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https://github.com/graphql-python/graphene/issues/1293 + +from datetime import datetime, timezone + +import graphene +from graphql.utilities import print_schema + + +class Filters(graphene.InputObjectType): + datetime_after = graphene.DateTime( + required=False, + default_value=datetime.fromtimestamp(1434549820.776, timezone.utc), + ) + datetime_before = graphene.DateTime( + required=False, + default_value=datetime.fromtimestamp(1444549820.776, timezone.utc), + ) + + +class SetDatetime(graphene.Mutation): + class Arguments: + filters = Filters(required=True) + + ok = graphene.Boolean() + + def mutate(root, info, filters): + return SetDatetime(ok=True) + + +class Query(graphene.ObjectType): + goodbye = graphene.String() + + +class Mutations(graphene.ObjectType): + set_datetime = SetDatetime.Field() + + +def test_schema_printable_with_default_datetime_value(): + schema = graphene.Schema(query=Query, mutation=Mutations) + schema_str = print_schema(schema.graphql_schema) + assert schema_str, "empty schema printed" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/tests/issues/test_881.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/tests/issues/test_881.py new file mode 100644 index 0000000000000000000000000000000000000000..f97b59176df1a05bb3bd87a1b18bde9291cc23ac --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/tests/issues/test_881.py @@ -0,0 +1,27 @@ +import pickle + +from ...types.enum import Enum + + +class PickleEnum(Enum): + # is defined outside of test because pickle unable to dump class inside ot pytest function + A = "a" + B = 1 + + +def test_enums_pickling(): + a = PickleEnum.A + pickled = pickle.dumps(a) + restored = pickle.loads(pickled) + assert type(a) is type(restored) + assert a == restored + assert a.value == restored.value + assert a.name == restored.name + + b = 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graphene.types.inputobjecttype import set_input_object_type_default_value + + +@pytest.fixture() +def set_default_input_object_type_to_undefined(): + """This fixture is used to change the default value of optional inputs in InputObjectTypes for specific tests""" + set_input_object_type_default_value(Undefined) + yield + set_input_object_type_default_value(None) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_argument.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_argument.py new file mode 100644 index 0000000000000000000000000000000000000000..c5521b6c25a7b487411e68c39537cb23fcb0ba2e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_argument.py @@ -0,0 +1,112 @@ +from functools import partial + +from pytest import raises + +from ..argument import Argument, to_arguments +from ..field import Field +from ..inputfield import InputField +from ..scalars import String +from ..structures import NonNull + + +def test_argument(): + arg = Argument(String, default_value="a", description="desc", name="b") + assert arg.type == String + assert arg.default_value == "a" + assert arg.description == "desc" + assert arg.name == "b" + + +def test_argument_comparasion(): + arg1 = Argument( + String, + name="Hey", + description="Desc", + default_value="default", + deprecation_reason="deprecated", + ) + arg2 = Argument( + String, + name="Hey", + description="Desc", + default_value="default", + deprecation_reason="deprecated", + ) + + assert arg1 == arg2 + assert arg1 != String() + + +def test_argument_required(): + arg = Argument(String, required=True) + assert arg.type == NonNull(String) + + +def test_to_arguments(): + args = {"arg_string": Argument(String), "unmounted_arg": String(required=True)} + + my_args = to_arguments(args) + assert my_args == { + "arg_string": Argument(String), + "unmounted_arg": Argument(String, required=True), + } + + +def test_to_arguments_deprecated(): + args = {"unmounted_arg": String(required=False, deprecation_reason="deprecated")} + + my_args = to_arguments(args) + assert my_args == { + "unmounted_arg": Argument( + String, required=False, deprecation_reason="deprecated" + ), + } + + +def test_to_arguments_required_deprecated(): + args = { + "unmounted_arg": String( + required=True, name="arg", deprecation_reason="deprecated" + ) + } + + with raises(AssertionError) as exc_info: + to_arguments(args) + + assert str(exc_info.value) == "Argument arg is required, cannot deprecate it." + + +def test_to_arguments_raises_if_field(): + args = {"arg_string": Field(String)} + + with raises(ValueError) as exc_info: + to_arguments(args) + + assert str(exc_info.value) == ( + "Expected arg_string to be Argument, but received Field. Try using " + "Argument(String)." + ) + + +def test_to_arguments_raises_if_inputfield(): + args = {"arg_string": InputField(String)} + + with raises(ValueError) as exc_info: + to_arguments(args) + + assert str(exc_info.value) == ( + "Expected arg_string to be Argument, but received InputField. Try " + "using Argument(String)." + ) + + +def test_argument_with_lazy_type(): + MyType = object() + arg = Argument(lambda: MyType) + assert arg.type == MyType + + +def test_argument_with_lazy_partial_type(): + MyType = object() + arg = Argument(partial(lambda: MyType)) + assert arg.type == MyType diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_base.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_base.py new file mode 100644 index 0000000000000000000000000000000000000000..2f70903cacb809d98eafa9505423516b024a0110 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_base.py @@ -0,0 +1,63 @@ +from ..base import BaseOptions, BaseType + + +class CustomOptions(BaseOptions): + pass + + +class CustomType(BaseType): + @classmethod + def __init_subclass_with_meta__(cls, **options): + _meta = CustomOptions(cls) + super(CustomType, cls).__init_subclass_with_meta__(_meta=_meta, **options) + + +def test_basetype(): + class MyBaseType(CustomType): + pass + + assert isinstance(MyBaseType._meta, CustomOptions) + assert MyBaseType._meta.name == "MyBaseType" + assert MyBaseType._meta.description is None + + +def test_basetype_nones(): + class MyBaseType(CustomType): + """Documentation""" + + class Meta: + name = None + description = None + + assert isinstance(MyBaseType._meta, CustomOptions) + assert MyBaseType._meta.name == "MyBaseType" + assert MyBaseType._meta.description == "Documentation" + + +def test_basetype_custom(): + class MyBaseType(CustomType): + """Documentation""" + + class Meta: + name = "Base" + description = "Desc" + + assert isinstance(MyBaseType._meta, CustomOptions) + assert MyBaseType._meta.name == "Base" + assert MyBaseType._meta.description == "Desc" + + +def test_basetype_create(): + MyBaseType = CustomType.create_type("MyBaseType") + + assert isinstance(MyBaseType._meta, CustomOptions) + assert MyBaseType._meta.name == "MyBaseType" + assert MyBaseType._meta.description is None + + +def test_basetype_create_extra(): + MyBaseType = CustomType.create_type("MyBaseType", name="Base", description="Desc") + + assert isinstance(MyBaseType._meta, CustomOptions) + assert MyBaseType._meta.name == "Base" + assert MyBaseType._meta.description == "Desc" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_base64.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_base64.py new file mode 100644 index 0000000000000000000000000000000000000000..433f63c340817fc74476ef95ad84cb44468e5aeb --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_base64.py @@ -0,0 +1,97 @@ +import base64 + +from graphql import GraphQLError + +from ..objecttype import ObjectType +from ..scalars import String +from ..schema import Schema +from ..base64 import Base64 + + +class Query(ObjectType): + base64 = Base64(_in=Base64(name="input"), _match=String(name="match")) + bytes_as_base64 = Base64() + string_as_base64 = Base64() + number_as_base64 = Base64() + + def resolve_base64(self, info, _in=None, _match=None): + if _match: + assert _in == _match + return _in + + def resolve_bytes_as_base64(self, info): + return b"Hello world" + + def resolve_string_as_base64(self, info): + return "Spam and eggs" + + def resolve_number_as_base64(self, info): + return 42 + + +schema = Schema(query=Query) + + +def test_base64_query(): + base64_value = base64.b64encode(b"Random string").decode("utf-8") + result = schema.execute( + """{{ base64(input: "{}", match: "Random string") }}""".format(base64_value) + ) + assert not result.errors + assert result.data == {"base64": base64_value} + + +def test_base64_query_with_variable(): + base64_value = base64.b64encode(b"Another string").decode("utf-8") + + # test datetime variable in string representation + result = schema.execute( + """ + query GetBase64($base64: Base64) { + base64(input: $base64, match: "Another string") + } + """, + variables={"base64": base64_value}, + ) + assert not result.errors + assert result.data == {"base64": base64_value} + + +def test_base64_query_none(): + result = schema.execute("""{ base64 }""") + assert not result.errors + assert result.data == {"base64": None} + + +def test_base64_query_invalid(): + bad_inputs = [dict(), 123, "This is not valid base64"] + + for input_ in bad_inputs: + result = schema.execute( + """{ base64(input: $input) }""", variables={"input": input_} + ) + assert isinstance(result.errors, list) + assert len(result.errors) == 1 + assert isinstance(result.errors[0], GraphQLError) + assert result.data is None + + +def test_base64_from_bytes(): + base64_value = base64.b64encode(b"Hello world").decode("utf-8") + result = schema.execute("""{ bytesAsBase64 }""") + assert not result.errors + assert result.data == {"bytesAsBase64": base64_value} + + +def test_base64_from_string(): + base64_value = base64.b64encode(b"Spam and eggs").decode("utf-8") + result = schema.execute("""{ stringAsBase64 }""") + assert not result.errors + assert result.data == {"stringAsBase64": base64_value} + + +def test_base64_from_number(): + base64_value = base64.b64encode(b"42").decode("utf-8") + result = schema.execute("""{ numberAsBase64 }""") + assert not result.errors + assert result.data == {"numberAsBase64": base64_value} diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_datetime.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_datetime.py new file mode 100644 index 0000000000000000000000000000000000000000..bc992af5c8ce41fa568dfdbbb69b13a8530eb740 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_datetime.py @@ -0,0 +1,274 @@ +import datetime + +from graphql import GraphQLError + +from pytest import fixture + +from ..datetime import Date, DateTime, Time +from ..objecttype import ObjectType +from ..schema import Schema + + +class Query(ObjectType): + datetime = DateTime(_in=DateTime(name="in")) + date = Date(_in=Date(name="in")) + time = Time(_at=Time(name="at")) + + def resolve_datetime(self, info, _in=None): + return _in + + def resolve_date(self, info, _in=None): + return _in + + def resolve_time(self, info, _at=None): + return _at + + +schema = Schema(query=Query) + + +@fixture +def sample_datetime(): + utc_datetime = datetime.datetime(2019, 5, 25, 5, 30, 15, 10, datetime.timezone.utc) + return utc_datetime + + +@fixture +def sample_time(sample_datetime): + time = datetime.time( + sample_datetime.hour, + sample_datetime.minute, + sample_datetime.second, + sample_datetime.microsecond, + sample_datetime.tzinfo, + ) + return time + + +@fixture +def sample_date(sample_datetime): + date = sample_datetime.date() + return date + + +def test_datetime_query(sample_datetime): + isoformat = sample_datetime.isoformat() + + result = schema.execute("""{ datetime(in: "%s") }""" % isoformat) + assert not result.errors + assert result.data == {"datetime": isoformat} + + +def test_datetime_query_with_variables(sample_datetime): + isoformat = sample_datetime.isoformat() + + result = schema.execute( + """ + query GetDate($datetime: DateTime) { + literal: datetime(in: "%s") + value: datetime(in: $datetime) + } + """ + % isoformat, + variable_values={"datetime": isoformat}, + ) + assert not result.errors + assert result.data == {"literal": isoformat, "value": isoformat} + + +def test_date_query(sample_date): + isoformat = sample_date.isoformat() + + result = schema.execute("""{ date(in: "%s") }""" % isoformat) + assert not result.errors + assert result.data == {"date": isoformat} + + +def test_date_query_with_variables(sample_date): + isoformat = sample_date.isoformat() + + result = schema.execute( + """ + query GetDate($date: Date) { + literal: date(in: "%s") + value: date(in: $date) + } + """ + % isoformat, + variable_values={"date": isoformat}, + ) + assert not result.errors + assert result.data == {"literal": isoformat, "value": isoformat} + + +def test_time_query(sample_time): + isoformat = sample_time.isoformat() + + result = schema.execute("""{ time(at: "%s") }""" % isoformat) + assert not result.errors + assert result.data == {"time": isoformat} + + +def test_time_query_with_variables(sample_time): + isoformat = sample_time.isoformat() + + result = schema.execute( + """ + query GetTime($time: Time) { + literal: time(at: "%s") + value: time(at: $time) + } + """ + % isoformat, + variable_values={"time": isoformat}, + ) + assert not result.errors + assert result.data == {"literal": isoformat, "value": isoformat} + + +def test_bad_datetime_query(): + not_a_date = "Some string that's not a datetime" + + result = schema.execute("""{ datetime(in: "%s") }""" % not_a_date) + + assert result.errors and len(result.errors) == 1 + error = result.errors[0] + assert isinstance(error, GraphQLError) + assert ( + error.message == "DateTime cannot represent value:" + ' "Some string that\'s not a datetime"' + ) + assert result.data is None + + +def test_bad_date_query(): + not_a_date = "Some string that's not a date" + + result = schema.execute("""{ date(in: "%s") }""" % not_a_date) + + error = result.errors[0] + assert isinstance(error, GraphQLError) + assert ( + error.message == "Date cannot represent value:" + ' "Some string that\'s not a date"' + ) + assert result.data is None + + +def test_bad_time_query(): + not_a_date = "Some string that's not a time" + + result = schema.execute("""{ time(at: "%s") }""" % not_a_date) + + error = result.errors[0] + assert isinstance(error, GraphQLError) + assert ( + error.message == "Time cannot represent value:" + ' "Some string that\'s not a time"' + ) + assert result.data is None + + +def test_datetime_query_variable(sample_datetime): + isoformat = sample_datetime.isoformat() + + # test datetime variable provided as Python datetime + result = schema.execute( + """query Test($date: DateTime){ datetime(in: $date) }""", + variables={"date": sample_datetime}, + ) + assert not result.errors + assert result.data == {"datetime": isoformat} + + # test datetime variable in string representation + result = schema.execute( + """query Test($date: DateTime){ datetime(in: $date) }""", + variables={"date": isoformat}, + ) + assert not result.errors + assert result.data == {"datetime": isoformat} + + +def test_date_query_variable(sample_date): + isoformat = sample_date.isoformat() + + # test date variable provided as Python date + result = schema.execute( + """query Test($date: Date){ date(in: $date) }""", + variables={"date": sample_date}, + ) + assert not result.errors + assert result.data == {"date": isoformat} + + # test date variable in string representation + result = schema.execute( + """query Test($date: Date){ date(in: $date) }""", variables={"date": isoformat} + ) + assert not result.errors + assert result.data == {"date": isoformat} + + +def test_time_query_variable(sample_time): + isoformat = sample_time.isoformat() + + # test time variable provided as Python time + result = schema.execute( + """query Test($time: Time){ time(at: $time) }""", + variables={"time": sample_time}, + ) + assert not result.errors + assert result.data == {"time": isoformat} + + # test time variable in string representation + result = schema.execute( + """query Test($time: Time){ time(at: $time) }""", variables={"time": isoformat} + ) + assert not result.errors + assert result.data == {"time": isoformat} + + +def test_support_isoformat(): + isoformat = "2011-11-04T00:05:23Z" + + # test time variable provided as Python time + result = schema.execute( + """query DateTime($time: DateTime){ datetime(in: $time) }""", + variables={"time": isoformat}, + ) + assert not result.errors + assert result.data == {"datetime": "2011-11-04T00:05:23+00:00"} + + +def test_bad_variables(sample_date, sample_datetime, sample_time): + def _test_bad_variables(type_, input_): + result = schema.execute( + f"""query Test($input: {type_}){{ {type_.lower()}(in: $input) }}""", + variables={"input": input_}, + ) + assert isinstance(result.errors, list) + assert len(result.errors) == 1 + assert isinstance(result.errors[0], GraphQLError) + assert result.data is None + + not_a_date = dict() + not_a_date_str = "Some string that's not a date" + today = sample_date + now = sample_datetime + time = sample_time + + bad_pairs = [ + ("DateTime", not_a_date), + ("DateTime", not_a_date_str), + ("DateTime", today), + ("DateTime", time), + ("Date", not_a_date), + ("Date", not_a_date_str), + ("Date", time), + ("Time", not_a_date), + ("Time", not_a_date_str), + ("Time", now), + ("Time", today), + ] + + for type_, input_ in bad_pairs: + _test_bad_variables(type_, input_) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_decimal.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_decimal.py new file mode 100644 index 0000000000000000000000000000000000000000..1ba48bd1d224475d652210e7a28dfebd9e0d2950 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_decimal.py @@ -0,0 +1,68 @@ +import decimal + +from ..decimal import Decimal +from ..objecttype import ObjectType +from ..schema import Schema + + +class Query(ObjectType): + decimal = Decimal(input=Decimal()) + + def resolve_decimal(self, info, input): + return input + + +schema = Schema(query=Query) + + +def test_decimal_string_query(): + decimal_value = decimal.Decimal("1969.1974") + result = schema.execute("""{ decimal(input: "%s") }""" % decimal_value) + assert not result.errors + assert result.data == {"decimal": str(decimal_value)} + assert decimal.Decimal(result.data["decimal"]) == decimal_value + + +def test_decimal_string_query_variable(): + decimal_value = decimal.Decimal("1969.1974") + + result = schema.execute( + """query Test($decimal: Decimal){ decimal(input: $decimal) }""", + variables={"decimal": decimal_value}, + ) + assert not result.errors + assert result.data == {"decimal": str(decimal_value)} + assert decimal.Decimal(result.data["decimal"]) == decimal_value + + +def test_bad_decimal_query(): + not_a_decimal = "Nobody expects the Spanish Inquisition!" + + result = schema.execute("""{ decimal(input: "%s") }""" % not_a_decimal) + assert result.errors + assert len(result.errors) == 1 + assert result.data is None + assert ( + result.errors[0].message + == "Expected value of type 'Decimal', found \"Nobody expects the Spanish Inquisition!\"." + ) + + result = schema.execute("{ decimal(input: true) }") + assert result.errors + assert len(result.errors) == 1 + assert result.data is None + assert result.errors[0].message == "Expected value of type 'Decimal', found true." + + result = schema.execute("{ decimal(input: 1.2) }") + assert result.errors + assert len(result.errors) == 1 + assert result.data is None + assert result.errors[0].message == "Expected value of type 'Decimal', found 1.2." + + +def test_decimal_string_query_integer(): + decimal_value = 1 + result = schema.execute("""{ decimal(input: %s) }""" % decimal_value) + assert not result.errors + assert result.data == {"decimal": str(decimal_value)} + assert decimal.Decimal(result.data["decimal"]) == decimal_value diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_definition.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_definition.py new file mode 100644 index 0000000000000000000000000000000000000000..898fac71b69c673e9734aecb79888106a1d8e678 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_definition.py @@ -0,0 +1,330 @@ +import copy + +from ..argument import Argument +from ..definitions import GrapheneGraphQLType +from ..enum import Enum +from ..field import Field +from ..inputfield import InputField +from ..inputobjecttype import InputObjectType +from ..interface import Interface +from ..objecttype import ObjectType +from ..scalars import Boolean, Int, String +from ..schema import Schema +from ..structures import List, NonNull +from ..union import Union + + +class Image(ObjectType): + url = String() + width = Int() + height = Int() + + +class Author(ObjectType): + id = String() + name = String() + pic = Field(Image, width=Int(), height=Int()) + recent_article = Field(lambda: Article) + + +class Article(ObjectType): + id = String() + is_published = Boolean() + author = Field(Author) + title = String() + body = String() + + +class Query(ObjectType): + article = Field(Article, id=String()) + feed = List(Article) + + +class Mutation(ObjectType): + write_article = Field(Article) + + +class Subscription(ObjectType): + article_subscribe = Field(Article, id=String()) + + +class MyObjectType(ObjectType): + pass + + +class MyInterface(Interface): + pass + + +class MyUnion(Union): + class Meta: + types = (Article,) + + +class MyEnum(Enum): + foo = "foo" + + +class MyInputObjectType(InputObjectType): + pass + + +def test_defines_a_query_only_schema(): + blog_schema = Schema(Query) + + assert blog_schema.query == Query + assert blog_schema.graphql_schema.query_type.graphene_type == Query + + article_field = Query._meta.fields["article"] + assert article_field.type == Article + assert article_field.type._meta.name == "Article" + + article_field_type = article_field.type + assert issubclass(article_field_type, ObjectType) + + title_field = article_field_type._meta.fields["title"] + assert title_field.type == String + + author_field = article_field_type._meta.fields["author"] + author_field_type = author_field.type + assert issubclass(author_field_type, ObjectType) + recent_article_field = author_field_type._meta.fields["recent_article"] + + assert recent_article_field.type == Article + + feed_field = Query._meta.fields["feed"] + assert feed_field.type.of_type == Article + + +def test_defines_a_mutation_schema(): + blog_schema = Schema(Query, mutation=Mutation) + + assert blog_schema.mutation == Mutation + assert blog_schema.graphql_schema.mutation_type.graphene_type == Mutation + + write_mutation = Mutation._meta.fields["write_article"] + assert write_mutation.type == Article + assert write_mutation.type._meta.name == "Article" + + +def test_defines_a_subscription_schema(): + blog_schema = Schema(Query, subscription=Subscription) + + assert blog_schema.subscription == Subscription + assert blog_schema.graphql_schema.subscription_type.graphene_type == Subscription + + subscription = Subscription._meta.fields["article_subscribe"] + assert subscription.type == Article + assert subscription.type._meta.name == "Article" + + +def test_includes_nested_input_objects_in_the_map(): + class NestedInputObject(InputObjectType): + value = String() + + class SomeInputObject(InputObjectType): + nested = InputField(NestedInputObject) + + class SomeMutation(Mutation): + mutate_something = Field(Article, input=Argument(SomeInputObject)) + + class SomeSubscription(Mutation): + subscribe_to_something = Field(Article, input=Argument(SomeInputObject)) + + schema = Schema(query=Query, mutation=SomeMutation, subscription=SomeSubscription) + type_map = schema.graphql_schema.type_map + + assert type_map["NestedInputObject"].graphene_type is NestedInputObject + + +def test_includes_interfaces_thunk_subtypes_in_the_type_map(): + class SomeInterface(Interface): + f = Int() + + class SomeSubtype(ObjectType): + class Meta: + interfaces = (SomeInterface,) + + class Query(ObjectType): + iface = Field(lambda: SomeInterface) + + schema = Schema(query=Query, types=[SomeSubtype]) + type_map = schema.graphql_schema.type_map + + assert type_map["SomeSubtype"].graphene_type is SomeSubtype + + +def test_includes_types_in_union(): + class SomeType(ObjectType): + a = String() + + class OtherType(ObjectType): + b = String() + + class MyUnion(Union): + class Meta: + types = (SomeType, OtherType) + + class Query(ObjectType): + union = Field(MyUnion) + + schema = Schema(query=Query) + type_map = schema.graphql_schema.type_map + + assert type_map["OtherType"].graphene_type is OtherType + assert type_map["SomeType"].graphene_type is SomeType + + +def test_maps_enum(): + class SomeType(ObjectType): + a = String() + + class OtherType(ObjectType): + b = String() + + class MyUnion(Union): + class Meta: + types = (SomeType, OtherType) + + class Query(ObjectType): + union = Field(MyUnion) + + schema = Schema(query=Query) + type_map = schema.graphql_schema.type_map + + assert type_map["OtherType"].graphene_type is OtherType + assert type_map["SomeType"].graphene_type is SomeType + + +def test_includes_interfaces_subtypes_in_the_type_map(): + class SomeInterface(Interface): + f = Int() + + class SomeSubtype(ObjectType): + class Meta: + interfaces = (SomeInterface,) + + class Query(ObjectType): + iface = Field(SomeInterface) + + schema = Schema(query=Query, types=[SomeSubtype]) + type_map = schema.graphql_schema.type_map + + assert type_map["SomeSubtype"].graphene_type is SomeSubtype + + +def test_stringifies_simple_types(): + assert str(Int) == "Int" + assert str(Article) == "Article" + assert str(MyInterface) == "MyInterface" + assert str(MyUnion) == "MyUnion" + assert str(MyEnum) == "MyEnum" + assert str(MyInputObjectType) == "MyInputObjectType" + assert str(NonNull(Int)) == "Int!" + assert str(List(Int)) == "[Int]" + assert str(NonNull(List(Int))) == "[Int]!" + assert str(List(NonNull(Int))) == "[Int!]" + assert str(List(List(Int))) == "[[Int]]" + + +# def test_identifies_input_types(): +# expected = ( +# (GraphQLInt, True), +# (ObjectType, False), +# (InterfaceType, False), +# (UnionType, False), +# (EnumType, True), +# (InputObjectType, True) +# ) + +# for type_, answer in expected: +# assert is_input_type(type_) == answer +# assert is_input_type(GraphQLList(type_)) == answer +# assert is_input_type(GraphQLNonNull(type_)) == answer + + +# def test_identifies_output_types(): +# expected = ( +# (GraphQLInt, True), +# (ObjectType, True), +# (InterfaceType, True), +# (UnionType, True), +# (EnumType, True), +# (InputObjectType, False) +# ) + +# for type, answer in expected: +# assert is_output_type(type) == answer +# assert is_output_type(GraphQLList(type)) == answer +# assert is_output_type(GraphQLNonNull(type)) == answer + + +# def test_prohibits_nesting_nonnull_inside_nonnull(): +# with raises(Exception) as excinfo: +# GraphQLNonNull(GraphQLNonNull(GraphQLInt)) + +# assert 'Can only create NonNull of a Nullable GraphQLType but got: Int!.' in str(excinfo.value) + + +# def test_prohibits_putting_non_object_types_in_unions(): +# bad_union_types = [ +# GraphQLInt, +# GraphQLNonNull(GraphQLInt), +# GraphQLList(GraphQLInt), +# InterfaceType, +# UnionType, +# EnumType, +# InputObjectType +# ] +# for x in bad_union_types: +# with raises(Exception) as excinfo: +# GraphQLSchema( +# GraphQLObjectType( +# 'Root', +# fields={ +# 'union': GraphQLField(GraphQLUnionType('BadUnion', [x])) +# } +# ) +# ) + +# assert 'BadUnion may only contain Object types, it cannot contain: ' + str(x) + '.' \ +# == str(excinfo.value) + + +def test_does_not_mutate_passed_field_definitions(): + class CommonFields: + field1 = String() + field2 = String(id=String()) + + class TestObject1(CommonFields, ObjectType): + pass + + class TestObject2(CommonFields, ObjectType): + pass + + assert TestObject1._meta.fields == TestObject2._meta.fields + + class CommonFields: + field1 = String() + field2 = String() + + class TestInputObject1(CommonFields, InputObjectType): + pass + + class TestInputObject2(CommonFields, InputObjectType): + pass + + assert TestInputObject1._meta.fields == TestInputObject2._meta.fields + + +def test_graphene_graphql_type_can_be_copied(): + class Query(ObjectType): + field = String() + + def resolve_field(self, info): + return "" + + schema = Schema(query=Query) + query_type_copy = copy.copy(schema.graphql_schema.query_type) + assert query_type_copy.__dict__ == schema.graphql_schema.query_type.__dict__ + assert isinstance(schema.graphql_schema.query_type, GrapheneGraphQLType) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_dynamic.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_dynamic.py new file mode 100644 index 0000000000000000000000000000000000000000..3b5f7a3b9d2426958d47cc390e152353aec1b35f --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_dynamic.py @@ -0,0 +1,38 @@ +from functools import partial + +from ..dynamic import Dynamic +from ..scalars import String +from ..structures import List, NonNull + + +def test_dynamic(): + dynamic = Dynamic(lambda: String) + assert dynamic.get_type() == String + assert str(dynamic.get_type()) == "String" + + +def test_nonnull(): + dynamic = Dynamic(lambda: NonNull(String)) + assert dynamic.get_type().of_type == String + assert str(dynamic.get_type()) == "String!" + + +def test_list(): + dynamic = Dynamic(lambda: List(String)) + assert dynamic.get_type().of_type == String + assert str(dynamic.get_type()) == "[String]" + + +def test_list_non_null(): + dynamic = Dynamic(lambda: List(NonNull(String))) + assert dynamic.get_type().of_type.of_type == String + assert str(dynamic.get_type()) == "[String!]" + + +def test_partial(): + def __type(_type): + return _type + + dynamic = Dynamic(partial(__type, String)) + assert dynamic.get_type() == String + assert str(dynamic.get_type()) == "String" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_enum.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_enum.py new file mode 100644 index 0000000000000000000000000000000000000000..e6fce66c98ed2afcb4846a3219c27a6ac6e78e96 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_enum.py @@ -0,0 +1,615 @@ +from textwrap import dedent + +from ..argument import Argument +from ..enum import Enum, PyEnum +from ..field import Field +from ..inputfield import InputField +from ..inputobjecttype import InputObjectType +from ..mutation import Mutation +from ..scalars import String +from ..schema import ObjectType, Schema + + +def test_enum_construction(): + class RGB(Enum): + """Description""" + + RED = 1 + GREEN = 2 + BLUE = 3 + + @property + def description(self): + return f"Description {self.name}" + + assert RGB._meta.name == "RGB" + assert RGB._meta.description == "Description" + + values = RGB._meta.enum.__members__.values() + assert sorted(v.name for v in values) == ["BLUE", "GREEN", "RED"] + assert sorted(v.description for v in values) == [ + "Description BLUE", + "Description GREEN", + "Description RED", + ] + + +def test_enum_construction_meta(): + class RGB(Enum): + class Meta: + name = "RGBEnum" + description = "Description" + + RED = 1 + GREEN = 2 + BLUE = 3 + + assert RGB._meta.name == "RGBEnum" + assert RGB._meta.description == "Description" + + +def test_enum_instance_construction(): + RGB = Enum("RGB", "RED,GREEN,BLUE") + + values = RGB._meta.enum.__members__.values() + assert sorted(v.name for v in values) == ["BLUE", "GREEN", "RED"] + + +def test_enum_from_builtin_enum(): + PyRGB = PyEnum("RGB", "RED,GREEN,BLUE") + + RGB = Enum.from_enum(PyRGB) + assert RGB._meta.enum == PyRGB + assert RGB.RED + assert RGB.GREEN + assert RGB.BLUE + + +def test_enum_custom_description_in_constructor(): + description = "An enumeration, but with a custom description" + RGB = Enum( + "RGB", + "RED,GREEN,BLUE", + description=description, + ) + assert RGB._meta.description == description + + +def test_enum_from_python3_enum_uses_default_builtin_doc(): + RGB = Enum("RGB", "RED,GREEN,BLUE") + assert RGB._meta.description == "An enumeration." + + +def test_enum_from_builtin_enum_accepts_lambda_description(): + def custom_description(value): + if not value: + return "StarWars Episodes" + + return "New Hope Episode" if value == Episode.NEWHOPE else "Other" + + def custom_deprecation_reason(value): + return "meh" if value == Episode.NEWHOPE else None + + PyEpisode = PyEnum("PyEpisode", "NEWHOPE,EMPIRE,JEDI") + Episode = Enum.from_enum( + PyEpisode, + description=custom_description, + deprecation_reason=custom_deprecation_reason, + ) + + class Query(ObjectType): + foo = Episode() + + schema = Schema(query=Query).graphql_schema + + episode = schema.get_type("PyEpisode") + + assert episode.description == "StarWars Episodes" + assert [ + (name, value.description, value.deprecation_reason) + for name, value in episode.values.items() + ] == [ + ("NEWHOPE", "New Hope Episode", "meh"), + ("EMPIRE", "Other", None), + ("JEDI", "Other", None), + ] + + +def test_enum_from_python3_enum_uses_enum_doc(): + from enum import Enum as PyEnum + + class Color(PyEnum): + """This is the description""" + + RED = 1 + GREEN = 2 + BLUE = 3 + + RGB = Enum.from_enum(Color) + assert RGB._meta.enum == Color + assert RGB._meta.description == "This is the description" + assert RGB + assert RGB.RED + assert RGB.GREEN + assert RGB.BLUE + + +def test_enum_value_from_class(): + class RGB(Enum): + RED = 1 + GREEN = 2 + BLUE = 3 + + assert RGB.RED.value == 1 + assert RGB.GREEN.value == 2 + assert RGB.BLUE.value == 3 + + +def test_enum_value_as_unmounted_field(): + class RGB(Enum): + RED = 1 + GREEN = 2 + BLUE = 3 + + unmounted = RGB() + unmounted_field = unmounted.Field() + assert isinstance(unmounted_field, Field) + assert unmounted_field.type == RGB + + +def test_enum_value_as_unmounted_inputfield(): + class RGB(Enum): + RED = 1 + GREEN = 2 + BLUE = 3 + + unmounted = RGB() + unmounted_field = unmounted.InputField() + assert isinstance(unmounted_field, InputField) + assert unmounted_field.type == RGB + + +def test_enum_value_as_unmounted_argument(): + class RGB(Enum): + RED = 1 + GREEN = 2 + BLUE = 3 + + unmounted = RGB() + unmounted_field = unmounted.Argument() + assert isinstance(unmounted_field, Argument) + assert unmounted_field.type == RGB + + +def test_enum_can_be_compared(): + class RGB(Enum): + RED = 1 + GREEN = 2 + BLUE = 3 + + assert RGB.RED == 1 + assert RGB.GREEN == 2 + assert RGB.BLUE == 3 + + +def test_enum_can_be_initialized(): + class RGB(Enum): + RED = 1 + GREEN = 2 + BLUE = 3 + + assert RGB.get(1) == RGB.RED + assert RGB.get(2) == RGB.GREEN + assert RGB.get(3) == RGB.BLUE + + +def test_enum_can_retrieve_members(): + class RGB(Enum): + RED = 1 + GREEN = 2 + BLUE = 3 + + assert RGB["RED"] == RGB.RED + assert RGB["GREEN"] == RGB.GREEN + assert RGB["BLUE"] == RGB.BLUE + + +def test_enum_to_enum_comparison_should_differ(): + class RGB1(Enum): + RED = 1 + GREEN = 2 + BLUE = 3 + + class RGB2(Enum): + RED = 1 + GREEN = 2 + BLUE = 3 + + assert RGB1.RED != RGB2.RED + assert RGB1.GREEN != RGB2.GREEN + assert RGB1.BLUE != RGB2.BLUE + + +def test_enum_skip_meta_from_members(): + class RGB1(Enum): + class Meta: + name = "RGB" + + RED = 1 + GREEN = 2 + BLUE = 3 + + assert dict(RGB1._meta.enum.__members__) == { + "RED": RGB1.RED, + "GREEN": RGB1.GREEN, + "BLUE": RGB1.BLUE, + } + + +def test_enum_types(): + from enum import Enum as PyEnum + + class Color(PyEnum): + """Primary colors""" + + RED = 1 + YELLOW = 2 + BLUE = 3 + + GColor = Enum.from_enum(Color) + + class Query(ObjectType): + color = GColor(required=True) + + def resolve_color(_, info): + return Color.RED + + schema = Schema(query=Query) + + assert ( + str(schema).strip() + == dedent( + ''' + type Query { + color: Color! + } + + """Primary colors""" + enum Color { + RED + YELLOW + BLUE + } + ''' + ).strip() + ) + + +def test_enum_resolver(): + from enum import Enum as PyEnum + + class Color(PyEnum): + RED = 1 + GREEN = 2 + BLUE = 3 + + GColor = Enum.from_enum(Color) + + class Query(ObjectType): + color = GColor(required=True) + + def resolve_color(_, info): + return Color.RED + + schema = Schema(query=Query) + + results = schema.execute("query { color }") + assert not results.errors + + assert results.data["color"] == Color.RED.name + + +def test_enum_resolver_compat(): + from enum import Enum as PyEnum + + class Color(PyEnum): + RED = 1 + GREEN = 2 + BLUE = 3 + + GColor = Enum.from_enum(Color) + + class Query(ObjectType): + color = GColor(required=True) + color_by_name = GColor(required=True) + + def resolve_color(_, info): + return Color.RED.value + + def resolve_color_by_name(_, info): + return Color.RED.name + + schema = Schema(query=Query) + + results = schema.execute( + """query { + color + colorByName + }""" + ) + assert not results.errors + + assert results.data["color"] == Color.RED.name + assert results.data["colorByName"] == Color.RED.name + + +def test_enum_with_name(): + from enum import Enum as PyEnum + + class Color(PyEnum): + RED = 1 + YELLOW = 2 + BLUE = 3 + + GColor = Enum.from_enum(Color, description="original colors") + UniqueGColor = Enum.from_enum( + Color, name="UniqueColor", description="unique colors" + ) + + class Query(ObjectType): + color = GColor(required=True) + unique_color = UniqueGColor(required=True) + + schema = Schema(query=Query) + + assert ( + str(schema).strip() + == dedent( + ''' + type Query { + color: Color! + uniqueColor: UniqueColor! + } + + """original colors""" + enum Color { + RED + YELLOW + BLUE + } + + """unique colors""" + enum UniqueColor { + RED + YELLOW + BLUE + } + ''' + ).strip() + ) + + +def test_enum_resolver_invalid(): + from enum import Enum as PyEnum + + class Color(PyEnum): + RED = 1 + GREEN = 2 + BLUE = 3 + + GColor = Enum.from_enum(Color) + + class Query(ObjectType): + color = GColor(required=True) + + def resolve_color(_, info): + return "BLACK" + + schema = Schema(query=Query) + + results = schema.execute("query { color }") + assert results.errors + assert results.errors[0].message == "Enum 'Color' cannot represent value: 'BLACK'" + + +def test_field_enum_argument(): + class Color(Enum): + RED = 1 + GREEN = 2 + BLUE = 3 + + class Brick(ObjectType): + color = Color(required=True) + + color_filter = None + + class Query(ObjectType): + bricks_by_color = Field(Brick, color=Color(required=True)) + + def resolve_bricks_by_color(_, info, color): + nonlocal color_filter + color_filter = color + return Brick(color=color) + + schema = Schema(query=Query) + + results = schema.execute( + """ + query { + bricksByColor(color: RED) { + color + } + } + """ + ) + assert not results.errors + assert results.data == {"bricksByColor": {"color": "RED"}} + assert color_filter == Color.RED + + +def test_mutation_enum_input(): + class RGB(Enum): + """Available colors""" + + RED = 1 + GREEN = 2 + BLUE = 3 + + color_input = None + + class CreatePaint(Mutation): + class Arguments: + color = RGB(required=True) + + color = RGB(required=True) + + def mutate(_, info, color): + nonlocal color_input + color_input = color + return CreatePaint(color=color) + + class MyMutation(ObjectType): + create_paint = CreatePaint.Field() + + class Query(ObjectType): + a = String() + + schema = Schema(query=Query, mutation=MyMutation) + result = schema.execute( + """ mutation MyMutation { + createPaint(color: RED) { + color + } + } + """ + ) + assert not result.errors + assert result.data == {"createPaint": {"color": "RED"}} + + assert color_input == RGB.RED + + +def test_mutation_enum_input_type(): + class RGB(Enum): + """Available colors""" + + RED = 1 + GREEN = 2 + BLUE = 3 + + class ColorInput(InputObjectType): + color = RGB(required=True) + + color_input_value = None + + class CreatePaint(Mutation): + class Arguments: + color_input = ColorInput(required=True) + + color = RGB(required=True) + + def mutate(_, info, color_input): + nonlocal color_input_value + color_input_value = color_input.color + return CreatePaint(color=color_input.color) + + class MyMutation(ObjectType): + create_paint = CreatePaint.Field() + + class Query(ObjectType): + a = String() + + schema = Schema(query=Query, mutation=MyMutation) + result = schema.execute( + """ + mutation MyMutation { + createPaint(colorInput: { color: RED }) { + color + } + } + """ + ) + assert not result.errors + assert result.data == {"createPaint": {"color": "RED"}} + + assert color_input_value == RGB.RED + + +def test_hashable_enum(): + class RGB(Enum): + """Available colors""" + + RED = 1 + GREEN = 2 + BLUE = 3 + + color_map = {RGB.RED: "a", RGB.BLUE: "b", 1: "c"} + + assert color_map[RGB.RED] == "a" + assert color_map[RGB.BLUE] == "b" + assert color_map[1] == "c" + + +def test_hashable_instance_creation_enum(): + Episode = Enum("Episode", [("NEWHOPE", 4), ("EMPIRE", 5), ("JEDI", 6)]) + + trilogy_map = {Episode.NEWHOPE: "better", Episode.EMPIRE: "best", 5: "foo"} + + assert trilogy_map[Episode.NEWHOPE] == "better" + assert trilogy_map[Episode.EMPIRE] == "best" + assert trilogy_map[5] == "foo" + + +def test_enum_iteration(): + class TestEnum(Enum): + FIRST = 1 + SECOND = 2 + + result = [] + expected_values = ["FIRST", "SECOND"] + for c in TestEnum: + result.append(c.name) + assert result == expected_values + + +def test_iterable_instance_creation_enum(): + TestEnum = Enum("TestEnum", [("FIRST", 1), ("SECOND", 2)]) + + result = [] + expected_values = ["FIRST", "SECOND"] + for c in TestEnum: + result.append(c.name) + assert result == expected_values + + +# https://github.com/graphql-python/graphene/issues/1321 +def test_enum_description_member_not_interpreted_as_property(): + class RGB(Enum): + """Description""" + + red = "red" + green = "green" + blue = "blue" + description = "description" + deprecation_reason = "deprecation_reason" + + class Query(ObjectType): + color = RGB() + + def resolve_color(_, info): + return RGB.description + + values = RGB._meta.enum.__members__.values() + assert sorted(v.name for v in values) == [ + "blue", + "deprecation_reason", + "description", + "green", + "red", + ] + + schema = Schema(query=Query) + + results = schema.execute("query { color }") + assert not results.errors + assert results.data["color"] == RGB.description.name diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_field.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_field.py new file mode 100644 index 0000000000000000000000000000000000000000..f0401bfae232331c0f626e752c77255f1ba3b6e0 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_field.py @@ -0,0 +1,147 @@ +from functools import partial + +from pytest import raises + +from ..argument import Argument +from ..field import Field +from ..scalars import String +from ..structures import NonNull +from .utils import MyLazyType + + +class MyInstance: + value = "value" + value_func = staticmethod(lambda: "value_func") + + def value_method(self): + return "value_method" + + +def test_field_basic(): + MyType = object() + args = {"my arg": Argument(True)} + + def resolver(): + return None + + deprecation_reason = "Deprecated now" + description = "My Field" + my_default = "something" + field = Field( + MyType, + name="name", + args=args, + resolver=resolver, + description=description, + deprecation_reason=deprecation_reason, + default_value=my_default, + ) + assert field.name == "name" + assert field.args == args + assert field.resolver == resolver + assert field.deprecation_reason == deprecation_reason + assert field.description == description + assert field.default_value == my_default + + +def test_field_required(): + MyType = object() + field = Field(MyType, required=True) + assert isinstance(field.type, NonNull) + assert field.type.of_type == MyType + + +def test_field_default_value_not_callable(): + MyType = object() + try: + Field(MyType, default_value=lambda: True) + except AssertionError as e: + # substring comparison for py 2/3 compatibility + assert "The default value can not be a function but received" in str(e) + + +def test_field_source(): + MyType = object() + field = Field(MyType, source="value") + assert field.resolver(MyInstance(), None) == MyInstance.value + + +def test_field_source_dict_or_attr(): + MyType = object() + field = Field(MyType, source="value") + assert field.resolver(MyInstance(), None) == MyInstance.value + assert field.resolver({"value": MyInstance.value}, None) == MyInstance.value + + +def test_field_with_lazy_type(): + MyType = object() + field = Field(lambda: MyType) + assert field.type == MyType + + +def test_field_with_lazy_partial_type(): + MyType = object() + field = Field(partial(lambda: MyType)) + assert field.type == MyType + + +def test_field_with_string_type(): + field = Field("graphene.types.tests.utils.MyLazyType") + assert field.type == MyLazyType + + +def test_field_not_source_and_resolver(): + MyType = object() + with raises(Exception) as exc_info: + Field(MyType, source="value", resolver=lambda: None) + assert ( + str(exc_info.value) + == "A Field cannot have a source and a resolver in at the same time." + ) + + +def test_field_source_func(): + MyType = object() + field = Field(MyType, source="value_func") + assert field.resolver(MyInstance(), None) == MyInstance.value_func() + + +def test_field_source_method(): + MyType = object() + field = Field(MyType, source="value_method") + assert field.resolver(MyInstance(), None) == MyInstance().value_method() + + +def test_field_source_as_argument(): + MyType = object() + field = Field(MyType, source=String()) + assert "source" in field.args + assert field.args["source"].type == String + + +def test_field_name_as_argument(): + MyType = object() + field = Field(MyType, name=String()) + assert "name" in field.args + assert field.args["name"].type == String + + +def test_field_source_argument_as_kw(): + MyType = object() + deprecation_reason = "deprecated" + field = Field( + MyType, + b=NonNull(True), + c=Argument(None, deprecation_reason=deprecation_reason), + a=NonNull(False), + ) + assert list(field.args) == ["b", "c", "a"] + assert isinstance(field.args["b"], Argument) + assert isinstance(field.args["b"].type, NonNull) + assert field.args["b"].type.of_type is True + assert isinstance(field.args["c"], Argument) + assert field.args["c"].type is None + assert field.args["c"].deprecation_reason == deprecation_reason + assert isinstance(field.args["a"], Argument) + assert isinstance(field.args["a"].type, NonNull) + assert field.args["a"].type.of_type is False diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_generic.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_generic.py new file mode 100644 index 0000000000000000000000000000000000000000..338da9823a5c51bc4e5f0985279654db250fb774 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_generic.py @@ -0,0 +1,84 @@ +from ..generic import GenericScalar +from ..objecttype import ObjectType +from ..schema import Schema + + +class Query(ObjectType): + generic = GenericScalar(input=GenericScalar()) + + def resolve_generic(self, info, input=None): + return input + + +schema = Schema(query=Query) + + +def test_generic_query_variable(): + for generic_value in [ + 1, + 1.1, + True, + "str", + [1, 2, 3], + [1.1, 2.2, 3.3], + [True, False], + ["str1", "str2"], + {"key_a": "a", "key_b": "b"}, + { + "int": 1, + "float": 1.1, + "boolean": True, + "string": "str", + "int_list": [1, 2, 3], + "float_list": [1.1, 2.2, 3.3], + "boolean_list": [True, False], + "string_list": ["str1", "str2"], + "nested_dict": {"key_a": "a", "key_b": "b"}, + }, + None, + ]: + result = schema.execute( + """query Test($generic: GenericScalar){ generic(input: $generic) }""", + variables={"generic": generic_value}, + ) + assert not result.errors + assert result.data == {"generic": generic_value} + + +def test_generic_parse_literal_query(): + result = schema.execute( + """ + query { + generic(input: { + int: 1, + float: 1.1 + boolean: true, + string: "str", + int_list: [1, 2, 3], + float_list: [1.1, 2.2, 3.3], + boolean_list: [true, false] + string_list: ["str1", "str2"], + nested_dict: { + key_a: "a", + key_b: "b" + }, + empty_key: undefined + }) + } + """ + ) + assert not result.errors + assert result.data == { + "generic": { + "int": 1, + "float": 1.1, + "boolean": True, + "string": "str", + "int_list": [1, 2, 3], + "float_list": [1.1, 2.2, 3.3], + "boolean_list": [True, False], + "string_list": ["str1", "str2"], + "nested_dict": {"key_a": "a", "key_b": "b"}, + "empty_key": None, + } + } diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_inputfield.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_inputfield.py new file mode 100644 index 0000000000000000000000000000000000000000..9b1001286d7e727b26f762adc36b92339753a8f4 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_inputfield.py @@ -0,0 +1,47 @@ +from functools import partial + +from pytest import raises + +from ..inputfield import InputField +from ..structures import NonNull +from .utils import MyLazyType + + +def test_inputfield_required(): + MyType = object() + field = InputField(MyType, required=True) + assert isinstance(field.type, NonNull) + assert field.type.of_type == MyType + + +def test_inputfield_deprecated(): + MyType = object() + deprecation_reason = "deprecated" + field = InputField(MyType, required=False, deprecation_reason=deprecation_reason) + assert isinstance(field.type, type(MyType)) + assert field.deprecation_reason == deprecation_reason + + +def test_inputfield_required_deprecated(): + MyType = object() + with raises(AssertionError) as exc_info: + InputField(MyType, name="input", required=True, deprecation_reason="deprecated") + + assert str(exc_info.value) == "InputField input is required, cannot deprecate it." + + +def test_inputfield_with_lazy_type(): + MyType = object() + field = InputField(lambda: MyType) + assert field.type == MyType + + +def test_inputfield_with_lazy_partial_type(): + MyType = object() + field = InputField(partial(lambda: MyType)) + assert field.type == MyType + + +def test_inputfield_with_string_type(): + field = InputField("graphene.types.tests.utils.MyLazyType") + assert field.type == MyLazyType diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_inputobjecttype.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_inputobjecttype.py new file mode 100644 index 0000000000000000000000000000000000000000..0d7bcf80c95f7e301ef9c7204c36abee93c61f33 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_inputobjecttype.py @@ -0,0 +1,169 @@ +from graphql import Undefined + +from ..argument import Argument +from ..field import Field +from ..inputfield import InputField +from ..inputobjecttype import InputObjectType +from ..objecttype import ObjectType +from ..scalars import Boolean, String +from ..schema import Schema +from ..unmountedtype import UnmountedType +from ... import NonNull + + +class MyType: + pass + + +class MyScalar(UnmountedType): + def get_type(self): + return MyType + + +def test_generate_inputobjecttype(): + class MyInputObjectType(InputObjectType): + """Documentation""" + + assert MyInputObjectType._meta.name == "MyInputObjectType" + assert MyInputObjectType._meta.description == "Documentation" + assert MyInputObjectType._meta.fields == {} + + +def test_generate_inputobjecttype_with_meta(): + class MyInputObjectType(InputObjectType): + class Meta: + name = "MyOtherInputObjectType" + description = "Documentation" + + assert MyInputObjectType._meta.name == "MyOtherInputObjectType" + assert MyInputObjectType._meta.description == "Documentation" + + +def test_generate_inputobjecttype_with_fields(): + class MyInputObjectType(InputObjectType): + field = Field(MyType) + + assert "field" in MyInputObjectType._meta.fields + + +def test_ordered_fields_in_inputobjecttype(): + class MyInputObjectType(InputObjectType): + b = InputField(MyType) + a = InputField(MyType) + field = MyScalar() + asa = InputField(MyType) + + assert list(MyInputObjectType._meta.fields) == ["b", "a", "field", "asa"] + + +def test_generate_inputobjecttype_unmountedtype(): + class MyInputObjectType(InputObjectType): + field = MyScalar(MyType) + + assert "field" in MyInputObjectType._meta.fields + assert isinstance(MyInputObjectType._meta.fields["field"], InputField) + + +def test_generate_inputobjecttype_as_argument(): + class MyInputObjectType(InputObjectType): + field = MyScalar() + + class MyObjectType(ObjectType): + field = Field(MyType, input=MyInputObjectType()) + + assert "field" in MyObjectType._meta.fields + field = MyObjectType._meta.fields["field"] + assert isinstance(field, Field) + assert field.type == MyType + assert "input" in field.args + assert isinstance(field.args["input"], Argument) + assert field.args["input"].type == MyInputObjectType + + +def test_generate_inputobjecttype_inherit_abstracttype(): + class MyAbstractType: + field1 = MyScalar(MyType) + + class MyInputObjectType(InputObjectType, MyAbstractType): + field2 = MyScalar(MyType) + + assert list(MyInputObjectType._meta.fields) == ["field1", "field2"] + assert [type(x) for x in MyInputObjectType._meta.fields.values()] == [ + InputField, + InputField, + ] + + +def test_generate_inputobjecttype_inherit_abstracttype_reversed(): + class MyAbstractType: + field1 = MyScalar(MyType) + + class MyInputObjectType(MyAbstractType, InputObjectType): + field2 = MyScalar(MyType) + + assert list(MyInputObjectType._meta.fields) == ["field1", "field2"] + assert [type(x) for x in MyInputObjectType._meta.fields.values()] == [ + InputField, + InputField, + ] + + +def test_inputobjecttype_of_input(): + class Child(InputObjectType): + first_name = String() + last_name = String() + + @property + def full_name(self): + return f"{self.first_name} {self.last_name}" + + class Parent(InputObjectType): + child = InputField(Child) + + class Query(ObjectType): + is_child = Boolean(parent=Parent()) + + def resolve_is_child(self, info, parent): + return ( + isinstance(parent.child, Child) + and parent.child.full_name == "Peter Griffin" + ) + + schema = Schema(query=Query) + result = schema.execute( + """query basequery { + isChild(parent: {child: {firstName: "Peter", lastName: "Griffin"}}) + } + """ + ) + + assert not result.errors + assert result.data == {"isChild": True} + + +def test_inputobjecttype_default_input_as_undefined( + set_default_input_object_type_to_undefined, +): + class TestUndefinedInput(InputObjectType): + required_field = String(required=True) + optional_field = String() + + class Query(ObjectType): + undefined_optionals_work = Field(NonNull(Boolean), input=TestUndefinedInput()) + + def resolve_undefined_optionals_work(self, info, input: TestUndefinedInput): + # Confirm that optional_field comes as Undefined + return ( + input.required_field == "required" and input.optional_field is Undefined + ) + + schema = Schema(query=Query) + result = schema.execute( + """query basequery { + undefinedOptionalsWork(input: {requiredField: "required"}) + } + """ + ) + + assert not result.errors + assert result.data == {"undefinedOptionalsWork": True} diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_interface.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_interface.py new file mode 100644 index 0000000000000000000000000000000000000000..3dd4fc4fbaedd51862ab2263f32af8b637b1957f --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_interface.py @@ -0,0 +1,204 @@ +from ..field import Field +from ..interface import Interface +from ..objecttype import ObjectType +from ..scalars import String +from ..schema import Schema +from ..unmountedtype import UnmountedType + + +class MyType: + pass + + +class MyScalar(UnmountedType): + def get_type(self): + return MyType + + +def test_generate_interface(): + class MyInterface(Interface): + """Documentation""" + + assert MyInterface._meta.name == "MyInterface" + assert MyInterface._meta.description == "Documentation" + assert MyInterface._meta.fields == {} + + +def test_generate_interface_with_meta(): + class MyFirstInterface(Interface): + pass + + class MyInterface(Interface): + class Meta: + name = "MyOtherInterface" + description = "Documentation" + interfaces = [MyFirstInterface] + + assert MyInterface._meta.name == "MyOtherInterface" + assert MyInterface._meta.description == "Documentation" + assert MyInterface._meta.interfaces == [MyFirstInterface] + + +def test_generate_interface_with_fields(): + class MyInterface(Interface): + field = Field(MyType) + + assert "field" in MyInterface._meta.fields + + +def test_ordered_fields_in_interface(): + class MyInterface(Interface): + b = Field(MyType) + a = Field(MyType) + field = MyScalar() + asa = Field(MyType) + + assert list(MyInterface._meta.fields) == ["b", "a", "field", "asa"] + + +def test_generate_interface_unmountedtype(): + class MyInterface(Interface): + field = MyScalar() + + assert "field" in MyInterface._meta.fields + assert isinstance(MyInterface._meta.fields["field"], Field) + + +def test_generate_interface_inherit_abstracttype(): + class MyAbstractType: + field1 = MyScalar() + + class MyInterface(Interface, MyAbstractType): + field2 = MyScalar() + + assert list(MyInterface._meta.fields) == ["field1", "field2"] + assert [type(x) for x in MyInterface._meta.fields.values()] == [Field, Field] + + +def test_generate_interface_inherit_interface(): + class MyBaseInterface(Interface): + field1 = MyScalar() + + class MyInterface(MyBaseInterface): + field2 = MyScalar() + + assert MyInterface._meta.name == "MyInterface" + assert list(MyInterface._meta.fields) == ["field1", "field2"] + assert [type(x) for x in MyInterface._meta.fields.values()] == [Field, Field] + + +def test_generate_interface_inherit_abstracttype_reversed(): + class MyAbstractType: + field1 = MyScalar() + + class MyInterface(MyAbstractType, Interface): + field2 = MyScalar() + + assert list(MyInterface._meta.fields) == ["field1", "field2"] + assert [type(x) for x in MyInterface._meta.fields.values()] == [Field, Field] + + +def test_resolve_type_default(): + class MyInterface(Interface): + field2 = String() + + class MyTestType(ObjectType): + class Meta: + interfaces = (MyInterface,) + + class Query(ObjectType): + test = Field(MyInterface) + + def resolve_test(_, info): + return MyTestType() + + schema = Schema(query=Query, types=[MyTestType]) + + result = schema.execute( + """ + query { + test { + __typename + } + } + """ + ) + assert not result.errors + assert result.data == {"test": {"__typename": "MyTestType"}} + + +def test_resolve_type_custom(): + class MyInterface(Interface): + field2 = String() + + @classmethod + def resolve_type(cls, instance, info): + if instance["type"] == 1: + return MyTestType1 + return MyTestType2 + + class MyTestType1(ObjectType): + class Meta: + interfaces = (MyInterface,) + + class MyTestType2(ObjectType): + class Meta: + interfaces = (MyInterface,) + + class Query(ObjectType): + test = Field(MyInterface) + + def resolve_test(_, info): + return {"type": 1} + + schema = Schema(query=Query, types=[MyTestType1, MyTestType2]) + + result = schema.execute( + """ + query { + test { + __typename + } + } + """ + ) + assert not result.errors + assert result.data == {"test": {"__typename": "MyTestType1"}} + + +def test_resolve_type_custom_interferes(): + class MyInterface(Interface): + field2 = String() + type_ = String(name="type") + + def resolve_type_(_, info): + return "foo" + + class MyTestType1(ObjectType): + class Meta: + interfaces = (MyInterface,) + + class MyTestType2(ObjectType): + class Meta: + interfaces = (MyInterface,) + + class Query(ObjectType): + test = Field(MyInterface) + + def resolve_test(_, info): + return MyTestType1() + + schema = Schema(query=Query, types=[MyTestType1, MyTestType2]) + + result = schema.execute( + """ + query { + test { + __typename + type + } + } + """ + ) + assert not result.errors + assert result.data == {"test": {"__typename": "MyTestType1", "type": "foo"}} diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_json.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_json.py new file mode 100644 index 0000000000000000000000000000000000000000..0d4ae7a6e5d4a6798794c6f798863834a48debf9 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_json.py @@ -0,0 +1,80 @@ +from ..json import JSONString +from ..objecttype import ObjectType +from ..schema import Schema + + +class Query(ObjectType): + json = JSONString(input=JSONString()) + + def resolve_json(self, info, input): + return input + + +schema = Schema(query=Query) + + +def test_jsonstring_query(): + json_value = '{"key": "value"}' + + json_value_quoted = json_value.replace('"', '\\"') + result = schema.execute("""{ json(input: "%s") }""" % json_value_quoted) + assert not result.errors + assert result.data == {"json": json_value} + + result = schema.execute("""{ json(input: "{}") }""") + assert not result.errors + assert result.data == {"json": "{}"} + + +def test_jsonstring_query_variable(): + json_value = '{"key": "value"}' + + result = schema.execute( + """query Test($json: JSONString){ json(input: $json) }""", + variables={"json": json_value}, + ) + assert not result.errors + assert result.data == {"json": json_value} + + +def test_jsonstring_optional_uuid_input(): + """ + Test that we can provide a null value to an optional input + """ + result = schema.execute("{ json(input: null) }") + assert not result.errors + assert result.data == {"json": None} + + +def test_jsonstring_invalid_query(): + """ + Test that if an invalid type is provided we get an error + """ + result = schema.execute("{ json(input: 1) }") + assert result.errors == [ + {"message": "Expected value of type 'JSONString', found 1."}, + ] + + result = schema.execute("{ json(input: {}) }") + assert result.errors == [ + {"message": "Expected value of type 'JSONString', found {}."}, + ] + + result = schema.execute('{ json(input: "a") }') + assert result.errors == [ + { + "message": "Expected value of type 'JSONString', found \"a\"; " + "Badly formed JSONString: Expecting value: line 1 column 1 (char 0)", + }, + ] + + result = schema.execute("""{ json(input: "{\\'key\\': 0}") }""") + assert result.errors == [ + {"message": "Syntax Error: Invalid character escape sequence: '\\''."}, + ] + + result = schema.execute("""{ json(input: "{\\"key\\": 0,}") }""") + assert len(result.errors) == 1 + assert result.errors[0].message.startswith( + 'Expected value of type \'JSONString\', found "{\\"key\\": 0,}"; Badly formed JSONString:' + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_mountedtype.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_mountedtype.py new file mode 100644 index 0000000000000000000000000000000000000000..b964233e1ff1c9d9d96167e0cb02c5e0de519be5 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_mountedtype.py @@ -0,0 +1,23 @@ +from ..field import Field +from ..scalars import String + + +class CustomField(Field): + def __init__(self, *args, **kwargs): + self.metadata = kwargs.pop("metadata", None) + super(CustomField, self).__init__(*args, **kwargs) + + +def test_mounted_type(): + unmounted = String() + mounted = Field.mounted(unmounted) + assert isinstance(mounted, Field) + assert mounted.type == String + + +def test_mounted_type_custom(): + unmounted = String(metadata={"hey": "yo!"}) + mounted = CustomField.mounted(unmounted) + assert isinstance(mounted, CustomField) + assert mounted.type == String + assert mounted.metadata == {"hey": "yo!"} diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_mutation.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_mutation.py new file mode 100644 index 0000000000000000000000000000000000000000..4a7ad3c7c59baee56da99d857fa88deb0be50324 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_mutation.py @@ -0,0 +1,220 @@ +from pytest import raises + +from ..argument import Argument +from ..dynamic import Dynamic +from ..mutation import Mutation +from ..objecttype import ObjectType +from ..scalars import String +from ..schema import Schema +from ..structures import NonNull +from ..interface import Interface + + +class MyType(Interface): + pass + + +def test_generate_mutation_no_args(): + class MyMutation(Mutation): + """Documentation""" + + def mutate(self, info, **args): + return args + + assert issubclass(MyMutation, ObjectType) + assert MyMutation._meta.name == "MyMutation" + assert MyMutation._meta.description == "Documentation" + resolved = MyMutation.Field().resolver(None, None, name="Peter") + assert resolved == {"name": "Peter"} + + +def test_generate_mutation_with_meta(): + class MyMutation(Mutation): + class Meta: + name = "MyOtherMutation" + description = "Documentation" + interfaces = (MyType,) + + def mutate(self, info, **args): + return args + + assert MyMutation._meta.name == "MyOtherMutation" + assert MyMutation._meta.description == "Documentation" + assert MyMutation._meta.interfaces == (MyType,) + resolved = MyMutation.Field().resolver(None, None, name="Peter") + assert resolved == {"name": "Peter"} + + +def test_mutation_raises_exception_if_no_mutate(): + with raises(AssertionError) as excinfo: + + class MyMutation(Mutation): + pass + + assert "All mutations must define a mutate method in it" == str(excinfo.value) + + +def test_mutation_custom_output_type(): + class User(ObjectType): + name = String() + + class CreateUser(Mutation): + class Arguments: + name = String() + + Output = User + + def mutate(self, info, name): + return User(name=name) + + field = CreateUser.Field() + assert field.type == User + assert field.args == {"name": Argument(String)} + resolved = field.resolver(None, None, name="Peter") + assert isinstance(resolved, User) + assert resolved.name == "Peter" + + +def test_mutation_execution(): + class CreateUser(Mutation): + class Arguments: + name = String() + dynamic = Dynamic(lambda: String()) + dynamic_none = Dynamic(lambda: None) + + name = String() + dynamic = Dynamic(lambda: String()) + + def mutate(self, info, name, dynamic): + return CreateUser(name=name, dynamic=dynamic) + + class Query(ObjectType): + a = String() + + class MyMutation(ObjectType): + create_user = CreateUser.Field() + + schema = Schema(query=Query, mutation=MyMutation) + result = schema.execute( + """ mutation mymutation { + createUser(name:"Peter", dynamic: "dynamic") { + name + dynamic + } + } + """ + ) + assert not result.errors + assert result.data == {"createUser": {"name": "Peter", "dynamic": "dynamic"}} + + +def test_mutation_no_fields_output(): + class CreateUser(Mutation): + name = String() + + def mutate(self, info): + return CreateUser() + + class Query(ObjectType): + a = String() + + class MyMutation(ObjectType): + create_user = CreateUser.Field() + + schema = Schema(query=Query, mutation=MyMutation) + result = schema.execute( + """ mutation mymutation { + createUser { + name + } + } + """ + ) + assert not result.errors + assert result.data == {"createUser": {"name": None}} + + +def test_mutation_allow_to_have_custom_args(): + class CreateUser(Mutation): + class Arguments: + name = String() + + name = String() + + def mutate(self, info, name): + return CreateUser(name=name) + + class MyMutation(ObjectType): + create_user = CreateUser.Field( + name="createUser", + description="Create a user", + deprecation_reason="Is deprecated", + required=True, + ) + + field = MyMutation._meta.fields["create_user"] + assert field.name == "createUser" + assert field.description == "Create a user" + assert field.deprecation_reason == "Is deprecated" + assert field.type == NonNull(CreateUser) + + +def test_mutation_default_args_output(): + class CreateUser(Mutation): + """Description.""" + + class Arguments: + name = String() + + name = String() + + def mutate(self, info, name): + return CreateUser(name=name) + + class MyMutation(ObjectType): + create_user = CreateUser.Field() + + field = MyMutation._meta.fields["create_user"] + assert field.name is None + assert field.description == "Description." + assert field.deprecation_reason is None + assert field.type == CreateUser + + +def test_mutation_as_subclass(): + class BaseCreateUser(Mutation): + class Arguments: + name = String() + + name = String() + + def mutate(self, info, **args): + return args + + class CreateUserWithPlanet(BaseCreateUser): + class Arguments(BaseCreateUser.Arguments): + planet = String() + + planet = String() + + def mutate(self, info, **args): + return CreateUserWithPlanet(**args) + + class MyMutation(ObjectType): + create_user_with_planet = CreateUserWithPlanet.Field() + + class Query(ObjectType): + a = String() + + schema = Schema(query=Query, mutation=MyMutation) + result = schema.execute( + """ mutation mymutation { + createUserWithPlanet(name:"Peter", planet: "earth") { + name + planet + } + } + """ + ) + assert not result.errors + assert result.data == {"createUserWithPlanet": {"name": "Peter", "planet": "earth"}} diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_objecttype.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_objecttype.py new file mode 100644 index 0000000000000000000000000000000000000000..dece5e8b9de48a58e4525fce391430c81112d8af --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_objecttype.py @@ -0,0 +1,309 @@ +from pytest import raises + +from ..field import Field +from ..interface import Interface +from ..objecttype import ObjectType +from ..scalars import String +from ..schema import Schema +from ..structures import NonNull +from ..unmountedtype import UnmountedType + + +class MyType(Interface): + pass + + +class Container(ObjectType): + field1 = Field(MyType) + field2 = Field(MyType) + + +class MyInterface(Interface): + ifield = Field(MyType) + + +class ContainerWithInterface(ObjectType): + class Meta: + interfaces = (MyInterface,) + + field1 = Field(MyType) + field2 = Field(MyType) + + +class MyScalar(UnmountedType): + def get_type(self): + return MyType + + +def test_generate_objecttype(): + class MyObjectType(ObjectType): + """Documentation""" + + assert MyObjectType._meta.name == "MyObjectType" + assert MyObjectType._meta.description == "Documentation" + assert MyObjectType._meta.interfaces == tuple() + assert MyObjectType._meta.fields == {} + assert ( + repr(MyObjectType) + == ">" + ) + + +def test_generate_objecttype_with_meta(): + class MyObjectType(ObjectType): + class Meta: + name = "MyOtherObjectType" + description = "Documentation" + interfaces = (MyType,) + + assert MyObjectType._meta.name == "MyOtherObjectType" + assert MyObjectType._meta.description == "Documentation" + assert MyObjectType._meta.interfaces == (MyType,) + + +def test_generate_lazy_objecttype(): + class MyObjectType(ObjectType): + example = Field(lambda: InnerObjectType, required=True) + + class InnerObjectType(ObjectType): + field = Field(MyType) + + assert MyObjectType._meta.name == "MyObjectType" + example_field = MyObjectType._meta.fields["example"] + assert isinstance(example_field.type, NonNull) + assert example_field.type.of_type == InnerObjectType + + +def test_generate_objecttype_with_fields(): + class MyObjectType(ObjectType): + field = Field(MyType) + + assert "field" in MyObjectType._meta.fields + + +def test_generate_objecttype_with_private_attributes(): + class MyObjectType(ObjectType): + def __init__(self, _private_state=None, **kwargs): + self._private_state = _private_state + super().__init__(**kwargs) + + _private_state = None + + assert "_private_state" not in MyObjectType._meta.fields + assert hasattr(MyObjectType, "_private_state") + + m = MyObjectType(_private_state="custom") + assert m._private_state == "custom" + + with raises(TypeError): + MyObjectType(_other_private_state="Wrong") + + +def test_ordered_fields_in_objecttype(): + class MyObjectType(ObjectType): + b = Field(MyType) + a = Field(MyType) + field = MyScalar() + asa = Field(MyType) + + assert list(MyObjectType._meta.fields) == ["b", "a", "field", "asa"] + + +def test_generate_objecttype_inherit_abstracttype(): + class MyAbstractType: + field1 = MyScalar() + + class MyObjectType(ObjectType, MyAbstractType): + field2 = MyScalar() + + assert MyObjectType._meta.description is None + assert MyObjectType._meta.interfaces == () + assert MyObjectType._meta.name == "MyObjectType" + assert list(MyObjectType._meta.fields) == ["field1", "field2"] + assert list(map(type, MyObjectType._meta.fields.values())) == [Field, Field] + + +def test_generate_objecttype_inherit_abstracttype_reversed(): + class MyAbstractType: + field1 = MyScalar() + + class MyObjectType(MyAbstractType, ObjectType): + field2 = MyScalar() + + assert MyObjectType._meta.description is None + assert MyObjectType._meta.interfaces == () + assert MyObjectType._meta.name == "MyObjectType" + assert list(MyObjectType._meta.fields) == ["field1", "field2"] + assert list(map(type, MyObjectType._meta.fields.values())) == [Field, Field] + + +def test_generate_objecttype_unmountedtype(): + class MyObjectType(ObjectType): + field = MyScalar() + + assert "field" in MyObjectType._meta.fields + assert isinstance(MyObjectType._meta.fields["field"], Field) + + +def test_parent_container_get_fields(): + assert list(Container._meta.fields) == ["field1", "field2"] + + +def test_parent_container_interface_get_fields(): + assert list(ContainerWithInterface._meta.fields) == ["ifield", "field1", "field2"] + + +def test_objecttype_as_container_only_args(): + container = Container("1", "2") + assert container.field1 == "1" + assert container.field2 == "2" + + +def test_objecttype_repr(): + container = Container("1", "2") + assert repr(container) == "Container(field1='1', field2='2')" + + +def test_objecttype_eq(): + container1 = Container("1", "2") + container2 = Container("1", "2") + container3 = Container("2", "3") + assert container1 == container1 + assert container1 == container2 + assert container2 != container3 + + +def test_objecttype_as_container_args_kwargs(): + container = Container("1", field2="2") + assert container.field1 == "1" + assert container.field2 == "2" + + +def test_objecttype_as_container_few_kwargs(): + container = Container(field2="2") + assert container.field2 == "2" + + +def test_objecttype_as_container_all_kwargs(): + container = Container(field1="1", field2="2") + assert container.field1 == "1" + assert container.field2 == "2" + + +def test_objecttype_as_container_extra_args(): + msg = r"__init__\(\) takes from 1 to 3 positional arguments but 4 were given" + with raises(TypeError, match=msg): + Container("1", "2", "3") # type: ignore + + +def test_objecttype_as_container_invalid_kwargs(): + msg = r"__init__\(\) got an unexpected keyword argument 'unexisting_field'" + with raises(TypeError, match=msg): + Container(unexisting_field="3") # type: ignore + + +def test_objecttype_container_benchmark(benchmark): + @benchmark + def create_objecttype(): + Container(field1="field1", field2="field2") + + +def test_generate_objecttype_description(): + class MyObjectType(ObjectType): + """ + Documentation + + Documentation line 2 + """ + + assert MyObjectType._meta.description == "Documentation\n\nDocumentation line 2" + + +def test_objecttype_with_possible_types(): + class MyObjectType(ObjectType): + class Meta: + possible_types = (dict,) + + assert MyObjectType._meta.possible_types == (dict,) + + +def test_objecttype_with_possible_types_and_is_type_of_should_raise(): + with raises(AssertionError) as excinfo: + + class MyObjectType(ObjectType): + class Meta: + possible_types = (dict,) + + @classmethod + def is_type_of(cls, root, context, info): + return False + + assert str(excinfo.value) == ( + "MyObjectType.Meta.possible_types will cause type collision with " + "MyObjectType.is_type_of. Please use one or other." + ) + + +def test_objecttype_no_fields_output(): + class User(ObjectType): + name = String() + + class Query(ObjectType): + user = Field(User) + + def resolve_user(self, info): + return User() + + schema = Schema(query=Query) + result = schema.execute( + """ query basequery { + user { + name + } + } + """ + ) + assert not result.errors + assert result.data == {"user": {"name": None}} + + +def test_abstract_objecttype_can_str(): + class MyObjectType(ObjectType): + class Meta: + abstract = True + + field = MyScalar() + + assert str(MyObjectType) == "MyObjectType" + + +def test_objecttype_meta_with_annotations(): + class Query(ObjectType): + class Meta: + name: str = "oops" + + hello = String() + + def resolve_hello(self, info): + return "Hello" + + schema = Schema(query=Query) + assert schema is not None + + +def test_objecttype_meta_arguments(): + class MyInterface(Interface): + foo = String() + + class MyType(ObjectType, interfaces=[MyInterface]): + bar = String() + + assert MyType._meta.interfaces == [MyInterface] + assert list(MyType._meta.fields.keys()) == ["foo", "bar"] + + +def test_objecttype_type_name(): + class MyObjectType(ObjectType, name="FooType"): + pass + + assert MyObjectType._meta.name == "FooType" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_query.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_query.py new file mode 100644 index 0000000000000000000000000000000000000000..e117754fe81602a0609b6d556fcc4f0d7d3dcfdf --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_query.py @@ -0,0 +1,499 @@ +import json +from functools import partial + +from graphql import ( + GraphQLError, + GraphQLResolveInfo as ResolveInfo, + Source, + execute, + parse, +) + +from ..context import Context +from ..dynamic import Dynamic +from ..field import Field +from ..inputfield import InputField +from ..inputobjecttype import InputObjectType +from ..interface import Interface +from ..objecttype import ObjectType +from ..scalars import Boolean, Int, String +from ..schema import Schema +from ..structures import List, NonNull +from ..union import Union + + +def test_query(): + class Query(ObjectType): + hello = String(resolver=lambda *_: "World") + + hello_schema = Schema(Query) + + executed = hello_schema.execute("{ hello }") + assert not executed.errors + assert executed.data == {"hello": "World"} + + +def test_query_source(): + class Root: + _hello = "World" + + def hello(self): + return self._hello + + class Query(ObjectType): + hello = String(source="hello") + + hello_schema = Schema(Query) + + executed = hello_schema.execute("{ hello }", Root()) + assert not executed.errors + assert executed.data == {"hello": "World"} + + +def test_query_union(): + class one_object: + pass + + class two_object: + pass + + class One(ObjectType): + one = String() + + @classmethod + def is_type_of(cls, root, info): + return isinstance(root, one_object) + + class Two(ObjectType): + two = String() + + @classmethod + def is_type_of(cls, root, info): + return isinstance(root, two_object) + + class MyUnion(Union): + class Meta: + types = (One, Two) + + class Query(ObjectType): + unions = List(MyUnion) + + def resolve_unions(self, info): + return [one_object(), two_object()] + + hello_schema = Schema(Query) + + executed = hello_schema.execute("{ unions { __typename } }") + assert not executed.errors + assert executed.data == {"unions": [{"__typename": "One"}, {"__typename": "Two"}]} + + +def test_query_interface(): + class one_object: + pass + + class two_object: + pass + + class MyInterface(Interface): + base = String() + + class One(ObjectType): + class Meta: + interfaces = (MyInterface,) + + one = String() + + @classmethod + def is_type_of(cls, root, info): + return isinstance(root, one_object) + + class Two(ObjectType): + class Meta: + interfaces = (MyInterface,) + + two = String() + + @classmethod + def is_type_of(cls, root, info): + return isinstance(root, two_object) + + class Query(ObjectType): + interfaces = List(MyInterface) + + def resolve_interfaces(self, info): + return [one_object(), two_object()] + + hello_schema = Schema(Query, types=[One, Two]) + + executed = hello_schema.execute("{ interfaces { __typename } }") + assert not executed.errors + assert executed.data == { + "interfaces": [{"__typename": "One"}, {"__typename": "Two"}] + } + + +def test_query_dynamic(): + class Query(ObjectType): + hello = Dynamic(lambda: String(resolver=lambda *_: "World")) + hellos = Dynamic(lambda: List(String, resolver=lambda *_: ["Worlds"])) + hello_field = Dynamic(lambda: Field(String, resolver=lambda *_: "Field World")) + + hello_schema = Schema(Query) + + executed = hello_schema.execute("{ hello hellos helloField }") + assert not executed.errors + assert executed.data == { + "hello": "World", + "hellos": ["Worlds"], + "helloField": "Field World", + } + + +def test_query_default_value(): + class MyType(ObjectType): + field = String() + + class Query(ObjectType): + hello = Field(MyType, default_value=MyType(field="something else!")) + + hello_schema = Schema(Query) + + executed = hello_schema.execute("{ hello { field } }") + assert not executed.errors + assert executed.data == {"hello": {"field": "something else!"}} + + +def test_query_wrong_default_value(): + class MyType(ObjectType): + field = String() + + @classmethod + def is_type_of(cls, root, info): + return isinstance(root, MyType) + + class Query(ObjectType): + hello = Field(MyType, default_value="hello") + + hello_schema = Schema(Query) + + executed = hello_schema.execute("{ hello { field } }") + assert len(executed.errors) == 1 + assert ( + executed.errors[0].message + == GraphQLError("Expected value of type 'MyType' but got: 'hello'.").message + ) + assert executed.data == {"hello": None} + + +def test_query_default_value_ignored_by_resolver(): + class MyType(ObjectType): + field = String() + + class Query(ObjectType): + hello = Field( + MyType, + default_value="hello", + resolver=lambda *_: MyType(field="no default."), + ) + + hello_schema = Schema(Query) + + executed = hello_schema.execute("{ hello { field } }") + assert not executed.errors + assert executed.data == {"hello": {"field": "no default."}} + + +def test_query_resolve_function(): + class Query(ObjectType): + hello = String() + + def resolve_hello(self, info): + return "World" + + hello_schema = Schema(Query) + + executed = hello_schema.execute("{ hello }") + assert not executed.errors + assert executed.data == {"hello": "World"} + + +def test_query_arguments(): + class Query(ObjectType): + test = String(a_str=String(), a_int=Int()) + + def resolve_test(self, info, **args): + return json.dumps([self, args], separators=(",", ":")) + + test_schema = Schema(Query) + + result = test_schema.execute("{ test }", None) + assert not result.errors + assert result.data == {"test": "[null,{}]"} + + result = test_schema.execute('{ test(aStr: "String!") }', "Source!") + assert not result.errors + assert result.data == {"test": '["Source!",{"a_str":"String!"}]'} + + result = test_schema.execute('{ test(aInt: -123, aStr: "String!") }', "Source!") + assert not result.errors + assert result.data in [ + {"test": '["Source!",{"a_str":"String!","a_int":-123}]'}, + {"test": '["Source!",{"a_int":-123,"a_str":"String!"}]'}, + ] + + +def test_query_input_field(): + class Input(InputObjectType): + a_field = String() + recursive_field = InputField(lambda: Input) + + class Query(ObjectType): + test = String(a_input=Input()) + + def resolve_test(self, info, **args): + return json.dumps([self, args], separators=(",", ":")) + + test_schema = Schema(Query) + + result = test_schema.execute("{ test }", None) + assert not result.errors + assert result.data == {"test": "[null,{}]"} + + result = test_schema.execute('{ test(aInput: {aField: "String!"} ) }', "Source!") + assert not result.errors + assert result.data == {"test": '["Source!",{"a_input":{"a_field":"String!"}}]'} + + result = test_schema.execute( + '{ test(aInput: {recursiveField: {aField: "String!"}}) }', "Source!" + ) + assert not result.errors + assert result.data == { + "test": '["Source!",{"a_input":{"recursive_field":{"a_field":"String!"}}}]' + } + + +def test_query_middlewares(): + class Query(ObjectType): + hello = String() + other = String() + + def resolve_hello(self, info): + return "World" + + def resolve_other(self, info): + return "other" + + def reversed_middleware(next, *args, **kwargs): + return next(*args, **kwargs)[::-1] + + hello_schema = Schema(Query) + + executed = hello_schema.execute( + "{ hello, other }", middleware=[reversed_middleware] + ) + assert not executed.errors + assert executed.data == {"hello": "dlroW", "other": "rehto"} + + +def test_objecttype_on_instances(): + class Ship: + def __init__(self, name): + self.name = name + + class ShipType(ObjectType): + name = String(description="Ship name", required=True) + + def resolve_name(self, info): + # Here self will be the Ship instance returned in resolve_ship + return self.name + + class Query(ObjectType): + ship = Field(ShipType) + + def resolve_ship(self, info): + return Ship(name="xwing") + + schema = Schema(query=Query) + executed = schema.execute("{ ship { name } }") + assert not executed.errors + assert executed.data == {"ship": {"name": "xwing"}} + + +def test_big_list_query_benchmark(benchmark): + big_list = range(10000) + + class Query(ObjectType): + all_ints = List(Int) + + def resolve_all_ints(self, info): + return big_list + + hello_schema = Schema(Query) + + big_list_query = partial(hello_schema.execute, "{ allInts }") + result = benchmark(big_list_query) + assert not result.errors + assert result.data == {"allInts": list(big_list)} + + +def test_big_list_query_compiled_query_benchmark(benchmark): + big_list = range(100000) + + class Query(ObjectType): + all_ints = List(Int) + + def resolve_all_ints(self, info): + return big_list + + hello_schema = Schema(Query) + graphql_schema = hello_schema.graphql_schema + source = Source("{ allInts }") + query_ast = parse(source) + + big_list_query = partial(execute, graphql_schema, query_ast) + result = benchmark(big_list_query) + assert not result.errors + assert result.data == {"allInts": list(big_list)} + + +def test_big_list_of_containers_query_benchmark(benchmark): + class Container(ObjectType): + x = Int() + + big_container_list = [Container(x=x) for x in range(1000)] + + class Query(ObjectType): + all_containers = List(Container) + + def resolve_all_containers(self, info): + return big_container_list + + hello_schema = Schema(Query) + + big_list_query = partial(hello_schema.execute, "{ allContainers { x } }") + result = benchmark(big_list_query) + assert not result.errors + assert result.data == {"allContainers": [{"x": c.x} for c in big_container_list]} + + +def test_big_list_of_containers_multiple_fields_query_benchmark(benchmark): + class Container(ObjectType): + x = Int() + y = Int() + z = Int() + o = Int() + + big_container_list = [Container(x=x, y=x, z=x, o=x) for x in range(1000)] + + class Query(ObjectType): + all_containers = List(Container) + + def resolve_all_containers(self, info): + return big_container_list + + hello_schema = Schema(Query) + + big_list_query = partial(hello_schema.execute, "{ allContainers { x, y, z, o } }") + result = benchmark(big_list_query) + assert not result.errors + assert result.data == { + "allContainers": [ + {"x": c.x, "y": c.y, "z": c.z, "o": c.o} for c in big_container_list + ] + } + + +def test_big_list_of_containers_multiple_fields_custom_resolvers_query_benchmark( + benchmark, +): + class Container(ObjectType): + x = Int() + y = Int() + z = Int() + o = Int() + + def resolve_x(self, info): + return self.x + + def resolve_y(self, info): + return self.y + + def resolve_z(self, info): + return self.z + + def resolve_o(self, info): + return self.o + + big_container_list = [Container(x=x, y=x, z=x, o=x) for x in range(1000)] + + class Query(ObjectType): + all_containers = List(Container) + + def resolve_all_containers(self, info): + return big_container_list + + hello_schema = Schema(Query) + + big_list_query = partial(hello_schema.execute, "{ allContainers { x, y, z, o } }") + result = benchmark(big_list_query) + assert not result.errors + assert result.data == { + "allContainers": [ + {"x": c.x, "y": c.y, "z": c.z, "o": c.o} for c in big_container_list + ] + } + + +def test_query_annotated_resolvers(): + context = Context(key="context") + + class Query(ObjectType): + annotated = String(id=String()) + context = String() + info = String() + + def resolve_annotated(self, info, id): + return f"{self}-{id}" + + def resolve_context(self, info): + assert isinstance(info.context, Context) + return f"{self}-{info.context.key}" + + def resolve_info(self, info): + assert isinstance(info, ResolveInfo) + return f"{self}-{info.field_name}" + + test_schema = Schema(Query) + + result = test_schema.execute('{ annotated(id:"self") }', "base") + assert not result.errors + assert result.data == {"annotated": "base-self"} + + result = test_schema.execute("{ context }", "base", context=context) + assert not result.errors + assert result.data == {"context": "base-context"} + + result = test_schema.execute("{ info }", "base") + assert not result.errors + assert result.data == {"info": "base-info"} + + +def test_default_as_kwarg_to_NonNull(): + # Related to https://github.com/graphql-python/graphene/issues/702 + class User(ObjectType): + name = String() + is_admin = NonNull(Boolean, default_value=False) + + class Query(ObjectType): + user = Field(User) + + def resolve_user(self, *args, **kwargs): + return User(name="foo") + + schema = Schema(query=Query) + expected = {"user": {"name": "foo", "isAdmin": False}} + result = schema.execute("{ user { name isAdmin } }") + + assert not result.errors + assert result.data == expected diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_resolver.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_resolver.py new file mode 100644 index 0000000000000000000000000000000000000000..dcadb6d8d39d4c0cb6d521990c4c8ea1fe48623e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_resolver.py @@ -0,0 +1,58 @@ +from ..resolver import ( + attr_resolver, + dict_resolver, + dict_or_attr_resolver, + get_default_resolver, + set_default_resolver, +) + +args = {} +context = None +info = None + +demo_dict = {"attr": "value"} + + +class demo_obj: + attr = "value" + + +def test_attr_resolver(): + resolved = attr_resolver("attr", None, demo_obj, info, **args) + assert resolved == "value" + + +def test_attr_resolver_default_value(): + resolved = attr_resolver("attr2", "default", demo_obj, info, **args) + assert resolved == "default" + + +def test_dict_resolver(): + resolved = dict_resolver("attr", None, demo_dict, info, **args) + assert resolved == "value" + + +def test_dict_resolver_default_value(): + resolved = dict_resolver("attr2", "default", demo_dict, info, **args) + assert resolved == "default" + + +def test_dict_or_attr_resolver(): + resolved = dict_or_attr_resolver("attr", None, demo_dict, info, **args) + assert resolved == "value" + + resolved = dict_or_attr_resolver("attr", None, demo_obj, info, **args) + assert resolved == "value" + + +def test_get_default_resolver_is_attr_resolver(): + assert get_default_resolver() == dict_or_attr_resolver + + +def test_set_default_resolver_workd(): + default_resolver = get_default_resolver() + + set_default_resolver(dict_resolver) + assert get_default_resolver() == dict_resolver + + set_default_resolver(default_resolver) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_scalar.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_scalar.py new file mode 100644 index 0000000000000000000000000000000000000000..cbdfd8c5057d08199c6ecbe62264b58db0b33800 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_scalar.py @@ -0,0 +1,308 @@ +from ..objecttype import ObjectType, Field +from ..scalars import Scalar, Int, BigInt, Float, String, Boolean +from ..schema import Schema +from graphql import Undefined +from graphql.language.ast import IntValueNode + + +def test_scalar(): + class JSONScalar(Scalar): + """Documentation""" + + assert JSONScalar._meta.name == "JSONScalar" + assert JSONScalar._meta.description == "Documentation" + + +def test_ints(): + assert Int.parse_value(2**31 - 1) is not Undefined + assert Int.parse_value("2.0") == 2 + assert Int.parse_value(2**31) is Undefined + + assert Int.parse_literal(IntValueNode(value=str(2**31 - 1))) == 2**31 - 1 + assert Int.parse_literal(IntValueNode(value=str(2**31))) is Undefined + + assert Int.parse_value(-(2**31)) is not Undefined + assert Int.parse_value(-(2**31) - 1) is Undefined + + assert BigInt.parse_value(2**31) is not Undefined + assert BigInt.parse_value("2.0") == 2 + assert BigInt.parse_value(-(2**31) - 1) is not Undefined + + assert BigInt.parse_literal(IntValueNode(value=str(2**31 - 1))) == 2**31 - 1 + assert BigInt.parse_literal(IntValueNode(value=str(2**31))) == 2**31 + + +def return_input(_parent, _info, input): + return input + + +class Optional(ObjectType): + int = Int(input=Int(), resolver=return_input) + big_int = BigInt(input=BigInt(), resolver=return_input) + float = Float(input=Float(), resolver=return_input) + bool = Boolean(input=Boolean(), resolver=return_input) + string = String(input=String(), resolver=return_input) + + +class Query(ObjectType): + optional = Field(Optional) + + def resolve_optional(self, info): + return Optional() + + def resolve_required(self, info, input): + return input + + +schema = Schema(query=Query) + + +class TestInt: + def test_query(self): + """ + Test that a normal query works. + """ + result = schema.execute("{ optional { int(input: 20) } }") + assert not result.errors + assert result.data == {"optional": {"int": 20}} + + def test_optional_input(self): + """ + Test that we can provide a null value to an optional input + """ + result = schema.execute("{ optional { int(input: null) } }") + assert not result.errors + assert result.data == {"optional": {"int": None}} + + def test_invalid_input(self): + """ + Test that if an invalid type is provided we get an error + """ + result = schema.execute('{ optional { int(input: "20") } }') + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message == 'Int cannot represent non-integer value: "20"' + ) + + result = schema.execute('{ optional { int(input: "a") } }') + assert result.errors + assert len(result.errors) == 1 + assert result.errors[0].message == 'Int cannot represent non-integer value: "a"' + + result = schema.execute("{ optional { int(input: true) } }") + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message == "Int cannot represent non-integer value: true" + ) + + +class TestBigInt: + def test_query(self): + """ + Test that a normal query works. + """ + value = 2**31 + result = schema.execute("{ optional { bigInt(input: %s) } }" % value) + assert not result.errors + assert result.data == {"optional": {"bigInt": value}} + + def test_optional_input(self): + """ + Test that we can provide a null value to an optional input + """ + result = schema.execute("{ optional { bigInt(input: null) } }") + assert not result.errors + assert result.data == {"optional": {"bigInt": None}} + + def test_invalid_input(self): + """ + Test that if an invalid type is provided we get an error + """ + result = schema.execute('{ optional { bigInt(input: "20") } }') + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message == "Expected value of type 'BigInt', found \"20\"." + ) + + result = schema.execute('{ optional { bigInt(input: "a") } }') + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message == "Expected value of type 'BigInt', found \"a\"." + ) + + result = schema.execute("{ optional { bigInt(input: true) } }") + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message == "Expected value of type 'BigInt', found true." + ) + + +class TestFloat: + def test_query(self): + """ + Test that a normal query works. + """ + result = schema.execute("{ optional { float(input: 20) } }") + assert not result.errors + assert result.data == {"optional": {"float": 20.0}} + + result = schema.execute("{ optional { float(input: 20.2) } }") + assert not result.errors + assert result.data == {"optional": {"float": 20.2}} + + def test_optional_input(self): + """ + Test that we can provide a null value to an optional input + """ + result = schema.execute("{ optional { float(input: null) } }") + assert not result.errors + assert result.data == {"optional": {"float": None}} + + def test_invalid_input(self): + """ + Test that if an invalid type is provided we get an error + """ + result = schema.execute('{ optional { float(input: "20") } }') + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message == 'Float cannot represent non numeric value: "20"' + ) + + result = schema.execute('{ optional { float(input: "a") } }') + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message == 'Float cannot represent non numeric value: "a"' + ) + + result = schema.execute("{ optional { float(input: true) } }") + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message == "Float cannot represent non numeric value: true" + ) + + +class TestBoolean: + def test_query(self): + """ + Test that a normal query works. + """ + result = schema.execute("{ optional { bool(input: true) } }") + assert not result.errors + assert result.data == {"optional": {"bool": True}} + + result = schema.execute("{ optional { bool(input: false) } }") + assert not result.errors + assert result.data == {"optional": {"bool": False}} + + def test_optional_input(self): + """ + Test that we can provide a null value to an optional input + """ + result = schema.execute("{ optional { bool(input: null) } }") + assert not result.errors + assert result.data == {"optional": {"bool": None}} + + def test_invalid_input(self): + """ + Test that if an invalid type is provided we get an error + """ + result = schema.execute('{ optional { bool(input: "True") } }') + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message + == 'Boolean cannot represent a non boolean value: "True"' + ) + + result = schema.execute('{ optional { bool(input: "true") } }') + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message + == 'Boolean cannot represent a non boolean value: "true"' + ) + + result = schema.execute('{ optional { bool(input: "a") } }') + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message + == 'Boolean cannot represent a non boolean value: "a"' + ) + + result = schema.execute("{ optional { bool(input: 1) } }") + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message + == "Boolean cannot represent a non boolean value: 1" + ) + + result = schema.execute("{ optional { bool(input: 0) } }") + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message + == "Boolean cannot represent a non boolean value: 0" + ) + + +class TestString: + def test_query(self): + """ + Test that a normal query works. + """ + result = schema.execute('{ optional { string(input: "something something") } }') + assert not result.errors + assert result.data == {"optional": {"string": "something something"}} + + result = schema.execute('{ optional { string(input: "True") } }') + assert not result.errors + assert result.data == {"optional": {"string": "True"}} + + result = schema.execute('{ optional { string(input: "0") } }') + assert not result.errors + assert result.data == {"optional": {"string": "0"}} + + def test_optional_input(self): + """ + Test that we can provide a null value to an optional input + """ + result = schema.execute("{ optional { string(input: null) } }") + assert not result.errors + assert result.data == {"optional": {"string": None}} + + def test_invalid_input(self): + """ + Test that if an invalid type is provided we get an error + """ + result = schema.execute("{ optional { string(input: 1) } }") + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message == "String cannot represent a non string value: 1" + ) + + result = schema.execute("{ optional { string(input: 3.2) } }") + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message + == "String cannot represent a non string value: 3.2" + ) + + result = schema.execute("{ optional { string(input: true) } }") + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message + == "String cannot represent a non string value: true" + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_scalars_serialization.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_scalars_serialization.py new file mode 100644 index 0000000000000000000000000000000000000000..4af8a413a9fa0a593c8ec0da4ce1942e9f907079 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_scalars_serialization.py @@ -0,0 +1,51 @@ +from graphql import Undefined +from ..scalars import Boolean, Float, Int, String + + +def test_serializes_output_int(): + assert Int.serialize(1) == 1 + assert Int.serialize(0) == 0 + assert Int.serialize(-1) == -1 + assert Int.serialize(0.1) == 0 + assert Int.serialize(1.1) == 1 + assert Int.serialize(-1.1) == -1 + assert Int.serialize(1e5) == 100000 + assert Int.serialize(9876504321) is Undefined + assert Int.serialize(-9876504321) is Undefined + assert Int.serialize(1e100) is Undefined + assert Int.serialize(-1e100) is Undefined + assert Int.serialize("-1.1") == -1 + assert Int.serialize("one") is Undefined + assert Int.serialize(False) == 0 + assert Int.serialize(True) == 1 + + +def test_serializes_output_float(): + assert Float.serialize(1) == 1.0 + assert Float.serialize(0) == 0.0 + assert Float.serialize(-1) == -1.0 + assert Float.serialize(0.1) == 0.1 + assert Float.serialize(1.1) == 1.1 + assert Float.serialize(-1.1) == -1.1 + assert Float.serialize("-1.1") == -1.1 + assert Float.serialize("one") is Undefined + assert Float.serialize(False) == 0 + assert Float.serialize(True) == 1 + + +def test_serializes_output_string(): + assert String.serialize("string") == "string" + assert String.serialize(1) == "1" + assert String.serialize(-1.1) == "-1.1" + assert String.serialize(True) == "true" + assert String.serialize(False) == "false" + assert String.serialize("\U0001f601") == "\U0001f601" + + +def test_serializes_output_boolean(): + assert Boolean.serialize("string") is True + assert Boolean.serialize("") is False + assert Boolean.serialize(1) is True + assert Boolean.serialize(0) is False + assert Boolean.serialize(True) is True + assert Boolean.serialize(False) is False diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_schema.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_schema.py new file mode 100644 index 0000000000000000000000000000000000000000..c03c81ba0a4b15baa62ab7a9a286dec81cfba1ca --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_schema.py @@ -0,0 +1,74 @@ +from textwrap import dedent + +from pytest import raises + +from graphql.type import GraphQLObjectType, GraphQLSchema + +from ..field import Field +from ..objecttype import ObjectType +from ..scalars import String +from ..schema import Schema + + +class MyOtherType(ObjectType): + field = String() + + +class Query(ObjectType): + inner = Field(MyOtherType) + + +def test_schema(): + schema = Schema(Query) + graphql_schema = schema.graphql_schema + assert isinstance(graphql_schema, GraphQLSchema) + query_type = graphql_schema.query_type + assert isinstance(query_type, GraphQLObjectType) + assert query_type.name == "Query" + assert query_type.graphene_type is Query + + +def test_schema_get_type(): + schema = Schema(Query) + assert schema.Query == Query + assert schema.MyOtherType == MyOtherType + + +def test_schema_get_type_error(): + schema = Schema(Query) + with raises(AttributeError) as exc_info: + schema.X + + assert str(exc_info.value) == 'Type "X" not found in the Schema' + + +def test_schema_str(): + schema = Schema(Query) + assert ( + str(schema).strip() + == dedent( + """ + type Query { + inner: MyOtherType + } + + type MyOtherType { + field: String + } + """ + ).strip() + ) + + +def test_schema_introspect(): + schema = Schema(Query) + assert "__schema" in schema.introspect() + + +def test_schema_requires_query_type(): + schema = Schema() + result = schema.execute("query {}") + + assert len(result.errors) == 1 + error = result.errors[0] + assert error.message == "Query root type must be provided." diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_structures.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_structures.py new file mode 100644 index 0000000000000000000000000000000000000000..88f3ff1da90ed83fbfee299a5360382458665097 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_structures.py @@ -0,0 +1,129 @@ +from functools import partial + +from pytest import raises + +from ..scalars import String +from ..structures import List, NonNull +from .utils import MyLazyType + + +def test_list(): + _list = List(String) + assert _list.of_type == String + assert str(_list) == "[String]" + + +def test_list_with_unmounted_type(): + with raises(Exception) as exc_info: + List(String()) + + assert ( + str(exc_info.value) + == "List could not have a mounted String() as inner type. Try with List(String)." + ) + + +def test_list_with_lazy_type(): + MyType = object() + field = List(lambda: MyType) + assert field.of_type == MyType + + +def test_list_with_lazy_partial_type(): + MyType = object() + field = List(partial(lambda: MyType)) + assert field.of_type == MyType + + +def test_list_with_string_type(): + field = List("graphene.types.tests.utils.MyLazyType") + assert field.of_type == MyLazyType + + +def test_list_inherited_works_list(): + _list = List(List(String)) + assert isinstance(_list.of_type, List) + assert _list.of_type.of_type == String + + +def test_list_inherited_works_nonnull(): + _list = List(NonNull(String)) + assert isinstance(_list.of_type, NonNull) + assert _list.of_type.of_type == String + + +def test_nonnull(): + nonnull = NonNull(String) + assert nonnull.of_type == String + assert str(nonnull) == "String!" + + +def test_nonnull_with_lazy_type(): + MyType = object() + field = NonNull(lambda: MyType) + assert field.of_type == MyType + + +def test_nonnull_with_lazy_partial_type(): + MyType = object() + field = NonNull(partial(lambda: MyType)) + assert field.of_type == MyType + + +def test_nonnull_with_string_type(): + field = NonNull("graphene.types.tests.utils.MyLazyType") + assert field.of_type == MyLazyType + + +def test_nonnull_inherited_works_list(): + _list = NonNull(List(String)) + assert isinstance(_list.of_type, List) + assert _list.of_type.of_type == String + + +def test_nonnull_inherited_dont_work_nonnull(): + with raises(Exception) as exc_info: + NonNull(NonNull(String)) + + assert ( + str(exc_info.value) + == "Can only create NonNull of a Nullable GraphQLType but got: String!." + ) + + +def test_nonnull_with_unmounted_type(): + with raises(Exception) as exc_info: + NonNull(String()) + + assert ( + str(exc_info.value) + == "NonNull could not have a mounted String() as inner type. Try with NonNull(String)." + ) + + +def test_list_comparasion(): + list1 = List(String) + list2 = List(String) + list3 = List(None) + + list1_argskwargs = List(String, None, b=True) + list2_argskwargs = List(String, None, b=True) + + assert list1 == list2 + assert list1 != list3 + assert list1_argskwargs == list2_argskwargs + assert list1 != list1_argskwargs + + +def test_nonnull_comparasion(): + nonnull1 = NonNull(String) + nonnull2 = NonNull(String) + nonnull3 = NonNull(None) + + nonnull1_argskwargs = NonNull(String, None, b=True) + nonnull2_argskwargs = NonNull(String, None, b=True) + + assert nonnull1 == nonnull2 + assert nonnull1 != nonnull3 + assert nonnull1_argskwargs == nonnull2_argskwargs + assert nonnull1 != nonnull1_argskwargs diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_subscribe_async.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_subscribe_async.py new file mode 100644 index 0000000000000000000000000000000000000000..50e5ba68ecfb3ff00b79b16b22c52bece4dc1fa1 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_subscribe_async.py @@ -0,0 +1,78 @@ +from pytest import mark + +from graphene import ObjectType, Int, String, Schema, Field + + +class Query(ObjectType): + hello = String() + + def resolve_hello(root, info): + return "Hello, world!" + + +class Subscription(ObjectType): + count_to_ten = Field(Int) + + async def subscribe_count_to_ten(root, info): + for count in range(1, 11): + yield count + + +schema = Schema(query=Query, subscription=Subscription) + + +@mark.asyncio +async def test_subscription(): + subscription = "subscription { countToTen }" + result = await schema.subscribe(subscription) + count = 0 + async for item in result: + count = item.data["countToTen"] + assert count == 10 + + +@mark.asyncio +async def test_subscription_fails_with_invalid_query(): + # It fails if the provided query is invalid + subscription = "subscription { " + result = await schema.subscribe(subscription) + assert not result.data + assert result.errors + assert "Syntax Error: Expected Name, found " in str(result.errors[0]) + + +@mark.asyncio +async def test_subscription_fails_when_query_is_not_valid(): + # It can't subscribe to two fields at the same time, triggering a + # validation error. + subscription = "subscription { countToTen, b: countToTen }" + result = await schema.subscribe(subscription) + assert not result.data + assert result.errors + assert "Anonymous Subscription must select only one top level field." in str( + result.errors[0] + ) + + +@mark.asyncio +async def test_subscription_with_args(): + class Query(ObjectType): + hello = String() + + class Subscription(ObjectType): + count_upwards = Field(Int, limit=Int(required=True)) + + async def subscribe_count_upwards(root, info, limit): + count = 0 + while count < limit: + count += 1 + yield count + + schema = Schema(query=Query, subscription=Subscription) + + subscription = "subscription { countUpwards(limit: 5) }" + result = await schema.subscribe(subscription) + count = 0 + async for item in result: + count = item.data["countUpwards"] + assert count == 5 diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_type_map.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_type_map.py new file mode 100644 index 0000000000000000000000000000000000000000..55665b6b8888efe0b71d31653cc6aa352e329355 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_type_map.py @@ -0,0 +1,333 @@ +from graphql import Undefined +from graphql.type import ( + GraphQLArgument, + GraphQLEnumType, + GraphQLEnumValue, + GraphQLField, + GraphQLInputField, + GraphQLInputObjectType, + GraphQLInterfaceType, + GraphQLNonNull, + GraphQLObjectType, + GraphQLString, +) + +from ..dynamic import Dynamic +from ..enum import Enum +from ..field import Field +from ..inputfield import InputField +from ..inputobjecttype import InputObjectType +from ..interface import Interface +from ..objecttype import ObjectType +from ..scalars import Int, String +from ..schema import Schema +from ..structures import List, NonNull + + +def create_type_map(types, auto_camelcase=True): + query = type("Query", (ObjectType,), {}) + schema = Schema(query, types=types, auto_camelcase=auto_camelcase) + return schema.graphql_schema.type_map + + +def test_enum(): + class MyEnum(Enum): + """Description""" + + foo = 1 + bar = 2 + + @property + def description(self): + return f"Description {self.name}={self.value}" + + @property + def deprecation_reason(self): + if self == MyEnum.foo: + return "Is deprecated" + + type_map = create_type_map([MyEnum]) + assert "MyEnum" in type_map + graphql_enum = type_map["MyEnum"] + assert isinstance(graphql_enum, GraphQLEnumType) + assert graphql_enum.name == "MyEnum" + assert graphql_enum.description == "Description" + assert graphql_enum.values == { + "foo": GraphQLEnumValue( + value=1, description="Description foo=1", deprecation_reason="Is deprecated" + ), + "bar": GraphQLEnumValue(value=2, description="Description bar=2"), + } + + +def test_objecttype(): + class MyObjectType(ObjectType): + """Description""" + + foo = String( + bar=String(description="Argument description", default_value="x"), + description="Field description", + ) + bar = String(name="gizmo") + + def resolve_foo(self, bar): + return bar + + type_map = create_type_map([MyObjectType]) + assert "MyObjectType" in type_map + graphql_type = type_map["MyObjectType"] + assert isinstance(graphql_type, GraphQLObjectType) + assert graphql_type.name == "MyObjectType" + assert graphql_type.description == "Description" + + fields = graphql_type.fields + assert list(fields) == ["foo", "gizmo"] + foo_field = fields["foo"] + assert isinstance(foo_field, GraphQLField) + assert foo_field.description == "Field description" + + assert foo_field.args == { + "bar": GraphQLArgument( + GraphQLString, + description="Argument description", + default_value="x", + out_name="bar", + ) + } + + +def test_required_argument_with_default_value(): + class MyObjectType(ObjectType): + foo = String(bar=String(required=True, default_value="x")) + + type_map = create_type_map([MyObjectType]) + + graphql_type = type_map["MyObjectType"] + foo_field = graphql_type.fields["foo"] + + bar_argument = foo_field.args["bar"] + assert bar_argument.default_value == "x" + assert isinstance(bar_argument.type, GraphQLNonNull) + assert bar_argument.type.of_type == GraphQLString + + +def test_dynamic_objecttype(): + class MyObjectType(ObjectType): + """Description""" + + bar = Dynamic(lambda: Field(String)) + own = Field(lambda: MyObjectType) + + type_map = create_type_map([MyObjectType]) + assert "MyObjectType" in type_map + assert list(MyObjectType._meta.fields) == ["bar", "own"] + graphql_type = type_map["MyObjectType"] + + fields = graphql_type.fields + assert list(fields) == ["bar", "own"] + assert fields["bar"].type == GraphQLString + assert fields["own"].type == graphql_type + + +def test_interface(): + class MyInterface(Interface): + """Description""" + + foo = String( + bar=String(description="Argument description", default_value="x"), + description="Field description", + ) + bar = String(name="gizmo", first_arg=String(), other_arg=String(name="oth_arg")) + own = Field(lambda: MyInterface) + + def resolve_foo(self, args, info): + return args.get("bar") + + type_map = create_type_map([MyInterface]) + assert "MyInterface" in type_map + graphql_type = type_map["MyInterface"] + assert isinstance(graphql_type, GraphQLInterfaceType) + assert graphql_type.name == "MyInterface" + assert graphql_type.description == "Description" + + fields = graphql_type.fields + assert list(fields) == ["foo", "gizmo", "own"] + assert fields["own"].type == graphql_type + assert list(fields["gizmo"].args) == ["firstArg", "oth_arg"] + foo_field = fields["foo"] + assert isinstance(foo_field, GraphQLField) + assert foo_field.description == "Field description" + assert not foo_field.resolve # Resolver not attached in interfaces + assert foo_field.args == { + "bar": GraphQLArgument( + GraphQLString, + description="Argument description", + default_value="x", + out_name="bar", + ) + } + + +def test_inputobject(): + class OtherObjectType(InputObjectType): + thingy = NonNull(Int) + + class MyInnerObjectType(InputObjectType): + some_field = String() + some_other_field = List(OtherObjectType) + + class MyInputObjectType(InputObjectType): + """Description""" + + foo_bar = String(description="Field description") + bar = String(name="gizmo") + baz = NonNull(MyInnerObjectType) + own = InputField(lambda: MyInputObjectType) + + def resolve_foo_bar(self, args, info): + return args.get("bar") + + type_map = create_type_map([MyInputObjectType]) + assert "MyInputObjectType" in type_map + graphql_type = type_map["MyInputObjectType"] + assert isinstance(graphql_type, GraphQLInputObjectType) + assert graphql_type.name == "MyInputObjectType" + assert graphql_type.description == "Description" + + other_graphql_type = type_map["OtherObjectType"] + inner_graphql_type = type_map["MyInnerObjectType"] + container = graphql_type.out_type( + { + "bar": "oh!", + "baz": inner_graphql_type.out_type( + { + "some_other_field": [ + other_graphql_type.out_type({"thingy": 1}), + other_graphql_type.out_type({"thingy": 2}), + ] + } + ), + } + ) + assert isinstance(container, MyInputObjectType) + assert "bar" in container + assert container.bar == "oh!" + assert "foo_bar" not in container + assert container.foo_bar is None + assert container.baz.some_field is None + assert container.baz.some_other_field[0].thingy == 1 + assert container.baz.some_other_field[1].thingy == 2 + + fields = graphql_type.fields + assert list(fields) == ["fooBar", "gizmo", "baz", "own"] + own_field = fields["own"] + assert own_field.type == graphql_type + foo_field = fields["fooBar"] + assert isinstance(foo_field, GraphQLInputField) + assert foo_field.description == "Field description" + + +def test_inputobject_undefined(set_default_input_object_type_to_undefined): + class OtherObjectType(InputObjectType): + optional_field = String() + + type_map = create_type_map([OtherObjectType]) + assert "OtherObjectType" in type_map + graphql_type = type_map["OtherObjectType"] + + container = graphql_type.out_type({}) + assert container.optional_field is Undefined + + +def test_objecttype_camelcase(): + class MyObjectType(ObjectType): + """Description""" + + foo_bar = String(bar_foo=String()) + + type_map = create_type_map([MyObjectType]) + assert "MyObjectType" in type_map + graphql_type = type_map["MyObjectType"] + assert isinstance(graphql_type, GraphQLObjectType) + assert graphql_type.name == "MyObjectType" + assert graphql_type.description == "Description" + + fields = graphql_type.fields + assert list(fields) == ["fooBar"] + foo_field = fields["fooBar"] + assert isinstance(foo_field, GraphQLField) + assert foo_field.args == { + "barFoo": GraphQLArgument( + GraphQLString, default_value=Undefined, out_name="bar_foo" + ) + } + + +def test_objecttype_camelcase_disabled(): + class MyObjectType(ObjectType): + """Description""" + + foo_bar = String(bar_foo=String()) + + type_map = create_type_map([MyObjectType], auto_camelcase=False) + assert "MyObjectType" in type_map + graphql_type = type_map["MyObjectType"] + assert isinstance(graphql_type, GraphQLObjectType) + assert graphql_type.name == "MyObjectType" + assert graphql_type.description == "Description" + + fields = graphql_type.fields + assert list(fields) == ["foo_bar"] + foo_field = fields["foo_bar"] + assert isinstance(foo_field, GraphQLField) + assert foo_field.args == { + "bar_foo": GraphQLArgument( + GraphQLString, default_value=Undefined, out_name="bar_foo" + ) + } + + +def test_objecttype_with_possible_types(): + class MyObjectType(ObjectType): + """Description""" + + class Meta: + possible_types = (dict,) + + foo_bar = String() + + type_map = create_type_map([MyObjectType]) + graphql_type = type_map["MyObjectType"] + assert graphql_type.is_type_of + assert graphql_type.is_type_of({}, None) is True + assert graphql_type.is_type_of(MyObjectType(), None) is False + + +def test_interface_with_interfaces(): + class FooInterface(Interface): + foo = String() + + class BarInterface(Interface): + class Meta: + interfaces = [FooInterface] + + foo = String() + bar = String() + + type_map = create_type_map([FooInterface, BarInterface]) + assert "FooInterface" in type_map + foo_graphql_type = type_map["FooInterface"] + assert isinstance(foo_graphql_type, GraphQLInterfaceType) + assert foo_graphql_type.name == "FooInterface" + + assert "BarInterface" in type_map + bar_graphql_type = type_map["BarInterface"] + assert isinstance(bar_graphql_type, GraphQLInterfaceType) + assert bar_graphql_type.name == "BarInterface" + + fields = bar_graphql_type.fields + assert list(fields) == ["foo", "bar"] + assert isinstance(fields["foo"], GraphQLField) + assert isinstance(fields["bar"], GraphQLField) + + assert list(bar_graphql_type.interfaces) == list([foo_graphql_type]) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_union.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_union.py new file mode 100644 index 0000000000000000000000000000000000000000..4d642d6f51e5f503318da238abf1d6970ccf1175 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_union.py @@ -0,0 +1,58 @@ +from pytest import raises + +from ..field import Field +from ..objecttype import ObjectType +from ..union import Union +from ..unmountedtype import UnmountedType + + +class MyObjectType1(ObjectType): + pass + + +class MyObjectType2(ObjectType): + pass + + +def test_generate_union(): + class MyUnion(Union): + """Documentation""" + + class Meta: + types = (MyObjectType1, MyObjectType2) + + assert MyUnion._meta.name == "MyUnion" + assert MyUnion._meta.description == "Documentation" + assert MyUnion._meta.types == (MyObjectType1, MyObjectType2) + + +def test_generate_union_with_meta(): + class MyUnion(Union): + class Meta: + name = "MyOtherUnion" + description = "Documentation" + types = (MyObjectType1, MyObjectType2) + + assert MyUnion._meta.name == "MyOtherUnion" + assert MyUnion._meta.description == "Documentation" + + +def test_generate_union_with_no_types(): + with raises(Exception) as exc_info: + + class MyUnion(Union): + pass + + assert str(exc_info.value) == "Must provide types for Union MyUnion." + + +def test_union_can_be_mounted(): + class MyUnion(Union): + class Meta: + types = (MyObjectType1, MyObjectType2) + + my_union_instance = MyUnion() + assert isinstance(my_union_instance, UnmountedType) + my_union_field = my_union_instance.mount_as(Field) + assert isinstance(my_union_field, Field) + assert my_union_field.type == MyUnion diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_uuid.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_uuid.py new file mode 100644 index 0000000000000000000000000000000000000000..d031387b8033c930f185ddca4e066290fc0acb8b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/test_uuid.py @@ -0,0 +1,83 @@ +from ..objecttype import ObjectType +from ..schema import Schema +from ..uuid import UUID +from ..structures import NonNull + + +class Query(ObjectType): + uuid = UUID(input=UUID()) + required_uuid = UUID(input=NonNull(UUID), required=True) + + def resolve_uuid(self, info, input): + return input + + def resolve_required_uuid(self, info, input): + return input + + +schema = Schema(query=Query) + + +def test_uuidstring_query(): + uuid_value = "dfeb3bcf-70fd-11e7-a61a-6003088f8204" + result = schema.execute("""{ uuid(input: "%s") }""" % uuid_value) + assert not result.errors + assert result.data == {"uuid": uuid_value} + + +def test_uuidstring_query_variable(): + uuid_value = "dfeb3bcf-70fd-11e7-a61a-6003088f8204" + + result = schema.execute( + """query Test($uuid: UUID){ uuid(input: $uuid) }""", + variables={"uuid": uuid_value}, + ) + assert not result.errors + assert result.data == {"uuid": uuid_value} + + +def test_uuidstring_invalid_argument(): + uuid_value = {"not": "a string"} + + result = schema.execute( + """query Test($uuid: UUID){ uuid(input: $uuid) }""", + variables={"uuid": uuid_value}, + ) + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message + == "Variable '$uuid' got invalid value {'not': 'a string'}; UUID cannot represent value: {'not': 'a string'}" + ) + + +def test_uuidstring_optional_uuid_input(): + """ + Test that we can provide a null value to an optional input + """ + result = schema.execute("{ uuid(input: null) }") + assert not result.errors + assert result.data == {"uuid": None} + + +def test_uuidstring_invalid_query(): + """ + Test that if an invalid type is provided we get an error + """ + result = schema.execute("{ uuid(input: 1) }") + assert result.errors + assert len(result.errors) == 1 + assert result.errors[0].message == "Expected value of type 'UUID', found 1." + + result = schema.execute('{ uuid(input: "a") }') + assert result.errors + assert len(result.errors) == 1 + assert ( + result.errors[0].message + == "Expected value of type 'UUID', found \"a\"; badly formed hexadecimal UUID string" + ) + + result = schema.execute("{ requiredUuid(input: null) }") + assert result.errors + assert len(result.errors) == 1 + assert result.errors[0].message == "Expected value of type 'UUID!', found null." diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/utils.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..83cf49e2063c21ec2a7d013da37f735214db79da --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/types/tests/utils.py @@ -0,0 +1 @@ +MyLazyType = object() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/utils/__pycache__/crunch.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphene/utils/__pycache__/crunch.cpython-312.pyc 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..crunch import crunch + + +@mark.parametrize( + "description,uncrunched,crunched", + [ + ["number primitive", 0, [0]], + ["boolean primitive", True, [True]], + ["string primitive", "string", ["string"]], + ["empty array", [], [[]]], + ["single-item array", [None], [None, [0]]], + [ + "multi-primitive all distinct array", + [None, 0, True, "string"], + [None, 0, True, "string", [0, 1, 2, 3]], + ], + [ + "multi-primitive repeated array", + [True, True, True, True], + [True, [0, 0, 0, 0]], + ], + ["one-level nested array", [[1, 2, 3]], [1, 2, 3, [0, 1, 2], [3]]], + ["two-level nested array", [[[1, 2, 3]]], [1, 2, 3, [0, 1, 2], [3], [4]]], + ["empty object", {}, [{}]], + ["single-item object", {"a": None}, [None, {"a": 0}]], + [ + "multi-item all distinct object", + {"a": None, "b": 0, "c": True, "d": "string"}, + [None, 0, True, "string", {"a": 0, "b": 1, "c": 2, "d": 3}], + ], + [ + "multi-item repeated object", + {"a": True, "b": True, "c": True, "d": True}, + [True, {"a": 0, "b": 0, "c": 0, "d": 0}], + ], + [ + "complex array", + [{"a": True, "b": [1, 2, 3]}, [1, 2, 3]], + [True, 1, 2, 3, [1, 2, 3], {"a": 0, "b": 4}, [5, 4]], + ], + [ + "complex object", + {"a": True, "b": [1, 2, 3], "c": {"a": True, "b": [1, 2, 3]}}, + [True, 1, 2, 3, [1, 2, 3], {"a": 0, "b": 4}, {"a": 0, "b": 4, "c": 5}], + ], + ], +) +def test_crunch(description, uncrunched, crunched): + assert crunch(uncrunched) == crunched diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/error/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/error/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..2256c4107b9bd408cbf51480e39e4f22ba0e56f4 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/error/__pycache__/__init__.cpython-312.pyc differ diff --git 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+from itertools import chain +from typing import cast, Callable, Collection, Dict, List, Union + +from ..language import DirectiveLocation, parse_value +from ..pyutils import inspect, Undefined +from ..type import ( + GraphQLArgument, + GraphQLDirective, + GraphQLEnumType, + GraphQLEnumValue, + GraphQLField, + GraphQLInputField, + GraphQLInputObjectType, + GraphQLInputType, + GraphQLInterfaceType, + GraphQLList, + GraphQLNamedType, + GraphQLNonNull, + GraphQLObjectType, + GraphQLOutputType, + GraphQLScalarType, + GraphQLSchema, + GraphQLType, + GraphQLUnionType, + TypeKind, + assert_interface_type, + assert_nullable_type, + assert_object_type, + introspection_types, + is_input_type, + is_output_type, + specified_scalar_types, +) +from .get_introspection_query import ( + IntrospectionDirective, + IntrospectionEnumType, + IntrospectionField, + IntrospectionInterfaceType, + IntrospectionInputObjectType, + IntrospectionInputValue, + IntrospectionObjectType, + IntrospectionQuery, + IntrospectionScalarType, + IntrospectionType, + IntrospectionTypeRef, + IntrospectionUnionType, +) +from .value_from_ast import value_from_ast + +__all__ = ["build_client_schema"] + + +def build_client_schema( + introspection: IntrospectionQuery, assume_valid: bool = False +) -> GraphQLSchema: + """Build a GraphQLSchema for use by client tools. + + Given the result of a client running the introspection query, creates and returns + a GraphQLSchema instance which can be then used with all GraphQL-core 3 tools, + but cannot be used to execute a query, as introspection does not represent the + "resolver", "parse" or "serialize" functions or any other server-internal + mechanisms. + + This function expects a complete introspection result. Don't forget to check the + "errors" field of a server response before calling this function. + """ + if not isinstance(introspection, dict) or not isinstance( + introspection.get("__schema"), dict + ): + raise TypeError( + "Invalid or incomplete introspection result. Ensure that you" + " are passing the 'data' attribute of an introspection response" + f" and no 'errors' were returned alongside: {inspect(introspection)}." + ) + + # Get the schema from the introspection result. + schema_introspection = introspection["__schema"] + + # Given a type reference in introspection, return the GraphQLType instance, + # preferring cached instances before building new instances. + def get_type(type_ref: IntrospectionTypeRef) -> GraphQLType: + kind = type_ref.get("kind") + if kind == TypeKind.LIST.name: + item_ref = type_ref.get("ofType") + if not item_ref: + raise TypeError("Decorated type deeper than introspection query.") + item_ref = cast(IntrospectionTypeRef, item_ref) + return GraphQLList(get_type(item_ref)) + if kind == TypeKind.NON_NULL.name: + nullable_ref = type_ref.get("ofType") + if not nullable_ref: + raise TypeError("Decorated type deeper than introspection query.") + nullable_ref = cast(IntrospectionTypeRef, nullable_ref) + nullable_type = get_type(nullable_ref) + return GraphQLNonNull(assert_nullable_type(nullable_type)) + type_ref = cast(IntrospectionType, type_ref) + return get_named_type(type_ref) + + def get_named_type(type_ref: IntrospectionType) -> GraphQLNamedType: + type_name = type_ref.get("name") + if not type_name: + raise TypeError(f"Unknown type reference: {inspect(type_ref)}.") + + type_ = type_map.get(type_name) + if not type_: + raise TypeError( + f"Invalid or incomplete schema, unknown type: {type_name}." + " Ensure that a full introspection query is used in order" + " to build a client schema." + ) + return type_ + + def get_object_type(type_ref: IntrospectionObjectType) -> GraphQLObjectType: + return assert_object_type(get_type(type_ref)) + + def get_interface_type( + type_ref: IntrospectionInterfaceType, + ) -> GraphQLInterfaceType: + return assert_interface_type(get_type(type_ref)) + + # Given a type's introspection result, construct the correct GraphQLType instance. + def build_type(type_: IntrospectionType) -> GraphQLNamedType: + if type_ and "name" in type_ and "kind" in type_: + builder = type_builders.get(type_["kind"]) + if builder: # pragma: no cover else + return builder(type_) + raise TypeError( + "Invalid or incomplete introspection result." + " Ensure that a full introspection query is used in order" + f" to build a client schema: {inspect(type_)}." + ) + + def build_scalar_def( + scalar_introspection: IntrospectionScalarType, + ) -> GraphQLScalarType: + return GraphQLScalarType( + name=scalar_introspection["name"], + description=scalar_introspection.get("description"), + specified_by_url=scalar_introspection.get("specifiedByURL"), + ) + + def build_implementations_list( + implementing_introspection: Union[ + IntrospectionObjectType, IntrospectionInterfaceType + ], + ) -> List[GraphQLInterfaceType]: + maybe_interfaces = implementing_introspection.get("interfaces") + if maybe_interfaces is None: + # Temporary workaround until GraphQL ecosystem will fully support + # 'interfaces' on interface types + if implementing_introspection["kind"] == TypeKind.INTERFACE.name: + return [] + raise TypeError( + "Introspection result missing interfaces:" + f" {inspect(implementing_introspection)}." + ) + interfaces = cast(Collection[IntrospectionInterfaceType], maybe_interfaces) + return [get_interface_type(interface) for interface in interfaces] + + def build_object_def( + object_introspection: IntrospectionObjectType, + ) -> GraphQLObjectType: + return GraphQLObjectType( + name=object_introspection["name"], + description=object_introspection.get("description"), + interfaces=lambda: build_implementations_list(object_introspection), + fields=lambda: build_field_def_map(object_introspection), + ) + + def build_interface_def( + interface_introspection: IntrospectionInterfaceType, + ) -> GraphQLInterfaceType: + return GraphQLInterfaceType( + name=interface_introspection["name"], + description=interface_introspection.get("description"), + interfaces=lambda: build_implementations_list(interface_introspection), + fields=lambda: build_field_def_map(interface_introspection), + ) + + def build_union_def( + union_introspection: IntrospectionUnionType, + ) -> GraphQLUnionType: + maybe_possible_types = union_introspection.get("possibleTypes") + if maybe_possible_types is None: + raise TypeError( + "Introspection result missing possibleTypes:" + f" {inspect(union_introspection)}." + ) + possible_types = cast(Collection[IntrospectionObjectType], maybe_possible_types) + return GraphQLUnionType( + name=union_introspection["name"], + description=union_introspection.get("description"), + types=lambda: [get_object_type(type_) for type_ in possible_types], + ) + + def build_enum_def(enum_introspection: IntrospectionEnumType) -> GraphQLEnumType: + if enum_introspection.get("enumValues") is None: + raise TypeError( + "Introspection result missing enumValues:" + f" {inspect(enum_introspection)}." + ) + return GraphQLEnumType( + name=enum_introspection["name"], + description=enum_introspection.get("description"), + values={ + value_introspect["name"]: GraphQLEnumValue( + value=value_introspect["name"], + description=value_introspect.get("description"), + deprecation_reason=value_introspect.get("deprecationReason"), + ) + for value_introspect in enum_introspection["enumValues"] + }, + ) + + def build_input_object_def( + input_object_introspection: IntrospectionInputObjectType, + ) -> GraphQLInputObjectType: + if input_object_introspection.get("inputFields") is None: + raise TypeError( + "Introspection result missing inputFields:" + f" {inspect(input_object_introspection)}." + ) + return GraphQLInputObjectType( + name=input_object_introspection["name"], + description=input_object_introspection.get("description"), + fields=lambda: build_input_value_def_map( + input_object_introspection["inputFields"] + ), + ) + + type_builders: Dict[str, Callable[[IntrospectionType], GraphQLNamedType]] = { + TypeKind.SCALAR.name: build_scalar_def, # type: ignore + TypeKind.OBJECT.name: build_object_def, # type: ignore + TypeKind.INTERFACE.name: build_interface_def, # type: ignore + TypeKind.UNION.name: build_union_def, # type: ignore + TypeKind.ENUM.name: build_enum_def, # type: ignore + TypeKind.INPUT_OBJECT.name: build_input_object_def, # type: ignore + } + + def build_field_def_map( + type_introspection: Union[IntrospectionObjectType, IntrospectionInterfaceType], + ) -> Dict[str, GraphQLField]: + if type_introspection.get("fields") is None: + raise TypeError( + f"Introspection result missing fields: {type_introspection}." + ) + return { + field_introspection["name"]: build_field(field_introspection) + for field_introspection in type_introspection["fields"] + } + + def build_field(field_introspection: IntrospectionField) -> GraphQLField: + type_introspection = cast(IntrospectionType, field_introspection["type"]) + type_ = get_type(type_introspection) + if not is_output_type(type_): + raise TypeError( + "Introspection must provide output type for fields," + f" but received: {inspect(type_)}." + ) + type_ = cast(GraphQLOutputType, type_) + + args_introspection = field_introspection.get("args") + if args_introspection is None: + raise TypeError( + "Introspection result missing field args:" + f" {inspect(field_introspection)}." + ) + + return GraphQLField( + type_, + args=build_argument_def_map(args_introspection), + description=field_introspection.get("description"), + deprecation_reason=field_introspection.get("deprecationReason"), + ) + + def build_argument_def_map( + argument_value_introspections: Collection[IntrospectionInputValue], + ) -> Dict[str, GraphQLArgument]: + return { + argument_introspection["name"]: build_argument(argument_introspection) + for argument_introspection in argument_value_introspections + } + + def build_argument( + argument_introspection: IntrospectionInputValue, + ) -> GraphQLArgument: + type_introspection = cast(IntrospectionType, argument_introspection["type"]) + type_ = get_type(type_introspection) + if not is_input_type(type_): + raise TypeError( + "Introspection must provide input type for arguments," + f" but received: {inspect(type_)}." + ) + type_ = cast(GraphQLInputType, type_) + + default_value_introspection = argument_introspection.get("defaultValue") + default_value = ( + Undefined + if default_value_introspection is None + else value_from_ast(parse_value(default_value_introspection), type_) + ) + return GraphQLArgument( + type_, + default_value=default_value, + description=argument_introspection.get("description"), + deprecation_reason=argument_introspection.get("deprecationReason"), + ) + + def build_input_value_def_map( + input_value_introspections: Collection[IntrospectionInputValue], + ) -> Dict[str, GraphQLInputField]: + return { + input_value_introspection["name"]: build_input_value( + input_value_introspection + ) + for input_value_introspection in input_value_introspections + } + + def build_input_value( + input_value_introspection: IntrospectionInputValue, + ) -> GraphQLInputField: + type_introspection = cast(IntrospectionType, input_value_introspection["type"]) + type_ = get_type(type_introspection) + if not is_input_type(type_): + raise TypeError( + "Introspection must provide input type for input fields," + f" but received: {inspect(type_)}." + ) + type_ = cast(GraphQLInputType, type_) + + default_value_introspection = input_value_introspection.get("defaultValue") + default_value = ( + Undefined + if default_value_introspection is None + else value_from_ast(parse_value(default_value_introspection), type_) + ) + return GraphQLInputField( + type_, + default_value=default_value, + description=input_value_introspection.get("description"), + deprecation_reason=input_value_introspection.get("deprecationReason"), + ) + + def build_directive( + directive_introspection: IntrospectionDirective, + ) -> GraphQLDirective: + if directive_introspection.get("args") is None: + raise TypeError( + "Introspection result missing directive args:" + f" {inspect(directive_introspection)}." + ) + if directive_introspection.get("locations") is None: + raise TypeError( + "Introspection result missing directive locations:" + f" {inspect(directive_introspection)}." + ) + return GraphQLDirective( + name=directive_introspection["name"], + description=directive_introspection.get("description"), + is_repeatable=directive_introspection.get("isRepeatable", False), + locations=list( + cast( + Collection[DirectiveLocation], + directive_introspection.get("locations"), + ) + ), + args=build_argument_def_map(directive_introspection["args"]), + ) + + # Iterate through all types, getting the type definition for each. + type_map: Dict[str, GraphQLNamedType] = { + type_introspection["name"]: build_type(type_introspection) + for type_introspection in schema_introspection["types"] + } + + # Include standard types only if they are used. + for std_type_name, std_type in chain( + specified_scalar_types.items(), introspection_types.items() + ): + if std_type_name in type_map: + type_map[std_type_name] = std_type + + # Get the root Query, Mutation, and Subscription types. + query_type_ref = schema_introspection.get("queryType") + query_type = None if query_type_ref is None else get_object_type(query_type_ref) + mutation_type_ref = schema_introspection.get("mutationType") + mutation_type = ( + None if mutation_type_ref is None else get_object_type(mutation_type_ref) + ) + subscription_type_ref = schema_introspection.get("subscriptionType") + subscription_type = ( + None + if subscription_type_ref is None + else get_object_type(subscription_type_ref) + ) + + # Get the directives supported by Introspection, assuming empty-set if directives + # were not queried for. + directive_introspections = schema_introspection.get("directives") + directives = ( + [ + build_directive(directive_introspection) + for directive_introspection in directive_introspections + ] + if directive_introspections + else [] + ) + + # Then produce and return a Schema with these types. + return GraphQLSchema( + query=query_type, + mutation=mutation_type, + subscription=subscription_type, + types=list(type_map.values()), + directives=directives, + description=schema_introspection.get("description"), + assume_valid=assume_valid, + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/coerce_input_value.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/coerce_input_value.py new file mode 100644 index 0000000000000000000000000000000000000000..6901c892ddfc09cdc2029cf59c773d75f307d7c6 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/coerce_input_value.py @@ -0,0 +1,159 @@ +from typing import Any, Callable, Dict, List, Optional, Union, cast + + +from ..error import GraphQLError +from ..pyutils import ( + Path, + did_you_mean, + inspect, + is_iterable, + print_path_list, + suggestion_list, + Undefined, +) +from ..type import ( + GraphQLInputObjectType, + GraphQLInputType, + GraphQLList, + GraphQLScalarType, + is_leaf_type, + is_input_object_type, + is_list_type, + is_non_null_type, + GraphQLNonNull, +) + +__all__ = ["coerce_input_value"] + + +OnErrorCB = Callable[[List[Union[str, int]], Any, GraphQLError], None] + + +def default_on_error( + path: List[Union[str, int]], invalid_value: Any, error: GraphQLError +) -> None: + error_prefix = "Invalid value " + inspect(invalid_value) + if path: + error_prefix += f" at 'value{print_path_list(path)}'" + error.message = error_prefix + ": " + error.message + raise error + + +def coerce_input_value( + input_value: Any, + type_: GraphQLInputType, + on_error: OnErrorCB = default_on_error, + path: Optional[Path] = None, +) -> Any: + """Coerce a Python value given a GraphQL Input Type.""" + if is_non_null_type(type_): + if input_value is not None and input_value is not Undefined: + type_ = cast(GraphQLNonNull, type_) + return coerce_input_value(input_value, type_.of_type, on_error, path) + on_error( + path.as_list() if path else [], + input_value, + GraphQLError( + f"Expected non-nullable type '{inspect(type_)}' not to be None." + ), + ) + return Undefined + + if input_value is None or input_value is Undefined: + # Explicitly return the value null. + return None + + if is_list_type(type_): + type_ = cast(GraphQLList, type_) + item_type = type_.of_type + if is_iterable(input_value): + coerced_list: List[Any] = [] + append_item = coerced_list.append + for index, item_value in enumerate(input_value): + append_item( + coerce_input_value( + item_value, item_type, on_error, Path(path, index, None) + ) + ) + return coerced_list + # Lists accept a non-list value as a list of one. + return [coerce_input_value(input_value, item_type, on_error, path)] + + if is_input_object_type(type_): + type_ = cast(GraphQLInputObjectType, type_) + if not isinstance(input_value, dict): + on_error( + path.as_list() if path else [], + input_value, + GraphQLError(f"Expected type '{type_.name}' to be a mapping."), + ) + return Undefined + + coerced_dict: Dict[str, Any] = {} + fields = type_.fields + + for field_name, field in fields.items(): + field_value = input_value.get(field_name, Undefined) + + if field_value is Undefined: + if field.default_value is not Undefined: + # Use out name as name if it exists (extension of GraphQL.js). + coerced_dict[field.out_name or field_name] = field.default_value + elif is_non_null_type(field.type): # pragma: no cover else + type_str = inspect(field.type) + on_error( + path.as_list() if path else [], + input_value, + GraphQLError( + f"Field '{field_name}' of required type '{type_str}'" + " was not provided." + ), + ) + continue + + coerced_dict[field.out_name or field_name] = coerce_input_value( + field_value, field.type, on_error, Path(path, field_name, type_.name) + ) + + # Ensure every provided field is defined. + for field_name in input_value: + if field_name not in fields: + suggestions = suggestion_list(field_name, fields) + on_error( + path.as_list() if path else [], + input_value, + GraphQLError( + f"Field '{field_name}' is not defined by type '{type_.name}'." + + did_you_mean(suggestions) + ), + ) + return type_.out_type(coerced_dict) + + if is_leaf_type(type_): + # Scalars determine if a value is valid via `parse_value()`, which can throw to + # indicate failure. If it throws, maintain a reference to the original error. + type_ = cast(GraphQLScalarType, type_) + try: + parse_result = type_.parse_value(input_value) + except GraphQLError as error: + on_error(path.as_list() if path else [], input_value, error) + return Undefined + except Exception as error: + on_error( + path.as_list() if path else [], + input_value, + GraphQLError( + f"Expected type '{type_.name}'. {error}", original_error=error + ), + ) + return Undefined + if parse_result is Undefined: + on_error( + path.as_list() if path else [], + input_value, + GraphQLError(f"Expected type '{type_.name}'."), + ) + return parse_result + + # Not reachable. All possible input types have been considered. + raise TypeError(f"Unexpected input type: {inspect(type_)}.") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/find_breaking_changes.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/find_breaking_changes.py new file mode 100644 index 0000000000000000000000000000000000000000..290b9e2b74581c21d0e9b3a920a62079993f7f94 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/find_breaking_changes.py @@ -0,0 +1,620 @@ +from enum import Enum +from typing import Any, Collection, Dict, List, NamedTuple, Union, cast + +from ..language import print_ast +from ..pyutils import inspect, Undefined +from ..type import ( + GraphQLEnumType, + GraphQLField, + GraphQLList, + GraphQLNamedType, + GraphQLNonNull, + GraphQLInputType, + GraphQLInterfaceType, + GraphQLObjectType, + GraphQLSchema, + GraphQLType, + GraphQLUnionType, + is_enum_type, + is_input_object_type, + is_interface_type, + is_list_type, + is_named_type, + is_non_null_type, + is_object_type, + is_required_argument, + is_required_input_field, + is_scalar_type, + is_specified_scalar_type, + is_union_type, +) +from ..utilities.sort_value_node import sort_value_node +from .ast_from_value import ast_from_value + +__all__ = [ + "BreakingChange", + "BreakingChangeType", + "DangerousChange", + "DangerousChangeType", + "find_breaking_changes", + "find_dangerous_changes", +] + + +class BreakingChangeType(Enum): + TYPE_REMOVED = 10 + TYPE_CHANGED_KIND = 11 + TYPE_REMOVED_FROM_UNION = 20 + VALUE_REMOVED_FROM_ENUM = 21 + REQUIRED_INPUT_FIELD_ADDED = 22 + IMPLEMENTED_INTERFACE_REMOVED = 23 + FIELD_REMOVED = 30 + FIELD_CHANGED_KIND = 31 + REQUIRED_ARG_ADDED = 40 + ARG_REMOVED = 41 + ARG_CHANGED_KIND = 42 + DIRECTIVE_REMOVED = 50 + DIRECTIVE_ARG_REMOVED = 51 + REQUIRED_DIRECTIVE_ARG_ADDED = 52 + DIRECTIVE_REPEATABLE_REMOVED = 53 + DIRECTIVE_LOCATION_REMOVED = 54 + + +class DangerousChangeType(Enum): + VALUE_ADDED_TO_ENUM = 60 + TYPE_ADDED_TO_UNION = 61 + OPTIONAL_INPUT_FIELD_ADDED = 62 + OPTIONAL_ARG_ADDED = 63 + IMPLEMENTED_INTERFACE_ADDED = 64 + ARG_DEFAULT_VALUE_CHANGE = 65 + + +class BreakingChange(NamedTuple): + type: BreakingChangeType + description: str + + +class DangerousChange(NamedTuple): + type: DangerousChangeType + description: str + + +Change = Union[BreakingChange, DangerousChange] + + +def find_breaking_changes( + old_schema: GraphQLSchema, new_schema: GraphQLSchema +) -> List[BreakingChange]: + """Find breaking changes. + + Given two schemas, returns a list containing descriptions of all the types of + breaking changes covered by the other functions down below. + """ + return [ + change + for change in find_schema_changes(old_schema, new_schema) + if isinstance(change.type, BreakingChangeType) + ] + + +def find_dangerous_changes( + old_schema: GraphQLSchema, new_schema: GraphQLSchema +) -> List[DangerousChange]: + """Find dangerous changes. + + Given two schemas, returns a list containing descriptions of all the types of + potentially dangerous changes covered by the other functions down below. + """ + return [ + change + for change in find_schema_changes(old_schema, new_schema) + if isinstance(change.type, DangerousChangeType) + ] + + +def find_schema_changes( + old_schema: GraphQLSchema, new_schema: GraphQLSchema +) -> List[Change]: + return find_type_changes(old_schema, new_schema) + find_directive_changes( + old_schema, new_schema + ) + + +def find_directive_changes( + old_schema: GraphQLSchema, new_schema: GraphQLSchema +) -> List[Change]: + schema_changes: List[Change] = [] + + directives_diff = list_diff(old_schema.directives, new_schema.directives) + + for directive in directives_diff.removed: + schema_changes.append( + BreakingChange( + BreakingChangeType.DIRECTIVE_REMOVED, f"{directive.name} was removed." + ) + ) + + for old_directive, new_directive in directives_diff.persisted: + args_diff = dict_diff(old_directive.args, new_directive.args) + + for arg_name, new_arg in args_diff.added.items(): + if is_required_argument(new_arg): + schema_changes.append( + BreakingChange( + BreakingChangeType.REQUIRED_DIRECTIVE_ARG_ADDED, + f"A required arg {arg_name} on directive" + f" {old_directive.name} was added.", + ) + ) + + for arg_name in args_diff.removed: + schema_changes.append( + BreakingChange( + BreakingChangeType.DIRECTIVE_ARG_REMOVED, + f"{arg_name} was removed from {new_directive.name}.", + ) + ) + + if old_directive.is_repeatable and not new_directive.is_repeatable: + schema_changes.append( + BreakingChange( + BreakingChangeType.DIRECTIVE_REPEATABLE_REMOVED, + f"Repeatable flag was removed from {old_directive.name}.", + ) + ) + + for location in old_directive.locations: + if location not in new_directive.locations: + schema_changes.append( + BreakingChange( + BreakingChangeType.DIRECTIVE_LOCATION_REMOVED, + f"{location.name} was removed from {new_directive.name}.", + ) + ) + + return schema_changes + + +def find_type_changes( + old_schema: GraphQLSchema, new_schema: GraphQLSchema +) -> List[Change]: + schema_changes: List[Change] = [] + types_diff = dict_diff(old_schema.type_map, new_schema.type_map) + + for type_name, old_type in types_diff.removed.items(): + schema_changes.append( + BreakingChange( + BreakingChangeType.TYPE_REMOVED, + ( + f"Standard scalar {type_name} was removed" + " because it is not referenced anymore." + if is_specified_scalar_type(old_type) + else f"{type_name} was removed." + ), + ) + ) + + for type_name, (old_type, new_type) in types_diff.persisted.items(): + if is_enum_type(old_type) and is_enum_type(new_type): + schema_changes.extend(find_enum_type_changes(old_type, new_type)) + elif is_union_type(old_type) and is_union_type(new_type): + schema_changes.extend(find_union_type_changes(old_type, new_type)) + elif is_input_object_type(old_type) and is_input_object_type(new_type): + schema_changes.extend(find_input_object_type_changes(old_type, new_type)) + elif is_object_type(old_type) and is_object_type(new_type): + schema_changes.extend(find_field_changes(old_type, new_type)) + schema_changes.extend( + find_implemented_interfaces_changes(old_type, new_type) + ) + elif is_interface_type(old_type) and is_interface_type(new_type): + schema_changes.extend(find_field_changes(old_type, new_type)) + schema_changes.extend( + find_implemented_interfaces_changes(old_type, new_type) + ) + elif old_type.__class__ is not new_type.__class__: + schema_changes.append( + BreakingChange( + BreakingChangeType.TYPE_CHANGED_KIND, + f"{type_name} changed from {type_kind_name(old_type)}" + f" to {type_kind_name(new_type)}.", + ) + ) + + return schema_changes + + +def find_input_object_type_changes( + old_type: Union[GraphQLObjectType, GraphQLInterfaceType], + new_type: Union[GraphQLObjectType, GraphQLInterfaceType], +) -> List[Change]: + schema_changes: List[Change] = [] + fields_diff = dict_diff(old_type.fields, new_type.fields) + + for field_name, new_field in fields_diff.added.items(): + if is_required_input_field(new_field): + schema_changes.append( + BreakingChange( + BreakingChangeType.REQUIRED_INPUT_FIELD_ADDED, + f"A required field {field_name} on" + f" input type {old_type.name} was added.", + ) + ) + else: + schema_changes.append( + DangerousChange( + DangerousChangeType.OPTIONAL_INPUT_FIELD_ADDED, + f"An optional field {field_name} on" + f" input type {old_type.name} was added.", + ) + ) + + for field_name in fields_diff.removed: + schema_changes.append( + BreakingChange( + BreakingChangeType.FIELD_REMOVED, + f"{old_type.name}.{field_name} was removed.", + ) + ) + + for field_name, (old_field, new_field) in fields_diff.persisted.items(): + is_safe = is_change_safe_for_input_object_field_or_field_arg( + old_field.type, new_field.type + ) + if not is_safe: + schema_changes.append( + BreakingChange( + BreakingChangeType.FIELD_CHANGED_KIND, + f"{old_type.name}.{field_name} changed type" + f" from {old_field.type} to {new_field.type}.", + ) + ) + + return schema_changes + + +def find_union_type_changes( + old_type: GraphQLUnionType, new_type: GraphQLUnionType +) -> List[Change]: + schema_changes: List[Change] = [] + possible_types_diff = list_diff(old_type.types, new_type.types) + + for possible_type in possible_types_diff.added: + schema_changes.append( + DangerousChange( + DangerousChangeType.TYPE_ADDED_TO_UNION, + f"{possible_type.name} was added" f" to union type {old_type.name}.", + ) + ) + + for possible_type in possible_types_diff.removed: + schema_changes.append( + BreakingChange( + BreakingChangeType.TYPE_REMOVED_FROM_UNION, + f"{possible_type.name} was removed from union type {old_type.name}.", + ) + ) + + return schema_changes + + +def find_enum_type_changes( + old_type: GraphQLEnumType, new_type: GraphQLEnumType +) -> List[Change]: + schema_changes: List[Change] = [] + values_diff = dict_diff(old_type.values, new_type.values) + + for value_name in values_diff.added: + schema_changes.append( + DangerousChange( + DangerousChangeType.VALUE_ADDED_TO_ENUM, + f"{value_name} was added to enum type {old_type.name}.", + ) + ) + + for value_name in values_diff.removed: + schema_changes.append( + BreakingChange( + BreakingChangeType.VALUE_REMOVED_FROM_ENUM, + f"{value_name} was removed from enum type {old_type.name}.", + ) + ) + + return schema_changes + + +def find_implemented_interfaces_changes( + old_type: Union[GraphQLObjectType, GraphQLInterfaceType], + new_type: Union[GraphQLObjectType, GraphQLInterfaceType], +) -> List[Change]: + schema_changes: List[Change] = [] + interfaces_diff = list_diff(old_type.interfaces, new_type.interfaces) + + for interface in interfaces_diff.added: + schema_changes.append( + DangerousChange( + DangerousChangeType.IMPLEMENTED_INTERFACE_ADDED, + f"{interface.name} added to interfaces implemented by {old_type.name}.", + ) + ) + + for interface in interfaces_diff.removed: + schema_changes.append( + BreakingChange( + BreakingChangeType.IMPLEMENTED_INTERFACE_REMOVED, + f"{old_type.name} no longer implements interface {interface.name}.", + ) + ) + + return schema_changes + + +def find_field_changes( + old_type: Union[GraphQLObjectType, GraphQLInterfaceType], + new_type: Union[GraphQLObjectType, GraphQLInterfaceType], +) -> List[Change]: + schema_changes: List[Change] = [] + fields_diff = dict_diff(old_type.fields, new_type.fields) + + for field_name in fields_diff.removed: + schema_changes.append( + BreakingChange( + BreakingChangeType.FIELD_REMOVED, + f"{old_type.name}.{field_name} was removed.", + ) + ) + + for field_name, (old_field, new_field) in fields_diff.persisted.items(): + schema_changes.extend( + find_arg_changes(old_type, field_name, old_field, new_field) + ) + is_safe = is_change_safe_for_object_or_interface_field( + old_field.type, new_field.type + ) + if not is_safe: + schema_changes.append( + BreakingChange( + BreakingChangeType.FIELD_CHANGED_KIND, + f"{old_type.name}.{field_name} changed type" + f" from {old_field.type} to {new_field.type}.", + ) + ) + + return schema_changes + + +def find_arg_changes( + old_type: Union[GraphQLObjectType, GraphQLInterfaceType], + field_name: str, + old_field: GraphQLField, + new_field: GraphQLField, +) -> List[Change]: + schema_changes: List[Change] = [] + args_diff = dict_diff(old_field.args, new_field.args) + + for arg_name in args_diff.removed: + schema_changes.append( + BreakingChange( + BreakingChangeType.ARG_REMOVED, + f"{old_type.name}.{field_name} arg" f" {arg_name} was removed.", + ) + ) + + for arg_name, (old_arg, new_arg) in args_diff.persisted.items(): + is_safe = is_change_safe_for_input_object_field_or_field_arg( + old_arg.type, new_arg.type + ) + if not is_safe: + schema_changes.append( + BreakingChange( + BreakingChangeType.ARG_CHANGED_KIND, + f"{old_type.name}.{field_name} arg" + f" {arg_name} has changed type from" + f" {old_arg.type} to {new_arg.type}.", + ) + ) + elif old_arg.default_value is not Undefined: + if new_arg.default_value is Undefined: + schema_changes.append( + DangerousChange( + DangerousChangeType.ARG_DEFAULT_VALUE_CHANGE, + f"{old_type.name}.{field_name} arg" + f" {arg_name} defaultValue was removed.", + ) + ) + else: + # Since we are looking only for client's observable changes we should + # compare default values in the same representation as they are + # represented inside introspection. + old_value_str = stringify_value(old_arg.default_value, old_arg.type) + new_value_str = stringify_value(new_arg.default_value, new_arg.type) + + if old_value_str != new_value_str: + schema_changes.append( + DangerousChange( + DangerousChangeType.ARG_DEFAULT_VALUE_CHANGE, + f"{old_type.name}.{field_name} arg" + f" {arg_name} has changed defaultValue" + f" from {old_value_str} to {new_value_str}.", + ) + ) + + for arg_name, new_arg in args_diff.added.items(): + if is_required_argument(new_arg): + schema_changes.append( + BreakingChange( + BreakingChangeType.REQUIRED_ARG_ADDED, + f"A required arg {arg_name} on" + f" {old_type.name}.{field_name} was added.", + ) + ) + else: + schema_changes.append( + DangerousChange( + DangerousChangeType.OPTIONAL_ARG_ADDED, + f"An optional arg {arg_name} on" + f" {old_type.name}.{field_name} was added.", + ) + ) + + return schema_changes + + +def is_change_safe_for_object_or_interface_field( + old_type: GraphQLType, new_type: GraphQLType +) -> bool: + if is_list_type(old_type): + return ( + # if they're both lists, make sure underlying types are compatible + is_list_type(new_type) + and is_change_safe_for_object_or_interface_field( + cast(GraphQLList, old_type).of_type, cast(GraphQLList, new_type).of_type + ) + ) or ( + # moving from nullable to non-null of same underlying type is safe + is_non_null_type(new_type) + and is_change_safe_for_object_or_interface_field( + old_type, cast(GraphQLNonNull, new_type).of_type + ) + ) + + if is_non_null_type(old_type): + # if they're both non-null, make sure underlying types are compatible + return is_non_null_type( + new_type + ) and is_change_safe_for_object_or_interface_field( + cast(GraphQLNonNull, old_type).of_type, + cast(GraphQLNonNull, new_type).of_type, + ) + + return ( + # if they're both named types, see if their names are equivalent + is_named_type(new_type) + and cast(GraphQLNamedType, old_type).name + == cast(GraphQLNamedType, new_type).name + ) or ( + # moving from nullable to non-null of same underlying type is safe + is_non_null_type(new_type) + and is_change_safe_for_object_or_interface_field( + old_type, cast(GraphQLNonNull, new_type).of_type + ) + ) + + +def is_change_safe_for_input_object_field_or_field_arg( + old_type: GraphQLType, new_type: GraphQLType +) -> bool: + if is_list_type(old_type): + + return is_list_type( + # if they're both lists, make sure underlying types are compatible + new_type + ) and is_change_safe_for_input_object_field_or_field_arg( + cast(GraphQLList, old_type).of_type, cast(GraphQLList, new_type).of_type + ) + + if is_non_null_type(old_type): + return ( + # if they're both non-null, make sure the underlying types are compatible + is_non_null_type(new_type) + and is_change_safe_for_input_object_field_or_field_arg( + cast(GraphQLNonNull, old_type).of_type, + cast(GraphQLNonNull, new_type).of_type, + ) + ) or ( + # moving from non-null to nullable of same underlying type is safe + not is_non_null_type(new_type) + and is_change_safe_for_input_object_field_or_field_arg( + cast(GraphQLNonNull, old_type).of_type, new_type + ) + ) + + return ( + # if they're both named types, see if their names are equivalent + is_named_type(new_type) + and cast(GraphQLNamedType, old_type).name + == cast(GraphQLNamedType, new_type).name + ) + + +def type_kind_name(type_: GraphQLNamedType) -> str: + if is_scalar_type(type_): + return "a Scalar type" + if is_object_type(type_): + return "an Object type" + if is_interface_type(type_): + return "an Interface type" + if is_union_type(type_): + return "a Union type" + if is_enum_type(type_): + return "an Enum type" + if is_input_object_type(type_): + return "an Input type" + + # Not reachable. All possible output types have been considered. + raise TypeError(f"Unexpected type {inspect(type)}") + + +def stringify_value(value: Any, type_: GraphQLInputType) -> str: + ast = ast_from_value(value, type_) + if ast is None: # pragma: no cover + raise TypeError(f"Invalid value: {inspect(value)}") + return print_ast(sort_value_node(ast)) + + +class ListDiff(NamedTuple): + """Tuple with added, removed and persisted list items.""" + + added: List + removed: List + persisted: List + + +def list_diff(old_list: Collection, new_list: Collection) -> ListDiff: + """Get differences between two lists of named items.""" + added = [] + persisted = [] + removed = [] + + old_set = {item.name for item in old_list} + new_map = {item.name: item for item in new_list} + + for old_item in old_list: + new_item = new_map.get(old_item.name) + if new_item: + persisted.append([old_item, new_item]) + else: + removed.append(old_item) + + for new_item in new_list: + if new_item.name not in old_set: + added.append(new_item) + + return ListDiff(added, removed, persisted) + + +class DictDiff(NamedTuple): + """Tuple with added, removed and persisted dict entries.""" + + added: Dict + removed: Dict + persisted: Dict + + +def dict_diff(old_dict: Dict, new_dict: Dict) -> DictDiff: + """Get differences between two dicts.""" + added = {} + removed = {} + persisted = {} + + for old_name, old_item in old_dict.items(): + new_item = new_dict.get(old_name) + if new_item: + persisted[old_name] = [old_item, new_item] + else: + removed[old_name] = old_item + + for new_name, new_item in new_dict.items(): + if new_name not in old_dict: + added[new_name] = new_item + + return DictDiff(added, removed, persisted) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/get_introspection_query.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/get_introspection_query.py new file mode 100644 index 0000000000000000000000000000000000000000..d5531a256dd3c1f172f11024debf027d4867ad2b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/get_introspection_query.py @@ -0,0 +1,298 @@ +from textwrap import dedent +from typing import Any, Dict, List, Optional, Union + +from ..language import DirectiveLocation + +try: + from typing import Literal, TypedDict +except ImportError: # Python < 3.8 + from typing_extensions import Literal, TypedDict # type: ignore + +__all__ = [ + "get_introspection_query", + "IntrospectionDirective", + "IntrospectionEnumType", + "IntrospectionField", + "IntrospectionInputObjectType", + "IntrospectionInputValue", + "IntrospectionInterfaceType", + "IntrospectionListType", + "IntrospectionNonNullType", + "IntrospectionObjectType", + "IntrospectionQuery", + "IntrospectionScalarType", + "IntrospectionSchema", + "IntrospectionType", + "IntrospectionTypeRef", + "IntrospectionUnionType", +] + + +def get_introspection_query( + descriptions: bool = True, + specified_by_url: bool = False, + directive_is_repeatable: bool = False, + schema_description: bool = False, + input_value_deprecation: bool = False, +) -> str: + """Get a query for introspection. + + Optionally, you can exclude descriptions, include specification URLs, + include repeatability of directives, and specify whether to include + the schema description as well. + """ + maybe_description = "description" if descriptions else "" + maybe_specified_by_url = "specifiedByURL" if specified_by_url else "" + maybe_directive_is_repeatable = "isRepeatable" if directive_is_repeatable else "" + maybe_schema_description = maybe_description if schema_description else "" + + def input_deprecation(string: str) -> Optional[str]: + return string if input_value_deprecation else "" + + return dedent( + f""" + query IntrospectionQuery {{ + __schema {{ + {maybe_schema_description} + queryType {{ name }} + mutationType {{ name }} + subscriptionType {{ name }} + types {{ + ...FullType + }} + directives {{ + name + {maybe_description} + {maybe_directive_is_repeatable} + locations + args{input_deprecation("(includeDeprecated: true)")} {{ + ...InputValue + }} + }} + }} + }} + + fragment FullType on __Type {{ + kind + name + {maybe_description} + {maybe_specified_by_url} + fields(includeDeprecated: true) {{ + name + {maybe_description} + args{input_deprecation("(includeDeprecated: true)")} {{ + ...InputValue + }} + type {{ + ...TypeRef + }} + isDeprecated + deprecationReason + }} + inputFields{input_deprecation("(includeDeprecated: true)")} {{ + ...InputValue + }} + interfaces {{ + ...TypeRef + }} + enumValues(includeDeprecated: true) {{ + name + {maybe_description} + isDeprecated + deprecationReason + }} + possibleTypes {{ + ...TypeRef + }} + }} + + fragment InputValue on __InputValue {{ + name + {maybe_description} + type {{ ...TypeRef }} + defaultValue + {input_deprecation("isDeprecated")} + {input_deprecation("deprecationReason")} + }} + + fragment TypeRef on __Type {{ + kind + name + ofType {{ + kind + name + ofType {{ + kind + name + ofType {{ + kind + name + ofType {{ + kind + name + ofType {{ + kind + name + ofType {{ + kind + name + ofType {{ + kind + name + ofType {{ + kind + name + ofType {{ + kind + name + }} + }} + }} + }} + }} + }} + }} + }} + }} + }} + """ + ) + + +# Unfortunately, the following type definitions are a bit simplistic +# because of current restrictions in the typing system (mypy): +# - no recursion, see https://github.com/python/mypy/issues/731 +# - no generic typed dicts, see https://github.com/python/mypy/issues/3863 + +# simplified IntrospectionNamedType to avoids cycles +SimpleIntrospectionType = Dict[str, Any] + + +class MaybeWithDescription(TypedDict, total=False): + description: Optional[str] + + +class WithName(MaybeWithDescription): + name: str + + +class MaybeWithSpecifiedByUrl(TypedDict, total=False): + specifiedByURL: Optional[str] + + +class WithDeprecated(TypedDict): + isDeprecated: bool + deprecationReason: Optional[str] + + +class MaybeWithDeprecated(TypedDict, total=False): + isDeprecated: bool + deprecationReason: Optional[str] + + +class IntrospectionInputValue(WithName, MaybeWithDeprecated): + type: SimpleIntrospectionType # should be IntrospectionInputType + defaultValue: Optional[str] + + +class IntrospectionField(WithName, WithDeprecated): + args: List[IntrospectionInputValue] + type: SimpleIntrospectionType # should be IntrospectionOutputType + + +class IntrospectionEnumValue(WithName, WithDeprecated): + pass + + +class MaybeWithIsRepeatable(TypedDict, total=False): + isRepeatable: bool + + +class IntrospectionDirective(WithName, MaybeWithIsRepeatable): + locations: List[DirectiveLocation] + args: List[IntrospectionInputValue] + + +class IntrospectionScalarType(WithName, MaybeWithSpecifiedByUrl): + kind: Literal["scalar"] + + +class IntrospectionInterfaceType(WithName): + kind: Literal["interface"] + fields: List[IntrospectionField] + interfaces: List[SimpleIntrospectionType] # should be InterfaceType + possibleTypes: List[SimpleIntrospectionType] # should be NamedType + + +class IntrospectionObjectType(WithName): + kind: Literal["object"] + fields: List[IntrospectionField] + interfaces: List[SimpleIntrospectionType] # should be InterfaceType + + +class IntrospectionUnionType(WithName): + kind: Literal["union"] + possibleTypes: List[SimpleIntrospectionType] # should be NamedType + + +class IntrospectionEnumType(WithName): + kind: Literal["enum"] + enumValues: List[IntrospectionEnumValue] + + +class IntrospectionInputObjectType(WithName): + kind: Literal["input_object"] + inputFields: List[IntrospectionInputValue] + + +IntrospectionType = Union[ + IntrospectionScalarType, + IntrospectionObjectType, + IntrospectionInterfaceType, + IntrospectionUnionType, + IntrospectionEnumType, + IntrospectionInputObjectType, +] + + +IntrospectionOutputType = Union[ + IntrospectionScalarType, + IntrospectionObjectType, + IntrospectionInterfaceType, + IntrospectionUnionType, + IntrospectionEnumType, +] + + +IntrospectionInputType = Union[ + IntrospectionScalarType, IntrospectionEnumType, IntrospectionInputObjectType +] + + +class IntrospectionListType(TypedDict): + kind: Literal["list"] + ofType: SimpleIntrospectionType # should be IntrospectionType + + +class IntrospectionNonNullType(TypedDict): + kind: Literal["non_null"] + ofType: SimpleIntrospectionType # should be IntrospectionType + + +IntrospectionTypeRef = Union[ + IntrospectionType, IntrospectionListType, IntrospectionNonNullType +] + + +class IntrospectionSchema(MaybeWithDescription): + queryType: IntrospectionObjectType + mutationType: Optional[IntrospectionObjectType] + subscriptionType: Optional[IntrospectionObjectType] + types: List[IntrospectionType] + directives: List[IntrospectionDirective] + + +class IntrospectionQuery(TypedDict): + """The root typed dictionary for schema introspections.""" + + __schema: IntrospectionSchema diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/get_operation_ast.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/get_operation_ast.py new file mode 100644 index 0000000000000000000000000000000000000000..b7d793173efb42e7fe50d68229f5f08ecbbb3d1d --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/get_operation_ast.py @@ -0,0 +1,29 @@ +from typing import Optional + +from ..language import DocumentNode, OperationDefinitionNode + +__all__ = ["get_operation_ast"] + + +def get_operation_ast( + document_ast: DocumentNode, operation_name: Optional[str] = None +) -> Optional[OperationDefinitionNode]: + """Get operation AST node. + + Returns an operation AST given a document AST and optionally an operation + name. If a name is not provided, an operation is only returned if only one + is provided in the document. + """ + operation = None + for definition in document_ast.definitions: + if isinstance(definition, OperationDefinitionNode): + if operation_name is None: + # If no operation name was provided, only return an Operation if there + # is one defined in the document. + # Upon encountering the second, return None. + if operation: + return None + operation = definition + elif definition.name and definition.name.value == operation_name: + return definition + return operation diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/get_operation_root_type.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/get_operation_root_type.py new file mode 100644 index 0000000000000000000000000000000000000000..be0e5e6ec0a8c654ea9868cebe93cfcb9d19d0e3 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/get_operation_root_type.py @@ -0,0 +1,46 @@ +from typing import Union + +from ..error import GraphQLError +from ..language import ( + OperationType, + OperationDefinitionNode, + OperationTypeDefinitionNode, +) +from ..type import GraphQLObjectType, GraphQLSchema + +__all__ = ["get_operation_root_type"] + + +def get_operation_root_type( + schema: GraphQLSchema, + operation: Union[OperationDefinitionNode, OperationTypeDefinitionNode], +) -> GraphQLObjectType: + """Extract the root type of the operation from the schema. + + .. deprecated:: 3.2 + Please use `GraphQLSchema.getRootType` instead. Will be removed in v3.3. + """ + operation_type = operation.operation + if operation_type == OperationType.QUERY: + query_type = schema.query_type + if not query_type: + raise GraphQLError( + "Schema does not define the required query root type.", operation + ) + return query_type + + if operation_type == OperationType.MUTATION: + mutation_type = schema.mutation_type + if not mutation_type: + raise GraphQLError("Schema is not configured for mutations.", operation) + return mutation_type + + if operation_type == OperationType.SUBSCRIPTION: + subscription_type = schema.subscription_type + if not subscription_type: + raise GraphQLError("Schema is not configured for subscriptions.", operation) + return subscription_type + + raise GraphQLError( + "Can only have query, mutation and subscription operations.", operation + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/introspection_from_schema.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/introspection_from_schema.py new file mode 100644 index 0000000000000000000000000000000000000000..e0634860077d50a971049df713e99d55d8e0eb7b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/introspection_from_schema.py @@ -0,0 +1,46 @@ +from typing import cast + +from ..error import GraphQLError +from ..language import parse +from ..type import GraphQLSchema +from .get_introspection_query import get_introspection_query, IntrospectionQuery + +__all__ = ["introspection_from_schema"] + + +def introspection_from_schema( + schema: GraphQLSchema, + descriptions: bool = True, + specified_by_url: bool = True, + directive_is_repeatable: bool = True, + schema_description: bool = True, + input_value_deprecation: bool = True, +) -> IntrospectionQuery: + """Build an IntrospectionQuery from a GraphQLSchema + + IntrospectionQuery is useful for utilities that care about type and field + relationships, but do not need to traverse through those relationships. + + This is the inverse of build_client_schema. The primary use case is outside of the + server context, for instance when doing schema comparisons. + """ + document = parse( + get_introspection_query( + descriptions, + specified_by_url, + directive_is_repeatable, + schema_description, + input_value_deprecation, + ) + ) + + from ..execution.execute import execute_sync, ExecutionResult + + result = execute_sync(schema, document) + if not isinstance(result, ExecutionResult): # pragma: no cover + raise RuntimeError("Introspection cannot be executed") + if result.errors: # pragma: no cover + raise result.errors[0] + if not result.data: # pragma: no cover + raise GraphQLError("Introspection did not return a result") + return cast(IntrospectionQuery, result.data) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/lexicographic_sort_schema.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/lexicographic_sort_schema.py new file mode 100644 index 0000000000000000000000000000000000000000..de6326cbffcf72709c32da075fdfc77687412385 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/lexicographic_sort_schema.py @@ -0,0 +1,189 @@ +from typing import Collection, Dict, Optional, Tuple, Union, cast + +from ..language import DirectiveLocation +from ..pyutils import inspect, merge_kwargs, natural_comparison_key +from ..type import ( + GraphQLArgument, + GraphQLDirective, + GraphQLEnumType, + GraphQLEnumValue, + GraphQLField, + GraphQLInputField, + GraphQLInputObjectType, + GraphQLInputType, + GraphQLInterfaceType, + GraphQLList, + GraphQLNamedType, + GraphQLNonNull, + GraphQLObjectType, + GraphQLSchema, + GraphQLUnionType, + is_enum_type, + is_input_object_type, + is_interface_type, + is_introspection_type, + is_list_type, + is_non_null_type, + is_object_type, + is_scalar_type, + is_union_type, +) + +__all__ = ["lexicographic_sort_schema"] + + +def lexicographic_sort_schema(schema: GraphQLSchema) -> GraphQLSchema: + """Sort GraphQLSchema. + + This function returns a sorted copy of the given GraphQLSchema. + """ + + def replace_type( + type_: Union[GraphQLList, GraphQLNonNull, GraphQLNamedType] + ) -> Union[GraphQLList, GraphQLNonNull, GraphQLNamedType]: + if is_list_type(type_): + return GraphQLList(replace_type(cast(GraphQLList, type_).of_type)) + if is_non_null_type(type_): + return GraphQLNonNull(replace_type(cast(GraphQLNonNull, type_).of_type)) + return replace_named_type(cast(GraphQLNamedType, type_)) + + def replace_named_type(type_: GraphQLNamedType) -> GraphQLNamedType: + return type_map[type_.name] + + def replace_maybe_type( + maybe_type: Optional[GraphQLNamedType], + ) -> Optional[GraphQLNamedType]: + return maybe_type and replace_named_type(maybe_type) + + def sort_directive(directive: GraphQLDirective) -> GraphQLDirective: + return GraphQLDirective( + **merge_kwargs( + directive.to_kwargs(), + locations=sorted(directive.locations, key=sort_by_name_key), + args=sort_args(directive.args), + ) + ) + + def sort_args(args_map: Dict[str, GraphQLArgument]) -> Dict[str, GraphQLArgument]: + args = {} + for name, arg in sorted(args_map.items()): + args[name] = GraphQLArgument( + **merge_kwargs( + arg.to_kwargs(), + type_=replace_type(cast(GraphQLNamedType, arg.type)), + ) + ) + return args + + def sort_fields(fields_map: Dict[str, GraphQLField]) -> Dict[str, GraphQLField]: + fields = {} + for name, field in sorted(fields_map.items()): + fields[name] = GraphQLField( + **merge_kwargs( + field.to_kwargs(), + type_=replace_type(cast(GraphQLNamedType, field.type)), + args=sort_args(field.args), + ) + ) + return fields + + def sort_input_fields( + fields_map: Dict[str, GraphQLInputField] + ) -> Dict[str, GraphQLInputField]: + return { + name: GraphQLInputField( + cast( + GraphQLInputType, replace_type(cast(GraphQLNamedType, field.type)) + ), + description=field.description, + default_value=field.default_value, + ast_node=field.ast_node, + ) + for name, field in sorted(fields_map.items()) + } + + def sort_types(array: Collection[GraphQLNamedType]) -> Tuple[GraphQLNamedType, ...]: + return tuple( + replace_named_type(type_) for type_ in sorted(array, key=sort_by_name_key) + ) + + def sort_named_type(type_: GraphQLNamedType) -> GraphQLNamedType: + if is_scalar_type(type_) or is_introspection_type(type_): + return type_ + if is_object_type(type_): + type_ = cast(GraphQLObjectType, type_) + return GraphQLObjectType( + **merge_kwargs( + type_.to_kwargs(), + interfaces=lambda: sort_types(type_.interfaces), + fields=lambda: sort_fields(type_.fields), + ) + ) + if is_interface_type(type_): + type_ = cast(GraphQLInterfaceType, type_) + return GraphQLInterfaceType( + **merge_kwargs( + type_.to_kwargs(), + interfaces=lambda: sort_types(type_.interfaces), + fields=lambda: sort_fields(type_.fields), + ) + ) + if is_union_type(type_): + type_ = cast(GraphQLUnionType, type_) + return GraphQLUnionType( + **merge_kwargs(type_.to_kwargs(), types=lambda: sort_types(type_.types)) + ) + if is_enum_type(type_): + type_ = cast(GraphQLEnumType, type_) + return GraphQLEnumType( + **merge_kwargs( + type_.to_kwargs(), + values={ + name: GraphQLEnumValue( + val.value, + description=val.description, + deprecation_reason=val.deprecation_reason, + ast_node=val.ast_node, + ) + for name, val in sorted(type_.values.items()) + }, + ) + ) + if is_input_object_type(type_): + type_ = cast(GraphQLInputObjectType, type_) + return GraphQLInputObjectType( + **merge_kwargs( + type_.to_kwargs(), + fields=lambda: sort_input_fields(type_.fields), + ) + ) + + # Not reachable. All possible types have been considered. + raise TypeError(f"Unexpected type: {inspect(type_)}.") + + type_map: Dict[str, GraphQLNamedType] = { + type_.name: sort_named_type(type_) + for type_ in sorted(schema.type_map.values(), key=sort_by_name_key) + } + + return GraphQLSchema( + types=type_map.values(), + directives=[ + sort_directive(directive) + for directive in sorted(schema.directives, key=sort_by_name_key) + ], + query=cast(Optional[GraphQLObjectType], replace_maybe_type(schema.query_type)), + mutation=cast( + Optional[GraphQLObjectType], replace_maybe_type(schema.mutation_type) + ), + subscription=cast( + Optional[GraphQLObjectType], replace_maybe_type(schema.subscription_type) + ), + ast_node=schema.ast_node, + ) + + +def sort_by_name_key( + type_: Union[GraphQLNamedType, GraphQLDirective, DirectiveLocation] +) -> Tuple: + return natural_comparison_key(type_.name) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/print_schema.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/print_schema.py new file mode 100644 index 0000000000000000000000000000000000000000..55a6a58a23aae038e3a59dd093fe5b75b9623bb7 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/print_schema.py @@ -0,0 +1,298 @@ +from typing import Any, Callable, Dict, List, Optional, Union, cast + +from ..language import print_ast, StringValueNode +from ..language.block_string import is_printable_as_block_string +from ..pyutils import inspect +from ..type import ( + DEFAULT_DEPRECATION_REASON, + GraphQLArgument, + GraphQLDirective, + GraphQLEnumType, + GraphQLEnumValue, + GraphQLInputObjectType, + GraphQLInputType, + GraphQLInterfaceType, + GraphQLNamedType, + GraphQLObjectType, + GraphQLScalarType, + GraphQLSchema, + GraphQLUnionType, + is_enum_type, + is_input_object_type, + is_interface_type, + is_introspection_type, + is_object_type, + is_scalar_type, + is_specified_directive, + is_specified_scalar_type, + is_union_type, +) +from .ast_from_value import ast_from_value + +__all__ = ["print_schema", "print_introspection_schema", "print_type", "print_value"] + + +def print_schema(schema: GraphQLSchema) -> str: + return print_filtered_schema( + schema, lambda n: not is_specified_directive(n), is_defined_type + ) + + +def print_introspection_schema(schema: GraphQLSchema) -> str: + return print_filtered_schema(schema, is_specified_directive, is_introspection_type) + + +def is_defined_type(type_: GraphQLNamedType) -> bool: + return not is_specified_scalar_type(type_) and not is_introspection_type(type_) + + +def print_filtered_schema( + schema: GraphQLSchema, + directive_filter: Callable[[GraphQLDirective], bool], + type_filter: Callable[[GraphQLNamedType], bool], +) -> str: + directives = filter(directive_filter, schema.directives) + types = filter(type_filter, schema.type_map.values()) + + return "\n\n".join( + ( + *filter(None, (print_schema_definition(schema),)), + *map(print_directive, directives), + *map(print_type, types), + ) + ) + + +def print_schema_definition(schema: GraphQLSchema) -> Optional[str]: + if schema.description is None and is_schema_of_common_names(schema): + return None + + operation_types = [] + + query_type = schema.query_type + if query_type: + operation_types.append(f" query: {query_type.name}") + + mutation_type = schema.mutation_type + if mutation_type: + operation_types.append(f" mutation: {mutation_type.name}") + + subscription_type = schema.subscription_type + if subscription_type: + operation_types.append(f" subscription: {subscription_type.name}") + + return print_description(schema) + "schema {\n" + "\n".join(operation_types) + "\n}" + + +def is_schema_of_common_names(schema: GraphQLSchema) -> bool: + """Check whether this schema uses the common naming convention. + + GraphQL schema define root types for each type of operation. These types are the + same as any other type and can be named in any manner, however there is a common + naming convention: + + schema { + query: Query + mutation: Mutation + subscription: Subscription + } + + When using this naming convention, the schema description can be omitted. + """ + query_type = schema.query_type + if query_type and query_type.name != "Query": + return False + + mutation_type = schema.mutation_type + if mutation_type and mutation_type.name != "Mutation": + return False + + subscription_type = schema.subscription_type + return not subscription_type or subscription_type.name == "Subscription" + + +def print_type(type_: GraphQLNamedType) -> str: + if is_scalar_type(type_): + type_ = cast(GraphQLScalarType, type_) + return print_scalar(type_) + if is_object_type(type_): + type_ = cast(GraphQLObjectType, type_) + return print_object(type_) + if is_interface_type(type_): + type_ = cast(GraphQLInterfaceType, type_) + return print_interface(type_) + if is_union_type(type_): + type_ = cast(GraphQLUnionType, type_) + return print_union(type_) + if is_enum_type(type_): + type_ = cast(GraphQLEnumType, type_) + return print_enum(type_) + if is_input_object_type(type_): + type_ = cast(GraphQLInputObjectType, type_) + return print_input_object(type_) + + # Not reachable. All possible types have been considered. + raise TypeError(f"Unexpected type: {inspect(type_)}.") + + +def print_scalar(type_: GraphQLScalarType) -> str: + return ( + print_description(type_) + + f"scalar {type_.name}" + + print_specified_by_url(type_) + ) + + +def print_implemented_interfaces( + type_: Union[GraphQLObjectType, GraphQLInterfaceType] +) -> str: + interfaces = type_.interfaces + return " implements " + " & ".join(i.name for i in interfaces) if interfaces else "" + + +def print_object(type_: GraphQLObjectType) -> str: + return ( + print_description(type_) + + f"type {type_.name}" + + print_implemented_interfaces(type_) + + print_fields(type_) + ) + + +def print_interface(type_: GraphQLInterfaceType) -> str: + return ( + print_description(type_) + + f"interface {type_.name}" + + print_implemented_interfaces(type_) + + print_fields(type_) + ) + + +def print_union(type_: GraphQLUnionType) -> str: + types = type_.types + possible_types = " = " + " | ".join(t.name for t in types) if types else "" + return print_description(type_) + f"union {type_.name}" + possible_types + + +def print_enum(type_: GraphQLEnumType) -> str: + values = [ + print_description(value, " ", not i) + + f" {name}" + + print_deprecated(value.deprecation_reason) + for i, (name, value) in enumerate(type_.values.items()) + ] + return print_description(type_) + f"enum {type_.name}" + print_block(values) + + +def print_input_object(type_: GraphQLInputObjectType) -> str: + fields = [ + print_description(field, " ", not i) + " " + print_input_value(name, field) + for i, (name, field) in enumerate(type_.fields.items()) + ] + return print_description(type_) + f"input {type_.name}" + print_block(fields) + + +def print_fields(type_: Union[GraphQLObjectType, GraphQLInterfaceType]) -> str: + fields = [ + print_description(field, " ", not i) + + f" {name}" + + print_args(field.args, " ") + + f": {field.type}" + + print_deprecated(field.deprecation_reason) + for i, (name, field) in enumerate(type_.fields.items()) + ] + return print_block(fields) + + +def print_block(items: List[str]) -> str: + return " {\n" + "\n".join(items) + "\n}" if items else "" + + +def print_args(args: Dict[str, GraphQLArgument], indentation: str = "") -> str: + if not args: + return "" + + # If every arg does not have a description, print them on one line. + if not any(arg.description for arg in args.values()): + return ( + "(" + + ", ".join(print_input_value(name, arg) for name, arg in args.items()) + + ")" + ) + + return ( + "(\n" + + "\n".join( + print_description(arg, f" {indentation}", not i) + + f" {indentation}" + + print_input_value(name, arg) + for i, (name, arg) in enumerate(args.items()) + ) + + f"\n{indentation})" + ) + + +def print_input_value(name: str, arg: GraphQLArgument) -> str: + default_ast = ast_from_value(arg.default_value, arg.type) + arg_decl = f"{name}: {arg.type}" + if default_ast: + arg_decl += f" = {print_ast(default_ast)}" + return arg_decl + print_deprecated(arg.deprecation_reason) + + +def print_directive(directive: GraphQLDirective) -> str: + return ( + print_description(directive) + + f"directive @{directive.name}" + + print_args(directive.args) + + (" repeatable" if directive.is_repeatable else "") + + " on " + + " | ".join(location.name for location in directive.locations) + ) + + +def print_deprecated(reason: Optional[str]) -> str: + if reason is None: + return "" + if reason != DEFAULT_DEPRECATION_REASON: + ast_value = print_ast(StringValueNode(value=reason)) + return f" @deprecated(reason: {ast_value})" + return " @deprecated" + + +def print_specified_by_url(scalar: GraphQLScalarType) -> str: + if scalar.specified_by_url is None: + return "" + ast_value = print_ast(StringValueNode(value=scalar.specified_by_url)) + return f" @specifiedBy(url: {ast_value})" + + +def print_description( + def_: Union[ + GraphQLArgument, + GraphQLDirective, + GraphQLEnumValue, + GraphQLNamedType, + GraphQLSchema, + ], + indentation: str = "", + first_in_block: bool = True, +) -> str: + description = def_.description + if description is None: + return "" + + block_string = print_ast( + StringValueNode( + value=description, block=is_printable_as_block_string(description) + ) + ) + + prefix = "\n" + indentation if indentation and not first_in_block else indentation + + return prefix + block_string.replace("\n", "\n" + indentation) + "\n" + + +def print_value(value: Any, type_: GraphQLInputType) -> str: + """@deprecated: Convenience function for printing a Python value""" + return print_ast(ast_from_value(value, type_)) # type: ignore diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/separate_operations.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/separate_operations.py new file mode 100644 index 0000000000000000000000000000000000000000..b40bc68690dc8ff96afa64c5fa4c4ed7fab12c99 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/separate_operations.py @@ -0,0 +1,101 @@ +from typing import Any, Dict, List, Set + +from ..language import ( + DocumentNode, + FragmentDefinitionNode, + FragmentSpreadNode, + OperationDefinitionNode, + SelectionSetNode, + Visitor, + visit, +) + +__all__ = ["separate_operations"] + + +DepGraph = Dict[str, List[str]] + + +def separate_operations(document_ast: DocumentNode) -> Dict[str, DocumentNode]: + """Separate operations in a given AST document. + + This function accepts a single AST document which may contain many operations and + fragments and returns a collection of AST documents each of which contains a single + operation as well the fragment definitions it refers to. + """ + operations: List[OperationDefinitionNode] = [] + dep_graph: DepGraph = {} + + # Populate metadata and build a dependency graph. + for definition_node in document_ast.definitions: + if isinstance(definition_node, OperationDefinitionNode): + operations.append(definition_node) + elif isinstance( + definition_node, FragmentDefinitionNode + ): # pragma: no cover else + dep_graph[definition_node.name.value] = collect_dependencies( + definition_node.selection_set + ) + + # For each operation, produce a new synthesized AST which includes only what is + # necessary for completing that operation. + separated_document_asts: Dict[str, DocumentNode] = {} + for operation in operations: + dependencies: Set[str] = set() + + for fragment_name in collect_dependencies(operation.selection_set): + collect_transitive_dependencies(dependencies, dep_graph, fragment_name) + + # Provides the empty string for anonymous operations. + operation_name = operation.name.value if operation.name else "" + + # The list of definition nodes to be included for this operation, sorted + # to retain the same order as the original document. + separated_document_asts[operation_name] = DocumentNode( + definitions=[ + node + for node in document_ast.definitions + if node is operation + or ( + isinstance(node, FragmentDefinitionNode) + and node.name.value in dependencies + ) + ] + ) + + return separated_document_asts + + +def collect_transitive_dependencies( + collected: Set[str], dep_graph: DepGraph, from_name: str +) -> None: + """Collect transitive dependencies. + + From a dependency graph, collects a list of transitive dependencies by recursing + through a dependency graph. + """ + if from_name not in collected: + collected.add(from_name) + + immediate_deps = dep_graph.get(from_name) + if immediate_deps is not None: + for to_name in immediate_deps: + collect_transitive_dependencies(collected, dep_graph, to_name) + + +class DependencyCollector(Visitor): + dependencies: List[str] + + def __init__(self) -> None: + super().__init__() + self.dependencies = [] + self.add_dependency = self.dependencies.append + + def enter_fragment_spread(self, node: FragmentSpreadNode, *_args: Any) -> None: + self.add_dependency(node.name.value) + + +def collect_dependencies(selection_set: SelectionSetNode) -> List[str]: + collector = DependencyCollector() + visit(selection_set, collector) + return collector.dependencies diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/sort_value_node.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/sort_value_node.py new file mode 100644 index 0000000000000000000000000000000000000000..77a8dcb7bd24acffa42691c2e37672632be5ba1b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/sort_value_node.py @@ -0,0 +1,38 @@ +from copy import copy +from typing import Tuple + +from ..language import ListValueNode, ObjectFieldNode, ObjectValueNode, ValueNode +from ..pyutils import natural_comparison_key + +__all__ = ["sort_value_node"] + + +def sort_value_node(value_node: ValueNode) -> ValueNode: + """Sort ValueNode. + + This function returns a sorted copy of the given ValueNode + + For internal use only. + """ + if isinstance(value_node, ObjectValueNode): + value_node = copy(value_node) + value_node.fields = sort_fields(value_node.fields) + elif isinstance(value_node, ListValueNode): + value_node = copy(value_node) + value_node.values = tuple(sort_value_node(value) for value in value_node.values) + return value_node + + +def sort_field(field: ObjectFieldNode) -> ObjectFieldNode: + field = copy(field) + field.value = sort_value_node(field.value) + return field + + +def sort_fields(fields: Tuple[ObjectFieldNode, ...]) -> Tuple[ObjectFieldNode, ...]: + return tuple( + sorted( + (sort_field(field) for field in fields), + key=lambda field: natural_comparison_key(field.name.value), + ) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/strip_ignored_characters.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/strip_ignored_characters.py new file mode 100644 index 0000000000000000000000000000000000000000..1ed5bbefdc248fed9760d79b6c4a183eb3393162 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/strip_ignored_characters.py @@ -0,0 +1,96 @@ +from typing import Union, cast + +from ..language import Lexer, TokenKind +from ..language.source import Source, is_source +from ..language.block_string import print_block_string +from ..language.lexer import is_punctuator_token_kind + +__all__ = ["strip_ignored_characters"] + + +def strip_ignored_characters(source: Union[str, Source]) -> str: + """Strip characters that are ignored anyway. + + Strips characters that are not significant to the validity or execution + of a GraphQL document: + + - UnicodeBOM + - WhiteSpace + - LineTerminator + - Comment + - Comma + - BlockString indentation + + Note: It is required to have a delimiter character between neighboring + non-punctuator tokes and this function always uses single space as delimiter. + + It is guaranteed that both input and output documents if parsed would result + in the exact same AST except for nodes location. + + Warning: It is guaranteed that this function will always produce stable results. + However, it's not guaranteed that it will stay the same between different + releases due to bugfixes or changes in the GraphQL specification. + """ ''' + + Query example:: + + query SomeQuery($foo: String!, $bar: String) { + someField(foo: $foo, bar: $bar) { + a + b { + c + d + } + } + } + + Becomes:: + + query SomeQuery($foo:String!$bar:String){someField(foo:$foo bar:$bar){a b{c d}}} + + SDL example:: + + """ + Type description + """ + type Foo { + """ + Field description + """ + bar: String + } + + Becomes:: + + """Type description""" type Foo{"""Field description""" bar:String} + ''' + source = cast(Source, source) if is_source(source) else Source(cast(str, source)) + + body = source.body + lexer = Lexer(source) + stripped_body = "" + was_last_added_token_non_punctuator = False + while lexer.advance().kind != TokenKind.EOF: + current_token = lexer.token + token_kind = current_token.kind + + # Every two non-punctuator tokens should have space between them. + # Also prevent case of non-punctuator token following by spread resulting + # in invalid token (e.g.`1...` is invalid Float token). + is_non_punctuator = not is_punctuator_token_kind(current_token.kind) + if was_last_added_token_non_punctuator and ( + is_non_punctuator or current_token.kind == TokenKind.SPREAD + ): + stripped_body += " " + + token_body = body[current_token.start : current_token.end] + if token_kind == TokenKind.BLOCK_STRING: + stripped_body += print_block_string( + current_token.value or "", minimize=True + ) + else: + stripped_body += token_body + + was_last_added_token_non_punctuator = is_non_punctuator + + return stripped_body diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/type_comparators.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/type_comparators.py new file mode 100644 index 0000000000000000000000000000000000000000..62883785e8dbf69ca3febe93f60392d49a88ac1c --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/type_comparators.py @@ -0,0 +1,131 @@ +from typing import cast + +from ..type import ( + GraphQLAbstractType, + GraphQLCompositeType, + GraphQLList, + GraphQLNonNull, + GraphQLObjectType, + GraphQLSchema, + GraphQLType, + is_abstract_type, + is_interface_type, + is_list_type, + is_non_null_type, + is_object_type, +) + +__all__ = ["is_equal_type", "is_type_sub_type_of", "do_types_overlap"] + + +def is_equal_type(type_a: GraphQLType, type_b: GraphQLType) -> bool: + """Check whether two types are equal. + + Provided two types, return true if the types are equal (invariant).""" + # Equivalent types are equal. + if type_a is type_b: + return True + + # If either type is non-null, the other must also be non-null. + if is_non_null_type(type_a) and is_non_null_type(type_b): + # noinspection PyUnresolvedReferences + return is_equal_type(type_a.of_type, type_b.of_type) # type:ignore + + # If either type is a list, the other must also be a list. + if is_list_type(type_a) and is_list_type(type_b): + # noinspection PyUnresolvedReferences + return is_equal_type(type_a.of_type, type_b.of_type) # type:ignore + + # Otherwise the types are not equal. + return False + + +def is_type_sub_type_of( + schema: GraphQLSchema, maybe_subtype: GraphQLType, super_type: GraphQLType +) -> bool: + """Check whether a type is subtype of another type in a given schema. + + Provided a type and a super type, return true if the first type is either equal or + a subset of the second super type (covariant). + """ + # Equivalent type is a valid subtype + if maybe_subtype is super_type: + return True + + # If super_type is non-null, maybe_subtype must also be non-null. + if is_non_null_type(super_type): + if is_non_null_type(maybe_subtype): + return is_type_sub_type_of( + schema, + cast(GraphQLNonNull, maybe_subtype).of_type, + cast(GraphQLNonNull, super_type).of_type, + ) + return False + elif is_non_null_type(maybe_subtype): + # If super_type is nullable, maybe_subtype may be non-null or nullable. + return is_type_sub_type_of( + schema, cast(GraphQLNonNull, maybe_subtype).of_type, super_type + ) + + # If super_type type is a list, maybeSubType type must also be a list. + if is_list_type(super_type): + if is_list_type(maybe_subtype): + return is_type_sub_type_of( + schema, + cast(GraphQLList, maybe_subtype).of_type, + cast(GraphQLList, super_type).of_type, + ) + return False + elif is_list_type(maybe_subtype): + # If super_type is not a list, maybe_subtype must also be not a list. + return False + + # If super_type type is abstract, check if it is super type of maybe_subtype. + # Otherwise, the child type is not a valid subtype of the parent type. + return ( + is_abstract_type(super_type) + and (is_interface_type(maybe_subtype) or is_object_type(maybe_subtype)) + and schema.is_sub_type( + cast(GraphQLAbstractType, super_type), + cast(GraphQLObjectType, maybe_subtype), + ) + ) + + +def do_types_overlap( + schema: GraphQLSchema, type_a: GraphQLCompositeType, type_b: GraphQLCompositeType +) -> bool: + """Check whether two types overlap in a given schema. + + Provided two composite types, determine if they "overlap". Two composite types + overlap when the Sets of possible concrete types for each intersect. + + This is often used to determine if a fragment of a given type could possibly be + visited in a context of another type. + + This function is commutative. + """ + # Equivalent types overlap + if type_a is type_b: + return True + + if is_abstract_type(type_a): + type_a = cast(GraphQLAbstractType, type_a) + if is_abstract_type(type_b): + # If both types are abstract, then determine if there is any intersection + # between possible concrete types of each. + type_b = cast(GraphQLAbstractType, type_b) + return any( + schema.is_sub_type(type_b, type_) + for type_ in schema.get_possible_types(type_a) + ) + # Determine if latter type is a possible concrete type of the former. + return schema.is_sub_type(type_a, type_b) + + if is_abstract_type(type_b): + # Determine if former type is a possible concrete type of the latter. + type_b = cast(GraphQLAbstractType, type_b) + return schema.is_sub_type(type_b, type_a) + + # Otherwise the types do not overlap. + return False diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/type_from_ast.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/type_from_ast.py new file mode 100644 index 0000000000000000000000000000000000000000..5c4623b03081536cef8908df352d1796a1ea9440 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/type_from_ast.py @@ -0,0 +1,65 @@ +from typing import Optional, cast, overload + +from ..language import ListTypeNode, NamedTypeNode, NonNullTypeNode, TypeNode +from ..pyutils import inspect +from ..type import ( + GraphQLList, + GraphQLNamedType, + GraphQLNonNull, + GraphQLNullableType, + GraphQLSchema, + GraphQLType, +) + +__all__ = ["type_from_ast"] + + +@overload +def type_from_ast( + schema: GraphQLSchema, type_node: NamedTypeNode +) -> Optional[GraphQLNamedType]: ... + + +@overload +def type_from_ast( + schema: GraphQLSchema, type_node: ListTypeNode +) -> Optional[GraphQLList]: ... + + +@overload +def type_from_ast( + schema: GraphQLSchema, type_node: NonNullTypeNode +) -> Optional[GraphQLNonNull]: ... + + +@overload +def type_from_ast( + schema: GraphQLSchema, type_node: TypeNode +) -> Optional[GraphQLType]: ... + + +def type_from_ast( + schema: GraphQLSchema, + type_node: TypeNode, +) -> Optional[GraphQLType]: + """Get the GraphQL type definition from an AST node. + + Given a Schema and an AST node describing a type, return a GraphQLType definition + which applies to that type. For example, if provided the parsed AST node for + ``[User]``, a GraphQLList instance will be returned, containing the type called + "User" found in the schema. If a type called "User" is not found in the schema, + then None will be returned. + """ + inner_type: Optional[GraphQLType] + if isinstance(type_node, ListTypeNode): + inner_type = type_from_ast(schema, type_node.type) + return GraphQLList(inner_type) if inner_type else None + if isinstance(type_node, NonNullTypeNode): + inner_type = type_from_ast(schema, type_node.type) + inner_type = cast(GraphQLNullableType, inner_type) + return GraphQLNonNull(inner_type) if inner_type else None + if isinstance(type_node, NamedTypeNode): + return schema.get_type(type_node.name.value) + + # Not reachable. All possible type nodes have been considered. + raise TypeError(f"Unexpected type node: {inspect(type_node)}.") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/type_info.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/type_info.py new file mode 100644 index 0000000000000000000000000000000000000000..80a4ef3d88bfb8197e062de14051badf8f8541df --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/type_info.py @@ -0,0 +1,321 @@ +from typing import Any, Callable, List, Optional, Union, cast + +from ..language import ( + ArgumentNode, + DirectiveNode, + EnumValueNode, + FieldNode, + InlineFragmentNode, + ListValueNode, + Node, + ObjectFieldNode, + OperationDefinitionNode, + SelectionSetNode, + VariableDefinitionNode, + Visitor, +) +from ..pyutils import Undefined +from ..type import ( + GraphQLArgument, + GraphQLCompositeType, + GraphQLDirective, + GraphQLEnumType, + GraphQLEnumValue, + GraphQLField, + GraphQLInputObjectType, + GraphQLInputType, + GraphQLInterfaceType, + GraphQLList, + GraphQLObjectType, + GraphQLOutputType, + GraphQLSchema, + GraphQLType, + is_composite_type, + is_input_type, + is_output_type, + get_named_type, + SchemaMetaFieldDef, + TypeMetaFieldDef, + TypeNameMetaFieldDef, + is_object_type, + is_interface_type, + get_nullable_type, + is_list_type, + is_input_object_type, + is_enum_type, +) +from .type_from_ast import type_from_ast + +__all__ = ["TypeInfo", "TypeInfoVisitor"] + + +GetFieldDefFn = Callable[ + [GraphQLSchema, GraphQLType, FieldNode], Optional[GraphQLField] +] + + +class TypeInfo: + """Utility class for keeping track of type definitions. + + TypeInfo is a utility class which, given a GraphQL schema, can keep track of the + current field and type definitions at any point in a GraphQL document AST during + a recursive descent by calling :meth:`enter(node) <.TypeInfo.enter>` and + :meth:`leave(node) <.TypeInfo.leave>`. + """ + + def __init__( + self, + schema: GraphQLSchema, + initial_type: Optional[GraphQLType] = None, + get_field_def_fn: Optional[GetFieldDefFn] = None, + ) -> None: + """Initialize the TypeInfo for the given GraphQL schema. + + Initial type may be provided in rare cases to facilitate traversals beginning + somewhere other than documents. + + The optional last parameter is deprecated and will be removed in v3.3. + """ + self._schema = schema + self._type_stack: List[Optional[GraphQLOutputType]] = [] + self._parent_type_stack: List[Optional[GraphQLCompositeType]] = [] + self._input_type_stack: List[Optional[GraphQLInputType]] = [] + self._field_def_stack: List[Optional[GraphQLField]] = [] + self._default_value_stack: List[Any] = [] + self._directive: Optional[GraphQLDirective] = None + self._argument: Optional[GraphQLArgument] = None + self._enum_value: Optional[GraphQLEnumValue] = None + self._get_field_def: GetFieldDefFn = get_field_def_fn or get_field_def + if initial_type: + if is_input_type(initial_type): + self._input_type_stack.append(cast(GraphQLInputType, initial_type)) + if is_composite_type(initial_type): + self._parent_type_stack.append(cast(GraphQLCompositeType, initial_type)) + if is_output_type(initial_type): + self._type_stack.append(cast(GraphQLOutputType, initial_type)) + + def get_type(self) -> Optional[GraphQLOutputType]: + if self._type_stack: + return self._type_stack[-1] + return None + + def get_parent_type(self) -> Optional[GraphQLCompositeType]: + if self._parent_type_stack: + return self._parent_type_stack[-1] + return None + + def get_input_type(self) -> Optional[GraphQLInputType]: + if self._input_type_stack: + return self._input_type_stack[-1] + return None + + def get_parent_input_type(self) -> Optional[GraphQLInputType]: + if len(self._input_type_stack) > 1: + return self._input_type_stack[-2] + return None + + def get_field_def(self) -> Optional[GraphQLField]: + if self._field_def_stack: + return self._field_def_stack[-1] + return None + + def get_default_value(self) -> Any: + if self._default_value_stack: + return self._default_value_stack[-1] + return None + + def get_directive(self) -> Optional[GraphQLDirective]: + return self._directive + + def get_argument(self) -> Optional[GraphQLArgument]: + return self._argument + + def get_enum_value(self) -> Optional[GraphQLEnumValue]: + return self._enum_value + + def enter(self, node: Node) -> None: + method = getattr(self, "enter_" + node.kind, None) + if method: + method(node) + + def leave(self, node: Node) -> None: + method = getattr(self, "leave_" + node.kind, None) + if method: + method() + + # noinspection PyUnusedLocal + def enter_selection_set(self, node: SelectionSetNode) -> None: + named_type = get_named_type(self.get_type()) + self._parent_type_stack.append( + cast(GraphQLCompositeType, named_type) + if is_composite_type(named_type) + else None + ) + + def enter_field(self, node: FieldNode) -> None: + parent_type = self.get_parent_type() + if parent_type: + field_def = self._get_field_def(self._schema, parent_type, node) + field_type = field_def.type if field_def else None + else: + field_def = field_type = None + self._field_def_stack.append(field_def) + self._type_stack.append(field_type if is_output_type(field_type) else None) + + def enter_directive(self, node: DirectiveNode) -> None: + self._directive = self._schema.get_directive(node.name.value) + + def enter_operation_definition(self, node: OperationDefinitionNode) -> None: + root_type = self._schema.get_root_type(node.operation) + self._type_stack.append(root_type if is_object_type(root_type) else None) + + def enter_inline_fragment(self, node: InlineFragmentNode) -> None: + type_condition_ast = node.type_condition + output_type = ( + type_from_ast(self._schema, type_condition_ast) + if type_condition_ast + else get_named_type(self.get_type()) + ) + self._type_stack.append( + cast(GraphQLOutputType, output_type) + if is_output_type(output_type) + else None + ) + + enter_fragment_definition = enter_inline_fragment + + def enter_variable_definition(self, node: VariableDefinitionNode) -> None: + input_type = type_from_ast(self._schema, node.type) + self._input_type_stack.append( + cast(GraphQLInputType, input_type) if is_input_type(input_type) else None + ) + + def enter_argument(self, node: ArgumentNode) -> None: + field_or_directive = self.get_directive() or self.get_field_def() + if field_or_directive: + arg_def = field_or_directive.args.get(node.name.value) + arg_type = arg_def.type if arg_def else None + else: + arg_def = arg_type = None + self._argument = arg_def + self._default_value_stack.append( + arg_def.default_value if arg_def else Undefined + ) + self._input_type_stack.append(arg_type if is_input_type(arg_type) else None) + + # noinspection PyUnusedLocal + def enter_list_value(self, node: ListValueNode) -> None: + list_type = get_nullable_type(self.get_input_type()) # type: ignore + item_type = ( + cast(GraphQLList, list_type).of_type + if is_list_type(list_type) + else list_type + ) + # List positions never have a default value. + self._default_value_stack.append(Undefined) + self._input_type_stack.append(item_type if is_input_type(item_type) else None) + + def enter_object_field(self, node: ObjectFieldNode) -> None: + object_type = get_named_type(self.get_input_type()) + if is_input_object_type(object_type): + input_field = cast(GraphQLInputObjectType, object_type).fields.get( + node.name.value + ) + input_field_type = input_field.type if input_field else None + else: + input_field = input_field_type = None + self._default_value_stack.append( + input_field.default_value if input_field else Undefined + ) + self._input_type_stack.append( + input_field_type if is_input_type(input_field_type) else None + ) + + def enter_enum_value(self, node: EnumValueNode) -> None: + enum_type = get_named_type(self.get_input_type()) + if is_enum_type(enum_type): + enum_value = cast(GraphQLEnumType, enum_type).values.get(node.value) + else: + enum_value = None + self._enum_value = enum_value + + def leave_selection_set(self) -> None: + del self._parent_type_stack[-1:] + + def leave_field(self) -> None: + del self._field_def_stack[-1:] + del self._type_stack[-1:] + + def leave_directive(self) -> None: + self._directive = None + + def leave_operation_definition(self) -> None: + del self._type_stack[-1:] + + leave_inline_fragment = leave_operation_definition + leave_fragment_definition = leave_operation_definition + + def leave_variable_definition(self) -> None: + del self._input_type_stack[-1:] + + def leave_argument(self) -> None: + self._argument = None + del self._default_value_stack[-1:] + del self._input_type_stack[-1:] + + def leave_list_value(self) -> None: + del self._default_value_stack[-1:] + del self._input_type_stack[-1:] + + leave_object_field = leave_list_value + + def leave_enum_value(self) -> None: + self._enum_value = None + + +def get_field_def( + schema: GraphQLSchema, parent_type: GraphQLType, field_node: FieldNode +) -> Optional[GraphQLField]: + """Get field definition. + + Not exactly the same as the executor's definition of + :func:`graphql.execution.get_field_def`, in this statically evaluated environment + we do not always have an Object type, and need to handle Interface and Union types. + """ + name = field_node.name.value + if name == "__schema" and schema.query_type is parent_type: + return SchemaMetaFieldDef + if name == "__type" and schema.query_type is parent_type: + return TypeMetaFieldDef + if name == "__typename" and is_composite_type(parent_type): + return TypeNameMetaFieldDef + if is_object_type(parent_type) or is_interface_type(parent_type): + parent_type = cast(Union[GraphQLObjectType, GraphQLInterfaceType], parent_type) + return parent_type.fields.get(name) + return None + + +class TypeInfoVisitor(Visitor): + """A visitor which maintains a provided TypeInfo.""" + + def __init__(self, type_info: "TypeInfo", visitor: Visitor): + super().__init__() + self.type_info = type_info + self.visitor = visitor + + def enter(self, node: Node, *args: Any) -> Any: + self.type_info.enter(node) + fn = self.visitor.get_enter_leave_for_kind(node.kind).enter + if fn: + result = fn(node, *args) + if result is not None: + self.type_info.leave(node) + if isinstance(result, Node): + self.type_info.enter(result) + return result + + def leave(self, node: Node, *args: Any) -> Any: + fn = self.visitor.get_enter_leave_for_kind(node.kind).leave + result = fn(node, *args) if fn else None + self.type_info.leave(node) + return result diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/value_from_ast.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/value_from_ast.py new file mode 100644 index 0000000000000000000000000000000000000000..62a506c814a9f74472aa5f7052717739a17f88d7 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/value_from_ast.py @@ -0,0 +1,149 @@ +from typing import Any, Dict, List, Optional, cast + +from ..language import ( + ListValueNode, + NullValueNode, + ObjectValueNode, + ValueNode, + VariableNode, +) +from ..pyutils import inspect, Undefined +from ..type import ( + GraphQLInputObjectType, + GraphQLInputType, + GraphQLList, + GraphQLNonNull, + GraphQLScalarType, + is_input_object_type, + is_leaf_type, + is_list_type, + is_non_null_type, +) + +__all__ = ["value_from_ast"] + + +def value_from_ast( + value_node: Optional[ValueNode], + type_: GraphQLInputType, + variables: Optional[Dict[str, Any]] = None, +) -> Any: + """Produce a Python value given a GraphQL Value AST. + + A GraphQL type must be provided, which will be used to interpret different GraphQL + Value literals. + + Returns ``Undefined`` when the value could not be validly coerced according + to the provided type. + + =================== ============== ================ + GraphQL Value JSON Value Python Value + =================== ============== ================ + Input Object Object dict + List Array list + Boolean Boolean bool + String String str + Int / Float Number int / float + Enum Value Mixed Any + NullValue null None + =================== ============== ================ + + """ + if not value_node: + # When there is no node, then there is also no value. + # Importantly, this is different from returning the value null. + return Undefined + + if isinstance(value_node, VariableNode): + variable_name = value_node.name.value + if not variables: + return Undefined + variable_value = variables.get(variable_name, Undefined) + if variable_value is None and is_non_null_type(type_): + return Undefined + # Note: This does no further checking that this variable is correct. + # This assumes that this query has been validated and the variable usage here + # is of the correct type. + return variable_value + + if is_non_null_type(type_): + if isinstance(value_node, NullValueNode): + return Undefined + type_ = cast(GraphQLNonNull, type_) + return value_from_ast(value_node, type_.of_type, variables) + + if isinstance(value_node, NullValueNode): + return None # This is explicitly returning the value None. + + if is_list_type(type_): + type_ = cast(GraphQLList, type_) + item_type = type_.of_type + if isinstance(value_node, ListValueNode): + coerced_values: List[Any] = [] + append_value = coerced_values.append + for item_node in value_node.values: + if is_missing_variable(item_node, variables): + # If an array contains a missing variable, it is either coerced to + # None or if the item type is non-null, it is considered invalid. + if is_non_null_type(item_type): + return Undefined + append_value(None) + else: + item_value = value_from_ast(item_node, item_type, variables) + if item_value is Undefined: + return Undefined + append_value(item_value) + return coerced_values + coerced_value = value_from_ast(value_node, item_type, variables) + if coerced_value is Undefined: + return Undefined + return [coerced_value] + + if is_input_object_type(type_): + if not isinstance(value_node, ObjectValueNode): + return Undefined + type_ = cast(GraphQLInputObjectType, type_) + coerced_obj: Dict[str, Any] = {} + fields = type_.fields + field_nodes = {field.name.value: field for field in value_node.fields} + for field_name, field in fields.items(): + field_node = field_nodes.get(field_name) + if not field_node or is_missing_variable(field_node.value, variables): + if field.default_value is not Undefined: + # Use out name as name if it exists (extension of GraphQL.js). + coerced_obj[field.out_name or field_name] = field.default_value + elif is_non_null_type(field.type): # pragma: no cover else + return Undefined + continue + field_value = value_from_ast(field_node.value, field.type, variables) + if field_value is Undefined: + return Undefined + coerced_obj[field.out_name or field_name] = field_value + + return type_.out_type(coerced_obj) + + if is_leaf_type(type_): + # Scalars fulfill parsing a literal value via `parse_literal()`. Invalid values + # represent a failure to parse correctly, in which case Undefined is returned. + type_ = cast(GraphQLScalarType, type_) + # noinspection PyBroadException + try: + if variables: + result = type_.parse_literal(value_node, variables) + else: + result = type_.parse_literal(value_node) + except Exception: + return Undefined + return result + + # Not reachable. All possible input types have been considered. + raise TypeError(f"Unexpected input type: {inspect(type_)}.") + + +def is_missing_variable( + value_node: ValueNode, variables: Optional[Dict[str, Any]] = None +) -> bool: + """Check if ``value_node`` is a variable not defined in the ``variables`` dict.""" + return isinstance(value_node, VariableNode) and ( + not variables or variables.get(value_node.name.value, Undefined) is Undefined + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/value_from_ast_untyped.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/value_from_ast_untyped.py new file mode 100644 index 0000000000000000000000000000000000000000..795160b511a4ad501525fe77bb37ed063e487a72 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/utilities/value_from_ast_untyped.py @@ -0,0 +1,110 @@ +from math import nan +from typing import Any, Callable, Dict, Optional, Union + +from ..language import ( + ValueNode, + BooleanValueNode, + EnumValueNode, + FloatValueNode, + IntValueNode, + ListValueNode, + NullValueNode, + ObjectValueNode, + StringValueNode, + VariableNode, +) + +from ..pyutils import inspect, Undefined + +__all__ = ["value_from_ast_untyped"] + + +def value_from_ast_untyped( + value_node: ValueNode, variables: Optional[Dict[str, Any]] = None +) -> Any: + """Produce a Python value given a GraphQL Value AST. + + Unlike :func:`~graphql.utilities.value_from_ast`, no type is provided. + The resulting Python value will reflect the provided GraphQL value AST. + + =================== ============== ================ + GraphQL Value JSON Value Python Value + =================== ============== ================ + Input Object Object dict + List Array list + Boolean Boolean bool + String / Enum String str + Int / Float Number int / float + Null null None + =================== ============== ================ + + """ + func = _value_from_kind_functions.get(value_node.kind) + if func: + return func(value_node, variables) + + # Not reachable. All possible value nodes have been considered. + raise TypeError( # pragma: no cover + f"Unexpected value node: {inspect(value_node)}." + ) + + +def value_from_null(_value_node: NullValueNode, _variables: Any) -> Any: + return None + + +def value_from_int(value_node: IntValueNode, _variables: Any) -> Any: + try: + return int(value_node.value) + except ValueError: + return nan + + +def value_from_float(value_node: FloatValueNode, _variables: Any) -> Any: + try: + return float(value_node.value) + except ValueError: + return nan + + +def value_from_string( + value_node: Union[BooleanValueNode, EnumValueNode, StringValueNode], _variables: Any +) -> Any: + return value_node.value + + +def value_from_list( + value_node: ListValueNode, variables: Optional[Dict[str, Any]] +) -> Any: + return [value_from_ast_untyped(node, variables) for node in value_node.values] + + +def value_from_object( + value_node: ObjectValueNode, variables: Optional[Dict[str, Any]] +) -> Any: + return { + field.name.value: value_from_ast_untyped(field.value, variables) + for field in value_node.fields + } + + +def value_from_variable( + value_node: VariableNode, variables: Optional[Dict[str, Any]] +) -> Any: + variable_name = value_node.name.value + if not variables: + return Undefined + return variables.get(variable_name, Undefined) + + +_value_from_kind_functions: Dict[str, Callable] = { + "null_value": value_from_null, + "int_value": value_from_int, + "float_value": value_from_float, + "string_value": value_from_string, + "enum_value": value_from_string, + "boolean_value": value_from_string, + "list_value": value_from_list, + "object_value": value_from_object, + "variable": value_from_variable, +} diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..313073a53b7a6adbad3e672d08173a6932e2ef0f --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/__init__.py @@ -0,0 +1,157 @@ +"""GraphQL Validation + +The :mod:`graphql.validation` package fulfills the Validation phase of fulfilling a +GraphQL result. +""" + +from .validate import validate + +from .validation_context import ( + ASTValidationContext, + SDLValidationContext, + ValidationContext, +) + +from .rules import ValidationRule, ASTValidationRule, SDLValidationRule + +# All validation rules in the GraphQL Specification. +from .specified_rules import specified_rules + +# Spec Section: "Executable Definitions" +from .rules.executable_definitions import ExecutableDefinitionsRule + +# Spec Section: "Field Selections on Objects, Interfaces, and Unions Types" +from .rules.fields_on_correct_type import FieldsOnCorrectTypeRule + +# Spec Section: "Fragments on Composite Types" +from .rules.fragments_on_composite_types import FragmentsOnCompositeTypesRule + +# Spec Section: "Argument Names" +from .rules.known_argument_names import KnownArgumentNamesRule + +# Spec Section: "Directives Are Defined" +from .rules.known_directives import KnownDirectivesRule + +# Spec Section: "Fragment spread target defined" +from .rules.known_fragment_names import KnownFragmentNamesRule + +# Spec Section: "Fragment Spread Type Existence" +from .rules.known_type_names import KnownTypeNamesRule + +# Spec Section: "Lone Anonymous Operation" +from .rules.lone_anonymous_operation import LoneAnonymousOperationRule + +# Spec Section: "Fragments must not form cycles" +from .rules.no_fragment_cycles import NoFragmentCyclesRule + +# Spec Section: "All Variable Used Defined" +from .rules.no_undefined_variables import NoUndefinedVariablesRule + +# Spec Section: "Fragments must be used" +from .rules.no_unused_fragments import NoUnusedFragmentsRule + +# Spec Section: "All Variables Used" +from .rules.no_unused_variables import NoUnusedVariablesRule + +# Spec Section: "Field Selection Merging" +from .rules.overlapping_fields_can_be_merged import OverlappingFieldsCanBeMergedRule + +# Spec Section: "Fragment spread is possible" +from .rules.possible_fragment_spreads import PossibleFragmentSpreadsRule + +# Spec Section: "Argument Optionality" +from .rules.provided_required_arguments import ProvidedRequiredArgumentsRule + +# Spec Section: "Leaf Field Selections" +from .rules.scalar_leafs import ScalarLeafsRule + +# Spec Section: "Subscriptions with Single Root Field" +from .rules.single_field_subscriptions import SingleFieldSubscriptionsRule + +# Spec Section: "Argument Uniqueness" +from .rules.unique_argument_names import UniqueArgumentNamesRule + +# Spec Section: "Directives Are Unique Per Location" +from .rules.unique_directives_per_location import UniqueDirectivesPerLocationRule + +# Spec Section: "Fragment Name Uniqueness" +from .rules.unique_fragment_names import UniqueFragmentNamesRule + +# Spec Section: "Input Object Field Uniqueness" +from .rules.unique_input_field_names import UniqueInputFieldNamesRule + +# Spec Section: "Operation Name Uniqueness" +from .rules.unique_operation_names import UniqueOperationNamesRule + +# Spec Section: "Variable Uniqueness" +from .rules.unique_variable_names import UniqueVariableNamesRule + +# Spec Section: "Value Type Correctness" +from .rules.values_of_correct_type import ValuesOfCorrectTypeRule + +# Spec Section: "Variables are Input Types" +from .rules.variables_are_input_types import VariablesAreInputTypesRule + +# Spec Section: "All Variable Usages Are Allowed" +from .rules.variables_in_allowed_position import VariablesInAllowedPositionRule + +# SDL-specific validation rules +from .rules.lone_schema_definition import LoneSchemaDefinitionRule +from .rules.unique_operation_types import UniqueOperationTypesRule +from .rules.unique_type_names import UniqueTypeNamesRule +from .rules.unique_enum_value_names import UniqueEnumValueNamesRule +from .rules.unique_field_definition_names import UniqueFieldDefinitionNamesRule +from .rules.unique_argument_definition_names import UniqueArgumentDefinitionNamesRule +from .rules.unique_directive_names import UniqueDirectiveNamesRule +from .rules.possible_type_extensions import PossibleTypeExtensionsRule + +# Optional rules not defined by the GraphQL Specification +from .rules.custom.no_deprecated import NoDeprecatedCustomRule +from .rules.custom.no_schema_introspection import NoSchemaIntrospectionCustomRule + +__all__ = [ + "validate", + "ASTValidationContext", + "ASTValidationRule", + "SDLValidationContext", + "SDLValidationRule", + "ValidationContext", + "ValidationRule", + "specified_rules", + "ExecutableDefinitionsRule", + "FieldsOnCorrectTypeRule", + "FragmentsOnCompositeTypesRule", + "KnownArgumentNamesRule", + "KnownDirectivesRule", + "KnownFragmentNamesRule", + "KnownTypeNamesRule", + "LoneAnonymousOperationRule", + "NoFragmentCyclesRule", + "NoUndefinedVariablesRule", + "NoUnusedFragmentsRule", + "NoUnusedVariablesRule", + "OverlappingFieldsCanBeMergedRule", + "PossibleFragmentSpreadsRule", + "ProvidedRequiredArgumentsRule", + "ScalarLeafsRule", + "SingleFieldSubscriptionsRule", + "UniqueArgumentNamesRule", + "UniqueDirectivesPerLocationRule", + "UniqueFragmentNamesRule", + "UniqueInputFieldNamesRule", + "UniqueOperationNamesRule", + "UniqueVariableNamesRule", + "ValuesOfCorrectTypeRule", + "VariablesAreInputTypesRule", + "VariablesInAllowedPositionRule", + "LoneSchemaDefinitionRule", + "UniqueOperationTypesRule", + "UniqueTypeNamesRule", + "UniqueEnumValueNamesRule", + "UniqueFieldDefinitionNamesRule", + "UniqueArgumentDefinitionNamesRule", + "UniqueDirectiveNamesRule", + "PossibleTypeExtensionsRule", + "NoDeprecatedCustomRule", + "NoSchemaIntrospectionCustomRule", +] diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/__pycache__/__init__.cpython-312.pyc 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+"""graphql.validation.rules package""" + +from ...error import GraphQLError +from ...language.visitor import Visitor +from ..validation_context import ( + ASTValidationContext, + SDLValidationContext, + ValidationContext, +) + +__all__ = ["ASTValidationRule", "SDLValidationRule", "ValidationRule"] + + +class ASTValidationRule(Visitor): + """Visitor for validation of an AST.""" + + context: ASTValidationContext + + def __init__(self, context: ASTValidationContext): + super().__init__() + self.context = context + + def report_error(self, error: GraphQLError) -> None: + self.context.report_error(error) + + +class SDLValidationRule(ASTValidationRule): + """Visitor for validation of an SDL AST.""" + + context: SDLValidationContext + + def __init__(self, context: SDLValidationContext) -> None: + super().__init__(context) + + +class ValidationRule(ASTValidationRule): + """Visitor for validation using a GraphQL schema.""" + + context: ValidationContext + + def __init__(self, context: 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a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/custom/no_deprecated.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/custom/no_deprecated.py new file mode 100644 index 0000000000000000000000000000000000000000..e4b897ff5a70b62ebb5050421867c61ed8439e42 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/custom/no_deprecated.py @@ -0,0 +1,101 @@ +from typing import Any, cast + +from ....error import GraphQLError +from ....language import ArgumentNode, EnumValueNode, FieldNode, ObjectFieldNode +from ....type import GraphQLInputObjectType, get_named_type, is_input_object_type +from .. import ValidationRule + +__all__ = ["NoDeprecatedCustomRule"] + + +class NoDeprecatedCustomRule(ValidationRule): + """No deprecated + + A GraphQL document is only valid if all selected fields and all used enum values + have not been deprecated. + + Note: This rule is optional and is not part of the Validation section of the GraphQL + Specification. The main purpose of this rule is detection of deprecated usages and + not necessarily to forbid their use when querying a service. + """ + + def enter_field(self, node: FieldNode, *_args: Any) -> None: + context = self.context + field_def = context.get_field_def() + if field_def: + deprecation_reason = field_def.deprecation_reason + if deprecation_reason is not None: + parent_type = context.get_parent_type() + parent_name = parent_type.name # type: ignore + self.report_error( + GraphQLError( + f"The field {parent_name}.{node.name.value}" + f" is deprecated. {deprecation_reason}", + node, + ) + ) + + def enter_argument(self, node: ArgumentNode, *_args: Any) -> None: + context = self.context + arg_def = context.get_argument() + if arg_def: + deprecation_reason = arg_def.deprecation_reason + if deprecation_reason is not None: + directive_def = context.get_directive() + arg_name = node.name.value + if directive_def is None: + parent_type = context.get_parent_type() + parent_name = parent_type.name # type: ignore + field_def = context.get_field_def() + field_name = field_def.ast_node.name.value # type: ignore + self.report_error( + GraphQLError( + f"Field '{parent_name}.{field_name}' argument" + f" '{arg_name}' is deprecated. {deprecation_reason}", + node, + ) + ) + else: + self.report_error( + GraphQLError( + f"Directive '@{directive_def.name}' argument" + f" '{arg_name}' is deprecated. {deprecation_reason}", + node, + ) + ) + + def enter_object_field(self, node: ObjectFieldNode, *_args: Any) -> None: + context = self.context + input_object_def = get_named_type(context.get_parent_input_type()) + if is_input_object_type(input_object_def): + input_field_def = cast(GraphQLInputObjectType, input_object_def).fields.get( + node.name.value + ) + if input_field_def: + deprecation_reason = input_field_def.deprecation_reason + if deprecation_reason is not None: + field_name = node.name.value + input_object_name = input_object_def.name # type: ignore + self.report_error( + GraphQLError( + f"The input field {input_object_name}.{field_name}" + f" is deprecated. {deprecation_reason}", + node, + ) + ) + + def enter_enum_value(self, node: EnumValueNode, *_args: Any) -> None: + context = self.context + enum_value_def = context.get_enum_value() + if enum_value_def: + deprecation_reason = enum_value_def.deprecation_reason + if deprecation_reason is not None: # pragma: no cover else + enum_type_def = get_named_type(context.get_input_type()) + enum_type_name = enum_type_def.name # type: ignore + self.report_error( + GraphQLError( + f"The enum value '{enum_type_name}.{node.value}'" + f" is deprecated. {deprecation_reason}", + node, + ) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/custom/no_schema_introspection.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/custom/no_schema_introspection.py new file mode 100644 index 0000000000000000000000000000000000000000..76f15ea778efe4c551cc254287aa9aeb3b6b3d2f --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/custom/no_schema_introspection.py @@ -0,0 +1,31 @@ +from typing import Any + +from ....error import GraphQLError +from ....language import FieldNode +from ....type import get_named_type, is_introspection_type +from .. import ValidationRule + +__all__ = ["NoSchemaIntrospectionCustomRule"] + + +class NoSchemaIntrospectionCustomRule(ValidationRule): + """Prohibit introspection queries + + A GraphQL document is only valid if all fields selected are not fields that + return an introspection type. + + Note: This rule is optional and is not part of the Validation section of the + GraphQL Specification. This rule effectively disables introspection, which + does not reflect best practices and should only be done if absolutely necessary. + """ + + def enter_field(self, node: FieldNode, *_args: Any) -> None: + type_ = get_named_type(self.context.get_type()) + if type_ and is_introspection_type(type_): + self.report_error( + GraphQLError( + "GraphQL introspection has been disabled, but the requested query" + f" contained the field '{node.name.value}'.", + node, + ) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/executable_definitions.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/executable_definitions.py new file mode 100644 index 0000000000000000000000000000000000000000..eead0fae4056e59f55ead5c45a432a4319f4fdb7 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/executable_definitions.py @@ -0,0 +1,49 @@ +from typing import Any, Union, cast + +from ...error import GraphQLError +from ...language import ( + DirectiveDefinitionNode, + DocumentNode, + ExecutableDefinitionNode, + SchemaDefinitionNode, + SchemaExtensionNode, + TypeDefinitionNode, + VisitorAction, + SKIP, +) +from . import ASTValidationRule + +__all__ = ["ExecutableDefinitionsRule"] + + +class ExecutableDefinitionsRule(ASTValidationRule): + """Executable definitions + + A GraphQL document is only valid for execution if all definitions are either + operation or fragment definitions. + + See https://spec.graphql.org/draft/#sec-Executable-Definitions + """ + + def enter_document(self, node: DocumentNode, *_args: Any) -> VisitorAction: + for definition in node.definitions: + if not isinstance(definition, ExecutableDefinitionNode): + def_name = ( + "schema" + if isinstance( + definition, (SchemaDefinitionNode, SchemaExtensionNode) + ) + else "'{}'".format( + cast( + Union[DirectiveDefinitionNode, TypeDefinitionNode], + definition, + ).name.value + ) + ) + self.report_error( + GraphQLError( + f"The {def_name} definition is not executable.", + definition, + ) + ) + return SKIP diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/fields_on_correct_type.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/fields_on_correct_type.py new file mode 100644 index 0000000000000000000000000000000000000000..d5622f76ce6f20cb7a32965c6b0ed713807f9df0 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/fields_on_correct_type.py @@ -0,0 +1,136 @@ +from collections import defaultdict +from functools import cmp_to_key +from typing import Any, Dict, List, Union, cast + +from ...type import ( + GraphQLAbstractType, + GraphQLInterfaceType, + GraphQLObjectType, + GraphQLOutputType, + GraphQLSchema, + is_abstract_type, + is_interface_type, + is_object_type, +) +from ...error import GraphQLError +from ...language import FieldNode +from ...pyutils import did_you_mean, natural_comparison_key, suggestion_list +from . import ValidationRule + +__all__ = ["FieldsOnCorrectTypeRule"] + + +class FieldsOnCorrectTypeRule(ValidationRule): + """Fields on correct type + + A GraphQL document is only valid if all fields selected are defined by the parent + type, or are an allowed meta field such as ``__typename``. + + See https://spec.graphql.org/draft/#sec-Field-Selections + """ + + def enter_field(self, node: FieldNode, *_args: Any) -> None: + type_ = self.context.get_parent_type() + if not type_: + return + field_def = self.context.get_field_def() + if field_def: + return + # This field doesn't exist, lets look for suggestions. + schema = self.context.schema + field_name = node.name.value + + # First determine if there are any suggested types to condition on. + suggestion = did_you_mean( + get_suggested_type_names(schema, type_, field_name), + "to use an inline fragment on", + ) + + # If there are no suggested types, then perhaps this was a typo? + if not suggestion: + suggestion = did_you_mean(get_suggested_field_names(type_, field_name)) + + # Report an error, including helpful suggestions. + self.report_error( + GraphQLError( + f"Cannot query field '{field_name}' on type '{type_}'." + suggestion, + node, + ) + ) + + +def get_suggested_type_names( + schema: GraphQLSchema, type_: GraphQLOutputType, field_name: str +) -> List[str]: + """ + Get a list of suggested type names. + + Go through all of the implementations of type, as well as the interfaces + that they implement. If any of those types include the provided field, + suggest them, sorted by how often the type is referenced. + """ + if not is_abstract_type(type_): + # Must be an Object type, which does not have possible fields. + return [] + + type_ = cast(GraphQLAbstractType, type_) + # Use a dict instead of a set for stable sorting when usage counts are the same + suggested_types: Dict[Union[GraphQLObjectType, GraphQLInterfaceType], None] = {} + usage_count: Dict[str, int] = defaultdict(int) + for possible_type in schema.get_possible_types(type_): + if field_name not in possible_type.fields: + continue + + # This object type defines this field. + suggested_types[possible_type] = None + usage_count[possible_type.name] = 1 + + for possible_interface in possible_type.interfaces: + if field_name not in possible_interface.fields: + continue + + # This interface type defines this field. + suggested_types[possible_interface] = None + usage_count[possible_interface.name] += 1 + + def cmp( + type_a: Union[GraphQLObjectType, GraphQLInterfaceType], + type_b: Union[GraphQLObjectType, GraphQLInterfaceType], + ) -> int: # pragma: no cover + # Suggest both interface and object types based on how common they are. + usage_count_diff = usage_count[type_b.name] - usage_count[type_a.name] + if usage_count_diff: + return usage_count_diff + + # Suggest super types first followed by subtypes + if is_interface_type(type_a) and schema.is_sub_type( + cast(GraphQLInterfaceType, type_a), type_b + ): + return -1 + if is_interface_type(type_b) and schema.is_sub_type( + cast(GraphQLInterfaceType, type_b), type_a + ): + return 1 + + name_a = natural_comparison_key(type_a.name) + name_b = natural_comparison_key(type_b.name) + if name_a > name_b: + return 1 + if name_a < name_b: + return -1 + return 0 + + return [type_.name for type_ in sorted(suggested_types, key=cmp_to_key(cmp))] + + +def get_suggested_field_names(type_: GraphQLOutputType, field_name: str) -> List[str]: + """Get a list of suggested field names. + + For the field name provided, determine if there are any similar field names that may + be the result of a typo. + """ + if is_object_type(type_) or is_interface_type(type_): + possible_field_names = list(type_.fields) # type: ignore + return suggestion_list(field_name, possible_field_names) + # Otherwise, must be a Union type, which does not define fields. + return [] diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/fragments_on_composite_types.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/fragments_on_composite_types.py new file mode 100644 index 0000000000000000000000000000000000000000..c0c9cb5f5332c81ef3e9f031f487500ca9774556 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/fragments_on_composite_types.py @@ -0,0 +1,53 @@ +from typing import Any + +from ...error import GraphQLError +from ...language import ( + FragmentDefinitionNode, + InlineFragmentNode, + print_ast, +) +from ...type import is_composite_type +from ...utilities import type_from_ast +from . import ValidationRule + +__all__ = ["FragmentsOnCompositeTypesRule"] + + +class FragmentsOnCompositeTypesRule(ValidationRule): + """Fragments on composite type + + Fragments use a type condition to determine if they apply, since fragments can only + be spread into a composite type (object, interface, or union), the type condition + must also be a composite type. + + See https://spec.graphql.org/draft/#sec-Fragments-On-Composite-Types + """ + + def enter_inline_fragment(self, node: InlineFragmentNode, *_args: Any) -> None: + type_condition = node.type_condition + if type_condition: + type_ = type_from_ast(self.context.schema, type_condition) + if type_ and not is_composite_type(type_): + type_str = print_ast(type_condition) + self.report_error( + GraphQLError( + "Fragment cannot condition" + f" on non composite type '{type_str}'.", + type_condition, + ) + ) + + def enter_fragment_definition( + self, node: FragmentDefinitionNode, *_args: Any + ) -> None: + type_condition = node.type_condition + type_ = type_from_ast(self.context.schema, type_condition) + if type_ and not is_composite_type(type_): + type_str = print_ast(type_condition) + self.report_error( + GraphQLError( + f"Fragment '{node.name.value}' cannot condition" + f" on non composite type '{type_str}'.", + type_condition, + ) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/known_argument_names.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/known_argument_names.py new file mode 100644 index 0000000000000000000000000000000000000000..d0eb6b9f29d09c4154b697401812a04bb307f212 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/known_argument_names.py @@ -0,0 +1,98 @@ +from typing import cast, Any, Dict, List, Union + +from ...error import GraphQLError +from ...language import ( + ArgumentNode, + DirectiveDefinitionNode, + DirectiveNode, + SKIP, + VisitorAction, +) +from ...pyutils import did_you_mean, suggestion_list +from ...type import specified_directives +from . import ASTValidationRule, SDLValidationContext, ValidationContext + +__all__ = ["KnownArgumentNamesRule", "KnownArgumentNamesOnDirectivesRule"] + + +class KnownArgumentNamesOnDirectivesRule(ASTValidationRule): + """Known argument names on directives + + A GraphQL directive is only valid if all supplied arguments are defined. + + For internal use only. + """ + + context: Union[ValidationContext, SDLValidationContext] + + def __init__(self, context: Union[ValidationContext, SDLValidationContext]): + super().__init__(context) + directive_args: Dict[str, List[str]] = {} + + schema = context.schema + defined_directives = schema.directives if schema else specified_directives + for directive in cast(List, defined_directives): + directive_args[directive.name] = list(directive.args) + + ast_definitions = context.document.definitions + for def_ in ast_definitions: + if isinstance(def_, DirectiveDefinitionNode): + directive_args[def_.name.value] = [ + arg.name.value for arg in def_.arguments or [] + ] + + self.directive_args = directive_args + + def enter_directive( + self, directive_node: DirectiveNode, *_args: Any + ) -> VisitorAction: + directive_name = directive_node.name.value + known_args = self.directive_args.get(directive_name) + if directive_node.arguments and known_args is not None: + for arg_node in directive_node.arguments: + arg_name = arg_node.name.value + if arg_name not in known_args: + suggestions = suggestion_list(arg_name, known_args) + self.report_error( + GraphQLError( + f"Unknown argument '{arg_name}'" + f" on directive '@{directive_name}'." + + did_you_mean(suggestions), + arg_node, + ) + ) + return SKIP + + +class KnownArgumentNamesRule(KnownArgumentNamesOnDirectivesRule): + """Known argument names + + A GraphQL field is only valid if all supplied arguments are defined by that field. + + See https://spec.graphql.org/draft/#sec-Argument-Names + See https://spec.graphql.org/draft/#sec-Directives-Are-In-Valid-Locations + """ + + context: ValidationContext + + def __init__(self, context: ValidationContext): + super().__init__(context) + + def enter_argument(self, arg_node: ArgumentNode, *args: Any) -> None: + context = self.context + arg_def = context.get_argument() + field_def = context.get_field_def() + parent_type = context.get_parent_type() + if not arg_def and field_def and parent_type: + arg_name = arg_node.name.value + field_name = args[3][-1].name.value + known_args_names = list(field_def.args) + suggestions = suggestion_list(arg_name, known_args_names) + context.report_error( + GraphQLError( + f"Unknown argument '{arg_name}'" + f" on field '{parent_type.name}.{field_name}'." + + did_you_mean(suggestions), + arg_node, + ) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/known_directives.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/known_directives.py new file mode 100644 index 0000000000000000000000000000000000000000..26c5c75bf9591973cd934330a994915e0702c71d --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/known_directives.py @@ -0,0 +1,119 @@ +from typing import cast, Any, Dict, List, Optional, Tuple, Union + +from ...error import GraphQLError +from ...language import ( + DirectiveLocation, + DirectiveDefinitionNode, + DirectiveNode, + Node, + OperationDefinitionNode, +) +from ...type import specified_directives +from . import ASTValidationRule, SDLValidationContext, ValidationContext + +__all__ = ["KnownDirectivesRule"] + + +class KnownDirectivesRule(ASTValidationRule): + """Known directives + + A GraphQL document is only valid if all ``@directives`` are known by the schema and + legally positioned. + + See https://spec.graphql.org/draft/#sec-Directives-Are-Defined + """ + + context: Union[ValidationContext, SDLValidationContext] + + def __init__(self, context: Union[ValidationContext, SDLValidationContext]): + super().__init__(context) + locations_map: Dict[str, Tuple[DirectiveLocation, ...]] = {} + + schema = context.schema + defined_directives = ( + schema.directives if schema else cast(List, specified_directives) + ) + for directive in defined_directives: + locations_map[directive.name] = directive.locations + ast_definitions = context.document.definitions + for def_ in ast_definitions: + if isinstance(def_, DirectiveDefinitionNode): + locations_map[def_.name.value] = tuple( + DirectiveLocation[name.value] for name in def_.locations + ) + self.locations_map = locations_map + + def enter_directive( + self, + node: DirectiveNode, + _key: Any, + _parent: Any, + _path: Any, + ancestors: List[Node], + ) -> None: + name = node.name.value + locations = self.locations_map.get(name) + if locations: + candidate_location = get_directive_location_for_ast_path(ancestors) + if candidate_location and candidate_location not in locations: + self.report_error( + GraphQLError( + f"Directive '@{name}'" + f" may not be used on {candidate_location.value}.", + node, + ) + ) + else: + self.report_error(GraphQLError(f"Unknown directive '@{name}'.", node)) + + +_operation_location = { + "query": DirectiveLocation.QUERY, + "mutation": DirectiveLocation.MUTATION, + "subscription": DirectiveLocation.SUBSCRIPTION, +} + +_directive_location = { + "field": DirectiveLocation.FIELD, + "fragment_spread": DirectiveLocation.FRAGMENT_SPREAD, + "inline_fragment": DirectiveLocation.INLINE_FRAGMENT, + "fragment_definition": DirectiveLocation.FRAGMENT_DEFINITION, + "variable_definition": DirectiveLocation.VARIABLE_DEFINITION, + "schema_definition": DirectiveLocation.SCHEMA, + "schema_extension": DirectiveLocation.SCHEMA, + "scalar_type_definition": DirectiveLocation.SCALAR, + "scalar_type_extension": DirectiveLocation.SCALAR, + "object_type_definition": DirectiveLocation.OBJECT, + "object_type_extension": DirectiveLocation.OBJECT, + "field_definition": DirectiveLocation.FIELD_DEFINITION, + "interface_type_definition": DirectiveLocation.INTERFACE, + "interface_type_extension": DirectiveLocation.INTERFACE, + "union_type_definition": DirectiveLocation.UNION, + "union_type_extension": DirectiveLocation.UNION, + "enum_type_definition": DirectiveLocation.ENUM, + "enum_type_extension": DirectiveLocation.ENUM, + "enum_value_definition": DirectiveLocation.ENUM_VALUE, + "input_object_type_definition": DirectiveLocation.INPUT_OBJECT, + "input_object_type_extension": DirectiveLocation.INPUT_OBJECT, +} + + +def get_directive_location_for_ast_path( + ancestors: List[Node], +) -> Optional[DirectiveLocation]: + applied_to = ancestors[-1] + if not isinstance(applied_to, Node): # pragma: no cover + raise TypeError("Unexpected error in directive.") + kind = applied_to.kind + if kind == "operation_definition": + applied_to = cast(OperationDefinitionNode, applied_to) + return _operation_location[applied_to.operation.value] + elif kind == "input_value_definition": + parent_node = ancestors[-3] + return ( + DirectiveLocation.INPUT_FIELD_DEFINITION + if parent_node.kind == "input_object_type_definition" + else DirectiveLocation.ARGUMENT_DEFINITION + ) + else: + return _directive_location.get(kind) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/known_fragment_names.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/known_fragment_names.py new file mode 100644 index 0000000000000000000000000000000000000000..bb21ea77adc514e3d9ab755613c09e436d74e146 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/known_fragment_names.py @@ -0,0 +1,25 @@ +from typing import Any + +from ...error import GraphQLError +from ...language import FragmentSpreadNode +from . import ValidationRule + +__all__ = ["KnownFragmentNamesRule"] + + +class KnownFragmentNamesRule(ValidationRule): + """Known fragment names + + A GraphQL document is only valid if all ``...Fragment`` fragment spreads refer to + fragments defined in the same document. + + See https://spec.graphql.org/draft/#sec-Fragment-spread-target-defined + """ + + def enter_fragment_spread(self, node: FragmentSpreadNode, *_args: Any) -> None: + fragment_name = node.name.value + fragment = self.context.get_fragment(fragment_name) + if not fragment: + self.report_error( + GraphQLError(f"Unknown fragment '{fragment_name}'.", node.name) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/known_type_names.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/known_type_names.py new file mode 100644 index 0000000000000000000000000000000000000000..aa210899873df8aec1d2a59a27280b070fc937dd --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/known_type_names.py @@ -0,0 +1,90 @@ +from typing import Any, Collection, List, Union, cast + +from ...error import GraphQLError +from ...language import ( + is_type_definition_node, + is_type_system_definition_node, + is_type_system_extension_node, + Node, + NamedTypeNode, + TypeDefinitionNode, +) +from ...type import introspection_types, specified_scalar_types +from ...pyutils import did_you_mean, suggestion_list +from . import ASTValidationRule, ValidationContext, SDLValidationContext + +__all__ = ["KnownTypeNamesRule"] + + +class KnownTypeNamesRule(ASTValidationRule): + """Known type names + + A GraphQL document is only valid if referenced types (specifically variable + definitions and fragment conditions) are defined by the type schema. + + See https://spec.graphql.org/draft/#sec-Fragment-Spread-Type-Existence + """ + + def __init__(self, context: Union[ValidationContext, SDLValidationContext]): + super().__init__(context) + schema = context.schema + self.existing_types_map = schema.type_map if schema else {} + + defined_types = [] + for def_ in context.document.definitions: + if is_type_definition_node(def_): + def_ = cast(TypeDefinitionNode, def_) + defined_types.append(def_.name.value) + self.defined_types = set(defined_types) + + self.type_names = list(self.existing_types_map) + defined_types + + def enter_named_type( + self, + node: NamedTypeNode, + _key: Any, + parent: Node, + _path: Any, + ancestors: List[Node], + ) -> None: + type_name = node.name.value + if ( + type_name not in self.existing_types_map + and type_name not in self.defined_types + ): + try: + definition_node = ancestors[2] + except IndexError: + definition_node = parent + is_sdl = is_sdl_node(definition_node) + if is_sdl and type_name in standard_type_names: + return + + suggested_types = suggestion_list( + type_name, + ( + list(standard_type_names) + self.type_names + if is_sdl + else self.type_names + ), + ) + self.report_error( + GraphQLError( + f"Unknown type '{type_name}'." + did_you_mean(suggested_types), + node, + ) + ) + + +standard_type_names = set(specified_scalar_types).union(introspection_types) + + +def is_sdl_node(value: Union[Node, Collection[Node], None]) -> bool: + return ( + value is not None + and not isinstance(value, list) + and ( + is_type_system_definition_node(cast(Node, value)) + or is_type_system_extension_node(cast(Node, value)) + ) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/lone_anonymous_operation.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/lone_anonymous_operation.py new file mode 100644 index 0000000000000000000000000000000000000000..f88b5c854db88220098aebf50905bfa5ac56347f --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/lone_anonymous_operation.py @@ -0,0 +1,37 @@ +from typing import Any + +from ...error import GraphQLError +from ...language import DocumentNode, OperationDefinitionNode +from . import ASTValidationContext, ASTValidationRule + +__all__ = ["LoneAnonymousOperationRule"] + + +class LoneAnonymousOperationRule(ASTValidationRule): + """Lone anonymous operation + + A GraphQL document is only valid if when it contains an anonymous operation + (the query short-hand) that it contains only that one operation definition. + + See https://spec.graphql.org/draft/#sec-Lone-Anonymous-Operation + """ + + def __init__(self, context: ASTValidationContext): + super().__init__(context) + self.operation_count = 0 + + def enter_document(self, node: DocumentNode, *_args: Any) -> None: + self.operation_count = sum( + isinstance(definition, OperationDefinitionNode) + for definition in node.definitions + ) + + def enter_operation_definition( + self, node: OperationDefinitionNode, *_args: Any + ) -> None: + if not node.name and self.operation_count > 1: + self.report_error( + GraphQLError( + "This anonymous operation must be the only defined operation.", node + ) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/lone_schema_definition.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/lone_schema_definition.py new file mode 100644 index 0000000000000000000000000000000000000000..2d33cb86729d5821b00efc29712dd1630efe489f --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/lone_schema_definition.py @@ -0,0 +1,39 @@ +from typing import Any + +from ...error import GraphQLError +from ...language import SchemaDefinitionNode +from . import SDLValidationRule, SDLValidationContext + +__all__ = ["LoneSchemaDefinitionRule"] + + +class LoneSchemaDefinitionRule(SDLValidationRule): + """Lone Schema definition + + A GraphQL document is only valid if it contains only one schema definition. + """ + + def __init__(self, context: SDLValidationContext): + super().__init__(context) + old_schema = context.schema + self.already_defined = old_schema and ( + old_schema.ast_node + or old_schema.query_type + or old_schema.mutation_type + or old_schema.subscription_type + ) + self.schema_definitions_count = 0 + + def enter_schema_definition(self, node: SchemaDefinitionNode, *_args: Any) -> None: + if self.already_defined: + self.report_error( + GraphQLError( + "Cannot define a new schema within a schema extension.", node + ) + ) + else: + if self.schema_definitions_count: + self.report_error( + GraphQLError("Must provide only one schema definition.", node) + ) + self.schema_definitions_count += 1 diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/no_fragment_cycles.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/no_fragment_cycles.py new file mode 100644 index 0000000000000000000000000000000000000000..cf2b7e372daafd27f42b8de550b208d667bba4a4 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/no_fragment_cycles.py @@ -0,0 +1,81 @@ +from typing import Any, Dict, List, Set + +from ...error import GraphQLError +from ...language import FragmentDefinitionNode, FragmentSpreadNode, VisitorAction, SKIP +from . import ASTValidationContext, ASTValidationRule + +__all__ = ["NoFragmentCyclesRule"] + + +class NoFragmentCyclesRule(ASTValidationRule): + """No fragment cycles + + The graph of fragment spreads must not form any cycles including spreading itself. + Otherwise an operation could infinitely spread or infinitely execute on cycles in + the underlying data. + + See https://spec.graphql.org/draft/#sec-Fragment-spreads-must-not-form-cycles + """ + + def __init__(self, context: ASTValidationContext): + super().__init__(context) + # Tracks already visited fragments to maintain O(N) and to ensure that + # cycles are not redundantly reported. + self.visited_frags: Set[str] = set() + # List of AST nodes used to produce meaningful errors + self.spread_path: List[FragmentSpreadNode] = [] + # Position in the spread path + self.spread_path_index_by_name: Dict[str, int] = {} + + @staticmethod + def enter_operation_definition(*_args: Any) -> VisitorAction: + return SKIP + + def enter_fragment_definition( + self, node: FragmentDefinitionNode, *_args: Any + ) -> VisitorAction: + self.detect_cycle_recursive(node) + return SKIP + + def detect_cycle_recursive(self, fragment: FragmentDefinitionNode) -> None: + # This does a straight-forward DFS to find cycles. + # It does not terminate when a cycle was found but continues to explore + # the graph to find all possible cycles. + if fragment.name.value in self.visited_frags: + return + + fragment_name = fragment.name.value + visited_frags = self.visited_frags + visited_frags.add(fragment_name) + + spread_nodes = self.context.get_fragment_spreads(fragment.selection_set) + if not spread_nodes: + return + + spread_path = self.spread_path + spread_path_index = self.spread_path_index_by_name + spread_path_index[fragment_name] = len(spread_path) + get_fragment = self.context.get_fragment + + for spread_node in spread_nodes: + spread_name = spread_node.name.value + cycle_index = spread_path_index.get(spread_name) + + spread_path.append(spread_node) + if cycle_index is None: + spread_fragment = get_fragment(spread_name) + if spread_fragment: + self.detect_cycle_recursive(spread_fragment) + else: + cycle_path = spread_path[cycle_index:] + via_path = ", ".join("'" + s.name.value + "'" for s in cycle_path[:-1]) + self.report_error( + GraphQLError( + f"Cannot spread fragment '{spread_name}' within itself" + + (f" via {via_path}." if via_path else "."), + cycle_path, + ) + ) + spread_path.pop() + + del spread_path_index[fragment_name] diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/no_undefined_variables.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/no_undefined_variables.py new file mode 100644 index 0000000000000000000000000000000000000000..7e4a6873df5c9ec0641458a8101469669fd6720a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/no_undefined_variables.py @@ -0,0 +1,50 @@ +from typing import Any, Set + +from ...error import GraphQLError +from ...language import OperationDefinitionNode, VariableDefinitionNode +from . import ValidationContext, ValidationRule + +__all__ = ["NoUndefinedVariablesRule"] + + +class NoUndefinedVariablesRule(ValidationRule): + """No undefined variables + + A GraphQL operation is only valid if all variables encountered, both directly and + via fragment spreads, are defined by that operation. + + See https://spec.graphql.org/draft/#sec-All-Variable-Uses-Defined + """ + + def __init__(self, context: ValidationContext): + super().__init__(context) + self.defined_variable_names: Set[str] = set() + + def enter_operation_definition(self, *_args: Any) -> None: + self.defined_variable_names.clear() + + def leave_operation_definition( + self, operation: OperationDefinitionNode, *_args: Any + ) -> None: + usages = self.context.get_recursive_variable_usages(operation) + defined_variables = self.defined_variable_names + for usage in usages: + node = usage.node + var_name = node.name.value + if var_name not in defined_variables: + self.report_error( + GraphQLError( + ( + f"Variable '${var_name}' is not defined" + f" by operation '{operation.name.value}'." + if operation.name + else f"Variable '${var_name}' is not defined." + ), + [node, operation], + ) + ) + + def enter_variable_definition( + self, node: VariableDefinitionNode, *_args: Any + ) -> None: + self.defined_variable_names.add(node.variable.name.value) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/no_unused_fragments.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/no_unused_fragments.py new file mode 100644 index 0000000000000000000000000000000000000000..c2b46cf0476bce44d8bf7a7b19787c085148b5d7 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/no_unused_fragments.py @@ -0,0 +1,53 @@ +from typing import Any, List + +from ...error import GraphQLError +from ...language import ( + FragmentDefinitionNode, + OperationDefinitionNode, + VisitorAction, + SKIP, +) +from . import ASTValidationContext, ASTValidationRule + +__all__ = ["NoUnusedFragmentsRule"] + + +class NoUnusedFragmentsRule(ASTValidationRule): + """No unused fragments + + A GraphQL document is only valid if all fragment definitions are spread within + operations, or spread within other fragments spread within operations. + + See https://spec.graphql.org/draft/#sec-Fragments-Must-Be-Used + """ + + def __init__(self, context: ASTValidationContext): + super().__init__(context) + self.operation_defs: List[OperationDefinitionNode] = [] + self.fragment_defs: List[FragmentDefinitionNode] = [] + + def enter_operation_definition( + self, node: OperationDefinitionNode, *_args: Any + ) -> VisitorAction: + self.operation_defs.append(node) + return SKIP + + def enter_fragment_definition( + self, node: FragmentDefinitionNode, *_args: Any + ) -> VisitorAction: + self.fragment_defs.append(node) + return SKIP + + def leave_document(self, *_args: Any) -> None: + fragment_names_used = set() + get_fragments = self.context.get_recursively_referenced_fragments + for operation in self.operation_defs: + for fragment in get_fragments(operation): + fragment_names_used.add(fragment.name.value) + + for fragment_def in self.fragment_defs: + frag_name = fragment_def.name.value + if frag_name not in fragment_names_used: + self.report_error( + GraphQLError(f"Fragment '{frag_name}' is never used.", fragment_def) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/no_unused_variables.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/no_unused_variables.py new file mode 100644 index 0000000000000000000000000000000000000000..968b0a4bce1cb99e345bdb23a185e6f274b5ad1d --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/no_unused_variables.py @@ -0,0 +1,53 @@ +from typing import Any, List, Set + +from ...error import GraphQLError +from ...language import OperationDefinitionNode, VariableDefinitionNode +from . import ValidationContext, ValidationRule + +__all__ = ["NoUnusedVariablesRule"] + + +class NoUnusedVariablesRule(ValidationRule): + """No unused variables + + A GraphQL operation is only valid if all variables defined by an operation are used, + either directly or within a spread fragment. + + See https://spec.graphql.org/draft/#sec-All-Variables-Used + """ + + def __init__(self, context: ValidationContext): + super().__init__(context) + self.variable_defs: List[VariableDefinitionNode] = [] + + def enter_operation_definition(self, *_args: Any) -> None: + self.variable_defs.clear() + + def leave_operation_definition( + self, operation: OperationDefinitionNode, *_args: Any + ) -> None: + variable_name_used: Set[str] = set() + usages = self.context.get_recursive_variable_usages(operation) + + for usage in usages: + variable_name_used.add(usage.node.name.value) + + for variable_def in self.variable_defs: + variable_name = variable_def.variable.name.value + if variable_name not in variable_name_used: + self.report_error( + GraphQLError( + ( + f"Variable '${variable_name}' is never used" + f" in operation '{operation.name.value}'." + if operation.name + else f"Variable '${variable_name}' is never used." + ), + variable_def, + ) + ) + + def enter_variable_definition( + self, definition: VariableDefinitionNode, *_args: Any + ) -> None: + self.variable_defs.append(definition) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/overlapping_fields_can_be_merged.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/overlapping_fields_can_be_merged.py new file mode 100644 index 0000000000000000000000000000000000000000..d8e509d4fbf74ecf8f828d4cadc2b6d8e9e6b424 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/overlapping_fields_can_be_merged.py @@ -0,0 +1,783 @@ +from itertools import chain +from typing import Any, Dict, List, Optional, Tuple, Union, cast + +from ...error import GraphQLError +from ...language import ( + DirectiveNode, + FieldNode, + FragmentDefinitionNode, + FragmentSpreadNode, + InlineFragmentNode, + SelectionSetNode, + ValueNode, + print_ast, +) +from ...type import ( + GraphQLCompositeType, + GraphQLField, + GraphQLList, + GraphQLNamedType, + GraphQLNonNull, + GraphQLOutputType, + get_named_type, + is_interface_type, + is_leaf_type, + is_list_type, + is_non_null_type, + is_object_type, +) +from ...utilities import type_from_ast +from ...utilities.sort_value_node import sort_value_node +from . import ValidationContext, ValidationRule + +MYPY = False + +__all__ = ["OverlappingFieldsCanBeMergedRule"] + + +def reason_message(reason: "ConflictReasonMessage") -> str: + if isinstance(reason, list): + return " and ".join( + f"subfields '{response_name}' conflict" + f" because {reason_message(sub_reason)}" + for response_name, sub_reason in reason + ) + return reason + + +class OverlappingFieldsCanBeMergedRule(ValidationRule): + """Overlapping fields can be merged + + A selection set is only valid if all fields (including spreading any fragments) + either correspond to distinct response names or can be merged without ambiguity. + + See https://spec.graphql.org/draft/#sec-Field-Selection-Merging + """ + + def __init__(self, context: ValidationContext): + super().__init__(context) + # A memoization for when two fragments are compared "between" each other for + # conflicts. Two fragments may be compared many times, so memoizing this can + # dramatically improve the performance of this validator. + self.compared_fragment_pairs = PairSet() + + # A cache for the "field map" and list of fragment names found in any given + # selection set. Selection sets may be asked for this information multiple + # times, so this improves the performance of this validator. + self.cached_fields_and_fragment_names: Dict = {} + + def enter_selection_set(self, selection_set: SelectionSetNode, *_args: Any) -> None: + conflicts = find_conflicts_within_selection_set( + self.context, + self.cached_fields_and_fragment_names, + self.compared_fragment_pairs, + self.context.get_parent_type(), + selection_set, + ) + for (reason_name, reason), fields1, fields2 in conflicts: + reason_msg = reason_message(reason) + self.report_error( + GraphQLError( + f"Fields '{reason_name}' conflict because {reason_msg}." + " Use different aliases on the fields to fetch both" + " if this was intentional.", + fields1 + fields2, + ) + ) + + +Conflict = Tuple["ConflictReason", List[FieldNode], List[FieldNode]] +# Field name and reason. +ConflictReason = Tuple[str, "ConflictReasonMessage"] +# Reason is a string, or a nested list of conflicts. +if MYPY: # recursive types not fully supported yet (/python/mypy/issues/731) + ConflictReasonMessage = Union[str, List] +else: + ConflictReasonMessage = Union[str, List[ConflictReason]] +# Tuple defining a field node in a context. +NodeAndDef = Tuple[GraphQLCompositeType, FieldNode, Optional[GraphQLField]] +# Dictionary of lists of those. +NodeAndDefCollection = Dict[str, List[NodeAndDef]] + + +# Algorithm: +# +# Conflicts occur when two fields exist in a query which will produce the same +# response name, but represent differing values, thus creating a conflict. +# The algorithm below finds all conflicts via making a series of comparisons +# between fields. In order to compare as few fields as possible, this makes +# a series of comparisons "within" sets of fields and "between" sets of fields. +# +# Given any selection set, a collection produces both a set of fields by +# also including all inline fragments, as well as a list of fragments +# referenced by fragment spreads. +# +# A) Each selection set represented in the document first compares "within" its +# collected set of fields, finding any conflicts between every pair of +# overlapping fields. +# Note: This is the#only time* that a the fields "within" a set are compared +# to each other. After this only fields "between" sets are compared. +# +# B) Also, if any fragment is referenced in a selection set, then a +# comparison is made "between" the original set of fields and the +# referenced fragment. +# +# C) Also, if multiple fragments are referenced, then comparisons +# are made "between" each referenced fragment. +# +# D) When comparing "between" a set of fields and a referenced fragment, first +# a comparison is made between each field in the original set of fields and +# each field in the the referenced set of fields. +# +# E) Also, if any fragment is referenced in the referenced selection set, +# then a comparison is made "between" the original set of fields and the +# referenced fragment (recursively referring to step D). +# +# F) When comparing "between" two fragments, first a comparison is made between +# each field in the first referenced set of fields and each field in the the +# second referenced set of fields. +# +# G) Also, any fragments referenced by the first must be compared to the +# second, and any fragments referenced by the second must be compared to the +# first (recursively referring to step F). +# +# H) When comparing two fields, if both have selection sets, then a comparison +# is made "between" both selection sets, first comparing the set of fields in +# the first selection set with the set of fields in the second. +# +# I) Also, if any fragment is referenced in either selection set, then a +# comparison is made "between" the other set of fields and the +# referenced fragment. +# +# J) Also, if two fragments are referenced in both selection sets, then a +# comparison is made "between" the two fragments. + + +def find_conflicts_within_selection_set( + context: ValidationContext, + cached_fields_and_fragment_names: Dict, + compared_fragment_pairs: "PairSet", + parent_type: Optional[GraphQLNamedType], + selection_set: SelectionSetNode, +) -> List[Conflict]: + """Find conflicts within selection set. + + Find all conflicts found "within" a selection set, including those found via + spreading in fragments. + + Called when visiting each SelectionSet in the GraphQL Document. + """ + conflicts: List[Conflict] = [] + + field_map, fragment_names = get_fields_and_fragment_names( + context, cached_fields_and_fragment_names, parent_type, selection_set + ) + + # (A) Find all conflicts "within" the fields of this selection set. + # Note: this is the *only place* `collect_conflicts_within` is called. + collect_conflicts_within( + context, + conflicts, + cached_fields_and_fragment_names, + compared_fragment_pairs, + field_map, + ) + + if fragment_names: + # (B) Then collect conflicts between these fields and those represented by each + # spread fragment name found. + for i, fragment_name in enumerate(fragment_names): + collect_conflicts_between_fields_and_fragment( + context, + conflicts, + cached_fields_and_fragment_names, + compared_fragment_pairs, + False, + field_map, + fragment_name, + ) + # (C) Then compare this fragment with all other fragments found in this + # selection set to collect conflicts within fragments spread together. + # This compares each item in the list of fragment names to every other + # item in that same list (except for itself). + for other_fragment_name in fragment_names[i + 1 :]: + collect_conflicts_between_fragments( + context, + conflicts, + cached_fields_and_fragment_names, + compared_fragment_pairs, + False, + fragment_name, + other_fragment_name, + ) + + return conflicts + + +def collect_conflicts_between_fields_and_fragment( + context: ValidationContext, + conflicts: List[Conflict], + cached_fields_and_fragment_names: Dict, + compared_fragment_pairs: "PairSet", + are_mutually_exclusive: bool, + field_map: NodeAndDefCollection, + fragment_name: str, +) -> None: + """Collect conflicts between fields and fragment. + + Collect all conflicts found between a set of fields and a fragment reference + including via spreading in any nested fragments. + """ + fragment = context.get_fragment(fragment_name) + if not fragment: + return None + + field_map2, referenced_fragment_names = get_referenced_fields_and_fragment_names( + context, cached_fields_and_fragment_names, fragment + ) + + # Do not compare a fragment's fieldMap to itself. + if field_map is field_map2: + return + + # (D) First collect any conflicts between the provided collection of fields and the + # collection of fields represented by the given fragment. + collect_conflicts_between( + context, + conflicts, + cached_fields_and_fragment_names, + compared_fragment_pairs, + are_mutually_exclusive, + field_map, + field_map2, + ) + + # (E) Then collect any conflicts between the provided collection of fields and any + # fragment names found in the given fragment. + for referenced_fragment_name in referenced_fragment_names: + # Memoize so two fragments are not compared for conflicts more than once. + if compared_fragment_pairs.has( + referenced_fragment_name, fragment_name, are_mutually_exclusive + ): + continue + compared_fragment_pairs.add( + referenced_fragment_name, fragment_name, are_mutually_exclusive + ) + + collect_conflicts_between_fields_and_fragment( + context, + conflicts, + cached_fields_and_fragment_names, + compared_fragment_pairs, + are_mutually_exclusive, + field_map, + referenced_fragment_name, + ) + + +def collect_conflicts_between_fragments( + context: ValidationContext, + conflicts: List[Conflict], + cached_fields_and_fragment_names: Dict, + compared_fragment_pairs: "PairSet", + are_mutually_exclusive: bool, + fragment_name1: str, + fragment_name2: str, +) -> None: + """Collect conflicts between fragments. + + Collect all conflicts found between two fragments, including via spreading in any + nested fragments. + """ + # No need to compare a fragment to itself. + if fragment_name1 == fragment_name2: + return + + # Memoize so two fragments are not compared for conflicts more than once. + if compared_fragment_pairs.has( + fragment_name1, fragment_name2, are_mutually_exclusive + ): + return + compared_fragment_pairs.add(fragment_name1, fragment_name2, are_mutually_exclusive) + + fragment1 = context.get_fragment(fragment_name1) + fragment2 = context.get_fragment(fragment_name2) + if not fragment1 or not fragment2: + return None + + field_map1, referenced_fragment_names1 = get_referenced_fields_and_fragment_names( + context, cached_fields_and_fragment_names, fragment1 + ) + + field_map2, referenced_fragment_names2 = get_referenced_fields_and_fragment_names( + context, cached_fields_and_fragment_names, fragment2 + ) + + # (F) First, collect all conflicts between these two collections of fields + # (not including any nested fragments) + collect_conflicts_between( + context, + conflicts, + cached_fields_and_fragment_names, + compared_fragment_pairs, + are_mutually_exclusive, + field_map1, + field_map2, + ) + + # (G) Then collect conflicts between the first fragment and any nested fragments + # spread in the second fragment. + for referenced_fragment_name2 in referenced_fragment_names2: + collect_conflicts_between_fragments( + context, + conflicts, + cached_fields_and_fragment_names, + compared_fragment_pairs, + are_mutually_exclusive, + fragment_name1, + referenced_fragment_name2, + ) + + # (G) Then collect conflicts between the second fragment and any nested fragments + # spread in the first fragment. + for referenced_fragment_name1 in referenced_fragment_names1: + collect_conflicts_between_fragments( + context, + conflicts, + cached_fields_and_fragment_names, + compared_fragment_pairs, + are_mutually_exclusive, + referenced_fragment_name1, + fragment_name2, + ) + + +def find_conflicts_between_sub_selection_sets( + context: ValidationContext, + cached_fields_and_fragment_names: Dict, + compared_fragment_pairs: "PairSet", + are_mutually_exclusive: bool, + parent_type1: Optional[GraphQLNamedType], + selection_set1: SelectionSetNode, + parent_type2: Optional[GraphQLNamedType], + selection_set2: SelectionSetNode, +) -> List[Conflict]: + """Find conflicts between sub selection sets. + + Find all conflicts found between two selection sets, including those found via + spreading in fragments. Called when determining if conflicts exist between the + sub-fields of two overlapping fields. + """ + conflicts: List[Conflict] = [] + + field_map1, fragment_names1 = get_fields_and_fragment_names( + context, cached_fields_and_fragment_names, parent_type1, selection_set1 + ) + field_map2, fragment_names2 = get_fields_and_fragment_names( + context, cached_fields_and_fragment_names, parent_type2, selection_set2 + ) + + # (H) First, collect all conflicts between these two collections of field. + collect_conflicts_between( + context, + conflicts, + cached_fields_and_fragment_names, + compared_fragment_pairs, + are_mutually_exclusive, + field_map1, + field_map2, + ) + + # (I) Then collect conflicts between the first collection of fields and those + # referenced by each fragment name associated with the second. + if fragment_names2: + for fragment_name2 in fragment_names2: + collect_conflicts_between_fields_and_fragment( + context, + conflicts, + cached_fields_and_fragment_names, + compared_fragment_pairs, + are_mutually_exclusive, + field_map1, + fragment_name2, + ) + + # (I) Then collect conflicts between the second collection of fields and those + # referenced by each fragment name associated with the first. + if fragment_names1: + for fragment_name1 in fragment_names1: + collect_conflicts_between_fields_and_fragment( + context, + conflicts, + cached_fields_and_fragment_names, + compared_fragment_pairs, + are_mutually_exclusive, + field_map2, + fragment_name1, + ) + + # (J) Also collect conflicts between any fragment names by the first and fragment + # names by the second. This compares each item in the first set of names to each + # item in the second set of names. + for fragment_name1 in fragment_names1: + for fragment_name2 in fragment_names2: + collect_conflicts_between_fragments( + context, + conflicts, + cached_fields_and_fragment_names, + compared_fragment_pairs, + are_mutually_exclusive, + fragment_name1, + fragment_name2, + ) + + return conflicts + + +def collect_conflicts_within( + context: ValidationContext, + conflicts: List[Conflict], + cached_fields_and_fragment_names: Dict, + compared_fragment_pairs: "PairSet", + field_map: NodeAndDefCollection, +) -> None: + """Collect all Conflicts "within" one collection of fields.""" + # A field map is a keyed collection, where each key represents a response name and + # the value at that key is a list of all fields which provide that response name. + # For every response name, if there are multiple fields, they must be compared to + # find a potential conflict. + for response_name, fields in field_map.items(): + # This compares every field in the list to every other field in this list + # (except to itself). If the list only has one item, nothing needs to be + # compared. + if len(fields) > 1: + for i, field in enumerate(fields): + for other_field in fields[i + 1 :]: + conflict = find_conflict( + context, + cached_fields_and_fragment_names, + compared_fragment_pairs, + # within one collection is never mutually exclusive + False, + response_name, + field, + other_field, + ) + if conflict: + conflicts.append(conflict) + + +def collect_conflicts_between( + context: ValidationContext, + conflicts: List[Conflict], + cached_fields_and_fragment_names: Dict, + compared_fragment_pairs: "PairSet", + parent_fields_are_mutually_exclusive: bool, + field_map1: NodeAndDefCollection, + field_map2: NodeAndDefCollection, +) -> None: + """Collect all Conflicts between two collections of fields. + + This is similar to, but different from the :func:`~.collect_conflicts_within` + function above. This check assumes that :func:`~.collect_conflicts_within` has + already been called on each provided collection of fields. This is true because + this validator traverses each individual selection set. + """ + # A field map is a keyed collection, where each key represents a response name and + # the value at that key is a list of all fields which provide that response name. + # For any response name which appears in both provided field maps, each field from + # the first field map must be compared to every field in the second field map to + # find potential conflicts. + for response_name, fields1 in field_map1.items(): + fields2 = field_map2.get(response_name) + if fields2: + for field1 in fields1: + for field2 in fields2: + conflict = find_conflict( + context, + cached_fields_and_fragment_names, + compared_fragment_pairs, + parent_fields_are_mutually_exclusive, + response_name, + field1, + field2, + ) + if conflict: + conflicts.append(conflict) + + +def find_conflict( + context: ValidationContext, + cached_fields_and_fragment_names: Dict, + compared_fragment_pairs: "PairSet", + parent_fields_are_mutually_exclusive: bool, + response_name: str, + field1: NodeAndDef, + field2: NodeAndDef, +) -> Optional[Conflict]: + """Find conflict. + + Determines if there is a conflict between two particular fields, including comparing + their sub-fields. + """ + parent_type1, node1, def1 = field1 + parent_type2, node2, def2 = field2 + + # If it is known that two fields could not possibly apply at the same time, due to + # the parent types, then it is safe to permit them to diverge in aliased field or + # arguments used as they will not present any ambiguity by differing. It is known + # that two parent types could never overlap if they are different Object types. + # Interface or Union types might overlap - if not in the current state of the + # schema, then perhaps in some future version, thus may not safely diverge. + are_mutually_exclusive = parent_fields_are_mutually_exclusive or ( + parent_type1 != parent_type2 + and is_object_type(parent_type1) + and is_object_type(parent_type2) + ) + + # The return type for each field. + type1 = cast(Optional[GraphQLOutputType], def1 and def1.type) + type2 = cast(Optional[GraphQLOutputType], def2 and def2.type) + + if not are_mutually_exclusive: + # Two aliases must refer to the same field. + name1 = node1.name.value + name2 = node2.name.value + if name1 != name2: + return ( + (response_name, f"'{name1}' and '{name2}' are different fields"), + [node1], + [node2], + ) + + # Two field calls must have the same arguments. + if not same_arguments(node1, node2): + return (response_name, "they have differing arguments"), [node1], [node2] + + if type1 and type2 and do_types_conflict(type1, type2): + return ( + (response_name, f"they return conflicting types '{type1}' and '{type2}'"), + [node1], + [node2], + ) + + # Collect and compare sub-fields. Use the same "visited fragment names" list for + # both collections so fields in a fragment reference are never compared to + # themselves. + selection_set1 = node1.selection_set + selection_set2 = node2.selection_set + if selection_set1 and selection_set2: + conflicts = find_conflicts_between_sub_selection_sets( + context, + cached_fields_and_fragment_names, + compared_fragment_pairs, + are_mutually_exclusive, + get_named_type(type1), + selection_set1, + get_named_type(type2), + selection_set2, + ) + return subfield_conflicts(conflicts, response_name, node1, node2) + + return None # no conflict + + +def same_arguments( + node1: Union[FieldNode, DirectiveNode], node2: Union[FieldNode, DirectiveNode] +) -> bool: + args1 = node1.arguments + args2 = node2.arguments + + if not args1: + return not args2 + + if not args2: + return False + + if len(args1) != len(args2): + return False # pragma: no cover + + values2 = {arg.name.value: arg.value for arg in args2} + + for arg1 in args1: + value1 = arg1.value + value2 = values2.get(arg1.name.value) + if value2 is None or stringify_value(value1) != stringify_value(value2): + return False + + return True + + +def stringify_value(value: ValueNode) -> str: + return print_ast(sort_value_node(value)) + + +def do_types_conflict(type1: GraphQLOutputType, type2: GraphQLOutputType) -> bool: + """Check whether two types conflict + + Two types conflict if both types could not apply to a value simultaneously. + Composite types are ignored as their individual field types will be compared later + recursively. However List and Non-Null types must match. + """ + if is_list_type(type1): + return ( + do_types_conflict( + cast(GraphQLList, type1).of_type, cast(GraphQLList, type2).of_type + ) + if is_list_type(type2) + else True + ) + if is_list_type(type2): + return True + if is_non_null_type(type1): + return ( + do_types_conflict( + cast(GraphQLNonNull, type1).of_type, cast(GraphQLNonNull, type2).of_type + ) + if is_non_null_type(type2) + else True + ) + if is_non_null_type(type2): + return True + if is_leaf_type(type1) or is_leaf_type(type2): + return type1 is not type2 + return False + + +def get_fields_and_fragment_names( + context: ValidationContext, + cached_fields_and_fragment_names: Dict, + parent_type: Optional[GraphQLNamedType], + selection_set: SelectionSetNode, +) -> Tuple[NodeAndDefCollection, List[str]]: + """Get fields and referenced fragment names + + Given a selection set, return the collection of fields (a mapping of response name + to field nodes and definitions) as well as a list of fragment names referenced via + fragment spreads. + """ + cached = cached_fields_and_fragment_names.get(selection_set) + if not cached: + node_and_defs: NodeAndDefCollection = {} + fragment_names: Dict[str, bool] = {} + collect_fields_and_fragment_names( + context, parent_type, selection_set, node_and_defs, fragment_names + ) + cached = (node_and_defs, list(fragment_names)) + cached_fields_and_fragment_names[selection_set] = cached + return cached + + +def get_referenced_fields_and_fragment_names( + context: ValidationContext, + cached_fields_and_fragment_names: Dict, + fragment: FragmentDefinitionNode, +) -> Tuple[NodeAndDefCollection, List[str]]: + """Get referenced fields and nested fragment names + + Given a reference to a fragment, return the represented collection of fields as well + as a list of nested fragment names referenced via fragment spreads. + """ + # Short-circuit building a type from the node if possible. + cached = cached_fields_and_fragment_names.get(fragment.selection_set) + if cached: + return cached + + fragment_type = type_from_ast(context.schema, fragment.type_condition) + return get_fields_and_fragment_names( + context, cached_fields_and_fragment_names, fragment_type, fragment.selection_set + ) + + +def collect_fields_and_fragment_names( + context: ValidationContext, + parent_type: Optional[GraphQLNamedType], + selection_set: SelectionSetNode, + node_and_defs: NodeAndDefCollection, + fragment_names: Dict[str, bool], +) -> None: + for selection in selection_set.selections: + if isinstance(selection, FieldNode): + field_name = selection.name.value + field_def = ( + parent_type.fields.get(field_name) # type: ignore + if is_object_type(parent_type) or is_interface_type(parent_type) + else None + ) + response_name = selection.alias.value if selection.alias else field_name + if not node_and_defs.get(response_name): + node_and_defs[response_name] = [] + node_and_defs[response_name].append( + cast(NodeAndDef, (parent_type, selection, field_def)) + ) + elif isinstance(selection, FragmentSpreadNode): + fragment_names[selection.name.value] = True + elif isinstance(selection, InlineFragmentNode): # pragma: no cover else + type_condition = selection.type_condition + inline_fragment_type = ( + type_from_ast(context.schema, type_condition) + if type_condition + else parent_type + ) + collect_fields_and_fragment_names( + context, + inline_fragment_type, + selection.selection_set, + node_and_defs, + fragment_names, + ) + + +def subfield_conflicts( + conflicts: List[Conflict], response_name: str, node1: FieldNode, node2: FieldNode +) -> Optional[Conflict]: + """Check whether there are conflicts between sub-fields. + + Given a series of Conflicts which occurred between two sub-fields, generate a single + Conflict. + """ + if conflicts: + return ( + (response_name, [conflict[0] for conflict in conflicts]), + list(chain([node1], *[conflict[1] for conflict in conflicts])), + list(chain([node2], *[conflict[2] for conflict in conflicts])), + ) + return None # no conflict + + +class PairSet: + """Pair set + + A way to keep track of pairs of things when the ordering of the pair doesn't matter. + """ + + __slots__ = ("_data",) + + _data: Dict[str, Dict[str, bool]] + + def __init__(self) -> None: + self._data = {} + + def has(self, a: str, b: str, are_mutually_exclusive: bool) -> bool: + key1, key2 = (a, b) if a < b else (b, a) + + map_ = self._data.get(key1) + if map_ is None: + return False + result = map_.get(key2) + if result is None: + return False + + # are_mutually_exclusive being False is a superset of being True, + # hence if we want to know if this PairSet "has" these two with no exclusivity, + # we have to ensure it was added as such. + return True if are_mutually_exclusive else are_mutually_exclusive == result + + def add(self, a: str, b: str, are_mutually_exclusive: bool) -> None: + key1, key2 = (a, b) if a < b else (b, a) + + map_ = self._data.get(key1) + if map_ is None: + self._data[key1] = {key2: are_mutually_exclusive} + else: + map_[key2] = are_mutually_exclusive diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/possible_fragment_spreads.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/possible_fragment_spreads.py new file mode 100644 index 0000000000000000000000000000000000000000..27c2ad9bc29a613df73a34b4ba8dcaf5d5dbaef7 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/possible_fragment_spreads.py @@ -0,0 +1,66 @@ +from typing import cast, Any, Optional + +from ...error import GraphQLError +from ...language import FragmentSpreadNode, InlineFragmentNode +from ...type import GraphQLCompositeType, is_composite_type +from ...utilities import do_types_overlap, type_from_ast +from . import ValidationRule + +__all__ = ["PossibleFragmentSpreadsRule"] + + +class PossibleFragmentSpreadsRule(ValidationRule): + """Possible fragment spread + + A fragment spread is only valid if the type condition could ever possibly be true: + if there is a non-empty intersection of the possible parent types, and possible + types which pass the type condition. + """ + + def enter_inline_fragment(self, node: InlineFragmentNode, *_args: Any) -> None: + context = self.context + frag_type = context.get_type() + parent_type = context.get_parent_type() + if ( + is_composite_type(frag_type) + and is_composite_type(parent_type) + and not do_types_overlap( + context.schema, + cast(GraphQLCompositeType, frag_type), + cast(GraphQLCompositeType, parent_type), + ) + ): + context.report_error( + GraphQLError( + f"Fragment cannot be spread here as objects" + f" of type '{parent_type}' can never be of type '{frag_type}'.", + node, + ) + ) + + def enter_fragment_spread(self, node: FragmentSpreadNode, *_args: Any) -> None: + context = self.context + frag_name = node.name.value + frag_type = self.get_fragment_type(frag_name) + parent_type = context.get_parent_type() + if ( + frag_type + and parent_type + and not do_types_overlap(context.schema, frag_type, parent_type) + ): + context.report_error( + GraphQLError( + f"Fragment '{frag_name}' cannot be spread here as objects" + f" of type '{parent_type}' can never be of type '{frag_type}'.", + node, + ) + ) + + def get_fragment_type(self, name: str) -> Optional[GraphQLCompositeType]: + context = self.context + frag = context.get_fragment(name) + if frag: + type_ = type_from_ast(context.schema, frag.type_condition) + if is_composite_type(type_): + return cast(GraphQLCompositeType, type_) + return None diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/possible_type_extensions.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/possible_type_extensions.py new file mode 100644 index 0000000000000000000000000000000000000000..63c90dbccd9a77713075e3e1cd790c20bcee0538 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/possible_type_extensions.py @@ -0,0 +1,109 @@ +import re +from functools import partial +from typing import Any, Optional + +from ...error import GraphQLError +from ...language import TypeDefinitionNode, TypeExtensionNode +from ...pyutils import did_you_mean, inspect, suggestion_list +from ...type import ( + is_enum_type, + is_input_object_type, + is_interface_type, + is_object_type, + is_scalar_type, + is_union_type, +) +from . import SDLValidationContext, SDLValidationRule + +__all__ = ["PossibleTypeExtensionsRule"] + + +class PossibleTypeExtensionsRule(SDLValidationRule): + """Possible type extension + + A type extension is only valid if the type is defined and has the same kind. + """ + + def __init__(self, context: SDLValidationContext): + super().__init__(context) + self.schema = context.schema + self.defined_types = { + def_.name.value: def_ + for def_ in context.document.definitions + if isinstance(def_, TypeDefinitionNode) + } + + def check_extension(self, node: TypeExtensionNode, *_args: Any) -> None: + schema = self.schema + type_name = node.name.value + def_node = self.defined_types.get(type_name) + existing_type = schema.get_type(type_name) if schema else None + + expected_kind: Optional[str] + if def_node: + expected_kind = def_kind_to_ext_kind(def_node.kind) + elif existing_type: + expected_kind = type_to_ext_kind(existing_type) + else: + expected_kind = None + + if expected_kind: + if expected_kind != node.kind: + kind_str = extension_kind_to_type_name(node.kind) + self.report_error( + GraphQLError( + f"Cannot extend non-{kind_str} type '{type_name}'.", + [def_node, node] if def_node else node, + ) + ) + else: + all_type_names = list(self.defined_types) + if self.schema: + all_type_names.extend(self.schema.type_map) + suggested_types = suggestion_list(type_name, all_type_names) + self.report_error( + GraphQLError( + f"Cannot extend type '{type_name}' because it is not defined." + + did_you_mean(suggested_types), + node.name, + ) + ) + + enter_scalar_type_extension = enter_object_type_extension = check_extension + enter_interface_type_extension = enter_union_type_extension = check_extension + enter_enum_type_extension = enter_input_object_type_extension = check_extension + + +def_kind_to_ext_kind = partial(re.compile("(?<=_type_)definition$").sub, "extension") + + +def type_to_ext_kind(type_: Any) -> str: + if is_scalar_type(type_): + return "scalar_type_extension" + if is_object_type(type_): + return "object_type_extension" + if is_interface_type(type_): + return "interface_type_extension" + if is_union_type(type_): + return "union_type_extension" + if is_enum_type(type_): + return "enum_type_extension" + if is_input_object_type(type_): + return "input_object_type_extension" + + # Not reachable. All possible types have been considered. + raise TypeError(f"Unexpected type: {inspect(type_)}.") + + +_type_names_for_extension_kinds = { + "scalar_type_extension": "scalar", + "object_type_extension": "object", + "interface_type_extension": "interface", + "union_type_extension": "union", + "enum_type_extension": "enum", + "input_object_type_extension": "input object", +} + + +def extension_kind_to_type_name(kind: str) -> str: + return _type_names_for_extension_kinds.get(kind, "unknown type") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/provided_required_arguments.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/provided_required_arguments.py new file mode 100644 index 0000000000000000000000000000000000000000..99e23cea737768f8f44a666b43421e45f4be1148 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/provided_required_arguments.py @@ -0,0 +1,119 @@ +from typing import cast, Any, Dict, List, Union + +from ...error import GraphQLError +from ...language import ( + DirectiveDefinitionNode, + DirectiveNode, + FieldNode, + InputValueDefinitionNode, + NonNullTypeNode, + TypeNode, + VisitorAction, + SKIP, + print_ast, +) +from ...type import GraphQLArgument, is_required_argument, is_type, specified_directives +from . import ASTValidationRule, SDLValidationContext, ValidationContext + +__all__ = ["ProvidedRequiredArgumentsRule", "ProvidedRequiredArgumentsOnDirectivesRule"] + + +class ProvidedRequiredArgumentsOnDirectivesRule(ASTValidationRule): + """Provided required arguments on directives + + A directive is only valid if all required (non-null without a default value) + arguments have been provided. + + For internal use only. + """ + + context: Union[ValidationContext, SDLValidationContext] + + def __init__(self, context: Union[ValidationContext, SDLValidationContext]): + super().__init__(context) + required_args_map: Dict[ + str, Dict[str, Union[GraphQLArgument, InputValueDefinitionNode]] + ] = {} + + schema = context.schema + defined_directives = schema.directives if schema else specified_directives + for directive in cast(List, defined_directives): + required_args_map[directive.name] = { + name: arg + for name, arg in directive.args.items() + if is_required_argument(arg) + } + + ast_definitions = context.document.definitions + for def_ in ast_definitions: + if isinstance(def_, DirectiveDefinitionNode): + required_args_map[def_.name.value] = { + arg.name.value: arg + for arg in filter(is_required_argument_node, def_.arguments or ()) + } + + self.required_args_map = required_args_map + + def leave_directive(self, directive_node: DirectiveNode, *_args: Any) -> None: + # Validate on leave to allow for deeper errors to appear first. + directive_name = directive_node.name.value + required_args = self.required_args_map.get(directive_name) + if required_args: + + arg_nodes = directive_node.arguments or () + arg_node_set = {arg.name.value for arg in arg_nodes} + for arg_name in required_args: + if arg_name not in arg_node_set: + arg_type = required_args[arg_name].type + arg_type_str = ( + str(arg_type) + if is_type(arg_type) + else print_ast(cast(TypeNode, arg_type)) + ) + self.report_error( + GraphQLError( + f"Directive '@{directive_name}' argument '{arg_name}'" + f" of type '{arg_type_str}' is required," + " but it was not provided.", + directive_node, + ) + ) + + +class ProvidedRequiredArgumentsRule(ProvidedRequiredArgumentsOnDirectivesRule): + """Provided required arguments + + A field or directive is only valid if all required (non-null without a default + value) field arguments have been provided. + """ + + context: ValidationContext + + def __init__(self, context: ValidationContext): + super().__init__(context) + + def leave_field(self, field_node: FieldNode, *_args: Any) -> VisitorAction: + # Validate on leave to allow for deeper errors to appear first. + field_def = self.context.get_field_def() + if not field_def: + return SKIP + arg_nodes = field_node.arguments or () + + arg_node_map = {arg.name.value: arg for arg in arg_nodes} + for arg_name, arg_def in field_def.args.items(): + arg_node = arg_node_map.get(arg_name) + if not arg_node and is_required_argument(arg_def): + self.report_error( + GraphQLError( + f"Field '{field_node.name.value}' argument '{arg_name}'" + f" of type '{arg_def.type}' is required," + " but it was not provided.", + field_node, + ) + ) + + return None + + +def is_required_argument_node(arg: InputValueDefinitionNode) -> bool: + return isinstance(arg.type, NonNullTypeNode) and arg.default_value is None diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/scalar_leafs.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/scalar_leafs.py new file mode 100644 index 0000000000000000000000000000000000000000..174df4e424e5cfd8b8ec810441467299d8bcbd17 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/scalar_leafs.py @@ -0,0 +1,41 @@ +from typing import Any + +from ...error import GraphQLError +from ...language import FieldNode +from ...type import get_named_type, is_leaf_type +from . import ValidationRule + +__all__ = ["ScalarLeafsRule"] + + +class ScalarLeafsRule(ValidationRule): + """Scalar leafs + + A GraphQL document is valid only if all leaf fields (fields without sub selections) + are of scalar or enum types. + """ + + def enter_field(self, node: FieldNode, *_args: Any) -> None: + type_ = self.context.get_type() + if type_: + selection_set = node.selection_set + if is_leaf_type(get_named_type(type_)): + if selection_set: + field_name = node.name.value + self.report_error( + GraphQLError( + f"Field '{field_name}' must not have a selection" + f" since type '{type_}' has no subfields.", + selection_set, + ) + ) + elif not selection_set: + field_name = node.name.value + self.report_error( + GraphQLError( + f"Field '{field_name}' of type '{type_}'" + " must have a selection of subfields." + f" Did you mean '{field_name} {{ ... }}'?", + node, + ) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/single_field_subscriptions.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/single_field_subscriptions.py new file mode 100644 index 0000000000000000000000000000000000000000..53a7218f26f85eb43538b3f8632e8d7d05196c49 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/single_field_subscriptions.py @@ -0,0 +1,85 @@ +from typing import Any, Dict, cast + +from ...error import GraphQLError +from ...execution.collect_fields import collect_fields +from ...language import ( + FieldNode, + FragmentDefinitionNode, + OperationDefinitionNode, + OperationType, +) +from . import ValidationRule + +__all__ = ["SingleFieldSubscriptionsRule"] + + +class SingleFieldSubscriptionsRule(ValidationRule): + """Subscriptions must only include a single non-introspection field. + + A GraphQL subscription is valid only if it contains a single root field and + that root field is not an introspection field. + + See https://spec.graphql.org/draft/#sec-Single-root-field + """ + + def enter_operation_definition( + self, node: OperationDefinitionNode, *_args: Any + ) -> None: + if node.operation != OperationType.SUBSCRIPTION: + return + schema = self.context.schema + subscription_type = schema.subscription_type + if subscription_type: + operation_name = node.name.value if node.name else None + variable_values: Dict[str, Any] = {} + document = self.context.document + fragments: Dict[str, FragmentDefinitionNode] = { + definition.name.value: definition + for definition in document.definitions + if isinstance(definition, FragmentDefinitionNode) + } + fields = collect_fields( + schema, + fragments, + variable_values, + subscription_type, + node.selection_set, + ) + if len(fields) > 1: + field_selection_lists = list(fields.values()) + extra_field_selection_lists = field_selection_lists[1:] + extra_field_selection = [ + field + for fields in extra_field_selection_lists + for field in ( + fields + if isinstance(fields, list) + else [cast(FieldNode, fields)] + ) + ] + self.report_error( + GraphQLError( + ( + "Anonymous Subscription" + if operation_name is None + else f"Subscription '{operation_name}'" + ) + + " must select only one top level field.", + extra_field_selection, + ) + ) + for field_nodes in fields.values(): + field = field_nodes[0] + field_name = field.name.value + if field_name.startswith("__"): + self.report_error( + GraphQLError( + ( + "Anonymous Subscription" + if operation_name is None + else f"Subscription '{operation_name}'" + ) + + " must not select an introspection top level field.", + field_nodes, + ) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_argument_definition_names.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_argument_definition_names.py new file mode 100644 index 0000000000000000000000000000000000000000..ba0e13acdd44feb700df859173072b65ba3898c2 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_argument_definition_names.py @@ -0,0 +1,83 @@ +from operator import attrgetter +from typing import Any, Collection + +from ...error import GraphQLError +from ...language import ( + DirectiveDefinitionNode, + FieldDefinitionNode, + InputValueDefinitionNode, + InterfaceTypeDefinitionNode, + InterfaceTypeExtensionNode, + NameNode, + ObjectTypeDefinitionNode, + ObjectTypeExtensionNode, + VisitorAction, + SKIP, +) +from ...pyutils import group_by +from . import SDLValidationRule + +__all__ = ["UniqueArgumentDefinitionNamesRule"] + + +class UniqueArgumentDefinitionNamesRule(SDLValidationRule): + """Unique argument definition names + + A GraphQL Object or Interface type is only valid if all its fields have uniquely + named arguments. + A GraphQL Directive is only valid if all its arguments are uniquely named. + + See https://spec.graphql.org/draft/#sec-Argument-Uniqueness + """ + + def enter_directive_definition( + self, node: DirectiveDefinitionNode, *_args: Any + ) -> VisitorAction: + return self.check_arg_uniqueness(f"@{node.name.value}", node.arguments) + + def enter_interface_type_definition( + self, node: InterfaceTypeDefinitionNode, *_args: Any + ) -> VisitorAction: + return self.check_arg_uniqueness_per_field(node.name, node.fields) + + def enter_interface_type_extension( + self, node: InterfaceTypeExtensionNode, *_args: Any + ) -> VisitorAction: + return self.check_arg_uniqueness_per_field(node.name, node.fields) + + def enter_object_type_definition( + self, node: ObjectTypeDefinitionNode, *_args: Any + ) -> VisitorAction: + return self.check_arg_uniqueness_per_field(node.name, node.fields) + + def enter_object_type_extension( + self, node: ObjectTypeExtensionNode, *_args: Any + ) -> VisitorAction: + return self.check_arg_uniqueness_per_field(node.name, node.fields) + + def check_arg_uniqueness_per_field( + self, + name: NameNode, + fields: Collection[FieldDefinitionNode], + ) -> VisitorAction: + type_name = name.value + for field_def in fields: + field_name = field_def.name.value + argument_nodes = field_def.arguments or () + self.check_arg_uniqueness(f"{type_name}.{field_name}", argument_nodes) + return SKIP + + def check_arg_uniqueness( + self, parent_name: str, argument_nodes: Collection[InputValueDefinitionNode] + ) -> VisitorAction: + seen_args = group_by(argument_nodes, attrgetter("name.value")) + for arg_name, arg_nodes in seen_args.items(): + if len(arg_nodes) > 1: + self.report_error( + GraphQLError( + f"Argument '{parent_name}({arg_name}:)'" + " can only be defined once.", + [node.name for node in arg_nodes], + ) + ) + return SKIP diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_argument_names.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_argument_names.py new file mode 100644 index 0000000000000000000000000000000000000000..9afe1c09a0f68aed2e54f76eeec1c02c68b659ec --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_argument_names.py @@ -0,0 +1,37 @@ +from operator import attrgetter +from typing import Any, Collection + +from ...error import GraphQLError +from ...language import ArgumentNode, DirectiveNode, FieldNode +from ...pyutils import group_by +from . import ASTValidationRule + +__all__ = ["UniqueArgumentNamesRule"] + + +class UniqueArgumentNamesRule(ASTValidationRule): + """Unique argument names + + A GraphQL field or directive is only valid if all supplied arguments are uniquely + named. + + See https://spec.graphql.org/draft/#sec-Argument-Names + """ + + def enter_field(self, node: FieldNode, *_args: Any) -> None: + self.check_arg_uniqueness(node.arguments) + + def enter_directive(self, node: DirectiveNode, *args: Any) -> None: + self.check_arg_uniqueness(node.arguments) + + def check_arg_uniqueness(self, argument_nodes: Collection[ArgumentNode]) -> None: + seen_args = group_by(argument_nodes, attrgetter("name.value")) + + for arg_name, arg_nodes in seen_args.items(): + if len(arg_nodes) > 1: + self.report_error( + GraphQLError( + f"There can be only one argument named '{arg_name}'.", + [node.name for node in arg_nodes], + ) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_directive_names.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_directive_names.py new file mode 100644 index 0000000000000000000000000000000000000000..b25dafe16749d2d1ea45c05192197025012da0f0 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_directive_names.py @@ -0,0 +1,46 @@ +from typing import Any, Dict + +from ...error import GraphQLError +from ...language import DirectiveDefinitionNode, NameNode, VisitorAction, SKIP +from . import SDLValidationContext, SDLValidationRule + +__all__ = ["UniqueDirectiveNamesRule"] + + +class UniqueDirectiveNamesRule(SDLValidationRule): + """Unique directive names + + A GraphQL document is only valid if all defined directives have unique names. + """ + + def __init__(self, context: SDLValidationContext): + super().__init__(context) + self.known_directive_names: Dict[str, NameNode] = {} + self.schema = context.schema + + def enter_directive_definition( + self, node: DirectiveDefinitionNode, *_args: Any + ) -> VisitorAction: + directive_name = node.name.value + + if self.schema and self.schema.get_directive(directive_name): + self.report_error( + GraphQLError( + f"Directive '@{directive_name}' already exists in the schema." + " It cannot be redefined.", + node.name, + ) + ) + else: + if directive_name in self.known_directive_names: + self.report_error( + GraphQLError( + f"There can be only one directive named '@{directive_name}'.", + [self.known_directive_names[directive_name], node.name], + ) + ) + else: + self.known_directive_names[directive_name] = node.name + return SKIP + + return None diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_directives_per_location.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_directives_per_location.py new file mode 100644 index 0000000000000000000000000000000000000000..98e592ace149da2ea29690438d87f3fb789469dc --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_directives_per_location.py @@ -0,0 +1,85 @@ +from collections import defaultdict +from typing import Any, Dict, List, Union, cast + +from ...error import GraphQLError +from ...language import ( + DirectiveDefinitionNode, + DirectiveNode, + Node, + SchemaDefinitionNode, + SchemaExtensionNode, + TypeDefinitionNode, + TypeExtensionNode, + is_type_definition_node, + is_type_extension_node, +) +from ...type import specified_directives +from . import ASTValidationRule, SDLValidationContext, ValidationContext + +__all__ = ["UniqueDirectivesPerLocationRule"] + + +class UniqueDirectivesPerLocationRule(ASTValidationRule): + """Unique directive names per location + + A GraphQL document is only valid if all non-repeatable directives at a given + location are uniquely named. + + See https://spec.graphql.org/draft/#sec-Directives-Are-Unique-Per-Location + """ + + context: Union[ValidationContext, SDLValidationContext] + + def __init__(self, context: Union[ValidationContext, SDLValidationContext]): + super().__init__(context) + unique_directive_map: Dict[str, bool] = {} + + schema = context.schema + defined_directives = ( + schema.directives if schema else cast(List, specified_directives) + ) + for directive in defined_directives: + unique_directive_map[directive.name] = not directive.is_repeatable + + ast_definitions = context.document.definitions + for def_ in ast_definitions: + if isinstance(def_, DirectiveDefinitionNode): + unique_directive_map[def_.name.value] = not def_.repeatable + self.unique_directive_map = unique_directive_map + + self.schema_directives: Dict[str, DirectiveNode] = {} + self.type_directives_map: Dict[str, Dict[str, DirectiveNode]] = defaultdict( + dict + ) + + # Many different AST nodes may contain directives. Rather than listing them all, + # just listen for entering any node, and check to see if it defines any directives. + def enter(self, node: Node, *_args: Any) -> None: + directives = getattr(node, "directives", None) + if not directives: + return + directives = cast(List[DirectiveNode], directives) + + if isinstance(node, (SchemaDefinitionNode, SchemaExtensionNode)): + seen_directives = self.schema_directives + elif is_type_definition_node(node) or is_type_extension_node(node): + node = cast(Union[TypeDefinitionNode, TypeExtensionNode], node) + type_name = node.name.value + seen_directives = self.type_directives_map[type_name] + else: + seen_directives = {} + + for directive in directives: + directive_name = directive.name.value + + if self.unique_directive_map.get(directive_name): + if directive_name in seen_directives: + self.report_error( + GraphQLError( + f"The directive '@{directive_name}'" + " can only be used once at this location.", + [seen_directives[directive_name], directive], + ) + ) + else: + seen_directives[directive_name] = directive diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_enum_value_names.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_enum_value_names.py new file mode 100644 index 0000000000000000000000000000000000000000..9be41e8ca5b48636342bafb501c88733c938a846 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_enum_value_names.py @@ -0,0 +1,61 @@ +from collections import defaultdict +from typing import cast, Any, Dict + +from ...error import GraphQLError +from ...language import NameNode, EnumTypeDefinitionNode, VisitorAction, SKIP +from ...type import is_enum_type, GraphQLEnumType +from . import SDLValidationContext, SDLValidationRule + +__all__ = ["UniqueEnumValueNamesRule"] + + +class UniqueEnumValueNamesRule(SDLValidationRule): + """Unique enum value names + + A GraphQL enum type is only valid if all its values are uniquely named. + """ + + def __init__(self, context: SDLValidationContext): + super().__init__(context) + schema = context.schema + self.existing_type_map = schema.type_map if schema else {} + self.known_value_names: Dict[str, Dict[str, NameNode]] = defaultdict(dict) + + def check_value_uniqueness( + self, node: EnumTypeDefinitionNode, *_args: Any + ) -> VisitorAction: + existing_type_map = self.existing_type_map + type_name = node.name.value + value_names = self.known_value_names[type_name] + + for value_def in node.values or []: + value_name = value_def.name.value + + existing_type = existing_type_map.get(type_name) + if ( + is_enum_type(existing_type) + and value_name in cast(GraphQLEnumType, existing_type).values + ): + self.report_error( + GraphQLError( + f"Enum value '{type_name}.{value_name}'" + " already exists in the schema." + " It cannot also be defined in this type extension.", + value_def.name, + ) + ) + elif value_name in value_names: + self.report_error( + GraphQLError( + f"Enum value '{type_name}.{value_name}'" + " can only be defined once.", + [value_names[value_name], value_def.name], + ) + ) + else: + value_names[value_name] = value_def.name + + return SKIP + + enter_enum_type_definition = check_value_uniqueness + enter_enum_type_extension = check_value_uniqueness diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_field_definition_names.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_field_definition_names.py new file mode 100644 index 0000000000000000000000000000000000000000..fe29d6d5b354beeb9c756c49a3bdf885a5281286 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_field_definition_names.py @@ -0,0 +1,67 @@ +from collections import defaultdict +from typing import Any, Dict + +from ...error import GraphQLError +from ...language import NameNode, ObjectTypeDefinitionNode, VisitorAction, SKIP +from ...type import is_object_type, is_interface_type, is_input_object_type +from . import SDLValidationContext, SDLValidationRule + +__all__ = ["UniqueFieldDefinitionNamesRule"] + + +class UniqueFieldDefinitionNamesRule(SDLValidationRule): + """Unique field definition names + + A GraphQL complex type is only valid if all its fields are uniquely named. + """ + + def __init__(self, context: SDLValidationContext): + super().__init__(context) + schema = context.schema + self.existing_type_map = schema.type_map if schema else {} + self.known_field_names: Dict[str, Dict[str, NameNode]] = defaultdict(dict) + + def check_field_uniqueness( + self, node: ObjectTypeDefinitionNode, *_args: Any + ) -> VisitorAction: + existing_type_map = self.existing_type_map + type_name = node.name.value + field_names = self.known_field_names[type_name] + + for field_def in node.fields or []: + field_name = field_def.name.value + + if has_field(existing_type_map.get(type_name), field_name): + self.report_error( + GraphQLError( + f"Field '{type_name}.{field_name}'" + " already exists in the schema." + " It cannot also be defined in this type extension.", + field_def.name, + ) + ) + elif field_name in field_names: + self.report_error( + GraphQLError( + f"Field '{type_name}.{field_name}'" + " can only be defined once.", + [field_names[field_name], field_def.name], + ) + ) + else: + field_names[field_name] = field_def.name + + return SKIP + + enter_input_object_type_definition = check_field_uniqueness + enter_input_object_type_extension = check_field_uniqueness + enter_interface_type_definition = check_field_uniqueness + enter_interface_type_extension = check_field_uniqueness + enter_object_type_definition = check_field_uniqueness + enter_object_type_extension = check_field_uniqueness + + +def has_field(type_: Any, field_name: str) -> bool: + if is_object_type(type_) or is_interface_type(type_) or is_input_object_type(type_): + return field_name in type_.fields + return False diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_fragment_names.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_fragment_names.py new file mode 100644 index 0000000000000000000000000000000000000000..c951fc75641bcf2e746b2ef0a22d491a92fa87bd --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_fragment_names.py @@ -0,0 +1,40 @@ +from typing import Any, Dict + +from ...error import GraphQLError +from ...language import NameNode, FragmentDefinitionNode, VisitorAction, SKIP +from . import ASTValidationContext, ASTValidationRule + +__all__ = ["UniqueFragmentNamesRule"] + + +class UniqueFragmentNamesRule(ASTValidationRule): + """Unique fragment names + + A GraphQL document is only valid if all defined fragments have unique names. + + See https://spec.graphql.org/draft/#sec-Fragment-Name-Uniqueness + """ + + def __init__(self, context: ASTValidationContext): + super().__init__(context) + self.known_fragment_names: Dict[str, NameNode] = {} + + @staticmethod + def enter_operation_definition(*_args: Any) -> VisitorAction: + return SKIP + + def enter_fragment_definition( + self, node: FragmentDefinitionNode, *_args: Any + ) -> VisitorAction: + known_fragment_names = self.known_fragment_names + fragment_name = node.name.value + if fragment_name in known_fragment_names: + self.report_error( + GraphQLError( + f"There can be only one fragment named '{fragment_name}'.", + [known_fragment_names[fragment_name], node.name], + ) + ) + else: + known_fragment_names[fragment_name] = node.name + return SKIP diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_input_field_names.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_input_field_names.py new file mode 100644 index 0000000000000000000000000000000000000000..76739a7537d199c7c7040c168b03d3bc595a97d1 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_input_field_names.py @@ -0,0 +1,42 @@ +from typing import Any, Dict, List + +from ...error import GraphQLError +from ...language import NameNode, ObjectFieldNode +from . import ASTValidationContext, ASTValidationRule + +__all__ = ["UniqueInputFieldNamesRule"] + + +class UniqueInputFieldNamesRule(ASTValidationRule): + """Unique input field names + + A GraphQL input object value is only valid if all supplied fields are uniquely + named. + + See https://spec.graphql.org/draft/#sec-Input-Object-Field-Uniqueness + """ + + def __init__(self, context: ASTValidationContext): + super().__init__(context) + self.known_names_stack: List[Dict[str, NameNode]] = [] + self.known_names: Dict[str, NameNode] = {} + + def enter_object_value(self, *_args: Any) -> None: + self.known_names_stack.append(self.known_names) + self.known_names = {} + + def leave_object_value(self, *_args: Any) -> None: + self.known_names = self.known_names_stack.pop() + + def enter_object_field(self, node: ObjectFieldNode, *_args: Any) -> None: + known_names = self.known_names + field_name = node.name.value + if field_name in known_names: + self.report_error( + GraphQLError( + f"There can be only one input field named '{field_name}'.", + [known_names[field_name], node.name], + ) + ) + else: + known_names[field_name] = node.name diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_operation_names.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_operation_names.py new file mode 100644 index 0000000000000000000000000000000000000000..346ebf91a8611e45745d45e7b4e11ff40fbae92b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_operation_names.py @@ -0,0 +1,42 @@ +from typing import Any, Dict + +from ...error import GraphQLError +from ...language import NameNode, OperationDefinitionNode, VisitorAction, SKIP +from . import ASTValidationContext, ASTValidationRule + +__all__ = ["UniqueOperationNamesRule"] + + +class UniqueOperationNamesRule(ASTValidationRule): + """Unique operation names + + A GraphQL document is only valid if all defined operations have unique names. + + See https://spec.graphql.org/draft/#sec-Operation-Name-Uniqueness + """ + + def __init__(self, context: ASTValidationContext): + super().__init__(context) + self.known_operation_names: Dict[str, NameNode] = {} + + def enter_operation_definition( + self, node: OperationDefinitionNode, *_args: Any + ) -> VisitorAction: + operation_name = node.name + if operation_name: + known_operation_names = self.known_operation_names + if operation_name.value in known_operation_names: + self.report_error( + GraphQLError( + "There can be only one operation" + f" named '{operation_name.value}'.", + [known_operation_names[operation_name.value], operation_name], + ) + ) + else: + known_operation_names[operation_name.value] = operation_name + return SKIP + + @staticmethod + def enter_fragment_definition(*_args: Any) -> VisitorAction: + return SKIP diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_operation_types.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_operation_types.py new file mode 100644 index 0000000000000000000000000000000000000000..190963f7de56c7ba29e7f3343220c011b2b9397b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_operation_types.py @@ -0,0 +1,69 @@ +from typing import Any, Dict, Optional, Union + +from ...error import GraphQLError +from ...language import ( + OperationTypeDefinitionNode, + OperationType, + SchemaDefinitionNode, + SchemaExtensionNode, + VisitorAction, + SKIP, +) +from ...type import GraphQLObjectType +from . import SDLValidationContext, SDLValidationRule + +__all__ = ["UniqueOperationTypesRule"] + + +class UniqueOperationTypesRule(SDLValidationRule): + """Unique operation types + + A GraphQL document is only valid if it has only one type per operation. + """ + + def __init__(self, context: SDLValidationContext): + super().__init__(context) + schema = context.schema + self.defined_operation_types: Dict[ + OperationType, OperationTypeDefinitionNode + ] = {} + self.existing_operation_types: Dict[ + OperationType, Optional[GraphQLObjectType] + ] = ( + { + OperationType.QUERY: schema.query_type, + OperationType.MUTATION: schema.mutation_type, + OperationType.SUBSCRIPTION: schema.subscription_type, + } + if schema + else {} + ) + self.schema = schema + + def check_operation_types( + self, node: Union[SchemaDefinitionNode, SchemaExtensionNode], *_args: Any + ) -> VisitorAction: + for operation_type in node.operation_types or []: + operation = operation_type.operation + already_defined_operation_type = self.defined_operation_types.get(operation) + + if self.existing_operation_types.get(operation): + self.report_error( + GraphQLError( + f"Type for {operation.value} already defined in the schema." + " It cannot be redefined.", + operation_type, + ) + ) + elif already_defined_operation_type: + self.report_error( + GraphQLError( + f"There can be only one {operation.value} type in schema.", + [already_defined_operation_type, operation_type], + ) + ) + else: + self.defined_operation_types[operation] = operation_type + return SKIP + + enter_schema_definition = enter_schema_extension = check_operation_types diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_type_names.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_type_names.py new file mode 100644 index 0000000000000000000000000000000000000000..7082a0fb8410de32518a92d6869a883a913ca213 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_type_names.py @@ -0,0 +1,48 @@ +from typing import Any, Dict + +from ...error import GraphQLError +from ...language import NameNode, TypeDefinitionNode, VisitorAction, SKIP +from . import SDLValidationContext, SDLValidationRule + +__all__ = ["UniqueTypeNamesRule"] + + +class UniqueTypeNamesRule(SDLValidationRule): + """Unique type names + + A GraphQL document is only valid if all defined types have unique names. + """ + + def __init__(self, context: SDLValidationContext): + super().__init__(context) + self.known_type_names: Dict[str, NameNode] = {} + self.schema = context.schema + + def check_type_name(self, node: TypeDefinitionNode, *_args: Any) -> VisitorAction: + type_name = node.name.value + + if self.schema and self.schema.get_type(type_name): + self.report_error( + GraphQLError( + f"Type '{type_name}' already exists in the schema." + " It cannot also be defined in this type definition.", + node.name, + ) + ) + else: + if type_name in self.known_type_names: + self.report_error( + GraphQLError( + f"There can be only one type named '{type_name}'.", + [self.known_type_names[type_name], node.name], + ) + ) + else: + self.known_type_names[type_name] = node.name + return SKIP + + return None + + enter_scalar_type_definition = enter_object_type_definition = check_type_name + enter_interface_type_definition = enter_union_type_definition = check_type_name + enter_enum_type_definition = enter_input_object_type_definition = check_type_name diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_variable_names.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_variable_names.py new file mode 100644 index 0000000000000000000000000000000000000000..4111cb32e0c7b08e3d9d83de8d890ad843c48d3d --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/unique_variable_names.py @@ -0,0 +1,34 @@ +from operator import attrgetter +from typing import Any + +from ...error import GraphQLError +from ...language import OperationDefinitionNode +from ...pyutils import group_by +from . import ASTValidationRule + +__all__ = ["UniqueVariableNamesRule"] + + +class UniqueVariableNamesRule(ASTValidationRule): + """Unique variable names + + A GraphQL operation is only valid if all its variables are uniquely named. + """ + + def enter_operation_definition( + self, node: OperationDefinitionNode, *_args: Any + ) -> None: + variable_definitions = node.variable_definitions + + seen_variable_definitions = group_by( + variable_definitions, attrgetter("variable.name.value") + ) + + for variable_name, variable_nodes in seen_variable_definitions.items(): + if len(variable_nodes) > 1: + self.report_error( + GraphQLError( + f"There can be only one variable named '${variable_name}'.", + [node.variable.name for node in variable_nodes], + ) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/values_of_correct_type.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/values_of_correct_type.py new file mode 100644 index 0000000000000000000000000000000000000000..44dc6a0d293ce5f770dd6128a4be1a09f409afdb --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/values_of_correct_type.py @@ -0,0 +1,163 @@ +from typing import cast, Any + +from ...error import GraphQLError +from ...language import ( + BooleanValueNode, + EnumValueNode, + FloatValueNode, + IntValueNode, + NullValueNode, + ListValueNode, + ObjectFieldNode, + ObjectValueNode, + StringValueNode, + ValueNode, + VisitorAction, + SKIP, + print_ast, +) +from ...pyutils import did_you_mean, suggestion_list, Undefined +from ...type import ( + GraphQLInputObjectType, + GraphQLScalarType, + get_named_type, + get_nullable_type, + is_input_object_type, + is_leaf_type, + is_list_type, + is_non_null_type, + is_required_input_field, +) +from . import ValidationRule + +__all__ = ["ValuesOfCorrectTypeRule"] + + +class ValuesOfCorrectTypeRule(ValidationRule): + """Value literals of correct type + + A GraphQL document is only valid if all value literals are of the type expected at + their position. + + See https://spec.graphql.org/draft/#sec-Values-of-Correct-Type + """ + + def enter_list_value(self, node: ListValueNode, *_args: Any) -> VisitorAction: + # Note: TypeInfo will traverse into a list's item type, so look to the parent + # input type to check if it is a list. + type_ = get_nullable_type(self.context.get_parent_input_type()) # type: ignore + if not is_list_type(type_): + self.is_valid_value_node(node) + return SKIP # Don't traverse further. + return None + + def enter_object_value(self, node: ObjectValueNode, *_args: Any) -> VisitorAction: + type_ = get_named_type(self.context.get_input_type()) + if not is_input_object_type(type_): + self.is_valid_value_node(node) + return SKIP # Don't traverse further. + type_ = cast(GraphQLInputObjectType, type_) + # Ensure every required field exists. + field_node_map = {field.name.value: field for field in node.fields} + for field_name, field_def in type_.fields.items(): + field_node = field_node_map.get(field_name) + if not field_node and is_required_input_field(field_def): + field_type = field_def.type + self.report_error( + GraphQLError( + f"Field '{type_.name}.{field_name}' of required type" + f" '{field_type}' was not provided.", + node, + ) + ) + return None + + def enter_object_field(self, node: ObjectFieldNode, *_args: Any) -> None: + parent_type = get_named_type(self.context.get_parent_input_type()) + field_type = self.context.get_input_type() + if not field_type and is_input_object_type(parent_type): + parent_type = cast(GraphQLInputObjectType, parent_type) + suggestions = suggestion_list(node.name.value, list(parent_type.fields)) + self.report_error( + GraphQLError( + f"Field '{node.name.value}'" + f" is not defined by type '{parent_type.name}'." + + did_you_mean(suggestions), + node, + ) + ) + + def enter_null_value(self, node: NullValueNode, *_args: Any) -> None: + type_ = self.context.get_input_type() + if is_non_null_type(type_): + self.report_error( + GraphQLError( + f"Expected value of type '{type_}', found {print_ast(node)}.", node + ) + ) + + def enter_enum_value(self, node: EnumValueNode, *_args: Any) -> None: + self.is_valid_value_node(node) + + def enter_int_value(self, node: IntValueNode, *_args: Any) -> None: + self.is_valid_value_node(node) + + def enter_float_value(self, node: FloatValueNode, *_args: Any) -> None: + self.is_valid_value_node(node) + + def enter_string_value(self, node: StringValueNode, *_args: Any) -> None: + self.is_valid_value_node(node) + + def enter_boolean_value(self, node: BooleanValueNode, *_args: Any) -> None: + self.is_valid_value_node(node) + + def is_valid_value_node(self, node: ValueNode) -> None: + """Check whether this is a valid value node. + + Any value literal may be a valid representation of a Scalar, depending on that + scalar type. + """ + # Report any error at the full type expected by the location. + location_type = self.context.get_input_type() + if not location_type: + return + + type_ = get_named_type(location_type) + + if not is_leaf_type(type_): + self.report_error( + GraphQLError( + f"Expected value of type '{location_type}'," + f" found {print_ast(node)}.", + node, + ) + ) + return + + # Scalars determine if a literal value is valid via `parse_literal()` which may + # throw or return an invalid value to indicate failure. + type_ = cast(GraphQLScalarType, type_) + try: + parse_result = type_.parse_literal(node) + if parse_result is Undefined: + self.report_error( + GraphQLError( + f"Expected value of type '{location_type}'," + f" found {print_ast(node)}.", + node, + ) + ) + except GraphQLError as error: + self.report_error(error) + except Exception as error: + self.report_error( + GraphQLError( + f"Expected value of type '{location_type}'," + f" found {print_ast(node)}; {error}", + node, + # Ensure a reference to the original error is maintained. + original_error=error, + ) + ) + + return diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/variables_are_input_types.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/variables_are_input_types.py new file mode 100644 index 0000000000000000000000000000000000000000..449ad290fdc1089f878074da21b892186cdabf47 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/variables_are_input_types.py @@ -0,0 +1,36 @@ +from typing import Any + +from ...error import GraphQLError +from ...language import VariableDefinitionNode, print_ast +from ...type import is_input_type +from ...utilities import type_from_ast +from . import ValidationRule + +__all__ = ["VariablesAreInputTypesRule"] + + +class VariablesAreInputTypesRule(ValidationRule): + """Variables are input types + + A GraphQL operation is only valid if all the variables it defines are of input types + (scalar, enum, or input object). + + See https://spec.graphql.org/draft/#sec-Variables-Are-Input-Types + """ + + def enter_variable_definition( + self, node: VariableDefinitionNode, *_args: Any + ) -> None: + type_ = type_from_ast(self.context.schema, node.type) + + # If the variable type is not an input type, return an error. + if type_ is not None and not is_input_type(type_): + variable_name = node.variable.name.value + type_name = print_ast(node.type) + self.report_error( + GraphQLError( + f"Variable '${variable_name}'" + f" cannot be non-input type '{type_name}'.", + node.type, + ) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/variables_in_allowed_position.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/variables_in_allowed_position.py new file mode 100644 index 0000000000000000000000000000000000000000..49d3b4166587fb13f9495ecd97f5f35fab9ef838 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/rules/variables_in_allowed_position.py @@ -0,0 +1,93 @@ +from typing import Any, Dict, Optional, cast + +from ...error import GraphQLError +from ...language import ( + NullValueNode, + OperationDefinitionNode, + ValueNode, + VariableDefinitionNode, +) +from ...pyutils import Undefined +from ...type import GraphQLNonNull, GraphQLSchema, GraphQLType, is_non_null_type +from ...utilities import type_from_ast, is_type_sub_type_of +from . import ValidationContext, ValidationRule + +__all__ = ["VariablesInAllowedPositionRule"] + + +class VariablesInAllowedPositionRule(ValidationRule): + """Variables in allowed position + + Variable usages must be compatible with the arguments they are passed to. + + See https://spec.graphql.org/draft/#sec-All-Variable-Usages-are-Allowed + """ + + def __init__(self, context: ValidationContext): + super().__init__(context) + self.var_def_map: Dict[str, Any] = {} + + def enter_operation_definition(self, *_args: Any) -> None: + self.var_def_map.clear() + + def leave_operation_definition( + self, operation: OperationDefinitionNode, *_args: Any + ) -> None: + var_def_map = self.var_def_map + usages = self.context.get_recursive_variable_usages(operation) + + for usage in usages: + node, type_ = usage.node, usage.type + default_value = usage.default_value + var_name = node.name.value + var_def = var_def_map.get(var_name) + if var_def and type_: + # A var type is allowed if it is the same or more strict (e.g. is a + # subtype of) than the expected type. It can be more strict if the + # variable type is non-null when the expected type is nullable. If both + # are list types, the variable item type can be more strict than the + # expected item type (contravariant). + schema = self.context.schema + var_type = type_from_ast(schema, var_def.type) + if var_type and not allowed_variable_usage( + schema, var_type, var_def.default_value, type_, default_value + ): + self.report_error( + GraphQLError( + f"Variable '${var_name}' of type '{var_type}' used" + f" in position expecting type '{type_}'.", + [var_def, node], + ) + ) + + def enter_variable_definition( + self, node: VariableDefinitionNode, *_args: Any + ) -> None: + self.var_def_map[node.variable.name.value] = node + + +def allowed_variable_usage( + schema: GraphQLSchema, + var_type: GraphQLType, + var_default_value: Optional[ValueNode], + location_type: GraphQLType, + location_default_value: Any, +) -> bool: + """Check for allowed variable usage. + + Returns True if the variable is allowed in the location it was found, which includes + considering if default values exist for either the variable or the location at which + it is located. + """ + if is_non_null_type(location_type) and not is_non_null_type(var_type): + has_non_null_variable_default_value = ( + var_default_value is not None + and not isinstance(var_default_value, NullValueNode) + ) + has_location_default_value = location_default_value is not Undefined + if not has_non_null_variable_default_value and not has_location_default_value: + return False + location_type = cast(GraphQLNonNull, location_type) + nullable_location_type = location_type.of_type + return is_type_sub_type_of(schema, var_type, nullable_location_type) + return is_type_sub_type_of(schema, var_type, location_type) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/specified_rules.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/specified_rules.py new file mode 100644 index 0000000000000000000000000000000000000000..db990aeb8d81eeaa46a65df1120fdaf5dfca3b4d --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/specified_rules.py @@ -0,0 +1,157 @@ +from typing import Tuple, Type + +from .rules import ASTValidationRule + +# Spec Section: "Executable Definitions" +from .rules.executable_definitions import ExecutableDefinitionsRule + +# Spec Section: "Operation Name Uniqueness" +from .rules.unique_operation_names import UniqueOperationNamesRule + +# Spec Section: "Lone Anonymous Operation" +from .rules.lone_anonymous_operation import LoneAnonymousOperationRule + +# Spec Section: "Subscriptions with Single Root Field" +from .rules.single_field_subscriptions import SingleFieldSubscriptionsRule + +# Spec Section: "Fragment Spread Type Existence" +from .rules.known_type_names import KnownTypeNamesRule + +# Spec Section: "Fragments on Composite Types" +from .rules.fragments_on_composite_types import FragmentsOnCompositeTypesRule + +# Spec Section: "Variables are Input Types" +from .rules.variables_are_input_types import VariablesAreInputTypesRule + +# Spec Section: "Leaf Field Selections" +from .rules.scalar_leafs import ScalarLeafsRule + +# Spec Section: "Field Selections on Objects, Interfaces, and Unions Types" +from .rules.fields_on_correct_type import FieldsOnCorrectTypeRule + +# Spec Section: "Fragment Name Uniqueness" +from .rules.unique_fragment_names import UniqueFragmentNamesRule + +# Spec Section: "Fragment spread target defined" +from .rules.known_fragment_names import KnownFragmentNamesRule + +# Spec Section: "Fragments must be used" +from .rules.no_unused_fragments import NoUnusedFragmentsRule + +# Spec Section: "Fragment spread is possible" +from .rules.possible_fragment_spreads import PossibleFragmentSpreadsRule + +# Spec Section: "Fragments must not form cycles" +from .rules.no_fragment_cycles import NoFragmentCyclesRule + +# Spec Section: "Variable Uniqueness" +from .rules.unique_variable_names import UniqueVariableNamesRule + +# Spec Section: "All Variable Used Defined" +from .rules.no_undefined_variables import NoUndefinedVariablesRule + +# Spec Section: "All Variables Used" +from .rules.no_unused_variables import NoUnusedVariablesRule + +# Spec Section: "Directives Are Defined" +from .rules.known_directives import KnownDirectivesRule + +# Spec Section: "Directives Are Unique Per Location" +from .rules.unique_directives_per_location import UniqueDirectivesPerLocationRule + +# Spec Section: "Argument Names" +from .rules.known_argument_names import KnownArgumentNamesRule +from .rules.known_argument_names import KnownArgumentNamesOnDirectivesRule + +# Spec Section: "Argument Uniqueness" +from .rules.unique_argument_names import UniqueArgumentNamesRule + +# Spec Section: "Value Type Correctness" +from .rules.values_of_correct_type import ValuesOfCorrectTypeRule + +# Spec Section: "Argument Optionality" +from .rules.provided_required_arguments import ProvidedRequiredArgumentsRule +from .rules.provided_required_arguments import ProvidedRequiredArgumentsOnDirectivesRule + +# Spec Section: "All Variable Usages Are Allowed" +from .rules.variables_in_allowed_position import VariablesInAllowedPositionRule + +# Spec Section: "Field Selection Merging" +from .rules.overlapping_fields_can_be_merged import OverlappingFieldsCanBeMergedRule + +# Spec Section: "Input Object Field Uniqueness" +from .rules.unique_input_field_names import UniqueInputFieldNamesRule + +# Schema definition language: +from .rules.lone_schema_definition import LoneSchemaDefinitionRule +from .rules.unique_operation_types import UniqueOperationTypesRule +from .rules.unique_type_names import UniqueTypeNamesRule +from .rules.unique_enum_value_names import UniqueEnumValueNamesRule +from .rules.unique_field_definition_names import UniqueFieldDefinitionNamesRule +from .rules.unique_argument_definition_names import UniqueArgumentDefinitionNamesRule +from .rules.unique_directive_names import UniqueDirectiveNamesRule +from .rules.possible_type_extensions import PossibleTypeExtensionsRule + +__all__ = ["specified_rules", "specified_sdl_rules"] + + +# This list includes all validation rules defined by the GraphQL spec. +# +# The order of the rules in this list has been adjusted to lead to the +# most clear output when encountering multiple validation errors. + +specified_rules: Tuple[Type[ASTValidationRule], ...] = ( + ExecutableDefinitionsRule, + UniqueOperationNamesRule, + LoneAnonymousOperationRule, + SingleFieldSubscriptionsRule, + KnownTypeNamesRule, + FragmentsOnCompositeTypesRule, + VariablesAreInputTypesRule, + ScalarLeafsRule, + FieldsOnCorrectTypeRule, + UniqueFragmentNamesRule, + KnownFragmentNamesRule, + NoUnusedFragmentsRule, + PossibleFragmentSpreadsRule, + NoFragmentCyclesRule, + UniqueVariableNamesRule, + NoUndefinedVariablesRule, + NoUnusedVariablesRule, + KnownDirectivesRule, + UniqueDirectivesPerLocationRule, + KnownArgumentNamesRule, + UniqueArgumentNamesRule, + ValuesOfCorrectTypeRule, + ProvidedRequiredArgumentsRule, + VariablesInAllowedPositionRule, + OverlappingFieldsCanBeMergedRule, + UniqueInputFieldNamesRule, +) +"""A tuple with all validation rules defined by the GraphQL specification. + +The order of the rules in this tuple has been adjusted to lead to the +most clear output when encountering multiple validation errors. +""" + +specified_sdl_rules: Tuple[Type[ASTValidationRule], ...] = ( + LoneSchemaDefinitionRule, + UniqueOperationTypesRule, + UniqueTypeNamesRule, + UniqueEnumValueNamesRule, + UniqueFieldDefinitionNamesRule, + UniqueArgumentDefinitionNamesRule, + UniqueDirectiveNamesRule, + KnownTypeNamesRule, + KnownDirectivesRule, + UniqueDirectivesPerLocationRule, + PossibleTypeExtensionsRule, + KnownArgumentNamesOnDirectivesRule, + UniqueArgumentNamesRule, + UniqueInputFieldNamesRule, + ProvidedRequiredArgumentsOnDirectivesRule, +) +"""This tuple includes all rules for validating SDL. + +For internal use only. +""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/validate.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/validate.py new file mode 100644 index 0000000000000000000000000000000000000000..70e7f68d11e5aec1471402cf66baee6d3e37a69f --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/validate.py @@ -0,0 +1,133 @@ +from typing import Collection, List, Optional, Type + +from ..error import GraphQLError +from ..language import DocumentNode, ParallelVisitor, visit +from ..pyutils import inspect, is_collection +from ..type import GraphQLSchema, assert_valid_schema +from ..utilities import TypeInfo, TypeInfoVisitor +from .rules import ASTValidationRule +from .specified_rules import specified_rules, specified_sdl_rules +from .validation_context import SDLValidationContext, ValidationContext + +__all__ = ["assert_valid_sdl", "assert_valid_sdl_extension", "validate", "validate_sdl"] + + +class ValidationAbortedError(RuntimeError): + """Error when a validation has been aborted (error limit reached).""" + + +def validate( + schema: GraphQLSchema, + document_ast: DocumentNode, + rules: Optional[Collection[Type[ASTValidationRule]]] = None, + max_errors: Optional[int] = None, + type_info: Optional[TypeInfo] = None, +) -> List[GraphQLError]: + """Implements the "Validation" section of the spec. + + Validation runs synchronously, returning a list of encountered errors, or an empty + list if no errors were encountered and the document is valid. + + A list of specific validation rules may be provided. If not provided, the default + list of rules defined by the GraphQL specification will be used. + + Each validation rule is a ValidationRule object which is a visitor object that holds + a ValidationContext (see the language/visitor API). Visitor methods are expected to + return GraphQLErrors, or lists of GraphQLErrors when invalid. + + Validate will stop validation after a ``max_errors`` limit has been reached. + Attackers can send pathologically invalid queries to induce a DoS attack, + so by default ``max_errors`` set to 100 errors. + + Providing a custom TypeInfo instance is deprecated and will be removed in v3.3. + """ + if not document_ast or not isinstance(document_ast, DocumentNode): + raise TypeError("Must provide document.") + # If the schema used for validation is invalid, throw an error. + assert_valid_schema(schema) + if max_errors is None: + max_errors = 100 + elif not isinstance(max_errors, int): + raise TypeError("The maximum number of errors must be passed as an int.") + if type_info is None: + type_info = TypeInfo(schema) + elif not isinstance(type_info, TypeInfo): + raise TypeError(f"Not a TypeInfo object: {inspect(type_info)}.") + if rules is None: + rules = specified_rules + elif not is_collection(rules) or not all( + isinstance(rule, type) and issubclass(rule, ASTValidationRule) for rule in rules + ): + raise TypeError( + "Rules must be specified as a collection of ASTValidationRule subclasses." + ) + + errors: List[GraphQLError] = [] + + def on_error(error: GraphQLError) -> None: + if len(errors) >= max_errors: + errors.append( + GraphQLError( + "Too many validation errors, error limit reached." + " Validation aborted." + ) + ) + raise ValidationAbortedError + errors.append(error) + + context = ValidationContext(schema, document_ast, type_info, on_error) + + # This uses a specialized visitor which runs multiple visitors in parallel, + # while maintaining the visitor skip and break API. + visitors = [rule(context) for rule in rules] + + # Visit the whole document with each instance of all provided rules. + try: + visit(document_ast, TypeInfoVisitor(type_info, ParallelVisitor(visitors))) + except ValidationAbortedError: + pass + return errors + + +def validate_sdl( + document_ast: DocumentNode, + schema_to_extend: Optional[GraphQLSchema] = None, + rules: Optional[Collection[Type[ASTValidationRule]]] = None, +) -> List[GraphQLError]: + """Validate an SDL document. + + For internal use only. + """ + errors: List[GraphQLError] = [] + context = SDLValidationContext(document_ast, schema_to_extend, errors.append) + if rules is None: + rules = specified_sdl_rules + visitors = [rule(context) for rule in rules] + visit(document_ast, ParallelVisitor(visitors)) + return errors + + +def assert_valid_sdl(document_ast: DocumentNode) -> None: + """Assert document is valid SDL. + + Utility function which asserts a SDL document is valid by throwing an error if it + is invalid. + """ + + errors = validate_sdl(document_ast) + if errors: + raise TypeError("\n\n".join(error.message for error in errors)) + + +def assert_valid_sdl_extension( + document_ast: DocumentNode, schema: GraphQLSchema +) -> None: + """Assert document is a valid SDL extension. + + Utility function which asserts a SDL document is valid by throwing an error if it + is invalid. + """ + + errors = validate_sdl(document_ast, schema) + if errors: + raise TypeError("\n\n".join(error.message for error in errors)) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/validation_context.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/validation_context.py new file mode 100644 index 0000000000000000000000000000000000000000..931a19d961ded9b97ada9c5ea2efde7066bba7e8 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql/validation/validation_context.py @@ -0,0 +1,250 @@ +from typing import Any, Callable, Dict, List, NamedTuple, Optional, Set, Union, cast + +from ..error import GraphQLError +from ..language import ( + DocumentNode, + FragmentDefinitionNode, + FragmentSpreadNode, + OperationDefinitionNode, + SelectionSetNode, + VariableNode, + Visitor, + VisitorAction, + visit, +) +from ..type import ( + GraphQLArgument, + GraphQLCompositeType, + GraphQLDirective, + GraphQLEnumValue, + GraphQLField, + GraphQLInputType, + GraphQLOutputType, + GraphQLSchema, +) +from ..utilities import TypeInfo, TypeInfoVisitor + +__all__ = [ + "ASTValidationContext", + "SDLValidationContext", + "ValidationContext", + "VariableUsage", + "VariableUsageVisitor", +] + +NodeWithSelectionSet = Union[OperationDefinitionNode, FragmentDefinitionNode] + + +class VariableUsage(NamedTuple): + node: VariableNode + type: Optional[GraphQLInputType] + default_value: Any + + +class VariableUsageVisitor(Visitor): + """Visitor adding all variable usages to a given list.""" + + usages: List[VariableUsage] + + def __init__(self, type_info: TypeInfo): + super().__init__() + self.usages = [] + self._append_usage = self.usages.append + self._type_info = type_info + + def enter_variable_definition(self, *_args: Any) -> VisitorAction: + return self.SKIP + + def enter_variable(self, node: VariableNode, *_args: Any) -> VisitorAction: + type_info = self._type_info + usage = VariableUsage( + node, type_info.get_input_type(), type_info.get_default_value() + ) + self._append_usage(usage) + return None + + +class ASTValidationContext: + """Utility class providing a context for validation of an AST. + + An instance of this class is passed as the context attribute to all Validators, + allowing access to commonly useful contextual information from within a validation + rule. + """ + + document: DocumentNode + + _fragments: Optional[Dict[str, FragmentDefinitionNode]] + _fragment_spreads: Dict[SelectionSetNode, List[FragmentSpreadNode]] + _recursively_referenced_fragments: Dict[ + OperationDefinitionNode, List[FragmentDefinitionNode] + ] + + def __init__( + self, ast: DocumentNode, on_error: Callable[[GraphQLError], None] + ) -> None: + self.document = ast + self.on_error = on_error # type: ignore + self._fragments = None + self._fragment_spreads = {} + self._recursively_referenced_fragments = {} + + def on_error(self, error: GraphQLError) -> None: + pass + + def report_error(self, error: GraphQLError) -> None: + self.on_error(error) + + def get_fragment(self, name: str) -> Optional[FragmentDefinitionNode]: + fragments = self._fragments + if fragments is None: + fragments = { + statement.name.value: statement + for statement in self.document.definitions + if isinstance(statement, FragmentDefinitionNode) + } + + self._fragments = fragments + return fragments.get(name) + + def get_fragment_spreads(self, node: SelectionSetNode) -> List[FragmentSpreadNode]: + spreads = self._fragment_spreads.get(node) + if spreads is None: + spreads = [] + append_spread = spreads.append + sets_to_visit = [node] + append_set = sets_to_visit.append + pop_set = sets_to_visit.pop + while sets_to_visit: + visited_set = pop_set() + for selection in visited_set.selections: + if isinstance(selection, FragmentSpreadNode): + append_spread(selection) + else: + set_to_visit = cast( + NodeWithSelectionSet, selection + ).selection_set + if set_to_visit: + append_set(set_to_visit) + self._fragment_spreads[node] = spreads + return spreads + + def get_recursively_referenced_fragments( + self, operation: OperationDefinitionNode + ) -> List[FragmentDefinitionNode]: + fragments = self._recursively_referenced_fragments.get(operation) + if fragments is None: + fragments = [] + append_fragment = fragments.append + collected_names: Set[str] = set() + add_name = collected_names.add + nodes_to_visit = [operation.selection_set] + append_node = nodes_to_visit.append + pop_node = nodes_to_visit.pop + get_fragment = self.get_fragment + get_fragment_spreads = self.get_fragment_spreads + while nodes_to_visit: + visited_node = pop_node() + for spread in get_fragment_spreads(visited_node): + frag_name = spread.name.value + if frag_name not in collected_names: + add_name(frag_name) + fragment = get_fragment(frag_name) + if fragment: + append_fragment(fragment) + append_node(fragment.selection_set) + self._recursively_referenced_fragments[operation] = fragments + return fragments + + +class SDLValidationContext(ASTValidationContext): + """Utility class providing a context for validation of an SDL AST. + + An instance of this class is passed as the context attribute to all Validators, + allowing access to commonly useful contextual information from within a validation + rule. + """ + + schema: Optional[GraphQLSchema] + + def __init__( + self, + ast: DocumentNode, + schema: Optional[GraphQLSchema], + on_error: Callable[[GraphQLError], None], + ) -> None: + super().__init__(ast, on_error) + self.schema = schema + + +class ValidationContext(ASTValidationContext): + """Utility class providing a context for validation using a GraphQL schema. + + An instance of this class is passed as the context attribute to all Validators, + allowing access to commonly useful contextual information from within a validation + rule. + """ + + schema: GraphQLSchema + + _type_info: TypeInfo + _variable_usages: Dict[NodeWithSelectionSet, List[VariableUsage]] + _recursive_variable_usages: Dict[OperationDefinitionNode, List[VariableUsage]] + + def __init__( + self, + schema: GraphQLSchema, + ast: DocumentNode, + type_info: TypeInfo, + on_error: Callable[[GraphQLError], None], + ) -> None: + super().__init__(ast, on_error) + self.schema = schema + self._type_info = type_info + self._variable_usages = {} + self._recursive_variable_usages = {} + + def get_variable_usages(self, node: NodeWithSelectionSet) -> List[VariableUsage]: + usages = self._variable_usages.get(node) + if usages is None: + usage_visitor = VariableUsageVisitor(self._type_info) + visit(node, TypeInfoVisitor(self._type_info, usage_visitor)) + usages = usage_visitor.usages + self._variable_usages[node] = usages + return usages + + def get_recursive_variable_usages( + self, operation: OperationDefinitionNode + ) -> List[VariableUsage]: + usages = self._recursive_variable_usages.get(operation) + if usages is None: + get_variable_usages = self.get_variable_usages + usages = get_variable_usages(operation) + for fragment in self.get_recursively_referenced_fragments(operation): + usages.extend(get_variable_usages(fragment)) + self._recursive_variable_usages[operation] = usages + return usages + + def get_type(self) -> Optional[GraphQLOutputType]: + return self._type_info.get_type() + + def get_parent_type(self) -> Optional[GraphQLCompositeType]: + return self._type_info.get_parent_type() + + def get_input_type(self) -> Optional[GraphQLInputType]: + return self._type_info.get_input_type() + + def get_parent_input_type(self) -> Optional[GraphQLInputType]: + return self._type_info.get_parent_input_type() + + def get_field_def(self) -> Optional[GraphQLField]: + return self._type_info.get_field_def() + + def get_directive(self) -> Optional[GraphQLDirective]: + return self._type_info.get_directive() + + def get_argument(self) -> Optional[GraphQLArgument]: + return self._type_info.get_argument() + + def get_enum_value(self) -> Optional[GraphQLEnumValue]: + return self._type_info.get_enum_value() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..5b87657a498e51d7f657a53d5a740761e30cf552 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/__pycache__/version.cpython-312.pyc 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b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/connection/array_connection.py @@ -0,0 +1,215 @@ +from typing import Any, Iterator, Optional, Sequence + +try: + from typing import Protocol +except ImportError: # Python < 3.8 + from typing_extensions import Protocol # type: ignore + +from ..utils.base64 import base64, unbase64 +from .connection import ( + Connection, + ConnectionArguments, + ConnectionConstructor, + ConnectionCursor, + ConnectionType, + Edge, + EdgeConstructor, + PageInfo, + PageInfoConstructor, +) + +__all__ = [ + "connection_from_array", + "connection_from_array_slice", + "cursor_for_object_in_connection", + "cursor_to_offset", + "get_offset_with_default", + "offset_to_cursor", + "SizedSliceable", +] + + +class SizedSliceable(Protocol): + def __getitem__(self, index: slice) -> Any: + ... + + def __iter__(self) -> Iterator: + ... + + def __len__(self) -> int: + ... + + +def connection_from_array( + data: SizedSliceable, + args: Optional[ConnectionArguments] = None, + connection_type: ConnectionConstructor = Connection, + edge_type: EdgeConstructor = Edge, + page_info_type: PageInfoConstructor = PageInfo, +) -> ConnectionType: + """Create a connection object from a sequence of objects. + + Note that different from its JavaScript counterpart which expects an array, + this function accepts any kind of sliceable object with a length. + + Given this `data` object representing the result set, and connection arguments, + this simple function returns a connection object for use in GraphQL. It uses + offsets as pagination, so pagination will only work if the data is static. + + The result will use the default types provided in the `connectiontypes` module + if you don't pass custom types as arguments. + """ + return connection_from_array_slice( + data, + args, + slice_start=0, + array_length=len(data), + connection_type=connection_type, + edge_type=edge_type, + page_info_type=page_info_type, + ) + + +def connection_from_array_slice( + array_slice: SizedSliceable, + args: Optional[ConnectionArguments] = None, + slice_start: int = 0, + array_length: Optional[int] = None, + array_slice_length: Optional[int] = None, + connection_type: ConnectionConstructor = Connection, + edge_type: EdgeConstructor = Edge, + page_info_type: PageInfoConstructor = PageInfo, +) -> ConnectionType: + """Create a connection object from a slice of the result set. + + Note that different from its JavaScript counterpart which expects an array, + this function accepts any kind of sliceable object. This object represents + a slice of the full result set. You need to pass the start position of the + slice as `slice start` and the length of the full result set as `array_length`. + If the `array_slice` does not have a length, you need to provide it separately + in `array_slice_length` as well. + + This function is similar to `connection_from_array`, but is intended for use + cases where you know the cardinality of the connection, consider it too large + to materialize the entire result set, and instead wish to pass in only a slice + of the total result large enough to cover the range specified in `args`. + + If you do not provide a `slice_start`, we assume that the slice starts at + the beginning of the result set, and if you do not provide an `array_length`, + we assume that the slice ends at the end of the result set. + """ + args = args or {} + before = args.get("before") + after = args.get("after") + first = args.get("first") + last = args.get("last") + if array_slice_length is None: + array_slice_length = len(array_slice) + slice_end = slice_start + array_slice_length + if array_length is None: + array_length = slice_end + + start_offset = max(slice_start, 0) + end_offset = min(slice_end, array_length) + + after_offset = get_offset_with_default(after, -1) + if 0 <= after_offset < array_length: + start_offset = max(start_offset, after_offset + 1) + + before_offset = get_offset_with_default(before, end_offset) + if 0 <= before_offset < array_length: + end_offset = min(end_offset, before_offset) + + if isinstance(first, int): + if first < 0: + raise ValueError("Argument 'first' must be a non-negative integer.") + + end_offset = min(end_offset, start_offset + first) + if isinstance(last, int): + if last < 0: + raise ValueError("Argument 'last' must be a non-negative integer.") + + start_offset = max(start_offset, end_offset - last) + + # If supplied slice is too large, trim it down before mapping over it. + trimmed_slice = array_slice[start_offset - slice_start : end_offset - slice_start] + + edges = [ + edge_type(node=value, cursor=offset_to_cursor(start_offset + index)) + for index, value in enumerate(trimmed_slice) + ] + + first_edge_cursor = edges[0].cursor if edges else None + last_edge_cursor = edges[-1].cursor if edges else None + lower_bound = after_offset + 1 if after else 0 + upper_bound = before_offset if before else array_length + + return connection_type( + edges=edges, + pageInfo=page_info_type( + startCursor=first_edge_cursor, + endCursor=last_edge_cursor, + hasPreviousPage=isinstance(last, int) and start_offset > lower_bound, + hasNextPage=isinstance(first, int) and end_offset < upper_bound, + ), + ) + + +PREFIX = "arrayconnection:" + + +def offset_to_cursor(offset: int) -> ConnectionCursor: + """Create the cursor string from an offset.""" + return base64(f"{PREFIX}{offset}") + + +def cursor_to_offset(cursor: ConnectionCursor) -> Optional[int]: + """Extract the offset from the cursor string.""" + try: + return int(unbase64(cursor)[len(PREFIX) :]) + except ValueError: + return None + + +def cursor_for_object_in_connection( + data: Sequence, obj: Any +) -> Optional[ConnectionCursor]: + """Return the cursor associated with an object in a sequence. + + This function uses the `index` method of the sequence if it exists, + otherwise searches the object by iterating via the `__getitem__` method. + """ + try: + offset = data.index(obj) + except AttributeError: + # data does not have an index method + offset = 0 + try: + while True: + if data[offset] == obj: + break + offset += 1 + except IndexError: + return None + else: + return offset_to_cursor(offset) + except ValueError: + return None + else: + return offset_to_cursor(offset) + + +def get_offset_with_default( + cursor: Optional[ConnectionCursor] = None, default_offset: int = 0 +) -> int: + """Get offset from a given cursor and a default. + + Given an optional cursor and a default offset, return the offset to use; + if the cursor contains a valid offset, that will be used, + otherwise it will be the default. + """ + if not isinstance(cursor, str): + return default_offset + + offset = cursor_to_offset(cursor) + return default_offset if offset is None else offset diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/connection/arrayconnection.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/connection/arrayconnection.py new file mode 100644 index 0000000000000000000000000000000000000000..efae32e13f9d498656c387e8c07fe28149c44322 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/connection/arrayconnection.py @@ -0,0 +1,29 @@ +import warnings + +# noinspection PyDeprecation +from .array_connection import ( + connection_from_array, + connection_from_array_slice, + cursor_for_object_in_connection, + cursor_to_offset, + get_offset_with_default, + offset_to_cursor, + SizedSliceable, +) + +warnings.warn( + "The 'arrayconnection' module is deprecated. " + "Functions should be imported from the top-level package instead.", + DeprecationWarning, + stacklevel=2, +) + +__all__ = [ + "connection_from_array", + "connection_from_array_slice", + "cursor_for_object_in_connection", + "cursor_to_offset", + "get_offset_with_default", + "offset_to_cursor", + "SizedSliceable", +] diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/connection/connection.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/connection/connection.py new file mode 100644 index 0000000000000000000000000000000000000000..2058baabde72d5a551f6b4edd94138c3cbdbc288 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/connection/connection.py @@ -0,0 +1,257 @@ +from typing import Any, Dict, List, NamedTuple, Optional, Union + +from graphql import ( + get_named_type, + resolve_thunk, + GraphQLArgument, + GraphQLArgumentMap, + GraphQLBoolean, + GraphQLField, + GraphQLFieldResolver, + GraphQLInt, + GraphQLList, + GraphQLNonNull, + GraphQLObjectType, + GraphQLString, + ThunkMapping, +) + +from graphql import GraphQLNamedOutputType + +try: + from typing import Protocol +except ImportError: # Python < 3.8 + from typing_extensions import Protocol # type: ignore + +__all__ = [ + "backward_connection_args", + "connection_args", + "connection_definitions", + "forward_connection_args", + "page_info_type", + "Connection", + "ConnectionArguments", + "ConnectionConstructor", + "ConnectionCursor", + "ConnectionType", + "Edge", + "EdgeConstructor", + "EdgeType", + "GraphQLConnectionDefinitions", + "PageInfo", + "PageInfoConstructor", + "PageInfoType", +] + + +# Returns a GraphQLArgumentMap appropriate to include on a field +# whose return type is a connection type with forward pagination. +forward_connection_args: GraphQLArgumentMap = { + "after": GraphQLArgument( + GraphQLString, + description="Returns the items in the list" + " that come after the specified cursor.", + ), + "first": GraphQLArgument( + GraphQLInt, + description="Returns the first n items from the list.", + ), +} + +# Returns a GraphQLArgumentMap appropriate to include on a field +# whose return type is a connection type with backward pagination. +backward_connection_args: GraphQLArgumentMap = { + "before": GraphQLArgument( + GraphQLString, + description="Returns the items in the list" + " that come before the specified cursor.", + ), + "last": GraphQLArgument( + GraphQLInt, description="Returns the last n items from the list." + ), +} + +# Returns a GraphQLArgumentMap appropriate to include on a field +# whose return type is a connection type with bidirectional pagination. +connection_args = {**forward_connection_args, **backward_connection_args} + + +class GraphQLConnectionDefinitions(NamedTuple): + edge_type: GraphQLObjectType + connection_type: GraphQLObjectType + + +"""A type alias for cursors in this implementation.""" +ConnectionCursor = str + + +"""A type describing the arguments a connection field receives in GraphQL. + +The following kinds of arguments are expected (all optional): + + before: ConnectionCursor + after: ConnectionCursor + first: int + last: int +""" +ConnectionArguments = Dict[str, Any] + + +def connection_definitions( + node_type: Union[GraphQLNamedOutputType, GraphQLNonNull[GraphQLNamedOutputType]], + name: Optional[str] = None, + resolve_node: Optional[GraphQLFieldResolver] = None, + resolve_cursor: Optional[GraphQLFieldResolver] = None, + edge_fields: Optional[ThunkMapping[GraphQLField]] = None, + connection_fields: Optional[ThunkMapping[GraphQLField]] = None, +) -> GraphQLConnectionDefinitions: + """Return GraphQLObjectTypes for a connection with the given name. + + The nodes of the returned object types will be of the specified type. + """ + name = name or get_named_type(node_type).name + + edge_type = GraphQLObjectType( + name + "Edge", + description="An edge in a connection.", + fields=lambda: { + "node": GraphQLField( + node_type, + resolve=resolve_node, + description="The item at the end of the edge", + ), + "cursor": GraphQLField( + GraphQLNonNull(GraphQLString), + resolve=resolve_cursor, + description="A cursor for use in pagination", + ), + **resolve_thunk(edge_fields or {}), + }, + ) + + connection_type = GraphQLObjectType( + name + "Connection", + description="A connection to a list of items.", + fields=lambda: { + "pageInfo": GraphQLField( + GraphQLNonNull(page_info_type), + description="Information to aid in pagination.", + ), + "edges": GraphQLField( + GraphQLList(edge_type), description="A list of edges." + ), + **resolve_thunk(connection_fields or {}), + }, + ) + + return GraphQLConnectionDefinitions(edge_type, connection_type) + + +class PageInfoType(Protocol): + @property + def startCursor(self) -> Optional[ConnectionCursor]: + ... + + def endCursor(self) -> Optional[ConnectionCursor]: + ... + + def hasPreviousPage(self) -> bool: + ... + + def hasNextPage(self) -> bool: + ... + + +class PageInfoConstructor(Protocol): + def __call__( + self, + *, + startCursor: Optional[ConnectionCursor], + endCursor: Optional[ConnectionCursor], + hasPreviousPage: bool, + hasNextPage: bool, + ) -> PageInfoType: + ... + + +class PageInfo(NamedTuple): + """A type designed to be exposed as `PageInfo` over GraphQL.""" + + startCursor: Optional[ConnectionCursor] + endCursor: Optional[ConnectionCursor] + hasPreviousPage: bool + hasNextPage: bool + + +class EdgeType(Protocol): + @property + def node(self) -> Any: + ... + + @property + def cursor(self) -> ConnectionCursor: + ... + + +class EdgeConstructor(Protocol): + def __call__(self, *, node: Any, cursor: ConnectionCursor) -> EdgeType: + ... + + +class Edge(NamedTuple): + """A type designed to be exposed as a `Edge` over GraphQL.""" + + node: Any + cursor: ConnectionCursor + + +class ConnectionType(Protocol): + @property + def edges(self) -> List[EdgeType]: + ... + + @property + def pageInfo(self) -> PageInfoType: + ... + + +class ConnectionConstructor(Protocol): + def __call__( + self, + *, + edges: List[EdgeType], + pageInfo: PageInfoType, + ) -> ConnectionType: + ... + + +class Connection(NamedTuple): + """A type designed to be exposed as a `Connection` over GraphQL.""" + + edges: List[Edge] + pageInfo: PageInfo + + +# The common page info type used by all connections. +page_info_type = GraphQLObjectType( + "PageInfo", + description="Information about pagination in a connection.", + fields=lambda: { + "hasNextPage": GraphQLField( + GraphQLNonNull(GraphQLBoolean), + description="When paginating forwards, are there more items?", + ), + "hasPreviousPage": GraphQLField( + GraphQLNonNull(GraphQLBoolean), + description="When paginating backwards, are there more items?", + ), + "startCursor": GraphQLField( + GraphQLString, + description="When paginating backwards, the cursor to continue.", + ), + "endCursor": GraphQLField( + GraphQLString, + description="When paginating forwards, the cursor to continue.", + ), + }, +) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/mutation/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/mutation/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..b198fb1a5ef72dc4dd1d3c00a7c6de9a992aa17a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/mutation/__init__.py @@ -0,0 +1 @@ +"""graphql_relay.mutation""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/mutation/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/mutation/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 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b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/mutation/mutation.py new file mode 100644 index 0000000000000000000000000000000000000000..f927bec5039e0430b9a7e94345f6b0fd4171a4aa --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/mutation/mutation.py @@ -0,0 +1,119 @@ +from collections.abc import Mapping +from inspect import iscoroutinefunction +from typing import Any, Callable, Dict, Optional + +from graphql import ( + resolve_thunk, + GraphQLArgument, + GraphQLField, + GraphQLFieldMap, + GraphQLInputField, + GraphQLInputFieldMap, + GraphQLInputObjectType, + GraphQLNonNull, + GraphQLObjectType, + GraphQLResolveInfo, + GraphQLString, + ThunkMapping, +) +from graphql.pyutils import AwaitableOrValue + +__all__ = [ + "mutation_with_client_mutation_id", + "MutationFn", + "MutationFnWithoutArgs", + "NullResult", +] + +# Note: Contrary to the Javascript implementation of MutationFn, +# the context is passed as part of the GraphQLResolveInfo and any arguments +# are passed individually as keyword arguments. +MutationFnWithoutArgs = Callable[[GraphQLResolveInfo], AwaitableOrValue[Any]] +# Unfortunately there is currently no syntax to indicate optional or keyword +# arguments in Python, so we also allow any other Callable as a workaround: +MutationFn = Callable[..., AwaitableOrValue[Any]] + + +class NullResult: + def __init__(self, clientMutationId: Optional[str] = None) -> None: + self.clientMutationId = clientMutationId + + +def mutation_with_client_mutation_id( + name: str, + input_fields: ThunkMapping[GraphQLInputField], + output_fields: ThunkMapping[GraphQLField], + mutate_and_get_payload: MutationFn, + description: Optional[str] = None, + deprecation_reason: Optional[str] = None, + extensions: Optional[Dict[str, Any]] = None, +) -> GraphQLField: + """ + Returns a GraphQLFieldConfig for the specified mutation. + + The input_fields and output_fields should not include `clientMutationId`, + as this will be provided automatically. + + An input object will be created containing the input fields, and an + object will be created containing the output fields. + + mutate_and_get_payload will receive a GraphQLResolveInfo as first argument, + and the input fields as keyword arguments, and it should return an object + (or a dict) with an attribute (or a key) for each output field. + It may return synchronously or asynchronously. + """ + + def augmented_input_fields() -> GraphQLInputFieldMap: + return dict( + resolve_thunk(input_fields), + clientMutationId=GraphQLInputField(GraphQLString), + ) + + def augmented_output_fields() -> GraphQLFieldMap: + return dict( + resolve_thunk(output_fields), + clientMutationId=GraphQLField(GraphQLString), + ) + + output_type = GraphQLObjectType(name + "Payload", fields=augmented_output_fields) + + input_type = GraphQLInputObjectType(name + "Input", fields=augmented_input_fields) + + if iscoroutinefunction(mutate_and_get_payload): + + # noinspection PyShadowingBuiltins + async def resolve(_root: Any, info: GraphQLResolveInfo, input: Dict) -> Any: + payload = await mutate_and_get_payload(info, **input) + clientMutationId = input.get("clientMutationId") + if payload is None: + return NullResult(clientMutationId) + if isinstance(payload, Mapping): + payload["clientMutationId"] = clientMutationId # type: ignore + else: + payload.clientMutationId = clientMutationId + return payload + + else: + + # noinspection PyShadowingBuiltins + def resolve( # type: ignore + _root: Any, info: GraphQLResolveInfo, input: Dict + ) -> Any: + payload = mutate_and_get_payload(info, **input) + clientMutationId = input.get("clientMutationId") + if payload is None: + return NullResult(clientMutationId) + if isinstance(payload, Mapping): + payload["clientMutationId"] = clientMutationId # type: ignore + else: + payload.clientMutationId = clientMutationId # type: ignore + return payload + + return GraphQLField( + output_type, + description=description, + deprecation_reason=deprecation_reason, + args={"input": GraphQLArgument(GraphQLNonNull(input_type))}, + resolve=resolve, + extensions=extensions, + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/node/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/node/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..21b42c632040f8ba869f4748aafe3df2e89429fc --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/node/__init__.py @@ -0,0 +1 @@ +"""graphql_relay.node""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/node/__pycache__/__init__.cpython-312.pyc 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differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/node/__pycache__/plural.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/node/__pycache__/plural.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..e40e4b53fbe2dba8548ade6cfcfdf40bd8180d2c Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/node/__pycache__/plural.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/node/node.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/node/node.py new file mode 100644 index 0000000000000000000000000000000000000000..ad062a5c37c33741c1c7f2dec402128c8cb17196 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/node/node.py @@ -0,0 +1,132 @@ +from typing import Any, Callable, NamedTuple, Optional, Union + +from graphql_relay.utils.base64 import base64, unbase64 + +from graphql import ( + GraphQLArgument, + GraphQLNonNull, + GraphQLID, + GraphQLField, + GraphQLInterfaceType, + GraphQLList, + GraphQLResolveInfo, + GraphQLTypeResolver, +) + +__all__ = [ + "from_global_id", + "global_id_field", + "node_definitions", + "to_global_id", + "GraphQLNodeDefinitions", + "ResolvedGlobalId", +] + + +class GraphQLNodeDefinitions(NamedTuple): + + node_interface: GraphQLInterfaceType + node_field: GraphQLField + nodes_field: GraphQLField + + +def node_definitions( + fetch_by_id: Callable[[str, GraphQLResolveInfo], Any], + type_resolver: Optional[GraphQLTypeResolver] = None, +) -> GraphQLNodeDefinitions: + """ + Given a function to map from an ID to an underlying object, and a function + to map from an underlying object to the concrete GraphQLObjectType it + corresponds to, constructs a `Node` interface that objects can implement, + and a field object to be used as a `node` root field. + + If the type_resolver is omitted, object resolution on the interface will be + handled with the `is_type_of` method on object types, as with any GraphQL + interface without a provided `resolve_type` method. + """ + node_interface = GraphQLInterfaceType( + "Node", + description="An object with an ID", + fields=lambda: { + "id": GraphQLField( + GraphQLNonNull(GraphQLID), description="The id of the object." + ) + }, + resolve_type=type_resolver, + ) + + # noinspection PyShadowingBuiltins + node_field = GraphQLField( + node_interface, + description="Fetches an object given its ID", + args={ + "id": GraphQLArgument( + GraphQLNonNull(GraphQLID), description="The ID of an object" + ) + }, + resolve=lambda _obj, info, id: fetch_by_id(id, info), + ) + + nodes_field = GraphQLField( + GraphQLNonNull(GraphQLList(node_interface)), + description="Fetches objects given their IDs", + args={ + "ids": GraphQLArgument( + GraphQLNonNull(GraphQLList(GraphQLNonNull(GraphQLID))), + description="The IDs of objects", + ) + }, + resolve=lambda _obj, info, ids: [fetch_by_id(id_, info) for id_ in ids], + ) + + return GraphQLNodeDefinitions(node_interface, node_field, nodes_field) + + +class ResolvedGlobalId(NamedTuple): + + type: str + id: str + + +def to_global_id(type_: str, id_: Union[str, int]) -> str: + """ + Takes a type name and an ID specific to that type name, and returns a + "global ID" that is unique among all types. + """ + return base64(f"{type_}:{GraphQLID.serialize(id_)}") + + +def from_global_id(global_id: str) -> ResolvedGlobalId: + """ + Takes the "global ID" created by to_global_id, and returns the type name and ID + used to create it. + """ + global_id = unbase64(global_id) + if ":" not in global_id: + return ResolvedGlobalId("", global_id) + return ResolvedGlobalId(*global_id.split(":", 1)) + + +def global_id_field( + type_name: Optional[str] = None, + id_fetcher: Optional[Callable[[Any, GraphQLResolveInfo], str]] = None, +) -> GraphQLField: + """ + Creates the configuration for an id field on a node, using `to_global_id` to + construct the ID from the provided typename. The type-specific ID is fetched + by calling id_fetcher on the object, or if not provided, by accessing the `id` + attribute of the object, or the `id` if the object is a dict. + """ + + def resolve(obj: Any, info: GraphQLResolveInfo, **_args: Any) -> str: + type_ = type_name or info.parent_type.name + id_ = ( + id_fetcher(obj, info) + if id_fetcher + else (obj["id"] if isinstance(obj, dict) else obj.id) + ) + return to_global_id(type_, id_) + + return GraphQLField( + GraphQLNonNull(GraphQLID), description="The ID of an object", resolve=resolve + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/node/plural.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/node/plural.py new file mode 100644 index 0000000000000000000000000000000000000000..870c37f45b352dbbbf41b4e1cc88a9b470438352 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/node/plural.py @@ -0,0 +1,41 @@ +from typing import Any, Callable, List, Optional + +from graphql import ( + GraphQLArgument, + GraphQLField, + GraphQLInputType, + GraphQLOutputType, + GraphQLList, + GraphQLNonNull, + GraphQLResolveInfo, + get_nullable_type, +) + +__all__ = ["plural_identifying_root_field"] + + +def plural_identifying_root_field( + arg_name: str, + input_type: GraphQLInputType, + output_type: GraphQLOutputType, + resolve_single_input: Callable[[GraphQLResolveInfo, str], Any], + description: Optional[str] = None, +) -> GraphQLField: + def resolve(_obj: Any, info: GraphQLResolveInfo, **args: Any) -> List: + inputs = args[arg_name] + return [resolve_single_input(info, input_) for input_ in inputs] + + return GraphQLField( + GraphQLList(output_type), + description=description, + args={ + arg_name: GraphQLArgument( + GraphQLNonNull( + GraphQLList( + GraphQLNonNull(get_nullable_type(input_type)) # type: ignore + ) + ) + ) + }, + resolve=resolve, + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/utils/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..2490b59425ba1c6d1fc11da92727d81f7003e738 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/utils/__init__.py @@ -0,0 +1,5 @@ +"""graphql_relay.utils""" + +from .base64 import base64, unbase64 + +__all__ = ["base64", "unbase64"] diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/utils/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/utils/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..c2340c1c0aaef73b7e9f0c2d6f7fe32abb58e402 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/utils/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/utils/__pycache__/base64.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/utils/__pycache__/base64.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ae475e2e18c6eb02bc5587aac9d94ca28f88e38f Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/utils/__pycache__/base64.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/utils/base64.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/utils/base64.py new file mode 100644 index 0000000000000000000000000000000000000000..a3ee9a6ffd633509cc1daf78abacc8d77eaca806 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/graphql_relay/utils/base64.py @@ -0,0 +1,24 @@ +from base64 import b64encode, b64decode +import binascii + +__all__ = ["base64", "unbase64"] + +Base64String = str + + +def base64(s: str) -> Base64String: + """Encode the string s using Base64.""" + b: bytes = s.encode("utf-8") if isinstance(s, str) else s + return b64encode(b).decode("ascii") + + +def unbase64(s: Base64String) -> str: + """Decode the string s using Base64.""" + try: + b: bytes = s.encode("ascii") if isinstance(s, str) else s + except UnicodeEncodeError: + return "" + try: + return b64decode(b).decode("utf-8") + except (binascii.Error, UnicodeDecodeError): + return "" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet-3.2.4.dist-info/licenses/LICENSE b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet-3.2.4.dist-info/licenses/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..b73a4a10c6fa93a3a6fa47deb3796c590a9dee10 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet-3.2.4.dist-info/licenses/LICENSE @@ -0,0 +1,30 @@ +The following files are derived from Stackless Python and are subject to the +same license as Stackless Python: + + src/greenlet/slp_platformselect.h + files in src/greenlet/platform/ directory + +See LICENSE.PSF and http://www.stackless.com/ for details. + +Unless otherwise noted, the files in greenlet have been released under the +following MIT license: + +Copyright (c) Armin Rigo, Christian Tismer and contributors + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +THE SOFTWARE. diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet-3.2.4.dist-info/licenses/LICENSE.PSF b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet-3.2.4.dist-info/licenses/LICENSE.PSF new file mode 100644 index 0000000000000000000000000000000000000000..d3b509a2b4119c47ad86af9fc1b400ce2eb09cf1 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet-3.2.4.dist-info/licenses/LICENSE.PSF @@ -0,0 +1,47 @@ +PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2 +-------------------------------------------- + +1. This LICENSE AGREEMENT is between the Python Software Foundation +("PSF"), and the Individual or Organization ("Licensee") accessing and +otherwise using this software ("Python") in source or binary form and +its associated documentation. + +2. Subject to the terms and conditions of this License Agreement, PSF hereby +grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce, +analyze, test, perform and/or display publicly, prepare derivative works, +distribute, and otherwise use Python alone or in any derivative version, +provided, however, that PSF's License Agreement and PSF's notice of copyright, +i.e., "Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, +2011 Python Software Foundation; All Rights Reserved" are retained in Python +alone or in any derivative version prepared by Licensee. + +3. 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By copying, installing or otherwise using Python, Licensee +agrees to be bound by the terms and conditions of this License +Agreement. diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..5afa071d496de590acb15503a0a2d5bce4d2c21d Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..c227c4dab46704f805ee64b70f250d5dbf8622b1 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/setup_switch_x64_masm.cmd b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/setup_switch_x64_masm.cmd new file mode 100644 index 0000000000000000000000000000000000000000..092859555c23a6802d44761f96f5d35a456a7e8b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/setup_switch_x64_masm.cmd @@ -0,0 +1,2 @@ +call "C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\vcvarsall.bat" amd64 +ml64 /nologo /c /Fo switch_x64_masm.obj switch_x64_masm.asm diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_aarch64_gcc.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_aarch64_gcc.h new file mode 100644 index 0000000000000000000000000000000000000000..058617c40982fa9deb804b4046c1bc71809eecdb --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_aarch64_gcc.h @@ -0,0 +1,124 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 07-Sep-16 Add clang support using x register naming. Fredrik Fornwall + * 13-Apr-13 Add support for strange GCC caller-save decisions + * 08-Apr-13 File creation. Michael Matz + * + * NOTES + * + * Simply save all callee saved registers + * + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL +#define STACK_MAGIC 0 +#define REGS_TO_SAVE "x19", "x20", "x21", "x22", "x23", "x24", "x25", "x26", \ + "x27", "x28", "x30" /* aka lr */, \ + "v8", "v9", "v10", "v11", \ + "v12", "v13", "v14", "v15" + +/* + * Recall: + asm asm-qualifiers ( AssemblerTemplate + : OutputOperands + [ : InputOperands + [ : Clobbers ] ]) + + or (if asm-qualifiers contains 'goto') + + asm asm-qualifiers ( AssemblerTemplate + : OutputOperands + : InputOperands + : Clobbers + : GotoLabels) + + and OutputOperands are + + [ [asmSymbolicName] ] constraint (cvariablename) + + When a name is given, refer to it as ``%[the name]``. + When not given, ``%i`` where ``i`` is the zero-based index. + + constraints starting with ``=`` means only writing; ``+`` means + reading and writing. + + This is followed by ``r`` (must be register) or ``m`` (must be memory) + and these can be combined. + + The ``cvariablename`` is actually an lvalue expression. + + In AArch65, 31 general purpose registers. If named X0... they are + 64-bit. If named W0... they are the bottom 32 bits of the + corresponding 64 bit register. + + XZR and WZR are hardcoded to 0, and ignore writes. + + Arguments are in X0..X7. C++ uses X0 for ``this``. X0 holds simple return + values (?) + + Whenever a W register is written, the top half of the X register is zeroed. + */ + +static int +slp_switch(void) +{ + int err; + void *fp; + /* Windowz uses a 32-bit long on a 64-bit platform, unlike the rest of + the world, and in theory we can be compiled with GCC/llvm on 64-bit + windows. So we need a fixed-width type. + */ + int64_t *stackref, stsizediff; + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("str x29, %0" : "=m"(fp) : : ); + __asm__ ("mov %0, sp" : "=r" (stackref)); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "add sp,sp,%0\n" + "add x29,x29,%0\n" + : + : "r" (stsizediff) + ); + SLP_RESTORE_STATE(); + /* SLP_SAVE_STATE macro contains some return statements + (of -1 and 1). It falls through only when + the return value of slp_save_state() is zero, which + is placed in x0. + In that case we (slp_switch) also want to return zero + (also in x0 of course). + Now, some GCC versions (seen with 4.8) think it's a + good idea to save/restore x0 around the call to + slp_restore_state(), instead of simply zeroing it + at the return below. But slp_restore_state + writes random values to the stack slot used for this + save/restore (from when it once was saved above in + SLP_SAVE_STATE, when it was still uninitialized), so + "restoring" that precious zero actually makes us + return random values. There are some ways to make + GCC not use that zero value in the normal return path + (e.g. making err volatile, but that costs a little + stack space), and the simplest is to call a function + that returns an unknown value (which happens to be zero), + so the saved/restored value is unused. + + Thus, this line stores a 0 into the ``err`` variable + (which must be held in a register for this instruction, + of course). The ``w`` qualifier causes the instruction + to use W0 instead of X0, otherwise we get a warning + about a value size mismatch (because err is an int, + and aarch64 platforms are LP64: 32-bit int, 64 bit long + and pointer). + */ + __asm__ volatile ("mov %w0, #0" : "=r" (err)); + } + __asm__ volatile ("ldr x29, %0" : : "m" (fp) :); + __asm__ volatile ("" : : : REGS_TO_SAVE); + return err; +} + +#endif diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_alpha_unix.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_alpha_unix.h new file mode 100644 index 0000000000000000000000000000000000000000..7e07abfc27d778e815a628b3fa1a6a5642e6555f --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_alpha_unix.h @@ -0,0 +1,30 @@ +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL +#define STACK_MAGIC 0 + +#define REGS_TO_SAVE "$9", "$10", "$11", "$12", "$13", "$14", "$15", \ + "$f2", "$f3", "$f4", "$f5", "$f6", "$f7", "$f8", "$f9" + +static int +slp_switch(void) +{ + int ret; + long *stackref, stsizediff; + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("mov $30, %0" : "=r" (stackref) : ); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "addq $30, %0, $30\n\t" + : /* no outputs */ + : "r" (stsizediff) + ); + SLP_RESTORE_STATE(); + } + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("mov $31, %0" : "=r" (ret) : ); + return ret; +} + +#endif diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_amd64_unix.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_amd64_unix.h new file mode 100644 index 0000000000000000000000000000000000000000..d4701105fb8f88820b174832db34da5b7c309a0c --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_amd64_unix.h @@ -0,0 +1,87 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 3-May-13 Ralf Schmitt + * Add support for strange GCC caller-save decisions + * (ported from switch_aarch64_gcc.h) + * 18-Aug-11 Alexey Borzenkov + * Correctly save rbp, csr and cw + * 01-Apr-04 Hye-Shik Chang + * Ported from i386 to amd64. + * 24-Nov-02 Christian Tismer + * needed to add another magic constant to insure + * that f in slp_eval_frame(PyFrameObject *f) + * STACK_REFPLUS will probably be 1 in most cases. + * gets included into the saved stack area. + * 17-Sep-02 Christian Tismer + * after virtualizing stack save/restore, the + * stack size shrunk a bit. Needed to introduce + * an adjustment STACK_MAGIC per platform. + * 15-Sep-02 Gerd Woetzel + * slightly changed framework for spark + * 31-Avr-02 Armin Rigo + * Added ebx, esi and edi register-saves. + * 01-Mar-02 Samual M. Rushing + * Ported from i386. + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL + +/* #define STACK_MAGIC 3 */ +/* the above works fine with gcc 2.96, but 2.95.3 wants this */ +#define STACK_MAGIC 0 + +#define REGS_TO_SAVE "r12", "r13", "r14", "r15" + +static int +slp_switch(void) +{ + int err; + void* rbp; + void* rbx; + unsigned int csr; + unsigned short cw; + /* This used to be declared 'register', but that does nothing in + modern compilers and is explicitly forbidden in some new + standards. */ + long *stackref, stsizediff; + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("fstcw %0" : "=m" (cw)); + __asm__ volatile ("stmxcsr %0" : "=m" (csr)); + __asm__ volatile ("movq %%rbp, %0" : "=m" (rbp)); + __asm__ volatile ("movq %%rbx, %0" : "=m" (rbx)); + __asm__ ("movq %%rsp, %0" : "=g" (stackref)); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "addq %0, %%rsp\n" + "addq %0, %%rbp\n" + : + : "r" (stsizediff) + ); + SLP_RESTORE_STATE(); + __asm__ volatile ("xorq %%rax, %%rax" : "=a" (err)); + } + __asm__ volatile ("movq %0, %%rbx" : : "m" (rbx)); + __asm__ volatile ("movq %0, %%rbp" : : "m" (rbp)); + __asm__ volatile ("ldmxcsr %0" : : "m" (csr)); + __asm__ volatile ("fldcw %0" : : "m" (cw)); + __asm__ volatile ("" : : : REGS_TO_SAVE); + return err; +} + +#endif + +/* + * further self-processing support + */ + +/* + * if you want to add self-inspection tools, place them + * here. See the x86_msvc for the necessary defines. + * These features are highly experimental und not + * essential yet. + */ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm32_gcc.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm32_gcc.h new file mode 100644 index 0000000000000000000000000000000000000000..655003aa12ca3ba9bba634a879f702c2789e050e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm32_gcc.h @@ -0,0 +1,79 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 14-Aug-06 File creation. Ported from Arm Thumb. Sylvain Baro + * 3-Sep-06 Commented out saving of r1-r3 (r4 already commented out) as I + * read that these do not need to be saved. Also added notes and + * errors related to the frame pointer. Richard Tew. + * + * NOTES + * + * It is not possible to detect if fp is used or not, so the supplied + * switch function needs to support it, so that you can remove it if + * it does not apply to you. + * + * POSSIBLE ERRORS + * + * "fp cannot be used in asm here" + * + * - Try commenting out "fp" in REGS_TO_SAVE. + * + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL +#define STACK_MAGIC 0 +#define REG_SP "sp" +#define REG_SPSP "sp,sp" +#ifdef __thumb__ +#define REG_FP "r7" +#define REG_FPFP "r7,r7" +#define REGS_TO_SAVE_GENERAL "r4", "r5", "r6", "r8", "r9", "r10", "r11", "lr" +#else +#define REG_FP "fp" +#define REG_FPFP "fp,fp" +#define REGS_TO_SAVE_GENERAL "r4", "r5", "r6", "r7", "r8", "r9", "r10", "lr" +#endif +#if defined(__SOFTFP__) +#define REGS_TO_SAVE REGS_TO_SAVE_GENERAL +#elif defined(__VFP_FP__) +#define REGS_TO_SAVE REGS_TO_SAVE_GENERAL, "d8", "d9", "d10", "d11", \ + "d12", "d13", "d14", "d15" +#elif defined(__MAVERICK__) +#define REGS_TO_SAVE REGS_TO_SAVE_GENERAL, "mvf4", "mvf5", "mvf6", "mvf7", \ + "mvf8", "mvf9", "mvf10", "mvf11", \ + "mvf12", "mvf13", "mvf14", "mvf15" +#else +#define REGS_TO_SAVE REGS_TO_SAVE_GENERAL, "f4", "f5", "f6", "f7" +#endif + +static int +#ifdef __GNUC__ +__attribute__((optimize("no-omit-frame-pointer"))) +#endif +slp_switch(void) +{ + void *fp; + int *stackref, stsizediff; + int result; + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("mov r0," REG_FP "\n\tstr r0,%0" : "=m" (fp) : : "r0"); + __asm__ ("mov %0," REG_SP : "=r" (stackref)); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "add " REG_SPSP ",%0\n" + "add " REG_FPFP ",%0\n" + : + : "r" (stsizediff) + ); + SLP_RESTORE_STATE(); + } + __asm__ volatile ("ldr r0,%1\n\tmov " REG_FP ",r0\n\tmov %0, #0" : "=r" (result) : "m" (fp) : "r0"); + __asm__ volatile ("" : : : REGS_TO_SAVE); + return result; +} + +#endif diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm32_ios.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm32_ios.h new file mode 100644 index 0000000000000000000000000000000000000000..9e640e15f1a595cd086549041fc944d41d3fc3ae --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm32_ios.h @@ -0,0 +1,67 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 31-May-15 iOS support. Ported from arm32. Proton + * + * NOTES + * + * It is not possible to detect if fp is used or not, so the supplied + * switch function needs to support it, so that you can remove it if + * it does not apply to you. + * + * POSSIBLE ERRORS + * + * "fp cannot be used in asm here" + * + * - Try commenting out "fp" in REGS_TO_SAVE. + * + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL + +#define STACK_MAGIC 0 +#define REG_SP "sp" +#define REG_SPSP "sp,sp" +#define REG_FP "r7" +#define REG_FPFP "r7,r7" +#define REGS_TO_SAVE_GENERAL "r4", "r5", "r6", "r8", "r10", "r11", "lr" +#define REGS_TO_SAVE REGS_TO_SAVE_GENERAL, "d8", "d9", "d10", "d11", \ + "d12", "d13", "d14", "d15" + +static int +#ifdef __GNUC__ +__attribute__((optimize("no-omit-frame-pointer"))) +#endif +slp_switch(void) +{ + void *fp; + int *stackref, stsizediff, result; + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("str " REG_FP ",%0" : "=m" (fp)); + __asm__ ("mov %0," REG_SP : "=r" (stackref)); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "add " REG_SPSP ",%0\n" + "add " REG_FPFP ",%0\n" + : + : "r" (stsizediff) + : REGS_TO_SAVE /* Clobber registers, force compiler to + * recalculate address of void *fp from REG_SP or REG_FP */ + ); + SLP_RESTORE_STATE(); + } + __asm__ volatile ( + "ldr " REG_FP ", %1\n\t" + "mov %0, #0" + : "=r" (result) + : "m" (fp) + : REGS_TO_SAVE /* Force compiler to restore saved registers after this */ + ); + return result; +} + +#endif diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm64_masm.asm b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm64_masm.asm new file mode 100644 index 0000000000000000000000000000000000000000..29f9c225e296ab9a088318f14de35ca0496d1801 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm64_masm.asm @@ -0,0 +1,53 @@ + AREA switch_arm64_masm, CODE, READONLY; + GLOBAL slp_switch [FUNC] + EXTERN slp_save_state_asm + EXTERN slp_restore_state_asm + +slp_switch + ; push callee saved registers to stack + stp x19, x20, [sp, #-16]! + stp x21, x22, [sp, #-16]! + stp x23, x24, [sp, #-16]! + stp x25, x26, [sp, #-16]! + stp x27, x28, [sp, #-16]! + stp x29, x30, [sp, #-16]! + stp d8, d9, [sp, #-16]! + stp d10, d11, [sp, #-16]! + stp d12, d13, [sp, #-16]! + stp d14, d15, [sp, #-16]! + + ; call slp_save_state_asm with stack pointer + mov x0, sp + bl slp_save_state_asm + + ; early return for return value of 1 and -1 + cmp x0, #-1 + b.eq RETURN + cmp x0, #1 + b.eq RETURN + + ; increment stack and frame pointer + add sp, sp, x0 + add x29, x29, x0 + + bl slp_restore_state_asm + + ; store return value for successful completion of routine + mov x0, #0 + +RETURN + ; pop registers from stack + ldp d14, d15, [sp], #16 + ldp d12, d13, [sp], #16 + ldp d10, d11, [sp], #16 + ldp d8, d9, [sp], #16 + ldp x29, x30, [sp], #16 + ldp x27, x28, [sp], #16 + ldp x25, x26, [sp], #16 + ldp x23, x24, [sp], #16 + ldp x21, x22, [sp], #16 + ldp x19, x20, [sp], #16 + + ret + + END diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm64_masm.obj b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm64_masm.obj new file mode 100644 index 0000000000000000000000000000000000000000..f6f220e4310baaa9756110685ce7d6a2bdf90c37 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm64_masm.obj differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm64_msvc.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm64_msvc.h new file mode 100644 index 0000000000000000000000000000000000000000..7ab7f45be54a99bb2fef01fadb1cd9d1baefe393 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_arm64_msvc.h @@ -0,0 +1,17 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 21-Oct-21 Niyas Sait + * First version to enable win/arm64 support. + */ + +#define STACK_REFPLUS 1 +#define STACK_MAGIC 0 + +/* Use the generic support for an external assembly language slp_switch function. */ +#define EXTERNAL_ASM + +#ifdef SLP_EVAL +/* This always uses the external masm assembly file. */ +#endif \ No newline at end of file diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_csky_gcc.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_csky_gcc.h new file mode 100644 index 0000000000000000000000000000000000000000..ac469d3a0c68c51c3b12ee08e94c08291472f697 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_csky_gcc.h @@ -0,0 +1,48 @@ +#ifdef SLP_EVAL +#define STACK_MAGIC 0 +#define REG_FP "r8" +#ifdef __CSKYABIV2__ +#define REGS_TO_SAVE_GENERAL "r4", "r5", "r6", "r7", "r9", "r10", "r11", "r15",\ + "r16", "r17", "r18", "r19", "r20", "r21", "r22",\ + "r23", "r24", "r25" + +#if defined (__CSKY_HARD_FLOAT__) || (__CSKY_VDSP__) +#define REGS_TO_SAVE REGS_TO_SAVE_GENERAL, "vr8", "vr9", "vr10", "vr11", "vr12",\ + "vr13", "vr14", "vr15" +#else +#define REGS_TO_SAVE REGS_TO_SAVE_GENERAL +#endif +#else +#define REGS_TO_SAVE "r9", "r10", "r11", "r12", "r13", "r15" +#endif + + +static int +#ifdef __GNUC__ +__attribute__((optimize("no-omit-frame-pointer"))) +#endif +slp_switch(void) +{ + int *stackref, stsizediff; + int result; + + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ ("mov %0, sp" : "=r" (stackref)); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "addu sp,%0\n" + "addu "REG_FP",%0\n" + : + : "r" (stsizediff) + ); + + SLP_RESTORE_STATE(); + } + __asm__ volatile ("movi %0, 0" : "=r" (result)); + __asm__ volatile ("" : : : REGS_TO_SAVE); + + return result; +} + +#endif diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_loongarch64_linux.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_loongarch64_linux.h new file mode 100644 index 0000000000000000000000000000000000000000..9eaf34ef4328ff3c91e0363f793c4a575063cea4 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_loongarch64_linux.h @@ -0,0 +1,31 @@ +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL +#define STACK_MAGIC 0 + +#define REGS_TO_SAVE "s0", "s1", "s2", "s3", "s4", "s5", \ + "s6", "s7", "s8", "fp", \ + "f24", "f25", "f26", "f27", "f28", "f29", "f30", "f31" + +static int +slp_switch(void) +{ + int ret; + long *stackref, stsizediff; + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("move %0, $sp" : "=r" (stackref) : ); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "add.d $sp, $sp, %0\n\t" + : /* no outputs */ + : "r" (stsizediff) + ); + SLP_RESTORE_STATE(); + } + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("move %0, $zero" : "=r" (ret) : ); + return ret; +} + +#endif diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_m68k_gcc.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_m68k_gcc.h new file mode 100644 index 0000000000000000000000000000000000000000..da761c2da81825aad0463af2c5864c2d9d8580e2 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_m68k_gcc.h @@ -0,0 +1,38 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 2014-01-06 Andreas Schwab + * File created. + */ + +#ifdef SLP_EVAL + +#define STACK_MAGIC 0 + +#define REGS_TO_SAVE "%d2", "%d3", "%d4", "%d5", "%d6", "%d7", \ + "%a2", "%a3", "%a4" + +static int +slp_switch(void) +{ + int err; + int *stackref, stsizediff; + void *fp, *a5; + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("move.l %%fp, %0" : "=m"(fp)); + __asm__ volatile ("move.l %%a5, %0" : "=m"(a5)); + __asm__ ("move.l %%sp, %0" : "=r"(stackref)); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ("add.l %0, %%sp; add.l %0, %%fp" : : "r"(stsizediff)); + SLP_RESTORE_STATE(); + __asm__ volatile ("clr.l %0" : "=g" (err)); + } + __asm__ volatile ("move.l %0, %%a5" : : "m"(a5)); + __asm__ volatile ("move.l %0, %%fp" : : "m"(fp)); + __asm__ volatile ("" : : : REGS_TO_SAVE); + return err; +} + +#endif diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_mips_unix.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_mips_unix.h new file mode 100644 index 0000000000000000000000000000000000000000..b9003e947d3c76cd4a79d6ada2fe78ddd3235361 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_mips_unix.h @@ -0,0 +1,64 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 20-Sep-14 Matt Madison + * Re-code the saving of the gp register for MIPS64. + * 05-Jan-08 Thiemo Seufer + * Ported from ppc. + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL + +#define STACK_MAGIC 0 + +#define REGS_TO_SAVE "$16", "$17", "$18", "$19", "$20", "$21", "$22", \ + "$23", "$30" +static int +slp_switch(void) +{ + int err; + int *stackref, stsizediff; +#ifdef __mips64 + uint64_t gpsave; +#endif + __asm__ __volatile__ ("" : : : REGS_TO_SAVE); +#ifdef __mips64 + __asm__ __volatile__ ("sd $28,%0" : "=m" (gpsave) : : ); +#endif + __asm__ ("move %0, $29" : "=r" (stackref) : ); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ __volatile__ ( +#ifdef __mips64 + "daddu $29, %0\n" +#else + "addu $29, %0\n" +#endif + : /* no outputs */ + : "r" (stsizediff) + ); + SLP_RESTORE_STATE(); + } +#ifdef __mips64 + __asm__ __volatile__ ("ld $28,%0" : : "m" (gpsave) : ); +#endif + __asm__ __volatile__ ("" : : : REGS_TO_SAVE); + __asm__ __volatile__ ("move %0, $0" : "=r" (err)); + return err; +} + +#endif + +/* + * further self-processing support + */ + +/* + * if you want to add self-inspection tools, place them + * here. See the x86_msvc for the necessary defines. + * These features are highly experimental und not + * essential yet. + */ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc64_aix.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc64_aix.h new file mode 100644 index 0000000000000000000000000000000000000000..e7e0b87764c929c13fa01aa976b53db89562edfd --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc64_aix.h @@ -0,0 +1,103 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 16-Oct-20 Jesse Gorzinski + * Copied from Linux PPC64 implementation + * 04-Sep-18 Alexey Borzenkov + * Workaround a gcc bug using manual save/restore of r30 + * 21-Mar-18 Tulio Magno Quites Machado Filho + * Added r30 to the list of saved registers in order to fully comply with + * both ppc64 ELFv1 ABI and the ppc64le ELFv2 ABI, that classify this + * register as a nonvolatile register used for local variables. + * 21-Mar-18 Laszlo Boszormenyi + * Save r2 (TOC pointer) manually. + * 10-Dec-13 Ulrich Weigand + * Support ELFv2 ABI. Save float/vector registers. + * 09-Mar-12 Michael Ellerman + * 64-bit implementation, copied from 32-bit. + * 07-Sep-05 (py-dev mailing list discussion) + * removed 'r31' from the register-saved. !!!! WARNING !!!! + * It means that this file can no longer be compiled statically! + * It is now only suitable as part of a dynamic library! + * 14-Jan-04 Bob Ippolito + * added cr2-cr4 to the registers to be saved. + * Open questions: Should we save FP registers? + * What about vector registers? + * Differences between darwin and unix? + * 24-Nov-02 Christian Tismer + * needed to add another magic constant to insure + * that f in slp_eval_frame(PyFrameObject *f) + * STACK_REFPLUS will probably be 1 in most cases. + * gets included into the saved stack area. + * 04-Oct-02 Gustavo Niemeyer + * Ported from MacOS version. + * 17-Sep-02 Christian Tismer + * after virtualizing stack save/restore, the + * stack size shrunk a bit. Needed to introduce + * an adjustment STACK_MAGIC per platform. + * 15-Sep-02 Gerd Woetzel + * slightly changed framework for sparc + * 29-Jun-02 Christian Tismer + * Added register 13-29, 31 saves. The same way as + * Armin Rigo did for the x86_unix version. + * This seems to be now fully functional! + * 04-Mar-02 Hye-Shik Chang + * Ported from i386. + * 31-Jul-12 Trevor Bowen + * Changed memory constraints to register only. + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL + +#define STACK_MAGIC 6 + +#if defined(__ALTIVEC__) +#define ALTIVEC_REGS \ + "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", \ + "v28", "v29", "v30", "v31", +#else +#define ALTIVEC_REGS +#endif + +#define REGS_TO_SAVE "r14", "r15", "r16", "r17", "r18", "r19", "r20", \ + "r21", "r22", "r23", "r24", "r25", "r26", "r27", "r28", "r29", \ + "r31", \ + "fr14", "fr15", "fr16", "fr17", "fr18", "fr19", "fr20", "fr21", \ + "fr22", "fr23", "fr24", "fr25", "fr26", "fr27", "fr28", "fr29", \ + "fr30", "fr31", \ + ALTIVEC_REGS \ + "cr2", "cr3", "cr4" + +static int +slp_switch(void) +{ + int err; + long *stackref, stsizediff; + void * toc; + void * r30; + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("std 2, %0" : "=m" (toc)); + __asm__ volatile ("std 30, %0" : "=m" (r30)); + __asm__ ("mr %0, 1" : "=r" (stackref) : ); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "mr 11, %0\n" + "add 1, 1, 11\n" + : /* no outputs */ + : "r" (stsizediff) + : "11" + ); + SLP_RESTORE_STATE(); + } + __asm__ volatile ("ld 30, %0" : : "m" (r30)); + __asm__ volatile ("ld 2, %0" : : "m" (toc)); + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("li %0, 0" : "=r" (err)); + return err; +} + +#endif diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc64_linux.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc64_linux.h new file mode 100644 index 0000000000000000000000000000000000000000..3c324d00c62894f7fdc04dd0c6b52b13c3e3c606 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc64_linux.h @@ -0,0 +1,105 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 04-Sep-18 Alexey Borzenkov + * Workaround a gcc bug using manual save/restore of r30 + * 21-Mar-18 Tulio Magno Quites Machado Filho + * Added r30 to the list of saved registers in order to fully comply with + * both ppc64 ELFv1 ABI and the ppc64le ELFv2 ABI, that classify this + * register as a nonvolatile register used for local variables. + * 21-Mar-18 Laszlo Boszormenyi + * Save r2 (TOC pointer) manually. + * 10-Dec-13 Ulrich Weigand + * Support ELFv2 ABI. Save float/vector registers. + * 09-Mar-12 Michael Ellerman + * 64-bit implementation, copied from 32-bit. + * 07-Sep-05 (py-dev mailing list discussion) + * removed 'r31' from the register-saved. !!!! WARNING !!!! + * It means that this file can no longer be compiled statically! + * It is now only suitable as part of a dynamic library! + * 14-Jan-04 Bob Ippolito + * added cr2-cr4 to the registers to be saved. + * Open questions: Should we save FP registers? + * What about vector registers? + * Differences between darwin and unix? + * 24-Nov-02 Christian Tismer + * needed to add another magic constant to insure + * that f in slp_eval_frame(PyFrameObject *f) + * STACK_REFPLUS will probably be 1 in most cases. + * gets included into the saved stack area. + * 04-Oct-02 Gustavo Niemeyer + * Ported from MacOS version. + * 17-Sep-02 Christian Tismer + * after virtualizing stack save/restore, the + * stack size shrunk a bit. Needed to introduce + * an adjustment STACK_MAGIC per platform. + * 15-Sep-02 Gerd Woetzel + * slightly changed framework for sparc + * 29-Jun-02 Christian Tismer + * Added register 13-29, 31 saves. The same way as + * Armin Rigo did for the x86_unix version. + * This seems to be now fully functional! + * 04-Mar-02 Hye-Shik Chang + * Ported from i386. + * 31-Jul-12 Trevor Bowen + * Changed memory constraints to register only. + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL + +#if _CALL_ELF == 2 +#define STACK_MAGIC 4 +#else +#define STACK_MAGIC 6 +#endif + +#if defined(__ALTIVEC__) +#define ALTIVEC_REGS \ + "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", \ + "v28", "v29", "v30", "v31", +#else +#define ALTIVEC_REGS +#endif + +#define REGS_TO_SAVE "r14", "r15", "r16", "r17", "r18", "r19", "r20", \ + "r21", "r22", "r23", "r24", "r25", "r26", "r27", "r28", "r29", \ + "r31", \ + "fr14", "fr15", "fr16", "fr17", "fr18", "fr19", "fr20", "fr21", \ + "fr22", "fr23", "fr24", "fr25", "fr26", "fr27", "fr28", "fr29", \ + "fr30", "fr31", \ + ALTIVEC_REGS \ + "cr2", "cr3", "cr4" + +static int +slp_switch(void) +{ + int err; + long *stackref, stsizediff; + void * toc; + void * r30; + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("std 2, %0" : "=m" (toc)); + __asm__ volatile ("std 30, %0" : "=m" (r30)); + __asm__ ("mr %0, 1" : "=r" (stackref) : ); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "mr 11, %0\n" + "add 1, 1, 11\n" + : /* no outputs */ + : "r" (stsizediff) + : "11" + ); + SLP_RESTORE_STATE(); + } + __asm__ volatile ("ld 30, %0" : : "m" (r30)); + __asm__ volatile ("ld 2, %0" : : "m" (toc)); + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("li %0, 0" : "=r" (err)); + return err; +} + +#endif diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc_aix.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc_aix.h new file mode 100644 index 0000000000000000000000000000000000000000..6d93c13266a623bc2b0d59ff2db7f7224fe3b347 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc_aix.h @@ -0,0 +1,87 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 07-Mar-11 Floris Bruynooghe + * Do not add stsizediff to general purpose + * register (GPR) 30 as this is a non-volatile and + * unused by the PowerOpen Environment, therefore + * this was modifying a user register instead of the + * frame pointer (which does not seem to exist). + * 07-Sep-05 (py-dev mailing list discussion) + * removed 'r31' from the register-saved. !!!! WARNING !!!! + * It means that this file can no longer be compiled statically! + * It is now only suitable as part of a dynamic library! + * 14-Jan-04 Bob Ippolito + * added cr2-cr4 to the registers to be saved. + * Open questions: Should we save FP registers? + * What about vector registers? + * Differences between darwin and unix? + * 24-Nov-02 Christian Tismer + * needed to add another magic constant to insure + * that f in slp_eval_frame(PyFrameObject *f) + * STACK_REFPLUS will probably be 1 in most cases. + * gets included into the saved stack area. + * 04-Oct-02 Gustavo Niemeyer + * Ported from MacOS version. + * 17-Sep-02 Christian Tismer + * after virtualizing stack save/restore, the + * stack size shrunk a bit. Needed to introduce + * an adjustment STACK_MAGIC per platform. + * 15-Sep-02 Gerd Woetzel + * slightly changed framework for sparc + * 29-Jun-02 Christian Tismer + * Added register 13-29, 31 saves. The same way as + * Armin Rigo did for the x86_unix version. + * This seems to be now fully functional! + * 04-Mar-02 Hye-Shik Chang + * Ported from i386. + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL + +#define STACK_MAGIC 3 + +/* !!!!WARNING!!!! need to add "r31" in the next line if this header file + * is meant to be compiled non-dynamically! + */ +#define REGS_TO_SAVE "r13", "r14", "r15", "r16", "r17", "r18", "r19", "r20", \ + "r21", "r22", "r23", "r24", "r25", "r26", "r27", "r28", "r29", \ + "cr2", "cr3", "cr4" +static int +slp_switch(void) +{ + int err; + int *stackref, stsizediff; + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ ("mr %0, 1" : "=r" (stackref) : ); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "mr 11, %0\n" + "add 1, 1, 11\n" + : /* no outputs */ + : "r" (stsizediff) + : "11" + ); + SLP_RESTORE_STATE(); + } + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("li %0, 0" : "=r" (err)); + return err; +} + +#endif + +/* + * further self-processing support + */ + +/* + * if you want to add self-inspection tools, place them + * here. See the x86_msvc for the necessary defines. + * These features are highly experimental und not + * essential yet. + */ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc_linux.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc_linux.h new file mode 100644 index 0000000000000000000000000000000000000000..e83ad70a5f868265e9b1edaf27cd26feddfdf153 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc_linux.h @@ -0,0 +1,84 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 07-Sep-05 (py-dev mailing list discussion) + * removed 'r31' from the register-saved. !!!! WARNING !!!! + * It means that this file can no longer be compiled statically! + * It is now only suitable as part of a dynamic library! + * 14-Jan-04 Bob Ippolito + * added cr2-cr4 to the registers to be saved. + * Open questions: Should we save FP registers? + * What about vector registers? + * Differences between darwin and unix? + * 24-Nov-02 Christian Tismer + * needed to add another magic constant to insure + * that f in slp_eval_frame(PyFrameObject *f) + * STACK_REFPLUS will probably be 1 in most cases. + * gets included into the saved stack area. + * 04-Oct-02 Gustavo Niemeyer + * Ported from MacOS version. + * 17-Sep-02 Christian Tismer + * after virtualizing stack save/restore, the + * stack size shrunk a bit. Needed to introduce + * an adjustment STACK_MAGIC per platform. + * 15-Sep-02 Gerd Woetzel + * slightly changed framework for sparc + * 29-Jun-02 Christian Tismer + * Added register 13-29, 31 saves. The same way as + * Armin Rigo did for the x86_unix version. + * This seems to be now fully functional! + * 04-Mar-02 Hye-Shik Chang + * Ported from i386. + * 31-Jul-12 Trevor Bowen + * Changed memory constraints to register only. + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL + +#define STACK_MAGIC 3 + +/* !!!!WARNING!!!! need to add "r31" in the next line if this header file + * is meant to be compiled non-dynamically! + */ +#define REGS_TO_SAVE "r13", "r14", "r15", "r16", "r17", "r18", "r19", "r20", \ + "r21", "r22", "r23", "r24", "r25", "r26", "r27", "r28", "r29", \ + "cr2", "cr3", "cr4" +static int +slp_switch(void) +{ + int err; + int *stackref, stsizediff; + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ ("mr %0, 1" : "=r" (stackref) : ); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "mr 11, %0\n" + "add 1, 1, 11\n" + "add 30, 30, 11\n" + : /* no outputs */ + : "r" (stsizediff) + : "11" + ); + SLP_RESTORE_STATE(); + } + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("li %0, 0" : "=r" (err)); + return err; +} + +#endif + +/* + * further self-processing support + */ + +/* + * if you want to add self-inspection tools, place them + * here. See the x86_msvc for the necessary defines. + * These features are highly experimental und not + * essential yet. + */ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc_macosx.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc_macosx.h new file mode 100644 index 0000000000000000000000000000000000000000..bd414c68ee9bf079ad72f3350a227575714a64a6 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc_macosx.h @@ -0,0 +1,82 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 07-Sep-05 (py-dev mailing list discussion) + * removed 'r31' from the register-saved. !!!! WARNING !!!! + * It means that this file can no longer be compiled statically! + * It is now only suitable as part of a dynamic library! + * 14-Jan-04 Bob Ippolito + * added cr2-cr4 to the registers to be saved. + * Open questions: Should we save FP registers? + * What about vector registers? + * Differences between darwin and unix? + * 24-Nov-02 Christian Tismer + * needed to add another magic constant to insure + * that f in slp_eval_frame(PyFrameObject *f) + * STACK_REFPLUS will probably be 1 in most cases. + * gets included into the saved stack area. + * 17-Sep-02 Christian Tismer + * after virtualizing stack save/restore, the + * stack size shrunk a bit. Needed to introduce + * an adjustment STACK_MAGIC per platform. + * 15-Sep-02 Gerd Woetzel + * slightly changed framework for sparc + * 29-Jun-02 Christian Tismer + * Added register 13-29, 31 saves. The same way as + * Armin Rigo did for the x86_unix version. + * This seems to be now fully functional! + * 04-Mar-02 Hye-Shik Chang + * Ported from i386. + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL + +#define STACK_MAGIC 3 + +/* !!!!WARNING!!!! need to add "r31" in the next line if this header file + * is meant to be compiled non-dynamically! + */ +#define REGS_TO_SAVE "r13", "r14", "r15", "r16", "r17", "r18", "r19", "r20", \ + "r21", "r22", "r23", "r24", "r25", "r26", "r27", "r28", "r29", \ + "cr2", "cr3", "cr4" + +static int +slp_switch(void) +{ + int err; + int *stackref, stsizediff; + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ ("; asm block 2\n\tmr %0, r1" : "=r" (stackref) : ); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "; asm block 3\n" + "\tmr r11, %0\n" + "\tadd r1, r1, r11\n" + "\tadd r30, r30, r11\n" + : /* no outputs */ + : "r" (stsizediff) + : "r11" + ); + SLP_RESTORE_STATE(); + } + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("li %0, 0" : "=r" (err)); + return err; +} + +#endif + +/* + * further self-processing support + */ + +/* + * if you want to add self-inspection tools, place them + * here. See the x86_msvc for the necessary defines. + * These features are highly experimental und not + * essential yet. + */ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc_unix.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc_unix.h new file mode 100644 index 0000000000000000000000000000000000000000..bb188080a30b49a49c49084c5e3a36986136c11e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_ppc_unix.h @@ -0,0 +1,82 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 07-Sep-05 (py-dev mailing list discussion) + * removed 'r31' from the register-saved. !!!! WARNING !!!! + * It means that this file can no longer be compiled statically! + * It is now only suitable as part of a dynamic library! + * 14-Jan-04 Bob Ippolito + * added cr2-cr4 to the registers to be saved. + * Open questions: Should we save FP registers? + * What about vector registers? + * Differences between darwin and unix? + * 24-Nov-02 Christian Tismer + * needed to add another magic constant to insure + * that f in slp_eval_frame(PyFrameObject *f) + * STACK_REFPLUS will probably be 1 in most cases. + * gets included into the saved stack area. + * 04-Oct-02 Gustavo Niemeyer + * Ported from MacOS version. + * 17-Sep-02 Christian Tismer + * after virtualizing stack save/restore, the + * stack size shrunk a bit. Needed to introduce + * an adjustment STACK_MAGIC per platform. + * 15-Sep-02 Gerd Woetzel + * slightly changed framework for sparc + * 29-Jun-02 Christian Tismer + * Added register 13-29, 31 saves. The same way as + * Armin Rigo did for the x86_unix version. + * This seems to be now fully functional! + * 04-Mar-02 Hye-Shik Chang + * Ported from i386. + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL + +#define STACK_MAGIC 3 + +/* !!!!WARNING!!!! need to add "r31" in the next line if this header file + * is meant to be compiled non-dynamically! + */ +#define REGS_TO_SAVE "r13", "r14", "r15", "r16", "r17", "r18", "r19", "r20", \ + "r21", "r22", "r23", "r24", "r25", "r26", "r27", "r28", "r29", \ + "cr2", "cr3", "cr4" +static int +slp_switch(void) +{ + int err; + int *stackref, stsizediff; + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ ("mr %0, 1" : "=r" (stackref) : ); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "mr 11, %0\n" + "add 1, 1, 11\n" + "add 30, 30, 11\n" + : /* no outputs */ + : "r" (stsizediff) + : "11" + ); + SLP_RESTORE_STATE(); + } + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("li %0, 0" : "=r" (err)); + return err; +} + +#endif + +/* + * further self-processing support + */ + +/* + * if you want to add self-inspection tools, place them + * here. See the x86_msvc for the necessary defines. + * These features are highly experimental und not + * essential yet. + */ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_riscv_unix.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_riscv_unix.h new file mode 100644 index 0000000000000000000000000000000000000000..8761122237e1253b898bddb27e6ccc7a34c2daaa --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_riscv_unix.h @@ -0,0 +1,41 @@ +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL +#define STACK_MAGIC 0 + +#define REGS_TO_SAVE "s1", "s2", "s3", "s4", "s5", \ + "s6", "s7", "s8", "s9", "s10", "s11", "fs0", "fs1", \ + "fs2", "fs3", "fs4", "fs5", "fs6", "fs7", "fs8", "fs9", \ + "fs10", "fs11" + +static int +slp_switch(void) +{ + int ret; + long fp; + long *stackref, stsizediff; + + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("mv %0, fp" : "=r" (fp) : ); + __asm__ volatile ("mv %0, sp" : "=r" (stackref) : ); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "add sp, sp, %0\n\t" + "add fp, fp, %0\n\t" + : /* no outputs */ + : "r" (stsizediff) + ); + SLP_RESTORE_STATE(); + } + __asm__ volatile ("" : : : REGS_TO_SAVE); +#if __riscv_xlen == 32 + __asm__ volatile ("lw fp, %0" : : "m" (fp)); +#else + __asm__ volatile ("ld fp, %0" : : "m" (fp)); +#endif + __asm__ volatile ("mv %0, zero" : "=r" (ret) : ); + return ret; +} + +#endif diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_s390_unix.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_s390_unix.h new file mode 100644 index 0000000000000000000000000000000000000000..9199367f8b02d89856ed2be082a3aba6222df205 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_s390_unix.h @@ -0,0 +1,87 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 25-Jan-12 Alexey Borzenkov + * Fixed Linux/S390 port to work correctly with + * different optimization options both on 31-bit + * and 64-bit. Thanks to Stefan Raabe for lots + * of testing. + * 24-Nov-02 Christian Tismer + * needed to add another magic constant to insure + * that f in slp_eval_frame(PyFrameObject *f) + * STACK_REFPLUS will probably be 1 in most cases. + * gets included into the saved stack area. + * 06-Oct-02 Gustavo Niemeyer + * Ported to Linux/S390. + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL + +#ifdef __s390x__ +#define STACK_MAGIC 20 /* 20 * 8 = 160 bytes of function call area */ +#else +#define STACK_MAGIC 24 /* 24 * 4 = 96 bytes of function call area */ +#endif + +/* Technically, r11-r13 also need saving, but function prolog starts + with stm(g) and since there are so many saved registers already + it won't be optimized, resulting in all r6-r15 being saved */ +#define REGS_TO_SAVE "r6", "r7", "r8", "r9", "r10", "r14", \ + "f0", "f1", "f2", "f3", "f4", "f5", "f6", "f7", \ + "f8", "f9", "f10", "f11", "f12", "f13", "f14", "f15" + +static int +slp_switch(void) +{ + int ret; + long *stackref, stsizediff; + __asm__ volatile ("" : : : REGS_TO_SAVE); +#ifdef __s390x__ + __asm__ volatile ("lgr %0, 15" : "=r" (stackref) : ); +#else + __asm__ volatile ("lr %0, 15" : "=r" (stackref) : ); +#endif + { + SLP_SAVE_STATE(stackref, stsizediff); +/* N.B. + r11 may be used as the frame pointer, and in that case it cannot be + clobbered and needs offsetting just like the stack pointer (but in cases + where frame pointer isn't used we might clobber it accidentally). What's + scary is that r11 is 2nd (and even 1st when GOT is used) callee saved + register that gcc would chose for surviving function calls. However, + since r6-r10 are clobbered above, their cost for reuse is reduced, so + gcc IRA will chose them over r11 (not seeing r11 is implicitly saved), + making it relatively safe to offset in all cases. :) */ + __asm__ volatile ( +#ifdef __s390x__ + "agr 15, %0\n\t" + "agr 11, %0" +#else + "ar 15, %0\n\t" + "ar 11, %0" +#endif + : /* no outputs */ + : "r" (stsizediff) + ); + SLP_RESTORE_STATE(); + } + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("lhi %0, 0" : "=r" (ret) : ); + return ret; +} + +#endif + +/* + * further self-processing support + */ + +/* + * if you want to add self-inspection tools, place them + * here. See the x86_msvc for the necessary defines. + * These features are highly experimental und not + * essential yet. + */ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_sh_gcc.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_sh_gcc.h new file mode 100644 index 0000000000000000000000000000000000000000..5ecc3b3945d36d2c64c323b40de8c518002aa11b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_sh_gcc.h @@ -0,0 +1,36 @@ +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL +#define STACK_MAGIC 0 +#define REGS_TO_SAVE "r8", "r9", "r10", "r11", "r13", \ + "fr12", "fr13", "fr14", "fr15" + +// r12 Global context pointer, GP +// r14 Frame pointer, FP +// r15 Stack pointer, SP + +static int +slp_switch(void) +{ + int err; + void* fp; + int *stackref, stsizediff; + __asm__ volatile("" : : : REGS_TO_SAVE); + __asm__ volatile("mov.l r14, %0" : "=m"(fp) : :); + __asm__("mov r15, %0" : "=r"(stackref)); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile( + "add %0, r15\n" + "add %0, r14\n" + : /* no outputs */ + : "r"(stsizediff)); + SLP_RESTORE_STATE(); + __asm__ volatile("mov r0, %0" : "=r"(err) : :); + } + __asm__ volatile("mov.l %0, r14" : : "m"(fp) :); + __asm__ volatile("" : : : REGS_TO_SAVE); + return err; +} + +#endif diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_sparc_sun_gcc.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_sparc_sun_gcc.h new file mode 100644 index 0000000000000000000000000000000000000000..96990c391724c0dd2b3868ae220c929e16a73959 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_sparc_sun_gcc.h @@ -0,0 +1,92 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 16-May-15 Alexey Borzenkov + * Move stack spilling code inside save/restore functions + * 30-Aug-13 Floris Bruynooghe + Clean the register windows again before returning. + This does not clobber the PIC register as it leaves + the current window intact and is required for multi- + threaded code to work correctly. + * 08-Mar-11 Floris Bruynooghe + * No need to set return value register explicitly + * before the stack and framepointer are adjusted + * as none of the other registers are influenced by + * this. Also don't needlessly clean the windows + * ('ta %0" :: "i" (ST_CLEAN_WINDOWS)') as that + * clobbers the gcc PIC register (%l7). + * 24-Nov-02 Christian Tismer + * needed to add another magic constant to insure + * that f in slp_eval_frame(PyFrameObject *f) + * STACK_REFPLUS will probably be 1 in most cases. + * gets included into the saved stack area. + * 17-Sep-02 Christian Tismer + * after virtualizing stack save/restore, the + * stack size shrunk a bit. Needed to introduce + * an adjustment STACK_MAGIC per platform. + * 15-Sep-02 Gerd Woetzel + * added support for SunOS sparc with gcc + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL + + +#define STACK_MAGIC 0 + + +#if defined(__sparcv9) +#define SLP_FLUSHW __asm__ volatile ("flushw") +#else +#define SLP_FLUSHW __asm__ volatile ("ta 3") /* ST_FLUSH_WINDOWS */ +#endif + +/* On sparc we need to spill register windows inside save/restore functions */ +#define SLP_BEFORE_SAVE_STATE() SLP_FLUSHW +#define SLP_BEFORE_RESTORE_STATE() SLP_FLUSHW + + +static int +slp_switch(void) +{ + int err; + int *stackref, stsizediff; + + /* Put current stack pointer into stackref. + * Register spilling is done in save/restore. + */ + __asm__ volatile ("mov %%sp, %0" : "=r" (stackref)); + + { + /* Thou shalt put SLP_SAVE_STATE into a local block */ + /* Copy the current stack onto the heap */ + SLP_SAVE_STATE(stackref, stsizediff); + + /* Increment stack and frame pointer by stsizediff */ + __asm__ volatile ( + "add %0, %%sp, %%sp\n\t" + "add %0, %%fp, %%fp" + : : "r" (stsizediff)); + + /* Copy new stack from it's save store on the heap */ + SLP_RESTORE_STATE(); + + __asm__ volatile ("mov %1, %0" : "=r" (err) : "i" (0)); + return err; + } +} + +#endif + +/* + * further self-processing support + */ + +/* + * if you want to add self-inspection tools, place them + * here. See the x86_msvc for the necessary defines. + * These features are highly experimental und not + * essential yet. + */ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x32_unix.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x32_unix.h new file mode 100644 index 0000000000000000000000000000000000000000..893369c7a96aeafcbb030c4e13979d62cb587d08 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x32_unix.h @@ -0,0 +1,63 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 17-Aug-12 Fantix King + * Ported from amd64. + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL + +#define STACK_MAGIC 0 + +#define REGS_TO_SAVE "r12", "r13", "r14", "r15" + + +static int +slp_switch(void) +{ + void* ebp; + void* ebx; + unsigned int csr; + unsigned short cw; + int err; + int *stackref, stsizediff; + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("fstcw %0" : "=m" (cw)); + __asm__ volatile ("stmxcsr %0" : "=m" (csr)); + __asm__ volatile ("movl %%ebp, %0" : "=m" (ebp)); + __asm__ volatile ("movl %%ebx, %0" : "=m" (ebx)); + __asm__ ("movl %%esp, %0" : "=g" (stackref)); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "addl %0, %%esp\n" + "addl %0, %%ebp\n" + : + : "r" (stsizediff) + ); + SLP_RESTORE_STATE(); + } + __asm__ volatile ("movl %0, %%ebx" : : "m" (ebx)); + __asm__ volatile ("movl %0, %%ebp" : : "m" (ebp)); + __asm__ volatile ("ldmxcsr %0" : : "m" (csr)); + __asm__ volatile ("fldcw %0" : : "m" (cw)); + __asm__ volatile ("" : : : REGS_TO_SAVE); + __asm__ volatile ("xorl %%eax, %%eax" : "=a" (err)); + return err; +} + +#endif + +/* + * further self-processing support + */ + +/* + * if you want to add self-inspection tools, place them + * here. See the x86_msvc for the necessary defines. + * These features are highly experimental und not + * essential yet. + */ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x64_masm.asm b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x64_masm.asm new file mode 100644 index 0000000000000000000000000000000000000000..f5c72a27d5a020ce0d21553de5d7b3c6a1db4fdc --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x64_masm.asm @@ -0,0 +1,111 @@ +; +; stack switching code for MASM on x641 +; Kristjan Valur Jonsson, sept 2005 +; + + +;prototypes for our calls +slp_save_state_asm PROTO +slp_restore_state_asm PROTO + + +pushxmm MACRO reg + sub rsp, 16 + .allocstack 16 + movaps [rsp], reg ; faster than movups, but we must be aligned + ; .savexmm128 reg, offset (don't know what offset is, no documentation) +ENDM +popxmm MACRO reg + movaps reg, [rsp] ; faster than movups, but we must be aligned + add rsp, 16 +ENDM + +pushreg MACRO reg + push reg + .pushreg reg +ENDM +popreg MACRO reg + pop reg +ENDM + + +.code +slp_switch PROC FRAME + ;realign stack to 16 bytes after return address push, makes the following faster + sub rsp,8 + .allocstack 8 + + pushxmm xmm15 + pushxmm xmm14 + pushxmm xmm13 + pushxmm xmm12 + pushxmm xmm11 + pushxmm xmm10 + pushxmm xmm9 + pushxmm xmm8 + pushxmm xmm7 + pushxmm xmm6 + + pushreg r15 + pushreg r14 + pushreg r13 + pushreg r12 + + pushreg rbp + pushreg rbx + pushreg rdi + pushreg rsi + + sub rsp, 10h ;allocate the singlefunction argument (must be multiple of 16) + .allocstack 10h +.endprolog + + lea rcx, [rsp+10h] ;load stack base that we are saving + call slp_save_state_asm ;pass stackpointer, return offset in eax + cmp rax, 1 + je EXIT1 + cmp rax, -1 + je EXIT2 + ;actual stack switch: + add rsp, rax + call slp_restore_state_asm + xor rax, rax ;return 0 + +EXIT: + + add rsp, 10h + popreg rsi + popreg rdi + popreg rbx + popreg rbp + + popreg r12 + popreg r13 + popreg r14 + popreg r15 + + popxmm xmm6 + popxmm xmm7 + popxmm xmm8 + popxmm xmm9 + popxmm xmm10 + popxmm xmm11 + popxmm xmm12 + popxmm xmm13 + popxmm xmm14 + popxmm xmm15 + + add rsp, 8 + ret + +EXIT1: + mov rax, 1 + jmp EXIT + +EXIT2: + sar rax, 1 + jmp EXIT + +slp_switch ENDP + +END \ No newline at end of file diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x64_masm.obj b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x64_masm.obj new file mode 100644 index 0000000000000000000000000000000000000000..64e3e6b898ec765d4e37075f7b1635ad24c9efa2 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x64_masm.obj differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x64_msvc.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x64_msvc.h new file mode 100644 index 0000000000000000000000000000000000000000..601ea56053cfa03bd99dce523d0aaec7f240276b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x64_msvc.h @@ -0,0 +1,60 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 24-Nov-02 Christian Tismer + * needed to add another magic constant to insure + * that f in slp_eval_frame(PyFrameObject *f) + * STACK_REFPLUS will probably be 1 in most cases. + * gets included into the saved stack area. + * 26-Sep-02 Christian Tismer + * again as a result of virtualized stack access, + * the compiler used less registers. Needed to + * explicit mention registers in order to get them saved. + * Thanks to Jeff Senn for pointing this out and help. + * 17-Sep-02 Christian Tismer + * after virtualizing stack save/restore, the + * stack size shrunk a bit. Needed to introduce + * an adjustment STACK_MAGIC per platform. + * 15-Sep-02 Gerd Woetzel + * slightly changed framework for sparc + * 01-Mar-02 Christian Tismer + * Initial final version after lots of iterations for i386. + */ + +/* Avoid alloca redefined warning on mingw64 */ +#ifndef alloca +#define alloca _alloca +#endif + +#define STACK_REFPLUS 1 +#define STACK_MAGIC 0 + +/* Use the generic support for an external assembly language slp_switch function. */ +#define EXTERNAL_ASM + +#ifdef SLP_EVAL +/* This always uses the external masm assembly file. */ +#endif + +/* + * further self-processing support + */ + +/* we have IsBadReadPtr available, so we can peek at objects */ +/* +#define STACKLESS_SPY + +#ifdef IMPLEMENT_STACKLESSMODULE +#include "Windows.h" +#define CANNOT_READ_MEM(p, bytes) IsBadReadPtr(p, bytes) + +static int IS_ON_STACK(void*p) +{ + int stackref; + intptr_t stackbase = ((intptr_t)&stackref) & 0xfffff000; + return (intptr_t)p >= stackbase && (intptr_t)p < stackbase + 0x00100000; +} + +#endif +*/ \ No newline at end of file diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x86_msvc.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x86_msvc.h new file mode 100644 index 0000000000000000000000000000000000000000..0f3a59f52d1ec6da8f88d1911aa13d600b687350 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x86_msvc.h @@ -0,0 +1,326 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 24-Nov-02 Christian Tismer + * needed to add another magic constant to insure + * that f in slp_eval_frame(PyFrameObject *f) + * STACK_REFPLUS will probably be 1 in most cases. + * gets included into the saved stack area. + * 26-Sep-02 Christian Tismer + * again as a result of virtualized stack access, + * the compiler used less registers. Needed to + * explicit mention registers in order to get them saved. + * Thanks to Jeff Senn for pointing this out and help. + * 17-Sep-02 Christian Tismer + * after virtualizing stack save/restore, the + * stack size shrunk a bit. Needed to introduce + * an adjustment STACK_MAGIC per platform. + * 15-Sep-02 Gerd Woetzel + * slightly changed framework for sparc + * 01-Mar-02 Christian Tismer + * Initial final version after lots of iterations for i386. + */ + +#define alloca _alloca + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL + +#define STACK_MAGIC 0 + +/* Some magic to quell warnings and keep slp_switch() from crashing when built + with VC90. Disable global optimizations, and the warning: frame pointer + register 'ebp' modified by inline assembly code. + + We used to just disable global optimizations ("g") but upstream stackless + Python, as well as stackman, turn off all optimizations. + +References: +https://github.com/stackless-dev/stackman/blob/dbc72fe5207a2055e658c819fdeab9731dee78b9/stackman/platforms/switch_x86_msvc.h +https://github.com/stackless-dev/stackless/blob/main-slp/Stackless/platf/switch_x86_msvc.h +*/ +#define WIN32_LEAN_AND_MEAN +#include + +#pragma optimize("", off) /* so that autos are stored on the stack */ +#pragma warning(disable:4731) +#pragma warning(disable:4733) /* disable warning about modifying FS[0] */ + +/** + * Most modern compilers and environments handle C++ exceptions without any + * special help from us. MSVC on 32-bit windows is an exception. There, C++ + * exceptions are dealt with using Windows' Structured Exception Handling + * (SEH). + * + * SEH is implemented as a singly linked list of nodes. The + * head of this list is stored in the Thread Information Block, which itself + * is pointed to from the FS register. It's the first field in the structure, + * or offset 0, so we can access it using assembly FS:[0], or the compiler + * intrinsics and field offset information from the headers (as we do below). + * Somewhat unusually, the tail of the list doesn't have prev == NULL, it has + * prev == 0xFFFFFFFF. + * + * SEH was designed for C, and traditionally uses the MSVC compiler + * intrinsincs __try{}/__except{}. It is also utilized for C++ exceptions by + * MSVC; there, every throw of a C++ exception raises a SEH error with the + * ExceptionCode 0xE06D7363; the SEH handler list is then traversed to + * deal with the exception. + * + * If the SEH list is corrupt, then when a C++ exception is thrown the program + * will abruptly exit with exit code 1. This does not use std::terminate(), so + * std::set_terminate() is useless to debug this. + * + * The SEH list is closely tied to the call stack; entering a function that + * uses __try{} or most C++ functions will push a new handler onto the front + * of the list. Returning from the function will remove the handler. Saving + * and restoring the head node of the SEH list (FS:[0]) per-greenlet is NOT + * ENOUGH to make SEH or exceptions work. + * + * Stack switching breaks SEH because the call stack no longer necessarily + * matches the SEH list. For example, given greenlet A that switches to + * greenlet B, at the moment of entering greenlet B, we will have any SEH + * handlers from greenlet A on the SEH list; greenlet B can then add its own + * handlers to the SEH list. When greenlet B switches back to greenlet A, + * greenlet B's handlers would still be on the SEH stack, but when switch() + * returns control to greenlet A, we have replaced the contents of the stack + * in memory, so all the address that greenlet B added to the SEH list are now + * invalid: part of the call stack has been unwound, but the SEH list was out + * of sync with the call stack. The net effect is that exception handling + * stops working. + * + * Thus, when switching greenlets, we need to be sure that the SEH list + * matches the effective call stack, "cutting out" any handlers that were + * pushed by the greenlet that switched out and which are no longer valid. + * + * The easiest way to do this is to capture the SEH list at the time the main + * greenlet for a thread is created, and, when initially starting a greenlet, + * start a new SEH list for it, which contains nothing but the handler + * established for the new greenlet itself, with the tail being the handlers + * for the main greenlet. If we then save and restore the SEH per-greenlet, + * they won't interfere with each others SEH lists. (No greenlet can unwind + * the call stack past the handlers established by the main greenlet). + * + * By observation, a new thread starts with three SEH handlers on the list. By + * the time we get around to creating the main greenlet, though, there can be + * many more, established by transient calls that lead to the creation of the + * main greenlet. Therefore, 3 is a magic constant telling us when to perform + * the initial slice. + * + * All of this can be debugged using a vectored exception handler, which + * operates independently of the SEH handler list, and is called first. + * Walking the SEH list at key points can also be helpful. + * + * References: + * https://en.wikipedia.org/wiki/Win32_Thread_Information_Block + * https://devblogs.microsoft.com/oldnewthing/20100730-00/?p=13273 + * https://docs.microsoft.com/en-us/cpp/cpp/try-except-statement?view=msvc-160 + * https://docs.microsoft.com/en-us/cpp/cpp/structured-exception-handling-c-cpp?view=msvc-160 + * https://docs.microsoft.com/en-us/windows/win32/debug/structured-exception-handling + * https://docs.microsoft.com/en-us/windows/win32/debug/using-a-vectored-exception-handler + * https://bytepointer.com/resources/pietrek_crash_course_depths_of_win32_seh.htm + */ +#define GREENLET_NEEDS_EXCEPTION_STATE_SAVED + + +typedef struct _GExceptionRegistration { + struct _GExceptionRegistration* prev; + void* handler_f; +} GExceptionRegistration; + +static void +slp_set_exception_state(const void *const seh_state) +{ + // Because the stack from from which we do this is ALSO a handler, and + // that one we want to keep, we need to relink the current SEH handler + // frame to point to this one, cutting out the middle men, as it were. + // + // Entering a try block doesn't change the SEH frame, but entering a + // function containing a try block does. + GExceptionRegistration* current_seh_state = (GExceptionRegistration*)__readfsdword(FIELD_OFFSET(NT_TIB, ExceptionList)); + current_seh_state->prev = (GExceptionRegistration*)seh_state; +} + + +static GExceptionRegistration* +x86_slp_get_third_oldest_handler() +{ + GExceptionRegistration* a = NULL; /* Closest to the top */ + GExceptionRegistration* b = NULL; /* second */ + GExceptionRegistration* c = NULL; + GExceptionRegistration* seh_state = (GExceptionRegistration*)__readfsdword(FIELD_OFFSET(NT_TIB, ExceptionList)); + a = b = c = seh_state; + + while (seh_state && seh_state != (GExceptionRegistration*)0xFFFFFFFF) { + if ((void*)seh_state->prev < (void*)100) { + fprintf(stderr, "\tERROR: Broken SEH chain.\n"); + return NULL; + } + a = b; + b = c; + c = seh_state; + + seh_state = seh_state->prev; + } + return a ? a : (b ? b : c); +} + + +static void* +slp_get_exception_state() +{ + // XXX: There appear to be three SEH handlers on the stack already at the + // start of the thread. Is that a guarantee? Almost certainly not. Yet in + // all observed cases it has been three. This is consistent with + // faulthandler off or on, and optimizations off or on. It may not be + // consistent with other operating system versions, though: we only have + // CI on one or two versions (don't ask what there are). + // In theory we could capture the number of handlers on the chain when + // PyInit__greenlet is called: there are probably only the default + // handlers at that point (unless we're embedded and people have used + // __try/__except or a C++ handler)? + return x86_slp_get_third_oldest_handler(); +} + +static int +slp_switch(void) +{ + /* MASM syntax is typically reversed from other assemblers. + It is usually + */ + int *stackref, stsizediff; + /* store the structured exception state for this stack */ + DWORD seh_state = __readfsdword(FIELD_OFFSET(NT_TIB, ExceptionList)); + __asm mov stackref, esp; + /* modify EBX, ESI and EDI in order to get them preserved */ + __asm mov ebx, ebx; + __asm xchg esi, edi; + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm { + mov eax, stsizediff + add esp, eax + add ebp, eax + } + SLP_RESTORE_STATE(); + } + __writefsdword(FIELD_OFFSET(NT_TIB, ExceptionList), seh_state); + return 0; +} + +/* re-enable ebp warning and global optimizations. */ +#pragma optimize("", on) +#pragma warning(default:4731) +#pragma warning(default:4733) /* disable warning about modifying FS[0] */ + + +#endif + +/* + * further self-processing support + */ + +/* we have IsBadReadPtr available, so we can peek at objects */ +#define STACKLESS_SPY + +#ifdef GREENLET_DEBUG + +#define CANNOT_READ_MEM(p, bytes) IsBadReadPtr(p, bytes) + +static int IS_ON_STACK(void*p) +{ + int stackref; + int stackbase = ((int)&stackref) & 0xfffff000; + return (int)p >= stackbase && (int)p < stackbase + 0x00100000; +} + +static void +x86_slp_show_seh_chain() +{ + GExceptionRegistration* seh_state = (GExceptionRegistration*)__readfsdword(FIELD_OFFSET(NT_TIB, ExceptionList)); + fprintf(stderr, "====== SEH Chain ======\n"); + while (seh_state && seh_state != (GExceptionRegistration*)0xFFFFFFFF) { + fprintf(stderr, "\tSEH_chain addr: %p handler: %p prev: %p\n", + seh_state, + seh_state->handler_f, seh_state->prev); + if ((void*)seh_state->prev < (void*)100) { + fprintf(stderr, "\tERROR: Broken chain.\n"); + break; + } + seh_state = seh_state->prev; + } + fprintf(stderr, "====== End SEH Chain ======\n"); + fflush(NULL); + return; +} + +//addVectoredExceptionHandler constants: +//CALL_FIRST means call this exception handler first; +//CALL_LAST means call this exception handler last +#define CALL_FIRST 1 +#define CALL_LAST 0 + +LONG WINAPI +GreenletVectorHandler(PEXCEPTION_POINTERS ExceptionInfo) +{ + // We get one of these for every C++ exception, with code + // E06D7363 + // This is a special value that means "C++ exception from MSVC" + // https://devblogs.microsoft.com/oldnewthing/20100730-00/?p=13273 + // + // Install in the module init function with: + // AddVectoredExceptionHandler(CALL_FIRST, GreenletVectorHandler); + PEXCEPTION_RECORD ExceptionRecord = ExceptionInfo->ExceptionRecord; + + fprintf(stderr, + "GOT VECTORED EXCEPTION:\n" + "\tExceptionCode : %p\n" + "\tExceptionFlags : %p\n" + "\tExceptionAddr : %p\n" + "\tNumberparams : %ld\n", + ExceptionRecord->ExceptionCode, + ExceptionRecord->ExceptionFlags, + ExceptionRecord->ExceptionAddress, + ExceptionRecord->NumberParameters + ); + if (ExceptionRecord->ExceptionFlags & 1) { + fprintf(stderr, "\t\tEH_NONCONTINUABLE\n" ); + } + if (ExceptionRecord->ExceptionFlags & 2) { + fprintf(stderr, "\t\tEH_UNWINDING\n" ); + } + if (ExceptionRecord->ExceptionFlags & 4) { + fprintf(stderr, "\t\tEH_EXIT_UNWIND\n" ); + } + if (ExceptionRecord->ExceptionFlags & 8) { + fprintf(stderr, "\t\tEH_STACK_INVALID\n" ); + } + if (ExceptionRecord->ExceptionFlags & 0x10) { + fprintf(stderr, "\t\tEH_NESTED_CALL\n" ); + } + if (ExceptionRecord->ExceptionFlags & 0x20) { + fprintf(stderr, "\t\tEH_TARGET_UNWIND\n" ); + } + if (ExceptionRecord->ExceptionFlags & 0x40) { + fprintf(stderr, "\t\tEH_COLLIDED_UNWIND\n" ); + } + fprintf(stderr, "\n"); + fflush(NULL); + for(DWORD i = 0; i < ExceptionRecord->NumberParameters; i++) { + fprintf(stderr, "\t\t\tParam %ld: %lX\n", i, ExceptionRecord->ExceptionInformation[i]); + } + + if (ExceptionRecord->NumberParameters == 3) { + fprintf(stderr, "\tAbout to traverse SEH chain\n"); + // C++ Exception records have 3 params. + x86_slp_show_seh_chain(); + } + + return EXCEPTION_CONTINUE_SEARCH; +} + + + + +#endif diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x86_unix.h b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x86_unix.h new file mode 100644 index 0000000000000000000000000000000000000000..493fa6baa3b28c74ade1a8d9b6ed2e6a3208e596 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/platform/switch_x86_unix.h @@ -0,0 +1,105 @@ +/* + * this is the internal transfer function. + * + * HISTORY + * 3-May-13 Ralf Schmitt + * Add support for strange GCC caller-save decisions + * (ported from switch_aarch64_gcc.h) + * 19-Aug-11 Alexey Borzenkov + * Correctly save ebp, ebx and cw + * 07-Sep-05 (py-dev mailing list discussion) + * removed 'ebx' from the register-saved. !!!! WARNING !!!! + * It means that this file can no longer be compiled statically! + * It is now only suitable as part of a dynamic library! + * 24-Nov-02 Christian Tismer + * needed to add another magic constant to insure + * that f in slp_eval_frame(PyFrameObject *f) + * STACK_REFPLUS will probably be 1 in most cases. + * gets included into the saved stack area. + * 17-Sep-02 Christian Tismer + * after virtualizing stack save/restore, the + * stack size shrunk a bit. Needed to introduce + * an adjustment STACK_MAGIC per platform. + * 15-Sep-02 Gerd Woetzel + * slightly changed framework for spark + * 31-Avr-02 Armin Rigo + * Added ebx, esi and edi register-saves. + * 01-Mar-02 Samual M. Rushing + * Ported from i386. + */ + +#define STACK_REFPLUS 1 + +#ifdef SLP_EVAL + +/* #define STACK_MAGIC 3 */ +/* the above works fine with gcc 2.96, but 2.95.3 wants this */ +#define STACK_MAGIC 0 + +#if __GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 5) +# define ATTR_NOCLONE __attribute__((noclone)) +#else +# define ATTR_NOCLONE +#endif + +static int +slp_switch(void) +{ + int err; +#ifdef _WIN32 + void *seh; +#endif + void *ebp, *ebx; + unsigned short cw; + int *stackref, stsizediff; + __asm__ volatile ("" : : : "esi", "edi"); + __asm__ volatile ("fstcw %0" : "=m" (cw)); + __asm__ volatile ("movl %%ebp, %0" : "=m" (ebp)); + __asm__ volatile ("movl %%ebx, %0" : "=m" (ebx)); +#ifdef _WIN32 + __asm__ volatile ( + "movl %%fs:0x0, %%eax\n" + "movl %%eax, %0\n" + : "=m" (seh) + : + : "eax"); +#endif + __asm__ ("movl %%esp, %0" : "=g" (stackref)); + { + SLP_SAVE_STATE(stackref, stsizediff); + __asm__ volatile ( + "addl %0, %%esp\n" + "addl %0, %%ebp\n" + : + : "r" (stsizediff) + ); + SLP_RESTORE_STATE(); + __asm__ volatile ("xorl %%eax, %%eax" : "=a" (err)); + } +#ifdef _WIN32 + __asm__ volatile ( + "movl %0, %%eax\n" + "movl %%eax, %%fs:0x0\n" + : + : "m" (seh) + : "eax"); +#endif + __asm__ volatile ("movl %0, %%ebx" : : "m" (ebx)); + __asm__ volatile ("movl %0, %%ebp" : : "m" (ebp)); + __asm__ volatile ("fldcw %0" : : "m" (cw)); + __asm__ volatile ("" : : : "esi", "edi"); + return err; +} + +#endif + +/* + * further self-processing support + */ + +/* + * if you want to add self-inspection tools, place them + * here. See the x86_msvc for the necessary defines. + * These features are highly experimental und not + * essential yet. + */ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1861360bd304e828d4f60d41f4dd133dcc329529 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/__init__.py @@ -0,0 +1,248 @@ +# -*- coding: utf-8 -*- +""" +Tests for greenlet. + +""" +import os +import sys +import sysconfig +import unittest + +from gc import collect +from gc import get_objects +from threading import active_count as active_thread_count +from time import sleep +from time import time + +import psutil + +from greenlet import greenlet as RawGreenlet +from greenlet import getcurrent + +from greenlet._greenlet import get_pending_cleanup_count +from greenlet._greenlet import get_total_main_greenlets + +from . import leakcheck + +PY312 = sys.version_info[:2] >= (3, 12) +PY313 = sys.version_info[:2] >= (3, 13) +# XXX: First tested on 3.14a7. Revisit all uses of this on later versions to ensure they +# are still valid. +PY314 = sys.version_info[:2] >= (3, 14) + +WIN = sys.platform.startswith("win") +RUNNING_ON_GITHUB_ACTIONS = os.environ.get('GITHUB_ACTIONS') +RUNNING_ON_TRAVIS = os.environ.get('TRAVIS') or RUNNING_ON_GITHUB_ACTIONS +RUNNING_ON_APPVEYOR = os.environ.get('APPVEYOR') +RUNNING_ON_CI = RUNNING_ON_TRAVIS or RUNNING_ON_APPVEYOR +RUNNING_ON_MANYLINUX = os.environ.get('GREENLET_MANYLINUX') + +# Is the current interpreter free-threaded?) Note that this +# isn't the same as whether the GIL is enabled, this is the build-time +# value. Certain CPython details, like the garbage collector, +# work very differently on potentially-free-threaded builds than +# standard builds. +RUNNING_ON_FREETHREAD_BUILD = bool(sysconfig.get_config_var("Py_GIL_DISABLED")) + +class TestCaseMetaClass(type): + # wrap each test method with + # a) leak checks + def __new__(cls, classname, bases, classDict): + # pylint and pep8 fight over what this should be called (mcs or cls). + # pylint gets it right, but we can't scope disable pep8, so we go with + # its convention. + # pylint: disable=bad-mcs-classmethod-argument + check_totalrefcount = True + + # Python 3: must copy, we mutate the classDict. Interestingly enough, + # it doesn't actually error out, but under 3.6 we wind up wrapping + # and re-wrapping the same items over and over and over. + for key, value in list(classDict.items()): + if key.startswith('test') and callable(value): + classDict.pop(key) + if check_totalrefcount: + value = leakcheck.wrap_refcount(value) + classDict[key] = value + return type.__new__(cls, classname, bases, classDict) + + +class TestCase(unittest.TestCase, metaclass=TestCaseMetaClass): + + cleanup_attempt_sleep_duration = 0.001 + cleanup_max_sleep_seconds = 1 + + def wait_for_pending_cleanups(self, + initial_active_threads=None, + initial_main_greenlets=None): + initial_active_threads = initial_active_threads or self.threads_before_test + initial_main_greenlets = initial_main_greenlets or self.main_greenlets_before_test + sleep_time = self.cleanup_attempt_sleep_duration + # NOTE: This is racy! A Python-level thread object may be dead + # and gone, but the C thread may not yet have fired its + # destructors and added to the queue. There's no particular + # way to know that's about to happen. We try to watch the + # Python threads to make sure they, at least, have gone away. + # Counting the main greenlets, which we can easily do deterministically, + # also helps. + + # Always sleep at least once to let other threads run + sleep(sleep_time) + quit_after = time() + self.cleanup_max_sleep_seconds + # TODO: We could add an API that calls us back when a particular main greenlet is deleted? + # It would have to drop the GIL + while ( + get_pending_cleanup_count() + or active_thread_count() > initial_active_threads + or (not self.expect_greenlet_leak + and get_total_main_greenlets() > initial_main_greenlets)): + sleep(sleep_time) + if time() > quit_after: + print("Time limit exceeded.") + print("Threads: Waiting for only", initial_active_threads, + "-->", active_thread_count()) + print("MGlets : Waiting for only", initial_main_greenlets, + "-->", get_total_main_greenlets()) + break + collect() + + def count_objects(self, kind=list, exact_kind=True): + # pylint:disable=unidiomatic-typecheck + # Collect the garbage. + for _ in range(3): + collect() + if exact_kind: + return sum( + 1 + for x in get_objects() + if type(x) is kind + ) + # instances + return sum( + 1 + for x in get_objects() + if isinstance(x, kind) + ) + + greenlets_before_test = 0 + threads_before_test = 0 + main_greenlets_before_test = 0 + expect_greenlet_leak = False + + def count_greenlets(self): + """ + Find all the greenlets and subclasses tracked by the GC. + """ + return self.count_objects(RawGreenlet, False) + + def setUp(self): + # Ensure the main greenlet exists, otherwise the first test + # gets a false positive leak + super().setUp() + getcurrent() + self.threads_before_test = active_thread_count() + self.main_greenlets_before_test = get_total_main_greenlets() + self.wait_for_pending_cleanups(self.threads_before_test, self.main_greenlets_before_test) + self.greenlets_before_test = self.count_greenlets() + + def tearDown(self): + if getattr(self, 'skipTearDown', False): + return + + self.wait_for_pending_cleanups(self.threads_before_test, self.main_greenlets_before_test) + super().tearDown() + + def get_expected_returncodes_for_aborted_process(self): + import signal + # The child should be aborted in an unusual way. On POSIX + # platforms, this is done with abort() and signal.SIGABRT, + # which is reflected in a negative return value; however, on + # Windows, even though we observe the child print "Fatal + # Python error: Aborted" and in older versions of the C + # runtime "This application has requested the Runtime to + # terminate it in an unusual way," it always has an exit code + # of 3. This is interesting because 3 is the error code for + # ERROR_PATH_NOT_FOUND; BUT: the C runtime abort() function + # also uses this code. + # + # If we link to the static C library on Windows, the error + # code changes to '0xc0000409' (hex(3221226505)), which + # apparently is STATUS_STACK_BUFFER_OVERRUN; but "What this + # means is that nowadays when you get a + # STATUS_STACK_BUFFER_OVERRUN, it doesn’t actually mean that + # there is a stack buffer overrun. It just means that the + # application decided to terminate itself with great haste." + # + # + # On windows, we've also seen '0xc0000005' (hex(3221225477)). + # That's "Access Violation" + # + # See + # https://devblogs.microsoft.com/oldnewthing/20110519-00/?p=10623 + # and + # https://docs.microsoft.com/en-us/previous-versions/k089yyh0(v=vs.140)?redirectedfrom=MSDN + # and + # https://devblogs.microsoft.com/oldnewthing/20190108-00/?p=100655 + expected_exit = ( + -signal.SIGABRT, + # But beginning on Python 3.11, the faulthandler + # that prints the C backtraces sometimes segfaults after + # reporting the exception but before printing the stack. + # This has only been seen on linux/gcc. + -signal.SIGSEGV, + ) if not WIN else ( + 3, + 0xc0000409, + 0xc0000005, + ) + return expected_exit + + def get_process_uss(self): + """ + Return the current process's USS in bytes. + + uss is available on Linux, macOS, Windows. Also known as + "Unique Set Size", this is the memory which is unique to a + process and which would be freed if the process was terminated + right now. + + If this is not supported by ``psutil``, this raises the + :exc:`unittest.SkipTest` exception. + """ + try: + return psutil.Process().memory_full_info().uss + except AttributeError as e: + raise unittest.SkipTest("uss not supported") from e + + def run_script(self, script_name, show_output=True): + import subprocess + script = os.path.join( + os.path.dirname(__file__), + script_name, + ) + + try: + return subprocess.check_output([sys.executable, script], + encoding='utf-8', + stderr=subprocess.STDOUT) + except subprocess.CalledProcessError as ex: + if show_output: + print('-----') + print('Failed to run script', script) + print('~~~~~') + print(ex.output) + print('------') + raise + + + def assertScriptRaises(self, script_name, exitcodes=None): + import subprocess + with self.assertRaises(subprocess.CalledProcessError) as exc: + 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test_extension_interface.py to test the + * Greenlet C API. + */ + +#include "../greenlet.h" + +#ifndef Py_RETURN_NONE +# define Py_RETURN_NONE return Py_INCREF(Py_None), Py_None +#endif + +#define TEST_MODULE_NAME "_test_extension" + +static PyObject* +test_switch(PyObject* self, PyObject* greenlet) +{ + PyObject* result = NULL; + + if (greenlet == NULL || !PyGreenlet_Check(greenlet)) { + PyErr_BadArgument(); + return NULL; + } + + result = PyGreenlet_Switch((PyGreenlet*)greenlet, NULL, NULL); + if (result == NULL) { + if (!PyErr_Occurred()) { + PyErr_SetString(PyExc_AssertionError, + "greenlet.switch() failed for some reason."); + } + return NULL; + } + Py_INCREF(result); + return result; +} + +static PyObject* +test_switch_kwargs(PyObject* self, PyObject* args, PyObject* kwargs) +{ + PyGreenlet* g = NULL; + PyObject* result = NULL; + + PyArg_ParseTuple(args, "O!", &PyGreenlet_Type, &g); + + if (g == NULL || !PyGreenlet_Check(g)) { + PyErr_BadArgument(); + return NULL; + } + + result = PyGreenlet_Switch(g, NULL, kwargs); + if (result == NULL) { + if (!PyErr_Occurred()) { + PyErr_SetString(PyExc_AssertionError, + "greenlet.switch() failed for some reason."); + } + return NULL; + } + Py_XINCREF(result); + return result; +} + +static PyObject* +test_getcurrent(PyObject* self) +{ + PyGreenlet* g = PyGreenlet_GetCurrent(); + if (g == NULL || !PyGreenlet_Check(g) || !PyGreenlet_ACTIVE(g)) { + PyErr_SetString(PyExc_AssertionError, + "getcurrent() returned an invalid greenlet"); + Py_XDECREF(g); + return NULL; + } + Py_DECREF(g); + Py_RETURN_NONE; +} + +static PyObject* +test_setparent(PyObject* self, PyObject* arg) +{ + PyGreenlet* current; + PyGreenlet* greenlet = NULL; + + if (arg == NULL || !PyGreenlet_Check(arg)) { + PyErr_BadArgument(); + return NULL; + } + if ((current = PyGreenlet_GetCurrent()) == NULL) { + return NULL; + } + greenlet = (PyGreenlet*)arg; + if (PyGreenlet_SetParent(greenlet, current)) { + Py_DECREF(current); + return NULL; + } + Py_DECREF(current); + if (PyGreenlet_Switch(greenlet, NULL, NULL) == NULL) { + return NULL; + } + Py_RETURN_NONE; +} + +static PyObject* +test_new_greenlet(PyObject* self, PyObject* callable) +{ + PyObject* result = NULL; + PyGreenlet* greenlet = PyGreenlet_New(callable, NULL); + + if (!greenlet) { + return NULL; + } + + result = PyGreenlet_Switch(greenlet, NULL, NULL); + Py_CLEAR(greenlet); + if (result == NULL) { + return NULL; + } + + Py_INCREF(result); + return result; +} + +static PyObject* +test_raise_dead_greenlet(PyObject* self) +{ + PyErr_SetString(PyExc_GreenletExit, "test GreenletExit exception."); + return NULL; +} + +static PyObject* +test_raise_greenlet_error(PyObject* self) +{ + PyErr_SetString(PyExc_GreenletError, "test greenlet.error exception"); + return NULL; +} + +static PyObject* +test_throw(PyObject* self, PyGreenlet* g) +{ + const char msg[] = "take that sucka!"; + PyObject* msg_obj = Py_BuildValue("s", msg); + PyGreenlet_Throw(g, PyExc_ValueError, msg_obj, NULL); + Py_DECREF(msg_obj); + if (PyErr_Occurred()) { + return NULL; + } + Py_RETURN_NONE; +} + +static PyObject* +test_throw_exact(PyObject* self, PyObject* args) +{ + PyGreenlet* g = NULL; + PyObject* typ = NULL; + PyObject* val = NULL; + PyObject* tb = NULL; + + if (!PyArg_ParseTuple(args, "OOOO:throw", &g, &typ, &val, &tb)) { + return NULL; + } + + PyGreenlet_Throw(g, typ, val, tb); + if (PyErr_Occurred()) { + return NULL; + } + Py_RETURN_NONE; +} + +static PyMethodDef test_methods[] = { + {"test_switch", + (PyCFunction)test_switch, + METH_O, + "Switch to the provided greenlet sending provided arguments, and \n" + "return the results."}, + {"test_switch_kwargs", + (PyCFunction)test_switch_kwargs, + METH_VARARGS | METH_KEYWORDS, + "Switch to the provided greenlet sending the provided keyword args."}, + {"test_getcurrent", + (PyCFunction)test_getcurrent, + METH_NOARGS, + "Test PyGreenlet_GetCurrent()"}, + {"test_setparent", + (PyCFunction)test_setparent, + METH_O, + "Se the parent of the provided greenlet and switch to it."}, + {"test_new_greenlet", + (PyCFunction)test_new_greenlet, + METH_O, + "Test PyGreenlet_New()"}, + {"test_raise_dead_greenlet", + (PyCFunction)test_raise_dead_greenlet, + METH_NOARGS, + "Just raise greenlet.GreenletExit"}, + {"test_raise_greenlet_error", + (PyCFunction)test_raise_greenlet_error, + METH_NOARGS, + "Just raise greenlet.error"}, + {"test_throw", + (PyCFunction)test_throw, + METH_O, + "Throw a ValueError at the provided greenlet"}, + {"test_throw_exact", + (PyCFunction)test_throw_exact, + METH_VARARGS, + "Throw exactly the arguments given at the provided greenlet"}, + {NULL, NULL, 0, NULL} +}; + + +#define INITERROR return NULL + +static struct PyModuleDef moduledef = {PyModuleDef_HEAD_INIT, + TEST_MODULE_NAME, + NULL, + 0, + test_methods, + NULL, + NULL, + NULL, + NULL}; + +PyMODINIT_FUNC +PyInit__test_extension(void) +{ + PyObject* module = NULL; + module = PyModule_Create(&moduledef); + + if (module == NULL) { + return NULL; + } + + PyGreenlet_Import(); + return module; +} diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/_test_extension.cpython-312-x86_64-linux-gnu.so b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/_test_extension.cpython-312-x86_64-linux-gnu.so new file mode 100644 index 0000000000000000000000000000000000000000..da523f4cbb7aac72e19057883c88c7b6074730c9 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/_test_extension.cpython-312-x86_64-linux-gnu.so differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/_test_extension_cpp.cpp b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/_test_extension_cpp.cpp new file mode 100644 index 0000000000000000000000000000000000000000..5cbe6a7697cb622e93eb796c089bfd24b332df5a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/_test_extension_cpp.cpp @@ -0,0 +1,226 @@ +/* This is a set of functions used to test C++ exceptions are not + * broken during greenlet switches + */ + +#include "../greenlet.h" +#include "../greenlet_compiler_compat.hpp" +#include +#include + +struct exception_t { + int depth; + exception_t(int depth) : depth(depth) {} +}; + +/* Functions are called via pointers to prevent inlining */ +static void (*p_test_exception_throw_nonstd)(int depth); +static void (*p_test_exception_throw_std)(); +static PyObject* (*p_test_exception_switch_recurse)(int depth, int left); + +static void +test_exception_throw_nonstd(int depth) +{ + throw exception_t(depth); +} + +static void +test_exception_throw_std() +{ + throw std::runtime_error("Thrown from an extension."); +} + +static PyObject* +test_exception_switch_recurse(int depth, int left) +{ + if (left > 0) { + return p_test_exception_switch_recurse(depth, left - 1); + } + + PyObject* result = NULL; + PyGreenlet* self = PyGreenlet_GetCurrent(); + if (self == NULL) + return NULL; + + try { + if (PyGreenlet_Switch(PyGreenlet_GET_PARENT(self), NULL, NULL) == NULL) { + Py_DECREF(self); + return NULL; + } + p_test_exception_throw_nonstd(depth); + PyErr_SetString(PyExc_RuntimeError, + "throwing C++ exception didn't work"); + } + catch (const exception_t& e) { + if (e.depth != depth) + PyErr_SetString(PyExc_AssertionError, "depth mismatch"); + else + result = PyLong_FromLong(depth); + } + catch (...) { + PyErr_SetString(PyExc_RuntimeError, "unexpected C++ exception"); + } + + Py_DECREF(self); + return result; +} + +/* test_exception_switch(int depth) + * - recurses depth times + * - switches to parent inside try/catch block + * - throws an exception that (expected to be caught in the same function) + * - verifies depth matches (exceptions shouldn't be caught in other greenlets) + */ +static PyObject* +test_exception_switch(PyObject* UNUSED(self), PyObject* args) +{ + int depth; + if (!PyArg_ParseTuple(args, "i", &depth)) + return NULL; + return p_test_exception_switch_recurse(depth, depth); +} + + +static PyObject* +py_test_exception_throw_nonstd(PyObject* self, PyObject* args) +{ + if (!PyArg_ParseTuple(args, "")) + return NULL; + p_test_exception_throw_nonstd(0); + PyErr_SetString(PyExc_AssertionError, "unreachable code running after throw"); + return NULL; +} + +static PyObject* +py_test_exception_throw_std(PyObject* self, PyObject* args) +{ + if (!PyArg_ParseTuple(args, "")) + return NULL; + p_test_exception_throw_std(); + PyErr_SetString(PyExc_AssertionError, "unreachable code running after throw"); + return NULL; +} + +static PyObject* +py_test_call(PyObject* self, PyObject* arg) +{ + PyObject* noargs = PyTuple_New(0); + PyObject* ret = PyObject_Call(arg, noargs, nullptr); + Py_DECREF(noargs); + return ret; +} + + + +/* test_exception_switch_and_do_in_g2(g2func) + * - creates new greenlet g2 to run g2func + * - switches to g2 inside try/catch block + * - verifies that no exception has been caught + * + * it is used together with test_exception_throw to verify that unhandled + * exceptions thrown in one greenlet do not propagate to other greenlet nor + * segfault the process. + */ +static PyObject* +test_exception_switch_and_do_in_g2(PyObject* self, PyObject* args) +{ + PyObject* g2func = NULL; + PyObject* result = NULL; + + if (!PyArg_ParseTuple(args, "O", &g2func)) + return NULL; + PyGreenlet* g2 = PyGreenlet_New(g2func, NULL); + if (!g2) { + return NULL; + } + + try { + result = PyGreenlet_Switch(g2, NULL, NULL); + if (!result) { + return NULL; + } + } + catch (const exception_t& e) { + /* if we are here the memory can be already corrupted and the program + * might crash before below py-level exception might become printed. + * -> print something to stderr to make it clear that we had entered + * this catch block. + * See comments in inner_bootstrap() + */ +#if defined(WIN32) || defined(_WIN32) + fprintf(stderr, "C++ exception unexpectedly caught in g1\n"); + PyErr_SetString(PyExc_AssertionError, "C++ exception unexpectedly caught in g1"); + Py_XDECREF(result); + return NULL; +#else + throw; +#endif + } + + Py_XDECREF(result); + Py_RETURN_NONE; +} + +static PyMethodDef test_methods[] = { + {"test_exception_switch", + (PyCFunction)&test_exception_switch, + METH_VARARGS, + "Switches to parent twice, to test exception handling and greenlet " + "switching."}, + {"test_exception_switch_and_do_in_g2", + (PyCFunction)&test_exception_switch_and_do_in_g2, + METH_VARARGS, + "Creates new greenlet g2 to run g2func and switches to it inside try/catch " + "block. Used together with test_exception_throw to verify that unhandled " + "C++ exceptions thrown in a greenlet doe not corrupt memory."}, + {"test_exception_throw_nonstd", + (PyCFunction)&py_test_exception_throw_nonstd, + METH_VARARGS, + "Throws non-standard C++ exception. Calling this function directly should abort the process." + }, + {"test_exception_throw_std", + (PyCFunction)&py_test_exception_throw_std, + METH_VARARGS, + "Throws standard C++ exception. Calling this function directly should abort the process." + }, + {"test_call", + (PyCFunction)&py_test_call, + METH_O, + "Call the given callable. Unlike calling it directly, this creates a " + "new C-level stack frame, which may be helpful in testing." + }, + {NULL, NULL, 0, NULL} +}; + + +static struct PyModuleDef moduledef = {PyModuleDef_HEAD_INIT, + "greenlet.tests._test_extension_cpp", + NULL, + 0, + test_methods, + NULL, + NULL, + NULL, + NULL}; + +PyMODINIT_FUNC +PyInit__test_extension_cpp(void) +{ + PyObject* module = NULL; + + module = PyModule_Create(&moduledef); + + if (module == NULL) { + return NULL; + } + + PyGreenlet_Import(); + if (_PyGreenlet_API == NULL) { + return NULL; + } + + p_test_exception_throw_nonstd = test_exception_throw_nonstd; + p_test_exception_throw_std = test_exception_throw_std; + p_test_exception_switch_recurse = test_exception_switch_recurse; + + return module; +} diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/_test_extension_cpp.cpython-312-x86_64-linux-gnu.so b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/_test_extension_cpp.cpython-312-x86_64-linux-gnu.so new file mode 100644 index 0000000000000000000000000000000000000000..d5513ccb51d7498e95d01be1528e40e1ffa1d242 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/_test_extension_cpp.cpython-312-x86_64-linux-gnu.so differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_clearing_run_switches.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_clearing_run_switches.py new file mode 100644 index 0000000000000000000000000000000000000000..6dd1492ff9e3b48938562f48b5ded0aea61e0481 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_clearing_run_switches.py @@ -0,0 +1,47 @@ +# -*- coding: utf-8 -*- +""" +If we have a run callable passed to the constructor or set as an +attribute, but we don't actually use that (because ``__getattribute__`` +or the like interferes), then when we clear callable before beginning +to run, there's an opportunity for Python code to run. + +""" +import greenlet + +g = None +main = greenlet.getcurrent() + +results = [] + +class RunCallable: + + def __del__(self): + results.append(('RunCallable', '__del__')) + main.switch('from RunCallable') + + +class G(greenlet.greenlet): + + def __getattribute__(self, name): + if name == 'run': + results.append(('G.__getattribute__', 'run')) + return run_func + return object.__getattribute__(self, name) + + +def run_func(): + results.append(('run_func', 'enter')) + + +g = G(RunCallable()) +# Try to start G. It will get to the point where it deletes +# its run callable C++ variable in inner_bootstrap. That triggers +# the __del__ method, which switches back to main before g +# actually even starts running. +x = g.switch() +results.append(('main: g.switch()', x)) +# In the C++ code, this results in g->g_switch() appearing to return, even though +# it has yet to run. +print('In main with', x, flush=True) +g.switch() +print('RESULTS', results) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_cpp_exception.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_cpp_exception.py new file mode 100644 index 0000000000000000000000000000000000000000..fa4dc2eb3e8597eedfe943cb02c0c5ee628e3c49 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_cpp_exception.py @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +""" +Helper for testing a C++ exception throw aborts the process. + +Takes one argument, the name of the function in :mod:`_test_extension_cpp` to call. +""" +import sys +import greenlet +from greenlet.tests import _test_extension_cpp +print('fail_cpp_exception is running') + +def run_unhandled_exception_in_greenlet_aborts(): + def _(): + _test_extension_cpp.test_exception_switch_and_do_in_g2( + _test_extension_cpp.test_exception_throw_nonstd + ) + g1 = greenlet.greenlet(_) + g1.switch() + + +func_name = sys.argv[1] +try: + func = getattr(_test_extension_cpp, func_name) +except AttributeError: + if func_name == run_unhandled_exception_in_greenlet_aborts.__name__: + func = run_unhandled_exception_in_greenlet_aborts + elif func_name == 'run_as_greenlet_target': + g = greenlet.greenlet(_test_extension_cpp.test_exception_throw_std) + func = g.switch + else: + raise +print('raising', func, flush=True) +func() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_initialstub_already_started.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_initialstub_already_started.py new file mode 100644 index 0000000000000000000000000000000000000000..c1a44efd2915e84007ceedc8cd04a68ad853d1aa --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_initialstub_already_started.py @@ -0,0 +1,78 @@ +""" +Testing initialstub throwing an already started exception. +""" + +import greenlet + +a = None +b = None +c = None +main = greenlet.getcurrent() + +# If we switch into a dead greenlet, +# we go looking for its parents. +# if a parent is not yet started, we start it. + +results = [] + +def a_run(*args): + #results.append('A') + results.append(('Begin A', args)) + + +def c_run(): + results.append('Begin C') + b.switch('From C') + results.append('C done') + +class A(greenlet.greenlet): pass + +class B(greenlet.greenlet): + doing_it = False + def __getattribute__(self, name): + if name == 'run' and not self.doing_it: + assert greenlet.getcurrent() is c + self.doing_it = True + results.append('Switch to b from B.__getattribute__ in ' + + type(greenlet.getcurrent()).__name__) + b.switch() + results.append('B.__getattribute__ back from main in ' + + type(greenlet.getcurrent()).__name__) + if name == 'run': + name = '_B_run' + return object.__getattribute__(self, name) + + def _B_run(self, *arg): + results.append(('Begin B', arg)) + results.append('_B_run switching to main') + main.switch('From B') + +class C(greenlet.greenlet): + pass +a = A(a_run) +b = B(parent=a) +c = C(c_run, b) + +# Start a child; while running, it will start B, +# but starting B will ALSO start B. +result = c.switch() +results.append(('main from c', result)) + +# Switch back to C, which was in the middle of switching +# already. This will throw the ``GreenletStartedWhileInPython`` +# exception, which results in parent A getting started (B is finished) +c.switch() + +results.append(('A dead?', a.dead, 'B dead?', b.dead, 'C dead?', c.dead)) + +# A and B should both be dead now. +assert a.dead +assert b.dead +assert not c.dead + +result = c.switch() +results.append(('main from c.2', result)) +# Now C is dead +assert c.dead + +print("RESULTS:", results) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_slp_switch.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_slp_switch.py new file mode 100644 index 0000000000000000000000000000000000000000..09905269fd24fe1c15dfb24505bbd549141469ff --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_slp_switch.py @@ -0,0 +1,29 @@ +# -*- coding: utf-8 -*- +""" +A test helper for seeing what happens when slp_switch() +fails. +""" +# pragma: no cover + +import greenlet + + +print('fail_slp_switch is running', flush=True) + +runs = [] +def func(): + runs.append(1) + greenlet.getcurrent().parent.switch() + runs.append(2) + greenlet.getcurrent().parent.switch() + runs.append(3) + +g = greenlet._greenlet.UnswitchableGreenlet(func) +g.switch() +assert runs == [1] +g.switch() +assert runs == [1, 2] +g.force_slp_switch_error = True + +# This should crash. +g.switch() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_switch_three_greenlets.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_switch_three_greenlets.py new file mode 100644 index 0000000000000000000000000000000000000000..e151b19a65d059fe8d392cd415811f3c6deb9903 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_switch_three_greenlets.py @@ -0,0 +1,44 @@ +""" +Uses a trace function to switch greenlets at unexpected times. + +In the trace function, we switch from the current greenlet to another +greenlet, which switches +""" +import greenlet + +g1 = None +g2 = None + +switch_to_g2 = False + +def tracefunc(*args): + print('TRACE', *args) + global switch_to_g2 + if switch_to_g2: + switch_to_g2 = False + g2.switch() + print('\tLEAVE TRACE', *args) + +def g1_run(): + print('In g1_run') + global switch_to_g2 + switch_to_g2 = True + from_parent = greenlet.getcurrent().parent.switch() + print('Return to g1_run') + print('From parent', from_parent) + +def g2_run(): + #g1.switch() + greenlet.getcurrent().parent.switch() + +greenlet.settrace(tracefunc) + +g1 = greenlet.greenlet(g1_run) +g2 = greenlet.greenlet(g2_run) + +# This switch didn't actually finish! +# And if it did, it would raise TypeError +# because g1_run() doesn't take any arguments. +g1.switch(1) +print('Back in main') +g1.switch(2) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_switch_three_greenlets2.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_switch_three_greenlets2.py new file mode 100644 index 0000000000000000000000000000000000000000..1f6b66bc67109c273616b94b0526129997ff0bd3 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_switch_three_greenlets2.py @@ -0,0 +1,55 @@ +""" +Like fail_switch_three_greenlets, but the call into g1_run would actually be +valid. +""" +import greenlet + +g1 = None +g2 = None + +switch_to_g2 = True + +results = [] + +def tracefunc(*args): + results.append(('trace', args[0])) + print('TRACE', *args) + global switch_to_g2 + if switch_to_g2: + switch_to_g2 = False + g2.switch('g2 from tracefunc') + print('\tLEAVE TRACE', *args) + +def g1_run(arg): + results.append(('g1 arg', arg)) + print('In g1_run') + from_parent = greenlet.getcurrent().parent.switch('from g1_run') + results.append(('g1 from parent', from_parent)) + return 'g1 done' + +def g2_run(arg): + #g1.switch() + results.append(('g2 arg', arg)) + parent = greenlet.getcurrent().parent.switch('from g2_run') + global switch_to_g2 + switch_to_g2 = False + results.append(('g2 from parent', parent)) + return 'g2 done' + + +greenlet.settrace(tracefunc) + +g1 = greenlet.greenlet(g1_run) +g2 = greenlet.greenlet(g2_run) + +x = g1.switch('g1 from main') +results.append(('main g1', x)) +print('Back in main', x) +x = g1.switch('g2 from main') +results.append(('main g2', x)) +print('back in amain again', x) +x = g1.switch('g1 from main 2') +results.append(('main g1.2', x)) +x = g2.switch() +results.append(('main g2.2', x)) +print("RESULTS:", results) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_switch_two_greenlets.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_switch_two_greenlets.py new file mode 100644 index 0000000000000000000000000000000000000000..3e52345a609547bc291db58a15efb13e2ed63ac8 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/fail_switch_two_greenlets.py @@ -0,0 +1,41 @@ +""" +Uses a trace function to switch greenlets at unexpected times. + +In the trace function, we switch from the current greenlet to another +greenlet, which switches +""" +import greenlet + +g1 = None +g2 = None + +switch_to_g2 = False + +def tracefunc(*args): + print('TRACE', *args) + global switch_to_g2 + if switch_to_g2: + switch_to_g2 = False + g2.switch() + print('\tLEAVE TRACE', *args) + +def g1_run(): + print('In g1_run') + global switch_to_g2 + switch_to_g2 = True + greenlet.getcurrent().parent.switch() + print('Return to g1_run') + print('Falling off end of g1_run') + +def g2_run(): + g1.switch() + print('Falling off end of g2') + +greenlet.settrace(tracefunc) + +g1 = greenlet.greenlet(g1_run) +g2 = greenlet.greenlet(g2_run) + +g1.switch() +print('Falling off end of main') +g2.switch() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/leakcheck.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/leakcheck.py new file mode 100644 index 0000000000000000000000000000000000000000..7046e414b5c6ca746328d5d264cb924f296614a9 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/leakcheck.py @@ -0,0 +1,336 @@ +# Copyright (c) 2018 gevent community +# Copyright (c) 2021 greenlet community +# +# This was originally part of gevent's test suite. The main author +# (Jason Madden) vendored a copy of it into greenlet. +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +# THE SOFTWARE. +from __future__ import print_function + +import os +import sys +import gc + +from functools import wraps +import unittest + + +import objgraph + +# graphviz 0.18 (Nov 7 2021), available only on Python 3.6 and newer, +# has added type hints (sigh). It wants to use ``typing.Literal`` for +# some stuff, but that's only available on Python 3.9+. If that's not +# found, it creates a ``unittest.mock.MagicMock`` object and annotates +# with that. These are GC'able objects, and doing almost *anything* +# with them results in an explosion of objects. For example, trying to +# compare them for equality creates new objects. This causes our +# leakchecks to fail, with reports like: +# +# greenlet.tests.leakcheck.LeakCheckError: refcount increased by [337, 1333, 343, 430, 530, 643, 769] +# _Call 1820 +546 +# dict 4094 +76 +# MagicProxy 585 +73 +# tuple 2693 +66 +# _CallList 24 +3 +# weakref 1441 +1 +# function 5996 +1 +# type 736 +1 +# cell 592 +1 +# MagicMock 8 +1 +# +# To avoid this, we *could* filter this type of object out early. In +# principle it could leak, but we don't use mocks in greenlet, so it +# doesn't leak from us. However, a further issue is that ``MagicMock`` +# objects have subobjects that are also GC'able, like ``_Call``, and +# those create new mocks of their own too. So we'd have to filter them +# as well, and they're not public. That's OK, we can workaround the +# problem by being very careful to never compare by equality or other +# user-defined operators, only using object identity or other builtin +# functions. + +RUNNING_ON_GITHUB_ACTIONS = os.environ.get('GITHUB_ACTIONS') +RUNNING_ON_TRAVIS = os.environ.get('TRAVIS') or RUNNING_ON_GITHUB_ACTIONS +RUNNING_ON_APPVEYOR = os.environ.get('APPVEYOR') +RUNNING_ON_CI = RUNNING_ON_TRAVIS or RUNNING_ON_APPVEYOR +RUNNING_ON_MANYLINUX = os.environ.get('GREENLET_MANYLINUX') +SKIP_LEAKCHECKS = RUNNING_ON_MANYLINUX or os.environ.get('GREENLET_SKIP_LEAKCHECKS') +SKIP_FAILING_LEAKCHECKS = os.environ.get('GREENLET_SKIP_FAILING_LEAKCHECKS') +ONLY_FAILING_LEAKCHECKS = os.environ.get('GREENLET_ONLY_FAILING_LEAKCHECKS') + +def ignores_leakcheck(func): + """ + Ignore the given object during leakchecks. + + Can be applied to a method, in which case the method will run, but + will not be subject to leak checks. + + If applied to a class, the entire class will be skipped during leakchecks. This + is intended to be used for classes that are very slow and cause problems such as + test timeouts; typically it will be used for classes that are subclasses of a base + class and specify variants of behaviour (such as pool sizes). + """ + func.ignore_leakcheck = True + return func + +def fails_leakcheck(func): + """ + Mark that the function is known to leak. + """ + func.fails_leakcheck = True + if SKIP_FAILING_LEAKCHECKS: + func = unittest.skip("Skipping known failures")(func) + return func + +class LeakCheckError(AssertionError): + pass + +if hasattr(sys, 'getobjects'): + # In a Python build with ``--with-trace-refs``, make objgraph + # trace *all* the objects, not just those that are tracked by the + # GC + class _MockGC(object): + def get_objects(self): + return sys.getobjects(0) # pylint:disable=no-member + def __getattr__(self, name): + return getattr(gc, name) + objgraph.gc = _MockGC() + fails_strict_leakcheck = fails_leakcheck +else: + def fails_strict_leakcheck(func): + """ + Decorator for a function that is known to fail when running + strict (``sys.getobjects()``) leakchecks. + + This type of leakcheck finds all objects, even those, such as + strings, which are not tracked by the garbage collector. + """ + return func + +class ignores_types_in_strict_leakcheck(object): + def __init__(self, types): + self.types = types + def __call__(self, func): + func.leakcheck_ignore_types = self.types + return func + +class _RefCountChecker(object): + + # Some builtin things that we ignore + # XXX: Those things were ignored by gevent, but they're important here, + # presumably. + IGNORED_TYPES = () #(tuple, dict, types.FrameType, types.TracebackType) + + # Names of types that should be ignored. Use this when we cannot + # or don't want to import the class directly. + IGNORED_TYPE_NAMES = ( + # This appears in Python3.14 with the JIT enabled. It + # doesn't seem to be directly exposed to Python; the only way to get + # one is to cause code to get jitted and then look for all objects + # and find one with this name. But they multiply as code + # executes and gets jitted, in ways we don't want to rely on. + # So just ignore it. + 'uop_executor', + ) + + def __init__(self, testcase, function): + self.testcase = testcase + self.function = function + self.deltas = [] + self.peak_stats = {} + self.ignored_types = () + + # The very first time we are called, we have already been + # self.setUp() by the test runner, so we don't need to do it again. + self.needs_setUp = False + + def _include_object_p(self, obj): + # pylint:disable=too-many-return-statements + # + # See the comment block at the top. We must be careful to + # avoid invoking user-defined operations. + if obj is self: + return False + kind = type(obj) + # ``self._include_object_p == obj`` returns NotImplemented + # for non-function objects, which causes the interpreter + # to try to reverse the order of arguments...which leads + # to the explosion of mock objects. We don't want that, so we implement + # the check manually. + if kind == type(self._include_object_p): + try: + # pylint:disable=not-callable + exact_method_equals = self._include_object_p.__eq__(obj) + except AttributeError: + # Python 2.7 methods may only have __cmp__, and that raises a + # TypeError for non-method arguments + # pylint:disable=no-member + exact_method_equals = self._include_object_p.__cmp__(obj) == 0 + + if exact_method_equals is not NotImplemented and exact_method_equals: + return False + + # Similarly, we need to check identity in our __dict__ to avoid mock explosions. + for x in self.__dict__.values(): + if obj is x: + return False + + + if ( + kind in self.ignored_types + or kind in self.IGNORED_TYPES + or kind.__name__ in self.IGNORED_TYPE_NAMES + ): + return False + + + return True + + def _growth(self): + return objgraph.growth(limit=None, peak_stats=self.peak_stats, + filter=self._include_object_p) + + def _report_diff(self, growth): + if not growth: + return "" + + lines = [] + width = max(len(name) for name, _, _ in growth) + for name, count, delta in growth: + lines.append('%-*s%9d %+9d' % (width, name, count, delta)) + + diff = '\n'.join(lines) + return diff + + + def _run_test(self, args, kwargs): + gc_enabled = gc.isenabled() + gc.disable() + + if self.needs_setUp: + self.testcase.setUp() + self.testcase.skipTearDown = False + try: + self.function(self.testcase, *args, **kwargs) + finally: + self.testcase.tearDown() + self.testcase.doCleanups() + self.testcase.skipTearDown = True + self.needs_setUp = True + if gc_enabled: + gc.enable() + + def _growth_after(self): + # Grab post snapshot + # pylint:disable=no-member + if 'urlparse' in sys.modules: + sys.modules['urlparse'].clear_cache() + if 'urllib.parse' in sys.modules: + sys.modules['urllib.parse'].clear_cache() + + return self._growth() + + def _check_deltas(self, growth): + # Return false when we have decided there is no leak, + # true if we should keep looping, raises an assertion + # if we have decided there is a leak. + + deltas = self.deltas + if not deltas: + # We haven't run yet, no data, keep looping + return True + + if gc.garbage: + raise LeakCheckError("Generated uncollectable garbage %r" % (gc.garbage,)) + + + # the following configurations are classified as "no leak" + # [0, 0] + # [x, 0, 0] + # [... a, b, c, d] where a+b+c+d = 0 + # + # the following configurations are classified as "leak" + # [... z, z, z] where z > 0 + + if deltas[-2:] == [0, 0] and len(deltas) in (2, 3): + return False + + if deltas[-3:] == [0, 0, 0]: + return False + + if len(deltas) >= 4 and sum(deltas[-4:]) == 0: + return False + + if len(deltas) >= 3 and deltas[-1] > 0 and deltas[-1] == deltas[-2] and deltas[-2] == deltas[-3]: + diff = self._report_diff(growth) + raise LeakCheckError('refcount increased by %r\n%s' % (deltas, diff)) + + # OK, we don't know for sure yet. Let's search for more + if sum(deltas[-3:]) <= 0 or sum(deltas[-4:]) <= 0 or deltas[-4:].count(0) >= 2: + # this is suspicious, so give a few more runs + limit = 11 + else: + limit = 7 + if len(deltas) >= limit: + raise LeakCheckError('refcount increased by %r\n%s' + % (deltas, + self._report_diff(growth))) + + # We couldn't decide yet, keep going + return True + + def __call__(self, args, kwargs): + for _ in range(3): + gc.collect() + + expect_failure = getattr(self.function, 'fails_leakcheck', False) + if expect_failure: + self.testcase.expect_greenlet_leak = True + self.ignored_types = getattr(self.function, "leakcheck_ignore_types", ()) + + # Capture state before; the incremental will be + # updated by each call to _growth_after + growth = self._growth() + + try: + while self._check_deltas(growth): + self._run_test(args, kwargs) + + growth = self._growth_after() + + self.deltas.append(sum((stat[2] for stat in growth))) + except LeakCheckError: + if not expect_failure: + raise + else: + if expect_failure: + raise LeakCheckError("Expected %s to leak but it did not." % (self.function,)) + +def wrap_refcount(method): + if getattr(method, 'ignore_leakcheck', False) or SKIP_LEAKCHECKS: + return method + + @wraps(method) + def wrapper(self, *args, **kwargs): # pylint:disable=too-many-branches + if getattr(self, 'ignore_leakcheck', False): + raise unittest.SkipTest("This class ignored during leakchecks") + if ONLY_FAILING_LEAKCHECKS and not getattr(method, 'fails_leakcheck', False): + raise unittest.SkipTest("Only running tests that fail leakchecks.") + return _RefCountChecker(self, method)(args, kwargs) + + return wrapper diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_contextvars.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_contextvars.py new file mode 100644 index 0000000000000000000000000000000000000000..b0d1ccf346160d9f9d3125fea7825d696c304fc1 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_contextvars.py @@ -0,0 +1,312 @@ +from __future__ import print_function + +import gc +import sys +import unittest + +from functools import partial +from unittest import skipUnless +from unittest import skipIf + +from greenlet import greenlet +from greenlet import getcurrent +from . import TestCase +from . import PY314 + +try: + from contextvars import Context + from contextvars import ContextVar + from contextvars import copy_context + # From the documentation: + # + # Important: Context Variables should be created at the top module + # level and never in closures. Context objects hold strong + # references to context variables which prevents context variables + # from being properly garbage collected. + ID_VAR = ContextVar("id", default=None) + VAR_VAR = ContextVar("var", default=None) + ContextVar = None +except ImportError: + Context = ContextVar = copy_context = None + +# We don't support testing if greenlet's built-in context var support is disabled. +@skipUnless(Context is not None, "ContextVar not supported") +class ContextVarsTests(TestCase): + def _new_ctx_run(self, *args, **kwargs): + return copy_context().run(*args, **kwargs) + + def _increment(self, greenlet_id, callback, counts, expect): + ctx_var = ID_VAR + if expect is None: + self.assertIsNone(ctx_var.get()) + else: + self.assertEqual(ctx_var.get(), expect) + ctx_var.set(greenlet_id) + for _ in range(2): + counts[ctx_var.get()] += 1 + callback() + + def _test_context(self, propagate_by): + # pylint:disable=too-many-branches + ID_VAR.set(0) + + callback = getcurrent().switch + counts = dict((i, 0) for i in range(5)) + + lets = [ + greenlet(partial( + partial( + copy_context().run, + self._increment + ) if propagate_by == "run" else self._increment, + greenlet_id=i, + callback=callback, + counts=counts, + expect=( + i - 1 if propagate_by == "share" else + 0 if propagate_by in ("set", "run") else None + ) + )) + for i in range(1, 5) + ] + + for let in lets: + if propagate_by == "set": + let.gr_context = copy_context() + elif propagate_by == "share": + let.gr_context = getcurrent().gr_context + + for i in range(2): + counts[ID_VAR.get()] += 1 + for let in lets: + let.switch() + + if propagate_by == "run": + # Must leave each context.run() in reverse order of entry + for let in reversed(lets): + let.switch() + else: + # No context.run(), so fine to exit in any order. + for let in lets: + let.switch() + + for let in lets: + self.assertTrue(let.dead) + # When using run(), we leave the run() as the greenlet dies, + # and there's no context "underneath". When not using run(), + # gr_context still reflects the context the greenlet was + # running in. + if propagate_by == 'run': + self.assertIsNone(let.gr_context) + else: + self.assertIsNotNone(let.gr_context) + + + if propagate_by == "share": + self.assertEqual(counts, {0: 1, 1: 1, 2: 1, 3: 1, 4: 6}) + else: + self.assertEqual(set(counts.values()), set([2])) + + def test_context_propagated_by_context_run(self): + self._new_ctx_run(self._test_context, "run") + + def test_context_propagated_by_setting_attribute(self): + self._new_ctx_run(self._test_context, "set") + + def test_context_not_propagated(self): + self._new_ctx_run(self._test_context, None) + + def test_context_shared(self): + self._new_ctx_run(self._test_context, "share") + + def test_break_ctxvars(self): + let1 = greenlet(copy_context().run) + let2 = greenlet(copy_context().run) + let1.switch(getcurrent().switch) + let2.switch(getcurrent().switch) + # Since let2 entered the current context and let1 exits its own, the + # interpreter emits: + # RuntimeError: cannot exit context: thread state references a different context object + let1.switch() + + def test_not_broken_if_using_attribute_instead_of_context_run(self): + let1 = greenlet(getcurrent().switch) + let2 = greenlet(getcurrent().switch) + let1.gr_context = copy_context() + let2.gr_context = copy_context() + let1.switch() + let2.switch() + let1.switch() + let2.switch() + + def test_context_assignment_while_running(self): + # pylint:disable=too-many-statements + ID_VAR.set(None) + + def target(): + self.assertIsNone(ID_VAR.get()) + self.assertIsNone(gr.gr_context) + + # Context is created on first use + ID_VAR.set(1) + self.assertIsInstance(gr.gr_context, Context) + self.assertEqual(ID_VAR.get(), 1) + self.assertEqual(gr.gr_context[ID_VAR], 1) + + # Clearing the context makes it get re-created as another + # empty context when next used + old_context = gr.gr_context + gr.gr_context = None # assign None while running + self.assertIsNone(ID_VAR.get()) + self.assertIsNone(gr.gr_context) + ID_VAR.set(2) + self.assertIsInstance(gr.gr_context, Context) + self.assertEqual(ID_VAR.get(), 2) + self.assertEqual(gr.gr_context[ID_VAR], 2) + + new_context = gr.gr_context + getcurrent().parent.switch((old_context, new_context)) + # parent switches us back to old_context + + self.assertEqual(ID_VAR.get(), 1) + gr.gr_context = new_context # assign non-None while running + self.assertEqual(ID_VAR.get(), 2) + + getcurrent().parent.switch() + # parent switches us back to no context + self.assertIsNone(ID_VAR.get()) + self.assertIsNone(gr.gr_context) + gr.gr_context = old_context + self.assertEqual(ID_VAR.get(), 1) + + getcurrent().parent.switch() + # parent switches us back to no context + self.assertIsNone(ID_VAR.get()) + self.assertIsNone(gr.gr_context) + + gr = greenlet(target) + + with self.assertRaisesRegex(AttributeError, "can't delete context attribute"): + del gr.gr_context + + self.assertIsNone(gr.gr_context) + old_context, new_context = gr.switch() + self.assertIs(new_context, gr.gr_context) + self.assertEqual(old_context[ID_VAR], 1) + self.assertEqual(new_context[ID_VAR], 2) + self.assertEqual(new_context.run(ID_VAR.get), 2) + gr.gr_context = old_context # assign non-None while suspended + gr.switch() + self.assertIs(gr.gr_context, new_context) + gr.gr_context = None # assign None while suspended + gr.switch() + self.assertIs(gr.gr_context, old_context) + gr.gr_context = None + gr.switch() + self.assertIsNone(gr.gr_context) + + # Make sure there are no reference leaks + gr = None + gc.collect() + # Python 3.14 elides reference counting operations + # in some cases. See https://github.com/python/cpython/pull/130708 + self.assertEqual(sys.getrefcount(old_context), 2 if not PY314 else 1) + self.assertEqual(sys.getrefcount(new_context), 2 if not PY314 else 1) + + def test_context_assignment_different_thread(self): + import threading + VAR_VAR.set(None) + ctx = Context() + + is_running = threading.Event() + should_suspend = threading.Event() + did_suspend = threading.Event() + should_exit = threading.Event() + holder = [] + + def greenlet_in_thread_fn(): + VAR_VAR.set(1) + is_running.set() + should_suspend.wait(10) + VAR_VAR.set(2) + getcurrent().parent.switch() + holder.append(VAR_VAR.get()) + + def thread_fn(): + gr = greenlet(greenlet_in_thread_fn) + gr.gr_context = ctx + holder.append(gr) + gr.switch() + did_suspend.set() + should_exit.wait(10) + gr.switch() + del gr + greenlet() # trigger cleanup + + thread = threading.Thread(target=thread_fn, daemon=True) + thread.start() + is_running.wait(10) + gr = holder[0] + + # Can't access or modify context if the greenlet is running + # in a different thread + with self.assertRaisesRegex(ValueError, "running in a different"): + getattr(gr, 'gr_context') + with self.assertRaisesRegex(ValueError, "running in a different"): + gr.gr_context = None + + should_suspend.set() + did_suspend.wait(10) + + # OK to access and modify context if greenlet is suspended + self.assertIs(gr.gr_context, ctx) + self.assertEqual(gr.gr_context[VAR_VAR], 2) + gr.gr_context = None + + should_exit.set() + thread.join(10) + + self.assertEqual(holder, [gr, None]) + + # Context can still be accessed/modified when greenlet is dead: + self.assertIsNone(gr.gr_context) + gr.gr_context = ctx + self.assertIs(gr.gr_context, ctx) + + # Otherwise we leak greenlets on some platforms. + # XXX: Should be able to do this automatically + del holder[:] + gr = None + thread = None + + def test_context_assignment_wrong_type(self): + g = greenlet() + with self.assertRaisesRegex(TypeError, + "greenlet context must be a contextvars.Context or None"): + g.gr_context = self + + +@skipIf(Context is not None, "ContextVar supported") +class NoContextVarsTests(TestCase): + def test_contextvars_errors(self): + let1 = greenlet(getcurrent().switch) + self.assertFalse(hasattr(let1, 'gr_context')) + with self.assertRaises(AttributeError): + getattr(let1, 'gr_context') + + with self.assertRaises(AttributeError): + let1.gr_context = None + + let1.switch() + + with self.assertRaises(AttributeError): + getattr(let1, 'gr_context') + + with self.assertRaises(AttributeError): + let1.gr_context = None + + del let1 + + +if __name__ == '__main__': + unittest.main() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_cpp.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_cpp.py new file mode 100644 index 0000000000000000000000000000000000000000..2d0cc9c9705cadaa7cfee28ce24944ca5cd1f639 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_cpp.py @@ -0,0 +1,73 @@ +from __future__ import print_function +from __future__ import absolute_import + +import subprocess +import unittest + +import greenlet +from . import _test_extension_cpp +from . import TestCase +from . import WIN + +class CPPTests(TestCase): + def test_exception_switch(self): + greenlets = [] + for i in range(4): + g = greenlet.greenlet(_test_extension_cpp.test_exception_switch) + g.switch(i) + greenlets.append(g) + for i, g in enumerate(greenlets): + self.assertEqual(g.switch(), i) + + def _do_test_unhandled_exception(self, target): + import os + import sys + script = os.path.join( + os.path.dirname(__file__), + 'fail_cpp_exception.py', + ) + args = [sys.executable, script, target.__name__ if not isinstance(target, str) else target] + __traceback_info__ = args + with self.assertRaises(subprocess.CalledProcessError) as exc: + subprocess.check_output( + args, + encoding='utf-8', + stderr=subprocess.STDOUT + ) + + ex = exc.exception + expected_exit = self.get_expected_returncodes_for_aborted_process() + self.assertIn(ex.returncode, expected_exit) + self.assertIn('fail_cpp_exception is running', ex.output) + return ex.output + + + def test_unhandled_nonstd_exception_aborts(self): + # verify that plain unhandled throw aborts + self._do_test_unhandled_exception(_test_extension_cpp.test_exception_throw_nonstd) + + def test_unhandled_std_exception_aborts(self): + # verify that plain unhandled throw aborts + self._do_test_unhandled_exception(_test_extension_cpp.test_exception_throw_std) + + @unittest.skipIf(WIN, "XXX: This does not crash on Windows") + # Meaning the exception is getting lost somewhere... + def test_unhandled_std_exception_as_greenlet_function_aborts(self): + # verify that plain unhandled throw aborts + output = self._do_test_unhandled_exception('run_as_greenlet_target') + self.assertIn( + # We really expect this to be prefixed with "greenlet: Unhandled C++ exception:" + # as added by our handler for std::exception (see TUserGreenlet.cpp), but + # that's not correct everywhere --- our handler never runs before std::terminate + # gets called (for example, on arm32). + 'Thrown from an extension.', + output + ) + + def test_unhandled_exception_in_greenlet_aborts(self): + # verify that unhandled throw called in greenlet aborts too + self._do_test_unhandled_exception('run_unhandled_exception_in_greenlet_aborts') + + +if __name__ == '__main__': + unittest.main() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_extension_interface.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_extension_interface.py new file mode 100644 index 0000000000000000000000000000000000000000..34b66567fc60d68988858a41c8ca98d29b90ac5e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_extension_interface.py @@ -0,0 +1,115 @@ +from __future__ import print_function +from __future__ import absolute_import + +import sys + +import greenlet +from . import _test_extension +from . import TestCase + +# pylint:disable=c-extension-no-member + +class CAPITests(TestCase): + def test_switch(self): + self.assertEqual( + 50, _test_extension.test_switch(greenlet.greenlet(lambda: 50))) + + def test_switch_kwargs(self): + def adder(x, y): + return x * y + g = greenlet.greenlet(adder) + self.assertEqual(6, _test_extension.test_switch_kwargs(g, x=3, y=2)) + + def test_setparent(self): + # pylint:disable=disallowed-name + def foo(): + def bar(): + greenlet.getcurrent().parent.switch() + + # This final switch should go back to the main greenlet, since + # the test_setparent() function in the C extension should have + # reparented this greenlet. + greenlet.getcurrent().parent.switch() + raise AssertionError("Should never have reached this code") + child = greenlet.greenlet(bar) + child.switch() + greenlet.getcurrent().parent.switch(child) + greenlet.getcurrent().parent.throw( + AssertionError("Should never reach this code")) + foo_child = greenlet.greenlet(foo).switch() + self.assertEqual(None, _test_extension.test_setparent(foo_child)) + + def test_getcurrent(self): + _test_extension.test_getcurrent() + + def test_new_greenlet(self): + self.assertEqual(-15, _test_extension.test_new_greenlet(lambda: -15)) + + def test_raise_greenlet_dead(self): + self.assertRaises( + greenlet.GreenletExit, _test_extension.test_raise_dead_greenlet) + + def test_raise_greenlet_error(self): + self.assertRaises( + greenlet.error, _test_extension.test_raise_greenlet_error) + + def test_throw(self): + seen = [] + + def foo(): # pylint:disable=disallowed-name + try: + greenlet.getcurrent().parent.switch() + except ValueError: + seen.append(sys.exc_info()[1]) + except greenlet.GreenletExit: + raise AssertionError + g = greenlet.greenlet(foo) + g.switch() + _test_extension.test_throw(g) + self.assertEqual(len(seen), 1) + self.assertTrue( + isinstance(seen[0], ValueError), + "ValueError was not raised in foo()") + self.assertEqual( + str(seen[0]), + 'take that sucka!', + "message doesn't match") + + def test_non_traceback_param(self): + with self.assertRaises(TypeError) as exc: + _test_extension.test_throw_exact( + greenlet.getcurrent(), + Exception, + Exception(), + self + ) + self.assertEqual(str(exc.exception), + "throw() third argument must be a traceback object") + + def test_instance_of_wrong_type(self): + with self.assertRaises(TypeError) as exc: + _test_extension.test_throw_exact( + greenlet.getcurrent(), + Exception(), + BaseException(), + None, + ) + + self.assertEqual(str(exc.exception), + "instance exception may not have a separate value") + + def test_not_throwable(self): + with self.assertRaises(TypeError) as exc: + _test_extension.test_throw_exact( + greenlet.getcurrent(), + "abc", + None, + None, + ) + self.assertEqual(str(exc.exception), + "exceptions must be classes, or instances, not str") + + +if __name__ == '__main__': + import unittest + unittest.main() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_gc.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_gc.py new file mode 100644 index 0000000000000000000000000000000000000000..994addb9b757954b8355d04ba6ba5b7d6abda0bc --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_gc.py @@ -0,0 +1,86 @@ +import gc + +import weakref + +import greenlet + + +from . import TestCase +from .leakcheck import fails_leakcheck +# These only work with greenlet gc support +# which is no longer optional. +assert greenlet.GREENLET_USE_GC + +class GCTests(TestCase): + def test_dead_circular_ref(self): + o = weakref.ref(greenlet.greenlet(greenlet.getcurrent).switch()) + gc.collect() + if o() is not None: + import sys + print("O IS NOT NONE.", sys.getrefcount(o())) + self.assertIsNone(o()) + self.assertFalse(gc.garbage, gc.garbage) + + def test_circular_greenlet(self): + class circular_greenlet(greenlet.greenlet): + self = None + o = circular_greenlet() + o.self = o + o = weakref.ref(o) + gc.collect() + self.assertIsNone(o()) + self.assertFalse(gc.garbage, gc.garbage) + + def test_inactive_ref(self): + class inactive_greenlet(greenlet.greenlet): + def __init__(self): + greenlet.greenlet.__init__(self, run=self.run) + + def run(self): + pass + o = inactive_greenlet() + o = weakref.ref(o) + gc.collect() + self.assertIsNone(o()) + self.assertFalse(gc.garbage, gc.garbage) + + @fails_leakcheck + def test_finalizer_crash(self): + # This test is designed to crash when active greenlets + # are made garbage collectable, until the underlying + # problem is resolved. How does it work: + # - order of object creation is important + # - array is created first, so it is moved to unreachable first + # - we create a cycle between a greenlet and this array + # - we create an object that participates in gc, is only + # referenced by a greenlet, and would corrupt gc lists + # on destruction, the easiest is to use an object with + # a finalizer + # - because array is the first object in unreachable it is + # cleared first, which causes all references to greenlet + # to disappear and causes greenlet to be destroyed, but since + # it is still live it causes a switch during gc, which causes + # an object with finalizer to be destroyed, which causes stack + # corruption and then a crash + + class object_with_finalizer(object): + def __del__(self): + pass + array = [] + parent = greenlet.getcurrent() + def greenlet_body(): + greenlet.getcurrent().object = object_with_finalizer() + try: + parent.switch() + except greenlet.GreenletExit: + print("Got greenlet exit!") + finally: + del greenlet.getcurrent().object + g = greenlet.greenlet(greenlet_body) + g.array = array + array.append(g) + g.switch() + del array + del g + greenlet.getcurrent() + gc.collect() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_generator.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_generator.py new file mode 100644 index 0000000000000000000000000000000000000000..ca4a644b6e300910a78704593da592363d7db8e7 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_generator.py @@ -0,0 +1,59 @@ + +from greenlet import greenlet + +from . import TestCase + +class genlet(greenlet): + parent = None + def __init__(self, *args, **kwds): + self.args = args + self.kwds = kwds + + def run(self): + fn, = self.fn + fn(*self.args, **self.kwds) + + def __iter__(self): + return self + + def __next__(self): + self.parent = greenlet.getcurrent() + result = self.switch() + if self: + return result + + raise StopIteration + + next = __next__ + + +def Yield(value): + g = greenlet.getcurrent() + while not isinstance(g, genlet): + if g is None: + raise RuntimeError('yield outside a genlet') + g = g.parent + g.parent.switch(value) + + +def generator(func): + class Generator(genlet): + fn = (func,) + return Generator + +# ____________________________________________________________ + + +class GeneratorTests(TestCase): + def test_generator(self): + seen = [] + + def g(n): + for i in range(n): + seen.append(i) + Yield(i) + g = generator(g) + for _ in range(3): + for j in g(5): + seen.append(j) + self.assertEqual(seen, 3 * [0, 0, 1, 1, 2, 2, 3, 3, 4, 4]) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_generator_nested.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_generator_nested.py new file mode 100644 index 0000000000000000000000000000000000000000..8d752a63dd6560995d4d785069a61465e2a729c5 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_generator_nested.py @@ -0,0 +1,168 @@ + +from greenlet import greenlet +from . import TestCase +from .leakcheck import fails_leakcheck + +class genlet(greenlet): + parent = None + def __init__(self, *args, **kwds): + self.args = args + self.kwds = kwds + self.child = None + + def run(self): + # Note the function is packed in a tuple + # to avoid creating a bound method for it. + fn, = self.fn + fn(*self.args, **self.kwds) + + def __iter__(self): + return self + + def set_child(self, child): + self.child = child + + def __next__(self): + if self.child: + child = self.child + while child.child: + tmp = child + child = child.child + tmp.child = None + + result = child.switch() + else: + self.parent = greenlet.getcurrent() + result = self.switch() + + if self: + return result + + raise StopIteration + + next = __next__ + +def Yield(value, level=1): + g = greenlet.getcurrent() + + while level != 0: + if not isinstance(g, genlet): + raise RuntimeError('yield outside a genlet') + if level > 1: + g.parent.set_child(g) + g = g.parent + level -= 1 + + g.switch(value) + + +def Genlet(func): + class TheGenlet(genlet): + fn = (func,) + return TheGenlet + +# ____________________________________________________________ + + +def g1(n, seen): + for i in range(n): + seen.append(i + 1) + yield i + + +def g2(n, seen): + for i in range(n): + seen.append(i + 1) + Yield(i) + +g2 = Genlet(g2) + + +def nested(i): + Yield(i) + + +def g3(n, seen): + for i in range(n): + seen.append(i + 1) + nested(i) +g3 = Genlet(g3) + + +def a(n): + if n == 0: + return + for ii in ax(n - 1): + Yield(ii) + Yield(n) +ax = Genlet(a) + + +def perms(l): + if len(l) > 1: + for e in l: + # No syntactical sugar for generator expressions + x = [Yield([e] + p) for p in perms([x for x in l if x != e])] + assert x + else: + Yield(l) +perms = Genlet(perms) + + +def gr1(n): + for ii in range(1, n): + Yield(ii) + Yield(ii * ii, 2) + +gr1 = Genlet(gr1) + + +def gr2(n, seen): + for ii in gr1(n): + seen.append(ii) + +gr2 = Genlet(gr2) + + +class NestedGeneratorTests(TestCase): + def test_layered_genlets(self): + seen = [] + for ii in gr2(5, seen): + seen.append(ii) + self.assertEqual(seen, [1, 1, 2, 4, 3, 9, 4, 16]) + + @fails_leakcheck + def test_permutations(self): + gen_perms = perms(list(range(4))) + permutations = list(gen_perms) + self.assertEqual(len(permutations), 4 * 3 * 2 * 1) + self.assertIn([0, 1, 2, 3], permutations) + self.assertIn([3, 2, 1, 0], permutations) + res = [] + for ii in zip(perms(list(range(4))), perms(list(range(3)))): + res.append(ii) + self.assertEqual( + res, + [([0, 1, 2, 3], [0, 1, 2]), ([0, 1, 3, 2], [0, 2, 1]), + ([0, 2, 1, 3], [1, 0, 2]), ([0, 2, 3, 1], [1, 2, 0]), + ([0, 3, 1, 2], [2, 0, 1]), ([0, 3, 2, 1], [2, 1, 0])]) + # XXX Test to make sure we are working as a generator expression + + def test_genlet_simple(self): + for g in g1, g2, g3: + seen = [] + for _ in range(3): + for j in g(5, seen): + seen.append(j) + self.assertEqual(seen, 3 * [1, 0, 2, 1, 3, 2, 4, 3, 5, 4]) + + def test_genlet_bad(self): + try: + Yield(10) + except RuntimeError: + pass + + def test_nested_genlets(self): + seen = [] + for ii in ax(5): + seen.append(ii) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_greenlet.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_greenlet.py new file mode 100644 index 0000000000000000000000000000000000000000..1fa4bd11554fafdb3c87f157bf215009af3a1153 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_greenlet.py @@ -0,0 +1,1353 @@ +import gc +import sys +import time +import threading +import unittest + +from abc import ABCMeta +from abc import abstractmethod + +import greenlet +from greenlet import greenlet as RawGreenlet +from . import TestCase +from . import RUNNING_ON_MANYLINUX +from . import PY313 +from . import PY314 +from . import RUNNING_ON_FREETHREAD_BUILD +from .leakcheck import fails_leakcheck + + +# We manually manage locks in many tests +# pylint:disable=consider-using-with +# pylint:disable=too-many-public-methods +# This module is quite large. +# TODO: Refactor into separate test files. For example, +# put all the regression tests that used to produce +# crashes in test_greenlet_no_crash; put tests that DO deliberately crash +# the interpreter into test_greenlet_crash. +# pylint:disable=too-many-lines + +class SomeError(Exception): + pass + + +def fmain(seen): + try: + greenlet.getcurrent().parent.switch() + except: + seen.append(sys.exc_info()[0]) + raise + raise SomeError + + +def send_exception(g, exc): + # note: send_exception(g, exc) can be now done with g.throw(exc). + # the purpose of this test is to explicitly check the propagation rules. + def crasher(exc): + raise exc + g1 = RawGreenlet(crasher, parent=g) + g1.switch(exc) + + +class TestGreenlet(TestCase): + + def _do_simple_test(self): + lst = [] + + def f(): + lst.append(1) + greenlet.getcurrent().parent.switch() + lst.append(3) + g = RawGreenlet(f) + lst.append(0) + g.switch() + lst.append(2) + g.switch() + lst.append(4) + self.assertEqual(lst, list(range(5))) + + def test_simple(self): + self._do_simple_test() + + def test_switch_no_run_raises_AttributeError(self): + g = RawGreenlet() + with self.assertRaises(AttributeError) as exc: + g.switch() + + self.assertIn("run", str(exc.exception)) + + def test_throw_no_run_raises_AttributeError(self): + g = RawGreenlet() + with self.assertRaises(AttributeError) as exc: + g.throw(SomeError) + + self.assertIn("run", str(exc.exception)) + + def test_parent_equals_None(self): + g = RawGreenlet(parent=None) + self.assertIsNotNone(g) + self.assertIs(g.parent, greenlet.getcurrent()) + + def test_run_equals_None(self): + g = RawGreenlet(run=None) + self.assertIsNotNone(g) + self.assertIsNone(g.run) + + def test_two_children(self): + lst = [] + + def f(): + lst.append(1) + greenlet.getcurrent().parent.switch() + lst.extend([1, 1]) + g = RawGreenlet(f) + h = RawGreenlet(f) + g.switch() + self.assertEqual(len(lst), 1) + h.switch() + self.assertEqual(len(lst), 2) + h.switch() + self.assertEqual(len(lst), 4) + self.assertEqual(h.dead, True) + g.switch() + self.assertEqual(len(lst), 6) + self.assertEqual(g.dead, True) + + def test_two_recursive_children(self): + lst = [] + + def f(): + lst.append('b') + greenlet.getcurrent().parent.switch() + + def g(): + lst.append('a') + g = RawGreenlet(f) + g.switch() + lst.append('c') + self.assertEqual(sys.getrefcount(g), 2 if not PY314 else 1) + g = RawGreenlet(g) + # Python 3.14 elides reference counting operations + # in some cases. See https://github.com/python/cpython/pull/130708 + self.assertEqual(sys.getrefcount(g), 2 if not PY314 else 1) + g.switch() + self.assertEqual(lst, ['a', 'b', 'c']) + # Just the one in this frame, plus the one on the stack we pass to the function + self.assertEqual(sys.getrefcount(g), 2 if not PY314 else 1) + + def test_threads(self): + success = [] + + def f(): + self._do_simple_test() + success.append(True) + ths = [threading.Thread(target=f) for i in range(10)] + for th in ths: + th.start() + for th in ths: + th.join(10) + self.assertEqual(len(success), len(ths)) + + def test_exception(self): + seen = [] + g1 = RawGreenlet(fmain) + g2 = RawGreenlet(fmain) + g1.switch(seen) + g2.switch(seen) + g2.parent = g1 + + self.assertEqual(seen, []) + #with self.assertRaises(SomeError): + # p("***Switching back") + # g2.switch() + # Creating this as a bound method can reveal bugs that + # are hidden on newer versions of Python that avoid creating + # bound methods for direct expressions; IOW, don't use the `with` + # form! + self.assertRaises(SomeError, g2.switch) + self.assertEqual(seen, [SomeError]) + + value = g2.switch() + self.assertEqual(value, ()) + self.assertEqual(seen, [SomeError]) + + value = g2.switch(25) + self.assertEqual(value, 25) + self.assertEqual(seen, [SomeError]) + + + def test_send_exception(self): + seen = [] + g1 = RawGreenlet(fmain) + g1.switch(seen) + self.assertRaises(KeyError, send_exception, g1, KeyError) + self.assertEqual(seen, [KeyError]) + + def test_dealloc(self): + seen = [] + g1 = RawGreenlet(fmain) + g2 = RawGreenlet(fmain) + g1.switch(seen) + g2.switch(seen) + self.assertEqual(seen, []) + del g1 + gc.collect() + self.assertEqual(seen, [greenlet.GreenletExit]) + del g2 + gc.collect() + self.assertEqual(seen, [greenlet.GreenletExit, greenlet.GreenletExit]) + + def test_dealloc_catches_GreenletExit_throws_other(self): + def run(): + try: + greenlet.getcurrent().parent.switch() + except greenlet.GreenletExit: + raise SomeError from None + + g = RawGreenlet(run) + g.switch() + # Destroying the only reference to the greenlet causes it + # to get GreenletExit; when it in turn raises, even though we're the parent + # we don't get the exception, it just gets printed. + # When we run on 3.8 only, we can use sys.unraisablehook + oldstderr = sys.stderr + from io import StringIO + stderr = sys.stderr = StringIO() + try: + del g + finally: + sys.stderr = oldstderr + + v = stderr.getvalue() + self.assertIn("Exception", v) + self.assertIn('ignored', v) + self.assertIn("SomeError", v) + + + @unittest.skipIf( + PY313 and RUNNING_ON_MANYLINUX, + "Sometimes flaky (getting one GreenletExit in the second list)" + # Probably due to funky timing interactions? + # TODO: FIXME Make that work. + ) + + def test_dealloc_other_thread(self): + seen = [] + someref = [] + + bg_glet_created_running_and_no_longer_ref_in_bg = threading.Event() + fg_ref_released = threading.Event() + bg_should_be_clear = threading.Event() + ok_to_exit_bg_thread = threading.Event() + + def f(): + g1 = RawGreenlet(fmain) + g1.switch(seen) + someref.append(g1) + del g1 + gc.collect() + bg_glet_created_running_and_no_longer_ref_in_bg.set() + fg_ref_released.wait(3) + + RawGreenlet() # trigger release + bg_should_be_clear.set() + ok_to_exit_bg_thread.wait(3) + RawGreenlet() # One more time + + t = threading.Thread(target=f) + t.start() + bg_glet_created_running_and_no_longer_ref_in_bg.wait(10) + + self.assertEqual(seen, []) + self.assertEqual(len(someref), 1) + del someref[:] + if not RUNNING_ON_FREETHREAD_BUILD: + # The free-threaded GC is very different. In 3.14rc1, + # the free-threaded GC traverses ``g1``, realizes it is + # not referenced from anywhere else IT cares about, + # calls ``tp_clear`` and then ``green_dealloc``. This causes + # the greenlet to lose its reference to the main greenlet and thread + # in which it was running, which means we can no longer throw an + # exception into it, preventing the rest of this test from working. + # Standard 3.14 traverses the object but doesn't ``tp_clear`` or + # ``green_dealloc`` it. + gc.collect() + # g1 is not released immediately because it's from another thread; + # switching back to that thread will allocate a greenlet and thus + # trigger deletion actions. + self.assertEqual(seen, []) + fg_ref_released.set() + bg_should_be_clear.wait(3) + try: + self.assertEqual(seen, [greenlet.GreenletExit]) + finally: + ok_to_exit_bg_thread.set() + t.join(10) + del seen[:] + del someref[:] + + def test_frame(self): + def f1(): + f = sys._getframe(0) # pylint:disable=protected-access + self.assertEqual(f.f_back, None) + greenlet.getcurrent().parent.switch(f) + return "meaning of life" + g = RawGreenlet(f1) + frame = g.switch() + self.assertTrue(frame is g.gr_frame) + self.assertTrue(g) + + from_g = g.switch() + self.assertFalse(g) + self.assertEqual(from_g, 'meaning of life') + self.assertEqual(g.gr_frame, None) + + def test_thread_bug(self): + def runner(x): + g = RawGreenlet(lambda: time.sleep(x)) + g.switch() + t1 = threading.Thread(target=runner, args=(0.2,)) + t2 = threading.Thread(target=runner, args=(0.3,)) + t1.start() + t2.start() + t1.join(10) + t2.join(10) + + def test_switch_kwargs(self): + def run(a, b): + self.assertEqual(a, 4) + self.assertEqual(b, 2) + return 42 + x = RawGreenlet(run).switch(a=4, b=2) + self.assertEqual(x, 42) + + def test_switch_kwargs_to_parent(self): + def run(x): + greenlet.getcurrent().parent.switch(x=x) + greenlet.getcurrent().parent.switch(2, x=3) + return x, x ** 2 + g = RawGreenlet(run) + self.assertEqual({'x': 3}, g.switch(3)) + self.assertEqual(((2,), {'x': 3}), g.switch()) + self.assertEqual((3, 9), g.switch()) + + def test_switch_to_another_thread(self): + data = {} + created_event = threading.Event() + done_event = threading.Event() + + def run(): + data['g'] = RawGreenlet(lambda: None) + created_event.set() + done_event.wait(10) + thread = threading.Thread(target=run) + thread.start() + created_event.wait(10) + with self.assertRaises(greenlet.error): + data['g'].switch() + done_event.set() + thread.join(10) + # XXX: Should handle this automatically + data.clear() + + def test_exc_state(self): + def f(): + try: + raise ValueError('fun') + except: # pylint:disable=bare-except + exc_info = sys.exc_info() + RawGreenlet(h).switch() + self.assertEqual(exc_info, sys.exc_info()) + + def h(): + self.assertEqual(sys.exc_info(), (None, None, None)) + + RawGreenlet(f).switch() + + def test_instance_dict(self): + def f(): + greenlet.getcurrent().test = 42 + def deldict(g): + del g.__dict__ + def setdict(g, value): + g.__dict__ = value + g = RawGreenlet(f) + self.assertEqual(g.__dict__, {}) + g.switch() + self.assertEqual(g.test, 42) + self.assertEqual(g.__dict__, {'test': 42}) + g.__dict__ = g.__dict__ + self.assertEqual(g.__dict__, {'test': 42}) + self.assertRaises(TypeError, deldict, g) + self.assertRaises(TypeError, setdict, g, 42) + + def test_running_greenlet_has_no_run(self): + has_run = [] + def func(): + has_run.append( + hasattr(greenlet.getcurrent(), 'run') + ) + + g = RawGreenlet(func) + g.switch() + self.assertEqual(has_run, [False]) + + def test_deepcopy(self): + import copy + self.assertRaises(TypeError, copy.copy, RawGreenlet()) + self.assertRaises(TypeError, copy.deepcopy, RawGreenlet()) + + def test_parent_restored_on_kill(self): + hub = RawGreenlet(lambda: None) + main = greenlet.getcurrent() + result = [] + def worker(): + try: + # Wait to be killed by going back to the test. + main.switch() + except greenlet.GreenletExit: + # Resurrect and switch to parent + result.append(greenlet.getcurrent().parent) + result.append(greenlet.getcurrent()) + hub.switch() + g = RawGreenlet(worker, parent=hub) + g.switch() + # delete the only reference, thereby raising GreenletExit + del g + self.assertTrue(result) + self.assertIs(result[0], main) + self.assertIs(result[1].parent, hub) + # Delete them, thereby breaking the cycle between the greenlet + # and the frame, which otherwise would never be collectable + # XXX: We should be able to automatically fix this. + del result[:] + hub = None + main = None + + def test_parent_return_failure(self): + # No run causes AttributeError on switch + g1 = RawGreenlet() + # Greenlet that implicitly switches to parent + g2 = RawGreenlet(lambda: None, parent=g1) + # AttributeError should propagate to us, no fatal errors + with self.assertRaises(AttributeError): + g2.switch() + + def test_throw_exception_not_lost(self): + class mygreenlet(RawGreenlet): + def __getattribute__(self, name): + try: + raise Exception # pylint:disable=broad-exception-raised + except: # pylint:disable=bare-except + pass + return RawGreenlet.__getattribute__(self, name) + g = mygreenlet(lambda: None) + self.assertRaises(SomeError, g.throw, SomeError()) + + @fails_leakcheck + def _do_test_throw_to_dead_thread_doesnt_crash(self, wait_for_cleanup=False): + result = [] + def worker(): + greenlet.getcurrent().parent.switch() + + def creator(): + g = RawGreenlet(worker) + g.switch() + result.append(g) + if wait_for_cleanup: + # Let this greenlet eventually be cleaned up. + g.switch() + greenlet.getcurrent() + t = threading.Thread(target=creator) + t.start() + t.join(10) + del t + # But, depending on the operating system, the thread + # deallocator may not actually have run yet! So we can't be + # sure about the error message unless we wait. + if wait_for_cleanup: + self.wait_for_pending_cleanups() + with self.assertRaises(greenlet.error) as exc: + result[0].throw(SomeError) + + if not wait_for_cleanup: + s = str(exc.exception) + self.assertTrue( + s == "cannot switch to a different thread (which happens to have exited)" + or 'Cannot switch' in s + ) + else: + self.assertEqual( + str(exc.exception), + "cannot switch to a different thread (which happens to have exited)", + ) + + if hasattr(result[0].gr_frame, 'clear'): + # The frame is actually executing (it thinks), we can't clear it. + with self.assertRaises(RuntimeError): + result[0].gr_frame.clear() + # Unfortunately, this doesn't actually clear the references, they're in the + # fast local array. + if not wait_for_cleanup: + # f_locals has no clear method in Python 3.13 + if hasattr(result[0].gr_frame.f_locals, 'clear'): + result[0].gr_frame.f_locals.clear() + else: + self.assertIsNone(result[0].gr_frame) + + del creator + worker = None + del result[:] + # XXX: we ought to be able to automatically fix this. + # See issue 252 + self.expect_greenlet_leak = True # direct us not to wait for it to go away + + @fails_leakcheck + def test_throw_to_dead_thread_doesnt_crash(self): + self._do_test_throw_to_dead_thread_doesnt_crash() + + def test_throw_to_dead_thread_doesnt_crash_wait(self): + self._do_test_throw_to_dead_thread_doesnt_crash(True) + + @fails_leakcheck + def test_recursive_startup(self): + class convoluted(RawGreenlet): + def __init__(self): + RawGreenlet.__init__(self) + self.count = 0 + def __getattribute__(self, name): + if name == 'run' and self.count == 0: + self.count = 1 + self.switch(43) + return RawGreenlet.__getattribute__(self, name) + def run(self, value): + while True: + self.parent.switch(value) + g = convoluted() + self.assertEqual(g.switch(42), 43) + # Exits the running greenlet, otherwise it leaks + # XXX: We should be able to automatically fix this + #g.throw(greenlet.GreenletExit) + #del g + self.expect_greenlet_leak = True + + def test_threaded_updatecurrent(self): + # released when main thread should execute + lock1 = threading.Lock() + lock1.acquire() + # released when another thread should execute + lock2 = threading.Lock() + lock2.acquire() + class finalized(object): + def __del__(self): + # happens while in green_updatecurrent() in main greenlet + # should be very careful not to accidentally call it again + # at the same time we must make sure another thread executes + lock2.release() + lock1.acquire() + # now ts_current belongs to another thread + def deallocator(): + greenlet.getcurrent().parent.switch() + def fthread(): + lock2.acquire() + greenlet.getcurrent() + del g[0] + lock1.release() + lock2.acquire() + greenlet.getcurrent() + lock1.release() + main = greenlet.getcurrent() + g = [RawGreenlet(deallocator)] + g[0].bomb = finalized() + g[0].switch() + t = threading.Thread(target=fthread) + t.start() + # let another thread grab ts_current and deallocate g[0] + lock2.release() + lock1.acquire() + # this is the corner stone + # getcurrent() will notice that ts_current belongs to another thread + # and start the update process, which would notice that g[0] should + # be deallocated, and that will execute an object's finalizer. Now, + # that object will let another thread run so it can grab ts_current + # again, which would likely crash the interpreter if there's no + # check for this case at the end of green_updatecurrent(). This test + # passes if getcurrent() returns correct result, but it's likely + # to randomly crash if it's not anyway. + self.assertEqual(greenlet.getcurrent(), main) + # wait for another thread to complete, just in case + t.join(10) + + def test_dealloc_switch_args_not_lost(self): + seen = [] + def worker(): + # wait for the value + value = greenlet.getcurrent().parent.switch() + # delete all references to ourself + del worker[0] + initiator.parent = greenlet.getcurrent().parent + # switch to main with the value, but because + # ts_current is the last reference to us we + # return here immediately, where we resurrect ourself. + try: + greenlet.getcurrent().parent.switch(value) + finally: + seen.append(greenlet.getcurrent()) + def initiator(): + return 42 # implicitly falls thru to parent + + worker = [RawGreenlet(worker)] + + worker[0].switch() # prime worker + initiator = RawGreenlet(initiator, worker[0]) + value = initiator.switch() + self.assertTrue(seen) + self.assertEqual(value, 42) + + def test_tuple_subclass(self): + # The point of this test is to see what happens when a custom + # tuple subclass is used as an object passed directly to the C + # function ``green_switch``; part of ``green_switch`` checks + # the ``len()`` of the ``args`` tuple, and that can call back + # into Python. Here, when it calls back into Python, we + # recursively enter ``green_switch`` again. + + # This test is really only relevant on Python 2. The builtin + # `apply` function directly passes the given args tuple object + # to the underlying function, whereas the Python 3 version + # unpacks and repacks into an actual tuple. This could still + # happen using the C API on Python 3 though. We should write a + # builtin version of apply() ourself. + def _apply(func, a, k): + func(*a, **k) + + class mytuple(tuple): + def __len__(self): + greenlet.getcurrent().switch() + return tuple.__len__(self) + args = mytuple() + kwargs = dict(a=42) + def switchapply(): + _apply(greenlet.getcurrent().parent.switch, args, kwargs) + g = RawGreenlet(switchapply) + self.assertEqual(g.switch(), kwargs) + + def test_abstract_subclasses(self): + AbstractSubclass = ABCMeta( + 'AbstractSubclass', + (RawGreenlet,), + {'run': abstractmethod(lambda self: None)}) + + class BadSubclass(AbstractSubclass): + pass + + class GoodSubclass(AbstractSubclass): + def run(self): + pass + + GoodSubclass() # should not raise + self.assertRaises(TypeError, BadSubclass) + + def test_implicit_parent_with_threads(self): + if not gc.isenabled(): + return # cannot test with disabled gc + N = gc.get_threshold()[0] + if N < 50: + return # cannot test with such a small N + def attempt(): + lock1 = threading.Lock() + lock1.acquire() + lock2 = threading.Lock() + lock2.acquire() + recycled = [False] + def another_thread(): + lock1.acquire() # wait for gc + greenlet.getcurrent() # update ts_current + lock2.release() # release gc + t = threading.Thread(target=another_thread) + t.start() + class gc_callback(object): + def __del__(self): + lock1.release() + lock2.acquire() + recycled[0] = True + class garbage(object): + def __init__(self): + self.cycle = self + self.callback = gc_callback() + l = [] + x = range(N*2) + current = greenlet.getcurrent() + g = garbage() + for _ in x: + g = None # lose reference to garbage + if recycled[0]: + # gc callback called prematurely + t.join(10) + return False + last = RawGreenlet() + if recycled[0]: + break # yes! gc called in green_new + l.append(last) # increase allocation counter + else: + # gc callback not called when expected + gc.collect() + if recycled[0]: + t.join(10) + return False + self.assertEqual(last.parent, current) + for g in l: + self.assertEqual(g.parent, current) + return True + for _ in range(5): + if attempt(): + break + + def test_issue_245_reference_counting_subclass_no_threads(self): + # https://github.com/python-greenlet/greenlet/issues/245 + # Before the fix, this crashed pretty reliably on + # Python 3.10, at least on macOS; but much less reliably on other + # interpreters (memory layout must have changed). + # The threaded test crashed more reliably on more interpreters. + from greenlet import getcurrent + from greenlet import GreenletExit + + class Greenlet(RawGreenlet): + pass + + initial_refs = sys.getrefcount(Greenlet) + # This has to be an instance variable because + # Python 2 raises a SyntaxError if we delete a local + # variable referenced in an inner scope. + self.glets = [] # pylint:disable=attribute-defined-outside-init + + def greenlet_main(): + try: + getcurrent().parent.switch() + except GreenletExit: + self.glets.append(getcurrent()) + + # Before the + for _ in range(10): + Greenlet(greenlet_main).switch() + + del self.glets + if RUNNING_ON_FREETHREAD_BUILD: + # Free-threaded builds make types immortal, which gives us + # weird numbers here, and we actually do APPEAR to end + # up with one more reference than we started with, at least on 3.14. + # If we change the code in green_dealloc to avoid increffing the type + # (which fixed this initial bug), then our leakchecks find other objects + # that have leaked, including a tuple, a dict, and a type. So that's not the + # right solution. Instead we change the test: + # XXX: FIXME: Is there a better way? + self.assertGreaterEqual(sys.getrefcount(Greenlet), initial_refs) + else: + self.assertEqual(sys.getrefcount(Greenlet), initial_refs) + + @unittest.skipIf( + PY313 and RUNNING_ON_MANYLINUX, + "The manylinux images appear to hang on this test on 3.13rc2" + # Or perhaps I just got tired of waiting for the 450s timeout. + # Still, it shouldn't take anywhere near that long. Does not reproduce in + # Ubuntu images, on macOS or Windows. + ) + def test_issue_245_reference_counting_subclass_threads(self): + # https://github.com/python-greenlet/greenlet/issues/245 + from threading import Thread + from threading import Event + + from greenlet import getcurrent + + class MyGreenlet(RawGreenlet): + pass + + glets = [] + ref_cleared = Event() + + def greenlet_main(): + getcurrent().parent.switch() + + def thread_main(greenlet_running_event): + mine = MyGreenlet(greenlet_main) + glets.append(mine) + # The greenlets being deleted must be active + mine.switch() + # Don't keep any reference to it in this thread + del mine + # Let main know we published our greenlet. + greenlet_running_event.set() + # Wait for main to let us know the references are + # gone and the greenlet objects no longer reachable + ref_cleared.wait(10) + # The creating thread must call getcurrent() (or a few other + # greenlet APIs) because that's when the thread-local list of dead + # greenlets gets cleared. + getcurrent() + + # We start with 3 references to the subclass: + # - This module + # - Its __mro__ + # - The __subclassess__ attribute of greenlet + # - (If we call gc.get_referents(), we find four entries, including + # some other tuple ``(greenlet)`` that I'm not sure about but must be part + # of the machinery.) + # + # On Python 3.10 it's often enough to just run 3 threads; on Python 2.7, + # more threads are needed, and the results are still + # non-deterministic. Presumably the memory layouts are different + initial_refs = sys.getrefcount(MyGreenlet) + thread_ready_events = [] + thread_count = initial_refs + 45 + if RUNNING_ON_FREETHREAD_BUILD: + # types are immortal, so this is a HUGE number most likely, + # and we can't create that many threads. + thread_count = 50 + for _ in range(thread_count): + event = Event() + thread = Thread(target=thread_main, args=(event,)) + thread_ready_events.append(event) + thread.start() + + + for done_event in thread_ready_events: + done_event.wait(10) + + + del glets[:] + ref_cleared.set() + # Let any other thread run; it will crash the interpreter + # if not fixed (or silently corrupt memory and we possibly crash + # later). + self.wait_for_pending_cleanups() + self.assertEqual(sys.getrefcount(MyGreenlet), initial_refs) + + def test_falling_off_end_switches_to_unstarted_parent_raises_error(self): + def no_args(): + return 13 + + parent_never_started = RawGreenlet(no_args) + + def leaf(): + return 42 + + child = RawGreenlet(leaf, parent_never_started) + + # Because the run function takes to arguments + with self.assertRaises(TypeError): + child.switch() + + def test_falling_off_end_switches_to_unstarted_parent_works(self): + def one_arg(x): + return (x, 24) + + parent_never_started = RawGreenlet(one_arg) + + def leaf(): + return 42 + + child = RawGreenlet(leaf, parent_never_started) + + result = child.switch() + self.assertEqual(result, (42, 24)) + + def test_switch_to_dead_greenlet_with_unstarted_perverse_parent(self): + class Parent(RawGreenlet): + def __getattribute__(self, name): + if name == 'run': + raise SomeError + + + parent_never_started = Parent() + seen = [] + child = RawGreenlet(lambda: seen.append(42), parent_never_started) + # Because we automatically start the parent when the child is + # finished + with self.assertRaises(SomeError): + child.switch() + + self.assertEqual(seen, [42]) + + with self.assertRaises(SomeError): + child.switch() + self.assertEqual(seen, [42]) + + def test_switch_to_dead_greenlet_reparent(self): + seen = [] + parent_never_started = RawGreenlet(lambda: seen.append(24)) + child = RawGreenlet(lambda: seen.append(42)) + + child.switch() + self.assertEqual(seen, [42]) + + child.parent = parent_never_started + # This actually is the same as switching to the parent. + result = child.switch() + self.assertIsNone(result) + self.assertEqual(seen, [42, 24]) + + def test_can_access_f_back_of_suspended_greenlet(self): + # This tests our frame rewriting to work around Python 3.12+ having + # some interpreter frames on the C stack. It will crash in the absence + # of that logic. + main = greenlet.getcurrent() + + def outer(): + inner() + + def inner(): + main.switch(sys._getframe(0)) + + hub = RawGreenlet(outer) + # start it + hub.switch() + + # start another greenlet to make sure we aren't relying on + # anything in `hub` still being on the C stack + unrelated = RawGreenlet(lambda: None) + unrelated.switch() + + # now it is suspended + self.assertIsNotNone(hub.gr_frame) + self.assertEqual(hub.gr_frame.f_code.co_name, "inner") + self.assertIsNotNone(hub.gr_frame.f_back) + self.assertEqual(hub.gr_frame.f_back.f_code.co_name, "outer") + # The next line is what would crash + self.assertIsNone(hub.gr_frame.f_back.f_back) + + def test_get_stack_with_nested_c_calls(self): + from functools import partial + from . import _test_extension_cpp + + def recurse(v): + if v > 0: + return v * _test_extension_cpp.test_call(partial(recurse, v - 1)) + return greenlet.getcurrent().parent.switch() + + gr = RawGreenlet(recurse) + gr.switch(5) + frame = gr.gr_frame + for i in range(5): + self.assertEqual(frame.f_locals["v"], i) + frame = frame.f_back + self.assertEqual(frame.f_locals["v"], 5) + self.assertIsNone(frame.f_back) + self.assertEqual(gr.switch(10), 1200) # 1200 = 5! * 10 + + def test_frames_always_exposed(self): + # On Python 3.12 this will crash if we don't set the + # gr_frames_always_exposed attribute. More background: + # https://github.com/python-greenlet/greenlet/issues/388 + main = greenlet.getcurrent() + + def outer(): + inner(sys._getframe(0)) + + def inner(frame): + main.switch(frame) + + gr = RawGreenlet(outer) + frame = gr.switch() + + # Do something else to clobber the part of the C stack used by `gr`, + # so we can't skate by on "it just happened to still be there" + unrelated = RawGreenlet(lambda: None) + unrelated.switch() + + self.assertEqual(frame.f_code.co_name, "outer") + # The next line crashes on 3.12 if we haven't exposed the frames. + self.assertIsNone(frame.f_back) + + +class TestGreenletSetParentErrors(TestCase): + def test_threaded_reparent(self): + data = {} + created_event = threading.Event() + done_event = threading.Event() + + def run(): + data['g'] = RawGreenlet(lambda: None) + created_event.set() + done_event.wait(10) + + def blank(): + greenlet.getcurrent().parent.switch() + + thread = threading.Thread(target=run) + thread.start() + created_event.wait(10) + g = RawGreenlet(blank) + g.switch() + with self.assertRaises(ValueError) as exc: + g.parent = data['g'] + done_event.set() + thread.join(10) + + self.assertEqual(str(exc.exception), "parent cannot be on a different thread") + + def test_unexpected_reparenting(self): + another = [] + def worker(): + g = RawGreenlet(lambda: None) + another.append(g) + g.switch() + t = threading.Thread(target=worker) + t.start() + t.join(10) + # The first time we switch (running g_initialstub(), which is + # when we look up the run attribute) we attempt to change the + # parent to one from another thread (which also happens to be + # dead). ``g_initialstub()`` should detect this and raise a + # greenlet error. + # + # EXCEPT: With the fix for #252, this is actually detected + # sooner, when setting the parent itself. Prior to that fix, + # the main greenlet from the background thread kept a valid + # value for ``run_info``, and appeared to be a valid parent + # until we actually started the greenlet. But now that it's + # cleared, this test is catching whether ``green_setparent`` + # can detect the dead thread. + # + # Further refactoring once again changes this back to a greenlet.error + # + # We need to wait for the cleanup to happen, but we're + # deliberately leaking a main greenlet here. + self.wait_for_pending_cleanups(initial_main_greenlets=self.main_greenlets_before_test + 1) + + class convoluted(RawGreenlet): + def __getattribute__(self, name): + if name == 'run': + self.parent = another[0] # pylint:disable=attribute-defined-outside-init + return RawGreenlet.__getattribute__(self, name) + g = convoluted(lambda: None) + with self.assertRaises(greenlet.error) as exc: + g.switch() + self.assertEqual(str(exc.exception), + "cannot switch to a different thread (which happens to have exited)") + del another[:] + + def test_unexpected_reparenting_thread_running(self): + # Like ``test_unexpected_reparenting``, except the background thread is + # actually still alive. + another = [] + switched_to_greenlet = threading.Event() + keep_main_alive = threading.Event() + def worker(): + g = RawGreenlet(lambda: None) + another.append(g) + g.switch() + switched_to_greenlet.set() + keep_main_alive.wait(10) + class convoluted(RawGreenlet): + def __getattribute__(self, name): + if name == 'run': + self.parent = another[0] # pylint:disable=attribute-defined-outside-init + return RawGreenlet.__getattribute__(self, name) + + t = threading.Thread(target=worker) + t.start() + + switched_to_greenlet.wait(10) + try: + g = convoluted(lambda: None) + + with self.assertRaises(greenlet.error) as exc: + g.switch() + self.assertIn("Cannot switch to a different thread", str(exc.exception)) + self.assertIn("Expected", str(exc.exception)) + self.assertIn("Current", str(exc.exception)) + finally: + keep_main_alive.set() + t.join(10) + # XXX: Should handle this automatically. + del another[:] + + def test_cannot_delete_parent(self): + worker = RawGreenlet(lambda: None) + self.assertIs(worker.parent, greenlet.getcurrent()) + + with self.assertRaises(AttributeError) as exc: + del worker.parent + self.assertEqual(str(exc.exception), "can't delete attribute") + + def test_cannot_delete_parent_of_main(self): + with self.assertRaises(AttributeError) as exc: + del greenlet.getcurrent().parent + self.assertEqual(str(exc.exception), "can't delete attribute") + + + def test_main_greenlet_parent_is_none(self): + # assuming we're in a main greenlet here. + self.assertIsNone(greenlet.getcurrent().parent) + + def test_set_parent_wrong_types(self): + def bg(): + # Go back to main. + greenlet.getcurrent().parent.switch() + + def check(glet): + for p in None, 1, self, "42": + with self.assertRaises(TypeError) as exc: + glet.parent = p + + self.assertEqual( + str(exc.exception), + "GreenletChecker: Expected any type of greenlet, not " + type(p).__name__) + + # First, not running + g = RawGreenlet(bg) + self.assertFalse(g) + check(g) + + # Then when running. + g.switch() + self.assertTrue(g) + check(g) + + # Let it finish + g.switch() + + + def test_trivial_cycle(self): + glet = RawGreenlet(lambda: None) + with self.assertRaises(ValueError) as exc: + glet.parent = glet + self.assertEqual(str(exc.exception), "cyclic parent chain") + + def test_trivial_cycle_main(self): + # This used to produce a ValueError, but we catch it earlier than that now. + with self.assertRaises(AttributeError) as exc: + greenlet.getcurrent().parent = greenlet.getcurrent() + self.assertEqual(str(exc.exception), "cannot set the parent of a main greenlet") + + def test_deeper_cycle(self): + g1 = RawGreenlet(lambda: None) + g2 = RawGreenlet(lambda: None) + g3 = RawGreenlet(lambda: None) + + g1.parent = g2 + g2.parent = g3 + with self.assertRaises(ValueError) as exc: + g3.parent = g1 + self.assertEqual(str(exc.exception), "cyclic parent chain") + + +class TestRepr(TestCase): + + def assertEndsWith(self, got, suffix): + self.assertTrue(got.endswith(suffix), (got, suffix)) + + def test_main_while_running(self): + r = repr(greenlet.getcurrent()) + self.assertEndsWith(r, " current active started main>") + + def test_main_in_background(self): + main = greenlet.getcurrent() + def run(): + return repr(main) + + g = RawGreenlet(run) + r = g.switch() + self.assertEndsWith(r, ' suspended active started main>') + + def test_initial(self): + r = repr(RawGreenlet()) + self.assertEndsWith(r, ' pending>') + + def test_main_from_other_thread(self): + main = greenlet.getcurrent() + + class T(threading.Thread): + original_main = thread_main = None + main_glet = None + def run(self): + self.original_main = repr(main) + self.main_glet = greenlet.getcurrent() + self.thread_main = repr(self.main_glet) + + t = T() + t.start() + t.join(10) + + self.assertEndsWith(t.original_main, ' suspended active started main>') + self.assertEndsWith(t.thread_main, ' current active started main>') + # give the machinery time to notice the death of the thread, + # and clean it up. Note that we don't use + # ``expect_greenlet_leak`` or wait_for_pending_cleanups, + # because at this point we know we have an extra greenlet + # still reachable. + for _ in range(3): + time.sleep(0.001) + + # In the past, main greenlets, even from dead threads, never + # really appear dead. We have fixed that, and we also report + # that the thread is dead in the repr. (Do this multiple times + # to make sure that we don't self-modify and forget our state + # in the C++ code). + for _ in range(3): + self.assertTrue(t.main_glet.dead) + r = repr(t.main_glet) + self.assertEndsWith(r, ' (thread exited) dead>') + + def test_dead(self): + g = RawGreenlet(lambda: None) + g.switch() + self.assertEndsWith(repr(g), ' dead>') + self.assertNotIn('suspended', repr(g)) + self.assertNotIn('started', repr(g)) + self.assertNotIn('active', repr(g)) + + def test_formatting_produces_native_str(self): + # https://github.com/python-greenlet/greenlet/issues/218 + # %s formatting on Python 2 was producing unicode, not str. + + g_dead = RawGreenlet(lambda: None) + g_not_started = RawGreenlet(lambda: None) + g_cur = greenlet.getcurrent() + + for g in g_dead, g_not_started, g_cur: + + self.assertIsInstance( + '%s' % (g,), + str + ) + self.assertIsInstance( + '%r' % (g,), + str, + ) + + +class TestMainGreenlet(TestCase): + # Tests some implementation details, and relies on some + # implementation details. + + def _check_current_is_main(self): + # implementation detail + assert 'main' in repr(greenlet.getcurrent()) + + t = type(greenlet.getcurrent()) + assert 'main' not in repr(t) + return t + + def test_main_greenlet_type_can_be_subclassed(self): + main_type = self._check_current_is_main() + subclass = type('subclass', (main_type,), {}) + self.assertIsNotNone(subclass) + + def test_main_greenlet_is_greenlet(self): + self._check_current_is_main() + self.assertIsInstance(greenlet.getcurrent(), RawGreenlet) + + + +class TestBrokenGreenlets(TestCase): + # Tests for things that used to, or still do, terminate the interpreter. + # This often means doing unsavory things. + + def test_failed_to_initialstub(self): + def func(): + raise AssertionError("Never get here") + + + g = greenlet._greenlet.UnswitchableGreenlet(func) + g.force_switch_error = True + + with self.assertRaisesRegex(SystemError, + "Failed to switch stacks into a greenlet for the first time."): + g.switch() + + def test_failed_to_switch_into_running(self): + runs = [] + def func(): + runs.append(1) + greenlet.getcurrent().parent.switch() + runs.append(2) + greenlet.getcurrent().parent.switch() + runs.append(3) # pragma: no cover + + g = greenlet._greenlet.UnswitchableGreenlet(func) + g.switch() + self.assertEqual(runs, [1]) + g.switch() + self.assertEqual(runs, [1, 2]) + g.force_switch_error = True + + with self.assertRaisesRegex(SystemError, + "Failed to switch stacks into a running greenlet."): + g.switch() + + # If we stopped here, we would fail the leakcheck, because we've left + # the ``inner_bootstrap()`` C frame and its descendents hanging around, + # which have a bunch of Python references. They'll never get cleaned up + # if we don't let the greenlet finish. + g.force_switch_error = False + g.switch() + self.assertEqual(runs, [1, 2, 3]) + + def test_failed_to_slp_switch_into_running(self): + ex = self.assertScriptRaises('fail_slp_switch.py') + + self.assertIn('fail_slp_switch is running', ex.output) + self.assertIn(ex.returncode, self.get_expected_returncodes_for_aborted_process()) + + def test_reentrant_switch_two_greenlets(self): + # Before we started capturing the arguments in g_switch_finish, this could crash. + output = self.run_script('fail_switch_two_greenlets.py') + self.assertIn('In g1_run', output) + self.assertIn('TRACE', output) + self.assertIn('LEAVE TRACE', output) + self.assertIn('Falling off end of main', output) + self.assertIn('Falling off end of g1_run', output) + self.assertIn('Falling off end of g2', output) + + def test_reentrant_switch_three_greenlets(self): + # On debug builds of greenlet, this used to crash with an assertion error; + # on non-debug versions, it ran fine (which it should not do!). + # Now it always crashes correctly with a TypeError + ex = self.assertScriptRaises('fail_switch_three_greenlets.py', exitcodes=(1,)) + + self.assertIn('TypeError', ex.output) + self.assertIn('positional arguments', ex.output) + + def test_reentrant_switch_three_greenlets2(self): + # This actually passed on debug and non-debug builds. It + # should probably have been triggering some debug assertions + # but it didn't. + # + # I think the fixes for the above test also kicked in here. + output = self.run_script('fail_switch_three_greenlets2.py') + self.assertIn( + "RESULTS: [('trace', 'switch'), " + "('trace', 'switch'), ('g2 arg', 'g2 from tracefunc'), " + "('trace', 'switch'), ('main g1', 'from g2_run'), ('trace', 'switch'), " + "('g1 arg', 'g1 from main'), ('trace', 'switch'), ('main g2', 'from g1_run'), " + "('trace', 'switch'), ('g1 from parent', 'g1 from main 2'), ('trace', 'switch'), " + "('main g1.2', 'g1 done'), ('trace', 'switch'), ('g2 from parent', ()), " + "('trace', 'switch'), ('main g2.2', 'g2 done')]", + output + ) + + def test_reentrant_switch_GreenletAlreadyStartedInPython(self): + output = self.run_script('fail_initialstub_already_started.py') + + self.assertIn( + "RESULTS: ['Begin C', 'Switch to b from B.__getattribute__ in C', " + "('Begin B', ()), '_B_run switching to main', ('main from c', 'From B'), " + "'B.__getattribute__ back from main in C', ('Begin A', (None,)), " + "('A dead?', True, 'B dead?', True, 'C dead?', False), " + "'C done', ('main from c.2', None)]", + output + ) + + def test_reentrant_switch_run_callable_has_del(self): + output = self.run_script('fail_clearing_run_switches.py') + self.assertIn( + "RESULTS [" + "('G.__getattribute__', 'run'), ('RunCallable', '__del__'), " + "('main: g.switch()', 'from RunCallable'), ('run_func', 'enter')" + "]", + output + ) + +if __name__ == '__main__': + unittest.main() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_greenlet_trash.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_greenlet_trash.py new file mode 100644 index 0000000000000000000000000000000000000000..c1fc1374c7dbffd162dc0a5c1787012d7bb904ce --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_greenlet_trash.py @@ -0,0 +1,187 @@ +# -*- coding: utf-8 -*- +""" +Tests for greenlets interacting with the CPython trash can API. + +The CPython trash can API is not designed to be re-entered from a +single thread. But this can happen using greenlets, if something +during the object deallocation process switches greenlets, and this second +greenlet then causes the trash can to get entered again. Here, we do this +very explicitly, but in other cases (like gevent) it could be arbitrarily more +complicated: for example, a weakref callback might try to acquire a lock that's +already held by another greenlet; that would allow a greenlet switch to occur. + +See https://github.com/gevent/gevent/issues/1909 + +This test is fragile and relies on details of the CPython +implementation (like most of the rest of this package): + + - We enter the trashcan and deferred deallocation after + ``_PyTrash_UNWIND_LEVEL`` calls. This constant, defined in + CPython's object.c, is generally 50. That's basically how many objects are required to + get us into the deferred deallocation situation. + + - The test fails by hitting an ``assert()`` in object.c; if the + build didn't enable assert, then we don't catch this. + + - If the test fails in that way, the interpreter crashes. +""" +from __future__ import print_function, absolute_import, division + +import unittest + + +class TestTrashCanReEnter(unittest.TestCase): + + def test_it(self): + try: + # pylint:disable-next=no-name-in-module + from greenlet._greenlet import get_tstate_trash_delete_nesting # pylint:disable=unused-import + except ImportError: + import sys + # Python 3.13 has not "trash delete nesting" anymore (but "delete later") + assert sys.version_info[:2] >= (3, 13) + self.skipTest("get_tstate_trash_delete_nesting is not available.") + + # Try several times to trigger it, because it isn't 100% + # reliable. + for _ in range(10): + self.check_it() + + def check_it(self): # pylint:disable=too-many-statements + import greenlet + from greenlet._greenlet import get_tstate_trash_delete_nesting # pylint:disable=no-name-in-module + main = greenlet.getcurrent() + + assert get_tstate_trash_delete_nesting() == 0 + + # We expect to be in deferred deallocation after this many + # deallocations have occurred. TODO: I wish we had a better way to do + # this --- that was before get_tstate_trash_delete_nesting; perhaps + # we can use that API to do better? + TRASH_UNWIND_LEVEL = 50 + # How many objects to put in a container; it's the container that + # queues objects for deferred deallocation. + OBJECTS_PER_CONTAINER = 500 + + class Dealloc: # define the class here because we alter class variables each time we run. + """ + An object with a ``__del__`` method. When it starts getting deallocated + from a deferred trash can run, it switches greenlets, allocates more objects + which then also go in the trash can. If we don't save state appropriately, + nesting gets out of order and we can crash the interpreter. + """ + + #: Has our deallocation actually run and switched greenlets? + #: When it does, this will be set to the current greenlet. This should + #: be happening in the main greenlet, so we check that down below. + SPAWNED = False + + #: Has the background greenlet run? + BG_RAN = False + + BG_GLET = None + + #: How many of these things have ever been allocated. + CREATED = 0 + + #: How many of these things have ever been deallocated. + DESTROYED = 0 + + #: How many were destroyed not in the main greenlet. There should always + #: be some. + #: If the test is broken or things change in the trashcan implementation, + #: this may not be correct. + DESTROYED_BG = 0 + + def __init__(self, sequence_number): + """ + :param sequence_number: The ordinal of this object during + one particular creation run. This is used to detect (guess, really) + when we have entered the trash can's deferred deallocation. + """ + self.i = sequence_number + Dealloc.CREATED += 1 + + def __del__(self): + if self.i == TRASH_UNWIND_LEVEL and not self.SPAWNED: + Dealloc.SPAWNED = greenlet.getcurrent() + other = Dealloc.BG_GLET = greenlet.greenlet(background_greenlet) + x = other.switch() + assert x == 42 + # It's important that we don't switch back to the greenlet, + # we leave it hanging there in an incomplete state. But we don't let it + # get collected, either. If we complete it now, while we're still + # in the scope of the initial trash can, things work out and we + # don't see the problem. We need this greenlet to complete + # at some point in the future, after we've exited this trash can invocation. + del other + elif self.i == 40 and greenlet.getcurrent() is not main: + Dealloc.BG_RAN = True + try: + main.switch(42) + except greenlet.GreenletExit as ex: + # We expect this; all references to us go away + # while we're still running, and we need to finish deleting + # ourself. + Dealloc.BG_RAN = type(ex) + del ex + + # Record the fact that we're dead last of all. This ensures that + # we actually get returned too. + Dealloc.DESTROYED += 1 + if greenlet.getcurrent() is not main: + Dealloc.DESTROYED_BG += 1 + + + def background_greenlet(): + # We direct through a second function, instead of + # directly calling ``make_some()``, so that we have complete + # control over when these objects are destroyed: we need them + # to be destroyed in the context of the background greenlet + t = make_some() + del t # Triggere deletion. + + def make_some(): + t = () + i = OBJECTS_PER_CONTAINER + while i: + # Nest the tuples; it's the recursion that gets us + # into trash. + t = (Dealloc(i), t) + i -= 1 + return t + + + some = make_some() + self.assertEqual(Dealloc.CREATED, OBJECTS_PER_CONTAINER) + self.assertEqual(Dealloc.DESTROYED, 0) + + # If we're going to crash, it should be on the following line. + # We only crash if ``assert()`` is enabled, of course. + del some + + # For non-debug builds of CPython, we won't crash. The best we can do is check + # the nesting level explicitly. + self.assertEqual(0, get_tstate_trash_delete_nesting()) + + # Discard this, raising GreenletExit into where it is waiting. + Dealloc.BG_GLET = None + # The same nesting level maintains. + self.assertEqual(0, get_tstate_trash_delete_nesting()) + + # We definitely cleaned some up in the background + self.assertGreater(Dealloc.DESTROYED_BG, 0) + + # Make sure all the cleanups happened. + self.assertIs(Dealloc.SPAWNED, main) + self.assertTrue(Dealloc.BG_RAN) + self.assertEqual(Dealloc.BG_RAN, greenlet.GreenletExit) + self.assertEqual(Dealloc.CREATED, Dealloc.DESTROYED ) + self.assertEqual(Dealloc.CREATED, OBJECTS_PER_CONTAINER * 2) + + import gc + gc.collect() + + +if __name__ == '__main__': + unittest.main() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_leaks.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_leaks.py new file mode 100644 index 0000000000000000000000000000000000000000..e09da7d8c7e4e4198b91c46225aed4af441ad8f5 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_leaks.py @@ -0,0 +1,457 @@ +# -*- coding: utf-8 -*- +""" +Testing scenarios that may have leaked. +""" +from __future__ import print_function, absolute_import, division + +import sys +import gc + +import time +import weakref +import threading + + +import greenlet +from . import TestCase +from . import PY314 +from . import RUNNING_ON_FREETHREAD_BUILD +from .leakcheck import fails_leakcheck +from .leakcheck import ignores_leakcheck +from .leakcheck import RUNNING_ON_MANYLINUX + + +# pylint:disable=protected-access + +assert greenlet.GREENLET_USE_GC # Option to disable this was removed in 1.0 + +class HasFinalizerTracksInstances(object): + EXTANT_INSTANCES = set() + def __init__(self, msg): + self.msg = sys.intern(msg) + self.EXTANT_INSTANCES.add(id(self)) + def __del__(self): + self.EXTANT_INSTANCES.remove(id(self)) + def __repr__(self): + return "" % ( + id(self), self.msg + ) + @classmethod + def reset(cls): + cls.EXTANT_INSTANCES.clear() + + +def fails_leakcheck_except_on_free_thraded(func): + if RUNNING_ON_FREETHREAD_BUILD: + # These all seem to pass on free threading because + # of the changes to the garbage collector + return func + return fails_leakcheck(func) + + +class TestLeaks(TestCase): + + def test_arg_refs(self): + args = ('a', 'b', 'c') + refcount_before = sys.getrefcount(args) + # pylint:disable=unnecessary-lambda + g = greenlet.greenlet( + lambda *args: greenlet.getcurrent().parent.switch(*args)) + for _ in range(100): + g.switch(*args) + self.assertEqual(sys.getrefcount(args), refcount_before) + + def test_kwarg_refs(self): + kwargs = {} + self.assertEqual(sys.getrefcount(kwargs), 2 if not PY314 else 1) + # pylint:disable=unnecessary-lambda + g = greenlet.greenlet( + lambda **gkwargs: greenlet.getcurrent().parent.switch(**gkwargs)) + for _ in range(100): + g.switch(**kwargs) + # Python 3.14 elides reference counting operations + # in some cases. See https://github.com/python/cpython/pull/130708 + self.assertEqual(sys.getrefcount(kwargs), 2 if not PY314 else 1) + + + @staticmethod + def __recycle_threads(): + # By introducing a thread that does sleep we allow other threads, + # that have triggered their __block condition, but did not have a + # chance to deallocate their thread state yet, to finally do so. + # The way it works is by requiring a GIL switch (different thread), + # which does a GIL release (sleep), which might do a GIL switch + # to finished threads and allow them to clean up. + def worker(): + time.sleep(0.001) + t = threading.Thread(target=worker) + t.start() + time.sleep(0.001) + t.join(10) + + def test_threaded_leak(self): + gg = [] + def worker(): + # only main greenlet present + gg.append(weakref.ref(greenlet.getcurrent())) + for _ in range(2): + t = threading.Thread(target=worker) + t.start() + t.join(10) + del t + greenlet.getcurrent() # update ts_current + self.__recycle_threads() + greenlet.getcurrent() # update ts_current + gc.collect() + greenlet.getcurrent() # update ts_current + for g in gg: + self.assertIsNone(g()) + + def test_threaded_adv_leak(self): + gg = [] + def worker(): + # main and additional *finished* greenlets + ll = greenlet.getcurrent().ll = [] + def additional(): + ll.append(greenlet.getcurrent()) + for _ in range(2): + greenlet.greenlet(additional).switch() + gg.append(weakref.ref(greenlet.getcurrent())) + for _ in range(2): + t = threading.Thread(target=worker) + t.start() + t.join(10) + del t + greenlet.getcurrent() # update ts_current + self.__recycle_threads() + greenlet.getcurrent() # update ts_current + gc.collect() + greenlet.getcurrent() # update ts_current + for g in gg: + self.assertIsNone(g()) + + def assertClocksUsed(self): + used = greenlet._greenlet.get_clocks_used_doing_optional_cleanup() + self.assertGreaterEqual(used, 0) + # we don't lose the value + greenlet._greenlet.enable_optional_cleanup(True) + used2 = greenlet._greenlet.get_clocks_used_doing_optional_cleanup() + self.assertEqual(used, used2) + self.assertGreater(greenlet._greenlet.CLOCKS_PER_SEC, 1) + + def _check_issue251(self, + manually_collect_background=True, + explicit_reference_to_switch=False): + # See https://github.com/python-greenlet/greenlet/issues/251 + # Killing a greenlet (probably not the main one) + # in one thread from another thread would + # result in leaking a list (the ts_delkey list). + # We no longer use lists to hold that stuff, though. + + # For the test to be valid, even empty lists have to be tracked by the + # GC + + assert gc.is_tracked([]) + HasFinalizerTracksInstances.reset() + greenlet.getcurrent() + greenlets_before = self.count_objects(greenlet.greenlet, exact_kind=False) + + background_glet_running = threading.Event() + background_glet_killed = threading.Event() + background_greenlets = [] + + # XXX: Switching this to a greenlet subclass that overrides + # run results in all callers failing the leaktest; that + # greenlet instance is leaked. There's a bound method for + # run() living on the stack of the greenlet in g_initialstub, + # and since we don't manually switch back to the background + # greenlet to let it "fall off the end" and exit the + # g_initialstub function, it never gets cleaned up. Making the + # garbage collector aware of this bound method (making it an + # attribute of the greenlet structure and traversing into it) + # doesn't help, for some reason. + def background_greenlet(): + # Throw control back to the main greenlet. + jd = HasFinalizerTracksInstances("DELETING STACK OBJECT") + greenlet._greenlet.set_thread_local( + 'test_leaks_key', + HasFinalizerTracksInstances("DELETING THREAD STATE")) + # Explicitly keeping 'switch' in a local variable + # breaks this test in all versions + if explicit_reference_to_switch: + s = greenlet.getcurrent().parent.switch + s([jd]) + else: + greenlet.getcurrent().parent.switch([jd]) + + bg_main_wrefs = [] + + def background_thread(): + glet = greenlet.greenlet(background_greenlet) + bg_main_wrefs.append(weakref.ref(glet.parent)) + + background_greenlets.append(glet) + glet.switch() # Be sure it's active. + # Control is ours again. + del glet # Delete one reference from the thread it runs in. + background_glet_running.set() + background_glet_killed.wait(10) + + # To trigger the background collection of the dead + # greenlet, thus clearing out the contents of the list, we + # need to run some APIs. See issue 252. + if manually_collect_background: + greenlet.getcurrent() + + + t = threading.Thread(target=background_thread) + t.start() + background_glet_running.wait(10) + greenlet.getcurrent() + lists_before = self.count_objects(list, exact_kind=True) + + assert len(background_greenlets) == 1 + self.assertFalse(background_greenlets[0].dead) + # Delete the last reference to the background greenlet + # from a different thread. This puts it in the background thread's + # ts_delkey list. + del background_greenlets[:] + background_glet_killed.set() + + # Now wait for the background thread to die. + t.join(10) + del t + # As part of the fix for 252, we need to cycle the ceval.c + # interpreter loop to be sure it has had a chance to process + # the pending call. + self.wait_for_pending_cleanups() + + lists_after = self.count_objects(list, exact_kind=True) + greenlets_after = self.count_objects(greenlet.greenlet, exact_kind=False) + + # On 2.7, we observe that lists_after is smaller than + # lists_before. No idea what lists got cleaned up. All the + # Python 3 versions match exactly. + self.assertLessEqual(lists_after, lists_before) + # On versions after 3.6, we've successfully cleaned up the + # greenlet references thanks to the internal "vectorcall" + # protocol; prior to that, there is a reference path through + # the ``greenlet.switch`` method still on the stack that we + # can't reach to clean up. The C code goes through terrific + # lengths to clean that up. + if not explicit_reference_to_switch \ + and greenlet._greenlet.get_clocks_used_doing_optional_cleanup() is not None: + # If cleanup was disabled, though, we may not find it. + self.assertEqual(greenlets_after, greenlets_before) + if manually_collect_background: + # TODO: Figure out how to make this work! + # The one on the stack is still leaking somehow + # in the non-manually-collect state. + self.assertEqual(HasFinalizerTracksInstances.EXTANT_INSTANCES, set()) + else: + # The explicit reference prevents us from collecting it + # and it isn't always found by the GC either for some + # reason. The entire frame is leaked somehow, on some + # platforms (e.g., MacPorts builds of Python (all + # versions!)), but not on other platforms (the linux and + # windows builds on GitHub actions and Appveyor). So we'd + # like to write a test that proves that the main greenlet + # sticks around, and we can on my machine (macOS 11.6, + # MacPorts builds of everything) but we can't write that + # same test on other platforms. However, hopefully iteration + # done by leakcheck will find it. + pass + + if greenlet._greenlet.get_clocks_used_doing_optional_cleanup() is not None: + self.assertClocksUsed() + + def test_issue251_killing_cross_thread_leaks_list(self): + self._check_issue251() + + def test_issue251_with_cleanup_disabled(self): + greenlet._greenlet.enable_optional_cleanup(False) + try: + self._check_issue251() + finally: + greenlet._greenlet.enable_optional_cleanup(True) + + @fails_leakcheck_except_on_free_thraded + def test_issue251_issue252_need_to_collect_in_background(self): + # Between greenlet 1.1.2 and the next version, this was still + # failing because the leak of the list still exists when we + # don't call a greenlet API before exiting the thread. The + # proximate cause is that neither of the two greenlets from + # the background thread are actually being destroyed, even + # though the GC is in fact visiting both objects. It's not + # clear where that leak is? For some reason the thread-local + # dict holding it isn't being cleaned up. + # + # The leak, I think, is in the CPYthon internal function that + # calls into green_switch(). The argument tuple is still on + # the C stack somewhere and can't be reached? That doesn't + # make sense, because the tuple should be collectable when + # this object goes away. + # + # Note that this test sometimes spuriously passes on Linux, + # for some reason, but I've never seen it pass on macOS. + self._check_issue251(manually_collect_background=False) + + @fails_leakcheck_except_on_free_thraded + def test_issue251_issue252_need_to_collect_in_background_cleanup_disabled(self): + self.expect_greenlet_leak = True + greenlet._greenlet.enable_optional_cleanup(False) + try: + self._check_issue251(manually_collect_background=False) + finally: + greenlet._greenlet.enable_optional_cleanup(True) + + @fails_leakcheck_except_on_free_thraded + def test_issue251_issue252_explicit_reference_not_collectable(self): + self._check_issue251( + manually_collect_background=False, + explicit_reference_to_switch=True) + + UNTRACK_ATTEMPTS = 100 + + def _only_test_some_versions(self): + # We're only looking for this problem specifically on 3.11, + # and this set of tests is relatively fragile, depending on + # OS and memory management details. So we want to run it on 3.11+ + # (obviously) but not every older 3.x version in order to reduce + # false negatives. At the moment, those false results seem to have + # resolved, so we are actually running this on 3.8+ + assert sys.version_info[0] >= 3 + if sys.version_info[:2] < (3, 8): + self.skipTest('Only observed on 3.11') + if RUNNING_ON_MANYLINUX: + self.skipTest("Slow and not worth repeating here") + + @ignores_leakcheck + # Because we're just trying to track raw memory, not objects, and running + # the leakcheck makes an already slow test slower. + def test_untracked_memory_doesnt_increase(self): + # See https://github.com/gevent/gevent/issues/1924 + # and https://github.com/python-greenlet/greenlet/issues/328 + self._only_test_some_versions() + def f(): + return 1 + + ITER = 10000 + def run_it(): + for _ in range(ITER): + greenlet.greenlet(f).switch() + + # Establish baseline + for _ in range(3): + run_it() + + # uss: (Linux, macOS, Windows): aka "Unique Set Size", this is + # the memory which is unique to a process and which would be + # freed if the process was terminated right now. + uss_before = self.get_process_uss() + + for count in range(self.UNTRACK_ATTEMPTS): + uss_before = max(uss_before, self.get_process_uss()) + run_it() + + uss_after = self.get_process_uss() + if uss_after <= uss_before and count > 1: + break + + self.assertLessEqual(uss_after, uss_before) + + def _check_untracked_memory_thread(self, deallocate_in_thread=True): + self._only_test_some_versions() + # Like the above test, but what if there are a bunch of + # unfinished greenlets in a thread that dies? + # Does it matter if we deallocate in the thread or not? + EXIT_COUNT = [0] + + def f(): + try: + greenlet.getcurrent().parent.switch() + except greenlet.GreenletExit: + EXIT_COUNT[0] += 1 + raise + return 1 + + ITER = 10000 + def run_it(): + glets = [] + for _ in range(ITER): + # Greenlet starts, switches back to us. + # We keep a strong reference to the greenlet though so it doesn't + # get a GreenletExit exception. + g = greenlet.greenlet(f) + glets.append(g) + g.switch() + + return glets + + test = self + + class ThreadFunc: + uss_before = uss_after = 0 + glets = () + ITER = 2 + def __call__(self): + self.uss_before = test.get_process_uss() + + for _ in range(self.ITER): + self.glets += tuple(run_it()) + + for g in self.glets: + test.assertIn('suspended active', str(g)) + # Drop them. + if deallocate_in_thread: + self.glets = () + self.uss_after = test.get_process_uss() + + # Establish baseline + uss_before = uss_after = None + for count in range(self.UNTRACK_ATTEMPTS): + EXIT_COUNT[0] = 0 + thread_func = ThreadFunc() + t = threading.Thread(target=thread_func) + t.start() + t.join(30) + self.assertFalse(t.is_alive()) + + if uss_before is None: + uss_before = thread_func.uss_before + + uss_before = max(uss_before, thread_func.uss_before) + if deallocate_in_thread: + self.assertEqual(thread_func.glets, ()) + self.assertEqual(EXIT_COUNT[0], ITER * thread_func.ITER) + + del thread_func # Deallocate the greenlets; but this won't raise into them + del t + if not deallocate_in_thread: + self.assertEqual(EXIT_COUNT[0], 0) + if deallocate_in_thread: + self.wait_for_pending_cleanups() + + uss_after = self.get_process_uss() + # See if we achieve a non-growth state at some point. Break when we do. + if uss_after <= uss_before and count > 1: + break + + self.wait_for_pending_cleanups() + uss_after = self.get_process_uss() + self.assertLessEqual(uss_after, uss_before, "after attempts %d" % (count,)) + + @ignores_leakcheck + # Because we're just trying to track raw memory, not objects, and running + # the leakcheck makes an already slow test slower. + def test_untracked_memory_doesnt_increase_unfinished_thread_dealloc_in_thread(self): + self._check_untracked_memory_thread(deallocate_in_thread=True) + + @ignores_leakcheck + # Because the main greenlets from the background threads do not exit in a timely fashion, + # we fail the object-based leakchecks. + def test_untracked_memory_doesnt_increase_unfinished_thread_dealloc_in_main(self): + self._check_untracked_memory_thread(deallocate_in_thread=False) + +if __name__ == '__main__': + __import__('unittest').main() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_stack_saved.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_stack_saved.py new file mode 100644 index 0000000000000000000000000000000000000000..b362bf95a2d476b4fee2ff49cd7a9c4b53362fb5 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_stack_saved.py @@ -0,0 +1,19 @@ +import greenlet +from . import TestCase + + +class Test(TestCase): + + def test_stack_saved(self): + main = greenlet.getcurrent() + self.assertEqual(main._stack_saved, 0) + + def func(): + main.switch(main._stack_saved) + + g = greenlet.greenlet(func) + x = g.switch() + self.assertGreater(x, 0) + self.assertGreater(g._stack_saved, 0) + g.switch() + self.assertEqual(g._stack_saved, 0) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_throw.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_throw.py new file mode 100644 index 0000000000000000000000000000000000000000..f4f9a140293d5a09b4503687d835c8e5cc9ad30d --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_throw.py @@ -0,0 +1,128 @@ +import sys + + +from greenlet import greenlet +from . import TestCase + +def switch(*args): + return greenlet.getcurrent().parent.switch(*args) + + +class ThrowTests(TestCase): + def test_class(self): + def f(): + try: + switch("ok") + except RuntimeError: + switch("ok") + return + switch("fail") + g = greenlet(f) + res = g.switch() + self.assertEqual(res, "ok") + res = g.throw(RuntimeError) + self.assertEqual(res, "ok") + + def test_val(self): + def f(): + try: + switch("ok") + except RuntimeError: + val = sys.exc_info()[1] + if str(val) == "ciao": + switch("ok") + return + switch("fail") + + g = greenlet(f) + res = g.switch() + self.assertEqual(res, "ok") + res = g.throw(RuntimeError("ciao")) + self.assertEqual(res, "ok") + + g = greenlet(f) + res = g.switch() + self.assertEqual(res, "ok") + res = g.throw(RuntimeError, "ciao") + self.assertEqual(res, "ok") + + def test_kill(self): + def f(): + switch("ok") + switch("fail") + g = greenlet(f) + res = g.switch() + self.assertEqual(res, "ok") + res = g.throw() + self.assertTrue(isinstance(res, greenlet.GreenletExit)) + self.assertTrue(g.dead) + res = g.throw() # immediately eaten by the already-dead greenlet + self.assertTrue(isinstance(res, greenlet.GreenletExit)) + + def test_throw_goes_to_original_parent(self): + main = greenlet.getcurrent() + + def f1(): + try: + main.switch("f1 ready to catch") + except IndexError: + return "caught" + return "normal exit" + + def f2(): + main.switch("from f2") + + g1 = greenlet(f1) + g2 = greenlet(f2, parent=g1) + with self.assertRaises(IndexError): + g2.throw(IndexError) + self.assertTrue(g2.dead) + self.assertTrue(g1.dead) + + g1 = greenlet(f1) + g2 = greenlet(f2, parent=g1) + res = g1.switch() + self.assertEqual(res, "f1 ready to catch") + res = g2.throw(IndexError) + self.assertEqual(res, "caught") + self.assertTrue(g2.dead) + self.assertTrue(g1.dead) + + g1 = greenlet(f1) + g2 = greenlet(f2, parent=g1) + res = g1.switch() + self.assertEqual(res, "f1 ready to catch") + res = g2.switch() + self.assertEqual(res, "from f2") + res = g2.throw(IndexError) + self.assertEqual(res, "caught") + self.assertTrue(g2.dead) + self.assertTrue(g1.dead) + + def test_non_traceback_param(self): + with self.assertRaises(TypeError) as exc: + greenlet.getcurrent().throw( + Exception, + Exception(), + self + ) + self.assertEqual(str(exc.exception), + "throw() third argument must be a traceback object") + + def test_instance_of_wrong_type(self): + with self.assertRaises(TypeError) as exc: + greenlet.getcurrent().throw( + Exception(), + BaseException() + ) + + self.assertEqual(str(exc.exception), + "instance exception may not have a separate value") + + def test_not_throwable(self): + with self.assertRaises(TypeError) as exc: + greenlet.getcurrent().throw( + "abc" + ) + self.assertEqual(str(exc.exception), + "exceptions must be classes, or instances, not str") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_tracing.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_tracing.py new file mode 100644 index 0000000000000000000000000000000000000000..235fbcd63e8540199be4bf492c472657c11503e9 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_tracing.py @@ -0,0 +1,299 @@ +from __future__ import print_function +import sys +import sysconfig +import greenlet +import unittest + +from . import TestCase +from . import PY312 + +# https://discuss.python.org/t/cpython-3-12-greenlet-and-tracing-profiling-how-to-not-crash-and-get-correct-results/33144/2 +# When build variables are available, OPT is the best way of detecting +# the build with assertions enabled. Otherwise, fallback to detecting PyDEBUG +# build. +ASSERTION_BUILD_PY312 = ( + PY312 and ( + "-DNDEBUG" not in sysconfig.get_config_var("OPT").split() + if sysconfig.get_config_var("OPT") is not None + else hasattr(sys, 'gettotalrefcount') + ), + "Broken on assertion-enabled builds of Python 3.12" +) + +class SomeError(Exception): + pass + +class GreenletTracer(object): + oldtrace = None + + def __init__(self, error_on_trace=False): + self.actions = [] + self.error_on_trace = error_on_trace + + def __call__(self, *args): + self.actions.append(args) + if self.error_on_trace: + raise SomeError + + def __enter__(self): + self.oldtrace = greenlet.settrace(self) + return self.actions + + def __exit__(self, *args): + greenlet.settrace(self.oldtrace) + + +class TestGreenletTracing(TestCase): + """ + Tests of ``greenlet.settrace()`` + """ + + def test_a_greenlet_tracing(self): + main = greenlet.getcurrent() + def dummy(): + pass + def dummyexc(): + raise SomeError() + + with GreenletTracer() as actions: + g1 = greenlet.greenlet(dummy) + g1.switch() + g2 = greenlet.greenlet(dummyexc) + self.assertRaises(SomeError, g2.switch) + + self.assertEqual(actions, [ + ('switch', (main, g1)), + ('switch', (g1, main)), + ('switch', (main, g2)), + ('throw', (g2, main)), + ]) + + def test_b_exception_disables_tracing(self): + main = greenlet.getcurrent() + def dummy(): + main.switch() + g = greenlet.greenlet(dummy) + g.switch() + with GreenletTracer(error_on_trace=True) as actions: + self.assertRaises(SomeError, g.switch) + self.assertEqual(greenlet.gettrace(), None) + + self.assertEqual(actions, [ + ('switch', (main, g)), + ]) + + def test_set_same_tracer_twice(self): + # https://github.com/python-greenlet/greenlet/issues/332 + # Our logic in asserting that the tracefunction should + # gain a reference was incorrect if the same tracefunction was set + # twice. + tracer = GreenletTracer() + with tracer: + greenlet.settrace(tracer) + + +class PythonTracer(object): + oldtrace = None + + def __init__(self): + self.actions = [] + + def __call__(self, frame, event, arg): + # Record the co_name so we have an idea what function we're in. + self.actions.append((event, frame.f_code.co_name)) + + def __enter__(self): + self.oldtrace = sys.setprofile(self) + return self.actions + + def __exit__(self, *args): + sys.setprofile(self.oldtrace) + +def tpt_callback(): + return 42 + +class TestPythonTracing(TestCase): + """ + Tests of the interaction of ``sys.settrace()`` + with greenlet facilities. + + NOTE: Most of this is probably CPython specific. + """ + + maxDiff = None + + def test_trace_events_trivial(self): + with PythonTracer() as actions: + tpt_callback() + # If we use the sys.settrace instead of setprofile, we get + # this: + + # self.assertEqual(actions, [ + # ('call', 'tpt_callback'), + # ('call', '__exit__'), + # ]) + + self.assertEqual(actions, [ + ('return', '__enter__'), + ('call', 'tpt_callback'), + ('return', 'tpt_callback'), + ('call', '__exit__'), + ('c_call', '__exit__'), + ]) + + def _trace_switch(self, glet): + with PythonTracer() as actions: + glet.switch() + return actions + + def _check_trace_events_func_already_set(self, glet): + actions = self._trace_switch(glet) + self.assertEqual(actions, [ + ('return', '__enter__'), + ('c_call', '_trace_switch'), + ('call', 'run'), + ('call', 'tpt_callback'), + ('return', 'tpt_callback'), + ('return', 'run'), + ('c_return', '_trace_switch'), + ('call', '__exit__'), + ('c_call', '__exit__'), + ]) + + def test_trace_events_into_greenlet_func_already_set(self): + def run(): + return tpt_callback() + + self._check_trace_events_func_already_set(greenlet.greenlet(run)) + + def test_trace_events_into_greenlet_subclass_already_set(self): + class X(greenlet.greenlet): + def run(self): + return tpt_callback() + self._check_trace_events_func_already_set(X()) + + def _check_trace_events_from_greenlet_sets_profiler(self, g, tracer): + g.switch() + tpt_callback() + tracer.__exit__() + self.assertEqual(tracer.actions, [ + ('return', '__enter__'), + ('call', 'tpt_callback'), + ('return', 'tpt_callback'), + ('return', 'run'), + ('call', 'tpt_callback'), + ('return', 'tpt_callback'), + ('call', '__exit__'), + ('c_call', '__exit__'), + ]) + + + def test_trace_events_from_greenlet_func_sets_profiler(self): + tracer = PythonTracer() + def run(): + tracer.__enter__() + return tpt_callback() + + self._check_trace_events_from_greenlet_sets_profiler(greenlet.greenlet(run), + tracer) + + def test_trace_events_from_greenlet_subclass_sets_profiler(self): + tracer = PythonTracer() + class X(greenlet.greenlet): + def run(self): + tracer.__enter__() + return tpt_callback() + + self._check_trace_events_from_greenlet_sets_profiler(X(), tracer) + + @unittest.skipIf(*ASSERTION_BUILD_PY312) + def test_trace_events_multiple_greenlets_switching(self): + tracer = PythonTracer() + + g1 = None + g2 = None + + def g1_run(): + tracer.__enter__() + tpt_callback() + g2.switch() + tpt_callback() + return 42 + + def g2_run(): + tpt_callback() + tracer.__exit__() + tpt_callback() + g1.switch() + + g1 = greenlet.greenlet(g1_run) + g2 = greenlet.greenlet(g2_run) + + x = g1.switch() + self.assertEqual(x, 42) + tpt_callback() # ensure not in the trace + self.assertEqual(tracer.actions, [ + ('return', '__enter__'), + ('call', 'tpt_callback'), + ('return', 'tpt_callback'), + ('c_call', 'g1_run'), + ('call', 'g2_run'), + ('call', 'tpt_callback'), + ('return', 'tpt_callback'), + ('call', '__exit__'), + ('c_call', '__exit__'), + ]) + + @unittest.skipIf(*ASSERTION_BUILD_PY312) + def test_trace_events_multiple_greenlets_switching_siblings(self): + # Like the first version, but get both greenlets running first + # as "siblings" and then establish the tracing. + tracer = PythonTracer() + + g1 = None + g2 = None + + def g1_run(): + greenlet.getcurrent().parent.switch() + tracer.__enter__() + tpt_callback() + g2.switch() + tpt_callback() + return 42 + + def g2_run(): + greenlet.getcurrent().parent.switch() + + tpt_callback() + tracer.__exit__() + tpt_callback() + g1.switch() + + g1 = greenlet.greenlet(g1_run) + g2 = greenlet.greenlet(g2_run) + + # Start g1 + g1.switch() + # And it immediately returns control to us. + # Start g2 + g2.switch() + # Which also returns. Now kick of the real part of the + # test. + x = g1.switch() + self.assertEqual(x, 42) + + tpt_callback() # ensure not in the trace + self.assertEqual(tracer.actions, [ + ('return', '__enter__'), + ('call', 'tpt_callback'), + ('return', 'tpt_callback'), + ('c_call', 'g1_run'), + ('call', 'tpt_callback'), + ('return', 'tpt_callback'), + ('call', '__exit__'), + ('c_call', '__exit__'), + ]) + + +if __name__ == '__main__': + unittest.main() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_version.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_version.py new file mode 100644 index 0000000000000000000000000000000000000000..96c17cf1700fd501df2113713307251fff8d095c --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_version.py @@ -0,0 +1,41 @@ +#! /usr/bin/env python +from __future__ import absolute_import +from __future__ import print_function + +import sys +import os +from unittest import TestCase as NonLeakingTestCase + +import greenlet + +# No reason to run this multiple times under leakchecks, +# it doesn't do anything. +class VersionTests(NonLeakingTestCase): + def test_version(self): + def find_dominating_file(name): + if os.path.exists(name): + return name + + tried = [] + here = os.path.abspath(os.path.dirname(__file__)) + for i in range(10): + up = ['..'] * i + path = [here] + up + [name] + fname = os.path.join(*path) + fname = os.path.abspath(fname) + tried.append(fname) + if os.path.exists(fname): + return fname + raise AssertionError("Could not find file " + name + "; checked " + str(tried)) + + try: + setup_py = find_dominating_file('setup.py') + except AssertionError as e: + self.skipTest("Unable to find setup.py; must be out of tree. " + str(e)) + + + invoke_setup = "%s %s --version" % (sys.executable, setup_py) + with os.popen(invoke_setup) as f: + sversion = f.read().strip() + + self.assertEqual(sversion, greenlet.__version__) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_weakref.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_weakref.py new file mode 100644 index 0000000000000000000000000000000000000000..05a38a7f103c082289cd65f95ace5695bc3a8842 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/greenlet/tests/test_weakref.py @@ -0,0 +1,35 @@ +import gc +import weakref + + +import greenlet +from . import TestCase + +class WeakRefTests(TestCase): + def test_dead_weakref(self): + def _dead_greenlet(): + g = greenlet.greenlet(lambda: None) + g.switch() + return g + o = weakref.ref(_dead_greenlet()) + gc.collect() + self.assertEqual(o(), None) + + def test_inactive_weakref(self): + o = weakref.ref(greenlet.greenlet()) + gc.collect() + self.assertEqual(o(), None) + + def test_dealloc_weakref(self): + seen = [] + def worker(): + try: + greenlet.getcurrent().parent.switch() + finally: + seen.append(g()) + g = greenlet.greenlet(worker) + g.switch() + g2 = greenlet.greenlet(lambda: None, g) + g = weakref.ref(g2) + g2 = None + self.assertEqual(seen, [None]) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ba0e582e4bfcd697d6d267ddd0e72a2dc6667574 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/__pycache__/errors.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/__pycache__/errors.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ecd07698ac77d467e6b663284b40615a80ce54c5 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/__pycache__/errors.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/__pycache__/grid_file.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/__pycache__/grid_file.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..af153faf206e22316b8071097ac0652c7925cb0c Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/__pycache__/grid_file.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/__pycache__/grid_file_shared.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/__pycache__/grid_file_shared.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..43db232c46b1eed9a5b4dca9e73dcd6534a2c614 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/__pycache__/grid_file_shared.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/asynchronous/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/asynchronous/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..0826145b11c2cd54f0a4caaa603303a187fec4d3 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/asynchronous/__init__.py @@ -0,0 +1,42 @@ +# Copyright 2009-present MongoDB, Inc. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""GridFS is a specification for storing large objects in Mongo. + +The :mod:`gridfs` package is an implementation of GridFS on top of +:mod:`pymongo`, exposing a file-like interface. + +.. seealso:: The MongoDB documentation on `gridfs `_. +""" +from __future__ import annotations + +from gridfs.asynchronous.grid_file import ( + AsyncGridFS, + AsyncGridFSBucket, + AsyncGridIn, + AsyncGridOut, + AsyncGridOutCursor, +) +from gridfs.errors import NoFile +from gridfs.grid_file_shared import DEFAULT_CHUNK_SIZE + +__all__ = [ + "AsyncGridFS", + "AsyncGridFSBucket", + "NoFile", + "DEFAULT_CHUNK_SIZE", + "AsyncGridIn", + "AsyncGridOut", + "AsyncGridOutCursor", +] diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/asynchronous/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/asynchronous/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..0667bf5550ad0ded62fc03208c281cd4ccce9c80 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/asynchronous/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/asynchronous/__pycache__/grid_file.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/asynchronous/__pycache__/grid_file.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..5c28dce6b9f1228b0aea027f07c447ac64eff04a Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/asynchronous/__pycache__/grid_file.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/asynchronous/grid_file.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/asynchronous/grid_file.py new file mode 100644 index 0000000000000000000000000000000000000000..3c7d4ef0e9e7d28baf6dd2442c0349d27d429a98 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/asynchronous/grid_file.py @@ -0,0 +1,2008 @@ +# Copyright 2009-present MongoDB, Inc. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Tools for representing files stored in GridFS.""" +from __future__ import annotations + +import datetime +import inspect +import io +import math +from collections import abc +from typing import Any, Iterable, Mapping, NoReturn, Optional, cast + +from bson.int64 import Int64 +from bson.objectid import ObjectId +from gridfs.errors import CorruptGridFile, FileExists, NoFile +from gridfs.grid_file_shared import ( + _C_INDEX, + _CHUNK_OVERHEAD, + _F_INDEX, + _SEEK_CUR, + _SEEK_END, + _SEEK_SET, + _UPLOAD_BUFFER_CHUNKS, + _UPLOAD_BUFFER_SIZE, + DEFAULT_CHUNK_SIZE, + EMPTY, + NEWLN, + _a_grid_in_property, + _a_grid_out_property, + _clear_entity_type_registry, +) +from pymongo import ASCENDING, DESCENDING, WriteConcern, _csot +from pymongo.asynchronous.client_session import AsyncClientSession +from pymongo.asynchronous.collection import AsyncCollection +from pymongo.asynchronous.cursor import AsyncCursor +from pymongo.asynchronous.database import AsyncDatabase +from pymongo.asynchronous.helpers import anext +from pymongo.common import validate_string +from pymongo.errors import ( + BulkWriteError, + ConfigurationError, + CursorNotFound, + DuplicateKeyError, + InvalidOperation, + OperationFailure, +) +from pymongo.helpers_shared import _check_write_command_response +from pymongo.read_preferences import ReadPreference, _ServerMode + +_IS_SYNC = False + + +def _disallow_transactions(session: Optional[AsyncClientSession]) -> None: + if session and session.in_transaction: + raise InvalidOperation("GridFS does not support multi-document transactions") + + +class AsyncGridFS: + """An instance of GridFS on top of a single Database.""" + + def __init__(self, database: AsyncDatabase, collection: str = "fs"): + """Create a new instance of :class:`GridFS`. + + Raises :class:`TypeError` if `database` is not an instance of + :class:`~pymongo.database.Database`. + + :param database: database to use + :param collection: root collection to use + + .. versionchanged:: 4.0 + Removed the `disable_md5` parameter. See + :ref:`removed-gridfs-checksum` for details. + + .. versionchanged:: 3.11 + Running a GridFS operation in a transaction now always raises an + error. GridFS does not support multi-document transactions. + + .. versionchanged:: 3.7 + Added the `disable_md5` parameter. + + .. versionchanged:: 3.1 + Indexes are only ensured on the first write to the DB. + + .. versionchanged:: 3.0 + `database` must use an acknowledged + :attr:`~pymongo.database.Database.write_concern` + + .. seealso:: The MongoDB documentation on `gridfs `_. + """ + if not isinstance(database, AsyncDatabase): + raise TypeError(f"database must be an instance of Database, not {type(database)}") + + database = _clear_entity_type_registry(database) + + if not database.write_concern.acknowledged: + raise ConfigurationError("database must use acknowledged write_concern") + + self._collection = database[collection] + self._files = self._collection.files + self._chunks = self._collection.chunks + + def new_file(self, **kwargs: Any) -> AsyncGridIn: + """Create a new file in GridFS. + + Returns a new :class:`~gridfs.grid_file.GridIn` instance to + which data can be written. Any keyword arguments will be + passed through to :meth:`~gridfs.grid_file.GridIn`. + + If the ``"_id"`` of the file is manually specified, it must + not already exist in GridFS. Otherwise + :class:`~gridfs.errors.FileExists` is raised. + + :param kwargs: keyword arguments for file creation + """ + return AsyncGridIn(self._collection, **kwargs) + + async def put(self, data: Any, **kwargs: Any) -> Any: + """Put data in GridFS as a new file. + + Equivalent to doing:: + + with fs.new_file(**kwargs) as f: + f.write(data) + + `data` can be either an instance of :class:`bytes` or a file-like + object providing a :meth:`read` method. If an `encoding` keyword + argument is passed, `data` can also be a :class:`str` instance, which + will be encoded as `encoding` before being written. Any keyword + arguments will be passed through to the created file - see + :meth:`~gridfs.grid_file.GridIn` for possible arguments. Returns the + ``"_id"`` of the created file. + + If the ``"_id"`` of the file is manually specified, it must + not already exist in GridFS. Otherwise + :class:`~gridfs.errors.FileExists` is raised. + + :param data: data to be written as a file. + :param kwargs: keyword arguments for file creation + + .. versionchanged:: 3.0 + w=0 writes to GridFS are now prohibited. + """ + async with AsyncGridIn(self._collection, **kwargs) as grid_file: + await grid_file.write(data) + return grid_file._id + + async def get(self, file_id: Any, session: Optional[AsyncClientSession] = None) -> AsyncGridOut: + """Get a file from GridFS by ``"_id"``. + + Returns an instance of :class:`~gridfs.grid_file.GridOut`, + which provides a file-like interface for reading. + + :param file_id: ``"_id"`` of the file to get + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + gout = AsyncGridOut(self._collection, file_id, session=session) + + # Raise NoFile now, instead of on first attribute access. + await gout.open() + return gout + + async def get_version( + self, + filename: Optional[str] = None, + version: Optional[int] = -1, + session: Optional[AsyncClientSession] = None, + **kwargs: Any, + ) -> AsyncGridOut: + """Get a file from GridFS by ``"filename"`` or metadata fields. + + Returns a version of the file in GridFS whose filename matches + `filename` and whose metadata fields match the supplied keyword + arguments, as an instance of :class:`~gridfs.grid_file.GridOut`. + + Version numbering is a convenience atop the GridFS API provided + by MongoDB. If more than one file matches the query (either by + `filename` alone, by metadata fields, or by a combination of + both), then version ``-1`` will be the most recently uploaded + matching file, ``-2`` the second most recently + uploaded, etc. Version ``0`` will be the first version + uploaded, ``1`` the second version, etc. So if three versions + have been uploaded, then version ``0`` is the same as version + ``-3``, version ``1`` is the same as version ``-2``, and + version ``2`` is the same as version ``-1``. + + Raises :class:`~gridfs.errors.NoFile` if no such version of + that file exists. + + :param filename: ``"filename"`` of the file to get, or `None` + :param version: version of the file to get (defaults + to -1, the most recent version uploaded) + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + :param kwargs: find files by custom metadata. + + .. versionchanged:: 3.6 + Added ``session`` parameter. + + .. versionchanged:: 3.1 + ``get_version`` no longer ensures indexes. + """ + query = kwargs + if filename is not None: + query["filename"] = filename + + _disallow_transactions(session) + cursor = self._files.find(query, session=session) + if version is None: + version = -1 + if version < 0: + skip = abs(version) - 1 + cursor.limit(-1).skip(skip).sort("uploadDate", DESCENDING) + else: + cursor.limit(-1).skip(version).sort("uploadDate", ASCENDING) + try: + doc = await anext(cursor) + return AsyncGridOut(self._collection, file_document=doc, session=session) + except StopAsyncIteration: + raise NoFile("no version %d for filename %r" % (version, filename)) from None + + async def get_last_version( + self, + filename: Optional[str] = None, + session: Optional[AsyncClientSession] = None, + **kwargs: Any, + ) -> AsyncGridOut: + """Get the most recent version of a file in GridFS by ``"filename"`` + or metadata fields. + + Equivalent to calling :meth:`get_version` with the default + `version` (``-1``). + + :param filename: ``"filename"`` of the file to get, or `None` + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + :param kwargs: find files by custom metadata. + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + return await self.get_version(filename=filename, session=session, **kwargs) + + # TODO add optional safe mode for chunk removal? + async def delete(self, file_id: Any, session: Optional[AsyncClientSession] = None) -> None: + """Delete a file from GridFS by ``"_id"``. + + Deletes all data belonging to the file with ``"_id"``: + `file_id`. + + .. warning:: Any processes/threads reading from the file while + this method is executing will likely see an invalid/corrupt + file. Care should be taken to avoid concurrent reads to a file + while it is being deleted. + + .. note:: Deletes of non-existent files are considered successful + since the end result is the same: no file with that _id remains. + + :param file_id: ``"_id"`` of the file to delete + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + + .. versionchanged:: 3.1 + ``delete`` no longer ensures indexes. + """ + _disallow_transactions(session) + await self._files.delete_one({"_id": file_id}, session=session) + await self._chunks.delete_many({"files_id": file_id}, session=session) + + async def list(self, session: Optional[AsyncClientSession] = None) -> list[str]: + """List the names of all files stored in this instance of + :class:`GridFS`. + + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + + .. versionchanged:: 3.1 + ``list`` no longer ensures indexes. + """ + _disallow_transactions(session) + # With an index, distinct includes documents with no filename + # as None. + return [ + name + for name in await self._files.distinct("filename", session=session) + if name is not None + ] + + async def find_one( + self, + filter: Optional[Any] = None, + session: Optional[AsyncClientSession] = None, + *args: Any, + **kwargs: Any, + ) -> Optional[AsyncGridOut]: + """Get a single file from gridfs. + + All arguments to :meth:`find` are also valid arguments for + :meth:`find_one`, although any `limit` argument will be + ignored. Returns a single :class:`~gridfs.grid_file.GridOut`, + or ``None`` if no matching file is found. For example: + + .. code-block: python + + file = fs.find_one({"filename": "lisa.txt"}) + + :param filter: a dictionary specifying + the query to be performing OR any other type to be used as + the value for a query for ``"_id"`` in the file collection. + :param args: any additional positional arguments are + the same as the arguments to :meth:`find`. + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + :param kwargs: any additional keyword arguments + are the same as the arguments to :meth:`find`. + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + if filter is not None and not isinstance(filter, abc.Mapping): + filter = {"_id": filter} + + _disallow_transactions(session) + async for f in self.find(filter, *args, session=session, **kwargs): + return f + + return None + + def find(self, *args: Any, **kwargs: Any) -> AsyncGridOutCursor: + """Query GridFS for files. + + Returns a cursor that iterates across files matching + arbitrary queries on the files collection. Can be combined + with other modifiers for additional control. For example:: + + for grid_out in fs.find({"filename": "lisa.txt"}, + no_cursor_timeout=True): + data = grid_out.read() + + would iterate through all versions of "lisa.txt" stored in GridFS. + Note that setting no_cursor_timeout to True may be important to + prevent the cursor from timing out during long multi-file processing + work. + + As another example, the call:: + + most_recent_three = fs.find().sort("uploadDate", -1).limit(3) + + would return a cursor to the three most recently uploaded files + in GridFS. + + Follows a similar interface to + :meth:`~pymongo.collection.Collection.find` + in :class:`~pymongo.collection.Collection`. + + If a :class:`~pymongo.client_session.AsyncClientSession` is passed to + :meth:`find`, all returned :class:`~gridfs.grid_file.GridOut` instances + are associated with that session. + + :param filter: A query document that selects which files + to include in the result set. Can be an empty document to include + all files. + :param skip: the number of files to omit (from + the start of the result set) when returning the results + :param limit: the maximum number of results to + return + :param no_cursor_timeout: if False (the default), any + returned cursor is closed by the server after 10 minutes of + inactivity. If set to True, the returned cursor will never + time out on the server. Care should be taken to ensure that + cursors with no_cursor_timeout turned on are properly closed. + :param sort: a list of (key, direction) pairs + specifying the sort order for this query. See + :meth:`~pymongo.cursor.Cursor.sort` for details. + + Raises :class:`TypeError` if any of the arguments are of + improper type. Returns an instance of + :class:`~gridfs.grid_file.GridOutCursor` + corresponding to this query. + + .. versionchanged:: 3.0 + Removed the read_preference, tag_sets, and + secondary_acceptable_latency_ms options. + .. versionadded:: 2.7 + .. seealso:: The MongoDB documentation on `find `_. + """ + return AsyncGridOutCursor(self._collection, *args, **kwargs) + + async def exists( + self, + document_or_id: Optional[Any] = None, + session: Optional[AsyncClientSession] = None, + **kwargs: Any, + ) -> bool: + """Check if a file exists in this instance of :class:`GridFS`. + + The file to check for can be specified by the value of its + ``_id`` key, or by passing in a query document. A query + document can be passed in as dictionary, or by using keyword + arguments. Thus, the following three calls are equivalent: + + >>> fs.exists(file_id) + >>> fs.exists({"_id": file_id}) + >>> fs.exists(_id=file_id) + + As are the following two calls: + + >>> fs.exists({"filename": "mike.txt"}) + >>> fs.exists(filename="mike.txt") + + And the following two: + + >>> fs.exists({"foo": {"$gt": 12}}) + >>> fs.exists(foo={"$gt": 12}) + + Returns ``True`` if a matching file exists, ``False`` + otherwise. Calls to :meth:`exists` will not automatically + create appropriate indexes; application developers should be + sure to create indexes if needed and as appropriate. + + :param document_or_id: query document, or _id of the + document to check for + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + :param kwargs: keyword arguments are used as a + query document, if they're present. + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + _disallow_transactions(session) + if kwargs: + f = await self._files.find_one(kwargs, ["_id"], session=session) + else: + f = await self._files.find_one(document_or_id, ["_id"], session=session) + + return f is not None + + +class AsyncGridFSBucket: + """An instance of GridFS on top of a single Database.""" + + def __init__( + self, + db: AsyncDatabase, + bucket_name: str = "fs", + chunk_size_bytes: int = DEFAULT_CHUNK_SIZE, + write_concern: Optional[WriteConcern] = None, + read_preference: Optional[_ServerMode] = None, + ) -> None: + """Create a new instance of :class:`GridFSBucket`. + + Raises :exc:`TypeError` if `database` is not an instance of + :class:`~pymongo.database.Database`. + + Raises :exc:`~pymongo.errors.ConfigurationError` if `write_concern` + is not acknowledged. + + :param database: database to use. + :param bucket_name: The name of the bucket. Defaults to 'fs'. + :param chunk_size_bytes: The chunk size in bytes. Defaults + to 255KB. + :param write_concern: The + :class:`~pymongo.write_concern.WriteConcern` to use. If ``None`` + (the default) db.write_concern is used. + :param read_preference: The read preference to use. If + ``None`` (the default) db.read_preference is used. + + .. versionchanged:: 4.0 + Removed the `disable_md5` parameter. See + :ref:`removed-gridfs-checksum` for details. + + .. versionchanged:: 3.11 + Running a GridFSBucket operation in a transaction now always raises + an error. GridFSBucket does not support multi-document transactions. + + .. versionchanged:: 3.7 + Added the `disable_md5` parameter. + + .. versionadded:: 3.1 + + .. seealso:: The MongoDB documentation on `gridfs `_. + """ + if not isinstance(db, AsyncDatabase): + raise TypeError(f"database must be an instance of AsyncDatabase, not {type(db)}") + + db = _clear_entity_type_registry(db) + + wtc = write_concern if write_concern is not None else db.write_concern + if not wtc.acknowledged: + raise ConfigurationError("write concern must be acknowledged") + + self._bucket_name = bucket_name + self._collection = db[bucket_name] + self._chunks: AsyncCollection = self._collection.chunks.with_options( + write_concern=write_concern, read_preference=read_preference + ) + + self._files: AsyncCollection = self._collection.files.with_options( + write_concern=write_concern, read_preference=read_preference + ) + + self._chunk_size_bytes = chunk_size_bytes + self._timeout = db.client.options.timeout + + def open_upload_stream( + self, + filename: str, + chunk_size_bytes: Optional[int] = None, + metadata: Optional[Mapping[str, Any]] = None, + session: Optional[AsyncClientSession] = None, + ) -> AsyncGridIn: + """Opens a Stream that the application can write the contents of the + file to. + + The user must specify the filename, and can choose to add any + additional information in the metadata field of the file document or + modify the chunk size. + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + with fs.open_upload_stream( + "test_file", chunk_size_bytes=4, + metadata={"contentType": "text/plain"}) as grid_in: + grid_in.write("data I want to store!") + # uploaded on close + + Returns an instance of :class:`~gridfs.grid_file.GridIn`. + + Raises :exc:`~gridfs.errors.NoFile` if no such version of + that file exists. + Raises :exc:`~ValueError` if `filename` is not a string. + + :param filename: The name of the file to upload. + :param chunk_size_bytes` (options): The number of bytes per chunk of this + file. Defaults to the chunk_size_bytes in :class:`GridFSBucket`. + :param metadata: User data for the 'metadata' field of the + files collection document. If not provided the metadata field will + be omitted from the files collection document. + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + validate_string("filename", filename) + + opts = { + "filename": filename, + "chunk_size": ( + chunk_size_bytes if chunk_size_bytes is not None else self._chunk_size_bytes + ), + } + if metadata is not None: + opts["metadata"] = metadata + + return AsyncGridIn(self._collection, session=session, **opts) + + def open_upload_stream_with_id( + self, + file_id: Any, + filename: str, + chunk_size_bytes: Optional[int] = None, + metadata: Optional[Mapping[str, Any]] = None, + session: Optional[AsyncClientSession] = None, + ) -> AsyncGridIn: + """Opens a Stream that the application can write the contents of the + file to. + + The user must specify the file id and filename, and can choose to add + any additional information in the metadata field of the file document + or modify the chunk size. + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + with fs.open_upload_stream_with_id( + ObjectId(), + "test_file", + chunk_size_bytes=4, + metadata={"contentType": "text/plain"}) as grid_in: + grid_in.write("data I want to store!") + # uploaded on close + + Returns an instance of :class:`~gridfs.grid_file.GridIn`. + + Raises :exc:`~gridfs.errors.NoFile` if no such version of + that file exists. + Raises :exc:`~ValueError` if `filename` is not a string. + + :param file_id: The id to use for this file. The id must not have + already been used for another file. + :param filename: The name of the file to upload. + :param chunk_size_bytes` (options): The number of bytes per chunk of this + file. Defaults to the chunk_size_bytes in :class:`GridFSBucket`. + :param metadata: User data for the 'metadata' field of the + files collection document. If not provided the metadata field will + be omitted from the files collection document. + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + validate_string("filename", filename) + + opts = { + "_id": file_id, + "filename": filename, + "chunk_size": ( + chunk_size_bytes if chunk_size_bytes is not None else self._chunk_size_bytes + ), + } + if metadata is not None: + opts["metadata"] = metadata + + return AsyncGridIn(self._collection, session=session, **opts) + + @_csot.apply + async def upload_from_stream( + self, + filename: str, + source: Any, + chunk_size_bytes: Optional[int] = None, + metadata: Optional[Mapping[str, Any]] = None, + session: Optional[AsyncClientSession] = None, + ) -> ObjectId: + """Uploads a user file to a GridFS bucket. + + Reads the contents of the user file from `source` and uploads + it to the file `filename`. Source can be a string or file-like object. + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + file_id = fs.upload_from_stream( + "test_file", + "data I want to store!", + chunk_size_bytes=4, + metadata={"contentType": "text/plain"}) + + Returns the _id of the uploaded file. + + Raises :exc:`~gridfs.errors.NoFile` if no such version of + that file exists. + Raises :exc:`~ValueError` if `filename` is not a string. + + :param filename: The name of the file to upload. + :param source: The source stream of the content to be uploaded. Must be + a file-like object that implements :meth:`read` or a string. + :param chunk_size_bytes` (options): The number of bytes per chunk of this + file. Defaults to the chunk_size_bytes of :class:`GridFSBucket`. + :param metadata: User data for the 'metadata' field of the + files collection document. If not provided the metadata field will + be omitted from the files collection document. + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + async with self.open_upload_stream( + filename, chunk_size_bytes, metadata, session=session + ) as gin: + await gin.write(source) + + return cast(ObjectId, gin._id) + + @_csot.apply + async def upload_from_stream_with_id( + self, + file_id: Any, + filename: str, + source: Any, + chunk_size_bytes: Optional[int] = None, + metadata: Optional[Mapping[str, Any]] = None, + session: Optional[AsyncClientSession] = None, + ) -> None: + """Uploads a user file to a GridFS bucket with a custom file id. + + Reads the contents of the user file from `source` and uploads + it to the file `filename`. Source can be a string or file-like object. + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + file_id = fs.upload_from_stream( + ObjectId(), + "test_file", + "data I want to store!", + chunk_size_bytes=4, + metadata={"contentType": "text/plain"}) + + Raises :exc:`~gridfs.errors.NoFile` if no such version of + that file exists. + Raises :exc:`~ValueError` if `filename` is not a string. + + :param file_id: The id to use for this file. The id must not have + already been used for another file. + :param filename: The name of the file to upload. + :param source: The source stream of the content to be uploaded. Must be + a file-like object that implements :meth:`read` or a string. + :param chunk_size_bytes` (options): The number of bytes per chunk of this + file. Defaults to the chunk_size_bytes of :class:`GridFSBucket`. + :param metadata: User data for the 'metadata' field of the + files collection document. If not provided the metadata field will + be omitted from the files collection document. + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + async with self.open_upload_stream_with_id( + file_id, filename, chunk_size_bytes, metadata, session=session + ) as gin: + await gin.write(source) + + async def open_download_stream( + self, file_id: Any, session: Optional[AsyncClientSession] = None + ) -> AsyncGridOut: + """Opens a Stream from which the application can read the contents of + the stored file specified by file_id. + + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + # get _id of file to read. + file_id = fs.upload_from_stream("test_file", "data I want to store!") + grid_out = fs.open_download_stream(file_id) + contents = grid_out.read() + + Returns an instance of :class:`~gridfs.grid_file.GridOut`. + + Raises :exc:`~gridfs.errors.NoFile` if no file with file_id exists. + + :param file_id: The _id of the file to be downloaded. + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + gout = AsyncGridOut(self._collection, file_id, session=session) + + # Raise NoFile now, instead of on first attribute access. + await gout.open() + return gout + + @_csot.apply + async def download_to_stream( + self, file_id: Any, destination: Any, session: Optional[AsyncClientSession] = None + ) -> None: + """Downloads the contents of the stored file specified by file_id and + writes the contents to `destination`. + + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + # Get _id of file to read + file_id = fs.upload_from_stream("test_file", "data I want to store!") + # Get file to write to + file = open('myfile','wb+') + fs.download_to_stream(file_id, file) + file.seek(0) + contents = file.read() + + Raises :exc:`~gridfs.errors.NoFile` if no file with file_id exists. + + :param file_id: The _id of the file to be downloaded. + :param destination: a file-like object implementing :meth:`write`. + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + async with await self.open_download_stream(file_id, session=session) as gout: + while True: + chunk = await gout.readchunk() + if not len(chunk): + break + destination.write(chunk) + + @_csot.apply + async def delete(self, file_id: Any, session: Optional[AsyncClientSession] = None) -> None: + """Given an file_id, delete this stored file's files collection document + and associated chunks from a GridFS bucket. + + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + # Get _id of file to delete + file_id = fs.upload_from_stream("test_file", "data I want to store!") + fs.delete(file_id) + + Raises :exc:`~gridfs.errors.NoFile` if no file with file_id exists. + + :param file_id: The _id of the file to be deleted. + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + _disallow_transactions(session) + res = await self._files.delete_one({"_id": file_id}, session=session) + await self._chunks.delete_many({"files_id": file_id}, session=session) + if not res.deleted_count: + raise NoFile("no file could be deleted because none matched %s" % file_id) + + @_csot.apply + async def delete_by_name( + self, filename: str, session: Optional[AsyncClientSession] = None + ) -> None: + """Given a filename, delete this stored file's files collection document(s) + and associated chunks from a GridFS bucket. + + For example:: + + my_db = AsyncMongoClient().test + fs = AsyncGridFSBucket(my_db) + await fs.upload_from_stream("test_file", "data I want to store!") + await fs.delete_by_name("test_file") + + Raises :exc:`~gridfs.errors.NoFile` if no file with the given filename exists. + + :param filename: The name of the file to be deleted. + :param session: a :class:`~pymongo.client_session.AsyncClientSession` + + .. versionadded:: 4.12 + """ + _disallow_transactions(session) + files = self._files.find({"filename": filename}, {"_id": 1}, session=session) + file_ids = [file["_id"] async for file in files] + res = await self._files.delete_many({"_id": {"$in": file_ids}}, session=session) + await self._chunks.delete_many({"files_id": {"$in": file_ids}}, session=session) + if not res.deleted_count: + raise NoFile(f"no file could be deleted because none matched filename {filename!r}") + + def find(self, *args: Any, **kwargs: Any) -> AsyncGridOutCursor: + """Find and return the files collection documents that match ``filter`` + + Returns a cursor that iterates across files matching + arbitrary queries on the files collection. Can be combined + with other modifiers for additional control. + + For example:: + + for grid_data in fs.find({"filename": "lisa.txt"}, + no_cursor_timeout=True): + data = grid_data.read() + + would iterate through all versions of "lisa.txt" stored in GridFS. + Note that setting no_cursor_timeout to True may be important to + prevent the cursor from timing out during long multi-file processing + work. + + As another example, the call:: + + most_recent_three = fs.find().sort("uploadDate", -1).limit(3) + + would return a cursor to the three most recently uploaded files + in GridFS. + + Follows a similar interface to + :meth:`~pymongo.collection.Collection.find` + in :class:`~pymongo.collection.Collection`. + + If a :class:`~pymongo.client_session.AsyncClientSession` is passed to + :meth:`find`, all returned :class:`~gridfs.grid_file.GridOut` instances + are associated with that session. + + :param filter: Search query. + :param batch_size: The number of documents to return per + batch. + :param limit: The maximum number of documents to return. + :param no_cursor_timeout: The server normally times out idle + cursors after an inactivity period (10 minutes) to prevent excess + memory use. Set this option to True prevent that. + :param skip: The number of documents to skip before + returning. + :param sort: The order by which to sort results. Defaults to + None. + """ + return AsyncGridOutCursor(self._collection, *args, **kwargs) + + async def open_download_stream_by_name( + self, filename: str, revision: int = -1, session: Optional[AsyncClientSession] = None + ) -> AsyncGridOut: + """Opens a Stream from which the application can read the contents of + `filename` and optional `revision`. + + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + grid_out = fs.open_download_stream_by_name("test_file") + contents = grid_out.read() + + Returns an instance of :class:`~gridfs.grid_file.GridOut`. + + Raises :exc:`~gridfs.errors.NoFile` if no such version of + that file exists. + + Raises :exc:`~ValueError` filename is not a string. + + :param filename: The name of the file to read from. + :param revision: Which revision (documents with the same + filename and different uploadDate) of the file to retrieve. + Defaults to -1 (the most recent revision). + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + + :Note: Revision numbers are defined as follows: + + - 0 = the original stored file + - 1 = the first revision + - 2 = the second revision + - etc... + - -2 = the second most recent revision + - -1 = the most recent revision + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + validate_string("filename", filename) + query = {"filename": filename} + _disallow_transactions(session) + cursor = self._files.find(query, session=session) + if revision < 0: + skip = abs(revision) - 1 + cursor.limit(-1).skip(skip).sort("uploadDate", DESCENDING) + else: + cursor.limit(-1).skip(revision).sort("uploadDate", ASCENDING) + try: + grid_file = await anext(cursor) + return AsyncGridOut(self._collection, file_document=grid_file, session=session) + except StopAsyncIteration: + raise NoFile("no version %d for filename %r" % (revision, filename)) from None + + @_csot.apply + async def download_to_stream_by_name( + self, + filename: str, + destination: Any, + revision: int = -1, + session: Optional[AsyncClientSession] = None, + ) -> None: + """Write the contents of `filename` (with optional `revision`) to + `destination`. + + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + # Get file to write to + file = open('myfile','wb') + fs.download_to_stream_by_name("test_file", file) + + Raises :exc:`~gridfs.errors.NoFile` if no such version of + that file exists. + + Raises :exc:`~ValueError` if `filename` is not a string. + + :param filename: The name of the file to read from. + :param destination: A file-like object that implements :meth:`write`. + :param revision: Which revision (documents with the same + filename and different uploadDate) of the file to retrieve. + Defaults to -1 (the most recent revision). + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + + :Note: Revision numbers are defined as follows: + + - 0 = the original stored file + - 1 = the first revision + - 2 = the second revision + - etc... + - -2 = the second most recent revision + - -1 = the most recent revision + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + async with await self.open_download_stream_by_name( + filename, revision, session=session + ) as gout: + while True: + chunk = await gout.readchunk() + if not len(chunk): + break + destination.write(chunk) + + async def rename( + self, file_id: Any, new_filename: str, session: Optional[AsyncClientSession] = None + ) -> None: + """Renames the stored file with the specified file_id. + + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + # Get _id of file to rename + file_id = fs.upload_from_stream("test_file", "data I want to store!") + fs.rename(file_id, "new_test_name") + + Raises :exc:`~gridfs.errors.NoFile` if no file with file_id exists. + + :param file_id: The _id of the file to be renamed. + :param new_filename: The new name of the file. + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + _disallow_transactions(session) + result = await self._files.update_one( + {"_id": file_id}, {"$set": {"filename": new_filename}}, session=session + ) + if not result.matched_count: + raise NoFile( + "no files could be renamed %r because none " + "matched file_id %i" % (new_filename, file_id) + ) + + async def rename_by_name( + self, filename: str, new_filename: str, session: Optional[AsyncClientSession] = None + ) -> None: + """Renames the stored file with the specified filename. + + For example:: + + my_db = AsyncMongoClient().test + fs = AsyncGridFSBucket(my_db) + await fs.upload_from_stream("test_file", "data I want to store!") + await fs.rename_by_name("test_file", "new_test_name") + + Raises :exc:`~gridfs.errors.NoFile` if no file with the given filename exists. + + :param filename: The filename of the file to be renamed. + :param new_filename: The new name of the file. + :param session: a :class:`~pymongo.client_session.AsyncClientSession` + + .. versionadded:: 4.12 + """ + _disallow_transactions(session) + result = await self._files.update_many( + {"filename": filename}, {"$set": {"filename": new_filename}}, session=session + ) + if not result.matched_count: + raise NoFile( + f"no files could be renamed {new_filename!r} because none matched filename {filename!r}" + ) + + +class AsyncGridIn: + """Class to write data to GridFS.""" + + def __init__( + self, + root_collection: AsyncCollection, + session: Optional[AsyncClientSession] = None, + **kwargs: Any, + ) -> None: + """Write a file to GridFS + + Application developers should generally not need to + instantiate this class directly - instead see the methods + provided by :class:`~gridfs.GridFS`. + + Raises :class:`TypeError` if `root_collection` is not an + instance of :class:`~pymongo.collection.AsyncCollection`. + + Any of the file level options specified in the `GridFS Spec + `_ may be passed as + keyword arguments. Any additional keyword arguments will be + set as additional fields on the file document. Valid keyword + arguments include: + + - ``"_id"``: unique ID for this file (default: + :class:`~bson.objectid.ObjectId`) - this ``"_id"`` must + not have already been used for another file + + - ``"filename"``: human name for the file + + - ``"contentType"`` or ``"content_type"``: valid mime-type + for the file + + - ``"chunkSize"`` or ``"chunk_size"``: size of each of the + chunks, in bytes (default: 255 kb) + + - ``"encoding"``: encoding used for this file. Any :class:`str` + that is written to the file will be converted to :class:`bytes`. + + :param root_collection: root collection to write to + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` to use for all + commands + :param kwargs: Any: file level options (see above) + + .. versionchanged:: 4.0 + Removed the `disable_md5` parameter. See + :ref:`removed-gridfs-checksum` for details. + + .. versionchanged:: 3.7 + Added the `disable_md5` parameter. + + .. versionchanged:: 3.6 + Added ``session`` parameter. + + .. versionchanged:: 3.0 + `root_collection` must use an acknowledged + :attr:`~pymongo.collection.AsyncCollection.write_concern` + """ + if not isinstance(root_collection, AsyncCollection): + raise TypeError( + f"root_collection must be an instance of AsyncCollection, not {type(root_collection)}" + ) + + if not root_collection.write_concern.acknowledged: + raise ConfigurationError("root_collection must use acknowledged write_concern") + _disallow_transactions(session) + + # Handle alternative naming + if "content_type" in kwargs: + kwargs["contentType"] = kwargs.pop("content_type") + if "chunk_size" in kwargs: + kwargs["chunkSize"] = kwargs.pop("chunk_size") + + coll = _clear_entity_type_registry(root_collection, read_preference=ReadPreference.PRIMARY) + + # Defaults + kwargs["_id"] = kwargs.get("_id", ObjectId()) + kwargs["chunkSize"] = kwargs.get("chunkSize", DEFAULT_CHUNK_SIZE) + object.__setattr__(self, "_session", session) + object.__setattr__(self, "_coll", coll) + object.__setattr__(self, "_chunks", coll.chunks) + object.__setattr__(self, "_file", kwargs) + object.__setattr__(self, "_buffer", io.BytesIO()) + object.__setattr__(self, "_position", 0) + object.__setattr__(self, "_chunk_number", 0) + object.__setattr__(self, "_closed", False) + object.__setattr__(self, "_ensured_index", False) + object.__setattr__(self, "_buffered_docs", []) + object.__setattr__(self, "_buffered_docs_size", 0) + + async def _create_index( + self, collection: AsyncCollection, index_key: Any, unique: bool + ) -> None: + doc = await collection.find_one(projection={"_id": 1}, session=self._session) + if doc is None: + try: + index_keys = [ + index_spec["key"] + async for index_spec in await collection.list_indexes(session=self._session) + ] + except OperationFailure: + index_keys = [] + if index_key not in index_keys: + await collection.create_index( + index_key.items(), unique=unique, session=self._session + ) + + async def _ensure_indexes(self) -> None: + if not object.__getattribute__(self, "_ensured_index"): + _disallow_transactions(self._session) + await self._create_index(self._coll.files, _F_INDEX, False) + await self._create_index(self._coll.chunks, _C_INDEX, True) + object.__setattr__(self, "_ensured_index", True) + + async def abort(self) -> None: + """Remove all chunks/files that may have been uploaded and close.""" + await self._coll.chunks.delete_many({"files_id": self._file["_id"]}, session=self._session) + await self._coll.files.delete_one({"_id": self._file["_id"]}, session=self._session) + object.__setattr__(self, "_closed", True) + + @property + def closed(self) -> bool: + """Is this file closed?""" + return self._closed + + _id: Any = _a_grid_in_property("_id", "The ``'_id'`` value for this file.", read_only=True) + filename: Optional[str] = _a_grid_in_property("filename", "Name of this file.") + name: Optional[str] = _a_grid_in_property("filename", "Alias for `filename`.") + content_type: Optional[str] = _a_grid_in_property( + "contentType", "DEPRECATED, will be removed in PyMongo 5.0. Mime-type for this file." + ) + length: int = _a_grid_in_property("length", "Length (in bytes) of this file.", closed_only=True) + chunk_size: int = _a_grid_in_property("chunkSize", "Chunk size for this file.", read_only=True) + upload_date: datetime.datetime = _a_grid_in_property( + "uploadDate", "Date that this file was uploaded.", closed_only=True + ) + md5: Optional[str] = _a_grid_in_property( + "md5", + "DEPRECATED, will be removed in PyMongo 5.0. MD5 of the contents of this file if an md5 sum was created.", + closed_only=True, + ) + + _buffer: io.BytesIO + _closed: bool + _buffered_docs: list[dict[str, Any]] + _buffered_docs_size: int + + def __getattr__(self, name: str) -> Any: + if name == "_coll": + return object.__getattribute__(self, name) + elif name in self._file: + return self._file[name] + raise AttributeError("GridIn object has no attribute '%s'" % name) + + def __setattr__(self, name: str, value: Any) -> None: + # For properties of this instance like _buffer, or descriptors set on + # the class like filename, use regular __setattr__ + if name in self.__dict__ or name in self.__class__.__dict__: + object.__setattr__(self, name, value) + else: + # All other attributes are part of the document in db.fs.files. + # Store them to be sent to server on close() or if closed, send + # them now. + self._file[name] = value + if self._closed: + if _IS_SYNC: + self._coll.files.update_one({"_id": self._file["_id"]}, {"$set": {name: value}}) + else: + raise AttributeError( + "AsyncGridIn does not support __setattr__ after being closed(). Set the attribute before closing the file or use AsyncGridIn.set() instead" + ) + + async def set(self, name: str, value: Any) -> None: + self._file[name] = value + if self._closed: + await self._coll.files.update_one({"_id": self._file["_id"]}, {"$set": {name: value}}) + + async def _flush_data(self, data: Any, force: bool = False) -> None: + """Flush `data` to a chunk.""" + await self._ensure_indexes() + assert len(data) <= self.chunk_size + if data: + self._buffered_docs.append( + {"files_id": self._file["_id"], "n": self._chunk_number, "data": data} + ) + self._buffered_docs_size += len(data) + _CHUNK_OVERHEAD + if not self._buffered_docs: + return + # Limit to 100,000 chunks or 32MB (+1 chunk) of data. + if ( + force + or self._buffered_docs_size >= _UPLOAD_BUFFER_SIZE + or len(self._buffered_docs) >= _UPLOAD_BUFFER_CHUNKS + ): + try: + await self._chunks.insert_many(self._buffered_docs, session=self._session) + except BulkWriteError as exc: + # For backwards compatibility, raise an insert_one style exception. + write_errors = exc.details["writeErrors"] + for err in write_errors: + if err.get("code") in (11000, 11001, 12582): # Duplicate key errors + self._raise_file_exists(self._file["_id"]) + result = {"writeErrors": write_errors} + wces = exc.details["writeConcernErrors"] + if wces: + result["writeConcernError"] = wces[-1] + _check_write_command_response(result) + raise + self._buffered_docs = [] + self._buffered_docs_size = 0 + self._chunk_number += 1 + self._position += len(data) + + async def _flush_buffer(self, force: bool = False) -> None: + """Flush the buffer contents out to a chunk.""" + await self._flush_data(self._buffer.getvalue(), force=force) + self._buffer.close() + self._buffer = io.BytesIO() + + async def _flush(self) -> Any: + """Flush the file to the database.""" + try: + await self._flush_buffer(force=True) + # The GridFS spec says length SHOULD be an Int64. + self._file["length"] = Int64(self._position) + self._file["uploadDate"] = datetime.datetime.now(tz=datetime.timezone.utc) + + return await self._coll.files.insert_one(self._file, session=self._session) + except DuplicateKeyError: + self._raise_file_exists(self._id) + + def _raise_file_exists(self, file_id: Any) -> NoReturn: + """Raise a FileExists exception for the given file_id.""" + raise FileExists("file with _id %r already exists" % file_id) + + async def close(self) -> None: + """Flush the file and close it. + + A closed file cannot be written any more. Calling + :meth:`close` more than once is allowed. + """ + if not self._closed: + await self._flush() + object.__setattr__(self, "_closed", True) + + def read(self, size: int = -1) -> NoReturn: + raise io.UnsupportedOperation("read") + + def readable(self) -> bool: + return False + + def seekable(self) -> bool: + return False + + async def write(self, data: Any) -> None: + """Write data to the file. There is no return value. + + `data` can be either a string of bytes or a file-like object + (implementing :meth:`read`). If the file has an + :attr:`encoding` attribute, `data` can also be a + :class:`str` instance, which will be encoded as + :attr:`encoding` before being written. + + Due to buffering, the data may not actually be written to the + database until the :meth:`close` method is called. Raises + :class:`ValueError` if this file is already closed. Raises + :class:`TypeError` if `data` is not an instance of + :class:`bytes`, a file-like object, or an instance of :class:`str`. + Unicode data is only allowed if the file has an :attr:`encoding` + attribute. + + :param data: string of bytes or file-like object to be written + to the file + """ + if self._closed: + raise ValueError("cannot write to a closed file") + + try: + # file-like + read = data.read + except AttributeError: + # string + if not isinstance(data, (str, bytes)): + raise TypeError("can only write strings or file-like objects") from None + if isinstance(data, str): + try: + data = data.encode(self.encoding) + except AttributeError: + raise TypeError( + "must specify an encoding for file in order to write str" + ) from None + read = io.BytesIO(data).read + + if inspect.iscoroutinefunction(read): + await self._write_async(read) + else: + if self._buffer.tell() > 0: + # Make sure to flush only when _buffer is complete + space = self.chunk_size - self._buffer.tell() + if space: + try: + to_write = read(space) + except BaseException: + await self.abort() + raise + self._buffer.write(to_write) + if len(to_write) < space: + return # EOF or incomplete + await self._flush_buffer() + to_write = read(self.chunk_size) + while to_write and len(to_write) == self.chunk_size: + await self._flush_data(to_write) + to_write = read(self.chunk_size) + self._buffer.write(to_write) + + async def _write_async(self, read: Any) -> None: + if self._buffer.tell() > 0: + # Make sure to flush only when _buffer is complete + space = self.chunk_size - self._buffer.tell() + if space: + try: + to_write = await read(space) + except BaseException: + await self.abort() + raise + self._buffer.write(to_write) + if len(to_write) < space: + return # EOF or incomplete + await self._flush_buffer() + to_write = await read(self.chunk_size) + while to_write and len(to_write) == self.chunk_size: + await self._flush_data(to_write) + to_write = await read(self.chunk_size) + self._buffer.write(to_write) + + async def writelines(self, sequence: Iterable[Any]) -> None: + """Write a sequence of strings to the file. + + Does not add separators. + """ + for line in sequence: + await self.write(line) + + def writeable(self) -> bool: + return True + + async def __aenter__(self) -> AsyncGridIn: + """Support for the context manager protocol.""" + return self + + async def __aexit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> Any: + """Support for the context manager protocol. + + Close the file if no exceptions occur and allow exceptions to propagate. + """ + if exc_type is None: + # No exceptions happened. + await self.close() + else: + # Something happened, at minimum mark as closed. + object.__setattr__(self, "_closed", True) + + # propagate exceptions + return False + + +GRIDOUT_BASE_CLASS = io.IOBase if _IS_SYNC else object # type: Any + + +class AsyncGridOut(GRIDOUT_BASE_CLASS): # type: ignore + + """Class to read data out of GridFS.""" + + def __init__( + self, + root_collection: AsyncCollection, + file_id: Optional[int] = None, + file_document: Optional[Any] = None, + session: Optional[AsyncClientSession] = None, + ) -> None: + """Read a file from GridFS + + Application developers should generally not need to + instantiate this class directly - instead see the methods + provided by :class:`~gridfs.GridFS`. + + Either `file_id` or `file_document` must be specified, + `file_document` will be given priority if present. Raises + :class:`TypeError` if `root_collection` is not an instance of + :class:`~pymongo.collection.AsyncCollection`. + + :param root_collection: root collection to read from + :param file_id: value of ``"_id"`` for the file to read + :param file_document: file document from + `root_collection.files` + :param session: a + :class:`~pymongo.client_session.AsyncClientSession` to use for all + commands + + .. versionchanged:: 3.8 + For better performance and to better follow the GridFS spec, + :class:`GridOut` now uses a single cursor to read all the chunks in + the file. + + .. versionchanged:: 3.6 + Added ``session`` parameter. + + .. versionchanged:: 3.0 + Creating a GridOut does not immediately retrieve the file metadata + from the server. Metadata is fetched when first needed. + """ + if not isinstance(root_collection, AsyncCollection): + raise TypeError( + f"root_collection must be an instance of AsyncCollection, not {type(root_collection)}" + ) + _disallow_transactions(session) + + root_collection = _clear_entity_type_registry(root_collection) + + super().__init__() + + self._chunks = root_collection.chunks + self._files = root_collection.files + self._file_id = file_id + self._buffer = EMPTY + # Start position within the current buffered chunk. + self._buffer_pos = 0 + self._chunk_iter = None + # Position within the total file. + self._position = 0 + self._file = file_document + self._session = session + if not _IS_SYNC: + self.closed = False + + _id: Any = _a_grid_out_property("_id", "The ``'_id'`` value for this file.") + filename: str = _a_grid_out_property("filename", "Name of this file.") + name: str = _a_grid_out_property("filename", "Alias for `filename`.") + content_type: Optional[str] = _a_grid_out_property( + "contentType", "DEPRECATED, will be removed in PyMongo 5.0. Mime-type for this file." + ) + length: int = _a_grid_out_property("length", "Length (in bytes) of this file.") + chunk_size: int = _a_grid_out_property("chunkSize", "Chunk size for this file.") + upload_date: datetime.datetime = _a_grid_out_property( + "uploadDate", "Date that this file was first uploaded." + ) + aliases: Optional[list[str]] = _a_grid_out_property( + "aliases", "DEPRECATED, will be removed in PyMongo 5.0. List of aliases for this file." + ) + metadata: Optional[Mapping[str, Any]] = _a_grid_out_property( + "metadata", "Metadata attached to this file." + ) + md5: Optional[str] = _a_grid_out_property( + "md5", + "DEPRECATED, will be removed in PyMongo 5.0. MD5 of the contents of this file if an md5 sum was created.", + ) + + _file: Any + _chunk_iter: Any + + if not _IS_SYNC: + closed: bool + + async def __anext__(self) -> bytes: + line = await self.readline() + if line: + return line + raise StopAsyncIteration() + + async def to_list(self) -> list[bytes]: + return [x async for x in self] # noqa: C416, RUF100 + + async def readline(self, size: int = -1) -> bytes: + """Read one line or up to `size` bytes from the file. + + :param size: the maximum number of bytes to read + """ + return await self._read_size_or_line(size=size, line=True) + + async def readlines(self, size: int = -1) -> list[bytes]: + """Read one line or up to `size` bytes from the file. + + :param size: the maximum number of bytes to read + """ + await self.open() + lines = [] + remainder = int(self.length) - self._position + bytes_read = 0 + while remainder > 0: + line = await self._read_size_or_line(line=True) + bytes_read += len(line) + lines.append(line) + remainder = int(self.length) - self._position + if 0 < size < bytes_read: + break + + return lines + + async def open(self) -> None: + if not self._file: + _disallow_transactions(self._session) + self._file = await self._files.find_one({"_id": self._file_id}, session=self._session) + if not self._file: + raise NoFile( + f"no file in gridfs collection {self._files!r} with _id {self._file_id!r}" + ) + + def __getattr__(self, name: str) -> Any: + if _IS_SYNC: + self.open() # type: ignore[unused-coroutine] + elif not self._file: + raise InvalidOperation( + "You must call AsyncGridOut.open() before accessing the %s property" % name + ) + if name in self._file: + return self._file[name] + raise AttributeError("GridOut object has no attribute '%s'" % name) + + def readable(self) -> bool: + return True + + async def readchunk(self) -> bytes: + """Reads a chunk at a time. If the current position is within a + chunk the remainder of the chunk is returned. + """ + await self.open() + received = len(self._buffer) - self._buffer_pos + chunk_data = EMPTY + chunk_size = int(self.chunk_size) + + if received > 0: + chunk_data = self._buffer[self._buffer_pos :] + elif self._position < int(self.length): + chunk_number = int((received + self._position) / chunk_size) + if self._chunk_iter is None: + self._chunk_iter = _AsyncGridOutChunkIterator( + self, self._chunks, self._session, chunk_number + ) + + chunk = await self._chunk_iter.next() + chunk_data = chunk["data"][self._position % chunk_size :] + + if not chunk_data: + raise CorruptGridFile("truncated chunk") + + self._position += len(chunk_data) + self._buffer = EMPTY + self._buffer_pos = 0 + return chunk_data + + async def _read_size_or_line(self, size: int = -1, line: bool = False) -> bytes: + """Internal read() and readline() helper.""" + await self.open() + remainder = int(self.length) - self._position + if size < 0 or size > remainder: + size = remainder + + if size == 0: + return EMPTY + + received = 0 + data = [] + while received < size: + needed = size - received + if self._buffer: + # Optimization: Read the buffer with zero byte copies. + buf = self._buffer + chunk_start = self._buffer_pos + chunk_data = memoryview(buf)[self._buffer_pos :] + self._buffer = EMPTY + self._buffer_pos = 0 + self._position += len(chunk_data) + else: + buf = await self.readchunk() + chunk_start = 0 + chunk_data = memoryview(buf) + if line: + pos = buf.find(NEWLN, chunk_start, chunk_start + needed) - chunk_start + if pos >= 0: + # Decrease size to exit the loop. + size = received + pos + 1 + needed = pos + 1 + if len(chunk_data) > needed: + data.append(chunk_data[:needed]) + # Optimization: Save the buffer with zero byte copies. + self._buffer = buf + self._buffer_pos = chunk_start + needed + self._position -= len(self._buffer) - self._buffer_pos + else: + data.append(chunk_data) + received += len(chunk_data) + + # Detect extra chunks after reading the entire file. + if size == remainder and self._chunk_iter: + try: + await self._chunk_iter.next() + except StopAsyncIteration: + pass + + return b"".join(data) + + async def read(self, size: int = -1) -> bytes: + """Read at most `size` bytes from the file (less if there + isn't enough data). + + The bytes are returned as an instance of :class:`bytes` + If `size` is negative or omitted all data is read. + + :param size: the number of bytes to read + + .. versionchanged:: 3.8 + This method now only checks for extra chunks after reading the + entire file. Previously, this method would check for extra chunks + on every call. + """ + return await self._read_size_or_line(size=size) + + def tell(self) -> int: + """Return the current position of this file.""" + return self._position + + async def seek(self, pos: int, whence: int = _SEEK_SET) -> int: + """Set the current position of this file. + + :param pos: the position (or offset if using relative + positioning) to seek to + :param whence: where to seek + from. :attr:`os.SEEK_SET` (``0``) for absolute file + positioning, :attr:`os.SEEK_CUR` (``1``) to seek relative + to the current position, :attr:`os.SEEK_END` (``2``) to + seek relative to the file's end. + + .. versionchanged:: 4.1 + The method now returns the new position in the file, to + conform to the behavior of :meth:`io.IOBase.seek`. + """ + if whence == _SEEK_SET: + new_pos = pos + elif whence == _SEEK_CUR: + new_pos = self._position + pos + elif whence == _SEEK_END: + new_pos = int(self.length) + pos + else: + raise OSError(22, "Invalid value for `whence`") + + if new_pos < 0: + raise OSError(22, "Invalid value for `pos` - must be positive") + + # Optimization, continue using the same buffer and chunk iterator. + if new_pos == self._position: + return new_pos + + self._position = new_pos + self._buffer = EMPTY + self._buffer_pos = 0 + if self._chunk_iter: + await self._chunk_iter.close() + self._chunk_iter = None + return new_pos + + def seekable(self) -> bool: + return True + + def __aiter__(self) -> AsyncGridOut: + """Return an iterator over all of this file's data. + + The iterator will return lines (delimited by ``b'\\n'``) of + :class:`bytes`. This can be useful when serving files + using a webserver that handles such an iterator efficiently. + + .. versionchanged:: 3.8 + The iterator now raises :class:`CorruptGridFile` when encountering + any truncated, missing, or extra chunk in a file. The previous + behavior was to only raise :class:`CorruptGridFile` on a missing + chunk. + + .. versionchanged:: 4.0 + The iterator now iterates over *lines* in the file, instead + of chunks, to conform to the base class :py:class:`io.IOBase`. + Use :meth:`GridOut.readchunk` to read chunk by chunk instead + of line by line. + """ + return self + + async def close(self) -> None: + """Make GridOut more generically file-like.""" + if self._chunk_iter: + await self._chunk_iter.close() + self._chunk_iter = None + if _IS_SYNC: + super().close() + else: + self.closed = True + + def write(self, value: Any) -> NoReturn: + raise io.UnsupportedOperation("write") + + def writelines(self, lines: Any) -> NoReturn: + raise io.UnsupportedOperation("writelines") + + def writable(self) -> bool: + return False + + async def __aenter__(self) -> AsyncGridOut: + """Makes it possible to use :class:`AsyncGridOut` files + with the async context manager protocol. + """ + return self + + async def __aexit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> Any: + """Makes it possible to use :class:`AsyncGridOut` files + with the async context manager protocol. + """ + await self.close() + return False + + def fileno(self) -> NoReturn: + raise io.UnsupportedOperation("fileno") + + def flush(self) -> None: + # GridOut is read-only, so flush does nothing. + pass + + def isatty(self) -> bool: + return False + + def truncate(self, size: Optional[int] = None) -> NoReturn: + # See https://docs.python.org/3/library/io.html#io.IOBase.writable + # for why truncate has to raise. + raise io.UnsupportedOperation("truncate") + + # Override IOBase.__del__ otherwise it will lead to __getattr__ on + # __IOBase_closed which calls _ensure_file and potentially performs I/O. + # We cannot do I/O in __del__ since it can lead to a deadlock. + def __del__(self) -> None: + pass + + +class _AsyncGridOutChunkIterator: + """Iterates over a file's chunks using a single cursor. + + Raises CorruptGridFile when encountering any truncated, missing, or extra + chunk in a file. + """ + + def __init__( + self, + grid_out: AsyncGridOut, + chunks: AsyncCollection, + session: Optional[AsyncClientSession], + next_chunk: Any, + ) -> None: + self._id = grid_out._id + self._chunk_size = int(grid_out.chunk_size) + self._length = int(grid_out.length) + self._chunks = chunks + self._session = session + self._next_chunk = next_chunk + self._num_chunks = math.ceil(float(self._length) / self._chunk_size) + self._cursor = None + + _cursor: Optional[AsyncCursor] + + def expected_chunk_length(self, chunk_n: int) -> int: + if chunk_n < self._num_chunks - 1: + return self._chunk_size + return self._length - (self._chunk_size * (self._num_chunks - 1)) + + def __aiter__(self) -> _AsyncGridOutChunkIterator: + return self + + def _create_cursor(self) -> None: + filter = {"files_id": self._id} + if self._next_chunk > 0: + filter["n"] = {"$gte": self._next_chunk} + _disallow_transactions(self._session) + self._cursor = self._chunks.find(filter, sort=[("n", 1)], session=self._session) + + async def _next_with_retry(self) -> Mapping[str, Any]: + """Return the next chunk and retry once on CursorNotFound. + + We retry on CursorNotFound to maintain backwards compatibility in + cases where two calls to read occur more than 10 minutes apart (the + server's default cursor timeout). + """ + if self._cursor is None: + self._create_cursor() + assert self._cursor is not None + try: + return await self._cursor.next() + except CursorNotFound: + await self._cursor.close() + self._create_cursor() + return await self._cursor.next() + + async def next(self) -> Mapping[str, Any]: + try: + chunk = await self._next_with_retry() + except StopAsyncIteration: + if self._next_chunk >= self._num_chunks: + raise + raise CorruptGridFile("no chunk #%d" % self._next_chunk) from None + + if chunk["n"] != self._next_chunk: + await self.close() + raise CorruptGridFile( + "Missing chunk: expected chunk #%d but found " + "chunk with n=%d" % (self._next_chunk, chunk["n"]) + ) + + if chunk["n"] >= self._num_chunks: + # According to spec, ignore extra chunks if they are empty. + if len(chunk["data"]): + await self.close() + raise CorruptGridFile( + "Extra chunk found: expected %d chunks but found " + "chunk with n=%d" % (self._num_chunks, chunk["n"]) + ) + + expected_length = self.expected_chunk_length(chunk["n"]) + if len(chunk["data"]) != expected_length: + await self.close() + raise CorruptGridFile( + "truncated chunk #%d: expected chunk length to be %d but " + "found chunk with length %d" % (chunk["n"], expected_length, len(chunk["data"])) + ) + + self._next_chunk += 1 + return chunk + + __anext__ = next + + async def close(self) -> None: + if self._cursor: + await self._cursor.close() + self._cursor = None + + +class AsyncGridOutIterator: + def __init__( + self, grid_out: AsyncGridOut, chunks: AsyncCollection, session: AsyncClientSession + ): + self._chunk_iter = _AsyncGridOutChunkIterator(grid_out, chunks, session, 0) + + def __aiter__(self) -> AsyncGridOutIterator: + return self + + async def next(self) -> bytes: + chunk = await self._chunk_iter.next() + return bytes(chunk["data"]) + + __anext__ = next + + +class AsyncGridOutCursor(AsyncCursor): + """A cursor / iterator for returning GridOut objects as the result + of an arbitrary query against the GridFS files collection. + """ + + def __init__( + self, + collection: AsyncCollection, + filter: Optional[Mapping[str, Any]] = None, + skip: int = 0, + limit: int = 0, + no_cursor_timeout: bool = False, + sort: Optional[Any] = None, + batch_size: int = 0, + session: Optional[AsyncClientSession] = None, + ) -> None: + """Create a new cursor, similar to the normal + :class:`~pymongo.cursor.Cursor`. + + Should not be called directly by application developers - see + the :class:`~gridfs.GridFS` method :meth:`~gridfs.GridFS.find` instead. + + .. versionadded 2.7 + + .. seealso:: The MongoDB documentation on `cursors `_. + """ + _disallow_transactions(session) + collection = _clear_entity_type_registry(collection) + + # Hold on to the base "fs" collection to create GridOut objects later. + self._root_collection = collection + + super().__init__( + collection.files, + filter, + skip=skip, + limit=limit, + no_cursor_timeout=no_cursor_timeout, + sort=sort, + batch_size=batch_size, + session=session, + ) + + async def next(self) -> AsyncGridOut: + """Get next GridOut object from cursor.""" + _disallow_transactions(self.session) + next_file = await super().next() + return AsyncGridOut(self._root_collection, file_document=next_file, session=self.session) + + async def to_list(self, length: Optional[int] = None) -> list[AsyncGridOut]: + """Convert the cursor to a list.""" + if length is None: + return [x async for x in self] # noqa: C416,RUF100 + if length < 1: + raise ValueError("to_list() length must be greater than 0") + ret = [] + for _ in range(length): + ret.append(await self.next()) + return ret + + __anext__ = next + + def add_option(self, *args: Any, **kwargs: Any) -> NoReturn: + raise NotImplementedError("Method does not exist for GridOutCursor") + + def remove_option(self, *args: Any, **kwargs: Any) -> NoReturn: + raise NotImplementedError("Method does not exist for GridOutCursor") + + def _clone_base(self, session: Optional[AsyncClientSession]) -> AsyncGridOutCursor: + """Creates an empty GridOutCursor for information to be copied into.""" + return AsyncGridOutCursor(self._root_collection, session=session) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/synchronous/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/synchronous/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..bc2704364b96dbe06ca53f9cbff699875d6a120d --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/synchronous/__init__.py @@ -0,0 +1,42 @@ +# Copyright 2009-present MongoDB, Inc. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""GridFS is a specification for storing large objects in Mongo. + +The :mod:`gridfs` package is an implementation of GridFS on top of +:mod:`pymongo`, exposing a file-like interface. + +.. seealso:: The MongoDB documentation on `gridfs `_. +""" +from __future__ import annotations + +from gridfs.errors import NoFile +from gridfs.grid_file_shared import DEFAULT_CHUNK_SIZE +from gridfs.synchronous.grid_file import ( + GridFS, + GridFSBucket, + GridIn, + GridOut, + GridOutCursor, +) + +__all__ = [ + "GridFS", + "GridFSBucket", + "NoFile", + "DEFAULT_CHUNK_SIZE", + "GridIn", + "GridOut", + "GridOutCursor", +] diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/synchronous/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/synchronous/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..455c15e1029be50891be22551dd1b6e709e92266 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/synchronous/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/synchronous/__pycache__/grid_file.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/synchronous/__pycache__/grid_file.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..84bef51678d888f524a519c4a52c20e03bcc7af3 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/synchronous/__pycache__/grid_file.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/synchronous/grid_file.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/synchronous/grid_file.py new file mode 100644 index 0000000000000000000000000000000000000000..d0a4c7fc7fc580ba605e300389e46a94a380ba5c --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gridfs/synchronous/grid_file.py @@ -0,0 +1,1994 @@ +# Copyright 2009-present MongoDB, Inc. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Tools for representing files stored in GridFS.""" +from __future__ import annotations + +import datetime +import inspect +import io +import math +from collections import abc +from typing import Any, Iterable, Mapping, NoReturn, Optional, cast + +from bson.int64 import Int64 +from bson.objectid import ObjectId +from gridfs.errors import CorruptGridFile, FileExists, NoFile +from gridfs.grid_file_shared import ( + _C_INDEX, + _CHUNK_OVERHEAD, + _F_INDEX, + _SEEK_CUR, + _SEEK_END, + _SEEK_SET, + _UPLOAD_BUFFER_CHUNKS, + _UPLOAD_BUFFER_SIZE, + DEFAULT_CHUNK_SIZE, + EMPTY, + NEWLN, + _clear_entity_type_registry, + _grid_in_property, + _grid_out_property, +) +from pymongo import ASCENDING, DESCENDING, WriteConcern, _csot +from pymongo.common import validate_string +from pymongo.errors import ( + BulkWriteError, + ConfigurationError, + CursorNotFound, + DuplicateKeyError, + InvalidOperation, + OperationFailure, +) +from pymongo.helpers_shared import _check_write_command_response +from pymongo.read_preferences import ReadPreference, _ServerMode +from pymongo.synchronous.client_session import ClientSession +from pymongo.synchronous.collection import Collection +from pymongo.synchronous.cursor import Cursor +from pymongo.synchronous.database import Database +from pymongo.synchronous.helpers import next + +_IS_SYNC = True + + +def _disallow_transactions(session: Optional[ClientSession]) -> None: + if session and session.in_transaction: + raise InvalidOperation("GridFS does not support multi-document transactions") + + +class GridFS: + """An instance of GridFS on top of a single Database.""" + + def __init__(self, database: Database, collection: str = "fs"): + """Create a new instance of :class:`GridFS`. + + Raises :class:`TypeError` if `database` is not an instance of + :class:`~pymongo.database.Database`. + + :param database: database to use + :param collection: root collection to use + + .. versionchanged:: 4.0 + Removed the `disable_md5` parameter. See + :ref:`removed-gridfs-checksum` for details. + + .. versionchanged:: 3.11 + Running a GridFS operation in a transaction now always raises an + error. GridFS does not support multi-document transactions. + + .. versionchanged:: 3.7 + Added the `disable_md5` parameter. + + .. versionchanged:: 3.1 + Indexes are only ensured on the first write to the DB. + + .. versionchanged:: 3.0 + `database` must use an acknowledged + :attr:`~pymongo.database.Database.write_concern` + + .. seealso:: The MongoDB documentation on `gridfs `_. + """ + if not isinstance(database, Database): + raise TypeError(f"database must be an instance of Database, not {type(database)}") + + database = _clear_entity_type_registry(database) + + if not database.write_concern.acknowledged: + raise ConfigurationError("database must use acknowledged write_concern") + + self._collection = database[collection] + self._files = self._collection.files + self._chunks = self._collection.chunks + + def new_file(self, **kwargs: Any) -> GridIn: + """Create a new file in GridFS. + + Returns a new :class:`~gridfs.grid_file.GridIn` instance to + which data can be written. Any keyword arguments will be + passed through to :meth:`~gridfs.grid_file.GridIn`. + + If the ``"_id"`` of the file is manually specified, it must + not already exist in GridFS. Otherwise + :class:`~gridfs.errors.FileExists` is raised. + + :param kwargs: keyword arguments for file creation + """ + return GridIn(self._collection, **kwargs) + + def put(self, data: Any, **kwargs: Any) -> Any: + """Put data in GridFS as a new file. + + Equivalent to doing:: + + with fs.new_file(**kwargs) as f: + f.write(data) + + `data` can be either an instance of :class:`bytes` or a file-like + object providing a :meth:`read` method. If an `encoding` keyword + argument is passed, `data` can also be a :class:`str` instance, which + will be encoded as `encoding` before being written. Any keyword + arguments will be passed through to the created file - see + :meth:`~gridfs.grid_file.GridIn` for possible arguments. Returns the + ``"_id"`` of the created file. + + If the ``"_id"`` of the file is manually specified, it must + not already exist in GridFS. Otherwise + :class:`~gridfs.errors.FileExists` is raised. + + :param data: data to be written as a file. + :param kwargs: keyword arguments for file creation + + .. versionchanged:: 3.0 + w=0 writes to GridFS are now prohibited. + """ + with GridIn(self._collection, **kwargs) as grid_file: + grid_file.write(data) + return grid_file._id + + def get(self, file_id: Any, session: Optional[ClientSession] = None) -> GridOut: + """Get a file from GridFS by ``"_id"``. + + Returns an instance of :class:`~gridfs.grid_file.GridOut`, + which provides a file-like interface for reading. + + :param file_id: ``"_id"`` of the file to get + :param session: a + :class:`~pymongo.client_session.ClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + gout = GridOut(self._collection, file_id, session=session) + + # Raise NoFile now, instead of on first attribute access. + gout.open() + return gout + + def get_version( + self, + filename: Optional[str] = None, + version: Optional[int] = -1, + session: Optional[ClientSession] = None, + **kwargs: Any, + ) -> GridOut: + """Get a file from GridFS by ``"filename"`` or metadata fields. + + Returns a version of the file in GridFS whose filename matches + `filename` and whose metadata fields match the supplied keyword + arguments, as an instance of :class:`~gridfs.grid_file.GridOut`. + + Version numbering is a convenience atop the GridFS API provided + by MongoDB. If more than one file matches the query (either by + `filename` alone, by metadata fields, or by a combination of + both), then version ``-1`` will be the most recently uploaded + matching file, ``-2`` the second most recently + uploaded, etc. Version ``0`` will be the first version + uploaded, ``1`` the second version, etc. So if three versions + have been uploaded, then version ``0`` is the same as version + ``-3``, version ``1`` is the same as version ``-2``, and + version ``2`` is the same as version ``-1``. + + Raises :class:`~gridfs.errors.NoFile` if no such version of + that file exists. + + :param filename: ``"filename"`` of the file to get, or `None` + :param version: version of the file to get (defaults + to -1, the most recent version uploaded) + :param session: a + :class:`~pymongo.client_session.ClientSession` + :param kwargs: find files by custom metadata. + + .. versionchanged:: 3.6 + Added ``session`` parameter. + + .. versionchanged:: 3.1 + ``get_version`` no longer ensures indexes. + """ + query = kwargs + if filename is not None: + query["filename"] = filename + + _disallow_transactions(session) + cursor = self._files.find(query, session=session) + if version is None: + version = -1 + if version < 0: + skip = abs(version) - 1 + cursor.limit(-1).skip(skip).sort("uploadDate", DESCENDING) + else: + cursor.limit(-1).skip(version).sort("uploadDate", ASCENDING) + try: + doc = next(cursor) + return GridOut(self._collection, file_document=doc, session=session) + except StopIteration: + raise NoFile("no version %d for filename %r" % (version, filename)) from None + + def get_last_version( + self, + filename: Optional[str] = None, + session: Optional[ClientSession] = None, + **kwargs: Any, + ) -> GridOut: + """Get the most recent version of a file in GridFS by ``"filename"`` + or metadata fields. + + Equivalent to calling :meth:`get_version` with the default + `version` (``-1``). + + :param filename: ``"filename"`` of the file to get, or `None` + :param session: a + :class:`~pymongo.client_session.ClientSession` + :param kwargs: find files by custom metadata. + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + return self.get_version(filename=filename, session=session, **kwargs) + + # TODO add optional safe mode for chunk removal? + def delete(self, file_id: Any, session: Optional[ClientSession] = None) -> None: + """Delete a file from GridFS by ``"_id"``. + + Deletes all data belonging to the file with ``"_id"``: + `file_id`. + + .. warning:: Any processes/threads reading from the file while + this method is executing will likely see an invalid/corrupt + file. Care should be taken to avoid concurrent reads to a file + while it is being deleted. + + .. note:: Deletes of non-existent files are considered successful + since the end result is the same: no file with that _id remains. + + :param file_id: ``"_id"`` of the file to delete + :param session: a + :class:`~pymongo.client_session.ClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + + .. versionchanged:: 3.1 + ``delete`` no longer ensures indexes. + """ + _disallow_transactions(session) + self._files.delete_one({"_id": file_id}, session=session) + self._chunks.delete_many({"files_id": file_id}, session=session) + + def list(self, session: Optional[ClientSession] = None) -> list[str]: + """List the names of all files stored in this instance of + :class:`GridFS`. + + :param session: a + :class:`~pymongo.client_session.ClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + + .. versionchanged:: 3.1 + ``list`` no longer ensures indexes. + """ + _disallow_transactions(session) + # With an index, distinct includes documents with no filename + # as None. + return [ + name for name in self._files.distinct("filename", session=session) if name is not None + ] + + def find_one( + self, + filter: Optional[Any] = None, + session: Optional[ClientSession] = None, + *args: Any, + **kwargs: Any, + ) -> Optional[GridOut]: + """Get a single file from gridfs. + + All arguments to :meth:`find` are also valid arguments for + :meth:`find_one`, although any `limit` argument will be + ignored. Returns a single :class:`~gridfs.grid_file.GridOut`, + or ``None`` if no matching file is found. For example: + + .. code-block: python + + file = fs.find_one({"filename": "lisa.txt"}) + + :param filter: a dictionary specifying + the query to be performing OR any other type to be used as + the value for a query for ``"_id"`` in the file collection. + :param args: any additional positional arguments are + the same as the arguments to :meth:`find`. + :param session: a + :class:`~pymongo.client_session.ClientSession` + :param kwargs: any additional keyword arguments + are the same as the arguments to :meth:`find`. + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + if filter is not None and not isinstance(filter, abc.Mapping): + filter = {"_id": filter} + + _disallow_transactions(session) + for f in self.find(filter, *args, session=session, **kwargs): + return f + + return None + + def find(self, *args: Any, **kwargs: Any) -> GridOutCursor: + """Query GridFS for files. + + Returns a cursor that iterates across files matching + arbitrary queries on the files collection. Can be combined + with other modifiers for additional control. For example:: + + for grid_out in fs.find({"filename": "lisa.txt"}, + no_cursor_timeout=True): + data = grid_out.read() + + would iterate through all versions of "lisa.txt" stored in GridFS. + Note that setting no_cursor_timeout to True may be important to + prevent the cursor from timing out during long multi-file processing + work. + + As another example, the call:: + + most_recent_three = fs.find().sort("uploadDate", -1).limit(3) + + would return a cursor to the three most recently uploaded files + in GridFS. + + Follows a similar interface to + :meth:`~pymongo.collection.Collection.find` + in :class:`~pymongo.collection.Collection`. + + If a :class:`~pymongo.client_session.ClientSession` is passed to + :meth:`find`, all returned :class:`~gridfs.grid_file.GridOut` instances + are associated with that session. + + :param filter: A query document that selects which files + to include in the result set. Can be an empty document to include + all files. + :param skip: the number of files to omit (from + the start of the result set) when returning the results + :param limit: the maximum number of results to + return + :param no_cursor_timeout: if False (the default), any + returned cursor is closed by the server after 10 minutes of + inactivity. If set to True, the returned cursor will never + time out on the server. Care should be taken to ensure that + cursors with no_cursor_timeout turned on are properly closed. + :param sort: a list of (key, direction) pairs + specifying the sort order for this query. See + :meth:`~pymongo.cursor.Cursor.sort` for details. + + Raises :class:`TypeError` if any of the arguments are of + improper type. Returns an instance of + :class:`~gridfs.grid_file.GridOutCursor` + corresponding to this query. + + .. versionchanged:: 3.0 + Removed the read_preference, tag_sets, and + secondary_acceptable_latency_ms options. + .. versionadded:: 2.7 + .. seealso:: The MongoDB documentation on `find `_. + """ + return GridOutCursor(self._collection, *args, **kwargs) + + def exists( + self, + document_or_id: Optional[Any] = None, + session: Optional[ClientSession] = None, + **kwargs: Any, + ) -> bool: + """Check if a file exists in this instance of :class:`GridFS`. + + The file to check for can be specified by the value of its + ``_id`` key, or by passing in a query document. A query + document can be passed in as dictionary, or by using keyword + arguments. Thus, the following three calls are equivalent: + + >>> fs.exists(file_id) + >>> fs.exists({"_id": file_id}) + >>> fs.exists(_id=file_id) + + As are the following two calls: + + >>> fs.exists({"filename": "mike.txt"}) + >>> fs.exists(filename="mike.txt") + + And the following two: + + >>> fs.exists({"foo": {"$gt": 12}}) + >>> fs.exists(foo={"$gt": 12}) + + Returns ``True`` if a matching file exists, ``False`` + otherwise. Calls to :meth:`exists` will not automatically + create appropriate indexes; application developers should be + sure to create indexes if needed and as appropriate. + + :param document_or_id: query document, or _id of the + document to check for + :param session: a + :class:`~pymongo.client_session.ClientSession` + :param kwargs: keyword arguments are used as a + query document, if they're present. + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + _disallow_transactions(session) + if kwargs: + f = self._files.find_one(kwargs, ["_id"], session=session) + else: + f = self._files.find_one(document_or_id, ["_id"], session=session) + + return f is not None + + +class GridFSBucket: + """An instance of GridFS on top of a single Database.""" + + def __init__( + self, + db: Database, + bucket_name: str = "fs", + chunk_size_bytes: int = DEFAULT_CHUNK_SIZE, + write_concern: Optional[WriteConcern] = None, + read_preference: Optional[_ServerMode] = None, + ) -> None: + """Create a new instance of :class:`GridFSBucket`. + + Raises :exc:`TypeError` if `database` is not an instance of + :class:`~pymongo.database.Database`. + + Raises :exc:`~pymongo.errors.ConfigurationError` if `write_concern` + is not acknowledged. + + :param database: database to use. + :param bucket_name: The name of the bucket. Defaults to 'fs'. + :param chunk_size_bytes: The chunk size in bytes. Defaults + to 255KB. + :param write_concern: The + :class:`~pymongo.write_concern.WriteConcern` to use. If ``None`` + (the default) db.write_concern is used. + :param read_preference: The read preference to use. If + ``None`` (the default) db.read_preference is used. + + .. versionchanged:: 4.0 + Removed the `disable_md5` parameter. See + :ref:`removed-gridfs-checksum` for details. + + .. versionchanged:: 3.11 + Running a GridFSBucket operation in a transaction now always raises + an error. GridFSBucket does not support multi-document transactions. + + .. versionchanged:: 3.7 + Added the `disable_md5` parameter. + + .. versionadded:: 3.1 + + .. seealso:: The MongoDB documentation on `gridfs `_. + """ + if not isinstance(db, Database): + raise TypeError(f"database must be an instance of Database, not {type(db)}") + + db = _clear_entity_type_registry(db) + + wtc = write_concern if write_concern is not None else db.write_concern + if not wtc.acknowledged: + raise ConfigurationError("write concern must be acknowledged") + + self._bucket_name = bucket_name + self._collection = db[bucket_name] + self._chunks: Collection = self._collection.chunks.with_options( + write_concern=write_concern, read_preference=read_preference + ) + + self._files: Collection = self._collection.files.with_options( + write_concern=write_concern, read_preference=read_preference + ) + + self._chunk_size_bytes = chunk_size_bytes + self._timeout = db.client.options.timeout + + def open_upload_stream( + self, + filename: str, + chunk_size_bytes: Optional[int] = None, + metadata: Optional[Mapping[str, Any]] = None, + session: Optional[ClientSession] = None, + ) -> GridIn: + """Opens a Stream that the application can write the contents of the + file to. + + The user must specify the filename, and can choose to add any + additional information in the metadata field of the file document or + modify the chunk size. + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + with fs.open_upload_stream( + "test_file", chunk_size_bytes=4, + metadata={"contentType": "text/plain"}) as grid_in: + grid_in.write("data I want to store!") + # uploaded on close + + Returns an instance of :class:`~gridfs.grid_file.GridIn`. + + Raises :exc:`~gridfs.errors.NoFile` if no such version of + that file exists. + Raises :exc:`~ValueError` if `filename` is not a string. + + :param filename: The name of the file to upload. + :param chunk_size_bytes` (options): The number of bytes per chunk of this + file. Defaults to the chunk_size_bytes in :class:`GridFSBucket`. + :param metadata: User data for the 'metadata' field of the + files collection document. If not provided the metadata field will + be omitted from the files collection document. + :param session: a + :class:`~pymongo.client_session.ClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + validate_string("filename", filename) + + opts = { + "filename": filename, + "chunk_size": ( + chunk_size_bytes if chunk_size_bytes is not None else self._chunk_size_bytes + ), + } + if metadata is not None: + opts["metadata"] = metadata + + return GridIn(self._collection, session=session, **opts) + + def open_upload_stream_with_id( + self, + file_id: Any, + filename: str, + chunk_size_bytes: Optional[int] = None, + metadata: Optional[Mapping[str, Any]] = None, + session: Optional[ClientSession] = None, + ) -> GridIn: + """Opens a Stream that the application can write the contents of the + file to. + + The user must specify the file id and filename, and can choose to add + any additional information in the metadata field of the file document + or modify the chunk size. + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + with fs.open_upload_stream_with_id( + ObjectId(), + "test_file", + chunk_size_bytes=4, + metadata={"contentType": "text/plain"}) as grid_in: + grid_in.write("data I want to store!") + # uploaded on close + + Returns an instance of :class:`~gridfs.grid_file.GridIn`. + + Raises :exc:`~gridfs.errors.NoFile` if no such version of + that file exists. + Raises :exc:`~ValueError` if `filename` is not a string. + + :param file_id: The id to use for this file. The id must not have + already been used for another file. + :param filename: The name of the file to upload. + :param chunk_size_bytes` (options): The number of bytes per chunk of this + file. Defaults to the chunk_size_bytes in :class:`GridFSBucket`. + :param metadata: User data for the 'metadata' field of the + files collection document. If not provided the metadata field will + be omitted from the files collection document. + :param session: a + :class:`~pymongo.client_session.ClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + validate_string("filename", filename) + + opts = { + "_id": file_id, + "filename": filename, + "chunk_size": ( + chunk_size_bytes if chunk_size_bytes is not None else self._chunk_size_bytes + ), + } + if metadata is not None: + opts["metadata"] = metadata + + return GridIn(self._collection, session=session, **opts) + + @_csot.apply + def upload_from_stream( + self, + filename: str, + source: Any, + chunk_size_bytes: Optional[int] = None, + metadata: Optional[Mapping[str, Any]] = None, + session: Optional[ClientSession] = None, + ) -> ObjectId: + """Uploads a user file to a GridFS bucket. + + Reads the contents of the user file from `source` and uploads + it to the file `filename`. Source can be a string or file-like object. + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + file_id = fs.upload_from_stream( + "test_file", + "data I want to store!", + chunk_size_bytes=4, + metadata={"contentType": "text/plain"}) + + Returns the _id of the uploaded file. + + Raises :exc:`~gridfs.errors.NoFile` if no such version of + that file exists. + Raises :exc:`~ValueError` if `filename` is not a string. + + :param filename: The name of the file to upload. + :param source: The source stream of the content to be uploaded. Must be + a file-like object that implements :meth:`read` or a string. + :param chunk_size_bytes` (options): The number of bytes per chunk of this + file. Defaults to the chunk_size_bytes of :class:`GridFSBucket`. + :param metadata: User data for the 'metadata' field of the + files collection document. If not provided the metadata field will + be omitted from the files collection document. + :param session: a + :class:`~pymongo.client_session.ClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + with self.open_upload_stream(filename, chunk_size_bytes, metadata, session=session) as gin: + gin.write(source) + + return cast(ObjectId, gin._id) + + @_csot.apply + def upload_from_stream_with_id( + self, + file_id: Any, + filename: str, + source: Any, + chunk_size_bytes: Optional[int] = None, + metadata: Optional[Mapping[str, Any]] = None, + session: Optional[ClientSession] = None, + ) -> None: + """Uploads a user file to a GridFS bucket with a custom file id. + + Reads the contents of the user file from `source` and uploads + it to the file `filename`. Source can be a string or file-like object. + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + file_id = fs.upload_from_stream( + ObjectId(), + "test_file", + "data I want to store!", + chunk_size_bytes=4, + metadata={"contentType": "text/plain"}) + + Raises :exc:`~gridfs.errors.NoFile` if no such version of + that file exists. + Raises :exc:`~ValueError` if `filename` is not a string. + + :param file_id: The id to use for this file. The id must not have + already been used for another file. + :param filename: The name of the file to upload. + :param source: The source stream of the content to be uploaded. Must be + a file-like object that implements :meth:`read` or a string. + :param chunk_size_bytes` (options): The number of bytes per chunk of this + file. Defaults to the chunk_size_bytes of :class:`GridFSBucket`. + :param metadata: User data for the 'metadata' field of the + files collection document. If not provided the metadata field will + be omitted from the files collection document. + :param session: a + :class:`~pymongo.client_session.ClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + with self.open_upload_stream_with_id( + file_id, filename, chunk_size_bytes, metadata, session=session + ) as gin: + gin.write(source) + + def open_download_stream( + self, file_id: Any, session: Optional[ClientSession] = None + ) -> GridOut: + """Opens a Stream from which the application can read the contents of + the stored file specified by file_id. + + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + # get _id of file to read. + file_id = fs.upload_from_stream("test_file", "data I want to store!") + grid_out = fs.open_download_stream(file_id) + contents = grid_out.read() + + Returns an instance of :class:`~gridfs.grid_file.GridOut`. + + Raises :exc:`~gridfs.errors.NoFile` if no file with file_id exists. + + :param file_id: The _id of the file to be downloaded. + :param session: a + :class:`~pymongo.client_session.ClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + gout = GridOut(self._collection, file_id, session=session) + + # Raise NoFile now, instead of on first attribute access. + gout.open() + return gout + + @_csot.apply + def download_to_stream( + self, file_id: Any, destination: Any, session: Optional[ClientSession] = None + ) -> None: + """Downloads the contents of the stored file specified by file_id and + writes the contents to `destination`. + + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + # Get _id of file to read + file_id = fs.upload_from_stream("test_file", "data I want to store!") + # Get file to write to + file = open('myfile','wb+') + fs.download_to_stream(file_id, file) + file.seek(0) + contents = file.read() + + Raises :exc:`~gridfs.errors.NoFile` if no file with file_id exists. + + :param file_id: The _id of the file to be downloaded. + :param destination: a file-like object implementing :meth:`write`. + :param session: a + :class:`~pymongo.client_session.ClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + with self.open_download_stream(file_id, session=session) as gout: + while True: + chunk = gout.readchunk() + if not len(chunk): + break + destination.write(chunk) + + @_csot.apply + def delete(self, file_id: Any, session: Optional[ClientSession] = None) -> None: + """Given an file_id, delete this stored file's files collection document + and associated chunks from a GridFS bucket. + + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + # Get _id of file to delete + file_id = fs.upload_from_stream("test_file", "data I want to store!") + fs.delete(file_id) + + Raises :exc:`~gridfs.errors.NoFile` if no file with file_id exists. + + :param file_id: The _id of the file to be deleted. + :param session: a + :class:`~pymongo.client_session.ClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + _disallow_transactions(session) + res = self._files.delete_one({"_id": file_id}, session=session) + self._chunks.delete_many({"files_id": file_id}, session=session) + if not res.deleted_count: + raise NoFile("no file could be deleted because none matched %s" % file_id) + + @_csot.apply + def delete_by_name(self, filename: str, session: Optional[ClientSession] = None) -> None: + """Given a filename, delete this stored file's files collection document(s) + and associated chunks from a GridFS bucket. + + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + fs.upload_from_stream("test_file", "data I want to store!") + fs.delete_by_name("test_file") + + Raises :exc:`~gridfs.errors.NoFile` if no file with the given filename exists. + + :param filename: The name of the file to be deleted. + :param session: a :class:`~pymongo.client_session.ClientSession` + + .. versionadded:: 4.12 + """ + _disallow_transactions(session) + files = self._files.find({"filename": filename}, {"_id": 1}, session=session) + file_ids = [file["_id"] for file in files] + res = self._files.delete_many({"_id": {"$in": file_ids}}, session=session) + self._chunks.delete_many({"files_id": {"$in": file_ids}}, session=session) + if not res.deleted_count: + raise NoFile(f"no file could be deleted because none matched filename {filename!r}") + + def find(self, *args: Any, **kwargs: Any) -> GridOutCursor: + """Find and return the files collection documents that match ``filter`` + + Returns a cursor that iterates across files matching + arbitrary queries on the files collection. Can be combined + with other modifiers for additional control. + + For example:: + + for grid_data in fs.find({"filename": "lisa.txt"}, + no_cursor_timeout=True): + data = grid_data.read() + + would iterate through all versions of "lisa.txt" stored in GridFS. + Note that setting no_cursor_timeout to True may be important to + prevent the cursor from timing out during long multi-file processing + work. + + As another example, the call:: + + most_recent_three = fs.find().sort("uploadDate", -1).limit(3) + + would return a cursor to the three most recently uploaded files + in GridFS. + + Follows a similar interface to + :meth:`~pymongo.collection.Collection.find` + in :class:`~pymongo.collection.Collection`. + + If a :class:`~pymongo.client_session.ClientSession` is passed to + :meth:`find`, all returned :class:`~gridfs.grid_file.GridOut` instances + are associated with that session. + + :param filter: Search query. + :param batch_size: The number of documents to return per + batch. + :param limit: The maximum number of documents to return. + :param no_cursor_timeout: The server normally times out idle + cursors after an inactivity period (10 minutes) to prevent excess + memory use. Set this option to True prevent that. + :param skip: The number of documents to skip before + returning. + :param sort: The order by which to sort results. Defaults to + None. + """ + return GridOutCursor(self._collection, *args, **kwargs) + + def open_download_stream_by_name( + self, filename: str, revision: int = -1, session: Optional[ClientSession] = None + ) -> GridOut: + """Opens a Stream from which the application can read the contents of + `filename` and optional `revision`. + + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + grid_out = fs.open_download_stream_by_name("test_file") + contents = grid_out.read() + + Returns an instance of :class:`~gridfs.grid_file.GridOut`. + + Raises :exc:`~gridfs.errors.NoFile` if no such version of + that file exists. + + Raises :exc:`~ValueError` filename is not a string. + + :param filename: The name of the file to read from. + :param revision: Which revision (documents with the same + filename and different uploadDate) of the file to retrieve. + Defaults to -1 (the most recent revision). + :param session: a + :class:`~pymongo.client_session.ClientSession` + + :Note: Revision numbers are defined as follows: + + - 0 = the original stored file + - 1 = the first revision + - 2 = the second revision + - etc... + - -2 = the second most recent revision + - -1 = the most recent revision + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + validate_string("filename", filename) + query = {"filename": filename} + _disallow_transactions(session) + cursor = self._files.find(query, session=session) + if revision < 0: + skip = abs(revision) - 1 + cursor.limit(-1).skip(skip).sort("uploadDate", DESCENDING) + else: + cursor.limit(-1).skip(revision).sort("uploadDate", ASCENDING) + try: + grid_file = next(cursor) + return GridOut(self._collection, file_document=grid_file, session=session) + except StopIteration: + raise NoFile("no version %d for filename %r" % (revision, filename)) from None + + @_csot.apply + def download_to_stream_by_name( + self, + filename: str, + destination: Any, + revision: int = -1, + session: Optional[ClientSession] = None, + ) -> None: + """Write the contents of `filename` (with optional `revision`) to + `destination`. + + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + # Get file to write to + file = open('myfile','wb') + fs.download_to_stream_by_name("test_file", file) + + Raises :exc:`~gridfs.errors.NoFile` if no such version of + that file exists. + + Raises :exc:`~ValueError` if `filename` is not a string. + + :param filename: The name of the file to read from. + :param destination: A file-like object that implements :meth:`write`. + :param revision: Which revision (documents with the same + filename and different uploadDate) of the file to retrieve. + Defaults to -1 (the most recent revision). + :param session: a + :class:`~pymongo.client_session.ClientSession` + + :Note: Revision numbers are defined as follows: + + - 0 = the original stored file + - 1 = the first revision + - 2 = the second revision + - etc... + - -2 = the second most recent revision + - -1 = the most recent revision + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + with self.open_download_stream_by_name(filename, revision, session=session) as gout: + while True: + chunk = gout.readchunk() + if not len(chunk): + break + destination.write(chunk) + + def rename( + self, file_id: Any, new_filename: str, session: Optional[ClientSession] = None + ) -> None: + """Renames the stored file with the specified file_id. + + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + # Get _id of file to rename + file_id = fs.upload_from_stream("test_file", "data I want to store!") + fs.rename(file_id, "new_test_name") + + Raises :exc:`~gridfs.errors.NoFile` if no file with file_id exists. + + :param file_id: The _id of the file to be renamed. + :param new_filename: The new name of the file. + :param session: a + :class:`~pymongo.client_session.ClientSession` + + .. versionchanged:: 3.6 + Added ``session`` parameter. + """ + _disallow_transactions(session) + result = self._files.update_one( + {"_id": file_id}, {"$set": {"filename": new_filename}}, session=session + ) + if not result.matched_count: + raise NoFile( + "no files could be renamed %r because none " + "matched file_id %i" % (new_filename, file_id) + ) + + def rename_by_name( + self, filename: str, new_filename: str, session: Optional[ClientSession] = None + ) -> None: + """Renames the stored file with the specified filename. + + For example:: + + my_db = MongoClient().test + fs = GridFSBucket(my_db) + fs.upload_from_stream("test_file", "data I want to store!") + fs.rename_by_name("test_file", "new_test_name") + + Raises :exc:`~gridfs.errors.NoFile` if no file with the given filename exists. + + :param filename: The filename of the file to be renamed. + :param new_filename: The new name of the file. + :param session: a :class:`~pymongo.client_session.ClientSession` + + .. versionadded:: 4.12 + """ + _disallow_transactions(session) + result = self._files.update_many( + {"filename": filename}, {"$set": {"filename": new_filename}}, session=session + ) + if not result.matched_count: + raise NoFile( + f"no files could be renamed {new_filename!r} because none matched filename {filename!r}" + ) + + +class GridIn: + """Class to write data to GridFS.""" + + def __init__( + self, + root_collection: Collection, + session: Optional[ClientSession] = None, + **kwargs: Any, + ) -> None: + """Write a file to GridFS + + Application developers should generally not need to + instantiate this class directly - instead see the methods + provided by :class:`~gridfs.GridFS`. + + Raises :class:`TypeError` if `root_collection` is not an + instance of :class:`~pymongo.collection.Collection`. + + Any of the file level options specified in the `GridFS Spec + `_ may be passed as + keyword arguments. Any additional keyword arguments will be + set as additional fields on the file document. Valid keyword + arguments include: + + - ``"_id"``: unique ID for this file (default: + :class:`~bson.objectid.ObjectId`) - this ``"_id"`` must + not have already been used for another file + + - ``"filename"``: human name for the file + + - ``"contentType"`` or ``"content_type"``: valid mime-type + for the file + + - ``"chunkSize"`` or ``"chunk_size"``: size of each of the + chunks, in bytes (default: 255 kb) + + - ``"encoding"``: encoding used for this file. Any :class:`str` + that is written to the file will be converted to :class:`bytes`. + + :param root_collection: root collection to write to + :param session: a + :class:`~pymongo.client_session.ClientSession` to use for all + commands + :param kwargs: Any: file level options (see above) + + .. versionchanged:: 4.0 + Removed the `disable_md5` parameter. See + :ref:`removed-gridfs-checksum` for details. + + .. versionchanged:: 3.7 + Added the `disable_md5` parameter. + + .. versionchanged:: 3.6 + Added ``session`` parameter. + + .. versionchanged:: 3.0 + `root_collection` must use an acknowledged + :attr:`~pymongo.collection.Collection.write_concern` + """ + if not isinstance(root_collection, Collection): + raise TypeError( + f"root_collection must be an instance of Collection, not {type(root_collection)}" + ) + + if not root_collection.write_concern.acknowledged: + raise ConfigurationError("root_collection must use acknowledged write_concern") + _disallow_transactions(session) + + # Handle alternative naming + if "content_type" in kwargs: + kwargs["contentType"] = kwargs.pop("content_type") + if "chunk_size" in kwargs: + kwargs["chunkSize"] = kwargs.pop("chunk_size") + + coll = _clear_entity_type_registry(root_collection, read_preference=ReadPreference.PRIMARY) + + # Defaults + kwargs["_id"] = kwargs.get("_id", ObjectId()) + kwargs["chunkSize"] = kwargs.get("chunkSize", DEFAULT_CHUNK_SIZE) + object.__setattr__(self, "_session", session) + object.__setattr__(self, "_coll", coll) + object.__setattr__(self, "_chunks", coll.chunks) + object.__setattr__(self, "_file", kwargs) + object.__setattr__(self, "_buffer", io.BytesIO()) + object.__setattr__(self, "_position", 0) + object.__setattr__(self, "_chunk_number", 0) + object.__setattr__(self, "_closed", False) + object.__setattr__(self, "_ensured_index", False) + object.__setattr__(self, "_buffered_docs", []) + object.__setattr__(self, "_buffered_docs_size", 0) + + def _create_index(self, collection: Collection, index_key: Any, unique: bool) -> None: + doc = collection.find_one(projection={"_id": 1}, session=self._session) + if doc is None: + try: + index_keys = [ + index_spec["key"] + for index_spec in collection.list_indexes(session=self._session) + ] + except OperationFailure: + index_keys = [] + if index_key not in index_keys: + collection.create_index(index_key.items(), unique=unique, session=self._session) + + def _ensure_indexes(self) -> None: + if not object.__getattribute__(self, "_ensured_index"): + _disallow_transactions(self._session) + self._create_index(self._coll.files, _F_INDEX, False) + self._create_index(self._coll.chunks, _C_INDEX, True) + object.__setattr__(self, "_ensured_index", True) + + def abort(self) -> None: + """Remove all chunks/files that may have been uploaded and close.""" + self._coll.chunks.delete_many({"files_id": self._file["_id"]}, session=self._session) + self._coll.files.delete_one({"_id": self._file["_id"]}, session=self._session) + object.__setattr__(self, "_closed", True) + + @property + def closed(self) -> bool: + """Is this file closed?""" + return self._closed + + _id: Any = _grid_in_property("_id", "The ``'_id'`` value for this file.", read_only=True) + filename: Optional[str] = _grid_in_property("filename", "Name of this file.") + name: Optional[str] = _grid_in_property("filename", "Alias for `filename`.") + content_type: Optional[str] = _grid_in_property( + "contentType", "DEPRECATED, will be removed in PyMongo 5.0. Mime-type for this file." + ) + length: int = _grid_in_property("length", "Length (in bytes) of this file.", closed_only=True) + chunk_size: int = _grid_in_property("chunkSize", "Chunk size for this file.", read_only=True) + upload_date: datetime.datetime = _grid_in_property( + "uploadDate", "Date that this file was uploaded.", closed_only=True + ) + md5: Optional[str] = _grid_in_property( + "md5", + "DEPRECATED, will be removed in PyMongo 5.0. MD5 of the contents of this file if an md5 sum was created.", + closed_only=True, + ) + + _buffer: io.BytesIO + _closed: bool + _buffered_docs: list[dict[str, Any]] + _buffered_docs_size: int + + def __getattr__(self, name: str) -> Any: + if name == "_coll": + return object.__getattribute__(self, name) + elif name in self._file: + return self._file[name] + raise AttributeError("GridIn object has no attribute '%s'" % name) + + def __setattr__(self, name: str, value: Any) -> None: + # For properties of this instance like _buffer, or descriptors set on + # the class like filename, use regular __setattr__ + if name in self.__dict__ or name in self.__class__.__dict__: + object.__setattr__(self, name, value) + else: + # All other attributes are part of the document in db.fs.files. + # Store them to be sent to server on close() or if closed, send + # them now. + self._file[name] = value + if self._closed: + if _IS_SYNC: + self._coll.files.update_one({"_id": self._file["_id"]}, {"$set": {name: value}}) + else: + raise AttributeError( + "GridIn does not support __setattr__ after being closed(). Set the attribute before closing the file or use GridIn.set() instead" + ) + + def set(self, name: str, value: Any) -> None: + self._file[name] = value + if self._closed: + self._coll.files.update_one({"_id": self._file["_id"]}, {"$set": {name: value}}) + + def _flush_data(self, data: Any, force: bool = False) -> None: + """Flush `data` to a chunk.""" + self._ensure_indexes() + assert len(data) <= self.chunk_size + if data: + self._buffered_docs.append( + {"files_id": self._file["_id"], "n": self._chunk_number, "data": data} + ) + self._buffered_docs_size += len(data) + _CHUNK_OVERHEAD + if not self._buffered_docs: + return + # Limit to 100,000 chunks or 32MB (+1 chunk) of data. + if ( + force + or self._buffered_docs_size >= _UPLOAD_BUFFER_SIZE + or len(self._buffered_docs) >= _UPLOAD_BUFFER_CHUNKS + ): + try: + self._chunks.insert_many(self._buffered_docs, session=self._session) + except BulkWriteError as exc: + # For backwards compatibility, raise an insert_one style exception. + write_errors = exc.details["writeErrors"] + for err in write_errors: + if err.get("code") in (11000, 11001, 12582): # Duplicate key errors + self._raise_file_exists(self._file["_id"]) + result = {"writeErrors": write_errors} + wces = exc.details["writeConcernErrors"] + if wces: + result["writeConcernError"] = wces[-1] + _check_write_command_response(result) + raise + self._buffered_docs = [] + self._buffered_docs_size = 0 + self._chunk_number += 1 + self._position += len(data) + + def _flush_buffer(self, force: bool = False) -> None: + """Flush the buffer contents out to a chunk.""" + self._flush_data(self._buffer.getvalue(), force=force) + self._buffer.close() + self._buffer = io.BytesIO() + + def _flush(self) -> Any: + """Flush the file to the database.""" + try: + self._flush_buffer(force=True) + # The GridFS spec says length SHOULD be an Int64. + self._file["length"] = Int64(self._position) + self._file["uploadDate"] = datetime.datetime.now(tz=datetime.timezone.utc) + + return self._coll.files.insert_one(self._file, session=self._session) + except DuplicateKeyError: + self._raise_file_exists(self._id) + + def _raise_file_exists(self, file_id: Any) -> NoReturn: + """Raise a FileExists exception for the given file_id.""" + raise FileExists("file with _id %r already exists" % file_id) + + def close(self) -> None: + """Flush the file and close it. + + A closed file cannot be written any more. Calling + :meth:`close` more than once is allowed. + """ + if not self._closed: + self._flush() + object.__setattr__(self, "_closed", True) + + def read(self, size: int = -1) -> NoReturn: + raise io.UnsupportedOperation("read") + + def readable(self) -> bool: + return False + + def seekable(self) -> bool: + return False + + def write(self, data: Any) -> None: + """Write data to the file. There is no return value. + + `data` can be either a string of bytes or a file-like object + (implementing :meth:`read`). If the file has an + :attr:`encoding` attribute, `data` can also be a + :class:`str` instance, which will be encoded as + :attr:`encoding` before being written. + + Due to buffering, the data may not actually be written to the + database until the :meth:`close` method is called. Raises + :class:`ValueError` if this file is already closed. Raises + :class:`TypeError` if `data` is not an instance of + :class:`bytes`, a file-like object, or an instance of :class:`str`. + Unicode data is only allowed if the file has an :attr:`encoding` + attribute. + + :param data: string of bytes or file-like object to be written + to the file + """ + if self._closed: + raise ValueError("cannot write to a closed file") + + try: + # file-like + read = data.read + except AttributeError: + # string + if not isinstance(data, (str, bytes)): + raise TypeError("can only write strings or file-like objects") from None + if isinstance(data, str): + try: + data = data.encode(self.encoding) + except AttributeError: + raise TypeError( + "must specify an encoding for file in order to write str" + ) from None + read = io.BytesIO(data).read + + if inspect.iscoroutinefunction(read): + self._write_async(read) + else: + if self._buffer.tell() > 0: + # Make sure to flush only when _buffer is complete + space = self.chunk_size - self._buffer.tell() + if space: + try: + to_write = read(space) + except BaseException: + self.abort() + raise + self._buffer.write(to_write) + if len(to_write) < space: + return # EOF or incomplete + self._flush_buffer() + to_write = read(self.chunk_size) + while to_write and len(to_write) == self.chunk_size: + self._flush_data(to_write) + to_write = read(self.chunk_size) + self._buffer.write(to_write) + + def _write_async(self, read: Any) -> None: + if self._buffer.tell() > 0: + # Make sure to flush only when _buffer is complete + space = self.chunk_size - self._buffer.tell() + if space: + try: + to_write = read(space) + except BaseException: + self.abort() + raise + self._buffer.write(to_write) + if len(to_write) < space: + return # EOF or incomplete + self._flush_buffer() + to_write = read(self.chunk_size) + while to_write and len(to_write) == self.chunk_size: + self._flush_data(to_write) + to_write = read(self.chunk_size) + self._buffer.write(to_write) + + def writelines(self, sequence: Iterable[Any]) -> None: + """Write a sequence of strings to the file. + + Does not add separators. + """ + for line in sequence: + self.write(line) + + def writeable(self) -> bool: + return True + + def __enter__(self) -> GridIn: + """Support for the context manager protocol.""" + return self + + def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> Any: + """Support for the context manager protocol. + + Close the file if no exceptions occur and allow exceptions to propagate. + """ + if exc_type is None: + # No exceptions happened. + self.close() + else: + # Something happened, at minimum mark as closed. + object.__setattr__(self, "_closed", True) + + # propagate exceptions + return False + + +GRIDOUT_BASE_CLASS = io.IOBase if _IS_SYNC else object # type: Any + + +class GridOut(GRIDOUT_BASE_CLASS): # type: ignore + + """Class to read data out of GridFS.""" + + def __init__( + self, + root_collection: Collection, + file_id: Optional[int] = None, + file_document: Optional[Any] = None, + session: Optional[ClientSession] = None, + ) -> None: + """Read a file from GridFS + + Application developers should generally not need to + instantiate this class directly - instead see the methods + provided by :class:`~gridfs.GridFS`. + + Either `file_id` or `file_document` must be specified, + `file_document` will be given priority if present. Raises + :class:`TypeError` if `root_collection` is not an instance of + :class:`~pymongo.collection.Collection`. + + :param root_collection: root collection to read from + :param file_id: value of ``"_id"`` for the file to read + :param file_document: file document from + `root_collection.files` + :param session: a + :class:`~pymongo.client_session.ClientSession` to use for all + commands + + .. versionchanged:: 3.8 + For better performance and to better follow the GridFS spec, + :class:`GridOut` now uses a single cursor to read all the chunks in + the file. + + .. versionchanged:: 3.6 + Added ``session`` parameter. + + .. versionchanged:: 3.0 + Creating a GridOut does not immediately retrieve the file metadata + from the server. Metadata is fetched when first needed. + """ + if not isinstance(root_collection, Collection): + raise TypeError( + f"root_collection must be an instance of Collection, not {type(root_collection)}" + ) + _disallow_transactions(session) + + root_collection = _clear_entity_type_registry(root_collection) + + super().__init__() + + self._chunks = root_collection.chunks + self._files = root_collection.files + self._file_id = file_id + self._buffer = EMPTY + # Start position within the current buffered chunk. + self._buffer_pos = 0 + self._chunk_iter = None + # Position within the total file. + self._position = 0 + self._file = file_document + self._session = session + if not _IS_SYNC: + self.closed = False + + _id: Any = _grid_out_property("_id", "The ``'_id'`` value for this file.") + filename: str = _grid_out_property("filename", "Name of this file.") + name: str = _grid_out_property("filename", "Alias for `filename`.") + content_type: Optional[str] = _grid_out_property( + "contentType", "DEPRECATED, will be removed in PyMongo 5.0. Mime-type for this file." + ) + length: int = _grid_out_property("length", "Length (in bytes) of this file.") + chunk_size: int = _grid_out_property("chunkSize", "Chunk size for this file.") + upload_date: datetime.datetime = _grid_out_property( + "uploadDate", "Date that this file was first uploaded." + ) + aliases: Optional[list[str]] = _grid_out_property( + "aliases", "DEPRECATED, will be removed in PyMongo 5.0. List of aliases for this file." + ) + metadata: Optional[Mapping[str, Any]] = _grid_out_property( + "metadata", "Metadata attached to this file." + ) + md5: Optional[str] = _grid_out_property( + "md5", + "DEPRECATED, will be removed in PyMongo 5.0. MD5 of the contents of this file if an md5 sum was created.", + ) + + _file: Any + _chunk_iter: Any + + if not _IS_SYNC: + closed: bool + + def __next__(self) -> bytes: + line = self.readline() + if line: + return line + raise StopIteration() + + def to_list(self) -> list[bytes]: + return [x for x in self] # noqa: C416, RUF100 + + def readline(self, size: int = -1) -> bytes: + """Read one line or up to `size` bytes from the file. + + :param size: the maximum number of bytes to read + """ + return self._read_size_or_line(size=size, line=True) + + def readlines(self, size: int = -1) -> list[bytes]: + """Read one line or up to `size` bytes from the file. + + :param size: the maximum number of bytes to read + """ + self.open() + lines = [] + remainder = int(self.length) - self._position + bytes_read = 0 + while remainder > 0: + line = self._read_size_or_line(line=True) + bytes_read += len(line) + lines.append(line) + remainder = int(self.length) - self._position + if 0 < size < bytes_read: + break + + return lines + + def open(self) -> None: + if not self._file: + _disallow_transactions(self._session) + self._file = self._files.find_one({"_id": self._file_id}, session=self._session) + if not self._file: + raise NoFile( + f"no file in gridfs collection {self._files!r} with _id {self._file_id!r}" + ) + + def __getattr__(self, name: str) -> Any: + if _IS_SYNC: + self.open() # type: ignore[unused-coroutine] + elif not self._file: + raise InvalidOperation( + "You must call GridOut.open() before accessing the %s property" % name + ) + if name in self._file: + return self._file[name] + raise AttributeError("GridOut object has no attribute '%s'" % name) + + def readable(self) -> bool: + return True + + def readchunk(self) -> bytes: + """Reads a chunk at a time. If the current position is within a + chunk the remainder of the chunk is returned. + """ + self.open() + received = len(self._buffer) - self._buffer_pos + chunk_data = EMPTY + chunk_size = int(self.chunk_size) + + if received > 0: + chunk_data = self._buffer[self._buffer_pos :] + elif self._position < int(self.length): + chunk_number = int((received + self._position) / chunk_size) + if self._chunk_iter is None: + self._chunk_iter = GridOutChunkIterator( + self, self._chunks, self._session, chunk_number + ) + + chunk = self._chunk_iter.next() + chunk_data = chunk["data"][self._position % chunk_size :] + + if not chunk_data: + raise CorruptGridFile("truncated chunk") + + self._position += len(chunk_data) + self._buffer = EMPTY + self._buffer_pos = 0 + return chunk_data + + def _read_size_or_line(self, size: int = -1, line: bool = False) -> bytes: + """Internal read() and readline() helper.""" + self.open() + remainder = int(self.length) - self._position + if size < 0 or size > remainder: + size = remainder + + if size == 0: + return EMPTY + + received = 0 + data = [] + while received < size: + needed = size - received + if self._buffer: + # Optimization: Read the buffer with zero byte copies. + buf = self._buffer + chunk_start = self._buffer_pos + chunk_data = memoryview(buf)[self._buffer_pos :] + self._buffer = EMPTY + self._buffer_pos = 0 + self._position += len(chunk_data) + else: + buf = self.readchunk() + chunk_start = 0 + chunk_data = memoryview(buf) + if line: + pos = buf.find(NEWLN, chunk_start, chunk_start + needed) - chunk_start + if pos >= 0: + # Decrease size to exit the loop. + size = received + pos + 1 + needed = pos + 1 + if len(chunk_data) > needed: + data.append(chunk_data[:needed]) + # Optimization: Save the buffer with zero byte copies. + self._buffer = buf + self._buffer_pos = chunk_start + needed + self._position -= len(self._buffer) - self._buffer_pos + else: + data.append(chunk_data) + received += len(chunk_data) + + # Detect extra chunks after reading the entire file. + if size == remainder and self._chunk_iter: + try: + self._chunk_iter.next() + except StopIteration: + pass + + return b"".join(data) + + def read(self, size: int = -1) -> bytes: + """Read at most `size` bytes from the file (less if there + isn't enough data). + + The bytes are returned as an instance of :class:`bytes` + If `size` is negative or omitted all data is read. + + :param size: the number of bytes to read + + .. versionchanged:: 3.8 + This method now only checks for extra chunks after reading the + entire file. Previously, this method would check for extra chunks + on every call. + """ + return self._read_size_or_line(size=size) + + def tell(self) -> int: + """Return the current position of this file.""" + return self._position + + def seek(self, pos: int, whence: int = _SEEK_SET) -> int: + """Set the current position of this file. + + :param pos: the position (or offset if using relative + positioning) to seek to + :param whence: where to seek + from. :attr:`os.SEEK_SET` (``0``) for absolute file + positioning, :attr:`os.SEEK_CUR` (``1``) to seek relative + to the current position, :attr:`os.SEEK_END` (``2``) to + seek relative to the file's end. + + .. versionchanged:: 4.1 + The method now returns the new position in the file, to + conform to the behavior of :meth:`io.IOBase.seek`. + """ + if whence == _SEEK_SET: + new_pos = pos + elif whence == _SEEK_CUR: + new_pos = self._position + pos + elif whence == _SEEK_END: + new_pos = int(self.length) + pos + else: + raise OSError(22, "Invalid value for `whence`") + + if new_pos < 0: + raise OSError(22, "Invalid value for `pos` - must be positive") + + # Optimization, continue using the same buffer and chunk iterator. + if new_pos == self._position: + return new_pos + + self._position = new_pos + self._buffer = EMPTY + self._buffer_pos = 0 + if self._chunk_iter: + self._chunk_iter.close() + self._chunk_iter = None + return new_pos + + def seekable(self) -> bool: + return True + + def __iter__(self) -> GridOut: + """Return an iterator over all of this file's data. + + The iterator will return lines (delimited by ``b'\\n'``) of + :class:`bytes`. This can be useful when serving files + using a webserver that handles such an iterator efficiently. + + .. versionchanged:: 3.8 + The iterator now raises :class:`CorruptGridFile` when encountering + any truncated, missing, or extra chunk in a file. The previous + behavior was to only raise :class:`CorruptGridFile` on a missing + chunk. + + .. versionchanged:: 4.0 + The iterator now iterates over *lines* in the file, instead + of chunks, to conform to the base class :py:class:`io.IOBase`. + Use :meth:`GridOut.readchunk` to read chunk by chunk instead + of line by line. + """ + return self + + def close(self) -> None: + """Make GridOut more generically file-like.""" + if self._chunk_iter: + self._chunk_iter.close() + self._chunk_iter = None + if _IS_SYNC: + super().close() + else: + self.closed = True + + def write(self, value: Any) -> NoReturn: + raise io.UnsupportedOperation("write") + + def writelines(self, lines: Any) -> NoReturn: + raise io.UnsupportedOperation("writelines") + + def writable(self) -> bool: + return False + + def __enter__(self) -> GridOut: + """Makes it possible to use :class:`GridOut` files + with the async context manager protocol. + """ + return self + + def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> Any: + """Makes it possible to use :class:`GridOut` files + with the async context manager protocol. + """ + self.close() + return False + + def fileno(self) -> NoReturn: + raise io.UnsupportedOperation("fileno") + + def flush(self) -> None: + # GridOut is read-only, so flush does nothing. + pass + + def isatty(self) -> bool: + return False + + def truncate(self, size: Optional[int] = None) -> NoReturn: + # See https://docs.python.org/3/library/io.html#io.IOBase.writable + # for why truncate has to raise. + raise io.UnsupportedOperation("truncate") + + # Override IOBase.__del__ otherwise it will lead to __getattr__ on + # __IOBase_closed which calls _ensure_file and potentially performs I/O. + # We cannot do I/O in __del__ since it can lead to a deadlock. + def __del__(self) -> None: + pass + + +class GridOutChunkIterator: + """Iterates over a file's chunks using a single cursor. + + Raises CorruptGridFile when encountering any truncated, missing, or extra + chunk in a file. + """ + + def __init__( + self, + grid_out: GridOut, + chunks: Collection, + session: Optional[ClientSession], + next_chunk: Any, + ) -> None: + self._id = grid_out._id + self._chunk_size = int(grid_out.chunk_size) + self._length = int(grid_out.length) + self._chunks = chunks + self._session = session + self._next_chunk = next_chunk + self._num_chunks = math.ceil(float(self._length) / self._chunk_size) + self._cursor = None + + _cursor: Optional[Cursor] + + def expected_chunk_length(self, chunk_n: int) -> int: + if chunk_n < self._num_chunks - 1: + return self._chunk_size + return self._length - (self._chunk_size * (self._num_chunks - 1)) + + def __iter__(self) -> GridOutChunkIterator: + return self + + def _create_cursor(self) -> None: + filter = {"files_id": self._id} + if self._next_chunk > 0: + filter["n"] = {"$gte": self._next_chunk} + _disallow_transactions(self._session) + self._cursor = self._chunks.find(filter, sort=[("n", 1)], session=self._session) + + def _next_with_retry(self) -> Mapping[str, Any]: + """Return the next chunk and retry once on CursorNotFound. + + We retry on CursorNotFound to maintain backwards compatibility in + cases where two calls to read occur more than 10 minutes apart (the + server's default cursor timeout). + """ + if self._cursor is None: + self._create_cursor() + assert self._cursor is not None + try: + return self._cursor.next() + except CursorNotFound: + self._cursor.close() + self._create_cursor() + return self._cursor.next() + + def next(self) -> Mapping[str, Any]: + try: + chunk = self._next_with_retry() + except StopIteration: + if self._next_chunk >= self._num_chunks: + raise + raise CorruptGridFile("no chunk #%d" % self._next_chunk) from None + + if chunk["n"] != self._next_chunk: + self.close() + raise CorruptGridFile( + "Missing chunk: expected chunk #%d but found " + "chunk with n=%d" % (self._next_chunk, chunk["n"]) + ) + + if chunk["n"] >= self._num_chunks: + # According to spec, ignore extra chunks if they are empty. + if len(chunk["data"]): + self.close() + raise CorruptGridFile( + "Extra chunk found: expected %d chunks but found " + "chunk with n=%d" % (self._num_chunks, chunk["n"]) + ) + + expected_length = self.expected_chunk_length(chunk["n"]) + if len(chunk["data"]) != expected_length: + self.close() + raise CorruptGridFile( + "truncated chunk #%d: expected chunk length to be %d but " + "found chunk with length %d" % (chunk["n"], expected_length, len(chunk["data"])) + ) + + self._next_chunk += 1 + return chunk + + __next__ = next + + def close(self) -> None: + if self._cursor: + self._cursor.close() + self._cursor = None + + +class GridOutIterator: + def __init__(self, grid_out: GridOut, chunks: Collection, session: ClientSession): + self._chunk_iter = GridOutChunkIterator(grid_out, chunks, session, 0) + + def __iter__(self) -> GridOutIterator: + return self + + def next(self) -> bytes: + chunk = self._chunk_iter.next() + return bytes(chunk["data"]) + + __next__ = next + + +class GridOutCursor(Cursor): + """A cursor / iterator for returning GridOut objects as the result + of an arbitrary query against the GridFS files collection. + """ + + def __init__( + self, + collection: Collection, + filter: Optional[Mapping[str, Any]] = None, + skip: int = 0, + limit: int = 0, + no_cursor_timeout: bool = False, + sort: Optional[Any] = None, + batch_size: int = 0, + session: Optional[ClientSession] = None, + ) -> None: + """Create a new cursor, similar to the normal + :class:`~pymongo.cursor.Cursor`. + + Should not be called directly by application developers - see + the :class:`~gridfs.GridFS` method :meth:`~gridfs.GridFS.find` instead. + + .. versionadded 2.7 + + .. seealso:: The MongoDB documentation on `cursors `_. + """ + _disallow_transactions(session) + collection = _clear_entity_type_registry(collection) + + # Hold on to the base "fs" collection to create GridOut objects later. + self._root_collection = collection + + super().__init__( + collection.files, + filter, + skip=skip, + limit=limit, + no_cursor_timeout=no_cursor_timeout, + sort=sort, + batch_size=batch_size, + session=session, + ) + + def next(self) -> GridOut: + """Get next GridOut object from cursor.""" + _disallow_transactions(self.session) + next_file = super().next() + return GridOut(self._root_collection, file_document=next_file, session=self.session) + + def to_list(self, length: Optional[int] = None) -> list[GridOut]: + """Convert the cursor to a list.""" + if length is None: + return [x for x in self] # noqa: C416,RUF100 + if length < 1: + raise ValueError("to_list() length must be greater than 0") + ret = [] + for _ in range(length): + ret.append(self.next()) + return ret + + __next__ = next + + def add_option(self, *args: Any, **kwargs: Any) -> NoReturn: + raise NotImplementedError("Method does not exist for GridOutCursor") + + def remove_option(self, *args: Any, **kwargs: Any) -> NoReturn: + raise NotImplementedError("Method does not exist for GridOutCursor") + + def _clone_base(self, session: Optional[ClientSession]) -> GridOutCursor: + """Creates an empty GridOutCursor for information to be copied into.""" + return GridOutCursor(self._root_collection, session=session) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..26608491a84a7d33815b68b5d4e476eeae4aa4d2 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/__pycache__/_auth.cpython-312.pyc 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http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/_cython/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/_cython/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..1d9165b83eab41ceed907993264674619bbe8d89 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/_cython/__pycache__/__init__.cpython-312.pyc differ diff --git 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If a copy of the MPL was not distributed with this +# file, You can obtain one at http://mozilla.org/MPL/2.0/. + +# Issuer: CN=GlobalSign Root CA O=GlobalSign nv-sa OU=Root CA +# Subject: CN=GlobalSign Root CA O=GlobalSign nv-sa OU=Root CA +# Label: "GlobalSign Root CA" +# Serial: 4835703278459707669005204 +# MD5 Fingerprint: 3e:45:52:15:09:51:92:e1:b7:5d:37:9f:b1:87:29:8a +# SHA1 Fingerprint: b1:bc:96:8b:d4:f4:9d:62:2a:a8:9a:81:f2:15:01:52:a4:1d:82:9c +# SHA256 Fingerprint: eb:d4:10:40:e4:bb:3e:c7:42:c9:e3:81:d3:1e:f2:a4:1a:48:b6:68:5c:96:e7:ce:f3:c1:df:6c:d4:33:1c:99 +-----BEGIN CERTIFICATE----- +MIIDdTCCAl2gAwIBAgILBAAAAAABFUtaw5QwDQYJKoZIhvcNAQEFBQAwVzELMAkG +A1UEBhMCQkUxGTAXBgNVBAoTEEdsb2JhbFNpZ24gbnYtc2ExEDAOBgNVBAsTB1Jv +b3QgQ0ExGzAZBgNVBAMTEkdsb2JhbFNpZ24gUm9vdCBDQTAeFw05ODA5MDExMjAw +MDBaFw0yODAxMjgxMjAwMDBaMFcxCzAJBgNVBAYTAkJFMRkwFwYDVQQKExBHbG9i +YWxTaWduIG52LXNhMRAwDgYDVQQLEwdSb290IENBMRswGQYDVQQDExJHbG9iYWxT +aWduIFJvb3QgQ0EwggEiMA0GCSqGSIb3DQEBAQUAA4IBDwAwggEKAoIBAQDaDuaZ +jc6j40+Kfvvxi4Mla+pIH/EqsLmVEQS98GPR4mdmzxzdzxtIK+6NiY6arymAZavp +xy0Sy6scTHAHoT0KMM0VjU/43dSMUBUc71DuxC73/OlS8pF94G3VNTCOXkNz8kHp +1Wrjsok6Vjk4bwY8iGlbKk3Fp1S4bInMm/k8yuX9ifUSPJJ4ltbcdG6TRGHRjcdG +snUOhugZitVtbNV4FpWi6cgKOOvyJBNPc1STE4U6G7weNLWLBYy5d4ux2x8gkasJ +U26Qzns3dLlwR5EiUWMWea6xrkEmCMgZK9FGqkjWZCrXgzT/LCrBbBlDSgeF59N8 +9iFo7+ryUp9/k5DPAgMBAAGjQjBAMA4GA1UdDwEB/wQEAwIBBjAPBgNVHRMBAf8E +BTADAQH/MB0GA1UdDgQWBBRge2YaRQ2XyolQL30EzTSo//z9SzANBgkqhkiG9w0B +AQUFAAOCAQEA1nPnfE920I2/7LqivjTFKDK1fPxsnCwrvQmeU79rXqoRSLblCKOz +yj1hTdNGCbM+w6DjY1Ub8rrvrTnhQ7k4o+YviiY776BQVvnGCv04zcQLcFGUl5gE +38NflNUVyRRBnMRddWQVDf9VMOyGj/8N7yy5Y0b2qvzfvGn9LhJIZJrglfCm7ymP +AbEVtQwdpf5pLGkkeB6zpxxxYu7KyJesF12KwvhHhm4qxFYxldBniYUr+WymXUad +DKqC5JlR3XC321Y9YeRq4VzW9v493kHMB65jUr9TU/Qr6cf9tveCX4XSQRjbgbME +HMUfpIBvFSDJ3gyICh3WZlXi/EjJKSZp4A== +-----END CERTIFICATE----- + +# Issuer: CN=GlobalSign O=GlobalSign OU=GlobalSign Root CA - R2 +# Subject: CN=GlobalSign O=GlobalSign OU=GlobalSign Root CA - R2 +# Label: "GlobalSign Root CA - R2" +# Serial: 4835703278459682885658125 +# MD5 Fingerprint: 94:14:77:7e:3e:5e:fd:8f:30:bd:41:b0:cf:e7:d0:30 +# SHA1 Fingerprint: 75:e0:ab:b6:13:85:12:27:1c:04:f8:5f:dd:de:38:e4:b7:24:2e:fe +# SHA256 Fingerprint: ca:42:dd:41:74:5f:d0:b8:1e:b9:02:36:2c:f9:d8:bf:71:9d:a1:bd:1b:1e:fc:94:6f:5b:4c:99:f4:2c:1b:9e +-----BEGIN CERTIFICATE----- +MIIDujCCAqKgAwIBAgILBAAAAAABD4Ym5g0wDQYJKoZIhvcNAQEFBQAwTDEgMB4G +A1UECxMXR2xvYmFsU2lnbiBSb290IENBIC0gUjIxEzARBgNVBAoTCkdsb2JhbFNp +Z24xEzARBgNVBAMTCkdsb2JhbFNpZ24wHhcNMDYxMjE1MDgwMDAwWhcNMjExMjE1 +MDgwMDAwWjBMMSAwHgYDVQQLExdHbG9iYWxTaWduIFJvb3QgQ0EgLSBSMjETMBEG +A1UEChMKR2xvYmFsU2lnbjETMBEGA1UEAxMKR2xvYmFsU2lnbjCCASIwDQYJKoZI +hvcNAQEBBQADggEPADCCAQoCggEBAKbPJA6+Lm8omUVCxKs+IVSbC9N/hHD6ErPL +v4dfxn+G07IwXNb9rfF73OX4YJYJkhD10FPe+3t+c4isUoh7SqbKSaZeqKeMWhG8 +eoLrvozps6yWJQeXSpkqBy+0Hne/ig+1AnwblrjFuTosvNYSuetZfeLQBoZfXklq +tTleiDTsvHgMCJiEbKjNS7SgfQx5TfC4LcshytVsW33hoCmEofnTlEnLJGKRILzd +C9XZzPnqJworc5HGnRusyMvo4KD0L5CLTfuwNhv2GXqF4G3yYROIXJ/gkwpRl4pa +zq+r1feqCapgvdzZX99yqWATXgAByUr6P6TqBwMhAo6CygPCm48CAwEAAaOBnDCB +mTAOBgNVHQ8BAf8EBAMCAQYwDwYDVR0TAQH/BAUwAwEB/zAdBgNVHQ4EFgQUm+IH +V2ccHsBqBt5ZtJot39wZhi4wNgYDVR0fBC8wLTAroCmgJ4YlaHR0cDovL2NybC5n +bG9iYWxzaWduLm5ldC9yb290LXIyLmNybDAfBgNVHSMEGDAWgBSb4gdXZxwewGoG +3lm0mi3f3BmGLjANBgkqhkiG9w0BAQUFAAOCAQEAmYFThxxol4aR7OBKuEQLq4Gs +J0/WwbgcQ3izDJr86iw8bmEbTUsp9Z8FHSbBuOmDAGJFtqkIk7mpM0sYmsL4h4hO +291xNBrBVNpGP+DTKqttVCL1OmLNIG+6KYnX3ZHu01yiPqFbQfXf5WRDLenVOavS +ot+3i9DAgBkcRcAtjOj4LaR0VknFBbVPFd5uRHg5h6h+u/N5GJG79G+dwfCMNYxd +AfvDbbnvRG15RjF+Cv6pgsH/76tuIMRQyV+dTZsXjAzlAcmgQWpzU/qlULRuJQ/7 +TBj0/VLZjmmx6BEP3ojY+x1J96relc8geMJgEtslQIxq/H5COEBkEveegeGTLg== +-----END CERTIFICATE----- + +# Issuer: CN=Entrust.net Certification Authority (2048) O=Entrust.net OU=www.entrust.net/CPS_2048 incorp. by ref. (limits liab.)/(c) 1999 Entrust.net Limited +# Subject: CN=Entrust.net Certification Authority (2048) O=Entrust.net OU=www.entrust.net/CPS_2048 incorp. by ref. 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OU=Go Daddy Class 2 Certification Authority +# Subject: O=The Go Daddy Group, Inc. OU=Go Daddy Class 2 Certification Authority +# Label: "Go Daddy Class 2 CA" +# Serial: 0 +# MD5 Fingerprint: 91:de:06:25:ab:da:fd:32:17:0c:bb:25:17:2a:84:67 +# SHA1 Fingerprint: 27:96:ba:e6:3f:18:01:e2:77:26:1b:a0:d7:77:70:02:8f:20:ee:e4 +# SHA256 Fingerprint: c3:84:6b:f2:4b:9e:93:ca:64:27:4c:0e:c6:7c:1e:cc:5e:02:4f:fc:ac:d2:d7:40:19:35:0e:81:fe:54:6a:e4 +-----BEGIN CERTIFICATE----- +MIIEADCCAuigAwIBAgIBADANBgkqhkiG9w0BAQUFADBjMQswCQYDVQQGEwJVUzEh +MB8GA1UEChMYVGhlIEdvIERhZGR5IEdyb3VwLCBJbmMuMTEwLwYDVQQLEyhHbyBE +YWRkeSBDbGFzcyAyIENlcnRpZmljYXRpb24gQXV0aG9yaXR5MB4XDTA0MDYyOTE3 +MDYyMFoXDTM0MDYyOTE3MDYyMFowYzELMAkGA1UEBhMCVVMxITAfBgNVBAoTGFRo +ZSBHbyBEYWRkeSBHcm91cCwgSW5jLjExMC8GA1UECxMoR28gRGFkZHkgQ2xhc3Mg +MiBDZXJ0aWZpY2F0aW9uIEF1dGhvcml0eTCCASAwDQYJKoZIhvcNAQEBBQADggEN +ADCCAQgCggEBAN6d1+pXGEmhW+vXX0iG6r7d/+TvZxz0ZWizV3GgXne77ZtJ6XCA +PVYYYwhv2vLM0D9/AlQiVBDYsoHUwHU9S3/Hd8M+eKsaA7Ugay9qK7HFiH7Eux6w +wdhFJ2+qN1j3hybX2C32qRe3H3I2TqYXP2WYktsqbl2i/ojgC95/5Y0V4evLOtXi +EqITLdiOr18SPaAIBQi2XKVlOARFmR6jYGB0xUGlcmIbYsUfb18aQr4CUWWoriMY +avx4A6lNf4DD+qta/KFApMoZFv6yyO9ecw3ud72a9nmYvLEHZ6IVDd2gWMZEewo+ +YihfukEHU1jPEX44dMX4/7VpkI+EdOqXG68CAQOjgcAwgb0wHQYDVR0OBBYEFNLE +sNKR1EwRcbNhyz2h/t2oatTjMIGNBgNVHSMEgYUwgYKAFNLEsNKR1EwRcbNhyz2h +/t2oatTjoWekZTBjMQswCQYDVQQGEwJVUzEhMB8GA1UEChMYVGhlIEdvIERhZGR5 +IEdyb3VwLCBJbmMuMTEwLwYDVQQLEyhHbyBEYWRkeSBDbGFzcyAyIENlcnRpZmlj +YXRpb24gQXV0aG9yaXR5ggEAMAwGA1UdEwQFMAMBAf8wDQYJKoZIhvcNAQEFBQAD +ggEBADJL87LKPpH8EsahB4yOd6AzBhRckB4Y9wimPQoZ+YeAEW5p5JYXMP80kWNy +OO7MHAGjHZQopDH2esRU1/blMVgDoszOYtuURXO1v0XJJLXVggKtI3lpjbi2Tc7P +TMozI+gciKqdi0FuFskg5YmezTvacPd+mSYgFFQlq25zheabIZ0KbIIOqPjCDPoQ +HmyW74cNxA9hi63ugyuV+I6ShHI56yDqg+2DzZduCLzrTia2cyvk0/ZM/iZx4mER +dEr/VxqHD3VILs9RaRegAhJhldXRQLIQTO7ErBBDpqWeCtWVYpoNz4iCxTIM5Cuf +ReYNnyicsbkqWletNw+vHX/bvZ8= +-----END CERTIFICATE----- + +# Issuer: O=Starfield Technologies, Inc. OU=Starfield Class 2 Certification Authority +# Subject: O=Starfield Technologies, Inc. OU=Starfield Class 2 Certification Authority +# Label: "Starfield Class 2 CA" +# Serial: 0 +# MD5 Fingerprint: 32:4a:4b:bb:c8:63:69:9b:be:74:9a:c6:dd:1d:46:24 +# SHA1 Fingerprint: ad:7e:1c:28:b0:64:ef:8f:60:03:40:20:14:c3:d0:e3:37:0e:b5:8a +# SHA256 Fingerprint: 14:65:fa:20:53:97:b8:76:fa:a6:f0:a9:95:8e:55:90:e4:0f:cc:7f:aa:4f:b7:c2:c8:67:75:21:fb:5f:b6:58 +-----BEGIN CERTIFICATE----- +MIIEDzCCAvegAwIBAgIBADANBgkqhkiG9w0BAQUFADBoMQswCQYDVQQGEwJVUzEl +MCMGA1UEChMcU3RhcmZpZWxkIFRlY2hub2xvZ2llcywgSW5jLjEyMDAGA1UECxMp +U3RhcmZpZWxkIENsYXNzIDIgQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkwHhcNMDQw +NjI5MTczOTE2WhcNMzQwNjI5MTczOTE2WjBoMQswCQYDVQQGEwJVUzElMCMGA1UE +ChMcU3RhcmZpZWxkIFRlY2hub2xvZ2llcywgSW5jLjEyMDAGA1UECxMpU3RhcmZp +ZWxkIENsYXNzIDIgQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkwggEgMA0GCSqGSIb3 +DQEBAQUAA4IBDQAwggEIAoIBAQC3Msj+6XGmBIWtDBFk385N78gDGIc/oav7PKaf +8MOh2tTYbitTkPskpD6E8J7oX+zlJ0T1KKY/e97gKvDIr1MvnsoFAZMej2YcOadN ++lq2cwQlZut3f+dZxkqZJRRU6ybH838Z1TBwj6+wRir/resp7defqgSHo9T5iaU0 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O=DigiCert Inc OU=www.digicert.com +# Label: "DigiCert Assured ID Root CA" +# Serial: 17154717934120587862167794914071425081 +# MD5 Fingerprint: 87:ce:0b:7b:2a:0e:49:00:e1:58:71:9b:37:a8:93:72 +# SHA1 Fingerprint: 05:63:b8:63:0d:62:d7:5a:bb:c8:ab:1e:4b:df:b5:a8:99:b2:4d:43 +# SHA256 Fingerprint: 3e:90:99:b5:01:5e:8f:48:6c:00:bc:ea:9d:11:1e:e7:21:fa:ba:35:5a:89:bc:f1:df:69:56:1e:3d:c6:32:5c +-----BEGIN CERTIFICATE----- +MIIDtzCCAp+gAwIBAgIQDOfg5RfYRv6P5WD8G/AwOTANBgkqhkiG9w0BAQUFADBl +MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3 +d3cuZGlnaWNlcnQuY29tMSQwIgYDVQQDExtEaWdpQ2VydCBBc3N1cmVkIElEIFJv +b3QgQ0EwHhcNMDYxMTEwMDAwMDAwWhcNMzExMTEwMDAwMDAwWjBlMQswCQYDVQQG +EwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3d3cuZGlnaWNl +cnQuY29tMSQwIgYDVQQDExtEaWdpQ2VydCBBc3N1cmVkIElEIFJvb3QgQ0EwggEi +MA0GCSqGSIb3DQEBAQUAA4IBDwAwggEKAoIBAQCtDhXO5EOAXLGH87dg+XESpa7c +JpSIqvTO9SA5KFhgDPiA2qkVlTJhPLWxKISKityfCgyDF3qPkKyK53lTXDGEKvYP 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+# Serial: 10944719598952040374951832963794454346 +# MD5 Fingerprint: 79:e4:a9:84:0d:7d:3a:96:d7:c0:4f:e2:43:4c:89:2e +# SHA1 Fingerprint: a8:98:5d:3a:65:e5:e5:c4:b2:d7:d6:6d:40:c6:dd:2f:b1:9c:54:36 +# SHA256 Fingerprint: 43:48:a0:e9:44:4c:78:cb:26:5e:05:8d:5e:89:44:b4:d8:4f:96:62:bd:26:db:25:7f:89:34:a4:43:c7:01:61 +-----BEGIN CERTIFICATE----- +MIIDrzCCApegAwIBAgIQCDvgVpBCRrGhdWrJWZHHSjANBgkqhkiG9w0BAQUFADBh +MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3 +d3cuZGlnaWNlcnQuY29tMSAwHgYDVQQDExdEaWdpQ2VydCBHbG9iYWwgUm9vdCBD +QTAeFw0wNjExMTAwMDAwMDBaFw0zMTExMTAwMDAwMDBaMGExCzAJBgNVBAYTAlVT +MRUwEwYDVQQKEwxEaWdpQ2VydCBJbmMxGTAXBgNVBAsTEHd3dy5kaWdpY2VydC5j +b20xIDAeBgNVBAMTF0RpZ2lDZXJ0IEdsb2JhbCBSb290IENBMIIBIjANBgkqhkiG +9w0BAQEFAAOCAQ8AMIIBCgKCAQEA4jvhEXLeqKTTo1eqUKKPC3eQyaKl7hLOllsB +CSDMAZOnTjC3U/dDxGkAV53ijSLdhwZAAIEJzs4bg7/fzTtxRuLWZscFs3YnFo97 +nh6Vfe63SKMI2tavegw5BmV/Sl0fvBf4q77uKNd0f3p4mVmFaG5cIzJLv07A6Fpt 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CA" +# Serial: 17199774589125277788362757014266862032 +# MD5 Fingerprint: dc:32:c3:a7:6d:25:57:c7:68:09:9d:ea:2d:a9:a2:d1 +# SHA1 Fingerprint: 87:82:c6:c3:04:35:3b:cf:d2:96:92:d2:59:3e:7d:44:d9:34:ff:11 +# SHA256 Fingerprint: f1:c1:b5:0a:e5:a2:0d:d8:03:0e:c9:f6:bc:24:82:3d:d3:67:b5:25:57:59:b4:e7:1b:61:fc:e9:f7:37:5d:73 +-----BEGIN CERTIFICATE----- +MIIDuDCCAqCgAwIBAgIQDPCOXAgWpa1Cf/DrJxhZ0DANBgkqhkiG9w0BAQUFADBI +MQswCQYDVQQGEwJVUzEgMB4GA1UEChMXU2VjdXJlVHJ1c3QgQ29ycG9yYXRpb24x +FzAVBgNVBAMTDlNlY3VyZVRydXN0IENBMB4XDTA2MTEwNzE5MzExOFoXDTI5MTIz +MTE5NDA1NVowSDELMAkGA1UEBhMCVVMxIDAeBgNVBAoTF1NlY3VyZVRydXN0IENv +cnBvcmF0aW9uMRcwFQYDVQQDEw5TZWN1cmVUcnVzdCBDQTCCASIwDQYJKoZIhvcN +AQEBBQADggEPADCCAQoCggEBAKukgeWVzfX2FI7CT8rU4niVWJxB4Q2ZQCQXOZEz +Zum+4YOvYlyJ0fwkW2Gz4BERQRwdbvC4u/jep4G6pkjGnx29vo6pQT64lO0pGtSO +0gMdA+9tDWccV9cGrcrI9f4Or2YlSASWC12juhbDCE/RRvgUXPLIXgGZbf2IzIao +wW8xQmxSPmjL8xk037uHGFaAJsTQ3MBv396gwpEWoGQRS0S8Hvbn+mPeZqx2pHGj 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Fingerprint: 66:31:bf:9e:f7:4f:9e:b6:c9:d5:a6:0c:ba:6a:be:d1:f7:bd:ef:7b +# SHA256 Fingerprint: 0c:2c:d6:3d:f7:80:6f:a3:99:ed:e8:09:11:6b:57:5b:f8:79:89:f0:65:18:f9:80:8c:86:05:03:17:8b:af:66 +-----BEGIN CERTIFICATE----- +MIIEHTCCAwWgAwIBAgIQToEtioJl4AsC7j41AkblPTANBgkqhkiG9w0BAQUFADCB +gTELMAkGA1UEBhMCR0IxGzAZBgNVBAgTEkdyZWF0ZXIgTWFuY2hlc3RlcjEQMA4G +A1UEBxMHU2FsZm9yZDEaMBgGA1UEChMRQ09NT0RPIENBIExpbWl0ZWQxJzAlBgNV +BAMTHkNPTU9ETyBDZXJ0aWZpY2F0aW9uIEF1dGhvcml0eTAeFw0wNjEyMDEwMDAw +MDBaFw0yOTEyMzEyMzU5NTlaMIGBMQswCQYDVQQGEwJHQjEbMBkGA1UECBMSR3Jl +YXRlciBNYW5jaGVzdGVyMRAwDgYDVQQHEwdTYWxmb3JkMRowGAYDVQQKExFDT01P +RE8gQ0EgTGltaXRlZDEnMCUGA1UEAxMeQ09NT0RPIENlcnRpZmljYXRpb24gQXV0 +aG9yaXR5MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEA0ECLi3LjkRv3 +UcEbVASY06m/weaKXTuH+7uIzg3jLz8GlvCiKVCZrts7oVewdFFxze1CkU1B/qnI +2GqGd0S7WWaXUF601CxwRM/aN5VCaTwwxHGzUvAhTaHYujl8HJ6jJJ3ygxaYqhZ8 +Q5sVW7euNJH+1GImGEaaP+vB+fGQV+useg2L23IwambV4EajcNxo2f8ESIl33rXp 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116697915152937497490437556386812487904 +# MD5 Fingerprint: d3:f3:a6:16:c0:fa:6b:1d:59:b1:2d:96:4d:0e:11:2e +# SHA1 Fingerprint: 74:f8:a3:c3:ef:e7:b3:90:06:4b:83:90:3c:21:64:60:20:e5:df:ce +# SHA256 Fingerprint: 15:f0:ba:00:a3:ac:7a:f3:ac:88:4c:07:2b:10:11:a0:77:bd:77:c0:97:f4:01:64:b2:f8:59:8a:bd:83:86:0c +-----BEGIN CERTIFICATE----- +MIID5jCCAs6gAwIBAgIQV8szb8JcFuZHFhfjkDFo4DANBgkqhkiG9w0BAQUFADBi +MQswCQYDVQQGEwJVUzEhMB8GA1UEChMYTmV0d29yayBTb2x1dGlvbnMgTC5MLkMu +MTAwLgYDVQQDEydOZXR3b3JrIFNvbHV0aW9ucyBDZXJ0aWZpY2F0ZSBBdXRob3Jp +dHkwHhcNMDYxMjAxMDAwMDAwWhcNMjkxMjMxMjM1OTU5WjBiMQswCQYDVQQGEwJV +UzEhMB8GA1UEChMYTmV0d29yayBTb2x1dGlvbnMgTC5MLkMuMTAwLgYDVQQDEydO +ZXR3b3JrIFNvbHV0aW9ucyBDZXJ0aWZpY2F0ZSBBdXRob3JpdHkwggEiMA0GCSqG +SIb3DQEBAQUAA4IBDwAwggEKAoIBAQDkvH6SMG3G2I4rC7xGzuAnlt7e+foS0zwz +c7MEL7xxjOWftiJgPl9dzgn/ggwbmlFQGiaJ3dVhXRncEg8tCqJDXRfQNJIg6nPP +OCwGJgl6cvf6UDL4wpPTaaIjzkGxzOTVHzbRijr4jGPiFFlp7Q3Tf2vouAPlT2rl +mGNpSAW+Lv8ztumXWWn4Zxmuk2GWRBXTcrA/vGp97Eh/jcOrqnErU2lBUzS1sLnF 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Fingerprint: 7c:62:ff:74:9d:31:53:5e:68:4a:d5:78:aa:1e:bf:23 +# SHA1 Fingerprint: 9f:74:4e:9f:2b:4d:ba:ec:0f:31:2c:50:b6:56:3b:8e:2d:93:c3:11 +# SHA256 Fingerprint: 17:93:92:7a:06:14:54:97:89:ad:ce:2f:8f:34:f7:f0:b6:6d:0f:3a:e3:a3:b8:4d:21:ec:15:db:ba:4f:ad:c7 +-----BEGIN CERTIFICATE----- +MIICiTCCAg+gAwIBAgIQH0evqmIAcFBUTAGem2OZKjAKBggqhkjOPQQDAzCBhTEL +MAkGA1UEBhMCR0IxGzAZBgNVBAgTEkdyZWF0ZXIgTWFuY2hlc3RlcjEQMA4GA1UE +BxMHU2FsZm9yZDEaMBgGA1UEChMRQ09NT0RPIENBIExpbWl0ZWQxKzApBgNVBAMT +IkNPTU9ETyBFQ0MgQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkwHhcNMDgwMzA2MDAw +MDAwWhcNMzgwMTE4MjM1OTU5WjCBhTELMAkGA1UEBhMCR0IxGzAZBgNVBAgTEkdy +ZWF0ZXIgTWFuY2hlc3RlcjEQMA4GA1UEBxMHU2FsZm9yZDEaMBgGA1UEChMRQ09N +T0RPIENBIExpbWl0ZWQxKzApBgNVBAMTIkNPTU9ETyBFQ0MgQ2VydGlmaWNhdGlv +biBBdXRob3JpdHkwdjAQBgcqhkjOPQIBBgUrgQQAIgNiAAQDR3svdcmCFYX7deSR +FtSrYpn1PlILBs5BAH+X4QokPB0BBO490o0JlwzgdeT6+3eKKvUDYEs2ixYjFq0J +cfRK9ChQtP6IHG4/bC8vCVlbpVsLM5niwz2J+Wos77LTBumjQjBAMB0GA1UdDgQW 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OU=ePKI Root Certification Authority +# Subject: O=Chunghwa Telecom Co., Ltd. OU=ePKI Root Certification Authority +# Label: "ePKI Root Certification Authority" +# Serial: 28956088682735189655030529057352760477 +# MD5 Fingerprint: 1b:2e:00:ca:26:06:90:3d:ad:fe:6f:15:68:d3:6b:b3 +# SHA1 Fingerprint: 67:65:0d:f1:7e:8e:7e:5b:82:40:a4:f4:56:4b:cf:e2:3d:69:c6:f0 +# SHA256 Fingerprint: c0:a6:f4:dc:63:a2:4b:fd:cf:54:ef:2a:6a:08:2a:0a:72:de:35:80:3e:2f:f5:ff:52:7a:e5:d8:72:06:df:d5 +-----BEGIN CERTIFICATE----- +MIIFsDCCA5igAwIBAgIQFci9ZUdcr7iXAF7kBtK8nTANBgkqhkiG9w0BAQUFADBe +MQswCQYDVQQGEwJUVzEjMCEGA1UECgwaQ2h1bmdod2EgVGVsZWNvbSBDby4sIEx0 +ZC4xKjAoBgNVBAsMIWVQS0kgUm9vdCBDZXJ0aWZpY2F0aW9uIEF1dGhvcml0eTAe +Fw0wNDEyMjAwMjMxMjdaFw0zNDEyMjAwMjMxMjdaMF4xCzAJBgNVBAYTAlRXMSMw +IQYDVQQKDBpDaHVuZ2h3YSBUZWxlY29tIENvLiwgTHRkLjEqMCgGA1UECwwhZVBL +SSBSb290IENlcnRpZmljYXRpb24gQXV0aG9yaXR5MIICIjANBgkqhkiG9w0BAQEF +AAOCAg8AMIICCgKCAgEA4SUP7o3biDN1Z82tH306Tm2d0y8U82N0ywEhajfqhFAH +SyZbCUNsIZ5qyNUD9WBpj8zwIuQf5/dqIjG3LBXy4P4AakP/h2XGtRrBp0xtInAh +ijHyl3SJCRImHJ7K2RKilTza6We/CKBk49ZCt0Xvl/T29de1ShUCWH2YWEtgvM3X +DZoTM1PRYfl61dd4s5oz9wCGzh1NlDivqOx4UXCKXBCDUSH3ET00hl7lSM2XgYI1 +TBnsZfZrxQWh7kcT1rMhJ5QQCtkkO7q+RBNGMD+XPNjX12ruOzjjK9SXDrkb5wdJ +fzcq+Xd4z1TtW0ado4AOkUPB1ltfFLqfpo0kR0BZv3I4sjZsN/+Z0V0OWQqraffA +sgRFelQArr5T9rXn4fg8ozHSqf4hUmTFpmfwdQcGlBSBVcYn5AGPF8Fqcde+S/uU +WH1+ETOxQvdibBjWzwloPn9s9h6PYq2lY9sJpx8iQkEeb5mKPtf5P0B6ebClAZLS +nT0IFaUQAS2zMnaolQ2zepr7BxB4EW/hj8e6DyUadCrlHJhBmd8hh+iVBmoKs2pH +dmX2Os+PYhcZewoozRrSgx4hxyy/vv9haLdnG7t4TY3OZ+XkwY63I2binZB1NJip +NiuKmpS5nezMirH4JYlcWrYvjB9teSSnUmjDhDXiZo1jDiVN1Rmy5nk3pyKdVDEC +AwEAAaNqMGgwHQYDVR0OBBYEFB4M97Zn8uGSJglFwFU5Lnc/QkqiMAwGA1UdEwQF +MAMBAf8wOQYEZyoHAAQxMC8wLQIBADAJBgUrDgMCGgUAMAcGBWcqAwAABBRFsMLH +ClZ87lt4DJX5GFPBphzYEDANBgkqhkiG9w0BAQUFAAOCAgEACbODU1kBPpVJufGB +uvl2ICO1J2B01GqZNF5sAFPZn/KmsSQHRGoqxqWOeBLoR9lYGxMqXnmbnwoqZ6Yl +PwZpVnPDimZI+ymBV3QGypzqKOg4ZyYr8dW1P2WT+DZdjo2NQCCHGervJ8A9tDkP +JXtoUHRVnAxZfVo9QZQlUgjgRywVMRnVvwdVxrsStZf0X4OFunHB2WyBEXYKCrC/ +gpf36j36+uwtqSiUO1bd0lEursC9CBWMd1I0ltabrNMdjmEPNXubrjlpC2JgQCA2 +j6/7Nu4tCEoduL+bXPjqpRugc6bY+G7gMwRfaKonh+3ZwZCc7b3jajWvY9+rGNm6 +5ulK6lCKD2GTHuItGeIwlDWSXQ62B68ZgI9HkFFLLk3dheLSClIKF5r8GrBQAuUB +o2M3IUxExJtRmREOc5wGj1QupyheRDmHVi03vYVElOEMSyycw5KFNGHLD7ibSkNS +/jQ6fbjpKdx2qcgw+BRxgMYeNkh0IkFch4LoGHGLQYlE535YW6i4jRPpp2zDR+2z +Gp1iro2C6pSe3VkQw63d4k3jMdXH7OjysP6SHhYKGvzZ8/gntsm+HbRsZJB/9OTE +W9c3rkIO3aQab3yIVMUWbuF6aC74Or8NpDyJO3inTmODBCEIZ43ygknQW/2xzQ+D +hNQ+IIX3Sj0rnP0qCglN6oH4EZw= +-----END CERTIFICATE----- + +# Issuer: O=certSIGN OU=certSIGN ROOT CA +# Subject: O=certSIGN OU=certSIGN ROOT CA +# Label: "certSIGN ROOT CA" +# Serial: 35210227249154 +# MD5 Fingerprint: 18:98:c0:d6:e9:3a:fc:f9:b0:f5:0c:f7:4b:01:44:17 +# SHA1 Fingerprint: fa:b7:ee:36:97:26:62:fb:2d:b0:2a:f6:bf:03:fd:e8:7c:4b:2f:9b +# SHA256 Fingerprint: ea:a9:62:c4:fa:4a:6b:af:eb:e4:15:19:6d:35:1c:cd:88:8d:4f:53:f3:fa:8a:e6:d7:c4:66:a9:4e:60:42:bb +-----BEGIN CERTIFICATE----- +MIIDODCCAiCgAwIBAgIGIAYFFnACMA0GCSqGSIb3DQEBBQUAMDsxCzAJBgNVBAYT +AlJPMREwDwYDVQQKEwhjZXJ0U0lHTjEZMBcGA1UECxMQY2VydFNJR04gUk9PVCBD +QTAeFw0wNjA3MDQxNzIwMDRaFw0zMTA3MDQxNzIwMDRaMDsxCzAJBgNVBAYTAlJP +MREwDwYDVQQKEwhjZXJ0U0lHTjEZMBcGA1UECxMQY2VydFNJR04gUk9PVCBDQTCC +ASIwDQYJKoZIhvcNAQEBBQADggEPADCCAQoCggEBALczuX7IJUqOtdu0KBuqV5Do +0SLTZLrTk+jUrIZhQGpgV2hUhE28alQCBf/fm5oqrl0Hj0rDKH/v+yv6efHHrfAQ +UySQi2bJqIirr1qjAOm+ukbuW3N7LBeCgV5iLKECZbO9xSsAfsT8AzNXDe3i+s5d +RdY4zTW2ssHQnIFKquSyAVwdj1+ZxLGt24gh65AIgoDzMKND5pCCrlUoSe1b16kQ +OA7+j0xbm0bqQfWwCHTD0IgztnzXdN/chNFDDnU5oSVAKOp4yw4sLjmdjItuFhwv +JoIQ4uNllAoEwF73XVv4EOLQunpL+943AAAaWyjj0pxzPjKHmKHJUS/X3qwzs08C +AwEAAaNCMEAwDwYDVR0TAQH/BAUwAwEB/zAOBgNVHQ8BAf8EBAMCAcYwHQYDVR0O +BBYEFOCMm9slSbPxfIbWskKHC9BroNnkMA0GCSqGSIb3DQEBBQUAA4IBAQA+0hyJ +LjX8+HXd5n9liPRyTMks1zJO890ZeUe9jjtbkw9QSSQTaxQGcu8J06Gh40CEyecY +MnQ8SG4Pn0vU9x7Tk4ZkVJdjclDVVc/6IJMCopvDI5NOFlV2oHB5bc0hH88vLbwZ +44gx+FkagQnIl6Z0x2DEW8xXjrJ1/RsCCdtZb3KTafcxQdaIOL+Hsr0Wefmq5L6I +Jd1hJyMctTEHBDa0GpC9oHRxUIltvBTjD4au8as+x6AJzKNI0eDbZOeStc+vckNw +i/nDhDwTqn6Sm1dTk/pwwpEOMfmbZ13pljheX7NzTogVZ96edhBiIL5VaZVDADlN +9u6wWk5JRFRYX0KD +-----END CERTIFICATE----- + +# Issuer: CN=NetLock Arany (Class Gold) Főtanúsítvány O=NetLock Kft. OU=Tanúsítványkiadók (Certification Services) +# Subject: CN=NetLock Arany (Class Gold) Főtanúsítvány O=NetLock Kft. OU=Tanúsítványkiadók (Certification Services) +# Label: "NetLock Arany (Class Gold) Főtanúsítvány" +# Serial: 80544274841616 +# MD5 Fingerprint: c5:a1:b7:ff:73:dd:d6:d7:34:32:18:df:fc:3c:ad:88 +# SHA1 Fingerprint: 06:08:3f:59:3f:15:a1:04:a0:69:a4:6b:a9:03:d0:06:b7:97:09:91 +# SHA256 Fingerprint: 6c:61:da:c3:a2:de:f0:31:50:6b:e0:36:d2:a6:fe:40:19:94:fb:d1:3d:f9:c8:d4:66:59:92:74:c4:46:ec:98 +-----BEGIN CERTIFICATE----- +MIIEFTCCAv2gAwIBAgIGSUEs5AAQMA0GCSqGSIb3DQEBCwUAMIGnMQswCQYDVQQG +EwJIVTERMA8GA1UEBwwIQnVkYXBlc3QxFTATBgNVBAoMDE5ldExvY2sgS2Z0LjE3 +MDUGA1UECwwuVGFuw7pzw610dsOhbnlraWFkw7NrIChDZXJ0aWZpY2F0aW9uIFNl +cnZpY2VzKTE1MDMGA1UEAwwsTmV0TG9jayBBcmFueSAoQ2xhc3MgR29sZCkgRsWR +dGFuw7pzw610dsOhbnkwHhcNMDgxMjExMTUwODIxWhcNMjgxMjA2MTUwODIxWjCB +pzELMAkGA1UEBhMCSFUxETAPBgNVBAcMCEJ1ZGFwZXN0MRUwEwYDVQQKDAxOZXRM +b2NrIEtmdC4xNzA1BgNVBAsMLlRhbsO6c8OtdHbDoW55a2lhZMOzayAoQ2VydGlm +aWNhdGlvbiBTZXJ2aWNlcykxNTAzBgNVBAMMLE5ldExvY2sgQXJhbnkgKENsYXNz 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+# Subject: CN=Hongkong Post Root CA 1 O=Hongkong Post +# Label: "Hongkong Post Root CA 1" +# Serial: 1000 +# MD5 Fingerprint: a8:0d:6f:39:78:b9:43:6d:77:42:6d:98:5a:cc:23:ca +# SHA1 Fingerprint: d6:da:a8:20:8d:09:d2:15:4d:24:b5:2f:cb:34:6e:b2:58:b2:8a:58 +# SHA256 Fingerprint: f9:e6:7d:33:6c:51:00:2a:c0:54:c6:32:02:2d:66:dd:a2:e7:e3:ff:f1:0a:d0:61:ed:31:d8:bb:b4:10:cf:b2 +-----BEGIN CERTIFICATE----- +MIIDMDCCAhigAwIBAgICA+gwDQYJKoZIhvcNAQEFBQAwRzELMAkGA1UEBhMCSEsx +FjAUBgNVBAoTDUhvbmdrb25nIFBvc3QxIDAeBgNVBAMTF0hvbmdrb25nIFBvc3Qg +Um9vdCBDQSAxMB4XDTAzMDUxNTA1MTMxNFoXDTIzMDUxNTA0NTIyOVowRzELMAkG +A1UEBhMCSEsxFjAUBgNVBAoTDUhvbmdrb25nIFBvc3QxIDAeBgNVBAMTF0hvbmdr +b25nIFBvc3QgUm9vdCBDQSAxMIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKC +AQEArP84tulmAknjorThkPlAj3n54r15/gK97iSSHSL22oVyaf7XPwnU3ZG1ApzQ +jVrhVcNQhrkpJsLj2aDxaQMoIIBFIi1WpztUlVYiWR8o3x8gPW2iNr4joLFutbEn +PzlTCeqrauh0ssJlXI6/fMN4hM2eFvz1Lk8gKgifd/PFHsSaUmYeSF7jEAaPIpjh +ZY4bXSNmO7ilMlHIhqqhqZ5/dpTCpmy3QfDVyAY45tQM4vM7TG1QjMSDJ8EThFk9 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OU=Certum Certification Authority +# Subject: CN=Certum Trusted Network CA O=Unizeto Technologies S.A. OU=Certum Certification Authority +# Label: "Certum Trusted Network CA" +# Serial: 279744 +# MD5 Fingerprint: d5:e9:81:40:c5:18:69:fc:46:2c:89:75:62:0f:aa:78 +# SHA1 Fingerprint: 07:e0:32:e0:20:b7:2c:3f:19:2f:06:28:a2:59:3a:19:a7:0f:06:9e +# SHA256 Fingerprint: 5c:58:46:8d:55:f5:8e:49:7e:74:39:82:d2:b5:00:10:b6:d1:65:37:4a:cf:83:a7:d4:a3:2d:b7:68:c4:40:8e +-----BEGIN CERTIFICATE----- +MIIDuzCCAqOgAwIBAgIDBETAMA0GCSqGSIb3DQEBBQUAMH4xCzAJBgNVBAYTAlBM +MSIwIAYDVQQKExlVbml6ZXRvIFRlY2hub2xvZ2llcyBTLkEuMScwJQYDVQQLEx5D +ZXJ0dW0gQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkxIjAgBgNVBAMTGUNlcnR1bSBU +cnVzdGVkIE5ldHdvcmsgQ0EwHhcNMDgxMDIyMTIwNzM3WhcNMjkxMjMxMTIwNzM3 +WjB+MQswCQYDVQQGEwJQTDEiMCAGA1UEChMZVW5pemV0byBUZWNobm9sb2dpZXMg +Uy5BLjEnMCUGA1UECxMeQ2VydHVtIENlcnRpZmljYXRpb24gQXV0aG9yaXR5MSIw +IAYDVQQDExlDZXJ0dW0gVHJ1c3RlZCBOZXR3b3JrIENBMIIBIjANBgkqhkiG9w0B +AQEFAAOCAQ8AMIIBCgKCAQEA4/t9o3K6wvDJFIf1awFO4W5AB7ptJ11/91sts1rH +UV+rpDKmYYe2bg+G0jACl/jXaVehGDldamR5xgFZrDwxSjh80gTSSyjoIF87B6LM +TXPb865Px1bVWqeWifrzq2jUI4ZZJ88JJ7ysbnKDHDBy3+Ci6dLhdHUZvSqeexVU +BBvXQzmtVSjF4hq79MDkrjhJM8x2hZ85RdKknvISjFH4fOQtf/WsX+sWn7Et0brM +kUJ3TCXJkDhv2/DM+44el1k+1WBO5gUo7Ul5E0u6SNsv+XLTOcr+H9g0cvW0QM8x +AcPs3hEtF10fuFDRXhmnad4HMyjKUJX5p1TLVIZQRan5SQIDAQABo0IwQDAPBgNV +HRMBAf8EBTADAQH/MB0GA1UdDgQWBBQIds3LB/8k9sXN7buQvOKEN0Z19zAOBgNV +HQ8BAf8EBAMCAQYwDQYJKoZIhvcNAQEFBQADggEBAKaorSLOAT2mo/9i0Eidi15y +sHhE49wcrwn9I0j6vSrEuVUEtRCjjSfeC4Jj0O7eDDd5QVsisrCaQVymcODU0HfL +I9MA4GxWL+FpDQ3Zqr8hgVDZBqWo/5U30Kr+4rP1mS1FhIrlQgnXdAIv94nYmem8 +J9RHjboNRhx3zxSkHLmkMcScKHQDNP8zGSal6Q10tz6XxnboJ5ajZt3hrvJBW8qY +VoNzcOSGGtIxQbovvi0TWnZvTuhOgQ4/WwMioBK+ZlgRSssDxLQqKi2WF+A5VLxI +03YnnZotBqbJ7DnSq9ufmgsnAjUpsUCV5/nonFWIGUbWtzT1fs45mtk48VH3Tyw= +-----END CERTIFICATE----- + +# Issuer: CN=TWCA Root Certification Authority O=TAIWAN-CA OU=Root CA +# Subject: CN=TWCA Root Certification Authority O=TAIWAN-CA OU=Root CA +# Label: "TWCA Root Certification Authority" +# Serial: 1 +# MD5 Fingerprint: aa:08:8f:f6:f9:7b:b7:f2:b1:a7:1e:9b:ea:ea:bd:79 +# SHA1 Fingerprint: cf:9e:87:6d:d3:eb:fc:42:26:97:a3:b5:a3:7a:a0:76:a9:06:23:48 +# SHA256 Fingerprint: bf:d8:8f:e1:10:1c:41:ae:3e:80:1b:f8:be:56:35:0e:e9:ba:d1:a6:b9:bd:51:5e:dc:5c:6d:5b:87:11:ac:44 +-----BEGIN CERTIFICATE----- +MIIDezCCAmOgAwIBAgIBATANBgkqhkiG9w0BAQUFADBfMQswCQYDVQQGEwJUVzES +MBAGA1UECgwJVEFJV0FOLUNBMRAwDgYDVQQLDAdSb290IENBMSowKAYDVQQDDCFU +V0NBIFJvb3QgQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkwHhcNMDgwODI4MDcyNDMz +WhcNMzAxMjMxMTU1OTU5WjBfMQswCQYDVQQGEwJUVzESMBAGA1UECgwJVEFJV0FO +LUNBMRAwDgYDVQQLDAdSb290IENBMSowKAYDVQQDDCFUV0NBIFJvb3QgQ2VydGlm +aWNhdGlvbiBBdXRob3JpdHkwggEiMA0GCSqGSIb3DQEBAQUAA4IBDwAwggEKAoIB +AQCwfnK4pAOU5qfeCTiRShFAh6d8WWQUe7UREN3+v9XAu1bihSX0NXIP+FPQQeFE +AcK0HMMxQhZHhTMidrIKbw/lJVBPhYa+v5guEGcevhEFhgWQxFnQfHgQsIBct+HH +K3XLfJ+utdGdIzdjp9xCoi2SBBtQwXu4PhvJVgSLL1KbralW6cH/ralYhzC2gfeX +RfwZVzsrb+RH9JlF/h3x+JejiB03HFyP4HYlmlD4oFT/RJB2I9IyxsOrBr/8+7/z +rX2SYgJbKdM1o5OaQ2RgXbL6Mv87BK9NQGr5x+PvI/1ry+UPizgN7gr8/g+YnzAx +3WxSZfmLgb4i4RxYA7qRG4kHAgMBAAGjQjBAMA4GA1UdDwEB/wQEAwIBBjAPBgNV +HRMBAf8EBTADAQH/MB0GA1UdDgQWBBRqOFsmjd6LWvJPelSDGRjjCDWmujANBgkq +hkiG9w0BAQUFAAOCAQEAPNV3PdrfibqHDAhUaiBQkr6wQT25JmSDCi/oQMCXKCeC +MErJk/9q56YAf4lCmtYR5VPOL8zy2gXE/uJQxDqGfczafhAJO5I1KlOy/usrBdls +XebQ79NqZp4VKIV66IIArB6nCWlWQtNoURi+VJq/REG6Sb4gumlc7rh3zc5sH62D +lhh9DrUUOYTxKOkto557HnpyWoOzeW/vtPzQCqVYT0bf+215WfKEIlKuD8z7fDvn +aspHYcN6+NOSBB+4IIThNlQWx0DeO4pz3N/GCUzf7Nr/1FNCocnyYh0igzyXxfkZ +YiesZSLX0zzG5Y6yU8xJzrww/nsOM5D77dIUkR8Hrw== +-----END CERTIFICATE----- + +# Issuer: O=SECOM Trust Systems CO.,LTD. OU=Security Communication RootCA2 +# Subject: O=SECOM Trust Systems CO.,LTD. OU=Security Communication RootCA2 +# Label: "Security Communication RootCA2" +# Serial: 0 +# MD5 Fingerprint: 6c:39:7d:a4:0e:55:59:b2:3f:d6:41:b1:12:50:de:43 +# SHA1 Fingerprint: 5f:3b:8c:f2:f8:10:b3:7d:78:b4:ce:ec:19:19:c3:73:34:b9:c7:74 +# SHA256 Fingerprint: 51:3b:2c:ec:b8:10:d4:cd:e5:dd:85:39:1a:df:c6:c2:dd:60:d8:7b:b7:36:d2:b5:21:48:4a:a4:7a:0e:be:f6 +-----BEGIN CERTIFICATE----- +MIIDdzCCAl+gAwIBAgIBADANBgkqhkiG9w0BAQsFADBdMQswCQYDVQQGEwJKUDEl +MCMGA1UEChMcU0VDT00gVHJ1c3QgU3lzdGVtcyBDTy4sTFRELjEnMCUGA1UECxMe +U2VjdXJpdHkgQ29tbXVuaWNhdGlvbiBSb290Q0EyMB4XDTA5MDUyOTA1MDAzOVoX +DTI5MDUyOTA1MDAzOVowXTELMAkGA1UEBhMCSlAxJTAjBgNVBAoTHFNFQ09NIFRy +dXN0IFN5c3RlbXMgQ08uLExURC4xJzAlBgNVBAsTHlNlY3VyaXR5IENvbW11bmlj +YXRpb24gUm9vdENBMjCCASIwDQYJKoZIhvcNAQEBBQADggEPADCCAQoCggEBANAV +OVKxUrO6xVmCxF1SrjpDZYBLx/KWvNs2l9amZIyoXvDjChz335c9S672XewhtUGr +zbl+dp+++T42NKA7wfYxEUV0kz1XgMX5iZnK5atq1LXaQZAQwdbWQonCv/Q4EpVM +VAX3NuRFg3sUZdbcDE3R3n4MqzvEFb46VqZab3ZpUql6ucjrappdUtAtCms1FgkQ +hNBqyjoGADdH5H5XTz+L62e4iKrFvlNVspHEfbmwhRkGeC7bYRr6hfVKkaHnFtWO +ojnflLhwHyg/i/xAXmODPIMqGplrz95Zajv8bxbXH/1KEOtOghY6rCcMU/Gt1SSw +awNQwS08Ft1ENCcadfsCAwEAAaNCMEAwHQYDVR0OBBYEFAqFqXdlBZh8QIH4D5cs +OPEK7DzPMA4GA1UdDwEB/wQEAwIBBjAPBgNVHRMBAf8EBTADAQH/MA0GCSqGSIb3 +DQEBCwUAA4IBAQBMOqNErLlFsceTfsgLCkLfZOoc7llsCLqJX2rKSpWeeo8HxdpF +coJxDjrSzG+ntKEju/Ykn8sX/oymzsLS28yN/HH8AynBbF0zX2S2ZTuJbxh2ePXc +okgfGT+Ok+vx+hfuzU7jBBJV1uXk3fs+BXziHV7Gp7yXT2g69ekuCkO2r1dcYmh8 +t/2jioSgrGK+KwmHNPBqAbubKVY8/gA3zyNs8U6qtnRGEmyR7jTV7JqR50S+kDFy +1UkC9gLl9B/rfNmWVan/7Ir5mUf/NVoCqgTLiluHcSmRvaS0eg29mvVXIwAHIRc/ +SjnRBUkLp7Y3gaVdjKozXoEofKd9J+sAro03 +-----END CERTIFICATE----- + +# Issuer: CN=EC-ACC O=Agencia Catalana de Certificacio (NIF Q-0801176-I) OU=Serveis Publics de Certificacio/Vegeu https://www.catcert.net/verarrel (c)03/Jerarquia Entitats de Certificacio Catalanes +# Subject: CN=EC-ACC O=Agencia Catalana de Certificacio (NIF Q-0801176-I) OU=Serveis Publics de Certificacio/Vegeu https://www.catcert.net/verarrel (c)03/Jerarquia Entitats de Certificacio Catalanes +# Label: "EC-ACC" +# Serial: -23701579247955709139626555126524820479 +# MD5 Fingerprint: eb:f5:9d:29:0d:61:f9:42:1f:7c:c2:ba:6d:e3:15:09 +# SHA1 Fingerprint: 28:90:3a:63:5b:52:80:fa:e6:77:4c:0b:6d:a7:d6:ba:a6:4a:f2:e8 +# SHA256 Fingerprint: 88:49:7f:01:60:2f:31:54:24:6a:e2:8c:4d:5a:ef:10:f1:d8:7e:bb:76:62:6f:4a:e0:b7:f9:5b:a7:96:87:99 +-----BEGIN CERTIFICATE----- +MIIFVjCCBD6gAwIBAgIQ7is969Qh3hSoYqwE893EATANBgkqhkiG9w0BAQUFADCB +8zELMAkGA1UEBhMCRVMxOzA5BgNVBAoTMkFnZW5jaWEgQ2F0YWxhbmEgZGUgQ2Vy +dGlmaWNhY2lvIChOSUYgUS0wODAxMTc2LUkpMSgwJgYDVQQLEx9TZXJ2ZWlzIFB1 +YmxpY3MgZGUgQ2VydGlmaWNhY2lvMTUwMwYDVQQLEyxWZWdldSBodHRwczovL3d3 +dy5jYXRjZXJ0Lm5ldC92ZXJhcnJlbCAoYykwMzE1MDMGA1UECxMsSmVyYXJxdWlh +IEVudGl0YXRzIGRlIENlcnRpZmljYWNpbyBDYXRhbGFuZXMxDzANBgNVBAMTBkVD +LUFDQzAeFw0wMzAxMDcyMzAwMDBaFw0zMTAxMDcyMjU5NTlaMIHzMQswCQYDVQQG +EwJFUzE7MDkGA1UEChMyQWdlbmNpYSBDYXRhbGFuYSBkZSBDZXJ0aWZpY2FjaW8g +KE5JRiBRLTA4MDExNzYtSSkxKDAmBgNVBAsTH1NlcnZlaXMgUHVibGljcyBkZSBD +ZXJ0aWZpY2FjaW8xNTAzBgNVBAsTLFZlZ2V1IGh0dHBzOi8vd3d3LmNhdGNlcnQu +bmV0L3ZlcmFycmVsIChjKTAzMTUwMwYDVQQLEyxKZXJhcnF1aWEgRW50aXRhdHMg +ZGUgQ2VydGlmaWNhY2lvIENhdGFsYW5lczEPMA0GA1UEAxMGRUMtQUNDMIIBIjAN +BgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAsyLHT+KXQpWIR4NA9h0X84NzJB5R +85iKw5K4/0CQBXCHYMkAqbWUZRkiFRfCQ2xmRJoNBD45b6VLeqpjt4pEndljkYRm +4CgPukLjbo73FCeTae6RDqNfDrHrZqJyTxIThmV6PttPB/SnCWDaOkKZx7J/sxaV +HMf5NLWUhdWZXqBIoH7nF2W4onW4HvPlQn2v7fOKSGRdghST2MDk/7NQcvJ29rNd +QlB50JQ+awwAvthrDk4q7D7SzIKiGGUzE3eeml0aE9jD2z3Il3rucO2n5nzbcc8t +lGLfbdb1OL4/pYUKGbio2Al1QnDE6u/LDsg0qBIimAy4E5S2S+zw0JDnJwIDAQAB +o4HjMIHgMB0GA1UdEQQWMBSBEmVjX2FjY0BjYXRjZXJ0Lm5ldDAPBgNVHRMBAf8E +BTADAQH/MA4GA1UdDwEB/wQEAwIBBjAdBgNVHQ4EFgQUoMOLRKo3pUW/l4Ba0fF4 +opvpXY0wfwYDVR0gBHgwdjB0BgsrBgEEAfV4AQMBCjBlMCwGCCsGAQUFBwIBFiBo +dHRwczovL3d3dy5jYXRjZXJ0Lm5ldC92ZXJhcnJlbDA1BggrBgEFBQcCAjApGidW +ZWdldSBodHRwczovL3d3dy5jYXRjZXJ0Lm5ldC92ZXJhcnJlbCAwDQYJKoZIhvcN +AQEFBQADggEBAKBIW4IB9k1IuDlVNZyAelOZ1Vr/sXE7zDkJlF7W2u++AVtd0x7Y +/X1PzaBB4DSTv8vihpw3kpBWHNzrKQXlxJ7HNd+KDM3FIUPpqojlNcAZQmNaAl6k +SBg6hW/cnbw/nZzBh7h6YQjpdwt/cKt63dmXLGQehb+8dJahw3oS7AwaboMMPOhy +Rp/7SNVel+axofjk70YllJyJ22k4vuxcDlbHZVHlUIiIv0LVKz3l+bqeLrPK9HOS +Agu+TGbrIP65y7WZf+a2E/rKS03Z7lNGBjvGTq2TWoF+bCpLagVFjPIhpDGQh2xl +nJ2lYJU6Un/10asIbvPuW/mIPX64b24D5EI= +-----END CERTIFICATE----- + +# Issuer: CN=Hellenic Academic and Research Institutions RootCA 2011 O=Hellenic Academic and Research Institutions Cert. Authority +# Subject: CN=Hellenic Academic and Research Institutions RootCA 2011 O=Hellenic Academic and Research Institutions Cert. Authority +# Label: "Hellenic Academic and Research Institutions RootCA 2011" +# Serial: 0 +# MD5 Fingerprint: 73:9f:4c:4b:73:5b:79:e9:fa:ba:1c:ef:6e:cb:d5:c9 +# SHA1 Fingerprint: fe:45:65:9b:79:03:5b:98:a1:61:b5:51:2e:ac:da:58:09:48:22:4d +# SHA256 Fingerprint: bc:10:4f:15:a4:8b:e7:09:dc:a5:42:a7:e1:d4:b9:df:6f:05:45:27:e8:02:ea:a9:2d:59:54:44:25:8a:fe:71 +-----BEGIN CERTIFICATE----- +MIIEMTCCAxmgAwIBAgIBADANBgkqhkiG9w0BAQUFADCBlTELMAkGA1UEBhMCR1Ix +RDBCBgNVBAoTO0hlbGxlbmljIEFjYWRlbWljIGFuZCBSZXNlYXJjaCBJbnN0aXR1 +dGlvbnMgQ2VydC4gQXV0aG9yaXR5MUAwPgYDVQQDEzdIZWxsZW5pYyBBY2FkZW1p +YyBhbmQgUmVzZWFyY2ggSW5zdGl0dXRpb25zIFJvb3RDQSAyMDExMB4XDTExMTIw +NjEzNDk1MloXDTMxMTIwMTEzNDk1MlowgZUxCzAJBgNVBAYTAkdSMUQwQgYDVQQK +EztIZWxsZW5pYyBBY2FkZW1pYyBhbmQgUmVzZWFyY2ggSW5zdGl0dXRpb25zIENl +cnQuIEF1dGhvcml0eTFAMD4GA1UEAxM3SGVsbGVuaWMgQWNhZGVtaWMgYW5kIFJl +c2VhcmNoIEluc3RpdHV0aW9ucyBSb290Q0EgMjAxMTCCASIwDQYJKoZIhvcNAQEB +BQADggEPADCCAQoCggEBAKlTAOMupvaO+mDYLZU++CwqVE7NuYRhlFhPjz2L5EPz 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Subject: CN=Actalis Authentication Root CA O=Actalis S.p.A./03358520967 +# Label: "Actalis Authentication Root CA" +# Serial: 6271844772424770508 +# MD5 Fingerprint: 69:c1:0d:4f:07:a3:1b:c3:fe:56:3d:04:bc:11:f6:a6 +# SHA1 Fingerprint: f3:73:b3:87:06:5a:28:84:8a:f2:f3:4a:ce:19:2b:dd:c7:8e:9c:ac +# SHA256 Fingerprint: 55:92:60:84:ec:96:3a:64:b9:6e:2a:be:01:ce:0b:a8:6a:64:fb:fe:bc:c7:aa:b5:af:c1:55:b3:7f:d7:60:66 +-----BEGIN CERTIFICATE----- +MIIFuzCCA6OgAwIBAgIIVwoRl0LE48wwDQYJKoZIhvcNAQELBQAwazELMAkGA1UE +BhMCSVQxDjAMBgNVBAcMBU1pbGFuMSMwIQYDVQQKDBpBY3RhbGlzIFMucC5BLi8w +MzM1ODUyMDk2NzEnMCUGA1UEAwweQWN0YWxpcyBBdXRoZW50aWNhdGlvbiBSb290 +IENBMB4XDTExMDkyMjExMjIwMloXDTMwMDkyMjExMjIwMlowazELMAkGA1UEBhMC +SVQxDjAMBgNVBAcMBU1pbGFuMSMwIQYDVQQKDBpBY3RhbGlzIFMucC5BLi8wMzM1 +ODUyMDk2NzEnMCUGA1UEAwweQWN0YWxpcyBBdXRoZW50aWNhdGlvbiBSb290IENB +MIICIjANBgkqhkiG9w0BAQEFAAOCAg8AMIICCgKCAgEAp8bEpSmkLO/lGMWwUKNv +UTufClrJwkg4CsIcoBh/kbWHuUA/3R1oHwiD1S0eiKD4j1aPbZkCkpAW1V8IbInX 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CERTIFICATE----- +MIIFWTCCA0GgAwIBAgIBAjANBgkqhkiG9w0BAQsFADBOMQswCQYDVQQGEwJOTzEd +MBsGA1UECgwUQnV5cGFzcyBBUy05ODMxNjMzMjcxIDAeBgNVBAMMF0J1eXBhc3Mg +Q2xhc3MgMiBSb290IENBMB4XDTEwMTAyNjA4MzgwM1oXDTQwMTAyNjA4MzgwM1ow +TjELMAkGA1UEBhMCTk8xHTAbBgNVBAoMFEJ1eXBhc3MgQVMtOTgzMTYzMzI3MSAw +HgYDVQQDDBdCdXlwYXNzIENsYXNzIDIgUm9vdCBDQTCCAiIwDQYJKoZIhvcNAQEB +BQADggIPADCCAgoCggIBANfHXvfBB9R3+0Mh9PT1aeTuMgHbo4Yf5FkNuud1g1Lr +6hxhFUi7HQfKjK6w3Jad6sNgkoaCKHOcVgb/S2TwDCo3SbXlzwx87vFKu3MwZfPV +L4O2fuPn9Z6rYPnT8Z2SdIrkHJasW4DptfQxh6NR/Md+oW+OU3fUl8FVM5I+GC91 +1K2GScuVr1QGbNgGE41b/+EmGVnAJLqBcXmQRFBoJJRfuLMR8SlBYaNByyM21cHx +MlAQTn/0hpPshNOOvEu/XAFOBz3cFIqUCqTqc/sLUegTBxj6DvEr0VQVfTzh97QZ +QmdiXnfgolXsttlpF9U6r0TtSsWe5HonfOV116rLJeffawrbD02TTqigzXsu8lkB +arcNuAeBfos4GzjmCleZPe4h6KP1DBbdi+w0jpwqHAAVF41og9JwnxgIzRFo1clr +Us3ERo/ctfPYV3Me6ZQ5BL/T3jjetFPsaRyifsSP5BtwrfKi+fv3FmRmaZ9JUaLi +FRhnBkp/1Wy1TbMz4GHrXb7pmA8y1x1LPC5aAVKRCfLf6o3YBkBjqhHk/sM3nhRS 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Issuer: CN=Buypass Class 3 Root CA O=Buypass AS-983163327 +# Subject: CN=Buypass Class 3 Root CA O=Buypass AS-983163327 +# Label: "Buypass Class 3 Root CA" +# Serial: 2 +# MD5 Fingerprint: 3d:3b:18:9e:2c:64:5a:e8:d5:88:ce:0e:f9:37:c2:ec +# SHA1 Fingerprint: da:fa:f7:fa:66:84:ec:06:8f:14:50:bd:c7:c2:81:a5:bc:a9:64:57 +# SHA256 Fingerprint: ed:f7:eb:bc:a2:7a:2a:38:4d:38:7b:7d:40:10:c6:66:e2:ed:b4:84:3e:4c:29:b4:ae:1d:5b:93:32:e6:b2:4d +-----BEGIN CERTIFICATE----- +MIIFWTCCA0GgAwIBAgIBAjANBgkqhkiG9w0BAQsFADBOMQswCQYDVQQGEwJOTzEd +MBsGA1UECgwUQnV5cGFzcyBBUy05ODMxNjMzMjcxIDAeBgNVBAMMF0J1eXBhc3Mg +Q2xhc3MgMyBSb290IENBMB4XDTEwMTAyNjA4Mjg1OFoXDTQwMTAyNjA4Mjg1OFow +TjELMAkGA1UEBhMCTk8xHTAbBgNVBAoMFEJ1eXBhc3MgQVMtOTgzMTYzMzI3MSAw +HgYDVQQDDBdCdXlwYXNzIENsYXNzIDMgUm9vdCBDQTCCAiIwDQYJKoZIhvcNAQEB +BQADggIPADCCAgoCggIBAKXaCpUWUOOV8l6ddjEGMnqb8RB2uACatVI2zSRHsJ8Y +ZLya9vrVediQYkwiL944PdbgqOkcLNt4EemOaFEVcsfzM4fkoF0LXOBXByow9c3E +N3coTRiR5r/VUv1xLXA+58bEiuPwKAv0dpihi4dVsjoT/Lc+JzeOIuOoTyrvYLs9 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dd:69:36:fe:21:f8:f0:77:c1:23:a1:a5:21:c1:22:24:f7:22:55:b7:3e:03:a7:26:06:93:e8:a2:4b:0f:a3:89 +-----BEGIN CERTIFICATE----- +MIIFODCCAyCgAwIBAgIRAJW+FqD3LkbxezmCcvqLzZYwDQYJKoZIhvcNAQEFBQAw +NzEUMBIGA1UECgwLVGVsaWFTb25lcmExHzAdBgNVBAMMFlRlbGlhU29uZXJhIFJv +b3QgQ0EgdjEwHhcNMDcxMDE4MTIwMDUwWhcNMzIxMDE4MTIwMDUwWjA3MRQwEgYD +VQQKDAtUZWxpYVNvbmVyYTEfMB0GA1UEAwwWVGVsaWFTb25lcmEgUm9vdCBDQSB2 +MTCCAiIwDQYJKoZIhvcNAQEBBQADggIPADCCAgoCggIBAMK+6yfwIaPzaSZVfp3F +VRaRXP3vIb9TgHot0pGMYzHw7CTww6XScnwQbfQ3t+XmfHnqjLWCi65ItqwA3GV1 +7CpNX8GH9SBlK4GoRz6JI5UwFpB/6FcHSOcZrr9FZ7E3GwYq/t75rH2D+1665I+X +Z75Ljo1kB1c4VWk0Nj0TSO9P4tNmHqTPGrdeNjPUtAa9GAH9d4RQAEX1jF3oI7x+ +/jXh7VB7qTCNGdMJjmhnXb88lxhTuylixcpecsHHltTbLaC0H2kD7OriUPEMPPCs +81Mt8Bz17Ww5OXOAFshSsCPN4D7c3TxHoLs1iuKYaIu+5b9y7tL6pe0S7fyYGKkm +dtwoSxAgHNN/Fnct7W+A90m7UwW7XWjH1Mh1Fj+JWov3F0fUTPHSiXk+TT2YqGHe +Oh7S+F4D4MHJHIzTjU3TlTazN19jY5szFPAtJmtTfImMMsJu7D0hADnJoWjiUIMu +sDor8zagrC/kb2HCUQk5PotTubtn2txTuXZZNp1D5SDgPTJghSJRt8czu90VL6R4 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CERTIFICATE----- + +# Issuer: CN=E-Tugra Certification Authority O=E-Tuğra EBG Bilişim Teknolojileri ve Hizmetleri A.Ş. OU=E-Tugra Sertifikasyon Merkezi +# Subject: CN=E-Tugra Certification Authority O=E-Tuğra EBG Bilişim Teknolojileri ve Hizmetleri A.Ş. OU=E-Tugra Sertifikasyon Merkezi +# Label: "E-Tugra Certification Authority" +# Serial: 7667447206703254355 +# MD5 Fingerprint: b8:a1:03:63:b0:bd:21:71:70:8a:6f:13:3a:bb:79:49 +# SHA1 Fingerprint: 51:c6:e7:08:49:06:6e:f3:92:d4:5c:a0:0d:6d:a3:62:8f:c3:52:39 +# SHA256 Fingerprint: b0:bf:d5:2b:b0:d7:d9:bd:92:bf:5d:4d:c1:3d:a2:55:c0:2c:54:2f:37:83:65:ea:89:39:11:f5:5e:55:f2:3c +-----BEGIN CERTIFICATE----- +MIIGSzCCBDOgAwIBAgIIamg+nFGby1MwDQYJKoZIhvcNAQELBQAwgbIxCzAJBgNV +BAYTAlRSMQ8wDQYDVQQHDAZBbmthcmExQDA+BgNVBAoMN0UtVHXEn3JhIEVCRyBC +aWxpxZ9pbSBUZWtub2xvamlsZXJpIHZlIEhpem1ldGxlcmkgQS7Fni4xJjAkBgNV +BAsMHUUtVHVncmEgU2VydGlmaWthc3lvbiBNZXJrZXppMSgwJgYDVQQDDB9FLVR1 +Z3JhIENlcnRpZmljYXRpb24gQXV0aG9yaXR5MB4XDTEzMDMwNTEyMDk0OFoXDTIz +MDMwMzEyMDk0OFowgbIxCzAJBgNVBAYTAlRSMQ8wDQYDVQQHDAZBbmthcmExQDA+ +BgNVBAoMN0UtVHXEn3JhIEVCRyBCaWxpxZ9pbSBUZWtub2xvamlsZXJpIHZlIEhp +em1ldGxlcmkgQS7Fni4xJjAkBgNVBAsMHUUtVHVncmEgU2VydGlmaWthc3lvbiBN +ZXJrZXppMSgwJgYDVQQDDB9FLVR1Z3JhIENlcnRpZmljYXRpb24gQXV0aG9yaXR5 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2b:b1:f5:3e:55:0c:1d:c5:f1:d4:e6:b7:6a:46:4b:55:06:02:ac:21 +# SHA256 Fingerprint: f3:56:be:a2:44:b7:a9:1e:b3:5d:53:ca:9a:d7:86:4a:ce:01:8e:2d:35:d5:f8:f9:6d:df:68:a6:f4:1a:a4:74 +-----BEGIN CERTIFICATE----- +MIIDdzCCAl+gAwIBAgIIXDPLYixfszIwDQYJKoZIhvcNAQELBQAwPDEeMBwGA1UE +AwwVQXRvcyBUcnVzdGVkUm9vdCAyMDExMQ0wCwYDVQQKDARBdG9zMQswCQYDVQQG +EwJERTAeFw0xMTA3MDcxNDU4MzBaFw0zMDEyMzEyMzU5NTlaMDwxHjAcBgNVBAMM +FUF0b3MgVHJ1c3RlZFJvb3QgMjAxMTENMAsGA1UECgwEQXRvczELMAkGA1UEBhMC +REUwggEiMA0GCSqGSIb3DQEBAQUAA4IBDwAwggEKAoIBAQCVhTuXbyo7LjvPpvMp +Nb7PGKw+qtn4TaA+Gke5vJrf8v7MPkfoepbCJI419KkM/IL9bcFyYie96mvr54rM +VD6QUM+A1JX76LWC1BTFtqlVJVfbsVD2sGBkWXppzwO3bw2+yj5vdHLqqjAqc2K+ +SZFhyBH+DgMq92og3AIVDV4VavzjgsG1xZ1kCWyjWZgHJ8cblithdHFsQ/H3NYkQ +4J7sVaE3IqKHBAUsR320HLliKWYoyrfhk/WklAOZuXCFteZI6o1Q/NnezG8HDt0L +cp2AMBYHlT8oDv3FdU9T1nSatCQujgKRz3bFmx5VdJx4IbHwLfELn8LVlhgf8FQi +eowHAgMBAAGjfTB7MB0GA1UdDgQWBBSnpQaxLKYJYO7Rl+lwrrw7GWzbITAPBgNV +HRMBAf8EBTADAQH/MB8GA1UdIwQYMBaAFKelBrEspglg7tGX6XCuvDsZbNshMBgG 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Subject: CN=QuoVadis Root CA 2 G3 O=QuoVadis Limited +# Label: "QuoVadis Root CA 2 G3" +# Serial: 390156079458959257446133169266079962026824725800 +# MD5 Fingerprint: af:0c:86:6e:bf:40:2d:7f:0b:3e:12:50:ba:12:3d:06 +# SHA1 Fingerprint: 09:3c:61:f3:8b:8b:dc:7d:55:df:75:38:02:05:00:e1:25:f5:c8:36 +# SHA256 Fingerprint: 8f:e4:fb:0a:f9:3a:4d:0d:67:db:0b:eb:b2:3e:37:c7:1b:f3:25:dc:bc:dd:24:0e:a0:4d:af:58:b4:7e:18:40 +-----BEGIN CERTIFICATE----- +MIIFYDCCA0igAwIBAgIURFc0JFuBiZs18s64KztbpybwdSgwDQYJKoZIhvcNAQEL +BQAwSDELMAkGA1UEBhMCQk0xGTAXBgNVBAoTEFF1b1ZhZGlzIExpbWl0ZWQxHjAc +BgNVBAMTFVF1b1ZhZGlzIFJvb3QgQ0EgMiBHMzAeFw0xMjAxMTIxODU5MzJaFw00 +MjAxMTIxODU5MzJaMEgxCzAJBgNVBAYTAkJNMRkwFwYDVQQKExBRdW9WYWRpcyBM +aW1pdGVkMR4wHAYDVQQDExVRdW9WYWRpcyBSb290IENBIDIgRzMwggIiMA0GCSqG +SIb3DQEBAQUAA4ICDwAwggIKAoICAQChriWyARjcV4g/Ruv5r+LrI3HimtFhZiFf +qq8nUeVuGxbULX1QsFN3vXg6YOJkApt8hpvWGo6t/x8Vf9WVHhLL5hSEBMHfNrMW +n4rjyduYNM7YMxcoRvynyfDStNVNCXJJ+fKH46nafaF9a7I6JaltUkSs+L5u+9ym 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O=DigiCert Inc OU=www.digicert.com +# Label: "DigiCert Assured ID Root G2" +# Serial: 15385348160840213938643033620894905419 +# MD5 Fingerprint: 92:38:b9:f8:63:24:82:65:2c:57:33:e6:fe:81:8f:9d +# SHA1 Fingerprint: a1:4b:48:d9:43:ee:0a:0e:40:90:4f:3c:e0:a4:c0:91:93:51:5d:3f +# SHA256 Fingerprint: 7d:05:eb:b6:82:33:9f:8c:94:51:ee:09:4e:eb:fe:fa:79:53:a1:14:ed:b2:f4:49:49:45:2f:ab:7d:2f:c1:85 +-----BEGIN CERTIFICATE----- +MIIDljCCAn6gAwIBAgIQC5McOtY5Z+pnI7/Dr5r0SzANBgkqhkiG9w0BAQsFADBl +MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3 +d3cuZGlnaWNlcnQuY29tMSQwIgYDVQQDExtEaWdpQ2VydCBBc3N1cmVkIElEIFJv +b3QgRzIwHhcNMTMwODAxMTIwMDAwWhcNMzgwMTE1MTIwMDAwWjBlMQswCQYDVQQG +EwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3d3cuZGlnaWNl +cnQuY29tMSQwIgYDVQQDExtEaWdpQ2VydCBBc3N1cmVkIElEIFJvb3QgRzIwggEi +MA0GCSqGSIb3DQEBAQUAA4IBDwAwggEKAoIBAQDZ5ygvUj82ckmIkzTz+GoeMVSA +n61UQbVH35ao1K+ALbkKz3X9iaV9JPrjIgwrvJUXCzO/GU1BBpAAvQxNEP4Htecc 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15459312981008553731928384953135426796 +# MD5 Fingerprint: 7c:7f:65:31:0c:81:df:8d:ba:3e:99:e2:5c:ad:6e:fb +# SHA1 Fingerprint: f5:17:a2:4f:9a:48:c6:c9:f8:a2:00:26:9f:dc:0f:48:2c:ab:30:89 +# SHA256 Fingerprint: 7e:37:cb:8b:4c:47:09:0c:ab:36:55:1b:a6:f4:5d:b8:40:68:0f:ba:16:6a:95:2d:b1:00:71:7f:43:05:3f:c2 +-----BEGIN CERTIFICATE----- +MIICRjCCAc2gAwIBAgIQC6Fa+h3foLVJRK/NJKBs7DAKBggqhkjOPQQDAzBlMQsw +CQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3d3cu +ZGlnaWNlcnQuY29tMSQwIgYDVQQDExtEaWdpQ2VydCBBc3N1cmVkIElEIFJvb3Qg +RzMwHhcNMTMwODAxMTIwMDAwWhcNMzgwMTE1MTIwMDAwWjBlMQswCQYDVQQGEwJV +UzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3d3cuZGlnaWNlcnQu +Y29tMSQwIgYDVQQDExtEaWdpQ2VydCBBc3N1cmVkIElEIFJvb3QgRzMwdjAQBgcq +hkjOPQIBBgUrgQQAIgNiAAQZ57ysRGXtzbg/WPuNsVepRC0FFfLvC/8QdJ+1YlJf +Zn4f5dwbRXkLzMZTCp2NXQLZqVneAlr2lSoOjThKiknGvMYDOAdfVdp+CW7if17Q +RSAPWXYQ1qAk8C3eNvJsKTmjQjBAMA8GA1UdEwEB/wQFMAMBAf8wDgYDVR0PAQH/ +BAQDAgGGMB0GA1UdDgQWBBTL0L2p4ZgFUaFNN6KDec6NHSrkhDAKBggqhkjOPQQD 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+-----END CERTIFICATE----- + +# Issuer: CN=DigiCert Global Root G3 O=DigiCert Inc OU=www.digicert.com +# Subject: CN=DigiCert Global Root G3 O=DigiCert Inc OU=www.digicert.com +# Label: "DigiCert Global Root G3" +# Serial: 7089244469030293291760083333884364146 +# MD5 Fingerprint: f5:5d:a4:50:a5:fb:28:7e:1e:0f:0d:cc:96:57:56:ca +# SHA1 Fingerprint: 7e:04:de:89:6a:3e:66:6d:00:e6:87:d3:3f:fa:d9:3b:e8:3d:34:9e +# SHA256 Fingerprint: 31:ad:66:48:f8:10:41:38:c7:38:f3:9e:a4:32:01:33:39:3e:3a:18:cc:02:29:6e:f9:7c:2a:c9:ef:67:31:d0 +-----BEGIN CERTIFICATE----- +MIICPzCCAcWgAwIBAgIQBVVWvPJepDU1w6QP1atFcjAKBggqhkjOPQQDAzBhMQsw +CQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3d3cu +ZGlnaWNlcnQuY29tMSAwHgYDVQQDExdEaWdpQ2VydCBHbG9iYWwgUm9vdCBHMzAe +Fw0xMzA4MDExMjAwMDBaFw0zODAxMTUxMjAwMDBaMGExCzAJBgNVBAYTAlVTMRUw +EwYDVQQKEwxEaWdpQ2VydCBJbmMxGTAXBgNVBAsTEHd3dy5kaWdpY2VydC5jb20x +IDAeBgNVBAMTF0RpZ2lDZXJ0IEdsb2JhbCBSb290IEczMHYwEAYHKoZIzj0CAQYF 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+MIIFkDCCA3igAwIBAgIQBZsbV56OITLiOQe9p3d1XDANBgkqhkiG9w0BAQwFADBi +MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3 +d3cuZGlnaWNlcnQuY29tMSEwHwYDVQQDExhEaWdpQ2VydCBUcnVzdGVkIFJvb3Qg +RzQwHhcNMTMwODAxMTIwMDAwWhcNMzgwMTE1MTIwMDAwWjBiMQswCQYDVQQGEwJV +UzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3d3cuZGlnaWNlcnQu +Y29tMSEwHwYDVQQDExhEaWdpQ2VydCBUcnVzdGVkIFJvb3QgRzQwggIiMA0GCSqG +SIb3DQEBAQUAA4ICDwAwggIKAoICAQC/5pBzaN675F1KPDAiMGkz7MKnJS7JIT3y +ithZwuEppz1Yq3aaza57G4QNxDAf8xukOBbrVsaXbR2rsnnyyhHS5F/WBTxSD1If +xp4VpX6+n6lXFllVcq9ok3DCsrp1mWpzMpTREEQQLt+C8weE5nQ7bXHiLQwb7iDV +ySAdYyktzuxeTsiT+CFhmzTrBcZe7FsavOvJz82sNEBfsXpm7nfISKhmV1efVFiO +DCu3T6cw2Vbuyntd463JT17lNecxy9qTXtyOj4DatpGYQJB5w3jHtrHEtWoYOAMQ +jdjUN6QuBX2I9YI+EJFwq1WCQTLX2wRzKm6RAXwhTNS8rhsDdV14Ztk6MUSaM0C/ +CNdaSaTC5qmgZ92kJ7yhTzm1EVgX9yRcRo9k98FpiHaYdj1ZXUJ2h4mXaXpI8OCi +EhtmmnTK3kse5w5jrubU75KSOp493ADkRSWJtppEGSt+wJS00mFt6zPZxd9LBADM +fRyVw4/3IbKyEbe7f/LVjHAsQWCqsWMYRJUadmJ+9oCw++hkpjPRiQfhvbfmQ6QY 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+ +# Issuer: CN=COMODO RSA Certification Authority O=COMODO CA Limited +# Subject: CN=COMODO RSA Certification Authority O=COMODO CA Limited +# Label: "COMODO RSA Certification Authority" +# Serial: 101909084537582093308941363524873193117 +# MD5 Fingerprint: 1b:31:b0:71:40:36:cc:14:36:91:ad:c4:3e:fd:ec:18 +# SHA1 Fingerprint: af:e5:d2:44:a8:d1:19:42:30:ff:47:9f:e2:f8:97:bb:cd:7a:8c:b4 +# SHA256 Fingerprint: 52:f0:e1:c4:e5:8e:c6:29:29:1b:60:31:7f:07:46:71:b8:5d:7e:a8:0d:5b:07:27:34:63:53:4b:32:b4:02:34 +-----BEGIN CERTIFICATE----- +MIIF2DCCA8CgAwIBAgIQTKr5yttjb+Af907YWwOGnTANBgkqhkiG9w0BAQwFADCB +hTELMAkGA1UEBhMCR0IxGzAZBgNVBAgTEkdyZWF0ZXIgTWFuY2hlc3RlcjEQMA4G +A1UEBxMHU2FsZm9yZDEaMBgGA1UEChMRQ09NT0RPIENBIExpbWl0ZWQxKzApBgNV +BAMTIkNPTU9ETyBSU0EgQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkwHhcNMTAwMTE5 +MDAwMDAwWhcNMzgwMTE4MjM1OTU5WjCBhTELMAkGA1UEBhMCR0IxGzAZBgNVBAgT +EkdyZWF0ZXIgTWFuY2hlc3RlcjEQMA4GA1UEBxMHU2FsZm9yZDEaMBgGA1UEChMR +Q09NT0RPIENBIExpbWl0ZWQxKzApBgNVBAMTIkNPTU9ETyBSU0EgQ2VydGlmaWNh 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Root CA - R4 +# Label: "GlobalSign ECC Root CA - R4" +# Serial: 14367148294922964480859022125800977897474 +# MD5 Fingerprint: 20:f0:27:68:d1:7e:a0:9d:0e:e6:2a:ca:df:5c:89:8e +# SHA1 Fingerprint: 69:69:56:2e:40:80:f4:24:a1:e7:19:9f:14:ba:f3:ee:58:ab:6a:bb +# SHA256 Fingerprint: be:c9:49:11:c2:95:56:76:db:6c:0a:55:09:86:d7:6e:3b:a0:05:66:7c:44:2c:97:62:b4:fb:b7:73:de:22:8c +-----BEGIN CERTIFICATE----- +MIIB4TCCAYegAwIBAgIRKjikHJYKBN5CsiilC+g0mAIwCgYIKoZIzj0EAwIwUDEk +MCIGA1UECxMbR2xvYmFsU2lnbiBFQ0MgUm9vdCBDQSAtIFI0MRMwEQYDVQQKEwpH +bG9iYWxTaWduMRMwEQYDVQQDEwpHbG9iYWxTaWduMB4XDTEyMTExMzAwMDAwMFoX +DTM4MDExOTAzMTQwN1owUDEkMCIGA1UECxMbR2xvYmFsU2lnbiBFQ0MgUm9vdCBD +QSAtIFI0MRMwEQYDVQQKEwpHbG9iYWxTaWduMRMwEQYDVQQDEwpHbG9iYWxTaWdu +MFkwEwYHKoZIzj0CAQYIKoZIzj0DAQcDQgAEuMZ5049sJQ6fLjkZHAOkrprlOQcJ +FspjsbmG+IpXwVfOQvpzofdlQv8ewQCybnMO/8ch5RikqtlxP6jUuc6MHaNCMEAw +DgYDVR0PAQH/BAQDAgEGMA8GA1UdEwEB/wQFMAMBAf8wHQYDVR0OBBYEFFSwe61F +uOJAf/sKbvu+M8k8o4TVMAoGCCqGSM49BAMCA0gAMEUCIQDckqGgE6bPA7DmxCGX 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OU=See www.entrust.net/legal-terms/(c) 2009 Entrust, Inc. - for authorized use only +# Subject: CN=Entrust Root Certification Authority - G2 O=Entrust, Inc. 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Authority +# Subject: CN=Hellenic Academic and Research Institutions RootCA 2015 O=Hellenic Academic and Research Institutions Cert. 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Authority +# Subject: CN=Hellenic Academic and Research Institutions ECC RootCA 2015 O=Hellenic Academic and Research Institutions Cert. Authority +# Label: "Hellenic Academic and Research Institutions ECC RootCA 2015" +# Serial: 0 +# MD5 Fingerprint: 81:e5:b4:17:eb:c2:f5:e1:4b:0d:41:7b:49:92:fe:ef +# SHA1 Fingerprint: 9f:f1:71:8d:92:d5:9a:f3:7d:74:97:b4:bc:6f:84:68:0b:ba:b6:66 +# SHA256 Fingerprint: 44:b5:45:aa:8a:25:e6:5a:73:ca:15:dc:27:fc:36:d2:4c:1c:b9:95:3a:06:65:39:b1:15:82:dc:48:7b:48:33 +-----BEGIN CERTIFICATE----- +MIICwzCCAkqgAwIBAgIBADAKBggqhkjOPQQDAjCBqjELMAkGA1UEBhMCR1IxDzAN +BgNVBAcTBkF0aGVuczFEMEIGA1UEChM7SGVsbGVuaWMgQWNhZGVtaWMgYW5kIFJl +c2VhcmNoIEluc3RpdHV0aW9ucyBDZXJ0LiBBdXRob3JpdHkxRDBCBgNVBAMTO0hl +bGxlbmljIEFjYWRlbWljIGFuZCBSZXNlYXJjaCBJbnN0aXR1dGlvbnMgRUNDIFJv +b3RDQSAyMDE1MB4XDTE1MDcwNzEwMzcxMloXDTQwMDYzMDEwMzcxMlowgaoxCzAJ +BgNVBAYTAkdSMQ8wDQYDVQQHEwZBdGhlbnMxRDBCBgNVBAoTO0hlbGxlbmljIEFj +YWRlbWljIGFuZCBSZXNlYXJjaCBJbnN0aXR1dGlvbnMgQ2VydC4gQXV0aG9yaXR5 +MUQwQgYDVQQDEztIZWxsZW5pYyBBY2FkZW1pYyBhbmQgUmVzZWFyY2ggSW5zdGl0 +dXRpb25zIEVDQyBSb290Q0EgMjAxNTB2MBAGByqGSM49AgEGBSuBBAAiA2IABJKg 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e3:5d:28:41:9e:d0:20:25:cf:a6:90:38:cd:62:39:62:45:8d:a5:c6:95:fb:de:a3:c2:2b:0b:fb:25:89:70:92 +-----BEGIN CERTIFICATE----- +MIIB8jCCAXigAwIBAgITBmyf18G7EEwpQ+Vxe3ssyBrBDjAKBggqhkjOPQQDAzA5 +MQswCQYDVQQGEwJVUzEPMA0GA1UEChMGQW1hem9uMRkwFwYDVQQDExBBbWF6b24g +Um9vdCBDQSA0MB4XDTE1MDUyNjAwMDAwMFoXDTQwMDUyNjAwMDAwMFowOTELMAkG +A1UEBhMCVVMxDzANBgNVBAoTBkFtYXpvbjEZMBcGA1UEAxMQQW1hem9uIFJvb3Qg +Q0EgNDB2MBAGByqGSM49AgEGBSuBBAAiA2IABNKrijdPo1MN/sGKe0uoe0ZLY7Bi +9i0b2whxIdIA6GO9mif78DluXeo9pcmBqqNbIJhFXRbb/egQbeOc4OO9X4Ri83Bk +M6DLJC9wuoihKqB1+IGuYgbEgds5bimwHvouXKNCMEAwDwYDVR0TAQH/BAUwAwEB +/zAOBgNVHQ8BAf8EBAMCAYYwHQYDVR0OBBYEFNPsxzplbszh2naaVvuc84ZtV+WB +MAoGCCqGSM49BAMDA2gAMGUCMDqLIfG9fhGt0O9Yli/W651+kI0rz2ZVwyzjKKlw +CkcO8DdZEv8tmZQoTipPNU0zWgIxAOp1AE47xDqUEpHJWEadIRNyp4iciuRMStuW +1KyLa2tJElMzrdfkviT8tQp21KW8EA== +-----END CERTIFICATE----- + +# Issuer: CN=TUBITAK Kamu SM SSL Kok Sertifikasi - Surum 1 O=Turkiye Bilimsel ve Teknolojik Arastirma Kurumu - TUBITAK OU=Kamu Sertifikasyon Merkezi - Kamu SM +# Subject: CN=TUBITAK Kamu SM SSL Kok Sertifikasi - Surum 1 O=Turkiye Bilimsel ve Teknolojik Arastirma Kurumu - TUBITAK OU=Kamu Sertifikasyon Merkezi - Kamu SM +# Label: "TUBITAK Kamu SM SSL Kok Sertifikasi - Surum 1" +# Serial: 1 +# MD5 Fingerprint: dc:00:81:dc:69:2f:3e:2f:b0:3b:f6:3d:5a:91:8e:49 +# SHA1 Fingerprint: 31:43:64:9b:ec:ce:27:ec:ed:3a:3f:0b:8f:0d:e4:e8:91:dd:ee:ca +# SHA256 Fingerprint: 46:ed:c3:68:90:46:d5:3a:45:3f:b3:10:4a:b8:0d:ca:ec:65:8b:26:60:ea:16:29:dd:7e:86:79:90:64:87:16 +-----BEGIN CERTIFICATE----- +MIIEYzCCA0ugAwIBAgIBATANBgkqhkiG9w0BAQsFADCB0jELMAkGA1UEBhMCVFIx +GDAWBgNVBAcTD0dlYnplIC0gS29jYWVsaTFCMEAGA1UEChM5VHVya2l5ZSBCaWxp +bXNlbCB2ZSBUZWtub2xvamlrIEFyYXN0aXJtYSBLdXJ1bXUgLSBUVUJJVEFLMS0w +KwYDVQQLEyRLYW11IFNlcnRpZmlrYXN5b24gTWVya2V6aSAtIEthbXUgU00xNjA0 +BgNVBAMTLVRVQklUQUsgS2FtdSBTTSBTU0wgS29rIFNlcnRpZmlrYXNpIC0gU3Vy +dW0gMTAeFw0xMzExMjUwODI1NTVaFw00MzEwMjUwODI1NTVaMIHSMQswCQYDVQQG +EwJUUjEYMBYGA1UEBxMPR2ViemUgLSBLb2NhZWxpMUIwQAYDVQQKEzlUdXJraXll 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OU=TrustCor Certificate Authority +# Subject: CN=TrustCor RootCert CA-1 O=TrustCor Systems S. de R.L. OU=TrustCor Certificate Authority +# Label: "TrustCor RootCert CA-1" +# Serial: 15752444095811006489 +# MD5 Fingerprint: 6e:85:f1:dc:1a:00:d3:22:d5:b2:b2:ac:6b:37:05:45 +# SHA1 Fingerprint: ff:bd:cd:e7:82:c8:43:5e:3c:6f:26:86:5c:ca:a8:3a:45:5b:c3:0a +# SHA256 Fingerprint: d4:0e:9c:86:cd:8f:e4:68:c1:77:69:59:f4:9e:a7:74:fa:54:86:84:b6:c4:06:f3:90:92:61:f4:dc:e2:57:5c +-----BEGIN CERTIFICATE----- +MIIEMDCCAxigAwIBAgIJANqb7HHzA7AZMA0GCSqGSIb3DQEBCwUAMIGkMQswCQYD +VQQGEwJQQTEPMA0GA1UECAwGUGFuYW1hMRQwEgYDVQQHDAtQYW5hbWEgQ2l0eTEk +MCIGA1UECgwbVHJ1c3RDb3IgU3lzdGVtcyBTLiBkZSBSLkwuMScwJQYDVQQLDB5U +cnVzdENvciBDZXJ0aWZpY2F0ZSBBdXRob3JpdHkxHzAdBgNVBAMMFlRydXN0Q29y +IFJvb3RDZXJ0IENBLTEwHhcNMTYwMjA0MTIzMjE2WhcNMjkxMjMxMTcyMzE2WjCB +pDELMAkGA1UEBhMCUEExDzANBgNVBAgMBlBhbmFtYTEUMBIGA1UEBwwLUGFuYW1h +IENpdHkxJDAiBgNVBAoMG1RydXN0Q29yIFN5c3RlbXMgUy4gZGUgUi5MLjEnMCUG +A1UECwweVHJ1c3RDb3IgQ2VydGlmaWNhdGUgQXV0aG9yaXR5MR8wHQYDVQQDDBZU +cnVzdENvciBSb290Q2VydCBDQS0xMIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIB +CgKCAQEAv463leLCJhJrMxnHQFgKq1mqjQCj/IDHUHuO1CAmujIS2CNUSSUQIpid +RtLByZ5OGy4sDjjzGiVoHKZaBeYei0i/mJZ0PmnK6bV4pQa81QBeCQryJ3pS/C3V +seq0iWEk8xoT26nPUu0MJLq5nux+AHT6k61sKZKuUbS701e/s/OojZz0JEsq1pme +9J7+wH5COucLlVPat2gOkEz7cD+PSiyU8ybdY2mplNgQTsVHCJCZGxdNuWxu72CV +EY4hgLW9oHPY0LJ3xEXqWib7ZnZ2+AYfYW0PVcWDtxBWcgYHpfOxGgMFZA6dWorW +hnAbJN7+KIor0Gqw/Hqi3LJ5DotlDwIDAQABo2MwYTAdBgNVHQ4EFgQU7mtJPHo/ +DeOxCbeKyKsZn3MzUOcwHwYDVR0jBBgwFoAU7mtJPHo/DeOxCbeKyKsZn3MzUOcw +DwYDVR0TAQH/BAUwAwEB/zAOBgNVHQ8BAf8EBAMCAYYwDQYJKoZIhvcNAQELBQAD +ggEBACUY1JGPE+6PHh0RU9otRCkZoB5rMZ5NDp6tPVxBb5UrJKF5mDo4Nvu7Zp5I +/5CQ7z3UuJu0h3U/IJvOcs+hVcFNZKIZBqEHMwwLKeXx6quj7LUKdJDHfXLy11yf +ke+Ri7fc7Waiz45mO7yfOgLgJ90WmMCV1Aqk5IGadZQ1nJBfiDcGrVmVCrDRZ9MZ +yonnMlo2HD6CqFqTvsbQZJG2z9m2GM/bftJlo6bEjhcxwft+dtvTheNYsnd6djts +L1Ac59v2Z3kf9YKVmgenFK+P3CghZwnS1k1aHBkcjndcw5QkPTJrS37UeJSDvjdN +zl/HHk484IkzlQsPpTLWPFp5LBk= +-----END CERTIFICATE----- + +# Issuer: CN=TrustCor RootCert CA-2 O=TrustCor Systems S. de R.L. OU=TrustCor Certificate Authority +# Subject: CN=TrustCor RootCert CA-2 O=TrustCor Systems S. de R.L. OU=TrustCor Certificate Authority +# Label: "TrustCor RootCert CA-2" +# Serial: 2711694510199101698 +# MD5 Fingerprint: a2:e1:f8:18:0b:ba:45:d5:c7:41:2a:bb:37:52:45:64 +# SHA1 Fingerprint: b8:be:6d:cb:56:f1:55:b9:63:d4:12:ca:4e:06:34:c7:94:b2:1c:c0 +# SHA256 Fingerprint: 07:53:e9:40:37:8c:1b:d5:e3:83:6e:39:5d:ae:a5:cb:83:9e:50:46:f1:bd:0e:ae:19:51:cf:10:fe:c7:c9:65 +-----BEGIN CERTIFICATE----- +MIIGLzCCBBegAwIBAgIIJaHfyjPLWQIwDQYJKoZIhvcNAQELBQAwgaQxCzAJBgNV +BAYTAlBBMQ8wDQYDVQQIDAZQYW5hbWExFDASBgNVBAcMC1BhbmFtYSBDaXR5MSQw +IgYDVQQKDBtUcnVzdENvciBTeXN0ZW1zIFMuIGRlIFIuTC4xJzAlBgNVBAsMHlRy +dXN0Q29yIENlcnRpZmljYXRlIEF1dGhvcml0eTEfMB0GA1UEAwwWVHJ1c3RDb3Ig +Um9vdENlcnQgQ0EtMjAeFw0xNjAyMDQxMjMyMjNaFw0zNDEyMzExNzI2MzlaMIGk +MQswCQYDVQQGEwJQQTEPMA0GA1UECAwGUGFuYW1hMRQwEgYDVQQHDAtQYW5hbWEg +Q2l0eTEkMCIGA1UECgwbVHJ1c3RDb3IgU3lzdGVtcyBTLiBkZSBSLkwuMScwJQYD +VQQLDB5UcnVzdENvciBDZXJ0aWZpY2F0ZSBBdXRob3JpdHkxHzAdBgNVBAMMFlRy +dXN0Q29yIFJvb3RDZXJ0IENBLTIwggIiMA0GCSqGSIb3DQEBAQUAA4ICDwAwggIK +AoICAQCnIG7CKqJiJJWQdsg4foDSq8GbZQWU9MEKENUCrO2fk8eHyLAnK0IMPQo+ +QVqedd2NyuCb7GgypGmSaIwLgQ5WoD4a3SwlFIIvl9NkRvRUqdw6VC0xK5mC8tkq +1+9xALgxpL56JAfDQiDyitSSBBtlVkxs1Pu2YVpHI7TYabS3OtB0PAx1oYxOdqHp +2yqlO/rOsP9+aij9JxzIsekp8VduZLTQwRVtDr4uDkbIXvRR/u8OYzo7cbrPb1nK +DOObXUm4TOJXsZiKQlecdu/vvdFoqNL0Cbt3Nb4lggjEFixEIFapRBF37120Hape +az6LMvYHL1cEksr1/p3C6eizjkxLAjHZ5DxIgif3GIJ2SDpxsROhOdUuxTTCHWKF +3wP+TfSvPd9cW436cOGlfifHhi5qjxLGhF5DUVCcGZt45vz27Ud+ez1m7xMTiF88 +oWP7+ayHNZ/zgp6kPwqcMWmLmaSISo5uZk3vFsQPeSghYA2FFn3XVDjxklb9tTNM +g9zXEJ9L/cb4Qr26fHMC4P99zVvh1Kxhe1fVSntb1IVYJ12/+CtgrKAmrhQhJ8Z3 +mjOAPF5GP/fDsaOGM8boXg25NSyqRsGFAnWAoOsk+xWq5Gd/bnc/9ASKL3x74xdh +8N0JqSDIvgmk0H5Ew7IwSjiqqewYmgeCK9u4nBit2uBGF6zPXQIDAQABo2MwYTAd +BgNVHQ4EFgQU2f4hQG6UnrybPZx9mCAZ5YwwYrIwHwYDVR0jBBgwFoAU2f4hQG6U +nrybPZx9mCAZ5YwwYrIwDwYDVR0TAQH/BAUwAwEB/zAOBgNVHQ8BAf8EBAMCAYYw +DQYJKoZIhvcNAQELBQADggIBAJ5Fngw7tu/hOsh80QA9z+LqBrWyOrsGS2h60COX +dKcs8AjYeVrXWoSK2BKaG9l9XE1wxaX5q+WjiYndAfrs3fnpkpfbsEZC89NiqpX+ +MWcUaViQCqoL7jcjx1BRtPV+nuN79+TMQjItSQzL/0kMmx40/W5ulop5A7Zv2wnL +/V9lFDfhOPXzYRZY5LVtDQsEGz9QLX+zx3oaFoBg+Iof6Rsqxvm6ARppv9JYx1RX +CI/hOWB3S6xZhBqI8d3LT3jX5+EzLfzuQfogsL7L9ziUwOHQhQ+77Sxzq+3+knYa +ZH9bDTMJBzN7Bj8RpFxwPIXAz+OQqIN3+tvmxYxoZxBnpVIt8MSZj3+/0WvitUfW +2dCFmU2Umw9Lje4AWkcdEQOsQRivh7dvDDqPys/cA8GiCcjl/YBeyGBCARsaU1q7 +N6a3vLqE6R5sGtRk2tRD/pOLS/IseRYQ1JMLiI+h2IYURpFHmygk71dSTlxCnKr3 +Sewn6EAes6aJInKc9Q0ztFijMDvd1GpUk74aTfOTlPf8hAs/hCBcNANExdqtvArB +As8e5ZTZ845b2EzwnexhF7sUMlQMAimTHpKG9n/v55IFDlndmQguLvqcAFLTxWYp +5KeXRKQOKIETNcX2b2TmQcTVL8w0RSXPQQCWPUouwpaYT05KnJe32x+SMsj/D1Fu +1uwJ +-----END CERTIFICATE----- + +# Issuer: CN=TrustCor ECA-1 O=TrustCor Systems S. de R.L. OU=TrustCor Certificate Authority +# Subject: CN=TrustCor ECA-1 O=TrustCor Systems S. de R.L. OU=TrustCor Certificate Authority +# Label: "TrustCor ECA-1" +# Serial: 9548242946988625984 +# MD5 Fingerprint: 27:92:23:1d:0a:f5:40:7c:e9:e6:6b:9d:d8:f5:e7:6c +# SHA1 Fingerprint: 58:d1:df:95:95:67:6b:63:c0:f0:5b:1c:17:4d:8b:84:0b:c8:78:bd +# SHA256 Fingerprint: 5a:88:5d:b1:9c:01:d9:12:c5:75:93:88:93:8c:af:bb:df:03:1a:b2:d4:8e:91:ee:15:58:9b:42:97:1d:03:9c +-----BEGIN CERTIFICATE----- +MIIEIDCCAwigAwIBAgIJAISCLF8cYtBAMA0GCSqGSIb3DQEBCwUAMIGcMQswCQYD +VQQGEwJQQTEPMA0GA1UECAwGUGFuYW1hMRQwEgYDVQQHDAtQYW5hbWEgQ2l0eTEk +MCIGA1UECgwbVHJ1c3RDb3IgU3lzdGVtcyBTLiBkZSBSLkwuMScwJQYDVQQLDB5U +cnVzdENvciBDZXJ0aWZpY2F0ZSBBdXRob3JpdHkxFzAVBgNVBAMMDlRydXN0Q29y +IEVDQS0xMB4XDTE2MDIwNDEyMzIzM1oXDTI5MTIzMTE3MjgwN1owgZwxCzAJBgNV +BAYTAlBBMQ8wDQYDVQQIDAZQYW5hbWExFDASBgNVBAcMC1BhbmFtYSBDaXR5MSQw +IgYDVQQKDBtUcnVzdENvciBTeXN0ZW1zIFMuIGRlIFIuTC4xJzAlBgNVBAsMHlRy +dXN0Q29yIENlcnRpZmljYXRlIEF1dGhvcml0eTEXMBUGA1UEAwwOVHJ1c3RDb3Ig +RUNBLTEwggEiMA0GCSqGSIb3DQEBAQUAA4IBDwAwggEKAoIBAQDPj+ARtZ+odnbb 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Certification Authority RSA O=SSL Corporation +# Label: "SSL.com Root Certification Authority RSA" +# Serial: 8875640296558310041 +# MD5 Fingerprint: 86:69:12:c0:70:f1:ec:ac:ac:c2:d5:bc:a5:5b:a1:29 +# SHA1 Fingerprint: b7:ab:33:08:d1:ea:44:77:ba:14:80:12:5a:6f:bd:a9:36:49:0c:bb +# SHA256 Fingerprint: 85:66:6a:56:2e:e0:be:5c:e9:25:c1:d8:89:0a:6f:76:a8:7e:c1:6d:4d:7d:5f:29:ea:74:19:cf:20:12:3b:69 +-----BEGIN CERTIFICATE----- +MIIF3TCCA8WgAwIBAgIIeyyb0xaAMpkwDQYJKoZIhvcNAQELBQAwfDELMAkGA1UE +BhMCVVMxDjAMBgNVBAgMBVRleGFzMRAwDgYDVQQHDAdIb3VzdG9uMRgwFgYDVQQK +DA9TU0wgQ29ycG9yYXRpb24xMTAvBgNVBAMMKFNTTC5jb20gUm9vdCBDZXJ0aWZp +Y2F0aW9uIEF1dGhvcml0eSBSU0EwHhcNMTYwMjEyMTczOTM5WhcNNDEwMjEyMTcz +OTM5WjB8MQswCQYDVQQGEwJVUzEOMAwGA1UECAwFVGV4YXMxEDAOBgNVBAcMB0hv +dXN0b24xGDAWBgNVBAoMD1NTTCBDb3Jwb3JhdGlvbjExMC8GA1UEAwwoU1NMLmNv +bSBSb290IENlcnRpZmljYXRpb24gQXV0aG9yaXR5IFJTQTCCAiIwDQYJKoZIhvcN +AQEBBQADggIPADCCAgoCggIBAPkP3aMrfcvQKv7sZ4Wm5y4bunfh4/WvpOz6Sl2R 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34:17:bb:06:cc:60:07:da:1b:96:1c:92:0b:8a:b4:ce:3f:ad:82:0e:4a:a3:0b:9a:cb:c4:a7:4e:bd:ce:bc:65 +-----BEGIN CERTIFICATE----- +MIICjTCCAhSgAwIBAgIIdebfy8FoW6gwCgYIKoZIzj0EAwIwfDELMAkGA1UEBhMC +VVMxDjAMBgNVBAgMBVRleGFzMRAwDgYDVQQHDAdIb3VzdG9uMRgwFgYDVQQKDA9T +U0wgQ29ycG9yYXRpb24xMTAvBgNVBAMMKFNTTC5jb20gUm9vdCBDZXJ0aWZpY2F0 +aW9uIEF1dGhvcml0eSBFQ0MwHhcNMTYwMjEyMTgxNDAzWhcNNDEwMjEyMTgxNDAz +WjB8MQswCQYDVQQGEwJVUzEOMAwGA1UECAwFVGV4YXMxEDAOBgNVBAcMB0hvdXN0 +b24xGDAWBgNVBAoMD1NTTCBDb3Jwb3JhdGlvbjExMC8GA1UEAwwoU1NMLmNvbSBS +b290IENlcnRpZmljYXRpb24gQXV0aG9yaXR5IEVDQzB2MBAGByqGSM49AgEGBSuB +BAAiA2IABEVuqVDEpiM2nl8ojRfLliJkP9x6jh3MCLOicSS6jkm5BBtHllirLZXI +7Z4INcgn64mMU1jrYor+8FsPazFSY0E7ic3s7LaNGdM0B9y7xgZ/wkWV7Mt/qCPg +CemB+vNH06NjMGEwHQYDVR0OBBYEFILRhXMw5zUE044CkvvlpNHEIejNMA8GA1Ud +EwEB/wQFMAMBAf8wHwYDVR0jBBgwFoAUgtGFczDnNQTTjgKS++Wk0cQh6M0wDgYD +VR0PAQH/BAQDAgGGMAoGCCqGSM49BAMCA2cAMGQCMG/n61kRpGDPYbCWe+0F+S8T +kdzt5fxQaxFGRrMcIQBiu77D5+jNB5n5DQtdcj7EqgIwH7y6C+IwJPt8bYBVCpk+ 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Authority ECC" +# Serial: 3182246526754555285 +# MD5 Fingerprint: 59:53:22:65:83:42:01:54:c0:ce:42:b9:5a:7c:f2:90 +# SHA1 Fingerprint: 4c:dd:51:a3:d1:f5:20:32:14:b0:c6:c5:32:23:03:91:c7:46:42:6d +# SHA256 Fingerprint: 22:a2:c1:f7:bd:ed:70:4c:c1:e7:01:b5:f4:08:c3:10:88:0f:e9:56:b5:de:2a:4a:44:f9:9c:87:3a:25:a7:c8 +-----BEGIN CERTIFICATE----- +MIIClDCCAhqgAwIBAgIILCmcWxbtBZUwCgYIKoZIzj0EAwIwfzELMAkGA1UEBhMC +VVMxDjAMBgNVBAgMBVRleGFzMRAwDgYDVQQHDAdIb3VzdG9uMRgwFgYDVQQKDA9T +U0wgQ29ycG9yYXRpb24xNDAyBgNVBAMMK1NTTC5jb20gRVYgUm9vdCBDZXJ0aWZp +Y2F0aW9uIEF1dGhvcml0eSBFQ0MwHhcNMTYwMjEyMTgxNTIzWhcNNDEwMjEyMTgx +NTIzWjB/MQswCQYDVQQGEwJVUzEOMAwGA1UECAwFVGV4YXMxEDAOBgNVBAcMB0hv +dXN0b24xGDAWBgNVBAoMD1NTTCBDb3Jwb3JhdGlvbjE0MDIGA1UEAwwrU1NMLmNv +bSBFViBSb290IENlcnRpZmljYXRpb24gQXV0aG9yaXR5IEVDQzB2MBAGByqGSM49 +AgEGBSuBBAAiA2IABKoSR5CYG/vvw0AHgyBO8TCCogbR8pKGYfL2IWjKAMTH6kMA +VIbc/R/fALhBYlzccBYy3h+Z1MzFB8gIH2EWB1E9fVwHU+M1OIzfzZ/ZLg1Kthku 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OU=OISTE Foundation Endorsed +# Label: "OISTE WISeKey Global Root GC CA" +# Serial: 44084345621038548146064804565436152554 +# MD5 Fingerprint: a9:d6:b9:2d:2f:93:64:f8:a5:69:ca:91:e9:68:07:23 +# SHA1 Fingerprint: e0:11:84:5e:34:de:be:88:81:b9:9c:f6:16:26:d1:96:1f:c3:b9:31 +# SHA256 Fingerprint: 85:60:f9:1c:36:24:da:ba:95:70:b5:fe:a0:db:e3:6f:f1:1a:83:23:be:94:86:85:4f:b3:f3:4a:55:71:19:8d +-----BEGIN CERTIFICATE----- +MIICaTCCAe+gAwIBAgIQISpWDK7aDKtARb8roi066jAKBggqhkjOPQQDAzBtMQsw +CQYDVQQGEwJDSDEQMA4GA1UEChMHV0lTZUtleTEiMCAGA1UECxMZT0lTVEUgRm91 +bmRhdGlvbiBFbmRvcnNlZDEoMCYGA1UEAxMfT0lTVEUgV0lTZUtleSBHbG9iYWwg +Um9vdCBHQyBDQTAeFw0xNzA1MDkwOTQ4MzRaFw00MjA1MDkwOTU4MzNaMG0xCzAJ +BgNVBAYTAkNIMRAwDgYDVQQKEwdXSVNlS2V5MSIwIAYDVQQLExlPSVNURSBGb3Vu +ZGF0aW9uIEVuZG9yc2VkMSgwJgYDVQQDEx9PSVNURSBXSVNlS2V5IEdsb2JhbCBS +b290IEdDIENBMHYwEAYHKoZIzj0CAQYFK4EEACIDYgAETOlQwMYPchi82PG6s4ni +eUqjFqdrVCTbUf/q9Akkwwsin8tqJ4KBDdLArzHkdIJuyiXZjHWd8dvQmqJLIX4W 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269714418870597844693661054334862075617 +# MD5 Fingerprint: 0e:5c:30:62:27:eb:5b:bc:d7:ae:62:ba:e9:d5:df:77 +# SHA1 Fingerprint: 2d:0d:52:14:ff:9e:ad:99:24:01:74:20:47:6e:6c:85:27:27:f5:43 +# SHA256 Fingerprint: d4:8d:3d:23:ee:db:50:a4:59:e5:51:97:60:1c:27:77:4b:9d:7b:18:c9:4d:5a:05:95:11:a1:02:50:b9:31:68 +-----BEGIN CERTIFICATE----- +MIIGWzCCBEOgAwIBAgIRAMrpG4nxVQMNo+ZBbcTjpuEwDQYJKoZIhvcNAQELBQAw +WjELMAkGA1UEBhMCRlIxEjAQBgNVBAoMCURoaW15b3RpczEcMBoGA1UECwwTMDAw +MiA0ODE0NjMwODEwMDAzNjEZMBcGA1UEAwwQQ2VydGlnbmEgUm9vdCBDQTAeFw0x +MzEwMDEwODMyMjdaFw0zMzEwMDEwODMyMjdaMFoxCzAJBgNVBAYTAkZSMRIwEAYD +VQQKDAlEaGlteW90aXMxHDAaBgNVBAsMEzAwMDIgNDgxNDYzMDgxMDAwMzYxGTAX +BgNVBAMMEENlcnRpZ25hIFJvb3QgQ0EwggIiMA0GCSqGSIb3DQEBAQUAA4ICDwAw +ggIKAoICAQDNGDllGlmx6mQWDoyUJJV8g9PFOSbcDO8WV43X2KyjQn+Cyu3NW9sO +ty3tRQgXstmzy9YXUnIo245Onoq2C/mehJpNdt4iKVzSs9IGPjA5qXSjklYcoW9M +CiBtnyN6tMbaLOQdLNyzKNAT8kxOAkmhVECe5uUFoC2EyP+YbNDrihqECB63aCPu +I9Vwzm1RaRDuoXrC0SIxwoKF0vJVdlB8JXrJhFwLrN1CTivngqIkicuQstDuI7pm 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+# SHA256 Fingerprint: 40:f6:af:03:46:a9:9a:a1:cd:1d:55:5a:4e:9c:ce:62:c7:f9:63:46:03:ee:40:66:15:83:3d:c8:c8:d0:03:67 +-----BEGIN CERTIFICATE----- +MIIDlDCCAnygAwIBAgIKMfXkYgxsWO3W2DANBgkqhkiG9w0BAQsFADBnMQswCQYD +VQQGEwJJTjETMBEGA1UECxMKZW1TaWduIFBLSTElMCMGA1UEChMcZU11ZGhyYSBU +ZWNobm9sb2dpZXMgTGltaXRlZDEcMBoGA1UEAxMTZW1TaWduIFJvb3QgQ0EgLSBH +MTAeFw0xODAyMTgxODMwMDBaFw00MzAyMTgxODMwMDBaMGcxCzAJBgNVBAYTAklO +MRMwEQYDVQQLEwplbVNpZ24gUEtJMSUwIwYDVQQKExxlTXVkaHJhIFRlY2hub2xv +Z2llcyBMaW1pdGVkMRwwGgYDVQQDExNlbVNpZ24gUm9vdCBDQSAtIEcxMIIBIjAN +BgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAk0u76WaK7p1b1TST0Bsew+eeuGQz +f2N4aLTNLnF115sgxk0pvLZoYIr3IZpWNVrzdr3YzZr/k1ZLpVkGoZM0Kd0WNHVO +8oG0x5ZOrRkVUkr+PHB1cM2vK6sVmjM8qrOLqs1D/fXqcP/tzxE7lM5OMhbTI0Aq +d7OvPAEsbO2ZLIvZTmmYsvePQbAyeGHWDV/D+qJAkh1cF+ZwPjXnorfCYuKrpDhM +tTk1b+oDafo6VGiFbdbyL0NVHpENDtjVaqSW0RM8LHhQ6DqS0hdW5TUaQBw+jSzt +Od9C4INBdN+jzcKGYEho42kLVACL5HZpIQ15TjQIXhTCzLG3rdd8cIrHhQIDAQAB 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86:a1:ec:ba:08:9c:4a:8d:3b:be:27:34:c6:12:ba:34:1d:81:3e:04:3c:f9:e8:a8:62:cd:5c:57:a3:6b:be:6b +-----BEGIN CERTIFICATE----- +MIICTjCCAdOgAwIBAgIKPPYHqWhwDtqLhDAKBggqhkjOPQQDAzBrMQswCQYDVQQG +EwJJTjETMBEGA1UECxMKZW1TaWduIFBLSTElMCMGA1UEChMcZU11ZGhyYSBUZWNo +bm9sb2dpZXMgTGltaXRlZDEgMB4GA1UEAxMXZW1TaWduIEVDQyBSb290IENBIC0g +RzMwHhcNMTgwMjE4MTgzMDAwWhcNNDMwMjE4MTgzMDAwWjBrMQswCQYDVQQGEwJJ +TjETMBEGA1UECxMKZW1TaWduIFBLSTElMCMGA1UEChMcZU11ZGhyYSBUZWNobm9s +b2dpZXMgTGltaXRlZDEgMB4GA1UEAxMXZW1TaWduIEVDQyBSb290IENBIC0gRzMw +djAQBgcqhkjOPQIBBgUrgQQAIgNiAAQjpQy4LRL1KPOxst3iAhKAnjlfSU2fySU0 +WXTsuwYc58Byr+iuL+FBVIcUqEqy6HyC5ltqtdyzdc6LBtCGI79G1Y4PPwT01xyS +fvalY8L1X44uT6EYGQIrMgqCZH0Wk9GjQjBAMB0GA1UdDgQWBBR8XQKEE9TMipuB +zhccLikenEhjQjAOBgNVHQ8BAf8EBAMCAQYwDwYDVR0TAQH/BAUwAwEB/zAKBggq +hkjOPQQDAwNpADBmAjEAvvNhzwIQHWSVB7gYboiFBS+DCBeQyh+KTOgNG3qxrdWB +CUfvO6wIBHxcmbHtRwfSAjEAnbpV/KlK6O3t5nYBQnvI+GDZjVGLVTv7jHvrZQnD ++JbNR6iC8hZVdyR+EhCVBCyj +-----END CERTIFICATE----- + +# Issuer: CN=emSign Root CA - C1 O=eMudhra Inc OU=emSign PKI +# Subject: CN=emSign Root CA - C1 O=eMudhra Inc OU=emSign PKI +# Label: "emSign Root CA - C1" +# Serial: 825510296613316004955058 +# MD5 Fingerprint: d8:e3:5d:01:21:fa:78:5a:b0:df:ba:d2:ee:2a:5f:68 +# SHA1 Fingerprint: e7:2e:f1:df:fc:b2:09:28:cf:5d:d4:d5:67:37:b1:51:cb:86:4f:01 +# SHA256 Fingerprint: 12:56:09:aa:30:1d:a0:a2:49:b9:7a:82:39:cb:6a:34:21:6f:44:dc:ac:9f:39:54:b1:42:92:f2:e8:c8:60:8f +-----BEGIN CERTIFICATE----- +MIIDczCCAlugAwIBAgILAK7PALrEzzL4Q7IwDQYJKoZIhvcNAQELBQAwVjELMAkG +A1UEBhMCVVMxEzARBgNVBAsTCmVtU2lnbiBQS0kxFDASBgNVBAoTC2VNdWRocmEg +SW5jMRwwGgYDVQQDExNlbVNpZ24gUm9vdCBDQSAtIEMxMB4XDTE4MDIxODE4MzAw +MFoXDTQzMDIxODE4MzAwMFowVjELMAkGA1UEBhMCVVMxEzARBgNVBAsTCmVtU2ln +biBQS0kxFDASBgNVBAoTC2VNdWRocmEgSW5jMRwwGgYDVQQDExNlbVNpZ24gUm9v +dCBDQSAtIEMxMIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAz+upufGZ +BczYKCFK83M0UYRWEPWgTywS4/oTmifQz/l5GnRfHXk5/Fv4cI7gklL35CX5VIPZ +HdPIWoU/Xse2B+4+wM6ar6xWQio5JXDWv7V7Nq2s9nPczdcdioOl+yuQFTdrHCZH 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SHA1 Fingerprint: b6:af:43:c2:9b:81:53:7d:f6:ef:6b:c3:1f:1f:60:15:0c:ee:48:66 +# SHA256 Fingerprint: bc:4d:80:9b:15:18:9d:78:db:3e:1d:8c:f4:f9:72:6a:79:5d:a1:64:3c:a5:f1:35:8e:1d:db:0e:dc:0d:7e:b3 +-----BEGIN CERTIFICATE----- +MIICKzCCAbGgAwIBAgIKe3G2gla4EnycqDAKBggqhkjOPQQDAzBaMQswCQYDVQQG +EwJVUzETMBEGA1UECxMKZW1TaWduIFBLSTEUMBIGA1UEChMLZU11ZGhyYSBJbmMx +IDAeBgNVBAMTF2VtU2lnbiBFQ0MgUm9vdCBDQSAtIEMzMB4XDTE4MDIxODE4MzAw +MFoXDTQzMDIxODE4MzAwMFowWjELMAkGA1UEBhMCVVMxEzARBgNVBAsTCmVtU2ln +biBQS0kxFDASBgNVBAoTC2VNdWRocmEgSW5jMSAwHgYDVQQDExdlbVNpZ24gRUND +IFJvb3QgQ0EgLSBDMzB2MBAGByqGSM49AgEGBSuBBAAiA2IABP2lYa57JhAd6bci +MK4G9IGzsUJxlTm801Ljr6/58pc1kjZGDoeVjbk5Wum739D+yAdBPLtVb4Ojavti +sIGJAnB9SMVK4+kiVCJNk7tCDK93nCOmfddhEc5lx/h//vXyqaNCMEAwHQYDVR0O +BBYEFPtaSNCAIEDyqOkAB2kZd6fmw/TPMA4GA1UdDwEB/wQEAwIBBjAPBgNVHRMB +Af8EBTADAQH/MAoGCCqGSM49BAMDA2gAMGUCMQC02C8Cif22TGK6Q04ThHK1rt0c +3ta13FaPWEBaLd4gTCKDypOofu4SQMfWh0/434UCMBwUZOR8loMRnLDRWmFLpg9J +0wD8ofzkpf9/rdcw0Md3f76BB1UwUCAU9Vc4CqgxUQ== +-----END CERTIFICATE----- + +# Issuer: CN=Hongkong Post Root CA 3 O=Hongkong Post +# Subject: CN=Hongkong Post Root CA 3 O=Hongkong Post +# Label: "Hongkong Post Root CA 3" +# Serial: 46170865288971385588281144162979347873371282084 +# MD5 Fingerprint: 11:fc:9f:bd:73:30:02:8a:fd:3f:f3:58:b9:cb:20:f0 +# SHA1 Fingerprint: 58:a2:d0:ec:20:52:81:5b:c1:f3:f8:64:02:24:4e:c2:8e:02:4b:02 +# SHA256 Fingerprint: 5a:2f:c0:3f:0c:83:b0:90:bb:fa:40:60:4b:09:88:44:6c:76:36:18:3d:f9:84:6e:17:10:1a:44:7f:b8:ef:d6 +-----BEGIN CERTIFICATE----- +MIIFzzCCA7egAwIBAgIUCBZfikyl7ADJk0DfxMauI7gcWqQwDQYJKoZIhvcNAQEL +BQAwbzELMAkGA1UEBhMCSEsxEjAQBgNVBAgTCUhvbmcgS29uZzESMBAGA1UEBxMJ +SG9uZyBLb25nMRYwFAYDVQQKEw1Ib25na29uZyBQb3N0MSAwHgYDVQQDExdIb25n +a29uZyBQb3N0IFJvb3QgQ0EgMzAeFw0xNzA2MDMwMjI5NDZaFw00MjA2MDMwMjI5 +NDZaMG8xCzAJBgNVBAYTAkhLMRIwEAYDVQQIEwlIb25nIEtvbmcxEjAQBgNVBAcT +CUhvbmcgS29uZzEWMBQGA1UEChMNSG9uZ2tvbmcgUG9zdDEgMB4GA1UEAxMXSG9u +Z2tvbmcgUG9zdCBSb290IENBIDMwggIiMA0GCSqGSIb3DQEBAQUAA4ICDwAwggIK 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OU=See www.entrust.net/legal-terms/(c) 2015 Entrust, Inc. - for authorized use only +# Subject: CN=Entrust Root Certification Authority - G4 O=Entrust, Inc. OU=See www.entrust.net/legal-terms/(c) 2015 Entrust, Inc. - for authorized use only +# Label: "Entrust Root Certification Authority - G4" +# Serial: 289383649854506086828220374796556676440 +# MD5 Fingerprint: 89:53:f1:83:23:b7:7c:8e:05:f1:8c:71:38:4e:1f:88 +# SHA1 Fingerprint: 14:88:4e:86:26:37:b0:26:af:59:62:5c:40:77:ec:35:29:ba:96:01 +# SHA256 Fingerprint: db:35:17:d1:f6:73:2a:2d:5a:b9:7c:53:3e:c7:07:79:ee:32:70:a6:2f:b4:ac:42:38:37:24:60:e6:f0:1e:88 +-----BEGIN CERTIFICATE----- +MIIGSzCCBDOgAwIBAgIRANm1Q3+vqTkPAAAAAFVlrVgwDQYJKoZIhvcNAQELBQAw +gb4xCzAJBgNVBAYTAlVTMRYwFAYDVQQKEw1FbnRydXN0LCBJbmMuMSgwJgYDVQQL +Ex9TZWUgd3d3LmVudHJ1c3QubmV0L2xlZ2FsLXRlcm1zMTkwNwYDVQQLEzAoYykg +MjAxNSBFbnRydXN0LCBJbmMuIC0gZm9yIGF1dGhvcml6ZWQgdXNlIG9ubHkxMjAw +BgNVBAMTKUVudHJ1c3QgUm9vdCBDZXJ0aWZpY2F0aW9uIEF1dGhvcml0eSAtIEc0 +MB4XDTE1MDUyNzExMTExNloXDTM3MTIyNzExNDExNlowgb4xCzAJBgNVBAYTAlVT +MRYwFAYDVQQKEw1FbnRydXN0LCBJbmMuMSgwJgYDVQQLEx9TZWUgd3d3LmVudHJ1 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Certificate Authority 2017" +# Serial: 136839042543790627607696632466672567020 +# MD5 Fingerprint: dd:a1:03:e6:4a:93:10:d1:bf:f0:19:42:cb:fe:ed:67 +# SHA1 Fingerprint: 99:9a:64:c3:7f:f4:7d:9f:ab:95:f1:47:69:89:14:60:ee:c4:c3:c5 +# SHA256 Fingerprint: 35:8d:f3:9d:76:4a:f9:e1:b7:66:e9:c9:72:df:35:2e:e1:5c:fa:c2:27:af:6a:d1:d7:0e:8e:4a:6e:dc:ba:02 +-----BEGIN CERTIFICATE----- +MIICWTCCAd+gAwIBAgIQZvI9r4fei7FK6gxXMQHC7DAKBggqhkjOPQQDAzBlMQsw +CQYDVQQGEwJVUzEeMBwGA1UEChMVTWljcm9zb2Z0IENvcnBvcmF0aW9uMTYwNAYD +VQQDEy1NaWNyb3NvZnQgRUNDIFJvb3QgQ2VydGlmaWNhdGUgQXV0aG9yaXR5IDIw +MTcwHhcNMTkxMjE4MjMwNjQ1WhcNNDIwNzE4MjMxNjA0WjBlMQswCQYDVQQGEwJV +UzEeMBwGA1UEChMVTWljcm9zb2Z0IENvcnBvcmF0aW9uMTYwNAYDVQQDEy1NaWNy +b3NvZnQgRUNDIFJvb3QgQ2VydGlmaWNhdGUgQXV0aG9yaXR5IDIwMTcwdjAQBgcq +hkjOPQIBBgUrgQQAIgNiAATUvD0CQnVBEyPNgASGAlEvaqiBYgtlzPbKnR5vSmZR +ogPZnZH6thaxjG7efM3beaYvzrvOcS/lpaso7GMEZpn4+vKTEAXhgShC48Zo9OYb +hGBKia/teQ87zvH2RPUBeMCjVDBSMA4GA1UdDwEB/wQEAwIBhjAPBgNVHRMBAf8E 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"Trustwave Global ECC P384 Certification Authority" +# Serial: 2704997926503831671788816187 +# MD5 Fingerprint: ea:cf:60:c4:3b:b9:15:29:40:a1:97:ed:78:27:93:d6 +# SHA1 Fingerprint: e7:f3:a3:c8:cf:6f:c3:04:2e:6d:0e:67:32:c5:9e:68:95:0d:5e:d2 +# SHA256 Fingerprint: 55:90:38:59:c8:c0:c3:eb:b8:75:9e:ce:4e:25:57:22:5f:f5:75:8b:bd:38:eb:d4:82:76:60:1e:1b:d5:80:97 +-----BEGIN CERTIFICATE----- +MIICnTCCAiSgAwIBAgIMCL2Fl2yZJ6SAaEc7MAoGCCqGSM49BAMDMIGRMQswCQYD +VQQGEwJVUzERMA8GA1UECBMISWxsaW5vaXMxEDAOBgNVBAcTB0NoaWNhZ28xITAf +BgNVBAoTGFRydXN0d2F2ZSBIb2xkaW5ncywgSW5jLjE6MDgGA1UEAxMxVHJ1c3R3 +YXZlIEdsb2JhbCBFQ0MgUDM4NCBDZXJ0aWZpY2F0aW9uIEF1dGhvcml0eTAeFw0x +NzA4MjMxOTM2NDNaFw00MjA4MjMxOTM2NDNaMIGRMQswCQYDVQQGEwJVUzERMA8G +A1UECBMISWxsaW5vaXMxEDAOBgNVBAcTB0NoaWNhZ28xITAfBgNVBAoTGFRydXN0 +d2F2ZSBIb2xkaW5ncywgSW5jLjE6MDgGA1UEAxMxVHJ1c3R3YXZlIEdsb2JhbCBF +Q0MgUDM4NCBDZXJ0aWZpY2F0aW9uIEF1dGhvcml0eTB2MBAGByqGSM49AgEGBSuB +BAAiA2IABGvaDXU1CDFHBa5FmVXxERMuSvgQMSOjfoPTfygIOiYaOs+Xgh+AtycJ 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+-----END CERTIFICATE----- + +# Issuer: CN=AC RAIZ FNMT-RCM SERVIDORES SEGUROS O=FNMT-RCM OU=Ceres +# Subject: CN=AC RAIZ FNMT-RCM SERVIDORES SEGUROS O=FNMT-RCM OU=Ceres +# Label: "AC RAIZ FNMT-RCM SERVIDORES SEGUROS" +# Serial: 131542671362353147877283741781055151509 +# MD5 Fingerprint: 19:36:9c:52:03:2f:d2:d1:bb:23:cc:dd:1e:12:55:bb +# SHA1 Fingerprint: 62:ff:d9:9e:c0:65:0d:03:ce:75:93:d2:ed:3f:2d:32:c9:e3:e5:4a +# SHA256 Fingerprint: 55:41:53:b1:3d:2c:f9:dd:b7:53:bf:be:1a:4e:0a:e0:8d:0a:a4:18:70:58:fe:60:a2:b8:62:b2:e4:b8:7b:cb +-----BEGIN CERTIFICATE----- +MIICbjCCAfOgAwIBAgIQYvYybOXE42hcG2LdnC6dlTAKBggqhkjOPQQDAzB4MQsw +CQYDVQQGEwJFUzERMA8GA1UECgwIRk5NVC1SQ00xDjAMBgNVBAsMBUNlcmVzMRgw +FgYDVQRhDA9WQVRFUy1RMjgyNjAwNEoxLDAqBgNVBAMMI0FDIFJBSVogRk5NVC1S +Q00gU0VSVklET1JFUyBTRUdVUk9TMB4XDTE4MTIyMDA5MzczM1oXDTQzMTIyMDA5 +MzczM1oweDELMAkGA1UEBhMCRVMxETAPBgNVBAoMCEZOTVQtUkNNMQ4wDAYDVQQL +DAVDZXJlczEYMBYGA1UEYQwPVkFURVMtUTI4MjYwMDRKMSwwKgYDVQQDDCNBQyBS 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CN=GlobalSign Root E46 O=GlobalSign nv-sa +# Label: "GlobalSign Root E46" +# Serial: 1552617690338932563915843282459653771421763 +# MD5 Fingerprint: b5:b8:66:ed:de:08:83:e3:c9:e2:01:34:06:ac:51:6f +# SHA1 Fingerprint: 39:b4:6c:d5:fe:80:06:eb:e2:2f:4a:bb:08:33:a0:af:db:b9:dd:84 +# SHA256 Fingerprint: cb:b9:c4:4d:84:b8:04:3e:10:50:ea:31:a6:9f:51:49:55:d7:bf:d2:e2:c6:b4:93:01:01:9a:d6:1d:9f:50:58 +-----BEGIN CERTIFICATE----- +MIICCzCCAZGgAwIBAgISEdK7ujNu1LzmJGjFDYQdmOhDMAoGCCqGSM49BAMDMEYx +CzAJBgNVBAYTAkJFMRkwFwYDVQQKExBHbG9iYWxTaWduIG52LXNhMRwwGgYDVQQD +ExNHbG9iYWxTaWduIFJvb3QgRTQ2MB4XDTE5MDMyMDAwMDAwMFoXDTQ2MDMyMDAw +MDAwMFowRjELMAkGA1UEBhMCQkUxGTAXBgNVBAoTEEdsb2JhbFNpZ24gbnYtc2Ex +HDAaBgNVBAMTE0dsb2JhbFNpZ24gUm9vdCBFNDYwdjAQBgcqhkjOPQIBBgUrgQQA +IgNiAAScDrHPt+ieUnd1NPqlRqetMhkytAepJ8qUuwzSChDH2omwlwxwEwkBjtjq +R+q+soArzfwoDdusvKSGN+1wCAB16pMLey5SnCNoIwZD7JIvU4Tb+0cUB+hflGdd +yXqBPCCjQjBAMA4GA1UdDwEB/wQEAwIBhjAPBgNVHRMBAf8EBTADAQH/MB0GA1Ud 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OU=Certum Certification Authority +# Subject: CN=Certum EC-384 CA O=Asseco Data Systems S.A. OU=Certum Certification Authority +# Label: "Certum EC-384 CA" +# Serial: 160250656287871593594747141429395092468 +# MD5 Fingerprint: b6:65:b3:96:60:97:12:a1:ec:4e:e1:3d:a3:c6:c9:f1 +# SHA1 Fingerprint: f3:3e:78:3c:ac:df:f4:a2:cc:ac:67:55:69:56:d7:e5:16:3c:e1:ed +# SHA256 Fingerprint: 6b:32:80:85:62:53:18:aa:50:d1:73:c9:8d:8b:da:09:d5:7e:27:41:3d:11:4c:f7:87:a0:f5:d0:6c:03:0c:f6 +-----BEGIN CERTIFICATE----- +MIICZTCCAeugAwIBAgIQeI8nXIESUiClBNAt3bpz9DAKBggqhkjOPQQDAzB0MQsw +CQYDVQQGEwJQTDEhMB8GA1UEChMYQXNzZWNvIERhdGEgU3lzdGVtcyBTLkEuMScw +JQYDVQQLEx5DZXJ0dW0gQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkxGTAXBgNVBAMT +EENlcnR1bSBFQy0zODQgQ0EwHhcNMTgwMzI2MDcyNDU0WhcNNDMwMzI2MDcyNDU0 +WjB0MQswCQYDVQQGEwJQTDEhMB8GA1UEChMYQXNzZWNvIERhdGEgU3lzdGVtcyBT +LkEuMScwJQYDVQQLEx5DZXJ0dW0gQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkxGTAX +BgNVBAMTEENlcnR1bSBFQy0zODQgQ0EwdjAQBgcqhkjOPQIBBgUrgQQAIgNiAATE +KI6rGFtqvm5kN2PkzeyrOvfMobgOgknXhimfoZTy42B4mIF4Bk3y7JoOV2CDn7Tm +Fy8as10CW4kjPMIRBSqniBMY81CE1700LCeJVf/OTOffph8oxPBUw7l8t1Ot68Kj +QjBAMA8GA1UdEwEB/wQFMAMBAf8wHQYDVR0OBBYEFI0GZnQkdjrzife81r1HfS+8 +EF9LMA4GA1UdDwEB/wQEAwIBBjAKBggqhkjOPQQDAwNoADBlAjADVS2m5hjEfO/J +UG7BJw+ch69u1RsIGL2SKcHvlJF40jocVYli5RsJHrpka/F2tNQCMQC0QoSZ/6vn +nvuRlydd3LBbMHHOXjgaatkl5+r3YZJW+OraNsKHZZYuciUvf9/DE8k= +-----END CERTIFICATE----- + +# Issuer: CN=Certum Trusted Root CA O=Asseco Data Systems S.A. OU=Certum Certification Authority +# Subject: CN=Certum Trusted Root CA O=Asseco Data Systems S.A. OU=Certum Certification Authority +# Label: "Certum Trusted Root CA" +# Serial: 40870380103424195783807378461123655149 +# MD5 Fingerprint: 51:e1:c2:e7:fe:4c:84:af:59:0e:2f:f4:54:6f:ea:29 +# SHA1 Fingerprint: c8:83:44:c0:18:ae:9f:cc:f1:87:b7:8f:22:d1:c5:d7:45:84:ba:e5 +# SHA256 Fingerprint: fe:76:96:57:38:55:77:3e:37:a9:5e:7a:d4:d9:cc:96:c3:01:57:c1:5d:31:76:5b:a9:b1:57:04:e1:ae:78:fd +-----BEGIN CERTIFICATE----- +MIIFwDCCA6igAwIBAgIQHr9ZULjJgDdMBvfrVU+17TANBgkqhkiG9w0BAQ0FADB6 +MQswCQYDVQQGEwJQTDEhMB8GA1UEChMYQXNzZWNvIERhdGEgU3lzdGVtcyBTLkEu +MScwJQYDVQQLEx5DZXJ0dW0gQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkxHzAdBgNV +BAMTFkNlcnR1bSBUcnVzdGVkIFJvb3QgQ0EwHhcNMTgwMzE2MTIxMDEzWhcNNDMw +MzE2MTIxMDEzWjB6MQswCQYDVQQGEwJQTDEhMB8GA1UEChMYQXNzZWNvIERhdGEg +U3lzdGVtcyBTLkEuMScwJQYDVQQLEx5DZXJ0dW0gQ2VydGlmaWNhdGlvbiBBdXRo +b3JpdHkxHzAdBgNVBAMTFkNlcnR1bSBUcnVzdGVkIFJvb3QgQ0EwggIiMA0GCSqG +SIb3DQEBAQUAA4ICDwAwggIKAoICAQDRLY67tzbqbTeRn06TpwXkKQMlzhyC93yZ 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the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/_cython/_cygrpc/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/_cython/_cygrpc/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..951c5d456135af29c03513206bc55d499235f4db Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/_cython/_cygrpc/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..a4e104ad51b5d9c6f6b117de247f39d54db410d9 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/__init__.py @@ -0,0 +1,95 @@ +# Copyright 2019 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""gRPC's Asynchronous Python API. + +gRPC Async API objects may only be used on the thread on which they were +created. AsyncIO doesn't provide thread safety for most of its APIs. +""" + +from typing import Any, Optional, Sequence, Tuple + +import grpc +from grpc._cython.cygrpc import AbortError +from grpc._cython.cygrpc import BaseError +from grpc._cython.cygrpc import EOF +from grpc._cython.cygrpc import InternalError +from grpc._cython.cygrpc import UsageError +from grpc._cython.cygrpc import init_grpc_aio +from grpc._cython.cygrpc import shutdown_grpc_aio + +from ._base_call import Call +from ._base_call import RpcContext +from ._base_call import StreamStreamCall +from ._base_call import StreamUnaryCall +from ._base_call import UnaryStreamCall +from ._base_call import UnaryUnaryCall +from ._base_channel import Channel +from ._base_channel import StreamStreamMultiCallable +from ._base_channel import StreamUnaryMultiCallable +from ._base_channel import UnaryStreamMultiCallable +from ._base_channel import UnaryUnaryMultiCallable +from ._base_server import Server +from ._base_server import ServicerContext +from ._call import AioRpcError +from ._channel import insecure_channel +from ._channel import secure_channel +from ._interceptor import ClientCallDetails +from ._interceptor import ClientInterceptor +from ._interceptor import InterceptedUnaryUnaryCall +from ._interceptor import ServerInterceptor +from ._interceptor import StreamStreamClientInterceptor +from ._interceptor import StreamUnaryClientInterceptor +from ._interceptor import UnaryStreamClientInterceptor +from ._interceptor import UnaryUnaryClientInterceptor +from ._metadata import Metadata +from ._server import server +from ._typing import ChannelArgumentType + +################################### __all__ ################################# + +__all__ = ( + "init_grpc_aio", + "shutdown_grpc_aio", + "AioRpcError", + "RpcContext", + "Call", + "UnaryUnaryCall", + "UnaryStreamCall", + "StreamUnaryCall", + "StreamStreamCall", + "Channel", + "UnaryUnaryMultiCallable", + "UnaryStreamMultiCallable", + "StreamUnaryMultiCallable", + "StreamStreamMultiCallable", + "ClientCallDetails", + "ClientInterceptor", + "UnaryStreamClientInterceptor", + "UnaryUnaryClientInterceptor", + "StreamUnaryClientInterceptor", + "StreamStreamClientInterceptor", + "InterceptedUnaryUnaryCall", + "ServerInterceptor", + "insecure_channel", + "server", + "Server", + "ServicerContext", + "EOF", + "secure_channel", + "AbortError", + "BaseError", + "UsageError", + "InternalError", + "Metadata", +) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..4267df68bdfc4e576b2c5f631d8bc128f3e8296b Binary files /dev/null and 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b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_base_call.py new file mode 100644 index 0000000000000000000000000000000000000000..69b89c0afdbdbd0a627c45e299997191cf7c8a77 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_base_call.py @@ -0,0 +1,257 @@ +# Copyright 2019 The gRPC Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Abstract base classes for client-side Call objects. + +Call objects represents the RPC itself, and offer methods to access / modify +its information. They also offer methods to manipulate the life-cycle of the +RPC, e.g. cancellation. +""" + +from abc import ABCMeta +from abc import abstractmethod +from typing import Any, AsyncIterator, Generator, Generic, Optional, Union + +import grpc + +from ._metadata import Metadata +from ._typing import DoneCallbackType +from ._typing import EOFType +from ._typing import RequestType +from ._typing import ResponseType + +__all__ = "RpcContext", "Call", "UnaryUnaryCall", "UnaryStreamCall" + + +class RpcContext(metaclass=ABCMeta): + """Provides RPC-related information and action.""" + + @abstractmethod + def cancelled(self) -> bool: + """Return True if the RPC is cancelled. + + The RPC is cancelled when the cancellation was requested with cancel(). + + Returns: + A bool indicates whether the RPC is cancelled or not. + """ + + @abstractmethod + def done(self) -> bool: + """Return True if the RPC is done. + + An RPC is done if the RPC is completed, cancelled or aborted. + + Returns: + A bool indicates if the RPC is done. + """ + + @abstractmethod + def time_remaining(self) -> Optional[float]: + """Describes the length of allowed time remaining for the RPC. + + Returns: + A nonnegative float indicating the length of allowed time in seconds + remaining for the RPC to complete before it is considered to have + timed out, or None if no deadline was specified for the RPC. + """ + + @abstractmethod + def cancel(self) -> bool: + """Cancels the RPC. + + Idempotent and has no effect if the RPC has already terminated. + + Returns: + A bool indicates if the cancellation is performed or not. + """ + + @abstractmethod + def add_done_callback(self, callback: DoneCallbackType) -> None: + """Registers a callback to be called on RPC termination. + + Args: + callback: A callable object will be called with the call object as + its only argument. + """ + + +class Call(RpcContext, metaclass=ABCMeta): + """The abstract base class of an RPC on the client-side.""" + + @abstractmethod + async def initial_metadata(self) -> Metadata: + """Accesses the initial metadata sent by the server. + + Returns: + The initial :term:`metadata`. + """ + + @abstractmethod + async def trailing_metadata(self) -> Metadata: + """Accesses the trailing metadata sent by the server. + + Returns: + The trailing :term:`metadata`. + """ + + @abstractmethod + async def code(self) -> grpc.StatusCode: + """Accesses the status code sent by the server. + + Returns: + The StatusCode value for the RPC. + """ + + @abstractmethod + async def details(self) -> str: + """Accesses the details sent by the server. + + Returns: + The details string of the RPC. + """ + + @abstractmethod + async def wait_for_connection(self) -> None: + """Waits until connected to peer and raises aio.AioRpcError if failed. + + This is an EXPERIMENTAL method. + + This method ensures the RPC has been successfully connected. Otherwise, + an AioRpcError will be raised to explain the reason of the connection + failure. + + This method is recommended for building retry mechanisms. + """ + + +class UnaryUnaryCall( + Generic[RequestType, ResponseType], Call, metaclass=ABCMeta +): + """The abstract base class of a unary-unary RPC on the client-side.""" + + @abstractmethod + def __await__(self) -> Generator[Any, None, ResponseType]: + """Await the response message to be ready. + + Returns: + The response message of the RPC. + """ + + +class UnaryStreamCall( + Generic[RequestType, ResponseType], Call, metaclass=ABCMeta +): + @abstractmethod + def __aiter__(self) -> AsyncIterator[ResponseType]: + """Returns the async iterator representation that yields messages. + + Under the hood, it is calling the "read" method. + + Returns: + An async iterator object that yields messages. + """ + + @abstractmethod + async def read(self) -> Union[EOFType, ResponseType]: + """Reads one message from the stream. + + Read operations must be serialized when called from multiple + coroutines. + + Note that the iterator and read/write APIs may not be mixed on + a single RPC. + + Returns: + A response message, or an `grpc.aio.EOF` to indicate the end of the + stream. + """ + + +class StreamUnaryCall( + Generic[RequestType, ResponseType], Call, metaclass=ABCMeta +): + @abstractmethod + async def write(self, request: RequestType) -> None: + """Writes one message to the stream. + + Note that the iterator and read/write APIs may not be mixed on + a single RPC. + + Raises: + An RpcError exception if the write failed. + """ + + @abstractmethod + async def done_writing(self) -> None: + """Notifies server that the client is done sending messages. + + After done_writing is called, any additional invocation to the write + function will fail. This function is idempotent. + """ + + @abstractmethod + def __await__(self) -> Generator[Any, None, ResponseType]: + """Await the response message to be ready. + + Returns: + The response message of the stream. + """ + + +class StreamStreamCall( + Generic[RequestType, ResponseType], Call, metaclass=ABCMeta +): + @abstractmethod + def __aiter__(self) -> AsyncIterator[ResponseType]: + """Returns the async iterator representation that yields messages. + + Under the hood, it is calling the "read" method. + + Returns: + An async iterator object that yields messages. + """ + + @abstractmethod + async def read(self) -> Union[EOFType, ResponseType]: + """Reads one message from the stream. + + Read operations must be serialized when called from multiple + coroutines. + + Note that the iterator and read/write APIs may not be mixed on + a single RPC. + + Returns: + A response message, or an `grpc.aio.EOF` to indicate the end of the + stream. + """ + + @abstractmethod + async def write(self, request: RequestType) -> None: + """Writes one message to the stream. + + Note that the iterator and read/write APIs may not be mixed on + a single RPC. + + Raises: + An RpcError exception if the write failed. + """ + + @abstractmethod + async def done_writing(self) -> None: + """Notifies server that the client is done sending messages. + + After done_writing is called, any additional invocation to the write + function will fail. This function is idempotent. + """ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_base_channel.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_base_channel.py new file mode 100644 index 0000000000000000000000000000000000000000..0616f243494c34b72a74c12bce9c18ac704c4cd2 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_base_channel.py @@ -0,0 +1,364 @@ +# Copyright 2020 The gRPC Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Abstract base classes for Channel objects and Multicallable objects.""" + +import abc +from typing import Generic, Optional + +import grpc + +from . import _base_call +from ._typing import DeserializingFunction +from ._typing import MetadataType +from ._typing import RequestIterableType +from ._typing import RequestType +from ._typing import ResponseType +from ._typing import SerializingFunction + + +class UnaryUnaryMultiCallable(Generic[RequestType, ResponseType], abc.ABC): + """Enables asynchronous invocation of a unary-call RPC.""" + + @abc.abstractmethod + def __call__( + self, + request: RequestType, + *, + timeout: Optional[float] = None, + metadata: Optional[MetadataType] = None, + credentials: Optional[grpc.CallCredentials] = None, + wait_for_ready: Optional[bool] = None, + compression: Optional[grpc.Compression] = None, + ) -> _base_call.UnaryUnaryCall[RequestType, ResponseType]: + """Asynchronously invokes the underlying RPC. + + Args: + request: The request value for the RPC. + timeout: An optional duration of time in seconds to allow + for the RPC. + metadata: Optional :term:`metadata` to be transmitted to the + service-side of the RPC. + credentials: An optional CallCredentials for the RPC. Only valid for + secure Channel. + wait_for_ready: An optional flag to enable :term:`wait_for_ready` mechanism. + compression: An element of grpc.compression, e.g. + grpc.compression.Gzip. + + Returns: + A UnaryUnaryCall object. + + Raises: + RpcError: Indicates that the RPC terminated with non-OK status. The + raised RpcError will also be a Call for the RPC affording the RPC's + metadata, status code, and details. + """ + + +class UnaryStreamMultiCallable(Generic[RequestType, ResponseType], abc.ABC): + """Enables asynchronous invocation of a server-streaming RPC.""" + + @abc.abstractmethod + def __call__( + self, + request: RequestType, + *, + timeout: Optional[float] = None, + metadata: Optional[MetadataType] = None, + credentials: Optional[grpc.CallCredentials] = None, + wait_for_ready: Optional[bool] = None, + compression: Optional[grpc.Compression] = None, + ) -> _base_call.UnaryStreamCall[RequestType, ResponseType]: + """Asynchronously invokes the underlying RPC. + + Args: + request: The request value for the RPC. + timeout: An optional duration of time in seconds to allow + for the RPC. + metadata: Optional :term:`metadata` to be transmitted to the + service-side of the RPC. + credentials: An optional CallCredentials for the RPC. Only valid for + secure Channel. + wait_for_ready: An optional flag to enable :term:`wait_for_ready` mechanism. + compression: An element of grpc.compression, e.g. + grpc.compression.Gzip. + + Returns: + A UnaryStreamCall object. + + Raises: + RpcError: Indicates that the RPC terminated with non-OK status. The + raised RpcError will also be a Call for the RPC affording the RPC's + metadata, status code, and details. + """ + + +class StreamUnaryMultiCallable(abc.ABC): + """Enables asynchronous invocation of a client-streaming RPC.""" + + @abc.abstractmethod + def __call__( + self, + request_iterator: Optional[RequestIterableType] = None, + timeout: Optional[float] = None, + metadata: Optional[MetadataType] = None, + credentials: Optional[grpc.CallCredentials] = None, + wait_for_ready: Optional[bool] = None, + compression: Optional[grpc.Compression] = None, + ) -> _base_call.StreamUnaryCall: + """Asynchronously invokes the underlying RPC. + + Args: + request_iterator: An optional async iterable or iterable of request + messages for the RPC. + timeout: An optional duration of time in seconds to allow + for the RPC. + metadata: Optional :term:`metadata` to be transmitted to the + service-side of the RPC. + credentials: An optional CallCredentials for the RPC. Only valid for + secure Channel. + wait_for_ready: An optional flag to enable :term:`wait_for_ready` mechanism. + compression: An element of grpc.compression, e.g. + grpc.compression.Gzip. + + Returns: + A StreamUnaryCall object. + + Raises: + RpcError: Indicates that the RPC terminated with non-OK status. The + raised RpcError will also be a Call for the RPC affording the RPC's + metadata, status code, and details. + """ + + +class StreamStreamMultiCallable(abc.ABC): + """Enables asynchronous invocation of a bidirectional-streaming RPC.""" + + @abc.abstractmethod + def __call__( + self, + request_iterator: Optional[RequestIterableType] = None, + timeout: Optional[float] = None, + metadata: Optional[MetadataType] = None, + credentials: Optional[grpc.CallCredentials] = None, + wait_for_ready: Optional[bool] = None, + compression: Optional[grpc.Compression] = None, + ) -> _base_call.StreamStreamCall: + """Asynchronously invokes the underlying RPC. + + Args: + request_iterator: An optional async iterable or iterable of request + messages for the RPC. + timeout: An optional duration of time in seconds to allow + for the RPC. + metadata: Optional :term:`metadata` to be transmitted to the + service-side of the RPC. + credentials: An optional CallCredentials for the RPC. Only valid for + secure Channel. + wait_for_ready: An optional flag to enable :term:`wait_for_ready` mechanism. + compression: An element of grpc.compression, e.g. + grpc.compression.Gzip. + + Returns: + A StreamStreamCall object. + + Raises: + RpcError: Indicates that the RPC terminated with non-OK status. The + raised RpcError will also be a Call for the RPC affording the RPC's + metadata, status code, and details. + """ + + +class Channel(abc.ABC): + """Enables asynchronous RPC invocation as a client. + + Channel objects implement the Asynchronous Context Manager (aka. async + with) type, although they are not supported to be entered and exited + multiple times. + """ + + @abc.abstractmethod + async def __aenter__(self): + """Starts an asynchronous context manager. + + Returns: + Channel the channel that was instantiated. + """ + + @abc.abstractmethod + async def __aexit__(self, exc_type, exc_val, exc_tb): + """Finishes the asynchronous context manager by closing the channel. + + Still active RPCs will be cancelled. + """ + + @abc.abstractmethod + async def close(self, grace: Optional[float] = None): + """Closes this Channel and releases all resources held by it. + + This method immediately stops the channel from executing new RPCs in + all cases. + + If a grace period is specified, this method waits until all active + RPCs are finished or until the grace period is reached. RPCs that haven't + been terminated within the grace period are aborted. + If a grace period is not specified (by passing None for grace), + all existing RPCs are cancelled immediately. + + This method is idempotent. + """ + + @abc.abstractmethod + def get_state( + self, try_to_connect: bool = False + ) -> grpc.ChannelConnectivity: + """Checks the connectivity state of a channel. + + This is an EXPERIMENTAL API. + + If the channel reaches a stable connectivity state, it is guaranteed + that the return value of this function will eventually converge to that + state. + + Args: + try_to_connect: a bool indicate whether the Channel should try to + connect to peer or not. + + Returns: A ChannelConnectivity object. + """ + + @abc.abstractmethod + async def wait_for_state_change( + self, + last_observed_state: grpc.ChannelConnectivity, + ) -> None: + """Waits for a change in connectivity state. + + This is an EXPERIMENTAL API. + + The function blocks until there is a change in the channel connectivity + state from the "last_observed_state". If the state is already + different, this function will return immediately. + + There is an inherent race between the invocation of + "Channel.wait_for_state_change" and "Channel.get_state". The state can + change arbitrary many times during the race, so there is no way to + observe every state transition. + + If there is a need to put a timeout for this function, please refer to + "asyncio.wait_for". + + Args: + last_observed_state: A grpc.ChannelConnectivity object representing + the last known state. + """ + + @abc.abstractmethod + async def channel_ready(self) -> None: + """Creates a coroutine that blocks until the Channel is READY.""" + + @abc.abstractmethod + def unary_unary( + self, + method: str, + request_serializer: Optional[SerializingFunction] = None, + response_deserializer: Optional[DeserializingFunction] = None, + _registered_method: Optional[bool] = False, + ) -> UnaryUnaryMultiCallable: + """Creates a UnaryUnaryMultiCallable for a unary-unary method. + + Args: + method: The name of the RPC method. + request_serializer: Optional :term:`serializer` for serializing the request + message. Request goes unserialized in case None is passed. + response_deserializer: Optional :term:`deserializer` for deserializing the + response message. Response goes undeserialized in case None + is passed. + _registered_method: Implementation Private. Optional: A bool representing + whether the method is registered. + + Returns: + A UnaryUnaryMultiCallable value for the named unary-unary method. + """ + + @abc.abstractmethod + def unary_stream( + self, + method: str, + request_serializer: Optional[SerializingFunction] = None, + response_deserializer: Optional[DeserializingFunction] = None, + _registered_method: Optional[bool] = False, + ) -> UnaryStreamMultiCallable: + """Creates a UnaryStreamMultiCallable for a unary-stream method. + + Args: + method: The name of the RPC method. + request_serializer: Optional :term:`serializer` for serializing the request + message. Request goes unserialized in case None is passed. + response_deserializer: Optional :term:`deserializer` for deserializing the + response message. Response goes undeserialized in case None + is passed. + _registered_method: Implementation Private. Optional: A bool representing + whether the method is registered. + + Returns: + A UnaryStreamMultiCallable value for the named unary-stream method. + """ + + @abc.abstractmethod + def stream_unary( + self, + method: str, + request_serializer: Optional[SerializingFunction] = None, + response_deserializer: Optional[DeserializingFunction] = None, + _registered_method: Optional[bool] = False, + ) -> StreamUnaryMultiCallable: + """Creates a StreamUnaryMultiCallable for a stream-unary method. + + Args: + method: The name of the RPC method. + request_serializer: Optional :term:`serializer` for serializing the request + message. Request goes unserialized in case None is passed. + response_deserializer: Optional :term:`deserializer` for deserializing the + response message. Response goes undeserialized in case None + is passed. + _registered_method: Implementation Private. Optional: A bool representing + whether the method is registered. + + Returns: + A StreamUnaryMultiCallable value for the named stream-unary method. + """ + + @abc.abstractmethod + def stream_stream( + self, + method: str, + request_serializer: Optional[SerializingFunction] = None, + response_deserializer: Optional[DeserializingFunction] = None, + _registered_method: Optional[bool] = False, + ) -> StreamStreamMultiCallable: + """Creates a StreamStreamMultiCallable for a stream-stream method. + + Args: + method: The name of the RPC method. + request_serializer: Optional :term:`serializer` for serializing the request + message. Request goes unserialized in case None is passed. + response_deserializer: Optional :term:`deserializer` for deserializing the + response message. Response goes undeserialized in case None + is passed. + _registered_method: Implementation Private. Optional: A bool representing + whether the method is registered. + + Returns: + A StreamStreamMultiCallable value for the named stream-stream method. + """ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_base_server.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_base_server.py new file mode 100644 index 0000000000000000000000000000000000000000..526e21aeb5e38ba32c1036b6afb2db1e9c873122 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_base_server.py @@ -0,0 +1,385 @@ +# Copyright 2020 The gRPC Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Abstract base classes for server-side classes.""" + +import abc +from typing import Generic, Iterable, Mapping, NoReturn, Optional, Sequence + +import grpc + +from ._metadata import Metadata # pylint: disable=unused-import +from ._typing import DoneCallbackType +from ._typing import MetadataType +from ._typing import RequestType +from ._typing import ResponseType + + +class Server(abc.ABC): + """Serves RPCs.""" + + @abc.abstractmethod + def add_generic_rpc_handlers( + self, generic_rpc_handlers: Sequence[grpc.GenericRpcHandler] + ) -> None: + """Registers GenericRpcHandlers with this Server. + + This method is only safe to call before the server is started. + + Args: + generic_rpc_handlers: A sequence of GenericRpcHandlers that will be + used to service RPCs. + """ + + @abc.abstractmethod + def add_insecure_port(self, address: str) -> int: + """Opens an insecure port for accepting RPCs. + + A port is a communication endpoint that used by networking protocols, + like TCP and UDP. To date, we only support TCP. + + This method may only be called before starting the server. + + Args: + address: The address for which to open a port. If the port is 0, + or not specified in the address, then the gRPC runtime will choose a port. + + Returns: + An integer port on which the server will accept RPC requests. + """ + + @abc.abstractmethod + def add_secure_port( + self, address: str, server_credentials: grpc.ServerCredentials + ) -> int: + """Opens a secure port for accepting RPCs. + + A port is a communication endpoint that used by networking protocols, + like TCP and UDP. To date, we only support TCP. + + This method may only be called before starting the server. + + Args: + address: The address for which to open a port. + if the port is 0, or not specified in the address, then the gRPC + runtime will choose a port. + server_credentials: A ServerCredentials object. + + Returns: + An integer port on which the server will accept RPC requests. + """ + + @abc.abstractmethod + async def start(self) -> None: + """Starts this Server. + + This method may only be called once. (i.e. it is not idempotent). + """ + + @abc.abstractmethod + async def stop(self, grace: Optional[float]) -> None: + """Stops this Server. + + This method immediately stops the server from servicing new RPCs in + all cases. + + If a grace period is specified, this method waits until all active + RPCs are finished or until the grace period is reached. RPCs that haven't + been terminated within the grace period are aborted. + If a grace period is not specified (by passing None for grace), all + existing RPCs are aborted immediately and this method blocks until + the last RPC handler terminates. + + This method is idempotent and may be called at any time. Passing a + smaller grace value in a subsequent call will have the effect of + stopping the Server sooner (passing None will have the effect of + stopping the server immediately). Passing a larger grace value in a + subsequent call will not have the effect of stopping the server later + (i.e. the most restrictive grace value is used). + + Args: + grace: A duration of time in seconds or None. + """ + + @abc.abstractmethod + async def wait_for_termination( + self, timeout: Optional[float] = None + ) -> bool: + """Continues current coroutine once the server stops. + + This is an EXPERIMENTAL API. + + The wait will not consume computational resources during blocking, and + it will block until one of the two following conditions are met: + + 1) The server is stopped or terminated; + 2) A timeout occurs if timeout is not `None`. + + The timeout argument works in the same way as `threading.Event.wait()`. + https://docs.python.org/3/library/threading.html#threading.Event.wait + + Args: + timeout: A floating point number specifying a timeout for the + operation in seconds. + + Returns: + A bool indicates if the operation times out. + """ + + def add_registered_method_handlers(self, service_name, method_handlers): + """Registers GenericRpcHandlers with this Server. + + This method is only safe to call before the server is started. + + Args: + service_name: The service name. + method_handlers: A dictionary that maps method names to corresponding + RpcMethodHandler. + """ + + +# pylint: disable=too-many-public-methods +class ServicerContext(Generic[RequestType, ResponseType], abc.ABC): + """A context object passed to method implementations.""" + + @abc.abstractmethod + async def read(self) -> RequestType: + """Reads one message from the RPC. + + Only one read operation is allowed simultaneously. + + Returns: + A response message of the RPC. + + Raises: + An RpcError exception if the read failed. + """ + + @abc.abstractmethod + async def write(self, message: ResponseType) -> None: + """Writes one message to the RPC. + + Only one write operation is allowed simultaneously. + + Raises: + An RpcError exception if the write failed. + """ + + @abc.abstractmethod + async def send_initial_metadata( + self, initial_metadata: MetadataType + ) -> None: + """Sends the initial metadata value to the client. + + This method need not be called by implementations if they have no + metadata to add to what the gRPC runtime will transmit. + + Args: + initial_metadata: The initial :term:`metadata`. + """ + + @abc.abstractmethod + async def abort( + self, + code: grpc.StatusCode, + details: str = "", + trailing_metadata: MetadataType = tuple(), + ) -> NoReturn: + """Raises an exception to terminate the RPC with a non-OK status. + + The code and details passed as arguments will supersede any existing + ones. + + Args: + code: A StatusCode object to be sent to the client. + It must not be StatusCode.OK. + details: A UTF-8-encodable string to be sent to the client upon + termination of the RPC. + trailing_metadata: A sequence of tuple represents the trailing + :term:`metadata`. + + Raises: + Exception: An exception is always raised to signal the abortion the + RPC to the gRPC runtime. + """ + + @abc.abstractmethod + def set_trailing_metadata(self, trailing_metadata: MetadataType) -> None: + """Sends the trailing metadata for the RPC. + + This method need not be called by implementations if they have no + metadata to add to what the gRPC runtime will transmit. + + Args: + trailing_metadata: The trailing :term:`metadata`. + """ + + @abc.abstractmethod + def invocation_metadata(self) -> Optional[MetadataType]: + """Accesses the metadata sent by the client. + + Returns: + The invocation :term:`metadata`. + """ + + @abc.abstractmethod + def set_code(self, code: grpc.StatusCode) -> None: + """Sets the value to be used as status code upon RPC completion. + + This method need not be called by method implementations if they wish + the gRPC runtime to determine the status code of the RPC. + + Args: + code: A StatusCode object to be sent to the client. + """ + + @abc.abstractmethod + def set_details(self, details: str) -> None: + """Sets the value to be used the as detail string upon RPC completion. + + This method need not be called by method implementations if they have + no details to transmit. + + Args: + details: A UTF-8-encodable string to be sent to the client upon + termination of the RPC. + """ + + @abc.abstractmethod + def set_compression(self, compression: grpc.Compression) -> None: + """Set the compression algorithm to be used for the entire call. + + Args: + compression: An element of grpc.compression, e.g. + grpc.compression.Gzip. + """ + + @abc.abstractmethod + def disable_next_message_compression(self) -> None: + """Disables compression for the next response message. + + This method will override any compression configuration set during + server creation or set on the call. + """ + + @abc.abstractmethod + def peer(self) -> str: + """Identifies the peer that invoked the RPC being serviced. + + Returns: + A string identifying the peer that invoked the RPC being serviced. + The string format is determined by gRPC runtime. + """ + + @abc.abstractmethod + def peer_identities(self) -> Optional[Iterable[bytes]]: + """Gets one or more peer identity(s). + + Equivalent to + servicer_context.auth_context().get(servicer_context.peer_identity_key()) + + Returns: + An iterable of the identities, or None if the call is not + authenticated. Each identity is returned as a raw bytes type. + """ + + @abc.abstractmethod + def peer_identity_key(self) -> Optional[str]: + """The auth property used to identify the peer. + + For example, "x509_common_name" or "x509_subject_alternative_name" are + used to identify an SSL peer. + + Returns: + The auth property (string) that indicates the + peer identity, or None if the call is not authenticated. + """ + + @abc.abstractmethod + def auth_context(self) -> Mapping[str, Iterable[bytes]]: + """Gets the auth context for the call. + + Returns: + A map of strings to an iterable of bytes for each auth property. + """ + + def time_remaining(self) -> float: + """Describes the length of allowed time remaining for the RPC. + + Returns: + A nonnegative float indicating the length of allowed time in seconds + remaining for the RPC to complete before it is considered to have + timed out, or None if no deadline was specified for the RPC. + """ + + def trailing_metadata(self): + """Access value to be used as trailing metadata upon RPC completion. + + This is an EXPERIMENTAL API. + + Returns: + The trailing :term:`metadata` for the RPC. + """ + raise NotImplementedError() + + def code(self): + """Accesses the value to be used as status code upon RPC completion. + + This is an EXPERIMENTAL API. + + Returns: + The StatusCode value for the RPC. + """ + raise NotImplementedError() + + def details(self): + """Accesses the value to be used as detail string upon RPC completion. + + This is an EXPERIMENTAL API. + + Returns: + The details string of the RPC. + """ + raise NotImplementedError() + + def add_done_callback(self, callback: DoneCallbackType) -> None: + """Registers a callback to be called on RPC termination. + + This is an EXPERIMENTAL API. + + Args: + callback: A callable object will be called with the servicer context + object as its only argument. + """ + + def cancelled(self) -> bool: + """Return True if the RPC is cancelled. + + The RPC is cancelled when the cancellation was requested with cancel(). + + This is an EXPERIMENTAL API. + + Returns: + A bool indicates whether the RPC is cancelled or not. + """ + + def done(self) -> bool: + """Return True if the RPC is done. + + An RPC is done if the RPC is completed, cancelled or aborted. + + This is an EXPERIMENTAL API. + + Returns: + A bool indicates if the RPC is done. + """ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_call.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_call.py new file mode 100644 index 0000000000000000000000000000000000000000..24f2090651a8afb5564d8dc01995ec93470f953a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_call.py @@ -0,0 +1,764 @@ +# Copyright 2019 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Invocation-side implementation of gRPC Asyncio Python.""" + +import asyncio +import enum +from functools import partial +import inspect +import logging +import traceback +from typing import ( + Any, + AsyncIterator, + Generator, + Generic, + Optional, + Tuple, + Union, +) + +import grpc +from grpc import _common +from grpc._cython import cygrpc + +from . import _base_call +from ._metadata import Metadata +from ._typing import DeserializingFunction +from ._typing import DoneCallbackType +from ._typing import EOFType +from ._typing import MetadatumType +from ._typing import RequestIterableType +from ._typing import RequestType +from ._typing import ResponseType +from ._typing import SerializingFunction + +__all__ = "AioRpcError", "Call", "UnaryUnaryCall", "UnaryStreamCall" + +_LOCAL_CANCELLATION_DETAILS = "Locally cancelled by application!" +_GC_CANCELLATION_DETAILS = "Cancelled upon garbage collection!" +_RPC_ALREADY_FINISHED_DETAILS = "RPC already finished." +_RPC_HALF_CLOSED_DETAILS = 'RPC is half closed after calling "done_writing".' +_API_STYLE_ERROR = ( + "The iterator and read/write APIs may not be mixed on a single RPC." +) + +_OK_CALL_REPRESENTATION = ( + '<{} of RPC that terminated with:\n\tstatus = {}\n\tdetails = "{}"\n>' +) + +_NON_OK_CALL_REPRESENTATION = ( + "<{} of RPC that terminated with:\n" + "\tstatus = {}\n" + '\tdetails = "{}"\n' + '\tdebug_error_string = "{}"\n' + ">" +) + +_LOGGER = logging.getLogger(__name__) + + +class AioRpcError(grpc.RpcError): + """An implementation of RpcError to be used by the asynchronous API. + + Raised RpcError is a snapshot of the final status of the RPC, values are + determined. Hence, its methods no longer needs to be coroutines. + """ + + _code: grpc.StatusCode + _details: Optional[str] + _initial_metadata: Optional[Metadata] + _trailing_metadata: Optional[Metadata] + _debug_error_string: Optional[str] + + def __init__( + self, + code: grpc.StatusCode, + initial_metadata: Metadata, + trailing_metadata: Metadata, + details: Optional[str] = None, + debug_error_string: Optional[str] = None, + ) -> None: + """Constructor. + + Args: + code: The status code with which the RPC has been finalized. + details: Optional details explaining the reason of the error. + initial_metadata: Optional initial metadata that could be sent by the + Server. + trailing_metadata: Optional metadata that could be sent by the Server. + """ + + super().__init__() + self._code = code + self._details = details + self._initial_metadata = initial_metadata + self._trailing_metadata = trailing_metadata + self._debug_error_string = debug_error_string + + def code(self) -> grpc.StatusCode: + """Accesses the status code sent by the server. + + Returns: + The `grpc.StatusCode` status code. + """ + return self._code + + def details(self) -> Optional[str]: + """Accesses the details sent by the server. + + Returns: + The description of the error. + """ + return self._details + + def initial_metadata(self) -> Metadata: + """Accesses the initial metadata sent by the server. + + Returns: + The initial metadata received. + """ + return self._initial_metadata + + def trailing_metadata(self) -> Metadata: + """Accesses the trailing metadata sent by the server. + + Returns: + The trailing metadata received. + """ + return self._trailing_metadata + + def debug_error_string(self) -> str: + """Accesses the debug error string sent by the server. + + Returns: + The debug error string received. + """ + return self._debug_error_string + + def _repr(self) -> str: + """Assembles the error string for the RPC error.""" + return _NON_OK_CALL_REPRESENTATION.format( + self.__class__.__name__, + self._code, + self._details, + self._debug_error_string, + ) + + def __repr__(self) -> str: + return self._repr() + + def __str__(self) -> str: + return self._repr() + + def __reduce__(self): + return ( + type(self), + ( + self._code, + self._initial_metadata, + self._trailing_metadata, + self._details, + self._debug_error_string, + ), + ) + + +def _create_rpc_error( + initial_metadata: Metadata, status: cygrpc.AioRpcStatus +) -> AioRpcError: + return AioRpcError( + _common.CYGRPC_STATUS_CODE_TO_STATUS_CODE[status.code()], + Metadata.from_tuple(initial_metadata), + Metadata.from_tuple(status.trailing_metadata()), + details=status.details(), + debug_error_string=status.debug_error_string(), + ) + + +class Call: + """Base implementation of client RPC Call object. + + Implements logic around final status, metadata and cancellation. + """ + + _loop: asyncio.AbstractEventLoop + _code: grpc.StatusCode + _cython_call: cygrpc._AioCall + _metadata: Tuple[MetadatumType, ...] + _request_serializer: SerializingFunction + _response_deserializer: DeserializingFunction + + def __init__( + self, + cython_call: cygrpc._AioCall, + metadata: Metadata, + request_serializer: SerializingFunction, + response_deserializer: DeserializingFunction, + loop: asyncio.AbstractEventLoop, + ) -> None: + self._loop = loop + self._cython_call = cython_call + self._metadata = tuple(metadata) + self._request_serializer = request_serializer + self._response_deserializer = response_deserializer + + def __del__(self) -> None: + # The '_cython_call' object might be destructed before Call object + if hasattr(self, "_cython_call"): + if not self._cython_call.done(): + self._cancel(_GC_CANCELLATION_DETAILS) + + def cancelled(self) -> bool: + return self._cython_call.cancelled() + + def _cancel(self, details: str) -> bool: + """Forwards the application cancellation reasoning.""" + if not self._cython_call.done(): + self._cython_call.cancel(details) + return True + else: + return False + + def cancel(self) -> bool: + return self._cancel(_LOCAL_CANCELLATION_DETAILS) + + def done(self) -> bool: + return self._cython_call.done() + + def add_done_callback(self, callback: DoneCallbackType) -> None: + cb = partial(callback, self) + self._cython_call.add_done_callback(cb) + + def time_remaining(self) -> Optional[float]: + return self._cython_call.time_remaining() + + async def initial_metadata(self) -> Metadata: + raw_metadata_tuple = await self._cython_call.initial_metadata() + return Metadata.from_tuple(raw_metadata_tuple) + + async def trailing_metadata(self) -> Metadata: + raw_metadata_tuple = ( + await self._cython_call.status() + ).trailing_metadata() + return Metadata.from_tuple(raw_metadata_tuple) + + async def code(self) -> grpc.StatusCode: + cygrpc_code = (await self._cython_call.status()).code() + return _common.CYGRPC_STATUS_CODE_TO_STATUS_CODE[cygrpc_code] + + async def details(self) -> str: + return (await self._cython_call.status()).details() + + async def debug_error_string(self) -> str: + return (await self._cython_call.status()).debug_error_string() + + async def _raise_for_status(self) -> None: + if self._cython_call.is_locally_cancelled(): + raise asyncio.CancelledError() + code = await self.code() + if code != grpc.StatusCode.OK: + raise _create_rpc_error( + await self.initial_metadata(), await self._cython_call.status() + ) + + def _repr(self) -> str: + return repr(self._cython_call) + + def __repr__(self) -> str: + return self._repr() + + def __str__(self) -> str: + return self._repr() + + +class _APIStyle(enum.IntEnum): + UNKNOWN = 0 + ASYNC_GENERATOR = 1 + READER_WRITER = 2 + + +class _UnaryResponseMixin(Call, Generic[ResponseType]): + _call_response: asyncio.Task + + def _init_unary_response_mixin(self, response_task: asyncio.Task): + self._call_response = response_task + + def cancel(self) -> bool: + if super().cancel(): + self._call_response.cancel() + return True + else: + return False + + def __await__(self) -> Generator[Any, None, ResponseType]: + """Wait till the ongoing RPC request finishes.""" + try: + response = yield from self._call_response + except asyncio.CancelledError: + # Even if we caught all other CancelledError, there is still + # this corner case. If the application cancels immediately after + # the Call object is created, we will observe this + # `CancelledError`. + if not self.cancelled(): + self.cancel() + raise + + # NOTE(lidiz) If we raise RpcError in the task, and users doesn't + # 'await' on it. AsyncIO will log 'Task exception was never retrieved'. + # Instead, if we move the exception raising here, the spam stops. + # Unfortunately, there can only be one 'yield from' in '__await__'. So, + # we need to access the private instance variable. + if response is cygrpc.EOF: + if self._cython_call.is_locally_cancelled(): + raise asyncio.CancelledError() + else: + raise _create_rpc_error( + self._cython_call._initial_metadata, + self._cython_call._status, + ) + else: + return response + + +class _StreamResponseMixin(Call): + _message_aiter: AsyncIterator[ResponseType] + _preparation: asyncio.Task + _response_style: _APIStyle + + def _init_stream_response_mixin(self, preparation: asyncio.Task): + self._message_aiter = None + self._preparation = preparation + self._response_style = _APIStyle.UNKNOWN + + def _update_response_style(self, style: _APIStyle): + if self._response_style is _APIStyle.UNKNOWN: + self._response_style = style + elif self._response_style is not style: + raise cygrpc.UsageError(_API_STYLE_ERROR) + + def cancel(self) -> bool: + if super().cancel(): + self._preparation.cancel() + return True + else: + return False + + async def _fetch_stream_responses(self) -> ResponseType: + message = await self._read() + while message is not cygrpc.EOF: + yield message + message = await self._read() + + # If the read operation failed, Core should explain why. + await self._raise_for_status() + + def __aiter__(self) -> AsyncIterator[ResponseType]: + self._update_response_style(_APIStyle.ASYNC_GENERATOR) + if self._message_aiter is None: + self._message_aiter = self._fetch_stream_responses() + return self._message_aiter + + async def _read(self) -> ResponseType: + # Wait for the request being sent + await self._preparation + + # Reads response message from Core + try: + raw_response = await self._cython_call.receive_serialized_message() + except asyncio.CancelledError: + if not self.cancelled(): + self.cancel() + raise + + if raw_response is cygrpc.EOF: + return cygrpc.EOF + else: + return _common.deserialize( + raw_response, self._response_deserializer + ) + + async def read(self) -> Union[EOFType, ResponseType]: + if self.done(): + await self._raise_for_status() + return cygrpc.EOF + self._update_response_style(_APIStyle.READER_WRITER) + + response_message = await self._read() + + if response_message is cygrpc.EOF: + # If the read operation failed, Core should explain why. + await self._raise_for_status() + return response_message + + +class _StreamRequestMixin(Call): + _metadata_sent: asyncio.Event + _done_writing_flag: bool + _async_request_poller: Optional[asyncio.Task] + _request_style: _APIStyle + + def _init_stream_request_mixin( + self, request_iterator: Optional[RequestIterableType] + ): + self._metadata_sent = asyncio.Event() + self._done_writing_flag = False + + # If user passes in an async iterator, create a consumer Task. + if request_iterator is not None: + self._async_request_poller = self._loop.create_task( + self._consume_request_iterator(request_iterator) + ) + self._request_style = _APIStyle.ASYNC_GENERATOR + else: + self._async_request_poller = None + self._request_style = _APIStyle.READER_WRITER + + def _raise_for_different_style(self, style: _APIStyle): + if self._request_style is not style: + raise cygrpc.UsageError(_API_STYLE_ERROR) + + def cancel(self) -> bool: + if super().cancel(): + if self._async_request_poller is not None: + self._async_request_poller.cancel() + return True + else: + return False + + def _metadata_sent_observer(self): + self._metadata_sent.set() + + async def _consume_request_iterator( + self, request_iterator: RequestIterableType + ) -> None: + try: + if inspect.isasyncgen(request_iterator) or hasattr( + request_iterator, "__aiter__" + ): + async for request in request_iterator: + try: + await self._write(request) + except AioRpcError as rpc_error: + _LOGGER.debug( + ( + "Exception while consuming the" + " request_iterator: %s" + ), + rpc_error, + ) + return + else: + for request in request_iterator: + try: + await self._write(request) + except AioRpcError as rpc_error: + _LOGGER.debug( + ( + "Exception while consuming the" + " request_iterator: %s" + ), + rpc_error, + ) + return + + await self._done_writing() + except: # pylint: disable=bare-except + # Client iterators can raise exceptions, which we should handle by + # cancelling the RPC and logging the client's error. No exceptions + # should escape this function. + _LOGGER.debug( + "Client request_iterator raised exception:\n%s", + traceback.format_exc(), + ) + self.cancel() + + async def _write(self, request: RequestType) -> None: + if self.done(): + raise asyncio.InvalidStateError(_RPC_ALREADY_FINISHED_DETAILS) + if self._done_writing_flag: + raise asyncio.InvalidStateError(_RPC_HALF_CLOSED_DETAILS) + if not self._metadata_sent.is_set(): + await self._metadata_sent.wait() + if self.done(): + await self._raise_for_status() + + serialized_request = _common.serialize( + request, self._request_serializer + ) + try: + await self._cython_call.send_serialized_message(serialized_request) + except cygrpc.InternalError as err: + self._cython_call.set_internal_error(str(err)) + await self._raise_for_status() + except asyncio.CancelledError: + if not self.cancelled(): + self.cancel() + raise + + async def _done_writing(self) -> None: + if self.done(): + # If the RPC is finished, do nothing. + return + if not self._done_writing_flag: + # If the done writing is not sent before, try to send it. + self._done_writing_flag = True + try: + await self._cython_call.send_receive_close() + except asyncio.CancelledError: + if not self.cancelled(): + self.cancel() + raise + + async def write(self, request: RequestType) -> None: + self._raise_for_different_style(_APIStyle.READER_WRITER) + await self._write(request) + + async def done_writing(self) -> None: + """Signal peer that client is done writing. + + This method is idempotent. + """ + self._raise_for_different_style(_APIStyle.READER_WRITER) + await self._done_writing() + + async def wait_for_connection(self) -> None: + await self._metadata_sent.wait() + if self.done(): + await self._raise_for_status() + + +class UnaryUnaryCall(_UnaryResponseMixin, Call, _base_call.UnaryUnaryCall): + """Object for managing unary-unary RPC calls. + + Returned when an instance of `UnaryUnaryMultiCallable` object is called. + """ + + _request: RequestType + _invocation_task: asyncio.Task + + # pylint: disable=too-many-arguments + def __init__( + self, + request: RequestType, + deadline: Optional[float], + metadata: Metadata, + credentials: Optional[grpc.CallCredentials], + wait_for_ready: Optional[bool], + channel: cygrpc.AioChannel, + method: bytes, + request_serializer: SerializingFunction, + response_deserializer: DeserializingFunction, + loop: asyncio.AbstractEventLoop, + ) -> None: + super().__init__( + channel.call(method, deadline, credentials, wait_for_ready), + metadata, + request_serializer, + response_deserializer, + loop, + ) + self._request = request + self._context = cygrpc.build_census_context() + self._invocation_task = loop.create_task(self._invoke()) + self._init_unary_response_mixin(self._invocation_task) + + async def _invoke(self) -> ResponseType: + serialized_request = _common.serialize( + self._request, self._request_serializer + ) + + # NOTE(lidiz) asyncio.CancelledError is not a good transport for status, + # because the asyncio.Task class do not cache the exception object. + # https://github.com/python/cpython/blob/edad4d89e357c92f70c0324b937845d652b20afd/Lib/asyncio/tasks.py#L785 + try: + serialized_response = await self._cython_call.unary_unary( + serialized_request, self._metadata, self._context + ) + except asyncio.CancelledError: + if not self.cancelled(): + self.cancel() + + if self._cython_call.is_ok(): + return _common.deserialize( + serialized_response, self._response_deserializer + ) + else: + return cygrpc.EOF + + async def wait_for_connection(self) -> None: + await self._invocation_task + if self.done(): + await self._raise_for_status() + + +class UnaryStreamCall(_StreamResponseMixin, Call, _base_call.UnaryStreamCall): + """Object for managing unary-stream RPC calls. + + Returned when an instance of `UnaryStreamMultiCallable` object is called. + """ + + _request: RequestType + _send_unary_request_task: asyncio.Task + + # pylint: disable=too-many-arguments + def __init__( + self, + request: RequestType, + deadline: Optional[float], + metadata: Metadata, + credentials: Optional[grpc.CallCredentials], + wait_for_ready: Optional[bool], + channel: cygrpc.AioChannel, + method: bytes, + request_serializer: SerializingFunction, + response_deserializer: DeserializingFunction, + loop: asyncio.AbstractEventLoop, + ) -> None: + super().__init__( + channel.call(method, deadline, credentials, wait_for_ready), + metadata, + request_serializer, + response_deserializer, + loop, + ) + self._request = request + self._context = cygrpc.build_census_context() + self._send_unary_request_task = loop.create_task( + self._send_unary_request() + ) + self._init_stream_response_mixin(self._send_unary_request_task) + + async def _send_unary_request(self) -> ResponseType: + serialized_request = _common.serialize( + self._request, self._request_serializer + ) + try: + await self._cython_call.initiate_unary_stream( + serialized_request, self._metadata, self._context + ) + except asyncio.CancelledError: + if not self.cancelled(): + self.cancel() + raise + + async def wait_for_connection(self) -> None: + await self._send_unary_request_task + if self.done(): + await self._raise_for_status() + + +# pylint: disable=too-many-ancestors +class StreamUnaryCall( + _StreamRequestMixin, _UnaryResponseMixin, Call, _base_call.StreamUnaryCall +): + """Object for managing stream-unary RPC calls. + + Returned when an instance of `StreamUnaryMultiCallable` object is called. + """ + + # pylint: disable=too-many-arguments + def __init__( + self, + request_iterator: Optional[RequestIterableType], + deadline: Optional[float], + metadata: Metadata, + credentials: Optional[grpc.CallCredentials], + wait_for_ready: Optional[bool], + channel: cygrpc.AioChannel, + method: bytes, + request_serializer: SerializingFunction, + response_deserializer: DeserializingFunction, + loop: asyncio.AbstractEventLoop, + ) -> None: + super().__init__( + channel.call(method, deadline, credentials, wait_for_ready), + metadata, + request_serializer, + response_deserializer, + loop, + ) + + self._context = cygrpc.build_census_context() + self._init_stream_request_mixin(request_iterator) + self._init_unary_response_mixin(loop.create_task(self._conduct_rpc())) + + async def _conduct_rpc(self) -> ResponseType: + try: + serialized_response = await self._cython_call.stream_unary( + self._metadata, self._metadata_sent_observer, self._context + ) + except asyncio.CancelledError: + if not self.cancelled(): + self.cancel() + raise + + if self._cython_call.is_ok(): + return _common.deserialize( + serialized_response, self._response_deserializer + ) + else: + return cygrpc.EOF + + +class StreamStreamCall( + _StreamRequestMixin, _StreamResponseMixin, Call, _base_call.StreamStreamCall +): + """Object for managing stream-stream RPC calls. + + Returned when an instance of `StreamStreamMultiCallable` object is called. + """ + + _initializer: asyncio.Task + + # pylint: disable=too-many-arguments + def __init__( + self, + request_iterator: Optional[RequestIterableType], + deadline: Optional[float], + metadata: Metadata, + credentials: Optional[grpc.CallCredentials], + wait_for_ready: Optional[bool], + channel: cygrpc.AioChannel, + method: bytes, + request_serializer: SerializingFunction, + response_deserializer: DeserializingFunction, + loop: asyncio.AbstractEventLoop, + ) -> None: + super().__init__( + channel.call(method, deadline, credentials, wait_for_ready), + metadata, + request_serializer, + response_deserializer, + loop, + ) + self._context = cygrpc.build_census_context() + self._initializer = self._loop.create_task(self._prepare_rpc()) + self._init_stream_request_mixin(request_iterator) + self._init_stream_response_mixin(self._initializer) + + async def _prepare_rpc(self): + """This method prepares the RPC for receiving/sending messages. + + All other operations around the stream should only happen after the + completion of this method. + """ + try: + await self._cython_call.initiate_stream_stream( + self._metadata, self._metadata_sent_observer, self._context + ) + except asyncio.CancelledError: + if not self.cancelled(): + self.cancel() + # No need to raise RpcError here, because no one will `await` this task. diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_channel.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_channel.py new file mode 100644 index 0000000000000000000000000000000000000000..62537f12670e6b12afb6c0124a0ac0d49eaf4144 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_channel.py @@ -0,0 +1,627 @@ +# Copyright 2019 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Invocation-side implementation of gRPC Asyncio Python.""" + +import asyncio +import sys +from typing import Any, Iterable, List, Optional, Sequence + +import grpc +from grpc import _common +from grpc import _compression +from grpc import _grpcio_metadata +from grpc._cython import cygrpc + +from . import _base_call +from . import _base_channel +from ._call import StreamStreamCall +from ._call import StreamUnaryCall +from ._call import UnaryStreamCall +from ._call import UnaryUnaryCall +from ._interceptor import ClientInterceptor +from ._interceptor import InterceptedStreamStreamCall +from ._interceptor import InterceptedStreamUnaryCall +from ._interceptor import InterceptedUnaryStreamCall +from ._interceptor import InterceptedUnaryUnaryCall +from ._interceptor import StreamStreamClientInterceptor +from ._interceptor import StreamUnaryClientInterceptor +from ._interceptor import UnaryStreamClientInterceptor +from ._interceptor import UnaryUnaryClientInterceptor +from ._metadata import Metadata +from ._typing import ChannelArgumentType +from ._typing import DeserializingFunction +from ._typing import MetadataType +from ._typing import RequestIterableType +from ._typing import RequestType +from ._typing import ResponseType +from ._typing import SerializingFunction +from ._utils import _timeout_to_deadline + +_USER_AGENT = "grpc-python-asyncio/{}".format(_grpcio_metadata.__version__) + +if sys.version_info[1] < 7: + + def _all_tasks() -> Iterable[asyncio.Task]: + return asyncio.Task.all_tasks() # pylint: disable=no-member + +else: + + def _all_tasks() -> Iterable[asyncio.Task]: + return asyncio.all_tasks() + + +def _augment_channel_arguments( + base_options: ChannelArgumentType, compression: Optional[grpc.Compression] +): + compression_channel_argument = _compression.create_channel_option( + compression + ) + user_agent_channel_argument = ( + ( + cygrpc.ChannelArgKey.primary_user_agent_string, + _USER_AGENT, + ), + ) + return ( + tuple(base_options) + + compression_channel_argument + + user_agent_channel_argument + ) + + +class _BaseMultiCallable: + """Base class of all multi callable objects. + + Handles the initialization logic and stores common attributes. + """ + + _loop: asyncio.AbstractEventLoop + _channel: cygrpc.AioChannel + _method: bytes + _request_serializer: SerializingFunction + _response_deserializer: DeserializingFunction + _interceptors: Optional[Sequence[ClientInterceptor]] + _references: List[Any] + _loop: asyncio.AbstractEventLoop + + # pylint: disable=too-many-arguments + def __init__( + self, + channel: cygrpc.AioChannel, + method: bytes, + request_serializer: SerializingFunction, + response_deserializer: DeserializingFunction, + interceptors: Optional[Sequence[ClientInterceptor]], + references: List[Any], + loop: asyncio.AbstractEventLoop, + ) -> None: + self._loop = loop + self._channel = channel + self._method = method + self._request_serializer = request_serializer + self._response_deserializer = response_deserializer + self._interceptors = interceptors + self._references = references + + @staticmethod + def _init_metadata( + metadata: Optional[MetadataType] = None, + compression: Optional[grpc.Compression] = None, + ) -> Metadata: + """Based on the provided values for or initialise the final + metadata, as it should be used for the current call. + """ + metadata = metadata or Metadata() + if not isinstance(metadata, Metadata) and isinstance(metadata, tuple): + metadata = Metadata.from_tuple(metadata) + if compression: + metadata = Metadata( + *_compression.augment_metadata(metadata, compression) + ) + return metadata + + +class UnaryUnaryMultiCallable( + _BaseMultiCallable, _base_channel.UnaryUnaryMultiCallable +): + def __call__( + self, + request: RequestType, + *, + timeout: Optional[float] = None, + metadata: Optional[MetadataType] = None, + credentials: Optional[grpc.CallCredentials] = None, + wait_for_ready: Optional[bool] = None, + compression: Optional[grpc.Compression] = None, + ) -> _base_call.UnaryUnaryCall[RequestType, ResponseType]: + metadata = self._init_metadata(metadata, compression) + if not self._interceptors: + call = UnaryUnaryCall( + request, + _timeout_to_deadline(timeout), + metadata, + credentials, + wait_for_ready, + self._channel, + self._method, + self._request_serializer, + self._response_deserializer, + self._loop, + ) + else: + call = InterceptedUnaryUnaryCall( + self._interceptors, + request, + timeout, + metadata, + credentials, + wait_for_ready, + self._channel, + self._method, + self._request_serializer, + self._response_deserializer, + self._loop, + ) + + return call + + +class UnaryStreamMultiCallable( + _BaseMultiCallable, _base_channel.UnaryStreamMultiCallable +): + def __call__( + self, + request: RequestType, + *, + timeout: Optional[float] = None, + metadata: Optional[MetadataType] = None, + credentials: Optional[grpc.CallCredentials] = None, + wait_for_ready: Optional[bool] = None, + compression: Optional[grpc.Compression] = None, + ) -> _base_call.UnaryStreamCall[RequestType, ResponseType]: + metadata = self._init_metadata(metadata, compression) + + if not self._interceptors: + call = UnaryStreamCall( + request, + _timeout_to_deadline(timeout), + metadata, + credentials, + wait_for_ready, + self._channel, + self._method, + self._request_serializer, + self._response_deserializer, + self._loop, + ) + else: + call = InterceptedUnaryStreamCall( + self._interceptors, + request, + timeout, + metadata, + credentials, + wait_for_ready, + self._channel, + self._method, + self._request_serializer, + self._response_deserializer, + self._loop, + ) + + return call + + +class StreamUnaryMultiCallable( + _BaseMultiCallable, _base_channel.StreamUnaryMultiCallable +): + def __call__( + self, + request_iterator: Optional[RequestIterableType] = None, + timeout: Optional[float] = None, + metadata: Optional[MetadataType] = None, + credentials: Optional[grpc.CallCredentials] = None, + wait_for_ready: Optional[bool] = None, + compression: Optional[grpc.Compression] = None, + ) -> _base_call.StreamUnaryCall: + metadata = self._init_metadata(metadata, compression) + + if not self._interceptors: + call = StreamUnaryCall( + request_iterator, + _timeout_to_deadline(timeout), + metadata, + credentials, + wait_for_ready, + self._channel, + self._method, + self._request_serializer, + self._response_deserializer, + self._loop, + ) + else: + call = InterceptedStreamUnaryCall( + self._interceptors, + request_iterator, + timeout, + metadata, + credentials, + wait_for_ready, + self._channel, + self._method, + self._request_serializer, + self._response_deserializer, + self._loop, + ) + + return call + + +class StreamStreamMultiCallable( + _BaseMultiCallable, _base_channel.StreamStreamMultiCallable +): + def __call__( + self, + request_iterator: Optional[RequestIterableType] = None, + timeout: Optional[float] = None, + metadata: Optional[MetadataType] = None, + credentials: Optional[grpc.CallCredentials] = None, + wait_for_ready: Optional[bool] = None, + compression: Optional[grpc.Compression] = None, + ) -> _base_call.StreamStreamCall: + metadata = self._init_metadata(metadata, compression) + + if not self._interceptors: + call = StreamStreamCall( + request_iterator, + _timeout_to_deadline(timeout), + metadata, + credentials, + wait_for_ready, + self._channel, + self._method, + self._request_serializer, + self._response_deserializer, + self._loop, + ) + else: + call = InterceptedStreamStreamCall( + self._interceptors, + request_iterator, + timeout, + metadata, + credentials, + wait_for_ready, + self._channel, + self._method, + self._request_serializer, + self._response_deserializer, + self._loop, + ) + + return call + + +class Channel(_base_channel.Channel): + _loop: asyncio.AbstractEventLoop + _channel: cygrpc.AioChannel + _unary_unary_interceptors: List[UnaryUnaryClientInterceptor] + _unary_stream_interceptors: List[UnaryStreamClientInterceptor] + _stream_unary_interceptors: List[StreamUnaryClientInterceptor] + _stream_stream_interceptors: List[StreamStreamClientInterceptor] + + def __init__( + self, + target: str, + options: ChannelArgumentType, + credentials: Optional[grpc.ChannelCredentials], + compression: Optional[grpc.Compression], + interceptors: Optional[Sequence[ClientInterceptor]], + ): + """Constructor. + + Args: + target: The target to which to connect. + options: Configuration options for the channel. + credentials: A cygrpc.ChannelCredentials or None. + compression: An optional value indicating the compression method to be + used over the lifetime of the channel. + interceptors: An optional list of interceptors that would be used for + intercepting any RPC executed with that channel. + """ + self._unary_unary_interceptors = [] + self._unary_stream_interceptors = [] + self._stream_unary_interceptors = [] + self._stream_stream_interceptors = [] + + if interceptors is not None: + for interceptor in interceptors: + if isinstance(interceptor, UnaryUnaryClientInterceptor): + self._unary_unary_interceptors.append(interceptor) + elif isinstance(interceptor, UnaryStreamClientInterceptor): + self._unary_stream_interceptors.append(interceptor) + elif isinstance(interceptor, StreamUnaryClientInterceptor): + self._stream_unary_interceptors.append(interceptor) + elif isinstance(interceptor, StreamStreamClientInterceptor): + self._stream_stream_interceptors.append(interceptor) + else: + raise ValueError( + "Interceptor {} must be ".format(interceptor) + + "{} or ".format(UnaryUnaryClientInterceptor.__name__) + + "{} or ".format(UnaryStreamClientInterceptor.__name__) + + "{} or ".format(StreamUnaryClientInterceptor.__name__) + + "{}. ".format(StreamStreamClientInterceptor.__name__) + ) + + self._loop = cygrpc.get_working_loop() + self._channel = cygrpc.AioChannel( + _common.encode(target), + _augment_channel_arguments(options, compression), + credentials, + self._loop, + ) + + async def __aenter__(self): + return self + + async def __aexit__(self, exc_type, exc_val, exc_tb): + await self._close(None) + + async def _close(self, grace): # pylint: disable=too-many-branches + if self._channel.closed(): + return + + # No new calls will be accepted by the Cython channel. + self._channel.closing() + + # Iterate through running tasks + tasks = _all_tasks() + calls = [] + call_tasks = [] + for task in tasks: + try: + stack = task.get_stack(limit=1) + except AttributeError as attribute_error: + # NOTE(lidiz) tl;dr: If the Task is created with a CPython + # object, it will trigger AttributeError. + # + # In the global finalizer, the event loop schedules + # a CPython PyAsyncGenAThrow object. + # https://github.com/python/cpython/blob/00e45877e33d32bb61aa13a2033e3bba370bda4d/Lib/asyncio/base_events.py#L484 + # + # However, the PyAsyncGenAThrow object is written in C and + # failed to include the normal Python frame objects. Hence, + # this exception is a false negative, and it is safe to ignore + # the failure. It is fixed by https://github.com/python/cpython/pull/18669, + # but not available until 3.9 or 3.8.3. So, we have to keep it + # for a while. + # TODO(lidiz) drop this hack after 3.8 deprecation + if "frame" in str(attribute_error): + continue + else: + raise + + # If the Task is created by a C-extension, the stack will be empty. + if not stack: + continue + + # Locate ones created by `aio.Call`. + frame = stack[0] + candidate = frame.f_locals.get("self") + # Explicitly check for a non-null candidate instead of the more pythonic 'if candidate:' + # because doing 'if candidate:' assumes that the coroutine implements '__bool__' which + # might not always be the case. + if candidate is not None: + if isinstance(candidate, _base_call.Call): + if hasattr(candidate, "_channel"): + # For intercepted Call object + if candidate._channel is not self._channel: + continue + elif hasattr(candidate, "_cython_call"): + # For normal Call object + if candidate._cython_call._channel is not self._channel: + continue + else: + # Unidentified Call object + raise cygrpc.InternalError( + f"Unrecognized call object: {candidate}" + ) + + calls.append(candidate) + call_tasks.append(task) + + # If needed, try to wait for them to finish. + # Call objects are not always awaitables. + if grace and call_tasks: + await asyncio.wait(call_tasks, timeout=grace) + + # Time to cancel existing calls. + for call in calls: + call.cancel() + + # Destroy the channel + self._channel.close() + + async def close(self, grace: Optional[float] = None): + await self._close(grace) + + def __del__(self): + if hasattr(self, "_channel"): + if not self._channel.closed(): + self._channel.close() + + def get_state( + self, try_to_connect: bool = False + ) -> grpc.ChannelConnectivity: + result = self._channel.check_connectivity_state(try_to_connect) + return _common.CYGRPC_CONNECTIVITY_STATE_TO_CHANNEL_CONNECTIVITY[result] + + async def wait_for_state_change( + self, + last_observed_state: grpc.ChannelConnectivity, + ) -> None: + assert await self._channel.watch_connectivity_state( + last_observed_state.value[0], None + ) + + async def channel_ready(self) -> None: + state = self.get_state(try_to_connect=True) + while state != grpc.ChannelConnectivity.READY: + await self.wait_for_state_change(state) + state = self.get_state(try_to_connect=True) + + # TODO(xuanwn): Implement this method after we have + # observability for Asyncio. + def _get_registered_call_handle(self, method: str) -> int: + pass + + # TODO(xuanwn): Implement _registered_method after we have + # observability for Asyncio. + # pylint: disable=arguments-differ,unused-argument + def unary_unary( + self, + method: str, + request_serializer: Optional[SerializingFunction] = None, + response_deserializer: Optional[DeserializingFunction] = None, + _registered_method: Optional[bool] = False, + ) -> UnaryUnaryMultiCallable: + return UnaryUnaryMultiCallable( + self._channel, + _common.encode(method), + request_serializer, + response_deserializer, + self._unary_unary_interceptors, + [self], + self._loop, + ) + + # TODO(xuanwn): Implement _registered_method after we have + # observability for Asyncio. + # pylint: disable=arguments-differ,unused-argument + def unary_stream( + self, + method: str, + request_serializer: Optional[SerializingFunction] = None, + response_deserializer: Optional[DeserializingFunction] = None, + _registered_method: Optional[bool] = False, + ) -> UnaryStreamMultiCallable: + return UnaryStreamMultiCallable( + self._channel, + _common.encode(method), + request_serializer, + response_deserializer, + self._unary_stream_interceptors, + [self], + self._loop, + ) + + # TODO(xuanwn): Implement _registered_method after we have + # observability for Asyncio. + # pylint: disable=arguments-differ,unused-argument + def stream_unary( + self, + method: str, + request_serializer: Optional[SerializingFunction] = None, + response_deserializer: Optional[DeserializingFunction] = None, + _registered_method: Optional[bool] = False, + ) -> StreamUnaryMultiCallable: + return StreamUnaryMultiCallable( + self._channel, + _common.encode(method), + request_serializer, + response_deserializer, + self._stream_unary_interceptors, + [self], + self._loop, + ) + + # TODO(xuanwn): Implement _registered_method after we have + # observability for Asyncio. + # pylint: disable=arguments-differ,unused-argument + def stream_stream( + self, + method: str, + request_serializer: Optional[SerializingFunction] = None, + response_deserializer: Optional[DeserializingFunction] = None, + _registered_method: Optional[bool] = False, + ) -> StreamStreamMultiCallable: + return StreamStreamMultiCallable( + self._channel, + _common.encode(method), + request_serializer, + response_deserializer, + self._stream_stream_interceptors, + [self], + self._loop, + ) + + +def insecure_channel( + target: str, + options: Optional[ChannelArgumentType] = None, + compression: Optional[grpc.Compression] = None, + interceptors: Optional[Sequence[ClientInterceptor]] = None, +): + """Creates an insecure asynchronous Channel to a server. + + Args: + target: The server address + options: An optional list of key-value pairs (:term:`channel_arguments` + in gRPC Core runtime) to configure the channel. + compression: An optional value indicating the compression method to be + used over the lifetime of the channel. + interceptors: An optional sequence of interceptors that will be executed for + any call executed with this channel. + + Returns: + A Channel. + """ + return Channel( + target, + () if options is None else options, + None, + compression, + interceptors, + ) + + +def secure_channel( + target: str, + credentials: grpc.ChannelCredentials, + options: Optional[ChannelArgumentType] = None, + compression: Optional[grpc.Compression] = None, + interceptors: Optional[Sequence[ClientInterceptor]] = None, +): + """Creates a secure asynchronous Channel to a server. + + Args: + target: The server address. + credentials: A ChannelCredentials instance. + options: An optional list of key-value pairs (:term:`channel_arguments` + in gRPC Core runtime) to configure the channel. + compression: An optional value indicating the compression method to be + used over the lifetime of the channel. + interceptors: An optional sequence of interceptors that will be executed for + any call executed with this channel. + + Returns: + An aio.Channel. + """ + return Channel( + target, + () if options is None else options, + credentials._credentials, + compression, + interceptors, + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_interceptor.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_interceptor.py new file mode 100644 index 0000000000000000000000000000000000000000..1d609534108fe102099e3a35a6c0623f05d0a729 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_interceptor.py @@ -0,0 +1,1178 @@ +# Copyright 2019 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Interceptors implementation of gRPC Asyncio Python.""" +from abc import ABCMeta +from abc import abstractmethod +import asyncio +import collections +import functools +from typing import ( + AsyncIterable, + Awaitable, + Callable, + Iterator, + List, + Optional, + Sequence, + Union, +) + +import grpc +from grpc._cython import cygrpc + +from . import _base_call +from ._call import AioRpcError +from ._call import StreamStreamCall +from ._call import StreamUnaryCall +from ._call import UnaryStreamCall +from ._call import UnaryUnaryCall +from ._call import _API_STYLE_ERROR +from ._call import _RPC_ALREADY_FINISHED_DETAILS +from ._call import _RPC_HALF_CLOSED_DETAILS +from ._metadata import Metadata +from ._typing import DeserializingFunction +from ._typing import DoneCallbackType +from ._typing import EOFType +from ._typing import RequestIterableType +from ._typing import RequestType +from ._typing import ResponseIterableType +from ._typing import ResponseType +from ._typing import SerializingFunction +from ._utils import _timeout_to_deadline + +_LOCAL_CANCELLATION_DETAILS = "Locally cancelled by application!" + + +class ServerInterceptor(metaclass=ABCMeta): + """Affords intercepting incoming RPCs on the service-side. + + This is an EXPERIMENTAL API. + """ + + @abstractmethod + async def intercept_service( + self, + continuation: Callable[ + [grpc.HandlerCallDetails], Awaitable[grpc.RpcMethodHandler] + ], + handler_call_details: grpc.HandlerCallDetails, + ) -> grpc.RpcMethodHandler: + """Intercepts incoming RPCs before handing them over to a handler. + + State can be passed from an interceptor to downstream interceptors + via contextvars. The first interceptor is called from an empty + contextvars.Context, and the same Context is used for downstream + interceptors and for the final handler call. Note that there are no + guarantees that interceptors and handlers will be called from the + same thread. + + Args: + continuation: A function that takes a HandlerCallDetails and + proceeds to invoke the next interceptor in the chain, if any, + or the RPC handler lookup logic, with the call details passed + as an argument, and returns an RpcMethodHandler instance if + the RPC is considered serviced, or None otherwise. + handler_call_details: A HandlerCallDetails describing the RPC. + + Returns: + An RpcMethodHandler with which the RPC may be serviced if the + interceptor chooses to service this RPC, or None otherwise. + """ + + +class ClientCallDetails( + collections.namedtuple( + "ClientCallDetails", + ("method", "timeout", "metadata", "credentials", "wait_for_ready"), + ), + grpc.ClientCallDetails, +): + """Describes an RPC to be invoked. + + This is an EXPERIMENTAL API. + + Args: + method: The method name of the RPC. + timeout: An optional duration of time in seconds to allow for the RPC. + metadata: Optional metadata to be transmitted to the service-side of + the RPC. + credentials: An optional CallCredentials for the RPC. + wait_for_ready: An optional flag to enable :term:`wait_for_ready` mechanism. + """ + + method: str + timeout: Optional[float] + metadata: Optional[Metadata] + credentials: Optional[grpc.CallCredentials] + wait_for_ready: Optional[bool] + + +class ClientInterceptor(metaclass=ABCMeta): + """Base class used for all Aio Client Interceptor classes""" + + +class UnaryUnaryClientInterceptor(ClientInterceptor, metaclass=ABCMeta): + """Affords intercepting unary-unary invocations.""" + + @abstractmethod + async def intercept_unary_unary( + self, + continuation: Callable[ + [ClientCallDetails, RequestType], UnaryUnaryCall + ], + client_call_details: ClientCallDetails, + request: RequestType, + ) -> Union[UnaryUnaryCall, ResponseType]: + """Intercepts a unary-unary invocation asynchronously. + + Args: + continuation: A coroutine that proceeds with the invocation by + executing the next interceptor in the chain or invoking the + actual RPC on the underlying Channel. It is the interceptor's + responsibility to call it if it decides to move the RPC forward. + The interceptor can use + `call = await continuation(client_call_details, request)` + to continue with the RPC. `continuation` returns the call to the + RPC. + client_call_details: A ClientCallDetails object describing the + outgoing RPC. + request: The request value for the RPC. + + Returns: + An object with the RPC response. + + Raises: + AioRpcError: Indicating that the RPC terminated with non-OK status. + asyncio.CancelledError: Indicating that the RPC was canceled. + """ + + +class UnaryStreamClientInterceptor(ClientInterceptor, metaclass=ABCMeta): + """Affords intercepting unary-stream invocations.""" + + @abstractmethod + async def intercept_unary_stream( + self, + continuation: Callable[ + [ClientCallDetails, RequestType], UnaryStreamCall + ], + client_call_details: ClientCallDetails, + request: RequestType, + ) -> Union[ResponseIterableType, UnaryStreamCall]: + """Intercepts a unary-stream invocation asynchronously. + + The function could return the call object or an asynchronous + iterator, in case of being an asyncrhonous iterator this will + become the source of the reads done by the caller. + + Args: + continuation: A coroutine that proceeds with the invocation by + executing the next interceptor in the chain or invoking the + actual RPC on the underlying Channel. It is the interceptor's + responsibility to call it if it decides to move the RPC forward. + The interceptor can use + `call = await continuation(client_call_details, request)` + to continue with the RPC. `continuation` returns the call to the + RPC. + client_call_details: A ClientCallDetails object describing the + outgoing RPC. + request: The request value for the RPC. + + Returns: + The RPC Call or an asynchronous iterator. + + Raises: + AioRpcError: Indicating that the RPC terminated with non-OK status. + asyncio.CancelledError: Indicating that the RPC was canceled. + """ + + +class StreamUnaryClientInterceptor(ClientInterceptor, metaclass=ABCMeta): + """Affords intercepting stream-unary invocations.""" + + @abstractmethod + async def intercept_stream_unary( + self, + continuation: Callable[ + [ClientCallDetails, RequestType], StreamUnaryCall + ], + client_call_details: ClientCallDetails, + request_iterator: RequestIterableType, + ) -> StreamUnaryCall: + """Intercepts a stream-unary invocation asynchronously. + + Within the interceptor the usage of the call methods like `write` or + even awaiting the call should be done carefully, since the caller + could be expecting an untouched call, for example for start writing + messages to it. + + Args: + continuation: A coroutine that proceeds with the invocation by + executing the next interceptor in the chain or invoking the + actual RPC on the underlying Channel. It is the interceptor's + responsibility to call it if it decides to move the RPC forward. + The interceptor can use + `call = await continuation(client_call_details, request_iterator)` + to continue with the RPC. `continuation` returns the call to the + RPC. + client_call_details: A ClientCallDetails object describing the + outgoing RPC. + request_iterator: The request iterator that will produce requests + for the RPC. + + Returns: + The RPC Call. + + Raises: + AioRpcError: Indicating that the RPC terminated with non-OK status. + asyncio.CancelledError: Indicating that the RPC was canceled. + """ + + +class StreamStreamClientInterceptor(ClientInterceptor, metaclass=ABCMeta): + """Affords intercepting stream-stream invocations.""" + + @abstractmethod + async def intercept_stream_stream( + self, + continuation: Callable[ + [ClientCallDetails, RequestType], StreamStreamCall + ], + client_call_details: ClientCallDetails, + request_iterator: RequestIterableType, + ) -> Union[ResponseIterableType, StreamStreamCall]: + """Intercepts a stream-stream invocation asynchronously. + + Within the interceptor the usage of the call methods like `write` or + even awaiting the call should be done carefully, since the caller + could be expecting an untouched call, for example for start writing + messages to it. + + The function could return the call object or an asynchronous + iterator, in case of being an asyncrhonous iterator this will + become the source of the reads done by the caller. + + Args: + continuation: A coroutine that proceeds with the invocation by + executing the next interceptor in the chain or invoking the + actual RPC on the underlying Channel. It is the interceptor's + responsibility to call it if it decides to move the RPC forward. + The interceptor can use + `call = await continuation(client_call_details, request_iterator)` + to continue with the RPC. `continuation` returns the call to the + RPC. + client_call_details: A ClientCallDetails object describing the + outgoing RPC. + request_iterator: The request iterator that will produce requests + for the RPC. + + Returns: + The RPC Call or an asynchronous iterator. + + Raises: + AioRpcError: Indicating that the RPC terminated with non-OK status. + asyncio.CancelledError: Indicating that the RPC was canceled. + """ + + +class InterceptedCall: + """Base implementation for all intercepted call arities. + + Interceptors might have some work to do before the RPC invocation with + the capacity of changing the invocation parameters, and some work to do + after the RPC invocation with the capacity for accessing to the wrapped + `UnaryUnaryCall`. + + It handles also early and later cancellations, when the RPC has not even + started and the execution is still held by the interceptors or when the + RPC has finished but again the execution is still held by the interceptors. + + Once the RPC is finally executed, all methods are finally done against the + intercepted call, being at the same time the same call returned to the + interceptors. + + As a base class for all of the interceptors implements the logic around + final status, metadata and cancellation. + """ + + _interceptors_task: asyncio.Task + _pending_add_done_callbacks: Sequence[DoneCallbackType] + + def __init__(self, interceptors_task: asyncio.Task) -> None: + self._interceptors_task = interceptors_task + self._pending_add_done_callbacks = [] + self._interceptors_task.add_done_callback( + self._fire_or_add_pending_done_callbacks + ) + + def __del__(self): + self.cancel() + + def _fire_or_add_pending_done_callbacks( + self, interceptors_task: asyncio.Task + ) -> None: + if not self._pending_add_done_callbacks: + return + + call_completed = False + + try: + call = interceptors_task.result() + if call.done(): + call_completed = True + except (AioRpcError, asyncio.CancelledError): + call_completed = True + + if call_completed: + for callback in self._pending_add_done_callbacks: + callback(self) + else: + for callback in self._pending_add_done_callbacks: + callback = functools.partial( + self._wrap_add_done_callback, callback + ) + call.add_done_callback(callback) + + self._pending_add_done_callbacks = [] + + def _wrap_add_done_callback( + self, callback: DoneCallbackType, unused_call: _base_call.Call + ) -> None: + callback(self) + + def cancel(self) -> bool: + if not self._interceptors_task.done(): + # There is no yet the intercepted call available, + # Trying to cancel it by using the generic Asyncio + # cancellation method. + return self._interceptors_task.cancel() + + try: + call = self._interceptors_task.result() + except AioRpcError: + return False + except asyncio.CancelledError: + return False + + return call.cancel() + + def cancelled(self) -> bool: + if not self._interceptors_task.done(): + return False + + try: + call = self._interceptors_task.result() + except AioRpcError as err: + return err.code() == grpc.StatusCode.CANCELLED + except asyncio.CancelledError: + return True + + return call.cancelled() + + def done(self) -> bool: + if not self._interceptors_task.done(): + return False + + try: + call = self._interceptors_task.result() + except (AioRpcError, asyncio.CancelledError): + return True + + return call.done() + + def add_done_callback(self, callback: DoneCallbackType) -> None: + if not self._interceptors_task.done(): + self._pending_add_done_callbacks.append(callback) + return + + try: + call = self._interceptors_task.result() + except (AioRpcError, asyncio.CancelledError): + callback(self) + return + + if call.done(): + callback(self) + else: + callback = functools.partial(self._wrap_add_done_callback, callback) + call.add_done_callback(callback) + + def time_remaining(self) -> Optional[float]: + raise NotImplementedError() + + async def initial_metadata(self) -> Optional[Metadata]: + try: + call = await self._interceptors_task + except AioRpcError as err: + return err.initial_metadata() + except asyncio.CancelledError: + return None + + return await call.initial_metadata() + + async def trailing_metadata(self) -> Optional[Metadata]: + try: + call = await self._interceptors_task + except AioRpcError as err: + return err.trailing_metadata() + except asyncio.CancelledError: + return None + + return await call.trailing_metadata() + + async def code(self) -> grpc.StatusCode: + try: + call = await self._interceptors_task + except AioRpcError as err: + return err.code() + except asyncio.CancelledError: + return grpc.StatusCode.CANCELLED + + return await call.code() + + async def details(self) -> str: + try: + call = await self._interceptors_task + except AioRpcError as err: + return err.details() + except asyncio.CancelledError: + return _LOCAL_CANCELLATION_DETAILS + + return await call.details() + + async def debug_error_string(self) -> Optional[str]: + try: + call = await self._interceptors_task + except AioRpcError as err: + return err.debug_error_string() + except asyncio.CancelledError: + return "" + + return await call.debug_error_string() + + async def wait_for_connection(self) -> None: + call = await self._interceptors_task + return await call.wait_for_connection() + + +class _InterceptedUnaryResponseMixin: + def __await__(self): + call = yield from self._interceptors_task.__await__() + response = yield from call.__await__() + return response + + +class _InterceptedStreamResponseMixin: + _response_aiter: Optional[AsyncIterable[ResponseType]] + + def _init_stream_response_mixin(self) -> None: + # Is initialized later, otherwise if the iterator is not finally + # consumed a logging warning is emitted by Asyncio. + self._response_aiter = None + + async def _wait_for_interceptor_task_response_iterator( + self, + ) -> ResponseType: + call = await self._interceptors_task + async for response in call: + yield response + + def __aiter__(self) -> AsyncIterable[ResponseType]: + if self._response_aiter is None: + self._response_aiter = ( + self._wait_for_interceptor_task_response_iterator() + ) + return self._response_aiter + + async def read(self) -> Union[EOFType, ResponseType]: + if self._response_aiter is None: + self._response_aiter = ( + self._wait_for_interceptor_task_response_iterator() + ) + try: + return await self._response_aiter.asend(None) + except StopAsyncIteration: + return cygrpc.EOF + + +class _InterceptedStreamRequestMixin: + _write_to_iterator_async_gen: Optional[AsyncIterable[RequestType]] + _write_to_iterator_queue: Optional[asyncio.Queue] + _status_code_task: Optional[asyncio.Task] + + _FINISH_ITERATOR_SENTINEL = object() + + def _init_stream_request_mixin( + self, request_iterator: Optional[RequestIterableType] + ) -> RequestIterableType: + if request_iterator is None: + # We provide our own request iterator which is a proxy + # of the futures writes that will be done by the caller. + self._write_to_iterator_queue = asyncio.Queue(maxsize=1) + self._write_to_iterator_async_gen = ( + self._proxy_writes_as_request_iterator() + ) + self._status_code_task = None + request_iterator = self._write_to_iterator_async_gen + else: + self._write_to_iterator_queue = None + + return request_iterator + + async def _proxy_writes_as_request_iterator(self): + await self._interceptors_task + + while True: + value = await self._write_to_iterator_queue.get() + if ( + value + is _InterceptedStreamRequestMixin._FINISH_ITERATOR_SENTINEL + ): + break + yield value + + async def _write_to_iterator_queue_interruptible( + self, request: RequestType, call: InterceptedCall + ): + # Write the specified 'request' to the request iterator queue using the + # specified 'call' to allow for interruption of the write in the case + # of abrupt termination of the call. + if self._status_code_task is None: + self._status_code_task = self._loop.create_task(call.code()) + + await asyncio.wait( + ( + self._loop.create_task( + self._write_to_iterator_queue.put(request) + ), + self._status_code_task, + ), + return_when=asyncio.FIRST_COMPLETED, + ) + + async def write(self, request: RequestType) -> None: + # If no queue was created it means that requests + # should be expected through an iterators provided + # by the caller. + if self._write_to_iterator_queue is None: + raise cygrpc.UsageError(_API_STYLE_ERROR) + + try: + call = await self._interceptors_task + except (asyncio.CancelledError, AioRpcError): + raise asyncio.InvalidStateError(_RPC_ALREADY_FINISHED_DETAILS) + + if call.done(): + raise asyncio.InvalidStateError(_RPC_ALREADY_FINISHED_DETAILS) + elif call._done_writing_flag: + raise asyncio.InvalidStateError(_RPC_HALF_CLOSED_DETAILS) + + await self._write_to_iterator_queue_interruptible(request, call) + + if call.done(): + raise asyncio.InvalidStateError(_RPC_ALREADY_FINISHED_DETAILS) + + async def done_writing(self) -> None: + """Signal peer that client is done writing. + + This method is idempotent. + """ + # If no queue was created it means that requests + # should be expected through an iterators provided + # by the caller. + if self._write_to_iterator_queue is None: + raise cygrpc.UsageError(_API_STYLE_ERROR) + + try: + call = await self._interceptors_task + except asyncio.CancelledError: + raise asyncio.InvalidStateError(_RPC_ALREADY_FINISHED_DETAILS) + + await self._write_to_iterator_queue_interruptible( + _InterceptedStreamRequestMixin._FINISH_ITERATOR_SENTINEL, call + ) + + +class InterceptedUnaryUnaryCall( + _InterceptedUnaryResponseMixin, InterceptedCall, _base_call.UnaryUnaryCall +): + """Used for running a `UnaryUnaryCall` wrapped by interceptors. + + For the `__await__` method is it is proxied to the intercepted call only when + the interceptor task is finished. + """ + + _loop: asyncio.AbstractEventLoop + _channel: cygrpc.AioChannel + + # pylint: disable=too-many-arguments + def __init__( + self, + interceptors: Sequence[UnaryUnaryClientInterceptor], + request: RequestType, + timeout: Optional[float], + metadata: Metadata, + credentials: Optional[grpc.CallCredentials], + wait_for_ready: Optional[bool], + channel: cygrpc.AioChannel, + method: bytes, + request_serializer: SerializingFunction, + response_deserializer: DeserializingFunction, + loop: asyncio.AbstractEventLoop, + ) -> None: + self._loop = loop + self._channel = channel + interceptors_task = loop.create_task( + self._invoke( + interceptors, + method, + timeout, + metadata, + credentials, + wait_for_ready, + request, + request_serializer, + response_deserializer, + ) + ) + super().__init__(interceptors_task) + + # pylint: disable=too-many-arguments + async def _invoke( + self, + interceptors: Sequence[UnaryUnaryClientInterceptor], + method: bytes, + timeout: Optional[float], + metadata: Optional[Metadata], + credentials: Optional[grpc.CallCredentials], + wait_for_ready: Optional[bool], + request: RequestType, + request_serializer: SerializingFunction, + response_deserializer: DeserializingFunction, + ) -> UnaryUnaryCall: + """Run the RPC call wrapped in interceptors""" + + async def _run_interceptor( + interceptors: List[UnaryUnaryClientInterceptor], + client_call_details: ClientCallDetails, + request: RequestType, + ) -> _base_call.UnaryUnaryCall: + if interceptors: + continuation = functools.partial( + _run_interceptor, interceptors[1:] + ) + call_or_response = await interceptors[0].intercept_unary_unary( + continuation, client_call_details, request + ) + + if isinstance(call_or_response, _base_call.UnaryUnaryCall): + return call_or_response + else: + return UnaryUnaryCallResponse(call_or_response) + + else: + return UnaryUnaryCall( + request, + _timeout_to_deadline(client_call_details.timeout), + client_call_details.metadata, + client_call_details.credentials, + client_call_details.wait_for_ready, + self._channel, + client_call_details.method, + request_serializer, + response_deserializer, + self._loop, + ) + + client_call_details = ClientCallDetails( + method, timeout, metadata, credentials, wait_for_ready + ) + return await _run_interceptor( + list(interceptors), client_call_details, request + ) + + def time_remaining(self) -> Optional[float]: + raise NotImplementedError() + + +class InterceptedUnaryStreamCall( + _InterceptedStreamResponseMixin, InterceptedCall, _base_call.UnaryStreamCall +): + """Used for running a `UnaryStreamCall` wrapped by interceptors.""" + + _loop: asyncio.AbstractEventLoop + _channel: cygrpc.AioChannel + _last_returned_call_from_interceptors = Optional[_base_call.UnaryStreamCall] + + # pylint: disable=too-many-arguments + def __init__( + self, + interceptors: Sequence[UnaryStreamClientInterceptor], + request: RequestType, + timeout: Optional[float], + metadata: Metadata, + credentials: Optional[grpc.CallCredentials], + wait_for_ready: Optional[bool], + channel: cygrpc.AioChannel, + method: bytes, + request_serializer: SerializingFunction, + response_deserializer: DeserializingFunction, + loop: asyncio.AbstractEventLoop, + ) -> None: + self._loop = loop + self._channel = channel + self._init_stream_response_mixin() + self._last_returned_call_from_interceptors = None + interceptors_task = loop.create_task( + self._invoke( + interceptors, + method, + timeout, + metadata, + credentials, + wait_for_ready, + request, + request_serializer, + response_deserializer, + ) + ) + super().__init__(interceptors_task) + + # pylint: disable=too-many-arguments + async def _invoke( + self, + interceptors: Sequence[UnaryStreamClientInterceptor], + method: bytes, + timeout: Optional[float], + metadata: Optional[Metadata], + credentials: Optional[grpc.CallCredentials], + wait_for_ready: Optional[bool], + request: RequestType, + request_serializer: SerializingFunction, + response_deserializer: DeserializingFunction, + ) -> UnaryStreamCall: + """Run the RPC call wrapped in interceptors""" + + async def _run_interceptor( + interceptors: List[UnaryStreamClientInterceptor], + client_call_details: ClientCallDetails, + request: RequestType, + ) -> _base_call.UnaryStreamCall: + if interceptors: + continuation = functools.partial( + _run_interceptor, interceptors[1:] + ) + + call_or_response_iterator = await interceptors[ + 0 + ].intercept_unary_stream( + continuation, client_call_details, request + ) + + if isinstance( + call_or_response_iterator, _base_call.UnaryStreamCall + ): + self._last_returned_call_from_interceptors = ( + call_or_response_iterator + ) + else: + self._last_returned_call_from_interceptors = ( + UnaryStreamCallResponseIterator( + self._last_returned_call_from_interceptors, + call_or_response_iterator, + ) + ) + return self._last_returned_call_from_interceptors + else: + self._last_returned_call_from_interceptors = UnaryStreamCall( + request, + _timeout_to_deadline(client_call_details.timeout), + client_call_details.metadata, + client_call_details.credentials, + client_call_details.wait_for_ready, + self._channel, + client_call_details.method, + request_serializer, + response_deserializer, + self._loop, + ) + + return self._last_returned_call_from_interceptors + + client_call_details = ClientCallDetails( + method, timeout, metadata, credentials, wait_for_ready + ) + return await _run_interceptor( + list(interceptors), client_call_details, request + ) + + def time_remaining(self) -> Optional[float]: + raise NotImplementedError() + + +class InterceptedStreamUnaryCall( + _InterceptedUnaryResponseMixin, + _InterceptedStreamRequestMixin, + InterceptedCall, + _base_call.StreamUnaryCall, +): + """Used for running a `StreamUnaryCall` wrapped by interceptors. + + For the `__await__` method is it is proxied to the intercepted call only when + the interceptor task is finished. + """ + + _loop: asyncio.AbstractEventLoop + _channel: cygrpc.AioChannel + + # pylint: disable=too-many-arguments + def __init__( + self, + interceptors: Sequence[StreamUnaryClientInterceptor], + request_iterator: Optional[RequestIterableType], + timeout: Optional[float], + metadata: Metadata, + credentials: Optional[grpc.CallCredentials], + wait_for_ready: Optional[bool], + channel: cygrpc.AioChannel, + method: bytes, + request_serializer: SerializingFunction, + response_deserializer: DeserializingFunction, + loop: asyncio.AbstractEventLoop, + ) -> None: + self._loop = loop + self._channel = channel + request_iterator = self._init_stream_request_mixin(request_iterator) + interceptors_task = loop.create_task( + self._invoke( + interceptors, + method, + timeout, + metadata, + credentials, + wait_for_ready, + request_iterator, + request_serializer, + response_deserializer, + ) + ) + super().__init__(interceptors_task) + + # pylint: disable=too-many-arguments + async def _invoke( + self, + interceptors: Sequence[StreamUnaryClientInterceptor], + method: bytes, + timeout: Optional[float], + metadata: Optional[Metadata], + credentials: Optional[grpc.CallCredentials], + wait_for_ready: Optional[bool], + request_iterator: RequestIterableType, + request_serializer: SerializingFunction, + response_deserializer: DeserializingFunction, + ) -> StreamUnaryCall: + """Run the RPC call wrapped in interceptors""" + + async def _run_interceptor( + interceptors: Iterator[StreamUnaryClientInterceptor], + client_call_details: ClientCallDetails, + request_iterator: RequestIterableType, + ) -> _base_call.StreamUnaryCall: + if interceptors: + continuation = functools.partial( + _run_interceptor, interceptors[1:] + ) + + return await interceptors[0].intercept_stream_unary( + continuation, client_call_details, request_iterator + ) + else: + return StreamUnaryCall( + request_iterator, + _timeout_to_deadline(client_call_details.timeout), + client_call_details.metadata, + client_call_details.credentials, + client_call_details.wait_for_ready, + self._channel, + client_call_details.method, + request_serializer, + response_deserializer, + self._loop, + ) + + client_call_details = ClientCallDetails( + method, timeout, metadata, credentials, wait_for_ready + ) + return await _run_interceptor( + list(interceptors), client_call_details, request_iterator + ) + + def time_remaining(self) -> Optional[float]: + raise NotImplementedError() + + +class InterceptedStreamStreamCall( + _InterceptedStreamResponseMixin, + _InterceptedStreamRequestMixin, + InterceptedCall, + _base_call.StreamStreamCall, +): + """Used for running a `StreamStreamCall` wrapped by interceptors.""" + + _loop: asyncio.AbstractEventLoop + _channel: cygrpc.AioChannel + _last_returned_call_from_interceptors = Optional[ + _base_call.StreamStreamCall + ] + + # pylint: disable=too-many-arguments + def __init__( + self, + interceptors: Sequence[StreamStreamClientInterceptor], + request_iterator: Optional[RequestIterableType], + timeout: Optional[float], + metadata: Metadata, + credentials: Optional[grpc.CallCredentials], + wait_for_ready: Optional[bool], + channel: cygrpc.AioChannel, + method: bytes, + request_serializer: SerializingFunction, + response_deserializer: DeserializingFunction, + loop: asyncio.AbstractEventLoop, + ) -> None: + self._loop = loop + self._channel = channel + self._init_stream_response_mixin() + request_iterator = self._init_stream_request_mixin(request_iterator) + self._last_returned_call_from_interceptors = None + interceptors_task = loop.create_task( + self._invoke( + interceptors, + method, + timeout, + metadata, + credentials, + wait_for_ready, + request_iterator, + request_serializer, + response_deserializer, + ) + ) + super().__init__(interceptors_task) + + # pylint: disable=too-many-arguments + async def _invoke( + self, + interceptors: Sequence[StreamStreamClientInterceptor], + method: bytes, + timeout: Optional[float], + metadata: Optional[Metadata], + credentials: Optional[grpc.CallCredentials], + wait_for_ready: Optional[bool], + request_iterator: RequestIterableType, + request_serializer: SerializingFunction, + response_deserializer: DeserializingFunction, + ) -> StreamStreamCall: + """Run the RPC call wrapped in interceptors""" + + async def _run_interceptor( + interceptors: List[StreamStreamClientInterceptor], + client_call_details: ClientCallDetails, + request_iterator: RequestIterableType, + ) -> _base_call.StreamStreamCall: + if interceptors: + continuation = functools.partial( + _run_interceptor, interceptors[1:] + ) + + call_or_response_iterator = await interceptors[ + 0 + ].intercept_stream_stream( + continuation, client_call_details, request_iterator + ) + + if isinstance( + call_or_response_iterator, _base_call.StreamStreamCall + ): + self._last_returned_call_from_interceptors = ( + call_or_response_iterator + ) + else: + self._last_returned_call_from_interceptors = ( + StreamStreamCallResponseIterator( + self._last_returned_call_from_interceptors, + call_or_response_iterator, + ) + ) + return self._last_returned_call_from_interceptors + else: + self._last_returned_call_from_interceptors = StreamStreamCall( + request_iterator, + _timeout_to_deadline(client_call_details.timeout), + client_call_details.metadata, + client_call_details.credentials, + client_call_details.wait_for_ready, + self._channel, + client_call_details.method, + request_serializer, + response_deserializer, + self._loop, + ) + return self._last_returned_call_from_interceptors + + client_call_details = ClientCallDetails( + method, timeout, metadata, credentials, wait_for_ready + ) + return await _run_interceptor( + list(interceptors), client_call_details, request_iterator + ) + + def time_remaining(self) -> Optional[float]: + raise NotImplementedError() + + +class UnaryUnaryCallResponse(_base_call.UnaryUnaryCall): + """Final UnaryUnaryCall class finished with a response.""" + + _response: ResponseType + + def __init__(self, response: ResponseType) -> None: + self._response = response + + def cancel(self) -> bool: + return False + + def cancelled(self) -> bool: + return False + + def done(self) -> bool: + return True + + def add_done_callback(self, unused_callback) -> None: + raise NotImplementedError() + + def time_remaining(self) -> Optional[float]: + raise NotImplementedError() + + async def initial_metadata(self) -> Optional[Metadata]: + return None + + async def trailing_metadata(self) -> Optional[Metadata]: + return None + + async def code(self) -> grpc.StatusCode: + return grpc.StatusCode.OK + + async def details(self) -> str: + return "" + + async def debug_error_string(self) -> Optional[str]: + return None + + def __await__(self): + if False: # pylint: disable=using-constant-test + # This code path is never used, but a yield statement is needed + # for telling the interpreter that __await__ is a generator. + yield None + return self._response + + async def wait_for_connection(self) -> None: + pass + + +class _StreamCallResponseIterator: + _call: Union[_base_call.UnaryStreamCall, _base_call.StreamStreamCall] + _response_iterator: AsyncIterable[ResponseType] + + def __init__( + self, + call: Union[_base_call.UnaryStreamCall, _base_call.StreamStreamCall], + response_iterator: AsyncIterable[ResponseType], + ) -> None: + self._response_iterator = response_iterator + self._call = call + + def cancel(self) -> bool: + return self._call.cancel() + + def cancelled(self) -> bool: + return self._call.cancelled() + + def done(self) -> bool: + return self._call.done() + + def add_done_callback(self, callback) -> None: + self._call.add_done_callback(callback) + + def time_remaining(self) -> Optional[float]: + return self._call.time_remaining() + + async def initial_metadata(self) -> Optional[Metadata]: + return await self._call.initial_metadata() + + async def trailing_metadata(self) -> Optional[Metadata]: + return await self._call.trailing_metadata() + + async def code(self) -> grpc.StatusCode: + return await self._call.code() + + async def details(self) -> str: + return await self._call.details() + + async def debug_error_string(self) -> Optional[str]: + return await self._call.debug_error_string() + + def __aiter__(self): + return self._response_iterator.__aiter__() + + async def wait_for_connection(self) -> None: + return await self._call.wait_for_connection() + + +class UnaryStreamCallResponseIterator( + _StreamCallResponseIterator, _base_call.UnaryStreamCall +): + """UnaryStreamCall class which uses an alternative response iterator.""" + + async def read(self) -> Union[EOFType, ResponseType]: + # Behind the scenes everything goes through the + # async iterator. So this path should not be reached. + raise NotImplementedError() + + +class StreamStreamCallResponseIterator( + _StreamCallResponseIterator, _base_call.StreamStreamCall +): + """StreamStreamCall class which uses an alternative response iterator.""" + + async def read(self) -> Union[EOFType, ResponseType]: + # Behind the scenes everything goes through the + # async iterator. So this path should not be reached. + raise NotImplementedError() + + async def write(self, request: RequestType) -> None: + # Behind the scenes everything goes through the + # async iterator provided by the InterceptedStreamStreamCall. + # So this path should not be reached. + raise NotImplementedError() + + async def done_writing(self) -> None: + # Behind the scenes everything goes through the + # async iterator provided by the InterceptedStreamStreamCall. + # So this path should not be reached. + raise NotImplementedError() + + @property + def _done_writing_flag(self) -> bool: + return self._call._done_writing_flag diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_metadata.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_metadata.py new file mode 100644 index 0000000000000000000000000000000000000000..6303c175297c158bf4bfe88651b9907b0a21ac6b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_metadata.py @@ -0,0 +1,137 @@ +# Copyright 2020 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Implementation of the metadata abstraction for gRPC Asyncio Python.""" +from collections import OrderedDict +from collections import abc +from typing import Any, Iterator, List, Optional, Tuple, Union + +MetadataKey = str +MetadataValue = Union[str, bytes] + + +class Metadata(abc.Collection): + """Metadata abstraction for the asynchronous calls and interceptors. + + The metadata is a mapping from str -> List[str] + + Traits + * Multiple entries are allowed for the same key + * The order of the values by key is preserved + * Getting by an element by key, retrieves the first mapped value + * Supports an immutable view of the data + * Allows partial mutation on the data without recreating the new object from scratch. + """ + + def __init__(self, *args: Tuple[MetadataKey, MetadataValue]) -> None: + self._metadata = OrderedDict() + for md_key, md_value in args: + self.add(md_key, md_value) + + @classmethod + def from_tuple(cls, raw_metadata: tuple): + if raw_metadata: + return cls(*raw_metadata) + return cls() + + def add(self, key: MetadataKey, value: MetadataValue) -> None: + self._metadata.setdefault(key, []) + self._metadata[key].append(value) + + def __len__(self) -> int: + """Return the total number of elements that there are in the metadata, + including multiple values for the same key. + """ + return sum(map(len, self._metadata.values())) + + def __getitem__(self, key: MetadataKey) -> MetadataValue: + """When calling [], the first element of all those + mapped for is returned. + """ + try: + return self._metadata[key][0] + except (ValueError, IndexError) as e: + raise KeyError("{0!r}".format(key)) from e + + def __setitem__(self, key: MetadataKey, value: MetadataValue) -> None: + """Calling metadata[] = + Maps to the first instance of . + """ + if key not in self: + self._metadata[key] = [value] + else: + current_values = self.get_all(key) + self._metadata[key] = [value, *current_values[1:]] + + def __delitem__(self, key: MetadataKey) -> None: + """``del metadata[]`` deletes the first mapping for .""" + current_values = self.get_all(key) + if not current_values: + raise KeyError(repr(key)) + self._metadata[key] = current_values[1:] + + def delete_all(self, key: MetadataKey) -> None: + """Delete all mappings for .""" + del self._metadata[key] + + def __iter__(self) -> Iterator[Tuple[MetadataKey, MetadataValue]]: + for key, values in self._metadata.items(): + for value in values: + yield (key, value) + + def keys(self) -> abc.KeysView: + return abc.KeysView(self) + + def values(self) -> abc.ValuesView: + return abc.ValuesView(self) + + def items(self) -> abc.ItemsView: + return abc.ItemsView(self) + + def get( + self, key: MetadataKey, default: MetadataValue = None + ) -> Optional[MetadataValue]: + try: + return self[key] + except KeyError: + return default + + def get_all(self, key: MetadataKey) -> List[MetadataValue]: + """For compatibility with other Metadata abstraction objects (like in Java), + this would return all items under the desired . + """ + return self._metadata.get(key, []) + + def set_all(self, key: MetadataKey, values: List[MetadataValue]) -> None: + self._metadata[key] = values + + def __contains__(self, key: MetadataKey) -> bool: + return key in self._metadata + + def __eq__(self, other: Any) -> bool: + if isinstance(other, self.__class__): + return self._metadata == other._metadata + if isinstance(other, tuple): + return tuple(self) == other + return NotImplemented # pytype: disable=bad-return-type + + def __add__(self, other: Any) -> "Metadata": + if isinstance(other, self.__class__): + return Metadata(*(tuple(self) + tuple(other))) + if isinstance(other, tuple): + return Metadata(*(tuple(self) + other)) + return NotImplemented # pytype: disable=bad-return-type + + def __repr__(self) -> str: + view = tuple(self) + return "{0}({1!r})".format(self.__class__.__name__, view) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_server.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_server.py new file mode 100644 index 0000000000000000000000000000000000000000..0eee6b1470e6a2975a46c386027d9d5a76fb1946 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_server.py @@ -0,0 +1,239 @@ +# Copyright 2019 The gRPC Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Server-side implementation of gRPC Asyncio Python.""" + +from concurrent.futures import Executor +from typing import Any, Dict, Optional, Sequence + +import grpc +from grpc import _common +from grpc import _compression +from grpc._cython import cygrpc + +from . import _base_server +from ._interceptor import ServerInterceptor +from ._typing import ChannelArgumentType + + +def _augment_channel_arguments( + base_options: ChannelArgumentType, compression: Optional[grpc.Compression] +): + compression_option = _compression.create_channel_option(compression) + return tuple(base_options) + compression_option + + +class Server(_base_server.Server): + """Serves RPCs.""" + + def __init__( + self, + thread_pool: Optional[Executor], + generic_handlers: Optional[Sequence[grpc.GenericRpcHandler]], + interceptors: Optional[Sequence[Any]], + options: ChannelArgumentType, + maximum_concurrent_rpcs: Optional[int], + compression: Optional[grpc.Compression], + ): + self._loop = cygrpc.get_working_loop() + if interceptors: + invalid_interceptors = [ + interceptor + for interceptor in interceptors + if not isinstance(interceptor, ServerInterceptor) + ] + if invalid_interceptors: + raise ValueError( + "Interceptor must be ServerInterceptor, the " + f"following are invalid: {invalid_interceptors}" + ) + self._server = cygrpc.AioServer( + self._loop, + thread_pool, + generic_handlers, + interceptors, + _augment_channel_arguments(options, compression), + maximum_concurrent_rpcs, + ) + + def add_generic_rpc_handlers( + self, generic_rpc_handlers: Sequence[grpc.GenericRpcHandler] + ) -> None: + """Registers GenericRpcHandlers with this Server. + + This method is only safe to call before the server is started. + + Args: + generic_rpc_handlers: A sequence of GenericRpcHandlers that will be + used to service RPCs. + """ + self._server.add_generic_rpc_handlers(generic_rpc_handlers) + + def add_registered_method_handlers( + self, + service_name: str, + method_handlers: Dict[str, grpc.RpcMethodHandler], + ) -> None: + # TODO(xuanwn): Implement this for AsyncIO. + pass + + def add_insecure_port(self, address: str) -> int: + """Opens an insecure port for accepting RPCs. + + This method may only be called before starting the server. + + Args: + address: The address for which to open a port. If the port is 0, + or not specified in the address, then the gRPC runtime will choose a port. + + Returns: + An integer port on which the server will accept RPC requests. + """ + return _common.validate_port_binding_result( + address, self._server.add_insecure_port(_common.encode(address)) + ) + + def add_secure_port( + self, address: str, server_credentials: grpc.ServerCredentials + ) -> int: + """Opens a secure port for accepting RPCs. + + This method may only be called before starting the server. + + Args: + address: The address for which to open a port. + if the port is 0, or not specified in the address, then the gRPC + runtime will choose a port. + server_credentials: A ServerCredentials object. + + Returns: + An integer port on which the server will accept RPC requests. + """ + return _common.validate_port_binding_result( + address, + self._server.add_secure_port( + _common.encode(address), server_credentials + ), + ) + + async def start(self) -> None: + """Starts this Server. + + This method may only be called once. (i.e. it is not idempotent). + """ + await self._server.start() + + async def stop(self, grace: Optional[float]) -> None: + """Stops this Server. + + This method immediately stops the server from servicing new RPCs in + all cases. + + If a grace period is specified, this method waits until all active + RPCs are finished or until the grace period is reached. RPCs that haven't + been terminated within the grace period are aborted. + If a grace period is not specified (by passing None for grace), all + existing RPCs are aborted immediately and this method blocks until + the last RPC handler terminates. + + This method is idempotent and may be called at any time. Passing a + smaller grace value in a subsequent call will have the effect of + stopping the Server sooner (passing None will have the effect of + stopping the server immediately). Passing a larger grace value in a + subsequent call will not have the effect of stopping the server later + (i.e. the most restrictive grace value is used). + + Args: + grace: A duration of time in seconds or None. + """ + await self._server.shutdown(grace) + + async def wait_for_termination( + self, timeout: Optional[float] = None + ) -> bool: + """Block current coroutine until the server stops. + + This is an EXPERIMENTAL API. + + The wait will not consume computational resources during blocking, and + it will block until one of the two following conditions are met: + + 1) The server is stopped or terminated; + 2) A timeout occurs if timeout is not `None`. + + The timeout argument works in the same way as `threading.Event.wait()`. + https://docs.python.org/3/library/threading.html#threading.Event.wait + + Args: + timeout: A floating point number specifying a timeout for the + operation in seconds. + + Returns: + A bool indicates if the operation times out. + """ + return await self._server.wait_for_termination(timeout) + + def __del__(self): + """Schedules a graceful shutdown in current event loop. + + The Cython AioServer doesn't hold a ref-count to this class. It should + be safe to slightly extend the underlying Cython object's life span. + """ + if hasattr(self, "_server"): + if self._server.is_running(): + cygrpc.schedule_coro_threadsafe( + self._server.shutdown(None), + self._loop, + ) + + +def server( + migration_thread_pool: Optional[Executor] = None, + handlers: Optional[Sequence[grpc.GenericRpcHandler]] = None, + interceptors: Optional[Sequence[Any]] = None, + options: Optional[ChannelArgumentType] = None, + maximum_concurrent_rpcs: Optional[int] = None, + compression: Optional[grpc.Compression] = None, +): + """Creates a Server with which RPCs can be serviced. + + Args: + migration_thread_pool: A futures.ThreadPoolExecutor to be used by the + Server to execute non-AsyncIO RPC handlers for migration purpose. + handlers: An optional list of GenericRpcHandlers used for executing RPCs. + More handlers may be added by calling add_generic_rpc_handlers any time + before the server is started. + interceptors: An optional list of ServerInterceptor objects that observe + and optionally manipulate the incoming RPCs before handing them over to + handlers. The interceptors are given control in the order they are + specified. This is an EXPERIMENTAL API. + options: An optional list of key-value pairs (:term:`channel_arguments` in gRPC runtime) + to configure the channel. + maximum_concurrent_rpcs: The maximum number of concurrent RPCs this server + will service before returning RESOURCE_EXHAUSTED status, or None to + indicate no limit. + compression: An element of grpc.compression, e.g. + grpc.compression.Gzip. This compression algorithm will be used for the + lifetime of the server unless overridden by set_compression. + + Returns: + A Server object. + """ + return Server( + migration_thread_pool, + () if handlers is None else handlers, + () if interceptors is None else interceptors, + () if options is None else options, + maximum_concurrent_rpcs, + compression, + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_typing.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_typing.py new file mode 100644 index 0000000000000000000000000000000000000000..0bc32b22e6fe89a8183df9eeeb3f775a61ebadc4 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_typing.py @@ -0,0 +1,43 @@ +# Copyright 2019 The gRPC Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Common types for gRPC Async API""" + +from typing import ( + Any, + AsyncIterable, + Callable, + Iterable, + Sequence, + Tuple, + TypeVar, + Union, +) + +from grpc._cython.cygrpc import EOF + +from ._metadata import Metadata +from ._metadata import MetadataKey +from ._metadata import MetadataValue + +RequestType = TypeVar("RequestType") +ResponseType = TypeVar("ResponseType") +SerializingFunction = Callable[[Any], bytes] +DeserializingFunction = Callable[[bytes], Any] +MetadatumType = Tuple[MetadataKey, MetadataValue] +MetadataType = Union[Metadata, Sequence[MetadatumType]] +ChannelArgumentType = Sequence[Tuple[str, Any]] +EOFType = type(EOF) +DoneCallbackType = Callable[[Any], None] +RequestIterableType = Union[Iterable[Any], AsyncIterable[Any]] +ResponseIterableType = AsyncIterable[Any] diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_utils.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..e5772dce2da1d35f5b76bce36fc3612fd97151b4 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/aio/_utils.py @@ -0,0 +1,22 @@ +# Copyright 2019 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Internal utilities used by the gRPC Aio module.""" +import time +from typing import Optional + + +def _timeout_to_deadline(timeout: Optional[float]) -> Optional[float]: + if timeout is None: + return None + return time.time() + timeout diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5fb4f3c3cfd5622f4067f3dd22eb49318855325a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/__pycache__/__init__.cpython-312.pyc new file 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a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/_client_adaptations.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/_client_adaptations.py new file mode 100644 index 0000000000000000000000000000000000000000..012149212a23817e824df9453950a1721f41ed7b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/_client_adaptations.py @@ -0,0 +1,1015 @@ +# Copyright 2016 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Translates gRPC's client-side API into gRPC's client-side Beta API.""" + +import grpc +from grpc import _common +from grpc.beta import _metadata +from grpc.beta import interfaces +from grpc.framework.common import cardinality +from grpc.framework.foundation import future +from grpc.framework.interfaces.face import face + +# pylint: disable=too-many-arguments,too-many-locals,unused-argument + +_STATUS_CODE_TO_ABORTION_KIND_AND_ABORTION_ERROR_CLASS = { + grpc.StatusCode.CANCELLED: ( + face.Abortion.Kind.CANCELLED, + face.CancellationError, + ), + grpc.StatusCode.UNKNOWN: ( + face.Abortion.Kind.REMOTE_FAILURE, + face.RemoteError, + ), + grpc.StatusCode.DEADLINE_EXCEEDED: ( + face.Abortion.Kind.EXPIRED, + face.ExpirationError, + ), + grpc.StatusCode.UNIMPLEMENTED: ( + face.Abortion.Kind.LOCAL_FAILURE, + face.LocalError, + ), +} + + +def _effective_metadata(metadata, metadata_transformer): + non_none_metadata = () if metadata is None else metadata + if metadata_transformer is None: + return non_none_metadata + else: + return metadata_transformer(non_none_metadata) + + +def _credentials(grpc_call_options): + return None if grpc_call_options is None else grpc_call_options.credentials + + +def _abortion(rpc_error_call): + code = rpc_error_call.code() + pair = _STATUS_CODE_TO_ABORTION_KIND_AND_ABORTION_ERROR_CLASS.get(code) + error_kind = face.Abortion.Kind.LOCAL_FAILURE if pair is None else pair[0] + return face.Abortion( + error_kind, + rpc_error_call.initial_metadata(), + rpc_error_call.trailing_metadata(), + code, + rpc_error_call.details(), + ) + + +def _abortion_error(rpc_error_call): + code = rpc_error_call.code() + pair = _STATUS_CODE_TO_ABORTION_KIND_AND_ABORTION_ERROR_CLASS.get(code) + exception_class = face.AbortionError if pair is None else pair[1] + return exception_class( + rpc_error_call.initial_metadata(), + rpc_error_call.trailing_metadata(), + code, + rpc_error_call.details(), + ) + + +class _InvocationProtocolContext(interfaces.GRPCInvocationContext): + def disable_next_request_compression(self): + pass # TODO(https://github.com/grpc/grpc/issues/4078): design, implement. + + +class _Rendezvous(future.Future, face.Call): + def __init__(self, response_future, response_iterator, call): + self._future = response_future + self._iterator = response_iterator + self._call = call + + def cancel(self): + return self._call.cancel() + + def cancelled(self): + return self._future.cancelled() + + def running(self): + return self._future.running() + + def done(self): + return self._future.done() + + def result(self, timeout=None): + try: + return self._future.result(timeout=timeout) + except grpc.RpcError as rpc_error_call: + raise _abortion_error(rpc_error_call) + except grpc.FutureTimeoutError: + raise future.TimeoutError() + except grpc.FutureCancelledError: + raise future.CancelledError() + + def exception(self, timeout=None): + try: + rpc_error_call = self._future.exception(timeout=timeout) + if rpc_error_call is None: + return None + else: + return _abortion_error(rpc_error_call) + except grpc.FutureTimeoutError: + raise future.TimeoutError() + except grpc.FutureCancelledError: + raise future.CancelledError() + + def traceback(self, timeout=None): + try: + return self._future.traceback(timeout=timeout) + except grpc.FutureTimeoutError: + raise future.TimeoutError() + except grpc.FutureCancelledError: + raise future.CancelledError() + + def add_done_callback(self, fn): + self._future.add_done_callback(lambda ignored_callback: fn(self)) + + def __iter__(self): + return self + + def _next(self): + try: + return next(self._iterator) + except grpc.RpcError as rpc_error_call: + raise _abortion_error(rpc_error_call) + + def __next__(self): + return self._next() + + def next(self): + return self._next() + + def is_active(self): + return self._call.is_active() + + def time_remaining(self): + return self._call.time_remaining() + + def add_abortion_callback(self, abortion_callback): + def done_callback(): + if self.code() is not grpc.StatusCode.OK: + abortion_callback(_abortion(self._call)) + + registered = self._call.add_callback(done_callback) + return None if registered else done_callback() + + def protocol_context(self): + return _InvocationProtocolContext() + + def initial_metadata(self): + return _metadata.beta(self._call.initial_metadata()) + + def terminal_metadata(self): + return _metadata.beta(self._call.terminal_metadata()) + + def code(self): + return self._call.code() + + def details(self): + return self._call.details() + + +def _blocking_unary_unary( + channel, + group, + method, + timeout, + with_call, + protocol_options, + metadata, + metadata_transformer, + request, + request_serializer, + response_deserializer, +): + try: + multi_callable = channel.unary_unary( + _common.fully_qualified_method(group, method), + request_serializer=request_serializer, + response_deserializer=response_deserializer, + ) + effective_metadata = _effective_metadata(metadata, metadata_transformer) + if with_call: + response, call = multi_callable.with_call( + request, + timeout=timeout, + metadata=_metadata.unbeta(effective_metadata), + credentials=_credentials(protocol_options), + ) + return response, _Rendezvous(None, None, call) + else: + return multi_callable( + request, + timeout=timeout, + metadata=_metadata.unbeta(effective_metadata), + credentials=_credentials(protocol_options), + ) + except grpc.RpcError as rpc_error_call: + raise _abortion_error(rpc_error_call) + + +def _future_unary_unary( + channel, + group, + method, + timeout, + protocol_options, + metadata, + metadata_transformer, + request, + request_serializer, + response_deserializer, +): + multi_callable = channel.unary_unary( + _common.fully_qualified_method(group, method), + request_serializer=request_serializer, + response_deserializer=response_deserializer, + ) + effective_metadata = _effective_metadata(metadata, metadata_transformer) + response_future = multi_callable.future( + request, + timeout=timeout, + metadata=_metadata.unbeta(effective_metadata), + credentials=_credentials(protocol_options), + ) + return _Rendezvous(response_future, None, response_future) + + +def _unary_stream( + channel, + group, + method, + timeout, + protocol_options, + metadata, + metadata_transformer, + request, + request_serializer, + response_deserializer, +): + multi_callable = channel.unary_stream( + _common.fully_qualified_method(group, method), + request_serializer=request_serializer, + response_deserializer=response_deserializer, + ) + effective_metadata = _effective_metadata(metadata, metadata_transformer) + response_iterator = multi_callable( + request, + timeout=timeout, + metadata=_metadata.unbeta(effective_metadata), + credentials=_credentials(protocol_options), + ) + return _Rendezvous(None, response_iterator, response_iterator) + + +def _blocking_stream_unary( + channel, + group, + method, + timeout, + with_call, + protocol_options, + metadata, + metadata_transformer, + request_iterator, + request_serializer, + response_deserializer, +): + try: + multi_callable = channel.stream_unary( + _common.fully_qualified_method(group, method), + request_serializer=request_serializer, + response_deserializer=response_deserializer, + ) + effective_metadata = _effective_metadata(metadata, metadata_transformer) + if with_call: + response, call = multi_callable.with_call( + request_iterator, + timeout=timeout, + metadata=_metadata.unbeta(effective_metadata), + credentials=_credentials(protocol_options), + ) + return response, _Rendezvous(None, None, call) + else: + return multi_callable( + request_iterator, + timeout=timeout, + metadata=_metadata.unbeta(effective_metadata), + credentials=_credentials(protocol_options), + ) + except grpc.RpcError as rpc_error_call: + raise _abortion_error(rpc_error_call) + + +def _future_stream_unary( + channel, + group, + method, + timeout, + protocol_options, + metadata, + metadata_transformer, + request_iterator, + request_serializer, + response_deserializer, +): + multi_callable = channel.stream_unary( + _common.fully_qualified_method(group, method), + request_serializer=request_serializer, + response_deserializer=response_deserializer, + ) + effective_metadata = _effective_metadata(metadata, metadata_transformer) + response_future = multi_callable.future( + request_iterator, + timeout=timeout, + metadata=_metadata.unbeta(effective_metadata), + credentials=_credentials(protocol_options), + ) + return _Rendezvous(response_future, None, response_future) + + +def _stream_stream( + channel, + group, + method, + timeout, + protocol_options, + metadata, + metadata_transformer, + request_iterator, + request_serializer, + response_deserializer, +): + multi_callable = channel.stream_stream( + _common.fully_qualified_method(group, method), + request_serializer=request_serializer, + response_deserializer=response_deserializer, + ) + effective_metadata = _effective_metadata(metadata, metadata_transformer) + response_iterator = multi_callable( + request_iterator, + timeout=timeout, + metadata=_metadata.unbeta(effective_metadata), + credentials=_credentials(protocol_options), + ) + return _Rendezvous(None, response_iterator, response_iterator) + + +class _UnaryUnaryMultiCallable(face.UnaryUnaryMultiCallable): + def __init__( + self, + channel, + group, + method, + metadata_transformer, + request_serializer, + response_deserializer, + ): + self._channel = channel + self._group = group + self._method = method + self._metadata_transformer = metadata_transformer + self._request_serializer = request_serializer + self._response_deserializer = response_deserializer + + def __call__( + self, + request, + timeout, + metadata=None, + with_call=False, + protocol_options=None, + ): + return _blocking_unary_unary( + self._channel, + self._group, + self._method, + timeout, + with_call, + protocol_options, + metadata, + self._metadata_transformer, + request, + self._request_serializer, + self._response_deserializer, + ) + + def future(self, request, timeout, metadata=None, protocol_options=None): + return _future_unary_unary( + self._channel, + self._group, + self._method, + timeout, + protocol_options, + metadata, + self._metadata_transformer, + request, + self._request_serializer, + self._response_deserializer, + ) + + def event( + self, + request, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + raise NotImplementedError() + + +class _UnaryStreamMultiCallable(face.UnaryStreamMultiCallable): + def __init__( + self, + channel, + group, + method, + metadata_transformer, + request_serializer, + response_deserializer, + ): + self._channel = channel + self._group = group + self._method = method + self._metadata_transformer = metadata_transformer + self._request_serializer = request_serializer + self._response_deserializer = response_deserializer + + def __call__(self, request, timeout, metadata=None, protocol_options=None): + return _unary_stream( + self._channel, + self._group, + self._method, + timeout, + protocol_options, + metadata, + self._metadata_transformer, + request, + self._request_serializer, + self._response_deserializer, + ) + + def event( + self, + request, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + raise NotImplementedError() + + +class _StreamUnaryMultiCallable(face.StreamUnaryMultiCallable): + def __init__( + self, + channel, + group, + method, + metadata_transformer, + request_serializer, + response_deserializer, + ): + self._channel = channel + self._group = group + self._method = method + self._metadata_transformer = metadata_transformer + self._request_serializer = request_serializer + self._response_deserializer = response_deserializer + + def __call__( + self, + request_iterator, + timeout, + metadata=None, + with_call=False, + protocol_options=None, + ): + return _blocking_stream_unary( + self._channel, + self._group, + self._method, + timeout, + with_call, + protocol_options, + metadata, + self._metadata_transformer, + request_iterator, + self._request_serializer, + self._response_deserializer, + ) + + def future( + self, request_iterator, timeout, metadata=None, protocol_options=None + ): + return _future_stream_unary( + self._channel, + self._group, + self._method, + timeout, + protocol_options, + metadata, + self._metadata_transformer, + request_iterator, + self._request_serializer, + self._response_deserializer, + ) + + def event( + self, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + raise NotImplementedError() + + +class _StreamStreamMultiCallable(face.StreamStreamMultiCallable): + def __init__( + self, + channel, + group, + method, + metadata_transformer, + request_serializer, + response_deserializer, + ): + self._channel = channel + self._group = group + self._method = method + self._metadata_transformer = metadata_transformer + self._request_serializer = request_serializer + self._response_deserializer = response_deserializer + + def __call__( + self, request_iterator, timeout, metadata=None, protocol_options=None + ): + return _stream_stream( + self._channel, + self._group, + self._method, + timeout, + protocol_options, + metadata, + self._metadata_transformer, + request_iterator, + self._request_serializer, + self._response_deserializer, + ) + + def event( + self, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + raise NotImplementedError() + + +class _GenericStub(face.GenericStub): + def __init__( + self, + channel, + metadata_transformer, + request_serializers, + response_deserializers, + ): + self._channel = channel + self._metadata_transformer = metadata_transformer + self._request_serializers = request_serializers or {} + self._response_deserializers = response_deserializers or {} + + def blocking_unary_unary( + self, + group, + method, + request, + timeout, + metadata=None, + with_call=None, + protocol_options=None, + ): + request_serializer = self._request_serializers.get( + ( + group, + method, + ) + ) + response_deserializer = self._response_deserializers.get( + ( + group, + method, + ) + ) + return _blocking_unary_unary( + self._channel, + group, + method, + timeout, + with_call, + protocol_options, + metadata, + self._metadata_transformer, + request, + request_serializer, + response_deserializer, + ) + + def future_unary_unary( + self, + group, + method, + request, + timeout, + metadata=None, + protocol_options=None, + ): + request_serializer = self._request_serializers.get( + ( + group, + method, + ) + ) + response_deserializer = self._response_deserializers.get( + ( + group, + method, + ) + ) + return _future_unary_unary( + self._channel, + group, + method, + timeout, + protocol_options, + metadata, + self._metadata_transformer, + request, + request_serializer, + response_deserializer, + ) + + def inline_unary_stream( + self, + group, + method, + request, + timeout, + metadata=None, + protocol_options=None, + ): + request_serializer = self._request_serializers.get( + ( + group, + method, + ) + ) + response_deserializer = self._response_deserializers.get( + ( + group, + method, + ) + ) + return _unary_stream( + self._channel, + group, + method, + timeout, + protocol_options, + metadata, + self._metadata_transformer, + request, + request_serializer, + response_deserializer, + ) + + def blocking_stream_unary( + self, + group, + method, + request_iterator, + timeout, + metadata=None, + with_call=None, + protocol_options=None, + ): + request_serializer = self._request_serializers.get( + ( + group, + method, + ) + ) + response_deserializer = self._response_deserializers.get( + ( + group, + method, + ) + ) + return _blocking_stream_unary( + self._channel, + group, + method, + timeout, + with_call, + protocol_options, + metadata, + self._metadata_transformer, + request_iterator, + request_serializer, + response_deserializer, + ) + + def future_stream_unary( + self, + group, + method, + request_iterator, + timeout, + metadata=None, + protocol_options=None, + ): + request_serializer = self._request_serializers.get( + ( + group, + method, + ) + ) + response_deserializer = self._response_deserializers.get( + ( + group, + method, + ) + ) + return _future_stream_unary( + self._channel, + group, + method, + timeout, + protocol_options, + metadata, + self._metadata_transformer, + request_iterator, + request_serializer, + response_deserializer, + ) + + def inline_stream_stream( + self, + group, + method, + request_iterator, + timeout, + metadata=None, + protocol_options=None, + ): + request_serializer = self._request_serializers.get( + ( + group, + method, + ) + ) + response_deserializer = self._response_deserializers.get( + ( + group, + method, + ) + ) + return _stream_stream( + self._channel, + group, + method, + timeout, + protocol_options, + metadata, + self._metadata_transformer, + request_iterator, + request_serializer, + response_deserializer, + ) + + def event_unary_unary( + self, + group, + method, + request, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + raise NotImplementedError() + + def event_unary_stream( + self, + group, + method, + request, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + raise NotImplementedError() + + def event_stream_unary( + self, + group, + method, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + raise NotImplementedError() + + def event_stream_stream( + self, + group, + method, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + raise NotImplementedError() + + def unary_unary(self, group, method): + request_serializer = self._request_serializers.get( + ( + group, + method, + ) + ) + response_deserializer = self._response_deserializers.get( + ( + group, + method, + ) + ) + return _UnaryUnaryMultiCallable( + self._channel, + group, + method, + self._metadata_transformer, + request_serializer, + response_deserializer, + ) + + def unary_stream(self, group, method): + request_serializer = self._request_serializers.get( + ( + group, + method, + ) + ) + response_deserializer = self._response_deserializers.get( + ( + group, + method, + ) + ) + return _UnaryStreamMultiCallable( + self._channel, + group, + method, + self._metadata_transformer, + request_serializer, + response_deserializer, + ) + + def stream_unary(self, group, method): + request_serializer = self._request_serializers.get( + ( + group, + method, + ) + ) + response_deserializer = self._response_deserializers.get( + ( + group, + method, + ) + ) + return _StreamUnaryMultiCallable( + self._channel, + group, + method, + self._metadata_transformer, + request_serializer, + response_deserializer, + ) + + def stream_stream(self, group, method): + request_serializer = self._request_serializers.get( + ( + group, + method, + ) + ) + response_deserializer = self._response_deserializers.get( + ( + group, + method, + ) + ) + return _StreamStreamMultiCallable( + self._channel, + group, + method, + self._metadata_transformer, + request_serializer, + response_deserializer, + ) + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_val, exc_tb): + return False + + +class _DynamicStub(face.DynamicStub): + def __init__(self, backing_generic_stub, group, cardinalities): + self._generic_stub = backing_generic_stub + self._group = group + self._cardinalities = cardinalities + + def __getattr__(self, attr): + method_cardinality = self._cardinalities.get(attr) + if method_cardinality is cardinality.Cardinality.UNARY_UNARY: + return self._generic_stub.unary_unary(self._group, attr) + elif method_cardinality is cardinality.Cardinality.UNARY_STREAM: + return self._generic_stub.unary_stream(self._group, attr) + elif method_cardinality is cardinality.Cardinality.STREAM_UNARY: + return self._generic_stub.stream_unary(self._group, attr) + elif method_cardinality is cardinality.Cardinality.STREAM_STREAM: + return self._generic_stub.stream_stream(self._group, attr) + else: + raise AttributeError( + '_DynamicStub object has no attribute "%s"!' % attr + ) + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_val, exc_tb): + return False + + +def generic_stub( + channel, + host, + metadata_transformer, + request_serializers, + response_deserializers, +): + return _GenericStub( + channel, + metadata_transformer, + request_serializers, + response_deserializers, + ) + + +def dynamic_stub( + channel, + service, + cardinalities, + host, + metadata_transformer, + request_serializers, + response_deserializers, +): + return _DynamicStub( + _GenericStub( + channel, + metadata_transformer, + request_serializers, + response_deserializers, + ), + service, + cardinalities, + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/_metadata.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/_metadata.py new file mode 100644 index 0000000000000000000000000000000000000000..301010878d67f4a87cc09e051a70e058dd4f34e4 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/_metadata.py @@ -0,0 +1,56 @@ +# Copyright 2017 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""API metadata conversion utilities.""" + +import collections + +_Metadatum = collections.namedtuple( + "_Metadatum", + ( + "key", + "value", + ), +) + + +def _beta_metadatum(key, value): + beta_key = key if isinstance(key, (bytes,)) else key.encode("ascii") + beta_value = value if isinstance(value, (bytes,)) else value.encode("ascii") + return _Metadatum(beta_key, beta_value) + + +def _metadatum(beta_key, beta_value): + key = beta_key if isinstance(beta_key, (str,)) else beta_key.decode("utf8") + if isinstance(beta_value, (str,)) or key[-4:] == "-bin": + value = beta_value + else: + value = beta_value.decode("utf8") + return _Metadatum(key, value) + + +def beta(metadata): + if metadata is None: + return () + else: + return tuple(_beta_metadatum(key, value) for key, value in metadata) + + +def unbeta(beta_metadata): + if beta_metadata is None: + return () + else: + return tuple( + _metadatum(beta_key, beta_value) + for beta_key, beta_value in beta_metadata + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/_server_adaptations.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/_server_adaptations.py new file mode 100644 index 0000000000000000000000000000000000000000..a6f730bb29bf6d18efd446cb8e6a453015c00e67 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/_server_adaptations.py @@ -0,0 +1,465 @@ +# Copyright 2016 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Translates gRPC's server-side API into gRPC's server-side Beta API.""" + +import collections +import threading + +import grpc +from grpc import _common +from grpc.beta import _metadata +from grpc.beta import interfaces +from grpc.framework.common import cardinality +from grpc.framework.common import style +from grpc.framework.foundation import abandonment +from grpc.framework.foundation import logging_pool +from grpc.framework.foundation import stream +from grpc.framework.interfaces.face import face + +# pylint: disable=too-many-return-statements + +_DEFAULT_POOL_SIZE = 8 + + +class _ServerProtocolContext(interfaces.GRPCServicerContext): + def __init__(self, servicer_context): + self._servicer_context = servicer_context + + def peer(self): + return self._servicer_context.peer() + + def disable_next_response_compression(self): + pass # TODO(https://github.com/grpc/grpc/issues/4078): design, implement. + + +class _FaceServicerContext(face.ServicerContext): + def __init__(self, servicer_context): + self._servicer_context = servicer_context + + def is_active(self): + return self._servicer_context.is_active() + + def time_remaining(self): + return self._servicer_context.time_remaining() + + def add_abortion_callback(self, abortion_callback): + raise NotImplementedError( + "add_abortion_callback no longer supported server-side!" + ) + + def cancel(self): + self._servicer_context.cancel() + + def protocol_context(self): + return _ServerProtocolContext(self._servicer_context) + + def invocation_metadata(self): + return _metadata.beta(self._servicer_context.invocation_metadata()) + + def initial_metadata(self, initial_metadata): + self._servicer_context.send_initial_metadata( + _metadata.unbeta(initial_metadata) + ) + + def terminal_metadata(self, terminal_metadata): + self._servicer_context.set_terminal_metadata( + _metadata.unbeta(terminal_metadata) + ) + + def code(self, code): + self._servicer_context.set_code(code) + + def details(self, details): + self._servicer_context.set_details(details) + + +def _adapt_unary_request_inline(unary_request_inline): + def adaptation(request, servicer_context): + return unary_request_inline( + request, _FaceServicerContext(servicer_context) + ) + + return adaptation + + +def _adapt_stream_request_inline(stream_request_inline): + def adaptation(request_iterator, servicer_context): + return stream_request_inline( + request_iterator, _FaceServicerContext(servicer_context) + ) + + return adaptation + + +class _Callback(stream.Consumer): + def __init__(self): + self._condition = threading.Condition() + self._values = [] + self._terminated = False + self._cancelled = False + + def consume(self, value): + with self._condition: + self._values.append(value) + self._condition.notify_all() + + def terminate(self): + with self._condition: + self._terminated = True + self._condition.notify_all() + + def consume_and_terminate(self, value): + with self._condition: + self._values.append(value) + self._terminated = True + self._condition.notify_all() + + def cancel(self): + with self._condition: + self._cancelled = True + self._condition.notify_all() + + def draw_one_value(self): + with self._condition: + while True: + if self._cancelled: + raise abandonment.Abandoned() + elif self._values: + return self._values.pop(0) + elif self._terminated: + return None + else: + self._condition.wait() + + def draw_all_values(self): + with self._condition: + while True: + if self._cancelled: + raise abandonment.Abandoned() + elif self._terminated: + all_values = tuple(self._values) + self._values = None + return all_values + else: + self._condition.wait() + + +def _run_request_pipe_thread( + request_iterator, request_consumer, servicer_context +): + thread_joined = threading.Event() + + def pipe_requests(): + for request in request_iterator: + if not servicer_context.is_active() or thread_joined.is_set(): + return + request_consumer.consume(request) + if not servicer_context.is_active() or thread_joined.is_set(): + return + request_consumer.terminate() + + request_pipe_thread = threading.Thread(target=pipe_requests) + request_pipe_thread.daemon = True + request_pipe_thread.start() + + +def _adapt_unary_unary_event(unary_unary_event): + def adaptation(request, servicer_context): + callback = _Callback() + if not servicer_context.add_callback(callback.cancel): + raise abandonment.Abandoned() + unary_unary_event( + request, + callback.consume_and_terminate, + _FaceServicerContext(servicer_context), + ) + return callback.draw_all_values()[0] + + return adaptation + + +def _adapt_unary_stream_event(unary_stream_event): + def adaptation(request, servicer_context): + callback = _Callback() + if not servicer_context.add_callback(callback.cancel): + raise abandonment.Abandoned() + unary_stream_event( + request, callback, _FaceServicerContext(servicer_context) + ) + while True: + response = callback.draw_one_value() + if response is None: + return + else: + yield response + + return adaptation + + +def _adapt_stream_unary_event(stream_unary_event): + def adaptation(request_iterator, servicer_context): + callback = _Callback() + if not servicer_context.add_callback(callback.cancel): + raise abandonment.Abandoned() + request_consumer = stream_unary_event( + callback.consume_and_terminate, + _FaceServicerContext(servicer_context), + ) + _run_request_pipe_thread( + request_iterator, request_consumer, servicer_context + ) + return callback.draw_all_values()[0] + + return adaptation + + +def _adapt_stream_stream_event(stream_stream_event): + def adaptation(request_iterator, servicer_context): + callback = _Callback() + if not servicer_context.add_callback(callback.cancel): + raise abandonment.Abandoned() + request_consumer = stream_stream_event( + callback, _FaceServicerContext(servicer_context) + ) + _run_request_pipe_thread( + request_iterator, request_consumer, servicer_context + ) + while True: + response = callback.draw_one_value() + if response is None: + return + else: + yield response + + return adaptation + + +class _SimpleMethodHandler( + collections.namedtuple( + "_MethodHandler", + ( + "request_streaming", + "response_streaming", + "request_deserializer", + "response_serializer", + "unary_unary", + "unary_stream", + "stream_unary", + "stream_stream", + ), + ), + grpc.RpcMethodHandler, +): + pass + + +def _simple_method_handler( + implementation, request_deserializer, response_serializer +): + if implementation.style is style.Service.INLINE: + if implementation.cardinality is cardinality.Cardinality.UNARY_UNARY: + return _SimpleMethodHandler( + False, + False, + request_deserializer, + response_serializer, + _adapt_unary_request_inline(implementation.unary_unary_inline), + None, + None, + None, + ) + elif implementation.cardinality is cardinality.Cardinality.UNARY_STREAM: + return _SimpleMethodHandler( + False, + True, + request_deserializer, + response_serializer, + None, + _adapt_unary_request_inline(implementation.unary_stream_inline), + None, + None, + ) + elif implementation.cardinality is cardinality.Cardinality.STREAM_UNARY: + return _SimpleMethodHandler( + True, + False, + request_deserializer, + response_serializer, + None, + None, + _adapt_stream_request_inline( + implementation.stream_unary_inline + ), + None, + ) + elif ( + implementation.cardinality is cardinality.Cardinality.STREAM_STREAM + ): + return _SimpleMethodHandler( + True, + True, + request_deserializer, + response_serializer, + None, + None, + None, + _adapt_stream_request_inline( + implementation.stream_stream_inline + ), + ) + elif implementation.style is style.Service.EVENT: + if implementation.cardinality is cardinality.Cardinality.UNARY_UNARY: + return _SimpleMethodHandler( + False, + False, + request_deserializer, + response_serializer, + _adapt_unary_unary_event(implementation.unary_unary_event), + None, + None, + None, + ) + elif implementation.cardinality is cardinality.Cardinality.UNARY_STREAM: + return _SimpleMethodHandler( + False, + True, + request_deserializer, + response_serializer, + None, + _adapt_unary_stream_event(implementation.unary_stream_event), + None, + None, + ) + elif implementation.cardinality is cardinality.Cardinality.STREAM_UNARY: + return _SimpleMethodHandler( + True, + False, + request_deserializer, + response_serializer, + None, + None, + _adapt_stream_unary_event(implementation.stream_unary_event), + None, + ) + elif ( + implementation.cardinality is cardinality.Cardinality.STREAM_STREAM + ): + return _SimpleMethodHandler( + True, + True, + request_deserializer, + response_serializer, + None, + None, + None, + _adapt_stream_stream_event(implementation.stream_stream_event), + ) + raise ValueError() + + +def _flatten_method_pair_map(method_pair_map): + method_pair_map = method_pair_map or {} + flat_map = {} + for method_pair in method_pair_map: + method = _common.fully_qualified_method(method_pair[0], method_pair[1]) + flat_map[method] = method_pair_map[method_pair] + return flat_map + + +class _GenericRpcHandler(grpc.GenericRpcHandler): + def __init__( + self, + method_implementations, + multi_method_implementation, + request_deserializers, + response_serializers, + ): + self._method_implementations = _flatten_method_pair_map( + method_implementations + ) + self._request_deserializers = _flatten_method_pair_map( + request_deserializers + ) + self._response_serializers = _flatten_method_pair_map( + response_serializers + ) + self._multi_method_implementation = multi_method_implementation + + def service(self, handler_call_details): + method_implementation = self._method_implementations.get( + handler_call_details.method + ) + if method_implementation is not None: + return _simple_method_handler( + method_implementation, + self._request_deserializers.get(handler_call_details.method), + self._response_serializers.get(handler_call_details.method), + ) + elif self._multi_method_implementation is None: + return None + else: + try: + return None # TODO(nathaniel): call the multimethod. + except face.NoSuchMethodError: + return None + + +class _Server(interfaces.Server): + def __init__(self, grpc_server): + self._grpc_server = grpc_server + + def add_insecure_port(self, address): + return self._grpc_server.add_insecure_port(address) + + def add_secure_port(self, address, server_credentials): + return self._grpc_server.add_secure_port(address, server_credentials) + + def start(self): + self._grpc_server.start() + + def stop(self, grace): + return self._grpc_server.stop(grace) + + def __enter__(self): + self._grpc_server.start() + return self + + def __exit__(self, exc_type, exc_val, exc_tb): + self._grpc_server.stop(None) + return False + + +def server( + service_implementations, + multi_method_implementation, + request_deserializers, + response_serializers, + thread_pool, + thread_pool_size, +): + generic_rpc_handler = _GenericRpcHandler( + service_implementations, + multi_method_implementation, + request_deserializers, + response_serializers, + ) + if thread_pool is None: + effective_thread_pool = logging_pool.pool( + _DEFAULT_POOL_SIZE if thread_pool_size is None else thread_pool_size + ) + else: + effective_thread_pool = thread_pool + return _Server( + grpc.server(effective_thread_pool, handlers=(generic_rpc_handler,)) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/implementations.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/implementations.py new file mode 100644 index 0000000000000000000000000000000000000000..ffa4f0d4bfe00a8cd743afbaf99cea97077680ac --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/implementations.py @@ -0,0 +1,345 @@ +# Copyright 2015-2016 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Entry points into the Beta API of gRPC Python.""" + +# threading is referenced from specification in this module. +import threading # pylint: disable=unused-import + +# interfaces, cardinality, and face are referenced from specification in this +# module. +import grpc +from grpc import _auth +from grpc.beta import _client_adaptations +from grpc.beta import _metadata +from grpc.beta import _server_adaptations +from grpc.beta import interfaces # pylint: disable=unused-import +from grpc.framework.common import cardinality # pylint: disable=unused-import +from grpc.framework.interfaces.face import face # pylint: disable=unused-import + +# pylint: disable=too-many-arguments + +ChannelCredentials = grpc.ChannelCredentials +ssl_channel_credentials = grpc.ssl_channel_credentials +CallCredentials = grpc.CallCredentials + + +def metadata_call_credentials(metadata_plugin, name=None): + def plugin(context, callback): + def wrapped_callback(beta_metadata, error): + callback(_metadata.unbeta(beta_metadata), error) + + metadata_plugin(context, wrapped_callback) + + return grpc.metadata_call_credentials(plugin, name=name) + + +def google_call_credentials(credentials): + """Construct CallCredentials from GoogleCredentials. + + Args: + credentials: A GoogleCredentials object from the oauth2client library. + + Returns: + A CallCredentials object for use in a GRPCCallOptions object. + """ + return metadata_call_credentials(_auth.GoogleCallCredentials(credentials)) + + +access_token_call_credentials = grpc.access_token_call_credentials +composite_call_credentials = grpc.composite_call_credentials +composite_channel_credentials = grpc.composite_channel_credentials + + +class Channel(object): + """A channel to a remote host through which RPCs may be conducted. + + Only the "subscribe" and "unsubscribe" methods are supported for application + use. This class' instance constructor and all other attributes are + unsupported. + """ + + def __init__(self, channel): + self._channel = channel + + def subscribe(self, callback, try_to_connect=None): + """Subscribes to this Channel's connectivity. + + Args: + callback: A callable to be invoked and passed an + interfaces.ChannelConnectivity identifying this Channel's connectivity. + The callable will be invoked immediately upon subscription and again for + every change to this Channel's connectivity thereafter until it is + unsubscribed. + try_to_connect: A boolean indicating whether or not this Channel should + attempt to connect if it is not already connected and ready to conduct + RPCs. + """ + self._channel.subscribe(callback, try_to_connect=try_to_connect) + + def unsubscribe(self, callback): + """Unsubscribes a callback from this Channel's connectivity. + + Args: + callback: A callable previously registered with this Channel from having + been passed to its "subscribe" method. + """ + self._channel.unsubscribe(callback) + + +def insecure_channel(host, port): + """Creates an insecure Channel to a remote host. + + Args: + host: The name of the remote host to which to connect. + port: The port of the remote host to which to connect. + If None only the 'host' part will be used. + + Returns: + A Channel to the remote host through which RPCs may be conducted. + """ + channel = grpc.insecure_channel( + host if port is None else "%s:%d" % (host, port) + ) + return Channel(channel) + + +def secure_channel(host, port, channel_credentials): + """Creates a secure Channel to a remote host. + + Args: + host: The name of the remote host to which to connect. + port: The port of the remote host to which to connect. + If None only the 'host' part will be used. + channel_credentials: A ChannelCredentials. + + Returns: + A secure Channel to the remote host through which RPCs may be conducted. + """ + channel = grpc.secure_channel( + host if port is None else "%s:%d" % (host, port), channel_credentials + ) + return Channel(channel) + + +class StubOptions(object): + """A value encapsulating the various options for creation of a Stub. + + This class and its instances have no supported interface - it exists to define + the type of its instances and its instances exist to be passed to other + functions. + """ + + def __init__( + self, + host, + request_serializers, + response_deserializers, + metadata_transformer, + thread_pool, + thread_pool_size, + ): + self.host = host + self.request_serializers = request_serializers + self.response_deserializers = response_deserializers + self.metadata_transformer = metadata_transformer + self.thread_pool = thread_pool + self.thread_pool_size = thread_pool_size + + +_EMPTY_STUB_OPTIONS = StubOptions(None, None, None, None, None, None) + + +def stub_options( + host=None, + request_serializers=None, + response_deserializers=None, + metadata_transformer=None, + thread_pool=None, + thread_pool_size=None, +): + """Creates a StubOptions value to be passed at stub creation. + + All parameters are optional and should always be passed by keyword. + + Args: + host: A host string to set on RPC calls. + request_serializers: A dictionary from service name-method name pair to + request serialization behavior. + response_deserializers: A dictionary from service name-method name pair to + response deserialization behavior. + metadata_transformer: A callable that given a metadata object produces + another metadata object to be used in the underlying communication on the + wire. + thread_pool: A thread pool to use in stubs. + thread_pool_size: The size of thread pool to create for use in stubs; + ignored if thread_pool has been passed. + + Returns: + A StubOptions value created from the passed parameters. + """ + return StubOptions( + host, + request_serializers, + response_deserializers, + metadata_transformer, + thread_pool, + thread_pool_size, + ) + + +def generic_stub(channel, options=None): + """Creates a face.GenericStub on which RPCs can be made. + + Args: + channel: A Channel for use by the created stub. + options: A StubOptions customizing the created stub. + + Returns: + A face.GenericStub on which RPCs can be made. + """ + effective_options = _EMPTY_STUB_OPTIONS if options is None else options + return _client_adaptations.generic_stub( + channel._channel, # pylint: disable=protected-access + effective_options.host, + effective_options.metadata_transformer, + effective_options.request_serializers, + effective_options.response_deserializers, + ) + + +def dynamic_stub(channel, service, cardinalities, options=None): + """Creates a face.DynamicStub with which RPCs can be invoked. + + Args: + channel: A Channel for the returned face.DynamicStub to use. + service: The package-qualified full name of the service. + cardinalities: A dictionary from RPC method name to cardinality.Cardinality + value identifying the cardinality of the RPC method. + options: An optional StubOptions value further customizing the functionality + of the returned face.DynamicStub. + + Returns: + A face.DynamicStub with which RPCs can be invoked. + """ + effective_options = _EMPTY_STUB_OPTIONS if options is None else options + return _client_adaptations.dynamic_stub( + channel._channel, # pylint: disable=protected-access + service, + cardinalities, + effective_options.host, + effective_options.metadata_transformer, + effective_options.request_serializers, + effective_options.response_deserializers, + ) + + +ServerCredentials = grpc.ServerCredentials +ssl_server_credentials = grpc.ssl_server_credentials + + +class ServerOptions(object): + """A value encapsulating the various options for creation of a Server. + + This class and its instances have no supported interface - it exists to define + the type of its instances and its instances exist to be passed to other + functions. + """ + + def __init__( + self, + multi_method_implementation, + request_deserializers, + response_serializers, + thread_pool, + thread_pool_size, + default_timeout, + maximum_timeout, + ): + self.multi_method_implementation = multi_method_implementation + self.request_deserializers = request_deserializers + self.response_serializers = response_serializers + self.thread_pool = thread_pool + self.thread_pool_size = thread_pool_size + self.default_timeout = default_timeout + self.maximum_timeout = maximum_timeout + + +_EMPTY_SERVER_OPTIONS = ServerOptions(None, None, None, None, None, None, None) + + +def server_options( + multi_method_implementation=None, + request_deserializers=None, + response_serializers=None, + thread_pool=None, + thread_pool_size=None, + default_timeout=None, + maximum_timeout=None, +): + """Creates a ServerOptions value to be passed at server creation. + + All parameters are optional and should always be passed by keyword. + + Args: + multi_method_implementation: A face.MultiMethodImplementation to be called + to service an RPC if the server has no specific method implementation for + the name of the RPC for which service was requested. + request_deserializers: A dictionary from service name-method name pair to + request deserialization behavior. + response_serializers: A dictionary from service name-method name pair to + response serialization behavior. + thread_pool: A thread pool to use in stubs. + thread_pool_size: The size of thread pool to create for use in stubs; + ignored if thread_pool has been passed. + default_timeout: A duration in seconds to allow for RPC service when + servicing RPCs that did not include a timeout value when invoked. + maximum_timeout: A duration in seconds to allow for RPC service when + servicing RPCs no matter what timeout value was passed when the RPC was + invoked. + + Returns: + A StubOptions value created from the passed parameters. + """ + return ServerOptions( + multi_method_implementation, + request_deserializers, + response_serializers, + thread_pool, + thread_pool_size, + default_timeout, + maximum_timeout, + ) + + +def server(service_implementations, options=None): + """Creates an interfaces.Server with which RPCs can be serviced. + + Args: + service_implementations: A dictionary from service name-method name pair to + face.MethodImplementation. + options: An optional ServerOptions value further customizing the + functionality of the returned Server. + + Returns: + An interfaces.Server with which RPCs can be serviced. + """ + effective_options = _EMPTY_SERVER_OPTIONS if options is None else options + return _server_adaptations.server( + service_implementations, + effective_options.multi_method_implementation, + effective_options.request_deserializers, + effective_options.response_serializers, + effective_options.thread_pool, + effective_options.thread_pool_size, + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/interfaces.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/interfaces.py new file mode 100644 index 0000000000000000000000000000000000000000..c29b2915854919b46691046f8135da53553e055b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/interfaces.py @@ -0,0 +1,163 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Constants and interfaces of the Beta API of gRPC Python.""" + +import abc + +import grpc + +ChannelConnectivity = grpc.ChannelConnectivity +# FATAL_FAILURE was a Beta-API name for SHUTDOWN +ChannelConnectivity.FATAL_FAILURE = ChannelConnectivity.SHUTDOWN + +StatusCode = grpc.StatusCode + + +class GRPCCallOptions(object): + """A value encapsulating gRPC-specific options passed on RPC invocation. + + This class and its instances have no supported interface - it exists to + define the type of its instances and its instances exist to be passed to + other functions. + """ + + def __init__(self, disable_compression, subcall_of, credentials): + self.disable_compression = disable_compression + self.subcall_of = subcall_of + self.credentials = credentials + + +def grpc_call_options(disable_compression=False, credentials=None): + """Creates a GRPCCallOptions value to be passed at RPC invocation. + + All parameters are optional and should always be passed by keyword. + + Args: + disable_compression: A boolean indicating whether or not compression should + be disabled for the request object of the RPC. Only valid for + request-unary RPCs. + credentials: A CallCredentials object to use for the invoked RPC. + """ + return GRPCCallOptions(disable_compression, None, credentials) + + +GRPCAuthMetadataContext = grpc.AuthMetadataContext +GRPCAuthMetadataPluginCallback = grpc.AuthMetadataPluginCallback +GRPCAuthMetadataPlugin = grpc.AuthMetadataPlugin + + +class GRPCServicerContext(abc.ABC): + """Exposes gRPC-specific options and behaviors to code servicing RPCs.""" + + @abc.abstractmethod + def peer(self): + """Identifies the peer that invoked the RPC being serviced. + + Returns: + A string identifying the peer that invoked the RPC being serviced. + """ + raise NotImplementedError() + + @abc.abstractmethod + def disable_next_response_compression(self): + """Disables compression of the next response passed by the application.""" + raise NotImplementedError() + + +class GRPCInvocationContext(abc.ABC): + """Exposes gRPC-specific options and behaviors to code invoking RPCs.""" + + @abc.abstractmethod + def disable_next_request_compression(self): + """Disables compression of the next request passed by the application.""" + raise NotImplementedError() + + +class Server(abc.ABC): + """Services RPCs.""" + + @abc.abstractmethod + def add_insecure_port(self, address): + """Reserves a port for insecure RPC service once this Server becomes active. + + This method may only be called before calling this Server's start method is + called. + + Args: + address: The address for which to open a port. + + Returns: + An integer port on which RPCs will be serviced after this link has been + started. This is typically the same number as the port number contained + in the passed address, but will likely be different if the port number + contained in the passed address was zero. + """ + raise NotImplementedError() + + @abc.abstractmethod + def add_secure_port(self, address, server_credentials): + """Reserves a port for secure RPC service after this Server becomes active. + + This method may only be called before calling this Server's start method is + called. + + Args: + address: The address for which to open a port. + server_credentials: A ServerCredentials. + + Returns: + An integer port on which RPCs will be serviced after this link has been + started. This is typically the same number as the port number contained + in the passed address, but will likely be different if the port number + contained in the passed address was zero. + """ + raise NotImplementedError() + + @abc.abstractmethod + def start(self): + """Starts this Server's service of RPCs. + + This method may only be called while the server is not serving RPCs (i.e. it + is not idempotent). + """ + raise NotImplementedError() + + @abc.abstractmethod + def stop(self, grace): + """Stops this Server's service of RPCs. + + All calls to this method immediately stop service of new RPCs. When existing + RPCs are aborted is controlled by the grace period parameter passed to this + method. + + This method may be called at any time and is idempotent. Passing a smaller + grace value than has been passed in a previous call will have the effect of + stopping the Server sooner. Passing a larger grace value than has been + passed in a previous call will not have the effect of stopping the server + later. + + Args: + grace: A duration of time in seconds to allow existing RPCs to complete + before being aborted by this Server's stopping. May be zero for + immediate abortion of all in-progress RPCs. + + Returns: + A threading.Event that will be set when this Server has completely + stopped. The returned event may not be set until after the full grace + period (if some ongoing RPC continues for the full length of the period) + of it may be set much sooner (such as if this Server had no RPCs underway + at the time it was stopped or if all RPCs that it had underway completed + very early in the grace period). + """ + raise NotImplementedError() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/utilities.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/utilities.py new file mode 100644 index 0000000000000000000000000000000000000000..90e54715cff72002ef4cfdce61867e0c3098e3d0 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/beta/utilities.py @@ -0,0 +1,153 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Utilities for the gRPC Python Beta API.""" + +import threading +import time + +# implementations is referenced from specification in this module. +from grpc.beta import implementations # pylint: disable=unused-import +from grpc.beta import interfaces +from grpc.framework.foundation import callable_util +from grpc.framework.foundation import future + +_DONE_CALLBACK_EXCEPTION_LOG_MESSAGE = ( + 'Exception calling connectivity future "done" callback!' +) + + +class _ChannelReadyFuture(future.Future): + def __init__(self, channel): + self._condition = threading.Condition() + self._channel = channel + + self._matured = False + self._cancelled = False + self._done_callbacks = [] + + def _block(self, timeout): + until = None if timeout is None else time.time() + timeout + with self._condition: + while True: + if self._cancelled: + raise future.CancelledError() + elif self._matured: + return + else: + if until is None: + self._condition.wait() + else: + remaining = until - time.time() + if remaining < 0: + raise future.TimeoutError() + else: + self._condition.wait(timeout=remaining) + + def _update(self, connectivity): + with self._condition: + if ( + not self._cancelled + and connectivity is interfaces.ChannelConnectivity.READY + ): + self._matured = True + self._channel.unsubscribe(self._update) + self._condition.notify_all() + done_callbacks = tuple(self._done_callbacks) + self._done_callbacks = None + else: + return + + for done_callback in done_callbacks: + callable_util.call_logging_exceptions( + done_callback, _DONE_CALLBACK_EXCEPTION_LOG_MESSAGE, self + ) + + def cancel(self): + with self._condition: + if not self._matured: + self._cancelled = True + self._channel.unsubscribe(self._update) + self._condition.notify_all() + done_callbacks = tuple(self._done_callbacks) + self._done_callbacks = None + else: + return False + + for done_callback in done_callbacks: + callable_util.call_logging_exceptions( + done_callback, _DONE_CALLBACK_EXCEPTION_LOG_MESSAGE, self + ) + + return True + + def cancelled(self): + with self._condition: + return self._cancelled + + def running(self): + with self._condition: + return not self._cancelled and not self._matured + + def done(self): + with self._condition: + return self._cancelled or self._matured + + def result(self, timeout=None): + self._block(timeout) + return None + + def exception(self, timeout=None): + self._block(timeout) + return None + + def traceback(self, timeout=None): + self._block(timeout) + return None + + def add_done_callback(self, fn): + with self._condition: + if not self._cancelled and not self._matured: + self._done_callbacks.append(fn) + return + + fn(self) + + def start(self): + with self._condition: + self._channel.subscribe(self._update, try_to_connect=True) + + def __del__(self): + with self._condition: + if not self._cancelled and not self._matured: + self._channel.unsubscribe(self._update) + + +def channel_ready_future(channel): + """Creates a future.Future tracking when an implementations.Channel is ready. + + Cancelling the returned future.Future does not tell the given + implementations.Channel to abandon attempts it may have been making to + connect; cancelling merely deactivates the return future.Future's + subscription to the given implementations.Channel's connectivity. + + Args: + channel: An implementations.Channel. + + Returns: + A future.Future that matures when the given Channel has connectivity + interfaces.ChannelConnectivity.READY. + """ + ready_future = _ChannelReadyFuture(channel) + ready_future.start() + return ready_future diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..32a53bf7f3434d855ba46e2d5a5924172735d2cd --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/__init__.py @@ -0,0 +1,134 @@ +# Copyright 2018 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""gRPC's experimental APIs. + +These APIs are subject to be removed during any minor version release. +""" + +import copy +import functools +import sys +import warnings + +import grpc +from grpc._cython import cygrpc as _cygrpc + +_EXPERIMENTAL_APIS_USED = set() + + +class ChannelOptions(object): + """Indicates a channel option unique to gRPC Python. + + This enumeration is part of an EXPERIMENTAL API. + + Attributes: + SingleThreadedUnaryStream: Perform unary-stream RPCs on a single thread. + """ + + SingleThreadedUnaryStream = "SingleThreadedUnaryStream" + + +class UsageError(Exception): + """Raised by the gRPC library to indicate usage not allowed by the API.""" + + +# It's important that there be a single insecure credentials object so that its +# hash is deterministic and can be used for indexing in the simple stubs cache. +_insecure_channel_credentials = grpc.ChannelCredentials( + _cygrpc.channel_credentials_insecure() +) + + +def insecure_channel_credentials(): + """Creates a ChannelCredentials for use with an insecure channel. + + THIS IS AN EXPERIMENTAL API. + """ + return _insecure_channel_credentials + + +class ExperimentalApiWarning(Warning): + """A warning that an API is experimental.""" + + +def _warn_experimental(api_name, stack_offset): + if api_name not in _EXPERIMENTAL_APIS_USED: + _EXPERIMENTAL_APIS_USED.add(api_name) + msg = ( + "'{}' is an experimental API. It is subject to change or ".format( + api_name + ) + + "removal between minor releases. Proceed with caution." + ) + warnings.warn(msg, ExperimentalApiWarning, stacklevel=2 + stack_offset) + + +def experimental_api(f): + @functools.wraps(f) + def _wrapper(*args, **kwargs): + _warn_experimental(f.__name__, 1) + return f(*args, **kwargs) + + return _wrapper + + +def wrap_server_method_handler(wrapper, handler): + """Wraps the server method handler function. + + The server implementation requires all server handlers being wrapped as + RpcMethodHandler objects. This helper function ease the pain of writing + server handler wrappers. + + Args: + wrapper: A wrapper function that takes in a method handler behavior + (the actual function) and returns a wrapped function. + handler: A RpcMethodHandler object to be wrapped. + + Returns: + A newly created RpcMethodHandler. + """ + if not handler: + return None + + if not handler.request_streaming: + if not handler.response_streaming: + # NOTE(lidiz) _replace is a public API: + # https://docs.python.org/dev/library/collections.html + return handler._replace(unary_unary=wrapper(handler.unary_unary)) + else: + return handler._replace(unary_stream=wrapper(handler.unary_stream)) + else: + if not handler.response_streaming: + return handler._replace(stream_unary=wrapper(handler.stream_unary)) + else: + return handler._replace( + stream_stream=wrapper(handler.stream_stream) + ) + + +__all__ = ( + "ChannelOptions", + "ExperimentalApiWarning", + "UsageError", + "insecure_channel_credentials", + "wrap_server_method_handler", +) + +if sys.version_info > (3, 6): + from grpc._simple_stubs import stream_stream + from grpc._simple_stubs import stream_unary + from grpc._simple_stubs import unary_stream + from grpc._simple_stubs import unary_unary + + __all__ = __all__ + (unary_unary, unary_stream, stream_unary, stream_stream) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..e3ec765867edfaab684013bd06153bf68fc35fcf Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/__pycache__/gevent.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/__pycache__/gevent.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..48a91f2d16c6db6af8c528de4b4d16740d2b9fd7 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/__pycache__/gevent.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/__pycache__/session_cache.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/__pycache__/session_cache.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..73b8c202f4bad3e250f6cda2b99c96ba18e8b304 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/__pycache__/session_cache.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/aio/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/aio/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..576cb8dcde410bcf33ebd2721ae2eaef5c4c4e0a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/aio/__init__.py @@ -0,0 +1,16 @@ +# Copyright 2020 The gRPC Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Alias of grpc.aio to keep backward compatibility.""" + +from grpc.aio import * diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/aio/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/aio/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..00a03d030b69c7849e220bc578fb399b8ab37cc7 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/aio/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/gevent.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/gevent.py new file mode 100644 index 0000000000000000000000000000000000000000..159d612b4ed1fe3debf7a96d04f6e8057262a62f --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/gevent.py @@ -0,0 +1,27 @@ +# Copyright 2018 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""gRPC's Python gEvent APIs.""" + +from grpc._cython import cygrpc as _cygrpc + + +def init_gevent(): + """Patches gRPC's libraries to be compatible with gevent. + + This must be called AFTER the python standard lib has been patched, + but BEFORE creating and gRPC objects. + + In order for progress to be made, the application must drive the event loop. + """ + _cygrpc.init_grpc_gevent() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/session_cache.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/session_cache.py new file mode 100644 index 0000000000000000000000000000000000000000..5c55f7c327c5062f232c41f09046465fb4f77214 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/experimental/session_cache.py @@ -0,0 +1,45 @@ +# Copyright 2018 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""gRPC's APIs for TLS Session Resumption support""" + +from grpc._cython import cygrpc as _cygrpc + + +def ssl_session_cache_lru(capacity): + """Creates an SSLSessionCache with LRU replacement policy + + Args: + capacity: Size of the cache + + Returns: + An SSLSessionCache with LRU replacement policy that can be passed as a value for + the grpc.ssl_session_cache option to a grpc.Channel. SSL session caches are used + to store session tickets, which clients can present to resume previous TLS sessions + with a server. + """ + return SSLSessionCache(_cygrpc.SSLSessionCacheLRU(capacity)) + + +class SSLSessionCache(object): + """An encapsulation of a session cache used for TLS session resumption. + + Instances of this class can be passed to a Channel as values for the + grpc.ssl_session_cache option + """ + + def __init__(self, cache): + self._cache = cache + + def __int__(self): + return int(self._cache) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5fb4f3c3cfd5622f4067f3dd22eb49318855325a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a63f6c8a3d480a86d210054549e024e9e958a052 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/common/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/common/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5fb4f3c3cfd5622f4067f3dd22eb49318855325a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/common/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/common/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/common/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..97a6c5781a09cd6e6cbfa720bb95d3c04905fb2e Binary files /dev/null and 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b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/common/__pycache__/style.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..100609013fd2365b2f75a1e2274f166eba22b618 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/common/__pycache__/style.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/common/cardinality.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/common/cardinality.py new file mode 100644 index 0000000000000000000000000000000000000000..3d3d4d3427cb821cae762ffea7cbd4a7d55600a3 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/common/cardinality.py @@ -0,0 +1,26 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Defines an enum for classifying RPC methods by streaming semantics.""" + +import enum + + +@enum.unique +class Cardinality(enum.Enum): + """Describes the streaming semantics of an RPC method.""" + + UNARY_UNARY = "request-unary/response-unary" + UNARY_STREAM = "request-unary/response-streaming" + STREAM_UNARY = "request-streaming/response-unary" + STREAM_STREAM = "request-streaming/response-streaming" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/common/style.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/common/style.py new file mode 100644 index 0000000000000000000000000000000000000000..10bf5f17697afd3788cef3f22af8341decd7a4f8 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/common/style.py @@ -0,0 +1,24 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Defines an enum for classifying RPC methods by control flow semantics.""" + +import enum + + +@enum.unique +class Service(enum.Enum): + """Describes the control flow style of RPC method implementation.""" + + INLINE = "inline" + EVENT = "event" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5fb4f3c3cfd5622f4067f3dd22eb49318855325a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..85be6b7f3fbd4201ebfe505326ef45699af092ae Binary files /dev/null and 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b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/__pycache__/stream_util.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/abandonment.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/abandonment.py new file mode 100644 index 0000000000000000000000000000000000000000..c4cb7d5c0725474f8d00a930d9d25fe6565ec060 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/abandonment.py @@ -0,0 +1,22 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Utilities for indicating abandonment of computation.""" + + +class Abandoned(Exception): + """Indicates that some computation is being abandoned. + + Abandoning a computation is different than returning a value or raising + an exception indicating some operational or programming defect. + """ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/callable_util.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/callable_util.py new file mode 100644 index 0000000000000000000000000000000000000000..b64131b40294f97bb3d4891b70fc86c5155261cf --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/callable_util.py @@ -0,0 +1,98 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Utilities for working with callables.""" + +from abc import ABC +import collections +import enum +import functools +import logging + +_LOGGER = logging.getLogger(__name__) + + +class Outcome(ABC): + """A sum type describing the outcome of some call. + + Attributes: + kind: One of Kind.RETURNED or Kind.RAISED respectively indicating that the + call returned a value or raised an exception. + return_value: The value returned by the call. Must be present if kind is + Kind.RETURNED. + exception: The exception raised by the call. Must be present if kind is + Kind.RAISED. + """ + + @enum.unique + class Kind(enum.Enum): + """Identifies the general kind of the outcome of some call.""" + + RETURNED = object() + RAISED = object() + + +class _EasyOutcome( + collections.namedtuple( + "_EasyOutcome", ["kind", "return_value", "exception"] + ), + Outcome, +): + """A trivial implementation of Outcome.""" + + +def _call_logging_exceptions(behavior, message, *args, **kwargs): + try: + return _EasyOutcome( + Outcome.Kind.RETURNED, behavior(*args, **kwargs), None + ) + except Exception as e: # pylint: disable=broad-except + _LOGGER.exception(message) + return _EasyOutcome(Outcome.Kind.RAISED, None, e) + + +def with_exceptions_logged(behavior, message): + """Wraps a callable in a try-except that logs any exceptions it raises. + + Args: + behavior: Any callable. + message: A string to log if the behavior raises an exception. + + Returns: + A callable that when executed invokes the given behavior. The returned + callable takes the same arguments as the given behavior but returns a + future.Outcome describing whether the given behavior returned a value or + raised an exception. + """ + + @functools.wraps(behavior) + def wrapped_behavior(*args, **kwargs): + return _call_logging_exceptions(behavior, message, *args, **kwargs) + + return wrapped_behavior + + +def call_logging_exceptions(behavior, message, *args, **kwargs): + """Calls a behavior in a try-except that logs any exceptions it raises. + + Args: + behavior: Any callable. + message: A string to log if the behavior raises an exception. + *args: Positional arguments to pass to the given behavior. + **kwargs: Keyword arguments to pass to the given behavior. + + Returns: + An Outcome describing whether the given behavior returned a value or raised + an exception. + """ + return _call_logging_exceptions(behavior, message, *args, **kwargs) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/future.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/future.py new file mode 100644 index 0000000000000000000000000000000000000000..73b0d0bdbe11877922464838a62cfea7b8584331 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/future.py @@ -0,0 +1,219 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""A Future interface. + +Python doesn't have a Future interface in its standard library. In the absence +of such a standard, three separate, incompatible implementations +(concurrent.futures.Future, ndb.Future, and asyncio.Future) have appeared. This +interface attempts to be as compatible as possible with +concurrent.futures.Future. From ndb.Future it adopts a traceback-object accessor +method. + +Unlike the concrete and implemented Future classes listed above, the Future +class defined in this module is an entirely abstract interface that anyone may +implement and use. + +The one known incompatibility between this interface and the interface of +concurrent.futures.Future is that this interface defines its own CancelledError +and TimeoutError exceptions rather than raising the implementation-private +concurrent.futures._base.CancelledError and the +built-in-but-only-in-3.3-and-later TimeoutError. +""" + +import abc + + +class TimeoutError(Exception): + """Indicates that a particular call timed out.""" + + +class CancelledError(Exception): + """Indicates that the computation underlying a Future was cancelled.""" + + +class Future(abc.ABC): + """A representation of a computation in another control flow. + + Computations represented by a Future may be yet to be begun, may be ongoing, + or may have already completed. + """ + + # NOTE(nathaniel): This isn't the return type that I would want to have if it + # were up to me. Were this interface being written from scratch, the return + # type of this method would probably be a sum type like: + # + # NOT_COMMENCED + # COMMENCED_AND_NOT_COMPLETED + # PARTIAL_RESULT + # COMPLETED + # UNCANCELLABLE + # NOT_IMMEDIATELY_DETERMINABLE + @abc.abstractmethod + def cancel(self): + """Attempts to cancel the computation. + + This method does not block. + + Returns: + True if the computation has not yet begun, will not be allowed to take + place, and determination of both was possible without blocking. False + under all other circumstances including but not limited to the + computation's already having begun, the computation's already having + finished, and the computation's having been scheduled for execution on a + remote system for which a determination of whether or not it commenced + before being cancelled cannot be made without blocking. + """ + raise NotImplementedError() + + # NOTE(nathaniel): Here too this isn't the return type that I'd want this + # method to have if it were up to me. I think I'd go with another sum type + # like: + # + # NOT_CANCELLED (this object's cancel method hasn't been called) + # NOT_COMMENCED + # COMMENCED_AND_NOT_COMPLETED + # PARTIAL_RESULT + # COMPLETED + # UNCANCELLABLE + # NOT_IMMEDIATELY_DETERMINABLE + # + # Notice how giving the cancel method the right semantics obviates most + # reasons for this method to exist. + @abc.abstractmethod + def cancelled(self): + """Describes whether the computation was cancelled. + + This method does not block. + + Returns: + True if the computation was cancelled any time before its result became + immediately available. False under all other circumstances including but + not limited to this object's cancel method not having been called and + the computation's result having become immediately available. + """ + raise NotImplementedError() + + @abc.abstractmethod + def running(self): + """Describes whether the computation is taking place. + + This method does not block. + + Returns: + True if the computation is scheduled to take place in the future or is + taking place now, or False if the computation took place in the past or + was cancelled. + """ + raise NotImplementedError() + + # NOTE(nathaniel): These aren't quite the semantics I'd like here either. I + # would rather this only returned True in cases in which the underlying + # computation completed successfully. A computation's having been cancelled + # conflicts with considering that computation "done". + @abc.abstractmethod + def done(self): + """Describes whether the computation has taken place. + + This method does not block. + + Returns: + True if the computation is known to have either completed or have been + unscheduled or interrupted. False if the computation may possibly be + executing or scheduled to execute later. + """ + raise NotImplementedError() + + @abc.abstractmethod + def result(self, timeout=None): + """Accesses the outcome of the computation or raises its exception. + + This method may return immediately or may block. + + Args: + timeout: The length of time in seconds to wait for the computation to + finish or be cancelled, or None if this method should block until the + computation has finished or is cancelled no matter how long that takes. + + Returns: + The return value of the computation. + + Raises: + TimeoutError: If a timeout value is passed and the computation does not + terminate within the allotted time. + CancelledError: If the computation was cancelled. + Exception: If the computation raised an exception, this call will raise + the same exception. + """ + raise NotImplementedError() + + @abc.abstractmethod + def exception(self, timeout=None): + """Return the exception raised by the computation. + + This method may return immediately or may block. + + Args: + timeout: The length of time in seconds to wait for the computation to + terminate or be cancelled, or None if this method should block until + the computation is terminated or is cancelled no matter how long that + takes. + + Returns: + The exception raised by the computation, or None if the computation did + not raise an exception. + + Raises: + TimeoutError: If a timeout value is passed and the computation does not + terminate within the allotted time. + CancelledError: If the computation was cancelled. + """ + raise NotImplementedError() + + @abc.abstractmethod + def traceback(self, timeout=None): + """Access the traceback of the exception raised by the computation. + + This method may return immediately or may block. + + Args: + timeout: The length of time in seconds to wait for the computation to + terminate or be cancelled, or None if this method should block until + the computation is terminated or is cancelled no matter how long that + takes. + + Returns: + The traceback of the exception raised by the computation, or None if the + computation did not raise an exception. + + Raises: + TimeoutError: If a timeout value is passed and the computation does not + terminate within the allotted time. + CancelledError: If the computation was cancelled. + """ + raise NotImplementedError() + + @abc.abstractmethod + def add_done_callback(self, fn): + """Adds a function to be called at completion of the computation. + + The callback will be passed this Future object describing the outcome of + the computation. + + If the computation has already completed, the callback will be called + immediately. + + Args: + fn: A callable taking this Future object as its single parameter. + """ + raise NotImplementedError() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/logging_pool.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/logging_pool.py new file mode 100644 index 0000000000000000000000000000000000000000..a4e140f174de5eecab864928f3252b0078cca7d6 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/logging_pool.py @@ -0,0 +1,72 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""A thread pool that logs exceptions raised by tasks executed within it.""" + +from concurrent import futures +import logging + +_LOGGER = logging.getLogger(__name__) + + +def _wrap(behavior): + """Wraps an arbitrary callable behavior in exception-logging.""" + + def _wrapping(*args, **kwargs): + try: + return behavior(*args, **kwargs) + except Exception: + _LOGGER.exception( + "Unexpected exception from %s executed in logging pool!", + behavior, + ) + raise + + return _wrapping + + +class _LoggingPool(object): + """An exception-logging futures.ThreadPoolExecutor-compatible thread pool.""" + + def __init__(self, backing_pool): + self._backing_pool = backing_pool + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_val, exc_tb): + self._backing_pool.shutdown(wait=True) + + def submit(self, fn, *args, **kwargs): + return self._backing_pool.submit(_wrap(fn), *args, **kwargs) + + def map(self, func, *iterables, **kwargs): + return self._backing_pool.map( + _wrap(func), *iterables, timeout=kwargs.get("timeout", None) + ) + + def shutdown(self, wait=True): + self._backing_pool.shutdown(wait=wait) + + +def pool(max_workers): + """Creates a thread pool that logs exceptions raised by the tasks within it. + + Args: + max_workers: The maximum number of worker threads to allow the pool. + + Returns: + A futures.ThreadPoolExecutor-compatible thread pool that logs exceptions + raised by the tasks executed within it. + """ + return _LoggingPool(futures.ThreadPoolExecutor(max_workers)) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/stream.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/stream.py new file mode 100644 index 0000000000000000000000000000000000000000..70ca1d915756a0605d1b85a72ef5fb80590816d3 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/stream.py @@ -0,0 +1,43 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Interfaces related to streams of values or objects.""" + +import abc + + +class Consumer(abc.ABC): + """Interface for consumers of finite streams of values or objects.""" + + @abc.abstractmethod + def consume(self, value): + """Accepts a value. + + Args: + value: Any value accepted by this Consumer. + """ + raise NotImplementedError() + + @abc.abstractmethod + def terminate(self): + """Indicates to this Consumer that no more values will be supplied.""" + raise NotImplementedError() + + @abc.abstractmethod + def consume_and_terminate(self, value): + """Supplies a value and signals that no more values will be supplied. + + Args: + value: Any value accepted by this Consumer. + """ + raise NotImplementedError() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/stream_util.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/stream_util.py new file mode 100644 index 0000000000000000000000000000000000000000..1faaf29bd7e3c69006d825ea6f0a21dbc8f5234d --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/foundation/stream_util.py @@ -0,0 +1,148 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Helpful utilities related to the stream module.""" + +import logging +import threading + +from grpc.framework.foundation import stream + +_NO_VALUE = object() +_LOGGER = logging.getLogger(__name__) + + +class TransformingConsumer(stream.Consumer): + """A stream.Consumer that passes a transformation of its input to another.""" + + def __init__(self, transformation, downstream): + self._transformation = transformation + self._downstream = downstream + + def consume(self, value): + self._downstream.consume(self._transformation(value)) + + def terminate(self): + self._downstream.terminate() + + def consume_and_terminate(self, value): + self._downstream.consume_and_terminate(self._transformation(value)) + + +class IterableConsumer(stream.Consumer): + """A Consumer that when iterated over emits the values it has consumed.""" + + def __init__(self): + self._condition = threading.Condition() + self._values = [] + self._active = True + + def consume(self, value): + with self._condition: + if self._active: + self._values.append(value) + self._condition.notify() + + def terminate(self): + with self._condition: + self._active = False + self._condition.notify() + + def consume_and_terminate(self, value): + with self._condition: + if self._active: + self._values.append(value) + self._active = False + self._condition.notify() + + def __iter__(self): + return self + + def __next__(self): + return self.next() + + def next(self): + with self._condition: + while self._active and not self._values: + self._condition.wait() + if self._values: + return self._values.pop(0) + else: + raise StopIteration() + + +class ThreadSwitchingConsumer(stream.Consumer): + """A Consumer decorator that affords serialization and asynchrony.""" + + def __init__(self, sink, pool): + self._lock = threading.Lock() + self._sink = sink + self._pool = pool + # True if self._spin has been submitted to the pool to be called once and + # that call has not yet returned, False otherwise. + self._spinning = False + self._values = [] + self._active = True + + def _spin(self, sink, value, terminate): + while True: + try: + if value is _NO_VALUE: + sink.terminate() + elif terminate: + sink.consume_and_terminate(value) + else: + sink.consume(value) + except Exception as e: # pylint:disable=broad-except + _LOGGER.exception(e) + + with self._lock: + if terminate: + self._spinning = False + return + elif self._values: + value = self._values.pop(0) + terminate = not self._values and not self._active + elif not self._active: + value = _NO_VALUE + terminate = True + else: + self._spinning = False + return + + def consume(self, value): + with self._lock: + if self._active: + if self._spinning: + self._values.append(value) + else: + self._pool.submit(self._spin, self._sink, value, False) + self._spinning = True + + def terminate(self): + with self._lock: + if self._active: + self._active = False + if not self._spinning: + self._pool.submit(self._spin, self._sink, _NO_VALUE, True) + self._spinning = True + + def consume_and_terminate(self, value): + with self._lock: + if self._active: + self._active = False + if self._spinning: + self._values.append(value) + else: + self._pool.submit(self._spin, self._sink, value, True) + self._spinning = True diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5fb4f3c3cfd5622f4067f3dd22eb49318855325a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..f89603fb069f71d74f509ec1646ba3bc398a23ad Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5fb4f3c3cfd5622f4067f3dd22eb49318855325a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..8ba9c16f2d36a93b3d02cb51a173ecc86af638cc Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/__pycache__/base.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/__pycache__/base.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..e5ea13cc02ad5dd541f57ccec1c0eb23996d54cc Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/__pycache__/base.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/__pycache__/utilities.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/__pycache__/utilities.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..b5c931c07c61e2a92f2352e21d3a68054dc79b1e Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/__pycache__/utilities.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/base.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/base.py new file mode 100644 index 0000000000000000000000000000000000000000..ea71ff6a181bea0bf8c3f48fddbd15a64c6d37e6 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/base.py @@ -0,0 +1,328 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""The base interface of RPC Framework. + +Implementations of this interface support the conduct of "operations": +exchanges between two distinct ends of an arbitrary number of data payloads +and metadata such as a name for the operation, initial and terminal metadata +in each direction, and flow control. These operations may be used for transfers +of data, remote procedure calls, status indication, or anything else +applications choose. +""" + +# threading is referenced from specification in this module. +import abc +import enum +import threading # pylint: disable=unused-import + +# pylint: disable=too-many-arguments + + +class NoSuchMethodError(Exception): + """Indicates that an unrecognized operation has been called. + + Attributes: + code: A code value to communicate to the other side of the operation + along with indication of operation termination. May be None. + details: A details value to communicate to the other side of the + operation along with indication of operation termination. May be None. + """ + + def __init__(self, code, details): + """Constructor. + + Args: + code: A code value to communicate to the other side of the operation + along with indication of operation termination. May be None. + details: A details value to communicate to the other side of the + operation along with indication of operation termination. May be None. + """ + super(NoSuchMethodError, self).__init__() + self.code = code + self.details = details + + +class Outcome(object): + """The outcome of an operation. + + Attributes: + kind: A Kind value coarsely identifying how the operation terminated. + code: An application-specific code value or None if no such value was + provided. + details: An application-specific details value or None if no such value was + provided. + """ + + @enum.unique + class Kind(enum.Enum): + """Ways in which an operation can terminate.""" + + COMPLETED = "completed" + CANCELLED = "cancelled" + EXPIRED = "expired" + LOCAL_SHUTDOWN = "local shutdown" + REMOTE_SHUTDOWN = "remote shutdown" + RECEPTION_FAILURE = "reception failure" + TRANSMISSION_FAILURE = "transmission failure" + LOCAL_FAILURE = "local failure" + REMOTE_FAILURE = "remote failure" + + +class Completion(abc.ABC): + """An aggregate of the values exchanged upon operation completion. + + Attributes: + terminal_metadata: A terminal metadata value for the operation. + code: A code value for the operation. + message: A message value for the operation. + """ + + +class OperationContext(abc.ABC): + """Provides operation-related information and action.""" + + @abc.abstractmethod + def outcome(self): + """Indicates the operation's outcome (or that the operation is ongoing). + + Returns: + None if the operation is still active or the Outcome value for the + operation if it has terminated. + """ + raise NotImplementedError() + + @abc.abstractmethod + def add_termination_callback(self, callback): + """Adds a function to be called upon operation termination. + + Args: + callback: A callable to be passed an Outcome value on operation + termination. + + Returns: + None if the operation has not yet terminated and the passed callback will + later be called when it does terminate, or if the operation has already + terminated an Outcome value describing the operation termination and the + passed callback will not be called as a result of this method call. + """ + raise NotImplementedError() + + @abc.abstractmethod + def time_remaining(self): + """Describes the length of allowed time remaining for the operation. + + Returns: + A nonnegative float indicating the length of allowed time in seconds + remaining for the operation to complete before it is considered to have + timed out. Zero is returned if the operation has terminated. + """ + raise NotImplementedError() + + @abc.abstractmethod + def cancel(self): + """Cancels the operation if the operation has not yet terminated.""" + raise NotImplementedError() + + @abc.abstractmethod + def fail(self, exception): + """Indicates that the operation has failed. + + Args: + exception: An exception germane to the operation failure. May be None. + """ + raise NotImplementedError() + + +class Operator(abc.ABC): + """An interface through which to participate in an operation.""" + + @abc.abstractmethod + def advance( + self, + initial_metadata=None, + payload=None, + completion=None, + allowance=None, + ): + """Progresses the operation. + + Args: + initial_metadata: An initial metadata value. Only one may ever be + communicated in each direction for an operation, and they must be + communicated no later than either the first payload or the completion. + payload: A payload value. + completion: A Completion value. May only ever be non-None once in either + direction, and no payloads may be passed after it has been communicated. + allowance: A positive integer communicating the number of additional + payloads allowed to be passed by the remote side of the operation. + """ + raise NotImplementedError() + + +class ProtocolReceiver(abc.ABC): + """A means of receiving protocol values during an operation.""" + + @abc.abstractmethod + def context(self, protocol_context): + """Accepts the protocol context object for the operation. + + Args: + protocol_context: The protocol context object for the operation. + """ + raise NotImplementedError() + + +class Subscription(abc.ABC): + """Describes customer code's interest in values from the other side. + + Attributes: + kind: A Kind value describing the overall kind of this value. + termination_callback: A callable to be passed the Outcome associated with + the operation after it has terminated. Must be non-None if kind is + Kind.TERMINATION_ONLY. Must be None otherwise. + allowance: A callable behavior that accepts positive integers representing + the number of additional payloads allowed to be passed to the other side + of the operation. Must be None if kind is Kind.FULL. Must not be None + otherwise. + operator: An Operator to be passed values from the other side of the + operation. Must be non-None if kind is Kind.FULL. Must be None otherwise. + protocol_receiver: A ProtocolReceiver to be passed protocol objects as they + become available during the operation. Must be non-None if kind is + Kind.FULL. + """ + + @enum.unique + class Kind(enum.Enum): + NONE = "none" + TERMINATION_ONLY = "termination only" + FULL = "full" + + +class Servicer(abc.ABC): + """Interface for service implementations.""" + + @abc.abstractmethod + def service(self, group, method, context, output_operator): + """Services an operation. + + Args: + group: The group identifier of the operation to be serviced. + method: The method identifier of the operation to be serviced. + context: An OperationContext object affording contextual information and + actions. + output_operator: An Operator that will accept output values of the + operation. + + Returns: + A Subscription via which this object may or may not accept more values of + the operation. + + Raises: + NoSuchMethodError: If this Servicer does not handle operations with the + given group and method. + abandonment.Abandoned: If the operation has been aborted and there no + longer is any reason to service the operation. + """ + raise NotImplementedError() + + +class End(abc.ABC): + """Common type for entry-point objects on both sides of an operation.""" + + @abc.abstractmethod + def start(self): + """Starts this object's service of operations.""" + raise NotImplementedError() + + @abc.abstractmethod + def stop(self, grace): + """Stops this object's service of operations. + + This object will refuse service of new operations as soon as this method is + called but operations under way at the time of the call may be given a + grace period during which they are allowed to finish. + + Args: + grace: A duration of time in seconds to allow ongoing operations to + terminate before being forcefully terminated by the stopping of this + End. May be zero to terminate all ongoing operations and immediately + stop. + + Returns: + A threading.Event that will be set to indicate all operations having + terminated and this End having completely stopped. The returned event + may not be set until after the full grace period (if some ongoing + operation continues for the full length of the period) or it may be set + much sooner (if for example this End had no operations in progress at + the time its stop method was called). + """ + raise NotImplementedError() + + @abc.abstractmethod + def operate( + self, + group, + method, + subscription, + timeout, + initial_metadata=None, + payload=None, + completion=None, + protocol_options=None, + ): + """Commences an operation. + + Args: + group: The group identifier of the invoked operation. + method: The method identifier of the invoked operation. + subscription: A Subscription to which the results of the operation will be + passed. + timeout: A length of time in seconds to allow for the operation. + initial_metadata: An initial metadata value to be sent to the other side + of the operation. May be None if the initial metadata will be later + passed via the returned operator or if there will be no initial metadata + passed at all. + payload: An initial payload for the operation. + completion: A Completion value indicating the end of transmission to the + other side of the operation. + protocol_options: A value specified by the provider of a Base interface + implementation affording custom state and behavior. + + Returns: + A pair of objects affording information about the operation and action + continuing the operation. The first element of the returned pair is an + OperationContext for the operation and the second element of the + returned pair is an Operator to which operation values not passed in + this call should later be passed. + """ + raise NotImplementedError() + + @abc.abstractmethod + def operation_stats(self): + """Reports the number of terminated operations broken down by outcome. + + Returns: + A dictionary from Outcome.Kind value to an integer identifying the number + of operations that terminated with that outcome kind. + """ + raise NotImplementedError() + + @abc.abstractmethod + def add_idle_action(self, action): + """Adds an action to be called when this End has no ongoing operations. + + Args: + action: A callable that accepts no arguments. + """ + raise NotImplementedError() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/utilities.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/utilities.py new file mode 100644 index 0000000000000000000000000000000000000000..5b601f3bde839ab8293ae132a58d3b99dfb50c36 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/base/utilities.py @@ -0,0 +1,83 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Utilities for use with the base interface of RPC Framework.""" + +import collections + +from grpc.framework.interfaces.base import base + + +class _Completion( + base.Completion, + collections.namedtuple( + "_Completion", + ( + "terminal_metadata", + "code", + "message", + ), + ), +): + """A trivial implementation of base.Completion.""" + + +class _Subscription( + base.Subscription, + collections.namedtuple( + "_Subscription", + ( + "kind", + "termination_callback", + "allowance", + "operator", + "protocol_receiver", + ), + ), +): + """A trivial implementation of base.Subscription.""" + + +_NONE_SUBSCRIPTION = _Subscription( + base.Subscription.Kind.NONE, None, None, None, None +) + + +def completion(terminal_metadata, code, message): + """Creates a base.Completion aggregating the given operation values. + + Args: + terminal_metadata: A terminal metadata value for an operation. + code: A code value for an operation. + message: A message value for an operation. + + Returns: + A base.Completion aggregating the given operation values. + """ + return _Completion(terminal_metadata, code, message) + + +def full_subscription(operator, protocol_receiver): + """Creates a "full" base.Subscription for the given base.Operator. + + Args: + operator: A base.Operator to be used in an operation. + protocol_receiver: A base.ProtocolReceiver to be used in an operation. + + Returns: + A base.Subscription of kind base.Subscription.Kind.FULL wrapping the given + base.Operator and base.ProtocolReceiver. + """ + return _Subscription( + base.Subscription.Kind.FULL, None, None, operator, protocol_receiver + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/face/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/face/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5fb4f3c3cfd5622f4067f3dd22eb49318855325a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/face/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/face/__pycache__/__init__.cpython-312.pyc 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b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/face/face.py new file mode 100644 index 0000000000000000000000000000000000000000..9239fcc9eb9967a3d303e7ebaafbcb7dae82baed --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/face/face.py @@ -0,0 +1,1084 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Interfaces defining the Face layer of RPC Framework.""" + +import abc +import collections +import enum + +# cardinality, style, abandonment, future, and stream are +# referenced from specification in this module. +from grpc.framework.common import cardinality # pylint: disable=unused-import +from grpc.framework.common import style # pylint: disable=unused-import +from grpc.framework.foundation import future # pylint: disable=unused-import +from grpc.framework.foundation import stream # pylint: disable=unused-import + +# pylint: disable=too-many-arguments + + +class NoSuchMethodError(Exception): + """Raised by customer code to indicate an unrecognized method. + + Attributes: + group: The group of the unrecognized method. + name: The name of the unrecognized method. + """ + + def __init__(self, group, method): + """Constructor. + + Args: + group: The group identifier of the unrecognized RPC name. + method: The method identifier of the unrecognized RPC name. + """ + super(NoSuchMethodError, self).__init__() + self.group = group + self.method = method + + def __repr__(self): + return "face.NoSuchMethodError(%s, %s)" % ( + self.group, + self.method, + ) + + +class Abortion( + collections.namedtuple( + "Abortion", + ( + "kind", + "initial_metadata", + "terminal_metadata", + "code", + "details", + ), + ) +): + """A value describing RPC abortion. + + Attributes: + kind: A Kind value identifying how the RPC failed. + initial_metadata: The initial metadata from the other side of the RPC or + None if no initial metadata value was received. + terminal_metadata: The terminal metadata from the other side of the RPC or + None if no terminal metadata value was received. + code: The code value from the other side of the RPC or None if no code value + was received. + details: The details value from the other side of the RPC or None if no + details value was received. + """ + + @enum.unique + class Kind(enum.Enum): + """Types of RPC abortion.""" + + CANCELLED = "cancelled" + EXPIRED = "expired" + LOCAL_SHUTDOWN = "local shutdown" + REMOTE_SHUTDOWN = "remote shutdown" + NETWORK_FAILURE = "network failure" + LOCAL_FAILURE = "local failure" + REMOTE_FAILURE = "remote failure" + + +class AbortionError(Exception, metaclass=abc.ABCMeta): + """Common super type for exceptions indicating RPC abortion. + + initial_metadata: The initial metadata from the other side of the RPC or + None if no initial metadata value was received. + terminal_metadata: The terminal metadata from the other side of the RPC or + None if no terminal metadata value was received. + code: The code value from the other side of the RPC or None if no code value + was received. + details: The details value from the other side of the RPC or None if no + details value was received. + """ + + def __init__(self, initial_metadata, terminal_metadata, code, details): + super(AbortionError, self).__init__() + self.initial_metadata = initial_metadata + self.terminal_metadata = terminal_metadata + self.code = code + self.details = details + + def __str__(self): + return '%s(code=%s, details="%s")' % ( + self.__class__.__name__, + self.code, + self.details, + ) + + +class CancellationError(AbortionError): + """Indicates that an RPC has been cancelled.""" + + +class ExpirationError(AbortionError): + """Indicates that an RPC has expired ("timed out").""" + + +class LocalShutdownError(AbortionError): + """Indicates that an RPC has terminated due to local shutdown of RPCs.""" + + +class RemoteShutdownError(AbortionError): + """Indicates that an RPC has terminated due to remote shutdown of RPCs.""" + + +class NetworkError(AbortionError): + """Indicates that some error occurred on the network.""" + + +class LocalError(AbortionError): + """Indicates that an RPC has terminated due to a local defect.""" + + +class RemoteError(AbortionError): + """Indicates that an RPC has terminated due to a remote defect.""" + + +class RpcContext(abc.ABC): + """Provides RPC-related information and action.""" + + @abc.abstractmethod + def is_active(self): + """Describes whether the RPC is active or has terminated.""" + raise NotImplementedError() + + @abc.abstractmethod + def time_remaining(self): + """Describes the length of allowed time remaining for the RPC. + + Returns: + A nonnegative float indicating the length of allowed time in seconds + remaining for the RPC to complete before it is considered to have timed + out. + """ + raise NotImplementedError() + + @abc.abstractmethod + def add_abortion_callback(self, abortion_callback): + """Registers a callback to be called if the RPC is aborted. + + Args: + abortion_callback: A callable to be called and passed an Abortion value + in the event of RPC abortion. + """ + raise NotImplementedError() + + @abc.abstractmethod + def cancel(self): + """Cancels the RPC. + + Idempotent and has no effect if the RPC has already terminated. + """ + raise NotImplementedError() + + @abc.abstractmethod + def protocol_context(self): + """Accesses a custom object specified by an implementation provider. + + Returns: + A value specified by the provider of a Face interface implementation + affording custom state and behavior. + """ + raise NotImplementedError() + + +class Call(RpcContext, metaclass=abc.ABCMeta): + """Invocation-side utility object for an RPC.""" + + @abc.abstractmethod + def initial_metadata(self): + """Accesses the initial metadata from the service-side of the RPC. + + This method blocks until the value is available or is known not to have been + emitted from the service-side of the RPC. + + Returns: + The initial metadata object emitted by the service-side of the RPC, or + None if there was no such value. + """ + raise NotImplementedError() + + @abc.abstractmethod + def terminal_metadata(self): + """Accesses the terminal metadata from the service-side of the RPC. + + This method blocks until the value is available or is known not to have been + emitted from the service-side of the RPC. + + Returns: + The terminal metadata object emitted by the service-side of the RPC, or + None if there was no such value. + """ + raise NotImplementedError() + + @abc.abstractmethod + def code(self): + """Accesses the code emitted by the service-side of the RPC. + + This method blocks until the value is available or is known not to have been + emitted from the service-side of the RPC. + + Returns: + The code object emitted by the service-side of the RPC, or None if there + was no such value. + """ + raise NotImplementedError() + + @abc.abstractmethod + def details(self): + """Accesses the details value emitted by the service-side of the RPC. + + This method blocks until the value is available or is known not to have been + emitted from the service-side of the RPC. + + Returns: + The details value emitted by the service-side of the RPC, or None if there + was no such value. + """ + raise NotImplementedError() + + +class ServicerContext(RpcContext, metaclass=abc.ABCMeta): + """A context object passed to method implementations.""" + + @abc.abstractmethod + def invocation_metadata(self): + """Accesses the metadata from the invocation-side of the RPC. + + This method blocks until the value is available or is known not to have been + emitted from the invocation-side of the RPC. + + Returns: + The metadata object emitted by the invocation-side of the RPC, or None if + there was no such value. + """ + raise NotImplementedError() + + @abc.abstractmethod + def initial_metadata(self, initial_metadata): + """Accepts the service-side initial metadata value of the RPC. + + This method need not be called by method implementations if they have no + service-side initial metadata to transmit. + + Args: + initial_metadata: The service-side initial metadata value of the RPC to + be transmitted to the invocation side of the RPC. + """ + raise NotImplementedError() + + @abc.abstractmethod + def terminal_metadata(self, terminal_metadata): + """Accepts the service-side terminal metadata value of the RPC. + + This method need not be called by method implementations if they have no + service-side terminal metadata to transmit. + + Args: + terminal_metadata: The service-side terminal metadata value of the RPC to + be transmitted to the invocation side of the RPC. + """ + raise NotImplementedError() + + @abc.abstractmethod + def code(self, code): + """Accepts the service-side code of the RPC. + + This method need not be called by method implementations if they have no + code to transmit. + + Args: + code: The code of the RPC to be transmitted to the invocation side of the + RPC. + """ + raise NotImplementedError() + + @abc.abstractmethod + def details(self, details): + """Accepts the service-side details of the RPC. + + This method need not be called by method implementations if they have no + service-side details to transmit. + + Args: + details: The service-side details value of the RPC to be transmitted to + the invocation side of the RPC. + """ + raise NotImplementedError() + + +class ResponseReceiver(abc.ABC): + """Invocation-side object used to accept the output of an RPC.""" + + @abc.abstractmethod + def initial_metadata(self, initial_metadata): + """Receives the initial metadata from the service-side of the RPC. + + Args: + initial_metadata: The initial metadata object emitted from the + service-side of the RPC. + """ + raise NotImplementedError() + + @abc.abstractmethod + def response(self, response): + """Receives a response from the service-side of the RPC. + + Args: + response: A response object emitted from the service-side of the RPC. + """ + raise NotImplementedError() + + @abc.abstractmethod + def complete(self, terminal_metadata, code, details): + """Receives the completion values emitted from the service-side of the RPC. + + Args: + terminal_metadata: The terminal metadata object emitted from the + service-side of the RPC. + code: The code object emitted from the service-side of the RPC. + details: The details object emitted from the service-side of the RPC. + """ + raise NotImplementedError() + + +class UnaryUnaryMultiCallable(abc.ABC): + """Affords invoking a unary-unary RPC in any call style.""" + + @abc.abstractmethod + def __call__( + self, + request, + timeout, + metadata=None, + with_call=False, + protocol_options=None, + ): + """Synchronously invokes the underlying RPC. + + Args: + request: The request value for the RPC. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of + the RPC. + with_call: Whether or not to include return a Call for the RPC in addition + to the response. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + The response value for the RPC, and a Call for the RPC if with_call was + set to True at invocation. + + Raises: + AbortionError: Indicating that the RPC was aborted. + """ + raise NotImplementedError() + + @abc.abstractmethod + def future(self, request, timeout, metadata=None, protocol_options=None): + """Asynchronously invokes the underlying RPC. + + Args: + request: The request value for the RPC. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of + the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + An object that is both a Call for the RPC and a future.Future. In the + event of RPC completion, the return Future's result value will be the + response value of the RPC. In the event of RPC abortion, the returned + Future's exception value will be an AbortionError. + """ + raise NotImplementedError() + + @abc.abstractmethod + def event( + self, + request, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + """Asynchronously invokes the underlying RPC. + + Args: + request: The request value for the RPC. + receiver: A ResponseReceiver to be passed the response data of the RPC. + abortion_callback: A callback to be called and passed an Abortion value + in the event of RPC abortion. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of + the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + A Call for the RPC. + """ + raise NotImplementedError() + + +class UnaryStreamMultiCallable(abc.ABC): + """Affords invoking a unary-stream RPC in any call style.""" + + @abc.abstractmethod + def __call__(self, request, timeout, metadata=None, protocol_options=None): + """Invokes the underlying RPC. + + Args: + request: The request value for the RPC. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of + the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + An object that is both a Call for the RPC and an iterator of response + values. Drawing response values from the returned iterator may raise + AbortionError indicating abortion of the RPC. + """ + raise NotImplementedError() + + @abc.abstractmethod + def event( + self, + request, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + """Asynchronously invokes the underlying RPC. + + Args: + request: The request value for the RPC. + receiver: A ResponseReceiver to be passed the response data of the RPC. + abortion_callback: A callback to be called and passed an Abortion value + in the event of RPC abortion. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of + the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + A Call object for the RPC. + """ + raise NotImplementedError() + + +class StreamUnaryMultiCallable(abc.ABC): + """Affords invoking a stream-unary RPC in any call style.""" + + @abc.abstractmethod + def __call__( + self, + request_iterator, + timeout, + metadata=None, + with_call=False, + protocol_options=None, + ): + """Synchronously invokes the underlying RPC. + + Args: + request_iterator: An iterator that yields request values for the RPC. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of + the RPC. + with_call: Whether or not to include return a Call for the RPC in addition + to the response. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + The response value for the RPC, and a Call for the RPC if with_call was + set to True at invocation. + + Raises: + AbortionError: Indicating that the RPC was aborted. + """ + raise NotImplementedError() + + @abc.abstractmethod + def future( + self, request_iterator, timeout, metadata=None, protocol_options=None + ): + """Asynchronously invokes the underlying RPC. + + Args: + request_iterator: An iterator that yields request values for the RPC. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of + the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + An object that is both a Call for the RPC and a future.Future. In the + event of RPC completion, the return Future's result value will be the + response value of the RPC. In the event of RPC abortion, the returned + Future's exception value will be an AbortionError. + """ + raise NotImplementedError() + + @abc.abstractmethod + def event( + self, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + """Asynchronously invokes the underlying RPC. + + Args: + receiver: A ResponseReceiver to be passed the response data of the RPC. + abortion_callback: A callback to be called and passed an Abortion value + in the event of RPC abortion. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of + the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + A single object that is both a Call object for the RPC and a + stream.Consumer to which the request values of the RPC should be passed. + """ + raise NotImplementedError() + + +class StreamStreamMultiCallable(abc.ABC): + """Affords invoking a stream-stream RPC in any call style.""" + + @abc.abstractmethod + def __call__( + self, request_iterator, timeout, metadata=None, protocol_options=None + ): + """Invokes the underlying RPC. + + Args: + request_iterator: An iterator that yields request values for the RPC. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of + the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + An object that is both a Call for the RPC and an iterator of response + values. Drawing response values from the returned iterator may raise + AbortionError indicating abortion of the RPC. + """ + raise NotImplementedError() + + @abc.abstractmethod + def event( + self, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + """Asynchronously invokes the underlying RPC. + + Args: + receiver: A ResponseReceiver to be passed the response data of the RPC. + abortion_callback: A callback to be called and passed an Abortion value + in the event of RPC abortion. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of + the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + A single object that is both a Call object for the RPC and a + stream.Consumer to which the request values of the RPC should be passed. + """ + raise NotImplementedError() + + +class MethodImplementation(abc.ABC): + """A sum type that describes a method implementation. + + Attributes: + cardinality: A cardinality.Cardinality value. + style: A style.Service value. + unary_unary_inline: The implementation of the method as a callable value + that takes a request value and a ServicerContext object and returns a + response value. Only non-None if cardinality is + cardinality.Cardinality.UNARY_UNARY and style is style.Service.INLINE. + unary_stream_inline: The implementation of the method as a callable value + that takes a request value and a ServicerContext object and returns an + iterator of response values. Only non-None if cardinality is + cardinality.Cardinality.UNARY_STREAM and style is style.Service.INLINE. + stream_unary_inline: The implementation of the method as a callable value + that takes an iterator of request values and a ServicerContext object and + returns a response value. Only non-None if cardinality is + cardinality.Cardinality.STREAM_UNARY and style is style.Service.INLINE. + stream_stream_inline: The implementation of the method as a callable value + that takes an iterator of request values and a ServicerContext object and + returns an iterator of response values. Only non-None if cardinality is + cardinality.Cardinality.STREAM_STREAM and style is style.Service.INLINE. + unary_unary_event: The implementation of the method as a callable value that + takes a request value, a response callback to which to pass the response + value of the RPC, and a ServicerContext. Only non-None if cardinality is + cardinality.Cardinality.UNARY_UNARY and style is style.Service.EVENT. + unary_stream_event: The implementation of the method as a callable value + that takes a request value, a stream.Consumer to which to pass the + response values of the RPC, and a ServicerContext. Only non-None if + cardinality is cardinality.Cardinality.UNARY_STREAM and style is + style.Service.EVENT. + stream_unary_event: The implementation of the method as a callable value + that takes a response callback to which to pass the response value of the + RPC and a ServicerContext and returns a stream.Consumer to which the + request values of the RPC should be passed. Only non-None if cardinality + is cardinality.Cardinality.STREAM_UNARY and style is style.Service.EVENT. + stream_stream_event: The implementation of the method as a callable value + that takes a stream.Consumer to which to pass the response values of the + RPC and a ServicerContext and returns a stream.Consumer to which the + request values of the RPC should be passed. Only non-None if cardinality + is cardinality.Cardinality.STREAM_STREAM and style is + style.Service.EVENT. + """ + + +class MultiMethodImplementation(abc.ABC): + """A general type able to service many methods.""" + + @abc.abstractmethod + def service(self, group, method, response_consumer, context): + """Services an RPC. + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + response_consumer: A stream.Consumer to be called to accept the response + values of the RPC. + context: a ServicerContext object. + + Returns: + A stream.Consumer with which to accept the request values of the RPC. The + consumer returned from this method may or may not be invoked to + completion: in the case of RPC abortion, RPC Framework will simply stop + passing values to this object. Implementations must not assume that this + object will be called to completion of the request stream or even called + at all. + + Raises: + abandonment.Abandoned: May or may not be raised when the RPC has been + aborted. + NoSuchMethodError: If this MultiMethod does not recognize the given group + and name for the RPC and is not able to service the RPC. + """ + raise NotImplementedError() + + +class GenericStub(abc.ABC): + """Affords RPC invocation via generic methods.""" + + @abc.abstractmethod + def blocking_unary_unary( + self, + group, + method, + request, + timeout, + metadata=None, + with_call=False, + protocol_options=None, + ): + """Invokes a unary-request-unary-response method. + + This method blocks until either returning the response value of the RPC + (in the event of RPC completion) or raising an exception (in the event of + RPC abortion). + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + request: The request value for the RPC. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of the RPC. + with_call: Whether or not to include return a Call for the RPC in addition + to the response. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + The response value for the RPC, and a Call for the RPC if with_call was + set to True at invocation. + + Raises: + AbortionError: Indicating that the RPC was aborted. + """ + raise NotImplementedError() + + @abc.abstractmethod + def future_unary_unary( + self, + group, + method, + request, + timeout, + metadata=None, + protocol_options=None, + ): + """Invokes a unary-request-unary-response method. + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + request: The request value for the RPC. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + An object that is both a Call for the RPC and a future.Future. In the + event of RPC completion, the return Future's result value will be the + response value of the RPC. In the event of RPC abortion, the returned + Future's exception value will be an AbortionError. + """ + raise NotImplementedError() + + @abc.abstractmethod + def inline_unary_stream( + self, + group, + method, + request, + timeout, + metadata=None, + protocol_options=None, + ): + """Invokes a unary-request-stream-response method. + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + request: The request value for the RPC. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + An object that is both a Call for the RPC and an iterator of response + values. Drawing response values from the returned iterator may raise + AbortionError indicating abortion of the RPC. + """ + raise NotImplementedError() + + @abc.abstractmethod + def blocking_stream_unary( + self, + group, + method, + request_iterator, + timeout, + metadata=None, + with_call=False, + protocol_options=None, + ): + """Invokes a stream-request-unary-response method. + + This method blocks until either returning the response value of the RPC + (in the event of RPC completion) or raising an exception (in the event of + RPC abortion). + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + request_iterator: An iterator that yields request values for the RPC. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of the RPC. + with_call: Whether or not to include return a Call for the RPC in addition + to the response. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + The response value for the RPC, and a Call for the RPC if with_call was + set to True at invocation. + + Raises: + AbortionError: Indicating that the RPC was aborted. + """ + raise NotImplementedError() + + @abc.abstractmethod + def future_stream_unary( + self, + group, + method, + request_iterator, + timeout, + metadata=None, + protocol_options=None, + ): + """Invokes a stream-request-unary-response method. + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + request_iterator: An iterator that yields request values for the RPC. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + An object that is both a Call for the RPC and a future.Future. In the + event of RPC completion, the return Future's result value will be the + response value of the RPC. In the event of RPC abortion, the returned + Future's exception value will be an AbortionError. + """ + raise NotImplementedError() + + @abc.abstractmethod + def inline_stream_stream( + self, + group, + method, + request_iterator, + timeout, + metadata=None, + protocol_options=None, + ): + """Invokes a stream-request-stream-response method. + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + request_iterator: An iterator that yields request values for the RPC. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + An object that is both a Call for the RPC and an iterator of response + values. Drawing response values from the returned iterator may raise + AbortionError indicating abortion of the RPC. + """ + raise NotImplementedError() + + @abc.abstractmethod + def event_unary_unary( + self, + group, + method, + request, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + """Event-driven invocation of a unary-request-unary-response method. + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + request: The request value for the RPC. + receiver: A ResponseReceiver to be passed the response data of the RPC. + abortion_callback: A callback to be called and passed an Abortion value + in the event of RPC abortion. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + A Call for the RPC. + """ + raise NotImplementedError() + + @abc.abstractmethod + def event_unary_stream( + self, + group, + method, + request, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + """Event-driven invocation of a unary-request-stream-response method. + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + request: The request value for the RPC. + receiver: A ResponseReceiver to be passed the response data of the RPC. + abortion_callback: A callback to be called and passed an Abortion value + in the event of RPC abortion. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + A Call for the RPC. + """ + raise NotImplementedError() + + @abc.abstractmethod + def event_stream_unary( + self, + group, + method, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + """Event-driven invocation of a unary-request-unary-response method. + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + receiver: A ResponseReceiver to be passed the response data of the RPC. + abortion_callback: A callback to be called and passed an Abortion value + in the event of RPC abortion. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + A pair of a Call object for the RPC and a stream.Consumer to which the + request values of the RPC should be passed. + """ + raise NotImplementedError() + + @abc.abstractmethod + def event_stream_stream( + self, + group, + method, + receiver, + abortion_callback, + timeout, + metadata=None, + protocol_options=None, + ): + """Event-driven invocation of a unary-request-stream-response method. + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + receiver: A ResponseReceiver to be passed the response data of the RPC. + abortion_callback: A callback to be called and passed an Abortion value + in the event of RPC abortion. + timeout: A duration of time in seconds to allow for the RPC. + metadata: A metadata value to be passed to the service-side of the RPC. + protocol_options: A value specified by the provider of a Face interface + implementation affording custom state and behavior. + + Returns: + A pair of a Call object for the RPC and a stream.Consumer to which the + request values of the RPC should be passed. + """ + raise NotImplementedError() + + @abc.abstractmethod + def unary_unary(self, group, method): + """Creates a UnaryUnaryMultiCallable for a unary-unary method. + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + + Returns: + A UnaryUnaryMultiCallable value for the named unary-unary method. + """ + raise NotImplementedError() + + @abc.abstractmethod + def unary_stream(self, group, method): + """Creates a UnaryStreamMultiCallable for a unary-stream method. + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + + Returns: + A UnaryStreamMultiCallable value for the name unary-stream method. + """ + raise NotImplementedError() + + @abc.abstractmethod + def stream_unary(self, group, method): + """Creates a StreamUnaryMultiCallable for a stream-unary method. + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + + Returns: + A StreamUnaryMultiCallable value for the named stream-unary method. + """ + raise NotImplementedError() + + @abc.abstractmethod + def stream_stream(self, group, method): + """Creates a StreamStreamMultiCallable for a stream-stream method. + + Args: + group: The group identifier of the RPC. + method: The method identifier of the RPC. + + Returns: + A StreamStreamMultiCallable value for the named stream-stream method. + """ + raise NotImplementedError() + + +class DynamicStub(abc.ABC): + """Affords RPC invocation via attributes corresponding to afforded methods. + + Instances of this type may be scoped to a single group so that attribute + access is unambiguous. + + Instances of this type respond to attribute access as follows: if the + requested attribute is the name of a unary-unary method, the value of the + attribute will be a UnaryUnaryMultiCallable with which to invoke an RPC; if + the requested attribute is the name of a unary-stream method, the value of the + attribute will be a UnaryStreamMultiCallable with which to invoke an RPC; if + the requested attribute is the name of a stream-unary method, the value of the + attribute will be a StreamUnaryMultiCallable with which to invoke an RPC; and + if the requested attribute is the name of a stream-stream method, the value of + the attribute will be a StreamStreamMultiCallable with which to invoke an RPC. + """ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/face/utilities.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/face/utilities.py new file mode 100644 index 0000000000000000000000000000000000000000..b02ea530963147242af170ae895c9e7ba152592a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/grpc/framework/interfaces/face/utilities.py @@ -0,0 +1,245 @@ +# Copyright 2015 gRPC authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Utilities for RPC Framework's Face interface.""" + +import collections + +# stream is referenced from specification in this module. +from grpc.framework.common import cardinality +from grpc.framework.common import style +from grpc.framework.foundation import stream # pylint: disable=unused-import +from grpc.framework.interfaces.face import face + + +class _MethodImplementation( + face.MethodImplementation, + collections.namedtuple( + "_MethodImplementation", + [ + "cardinality", + "style", + "unary_unary_inline", + "unary_stream_inline", + "stream_unary_inline", + "stream_stream_inline", + "unary_unary_event", + "unary_stream_event", + "stream_unary_event", + "stream_stream_event", + ], + ), +): + pass + + +def unary_unary_inline(behavior): + """Creates an face.MethodImplementation for the given behavior. + + Args: + behavior: The implementation of a unary-unary RPC method as a callable value + that takes a request value and an face.ServicerContext object and + returns a response value. + + Returns: + An face.MethodImplementation derived from the given behavior. + """ + return _MethodImplementation( + cardinality.Cardinality.UNARY_UNARY, + style.Service.INLINE, + behavior, + None, + None, + None, + None, + None, + None, + None, + ) + + +def unary_stream_inline(behavior): + """Creates an face.MethodImplementation for the given behavior. + + Args: + behavior: The implementation of a unary-stream RPC method as a callable + value that takes a request value and an face.ServicerContext object and + returns an iterator of response values. + + Returns: + An face.MethodImplementation derived from the given behavior. + """ + return _MethodImplementation( + cardinality.Cardinality.UNARY_STREAM, + style.Service.INLINE, + None, + behavior, + None, + None, + None, + None, + None, + None, + ) + + +def stream_unary_inline(behavior): + """Creates an face.MethodImplementation for the given behavior. + + Args: + behavior: The implementation of a stream-unary RPC method as a callable + value that takes an iterator of request values and an + face.ServicerContext object and returns a response value. + + Returns: + An face.MethodImplementation derived from the given behavior. + """ + return _MethodImplementation( + cardinality.Cardinality.STREAM_UNARY, + style.Service.INLINE, + None, + None, + behavior, + None, + None, + None, + None, + None, + ) + + +def stream_stream_inline(behavior): + """Creates an face.MethodImplementation for the given behavior. + + Args: + behavior: The implementation of a stream-stream RPC method as a callable + value that takes an iterator of request values and an + face.ServicerContext object and returns an iterator of response values. + + Returns: + An face.MethodImplementation derived from the given behavior. + """ + return _MethodImplementation( + cardinality.Cardinality.STREAM_STREAM, + style.Service.INLINE, + None, + None, + None, + behavior, + None, + None, + None, + None, + ) + + +def unary_unary_event(behavior): + """Creates an face.MethodImplementation for the given behavior. + + Args: + behavior: The implementation of a unary-unary RPC method as a callable + value that takes a request value, a response callback to which to pass + the response value of the RPC, and an face.ServicerContext. + + Returns: + An face.MethodImplementation derived from the given behavior. + """ + return _MethodImplementation( + cardinality.Cardinality.UNARY_UNARY, + style.Service.EVENT, + None, + None, + None, + None, + behavior, + None, + None, + None, + ) + + +def unary_stream_event(behavior): + """Creates an face.MethodImplementation for the given behavior. + + Args: + behavior: The implementation of a unary-stream RPC method as a callable + value that takes a request value, a stream.Consumer to which to pass the + response values of the RPC, and an face.ServicerContext. + + Returns: + An face.MethodImplementation derived from the given behavior. + """ + return _MethodImplementation( + cardinality.Cardinality.UNARY_STREAM, + style.Service.EVENT, + None, + None, + None, + None, + None, + behavior, + None, + None, + ) + + +def stream_unary_event(behavior): + """Creates an face.MethodImplementation for the given behavior. + + Args: + behavior: The implementation of a stream-unary RPC method as a callable + value that takes a response callback to which to pass the response value + of the RPC and an face.ServicerContext and returns a stream.Consumer to + which the request values of the RPC should be passed. + + Returns: + An face.MethodImplementation derived from the given behavior. + """ + return _MethodImplementation( + cardinality.Cardinality.STREAM_UNARY, + style.Service.EVENT, + None, + None, + None, + None, + None, + None, + behavior, + None, + ) + + +def stream_stream_event(behavior): + """Creates an face.MethodImplementation for the given behavior. + + Args: + behavior: The implementation of a stream-stream RPC method as a callable + value that takes a stream.Consumer to which to pass the response values + of the RPC and an face.ServicerContext and returns a stream.Consumer to + which the request values of the RPC should be passed. + + Returns: + An face.MethodImplementation derived from the given behavior. + """ + return _MethodImplementation( + cardinality.Cardinality.STREAM_STREAM, + style.Service.EVENT, + None, + None, + None, + None, + None, + None, + None, + behavior, + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/__pycache__/__init__.cpython-312.pyc 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0000000000000000000000000000000000000000..9bf7a4f0f1a034d5fcedeaf1e8b5bea447ec5c07 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/app/base.py @@ -0,0 +1,235 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. +import importlib.util +import importlib.machinery +import os +import sys +import traceback + +from gunicorn import util +from gunicorn.arbiter import Arbiter +from gunicorn.config import Config, get_default_config_file +from gunicorn import debug + + +class BaseApplication: + """ + An application interface for configuring and loading + the various necessities for any given web framework. + """ + def __init__(self, usage=None, prog=None): + self.usage = usage + self.cfg = None + self.callable = None + self.prog = prog + self.logger = None + self.do_load_config() + + def do_load_config(self): + """ + Loads the configuration + """ + try: + self.load_default_config() + self.load_config() + except Exception as e: + print("\nError: %s" % str(e), file=sys.stderr) + sys.stderr.flush() + sys.exit(1) + + def load_default_config(self): + # init configuration + self.cfg = Config(self.usage, prog=self.prog) + + def init(self, parser, opts, args): + raise NotImplementedError + + def load(self): + raise NotImplementedError + + def load_config(self): + """ + This method is used to load the configuration from one or several input(s). + Custom Command line, configuration file. + You have to override this method in your class. + """ + raise NotImplementedError + + def reload(self): + self.do_load_config() + if self.cfg.spew: + debug.spew() + + def wsgi(self): + if self.callable is None: + self.callable = self.load() + return self.callable + + def run(self): + try: + Arbiter(self).run() + except RuntimeError as e: + print("\nError: %s\n" % e, file=sys.stderr) + sys.stderr.flush() + sys.exit(1) + + +class Application(BaseApplication): + + # 'init' and 'load' methods are implemented by WSGIApplication. + # pylint: disable=abstract-method + + def chdir(self): + # chdir to the configured path before loading, + # default is the current dir + os.chdir(self.cfg.chdir) + + # add the path to sys.path + if self.cfg.chdir not in sys.path: + sys.path.insert(0, self.cfg.chdir) + + def get_config_from_filename(self, filename): + + if not os.path.exists(filename): + raise RuntimeError("%r doesn't exist" % filename) + + ext = os.path.splitext(filename)[1] + + try: + module_name = '__config__' + if ext in [".py", ".pyc"]: + spec = importlib.util.spec_from_file_location(module_name, filename) + else: + msg = "configuration file should have a valid Python extension.\n" + util.warn(msg) + loader_ = importlib.machinery.SourceFileLoader(module_name, filename) + spec = importlib.util.spec_from_file_location(module_name, filename, loader=loader_) + mod = importlib.util.module_from_spec(spec) + sys.modules[module_name] = mod + spec.loader.exec_module(mod) + except Exception: + print("Failed to read config file: %s" % filename, file=sys.stderr) + traceback.print_exc() + sys.stderr.flush() + sys.exit(1) + + return vars(mod) + + def get_config_from_module_name(self, module_name): + return vars(importlib.import_module(module_name)) + + def load_config_from_module_name_or_filename(self, location): + """ + Loads the configuration file: the file is a python file, otherwise raise an RuntimeError + Exception or stop the process if the configuration file contains a syntax error. + """ + + if location.startswith("python:"): + module_name = location[len("python:"):] + cfg = self.get_config_from_module_name(module_name) + else: + if location.startswith("file:"): + filename = location[len("file:"):] + else: + filename = location + cfg = self.get_config_from_filename(filename) + + for k, v in cfg.items(): + # Ignore unknown names + if k not in self.cfg.settings: + continue + try: + self.cfg.set(k.lower(), v) + except Exception: + print("Invalid value for %s: %s\n" % (k, v), file=sys.stderr) + sys.stderr.flush() + raise + + return cfg + + def load_config_from_file(self, filename): + return self.load_config_from_module_name_or_filename(location=filename) + + def load_config(self): + # parse console args + parser = self.cfg.parser() + args = parser.parse_args() + + # optional settings from apps + cfg = self.init(parser, args, args.args) + + # set up import paths and follow symlinks + self.chdir() + + # Load up the any app specific configuration + if cfg: + for k, v in cfg.items(): + self.cfg.set(k.lower(), v) + + env_args = parser.parse_args(self.cfg.get_cmd_args_from_env()) + + if args.config: + self.load_config_from_file(args.config) + elif env_args.config: + self.load_config_from_file(env_args.config) + else: + default_config = get_default_config_file() + if default_config is not None: + self.load_config_from_file(default_config) + + # Load up environment configuration + for k, v in vars(env_args).items(): + if v is None: + continue + if k == "args": + continue + self.cfg.set(k.lower(), v) + + # Lastly, update the configuration with any command line settings. + for k, v in vars(args).items(): + if v is None: + continue + if k == "args": + continue + self.cfg.set(k.lower(), v) + + # current directory might be changed by the config now + # set up import paths and follow symlinks + self.chdir() + + def run(self): + if self.cfg.print_config: + print(self.cfg) + + if self.cfg.print_config or self.cfg.check_config: + try: + self.load() + except Exception: + msg = "\nError while loading the application:\n" + print(msg, file=sys.stderr) + traceback.print_exc() + sys.stderr.flush() + sys.exit(1) + sys.exit(0) + + if self.cfg.spew: + debug.spew() + + if self.cfg.daemon: + if os.environ.get('NOTIFY_SOCKET'): + msg = "Warning: you shouldn't specify `daemon = True`" \ + " when launching by systemd with `Type = notify`" + print(msg, file=sys.stderr, flush=True) + + util.daemonize(self.cfg.enable_stdio_inheritance) + + # set python paths + if self.cfg.pythonpath: + paths = self.cfg.pythonpath.split(",") + for path in paths: + pythonpath = os.path.abspath(path) + if pythonpath not in sys.path: + sys.path.insert(0, pythonpath) + + super().run() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/app/pasterapp.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/app/pasterapp.py new file mode 100644 index 0000000000000000000000000000000000000000..b1738f250099540c1947fe8d6b821d6b196ede29 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/app/pasterapp.py @@ -0,0 +1,74 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +import configparser +import os + +from paste.deploy import loadapp + +from gunicorn.app.wsgiapp import WSGIApplication +from gunicorn.config import get_default_config_file + + +def get_wsgi_app(config_uri, name=None, defaults=None): + if ':' not in config_uri: + config_uri = "config:%s" % config_uri + + return loadapp( + config_uri, + name=name, + relative_to=os.getcwd(), + global_conf=defaults, + ) + + +def has_logging_config(config_file): + parser = configparser.ConfigParser() + parser.read([config_file]) + return parser.has_section('loggers') + + +def serve(app, global_conf, **local_conf): + """\ + A Paste Deployment server runner. + + Example configuration: + + [server:main] + use = egg:gunicorn#main + host = 127.0.0.1 + port = 5000 + """ + config_file = global_conf['__file__'] + gunicorn_config_file = local_conf.pop('config', None) + + host = local_conf.pop('host', '') + port = local_conf.pop('port', '') + if host and port: + local_conf['bind'] = '%s:%s' % (host, port) + elif host: + local_conf['bind'] = host.split(',') + + class PasterServerApplication(WSGIApplication): + def load_config(self): + self.cfg.set("default_proc_name", config_file) + + if has_logging_config(config_file): + self.cfg.set("logconfig", config_file) + + if gunicorn_config_file: + self.load_config_from_file(gunicorn_config_file) + else: + default_gunicorn_config_file = get_default_config_file() + if default_gunicorn_config_file is not None: + self.load_config_from_file(default_gunicorn_config_file) + + for k, v in local_conf.items(): + if v is not None: + self.cfg.set(k.lower(), v) + + def load(self): + return app + + PasterServerApplication().run() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/app/wsgiapp.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/app/wsgiapp.py new file mode 100644 index 0000000000000000000000000000000000000000..1b0ba969d1561e82bbf8e877307b4fa0203bb0a2 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/app/wsgiapp.py @@ -0,0 +1,70 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +import os + +from gunicorn.errors import ConfigError +from gunicorn.app.base import Application +from gunicorn import util + + +class WSGIApplication(Application): + def init(self, parser, opts, args): + self.app_uri = None + + if opts.paste: + from .pasterapp import has_logging_config + + config_uri = os.path.abspath(opts.paste) + config_file = config_uri.split('#')[0] + + if not os.path.exists(config_file): + raise ConfigError("%r not found" % config_file) + + self.cfg.set("default_proc_name", config_file) + self.app_uri = config_uri + + if has_logging_config(config_file): + self.cfg.set("logconfig", config_file) + + return + + if len(args) > 0: + self.cfg.set("default_proc_name", args[0]) + self.app_uri = args[0] + + def load_config(self): + super().load_config() + + if self.app_uri is None: + if self.cfg.wsgi_app is not None: + self.app_uri = self.cfg.wsgi_app + else: + raise ConfigError("No application module specified.") + + def load_wsgiapp(self): + return util.import_app(self.app_uri) + + def load_pasteapp(self): + from .pasterapp import get_wsgi_app + return get_wsgi_app(self.app_uri, defaults=self.cfg.paste_global_conf) + + def load(self): + if self.cfg.paste is not None: + return self.load_pasteapp() + else: + return self.load_wsgiapp() + + +def run(prog=None): + """\ + The ``gunicorn`` command line runner for launching Gunicorn with + generic WSGI applications. + """ + from gunicorn.app.wsgiapp import WSGIApplication + WSGIApplication("%(prog)s [OPTIONS] [APP_MODULE]", prog=prog).run() + + +if __name__ == '__main__': + run() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..11473bb0a64f27dfc9d78711c8a100bc10e57ae8 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/__init__.py @@ -0,0 +1,8 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +from gunicorn.http.message import Message, Request +from gunicorn.http.parser import RequestParser + +__all__ = ['Message', 'Request', 'RequestParser'] diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 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0000000000000000000000000000000000000000..d7ee29e783cab1ae6bed5cfbd5fbd5837a11401b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/body.py @@ -0,0 +1,268 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +import io +import sys + +from gunicorn.http.errors import (NoMoreData, ChunkMissingTerminator, + InvalidChunkSize) + + +class ChunkedReader: + def __init__(self, req, unreader): + self.req = req + self.parser = self.parse_chunked(unreader) + self.buf = io.BytesIO() + + def read(self, size): + if not isinstance(size, int): + raise TypeError("size must be an integer type") + if size < 0: + raise ValueError("Size must be positive.") + if size == 0: + return b"" + + if self.parser: + while self.buf.tell() < size: + try: + self.buf.write(next(self.parser)) + except StopIteration: + self.parser = None + break + + data = self.buf.getvalue() + ret, rest = data[:size], data[size:] + self.buf = io.BytesIO() + self.buf.write(rest) + return ret + + def parse_trailers(self, unreader, data): + buf = io.BytesIO() + buf.write(data) + + idx = buf.getvalue().find(b"\r\n\r\n") + done = buf.getvalue()[:2] == b"\r\n" + while idx < 0 and not done: + self.get_data(unreader, buf) + idx = buf.getvalue().find(b"\r\n\r\n") + done = buf.getvalue()[:2] == b"\r\n" + if done: + unreader.unread(buf.getvalue()[2:]) + return b"" + self.req.trailers = self.req.parse_headers(buf.getvalue()[:idx], from_trailer=True) + unreader.unread(buf.getvalue()[idx + 4:]) + + def parse_chunked(self, unreader): + (size, rest) = self.parse_chunk_size(unreader) + while size > 0: + while size > len(rest): + size -= len(rest) + yield rest + rest = unreader.read() + if not rest: + raise NoMoreData() + yield rest[:size] + # Remove \r\n after chunk + rest = rest[size:] + while len(rest) < 2: + new_data = unreader.read() + if not new_data: + break + rest += new_data + if rest[:2] != b'\r\n': + raise ChunkMissingTerminator(rest[:2]) + (size, rest) = self.parse_chunk_size(unreader, data=rest[2:]) + + def parse_chunk_size(self, unreader, data=None): + buf = io.BytesIO() + if data is not None: + buf.write(data) + + idx = buf.getvalue().find(b"\r\n") + while idx < 0: + self.get_data(unreader, buf) + idx = buf.getvalue().find(b"\r\n") + + data = buf.getvalue() + line, rest_chunk = data[:idx], data[idx + 2:] + + # RFC9112 7.1.1: BWS before chunk-ext - but ONLY then + chunk_size, *chunk_ext = line.split(b";", 1) + if chunk_ext: + chunk_size = chunk_size.rstrip(b" \t") + if any(n not in b"0123456789abcdefABCDEF" for n in chunk_size): + raise InvalidChunkSize(chunk_size) + if len(chunk_size) == 0: + raise InvalidChunkSize(chunk_size) + chunk_size = int(chunk_size, 16) + + if chunk_size == 0: + try: + self.parse_trailers(unreader, rest_chunk) + except NoMoreData: + pass + return (0, None) + return (chunk_size, rest_chunk) + + def get_data(self, unreader, buf): + data = unreader.read() + if not data: + raise NoMoreData() + buf.write(data) + + +class LengthReader: + def __init__(self, unreader, length): + self.unreader = unreader + self.length = length + + def read(self, size): + if not isinstance(size, int): + raise TypeError("size must be an integral type") + + size = min(self.length, size) + if size < 0: + raise ValueError("Size must be positive.") + if size == 0: + return b"" + + buf = io.BytesIO() + data = self.unreader.read() + while data: + buf.write(data) + if buf.tell() >= size: + break + data = self.unreader.read() + + buf = buf.getvalue() + ret, rest = buf[:size], buf[size:] + self.unreader.unread(rest) + self.length -= size + return ret + + +class EOFReader: + def __init__(self, unreader): + self.unreader = unreader + self.buf = io.BytesIO() + self.finished = False + + def read(self, size): + if not isinstance(size, int): + raise TypeError("size must be an integral type") + if size < 0: + raise ValueError("Size must be positive.") + if size == 0: + return b"" + + if self.finished: + data = self.buf.getvalue() + ret, rest = data[:size], data[size:] + self.buf = io.BytesIO() + self.buf.write(rest) + return ret + + data = self.unreader.read() + while data: + self.buf.write(data) + if self.buf.tell() > size: + break + data = self.unreader.read() + + if not data: + self.finished = True + + data = self.buf.getvalue() + ret, rest = data[:size], data[size:] + self.buf = io.BytesIO() + self.buf.write(rest) + return ret + + +class Body: + def __init__(self, reader): + self.reader = reader + self.buf = io.BytesIO() + + def __iter__(self): + return self + + def __next__(self): + ret = self.readline() + if not ret: + raise StopIteration() + return ret + + next = __next__ + + def getsize(self, size): + if size is None: + return sys.maxsize + elif not isinstance(size, int): + raise TypeError("size must be an integral type") + elif size < 0: + return sys.maxsize + return size + + def read(self, size=None): + size = self.getsize(size) + if size == 0: + return b"" + + if size < self.buf.tell(): + data = self.buf.getvalue() + ret, rest = data[:size], data[size:] + self.buf = io.BytesIO() + self.buf.write(rest) + return ret + + while size > self.buf.tell(): + data = self.reader.read(1024) + if not data: + break + self.buf.write(data) + + data = self.buf.getvalue() + ret, rest = data[:size], data[size:] + self.buf = io.BytesIO() + self.buf.write(rest) + return ret + + def readline(self, size=None): + size = self.getsize(size) + if size == 0: + return b"" + + data = self.buf.getvalue() + self.buf = io.BytesIO() + + ret = [] + while 1: + idx = data.find(b"\n", 0, size) + idx = idx + 1 if idx >= 0 else size if len(data) >= size else 0 + if idx: + ret.append(data[:idx]) + self.buf.write(data[idx:]) + break + + ret.append(data) + size -= len(data) + data = self.reader.read(min(1024, size)) + if not data: + break + + return b"".join(ret) + + def readlines(self, size=None): + ret = [] + data = self.read() + while data: + pos = data.find(b"\n") + if pos < 0: + ret.append(data) + data = b"" + else: + line, data = data[:pos + 1], data[pos + 1:] + ret.append(line) + return ret diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/errors.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/errors.py new file mode 100644 index 0000000000000000000000000000000000000000..bcb9700725075c396c5016da53be993270e63567 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/errors.py @@ -0,0 +1,145 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +# We don't need to call super() in __init__ methods of our +# BaseException and Exception classes because we also define +# our own __str__ methods so there is no need to pass 'message' +# to the base class to get a meaningful output from 'str(exc)'. +# pylint: disable=super-init-not-called + + +class ParseException(Exception): + pass + + +class NoMoreData(IOError): + def __init__(self, buf=None): + self.buf = buf + + def __str__(self): + return "No more data after: %r" % self.buf + + +class ConfigurationProblem(ParseException): + def __init__(self, info): + self.info = info + self.code = 500 + + def __str__(self): + return "Configuration problem: %s" % self.info + + +class InvalidRequestLine(ParseException): + def __init__(self, req): + self.req = req + self.code = 400 + + def __str__(self): + return "Invalid HTTP request line: %r" % self.req + + +class InvalidRequestMethod(ParseException): + def __init__(self, method): + self.method = method + + def __str__(self): + return "Invalid HTTP method: %r" % self.method + + +class InvalidHTTPVersion(ParseException): + def __init__(self, version): + self.version = version + + def __str__(self): + return "Invalid HTTP Version: %r" % (self.version,) + + +class InvalidHeader(ParseException): + def __init__(self, hdr, req=None): + self.hdr = hdr + self.req = req + + def __str__(self): + return "Invalid HTTP Header: %r" % self.hdr + + +class ObsoleteFolding(ParseException): + def __init__(self, hdr): + self.hdr = hdr + + def __str__(self): + return "Obsolete line folding is unacceptable: %r" % (self.hdr, ) + + +class InvalidHeaderName(ParseException): + def __init__(self, hdr): + self.hdr = hdr + + def __str__(self): + return "Invalid HTTP header name: %r" % self.hdr + + +class UnsupportedTransferCoding(ParseException): + def __init__(self, hdr): + self.hdr = hdr + self.code = 501 + + def __str__(self): + return "Unsupported transfer coding: %r" % self.hdr + + +class InvalidChunkSize(IOError): + def __init__(self, data): + self.data = data + + def __str__(self): + return "Invalid chunk size: %r" % self.data + + +class ChunkMissingTerminator(IOError): + def __init__(self, term): + self.term = term + + def __str__(self): + return "Invalid chunk terminator is not '\\r\\n': %r" % self.term + + +class LimitRequestLine(ParseException): + def __init__(self, size, max_size): + self.size = size + self.max_size = max_size + + def __str__(self): + return "Request Line is too large (%s > %s)" % (self.size, self.max_size) + + +class LimitRequestHeaders(ParseException): + def __init__(self, msg): + self.msg = msg + + def __str__(self): + return self.msg + + +class InvalidProxyLine(ParseException): + def __init__(self, line): + self.line = line + self.code = 400 + + def __str__(self): + return "Invalid PROXY line: %r" % self.line + + +class ForbiddenProxyRequest(ParseException): + def __init__(self, host): + self.host = host + self.code = 403 + + def __str__(self): + return "Proxy request from %r not allowed" % self.host + + +class InvalidSchemeHeaders(ParseException): + def __str__(self): + return "Contradictory scheme headers" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/message.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/message.py new file mode 100644 index 0000000000000000000000000000000000000000..59ce0bf4beed664b012b501dd874579a24973377 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/message.py @@ -0,0 +1,463 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +import io +import re +import socket + +from gunicorn.http.body import ChunkedReader, LengthReader, EOFReader, Body +from gunicorn.http.errors import ( + InvalidHeader, InvalidHeaderName, NoMoreData, + InvalidRequestLine, InvalidRequestMethod, InvalidHTTPVersion, + LimitRequestLine, LimitRequestHeaders, + UnsupportedTransferCoding, ObsoleteFolding, +) +from gunicorn.http.errors import InvalidProxyLine, ForbiddenProxyRequest +from gunicorn.http.errors import InvalidSchemeHeaders +from gunicorn.util import bytes_to_str, split_request_uri + +MAX_REQUEST_LINE = 8190 +MAX_HEADERS = 32768 +DEFAULT_MAX_HEADERFIELD_SIZE = 8190 + +# verbosely on purpose, avoid backslash ambiguity +RFC9110_5_6_2_TOKEN_SPECIALS = r"!#$%&'*+-.^_`|~" +TOKEN_RE = re.compile(r"[%s0-9a-zA-Z]+" % (re.escape(RFC9110_5_6_2_TOKEN_SPECIALS))) +METHOD_BADCHAR_RE = re.compile("[a-z#]") +# usually 1.0 or 1.1 - RFC9112 permits restricting to single-digit versions +VERSION_RE = re.compile(r"HTTP/(\d)\.(\d)") +RFC9110_5_5_INVALID_AND_DANGEROUS = re.compile(r"[\0\r\n]") + + +class Message: + def __init__(self, cfg, unreader, peer_addr): + self.cfg = cfg + self.unreader = unreader + self.peer_addr = peer_addr + self.remote_addr = peer_addr + self.version = None + self.headers = [] + self.trailers = [] + self.body = None + self.scheme = "https" if cfg.is_ssl else "http" + self.must_close = False + + # set headers limits + self.limit_request_fields = cfg.limit_request_fields + if (self.limit_request_fields <= 0 + or self.limit_request_fields > MAX_HEADERS): + self.limit_request_fields = MAX_HEADERS + self.limit_request_field_size = cfg.limit_request_field_size + if self.limit_request_field_size < 0: + self.limit_request_field_size = DEFAULT_MAX_HEADERFIELD_SIZE + + # set max header buffer size + max_header_field_size = self.limit_request_field_size or DEFAULT_MAX_HEADERFIELD_SIZE + self.max_buffer_headers = self.limit_request_fields * \ + (max_header_field_size + 2) + 4 + + unused = self.parse(self.unreader) + self.unreader.unread(unused) + self.set_body_reader() + + def force_close(self): + self.must_close = True + + def parse(self, unreader): + raise NotImplementedError() + + def parse_headers(self, data, from_trailer=False): + cfg = self.cfg + headers = [] + + # Split lines on \r\n + lines = [bytes_to_str(line) for line in data.split(b"\r\n")] + + # handle scheme headers + scheme_header = False + secure_scheme_headers = {} + forwarder_headers = [] + if from_trailer: + # nonsense. either a request is https from the beginning + # .. or we are just behind a proxy who does not remove conflicting trailers + pass + elif ('*' in cfg.forwarded_allow_ips or + not isinstance(self.peer_addr, tuple) + or self.peer_addr[0] in cfg.forwarded_allow_ips): + secure_scheme_headers = cfg.secure_scheme_headers + forwarder_headers = cfg.forwarder_headers + + # Parse headers into key/value pairs paying attention + # to continuation lines. + while lines: + if len(headers) >= self.limit_request_fields: + raise LimitRequestHeaders("limit request headers fields") + + # Parse initial header name: value pair. + curr = lines.pop(0) + header_length = len(curr) + len("\r\n") + if curr.find(":") <= 0: + raise InvalidHeader(curr) + name, value = curr.split(":", 1) + if self.cfg.strip_header_spaces: + name = name.rstrip(" \t") + if not TOKEN_RE.fullmatch(name): + raise InvalidHeaderName(name) + + # this is still a dangerous place to do this + # but it is more correct than doing it before the pattern match: + # after we entered Unicode wonderland, 8bits could case-shift into ASCII: + # b"\xDF".decode("latin-1").upper().encode("ascii") == b"SS" + name = name.upper() + + value = [value.strip(" \t")] + + # Consume value continuation lines.. + while lines and lines[0].startswith((" ", "\t")): + # .. which is obsolete here, and no longer done by default + if not self.cfg.permit_obsolete_folding: + raise ObsoleteFolding(name) + curr = lines.pop(0) + header_length += len(curr) + len("\r\n") + if header_length > self.limit_request_field_size > 0: + raise LimitRequestHeaders("limit request headers " + "fields size") + value.append(curr.strip("\t ")) + value = " ".join(value) + + if RFC9110_5_5_INVALID_AND_DANGEROUS.search(value): + raise InvalidHeader(name) + + if header_length > self.limit_request_field_size > 0: + raise LimitRequestHeaders("limit request headers fields size") + + if name in secure_scheme_headers: + secure = value == secure_scheme_headers[name] + scheme = "https" if secure else "http" + if scheme_header: + if scheme != self.scheme: + raise InvalidSchemeHeaders() + else: + scheme_header = True + self.scheme = scheme + + # ambiguous mapping allows fooling downstream, e.g. merging non-identical headers: + # X-Forwarded-For: 2001:db8::ha:cc:ed + # X_Forwarded_For: 127.0.0.1,::1 + # HTTP_X_FORWARDED_FOR = 2001:db8::ha:cc:ed,127.0.0.1,::1 + # Only modify after fixing *ALL* header transformations; network to wsgi env + if "_" in name: + if name in forwarder_headers or "*" in forwarder_headers: + # This forwarder may override our environment + pass + elif self.cfg.header_map == "dangerous": + # as if we did not know we cannot safely map this + pass + elif self.cfg.header_map == "drop": + # almost as if it never had been there + # but still counts against resource limits + continue + else: + # fail-safe fallthrough: refuse + raise InvalidHeaderName(name) + + headers.append((name, value)) + + return headers + + def set_body_reader(self): + chunked = False + content_length = None + + for (name, value) in self.headers: + if name == "CONTENT-LENGTH": + if content_length is not None: + raise InvalidHeader("CONTENT-LENGTH", req=self) + content_length = value + elif name == "TRANSFER-ENCODING": + # T-E can be a list + # https://datatracker.ietf.org/doc/html/rfc9112#name-transfer-encoding + vals = [v.strip() for v in value.split(',')] + for val in vals: + if val.lower() == "chunked": + # DANGER: transfer codings stack, and stacked chunking is never intended + if chunked: + raise InvalidHeader("TRANSFER-ENCODING", req=self) + chunked = True + elif val.lower() == "identity": + # does not do much, could still plausibly desync from what the proxy does + # safe option: nuke it, its never needed + if chunked: + raise InvalidHeader("TRANSFER-ENCODING", req=self) + elif val.lower() in ('compress', 'deflate', 'gzip'): + # chunked should be the last one + if chunked: + raise InvalidHeader("TRANSFER-ENCODING", req=self) + self.force_close() + else: + raise UnsupportedTransferCoding(value) + + if chunked: + # two potentially dangerous cases: + # a) CL + TE (TE overrides CL.. only safe if the recipient sees it that way too) + # b) chunked HTTP/1.0 (always faulty) + if self.version < (1, 1): + # framing wonky, see RFC 9112 Section 6.1 + raise InvalidHeader("TRANSFER-ENCODING", req=self) + if content_length is not None: + # we cannot be certain the message framing we understood matches proxy intent + # -> whatever happens next, remaining input must not be trusted + raise InvalidHeader("CONTENT-LENGTH", req=self) + self.body = Body(ChunkedReader(self, self.unreader)) + elif content_length is not None: + try: + if str(content_length).isnumeric(): + content_length = int(content_length) + else: + raise InvalidHeader("CONTENT-LENGTH", req=self) + except ValueError: + raise InvalidHeader("CONTENT-LENGTH", req=self) + + if content_length < 0: + raise InvalidHeader("CONTENT-LENGTH", req=self) + + self.body = Body(LengthReader(self.unreader, content_length)) + else: + self.body = Body(EOFReader(self.unreader)) + + def should_close(self): + if self.must_close: + return True + for (h, v) in self.headers: + if h == "CONNECTION": + v = v.lower().strip(" \t") + if v == "close": + return True + elif v == "keep-alive": + return False + break + return self.version <= (1, 0) + + +class Request(Message): + def __init__(self, cfg, unreader, peer_addr, req_number=1): + self.method = None + self.uri = None + self.path = None + self.query = None + self.fragment = None + + # get max request line size + self.limit_request_line = cfg.limit_request_line + if (self.limit_request_line < 0 + or self.limit_request_line >= MAX_REQUEST_LINE): + self.limit_request_line = MAX_REQUEST_LINE + + self.req_number = req_number + self.proxy_protocol_info = None + super().__init__(cfg, unreader, peer_addr) + + def get_data(self, unreader, buf, stop=False): + data = unreader.read() + if not data: + if stop: + raise StopIteration() + raise NoMoreData(buf.getvalue()) + buf.write(data) + + def parse(self, unreader): + buf = io.BytesIO() + self.get_data(unreader, buf, stop=True) + + # get request line + line, rbuf = self.read_line(unreader, buf, self.limit_request_line) + + # proxy protocol + if self.proxy_protocol(bytes_to_str(line)): + # get next request line + buf = io.BytesIO() + buf.write(rbuf) + line, rbuf = self.read_line(unreader, buf, self.limit_request_line) + + self.parse_request_line(line) + buf = io.BytesIO() + buf.write(rbuf) + + # Headers + data = buf.getvalue() + idx = data.find(b"\r\n\r\n") + + done = data[:2] == b"\r\n" + while True: + idx = data.find(b"\r\n\r\n") + done = data[:2] == b"\r\n" + + if idx < 0 and not done: + self.get_data(unreader, buf) + data = buf.getvalue() + if len(data) > self.max_buffer_headers: + raise LimitRequestHeaders("max buffer headers") + else: + break + + if done: + self.unreader.unread(data[2:]) + return b"" + + self.headers = self.parse_headers(data[:idx], from_trailer=False) + + ret = data[idx + 4:] + buf = None + return ret + + def read_line(self, unreader, buf, limit=0): + data = buf.getvalue() + + while True: + idx = data.find(b"\r\n") + if idx >= 0: + # check if the request line is too large + if idx > limit > 0: + raise LimitRequestLine(idx, limit) + break + if len(data) - 2 > limit > 0: + raise LimitRequestLine(len(data), limit) + self.get_data(unreader, buf) + data = buf.getvalue() + + return (data[:idx], # request line, + data[idx + 2:]) # residue in the buffer, skip \r\n + + def proxy_protocol(self, line): + """\ + Detect, check and parse proxy protocol. + + :raises: ForbiddenProxyRequest, InvalidProxyLine. + :return: True for proxy protocol line else False + """ + if not self.cfg.proxy_protocol: + return False + + if self.req_number != 1: + return False + + if not line.startswith("PROXY"): + return False + + self.proxy_protocol_access_check() + self.parse_proxy_protocol(line) + + return True + + def proxy_protocol_access_check(self): + # check in allow list + if ("*" not in self.cfg.proxy_allow_ips and + isinstance(self.peer_addr, tuple) and + self.peer_addr[0] not in self.cfg.proxy_allow_ips): + raise ForbiddenProxyRequest(self.peer_addr[0]) + + def parse_proxy_protocol(self, line): + bits = line.split(" ") + + if len(bits) != 6: + raise InvalidProxyLine(line) + + # Extract data + proto = bits[1] + s_addr = bits[2] + d_addr = bits[3] + + # Validation + if proto not in ["TCP4", "TCP6"]: + raise InvalidProxyLine("protocol '%s' not supported" % proto) + if proto == "TCP4": + try: + socket.inet_pton(socket.AF_INET, s_addr) + socket.inet_pton(socket.AF_INET, d_addr) + except OSError: + raise InvalidProxyLine(line) + elif proto == "TCP6": + try: + socket.inet_pton(socket.AF_INET6, s_addr) + socket.inet_pton(socket.AF_INET6, d_addr) + except OSError: + raise InvalidProxyLine(line) + + try: + s_port = int(bits[4]) + d_port = int(bits[5]) + except ValueError: + raise InvalidProxyLine("invalid port %s" % line) + + if not ((0 <= s_port <= 65535) and (0 <= d_port <= 65535)): + raise InvalidProxyLine("invalid port %s" % line) + + # Set data + self.proxy_protocol_info = { + "proxy_protocol": proto, + "client_addr": s_addr, + "client_port": s_port, + "proxy_addr": d_addr, + "proxy_port": d_port + } + + def parse_request_line(self, line_bytes): + bits = [bytes_to_str(bit) for bit in line_bytes.split(b" ", 2)] + if len(bits) != 3: + raise InvalidRequestLine(bytes_to_str(line_bytes)) + + # Method: RFC9110 Section 9 + self.method = bits[0] + + # nonstandard restriction, suitable for all IANA registered methods + # partially enforced in previous gunicorn versions + if not self.cfg.permit_unconventional_http_method: + if METHOD_BADCHAR_RE.search(self.method): + raise InvalidRequestMethod(self.method) + if not 3 <= len(bits[0]) <= 20: + raise InvalidRequestMethod(self.method) + # standard restriction: RFC9110 token + if not TOKEN_RE.fullmatch(self.method): + raise InvalidRequestMethod(self.method) + # nonstandard and dangerous + # methods are merely uppercase by convention, no case-insensitive treatment is intended + if self.cfg.casefold_http_method: + self.method = self.method.upper() + + # URI + self.uri = bits[1] + + # Python stdlib explicitly tells us it will not perform validation. + # https://docs.python.org/3/library/urllib.parse.html#url-parsing-security + # There are *four* `request-target` forms in rfc9112, none of them can be empty: + # 1. origin-form, which starts with a slash + # 2. absolute-form, which starts with a non-empty scheme + # 3. authority-form, (for CONNECT) which contains a colon after the host + # 4. asterisk-form, which is an asterisk (`\x2A`) + # => manually reject one always invalid URI: empty + if len(self.uri) == 0: + raise InvalidRequestLine(bytes_to_str(line_bytes)) + + try: + parts = split_request_uri(self.uri) + except ValueError: + raise InvalidRequestLine(bytes_to_str(line_bytes)) + self.path = parts.path or "" + self.query = parts.query or "" + self.fragment = parts.fragment or "" + + # Version + match = VERSION_RE.fullmatch(bits[2]) + if match is None: + raise InvalidHTTPVersion(bits[2]) + self.version = (int(match.group(1)), int(match.group(2))) + if not (1, 0) <= self.version < (2, 0): + # if ever relaxing this, carefully review Content-Encoding processing + if not self.cfg.permit_unconventional_http_version: + raise InvalidHTTPVersion(self.version) + + def set_body_reader(self): + super().set_body_reader() + if isinstance(self.body.reader, EOFReader): + self.body = Body(LengthReader(self.unreader, 0)) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/parser.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/parser.py new file mode 100644 index 0000000000000000000000000000000000000000..88da17ab06e19162c091431772d303d82921bb78 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/parser.py @@ -0,0 +1,51 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +from gunicorn.http.message import Request +from gunicorn.http.unreader import SocketUnreader, IterUnreader + + +class Parser: + + mesg_class = None + + def __init__(self, cfg, source, source_addr): + self.cfg = cfg + if hasattr(source, "recv"): + self.unreader = SocketUnreader(source) + else: + self.unreader = IterUnreader(source) + self.mesg = None + self.source_addr = source_addr + + # request counter (for keepalive connetions) + self.req_count = 0 + + def __iter__(self): + return self + + def __next__(self): + # Stop if HTTP dictates a stop. + if self.mesg and self.mesg.should_close(): + raise StopIteration() + + # Discard any unread body of the previous message + if self.mesg: + data = self.mesg.body.read(8192) + while data: + data = self.mesg.body.read(8192) + + # Parse the next request + self.req_count += 1 + self.mesg = self.mesg_class(self.cfg, self.unreader, self.source_addr, self.req_count) + if not self.mesg: + raise StopIteration() + return self.mesg + + next = __next__ + + +class RequestParser(Parser): + + mesg_class = Request diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/unreader.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/unreader.py new file mode 100644 index 0000000000000000000000000000000000000000..9aadfbcff83add527f2440ee996d37aebe2be274 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/unreader.py @@ -0,0 +1,78 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +import io +import os + +# Classes that can undo reading data from +# a given type of data source. + + +class Unreader: + def __init__(self): + self.buf = io.BytesIO() + + def chunk(self): + raise NotImplementedError() + + def read(self, size=None): + if size is not None and not isinstance(size, int): + raise TypeError("size parameter must be an int or long.") + + if size is not None: + if size == 0: + return b"" + if size < 0: + size = None + + self.buf.seek(0, os.SEEK_END) + + if size is None and self.buf.tell(): + ret = self.buf.getvalue() + self.buf = io.BytesIO() + return ret + if size is None: + d = self.chunk() + return d + + while self.buf.tell() < size: + chunk = self.chunk() + if not chunk: + ret = self.buf.getvalue() + self.buf = io.BytesIO() + return ret + self.buf.write(chunk) + data = self.buf.getvalue() + self.buf = io.BytesIO() + self.buf.write(data[size:]) + return data[:size] + + def unread(self, data): + self.buf.seek(0, os.SEEK_END) + self.buf.write(data) + + +class SocketUnreader(Unreader): + def __init__(self, sock, max_chunk=8192): + super().__init__() + self.sock = sock + self.mxchunk = max_chunk + + def chunk(self): + return self.sock.recv(self.mxchunk) + + +class IterUnreader(Unreader): + def __init__(self, iterable): + super().__init__() + self.iter = iter(iterable) + + def chunk(self): + if not self.iter: + return b"" + try: + return next(self.iter) + except StopIteration: + self.iter = None + return b"" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/wsgi.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/wsgi.py new file mode 100644 index 0000000000000000000000000000000000000000..419ac503a4a7c4a564498ac570baf3151d51daf6 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/http/wsgi.py @@ -0,0 +1,401 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +import io +import logging +import os +import re +import sys + +from gunicorn.http.message import TOKEN_RE +from gunicorn.http.errors import ConfigurationProblem, InvalidHeader, InvalidHeaderName +from gunicorn import SERVER_SOFTWARE, SERVER +from gunicorn import util + +# Send files in at most 1GB blocks as some operating systems can have problems +# with sending files in blocks over 2GB. +BLKSIZE = 0x3FFFFFFF + +# RFC9110 5.5: field-vchar = VCHAR / obs-text +# RFC4234 B.1: VCHAR = 0x21-x07E = printable ASCII +HEADER_VALUE_RE = re.compile(r'[ \t\x21-\x7e\x80-\xff]*') + +log = logging.getLogger(__name__) + + +class FileWrapper: + + def __init__(self, filelike, blksize=8192): + self.filelike = filelike + self.blksize = blksize + if hasattr(filelike, 'close'): + self.close = filelike.close + + def __getitem__(self, key): + data = self.filelike.read(self.blksize) + if data: + return data + raise IndexError + + +class WSGIErrorsWrapper(io.RawIOBase): + + def __init__(self, cfg): + # There is no public __init__ method for RawIOBase so + # we don't need to call super() in the __init__ method. + # pylint: disable=super-init-not-called + errorlog = logging.getLogger("gunicorn.error") + handlers = errorlog.handlers + self.streams = [] + + if cfg.errorlog == "-": + self.streams.append(sys.stderr) + handlers = handlers[1:] + + for h in handlers: + if hasattr(h, "stream"): + self.streams.append(h.stream) + + def write(self, data): + for stream in self.streams: + try: + stream.write(data) + except UnicodeError: + stream.write(data.encode("UTF-8")) + stream.flush() + + +def base_environ(cfg): + return { + "wsgi.errors": WSGIErrorsWrapper(cfg), + "wsgi.version": (1, 0), + "wsgi.multithread": False, + "wsgi.multiprocess": (cfg.workers > 1), + "wsgi.run_once": False, + "wsgi.file_wrapper": FileWrapper, + "wsgi.input_terminated": True, + "SERVER_SOFTWARE": SERVER_SOFTWARE, + } + + +def default_environ(req, sock, cfg): + env = base_environ(cfg) + env.update({ + "wsgi.input": req.body, + "gunicorn.socket": sock, + "REQUEST_METHOD": req.method, + "QUERY_STRING": req.query, + "RAW_URI": req.uri, + "SERVER_PROTOCOL": "HTTP/%s" % ".".join([str(v) for v in req.version]) + }) + return env + + +def proxy_environ(req): + info = req.proxy_protocol_info + + if not info: + return {} + + return { + "PROXY_PROTOCOL": info["proxy_protocol"], + "REMOTE_ADDR": info["client_addr"], + "REMOTE_PORT": str(info["client_port"]), + "PROXY_ADDR": info["proxy_addr"], + "PROXY_PORT": str(info["proxy_port"]), + } + + +def create(req, sock, client, server, cfg): + resp = Response(req, sock, cfg) + + # set initial environ + environ = default_environ(req, sock, cfg) + + # default variables + host = None + script_name = os.environ.get("SCRIPT_NAME", "") + + # add the headers to the environ + for hdr_name, hdr_value in req.headers: + if hdr_name == "EXPECT": + # handle expect + if hdr_value.lower() == "100-continue": + sock.send(b"HTTP/1.1 100 Continue\r\n\r\n") + elif hdr_name == 'HOST': + host = hdr_value + elif hdr_name == "SCRIPT_NAME": + script_name = hdr_value + elif hdr_name == "CONTENT-TYPE": + environ['CONTENT_TYPE'] = hdr_value + continue + elif hdr_name == "CONTENT-LENGTH": + environ['CONTENT_LENGTH'] = hdr_value + continue + + # do not change lightly, this is a common source of security problems + # RFC9110 Section 17.10 discourages ambiguous or incomplete mappings + key = 'HTTP_' + hdr_name.replace('-', '_') + if key in environ: + hdr_value = "%s,%s" % (environ[key], hdr_value) + environ[key] = hdr_value + + # set the url scheme + environ['wsgi.url_scheme'] = req.scheme + + # set the REMOTE_* keys in environ + # authors should be aware that REMOTE_HOST and REMOTE_ADDR + # may not qualify the remote addr: + # http://www.ietf.org/rfc/rfc3875 + if isinstance(client, str): + environ['REMOTE_ADDR'] = client + elif isinstance(client, bytes): + environ['REMOTE_ADDR'] = client.decode() + else: + environ['REMOTE_ADDR'] = client[0] + environ['REMOTE_PORT'] = str(client[1]) + + # handle the SERVER_* + # Normally only the application should use the Host header but since the + # WSGI spec doesn't support unix sockets, we are using it to create + # viable SERVER_* if possible. + if isinstance(server, str): + server = server.split(":") + if len(server) == 1: + # unix socket + if host: + server = host.split(':') + if len(server) == 1: + if req.scheme == "http": + server.append(80) + elif req.scheme == "https": + server.append(443) + else: + server.append('') + else: + # no host header given which means that we are not behind a + # proxy, so append an empty port. + server.append('') + environ['SERVER_NAME'] = server[0] + environ['SERVER_PORT'] = str(server[1]) + + # set the path and script name + path_info = req.path + if script_name: + if not path_info.startswith(script_name): + raise ConfigurationProblem( + "Request path %r does not start with SCRIPT_NAME %r" % + (path_info, script_name)) + path_info = path_info[len(script_name):] + environ['PATH_INFO'] = util.unquote_to_wsgi_str(path_info) + environ['SCRIPT_NAME'] = script_name + + # override the environ with the correct remote and server address if + # we are behind a proxy using the proxy protocol. + environ.update(proxy_environ(req)) + return resp, environ + + +class Response: + + def __init__(self, req, sock, cfg): + self.req = req + self.sock = sock + self.version = SERVER + self.status = None + self.chunked = False + self.must_close = False + self.headers = [] + self.headers_sent = False + self.response_length = None + self.sent = 0 + self.upgrade = False + self.cfg = cfg + + def force_close(self): + self.must_close = True + + def should_close(self): + if self.must_close or self.req.should_close(): + return True + if self.response_length is not None or self.chunked: + return False + if self.req.method == 'HEAD': + return False + if self.status_code < 200 or self.status_code in (204, 304): + return False + return True + + def start_response(self, status, headers, exc_info=None): + if exc_info: + try: + if self.status and self.headers_sent: + util.reraise(exc_info[0], exc_info[1], exc_info[2]) + finally: + exc_info = None + elif self.status is not None: + raise AssertionError("Response headers already set!") + + self.status = status + + # get the status code from the response here so we can use it to check + # the need for the connection header later without parsing the string + # each time. + try: + self.status_code = int(self.status.split()[0]) + except ValueError: + self.status_code = None + + self.process_headers(headers) + self.chunked = self.is_chunked() + return self.write + + def process_headers(self, headers): + for name, value in headers: + if not isinstance(name, str): + raise TypeError('%r is not a string' % name) + + if not TOKEN_RE.fullmatch(name): + raise InvalidHeaderName('%r' % name) + + if not isinstance(value, str): + raise TypeError('%r is not a string' % value) + + if not HEADER_VALUE_RE.fullmatch(value): + raise InvalidHeader('%r' % value) + + # RFC9110 5.5 + value = value.strip(" \t") + lname = name.lower() + if lname == "content-length": + self.response_length = int(value) + elif util.is_hoppish(name): + if lname == "connection": + # handle websocket + if value.lower() == "upgrade": + self.upgrade = True + elif lname == "upgrade": + if value.lower() == "websocket": + self.headers.append((name, value)) + + # ignore hopbyhop headers + continue + self.headers.append((name, value)) + + def is_chunked(self): + # Only use chunked responses when the client is + # speaking HTTP/1.1 or newer and there was + # no Content-Length header set. + if self.response_length is not None: + return False + elif self.req.version <= (1, 0): + return False + elif self.req.method == 'HEAD': + # Responses to a HEAD request MUST NOT contain a response body. + return False + elif self.status_code in (204, 304): + # Do not use chunked responses when the response is guaranteed to + # not have a response body. + return False + return True + + def default_headers(self): + # set the connection header + if self.upgrade: + connection = "upgrade" + elif self.should_close(): + connection = "close" + else: + connection = "keep-alive" + + headers = [ + "HTTP/%s.%s %s\r\n" % (self.req.version[0], + self.req.version[1], self.status), + "Server: %s\r\n" % self.version, + "Date: %s\r\n" % util.http_date(), + "Connection: %s\r\n" % connection + ] + if self.chunked: + headers.append("Transfer-Encoding: chunked\r\n") + return headers + + def send_headers(self): + if self.headers_sent: + return + tosend = self.default_headers() + tosend.extend(["%s: %s\r\n" % (k, v) for k, v in self.headers]) + + header_str = "%s\r\n" % "".join(tosend) + util.write(self.sock, util.to_bytestring(header_str, "latin-1")) + self.headers_sent = True + + def write(self, arg): + self.send_headers() + if not isinstance(arg, bytes): + raise TypeError('%r is not a byte' % arg) + arglen = len(arg) + tosend = arglen + if self.response_length is not None: + if self.sent >= self.response_length: + # Never write more than self.response_length bytes + return + + tosend = min(self.response_length - self.sent, tosend) + if tosend < arglen: + arg = arg[:tosend] + + # Sending an empty chunk signals the end of the + # response and prematurely closes the response + if self.chunked and tosend == 0: + return + + self.sent += tosend + util.write(self.sock, arg, self.chunked) + + def can_sendfile(self): + return self.cfg.sendfile is not False + + def sendfile(self, respiter): + if self.cfg.is_ssl or not self.can_sendfile(): + return False + + if not util.has_fileno(respiter.filelike): + return False + + fileno = respiter.filelike.fileno() + try: + offset = os.lseek(fileno, 0, os.SEEK_CUR) + if self.response_length is None: + filesize = os.fstat(fileno).st_size + nbytes = filesize - offset + else: + nbytes = self.response_length + except (OSError, io.UnsupportedOperation): + return False + + self.send_headers() + + if self.is_chunked(): + chunk_size = "%X\r\n" % nbytes + self.sock.sendall(chunk_size.encode('utf-8')) + if nbytes > 0: + self.sock.sendfile(respiter.filelike, offset=offset, count=nbytes) + + if self.is_chunked(): + self.sock.sendall(b"\r\n") + + os.lseek(fileno, offset, os.SEEK_SET) + + return True + + def write_file(self, respiter): + if not self.sendfile(respiter): + for item in respiter: + self.write(item) + + def close(self): + if not self.headers_sent: + self.send_headers() + if self.chunked: + util.write_chunk(self.sock, b"") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/instrument/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/instrument/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git 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+VALUE_VAR = "value" +MTYPE_VAR = "mtype" +GAUGE_TYPE = "gauge" +COUNTER_TYPE = "counter" +HISTOGRAM_TYPE = "histogram" + + +class Statsd(Logger): + """statsD-based instrumentation, that passes as a logger + """ + def __init__(self, cfg): + Logger.__init__(self, cfg) + self.prefix = sub(r"^(.+[^.]+)\.*$", "\\g<1>.", cfg.statsd_prefix) + + if isinstance(cfg.statsd_host, str): + address_family = socket.AF_UNIX + else: + address_family = socket.AF_INET + + try: + self.sock = socket.socket(address_family, socket.SOCK_DGRAM) + self.sock.connect(cfg.statsd_host) + except Exception: + self.sock = None + + self.dogstatsd_tags = cfg.dogstatsd_tags + + # Log errors and warnings + def critical(self, msg, *args, **kwargs): + Logger.critical(self, msg, *args, **kwargs) + self.increment("gunicorn.log.critical", 1) + + def error(self, msg, *args, **kwargs): + Logger.error(self, msg, *args, **kwargs) + self.increment("gunicorn.log.error", 1) + + def warning(self, msg, *args, **kwargs): + Logger.warning(self, msg, *args, **kwargs) + self.increment("gunicorn.log.warning", 1) + + def exception(self, msg, *args, **kwargs): + Logger.exception(self, msg, *args, **kwargs) + self.increment("gunicorn.log.exception", 1) + + # Special treatment for info, the most common log level + def info(self, msg, *args, **kwargs): + self.log(logging.INFO, msg, *args, **kwargs) + + # skip the run-of-the-mill logs + def debug(self, msg, *args, **kwargs): + self.log(logging.DEBUG, msg, *args, **kwargs) + + def log(self, lvl, msg, *args, **kwargs): + """Log a given statistic if metric, value and type are present + """ + try: + extra = kwargs.get("extra", None) + if extra is not None: + metric = extra.get(METRIC_VAR, None) + value = extra.get(VALUE_VAR, None) + typ = extra.get(MTYPE_VAR, None) + if metric and value and typ: + if typ == GAUGE_TYPE: + self.gauge(metric, value) + elif typ == COUNTER_TYPE: + self.increment(metric, value) + elif typ == HISTOGRAM_TYPE: + self.histogram(metric, value) + else: + pass + + # Log to parent logger only if there is something to say + if msg: + Logger.log(self, lvl, msg, *args, **kwargs) + except Exception: + Logger.warning(self, "Failed to log to statsd", exc_info=True) + + # access logging + def access(self, resp, req, environ, request_time): + """Measure request duration + request_time is a datetime.timedelta + """ + Logger.access(self, resp, req, environ, request_time) + duration_in_ms = request_time.seconds * 1000 + float(request_time.microseconds) / 10 ** 3 + status = resp.status + if isinstance(status, bytes): + status = status.decode('utf-8') + if isinstance(status, str): + status = int(status.split(None, 1)[0]) + self.histogram("gunicorn.request.duration", duration_in_ms) + self.increment("gunicorn.requests", 1) + self.increment("gunicorn.request.status.%d" % status, 1) + + # statsD methods + # you can use those directly if you want + def gauge(self, name, value): + self._sock_send("{0}{1}:{2}|g".format(self.prefix, name, value)) + + def increment(self, name, value, sampling_rate=1.0): + self._sock_send("{0}{1}:{2}|c|@{3}".format(self.prefix, name, value, sampling_rate)) + + def decrement(self, name, value, sampling_rate=1.0): + self._sock_send("{0}{1}:-{2}|c|@{3}".format(self.prefix, name, value, sampling_rate)) + + def histogram(self, name, value): + self._sock_send("{0}{1}:{2}|ms".format(self.prefix, name, value)) + + def _sock_send(self, msg): + try: + if isinstance(msg, str): + msg = msg.encode("ascii") + + # http://docs.datadoghq.com/guides/dogstatsd/#datagram-format + if self.dogstatsd_tags: + msg = msg + b"|#" + self.dogstatsd_tags.encode('ascii') + + if self.sock: + self.sock.send(msg) + except Exception: + Logger.warning(self, "Error sending message to statsd", exc_info=True) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..3da5f85e890a4e000fb873d2ead9278dfe949210 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/__init__.py @@ -0,0 +1,14 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +# supported gunicorn workers. +SUPPORTED_WORKERS = { + "sync": "gunicorn.workers.sync.SyncWorker", + "eventlet": "gunicorn.workers.geventlet.EventletWorker", + "gevent": "gunicorn.workers.ggevent.GeventWorker", + "gevent_wsgi": "gunicorn.workers.ggevent.GeventPyWSGIWorker", + "gevent_pywsgi": "gunicorn.workers.ggevent.GeventPyWSGIWorker", + "tornado": "gunicorn.workers.gtornado.TornadoWorker", + "gthread": "gunicorn.workers.gthread.ThreadWorker", +} diff --git 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NOTICE for more information. + +import io +import os +import signal +import sys +import time +import traceback +from datetime import datetime +from random import randint +from ssl import SSLError + +from gunicorn import util +from gunicorn.http.errors import ( + ForbiddenProxyRequest, InvalidHeader, + InvalidHeaderName, InvalidHTTPVersion, + InvalidProxyLine, InvalidRequestLine, + InvalidRequestMethod, InvalidSchemeHeaders, + LimitRequestHeaders, LimitRequestLine, + UnsupportedTransferCoding, + ConfigurationProblem, ObsoleteFolding, +) +from gunicorn.http.wsgi import Response, default_environ +from gunicorn.reloader import reloader_engines +from gunicorn.workers.workertmp import WorkerTmp + + +class Worker: + + SIGNALS = [getattr(signal, "SIG%s" % x) for x in ( + "ABRT HUP QUIT INT TERM USR1 USR2 WINCH CHLD".split() + )] + + PIPE = [] + + def __init__(self, age, ppid, sockets, app, timeout, cfg, log): + """\ + This is called pre-fork so it shouldn't do anything to the + current process. If there's a need to make process wide + changes you'll want to do that in ``self.init_process()``. + """ + self.age = age + self.pid = "[booting]" + self.ppid = ppid + self.sockets = sockets + self.app = app + self.timeout = timeout + self.cfg = cfg + self.booted = False + self.aborted = False + self.reloader = None + + self.nr = 0 + + if cfg.max_requests > 0: + jitter = randint(0, cfg.max_requests_jitter) + self.max_requests = cfg.max_requests + jitter + else: + self.max_requests = sys.maxsize + + self.alive = True + self.log = log + self.tmp = WorkerTmp(cfg) + + def __str__(self): + return "" % self.pid + + def notify(self): + """\ + Your worker subclass must arrange to have this method called + once every ``self.timeout`` seconds. If you fail in accomplishing + this task, the master process will murder your workers. + """ + self.tmp.notify() + + def run(self): + """\ + This is the mainloop of a worker process. You should override + this method in a subclass to provide the intended behaviour + for your particular evil schemes. + """ + raise NotImplementedError() + + def init_process(self): + """\ + If you override this method in a subclass, the last statement + in the function should be to call this method with + super().init_process() so that the ``run()`` loop is initiated. + """ + + # set environment' variables + if self.cfg.env: + for k, v in self.cfg.env.items(): + os.environ[k] = v + + util.set_owner_process(self.cfg.uid, self.cfg.gid, + initgroups=self.cfg.initgroups) + + # Reseed the random number generator + util.seed() + + # For waking ourselves up + self.PIPE = os.pipe() + for p in self.PIPE: + util.set_non_blocking(p) + util.close_on_exec(p) + + # Prevent fd inheritance + for s in self.sockets: + util.close_on_exec(s) + util.close_on_exec(self.tmp.fileno()) + + self.wait_fds = self.sockets + [self.PIPE[0]] + + self.log.close_on_exec() + + self.init_signals() + + # start the reloader + if self.cfg.reload: + def changed(fname): + self.log.info("Worker reloading: %s modified", fname) + self.alive = False + os.write(self.PIPE[1], b"1") + self.cfg.worker_int(self) + time.sleep(0.1) + sys.exit(0) + + reloader_cls = reloader_engines[self.cfg.reload_engine] + self.reloader = reloader_cls(extra_files=self.cfg.reload_extra_files, + callback=changed) + + self.load_wsgi() + if self.reloader: + self.reloader.start() + + self.cfg.post_worker_init(self) + + # Enter main run loop + self.booted = True + self.run() + + def load_wsgi(self): + try: + self.wsgi = self.app.wsgi() + except SyntaxError as e: + if not self.cfg.reload: + raise + + self.log.exception(e) + + # fix from PR #1228 + # storing the traceback into exc_tb will create a circular reference. + # per https://docs.python.org/2/library/sys.html#sys.exc_info warning, + # delete the traceback after use. + try: + _, exc_val, exc_tb = sys.exc_info() + self.reloader.add_extra_file(exc_val.filename) + + tb_string = io.StringIO() + traceback.print_tb(exc_tb, file=tb_string) + self.wsgi = util.make_fail_app(tb_string.getvalue()) + finally: + del exc_tb + + def init_signals(self): + # reset signaling + for s in self.SIGNALS: + signal.signal(s, signal.SIG_DFL) + # init new signaling + signal.signal(signal.SIGQUIT, self.handle_quit) + signal.signal(signal.SIGTERM, self.handle_exit) + signal.signal(signal.SIGINT, self.handle_quit) + signal.signal(signal.SIGWINCH, self.handle_winch) + signal.signal(signal.SIGUSR1, self.handle_usr1) + signal.signal(signal.SIGABRT, self.handle_abort) + + # Don't let SIGTERM and SIGUSR1 disturb active requests + # by interrupting system calls + signal.siginterrupt(signal.SIGTERM, False) + signal.siginterrupt(signal.SIGUSR1, False) + + if hasattr(signal, 'set_wakeup_fd'): + signal.set_wakeup_fd(self.PIPE[1]) + + def handle_usr1(self, sig, frame): + self.log.reopen_files() + + def handle_exit(self, sig, frame): + self.alive = False + + def handle_quit(self, sig, frame): + self.alive = False + # worker_int callback + self.cfg.worker_int(self) + time.sleep(0.1) + sys.exit(0) + + def handle_abort(self, sig, frame): + self.alive = False + self.cfg.worker_abort(self) + sys.exit(1) + + def handle_error(self, req, client, addr, exc): + request_start = datetime.now() + addr = addr or ('', -1) # unix socket case + if isinstance(exc, ( + InvalidRequestLine, InvalidRequestMethod, + InvalidHTTPVersion, InvalidHeader, InvalidHeaderName, + LimitRequestLine, LimitRequestHeaders, + InvalidProxyLine, ForbiddenProxyRequest, + InvalidSchemeHeaders, UnsupportedTransferCoding, + ConfigurationProblem, ObsoleteFolding, + SSLError, + )): + + status_int = 400 + reason = "Bad Request" + + if isinstance(exc, InvalidRequestLine): + mesg = "Invalid Request Line '%s'" % str(exc) + elif isinstance(exc, InvalidRequestMethod): + mesg = "Invalid Method '%s'" % str(exc) + elif isinstance(exc, InvalidHTTPVersion): + mesg = "Invalid HTTP Version '%s'" % str(exc) + elif isinstance(exc, UnsupportedTransferCoding): + mesg = "%s" % str(exc) + status_int = 501 + elif isinstance(exc, ConfigurationProblem): + mesg = "%s" % str(exc) + status_int = 500 + elif isinstance(exc, ObsoleteFolding): + mesg = "%s" % str(exc) + elif isinstance(exc, (InvalidHeaderName, InvalidHeader,)): + mesg = "%s" % str(exc) + if not req and hasattr(exc, "req"): + req = exc.req # for access log + elif isinstance(exc, LimitRequestLine): + mesg = "%s" % str(exc) + elif isinstance(exc, LimitRequestHeaders): + reason = "Request Header Fields Too Large" + mesg = "Error parsing headers: '%s'" % str(exc) + status_int = 431 + elif isinstance(exc, InvalidProxyLine): + mesg = "'%s'" % str(exc) + elif isinstance(exc, ForbiddenProxyRequest): + reason = "Forbidden" + mesg = "Request forbidden" + status_int = 403 + elif isinstance(exc, InvalidSchemeHeaders): + mesg = "%s" % str(exc) + elif isinstance(exc, SSLError): + reason = "Forbidden" + mesg = "'%s'" % str(exc) + status_int = 403 + + msg = "Invalid request from ip={ip}: {error}" + self.log.warning(msg.format(ip=addr[0], error=str(exc))) + else: + if hasattr(req, "uri"): + self.log.exception("Error handling request %s", req.uri) + else: + self.log.exception("Error handling request (no URI read)") + status_int = 500 + reason = "Internal Server Error" + mesg = "" + + if req is not None: + request_time = datetime.now() - request_start + environ = default_environ(req, client, self.cfg) + environ['REMOTE_ADDR'] = addr[0] + environ['REMOTE_PORT'] = str(addr[1]) + resp = Response(req, client, self.cfg) + resp.status = "%s %s" % (status_int, reason) + resp.response_length = len(mesg) + self.log.access(resp, req, environ, request_time) + + try: + util.write_error(client, status_int, reason, mesg) + except Exception: + self.log.debug("Failed to send error message.") + + def handle_winch(self, sig, fname): + # Ignore SIGWINCH in worker. Fixes a crash on OpenBSD. + self.log.debug("worker: SIGWINCH ignored.") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/base_async.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/base_async.py new file mode 100644 index 0000000000000000000000000000000000000000..9466d6aaafa584802f520521644d8054bbb5f2d7 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/base_async.py @@ -0,0 +1,147 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +from datetime import datetime +import errno +import socket +import ssl +import sys + +from gunicorn import http +from gunicorn.http import wsgi +from gunicorn import util +from gunicorn.workers import base + +ALREADY_HANDLED = object() + + +class AsyncWorker(base.Worker): + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.worker_connections = self.cfg.worker_connections + + def timeout_ctx(self): + raise NotImplementedError() + + def is_already_handled(self, respiter): + # some workers will need to overload this function to raise a StopIteration + return respiter == ALREADY_HANDLED + + def handle(self, listener, client, addr): + req = None + try: + parser = http.RequestParser(self.cfg, client, addr) + try: + listener_name = listener.getsockname() + if not self.cfg.keepalive: + req = next(parser) + self.handle_request(listener_name, req, client, addr) + else: + # keepalive loop + proxy_protocol_info = {} + while True: + req = None + with self.timeout_ctx(): + req = next(parser) + if not req: + break + if req.proxy_protocol_info: + proxy_protocol_info = req.proxy_protocol_info + else: + req.proxy_protocol_info = proxy_protocol_info + self.handle_request(listener_name, req, client, addr) + except http.errors.NoMoreData as e: + self.log.debug("Ignored premature client disconnection. %s", e) + except StopIteration as e: + self.log.debug("Closing connection. %s", e) + except ssl.SSLError: + # pass to next try-except level + util.reraise(*sys.exc_info()) + except OSError: + # pass to next try-except level + util.reraise(*sys.exc_info()) + except Exception as e: + self.handle_error(req, client, addr, e) + except ssl.SSLError as e: + if e.args[0] == ssl.SSL_ERROR_EOF: + self.log.debug("ssl connection closed") + client.close() + else: + self.log.debug("Error processing SSL request.") + self.handle_error(req, client, addr, e) + except OSError as e: + if e.errno not in (errno.EPIPE, errno.ECONNRESET, errno.ENOTCONN): + self.log.exception("Socket error processing request.") + else: + if e.errno == errno.ECONNRESET: + self.log.debug("Ignoring connection reset") + elif e.errno == errno.ENOTCONN: + self.log.debug("Ignoring socket not connected") + else: + self.log.debug("Ignoring EPIPE") + except BaseException as e: + self.handle_error(req, client, addr, e) + finally: + util.close(client) + + def handle_request(self, listener_name, req, sock, addr): + request_start = datetime.now() + environ = {} + resp = None + try: + self.cfg.pre_request(self, req) + resp, environ = wsgi.create(req, sock, addr, + listener_name, self.cfg) + environ["wsgi.multithread"] = True + self.nr += 1 + if self.nr >= self.max_requests: + if self.alive: + self.log.info("Autorestarting worker after current request.") + self.alive = False + + if not self.alive or not self.cfg.keepalive: + resp.force_close() + + respiter = self.wsgi(environ, resp.start_response) + if self.is_already_handled(respiter): + return False + try: + if isinstance(respiter, environ['wsgi.file_wrapper']): + resp.write_file(respiter) + else: + for item in respiter: + resp.write(item) + resp.close() + finally: + request_time = datetime.now() - request_start + self.log.access(resp, req, environ, request_time) + if hasattr(respiter, "close"): + respiter.close() + if resp.should_close(): + raise StopIteration() + except StopIteration: + raise + except OSError: + # If the original exception was a socket.error we delegate + # handling it to the caller (where handle() might ignore it) + util.reraise(*sys.exc_info()) + except Exception: + if resp and resp.headers_sent: + # If the requests have already been sent, we should close the + # connection to indicate the error. + self.log.exception("Error handling request") + try: + sock.shutdown(socket.SHUT_RDWR) + sock.close() + except OSError: + pass + raise StopIteration() + raise + finally: + try: + self.cfg.post_request(self, req, environ, resp) + except Exception: + self.log.exception("Exception in post_request hook") + return True diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/geventlet.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/geventlet.py new file mode 100644 index 0000000000000000000000000000000000000000..087eb61ec75da1bbc214c9877ca4a0d72c6ceb1e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/geventlet.py @@ -0,0 +1,186 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +from functools import partial +import sys + +try: + import eventlet +except ImportError: + raise RuntimeError("eventlet worker requires eventlet 0.24.1 or higher") +else: + from packaging.version import parse as parse_version + if parse_version(eventlet.__version__) < parse_version('0.24.1'): + raise RuntimeError("eventlet worker requires eventlet 0.24.1 or higher") + +from eventlet import hubs, greenthread +from eventlet.greenio import GreenSocket +import eventlet.wsgi +import greenlet + +from gunicorn.workers.base_async import AsyncWorker +from gunicorn.sock import ssl_wrap_socket + +# ALREADY_HANDLED is removed in 0.30.3+ now it's `WSGI_LOCAL.already_handled: bool` +# https://github.com/eventlet/eventlet/pull/544 +EVENTLET_WSGI_LOCAL = getattr(eventlet.wsgi, "WSGI_LOCAL", None) +EVENTLET_ALREADY_HANDLED = getattr(eventlet.wsgi, "ALREADY_HANDLED", None) + + +def _eventlet_socket_sendfile(self, file, offset=0, count=None): + # Based on the implementation in gevent which in turn is slightly + # modified from the standard library implementation. + if self.gettimeout() == 0: + raise ValueError("non-blocking sockets are not supported") + if offset: + file.seek(offset) + blocksize = min(count, 8192) if count else 8192 + total_sent = 0 + # localize variable access to minimize overhead + file_read = file.read + sock_send = self.send + try: + while True: + if count: + blocksize = min(count - total_sent, blocksize) + if blocksize <= 0: + break + data = memoryview(file_read(blocksize)) + if not data: + break # EOF + while True: + try: + sent = sock_send(data) + except BlockingIOError: + continue + else: + total_sent += sent + if sent < len(data): + data = data[sent:] + else: + break + return total_sent + finally: + if total_sent > 0 and hasattr(file, 'seek'): + file.seek(offset + total_sent) + + +def _eventlet_serve(sock, handle, concurrency): + """ + Serve requests forever. + + This code is nearly identical to ``eventlet.convenience.serve`` except + that it attempts to join the pool at the end, which allows for gunicorn + graceful shutdowns. + """ + pool = eventlet.greenpool.GreenPool(concurrency) + server_gt = eventlet.greenthread.getcurrent() + + while True: + try: + conn, addr = sock.accept() + gt = pool.spawn(handle, conn, addr) + gt.link(_eventlet_stop, server_gt, conn) + conn, addr, gt = None, None, None + except eventlet.StopServe: + sock.close() + pool.waitall() + return + + +def _eventlet_stop(client, server, conn): + """ + Stop a greenlet handling a request and close its connection. + + This code is lifted from eventlet so as not to depend on undocumented + functions in the library. + """ + try: + try: + client.wait() + finally: + conn.close() + except greenlet.GreenletExit: + pass + except Exception: + greenthread.kill(server, *sys.exc_info()) + + +def patch_sendfile(): + # As of eventlet 0.25.1, GreenSocket.sendfile doesn't exist, + # meaning the native implementations of socket.sendfile will be used. + # If os.sendfile exists, it will attempt to use that, failing explicitly + # if the socket is in non-blocking mode, which the underlying + # socket object /is/. Even the regular _sendfile_use_send will + # fail in that way; plus, it would use the underlying socket.send which isn't + # properly cooperative. So we have to monkey-patch a working socket.sendfile() + # into GreenSocket; in this method, `self.send` will be the GreenSocket's + # send method which is properly cooperative. + if not hasattr(GreenSocket, 'sendfile'): + GreenSocket.sendfile = _eventlet_socket_sendfile + + +class EventletWorker(AsyncWorker): + + def patch(self): + hubs.use_hub() + eventlet.monkey_patch() + patch_sendfile() + + def is_already_handled(self, respiter): + # eventlet >= 0.30.3 + if getattr(EVENTLET_WSGI_LOCAL, "already_handled", None): + raise StopIteration() + # eventlet < 0.30.3 + if respiter == EVENTLET_ALREADY_HANDLED: + raise StopIteration() + return super().is_already_handled(respiter) + + def init_process(self): + self.patch() + super().init_process() + + def handle_quit(self, sig, frame): + eventlet.spawn(super().handle_quit, sig, frame) + + def handle_usr1(self, sig, frame): + eventlet.spawn(super().handle_usr1, sig, frame) + + def timeout_ctx(self): + return eventlet.Timeout(self.cfg.keepalive or None, False) + + def handle(self, listener, client, addr): + if self.cfg.is_ssl: + client = ssl_wrap_socket(client, self.cfg) + super().handle(listener, client, addr) + + def run(self): + acceptors = [] + for sock in self.sockets: + gsock = GreenSocket(sock) + gsock.setblocking(1) + hfun = partial(self.handle, gsock) + acceptor = eventlet.spawn(_eventlet_serve, gsock, hfun, + self.worker_connections) + + acceptors.append(acceptor) + eventlet.sleep(0.0) + + while self.alive: + self.notify() + eventlet.sleep(1.0) + + self.notify() + t = None + try: + with eventlet.Timeout(self.cfg.graceful_timeout) as t: + for a in acceptors: + a.kill(eventlet.StopServe()) + for a in acceptors: + a.wait() + except eventlet.Timeout as te: + if te != t: + raise + for a in acceptors: + a.kill() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/ggevent.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/ggevent.py new file mode 100644 index 0000000000000000000000000000000000000000..b9b9b440857e8cfe0a8432891aa840ee588506cd --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/ggevent.py @@ -0,0 +1,193 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +import os +import sys +from datetime import datetime +from functools import partial +import time + +try: + import gevent +except ImportError: + raise RuntimeError("gevent worker requires gevent 1.4 or higher") +else: + from packaging.version import parse as parse_version + if parse_version(gevent.__version__) < parse_version('1.4'): + raise RuntimeError("gevent worker requires gevent 1.4 or higher") + +from gevent.pool import Pool +from gevent.server import StreamServer +from gevent import hub, monkey, socket, pywsgi + +import gunicorn +from gunicorn.http.wsgi import base_environ +from gunicorn.sock import ssl_context +from gunicorn.workers.base_async import AsyncWorker + +VERSION = "gevent/%s gunicorn/%s" % (gevent.__version__, gunicorn.__version__) + + +class GeventWorker(AsyncWorker): + + server_class = None + wsgi_handler = None + + def patch(self): + monkey.patch_all() + + # patch sockets + sockets = [] + for s in self.sockets: + sockets.append(socket.socket(s.FAMILY, socket.SOCK_STREAM, + fileno=s.sock.fileno())) + self.sockets = sockets + + def notify(self): + super().notify() + if self.ppid != os.getppid(): + self.log.info("Parent changed, shutting down: %s", self) + sys.exit(0) + + def timeout_ctx(self): + return gevent.Timeout(self.cfg.keepalive, False) + + def run(self): + servers = [] + ssl_args = {} + + if self.cfg.is_ssl: + ssl_args = {"ssl_context": ssl_context(self.cfg)} + + for s in self.sockets: + s.setblocking(1) + pool = Pool(self.worker_connections) + if self.server_class is not None: + environ = base_environ(self.cfg) + environ.update({ + "wsgi.multithread": True, + "SERVER_SOFTWARE": VERSION, + }) + server = self.server_class( + s, application=self.wsgi, spawn=pool, log=self.log, + handler_class=self.wsgi_handler, environ=environ, + **ssl_args) + else: + hfun = partial(self.handle, s) + server = StreamServer(s, handle=hfun, spawn=pool, **ssl_args) + if self.cfg.workers > 1: + server.max_accept = 1 + + server.start() + servers.append(server) + + while self.alive: + self.notify() + gevent.sleep(1.0) + + try: + # Stop accepting requests + for server in servers: + if hasattr(server, 'close'): # gevent 1.0 + server.close() + if hasattr(server, 'kill'): # gevent < 1.0 + server.kill() + + # Handle current requests until graceful_timeout + ts = time.time() + while time.time() - ts <= self.cfg.graceful_timeout: + accepting = 0 + for server in servers: + if server.pool.free_count() != server.pool.size: + accepting += 1 + + # if no server is accepting a connection, we can exit + if not accepting: + return + + self.notify() + gevent.sleep(1.0) + + # Force kill all active the handlers + self.log.warning("Worker graceful timeout (pid:%s)", self.pid) + for server in servers: + server.stop(timeout=1) + except Exception: + pass + + def handle(self, listener, client, addr): + # Connected socket timeout defaults to socket.getdefaulttimeout(). + # This forces to blocking mode. + client.setblocking(1) + super().handle(listener, client, addr) + + def handle_request(self, listener_name, req, sock, addr): + try: + super().handle_request(listener_name, req, sock, addr) + except gevent.GreenletExit: + pass + except SystemExit: + pass + + def handle_quit(self, sig, frame): + # Move this out of the signal handler so we can use + # blocking calls. See #1126 + gevent.spawn(super().handle_quit, sig, frame) + + def handle_usr1(self, sig, frame): + # Make the gevent workers handle the usr1 signal + # by deferring to a new greenlet. See #1645 + gevent.spawn(super().handle_usr1, sig, frame) + + def init_process(self): + self.patch() + hub.reinit() + super().init_process() + + +class GeventResponse: + + status = None + headers = None + sent = None + + def __init__(self, status, headers, clength): + self.status = status + self.headers = headers + self.sent = clength + + +class PyWSGIHandler(pywsgi.WSGIHandler): + + def log_request(self): + start = datetime.fromtimestamp(self.time_start) + finish = datetime.fromtimestamp(self.time_finish) + response_time = finish - start + resp_headers = getattr(self, 'response_headers', {}) + + # Status is expected to be a string but is encoded to bytes in gevent for PY3 + # Except when it isn't because gevent uses hardcoded strings for network errors. + status = self.status.decode() if isinstance(self.status, bytes) else self.status + resp = GeventResponse(status, resp_headers, self.response_length) + if hasattr(self, 'headers'): + req_headers = self.headers.items() + else: + req_headers = [] + self.server.log.access(resp, req_headers, self.environ, response_time) + + def get_environ(self): + env = super().get_environ() + env['gunicorn.sock'] = self.socket + env['RAW_URI'] = self.path + return env + + +class PyWSGIServer(pywsgi.WSGIServer): + pass + + +class GeventPyWSGIWorker(GeventWorker): + "The Gevent StreamServer based workers." + server_class = PyWSGIServer + wsgi_handler = PyWSGIHandler diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/gthread.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/gthread.py new file mode 100644 index 0000000000000000000000000000000000000000..7a23228cdd5d3a0f4d39833388a0f8780d1acbba --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/gthread.py @@ -0,0 +1,372 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +# design: +# A threaded worker accepts connections in the main loop, accepted +# connections are added to the thread pool as a connection job. +# Keepalive connections are put back in the loop waiting for an event. +# If no event happen after the keep alive timeout, the connection is +# closed. +# pylint: disable=no-else-break + +from concurrent import futures +import errno +import os +import selectors +import socket +import ssl +import sys +import time +from collections import deque +from datetime import datetime +from functools import partial +from threading import RLock + +from . import base +from .. import http +from .. import util +from .. import sock +from ..http import wsgi + + +class TConn: + + def __init__(self, cfg, sock, client, server): + self.cfg = cfg + self.sock = sock + self.client = client + self.server = server + + self.timeout = None + self.parser = None + self.initialized = False + + # set the socket to non blocking + self.sock.setblocking(False) + + def init(self): + self.initialized = True + self.sock.setblocking(True) + + if self.parser is None: + # wrap the socket if needed + if self.cfg.is_ssl: + self.sock = sock.ssl_wrap_socket(self.sock, self.cfg) + + # initialize the parser + self.parser = http.RequestParser(self.cfg, self.sock, self.client) + + def set_timeout(self): + # set the timeout + self.timeout = time.time() + self.cfg.keepalive + + def close(self): + util.close(self.sock) + + +class ThreadWorker(base.Worker): + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.worker_connections = self.cfg.worker_connections + self.max_keepalived = self.cfg.worker_connections - self.cfg.threads + # initialise the pool + self.tpool = None + self.poller = None + self._lock = None + self.futures = deque() + self._keep = deque() + self.nr_conns = 0 + + @classmethod + def check_config(cls, cfg, log): + max_keepalived = cfg.worker_connections - cfg.threads + + if max_keepalived <= 0 and cfg.keepalive: + log.warning("No keepalived connections can be handled. " + + "Check the number of worker connections and threads.") + + def init_process(self): + self.tpool = self.get_thread_pool() + self.poller = selectors.DefaultSelector() + self._lock = RLock() + super().init_process() + + def get_thread_pool(self): + """Override this method to customize how the thread pool is created""" + return futures.ThreadPoolExecutor(max_workers=self.cfg.threads) + + def handle_quit(self, sig, frame): + self.alive = False + # worker_int callback + self.cfg.worker_int(self) + self.tpool.shutdown(False) + time.sleep(0.1) + sys.exit(0) + + def _wrap_future(self, fs, conn): + fs.conn = conn + self.futures.append(fs) + fs.add_done_callback(self.finish_request) + + def enqueue_req(self, conn): + conn.init() + # submit the connection to a worker + fs = self.tpool.submit(self.handle, conn) + self._wrap_future(fs, conn) + + def accept(self, server, listener): + try: + sock, client = listener.accept() + # initialize the connection object + conn = TConn(self.cfg, sock, client, server) + + self.nr_conns += 1 + # wait until socket is readable + with self._lock: + self.poller.register(conn.sock, selectors.EVENT_READ, + partial(self.on_client_socket_readable, conn)) + except OSError as e: + if e.errno not in (errno.EAGAIN, errno.ECONNABORTED, + errno.EWOULDBLOCK): + raise + + def on_client_socket_readable(self, conn, client): + with self._lock: + # unregister the client from the poller + self.poller.unregister(client) + + if conn.initialized: + # remove the connection from keepalive + try: + self._keep.remove(conn) + except ValueError: + # race condition + return + + # submit the connection to a worker + self.enqueue_req(conn) + + def murder_keepalived(self): + now = time.time() + while True: + with self._lock: + try: + # remove the connection from the queue + conn = self._keep.popleft() + except IndexError: + break + + delta = conn.timeout - now + if delta > 0: + # add the connection back to the queue + with self._lock: + self._keep.appendleft(conn) + break + else: + self.nr_conns -= 1 + # remove the socket from the poller + with self._lock: + try: + self.poller.unregister(conn.sock) + except OSError as e: + if e.errno != errno.EBADF: + raise + except KeyError: + # already removed by the system, continue + pass + except ValueError: + # already removed by the system continue + pass + + # close the socket + conn.close() + + def is_parent_alive(self): + # If our parent changed then we shut down. + if self.ppid != os.getppid(): + self.log.info("Parent changed, shutting down: %s", self) + return False + return True + + def run(self): + # init listeners, add them to the event loop + for sock in self.sockets: + sock.setblocking(False) + # a race condition during graceful shutdown may make the listener + # name unavailable in the request handler so capture it once here + server = sock.getsockname() + acceptor = partial(self.accept, server) + self.poller.register(sock, selectors.EVENT_READ, acceptor) + + while self.alive: + # notify the arbiter we are alive + self.notify() + + # can we accept more connections? + if self.nr_conns < self.worker_connections: + # wait for an event + events = self.poller.select(1.0) + for key, _ in events: + callback = key.data + callback(key.fileobj) + + # check (but do not wait) for finished requests + result = futures.wait(self.futures, timeout=0, + return_when=futures.FIRST_COMPLETED) + else: + # wait for a request to finish + result = futures.wait(self.futures, timeout=1.0, + return_when=futures.FIRST_COMPLETED) + + # clean up finished requests + for fut in result.done: + self.futures.remove(fut) + + if not self.is_parent_alive(): + break + + # handle keepalive timeouts + self.murder_keepalived() + + self.tpool.shutdown(False) + self.poller.close() + + for s in self.sockets: + s.close() + + futures.wait(self.futures, timeout=self.cfg.graceful_timeout) + + def finish_request(self, fs): + if fs.cancelled(): + self.nr_conns -= 1 + fs.conn.close() + return + + try: + (keepalive, conn) = fs.result() + # if the connection should be kept alived add it + # to the eventloop and record it + if keepalive and self.alive: + # flag the socket as non blocked + conn.sock.setblocking(False) + + # register the connection + conn.set_timeout() + with self._lock: + self._keep.append(conn) + + # add the socket to the event loop + self.poller.register(conn.sock, selectors.EVENT_READ, + partial(self.on_client_socket_readable, conn)) + else: + self.nr_conns -= 1 + conn.close() + except Exception: + # an exception happened, make sure to close the + # socket. + self.nr_conns -= 1 + fs.conn.close() + + def handle(self, conn): + keepalive = False + req = None + try: + req = next(conn.parser) + if not req: + return (False, conn) + + # handle the request + keepalive = self.handle_request(req, conn) + if keepalive: + return (keepalive, conn) + except http.errors.NoMoreData as e: + self.log.debug("Ignored premature client disconnection. %s", e) + + except StopIteration as e: + self.log.debug("Closing connection. %s", e) + except ssl.SSLError as e: + if e.args[0] == ssl.SSL_ERROR_EOF: + self.log.debug("ssl connection closed") + conn.sock.close() + else: + self.log.debug("Error processing SSL request.") + self.handle_error(req, conn.sock, conn.client, e) + + except OSError as e: + if e.errno not in (errno.EPIPE, errno.ECONNRESET, errno.ENOTCONN): + self.log.exception("Socket error processing request.") + else: + if e.errno == errno.ECONNRESET: + self.log.debug("Ignoring connection reset") + elif e.errno == errno.ENOTCONN: + self.log.debug("Ignoring socket not connected") + else: + self.log.debug("Ignoring connection epipe") + except Exception as e: + self.handle_error(req, conn.sock, conn.client, e) + + return (False, conn) + + def handle_request(self, req, conn): + environ = {} + resp = None + try: + self.cfg.pre_request(self, req) + request_start = datetime.now() + resp, environ = wsgi.create(req, conn.sock, conn.client, + conn.server, self.cfg) + environ["wsgi.multithread"] = True + self.nr += 1 + if self.nr >= self.max_requests: + if self.alive: + self.log.info("Autorestarting worker after current request.") + self.alive = False + resp.force_close() + + if not self.alive or not self.cfg.keepalive: + resp.force_close() + elif len(self._keep) >= self.max_keepalived: + resp.force_close() + + respiter = self.wsgi(environ, resp.start_response) + try: + if isinstance(respiter, environ['wsgi.file_wrapper']): + resp.write_file(respiter) + else: + for item in respiter: + resp.write(item) + + resp.close() + finally: + request_time = datetime.now() - request_start + self.log.access(resp, req, environ, request_time) + if hasattr(respiter, "close"): + respiter.close() + + if resp.should_close(): + self.log.debug("Closing connection.") + return False + except OSError: + # pass to next try-except level + util.reraise(*sys.exc_info()) + except Exception: + if resp and resp.headers_sent: + # If the requests have already been sent, we should close the + # connection to indicate the error. + self.log.exception("Error handling request") + try: + conn.sock.shutdown(socket.SHUT_RDWR) + conn.sock.close() + except OSError: + pass + raise StopIteration() + raise + finally: + try: + self.cfg.post_request(self, req, environ, resp) + except Exception: + self.log.exception("Exception in post_request hook") + + return True diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/gtornado.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/gtornado.py new file mode 100644 index 0000000000000000000000000000000000000000..544af7d09abb6398869a3ed4e209c4e32b111d70 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/gtornado.py @@ -0,0 +1,166 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +import os +import sys + +try: + import tornado +except ImportError: + raise RuntimeError("You need tornado installed to use this worker.") +import tornado.web +import tornado.httpserver +from tornado.ioloop import IOLoop, PeriodicCallback +from tornado.wsgi import WSGIContainer +from gunicorn.workers.base import Worker +from gunicorn import __version__ as gversion +from gunicorn.sock import ssl_context + + +# Tornado 5.0 updated its IOLoop, and the `io_loop` arguments to many +# Tornado functions have been removed in Tornado 5.0. Also, they no +# longer store PeriodCallbacks in ioloop._callbacks. Instead we store +# them on our side, and use stop() on them when stopping the worker. +# See https://www.tornadoweb.org/en/stable/releases/v5.0.0.html#backwards-compatibility-notes +# for more details. +TORNADO5 = tornado.version_info >= (5, 0, 0) + + +class TornadoWorker(Worker): + + @classmethod + def setup(cls): + web = sys.modules.pop("tornado.web") + old_clear = web.RequestHandler.clear + + def clear(self): + old_clear(self) + if "Gunicorn" not in self._headers["Server"]: + self._headers["Server"] += " (Gunicorn/%s)" % gversion + web.RequestHandler.clear = clear + sys.modules["tornado.web"] = web + + def handle_exit(self, sig, frame): + if self.alive: + super().handle_exit(sig, frame) + + def handle_request(self): + self.nr += 1 + if self.alive and self.nr >= self.max_requests: + self.log.info("Autorestarting worker after current request.") + self.alive = False + + def watchdog(self): + if self.alive: + self.notify() + + if self.ppid != os.getppid(): + self.log.info("Parent changed, shutting down: %s", self) + self.alive = False + + def heartbeat(self): + if not self.alive: + if self.server_alive: + if hasattr(self, 'server'): + try: + self.server.stop() + except Exception: + pass + self.server_alive = False + else: + if TORNADO5: + for callback in self.callbacks: + callback.stop() + self.ioloop.stop() + else: + if not self.ioloop._callbacks: + self.ioloop.stop() + + def init_process(self): + # IOLoop cannot survive a fork or be shared across processes + # in any way. When multiple processes are being used, each process + # should create its own IOLoop. We should clear current IOLoop + # if exists before os.fork. + IOLoop.clear_current() + super().init_process() + + def run(self): + self.ioloop = IOLoop.instance() + self.alive = True + self.server_alive = False + + if TORNADO5: + self.callbacks = [] + self.callbacks.append(PeriodicCallback(self.watchdog, 1000)) + self.callbacks.append(PeriodicCallback(self.heartbeat, 1000)) + for callback in self.callbacks: + callback.start() + else: + PeriodicCallback(self.watchdog, 1000, io_loop=self.ioloop).start() + PeriodicCallback(self.heartbeat, 1000, io_loop=self.ioloop).start() + + # Assume the app is a WSGI callable if its not an + # instance of tornado.web.Application or is an + # instance of tornado.wsgi.WSGIApplication + app = self.wsgi + + if tornado.version_info[0] < 6: + if not isinstance(app, tornado.web.Application) or \ + isinstance(app, tornado.wsgi.WSGIApplication): + app = WSGIContainer(app) + elif not isinstance(app, WSGIContainer) and \ + not isinstance(app, tornado.web.Application): + app = WSGIContainer(app) + + # Monkey-patching HTTPConnection.finish to count the + # number of requests being handled by Tornado. This + # will help gunicorn shutdown the worker if max_requests + # is exceeded. + httpserver = sys.modules["tornado.httpserver"] + if hasattr(httpserver, 'HTTPConnection'): + old_connection_finish = httpserver.HTTPConnection.finish + + def finish(other): + self.handle_request() + old_connection_finish(other) + httpserver.HTTPConnection.finish = finish + sys.modules["tornado.httpserver"] = httpserver + + server_class = tornado.httpserver.HTTPServer + else: + + class _HTTPServer(tornado.httpserver.HTTPServer): + + def on_close(instance, server_conn): + self.handle_request() + super().on_close(server_conn) + + server_class = _HTTPServer + + if self.cfg.is_ssl: + if TORNADO5: + server = server_class(app, ssl_options=ssl_context(self.cfg)) + else: + server = server_class(app, io_loop=self.ioloop, + ssl_options=ssl_context(self.cfg)) + else: + if TORNADO5: + server = server_class(app) + else: + server = server_class(app, io_loop=self.ioloop) + + self.server = server + self.server_alive = True + + for s in self.sockets: + s.setblocking(0) + if hasattr(server, "add_socket"): # tornado > 2.0 + server.add_socket(s) + elif hasattr(server, "_sockets"): # tornado 2.0 + server._sockets[s.fileno()] = s + + server.no_keep_alive = self.cfg.keepalive <= 0 + server.start(num_processes=1) + + self.ioloop.start() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/sync.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/sync.py new file mode 100644 index 0000000000000000000000000000000000000000..4c029f9128ac564505abdd4a4b3ee5fc9b579861 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/sync.py @@ -0,0 +1,209 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. +# + +from datetime import datetime +import errno +import os +import select +import socket +import ssl +import sys + +from gunicorn import http +from gunicorn.http import wsgi +from gunicorn import sock +from gunicorn import util +from gunicorn.workers import base + + +class StopWaiting(Exception): + """ exception raised to stop waiting for a connection """ + + +class SyncWorker(base.Worker): + + def accept(self, listener): + client, addr = listener.accept() + client.setblocking(1) + util.close_on_exec(client) + self.handle(listener, client, addr) + + def wait(self, timeout): + try: + self.notify() + ret = select.select(self.wait_fds, [], [], timeout) + if ret[0]: + if self.PIPE[0] in ret[0]: + os.read(self.PIPE[0], 1) + return ret[0] + + except OSError as e: + if e.args[0] == errno.EINTR: + return self.sockets + if e.args[0] == errno.EBADF: + if self.nr < 0: + return self.sockets + else: + raise StopWaiting + raise + + def is_parent_alive(self): + # If our parent changed then we shut down. + if self.ppid != os.getppid(): + self.log.info("Parent changed, shutting down: %s", self) + return False + return True + + def run_for_one(self, timeout): + listener = self.sockets[0] + while self.alive: + self.notify() + + # Accept a connection. If we get an error telling us + # that no connection is waiting we fall down to the + # select which is where we'll wait for a bit for new + # workers to come give us some love. + try: + self.accept(listener) + # Keep processing clients until no one is waiting. This + # prevents the need to select() for every client that we + # process. + continue + + except OSError as e: + if e.errno not in (errno.EAGAIN, errno.ECONNABORTED, + errno.EWOULDBLOCK): + raise + + if not self.is_parent_alive(): + return + + try: + self.wait(timeout) + except StopWaiting: + return + + def run_for_multiple(self, timeout): + while self.alive: + self.notify() + + try: + ready = self.wait(timeout) + except StopWaiting: + return + + if ready is not None: + for listener in ready: + if listener == self.PIPE[0]: + continue + + try: + self.accept(listener) + except OSError as e: + if e.errno not in (errno.EAGAIN, errno.ECONNABORTED, + errno.EWOULDBLOCK): + raise + + if not self.is_parent_alive(): + return + + def run(self): + # if no timeout is given the worker will never wait and will + # use the CPU for nothing. This minimal timeout prevent it. + timeout = self.timeout or 0.5 + + # self.socket appears to lose its blocking status after + # we fork in the arbiter. Reset it here. + for s in self.sockets: + s.setblocking(0) + + if len(self.sockets) > 1: + self.run_for_multiple(timeout) + else: + self.run_for_one(timeout) + + def handle(self, listener, client, addr): + req = None + try: + if self.cfg.is_ssl: + client = sock.ssl_wrap_socket(client, self.cfg) + parser = http.RequestParser(self.cfg, client, addr) + req = next(parser) + self.handle_request(listener, req, client, addr) + except http.errors.NoMoreData as e: + self.log.debug("Ignored premature client disconnection. %s", e) + except StopIteration as e: + self.log.debug("Closing connection. %s", e) + except ssl.SSLError as e: + if e.args[0] == ssl.SSL_ERROR_EOF: + self.log.debug("ssl connection closed") + client.close() + else: + self.log.debug("Error processing SSL request.") + self.handle_error(req, client, addr, e) + except OSError as e: + if e.errno not in (errno.EPIPE, errno.ECONNRESET, errno.ENOTCONN): + self.log.exception("Socket error processing request.") + else: + if e.errno == errno.ECONNRESET: + self.log.debug("Ignoring connection reset") + elif e.errno == errno.ENOTCONN: + self.log.debug("Ignoring socket not connected") + else: + self.log.debug("Ignoring EPIPE") + except BaseException as e: + self.handle_error(req, client, addr, e) + finally: + util.close(client) + + def handle_request(self, listener, req, client, addr): + environ = {} + resp = None + try: + self.cfg.pre_request(self, req) + request_start = datetime.now() + resp, environ = wsgi.create(req, client, addr, + listener.getsockname(), self.cfg) + # Force the connection closed until someone shows + # a buffering proxy that supports Keep-Alive to + # the backend. + resp.force_close() + self.nr += 1 + if self.nr >= self.max_requests: + self.log.info("Autorestarting worker after current request.") + self.alive = False + respiter = self.wsgi(environ, resp.start_response) + try: + if isinstance(respiter, environ['wsgi.file_wrapper']): + resp.write_file(respiter) + else: + for item in respiter: + resp.write(item) + resp.close() + finally: + request_time = datetime.now() - request_start + self.log.access(resp, req, environ, request_time) + if hasattr(respiter, "close"): + respiter.close() + except OSError: + # pass to next try-except level + util.reraise(*sys.exc_info()) + except Exception: + if resp and resp.headers_sent: + # If the requests have already been sent, we should close the + # connection to indicate the error. + self.log.exception("Error handling request") + try: + client.shutdown(socket.SHUT_RDWR) + client.close() + except OSError: + pass + raise StopIteration() + raise + finally: + try: + self.cfg.post_request(self, req, environ, resp) + except Exception: + self.log.exception("Exception in post_request hook") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/workertmp.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/workertmp.py new file mode 100644 index 0000000000000000000000000000000000000000..8ef00a560c4818c00895ed92db011d7682216ff3 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/gunicorn/workers/workertmp.py @@ -0,0 +1,53 @@ +# +# This file is part of gunicorn released under the MIT license. +# See the NOTICE for more information. + +import os +import time +import platform +import tempfile + +from gunicorn import util + +PLATFORM = platform.system() +IS_CYGWIN = PLATFORM.startswith('CYGWIN') + + +class WorkerTmp: + + def __init__(self, cfg): + old_umask = os.umask(cfg.umask) + fdir = cfg.worker_tmp_dir + if fdir and not os.path.isdir(fdir): + raise RuntimeError("%s doesn't exist. Can't create workertmp." % fdir) + fd, name = tempfile.mkstemp(prefix="wgunicorn-", dir=fdir) + os.umask(old_umask) + + # change the owner and group of the file if the worker will run as + # a different user or group, so that the worker can modify the file + if cfg.uid != os.geteuid() or cfg.gid != os.getegid(): + util.chown(name, cfg.uid, cfg.gid) + + # unlink the file so we don't leak temporary files + try: + if not IS_CYGWIN: + util.unlink(name) + # In Python 3.8, open() emits RuntimeWarning if buffering=1 for binary mode. + # Because we never write to this file, pass 0 to switch buffering off. + self._tmp = os.fdopen(fd, 'w+b', 0) + except Exception: + os.close(fd) + raise + + def notify(self): + new_time = time.monotonic() + os.utime(self._tmp.fileno(), (new_time, new_time)) + + def last_update(self): + return os.fstat(self._tmp.fileno()).st_mtime + + def fileno(self): + return self._tmp.fileno() + + def close(self): + return self._tmp.close() diff --git 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b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/__init__.py @@ -0,0 +1,5 @@ +from .parser import * # NoQA +from .errors import * # NoQA +from .url_parser import * # NoQA + +__all__ = parser.__all__ + errors.__all__ + url_parser.__all__ # NoQA diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..21a558584211471ae3a81df2a7a94a9953b74a59 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/__pycache__/__init__.cpython-312.pyc differ diff --git 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b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/cparser.pxd @@ -0,0 +1,167 @@ +from libc.stdint cimport int32_t, uint8_t, uint16_t, uint64_t + + +cdef extern from "llhttp.h": + struct llhttp__internal_s: + int32_t _index + void *_span_pos0 + void *_span_cb0 + int32_t error + const char *reason + const char *error_pos + void *data + void *_current + uint64_t content_length + uint8_t type + uint8_t method + uint8_t http_major + uint8_t http_minor + uint8_t header_state + uint16_t flags + uint8_t upgrade + uint16_t status_code + uint8_t finish + void *settings + ctypedef llhttp__internal_s llhttp__internal_t + ctypedef llhttp__internal_t llhttp_t + + ctypedef int (*llhttp_data_cb) (llhttp_t*, + const char *at, + size_t length) except -1 + + ctypedef int (*llhttp_cb) (llhttp_t*) except -1 + + struct llhttp_settings_s: + llhttp_cb on_message_begin + llhttp_data_cb on_url + llhttp_data_cb on_status + llhttp_data_cb on_header_field + llhttp_data_cb on_header_value + llhttp_cb on_headers_complete + llhttp_data_cb on_body + llhttp_cb on_message_complete + llhttp_cb on_chunk_header + llhttp_cb on_chunk_complete + ctypedef llhttp_settings_s llhttp_settings_t + + enum llhttp_type: + HTTP_BOTH, + HTTP_REQUEST, + HTTP_RESPONSE + ctypedef llhttp_type llhttp_type_t + + enum llhttp_errno: + HPE_OK, + HPE_INTERNAL, + HPE_STRICT, + HPE_LF_EXPECTED, + HPE_UNEXPECTED_CONTENT_LENGTH, + HPE_CLOSED_CONNECTION, + HPE_INVALID_METHOD, + HPE_INVALID_URL, + HPE_INVALID_CONSTANT, + HPE_INVALID_VERSION, + HPE_INVALID_HEADER_TOKEN, + HPE_INVALID_CONTENT_LENGTH, + HPE_INVALID_CHUNK_SIZE, + HPE_INVALID_STATUS, + HPE_INVALID_EOF_STATE, + HPE_INVALID_TRANSFER_ENCODING, + HPE_CB_MESSAGE_BEGIN, + HPE_CB_HEADERS_COMPLETE, + HPE_CB_MESSAGE_COMPLETE, + HPE_CB_CHUNK_HEADER, + HPE_CB_CHUNK_COMPLETE, + HPE_PAUSED, + HPE_PAUSED_UPGRADE, + HPE_USER + ctypedef llhttp_errno llhttp_errno_t + + enum llhttp_flags: + F_CONNECTION_KEEP_ALIVE, + F_CONNECTION_CLOSE, + F_CONNECTION_UPGRADE, + F_CHUNKED, + F_UPGRADE, + F_CONTENT_LENGTH, + F_SKIPBODY, + F_TRAILING, + F_LENIENT, + F_TRANSFER_ENCODING + ctypedef llhttp_flags llhttp_flags_t + + enum llhttp_method: + HTTP_DELETE, + HTTP_GET, + HTTP_HEAD, + HTTP_POST, + HTTP_PUT, + HTTP_CONNECT, + HTTP_OPTIONS, + HTTP_TRACE, + HTTP_COPY, + HTTP_LOCK, + HTTP_MKCOL, + HTTP_MOVE, + HTTP_PROPFIND, + HTTP_PROPPATCH, + HTTP_SEARCH, + HTTP_UNLOCK, + HTTP_BIND, + HTTP_REBIND, + HTTP_UNBIND, + HTTP_ACL, + HTTP_REPORT, + HTTP_MKACTIVITY, + HTTP_CHECKOUT, + HTTP_MERGE, + HTTP_MSEARCH, + HTTP_NOTIFY, + HTTP_SUBSCRIBE, + HTTP_UNSUBSCRIBE, + HTTP_PATCH, + HTTP_PURGE, + HTTP_MKCALENDAR, + HTTP_LINK, + HTTP_UNLINK, + HTTP_SOURCE, + HTTP_PRI, + HTTP_DESCRIBE, + HTTP_ANNOUNCE, + HTTP_SETUP, + HTTP_PLAY, + HTTP_PAUSE, + HTTP_TEARDOWN, + HTTP_GET_PARAMETER, + HTTP_SET_PARAMETER, + HTTP_REDIRECT, + HTTP_RECORD, + HTTP_FLUSH + ctypedef llhttp_method llhttp_method_t + + void llhttp_init(llhttp_t* parser, llhttp_type_t type, const llhttp_settings_t* settings) + + void llhttp_settings_init(llhttp_settings_t* settings) + + llhttp_errno_t llhttp_execute(llhttp_t* parser, const char* data, size_t len) + + void llhttp_resume_after_upgrade(llhttp_t* parser) + + int llhttp_should_keep_alive(const llhttp_t* parser) + + const char* llhttp_get_error_pos(const llhttp_t* parser) + const char* llhttp_get_error_reason(const llhttp_t* parser) + const char* llhttp_method_name(llhttp_method_t method) + + void llhttp_set_error_reason(llhttp_t* parser, const char* reason); + + void llhttp_set_lenient_headers(llhttp_t* parser, bint enabled); + void llhttp_set_lenient_chunked_length(llhttp_t* parser, bint enabled); + void llhttp_set_lenient_keep_alive(llhttp_t* parser, bint enabled); + void llhttp_set_lenient_transfer_encoding(llhttp_t* parser, bint enabled); + void llhttp_set_lenient_version(llhttp_t* parser, bint enabled); + void llhttp_set_lenient_data_after_close(llhttp_t* parser, bint enabled); + void llhttp_set_lenient_optional_lf_after_cr(llhttp_t* parser, bint enabled); + void llhttp_set_lenient_optional_cr_before_lf(llhttp_t* parser, bint enabled); + void llhttp_set_lenient_optional_crlf_after_chunk(llhttp_t* parser, bint enabled); + void llhttp_set_lenient_spaces_after_chunk_size(llhttp_t* parser, bint enabled); diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/errors.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/errors.py new file mode 100644 index 0000000000000000000000000000000000000000..bc24c4661c98aeb75e56a47d7448b84f489daebf --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/errors.py @@ -0,0 +1,30 @@ +__all__ = ('HttpParserError', + 'HttpParserCallbackError', + 'HttpParserInvalidStatusError', + 'HttpParserInvalidMethodError', + 'HttpParserInvalidURLError', + 'HttpParserUpgrade') + + +class HttpParserError(Exception): + pass + + +class HttpParserCallbackError(HttpParserError): + pass + + +class HttpParserInvalidStatusError(HttpParserError): + pass + + +class HttpParserInvalidMethodError(HttpParserError): + pass + + +class HttpParserInvalidURLError(HttpParserError): + pass + + +class HttpParserUpgrade(Exception): + pass diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/parser.pyx b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/parser.pyx new file mode 100644 index 0000000000000000000000000000000000000000..2fa5026375e8004fc44c116169ea8418b4261f3a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/parser.pyx @@ -0,0 +1,436 @@ +#cython: language_level=3 + +from __future__ import print_function +from typing import Optional + +from cpython.mem cimport PyMem_Malloc, PyMem_Free +from cpython cimport PyObject_GetBuffer, PyBuffer_Release, PyBUF_SIMPLE, \ + Py_buffer, PyBytes_AsString + +from .python cimport PyMemoryView_Check, PyMemoryView_GET_BUFFER + + +from .errors import (HttpParserError, + HttpParserCallbackError, + HttpParserInvalidStatusError, + HttpParserInvalidMethodError, + HttpParserInvalidURLError, + HttpParserUpgrade) + +cimport cython +from . cimport cparser + + +__all__ = ('HttpRequestParser', 'HttpResponseParser') + + +@cython.internal +cdef class HttpParser: + + cdef: + cparser.llhttp_t* _cparser + cparser.llhttp_settings_t* _csettings + + bytes _current_header_name + bytes _current_header_value + + _proto_on_url, _proto_on_status, _proto_on_body, \ + _proto_on_header, _proto_on_headers_complete, \ + _proto_on_message_complete, _proto_on_chunk_header, \ + _proto_on_chunk_complete, _proto_on_message_begin + + object _last_error + + Py_buffer py_buf + + def __cinit__(self): + self._cparser = \ + PyMem_Malloc(sizeof(cparser.llhttp_t)) + if self._cparser is NULL: + raise MemoryError() + + self._csettings = \ + PyMem_Malloc(sizeof(cparser.llhttp_settings_t)) + if self._csettings is NULL: + raise MemoryError() + + def __dealloc__(self): + PyMem_Free(self._cparser) + PyMem_Free(self._csettings) + + cdef _init(self, protocol, cparser.llhttp_type_t mode): + cparser.llhttp_settings_init(self._csettings) + + cparser.llhttp_init(self._cparser, mode, self._csettings) + self._cparser.data = self + + self._current_header_name = None + self._current_header_value = None + + self._proto_on_header = getattr(protocol, 'on_header', None) + if self._proto_on_header is not None: + self._csettings.on_header_field = cb_on_header_field + self._csettings.on_header_value = cb_on_header_value + self._proto_on_headers_complete = getattr( + protocol, 'on_headers_complete', None) + self._csettings.on_headers_complete = cb_on_headers_complete + + self._proto_on_body = getattr(protocol, 'on_body', None) + if self._proto_on_body is not None: + self._csettings.on_body = cb_on_body + + self._proto_on_message_begin = getattr( + protocol, 'on_message_begin', None) + if self._proto_on_message_begin is not None: + self._csettings.on_message_begin = cb_on_message_begin + + self._proto_on_message_complete = getattr( + protocol, 'on_message_complete', None) + if self._proto_on_message_complete is not None: + self._csettings.on_message_complete = cb_on_message_complete + + self._proto_on_chunk_header = getattr( + protocol, 'on_chunk_header', None) + self._csettings.on_chunk_header = cb_on_chunk_header + + self._proto_on_chunk_complete = getattr( + protocol, 'on_chunk_complete', None) + self._csettings.on_chunk_complete = cb_on_chunk_complete + + self._last_error = None + + cdef _maybe_call_on_header(self): + if self._current_header_value is not None: + current_header_name = self._current_header_name + current_header_value = self._current_header_value + + self._current_header_name = self._current_header_value = None + + if self._proto_on_header is not None: + self._proto_on_header(current_header_name, + current_header_value) + + cdef _on_header_field(self, bytes field): + self._maybe_call_on_header() + if self._current_header_name is None: + self._current_header_name = field + else: + self._current_header_name += field + + cdef _on_header_value(self, bytes val): + if self._current_header_value is None: + self._current_header_value = val + else: + # This is unlikely, as mostly HTTP headers are one-line + self._current_header_value += val + + cdef _on_headers_complete(self): + self._maybe_call_on_header() + + if self._proto_on_headers_complete is not None: + self._proto_on_headers_complete() + + cdef _on_chunk_header(self): + if (self._current_header_value is not None or + self._current_header_name is not None): + raise HttpParserError('invalid headers state') + + if self._proto_on_chunk_header is not None: + self._proto_on_chunk_header() + + cdef _on_chunk_complete(self): + self._maybe_call_on_header() + + if self._proto_on_chunk_complete is not None: + self._proto_on_chunk_complete() + + ### Public API ### + + def set_dangerous_leniencies( + self, + lenient_headers: Optional[bool] = None, + lenient_chunked_length: Optional[bool] = None, + lenient_keep_alive: Optional[bool] = None, + lenient_transfer_encoding: Optional[bool] = None, + lenient_version: Optional[bool] = None, + lenient_data_after_close: Optional[bool] = None, + lenient_optional_lf_after_cr: Optional[bool] = None, + lenient_optional_cr_before_lf: Optional[bool] = None, + lenient_optional_crlf_after_chunk: Optional[bool] = None, + lenient_spaces_after_chunk_size: Optional[bool] = None, + ): + cdef cparser.llhttp_t* parser = self._cparser + if lenient_headers is not None: + cparser.llhttp_set_lenient_headers( + parser, lenient_headers) + if lenient_chunked_length is not None: + cparser.llhttp_set_lenient_chunked_length( + parser, lenient_chunked_length) + if lenient_keep_alive is not None: + cparser.llhttp_set_lenient_keep_alive( + parser, lenient_keep_alive) + if lenient_transfer_encoding is not None: + cparser.llhttp_set_lenient_transfer_encoding( + parser, lenient_transfer_encoding) + if lenient_version is not None: + cparser.llhttp_set_lenient_version( + parser, lenient_version) + if lenient_data_after_close is not None: + cparser.llhttp_set_lenient_data_after_close( + parser, lenient_data_after_close) + if lenient_optional_lf_after_cr is not None: + cparser.llhttp_set_lenient_optional_lf_after_cr( + parser, lenient_optional_lf_after_cr) + if lenient_optional_cr_before_lf is not None: + cparser.llhttp_set_lenient_optional_cr_before_lf( + parser, lenient_optional_cr_before_lf) + if lenient_optional_crlf_after_chunk is not None: + cparser.llhttp_set_lenient_optional_crlf_after_chunk( + parser, lenient_optional_crlf_after_chunk) + if lenient_spaces_after_chunk_size is not None: + cparser.llhttp_set_lenient_spaces_after_chunk_size( + parser, lenient_spaces_after_chunk_size) + + def get_http_version(self): + cdef cparser.llhttp_t* parser = self._cparser + return '{}.{}'.format(parser.http_major, parser.http_minor) + + def should_keep_alive(self): + return bool(cparser.llhttp_should_keep_alive(self._cparser)) + + def should_upgrade(self): + cdef cparser.llhttp_t* parser = self._cparser + return bool(parser.upgrade) + + def feed_data(self, data): + cdef: + size_t data_len + cparser.llhttp_errno_t err + Py_buffer *buf + bint owning_buf = False + const char* err_pos + + if PyMemoryView_Check(data): + buf = PyMemoryView_GET_BUFFER(data) + data_len = buf.len + err = cparser.llhttp_execute( + self._cparser, + buf.buf, + data_len) + + else: + buf = &self.py_buf + PyObject_GetBuffer(data, buf, PyBUF_SIMPLE) + owning_buf = True + data_len = buf.len + + err = cparser.llhttp_execute( + self._cparser, + buf.buf, + data_len) + + try: + if self._cparser.upgrade == 1 and err == cparser.HPE_PAUSED_UPGRADE: + err_pos = cparser.llhttp_get_error_pos(self._cparser) + + # Immediately free the parser from "error" state, simulating + # http-parser behavior here because 1) we never had the API to + # allow users manually "resume after upgrade", and 2) the use + # case for resuming parsing is very rare. + cparser.llhttp_resume_after_upgrade(self._cparser) + + # The err_pos here is specific for the input buf. So if we ever + # switch to the llhttp behavior (re-raise HttpParserUpgrade for + # successive calls to feed_data() until resume_after_upgrade is + # called), we have to store the result and keep our own state. + raise HttpParserUpgrade(err_pos - buf.buf) + finally: + if owning_buf: + PyBuffer_Release(buf) + + if err != cparser.HPE_OK: + ex = parser_error_from_errno( + self._cparser, + self._cparser.error) + if isinstance(ex, HttpParserCallbackError): + if self._last_error is not None: + ex.__context__ = self._last_error + self._last_error = None + raise ex + + +cdef class HttpRequestParser(HttpParser): + + def __init__(self, protocol): + self._init(protocol, cparser.HTTP_REQUEST) + + self._proto_on_url = getattr(protocol, 'on_url', None) + if self._proto_on_url is not None: + self._csettings.on_url = cb_on_url + + def get_method(self): + cdef cparser.llhttp_t* parser = self._cparser + return cparser.llhttp_method_name( parser.method) + + +cdef class HttpResponseParser(HttpParser): + + def __init__(self, protocol): + self._init(protocol, cparser.HTTP_RESPONSE) + + self._proto_on_status = getattr(protocol, 'on_status', None) + if self._proto_on_status is not None: + self._csettings.on_status = cb_on_status + + def get_status_code(self): + cdef cparser.llhttp_t* parser = self._cparser + return parser.status_code + + +cdef int cb_on_message_begin(cparser.llhttp_t* parser) except -1: + cdef HttpParser pyparser = parser.data + try: + pyparser._proto_on_message_begin() + except BaseException as ex: + pyparser._last_error = ex + return -1 + else: + return 0 + + +cdef int cb_on_url(cparser.llhttp_t* parser, + const char *at, size_t length) except -1: + cdef HttpParser pyparser = parser.data + try: + pyparser._proto_on_url(at[:length]) + except BaseException as ex: + cparser.llhttp_set_error_reason(parser, "`on_url` callback error") + pyparser._last_error = ex + return cparser.HPE_USER + else: + return 0 + + +cdef int cb_on_status(cparser.llhttp_t* parser, + const char *at, size_t length) except -1: + cdef HttpParser pyparser = parser.data + try: + pyparser._proto_on_status(at[:length]) + except BaseException as ex: + cparser.llhttp_set_error_reason(parser, "`on_status` callback error") + pyparser._last_error = ex + return cparser.HPE_USER + else: + return 0 + + +cdef int cb_on_header_field(cparser.llhttp_t* parser, + const char *at, size_t length) except -1: + cdef HttpParser pyparser = parser.data + try: + pyparser._on_header_field(at[:length]) + except BaseException as ex: + cparser.llhttp_set_error_reason(parser, "`on_header_field` callback error") + pyparser._last_error = ex + return cparser.HPE_USER + else: + return 0 + + +cdef int cb_on_header_value(cparser.llhttp_t* parser, + const char *at, size_t length) except -1: + cdef HttpParser pyparser = parser.data + try: + pyparser._on_header_value(at[:length]) + except BaseException as ex: + cparser.llhttp_set_error_reason(parser, "`on_header_value` callback error") + pyparser._last_error = ex + return cparser.HPE_USER + else: + return 0 + + +cdef int cb_on_headers_complete(cparser.llhttp_t* parser) except -1: + cdef HttpParser pyparser = parser.data + try: + pyparser._on_headers_complete() + except BaseException as ex: + pyparser._last_error = ex + return -1 + else: + if pyparser._cparser.upgrade: + return 1 + else: + return 0 + + +cdef int cb_on_body(cparser.llhttp_t* parser, + const char *at, size_t length) except -1: + cdef HttpParser pyparser = parser.data + try: + pyparser._proto_on_body(at[:length]) + except BaseException as ex: + cparser.llhttp_set_error_reason(parser, "`on_body` callback error") + pyparser._last_error = ex + return cparser.HPE_USER + else: + return 0 + + +cdef int cb_on_message_complete(cparser.llhttp_t* parser) except -1: + cdef HttpParser pyparser = parser.data + try: + pyparser._proto_on_message_complete() + except BaseException as ex: + pyparser._last_error = ex + return -1 + else: + return 0 + + +cdef int cb_on_chunk_header(cparser.llhttp_t* parser) except -1: + cdef HttpParser pyparser = parser.data + try: + pyparser._on_chunk_header() + except BaseException as ex: + pyparser._last_error = ex + return -1 + else: + return 0 + + +cdef int cb_on_chunk_complete(cparser.llhttp_t* parser) except -1: + cdef HttpParser pyparser = parser.data + try: + pyparser._on_chunk_complete() + except BaseException as ex: + pyparser._last_error = ex + return -1 + else: + return 0 + + +cdef parser_error_from_errno(cparser.llhttp_t* parser, cparser.llhttp_errno_t errno): + cdef bytes reason = cparser.llhttp_get_error_reason(parser) + + if errno in (cparser.HPE_CB_MESSAGE_BEGIN, + cparser.HPE_CB_HEADERS_COMPLETE, + cparser.HPE_CB_MESSAGE_COMPLETE, + cparser.HPE_CB_CHUNK_HEADER, + cparser.HPE_CB_CHUNK_COMPLETE, + cparser.HPE_USER): + cls = HttpParserCallbackError + + elif errno == cparser.HPE_INVALID_STATUS: + cls = HttpParserInvalidStatusError + + elif errno == cparser.HPE_INVALID_METHOD: + cls = HttpParserInvalidMethodError + + elif errno == cparser.HPE_INVALID_URL: + cls = HttpParserInvalidURLError + + else: + cls = HttpParserError + + return cls(reason.decode('latin-1')) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/python.pxd b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/python.pxd new file mode 100644 index 0000000000000000000000000000000000000000..8e95925582da55a3ce8cfd011cb332f8a600eb26 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/python.pxd @@ -0,0 +1,6 @@ +cimport cpython + + +cdef extern from "Python.h": + cpython.Py_buffer* PyMemoryView_GET_BUFFER(object) + bint PyMemoryView_Check(object) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/url_cparser.pxd b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/url_cparser.pxd new file mode 100644 index 0000000000000000000000000000000000000000..ab9265a22d0e8e59e8959313430f6324d777b8ce --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/url_cparser.pxd @@ -0,0 +1,31 @@ +from libc.stdint cimport uint16_t + + +cdef extern from "http_parser.h": + # URL Parser + + enum http_parser_url_fields: + UF_SCHEMA = 0, + UF_HOST = 1, + UF_PORT = 2, + UF_PATH = 3, + UF_QUERY = 4, + UF_FRAGMENT = 5, + UF_USERINFO = 6, + UF_MAX = 7 + + struct http_parser_url_field_data: + uint16_t off + uint16_t len + + struct http_parser_url: + uint16_t field_set + uint16_t port + http_parser_url_field_data[UF_MAX] field_data + + void http_parser_url_init(http_parser_url *u) + + int http_parser_parse_url(const char *buf, + size_t buflen, + int is_connect, + http_parser_url *u) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/url_parser.pyx b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/url_parser.pyx new file mode 100644 index 0000000000000000000000000000000000000000..49908f34e3edde654cd7dae87487f724d340cfcc --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/httptools/parser/url_parser.pyx @@ -0,0 +1,108 @@ +#cython: language_level=3 + +from __future__ import print_function +from cpython.mem cimport PyMem_Malloc, PyMem_Free +from cpython cimport PyObject_GetBuffer, PyBuffer_Release, PyBUF_SIMPLE, \ + Py_buffer + +from .errors import HttpParserInvalidURLError + +cimport cython +from . cimport url_cparser as uparser + +__all__ = ('parse_url',) + +@cython.freelist(250) +cdef class URL: + cdef readonly bytes schema + cdef readonly bytes host + cdef readonly object port + cdef readonly bytes path + cdef readonly bytes query + cdef readonly bytes fragment + cdef readonly bytes userinfo + + def __cinit__(self, bytes schema, bytes host, object port, bytes path, + bytes query, bytes fragment, bytes userinfo): + + self.schema = schema + self.host = host + self.port = port + self.path = path + self.query = query + self.fragment = fragment + self.userinfo = userinfo + + def __repr__(self): + return ('' + .format(self.schema, self.host, self.port, self.path, + self.query, self.fragment, self.userinfo)) + + +def parse_url(url): + cdef: + Py_buffer py_buf + char* buf_data + uparser.http_parser_url* parsed + int res + bytes schema = None + bytes host = None + object port = None + bytes path = None + bytes query = None + bytes fragment = None + bytes userinfo = None + object result = None + int off + int ln + + parsed = \ + PyMem_Malloc(sizeof(uparser.http_parser_url)) + uparser.http_parser_url_init(parsed) + + PyObject_GetBuffer(url, &py_buf, PyBUF_SIMPLE) + try: + buf_data = py_buf.buf + res = uparser.http_parser_parse_url(buf_data, py_buf.len, 0, parsed) + + if res == 0: + if parsed.field_set & (1 << uparser.UF_SCHEMA): + off = parsed.field_data[uparser.UF_SCHEMA].off + ln = parsed.field_data[uparser.UF_SCHEMA].len + schema = buf_data[off:off+ln] + + if parsed.field_set & (1 << uparser.UF_HOST): + off = parsed.field_data[uparser.UF_HOST].off + ln = parsed.field_data[uparser.UF_HOST].len + host = buf_data[off:off+ln] + + if parsed.field_set & (1 << uparser.UF_PORT): + port = parsed.port + + if parsed.field_set & (1 << uparser.UF_PATH): + off = parsed.field_data[uparser.UF_PATH].off + ln = parsed.field_data[uparser.UF_PATH].len + path = buf_data[off:off+ln] + + if parsed.field_set & (1 << uparser.UF_QUERY): + off = parsed.field_data[uparser.UF_QUERY].off + ln = parsed.field_data[uparser.UF_QUERY].len + query = buf_data[off:off+ln] + + if parsed.field_set & (1 << uparser.UF_FRAGMENT): + off = parsed.field_data[uparser.UF_FRAGMENT].off + ln = parsed.field_data[uparser.UF_FRAGMENT].len + fragment = buf_data[off:off+ln] + + if parsed.field_set & (1 << uparser.UF_USERINFO): + off = parsed.field_data[uparser.UF_USERINFO].off + ln = parsed.field_data[uparser.UF_USERINFO].len + userinfo = buf_data[off:off+ln] + + return URL(schema, host, port, path, query, fragment, userinfo) + else: + raise HttpParserInvalidURLError("invalid url {!r}".format(url)) + finally: + PyBuffer_Release(&py_buf) + PyMem_Free(parsed) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a83790470cdcd534576a1ed6500fdbd88d9b79fd Binary files /dev/null and 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All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from abc import ABC, abstractmethod +from argparse import _SubParsersAction + + +class BaseHuggingfaceCLICommand(ABC): + @staticmethod + @abstractmethod + def register_subcommand(parser: _SubParsersAction): + raise NotImplementedError() + + @abstractmethod + def run(self): + raise NotImplementedError() diff --git 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b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/__pycache__/upload_large_folder.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/_cli_utils.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/_cli_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..bd56ad6896db2a257323e022896940c0ba0d68d3 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/_cli_utils.py @@ -0,0 +1,69 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains a utility for good-looking prints.""" + +import os +from typing import List, Union + + +class ANSI: + """ + Helper for en.wikipedia.org/wiki/ANSI_escape_code + """ + + _bold = "\u001b[1m" + _gray = "\u001b[90m" + _red = "\u001b[31m" + _reset = "\u001b[0m" + _yellow = "\u001b[33m" + + @classmethod + def bold(cls, s: str) -> str: + return cls._format(s, cls._bold) + + @classmethod + def gray(cls, s: str) -> str: + return cls._format(s, cls._gray) + + @classmethod + def red(cls, s: str) -> str: + return cls._format(s, cls._bold + cls._red) + + @classmethod + def yellow(cls, s: str) -> str: + return cls._format(s, cls._yellow) + + @classmethod + def _format(cls, s: str, code: str) -> str: + if os.environ.get("NO_COLOR"): + # See https://no-color.org/ + return s + return f"{code}{s}{cls._reset}" + + +def tabulate(rows: List[List[Union[str, int]]], headers: List[str]) -> str: + """ + Inspired by: + + - stackoverflow.com/a/8356620/593036 + - stackoverflow.com/questions/9535954/printing-lists-as-tabular-data + """ + col_widths = [max(len(str(x)) for x in col) for col in zip(*rows, headers)] + row_format = ("{{:{}}} " * len(headers)).format(*col_widths) + lines = [] + lines.append(row_format.format(*headers)) + lines.append(row_format.format(*["-" * w for w in col_widths])) + for row in rows: + lines.append(row_format.format(*row)) + return "\n".join(lines) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/auth.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/auth.py new file mode 100644 index 0000000000000000000000000000000000000000..c4c5952ea8aca76bf1c2e75a39e23ac15a913060 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/auth.py @@ -0,0 +1,213 @@ +# Copyright 2020 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains commands to authenticate to the Hugging Face Hub and interact with your repositories. + +Usage: + # login and save token locally. + hf auth login --token=hf_*** --add-to-git-credential + + # switch between tokens + hf auth switch + + # list all tokens + hf auth list + + # logout from all tokens + hf auth logout + + # check which account you are logged in as + hf auth whoami +""" + +from argparse import _SubParsersAction +from typing import List, Optional + +from requests.exceptions import HTTPError + +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.constants import ENDPOINT +from huggingface_hub.hf_api import HfApi + +from .._login import auth_list, auth_switch, login, logout +from ..utils import get_stored_tokens, get_token, logging +from ._cli_utils import ANSI + + +logger = logging.get_logger(__name__) + +try: + from InquirerPy import inquirer + from InquirerPy.base.control import Choice + + _inquirer_py_available = True +except ImportError: + _inquirer_py_available = False + + +class AuthCommands(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + # Create the main 'auth' command + auth_parser = parser.add_parser("auth", help="Manage authentication (login, logout, etc.).") + auth_subparsers = auth_parser.add_subparsers(help="Authentication subcommands") + + # Show help if no subcommand is provided + auth_parser.set_defaults(func=lambda args: auth_parser.print_help()) + + # Add 'login' as a subcommand of 'auth' + login_parser = auth_subparsers.add_parser( + "login", help="Log in using a token from huggingface.co/settings/tokens" + ) + login_parser.add_argument( + "--token", + type=str, + help="Token generated from https://huggingface.co/settings/tokens", + ) + login_parser.add_argument( + "--add-to-git-credential", + action="store_true", + help="Optional: Save token to git credential helper.", + ) + login_parser.set_defaults(func=lambda args: AuthLogin(args)) + + # Add 'logout' as a subcommand of 'auth' + logout_parser = auth_subparsers.add_parser("logout", help="Log out") + logout_parser.add_argument( + "--token-name", + type=str, + help="Optional: Name of the access token to log out from.", + ) + logout_parser.set_defaults(func=lambda args: AuthLogout(args)) + + # Add 'whoami' as a subcommand of 'auth' + whoami_parser = auth_subparsers.add_parser( + "whoami", help="Find out which huggingface.co account you are logged in as." + ) + whoami_parser.set_defaults(func=lambda args: AuthWhoami(args)) + + # Existing subcommands + auth_switch_parser = auth_subparsers.add_parser("switch", help="Switch between access tokens") + auth_switch_parser.add_argument( + "--token-name", + type=str, + help="Optional: Name of the access token to switch to.", + ) + auth_switch_parser.add_argument( + "--add-to-git-credential", + action="store_true", + help="Optional: Save token to git credential helper.", + ) + auth_switch_parser.set_defaults(func=lambda args: AuthSwitch(args)) + + auth_list_parser = auth_subparsers.add_parser("list", help="List all stored access tokens") + auth_list_parser.set_defaults(func=lambda args: AuthList(args)) + + +class BaseAuthCommand: + def __init__(self, args): + self.args = args + self._api = HfApi() + + +class AuthLogin(BaseAuthCommand): + def run(self): + logging.set_verbosity_info() + login( + token=self.args.token, + add_to_git_credential=self.args.add_to_git_credential, + ) + + +class AuthLogout(BaseAuthCommand): + def run(self): + logging.set_verbosity_info() + logout(token_name=self.args.token_name) + + +class AuthSwitch(BaseAuthCommand): + def run(self): + logging.set_verbosity_info() + token_name = self.args.token_name + if token_name is None: + token_name = self._select_token_name() + + if token_name is None: + print("No token name provided. Aborting.") + exit() + auth_switch(token_name, add_to_git_credential=self.args.add_to_git_credential) + + def _select_token_name(self) -> Optional[str]: + token_names = list(get_stored_tokens().keys()) + + if not token_names: + logger.error("No stored tokens found. Please login first.") + return None + + if _inquirer_py_available: + return self._select_token_name_tui(token_names) + # if inquirer is not available, use a simpler terminal UI + print("Available stored tokens:") + for i, token_name in enumerate(token_names, 1): + print(f"{i}. {token_name}") + while True: + try: + choice = input("Enter the number of the token to switch to (or 'q' to quit): ") + if choice.lower() == "q": + return None + index = int(choice) - 1 + if 0 <= index < len(token_names): + return token_names[index] + else: + print("Invalid selection. Please try again.") + except ValueError: + print("Invalid input. Please enter a number or 'q' to quit.") + + def _select_token_name_tui(self, token_names: List[str]) -> Optional[str]: + choices = [Choice(token_name, name=token_name) for token_name in token_names] + try: + return inquirer.select( + message="Select a token to switch to:", + choices=choices, + default=None, + ).execute() + except KeyboardInterrupt: + logger.info("Token selection cancelled.") + return None + + +class AuthList(BaseAuthCommand): + def run(self): + logging.set_verbosity_info() + auth_list() + + +class AuthWhoami(BaseAuthCommand): + def run(self): + token = get_token() + if token is None: + print("Not logged in") + exit() + try: + info = self._api.whoami(token) + print(info["name"]) + orgs = [org["name"] for org in info["orgs"]] + if orgs: + print(ANSI.bold("orgs: "), ",".join(orgs)) + + if ENDPOINT != "https://huggingface.co": + print(f"Authenticated through private endpoint: {ENDPOINT}") + except HTTPError as e: + print(e) + print(ANSI.red(e.response.text)) + exit(1) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/cache.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/cache.py new file mode 100644 index 0000000000000000000000000000000000000000..c1b93ceda874491ea5b377e7d74c4e47b2bc4426 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/cache.py @@ -0,0 +1,409 @@ +# coding=utf-8 +# Copyright 2025-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains the 'hf cache' command group with 'scan' and 'delete' subcommands.""" + +import os +import time +from argparse import Namespace, _SubParsersAction +from functools import wraps +from tempfile import mkstemp +from typing import Any, Callable, Iterable, List, Literal, Optional, Union + +from ..utils import ( + CachedRepoInfo, + CachedRevisionInfo, + CacheNotFound, + HFCacheInfo, + scan_cache_dir, +) +from . import BaseHuggingfaceCLICommand +from ._cli_utils import ANSI, tabulate + + +# --- DELETE helpers (from delete_cache.py) --- +try: + from InquirerPy import inquirer + from InquirerPy.base.control import Choice + from InquirerPy.separator import Separator + + _inquirer_py_available = True +except ImportError: + _inquirer_py_available = False + +SortingOption_T = Literal["alphabetical", "lastUpdated", "lastUsed", "size"] +_CANCEL_DELETION_STR = "CANCEL_DELETION" + + +def require_inquirer_py(fn: Callable) -> Callable: + @wraps(fn) + def _inner(*args, **kwargs): + if not _inquirer_py_available: + raise ImportError( + "The 'cache delete' command requires extra dependencies for the TUI.\n" + "Please run 'pip install huggingface_hub[cli]' to install them.\n" + "Otherwise, disable TUI using the '--disable-tui' flag." + ) + return fn(*args, **kwargs) + + return _inner + + +class CacheCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + cache_parser = parser.add_parser("cache", help="Manage local cache directory.") + cache_subparsers = cache_parser.add_subparsers(dest="cache_command", help="Cache subcommands") + + # Show help if no subcommand is provided + cache_parser.set_defaults(func=lambda args: cache_parser.print_help()) + + # Scan subcommand + scan_parser = cache_subparsers.add_parser("scan", help="Scan cache directory.") + scan_parser.add_argument( + "--dir", + type=str, + default=None, + help="cache directory to scan (optional). Default to the default HuggingFace cache.", + ) + scan_parser.add_argument( + "-v", + "--verbose", + action="count", + default=0, + help="show a more verbose output", + ) + scan_parser.set_defaults(func=CacheCommand, cache_command="scan") + # Delete subcommand + delete_parser = cache_subparsers.add_parser("delete", help="Delete revisions from the cache directory.") + delete_parser.add_argument( + "--dir", + type=str, + default=None, + help="cache directory (optional). Default to the default HuggingFace cache.", + ) + delete_parser.add_argument( + "--disable-tui", + action="store_true", + help=( + "Disable Terminal User Interface (TUI) mode. Useful if your platform/terminal doesn't support the multiselect menu." + ), + ) + delete_parser.add_argument( + "--sort", + nargs="?", + choices=["alphabetical", "lastUpdated", "lastUsed", "size"], + help=( + "Sort repositories by the specified criteria. Options: " + "'alphabetical' (A-Z), " + "'lastUpdated' (newest first), " + "'lastUsed' (most recent first), " + "'size' (largest first)." + ), + ) + delete_parser.set_defaults(func=CacheCommand, cache_command="delete") + + def __init__(self, args: Namespace) -> None: + self.args = args + self.verbosity: int = getattr(args, "verbose", 0) + self.cache_dir: Optional[str] = getattr(args, "dir", None) + self.disable_tui: bool = getattr(args, "disable_tui", False) + self.sort_by: Optional[SortingOption_T] = getattr(args, "sort", None) + self.cache_command: Optional[str] = getattr(args, "cache_command", None) + + def run(self): + if self.cache_command == "scan": + self._run_scan() + elif self.cache_command == "delete": + self._run_delete() + else: + print("Please specify a cache subcommand (scan or delete). Use -h for help.") + + def _run_scan(self): + try: + t0 = time.time() + hf_cache_info = scan_cache_dir(self.cache_dir) + t1 = time.time() + except CacheNotFound as exc: + cache_dir = exc.cache_dir + print(f"Cache directory not found: {cache_dir}") + return + print(get_table(hf_cache_info, verbosity=self.verbosity)) + print( + f"\nDone in {round(t1 - t0, 1)}s. Scanned {len(hf_cache_info.repos)} repo(s)" + f" for a total of {ANSI.red(hf_cache_info.size_on_disk_str)}." + ) + if len(hf_cache_info.warnings) > 0: + message = f"Got {len(hf_cache_info.warnings)} warning(s) while scanning." + if self.verbosity >= 3: + print(ANSI.gray(message)) + for warning in hf_cache_info.warnings: + print(ANSI.gray(warning)) + else: + print(ANSI.gray(message + " Use -vvv to print details.")) + + def _run_delete(self): + hf_cache_info = scan_cache_dir(self.cache_dir) + if self.disable_tui: + selected_hashes = _manual_review_no_tui(hf_cache_info, preselected=[], sort_by=self.sort_by) + else: + selected_hashes = _manual_review_tui(hf_cache_info, preselected=[], sort_by=self.sort_by) + if len(selected_hashes) > 0 and _CANCEL_DELETION_STR not in selected_hashes: + confirm_message = _get_expectations_str(hf_cache_info, selected_hashes) + " Confirm deletion ?" + if self.disable_tui: + confirmed = _ask_for_confirmation_no_tui(confirm_message) + else: + confirmed = _ask_for_confirmation_tui(confirm_message) + if confirmed: + strategy = hf_cache_info.delete_revisions(*selected_hashes) + print("Start deletion.") + strategy.execute() + print( + f"Done. Deleted {len(strategy.repos)} repo(s) and" + f" {len(strategy.snapshots)} revision(s) for a total of" + f" {strategy.expected_freed_size_str}." + ) + return + print("Deletion is cancelled. Do nothing.") + + +def get_table(hf_cache_info: HFCacheInfo, *, verbosity: int = 0) -> str: + if verbosity == 0: + return tabulate( + rows=[ + [ + repo.repo_id, + repo.repo_type, + "{:>12}".format(repo.size_on_disk_str), + repo.nb_files, + repo.last_accessed_str, + repo.last_modified_str, + ", ".join(sorted(repo.refs)), + str(repo.repo_path), + ] + for repo in sorted(hf_cache_info.repos, key=lambda repo: repo.repo_path) + ], + headers=[ + "REPO ID", + "REPO TYPE", + "SIZE ON DISK", + "NB FILES", + "LAST_ACCESSED", + "LAST_MODIFIED", + "REFS", + "LOCAL PATH", + ], + ) + else: + return tabulate( + rows=[ + [ + repo.repo_id, + repo.repo_type, + revision.commit_hash, + "{:>12}".format(revision.size_on_disk_str), + revision.nb_files, + revision.last_modified_str, + ", ".join(sorted(revision.refs)), + str(revision.snapshot_path), + ] + for repo in sorted(hf_cache_info.repos, key=lambda repo: repo.repo_path) + for revision in sorted(repo.revisions, key=lambda revision: revision.commit_hash) + ], + headers=[ + "REPO ID", + "REPO TYPE", + "REVISION", + "SIZE ON DISK", + "NB FILES", + "LAST_MODIFIED", + "REFS", + "LOCAL PATH", + ], + ) + + +def _get_repo_sorting_key(repo: CachedRepoInfo, sort_by: Optional[SortingOption_T] = None): + if sort_by == "alphabetical": + return (repo.repo_type, repo.repo_id.lower()) + elif sort_by == "lastUpdated": + return -max(rev.last_modified for rev in repo.revisions) + elif sort_by == "lastUsed": + return -repo.last_accessed + elif sort_by == "size": + return -repo.size_on_disk + else: + return (repo.repo_type, repo.repo_id) + + +@require_inquirer_py +def _manual_review_tui( + hf_cache_info: HFCacheInfo, preselected: List[str], sort_by: Optional[SortingOption_T] = None +) -> List[str]: + choices = _get_tui_choices_from_scan(repos=hf_cache_info.repos, preselected=preselected, sort_by=sort_by) + checkbox = inquirer.checkbox( + message="Select revisions to delete:", + choices=choices, + cycle=False, + height=100, + instruction=_get_expectations_str( + hf_cache_info, selected_hashes=[c.value for c in choices if isinstance(c, Choice) and c.enabled] + ), + long_instruction="Press to select, to validate and to quit without modification.", + transformer=lambda result: f"{len(result)} revision(s) selected.", + ) + + def _update_expectations(_): + checkbox._instruction = _get_expectations_str( + hf_cache_info, + selected_hashes=[choice["value"] for choice in checkbox.content_control.choices if choice["enabled"]], + ) + + checkbox.kb_func_lookup["toggle"].append({"func": _update_expectations}) + try: + return checkbox.execute() + except KeyboardInterrupt: + return [] + + +@require_inquirer_py +def _ask_for_confirmation_tui(message: str, default: bool = True) -> bool: + return inquirer.confirm(message, default=default).execute() + + +def _get_tui_choices_from_scan( + repos: Iterable[CachedRepoInfo], preselected: List[str], sort_by: Optional[SortingOption_T] = None +) -> List: + choices: List[Union["Choice", "Separator"]] = [] + choices.append( + Choice( + _CANCEL_DELETION_STR, name="None of the following (if selected, nothing will be deleted).", enabled=False + ) + ) + sorted_repos = sorted(repos, key=lambda repo: _get_repo_sorting_key(repo, sort_by)) + for repo in sorted_repos: + choices.append( + Separator( + f"\n{repo.repo_type.capitalize()} {repo.repo_id} ({repo.size_on_disk_str}, used {repo.last_accessed_str})" + ) + ) + for revision in sorted(repo.revisions, key=_revision_sorting_order): + choices.append( + Choice( + revision.commit_hash, + name=( + f"{revision.commit_hash[:8]}: {', '.join(sorted(revision.refs)) or '(detached)'} # modified {revision.last_modified_str}" + ), + enabled=revision.commit_hash in preselected, + ) + ) + return choices + + +def _manual_review_no_tui( + hf_cache_info: HFCacheInfo, preselected: List[str], sort_by: Optional[SortingOption_T] = None +) -> List[str]: + fd, tmp_path = mkstemp(suffix=".txt") + os.close(fd) + lines = [] + sorted_repos = sorted(hf_cache_info.repos, key=lambda repo: _get_repo_sorting_key(repo, sort_by)) + for repo in sorted_repos: + lines.append( + f"\n# {repo.repo_type.capitalize()} {repo.repo_id} ({repo.size_on_disk_str}, used {repo.last_accessed_str})" + ) + for revision in sorted(repo.revisions, key=_revision_sorting_order): + lines.append( + f"{'' if revision.commit_hash in preselected else '#'} {revision.commit_hash} # Refs: {', '.join(sorted(revision.refs)) or '(detached)'} # modified {revision.last_modified_str}" + ) + with open(tmp_path, "w") as f: + f.write(_MANUAL_REVIEW_NO_TUI_INSTRUCTIONS) + f.write("\n".join(lines)) + instructions = f""" + TUI is disabled. In order to select which revisions you want to delete, please edit + the following file using the text editor of your choice. Instructions for manual + editing are located at the beginning of the file. Edit the file, save it and confirm + to continue. + File to edit: {ANSI.bold(tmp_path)} + """ + print("\n".join(line.strip() for line in instructions.strip().split("\n"))) + while True: + selected_hashes = _read_manual_review_tmp_file(tmp_path) + if _ask_for_confirmation_no_tui( + _get_expectations_str(hf_cache_info, selected_hashes) + " Continue ?", default=False + ): + break + os.remove(tmp_path) + return sorted(selected_hashes) + + +def _ask_for_confirmation_no_tui(message: str, default: bool = True) -> bool: + YES = ("y", "yes", "1") + NO = ("n", "no", "0") + DEFAULT = "" + ALL = YES + NO + (DEFAULT,) + full_message = message + (" (Y/n) " if default else " (y/N) ") + while True: + answer = input(full_message).lower() + if answer == DEFAULT: + return default + if answer in YES: + return True + if answer in NO: + return False + print(f"Invalid input. Must be one of {ALL}") + + +def _get_expectations_str(hf_cache_info: HFCacheInfo, selected_hashes: List[str]) -> str: + if _CANCEL_DELETION_STR in selected_hashes: + return "Nothing will be deleted." + strategy = hf_cache_info.delete_revisions(*selected_hashes) + return f"{len(selected_hashes)} revisions selected counting for {strategy.expected_freed_size_str}." + + +def _read_manual_review_tmp_file(tmp_path: str) -> List[str]: + with open(tmp_path) as f: + content = f.read() + lines = [line.strip() for line in content.split("\n")] + selected_lines = [line for line in lines if not line.startswith("#")] + selected_hashes = [line.split("#")[0].strip() for line in selected_lines] + return [hash for hash in selected_hashes if len(hash) > 0] + + +_MANUAL_REVIEW_NO_TUI_INSTRUCTIONS = f""" +# INSTRUCTIONS +# ------------ +# This is a temporary file created by running `hf cache delete --disable-tui`. It contains a set of revisions that can be deleted from your local cache directory. +# +# Please manually review the revisions you want to delete: +# - Revision hashes can be commented out with '#'. +# - Only non-commented revisions in this file will be deleted. +# - Revision hashes that are removed from this file are ignored as well. +# - If `{_CANCEL_DELETION_STR}` line is uncommented, the all cache deletion is cancelled and no changes will be applied. +# +# Once you've manually reviewed this file, please confirm deletion in the terminal. This file will be automatically removed once done. +# ------------ + +# KILL SWITCH +# ------------ +# Un-comment following line to completely cancel the deletion process +# {_CANCEL_DELETION_STR} +# ------------ + +# REVISIONS +# ------------ +""".strip() + + +def _revision_sorting_order(revision: CachedRevisionInfo) -> Any: + return revision.last_modified diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/download.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/download.py new file mode 100644 index 0000000000000000000000000000000000000000..3e59233da1d4386c8f0018a65c8d7f8d91b34612 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/download.py @@ -0,0 +1,181 @@ +# coding=utf-8 +# Copyright 202-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains command to download files from the Hub with the CLI. + +Usage: + hf download --help + + # Download file + hf download gpt2 config.json + + # Download entire repo + hf download fffiloni/zeroscope --repo-type=space --revision=refs/pr/78 + + # Download repo with filters + hf download gpt2 --include="*.safetensors" + + # Download with token + hf download Wauplin/private-model --token=hf_*** + + # Download quietly (no progress bar, no warnings, only the returned path) + hf download gpt2 config.json --quiet + + # Download to local dir + hf download gpt2 --local-dir=./models/gpt2 +""" + +import warnings +from argparse import Namespace, _SubParsersAction +from typing import List, Optional + +from huggingface_hub import logging +from huggingface_hub._snapshot_download import snapshot_download +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.file_download import hf_hub_download +from huggingface_hub.utils import disable_progress_bars, enable_progress_bars + + +logger = logging.get_logger(__name__) + + +class DownloadCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + download_parser = parser.add_parser("download", help="Download files from the Hub") + download_parser.add_argument( + "repo_id", type=str, help="ID of the repo to download from (e.g. `username/repo-name`)." + ) + download_parser.add_argument( + "filenames", type=str, nargs="*", help="Files to download (e.g. `config.json`, `data/metadata.jsonl`)." + ) + download_parser.add_argument( + "--repo-type", + choices=["model", "dataset", "space"], + default="model", + help="Type of repo to download from (defaults to 'model').", + ) + download_parser.add_argument( + "--revision", + type=str, + help="An optional Git revision id which can be a branch name, a tag, or a commit hash.", + ) + download_parser.add_argument( + "--include", nargs="*", type=str, help="Glob patterns to match files to download." + ) + download_parser.add_argument( + "--exclude", nargs="*", type=str, help="Glob patterns to exclude from files to download." + ) + download_parser.add_argument( + "--cache-dir", type=str, help="Path to the directory where to save the downloaded files." + ) + download_parser.add_argument( + "--local-dir", + type=str, + help=( + "If set, the downloaded file will be placed under this directory. Check out" + " https://huggingface.co/docs/huggingface_hub/guides/download#download-files-to-local-folder for more" + " details." + ), + ) + download_parser.add_argument( + "--force-download", + action="store_true", + help="If True, the files will be downloaded even if they are already cached.", + ) + download_parser.add_argument( + "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens" + ) + download_parser.add_argument( + "--quiet", + action="store_true", + help="If True, progress bars are disabled and only the path to the download files is printed.", + ) + download_parser.add_argument( + "--max-workers", + type=int, + default=8, + help="Maximum number of workers to use for downloading files. Default is 8.", + ) + download_parser.set_defaults(func=DownloadCommand) + + def __init__(self, args: Namespace) -> None: + self.token = args.token + self.repo_id: str = args.repo_id + self.filenames: List[str] = args.filenames + self.repo_type: str = args.repo_type + self.revision: Optional[str] = args.revision + self.include: Optional[List[str]] = args.include + self.exclude: Optional[List[str]] = args.exclude + self.cache_dir: Optional[str] = args.cache_dir + self.local_dir: Optional[str] = args.local_dir + self.force_download: bool = args.force_download + self.quiet: bool = args.quiet + self.max_workers: int = args.max_workers + + def run(self) -> None: + if self.quiet: + disable_progress_bars() + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + print(self._download()) # Print path to downloaded files + enable_progress_bars() + else: + logging.set_verbosity_info() + print(self._download()) # Print path to downloaded files + logging.set_verbosity_warning() + + def _download(self) -> str: + # Warn user if patterns are ignored + if len(self.filenames) > 0: + if self.include is not None and len(self.include) > 0: + warnings.warn("Ignoring `--include` since filenames have being explicitly set.") + if self.exclude is not None and len(self.exclude) > 0: + warnings.warn("Ignoring `--exclude` since filenames have being explicitly set.") + + # Single file to download: use `hf_hub_download` + if len(self.filenames) == 1: + return hf_hub_download( + repo_id=self.repo_id, + repo_type=self.repo_type, + revision=self.revision, + filename=self.filenames[0], + cache_dir=self.cache_dir, + force_download=self.force_download, + token=self.token, + local_dir=self.local_dir, + library_name="hf", + ) + + # Otherwise: use `snapshot_download` to ensure all files comes from same revision + elif len(self.filenames) == 0: + allow_patterns = self.include + ignore_patterns = self.exclude + else: + allow_patterns = self.filenames + ignore_patterns = None + + return snapshot_download( + repo_id=self.repo_id, + repo_type=self.repo_type, + revision=self.revision, + allow_patterns=allow_patterns, + ignore_patterns=ignore_patterns, + force_download=self.force_download, + cache_dir=self.cache_dir, + token=self.token, + local_dir=self.local_dir, + library_name="hf", + max_workers=self.max_workers, + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/hf.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/hf.py new file mode 100644 index 0000000000000000000000000000000000000000..2587918b294b427fb8f3e0f990884826b66514a8 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/hf.py @@ -0,0 +1,63 @@ +# Copyright 2020 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from argparse import ArgumentParser + +from huggingface_hub.cli.auth import AuthCommands +from huggingface_hub.cli.cache import CacheCommand +from huggingface_hub.cli.download import DownloadCommand +from huggingface_hub.cli.jobs import JobsCommands +from huggingface_hub.cli.lfs import LfsCommands +from huggingface_hub.cli.repo import RepoCommands +from huggingface_hub.cli.repo_files import RepoFilesCommand +from huggingface_hub.cli.system import EnvironmentCommand, VersionCommand +from huggingface_hub.cli.upload import UploadCommand +from huggingface_hub.cli.upload_large_folder import UploadLargeFolderCommand + + +def main(): + parser = ArgumentParser("hf", usage="hf []") + commands_parser = parser.add_subparsers(help="hf command helpers") + + # Register commands + AuthCommands.register_subcommand(commands_parser) + CacheCommand.register_subcommand(commands_parser) + DownloadCommand.register_subcommand(commands_parser) + JobsCommands.register_subcommand(commands_parser) + RepoCommands.register_subcommand(commands_parser) + RepoFilesCommand.register_subcommand(commands_parser) + UploadCommand.register_subcommand(commands_parser) + UploadLargeFolderCommand.register_subcommand(commands_parser) + + # System commands + EnvironmentCommand.register_subcommand(commands_parser) + VersionCommand.register_subcommand(commands_parser) + + # LFS commands (hidden in --help) + LfsCommands.register_subcommand(commands_parser) + + # Let's go + args = parser.parse_args() + if not hasattr(args, "func"): + parser.print_help() + exit(1) + + # Run + service = args.func(args) + if service is not None: + service.run() + + +if __name__ == "__main__": + main() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/jobs.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/jobs.py new file mode 100644 index 0000000000000000000000000000000000000000..bd88648c7901b08ac653a669eef12ccb7c5b634f --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/jobs.py @@ -0,0 +1,550 @@ +# Copyright 2025 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains commands to interact with jobs on the Hugging Face Hub. + +Usage: + # run a job + hf jobs run + + # List running or completed jobs + hf jobs ps [-a] [-f key=value] [--format TEMPLATE] + + # Stream logs from a job + hf jobs logs + + # Inspect detailed information about a job + hf jobs inspect + + # Cancel a running job + hf jobs cancel +""" + +import json +import os +import re +from argparse import Namespace, _SubParsersAction +from dataclasses import asdict +from pathlib import Path +from typing import Dict, List, Optional, Union + +import requests + +from huggingface_hub import HfApi, SpaceHardware, get_token +from huggingface_hub.utils import logging +from huggingface_hub.utils._dotenv import load_dotenv + +from . import BaseHuggingfaceCLICommand + + +logger = logging.get_logger(__name__) + +SUGGESTED_FLAVORS = [item.value for item in SpaceHardware if item.value != "zero-a10g"] + + +class JobsCommands(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + jobs_parser = parser.add_parser("jobs", help="Run and manage Jobs on the Hub.") + jobs_subparsers = jobs_parser.add_subparsers(help="huggingface.co jobs related commands") + + # Show help if no subcommand is provided + jobs_parser.set_defaults(func=lambda args: jobs_parser.print_help()) + + # Register commands + InspectCommand.register_subcommand(jobs_subparsers) + LogsCommand.register_subcommand(jobs_subparsers) + PsCommand.register_subcommand(jobs_subparsers) + RunCommand.register_subcommand(jobs_subparsers) + CancelCommand.register_subcommand(jobs_subparsers) + UvCommand.register_subcommand(jobs_subparsers) + + +class RunCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction) -> None: + run_parser = parser.add_parser("run", help="Run a Job") + run_parser.add_argument("image", type=str, help="The Docker image to use.") + run_parser.add_argument("-e", "--env", action="append", help="Set environment variables. E.g. --env ENV=value") + run_parser.add_argument( + "-s", + "--secrets", + action="append", + help=( + "Set secret environment variables. E.g. --secrets SECRET=value " + "or `--secrets HF_TOKEN` to pass your Hugging Face token." + ), + ) + run_parser.add_argument("--env-file", type=str, help="Read in a file of environment variables.") + run_parser.add_argument("--secrets-file", type=str, help="Read in a file of secret environment variables.") + run_parser.add_argument( + "--flavor", + type=str, + help=f"Flavor for the hardware, as in HF Spaces. Defaults to `cpu-basic`. Possible values: {', '.join(SUGGESTED_FLAVORS)}.", + ) + run_parser.add_argument( + "--timeout", + type=str, + help="Max duration: int/float with s (seconds, default), m (minutes), h (hours) or d (days).", + ) + run_parser.add_argument( + "-d", + "--detach", + action="store_true", + help="Run the Job in the background and print the Job ID.", + ) + run_parser.add_argument( + "--namespace", + type=str, + help="The namespace where the Job will be created. Defaults to the current user's namespace.", + ) + run_parser.add_argument( + "--token", + type=str, + help="A User Access Token generated from https://huggingface.co/settings/tokens", + ) + run_parser.add_argument("command", nargs="...", help="The command to run.") + run_parser.set_defaults(func=RunCommand) + + def __init__(self, args: Namespace) -> None: + self.image: str = args.image + self.command: List[str] = args.command + self.env: dict[str, Optional[str]] = {} + if args.env_file: + self.env.update(load_dotenv(Path(args.env_file).read_text(), environ=os.environ.copy())) + for env_value in args.env or []: + self.env.update(load_dotenv(env_value, environ=os.environ.copy())) + self.secrets: dict[str, Optional[str]] = {} + extended_environ = _get_extended_environ() + if args.secrets_file: + self.secrets.update(load_dotenv(Path(args.secrets_file).read_text(), environ=extended_environ)) + for secret in args.secrets or []: + self.secrets.update(load_dotenv(secret, environ=extended_environ)) + self.flavor: Optional[SpaceHardware] = args.flavor + self.timeout: Optional[str] = args.timeout + self.detach: bool = args.detach + self.namespace: Optional[str] = args.namespace + self.token: Optional[str] = args.token + + def run(self) -> None: + api = HfApi(token=self.token) + job = api.run_job( + image=self.image, + command=self.command, + env=self.env, + secrets=self.secrets, + flavor=self.flavor, + timeout=self.timeout, + namespace=self.namespace, + ) + # Always print the job ID to the user + print(f"Job started with ID: {job.id}") + print(f"View at: {job.url}") + + if self.detach: + return + + # Now let's stream the logs + for log in api.fetch_job_logs(job_id=job.id): + print(log) + + +class LogsCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction) -> None: + run_parser = parser.add_parser("logs", help="Fetch the logs of a Job") + run_parser.add_argument("job_id", type=str, help="Job ID") + run_parser.add_argument( + "--namespace", + type=str, + help="The namespace where the job is running. Defaults to the current user's namespace.", + ) + run_parser.add_argument( + "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens" + ) + run_parser.set_defaults(func=LogsCommand) + + def __init__(self, args: Namespace) -> None: + self.job_id: str = args.job_id + self.namespace: Optional[str] = args.namespace + self.token: Optional[str] = args.token + + def run(self) -> None: + api = HfApi(token=self.token) + for log in api.fetch_job_logs(job_id=self.job_id, namespace=self.namespace): + print(log) + + +def _tabulate(rows: List[List[Union[str, int]]], headers: List[str]) -> str: + """ + Inspired by: + + - stackoverflow.com/a/8356620/593036 + - stackoverflow.com/questions/9535954/printing-lists-as-tabular-data + """ + col_widths = [max(len(str(x)) for x in col) for col in zip(*rows, headers)] + terminal_width = max(os.get_terminal_size().columns, len(headers) * 12) + while len(headers) + sum(col_widths) > terminal_width: + col_to_minimize = col_widths.index(max(col_widths)) + col_widths[col_to_minimize] //= 2 + if len(headers) + sum(col_widths) <= terminal_width: + col_widths[col_to_minimize] = terminal_width - sum(col_widths) - len(headers) + col_widths[col_to_minimize] + row_format = ("{{:{}}} " * len(headers)).format(*col_widths) + lines = [] + lines.append(row_format.format(*headers)) + lines.append(row_format.format(*["-" * w for w in col_widths])) + for row in rows: + row_format_args = [ + str(x)[: col_width - 3] + "..." if len(str(x)) > col_width else str(x) + for x, col_width in zip(row, col_widths) + ] + lines.append(row_format.format(*row_format_args)) + return "\n".join(lines) + + +class PsCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction) -> None: + run_parser = parser.add_parser("ps", help="List Jobs") + run_parser.add_argument( + "-a", + "--all", + action="store_true", + help="Show all Jobs (default shows just running)", + ) + run_parser.add_argument( + "--namespace", + type=str, + help="The namespace from where it lists the jobs. Defaults to the current user's namespace.", + ) + run_parser.add_argument( + "--token", + type=str, + help="A User Access Token generated from https://huggingface.co/settings/tokens", + ) + # Add Docker-style filtering argument + run_parser.add_argument( + "-f", + "--filter", + action="append", + default=[], + help="Filter output based on conditions provided (format: key=value)", + ) + # Add option to format output + run_parser.add_argument( + "--format", + type=str, + help="Format output using a custom template", + ) + run_parser.set_defaults(func=PsCommand) + + def __init__(self, args: Namespace) -> None: + self.all: bool = args.all + self.namespace: Optional[str] = args.namespace + self.token: Optional[str] = args.token + self.format: Optional[str] = args.format + self.filters: Dict[str, str] = {} + + # Parse filter arguments (key=value pairs) + for f in args.filter: + if "=" in f: + key, value = f.split("=", 1) + self.filters[key.lower()] = value + else: + print(f"Warning: Ignoring invalid filter format '{f}'. Use key=value format.") + + def run(self) -> None: + """ + Fetch and display job information for the current user. + Uses Docker-style filtering with -f/--filter flag and key=value pairs. + """ + try: + api = HfApi(token=self.token) + + # Fetch jobs data + jobs = api.list_jobs(namespace=self.namespace) + + # Define table headers + table_headers = ["JOB ID", "IMAGE/SPACE", "COMMAND", "CREATED", "STATUS"] + + # Process jobs data + rows = [] + + for job in jobs: + # Extract job data for filtering + status = job.status.stage if job.status else "UNKNOWN" + + # Skip job if not all jobs should be shown and status doesn't match criteria + if not self.all and status not in ("RUNNING", "UPDATING"): + continue + + # Extract job ID + job_id = job.id + + # Extract image or space information + image_or_space = job.docker_image or "N/A" + + # Extract and format command + command = job.command or [] + command_str = " ".join(command) if command else "N/A" + + # Extract creation time + created_at = job.created_at or "N/A" + + # Create a dict with all job properties for filtering + job_properties = { + "id": job_id, + "image": image_or_space, + "status": status.lower(), + "command": command_str, + } + + # Check if job matches all filters + if not self._matches_filters(job_properties): + continue + + # Create row + rows.append([job_id, image_or_space, command_str, created_at, status]) + + # Handle empty results + if not rows: + filters_msg = "" + if self.filters: + filters_msg = f" matching filters: {', '.join([f'{k}={v}' for k, v in self.filters.items()])}" + + print(f"No jobs found{filters_msg}") + return + + # Apply custom format if provided or use default tabular format + self._print_output(rows, table_headers) + + except requests.RequestException as e: + print(f"Error fetching jobs data: {e}") + except (KeyError, ValueError, TypeError) as e: + print(f"Error processing jobs data: {e}") + except Exception as e: + print(f"Unexpected error - {type(e).__name__}: {e}") + + def _matches_filters(self, job_properties: Dict[str, str]) -> bool: + """Check if job matches all specified filters.""" + for key, pattern in self.filters.items(): + # Check if property exists + if key not in job_properties: + return False + + # Support pattern matching with wildcards + if "*" in pattern or "?" in pattern: + # Convert glob pattern to regex + regex_pattern = pattern.replace("*", ".*").replace("?", ".") + if not re.search(f"^{regex_pattern}$", job_properties[key], re.IGNORECASE): + return False + # Simple substring matching + elif pattern.lower() not in job_properties[key].lower(): + return False + + return True + + def _print_output(self, rows, headers): + """Print output according to the chosen format.""" + if self.format: + # Custom template formatting (simplified) + template = self.format + for row in rows: + line = template + for i, field in enumerate(["id", "image", "command", "created", "status"]): + placeholder = f"{{{{.{field}}}}}" + if placeholder in line: + line = line.replace(placeholder, str(row[i])) + print(line) + else: + # Default tabular format + print( + _tabulate( + rows, + headers=headers, + ) + ) + + +class InspectCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction) -> None: + run_parser = parser.add_parser("inspect", help="Display detailed information on one or more Jobs") + run_parser.add_argument( + "--namespace", + type=str, + help="The namespace where the job is running. Defaults to the current user's namespace.", + ) + run_parser.add_argument( + "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens" + ) + run_parser.add_argument("job_ids", nargs="...", help="The jobs to inspect") + run_parser.set_defaults(func=InspectCommand) + + def __init__(self, args: Namespace) -> None: + self.namespace: Optional[str] = args.namespace + self.token: Optional[str] = args.token + self.job_ids: List[str] = args.job_ids + + def run(self) -> None: + api = HfApi(token=self.token) + jobs = [api.inspect_job(job_id=job_id, namespace=self.namespace) for job_id in self.job_ids] + print(json.dumps([asdict(job) for job in jobs], indent=4, default=str)) + + +class CancelCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction) -> None: + run_parser = parser.add_parser("cancel", help="Cancel a Job") + run_parser.add_argument("job_id", type=str, help="Job ID") + run_parser.add_argument( + "--namespace", + type=str, + help="The namespace where the job is running. Defaults to the current user's namespace.", + ) + run_parser.add_argument( + "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens" + ) + run_parser.set_defaults(func=CancelCommand) + + def __init__(self, args: Namespace) -> None: + self.job_id: str = args.job_id + self.namespace = args.namespace + self.token: Optional[str] = args.token + + def run(self) -> None: + api = HfApi(token=self.token) + api.cancel_job(job_id=self.job_id, namespace=self.namespace) + + +class UvCommand(BaseHuggingfaceCLICommand): + """Run UV scripts on Hugging Face infrastructure.""" + + @staticmethod + def register_subcommand(parser): + """Register UV run subcommand.""" + uv_parser = parser.add_parser( + "uv", + help="Run UV scripts (Python with inline dependencies) on HF infrastructure", + ) + + subparsers = uv_parser.add_subparsers(dest="uv_command", help="UV commands", required=True) + + # Run command only + run_parser = subparsers.add_parser( + "run", + help="Run a UV script (local file or URL) on HF infrastructure", + ) + run_parser.add_argument("script", help="UV script to run (local file or URL)") + run_parser.add_argument("script_args", nargs="...", help="Arguments for the script", default=[]) + run_parser.add_argument("--image", type=str, help="Use a custom Docker image with `uv` installed.") + run_parser.add_argument( + "--repo", + help="Repository name for the script (creates ephemeral if not specified)", + ) + run_parser.add_argument( + "--flavor", + type=str, + help=f"Flavor for the hardware, as in HF Spaces. Defaults to `cpu-basic`. Possible values: {', '.join(SUGGESTED_FLAVORS)}.", + ) + run_parser.add_argument("-e", "--env", action="append", help="Environment variables") + run_parser.add_argument( + "-s", + "--secrets", + action="append", + help=( + "Set secret environment variables. E.g. --secrets SECRET=value " + "or `--secrets HF_TOKEN` to pass your Hugging Face token." + ), + ) + run_parser.add_argument("--env-file", type=str, help="Read in a file of environment variables.") + run_parser.add_argument( + "--secrets-file", + type=str, + help="Read in a file of secret environment variables.", + ) + run_parser.add_argument("--timeout", type=str, help="Max duration (e.g., 30s, 5m, 1h)") + run_parser.add_argument("-d", "--detach", action="store_true", help="Run in background") + run_parser.add_argument( + "--namespace", + type=str, + help="The namespace where the Job will be created. Defaults to the current user's namespace.", + ) + run_parser.add_argument("--token", type=str, help="HF token") + # UV options + run_parser.add_argument("--with", action="append", help="Run with the given packages installed", dest="with_") + run_parser.add_argument( + "-p", "--python", type=str, help="The Python interpreter to use for the run environment" + ) + run_parser.set_defaults(func=UvCommand) + + def __init__(self, args: Namespace) -> None: + """Initialize the command with parsed arguments.""" + self.script = args.script + self.script_args = args.script_args + self.dependencies = args.with_ + self.python = args.python + self.image = args.image + self.env: dict[str, Optional[str]] = {} + if args.env_file: + self.env.update(load_dotenv(Path(args.env_file).read_text(), environ=os.environ.copy())) + for env_value in args.env or []: + self.env.update(load_dotenv(env_value, environ=os.environ.copy())) + self.secrets: dict[str, Optional[str]] = {} + extended_environ = _get_extended_environ() + if args.secrets_file: + self.secrets.update(load_dotenv(Path(args.secrets_file).read_text(), environ=extended_environ)) + for secret in args.secrets or []: + self.secrets.update(load_dotenv(secret, environ=extended_environ)) + self.flavor: Optional[SpaceHardware] = args.flavor + self.timeout: Optional[str] = args.timeout + self.detach: bool = args.detach + self.namespace: Optional[str] = args.namespace + self.token: Optional[str] = args.token + self._repo = args.repo + + def run(self) -> None: + """Execute UV command.""" + logging.set_verbosity(logging.INFO) + api = HfApi(token=self.token) + job = api.run_uv_job( + script=self.script, + script_args=self.script_args, + dependencies=self.dependencies, + python=self.python, + image=self.image, + env=self.env, + secrets=self.secrets, + flavor=self.flavor, + timeout=self.timeout, + namespace=self.namespace, + _repo=self._repo, + ) + + # Always print the job ID to the user + print(f"Job started with ID: {job.id}") + print(f"View at: {job.url}") + + if self.detach: + return + + # Now let's stream the logs + for log in api.fetch_job_logs(job_id=job.id): + print(log) + + +def _get_extended_environ() -> Dict[str, str]: + extended_environ = os.environ.copy() + if (token := get_token()) is not None: + extended_environ["HF_TOKEN"] = token + return extended_environ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/lfs.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/lfs.py new file mode 100644 index 0000000000000000000000000000000000000000..e4c5b900c816494c260f6c440843a2d83703fab5 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/lfs.py @@ -0,0 +1,198 @@ +""" +Implementation of a custom transfer agent for the transfer type "multipart" for +git-lfs. + +Inspired by: +github.com/cbartz/git-lfs-swift-transfer-agent/blob/master/git_lfs_swift_transfer.py + +Spec is: github.com/git-lfs/git-lfs/blob/master/docs/custom-transfers.md + + +To launch debugger while developing: + +``` [lfs "customtransfer.multipart"] +path = /path/to/huggingface_hub/.env/bin/python args = -m debugpy --listen 5678 +--wait-for-client +/path/to/huggingface_hub/src/huggingface_hub/commands/huggingface_cli.py +lfs-multipart-upload ```""" + +import json +import os +import subprocess +import sys +from argparse import _SubParsersAction +from typing import Dict, List, Optional + +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.lfs import LFS_MULTIPART_UPLOAD_COMMAND + +from ..utils import get_session, hf_raise_for_status, logging +from ..utils._lfs import SliceFileObj + + +logger = logging.get_logger(__name__) + + +class LfsCommands(BaseHuggingfaceCLICommand): + """ + Implementation of a custom transfer agent for the transfer type "multipart" + for git-lfs. This lets users upload large files >5GB 🔥. Spec for LFS custom + transfer agent is: + https://github.com/git-lfs/git-lfs/blob/master/docs/custom-transfers.md + + This introduces two commands to the CLI: + + 1. $ hf lfs-enable-largefiles + + This should be executed once for each model repo that contains a model file + >5GB. It's documented in the error message you get if you just try to git + push a 5GB file without having enabled it before. + + 2. $ hf lfs-multipart-upload + + This command is called by lfs directly and is not meant to be called by the + user. + """ + + @staticmethod + def register_subcommand(parser: _SubParsersAction): + enable_parser = parser.add_parser("lfs-enable-largefiles", add_help=False) + enable_parser.add_argument("path", type=str, help="Local path to repository you want to configure.") + enable_parser.set_defaults(func=lambda args: LfsEnableCommand(args)) + + # Command will get called by git-lfs, do not call it directly. + upload_parser = parser.add_parser(LFS_MULTIPART_UPLOAD_COMMAND, add_help=False) + upload_parser.set_defaults(func=lambda args: LfsUploadCommand(args)) + + +class LfsEnableCommand: + def __init__(self, args): + self.args = args + + def run(self): + local_path = os.path.abspath(self.args.path) + if not os.path.isdir(local_path): + print("This does not look like a valid git repo.") + exit(1) + subprocess.run( + "git config lfs.customtransfer.multipart.path hf".split(), + check=True, + cwd=local_path, + ) + subprocess.run( + f"git config lfs.customtransfer.multipart.args {LFS_MULTIPART_UPLOAD_COMMAND}".split(), + check=True, + cwd=local_path, + ) + print("Local repo set up for largefiles") + + +def write_msg(msg: Dict): + """Write out the message in Line delimited JSON.""" + msg_str = json.dumps(msg) + "\n" + sys.stdout.write(msg_str) + sys.stdout.flush() + + +def read_msg() -> Optional[Dict]: + """Read Line delimited JSON from stdin.""" + msg = json.loads(sys.stdin.readline().strip()) + + if "terminate" in (msg.get("type"), msg.get("event")): + # terminate message received + return None + + if msg.get("event") not in ("download", "upload"): + logger.critical("Received unexpected message") + sys.exit(1) + + return msg + + +class LfsUploadCommand: + def __init__(self, args) -> None: + self.args = args + + def run(self) -> None: + # Immediately after invoking a custom transfer process, git-lfs + # sends initiation data to the process over stdin. + # This tells the process useful information about the configuration. + init_msg = json.loads(sys.stdin.readline().strip()) + if not (init_msg.get("event") == "init" and init_msg.get("operation") == "upload"): + write_msg({"error": {"code": 32, "message": "Wrong lfs init operation"}}) + sys.exit(1) + + # The transfer process should use the information it needs from the + # initiation structure, and also perform any one-off setup tasks it + # needs to do. It should then respond on stdout with a simple empty + # confirmation structure, as follows: + write_msg({}) + + # After the initiation exchange, git-lfs will send any number of + # transfer requests to the stdin of the transfer process, in a serial sequence. + while True: + msg = read_msg() + if msg is None: + # When all transfers have been processed, git-lfs will send + # a terminate event to the stdin of the transfer process. + # On receiving this message the transfer process should + # clean up and terminate. No response is expected. + sys.exit(0) + + oid = msg["oid"] + filepath = msg["path"] + completion_url = msg["action"]["href"] + header = msg["action"]["header"] + chunk_size = int(header.pop("chunk_size")) + presigned_urls: List[str] = list(header.values()) + + # Send a "started" progress event to allow other workers to start. + # Otherwise they're delayed until first "progress" event is reported, + # i.e. after the first 5GB by default (!) + write_msg( + { + "event": "progress", + "oid": oid, + "bytesSoFar": 1, + "bytesSinceLast": 0, + } + ) + + parts = [] + with open(filepath, "rb") as file: + for i, presigned_url in enumerate(presigned_urls): + with SliceFileObj( + file, + seek_from=i * chunk_size, + read_limit=chunk_size, + ) as data: + r = get_session().put(presigned_url, data=data) + hf_raise_for_status(r) + parts.append( + { + "etag": r.headers.get("etag"), + "partNumber": i + 1, + } + ) + # In order to support progress reporting while data is uploading / downloading, + # the transfer process should post messages to stdout + write_msg( + { + "event": "progress", + "oid": oid, + "bytesSoFar": (i + 1) * chunk_size, + "bytesSinceLast": chunk_size, + } + ) + # Not precise but that's ok. + + r = get_session().post( + completion_url, + json={ + "oid": oid, + "parts": parts, + }, + ) + hf_raise_for_status(r) + + write_msg({"event": "complete", "oid": oid}) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/repo.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/repo.py new file mode 100644 index 0000000000000000000000000000000000000000..e11f316610830527c360353334b1d36b95e9171d --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/repo.py @@ -0,0 +1,247 @@ +# Copyright 2025 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains commands to interact with repositories on the Hugging Face Hub. + +Usage: + # create a new dataset repo on the Hub + hf repo create my-cool-dataset --repo-type=dataset + + # create a private model repo on the Hub + hf repo create my-cool-model --private +""" + +import argparse +from argparse import _SubParsersAction +from typing import Optional + +from requests.exceptions import HTTPError + +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.commands._cli_utils import ANSI +from huggingface_hub.constants import REPO_TYPES, SPACES_SDK_TYPES +from huggingface_hub.errors import HfHubHTTPError, RepositoryNotFoundError, RevisionNotFoundError +from huggingface_hub.hf_api import HfApi +from huggingface_hub.utils import logging + + +logger = logging.get_logger(__name__) + + +class RepoCommands(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + repo_parser = parser.add_parser("repo", help="Manage repos on the Hub.") + repo_subparsers = repo_parser.add_subparsers(help="huggingface.co repos related commands") + + # Show help if no subcommand is provided + repo_parser.set_defaults(func=lambda args: repo_parser.print_help()) + + # CREATE + repo_create_parser = repo_subparsers.add_parser("create", help="Create a new repo on huggingface.co") + repo_create_parser.add_argument( + "repo_id", + type=str, + help="The ID of the repo to create to (e.g. `username/repo-name`). The username is optional and will be set to your username if not provided.", + ) + repo_create_parser.add_argument( + "--repo-type", + type=str, + help='Optional: set to "dataset" or "space" if creating a dataset or space, default is model.', + ) + repo_create_parser.add_argument( + "--space_sdk", + type=str, + help='Optional: Hugging Face Spaces SDK type. Required when --type is set to "space".', + choices=SPACES_SDK_TYPES, + ) + repo_create_parser.add_argument( + "--private", + action="store_true", + help="Whether to create a private repository. Defaults to public unless the organization's default is private.", + ) + repo_create_parser.add_argument( + "--token", + type=str, + help="Hugging Face token. Will default to the locally saved token if not provided.", + ) + repo_create_parser.add_argument( + "--exist-ok", + action="store_true", + help="Do not raise an error if repo already exists.", + ) + repo_create_parser.add_argument( + "--resource-group-id", + type=str, + help="Resource group in which to create the repo. Resource groups is only available for Enterprise Hub organizations.", + ) + repo_create_parser.set_defaults(func=lambda args: RepoCreateCommand(args)) + + # TAG SUBCOMMANDS + repo_tag_parser = repo_subparsers.add_parser("tag", help="Manage tags for a repo on the Hub.") + tag_subparsers = repo_tag_parser.add_subparsers(help="Tag actions", dest="tag_action", required=True) + + # tag create + tag_create_parser = tag_subparsers.add_parser("create", help="Create a tag for a repo.") + tag_create_parser.add_argument( + "repo_id", type=str, help="The ID of the repo to tag (e.g. `username/repo-name`)." + ) + tag_create_parser.add_argument("tag", type=str, help="The name of the tag to create.") + tag_create_parser.add_argument("-m", "--message", type=str, help="The description of the tag to create.") + tag_create_parser.add_argument("--revision", type=str, help="The git revision to tag.") + tag_create_parser.add_argument( + "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens." + ) + tag_create_parser.add_argument( + "--repo-type", + choices=["model", "dataset", "space"], + default="model", + help="Set the type of repository (model, dataset, or space).", + ) + tag_create_parser.set_defaults(func=lambda args: RepoTagCreateCommand(args)) + + # tag list + tag_list_parser = tag_subparsers.add_parser("list", help="List tags for a repo.") + tag_list_parser.add_argument( + "repo_id", type=str, help="The ID of the repo to list tags for (e.g. `username/repo-name`)." + ) + tag_list_parser.add_argument( + "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens." + ) + tag_list_parser.add_argument( + "--repo-type", + choices=["model", "dataset", "space"], + default="model", + help="Set the type of repository (model, dataset, or space).", + ) + tag_list_parser.set_defaults(func=lambda args: RepoTagListCommand(args)) + + # tag delete + tag_delete_parser = tag_subparsers.add_parser("delete", help="Delete a tag from a repo.") + tag_delete_parser.add_argument( + "repo_id", type=str, help="The ID of the repo to delete the tag from (e.g. `username/repo-name`)." + ) + tag_delete_parser.add_argument("tag", type=str, help="The name of the tag to delete.") + tag_delete_parser.add_argument("-y", "--yes", action="store_true", help="Answer Yes to prompts automatically.") + tag_delete_parser.add_argument( + "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens." + ) + tag_delete_parser.add_argument( + "--repo-type", + choices=["model", "dataset", "space"], + default="model", + help="Set the type of repository (model, dataset, or space).", + ) + tag_delete_parser.set_defaults(func=lambda args: RepoTagDeleteCommand(args)) + + +class RepoCreateCommand: + def __init__(self, args: argparse.Namespace): + self.repo_id: str = args.repo_id + self.repo_type: Optional[str] = args.repo_type + self.space_sdk: Optional[str] = args.space_sdk + self.private: bool = args.private + self.token: Optional[str] = args.token + self.exist_ok: bool = args.exist_ok + self.resource_group_id: Optional[str] = args.resource_group_id + self._api = HfApi() + + def run(self): + repo_url = self._api.create_repo( + repo_id=self.repo_id, + repo_type=self.repo_type, + private=self.private, + token=self.token, + exist_ok=self.exist_ok, + resource_group_id=self.resource_group_id, + space_sdk=self.space_sdk, + ) + print(f"Successfully created {ANSI.bold(repo_url.repo_id)} on the Hub.") + print(f"Your repo is now available at {ANSI.bold(repo_url)}") + + +class RepoTagCommand: + def __init__(self, args): + self.args = args + self.api = HfApi(token=getattr(args, "token", None)) + self.repo_id = args.repo_id + self.repo_type = getattr(args, "repo_type", "model") + if self.repo_type not in REPO_TYPES: + print("Invalid repo --repo-type") + exit(1) + + +class RepoTagCreateCommand(RepoTagCommand): + def run(self): + print(f"You are about to create tag {ANSI.bold(self.args.tag)} on {self.repo_type} {ANSI.bold(self.repo_id)}") + try: + self.api.create_tag( + repo_id=self.repo_id, + tag=self.args.tag, + tag_message=getattr(self.args, "message", None), + revision=getattr(self.args, "revision", None), + repo_type=self.repo_type, + ) + except RepositoryNotFoundError: + print(f"{self.repo_type.capitalize()} {ANSI.bold(self.repo_id)} not found.") + exit(1) + except RevisionNotFoundError: + print(f"Revision {ANSI.bold(getattr(self.args, 'revision', None))} not found.") + exit(1) + except HfHubHTTPError as e: + if e.response.status_code == 409: + print(f"Tag {ANSI.bold(self.args.tag)} already exists on {ANSI.bold(self.repo_id)}") + exit(1) + raise e + print(f"Tag {ANSI.bold(self.args.tag)} created on {ANSI.bold(self.repo_id)}") + + +class RepoTagListCommand(RepoTagCommand): + def run(self): + try: + refs = self.api.list_repo_refs( + repo_id=self.repo_id, + repo_type=self.repo_type, + ) + except RepositoryNotFoundError: + print(f"{self.repo_type.capitalize()} {ANSI.bold(self.repo_id)} not found.") + exit(1) + except HTTPError as e: + print(e) + print(ANSI.red(e.response.text)) + exit(1) + if len(refs.tags) == 0: + print("No tags found") + exit(0) + print(f"Tags for {self.repo_type} {ANSI.bold(self.repo_id)}:") + for tag in refs.tags: + print(tag.name) + + +class RepoTagDeleteCommand(RepoTagCommand): + def run(self): + print(f"You are about to delete tag {ANSI.bold(self.args.tag)} on {self.repo_type} {ANSI.bold(self.repo_id)}") + if not getattr(self.args, "yes", False): + choice = input("Proceed? [Y/n] ").lower() + if choice not in ("", "y", "yes"): + print("Abort") + exit() + try: + self.api.delete_tag(repo_id=self.repo_id, tag=self.args.tag, repo_type=self.repo_type) + except RepositoryNotFoundError: + print(f"{self.repo_type.capitalize()} {ANSI.bold(self.repo_id)} not found.") + exit(1) + except RevisionNotFoundError: + print(f"Tag {ANSI.bold(self.args.tag)} not found on {ANSI.bold(self.repo_id)}") + exit(1) + print(f"Tag {ANSI.bold(self.args.tag)} deleted on {ANSI.bold(self.repo_id)}") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/repo_files.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/repo_files.py new file mode 100644 index 0000000000000000000000000000000000000000..34fbeb09c23ef7b7a4619fed7352e3553a134a0d --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/repo_files.py @@ -0,0 +1,128 @@ +# coding=utf-8 +# Copyright 2023-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains command to update or delete files in a repository using the CLI. + +Usage: + # delete all + hf repo-files delete "*" + + # delete single file + hf repo-files delete file.txt + + # delete single folder + hf repo-files delete folder/ + + # delete multiple + hf repo-files delete file.txt folder/ file2.txt + + # delete multiple patterns + hf repo-files delete file.txt "*.json" "folder/*.parquet" + + # delete from different revision / repo-type + hf repo-files delete file.txt --revision=refs/pr/1 --repo-type=dataset +""" + +from argparse import _SubParsersAction +from typing import List, Optional + +from huggingface_hub import logging +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.hf_api import HfApi + + +logger = logging.get_logger(__name__) + + +class DeleteFilesSubCommand: + def __init__(self, args) -> None: + self.args = args + self.repo_id: str = args.repo_id + self.repo_type: Optional[str] = args.repo_type + self.revision: Optional[str] = args.revision + self.api: HfApi = HfApi(token=args.token, library_name="hf") + self.patterns: List[str] = args.patterns + self.commit_message: Optional[str] = args.commit_message + self.commit_description: Optional[str] = args.commit_description + self.create_pr: bool = args.create_pr + self.token: Optional[str] = args.token + + def run(self) -> None: + logging.set_verbosity_info() + url = self.api.delete_files( + delete_patterns=self.patterns, + repo_id=self.repo_id, + repo_type=self.repo_type, + revision=self.revision, + commit_message=self.commit_message, + commit_description=self.commit_description, + create_pr=self.create_pr, + ) + print(f"Files correctly deleted from repo. Commit: {url}.") + logging.set_verbosity_warning() + + +class RepoFilesCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + repo_files_parser = parser.add_parser("repo-files", help="Manage files in a repo on the Hub.") + repo_files_subparsers = repo_files_parser.add_subparsers( + help="Action to execute against the files.", + required=True, + ) + delete_subparser = repo_files_subparsers.add_parser( + "delete", + help="Delete files from a repo on the Hub", + ) + delete_subparser.set_defaults(func=lambda args: DeleteFilesSubCommand(args)) + delete_subparser.add_argument( + "repo_id", type=str, help="The ID of the repo to manage (e.g. `username/repo-name`)." + ) + delete_subparser.add_argument( + "patterns", + nargs="+", + type=str, + help="Glob patterns to match files to delete.", + ) + delete_subparser.add_argument( + "--repo-type", + choices=["model", "dataset", "space"], + default="model", + help="Type of the repo to upload to (e.g. `dataset`).", + ) + delete_subparser.add_argument( + "--revision", + type=str, + help=( + "An optional Git revision to push to. It can be a branch name " + "or a PR reference. If revision does not" + " exist and `--create-pr` is not set, a branch will be automatically created." + ), + ) + delete_subparser.add_argument( + "--commit-message", type=str, help="The summary / title / first line of the generated commit." + ) + delete_subparser.add_argument( + "--commit-description", type=str, help="The description of the generated commit." + ) + delete_subparser.add_argument( + "--create-pr", action="store_true", help="Whether to create a new Pull Request for these changes." + ) + delete_subparser.add_argument( + "--token", + type=str, + help="A User Access Token generated from https://huggingface.co/settings/tokens", + ) + + repo_files_parser.set_defaults(func=RepoFilesCommand) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/system.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/system.py new file mode 100644 index 0000000000000000000000000000000000000000..03650175e9b71e329755de5c86e5bbf50569d4b7 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/system.py @@ -0,0 +1,52 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains commands to print information about the environment and version. + +Usage: + hf env + hf version +""" + +from argparse import _SubParsersAction + +from huggingface_hub import __version__ + +from ..utils import dump_environment_info +from . import BaseHuggingfaceCLICommand + + +class EnvironmentCommand(BaseHuggingfaceCLICommand): + def __init__(self, args): + self.args = args + + @staticmethod + def register_subcommand(parser: _SubParsersAction): + env_parser = parser.add_parser("env", help="Print information about the environment.") + env_parser.set_defaults(func=EnvironmentCommand) + + def run(self) -> None: + dump_environment_info() + + +class VersionCommand(BaseHuggingfaceCLICommand): + def __init__(self, args): + self.args = args + + @staticmethod + def register_subcommand(parser: _SubParsersAction): + version_parser = parser.add_parser("version", help="Print information about the hf version.") + version_parser.set_defaults(func=VersionCommand) + + def run(self) -> None: + print(f"huggingface_hub version: {__version__}") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/upload.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/upload.py new file mode 100644 index 0000000000000000000000000000000000000000..07ab79bf24faadaf08224a64ccfbbbfb4018d658 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/upload.py @@ -0,0 +1,316 @@ +# coding=utf-8 +# Copyright 2023-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains command to upload a repo or file with the CLI. + +Usage: + # Upload file (implicit) + hf upload my-cool-model ./my-cool-model.safetensors + + # Upload file (explicit) + hf upload my-cool-model ./my-cool-model.safetensors model.safetensors + + # Upload directory (implicit). If `my-cool-model/` is a directory it will be uploaded, otherwise an exception is raised. + hf upload my-cool-model + + # Upload directory (explicit) + hf upload my-cool-model ./models/my-cool-model . + + # Upload filtered directory (example: tensorboard logs except for the last run) + hf upload my-cool-model ./model/training /logs --include "*.tfevents.*" --exclude "*20230905*" + + # Upload with wildcard + hf upload my-cool-model "./model/training/*.safetensors" + + # Upload private dataset + hf upload Wauplin/my-cool-dataset ./data . --repo-type=dataset --private + + # Upload with token + hf upload Wauplin/my-cool-model --token=hf_**** + + # Sync local Space with Hub (upload new files, delete removed files) + hf upload Wauplin/space-example --repo-type=space --exclude="/logs/*" --delete="*" --commit-message="Sync local Space with Hub" + + # Schedule commits every 30 minutes + hf upload Wauplin/my-cool-model --every=30 +""" + +import os +import time +import warnings +from argparse import Namespace, _SubParsersAction +from typing import List, Optional + +from huggingface_hub import logging +from huggingface_hub._commit_scheduler import CommitScheduler +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.constants import HF_HUB_ENABLE_HF_TRANSFER +from huggingface_hub.errors import RevisionNotFoundError +from huggingface_hub.hf_api import HfApi +from huggingface_hub.utils import disable_progress_bars, enable_progress_bars +from huggingface_hub.utils._runtime import is_xet_available + + +logger = logging.get_logger(__name__) + + +class UploadCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + upload_parser = parser.add_parser( + "upload", help="Upload a file or a folder to the Hub. Recommended for single-commit uploads." + ) + upload_parser.add_argument( + "repo_id", type=str, help="The ID of the repo to upload to (e.g. `username/repo-name`)." + ) + upload_parser.add_argument( + "local_path", + nargs="?", + help="Local path to the file or folder to upload. Wildcard patterns are supported. Defaults to current directory.", + ) + upload_parser.add_argument( + "path_in_repo", + nargs="?", + help="Path of the file or folder in the repo. Defaults to the relative path of the file or folder.", + ) + upload_parser.add_argument( + "--repo-type", + choices=["model", "dataset", "space"], + default="model", + help="Type of the repo to upload to (e.g. `dataset`).", + ) + upload_parser.add_argument( + "--revision", + type=str, + help=( + "An optional Git revision to push to. It can be a branch name or a PR reference. If revision does not" + " exist and `--create-pr` is not set, a branch will be automatically created." + ), + ) + upload_parser.add_argument( + "--private", + action="store_true", + help=( + "Whether to create a private repo if repo doesn't exist on the Hub. Ignored if the repo already" + " exists." + ), + ) + upload_parser.add_argument("--include", nargs="*", type=str, help="Glob patterns to match files to upload.") + upload_parser.add_argument( + "--exclude", nargs="*", type=str, help="Glob patterns to exclude from files to upload." + ) + upload_parser.add_argument( + "--delete", + nargs="*", + type=str, + help="Glob patterns for file to be deleted from the repo while committing.", + ) + upload_parser.add_argument( + "--commit-message", type=str, help="The summary / title / first line of the generated commit." + ) + upload_parser.add_argument("--commit-description", type=str, help="The description of the generated commit.") + upload_parser.add_argument( + "--create-pr", action="store_true", help="Whether to upload content as a new Pull Request." + ) + upload_parser.add_argument( + "--every", + type=float, + help="If set, a background job is scheduled to create commits every `every` minutes.", + ) + upload_parser.add_argument( + "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens" + ) + upload_parser.add_argument( + "--quiet", + action="store_true", + help="If True, progress bars are disabled and only the path to the uploaded files is printed.", + ) + upload_parser.set_defaults(func=UploadCommand) + + def __init__(self, args: Namespace) -> None: + self.repo_id: str = args.repo_id + self.repo_type: Optional[str] = args.repo_type + self.revision: Optional[str] = args.revision + self.private: bool = args.private + + self.include: Optional[List[str]] = args.include + self.exclude: Optional[List[str]] = args.exclude + self.delete: Optional[List[str]] = args.delete + + self.commit_message: Optional[str] = args.commit_message + self.commit_description: Optional[str] = args.commit_description + self.create_pr: bool = args.create_pr + self.api: HfApi = HfApi(token=args.token, library_name="hf") + self.quiet: bool = args.quiet # disable warnings and progress bars + + # Check `--every` is valid + if args.every is not None and args.every <= 0: + raise ValueError(f"`every` must be a positive value (got '{args.every}')") + self.every: Optional[float] = args.every + + # Resolve `local_path` and `path_in_repo` + repo_name: str = args.repo_id.split("/")[-1] # e.g. "Wauplin/my-cool-model" => "my-cool-model" + self.local_path: str + self.path_in_repo: str + + if args.local_path is not None and any(c in args.local_path for c in ["*", "?", "["]): + if args.include is not None: + raise ValueError("Cannot set `--include` when passing a `local_path` containing a wildcard.") + if args.path_in_repo is not None and args.path_in_repo != ".": + raise ValueError("Cannot set `path_in_repo` when passing a `local_path` containing a wildcard.") + self.local_path = "." + self.include = args.local_path + self.path_in_repo = "." + elif args.local_path is None and os.path.isfile(repo_name): + # Implicit case 1: user provided only a repo_id which happen to be a local file as well => upload it with same name + self.local_path = repo_name + self.path_in_repo = repo_name + elif args.local_path is None and os.path.isdir(repo_name): + # Implicit case 2: user provided only a repo_id which happen to be a local folder as well => upload it at root + self.local_path = repo_name + self.path_in_repo = "." + elif args.local_path is None: + # Implicit case 3: user provided only a repo_id that does not match a local file or folder + # => the user must explicitly provide a local_path => raise exception + raise ValueError(f"'{repo_name}' is not a local file or folder. Please set `local_path` explicitly.") + elif args.path_in_repo is None and os.path.isfile(args.local_path): + # Explicit local path to file, no path in repo => upload it at root with same name + self.local_path = args.local_path + self.path_in_repo = os.path.basename(args.local_path) + elif args.path_in_repo is None: + # Explicit local path to folder, no path in repo => upload at root + self.local_path = args.local_path + self.path_in_repo = "." + else: + # Finally, if both paths are explicit + self.local_path = args.local_path + self.path_in_repo = args.path_in_repo + + def run(self) -> None: + if self.quiet: + disable_progress_bars() + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + print(self._upload()) + enable_progress_bars() + else: + logging.set_verbosity_info() + print(self._upload()) + logging.set_verbosity_warning() + + def _upload(self) -> str: + if os.path.isfile(self.local_path): + if self.include is not None and len(self.include) > 0: + warnings.warn("Ignoring `--include` since a single file is uploaded.") + if self.exclude is not None and len(self.exclude) > 0: + warnings.warn("Ignoring `--exclude` since a single file is uploaded.") + if self.delete is not None and len(self.delete) > 0: + warnings.warn("Ignoring `--delete` since a single file is uploaded.") + + if not is_xet_available() and not HF_HUB_ENABLE_HF_TRANSFER: + logger.info( + "Consider using `hf_transfer` for faster uploads. This solution comes with some limitations. See" + " https://huggingface.co/docs/huggingface_hub/hf_transfer for more details." + ) + + # Schedule commits if `every` is set + if self.every is not None: + if os.path.isfile(self.local_path): + # If file => watch entire folder + use allow_patterns + folder_path = os.path.dirname(self.local_path) + path_in_repo = ( + self.path_in_repo[: -len(self.local_path)] # remove filename from path_in_repo + if self.path_in_repo.endswith(self.local_path) + else self.path_in_repo + ) + allow_patterns = [self.local_path] + ignore_patterns = [] + else: + folder_path = self.local_path + path_in_repo = self.path_in_repo + allow_patterns = self.include or [] + ignore_patterns = self.exclude or [] + if self.delete is not None and len(self.delete) > 0: + warnings.warn("Ignoring `--delete` when uploading with scheduled commits.") + + scheduler = CommitScheduler( + folder_path=folder_path, + repo_id=self.repo_id, + repo_type=self.repo_type, + revision=self.revision, + allow_patterns=allow_patterns, + ignore_patterns=ignore_patterns, + path_in_repo=path_in_repo, + private=self.private, + every=self.every, + hf_api=self.api, + ) + print(f"Scheduling commits every {self.every} minutes to {scheduler.repo_id}.") + try: # Block main thread until KeyboardInterrupt + while True: + time.sleep(100) + except KeyboardInterrupt: + scheduler.stop() + return "Stopped scheduled commits." + + # Otherwise, create repo and proceed with the upload + if not os.path.isfile(self.local_path) and not os.path.isdir(self.local_path): + raise FileNotFoundError(f"No such file or directory: '{self.local_path}'.") + repo_id = self.api.create_repo( + repo_id=self.repo_id, + repo_type=self.repo_type, + exist_ok=True, + private=self.private, + space_sdk="gradio" if self.repo_type == "space" else None, + # ^ We don't want it to fail when uploading to a Space => let's set Gradio by default. + # ^ I'd rather not add CLI args to set it explicitly as we already have `hf repo create` for that. + ).repo_id + + # Check if branch already exists and if not, create it + if self.revision is not None and not self.create_pr: + try: + self.api.repo_info(repo_id=repo_id, repo_type=self.repo_type, revision=self.revision) + except RevisionNotFoundError: + logger.info(f"Branch '{self.revision}' not found. Creating it...") + self.api.create_branch(repo_id=repo_id, repo_type=self.repo_type, branch=self.revision, exist_ok=True) + # ^ `exist_ok=True` to avoid race concurrency issues + + # File-based upload + if os.path.isfile(self.local_path): + return self.api.upload_file( + path_or_fileobj=self.local_path, + path_in_repo=self.path_in_repo, + repo_id=repo_id, + repo_type=self.repo_type, + revision=self.revision, + commit_message=self.commit_message, + commit_description=self.commit_description, + create_pr=self.create_pr, + ) + + # Folder-based upload + else: + return self.api.upload_folder( + folder_path=self.local_path, + path_in_repo=self.path_in_repo, + repo_id=repo_id, + repo_type=self.repo_type, + revision=self.revision, + commit_message=self.commit_message, + commit_description=self.commit_description, + create_pr=self.create_pr, + allow_patterns=self.include, + ignore_patterns=self.exclude, + delete_patterns=self.delete, + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/upload_large_folder.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/upload_large_folder.py new file mode 100644 index 0000000000000000000000000000000000000000..618cd21b52748d840710d632115df7d132de6115 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/cli/upload_large_folder.py @@ -0,0 +1,132 @@ +# coding=utf-8 +# Copyright 2023-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains command to upload a large folder with the CLI.""" + +import os +from argparse import Namespace, _SubParsersAction +from typing import List, Optional + +from huggingface_hub import logging +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.hf_api import HfApi +from huggingface_hub.utils import disable_progress_bars + +from ._cli_utils import ANSI + + +logger = logging.get_logger(__name__) + + +class UploadLargeFolderCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + subparser = parser.add_parser( + "upload-large-folder", + help="Upload a large folder to the Hub. Recommended for resumable uploads.", + ) + subparser.add_argument( + "repo_id", type=str, help="The ID of the repo to upload to (e.g. `username/repo-name`)." + ) + subparser.add_argument("local_path", type=str, help="Local path to the file or folder to upload.") + subparser.add_argument( + "--repo-type", + choices=["model", "dataset", "space"], + help="Type of the repo to upload to (e.g. `dataset`).", + ) + subparser.add_argument( + "--revision", + type=str, + help=("An optional Git revision to push to. It can be a branch name or a PR reference."), + ) + subparser.add_argument( + "--private", + action="store_true", + help=( + "Whether to create a private repo if repo doesn't exist on the Hub. Ignored if the repo already exists." + ), + ) + subparser.add_argument("--include", nargs="*", type=str, help="Glob patterns to match files to upload.") + subparser.add_argument("--exclude", nargs="*", type=str, help="Glob patterns to exclude from files to upload.") + subparser.add_argument( + "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens" + ) + subparser.add_argument( + "--num-workers", type=int, help="Number of workers to use to hash, upload and commit files." + ) + subparser.add_argument("--no-report", action="store_true", help="Whether to disable regular status report.") + subparser.add_argument("--no-bars", action="store_true", help="Whether to disable progress bars.") + subparser.set_defaults(func=UploadLargeFolderCommand) + + def __init__(self, args: Namespace) -> None: + self.repo_id: str = args.repo_id + self.local_path: str = args.local_path + self.repo_type: str = args.repo_type + self.revision: Optional[str] = args.revision + self.private: bool = args.private + + self.include: Optional[List[str]] = args.include + self.exclude: Optional[List[str]] = args.exclude + + self.api: HfApi = HfApi(token=args.token, library_name="hf") + + self.num_workers: Optional[int] = args.num_workers + self.no_report: bool = args.no_report + self.no_bars: bool = args.no_bars + + if not os.path.isdir(self.local_path): + raise ValueError("Large upload is only supported for folders.") + + def run(self) -> None: + logging.set_verbosity_info() + + print( + ANSI.yellow( + "You are about to upload a large folder to the Hub using `hf upload-large-folder`. " + "This is a new feature so feedback is very welcome!\n" + "\n" + "A few things to keep in mind:\n" + " - Repository limits still apply: https://huggingface.co/docs/hub/repositories-recommendations\n" + " - Do not start several processes in parallel.\n" + " - You can interrupt and resume the process at any time. " + "The script will pick up where it left off except for partially uploaded files that would have to be entirely reuploaded.\n" + " - Do not upload the same folder to several repositories. If you need to do so, you must delete the `./.cache/huggingface/` folder first.\n" + "\n" + f"Some temporary metadata will be stored under `{self.local_path}/.cache/huggingface`.\n" + " - You must not modify those files manually.\n" + " - You must not delete the `./.cache/huggingface/` folder while a process is running.\n" + " - You can delete the `./.cache/huggingface/` folder to reinitialize the upload state when process is not running. Files will have to be hashed and preuploaded again, except for already committed files.\n" + "\n" + "If the process output is too verbose, you can disable the progress bars with `--no-bars`. " + "You can also entirely disable the status report with `--no-report`.\n" + "\n" + "For more details, run `hf upload-large-folder --help` or check the documentation at " + "https://huggingface.co/docs/huggingface_hub/guides/upload#upload-a-large-folder." + ) + ) + + if self.no_bars: + disable_progress_bars() + + self.api.upload_large_folder( + repo_id=self.repo_id, + folder_path=self.local_path, + repo_type=self.repo_type, + revision=self.revision, + private=self.private, + allow_patterns=self.include, + ignore_patterns=self.exclude, + num_workers=self.num_workers, + print_report=not self.no_report, + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..49d088214505b9604964ab142e7f8a5b38ccd5ef --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/__init__.py @@ -0,0 +1,27 @@ +# Copyright 2020 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from abc import ABC, abstractmethod +from argparse import _SubParsersAction + + +class BaseHuggingfaceCLICommand(ABC): + @staticmethod + @abstractmethod + def register_subcommand(parser: _SubParsersAction): + raise NotImplementedError() + + @abstractmethod + def run(self): + raise NotImplementedError() diff --git 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b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/_cli_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..bf4a1c0373b4d4bb71a3f4e8ea39da5a01cc79a7 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/_cli_utils.py @@ -0,0 +1,74 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains a utility for good-looking prints.""" + +import os +from typing import List, Union + + +class ANSI: + """ + Helper for en.wikipedia.org/wiki/ANSI_escape_code + """ + + _bold = "\u001b[1m" + _gray = "\u001b[90m" + _red = "\u001b[31m" + _reset = "\u001b[0m" + _yellow = "\u001b[33m" + + @classmethod + def bold(cls, s: str) -> str: + return cls._format(s, cls._bold) + + @classmethod + def gray(cls, s: str) -> str: + return cls._format(s, cls._gray) + + @classmethod + def red(cls, s: str) -> str: + return cls._format(s, cls._bold + cls._red) + + @classmethod + def yellow(cls, s: str) -> str: + return cls._format(s, cls._yellow) + + @classmethod + def _format(cls, s: str, code: str) -> str: + if os.environ.get("NO_COLOR"): + # See https://no-color.org/ + return s + return f"{code}{s}{cls._reset}" + + +def tabulate(rows: List[List[Union[str, int]]], headers: List[str]) -> str: + """ + Inspired by: + + - stackoverflow.com/a/8356620/593036 + - stackoverflow.com/questions/9535954/printing-lists-as-tabular-data + """ + col_widths = [max(len(str(x)) for x in col) for col in zip(*rows, headers)] + row_format = ("{{:{}}} " * len(headers)).format(*col_widths) + lines = [] + lines.append(row_format.format(*headers)) + lines.append(row_format.format(*["-" * w for w in col_widths])) + for row in rows: + lines.append(row_format.format(*row)) + return "\n".join(lines) + + +def show_deprecation_warning(old_command: str, new_command: str): + """Show a yellow warning about deprecated CLI command.""" + print(ANSI.yellow(f"⚠️ Warning: '{old_command}' is deprecated. Use '{new_command}' instead.")) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/delete_cache.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/delete_cache.py new file mode 100644 index 0000000000000000000000000000000000000000..25fffd07eef4d2dd92d22fc698cf965435c9c66a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/delete_cache.py @@ -0,0 +1,476 @@ +# coding=utf-8 +# Copyright 2022-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains command to delete some revisions from the HF cache directory. + +Usage: + huggingface-cli delete-cache + huggingface-cli delete-cache --disable-tui + huggingface-cli delete-cache --dir ~/.cache/huggingface/hub + huggingface-cli delete-cache --sort=size + +NOTE: + This command is based on `InquirerPy` to build the multiselect menu in the terminal. + This dependency has to be installed with `pip install huggingface_hub[cli]`. Since + we want to avoid as much as possible cross-platform issues, I chose a library that + is built on top of `python-prompt-toolkit` which seems to be a reference in terminal + GUI (actively maintained on both Unix and Windows, 7.9k stars). + + For the moment, the TUI feature is in beta. + + See: + - https://github.com/kazhala/InquirerPy + - https://inquirerpy.readthedocs.io/en/latest/ + - https://github.com/prompt-toolkit/python-prompt-toolkit + + Other solutions could have been: + - `simple_term_menu`: would be good as well for our use case but some issues suggest + that Windows is less supported. + See: https://github.com/IngoMeyer441/simple-term-menu + - `PyInquirer`: very similar to `InquirerPy` but older and not maintained anymore. + In particular, no support of Python3.10. + See: https://github.com/CITGuru/PyInquirer + - `pick` (or `pickpack`): easy to use and flexible but built on top of Python's + standard library `curses` that is specific to Unix (not implemented on Windows). + See https://github.com/wong2/pick and https://github.com/anafvana/pickpack. + - `inquirer`: lot of traction (700 stars) but explicitly states "experimental + support of Windows". Not built on top of `python-prompt-toolkit`. + See https://github.com/magmax/python-inquirer + +TODO: add support for `huggingface-cli delete-cache aaaaaa bbbbbb cccccc (...)` ? +TODO: add "--keep-last" arg to delete revisions that are not on `main` ref +TODO: add "--filter" arg to filter repositories by name ? +TODO: add "--limit" arg to limit to X repos ? +TODO: add "-y" arg for immediate deletion ? +See discussions in https://github.com/huggingface/huggingface_hub/issues/1025. +""" + +import os +from argparse import Namespace, _SubParsersAction +from functools import wraps +from tempfile import mkstemp +from typing import Any, Callable, Iterable, List, Literal, Optional, Union + +from ..utils import CachedRepoInfo, CachedRevisionInfo, HFCacheInfo, scan_cache_dir +from . import BaseHuggingfaceCLICommand +from ._cli_utils import ANSI, show_deprecation_warning + + +try: + from InquirerPy import inquirer + from InquirerPy.base.control import Choice + from InquirerPy.separator import Separator + + _inquirer_py_available = True +except ImportError: + _inquirer_py_available = False + +SortingOption_T = Literal["alphabetical", "lastUpdated", "lastUsed", "size"] + + +def require_inquirer_py(fn: Callable) -> Callable: + """Decorator to flag methods that require `InquirerPy`.""" + + # TODO: refactor this + imports in a unified pattern across codebase + @wraps(fn) + def _inner(*args, **kwargs): + if not _inquirer_py_available: + raise ImportError( + "The `delete-cache` command requires extra dependencies to work with" + " the TUI.\nPlease run `pip install huggingface_hub[cli]` to install" + " them.\nOtherwise, disable TUI using the `--disable-tui` flag." + ) + + return fn(*args, **kwargs) + + return _inner + + +# Possibility for the user to cancel deletion +_CANCEL_DELETION_STR = "CANCEL_DELETION" + + +class DeleteCacheCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + delete_cache_parser = parser.add_parser("delete-cache", help="Delete revisions from the cache directory.") + + delete_cache_parser.add_argument( + "--dir", + type=str, + default=None, + help="cache directory (optional). Default to the default HuggingFace cache.", + ) + + delete_cache_parser.add_argument( + "--disable-tui", + action="store_true", + help=( + "Disable Terminal User Interface (TUI) mode. Useful if your" + " platform/terminal doesn't support the multiselect menu." + ), + ) + + delete_cache_parser.add_argument( + "--sort", + nargs="?", + choices=["alphabetical", "lastUpdated", "lastUsed", "size"], + help=( + "Sort repositories by the specified criteria. Options: " + "'alphabetical' (A-Z), " + "'lastUpdated' (newest first), " + "'lastUsed' (most recent first), " + "'size' (largest first)." + ), + ) + + delete_cache_parser.set_defaults(func=DeleteCacheCommand) + + def __init__(self, args: Namespace) -> None: + self.cache_dir: Optional[str] = args.dir + self.disable_tui: bool = args.disable_tui + self.sort_by: Optional[SortingOption_T] = args.sort + + def run(self): + """Run `delete-cache` command with or without TUI.""" + show_deprecation_warning("huggingface-cli delete-cache", "hf cache delete") + + # Scan cache directory + hf_cache_info = scan_cache_dir(self.cache_dir) + + # Manual review from the user + if self.disable_tui: + selected_hashes = _manual_review_no_tui(hf_cache_info, preselected=[], sort_by=self.sort_by) + else: + selected_hashes = _manual_review_tui(hf_cache_info, preselected=[], sort_by=self.sort_by) + + # If deletion is not cancelled + if len(selected_hashes) > 0 and _CANCEL_DELETION_STR not in selected_hashes: + confirm_message = _get_expectations_str(hf_cache_info, selected_hashes) + " Confirm deletion ?" + + # Confirm deletion + if self.disable_tui: + confirmed = _ask_for_confirmation_no_tui(confirm_message) + else: + confirmed = _ask_for_confirmation_tui(confirm_message) + + # Deletion is confirmed + if confirmed: + strategy = hf_cache_info.delete_revisions(*selected_hashes) + print("Start deletion.") + strategy.execute() + print( + f"Done. Deleted {len(strategy.repos)} repo(s) and" + f" {len(strategy.snapshots)} revision(s) for a total of" + f" {strategy.expected_freed_size_str}." + ) + return + + # Deletion is cancelled + print("Deletion is cancelled. Do nothing.") + + +def _get_repo_sorting_key(repo: CachedRepoInfo, sort_by: Optional[SortingOption_T] = None): + if sort_by == "alphabetical": + return (repo.repo_type, repo.repo_id.lower()) # by type then name + elif sort_by == "lastUpdated": + return -max(rev.last_modified for rev in repo.revisions) # newest first + elif sort_by == "lastUsed": + return -repo.last_accessed # most recently used first + elif sort_by == "size": + return -repo.size_on_disk # largest first + else: + return (repo.repo_type, repo.repo_id) # default stable order + + +@require_inquirer_py +def _manual_review_tui( + hf_cache_info: HFCacheInfo, + preselected: List[str], + sort_by: Optional[SortingOption_T] = None, +) -> List[str]: + """Ask the user for a manual review of the revisions to delete. + + Displays a multi-select menu in the terminal (TUI). + """ + # Define multiselect list + choices = _get_tui_choices_from_scan( + repos=hf_cache_info.repos, + preselected=preselected, + sort_by=sort_by, + ) + checkbox = inquirer.checkbox( + message="Select revisions to delete:", + choices=choices, # List of revisions with some pre-selection + cycle=False, # No loop between top and bottom + height=100, # Large list if possible + # We use the instruction to display to the user the expected effect of the + # deletion. + instruction=_get_expectations_str( + hf_cache_info, + selected_hashes=[c.value for c in choices if isinstance(c, Choice) and c.enabled], + ), + # We use the long instruction to should keybindings instructions to the user + long_instruction="Press to select, to validate and to quit without modification.", + # Message that is displayed once the user validates its selection. + transformer=lambda result: f"{len(result)} revision(s) selected.", + ) + + # Add a callback to update the information line when a revision is + # selected/unselected + def _update_expectations(_) -> None: + # Hacky way to dynamically set an instruction message to the checkbox when + # a revision hash is selected/unselected. + checkbox._instruction = _get_expectations_str( + hf_cache_info, + selected_hashes=[choice["value"] for choice in checkbox.content_control.choices if choice["enabled"]], + ) + + checkbox.kb_func_lookup["toggle"].append({"func": _update_expectations}) + + # Finally display the form to the user. + try: + return checkbox.execute() + except KeyboardInterrupt: + return [] # Quit without deletion + + +@require_inquirer_py +def _ask_for_confirmation_tui(message: str, default: bool = True) -> bool: + """Ask for confirmation using Inquirer.""" + return inquirer.confirm(message, default=default).execute() + + +def _get_tui_choices_from_scan( + repos: Iterable[CachedRepoInfo], + preselected: List[str], + sort_by: Optional[SortingOption_T] = None, +) -> List: + """Build a list of choices from the scanned repos. + + Args: + repos (*Iterable[`CachedRepoInfo`]*): + List of scanned repos on which we want to delete revisions. + preselected (*List[`str`]*): + List of revision hashes that will be preselected. + sort_by (*Optional[SortingOption_T]*): + Sorting direction. Choices: "alphabetical", "lastUpdated", "lastUsed", "size". + + Return: + The list of choices to pass to `inquirer.checkbox`. + """ + choices: List[Union[Choice, Separator]] = [] + + # First choice is to cancel the deletion + choices.append( + Choice( + _CANCEL_DELETION_STR, + name="None of the following (if selected, nothing will be deleted).", + enabled=False, + ) + ) + + # Sort repos based on specified criteria + sorted_repos = sorted(repos, key=lambda repo: _get_repo_sorting_key(repo, sort_by)) + + for repo in sorted_repos: + # Repo as separator + choices.append( + Separator( + f"\n{repo.repo_type.capitalize()} {repo.repo_id} ({repo.size_on_disk_str}," + f" used {repo.last_accessed_str})" + ) + ) + for revision in sorted(repo.revisions, key=_revision_sorting_order): + # Revision as choice + choices.append( + Choice( + revision.commit_hash, + name=( + f"{revision.commit_hash[:8]}:" + f" {', '.join(sorted(revision.refs)) or '(detached)'} #" + f" modified {revision.last_modified_str}" + ), + enabled=revision.commit_hash in preselected, + ) + ) + + # Return choices + return choices + + +def _manual_review_no_tui( + hf_cache_info: HFCacheInfo, + preselected: List[str], + sort_by: Optional[SortingOption_T] = None, +) -> List[str]: + """Ask the user for a manual review of the revisions to delete. + + Used when TUI is disabled. Manual review happens in a separate tmp file that the + user can manually edit. + """ + # 1. Generate temporary file with delete commands. + fd, tmp_path = mkstemp(suffix=".txt") # suffix to make it easier to find by editors + os.close(fd) + + lines = [] + + sorted_repos = sorted(hf_cache_info.repos, key=lambda repo: _get_repo_sorting_key(repo, sort_by)) + + for repo in sorted_repos: + lines.append( + f"\n# {repo.repo_type.capitalize()} {repo.repo_id} ({repo.size_on_disk_str}," + f" used {repo.last_accessed_str})" + ) + for revision in sorted(repo.revisions, key=_revision_sorting_order): + lines.append( + # Deselect by prepending a '#' + f"{'' if revision.commit_hash in preselected else '#'} " + f" {revision.commit_hash} # Refs:" + # Print `refs` as comment on same line + f" {', '.join(sorted(revision.refs)) or '(detached)'} # modified" + # Print `last_modified` as comment on same line + f" {revision.last_modified_str}" + ) + + with open(tmp_path, "w") as f: + f.write(_MANUAL_REVIEW_NO_TUI_INSTRUCTIONS) + f.write("\n".join(lines)) + + # 2. Prompt instructions to user. + instructions = f""" + TUI is disabled. In order to select which revisions you want to delete, please edit + the following file using the text editor of your choice. Instructions for manual + editing are located at the beginning of the file. Edit the file, save it and confirm + to continue. + File to edit: {ANSI.bold(tmp_path)} + """ + print("\n".join(line.strip() for line in instructions.strip().split("\n"))) + + # 3. Wait for user confirmation. + while True: + selected_hashes = _read_manual_review_tmp_file(tmp_path) + if _ask_for_confirmation_no_tui( + _get_expectations_str(hf_cache_info, selected_hashes) + " Continue ?", + default=False, + ): + break + + # 4. Return selected_hashes sorted to maintain stable order + os.remove(tmp_path) + return sorted(selected_hashes) # Sort to maintain stable order + + +def _ask_for_confirmation_no_tui(message: str, default: bool = True) -> bool: + """Ask for confirmation using pure-python.""" + YES = ("y", "yes", "1") + NO = ("n", "no", "0") + DEFAULT = "" + ALL = YES + NO + (DEFAULT,) + full_message = message + (" (Y/n) " if default else " (y/N) ") + while True: + answer = input(full_message).lower() + if answer == DEFAULT: + return default + if answer in YES: + return True + if answer in NO: + return False + print(f"Invalid input. Must be one of {ALL}") + + +def _get_expectations_str(hf_cache_info: HFCacheInfo, selected_hashes: List[str]) -> str: + """Format a string to display to the user how much space would be saved. + + Example: + ``` + >>> _get_expectations_str(hf_cache_info, selected_hashes) + '7 revisions selected counting for 4.3G.' + ``` + """ + if _CANCEL_DELETION_STR in selected_hashes: + return "Nothing will be deleted." + strategy = hf_cache_info.delete_revisions(*selected_hashes) + return f"{len(selected_hashes)} revisions selected counting for {strategy.expected_freed_size_str}." + + +def _read_manual_review_tmp_file(tmp_path: str) -> List[str]: + """Read the manually reviewed instruction file and return a list of revision hash. + + Example: + ```txt + # This is the tmp file content + ### + + # Commented out line + 123456789 # revision hash + + # Something else + # a_newer_hash # 2 days ago + an_older_hash # 3 days ago + ``` + + ```py + >>> _read_manual_review_tmp_file(tmp_path) + ['123456789', 'an_older_hash'] + ``` + """ + with open(tmp_path) as f: + content = f.read() + + # Split lines + lines = [line.strip() for line in content.split("\n")] + + # Filter commented lines + selected_lines = [line for line in lines if not line.startswith("#")] + + # Select only before comment + selected_hashes = [line.split("#")[0].strip() for line in selected_lines] + + # Return revision hashes + return [hash for hash in selected_hashes if len(hash) > 0] + + +_MANUAL_REVIEW_NO_TUI_INSTRUCTIONS = f""" +# INSTRUCTIONS +# ------------ +# This is a temporary file created by running `huggingface-cli delete-cache` with the +# `--disable-tui` option. It contains a set of revisions that can be deleted from your +# local cache directory. +# +# Please manually review the revisions you want to delete: +# - Revision hashes can be commented out with '#'. +# - Only non-commented revisions in this file will be deleted. +# - Revision hashes that are removed from this file are ignored as well. +# - If `{_CANCEL_DELETION_STR}` line is uncommented, the all cache deletion is cancelled and +# no changes will be applied. +# +# Once you've manually reviewed this file, please confirm deletion in the terminal. This +# file will be automatically removed once done. +# ------------ + +# KILL SWITCH +# ------------ +# Un-comment following line to completely cancel the deletion process +# {_CANCEL_DELETION_STR} +# ------------ + +# REVISIONS +# ------------ +""".strip() + + +def _revision_sorting_order(revision: CachedRevisionInfo) -> Any: + # Sort by last modified (oldest first) + return revision.last_modified diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/download.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/download.py new file mode 100644 index 0000000000000000000000000000000000000000..0dd2c1070ead01f9ad6855de3929928d268279c2 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/download.py @@ -0,0 +1,204 @@ +# coding=utf-8 +# Copyright 2023-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains command to download files from the Hub with the CLI. + +Usage: + huggingface-cli download --help + + # Download file + huggingface-cli download gpt2 config.json + + # Download entire repo + huggingface-cli download fffiloni/zeroscope --repo-type=space --revision=refs/pr/78 + + # Download repo with filters + huggingface-cli download gpt2 --include="*.safetensors" + + # Download with token + huggingface-cli download Wauplin/private-model --token=hf_*** + + # Download quietly (no progress bar, no warnings, only the returned path) + huggingface-cli download gpt2 config.json --quiet + + # Download to local dir + huggingface-cli download gpt2 --local-dir=./models/gpt2 +""" + +import warnings +from argparse import Namespace, _SubParsersAction +from typing import List, Optional + +from huggingface_hub import logging +from huggingface_hub._snapshot_download import snapshot_download +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.file_download import hf_hub_download +from huggingface_hub.utils import disable_progress_bars, enable_progress_bars + +from ._cli_utils import show_deprecation_warning + + +logger = logging.get_logger(__name__) + + +class DownloadCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + download_parser = parser.add_parser("download", help="Download files from the Hub") + download_parser.add_argument( + "repo_id", type=str, help="ID of the repo to download from (e.g. `username/repo-name`)." + ) + download_parser.add_argument( + "filenames", type=str, nargs="*", help="Files to download (e.g. `config.json`, `data/metadata.jsonl`)." + ) + download_parser.add_argument( + "--repo-type", + choices=["model", "dataset", "space"], + default="model", + help="Type of repo to download from (defaults to 'model').", + ) + download_parser.add_argument( + "--revision", + type=str, + help="An optional Git revision id which can be a branch name, a tag, or a commit hash.", + ) + download_parser.add_argument( + "--include", nargs="*", type=str, help="Glob patterns to match files to download." + ) + download_parser.add_argument( + "--exclude", nargs="*", type=str, help="Glob patterns to exclude from files to download." + ) + download_parser.add_argument( + "--cache-dir", type=str, help="Path to the directory where to save the downloaded files." + ) + download_parser.add_argument( + "--local-dir", + type=str, + help=( + "If set, the downloaded file will be placed under this directory. Check out" + " https://huggingface.co/docs/huggingface_hub/guides/download#download-files-to-local-folder for more" + " details." + ), + ) + download_parser.add_argument( + "--local-dir-use-symlinks", + choices=["auto", "True", "False"], + help=("Deprecated and ignored. Downloading to a local directory does not use symlinks anymore."), + ) + download_parser.add_argument( + "--force-download", + action="store_true", + help="If True, the files will be downloaded even if they are already cached.", + ) + download_parser.add_argument( + "--resume-download", + action="store_true", + help="Deprecated and ignored. Downloading a file to local dir always attempts to resume previously interrupted downloads (unless hf-transfer is enabled).", + ) + download_parser.add_argument( + "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens" + ) + download_parser.add_argument( + "--quiet", + action="store_true", + help="If True, progress bars are disabled and only the path to the download files is printed.", + ) + download_parser.add_argument( + "--max-workers", + type=int, + default=8, + help="Maximum number of workers to use for downloading files. Default is 8.", + ) + download_parser.set_defaults(func=DownloadCommand) + + def __init__(self, args: Namespace) -> None: + self.token = args.token + self.repo_id: str = args.repo_id + self.filenames: List[str] = args.filenames + self.repo_type: str = args.repo_type + self.revision: Optional[str] = args.revision + self.include: Optional[List[str]] = args.include + self.exclude: Optional[List[str]] = args.exclude + self.cache_dir: Optional[str] = args.cache_dir + self.local_dir: Optional[str] = args.local_dir + self.force_download: bool = args.force_download + self.resume_download: Optional[bool] = args.resume_download or None + self.quiet: bool = args.quiet + self.max_workers: int = args.max_workers + + if args.local_dir_use_symlinks is not None: + warnings.warn( + "Ignoring --local-dir-use-symlinks. Downloading to a local directory does not use symlinks anymore.", + FutureWarning, + ) + + def run(self) -> None: + show_deprecation_warning("huggingface-cli download", "hf download") + + if self.quiet: + disable_progress_bars() + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + print(self._download()) # Print path to downloaded files + enable_progress_bars() + else: + logging.set_verbosity_info() + print(self._download()) # Print path to downloaded files + logging.set_verbosity_warning() + + def _download(self) -> str: + # Warn user if patterns are ignored + if len(self.filenames) > 0: + if self.include is not None and len(self.include) > 0: + warnings.warn("Ignoring `--include` since filenames have being explicitly set.") + if self.exclude is not None and len(self.exclude) > 0: + warnings.warn("Ignoring `--exclude` since filenames have being explicitly set.") + + # Single file to download: use `hf_hub_download` + if len(self.filenames) == 1: + return hf_hub_download( + repo_id=self.repo_id, + repo_type=self.repo_type, + revision=self.revision, + filename=self.filenames[0], + cache_dir=self.cache_dir, + resume_download=self.resume_download, + force_download=self.force_download, + token=self.token, + local_dir=self.local_dir, + library_name="huggingface-cli", + ) + + # Otherwise: use `snapshot_download` to ensure all files comes from same revision + elif len(self.filenames) == 0: + allow_patterns = self.include + ignore_patterns = self.exclude + else: + allow_patterns = self.filenames + ignore_patterns = None + + return snapshot_download( + repo_id=self.repo_id, + repo_type=self.repo_type, + revision=self.revision, + allow_patterns=allow_patterns, + ignore_patterns=ignore_patterns, + resume_download=self.resume_download, + force_download=self.force_download, + cache_dir=self.cache_dir, + token=self.token, + local_dir=self.local_dir, + library_name="huggingface-cli", + max_workers=self.max_workers, + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/env.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/env.py new file mode 100644 index 0000000000000000000000000000000000000000..ad674738b2f137ec0b79c11ef35057a351de6d86 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/env.py @@ -0,0 +1,39 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains command to print information about the environment. + +Usage: + huggingface-cli env +""" + +from argparse import _SubParsersAction + +from ..utils import dump_environment_info +from . import BaseHuggingfaceCLICommand +from ._cli_utils import show_deprecation_warning + + +class EnvironmentCommand(BaseHuggingfaceCLICommand): + def __init__(self, args): + self.args = args + + @staticmethod + def register_subcommand(parser: _SubParsersAction): + env_parser = parser.add_parser("env", help="Print information about the environment.") + env_parser.set_defaults(func=EnvironmentCommand) + + def run(self) -> None: + show_deprecation_warning("huggingface-cli env", "hf env") + + dump_environment_info() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/huggingface_cli.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/huggingface_cli.py new file mode 100644 index 0000000000000000000000000000000000000000..697c85d1e386d9c954be0f8112cb12e1bc84e7fe --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/huggingface_cli.py @@ -0,0 +1,65 @@ +# Copyright 2020 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from argparse import ArgumentParser + +from huggingface_hub.commands._cli_utils import show_deprecation_warning +from huggingface_hub.commands.delete_cache import DeleteCacheCommand +from huggingface_hub.commands.download import DownloadCommand +from huggingface_hub.commands.env import EnvironmentCommand +from huggingface_hub.commands.lfs import LfsCommands +from huggingface_hub.commands.repo import RepoCommands +from huggingface_hub.commands.repo_files import RepoFilesCommand +from huggingface_hub.commands.scan_cache import ScanCacheCommand +from huggingface_hub.commands.tag import TagCommands +from huggingface_hub.commands.upload import UploadCommand +from huggingface_hub.commands.upload_large_folder import UploadLargeFolderCommand +from huggingface_hub.commands.user import UserCommands +from huggingface_hub.commands.version import VersionCommand + + +def main(): + parser = ArgumentParser("huggingface-cli", usage="huggingface-cli []") + commands_parser = parser.add_subparsers(help="huggingface-cli command helpers") + + # Register commands + DownloadCommand.register_subcommand(commands_parser) + UploadCommand.register_subcommand(commands_parser) + RepoFilesCommand.register_subcommand(commands_parser) + EnvironmentCommand.register_subcommand(commands_parser) + UserCommands.register_subcommand(commands_parser) + RepoCommands.register_subcommand(commands_parser) + LfsCommands.register_subcommand(commands_parser) + ScanCacheCommand.register_subcommand(commands_parser) + DeleteCacheCommand.register_subcommand(commands_parser) + TagCommands.register_subcommand(commands_parser) + VersionCommand.register_subcommand(commands_parser) + + # Experimental + UploadLargeFolderCommand.register_subcommand(commands_parser) + + # Let's go + args = parser.parse_args() + if not hasattr(args, "func"): + show_deprecation_warning("huggingface-cli", "hf") + parser.print_help() + exit(1) + + # Run + service = args.func(args) + service.run() + + +if __name__ == "__main__": + main() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/lfs.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/lfs.py new file mode 100644 index 0000000000000000000000000000000000000000..e510e345e6a4bf6da03f71b35cbfa2a4f0eb7325 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/lfs.py @@ -0,0 +1,200 @@ +""" +Implementation of a custom transfer agent for the transfer type "multipart" for +git-lfs. + +Inspired by: +github.com/cbartz/git-lfs-swift-transfer-agent/blob/master/git_lfs_swift_transfer.py + +Spec is: github.com/git-lfs/git-lfs/blob/master/docs/custom-transfers.md + + +To launch debugger while developing: + +``` [lfs "customtransfer.multipart"] +path = /path/to/huggingface_hub/.env/bin/python args = -m debugpy --listen 5678 +--wait-for-client +/path/to/huggingface_hub/src/huggingface_hub/commands/huggingface_cli.py +lfs-multipart-upload ```""" + +import json +import os +import subprocess +import sys +from argparse import _SubParsersAction +from typing import Dict, List, Optional + +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.lfs import LFS_MULTIPART_UPLOAD_COMMAND + +from ..utils import get_session, hf_raise_for_status, logging +from ..utils._lfs import SliceFileObj + + +logger = logging.get_logger(__name__) + + +class LfsCommands(BaseHuggingfaceCLICommand): + """ + Implementation of a custom transfer agent for the transfer type "multipart" + for git-lfs. This lets users upload large files >5GB 🔥. Spec for LFS custom + transfer agent is: + https://github.com/git-lfs/git-lfs/blob/master/docs/custom-transfers.md + + This introduces two commands to the CLI: + + 1. $ huggingface-cli lfs-enable-largefiles + + This should be executed once for each model repo that contains a model file + >5GB. It's documented in the error message you get if you just try to git + push a 5GB file without having enabled it before. + + 2. $ huggingface-cli lfs-multipart-upload + + This command is called by lfs directly and is not meant to be called by the + user. + """ + + @staticmethod + def register_subcommand(parser: _SubParsersAction): + enable_parser = parser.add_parser( + "lfs-enable-largefiles", help="Configure your repository to enable upload of files > 5GB." + ) + enable_parser.add_argument("path", type=str, help="Local path to repository you want to configure.") + enable_parser.set_defaults(func=lambda args: LfsEnableCommand(args)) + + # Command will get called by git-lfs, do not call it directly. + upload_parser = parser.add_parser(LFS_MULTIPART_UPLOAD_COMMAND, add_help=False) + upload_parser.set_defaults(func=lambda args: LfsUploadCommand(args)) + + +class LfsEnableCommand: + def __init__(self, args): + self.args = args + + def run(self): + local_path = os.path.abspath(self.args.path) + if not os.path.isdir(local_path): + print("This does not look like a valid git repo.") + exit(1) + subprocess.run( + "git config lfs.customtransfer.multipart.path huggingface-cli".split(), + check=True, + cwd=local_path, + ) + subprocess.run( + f"git config lfs.customtransfer.multipart.args {LFS_MULTIPART_UPLOAD_COMMAND}".split(), + check=True, + cwd=local_path, + ) + print("Local repo set up for largefiles") + + +def write_msg(msg: Dict): + """Write out the message in Line delimited JSON.""" + msg_str = json.dumps(msg) + "\n" + sys.stdout.write(msg_str) + sys.stdout.flush() + + +def read_msg() -> Optional[Dict]: + """Read Line delimited JSON from stdin.""" + msg = json.loads(sys.stdin.readline().strip()) + + if "terminate" in (msg.get("type"), msg.get("event")): + # terminate message received + return None + + if msg.get("event") not in ("download", "upload"): + logger.critical("Received unexpected message") + sys.exit(1) + + return msg + + +class LfsUploadCommand: + def __init__(self, args) -> None: + self.args = args + + def run(self) -> None: + # Immediately after invoking a custom transfer process, git-lfs + # sends initiation data to the process over stdin. + # This tells the process useful information about the configuration. + init_msg = json.loads(sys.stdin.readline().strip()) + if not (init_msg.get("event") == "init" and init_msg.get("operation") == "upload"): + write_msg({"error": {"code": 32, "message": "Wrong lfs init operation"}}) + sys.exit(1) + + # The transfer process should use the information it needs from the + # initiation structure, and also perform any one-off setup tasks it + # needs to do. It should then respond on stdout with a simple empty + # confirmation structure, as follows: + write_msg({}) + + # After the initiation exchange, git-lfs will send any number of + # transfer requests to the stdin of the transfer process, in a serial sequence. + while True: + msg = read_msg() + if msg is None: + # When all transfers have been processed, git-lfs will send + # a terminate event to the stdin of the transfer process. + # On receiving this message the transfer process should + # clean up and terminate. No response is expected. + sys.exit(0) + + oid = msg["oid"] + filepath = msg["path"] + completion_url = msg["action"]["href"] + header = msg["action"]["header"] + chunk_size = int(header.pop("chunk_size")) + presigned_urls: List[str] = list(header.values()) + + # Send a "started" progress event to allow other workers to start. + # Otherwise they're delayed until first "progress" event is reported, + # i.e. after the first 5GB by default (!) + write_msg( + { + "event": "progress", + "oid": oid, + "bytesSoFar": 1, + "bytesSinceLast": 0, + } + ) + + parts = [] + with open(filepath, "rb") as file: + for i, presigned_url in enumerate(presigned_urls): + with SliceFileObj( + file, + seek_from=i * chunk_size, + read_limit=chunk_size, + ) as data: + r = get_session().put(presigned_url, data=data) + hf_raise_for_status(r) + parts.append( + { + "etag": r.headers.get("etag"), + "partNumber": i + 1, + } + ) + # In order to support progress reporting while data is uploading / downloading, + # the transfer process should post messages to stdout + write_msg( + { + "event": "progress", + "oid": oid, + "bytesSoFar": (i + 1) * chunk_size, + "bytesSinceLast": chunk_size, + } + ) + # Not precise but that's ok. + + r = get_session().post( + completion_url, + json={ + "oid": oid, + "parts": parts, + }, + ) + hf_raise_for_status(r) + + write_msg({"event": "complete", "oid": oid}) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/repo.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/repo.py new file mode 100644 index 0000000000000000000000000000000000000000..fe75349d67bdc0314afe737daa7224b2a090f810 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/repo.py @@ -0,0 +1,151 @@ +# Copyright 2025 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains commands to interact with repositories on the Hugging Face Hub. + +Usage: + # create a new dataset repo on the Hub + huggingface-cli repo create my-cool-dataset --repo-type=dataset + + # create a private model repo on the Hub + huggingface-cli repo create my-cool-model --private +""" + +import argparse +from argparse import _SubParsersAction +from typing import Optional + +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.commands._cli_utils import ANSI +from huggingface_hub.constants import SPACES_SDK_TYPES +from huggingface_hub.hf_api import HfApi +from huggingface_hub.utils import logging + +from ._cli_utils import show_deprecation_warning + + +logger = logging.get_logger(__name__) + + +class RepoCommands(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + repo_parser = parser.add_parser("repo", help="{create} Commands to interact with your huggingface.co repos.") + repo_subparsers = repo_parser.add_subparsers(help="huggingface.co repos related commands") + repo_create_parser = repo_subparsers.add_parser("create", help="Create a new repo on huggingface.co") + repo_create_parser.add_argument( + "repo_id", + type=str, + help="The ID of the repo to create to (e.g. `username/repo-name`). The username is optional and will be set to your username if not provided.", + ) + repo_create_parser.add_argument( + "--repo-type", + type=str, + help='Optional: set to "dataset" or "space" if creating a dataset or space, default is model.', + ) + repo_create_parser.add_argument( + "--space_sdk", + type=str, + help='Optional: Hugging Face Spaces SDK type. Required when --type is set to "space".', + choices=SPACES_SDK_TYPES, + ) + repo_create_parser.add_argument( + "--private", + action="store_true", + help="Whether to create a private repository. Defaults to public unless the organization's default is private.", + ) + repo_create_parser.add_argument( + "--token", + type=str, + help="Hugging Face token. Will default to the locally saved token if not provided.", + ) + repo_create_parser.add_argument( + "--exist-ok", + action="store_true", + help="Do not raise an error if repo already exists.", + ) + repo_create_parser.add_argument( + "--resource-group-id", + type=str, + help="Resource group in which to create the repo. Resource groups is only available for Enterprise Hub organizations.", + ) + repo_create_parser.add_argument( + "--type", + type=str, + help="[Deprecated]: use --repo-type instead.", + ) + repo_create_parser.add_argument( + "-y", + "--yes", + action="store_true", + help="[Deprecated] no effect.", + ) + repo_create_parser.add_argument( + "--organization", type=str, help="[Deprecated] Pass the organization namespace directly in the repo_id." + ) + repo_create_parser.set_defaults(func=lambda args: RepoCreateCommand(args)) + + +class RepoCreateCommand: + def __init__(self, args: argparse.Namespace): + self.repo_id: str = args.repo_id + self.repo_type: Optional[str] = args.repo_type or args.type + self.space_sdk: Optional[str] = args.space_sdk + self.organization: Optional[str] = args.organization + self.yes: bool = args.yes + self.private: bool = args.private + self.token: Optional[str] = args.token + self.exist_ok: bool = args.exist_ok + self.resource_group_id: Optional[str] = args.resource_group_id + + if args.type is not None: + print( + ANSI.yellow( + "The --type argument is deprecated and will be removed in a future version. Use --repo-type instead." + ) + ) + if self.organization is not None: + print( + ANSI.yellow( + "The --organization argument is deprecated and will be removed in a future version. Pass the organization namespace directly in the repo_id." + ) + ) + if self.yes: + print( + ANSI.yellow( + "The --yes argument is deprecated and will be removed in a future version. It does not have any effect." + ) + ) + + self._api = HfApi() + + def run(self): + show_deprecation_warning("huggingface-cli repo", "hf repo") + + if self.organization is not None: + if "/" in self.repo_id: + print(ANSI.red("You cannot pass both --organization and a repo_id with a namespace.")) + exit(1) + self.repo_id = f"{self.organization}/{self.repo_id}" + + repo_url = self._api.create_repo( + repo_id=self.repo_id, + repo_type=self.repo_type, + private=self.private, + token=self.token, + exist_ok=self.exist_ok, + resource_group_id=self.resource_group_id, + space_sdk=self.space_sdk, + ) + print(f"Successfully created {ANSI.bold(repo_url.repo_id)} on the Hub.") + print(f"Your repo is now available at {ANSI.bold(repo_url)}") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/repo_files.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/repo_files.py new file mode 100644 index 0000000000000000000000000000000000000000..da9685315ea67dc9d1e9921ecb2656244cae8783 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/repo_files.py @@ -0,0 +1,132 @@ +# coding=utf-8 +# Copyright 2023-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains command to update or delete files in a repository using the CLI. + +Usage: + # delete all + huggingface-cli repo-files delete "*" + + # delete single file + huggingface-cli repo-files delete file.txt + + # delete single folder + huggingface-cli repo-files delete folder/ + + # delete multiple + huggingface-cli repo-files delete file.txt folder/ file2.txt + + # delete multiple patterns + huggingface-cli repo-files delete file.txt "*.json" "folder/*.parquet" + + # delete from different revision / repo-type + huggingface-cli repo-files delete file.txt --revision=refs/pr/1 --repo-type=dataset +""" + +from argparse import _SubParsersAction +from typing import List, Optional + +from huggingface_hub import logging +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.hf_api import HfApi + +from ._cli_utils import show_deprecation_warning + + +logger = logging.get_logger(__name__) + + +class DeleteFilesSubCommand: + def __init__(self, args) -> None: + self.args = args + self.repo_id: str = args.repo_id + self.repo_type: Optional[str] = args.repo_type + self.revision: Optional[str] = args.revision + self.api: HfApi = HfApi(token=args.token, library_name="huggingface-cli") + self.patterns: List[str] = args.patterns + self.commit_message: Optional[str] = args.commit_message + self.commit_description: Optional[str] = args.commit_description + self.create_pr: bool = args.create_pr + self.token: Optional[str] = args.token + + def run(self) -> None: + show_deprecation_warning("huggingface-cli repo-files", "hf repo-files") + + logging.set_verbosity_info() + url = self.api.delete_files( + delete_patterns=self.patterns, + repo_id=self.repo_id, + repo_type=self.repo_type, + revision=self.revision, + commit_message=self.commit_message, + commit_description=self.commit_description, + create_pr=self.create_pr, + ) + print(f"Files correctly deleted from repo. Commit: {url}.") + logging.set_verbosity_warning() + + +class RepoFilesCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + repo_files_parser = parser.add_parser("repo-files", help="Manage files in a repo on the Hub") + repo_files_parser.add_argument( + "repo_id", type=str, help="The ID of the repo to manage (e.g. `username/repo-name`)." + ) + repo_files_subparsers = repo_files_parser.add_subparsers( + help="Action to execute against the files.", + required=True, + ) + delete_subparser = repo_files_subparsers.add_parser( + "delete", + help="Delete files from a repo on the Hub", + ) + delete_subparser.set_defaults(func=lambda args: DeleteFilesSubCommand(args)) + delete_subparser.add_argument( + "patterns", + nargs="+", + type=str, + help="Glob patterns to match files to delete.", + ) + delete_subparser.add_argument( + "--repo-type", + choices=["model", "dataset", "space"], + default="model", + help="Type of the repo to upload to (e.g. `dataset`).", + ) + delete_subparser.add_argument( + "--revision", + type=str, + help=( + "An optional Git revision to push to. It can be a branch name " + "or a PR reference. If revision does not" + " exist and `--create-pr` is not set, a branch will be automatically created." + ), + ) + delete_subparser.add_argument( + "--commit-message", type=str, help="The summary / title / first line of the generated commit." + ) + delete_subparser.add_argument( + "--commit-description", type=str, help="The description of the generated commit." + ) + delete_subparser.add_argument( + "--create-pr", action="store_true", help="Whether to create a new Pull Request for these changes." + ) + repo_files_parser.add_argument( + "--token", + type=str, + help="A User Access Token generated from https://huggingface.co/settings/tokens", + ) + + repo_files_parser.set_defaults(func=RepoFilesCommand) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/scan_cache.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/scan_cache.py new file mode 100644 index 0000000000000000000000000000000000000000..45662fb973597493b0ee6121ac86636d2ffaa6c7 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/scan_cache.py @@ -0,0 +1,183 @@ +# coding=utf-8 +# Copyright 2022-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains command to scan the HF cache directory. + +Usage: + huggingface-cli scan-cache + huggingface-cli scan-cache -v + huggingface-cli scan-cache -vvv + huggingface-cli scan-cache --dir ~/.cache/huggingface/hub +""" + +import time +from argparse import Namespace, _SubParsersAction +from typing import Optional + +from ..utils import CacheNotFound, HFCacheInfo, scan_cache_dir +from . import BaseHuggingfaceCLICommand +from ._cli_utils import ANSI, show_deprecation_warning, tabulate + + +class ScanCacheCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + scan_cache_parser = parser.add_parser("scan-cache", help="Scan cache directory.") + + scan_cache_parser.add_argument( + "--dir", + type=str, + default=None, + help="cache directory to scan (optional). Default to the default HuggingFace cache.", + ) + scan_cache_parser.add_argument( + "-v", + "--verbose", + action="count", + default=0, + help="show a more verbose output", + ) + scan_cache_parser.set_defaults(func=ScanCacheCommand) + + def __init__(self, args: Namespace) -> None: + self.verbosity: int = args.verbose + self.cache_dir: Optional[str] = args.dir + + def run(self): + show_deprecation_warning("huggingface-cli scan-cache", "hf cache scan") + + try: + t0 = time.time() + hf_cache_info = scan_cache_dir(self.cache_dir) + t1 = time.time() + except CacheNotFound as exc: + cache_dir = exc.cache_dir + print(f"Cache directory not found: {cache_dir}") + return + + self._print_hf_cache_info_as_table(hf_cache_info) + + print( + f"\nDone in {round(t1 - t0, 1)}s. Scanned {len(hf_cache_info.repos)} repo(s)" + f" for a total of {ANSI.red(hf_cache_info.size_on_disk_str)}." + ) + if len(hf_cache_info.warnings) > 0: + message = f"Got {len(hf_cache_info.warnings)} warning(s) while scanning." + if self.verbosity >= 3: + print(ANSI.gray(message)) + for warning in hf_cache_info.warnings: + print(ANSI.gray(warning)) + else: + print(ANSI.gray(message + " Use -vvv to print details.")) + + def _print_hf_cache_info_as_table(self, hf_cache_info: HFCacheInfo) -> None: + print(get_table(hf_cache_info, verbosity=self.verbosity)) + + +def get_table(hf_cache_info: HFCacheInfo, *, verbosity: int = 0) -> str: + """Generate a table from the [`HFCacheInfo`] object. + + Pass `verbosity=0` to get a table with a single row per repo, with columns + "repo_id", "repo_type", "size_on_disk", "nb_files", "last_accessed", "last_modified", "refs", "local_path". + + Pass `verbosity=1` to get a table with a row per repo and revision (thus multiple rows can appear for a single repo), with columns + "repo_id", "repo_type", "revision", "size_on_disk", "nb_files", "last_modified", "refs", "local_path". + + Example: + ```py + >>> from huggingface_hub.utils import scan_cache_dir + >>> from huggingface_hub.commands.scan_cache import get_table + + >>> hf_cache_info = scan_cache_dir() + HFCacheInfo(...) + + >>> print(get_table(hf_cache_info, verbosity=0)) + REPO ID REPO TYPE SIZE ON DISK NB FILES LAST_ACCESSED LAST_MODIFIED REFS LOCAL PATH + --------------------------------------------------- --------- ------------ -------- ------------- ------------- ---- -------------------------------------------------------------------------------------------------- + roberta-base model 2.7M 5 1 day ago 1 week ago main C:\\Users\\admin\\.cache\\huggingface\\hub\\models--roberta-base + suno/bark model 8.8K 1 1 week ago 1 week ago main C:\\Users\\admin\\.cache\\huggingface\\hub\\models--suno--bark + t5-base model 893.8M 4 4 days ago 7 months ago main C:\\Users\\admin\\.cache\\huggingface\\hub\\models--t5-base + t5-large model 3.0G 4 5 weeks ago 5 months ago main C:\\Users\\admin\\.cache\\huggingface\\hub\\models--t5-large + + >>> print(get_table(hf_cache_info, verbosity=1)) + REPO ID REPO TYPE REVISION SIZE ON DISK NB FILES LAST_MODIFIED REFS LOCAL PATH + --------------------------------------------------- --------- ---------------------------------------- ------------ -------- ------------- ---- ----------------------------------------------------------------------------------------------------------------------------------------------------- + roberta-base model e2da8e2f811d1448a5b465c236feacd80ffbac7b 2.7M 5 1 week ago main C:\\Users\\admin\\.cache\\huggingface\\hub\\models--roberta-base\\snapshots\\e2da8e2f811d1448a5b465c236feacd80ffbac7b + suno/bark model 70a8a7d34168586dc5d028fa9666aceade177992 8.8K 1 1 week ago main C:\\Users\\admin\\.cache\\huggingface\\hub\\models--suno--bark\\snapshots\\70a8a7d34168586dc5d028fa9666aceade177992 + t5-base model a9723ea7f1b39c1eae772870f3b547bf6ef7e6c1 893.8M 4 7 months ago main C:\\Users\\admin\\.cache\\huggingface\\hub\\models--t5-base\\snapshots\\a9723ea7f1b39c1eae772870f3b547bf6ef7e6c1 + t5-large model 150ebc2c4b72291e770f58e6057481c8d2ed331a 3.0G 4 5 months ago main C:\\Users\\admin\\.cache\\huggingface\\hub\\models--t5-large\\snapshots\\150ebc2c4b72291e770f58e6057481c8d2ed331a ``` + ``` + + Args: + hf_cache_info ([`HFCacheInfo`]): + The HFCacheInfo object to print. + verbosity (`int`, *optional*): + The verbosity level. Defaults to 0. + + Returns: + `str`: The table as a string. + """ + if verbosity == 0: + return tabulate( + rows=[ + [ + repo.repo_id, + repo.repo_type, + "{:>12}".format(repo.size_on_disk_str), + repo.nb_files, + repo.last_accessed_str, + repo.last_modified_str, + ", ".join(sorted(repo.refs)), + str(repo.repo_path), + ] + for repo in sorted(hf_cache_info.repos, key=lambda repo: repo.repo_path) + ], + headers=[ + "REPO ID", + "REPO TYPE", + "SIZE ON DISK", + "NB FILES", + "LAST_ACCESSED", + "LAST_MODIFIED", + "REFS", + "LOCAL PATH", + ], + ) + else: + return tabulate( + rows=[ + [ + repo.repo_id, + repo.repo_type, + revision.commit_hash, + "{:>12}".format(revision.size_on_disk_str), + revision.nb_files, + revision.last_modified_str, + ", ".join(sorted(revision.refs)), + str(revision.snapshot_path), + ] + for repo in sorted(hf_cache_info.repos, key=lambda repo: repo.repo_path) + for revision in sorted(repo.revisions, key=lambda revision: revision.commit_hash) + ], + headers=[ + "REPO ID", + "REPO TYPE", + "REVISION", + "SIZE ON DISK", + "NB FILES", + "LAST_MODIFIED", + "REFS", + "LOCAL PATH", + ], + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/tag.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/tag.py new file mode 100644 index 0000000000000000000000000000000000000000..405d407f8135d940cf078f905a6e66acd4b1dacc --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/tag.py @@ -0,0 +1,161 @@ +# coding=utf-8 +# Copyright 2024-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Contains commands to perform tag management with the CLI. + +Usage Examples: + - Create a tag: + $ huggingface-cli tag user/my-model 1.0 --message "First release" + $ huggingface-cli tag user/my-model 1.0 -m "First release" --revision develop + $ huggingface-cli tag user/my-dataset 1.0 -m "First release" --repo-type dataset + $ huggingface-cli tag user/my-space 1.0 + - List all tags: + $ huggingface-cli tag -l user/my-model + $ huggingface-cli tag --list user/my-dataset --repo-type dataset + - Delete a tag: + $ huggingface-cli tag -d user/my-model 1.0 + $ huggingface-cli tag --delete user/my-dataset 1.0 --repo-type dataset + $ huggingface-cli tag -d user/my-space 1.0 -y +""" + +from argparse import Namespace, _SubParsersAction + +from requests.exceptions import HTTPError + +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.constants import ( + REPO_TYPES, +) +from huggingface_hub.hf_api import HfApi + +from ..errors import HfHubHTTPError, RepositoryNotFoundError, RevisionNotFoundError +from ._cli_utils import ANSI, show_deprecation_warning + + +class TagCommands(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + tag_parser = parser.add_parser("tag", help="(create, list, delete) tags for a repo in the hub") + + tag_parser.add_argument("repo_id", type=str, help="The ID of the repo to tag (e.g. `username/repo-name`).") + tag_parser.add_argument("tag", nargs="?", type=str, help="The name of the tag for creation or deletion.") + tag_parser.add_argument("-m", "--message", type=str, help="The description of the tag to create.") + tag_parser.add_argument("--revision", type=str, help="The git revision to tag.") + tag_parser.add_argument( + "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens." + ) + tag_parser.add_argument( + "--repo-type", + choices=["model", "dataset", "space"], + default="model", + help="Set the type of repository (model, dataset, or space).", + ) + tag_parser.add_argument("-y", "--yes", action="store_true", help="Answer Yes to prompts automatically.") + + tag_parser.add_argument("-l", "--list", action="store_true", help="List tags for a repository.") + tag_parser.add_argument("-d", "--delete", action="store_true", help="Delete a tag for a repository.") + + tag_parser.set_defaults(func=lambda args: handle_commands(args)) + + +def handle_commands(args: Namespace): + show_deprecation_warning("huggingface-cli tag", "hf repo tag") + + if args.list: + return TagListCommand(args) + elif args.delete: + return TagDeleteCommand(args) + else: + return TagCreateCommand(args) + + +class TagCommand: + def __init__(self, args: Namespace): + self.args = args + self.api = HfApi(token=self.args.token) + self.repo_id = self.args.repo_id + self.repo_type = self.args.repo_type + if self.repo_type not in REPO_TYPES: + print("Invalid repo --repo-type") + exit(1) + + +class TagCreateCommand(TagCommand): + def run(self): + print(f"You are about to create tag {ANSI.bold(self.args.tag)} on {self.repo_type} {ANSI.bold(self.repo_id)}") + + try: + self.api.create_tag( + repo_id=self.repo_id, + tag=self.args.tag, + tag_message=self.args.message, + revision=self.args.revision, + repo_type=self.repo_type, + ) + except RepositoryNotFoundError: + print(f"{self.repo_type.capitalize()} {ANSI.bold(self.repo_id)} not found.") + exit(1) + except RevisionNotFoundError: + print(f"Revision {ANSI.bold(self.args.revision)} not found.") + exit(1) + except HfHubHTTPError as e: + if e.response.status_code == 409: + print(f"Tag {ANSI.bold(self.args.tag)} already exists on {ANSI.bold(self.repo_id)}") + exit(1) + raise e + + print(f"Tag {ANSI.bold(self.args.tag)} created on {ANSI.bold(self.repo_id)}") + + +class TagListCommand(TagCommand): + def run(self): + try: + refs = self.api.list_repo_refs( + repo_id=self.repo_id, + repo_type=self.repo_type, + ) + except RepositoryNotFoundError: + print(f"{self.repo_type.capitalize()} {ANSI.bold(self.repo_id)} not found.") + exit(1) + except HTTPError as e: + print(e) + print(ANSI.red(e.response.text)) + exit(1) + if len(refs.tags) == 0: + print("No tags found") + exit(0) + print(f"Tags for {self.repo_type} {ANSI.bold(self.repo_id)}:") + for tag in refs.tags: + print(tag.name) + + +class TagDeleteCommand(TagCommand): + def run(self): + print(f"You are about to delete tag {ANSI.bold(self.args.tag)} on {self.repo_type} {ANSI.bold(self.repo_id)}") + + if not self.args.yes: + choice = input("Proceed? [Y/n] ").lower() + if choice not in ("", "y", "yes"): + print("Abort") + exit() + try: + self.api.delete_tag(repo_id=self.repo_id, tag=self.args.tag, repo_type=self.repo_type) + except RepositoryNotFoundError: + print(f"{self.repo_type.capitalize()} {ANSI.bold(self.repo_id)} not found.") + exit(1) + except RevisionNotFoundError: + print(f"Tag {ANSI.bold(self.args.tag)} not found on {ANSI.bold(self.repo_id)}") + exit(1) + print(f"Tag {ANSI.bold(self.args.tag)} deleted on {ANSI.bold(self.repo_id)}") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/upload.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/upload.py new file mode 100644 index 0000000000000000000000000000000000000000..c778555cda56eb17c905f0728fef6712acc75cb8 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/upload.py @@ -0,0 +1,318 @@ +# coding=utf-8 +# Copyright 2023-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains command to upload a repo or file with the CLI. + +Usage: + # Upload file (implicit) + huggingface-cli upload my-cool-model ./my-cool-model.safetensors + + # Upload file (explicit) + huggingface-cli upload my-cool-model ./my-cool-model.safetensors model.safetensors + + # Upload directory (implicit). If `my-cool-model/` is a directory it will be uploaded, otherwise an exception is raised. + huggingface-cli upload my-cool-model + + # Upload directory (explicit) + huggingface-cli upload my-cool-model ./models/my-cool-model . + + # Upload filtered directory (example: tensorboard logs except for the last run) + huggingface-cli upload my-cool-model ./model/training /logs --include "*.tfevents.*" --exclude "*20230905*" + + # Upload with wildcard + huggingface-cli upload my-cool-model "./model/training/*.safetensors" + + # Upload private dataset + huggingface-cli upload Wauplin/my-cool-dataset ./data . --repo-type=dataset --private + + # Upload with token + huggingface-cli upload Wauplin/my-cool-model --token=hf_**** + + # Sync local Space with Hub (upload new files, delete removed files) + huggingface-cli upload Wauplin/space-example --repo-type=space --exclude="/logs/*" --delete="*" --commit-message="Sync local Space with Hub" + + # Schedule commits every 30 minutes + huggingface-cli upload Wauplin/my-cool-model --every=30 +""" + +import os +import time +import warnings +from argparse import Namespace, _SubParsersAction +from typing import List, Optional + +from huggingface_hub import logging +from huggingface_hub._commit_scheduler import CommitScheduler +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.constants import HF_HUB_ENABLE_HF_TRANSFER +from huggingface_hub.errors import RevisionNotFoundError +from huggingface_hub.hf_api import HfApi +from huggingface_hub.utils import disable_progress_bars, enable_progress_bars +from huggingface_hub.utils._runtime import is_xet_available + +from ._cli_utils import show_deprecation_warning + + +logger = logging.get_logger(__name__) + + +class UploadCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + upload_parser = parser.add_parser("upload", help="Upload a file or a folder to a repo on the Hub") + upload_parser.add_argument( + "repo_id", type=str, help="The ID of the repo to upload to (e.g. `username/repo-name`)." + ) + upload_parser.add_argument( + "local_path", + nargs="?", + help="Local path to the file or folder to upload. Wildcard patterns are supported. Defaults to current directory.", + ) + upload_parser.add_argument( + "path_in_repo", + nargs="?", + help="Path of the file or folder in the repo. Defaults to the relative path of the file or folder.", + ) + upload_parser.add_argument( + "--repo-type", + choices=["model", "dataset", "space"], + default="model", + help="Type of the repo to upload to (e.g. `dataset`).", + ) + upload_parser.add_argument( + "--revision", + type=str, + help=( + "An optional Git revision to push to. It can be a branch name or a PR reference. If revision does not" + " exist and `--create-pr` is not set, a branch will be automatically created." + ), + ) + upload_parser.add_argument( + "--private", + action="store_true", + help=( + "Whether to create a private repo if repo doesn't exist on the Hub. Ignored if the repo already" + " exists." + ), + ) + upload_parser.add_argument("--include", nargs="*", type=str, help="Glob patterns to match files to upload.") + upload_parser.add_argument( + "--exclude", nargs="*", type=str, help="Glob patterns to exclude from files to upload." + ) + upload_parser.add_argument( + "--delete", + nargs="*", + type=str, + help="Glob patterns for file to be deleted from the repo while committing.", + ) + upload_parser.add_argument( + "--commit-message", type=str, help="The summary / title / first line of the generated commit." + ) + upload_parser.add_argument("--commit-description", type=str, help="The description of the generated commit.") + upload_parser.add_argument( + "--create-pr", action="store_true", help="Whether to upload content as a new Pull Request." + ) + upload_parser.add_argument( + "--every", + type=float, + help="If set, a background job is scheduled to create commits every `every` minutes.", + ) + upload_parser.add_argument( + "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens" + ) + upload_parser.add_argument( + "--quiet", + action="store_true", + help="If True, progress bars are disabled and only the path to the uploaded files is printed.", + ) + upload_parser.set_defaults(func=UploadCommand) + + def __init__(self, args: Namespace) -> None: + self.repo_id: str = args.repo_id + self.repo_type: Optional[str] = args.repo_type + self.revision: Optional[str] = args.revision + self.private: bool = args.private + + self.include: Optional[List[str]] = args.include + self.exclude: Optional[List[str]] = args.exclude + self.delete: Optional[List[str]] = args.delete + + self.commit_message: Optional[str] = args.commit_message + self.commit_description: Optional[str] = args.commit_description + self.create_pr: bool = args.create_pr + self.api: HfApi = HfApi(token=args.token, library_name="huggingface-cli") + self.quiet: bool = args.quiet # disable warnings and progress bars + + # Check `--every` is valid + if args.every is not None and args.every <= 0: + raise ValueError(f"`every` must be a positive value (got '{args.every}')") + self.every: Optional[float] = args.every + + # Resolve `local_path` and `path_in_repo` + repo_name: str = args.repo_id.split("/")[-1] # e.g. "Wauplin/my-cool-model" => "my-cool-model" + self.local_path: str + self.path_in_repo: str + + if args.local_path is not None and any(c in args.local_path for c in ["*", "?", "["]): + if args.include is not None: + raise ValueError("Cannot set `--include` when passing a `local_path` containing a wildcard.") + if args.path_in_repo is not None and args.path_in_repo != ".": + raise ValueError("Cannot set `path_in_repo` when passing a `local_path` containing a wildcard.") + self.local_path = "." + self.include = args.local_path + self.path_in_repo = "." + elif args.local_path is None and os.path.isfile(repo_name): + # Implicit case 1: user provided only a repo_id which happen to be a local file as well => upload it with same name + self.local_path = repo_name + self.path_in_repo = repo_name + elif args.local_path is None and os.path.isdir(repo_name): + # Implicit case 2: user provided only a repo_id which happen to be a local folder as well => upload it at root + self.local_path = repo_name + self.path_in_repo = "." + elif args.local_path is None: + # Implicit case 3: user provided only a repo_id that does not match a local file or folder + # => the user must explicitly provide a local_path => raise exception + raise ValueError(f"'{repo_name}' is not a local file or folder. Please set `local_path` explicitly.") + elif args.path_in_repo is None and os.path.isfile(args.local_path): + # Explicit local path to file, no path in repo => upload it at root with same name + self.local_path = args.local_path + self.path_in_repo = os.path.basename(args.local_path) + elif args.path_in_repo is None: + # Explicit local path to folder, no path in repo => upload at root + self.local_path = args.local_path + self.path_in_repo = "." + else: + # Finally, if both paths are explicit + self.local_path = args.local_path + self.path_in_repo = args.path_in_repo + + def run(self) -> None: + show_deprecation_warning("huggingface-cli upload", "hf upload") + + if self.quiet: + disable_progress_bars() + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + print(self._upload()) + enable_progress_bars() + else: + logging.set_verbosity_info() + print(self._upload()) + logging.set_verbosity_warning() + + def _upload(self) -> str: + if os.path.isfile(self.local_path): + if self.include is not None and len(self.include) > 0: + warnings.warn("Ignoring `--include` since a single file is uploaded.") + if self.exclude is not None and len(self.exclude) > 0: + warnings.warn("Ignoring `--exclude` since a single file is uploaded.") + if self.delete is not None and len(self.delete) > 0: + warnings.warn("Ignoring `--delete` since a single file is uploaded.") + + if not is_xet_available() and not HF_HUB_ENABLE_HF_TRANSFER: + logger.info( + "Consider using `hf_transfer` for faster uploads. This solution comes with some limitations. See" + " https://huggingface.co/docs/huggingface_hub/hf_transfer for more details." + ) + + # Schedule commits if `every` is set + if self.every is not None: + if os.path.isfile(self.local_path): + # If file => watch entire folder + use allow_patterns + folder_path = os.path.dirname(self.local_path) + path_in_repo = ( + self.path_in_repo[: -len(self.local_path)] # remove filename from path_in_repo + if self.path_in_repo.endswith(self.local_path) + else self.path_in_repo + ) + allow_patterns = [self.local_path] + ignore_patterns = [] + else: + folder_path = self.local_path + path_in_repo = self.path_in_repo + allow_patterns = self.include or [] + ignore_patterns = self.exclude or [] + if self.delete is not None and len(self.delete) > 0: + warnings.warn("Ignoring `--delete` when uploading with scheduled commits.") + + scheduler = CommitScheduler( + folder_path=folder_path, + repo_id=self.repo_id, + repo_type=self.repo_type, + revision=self.revision, + allow_patterns=allow_patterns, + ignore_patterns=ignore_patterns, + path_in_repo=path_in_repo, + private=self.private, + every=self.every, + hf_api=self.api, + ) + print(f"Scheduling commits every {self.every} minutes to {scheduler.repo_id}.") + try: # Block main thread until KeyboardInterrupt + while True: + time.sleep(100) + except KeyboardInterrupt: + scheduler.stop() + return "Stopped scheduled commits." + + # Otherwise, create repo and proceed with the upload + if not os.path.isfile(self.local_path) and not os.path.isdir(self.local_path): + raise FileNotFoundError(f"No such file or directory: '{self.local_path}'.") + repo_id = self.api.create_repo( + repo_id=self.repo_id, + repo_type=self.repo_type, + exist_ok=True, + private=self.private, + space_sdk="gradio" if self.repo_type == "space" else None, + # ^ We don't want it to fail when uploading to a Space => let's set Gradio by default. + # ^ I'd rather not add CLI args to set it explicitly as we already have `huggingface-cli repo create` for that. + ).repo_id + + # Check if branch already exists and if not, create it + if self.revision is not None and not self.create_pr: + try: + self.api.repo_info(repo_id=repo_id, repo_type=self.repo_type, revision=self.revision) + except RevisionNotFoundError: + logger.info(f"Branch '{self.revision}' not found. Creating it...") + self.api.create_branch(repo_id=repo_id, repo_type=self.repo_type, branch=self.revision, exist_ok=True) + # ^ `exist_ok=True` to avoid race concurrency issues + + # File-based upload + if os.path.isfile(self.local_path): + return self.api.upload_file( + path_or_fileobj=self.local_path, + path_in_repo=self.path_in_repo, + repo_id=repo_id, + repo_type=self.repo_type, + revision=self.revision, + commit_message=self.commit_message, + commit_description=self.commit_description, + create_pr=self.create_pr, + ) + + # Folder-based upload + else: + return self.api.upload_folder( + folder_path=self.local_path, + path_in_repo=self.path_in_repo, + repo_id=repo_id, + repo_type=self.repo_type, + revision=self.revision, + commit_message=self.commit_message, + commit_description=self.commit_description, + create_pr=self.create_pr, + allow_patterns=self.include, + ignore_patterns=self.exclude, + delete_patterns=self.delete, + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/upload_large_folder.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/upload_large_folder.py new file mode 100644 index 0000000000000000000000000000000000000000..3105ba3f57f5644aa18e627aa5d1d18e61515ae7 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/upload_large_folder.py @@ -0,0 +1,131 @@ +# coding=utf-8 +# Copyright 2023-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains command to upload a large folder with the CLI.""" + +import os +from argparse import Namespace, _SubParsersAction +from typing import List, Optional + +from huggingface_hub import logging +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.hf_api import HfApi +from huggingface_hub.utils import disable_progress_bars + +from ._cli_utils import ANSI, show_deprecation_warning + + +logger = logging.get_logger(__name__) + + +class UploadLargeFolderCommand(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + subparser = parser.add_parser("upload-large-folder", help="Upload a large folder to a repo on the Hub") + subparser.add_argument( + "repo_id", type=str, help="The ID of the repo to upload to (e.g. `username/repo-name`)." + ) + subparser.add_argument("local_path", type=str, help="Local path to the file or folder to upload.") + subparser.add_argument( + "--repo-type", + choices=["model", "dataset", "space"], + help="Type of the repo to upload to (e.g. `dataset`).", + ) + subparser.add_argument( + "--revision", + type=str, + help=("An optional Git revision to push to. It can be a branch name or a PR reference."), + ) + subparser.add_argument( + "--private", + action="store_true", + help=( + "Whether to create a private repo if repo doesn't exist on the Hub. Ignored if the repo already exists." + ), + ) + subparser.add_argument("--include", nargs="*", type=str, help="Glob patterns to match files to upload.") + subparser.add_argument("--exclude", nargs="*", type=str, help="Glob patterns to exclude from files to upload.") + subparser.add_argument( + "--token", type=str, help="A User Access Token generated from https://huggingface.co/settings/tokens" + ) + subparser.add_argument( + "--num-workers", type=int, help="Number of workers to use to hash, upload and commit files." + ) + subparser.add_argument("--no-report", action="store_true", help="Whether to disable regular status report.") + subparser.add_argument("--no-bars", action="store_true", help="Whether to disable progress bars.") + subparser.set_defaults(func=UploadLargeFolderCommand) + + def __init__(self, args: Namespace) -> None: + self.repo_id: str = args.repo_id + self.local_path: str = args.local_path + self.repo_type: str = args.repo_type + self.revision: Optional[str] = args.revision + self.private: bool = args.private + + self.include: Optional[List[str]] = args.include + self.exclude: Optional[List[str]] = args.exclude + + self.api: HfApi = HfApi(token=args.token, library_name="huggingface-cli") + + self.num_workers: Optional[int] = args.num_workers + self.no_report: bool = args.no_report + self.no_bars: bool = args.no_bars + + if not os.path.isdir(self.local_path): + raise ValueError("Large upload is only supported for folders.") + + def run(self) -> None: + show_deprecation_warning("huggingface-cli upload-large-folder", "hf upload-large-folder") + + logging.set_verbosity_info() + + print( + ANSI.yellow( + "You are about to upload a large folder to the Hub using `huggingface-cli upload-large-folder`. " + "This is a new feature so feedback is very welcome!\n" + "\n" + "A few things to keep in mind:\n" + " - Repository limits still apply: https://huggingface.co/docs/hub/repositories-recommendations\n" + " - Do not start several processes in parallel.\n" + " - You can interrupt and resume the process at any time. " + "The script will pick up where it left off except for partially uploaded files that would have to be entirely reuploaded.\n" + " - Do not upload the same folder to several repositories. If you need to do so, you must delete the `./.cache/huggingface/` folder first.\n" + "\n" + f"Some temporary metadata will be stored under `{self.local_path}/.cache/huggingface`.\n" + " - You must not modify those files manually.\n" + " - You must not delete the `./.cache/huggingface/` folder while a process is running.\n" + " - You can delete the `./.cache/huggingface/` folder to reinitialize the upload state when process is not running. Files will have to be hashed and preuploaded again, except for already committed files.\n" + "\n" + "If the process output is too verbose, you can disable the progress bars with `--no-bars`. " + "You can also entirely disable the status report with `--no-report`.\n" + "\n" + "For more details, run `huggingface-cli upload-large-folder --help` or check the documentation at " + "https://huggingface.co/docs/huggingface_hub/guides/upload#upload-a-large-folder." + ) + ) + + if self.no_bars: + disable_progress_bars() + + self.api.upload_large_folder( + repo_id=self.repo_id, + folder_path=self.local_path, + repo_type=self.repo_type, + revision=self.revision, + private=self.private, + allow_patterns=self.include, + ignore_patterns=self.exclude, + num_workers=self.num_workers, + print_report=not self.no_report, + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/user.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/user.py new file mode 100644 index 0000000000000000000000000000000000000000..e46fd3e51277fd05258b71569cb3f52a78c791bb --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/user.py @@ -0,0 +1,208 @@ +# Copyright 2020 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains commands to authenticate to the Hugging Face Hub and interact with your repositories. + +Usage: + # login and save token locally. + huggingface-cli login --token=hf_*** --add-to-git-credential + + # switch between tokens + huggingface-cli auth switch + + # list all tokens + huggingface-cli auth list + + # logout from a specific token, if no token-name is provided, all tokens will be deleted from your machine. + huggingface-cli logout --token-name=your_token_name + + # find out which huggingface.co account you are logged in as + huggingface-cli whoami +""" + +from argparse import _SubParsersAction +from typing import List, Optional + +from requests.exceptions import HTTPError + +from huggingface_hub.commands import BaseHuggingfaceCLICommand +from huggingface_hub.constants import ENDPOINT +from huggingface_hub.hf_api import HfApi + +from .._login import auth_list, auth_switch, login, logout +from ..utils import get_stored_tokens, get_token, logging +from ._cli_utils import ANSI, show_deprecation_warning + + +logger = logging.get_logger(__name__) + +try: + from InquirerPy import inquirer + from InquirerPy.base.control import Choice + + _inquirer_py_available = True +except ImportError: + _inquirer_py_available = False + + +class UserCommands(BaseHuggingfaceCLICommand): + @staticmethod + def register_subcommand(parser: _SubParsersAction): + login_parser = parser.add_parser("login", help="Log in using a token from huggingface.co/settings/tokens") + login_parser.add_argument( + "--token", + type=str, + help="Token generated from https://huggingface.co/settings/tokens", + ) + login_parser.add_argument( + "--add-to-git-credential", + action="store_true", + help="Optional: Save token to git credential helper.", + ) + login_parser.set_defaults(func=lambda args: LoginCommand(args)) + whoami_parser = parser.add_parser("whoami", help="Find out which huggingface.co account you are logged in as.") + whoami_parser.set_defaults(func=lambda args: WhoamiCommand(args)) + + logout_parser = parser.add_parser("logout", help="Log out") + logout_parser.add_argument( + "--token-name", + type=str, + help="Optional: Name of the access token to log out from.", + ) + logout_parser.set_defaults(func=lambda args: LogoutCommand(args)) + + auth_parser = parser.add_parser("auth", help="Other authentication related commands") + auth_subparsers = auth_parser.add_subparsers(help="Authentication subcommands") + auth_switch_parser = auth_subparsers.add_parser("switch", help="Switch between access tokens") + auth_switch_parser.add_argument( + "--token-name", + type=str, + help="Optional: Name of the access token to switch to.", + ) + auth_switch_parser.add_argument( + "--add-to-git-credential", + action="store_true", + help="Optional: Save token to git credential helper.", + ) + auth_switch_parser.set_defaults(func=lambda args: AuthSwitchCommand(args)) + auth_list_parser = auth_subparsers.add_parser("list", help="List all stored access tokens") + auth_list_parser.set_defaults(func=lambda args: AuthListCommand(args)) + + +class BaseUserCommand: + def __init__(self, args): + self.args = args + self._api = HfApi() + + +class LoginCommand(BaseUserCommand): + def run(self): + show_deprecation_warning("huggingface-cli login", "hf auth login") + + logging.set_verbosity_info() + login( + token=self.args.token, + add_to_git_credential=self.args.add_to_git_credential, + ) + + +class LogoutCommand(BaseUserCommand): + def run(self): + show_deprecation_warning("huggingface-cli logout", "hf auth logout") + + logging.set_verbosity_info() + logout(token_name=self.args.token_name) + + +class AuthSwitchCommand(BaseUserCommand): + def run(self): + show_deprecation_warning("huggingface-cli auth switch", "hf auth switch") + + logging.set_verbosity_info() + token_name = self.args.token_name + if token_name is None: + token_name = self._select_token_name() + + if token_name is None: + print("No token name provided. Aborting.") + exit() + auth_switch(token_name, add_to_git_credential=self.args.add_to_git_credential) + + def _select_token_name(self) -> Optional[str]: + token_names = list(get_stored_tokens().keys()) + + if not token_names: + logger.error("No stored tokens found. Please login first.") + return None + + if _inquirer_py_available: + return self._select_token_name_tui(token_names) + # if inquirer is not available, use a simpler terminal UI + print("Available stored tokens:") + for i, token_name in enumerate(token_names, 1): + print(f"{i}. {token_name}") + while True: + try: + choice = input("Enter the number of the token to switch to (or 'q' to quit): ") + if choice.lower() == "q": + return None + index = int(choice) - 1 + if 0 <= index < len(token_names): + return token_names[index] + else: + print("Invalid selection. Please try again.") + except ValueError: + print("Invalid input. Please enter a number or 'q' to quit.") + + def _select_token_name_tui(self, token_names: List[str]) -> Optional[str]: + choices = [Choice(token_name, name=token_name) for token_name in token_names] + try: + return inquirer.select( + message="Select a token to switch to:", + choices=choices, + default=None, + ).execute() + except KeyboardInterrupt: + logger.info("Token selection cancelled.") + return None + + +class AuthListCommand(BaseUserCommand): + def run(self): + show_deprecation_warning("huggingface-cli auth list", "hf auth list") + + logging.set_verbosity_info() + auth_list() + + +class WhoamiCommand(BaseUserCommand): + def run(self): + show_deprecation_warning("huggingface-cli whoami", "hf auth whoami") + + token = get_token() + if token is None: + print("Not logged in") + exit() + try: + info = self._api.whoami(token) + print(ANSI.bold("user: "), info["name"]) + orgs = [org["name"] for org in info["orgs"]] + if orgs: + print(ANSI.bold("orgs: "), ",".join(orgs)) + + if ENDPOINT != "https://huggingface.co": + print(f"Authenticated through private endpoint: {ENDPOINT}") + except HTTPError as e: + print(e) + print(ANSI.red(e.response.text)) + exit(1) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/version.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/version.py new file mode 100644 index 0000000000000000000000000000000000000000..10d341bcdb93e0616fcf80370ac8dde63b15ce9c --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/commands/version.py @@ -0,0 +1,40 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains command to print information about the version. + +Usage: + huggingface-cli version +""" + +from argparse import _SubParsersAction + +from huggingface_hub import __version__ + +from . import BaseHuggingfaceCLICommand +from ._cli_utils import show_deprecation_warning + + +class VersionCommand(BaseHuggingfaceCLICommand): + def __init__(self, args): + self.args = args + + @staticmethod + def register_subcommand(parser: _SubParsersAction): + version_parser = parser.add_parser("version", help="Print information about the huggingface-cli version.") + version_parser.set_defaults(func=VersionCommand) + + def run(self) -> None: + show_deprecation_warning("huggingface-cli version", "hf version") + + print(f"huggingface_hub version: {__version__}") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..8ec526fae9b956e93ee29263a2b89cccf77bc35e Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/__pycache__/_common.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/__pycache__/_common.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..086d3532f662180e68ba406a52df288a9246728d Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/__pycache__/_common.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_client.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_client.py new file mode 100644 index 0000000000000000000000000000000000000000..ecd23dc35466e7282a75d7a6eed7da38a28753f8 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_client.py @@ -0,0 +1,3552 @@ +# coding=utf-8 +# Copyright 2023-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Related resources: +# https://huggingface.co/tasks +# https://huggingface.co/docs/huggingface.js/inference/README +# https://github.com/huggingface/huggingface.js/tree/main/packages/inference/src +# https://github.com/huggingface/text-generation-inference/tree/main/clients/python +# https://github.com/huggingface/text-generation-inference/blob/main/clients/python/text_generation/client.py +# https://huggingface.slack.com/archives/C03E4DQ9LAJ/p1680169099087869 +# https://github.com/huggingface/unity-api#tasks +# +# Some TODO: +# - add all tasks +# +# NOTE: the philosophy of this client is "let's make it as easy as possible to use it, even if less optimized". Some +# examples of how it translates: +# - Timeout / Server unavailable is handled by the client in a single "timeout" parameter. +# - Files can be provided as bytes, file paths, or URLs and the client will try to "guess" the type. +# - Images are parsed as PIL.Image for easier manipulation. +# - Provides a "recommended model" for each task => suboptimal but user-wise quicker to get a first script running. +# - Only the main parameters are publicly exposed. Power users can always read the docs for more options. +import base64 +import logging +import re +import warnings +from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Literal, Optional, Union, overload + +from requests import HTTPError + +from huggingface_hub import constants +from huggingface_hub.errors import BadRequestError, InferenceTimeoutError +from huggingface_hub.inference._common import ( + TASKS_EXPECTING_IMAGES, + ContentT, + ModelStatus, + RequestParameters, + _b64_encode, + _b64_to_image, + _bytes_to_dict, + _bytes_to_image, + _bytes_to_list, + _get_unsupported_text_generation_kwargs, + _import_numpy, + _open_as_binary, + _set_unsupported_text_generation_kwargs, + _stream_chat_completion_response, + _stream_text_generation_response, + raise_text_generation_error, +) +from huggingface_hub.inference._generated.types import ( + AudioClassificationOutputElement, + AudioClassificationOutputTransform, + AudioToAudioOutputElement, + AutomaticSpeechRecognitionOutput, + ChatCompletionInputGrammarType, + ChatCompletionInputMessage, + ChatCompletionInputStreamOptions, + ChatCompletionInputTool, + ChatCompletionInputToolChoiceClass, + ChatCompletionInputToolChoiceEnum, + ChatCompletionOutput, + ChatCompletionStreamOutput, + DocumentQuestionAnsweringOutputElement, + FillMaskOutputElement, + ImageClassificationOutputElement, + ImageClassificationOutputTransform, + ImageSegmentationOutputElement, + ImageSegmentationSubtask, + ImageToImageTargetSize, + ImageToTextOutput, + ImageToVideoTargetSize, + ObjectDetectionOutputElement, + Padding, + QuestionAnsweringOutputElement, + SummarizationOutput, + SummarizationTruncationStrategy, + TableQuestionAnsweringOutputElement, + TextClassificationOutputElement, + TextClassificationOutputTransform, + TextGenerationInputGrammarType, + TextGenerationOutput, + TextGenerationStreamOutput, + TextToSpeechEarlyStoppingEnum, + TokenClassificationAggregationStrategy, + TokenClassificationOutputElement, + TranslationOutput, + TranslationTruncationStrategy, + VisualQuestionAnsweringOutputElement, + ZeroShotClassificationOutputElement, + ZeroShotImageClassificationOutputElement, +) +from huggingface_hub.inference._providers import PROVIDER_OR_POLICY_T, get_provider_helper +from huggingface_hub.utils import build_hf_headers, get_session, hf_raise_for_status +from huggingface_hub.utils._auth import get_token +from huggingface_hub.utils._deprecation import _deprecate_method + + +if TYPE_CHECKING: + import numpy as np + from PIL.Image import Image + +logger = logging.getLogger(__name__) + + +MODEL_KWARGS_NOT_USED_REGEX = re.compile(r"The following `model_kwargs` are not used by the model: \[(.*?)\]") + + +class InferenceClient: + """ + Initialize a new Inference Client. + + [`InferenceClient`] aims to provide a unified experience to perform inference. The client can be used + seamlessly with either the (free) Inference API, self-hosted Inference Endpoints, or third-party Inference Providers. + + Args: + model (`str`, `optional`): + The model to run inference with. Can be a model id hosted on the Hugging Face Hub, e.g. `meta-llama/Meta-Llama-3-8B-Instruct` + or a URL to a deployed Inference Endpoint. Defaults to None, in which case a recommended model is + automatically selected for the task. + Note: for better compatibility with OpenAI's client, `model` has been aliased as `base_url`. Those 2 + arguments are mutually exclusive. If a URL is passed as `model` or `base_url` for chat completion, the `(/v1)/chat/completions` suffix path will be appended to the URL. + provider (`str`, *optional*): + Name of the provider to use for inference. Can be `"black-forest-labs"`, `"cerebras"`, `"cohere"`, `"fal-ai"`, `"featherless-ai"`, `"fireworks-ai"`, `"groq"`, `"hf-inference"`, `"hyperbolic"`, `"nebius"`, `"novita"`, `"nscale"`, `"openai"`, `"replicate"`, "sambanova"` or `"together"`. + Defaults to "auto" i.e. the first of the providers available for the model, sorted by the user's order in https://hf.co/settings/inference-providers. + If model is a URL or `base_url` is passed, then `provider` is not used. + token (`str`, *optional*): + Hugging Face token. Will default to the locally saved token if not provided. + Note: for better compatibility with OpenAI's client, `token` has been aliased as `api_key`. Those 2 + arguments are mutually exclusive and have the exact same behavior. + timeout (`float`, `optional`): + The maximum number of seconds to wait for a response from the server. Defaults to None, meaning it will loop until the server is available. + headers (`Dict[str, str]`, `optional`): + Additional headers to send to the server. By default only the authorization and user-agent headers are sent. + Values in this dictionary will override the default values. + bill_to (`str`, `optional`): + The billing account to use for the requests. By default the requests are billed on the user's account. + Requests can only be billed to an organization the user is a member of, and which has subscribed to Enterprise Hub. + cookies (`Dict[str, str]`, `optional`): + Additional cookies to send to the server. + proxies (`Any`, `optional`): + Proxies to use for the request. + base_url (`str`, `optional`): + Base URL to run inference. This is a duplicated argument from `model` to make [`InferenceClient`] + follow the same pattern as `openai.OpenAI` client. Cannot be used if `model` is set. Defaults to None. + api_key (`str`, `optional`): + Token to use for authentication. This is a duplicated argument from `token` to make [`InferenceClient`] + follow the same pattern as `openai.OpenAI` client. Cannot be used if `token` is set. Defaults to None. + """ + + def __init__( + self, + model: Optional[str] = None, + *, + provider: Optional[PROVIDER_OR_POLICY_T] = None, + token: Optional[str] = None, + timeout: Optional[float] = None, + headers: Optional[Dict[str, str]] = None, + cookies: Optional[Dict[str, str]] = None, + proxies: Optional[Any] = None, + bill_to: Optional[str] = None, + # OpenAI compatibility + base_url: Optional[str] = None, + api_key: Optional[str] = None, + ) -> None: + if model is not None and base_url is not None: + raise ValueError( + "Received both `model` and `base_url` arguments. Please provide only one of them." + " `base_url` is an alias for `model` to make the API compatible with OpenAI's client." + " If using `base_url` for chat completion, the `/chat/completions` suffix path will be appended to the base url." + " When passing a URL as `model`, the client will not append any suffix path to it." + ) + if token is not None and api_key is not None: + raise ValueError( + "Received both `token` and `api_key` arguments. Please provide only one of them." + " `api_key` is an alias for `token` to make the API compatible with OpenAI's client." + " It has the exact same behavior as `token`." + ) + token = token if token is not None else api_key + if isinstance(token, bool): + # Legacy behavior: previously is was possible to pass `token=False` to disable authentication. This is not + # supported anymore as authentication is required. Better to explicitly raise here rather than risking + # sending the locally saved token without the user knowing about it. + if token is False: + raise ValueError( + "Cannot use `token=False` to disable authentication as authentication is required to run Inference." + ) + warnings.warn( + "Using `token=True` to automatically use the locally saved token is deprecated and will be removed in a future release. " + "Please use `token=None` instead (default).", + DeprecationWarning, + ) + token = get_token() + + self.model: Optional[str] = base_url or model + self.token: Optional[str] = token + + self.headers = {**headers} if headers is not None else {} + if bill_to is not None: + if ( + constants.HUGGINGFACE_HEADER_X_BILL_TO in self.headers + and self.headers[constants.HUGGINGFACE_HEADER_X_BILL_TO] != bill_to + ): + warnings.warn( + f"Overriding existing '{self.headers[constants.HUGGINGFACE_HEADER_X_BILL_TO]}' value in headers with '{bill_to}'.", + UserWarning, + ) + self.headers[constants.HUGGINGFACE_HEADER_X_BILL_TO] = bill_to + + if token is not None and not token.startswith("hf_"): + warnings.warn( + "You've provided an external provider's API key, so requests will be billed directly by the provider. " + "The `bill_to` parameter is only applicable for Hugging Face billing and will be ignored.", + UserWarning, + ) + + # Configure provider + self.provider = provider + + self.cookies = cookies + self.timeout = timeout + self.proxies = proxies + + def __repr__(self): + return f"" + + @overload + def _inner_post( # type: ignore[misc] + self, request_parameters: RequestParameters, *, stream: Literal[False] = ... + ) -> bytes: ... + + @overload + def _inner_post( # type: ignore[misc] + self, request_parameters: RequestParameters, *, stream: Literal[True] = ... + ) -> Iterable[bytes]: ... + + @overload + def _inner_post( + self, request_parameters: RequestParameters, *, stream: bool = False + ) -> Union[bytes, Iterable[bytes]]: ... + + def _inner_post( + self, request_parameters: RequestParameters, *, stream: bool = False + ) -> Union[bytes, Iterable[bytes]]: + """Make a request to the inference server.""" + # TODO: this should be handled in provider helpers directly + if request_parameters.task in TASKS_EXPECTING_IMAGES and "Accept" not in request_parameters.headers: + request_parameters.headers["Accept"] = "image/png" + + with _open_as_binary(request_parameters.data) as data_as_binary: + try: + response = get_session().post( + request_parameters.url, + json=request_parameters.json, + data=data_as_binary, + headers=request_parameters.headers, + cookies=self.cookies, + timeout=self.timeout, + stream=stream, + proxies=self.proxies, + ) + except TimeoutError as error: + # Convert any `TimeoutError` to a `InferenceTimeoutError` + raise InferenceTimeoutError(f"Inference call timed out: {request_parameters.url}") from error # type: ignore + + try: + hf_raise_for_status(response) + return response.iter_lines() if stream else response.content + except HTTPError as error: + if error.response.status_code == 422 and request_parameters.task != "unknown": + msg = str(error.args[0]) + if len(error.response.text) > 0: + msg += f"\n{error.response.text}\n" + error.args = (msg,) + error.args[1:] + raise + + def audio_classification( + self, + audio: ContentT, + *, + model: Optional[str] = None, + top_k: Optional[int] = None, + function_to_apply: Optional["AudioClassificationOutputTransform"] = None, + ) -> List[AudioClassificationOutputElement]: + """ + Perform audio classification on the provided audio content. + + Args: + audio (Union[str, Path, bytes, BinaryIO]): + The audio content to classify. It can be raw audio bytes, a local audio file, or a URL pointing to an + audio file. + model (`str`, *optional*): + The model to use for audio classification. Can be a model ID hosted on the Hugging Face Hub + or a URL to a deployed Inference Endpoint. If not provided, the default recommended model for + audio classification will be used. + top_k (`int`, *optional*): + When specified, limits the output to the top K most probable classes. + function_to_apply (`"AudioClassificationOutputTransform"`, *optional*): + The function to apply to the model outputs in order to retrieve the scores. + + Returns: + `List[AudioClassificationOutputElement]`: List of [`AudioClassificationOutputElement`] items containing the predicted labels and their confidence. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.audio_classification("audio.flac") + [ + AudioClassificationOutputElement(score=0.4976358711719513, label='hap'), + AudioClassificationOutputElement(score=0.3677836060523987, label='neu'), + ... + ] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="audio-classification", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=audio, + parameters={"function_to_apply": function_to_apply, "top_k": top_k}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return AudioClassificationOutputElement.parse_obj_as_list(response) + + def audio_to_audio( + self, + audio: ContentT, + *, + model: Optional[str] = None, + ) -> List[AudioToAudioOutputElement]: + """ + Performs multiple tasks related to audio-to-audio depending on the model (eg: speech enhancement, source separation). + + Args: + audio (Union[str, Path, bytes, BinaryIO]): + The audio content for the model. It can be raw audio bytes, a local audio file, or a URL pointing to an + audio file. + model (`str`, *optional*): + The model can be any model which takes an audio file and returns another audio file. Can be a model ID hosted on the Hugging Face Hub + or a URL to a deployed Inference Endpoint. If not provided, the default recommended model for + audio_to_audio will be used. + + Returns: + `List[AudioToAudioOutputElement]`: A list of [`AudioToAudioOutputElement`] items containing audios label, content-type, and audio content in blob. + + Raises: + `InferenceTimeoutError`: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> audio_output = client.audio_to_audio("audio.flac") + >>> for i, item in enumerate(audio_output): + >>> with open(f"output_{i}.flac", "wb") as f: + f.write(item.blob) + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="audio-to-audio", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=audio, + parameters={}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + audio_output = AudioToAudioOutputElement.parse_obj_as_list(response) + for item in audio_output: + item.blob = base64.b64decode(item.blob) + return audio_output + + def automatic_speech_recognition( + self, + audio: ContentT, + *, + model: Optional[str] = None, + extra_body: Optional[Dict] = None, + ) -> AutomaticSpeechRecognitionOutput: + """ + Perform automatic speech recognition (ASR or audio-to-text) on the given audio content. + + Args: + audio (Union[str, Path, bytes, BinaryIO]): + The content to transcribe. It can be raw audio bytes, local audio file, or a URL to an audio file. + model (`str`, *optional*): + The model to use for ASR. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. If not provided, the default recommended model for ASR will be used. + extra_body (`Dict`, *optional*): + Additional provider-specific parameters to pass to the model. Refer to the provider's documentation + for supported parameters. + Returns: + [`AutomaticSpeechRecognitionOutput`]: An item containing the transcribed text and optionally the timestamp chunks. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.automatic_speech_recognition("hello_world.flac").text + "hello world" + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="automatic-speech-recognition", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=audio, + parameters={**(extra_body or {})}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return AutomaticSpeechRecognitionOutput.parse_obj_as_instance(response) + + @overload + def chat_completion( # type: ignore + self, + messages: List[Union[Dict, ChatCompletionInputMessage]], + *, + model: Optional[str] = None, + stream: Literal[False] = False, + frequency_penalty: Optional[float] = None, + logit_bias: Optional[List[float]] = None, + logprobs: Optional[bool] = None, + max_tokens: Optional[int] = None, + n: Optional[int] = None, + presence_penalty: Optional[float] = None, + response_format: Optional[ChatCompletionInputGrammarType] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stream_options: Optional[ChatCompletionInputStreamOptions] = None, + temperature: Optional[float] = None, + tool_choice: Optional[Union[ChatCompletionInputToolChoiceClass, "ChatCompletionInputToolChoiceEnum"]] = None, + tool_prompt: Optional[str] = None, + tools: Optional[List[ChatCompletionInputTool]] = None, + top_logprobs: Optional[int] = None, + top_p: Optional[float] = None, + extra_body: Optional[Dict] = None, + ) -> ChatCompletionOutput: ... + + @overload + def chat_completion( # type: ignore + self, + messages: List[Union[Dict, ChatCompletionInputMessage]], + *, + model: Optional[str] = None, + stream: Literal[True] = True, + frequency_penalty: Optional[float] = None, + logit_bias: Optional[List[float]] = None, + logprobs: Optional[bool] = None, + max_tokens: Optional[int] = None, + n: Optional[int] = None, + presence_penalty: Optional[float] = None, + response_format: Optional[ChatCompletionInputGrammarType] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stream_options: Optional[ChatCompletionInputStreamOptions] = None, + temperature: Optional[float] = None, + tool_choice: Optional[Union[ChatCompletionInputToolChoiceClass, "ChatCompletionInputToolChoiceEnum"]] = None, + tool_prompt: Optional[str] = None, + tools: Optional[List[ChatCompletionInputTool]] = None, + top_logprobs: Optional[int] = None, + top_p: Optional[float] = None, + extra_body: Optional[Dict] = None, + ) -> Iterable[ChatCompletionStreamOutput]: ... + + @overload + def chat_completion( + self, + messages: List[Union[Dict, ChatCompletionInputMessage]], + *, + model: Optional[str] = None, + stream: bool = False, + frequency_penalty: Optional[float] = None, + logit_bias: Optional[List[float]] = None, + logprobs: Optional[bool] = None, + max_tokens: Optional[int] = None, + n: Optional[int] = None, + presence_penalty: Optional[float] = None, + response_format: Optional[ChatCompletionInputGrammarType] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stream_options: Optional[ChatCompletionInputStreamOptions] = None, + temperature: Optional[float] = None, + tool_choice: Optional[Union[ChatCompletionInputToolChoiceClass, "ChatCompletionInputToolChoiceEnum"]] = None, + tool_prompt: Optional[str] = None, + tools: Optional[List[ChatCompletionInputTool]] = None, + top_logprobs: Optional[int] = None, + top_p: Optional[float] = None, + extra_body: Optional[Dict] = None, + ) -> Union[ChatCompletionOutput, Iterable[ChatCompletionStreamOutput]]: ... + + def chat_completion( + self, + messages: List[Union[Dict, ChatCompletionInputMessage]], + *, + model: Optional[str] = None, + stream: bool = False, + # Parameters from ChatCompletionInput (handled manually) + frequency_penalty: Optional[float] = None, + logit_bias: Optional[List[float]] = None, + logprobs: Optional[bool] = None, + max_tokens: Optional[int] = None, + n: Optional[int] = None, + presence_penalty: Optional[float] = None, + response_format: Optional[ChatCompletionInputGrammarType] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stream_options: Optional[ChatCompletionInputStreamOptions] = None, + temperature: Optional[float] = None, + tool_choice: Optional[Union[ChatCompletionInputToolChoiceClass, "ChatCompletionInputToolChoiceEnum"]] = None, + tool_prompt: Optional[str] = None, + tools: Optional[List[ChatCompletionInputTool]] = None, + top_logprobs: Optional[int] = None, + top_p: Optional[float] = None, + extra_body: Optional[Dict] = None, + ) -> Union[ChatCompletionOutput, Iterable[ChatCompletionStreamOutput]]: + """ + A method for completing conversations using a specified language model. + + + + The `client.chat_completion` method is aliased as `client.chat.completions.create` for compatibility with OpenAI's client. + Inputs and outputs are strictly the same and using either syntax will yield the same results. + Check out the [Inference guide](https://huggingface.co/docs/huggingface_hub/guides/inference#openai-compatibility) + for more details about OpenAI's compatibility. + + + + + You can pass provider-specific parameters to the model by using the `extra_body` argument. + + + Args: + messages (List of [`ChatCompletionInputMessage`]): + Conversation history consisting of roles and content pairs. + model (`str`, *optional*): + The model to use for chat-completion. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. If not provided, the default recommended model for chat-based text-generation will be used. + See https://huggingface.co/tasks/text-generation for more details. + If `model` is a model ID, it is passed to the server as the `model` parameter. If you want to define a + custom URL while setting `model` in the request payload, you must set `base_url` when initializing [`InferenceClient`]. + frequency_penalty (`float`, *optional*): + Penalizes new tokens based on their existing frequency + in the text so far. Range: [-2.0, 2.0]. Defaults to 0.0. + logit_bias (`List[float]`, *optional*): + Adjusts the likelihood of specific tokens appearing in the generated output. + logprobs (`bool`, *optional*): + Whether to return log probabilities of the output tokens or not. If true, returns the log + probabilities of each output token returned in the content of message. + max_tokens (`int`, *optional*): + Maximum number of tokens allowed in the response. Defaults to 100. + n (`int`, *optional*): + The number of completions to generate for each prompt. + presence_penalty (`float`, *optional*): + Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the + text so far, increasing the model's likelihood to talk about new topics. + response_format ([`ChatCompletionInputGrammarType`], *optional*): + Grammar constraints. Can be either a JSONSchema or a regex. + seed (Optional[`int`], *optional*): + Seed for reproducible control flow. Defaults to None. + stop (`List[str]`, *optional*): + Up to four strings which trigger the end of the response. + Defaults to None. + stream (`bool`, *optional*): + Enable realtime streaming of responses. Defaults to False. + stream_options ([`ChatCompletionInputStreamOptions`], *optional*): + Options for streaming completions. + temperature (`float`, *optional*): + Controls randomness of the generations. Lower values ensure + less random completions. Range: [0, 2]. Defaults to 1.0. + top_logprobs (`int`, *optional*): + An integer between 0 and 5 specifying the number of most likely tokens to return at each token + position, each with an associated log probability. logprobs must be set to true if this parameter is + used. + top_p (`float`, *optional*): + Fraction of the most likely next words to sample from. + Must be between 0 and 1. Defaults to 1.0. + tool_choice ([`ChatCompletionInputToolChoiceClass`] or [`ChatCompletionInputToolChoiceEnum`], *optional*): + The tool to use for the completion. Defaults to "auto". + tool_prompt (`str`, *optional*): + A prompt to be appended before the tools. + tools (List of [`ChatCompletionInputTool`], *optional*): + A list of tools the model may call. Currently, only functions are supported as a tool. Use this to + provide a list of functions the model may generate JSON inputs for. + extra_body (`Dict`, *optional*): + Additional provider-specific parameters to pass to the model. Refer to the provider's documentation + for supported parameters. + Returns: + [`ChatCompletionOutput`] or Iterable of [`ChatCompletionStreamOutput`]: + Generated text returned from the server: + - if `stream=False`, the generated text is returned as a [`ChatCompletionOutput`] (default). + - if `stream=True`, the generated text is returned token by token as a sequence of [`ChatCompletionStreamOutput`]. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + + ```py + >>> from huggingface_hub import InferenceClient + >>> messages = [{"role": "user", "content": "What is the capital of France?"}] + >>> client = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct") + >>> client.chat_completion(messages, max_tokens=100) + ChatCompletionOutput( + choices=[ + ChatCompletionOutputComplete( + finish_reason='eos_token', + index=0, + message=ChatCompletionOutputMessage( + role='assistant', + content='The capital of France is Paris.', + name=None, + tool_calls=None + ), + logprobs=None + ) + ], + created=1719907176, + id='', + model='meta-llama/Meta-Llama-3-8B-Instruct', + object='text_completion', + system_fingerprint='2.0.4-sha-f426a33', + usage=ChatCompletionOutputUsage( + completion_tokens=8, + prompt_tokens=17, + total_tokens=25 + ) + ) + ``` + + Example using streaming: + ```py + >>> from huggingface_hub import InferenceClient + >>> messages = [{"role": "user", "content": "What is the capital of France?"}] + >>> client = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct") + >>> for token in client.chat_completion(messages, max_tokens=10, stream=True): + ... print(token) + ChatCompletionStreamOutput(choices=[ChatCompletionStreamOutputChoice(delta=ChatCompletionStreamOutputDelta(content='The', role='assistant'), index=0, finish_reason=None)], created=1710498504) + ChatCompletionStreamOutput(choices=[ChatCompletionStreamOutputChoice(delta=ChatCompletionStreamOutputDelta(content=' capital', role='assistant'), index=0, finish_reason=None)], created=1710498504) + (...) + ChatCompletionStreamOutput(choices=[ChatCompletionStreamOutputChoice(delta=ChatCompletionStreamOutputDelta(content=' may', role='assistant'), index=0, finish_reason=None)], created=1710498504) + ``` + + Example using OpenAI's syntax: + ```py + # instead of `from openai import OpenAI` + from huggingface_hub import InferenceClient + + # instead of `client = OpenAI(...)` + client = InferenceClient( + base_url=..., + api_key=..., + ) + + output = client.chat.completions.create( + model="meta-llama/Meta-Llama-3-8B-Instruct", + messages=[ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": "Count to 10"}, + ], + stream=True, + max_tokens=1024, + ) + + for chunk in output: + print(chunk.choices[0].delta.content) + ``` + + Example using a third-party provider directly with extra (provider-specific) parameters. Usage will be billed on your Together AI account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="together", # Use Together AI provider + ... api_key="", # Pass your Together API key directly + ... ) + >>> client.chat_completion( + ... model="meta-llama/Meta-Llama-3-8B-Instruct", + ... messages=[{"role": "user", "content": "What is the capital of France?"}], + ... extra_body={"safety_model": "Meta-Llama/Llama-Guard-7b"}, + ... ) + ``` + + Example using a third-party provider through Hugging Face Routing. Usage will be billed on your Hugging Face account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="sambanova", # Use Sambanova provider + ... api_key="hf_...", # Pass your HF token + ... ) + >>> client.chat_completion( + ... model="meta-llama/Meta-Llama-3-8B-Instruct", + ... messages=[{"role": "user", "content": "What is the capital of France?"}], + ... ) + ``` + + Example using Image + Text as input: + ```py + >>> from huggingface_hub import InferenceClient + + # provide a remote URL + >>> image_url ="https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" + # or a base64-encoded image + >>> image_path = "/path/to/image.jpeg" + >>> with open(image_path, "rb") as f: + ... base64_image = base64.b64encode(f.read()).decode("utf-8") + >>> image_url = f"data:image/jpeg;base64,{base64_image}" + + >>> client = InferenceClient("meta-llama/Llama-3.2-11B-Vision-Instruct") + >>> output = client.chat.completions.create( + ... messages=[ + ... { + ... "role": "user", + ... "content": [ + ... { + ... "type": "image_url", + ... "image_url": {"url": image_url}, + ... }, + ... { + ... "type": "text", + ... "text": "Describe this image in one sentence.", + ... }, + ... ], + ... }, + ... ], + ... ) + >>> output + The image depicts the iconic Statue of Liberty situated in New York Harbor, New York, on a clear day. + ``` + + Example using tools: + ```py + >>> client = InferenceClient("meta-llama/Meta-Llama-3-70B-Instruct") + >>> messages = [ + ... { + ... "role": "system", + ... "content": "Don't make assumptions about what values to plug into functions. Ask for clarification if a user request is ambiguous.", + ... }, + ... { + ... "role": "user", + ... "content": "What's the weather like the next 3 days in San Francisco, CA?", + ... }, + ... ] + >>> tools = [ + ... { + ... "type": "function", + ... "function": { + ... "name": "get_current_weather", + ... "description": "Get the current weather", + ... "parameters": { + ... "type": "object", + ... "properties": { + ... "location": { + ... "type": "string", + ... "description": "The city and state, e.g. San Francisco, CA", + ... }, + ... "format": { + ... "type": "string", + ... "enum": ["celsius", "fahrenheit"], + ... "description": "The temperature unit to use. Infer this from the users location.", + ... }, + ... }, + ... "required": ["location", "format"], + ... }, + ... }, + ... }, + ... { + ... "type": "function", + ... "function": { + ... "name": "get_n_day_weather_forecast", + ... "description": "Get an N-day weather forecast", + ... "parameters": { + ... "type": "object", + ... "properties": { + ... "location": { + ... "type": "string", + ... "description": "The city and state, e.g. San Francisco, CA", + ... }, + ... "format": { + ... "type": "string", + ... "enum": ["celsius", "fahrenheit"], + ... "description": "The temperature unit to use. Infer this from the users location.", + ... }, + ... "num_days": { + ... "type": "integer", + ... "description": "The number of days to forecast", + ... }, + ... }, + ... "required": ["location", "format", "num_days"], + ... }, + ... }, + ... }, + ... ] + + >>> response = client.chat_completion( + ... model="meta-llama/Meta-Llama-3-70B-Instruct", + ... messages=messages, + ... tools=tools, + ... tool_choice="auto", + ... max_tokens=500, + ... ) + >>> response.choices[0].message.tool_calls[0].function + ChatCompletionOutputFunctionDefinition( + arguments={ + 'location': 'San Francisco, CA', + 'format': 'fahrenheit', + 'num_days': 3 + }, + name='get_n_day_weather_forecast', + description=None + ) + ``` + + Example using response_format: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient("meta-llama/Meta-Llama-3-70B-Instruct") + >>> messages = [ + ... { + ... "role": "user", + ... "content": "I saw a puppy a cat and a raccoon during my bike ride in the park. What did I saw and when?", + ... }, + ... ] + >>> response_format = { + ... "type": "json", + ... "value": { + ... "properties": { + ... "location": {"type": "string"}, + ... "activity": {"type": "string"}, + ... "animals_seen": {"type": "integer", "minimum": 1, "maximum": 5}, + ... "animals": {"type": "array", "items": {"type": "string"}}, + ... }, + ... "required": ["location", "activity", "animals_seen", "animals"], + ... }, + ... } + >>> response = client.chat_completion( + ... messages=messages, + ... response_format=response_format, + ... max_tokens=500, + ... ) + >>> response.choices[0].message.content + '{\n\n"activity": "bike ride",\n"animals": ["puppy", "cat", "raccoon"],\n"animals_seen": 3,\n"location": "park"}' + ``` + """ + # Since `chat_completion(..., model=xxx)` is also a payload parameter for the server, we need to handle 'model' differently. + # `self.model` takes precedence over 'model' argument for building URL. + # `model` takes precedence for payload value. + model_id_or_url = self.model or model + payload_model = model or self.model + + # Get the provider helper + provider_helper = get_provider_helper( + self.provider, + task="conversational", + model=model_id_or_url + if model_id_or_url is not None and model_id_or_url.startswith(("http://", "https://")) + else payload_model, + ) + + # Prepare the payload + parameters = { + "model": payload_model, + "frequency_penalty": frequency_penalty, + "logit_bias": logit_bias, + "logprobs": logprobs, + "max_tokens": max_tokens, + "n": n, + "presence_penalty": presence_penalty, + "response_format": response_format, + "seed": seed, + "stop": stop, + "temperature": temperature, + "tool_choice": tool_choice, + "tool_prompt": tool_prompt, + "tools": tools, + "top_logprobs": top_logprobs, + "top_p": top_p, + "stream": stream, + "stream_options": stream_options, + **(extra_body or {}), + } + request_parameters = provider_helper.prepare_request( + inputs=messages, + parameters=parameters, + headers=self.headers, + model=model_id_or_url, + api_key=self.token, + ) + data = self._inner_post(request_parameters, stream=stream) + + if stream: + return _stream_chat_completion_response(data) # type: ignore[arg-type] + + return ChatCompletionOutput.parse_obj_as_instance(data) # type: ignore[arg-type] + + def document_question_answering( + self, + image: ContentT, + question: str, + *, + model: Optional[str] = None, + doc_stride: Optional[int] = None, + handle_impossible_answer: Optional[bool] = None, + lang: Optional[str] = None, + max_answer_len: Optional[int] = None, + max_question_len: Optional[int] = None, + max_seq_len: Optional[int] = None, + top_k: Optional[int] = None, + word_boxes: Optional[List[Union[List[float], str]]] = None, + ) -> List[DocumentQuestionAnsweringOutputElement]: + """ + Answer questions on document images. + + Args: + image (`Union[str, Path, bytes, BinaryIO]`): + The input image for the context. It can be raw bytes, an image file, or a URL to an online image. + question (`str`): + Question to be answered. + model (`str`, *optional*): + The model to use for the document question answering task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended document question answering model will be used. + Defaults to None. + doc_stride (`int`, *optional*): + If the words in the document are too long to fit with the question for the model, it will be split in + several chunks with some overlap. This argument controls the size of that overlap. + handle_impossible_answer (`bool`, *optional*): + Whether to accept impossible as an answer + lang (`str`, *optional*): + Language to use while running OCR. Defaults to english. + max_answer_len (`int`, *optional*): + The maximum length of predicted answers (e.g., only answers with a shorter length are considered). + max_question_len (`int`, *optional*): + The maximum length of the question after tokenization. It will be truncated if needed. + max_seq_len (`int`, *optional*): + The maximum length of the total sentence (context + question) in tokens of each chunk passed to the + model. The context will be split in several chunks (using doc_stride as overlap) if needed. + top_k (`int`, *optional*): + The number of answers to return (will be chosen by order of likelihood). Can return less than top_k + answers if there are not enough options available within the context. + word_boxes (`List[Union[List[float], str`, *optional*): + A list of words and bounding boxes (normalized 0->1000). If provided, the inference will skip the OCR + step and use the provided bounding boxes instead. + Returns: + `List[DocumentQuestionAnsweringOutputElement]`: a list of [`DocumentQuestionAnsweringOutputElement`] items containing the predicted label, associated probability, word ids, and page number. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.document_question_answering(image="https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png", question="What is the invoice number?") + [DocumentQuestionAnsweringOutputElement(answer='us-001', end=16, score=0.9999666213989258, start=16)] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="document-question-answering", model=model_id) + inputs: Dict[str, Any] = {"question": question, "image": _b64_encode(image)} + request_parameters = provider_helper.prepare_request( + inputs=inputs, + parameters={ + "doc_stride": doc_stride, + "handle_impossible_answer": handle_impossible_answer, + "lang": lang, + "max_answer_len": max_answer_len, + "max_question_len": max_question_len, + "max_seq_len": max_seq_len, + "top_k": top_k, + "word_boxes": word_boxes, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return DocumentQuestionAnsweringOutputElement.parse_obj_as_list(response) + + def feature_extraction( + self, + text: str, + *, + normalize: Optional[bool] = None, + prompt_name: Optional[str] = None, + truncate: Optional[bool] = None, + truncation_direction: Optional[Literal["Left", "Right"]] = None, + model: Optional[str] = None, + ) -> "np.ndarray": + """ + Generate embeddings for a given text. + + Args: + text (`str`): + The text to embed. + model (`str`, *optional*): + The model to use for the feature extraction task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended feature extraction model will be used. + Defaults to None. + normalize (`bool`, *optional*): + Whether to normalize the embeddings or not. + Only available on server powered by Text-Embedding-Inference. + prompt_name (`str`, *optional*): + The name of the prompt that should be used by for encoding. If not set, no prompt will be applied. + Must be a key in the `Sentence Transformers` configuration `prompts` dictionary. + For example if ``prompt_name`` is "query" and the ``prompts`` is {"query": "query: ",...}, + then the sentence "What is the capital of France?" will be encoded as "query: What is the capital of France?" + because the prompt text will be prepended before any text to encode. + truncate (`bool`, *optional*): + Whether to truncate the embeddings or not. + Only available on server powered by Text-Embedding-Inference. + truncation_direction (`Literal["Left", "Right"]`, *optional*): + Which side of the input should be truncated when `truncate=True` is passed. + + Returns: + `np.ndarray`: The embedding representing the input text as a float32 numpy array. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.feature_extraction("Hi, who are you?") + array([[ 2.424802 , 2.93384 , 1.1750331 , ..., 1.240499, -0.13776633, -0.7889173 ], + [-0.42943227, -0.6364878 , -1.693462 , ..., 0.41978157, -2.4336355 , 0.6162071 ], + ..., + [ 0.28552425, -0.928395 , -1.2077185 , ..., 0.76810825, -2.1069427 , 0.6236161 ]], dtype=float32) + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="feature-extraction", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters={ + "normalize": normalize, + "prompt_name": prompt_name, + "truncate": truncate, + "truncation_direction": truncation_direction, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + np = _import_numpy() + return np.array(provider_helper.get_response(response), dtype="float32") + + def fill_mask( + self, + text: str, + *, + model: Optional[str] = None, + targets: Optional[List[str]] = None, + top_k: Optional[int] = None, + ) -> List[FillMaskOutputElement]: + """ + Fill in a hole with a missing word (token to be precise). + + Args: + text (`str`): + a string to be filled from, must contain the [MASK] token (check model card for exact name of the mask). + model (`str`, *optional*): + The model to use for the fill mask task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended fill mask model will be used. + targets (`List[str`, *optional*): + When passed, the model will limit the scores to the passed targets instead of looking up in the whole + vocabulary. If the provided targets are not in the model vocab, they will be tokenized and the first + resulting token will be used (with a warning, and that might be slower). + top_k (`int`, *optional*): + When passed, overrides the number of predictions to return. + Returns: + `List[FillMaskOutputElement]`: a list of [`FillMaskOutputElement`] items containing the predicted label, associated + probability, token reference, and completed text. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.fill_mask("The goal of life is .") + [ + FillMaskOutputElement(score=0.06897063553333282, token=11098, token_str=' happiness', sequence='The goal of life is happiness.'), + FillMaskOutputElement(score=0.06554922461509705, token=45075, token_str=' immortality', sequence='The goal of life is immortality.') + ] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="fill-mask", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters={"targets": targets, "top_k": top_k}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return FillMaskOutputElement.parse_obj_as_list(response) + + def image_classification( + self, + image: ContentT, + *, + model: Optional[str] = None, + function_to_apply: Optional["ImageClassificationOutputTransform"] = None, + top_k: Optional[int] = None, + ) -> List[ImageClassificationOutputElement]: + """ + Perform image classification on the given image using the specified model. + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The image to classify. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + model (`str`, *optional*): + The model to use for image classification. Can be a model ID hosted on the Hugging Face Hub or a URL to a + deployed Inference Endpoint. If not provided, the default recommended model for image classification will be used. + function_to_apply (`"ImageClassificationOutputTransform"`, *optional*): + The function to apply to the model outputs in order to retrieve the scores. + top_k (`int`, *optional*): + When specified, limits the output to the top K most probable classes. + Returns: + `List[ImageClassificationOutputElement]`: a list of [`ImageClassificationOutputElement`] items containing the predicted label and associated probability. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.image_classification("https://upload.wikimedia.org/wikipedia/commons/thumb/4/43/Cute_dog.jpg/320px-Cute_dog.jpg") + [ImageClassificationOutputElement(label='Blenheim spaniel', score=0.9779096841812134), ...] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="image-classification", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={"function_to_apply": function_to_apply, "top_k": top_k}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return ImageClassificationOutputElement.parse_obj_as_list(response) + + def image_segmentation( + self, + image: ContentT, + *, + model: Optional[str] = None, + mask_threshold: Optional[float] = None, + overlap_mask_area_threshold: Optional[float] = None, + subtask: Optional["ImageSegmentationSubtask"] = None, + threshold: Optional[float] = None, + ) -> List[ImageSegmentationOutputElement]: + """ + Perform image segmentation on the given image using the specified model. + + + + You must have `PIL` installed if you want to work with images (`pip install Pillow`). + + + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The image to segment. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + model (`str`, *optional*): + The model to use for image segmentation. Can be a model ID hosted on the Hugging Face Hub or a URL to a + deployed Inference Endpoint. If not provided, the default recommended model for image segmentation will be used. + mask_threshold (`float`, *optional*): + Threshold to use when turning the predicted masks into binary values. + overlap_mask_area_threshold (`float`, *optional*): + Mask overlap threshold to eliminate small, disconnected segments. + subtask (`"ImageSegmentationSubtask"`, *optional*): + Segmentation task to be performed, depending on model capabilities. + threshold (`float`, *optional*): + Probability threshold to filter out predicted masks. + Returns: + `List[ImageSegmentationOutputElement]`: A list of [`ImageSegmentationOutputElement`] items containing the segmented masks and associated attributes. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.image_segmentation("cat.jpg") + [ImageSegmentationOutputElement(score=0.989008, label='LABEL_184', mask=), ...] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="image-segmentation", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={ + "mask_threshold": mask_threshold, + "overlap_mask_area_threshold": overlap_mask_area_threshold, + "subtask": subtask, + "threshold": threshold, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + output = ImageSegmentationOutputElement.parse_obj_as_list(response) + for item in output: + item.mask = _b64_to_image(item.mask) # type: ignore [assignment] + return output + + def image_to_image( + self, + image: ContentT, + prompt: Optional[str] = None, + *, + negative_prompt: Optional[str] = None, + num_inference_steps: Optional[int] = None, + guidance_scale: Optional[float] = None, + model: Optional[str] = None, + target_size: Optional[ImageToImageTargetSize] = None, + **kwargs, + ) -> "Image": + """ + Perform image-to-image translation using a specified model. + + + + You must have `PIL` installed if you want to work with images (`pip install Pillow`). + + + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The input image for translation. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + prompt (`str`, *optional*): + The text prompt to guide the image generation. + negative_prompt (`str`, *optional*): + One prompt to guide what NOT to include in image generation. + num_inference_steps (`int`, *optional*): + For diffusion models. The number of denoising steps. More denoising steps usually lead to a higher + quality image at the expense of slower inference. + guidance_scale (`float`, *optional*): + For diffusion models. A higher guidance scale value encourages the model to generate images closely + linked to the text prompt at the expense of lower image quality. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. This parameter overrides the model defined at the instance level. Defaults to None. + target_size (`ImageToImageTargetSize`, *optional*): + The size in pixel of the output image. + + Returns: + `Image`: The translated image. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> image = client.image_to_image("cat.jpg", prompt="turn the cat into a tiger") + >>> image.save("tiger.jpg") + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="image-to-image", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={ + "prompt": prompt, + "negative_prompt": negative_prompt, + "target_size": target_size, + "num_inference_steps": num_inference_steps, + "guidance_scale": guidance_scale, + **kwargs, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + response = provider_helper.get_response(response, request_parameters) + return _bytes_to_image(response) + + def image_to_video( + self, + image: ContentT, + *, + model: Optional[str] = None, + prompt: Optional[str] = None, + negative_prompt: Optional[str] = None, + num_frames: Optional[float] = None, + num_inference_steps: Optional[int] = None, + guidance_scale: Optional[float] = None, + seed: Optional[int] = None, + target_size: Optional[ImageToVideoTargetSize] = None, + **kwargs, + ) -> bytes: + """ + Generate a video from an input image. + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The input image to generate a video from. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. This parameter overrides the model defined at the instance level. Defaults to None. + prompt (`str`, *optional*): + The text prompt to guide the video generation. + negative_prompt (`str`, *optional*): + One prompt to guide what NOT to include in video generation. + num_frames (`float`, *optional*): + The num_frames parameter determines how many video frames are generated. + num_inference_steps (`int`, *optional*): + For diffusion models. The number of denoising steps. More denoising steps usually lead to a higher + quality image at the expense of slower inference. + guidance_scale (`float`, *optional*): + For diffusion models. A higher guidance scale value encourages the model to generate videos closely + linked to the text prompt at the expense of lower image quality. + seed (`int`, *optional*): + The seed to use for the video generation. + target_size (`ImageToVideoTargetSize`, *optional*): + The size in pixel of the output video frames. + num_inference_steps (`int`, *optional*): + The number of denoising steps. More denoising steps usually lead to a higher quality video at the + expense of slower inference. + seed (`int`, *optional*): + Seed for the random number generator. + + Returns: + `bytes`: The generated video. + + Examples: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> video = client.image_to_video("cat.jpg", model="Wan-AI/Wan2.2-I2V-A14B", prompt="turn the cat into a tiger") + >>> with open("tiger.mp4", "wb") as f: + ... f.write(video) + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="image-to-video", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={ + "prompt": prompt, + "negative_prompt": negative_prompt, + "num_frames": num_frames, + "num_inference_steps": num_inference_steps, + "guidance_scale": guidance_scale, + "seed": seed, + "target_size": target_size, + **kwargs, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + response = provider_helper.get_response(response, request_parameters) + return response + + def image_to_text(self, image: ContentT, *, model: Optional[str] = None) -> ImageToTextOutput: + """ + Takes an input image and return text. + + Models can have very different outputs depending on your use case (image captioning, optical character recognition + (OCR), Pix2Struct, etc). Please have a look to the model card to learn more about a model's specificities. + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The input image to caption. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. This parameter overrides the model defined at the instance level. Defaults to None. + + Returns: + [`ImageToTextOutput`]: The generated text. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.image_to_text("cat.jpg") + 'a cat standing in a grassy field ' + >>> client.image_to_text("https://upload.wikimedia.org/wikipedia/commons/thumb/4/43/Cute_dog.jpg/320px-Cute_dog.jpg") + 'a dog laying on the grass next to a flower pot ' + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="image-to-text", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + output = ImageToTextOutput.parse_obj(response) + return output[0] if isinstance(output, list) else output + + def object_detection( + self, image: ContentT, *, model: Optional[str] = None, threshold: Optional[float] = None + ) -> List[ObjectDetectionOutputElement]: + """ + Perform object detection on the given image using the specified model. + + + + You must have `PIL` installed if you want to work with images (`pip install Pillow`). + + + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The image to detect objects on. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + model (`str`, *optional*): + The model to use for object detection. Can be a model ID hosted on the Hugging Face Hub or a URL to a + deployed Inference Endpoint. If not provided, the default recommended model for object detection (DETR) will be used. + threshold (`float`, *optional*): + The probability necessary to make a prediction. + Returns: + `List[ObjectDetectionOutputElement]`: A list of [`ObjectDetectionOutputElement`] items containing the bounding boxes and associated attributes. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + `ValueError`: + If the request output is not a List. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.object_detection("people.jpg") + [ObjectDetectionOutputElement(score=0.9486683011054993, label='person', box=ObjectDetectionBoundingBox(xmin=59, ymin=39, xmax=420, ymax=510)), ...] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="object-detection", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={"threshold": threshold}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return ObjectDetectionOutputElement.parse_obj_as_list(response) + + def question_answering( + self, + question: str, + context: str, + *, + model: Optional[str] = None, + align_to_words: Optional[bool] = None, + doc_stride: Optional[int] = None, + handle_impossible_answer: Optional[bool] = None, + max_answer_len: Optional[int] = None, + max_question_len: Optional[int] = None, + max_seq_len: Optional[int] = None, + top_k: Optional[int] = None, + ) -> Union[QuestionAnsweringOutputElement, List[QuestionAnsweringOutputElement]]: + """ + Retrieve the answer to a question from a given text. + + Args: + question (`str`): + Question to be answered. + context (`str`): + The context of the question. + model (`str`): + The model to use for the question answering task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. + align_to_words (`bool`, *optional*): + Attempts to align the answer to real words. Improves quality on space separated languages. Might hurt + on non-space-separated languages (like Japanese or Chinese) + doc_stride (`int`, *optional*): + If the context is too long to fit with the question for the model, it will be split in several chunks + with some overlap. This argument controls the size of that overlap. + handle_impossible_answer (`bool`, *optional*): + Whether to accept impossible as an answer. + max_answer_len (`int`, *optional*): + The maximum length of predicted answers (e.g., only answers with a shorter length are considered). + max_question_len (`int`, *optional*): + The maximum length of the question after tokenization. It will be truncated if needed. + max_seq_len (`int`, *optional*): + The maximum length of the total sentence (context + question) in tokens of each chunk passed to the + model. The context will be split in several chunks (using docStride as overlap) if needed. + top_k (`int`, *optional*): + The number of answers to return (will be chosen by order of likelihood). Note that we return less than + topk answers if there are not enough options available within the context. + + Returns: + Union[`QuestionAnsweringOutputElement`, List[`QuestionAnsweringOutputElement`]]: + When top_k is 1 or not provided, it returns a single `QuestionAnsweringOutputElement`. + When top_k is greater than 1, it returns a list of `QuestionAnsweringOutputElement`. + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.question_answering(question="What's my name?", context="My name is Clara and I live in Berkeley.") + QuestionAnsweringOutputElement(answer='Clara', end=16, score=0.9326565265655518, start=11) + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="question-answering", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs={"question": question, "context": context}, + parameters={ + "align_to_words": align_to_words, + "doc_stride": doc_stride, + "handle_impossible_answer": handle_impossible_answer, + "max_answer_len": max_answer_len, + "max_question_len": max_question_len, + "max_seq_len": max_seq_len, + "top_k": top_k, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + # Parse the response as a single `QuestionAnsweringOutputElement` when top_k is 1 or not provided, or a list of `QuestionAnsweringOutputElement` to ensure backward compatibility. + output = QuestionAnsweringOutputElement.parse_obj(response) + return output + + def sentence_similarity( + self, sentence: str, other_sentences: List[str], *, model: Optional[str] = None + ) -> List[float]: + """ + Compute the semantic similarity between a sentence and a list of other sentences by comparing their embeddings. + + Args: + sentence (`str`): + The main sentence to compare to others. + other_sentences (`List[str]`): + The list of sentences to compare to. + model (`str`, *optional*): + The model to use for the sentence similarity task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended sentence similarity model will be used. + Defaults to None. + + Returns: + `List[float]`: The embedding representing the input text. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.sentence_similarity( + ... "Machine learning is so easy.", + ... other_sentences=[ + ... "Deep learning is so straightforward.", + ... "This is so difficult, like rocket science.", + ... "I can't believe how much I struggled with this.", + ... ], + ... ) + [0.7785726189613342, 0.45876261591911316, 0.2906220555305481] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="sentence-similarity", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs={"source_sentence": sentence, "sentences": other_sentences}, + parameters={}, + extra_payload={}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return _bytes_to_list(response) + + def summarization( + self, + text: str, + *, + model: Optional[str] = None, + clean_up_tokenization_spaces: Optional[bool] = None, + generate_parameters: Optional[Dict[str, Any]] = None, + truncation: Optional["SummarizationTruncationStrategy"] = None, + ) -> SummarizationOutput: + """ + Generate a summary of a given text using a specified model. + + Args: + text (`str`): + The input text to summarize. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. If not provided, the default recommended model for summarization will be used. + clean_up_tokenization_spaces (`bool`, *optional*): + Whether to clean up the potential extra spaces in the text output. + generate_parameters (`Dict[str, Any]`, *optional*): + Additional parametrization of the text generation algorithm. + truncation (`"SummarizationTruncationStrategy"`, *optional*): + The truncation strategy to use. + Returns: + [`SummarizationOutput`]: The generated summary text. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.summarization("The Eiffel tower...") + SummarizationOutput(generated_text="The Eiffel tower is one of the most famous landmarks in the world....") + ``` + """ + parameters = { + "clean_up_tokenization_spaces": clean_up_tokenization_spaces, + "generate_parameters": generate_parameters, + "truncation": truncation, + } + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="summarization", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters=parameters, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return SummarizationOutput.parse_obj_as_list(response)[0] + + def table_question_answering( + self, + table: Dict[str, Any], + query: str, + *, + model: Optional[str] = None, + padding: Optional["Padding"] = None, + sequential: Optional[bool] = None, + truncation: Optional[bool] = None, + ) -> TableQuestionAnsweringOutputElement: + """ + Retrieve the answer to a question from information given in a table. + + Args: + table (`str`): + A table of data represented as a dict of lists where entries are headers and the lists are all the + values, all lists must have the same size. + query (`str`): + The query in plain text that you want to ask the table. + model (`str`): + The model to use for the table-question-answering task. Can be a model ID hosted on the Hugging Face + Hub or a URL to a deployed Inference Endpoint. + padding (`"Padding"`, *optional*): + Activates and controls padding. + sequential (`bool`, *optional*): + Whether to do inference sequentially or as a batch. Batching is faster, but models like SQA require the + inference to be done sequentially to extract relations within sequences, given their conversational + nature. + truncation (`bool`, *optional*): + Activates and controls truncation. + + Returns: + [`TableQuestionAnsweringOutputElement`]: a table question answering output containing the answer, coordinates, cells and the aggregator used. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> query = "How many stars does the transformers repository have?" + >>> table = {"Repository": ["Transformers", "Datasets", "Tokenizers"], "Stars": ["36542", "4512", "3934"]} + >>> client.table_question_answering(table, query, model="google/tapas-base-finetuned-wtq") + TableQuestionAnsweringOutputElement(answer='36542', coordinates=[[0, 1]], cells=['36542'], aggregator='AVERAGE') + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="table-question-answering", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs={"query": query, "table": table}, + parameters={"model": model, "padding": padding, "sequential": sequential, "truncation": truncation}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return TableQuestionAnsweringOutputElement.parse_obj_as_instance(response) + + def tabular_classification(self, table: Dict[str, Any], *, model: Optional[str] = None) -> List[str]: + """ + Classifying a target category (a group) based on a set of attributes. + + Args: + table (`Dict[str, Any]`): + Set of attributes to classify. + model (`str`, *optional*): + The model to use for the tabular classification task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended tabular classification model will be used. + Defaults to None. + + Returns: + `List`: a list of labels, one per row in the initial table. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> table = { + ... "fixed_acidity": ["7.4", "7.8", "10.3"], + ... "volatile_acidity": ["0.7", "0.88", "0.32"], + ... "citric_acid": ["0", "0", "0.45"], + ... "residual_sugar": ["1.9", "2.6", "6.4"], + ... "chlorides": ["0.076", "0.098", "0.073"], + ... "free_sulfur_dioxide": ["11", "25", "5"], + ... "total_sulfur_dioxide": ["34", "67", "13"], + ... "density": ["0.9978", "0.9968", "0.9976"], + ... "pH": ["3.51", "3.2", "3.23"], + ... "sulphates": ["0.56", "0.68", "0.82"], + ... "alcohol": ["9.4", "9.8", "12.6"], + ... } + >>> client.tabular_classification(table=table, model="julien-c/wine-quality") + ["5", "5", "5"] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="tabular-classification", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=None, + extra_payload={"table": table}, + parameters={}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return _bytes_to_list(response) + + def tabular_regression(self, table: Dict[str, Any], *, model: Optional[str] = None) -> List[float]: + """ + Predicting a numerical target value given a set of attributes/features in a table. + + Args: + table (`Dict[str, Any]`): + Set of attributes stored in a table. The attributes used to predict the target can be both numerical and categorical. + model (`str`, *optional*): + The model to use for the tabular regression task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended tabular regression model will be used. + Defaults to None. + + Returns: + `List`: a list of predicted numerical target values. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> table = { + ... "Height": ["11.52", "12.48", "12.3778"], + ... "Length1": ["23.2", "24", "23.9"], + ... "Length2": ["25.4", "26.3", "26.5"], + ... "Length3": ["30", "31.2", "31.1"], + ... "Species": ["Bream", "Bream", "Bream"], + ... "Width": ["4.02", "4.3056", "4.6961"], + ... } + >>> client.tabular_regression(table, model="scikit-learn/Fish-Weight") + [110, 120, 130] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="tabular-regression", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=None, + parameters={}, + extra_payload={"table": table}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return _bytes_to_list(response) + + def text_classification( + self, + text: str, + *, + model: Optional[str] = None, + top_k: Optional[int] = None, + function_to_apply: Optional["TextClassificationOutputTransform"] = None, + ) -> List[TextClassificationOutputElement]: + """ + Perform text classification (e.g. sentiment-analysis) on the given text. + + Args: + text (`str`): + A string to be classified. + model (`str`, *optional*): + The model to use for the text classification task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended text classification model will be used. + Defaults to None. + top_k (`int`, *optional*): + When specified, limits the output to the top K most probable classes. + function_to_apply (`"TextClassificationOutputTransform"`, *optional*): + The function to apply to the model outputs in order to retrieve the scores. + + Returns: + `List[TextClassificationOutputElement]`: a list of [`TextClassificationOutputElement`] items containing the predicted label and associated probability. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.text_classification("I like you") + [ + TextClassificationOutputElement(label='POSITIVE', score=0.9998695850372314), + TextClassificationOutputElement(label='NEGATIVE', score=0.0001304351753788069), + ] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="text-classification", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters={ + "function_to_apply": function_to_apply, + "top_k": top_k, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return TextClassificationOutputElement.parse_obj_as_list(response)[0] # type: ignore [return-value] + + @overload + def text_generation( + self, + prompt: str, + *, + details: Literal[True], + stream: Literal[True], + model: Optional[str] = None, + # Parameters from `TextGenerationInputGenerateParameters` (maintained manually) + adapter_id: Optional[str] = None, + best_of: Optional[int] = None, + decoder_input_details: Optional[bool] = None, + do_sample: Optional[bool] = None, + frequency_penalty: Optional[float] = None, + grammar: Optional[TextGenerationInputGrammarType] = None, + max_new_tokens: Optional[int] = None, + repetition_penalty: Optional[float] = None, + return_full_text: Optional[bool] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stop_sequences: Optional[List[str]] = None, # Deprecated, use `stop` instead + temperature: Optional[float] = None, + top_k: Optional[int] = None, + top_n_tokens: Optional[int] = None, + top_p: Optional[float] = None, + truncate: Optional[int] = None, + typical_p: Optional[float] = None, + watermark: Optional[bool] = None, + ) -> Iterable[TextGenerationStreamOutput]: ... + + @overload + def text_generation( + self, + prompt: str, + *, + details: Literal[True], + stream: Optional[Literal[False]] = None, + model: Optional[str] = None, + # Parameters from `TextGenerationInputGenerateParameters` (maintained manually) + adapter_id: Optional[str] = None, + best_of: Optional[int] = None, + decoder_input_details: Optional[bool] = None, + do_sample: Optional[bool] = None, + frequency_penalty: Optional[float] = None, + grammar: Optional[TextGenerationInputGrammarType] = None, + max_new_tokens: Optional[int] = None, + repetition_penalty: Optional[float] = None, + return_full_text: Optional[bool] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stop_sequences: Optional[List[str]] = None, # Deprecated, use `stop` instead + temperature: Optional[float] = None, + top_k: Optional[int] = None, + top_n_tokens: Optional[int] = None, + top_p: Optional[float] = None, + truncate: Optional[int] = None, + typical_p: Optional[float] = None, + watermark: Optional[bool] = None, + ) -> TextGenerationOutput: ... + + @overload + def text_generation( + self, + prompt: str, + *, + details: Optional[Literal[False]] = None, + stream: Literal[True], + model: Optional[str] = None, + # Parameters from `TextGenerationInputGenerateParameters` (maintained manually) + adapter_id: Optional[str] = None, + best_of: Optional[int] = None, + decoder_input_details: Optional[bool] = None, + do_sample: Optional[bool] = None, + frequency_penalty: Optional[float] = None, + grammar: Optional[TextGenerationInputGrammarType] = None, + max_new_tokens: Optional[int] = None, + repetition_penalty: Optional[float] = None, + return_full_text: Optional[bool] = None, # Manual default value + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stop_sequences: Optional[List[str]] = None, # Deprecated, use `stop` instead + temperature: Optional[float] = None, + top_k: Optional[int] = None, + top_n_tokens: Optional[int] = None, + top_p: Optional[float] = None, + truncate: Optional[int] = None, + typical_p: Optional[float] = None, + watermark: Optional[bool] = None, + ) -> Iterable[str]: ... + + @overload + def text_generation( + self, + prompt: str, + *, + details: Optional[Literal[False]] = None, + stream: Optional[Literal[False]] = None, + model: Optional[str] = None, + # Parameters from `TextGenerationInputGenerateParameters` (maintained manually) + adapter_id: Optional[str] = None, + best_of: Optional[int] = None, + decoder_input_details: Optional[bool] = None, + do_sample: Optional[bool] = None, + frequency_penalty: Optional[float] = None, + grammar: Optional[TextGenerationInputGrammarType] = None, + max_new_tokens: Optional[int] = None, + repetition_penalty: Optional[float] = None, + return_full_text: Optional[bool] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stop_sequences: Optional[List[str]] = None, # Deprecated, use `stop` instead + temperature: Optional[float] = None, + top_k: Optional[int] = None, + top_n_tokens: Optional[int] = None, + top_p: Optional[float] = None, + truncate: Optional[int] = None, + typical_p: Optional[float] = None, + watermark: Optional[bool] = None, + ) -> str: ... + + @overload + def text_generation( + self, + prompt: str, + *, + details: Optional[bool] = None, + stream: Optional[bool] = None, + model: Optional[str] = None, + # Parameters from `TextGenerationInputGenerateParameters` (maintained manually) + adapter_id: Optional[str] = None, + best_of: Optional[int] = None, + decoder_input_details: Optional[bool] = None, + do_sample: Optional[bool] = None, + frequency_penalty: Optional[float] = None, + grammar: Optional[TextGenerationInputGrammarType] = None, + max_new_tokens: Optional[int] = None, + repetition_penalty: Optional[float] = None, + return_full_text: Optional[bool] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stop_sequences: Optional[List[str]] = None, # Deprecated, use `stop` instead + temperature: Optional[float] = None, + top_k: Optional[int] = None, + top_n_tokens: Optional[int] = None, + top_p: Optional[float] = None, + truncate: Optional[int] = None, + typical_p: Optional[float] = None, + watermark: Optional[bool] = None, + ) -> Union[str, TextGenerationOutput, Iterable[str], Iterable[TextGenerationStreamOutput]]: ... + + def text_generation( + self, + prompt: str, + *, + details: Optional[bool] = None, + stream: Optional[bool] = None, + model: Optional[str] = None, + # Parameters from `TextGenerationInputGenerateParameters` (maintained manually) + adapter_id: Optional[str] = None, + best_of: Optional[int] = None, + decoder_input_details: Optional[bool] = None, + do_sample: Optional[bool] = None, + frequency_penalty: Optional[float] = None, + grammar: Optional[TextGenerationInputGrammarType] = None, + max_new_tokens: Optional[int] = None, + repetition_penalty: Optional[float] = None, + return_full_text: Optional[bool] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stop_sequences: Optional[List[str]] = None, # Deprecated, use `stop` instead + temperature: Optional[float] = None, + top_k: Optional[int] = None, + top_n_tokens: Optional[int] = None, + top_p: Optional[float] = None, + truncate: Optional[int] = None, + typical_p: Optional[float] = None, + watermark: Optional[bool] = None, + ) -> Union[str, TextGenerationOutput, Iterable[str], Iterable[TextGenerationStreamOutput]]: + """ + Given a prompt, generate the following text. + + + + If you want to generate a response from chat messages, you should use the [`InferenceClient.chat_completion`] method. + It accepts a list of messages instead of a single text prompt and handles the chat templating for you. + + + + Args: + prompt (`str`): + Input text. + details (`bool`, *optional*): + By default, text_generation returns a string. Pass `details=True` if you want a detailed output (tokens, + probabilities, seed, finish reason, etc.). Only available for models running on with the + `text-generation-inference` backend. + stream (`bool`, *optional*): + By default, text_generation returns the full generated text. Pass `stream=True` if you want a stream of + tokens to be returned. Only available for models running on with the `text-generation-inference` + backend. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. This parameter overrides the model defined at the instance level. Defaults to None. + adapter_id (`str`, *optional*): + Lora adapter id. + best_of (`int`, *optional*): + Generate best_of sequences and return the one if the highest token logprobs. + decoder_input_details (`bool`, *optional*): + Return the decoder input token logprobs and ids. You must set `details=True` as well for it to be taken + into account. Defaults to `False`. + do_sample (`bool`, *optional*): + Activate logits sampling + frequency_penalty (`float`, *optional*): + Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in + the text so far, decreasing the model's likelihood to repeat the same line verbatim. + grammar ([`TextGenerationInputGrammarType`], *optional*): + Grammar constraints. Can be either a JSONSchema or a regex. + max_new_tokens (`int`, *optional*): + Maximum number of generated tokens. Defaults to 100. + repetition_penalty (`float`, *optional*): + The parameter for repetition penalty. 1.0 means no penalty. See [this + paper](https://arxiv.org/pdf/1909.05858.pdf) for more details. + return_full_text (`bool`, *optional*): + Whether to prepend the prompt to the generated text + seed (`int`, *optional*): + Random sampling seed + stop (`List[str]`, *optional*): + Stop generating tokens if a member of `stop` is generated. + stop_sequences (`List[str]`, *optional*): + Deprecated argument. Use `stop` instead. + temperature (`float`, *optional*): + The value used to module the logits distribution. + top_n_tokens (`int`, *optional*): + Return information about the `top_n_tokens` most likely tokens at each generation step, instead of + just the sampled token. + top_k (`int`, *optional`): + The number of highest probability vocabulary tokens to keep for top-k-filtering. + top_p (`float`, *optional`): + If set to < 1, only the smallest set of most probable tokens with probabilities that add up to `top_p` or + higher are kept for generation. + truncate (`int`, *optional`): + Truncate inputs tokens to the given size. + typical_p (`float`, *optional`): + Typical Decoding mass + See [Typical Decoding for Natural Language Generation](https://arxiv.org/abs/2202.00666) for more information + watermark (`bool`, *optional*): + Watermarking with [A Watermark for Large Language Models](https://arxiv.org/abs/2301.10226) + + Returns: + `Union[str, TextGenerationOutput, Iterable[str], Iterable[TextGenerationStreamOutput]]`: + Generated text returned from the server: + - if `stream=False` and `details=False`, the generated text is returned as a `str` (default) + - if `stream=True` and `details=False`, the generated text is returned token by token as a `Iterable[str]` + - if `stream=False` and `details=True`, the generated text is returned with more details as a [`~huggingface_hub.TextGenerationOutput`] + - if `details=True` and `stream=True`, the generated text is returned token by token as a iterable of [`~huggingface_hub.TextGenerationStreamOutput`] + + Raises: + `ValidationError`: + If input values are not valid. No HTTP call is made to the server. + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + + # Case 1: generate text + >>> client.text_generation("The huggingface_hub library is ", max_new_tokens=12) + '100% open source and built to be easy to use.' + + # Case 2: iterate over the generated tokens. Useful for large generation. + >>> for token in client.text_generation("The huggingface_hub library is ", max_new_tokens=12, stream=True): + ... print(token) + 100 + % + open + source + and + built + to + be + easy + to + use + . + + # Case 3: get more details about the generation process. + >>> client.text_generation("The huggingface_hub library is ", max_new_tokens=12, details=True) + TextGenerationOutput( + generated_text='100% open source and built to be easy to use.', + details=TextGenerationDetails( + finish_reason='length', + generated_tokens=12, + seed=None, + prefill=[ + TextGenerationPrefillOutputToken(id=487, text='The', logprob=None), + TextGenerationPrefillOutputToken(id=53789, text=' hugging', logprob=-13.171875), + (...) + TextGenerationPrefillOutputToken(id=204, text=' ', logprob=-7.0390625) + ], + tokens=[ + TokenElement(id=1425, text='100', logprob=-1.0175781, special=False), + TokenElement(id=16, text='%', logprob=-0.0463562, special=False), + (...) + TokenElement(id=25, text='.', logprob=-0.5703125, special=False) + ], + best_of_sequences=None + ) + ) + + # Case 4: iterate over the generated tokens with more details. + # Last object is more complete, containing the full generated text and the finish reason. + >>> for details in client.text_generation("The huggingface_hub library is ", max_new_tokens=12, details=True, stream=True): + ... print(details) + ... + TextGenerationStreamOutput(token=TokenElement(id=1425, text='100', logprob=-1.0175781, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=16, text='%', logprob=-0.0463562, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=1314, text=' open', logprob=-1.3359375, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=3178, text=' source', logprob=-0.28100586, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=273, text=' and', logprob=-0.5961914, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=3426, text=' built', logprob=-1.9423828, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=271, text=' to', logprob=-1.4121094, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=314, text=' be', logprob=-1.5224609, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=1833, text=' easy', logprob=-2.1132812, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=271, text=' to', logprob=-0.08520508, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=745, text=' use', logprob=-0.39453125, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement( + id=25, + text='.', + logprob=-0.5703125, + special=False), + generated_text='100% open source and built to be easy to use.', + details=TextGenerationStreamOutputStreamDetails(finish_reason='length', generated_tokens=12, seed=None) + ) + + # Case 5: generate constrained output using grammar + >>> response = client.text_generation( + ... prompt="I saw a puppy a cat and a raccoon during my bike ride in the park", + ... model="HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1", + ... max_new_tokens=100, + ... repetition_penalty=1.3, + ... grammar={ + ... "type": "json", + ... "value": { + ... "properties": { + ... "location": {"type": "string"}, + ... "activity": {"type": "string"}, + ... "animals_seen": {"type": "integer", "minimum": 1, "maximum": 5}, + ... "animals": {"type": "array", "items": {"type": "string"}}, + ... }, + ... "required": ["location", "activity", "animals_seen", "animals"], + ... }, + ... }, + ... ) + >>> json.loads(response) + { + "activity": "bike riding", + "animals": ["puppy", "cat", "raccoon"], + "animals_seen": 3, + "location": "park" + } + ``` + """ + if decoder_input_details and not details: + warnings.warn( + "`decoder_input_details=True` has been passed to the server but `details=False` is set meaning that" + " the output from the server will be truncated." + ) + decoder_input_details = False + + if stop_sequences is not None: + warnings.warn( + "`stop_sequences` is a deprecated argument for `text_generation` task" + " and will be removed in version '0.28.0'. Use `stop` instead.", + FutureWarning, + ) + if stop is None: + stop = stop_sequences # use deprecated arg if provided + + # Build payload + parameters = { + "adapter_id": adapter_id, + "best_of": best_of, + "decoder_input_details": decoder_input_details, + "details": details, + "do_sample": do_sample, + "frequency_penalty": frequency_penalty, + "grammar": grammar, + "max_new_tokens": max_new_tokens, + "repetition_penalty": repetition_penalty, + "return_full_text": return_full_text, + "seed": seed, + "stop": stop, + "temperature": temperature, + "top_k": top_k, + "top_n_tokens": top_n_tokens, + "top_p": top_p, + "truncate": truncate, + "typical_p": typical_p, + "watermark": watermark, + } + + # Remove some parameters if not a TGI server + unsupported_kwargs = _get_unsupported_text_generation_kwargs(model) + if len(unsupported_kwargs) > 0: + # The server does not support some parameters + # => means it is not a TGI server + # => remove unsupported parameters and warn the user + + ignored_parameters = [] + for key in unsupported_kwargs: + if parameters.get(key): + ignored_parameters.append(key) + parameters.pop(key, None) + if len(ignored_parameters) > 0: + warnings.warn( + "API endpoint/model for text-generation is not served via TGI. Ignoring following parameters:" + f" {', '.join(ignored_parameters)}.", + UserWarning, + ) + if details: + warnings.warn( + "API endpoint/model for text-generation is not served via TGI. Parameter `details=True` will" + " be ignored meaning only the generated text will be returned.", + UserWarning, + ) + details = False + if stream: + raise ValueError( + "API endpoint/model for text-generation is not served via TGI. Cannot return output as a stream." + " Please pass `stream=False` as input." + ) + + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="text-generation", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=prompt, + parameters=parameters, + extra_payload={"stream": stream}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + + # Handle errors separately for more precise error messages + try: + bytes_output = self._inner_post(request_parameters, stream=stream or False) + except HTTPError as e: + match = MODEL_KWARGS_NOT_USED_REGEX.search(str(e)) + if isinstance(e, BadRequestError) and match: + unused_params = [kwarg.strip("' ") for kwarg in match.group(1).split(",")] + _set_unsupported_text_generation_kwargs(model, unused_params) + return self.text_generation( # type: ignore + prompt=prompt, + details=details, + stream=stream, + model=model_id, + adapter_id=adapter_id, + best_of=best_of, + decoder_input_details=decoder_input_details, + do_sample=do_sample, + frequency_penalty=frequency_penalty, + grammar=grammar, + max_new_tokens=max_new_tokens, + repetition_penalty=repetition_penalty, + return_full_text=return_full_text, + seed=seed, + stop=stop, + temperature=temperature, + top_k=top_k, + top_n_tokens=top_n_tokens, + top_p=top_p, + truncate=truncate, + typical_p=typical_p, + watermark=watermark, + ) + raise_text_generation_error(e) + + # Parse output + if stream: + return _stream_text_generation_response(bytes_output, details) # type: ignore + + data = _bytes_to_dict(bytes_output) # type: ignore[arg-type] + + # Data can be a single element (dict) or an iterable of dicts where we select the first element of. + if isinstance(data, list): + data = data[0] + response = provider_helper.get_response(data, request_parameters) + return TextGenerationOutput.parse_obj_as_instance(response) if details else response["generated_text"] + + def text_to_image( + self, + prompt: str, + *, + negative_prompt: Optional[str] = None, + height: Optional[int] = None, + width: Optional[int] = None, + num_inference_steps: Optional[int] = None, + guidance_scale: Optional[float] = None, + model: Optional[str] = None, + scheduler: Optional[str] = None, + seed: Optional[int] = None, + extra_body: Optional[Dict[str, Any]] = None, + ) -> "Image": + """ + Generate an image based on a given text using a specified model. + + + + You must have `PIL` installed if you want to work with images (`pip install Pillow`). + + + + + You can pass provider-specific parameters to the model by using the `extra_body` argument. + + + Args: + prompt (`str`): + The prompt to generate an image from. + negative_prompt (`str`, *optional*): + One prompt to guide what NOT to include in image generation. + height (`int`, *optional*): + The height in pixels of the output image + width (`int`, *optional*): + The width in pixels of the output image + num_inference_steps (`int`, *optional*): + The number of denoising steps. More denoising steps usually lead to a higher quality image at the + expense of slower inference. + guidance_scale (`float`, *optional*): + A higher guidance scale value encourages the model to generate images closely linked to the text + prompt, but values too high may cause saturation and other artifacts. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. If not provided, the default recommended text-to-image model will be used. + Defaults to None. + scheduler (`str`, *optional*): + Override the scheduler with a compatible one. + seed (`int`, *optional*): + Seed for the random number generator. + extra_body (`Dict[str, Any]`, *optional*): + Additional provider-specific parameters to pass to the model. Refer to the provider's documentation + for supported parameters. + + Returns: + `Image`: The generated image. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + + >>> image = client.text_to_image("An astronaut riding a horse on the moon.") + >>> image.save("astronaut.png") + + >>> image = client.text_to_image( + ... "An astronaut riding a horse on the moon.", + ... negative_prompt="low resolution, blurry", + ... model="stabilityai/stable-diffusion-2-1", + ... ) + >>> image.save("better_astronaut.png") + ``` + Example using a third-party provider directly. Usage will be billed on your fal.ai account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="fal-ai", # Use fal.ai provider + ... api_key="fal-ai-api-key", # Pass your fal.ai API key + ... ) + >>> image = client.text_to_image( + ... "A majestic lion in a fantasy forest", + ... model="black-forest-labs/FLUX.1-schnell", + ... ) + >>> image.save("lion.png") + ``` + + Example using a third-party provider through Hugging Face Routing. Usage will be billed on your Hugging Face account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="replicate", # Use replicate provider + ... api_key="hf_...", # Pass your HF token + ... ) + >>> image = client.text_to_image( + ... "An astronaut riding a horse on the moon.", + ... model="black-forest-labs/FLUX.1-dev", + ... ) + >>> image.save("astronaut.png") + ``` + + Example using Replicate provider with extra parameters + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="replicate", # Use replicate provider + ... api_key="hf_...", # Pass your HF token + ... ) + >>> image = client.text_to_image( + ... "An astronaut riding a horse on the moon.", + ... model="black-forest-labs/FLUX.1-schnell", + ... extra_body={"output_quality": 100}, + ... ) + >>> image.save("astronaut.png") + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="text-to-image", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=prompt, + parameters={ + "negative_prompt": negative_prompt, + "height": height, + "width": width, + "num_inference_steps": num_inference_steps, + "guidance_scale": guidance_scale, + "scheduler": scheduler, + "seed": seed, + **(extra_body or {}), + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + response = provider_helper.get_response(response) + return _bytes_to_image(response) + + def text_to_video( + self, + prompt: str, + *, + model: Optional[str] = None, + guidance_scale: Optional[float] = None, + negative_prompt: Optional[List[str]] = None, + num_frames: Optional[float] = None, + num_inference_steps: Optional[int] = None, + seed: Optional[int] = None, + extra_body: Optional[Dict[str, Any]] = None, + ) -> bytes: + """ + Generate a video based on a given text. + + + You can pass provider-specific parameters to the model by using the `extra_body` argument. + + + Args: + prompt (`str`): + The prompt to generate a video from. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. If not provided, the default recommended text-to-video model will be used. + Defaults to None. + guidance_scale (`float`, *optional*): + A higher guidance scale value encourages the model to generate videos closely linked to the text + prompt, but values too high may cause saturation and other artifacts. + negative_prompt (`List[str]`, *optional*): + One or several prompt to guide what NOT to include in video generation. + num_frames (`float`, *optional*): + The num_frames parameter determines how many video frames are generated. + num_inference_steps (`int`, *optional*): + The number of denoising steps. More denoising steps usually lead to a higher quality video at the + expense of slower inference. + seed (`int`, *optional*): + Seed for the random number generator. + extra_body (`Dict[str, Any]`, *optional*): + Additional provider-specific parameters to pass to the model. Refer to the provider's documentation + for supported parameters. + + Returns: + `bytes`: The generated video. + + Example: + + Example using a third-party provider directly. Usage will be billed on your fal.ai account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="fal-ai", # Using fal.ai provider + ... api_key="fal-ai-api-key", # Pass your fal.ai API key + ... ) + >>> video = client.text_to_video( + ... "A majestic lion running in a fantasy forest", + ... model="tencent/HunyuanVideo", + ... ) + >>> with open("lion.mp4", "wb") as file: + ... file.write(video) + ``` + + Example using a third-party provider through Hugging Face Routing. Usage will be billed on your Hugging Face account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="replicate", # Using replicate provider + ... api_key="hf_...", # Pass your HF token + ... ) + >>> video = client.text_to_video( + ... "A cat running in a park", + ... model="genmo/mochi-1-preview", + ... ) + >>> with open("cat.mp4", "wb") as file: + ... file.write(video) + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="text-to-video", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=prompt, + parameters={ + "guidance_scale": guidance_scale, + "negative_prompt": negative_prompt, + "num_frames": num_frames, + "num_inference_steps": num_inference_steps, + "seed": seed, + **(extra_body or {}), + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + response = provider_helper.get_response(response, request_parameters) + return response + + def text_to_speech( + self, + text: str, + *, + model: Optional[str] = None, + do_sample: Optional[bool] = None, + early_stopping: Optional[Union[bool, "TextToSpeechEarlyStoppingEnum"]] = None, + epsilon_cutoff: Optional[float] = None, + eta_cutoff: Optional[float] = None, + max_length: Optional[int] = None, + max_new_tokens: Optional[int] = None, + min_length: Optional[int] = None, + min_new_tokens: Optional[int] = None, + num_beam_groups: Optional[int] = None, + num_beams: Optional[int] = None, + penalty_alpha: Optional[float] = None, + temperature: Optional[float] = None, + top_k: Optional[int] = None, + top_p: Optional[float] = None, + typical_p: Optional[float] = None, + use_cache: Optional[bool] = None, + extra_body: Optional[Dict[str, Any]] = None, + ) -> bytes: + """ + Synthesize an audio of a voice pronouncing a given text. + + + You can pass provider-specific parameters to the model by using the `extra_body` argument. + + + Args: + text (`str`): + The text to synthesize. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. If not provided, the default recommended text-to-speech model will be used. + Defaults to None. + do_sample (`bool`, *optional*): + Whether to use sampling instead of greedy decoding when generating new tokens. + early_stopping (`Union[bool, "TextToSpeechEarlyStoppingEnum"]`, *optional*): + Controls the stopping condition for beam-based methods. + epsilon_cutoff (`float`, *optional*): + If set to float strictly between 0 and 1, only tokens with a conditional probability greater than + epsilon_cutoff will be sampled. In the paper, suggested values range from 3e-4 to 9e-4, depending on + the size of the model. See [Truncation Sampling as Language Model + Desmoothing](https://hf.co/papers/2210.15191) for more details. + eta_cutoff (`float`, *optional*): + Eta sampling is a hybrid of locally typical sampling and epsilon sampling. If set to float strictly + between 0 and 1, a token is only considered if it is greater than either eta_cutoff or sqrt(eta_cutoff) + * exp(-entropy(softmax(next_token_logits))). The latter term is intuitively the expected next token + probability, scaled by sqrt(eta_cutoff). In the paper, suggested values range from 3e-4 to 2e-3, + depending on the size of the model. See [Truncation Sampling as Language Model + Desmoothing](https://hf.co/papers/2210.15191) for more details. + max_length (`int`, *optional*): + The maximum length (in tokens) of the generated text, including the input. + max_new_tokens (`int`, *optional*): + The maximum number of tokens to generate. Takes precedence over max_length. + min_length (`int`, *optional*): + The minimum length (in tokens) of the generated text, including the input. + min_new_tokens (`int`, *optional*): + The minimum number of tokens to generate. Takes precedence over min_length. + num_beam_groups (`int`, *optional*): + Number of groups to divide num_beams into in order to ensure diversity among different groups of beams. + See [this paper](https://hf.co/papers/1610.02424) for more details. + num_beams (`int`, *optional*): + Number of beams to use for beam search. + penalty_alpha (`float`, *optional*): + The value balances the model confidence and the degeneration penalty in contrastive search decoding. + temperature (`float`, *optional*): + The value used to modulate the next token probabilities. + top_k (`int`, *optional*): + The number of highest probability vocabulary tokens to keep for top-k-filtering. + top_p (`float`, *optional*): + If set to float < 1, only the smallest set of most probable tokens with probabilities that add up to + top_p or higher are kept for generation. + typical_p (`float`, *optional*): + Local typicality measures how similar the conditional probability of predicting a target token next is + to the expected conditional probability of predicting a random token next, given the partial text + already generated. If set to float < 1, the smallest set of the most locally typical tokens with + probabilities that add up to typical_p or higher are kept for generation. See [this + paper](https://hf.co/papers/2202.00666) for more details. + use_cache (`bool`, *optional*): + Whether the model should use the past last key/values attentions to speed up decoding + extra_body (`Dict[str, Any]`, *optional*): + Additional provider-specific parameters to pass to the model. Refer to the provider's documentation + for supported parameters. + Returns: + `bytes`: The generated audio. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from pathlib import Path + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + + >>> audio = client.text_to_speech("Hello world") + >>> Path("hello_world.flac").write_bytes(audio) + ``` + + Example using a third-party provider directly. Usage will be billed on your Replicate account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="replicate", + ... api_key="your-replicate-api-key", # Pass your Replicate API key directly + ... ) + >>> audio = client.text_to_speech( + ... text="Hello world", + ... model="OuteAI/OuteTTS-0.3-500M", + ... ) + >>> Path("hello_world.flac").write_bytes(audio) + ``` + + Example using a third-party provider through Hugging Face Routing. Usage will be billed on your Hugging Face account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="replicate", + ... api_key="hf_...", # Pass your HF token + ... ) + >>> audio =client.text_to_speech( + ... text="Hello world", + ... model="OuteAI/OuteTTS-0.3-500M", + ... ) + >>> Path("hello_world.flac").write_bytes(audio) + ``` + Example using Replicate provider with extra parameters + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="replicate", # Use replicate provider + ... api_key="hf_...", # Pass your HF token + ... ) + >>> audio = client.text_to_speech( + ... "Hello, my name is Kororo, an awesome text-to-speech model.", + ... model="hexgrad/Kokoro-82M", + ... extra_body={"voice": "af_nicole"}, + ... ) + >>> Path("hello.flac").write_bytes(audio) + ``` + + Example music-gen using "YuE-s1-7B-anneal-en-cot" on fal.ai + ```py + >>> from huggingface_hub import InferenceClient + >>> lyrics = ''' + ... [verse] + ... In the town where I was born + ... Lived a man who sailed to sea + ... And he told us of his life + ... In the land of submarines + ... So we sailed on to the sun + ... 'Til we found a sea of green + ... And we lived beneath the waves + ... In our yellow submarine + + ... [chorus] + ... We all live in a yellow submarine + ... Yellow submarine, yellow submarine + ... We all live in a yellow submarine + ... Yellow submarine, yellow submarine + ... ''' + >>> genres = "pavarotti-style tenor voice" + >>> client = InferenceClient( + ... provider="fal-ai", + ... model="m-a-p/YuE-s1-7B-anneal-en-cot", + ... api_key=..., + ... ) + >>> audio = client.text_to_speech(lyrics, extra_body={"genres": genres}) + >>> with open("output.mp3", "wb") as f: + ... f.write(audio) + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="text-to-speech", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters={ + "do_sample": do_sample, + "early_stopping": early_stopping, + "epsilon_cutoff": epsilon_cutoff, + "eta_cutoff": eta_cutoff, + "max_length": max_length, + "max_new_tokens": max_new_tokens, + "min_length": min_length, + "min_new_tokens": min_new_tokens, + "num_beam_groups": num_beam_groups, + "num_beams": num_beams, + "penalty_alpha": penalty_alpha, + "temperature": temperature, + "top_k": top_k, + "top_p": top_p, + "typical_p": typical_p, + "use_cache": use_cache, + **(extra_body or {}), + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + response = provider_helper.get_response(response) + return response + + def token_classification( + self, + text: str, + *, + model: Optional[str] = None, + aggregation_strategy: Optional["TokenClassificationAggregationStrategy"] = None, + ignore_labels: Optional[List[str]] = None, + stride: Optional[int] = None, + ) -> List[TokenClassificationOutputElement]: + """ + Perform token classification on the given text. + Usually used for sentence parsing, either grammatical, or Named Entity Recognition (NER) to understand keywords contained within text. + + Args: + text (`str`): + A string to be classified. + model (`str`, *optional*): + The model to use for the token classification task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended token classification model will be used. + Defaults to None. + aggregation_strategy (`"TokenClassificationAggregationStrategy"`, *optional*): + The strategy used to fuse tokens based on model predictions + ignore_labels (`List[str`, *optional*): + A list of labels to ignore + stride (`int`, *optional*): + The number of overlapping tokens between chunks when splitting the input text. + + Returns: + `List[TokenClassificationOutputElement]`: List of [`TokenClassificationOutputElement`] items containing the entity group, confidence score, word, start and end index. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.token_classification("My name is Sarah Jessica Parker but you can call me Jessica") + [ + TokenClassificationOutputElement( + entity_group='PER', + score=0.9971321225166321, + word='Sarah Jessica Parker', + start=11, + end=31, + ), + TokenClassificationOutputElement( + entity_group='PER', + score=0.9773476123809814, + word='Jessica', + start=52, + end=59, + ) + ] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="token-classification", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters={ + "aggregation_strategy": aggregation_strategy, + "ignore_labels": ignore_labels, + "stride": stride, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return TokenClassificationOutputElement.parse_obj_as_list(response) + + def translation( + self, + text: str, + *, + model: Optional[str] = None, + src_lang: Optional[str] = None, + tgt_lang: Optional[str] = None, + clean_up_tokenization_spaces: Optional[bool] = None, + truncation: Optional["TranslationTruncationStrategy"] = None, + generate_parameters: Optional[Dict[str, Any]] = None, + ) -> TranslationOutput: + """ + Convert text from one language to another. + + Check out https://huggingface.co/tasks/translation for more information on how to choose the best model for + your specific use case. Source and target languages usually depend on the model. + However, it is possible to specify source and target languages for certain models. If you are working with one of these models, + you can use `src_lang` and `tgt_lang` arguments to pass the relevant information. + + Args: + text (`str`): + A string to be translated. + model (`str`, *optional*): + The model to use for the translation task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended translation model will be used. + Defaults to None. + src_lang (`str`, *optional*): + The source language of the text. Required for models that can translate from multiple languages. + tgt_lang (`str`, *optional*): + Target language to translate to. Required for models that can translate to multiple languages. + clean_up_tokenization_spaces (`bool`, *optional*): + Whether to clean up the potential extra spaces in the text output. + truncation (`"TranslationTruncationStrategy"`, *optional*): + The truncation strategy to use. + generate_parameters (`Dict[str, Any]`, *optional*): + Additional parametrization of the text generation algorithm. + + Returns: + [`TranslationOutput`]: The generated translated text. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + `ValueError`: + If only one of the `src_lang` and `tgt_lang` arguments are provided. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.translation("My name is Wolfgang and I live in Berlin") + 'Mein Name ist Wolfgang und ich lebe in Berlin.' + >>> client.translation("My name is Wolfgang and I live in Berlin", model="Helsinki-NLP/opus-mt-en-fr") + TranslationOutput(translation_text='Je m'appelle Wolfgang et je vis à Berlin.') + ``` + + Specifying languages: + ```py + >>> client.translation("My name is Sarah Jessica Parker but you can call me Jessica", model="facebook/mbart-large-50-many-to-many-mmt", src_lang="en_XX", tgt_lang="fr_XX") + "Mon nom est Sarah Jessica Parker mais vous pouvez m'appeler Jessica" + ``` + """ + # Throw error if only one of `src_lang` and `tgt_lang` was given + if src_lang is not None and tgt_lang is None: + raise ValueError("You cannot specify `src_lang` without specifying `tgt_lang`.") + + if src_lang is None and tgt_lang is not None: + raise ValueError("You cannot specify `tgt_lang` without specifying `src_lang`.") + + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="translation", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters={ + "src_lang": src_lang, + "tgt_lang": tgt_lang, + "clean_up_tokenization_spaces": clean_up_tokenization_spaces, + "truncation": truncation, + "generate_parameters": generate_parameters, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return TranslationOutput.parse_obj_as_list(response)[0] + + def visual_question_answering( + self, + image: ContentT, + question: str, + *, + model: Optional[str] = None, + top_k: Optional[int] = None, + ) -> List[VisualQuestionAnsweringOutputElement]: + """ + Answering open-ended questions based on an image. + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The input image for the context. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + question (`str`): + Question to be answered. + model (`str`, *optional*): + The model to use for the visual question answering task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended visual question answering model will be used. + Defaults to None. + top_k (`int`, *optional*): + The number of answers to return (will be chosen by order of likelihood). Note that we return less than + topk answers if there are not enough options available within the context. + Returns: + `List[VisualQuestionAnsweringOutputElement]`: a list of [`VisualQuestionAnsweringOutputElement`] items containing the predicted label and associated probability. + + Raises: + `InferenceTimeoutError`: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.visual_question_answering( + ... image="https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", + ... question="What is the animal doing?" + ... ) + [ + VisualQuestionAnsweringOutputElement(score=0.778609573841095, answer='laying down'), + VisualQuestionAnsweringOutputElement(score=0.6957435607910156, answer='sitting'), + ] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="visual-question-answering", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={"top_k": top_k}, + headers=self.headers, + model=model_id, + api_key=self.token, + extra_payload={"question": question, "image": _b64_encode(image)}, + ) + response = self._inner_post(request_parameters) + return VisualQuestionAnsweringOutputElement.parse_obj_as_list(response) + + def zero_shot_classification( + self, + text: str, + candidate_labels: List[str], + *, + multi_label: Optional[bool] = False, + hypothesis_template: Optional[str] = None, + model: Optional[str] = None, + ) -> List[ZeroShotClassificationOutputElement]: + """ + Provide as input a text and a set of candidate labels to classify the input text. + + Args: + text (`str`): + The input text to classify. + candidate_labels (`List[str]`): + The set of possible class labels to classify the text into. + labels (`List[str]`, *optional*): + (deprecated) List of strings. Each string is the verbalization of a possible label for the input text. + multi_label (`bool`, *optional*): + Whether multiple candidate labels can be true. If false, the scores are normalized such that the sum of + the label likelihoods for each sequence is 1. If true, the labels are considered independent and + probabilities are normalized for each candidate. + hypothesis_template (`str`, *optional*): + The sentence used in conjunction with `candidate_labels` to attempt the text classification by + replacing the placeholder with the candidate labels. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. This parameter overrides the model defined at the instance level. If not provided, the default recommended zero-shot classification model will be used. + + + Returns: + `List[ZeroShotClassificationOutputElement]`: List of [`ZeroShotClassificationOutputElement`] items containing the predicted labels and their confidence. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example with `multi_label=False`: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> text = ( + ... "A new model offers an explanation for how the Galilean satellites formed around the solar system's" + ... "largest world. Konstantin Batygin did not set out to solve one of the solar system's most puzzling" + ... " mysteries when he went for a run up a hill in Nice, France." + ... ) + >>> labels = ["space & cosmos", "scientific discovery", "microbiology", "robots", "archeology"] + >>> client.zero_shot_classification(text, labels) + [ + ZeroShotClassificationOutputElement(label='scientific discovery', score=0.7961668968200684), + ZeroShotClassificationOutputElement(label='space & cosmos', score=0.18570658564567566), + ZeroShotClassificationOutputElement(label='microbiology', score=0.00730885099619627), + ZeroShotClassificationOutputElement(label='archeology', score=0.006258360575884581), + ZeroShotClassificationOutputElement(label='robots', score=0.004559356719255447), + ] + >>> client.zero_shot_classification(text, labels, multi_label=True) + [ + ZeroShotClassificationOutputElement(label='scientific discovery', score=0.9829297661781311), + ZeroShotClassificationOutputElement(label='space & cosmos', score=0.755190908908844), + ZeroShotClassificationOutputElement(label='microbiology', score=0.0005462635890580714), + ZeroShotClassificationOutputElement(label='archeology', score=0.00047131875180639327), + ZeroShotClassificationOutputElement(label='robots', score=0.00030448526376858354), + ] + ``` + + Example with `multi_label=True` and a custom `hypothesis_template`: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.zero_shot_classification( + ... text="I really like our dinner and I'm very happy. I don't like the weather though.", + ... labels=["positive", "negative", "pessimistic", "optimistic"], + ... multi_label=True, + ... hypothesis_template="This text is {} towards the weather" + ... ) + [ + ZeroShotClassificationOutputElement(label='negative', score=0.9231801629066467), + ZeroShotClassificationOutputElement(label='pessimistic', score=0.8760990500450134), + ZeroShotClassificationOutputElement(label='optimistic', score=0.0008674879791215062), + ZeroShotClassificationOutputElement(label='positive', score=0.0005250611575320363) + ] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="zero-shot-classification", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters={ + "candidate_labels": candidate_labels, + "multi_label": multi_label, + "hypothesis_template": hypothesis_template, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + output = _bytes_to_dict(response) + return [ + ZeroShotClassificationOutputElement.parse_obj_as_instance({"label": label, "score": score}) + for label, score in zip(output["labels"], output["scores"]) + ] + + def zero_shot_image_classification( + self, + image: ContentT, + candidate_labels: List[str], + *, + model: Optional[str] = None, + hypothesis_template: Optional[str] = None, + # deprecated argument + labels: List[str] = None, # type: ignore + ) -> List[ZeroShotImageClassificationOutputElement]: + """ + Provide input image and text labels to predict text labels for the image. + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The input image to caption. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + candidate_labels (`List[str]`): + The candidate labels for this image + labels (`List[str]`, *optional*): + (deprecated) List of string possible labels. There must be at least 2 labels. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. This parameter overrides the model defined at the instance level. If not provided, the default recommended zero-shot image classification model will be used. + hypothesis_template (`str`, *optional*): + The sentence used in conjunction with `candidate_labels` to attempt the image classification by + replacing the placeholder with the candidate labels. + + Returns: + `List[ZeroShotImageClassificationOutputElement]`: List of [`ZeroShotImageClassificationOutputElement`] items containing the predicted labels and their confidence. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `HTTPError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + + >>> client.zero_shot_image_classification( + ... "https://upload.wikimedia.org/wikipedia/commons/thumb/4/43/Cute_dog.jpg/320px-Cute_dog.jpg", + ... labels=["dog", "cat", "horse"], + ... ) + [ZeroShotImageClassificationOutputElement(label='dog', score=0.956),...] + ``` + """ + # Raise ValueError if input is less than 2 labels + if len(candidate_labels) < 2: + raise ValueError("You must specify at least 2 classes to compare.") + + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="zero-shot-image-classification", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={ + "candidate_labels": candidate_labels, + "hypothesis_template": hypothesis_template, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = self._inner_post(request_parameters) + return ZeroShotImageClassificationOutputElement.parse_obj_as_list(response) + + @_deprecate_method( + version="0.35.0", + message=( + "HF Inference API is getting revamped and will only support warm models in the future (no cold start allowed)." + " Use `HfApi.list_models(..., inference_provider='...')` to list warm models per provider." + ), + ) + def list_deployed_models( + self, frameworks: Union[None, str, Literal["all"], List[str]] = None + ) -> Dict[str, List[str]]: + """ + List models deployed on the HF Serverless Inference API service. + + This helper checks deployed models framework by framework. By default, it will check the 4 main frameworks that + are supported and account for 95% of the hosted models. However, if you want a complete list of models you can + specify `frameworks="all"` as input. Alternatively, if you know before-hand which framework you are interested + in, you can also restrict to search to this one (e.g. `frameworks="text-generation-inference"`). The more + frameworks are checked, the more time it will take. + + + + This endpoint method does not return a live list of all models available for the HF Inference API service. + It searches over a cached list of models that were recently available and the list may not be up to date. + If you want to know the live status of a specific model, use [`~InferenceClient.get_model_status`]. + + + + + + This endpoint method is mostly useful for discoverability. If you already know which model you want to use and want to + check its availability, you can directly use [`~InferenceClient.get_model_status`]. + + + + Args: + frameworks (`Literal["all"]` or `List[str]` or `str`, *optional*): + The frameworks to filter on. By default only a subset of the available frameworks are tested. If set to + "all", all available frameworks will be tested. It is also possible to provide a single framework or a + custom set of frameworks to check. + + Returns: + `Dict[str, List[str]]`: A dictionary mapping task names to a sorted list of model IDs. + + Example: + ```python + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + + # Discover zero-shot-classification models currently deployed + >>> models = client.list_deployed_models() + >>> models["zero-shot-classification"] + ['Narsil/deberta-large-mnli-zero-cls', 'facebook/bart-large-mnli', ...] + + # List from only 1 framework + >>> client.list_deployed_models("text-generation-inference") + {'text-generation': ['bigcode/starcoder', 'meta-llama/Llama-2-70b-chat-hf', ...], ...} + ``` + """ + if self.provider != "hf-inference": + raise ValueError(f"Listing deployed models is not supported on '{self.provider}'.") + + # Resolve which frameworks to check + if frameworks is None: + frameworks = constants.MAIN_INFERENCE_API_FRAMEWORKS + elif frameworks == "all": + frameworks = constants.ALL_INFERENCE_API_FRAMEWORKS + elif isinstance(frameworks, str): + frameworks = [frameworks] + frameworks = list(set(frameworks)) + + # Fetch them iteratively + models_by_task: Dict[str, List[str]] = {} + + def _unpack_response(framework: str, items: List[Dict]) -> None: + for model in items: + if framework == "sentence-transformers": + # Model running with the `sentence-transformers` framework can work with both tasks even if not + # branded as such in the API response + models_by_task.setdefault("feature-extraction", []).append(model["model_id"]) + models_by_task.setdefault("sentence-similarity", []).append(model["model_id"]) + else: + models_by_task.setdefault(model["task"], []).append(model["model_id"]) + + for framework in frameworks: + response = get_session().get( + f"{constants.INFERENCE_ENDPOINT}/framework/{framework}", headers=build_hf_headers(token=self.token) + ) + hf_raise_for_status(response) + _unpack_response(framework, response.json()) + + # Sort alphabetically for discoverability and return + for task, models in models_by_task.items(): + models_by_task[task] = sorted(set(models), key=lambda x: x.lower()) + return models_by_task + + def get_endpoint_info(self, *, model: Optional[str] = None) -> Dict[str, Any]: + """ + Get information about the deployed endpoint. + + This endpoint is only available on endpoints powered by Text-Generation-Inference (TGI) or Text-Embedding-Inference (TEI). + Endpoints powered by `transformers` return an empty payload. + + Args: + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. This parameter overrides the model defined at the instance level. Defaults to None. + + Returns: + `Dict[str, Any]`: Information about the endpoint. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient("meta-llama/Meta-Llama-3-70B-Instruct") + >>> client.get_endpoint_info() + { + 'model_id': 'meta-llama/Meta-Llama-3-70B-Instruct', + 'model_sha': None, + 'model_dtype': 'torch.float16', + 'model_device_type': 'cuda', + 'model_pipeline_tag': None, + 'max_concurrent_requests': 128, + 'max_best_of': 2, + 'max_stop_sequences': 4, + 'max_input_length': 8191, + 'max_total_tokens': 8192, + 'waiting_served_ratio': 0.3, + 'max_batch_total_tokens': 1259392, + 'max_waiting_tokens': 20, + 'max_batch_size': None, + 'validation_workers': 32, + 'max_client_batch_size': 4, + 'version': '2.0.2', + 'sha': 'dccab72549635c7eb5ddb17f43f0b7cdff07c214', + 'docker_label': 'sha-dccab72' + } + ``` + """ + if self.provider != "hf-inference": + raise ValueError(f"Getting endpoint info is not supported on '{self.provider}'.") + + model = model or self.model + if model is None: + raise ValueError("Model id not provided.") + if model.startswith(("http://", "https://")): + url = model.rstrip("/") + "/info" + else: + url = f"{constants.INFERENCE_ENDPOINT}/models/{model}/info" + + response = get_session().get(url, headers=build_hf_headers(token=self.token)) + hf_raise_for_status(response) + return response.json() + + def health_check(self, model: Optional[str] = None) -> bool: + """ + Check the health of the deployed endpoint. + + Health check is only available with Inference Endpoints powered by Text-Generation-Inference (TGI) or Text-Embedding-Inference (TEI). + For Inference API, please use [`InferenceClient.get_model_status`] instead. + + Args: + model (`str`, *optional*): + URL of the Inference Endpoint. This parameter overrides the model defined at the instance level. Defaults to None. + + Returns: + `bool`: True if everything is working fine. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient("https://jzgu0buei5.us-east-1.aws.endpoints.huggingface.cloud") + >>> client.health_check() + True + ``` + """ + if self.provider != "hf-inference": + raise ValueError(f"Health check is not supported on '{self.provider}'.") + + model = model or self.model + if model is None: + raise ValueError("Model id not provided.") + if not model.startswith(("http://", "https://")): + raise ValueError( + "Model must be an Inference Endpoint URL. For serverless Inference API, please use `InferenceClient.get_model_status`." + ) + url = model.rstrip("/") + "/health" + + response = get_session().get(url, headers=build_hf_headers(token=self.token)) + return response.status_code == 200 + + @_deprecate_method( + version="0.35.0", + message=( + "HF Inference API is getting revamped and will only support warm models in the future (no cold start allowed)." + " Use `HfApi.model_info` to get the model status both with HF Inference API and external providers." + ), + ) + def get_model_status(self, model: Optional[str] = None) -> ModelStatus: + """ + Get the status of a model hosted on the HF Inference API. + + + + This endpoint is mostly useful when you already know which model you want to use and want to check its + availability. If you want to discover already deployed models, you should rather use [`~InferenceClient.list_deployed_models`]. + + + + Args: + model (`str`, *optional*): + Identifier of the model for witch the status gonna be checked. If model is not provided, + the model associated with this instance of [`InferenceClient`] will be used. Only HF Inference API service can be checked so the + identifier cannot be a URL. + + + Returns: + [`ModelStatus`]: An instance of ModelStatus dataclass, containing information, + about the state of the model: load, state, compute type and framework. + + Example: + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient() + >>> client.get_model_status("meta-llama/Meta-Llama-3-8B-Instruct") + ModelStatus(loaded=True, state='Loaded', compute_type='gpu', framework='text-generation-inference') + ``` + """ + if self.provider != "hf-inference": + raise ValueError(f"Getting model status is not supported on '{self.provider}'.") + + model = model or self.model + if model is None: + raise ValueError("Model id not provided.") + if model.startswith("https://"): + raise NotImplementedError("Model status is only available for Inference API endpoints.") + url = f"{constants.INFERENCE_ENDPOINT}/status/{model}" + + response = get_session().get(url, headers=build_hf_headers(token=self.token)) + hf_raise_for_status(response) + response_data = response.json() + + if "error" in response_data: + raise ValueError(response_data["error"]) + + return ModelStatus( + loaded=response_data["loaded"], + state=response_data["state"], + compute_type=response_data["compute_type"], + framework=response_data["framework"], + ) + + @property + def chat(self) -> "ProxyClientChat": + return ProxyClientChat(self) + + +class _ProxyClient: + """Proxy class to be able to call `client.chat.completion.create(...)` as OpenAI client.""" + + def __init__(self, client: InferenceClient): + self._client = client + + +class ProxyClientChat(_ProxyClient): + """Proxy class to be able to call `client.chat.completion.create(...)` as OpenAI client.""" + + @property + def completions(self) -> "ProxyClientChatCompletions": + return ProxyClientChatCompletions(self._client) + + +class ProxyClientChatCompletions(_ProxyClient): + """Proxy class to be able to call `client.chat.completion.create(...)` as OpenAI client.""" + + @property + def create(self): + return self._client.chat_completion diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_common.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_common.py new file mode 100644 index 0000000000000000000000000000000000000000..84636b212ccf7c87bd882c4f1a4056b5c7ec9e05 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_common.py @@ -0,0 +1,457 @@ +# coding=utf-8 +# Copyright 2023-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains utilities used by both the sync and async inference clients.""" + +import base64 +import io +import json +import logging +import mimetypes +from contextlib import contextmanager +from dataclasses import dataclass +from pathlib import Path +from typing import ( + TYPE_CHECKING, + Any, + AsyncIterable, + BinaryIO, + ContextManager, + Dict, + Generator, + Iterable, + List, + Literal, + NoReturn, + Optional, + Union, + overload, +) + +from requests import HTTPError + +from huggingface_hub.errors import ( + GenerationError, + IncompleteGenerationError, + OverloadedError, + TextGenerationError, + UnknownError, + ValidationError, +) + +from ..utils import get_session, is_aiohttp_available, is_numpy_available, is_pillow_available +from ._generated.types import ChatCompletionStreamOutput, TextGenerationStreamOutput + + +if TYPE_CHECKING: + from aiohttp import ClientResponse, ClientSession + from PIL.Image import Image + +# TYPES +UrlT = str +PathT = Union[str, Path] +BinaryT = Union[bytes, BinaryIO] +ContentT = Union[BinaryT, PathT, UrlT, "Image"] + +# Use to set a Accept: image/png header +TASKS_EXPECTING_IMAGES = {"text-to-image", "image-to-image"} + +logger = logging.getLogger(__name__) + + +@dataclass +class RequestParameters: + url: str + task: str + model: Optional[str] + json: Optional[Union[str, Dict, List]] + data: Optional[ContentT] + headers: Dict[str, Any] + + +# Add dataclass for ModelStatus. We use this dataclass in get_model_status function. +@dataclass +class ModelStatus: + """ + This Dataclass represents the model status in the HF Inference API. + + Args: + loaded (`bool`): + If the model is currently loaded into HF's Inference API. Models + are loaded on-demand, leading to the user's first request taking longer. + If a model is loaded, you can be assured that it is in a healthy state. + state (`str`): + The current state of the model. This can be 'Loaded', 'Loadable', 'TooBig'. + If a model's state is 'Loadable', it's not too big and has a supported + backend. Loadable models are automatically loaded when the user first + requests inference on the endpoint. This means it is transparent for the + user to load a model, except that the first call takes longer to complete. + compute_type (`Dict`): + Information about the compute resource the model is using or will use, such as 'gpu' type and number of + replicas. + framework (`str`): + The name of the framework that the model was built with, such as 'transformers' + or 'text-generation-inference'. + """ + + loaded: bool + state: str + compute_type: Dict + framework: str + + +## IMPORT UTILS + + +def _import_aiohttp(): + # Make sure `aiohttp` is installed on the machine. + if not is_aiohttp_available(): + raise ImportError("Please install aiohttp to use `AsyncInferenceClient` (`pip install aiohttp`).") + import aiohttp + + return aiohttp + + +def _import_numpy(): + """Make sure `numpy` is installed on the machine.""" + if not is_numpy_available(): + raise ImportError("Please install numpy to use deal with embeddings (`pip install numpy`).") + import numpy + + return numpy + + +def _import_pil_image(): + """Make sure `PIL` is installed on the machine.""" + if not is_pillow_available(): + raise ImportError( + "Please install Pillow to use deal with images (`pip install Pillow`). If you don't want the image to be" + " post-processed, use `client.post(...)` and get the raw response from the server." + ) + from PIL import Image + + return Image + + +## ENCODING / DECODING UTILS + + +@overload +def _open_as_binary( + content: ContentT, +) -> ContextManager[BinaryT]: ... # means "if input is not None, output is not None" + + +@overload +def _open_as_binary( + content: Literal[None], +) -> ContextManager[Literal[None]]: ... # means "if input is None, output is None" + + +@contextmanager # type: ignore +def _open_as_binary(content: Optional[ContentT]) -> Generator[Optional[BinaryT], None, None]: + """Open `content` as a binary file, either from a URL, a local path, raw bytes, or a PIL Image. + + Do nothing if `content` is None. + + TODO: handle base64 as input + """ + # If content is a string => must be either a URL or a path + if isinstance(content, str): + if content.startswith("https://") or content.startswith("http://"): + logger.debug(f"Downloading content from {content}") + yield get_session().get(content).content # TODO: retrieve as stream and pipe to post request ? + return + content = Path(content) + if not content.exists(): + raise FileNotFoundError( + f"File not found at {content}. If `data` is a string, it must either be a URL or a path to a local" + " file. To pass raw content, please encode it as bytes first." + ) + + # If content is a Path => open it + if isinstance(content, Path): + logger.debug(f"Opening content from {content}") + with content.open("rb") as f: + yield f + return + + # If content is a PIL Image => convert to bytes + if is_pillow_available(): + from PIL import Image + + if isinstance(content, Image.Image): + logger.debug("Converting PIL Image to bytes") + buffer = io.BytesIO() + content.save(buffer, format=content.format or "PNG") + yield buffer.getvalue() + return + + # Otherwise: already a file-like object or None + yield content # type: ignore + + +def _b64_encode(content: ContentT) -> str: + """Encode a raw file (image, audio) into base64. Can be bytes, an opened file, a path or a URL.""" + with _open_as_binary(content) as data: + data_as_bytes = data if isinstance(data, bytes) else data.read() + return base64.b64encode(data_as_bytes).decode() + + +def _as_url(content: ContentT, default_mime_type: str) -> str: + if isinstance(content, str) and (content.startswith("https://") or content.startswith("http://")): + return content + + # Handle MIME type detection for different content types + mime_type = None + if isinstance(content, (str, Path)): + mime_type = mimetypes.guess_type(content, strict=False)[0] + elif is_pillow_available(): + from PIL import Image + + if isinstance(content, Image.Image): + # Determine MIME type from PIL Image format, in sync with `_open_as_binary` + mime_type = f"image/{(content.format or 'PNG').lower()}" + + mime_type = mime_type or default_mime_type + encoded_data = _b64_encode(content) + return f"data:{mime_type};base64,{encoded_data}" + + +def _b64_to_image(encoded_image: str) -> "Image": + """Parse a base64-encoded string into a PIL Image.""" + Image = _import_pil_image() + return Image.open(io.BytesIO(base64.b64decode(encoded_image))) + + +def _bytes_to_list(content: bytes) -> List: + """Parse bytes from a Response object into a Python list. + + Expects the response body to be JSON-encoded data. + + NOTE: This is exactly the same implementation as `_bytes_to_dict` and will not complain if the returned data is a + dictionary. The only advantage of having both is to help the user (and mypy) understand what kind of data to expect. + """ + return json.loads(content.decode()) + + +def _bytes_to_dict(content: bytes) -> Dict: + """Parse bytes from a Response object into a Python dictionary. + + Expects the response body to be JSON-encoded data. + + NOTE: This is exactly the same implementation as `_bytes_to_list` and will not complain if the returned data is a + list. The only advantage of having both is to help the user (and mypy) understand what kind of data to expect. + """ + return json.loads(content.decode()) + + +def _bytes_to_image(content: bytes) -> "Image": + """Parse bytes from a Response object into a PIL Image. + + Expects the response body to be raw bytes. To deal with b64 encoded images, use `_b64_to_image` instead. + """ + Image = _import_pil_image() + return Image.open(io.BytesIO(content)) + + +def _as_dict(response: Union[bytes, Dict]) -> Dict: + return json.loads(response) if isinstance(response, bytes) else response + + +## PAYLOAD UTILS + + +## STREAMING UTILS + + +def _stream_text_generation_response( + bytes_output_as_lines: Iterable[bytes], details: bool +) -> Union[Iterable[str], Iterable[TextGenerationStreamOutput]]: + """Used in `InferenceClient.text_generation`.""" + # Parse ServerSentEvents + for byte_payload in bytes_output_as_lines: + try: + output = _format_text_generation_stream_output(byte_payload, details) + except StopIteration: + break + if output is not None: + yield output + + +async def _async_stream_text_generation_response( + bytes_output_as_lines: AsyncIterable[bytes], details: bool +) -> Union[AsyncIterable[str], AsyncIterable[TextGenerationStreamOutput]]: + """Used in `AsyncInferenceClient.text_generation`.""" + # Parse ServerSentEvents + async for byte_payload in bytes_output_as_lines: + try: + output = _format_text_generation_stream_output(byte_payload, details) + except StopIteration: + break + if output is not None: + yield output + + +def _format_text_generation_stream_output( + byte_payload: bytes, details: bool +) -> Optional[Union[str, TextGenerationStreamOutput]]: + if not byte_payload.startswith(b"data:"): + return None # empty line + + if byte_payload.strip() == b"data: [DONE]": + raise StopIteration("[DONE] signal received.") + + # Decode payload + payload = byte_payload.decode("utf-8") + json_payload = json.loads(payload.lstrip("data:").rstrip("/n")) + + # Either an error as being returned + if json_payload.get("error") is not None: + raise _parse_text_generation_error(json_payload["error"], json_payload.get("error_type")) + + # Or parse token payload + output = TextGenerationStreamOutput.parse_obj_as_instance(json_payload) + return output.token.text if not details else output + + +def _stream_chat_completion_response( + bytes_lines: Iterable[bytes], +) -> Iterable[ChatCompletionStreamOutput]: + """Used in `InferenceClient.chat_completion` if model is served with TGI.""" + for item in bytes_lines: + try: + output = _format_chat_completion_stream_output(item) + except StopIteration: + break + if output is not None: + yield output + + +async def _async_stream_chat_completion_response( + bytes_lines: AsyncIterable[bytes], +) -> AsyncIterable[ChatCompletionStreamOutput]: + """Used in `AsyncInferenceClient.chat_completion`.""" + async for item in bytes_lines: + try: + output = _format_chat_completion_stream_output(item) + except StopIteration: + break + if output is not None: + yield output + + +def _format_chat_completion_stream_output( + byte_payload: bytes, +) -> Optional[ChatCompletionStreamOutput]: + if not byte_payload.startswith(b"data:"): + return None # empty line + + if byte_payload.strip() == b"data: [DONE]": + raise StopIteration("[DONE] signal received.") + + # Decode payload + payload = byte_payload.decode("utf-8") + json_payload = json.loads(payload.lstrip("data:").rstrip("/n")) + + # Either an error as being returned + if json_payload.get("error") is not None: + raise _parse_text_generation_error(json_payload["error"], json_payload.get("error_type")) + + # Or parse token payload + return ChatCompletionStreamOutput.parse_obj_as_instance(json_payload) + + +async def _async_yield_from(client: "ClientSession", response: "ClientResponse") -> AsyncIterable[bytes]: + try: + async for byte_payload in response.content: + yield byte_payload.strip() + finally: + # Always close the underlying HTTP session to avoid resource leaks + await client.close() + + +# "TGI servers" are servers running with the `text-generation-inference` backend. +# This backend is the go-to solution to run large language models at scale. However, +# for some smaller models (e.g. "gpt2") the default `transformers` + `api-inference` +# solution is still in use. +# +# Both approaches have very similar APIs, but not exactly the same. What we do first in +# the `text_generation` method is to assume the model is served via TGI. If we realize +# it's not the case (i.e. we receive an HTTP 400 Bad Request), we fallback to the +# default API with a warning message. When that's the case, We remember the unsupported +# attributes for this model in the `_UNSUPPORTED_TEXT_GENERATION_KWARGS` global variable. +# +# In addition, TGI servers have a built-in API route for chat-completion, which is not +# available on the default API. We use this route to provide a more consistent behavior +# when available. +# +# For more details, see https://github.com/huggingface/text-generation-inference and +# https://huggingface.co/docs/api-inference/detailed_parameters#text-generation-task. + +_UNSUPPORTED_TEXT_GENERATION_KWARGS: Dict[Optional[str], List[str]] = {} + + +def _set_unsupported_text_generation_kwargs(model: Optional[str], unsupported_kwargs: List[str]) -> None: + _UNSUPPORTED_TEXT_GENERATION_KWARGS.setdefault(model, []).extend(unsupported_kwargs) + + +def _get_unsupported_text_generation_kwargs(model: Optional[str]) -> List[str]: + return _UNSUPPORTED_TEXT_GENERATION_KWARGS.get(model, []) + + +# TEXT GENERATION ERRORS +# ---------------------- +# Text-generation errors are parsed separately to handle as much as possible the errors returned by the text generation +# inference project (https://github.com/huggingface/text-generation-inference). +# ---------------------- + + +def raise_text_generation_error(http_error: HTTPError) -> NoReturn: + """ + Try to parse text-generation-inference error message and raise HTTPError in any case. + + Args: + error (`HTTPError`): + The HTTPError that have been raised. + """ + # Try to parse a Text Generation Inference error + + try: + # Hacky way to retrieve payload in case of aiohttp error + payload = getattr(http_error, "response_error_payload", None) or http_error.response.json() + error = payload.get("error") + error_type = payload.get("error_type") + except Exception: # no payload + raise http_error + + # If error_type => more information than `hf_raise_for_status` + if error_type is not None: + exception = _parse_text_generation_error(error, error_type) + raise exception from http_error + + # Otherwise, fallback to default error + raise http_error + + +def _parse_text_generation_error(error: Optional[str], error_type: Optional[str]) -> TextGenerationError: + if error_type == "generation": + return GenerationError(error) # type: ignore + if error_type == "incomplete_generation": + return IncompleteGenerationError(error) # type: ignore + if error_type == "overloaded": + return OverloadedError(error) # type: ignore + if error_type == "validation": + return ValidationError(error) # type: ignore + return UnknownError(error) # type: ignore diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..dc1cecb825e33a348dc9aca3fe44d3899e00e083 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/_async_client.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/_async_client.py new file mode 100644 index 0000000000000000000000000000000000000000..55fd9e69ca583708a98630bdabd9b592cf07360a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/_async_client.py @@ -0,0 +1,3665 @@ +# coding=utf-8 +# Copyright 2023-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# WARNING +# This entire file has been adapted from the sync-client code in `src/huggingface_hub/inference/_client.py`. +# Any change in InferenceClient will be automatically reflected in AsyncInferenceClient. +# To re-generate the code, run `make style` or `python ./utils/generate_async_inference_client.py --update`. +# WARNING +import asyncio +import base64 +import logging +import re +import warnings +from typing import TYPE_CHECKING, Any, AsyncIterable, Dict, List, Literal, Optional, Set, Union, overload + +from huggingface_hub import constants +from huggingface_hub.errors import InferenceTimeoutError +from huggingface_hub.inference._common import ( + TASKS_EXPECTING_IMAGES, + ContentT, + ModelStatus, + RequestParameters, + _async_stream_chat_completion_response, + _async_stream_text_generation_response, + _b64_encode, + _b64_to_image, + _bytes_to_dict, + _bytes_to_image, + _bytes_to_list, + _get_unsupported_text_generation_kwargs, + _import_numpy, + _open_as_binary, + _set_unsupported_text_generation_kwargs, + raise_text_generation_error, +) +from huggingface_hub.inference._generated.types import ( + AudioClassificationOutputElement, + AudioClassificationOutputTransform, + AudioToAudioOutputElement, + AutomaticSpeechRecognitionOutput, + ChatCompletionInputGrammarType, + ChatCompletionInputMessage, + ChatCompletionInputStreamOptions, + ChatCompletionInputTool, + ChatCompletionInputToolChoiceClass, + ChatCompletionInputToolChoiceEnum, + ChatCompletionOutput, + ChatCompletionStreamOutput, + DocumentQuestionAnsweringOutputElement, + FillMaskOutputElement, + ImageClassificationOutputElement, + ImageClassificationOutputTransform, + ImageSegmentationOutputElement, + ImageSegmentationSubtask, + ImageToImageTargetSize, + ImageToTextOutput, + ImageToVideoTargetSize, + ObjectDetectionOutputElement, + Padding, + QuestionAnsweringOutputElement, + SummarizationOutput, + SummarizationTruncationStrategy, + TableQuestionAnsweringOutputElement, + TextClassificationOutputElement, + TextClassificationOutputTransform, + TextGenerationInputGrammarType, + TextGenerationOutput, + TextGenerationStreamOutput, + TextToSpeechEarlyStoppingEnum, + TokenClassificationAggregationStrategy, + TokenClassificationOutputElement, + TranslationOutput, + TranslationTruncationStrategy, + VisualQuestionAnsweringOutputElement, + ZeroShotClassificationOutputElement, + ZeroShotImageClassificationOutputElement, +) +from huggingface_hub.inference._providers import PROVIDER_OR_POLICY_T, get_provider_helper +from huggingface_hub.utils import build_hf_headers, get_session, hf_raise_for_status +from huggingface_hub.utils._auth import get_token +from huggingface_hub.utils._deprecation import _deprecate_method + +from .._common import _async_yield_from, _import_aiohttp + + +if TYPE_CHECKING: + import numpy as np + from aiohttp import ClientResponse, ClientSession + from PIL.Image import Image + +logger = logging.getLogger(__name__) + + +MODEL_KWARGS_NOT_USED_REGEX = re.compile(r"The following `model_kwargs` are not used by the model: \[(.*?)\]") + + +class AsyncInferenceClient: + """ + Initialize a new Inference Client. + + [`InferenceClient`] aims to provide a unified experience to perform inference. The client can be used + seamlessly with either the (free) Inference API, self-hosted Inference Endpoints, or third-party Inference Providers. + + Args: + model (`str`, `optional`): + The model to run inference with. Can be a model id hosted on the Hugging Face Hub, e.g. `meta-llama/Meta-Llama-3-8B-Instruct` + or a URL to a deployed Inference Endpoint. Defaults to None, in which case a recommended model is + automatically selected for the task. + Note: for better compatibility with OpenAI's client, `model` has been aliased as `base_url`. Those 2 + arguments are mutually exclusive. If a URL is passed as `model` or `base_url` for chat completion, the `(/v1)/chat/completions` suffix path will be appended to the URL. + provider (`str`, *optional*): + Name of the provider to use for inference. Can be `"black-forest-labs"`, `"cerebras"`, `"cohere"`, `"fal-ai"`, `"featherless-ai"`, `"fireworks-ai"`, `"groq"`, `"hf-inference"`, `"hyperbolic"`, `"nebius"`, `"novita"`, `"nscale"`, `"openai"`, `"replicate"`, "sambanova"` or `"together"`. + Defaults to "auto" i.e. the first of the providers available for the model, sorted by the user's order in https://hf.co/settings/inference-providers. + If model is a URL or `base_url` is passed, then `provider` is not used. + token (`str`, *optional*): + Hugging Face token. Will default to the locally saved token if not provided. + Note: for better compatibility with OpenAI's client, `token` has been aliased as `api_key`. Those 2 + arguments are mutually exclusive and have the exact same behavior. + timeout (`float`, `optional`): + The maximum number of seconds to wait for a response from the server. Defaults to None, meaning it will loop until the server is available. + headers (`Dict[str, str]`, `optional`): + Additional headers to send to the server. By default only the authorization and user-agent headers are sent. + Values in this dictionary will override the default values. + bill_to (`str`, `optional`): + The billing account to use for the requests. By default the requests are billed on the user's account. + Requests can only be billed to an organization the user is a member of, and which has subscribed to Enterprise Hub. + cookies (`Dict[str, str]`, `optional`): + Additional cookies to send to the server. + trust_env ('bool', 'optional'): + Trust environment settings for proxy configuration if the parameter is `True` (`False` by default). + proxies (`Any`, `optional`): + Proxies to use for the request. + base_url (`str`, `optional`): + Base URL to run inference. This is a duplicated argument from `model` to make [`InferenceClient`] + follow the same pattern as `openai.OpenAI` client. Cannot be used if `model` is set. Defaults to None. + api_key (`str`, `optional`): + Token to use for authentication. This is a duplicated argument from `token` to make [`InferenceClient`] + follow the same pattern as `openai.OpenAI` client. Cannot be used if `token` is set. Defaults to None. + """ + + def __init__( + self, + model: Optional[str] = None, + *, + provider: Optional[PROVIDER_OR_POLICY_T] = None, + token: Optional[str] = None, + timeout: Optional[float] = None, + headers: Optional[Dict[str, str]] = None, + cookies: Optional[Dict[str, str]] = None, + trust_env: bool = False, + proxies: Optional[Any] = None, + bill_to: Optional[str] = None, + # OpenAI compatibility + base_url: Optional[str] = None, + api_key: Optional[str] = None, + ) -> None: + if model is not None and base_url is not None: + raise ValueError( + "Received both `model` and `base_url` arguments. Please provide only one of them." + " `base_url` is an alias for `model` to make the API compatible with OpenAI's client." + " If using `base_url` for chat completion, the `/chat/completions` suffix path will be appended to the base url." + " When passing a URL as `model`, the client will not append any suffix path to it." + ) + if token is not None and api_key is not None: + raise ValueError( + "Received both `token` and `api_key` arguments. Please provide only one of them." + " `api_key` is an alias for `token` to make the API compatible with OpenAI's client." + " It has the exact same behavior as `token`." + ) + token = token if token is not None else api_key + if isinstance(token, bool): + # Legacy behavior: previously is was possible to pass `token=False` to disable authentication. This is not + # supported anymore as authentication is required. Better to explicitly raise here rather than risking + # sending the locally saved token without the user knowing about it. + if token is False: + raise ValueError( + "Cannot use `token=False` to disable authentication as authentication is required to run Inference." + ) + warnings.warn( + "Using `token=True` to automatically use the locally saved token is deprecated and will be removed in a future release. " + "Please use `token=None` instead (default).", + DeprecationWarning, + ) + token = get_token() + + self.model: Optional[str] = base_url or model + self.token: Optional[str] = token + + self.headers = {**headers} if headers is not None else {} + if bill_to is not None: + if ( + constants.HUGGINGFACE_HEADER_X_BILL_TO in self.headers + and self.headers[constants.HUGGINGFACE_HEADER_X_BILL_TO] != bill_to + ): + warnings.warn( + f"Overriding existing '{self.headers[constants.HUGGINGFACE_HEADER_X_BILL_TO]}' value in headers with '{bill_to}'.", + UserWarning, + ) + self.headers[constants.HUGGINGFACE_HEADER_X_BILL_TO] = bill_to + + if token is not None and not token.startswith("hf_"): + warnings.warn( + "You've provided an external provider's API key, so requests will be billed directly by the provider. " + "The `bill_to` parameter is only applicable for Hugging Face billing and will be ignored.", + UserWarning, + ) + + # Configure provider + self.provider = provider + + self.cookies = cookies + self.timeout = timeout + self.trust_env = trust_env + self.proxies = proxies + + # Keep track of the sessions to close them properly + self._sessions: Dict["ClientSession", Set["ClientResponse"]] = dict() + + def __repr__(self): + return f"" + + @overload + async def _inner_post( # type: ignore[misc] + self, request_parameters: RequestParameters, *, stream: Literal[False] = ... + ) -> bytes: ... + + @overload + async def _inner_post( # type: ignore[misc] + self, request_parameters: RequestParameters, *, stream: Literal[True] = ... + ) -> AsyncIterable[bytes]: ... + + @overload + async def _inner_post( + self, request_parameters: RequestParameters, *, stream: bool = False + ) -> Union[bytes, AsyncIterable[bytes]]: ... + + async def _inner_post( + self, request_parameters: RequestParameters, *, stream: bool = False + ) -> Union[bytes, AsyncIterable[bytes]]: + """Make a request to the inference server.""" + + aiohttp = _import_aiohttp() + + # TODO: this should be handled in provider helpers directly + if request_parameters.task in TASKS_EXPECTING_IMAGES and "Accept" not in request_parameters.headers: + request_parameters.headers["Accept"] = "image/png" + + with _open_as_binary(request_parameters.data) as data_as_binary: + # Do not use context manager as we don't want to close the connection immediately when returning + # a stream + session = self._get_client_session(headers=request_parameters.headers) + + try: + response = await session.post( + request_parameters.url, json=request_parameters.json, data=data_as_binary, proxy=self.proxies + ) + response_error_payload = None + if response.status != 200: + try: + response_error_payload = await response.json() # get payload before connection closed + except Exception: + pass + response.raise_for_status() + if stream: + return _async_yield_from(session, response) + else: + content = await response.read() + await session.close() + return content + except asyncio.TimeoutError as error: + await session.close() + # Convert any `TimeoutError` to a `InferenceTimeoutError` + raise InferenceTimeoutError(f"Inference call timed out: {request_parameters.url}") from error # type: ignore + except aiohttp.ClientResponseError as error: + error.response_error_payload = response_error_payload + await session.close() + raise error + except Exception: + await session.close() + raise + + async def __aenter__(self): + return self + + async def __aexit__(self, exc_type, exc_value, traceback): + await self.close() + + def __del__(self): + if len(self._sessions) > 0: + warnings.warn( + "Deleting 'AsyncInferenceClient' client but some sessions are still open. " + "This can happen if you've stopped streaming data from the server before the stream was complete. " + "To close the client properly, you must call `await client.close()` " + "or use an async context (e.g. `async with AsyncInferenceClient(): ...`." + ) + + async def close(self): + """Close all open sessions. + + By default, 'aiohttp.ClientSession' objects are closed automatically when a call is completed. However, if you + are streaming data from the server and you stop before the stream is complete, you must call this method to + close the session properly. + + Another possibility is to use an async context (e.g. `async with AsyncInferenceClient(): ...`). + """ + await asyncio.gather(*[session.close() for session in self._sessions.keys()]) + + async def audio_classification( + self, + audio: ContentT, + *, + model: Optional[str] = None, + top_k: Optional[int] = None, + function_to_apply: Optional["AudioClassificationOutputTransform"] = None, + ) -> List[AudioClassificationOutputElement]: + """ + Perform audio classification on the provided audio content. + + Args: + audio (Union[str, Path, bytes, BinaryIO]): + The audio content to classify. It can be raw audio bytes, a local audio file, or a URL pointing to an + audio file. + model (`str`, *optional*): + The model to use for audio classification. Can be a model ID hosted on the Hugging Face Hub + or a URL to a deployed Inference Endpoint. If not provided, the default recommended model for + audio classification will be used. + top_k (`int`, *optional*): + When specified, limits the output to the top K most probable classes. + function_to_apply (`"AudioClassificationOutputTransform"`, *optional*): + The function to apply to the model outputs in order to retrieve the scores. + + Returns: + `List[AudioClassificationOutputElement]`: List of [`AudioClassificationOutputElement`] items containing the predicted labels and their confidence. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.audio_classification("audio.flac") + [ + AudioClassificationOutputElement(score=0.4976358711719513, label='hap'), + AudioClassificationOutputElement(score=0.3677836060523987, label='neu'), + ... + ] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="audio-classification", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=audio, + parameters={"function_to_apply": function_to_apply, "top_k": top_k}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return AudioClassificationOutputElement.parse_obj_as_list(response) + + async def audio_to_audio( + self, + audio: ContentT, + *, + model: Optional[str] = None, + ) -> List[AudioToAudioOutputElement]: + """ + Performs multiple tasks related to audio-to-audio depending on the model (eg: speech enhancement, source separation). + + Args: + audio (Union[str, Path, bytes, BinaryIO]): + The audio content for the model. It can be raw audio bytes, a local audio file, or a URL pointing to an + audio file. + model (`str`, *optional*): + The model can be any model which takes an audio file and returns another audio file. Can be a model ID hosted on the Hugging Face Hub + or a URL to a deployed Inference Endpoint. If not provided, the default recommended model for + audio_to_audio will be used. + + Returns: + `List[AudioToAudioOutputElement]`: A list of [`AudioToAudioOutputElement`] items containing audios label, content-type, and audio content in blob. + + Raises: + `InferenceTimeoutError`: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> audio_output = await client.audio_to_audio("audio.flac") + >>> async for i, item in enumerate(audio_output): + >>> with open(f"output_{i}.flac", "wb") as f: + f.write(item.blob) + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="audio-to-audio", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=audio, + parameters={}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + audio_output = AudioToAudioOutputElement.parse_obj_as_list(response) + for item in audio_output: + item.blob = base64.b64decode(item.blob) + return audio_output + + async def automatic_speech_recognition( + self, + audio: ContentT, + *, + model: Optional[str] = None, + extra_body: Optional[Dict] = None, + ) -> AutomaticSpeechRecognitionOutput: + """ + Perform automatic speech recognition (ASR or audio-to-text) on the given audio content. + + Args: + audio (Union[str, Path, bytes, BinaryIO]): + The content to transcribe. It can be raw audio bytes, local audio file, or a URL to an audio file. + model (`str`, *optional*): + The model to use for ASR. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. If not provided, the default recommended model for ASR will be used. + extra_body (`Dict`, *optional*): + Additional provider-specific parameters to pass to the model. Refer to the provider's documentation + for supported parameters. + Returns: + [`AutomaticSpeechRecognitionOutput`]: An item containing the transcribed text and optionally the timestamp chunks. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.automatic_speech_recognition("hello_world.flac").text + "hello world" + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="automatic-speech-recognition", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=audio, + parameters={**(extra_body or {})}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return AutomaticSpeechRecognitionOutput.parse_obj_as_instance(response) + + @overload + async def chat_completion( # type: ignore + self, + messages: List[Union[Dict, ChatCompletionInputMessage]], + *, + model: Optional[str] = None, + stream: Literal[False] = False, + frequency_penalty: Optional[float] = None, + logit_bias: Optional[List[float]] = None, + logprobs: Optional[bool] = None, + max_tokens: Optional[int] = None, + n: Optional[int] = None, + presence_penalty: Optional[float] = None, + response_format: Optional[ChatCompletionInputGrammarType] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stream_options: Optional[ChatCompletionInputStreamOptions] = None, + temperature: Optional[float] = None, + tool_choice: Optional[Union[ChatCompletionInputToolChoiceClass, "ChatCompletionInputToolChoiceEnum"]] = None, + tool_prompt: Optional[str] = None, + tools: Optional[List[ChatCompletionInputTool]] = None, + top_logprobs: Optional[int] = None, + top_p: Optional[float] = None, + extra_body: Optional[Dict] = None, + ) -> ChatCompletionOutput: ... + + @overload + async def chat_completion( # type: ignore + self, + messages: List[Union[Dict, ChatCompletionInputMessage]], + *, + model: Optional[str] = None, + stream: Literal[True] = True, + frequency_penalty: Optional[float] = None, + logit_bias: Optional[List[float]] = None, + logprobs: Optional[bool] = None, + max_tokens: Optional[int] = None, + n: Optional[int] = None, + presence_penalty: Optional[float] = None, + response_format: Optional[ChatCompletionInputGrammarType] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stream_options: Optional[ChatCompletionInputStreamOptions] = None, + temperature: Optional[float] = None, + tool_choice: Optional[Union[ChatCompletionInputToolChoiceClass, "ChatCompletionInputToolChoiceEnum"]] = None, + tool_prompt: Optional[str] = None, + tools: Optional[List[ChatCompletionInputTool]] = None, + top_logprobs: Optional[int] = None, + top_p: Optional[float] = None, + extra_body: Optional[Dict] = None, + ) -> AsyncIterable[ChatCompletionStreamOutput]: ... + + @overload + async def chat_completion( + self, + messages: List[Union[Dict, ChatCompletionInputMessage]], + *, + model: Optional[str] = None, + stream: bool = False, + frequency_penalty: Optional[float] = None, + logit_bias: Optional[List[float]] = None, + logprobs: Optional[bool] = None, + max_tokens: Optional[int] = None, + n: Optional[int] = None, + presence_penalty: Optional[float] = None, + response_format: Optional[ChatCompletionInputGrammarType] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stream_options: Optional[ChatCompletionInputStreamOptions] = None, + temperature: Optional[float] = None, + tool_choice: Optional[Union[ChatCompletionInputToolChoiceClass, "ChatCompletionInputToolChoiceEnum"]] = None, + tool_prompt: Optional[str] = None, + tools: Optional[List[ChatCompletionInputTool]] = None, + top_logprobs: Optional[int] = None, + top_p: Optional[float] = None, + extra_body: Optional[Dict] = None, + ) -> Union[ChatCompletionOutput, AsyncIterable[ChatCompletionStreamOutput]]: ... + + async def chat_completion( + self, + messages: List[Union[Dict, ChatCompletionInputMessage]], + *, + model: Optional[str] = None, + stream: bool = False, + # Parameters from ChatCompletionInput (handled manually) + frequency_penalty: Optional[float] = None, + logit_bias: Optional[List[float]] = None, + logprobs: Optional[bool] = None, + max_tokens: Optional[int] = None, + n: Optional[int] = None, + presence_penalty: Optional[float] = None, + response_format: Optional[ChatCompletionInputGrammarType] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stream_options: Optional[ChatCompletionInputStreamOptions] = None, + temperature: Optional[float] = None, + tool_choice: Optional[Union[ChatCompletionInputToolChoiceClass, "ChatCompletionInputToolChoiceEnum"]] = None, + tool_prompt: Optional[str] = None, + tools: Optional[List[ChatCompletionInputTool]] = None, + top_logprobs: Optional[int] = None, + top_p: Optional[float] = None, + extra_body: Optional[Dict] = None, + ) -> Union[ChatCompletionOutput, AsyncIterable[ChatCompletionStreamOutput]]: + """ + A method for completing conversations using a specified language model. + + + + The `client.chat_completion` method is aliased as `client.chat.completions.create` for compatibility with OpenAI's client. + Inputs and outputs are strictly the same and using either syntax will yield the same results. + Check out the [Inference guide](https://huggingface.co/docs/huggingface_hub/guides/inference#openai-compatibility) + for more details about OpenAI's compatibility. + + + + + You can pass provider-specific parameters to the model by using the `extra_body` argument. + + + Args: + messages (List of [`ChatCompletionInputMessage`]): + Conversation history consisting of roles and content pairs. + model (`str`, *optional*): + The model to use for chat-completion. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. If not provided, the default recommended model for chat-based text-generation will be used. + See https://huggingface.co/tasks/text-generation for more details. + If `model` is a model ID, it is passed to the server as the `model` parameter. If you want to define a + custom URL while setting `model` in the request payload, you must set `base_url` when initializing [`InferenceClient`]. + frequency_penalty (`float`, *optional*): + Penalizes new tokens based on their existing frequency + in the text so far. Range: [-2.0, 2.0]. Defaults to 0.0. + logit_bias (`List[float]`, *optional*): + Adjusts the likelihood of specific tokens appearing in the generated output. + logprobs (`bool`, *optional*): + Whether to return log probabilities of the output tokens or not. If true, returns the log + probabilities of each output token returned in the content of message. + max_tokens (`int`, *optional*): + Maximum number of tokens allowed in the response. Defaults to 100. + n (`int`, *optional*): + The number of completions to generate for each prompt. + presence_penalty (`float`, *optional*): + Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the + text so far, increasing the model's likelihood to talk about new topics. + response_format ([`ChatCompletionInputGrammarType`], *optional*): + Grammar constraints. Can be either a JSONSchema or a regex. + seed (Optional[`int`], *optional*): + Seed for reproducible control flow. Defaults to None. + stop (`List[str]`, *optional*): + Up to four strings which trigger the end of the response. + Defaults to None. + stream (`bool`, *optional*): + Enable realtime streaming of responses. Defaults to False. + stream_options ([`ChatCompletionInputStreamOptions`], *optional*): + Options for streaming completions. + temperature (`float`, *optional*): + Controls randomness of the generations. Lower values ensure + less random completions. Range: [0, 2]. Defaults to 1.0. + top_logprobs (`int`, *optional*): + An integer between 0 and 5 specifying the number of most likely tokens to return at each token + position, each with an associated log probability. logprobs must be set to true if this parameter is + used. + top_p (`float`, *optional*): + Fraction of the most likely next words to sample from. + Must be between 0 and 1. Defaults to 1.0. + tool_choice ([`ChatCompletionInputToolChoiceClass`] or [`ChatCompletionInputToolChoiceEnum`], *optional*): + The tool to use for the completion. Defaults to "auto". + tool_prompt (`str`, *optional*): + A prompt to be appended before the tools. + tools (List of [`ChatCompletionInputTool`], *optional*): + A list of tools the model may call. Currently, only functions are supported as a tool. Use this to + provide a list of functions the model may generate JSON inputs for. + extra_body (`Dict`, *optional*): + Additional provider-specific parameters to pass to the model. Refer to the provider's documentation + for supported parameters. + Returns: + [`ChatCompletionOutput`] or Iterable of [`ChatCompletionStreamOutput`]: + Generated text returned from the server: + - if `stream=False`, the generated text is returned as a [`ChatCompletionOutput`] (default). + - if `stream=True`, the generated text is returned token by token as a sequence of [`ChatCompletionStreamOutput`]. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> messages = [{"role": "user", "content": "What is the capital of France?"}] + >>> client = AsyncInferenceClient("meta-llama/Meta-Llama-3-8B-Instruct") + >>> await client.chat_completion(messages, max_tokens=100) + ChatCompletionOutput( + choices=[ + ChatCompletionOutputComplete( + finish_reason='eos_token', + index=0, + message=ChatCompletionOutputMessage( + role='assistant', + content='The capital of France is Paris.', + name=None, + tool_calls=None + ), + logprobs=None + ) + ], + created=1719907176, + id='', + model='meta-llama/Meta-Llama-3-8B-Instruct', + object='text_completion', + system_fingerprint='2.0.4-sha-f426a33', + usage=ChatCompletionOutputUsage( + completion_tokens=8, + prompt_tokens=17, + total_tokens=25 + ) + ) + ``` + + Example using streaming: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> messages = [{"role": "user", "content": "What is the capital of France?"}] + >>> client = AsyncInferenceClient("meta-llama/Meta-Llama-3-8B-Instruct") + >>> async for token in await client.chat_completion(messages, max_tokens=10, stream=True): + ... print(token) + ChatCompletionStreamOutput(choices=[ChatCompletionStreamOutputChoice(delta=ChatCompletionStreamOutputDelta(content='The', role='assistant'), index=0, finish_reason=None)], created=1710498504) + ChatCompletionStreamOutput(choices=[ChatCompletionStreamOutputChoice(delta=ChatCompletionStreamOutputDelta(content=' capital', role='assistant'), index=0, finish_reason=None)], created=1710498504) + (...) + ChatCompletionStreamOutput(choices=[ChatCompletionStreamOutputChoice(delta=ChatCompletionStreamOutputDelta(content=' may', role='assistant'), index=0, finish_reason=None)], created=1710498504) + ``` + + Example using OpenAI's syntax: + ```py + # Must be run in an async context + # instead of `from openai import OpenAI` + from huggingface_hub import AsyncInferenceClient + + # instead of `client = OpenAI(...)` + client = AsyncInferenceClient( + base_url=..., + api_key=..., + ) + + output = await client.chat.completions.create( + model="meta-llama/Meta-Llama-3-8B-Instruct", + messages=[ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": "Count to 10"}, + ], + stream=True, + max_tokens=1024, + ) + + for chunk in output: + print(chunk.choices[0].delta.content) + ``` + + Example using a third-party provider directly with extra (provider-specific) parameters. Usage will be billed on your Together AI account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="together", # Use Together AI provider + ... api_key="", # Pass your Together API key directly + ... ) + >>> client.chat_completion( + ... model="meta-llama/Meta-Llama-3-8B-Instruct", + ... messages=[{"role": "user", "content": "What is the capital of France?"}], + ... extra_body={"safety_model": "Meta-Llama/Llama-Guard-7b"}, + ... ) + ``` + + Example using a third-party provider through Hugging Face Routing. Usage will be billed on your Hugging Face account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="sambanova", # Use Sambanova provider + ... api_key="hf_...", # Pass your HF token + ... ) + >>> client.chat_completion( + ... model="meta-llama/Meta-Llama-3-8B-Instruct", + ... messages=[{"role": "user", "content": "What is the capital of France?"}], + ... ) + ``` + + Example using Image + Text as input: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + + # provide a remote URL + >>> image_url ="https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" + # or a base64-encoded image + >>> image_path = "/path/to/image.jpeg" + >>> with open(image_path, "rb") as f: + ... base64_image = base64.b64encode(f.read()).decode("utf-8") + >>> image_url = f"data:image/jpeg;base64,{base64_image}" + + >>> client = AsyncInferenceClient("meta-llama/Llama-3.2-11B-Vision-Instruct") + >>> output = await client.chat.completions.create( + ... messages=[ + ... { + ... "role": "user", + ... "content": [ + ... { + ... "type": "image_url", + ... "image_url": {"url": image_url}, + ... }, + ... { + ... "type": "text", + ... "text": "Describe this image in one sentence.", + ... }, + ... ], + ... }, + ... ], + ... ) + >>> output + The image depicts the iconic Statue of Liberty situated in New York Harbor, New York, on a clear day. + ``` + + Example using tools: + ```py + # Must be run in an async context + >>> client = AsyncInferenceClient("meta-llama/Meta-Llama-3-70B-Instruct") + >>> messages = [ + ... { + ... "role": "system", + ... "content": "Don't make assumptions about what values to plug into functions. Ask for clarification if a user request is ambiguous.", + ... }, + ... { + ... "role": "user", + ... "content": "What's the weather like the next 3 days in San Francisco, CA?", + ... }, + ... ] + >>> tools = [ + ... { + ... "type": "function", + ... "function": { + ... "name": "get_current_weather", + ... "description": "Get the current weather", + ... "parameters": { + ... "type": "object", + ... "properties": { + ... "location": { + ... "type": "string", + ... "description": "The city and state, e.g. San Francisco, CA", + ... }, + ... "format": { + ... "type": "string", + ... "enum": ["celsius", "fahrenheit"], + ... "description": "The temperature unit to use. Infer this from the users location.", + ... }, + ... }, + ... "required": ["location", "format"], + ... }, + ... }, + ... }, + ... { + ... "type": "function", + ... "function": { + ... "name": "get_n_day_weather_forecast", + ... "description": "Get an N-day weather forecast", + ... "parameters": { + ... "type": "object", + ... "properties": { + ... "location": { + ... "type": "string", + ... "description": "The city and state, e.g. San Francisco, CA", + ... }, + ... "format": { + ... "type": "string", + ... "enum": ["celsius", "fahrenheit"], + ... "description": "The temperature unit to use. Infer this from the users location.", + ... }, + ... "num_days": { + ... "type": "integer", + ... "description": "The number of days to forecast", + ... }, + ... }, + ... "required": ["location", "format", "num_days"], + ... }, + ... }, + ... }, + ... ] + + >>> response = await client.chat_completion( + ... model="meta-llama/Meta-Llama-3-70B-Instruct", + ... messages=messages, + ... tools=tools, + ... tool_choice="auto", + ... max_tokens=500, + ... ) + >>> response.choices[0].message.tool_calls[0].function + ChatCompletionOutputFunctionDefinition( + arguments={ + 'location': 'San Francisco, CA', + 'format': 'fahrenheit', + 'num_days': 3 + }, + name='get_n_day_weather_forecast', + description=None + ) + ``` + + Example using response_format: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient("meta-llama/Meta-Llama-3-70B-Instruct") + >>> messages = [ + ... { + ... "role": "user", + ... "content": "I saw a puppy a cat and a raccoon during my bike ride in the park. What did I saw and when?", + ... }, + ... ] + >>> response_format = { + ... "type": "json", + ... "value": { + ... "properties": { + ... "location": {"type": "string"}, + ... "activity": {"type": "string"}, + ... "animals_seen": {"type": "integer", "minimum": 1, "maximum": 5}, + ... "animals": {"type": "array", "items": {"type": "string"}}, + ... }, + ... "required": ["location", "activity", "animals_seen", "animals"], + ... }, + ... } + >>> response = await client.chat_completion( + ... messages=messages, + ... response_format=response_format, + ... max_tokens=500, + ... ) + >>> response.choices[0].message.content + '{\n\n"activity": "bike ride",\n"animals": ["puppy", "cat", "raccoon"],\n"animals_seen": 3,\n"location": "park"}' + ``` + """ + # Since `chat_completion(..., model=xxx)` is also a payload parameter for the server, we need to handle 'model' differently. + # `self.model` takes precedence over 'model' argument for building URL. + # `model` takes precedence for payload value. + model_id_or_url = self.model or model + payload_model = model or self.model + + # Get the provider helper + provider_helper = get_provider_helper( + self.provider, + task="conversational", + model=model_id_or_url + if model_id_or_url is not None and model_id_or_url.startswith(("http://", "https://")) + else payload_model, + ) + + # Prepare the payload + parameters = { + "model": payload_model, + "frequency_penalty": frequency_penalty, + "logit_bias": logit_bias, + "logprobs": logprobs, + "max_tokens": max_tokens, + "n": n, + "presence_penalty": presence_penalty, + "response_format": response_format, + "seed": seed, + "stop": stop, + "temperature": temperature, + "tool_choice": tool_choice, + "tool_prompt": tool_prompt, + "tools": tools, + "top_logprobs": top_logprobs, + "top_p": top_p, + "stream": stream, + "stream_options": stream_options, + **(extra_body or {}), + } + request_parameters = provider_helper.prepare_request( + inputs=messages, + parameters=parameters, + headers=self.headers, + model=model_id_or_url, + api_key=self.token, + ) + data = await self._inner_post(request_parameters, stream=stream) + + if stream: + return _async_stream_chat_completion_response(data) # type: ignore[arg-type] + + return ChatCompletionOutput.parse_obj_as_instance(data) # type: ignore[arg-type] + + async def document_question_answering( + self, + image: ContentT, + question: str, + *, + model: Optional[str] = None, + doc_stride: Optional[int] = None, + handle_impossible_answer: Optional[bool] = None, + lang: Optional[str] = None, + max_answer_len: Optional[int] = None, + max_question_len: Optional[int] = None, + max_seq_len: Optional[int] = None, + top_k: Optional[int] = None, + word_boxes: Optional[List[Union[List[float], str]]] = None, + ) -> List[DocumentQuestionAnsweringOutputElement]: + """ + Answer questions on document images. + + Args: + image (`Union[str, Path, bytes, BinaryIO]`): + The input image for the context. It can be raw bytes, an image file, or a URL to an online image. + question (`str`): + Question to be answered. + model (`str`, *optional*): + The model to use for the document question answering task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended document question answering model will be used. + Defaults to None. + doc_stride (`int`, *optional*): + If the words in the document are too long to fit with the question for the model, it will be split in + several chunks with some overlap. This argument controls the size of that overlap. + handle_impossible_answer (`bool`, *optional*): + Whether to accept impossible as an answer + lang (`str`, *optional*): + Language to use while running OCR. Defaults to english. + max_answer_len (`int`, *optional*): + The maximum length of predicted answers (e.g., only answers with a shorter length are considered). + max_question_len (`int`, *optional*): + The maximum length of the question after tokenization. It will be truncated if needed. + max_seq_len (`int`, *optional*): + The maximum length of the total sentence (context + question) in tokens of each chunk passed to the + model. The context will be split in several chunks (using doc_stride as overlap) if needed. + top_k (`int`, *optional*): + The number of answers to return (will be chosen by order of likelihood). Can return less than top_k + answers if there are not enough options available within the context. + word_boxes (`List[Union[List[float], str`, *optional*): + A list of words and bounding boxes (normalized 0->1000). If provided, the inference will skip the OCR + step and use the provided bounding boxes instead. + Returns: + `List[DocumentQuestionAnsweringOutputElement]`: a list of [`DocumentQuestionAnsweringOutputElement`] items containing the predicted label, associated probability, word ids, and page number. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.document_question_answering(image="https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png", question="What is the invoice number?") + [DocumentQuestionAnsweringOutputElement(answer='us-001', end=16, score=0.9999666213989258, start=16)] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="document-question-answering", model=model_id) + inputs: Dict[str, Any] = {"question": question, "image": _b64_encode(image)} + request_parameters = provider_helper.prepare_request( + inputs=inputs, + parameters={ + "doc_stride": doc_stride, + "handle_impossible_answer": handle_impossible_answer, + "lang": lang, + "max_answer_len": max_answer_len, + "max_question_len": max_question_len, + "max_seq_len": max_seq_len, + "top_k": top_k, + "word_boxes": word_boxes, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return DocumentQuestionAnsweringOutputElement.parse_obj_as_list(response) + + async def feature_extraction( + self, + text: str, + *, + normalize: Optional[bool] = None, + prompt_name: Optional[str] = None, + truncate: Optional[bool] = None, + truncation_direction: Optional[Literal["Left", "Right"]] = None, + model: Optional[str] = None, + ) -> "np.ndarray": + """ + Generate embeddings for a given text. + + Args: + text (`str`): + The text to embed. + model (`str`, *optional*): + The model to use for the feature extraction task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended feature extraction model will be used. + Defaults to None. + normalize (`bool`, *optional*): + Whether to normalize the embeddings or not. + Only available on server powered by Text-Embedding-Inference. + prompt_name (`str`, *optional*): + The name of the prompt that should be used by for encoding. If not set, no prompt will be applied. + Must be a key in the `Sentence Transformers` configuration `prompts` dictionary. + For example if ``prompt_name`` is "query" and the ``prompts`` is {"query": "query: ",...}, + then the sentence "What is the capital of France?" will be encoded as "query: What is the capital of France?" + because the prompt text will be prepended before any text to encode. + truncate (`bool`, *optional*): + Whether to truncate the embeddings or not. + Only available on server powered by Text-Embedding-Inference. + truncation_direction (`Literal["Left", "Right"]`, *optional*): + Which side of the input should be truncated when `truncate=True` is passed. + + Returns: + `np.ndarray`: The embedding representing the input text as a float32 numpy array. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.feature_extraction("Hi, who are you?") + array([[ 2.424802 , 2.93384 , 1.1750331 , ..., 1.240499, -0.13776633, -0.7889173 ], + [-0.42943227, -0.6364878 , -1.693462 , ..., 0.41978157, -2.4336355 , 0.6162071 ], + ..., + [ 0.28552425, -0.928395 , -1.2077185 , ..., 0.76810825, -2.1069427 , 0.6236161 ]], dtype=float32) + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="feature-extraction", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters={ + "normalize": normalize, + "prompt_name": prompt_name, + "truncate": truncate, + "truncation_direction": truncation_direction, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + np = _import_numpy() + return np.array(provider_helper.get_response(response), dtype="float32") + + async def fill_mask( + self, + text: str, + *, + model: Optional[str] = None, + targets: Optional[List[str]] = None, + top_k: Optional[int] = None, + ) -> List[FillMaskOutputElement]: + """ + Fill in a hole with a missing word (token to be precise). + + Args: + text (`str`): + a string to be filled from, must contain the [MASK] token (check model card for exact name of the mask). + model (`str`, *optional*): + The model to use for the fill mask task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended fill mask model will be used. + targets (`List[str`, *optional*): + When passed, the model will limit the scores to the passed targets instead of looking up in the whole + vocabulary. If the provided targets are not in the model vocab, they will be tokenized and the first + resulting token will be used (with a warning, and that might be slower). + top_k (`int`, *optional*): + When passed, overrides the number of predictions to return. + Returns: + `List[FillMaskOutputElement]`: a list of [`FillMaskOutputElement`] items containing the predicted label, associated + probability, token reference, and completed text. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.fill_mask("The goal of life is .") + [ + FillMaskOutputElement(score=0.06897063553333282, token=11098, token_str=' happiness', sequence='The goal of life is happiness.'), + FillMaskOutputElement(score=0.06554922461509705, token=45075, token_str=' immortality', sequence='The goal of life is immortality.') + ] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="fill-mask", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters={"targets": targets, "top_k": top_k}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return FillMaskOutputElement.parse_obj_as_list(response) + + async def image_classification( + self, + image: ContentT, + *, + model: Optional[str] = None, + function_to_apply: Optional["ImageClassificationOutputTransform"] = None, + top_k: Optional[int] = None, + ) -> List[ImageClassificationOutputElement]: + """ + Perform image classification on the given image using the specified model. + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The image to classify. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + model (`str`, *optional*): + The model to use for image classification. Can be a model ID hosted on the Hugging Face Hub or a URL to a + deployed Inference Endpoint. If not provided, the default recommended model for image classification will be used. + function_to_apply (`"ImageClassificationOutputTransform"`, *optional*): + The function to apply to the model outputs in order to retrieve the scores. + top_k (`int`, *optional*): + When specified, limits the output to the top K most probable classes. + Returns: + `List[ImageClassificationOutputElement]`: a list of [`ImageClassificationOutputElement`] items containing the predicted label and associated probability. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.image_classification("https://upload.wikimedia.org/wikipedia/commons/thumb/4/43/Cute_dog.jpg/320px-Cute_dog.jpg") + [ImageClassificationOutputElement(label='Blenheim spaniel', score=0.9779096841812134), ...] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="image-classification", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={"function_to_apply": function_to_apply, "top_k": top_k}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return ImageClassificationOutputElement.parse_obj_as_list(response) + + async def image_segmentation( + self, + image: ContentT, + *, + model: Optional[str] = None, + mask_threshold: Optional[float] = None, + overlap_mask_area_threshold: Optional[float] = None, + subtask: Optional["ImageSegmentationSubtask"] = None, + threshold: Optional[float] = None, + ) -> List[ImageSegmentationOutputElement]: + """ + Perform image segmentation on the given image using the specified model. + + + + You must have `PIL` installed if you want to work with images (`pip install Pillow`). + + + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The image to segment. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + model (`str`, *optional*): + The model to use for image segmentation. Can be a model ID hosted on the Hugging Face Hub or a URL to a + deployed Inference Endpoint. If not provided, the default recommended model for image segmentation will be used. + mask_threshold (`float`, *optional*): + Threshold to use when turning the predicted masks into binary values. + overlap_mask_area_threshold (`float`, *optional*): + Mask overlap threshold to eliminate small, disconnected segments. + subtask (`"ImageSegmentationSubtask"`, *optional*): + Segmentation task to be performed, depending on model capabilities. + threshold (`float`, *optional*): + Probability threshold to filter out predicted masks. + Returns: + `List[ImageSegmentationOutputElement]`: A list of [`ImageSegmentationOutputElement`] items containing the segmented masks and associated attributes. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.image_segmentation("cat.jpg") + [ImageSegmentationOutputElement(score=0.989008, label='LABEL_184', mask=), ...] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="image-segmentation", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={ + "mask_threshold": mask_threshold, + "overlap_mask_area_threshold": overlap_mask_area_threshold, + "subtask": subtask, + "threshold": threshold, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + output = ImageSegmentationOutputElement.parse_obj_as_list(response) + for item in output: + item.mask = _b64_to_image(item.mask) # type: ignore [assignment] + return output + + async def image_to_image( + self, + image: ContentT, + prompt: Optional[str] = None, + *, + negative_prompt: Optional[str] = None, + num_inference_steps: Optional[int] = None, + guidance_scale: Optional[float] = None, + model: Optional[str] = None, + target_size: Optional[ImageToImageTargetSize] = None, + **kwargs, + ) -> "Image": + """ + Perform image-to-image translation using a specified model. + + + + You must have `PIL` installed if you want to work with images (`pip install Pillow`). + + + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The input image for translation. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + prompt (`str`, *optional*): + The text prompt to guide the image generation. + negative_prompt (`str`, *optional*): + One prompt to guide what NOT to include in image generation. + num_inference_steps (`int`, *optional*): + For diffusion models. The number of denoising steps. More denoising steps usually lead to a higher + quality image at the expense of slower inference. + guidance_scale (`float`, *optional*): + For diffusion models. A higher guidance scale value encourages the model to generate images closely + linked to the text prompt at the expense of lower image quality. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. This parameter overrides the model defined at the instance level. Defaults to None. + target_size (`ImageToImageTargetSize`, *optional*): + The size in pixel of the output image. + + Returns: + `Image`: The translated image. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> image = await client.image_to_image("cat.jpg", prompt="turn the cat into a tiger") + >>> image.save("tiger.jpg") + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="image-to-image", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={ + "prompt": prompt, + "negative_prompt": negative_prompt, + "target_size": target_size, + "num_inference_steps": num_inference_steps, + "guidance_scale": guidance_scale, + **kwargs, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + response = provider_helper.get_response(response, request_parameters) + return _bytes_to_image(response) + + async def image_to_video( + self, + image: ContentT, + *, + model: Optional[str] = None, + prompt: Optional[str] = None, + negative_prompt: Optional[str] = None, + num_frames: Optional[float] = None, + num_inference_steps: Optional[int] = None, + guidance_scale: Optional[float] = None, + seed: Optional[int] = None, + target_size: Optional[ImageToVideoTargetSize] = None, + **kwargs, + ) -> bytes: + """ + Generate a video from an input image. + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The input image to generate a video from. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. This parameter overrides the model defined at the instance level. Defaults to None. + prompt (`str`, *optional*): + The text prompt to guide the video generation. + negative_prompt (`str`, *optional*): + One prompt to guide what NOT to include in video generation. + num_frames (`float`, *optional*): + The num_frames parameter determines how many video frames are generated. + num_inference_steps (`int`, *optional*): + For diffusion models. The number of denoising steps. More denoising steps usually lead to a higher + quality image at the expense of slower inference. + guidance_scale (`float`, *optional*): + For diffusion models. A higher guidance scale value encourages the model to generate videos closely + linked to the text prompt at the expense of lower image quality. + seed (`int`, *optional*): + The seed to use for the video generation. + target_size (`ImageToVideoTargetSize`, *optional*): + The size in pixel of the output video frames. + num_inference_steps (`int`, *optional*): + The number of denoising steps. More denoising steps usually lead to a higher quality video at the + expense of slower inference. + seed (`int`, *optional*): + Seed for the random number generator. + + Returns: + `bytes`: The generated video. + + Examples: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> video = await client.image_to_video("cat.jpg", model="Wan-AI/Wan2.2-I2V-A14B", prompt="turn the cat into a tiger") + >>> with open("tiger.mp4", "wb") as f: + ... f.write(video) + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="image-to-video", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={ + "prompt": prompt, + "negative_prompt": negative_prompt, + "num_frames": num_frames, + "num_inference_steps": num_inference_steps, + "guidance_scale": guidance_scale, + "seed": seed, + "target_size": target_size, + **kwargs, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + response = provider_helper.get_response(response, request_parameters) + return response + + async def image_to_text(self, image: ContentT, *, model: Optional[str] = None) -> ImageToTextOutput: + """ + Takes an input image and return text. + + Models can have very different outputs depending on your use case (image captioning, optical character recognition + (OCR), Pix2Struct, etc). Please have a look to the model card to learn more about a model's specificities. + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The input image to caption. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. This parameter overrides the model defined at the instance level. Defaults to None. + + Returns: + [`ImageToTextOutput`]: The generated text. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.image_to_text("cat.jpg") + 'a cat standing in a grassy field ' + >>> await client.image_to_text("https://upload.wikimedia.org/wikipedia/commons/thumb/4/43/Cute_dog.jpg/320px-Cute_dog.jpg") + 'a dog laying on the grass next to a flower pot ' + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="image-to-text", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + output = ImageToTextOutput.parse_obj(response) + return output[0] if isinstance(output, list) else output + + async def object_detection( + self, image: ContentT, *, model: Optional[str] = None, threshold: Optional[float] = None + ) -> List[ObjectDetectionOutputElement]: + """ + Perform object detection on the given image using the specified model. + + + + You must have `PIL` installed if you want to work with images (`pip install Pillow`). + + + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The image to detect objects on. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + model (`str`, *optional*): + The model to use for object detection. Can be a model ID hosted on the Hugging Face Hub or a URL to a + deployed Inference Endpoint. If not provided, the default recommended model for object detection (DETR) will be used. + threshold (`float`, *optional*): + The probability necessary to make a prediction. + Returns: + `List[ObjectDetectionOutputElement]`: A list of [`ObjectDetectionOutputElement`] items containing the bounding boxes and associated attributes. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + `ValueError`: + If the request output is not a List. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.object_detection("people.jpg") + [ObjectDetectionOutputElement(score=0.9486683011054993, label='person', box=ObjectDetectionBoundingBox(xmin=59, ymin=39, xmax=420, ymax=510)), ...] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="object-detection", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={"threshold": threshold}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return ObjectDetectionOutputElement.parse_obj_as_list(response) + + async def question_answering( + self, + question: str, + context: str, + *, + model: Optional[str] = None, + align_to_words: Optional[bool] = None, + doc_stride: Optional[int] = None, + handle_impossible_answer: Optional[bool] = None, + max_answer_len: Optional[int] = None, + max_question_len: Optional[int] = None, + max_seq_len: Optional[int] = None, + top_k: Optional[int] = None, + ) -> Union[QuestionAnsweringOutputElement, List[QuestionAnsweringOutputElement]]: + """ + Retrieve the answer to a question from a given text. + + Args: + question (`str`): + Question to be answered. + context (`str`): + The context of the question. + model (`str`): + The model to use for the question answering task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. + align_to_words (`bool`, *optional*): + Attempts to align the answer to real words. Improves quality on space separated languages. Might hurt + on non-space-separated languages (like Japanese or Chinese) + doc_stride (`int`, *optional*): + If the context is too long to fit with the question for the model, it will be split in several chunks + with some overlap. This argument controls the size of that overlap. + handle_impossible_answer (`bool`, *optional*): + Whether to accept impossible as an answer. + max_answer_len (`int`, *optional*): + The maximum length of predicted answers (e.g., only answers with a shorter length are considered). + max_question_len (`int`, *optional*): + The maximum length of the question after tokenization. It will be truncated if needed. + max_seq_len (`int`, *optional*): + The maximum length of the total sentence (context + question) in tokens of each chunk passed to the + model. The context will be split in several chunks (using docStride as overlap) if needed. + top_k (`int`, *optional*): + The number of answers to return (will be chosen by order of likelihood). Note that we return less than + topk answers if there are not enough options available within the context. + + Returns: + Union[`QuestionAnsweringOutputElement`, List[`QuestionAnsweringOutputElement`]]: + When top_k is 1 or not provided, it returns a single `QuestionAnsweringOutputElement`. + When top_k is greater than 1, it returns a list of `QuestionAnsweringOutputElement`. + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.question_answering(question="What's my name?", context="My name is Clara and I live in Berkeley.") + QuestionAnsweringOutputElement(answer='Clara', end=16, score=0.9326565265655518, start=11) + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="question-answering", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs={"question": question, "context": context}, + parameters={ + "align_to_words": align_to_words, + "doc_stride": doc_stride, + "handle_impossible_answer": handle_impossible_answer, + "max_answer_len": max_answer_len, + "max_question_len": max_question_len, + "max_seq_len": max_seq_len, + "top_k": top_k, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + # Parse the response as a single `QuestionAnsweringOutputElement` when top_k is 1 or not provided, or a list of `QuestionAnsweringOutputElement` to ensure backward compatibility. + output = QuestionAnsweringOutputElement.parse_obj(response) + return output + + async def sentence_similarity( + self, sentence: str, other_sentences: List[str], *, model: Optional[str] = None + ) -> List[float]: + """ + Compute the semantic similarity between a sentence and a list of other sentences by comparing their embeddings. + + Args: + sentence (`str`): + The main sentence to compare to others. + other_sentences (`List[str]`): + The list of sentences to compare to. + model (`str`, *optional*): + The model to use for the sentence similarity task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended sentence similarity model will be used. + Defaults to None. + + Returns: + `List[float]`: The embedding representing the input text. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.sentence_similarity( + ... "Machine learning is so easy.", + ... other_sentences=[ + ... "Deep learning is so straightforward.", + ... "This is so difficult, like rocket science.", + ... "I can't believe how much I struggled with this.", + ... ], + ... ) + [0.7785726189613342, 0.45876261591911316, 0.2906220555305481] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="sentence-similarity", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs={"source_sentence": sentence, "sentences": other_sentences}, + parameters={}, + extra_payload={}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return _bytes_to_list(response) + + async def summarization( + self, + text: str, + *, + model: Optional[str] = None, + clean_up_tokenization_spaces: Optional[bool] = None, + generate_parameters: Optional[Dict[str, Any]] = None, + truncation: Optional["SummarizationTruncationStrategy"] = None, + ) -> SummarizationOutput: + """ + Generate a summary of a given text using a specified model. + + Args: + text (`str`): + The input text to summarize. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. If not provided, the default recommended model for summarization will be used. + clean_up_tokenization_spaces (`bool`, *optional*): + Whether to clean up the potential extra spaces in the text output. + generate_parameters (`Dict[str, Any]`, *optional*): + Additional parametrization of the text generation algorithm. + truncation (`"SummarizationTruncationStrategy"`, *optional*): + The truncation strategy to use. + Returns: + [`SummarizationOutput`]: The generated summary text. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.summarization("The Eiffel tower...") + SummarizationOutput(generated_text="The Eiffel tower is one of the most famous landmarks in the world....") + ``` + """ + parameters = { + "clean_up_tokenization_spaces": clean_up_tokenization_spaces, + "generate_parameters": generate_parameters, + "truncation": truncation, + } + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="summarization", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters=parameters, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return SummarizationOutput.parse_obj_as_list(response)[0] + + async def table_question_answering( + self, + table: Dict[str, Any], + query: str, + *, + model: Optional[str] = None, + padding: Optional["Padding"] = None, + sequential: Optional[bool] = None, + truncation: Optional[bool] = None, + ) -> TableQuestionAnsweringOutputElement: + """ + Retrieve the answer to a question from information given in a table. + + Args: + table (`str`): + A table of data represented as a dict of lists where entries are headers and the lists are all the + values, all lists must have the same size. + query (`str`): + The query in plain text that you want to ask the table. + model (`str`): + The model to use for the table-question-answering task. Can be a model ID hosted on the Hugging Face + Hub or a URL to a deployed Inference Endpoint. + padding (`"Padding"`, *optional*): + Activates and controls padding. + sequential (`bool`, *optional*): + Whether to do inference sequentially or as a batch. Batching is faster, but models like SQA require the + inference to be done sequentially to extract relations within sequences, given their conversational + nature. + truncation (`bool`, *optional*): + Activates and controls truncation. + + Returns: + [`TableQuestionAnsweringOutputElement`]: a table question answering output containing the answer, coordinates, cells and the aggregator used. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> query = "How many stars does the transformers repository have?" + >>> table = {"Repository": ["Transformers", "Datasets", "Tokenizers"], "Stars": ["36542", "4512", "3934"]} + >>> await client.table_question_answering(table, query, model="google/tapas-base-finetuned-wtq") + TableQuestionAnsweringOutputElement(answer='36542', coordinates=[[0, 1]], cells=['36542'], aggregator='AVERAGE') + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="table-question-answering", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs={"query": query, "table": table}, + parameters={"model": model, "padding": padding, "sequential": sequential, "truncation": truncation}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return TableQuestionAnsweringOutputElement.parse_obj_as_instance(response) + + async def tabular_classification(self, table: Dict[str, Any], *, model: Optional[str] = None) -> List[str]: + """ + Classifying a target category (a group) based on a set of attributes. + + Args: + table (`Dict[str, Any]`): + Set of attributes to classify. + model (`str`, *optional*): + The model to use for the tabular classification task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended tabular classification model will be used. + Defaults to None. + + Returns: + `List`: a list of labels, one per row in the initial table. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> table = { + ... "fixed_acidity": ["7.4", "7.8", "10.3"], + ... "volatile_acidity": ["0.7", "0.88", "0.32"], + ... "citric_acid": ["0", "0", "0.45"], + ... "residual_sugar": ["1.9", "2.6", "6.4"], + ... "chlorides": ["0.076", "0.098", "0.073"], + ... "free_sulfur_dioxide": ["11", "25", "5"], + ... "total_sulfur_dioxide": ["34", "67", "13"], + ... "density": ["0.9978", "0.9968", "0.9976"], + ... "pH": ["3.51", "3.2", "3.23"], + ... "sulphates": ["0.56", "0.68", "0.82"], + ... "alcohol": ["9.4", "9.8", "12.6"], + ... } + >>> await client.tabular_classification(table=table, model="julien-c/wine-quality") + ["5", "5", "5"] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="tabular-classification", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=None, + extra_payload={"table": table}, + parameters={}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return _bytes_to_list(response) + + async def tabular_regression(self, table: Dict[str, Any], *, model: Optional[str] = None) -> List[float]: + """ + Predicting a numerical target value given a set of attributes/features in a table. + + Args: + table (`Dict[str, Any]`): + Set of attributes stored in a table. The attributes used to predict the target can be both numerical and categorical. + model (`str`, *optional*): + The model to use for the tabular regression task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended tabular regression model will be used. + Defaults to None. + + Returns: + `List`: a list of predicted numerical target values. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> table = { + ... "Height": ["11.52", "12.48", "12.3778"], + ... "Length1": ["23.2", "24", "23.9"], + ... "Length2": ["25.4", "26.3", "26.5"], + ... "Length3": ["30", "31.2", "31.1"], + ... "Species": ["Bream", "Bream", "Bream"], + ... "Width": ["4.02", "4.3056", "4.6961"], + ... } + >>> await client.tabular_regression(table, model="scikit-learn/Fish-Weight") + [110, 120, 130] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="tabular-regression", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=None, + parameters={}, + extra_payload={"table": table}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return _bytes_to_list(response) + + async def text_classification( + self, + text: str, + *, + model: Optional[str] = None, + top_k: Optional[int] = None, + function_to_apply: Optional["TextClassificationOutputTransform"] = None, + ) -> List[TextClassificationOutputElement]: + """ + Perform text classification (e.g. sentiment-analysis) on the given text. + + Args: + text (`str`): + A string to be classified. + model (`str`, *optional*): + The model to use for the text classification task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended text classification model will be used. + Defaults to None. + top_k (`int`, *optional*): + When specified, limits the output to the top K most probable classes. + function_to_apply (`"TextClassificationOutputTransform"`, *optional*): + The function to apply to the model outputs in order to retrieve the scores. + + Returns: + `List[TextClassificationOutputElement]`: a list of [`TextClassificationOutputElement`] items containing the predicted label and associated probability. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.text_classification("I like you") + [ + TextClassificationOutputElement(label='POSITIVE', score=0.9998695850372314), + TextClassificationOutputElement(label='NEGATIVE', score=0.0001304351753788069), + ] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="text-classification", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters={ + "function_to_apply": function_to_apply, + "top_k": top_k, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return TextClassificationOutputElement.parse_obj_as_list(response)[0] # type: ignore [return-value] + + @overload + async def text_generation( + self, + prompt: str, + *, + details: Literal[True], + stream: Literal[True], + model: Optional[str] = None, + # Parameters from `TextGenerationInputGenerateParameters` (maintained manually) + adapter_id: Optional[str] = None, + best_of: Optional[int] = None, + decoder_input_details: Optional[bool] = None, + do_sample: Optional[bool] = None, + frequency_penalty: Optional[float] = None, + grammar: Optional[TextGenerationInputGrammarType] = None, + max_new_tokens: Optional[int] = None, + repetition_penalty: Optional[float] = None, + return_full_text: Optional[bool] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stop_sequences: Optional[List[str]] = None, # Deprecated, use `stop` instead + temperature: Optional[float] = None, + top_k: Optional[int] = None, + top_n_tokens: Optional[int] = None, + top_p: Optional[float] = None, + truncate: Optional[int] = None, + typical_p: Optional[float] = None, + watermark: Optional[bool] = None, + ) -> AsyncIterable[TextGenerationStreamOutput]: ... + + @overload + async def text_generation( + self, + prompt: str, + *, + details: Literal[True], + stream: Optional[Literal[False]] = None, + model: Optional[str] = None, + # Parameters from `TextGenerationInputGenerateParameters` (maintained manually) + adapter_id: Optional[str] = None, + best_of: Optional[int] = None, + decoder_input_details: Optional[bool] = None, + do_sample: Optional[bool] = None, + frequency_penalty: Optional[float] = None, + grammar: Optional[TextGenerationInputGrammarType] = None, + max_new_tokens: Optional[int] = None, + repetition_penalty: Optional[float] = None, + return_full_text: Optional[bool] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stop_sequences: Optional[List[str]] = None, # Deprecated, use `stop` instead + temperature: Optional[float] = None, + top_k: Optional[int] = None, + top_n_tokens: Optional[int] = None, + top_p: Optional[float] = None, + truncate: Optional[int] = None, + typical_p: Optional[float] = None, + watermark: Optional[bool] = None, + ) -> TextGenerationOutput: ... + + @overload + async def text_generation( + self, + prompt: str, + *, + details: Optional[Literal[False]] = None, + stream: Literal[True], + model: Optional[str] = None, + # Parameters from `TextGenerationInputGenerateParameters` (maintained manually) + adapter_id: Optional[str] = None, + best_of: Optional[int] = None, + decoder_input_details: Optional[bool] = None, + do_sample: Optional[bool] = None, + frequency_penalty: Optional[float] = None, + grammar: Optional[TextGenerationInputGrammarType] = None, + max_new_tokens: Optional[int] = None, + repetition_penalty: Optional[float] = None, + return_full_text: Optional[bool] = None, # Manual default value + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stop_sequences: Optional[List[str]] = None, # Deprecated, use `stop` instead + temperature: Optional[float] = None, + top_k: Optional[int] = None, + top_n_tokens: Optional[int] = None, + top_p: Optional[float] = None, + truncate: Optional[int] = None, + typical_p: Optional[float] = None, + watermark: Optional[bool] = None, + ) -> AsyncIterable[str]: ... + + @overload + async def text_generation( + self, + prompt: str, + *, + details: Optional[Literal[False]] = None, + stream: Optional[Literal[False]] = None, + model: Optional[str] = None, + # Parameters from `TextGenerationInputGenerateParameters` (maintained manually) + adapter_id: Optional[str] = None, + best_of: Optional[int] = None, + decoder_input_details: Optional[bool] = None, + do_sample: Optional[bool] = None, + frequency_penalty: Optional[float] = None, + grammar: Optional[TextGenerationInputGrammarType] = None, + max_new_tokens: Optional[int] = None, + repetition_penalty: Optional[float] = None, + return_full_text: Optional[bool] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stop_sequences: Optional[List[str]] = None, # Deprecated, use `stop` instead + temperature: Optional[float] = None, + top_k: Optional[int] = None, + top_n_tokens: Optional[int] = None, + top_p: Optional[float] = None, + truncate: Optional[int] = None, + typical_p: Optional[float] = None, + watermark: Optional[bool] = None, + ) -> str: ... + + @overload + async def text_generation( + self, + prompt: str, + *, + details: Optional[bool] = None, + stream: Optional[bool] = None, + model: Optional[str] = None, + # Parameters from `TextGenerationInputGenerateParameters` (maintained manually) + adapter_id: Optional[str] = None, + best_of: Optional[int] = None, + decoder_input_details: Optional[bool] = None, + do_sample: Optional[bool] = None, + frequency_penalty: Optional[float] = None, + grammar: Optional[TextGenerationInputGrammarType] = None, + max_new_tokens: Optional[int] = None, + repetition_penalty: Optional[float] = None, + return_full_text: Optional[bool] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stop_sequences: Optional[List[str]] = None, # Deprecated, use `stop` instead + temperature: Optional[float] = None, + top_k: Optional[int] = None, + top_n_tokens: Optional[int] = None, + top_p: Optional[float] = None, + truncate: Optional[int] = None, + typical_p: Optional[float] = None, + watermark: Optional[bool] = None, + ) -> Union[str, TextGenerationOutput, AsyncIterable[str], AsyncIterable[TextGenerationStreamOutput]]: ... + + async def text_generation( + self, + prompt: str, + *, + details: Optional[bool] = None, + stream: Optional[bool] = None, + model: Optional[str] = None, + # Parameters from `TextGenerationInputGenerateParameters` (maintained manually) + adapter_id: Optional[str] = None, + best_of: Optional[int] = None, + decoder_input_details: Optional[bool] = None, + do_sample: Optional[bool] = None, + frequency_penalty: Optional[float] = None, + grammar: Optional[TextGenerationInputGrammarType] = None, + max_new_tokens: Optional[int] = None, + repetition_penalty: Optional[float] = None, + return_full_text: Optional[bool] = None, + seed: Optional[int] = None, + stop: Optional[List[str]] = None, + stop_sequences: Optional[List[str]] = None, # Deprecated, use `stop` instead + temperature: Optional[float] = None, + top_k: Optional[int] = None, + top_n_tokens: Optional[int] = None, + top_p: Optional[float] = None, + truncate: Optional[int] = None, + typical_p: Optional[float] = None, + watermark: Optional[bool] = None, + ) -> Union[str, TextGenerationOutput, AsyncIterable[str], AsyncIterable[TextGenerationStreamOutput]]: + """ + Given a prompt, generate the following text. + + + + If you want to generate a response from chat messages, you should use the [`InferenceClient.chat_completion`] method. + It accepts a list of messages instead of a single text prompt and handles the chat templating for you. + + + + Args: + prompt (`str`): + Input text. + details (`bool`, *optional*): + By default, text_generation returns a string. Pass `details=True` if you want a detailed output (tokens, + probabilities, seed, finish reason, etc.). Only available for models running on with the + `text-generation-inference` backend. + stream (`bool`, *optional*): + By default, text_generation returns the full generated text. Pass `stream=True` if you want a stream of + tokens to be returned. Only available for models running on with the `text-generation-inference` + backend. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. This parameter overrides the model defined at the instance level. Defaults to None. + adapter_id (`str`, *optional*): + Lora adapter id. + best_of (`int`, *optional*): + Generate best_of sequences and return the one if the highest token logprobs. + decoder_input_details (`bool`, *optional*): + Return the decoder input token logprobs and ids. You must set `details=True` as well for it to be taken + into account. Defaults to `False`. + do_sample (`bool`, *optional*): + Activate logits sampling + frequency_penalty (`float`, *optional*): + Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in + the text so far, decreasing the model's likelihood to repeat the same line verbatim. + grammar ([`TextGenerationInputGrammarType`], *optional*): + Grammar constraints. Can be either a JSONSchema or a regex. + max_new_tokens (`int`, *optional*): + Maximum number of generated tokens. Defaults to 100. + repetition_penalty (`float`, *optional*): + The parameter for repetition penalty. 1.0 means no penalty. See [this + paper](https://arxiv.org/pdf/1909.05858.pdf) for more details. + return_full_text (`bool`, *optional*): + Whether to prepend the prompt to the generated text + seed (`int`, *optional*): + Random sampling seed + stop (`List[str]`, *optional*): + Stop generating tokens if a member of `stop` is generated. + stop_sequences (`List[str]`, *optional*): + Deprecated argument. Use `stop` instead. + temperature (`float`, *optional*): + The value used to module the logits distribution. + top_n_tokens (`int`, *optional*): + Return information about the `top_n_tokens` most likely tokens at each generation step, instead of + just the sampled token. + top_k (`int`, *optional`): + The number of highest probability vocabulary tokens to keep for top-k-filtering. + top_p (`float`, *optional`): + If set to < 1, only the smallest set of most probable tokens with probabilities that add up to `top_p` or + higher are kept for generation. + truncate (`int`, *optional`): + Truncate inputs tokens to the given size. + typical_p (`float`, *optional`): + Typical Decoding mass + See [Typical Decoding for Natural Language Generation](https://arxiv.org/abs/2202.00666) for more information + watermark (`bool`, *optional*): + Watermarking with [A Watermark for Large Language Models](https://arxiv.org/abs/2301.10226) + + Returns: + `Union[str, TextGenerationOutput, Iterable[str], Iterable[TextGenerationStreamOutput]]`: + Generated text returned from the server: + - if `stream=False` and `details=False`, the generated text is returned as a `str` (default) + - if `stream=True` and `details=False`, the generated text is returned token by token as a `Iterable[str]` + - if `stream=False` and `details=True`, the generated text is returned with more details as a [`~huggingface_hub.TextGenerationOutput`] + - if `details=True` and `stream=True`, the generated text is returned token by token as a iterable of [`~huggingface_hub.TextGenerationStreamOutput`] + + Raises: + `ValidationError`: + If input values are not valid. No HTTP call is made to the server. + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + + # Case 1: generate text + >>> await client.text_generation("The huggingface_hub library is ", max_new_tokens=12) + '100% open source and built to be easy to use.' + + # Case 2: iterate over the generated tokens. Useful for large generation. + >>> async for token in await client.text_generation("The huggingface_hub library is ", max_new_tokens=12, stream=True): + ... print(token) + 100 + % + open + source + and + built + to + be + easy + to + use + . + + # Case 3: get more details about the generation process. + >>> await client.text_generation("The huggingface_hub library is ", max_new_tokens=12, details=True) + TextGenerationOutput( + generated_text='100% open source and built to be easy to use.', + details=TextGenerationDetails( + finish_reason='length', + generated_tokens=12, + seed=None, + prefill=[ + TextGenerationPrefillOutputToken(id=487, text='The', logprob=None), + TextGenerationPrefillOutputToken(id=53789, text=' hugging', logprob=-13.171875), + (...) + TextGenerationPrefillOutputToken(id=204, text=' ', logprob=-7.0390625) + ], + tokens=[ + TokenElement(id=1425, text='100', logprob=-1.0175781, special=False), + TokenElement(id=16, text='%', logprob=-0.0463562, special=False), + (...) + TokenElement(id=25, text='.', logprob=-0.5703125, special=False) + ], + best_of_sequences=None + ) + ) + + # Case 4: iterate over the generated tokens with more details. + # Last object is more complete, containing the full generated text and the finish reason. + >>> async for details in await client.text_generation("The huggingface_hub library is ", max_new_tokens=12, details=True, stream=True): + ... print(details) + ... + TextGenerationStreamOutput(token=TokenElement(id=1425, text='100', logprob=-1.0175781, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=16, text='%', logprob=-0.0463562, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=1314, text=' open', logprob=-1.3359375, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=3178, text=' source', logprob=-0.28100586, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=273, text=' and', logprob=-0.5961914, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=3426, text=' built', logprob=-1.9423828, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=271, text=' to', logprob=-1.4121094, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=314, text=' be', logprob=-1.5224609, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=1833, text=' easy', logprob=-2.1132812, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=271, text=' to', logprob=-0.08520508, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement(id=745, text=' use', logprob=-0.39453125, special=False), generated_text=None, details=None) + TextGenerationStreamOutput(token=TokenElement( + id=25, + text='.', + logprob=-0.5703125, + special=False), + generated_text='100% open source and built to be easy to use.', + details=TextGenerationStreamOutputStreamDetails(finish_reason='length', generated_tokens=12, seed=None) + ) + + # Case 5: generate constrained output using grammar + >>> response = await client.text_generation( + ... prompt="I saw a puppy a cat and a raccoon during my bike ride in the park", + ... model="HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1", + ... max_new_tokens=100, + ... repetition_penalty=1.3, + ... grammar={ + ... "type": "json", + ... "value": { + ... "properties": { + ... "location": {"type": "string"}, + ... "activity": {"type": "string"}, + ... "animals_seen": {"type": "integer", "minimum": 1, "maximum": 5}, + ... "animals": {"type": "array", "items": {"type": "string"}}, + ... }, + ... "required": ["location", "activity", "animals_seen", "animals"], + ... }, + ... }, + ... ) + >>> json.loads(response) + { + "activity": "bike riding", + "animals": ["puppy", "cat", "raccoon"], + "animals_seen": 3, + "location": "park" + } + ``` + """ + if decoder_input_details and not details: + warnings.warn( + "`decoder_input_details=True` has been passed to the server but `details=False` is set meaning that" + " the output from the server will be truncated." + ) + decoder_input_details = False + + if stop_sequences is not None: + warnings.warn( + "`stop_sequences` is a deprecated argument for `text_generation` task" + " and will be removed in version '0.28.0'. Use `stop` instead.", + FutureWarning, + ) + if stop is None: + stop = stop_sequences # use deprecated arg if provided + + # Build payload + parameters = { + "adapter_id": adapter_id, + "best_of": best_of, + "decoder_input_details": decoder_input_details, + "details": details, + "do_sample": do_sample, + "frequency_penalty": frequency_penalty, + "grammar": grammar, + "max_new_tokens": max_new_tokens, + "repetition_penalty": repetition_penalty, + "return_full_text": return_full_text, + "seed": seed, + "stop": stop, + "temperature": temperature, + "top_k": top_k, + "top_n_tokens": top_n_tokens, + "top_p": top_p, + "truncate": truncate, + "typical_p": typical_p, + "watermark": watermark, + } + + # Remove some parameters if not a TGI server + unsupported_kwargs = _get_unsupported_text_generation_kwargs(model) + if len(unsupported_kwargs) > 0: + # The server does not support some parameters + # => means it is not a TGI server + # => remove unsupported parameters and warn the user + + ignored_parameters = [] + for key in unsupported_kwargs: + if parameters.get(key): + ignored_parameters.append(key) + parameters.pop(key, None) + if len(ignored_parameters) > 0: + warnings.warn( + "API endpoint/model for text-generation is not served via TGI. Ignoring following parameters:" + f" {', '.join(ignored_parameters)}.", + UserWarning, + ) + if details: + warnings.warn( + "API endpoint/model for text-generation is not served via TGI. Parameter `details=True` will" + " be ignored meaning only the generated text will be returned.", + UserWarning, + ) + details = False + if stream: + raise ValueError( + "API endpoint/model for text-generation is not served via TGI. Cannot return output as a stream." + " Please pass `stream=False` as input." + ) + + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="text-generation", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=prompt, + parameters=parameters, + extra_payload={"stream": stream}, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + + # Handle errors separately for more precise error messages + try: + bytes_output = await self._inner_post(request_parameters, stream=stream or False) + except _import_aiohttp().ClientResponseError as e: + match = MODEL_KWARGS_NOT_USED_REGEX.search(e.response_error_payload["error"]) + if e.status == 400 and match: + unused_params = [kwarg.strip("' ") for kwarg in match.group(1).split(",")] + _set_unsupported_text_generation_kwargs(model, unused_params) + return await self.text_generation( # type: ignore + prompt=prompt, + details=details, + stream=stream, + model=model_id, + adapter_id=adapter_id, + best_of=best_of, + decoder_input_details=decoder_input_details, + do_sample=do_sample, + frequency_penalty=frequency_penalty, + grammar=grammar, + max_new_tokens=max_new_tokens, + repetition_penalty=repetition_penalty, + return_full_text=return_full_text, + seed=seed, + stop=stop, + temperature=temperature, + top_k=top_k, + top_n_tokens=top_n_tokens, + top_p=top_p, + truncate=truncate, + typical_p=typical_p, + watermark=watermark, + ) + raise_text_generation_error(e) + + # Parse output + if stream: + return _async_stream_text_generation_response(bytes_output, details) # type: ignore + + data = _bytes_to_dict(bytes_output) # type: ignore[arg-type] + + # Data can be a single element (dict) or an iterable of dicts where we select the first element of. + if isinstance(data, list): + data = data[0] + response = provider_helper.get_response(data, request_parameters) + return TextGenerationOutput.parse_obj_as_instance(response) if details else response["generated_text"] + + async def text_to_image( + self, + prompt: str, + *, + negative_prompt: Optional[str] = None, + height: Optional[int] = None, + width: Optional[int] = None, + num_inference_steps: Optional[int] = None, + guidance_scale: Optional[float] = None, + model: Optional[str] = None, + scheduler: Optional[str] = None, + seed: Optional[int] = None, + extra_body: Optional[Dict[str, Any]] = None, + ) -> "Image": + """ + Generate an image based on a given text using a specified model. + + + + You must have `PIL` installed if you want to work with images (`pip install Pillow`). + + + + + You can pass provider-specific parameters to the model by using the `extra_body` argument. + + + Args: + prompt (`str`): + The prompt to generate an image from. + negative_prompt (`str`, *optional*): + One prompt to guide what NOT to include in image generation. + height (`int`, *optional*): + The height in pixels of the output image + width (`int`, *optional*): + The width in pixels of the output image + num_inference_steps (`int`, *optional*): + The number of denoising steps. More denoising steps usually lead to a higher quality image at the + expense of slower inference. + guidance_scale (`float`, *optional*): + A higher guidance scale value encourages the model to generate images closely linked to the text + prompt, but values too high may cause saturation and other artifacts. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. If not provided, the default recommended text-to-image model will be used. + Defaults to None. + scheduler (`str`, *optional*): + Override the scheduler with a compatible one. + seed (`int`, *optional*): + Seed for the random number generator. + extra_body (`Dict[str, Any]`, *optional*): + Additional provider-specific parameters to pass to the model. Refer to the provider's documentation + for supported parameters. + + Returns: + `Image`: The generated image. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + + >>> image = await client.text_to_image("An astronaut riding a horse on the moon.") + >>> image.save("astronaut.png") + + >>> image = await client.text_to_image( + ... "An astronaut riding a horse on the moon.", + ... negative_prompt="low resolution, blurry", + ... model="stabilityai/stable-diffusion-2-1", + ... ) + >>> image.save("better_astronaut.png") + ``` + Example using a third-party provider directly. Usage will be billed on your fal.ai account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="fal-ai", # Use fal.ai provider + ... api_key="fal-ai-api-key", # Pass your fal.ai API key + ... ) + >>> image = client.text_to_image( + ... "A majestic lion in a fantasy forest", + ... model="black-forest-labs/FLUX.1-schnell", + ... ) + >>> image.save("lion.png") + ``` + + Example using a third-party provider through Hugging Face Routing. Usage will be billed on your Hugging Face account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="replicate", # Use replicate provider + ... api_key="hf_...", # Pass your HF token + ... ) + >>> image = client.text_to_image( + ... "An astronaut riding a horse on the moon.", + ... model="black-forest-labs/FLUX.1-dev", + ... ) + >>> image.save("astronaut.png") + ``` + + Example using Replicate provider with extra parameters + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="replicate", # Use replicate provider + ... api_key="hf_...", # Pass your HF token + ... ) + >>> image = client.text_to_image( + ... "An astronaut riding a horse on the moon.", + ... model="black-forest-labs/FLUX.1-schnell", + ... extra_body={"output_quality": 100}, + ... ) + >>> image.save("astronaut.png") + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="text-to-image", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=prompt, + parameters={ + "negative_prompt": negative_prompt, + "height": height, + "width": width, + "num_inference_steps": num_inference_steps, + "guidance_scale": guidance_scale, + "scheduler": scheduler, + "seed": seed, + **(extra_body or {}), + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + response = provider_helper.get_response(response) + return _bytes_to_image(response) + + async def text_to_video( + self, + prompt: str, + *, + model: Optional[str] = None, + guidance_scale: Optional[float] = None, + negative_prompt: Optional[List[str]] = None, + num_frames: Optional[float] = None, + num_inference_steps: Optional[int] = None, + seed: Optional[int] = None, + extra_body: Optional[Dict[str, Any]] = None, + ) -> bytes: + """ + Generate a video based on a given text. + + + You can pass provider-specific parameters to the model by using the `extra_body` argument. + + + Args: + prompt (`str`): + The prompt to generate a video from. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. If not provided, the default recommended text-to-video model will be used. + Defaults to None. + guidance_scale (`float`, *optional*): + A higher guidance scale value encourages the model to generate videos closely linked to the text + prompt, but values too high may cause saturation and other artifacts. + negative_prompt (`List[str]`, *optional*): + One or several prompt to guide what NOT to include in video generation. + num_frames (`float`, *optional*): + The num_frames parameter determines how many video frames are generated. + num_inference_steps (`int`, *optional*): + The number of denoising steps. More denoising steps usually lead to a higher quality video at the + expense of slower inference. + seed (`int`, *optional*): + Seed for the random number generator. + extra_body (`Dict[str, Any]`, *optional*): + Additional provider-specific parameters to pass to the model. Refer to the provider's documentation + for supported parameters. + + Returns: + `bytes`: The generated video. + + Example: + + Example using a third-party provider directly. Usage will be billed on your fal.ai account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="fal-ai", # Using fal.ai provider + ... api_key="fal-ai-api-key", # Pass your fal.ai API key + ... ) + >>> video = client.text_to_video( + ... "A majestic lion running in a fantasy forest", + ... model="tencent/HunyuanVideo", + ... ) + >>> with open("lion.mp4", "wb") as file: + ... file.write(video) + ``` + + Example using a third-party provider through Hugging Face Routing. Usage will be billed on your Hugging Face account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="replicate", # Using replicate provider + ... api_key="hf_...", # Pass your HF token + ... ) + >>> video = client.text_to_video( + ... "A cat running in a park", + ... model="genmo/mochi-1-preview", + ... ) + >>> with open("cat.mp4", "wb") as file: + ... file.write(video) + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="text-to-video", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=prompt, + parameters={ + "guidance_scale": guidance_scale, + "negative_prompt": negative_prompt, + "num_frames": num_frames, + "num_inference_steps": num_inference_steps, + "seed": seed, + **(extra_body or {}), + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + response = provider_helper.get_response(response, request_parameters) + return response + + async def text_to_speech( + self, + text: str, + *, + model: Optional[str] = None, + do_sample: Optional[bool] = None, + early_stopping: Optional[Union[bool, "TextToSpeechEarlyStoppingEnum"]] = None, + epsilon_cutoff: Optional[float] = None, + eta_cutoff: Optional[float] = None, + max_length: Optional[int] = None, + max_new_tokens: Optional[int] = None, + min_length: Optional[int] = None, + min_new_tokens: Optional[int] = None, + num_beam_groups: Optional[int] = None, + num_beams: Optional[int] = None, + penalty_alpha: Optional[float] = None, + temperature: Optional[float] = None, + top_k: Optional[int] = None, + top_p: Optional[float] = None, + typical_p: Optional[float] = None, + use_cache: Optional[bool] = None, + extra_body: Optional[Dict[str, Any]] = None, + ) -> bytes: + """ + Synthesize an audio of a voice pronouncing a given text. + + + You can pass provider-specific parameters to the model by using the `extra_body` argument. + + + Args: + text (`str`): + The text to synthesize. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. If not provided, the default recommended text-to-speech model will be used. + Defaults to None. + do_sample (`bool`, *optional*): + Whether to use sampling instead of greedy decoding when generating new tokens. + early_stopping (`Union[bool, "TextToSpeechEarlyStoppingEnum"]`, *optional*): + Controls the stopping condition for beam-based methods. + epsilon_cutoff (`float`, *optional*): + If set to float strictly between 0 and 1, only tokens with a conditional probability greater than + epsilon_cutoff will be sampled. In the paper, suggested values range from 3e-4 to 9e-4, depending on + the size of the model. See [Truncation Sampling as Language Model + Desmoothing](https://hf.co/papers/2210.15191) for more details. + eta_cutoff (`float`, *optional*): + Eta sampling is a hybrid of locally typical sampling and epsilon sampling. If set to float strictly + between 0 and 1, a token is only considered if it is greater than either eta_cutoff or sqrt(eta_cutoff) + * exp(-entropy(softmax(next_token_logits))). The latter term is intuitively the expected next token + probability, scaled by sqrt(eta_cutoff). In the paper, suggested values range from 3e-4 to 2e-3, + depending on the size of the model. See [Truncation Sampling as Language Model + Desmoothing](https://hf.co/papers/2210.15191) for more details. + max_length (`int`, *optional*): + The maximum length (in tokens) of the generated text, including the input. + max_new_tokens (`int`, *optional*): + The maximum number of tokens to generate. Takes precedence over max_length. + min_length (`int`, *optional*): + The minimum length (in tokens) of the generated text, including the input. + min_new_tokens (`int`, *optional*): + The minimum number of tokens to generate. Takes precedence over min_length. + num_beam_groups (`int`, *optional*): + Number of groups to divide num_beams into in order to ensure diversity among different groups of beams. + See [this paper](https://hf.co/papers/1610.02424) for more details. + num_beams (`int`, *optional*): + Number of beams to use for beam search. + penalty_alpha (`float`, *optional*): + The value balances the model confidence and the degeneration penalty in contrastive search decoding. + temperature (`float`, *optional*): + The value used to modulate the next token probabilities. + top_k (`int`, *optional*): + The number of highest probability vocabulary tokens to keep for top-k-filtering. + top_p (`float`, *optional*): + If set to float < 1, only the smallest set of most probable tokens with probabilities that add up to + top_p or higher are kept for generation. + typical_p (`float`, *optional*): + Local typicality measures how similar the conditional probability of predicting a target token next is + to the expected conditional probability of predicting a random token next, given the partial text + already generated. If set to float < 1, the smallest set of the most locally typical tokens with + probabilities that add up to typical_p or higher are kept for generation. See [this + paper](https://hf.co/papers/2202.00666) for more details. + use_cache (`bool`, *optional*): + Whether the model should use the past last key/values attentions to speed up decoding + extra_body (`Dict[str, Any]`, *optional*): + Additional provider-specific parameters to pass to the model. Refer to the provider's documentation + for supported parameters. + Returns: + `bytes`: The generated audio. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from pathlib import Path + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + + >>> audio = await client.text_to_speech("Hello world") + >>> Path("hello_world.flac").write_bytes(audio) + ``` + + Example using a third-party provider directly. Usage will be billed on your Replicate account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="replicate", + ... api_key="your-replicate-api-key", # Pass your Replicate API key directly + ... ) + >>> audio = client.text_to_speech( + ... text="Hello world", + ... model="OuteAI/OuteTTS-0.3-500M", + ... ) + >>> Path("hello_world.flac").write_bytes(audio) + ``` + + Example using a third-party provider through Hugging Face Routing. Usage will be billed on your Hugging Face account. + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="replicate", + ... api_key="hf_...", # Pass your HF token + ... ) + >>> audio =client.text_to_speech( + ... text="Hello world", + ... model="OuteAI/OuteTTS-0.3-500M", + ... ) + >>> Path("hello_world.flac").write_bytes(audio) + ``` + Example using Replicate provider with extra parameters + ```py + >>> from huggingface_hub import InferenceClient + >>> client = InferenceClient( + ... provider="replicate", # Use replicate provider + ... api_key="hf_...", # Pass your HF token + ... ) + >>> audio = client.text_to_speech( + ... "Hello, my name is Kororo, an awesome text-to-speech model.", + ... model="hexgrad/Kokoro-82M", + ... extra_body={"voice": "af_nicole"}, + ... ) + >>> Path("hello.flac").write_bytes(audio) + ``` + + Example music-gen using "YuE-s1-7B-anneal-en-cot" on fal.ai + ```py + >>> from huggingface_hub import InferenceClient + >>> lyrics = ''' + ... [verse] + ... In the town where I was born + ... Lived a man who sailed to sea + ... And he told us of his life + ... In the land of submarines + ... So we sailed on to the sun + ... 'Til we found a sea of green + ... And we lived beneath the waves + ... In our yellow submarine + + ... [chorus] + ... We all live in a yellow submarine + ... Yellow submarine, yellow submarine + ... We all live in a yellow submarine + ... Yellow submarine, yellow submarine + ... ''' + >>> genres = "pavarotti-style tenor voice" + >>> client = InferenceClient( + ... provider="fal-ai", + ... model="m-a-p/YuE-s1-7B-anneal-en-cot", + ... api_key=..., + ... ) + >>> audio = client.text_to_speech(lyrics, extra_body={"genres": genres}) + >>> with open("output.mp3", "wb") as f: + ... f.write(audio) + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="text-to-speech", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters={ + "do_sample": do_sample, + "early_stopping": early_stopping, + "epsilon_cutoff": epsilon_cutoff, + "eta_cutoff": eta_cutoff, + "max_length": max_length, + "max_new_tokens": max_new_tokens, + "min_length": min_length, + "min_new_tokens": min_new_tokens, + "num_beam_groups": num_beam_groups, + "num_beams": num_beams, + "penalty_alpha": penalty_alpha, + "temperature": temperature, + "top_k": top_k, + "top_p": top_p, + "typical_p": typical_p, + "use_cache": use_cache, + **(extra_body or {}), + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + response = provider_helper.get_response(response) + return response + + async def token_classification( + self, + text: str, + *, + model: Optional[str] = None, + aggregation_strategy: Optional["TokenClassificationAggregationStrategy"] = None, + ignore_labels: Optional[List[str]] = None, + stride: Optional[int] = None, + ) -> List[TokenClassificationOutputElement]: + """ + Perform token classification on the given text. + Usually used for sentence parsing, either grammatical, or Named Entity Recognition (NER) to understand keywords contained within text. + + Args: + text (`str`): + A string to be classified. + model (`str`, *optional*): + The model to use for the token classification task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended token classification model will be used. + Defaults to None. + aggregation_strategy (`"TokenClassificationAggregationStrategy"`, *optional*): + The strategy used to fuse tokens based on model predictions + ignore_labels (`List[str`, *optional*): + A list of labels to ignore + stride (`int`, *optional*): + The number of overlapping tokens between chunks when splitting the input text. + + Returns: + `List[TokenClassificationOutputElement]`: List of [`TokenClassificationOutputElement`] items containing the entity group, confidence score, word, start and end index. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.token_classification("My name is Sarah Jessica Parker but you can call me Jessica") + [ + TokenClassificationOutputElement( + entity_group='PER', + score=0.9971321225166321, + word='Sarah Jessica Parker', + start=11, + end=31, + ), + TokenClassificationOutputElement( + entity_group='PER', + score=0.9773476123809814, + word='Jessica', + start=52, + end=59, + ) + ] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="token-classification", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters={ + "aggregation_strategy": aggregation_strategy, + "ignore_labels": ignore_labels, + "stride": stride, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return TokenClassificationOutputElement.parse_obj_as_list(response) + + async def translation( + self, + text: str, + *, + model: Optional[str] = None, + src_lang: Optional[str] = None, + tgt_lang: Optional[str] = None, + clean_up_tokenization_spaces: Optional[bool] = None, + truncation: Optional["TranslationTruncationStrategy"] = None, + generate_parameters: Optional[Dict[str, Any]] = None, + ) -> TranslationOutput: + """ + Convert text from one language to another. + + Check out https://huggingface.co/tasks/translation for more information on how to choose the best model for + your specific use case. Source and target languages usually depend on the model. + However, it is possible to specify source and target languages for certain models. If you are working with one of these models, + you can use `src_lang` and `tgt_lang` arguments to pass the relevant information. + + Args: + text (`str`): + A string to be translated. + model (`str`, *optional*): + The model to use for the translation task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended translation model will be used. + Defaults to None. + src_lang (`str`, *optional*): + The source language of the text. Required for models that can translate from multiple languages. + tgt_lang (`str`, *optional*): + Target language to translate to. Required for models that can translate to multiple languages. + clean_up_tokenization_spaces (`bool`, *optional*): + Whether to clean up the potential extra spaces in the text output. + truncation (`"TranslationTruncationStrategy"`, *optional*): + The truncation strategy to use. + generate_parameters (`Dict[str, Any]`, *optional*): + Additional parametrization of the text generation algorithm. + + Returns: + [`TranslationOutput`]: The generated translated text. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + `ValueError`: + If only one of the `src_lang` and `tgt_lang` arguments are provided. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.translation("My name is Wolfgang and I live in Berlin") + 'Mein Name ist Wolfgang und ich lebe in Berlin.' + >>> await client.translation("My name is Wolfgang and I live in Berlin", model="Helsinki-NLP/opus-mt-en-fr") + TranslationOutput(translation_text='Je m'appelle Wolfgang et je vis à Berlin.') + ``` + + Specifying languages: + ```py + >>> client.translation("My name is Sarah Jessica Parker but you can call me Jessica", model="facebook/mbart-large-50-many-to-many-mmt", src_lang="en_XX", tgt_lang="fr_XX") + "Mon nom est Sarah Jessica Parker mais vous pouvez m'appeler Jessica" + ``` + """ + # Throw error if only one of `src_lang` and `tgt_lang` was given + if src_lang is not None and tgt_lang is None: + raise ValueError("You cannot specify `src_lang` without specifying `tgt_lang`.") + + if src_lang is None and tgt_lang is not None: + raise ValueError("You cannot specify `tgt_lang` without specifying `src_lang`.") + + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="translation", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters={ + "src_lang": src_lang, + "tgt_lang": tgt_lang, + "clean_up_tokenization_spaces": clean_up_tokenization_spaces, + "truncation": truncation, + "generate_parameters": generate_parameters, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return TranslationOutput.parse_obj_as_list(response)[0] + + async def visual_question_answering( + self, + image: ContentT, + question: str, + *, + model: Optional[str] = None, + top_k: Optional[int] = None, + ) -> List[VisualQuestionAnsweringOutputElement]: + """ + Answering open-ended questions based on an image. + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The input image for the context. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + question (`str`): + Question to be answered. + model (`str`, *optional*): + The model to use for the visual question answering task. Can be a model ID hosted on the Hugging Face Hub or a URL to + a deployed Inference Endpoint. If not provided, the default recommended visual question answering model will be used. + Defaults to None. + top_k (`int`, *optional*): + The number of answers to return (will be chosen by order of likelihood). Note that we return less than + topk answers if there are not enough options available within the context. + Returns: + `List[VisualQuestionAnsweringOutputElement]`: a list of [`VisualQuestionAnsweringOutputElement`] items containing the predicted label and associated probability. + + Raises: + `InferenceTimeoutError`: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.visual_question_answering( + ... image="https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", + ... question="What is the animal doing?" + ... ) + [ + VisualQuestionAnsweringOutputElement(score=0.778609573841095, answer='laying down'), + VisualQuestionAnsweringOutputElement(score=0.6957435607910156, answer='sitting'), + ] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="visual-question-answering", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={"top_k": top_k}, + headers=self.headers, + model=model_id, + api_key=self.token, + extra_payload={"question": question, "image": _b64_encode(image)}, + ) + response = await self._inner_post(request_parameters) + return VisualQuestionAnsweringOutputElement.parse_obj_as_list(response) + + async def zero_shot_classification( + self, + text: str, + candidate_labels: List[str], + *, + multi_label: Optional[bool] = False, + hypothesis_template: Optional[str] = None, + model: Optional[str] = None, + ) -> List[ZeroShotClassificationOutputElement]: + """ + Provide as input a text and a set of candidate labels to classify the input text. + + Args: + text (`str`): + The input text to classify. + candidate_labels (`List[str]`): + The set of possible class labels to classify the text into. + labels (`List[str]`, *optional*): + (deprecated) List of strings. Each string is the verbalization of a possible label for the input text. + multi_label (`bool`, *optional*): + Whether multiple candidate labels can be true. If false, the scores are normalized such that the sum of + the label likelihoods for each sequence is 1. If true, the labels are considered independent and + probabilities are normalized for each candidate. + hypothesis_template (`str`, *optional*): + The sentence used in conjunction with `candidate_labels` to attempt the text classification by + replacing the placeholder with the candidate labels. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. This parameter overrides the model defined at the instance level. If not provided, the default recommended zero-shot classification model will be used. + + + Returns: + `List[ZeroShotClassificationOutputElement]`: List of [`ZeroShotClassificationOutputElement`] items containing the predicted labels and their confidence. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example with `multi_label=False`: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> text = ( + ... "A new model offers an explanation for how the Galilean satellites formed around the solar system's" + ... "largest world. Konstantin Batygin did not set out to solve one of the solar system's most puzzling" + ... " mysteries when he went for a run up a hill in Nice, France." + ... ) + >>> labels = ["space & cosmos", "scientific discovery", "microbiology", "robots", "archeology"] + >>> await client.zero_shot_classification(text, labels) + [ + ZeroShotClassificationOutputElement(label='scientific discovery', score=0.7961668968200684), + ZeroShotClassificationOutputElement(label='space & cosmos', score=0.18570658564567566), + ZeroShotClassificationOutputElement(label='microbiology', score=0.00730885099619627), + ZeroShotClassificationOutputElement(label='archeology', score=0.006258360575884581), + ZeroShotClassificationOutputElement(label='robots', score=0.004559356719255447), + ] + >>> await client.zero_shot_classification(text, labels, multi_label=True) + [ + ZeroShotClassificationOutputElement(label='scientific discovery', score=0.9829297661781311), + ZeroShotClassificationOutputElement(label='space & cosmos', score=0.755190908908844), + ZeroShotClassificationOutputElement(label='microbiology', score=0.0005462635890580714), + ZeroShotClassificationOutputElement(label='archeology', score=0.00047131875180639327), + ZeroShotClassificationOutputElement(label='robots', score=0.00030448526376858354), + ] + ``` + + Example with `multi_label=True` and a custom `hypothesis_template`: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.zero_shot_classification( + ... text="I really like our dinner and I'm very happy. I don't like the weather though.", + ... labels=["positive", "negative", "pessimistic", "optimistic"], + ... multi_label=True, + ... hypothesis_template="This text is {} towards the weather" + ... ) + [ + ZeroShotClassificationOutputElement(label='negative', score=0.9231801629066467), + ZeroShotClassificationOutputElement(label='pessimistic', score=0.8760990500450134), + ZeroShotClassificationOutputElement(label='optimistic', score=0.0008674879791215062), + ZeroShotClassificationOutputElement(label='positive', score=0.0005250611575320363) + ] + ``` + """ + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="zero-shot-classification", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=text, + parameters={ + "candidate_labels": candidate_labels, + "multi_label": multi_label, + "hypothesis_template": hypothesis_template, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + output = _bytes_to_dict(response) + return [ + ZeroShotClassificationOutputElement.parse_obj_as_instance({"label": label, "score": score}) + for label, score in zip(output["labels"], output["scores"]) + ] + + async def zero_shot_image_classification( + self, + image: ContentT, + candidate_labels: List[str], + *, + model: Optional[str] = None, + hypothesis_template: Optional[str] = None, + # deprecated argument + labels: List[str] = None, # type: ignore + ) -> List[ZeroShotImageClassificationOutputElement]: + """ + Provide input image and text labels to predict text labels for the image. + + Args: + image (`Union[str, Path, bytes, BinaryIO, PIL.Image.Image]`): + The input image to caption. It can be raw bytes, an image file, a URL to an online image, or a PIL Image. + candidate_labels (`List[str]`): + The candidate labels for this image + labels (`List[str]`, *optional*): + (deprecated) List of string possible labels. There must be at least 2 labels. + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. This parameter overrides the model defined at the instance level. If not provided, the default recommended zero-shot image classification model will be used. + hypothesis_template (`str`, *optional*): + The sentence used in conjunction with `candidate_labels` to attempt the image classification by + replacing the placeholder with the candidate labels. + + Returns: + `List[ZeroShotImageClassificationOutputElement]`: List of [`ZeroShotImageClassificationOutputElement`] items containing the predicted labels and their confidence. + + Raises: + [`InferenceTimeoutError`]: + If the model is unavailable or the request times out. + `aiohttp.ClientResponseError`: + If the request fails with an HTTP error status code other than HTTP 503. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + + >>> await client.zero_shot_image_classification( + ... "https://upload.wikimedia.org/wikipedia/commons/thumb/4/43/Cute_dog.jpg/320px-Cute_dog.jpg", + ... labels=["dog", "cat", "horse"], + ... ) + [ZeroShotImageClassificationOutputElement(label='dog', score=0.956),...] + ``` + """ + # Raise ValueError if input is less than 2 labels + if len(candidate_labels) < 2: + raise ValueError("You must specify at least 2 classes to compare.") + + model_id = model or self.model + provider_helper = get_provider_helper(self.provider, task="zero-shot-image-classification", model=model_id) + request_parameters = provider_helper.prepare_request( + inputs=image, + parameters={ + "candidate_labels": candidate_labels, + "hypothesis_template": hypothesis_template, + }, + headers=self.headers, + model=model_id, + api_key=self.token, + ) + response = await self._inner_post(request_parameters) + return ZeroShotImageClassificationOutputElement.parse_obj_as_list(response) + + @_deprecate_method( + version="0.35.0", + message=( + "HF Inference API is getting revamped and will only support warm models in the future (no cold start allowed)." + " Use `HfApi.list_models(..., inference_provider='...')` to list warm models per provider." + ), + ) + async def list_deployed_models( + self, frameworks: Union[None, str, Literal["all"], List[str]] = None + ) -> Dict[str, List[str]]: + """ + List models deployed on the HF Serverless Inference API service. + + This helper checks deployed models framework by framework. By default, it will check the 4 main frameworks that + are supported and account for 95% of the hosted models. However, if you want a complete list of models you can + specify `frameworks="all"` as input. Alternatively, if you know before-hand which framework you are interested + in, you can also restrict to search to this one (e.g. `frameworks="text-generation-inference"`). The more + frameworks are checked, the more time it will take. + + + + This endpoint method does not return a live list of all models available for the HF Inference API service. + It searches over a cached list of models that were recently available and the list may not be up to date. + If you want to know the live status of a specific model, use [`~InferenceClient.get_model_status`]. + + + + + + This endpoint method is mostly useful for discoverability. If you already know which model you want to use and want to + check its availability, you can directly use [`~InferenceClient.get_model_status`]. + + + + Args: + frameworks (`Literal["all"]` or `List[str]` or `str`, *optional*): + The frameworks to filter on. By default only a subset of the available frameworks are tested. If set to + "all", all available frameworks will be tested. It is also possible to provide a single framework or a + custom set of frameworks to check. + + Returns: + `Dict[str, List[str]]`: A dictionary mapping task names to a sorted list of model IDs. + + Example: + ```py + # Must be run in an async contextthon + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + + # Discover zero-shot-classification models currently deployed + >>> models = await client.list_deployed_models() + >>> models["zero-shot-classification"] + ['Narsil/deberta-large-mnli-zero-cls', 'facebook/bart-large-mnli', ...] + + # List from only 1 framework + >>> await client.list_deployed_models("text-generation-inference") + {'text-generation': ['bigcode/starcoder', 'meta-llama/Llama-2-70b-chat-hf', ...], ...} + ``` + """ + if self.provider != "hf-inference": + raise ValueError(f"Listing deployed models is not supported on '{self.provider}'.") + + # Resolve which frameworks to check + if frameworks is None: + frameworks = constants.MAIN_INFERENCE_API_FRAMEWORKS + elif frameworks == "all": + frameworks = constants.ALL_INFERENCE_API_FRAMEWORKS + elif isinstance(frameworks, str): + frameworks = [frameworks] + frameworks = list(set(frameworks)) + + # Fetch them iteratively + models_by_task: Dict[str, List[str]] = {} + + def _unpack_response(framework: str, items: List[Dict]) -> None: + for model in items: + if framework == "sentence-transformers": + # Model running with the `sentence-transformers` framework can work with both tasks even if not + # branded as such in the API response + models_by_task.setdefault("feature-extraction", []).append(model["model_id"]) + models_by_task.setdefault("sentence-similarity", []).append(model["model_id"]) + else: + models_by_task.setdefault(model["task"], []).append(model["model_id"]) + + for framework in frameworks: + response = get_session().get( + f"{constants.INFERENCE_ENDPOINT}/framework/{framework}", headers=build_hf_headers(token=self.token) + ) + hf_raise_for_status(response) + _unpack_response(framework, response.json()) + + # Sort alphabetically for discoverability and return + for task, models in models_by_task.items(): + models_by_task[task] = sorted(set(models), key=lambda x: x.lower()) + return models_by_task + + def _get_client_session(self, headers: Optional[Dict] = None) -> "ClientSession": + aiohttp = _import_aiohttp() + client_headers = self.headers.copy() + if headers is not None: + client_headers.update(headers) + + # Return a new aiohttp ClientSession with correct settings. + session = aiohttp.ClientSession( + headers=client_headers, + cookies=self.cookies, + timeout=aiohttp.ClientTimeout(self.timeout), + trust_env=self.trust_env, + ) + + # Keep track of sessions to close them later + self._sessions[session] = set() + + # Override the `._request` method to register responses to be closed + session._wrapped_request = session._request + + async def _request(method, url, **kwargs): + response = await session._wrapped_request(method, url, **kwargs) + self._sessions[session].add(response) + return response + + session._request = _request + + # Override the 'close' method to + # 1. close ongoing responses + # 2. deregister the session when closed + session._close = session.close + + async def close_session(): + for response in self._sessions[session]: + response.close() + await session._close() + self._sessions.pop(session, None) + + session.close = close_session + return session + + async def get_endpoint_info(self, *, model: Optional[str] = None) -> Dict[str, Any]: + """ + Get information about the deployed endpoint. + + This endpoint is only available on endpoints powered by Text-Generation-Inference (TGI) or Text-Embedding-Inference (TEI). + Endpoints powered by `transformers` return an empty payload. + + Args: + model (`str`, *optional*): + The model to use for inference. Can be a model ID hosted on the Hugging Face Hub or a URL to a deployed + Inference Endpoint. This parameter overrides the model defined at the instance level. Defaults to None. + + Returns: + `Dict[str, Any]`: Information about the endpoint. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient("meta-llama/Meta-Llama-3-70B-Instruct") + >>> await client.get_endpoint_info() + { + 'model_id': 'meta-llama/Meta-Llama-3-70B-Instruct', + 'model_sha': None, + 'model_dtype': 'torch.float16', + 'model_device_type': 'cuda', + 'model_pipeline_tag': None, + 'max_concurrent_requests': 128, + 'max_best_of': 2, + 'max_stop_sequences': 4, + 'max_input_length': 8191, + 'max_total_tokens': 8192, + 'waiting_served_ratio': 0.3, + 'max_batch_total_tokens': 1259392, + 'max_waiting_tokens': 20, + 'max_batch_size': None, + 'validation_workers': 32, + 'max_client_batch_size': 4, + 'version': '2.0.2', + 'sha': 'dccab72549635c7eb5ddb17f43f0b7cdff07c214', + 'docker_label': 'sha-dccab72' + } + ``` + """ + if self.provider != "hf-inference": + raise ValueError(f"Getting endpoint info is not supported on '{self.provider}'.") + + model = model or self.model + if model is None: + raise ValueError("Model id not provided.") + if model.startswith(("http://", "https://")): + url = model.rstrip("/") + "/info" + else: + url = f"{constants.INFERENCE_ENDPOINT}/models/{model}/info" + + async with self._get_client_session(headers=build_hf_headers(token=self.token)) as client: + response = await client.get(url, proxy=self.proxies) + response.raise_for_status() + return await response.json() + + async def health_check(self, model: Optional[str] = None) -> bool: + """ + Check the health of the deployed endpoint. + + Health check is only available with Inference Endpoints powered by Text-Generation-Inference (TGI) or Text-Embedding-Inference (TEI). + For Inference API, please use [`InferenceClient.get_model_status`] instead. + + Args: + model (`str`, *optional*): + URL of the Inference Endpoint. This parameter overrides the model defined at the instance level. Defaults to None. + + Returns: + `bool`: True if everything is working fine. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient("https://jzgu0buei5.us-east-1.aws.endpoints.huggingface.cloud") + >>> await client.health_check() + True + ``` + """ + if self.provider != "hf-inference": + raise ValueError(f"Health check is not supported on '{self.provider}'.") + + model = model or self.model + if model is None: + raise ValueError("Model id not provided.") + if not model.startswith(("http://", "https://")): + raise ValueError( + "Model must be an Inference Endpoint URL. For serverless Inference API, please use `InferenceClient.get_model_status`." + ) + url = model.rstrip("/") + "/health" + + async with self._get_client_session(headers=build_hf_headers(token=self.token)) as client: + response = await client.get(url, proxy=self.proxies) + return response.status == 200 + + @_deprecate_method( + version="0.35.0", + message=( + "HF Inference API is getting revamped and will only support warm models in the future (no cold start allowed)." + " Use `HfApi.model_info` to get the model status both with HF Inference API and external providers." + ), + ) + async def get_model_status(self, model: Optional[str] = None) -> ModelStatus: + """ + Get the status of a model hosted on the HF Inference API. + + + + This endpoint is mostly useful when you already know which model you want to use and want to check its + availability. If you want to discover already deployed models, you should rather use [`~InferenceClient.list_deployed_models`]. + + + + Args: + model (`str`, *optional*): + Identifier of the model for witch the status gonna be checked. If model is not provided, + the model associated with this instance of [`InferenceClient`] will be used. Only HF Inference API service can be checked so the + identifier cannot be a URL. + + + Returns: + [`ModelStatus`]: An instance of ModelStatus dataclass, containing information, + about the state of the model: load, state, compute type and framework. + + Example: + ```py + # Must be run in an async context + >>> from huggingface_hub import AsyncInferenceClient + >>> client = AsyncInferenceClient() + >>> await client.get_model_status("meta-llama/Meta-Llama-3-8B-Instruct") + ModelStatus(loaded=True, state='Loaded', compute_type='gpu', framework='text-generation-inference') + ``` + """ + if self.provider != "hf-inference": + raise ValueError(f"Getting model status is not supported on '{self.provider}'.") + + model = model or self.model + if model is None: + raise ValueError("Model id not provided.") + if model.startswith("https://"): + raise NotImplementedError("Model status is only available for Inference API endpoints.") + url = f"{constants.INFERENCE_ENDPOINT}/status/{model}" + + async with self._get_client_session(headers=build_hf_headers(token=self.token)) as client: + response = await client.get(url, proxy=self.proxies) + response.raise_for_status() + response_data = await response.json() + + if "error" in response_data: + raise ValueError(response_data["error"]) + + return ModelStatus( + loaded=response_data["loaded"], + state=response_data["state"], + compute_type=response_data["compute_type"], + framework=response_data["framework"], + ) + + @property + def chat(self) -> "ProxyClientChat": + return ProxyClientChat(self) + + +class _ProxyClient: + """Proxy class to be able to call `client.chat.completion.create(...)` as OpenAI client.""" + + def __init__(self, client: AsyncInferenceClient): + self._client = client + + +class ProxyClientChat(_ProxyClient): + """Proxy class to be able to call `client.chat.completion.create(...)` as OpenAI client.""" + + @property + def completions(self) -> "ProxyClientChatCompletions": + return ProxyClientChatCompletions(self._client) + + +class ProxyClientChatCompletions(_ProxyClient): + """Proxy class to be able to call `client.chat.completion.create(...)` as OpenAI client.""" + + @property + def create(self): + return self._client.chat_completion diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..bfffc0ae3bce71532382ee87d03c40dc376cfae7 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/__init__.py @@ -0,0 +1,192 @@ +# This file is auto-generated by `utils/generate_inference_types.py`. +# Do not modify it manually. +# +# ruff: noqa: F401 + +from .audio_classification import ( + AudioClassificationInput, + AudioClassificationOutputElement, + AudioClassificationOutputTransform, + AudioClassificationParameters, +) +from .audio_to_audio import AudioToAudioInput, AudioToAudioOutputElement +from .automatic_speech_recognition import ( + AutomaticSpeechRecognitionEarlyStoppingEnum, + AutomaticSpeechRecognitionGenerationParameters, + AutomaticSpeechRecognitionInput, + AutomaticSpeechRecognitionOutput, + AutomaticSpeechRecognitionOutputChunk, + AutomaticSpeechRecognitionParameters, +) +from .base import BaseInferenceType +from .chat_completion import ( + ChatCompletionInput, + ChatCompletionInputFunctionDefinition, + ChatCompletionInputFunctionName, + ChatCompletionInputGrammarType, + ChatCompletionInputJSONSchema, + ChatCompletionInputMessage, + ChatCompletionInputMessageChunk, + ChatCompletionInputMessageChunkType, + ChatCompletionInputResponseFormatJSONObject, + ChatCompletionInputResponseFormatJSONSchema, + ChatCompletionInputResponseFormatText, + ChatCompletionInputStreamOptions, + ChatCompletionInputTool, + ChatCompletionInputToolCall, + ChatCompletionInputToolChoiceClass, + ChatCompletionInputToolChoiceEnum, + ChatCompletionInputURL, + ChatCompletionOutput, + ChatCompletionOutputComplete, + ChatCompletionOutputFunctionDefinition, + ChatCompletionOutputLogprob, + ChatCompletionOutputLogprobs, + ChatCompletionOutputMessage, + ChatCompletionOutputToolCall, + ChatCompletionOutputTopLogprob, + ChatCompletionOutputUsage, + ChatCompletionStreamOutput, + ChatCompletionStreamOutputChoice, + ChatCompletionStreamOutputDelta, + ChatCompletionStreamOutputDeltaToolCall, + ChatCompletionStreamOutputFunction, + ChatCompletionStreamOutputLogprob, + ChatCompletionStreamOutputLogprobs, + ChatCompletionStreamOutputTopLogprob, + ChatCompletionStreamOutputUsage, +) +from .depth_estimation import DepthEstimationInput, DepthEstimationOutput +from .document_question_answering import ( + DocumentQuestionAnsweringInput, + DocumentQuestionAnsweringInputData, + DocumentQuestionAnsweringOutputElement, + DocumentQuestionAnsweringParameters, +) +from .feature_extraction import FeatureExtractionInput, FeatureExtractionInputTruncationDirection +from .fill_mask import FillMaskInput, FillMaskOutputElement, FillMaskParameters +from .image_classification import ( + ImageClassificationInput, + ImageClassificationOutputElement, + ImageClassificationOutputTransform, + ImageClassificationParameters, +) +from .image_segmentation import ( + ImageSegmentationInput, + ImageSegmentationOutputElement, + ImageSegmentationParameters, + ImageSegmentationSubtask, +) +from .image_to_image import ImageToImageInput, ImageToImageOutput, ImageToImageParameters, ImageToImageTargetSize +from .image_to_text import ( + ImageToTextEarlyStoppingEnum, + ImageToTextGenerationParameters, + ImageToTextInput, + ImageToTextOutput, + ImageToTextParameters, +) +from .image_to_video import ImageToVideoInput, ImageToVideoOutput, ImageToVideoParameters, ImageToVideoTargetSize +from .object_detection import ( + ObjectDetectionBoundingBox, + ObjectDetectionInput, + ObjectDetectionOutputElement, + ObjectDetectionParameters, +) +from .question_answering import ( + QuestionAnsweringInput, + QuestionAnsweringInputData, + QuestionAnsweringOutputElement, + QuestionAnsweringParameters, +) +from .sentence_similarity import SentenceSimilarityInput, SentenceSimilarityInputData +from .summarization import ( + SummarizationInput, + SummarizationOutput, + SummarizationParameters, + SummarizationTruncationStrategy, +) +from .table_question_answering import ( + Padding, + TableQuestionAnsweringInput, + TableQuestionAnsweringInputData, + TableQuestionAnsweringOutputElement, + TableQuestionAnsweringParameters, +) +from .text2text_generation import ( + Text2TextGenerationInput, + Text2TextGenerationOutput, + Text2TextGenerationParameters, + Text2TextGenerationTruncationStrategy, +) +from .text_classification import ( + TextClassificationInput, + TextClassificationOutputElement, + TextClassificationOutputTransform, + TextClassificationParameters, +) +from .text_generation import ( + TextGenerationInput, + TextGenerationInputGenerateParameters, + TextGenerationInputGrammarType, + TextGenerationOutput, + TextGenerationOutputBestOfSequence, + TextGenerationOutputDetails, + TextGenerationOutputFinishReason, + TextGenerationOutputPrefillToken, + TextGenerationOutputToken, + TextGenerationStreamOutput, + TextGenerationStreamOutputStreamDetails, + TextGenerationStreamOutputToken, + TypeEnum, +) +from .text_to_audio import ( + TextToAudioEarlyStoppingEnum, + TextToAudioGenerationParameters, + TextToAudioInput, + TextToAudioOutput, + TextToAudioParameters, +) +from .text_to_image import TextToImageInput, TextToImageOutput, TextToImageParameters +from .text_to_speech import ( + TextToSpeechEarlyStoppingEnum, + TextToSpeechGenerationParameters, + TextToSpeechInput, + TextToSpeechOutput, + TextToSpeechParameters, +) +from .text_to_video import TextToVideoInput, TextToVideoOutput, TextToVideoParameters +from .token_classification import ( + TokenClassificationAggregationStrategy, + TokenClassificationInput, + TokenClassificationOutputElement, + TokenClassificationParameters, +) +from .translation import TranslationInput, TranslationOutput, TranslationParameters, TranslationTruncationStrategy +from .video_classification import ( + VideoClassificationInput, + VideoClassificationOutputElement, + VideoClassificationOutputTransform, + VideoClassificationParameters, +) +from .visual_question_answering import ( + VisualQuestionAnsweringInput, + VisualQuestionAnsweringInputData, + VisualQuestionAnsweringOutputElement, + VisualQuestionAnsweringParameters, +) +from .zero_shot_classification import ( + ZeroShotClassificationInput, + ZeroShotClassificationOutputElement, + ZeroShotClassificationParameters, +) +from .zero_shot_image_classification import ( + ZeroShotImageClassificationInput, + ZeroShotImageClassificationOutputElement, + ZeroShotImageClassificationParameters, +) +from .zero_shot_object_detection import ( + ZeroShotObjectDetectionBoundingBox, + ZeroShotObjectDetectionInput, + ZeroShotObjectDetectionOutputElement, + ZeroShotObjectDetectionParameters, +) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..2404df0d261ddffba5838f75e4796fec069d991b Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/__pycache__/__init__.cpython-312.pyc differ diff --git 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b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/audio_classification.py new file mode 100644 index 0000000000000000000000000000000000000000..053055787bce933e1fbd393cfbc00d81c43c8c2d --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/audio_classification.py @@ -0,0 +1,43 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Literal, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +AudioClassificationOutputTransform = Literal["sigmoid", "softmax", "none"] + + +@dataclass_with_extra +class AudioClassificationParameters(BaseInferenceType): + """Additional inference parameters for Audio Classification""" + + function_to_apply: Optional["AudioClassificationOutputTransform"] = None + """The function to apply to the model outputs in order to retrieve the scores.""" + top_k: Optional[int] = None + """When specified, limits the output to the top K most probable classes.""" + + +@dataclass_with_extra +class AudioClassificationInput(BaseInferenceType): + """Inputs for Audio Classification inference""" + + inputs: str + """The input audio data as a base64-encoded string. If no `parameters` are provided, you can + also provide the audio data as a raw bytes payload. + """ + parameters: Optional[AudioClassificationParameters] = None + """Additional inference parameters for Audio Classification""" + + +@dataclass_with_extra +class AudioClassificationOutputElement(BaseInferenceType): + """Outputs for Audio Classification inference""" + + label: str + """The predicted class label.""" + score: float + """The corresponding probability.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/audio_to_audio.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/audio_to_audio.py new file mode 100644 index 0000000000000000000000000000000000000000..43f376b5345fab6b854b028d1c17416c020d7bc1 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/audio_to_audio.py @@ -0,0 +1,30 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class AudioToAudioInput(BaseInferenceType): + """Inputs for Audio to Audio inference""" + + inputs: Any + """The input audio data""" + + +@dataclass_with_extra +class AudioToAudioOutputElement(BaseInferenceType): + """Outputs of inference for the Audio To Audio task + A generated audio file with its label. + """ + + blob: Any + """The generated audio file.""" + content_type: str + """The content type of audio file.""" + label: str + """The label of the audio file.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/automatic_speech_recognition.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/automatic_speech_recognition.py new file mode 100644 index 0000000000000000000000000000000000000000..f6bfd28256c82309b160f337aba5a54e2dd11872 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/automatic_speech_recognition.py @@ -0,0 +1,113 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import List, Literal, Optional, Union + +from .base import BaseInferenceType, dataclass_with_extra + + +AutomaticSpeechRecognitionEarlyStoppingEnum = Literal["never"] + + +@dataclass_with_extra +class AutomaticSpeechRecognitionGenerationParameters(BaseInferenceType): + """Parametrization of the text generation process""" + + do_sample: Optional[bool] = None + """Whether to use sampling instead of greedy decoding when generating new tokens.""" + early_stopping: Optional[Union[bool, "AutomaticSpeechRecognitionEarlyStoppingEnum"]] = None + """Controls the stopping condition for beam-based methods.""" + epsilon_cutoff: Optional[float] = None + """If set to float strictly between 0 and 1, only tokens with a conditional probability + greater than epsilon_cutoff will be sampled. In the paper, suggested values range from + 3e-4 to 9e-4, depending on the size of the model. See [Truncation Sampling as Language + Model Desmoothing](https://hf.co/papers/2210.15191) for more details. + """ + eta_cutoff: Optional[float] = None + """Eta sampling is a hybrid of locally typical sampling and epsilon sampling. If set to + float strictly between 0 and 1, a token is only considered if it is greater than either + eta_cutoff or sqrt(eta_cutoff) * exp(-entropy(softmax(next_token_logits))). The latter + term is intuitively the expected next token probability, scaled by sqrt(eta_cutoff). In + the paper, suggested values range from 3e-4 to 2e-3, depending on the size of the model. + See [Truncation Sampling as Language Model Desmoothing](https://hf.co/papers/2210.15191) + for more details. + """ + max_length: Optional[int] = None + """The maximum length (in tokens) of the generated text, including the input.""" + max_new_tokens: Optional[int] = None + """The maximum number of tokens to generate. Takes precedence over max_length.""" + min_length: Optional[int] = None + """The minimum length (in tokens) of the generated text, including the input.""" + min_new_tokens: Optional[int] = None + """The minimum number of tokens to generate. Takes precedence over min_length.""" + num_beam_groups: Optional[int] = None + """Number of groups to divide num_beams into in order to ensure diversity among different + groups of beams. See [this paper](https://hf.co/papers/1610.02424) for more details. + """ + num_beams: Optional[int] = None + """Number of beams to use for beam search.""" + penalty_alpha: Optional[float] = None + """The value balances the model confidence and the degeneration penalty in contrastive + search decoding. + """ + temperature: Optional[float] = None + """The value used to modulate the next token probabilities.""" + top_k: Optional[int] = None + """The number of highest probability vocabulary tokens to keep for top-k-filtering.""" + top_p: Optional[float] = None + """If set to float < 1, only the smallest set of most probable tokens with probabilities + that add up to top_p or higher are kept for generation. + """ + typical_p: Optional[float] = None + """Local typicality measures how similar the conditional probability of predicting a target + token next is to the expected conditional probability of predicting a random token next, + given the partial text already generated. If set to float < 1, the smallest set of the + most locally typical tokens with probabilities that add up to typical_p or higher are + kept for generation. See [this paper](https://hf.co/papers/2202.00666) for more details. + """ + use_cache: Optional[bool] = None + """Whether the model should use the past last key/values attentions to speed up decoding""" + + +@dataclass_with_extra +class AutomaticSpeechRecognitionParameters(BaseInferenceType): + """Additional inference parameters for Automatic Speech Recognition""" + + generation_parameters: Optional[AutomaticSpeechRecognitionGenerationParameters] = None + """Parametrization of the text generation process""" + return_timestamps: Optional[bool] = None + """Whether to output corresponding timestamps with the generated text""" + + +@dataclass_with_extra +class AutomaticSpeechRecognitionInput(BaseInferenceType): + """Inputs for Automatic Speech Recognition inference""" + + inputs: str + """The input audio data as a base64-encoded string. If no `parameters` are provided, you can + also provide the audio data as a raw bytes payload. + """ + parameters: Optional[AutomaticSpeechRecognitionParameters] = None + """Additional inference parameters for Automatic Speech Recognition""" + + +@dataclass_with_extra +class AutomaticSpeechRecognitionOutputChunk(BaseInferenceType): + text: str + """A chunk of text identified by the model""" + timestamp: List[float] + """The start and end timestamps corresponding with the text""" + + +@dataclass_with_extra +class AutomaticSpeechRecognitionOutput(BaseInferenceType): + """Outputs of inference for the Automatic Speech Recognition task""" + + text: str + """The recognized text.""" + chunks: Optional[List[AutomaticSpeechRecognitionOutputChunk]] = None + """When returnTimestamps is enabled, chunks contains a list of audio chunks identified by + the model. + """ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/base.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/base.py new file mode 100644 index 0000000000000000000000000000000000000000..1f0c4687ceccbfb738da3f38c583c2516d065a01 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/base.py @@ -0,0 +1,161 @@ +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains a base class for all inference types.""" + +import inspect +import json +from dataclasses import asdict, dataclass +from typing import Any, Dict, List, Type, TypeVar, Union, get_args + + +T = TypeVar("T", bound="BaseInferenceType") + + +def _repr_with_extra(self): + fields = list(self.__dataclass_fields__.keys()) + other_fields = list(k for k in self.__dict__ if k not in fields) + return f"{self.__class__.__name__}({', '.join(f'{k}={self.__dict__[k]!r}' for k in fields + other_fields)})" + + +def dataclass_with_extra(cls: Type[T]) -> Type[T]: + """Decorator to add a custom __repr__ method to a dataclass, showing all fields, including extra ones. + + This decorator only works with dataclasses that inherit from `BaseInferenceType`. + """ + cls = dataclass(cls) + cls.__repr__ = _repr_with_extra # type: ignore[method-assign] + return cls + + +@dataclass +class BaseInferenceType(dict): + """Base class for all inference types. + + Object is a dataclass and a dict for backward compatibility but plan is to remove the dict part in the future. + + Handle parsing from dict, list and json strings in a permissive way to ensure future-compatibility (e.g. all fields + are made optional, and non-expected fields are added as dict attributes). + """ + + @classmethod + def parse_obj_as_list(cls: Type[T], data: Union[bytes, str, List, Dict]) -> List[T]: + """Alias to parse server response and return a single instance. + + See `parse_obj` for more details. + """ + output = cls.parse_obj(data) + if not isinstance(output, list): + raise ValueError(f"Invalid input data for {cls}. Expected a list, but got {type(output)}.") + return output + + @classmethod + def parse_obj_as_instance(cls: Type[T], data: Union[bytes, str, List, Dict]) -> T: + """Alias to parse server response and return a single instance. + + See `parse_obj` for more details. + """ + output = cls.parse_obj(data) + if isinstance(output, list): + raise ValueError(f"Invalid input data for {cls}. Expected a single instance, but got a list.") + return output + + @classmethod + def parse_obj(cls: Type[T], data: Union[bytes, str, List, Dict]) -> Union[List[T], T]: + """Parse server response as a dataclass or list of dataclasses. + + To enable future-compatibility, we want to handle cases where the server return more fields than expected. + In such cases, we don't want to raise an error but still create the dataclass object. Remaining fields are + added as dict attributes. + """ + # Parse server response (from bytes) + if isinstance(data, bytes): + data = data.decode() + if isinstance(data, str): + data = json.loads(data) + + # If a list, parse each item individually + if isinstance(data, List): + return [cls.parse_obj(d) for d in data] # type: ignore [misc] + + # At this point, we expect a dict + if not isinstance(data, dict): + raise ValueError(f"Invalid data type: {type(data)}") + + init_values = {} + other_values = {} + for key, value in data.items(): + key = normalize_key(key) + if key in cls.__dataclass_fields__ and cls.__dataclass_fields__[key].init: + if isinstance(value, dict) or isinstance(value, list): + field_type = cls.__dataclass_fields__[key].type + + # if `field_type` is a `BaseInferenceType`, parse it + if inspect.isclass(field_type) and issubclass(field_type, BaseInferenceType): + value = field_type.parse_obj(value) + + # otherwise, recursively parse nested dataclasses (if possible) + # `get_args` returns handle Union and Optional for us + else: + expected_types = get_args(field_type) + for expected_type in expected_types: + if getattr(expected_type, "_name", None) == "List": + expected_type = get_args(expected_type)[ + 0 + ] # assume same type for all items in the list + if inspect.isclass(expected_type) and issubclass(expected_type, BaseInferenceType): + value = expected_type.parse_obj(value) + break + init_values[key] = value + else: + other_values[key] = value + + # Make all missing fields default to None + # => ensure that dataclass initialization will never fail even if the server does not return all fields. + for key in cls.__dataclass_fields__: + if key not in init_values: + init_values[key] = None + + # Initialize dataclass with expected values + item = cls(**init_values) + + # Add remaining fields as dict attributes + item.update(other_values) + + # Add remaining fields as extra dataclass fields. + # They won't be part of the dataclass fields but will be accessible as attributes. + # Use @dataclass_with_extra to show them in __repr__. + item.__dict__.update(other_values) + return item + + def __post_init__(self): + self.update(asdict(self)) + + def __setitem__(self, __key: Any, __value: Any) -> None: + # Hacky way to keep dataclass values in sync when dict is updated + super().__setitem__(__key, __value) + if __key in self.__dataclass_fields__ and getattr(self, __key, None) != __value: + self.__setattr__(__key, __value) + return + + def __setattr__(self, __name: str, __value: Any) -> None: + # Hacky way to keep dict values is sync when dataclass is updated + super().__setattr__(__name, __value) + if self.get(__name) != __value: + self[__name] = __value + return + + +def normalize_key(key: str) -> str: + # e.g "content-type" -> "content_type", "Accept" -> "accept" + return key.replace("-", "_").replace(" ", "_").lower() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/chat_completion.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/chat_completion.py new file mode 100644 index 0000000000000000000000000000000000000000..fe455ee71084920a3b8b246d875b8ab1ef555ad9 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/chat_completion.py @@ -0,0 +1,345 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, Dict, List, Literal, Optional, Union + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class ChatCompletionInputURL(BaseInferenceType): + url: str + + +ChatCompletionInputMessageChunkType = Literal["text", "image_url"] + + +@dataclass_with_extra +class ChatCompletionInputMessageChunk(BaseInferenceType): + type: "ChatCompletionInputMessageChunkType" + image_url: Optional[ChatCompletionInputURL] = None + text: Optional[str] = None + + +@dataclass_with_extra +class ChatCompletionInputFunctionDefinition(BaseInferenceType): + name: str + parameters: Any + description: Optional[str] = None + + +@dataclass_with_extra +class ChatCompletionInputToolCall(BaseInferenceType): + function: ChatCompletionInputFunctionDefinition + id: str + type: str + + +@dataclass_with_extra +class ChatCompletionInputMessage(BaseInferenceType): + role: str + content: Optional[Union[List[ChatCompletionInputMessageChunk], str]] = None + name: Optional[str] = None + tool_calls: Optional[List[ChatCompletionInputToolCall]] = None + + +@dataclass_with_extra +class ChatCompletionInputJSONSchema(BaseInferenceType): + name: str + """ + The name of the response format. + """ + description: Optional[str] = None + """ + A description of what the response format is for, used by the model to determine + how to respond in the format. + """ + schema: Optional[Dict[str, object]] = None + """ + The schema for the response format, described as a JSON Schema object. Learn how + to build JSON schemas [here](https://json-schema.org/). + """ + strict: Optional[bool] = None + """ + Whether to enable strict schema adherence when generating the output. If set to + true, the model will always follow the exact schema defined in the `schema` + field. + """ + + +@dataclass_with_extra +class ChatCompletionInputResponseFormatText(BaseInferenceType): + type: Literal["text"] + + +@dataclass_with_extra +class ChatCompletionInputResponseFormatJSONSchema(BaseInferenceType): + type: Literal["json_schema"] + json_schema: ChatCompletionInputJSONSchema + + +@dataclass_with_extra +class ChatCompletionInputResponseFormatJSONObject(BaseInferenceType): + type: Literal["json_object"] + + +ChatCompletionInputGrammarType = Union[ + ChatCompletionInputResponseFormatText, + ChatCompletionInputResponseFormatJSONSchema, + ChatCompletionInputResponseFormatJSONObject, +] + + +@dataclass_with_extra +class ChatCompletionInputStreamOptions(BaseInferenceType): + include_usage: Optional[bool] = None + """If set, an additional chunk will be streamed before the data: [DONE] message. The usage + field on this chunk shows the token usage statistics for the entire request, and the + choices field will always be an empty array. All other chunks will also include a usage + field, but with a null value. + """ + + +@dataclass_with_extra +class ChatCompletionInputFunctionName(BaseInferenceType): + name: str + + +@dataclass_with_extra +class ChatCompletionInputToolChoiceClass(BaseInferenceType): + function: ChatCompletionInputFunctionName + + +ChatCompletionInputToolChoiceEnum = Literal["auto", "none", "required"] + + +@dataclass_with_extra +class ChatCompletionInputTool(BaseInferenceType): + function: ChatCompletionInputFunctionDefinition + type: str + + +@dataclass_with_extra +class ChatCompletionInput(BaseInferenceType): + """Chat Completion Input. + Auto-generated from TGI specs. + For more details, check out + https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-tgi-import.ts. + """ + + messages: List[ChatCompletionInputMessage] + """A list of messages comprising the conversation so far.""" + frequency_penalty: Optional[float] = None + """Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing + frequency in the text so far, + decreasing the model's likelihood to repeat the same line verbatim. + """ + logit_bias: Optional[List[float]] = None + """UNUSED + Modify the likelihood of specified tokens appearing in the completion. Accepts a JSON + object that maps tokens + (specified by their token ID in the tokenizer) to an associated bias value from -100 to + 100. Mathematically, + the bias is added to the logits generated by the model prior to sampling. The exact + effect will vary per model, + but values between -1 and 1 should decrease or increase likelihood of selection; values + like -100 or 100 should + result in a ban or exclusive selection of the relevant token. + """ + logprobs: Optional[bool] = None + """Whether to return log probabilities of the output tokens or not. If true, returns the log + probabilities of each + output token returned in the content of message. + """ + max_tokens: Optional[int] = None + """The maximum number of tokens that can be generated in the chat completion.""" + model: Optional[str] = None + """[UNUSED] ID of the model to use. See the model endpoint compatibility table for details + on which models work with the Chat API. + """ + n: Optional[int] = None + """UNUSED + How many chat completion choices to generate for each input message. Note that you will + be charged based on the + number of generated tokens across all of the choices. Keep n as 1 to minimize costs. + """ + presence_penalty: Optional[float] = None + """Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they + appear in the text so far, + increasing the model's likelihood to talk about new topics + """ + response_format: Optional[ChatCompletionInputGrammarType] = None + seed: Optional[int] = None + stop: Optional[List[str]] = None + """Up to 4 sequences where the API will stop generating further tokens.""" + stream: Optional[bool] = None + stream_options: Optional[ChatCompletionInputStreamOptions] = None + temperature: Optional[float] = None + """What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the + output more random, while + lower values like 0.2 will make it more focused and deterministic. + We generally recommend altering this or `top_p` but not both. + """ + tool_choice: Optional[Union[ChatCompletionInputToolChoiceClass, "ChatCompletionInputToolChoiceEnum"]] = None + tool_prompt: Optional[str] = None + """A prompt to be appended before the tools""" + tools: Optional[List[ChatCompletionInputTool]] = None + """A list of tools the model may call. Currently, only functions are supported as a tool. + Use this to provide a list of + functions the model may generate JSON inputs for. + """ + top_logprobs: Optional[int] = None + """An integer between 0 and 5 specifying the number of most likely tokens to return at each + token position, each with + an associated log probability. logprobs must be set to true if this parameter is used. + """ + top_p: Optional[float] = None + """An alternative to sampling with temperature, called nucleus sampling, where the model + considers the results of the + tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% + probability mass are considered. + """ + + +@dataclass_with_extra +class ChatCompletionOutputTopLogprob(BaseInferenceType): + logprob: float + token: str + + +@dataclass_with_extra +class ChatCompletionOutputLogprob(BaseInferenceType): + logprob: float + token: str + top_logprobs: List[ChatCompletionOutputTopLogprob] + + +@dataclass_with_extra +class ChatCompletionOutputLogprobs(BaseInferenceType): + content: List[ChatCompletionOutputLogprob] + + +@dataclass_with_extra +class ChatCompletionOutputFunctionDefinition(BaseInferenceType): + arguments: str + name: str + description: Optional[str] = None + + +@dataclass_with_extra +class ChatCompletionOutputToolCall(BaseInferenceType): + function: ChatCompletionOutputFunctionDefinition + id: str + type: str + + +@dataclass_with_extra +class ChatCompletionOutputMessage(BaseInferenceType): + role: str + content: Optional[str] = None + tool_call_id: Optional[str] = None + tool_calls: Optional[List[ChatCompletionOutputToolCall]] = None + + +@dataclass_with_extra +class ChatCompletionOutputComplete(BaseInferenceType): + finish_reason: str + index: int + message: ChatCompletionOutputMessage + logprobs: Optional[ChatCompletionOutputLogprobs] = None + + +@dataclass_with_extra +class ChatCompletionOutputUsage(BaseInferenceType): + completion_tokens: int + prompt_tokens: int + total_tokens: int + + +@dataclass_with_extra +class ChatCompletionOutput(BaseInferenceType): + """Chat Completion Output. + Auto-generated from TGI specs. + For more details, check out + https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-tgi-import.ts. + """ + + choices: List[ChatCompletionOutputComplete] + created: int + id: str + model: str + system_fingerprint: str + usage: ChatCompletionOutputUsage + + +@dataclass_with_extra +class ChatCompletionStreamOutputFunction(BaseInferenceType): + arguments: str + name: Optional[str] = None + + +@dataclass_with_extra +class ChatCompletionStreamOutputDeltaToolCall(BaseInferenceType): + function: ChatCompletionStreamOutputFunction + id: str + index: int + type: str + + +@dataclass_with_extra +class ChatCompletionStreamOutputDelta(BaseInferenceType): + role: str + content: Optional[str] = None + tool_call_id: Optional[str] = None + tool_calls: Optional[List[ChatCompletionStreamOutputDeltaToolCall]] = None + + +@dataclass_with_extra +class ChatCompletionStreamOutputTopLogprob(BaseInferenceType): + logprob: float + token: str + + +@dataclass_with_extra +class ChatCompletionStreamOutputLogprob(BaseInferenceType): + logprob: float + token: str + top_logprobs: List[ChatCompletionStreamOutputTopLogprob] + + +@dataclass_with_extra +class ChatCompletionStreamOutputLogprobs(BaseInferenceType): + content: List[ChatCompletionStreamOutputLogprob] + + +@dataclass_with_extra +class ChatCompletionStreamOutputChoice(BaseInferenceType): + delta: ChatCompletionStreamOutputDelta + index: int + finish_reason: Optional[str] = None + logprobs: Optional[ChatCompletionStreamOutputLogprobs] = None + + +@dataclass_with_extra +class ChatCompletionStreamOutputUsage(BaseInferenceType): + completion_tokens: int + prompt_tokens: int + total_tokens: int + + +@dataclass_with_extra +class ChatCompletionStreamOutput(BaseInferenceType): + """Chat Completion Stream Output. + Auto-generated from TGI specs. + For more details, check out + https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-tgi-import.ts. + """ + + choices: List[ChatCompletionStreamOutputChoice] + created: int + id: str + model: str + system_fingerprint: str + usage: Optional[ChatCompletionStreamOutputUsage] = None diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/depth_estimation.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/depth_estimation.py new file mode 100644 index 0000000000000000000000000000000000000000..1e09bdffa194f97444e484de6e930f67ac030207 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/depth_estimation.py @@ -0,0 +1,28 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, Dict, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class DepthEstimationInput(BaseInferenceType): + """Inputs for Depth Estimation inference""" + + inputs: Any + """The input image data""" + parameters: Optional[Dict[str, Any]] = None + """Additional inference parameters for Depth Estimation""" + + +@dataclass_with_extra +class DepthEstimationOutput(BaseInferenceType): + """Outputs of inference for the Depth Estimation task""" + + depth: Any + """The predicted depth as an image""" + predicted_depth: Any + """The predicted depth as a tensor""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/document_question_answering.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/document_question_answering.py new file mode 100644 index 0000000000000000000000000000000000000000..2457d2c8c237f055f660e0e8291d846bb036949d --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/document_question_answering.py @@ -0,0 +1,80 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, List, Optional, Union + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class DocumentQuestionAnsweringInputData(BaseInferenceType): + """One (document, question) pair to answer""" + + image: Any + """The image on which the question is asked""" + question: str + """A question to ask of the document""" + + +@dataclass_with_extra +class DocumentQuestionAnsweringParameters(BaseInferenceType): + """Additional inference parameters for Document Question Answering""" + + doc_stride: Optional[int] = None + """If the words in the document are too long to fit with the question for the model, it will + be split in several chunks with some overlap. This argument controls the size of that + overlap. + """ + handle_impossible_answer: Optional[bool] = None + """Whether to accept impossible as an answer""" + lang: Optional[str] = None + """Language to use while running OCR. Defaults to english.""" + max_answer_len: Optional[int] = None + """The maximum length of predicted answers (e.g., only answers with a shorter length are + considered). + """ + max_question_len: Optional[int] = None + """The maximum length of the question after tokenization. It will be truncated if needed.""" + max_seq_len: Optional[int] = None + """The maximum length of the total sentence (context + question) in tokens of each chunk + passed to the model. The context will be split in several chunks (using doc_stride as + overlap) if needed. + """ + top_k: Optional[int] = None + """The number of answers to return (will be chosen by order of likelihood). Can return less + than top_k answers if there are not enough options available within the context. + """ + word_boxes: Optional[List[Union[List[float], str]]] = None + """A list of words and bounding boxes (normalized 0->1000). If provided, the inference will + skip the OCR step and use the provided bounding boxes instead. + """ + + +@dataclass_with_extra +class DocumentQuestionAnsweringInput(BaseInferenceType): + """Inputs for Document Question Answering inference""" + + inputs: DocumentQuestionAnsweringInputData + """One (document, question) pair to answer""" + parameters: Optional[DocumentQuestionAnsweringParameters] = None + """Additional inference parameters for Document Question Answering""" + + +@dataclass_with_extra +class DocumentQuestionAnsweringOutputElement(BaseInferenceType): + """Outputs of inference for the Document Question Answering task""" + + answer: str + """The answer to the question.""" + end: int + """The end word index of the answer (in the OCR’d version of the input or provided word + boxes). + """ + score: float + """The probability associated to the answer.""" + start: int + """The start word index of the answer (in the OCR’d version of the input or provided word + boxes). + """ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/feature_extraction.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/feature_extraction.py new file mode 100644 index 0000000000000000000000000000000000000000..e965ddbac2af0a5bf73e662a7c18c847611d18a1 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/feature_extraction.py @@ -0,0 +1,36 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import List, Literal, Optional, Union + +from .base import BaseInferenceType, dataclass_with_extra + + +FeatureExtractionInputTruncationDirection = Literal["Left", "Right"] + + +@dataclass_with_extra +class FeatureExtractionInput(BaseInferenceType): + """Feature Extraction Input. + Auto-generated from TEI specs. + For more details, check out + https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-tei-import.ts. + """ + + inputs: Union[List[str], str] + """The text or list of texts to embed.""" + normalize: Optional[bool] = None + prompt_name: Optional[str] = None + """The name of the prompt that should be used by for encoding. If not set, no prompt + will be applied. + Must be a key in the `sentence-transformers` configuration `prompts` dictionary. + For example if ``prompt_name`` is "query" and the ``prompts`` is {"query": "query: ", + ...}, + then the sentence "What is the capital of France?" will be encoded as + "query: What is the capital of France?" because the prompt text will be prepended before + any text to encode. + """ + truncate: Optional[bool] = None + truncation_direction: Optional["FeatureExtractionInputTruncationDirection"] = None diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/fill_mask.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/fill_mask.py new file mode 100644 index 0000000000000000000000000000000000000000..dfcdc56bc507e50280d38e0f63b024ada6a7ea94 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/fill_mask.py @@ -0,0 +1,47 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, List, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class FillMaskParameters(BaseInferenceType): + """Additional inference parameters for Fill Mask""" + + targets: Optional[List[str]] = None + """When passed, the model will limit the scores to the passed targets instead of looking up + in the whole vocabulary. If the provided targets are not in the model vocab, they will be + tokenized and the first resulting token will be used (with a warning, and that might be + slower). + """ + top_k: Optional[int] = None + """When passed, overrides the number of predictions to return.""" + + +@dataclass_with_extra +class FillMaskInput(BaseInferenceType): + """Inputs for Fill Mask inference""" + + inputs: str + """The text with masked tokens""" + parameters: Optional[FillMaskParameters] = None + """Additional inference parameters for Fill Mask""" + + +@dataclass_with_extra +class FillMaskOutputElement(BaseInferenceType): + """Outputs of inference for the Fill Mask task""" + + score: float + """The corresponding probability""" + sequence: str + """The corresponding input with the mask token prediction.""" + token: int + """The predicted token id (to replace the masked one).""" + token_str: Any + fill_mask_output_token_str: Optional[str] = None + """The predicted token (to replace the masked one).""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_classification.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_classification.py new file mode 100644 index 0000000000000000000000000000000000000000..0fdda6c83ff4c7aee5dc7794f0530e89d6b43047 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_classification.py @@ -0,0 +1,43 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Literal, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +ImageClassificationOutputTransform = Literal["sigmoid", "softmax", "none"] + + +@dataclass_with_extra +class ImageClassificationParameters(BaseInferenceType): + """Additional inference parameters for Image Classification""" + + function_to_apply: Optional["ImageClassificationOutputTransform"] = None + """The function to apply to the model outputs in order to retrieve the scores.""" + top_k: Optional[int] = None + """When specified, limits the output to the top K most probable classes.""" + + +@dataclass_with_extra +class ImageClassificationInput(BaseInferenceType): + """Inputs for Image Classification inference""" + + inputs: str + """The input image data as a base64-encoded string. If no `parameters` are provided, you can + also provide the image data as a raw bytes payload. + """ + parameters: Optional[ImageClassificationParameters] = None + """Additional inference parameters for Image Classification""" + + +@dataclass_with_extra +class ImageClassificationOutputElement(BaseInferenceType): + """Outputs of inference for the Image Classification task""" + + label: str + """The predicted class label.""" + score: float + """The corresponding probability.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_segmentation.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_segmentation.py new file mode 100644 index 0000000000000000000000000000000000000000..3dbf61db83ec2ae6ceafd901c4425567cd2e5b03 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_segmentation.py @@ -0,0 +1,51 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Literal, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +ImageSegmentationSubtask = Literal["instance", "panoptic", "semantic"] + + +@dataclass_with_extra +class ImageSegmentationParameters(BaseInferenceType): + """Additional inference parameters for Image Segmentation""" + + mask_threshold: Optional[float] = None + """Threshold to use when turning the predicted masks into binary values.""" + overlap_mask_area_threshold: Optional[float] = None + """Mask overlap threshold to eliminate small, disconnected segments.""" + subtask: Optional["ImageSegmentationSubtask"] = None + """Segmentation task to be performed, depending on model capabilities.""" + threshold: Optional[float] = None + """Probability threshold to filter out predicted masks.""" + + +@dataclass_with_extra +class ImageSegmentationInput(BaseInferenceType): + """Inputs for Image Segmentation inference""" + + inputs: str + """The input image data as a base64-encoded string. If no `parameters` are provided, you can + also provide the image data as a raw bytes payload. + """ + parameters: Optional[ImageSegmentationParameters] = None + """Additional inference parameters for Image Segmentation""" + + +@dataclass_with_extra +class ImageSegmentationOutputElement(BaseInferenceType): + """Outputs of inference for the Image Segmentation task + A predicted mask / segment + """ + + label: str + """The label of the predicted segment.""" + mask: str + """The corresponding mask as a black-and-white image (base64-encoded).""" + score: Optional[float] = None + """The score or confidence degree the model has.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_to_image.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_to_image.py new file mode 100644 index 0000000000000000000000000000000000000000..e99e719f8b837c76392b58d33ca19f9b615e857e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_to_image.py @@ -0,0 +1,56 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class ImageToImageTargetSize(BaseInferenceType): + """The size in pixel of the output image.""" + + height: int + width: int + + +@dataclass_with_extra +class ImageToImageParameters(BaseInferenceType): + """Additional inference parameters for Image To Image""" + + guidance_scale: Optional[float] = None + """For diffusion models. A higher guidance scale value encourages the model to generate + images closely linked to the text prompt at the expense of lower image quality. + """ + negative_prompt: Optional[str] = None + """One prompt to guide what NOT to include in image generation.""" + num_inference_steps: Optional[int] = None + """For diffusion models. The number of denoising steps. More denoising steps usually lead to + a higher quality image at the expense of slower inference. + """ + prompt: Optional[str] = None + """The text prompt to guide the image generation.""" + target_size: Optional[ImageToImageTargetSize] = None + """The size in pixel of the output image.""" + + +@dataclass_with_extra +class ImageToImageInput(BaseInferenceType): + """Inputs for Image To Image inference""" + + inputs: str + """The input image data as a base64-encoded string. If no `parameters` are provided, you can + also provide the image data as a raw bytes payload. + """ + parameters: Optional[ImageToImageParameters] = None + """Additional inference parameters for Image To Image""" + + +@dataclass_with_extra +class ImageToImageOutput(BaseInferenceType): + """Outputs of inference for the Image To Image task""" + + image: Any + """The output image returned as raw bytes in the payload.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_to_text.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_to_text.py new file mode 100644 index 0000000000000000000000000000000000000000..b65e0e0068e80dbcab5a4706fb5d49be2538c4ca --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_to_text.py @@ -0,0 +1,100 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, Literal, Optional, Union + +from .base import BaseInferenceType, dataclass_with_extra + + +ImageToTextEarlyStoppingEnum = Literal["never"] + + +@dataclass_with_extra +class ImageToTextGenerationParameters(BaseInferenceType): + """Parametrization of the text generation process""" + + do_sample: Optional[bool] = None + """Whether to use sampling instead of greedy decoding when generating new tokens.""" + early_stopping: Optional[Union[bool, "ImageToTextEarlyStoppingEnum"]] = None + """Controls the stopping condition for beam-based methods.""" + epsilon_cutoff: Optional[float] = None + """If set to float strictly between 0 and 1, only tokens with a conditional probability + greater than epsilon_cutoff will be sampled. In the paper, suggested values range from + 3e-4 to 9e-4, depending on the size of the model. See [Truncation Sampling as Language + Model Desmoothing](https://hf.co/papers/2210.15191) for more details. + """ + eta_cutoff: Optional[float] = None + """Eta sampling is a hybrid of locally typical sampling and epsilon sampling. If set to + float strictly between 0 and 1, a token is only considered if it is greater than either + eta_cutoff or sqrt(eta_cutoff) * exp(-entropy(softmax(next_token_logits))). The latter + term is intuitively the expected next token probability, scaled by sqrt(eta_cutoff). In + the paper, suggested values range from 3e-4 to 2e-3, depending on the size of the model. + See [Truncation Sampling as Language Model Desmoothing](https://hf.co/papers/2210.15191) + for more details. + """ + max_length: Optional[int] = None + """The maximum length (in tokens) of the generated text, including the input.""" + max_new_tokens: Optional[int] = None + """The maximum number of tokens to generate. Takes precedence over max_length.""" + min_length: Optional[int] = None + """The minimum length (in tokens) of the generated text, including the input.""" + min_new_tokens: Optional[int] = None + """The minimum number of tokens to generate. Takes precedence over min_length.""" + num_beam_groups: Optional[int] = None + """Number of groups to divide num_beams into in order to ensure diversity among different + groups of beams. See [this paper](https://hf.co/papers/1610.02424) for more details. + """ + num_beams: Optional[int] = None + """Number of beams to use for beam search.""" + penalty_alpha: Optional[float] = None + """The value balances the model confidence and the degeneration penalty in contrastive + search decoding. + """ + temperature: Optional[float] = None + """The value used to modulate the next token probabilities.""" + top_k: Optional[int] = None + """The number of highest probability vocabulary tokens to keep for top-k-filtering.""" + top_p: Optional[float] = None + """If set to float < 1, only the smallest set of most probable tokens with probabilities + that add up to top_p or higher are kept for generation. + """ + typical_p: Optional[float] = None + """Local typicality measures how similar the conditional probability of predicting a target + token next is to the expected conditional probability of predicting a random token next, + given the partial text already generated. If set to float < 1, the smallest set of the + most locally typical tokens with probabilities that add up to typical_p or higher are + kept for generation. See [this paper](https://hf.co/papers/2202.00666) for more details. + """ + use_cache: Optional[bool] = None + """Whether the model should use the past last key/values attentions to speed up decoding""" + + +@dataclass_with_extra +class ImageToTextParameters(BaseInferenceType): + """Additional inference parameters for Image To Text""" + + generation_parameters: Optional[ImageToTextGenerationParameters] = None + """Parametrization of the text generation process""" + max_new_tokens: Optional[int] = None + """The amount of maximum tokens to generate.""" + + +@dataclass_with_extra +class ImageToTextInput(BaseInferenceType): + """Inputs for Image To Text inference""" + + inputs: Any + """The input image data""" + parameters: Optional[ImageToTextParameters] = None + """Additional inference parameters for Image To Text""" + + +@dataclass_with_extra +class ImageToTextOutput(BaseInferenceType): + """Outputs of inference for the Image To Text task""" + + generated_text: Any + image_to_text_output_generated_text: Optional[str] = None + """The generated text.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_to_video.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_to_video.py new file mode 100644 index 0000000000000000000000000000000000000000..92192a2a05b7a825c6dd55e96702fece0f3b3316 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/image_to_video.py @@ -0,0 +1,60 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class ImageToVideoTargetSize(BaseInferenceType): + """The size in pixel of the output video frames.""" + + height: int + width: int + + +@dataclass_with_extra +class ImageToVideoParameters(BaseInferenceType): + """Additional inference parameters for Image To Video""" + + guidance_scale: Optional[float] = None + """For diffusion models. A higher guidance scale value encourages the model to generate + videos closely linked to the text prompt at the expense of lower image quality. + """ + negative_prompt: Optional[str] = None + """One prompt to guide what NOT to include in video generation.""" + num_frames: Optional[float] = None + """The num_frames parameter determines how many video frames are generated.""" + num_inference_steps: Optional[int] = None + """The number of denoising steps. More denoising steps usually lead to a higher quality + video at the expense of slower inference. + """ + prompt: Optional[str] = None + """The text prompt to guide the video generation.""" + seed: Optional[int] = None + """Seed for the random number generator.""" + target_size: Optional[ImageToVideoTargetSize] = None + """The size in pixel of the output video frames.""" + + +@dataclass_with_extra +class ImageToVideoInput(BaseInferenceType): + """Inputs for Image To Video inference""" + + inputs: str + """The input image data as a base64-encoded string. If no `parameters` are provided, you can + also provide the image data as a raw bytes payload. + """ + parameters: Optional[ImageToVideoParameters] = None + """Additional inference parameters for Image To Video""" + + +@dataclass_with_extra +class ImageToVideoOutput(BaseInferenceType): + """Outputs of inference for the Image To Video task""" + + video: Any + """The generated video returned as raw bytes in the payload.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/object_detection.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/object_detection.py new file mode 100644 index 0000000000000000000000000000000000000000..75f3ebcfe1199462d0df60879b5ba6e517f7001e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/object_detection.py @@ -0,0 +1,58 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class ObjectDetectionParameters(BaseInferenceType): + """Additional inference parameters for Object Detection""" + + threshold: Optional[float] = None + """The probability necessary to make a prediction.""" + + +@dataclass_with_extra +class ObjectDetectionInput(BaseInferenceType): + """Inputs for Object Detection inference""" + + inputs: str + """The input image data as a base64-encoded string. If no `parameters` are provided, you can + also provide the image data as a raw bytes payload. + """ + parameters: Optional[ObjectDetectionParameters] = None + """Additional inference parameters for Object Detection""" + + +@dataclass_with_extra +class ObjectDetectionBoundingBox(BaseInferenceType): + """The predicted bounding box. Coordinates are relative to the top left corner of the input + image. + """ + + xmax: int + """The x-coordinate of the bottom-right corner of the bounding box.""" + xmin: int + """The x-coordinate of the top-left corner of the bounding box.""" + ymax: int + """The y-coordinate of the bottom-right corner of the bounding box.""" + ymin: int + """The y-coordinate of the top-left corner of the bounding box.""" + + +@dataclass_with_extra +class ObjectDetectionOutputElement(BaseInferenceType): + """Outputs of inference for the Object Detection task""" + + box: ObjectDetectionBoundingBox + """The predicted bounding box. Coordinates are relative to the top left corner of the input + image. + """ + label: str + """The predicted label for the bounding box.""" + score: float + """The associated score / probability.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/question_answering.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/question_answering.py new file mode 100644 index 0000000000000000000000000000000000000000..014ab41893c560a2c266bc04a1d60bc933be31c7 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/question_answering.py @@ -0,0 +1,74 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class QuestionAnsweringInputData(BaseInferenceType): + """One (context, question) pair to answer""" + + context: str + """The context to be used for answering the question""" + question: str + """The question to be answered""" + + +@dataclass_with_extra +class QuestionAnsweringParameters(BaseInferenceType): + """Additional inference parameters for Question Answering""" + + align_to_words: Optional[bool] = None + """Attempts to align the answer to real words. Improves quality on space separated + languages. Might hurt on non-space-separated languages (like Japanese or Chinese) + """ + doc_stride: Optional[int] = None + """If the context is too long to fit with the question for the model, it will be split in + several chunks with some overlap. This argument controls the size of that overlap. + """ + handle_impossible_answer: Optional[bool] = None + """Whether to accept impossible as an answer.""" + max_answer_len: Optional[int] = None + """The maximum length of predicted answers (e.g., only answers with a shorter length are + considered). + """ + max_question_len: Optional[int] = None + """The maximum length of the question after tokenization. It will be truncated if needed.""" + max_seq_len: Optional[int] = None + """The maximum length of the total sentence (context + question) in tokens of each chunk + passed to the model. The context will be split in several chunks (using docStride as + overlap) if needed. + """ + top_k: Optional[int] = None + """The number of answers to return (will be chosen by order of likelihood). Note that we + return less than topk answers if there are not enough options available within the + context. + """ + + +@dataclass_with_extra +class QuestionAnsweringInput(BaseInferenceType): + """Inputs for Question Answering inference""" + + inputs: QuestionAnsweringInputData + """One (context, question) pair to answer""" + parameters: Optional[QuestionAnsweringParameters] = None + """Additional inference parameters for Question Answering""" + + +@dataclass_with_extra +class QuestionAnsweringOutputElement(BaseInferenceType): + """Outputs of inference for the Question Answering task""" + + answer: str + """The answer to the question.""" + end: int + """The character position in the input where the answer ends.""" + score: float + """The probability associated to the answer.""" + start: int + """The character position in the input where the answer begins.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/sentence_similarity.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/sentence_similarity.py new file mode 100644 index 0000000000000000000000000000000000000000..66e8bb4d9322d4847556b7a17dc17bd208a37d0c --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/sentence_similarity.py @@ -0,0 +1,27 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, Dict, List, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class SentenceSimilarityInputData(BaseInferenceType): + sentences: List[str] + """A list of strings which will be compared against the source_sentence.""" + source_sentence: str + """The string that you wish to compare the other strings with. This can be a phrase, + sentence, or longer passage, depending on the model being used. + """ + + +@dataclass_with_extra +class SentenceSimilarityInput(BaseInferenceType): + """Inputs for Sentence similarity inference""" + + inputs: SentenceSimilarityInputData + parameters: Optional[Dict[str, Any]] = None + """Additional inference parameters for Sentence Similarity""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/summarization.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/summarization.py new file mode 100644 index 0000000000000000000000000000000000000000..33eae6fcba0e8724babf145f93be005868429c33 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/summarization.py @@ -0,0 +1,41 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, Dict, Literal, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +SummarizationTruncationStrategy = Literal["do_not_truncate", "longest_first", "only_first", "only_second"] + + +@dataclass_with_extra +class SummarizationParameters(BaseInferenceType): + """Additional inference parameters for summarization.""" + + clean_up_tokenization_spaces: Optional[bool] = None + """Whether to clean up the potential extra spaces in the text output.""" + generate_parameters: Optional[Dict[str, Any]] = None + """Additional parametrization of the text generation algorithm.""" + truncation: Optional["SummarizationTruncationStrategy"] = None + """The truncation strategy to use.""" + + +@dataclass_with_extra +class SummarizationInput(BaseInferenceType): + """Inputs for Summarization inference""" + + inputs: str + """The input text to summarize.""" + parameters: Optional[SummarizationParameters] = None + """Additional inference parameters for summarization.""" + + +@dataclass_with_extra +class SummarizationOutput(BaseInferenceType): + """Outputs of inference for the Summarization task""" + + summary_text: str + """The summarized text.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/table_question_answering.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/table_question_answering.py new file mode 100644 index 0000000000000000000000000000000000000000..10e208eeeb50a689d2826a160432a2b005ec006c --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/table_question_answering.py @@ -0,0 +1,62 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Dict, List, Literal, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class TableQuestionAnsweringInputData(BaseInferenceType): + """One (table, question) pair to answer""" + + question: str + """The question to be answered about the table""" + table: Dict[str, List[str]] + """The table to serve as context for the questions""" + + +Padding = Literal["do_not_pad", "longest", "max_length"] + + +@dataclass_with_extra +class TableQuestionAnsweringParameters(BaseInferenceType): + """Additional inference parameters for Table Question Answering""" + + padding: Optional["Padding"] = None + """Activates and controls padding.""" + sequential: Optional[bool] = None + """Whether to do inference sequentially or as a batch. Batching is faster, but models like + SQA require the inference to be done sequentially to extract relations within sequences, + given their conversational nature. + """ + truncation: Optional[bool] = None + """Activates and controls truncation.""" + + +@dataclass_with_extra +class TableQuestionAnsweringInput(BaseInferenceType): + """Inputs for Table Question Answering inference""" + + inputs: TableQuestionAnsweringInputData + """One (table, question) pair to answer""" + parameters: Optional[TableQuestionAnsweringParameters] = None + """Additional inference parameters for Table Question Answering""" + + +@dataclass_with_extra +class TableQuestionAnsweringOutputElement(BaseInferenceType): + """Outputs of inference for the Table Question Answering task""" + + answer: str + """The answer of the question given the table. If there is an aggregator, the answer will be + preceded by `AGGREGATOR >`. + """ + cells: List[str] + """List of strings made up of the answer cell values.""" + coordinates: List[List[int]] + """Coordinates of the cells of the answers.""" + aggregator: Optional[str] = None + """If the model has an aggregator, this returns the aggregator.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text2text_generation.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text2text_generation.py new file mode 100644 index 0000000000000000000000000000000000000000..34ac74e21e8a30d889f1a251f648d4c365325be6 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text2text_generation.py @@ -0,0 +1,42 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, Dict, Literal, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +Text2TextGenerationTruncationStrategy = Literal["do_not_truncate", "longest_first", "only_first", "only_second"] + + +@dataclass_with_extra +class Text2TextGenerationParameters(BaseInferenceType): + """Additional inference parameters for Text2text Generation""" + + clean_up_tokenization_spaces: Optional[bool] = None + """Whether to clean up the potential extra spaces in the text output.""" + generate_parameters: Optional[Dict[str, Any]] = None + """Additional parametrization of the text generation algorithm""" + truncation: Optional["Text2TextGenerationTruncationStrategy"] = None + """The truncation strategy to use""" + + +@dataclass_with_extra +class Text2TextGenerationInput(BaseInferenceType): + """Inputs for Text2text Generation inference""" + + inputs: str + """The input text data""" + parameters: Optional[Text2TextGenerationParameters] = None + """Additional inference parameters for Text2text Generation""" + + +@dataclass_with_extra +class Text2TextGenerationOutput(BaseInferenceType): + """Outputs of inference for the Text2text Generation task""" + + generated_text: Any + text2_text_generation_output_generated_text: Optional[str] = None + """The generated text.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_classification.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_classification.py new file mode 100644 index 0000000000000000000000000000000000000000..9a172b23f844fa58f757a644d52138a18e7b6ddb --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_classification.py @@ -0,0 +1,41 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Literal, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +TextClassificationOutputTransform = Literal["sigmoid", "softmax", "none"] + + +@dataclass_with_extra +class TextClassificationParameters(BaseInferenceType): + """Additional inference parameters for Text Classification""" + + function_to_apply: Optional["TextClassificationOutputTransform"] = None + """The function to apply to the model outputs in order to retrieve the scores.""" + top_k: Optional[int] = None + """When specified, limits the output to the top K most probable classes.""" + + +@dataclass_with_extra +class TextClassificationInput(BaseInferenceType): + """Inputs for Text Classification inference""" + + inputs: str + """The text to classify""" + parameters: Optional[TextClassificationParameters] = None + """Additional inference parameters for Text Classification""" + + +@dataclass_with_extra +class TextClassificationOutputElement(BaseInferenceType): + """Outputs of inference for the Text Classification task""" + + label: str + """The predicted class label.""" + score: float + """The corresponding probability.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_generation.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_generation.py new file mode 100644 index 0000000000000000000000000000000000000000..9b79cc691dce3a6d42aef716d4a93a719f2d600c --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_generation.py @@ -0,0 +1,168 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, List, Literal, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +TypeEnum = Literal["json", "regex", "json_schema"] + + +@dataclass_with_extra +class TextGenerationInputGrammarType(BaseInferenceType): + type: "TypeEnum" + value: Any + """A string that represents a [JSON Schema](https://json-schema.org/). + JSON Schema is a declarative language that allows to annotate JSON documents + with types and descriptions. + """ + + +@dataclass_with_extra +class TextGenerationInputGenerateParameters(BaseInferenceType): + adapter_id: Optional[str] = None + """Lora adapter id""" + best_of: Optional[int] = None + """Generate best_of sequences and return the one if the highest token logprobs.""" + decoder_input_details: Optional[bool] = None + """Whether to return decoder input token logprobs and ids.""" + details: Optional[bool] = None + """Whether to return generation details.""" + do_sample: Optional[bool] = None + """Activate logits sampling.""" + frequency_penalty: Optional[float] = None + """The parameter for frequency penalty. 1.0 means no penalty + Penalize new tokens based on their existing frequency in the text so far, + decreasing the model's likelihood to repeat the same line verbatim. + """ + grammar: Optional[TextGenerationInputGrammarType] = None + max_new_tokens: Optional[int] = None + """Maximum number of tokens to generate.""" + repetition_penalty: Optional[float] = None + """The parameter for repetition penalty. 1.0 means no penalty. + See [this paper](https://arxiv.org/pdf/1909.05858.pdf) for more details. + """ + return_full_text: Optional[bool] = None + """Whether to prepend the prompt to the generated text""" + seed: Optional[int] = None + """Random sampling seed.""" + stop: Optional[List[str]] = None + """Stop generating tokens if a member of `stop` is generated.""" + temperature: Optional[float] = None + """The value used to module the logits distribution.""" + top_k: Optional[int] = None + """The number of highest probability vocabulary tokens to keep for top-k-filtering.""" + top_n_tokens: Optional[int] = None + """The number of highest probability vocabulary tokens to keep for top-n-filtering.""" + top_p: Optional[float] = None + """Top-p value for nucleus sampling.""" + truncate: Optional[int] = None + """Truncate inputs tokens to the given size.""" + typical_p: Optional[float] = None + """Typical Decoding mass + See [Typical Decoding for Natural Language Generation](https://arxiv.org/abs/2202.00666) + for more information. + """ + watermark: Optional[bool] = None + """Watermarking with [A Watermark for Large Language + Models](https://arxiv.org/abs/2301.10226). + """ + + +@dataclass_with_extra +class TextGenerationInput(BaseInferenceType): + """Text Generation Input. + Auto-generated from TGI specs. + For more details, check out + https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-tgi-import.ts. + """ + + inputs: str + parameters: Optional[TextGenerationInputGenerateParameters] = None + stream: Optional[bool] = None + + +TextGenerationOutputFinishReason = Literal["length", "eos_token", "stop_sequence"] + + +@dataclass_with_extra +class TextGenerationOutputPrefillToken(BaseInferenceType): + id: int + logprob: float + text: str + + +@dataclass_with_extra +class TextGenerationOutputToken(BaseInferenceType): + id: int + logprob: float + special: bool + text: str + + +@dataclass_with_extra +class TextGenerationOutputBestOfSequence(BaseInferenceType): + finish_reason: "TextGenerationOutputFinishReason" + generated_text: str + generated_tokens: int + prefill: List[TextGenerationOutputPrefillToken] + tokens: List[TextGenerationOutputToken] + seed: Optional[int] = None + top_tokens: Optional[List[List[TextGenerationOutputToken]]] = None + + +@dataclass_with_extra +class TextGenerationOutputDetails(BaseInferenceType): + finish_reason: "TextGenerationOutputFinishReason" + generated_tokens: int + prefill: List[TextGenerationOutputPrefillToken] + tokens: List[TextGenerationOutputToken] + best_of_sequences: Optional[List[TextGenerationOutputBestOfSequence]] = None + seed: Optional[int] = None + top_tokens: Optional[List[List[TextGenerationOutputToken]]] = None + + +@dataclass_with_extra +class TextGenerationOutput(BaseInferenceType): + """Text Generation Output. + Auto-generated from TGI specs. + For more details, check out + https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-tgi-import.ts. + """ + + generated_text: str + details: Optional[TextGenerationOutputDetails] = None + + +@dataclass_with_extra +class TextGenerationStreamOutputStreamDetails(BaseInferenceType): + finish_reason: "TextGenerationOutputFinishReason" + generated_tokens: int + input_length: int + seed: Optional[int] = None + + +@dataclass_with_extra +class TextGenerationStreamOutputToken(BaseInferenceType): + id: int + logprob: float + special: bool + text: str + + +@dataclass_with_extra +class TextGenerationStreamOutput(BaseInferenceType): + """Text Generation Stream Output. + Auto-generated from TGI specs. + For more details, check out + https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-tgi-import.ts. + """ + + index: int + token: TextGenerationStreamOutputToken + details: Optional[TextGenerationStreamOutputStreamDetails] = None + generated_text: Optional[str] = None + top_tokens: Optional[List[TextGenerationStreamOutputToken]] = None diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_to_audio.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_to_audio.py new file mode 100644 index 0000000000000000000000000000000000000000..87af80a598af70800b8386f034c65de0b397479e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_to_audio.py @@ -0,0 +1,99 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, Literal, Optional, Union + +from .base import BaseInferenceType, dataclass_with_extra + + +TextToAudioEarlyStoppingEnum = Literal["never"] + + +@dataclass_with_extra +class TextToAudioGenerationParameters(BaseInferenceType): + """Parametrization of the text generation process""" + + do_sample: Optional[bool] = None + """Whether to use sampling instead of greedy decoding when generating new tokens.""" + early_stopping: Optional[Union[bool, "TextToAudioEarlyStoppingEnum"]] = None + """Controls the stopping condition for beam-based methods.""" + epsilon_cutoff: Optional[float] = None + """If set to float strictly between 0 and 1, only tokens with a conditional probability + greater than epsilon_cutoff will be sampled. In the paper, suggested values range from + 3e-4 to 9e-4, depending on the size of the model. See [Truncation Sampling as Language + Model Desmoothing](https://hf.co/papers/2210.15191) for more details. + """ + eta_cutoff: Optional[float] = None + """Eta sampling is a hybrid of locally typical sampling and epsilon sampling. If set to + float strictly between 0 and 1, a token is only considered if it is greater than either + eta_cutoff or sqrt(eta_cutoff) * exp(-entropy(softmax(next_token_logits))). The latter + term is intuitively the expected next token probability, scaled by sqrt(eta_cutoff). In + the paper, suggested values range from 3e-4 to 2e-3, depending on the size of the model. + See [Truncation Sampling as Language Model Desmoothing](https://hf.co/papers/2210.15191) + for more details. + """ + max_length: Optional[int] = None + """The maximum length (in tokens) of the generated text, including the input.""" + max_new_tokens: Optional[int] = None + """The maximum number of tokens to generate. Takes precedence over max_length.""" + min_length: Optional[int] = None + """The minimum length (in tokens) of the generated text, including the input.""" + min_new_tokens: Optional[int] = None + """The minimum number of tokens to generate. Takes precedence over min_length.""" + num_beam_groups: Optional[int] = None + """Number of groups to divide num_beams into in order to ensure diversity among different + groups of beams. See [this paper](https://hf.co/papers/1610.02424) for more details. + """ + num_beams: Optional[int] = None + """Number of beams to use for beam search.""" + penalty_alpha: Optional[float] = None + """The value balances the model confidence and the degeneration penalty in contrastive + search decoding. + """ + temperature: Optional[float] = None + """The value used to modulate the next token probabilities.""" + top_k: Optional[int] = None + """The number of highest probability vocabulary tokens to keep for top-k-filtering.""" + top_p: Optional[float] = None + """If set to float < 1, only the smallest set of most probable tokens with probabilities + that add up to top_p or higher are kept for generation. + """ + typical_p: Optional[float] = None + """Local typicality measures how similar the conditional probability of predicting a target + token next is to the expected conditional probability of predicting a random token next, + given the partial text already generated. If set to float < 1, the smallest set of the + most locally typical tokens with probabilities that add up to typical_p or higher are + kept for generation. See [this paper](https://hf.co/papers/2202.00666) for more details. + """ + use_cache: Optional[bool] = None + """Whether the model should use the past last key/values attentions to speed up decoding""" + + +@dataclass_with_extra +class TextToAudioParameters(BaseInferenceType): + """Additional inference parameters for Text To Audio""" + + generation_parameters: Optional[TextToAudioGenerationParameters] = None + """Parametrization of the text generation process""" + + +@dataclass_with_extra +class TextToAudioInput(BaseInferenceType): + """Inputs for Text To Audio inference""" + + inputs: str + """The input text data""" + parameters: Optional[TextToAudioParameters] = None + """Additional inference parameters for Text To Audio""" + + +@dataclass_with_extra +class TextToAudioOutput(BaseInferenceType): + """Outputs of inference for the Text To Audio task""" + + audio: Any + """The generated audio waveform.""" + sampling_rate: float + """The sampling rate of the generated audio waveform.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_to_image.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_to_image.py new file mode 100644 index 0000000000000000000000000000000000000000..20c963731371339975019ca5d40c95303d79209b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_to_image.py @@ -0,0 +1,50 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class TextToImageParameters(BaseInferenceType): + """Additional inference parameters for Text To Image""" + + guidance_scale: Optional[float] = None + """A higher guidance scale value encourages the model to generate images closely linked to + the text prompt, but values too high may cause saturation and other artifacts. + """ + height: Optional[int] = None + """The height in pixels of the output image""" + negative_prompt: Optional[str] = None + """One prompt to guide what NOT to include in image generation.""" + num_inference_steps: Optional[int] = None + """The number of denoising steps. More denoising steps usually lead to a higher quality + image at the expense of slower inference. + """ + scheduler: Optional[str] = None + """Override the scheduler with a compatible one.""" + seed: Optional[int] = None + """Seed for the random number generator.""" + width: Optional[int] = None + """The width in pixels of the output image""" + + +@dataclass_with_extra +class TextToImageInput(BaseInferenceType): + """Inputs for Text To Image inference""" + + inputs: str + """The input text data (sometimes called "prompt")""" + parameters: Optional[TextToImageParameters] = None + """Additional inference parameters for Text To Image""" + + +@dataclass_with_extra +class TextToImageOutput(BaseInferenceType): + """Outputs of inference for the Text To Image task""" + + image: Any + """The generated image returned as raw bytes in the payload.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_to_speech.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_to_speech.py new file mode 100644 index 0000000000000000000000000000000000000000..ce2db8f3f901cc99b5d2fcbb362c4b07b2a718e0 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_to_speech.py @@ -0,0 +1,99 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, Literal, Optional, Union + +from .base import BaseInferenceType, dataclass_with_extra + + +TextToSpeechEarlyStoppingEnum = Literal["never"] + + +@dataclass_with_extra +class TextToSpeechGenerationParameters(BaseInferenceType): + """Parametrization of the text generation process""" + + do_sample: Optional[bool] = None + """Whether to use sampling instead of greedy decoding when generating new tokens.""" + early_stopping: Optional[Union[bool, "TextToSpeechEarlyStoppingEnum"]] = None + """Controls the stopping condition for beam-based methods.""" + epsilon_cutoff: Optional[float] = None + """If set to float strictly between 0 and 1, only tokens with a conditional probability + greater than epsilon_cutoff will be sampled. In the paper, suggested values range from + 3e-4 to 9e-4, depending on the size of the model. See [Truncation Sampling as Language + Model Desmoothing](https://hf.co/papers/2210.15191) for more details. + """ + eta_cutoff: Optional[float] = None + """Eta sampling is a hybrid of locally typical sampling and epsilon sampling. If set to + float strictly between 0 and 1, a token is only considered if it is greater than either + eta_cutoff or sqrt(eta_cutoff) * exp(-entropy(softmax(next_token_logits))). The latter + term is intuitively the expected next token probability, scaled by sqrt(eta_cutoff). In + the paper, suggested values range from 3e-4 to 2e-3, depending on the size of the model. + See [Truncation Sampling as Language Model Desmoothing](https://hf.co/papers/2210.15191) + for more details. + """ + max_length: Optional[int] = None + """The maximum length (in tokens) of the generated text, including the input.""" + max_new_tokens: Optional[int] = None + """The maximum number of tokens to generate. Takes precedence over max_length.""" + min_length: Optional[int] = None + """The minimum length (in tokens) of the generated text, including the input.""" + min_new_tokens: Optional[int] = None + """The minimum number of tokens to generate. Takes precedence over min_length.""" + num_beam_groups: Optional[int] = None + """Number of groups to divide num_beams into in order to ensure diversity among different + groups of beams. See [this paper](https://hf.co/papers/1610.02424) for more details. + """ + num_beams: Optional[int] = None + """Number of beams to use for beam search.""" + penalty_alpha: Optional[float] = None + """The value balances the model confidence and the degeneration penalty in contrastive + search decoding. + """ + temperature: Optional[float] = None + """The value used to modulate the next token probabilities.""" + top_k: Optional[int] = None + """The number of highest probability vocabulary tokens to keep for top-k-filtering.""" + top_p: Optional[float] = None + """If set to float < 1, only the smallest set of most probable tokens with probabilities + that add up to top_p or higher are kept for generation. + """ + typical_p: Optional[float] = None + """Local typicality measures how similar the conditional probability of predicting a target + token next is to the expected conditional probability of predicting a random token next, + given the partial text already generated. If set to float < 1, the smallest set of the + most locally typical tokens with probabilities that add up to typical_p or higher are + kept for generation. See [this paper](https://hf.co/papers/2202.00666) for more details. + """ + use_cache: Optional[bool] = None + """Whether the model should use the past last key/values attentions to speed up decoding""" + + +@dataclass_with_extra +class TextToSpeechParameters(BaseInferenceType): + """Additional inference parameters for Text To Speech""" + + generation_parameters: Optional[TextToSpeechGenerationParameters] = None + """Parametrization of the text generation process""" + + +@dataclass_with_extra +class TextToSpeechInput(BaseInferenceType): + """Inputs for Text To Speech inference""" + + inputs: str + """The input text data""" + parameters: Optional[TextToSpeechParameters] = None + """Additional inference parameters for Text To Speech""" + + +@dataclass_with_extra +class TextToSpeechOutput(BaseInferenceType): + """Outputs of inference for the Text To Speech task""" + + audio: Any + """The generated audio""" + sampling_rate: Optional[float] = None + """The sampling rate of the generated audio waveform.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_to_video.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_to_video.py new file mode 100644 index 0000000000000000000000000000000000000000..e54a1bc094e4aaf7132e502aa268bc052ab34f0a --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/text_to_video.py @@ -0,0 +1,46 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, List, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class TextToVideoParameters(BaseInferenceType): + """Additional inference parameters for Text To Video""" + + guidance_scale: Optional[float] = None + """A higher guidance scale value encourages the model to generate videos closely linked to + the text prompt, but values too high may cause saturation and other artifacts. + """ + negative_prompt: Optional[List[str]] = None + """One or several prompt to guide what NOT to include in video generation.""" + num_frames: Optional[float] = None + """The num_frames parameter determines how many video frames are generated.""" + num_inference_steps: Optional[int] = None + """The number of denoising steps. More denoising steps usually lead to a higher quality + video at the expense of slower inference. + """ + seed: Optional[int] = None + """Seed for the random number generator.""" + + +@dataclass_with_extra +class TextToVideoInput(BaseInferenceType): + """Inputs for Text To Video inference""" + + inputs: str + """The input text data (sometimes called "prompt")""" + parameters: Optional[TextToVideoParameters] = None + """Additional inference parameters for Text To Video""" + + +@dataclass_with_extra +class TextToVideoOutput(BaseInferenceType): + """Outputs of inference for the Text To Video task""" + + video: Any + """The generated video returned as raw bytes in the payload.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/token_classification.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/token_classification.py new file mode 100644 index 0000000000000000000000000000000000000000..e039b6a1db7dcd54dbc9434d3254da0770c6799e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/token_classification.py @@ -0,0 +1,51 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import List, Literal, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +TokenClassificationAggregationStrategy = Literal["none", "simple", "first", "average", "max"] + + +@dataclass_with_extra +class TokenClassificationParameters(BaseInferenceType): + """Additional inference parameters for Token Classification""" + + aggregation_strategy: Optional["TokenClassificationAggregationStrategy"] = None + """The strategy used to fuse tokens based on model predictions""" + ignore_labels: Optional[List[str]] = None + """A list of labels to ignore""" + stride: Optional[int] = None + """The number of overlapping tokens between chunks when splitting the input text.""" + + +@dataclass_with_extra +class TokenClassificationInput(BaseInferenceType): + """Inputs for Token Classification inference""" + + inputs: str + """The input text data""" + parameters: Optional[TokenClassificationParameters] = None + """Additional inference parameters for Token Classification""" + + +@dataclass_with_extra +class TokenClassificationOutputElement(BaseInferenceType): + """Outputs of inference for the Token Classification task""" + + end: int + """The character position in the input where this group ends.""" + score: float + """The associated score / probability""" + start: int + """The character position in the input where this group begins.""" + word: str + """The corresponding text""" + entity: Optional[str] = None + """The predicted label for a single token""" + entity_group: Optional[str] = None + """The predicted label for a group of one or more tokens""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/translation.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/translation.py new file mode 100644 index 0000000000000000000000000000000000000000..df95b7dbb1f4ce5b80cec034e004bb6e71387be8 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/translation.py @@ -0,0 +1,49 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, Dict, Literal, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +TranslationTruncationStrategy = Literal["do_not_truncate", "longest_first", "only_first", "only_second"] + + +@dataclass_with_extra +class TranslationParameters(BaseInferenceType): + """Additional inference parameters for Translation""" + + clean_up_tokenization_spaces: Optional[bool] = None + """Whether to clean up the potential extra spaces in the text output.""" + generate_parameters: Optional[Dict[str, Any]] = None + """Additional parametrization of the text generation algorithm.""" + src_lang: Optional[str] = None + """The source language of the text. Required for models that can translate from multiple + languages. + """ + tgt_lang: Optional[str] = None + """Target language to translate to. Required for models that can translate to multiple + languages. + """ + truncation: Optional["TranslationTruncationStrategy"] = None + """The truncation strategy to use.""" + + +@dataclass_with_extra +class TranslationInput(BaseInferenceType): + """Inputs for Translation inference""" + + inputs: str + """The text to translate.""" + parameters: Optional[TranslationParameters] = None + """Additional inference parameters for Translation""" + + +@dataclass_with_extra +class TranslationOutput(BaseInferenceType): + """Outputs of inference for the Translation task""" + + translation_text: str + """The translated text.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/video_classification.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/video_classification.py new file mode 100644 index 0000000000000000000000000000000000000000..e1d7a15bb4ee5fa63aa6ebc3750191bd38549212 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/video_classification.py @@ -0,0 +1,45 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, Literal, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +VideoClassificationOutputTransform = Literal["sigmoid", "softmax", "none"] + + +@dataclass_with_extra +class VideoClassificationParameters(BaseInferenceType): + """Additional inference parameters for Video Classification""" + + frame_sampling_rate: Optional[int] = None + """The sampling rate used to select frames from the video.""" + function_to_apply: Optional["VideoClassificationOutputTransform"] = None + """The function to apply to the model outputs in order to retrieve the scores.""" + num_frames: Optional[int] = None + """The number of sampled frames to consider for classification.""" + top_k: Optional[int] = None + """When specified, limits the output to the top K most probable classes.""" + + +@dataclass_with_extra +class VideoClassificationInput(BaseInferenceType): + """Inputs for Video Classification inference""" + + inputs: Any + """The input video data""" + parameters: Optional[VideoClassificationParameters] = None + """Additional inference parameters for Video Classification""" + + +@dataclass_with_extra +class VideoClassificationOutputElement(BaseInferenceType): + """Outputs of inference for the Video Classification task""" + + label: str + """The predicted class label.""" + score: float + """The corresponding probability.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/visual_question_answering.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/visual_question_answering.py new file mode 100644 index 0000000000000000000000000000000000000000..d368f1621289bc11a17be3e590cf8a040019d455 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/visual_question_answering.py @@ -0,0 +1,49 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import Any, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class VisualQuestionAnsweringInputData(BaseInferenceType): + """One (image, question) pair to answer""" + + image: Any + """The image.""" + question: str + """The question to answer based on the image.""" + + +@dataclass_with_extra +class VisualQuestionAnsweringParameters(BaseInferenceType): + """Additional inference parameters for Visual Question Answering""" + + top_k: Optional[int] = None + """The number of answers to return (will be chosen by order of likelihood). Note that we + return less than topk answers if there are not enough options available within the + context. + """ + + +@dataclass_with_extra +class VisualQuestionAnsweringInput(BaseInferenceType): + """Inputs for Visual Question Answering inference""" + + inputs: VisualQuestionAnsweringInputData + """One (image, question) pair to answer""" + parameters: Optional[VisualQuestionAnsweringParameters] = None + """Additional inference parameters for Visual Question Answering""" + + +@dataclass_with_extra +class VisualQuestionAnsweringOutputElement(BaseInferenceType): + """Outputs of inference for the Visual Question Answering task""" + + score: float + """The associated score / probability""" + answer: Optional[str] = None + """The answer to the question""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/zero_shot_classification.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/zero_shot_classification.py new file mode 100644 index 0000000000000000000000000000000000000000..47b32492e358edcc0de6aa09d53635b0a8156b25 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/zero_shot_classification.py @@ -0,0 +1,45 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import List, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class ZeroShotClassificationParameters(BaseInferenceType): + """Additional inference parameters for Zero Shot Classification""" + + candidate_labels: List[str] + """The set of possible class labels to classify the text into.""" + hypothesis_template: Optional[str] = None + """The sentence used in conjunction with `candidate_labels` to attempt the text + classification by replacing the placeholder with the candidate labels. + """ + multi_label: Optional[bool] = None + """Whether multiple candidate labels can be true. If false, the scores are normalized such + that the sum of the label likelihoods for each sequence is 1. If true, the labels are + considered independent and probabilities are normalized for each candidate. + """ + + +@dataclass_with_extra +class ZeroShotClassificationInput(BaseInferenceType): + """Inputs for Zero Shot Classification inference""" + + inputs: str + """The text to classify""" + parameters: ZeroShotClassificationParameters + """Additional inference parameters for Zero Shot Classification""" + + +@dataclass_with_extra +class ZeroShotClassificationOutputElement(BaseInferenceType): + """Outputs of inference for the Zero Shot Classification task""" + + label: str + """The predicted class label.""" + score: float + """The corresponding probability.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/zero_shot_image_classification.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/zero_shot_image_classification.py new file mode 100644 index 0000000000000000000000000000000000000000..998d66b6b4e3356f0f09a0ad25ebdaf2e76cd03f --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/zero_shot_image_classification.py @@ -0,0 +1,40 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import List, Optional + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class ZeroShotImageClassificationParameters(BaseInferenceType): + """Additional inference parameters for Zero Shot Image Classification""" + + candidate_labels: List[str] + """The candidate labels for this image""" + hypothesis_template: Optional[str] = None + """The sentence used in conjunction with `candidate_labels` to attempt the image + classification by replacing the placeholder with the candidate labels. + """ + + +@dataclass_with_extra +class ZeroShotImageClassificationInput(BaseInferenceType): + """Inputs for Zero Shot Image Classification inference""" + + inputs: str + """The input image data to classify as a base64-encoded string.""" + parameters: ZeroShotImageClassificationParameters + """Additional inference parameters for Zero Shot Image Classification""" + + +@dataclass_with_extra +class ZeroShotImageClassificationOutputElement(BaseInferenceType): + """Outputs of inference for the Zero Shot Image Classification task""" + + label: str + """The predicted class label.""" + score: float + """The corresponding probability.""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/zero_shot_object_detection.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/zero_shot_object_detection.py new file mode 100644 index 0000000000000000000000000000000000000000..8ef76b5fcb93e8126266e4b1464934d01024b1b7 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_generated/types/zero_shot_object_detection.py @@ -0,0 +1,52 @@ +# Inference code generated from the JSON schema spec in @huggingface/tasks. +# +# See: +# - script: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-codegen.ts +# - specs: https://github.com/huggingface/huggingface.js/tree/main/packages/tasks/src/tasks. +from typing import List + +from .base import BaseInferenceType, dataclass_with_extra + + +@dataclass_with_extra +class ZeroShotObjectDetectionParameters(BaseInferenceType): + """Additional inference parameters for Zero Shot Object Detection""" + + candidate_labels: List[str] + """The candidate labels for this image""" + + +@dataclass_with_extra +class ZeroShotObjectDetectionInput(BaseInferenceType): + """Inputs for Zero Shot Object Detection inference""" + + inputs: str + """The input image data as a base64-encoded string.""" + parameters: ZeroShotObjectDetectionParameters + """Additional inference parameters for Zero Shot Object Detection""" + + +@dataclass_with_extra +class ZeroShotObjectDetectionBoundingBox(BaseInferenceType): + """The predicted bounding box. Coordinates are relative to the top left corner of the input + image. + """ + + xmax: int + xmin: int + ymax: int + ymin: int + + +@dataclass_with_extra +class ZeroShotObjectDetectionOutputElement(BaseInferenceType): + """Outputs of inference for the Zero Shot Object Detection task""" + + box: ZeroShotObjectDetectionBoundingBox + """The predicted bounding box. Coordinates are relative to the top left corner of the input + image. + """ + label: str + """A candidate label""" + score: float + """The associated score / probability""" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..55b20db03da1ac235b754df972ef1e68066c4fea Binary files 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b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/_cli_hacks.py new file mode 100644 index 0000000000000000000000000000000000000000..44113b9101a78c7fc5c7abfb58965ed0c22032a1 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/_cli_hacks.py @@ -0,0 +1,88 @@ +import asyncio +import sys +from functools import partial + +import typer + + +def _patch_anyio_open_process(): + """ + Patch anyio.open_process to allow detached processes on Windows and Unix-like systems. + + This is necessary to prevent the MCP client from being interrupted by Ctrl+C when running in the CLI. + """ + import subprocess + + import anyio + + if getattr(anyio, "_tiny_agents_patched", False): + return + anyio._tiny_agents_patched = True + + original_open_process = anyio.open_process + + if sys.platform == "win32": + # On Windows, we need to set the creation flags to create a new process group + + async def open_process_in_new_group(*args, **kwargs): + """ + Wrapper for open_process to handle Windows-specific process creation flags. + """ + # Ensure we pass the creation flags for Windows + kwargs.setdefault("creationflags", subprocess.CREATE_NEW_PROCESS_GROUP) + return await original_open_process(*args, **kwargs) + + anyio.open_process = open_process_in_new_group + else: + # For Unix-like systems, we can use setsid to create a new session + async def open_process_in_new_group(*args, **kwargs): + """ + Wrapper for open_process to handle Unix-like systems with start_new_session=True. + """ + kwargs.setdefault("start_new_session", True) + return await original_open_process(*args, **kwargs) + + anyio.open_process = open_process_in_new_group + + +async def _async_prompt(exit_event: asyncio.Event, prompt: str = "» ") -> str: + """ + Asynchronous prompt function that reads input from stdin without blocking. + + This function is designed to work in an asynchronous context, allowing the event loop to gracefully stop it (e.g. on Ctrl+C). + + Alternatively, we could use https://github.com/vxgmichel/aioconsole but that would be an additional dependency. + """ + loop = asyncio.get_event_loop() + + if sys.platform == "win32": + # Windows: Use run_in_executor to avoid blocking the event loop + # Degraded solution: this is not ideal as user will have to CTRL+C once more to stop the prompt (and it'll not be graceful) + return await loop.run_in_executor(None, partial(typer.prompt, prompt, prompt_suffix=" ")) + else: + # UNIX-like: Use loop.add_reader for non-blocking stdin read + future = loop.create_future() + + def on_input(): + line = sys.stdin.readline() + loop.remove_reader(sys.stdin) + future.set_result(line) + + print(prompt, end=" ", flush=True) + loop.add_reader(sys.stdin, on_input) # not supported on Windows + + # Wait for user input or exit event + # Wait until either the user hits enter or exit_event is set + exit_task = asyncio.create_task(exit_event.wait()) + await asyncio.wait( + [future, exit_task], + return_when=asyncio.FIRST_COMPLETED, + ) + + # Check which one has been triggered + if exit_event.is_set(): + future.cancel() + return "" + + line = await future + return line.strip() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/agent.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/agent.py new file mode 100644 index 0000000000000000000000000000000000000000..4f88016ba709d15445525e2bd252febb5b2287ab --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/agent.py @@ -0,0 +1,103 @@ +from __future__ import annotations + +import asyncio +from typing import AsyncGenerator, Dict, Iterable, List, Optional, Union + +from huggingface_hub import ChatCompletionInputMessage, ChatCompletionStreamOutput, MCPClient + +from .._providers import PROVIDER_OR_POLICY_T +from .constants import DEFAULT_SYSTEM_PROMPT, EXIT_LOOP_TOOLS, MAX_NUM_TURNS +from .types import ServerConfig + + +class Agent(MCPClient): + """ + Implementation of a Simple Agent, which is a simple while loop built right on top of an [`MCPClient`]. + + + + This class is experimental and might be subject to breaking changes in the future without prior notice. + + + + Args: + model (`str`, *optional*): + The model to run inference with. Can be a model id hosted on the Hugging Face Hub, e.g. `meta-llama/Meta-Llama-3-8B-Instruct` + or a URL to a deployed Inference Endpoint or other local or remote endpoint. + servers (`Iterable[Dict]`): + MCP servers to connect to. Each server is a dictionary containing a `type` key and a `config` key. The `type` key can be `"stdio"` or `"sse"`, and the `config` key is a dictionary of arguments for the server. + provider (`str`, *optional*): + Name of the provider to use for inference. Defaults to "auto" i.e. the first of the providers available for the model, sorted by the user's order in https://hf.co/settings/inference-providers. + If model is a URL or `base_url` is passed, then `provider` is not used. + base_url (`str`, *optional*): + The base URL to run inference. Defaults to None. + api_key (`str`, *optional*): + Token to use for authentication. Will default to the locally Hugging Face saved token if not provided. You can also use your own provider API key to interact directly with the provider's service. + prompt (`str`, *optional*): + The system prompt to use for the agent. Defaults to the default system prompt in `constants.py`. + """ + + def __init__( + self, + *, + model: Optional[str] = None, + servers: Iterable[ServerConfig], + provider: Optional[PROVIDER_OR_POLICY_T] = None, + base_url: Optional[str] = None, + api_key: Optional[str] = None, + prompt: Optional[str] = None, + ): + super().__init__(model=model, provider=provider, base_url=base_url, api_key=api_key) + self._servers_cfg = list(servers) + self.messages: List[Union[Dict, ChatCompletionInputMessage]] = [ + {"role": "system", "content": prompt or DEFAULT_SYSTEM_PROMPT} + ] + + async def load_tools(self) -> None: + for cfg in self._servers_cfg: + await self.add_mcp_server(**cfg) + + async def run( + self, + user_input: str, + *, + abort_event: Optional[asyncio.Event] = None, + ) -> AsyncGenerator[Union[ChatCompletionStreamOutput, ChatCompletionInputMessage], None]: + """ + Run the agent with the given user input. + + Args: + user_input (`str`): + The user input to run the agent with. + abort_event (`asyncio.Event`, *optional*): + An event that can be used to abort the agent. If the event is set, the agent will stop running. + """ + self.messages.append({"role": "user", "content": user_input}) + + num_turns: int = 0 + next_turn_should_call_tools = True + + while True: + if abort_event and abort_event.is_set(): + return + + async for item in self.process_single_turn_with_tools( + self.messages, + exit_loop_tools=EXIT_LOOP_TOOLS, + exit_if_first_chunk_no_tool=(num_turns > 0 and next_turn_should_call_tools), + ): + yield item + + num_turns += 1 + last = self.messages[-1] + + if last.get("role") == "tool" and last.get("name") in {t.function.name for t in EXIT_LOOP_TOOLS}: + return + + if last.get("role") != "tool" and num_turns > MAX_NUM_TURNS: + return + + if last.get("role") != "tool" and next_turn_should_call_tools: + return + + next_turn_should_call_tools = last.get("role") != "tool" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/cli.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/cli.py new file mode 100644 index 0000000000000000000000000000000000000000..ce0a2536b63ee207f378b3ef45980a915d432a14 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/cli.py @@ -0,0 +1,247 @@ +import asyncio +import os +import signal +import traceback +from typing import Optional + +import typer +from rich import print + +from ._cli_hacks import _async_prompt, _patch_anyio_open_process +from .agent import Agent +from .utils import _load_agent_config + + +app = typer.Typer( + rich_markup_mode="rich", + help="A squad of lightweight composable AI applications built on Hugging Face's Inference Client and MCP stack.", +) + +run_cli = typer.Typer( + name="run", + help="Run the Agent in the CLI", + invoke_without_command=True, +) +app.add_typer(run_cli, name="run") + + +async def run_agent( + agent_path: Optional[str], +) -> None: + """ + Tiny Agent loop. + + Args: + agent_path (`str`, *optional*): + Path to a local folder containing an `agent.json` and optionally a custom `PROMPT.md` file or a built-in agent stored in a Hugging Face dataset. + + """ + _patch_anyio_open_process() # Hacky way to prevent stdio connections to be stopped by Ctrl+C + + config, prompt = _load_agent_config(agent_path) + + inputs = config.get("inputs", []) + servers = config.get("servers", []) + + abort_event = asyncio.Event() + exit_event = asyncio.Event() + first_sigint = True + + loop = asyncio.get_running_loop() + original_sigint_handler = signal.getsignal(signal.SIGINT) + + def _sigint_handler() -> None: + nonlocal first_sigint + if first_sigint: + first_sigint = False + abort_event.set() + print("\n[red]Interrupted. Press Ctrl+C again to quit.[/red]", flush=True) + return + + print("\n[red]Exiting...[/red]", flush=True) + exit_event.set() + + try: + sigint_registered_in_loop = False + try: + loop.add_signal_handler(signal.SIGINT, _sigint_handler) + sigint_registered_in_loop = True + except (AttributeError, NotImplementedError): + # Windows (or any loop that doesn't support it) : fall back to sync + signal.signal(signal.SIGINT, lambda *_: _sigint_handler()) + + # Handle inputs (i.e. env variables injection) + resolved_inputs: dict[str, str] = {} + + if len(inputs) > 0: + print( + "[bold blue]Some initial inputs are required by the agent. " + "Please provide a value or leave empty to load from env.[/bold blue]" + ) + for input_item in inputs: + input_id = input_item["id"] + description = input_item["description"] + env_special_value = f"${{input:{input_id}}}" + + # Check if the input is used by any server or as an apiKey + input_usages = set() + for server in servers: + # Check stdio's "env" and http/sse's "headers" mappings + env_or_headers = server.get("env", {}) if server["type"] == "stdio" else server.get("headers", {}) + for key, value in env_or_headers.items(): + if env_special_value in value: + input_usages.add(key) + + raw_api_key = config.get("apiKey") + if isinstance(raw_api_key, str) and env_special_value in raw_api_key: + input_usages.add("apiKey") + + if not input_usages: + print( + f"[yellow]Input '{input_id}' defined in config but not used by any server or as an API key." + " Skipping.[/yellow]" + ) + continue + + # Prompt user for input + env_variable_key = input_id.replace("-", "_").upper() + print( + f"[blue] • {input_id}[/blue]: {description}. (default: load from {env_variable_key}).", + end=" ", + ) + user_input = (await _async_prompt(exit_event=exit_event)).strip() + if exit_event.is_set(): + return + + # Fallback to environment variable when user left blank + final_value = user_input + if not final_value: + final_value = os.getenv(env_variable_key, "") + if final_value: + print(f"[green]Value successfully loaded from '{env_variable_key}'[/green]") + else: + print( + f"[yellow]No value found for '{env_variable_key}' in environment variables. Continuing.[/yellow]" + ) + resolved_inputs[input_id] = final_value + + # Inject resolved value (can be empty) into stdio's env or http/sse's headers + for server in servers: + env_or_headers = server.get("env", {}) if server["type"] == "stdio" else server.get("headers", {}) + for key, value in env_or_headers.items(): + if env_special_value in value: + env_or_headers[key] = env_or_headers[key].replace(env_special_value, final_value) + + print() + + raw_api_key = config.get("apiKey") + if isinstance(raw_api_key, str): + substituted_api_key = raw_api_key + for input_id, val in resolved_inputs.items(): + substituted_api_key = substituted_api_key.replace(f"${{input:{input_id}}}", val) + config["apiKey"] = substituted_api_key + # Main agent loop + async with Agent( + provider=config.get("provider"), # type: ignore[arg-type] + model=config.get("model"), + base_url=config.get("endpointUrl"), # type: ignore[arg-type] + api_key=config.get("apiKey"), + servers=servers, # type: ignore[arg-type] + prompt=prompt, + ) as agent: + await agent.load_tools() + print(f"[bold blue]Agent loaded with {len(agent.available_tools)} tools:[/bold blue]") + for t in agent.available_tools: + print(f"[blue] • {t.function.name}[/blue]") + + while True: + abort_event.clear() + + # Check if we should exit + if exit_event.is_set(): + return + + try: + user_input = await _async_prompt(exit_event=exit_event) + first_sigint = True + except EOFError: + print("\n[red]EOF received, exiting.[/red]", flush=True) + break + except KeyboardInterrupt: + if not first_sigint and abort_event.is_set(): + continue + else: + print("\n[red]Keyboard interrupt during input processing.[/red]", flush=True) + break + + try: + async for chunk in agent.run(user_input, abort_event=abort_event): + if abort_event.is_set() and not first_sigint: + break + if exit_event.is_set(): + return + + if hasattr(chunk, "choices"): + delta = chunk.choices[0].delta + if delta.content: + print(delta.content, end="", flush=True) + if delta.tool_calls: + for call in delta.tool_calls: + if call.id: + print(f"", end="") + if call.function.name: + print(f"{call.function.name}", end=" ") + if call.function.arguments: + print(f"{call.function.arguments}", end="") + else: + print( + f"\n\n[green]Tool[{chunk.name}] {chunk.tool_call_id}\n{chunk.content}[/green]\n", + flush=True, + ) + + print() + + except Exception as e: + tb_str = traceback.format_exc() + print(f"\n[bold red]Error during agent run: {e}\n{tb_str}[/bold red]", flush=True) + first_sigint = True # Allow graceful interrupt for the next command + + except Exception as e: + tb_str = traceback.format_exc() + print(f"\n[bold red]An unexpected error occurred: {e}\n{tb_str}[/bold red]", flush=True) + raise e + + finally: + if sigint_registered_in_loop: + try: + loop.remove_signal_handler(signal.SIGINT) + except (AttributeError, NotImplementedError): + pass + else: + signal.signal(signal.SIGINT, original_sigint_handler) + + +@run_cli.callback() +def run( + path: Optional[str] = typer.Argument( + None, + help=( + "Path to a local folder containing an agent.json file or a built-in agent " + "stored in the 'tiny-agents/tiny-agents' Hugging Face dataset " + "(https://huggingface.co/datasets/tiny-agents/tiny-agents)" + ), + show_default=False, + ), +): + try: + asyncio.run(run_agent(path)) + except KeyboardInterrupt: + print("\n[red]Application terminated by KeyboardInterrupt.[/red]", flush=True) + raise typer.Exit(code=130) + except Exception as e: + print(f"\n[bold red]An unexpected error occurred: {e}[/bold red]", flush=True) + raise e + + +if __name__ == "__main__": + app() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/constants.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/constants.py new file mode 100644 index 0000000000000000000000000000000000000000..968bae48ed19c2ba8011eeb676ac2699f5eb3beb --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/constants.py @@ -0,0 +1,82 @@ +from __future__ import annotations + +import sys +from pathlib import Path +from typing import List + +from huggingface_hub import ChatCompletionInputTool + + +FILENAME_CONFIG = "agent.json" +FILENAME_PROMPT = "PROMPT.md" + +DEFAULT_AGENT = { + "model": "Qwen/Qwen2.5-72B-Instruct", + "provider": "nebius", + "servers": [ + { + "type": "stdio", + "command": "npx", + "args": [ + "-y", + "@modelcontextprotocol/server-filesystem", + str(Path.home() / ("Desktop" if sys.platform == "darwin" else "")), + ], + }, + { + "type": "stdio", + "command": "npx", + "args": ["@playwright/mcp@latest"], + }, + ], +} + + +DEFAULT_SYSTEM_PROMPT = """ +You are an agent - please keep going until the user’s query is completely +resolved, before ending your turn and yielding back to the user. Only terminate +your turn when you are sure that the problem is solved, or if you need more +info from the user to solve the problem. +If you are not sure about anything pertaining to the user’s request, use your +tools to read files and gather the relevant information: do NOT guess or make +up an answer. +You MUST plan extensively before each function call, and reflect extensively +on the outcomes of the previous function calls. DO NOT do this entire process +by making function calls only, as this can impair your ability to solve the +problem and think insightfully. +""".strip() + +MAX_NUM_TURNS = 10 + +TASK_COMPLETE_TOOL: ChatCompletionInputTool = ChatCompletionInputTool.parse_obj( # type: ignore[assignment] + { + "type": "function", + "function": { + "name": "task_complete", + "description": "Call this tool when the task given by the user is complete", + "parameters": { + "type": "object", + "properties": {}, + }, + }, + } +) + +ASK_QUESTION_TOOL: ChatCompletionInputTool = ChatCompletionInputTool.parse_obj( # type: ignore[assignment] + { + "type": "function", + "function": { + "name": "ask_question", + "description": "Ask the user for more info required to solve or clarify their problem.", + "parameters": { + "type": "object", + "properties": {}, + }, + }, + } +) + +EXIT_LOOP_TOOLS: List[ChatCompletionInputTool] = [TASK_COMPLETE_TOOL, ASK_QUESTION_TOOL] + + +DEFAULT_REPO_ID = "tiny-agents/tiny-agents" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/mcp_client.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/mcp_client.py new file mode 100644 index 0000000000000000000000000000000000000000..2712dea12127ed69a088d9414f0715de3e103d8b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/mcp_client.py @@ -0,0 +1,369 @@ +import json +import logging +from contextlib import AsyncExitStack +from datetime import timedelta +from pathlib import Path +from typing import TYPE_CHECKING, Any, AsyncIterable, Dict, List, Literal, Optional, Union, overload + +from typing_extensions import NotRequired, TypeAlias, TypedDict, Unpack + +from ...utils._runtime import get_hf_hub_version +from .._generated._async_client import AsyncInferenceClient +from .._generated.types import ( + ChatCompletionInputMessage, + ChatCompletionInputTool, + ChatCompletionStreamOutput, + ChatCompletionStreamOutputDeltaToolCall, +) +from .._providers import PROVIDER_OR_POLICY_T +from .utils import format_result + + +if TYPE_CHECKING: + from mcp import ClientSession + +logger = logging.getLogger(__name__) + +# Type alias for tool names +ToolName: TypeAlias = str + +ServerType: TypeAlias = Literal["stdio", "sse", "http"] + + +class StdioServerParameters_T(TypedDict): + command: str + args: NotRequired[List[str]] + env: NotRequired[Dict[str, str]] + cwd: NotRequired[Union[str, Path, None]] + + +class SSEServerParameters_T(TypedDict): + url: str + headers: NotRequired[Dict[str, Any]] + timeout: NotRequired[float] + sse_read_timeout: NotRequired[float] + + +class StreamableHTTPParameters_T(TypedDict): + url: str + headers: NotRequired[dict[str, Any]] + timeout: NotRequired[timedelta] + sse_read_timeout: NotRequired[timedelta] + terminate_on_close: NotRequired[bool] + + +class MCPClient: + """ + Client for connecting to one or more MCP servers and processing chat completions with tools. + + + + This class is experimental and might be subject to breaking changes in the future without prior notice. + + + + Args: + model (`str`, `optional`): + The model to run inference with. Can be a model id hosted on the Hugging Face Hub, e.g. `meta-llama/Meta-Llama-3-8B-Instruct` + or a URL to a deployed Inference Endpoint or other local or remote endpoint. + provider (`str`, *optional*): + Name of the provider to use for inference. Defaults to "auto" i.e. the first of the providers available for the model, sorted by the user's order in https://hf.co/settings/inference-providers. + If model is a URL or `base_url` is passed, then `provider` is not used. + base_url (`str`, *optional*): + The base URL to run inference. Defaults to None. + api_key (`str`, `optional`): + Token to use for authentication. Will default to the locally Hugging Face saved token if not provided. You can also use your own provider API key to interact directly with the provider's service. + """ + + def __init__( + self, + *, + model: Optional[str] = None, + provider: Optional[PROVIDER_OR_POLICY_T] = None, + base_url: Optional[str] = None, + api_key: Optional[str] = None, + ): + # Initialize MCP sessions as a dictionary of ClientSession objects + self.sessions: Dict[ToolName, "ClientSession"] = {} + self.exit_stack = AsyncExitStack() + self.available_tools: List[ChatCompletionInputTool] = [] + # To be able to send the model in the payload if `base_url` is provided + if model is None and base_url is None: + raise ValueError("At least one of `model` or `base_url` should be set in `MCPClient`.") + self.payload_model = model + self.client = AsyncInferenceClient( + model=None if base_url is not None else model, + provider=provider, + api_key=api_key, + base_url=base_url, + ) + + async def __aenter__(self): + """Enter the context manager""" + await self.client.__aenter__() + await self.exit_stack.__aenter__() + return self + + async def __aexit__(self, exc_type, exc_val, exc_tb): + """Exit the context manager""" + await self.client.__aexit__(exc_type, exc_val, exc_tb) + await self.cleanup() + + async def cleanup(self): + """Clean up resources""" + await self.client.close() + await self.exit_stack.aclose() + + @overload + async def add_mcp_server(self, type: Literal["stdio"], **params: Unpack[StdioServerParameters_T]): ... + + @overload + async def add_mcp_server(self, type: Literal["sse"], **params: Unpack[SSEServerParameters_T]): ... + + @overload + async def add_mcp_server(self, type: Literal["http"], **params: Unpack[StreamableHTTPParameters_T]): ... + + async def add_mcp_server(self, type: ServerType, **params: Any): + """Connect to an MCP server + + Args: + type (`str`): + Type of the server to connect to. Can be one of: + - "stdio": Standard input/output server (local) + - "sse": Server-sent events (SSE) server + - "http": StreamableHTTP server + **params (`Dict[str, Any]`): + Server parameters that can be either: + - For stdio servers: + - command (str): The command to run the MCP server + - args (List[str], optional): Arguments for the command + - env (Dict[str, str], optional): Environment variables for the command + - cwd (Union[str, Path, None], optional): Working directory for the command + - For SSE servers: + - url (str): The URL of the SSE server + - headers (Dict[str, Any], optional): Headers for the SSE connection + - timeout (float, optional): Connection timeout + - sse_read_timeout (float, optional): SSE read timeout + - For StreamableHTTP servers: + - url (str): The URL of the StreamableHTTP server + - headers (Dict[str, Any], optional): Headers for the StreamableHTTP connection + - timeout (timedelta, optional): Connection timeout + - sse_read_timeout (timedelta, optional): SSE read timeout + - terminate_on_close (bool, optional): Whether to terminate on close + """ + from mcp import ClientSession, StdioServerParameters + from mcp import types as mcp_types + + # Determine server type and create appropriate parameters + if type == "stdio": + # Handle stdio server + from mcp.client.stdio import stdio_client + + logger.info(f"Connecting to stdio MCP server with command: {params['command']} {params.get('args', [])}") + + client_kwargs = {"command": params["command"]} + for key in ["args", "env", "cwd"]: + if params.get(key) is not None: + client_kwargs[key] = params[key] + server_params = StdioServerParameters(**client_kwargs) + read, write = await self.exit_stack.enter_async_context(stdio_client(server_params)) + elif type == "sse": + # Handle SSE server + from mcp.client.sse import sse_client + + logger.info(f"Connecting to SSE MCP server at: {params['url']}") + + client_kwargs = {"url": params["url"]} + for key in ["headers", "timeout", "sse_read_timeout"]: + if params.get(key) is not None: + client_kwargs[key] = params[key] + read, write = await self.exit_stack.enter_async_context(sse_client(**client_kwargs)) + elif type == "http": + # Handle StreamableHTTP server + from mcp.client.streamable_http import streamablehttp_client + + logger.info(f"Connecting to StreamableHTTP MCP server at: {params['url']}") + + client_kwargs = {"url": params["url"]} + for key in ["headers", "timeout", "sse_read_timeout", "terminate_on_close"]: + if params.get(key) is not None: + client_kwargs[key] = params[key] + read, write, _ = await self.exit_stack.enter_async_context(streamablehttp_client(**client_kwargs)) + # ^ TODO: should be handle `get_session_id_callback`? (function to retrieve the current session ID) + else: + raise ValueError(f"Unsupported server type: {type}") + + session = await self.exit_stack.enter_async_context( + ClientSession( + read_stream=read, + write_stream=write, + client_info=mcp_types.Implementation( + name="huggingface_hub.MCPClient", + version=get_hf_hub_version(), + ), + ) + ) + + logger.debug("Initializing session...") + await session.initialize() + + # List available tools + response = await session.list_tools() + logger.debug("Connected to server with tools:", [tool.name for tool in response.tools]) + + for tool in response.tools: + if tool.name in self.sessions: + logger.warning(f"Tool '{tool.name}' already defined by another server. Skipping.") + continue + + # Map tool names to their server for later lookup + self.sessions[tool.name] = session + + # Add tool to the list of available tools (for use in chat completions) + self.available_tools.append( + ChatCompletionInputTool.parse_obj_as_instance( + { + "type": "function", + "function": { + "name": tool.name, + "description": tool.description, + "parameters": tool.inputSchema, + }, + } + ) + ) + + async def process_single_turn_with_tools( + self, + messages: List[Union[Dict, ChatCompletionInputMessage]], + exit_loop_tools: Optional[List[ChatCompletionInputTool]] = None, + exit_if_first_chunk_no_tool: bool = False, + ) -> AsyncIterable[Union[ChatCompletionStreamOutput, ChatCompletionInputMessage]]: + """Process a query using `self.model` and available tools, yielding chunks and tool outputs. + + Args: + messages (`List[Dict]`): + List of message objects representing the conversation history + exit_loop_tools (`List[ChatCompletionInputTool]`, *optional*): + List of tools that should exit the generator when called + exit_if_first_chunk_no_tool (`bool`, *optional*): + Exit if no tool is present in the first chunks. Default to False. + + Yields: + [`ChatCompletionStreamOutput`] chunks or [`ChatCompletionInputMessage`] objects + """ + # Prepare tools list based on options + tools = self.available_tools + if exit_loop_tools is not None: + tools = [*exit_loop_tools, *self.available_tools] + + # Create the streaming request + response = await self.client.chat.completions.create( + model=self.payload_model, + messages=messages, + tools=tools, + tool_choice="auto", + stream=True, + ) + + message: Dict[str, Any] = {"role": "unknown", "content": ""} + final_tool_calls: Dict[int, ChatCompletionStreamOutputDeltaToolCall] = {} + num_of_chunks = 0 + + # Read from stream + async for chunk in response: + num_of_chunks += 1 + delta = chunk.choices[0].delta if chunk.choices and len(chunk.choices) > 0 else None + if not delta: + continue + + # Process message + if delta.role: + message["role"] = delta.role + if delta.content: + message["content"] += delta.content + + # Process tool calls + if delta.tool_calls: + for tool_call in delta.tool_calls: + # Aggregate chunks into tool calls + if tool_call.index not in final_tool_calls: + if ( + tool_call.function.arguments is None or tool_call.function.arguments == "{}" + ): # Corner case (depends on provider) + tool_call.function.arguments = "" + final_tool_calls[tool_call.index] = tool_call + + elif tool_call.function.arguments: + final_tool_calls[tool_call.index].function.arguments += tool_call.function.arguments + + # Optionally exit early if no tools in first chunks + if exit_if_first_chunk_no_tool and num_of_chunks <= 2 and len(final_tool_calls) == 0: + return + + # Yield each chunk to caller + yield chunk + + # Add the assistant message with tool calls (if any) to messages + if message["content"] or final_tool_calls: + # if the role is unknown, set it to assistant + if message.get("role") == "unknown": + message["role"] = "assistant" + # Convert final_tool_calls to the format expected by OpenAI + if final_tool_calls: + tool_calls_list: List[Dict[str, Any]] = [] + for tc in final_tool_calls.values(): + tool_calls_list.append( + { + "id": tc.id, + "type": "function", + "function": { + "name": tc.function.name, + "arguments": tc.function.arguments or "{}", + }, + } + ) + message["tool_calls"] = tool_calls_list + messages.append(message) + + # Process tool calls one by one + for tool_call in final_tool_calls.values(): + function_name = tool_call.function.name + try: + function_args = json.loads(tool_call.function.arguments or "{}") + except json.JSONDecodeError as err: + tool_message = { + "role": "tool", + "tool_call_id": tool_call.id, + "name": function_name, + "content": f"Invalid JSON generated by the model: {err}", + } + tool_message_as_obj = ChatCompletionInputMessage.parse_obj_as_instance(tool_message) + messages.append(tool_message_as_obj) + yield tool_message_as_obj + continue # move to next tool call + + tool_message = {"role": "tool", "tool_call_id": tool_call.id, "content": "", "name": function_name} + + # Check if this is an exit loop tool + if exit_loop_tools and function_name in [t.function.name for t in exit_loop_tools]: + tool_message_as_obj = ChatCompletionInputMessage.parse_obj_as_instance(tool_message) + messages.append(tool_message_as_obj) + yield tool_message_as_obj + return + + # Execute tool call with the appropriate session + session = self.sessions.get(function_name) + if session is not None: + try: + result = await session.call_tool(function_name, function_args) + tool_message["content"] = format_result(result) + except Exception as err: + tool_message["content"] = f"Error: MCP tool call failed with error message: {err}" + else: + tool_message["content"] = f"Error: No session found for tool: {function_name}" + + # Yield tool message + tool_message_as_obj = ChatCompletionInputMessage.parse_obj_as_instance(tool_message) + messages.append(tool_message_as_obj) + yield tool_message_as_obj diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/types.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/types.py new file mode 100644 index 0000000000000000000000000000000000000000..cfb5e0eac91562fb42015e0a59d78bbb172d5bbe --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/types.py @@ -0,0 +1,42 @@ +from typing import Dict, List, Literal, TypedDict, Union + +from typing_extensions import NotRequired + + +class InputConfig(TypedDict, total=False): + id: str + description: str + type: str + password: bool + + +class StdioServerConfig(TypedDict): + type: Literal["stdio"] + command: str + args: List[str] + env: Dict[str, str] + cwd: str + + +class HTTPServerConfig(TypedDict): + type: Literal["http"] + url: str + headers: Dict[str, str] + + +class SSEServerConfig(TypedDict): + type: Literal["sse"] + url: str + headers: Dict[str, str] + + +ServerConfig = Union[StdioServerConfig, HTTPServerConfig, SSEServerConfig] + + +# AgentConfig root object +class AgentConfig(TypedDict): + model: str + provider: str + apiKey: NotRequired[str] + inputs: List[InputConfig] + servers: List[ServerConfig] diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/utils.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..6e75eef45fe2e1f3deb169acd9c1ca76d9a7e283 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_mcp/utils.py @@ -0,0 +1,124 @@ +""" +Utility functions for MCPClient and Tiny Agents. + +Formatting utilities taken from the JS SDK: https://github.com/huggingface/huggingface.js/blob/main/packages/mcp-client/src/ResultFormatter.ts. +""" + +import json +from pathlib import Path +from typing import TYPE_CHECKING, List, Optional, Tuple + +from huggingface_hub import snapshot_download +from huggingface_hub.errors import EntryNotFoundError + +from .constants import DEFAULT_AGENT, DEFAULT_REPO_ID, FILENAME_CONFIG, FILENAME_PROMPT +from .types import AgentConfig + + +if TYPE_CHECKING: + from mcp import types as mcp_types + + +def format_result(result: "mcp_types.CallToolResult") -> str: + """ + Formats a mcp.types.CallToolResult content into a human-readable string. + + Args: + result (CallToolResult) + Object returned by mcp.ClientSession.call_tool. + + Returns: + str + A formatted string representing the content of the result. + """ + content = result.content + + if len(content) == 0: + return "[No content]" + + formatted_parts: List[str] = [] + + for item in content: + if item.type == "text": + formatted_parts.append(item.text) + + elif item.type == "image": + formatted_parts.append( + f"[Binary Content: Image {item.mimeType}, {_get_base64_size(item.data)} bytes]\n" + f"The task is complete and the content accessible to the User" + ) + + elif item.type == "audio": + formatted_parts.append( + f"[Binary Content: Audio {item.mimeType}, {_get_base64_size(item.data)} bytes]\n" + f"The task is complete and the content accessible to the User" + ) + + elif item.type == "resource": + resource = item.resource + + if hasattr(resource, "text"): + formatted_parts.append(resource.text) + + elif hasattr(resource, "blob"): + formatted_parts.append( + f"[Binary Content ({resource.uri}): {resource.mimeType}, {_get_base64_size(resource.blob)} bytes]\n" + f"The task is complete and the content accessible to the User" + ) + + return "\n".join(formatted_parts) + + +def _get_base64_size(base64_str: str) -> int: + """Estimate the byte size of a base64-encoded string.""" + # Remove any prefix like "data:image/png;base64," + if "," in base64_str: + base64_str = base64_str.split(",")[1] + + padding = 0 + if base64_str.endswith("=="): + padding = 2 + elif base64_str.endswith("="): + padding = 1 + + return (len(base64_str) * 3) // 4 - padding + + +def _load_agent_config(agent_path: Optional[str]) -> Tuple[AgentConfig, Optional[str]]: + """Load server config and prompt.""" + + def _read_dir(directory: Path) -> Tuple[AgentConfig, Optional[str]]: + cfg_file = directory / FILENAME_CONFIG + if not cfg_file.exists(): + raise FileNotFoundError(f" Config file not found in {directory}! Please make sure it exists locally") + + config: AgentConfig = json.loads(cfg_file.read_text(encoding="utf-8")) + prompt_file = directory / FILENAME_PROMPT + prompt: Optional[str] = prompt_file.read_text(encoding="utf-8") if prompt_file.exists() else None + return config, prompt + + if agent_path is None: + return DEFAULT_AGENT, None # type: ignore[return-value] + + path = Path(agent_path).expanduser() + + if path.is_file(): + return json.loads(path.read_text(encoding="utf-8")), None + + if path.is_dir(): + return _read_dir(path) + + # fetch from the Hub + try: + repo_dir = Path( + snapshot_download( + repo_id=DEFAULT_REPO_ID, + allow_patterns=f"{agent_path}/*", + repo_type="dataset", + ) + ) + return _read_dir(repo_dir / agent_path) + except Exception as err: + raise EntryNotFoundError( + f" Agent {agent_path} not found in tiny-agents/tiny-agents! Please make sure it exists in https://huggingface.co/datasets/tiny-agents/tiny-agents." + ) from err diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..ec4866c30deab2e744f7e5105614cd9dc08caf7b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/__init__.py @@ -0,0 +1,210 @@ +from typing import Dict, Literal, Optional, Union + +from huggingface_hub.inference._providers.featherless_ai import ( + FeatherlessConversationalTask, + FeatherlessTextGenerationTask, +) +from huggingface_hub.utils import logging + +from ._common import TaskProviderHelper, _fetch_inference_provider_mapping +from .black_forest_labs import BlackForestLabsTextToImageTask +from .cerebras import CerebrasConversationalTask +from .cohere import CohereConversationalTask +from .fal_ai import ( + FalAIAutomaticSpeechRecognitionTask, + FalAIImageToImageTask, + FalAIImageToVideoTask, + FalAITextToImageTask, + FalAITextToSpeechTask, + FalAITextToVideoTask, +) +from .fireworks_ai import FireworksAIConversationalTask +from .groq import GroqConversationalTask +from .hf_inference import ( + HFInferenceBinaryInputTask, + HFInferenceConversational, + HFInferenceFeatureExtractionTask, + HFInferenceTask, +) +from .hyperbolic import HyperbolicTextGenerationTask, HyperbolicTextToImageTask +from .nebius import ( + NebiusConversationalTask, + NebiusFeatureExtractionTask, + NebiusTextGenerationTask, + NebiusTextToImageTask, +) +from .novita import NovitaConversationalTask, NovitaTextGenerationTask, NovitaTextToVideoTask +from .nscale import NscaleConversationalTask, NscaleTextToImageTask +from .openai import OpenAIConversationalTask +from .replicate import ReplicateImageToImageTask, ReplicateTask, ReplicateTextToImageTask, ReplicateTextToSpeechTask +from .sambanova import SambanovaConversationalTask, SambanovaFeatureExtractionTask +from .together import TogetherConversationalTask, TogetherTextGenerationTask, TogetherTextToImageTask + + +logger = logging.get_logger(__name__) + + +PROVIDER_T = Literal[ + "black-forest-labs", + "cerebras", + "cohere", + "fal-ai", + "featherless-ai", + "fireworks-ai", + "groq", + "hf-inference", + "hyperbolic", + "nebius", + "novita", + "nscale", + "openai", + "replicate", + "sambanova", + "together", +] + +PROVIDER_OR_POLICY_T = Union[PROVIDER_T, Literal["auto"]] + +PROVIDERS: Dict[PROVIDER_T, Dict[str, TaskProviderHelper]] = { + "black-forest-labs": { + "text-to-image": BlackForestLabsTextToImageTask(), + }, + "cerebras": { + "conversational": CerebrasConversationalTask(), + }, + "cohere": { + "conversational": CohereConversationalTask(), + }, + "fal-ai": { + "automatic-speech-recognition": FalAIAutomaticSpeechRecognitionTask(), + "text-to-image": FalAITextToImageTask(), + "text-to-speech": FalAITextToSpeechTask(), + "text-to-video": FalAITextToVideoTask(), + "image-to-video": FalAIImageToVideoTask(), + "image-to-image": FalAIImageToImageTask(), + }, + "featherless-ai": { + "conversational": FeatherlessConversationalTask(), + "text-generation": FeatherlessTextGenerationTask(), + }, + "fireworks-ai": { + "conversational": FireworksAIConversationalTask(), + }, + "groq": { + "conversational": GroqConversationalTask(), + }, + "hf-inference": { + "text-to-image": HFInferenceTask("text-to-image"), + "conversational": HFInferenceConversational(), + "text-generation": HFInferenceTask("text-generation"), + "text-classification": HFInferenceTask("text-classification"), + "question-answering": HFInferenceTask("question-answering"), + "audio-classification": HFInferenceBinaryInputTask("audio-classification"), + "automatic-speech-recognition": HFInferenceBinaryInputTask("automatic-speech-recognition"), + "fill-mask": HFInferenceTask("fill-mask"), + "feature-extraction": HFInferenceFeatureExtractionTask(), + "image-classification": HFInferenceBinaryInputTask("image-classification"), + "image-segmentation": HFInferenceBinaryInputTask("image-segmentation"), + "document-question-answering": HFInferenceTask("document-question-answering"), + "image-to-text": HFInferenceBinaryInputTask("image-to-text"), + "object-detection": HFInferenceBinaryInputTask("object-detection"), + "audio-to-audio": HFInferenceBinaryInputTask("audio-to-audio"), + "zero-shot-image-classification": HFInferenceBinaryInputTask("zero-shot-image-classification"), + "zero-shot-classification": HFInferenceTask("zero-shot-classification"), + "image-to-image": HFInferenceBinaryInputTask("image-to-image"), + "sentence-similarity": HFInferenceTask("sentence-similarity"), + "table-question-answering": HFInferenceTask("table-question-answering"), + "tabular-classification": HFInferenceTask("tabular-classification"), + "text-to-speech": HFInferenceTask("text-to-speech"), + "token-classification": HFInferenceTask("token-classification"), + "translation": HFInferenceTask("translation"), + "summarization": HFInferenceTask("summarization"), + "visual-question-answering": HFInferenceBinaryInputTask("visual-question-answering"), + }, + "hyperbolic": { + "text-to-image": HyperbolicTextToImageTask(), + "conversational": HyperbolicTextGenerationTask("conversational"), + "text-generation": HyperbolicTextGenerationTask("text-generation"), + }, + "nebius": { + "text-to-image": NebiusTextToImageTask(), + "conversational": NebiusConversationalTask(), + "text-generation": NebiusTextGenerationTask(), + "feature-extraction": NebiusFeatureExtractionTask(), + }, + "novita": { + "text-generation": NovitaTextGenerationTask(), + "conversational": NovitaConversationalTask(), + "text-to-video": NovitaTextToVideoTask(), + }, + "nscale": { + "conversational": NscaleConversationalTask(), + "text-to-image": NscaleTextToImageTask(), + }, + "openai": { + "conversational": OpenAIConversationalTask(), + }, + "replicate": { + "image-to-image": ReplicateImageToImageTask(), + "text-to-image": ReplicateTextToImageTask(), + "text-to-speech": ReplicateTextToSpeechTask(), + "text-to-video": ReplicateTask("text-to-video"), + }, + "sambanova": { + "conversational": SambanovaConversationalTask(), + "feature-extraction": SambanovaFeatureExtractionTask(), + }, + "together": { + "text-to-image": TogetherTextToImageTask(), + "conversational": TogetherConversationalTask(), + "text-generation": TogetherTextGenerationTask(), + }, +} + + +def get_provider_helper( + provider: Optional[PROVIDER_OR_POLICY_T], task: str, model: Optional[str] +) -> TaskProviderHelper: + """Get provider helper instance by name and task. + + Args: + provider (`str`, *optional*): name of the provider, or "auto" to automatically select the provider for the model. + task (`str`): Name of the task + model (`str`, *optional*): Name of the model + Returns: + TaskProviderHelper: Helper instance for the specified provider and task + + Raises: + ValueError: If provider or task is not supported + """ + + if (model is None and provider in (None, "auto")) or ( + model is not None and model.startswith(("http://", "https://")) + ): + provider = "hf-inference" + + if provider is None: + logger.info( + "Defaulting to 'auto' which will select the first provider available for the model, sorted by the user's order in https://hf.co/settings/inference-providers." + ) + provider = "auto" + + if provider == "auto": + if model is None: + raise ValueError("Specifying a model is required when provider is 'auto'") + provider_mapping = _fetch_inference_provider_mapping(model) + provider = next(iter(provider_mapping)).provider + + provider_tasks = PROVIDERS.get(provider) # type: ignore + if provider_tasks is None: + raise ValueError( + f"Provider '{provider}' not supported. Available values: 'auto' or any provider from {list(PROVIDERS.keys())}." + "Passing 'auto' (default value) will automatically select the first provider available for the model, sorted " + "by the user's order in https://hf.co/settings/inference-providers." + ) + + if task not in provider_tasks: + raise ValueError( + f"Task '{task}' not supported for provider '{provider}'. Available tasks: {list(provider_tasks.keys())}" + ) + return provider_tasks[task] diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..917e87f683589ee99228fca476d7fd1527750d43 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/__pycache__/_common.cpython-312.pyc 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huggingface_hub.inference._generated.types.chat_completion import ChatCompletionInputMessage +from huggingface_hub.utils import build_hf_headers, get_token, logging + + +logger = logging.get_logger(__name__) + + +# Dev purposes only. +# If you want to try to run inference for a new model locally before it's registered on huggingface.co +# for a given Inference Provider, you can add it to the following dictionary. +HARDCODED_MODEL_INFERENCE_MAPPING: Dict[str, Dict[str, InferenceProviderMapping]] = { + # "HF model ID" => InferenceProviderMapping object initialized with "Model ID on Inference Provider's side" + # + # Example: + # "Qwen/Qwen2.5-Coder-32B-Instruct": InferenceProviderMapping(hf_model_id="Qwen/Qwen2.5-Coder-32B-Instruct", + # provider_id="Qwen2.5-Coder-32B-Instruct", + # task="conversational", + # status="live") + "cerebras": {}, + "cohere": {}, + "fal-ai": {}, + "fireworks-ai": {}, + "groq": {}, + "hf-inference": {}, + "hyperbolic": {}, + "nebius": {}, + "nscale": {}, + "replicate": {}, + "sambanova": {}, + "together": {}, +} + + +@overload +def filter_none(obj: Dict[str, Any]) -> Dict[str, Any]: ... +@overload +def filter_none(obj: List[Any]) -> List[Any]: ... + + +def filter_none(obj: Union[Dict[str, Any], List[Any]]) -> Union[Dict[str, Any], List[Any]]: + if isinstance(obj, dict): + cleaned: Dict[str, Any] = {} + for k, v in obj.items(): + if v is None: + continue + if isinstance(v, (dict, list)): + v = filter_none(v) + cleaned[k] = v + return cleaned + + if isinstance(obj, list): + return [filter_none(v) if isinstance(v, (dict, list)) else v for v in obj] + + raise ValueError(f"Expected dict or list, got {type(obj)}") + + +class TaskProviderHelper: + """Base class for task-specific provider helpers.""" + + def __init__(self, provider: str, base_url: str, task: str) -> None: + self.provider = provider + self.task = task + self.base_url = base_url + + def prepare_request( + self, + *, + inputs: Any, + parameters: Dict[str, Any], + headers: Dict, + model: Optional[str], + api_key: Optional[str], + extra_payload: Optional[Dict[str, Any]] = None, + ) -> RequestParameters: + """ + Prepare the request to be sent to the provider. + + Each step (api_key, model, headers, url, payload) can be customized in subclasses. + """ + # api_key from user, or local token, or raise error + api_key = self._prepare_api_key(api_key) + + # mapped model from HF model ID + provider_mapping_info = self._prepare_mapping_info(model) + + # default HF headers + user headers (to customize in subclasses) + headers = self._prepare_headers(headers, api_key) + + # routed URL if HF token, or direct URL (to customize in '_prepare_route' in subclasses) + url = self._prepare_url(api_key, provider_mapping_info.provider_id) + + # prepare payload (to customize in subclasses) + payload = self._prepare_payload_as_dict(inputs, parameters, provider_mapping_info=provider_mapping_info) + if payload is not None: + payload = recursive_merge(payload, filter_none(extra_payload or {})) + + # body data (to customize in subclasses) + data = self._prepare_payload_as_bytes(inputs, parameters, provider_mapping_info, extra_payload) + + # check if both payload and data are set and return + if payload is not None and data is not None: + raise ValueError("Both payload and data cannot be set in the same request.") + if payload is None and data is None: + raise ValueError("Either payload or data must be set in the request.") + return RequestParameters( + url=url, task=self.task, model=provider_mapping_info.provider_id, json=payload, data=data, headers=headers + ) + + def get_response( + self, + response: Union[bytes, Dict], + request_params: Optional[RequestParameters] = None, + ) -> Any: + """ + Return the response in the expected format. + + Override this method in subclasses for customized response handling.""" + return response + + def _prepare_api_key(self, api_key: Optional[str]) -> str: + """Return the API key to use for the request. + + Usually not overwritten in subclasses.""" + if api_key is None: + api_key = get_token() + if api_key is None: + raise ValueError( + f"You must provide an api_key to work with {self.provider} API or log in with `hf auth login`." + ) + return api_key + + def _prepare_mapping_info(self, model: Optional[str]) -> InferenceProviderMapping: + """Return the mapped model ID to use for the request. + + Usually not overwritten in subclasses.""" + if model is None: + raise ValueError(f"Please provide an HF model ID supported by {self.provider}.") + + # hardcoded mapping for local testing + if HARDCODED_MODEL_INFERENCE_MAPPING.get(self.provider, {}).get(model): + return HARDCODED_MODEL_INFERENCE_MAPPING[self.provider][model] + + provider_mapping = None + for mapping in _fetch_inference_provider_mapping(model): + if mapping.provider == self.provider: + provider_mapping = mapping + break + + if provider_mapping is None: + raise ValueError(f"Model {model} is not supported by provider {self.provider}.") + + if provider_mapping.task != self.task: + raise ValueError( + f"Model {model} is not supported for task {self.task} and provider {self.provider}. " + f"Supported task: {provider_mapping.task}." + ) + + if provider_mapping.status == "staging": + logger.warning( + f"Model {model} is in staging mode for provider {self.provider}. Meant for test purposes only." + ) + if provider_mapping.status == "error": + logger.warning( + f"Our latest automated health check on model '{model}' for provider '{self.provider}' did not complete successfully. " + "Inference call might fail." + ) + return provider_mapping + + def _prepare_headers(self, headers: Dict, api_key: str) -> Dict: + """Return the headers to use for the request. + + Override this method in subclasses for customized headers. + """ + return {**build_hf_headers(token=api_key), **headers} + + def _prepare_url(self, api_key: str, mapped_model: str) -> str: + """Return the URL to use for the request. + + Usually not overwritten in subclasses.""" + base_url = self._prepare_base_url(api_key) + route = self._prepare_route(mapped_model, api_key) + return f"{base_url.rstrip('/')}/{route.lstrip('/')}" + + def _prepare_base_url(self, api_key: str) -> str: + """Return the base URL to use for the request. + + Usually not overwritten in subclasses.""" + # Route to the proxy if the api_key is a HF TOKEN + if api_key.startswith("hf_"): + logger.info(f"Calling '{self.provider}' provider through Hugging Face router.") + return constants.INFERENCE_PROXY_TEMPLATE.format(provider=self.provider) + else: + logger.info(f"Calling '{self.provider}' provider directly.") + return self.base_url + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + """Return the route to use for the request. + + Override this method in subclasses for customized routes. + """ + return "" + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + """Return the payload to use for the request, as a dict. + + Override this method in subclasses for customized payloads. + Only one of `_prepare_payload_as_dict` and `_prepare_payload_as_bytes` should return a value. + """ + return None + + def _prepare_payload_as_bytes( + self, + inputs: Any, + parameters: Dict, + provider_mapping_info: InferenceProviderMapping, + extra_payload: Optional[Dict], + ) -> Optional[bytes]: + """Return the body to use for the request, as bytes. + + Override this method in subclasses for customized body data. + Only one of `_prepare_payload_as_dict` and `_prepare_payload_as_bytes` should return a value. + """ + return None + + +class BaseConversationalTask(TaskProviderHelper): + """ + Base class for conversational (chat completion) tasks. + The schema follows the OpenAI API format defined here: https://platform.openai.com/docs/api-reference/chat + """ + + def __init__(self, provider: str, base_url: str): + super().__init__(provider=provider, base_url=base_url, task="conversational") + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + return "/v1/chat/completions" + + def _prepare_payload_as_dict( + self, + inputs: List[Union[Dict, ChatCompletionInputMessage]], + parameters: Dict, + provider_mapping_info: InferenceProviderMapping, + ) -> Optional[Dict]: + return filter_none({"messages": inputs, **parameters, "model": provider_mapping_info.provider_id}) + + +class BaseTextGenerationTask(TaskProviderHelper): + """ + Base class for text-generation (completion) tasks. + The schema follows the OpenAI API format defined here: https://platform.openai.com/docs/api-reference/completions + """ + + def __init__(self, provider: str, base_url: str): + super().__init__(provider=provider, base_url=base_url, task="text-generation") + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + return "/v1/completions" + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + return filter_none({"prompt": inputs, **parameters, "model": provider_mapping_info.provider_id}) + + +@lru_cache(maxsize=None) +def _fetch_inference_provider_mapping(model: str) -> List["InferenceProviderMapping"]: + """ + Fetch provider mappings for a model from the Hub. + """ + from huggingface_hub.hf_api import HfApi + + info = HfApi().model_info(model, expand=["inferenceProviderMapping"]) + provider_mapping = info.inference_provider_mapping + if provider_mapping is None: + raise ValueError(f"No provider mapping found for model {model}") + return provider_mapping + + +def recursive_merge(dict1: Dict, dict2: Dict) -> Dict: + return { + **dict1, + **{ + key: recursive_merge(dict1[key], value) + if (key in dict1 and isinstance(dict1[key], dict) and isinstance(value, dict)) + else value + for key, value in dict2.items() + }, + } diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/black_forest_labs.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/black_forest_labs.py new file mode 100644 index 0000000000000000000000000000000000000000..afa8ed281d8a8e94a054b83b74ec6909f623e300 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/black_forest_labs.py @@ -0,0 +1,69 @@ +import time +from typing import Any, Dict, Optional, Union + +from huggingface_hub.hf_api import InferenceProviderMapping +from huggingface_hub.inference._common import RequestParameters, _as_dict +from huggingface_hub.inference._providers._common import TaskProviderHelper, filter_none +from huggingface_hub.utils import logging +from huggingface_hub.utils._http import get_session + + +logger = logging.get_logger(__name__) + +MAX_POLLING_ATTEMPTS = 6 +POLLING_INTERVAL = 1.0 + + +class BlackForestLabsTextToImageTask(TaskProviderHelper): + def __init__(self): + super().__init__(provider="black-forest-labs", base_url="https://api.us1.bfl.ai", task="text-to-image") + + def _prepare_headers(self, headers: Dict, api_key: str) -> Dict: + headers = super()._prepare_headers(headers, api_key) + if not api_key.startswith("hf_"): + _ = headers.pop("authorization") + headers["X-Key"] = api_key + return headers + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + return f"/v1/{mapped_model}" + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + parameters = filter_none(parameters) + if "num_inference_steps" in parameters: + parameters["steps"] = parameters.pop("num_inference_steps") + if "guidance_scale" in parameters: + parameters["guidance"] = parameters.pop("guidance_scale") + + return {"prompt": inputs, **parameters} + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + """ + Polling mechanism for Black Forest Labs since the API is asynchronous. + """ + url = _as_dict(response).get("polling_url") + session = get_session() + for _ in range(MAX_POLLING_ATTEMPTS): + time.sleep(POLLING_INTERVAL) + + response = session.get(url, headers={"Content-Type": "application/json"}) # type: ignore + response.raise_for_status() # type: ignore + response_json: Dict = response.json() # type: ignore + status = response_json.get("status") + logger.info( + f"Polling generation result from {url}. Current status: {status}. " + f"Will retry after {POLLING_INTERVAL} seconds if not ready." + ) + + if ( + status == "Ready" + and isinstance(response_json.get("result"), dict) + and (sample_url := response_json["result"].get("sample")) + ): + image_resp = session.get(sample_url) + image_resp.raise_for_status() + return image_resp.content + + raise TimeoutError(f"Failed to get the image URL after {MAX_POLLING_ATTEMPTS} attempts.") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/cerebras.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/cerebras.py new file mode 100644 index 0000000000000000000000000000000000000000..a9b9c3aacb3e134a8e755297c15ece198ffe633d --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/cerebras.py @@ -0,0 +1,6 @@ +from ._common import BaseConversationalTask + + +class CerebrasConversationalTask(BaseConversationalTask): + def __init__(self): + super().__init__(provider="cerebras", base_url="https://api.cerebras.ai") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/cohere.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/cohere.py new file mode 100644 index 0000000000000000000000000000000000000000..a5e9191caec50b0e659dddceba3e817a4ac28307 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/cohere.py @@ -0,0 +1,32 @@ +from typing import Any, Dict, Optional + +from huggingface_hub.hf_api import InferenceProviderMapping + +from ._common import BaseConversationalTask + + +_PROVIDER = "cohere" +_BASE_URL = "https://api.cohere.com" + + +class CohereConversationalTask(BaseConversationalTask): + def __init__(self): + super().__init__(provider=_PROVIDER, base_url=_BASE_URL) + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + return "/compatibility/v1/chat/completions" + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + payload = super()._prepare_payload_as_dict(inputs, parameters, provider_mapping_info) + response_format = parameters.get("response_format") + if isinstance(response_format, dict) and response_format.get("type") == "json_schema": + json_schema_details = response_format.get("json_schema") + if isinstance(json_schema_details, dict) and "schema" in json_schema_details: + payload["response_format"] = { # type: ignore [index] + "type": "json_object", + "schema": json_schema_details["schema"], + } + + return payload diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/fal_ai.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/fal_ai.py new file mode 100644 index 0000000000000000000000000000000000000000..6a7b7a5779ecdd691637fd6f755c6bf7786fc39e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/fal_ai.py @@ -0,0 +1,246 @@ +import base64 +import time +from abc import ABC +from typing import Any, Dict, Optional, Union +from urllib.parse import urlparse + +from huggingface_hub import constants +from huggingface_hub.hf_api import InferenceProviderMapping +from huggingface_hub.inference._common import RequestParameters, _as_dict, _as_url +from huggingface_hub.inference._providers._common import TaskProviderHelper, filter_none +from huggingface_hub.utils import get_session, hf_raise_for_status +from huggingface_hub.utils.logging import get_logger + + +logger = get_logger(__name__) + +# Arbitrary polling interval +_POLLING_INTERVAL = 0.5 + + +class FalAITask(TaskProviderHelper, ABC): + def __init__(self, task: str): + super().__init__(provider="fal-ai", base_url="https://fal.run", task=task) + + def _prepare_headers(self, headers: Dict, api_key: str) -> Dict: + headers = super()._prepare_headers(headers, api_key) + if not api_key.startswith("hf_"): + headers["authorization"] = f"Key {api_key}" + return headers + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + return f"/{mapped_model}" + + +class FalAIQueueTask(TaskProviderHelper, ABC): + def __init__(self, task: str): + super().__init__(provider="fal-ai", base_url="https://queue.fal.run", task=task) + + def _prepare_headers(self, headers: Dict, api_key: str) -> Dict: + headers = super()._prepare_headers(headers, api_key) + if not api_key.startswith("hf_"): + headers["authorization"] = f"Key {api_key}" + return headers + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + if api_key.startswith("hf_"): + # Use the queue subdomain for HF routing + return f"/{mapped_model}?_subdomain=queue" + return f"/{mapped_model}" + + def get_response( + self, + response: Union[bytes, Dict], + request_params: Optional[RequestParameters] = None, + ) -> Any: + response_dict = _as_dict(response) + + request_id = response_dict.get("request_id") + if not request_id: + raise ValueError("No request ID found in the response") + if request_params is None: + raise ValueError( + f"A `RequestParameters` object should be provided to get {self.task} responses with Fal AI." + ) + + # extract the base url and query params + parsed_url = urlparse(request_params.url) + # a bit hacky way to concatenate the provider name without parsing `parsed_url.path` + base_url = f"{parsed_url.scheme}://{parsed_url.netloc}{'/fal-ai' if parsed_url.netloc == 'router.huggingface.co' else ''}" + query_param = f"?{parsed_url.query}" if parsed_url.query else "" + + # extracting the provider model id for status and result urls + # from the response as it might be different from the mapped model in `request_params.url` + model_id = urlparse(response_dict.get("response_url")).path + status_url = f"{base_url}{str(model_id)}/status{query_param}" + result_url = f"{base_url}{str(model_id)}{query_param}" + + status = response_dict.get("status") + logger.info("Generating the output.. this can take several minutes.") + while status != "COMPLETED": + time.sleep(_POLLING_INTERVAL) + status_response = get_session().get(status_url, headers=request_params.headers) + hf_raise_for_status(status_response) + status = status_response.json().get("status") + + return get_session().get(result_url, headers=request_params.headers).json() + + +class FalAIAutomaticSpeechRecognitionTask(FalAITask): + def __init__(self): + super().__init__("automatic-speech-recognition") + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + if isinstance(inputs, str) and inputs.startswith(("http://", "https://")): + # If input is a URL, pass it directly + audio_url = inputs + else: + # If input is a file path, read it first + if isinstance(inputs, str): + with open(inputs, "rb") as f: + inputs = f.read() + + audio_b64 = base64.b64encode(inputs).decode() + content_type = "audio/mpeg" + audio_url = f"data:{content_type};base64,{audio_b64}" + + return {"audio_url": audio_url, **filter_none(parameters)} + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + text = _as_dict(response)["text"] + if not isinstance(text, str): + raise ValueError(f"Unexpected output format from FalAI API. Expected string, got {type(text)}.") + return text + + +class FalAITextToImageTask(FalAITask): + def __init__(self): + super().__init__("text-to-image") + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + payload: Dict[str, Any] = { + "prompt": inputs, + **filter_none(parameters), + } + if "width" in payload and "height" in payload: + payload["image_size"] = { + "width": payload.pop("width"), + "height": payload.pop("height"), + } + if provider_mapping_info.adapter_weights_path is not None: + lora_path = constants.HUGGINGFACE_CO_URL_TEMPLATE.format( + repo_id=provider_mapping_info.hf_model_id, + revision="main", + filename=provider_mapping_info.adapter_weights_path, + ) + payload["loras"] = [{"path": lora_path, "scale": 1}] + if provider_mapping_info.provider_id == "fal-ai/lora": + # little hack: fal requires the base model for stable-diffusion-based loras but not for flux-based + # See payloads in https://fal.ai/models/fal-ai/lora/api vs https://fal.ai/models/fal-ai/flux-lora/api + payload["model_name"] = "stabilityai/stable-diffusion-xl-base-1.0" + + return payload + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + url = _as_dict(response)["images"][0]["url"] + return get_session().get(url).content + + +class FalAITextToSpeechTask(FalAITask): + def __init__(self): + super().__init__("text-to-speech") + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + return {"text": inputs, **filter_none(parameters)} + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + url = _as_dict(response)["audio"]["url"] + return get_session().get(url).content + + +class FalAITextToVideoTask(FalAIQueueTask): + def __init__(self): + super().__init__("text-to-video") + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + return {"prompt": inputs, **filter_none(parameters)} + + def get_response( + self, + response: Union[bytes, Dict], + request_params: Optional[RequestParameters] = None, + ) -> Any: + output = super().get_response(response, request_params) + url = _as_dict(output)["video"]["url"] + return get_session().get(url).content + + +class FalAIImageToImageTask(FalAIQueueTask): + def __init__(self): + super().__init__("image-to-image") + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + image_url = _as_url(inputs, default_mime_type="image/jpeg") + payload: Dict[str, Any] = { + "image_url": image_url, + **filter_none(parameters), + } + if provider_mapping_info.adapter_weights_path is not None: + lora_path = constants.HUGGINGFACE_CO_URL_TEMPLATE.format( + repo_id=provider_mapping_info.hf_model_id, + revision="main", + filename=provider_mapping_info.adapter_weights_path, + ) + payload["loras"] = [{"path": lora_path, "scale": 1}] + + return payload + + def get_response( + self, + response: Union[bytes, Dict], + request_params: Optional[RequestParameters] = None, + ) -> Any: + output = super().get_response(response, request_params) + url = _as_dict(output)["images"][0]["url"] + return get_session().get(url).content + + +class FalAIImageToVideoTask(FalAIQueueTask): + def __init__(self): + super().__init__("image-to-video") + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + image_url = _as_url(inputs, default_mime_type="image/jpeg") + payload: Dict[str, Any] = { + "image_url": image_url, + **filter_none(parameters), + } + if provider_mapping_info.adapter_weights_path is not None: + lora_path = constants.HUGGINGFACE_CO_URL_TEMPLATE.format( + repo_id=provider_mapping_info.hf_model_id, + revision="main", + filename=provider_mapping_info.adapter_weights_path, + ) + payload["loras"] = [{"path": lora_path, "scale": 1}] + return payload + + def get_response( + self, + response: Union[bytes, Dict], + request_params: Optional[RequestParameters] = None, + ) -> Any: + output = super().get_response(response, request_params) + url = _as_dict(output)["video"]["url"] + return get_session().get(url).content diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/featherless_ai.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/featherless_ai.py new file mode 100644 index 0000000000000000000000000000000000000000..6ad1c48134f5c990b6ac4fca5ff919f4cc0d2373 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/featherless_ai.py @@ -0,0 +1,38 @@ +from typing import Any, Dict, Optional, Union + +from huggingface_hub.hf_api import InferenceProviderMapping +from huggingface_hub.inference._common import RequestParameters, _as_dict + +from ._common import BaseConversationalTask, BaseTextGenerationTask, filter_none + + +_PROVIDER = "featherless-ai" +_BASE_URL = "https://api.featherless.ai" + + +class FeatherlessTextGenerationTask(BaseTextGenerationTask): + def __init__(self): + super().__init__(provider=_PROVIDER, base_url=_BASE_URL) + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + params = filter_none(parameters.copy()) + params["max_tokens"] = params.pop("max_new_tokens", None) + + return {"prompt": inputs, **params, "model": provider_mapping_info.provider_id} + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + output = _as_dict(response)["choices"][0] + return { + "generated_text": output["text"], + "details": { + "finish_reason": output.get("finish_reason"), + "seed": output.get("seed"), + }, + } + + +class FeatherlessConversationalTask(BaseConversationalTask): + def __init__(self): + super().__init__(provider=_PROVIDER, base_url=_BASE_URL) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/fireworks_ai.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/fireworks_ai.py new file mode 100644 index 0000000000000000000000000000000000000000..b4cc19a5700047f6516b2784d9785a99d7e32451 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/fireworks_ai.py @@ -0,0 +1,27 @@ +from typing import Any, Dict, Optional + +from huggingface_hub.hf_api import InferenceProviderMapping + +from ._common import BaseConversationalTask + + +class FireworksAIConversationalTask(BaseConversationalTask): + def __init__(self): + super().__init__(provider="fireworks-ai", base_url="https://api.fireworks.ai") + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + return "/inference/v1/chat/completions" + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + payload = super()._prepare_payload_as_dict(inputs, parameters, provider_mapping_info) + response_format = parameters.get("response_format") + if isinstance(response_format, dict) and response_format.get("type") == "json_schema": + json_schema_details = response_format.get("json_schema") + if isinstance(json_schema_details, dict) and "schema" in json_schema_details: + payload["response_format"] = { # type: ignore [index] + "type": "json_object", + "schema": json_schema_details["schema"], + } + return payload diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/groq.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/groq.py new file mode 100644 index 0000000000000000000000000000000000000000..11e677504e89bc02b966e7d37d9e11f1b94b297f --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/groq.py @@ -0,0 +1,9 @@ +from ._common import BaseConversationalTask + + +class GroqConversationalTask(BaseConversationalTask): + def __init__(self): + super().__init__(provider="groq", base_url="https://api.groq.com") + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + return "/openai/v1/chat/completions" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/hf_inference.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/hf_inference.py new file mode 100644 index 0000000000000000000000000000000000000000..a5659eea7ba33e87b75eb8c6ef215dfe6320caab --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/hf_inference.py @@ -0,0 +1,220 @@ +import json +from functools import lru_cache +from pathlib import Path +from typing import Any, Dict, Optional, Union +from urllib.parse import urlparse, urlunparse + +from huggingface_hub import constants +from huggingface_hub.hf_api import InferenceProviderMapping +from huggingface_hub.inference._common import RequestParameters, _b64_encode, _bytes_to_dict, _open_as_binary +from huggingface_hub.inference._providers._common import TaskProviderHelper, filter_none +from huggingface_hub.utils import build_hf_headers, get_session, get_token, hf_raise_for_status + + +class HFInferenceTask(TaskProviderHelper): + """Base class for HF Inference API tasks.""" + + def __init__(self, task: str): + super().__init__( + provider="hf-inference", + base_url=constants.INFERENCE_PROXY_TEMPLATE.format(provider="hf-inference"), + task=task, + ) + + def _prepare_api_key(self, api_key: Optional[str]) -> str: + # special case: for HF Inference we allow not providing an API key + return api_key or get_token() # type: ignore[return-value] + + def _prepare_mapping_info(self, model: Optional[str]) -> InferenceProviderMapping: + if model is not None and model.startswith(("http://", "https://")): + return InferenceProviderMapping( + provider="hf-inference", providerId=model, hf_model_id=model, task=self.task, status="live" + ) + model_id = model if model is not None else _fetch_recommended_models().get(self.task) + if model_id is None: + raise ValueError( + f"Task {self.task} has no recommended model for HF Inference. Please specify a model" + " explicitly. Visit https://huggingface.co/tasks for more info." + ) + _check_supported_task(model_id, self.task) + return InferenceProviderMapping( + provider="hf-inference", providerId=model_id, hf_model_id=model_id, task=self.task, status="live" + ) + + def _prepare_url(self, api_key: str, mapped_model: str) -> str: + # hf-inference provider can handle URLs (e.g. Inference Endpoints or TGI deployment) + if mapped_model.startswith(("http://", "https://")): + return mapped_model + return ( + # Feature-extraction and sentence-similarity are the only cases where we handle models with several tasks. + f"{self.base_url}/models/{mapped_model}/pipeline/{self.task}" + if self.task in ("feature-extraction", "sentence-similarity") + # Otherwise, we use the default endpoint + else f"{self.base_url}/models/{mapped_model}" + ) + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + if isinstance(inputs, bytes): + raise ValueError(f"Unexpected binary input for task {self.task}.") + if isinstance(inputs, Path): + raise ValueError(f"Unexpected path input for task {self.task} (got {inputs})") + return filter_none({"inputs": inputs, "parameters": parameters}) + + +class HFInferenceBinaryInputTask(HFInferenceTask): + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + return None + + def _prepare_payload_as_bytes( + self, + inputs: Any, + parameters: Dict, + provider_mapping_info: InferenceProviderMapping, + extra_payload: Optional[Dict], + ) -> Optional[bytes]: + parameters = filter_none(parameters) + extra_payload = extra_payload or {} + has_parameters = len(parameters) > 0 or len(extra_payload) > 0 + + # Raise if not a binary object or a local path or a URL. + if not isinstance(inputs, (bytes, Path)) and not isinstance(inputs, str): + raise ValueError(f"Expected binary inputs or a local path or a URL. Got {inputs}") + + # Send inputs as raw content when no parameters are provided + if not has_parameters: + with _open_as_binary(inputs) as data: + data_as_bytes = data if isinstance(data, bytes) else data.read() + return data_as_bytes + + # Otherwise encode as b64 + return json.dumps({"inputs": _b64_encode(inputs), "parameters": parameters, **extra_payload}).encode("utf-8") + + +class HFInferenceConversational(HFInferenceTask): + def __init__(self): + super().__init__("conversational") + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + payload = filter_none(parameters) + mapped_model = provider_mapping_info.provider_id + payload_model = parameters.get("model") or mapped_model + + if payload_model is None or payload_model.startswith(("http://", "https://")): + payload_model = "dummy" + + response_format = parameters.get("response_format") + if isinstance(response_format, dict) and response_format.get("type") == "json_schema": + payload["response_format"] = { + "type": "json_object", + "value": response_format["json_schema"]["schema"], + } + return {**payload, "model": payload_model, "messages": inputs} + + def _prepare_url(self, api_key: str, mapped_model: str) -> str: + base_url = ( + mapped_model + if mapped_model.startswith(("http://", "https://")) + else f"{constants.INFERENCE_PROXY_TEMPLATE.format(provider='hf-inference')}/models/{mapped_model}" + ) + return _build_chat_completion_url(base_url) + + +def _build_chat_completion_url(model_url: str) -> str: + parsed = urlparse(model_url) + path = parsed.path.rstrip("/") + + # If the path already ends with /chat/completions, we're done! + if path.endswith("/chat/completions"): + return model_url + + # Append /chat/completions if not already present + if path.endswith("/v1"): + new_path = path + "/chat/completions" + # If path was empty or just "/", set the full path + elif not path: + new_path = "/v1/chat/completions" + # Append /v1/chat/completions if not already present + else: + new_path = path + "/v1/chat/completions" + + # Reconstruct the URL with the new path and original query parameters. + return urlunparse(parsed._replace(path=new_path)) + + +@lru_cache(maxsize=1) +def _fetch_recommended_models() -> Dict[str, Optional[str]]: + response = get_session().get(f"{constants.ENDPOINT}/api/tasks", headers=build_hf_headers()) + hf_raise_for_status(response) + return {task: next(iter(details["widgetModels"]), None) for task, details in response.json().items()} + + +@lru_cache(maxsize=None) +def _check_supported_task(model: str, task: str) -> None: + from huggingface_hub.hf_api import HfApi + + model_info = HfApi().model_info(model) + pipeline_tag = model_info.pipeline_tag + tags = model_info.tags or [] + is_conversational = "conversational" in tags + if task in ("text-generation", "conversational"): + if pipeline_tag == "text-generation": + # text-generation + conversational tag -> both tasks allowed + if is_conversational: + return + # text-generation without conversational tag -> only text-generation allowed + if task == "text-generation": + return + raise ValueError(f"Model '{model}' doesn't support task '{task}'.") + + if pipeline_tag == "text2text-generation": + if task == "text-generation": + return + raise ValueError(f"Model '{model}' doesn't support task '{task}'.") + + if pipeline_tag == "image-text-to-text": + if is_conversational and task == "conversational": + return # Only conversational allowed if tagged as conversational + raise ValueError("Non-conversational image-text-to-text task is not supported.") + + if ( + task in ("feature-extraction", "sentence-similarity") + and pipeline_tag in ("feature-extraction", "sentence-similarity") + and task in tags + ): + # feature-extraction and sentence-similarity are interchangeable for HF Inference + return + + # For all other tasks, just check pipeline tag + if pipeline_tag != task: + raise ValueError( + f"Model '{model}' doesn't support task '{task}'. Supported tasks: '{pipeline_tag}', got: '{task}'" + ) + return + + +class HFInferenceFeatureExtractionTask(HFInferenceTask): + def __init__(self): + super().__init__("feature-extraction") + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + if isinstance(inputs, bytes): + raise ValueError(f"Unexpected binary input for task {self.task}.") + if isinstance(inputs, Path): + raise ValueError(f"Unexpected path input for task {self.task} (got {inputs})") + + # Parameters are sent at root-level for feature-extraction task + # See specs: https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/src/tasks/feature-extraction/spec/input.json + return {"inputs": inputs, **filter_none(parameters)} + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + if isinstance(response, bytes): + return _bytes_to_dict(response) + return response diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/hyperbolic.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/hyperbolic.py new file mode 100644 index 0000000000000000000000000000000000000000..6dcb14cc275f6b80db5643361b9dfd3cbf8d91a2 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/hyperbolic.py @@ -0,0 +1,47 @@ +import base64 +from typing import Any, Dict, Optional, Union + +from huggingface_hub.hf_api import InferenceProviderMapping +from huggingface_hub.inference._common import RequestParameters, _as_dict +from huggingface_hub.inference._providers._common import BaseConversationalTask, TaskProviderHelper, filter_none + + +class HyperbolicTextToImageTask(TaskProviderHelper): + def __init__(self): + super().__init__(provider="hyperbolic", base_url="https://api.hyperbolic.xyz", task="text-to-image") + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + return "/v1/images/generations" + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + mapped_model = provider_mapping_info.provider_id + parameters = filter_none(parameters) + if "num_inference_steps" in parameters: + parameters["steps"] = parameters.pop("num_inference_steps") + if "guidance_scale" in parameters: + parameters["cfg_scale"] = parameters.pop("guidance_scale") + # For Hyperbolic, the width and height are required parameters + if "width" not in parameters: + parameters["width"] = 512 + if "height" not in parameters: + parameters["height"] = 512 + return {"prompt": inputs, "model_name": mapped_model, **parameters} + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + response_dict = _as_dict(response) + return base64.b64decode(response_dict["images"][0]["image"]) + + +class HyperbolicTextGenerationTask(BaseConversationalTask): + """ + Special case for Hyperbolic, where text-generation task is handled as a conversational task. + """ + + def __init__(self, task: str): + super().__init__( + provider="hyperbolic", + base_url="https://api.hyperbolic.xyz", + ) + self.task = task diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/nebius.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/nebius.py new file mode 100644 index 0000000000000000000000000000000000000000..85ad67c4c8835d7fb8bfe5f36e426614174a66ba --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/nebius.py @@ -0,0 +1,83 @@ +import base64 +from typing import Any, Dict, Optional, Union + +from huggingface_hub.hf_api import InferenceProviderMapping +from huggingface_hub.inference._common import RequestParameters, _as_dict +from huggingface_hub.inference._providers._common import ( + BaseConversationalTask, + BaseTextGenerationTask, + TaskProviderHelper, + filter_none, +) + + +class NebiusTextGenerationTask(BaseTextGenerationTask): + def __init__(self): + super().__init__(provider="nebius", base_url="https://api.studio.nebius.ai") + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + output = _as_dict(response)["choices"][0] + return { + "generated_text": output["text"], + "details": { + "finish_reason": output.get("finish_reason"), + "seed": output.get("seed"), + }, + } + + +class NebiusConversationalTask(BaseConversationalTask): + def __init__(self): + super().__init__(provider="nebius", base_url="https://api.studio.nebius.ai") + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + payload = super()._prepare_payload_as_dict(inputs, parameters, provider_mapping_info) + response_format = parameters.get("response_format") + if isinstance(response_format, dict) and response_format.get("type") == "json_schema": + json_schema_details = response_format.get("json_schema") + if isinstance(json_schema_details, dict) and "schema" in json_schema_details: + payload["guided_json"] = json_schema_details["schema"] # type: ignore [index] + return payload + + +class NebiusTextToImageTask(TaskProviderHelper): + def __init__(self): + super().__init__(task="text-to-image", provider="nebius", base_url="https://api.studio.nebius.ai") + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + return "/v1/images/generations" + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + mapped_model = provider_mapping_info.provider_id + parameters = filter_none(parameters) + if "guidance_scale" in parameters: + parameters.pop("guidance_scale") + if parameters.get("response_format") not in ("b64_json", "url"): + parameters["response_format"] = "b64_json" + + return {"prompt": inputs, **parameters, "model": mapped_model} + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + response_dict = _as_dict(response) + return base64.b64decode(response_dict["data"][0]["b64_json"]) + + +class NebiusFeatureExtractionTask(TaskProviderHelper): + def __init__(self): + super().__init__(task="feature-extraction", provider="nebius", base_url="https://api.studio.nebius.ai") + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + return "/v1/embeddings" + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + return {"input": inputs, "model": provider_mapping_info.provider_id} + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + embeddings = _as_dict(response)["data"] + return [embedding["embedding"] for embedding in embeddings] diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/novita.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/novita.py new file mode 100644 index 0000000000000000000000000000000000000000..44adc9017b456f487513cde251086075d84b69f0 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/novita.py @@ -0,0 +1,69 @@ +from typing import Any, Dict, Optional, Union + +from huggingface_hub.hf_api import InferenceProviderMapping +from huggingface_hub.inference._common import RequestParameters, _as_dict +from huggingface_hub.inference._providers._common import ( + BaseConversationalTask, + BaseTextGenerationTask, + TaskProviderHelper, + filter_none, +) +from huggingface_hub.utils import get_session + + +_PROVIDER = "novita" +_BASE_URL = "https://api.novita.ai" + + +class NovitaTextGenerationTask(BaseTextGenerationTask): + def __init__(self): + super().__init__(provider=_PROVIDER, base_url=_BASE_URL) + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + # there is no v1/ route for novita + return "/v3/openai/completions" + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + output = _as_dict(response)["choices"][0] + return { + "generated_text": output["text"], + "details": { + "finish_reason": output.get("finish_reason"), + "seed": output.get("seed"), + }, + } + + +class NovitaConversationalTask(BaseConversationalTask): + def __init__(self): + super().__init__(provider=_PROVIDER, base_url=_BASE_URL) + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + # there is no v1/ route for novita + return "/v3/openai/chat/completions" + + +class NovitaTextToVideoTask(TaskProviderHelper): + def __init__(self): + super().__init__(provider=_PROVIDER, base_url=_BASE_URL, task="text-to-video") + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + return f"/v3/hf/{mapped_model}" + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + return {"prompt": inputs, **filter_none(parameters)} + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + response_dict = _as_dict(response) + if not ( + isinstance(response_dict, dict) + and "video" in response_dict + and isinstance(response_dict["video"], dict) + and "video_url" in response_dict["video"] + ): + raise ValueError("Expected response format: { 'video': { 'video_url': string } }") + + video_url = response_dict["video"]["video_url"] + return get_session().get(video_url).content diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/nscale.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/nscale.py new file mode 100644 index 0000000000000000000000000000000000000000..ce5b20e354e246e93a7dd9831e4acf69ebcfad63 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/nscale.py @@ -0,0 +1,44 @@ +import base64 +from typing import Any, Dict, Optional, Union + +from huggingface_hub.hf_api import InferenceProviderMapping +from huggingface_hub.inference._common import RequestParameters, _as_dict + +from ._common import BaseConversationalTask, TaskProviderHelper, filter_none + + +class NscaleConversationalTask(BaseConversationalTask): + def __init__(self): + super().__init__(provider="nscale", base_url="https://inference.api.nscale.com") + + +class NscaleTextToImageTask(TaskProviderHelper): + def __init__(self): + super().__init__(provider="nscale", base_url="https://inference.api.nscale.com", task="text-to-image") + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + return "/v1/images/generations" + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + mapped_model = provider_mapping_info.provider_id + # Combine all parameters except inputs and parameters + parameters = filter_none(parameters) + if "width" in parameters and "height" in parameters: + parameters["size"] = f"{parameters.pop('width')}x{parameters.pop('height')}" + if "num_inference_steps" in parameters: + parameters.pop("num_inference_steps") + if "cfg_scale" in parameters: + parameters.pop("cfg_scale") + payload = { + "response_format": "b64_json", + "prompt": inputs, + "model": mapped_model, + **parameters, + } + return payload + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + response_dict = _as_dict(response) + return base64.b64decode(response_dict["data"][0]["b64_json"]) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/openai.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/openai.py new file mode 100644 index 0000000000000000000000000000000000000000..7a554093c173ea8f664cb7fbd9616ce3a08ce78c --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/openai.py @@ -0,0 +1,25 @@ +from typing import Optional + +from huggingface_hub.hf_api import InferenceProviderMapping +from huggingface_hub.inference._providers._common import BaseConversationalTask + + +class OpenAIConversationalTask(BaseConversationalTask): + def __init__(self): + super().__init__(provider="openai", base_url="https://api.openai.com") + + def _prepare_api_key(self, api_key: Optional[str]) -> str: + if api_key is None: + raise ValueError("You must provide an api_key to work with OpenAI API.") + if api_key.startswith("hf_"): + raise ValueError( + "OpenAI provider is not available through Hugging Face routing, please use your own OpenAI API key." + ) + return api_key + + def _prepare_mapping_info(self, model: Optional[str]) -> InferenceProviderMapping: + if model is None: + raise ValueError("Please provide an OpenAI model ID, e.g. `gpt-4o` or `o1`.") + return InferenceProviderMapping( + provider="openai", providerId=model, task="conversational", status="live", hf_model_id=model + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/replicate.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/replicate.py new file mode 100644 index 0000000000000000000000000000000000000000..8a1037b6f2b9a8a03cc2e282bb7c50c0c6507847 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/replicate.py @@ -0,0 +1,90 @@ +from typing import Any, Dict, Optional, Union + +from huggingface_hub.hf_api import InferenceProviderMapping +from huggingface_hub.inference._common import RequestParameters, _as_dict, _as_url +from huggingface_hub.inference._providers._common import TaskProviderHelper, filter_none +from huggingface_hub.utils import get_session + + +_PROVIDER = "replicate" +_BASE_URL = "https://api.replicate.com" + + +class ReplicateTask(TaskProviderHelper): + def __init__(self, task: str): + super().__init__(provider=_PROVIDER, base_url=_BASE_URL, task=task) + + def _prepare_headers(self, headers: Dict, api_key: str) -> Dict: + headers = super()._prepare_headers(headers, api_key) + headers["Prefer"] = "wait" + return headers + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + if ":" in mapped_model: + return "/v1/predictions" + return f"/v1/models/{mapped_model}/predictions" + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + mapped_model = provider_mapping_info.provider_id + payload: Dict[str, Any] = {"input": {"prompt": inputs, **filter_none(parameters)}} + if ":" in mapped_model: + version = mapped_model.split(":", 1)[1] + payload["version"] = version + return payload + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + response_dict = _as_dict(response) + if response_dict.get("output") is None: + raise TimeoutError( + f"Inference request timed out after 60 seconds. No output generated for model {response_dict.get('model')}" + "The model might be in cold state or starting up. Please try again later." + ) + output_url = ( + response_dict["output"] if isinstance(response_dict["output"], str) else response_dict["output"][0] + ) + return get_session().get(output_url).content + + +class ReplicateTextToImageTask(ReplicateTask): + def __init__(self): + super().__init__("text-to-image") + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + payload: Dict = super()._prepare_payload_as_dict(inputs, parameters, provider_mapping_info) # type: ignore[assignment] + if provider_mapping_info.adapter_weights_path is not None: + payload["input"]["lora_weights"] = f"https://huggingface.co/{provider_mapping_info.hf_model_id}" + return payload + + +class ReplicateTextToSpeechTask(ReplicateTask): + def __init__(self): + super().__init__("text-to-speech") + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + payload: Dict = super()._prepare_payload_as_dict(inputs, parameters, provider_mapping_info) # type: ignore[assignment] + payload["input"]["text"] = payload["input"].pop("prompt") # rename "prompt" to "text" for TTS + return payload + + +class ReplicateImageToImageTask(ReplicateTask): + def __init__(self): + super().__init__("image-to-image") + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + image_url = _as_url(inputs, default_mime_type="image/jpeg") + + payload: Dict[str, Any] = {"input": {"input_image": image_url, **filter_none(parameters)}} + + mapped_model = provider_mapping_info.provider_id + if ":" in mapped_model: + version = mapped_model.split(":", 1)[1] + payload["version"] = version + return payload diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/sambanova.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/sambanova.py new file mode 100644 index 0000000000000000000000000000000000000000..ed96fb766ce49003b605bda8ef8ee34da0ebe2f4 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/sambanova.py @@ -0,0 +1,42 @@ +from typing import Any, Dict, Optional, Union + +from huggingface_hub.hf_api import InferenceProviderMapping +from huggingface_hub.inference._common import RequestParameters, _as_dict +from huggingface_hub.inference._providers._common import BaseConversationalTask, TaskProviderHelper, filter_none + + +class SambanovaConversationalTask(BaseConversationalTask): + def __init__(self): + super().__init__(provider="sambanova", base_url="https://api.sambanova.ai") + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + response_format_config = parameters.get("response_format") + if isinstance(response_format_config, dict): + if response_format_config.get("type") == "json_schema": + json_schema_config = response_format_config.get("json_schema", {}) + strict = json_schema_config.get("strict") + if isinstance(json_schema_config, dict) and (strict is True or strict is None): + json_schema_config["strict"] = False + + payload = super()._prepare_payload_as_dict(inputs, parameters, provider_mapping_info) + return payload + + +class SambanovaFeatureExtractionTask(TaskProviderHelper): + def __init__(self): + super().__init__(provider="sambanova", base_url="https://api.sambanova.ai", task="feature-extraction") + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + return "/v1/embeddings" + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + parameters = filter_none(parameters) + return {"input": inputs, "model": provider_mapping_info.provider_id, **parameters} + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + embeddings = _as_dict(response)["data"] + return [embedding["embedding"] for embedding in embeddings] diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/together.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/together.py new file mode 100644 index 0000000000000000000000000000000000000000..de166b7baf8d50b255f29cf8cc9b9d3fa639646e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/inference/_providers/together.py @@ -0,0 +1,88 @@ +import base64 +from abc import ABC +from typing import Any, Dict, Optional, Union + +from huggingface_hub.hf_api import InferenceProviderMapping +from huggingface_hub.inference._common import RequestParameters, _as_dict +from huggingface_hub.inference._providers._common import ( + BaseConversationalTask, + BaseTextGenerationTask, + TaskProviderHelper, + filter_none, +) + + +_PROVIDER = "together" +_BASE_URL = "https://api.together.xyz" + + +class TogetherTask(TaskProviderHelper, ABC): + """Base class for Together API tasks.""" + + def __init__(self, task: str): + super().__init__(provider=_PROVIDER, base_url=_BASE_URL, task=task) + + def _prepare_route(self, mapped_model: str, api_key: str) -> str: + if self.task == "text-to-image": + return "/v1/images/generations" + elif self.task == "conversational": + return "/v1/chat/completions" + elif self.task == "text-generation": + return "/v1/completions" + raise ValueError(f"Unsupported task '{self.task}' for Together API.") + + +class TogetherTextGenerationTask(BaseTextGenerationTask): + def __init__(self): + super().__init__(provider=_PROVIDER, base_url=_BASE_URL) + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + output = _as_dict(response)["choices"][0] + return { + "generated_text": output["text"], + "details": { + "finish_reason": output.get("finish_reason"), + "seed": output.get("seed"), + }, + } + + +class TogetherConversationalTask(BaseConversationalTask): + def __init__(self): + super().__init__(provider=_PROVIDER, base_url=_BASE_URL) + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + payload = super()._prepare_payload_as_dict(inputs, parameters, provider_mapping_info) + response_format = parameters.get("response_format") + if isinstance(response_format, dict) and response_format.get("type") == "json_schema": + json_schema_details = response_format.get("json_schema") + if isinstance(json_schema_details, dict) and "schema" in json_schema_details: + payload["response_format"] = { # type: ignore [index] + "type": "json_object", + "schema": json_schema_details["schema"], + } + + return payload + + +class TogetherTextToImageTask(TogetherTask): + def __init__(self): + super().__init__("text-to-image") + + def _prepare_payload_as_dict( + self, inputs: Any, parameters: Dict, provider_mapping_info: InferenceProviderMapping + ) -> Optional[Dict]: + mapped_model = provider_mapping_info.provider_id + parameters = filter_none(parameters) + if "num_inference_steps" in parameters: + parameters["steps"] = parameters.pop("num_inference_steps") + if "guidance_scale" in parameters: + parameters["guidance"] = parameters.pop("guidance_scale") + + return {"prompt": inputs, "response_format": "base64", **parameters, "model": mapped_model} + + def get_response(self, response: Union[bytes, Dict], request_params: Optional[RequestParameters] = None) -> Any: + response_dict = _as_dict(response) + return base64.b64decode(response_dict["data"][0]["b64_json"]) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..8949a22a5f65ab29b7df65aa6a9df9bce0544b7e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__init__.py @@ -0,0 +1,27 @@ +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ruff: noqa: F401 +"""Contains helpers to serialize tensors.""" + +from ._base import StateDictSplit, split_state_dict_into_shards_factory +from ._tensorflow import get_tf_storage_size, split_tf_state_dict_into_shards +from ._torch import ( + get_torch_storage_id, + get_torch_storage_size, + load_state_dict_from_file, + load_torch_model, + save_torch_model, + save_torch_state_dict, + split_torch_state_dict_into_shards, +) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..747d6cdbf89293091ad305ed3b2401c58e56f8b8 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/__init__.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/_base.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/_base.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a621d3cb5e5f08799f36aa6ed4fd95cc26f43fc2 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/_base.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/_dduf.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/_dduf.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..f378b1b0b74e47273617463567e50adbf10f8f42 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/_dduf.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/_tensorflow.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/_tensorflow.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..5dc25520e3a59d8c38f2bc0fde73315273d6ccf3 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/_tensorflow.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/_torch.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/_torch.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..009259b0904058c48b7b63a396b5a7c01932fa3d Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/__pycache__/_torch.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/_base.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/_base.py new file mode 100644 index 0000000000000000000000000000000000000000..b7b6454a90e1942854dd0a095a59c92794323279 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/_base.py @@ -0,0 +1,210 @@ +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains helpers to split tensors into shards.""" + +from dataclasses import dataclass, field +from typing import Any, Callable, Dict, List, Optional, TypeVar, Union + +from .. import logging + + +TensorT = TypeVar("TensorT") +TensorSizeFn_T = Callable[[TensorT], int] +StorageIDFn_T = Callable[[TensorT], Optional[Any]] + +MAX_SHARD_SIZE = "5GB" +SIZE_UNITS = { + "TB": 10**12, + "GB": 10**9, + "MB": 10**6, + "KB": 10**3, +} + + +logger = logging.get_logger(__file__) + + +@dataclass +class StateDictSplit: + is_sharded: bool = field(init=False) + metadata: Dict[str, Any] + filename_to_tensors: Dict[str, List[str]] + tensor_to_filename: Dict[str, str] + + def __post_init__(self): + self.is_sharded = len(self.filename_to_tensors) > 1 + + +def split_state_dict_into_shards_factory( + state_dict: Dict[str, TensorT], + *, + get_storage_size: TensorSizeFn_T, + filename_pattern: str, + get_storage_id: StorageIDFn_T = lambda tensor: None, + max_shard_size: Union[int, str] = MAX_SHARD_SIZE, +) -> StateDictSplit: + """ + Split a model state dictionary in shards so that each shard is smaller than a given size. + + The shards are determined by iterating through the `state_dict` in the order of its keys. There is no optimization + made to make each shard as close as possible to the maximum size passed. For example, if the limit is 10GB and we + have tensors of sizes [6GB, 6GB, 2GB, 6GB, 2GB, 2GB] they will get sharded as [6GB], [6+2GB], [6+2+2GB] and not + [6+2+2GB], [6+2GB], [6GB]. + + + + If one of the model's tensor is bigger than `max_shard_size`, it will end up in its own shard which will have a + size greater than `max_shard_size`. + + + + Args: + state_dict (`Dict[str, Tensor]`): + The state dictionary to save. + get_storage_size (`Callable[[Tensor], int]`): + A function that returns the size of a tensor when saved on disk in bytes. + get_storage_id (`Callable[[Tensor], Optional[Any]]`, *optional*): + A function that returns a unique identifier to a tensor storage. Multiple different tensors can share the + same underlying storage. This identifier is guaranteed to be unique and constant for this tensor's storage + during its lifetime. Two tensor storages with non-overlapping lifetimes may have the same id. + filename_pattern (`str`, *optional*): + The pattern to generate the files names in which the model will be saved. Pattern must be a string that + can be formatted with `filename_pattern.format(suffix=...)` and must contain the keyword `suffix` + max_shard_size (`int` or `str`, *optional*): + The maximum size of each shard, in bytes. Defaults to 5GB. + + Returns: + [`StateDictSplit`]: A `StateDictSplit` object containing the shards and the index to retrieve them. + """ + storage_id_to_tensors: Dict[Any, List[str]] = {} + + shard_list: List[Dict[str, TensorT]] = [] + current_shard: Dict[str, TensorT] = {} + current_shard_size = 0 + total_size = 0 + + if isinstance(max_shard_size, str): + max_shard_size = parse_size_to_int(max_shard_size) + + for key, tensor in state_dict.items(): + # when bnb serialization is used the weights in the state dict can be strings + # check: https://github.com/huggingface/transformers/pull/24416 for more details + if isinstance(tensor, str): + logger.info("Skipping tensor %s as it is a string (bnb serialization)", key) + continue + + # If a `tensor` shares the same underlying storage as another tensor, we put `tensor` in the same `block` + storage_id = get_storage_id(tensor) + if storage_id is not None: + if storage_id in storage_id_to_tensors: + # We skip this tensor for now and will reassign to correct shard later + storage_id_to_tensors[storage_id].append(key) + continue + else: + # This is the first tensor with this storage_id, we create a new entry + # in the storage_id_to_tensors dict => we will assign the shard id later + storage_id_to_tensors[storage_id] = [key] + + # Compute tensor size + tensor_size = get_storage_size(tensor) + + # If this tensor is bigger than the maximal size, we put it in its own shard + if tensor_size > max_shard_size: + total_size += tensor_size + shard_list.append({key: tensor}) + continue + + # If this tensor is going to tip up over the maximal size, we split. + # Current shard already has some tensors, we add it to the list of shards and create a new one. + if current_shard_size + tensor_size > max_shard_size: + shard_list.append(current_shard) + current_shard = {} + current_shard_size = 0 + + # Add the tensor to the current shard + current_shard[key] = tensor + current_shard_size += tensor_size + total_size += tensor_size + + # Add the last shard + if len(current_shard) > 0: + shard_list.append(current_shard) + nb_shards = len(shard_list) + + # Loop over the tensors that share the same storage and assign them together + for storage_id, keys in storage_id_to_tensors.items(): + # Let's try to find the shard where the first tensor of this storage is and put all tensors in the same shard + for shard in shard_list: + if keys[0] in shard: + for key in keys: + shard[key] = state_dict[key] + break + + # If we only have one shard, we return it => no need to build the index + if nb_shards == 1: + filename = filename_pattern.format(suffix="") + return StateDictSplit( + metadata={"total_size": total_size}, + filename_to_tensors={filename: list(state_dict.keys())}, + tensor_to_filename={key: filename for key in state_dict.keys()}, + ) + + # Now that each tensor is assigned to a shard, let's assign a filename to each shard + tensor_name_to_filename = {} + filename_to_tensors = {} + for idx, shard in enumerate(shard_list): + filename = filename_pattern.format(suffix=f"-{idx + 1:05d}-of-{nb_shards:05d}") + for key in shard: + tensor_name_to_filename[key] = filename + filename_to_tensors[filename] = list(shard.keys()) + + # Build the index and return + return StateDictSplit( + metadata={"total_size": total_size}, + filename_to_tensors=filename_to_tensors, + tensor_to_filename=tensor_name_to_filename, + ) + + +def parse_size_to_int(size_as_str: str) -> int: + """ + Parse a size expressed as a string with digits and unit (like `"5MB"`) to an integer (in bytes). + + Supported units are "TB", "GB", "MB", "KB". + + Args: + size_as_str (`str`): The size to convert. Will be directly returned if an `int`. + + Example: + + ```py + >>> parse_size_to_int("5MB") + 5000000 + ``` + """ + size_as_str = size_as_str.strip() + + # Parse unit + unit = size_as_str[-2:].upper() + if unit not in SIZE_UNITS: + raise ValueError(f"Unit '{unit}' not supported. Supported units are TB, GB, MB, KB. Got '{size_as_str}'.") + multiplier = SIZE_UNITS[unit] + + # Parse value + try: + value = float(size_as_str[:-2].strip()) + except ValueError as e: + raise ValueError(f"Could not parse the size value from '{size_as_str}': {e}") from e + + return int(value * multiplier) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/_dduf.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/_dduf.py new file mode 100644 index 0000000000000000000000000000000000000000..a1debadb3ac8a45716f0359b932dc065f09edb84 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/_dduf.py @@ -0,0 +1,387 @@ +import json +import logging +import mmap +import os +import shutil +import zipfile +from contextlib import contextmanager +from dataclasses import dataclass, field +from pathlib import Path +from typing import Any, Dict, Generator, Iterable, Tuple, Union + +from ..errors import DDUFCorruptedFileError, DDUFExportError, DDUFInvalidEntryNameError + + +logger = logging.getLogger(__name__) + +DDUF_ALLOWED_ENTRIES = { + # Allowed file extensions in a DDUF file + ".json", + ".model", + ".safetensors", + ".txt", +} + +DDUF_FOLDER_REQUIRED_ENTRIES = { + # Each folder must contain at least one of these entries + "config.json", + "tokenizer_config.json", + "preprocessor_config.json", + "scheduler_config.json", +} + + +@dataclass +class DDUFEntry: + """Object representing a file entry in a DDUF file. + + See [`read_dduf_file`] for how to read a DDUF file. + + Attributes: + filename (str): + The name of the file in the DDUF archive. + offset (int): + The offset of the file in the DDUF archive. + length (int): + The length of the file in the DDUF archive. + dduf_path (str): + The path to the DDUF archive (for internal use). + """ + + filename: str + length: int + offset: int + + dduf_path: Path = field(repr=False) + + @contextmanager + def as_mmap(self) -> Generator[bytes, None, None]: + """Open the file as a memory-mapped file. + + Useful to load safetensors directly from the file. + + Example: + ```py + >>> import safetensors.torch + >>> with entry.as_mmap() as mm: + ... tensors = safetensors.torch.load(mm) + ``` + """ + with self.dduf_path.open("rb") as f: + with mmap.mmap(f.fileno(), length=0, access=mmap.ACCESS_READ) as mm: + yield mm[self.offset : self.offset + self.length] + + def read_text(self, encoding: str = "utf-8") -> str: + """Read the file as text. + + Useful for '.txt' and '.json' entries. + + Example: + ```py + >>> import json + >>> index = json.loads(entry.read_text()) + ``` + """ + with self.dduf_path.open("rb") as f: + f.seek(self.offset) + return f.read(self.length).decode(encoding=encoding) + + +def read_dduf_file(dduf_path: Union[os.PathLike, str]) -> Dict[str, DDUFEntry]: + """ + Read a DDUF file and return a dictionary of entries. + + Only the metadata is read, the data is not loaded in memory. + + Args: + dduf_path (`str` or `os.PathLike`): + The path to the DDUF file to read. + + Returns: + `Dict[str, DDUFEntry]`: + A dictionary of [`DDUFEntry`] indexed by filename. + + Raises: + - [`DDUFCorruptedFileError`]: If the DDUF file is corrupted (i.e. doesn't follow the DDUF format). + + Example: + ```python + >>> import json + >>> import safetensors.torch + >>> from huggingface_hub import read_dduf_file + + # Read DDUF metadata + >>> dduf_entries = read_dduf_file("FLUX.1-dev.dduf") + + # Returns a mapping filename <> DDUFEntry + >>> dduf_entries["model_index.json"] + DDUFEntry(filename='model_index.json', offset=66, length=587) + + # Load model index as JSON + >>> json.loads(dduf_entries["model_index.json"].read_text()) + {'_class_name': 'FluxPipeline', '_diffusers_version': '0.32.0.dev0', '_name_or_path': 'black-forest-labs/FLUX.1-dev', ... + + # Load VAE weights using safetensors + >>> with dduf_entries["vae/diffusion_pytorch_model.safetensors"].as_mmap() as mm: + ... state_dict = safetensors.torch.load(mm) + ``` + """ + entries = {} + dduf_path = Path(dduf_path) + logger.info(f"Reading DDUF file {dduf_path}") + with zipfile.ZipFile(str(dduf_path), "r") as zf: + for info in zf.infolist(): + logger.debug(f"Reading entry {info.filename}") + if info.compress_type != zipfile.ZIP_STORED: + raise DDUFCorruptedFileError("Data must not be compressed in DDUF file.") + + try: + _validate_dduf_entry_name(info.filename) + except DDUFInvalidEntryNameError as e: + raise DDUFCorruptedFileError(f"Invalid entry name in DDUF file: {info.filename}") from e + + offset = _get_data_offset(zf, info) + + entries[info.filename] = DDUFEntry( + filename=info.filename, offset=offset, length=info.file_size, dduf_path=dduf_path + ) + + # Consistency checks on the DDUF file + if "model_index.json" not in entries: + raise DDUFCorruptedFileError("Missing required 'model_index.json' entry in DDUF file.") + index = json.loads(entries["model_index.json"].read_text()) + _validate_dduf_structure(index, entries.keys()) + + logger.info(f"Done reading DDUF file {dduf_path}. Found {len(entries)} entries") + return entries + + +def export_entries_as_dduf( + dduf_path: Union[str, os.PathLike], entries: Iterable[Tuple[str, Union[str, Path, bytes]]] +) -> None: + """Write a DDUF file from an iterable of entries. + + This is a lower-level helper than [`export_folder_as_dduf`] that allows more flexibility when serializing data. + In particular, you don't need to save the data on disk before exporting it in the DDUF file. + + Args: + dduf_path (`str` or `os.PathLike`): + The path to the DDUF file to write. + entries (`Iterable[Tuple[str, Union[str, Path, bytes]]]`): + An iterable of entries to write in the DDUF file. Each entry is a tuple with the filename and the content. + The filename should be the path to the file in the DDUF archive. + The content can be a string or a pathlib.Path representing a path to a file on the local disk or directly the content as bytes. + + Raises: + - [`DDUFExportError`]: If anything goes wrong during the export (e.g. invalid entry name, missing 'model_index.json', etc.). + + Example: + ```python + # Export specific files from the local disk. + >>> from huggingface_hub import export_entries_as_dduf + >>> export_entries_as_dduf( + ... dduf_path="stable-diffusion-v1-4-FP16.dduf", + ... entries=[ # List entries to add to the DDUF file (here, only FP16 weights) + ... ("model_index.json", "path/to/model_index.json"), + ... ("vae/config.json", "path/to/vae/config.json"), + ... ("vae/diffusion_pytorch_model.fp16.safetensors", "path/to/vae/diffusion_pytorch_model.fp16.safetensors"), + ... ("text_encoder/config.json", "path/to/text_encoder/config.json"), + ... ("text_encoder/model.fp16.safetensors", "path/to/text_encoder/model.fp16.safetensors"), + ... # ... add more entries here + ... ] + ... ) + ``` + + ```python + # Export state_dicts one by one from a loaded pipeline + >>> from diffusers import DiffusionPipeline + >>> from typing import Generator, Tuple + >>> import safetensors.torch + >>> from huggingface_hub import export_entries_as_dduf + >>> pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4") + ... # ... do some work with the pipeline + + >>> def as_entries(pipe: DiffusionPipeline) -> Generator[Tuple[str, bytes], None, None]: + ... # Build an generator that yields the entries to add to the DDUF file. + ... # The first element of the tuple is the filename in the DDUF archive (must use UNIX separator!). The second element is the content of the file. + ... # Entries will be evaluated lazily when the DDUF file is created (only 1 entry is loaded in memory at a time) + ... yield "vae/config.json", pipe.vae.to_json_string().encode() + ... yield "vae/diffusion_pytorch_model.safetensors", safetensors.torch.save(pipe.vae.state_dict()) + ... yield "text_encoder/config.json", pipe.text_encoder.config.to_json_string().encode() + ... yield "text_encoder/model.safetensors", safetensors.torch.save(pipe.text_encoder.state_dict()) + ... # ... add more entries here + + >>> export_entries_as_dduf(dduf_path="stable-diffusion-v1-4.dduf", entries=as_entries(pipe)) + ``` + """ + logger.info(f"Exporting DDUF file '{dduf_path}'") + filenames = set() + index = None + with zipfile.ZipFile(str(dduf_path), "w", zipfile.ZIP_STORED) as archive: + for filename, content in entries: + if filename in filenames: + raise DDUFExportError(f"Can't add duplicate entry: {filename}") + filenames.add(filename) + + if filename == "model_index.json": + try: + index = json.loads(_load_content(content).decode()) + except json.JSONDecodeError as e: + raise DDUFExportError("Failed to parse 'model_index.json'.") from e + + try: + filename = _validate_dduf_entry_name(filename) + except DDUFInvalidEntryNameError as e: + raise DDUFExportError(f"Invalid entry name: {filename}") from e + logger.debug(f"Adding entry '{filename}' to DDUF file") + _dump_content_in_archive(archive, filename, content) + + # Consistency checks on the DDUF file + if index is None: + raise DDUFExportError("Missing required 'model_index.json' entry in DDUF file.") + try: + _validate_dduf_structure(index, filenames) + except DDUFCorruptedFileError as e: + raise DDUFExportError("Invalid DDUF file structure.") from e + + logger.info(f"Done writing DDUF file {dduf_path}") + + +def export_folder_as_dduf(dduf_path: Union[str, os.PathLike], folder_path: Union[str, os.PathLike]) -> None: + """ + Export a folder as a DDUF file. + + AUses [`export_entries_as_dduf`] under the hood. + + Args: + dduf_path (`str` or `os.PathLike`): + The path to the DDUF file to write. + folder_path (`str` or `os.PathLike`): + The path to the folder containing the diffusion model. + + Example: + ```python + >>> from huggingface_hub import export_folder_as_dduf + >>> export_folder_as_dduf(dduf_path="FLUX.1-dev.dduf", folder_path="path/to/FLUX.1-dev") + ``` + """ + folder_path = Path(folder_path) + + def _iterate_over_folder() -> Iterable[Tuple[str, Path]]: + for path in Path(folder_path).glob("**/*"): + if not path.is_file(): + continue + if path.suffix not in DDUF_ALLOWED_ENTRIES: + logger.debug(f"Skipping file '{path}' (file type not allowed)") + continue + path_in_archive = path.relative_to(folder_path) + if len(path_in_archive.parts) >= 3: + logger.debug(f"Skipping file '{path}' (nested directories not allowed)") + continue + yield path_in_archive.as_posix(), path + + export_entries_as_dduf(dduf_path, _iterate_over_folder()) + + +def _dump_content_in_archive(archive: zipfile.ZipFile, filename: str, content: Union[str, os.PathLike, bytes]) -> None: + with archive.open(filename, "w", force_zip64=True) as archive_fh: + if isinstance(content, (str, Path)): + content_path = Path(content) + with content_path.open("rb") as content_fh: + shutil.copyfileobj(content_fh, archive_fh, 1024 * 1024 * 8) # type: ignore[misc] + elif isinstance(content, bytes): + archive_fh.write(content) + else: + raise DDUFExportError(f"Invalid content type for {filename}. Must be str, Path or bytes.") + + +def _load_content(content: Union[str, Path, bytes]) -> bytes: + """Load the content of an entry as bytes. + + Used only for small checks (not to dump content into archive). + """ + if isinstance(content, (str, Path)): + return Path(content).read_bytes() + elif isinstance(content, bytes): + return content + else: + raise DDUFExportError(f"Invalid content type. Must be str, Path or bytes. Got {type(content)}.") + + +def _validate_dduf_entry_name(entry_name: str) -> str: + if "." + entry_name.split(".")[-1] not in DDUF_ALLOWED_ENTRIES: + raise DDUFInvalidEntryNameError(f"File type not allowed: {entry_name}") + if "\\" in entry_name: + raise DDUFInvalidEntryNameError(f"Entry names must use UNIX separators ('/'). Got {entry_name}.") + entry_name = entry_name.strip("/") + if entry_name.count("/") > 1: + raise DDUFInvalidEntryNameError(f"DDUF only supports 1 level of directory. Got {entry_name}.") + return entry_name + + +def _validate_dduf_structure(index: Any, entry_names: Iterable[str]) -> None: + """ + Consistency checks on the DDUF file structure. + + Rules: + - The 'model_index.json' entry is required and must contain a dictionary. + - Each folder name must correspond to an entry in 'model_index.json'. + - Each folder must contain at least a config file ('config.json', 'tokenizer_config.json', 'preprocessor_config.json', 'scheduler_config.json'). + + Args: + index (Any): + The content of the 'model_index.json' entry. + entry_names (Iterable[str]): + The list of entry names in the DDUF file. + + Raises: + - [`DDUFCorruptedFileError`]: If the DDUF file is corrupted (i.e. doesn't follow the DDUF format). + """ + if not isinstance(index, dict): + raise DDUFCorruptedFileError(f"Invalid 'model_index.json' content. Must be a dictionary. Got {type(index)}.") + + dduf_folders = {entry.split("/")[0] for entry in entry_names if "/" in entry} + for folder in dduf_folders: + if folder not in index: + raise DDUFCorruptedFileError(f"Missing required entry '{folder}' in 'model_index.json'.") + if not any(f"{folder}/{required_entry}" in entry_names for required_entry in DDUF_FOLDER_REQUIRED_ENTRIES): + raise DDUFCorruptedFileError( + f"Missing required file in folder '{folder}'. Must contains at least one of {DDUF_FOLDER_REQUIRED_ENTRIES}." + ) + + +def _get_data_offset(zf: zipfile.ZipFile, info: zipfile.ZipInfo) -> int: + """ + Calculate the data offset for a file in a ZIP archive. + + Args: + zf (`zipfile.ZipFile`): + The opened ZIP file. Must be opened in read mode. + info (`zipfile.ZipInfo`): + The file info. + + Returns: + int: The offset of the file data in the ZIP archive. + """ + if zf.fp is None: + raise DDUFCorruptedFileError("ZipFile object must be opened in read mode.") + + # Step 1: Get the local file header offset + header_offset = info.header_offset + + # Step 2: Read the local file header + zf.fp.seek(header_offset) + local_file_header = zf.fp.read(30) # Fixed-size part of the local header + + if len(local_file_header) < 30: + raise DDUFCorruptedFileError("Incomplete local file header.") + + # Step 3: Parse the header fields to calculate the start of file data + # Local file header: https://en.wikipedia.org/wiki/ZIP_(file_format)#File_headers + filename_len = int.from_bytes(local_file_header[26:28], "little") + extra_field_len = int.from_bytes(local_file_header[28:30], "little") + + # Data offset is after the fixed header, filename, and extra fields + data_offset = header_offset + 30 + filename_len + extra_field_len + + return data_offset diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/_tensorflow.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/_tensorflow.py new file mode 100644 index 0000000000000000000000000000000000000000..59ed8110b28f4891d67e754fdfbfa47a26f85be1 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/_tensorflow.py @@ -0,0 +1,95 @@ +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains tensorflow-specific helpers.""" + +import math +import re +from typing import TYPE_CHECKING, Dict, Union + +from .. import constants +from ._base import MAX_SHARD_SIZE, StateDictSplit, split_state_dict_into_shards_factory + + +if TYPE_CHECKING: + import tensorflow as tf + + +def split_tf_state_dict_into_shards( + state_dict: Dict[str, "tf.Tensor"], + *, + filename_pattern: str = constants.TF2_WEIGHTS_FILE_PATTERN, + max_shard_size: Union[int, str] = MAX_SHARD_SIZE, +) -> StateDictSplit: + """ + Split a model state dictionary in shards so that each shard is smaller than a given size. + + The shards are determined by iterating through the `state_dict` in the order of its keys. There is no optimization + made to make each shard as close as possible to the maximum size passed. For example, if the limit is 10GB and we + have tensors of sizes [6GB, 6GB, 2GB, 6GB, 2GB, 2GB] they will get sharded as [6GB], [6+2GB], [6+2+2GB] and not + [6+2+2GB], [6+2GB], [6GB]. + + + + If one of the model's tensor is bigger than `max_shard_size`, it will end up in its own shard which will have a + size greater than `max_shard_size`. + + + + Args: + state_dict (`Dict[str, Tensor]`): + The state dictionary to save. + filename_pattern (`str`, *optional*): + The pattern to generate the files names in which the model will be saved. Pattern must be a string that + can be formatted with `filename_pattern.format(suffix=...)` and must contain the keyword `suffix` + Defaults to `"tf_model{suffix}.h5"`. + max_shard_size (`int` or `str`, *optional*): + The maximum size of each shard, in bytes. Defaults to 5GB. + + Returns: + [`StateDictSplit`]: A `StateDictSplit` object containing the shards and the index to retrieve them. + """ + return split_state_dict_into_shards_factory( + state_dict, + max_shard_size=max_shard_size, + filename_pattern=filename_pattern, + get_storage_size=get_tf_storage_size, + ) + + +def get_tf_storage_size(tensor: "tf.Tensor") -> int: + # Return `math.ceil` since dtype byte size can be a float (e.g., 0.125 for tf.bool). + # Better to overestimate than underestimate. + return math.ceil(tensor.numpy().size * _dtype_byte_size_tf(tensor.dtype)) + + +def _dtype_byte_size_tf(dtype) -> float: + """ + Returns the size (in bytes) occupied by one parameter of type `dtype`. + Taken from https://github.com/huggingface/transformers/blob/74d9d0cebb0263a3f8ab9c280569170cc74651d0/src/transformers/modeling_tf_utils.py#L608. + NOTE: why not `tensor.numpy().nbytes`? + Example: + ```py + >>> _dtype_byte_size(tf.float32) + 4 + ``` + """ + import tensorflow as tf + + if dtype == tf.bool: + return 1 / 8 + bit_search = re.search(r"[^\d](\d+)$", dtype.name) + if bit_search is None: + raise ValueError(f"`dtype` is not a valid dtype: {dtype}.") + bit_size = int(bit_search.groups()[0]) + return bit_size // 8 diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/_torch.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/_torch.py new file mode 100644 index 0000000000000000000000000000000000000000..c5c70fc89b58b323756bd33d38cb3f604aaf0da0 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/serialization/_torch.py @@ -0,0 +1,1033 @@ +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains pytorch-specific helpers.""" + +import importlib +import json +import os +import re +from collections import defaultdict, namedtuple +from functools import lru_cache +from pathlib import Path +from typing import TYPE_CHECKING, Any, Dict, Iterable, List, NamedTuple, Optional, Set, Tuple, Union + +from packaging import version + +from .. import constants, logging +from ._base import MAX_SHARD_SIZE, StateDictSplit, split_state_dict_into_shards_factory + + +logger = logging.get_logger(__file__) + +if TYPE_CHECKING: + import torch + +# SAVING + + +def save_torch_model( + model: "torch.nn.Module", + save_directory: Union[str, Path], + *, + filename_pattern: Optional[str] = None, + force_contiguous: bool = True, + max_shard_size: Union[int, str] = MAX_SHARD_SIZE, + metadata: Optional[Dict[str, str]] = None, + safe_serialization: bool = True, + is_main_process: bool = True, + shared_tensors_to_discard: Optional[List[str]] = None, +): + """ + Saves a given torch model to disk, handling sharding and shared tensors issues. + + See also [`save_torch_state_dict`] to save a state dict with more flexibility. + + For more information about tensor sharing, check out [this guide](https://huggingface.co/docs/safetensors/torch_shared_tensors). + + The model state dictionary is split into shards so that each shard is smaller than a given size. The shards are + saved in the `save_directory` with the given `filename_pattern`. If the model is too big to fit in a single shard, + an index file is saved in the `save_directory` to indicate where each tensor is saved. This helper uses + [`split_torch_state_dict_into_shards`] under the hood. If `safe_serialization` is `True`, the shards are saved as + safetensors (the default). Otherwise, the shards are saved as pickle. + + Before saving the model, the `save_directory` is cleaned from any previous shard files. + + + + If one of the model's tensor is bigger than `max_shard_size`, it will end up in its own shard which will have a + size greater than `max_shard_size`. + + + + + + If your model is a `transformers.PreTrainedModel`, you should pass `model._tied_weights_keys` as `shared_tensors_to_discard` to properly handle shared tensors saving. This ensures the correct duplicate tensors are discarded during saving. + + + + Args: + model (`torch.nn.Module`): + The model to save on disk. + save_directory (`str` or `Path`): + The directory in which the model will be saved. + filename_pattern (`str`, *optional*): + The pattern to generate the files names in which the model will be saved. Pattern must be a string that + can be formatted with `filename_pattern.format(suffix=...)` and must contain the keyword `suffix` + Defaults to `"model{suffix}.safetensors"` or `pytorch_model{suffix}.bin` depending on `safe_serialization` + parameter. + force_contiguous (`boolean`, *optional*): + Forcing the state_dict to be saved as contiguous tensors. This has no effect on the correctness of the + model, but it could potentially change performance if the layout of the tensor was chosen specifically for + that reason. Defaults to `True`. + max_shard_size (`int` or `str`, *optional*): + The maximum size of each shard, in bytes. Defaults to 5GB. + metadata (`Dict[str, str]`, *optional*): + Extra information to save along with the model. Some metadata will be added for each dropped tensors. + This information will not be enough to recover the entire shared structure but might help understanding + things. + safe_serialization (`bool`, *optional*): + Whether to save as safetensors, which is the default behavior. If `False`, the shards are saved as pickle. + Safe serialization is recommended for security reasons. Saving as pickle is deprecated and will be removed + in a future version. + is_main_process (`bool`, *optional*): + Whether the process calling this is the main process or not. Useful when in distributed training like + TPUs and need to call this function from all processes. In this case, set `is_main_process=True` only on + the main process to avoid race conditions. Defaults to True. + shared_tensors_to_discard (`List[str]`, *optional*): + List of tensor names to drop when saving shared tensors. If not provided and shared tensors are + detected, it will drop the first name alphabetically. + + Example: + + ```py + >>> from huggingface_hub import save_torch_model + >>> model = ... # A PyTorch model + + # Save state dict to "path/to/folder". The model will be split into shards of 5GB each and saved as safetensors. + >>> save_torch_model(model, "path/to/folder") + + # Load model back + >>> from huggingface_hub import load_torch_model # TODO + >>> load_torch_model(model, "path/to/folder") + >>> + ``` + """ + save_torch_state_dict( + state_dict=model.state_dict(), + filename_pattern=filename_pattern, + force_contiguous=force_contiguous, + max_shard_size=max_shard_size, + metadata=metadata, + safe_serialization=safe_serialization, + save_directory=save_directory, + is_main_process=is_main_process, + shared_tensors_to_discard=shared_tensors_to_discard, + ) + + +def save_torch_state_dict( + state_dict: Dict[str, "torch.Tensor"], + save_directory: Union[str, Path], + *, + filename_pattern: Optional[str] = None, + force_contiguous: bool = True, + max_shard_size: Union[int, str] = MAX_SHARD_SIZE, + metadata: Optional[Dict[str, str]] = None, + safe_serialization: bool = True, + is_main_process: bool = True, + shared_tensors_to_discard: Optional[List[str]] = None, +) -> None: + """ + Save a model state dictionary to the disk, handling sharding and shared tensors issues. + + See also [`save_torch_model`] to directly save a PyTorch model. + + For more information about tensor sharing, check out [this guide](https://huggingface.co/docs/safetensors/torch_shared_tensors). + + The model state dictionary is split into shards so that each shard is smaller than a given size. The shards are + saved in the `save_directory` with the given `filename_pattern`. If the model is too big to fit in a single shard, + an index file is saved in the `save_directory` to indicate where each tensor is saved. This helper uses + [`split_torch_state_dict_into_shards`] under the hood. If `safe_serialization` is `True`, the shards are saved as + safetensors (the default). Otherwise, the shards are saved as pickle. + + Before saving the model, the `save_directory` is cleaned from any previous shard files. + + + + If one of the model's tensor is bigger than `max_shard_size`, it will end up in its own shard which will have a + size greater than `max_shard_size`. + + + + + + If your model is a `transformers.PreTrainedModel`, you should pass `model._tied_weights_keys` as `shared_tensors_to_discard` to properly handle shared tensors saving. This ensures the correct duplicate tensors are discarded during saving. + + + + Args: + state_dict (`Dict[str, torch.Tensor]`): + The state dictionary to save. + save_directory (`str` or `Path`): + The directory in which the model will be saved. + filename_pattern (`str`, *optional*): + The pattern to generate the files names in which the model will be saved. Pattern must be a string that + can be formatted with `filename_pattern.format(suffix=...)` and must contain the keyword `suffix` + Defaults to `"model{suffix}.safetensors"` or `pytorch_model{suffix}.bin` depending on `safe_serialization` + parameter. + force_contiguous (`boolean`, *optional*): + Forcing the state_dict to be saved as contiguous tensors. This has no effect on the correctness of the + model, but it could potentially change performance if the layout of the tensor was chosen specifically for + that reason. Defaults to `True`. + max_shard_size (`int` or `str`, *optional*): + The maximum size of each shard, in bytes. Defaults to 5GB. + metadata (`Dict[str, str]`, *optional*): + Extra information to save along with the model. Some metadata will be added for each dropped tensors. + This information will not be enough to recover the entire shared structure but might help understanding + things. + safe_serialization (`bool`, *optional*): + Whether to save as safetensors, which is the default behavior. If `False`, the shards are saved as pickle. + Safe serialization is recommended for security reasons. Saving as pickle is deprecated and will be removed + in a future version. + is_main_process (`bool`, *optional*): + Whether the process calling this is the main process or not. Useful when in distributed training like + TPUs and need to call this function from all processes. In this case, set `is_main_process=True` only on + the main process to avoid race conditions. Defaults to True. + shared_tensors_to_discard (`List[str]`, *optional*): + List of tensor names to drop when saving shared tensors. If not provided and shared tensors are + detected, it will drop the first name alphabetically. + + Example: + + ```py + >>> from huggingface_hub import save_torch_state_dict + >>> model = ... # A PyTorch model + + # Save state dict to "path/to/folder". The model will be split into shards of 5GB each and saved as safetensors. + >>> state_dict = model_to_save.state_dict() + >>> save_torch_state_dict(state_dict, "path/to/folder") + ``` + """ + save_directory = str(save_directory) + + if filename_pattern is None: + filename_pattern = ( + constants.SAFETENSORS_WEIGHTS_FILE_PATTERN + if safe_serialization + else constants.PYTORCH_WEIGHTS_FILE_PATTERN + ) + + if metadata is None: + metadata = {} + if safe_serialization: + try: + from safetensors.torch import save_file as save_file_fn + except ImportError as e: + raise ImportError( + "Please install `safetensors` to use safe serialization. " + "You can install it with `pip install safetensors`." + ) from e + # Clean state dict for safetensors + state_dict = _clean_state_dict_for_safetensors( + state_dict, + metadata, + force_contiguous=force_contiguous, + shared_tensors_to_discard=shared_tensors_to_discard, + ) + else: + from torch import save as save_file_fn # type: ignore[assignment, no-redef] + + logger.warning( + "You are using unsafe serialization. Due to security reasons, it is recommended not to load " + "pickled models from untrusted sources. If you intend to share your model, we strongly recommend " + "using safe serialization by installing `safetensors` with `pip install safetensors`." + ) + # Split dict + state_dict_split = split_torch_state_dict_into_shards( + state_dict, filename_pattern=filename_pattern, max_shard_size=max_shard_size + ) + + # Only main process should clean up existing files to avoid race conditions in distributed environment + if is_main_process: + existing_files_regex = re.compile(filename_pattern.format(suffix=r"(-\d{5}-of-\d{5})?") + r"(\.index\.json)?") + for filename in os.listdir(save_directory): + if existing_files_regex.match(filename): + try: + logger.debug(f"Removing existing file '{filename}' from folder.") + os.remove(os.path.join(save_directory, filename)) + except Exception as e: + logger.warning( + f"Error when trying to remove existing '{filename}' from folder: {e}. Continuing..." + ) + + # Save each shard + per_file_metadata = {"format": "pt"} + if not state_dict_split.is_sharded: + per_file_metadata.update(metadata) + safe_file_kwargs = {"metadata": per_file_metadata} if safe_serialization else {} + for filename, tensors in state_dict_split.filename_to_tensors.items(): + shard = {tensor: state_dict[tensor] for tensor in tensors} + save_file_fn(shard, os.path.join(save_directory, filename), **safe_file_kwargs) + logger.debug(f"Shard saved to {filename}") + + # Save the index (if any) + if state_dict_split.is_sharded: + index_path = filename_pattern.format(suffix="") + ".index.json" + index = { + "metadata": {**state_dict_split.metadata, **metadata}, + "weight_map": state_dict_split.tensor_to_filename, + } + with open(os.path.join(save_directory, index_path), "w") as f: + json.dump(index, f, indent=2) + logger.info( + f"The model is bigger than the maximum size per checkpoint ({max_shard_size}). " + f"Model weighs have been saved in {len(state_dict_split.filename_to_tensors)} checkpoint shards. " + f"You can find where each parameters has been saved in the index located at {index_path}." + ) + + logger.info(f"Model weights successfully saved to {save_directory}!") + + +def split_torch_state_dict_into_shards( + state_dict: Dict[str, "torch.Tensor"], + *, + filename_pattern: str = constants.SAFETENSORS_WEIGHTS_FILE_PATTERN, + max_shard_size: Union[int, str] = MAX_SHARD_SIZE, +) -> StateDictSplit: + """ + Split a model state dictionary in shards so that each shard is smaller than a given size. + + The shards are determined by iterating through the `state_dict` in the order of its keys. There is no optimization + made to make each shard as close as possible to the maximum size passed. For example, if the limit is 10GB and we + have tensors of sizes [6GB, 6GB, 2GB, 6GB, 2GB, 2GB] they will get sharded as [6GB], [6+2GB], [6+2+2GB] and not + [6+2+2GB], [6+2GB], [6GB]. + + + + + To save a model state dictionary to the disk, see [`save_torch_state_dict`]. This helper uses + `split_torch_state_dict_into_shards` under the hood. + + + + + + If one of the model's tensor is bigger than `max_shard_size`, it will end up in its own shard which will have a + size greater than `max_shard_size`. + + + + Args: + state_dict (`Dict[str, torch.Tensor]`): + The state dictionary to save. + filename_pattern (`str`, *optional*): + The pattern to generate the files names in which the model will be saved. Pattern must be a string that + can be formatted with `filename_pattern.format(suffix=...)` and must contain the keyword `suffix` + Defaults to `"model{suffix}.safetensors"`. + max_shard_size (`int` or `str`, *optional*): + The maximum size of each shard, in bytes. Defaults to 5GB. + + Returns: + [`StateDictSplit`]: A `StateDictSplit` object containing the shards and the index to retrieve them. + + Example: + ```py + >>> import json + >>> import os + >>> from safetensors.torch import save_file as safe_save_file + >>> from huggingface_hub import split_torch_state_dict_into_shards + + >>> def save_state_dict(state_dict: Dict[str, torch.Tensor], save_directory: str): + ... state_dict_split = split_torch_state_dict_into_shards(state_dict) + ... for filename, tensors in state_dict_split.filename_to_tensors.items(): + ... shard = {tensor: state_dict[tensor] for tensor in tensors} + ... safe_save_file( + ... shard, + ... os.path.join(save_directory, filename), + ... metadata={"format": "pt"}, + ... ) + ... if state_dict_split.is_sharded: + ... index = { + ... "metadata": state_dict_split.metadata, + ... "weight_map": state_dict_split.tensor_to_filename, + ... } + ... with open(os.path.join(save_directory, "model.safetensors.index.json"), "w") as f: + ... f.write(json.dumps(index, indent=2)) + ``` + """ + return split_state_dict_into_shards_factory( + state_dict, + max_shard_size=max_shard_size, + filename_pattern=filename_pattern, + get_storage_size=get_torch_storage_size, + get_storage_id=get_torch_storage_id, + ) + + +# LOADING + + +def load_torch_model( + model: "torch.nn.Module", + checkpoint_path: Union[str, os.PathLike], + *, + strict: bool = False, + safe: bool = True, + weights_only: bool = False, + map_location: Optional[Union[str, "torch.device"]] = None, + mmap: bool = False, + filename_pattern: Optional[str] = None, +) -> NamedTuple: + """ + Load a checkpoint into a model, handling both sharded and non-sharded checkpoints. + + Args: + model (`torch.nn.Module`): + The model in which to load the checkpoint. + checkpoint_path (`str` or `os.PathLike`): + Path to either the checkpoint file or directory containing the checkpoint(s). + strict (`bool`, *optional*, defaults to `False`): + Whether to strictly enforce that the keys in the model state dict match the keys in the checkpoint. + safe (`bool`, *optional*, defaults to `True`): + If `safe` is True, the safetensors files will be loaded. If `safe` is False, the function + will first attempt to load safetensors files if they are available, otherwise it will fall back to loading + pickle files. `filename_pattern` parameter takes precedence over `safe` parameter. + weights_only (`bool`, *optional*, defaults to `False`): + If True, only loads the model weights without optimizer states and other metadata. + Only supported in PyTorch >= 1.13. + map_location (`str` or `torch.device`, *optional*): + A `torch.device` object, string or a dict specifying how to remap storage locations. It + indicates the location where all tensors should be loaded. + mmap (`bool`, *optional*, defaults to `False`): + Whether to use memory-mapped file loading. Memory mapping can improve loading performance + for large models in PyTorch >= 2.1.0 with zipfile-based checkpoints. + filename_pattern (`str`, *optional*): + The pattern to look for the index file. Pattern must be a string that + can be formatted with `filename_pattern.format(suffix=...)` and must contain the keyword `suffix` + Defaults to `"model{suffix}.safetensors"`. + Returns: + `NamedTuple`: A named tuple with `missing_keys` and `unexpected_keys` fields. + - `missing_keys` is a list of str containing the missing keys, i.e. keys that are in the model but not in the checkpoint. + - `unexpected_keys` is a list of str containing the unexpected keys, i.e. keys that are in the checkpoint but not in the model. + + Raises: + [`FileNotFoundError`](https://docs.python.org/3/library/exceptions.html#FileNotFoundError) + If the checkpoint file or directory does not exist. + [`ImportError`](https://docs.python.org/3/library/exceptions.html#ImportError) + If safetensors or torch is not installed when trying to load a .safetensors file or a PyTorch checkpoint respectively. + [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) + If the checkpoint path is invalid or if the checkpoint format cannot be determined. + + Example: + ```python + >>> from huggingface_hub import load_torch_model + >>> model = ... # A PyTorch model + >>> load_torch_model(model, "path/to/checkpoint") + ``` + """ + checkpoint_path = Path(checkpoint_path) + + if not checkpoint_path.exists(): + raise ValueError(f"Checkpoint path {checkpoint_path} does not exist") + # 1. Check if checkpoint is a single file + if checkpoint_path.is_file(): + state_dict = load_state_dict_from_file( + checkpoint_file=checkpoint_path, + map_location=map_location, + weights_only=weights_only, + ) + return model.load_state_dict(state_dict, strict=strict) + + # 2. If not, checkpoint_path is a directory + if filename_pattern is None: + filename_pattern = constants.SAFETENSORS_WEIGHTS_FILE_PATTERN + index_path = checkpoint_path / (filename_pattern.format(suffix="") + ".index.json") + # Only fallback to pickle format if safetensors index is not found and safe is False. + if not index_path.is_file() and not safe: + filename_pattern = constants.PYTORCH_WEIGHTS_FILE_PATTERN + + index_path = checkpoint_path / (filename_pattern.format(suffix="") + ".index.json") + + if index_path.is_file(): + return _load_sharded_checkpoint( + model=model, + save_directory=checkpoint_path, + strict=strict, + weights_only=weights_only, + filename_pattern=filename_pattern, + ) + + # Look for single model file + model_files = list(checkpoint_path.glob("*.safetensors" if safe else "*.bin")) + if len(model_files) == 1: + state_dict = load_state_dict_from_file( + checkpoint_file=model_files[0], + map_location=map_location, + weights_only=weights_only, + mmap=mmap, + ) + return model.load_state_dict(state_dict, strict=strict) + + raise ValueError( + f"Directory '{checkpoint_path}' does not contain a valid checkpoint. " + "Expected either a sharded checkpoint with an index file, or a single model file." + ) + + +def _load_sharded_checkpoint( + model: "torch.nn.Module", + save_directory: os.PathLike, + *, + strict: bool = False, + weights_only: bool = False, + filename_pattern: str = constants.SAFETENSORS_WEIGHTS_FILE_PATTERN, +) -> NamedTuple: + """ + Loads a sharded checkpoint into a model. This is the same as + [`torch.nn.Module.load_state_dict`](https://pytorch.org/docs/stable/generated/torch.nn.Module.html?highlight=load_state_dict#torch.nn.Module.load_state_dict) + but for a sharded checkpoint. Each shard is loaded one by one and removed from memory after being loaded into the model. + + Args: + model (`torch.nn.Module`): + The model in which to load the checkpoint. + save_directory (`str` or `os.PathLike`): + A path to a folder containing the sharded checkpoint. + strict (`bool`, *optional*, defaults to `False`): + Whether to strictly enforce that the keys in the model state dict match the keys in the sharded checkpoint. + weights_only (`bool`, *optional*, defaults to `False`): + If True, only loads the model weights without optimizer states and other metadata. + Only supported in PyTorch >= 1.13. + filename_pattern (`str`, *optional*, defaults to `"model{suffix}.safetensors"`): + The pattern to look for the index file. Pattern must be a string that + can be formatted with `filename_pattern.format(suffix=...)` and must contain the keyword `suffix` + Defaults to `"model{suffix}.safetensors"`. + + Returns: + `NamedTuple`: A named tuple with `missing_keys` and `unexpected_keys` fields, + - `missing_keys` is a list of str containing the missing keys + - `unexpected_keys` is a list of str containing the unexpected keys + """ + + # 1. Load and validate index file + # The index file contains mapping of parameter names to shard files + index_path = filename_pattern.format(suffix="") + ".index.json" + index_file = os.path.join(save_directory, index_path) + with open(index_file, "r", encoding="utf-8") as f: + index = json.load(f) + + # 2. Validate keys if in strict mode + # This is done before loading any shards to fail fast + if strict: + _validate_keys_for_strict_loading(model, index["weight_map"].keys()) + + # 3. Load each shard using `load_state_dict` + # Get unique shard files (multiple parameters can be in same shard) + shard_files = list(set(index["weight_map"].values())) + for shard_file in shard_files: + # Load shard into memory + shard_path = os.path.join(save_directory, shard_file) + state_dict = load_state_dict_from_file( + shard_path, + map_location="cpu", + weights_only=weights_only, + ) + # Update model with parameters from this shard + model.load_state_dict(state_dict, strict=strict) + # Explicitly remove the state dict from memory + del state_dict + + # 4. Return compatibility info + loaded_keys = set(index["weight_map"].keys()) + model_keys = set(model.state_dict().keys()) + return _IncompatibleKeys( + missing_keys=list(model_keys - loaded_keys), unexpected_keys=list(loaded_keys - model_keys) + ) + + +def load_state_dict_from_file( + checkpoint_file: Union[str, os.PathLike], + map_location: Optional[Union[str, "torch.device"]] = None, + weights_only: bool = False, + mmap: bool = False, +) -> Union[Dict[str, "torch.Tensor"], Any]: + """ + Loads a checkpoint file, handling both safetensors and pickle checkpoint formats. + + Args: + checkpoint_file (`str` or `os.PathLike`): + Path to the checkpoint file to load. Can be either a safetensors or pickle (`.bin`) checkpoint. + map_location (`str` or `torch.device`, *optional*): + A `torch.device` object, string or a dict specifying how to remap storage locations. It + indicates the location where all tensors should be loaded. + weights_only (`bool`, *optional*, defaults to `False`): + If True, only loads the model weights without optimizer states and other metadata. + Only supported for pickle (`.bin`) checkpoints with PyTorch >= 1.13. Has no effect when + loading safetensors files. + mmap (`bool`, *optional*, defaults to `False`): + Whether to use memory-mapped file loading. Memory mapping can improve loading performance + for large models in PyTorch >= 2.1.0 with zipfile-based checkpoints. Has no effect when + loading safetensors files, as the `safetensors` library uses memory mapping by default. + + Returns: + `Union[Dict[str, "torch.Tensor"], Any]`: The loaded checkpoint. + - For safetensors files: always returns a dictionary mapping parameter names to tensors. + - For pickle files: returns any Python object that was pickled (commonly a state dict, but could be + an entire model, optimizer state, or any other Python object). + + Raises: + [`FileNotFoundError`](https://docs.python.org/3/library/exceptions.html#FileNotFoundError) + If the checkpoint file does not exist. + [`ImportError`](https://docs.python.org/3/library/exceptions.html#ImportError) + If safetensors or torch is not installed when trying to load a .safetensors file or a PyTorch checkpoint respectively. + [`OSError`](https://docs.python.org/3/library/exceptions.html#OSError) + If the checkpoint file format is invalid or if git-lfs files are not properly downloaded. + [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) + If the checkpoint file path is empty or invalid. + + Example: + ```python + >>> from huggingface_hub import load_state_dict_from_file + + # Load a PyTorch checkpoint + >>> state_dict = load_state_dict_from_file("path/to/model.bin", map_location="cpu") + >>> model.load_state_dict(state_dict) + + # Load a safetensors checkpoint + >>> state_dict = load_state_dict_from_file("path/to/model.safetensors") + >>> model.load_state_dict(state_dict) + ``` + """ + checkpoint_path = Path(checkpoint_file) + + # Check if file exists and is a regular file (not a directory) + if not checkpoint_path.is_file(): + raise FileNotFoundError( + f"No checkpoint file found at '{checkpoint_path}'. Please verify the path is correct and " + "the file has been properly downloaded." + ) + + # Load safetensors checkpoint + if checkpoint_path.suffix == ".safetensors": + try: + from safetensors import safe_open + from safetensors.torch import load_file + except ImportError as e: + raise ImportError( + "Please install `safetensors` to load safetensors checkpoint. " + "You can install it with `pip install safetensors`." + ) from e + + # Check format of the archive + with safe_open(checkpoint_file, framework="pt") as f: # type: ignore[attr-defined] + metadata = f.metadata() + # see comment: https://github.com/huggingface/transformers/blob/3d213b57fe74302e5902d68ed9478c3ad1aaa713/src/transformers/modeling_utils.py#L3966 + if metadata is not None and metadata.get("format") not in ["pt", "mlx"]: + raise OSError( + f"The safetensors archive passed at {checkpoint_file} does not contain the valid metadata. Make sure " + "you save your model with the `save_torch_model` method." + ) + device = str(map_location.type) if map_location is not None and hasattr(map_location, "type") else map_location + # meta device is not supported with safetensors, falling back to CPU + if device == "meta": + logger.warning("Meta device is not supported with safetensors. Falling back to CPU device.") + device = "cpu" + return load_file(checkpoint_file, device=device) # type: ignore[arg-type] + # Otherwise, load from pickle + try: + import torch + from torch import load + except ImportError as e: + raise ImportError( + "Please install `torch` to load torch tensors. You can install it with `pip install torch`." + ) from e + # Add additional kwargs, mmap is only supported in torch >= 2.1.0 + additional_kwargs = {} + if version.parse(torch.__version__) >= version.parse("2.1.0"): + additional_kwargs["mmap"] = mmap + + # weights_only is only supported in torch >= 1.13.0 + if version.parse(torch.__version__) >= version.parse("1.13.0"): + additional_kwargs["weights_only"] = weights_only + + return load( + checkpoint_file, + map_location=map_location, + **additional_kwargs, + ) + + +# HELPERS + + +def _validate_keys_for_strict_loading( + model: "torch.nn.Module", + loaded_keys: Iterable[str], +) -> None: + """ + Validate that model keys match loaded keys when strict loading is enabled. + + Args: + model: The PyTorch model being loaded + loaded_keys: The keys present in the checkpoint + + Raises: + RuntimeError: If there are missing or unexpected keys in strict mode + """ + loaded_keys_set = set(loaded_keys) + model_keys = set(model.state_dict().keys()) + missing_keys = model_keys - loaded_keys_set # Keys in model but not in checkpoint + unexpected_keys = loaded_keys_set - model_keys # Keys in checkpoint but not in model + + if missing_keys or unexpected_keys: + error_message = f"Error(s) in loading state_dict for {model.__class__.__name__}" + if missing_keys: + str_missing_keys = ",".join([f'"{k}"' for k in sorted(missing_keys)]) + error_message += f"\nMissing key(s): {str_missing_keys}." + if unexpected_keys: + str_unexpected_keys = ",".join([f'"{k}"' for k in sorted(unexpected_keys)]) + error_message += f"\nUnexpected key(s): {str_unexpected_keys}." + raise RuntimeError(error_message) + + +def _get_unique_id(tensor: "torch.Tensor") -> Union[int, Tuple[Any, ...]]: + """Returns a unique id for plain tensor + or a (potentially nested) Tuple of unique id for the flattened Tensor + if the input is a wrapper tensor subclass Tensor + """ + + try: + from torch.distributed.tensor import DTensor + + if isinstance(tensor, DTensor): + local_tensor = tensor.to_local() + return local_tensor.storage().data_ptr() + except ImportError: + pass + + try: + # for torch 2.1 and above we can also handle tensor subclasses + from torch.utils._python_dispatch import is_traceable_wrapper_subclass + + if is_traceable_wrapper_subclass(tensor): + attrs, _ = tensor.__tensor_flatten__() # type: ignore[attr-defined] + return tuple(_get_unique_id(getattr(tensor, attr)) for attr in attrs) + + except ImportError: + # for torch version less than 2.1, we can fallback to original implementation + pass + + if tensor.device.type == "xla" and is_torch_tpu_available(): + # NOTE: xla tensors dont have storage + # use some other unique id to distinguish. + # this is a XLA tensor, it must be created using torch_xla's + # device. So the following import is safe: + import torch_xla # type: ignore[import] + + unique_id = torch_xla._XLAC._xla_get_tensor_id(tensor) + else: + unique_id = storage_ptr(tensor) + + return unique_id + + +def get_torch_storage_id(tensor: "torch.Tensor") -> Optional[Tuple["torch.device", Union[int, Tuple[Any, ...]], int]]: + """ + Return unique identifier to a tensor storage. + + Multiple different tensors can share the same underlying storage. This identifier is + guaranteed to be unique and constant for this tensor's storage during its lifetime. Two tensor storages with + non-overlapping lifetimes may have the same id. + In the case of meta tensors, we return None since we can't tell if they share the same storage. + + Taken from https://github.com/huggingface/transformers/blob/1ecf5f7c982d761b4daaa96719d162c324187c64/src/transformers/pytorch_utils.py#L278. + """ + if tensor.device.type == "meta": + return None + else: + return tensor.device, _get_unique_id(tensor), get_torch_storage_size(tensor) + + +def get_torch_storage_size(tensor: "torch.Tensor") -> int: + """ + Taken from https://github.com/huggingface/safetensors/blob/08db34094e9e59e2f9218f2df133b7b4aaff5a99/bindings/python/py_src/safetensors/torch.py#L31C1-L41C59 + """ + try: + from torch.distributed.tensor import DTensor + + if isinstance(tensor, DTensor): + # this returns the size of the FULL tensor in bytes + return tensor.nbytes + except ImportError: + pass + + try: + # for torch 2.1 and above we can also handle tensor subclasses + from torch.utils._python_dispatch import is_traceable_wrapper_subclass + + if is_traceable_wrapper_subclass(tensor): + attrs, _ = tensor.__tensor_flatten__() # type: ignore[attr-defined] + return sum(get_torch_storage_size(getattr(tensor, attr)) for attr in attrs) + except ImportError: + # for torch version less than 2.1, we can fallback to original implementation + pass + + try: + return tensor.untyped_storage().nbytes() + except AttributeError: + # Fallback for torch==1.10 + try: + return tensor.storage().size() * _get_dtype_size(tensor.dtype) + except NotImplementedError: + # Fallback for meta storage + # On torch >=2.0 this is the tensor size + return tensor.nelement() * _get_dtype_size(tensor.dtype) + + +@lru_cache() +def is_torch_tpu_available(check_device=True): + """ + Checks if `torch_xla` is installed and potentially if a TPU is in the environment + + Taken from https://github.com/huggingface/transformers/blob/1ecf5f7c982d761b4daaa96719d162c324187c64/src/transformers/utils/import_utils.py#L463. + """ + if importlib.util.find_spec("torch_xla") is not None: + if check_device: + # We need to check if `xla_device` can be found, will raise a RuntimeError if not + try: + import torch_xla.core.xla_model as xm # type: ignore[import] + + _ = xm.xla_device() + return True + except RuntimeError: + return False + return True + return False + + +def storage_ptr(tensor: "torch.Tensor") -> Union[int, Tuple[Any, ...]]: + """ + Taken from https://github.com/huggingface/safetensors/blob/079781fd0dc455ba0fe851e2b4507c33d0c0d407/bindings/python/py_src/safetensors/torch.py#L11. + """ + try: + # for torch 2.1 and above we can also handle tensor subclasses + from torch.utils._python_dispatch import is_traceable_wrapper_subclass + + if is_traceable_wrapper_subclass(tensor): + return _get_unique_id(tensor) # type: ignore + except ImportError: + # for torch version less than 2.1, we can fallback to original implementation + pass + + try: + return tensor.untyped_storage().data_ptr() + except Exception: + # Fallback for torch==1.10 + try: + return tensor.storage().data_ptr() + except NotImplementedError: + # Fallback for meta storage + return 0 + + +def _clean_state_dict_for_safetensors( + state_dict: Dict[str, "torch.Tensor"], + metadata: Dict[str, str], + force_contiguous: bool = True, + shared_tensors_to_discard: Optional[List[str]] = None, +): + """Remove shared tensors from state_dict and update metadata accordingly (for reloading). + + Warning: `state_dict` and `metadata` are mutated in-place! + + Taken from https://github.com/huggingface/safetensors/blob/079781fd0dc455ba0fe851e2b4507c33d0c0d407/bindings/python/py_src/safetensors/torch.py#L155. + """ + to_removes = _remove_duplicate_names(state_dict, discard_names=shared_tensors_to_discard) + for kept_name, to_remove_group in to_removes.items(): + for to_remove in to_remove_group: + if metadata is None: + metadata = {} + + if to_remove not in metadata: + # Do not override user data + metadata[to_remove] = kept_name + del state_dict[to_remove] + if force_contiguous: + state_dict = {k: v.contiguous() for k, v in state_dict.items()} + return state_dict + + +def _end_ptr(tensor: "torch.Tensor") -> int: + """ + Taken from https://github.com/huggingface/safetensors/blob/079781fd0dc455ba0fe851e2b4507c33d0c0d407/bindings/python/py_src/safetensors/torch.py#L23. + """ + if tensor.nelement(): + stop = tensor.view(-1)[-1].data_ptr() + _get_dtype_size(tensor.dtype) + else: + stop = tensor.data_ptr() + return stop + + +def _filter_shared_not_shared(tensors: List[Set[str]], state_dict: Dict[str, "torch.Tensor"]) -> List[Set[str]]: + """ + Taken from https://github.com/huggingface/safetensors/blob/079781fd0dc455ba0fe851e2b4507c33d0c0d407/bindings/python/py_src/safetensors/torch.py#L44 + """ + filtered_tensors = [] + for shared in tensors: + if len(shared) < 2: + filtered_tensors.append(shared) + continue + + areas = [] + for name in shared: + tensor = state_dict[name] + areas.append((tensor.data_ptr(), _end_ptr(tensor), name)) + areas.sort() + + _, last_stop, last_name = areas[0] + filtered_tensors.append({last_name}) + for start, stop, name in areas[1:]: + if start >= last_stop: + filtered_tensors.append({name}) + else: + filtered_tensors[-1].add(name) + last_stop = stop + + return filtered_tensors + + +def _find_shared_tensors(state_dict: Dict[str, "torch.Tensor"]) -> List[Set[str]]: + """ + Taken from https://github.com/huggingface/safetensors/blob/079781fd0dc455ba0fe851e2b4507c33d0c0d407/bindings/python/py_src/safetensors/torch.py#L69. + """ + import torch + + tensors_dict = defaultdict(set) + for k, v in state_dict.items(): + if v.device != torch.device("meta") and storage_ptr(v) != 0 and get_torch_storage_size(v) != 0: + # Need to add device as key because of multiple GPU. + tensors_dict[(v.device, storage_ptr(v), get_torch_storage_size(v))].add(k) + tensors = list(sorted(tensors_dict.values())) + tensors = _filter_shared_not_shared(tensors, state_dict) + return tensors + + +def _is_complete(tensor: "torch.Tensor") -> bool: + """ + Taken from https://github.com/huggingface/safetensors/blob/079781fd0dc455ba0fe851e2b4507c33d0c0d407/bindings/python/py_src/safetensors/torch.py#L80 + """ + try: + # for torch 2.1 and above we can also handle tensor subclasses + from torch.utils._python_dispatch import is_traceable_wrapper_subclass + + if is_traceable_wrapper_subclass(tensor): + attrs, _ = tensor.__tensor_flatten__() # type: ignore[attr-defined] + return all(_is_complete(getattr(tensor, attr)) for attr in attrs) + except ImportError: + # for torch version less than 2.1, we can fallback to original implementation + pass + + return tensor.data_ptr() == storage_ptr(tensor) and tensor.nelement() * _get_dtype_size( + tensor.dtype + ) == get_torch_storage_size(tensor) + + +def _remove_duplicate_names( + state_dict: Dict[str, "torch.Tensor"], + *, + preferred_names: Optional[List[str]] = None, + discard_names: Optional[List[str]] = None, +) -> Dict[str, List[str]]: + """ + Taken from https://github.com/huggingface/safetensors/blob/079781fd0dc455ba0fe851e2b4507c33d0c0d407/bindings/python/py_src/safetensors/torch.py#L80 + """ + if preferred_names is None: + preferred_names = [] + unique_preferred_names = set(preferred_names) + if discard_names is None: + discard_names = [] + unique_discard_names = set(discard_names) + + shareds = _find_shared_tensors(state_dict) + to_remove = defaultdict(list) + for shared in shareds: + complete_names = set([name for name in shared if _is_complete(state_dict[name])]) + if not complete_names: + raise RuntimeError( + "Error while trying to find names to remove to save state dict, but found no suitable name to keep" + f" for saving amongst: {shared}. None is covering the entire storage. Refusing to save/load the model" + " since you could be storing much more memory than needed. Please refer to" + " https://huggingface.co/docs/safetensors/torch_shared_tensors for more information. Or open an" + " issue." + ) + + keep_name = sorted(list(complete_names))[0] + + # Mechanism to preferentially select keys to keep + # coming from the on-disk file to allow + # loading models saved with a different choice + # of keep_name + preferred = complete_names.difference(unique_discard_names) + if preferred: + keep_name = sorted(list(preferred))[0] + + if unique_preferred_names: + preferred = unique_preferred_names.intersection(complete_names) + if preferred: + keep_name = sorted(list(preferred))[0] + for name in sorted(shared): + if name != keep_name: + to_remove[keep_name].append(name) + return to_remove + + +@lru_cache() +def _get_dtype_size(dtype: "torch.dtype") -> int: + """ + Taken from https://github.com/huggingface/safetensors/blob/08db34094e9e59e2f9218f2df133b7b4aaff5a99/bindings/python/py_src/safetensors/torch.py#L344 + """ + import torch + + # torch.float8 formats require 2.1; we do not support these dtypes on earlier versions + _float8_e4m3fn = getattr(torch, "float8_e4m3fn", None) + _float8_e5m2 = getattr(torch, "float8_e5m2", None) + _SIZE = { + torch.int64: 8, + torch.float32: 4, + torch.int32: 4, + torch.bfloat16: 2, + torch.float16: 2, + torch.int16: 2, + torch.uint8: 1, + torch.int8: 1, + torch.bool: 1, + torch.float64: 8, + _float8_e4m3fn: 1, + _float8_e5m2: 1, + } + return _SIZE[dtype] + + +class _IncompatibleKeys(namedtuple("IncompatibleKeys", ["missing_keys", "unexpected_keys"])): + """ + This is used to report missing and unexpected keys in the state dict. + Taken from https://github.com/pytorch/pytorch/blob/main/torch/nn/modules/module.py#L52. + + """ + + def __repr__(self) -> str: + if not self.missing_keys and not self.unexpected_keys: + return "" + return super().__repr__() + + __str__ = __repr__ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/templates/datasetcard_template.md b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/templates/datasetcard_template.md new file mode 100644 index 0000000000000000000000000000000000000000..9af29ebbed93653ec74a8952e314e7554323ef15 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/templates/datasetcard_template.md @@ -0,0 +1,143 @@ +--- +# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1 +# Doc / guide: https://huggingface.co/docs/hub/datasets-cards +{{ card_data }} +--- + +# Dataset Card for {{ pretty_name | default("Dataset Name", true) }} + + + +{{ dataset_summary | default("", true) }} + +## Dataset Details + +### Dataset Description + + + +{{ dataset_description | default("", true) }} + +- **Curated by:** {{ curators | default("[More Information Needed]", true)}} +- **Funded by [optional]:** {{ funded_by | default("[More Information Needed]", true)}} +- **Shared by [optional]:** {{ shared_by | default("[More Information Needed]", true)}} +- **Language(s) (NLP):** {{ language | default("[More Information Needed]", true)}} +- **License:** {{ license | default("[More Information Needed]", true)}} + +### Dataset Sources [optional] + + + +- **Repository:** {{ repo | default("[More Information Needed]", true)}} +- **Paper [optional]:** {{ paper | default("[More Information Needed]", true)}} +- **Demo [optional]:** {{ demo | default("[More Information Needed]", true)}} + +## Uses + + + +### Direct Use + + + +{{ direct_use | default("[More Information Needed]", true)}} + +### Out-of-Scope Use + + + +{{ out_of_scope_use | default("[More Information Needed]", true)}} + +## Dataset Structure + + + +{{ dataset_structure | default("[More Information Needed]", true)}} + +## Dataset Creation + +### Curation Rationale + + + +{{ curation_rationale_section | default("[More Information Needed]", true)}} + +### Source Data + + + +#### Data Collection and Processing + + + +{{ data_collection_and_processing_section | default("[More Information Needed]", true)}} + +#### Who are the source data producers? + + + +{{ source_data_producers_section | default("[More Information Needed]", true)}} + +### Annotations [optional] + + + +#### Annotation process + + + +{{ annotation_process_section | default("[More Information Needed]", true)}} + +#### Who are the annotators? + + + +{{ who_are_annotators_section | default("[More Information Needed]", true)}} + +#### Personal and Sensitive Information + + + +{{ personal_and_sensitive_information | default("[More Information Needed]", true)}} + +## Bias, Risks, and Limitations + + + +{{ bias_risks_limitations | default("[More Information Needed]", true)}} + +### Recommendations + + + +{{ bias_recommendations | default("Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.", true)}} + +## Citation [optional] + + + +**BibTeX:** + +{{ citation_bibtex | default("[More Information Needed]", true)}} + +**APA:** + +{{ citation_apa | default("[More Information Needed]", true)}} + +## Glossary [optional] + + + +{{ glossary | default("[More Information Needed]", true)}} + +## More Information [optional] + +{{ more_information | default("[More Information Needed]", true)}} + +## Dataset Card Authors [optional] + +{{ dataset_card_authors | default("[More Information Needed]", true)}} + +## Dataset Card Contact + +{{ dataset_card_contact | default("[More Information Needed]", true)}} diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/templates/modelcard_template.md b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/templates/modelcard_template.md new file mode 100644 index 0000000000000000000000000000000000000000..79ca15e4547debac763b390ef8e4b715e6f6403f --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/templates/modelcard_template.md @@ -0,0 +1,200 @@ +--- +# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1 +# Doc / guide: https://huggingface.co/docs/hub/model-cards +{{ card_data }} +--- + +# Model Card for {{ model_id | default("Model ID", true) }} + + + +{{ model_summary | default("", true) }} + +## Model Details + +### Model Description + + + +{{ model_description | default("", true) }} + +- **Developed by:** {{ developers | default("[More Information Needed]", true)}} +- **Funded by [optional]:** {{ funded_by | default("[More Information Needed]", true)}} +- **Shared by [optional]:** {{ shared_by | default("[More Information Needed]", true)}} +- **Model type:** {{ model_type | default("[More Information Needed]", true)}} +- **Language(s) (NLP):** {{ language | default("[More Information Needed]", true)}} +- **License:** {{ license | default("[More Information Needed]", true)}} +- **Finetuned from model [optional]:** {{ base_model | default("[More Information Needed]", true)}} + +### Model Sources [optional] + + + +- **Repository:** {{ repo | default("[More Information Needed]", true)}} +- **Paper [optional]:** {{ paper | default("[More Information Needed]", true)}} +- **Demo [optional]:** {{ demo | default("[More Information Needed]", true)}} + +## Uses + + + +### Direct Use + + + +{{ direct_use | default("[More Information Needed]", true)}} + +### Downstream Use [optional] + + + +{{ downstream_use | default("[More Information Needed]", true)}} + +### Out-of-Scope Use + + + +{{ out_of_scope_use | default("[More Information Needed]", true)}} + +## Bias, Risks, and Limitations + + + +{{ bias_risks_limitations | default("[More Information Needed]", true)}} + +### Recommendations + + + +{{ bias_recommendations | default("Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.", true)}} + +## How to Get Started with the Model + +Use the code below to get started with the model. + +{{ get_started_code | default("[More Information Needed]", true)}} + +## Training Details + +### Training Data + + + +{{ training_data | default("[More Information Needed]", true)}} + +### Training Procedure + + + +#### Preprocessing [optional] + +{{ preprocessing | default("[More Information Needed]", true)}} + + +#### Training Hyperparameters + +- **Training regime:** {{ training_regime | default("[More Information Needed]", true)}} + +#### Speeds, Sizes, Times [optional] + + + +{{ speeds_sizes_times | default("[More Information Needed]", true)}} + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +{{ testing_data | default("[More Information Needed]", true)}} + +#### Factors + + + +{{ testing_factors | default("[More Information Needed]", true)}} + +#### Metrics + + + +{{ testing_metrics | default("[More Information Needed]", true)}} + +### Results + +{{ results | default("[More Information Needed]", true)}} + +#### Summary + +{{ results_summary | default("", true) }} + +## Model Examination [optional] + + + +{{ model_examination | default("[More Information Needed]", true)}} + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** {{ hardware_type | default("[More Information Needed]", true)}} +- **Hours used:** {{ hours_used | default("[More Information Needed]", true)}} +- **Cloud Provider:** {{ cloud_provider | default("[More Information Needed]", true)}} +- **Compute Region:** {{ cloud_region | default("[More Information Needed]", true)}} +- **Carbon Emitted:** {{ co2_emitted | default("[More Information Needed]", true)}} + +## Technical Specifications [optional] + +### Model Architecture and Objective + +{{ model_specs | default("[More Information Needed]", true)}} + +### Compute Infrastructure + +{{ compute_infrastructure | default("[More Information Needed]", true)}} + +#### Hardware + +{{ hardware_requirements | default("[More Information Needed]", true)}} + +#### Software + +{{ software | default("[More Information Needed]", true)}} + +## Citation [optional] + + + +**BibTeX:** + +{{ citation_bibtex | default("[More Information Needed]", true)}} + +**APA:** + +{{ citation_apa | default("[More Information Needed]", true)}} + +## Glossary [optional] + + + +{{ glossary | default("[More Information Needed]", true)}} + +## More Information [optional] + +{{ more_information | default("[More Information Needed]", true)}} + +## Model Card Authors [optional] + +{{ model_card_authors | default("[More Information Needed]", true)}} + +## Model Card Contact + +{{ model_card_contact | default("[More Information Needed]", true)}} diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..992eac104bd80de97444003172e926d5ad4522a0 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/__init__.py @@ -0,0 +1,117 @@ +# coding=utf-8 +# Copyright 2021 The HuggingFace Inc. team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License + +# ruff: noqa: F401 +from huggingface_hub.errors import ( + BadRequestError, + CacheNotFound, + CorruptedCacheException, + DisabledRepoError, + EntryNotFoundError, + FileMetadataError, + GatedRepoError, + HfHubHTTPError, + HFValidationError, + LocalEntryNotFoundError, + LocalTokenNotFoundError, + NotASafetensorsRepoError, + OfflineModeIsEnabled, + RepositoryNotFoundError, + RevisionNotFoundError, + SafetensorsParsingError, +) + +from . import tqdm as _tqdm # _tqdm is the module +from ._auth import get_stored_tokens, get_token +from ._cache_assets import cached_assets_path +from ._cache_manager import ( + CachedFileInfo, + CachedRepoInfo, + CachedRevisionInfo, + DeleteCacheStrategy, + HFCacheInfo, + scan_cache_dir, +) +from ._chunk_utils import chunk_iterable +from ._datetime import parse_datetime +from ._experimental import experimental +from ._fixes import SoftTemporaryDirectory, WeakFileLock, yaml_dump +from ._git_credential import list_credential_helpers, set_git_credential, unset_git_credential +from ._headers import build_hf_headers, get_token_to_send +from ._hf_folder import HfFolder +from ._http import ( + configure_http_backend, + fix_hf_endpoint_in_url, + get_session, + hf_raise_for_status, + http_backoff, + reset_sessions, +) +from ._pagination import paginate +from ._paths import DEFAULT_IGNORE_PATTERNS, FORBIDDEN_FOLDERS, filter_repo_objects +from ._runtime import ( + dump_environment_info, + get_aiohttp_version, + get_fastai_version, + get_fastapi_version, + get_fastcore_version, + get_gradio_version, + get_graphviz_version, + get_hf_hub_version, + get_hf_transfer_version, + get_jinja_version, + get_numpy_version, + get_pillow_version, + get_pydantic_version, + get_pydot_version, + get_python_version, + get_tensorboard_version, + get_tf_version, + get_torch_version, + is_aiohttp_available, + is_colab_enterprise, + is_fastai_available, + is_fastapi_available, + is_fastcore_available, + is_google_colab, + is_gradio_available, + is_graphviz_available, + is_hf_transfer_available, + is_jinja_available, + is_notebook, + is_numpy_available, + is_package_available, + is_pillow_available, + is_pydantic_available, + is_pydot_available, + is_safetensors_available, + is_tensorboard_available, + is_tf_available, + is_torch_available, +) +from ._safetensors import SafetensorsFileMetadata, SafetensorsRepoMetadata, TensorInfo +from ._subprocess import capture_output, run_interactive_subprocess, run_subprocess +from ._telemetry import send_telemetry +from ._typing import is_jsonable, is_simple_optional_type, unwrap_simple_optional_type +from ._validators import smoothly_deprecate_use_auth_token, validate_hf_hub_args, validate_repo_id +from ._xet import ( + XetConnectionInfo, + XetFileData, + XetTokenType, + fetch_xet_connection_info_from_repo_info, + parse_xet_file_data_from_response, + refresh_xet_connection_info, +) +from .tqdm import are_progress_bars_disabled, disable_progress_bars, enable_progress_bars, tqdm, tqdm_stream_file diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/__pycache__/__init__.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 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All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains an helper to get the token from machine (env variable, secret or config file).""" + +import configparser +import logging +import os +import warnings +from pathlib import Path +from threading import Lock +from typing import Dict, Optional + +from .. import constants +from ._runtime import is_colab_enterprise, is_google_colab + + +_IS_GOOGLE_COLAB_CHECKED = False +_GOOGLE_COLAB_SECRET_LOCK = Lock() +_GOOGLE_COLAB_SECRET: Optional[str] = None + +logger = logging.getLogger(__name__) + + +def get_token() -> Optional[str]: + """ + Get token if user is logged in. + + Note: in most cases, you should use [`huggingface_hub.utils.build_hf_headers`] instead. This method is only useful + if you want to retrieve the token for other purposes than sending an HTTP request. + + Token is retrieved in priority from the `HF_TOKEN` environment variable. Otherwise, we read the token file located + in the Hugging Face home folder. Returns None if user is not logged in. To log in, use [`login`] or + `hf auth login`. + + Returns: + `str` or `None`: The token, `None` if it doesn't exist. + """ + return _get_token_from_google_colab() or _get_token_from_environment() or _get_token_from_file() + + +def _get_token_from_google_colab() -> Optional[str]: + """Get token from Google Colab secrets vault using `google.colab.userdata.get(...)`. + + Token is read from the vault only once per session and then stored in a global variable to avoid re-requesting + access to the vault. + """ + # If it's not a Google Colab or it's Colab Enterprise, fallback to environment variable or token file authentication + if not is_google_colab() or is_colab_enterprise(): + return None + + # `google.colab.userdata` is not thread-safe + # This can lead to a deadlock if multiple threads try to access it at the same time + # (typically when using `snapshot_download`) + # => use a lock + # See https://github.com/huggingface/huggingface_hub/issues/1952 for more details. + with _GOOGLE_COLAB_SECRET_LOCK: + global _GOOGLE_COLAB_SECRET + global _IS_GOOGLE_COLAB_CHECKED + + if _IS_GOOGLE_COLAB_CHECKED: # request access only once + return _GOOGLE_COLAB_SECRET + + try: + from google.colab import userdata # type: ignore + from google.colab.errors import Error as ColabError # type: ignore + except ImportError: + return None + + try: + token = userdata.get("HF_TOKEN") + _GOOGLE_COLAB_SECRET = _clean_token(token) + except userdata.NotebookAccessError: + # Means the user has a secret call `HF_TOKEN` and got a popup "please grand access to HF_TOKEN" and refused it + # => warn user but ignore error => do not re-request access to user + warnings.warn( + "\nAccess to the secret `HF_TOKEN` has not been granted on this notebook." + "\nYou will not be requested again." + "\nPlease restart the session if you want to be prompted again." + ) + _GOOGLE_COLAB_SECRET = None + except userdata.SecretNotFoundError: + # Means the user did not define a `HF_TOKEN` secret => warn + warnings.warn( + "\nThe secret `HF_TOKEN` does not exist in your Colab secrets." + "\nTo authenticate with the Hugging Face Hub, create a token in your settings tab " + "(https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session." + "\nYou will be able to reuse this secret in all of your notebooks." + "\nPlease note that authentication is recommended but still optional to access public models or datasets." + ) + _GOOGLE_COLAB_SECRET = None + except ColabError as e: + # Something happen but we don't know what => recommend to open a GitHub issue + warnings.warn( + f"\nError while fetching `HF_TOKEN` secret value from your vault: '{str(e)}'." + "\nYou are not authenticated with the Hugging Face Hub in this notebook." + "\nIf the error persists, please let us know by opening an issue on GitHub " + "(https://github.com/huggingface/huggingface_hub/issues/new)." + ) + _GOOGLE_COLAB_SECRET = None + + _IS_GOOGLE_COLAB_CHECKED = True + return _GOOGLE_COLAB_SECRET + + +def _get_token_from_environment() -> Optional[str]: + # `HF_TOKEN` has priority (keep `HUGGING_FACE_HUB_TOKEN` for backward compatibility) + return _clean_token(os.environ.get("HF_TOKEN") or os.environ.get("HUGGING_FACE_HUB_TOKEN")) + + +def _get_token_from_file() -> Optional[str]: + try: + return _clean_token(Path(constants.HF_TOKEN_PATH).read_text()) + except FileNotFoundError: + return None + + +def get_stored_tokens() -> Dict[str, str]: + """ + Returns the parsed INI file containing the access tokens. + The file is located at `HF_STORED_TOKENS_PATH`, defaulting to `~/.cache/huggingface/stored_tokens`. + If the file does not exist, an empty dictionary is returned. + + Returns: `Dict[str, str]` + Key is the token name and value is the token. + """ + tokens_path = Path(constants.HF_STORED_TOKENS_PATH) + if not tokens_path.exists(): + stored_tokens = {} + config = configparser.ConfigParser() + try: + config.read(tokens_path) + stored_tokens = {token_name: config.get(token_name, "hf_token") for token_name in config.sections()} + except configparser.Error as e: + logger.error(f"Error parsing stored tokens file: {e}") + stored_tokens = {} + return stored_tokens + + +def _save_stored_tokens(stored_tokens: Dict[str, str]) -> None: + """ + Saves the given configuration to the stored tokens file. + + Args: + stored_tokens (`Dict[str, str]`): + The stored tokens to save. Key is the token name and value is the token. + """ + stored_tokens_path = Path(constants.HF_STORED_TOKENS_PATH) + + # Write the stored tokens into an INI file + config = configparser.ConfigParser() + for token_name in sorted(stored_tokens.keys()): + config.add_section(token_name) + config.set(token_name, "hf_token", stored_tokens[token_name]) + + stored_tokens_path.parent.mkdir(parents=True, exist_ok=True) + with stored_tokens_path.open("w") as config_file: + config.write(config_file) + + +def _get_token_by_name(token_name: str) -> Optional[str]: + """ + Get the token by name. + + Args: + token_name (`str`): + The name of the token to get. + + Returns: + `str` or `None`: The token, `None` if it doesn't exist. + + """ + stored_tokens = get_stored_tokens() + if token_name not in stored_tokens: + return None + return _clean_token(stored_tokens[token_name]) + + +def _save_token(token: str, token_name: str) -> None: + """ + Save the given token. + + If the stored tokens file does not exist, it will be created. + Args: + token (`str`): + The token to save. + token_name (`str`): + The name of the token. + """ + tokens_path = Path(constants.HF_STORED_TOKENS_PATH) + stored_tokens = get_stored_tokens() + stored_tokens[token_name] = token + _save_stored_tokens(stored_tokens) + logger.info(f"The token `{token_name}` has been saved to {tokens_path}") + + +def _clean_token(token: Optional[str]) -> Optional[str]: + """Clean token by removing trailing and leading spaces and newlines. + + If token is an empty string, return None. + """ + if token is None: + return None + return token.replace("\r", "").replace("\n", "").strip() or None diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_cache_assets.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_cache_assets.py new file mode 100644 index 0000000000000000000000000000000000000000..e5d435df9b0bb0c67c0bcb5ef65711e9aef367f6 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_cache_assets.py @@ -0,0 +1,135 @@ +# coding=utf-8 +# Copyright 2019-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from pathlib import Path +from typing import Union + +from ..constants import HF_ASSETS_CACHE + + +def cached_assets_path( + library_name: str, + namespace: str = "default", + subfolder: str = "default", + *, + assets_dir: Union[str, Path, None] = None, +): + """Return a folder path to cache arbitrary files. + + `huggingface_hub` provides a canonical folder path to store assets. This is the + recommended way to integrate cache in a downstream library as it will benefit from + the builtins tools to scan and delete the cache properly. + + The distinction is made between files cached from the Hub and assets. Files from the + Hub are cached in a git-aware manner and entirely managed by `huggingface_hub`. See + [related documentation](https://huggingface.co/docs/huggingface_hub/how-to-cache). + All other files that a downstream library caches are considered to be "assets" + (files downloaded from external sources, extracted from a .tar archive, preprocessed + for training,...). + + Once the folder path is generated, it is guaranteed to exist and to be a directory. + The path is based on 3 levels of depth: the library name, a namespace and a + subfolder. Those 3 levels grants flexibility while allowing `huggingface_hub` to + expect folders when scanning/deleting parts of the assets cache. Within a library, + it is expected that all namespaces share the same subset of subfolder names but this + is not a mandatory rule. The downstream library has then full control on which file + structure to adopt within its cache. Namespace and subfolder are optional (would + default to a `"default/"` subfolder) but library name is mandatory as we want every + downstream library to manage its own cache. + + Expected tree: + ```text + assets/ + └── datasets/ + │ ├── SQuAD/ + │ │ ├── downloaded/ + │ │ ├── extracted/ + │ │ └── processed/ + │ ├── Helsinki-NLP--tatoeba_mt/ + │ ├── downloaded/ + │ ├── extracted/ + │ └── processed/ + └── transformers/ + ├── default/ + │ ├── something/ + ├── bert-base-cased/ + │ ├── default/ + │ └── training/ + hub/ + └── models--julien-c--EsperBERTo-small/ + ├── blobs/ + │ ├── (...) + │ ├── (...) + ├── refs/ + │ └── (...) + └── [ 128] snapshots/ + ├── 2439f60ef33a0d46d85da5001d52aeda5b00ce9f/ + │ ├── (...) + └── bbc77c8132af1cc5cf678da3f1ddf2de43606d48/ + └── (...) + ``` + + + Args: + library_name (`str`): + Name of the library that will manage the cache folder. Example: `"dataset"`. + namespace (`str`, *optional*, defaults to "default"): + Namespace to which the data belongs. Example: `"SQuAD"`. + subfolder (`str`, *optional*, defaults to "default"): + Subfolder in which the data will be stored. Example: `extracted`. + assets_dir (`str`, `Path`, *optional*): + Path to the folder where assets are cached. This must not be the same folder + where Hub files are cached. Defaults to `HF_HOME / "assets"` if not provided. + Can also be set with `HF_ASSETS_CACHE` environment variable. + + Returns: + Path to the cache folder (`Path`). + + Example: + ```py + >>> from huggingface_hub import cached_assets_path + + >>> cached_assets_path(library_name="datasets", namespace="SQuAD", subfolder="download") + PosixPath('/home/wauplin/.cache/huggingface/extra/datasets/SQuAD/download') + + >>> cached_assets_path(library_name="datasets", namespace="SQuAD", subfolder="extracted") + PosixPath('/home/wauplin/.cache/huggingface/extra/datasets/SQuAD/extracted') + + >>> cached_assets_path(library_name="datasets", namespace="Helsinki-NLP/tatoeba_mt") + PosixPath('/home/wauplin/.cache/huggingface/extra/datasets/Helsinki-NLP--tatoeba_mt/default') + + >>> cached_assets_path(library_name="datasets", assets_dir="/tmp/tmp123456") + PosixPath('/tmp/tmp123456/datasets/default/default') + ``` + """ + # Resolve assets_dir + if assets_dir is None: + assets_dir = HF_ASSETS_CACHE + assets_dir = Path(assets_dir).expanduser().resolve() + + # Avoid names that could create path issues + for part in (" ", "/", "\\"): + library_name = library_name.replace(part, "--") + namespace = namespace.replace(part, "--") + subfolder = subfolder.replace(part, "--") + + # Path to subfolder is created + path = assets_dir / library_name / namespace / subfolder + try: + path.mkdir(exist_ok=True, parents=True) + except (FileExistsError, NotADirectoryError): + raise ValueError(f"Corrupted assets folder: cannot create directory because of an existing file ({path}).") + + # Return + return path diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_cache_manager.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_cache_manager.py new file mode 100644 index 0000000000000000000000000000000000000000..311e164a4fea0ea323a00915fb2bf7f930e14de1 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_cache_manager.py @@ -0,0 +1,896 @@ +# coding=utf-8 +# Copyright 2022-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains utilities to manage the HF cache directory.""" + +import os +import shutil +import time +from collections import defaultdict +from dataclasses import dataclass +from pathlib import Path +from typing import Dict, FrozenSet, List, Literal, Optional, Set, Union + +from huggingface_hub.errors import CacheNotFound, CorruptedCacheException + +from ..commands._cli_utils import tabulate +from ..constants import HF_HUB_CACHE +from . import logging + + +logger = logging.get_logger(__name__) + +REPO_TYPE_T = Literal["model", "dataset", "space"] + +# List of OS-created helper files that need to be ignored +FILES_TO_IGNORE = [".DS_Store"] + + +@dataclass(frozen=True) +class CachedFileInfo: + """Frozen data structure holding information about a single cached file. + + Args: + file_name (`str`): + Name of the file. Example: `config.json`. + file_path (`Path`): + Path of the file in the `snapshots` directory. The file path is a symlink + referring to a blob in the `blobs` folder. + blob_path (`Path`): + Path of the blob file. This is equivalent to `file_path.resolve()`. + size_on_disk (`int`): + Size of the blob file in bytes. + blob_last_accessed (`float`): + Timestamp of the last time the blob file has been accessed (from any + revision). + blob_last_modified (`float`): + Timestamp of the last time the blob file has been modified/created. + + + + `blob_last_accessed` and `blob_last_modified` reliability can depend on the OS you + are using. See [python documentation](https://docs.python.org/3/library/os.html#os.stat_result) + for more details. + + + """ + + file_name: str + file_path: Path + blob_path: Path + size_on_disk: int + + blob_last_accessed: float + blob_last_modified: float + + @property + def blob_last_accessed_str(self) -> str: + """ + (property) Timestamp of the last time the blob file has been accessed (from any + revision), returned as a human-readable string. + + Example: "2 weeks ago". + """ + return _format_timesince(self.blob_last_accessed) + + @property + def blob_last_modified_str(self) -> str: + """ + (property) Timestamp of the last time the blob file has been modified, returned + as a human-readable string. + + Example: "2 weeks ago". + """ + return _format_timesince(self.blob_last_modified) + + @property + def size_on_disk_str(self) -> str: + """ + (property) Size of the blob file as a human-readable string. + + Example: "42.2K". + """ + return _format_size(self.size_on_disk) + + +@dataclass(frozen=True) +class CachedRevisionInfo: + """Frozen data structure holding information about a revision. + + A revision correspond to a folder in the `snapshots` folder and is populated with + the exact tree structure as the repo on the Hub but contains only symlinks. A + revision can be either referenced by 1 or more `refs` or be "detached" (no refs). + + Args: + commit_hash (`str`): + Hash of the revision (unique). + Example: `"9338f7b671827df886678df2bdd7cc7b4f36dffd"`. + snapshot_path (`Path`): + Path to the revision directory in the `snapshots` folder. It contains the + exact tree structure as the repo on the Hub. + files: (`FrozenSet[CachedFileInfo]`): + Set of [`~CachedFileInfo`] describing all files contained in the snapshot. + refs (`FrozenSet[str]`): + Set of `refs` pointing to this revision. If the revision has no `refs`, it + is considered detached. + Example: `{"main", "2.4.0"}` or `{"refs/pr/1"}`. + size_on_disk (`int`): + Sum of the blob file sizes that are symlink-ed by the revision. + last_modified (`float`): + Timestamp of the last time the revision has been created/modified. + + + + `last_accessed` cannot be determined correctly on a single revision as blob files + are shared across revisions. + + + + + + `size_on_disk` is not necessarily the sum of all file sizes because of possible + duplicated files. Besides, only blobs are taken into account, not the (negligible) + size of folders and symlinks. + + + """ + + commit_hash: str + snapshot_path: Path + size_on_disk: int + files: FrozenSet[CachedFileInfo] + refs: FrozenSet[str] + + last_modified: float + + @property + def last_modified_str(self) -> str: + """ + (property) Timestamp of the last time the revision has been modified, returned + as a human-readable string. + + Example: "2 weeks ago". + """ + return _format_timesince(self.last_modified) + + @property + def size_on_disk_str(self) -> str: + """ + (property) Sum of the blob file sizes as a human-readable string. + + Example: "42.2K". + """ + return _format_size(self.size_on_disk) + + @property + def nb_files(self) -> int: + """ + (property) Total number of files in the revision. + """ + return len(self.files) + + +@dataclass(frozen=True) +class CachedRepoInfo: + """Frozen data structure holding information about a cached repository. + + Args: + repo_id (`str`): + Repo id of the repo on the Hub. Example: `"google/fleurs"`. + repo_type (`Literal["dataset", "model", "space"]`): + Type of the cached repo. + repo_path (`Path`): + Local path to the cached repo. + size_on_disk (`int`): + Sum of the blob file sizes in the cached repo. + nb_files (`int`): + Total number of blob files in the cached repo. + revisions (`FrozenSet[CachedRevisionInfo]`): + Set of [`~CachedRevisionInfo`] describing all revisions cached in the repo. + last_accessed (`float`): + Timestamp of the last time a blob file of the repo has been accessed. + last_modified (`float`): + Timestamp of the last time a blob file of the repo has been modified/created. + + + + `size_on_disk` is not necessarily the sum of all revisions sizes because of + duplicated files. Besides, only blobs are taken into account, not the (negligible) + size of folders and symlinks. + + + + + + `last_accessed` and `last_modified` reliability can depend on the OS you are using. + See [python documentation](https://docs.python.org/3/library/os.html#os.stat_result) + for more details. + + + """ + + repo_id: str + repo_type: REPO_TYPE_T + repo_path: Path + size_on_disk: int + nb_files: int + revisions: FrozenSet[CachedRevisionInfo] + + last_accessed: float + last_modified: float + + @property + def last_accessed_str(self) -> str: + """ + (property) Last time a blob file of the repo has been accessed, returned as a + human-readable string. + + Example: "2 weeks ago". + """ + return _format_timesince(self.last_accessed) + + @property + def last_modified_str(self) -> str: + """ + (property) Last time a blob file of the repo has been modified, returned as a + human-readable string. + + Example: "2 weeks ago". + """ + return _format_timesince(self.last_modified) + + @property + def size_on_disk_str(self) -> str: + """ + (property) Sum of the blob file sizes as a human-readable string. + + Example: "42.2K". + """ + return _format_size(self.size_on_disk) + + @property + def refs(self) -> Dict[str, CachedRevisionInfo]: + """ + (property) Mapping between `refs` and revision data structures. + """ + return {ref: revision for revision in self.revisions for ref in revision.refs} + + +@dataclass(frozen=True) +class DeleteCacheStrategy: + """Frozen data structure holding the strategy to delete cached revisions. + + This object is not meant to be instantiated programmatically but to be returned by + [`~utils.HFCacheInfo.delete_revisions`]. See documentation for usage example. + + Args: + expected_freed_size (`float`): + Expected freed size once strategy is executed. + blobs (`FrozenSet[Path]`): + Set of blob file paths to be deleted. + refs (`FrozenSet[Path]`): + Set of reference file paths to be deleted. + repos (`FrozenSet[Path]`): + Set of entire repo paths to be deleted. + snapshots (`FrozenSet[Path]`): + Set of snapshots to be deleted (directory of symlinks). + """ + + expected_freed_size: int + blobs: FrozenSet[Path] + refs: FrozenSet[Path] + repos: FrozenSet[Path] + snapshots: FrozenSet[Path] + + @property + def expected_freed_size_str(self) -> str: + """ + (property) Expected size that will be freed as a human-readable string. + + Example: "42.2K". + """ + return _format_size(self.expected_freed_size) + + def execute(self) -> None: + """Execute the defined strategy. + + + + If this method is interrupted, the cache might get corrupted. Deletion order is + implemented so that references and symlinks are deleted before the actual blob + files. + + + + + + This method is irreversible. If executed, cached files are erased and must be + downloaded again. + + + """ + # Deletion order matters. Blobs are deleted in last so that the user can't end + # up in a state where a `ref`` refers to a missing snapshot or a snapshot + # symlink refers to a deleted blob. + + # Delete entire repos + for path in self.repos: + _try_delete_path(path, path_type="repo") + + # Delete snapshot directories + for path in self.snapshots: + _try_delete_path(path, path_type="snapshot") + + # Delete refs files + for path in self.refs: + _try_delete_path(path, path_type="ref") + + # Delete blob files + for path in self.blobs: + _try_delete_path(path, path_type="blob") + + logger.info(f"Cache deletion done. Saved {self.expected_freed_size_str}.") + + +@dataclass(frozen=True) +class HFCacheInfo: + """Frozen data structure holding information about the entire cache-system. + + This data structure is returned by [`scan_cache_dir`] and is immutable. + + Args: + size_on_disk (`int`): + Sum of all valid repo sizes in the cache-system. + repos (`FrozenSet[CachedRepoInfo]`): + Set of [`~CachedRepoInfo`] describing all valid cached repos found on the + cache-system while scanning. + warnings (`List[CorruptedCacheException]`): + List of [`~CorruptedCacheException`] that occurred while scanning the cache. + Those exceptions are captured so that the scan can continue. Corrupted repos + are skipped from the scan. + + + + Here `size_on_disk` is equal to the sum of all repo sizes (only blobs). However if + some cached repos are corrupted, their sizes are not taken into account. + + + """ + + size_on_disk: int + repos: FrozenSet[CachedRepoInfo] + warnings: List[CorruptedCacheException] + + @property + def size_on_disk_str(self) -> str: + """ + (property) Sum of all valid repo sizes in the cache-system as a human-readable + string. + + Example: "42.2K". + """ + return _format_size(self.size_on_disk) + + def delete_revisions(self, *revisions: str) -> DeleteCacheStrategy: + """Prepare the strategy to delete one or more revisions cached locally. + + Input revisions can be any revision hash. If a revision hash is not found in the + local cache, a warning is thrown but no error is raised. Revisions can be from + different cached repos since hashes are unique across repos, + + Examples: + ```py + >>> from huggingface_hub import scan_cache_dir + >>> cache_info = scan_cache_dir() + >>> delete_strategy = cache_info.delete_revisions( + ... "81fd1d6e7847c99f5862c9fb81387956d99ec7aa" + ... ) + >>> print(f"Will free {delete_strategy.expected_freed_size_str}.") + Will free 7.9K. + >>> delete_strategy.execute() + Cache deletion done. Saved 7.9K. + ``` + + ```py + >>> from huggingface_hub import scan_cache_dir + >>> scan_cache_dir().delete_revisions( + ... "81fd1d6e7847c99f5862c9fb81387956d99ec7aa", + ... "e2983b237dccf3ab4937c97fa717319a9ca1a96d", + ... "6c0e6080953db56375760c0471a8c5f2929baf11", + ... ).execute() + Cache deletion done. Saved 8.6G. + ``` + + + + `delete_revisions` returns a [`~utils.DeleteCacheStrategy`] object that needs to + be executed. The [`~utils.DeleteCacheStrategy`] is not meant to be modified but + allows having a dry run before actually executing the deletion. + + + """ + hashes_to_delete: Set[str] = set(revisions) + + repos_with_revisions: Dict[CachedRepoInfo, Set[CachedRevisionInfo]] = defaultdict(set) + + for repo in self.repos: + for revision in repo.revisions: + if revision.commit_hash in hashes_to_delete: + repos_with_revisions[repo].add(revision) + hashes_to_delete.remove(revision.commit_hash) + + if len(hashes_to_delete) > 0: + logger.warning(f"Revision(s) not found - cannot delete them: {', '.join(hashes_to_delete)}") + + delete_strategy_blobs: Set[Path] = set() + delete_strategy_refs: Set[Path] = set() + delete_strategy_repos: Set[Path] = set() + delete_strategy_snapshots: Set[Path] = set() + delete_strategy_expected_freed_size = 0 + + for affected_repo, revisions_to_delete in repos_with_revisions.items(): + other_revisions = affected_repo.revisions - revisions_to_delete + + # If no other revisions, it means all revisions are deleted + # -> delete the entire cached repo + if len(other_revisions) == 0: + delete_strategy_repos.add(affected_repo.repo_path) + delete_strategy_expected_freed_size += affected_repo.size_on_disk + continue + + # Some revisions of the repo will be deleted but not all. We need to filter + # which blob files will not be linked anymore. + for revision_to_delete in revisions_to_delete: + # Snapshot dir + delete_strategy_snapshots.add(revision_to_delete.snapshot_path) + + # Refs dir + for ref in revision_to_delete.refs: + delete_strategy_refs.add(affected_repo.repo_path / "refs" / ref) + + # Blobs dir + for file in revision_to_delete.files: + if file.blob_path not in delete_strategy_blobs: + is_file_alone = True + for revision in other_revisions: + for rev_file in revision.files: + if file.blob_path == rev_file.blob_path: + is_file_alone = False + break + if not is_file_alone: + break + + # Blob file not referenced by remaining revisions -> delete + if is_file_alone: + delete_strategy_blobs.add(file.blob_path) + delete_strategy_expected_freed_size += file.size_on_disk + + # Return the strategy instead of executing it. + return DeleteCacheStrategy( + blobs=frozenset(delete_strategy_blobs), + refs=frozenset(delete_strategy_refs), + repos=frozenset(delete_strategy_repos), + snapshots=frozenset(delete_strategy_snapshots), + expected_freed_size=delete_strategy_expected_freed_size, + ) + + def export_as_table(self, *, verbosity: int = 0) -> str: + """Generate a table from the [`HFCacheInfo`] object. + + Pass `verbosity=0` to get a table with a single row per repo, with columns + "repo_id", "repo_type", "size_on_disk", "nb_files", "last_accessed", "last_modified", "refs", "local_path". + + Pass `verbosity=1` to get a table with a row per repo and revision (thus multiple rows can appear for a single repo), with columns + "repo_id", "repo_type", "revision", "size_on_disk", "nb_files", "last_modified", "refs", "local_path". + + Example: + ```py + >>> from huggingface_hub.utils import scan_cache_dir + + >>> hf_cache_info = scan_cache_dir() + HFCacheInfo(...) + + >>> print(hf_cache_info.export_as_table()) + REPO ID REPO TYPE SIZE ON DISK NB FILES LAST_ACCESSED LAST_MODIFIED REFS LOCAL PATH + --------------------------------------------------- --------- ------------ -------- ------------- ------------- ---- -------------------------------------------------------------------------------------------------- + roberta-base model 2.7M 5 1 day ago 1 week ago main ~/.cache/huggingface/hub/models--roberta-base + suno/bark model 8.8K 1 1 week ago 1 week ago main ~/.cache/huggingface/hub/models--suno--bark + t5-base model 893.8M 4 4 days ago 7 months ago main ~/.cache/huggingface/hub/models--t5-base + t5-large model 3.0G 4 5 weeks ago 5 months ago main ~/.cache/huggingface/hub/models--t5-large + + >>> print(hf_cache_info.export_as_table(verbosity=1)) + REPO ID REPO TYPE REVISION SIZE ON DISK NB FILES LAST_MODIFIED REFS LOCAL PATH + --------------------------------------------------- --------- ---------------------------------------- ------------ -------- ------------- ---- ----------------------------------------------------------------------------------------------------------------------------------------------------- + roberta-base model e2da8e2f811d1448a5b465c236feacd80ffbac7b 2.7M 5 1 week ago main ~/.cache/huggingface/hub/models--roberta-base/snapshots/e2da8e2f811d1448a5b465c236feacd80ffbac7b + suno/bark model 70a8a7d34168586dc5d028fa9666aceade177992 8.8K 1 1 week ago main ~/.cache/huggingface/hub/models--suno--bark/snapshots/70a8a7d34168586dc5d028fa9666aceade177992 + t5-base model a9723ea7f1b39c1eae772870f3b547bf6ef7e6c1 893.8M 4 7 months ago main ~/.cache/huggingface/hub/models--t5-base/snapshots/a9723ea7f1b39c1eae772870f3b547bf6ef7e6c1 + t5-large model 150ebc2c4b72291e770f58e6057481c8d2ed331a 3.0G 4 5 months ago main ~/.cache/huggingface/hub/models--t5-large/snapshots/150ebc2c4b72291e770f58e6057481c8d2ed331a + ``` + + Args: + verbosity (`int`, *optional*): + The verbosity level. Defaults to 0. + + Returns: + `str`: The table as a string. + """ + if verbosity == 0: + return tabulate( + rows=[ + [ + repo.repo_id, + repo.repo_type, + "{:>12}".format(repo.size_on_disk_str), + repo.nb_files, + repo.last_accessed_str, + repo.last_modified_str, + ", ".join(sorted(repo.refs)), + str(repo.repo_path), + ] + for repo in sorted(self.repos, key=lambda repo: repo.repo_path) + ], + headers=[ + "REPO ID", + "REPO TYPE", + "SIZE ON DISK", + "NB FILES", + "LAST_ACCESSED", + "LAST_MODIFIED", + "REFS", + "LOCAL PATH", + ], + ) + else: + return tabulate( + rows=[ + [ + repo.repo_id, + repo.repo_type, + revision.commit_hash, + "{:>12}".format(revision.size_on_disk_str), + revision.nb_files, + revision.last_modified_str, + ", ".join(sorted(revision.refs)), + str(revision.snapshot_path), + ] + for repo in sorted(self.repos, key=lambda repo: repo.repo_path) + for revision in sorted(repo.revisions, key=lambda revision: revision.commit_hash) + ], + headers=[ + "REPO ID", + "REPO TYPE", + "REVISION", + "SIZE ON DISK", + "NB FILES", + "LAST_MODIFIED", + "REFS", + "LOCAL PATH", + ], + ) + + +def scan_cache_dir(cache_dir: Optional[Union[str, Path]] = None) -> HFCacheInfo: + """Scan the entire HF cache-system and return a [`~HFCacheInfo`] structure. + + Use `scan_cache_dir` in order to programmatically scan your cache-system. The cache + will be scanned repo by repo. If a repo is corrupted, a [`~CorruptedCacheException`] + will be thrown internally but captured and returned in the [`~HFCacheInfo`] + structure. Only valid repos get a proper report. + + ```py + >>> from huggingface_hub import scan_cache_dir + + >>> hf_cache_info = scan_cache_dir() + HFCacheInfo( + size_on_disk=3398085269, + repos=frozenset({ + CachedRepoInfo( + repo_id='t5-small', + repo_type='model', + repo_path=PosixPath(...), + size_on_disk=970726914, + nb_files=11, + revisions=frozenset({ + CachedRevisionInfo( + commit_hash='d78aea13fa7ecd06c29e3e46195d6341255065d5', + size_on_disk=970726339, + snapshot_path=PosixPath(...), + files=frozenset({ + CachedFileInfo( + file_name='config.json', + size_on_disk=1197 + file_path=PosixPath(...), + blob_path=PosixPath(...), + ), + CachedFileInfo(...), + ... + }), + ), + CachedRevisionInfo(...), + ... + }), + ), + CachedRepoInfo(...), + ... + }), + warnings=[ + CorruptedCacheException("Snapshots dir doesn't exist in cached repo: ..."), + CorruptedCacheException(...), + ... + ], + ) + ``` + + You can also print a detailed report directly from the `hf` command line using: + ```text + > hf cache scan + REPO ID REPO TYPE SIZE ON DISK NB FILES REFS LOCAL PATH + --------------------------- --------- ------------ -------- ------------------- ------------------------------------------------------------------------- + glue dataset 116.3K 15 1.17.0, main, 2.4.0 /Users/lucain/.cache/huggingface/hub/datasets--glue + google/fleurs dataset 64.9M 6 main, refs/pr/1 /Users/lucain/.cache/huggingface/hub/datasets--google--fleurs + Jean-Baptiste/camembert-ner model 441.0M 7 main /Users/lucain/.cache/huggingface/hub/models--Jean-Baptiste--camembert-ner + bert-base-cased model 1.9G 13 main /Users/lucain/.cache/huggingface/hub/models--bert-base-cased + t5-base model 10.1K 3 main /Users/lucain/.cache/huggingface/hub/models--t5-base + t5-small model 970.7M 11 refs/pr/1, main /Users/lucain/.cache/huggingface/hub/models--t5-small + + Done in 0.0s. Scanned 6 repo(s) for a total of 3.4G. + Got 1 warning(s) while scanning. Use -vvv to print details. + ``` + + Args: + cache_dir (`str` or `Path`, `optional`): + Cache directory to cache. Defaults to the default HF cache directory. + + + + Raises: + + `CacheNotFound` + If the cache directory does not exist. + + [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) + If the cache directory is a file, instead of a directory. + + + + Returns: a [`~HFCacheInfo`] object. + """ + if cache_dir is None: + cache_dir = HF_HUB_CACHE + + cache_dir = Path(cache_dir).expanduser().resolve() + if not cache_dir.exists(): + raise CacheNotFound( + f"Cache directory not found: {cache_dir}. Please use `cache_dir` argument or set `HF_HUB_CACHE` environment variable.", + cache_dir=cache_dir, + ) + + if cache_dir.is_file(): + raise ValueError( + f"Scan cache expects a directory but found a file: {cache_dir}. Please use `cache_dir` argument or set `HF_HUB_CACHE` environment variable." + ) + + repos: Set[CachedRepoInfo] = set() + warnings: List[CorruptedCacheException] = [] + for repo_path in cache_dir.iterdir(): + if repo_path.name == ".locks": # skip './.locks/' folder + continue + try: + repos.add(_scan_cached_repo(repo_path)) + except CorruptedCacheException as e: + warnings.append(e) + + return HFCacheInfo( + repos=frozenset(repos), + size_on_disk=sum(repo.size_on_disk for repo in repos), + warnings=warnings, + ) + + +def _scan_cached_repo(repo_path: Path) -> CachedRepoInfo: + """Scan a single cache repo and return information about it. + + Any unexpected behavior will raise a [`~CorruptedCacheException`]. + """ + if not repo_path.is_dir(): + raise CorruptedCacheException(f"Repo path is not a directory: {repo_path}") + + if "--" not in repo_path.name: + raise CorruptedCacheException(f"Repo path is not a valid HuggingFace cache directory: {repo_path}") + + repo_type, repo_id = repo_path.name.split("--", maxsplit=1) + repo_type = repo_type[:-1] # "models" -> "model" + repo_id = repo_id.replace("--", "/") # google/fleurs -> "google/fleurs" + + if repo_type not in {"dataset", "model", "space"}: + raise CorruptedCacheException( + f"Repo type must be `dataset`, `model` or `space`, found `{repo_type}` ({repo_path})." + ) + + blob_stats: Dict[Path, os.stat_result] = {} # Key is blob_path, value is blob stats + + snapshots_path = repo_path / "snapshots" + refs_path = repo_path / "refs" + + if not snapshots_path.exists() or not snapshots_path.is_dir(): + raise CorruptedCacheException(f"Snapshots dir doesn't exist in cached repo: {snapshots_path}") + + # Scan over `refs` directory + + # key is revision hash, value is set of refs + refs_by_hash: Dict[str, Set[str]] = defaultdict(set) + if refs_path.exists(): + # Example of `refs` directory + # ── refs + # ├── main + # └── refs + # └── pr + # └── 1 + if refs_path.is_file(): + raise CorruptedCacheException(f"Refs directory cannot be a file: {refs_path}") + + for ref_path in refs_path.glob("**/*"): + # glob("**/*") iterates over all files and directories -> skip directories + if ref_path.is_dir() or ref_path.name in FILES_TO_IGNORE: + continue + + ref_name = str(ref_path.relative_to(refs_path)) + with ref_path.open() as f: + commit_hash = f.read() + + refs_by_hash[commit_hash].add(ref_name) + + # Scan snapshots directory + cached_revisions: Set[CachedRevisionInfo] = set() + for revision_path in snapshots_path.iterdir(): + # Ignore OS-created helper files + if revision_path.name in FILES_TO_IGNORE: + continue + if revision_path.is_file(): + raise CorruptedCacheException(f"Snapshots folder corrupted. Found a file: {revision_path}") + + cached_files = set() + for file_path in revision_path.glob("**/*"): + # glob("**/*") iterates over all files and directories -> skip directories + if file_path.is_dir(): + continue + + blob_path = Path(file_path).resolve() + if not blob_path.exists(): + raise CorruptedCacheException(f"Blob missing (broken symlink): {blob_path}") + + if blob_path not in blob_stats: + blob_stats[blob_path] = blob_path.stat() + + cached_files.add( + CachedFileInfo( + file_name=file_path.name, + file_path=file_path, + size_on_disk=blob_stats[blob_path].st_size, + blob_path=blob_path, + blob_last_accessed=blob_stats[blob_path].st_atime, + blob_last_modified=blob_stats[blob_path].st_mtime, + ) + ) + + # Last modified is either the last modified blob file or the revision folder + # itself if it is empty + if len(cached_files) > 0: + revision_last_modified = max(blob_stats[file.blob_path].st_mtime for file in cached_files) + else: + revision_last_modified = revision_path.stat().st_mtime + + cached_revisions.add( + CachedRevisionInfo( + commit_hash=revision_path.name, + files=frozenset(cached_files), + refs=frozenset(refs_by_hash.pop(revision_path.name, set())), + size_on_disk=sum( + blob_stats[blob_path].st_size for blob_path in set(file.blob_path for file in cached_files) + ), + snapshot_path=revision_path, + last_modified=revision_last_modified, + ) + ) + + # Check that all refs referred to an existing revision + if len(refs_by_hash) > 0: + raise CorruptedCacheException( + f"Reference(s) refer to missing commit hashes: {dict(refs_by_hash)} ({repo_path})." + ) + + # Last modified is either the last modified blob file or the repo folder itself if + # no blob files has been found. Same for last accessed. + if len(blob_stats) > 0: + repo_last_accessed = max(stat.st_atime for stat in blob_stats.values()) + repo_last_modified = max(stat.st_mtime for stat in blob_stats.values()) + else: + repo_stats = repo_path.stat() + repo_last_accessed = repo_stats.st_atime + repo_last_modified = repo_stats.st_mtime + + # Build and return frozen structure + return CachedRepoInfo( + nb_files=len(blob_stats), + repo_id=repo_id, + repo_path=repo_path, + repo_type=repo_type, # type: ignore + revisions=frozenset(cached_revisions), + size_on_disk=sum(stat.st_size for stat in blob_stats.values()), + last_accessed=repo_last_accessed, + last_modified=repo_last_modified, + ) + + +def _format_size(num: int) -> str: + """Format size in bytes into a human-readable string. + + Taken from https://stackoverflow.com/a/1094933 + """ + num_f = float(num) + for unit in ["", "K", "M", "G", "T", "P", "E", "Z"]: + if abs(num_f) < 1000.0: + return f"{num_f:3.1f}{unit}" + num_f /= 1000.0 + return f"{num_f:.1f}Y" + + +_TIMESINCE_CHUNKS = ( + # Label, divider, max value + ("second", 1, 60), + ("minute", 60, 60), + ("hour", 60 * 60, 24), + ("day", 60 * 60 * 24, 6), + ("week", 60 * 60 * 24 * 7, 6), + ("month", 60 * 60 * 24 * 30, 11), + ("year", 60 * 60 * 24 * 365, None), +) + + +def _format_timesince(ts: float) -> str: + """Format timestamp in seconds into a human-readable string, relative to now. + + Vaguely inspired by Django's `timesince` formatter. + """ + delta = time.time() - ts + if delta < 20: + return "a few seconds ago" + for label, divider, max_value in _TIMESINCE_CHUNKS: # noqa: B007 + value = round(delta / divider) + if max_value is not None and value <= max_value: + break + return f"{value} {label}{'s' if value > 1 else ''} ago" + + +def _try_delete_path(path: Path, path_type: str) -> None: + """Try to delete a local file or folder. + + If the path does not exists, error is logged as a warning and then ignored. + + Args: + path (`Path`) + Path to delete. Can be a file or a folder. + path_type (`str`) + What path are we deleting ? Only for logging purposes. Example: "snapshot". + """ + logger.info(f"Delete {path_type}: {path}") + try: + if path.is_file(): + os.remove(path) + else: + shutil.rmtree(path) + except FileNotFoundError: + logger.warning(f"Couldn't delete {path_type}: file not found ({path})", exc_info=True) + except PermissionError: + logger.warning(f"Couldn't delete {path_type}: permission denied ({path})", exc_info=True) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_chunk_utils.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_chunk_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..b0af032ae6a68f03676ad7fdb8e483248d9853f8 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_chunk_utils.py @@ -0,0 +1,65 @@ +# coding=utf-8 +# Copyright 2022-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains a utility to iterate by chunks over an iterator.""" + +import itertools +from typing import Iterable, TypeVar + + +T = TypeVar("T") + + +def chunk_iterable(iterable: Iterable[T], chunk_size: int) -> Iterable[Iterable[T]]: + """Iterates over an iterator chunk by chunk. + + Taken from https://stackoverflow.com/a/8998040. + See also https://github.com/huggingface/huggingface_hub/pull/920#discussion_r938793088. + + Args: + iterable (`Iterable`): + The iterable on which we want to iterate. + chunk_size (`int`): + Size of the chunks. Must be a strictly positive integer (e.g. >0). + + Example: + + ```python + >>> from huggingface_hub.utils import chunk_iterable + + >>> for items in chunk_iterable(range(17), chunk_size=8): + ... print(items) + # [0, 1, 2, 3, 4, 5, 6, 7] + # [8, 9, 10, 11, 12, 13, 14, 15] + # [16] # smaller last chunk + ``` + + Raises: + [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) + If `chunk_size` <= 0. + + + The last chunk can be smaller than `chunk_size`. + + """ + if not isinstance(chunk_size, int) or chunk_size <= 0: + raise ValueError("`chunk_size` must be a strictly positive integer (>0).") + + iterator = iter(iterable) + while True: + try: + next_item = next(iterator) + except StopIteration: + return + yield itertools.chain((next_item,), itertools.islice(iterator, chunk_size - 1)) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_datetime.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_datetime.py new file mode 100644 index 0000000000000000000000000000000000000000..1a7f44285d1c826006c97176ca66c3e9c33f61c0 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_datetime.py @@ -0,0 +1,67 @@ +# coding=utf-8 +# Copyright 2022-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains utilities to handle datetimes in Huggingface Hub.""" + +from datetime import datetime, timezone + + +def parse_datetime(date_string: str) -> datetime: + """ + Parses a date_string returned from the server to a datetime object. + + This parser is a weak-parser is the sense that it handles only a single format of + date_string. It is expected that the server format will never change. The + implementation depends only on the standard lib to avoid an external dependency + (python-dateutil). See full discussion about this decision on PR: + https://github.com/huggingface/huggingface_hub/pull/999. + + Example: + ```py + > parse_datetime('2022-08-19T07:19:38.123Z') + datetime.datetime(2022, 8, 19, 7, 19, 38, 123000, tzinfo=timezone.utc) + ``` + + Args: + date_string (`str`): + A string representing a datetime returned by the Hub server. + String is expected to follow '%Y-%m-%dT%H:%M:%S.%fZ' pattern. + + Returns: + A python datetime object. + + Raises: + :class:`ValueError`: + If `date_string` cannot be parsed. + """ + try: + # Normalize the string to always have 6 digits of fractional seconds + if date_string.endswith("Z"): + # Case 1: No decimal point (e.g., "2024-11-16T00:27:02Z") + if "." not in date_string: + # No fractional seconds - insert .000000 + date_string = date_string[:-1] + ".000000Z" + # Case 2: Has decimal point (e.g., "2022-08-19T07:19:38.123456789Z") + else: + # Get the fractional and base parts + base, fraction = date_string[:-1].split(".") + # fraction[:6] takes first 6 digits and :0<6 pads with zeros if less than 6 digits + date_string = f"{base}.{fraction[:6]:0<6}Z" + + return datetime.strptime(date_string, "%Y-%m-%dT%H:%M:%S.%fZ").replace(tzinfo=timezone.utc) + except ValueError as e: + raise ValueError( + f"Cannot parse '{date_string}' as a datetime. Date string is expected to" + " follow '%Y-%m-%dT%H:%M:%S.%fZ' pattern." + ) from e diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_deprecation.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_deprecation.py new file mode 100644 index 0000000000000000000000000000000000000000..4cb8d6e418c76accd1ecd61158b4bdd265e12f71 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_deprecation.py @@ -0,0 +1,136 @@ +import warnings +from functools import wraps +from inspect import Parameter, signature +from typing import Iterable, Optional + + +def _deprecate_positional_args(*, version: str): + """Decorator for methods that issues warnings for positional arguments. + Using the keyword-only argument syntax in pep 3102, arguments after the + * will issue a warning when passed as a positional argument. + + Args: + version (`str`): + The version when positional arguments will result in error. + """ + + def _inner_deprecate_positional_args(f): + sig = signature(f) + kwonly_args = [] + all_args = [] + for name, param in sig.parameters.items(): + if param.kind == Parameter.POSITIONAL_OR_KEYWORD: + all_args.append(name) + elif param.kind == Parameter.KEYWORD_ONLY: + kwonly_args.append(name) + + @wraps(f) + def inner_f(*args, **kwargs): + extra_args = len(args) - len(all_args) + if extra_args <= 0: + return f(*args, **kwargs) + # extra_args > 0 + args_msg = [ + f"{name}='{arg}'" if isinstance(arg, str) else f"{name}={arg}" + for name, arg in zip(kwonly_args[:extra_args], args[-extra_args:]) + ] + args_msg = ", ".join(args_msg) + warnings.warn( + f"Deprecated positional argument(s) used in '{f.__name__}': pass" + f" {args_msg} as keyword args. From version {version} passing these" + " as positional arguments will result in an error,", + FutureWarning, + ) + kwargs.update(zip(sig.parameters, args)) + return f(**kwargs) + + return inner_f + + return _inner_deprecate_positional_args + + +def _deprecate_arguments( + *, + version: str, + deprecated_args: Iterable[str], + custom_message: Optional[str] = None, +): + """Decorator to issue warnings when using deprecated arguments. + + TODO: could be useful to be able to set a custom error message. + + Args: + version (`str`): + The version when deprecated arguments will result in error. + deprecated_args (`List[str]`): + List of the arguments to be deprecated. + custom_message (`str`, *optional*): + Warning message that is raised. If not passed, a default warning message + will be created. + """ + + def _inner_deprecate_positional_args(f): + sig = signature(f) + + @wraps(f) + def inner_f(*args, **kwargs): + # Check for used deprecated arguments + used_deprecated_args = [] + for _, parameter in zip(args, sig.parameters.values()): + if parameter.name in deprecated_args: + used_deprecated_args.append(parameter.name) + for kwarg_name, kwarg_value in kwargs.items(): + if ( + # If argument is deprecated but still used + kwarg_name in deprecated_args + # And then the value is not the default value + and kwarg_value != sig.parameters[kwarg_name].default + ): + used_deprecated_args.append(kwarg_name) + + # Warn and proceed + if len(used_deprecated_args) > 0: + message = ( + f"Deprecated argument(s) used in '{f.__name__}':" + f" {', '.join(used_deprecated_args)}. Will not be supported from" + f" version '{version}'." + ) + if custom_message is not None: + message += "\n\n" + custom_message + warnings.warn(message, FutureWarning) + return f(*args, **kwargs) + + return inner_f + + return _inner_deprecate_positional_args + + +def _deprecate_method(*, version: str, message: Optional[str] = None): + """Decorator to issue warnings when using a deprecated method. + + Args: + version (`str`): + The version when deprecated arguments will result in error. + message (`str`, *optional*): + Warning message that is raised. If not passed, a default warning message + will be created. + """ + + def _inner_deprecate_method(f): + name = f.__name__ + if name == "__init__": + name = f.__qualname__.split(".")[0] # class name instead of method name + + @wraps(f) + def inner_f(*args, **kwargs): + warning_message = ( + f"'{name}' (from '{f.__module__}') is deprecated and will be removed from version '{version}'." + ) + if message is not None: + warning_message += " " + message + warnings.warn(warning_message, FutureWarning) + return f(*args, **kwargs) + + return inner_f + + return _inner_deprecate_method diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_dotenv.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_dotenv.py new file mode 100644 index 0000000000000000000000000000000000000000..23b8a1b70a4827fc8ae4149c2b1b1e4b00ed7ca2 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_dotenv.py @@ -0,0 +1,55 @@ +# AI-generated module (ChatGPT) +import re +from typing import Dict, Optional + + +def load_dotenv(dotenv_str: str, environ: Optional[Dict[str, str]] = None) -> Dict[str, str]: + """ + Parse a DOTENV-format string and return a dictionary of key-value pairs. + Handles quoted values, comments, export keyword, and blank lines. + """ + env: Dict[str, str] = {} + line_pattern = re.compile( + r""" + ^\s* + (?:export[^\S\n]+)? # optional export + ([A-Za-z_][A-Za-z0-9_]*) # key + [^\S\n]*(=)?[^\S\n]* + ( # value group + (?: + '(?:\\'|[^'])*' # single-quoted value + | \"(?:\\\"|[^\"])*\" # double-quoted value + | [^#\n\r]+? # unquoted value + ) + )? + [^\S\n]*(?:\#.*)?$ # optional inline comment + """, + re.VERBOSE, + ) + + for line in dotenv_str.splitlines(): + line = line.strip() + if not line or line.startswith("#"): + continue # Skip comments and empty lines + + match = line_pattern.match(line) + if match: + key = match.group(1) + val = None + if match.group(2): # if there is '=' + raw_val = match.group(3) or "" + val = raw_val.strip() + # Remove surrounding quotes if quoted + if (val.startswith('"') and val.endswith('"')) or (val.startswith("'") and val.endswith("'")): + val = val[1:-1] + val = val.replace(r"\n", "\n").replace(r"\t", "\t").replace(r"\"", '"').replace(r"\\", "\\") + if raw_val.startswith('"'): + val = val.replace(r"\$", "$") # only in double quotes + elif environ is not None: + # Get it from the current environment + val = environ.get(key) + + if val is not None: + env[key] = val + + return env diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_experimental.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_experimental.py new file mode 100644 index 0000000000000000000000000000000000000000..40b0ed90ff8af6797758d59b93019498cd72f9ad --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_experimental.py @@ -0,0 +1,68 @@ +# coding=utf-8 +# Copyright 2023-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains utilities to flag a feature as "experimental" in Huggingface Hub.""" + +import warnings +from functools import wraps +from typing import Callable + +from .. import constants + + +def experimental(fn: Callable) -> Callable: + """Decorator to flag a feature as experimental. + + An experimental feature triggers a warning when used as it might be subject to breaking changes without prior notice + in the future. + + Warnings can be disabled by setting `HF_HUB_DISABLE_EXPERIMENTAL_WARNING=1` as environment variable. + + Args: + fn (`Callable`): + The function to flag as experimental. + + Returns: + `Callable`: The decorated function. + + Example: + + ```python + >>> from huggingface_hub.utils import experimental + + >>> @experimental + ... def my_function(): + ... print("Hello world!") + + >>> my_function() + UserWarning: 'my_function' is experimental and might be subject to breaking changes in the future without prior + notice. You can disable this warning by setting `HF_HUB_DISABLE_EXPERIMENTAL_WARNING=1` as environment variable. + Hello world! + ``` + """ + # For classes, put the "experimental" around the "__new__" method => __new__ will be removed in warning message + name = fn.__qualname__[: -len(".__new__")] if fn.__qualname__.endswith(".__new__") else fn.__qualname__ + + @wraps(fn) + def _inner_fn(*args, **kwargs): + if not constants.HF_HUB_DISABLE_EXPERIMENTAL_WARNING: + warnings.warn( + f"'{name}' is experimental and might be subject to breaking changes in the future without prior notice." + " You can disable this warning by setting `HF_HUB_DISABLE_EXPERIMENTAL_WARNING=1` as environment" + " variable.", + UserWarning, + ) + return fn(*args, **kwargs) + + return _inner_fn diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_fixes.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_fixes.py new file mode 100644 index 0000000000000000000000000000000000000000..560003b6222058b03791491b1ce70ea9d7a94404 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_fixes.py @@ -0,0 +1,133 @@ +# JSONDecodeError was introduced in requests=2.27 released in 2022. +# This allows us to support older requests for users +# More information: https://github.com/psf/requests/pull/5856 +try: + from requests import JSONDecodeError # type: ignore # noqa: F401 +except ImportError: + try: + from simplejson import JSONDecodeError # type: ignore # noqa: F401 + except ImportError: + from json import JSONDecodeError # type: ignore # noqa: F401 +import contextlib +import os +import shutil +import stat +import tempfile +import time +from functools import partial +from pathlib import Path +from typing import Callable, Generator, Optional, Union + +import yaml +from filelock import BaseFileLock, FileLock, SoftFileLock, Timeout + +from .. import constants +from . import logging + + +logger = logging.get_logger(__name__) + +# Wrap `yaml.dump` to set `allow_unicode=True` by default. +# +# Example: +# ```py +# >>> yaml.dump({"emoji": "👀", "some unicode": "日本か"}) +# 'emoji: "\\U0001F440"\nsome unicode: "\\u65E5\\u672C\\u304B"\n' +# +# >>> yaml_dump({"emoji": "👀", "some unicode": "日本か"}) +# 'emoji: "👀"\nsome unicode: "日本か"\n' +# ``` +yaml_dump: Callable[..., str] = partial(yaml.dump, stream=None, allow_unicode=True) # type: ignore + + +@contextlib.contextmanager +def SoftTemporaryDirectory( + suffix: Optional[str] = None, + prefix: Optional[str] = None, + dir: Optional[Union[Path, str]] = None, + **kwargs, +) -> Generator[Path, None, None]: + """ + Context manager to create a temporary directory and safely delete it. + + If tmp directory cannot be deleted normally, we set the WRITE permission and retry. + If cleanup still fails, we give up but don't raise an exception. This is equivalent + to `tempfile.TemporaryDirectory(..., ignore_cleanup_errors=True)` introduced in + Python 3.10. + + See https://www.scivision.dev/python-tempfile-permission-error-windows/. + """ + tmpdir = tempfile.TemporaryDirectory(prefix=prefix, suffix=suffix, dir=dir, **kwargs) + yield Path(tmpdir.name).resolve() + + try: + # First once with normal cleanup + shutil.rmtree(tmpdir.name) + except Exception: + # If failed, try to set write permission and retry + try: + shutil.rmtree(tmpdir.name, onerror=_set_write_permission_and_retry) + except Exception: + pass + + # And finally, cleanup the tmpdir. + # If it fails again, give up but do not throw error + try: + tmpdir.cleanup() + except Exception: + pass + + +def _set_write_permission_and_retry(func, path, excinfo): + os.chmod(path, stat.S_IWRITE) + func(path) + + +@contextlib.contextmanager +def WeakFileLock( + lock_file: Union[str, Path], *, timeout: Optional[float] = None +) -> Generator[BaseFileLock, None, None]: + """A filelock with some custom logic. + + This filelock is weaker than the default filelock in that: + 1. It won't raise an exception if release fails. + 2. It will default to a SoftFileLock if the filesystem does not support flock. + + An INFO log message is emitted every 10 seconds if the lock is not acquired immediately. + If a timeout is provided, a `filelock.Timeout` exception is raised if the lock is not acquired within the timeout. + """ + log_interval = constants.FILELOCK_LOG_EVERY_SECONDS + lock = FileLock(lock_file, timeout=log_interval) + start_time = time.time() + + while True: + elapsed_time = time.time() - start_time + if timeout is not None and elapsed_time >= timeout: + raise Timeout(str(lock_file)) + + try: + lock.acquire(timeout=min(log_interval, timeout - elapsed_time) if timeout else log_interval) + except Timeout: + logger.info( + f"Still waiting to acquire lock on {lock_file} (elapsed: {time.time() - start_time:.1f} seconds)" + ) + except NotImplementedError as e: + if "use SoftFileLock instead" in str(e): + logger.warning( + "FileSystem does not appear to support flock. Falling back to SoftFileLock for %s", lock_file + ) + lock = SoftFileLock(lock_file, timeout=log_interval) + continue + else: + break + + try: + yield lock + finally: + try: + lock.release() + except OSError: + try: + Path(lock_file).unlink() + except OSError: + pass diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_git_credential.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_git_credential.py new file mode 100644 index 0000000000000000000000000000000000000000..a8ed77f4e49ca88ff4fa9aba48cbf00195036013 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_git_credential.py @@ -0,0 +1,121 @@ +# coding=utf-8 +# Copyright 2022-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains utilities to manage Git credentials.""" + +import re +import subprocess +from typing import List, Optional + +from ..constants import ENDPOINT +from ._subprocess import run_interactive_subprocess, run_subprocess + + +GIT_CREDENTIAL_REGEX = re.compile( + r""" + ^\s* # start of line + credential\.helper # credential.helper value + \s*=\s* # separator + (\w+) # the helper name (group 1) + (\s|$) # whitespace or end of line + """, + flags=re.MULTILINE | re.IGNORECASE | re.VERBOSE, +) + + +def list_credential_helpers(folder: Optional[str] = None) -> List[str]: + """Return the list of git credential helpers configured. + + See https://git-scm.com/docs/gitcredentials. + + Credentials are saved in all configured helpers (store, cache, macOS keychain,...). + Calls "`git credential approve`" internally. See https://git-scm.com/docs/git-credential. + + Args: + folder (`str`, *optional*): + The folder in which to check the configured helpers. + """ + try: + output = run_subprocess("git config --list", folder=folder).stdout + parsed = _parse_credential_output(output) + return parsed + except subprocess.CalledProcessError as exc: + raise EnvironmentError(exc.stderr) + + +def set_git_credential(token: str, username: str = "hf_user", folder: Optional[str] = None) -> None: + """Save a username/token pair in git credential for HF Hub registry. + + Credentials are saved in all configured helpers (store, cache, macOS keychain,...). + Calls "`git credential approve`" internally. See https://git-scm.com/docs/git-credential. + + Args: + username (`str`, defaults to `"hf_user"`): + A git username. Defaults to `"hf_user"`, the default user used in the Hub. + token (`str`, defaults to `"hf_user"`): + A git password. In practice, the User Access Token for the Hub. + See https://huggingface.co/settings/tokens. + folder (`str`, *optional*): + The folder in which to check the configured helpers. + """ + with run_interactive_subprocess("git credential approve", folder=folder) as ( + stdin, + _, + ): + stdin.write(f"url={ENDPOINT}\nusername={username.lower()}\npassword={token}\n\n") + stdin.flush() + + +def unset_git_credential(username: str = "hf_user", folder: Optional[str] = None) -> None: + """Erase credentials from git credential for HF Hub registry. + + Credentials are erased from the configured helpers (store, cache, macOS + keychain,...), if any. If `username` is not provided, any credential configured for + HF Hub endpoint is erased. + Calls "`git credential erase`" internally. See https://git-scm.com/docs/git-credential. + + Args: + username (`str`, defaults to `"hf_user"`): + A git username. Defaults to `"hf_user"`, the default user used in the Hub. + folder (`str`, *optional*): + The folder in which to check the configured helpers. + """ + with run_interactive_subprocess("git credential reject", folder=folder) as ( + stdin, + _, + ): + standard_input = f"url={ENDPOINT}\n" + if username is not None: + standard_input += f"username={username.lower()}\n" + standard_input += "\n" + + stdin.write(standard_input) + stdin.flush() + + +def _parse_credential_output(output: str) -> List[str]: + """Parse the output of `git credential fill` to extract the password. + + Args: + output (`str`): + The output of `git credential fill`. + """ + # NOTE: If user has set an helper for a custom URL, it will not we caught here. + # Example: `credential.https://huggingface.co.helper=store` + # See: https://github.com/huggingface/huggingface_hub/pull/1138#discussion_r1013324508 + return sorted( # Sort for nice printing + set( # Might have some duplicates + match[0] for match in GIT_CREDENTIAL_REGEX.findall(output) + ) + ) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_headers.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_headers.py new file mode 100644 index 0000000000000000000000000000000000000000..053a92a398f8734ee14cd67e4b514dfc350fcecd --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_headers.py @@ -0,0 +1,228 @@ +# coding=utf-8 +# Copyright 2022-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains utilities to handle headers to send in calls to Huggingface Hub.""" + +from typing import Dict, Optional, Union + +from huggingface_hub.errors import LocalTokenNotFoundError + +from .. import constants +from ._auth import get_token +from ._deprecation import _deprecate_arguments +from ._runtime import ( + get_fastai_version, + get_fastcore_version, + get_hf_hub_version, + get_python_version, + get_tf_version, + get_torch_version, + is_fastai_available, + is_fastcore_available, + is_tf_available, + is_torch_available, +) +from ._validators import validate_hf_hub_args + + +@_deprecate_arguments( + version="1.0", + deprecated_args="is_write_action", + custom_message="This argument is ignored and we let the server handle the permission error instead (if any).", +) +@validate_hf_hub_args +def build_hf_headers( + *, + token: Optional[Union[bool, str]] = None, + library_name: Optional[str] = None, + library_version: Optional[str] = None, + user_agent: Union[Dict, str, None] = None, + headers: Optional[Dict[str, str]] = None, + is_write_action: bool = False, +) -> Dict[str, str]: + """ + Build headers dictionary to send in a HF Hub call. + + By default, authorization token is always provided either from argument (explicit + use) or retrieved from the cache (implicit use). To explicitly avoid sending the + token to the Hub, set `token=False` or set the `HF_HUB_DISABLE_IMPLICIT_TOKEN` + environment variable. + + In case of an API call that requires write access, an error is thrown if token is + `None` or token is an organization token (starting with `"api_org***"`). + + In addition to the auth header, a user-agent is added to provide information about + the installed packages (versions of python, huggingface_hub, torch, tensorflow, + fastai and fastcore). + + Args: + token (`str`, `bool`, *optional*): + The token to be sent in authorization header for the Hub call: + - if a string, it is used as the Hugging Face token + - if `True`, the token is read from the machine (cache or env variable) + - if `False`, authorization header is not set + - if `None`, the token is read from the machine only except if + `HF_HUB_DISABLE_IMPLICIT_TOKEN` env variable is set. + library_name (`str`, *optional*): + The name of the library that is making the HTTP request. Will be added to + the user-agent header. + library_version (`str`, *optional*): + The version of the library that is making the HTTP request. Will be added + to the user-agent header. + user_agent (`str`, `dict`, *optional*): + The user agent info in the form of a dictionary or a single string. It will + be completed with information about the installed packages. + headers (`dict`, *optional*): + Additional headers to include in the request. Those headers take precedence + over the ones generated by this function. + is_write_action (`bool`): + Ignored and deprecated argument. + + Returns: + A `Dict` of headers to pass in your API call. + + Example: + ```py + >>> build_hf_headers(token="hf_***") # explicit token + {"authorization": "Bearer hf_***", "user-agent": ""} + + >>> build_hf_headers(token=True) # explicitly use cached token + {"authorization": "Bearer hf_***",...} + + >>> build_hf_headers(token=False) # explicitly don't use cached token + {"user-agent": ...} + + >>> build_hf_headers() # implicit use of the cached token + {"authorization": "Bearer hf_***",...} + + # HF_HUB_DISABLE_IMPLICIT_TOKEN=True # to set as env variable + >>> build_hf_headers() # token is not sent + {"user-agent": ...} + + >>> build_hf_headers(library_name="transformers", library_version="1.2.3") + {"authorization": ..., "user-agent": "transformers/1.2.3; hf_hub/0.10.2; python/3.10.4; tensorflow/1.55"} + ``` + + Raises: + [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) + If organization token is passed and "write" access is required. + [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) + If "write" access is required but token is not passed and not saved locally. + [`EnvironmentError`](https://docs.python.org/3/library/exceptions.html#EnvironmentError) + If `token=True` but token is not saved locally. + """ + # Get auth token to send + token_to_send = get_token_to_send(token) + + # Combine headers + hf_headers = { + "user-agent": _http_user_agent( + library_name=library_name, + library_version=library_version, + user_agent=user_agent, + ) + } + if token_to_send is not None: + hf_headers["authorization"] = f"Bearer {token_to_send}" + if headers is not None: + hf_headers.update(headers) + return hf_headers + + +def get_token_to_send(token: Optional[Union[bool, str]]) -> Optional[str]: + """Select the token to send from either `token` or the cache.""" + # Case token is explicitly provided + if isinstance(token, str): + return token + + # Case token is explicitly forbidden + if token is False: + return None + + # Token is not provided: we get it from local cache + cached_token = get_token() + + # Case token is explicitly required + if token is True: + if cached_token is None: + raise LocalTokenNotFoundError( + "Token is required (`token=True`), but no token found. You" + " need to provide a token or be logged in to Hugging Face with" + " `hf auth login` or `huggingface_hub.login`. See" + " https://huggingface.co/settings/tokens." + ) + return cached_token + + # Case implicit use of the token is forbidden by env variable + if constants.HF_HUB_DISABLE_IMPLICIT_TOKEN: + return None + + # Otherwise: we use the cached token as the user has not explicitly forbidden it + return cached_token + + +def _http_user_agent( + *, + library_name: Optional[str] = None, + library_version: Optional[str] = None, + user_agent: Union[Dict, str, None] = None, +) -> str: + """Format a user-agent string containing information about the installed packages. + + Args: + library_name (`str`, *optional*): + The name of the library that is making the HTTP request. + library_version (`str`, *optional*): + The version of the library that is making the HTTP request. + user_agent (`str`, `dict`, *optional*): + The user agent info in the form of a dictionary or a single string. + + Returns: + The formatted user-agent string. + """ + if library_name is not None: + ua = f"{library_name}/{library_version}" + else: + ua = "unknown/None" + ua += f"; hf_hub/{get_hf_hub_version()}" + ua += f"; python/{get_python_version()}" + + if not constants.HF_HUB_DISABLE_TELEMETRY: + if is_torch_available(): + ua += f"; torch/{get_torch_version()}" + if is_tf_available(): + ua += f"; tensorflow/{get_tf_version()}" + if is_fastai_available(): + ua += f"; fastai/{get_fastai_version()}" + if is_fastcore_available(): + ua += f"; fastcore/{get_fastcore_version()}" + + if isinstance(user_agent, dict): + ua += "; " + "; ".join(f"{k}/{v}" for k, v in user_agent.items()) + elif isinstance(user_agent, str): + ua += "; " + user_agent + + # Retrieve user-agent origin headers from environment variable + origin = constants.HF_HUB_USER_AGENT_ORIGIN + if origin is not None: + ua += "; origin/" + origin + + return _deduplicate_user_agent(ua) + + +def _deduplicate_user_agent(user_agent: str) -> str: + """Deduplicate redundant information in the generated user-agent.""" + # Split around ";" > Strip whitespaces > Store as dict keys (ensure unicity) > format back as string + # Order is implicitly preserved by dictionary structure (see https://stackoverflow.com/a/53657523). + return "; ".join({key.strip(): None for key in user_agent.split(";")}.keys()) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_hf_folder.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_hf_folder.py new file mode 100644 index 0000000000000000000000000000000000000000..6418bf2fd2c59b4bcf301c1dd82bc468f2f42ddf --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_hf_folder.py @@ -0,0 +1,68 @@ +# coding=utf-8 +# Copyright 2022-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contain helper class to retrieve/store token from/to local cache.""" + +from pathlib import Path +from typing import Optional + +from .. import constants +from ._auth import get_token + + +class HfFolder: + # TODO: deprecate when adapted in transformers/datasets/gradio + # @_deprecate_method(version="1.0", message="Use `huggingface_hub.login` instead.") + @classmethod + def save_token(cls, token: str) -> None: + """ + Save token, creating folder as needed. + + Token is saved in the huggingface home folder. You can configure it by setting + the `HF_HOME` environment variable. + + Args: + token (`str`): + The token to save to the [`HfFolder`] + """ + path_token = Path(constants.HF_TOKEN_PATH) + path_token.parent.mkdir(parents=True, exist_ok=True) + path_token.write_text(token) + + # TODO: deprecate when adapted in transformers/datasets/gradio + # @_deprecate_method(version="1.0", message="Use `huggingface_hub.get_token` instead.") + @classmethod + def get_token(cls) -> Optional[str]: + """ + Get token or None if not existent. + + This method is deprecated in favor of [`huggingface_hub.get_token`] but is kept for backward compatibility. + Its behavior is the same as [`huggingface_hub.get_token`]. + + Returns: + `str` or `None`: The token, `None` if it doesn't exist. + """ + return get_token() + + # TODO: deprecate when adapted in transformers/datasets/gradio + # @_deprecate_method(version="1.0", message="Use `huggingface_hub.logout` instead.") + @classmethod + def delete_token(cls) -> None: + """ + Deletes the token from storage. Does not fail if token does not exist. + """ + try: + Path(constants.HF_TOKEN_PATH).unlink() + except FileNotFoundError: + pass diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py new file mode 100644 index 0000000000000000000000000000000000000000..5baceb8f8fd511403aa30c93dfe1fd33068c8dfe --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py @@ -0,0 +1,637 @@ +# coding=utf-8 +# Copyright 2022-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains utilities to handle HTTP requests in Huggingface Hub.""" + +import io +import os +import re +import threading +import time +import uuid +from functools import lru_cache +from http import HTTPStatus +from shlex import quote +from typing import Any, Callable, List, Optional, Tuple, Type, Union + +import requests +from requests import HTTPError, Response +from requests.adapters import HTTPAdapter +from requests.models import PreparedRequest + +from huggingface_hub.errors import OfflineModeIsEnabled + +from .. import constants +from ..errors import ( + BadRequestError, + DisabledRepoError, + EntryNotFoundError, + GatedRepoError, + HfHubHTTPError, + RepositoryNotFoundError, + RevisionNotFoundError, +) +from . import logging +from ._fixes import JSONDecodeError +from ._lfs import SliceFileObj +from ._typing import HTTP_METHOD_T + + +logger = logging.get_logger(__name__) + +# Both headers are used by the Hub to debug failed requests. +# `X_AMZN_TRACE_ID` is better as it also works to debug on Cloudfront and ALB. +# If `X_AMZN_TRACE_ID` is set, the Hub will use it as well. +X_AMZN_TRACE_ID = "X-Amzn-Trace-Id" +X_REQUEST_ID = "x-request-id" + +REPO_API_REGEX = re.compile( + r""" + # staging or production endpoint + ^https://[^/]+ + ( + # on /api/repo_type/repo_id + /api/(models|datasets|spaces)/(.+) + | + # or /repo_id/resolve/revision/... + /(.+)/resolve/(.+) + ) + """, + flags=re.VERBOSE, +) + + +class UniqueRequestIdAdapter(HTTPAdapter): + X_AMZN_TRACE_ID = "X-Amzn-Trace-Id" + + def add_headers(self, request, **kwargs): + super().add_headers(request, **kwargs) + + # Add random request ID => easier for server-side debug + if X_AMZN_TRACE_ID not in request.headers: + request.headers[X_AMZN_TRACE_ID] = request.headers.get(X_REQUEST_ID) or str(uuid.uuid4()) + + # Add debug log + has_token = len(str(request.headers.get("authorization", ""))) > 0 + logger.debug( + f"Request {request.headers[X_AMZN_TRACE_ID]}: {request.method} {request.url} (authenticated: {has_token})" + ) + + def send(self, request: PreparedRequest, *args, **kwargs) -> Response: + """Catch any RequestException to append request id to the error message for debugging.""" + if constants.HF_DEBUG: + logger.debug(f"Send: {_curlify(request)}") + try: + return super().send(request, *args, **kwargs) + except requests.RequestException as e: + request_id = request.headers.get(X_AMZN_TRACE_ID) + if request_id is not None: + # Taken from https://stackoverflow.com/a/58270258 + e.args = (*e.args, f"(Request ID: {request_id})") + raise + + +class OfflineAdapter(HTTPAdapter): + def send(self, request: PreparedRequest, *args, **kwargs) -> Response: + raise OfflineModeIsEnabled( + f"Cannot reach {request.url}: offline mode is enabled. To disable it, please unset the `HF_HUB_OFFLINE` environment variable." + ) + + +def _default_backend_factory() -> requests.Session: + session = requests.Session() + if constants.HF_HUB_OFFLINE: + session.mount("http://", OfflineAdapter()) + session.mount("https://", OfflineAdapter()) + else: + session.mount("http://", UniqueRequestIdAdapter()) + session.mount("https://", UniqueRequestIdAdapter()) + return session + + +BACKEND_FACTORY_T = Callable[[], requests.Session] +_GLOBAL_BACKEND_FACTORY: BACKEND_FACTORY_T = _default_backend_factory + + +def configure_http_backend(backend_factory: BACKEND_FACTORY_T = _default_backend_factory) -> None: + """ + Configure the HTTP backend by providing a `backend_factory`. Any HTTP calls made by `huggingface_hub` will use a + Session object instantiated by this factory. This can be useful if you are running your scripts in a specific + environment requiring custom configuration (e.g. custom proxy or certifications). + + Use [`get_session`] to get a configured Session. Since `requests.Session` is not guaranteed to be thread-safe, + `huggingface_hub` creates 1 Session instance per thread. They are all instantiated using the same `backend_factory` + set in [`configure_http_backend`]. A LRU cache is used to cache the created sessions (and connections) between + calls. Max size is 128 to avoid memory leaks if thousands of threads are spawned. + + See [this issue](https://github.com/psf/requests/issues/2766) to know more about thread-safety in `requests`. + + Example: + ```py + import requests + from huggingface_hub import configure_http_backend, get_session + + # Create a factory function that returns a Session with configured proxies + def backend_factory() -> requests.Session: + session = requests.Session() + session.proxies = {"http": "http://10.10.1.10:3128", "https": "https://10.10.1.11:1080"} + return session + + # Set it as the default session factory + configure_http_backend(backend_factory=backend_factory) + + # In practice, this is mostly done internally in `huggingface_hub` + session = get_session() + ``` + """ + global _GLOBAL_BACKEND_FACTORY + _GLOBAL_BACKEND_FACTORY = backend_factory + reset_sessions() + + +def get_session() -> requests.Session: + """ + Get a `requests.Session` object, using the session factory from the user. + + Use [`get_session`] to get a configured Session. Since `requests.Session` is not guaranteed to be thread-safe, + `huggingface_hub` creates 1 Session instance per thread. They are all instantiated using the same `backend_factory` + set in [`configure_http_backend`]. A LRU cache is used to cache the created sessions (and connections) between + calls. Max size is 128 to avoid memory leaks if thousands of threads are spawned. + + See [this issue](https://github.com/psf/requests/issues/2766) to know more about thread-safety in `requests`. + + Example: + ```py + import requests + from huggingface_hub import configure_http_backend, get_session + + # Create a factory function that returns a Session with configured proxies + def backend_factory() -> requests.Session: + session = requests.Session() + session.proxies = {"http": "http://10.10.1.10:3128", "https": "https://10.10.1.11:1080"} + return session + + # Set it as the default session factory + configure_http_backend(backend_factory=backend_factory) + + # In practice, this is mostly done internally in `huggingface_hub` + session = get_session() + ``` + """ + return _get_session_from_cache(process_id=os.getpid(), thread_id=threading.get_ident()) + + +def reset_sessions() -> None: + """Reset the cache of sessions. + + Mostly used internally when sessions are reconfigured or an SSLError is raised. + See [`configure_http_backend`] for more details. + """ + _get_session_from_cache.cache_clear() + + +@lru_cache +def _get_session_from_cache(process_id: int, thread_id: int) -> requests.Session: + """ + Create a new session per thread using global factory. Using LRU cache (maxsize 128) to avoid memory leaks when + using thousands of threads. Cache is cleared when `configure_http_backend` is called. + """ + return _GLOBAL_BACKEND_FACTORY() + + +def http_backoff( + method: HTTP_METHOD_T, + url: str, + *, + max_retries: int = 5, + base_wait_time: float = 1, + max_wait_time: float = 8, + retry_on_exceptions: Union[Type[Exception], Tuple[Type[Exception], ...]] = ( + requests.Timeout, + requests.ConnectionError, + ), + retry_on_status_codes: Union[int, Tuple[int, ...]] = HTTPStatus.SERVICE_UNAVAILABLE, + **kwargs, +) -> Response: + """Wrapper around requests to retry calls on an endpoint, with exponential backoff. + + Endpoint call is retried on exceptions (ex: connection timeout, proxy error,...) + and/or on specific status codes (ex: service unavailable). If the call failed more + than `max_retries`, the exception is thrown or `raise_for_status` is called on the + response object. + + Re-implement mechanisms from the `backoff` library to avoid adding an external + dependencies to `hugging_face_hub`. See https://github.com/litl/backoff. + + Args: + method (`Literal["GET", "OPTIONS", "HEAD", "POST", "PUT", "PATCH", "DELETE"]`): + HTTP method to perform. + url (`str`): + The URL of the resource to fetch. + max_retries (`int`, *optional*, defaults to `5`): + Maximum number of retries, defaults to 5 (no retries). + base_wait_time (`float`, *optional*, defaults to `1`): + Duration (in seconds) to wait before retrying the first time. + Wait time between retries then grows exponentially, capped by + `max_wait_time`. + max_wait_time (`float`, *optional*, defaults to `8`): + Maximum duration (in seconds) to wait before retrying. + retry_on_exceptions (`Type[Exception]` or `Tuple[Type[Exception]]`, *optional*): + Define which exceptions must be caught to retry the request. Can be a single type or a tuple of types. + By default, retry on `requests.Timeout` and `requests.ConnectionError`. + retry_on_status_codes (`int` or `Tuple[int]`, *optional*, defaults to `503`): + Define on which status codes the request must be retried. By default, only + HTTP 503 Service Unavailable is retried. + **kwargs (`dict`, *optional*): + kwargs to pass to `requests.request`. + + Example: + ``` + >>> from huggingface_hub.utils import http_backoff + + # Same usage as "requests.request". + >>> response = http_backoff("GET", "https://www.google.com") + >>> response.raise_for_status() + + # If you expect a Gateway Timeout from time to time + >>> http_backoff("PUT", upload_url, data=data, retry_on_status_codes=504) + >>> response.raise_for_status() + ``` + + + + When using `requests` it is possible to stream data by passing an iterator to the + `data` argument. On http backoff this is a problem as the iterator is not reset + after a failed call. This issue is mitigated for file objects or any IO streams + by saving the initial position of the cursor (with `data.tell()`) and resetting the + cursor between each call (with `data.seek()`). For arbitrary iterators, http backoff + will fail. If this is a hard constraint for you, please let us know by opening an + issue on [Github](https://github.com/huggingface/huggingface_hub). + + + """ + if isinstance(retry_on_exceptions, type): # Tuple from single exception type + retry_on_exceptions = (retry_on_exceptions,) + + if isinstance(retry_on_status_codes, int): # Tuple from single status code + retry_on_status_codes = (retry_on_status_codes,) + + nb_tries = 0 + sleep_time = base_wait_time + + # If `data` is used and is a file object (or any IO), it will be consumed on the + # first HTTP request. We need to save the initial position so that the full content + # of the file is re-sent on http backoff. See warning tip in docstring. + io_obj_initial_pos = None + if "data" in kwargs and isinstance(kwargs["data"], (io.IOBase, SliceFileObj)): + io_obj_initial_pos = kwargs["data"].tell() + + session = get_session() + while True: + nb_tries += 1 + try: + # If `data` is used and is a file object (or any IO), set back cursor to + # initial position. + if io_obj_initial_pos is not None: + kwargs["data"].seek(io_obj_initial_pos) + + # Perform request and return if status_code is not in the retry list. + response = session.request(method=method, url=url, **kwargs) + if response.status_code not in retry_on_status_codes: + return response + + # Wrong status code returned (HTTP 503 for instance) + logger.warning(f"HTTP Error {response.status_code} thrown while requesting {method} {url}") + if nb_tries > max_retries: + response.raise_for_status() # Will raise uncaught exception + # We return response to avoid infinite loop in the corner case where the + # user ask for retry on a status code that doesn't raise_for_status. + return response + + except retry_on_exceptions as err: + logger.warning(f"'{err}' thrown while requesting {method} {url}") + + if isinstance(err, requests.ConnectionError): + reset_sessions() # In case of SSLError it's best to reset the shared requests.Session objects + + if nb_tries > max_retries: + raise err + + # Sleep for X seconds + logger.warning(f"Retrying in {sleep_time}s [Retry {nb_tries}/{max_retries}].") + time.sleep(sleep_time) + + # Update sleep time for next retry + sleep_time = min(max_wait_time, sleep_time * 2) # Exponential backoff + + +def fix_hf_endpoint_in_url(url: str, endpoint: Optional[str]) -> str: + """Replace the default endpoint in a URL by a custom one. + + This is useful when using a proxy and the Hugging Face Hub returns a URL with the default endpoint. + """ + endpoint = endpoint.rstrip("/") if endpoint else constants.ENDPOINT + # check if a proxy has been set => if yes, update the returned URL to use the proxy + if endpoint not in (constants._HF_DEFAULT_ENDPOINT, constants._HF_DEFAULT_STAGING_ENDPOINT): + url = url.replace(constants._HF_DEFAULT_ENDPOINT, endpoint) + url = url.replace(constants._HF_DEFAULT_STAGING_ENDPOINT, endpoint) + return url + + +def hf_raise_for_status(response: Response, endpoint_name: Optional[str] = None) -> None: + """ + Internal version of `response.raise_for_status()` that will refine a + potential HTTPError. Raised exception will be an instance of `HfHubHTTPError`. + + This helper is meant to be the unique method to raise_for_status when making a call + to the Hugging Face Hub. + + + Example: + ```py + import requests + from huggingface_hub.utils import get_session, hf_raise_for_status, HfHubHTTPError + + response = get_session().post(...) + try: + hf_raise_for_status(response) + except HfHubHTTPError as e: + print(str(e)) # formatted message + e.request_id, e.server_message # details returned by server + + # Complete the error message with additional information once it's raised + e.append_to_message("\n`create_commit` expects the repository to exist.") + raise + ``` + + Args: + response (`Response`): + Response from the server. + endpoint_name (`str`, *optional*): + Name of the endpoint that has been called. If provided, the error message + will be more complete. + + + + Raises when the request has failed: + + - [`~utils.RepositoryNotFoundError`] + If the repository to download from cannot be found. This may be because it + doesn't exist, because `repo_type` is not set correctly, or because the repo + is `private` and you do not have access. + - [`~utils.GatedRepoError`] + If the repository exists but is gated and the user is not on the authorized + list. + - [`~utils.RevisionNotFoundError`] + If the repository exists but the revision couldn't be find. + - [`~utils.EntryNotFoundError`] + If the repository exists but the entry (e.g. the requested file) couldn't be + find. + - [`~utils.BadRequestError`] + If request failed with a HTTP 400 BadRequest error. + - [`~utils.HfHubHTTPError`] + If request failed for a reason not listed above. + + + """ + try: + response.raise_for_status() + except HTTPError as e: + error_code = response.headers.get("X-Error-Code") + error_message = response.headers.get("X-Error-Message") + + if error_code == "RevisionNotFound": + message = f"{response.status_code} Client Error." + "\n\n" + f"Revision Not Found for url: {response.url}." + raise _format(RevisionNotFoundError, message, response) from e + + elif error_code == "EntryNotFound": + message = f"{response.status_code} Client Error." + "\n\n" + f"Entry Not Found for url: {response.url}." + raise _format(EntryNotFoundError, message, response) from e + + elif error_code == "GatedRepo": + message = ( + f"{response.status_code} Client Error." + "\n\n" + f"Cannot access gated repo for url {response.url}." + ) + raise _format(GatedRepoError, message, response) from e + + elif error_message == "Access to this resource is disabled.": + message = ( + f"{response.status_code} Client Error." + + "\n\n" + + f"Cannot access repository for url {response.url}." + + "\n" + + "Access to this resource is disabled." + ) + raise _format(DisabledRepoError, message, response) from e + + elif error_code == "RepoNotFound" or ( + response.status_code == 401 + and error_message != "Invalid credentials in Authorization header" + and response.request is not None + and response.request.url is not None + and REPO_API_REGEX.search(response.request.url) is not None + ): + # 401 is misleading as it is returned for: + # - private and gated repos if user is not authenticated + # - missing repos + # => for now, we process them as `RepoNotFound` anyway. + # See https://gist.github.com/Wauplin/46c27ad266b15998ce56a6603796f0b9 + message = ( + f"{response.status_code} Client Error." + + "\n\n" + + f"Repository Not Found for url: {response.url}." + + "\nPlease make sure you specified the correct `repo_id` and" + " `repo_type`.\nIf you are trying to access a private or gated repo," + " make sure you are authenticated. For more details, see" + " https://huggingface.co/docs/huggingface_hub/authentication" + ) + raise _format(RepositoryNotFoundError, message, response) from e + + elif response.status_code == 400: + message = ( + f"\n\nBad request for {endpoint_name} endpoint:" if endpoint_name is not None else "\n\nBad request:" + ) + raise _format(BadRequestError, message, response) from e + + elif response.status_code == 403: + message = ( + f"\n\n{response.status_code} Forbidden: {error_message}." + + f"\nCannot access content at: {response.url}." + + "\nMake sure your token has the correct permissions." + ) + raise _format(HfHubHTTPError, message, response) from e + + elif response.status_code == 416: + range_header = response.request.headers.get("Range") + message = f"{e}. Requested range: {range_header}. Content-Range: {response.headers.get('Content-Range')}." + raise _format(HfHubHTTPError, message, response) from e + + # Convert `HTTPError` into a `HfHubHTTPError` to display request information + # as well (request id and/or server error message) + raise _format(HfHubHTTPError, str(e), response) from e + + +def _format(error_type: Type[HfHubHTTPError], custom_message: str, response: Response) -> HfHubHTTPError: + server_errors = [] + + # Retrieve server error from header + from_headers = response.headers.get("X-Error-Message") + if from_headers is not None: + server_errors.append(from_headers) + + # Retrieve server error from body + try: + # Case errors are returned in a JSON format + data = response.json() + + error = data.get("error") + if error is not None: + if isinstance(error, list): + # Case {'error': ['my error 1', 'my error 2']} + server_errors.extend(error) + else: + # Case {'error': 'my error'} + server_errors.append(error) + + errors = data.get("errors") + if errors is not None: + # Case {'errors': [{'message': 'my error 1'}, {'message': 'my error 2'}]} + for error in errors: + if "message" in error: + server_errors.append(error["message"]) + + except JSONDecodeError: + # If content is not JSON and not HTML, append the text + content_type = response.headers.get("Content-Type", "") + if response.text and "html" not in content_type.lower(): + server_errors.append(response.text) + + # Strip all server messages + server_errors = [str(line).strip() for line in server_errors if str(line).strip()] + + # Deduplicate server messages (keep order) + # taken from https://stackoverflow.com/a/17016257 + server_errors = list(dict.fromkeys(server_errors)) + + # Format server error + server_message = "\n".join(server_errors) + + # Add server error to custom message + final_error_message = custom_message + if server_message and server_message.lower() not in custom_message.lower(): + if "\n\n" in custom_message: + final_error_message += "\n" + server_message + else: + final_error_message += "\n\n" + server_message + # Add Request ID + request_id = str(response.headers.get(X_REQUEST_ID, "")) + if request_id: + request_id_message = f" (Request ID: {request_id})" + else: + # Fallback to X-Amzn-Trace-Id + request_id = str(response.headers.get(X_AMZN_TRACE_ID, "")) + if request_id: + request_id_message = f" (Amzn Trace ID: {request_id})" + if request_id and request_id.lower() not in final_error_message.lower(): + if "\n" in final_error_message: + newline_index = final_error_message.index("\n") + final_error_message = ( + final_error_message[:newline_index] + request_id_message + final_error_message[newline_index:] + ) + else: + final_error_message += request_id_message + + # Return + return error_type(final_error_message.strip(), response=response, server_message=server_message or None) + + +def _curlify(request: requests.PreparedRequest) -> str: + """Convert a `requests.PreparedRequest` into a curl command (str). + + Used for debug purposes only. + + Implementation vendored from https://github.com/ofw/curlify/blob/master/curlify.py. + MIT License Copyright (c) 2016 Egor. + """ + parts: List[Tuple[Any, Any]] = [ + ("curl", None), + ("-X", request.method), + ] + + for k, v in sorted(request.headers.items()): + if k.lower() == "authorization": + v = "" # Hide authorization header, no matter its value (can be Bearer, Key, etc.) + parts += [("-H", "{0}: {1}".format(k, v))] + + if request.body: + body = request.body + if isinstance(body, bytes): + body = body.decode("utf-8", errors="ignore") + elif hasattr(body, "read"): + body = "" # Don't try to read it to avoid consuming the stream + if len(body) > 1000: + body = body[:1000] + " ... [truncated]" + parts += [("-d", body.replace("\n", ""))] + + parts += [(None, request.url)] + + flat_parts = [] + for k, v in parts: + if k: + flat_parts.append(quote(k)) + if v: + flat_parts.append(quote(v)) + + return " ".join(flat_parts) + + +# Regex to parse HTTP Range header +RANGE_REGEX = re.compile(r"^\s*bytes\s*=\s*(\d*)\s*-\s*(\d*)\s*$", re.IGNORECASE) + + +def _adjust_range_header(original_range: Optional[str], resume_size: int) -> Optional[str]: + """ + Adjust HTTP Range header to account for resume position. + """ + if not original_range: + return f"bytes={resume_size}-" + + if "," in original_range: + raise ValueError(f"Multiple ranges detected - {original_range!r}, not supported yet.") + + match = RANGE_REGEX.match(original_range) + if not match: + raise RuntimeError(f"Invalid range format - {original_range!r}.") + start, end = match.groups() + + if not start: + if not end: + raise RuntimeError(f"Invalid range format - {original_range!r}.") + + new_suffix = int(end) - resume_size + new_range = f"bytes=-{new_suffix}" + if new_suffix <= 0: + raise RuntimeError(f"Empty new range - {new_range!r}.") + return new_range + + start = int(start) + new_start = start + resume_size + if end: + end = int(end) + new_range = f"bytes={new_start}-{end}" + if new_start > end: + raise RuntimeError(f"Empty new range - {new_range!r}.") + return new_range + + return f"bytes={new_start}-" diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_lfs.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_lfs.py new file mode 100644 index 0000000000000000000000000000000000000000..307f371ffa79a8ae726ee03458c52e230a792898 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_lfs.py @@ -0,0 +1,110 @@ +# coding=utf-8 +# Copyright 2019-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Git LFS related utilities""" + +import io +import os +from contextlib import AbstractContextManager +from typing import BinaryIO + + +class SliceFileObj(AbstractContextManager): + """ + Utility context manager to read a *slice* of a seekable file-like object as a seekable, file-like object. + + This is NOT thread safe + + Inspired by stackoverflow.com/a/29838711/593036 + + Credits to @julien-c + + Args: + fileobj (`BinaryIO`): + A file-like object to slice. MUST implement `tell()` and `seek()` (and `read()` of course). + `fileobj` will be reset to its original position when exiting the context manager. + seek_from (`int`): + The start of the slice (offset from position 0 in bytes). + read_limit (`int`): + The maximum number of bytes to read from the slice. + + Attributes: + previous_position (`int`): + The previous position + + Examples: + + Reading 200 bytes with an offset of 128 bytes from a file (ie bytes 128 to 327): + ```python + >>> with open("path/to/file", "rb") as file: + ... with SliceFileObj(file, seek_from=128, read_limit=200) as fslice: + ... fslice.read(...) + ``` + + Reading a file in chunks of 512 bytes + ```python + >>> import os + >>> chunk_size = 512 + >>> file_size = os.getsize("path/to/file") + >>> with open("path/to/file", "rb") as file: + ... for chunk_idx in range(ceil(file_size / chunk_size)): + ... with SliceFileObj(file, seek_from=chunk_idx * chunk_size, read_limit=chunk_size) as fslice: + ... chunk = fslice.read(...) + + ``` + """ + + def __init__(self, fileobj: BinaryIO, seek_from: int, read_limit: int): + self.fileobj = fileobj + self.seek_from = seek_from + self.read_limit = read_limit + + def __enter__(self): + self._previous_position = self.fileobj.tell() + end_of_stream = self.fileobj.seek(0, os.SEEK_END) + self._len = min(self.read_limit, end_of_stream - self.seek_from) + # ^^ The actual number of bytes that can be read from the slice + self.fileobj.seek(self.seek_from, io.SEEK_SET) + return self + + def __exit__(self, exc_type, exc_value, traceback): + self.fileobj.seek(self._previous_position, io.SEEK_SET) + + def read(self, n: int = -1): + pos = self.tell() + if pos >= self._len: + return b"" + remaining_amount = self._len - pos + data = self.fileobj.read(remaining_amount if n < 0 else min(n, remaining_amount)) + return data + + def tell(self) -> int: + return self.fileobj.tell() - self.seek_from + + def seek(self, offset: int, whence: int = os.SEEK_SET) -> int: + start = self.seek_from + end = start + self._len + if whence in (os.SEEK_SET, os.SEEK_END): + offset = start + offset if whence == os.SEEK_SET else end + offset + offset = max(start, min(offset, end)) + whence = os.SEEK_SET + elif whence == os.SEEK_CUR: + cur_pos = self.fileobj.tell() + offset = max(start - cur_pos, min(offset, end - cur_pos)) + else: + raise ValueError(f"whence value {whence} is not supported") + return self.fileobj.seek(offset, whence) - self.seek_from + + def __iter__(self): + yield self.read(n=4 * 1024 * 1024) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_pagination.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_pagination.py new file mode 100644 index 0000000000000000000000000000000000000000..3ef2b6668ba09d4c6a715509131d157139a1fac0 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_pagination.py @@ -0,0 +1,52 @@ +# coding=utf-8 +# Copyright 2022-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains utilities to handle pagination on Huggingface Hub.""" + +from typing import Dict, Iterable, Optional + +import requests + +from . import get_session, hf_raise_for_status, http_backoff, logging + + +logger = logging.get_logger(__name__) + + +def paginate(path: str, params: Dict, headers: Dict) -> Iterable: + """Fetch a list of models/datasets/spaces and paginate through results. + + This is using the same "Link" header format as GitHub. + See: + - https://requests.readthedocs.io/en/latest/api/#requests.Response.links + - https://docs.github.com/en/rest/guides/traversing-with-pagination#link-header + """ + session = get_session() + r = session.get(path, params=params, headers=headers) + hf_raise_for_status(r) + yield from r.json() + + # Follow pages + # Next link already contains query params + next_page = _get_next_page(r) + while next_page is not None: + logger.debug(f"Pagination detected. Requesting next page: {next_page}") + r = http_backoff("GET", next_page, max_retries=20, retry_on_status_codes=429, headers=headers) + hf_raise_for_status(r) + yield from r.json() + next_page = _get_next_page(r) + + +def _get_next_page(response: requests.Response) -> Optional[str]: + return response.links.get("next", {}).get("url") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_paths.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_paths.py new file mode 100644 index 0000000000000000000000000000000000000000..4f2c0ebce070bbde4900e919a3aca7cfc331e747 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_paths.py @@ -0,0 +1,141 @@ +# coding=utf-8 +# Copyright 2022-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains utilities to handle paths in Huggingface Hub.""" + +from fnmatch import fnmatch +from pathlib import Path +from typing import Callable, Generator, Iterable, List, Optional, TypeVar, Union + + +T = TypeVar("T") + +# Always ignore `.git` and `.cache/huggingface` folders in commits +DEFAULT_IGNORE_PATTERNS = [ + ".git", + ".git/*", + "*/.git", + "**/.git/**", + ".cache/huggingface", + ".cache/huggingface/*", + "*/.cache/huggingface", + "**/.cache/huggingface/**", +] +# Forbidden to commit these folders +FORBIDDEN_FOLDERS = [".git", ".cache"] + + +def filter_repo_objects( + items: Iterable[T], + *, + allow_patterns: Optional[Union[List[str], str]] = None, + ignore_patterns: Optional[Union[List[str], str]] = None, + key: Optional[Callable[[T], str]] = None, +) -> Generator[T, None, None]: + """Filter repo objects based on an allowlist and a denylist. + + Input must be a list of paths (`str` or `Path`) or a list of arbitrary objects. + In the later case, `key` must be provided and specifies a function of one argument + that is used to extract a path from each element in iterable. + + Patterns are Unix shell-style wildcards which are NOT regular expressions. See + https://docs.python.org/3/library/fnmatch.html for more details. + + Args: + items (`Iterable`): + List of items to filter. + allow_patterns (`str` or `List[str]`, *optional*): + Patterns constituting the allowlist. If provided, item paths must match at + least one pattern from the allowlist. + ignore_patterns (`str` or `List[str]`, *optional*): + Patterns constituting the denylist. If provided, item paths must not match + any patterns from the denylist. + key (`Callable[[T], str]`, *optional*): + Single-argument function to extract a path from each item. If not provided, + the `items` must already be `str` or `Path`. + + Returns: + Filtered list of objects, as a generator. + + Raises: + :class:`ValueError`: + If `key` is not provided and items are not `str` or `Path`. + + Example usage with paths: + ```python + >>> # Filter only PDFs that are not hidden. + >>> list(filter_repo_objects( + ... ["aaa.PDF", "bbb.jpg", ".ccc.pdf", ".ddd.png"], + ... allow_patterns=["*.pdf"], + ... ignore_patterns=[".*"], + ... )) + ["aaa.pdf"] + ``` + + Example usage with objects: + ```python + >>> list(filter_repo_objects( + ... [ + ... CommitOperationAdd(path_or_fileobj="/tmp/aaa.pdf", path_in_repo="aaa.pdf") + ... CommitOperationAdd(path_or_fileobj="/tmp/bbb.jpg", path_in_repo="bbb.jpg") + ... CommitOperationAdd(path_or_fileobj="/tmp/.ccc.pdf", path_in_repo=".ccc.pdf") + ... CommitOperationAdd(path_or_fileobj="/tmp/.ddd.png", path_in_repo=".ddd.png") + ... ], + ... allow_patterns=["*.pdf"], + ... ignore_patterns=[".*"], + ... key=lambda x: x.repo_in_path + ... )) + [CommitOperationAdd(path_or_fileobj="/tmp/aaa.pdf", path_in_repo="aaa.pdf")] + ``` + """ + if isinstance(allow_patterns, str): + allow_patterns = [allow_patterns] + + if isinstance(ignore_patterns, str): + ignore_patterns = [ignore_patterns] + + if allow_patterns is not None: + allow_patterns = [_add_wildcard_to_directories(p) for p in allow_patterns] + if ignore_patterns is not None: + ignore_patterns = [_add_wildcard_to_directories(p) for p in ignore_patterns] + + if key is None: + + def _identity(item: T) -> str: + if isinstance(item, str): + return item + if isinstance(item, Path): + return str(item) + raise ValueError(f"Please provide `key` argument in `filter_repo_objects`: `{item}` is not a string.") + + key = _identity # Items must be `str` or `Path`, otherwise raise ValueError + + for item in items: + path = key(item) + + # Skip if there's an allowlist and path doesn't match any + if allow_patterns is not None and not any(fnmatch(path, r) for r in allow_patterns): + continue + + # Skip if there's a denylist and path matches any + if ignore_patterns is not None and any(fnmatch(path, r) for r in ignore_patterns): + continue + + yield item + + +def _add_wildcard_to_directories(pattern: str) -> str: + if pattern[-1] == "/": + return pattern + "*" + return pattern diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_runtime.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_runtime.py new file mode 100644 index 0000000000000000000000000000000000000000..9e38e6da7493074703032150b8b7d6766ed0fed6 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_runtime.py @@ -0,0 +1,395 @@ +# coding=utf-8 +# Copyright 2022-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Check presence of installed packages at runtime.""" + +import importlib.metadata +import os +import platform +import sys +import warnings +from typing import Any, Dict + +from .. import __version__, constants + + +_PY_VERSION: str = sys.version.split()[0].rstrip("+") + +_package_versions = {} + +_CANDIDATES = { + "aiohttp": {"aiohttp"}, + "fastai": {"fastai"}, + "fastapi": {"fastapi"}, + "fastcore": {"fastcore"}, + "gradio": {"gradio"}, + "graphviz": {"graphviz"}, + "hf_transfer": {"hf_transfer"}, + "hf_xet": {"hf_xet"}, + "jinja": {"Jinja2"}, + "keras": {"keras"}, + "numpy": {"numpy"}, + "pillow": {"Pillow"}, + "pydantic": {"pydantic"}, + "pydot": {"pydot"}, + "safetensors": {"safetensors"}, + "tensorboard": {"tensorboardX"}, + "tensorflow": ( + "tensorflow", + "tensorflow-cpu", + "tensorflow-gpu", + "tf-nightly", + "tf-nightly-cpu", + "tf-nightly-gpu", + "intel-tensorflow", + "intel-tensorflow-avx512", + "tensorflow-rocm", + "tensorflow-macos", + ), + "torch": {"torch"}, +} + +# Check once at runtime +for candidate_name, package_names in _CANDIDATES.items(): + _package_versions[candidate_name] = "N/A" + for name in package_names: + try: + _package_versions[candidate_name] = importlib.metadata.version(name) + break + except importlib.metadata.PackageNotFoundError: + pass + + +def _get_version(package_name: str) -> str: + return _package_versions.get(package_name, "N/A") + + +def is_package_available(package_name: str) -> bool: + return _get_version(package_name) != "N/A" + + +# Python +def get_python_version() -> str: + return _PY_VERSION + + +# Huggingface Hub +def get_hf_hub_version() -> str: + return __version__ + + +# aiohttp +def is_aiohttp_available() -> bool: + return is_package_available("aiohttp") + + +def get_aiohttp_version() -> str: + return _get_version("aiohttp") + + +# FastAI +def is_fastai_available() -> bool: + return is_package_available("fastai") + + +def get_fastai_version() -> str: + return _get_version("fastai") + + +# FastAPI +def is_fastapi_available() -> bool: + return is_package_available("fastapi") + + +def get_fastapi_version() -> str: + return _get_version("fastapi") + + +# Fastcore +def is_fastcore_available() -> bool: + return is_package_available("fastcore") + + +def get_fastcore_version() -> str: + return _get_version("fastcore") + + +# FastAI +def is_gradio_available() -> bool: + return is_package_available("gradio") + + +def get_gradio_version() -> str: + return _get_version("gradio") + + +# Graphviz +def is_graphviz_available() -> bool: + return is_package_available("graphviz") + + +def get_graphviz_version() -> str: + return _get_version("graphviz") + + +# hf_transfer +def is_hf_transfer_available() -> bool: + return is_package_available("hf_transfer") + + +def get_hf_transfer_version() -> str: + return _get_version("hf_transfer") + + +# xet +def is_xet_available() -> bool: + # since hf_xet is automatically used if available, allow explicit disabling via environment variable + if constants.HF_HUB_DISABLE_XET: + return False + + return is_package_available("hf_xet") + + +def get_xet_version() -> str: + return _get_version("hf_xet") + + +# keras +def is_keras_available() -> bool: + return is_package_available("keras") + + +def get_keras_version() -> str: + return _get_version("keras") + + +# Numpy +def is_numpy_available() -> bool: + return is_package_available("numpy") + + +def get_numpy_version() -> str: + return _get_version("numpy") + + +# Jinja +def is_jinja_available() -> bool: + return is_package_available("jinja") + + +def get_jinja_version() -> str: + return _get_version("jinja") + + +# Pillow +def is_pillow_available() -> bool: + return is_package_available("pillow") + + +def get_pillow_version() -> str: + return _get_version("pillow") + + +# Pydantic +def is_pydantic_available() -> bool: + if not is_package_available("pydantic"): + return False + # For Pydantic, we add an extra check to test whether it is correctly installed or not. If both pydantic 2.x and + # typing_extensions<=4.5.0 are installed, then pydantic will fail at import time. This should not happen when + # it is installed with `pip install huggingface_hub[inference]` but it can happen when it is installed manually + # by the user in an environment that we don't control. + # + # Usually we won't need to do this kind of check on optional dependencies. However, pydantic is a special case + # as it is automatically imported when doing `from huggingface_hub import ...` even if the user doesn't use it. + # + # See https://github.com/huggingface/huggingface_hub/pull/1829 for more details. + try: + from pydantic import validator # noqa: F401 + except ImportError: + # Example: "ImportError: cannot import name 'TypeAliasType' from 'typing_extensions'" + warnings.warn( + "Pydantic is installed but cannot be imported. Please check your installation. `huggingface_hub` will " + "default to not using Pydantic. Error message: '{e}'" + ) + return False + return True + + +def get_pydantic_version() -> str: + return _get_version("pydantic") + + +# Pydot +def is_pydot_available() -> bool: + return is_package_available("pydot") + + +def get_pydot_version() -> str: + return _get_version("pydot") + + +# Tensorboard +def is_tensorboard_available() -> bool: + return is_package_available("tensorboard") + + +def get_tensorboard_version() -> str: + return _get_version("tensorboard") + + +# Tensorflow +def is_tf_available() -> bool: + return is_package_available("tensorflow") + + +def get_tf_version() -> str: + return _get_version("tensorflow") + + +# Torch +def is_torch_available() -> bool: + return is_package_available("torch") + + +def get_torch_version() -> str: + return _get_version("torch") + + +# Safetensors +def is_safetensors_available() -> bool: + return is_package_available("safetensors") + + +# Shell-related helpers +try: + # Set to `True` if script is running in a Google Colab notebook. + # If running in Google Colab, git credential store is set globally which makes the + # warning disappear. See https://github.com/huggingface/huggingface_hub/issues/1043 + # + # Taken from https://stackoverflow.com/a/63519730. + _is_google_colab = "google.colab" in str(get_ipython()) # type: ignore # noqa: F821 +except NameError: + _is_google_colab = False + + +def is_notebook() -> bool: + """Return `True` if code is executed in a notebook (Jupyter, Colab, QTconsole). + + Taken from https://stackoverflow.com/a/39662359. + Adapted to make it work with Google colab as well. + """ + try: + shell_class = get_ipython().__class__ # type: ignore # noqa: F821 + for parent_class in shell_class.__mro__: # e.g. "is subclass of" + if parent_class.__name__ == "ZMQInteractiveShell": + return True # Jupyter notebook, Google colab or qtconsole + return False + except NameError: + return False # Probably standard Python interpreter + + +def is_google_colab() -> bool: + """Return `True` if code is executed in a Google colab. + + Taken from https://stackoverflow.com/a/63519730. + """ + return _is_google_colab + + +def is_colab_enterprise() -> bool: + """Return `True` if code is executed in a Google Colab Enterprise environment.""" + return os.environ.get("VERTEX_PRODUCT") == "COLAB_ENTERPRISE" + + +def dump_environment_info() -> Dict[str, Any]: + """Dump information about the machine to help debugging issues. + + Similar helper exist in: + - `datasets` (https://github.com/huggingface/datasets/blob/main/src/datasets/commands/env.py) + - `diffusers` (https://github.com/huggingface/diffusers/blob/main/src/diffusers/commands/env.py) + - `transformers` (https://github.com/huggingface/transformers/blob/main/src/transformers/commands/env.py) + """ + from huggingface_hub import get_token, whoami + from huggingface_hub.utils import list_credential_helpers + + token = get_token() + + # Generic machine info + info: Dict[str, Any] = { + "huggingface_hub version": get_hf_hub_version(), + "Platform": platform.platform(), + "Python version": get_python_version(), + } + + # Interpreter info + try: + shell_class = get_ipython().__class__ # type: ignore # noqa: F821 + info["Running in iPython ?"] = "Yes" + info["iPython shell"] = shell_class.__name__ + except NameError: + info["Running in iPython ?"] = "No" + info["Running in notebook ?"] = "Yes" if is_notebook() else "No" + info["Running in Google Colab ?"] = "Yes" if is_google_colab() else "No" + info["Running in Google Colab Enterprise ?"] = "Yes" if is_colab_enterprise() else "No" + # Login info + info["Token path ?"] = constants.HF_TOKEN_PATH + info["Has saved token ?"] = token is not None + if token is not None: + try: + info["Who am I ?"] = whoami()["name"] + except Exception: + pass + + try: + info["Configured git credential helpers"] = ", ".join(list_credential_helpers()) + except Exception: + pass + + # Installed dependencies + info["FastAI"] = get_fastai_version() + info["Tensorflow"] = get_tf_version() + info["Torch"] = get_torch_version() + info["Jinja2"] = get_jinja_version() + info["Graphviz"] = get_graphviz_version() + info["keras"] = get_keras_version() + info["Pydot"] = get_pydot_version() + info["Pillow"] = get_pillow_version() + info["hf_transfer"] = get_hf_transfer_version() + info["gradio"] = get_gradio_version() + info["tensorboard"] = get_tensorboard_version() + info["numpy"] = get_numpy_version() + info["pydantic"] = get_pydantic_version() + info["aiohttp"] = get_aiohttp_version() + info["hf_xet"] = get_xet_version() + + # Environment variables + info["ENDPOINT"] = constants.ENDPOINT + info["HF_HUB_CACHE"] = constants.HF_HUB_CACHE + info["HF_ASSETS_CACHE"] = constants.HF_ASSETS_CACHE + info["HF_TOKEN_PATH"] = constants.HF_TOKEN_PATH + info["HF_STORED_TOKENS_PATH"] = constants.HF_STORED_TOKENS_PATH + info["HF_HUB_OFFLINE"] = constants.HF_HUB_OFFLINE + info["HF_HUB_DISABLE_TELEMETRY"] = constants.HF_HUB_DISABLE_TELEMETRY + info["HF_HUB_DISABLE_PROGRESS_BARS"] = constants.HF_HUB_DISABLE_PROGRESS_BARS + info["HF_HUB_DISABLE_SYMLINKS_WARNING"] = constants.HF_HUB_DISABLE_SYMLINKS_WARNING + info["HF_HUB_DISABLE_EXPERIMENTAL_WARNING"] = constants.HF_HUB_DISABLE_EXPERIMENTAL_WARNING + info["HF_HUB_DISABLE_IMPLICIT_TOKEN"] = constants.HF_HUB_DISABLE_IMPLICIT_TOKEN + info["HF_HUB_DISABLE_XET"] = constants.HF_HUB_DISABLE_XET + info["HF_HUB_ENABLE_HF_TRANSFER"] = constants.HF_HUB_ENABLE_HF_TRANSFER + info["HF_HUB_ETAG_TIMEOUT"] = constants.HF_HUB_ETAG_TIMEOUT + info["HF_HUB_DOWNLOAD_TIMEOUT"] = constants.HF_HUB_DOWNLOAD_TIMEOUT + + print("\nCopy-and-paste the text below in your GitHub issue.\n") + print("\n".join([f"- {prop}: {val}" for prop, val in info.items()]) + "\n") + return info diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_safetensors.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_safetensors.py new file mode 100644 index 0000000000000000000000000000000000000000..38546c6d34db786c62861e1706f747a21b7012bf --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_safetensors.py @@ -0,0 +1,111 @@ +import functools +import operator +from collections import defaultdict +from dataclasses import dataclass, field +from typing import Dict, List, Literal, Optional, Tuple + + +FILENAME_T = str +TENSOR_NAME_T = str +DTYPE_T = Literal["F64", "F32", "F16", "BF16", "I64", "I32", "I16", "I8", "U8", "BOOL"] + + +@dataclass +class TensorInfo: + """Information about a tensor. + + For more details regarding the safetensors format, check out https://huggingface.co/docs/safetensors/index#format. + + Attributes: + dtype (`str`): + The data type of the tensor ("F64", "F32", "F16", "BF16", "I64", "I32", "I16", "I8", "U8", "BOOL"). + shape (`List[int]`): + The shape of the tensor. + data_offsets (`Tuple[int, int]`): + The offsets of the data in the file as a tuple `[BEGIN, END]`. + parameter_count (`int`): + The number of parameters in the tensor. + """ + + dtype: DTYPE_T + shape: List[int] + data_offsets: Tuple[int, int] + parameter_count: int = field(init=False) + + def __post_init__(self) -> None: + # Taken from https://stackoverflow.com/a/13840436 + try: + self.parameter_count = functools.reduce(operator.mul, self.shape) + except TypeError: + self.parameter_count = 1 # scalar value has no shape + + +@dataclass +class SafetensorsFileMetadata: + """Metadata for a Safetensors file hosted on the Hub. + + This class is returned by [`parse_safetensors_file_metadata`]. + + For more details regarding the safetensors format, check out https://huggingface.co/docs/safetensors/index#format. + + Attributes: + metadata (`Dict`): + The metadata contained in the file. + tensors (`Dict[str, TensorInfo]`): + A map of all tensors. Keys are tensor names and values are information about the corresponding tensor, as a + [`TensorInfo`] object. + parameter_count (`Dict[str, int]`): + A map of the number of parameters per data type. Keys are data types and values are the number of parameters + of that data type. + """ + + metadata: Dict[str, str] + tensors: Dict[TENSOR_NAME_T, TensorInfo] + parameter_count: Dict[DTYPE_T, int] = field(init=False) + + def __post_init__(self) -> None: + parameter_count: Dict[DTYPE_T, int] = defaultdict(int) + for tensor in self.tensors.values(): + parameter_count[tensor.dtype] += tensor.parameter_count + self.parameter_count = dict(parameter_count) + + +@dataclass +class SafetensorsRepoMetadata: + """Metadata for a Safetensors repo. + + A repo is considered to be a Safetensors repo if it contains either a 'model.safetensors' weight file (non-shared + model) or a 'model.safetensors.index.json' index file (sharded model) at its root. + + This class is returned by [`get_safetensors_metadata`]. + + For more details regarding the safetensors format, check out https://huggingface.co/docs/safetensors/index#format. + + Attributes: + metadata (`Dict`, *optional*): + The metadata contained in the 'model.safetensors.index.json' file, if it exists. Only populated for sharded + models. + sharded (`bool`): + Whether the repo contains a sharded model or not. + weight_map (`Dict[str, str]`): + A map of all weights. Keys are tensor names and values are filenames of the files containing the tensors. + files_metadata (`Dict[str, SafetensorsFileMetadata]`): + A map of all files metadata. Keys are filenames and values are the metadata of the corresponding file, as + a [`SafetensorsFileMetadata`] object. + parameter_count (`Dict[str, int]`): + A map of the number of parameters per data type. Keys are data types and values are the number of parameters + of that data type. + """ + + metadata: Optional[Dict] + sharded: bool + weight_map: Dict[TENSOR_NAME_T, FILENAME_T] # tensor name -> filename + files_metadata: Dict[FILENAME_T, SafetensorsFileMetadata] # filename -> metadata + parameter_count: Dict[DTYPE_T, int] = field(init=False) + + def __post_init__(self) -> None: + parameter_count: Dict[DTYPE_T, int] = defaultdict(int) + for file_metadata in self.files_metadata.values(): + for dtype, nb_parameters_ in file_metadata.parameter_count.items(): + parameter_count[dtype] += nb_parameters_ + self.parameter_count = dict(parameter_count) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_subprocess.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_subprocess.py new file mode 100644 index 0000000000000000000000000000000000000000..fdabf1c4df3b61dc610ae08eb7842df6af3552f3 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_subprocess.py @@ -0,0 +1,144 @@ +# coding=utf-8 +# Copyright 2021 The HuggingFace Inc. team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License +"""Contains utilities to easily handle subprocesses in `huggingface_hub`.""" + +import os +import subprocess +import sys +from contextlib import contextmanager +from io import StringIO +from pathlib import Path +from typing import IO, Generator, List, Optional, Tuple, Union + +from .logging import get_logger + + +logger = get_logger(__name__) + + +@contextmanager +def capture_output() -> Generator[StringIO, None, None]: + """Capture output that is printed to terminal. + + Taken from https://stackoverflow.com/a/34738440 + + Example: + ```py + >>> with capture_output() as output: + ... print("hello world") + >>> assert output.getvalue() == "hello world\n" + ``` + """ + output = StringIO() + previous_output = sys.stdout + sys.stdout = output + try: + yield output + finally: + sys.stdout = previous_output + + +def run_subprocess( + command: Union[str, List[str]], + folder: Optional[Union[str, Path]] = None, + check=True, + **kwargs, +) -> subprocess.CompletedProcess: + """ + Method to run subprocesses. Calling this will capture the `stderr` and `stdout`, + please call `subprocess.run` manually in case you would like for them not to + be captured. + + Args: + command (`str` or `List[str]`): + The command to execute as a string or list of strings. + folder (`str`, *optional*): + The folder in which to run the command. Defaults to current working + directory (from `os.getcwd()`). + check (`bool`, *optional*, defaults to `True`): + Setting `check` to `True` will raise a `subprocess.CalledProcessError` + when the subprocess has a non-zero exit code. + kwargs (`Dict[str]`): + Keyword arguments to be passed to the `subprocess.run` underlying command. + + Returns: + `subprocess.CompletedProcess`: The completed process. + """ + if isinstance(command, str): + command = command.split() + + if isinstance(folder, Path): + folder = str(folder) + + return subprocess.run( + command, + stderr=subprocess.PIPE, + stdout=subprocess.PIPE, + check=check, + encoding="utf-8", + errors="replace", # if not utf-8, replace char by � + cwd=folder or os.getcwd(), + **kwargs, + ) + + +@contextmanager +def run_interactive_subprocess( + command: Union[str, List[str]], + folder: Optional[Union[str, Path]] = None, + **kwargs, +) -> Generator[Tuple[IO[str], IO[str]], None, None]: + """Run a subprocess in an interactive mode in a context manager. + + Args: + command (`str` or `List[str]`): + The command to execute as a string or list of strings. + folder (`str`, *optional*): + The folder in which to run the command. Defaults to current working + directory (from `os.getcwd()`). + kwargs (`Dict[str]`): + Keyword arguments to be passed to the `subprocess.run` underlying command. + + Returns: + `Tuple[IO[str], IO[str]]`: A tuple with `stdin` and `stdout` to interact + with the process (input and output are utf-8 encoded). + + Example: + ```python + with _interactive_subprocess("git credential-store get") as (stdin, stdout): + # Write to stdin + stdin.write("url=hf.co\nusername=obama\n".encode("utf-8")) + stdin.flush() + + # Read from stdout + output = stdout.read().decode("utf-8") + ``` + """ + if isinstance(command, str): + command = command.split() + + with subprocess.Popen( + command, + stdin=subprocess.PIPE, + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT, + encoding="utf-8", + errors="replace", # if not utf-8, replace char by � + cwd=folder or os.getcwd(), + **kwargs, + ) as process: + assert process.stdin is not None, "subprocess is opened as subprocess.PIPE" + assert process.stdout is not None, "subprocess is opened as subprocess.PIPE" + yield process.stdin, process.stdout diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_telemetry.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_telemetry.py new file mode 100644 index 0000000000000000000000000000000000000000..2ba4a6349a8de1c565263ec73d235d36f88b68cf --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_telemetry.py @@ -0,0 +1,126 @@ +from queue import Queue +from threading import Lock, Thread +from typing import Dict, Optional, Union +from urllib.parse import quote + +from .. import constants, logging +from . import build_hf_headers, get_session, hf_raise_for_status + + +logger = logging.get_logger(__name__) + +# Telemetry is sent by a separate thread to avoid blocking the main thread. +# A daemon thread is started once and consume tasks from the _TELEMETRY_QUEUE. +# If the thread stops for some reason -shouldn't happen-, we restart a new one. +_TELEMETRY_THREAD: Optional[Thread] = None +_TELEMETRY_THREAD_LOCK = Lock() # Lock to avoid starting multiple threads in parallel +_TELEMETRY_QUEUE: Queue = Queue() + + +def send_telemetry( + topic: str, + *, + library_name: Optional[str] = None, + library_version: Optional[str] = None, + user_agent: Union[Dict, str, None] = None, +) -> None: + """ + Sends telemetry that helps tracking usage of different HF libraries. + + This usage data helps us debug issues and prioritize new features. However, we understand that not everyone wants + to share additional information, and we respect your privacy. You can disable telemetry collection by setting the + `HF_HUB_DISABLE_TELEMETRY=1` as environment variable. Telemetry is also disabled in offline mode (i.e. when setting + `HF_HUB_OFFLINE=1`). + + Telemetry collection is run in a separate thread to minimize impact for the user. + + Args: + topic (`str`): + Name of the topic that is monitored. The topic is directly used to build the URL. If you want to monitor + subtopics, just use "/" separation. Examples: "gradio", "transformers/examples",... + library_name (`str`, *optional*): + The name of the library that is making the HTTP request. Will be added to the user-agent header. + library_version (`str`, *optional*): + The version of the library that is making the HTTP request. Will be added to the user-agent header. + user_agent (`str`, `dict`, *optional*): + The user agent info in the form of a dictionary or a single string. It will be completed with information about the installed packages. + + Example: + ```py + >>> from huggingface_hub.utils import send_telemetry + + # Send telemetry without library information + >>> send_telemetry("ping") + + # Send telemetry to subtopic with library information + >>> send_telemetry("gradio/local_link", library_name="gradio", library_version="3.22.1") + + # Send telemetry with additional data + >>> send_telemetry( + ... topic="examples", + ... library_name="transformers", + ... library_version="4.26.0", + ... user_agent={"pipeline": "text_classification", "framework": "flax"}, + ... ) + ``` + """ + if constants.HF_HUB_OFFLINE or constants.HF_HUB_DISABLE_TELEMETRY: + return + + _start_telemetry_thread() # starts thread only if doesn't exist yet + _TELEMETRY_QUEUE.put( + {"topic": topic, "library_name": library_name, "library_version": library_version, "user_agent": user_agent} + ) + + +def _start_telemetry_thread(): + """Start a daemon thread to consume tasks from the telemetry queue. + + If the thread is interrupted, start a new one. + """ + with _TELEMETRY_THREAD_LOCK: # avoid to start multiple threads if called concurrently + global _TELEMETRY_THREAD + if _TELEMETRY_THREAD is None or not _TELEMETRY_THREAD.is_alive(): + _TELEMETRY_THREAD = Thread(target=_telemetry_worker, daemon=True) + _TELEMETRY_THREAD.start() + + +def _telemetry_worker(): + """Wait for a task and consume it.""" + while True: + kwargs = _TELEMETRY_QUEUE.get() + _send_telemetry_in_thread(**kwargs) + _TELEMETRY_QUEUE.task_done() + + +def _send_telemetry_in_thread( + topic: str, + *, + library_name: Optional[str] = None, + library_version: Optional[str] = None, + user_agent: Union[Dict, str, None] = None, +) -> None: + """Contains the actual data sending data to the Hub. + + This function is called directly in gradio's analytics because + it is not possible to send telemetry from a daemon thread. + + See here: https://github.com/gradio-app/gradio/pull/8180 + + Please do not rename or remove this function. + """ + path = "/".join(quote(part) for part in topic.split("/") if len(part) > 0) + try: + r = get_session().head( + f"{constants.ENDPOINT}/api/telemetry/{path}", + headers=build_hf_headers( + token=False, # no need to send a token for telemetry + library_name=library_name, + library_version=library_version, + user_agent=user_agent, + ), + ) + hf_raise_for_status(r) + except Exception as e: + # We don't want to error in case of connection errors of any kind. + logger.debug(f"Error while sending telemetry: {e}") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_typing.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_typing.py new file mode 100644 index 0000000000000000000000000000000000000000..b8388ca0c003e4741a44b298f02ef69932737f93 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_typing.py @@ -0,0 +1,75 @@ +# coding=utf-8 +# Copyright 2022-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Handle typing imports based on system compatibility.""" + +import sys +from typing import Any, Callable, List, Literal, Type, TypeVar, Union, get_args, get_origin + + +UNION_TYPES: List[Any] = [Union] +if sys.version_info >= (3, 10): + from types import UnionType + + UNION_TYPES += [UnionType] + + +HTTP_METHOD_T = Literal["GET", "OPTIONS", "HEAD", "POST", "PUT", "PATCH", "DELETE"] + +# type hint meaning "function signature not changed by decorator" +CallableT = TypeVar("CallableT", bound=Callable) + +_JSON_SERIALIZABLE_TYPES = (int, float, str, bool, type(None)) + + +def is_jsonable(obj: Any) -> bool: + """Check if an object is JSON serializable. + + This is a weak check, as it does not check for the actual JSON serialization, but only for the types of the object. + It works correctly for basic use cases but do not guarantee an exhaustive check. + + Object is considered to be recursively json serializable if: + - it is an instance of int, float, str, bool, or NoneType + - it is a list or tuple and all its items are json serializable + - it is a dict and all its keys are strings and all its values are json serializable + """ + try: + if isinstance(obj, _JSON_SERIALIZABLE_TYPES): + return True + if isinstance(obj, (list, tuple)): + return all(is_jsonable(item) for item in obj) + if isinstance(obj, dict): + return all(isinstance(key, _JSON_SERIALIZABLE_TYPES) and is_jsonable(value) for key, value in obj.items()) + if hasattr(obj, "__json__"): + return True + return False + except RecursionError: + return False + + +def is_simple_optional_type(type_: Type) -> bool: + """Check if a type is optional, i.e. Optional[Type] or Union[Type, None] or Type | None, where Type is a non-composite type.""" + if get_origin(type_) in UNION_TYPES: + union_args = get_args(type_) + if len(union_args) == 2 and type(None) in union_args: + return True + return False + + +def unwrap_simple_optional_type(optional_type: Type) -> Type: + """Unwraps a simple optional type, i.e. returns Type from Optional[Type].""" + for arg in get_args(optional_type): + if arg is not type(None): + return arg + raise ValueError(f"'{optional_type}' is not an optional type") diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py new file mode 100644 index 0000000000000000000000000000000000000000..27833f28e3e2030680fb72b95a547521bc08831b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py @@ -0,0 +1,226 @@ +# coding=utf-8 +# Copyright 2022-present, the HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains utilities to validate argument values in `huggingface_hub`.""" + +import inspect +import re +import warnings +from functools import wraps +from itertools import chain +from typing import Any, Dict + +from huggingface_hub.errors import HFValidationError + +from ._typing import CallableT + + +REPO_ID_REGEX = re.compile( + r""" + ^ + (\b[\w\-.]+\b/)? # optional namespace (username or organization) + \b # starts with a word boundary + [\w\-.]{1,96} # repo_name: alphanumeric + . _ - + \b # ends with a word boundary + $ + """, + flags=re.VERBOSE, +) + + +def validate_hf_hub_args(fn: CallableT) -> CallableT: + """Validate values received as argument for any public method of `huggingface_hub`. + + The goal of this decorator is to harmonize validation of arguments reused + everywhere. By default, all defined validators are tested. + + Validators: + - [`~utils.validate_repo_id`]: `repo_id` must be `"repo_name"` + or `"namespace/repo_name"`. Namespace is a username or an organization. + - [`~utils.smoothly_deprecate_use_auth_token`]: Use `token` instead of + `use_auth_token` (only if `use_auth_token` is not expected by the decorated + function - in practice, always the case in `huggingface_hub`). + + Example: + ```py + >>> from huggingface_hub.utils import validate_hf_hub_args + + >>> @validate_hf_hub_args + ... def my_cool_method(repo_id: str): + ... print(repo_id) + + >>> my_cool_method(repo_id="valid_repo_id") + valid_repo_id + + >>> my_cool_method("other..repo..id") + huggingface_hub.utils._validators.HFValidationError: Cannot have -- or .. in repo_id: 'other..repo..id'. + + >>> my_cool_method(repo_id="other..repo..id") + huggingface_hub.utils._validators.HFValidationError: Cannot have -- or .. in repo_id: 'other..repo..id'. + + >>> @validate_hf_hub_args + ... def my_cool_auth_method(token: str): + ... print(token) + + >>> my_cool_auth_method(token="a token") + "a token" + + >>> my_cool_auth_method(use_auth_token="a use_auth_token") + "a use_auth_token" + + >>> my_cool_auth_method(token="a token", use_auth_token="a use_auth_token") + UserWarning: Both `token` and `use_auth_token` are passed (...) + "a token" + ``` + + Raises: + [`~utils.HFValidationError`]: + If an input is not valid. + """ + # TODO: add an argument to opt-out validation for specific argument? + signature = inspect.signature(fn) + + # Should the validator switch `use_auth_token` values to `token`? In practice, always + # True in `huggingface_hub`. Might not be the case in a downstream library. + check_use_auth_token = "use_auth_token" not in signature.parameters and "token" in signature.parameters + + @wraps(fn) + def _inner_fn(*args, **kwargs): + has_token = False + for arg_name, arg_value in chain( + zip(signature.parameters, args), # Args values + kwargs.items(), # Kwargs values + ): + if arg_name in ["repo_id", "from_id", "to_id"]: + validate_repo_id(arg_value) + + elif arg_name == "token" and arg_value is not None: + has_token = True + + if check_use_auth_token: + kwargs = smoothly_deprecate_use_auth_token(fn_name=fn.__name__, has_token=has_token, kwargs=kwargs) + + return fn(*args, **kwargs) + + return _inner_fn # type: ignore + + +def validate_repo_id(repo_id: str) -> None: + """Validate `repo_id` is valid. + + This is not meant to replace the proper validation made on the Hub but rather to + avoid local inconsistencies whenever possible (example: passing `repo_type` in the + `repo_id` is forbidden). + + Rules: + - Between 1 and 96 characters. + - Either "repo_name" or "namespace/repo_name" + - [a-zA-Z0-9] or "-", "_", "." + - "--" and ".." are forbidden + + Valid: `"foo"`, `"foo/bar"`, `"123"`, `"Foo-BAR_foo.bar123"` + + Not valid: `"datasets/foo/bar"`, `".repo_id"`, `"foo--bar"`, `"foo.git"` + + Example: + ```py + >>> from huggingface_hub.utils import validate_repo_id + >>> validate_repo_id(repo_id="valid_repo_id") + >>> validate_repo_id(repo_id="other..repo..id") + huggingface_hub.utils._validators.HFValidationError: Cannot have -- or .. in repo_id: 'other..repo..id'. + ``` + + Discussed in https://github.com/huggingface/huggingface_hub/issues/1008. + In moon-landing (internal repository): + - https://github.com/huggingface/moon-landing/blob/main/server/lib/Names.ts#L27 + - https://github.com/huggingface/moon-landing/blob/main/server/views/components/NewRepoForm/NewRepoForm.svelte#L138 + """ + if not isinstance(repo_id, str): + # Typically, a Path is not a repo_id + raise HFValidationError(f"Repo id must be a string, not {type(repo_id)}: '{repo_id}'.") + + if repo_id.count("/") > 1: + raise HFValidationError( + "Repo id must be in the form 'repo_name' or 'namespace/repo_name':" + f" '{repo_id}'. Use `repo_type` argument if needed." + ) + + if not REPO_ID_REGEX.match(repo_id): + raise HFValidationError( + "Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are" + " forbidden, '-' and '.' cannot start or end the name, max length is 96:" + f" '{repo_id}'." + ) + + if "--" in repo_id or ".." in repo_id: + raise HFValidationError(f"Cannot have -- or .. in repo_id: '{repo_id}'.") + + if repo_id.endswith(".git"): + raise HFValidationError(f"Repo_id cannot end by '.git': '{repo_id}'.") + + +def smoothly_deprecate_use_auth_token(fn_name: str, has_token: bool, kwargs: Dict[str, Any]) -> Dict[str, Any]: + """Smoothly deprecate `use_auth_token` in the `huggingface_hub` codebase. + + The long-term goal is to remove any mention of `use_auth_token` in the codebase in + favor of a unique and less verbose `token` argument. This will be done a few steps: + + 0. Step 0: methods that require a read-access to the Hub use the `use_auth_token` + argument (`str`, `bool` or `None`). Methods requiring write-access have a `token` + argument (`str`, `None`). This implicit rule exists to be able to not send the + token when not necessary (`use_auth_token=False`) even if logged in. + + 1. Step 1: we want to harmonize everything and use `token` everywhere (supporting + `token=False` for read-only methods). In order not to break existing code, if + `use_auth_token` is passed to a function, the `use_auth_token` value is passed + as `token` instead, without any warning. + a. Corner case: if both `use_auth_token` and `token` values are passed, a warning + is thrown and the `use_auth_token` value is ignored. + + 2. Step 2: Once it is release, we should push downstream libraries to switch from + `use_auth_token` to `token` as much as possible, but without throwing a warning + (e.g. manually create issues on the corresponding repos). + + 3. Step 3: After a transitional period (6 months e.g. until April 2023?), we update + `huggingface_hub` to throw a warning on `use_auth_token`. Hopefully, very few + users will be impacted as it would have already been fixed. + In addition, unit tests in `huggingface_hub` must be adapted to expect warnings + to be thrown (but still use `use_auth_token` as before). + + 4. Step 4: After a normal deprecation cycle (3 releases ?), remove this validator. + `use_auth_token` will definitely not be supported. + In addition, we update unit tests in `huggingface_hub` to use `token` everywhere. + + This has been discussed in: + - https://github.com/huggingface/huggingface_hub/issues/1094. + - https://github.com/huggingface/huggingface_hub/pull/928 + - (related) https://github.com/huggingface/huggingface_hub/pull/1064 + """ + new_kwargs = kwargs.copy() # do not mutate input ! + + use_auth_token = new_kwargs.pop("use_auth_token", None) # remove from kwargs + if use_auth_token is not None: + if has_token: + warnings.warn( + "Both `token` and `use_auth_token` are passed to" + f" `{fn_name}` with non-None values. `token` is now the" + " preferred argument to pass a User Access Token." + " `use_auth_token` value will be ignored." + ) + else: + # `token` argument is not passed and a non-None value is passed in + # `use_auth_token` => use `use_auth_token` value as `token` kwarg. + new_kwargs["token"] = use_auth_token + + return new_kwargs diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_xet.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_xet.py new file mode 100644 index 0000000000000000000000000000000000000000..3dcf99068f87eebdf3c684edf6026a576bd34eaf --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_xet.py @@ -0,0 +1,192 @@ +from dataclasses import dataclass +from enum import Enum +from typing import Dict, Optional + +import requests + +from .. import constants +from . import get_session, hf_raise_for_status, validate_hf_hub_args + + +class XetTokenType(str, Enum): + READ = "read" + WRITE = "write" + + +@dataclass(frozen=True) +class XetFileData: + file_hash: str + refresh_route: str + + +@dataclass(frozen=True) +class XetConnectionInfo: + access_token: str + expiration_unix_epoch: int + endpoint: str + + +def parse_xet_file_data_from_response( + response: requests.Response, endpoint: Optional[str] = None +) -> Optional[XetFileData]: + """ + Parse XET file metadata from an HTTP response. + + This function extracts XET file metadata from the HTTP headers or HTTP links + of a given response object. If the required metadata is not found, it returns `None`. + + Args: + response (`requests.Response`): + The HTTP response object containing headers dict and links dict to extract the XET metadata from. + Returns: + `Optional[XetFileData]`: + An instance of `XetFileData` containing the file hash and refresh route if the metadata + is found. Returns `None` if the required metadata is missing. + """ + if response is None: + return None + try: + file_hash = response.headers[constants.HUGGINGFACE_HEADER_X_XET_HASH] + + if constants.HUGGINGFACE_HEADER_LINK_XET_AUTH_KEY in response.links: + refresh_route = response.links[constants.HUGGINGFACE_HEADER_LINK_XET_AUTH_KEY]["url"] + else: + refresh_route = response.headers[constants.HUGGINGFACE_HEADER_X_XET_REFRESH_ROUTE] + except KeyError: + return None + endpoint = endpoint if endpoint is not None else constants.ENDPOINT + if refresh_route.startswith(constants.HUGGINGFACE_CO_URL_HOME): + refresh_route = refresh_route.replace(constants.HUGGINGFACE_CO_URL_HOME.rstrip("/"), endpoint.rstrip("/")) + return XetFileData( + file_hash=file_hash, + refresh_route=refresh_route, + ) + + +def parse_xet_connection_info_from_headers(headers: Dict[str, str]) -> Optional[XetConnectionInfo]: + """ + Parse XET connection info from the HTTP headers or return None if not found. + Args: + headers (`Dict`): + HTTP headers to extract the XET metadata from. + Returns: + `XetConnectionInfo` or `None`: + The information needed to connect to the XET storage service. + Returns `None` if the headers do not contain the XET connection info. + """ + try: + endpoint = headers[constants.HUGGINGFACE_HEADER_X_XET_ENDPOINT] + access_token = headers[constants.HUGGINGFACE_HEADER_X_XET_ACCESS_TOKEN] + expiration_unix_epoch = int(headers[constants.HUGGINGFACE_HEADER_X_XET_EXPIRATION]) + except (KeyError, ValueError, TypeError): + return None + + return XetConnectionInfo( + endpoint=endpoint, + access_token=access_token, + expiration_unix_epoch=expiration_unix_epoch, + ) + + +@validate_hf_hub_args +def refresh_xet_connection_info( + *, + file_data: XetFileData, + headers: Dict[str, str], +) -> XetConnectionInfo: + """ + Utilizes the information in the parsed metadata to request the Hub xet connection information. + This includes the access token, expiration, and XET service URL. + Args: + file_data: (`XetFileData`): + The file data needed to refresh the xet connection information. + headers (`Dict[str, str]`): + Headers to use for the request, including authorization headers and user agent. + Returns: + `XetConnectionInfo`: + The connection information needed to make the request to the xet storage service. + Raises: + [`~utils.HfHubHTTPError`] + If the Hub API returned an error. + [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) + If the Hub API response is improperly formatted. + """ + if file_data.refresh_route is None: + raise ValueError("The provided xet metadata does not contain a refresh endpoint.") + return _fetch_xet_connection_info_with_url(file_data.refresh_route, headers) + + +@validate_hf_hub_args +def fetch_xet_connection_info_from_repo_info( + *, + token_type: XetTokenType, + repo_id: str, + repo_type: str, + revision: Optional[str] = None, + headers: Dict[str, str], + endpoint: Optional[str] = None, + params: Optional[Dict[str, str]] = None, +) -> XetConnectionInfo: + """ + Uses the repo info to request a xet access token from Hub. + Args: + token_type (`XetTokenType`): + Type of the token to request: `"read"` or `"write"`. + repo_id (`str`): + A namespace (user or an organization) and a repo name separated by a `/`. + repo_type (`str`): + Type of the repo to upload to: `"model"`, `"dataset"` or `"space"`. + revision (`str`, `optional`): + The revision of the repo to get the token for. + headers (`Dict[str, str]`): + Headers to use for the request, including authorization headers and user agent. + endpoint (`str`, `optional`): + The endpoint to use for the request. Defaults to the Hub endpoint. + params (`Dict[str, str]`, `optional`): + Additional parameters to pass with the request. + Returns: + `XetConnectionInfo`: + The connection information needed to make the request to the xet storage service. + Raises: + [`~utils.HfHubHTTPError`] + If the Hub API returned an error. + [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) + If the Hub API response is improperly formatted. + """ + endpoint = endpoint if endpoint is not None else constants.ENDPOINT + url = f"{endpoint}/api/{repo_type}s/{repo_id}/xet-{token_type.value}-token/{revision}" + return _fetch_xet_connection_info_with_url(url, headers, params) + + +@validate_hf_hub_args +def _fetch_xet_connection_info_with_url( + url: str, + headers: Dict[str, str], + params: Optional[Dict[str, str]] = None, +) -> XetConnectionInfo: + """ + Requests the xet connection info from the supplied URL. This includes the + access token, expiration time, and endpoint to use for the xet storage service. + Args: + url: (`str`): + The access token endpoint URL. + headers (`Dict[str, str]`): + Headers to use for the request, including authorization headers and user agent. + params (`Dict[str, str]`, `optional`): + Additional parameters to pass with the request. + Returns: + `XetConnectionInfo`: + The connection information needed to make the request to the xet storage service. + Raises: + [`~utils.HfHubHTTPError`] + If the Hub API returned an error. + [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) + If the Hub API response is improperly formatted. + """ + resp = get_session().get(headers=headers, url=url, params=params) + hf_raise_for_status(resp) + + metadata = parse_xet_connection_info_from_headers(resp.headers) # type: ignore + if metadata is None: + raise ValueError("Xet headers have not been correctly set by the server.") + return metadata diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_xet_progress_reporting.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_xet_progress_reporting.py new file mode 100644 index 0000000000000000000000000000000000000000..824906631167facd0026ad82c169c9fa3a7c8648 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/_xet_progress_reporting.py @@ -0,0 +1,141 @@ +from collections import OrderedDict +from typing import List + +from hf_xet import PyItemProgressUpdate, PyTotalProgressUpdate + +from .tqdm import tqdm + + +class XetProgressReporter: + def __init__(self, n_lines: int = 10, description_width: int = 40): + self.n_lines = n_lines + self.description_width = description_width + + self.tqdm_settings = { + "unit": "B", + "unit_scale": True, + "leave": True, + "unit_divisor": 1000, + "nrows": n_lines + 3, + "miniters": 1, + "bar_format": "{l_bar}{bar}| {n_fmt:>5}B / {total_fmt:>5}B{postfix:>12}", + } + + # Overall progress bars + self.data_processing_bar = tqdm( + total=0, desc=self.format_desc("Processing Files (0 / 0)", False), position=0, **self.tqdm_settings + ) + + self.upload_bar = tqdm( + total=0, desc=self.format_desc("New Data Upload", False), position=1, **self.tqdm_settings + ) + + self.known_items: set[str] = set() + self.completed_items: set[str] = set() + + # Item bars (scrolling view) + self.item_state: OrderedDict[str, PyItemProgressUpdate] = OrderedDict() + self.current_bars: List = [None] * self.n_lines + + def format_desc(self, name: str, indent: bool) -> str: + """ + if name is longer than width characters, prints ... at the start and then the last width-3 characters of the name, otherwise + the whole name right justified into 20 characters. Also adds some padding. + """ + padding = " " if indent else "" + width = self.description_width - len(padding) + + if len(name) > width: + name = f"...{name[-(width - 3) :]}" + + return f"{padding}{name.ljust(width)}" + + def update_progress(self, total_update: PyTotalProgressUpdate, item_updates: List[PyItemProgressUpdate]): + # Update all the per-item values. + for item in item_updates: + item_name = item.item_name + + self.known_items.add(item_name) + + # Only care about items where the processing has already started. + if item.bytes_completed == 0: + continue + + # Overwrite the existing value in there. + self.item_state[item_name] = item + + bar_idx = 0 + new_completed = [] + + # Now, go through and update all the bars + for name, item in self.item_state.items(): + # Is this ready to be removed on the next update? + if item.bytes_completed == item.total_bytes: + self.completed_items.add(name) + new_completed.append(name) + + # If we've run out of bars to use, then collapse the last ones together. + if bar_idx >= len(self.current_bars): + bar = self.current_bars[-1] + in_final_bar_mode = True + final_bar_aggregation_count = bar_idx + 1 - len(self.current_bars) + else: + bar = self.current_bars[bar_idx] + in_final_bar_mode = False + + if bar is None: + self.current_bars[bar_idx] = tqdm( + desc=self.format_desc(name, True), + position=2 + bar_idx, # Set to the position past the initial bars. + total=item.total_bytes, + initial=item.bytes_completed, + **self.tqdm_settings, + ) + + elif in_final_bar_mode: + bar.n += item.bytes_completed + bar.total += item.total_bytes + bar.set_description(self.format_desc(f"[+ {final_bar_aggregation_count} files]", True), refresh=False) + else: + bar.set_description(self.format_desc(name, True), refresh=False) + bar.n = item.bytes_completed + bar.total = item.total_bytes + + bar_idx += 1 + + # Remove all the completed ones from the ordered dictionary + for name in new_completed: + # Only remove ones from consideration to make room for more items coming in. + if len(self.item_state) <= self.n_lines: + break + + del self.item_state[name] + + # Now manually refresh each of the bars + for bar in self.current_bars: + if bar: + bar.refresh() + + # Update overall bars + def postfix(speed): + s = tqdm.format_sizeof(speed) if speed is not None else "???" + return f"{s}B/s ".rjust(10, " ") + + self.data_processing_bar.total = total_update.total_bytes + self.data_processing_bar.set_description( + self.format_desc(f"Processing Files ({len(self.completed_items)} / {len(self.known_items)})", False), + refresh=False, + ) + self.data_processing_bar.set_postfix_str(postfix(total_update.total_bytes_completion_rate), refresh=False) + self.data_processing_bar.update(total_update.total_bytes_completion_increment) + + self.upload_bar.total = total_update.total_transfer_bytes + self.upload_bar.set_postfix_str(postfix(total_update.total_transfer_bytes_completion_rate), refresh=False) + self.upload_bar.update(total_update.total_transfer_bytes_completion_increment) + + def close(self, _success): + self.data_processing_bar.close() + self.upload_bar.close() + for bar in self.current_bars: + if bar: + bar.close() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/endpoint_helpers.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/endpoint_helpers.py new file mode 100644 index 0000000000000000000000000000000000000000..85cd86011b78bcdc57034aeebc3c01e9e721ab50 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/endpoint_helpers.py @@ -0,0 +1,66 @@ +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Helpful utility functions and classes in relation to exploring API endpoints +with the aim for a user-friendly interface. +""" + +import math +import re +from typing import TYPE_CHECKING + +from ..repocard_data import ModelCardData + + +if TYPE_CHECKING: + from ..hf_api import ModelInfo + + +def _is_emission_within_threshold(model_info: "ModelInfo", minimum_threshold: float, maximum_threshold: float) -> bool: + """Checks if a model's emission is within a given threshold. + + Args: + model_info (`ModelInfo`): + A model info object containing the model's emission information. + minimum_threshold (`float`): + A minimum carbon threshold to filter by, such as 1. + maximum_threshold (`float`): + A maximum carbon threshold to filter by, such as 10. + + Returns: + `bool`: Whether the model's emission is within the given threshold. + """ + if minimum_threshold is None and maximum_threshold is None: + raise ValueError("Both `minimum_threshold` and `maximum_threshold` cannot both be `None`") + if minimum_threshold is None: + minimum_threshold = -1 + if maximum_threshold is None: + maximum_threshold = math.inf + + card_data = getattr(model_info, "card_data", None) + if card_data is None or not isinstance(card_data, (dict, ModelCardData)): + return False + + # Get CO2 emission metadata + emission = card_data.get("co2_eq_emissions", None) + if isinstance(emission, dict): + emission = emission["emissions"] + if not emission: + return False + + # Filter out if value is missing or out of range + matched = re.search(r"\d+\.\d+|\d+", str(emission)) + if matched is None: + return False + + emission_value = float(matched.group(0)) + return minimum_threshold <= emission_value <= maximum_threshold diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/insecure_hashlib.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/insecure_hashlib.py new file mode 100644 index 0000000000000000000000000000000000000000..6901b6d647cc706b85333a66f3bcb7d8c5e2ee9e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/insecure_hashlib.py @@ -0,0 +1,38 @@ +# Taken from https://github.com/mlflow/mlflow/pull/10119 +# +# DO NOT use this function for security purposes (e.g., password hashing). +# +# In Python >= 3.9, insecure hashing algorithms such as MD5 fail in FIPS-compliant +# environments unless `usedforsecurity=False` is explicitly passed. +# +# References: +# - https://github.com/mlflow/mlflow/issues/9905 +# - https://github.com/mlflow/mlflow/pull/10119 +# - https://docs.python.org/3/library/hashlib.html +# - https://github.com/huggingface/transformers/pull/27038 +# +# Usage: +# ```python +# # Use +# from huggingface_hub.utils.insecure_hashlib import sha256 +# # instead of +# from hashlib import sha256 +# +# # Use +# from huggingface_hub.utils import insecure_hashlib +# # instead of +# import hashlib +# ``` +import functools +import hashlib +import sys + + +if sys.version_info >= (3, 9): + md5 = functools.partial(hashlib.md5, usedforsecurity=False) + sha1 = functools.partial(hashlib.sha1, usedforsecurity=False) + sha256 = functools.partial(hashlib.sha256, usedforsecurity=False) +else: + md5 = hashlib.md5 + sha1 = hashlib.sha1 + sha256 = hashlib.sha256 diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/logging.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/logging.py new file mode 100644 index 0000000000000000000000000000000000000000..813719683a54cc65768bab5488e7ea153ad08d7e --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/logging.py @@ -0,0 +1,188 @@ +# coding=utf-8 +# Copyright 2020 Optuna, Hugging Face +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Logging utilities.""" + +import logging +import os +from logging import ( + CRITICAL, # NOQA + DEBUG, # NOQA + ERROR, # NOQA + FATAL, # NOQA + INFO, # NOQA + NOTSET, # NOQA + WARN, # NOQA + WARNING, # NOQA +) +from typing import Optional + +from .. import constants + + +log_levels = { + "debug": logging.DEBUG, + "info": logging.INFO, + "warning": logging.WARNING, + "error": logging.ERROR, + "critical": logging.CRITICAL, +} + +_default_log_level = logging.WARNING + + +def _get_library_name() -> str: + return __name__.split(".")[0] + + +def _get_library_root_logger() -> logging.Logger: + return logging.getLogger(_get_library_name()) + + +def _get_default_logging_level(): + """ + If `HF_HUB_VERBOSITY` env var is set to one of the valid choices return that as the new default level. If it is not + - fall back to `_default_log_level` + """ + env_level_str = os.getenv("HF_HUB_VERBOSITY", None) + if env_level_str: + if env_level_str in log_levels: + return log_levels[env_level_str] + else: + logging.getLogger().warning( + f"Unknown option HF_HUB_VERBOSITY={env_level_str}, has to be one of: {', '.join(log_levels.keys())}" + ) + return _default_log_level + + +def _configure_library_root_logger() -> None: + library_root_logger = _get_library_root_logger() + library_root_logger.addHandler(logging.StreamHandler()) + library_root_logger.setLevel(_get_default_logging_level()) + + +def _reset_library_root_logger() -> None: + library_root_logger = _get_library_root_logger() + library_root_logger.setLevel(logging.NOTSET) + + +def get_logger(name: Optional[str] = None) -> logging.Logger: + """ + Returns a logger with the specified name. This function is not supposed + to be directly accessed by library users. + + Args: + name (`str`, *optional*): + The name of the logger to get, usually the filename + + Example: + + ```python + >>> from huggingface_hub import get_logger + + >>> logger = get_logger(__file__) + >>> logger.set_verbosity_info() + ``` + """ + + if name is None: + name = _get_library_name() + + return logging.getLogger(name) + + +def get_verbosity() -> int: + """Return the current level for the HuggingFace Hub's root logger. + + Returns: + Logging level, e.g., `huggingface_hub.logging.DEBUG` and + `huggingface_hub.logging.INFO`. + + + + HuggingFace Hub has following logging levels: + + - `huggingface_hub.logging.CRITICAL`, `huggingface_hub.logging.FATAL` + - `huggingface_hub.logging.ERROR` + - `huggingface_hub.logging.WARNING`, `huggingface_hub.logging.WARN` + - `huggingface_hub.logging.INFO` + - `huggingface_hub.logging.DEBUG` + + + """ + return _get_library_root_logger().getEffectiveLevel() + + +def set_verbosity(verbosity: int) -> None: + """ + Sets the level for the HuggingFace Hub's root logger. + + Args: + verbosity (`int`): + Logging level, e.g., `huggingface_hub.logging.DEBUG` and + `huggingface_hub.logging.INFO`. + """ + _get_library_root_logger().setLevel(verbosity) + + +def set_verbosity_info(): + """ + Sets the verbosity to `logging.INFO`. + """ + return set_verbosity(INFO) + + +def set_verbosity_warning(): + """ + Sets the verbosity to `logging.WARNING`. + """ + return set_verbosity(WARNING) + + +def set_verbosity_debug(): + """ + Sets the verbosity to `logging.DEBUG`. + """ + return set_verbosity(DEBUG) + + +def set_verbosity_error(): + """ + Sets the verbosity to `logging.ERROR`. + """ + return set_verbosity(ERROR) + + +def disable_propagation() -> None: + """ + Disable propagation of the library log outputs. Note that log propagation is + disabled by default. + """ + _get_library_root_logger().propagate = False + + +def enable_propagation() -> None: + """ + Enable propagation of the library log outputs. Please disable the + HuggingFace Hub's default handler to prevent double logging if the root + logger has been configured. + """ + _get_library_root_logger().propagate = True + + +_configure_library_root_logger() + +if constants.HF_DEBUG: + # If `HF_DEBUG` environment variable is set, set the verbosity of `huggingface_hub` logger to `DEBUG`. + set_verbosity_debug() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/sha.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/sha.py new file mode 100644 index 0000000000000000000000000000000000000000..001c3fe8b2f37a64e890888ca3d521c10ec8f03b --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/sha.py @@ -0,0 +1,64 @@ +"""Utilities to efficiently compute the SHA 256 hash of a bunch of bytes.""" + +from typing import BinaryIO, Optional + +from .insecure_hashlib import sha1, sha256 + + +def sha_fileobj(fileobj: BinaryIO, chunk_size: Optional[int] = None) -> bytes: + """ + Computes the sha256 hash of the given file object, by chunks of size `chunk_size`. + + Args: + fileobj (file-like object): + The File object to compute sha256 for, typically obtained with `open(path, "rb")` + chunk_size (`int`, *optional*): + The number of bytes to read from `fileobj` at once, defaults to 1MB. + + Returns: + `bytes`: `fileobj`'s sha256 hash as bytes + """ + chunk_size = chunk_size if chunk_size is not None else 1024 * 1024 + + sha = sha256() + while True: + chunk = fileobj.read(chunk_size) + sha.update(chunk) + if not chunk: + break + return sha.digest() + + +def git_hash(data: bytes) -> str: + """ + Computes the git-sha1 hash of the given bytes, using the same algorithm as git. + + This is equivalent to running `git hash-object`. See https://git-scm.com/docs/git-hash-object + for more details. + + Note: this method is valid for regular files. For LFS files, the proper git hash is supposed to be computed on the + pointer file content, not the actual file content. However, for simplicity, we directly compare the sha256 of + the LFS file content when we want to compare LFS files. + + Args: + data (`bytes`): + The data to compute the git-hash for. + + Returns: + `str`: the git-hash of `data` as an hexadecimal string. + + Example: + ```python + >>> from huggingface_hub.utils.sha import git_hash + >>> git_hash(b"Hello, World!") + 'b45ef6fec89518d314f546fd6c3025367b721684' + ``` + """ + # Taken from https://gist.github.com/msabramo/763200 + # Note: no need to optimize by reading the file in chunks as we're not supposed to hash huge files (5MB maximum). + sha = sha1() + sha.update(b"blob ") + sha.update(str(len(data)).encode()) + sha.update(b"\0") + sha.update(data) + return sha.hexdigest() diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/tqdm.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/tqdm.py new file mode 100644 index 0000000000000000000000000000000000000000..4c1fcef4beb73bae13c57b3f66c5828e775b7cd9 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/huggingface_hub/utils/tqdm.py @@ -0,0 +1,307 @@ +# coding=utf-8 +# Copyright 2021 The HuggingFace Inc. team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License +"""Utility helpers to handle progress bars in `huggingface_hub`. + +Example: + 1. Use `huggingface_hub.utils.tqdm` as you would use `tqdm.tqdm` or `tqdm.auto.tqdm`. + 2. To disable progress bars, either use `disable_progress_bars()` helper or set the + environment variable `HF_HUB_DISABLE_PROGRESS_BARS` to 1. + 3. To re-enable progress bars, use `enable_progress_bars()`. + 4. To check whether progress bars are disabled, use `are_progress_bars_disabled()`. + +NOTE: Environment variable `HF_HUB_DISABLE_PROGRESS_BARS` has the priority. + +Example: + ```py + >>> from huggingface_hub.utils import are_progress_bars_disabled, disable_progress_bars, enable_progress_bars, tqdm + + # Disable progress bars globally + >>> disable_progress_bars() + + # Use as normal `tqdm` + >>> for _ in tqdm(range(5)): + ... pass + + # Still not showing progress bars, as `disable=False` is overwritten to `True`. + >>> for _ in tqdm(range(5), disable=False): + ... pass + + >>> are_progress_bars_disabled() + True + + # Re-enable progress bars globally + >>> enable_progress_bars() + + # Progress bar will be shown ! + >>> for _ in tqdm(range(5)): + ... pass + 100%|███████████████████████████████████████| 5/5 [00:00<00:00, 117817.53it/s] + ``` + +Group-based control: + ```python + # Disable progress bars for a specific group + >>> disable_progress_bars("peft.foo") + + # Check state of different groups + >>> assert not are_progress_bars_disabled("peft")) + >>> assert not are_progress_bars_disabled("peft.something") + >>> assert are_progress_bars_disabled("peft.foo")) + >>> assert are_progress_bars_disabled("peft.foo.bar")) + + # Enable progress bars for a subgroup + >>> enable_progress_bars("peft.foo.bar") + + # Check if enabling a subgroup affects the parent group + >>> assert are_progress_bars_disabled("peft.foo")) + >>> assert not are_progress_bars_disabled("peft.foo.bar")) + + # No progress bar for `name="peft.foo"` + >>> for _ in tqdm(range(5), name="peft.foo"): + ... pass + + # Progress bar will be shown for `name="peft.foo.bar"` + >>> for _ in tqdm(range(5), name="peft.foo.bar"): + ... pass + 100%|███████████████████████████████████████| 5/5 [00:00<00:00, 117817.53it/s] + + ``` +""" + +import io +import logging +import os +import warnings +from contextlib import contextmanager, nullcontext +from pathlib import Path +from typing import ContextManager, Dict, Iterator, Optional, Union + +from tqdm.auto import tqdm as old_tqdm + +from ..constants import HF_HUB_DISABLE_PROGRESS_BARS + + +# The `HF_HUB_DISABLE_PROGRESS_BARS` environment variable can be True, False, or not set (None), +# allowing for control over progress bar visibility. When set, this variable takes precedence +# over programmatic settings, dictating whether progress bars should be shown or hidden globally. +# Essentially, the environment variable's setting overrides any code-based configurations. +# +# If `HF_HUB_DISABLE_PROGRESS_BARS` is not defined (None), it implies that users can manage +# progress bar visibility through code. By default, progress bars are turned on. + + +progress_bar_states: Dict[str, bool] = {} + + +def disable_progress_bars(name: Optional[str] = None) -> None: + """ + Disable progress bars either globally or for a specified group. + + This function updates the state of progress bars based on a group name. + If no group name is provided, all progress bars are disabled. The operation + respects the `HF_HUB_DISABLE_PROGRESS_BARS` environment variable's setting. + + Args: + name (`str`, *optional*): + The name of the group for which to disable the progress bars. If None, + progress bars are disabled globally. + + Raises: + Warning: If the environment variable precludes changes. + """ + if HF_HUB_DISABLE_PROGRESS_BARS is False: + warnings.warn( + "Cannot disable progress bars: environment variable `HF_HUB_DISABLE_PROGRESS_BARS=0` is set and has priority." + ) + return + + if name is None: + progress_bar_states.clear() + progress_bar_states["_global"] = False + else: + keys_to_remove = [key for key in progress_bar_states if key.startswith(f"{name}.")] + for key in keys_to_remove: + del progress_bar_states[key] + progress_bar_states[name] = False + + +def enable_progress_bars(name: Optional[str] = None) -> None: + """ + Enable progress bars either globally or for a specified group. + + This function sets the progress bars to enabled for the specified group or globally + if no group is specified. The operation is subject to the `HF_HUB_DISABLE_PROGRESS_BARS` + environment setting. + + Args: + name (`str`, *optional*): + The name of the group for which to enable the progress bars. If None, + progress bars are enabled globally. + + Raises: + Warning: If the environment variable precludes changes. + """ + if HF_HUB_DISABLE_PROGRESS_BARS is True: + warnings.warn( + "Cannot enable progress bars: environment variable `HF_HUB_DISABLE_PROGRESS_BARS=1` is set and has priority." + ) + return + + if name is None: + progress_bar_states.clear() + progress_bar_states["_global"] = True + else: + keys_to_remove = [key for key in progress_bar_states if key.startswith(f"{name}.")] + for key in keys_to_remove: + del progress_bar_states[key] + progress_bar_states[name] = True + + +def are_progress_bars_disabled(name: Optional[str] = None) -> bool: + """ + Check if progress bars are disabled globally or for a specific group. + + This function returns whether progress bars are disabled for a given group or globally. + It checks the `HF_HUB_DISABLE_PROGRESS_BARS` environment variable first, then the programmatic + settings. + + Args: + name (`str`, *optional*): + The group name to check; if None, checks the global setting. + + Returns: + `bool`: True if progress bars are disabled, False otherwise. + """ + if HF_HUB_DISABLE_PROGRESS_BARS is True: + return True + + if name is None: + return not progress_bar_states.get("_global", True) + + while name: + if name in progress_bar_states: + return not progress_bar_states[name] + name = ".".join(name.split(".")[:-1]) + + return not progress_bar_states.get("_global", True) + + +def is_tqdm_disabled(log_level: int) -> Optional[bool]: + """ + Determine if tqdm progress bars should be disabled based on logging level and environment settings. + + see https://github.com/huggingface/huggingface_hub/pull/2000 and https://github.com/huggingface/huggingface_hub/pull/2698. + """ + if log_level == logging.NOTSET: + return True + if os.getenv("TQDM_POSITION") == "-1": + return False + return None + + +class tqdm(old_tqdm): + """ + Class to override `disable` argument in case progress bars are globally disabled. + + Taken from https://github.com/tqdm/tqdm/issues/619#issuecomment-619639324. + """ + + def __init__(self, *args, **kwargs): + name = kwargs.pop("name", None) # do not pass `name` to `tqdm` + if are_progress_bars_disabled(name): + kwargs["disable"] = True + super().__init__(*args, **kwargs) + + def __delattr__(self, attr: str) -> None: + """Fix for https://github.com/huggingface/huggingface_hub/issues/1603""" + try: + super().__delattr__(attr) + except AttributeError: + if attr != "_lock": + raise + + +@contextmanager +def tqdm_stream_file(path: Union[Path, str]) -> Iterator[io.BufferedReader]: + """ + Open a file as binary and wrap the `read` method to display a progress bar when it's streamed. + + First implemented in `transformers` in 2019 but removed when switched to git-lfs. Used in `huggingface_hub` to show + progress bar when uploading an LFS file to the Hub. See github.com/huggingface/transformers/pull/2078#discussion_r354739608 + for implementation details. + + Note: currently implementation handles only files stored on disk as it is the most common use case. Could be + extended to stream any `BinaryIO` object but we might have to debug some corner cases. + + Example: + ```py + >>> with tqdm_stream_file("config.json") as f: + >>> requests.put(url, data=f) + config.json: 100%|█████████████████████████| 8.19k/8.19k [00:02<00:00, 3.72kB/s] + ``` + """ + if isinstance(path, str): + path = Path(path) + + with path.open("rb") as f: + total_size = path.stat().st_size + pbar = tqdm( + unit="B", + unit_scale=True, + total=total_size, + initial=0, + desc=path.name, + ) + + f_read = f.read + + def _inner_read(size: Optional[int] = -1) -> bytes: + data = f_read(size) + pbar.update(len(data)) + return data + + f.read = _inner_read # type: ignore + + yield f + + pbar.close() + + +def _get_progress_bar_context( + *, + desc: str, + log_level: int, + total: Optional[int] = None, + initial: int = 0, + unit: str = "B", + unit_scale: bool = True, + name: Optional[str] = None, + _tqdm_bar: Optional[tqdm] = None, +) -> ContextManager[tqdm]: + if _tqdm_bar is not 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a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..ba9739ccb22e5708458c453eeb366de77d0e4b4d --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/__init__.py @@ -0,0 +1,776 @@ +# Human friendly input/output in Python. +# +# Author: Peter Odding +# Last Change: March 1, 2020 +# URL: https://humanfriendly.readthedocs.io + +""" +Interaction with interactive text terminals. + +The :mod:`~humanfriendly.terminal` module makes it easy to interact with +interactive text terminals and format text for rendering on such terminals. If +the terms used in the documentation of this module don't make sense to you then +please refer to the `Wikipedia article on ANSI escape sequences`_ for details +about how ANSI escape sequences work. + +This module was originally developed for use on UNIX systems, but since then +Windows 10 gained native support for ANSI escape sequences and this module was +enhanced to recognize and support this. For details please refer to the +:func:`enable_ansi_support()` function. + +.. _Wikipedia article on ANSI escape sequences: http://en.wikipedia.org/wiki/ANSI_escape_code#Sequence_elements +""" + +# Standard library modules. +import codecs +import numbers +import os +import platform +import re +import subprocess +import sys + +# The `fcntl' module is platform specific so importing it may give an error. We +# hide this implementation detail from callers by handling the import error and +# setting a flag instead. +try: + import fcntl + import termios + import struct + HAVE_IOCTL = True +except ImportError: + HAVE_IOCTL = False + +# Modules included in our package. +from humanfriendly.compat import coerce_string, is_unicode, on_windows, which +from humanfriendly.decorators import cached +from humanfriendly.deprecation import define_aliases +from humanfriendly.text import concatenate, format +from humanfriendly.usage import format_usage + +# Public identifiers that require documentation. +__all__ = ( + 'ANSI_COLOR_CODES', + 'ANSI_CSI', + 'ANSI_ERASE_LINE', + 'ANSI_HIDE_CURSOR', + 'ANSI_RESET', + 'ANSI_SGR', + 'ANSI_SHOW_CURSOR', + 'ANSI_TEXT_STYLES', + 'CLEAN_OUTPUT_PATTERN', + 'DEFAULT_COLUMNS', + 'DEFAULT_ENCODING', + 'DEFAULT_LINES', + 'HIGHLIGHT_COLOR', + 'ansi_strip', + 'ansi_style', + 'ansi_width', + 'ansi_wrap', + 'auto_encode', + 'clean_terminal_output', + 'connected_to_terminal', + 'enable_ansi_support', + 'find_terminal_size', + 'find_terminal_size_using_ioctl', + 'find_terminal_size_using_stty', + 'get_pager_command', + 'have_windows_native_ansi_support', + 'message', + 'output', + 'readline_strip', + 'readline_wrap', + 'show_pager', + 'terminal_supports_colors', + 'usage', + 'warning', +) + +ANSI_CSI = '\x1b[' +"""The ANSI "Control Sequence Introducer" (a string).""" + +ANSI_SGR = 'm' +"""The ANSI "Select Graphic Rendition" sequence (a string).""" + +ANSI_ERASE_LINE = '%sK' % ANSI_CSI +"""The ANSI escape sequence to erase the current line (a string).""" + +ANSI_RESET = '%s0%s' % (ANSI_CSI, ANSI_SGR) +"""The ANSI escape sequence to reset styling (a string).""" + +ANSI_HIDE_CURSOR = '%s?25l' % ANSI_CSI +"""The ANSI escape sequence to hide the text cursor (a string).""" + +ANSI_SHOW_CURSOR = '%s?25h' % ANSI_CSI +"""The ANSI escape sequence to show the text cursor (a string).""" + +ANSI_COLOR_CODES = dict(black=0, red=1, green=2, yellow=3, blue=4, magenta=5, cyan=6, white=7) +""" +A dictionary with (name, number) pairs of `portable color codes`_. Used by +:func:`ansi_style()` to generate ANSI escape sequences that change font color. + +.. _portable color codes: http://en.wikipedia.org/wiki/ANSI_escape_code#Colors +""" + +ANSI_TEXT_STYLES = dict(bold=1, faint=2, italic=3, underline=4, inverse=7, strike_through=9) +""" +A dictionary with (name, number) pairs of text styles (effects). Used by +:func:`ansi_style()` to generate ANSI escape sequences that change text +styles. Only widely supported text styles are included here. +""" + +CLEAN_OUTPUT_PATTERN = re.compile(u'(\r|\n|\b|%s)' % re.escape(ANSI_ERASE_LINE)) +""" +A compiled regular expression used to separate significant characters from other text. + +This pattern is used by :func:`clean_terminal_output()` to split terminal +output into regular text versus backspace, carriage return and line feed +characters and ANSI 'erase line' escape sequences. +""" + +DEFAULT_LINES = 25 +"""The default number of lines in a terminal (an integer).""" + +DEFAULT_COLUMNS = 80 +"""The default number of columns in a terminal (an integer).""" + +DEFAULT_ENCODING = 'UTF-8' +"""The output encoding for Unicode strings.""" + +HIGHLIGHT_COLOR = os.environ.get('HUMANFRIENDLY_HIGHLIGHT_COLOR', 'green') +""" +The color used to highlight important tokens in formatted text (e.g. the usage +message of the ``humanfriendly`` program). If the environment variable +``$HUMANFRIENDLY_HIGHLIGHT_COLOR`` is set it determines the value of +:data:`HIGHLIGHT_COLOR`. +""" + + +def ansi_strip(text, readline_hints=True): + """ + Strip ANSI escape sequences from the given string. + + :param text: The text from which ANSI escape sequences should be removed (a + string). + :param readline_hints: If :data:`True` then :func:`readline_strip()` is + used to remove `readline hints`_ from the string. + :returns: The text without ANSI escape sequences (a string). + """ + pattern = '%s.*?%s' % (re.escape(ANSI_CSI), re.escape(ANSI_SGR)) + text = re.sub(pattern, '', text) + if readline_hints: + text = readline_strip(text) + return text + + +def ansi_style(**kw): + """ + Generate ANSI escape sequences for the given color and/or style(s). + + :param color: The foreground color. Three types of values are supported: + + - The name of a color (one of the strings 'black', 'red', + 'green', 'yellow', 'blue', 'magenta', 'cyan' or 'white'). + - An integer that refers to the 256 color mode palette. + - A tuple or list with three integers representing an RGB + (red, green, blue) value. + + The value :data:`None` (the default) means no escape + sequence to switch color will be emitted. + :param background: The background color (see the description + of the `color` argument). + :param bright: Use high intensity colors instead of default colors + (a boolean, defaults to :data:`False`). + :param readline_hints: If :data:`True` then :func:`readline_wrap()` is + applied to the generated ANSI escape sequences (the + default is :data:`False`). + :param kw: Any additional keyword arguments are expected to match a key + in the :data:`ANSI_TEXT_STYLES` dictionary. If the argument's + value evaluates to :data:`True` the respective style will be + enabled. + :returns: The ANSI escape sequences to enable the requested text styles or + an empty string if no styles were requested. + :raises: :exc:`~exceptions.ValueError` when an invalid color name is given. + + Even though only eight named colors are supported, the use of `bright=True` + and `faint=True` increases the number of available colors to around 24 (it + may be slightly lower, for example because faint black is just black). + + **Support for 8-bit colors** + + In `release 4.7`_ support for 256 color mode was added. While this + significantly increases the available colors it's not very human friendly + in usage because you need to look up color codes in the `256 color mode + palette `_. + + You can use the ``humanfriendly --demo`` command to get a demonstration of + the available colors, see also the screen shot below. Note that the small + font size in the screen shot was so that the demonstration of 256 color + mode support would fit into a single screen shot without scrolling :-) + (I wasn't feeling very creative). + + .. image:: images/ansi-demo.png + + **Support for 24-bit colors** + + In `release 4.14`_ support for 24-bit colors was added by accepting a tuple + or list with three integers representing the RGB (red, green, blue) value + of a color. This is not included in the demo because rendering millions of + colors was deemed unpractical ;-). + + .. _release 4.7: http://humanfriendly.readthedocs.io/en/latest/changelog.html#release-4-7-2018-01-14 + .. _release 4.14: http://humanfriendly.readthedocs.io/en/latest/changelog.html#release-4-14-2018-07-13 + """ + # Start with sequences that change text styles. + sequences = [ANSI_TEXT_STYLES[k] for k, v in kw.items() if k in ANSI_TEXT_STYLES and v] + # Append the color code (if any). + for color_type in 'color', 'background': + color_value = kw.get(color_type) + if isinstance(color_value, (tuple, list)): + if len(color_value) != 3: + msg = "Invalid color value %r! (expected tuple or list with three numbers)" + raise ValueError(msg % color_value) + sequences.append(48 if color_type == 'background' else 38) + sequences.append(2) + sequences.extend(map(int, color_value)) + elif isinstance(color_value, numbers.Number): + # Numeric values are assumed to be 256 color codes. + sequences.extend(( + 39 if color_type == 'background' else 38, + 5, int(color_value) + )) + elif color_value: + # Other values are assumed to be strings containing one of the known color names. + if color_value not in ANSI_COLOR_CODES: + msg = "Invalid color value %r! (expected an integer or one of the strings %s)" + raise ValueError(msg % (color_value, concatenate(map(repr, sorted(ANSI_COLOR_CODES))))) + # Pick the right offset for foreground versus background + # colors and regular intensity versus bright colors. + offset = ( + (100 if kw.get('bright') else 40) + if color_type == 'background' + else (90 if kw.get('bright') else 30) + ) + # Combine the offset and color code into a single integer. + sequences.append(offset + ANSI_COLOR_CODES[color_value]) + if sequences: + encoded = ANSI_CSI + ';'.join(map(str, sequences)) + ANSI_SGR + return readline_wrap(encoded) if kw.get('readline_hints') else encoded + else: + return '' + + +def ansi_width(text): + """ + Calculate the effective width of the given text (ignoring ANSI escape sequences). + + :param text: The text whose width should be calculated (a string). + :returns: The width of the text without ANSI escape sequences (an + integer). + + This function uses :func:`ansi_strip()` to strip ANSI escape sequences from + the given string and returns the length of the resulting string. + """ + return len(ansi_strip(text)) + + +def ansi_wrap(text, **kw): + """ + Wrap text in ANSI escape sequences for the given color and/or style(s). + + :param text: The text to wrap (a string). + :param kw: Any keyword arguments are passed to :func:`ansi_style()`. + :returns: The result of this function depends on the keyword arguments: + + - If :func:`ansi_style()` generates an ANSI escape sequence based + on the keyword arguments, the given text is prefixed with the + generated ANSI escape sequence and suffixed with + :data:`ANSI_RESET`. + + - If :func:`ansi_style()` returns an empty string then the text + given by the caller is returned unchanged. + """ + start_sequence = ansi_style(**kw) + if start_sequence: + end_sequence = ANSI_RESET + if kw.get('readline_hints'): + end_sequence = readline_wrap(end_sequence) + return start_sequence + text + end_sequence + else: + return text + + +def auto_encode(stream, text, *args, **kw): + """ + Reliably write Unicode strings to the terminal. + + :param stream: The file-like object to write to (a value like + :data:`sys.stdout` or :data:`sys.stderr`). + :param text: The text to write to the stream (a string). + :param args: Refer to :func:`~humanfriendly.text.format()`. + :param kw: Refer to :func:`~humanfriendly.text.format()`. + + Renders the text using :func:`~humanfriendly.text.format()` and writes it + to the given stream. If an :exc:`~exceptions.UnicodeEncodeError` is + encountered in doing so, the text is encoded using :data:`DEFAULT_ENCODING` + and the write is retried. The reasoning behind this rather blunt approach + is that it's preferable to get output on the command line in the wrong + encoding then to have the Python program blow up with a + :exc:`~exceptions.UnicodeEncodeError` exception. + """ + text = format(text, *args, **kw) + try: + stream.write(text) + except UnicodeEncodeError: + stream.write(codecs.encode(text, DEFAULT_ENCODING)) + + +def clean_terminal_output(text): + """ + Clean up the terminal output of a command. + + :param text: The raw text with special characters (a Unicode string). + :returns: A list of Unicode strings (one for each line). + + This function emulates the effect of backspace (0x08), carriage return + (0x0D) and line feed (0x0A) characters and the ANSI 'erase line' escape + sequence on interactive terminals. It's intended to clean up command output + that was originally meant to be rendered on an interactive terminal and + that has been captured using e.g. the :man:`script` program [#]_ or the + :mod:`pty` module [#]_. + + .. [#] My coloredlogs_ package supports the ``coloredlogs --to-html`` + command which uses :man:`script` to fool a subprocess into thinking + that it's connected to an interactive terminal (in order to get it + to emit ANSI escape sequences). + + .. [#] My capturer_ package uses the :mod:`pty` module to fool the current + process and subprocesses into thinking they are connected to an + interactive terminal (in order to get them to emit ANSI escape + sequences). + + **Some caveats about the use of this function:** + + - Strictly speaking the effect of carriage returns cannot be emulated + outside of an actual terminal due to the interaction between overlapping + output, terminal widths and line wrapping. The goal of this function is + to sanitize noise in terminal output while preserving useful output. + Think of it as a useful and pragmatic but possibly lossy conversion. + + - The algorithm isn't smart enough to properly handle a pair of ANSI escape + sequences that open before a carriage return and close after the last + carriage return in a linefeed delimited string; the resulting string will + contain only the closing end of the ANSI escape sequence pair. Tracking + this kind of complexity requires a state machine and proper parsing. + + .. _capturer: https://pypi.org/project/capturer + .. _coloredlogs: https://pypi.org/project/coloredlogs + """ + cleaned_lines = [] + current_line = '' + current_position = 0 + for token in CLEAN_OUTPUT_PATTERN.split(text): + if token == '\r': + # Seek back to the start of the current line. + current_position = 0 + elif token == '\b': + # Seek back one character in the current line. + current_position = max(0, current_position - 1) + else: + if token == '\n': + # Capture the current line. + cleaned_lines.append(current_line) + if token in ('\n', ANSI_ERASE_LINE): + # Clear the current line. + current_line = '' + current_position = 0 + elif token: + # Merge regular output into the current line. + new_position = current_position + len(token) + prefix = current_line[:current_position] + suffix = current_line[new_position:] + current_line = prefix + token + suffix + current_position = new_position + # Capture the last line (if any). + cleaned_lines.append(current_line) + # Remove any empty trailing lines. + while cleaned_lines and not cleaned_lines[-1]: + cleaned_lines.pop(-1) + return cleaned_lines + + +def connected_to_terminal(stream=None): + """ + Check if a stream is connected to a terminal. + + :param stream: The stream to check (a file-like object, + defaults to :data:`sys.stdout`). + :returns: :data:`True` if the stream is connected to a terminal, + :data:`False` otherwise. + + See also :func:`terminal_supports_colors()`. + """ + stream = sys.stdout if stream is None else stream + try: + return stream.isatty() + except Exception: + return False + + +@cached +def enable_ansi_support(): + """ + Try to enable support for ANSI escape sequences (required on Windows). + + :returns: :data:`True` if ANSI is supported, :data:`False` otherwise. + + This functions checks for the following supported configurations, in the + given order: + + 1. On Windows, if :func:`have_windows_native_ansi_support()` confirms + native support for ANSI escape sequences :mod:`ctypes` will be used to + enable this support. + + 2. On Windows, if the environment variable ``$ANSICON`` is set nothing is + done because it is assumed that support for ANSI escape sequences has + already been enabled via `ansicon `_. + + 3. On Windows, an attempt is made to import and initialize the Python + package :pypi:`colorama` instead (of course for this to work + :pypi:`colorama` has to be installed). + + 4. On other platforms this function calls :func:`connected_to_terminal()` + to determine whether ANSI escape sequences are supported (that is to + say all platforms that are not Windows are assumed to support ANSI + escape sequences natively, without weird contortions like above). + + This makes it possible to call :func:`enable_ansi_support()` + unconditionally without checking the current platform. + + The :func:`~humanfriendly.decorators.cached` decorator is used to ensure + that this function is only executed once, but its return value remains + available on later calls. + """ + if have_windows_native_ansi_support(): + import ctypes + ctypes.windll.kernel32.SetConsoleMode(ctypes.windll.kernel32.GetStdHandle(-11), 7) + ctypes.windll.kernel32.SetConsoleMode(ctypes.windll.kernel32.GetStdHandle(-12), 7) + return True + elif on_windows(): + if 'ANSICON' in os.environ: + return True + try: + import colorama + colorama.init() + return True + except ImportError: + return False + else: + return connected_to_terminal() + + +def find_terminal_size(): + """ + Determine the number of lines and columns visible in the terminal. + + :returns: A tuple of two integers with the line and column count. + + The result of this function is based on the first of the following three + methods that works: + + 1. First :func:`find_terminal_size_using_ioctl()` is tried, + 2. then :func:`find_terminal_size_using_stty()` is tried, + 3. finally :data:`DEFAULT_LINES` and :data:`DEFAULT_COLUMNS` are returned. + + .. note:: The :func:`find_terminal_size()` function performs the steps + above every time it is called, the result is not cached. This is + because the size of a virtual terminal can change at any time and + the result of :func:`find_terminal_size()` should be correct. + + `Pre-emptive snarky comment`_: It's possible to cache the result + of this function and use :mod:`signal.SIGWINCH ` to + refresh the cached values! + + Response: As a library I don't consider it the role of the + :mod:`humanfriendly.terminal` module to install a process wide + signal handler ... + + .. _Pre-emptive snarky comment: http://blogs.msdn.com/b/oldnewthing/archive/2008/01/30/7315957.aspx + """ + # The first method. Any of the standard streams may have been redirected + # somewhere and there's no telling which, so we'll just try them all. + for stream in sys.stdin, sys.stdout, sys.stderr: + try: + result = find_terminal_size_using_ioctl(stream) + if min(result) >= 1: + return result + except Exception: + pass + # The second method. + try: + result = find_terminal_size_using_stty() + if min(result) >= 1: + return result + except Exception: + pass + # Fall back to conservative defaults. + return DEFAULT_LINES, DEFAULT_COLUMNS + + +def find_terminal_size_using_ioctl(stream): + """ + Find the terminal size using :func:`fcntl.ioctl()`. + + :param stream: A stream connected to the terminal (a file object with a + ``fileno`` attribute). + :returns: A tuple of two integers with the line and column count. + :raises: This function can raise exceptions but I'm not going to document + them here, you should be using :func:`find_terminal_size()`. + + Based on an `implementation found on StackOverflow `_. + """ + if not HAVE_IOCTL: + raise NotImplementedError("It looks like the `fcntl' module is not available!") + h, w, hp, wp = struct.unpack('HHHH', fcntl.ioctl(stream, termios.TIOCGWINSZ, struct.pack('HHHH', 0, 0, 0, 0))) + return h, w + + +def find_terminal_size_using_stty(): + """ + Find the terminal size using the external command ``stty size``. + + :param stream: A stream connected to the terminal (a file object). + :returns: A tuple of two integers with the line and column count. + :raises: This function can raise exceptions but I'm not going to document + them here, you should be using :func:`find_terminal_size()`. + """ + stty = subprocess.Popen(['stty', 'size'], + stdout=subprocess.PIPE, + stderr=subprocess.PIPE) + stdout, stderr = stty.communicate() + tokens = stdout.split() + if len(tokens) != 2: + raise Exception("Invalid output from `stty size'!") + return tuple(map(int, tokens)) + + +def get_pager_command(text=None): + """ + Get the command to show a text on the terminal using a pager. + + :param text: The text to print to the terminal (a string). + :returns: A list of strings with the pager command and arguments. + + The use of a pager helps to avoid the wall of text effect where the user + has to scroll up to see where the output began (not very user friendly). + + If the given text contains ANSI escape sequences the command ``less + --RAW-CONTROL-CHARS`` is used, otherwise the environment variable + ``$PAGER`` is used (if ``$PAGER`` isn't set :man:`less` is used). + + When the selected pager is :man:`less`, the following options are used to + make the experience more user friendly: + + - ``--quit-if-one-screen`` causes :man:`less` to automatically exit if the + entire text can be displayed on the first screen. This makes the use of a + pager transparent for smaller texts (because the operator doesn't have to + quit the pager). + + - ``--no-init`` prevents :man:`less` from clearing the screen when it + exits. This ensures that the operator gets a chance to review the text + (for example a usage message) after quitting the pager, while composing + the next command. + """ + # Compose the pager command. + if text and ANSI_CSI in text: + command_line = ['less', '--RAW-CONTROL-CHARS'] + else: + command_line = [os.environ.get('PAGER', 'less')] + # Pass some additional options to `less' (to make it more + # user friendly) without breaking support for other pagers. + if os.path.basename(command_line[0]) == 'less': + command_line.append('--no-init') + command_line.append('--quit-if-one-screen') + return command_line + + +@cached +def have_windows_native_ansi_support(): + """ + Check if we're running on a Windows 10 release with native support for ANSI escape sequences. + + :returns: :data:`True` if so, :data:`False` otherwise. + + The :func:`~humanfriendly.decorators.cached` decorator is used as a minor + performance optimization. Semantically this should have zero impact because + the answer doesn't change in the lifetime of a computer process. + """ + if on_windows(): + try: + # I can't be 100% sure this will never break and I'm not in a + # position to test it thoroughly either, so I decided that paying + # the price of one additional try / except statement is worth the + # additional peace of mind :-). + components = tuple(int(c) for c in platform.version().split('.')) + return components >= (10, 0, 14393) + except Exception: + pass + return False + + +def message(text, *args, **kw): + """ + Print a formatted message to the standard error stream. + + For details about argument handling please refer to + :func:`~humanfriendly.text.format()`. + + Renders the message using :func:`~humanfriendly.text.format()` and writes + the resulting string (followed by a newline) to :data:`sys.stderr` using + :func:`auto_encode()`. + """ + auto_encode(sys.stderr, coerce_string(text) + '\n', *args, **kw) + + +def output(text, *args, **kw): + """ + Print a formatted message to the standard output stream. + + For details about argument handling please refer to + :func:`~humanfriendly.text.format()`. + + Renders the message using :func:`~humanfriendly.text.format()` and writes + the resulting string (followed by a newline) to :data:`sys.stdout` using + :func:`auto_encode()`. + """ + auto_encode(sys.stdout, coerce_string(text) + '\n', *args, **kw) + + +def readline_strip(expr): + """ + Remove `readline hints`_ from a string. + + :param text: The text to strip (a string). + :returns: The stripped text. + """ + return expr.replace('\001', '').replace('\002', '') + + +def readline_wrap(expr): + """ + Wrap an ANSI escape sequence in `readline hints`_. + + :param text: The text with the escape sequence to wrap (a string). + :returns: The wrapped text. + + .. _readline hints: http://superuser.com/a/301355 + """ + return '\001' + expr + '\002' + + +def show_pager(formatted_text, encoding=DEFAULT_ENCODING): + """ + Print a large text to the terminal using a pager. + + :param formatted_text: The text to print to the terminal (a string). + :param encoding: The name of the text encoding used to encode the formatted + text if the formatted text is a Unicode string (a string, + defaults to :data:`DEFAULT_ENCODING`). + + When :func:`connected_to_terminal()` returns :data:`True` a pager is used + to show the text on the terminal, otherwise the text is printed directly + without invoking a pager. + + The use of a pager helps to avoid the wall of text effect where the user + has to scroll up to see where the output began (not very user friendly). + + Refer to :func:`get_pager_command()` for details about the command line + that's used to invoke the pager. + """ + if connected_to_terminal(): + # Make sure the selected pager command is available. + command_line = get_pager_command(formatted_text) + if which(command_line[0]): + pager = subprocess.Popen(command_line, stdin=subprocess.PIPE) + if is_unicode(formatted_text): + formatted_text = formatted_text.encode(encoding) + pager.communicate(input=formatted_text) + return + output(formatted_text) + + +def terminal_supports_colors(stream=None): + """ + Check if a stream is connected to a terminal that supports ANSI escape sequences. + + :param stream: The stream to check (a file-like object, + defaults to :data:`sys.stdout`). + :returns: :data:`True` if the terminal supports ANSI escape sequences, + :data:`False` otherwise. + + This function was originally inspired by the implementation of + `django.core.management.color.supports_color() + `_ + but has since evolved significantly. + """ + if on_windows(): + # On Windows support for ANSI escape sequences is not a given. + have_ansicon = 'ANSICON' in os.environ + have_colorama = 'colorama' in sys.modules + have_native_support = have_windows_native_ansi_support() + if not (have_ansicon or have_colorama or have_native_support): + return False + return connected_to_terminal(stream) + + +def usage(usage_text): + """ + Print a human friendly usage message to the terminal. + + :param text: The usage message to print (a string). + + This function does two things: + + 1. If :data:`sys.stdout` is connected to a terminal (see + :func:`connected_to_terminal()`) then the usage message is formatted + using :func:`.format_usage()`. + 2. The usage message is shown using a pager (see :func:`show_pager()`). + """ + if terminal_supports_colors(sys.stdout): + usage_text = format_usage(usage_text) + show_pager(usage_text) + + +def warning(text, *args, **kw): + """ + Show a warning message on the terminal. + + For details about argument handling please refer to + :func:`~humanfriendly.text.format()`. + + Renders the message using :func:`~humanfriendly.text.format()` and writes + the resulting string (followed by a newline) to :data:`sys.stderr` using + :func:`auto_encode()`. + + If :data:`sys.stderr` is connected to a terminal that supports colors, + :func:`ansi_wrap()` is used to color the message in a red font (to make + the warning stand out from surrounding text). + """ + text = coerce_string(text) + if terminal_supports_colors(sys.stderr): + text = ansi_wrap(text, color='red') + auto_encode(sys.stderr, text + '\n', *args, **kw) + + +# Define aliases for backwards compatibility. +define_aliases( + module_name=__name__, + # In humanfriendly 1.31 the find_meta_variables() and format_usage() + # functions were extracted to the new module humanfriendly.usage. + find_meta_variables='humanfriendly.usage.find_meta_variables', + format_usage='humanfriendly.usage.format_usage', + # In humanfriendly 8.0 the html_to_ansi() function and HTMLConverter + # class were extracted to the new module humanfriendly.terminal.html. + html_to_ansi='humanfriendly.terminal.html.html_to_ansi', + HTMLConverter='humanfriendly.terminal.html.HTMLConverter', +) diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/__pycache__/html.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/__pycache__/html.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..dae4c995c4c8a2c4cf8ecc2875290f3d87a13c67 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/__pycache__/html.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/__pycache__/spinners.cpython-312.pyc b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/__pycache__/spinners.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..b6c816fd53af3ac7b3347e875ba2d955e3476c58 Binary files /dev/null and b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/__pycache__/spinners.cpython-312.pyc differ diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/html.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/html.py new file mode 100644 index 0000000000000000000000000000000000000000..4214e09e7069a8a3e4a96cdc870c78db91f4fe13 --- /dev/null +++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/html.py @@ -0,0 +1,423 @@ +# Human friendly input/output in Python. +# +# Author: Peter Odding +# Last Change: February 29, 2020 +# URL: https://humanfriendly.readthedocs.io + +"""Convert HTML with simple text formatting to text with ANSI escape sequences.""" + +# Standard library modules. +import re + +# Modules included in our package. +from humanfriendly.compat import HTMLParser, StringIO, name2codepoint, unichr +from humanfriendly.text import compact_empty_lines +from humanfriendly.terminal import ANSI_COLOR_CODES, ANSI_RESET, ansi_style + +# Public identifiers that require documentation. +__all__ = ('HTMLConverter', 'html_to_ansi') + + +def html_to_ansi(data, callback=None): + """ + Convert HTML with simple text formatting to text with ANSI escape sequences. + + :param data: The HTML to convert (a string). + :param callback: Optional callback to pass to :class:`HTMLConverter`. + :returns: Text with ANSI escape sequences (a string). + + Please refer to the documentation of the :class:`HTMLConverter` class for + details about the conversion process (like which tags are supported) and an + example with a screenshot. + """ + converter = HTMLConverter(callback=callback) + return converter(data) + + +class HTMLConverter(HTMLParser): + + """ + Convert HTML with simple text formatting to text with ANSI escape sequences. + + The following text styles are supported: + + - Bold: ````, ```` and ```` + - Italic: ````, ```` and ```` + - Strike-through: ````, ```` and ```` + - Underline: ````, ```` and ```` + + Colors can be specified as follows: + + - Foreground color: ```` + - Background color: ```` + + Here's a small demonstration: + + .. code-block:: python + + from humanfriendly.text import dedent + from humanfriendly.terminal import html_to_ansi + + print(html_to_ansi(dedent(''' + Hello world! + Is this thing on? + I guess I can underline or strike-through text? + And what about color? + '''))) + + rainbow_colors = [ + '#FF0000', '#E2571E', '#FF7F00', '#FFFF00', '#00FF00', + '#96BF33', '#0000FF', '#4B0082', '#8B00FF', '#FFFFFF', + ] + html_rainbow = "".join('o' % c for c in rainbow_colors) + print(html_to_ansi("Let's try a rainbow: %s" % html_rainbow)) + + Here's what the results look like: + + .. image:: images/html-to-ansi.png + + Some more details: + + - Nested tags are supported, within reasonable limits. + + - Text in ```` and ``
`` tags will be highlighted in a
+      different color from the main text (currently this is yellow).
+
+    - ``TEXT`` is converted to the format "TEXT (URL)" where
+      the uppercase symbols are highlighted in light blue with an underline.
+
+    - ``
``, ``
`` and ``
`` tags are considered block level tags
+      and are wrapped in vertical whitespace to prevent their content from
+      "running into" surrounding text. This may cause runs of multiple empty
+      lines to be emitted. As a *workaround* the :func:`__call__()` method
+      will automatically call :func:`.compact_empty_lines()` on the generated
+      output before returning it to the caller. Of course this won't work
+      when `output` is set to something like :data:`sys.stdout`.
+
+    - ``
`` is converted to a single plain text line break.
+
+    Implementation notes:
+
+    - A list of dictionaries with style information is used as a stack where
+      new styling can be pushed and a pop will restore the previous styling.
+      When new styling is pushed, it is merged with (but overrides) the current
+      styling.
+
+    - If you're going to be converting a lot of HTML it might be useful from
+      a performance standpoint to re-use an existing :class:`HTMLConverter`
+      object for unrelated HTML fragments, in this case take a look at the
+      :func:`__call__()` method (it makes this use case very easy).
+
+    .. versionadded:: 4.15
+       :class:`humanfriendly.terminal.HTMLConverter` was added to the
+       `humanfriendly` package during the initial development of my new
+       `chat-archive `_ project, whose
+       command line interface makes for a great demonstration of the
+       flexibility that this feature provides (hint: check out how the search
+       keyword highlighting combines with the regular highlighting).
+    """
+
+    BLOCK_TAGS = ('div', 'p', 'pre')
+    """The names of tags that are padded with vertical whitespace."""
+
+    def __init__(self, *args, **kw):
+        """
+        Initialize an :class:`HTMLConverter` object.
+
+        :param callback: Optional keyword argument to specify a function that
+                         will be called to process text fragments before they
+                         are emitted on the output stream. Note that link text
+                         and preformatted text fragments are not processed by
+                         this callback.
+        :param output: Optional keyword argument to redirect the output to the
+                       given file-like object. If this is not given a new
+                       :class:`~python3:io.StringIO` object is created.
+        """
+        # Hide our optional keyword arguments from the superclass.
+        self.callback = kw.pop("callback", None)
+        self.output = kw.pop("output", None)
+        # Initialize the superclass.
+        HTMLParser.__init__(self, *args, **kw)
+
+    def __call__(self, data):
+        """
+        Reset the parser, convert some HTML and get the text with ANSI escape sequences.
+
+        :param data: The HTML to convert to text (a string).
+        :returns: The converted text (only in case `output` is
+                  a :class:`~python3:io.StringIO` object).
+        """
+        self.reset()
+        self.feed(data)
+        self.close()
+        if isinstance(self.output, StringIO):
+            return compact_empty_lines(self.output.getvalue())
+
+    @property
+    def current_style(self):
+        """Get the current style from the top of the stack (a dictionary)."""
+        return self.stack[-1] if self.stack else {}
+
+    def close(self):
+        """
+        Close previously opened ANSI escape sequences.
+
+        This method overrides the same method in the superclass to ensure that
+        an :data:`.ANSI_RESET` code is emitted when parsing reaches the end of
+        the input but a style is still active. This is intended to prevent
+        malformed HTML from messing up terminal output.
+        """
+        if any(self.stack):
+            self.output.write(ANSI_RESET)
+            self.stack = []
+        HTMLParser.close(self)
+
+    def emit_style(self, style=None):
+        """
+        Emit an ANSI escape sequence for the given or current style to the output stream.
+
+        :param style: A dictionary with arguments for :func:`.ansi_style()` or
+                      :data:`None`, in which case the style at the top of the
+                      stack is emitted.
+        """
+        # Clear the current text styles.
+        self.output.write(ANSI_RESET)
+        # Apply a new text style?
+        style = self.current_style if style is None else style
+        if style:
+            self.output.write(ansi_style(**style))
+
+    def handle_charref(self, value):
+        """
+        Process a decimal or hexadecimal numeric character reference.
+
+        :param value: The decimal or hexadecimal value (a string).
+        """
+        self.output.write(unichr(int(value[1:], 16) if value.startswith('x') else int(value)))
+
+    def handle_data(self, data):
+        """
+        Process textual data.
+
+        :param data: The decoded text (a string).
+        """
+        if self.link_url:
+            # Link text is captured literally so that we can reliably check
+            # whether the text and the URL of the link are the same string.
+            self.link_text = data
+        elif self.callback and self.preformatted_text_level == 0:
+            # Text that is not part of a link and not preformatted text is
+            # passed to the user defined callback to allow for arbitrary
+            # pre-processing.
+            data = self.callback(data)
+        # All text is emitted unmodified on the output stream.
+        self.output.write(data)
+
+    def handle_endtag(self, tag):
+        """
+        Process the end of an HTML tag.
+
+        :param tag: The name of the tag (a string).
+        """
+        if tag in ('a', 'b', 'code', 'del', 'em', 'i', 'ins', 'pre', 's', 'strong', 'span', 'u'):
+            old_style = self.current_style
+            # The following conditional isn't necessary for well formed
+            # HTML but prevents raising exceptions on malformed HTML.
+            if self.stack:
+                self.stack.pop(-1)
+            new_style = self.current_style
+            if tag == 'a':
+                if self.urls_match(self.link_text, self.link_url):
+                    # Don't render the URL when it's part of the link text.
+                    self.emit_style(new_style)
+                else:
+                    self.emit_style(new_style)
+                    self.output.write(' (')
+                    self.emit_style(old_style)
+                    self.output.write(self.render_url(self.link_url))
+                    self.emit_style(new_style)
+                    self.output.write(')')
+            else:
+                self.emit_style(new_style)
+            if tag in ('code', 'pre'):
+                self.preformatted_text_level -= 1
+        if tag in self.BLOCK_TAGS:
+            # Emit an empty line after block level tags.
+            self.output.write('\n\n')
+
+    def handle_entityref(self, name):
+        """
+        Process a named character reference.
+
+        :param name: The name of the character reference (a string).
+        """
+        self.output.write(unichr(name2codepoint[name]))
+
+    def handle_starttag(self, tag, attrs):
+        """
+        Process the start of an HTML tag.
+
+        :param tag: The name of the tag (a string).
+        :param attrs: A list of tuples with two strings each.
+        """
+        if tag in self.BLOCK_TAGS:
+            # Emit an empty line before block level tags.
+            self.output.write('\n\n')
+        if tag == 'a':
+            self.push_styles(color='blue', bright=True, underline=True)
+            # Store the URL that the link points to for later use, so that we
+            # can render the link text before the URL (with the reasoning that
+            # this is the most intuitive way to present a link in a plain text
+            # interface).
+            self.link_url = next((v for n, v in attrs if n == 'href'), '')
+        elif tag == 'b' or tag == 'strong':
+            self.push_styles(bold=True)
+        elif tag == 'br':
+            self.output.write('\n')
+        elif tag == 'code' or tag == 'pre':
+            self.push_styles(color='yellow')
+            self.preformatted_text_level += 1
+        elif tag == 'del' or tag == 's':
+            self.push_styles(strike_through=True)
+        elif tag == 'em' or tag == 'i':
+            self.push_styles(italic=True)
+        elif tag == 'ins' or tag == 'u':
+            self.push_styles(underline=True)
+        elif tag == 'span':
+            styles = {}
+            css = next((v for n, v in attrs if n == 'style'), "")
+            for rule in css.split(';'):
+                name, _, value = rule.partition(':')
+                name = name.strip()
+                value = value.strip()
+                if name == 'background-color':
+                    styles['background'] = self.parse_color(value)
+                elif name == 'color':
+                    styles['color'] = self.parse_color(value)
+                elif name == 'font-style' and value == 'italic':
+                    styles['italic'] = True
+                elif name == 'font-weight' and value == 'bold':
+                    styles['bold'] = True
+                elif name == 'text-decoration' and value == 'line-through':
+                    styles['strike_through'] = True
+                elif name == 'text-decoration' and value == 'underline':
+                    styles['underline'] = True
+            self.push_styles(**styles)
+
+    def normalize_url(self, url):
+        """
+        Normalize a URL to enable string equality comparison.
+
+        :param url: The URL to normalize (a string).
+        :returns: The normalized URL (a string).
+        """
+        return re.sub('^mailto:', '', url)
+
+    def parse_color(self, value):
+        """
+        Convert a CSS color to something that :func:`.ansi_style()` understands.
+
+        :param value: A string like ``rgb(1,2,3)``, ``#AABBCC`` or ``yellow``.
+        :returns: A color value supported by :func:`.ansi_style()` or :data:`None`.
+        """
+        # Parse an 'rgb(N,N,N)' expression.
+        if value.startswith('rgb'):
+            tokens = re.findall(r'\d+', value)
+            if len(tokens) == 3:
+                return tuple(map(int, tokens))
+        # Parse an '#XXXXXX' expression.
+        elif value.startswith('#'):
+            value = value[1:]
+            length = len(value)
+            if length == 6:
+                # Six hex digits (proper notation).
+                return (
+                    int(value[:2], 16),
+                    int(value[2:4], 16),
+                    int(value[4:6], 16),
+                )
+            elif length == 3:
+                # Three hex digits (shorthand).
+                return (
+                    int(value[0], 16),
+                    int(value[1], 16),
+                    int(value[2], 16),
+                )
+        # Try to recognize a named color.
+        value = value.lower()
+        if value in ANSI_COLOR_CODES:
+            return value
+
+    def push_styles(self, **changes):
+        """
+        Push new style information onto the stack.
+
+        :param changes: Any keyword arguments are passed on to :func:`.ansi_style()`.
+
+        This method is a helper for :func:`handle_starttag()`
+        that does the following:
+
+        1. Make a copy of the current styles (from the top of the stack),
+        2. Apply the given `changes` to the copy of the current styles,
+        3. Add the new styles to the stack,
+        4. Emit the appropriate ANSI escape sequence to the output stream.
+        """
+        prototype = self.current_style
+        if prototype:
+            new_style = dict(prototype)
+            new_style.update(changes)
+        else:
+            new_style = changes
+        self.stack.append(new_style)
+        self.emit_style(new_style)
+
+    def render_url(self, url):
+        """
+        Prepare a URL for rendering on the terminal.
+
+        :param url: The URL to simplify (a string).
+        :returns: The simplified URL (a string).
+
+        This method pre-processes a URL before rendering on the terminal. The
+        following modifications are made:
+
+        - The ``mailto:`` prefix is stripped.
+        - Spaces are converted to ``%20``.
+        - A trailing parenthesis is converted to ``%29``.
+        """
+        url = re.sub('^mailto:', '', url)
+        url = re.sub(' ', '%20', url)
+        url = re.sub(r'\)$', '%29', url)
+        return url
+
+    def reset(self):
+        """
+        Reset the state of the HTML parser and ANSI converter.
+
+        When `output` is a :class:`~python3:io.StringIO` object a new
+        instance will be created (and the old one garbage collected).
+        """
+        # Reset the state of the superclass.
+        HTMLParser.reset(self)
+        # Reset our instance variables.
+        self.link_text = None
+        self.link_url = None
+        self.preformatted_text_level = 0
+        if self.output is None or isinstance(self.output, StringIO):
+            # If the caller specified something like output=sys.stdout then it
+            # doesn't make much sense to negate that choice here in reset().
+            self.output = StringIO()
+        self.stack = []
+
+    def urls_match(self, a, b):
+        """
+        Compare two URLs for equality using :func:`normalize_url()`.
+
+        :param a: A string containing a URL.
+        :param b: A string containing a URL.
+        :returns: :data:`True` if the URLs are the same, :data:`False` otherwise.
+
+        This method is used by :func:`handle_endtag()` to omit the URL of a
+        hyperlink (````) when the link text is that same URL.
+        """
+        return self.normalize_url(a) == self.normalize_url(b)
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/spinners.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/spinners.py
new file mode 100644
index 0000000000000000000000000000000000000000..e4dc55d3026790bf0b5e3e5f48f88373868804b5
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/humanfriendly/terminal/spinners.py
@@ -0,0 +1,310 @@
+# Human friendly input/output in Python.
+#
+# Author: Peter Odding 
+# Last Change: March 1, 2020
+# URL: https://humanfriendly.readthedocs.io
+
+"""
+Support for spinners that represent progress on interactive terminals.
+
+The :class:`Spinner` class shows a "spinner" on the terminal to let the user
+know that something is happening during long running operations that would
+otherwise be silent (leaving the user to wonder what they're waiting for).
+Below are some visual examples that should illustrate the point.
+
+**Simple spinners:**
+
+ Here's a screen capture that shows the simplest form of spinner:
+
+  .. image:: images/spinner-basic.gif
+     :alt: Animated screen capture of a simple spinner.
+
+ The following code was used to create the spinner above:
+
+ .. code-block:: python
+
+    import itertools
+    import time
+    from humanfriendly import Spinner
+
+    with Spinner(label="Downloading") as spinner:
+        for i in itertools.count():
+            # Do something useful here.
+            time.sleep(0.1)
+            # Advance the spinner.
+            spinner.step()
+
+**Spinners that show elapsed time:**
+
+ Here's a spinner that shows the elapsed time since it started:
+
+  .. image:: images/spinner-with-timer.gif
+     :alt: Animated screen capture of a spinner showing elapsed time.
+
+ The following code was used to create the spinner above:
+
+ .. code-block:: python
+
+    import itertools
+    import time
+    from humanfriendly import Spinner, Timer
+
+    with Spinner(label="Downloading", timer=Timer()) as spinner:
+        for i in itertools.count():
+            # Do something useful here.
+            time.sleep(0.1)
+            # Advance the spinner.
+            spinner.step()
+
+**Spinners that show progress:**
+
+ Here's a spinner that shows a progress percentage:
+
+  .. image:: images/spinner-with-progress.gif
+     :alt: Animated screen capture of spinner showing progress.
+
+ The following code was used to create the spinner above:
+
+ .. code-block:: python
+
+    import itertools
+    import random
+    import time
+    from humanfriendly import Spinner, Timer
+
+    with Spinner(label="Downloading", total=100) as spinner:
+        progress = 0
+        while progress < 100:
+            # Do something useful here.
+            time.sleep(0.1)
+            # Advance the spinner.
+            spinner.step(progress)
+            # Determine the new progress value.
+            progress += random.random() * 5
+
+If you want to provide user feedback during a long running operation but it's
+not practical to periodically call the :func:`~Spinner.step()` method consider
+using :class:`AutomaticSpinner` instead.
+
+As you may already have noticed in the examples above, :class:`Spinner` objects
+can be used as context managers to automatically call :func:`Spinner.clear()`
+when the spinner ends.
+"""
+
+# Standard library modules.
+import multiprocessing
+import sys
+import time
+
+# Modules included in our package.
+from humanfriendly import Timer
+from humanfriendly.deprecation import deprecated_args
+from humanfriendly.terminal import ANSI_ERASE_LINE
+
+# Public identifiers that require documentation.
+__all__ = ("AutomaticSpinner", "GLYPHS", "MINIMUM_INTERVAL", "Spinner")
+
+GLYPHS = ["-", "\\", "|", "/"]
+"""A list of strings with characters that together form a crude animation :-)."""
+
+MINIMUM_INTERVAL = 0.2
+"""Spinners are redrawn with a frequency no higher than this number (a floating point number of seconds)."""
+
+
+class Spinner(object):
+
+    """Show a spinner on the terminal as a simple means of feedback to the user."""
+
+    @deprecated_args('label', 'total', 'stream', 'interactive', 'timer')
+    def __init__(self, **options):
+        """
+        Initialize a :class:`Spinner` object.
+
+        :param label:
+
+          The label for the spinner (a string or :data:`None`, defaults to
+          :data:`None`).
+
+        :param total:
+
+          The expected number of steps (an integer or :data:`None`). If this is
+          provided the spinner will show a progress percentage.
+
+        :param stream:
+
+          The output stream to show the spinner on (a file-like object,
+          defaults to :data:`sys.stderr`).
+
+        :param interactive:
+
+          :data:`True` to enable rendering of the spinner, :data:`False` to
+          disable (defaults to the result of ``stream.isatty()``).
+
+        :param timer:
+
+          A :class:`.Timer` object (optional). If this is given the spinner
+          will show the elapsed time according to the timer.
+
+        :param interval:
+
+          The spinner will be updated at most once every this many seconds
+          (a floating point number, defaults to :data:`MINIMUM_INTERVAL`).
+
+        :param glyphs:
+
+          A list of strings with single characters that are drawn in the same
+          place in succession to implement a simple animated effect (defaults
+          to :data:`GLYPHS`).
+        """
+        # Store initializer arguments.
+        self.interactive = options.get('interactive')
+        self.interval = options.get('interval', MINIMUM_INTERVAL)
+        self.label = options.get('label')
+        self.states = options.get('glyphs', GLYPHS)
+        self.stream = options.get('stream', sys.stderr)
+        self.timer = options.get('timer')
+        self.total = options.get('total')
+        # Define instance variables.
+        self.counter = 0
+        self.last_update = 0
+        # Try to automatically discover whether the stream is connected to
+        # a terminal, but don't fail if no isatty() method is available.
+        if self.interactive is None:
+            try:
+                self.interactive = self.stream.isatty()
+            except Exception:
+                self.interactive = False
+
+    def step(self, progress=0, label=None):
+        """
+        Advance the spinner by one step and redraw it.
+
+        :param progress: The number of the current step, relative to the total
+                         given to the :class:`Spinner` constructor (an integer,
+                         optional). If not provided the spinner will not show
+                         progress.
+        :param label: The label to use while redrawing (a string, optional). If
+                      not provided the label given to the :class:`Spinner`
+                      constructor is used instead.
+
+        This method advances the spinner by one step without starting a new
+        line, causing an animated effect which is very simple but much nicer
+        than waiting for a prompt which is completely silent for a long time.
+
+        .. note:: This method uses time based rate limiting to avoid redrawing
+                  the spinner too frequently. If you know you're dealing with
+                  code that will call :func:`step()` at a high frequency,
+                  consider using :func:`sleep()` to avoid creating the
+                  equivalent of a busy loop that's rate limiting the spinner
+                  99% of the time.
+        """
+        if self.interactive:
+            time_now = time.time()
+            if time_now - self.last_update >= self.interval:
+                self.last_update = time_now
+                state = self.states[self.counter % len(self.states)]
+                label = label or self.label
+                if not label:
+                    raise Exception("No label set for spinner!")
+                elif self.total and progress:
+                    label = "%s: %.2f%%" % (label, progress / (self.total / 100.0))
+                elif self.timer and self.timer.elapsed_time > 2:
+                    label = "%s (%s)" % (label, self.timer.rounded)
+                self.stream.write("%s %s %s ..\r" % (ANSI_ERASE_LINE, state, label))
+                self.counter += 1
+
+    def sleep(self):
+        """
+        Sleep for a short period before redrawing the spinner.
+
+        This method is useful when you know you're dealing with code that will
+        call :func:`step()` at a high frequency. It will sleep for the interval
+        with which the spinner is redrawn (less than a second). This avoids
+        creating the equivalent of a busy loop that's rate limiting the
+        spinner 99% of the time.
+
+        This method doesn't redraw the spinner, you still have to call
+        :func:`step()` in order to do that.
+        """
+        time.sleep(MINIMUM_INTERVAL)
+
+    def clear(self):
+        """
+        Clear the spinner.
+
+        The next line which is shown on the standard output or error stream
+        after calling this method will overwrite the line that used to show the
+        spinner.
+        """
+        if self.interactive:
+            self.stream.write(ANSI_ERASE_LINE)
+
+    def __enter__(self):
+        """
+        Enable the use of spinners as context managers.
+
+        :returns: The :class:`Spinner` object.
+        """
+        return self
+
+    def __exit__(self, exc_type=None, exc_value=None, traceback=None):
+        """Clear the spinner when leaving the context."""
+        self.clear()
+
+
+class AutomaticSpinner(object):
+
+    """
+    Show a spinner on the terminal that automatically starts animating.
+
+    This class shows a spinner on the terminal (just like :class:`Spinner`
+    does) that automatically starts animating. This class should be used as a
+    context manager using the :keyword:`with` statement. The animation
+    continues for as long as the context is active.
+
+    :class:`AutomaticSpinner` provides an alternative to :class:`Spinner`
+    for situations where it is not practical for the caller to periodically
+    call :func:`~Spinner.step()` to advance the animation, e.g. because
+    you're performing a blocking call and don't fancy implementing threading or
+    subprocess handling just to provide some user feedback.
+
+    This works using the :mod:`multiprocessing` module by spawning a
+    subprocess to render the spinner while the main process is busy doing
+    something more useful. By using the :keyword:`with` statement you're
+    guaranteed that the subprocess is properly terminated at the appropriate
+    time.
+    """
+
+    def __init__(self, label, show_time=True):
+        """
+        Initialize an automatic spinner.
+
+        :param label: The label for the spinner (a string).
+        :param show_time: If this is :data:`True` (the default) then the spinner
+                          shows elapsed time.
+        """
+        self.label = label
+        self.show_time = show_time
+        self.shutdown_event = multiprocessing.Event()
+        self.subprocess = multiprocessing.Process(target=self._target)
+
+    def __enter__(self):
+        """Enable the use of automatic spinners as context managers."""
+        self.subprocess.start()
+
+    def __exit__(self, exc_type=None, exc_value=None, traceback=None):
+        """Enable the use of automatic spinners as context managers."""
+        self.shutdown_event.set()
+        self.subprocess.join()
+
+    def _target(self):
+        try:
+            timer = Timer() if self.show_time else None
+            with Spinner(label=self.label, timer=timer) as spinner:
+                while not self.shutdown_event.is_set():
+                    spinner.step()
+                    spinner.sleep()
+        except KeyboardInterrupt:
+            # Swallow Control-C signals without producing a nasty traceback that
+            # won't make any sense to the average user.
+            pass
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diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_metadata-8.7.0.dist-info/licenses/LICENSE b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_metadata-8.7.0.dist-info/licenses/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..d645695673349e3947e8e5ae42332d0ac3164cd7
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_metadata-8.7.0.dist-info/licenses/LICENSE
@@ -0,0 +1,202 @@
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
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+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
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diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_metadata/compat/py311.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_metadata/compat/py311.py
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index 0000000000000000000000000000000000000000..3a5327436f9b1d9eae371e321c491a270634b3cf
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_metadata/compat/py311.py
@@ -0,0 +1,22 @@
+import os
+import pathlib
+import sys
+import types
+
+
+def wrap(path):  # pragma: no cover
+    """
+    Workaround for https://github.com/python/cpython/issues/84538
+    to add backward compatibility for walk_up=True.
+    An example affected package is dask-labextension, which uses
+    jupyter-packaging to install JupyterLab javascript files outside
+    of site-packages.
+    """
+
+    def relative_to(root, *, walk_up=False):
+        return pathlib.Path(os.path.relpath(path, root))
+
+    return types.SimpleNamespace(relative_to=relative_to)
+
+
+relative_fix = wrap if sys.version_info < (3, 12) else lambda x: x
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_metadata/compat/py39.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_metadata/compat/py39.py
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index 0000000000000000000000000000000000000000..3eb9c01ecbbdcdf7b79d8840ee91c2fe7a734a1c
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_metadata/compat/py39.py
@@ -0,0 +1,42 @@
+"""
+Compatibility layer with Python 3.8/3.9
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, Any
+
+if TYPE_CHECKING:  # pragma: no cover
+    # Prevent circular imports on runtime.
+    from .. import Distribution, EntryPoint
+else:
+    Distribution = EntryPoint = Any
+
+from .._typing import md_none
+
+
+def normalized_name(dist: Distribution) -> str | None:
+    """
+    Honor name normalization for distributions that don't provide ``_normalized_name``.
+    """
+    try:
+        return dist._normalized_name
+    except AttributeError:
+        from .. import Prepared  # -> delay to prevent circular imports.
+
+        return Prepared.normalize(
+            getattr(dist, "name", None) or md_none(dist.metadata)['Name']
+        )
+
+
+def ep_matches(ep: EntryPoint, **params) -> bool:
+    """
+    Workaround for ``EntryPoint`` objects without the ``matches`` method.
+    """
+    try:
+        return ep.matches(**params)
+    except AttributeError:
+        from .. import EntryPoint  # -> delay to prevent circular imports.
+
+        # Reconstruct the EntryPoint object to make sure it is compatible.
+        return EntryPoint(ep.name, ep.value, ep.group).matches(**params)
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@@ -0,0 +1,9 @@
+import sys
+
+__all__ = ['ZipPath']
+
+
+if sys.version_info >= (3, 10):
+    from zipfile import Path as ZipPath
+else:
+    from zipp import Path as ZipPath
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/future/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/future/__init__.py
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index 0000000000000000000000000000000000000000..239e52b795fc45ae614d0f7f641b5b4c3f272740
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/future/adapters.py
@@ -0,0 +1,102 @@
+import functools
+import pathlib
+from contextlib import suppress
+from types import SimpleNamespace
+
+from .. import _adapters, readers
+
+
+def _block_standard(reader_getter):
+    """
+    Wrap _adapters.TraversableResourcesLoader.get_resource_reader
+    and intercept any standard library readers.
+    """
+
+    @functools.wraps(reader_getter)
+    def wrapper(*args, **kwargs):
+        """
+        If the reader is from the standard library, return None to allow
+        allow likely newer implementations in this library to take precedence.
+        """
+        try:
+            reader = reader_getter(*args, **kwargs)
+        except NotADirectoryError:
+            # MultiplexedPath may fail on zip subdirectory
+            return
+        except ValueError as exc:
+            # NamespaceReader in stdlib may fail for editable installs
+            # (python/importlib_resources#311, python/importlib_resources#318)
+            # Remove after bugfix applied to Python 3.13.
+            if "not enough values to unpack" not in str(exc):
+                raise
+            return
+        # Python 3.10+
+        mod_name = reader.__class__.__module__
+        if mod_name.startswith('importlib.') and mod_name.endswith('readers'):
+            return
+        # Python 3.8, 3.9
+        if isinstance(reader, _adapters.CompatibilityFiles) and (
+            reader.spec.loader.__class__.__module__.startswith('zipimport')
+            or reader.spec.loader.__class__.__module__.startswith(
+                '_frozen_importlib_external'
+            )
+        ):
+            return
+        return reader
+
+    return wrapper
+
+
+def _skip_degenerate(reader):
+    """
+    Mask any degenerate reader. Ref #298.
+    """
+    is_degenerate = (
+        isinstance(reader, _adapters.CompatibilityFiles) and not reader._reader
+    )
+    return reader if not is_degenerate else None
+
+
+class TraversableResourcesLoader(_adapters.TraversableResourcesLoader):
+    """
+    Adapt loaders to provide TraversableResources and other
+    compatibility.
+
+    Ensures the readers from importlib_resources are preferred
+    over stdlib readers.
+    """
+
+    def get_resource_reader(self, name):
+        return (
+            _skip_degenerate(_block_standard(super().get_resource_reader)(name))
+            or self._standard_reader()
+            or super().get_resource_reader(name)
+        )
+
+    def _standard_reader(self):
+        return self._zip_reader() or self._namespace_reader() or self._file_reader()
+
+    def _zip_reader(self):
+        with suppress(AttributeError):
+            return readers.ZipReader(self.spec.loader, self.spec.name)
+
+    def _namespace_reader(self):
+        with suppress(AttributeError, ValueError):
+            return readers.NamespaceReader(self.spec.submodule_search_locations)
+
+    def _file_reader(self):
+        try:
+            path = pathlib.Path(self.spec.origin)
+        except TypeError:
+            return None
+        if path.exists():
+            return readers.FileReader(SimpleNamespace(path=path))
+
+
+def wrap_spec(package):
+    """
+    Override _adapters.wrap_spec to use TraversableResourcesLoader
+    from above. Ensures that future behavior is always available on older
+    Pythons.
+    """
+    return _adapters.SpecLoaderAdapter(package.__spec__, TraversableResourcesLoader)
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diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/_path.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/_path.py
new file mode 100644
index 0000000000000000000000000000000000000000..0033983dc6628682481023ce3e15b64171423ba8
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/_path.py
@@ -0,0 +1,90 @@
+import functools
+import pathlib
+from typing import Dict, Protocol, Union, runtime_checkable
+
+####
+# from jaraco.path 3.7.1
+
+
+class Symlink(str):
+    """
+    A string indicating the target of a symlink.
+    """
+
+
+FilesSpec = Dict[str, Union[str, bytes, Symlink, 'FilesSpec']]
+
+
+@runtime_checkable
+class TreeMaker(Protocol):
+    def __truediv__(self, *args, **kwargs): ...  # pragma: no cover
+
+    def mkdir(self, **kwargs): ...  # pragma: no cover
+
+    def write_text(self, content, **kwargs): ...  # pragma: no cover
+
+    def write_bytes(self, content): ...  # pragma: no cover
+
+    def symlink_to(self, target): ...  # pragma: no cover
+
+
+def _ensure_tree_maker(obj: Union[str, TreeMaker]) -> TreeMaker:
+    return obj if isinstance(obj, TreeMaker) else pathlib.Path(obj)  # type: ignore[return-value]
+
+
+def build(
+    spec: FilesSpec,
+    prefix: Union[str, TreeMaker] = pathlib.Path(),  # type: ignore[assignment]
+):
+    """
+    Build a set of files/directories, as described by the spec.
+
+    Each key represents a pathname, and the value represents
+    the content. Content may be a nested directory.
+
+    >>> spec = {
+    ...     'README.txt': "A README file",
+    ...     "foo": {
+    ...         "__init__.py": "",
+    ...         "bar": {
+    ...             "__init__.py": "",
+    ...         },
+    ...         "baz.py": "# Some code",
+    ...         "bar.py": Symlink("baz.py"),
+    ...     },
+    ...     "bing": Symlink("foo"),
+    ... }
+    >>> target = getfixture('tmp_path')
+    >>> build(spec, target)
+    >>> target.joinpath('foo/baz.py').read_text(encoding='utf-8')
+    '# Some code'
+    >>> target.joinpath('bing/bar.py').read_text(encoding='utf-8')
+    '# Some code'
+    """
+    for name, contents in spec.items():
+        create(contents, _ensure_tree_maker(prefix) / name)
+
+
+@functools.singledispatch
+def create(content: Union[str, bytes, FilesSpec], path):
+    path.mkdir(exist_ok=True)
+    build(content, prefix=path)  # type: ignore[arg-type]
+
+
+@create.register
+def _(content: bytes, path):
+    path.write_bytes(content)
+
+
+@create.register
+def _(content: str, path):
+    path.write_text(content, encoding='utf-8')
+
+
+@create.register
+def _(content: Symlink, path):
+    path.symlink_to(content)
+
+
+# end from jaraco.path
+####
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/compat/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/compat/__init__.py
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diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/compat/py312.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/compat/py312.py
new file mode 100644
index 0000000000000000000000000000000000000000..ea9a58ba2e5c6bfeac1c5b7ae768d8f4197a29a8
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/compat/py312.py
@@ -0,0 +1,18 @@
+import contextlib
+
+from .py39 import import_helper
+
+
+@contextlib.contextmanager
+def isolated_modules():
+    """
+    Save modules on entry and cleanup on exit.
+    """
+    (saved,) = import_helper.modules_setup()
+    try:
+        yield
+    finally:
+        import_helper.modules_cleanup(saved)
+
+
+vars(import_helper).setdefault('isolated_modules', isolated_modules)
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/compat/py39.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/compat/py39.py
new file mode 100644
index 0000000000000000000000000000000000000000..e01d276bd96ef5d823946b84b74d3af2710d26f9
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/compat/py39.py
@@ -0,0 +1,13 @@
+"""
+Backward-compatability shims to support Python 3.9 and earlier.
+"""
+
+from jaraco.test.cpython import from_test_support, try_import
+
+import_helper = try_import('import_helper') or from_test_support(
+    'modules_setup', 'modules_cleanup', 'DirsOnSysPath'
+)
+os_helper = try_import('os_helper') or from_test_support('temp_dir')
+warnings_helper = try_import('warnings_helper') or from_test_support(
+    'ignore_warnings', 'check_warnings'
+)
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_compatibilty_files.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_compatibilty_files.py
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index 0000000000000000000000000000000000000000..e8aac28415883cff131502da954eab8505da6ec6
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_compatibilty_files.py
@@ -0,0 +1,103 @@
+import io
+import unittest
+
+import importlib_resources as resources
+from importlib_resources._adapters import (
+    CompatibilityFiles,
+    wrap_spec,
+)
+
+from . import util
+
+
+class CompatibilityFilesTests(unittest.TestCase):
+    @property
+    def package(self):
+        bytes_data = io.BytesIO(b'Hello, world!')
+        return util.create_package(
+            file=bytes_data,
+            path='some_path',
+            contents=('a', 'b', 'c'),
+        )
+
+    @property
+    def files(self):
+        return resources.files(self.package)
+
+    def test_spec_path_iter(self):
+        self.assertEqual(
+            sorted(path.name for path in self.files.iterdir()),
+            ['a', 'b', 'c'],
+        )
+
+    def test_child_path_iter(self):
+        self.assertEqual(list((self.files / 'a').iterdir()), [])
+
+    def test_orphan_path_iter(self):
+        self.assertEqual(list((self.files / 'a' / 'a').iterdir()), [])
+        self.assertEqual(list((self.files / 'a' / 'a' / 'a').iterdir()), [])
+
+    def test_spec_path_is(self):
+        self.assertFalse(self.files.is_file())
+        self.assertFalse(self.files.is_dir())
+
+    def test_child_path_is(self):
+        self.assertTrue((self.files / 'a').is_file())
+        self.assertFalse((self.files / 'a').is_dir())
+
+    def test_orphan_path_is(self):
+        self.assertFalse((self.files / 'a' / 'a').is_file())
+        self.assertFalse((self.files / 'a' / 'a').is_dir())
+        self.assertFalse((self.files / 'a' / 'a' / 'a').is_file())
+        self.assertFalse((self.files / 'a' / 'a' / 'a').is_dir())
+
+    def test_spec_path_name(self):
+        self.assertEqual(self.files.name, 'testingpackage')
+
+    def test_child_path_name(self):
+        self.assertEqual((self.files / 'a').name, 'a')
+
+    def test_orphan_path_name(self):
+        self.assertEqual((self.files / 'a' / 'b').name, 'b')
+        self.assertEqual((self.files / 'a' / 'b' / 'c').name, 'c')
+
+    def test_spec_path_open(self):
+        self.assertEqual(self.files.read_bytes(), b'Hello, world!')
+        self.assertEqual(self.files.read_text(encoding='utf-8'), 'Hello, world!')
+
+    def test_child_path_open(self):
+        self.assertEqual((self.files / 'a').read_bytes(), b'Hello, world!')
+        self.assertEqual(
+            (self.files / 'a').read_text(encoding='utf-8'), 'Hello, world!'
+        )
+
+    def test_orphan_path_open(self):
+        with self.assertRaises(FileNotFoundError):
+            (self.files / 'a' / 'b').read_bytes()
+        with self.assertRaises(FileNotFoundError):
+            (self.files / 'a' / 'b' / 'c').read_bytes()
+
+    def test_open_invalid_mode(self):
+        with self.assertRaises(ValueError):
+            self.files.open('0')
+
+    def test_orphan_path_invalid(self):
+        with self.assertRaises(ValueError):
+            CompatibilityFiles.OrphanPath()
+
+    def test_wrap_spec(self):
+        spec = wrap_spec(self.package)
+        self.assertIsInstance(spec.loader.get_resource_reader(None), CompatibilityFiles)
+
+
+class CompatibilityFilesNoReaderTests(unittest.TestCase):
+    @property
+    def package(self):
+        return util.create_package_from_loader(None)
+
+    @property
+    def files(self):
+        return resources.files(self.package)
+
+    def test_spec_path_joinpath(self):
+        self.assertIsInstance(self.files / 'a', CompatibilityFiles.OrphanPath)
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_contents.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_contents.py
new file mode 100644
index 0000000000000000000000000000000000000000..dcb872ec05fd05a266ee5a4b69e3ade31fa1cc0d
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_contents.py
@@ -0,0 +1,39 @@
+import unittest
+
+import importlib_resources as resources
+
+from . import util
+
+
+class ContentsTests:
+    expected = {
+        '__init__.py',
+        'binary.file',
+        'subdirectory',
+        'utf-16.file',
+        'utf-8.file',
+    }
+
+    def test_contents(self):
+        contents = {path.name for path in resources.files(self.data).iterdir()}
+        assert self.expected <= contents
+
+
+class ContentsDiskTests(ContentsTests, util.DiskSetup, unittest.TestCase):
+    pass
+
+
+class ContentsZipTests(ContentsTests, util.ZipSetup, unittest.TestCase):
+    pass
+
+
+class ContentsNamespaceTests(ContentsTests, util.DiskSetup, unittest.TestCase):
+    MODULE = 'namespacedata01'
+
+    expected = {
+        # no __init__ because of namespace design
+        'binary.file',
+        'subdirectory',
+        'utf-16.file',
+        'utf-8.file',
+    }
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_custom.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_custom.py
new file mode 100644
index 0000000000000000000000000000000000000000..25ae0e75784d9021aea6d089206fe87b05ee8831
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_custom.py
@@ -0,0 +1,48 @@
+import contextlib
+import pathlib
+import unittest
+
+import importlib_resources as resources
+
+from .. import abc
+from ..abc import ResourceReader, TraversableResources
+from . import util
+from .compat.py39 import os_helper
+
+
+class SimpleLoader:
+    """
+    A simple loader that only implements a resource reader.
+    """
+
+    def __init__(self, reader: ResourceReader):
+        self.reader = reader
+
+    def get_resource_reader(self, package):
+        return self.reader
+
+
+class MagicResources(TraversableResources):
+    """
+    Magically returns the resources at path.
+    """
+
+    def __init__(self, path: pathlib.Path):
+        self.path = path
+
+    def files(self):
+        return self.path
+
+
+class CustomTraversableResourcesTests(unittest.TestCase):
+    def setUp(self):
+        self.fixtures = contextlib.ExitStack()
+        self.addCleanup(self.fixtures.close)
+
+    def test_custom_loader(self):
+        temp_dir = pathlib.Path(self.fixtures.enter_context(os_helper.temp_dir()))
+        loader = SimpleLoader(MagicResources(temp_dir))
+        pkg = util.create_package_from_loader(loader)
+        files = resources.files(pkg)
+        assert isinstance(files, abc.Traversable)
+        assert list(files.iterdir()) == []
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_files.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_files.py
new file mode 100644
index 0000000000000000000000000000000000000000..be20660313029aab66a34800aac12bf65c9c0469
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_files.py
@@ -0,0 +1,194 @@
+import contextlib
+import importlib
+import pathlib
+import py_compile
+import textwrap
+import unittest
+import warnings
+
+import importlib_resources as resources
+
+from ..abc import Traversable
+from . import util
+from .compat.py39 import import_helper, os_helper
+
+
+@contextlib.contextmanager
+def suppress_known_deprecation():
+    with warnings.catch_warnings(record=True) as ctx:
+        warnings.simplefilter('default', category=DeprecationWarning)
+        yield ctx
+
+
+class FilesTests:
+    def test_read_bytes(self):
+        files = resources.files(self.data)
+        actual = files.joinpath('utf-8.file').read_bytes()
+        assert actual == b'Hello, UTF-8 world!\n'
+
+    def test_read_text(self):
+        files = resources.files(self.data)
+        actual = files.joinpath('utf-8.file').read_text(encoding='utf-8')
+        assert actual == 'Hello, UTF-8 world!\n'
+
+    def test_traversable(self):
+        assert isinstance(resources.files(self.data), Traversable)
+
+    def test_joinpath_with_multiple_args(self):
+        files = resources.files(self.data)
+        binfile = files.joinpath('subdirectory', 'binary.file')
+        self.assertTrue(binfile.is_file())
+
+    def test_old_parameter(self):
+        """
+        Files used to take a 'package' parameter. Make sure anyone
+        passing by name is still supported.
+        """
+        with suppress_known_deprecation():
+            resources.files(package=self.data)
+
+
+class OpenDiskTests(FilesTests, util.DiskSetup, unittest.TestCase):
+    pass
+
+
+class OpenZipTests(FilesTests, util.ZipSetup, unittest.TestCase):
+    pass
+
+
+class OpenNamespaceTests(FilesTests, util.DiskSetup, unittest.TestCase):
+    MODULE = 'namespacedata01'
+
+    def test_non_paths_in_dunder_path(self):
+        """
+        Non-path items in a namespace package's ``__path__`` are ignored.
+
+        As reported in python/importlib_resources#311, some tools
+        like Setuptools, when creating editable packages, will inject
+        non-paths into a namespace package's ``__path__``, a
+        sentinel like
+        ``__editable__.sample_namespace-1.0.finder.__path_hook__``
+        to cause the ``PathEntryFinder`` to be called when searching
+        for packages. In that case, resources should still be loadable.
+        """
+        import namespacedata01  # type: ignore[import-not-found]
+
+        namespacedata01.__path__.append(
+            '__editable__.sample_namespace-1.0.finder.__path_hook__'
+        )
+
+        resources.files(namespacedata01)
+
+
+class OpenNamespaceZipTests(FilesTests, util.ZipSetup, unittest.TestCase):
+    ZIP_MODULE = 'namespacedata01'
+
+
+class DirectSpec:
+    """
+    Override behavior of ModuleSetup to write a full spec directly.
+    """
+
+    MODULE = 'unused'
+
+    def load_fixture(self, name):
+        self.tree_on_path(self.spec)
+
+
+class ModulesFiles:
+    spec = {
+        'mod.py': '',
+        'res.txt': 'resources are the best',
+    }
+
+    def test_module_resources(self):
+        """
+        A module can have resources found adjacent to the module.
+        """
+        import mod  # type: ignore[import-not-found]
+
+        actual = resources.files(mod).joinpath('res.txt').read_text(encoding='utf-8')
+        assert actual == self.spec['res.txt']
+
+
+class ModuleFilesDiskTests(DirectSpec, util.DiskSetup, ModulesFiles, unittest.TestCase):
+    pass
+
+
+class ModuleFilesZipTests(DirectSpec, util.ZipSetup, ModulesFiles, unittest.TestCase):
+    pass
+
+
+class ImplicitContextFiles:
+    set_val = textwrap.dedent(
+        f"""
+        import {resources.__name__} as res
+        val = res.files().joinpath('res.txt').read_text(encoding='utf-8')
+        """
+    )
+    spec = {
+        'somepkg': {
+            '__init__.py': set_val,
+            'submod.py': set_val,
+            'res.txt': 'resources are the best',
+        },
+        'frozenpkg': {
+            '__init__.py': set_val.replace(resources.__name__, 'c_resources'),
+            'res.txt': 'resources are the best',
+        },
+    }
+
+    def test_implicit_files_package(self):
+        """
+        Without any parameter, files() will infer the location as the caller.
+        """
+        assert importlib.import_module('somepkg').val == 'resources are the best'
+
+    def test_implicit_files_submodule(self):
+        """
+        Without any parameter, files() will infer the location as the caller.
+        """
+        assert importlib.import_module('somepkg.submod').val == 'resources are the best'
+
+    def _compile_importlib(self):
+        """
+        Make a compiled-only copy of the importlib resources package.
+
+        Currently only code is copied, as importlib resources doesn't itself
+        have any resources.
+        """
+        bin_site = self.fixtures.enter_context(os_helper.temp_dir())
+        c_resources = pathlib.Path(bin_site, 'c_resources')
+        sources = pathlib.Path(resources.__file__).parent
+
+        for source_path in sources.glob('**/*.py'):
+            c_path = c_resources.joinpath(source_path.relative_to(sources)).with_suffix(
+                '.pyc'
+            )
+            py_compile.compile(source_path, c_path)
+        self.fixtures.enter_context(import_helper.DirsOnSysPath(bin_site))
+
+    def test_implicit_files_with_compiled_importlib(self):
+        """
+        Caller detection works for compiled-only resources module.
+
+        python/cpython#123085
+        """
+        self._compile_importlib()
+        assert importlib.import_module('frozenpkg').val == 'resources are the best'
+
+
+class ImplicitContextFilesDiskTests(
+    DirectSpec, util.DiskSetup, ImplicitContextFiles, unittest.TestCase
+):
+    pass
+
+
+class ImplicitContextFilesZipTests(
+    DirectSpec, util.ZipSetup, ImplicitContextFiles, unittest.TestCase
+):
+    pass
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_functional.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_functional.py
new file mode 100644
index 0000000000000000000000000000000000000000..9eb2d8153fc78ef208f98209651fd78e77187d80
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_functional.py
@@ -0,0 +1,267 @@
+import importlib
+import os
+import unittest
+
+import importlib_resources as resources
+
+from . import util
+from .compat.py39 import warnings_helper
+
+
+class StringAnchorMixin:
+    anchor01 = 'data01'
+    anchor02 = 'data02'
+
+
+class ModuleAnchorMixin:
+    @property
+    def anchor01(self):
+        return importlib.import_module('data01')
+
+    @property
+    def anchor02(self):
+        return importlib.import_module('data02')
+
+
+class FunctionalAPIBase:
+    def setUp(self):
+        super().setUp()
+        self.load_fixture('data02')
+
+    def _gen_resourcetxt_path_parts(self):
+        """Yield various names of a text file in anchor02, each in a subTest"""
+        for path_parts in (
+            ('subdirectory', 'subsubdir', 'resource.txt'),
+            ('subdirectory/subsubdir/resource.txt',),
+            ('subdirectory/subsubdir', 'resource.txt'),
+        ):
+            with self.subTest(path_parts=path_parts):
+                yield path_parts
+
+    def assertEndsWith(self, string, suffix):
+        """Assert that `string` ends with `suffix`.
+
+        Used to ignore an architecture-specific UTF-16 byte-order mark."""
+        self.assertEqual(string[-len(suffix) :], suffix)
+
+    def test_read_text(self):
+        self.assertEqual(
+            resources.read_text(self.anchor01, 'utf-8.file'),
+            'Hello, UTF-8 world!\n',
+        )
+        self.assertEqual(
+            resources.read_text(
+                self.anchor02,
+                'subdirectory',
+                'subsubdir',
+                'resource.txt',
+                encoding='utf-8',
+            ),
+            'a resource',
+        )
+        for path_parts in self._gen_resourcetxt_path_parts():
+            self.assertEqual(
+                resources.read_text(
+                    self.anchor02,
+                    *path_parts,
+                    encoding='utf-8',
+                ),
+                'a resource',
+            )
+        # Use generic OSError, since e.g. attempting to read a directory can
+        # fail with PermissionError rather than IsADirectoryError
+        with self.assertRaises(OSError):
+            resources.read_text(self.anchor01)
+        with self.assertRaises((OSError, resources.abc.TraversalError)):
+            resources.read_text(self.anchor01, 'no-such-file')
+        with self.assertRaises(UnicodeDecodeError):
+            resources.read_text(self.anchor01, 'utf-16.file')
+        self.assertEqual(
+            resources.read_text(
+                self.anchor01,
+                'binary.file',
+                encoding='latin1',
+            ),
+            '\x00\x01\x02\x03',
+        )
+        self.assertEndsWith(  # ignore the BOM
+            resources.read_text(
+                self.anchor01,
+                'utf-16.file',
+                errors='backslashreplace',
+            ),
+            'Hello, UTF-16 world!\n'.encode('utf-16-le').decode(
+                errors='backslashreplace',
+            ),
+        )
+
+    def test_read_binary(self):
+        self.assertEqual(
+            resources.read_binary(self.anchor01, 'utf-8.file'),
+            b'Hello, UTF-8 world!\n',
+        )
+        for path_parts in self._gen_resourcetxt_path_parts():
+            self.assertEqual(
+                resources.read_binary(self.anchor02, *path_parts),
+                b'a resource',
+            )
+
+    def test_open_text(self):
+        with resources.open_text(self.anchor01, 'utf-8.file') as f:
+            self.assertEqual(f.read(), 'Hello, UTF-8 world!\n')
+        for path_parts in self._gen_resourcetxt_path_parts():
+            with resources.open_text(
+                self.anchor02,
+                *path_parts,
+                encoding='utf-8',
+            ) as f:
+                self.assertEqual(f.read(), 'a resource')
+        # Use generic OSError, since e.g. attempting to read a directory can
+        # fail with PermissionError rather than IsADirectoryError
+        with self.assertRaises(OSError):
+            resources.open_text(self.anchor01)
+        with self.assertRaises((OSError, resources.abc.TraversalError)):
+            resources.open_text(self.anchor01, 'no-such-file')
+        with resources.open_text(self.anchor01, 'utf-16.file') as f:
+            with self.assertRaises(UnicodeDecodeError):
+                f.read()
+        with resources.open_text(
+            self.anchor01,
+            'binary.file',
+            encoding='latin1',
+        ) as f:
+            self.assertEqual(f.read(), '\x00\x01\x02\x03')
+        with resources.open_text(
+            self.anchor01,
+            'utf-16.file',
+            errors='backslashreplace',
+        ) as f:
+            self.assertEndsWith(  # ignore the BOM
+                f.read(),
+                'Hello, UTF-16 world!\n'.encode('utf-16-le').decode(
+                    errors='backslashreplace',
+                ),
+            )
+
+    def test_open_binary(self):
+        with resources.open_binary(self.anchor01, 'utf-8.file') as f:
+            self.assertEqual(f.read(), b'Hello, UTF-8 world!\n')
+        for path_parts in self._gen_resourcetxt_path_parts():
+            with resources.open_binary(
+                self.anchor02,
+                *path_parts,
+            ) as f:
+                self.assertEqual(f.read(), b'a resource')
+
+    def test_path(self):
+        with resources.path(self.anchor01, 'utf-8.file') as path:
+            with open(str(path), encoding='utf-8') as f:
+                self.assertEqual(f.read(), 'Hello, UTF-8 world!\n')
+        with resources.path(self.anchor01) as path:
+            with open(os.path.join(path, 'utf-8.file'), encoding='utf-8') as f:
+                self.assertEqual(f.read(), 'Hello, UTF-8 world!\n')
+
+    def test_is_resource(self):
+        is_resource = resources.is_resource
+        self.assertTrue(is_resource(self.anchor01, 'utf-8.file'))
+        self.assertFalse(is_resource(self.anchor01, 'no_such_file'))
+        self.assertFalse(is_resource(self.anchor01))
+        self.assertFalse(is_resource(self.anchor01, 'subdirectory'))
+        for path_parts in self._gen_resourcetxt_path_parts():
+            self.assertTrue(is_resource(self.anchor02, *path_parts))
+
+    def test_contents(self):
+        with warnings_helper.check_warnings((".*contents.*", DeprecationWarning)):
+            c = resources.contents(self.anchor01)
+        self.assertGreaterEqual(
+            set(c),
+            {'utf-8.file', 'utf-16.file', 'binary.file', 'subdirectory'},
+        )
+        with (
+            self.assertRaises(OSError),
+            warnings_helper.check_warnings((
+                ".*contents.*",
+                DeprecationWarning,
+            )),
+        ):
+            list(resources.contents(self.anchor01, 'utf-8.file'))
+
+        for path_parts in self._gen_resourcetxt_path_parts():
+            with (
+                self.assertRaises((OSError, resources.abc.TraversalError)),
+                warnings_helper.check_warnings((
+                    ".*contents.*",
+                    DeprecationWarning,
+                )),
+            ):
+                list(resources.contents(self.anchor01, *path_parts))
+        with warnings_helper.check_warnings((".*contents.*", DeprecationWarning)):
+            c = resources.contents(self.anchor01, 'subdirectory')
+        self.assertGreaterEqual(
+            set(c),
+            {'binary.file'},
+        )
+
+    @warnings_helper.ignore_warnings(category=DeprecationWarning)
+    def test_common_errors(self):
+        for func in (
+            resources.read_text,
+            resources.read_binary,
+            resources.open_text,
+            resources.open_binary,
+            resources.path,
+            resources.is_resource,
+            resources.contents,
+        ):
+            with self.subTest(func=func):
+                # Rejecting None anchor
+                with self.assertRaises(TypeError):
+                    func(None)
+                # Rejecting invalid anchor type
+                with self.assertRaises((TypeError, AttributeError)):
+                    func(1234)
+                # Unknown module
+                with self.assertRaises(ModuleNotFoundError):
+                    func('$missing module$')
+
+    def test_text_errors(self):
+        for func in (
+            resources.read_text,
+            resources.open_text,
+        ):
+            with self.subTest(func=func):
+                # Multiple path arguments need explicit encoding argument.
+                with self.assertRaises(TypeError):
+                    func(
+                        self.anchor02,
+                        'subdirectory',
+                        'subsubdir',
+                        'resource.txt',
+                    )
+
+
+class FunctionalAPITest_StringAnchor_Disk(
+    StringAnchorMixin,
+    FunctionalAPIBase,
+    util.DiskSetup,
+    unittest.TestCase,
+):
+    pass
+
+
+class FunctionalAPITest_ModuleAnchor_Disk(
+    ModuleAnchorMixin,
+    FunctionalAPIBase,
+    util.DiskSetup,
+    unittest.TestCase,
+):
+    pass
+
+
+class FunctionalAPITest_StringAnchor_Memory(
+    StringAnchorMixin,
+    FunctionalAPIBase,
+    util.MemorySetup,
+    unittest.TestCase,
+):
+    pass
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_open.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_open.py
new file mode 100644
index 0000000000000000000000000000000000000000..8a4b68e32ccb265c2dbcf6fae937b038d0037c17
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_open.py
@@ -0,0 +1,85 @@
+import unittest
+
+import importlib_resources as resources
+
+from . import util
+
+
+class CommonBinaryTests(util.CommonTests, unittest.TestCase):
+    def execute(self, package, path):
+        target = resources.files(package).joinpath(path)
+        with target.open('rb'):
+            pass
+
+
+class CommonTextTests(util.CommonTests, unittest.TestCase):
+    def execute(self, package, path):
+        target = resources.files(package).joinpath(path)
+        with target.open(encoding='utf-8'):
+            pass
+
+
+class OpenTests:
+    def test_open_binary(self):
+        target = resources.files(self.data) / 'binary.file'
+        with target.open('rb') as fp:
+            result = fp.read()
+            self.assertEqual(result, bytes(range(4)))
+
+    def test_open_text_default_encoding(self):
+        target = resources.files(self.data) / 'utf-8.file'
+        with target.open(encoding='utf-8') as fp:
+            result = fp.read()
+            self.assertEqual(result, 'Hello, UTF-8 world!\n')
+
+    def test_open_text_given_encoding(self):
+        target = resources.files(self.data) / 'utf-16.file'
+        with target.open(encoding='utf-16', errors='strict') as fp:
+            result = fp.read()
+        self.assertEqual(result, 'Hello, UTF-16 world!\n')
+
+    def test_open_text_with_errors(self):
+        """
+        Raises UnicodeError without the 'errors' argument.
+        """
+        target = resources.files(self.data) / 'utf-16.file'
+        with target.open(encoding='utf-8', errors='strict') as fp:
+            self.assertRaises(UnicodeError, fp.read)
+        with target.open(encoding='utf-8', errors='ignore') as fp:
+            result = fp.read()
+        self.assertEqual(
+            result,
+            'H\x00e\x00l\x00l\x00o\x00,\x00 '
+            '\x00U\x00T\x00F\x00-\x001\x006\x00 '
+            '\x00w\x00o\x00r\x00l\x00d\x00!\x00\n\x00',
+        )
+
+    def test_open_binary_FileNotFoundError(self):
+        target = resources.files(self.data) / 'does-not-exist'
+        with self.assertRaises(FileNotFoundError):
+            target.open('rb')
+
+    def test_open_text_FileNotFoundError(self):
+        target = resources.files(self.data) / 'does-not-exist'
+        with self.assertRaises(FileNotFoundError):
+            target.open(encoding='utf-8')
+
+
+class OpenDiskTests(OpenTests, util.DiskSetup, unittest.TestCase):
+    pass
+
+
+class OpenDiskNamespaceTests(OpenTests, util.DiskSetup, unittest.TestCase):
+    MODULE = 'namespacedata01'
+
+
+class OpenZipTests(OpenTests, util.ZipSetup, unittest.TestCase):
+    pass
+
+
+class OpenNamespaceZipTests(OpenTests, util.ZipSetup, unittest.TestCase):
+    MODULE = 'namespacedata01'
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_path.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_path.py
new file mode 100644
index 0000000000000000000000000000000000000000..0be673d2b1f1b34be9ffa1e19fbdaa31d2a31b5b
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_path.py
@@ -0,0 +1,63 @@
+import io
+import pathlib
+import unittest
+
+import importlib_resources as resources
+
+from . import util
+
+
+class CommonTests(util.CommonTests, unittest.TestCase):
+    def execute(self, package, path):
+        with resources.as_file(resources.files(package).joinpath(path)):
+            pass
+
+
+class PathTests:
+    def test_reading(self):
+        """
+        Path should be readable and a pathlib.Path instance.
+        """
+        target = resources.files(self.data) / 'utf-8.file'
+        with resources.as_file(target) as path:
+            self.assertIsInstance(path, pathlib.Path)
+            self.assertTrue(path.name.endswith("utf-8.file"), repr(path))
+            self.assertEqual('Hello, UTF-8 world!\n', path.read_text(encoding='utf-8'))
+
+
+class PathDiskTests(PathTests, util.DiskSetup, unittest.TestCase):
+    def test_natural_path(self):
+        """
+        Guarantee the internal implementation detail that
+        file-system-backed resources do not get the tempdir
+        treatment.
+        """
+        target = resources.files(self.data) / 'utf-8.file'
+        with resources.as_file(target) as path:
+            assert 'data' in str(path)
+
+
+class PathMemoryTests(PathTests, unittest.TestCase):
+    def setUp(self):
+        file = io.BytesIO(b'Hello, UTF-8 world!\n')
+        self.addCleanup(file.close)
+        self.data = util.create_package(
+            file=file, path=FileNotFoundError("package exists only in memory")
+        )
+        self.data.__spec__.origin = None
+        self.data.__spec__.has_location = False
+
+
+class PathZipTests(PathTests, util.ZipSetup, unittest.TestCase):
+    def test_remove_in_context_manager(self):
+        """
+        It is not an error if the file that was temporarily stashed on the
+        file system is removed inside the `with` stanza.
+        """
+        target = resources.files(self.data) / 'utf-8.file'
+        with resources.as_file(target) as path:
+            path.unlink()
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_read.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_read.py
new file mode 100644
index 0000000000000000000000000000000000000000..216c8feb1476075556bcd1986f20aa35123417b5
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_read.py
@@ -0,0 +1,94 @@
+import unittest
+from importlib import import_module
+
+import importlib_resources as resources
+
+from . import util
+
+
+class CommonBinaryTests(util.CommonTests, unittest.TestCase):
+    def execute(self, package, path):
+        resources.files(package).joinpath(path).read_bytes()
+
+
+class CommonTextTests(util.CommonTests, unittest.TestCase):
+    def execute(self, package, path):
+        resources.files(package).joinpath(path).read_text(encoding='utf-8')
+
+
+class ReadTests:
+    def test_read_bytes(self):
+        result = resources.files(self.data).joinpath('binary.file').read_bytes()
+        self.assertEqual(result, bytes(range(4)))
+
+    def test_read_text_default_encoding(self):
+        result = (
+            resources.files(self.data)
+            .joinpath('utf-8.file')
+            .read_text(encoding='utf-8')
+        )
+        self.assertEqual(result, 'Hello, UTF-8 world!\n')
+
+    def test_read_text_given_encoding(self):
+        result = (
+            resources.files(self.data)
+            .joinpath('utf-16.file')
+            .read_text(encoding='utf-16')
+        )
+        self.assertEqual(result, 'Hello, UTF-16 world!\n')
+
+    def test_read_text_with_errors(self):
+        """
+        Raises UnicodeError without the 'errors' argument.
+        """
+        target = resources.files(self.data) / 'utf-16.file'
+        self.assertRaises(UnicodeError, target.read_text, encoding='utf-8')
+        result = target.read_text(encoding='utf-8', errors='ignore')
+        self.assertEqual(
+            result,
+            'H\x00e\x00l\x00l\x00o\x00,\x00 '
+            '\x00U\x00T\x00F\x00-\x001\x006\x00 '
+            '\x00w\x00o\x00r\x00l\x00d\x00!\x00\n\x00',
+        )
+
+
+class ReadDiskTests(ReadTests, util.DiskSetup, unittest.TestCase):
+    pass
+
+
+class ReadZipTests(ReadTests, util.ZipSetup, unittest.TestCase):
+    def test_read_submodule_resource(self):
+        submodule = import_module('data01.subdirectory')
+        result = resources.files(submodule).joinpath('binary.file').read_bytes()
+        self.assertEqual(result, bytes(range(4, 8)))
+
+    def test_read_submodule_resource_by_name(self):
+        result = (
+            resources.files('data01.subdirectory').joinpath('binary.file').read_bytes()
+        )
+        self.assertEqual(result, bytes(range(4, 8)))
+
+
+class ReadNamespaceTests(ReadTests, util.DiskSetup, unittest.TestCase):
+    MODULE = 'namespacedata01'
+
+
+class ReadNamespaceZipTests(ReadTests, util.ZipSetup, unittest.TestCase):
+    MODULE = 'namespacedata01'
+
+    def test_read_submodule_resource(self):
+        submodule = import_module('namespacedata01.subdirectory')
+        result = resources.files(submodule).joinpath('binary.file').read_bytes()
+        self.assertEqual(result, bytes(range(12, 16)))
+
+    def test_read_submodule_resource_by_name(self):
+        result = (
+            resources.files('namespacedata01.subdirectory')
+            .joinpath('binary.file')
+            .read_bytes()
+        )
+        self.assertEqual(result, bytes(range(12, 16)))
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_reader.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_reader.py
new file mode 100644
index 0000000000000000000000000000000000000000..f8cfd8dea0618d62de74ed380731788192d68552
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_reader.py
@@ -0,0 +1,137 @@
+import os.path
+import pathlib
+import unittest
+from importlib import import_module
+
+from importlib_resources.readers import MultiplexedPath, NamespaceReader
+
+from . import util
+
+
+class MultiplexedPathTest(util.DiskSetup, unittest.TestCase):
+    MODULE = 'namespacedata01'
+
+    def setUp(self):
+        super().setUp()
+        self.folder = pathlib.Path(self.data.__path__[0])
+        self.data01 = pathlib.Path(self.load_fixture('data01').__file__).parent
+        self.data02 = pathlib.Path(self.load_fixture('data02').__file__).parent
+
+    def test_init_no_paths(self):
+        with self.assertRaises(FileNotFoundError):
+            MultiplexedPath()
+
+    def test_init_file(self):
+        with self.assertRaises(NotADirectoryError):
+            MultiplexedPath(self.folder / 'binary.file')
+
+    def test_iterdir(self):
+        contents = {path.name for path in MultiplexedPath(self.folder).iterdir()}
+        try:
+            contents.remove('__pycache__')
+        except (KeyError, ValueError):
+            pass
+        self.assertEqual(
+            contents, {'subdirectory', 'binary.file', 'utf-16.file', 'utf-8.file'}
+        )
+
+    def test_iterdir_duplicate(self):
+        contents = {
+            path.name for path in MultiplexedPath(self.folder, self.data01).iterdir()
+        }
+        for remove in ('__pycache__', '__init__.pyc'):
+            try:
+                contents.remove(remove)
+            except (KeyError, ValueError):
+                pass
+        self.assertEqual(
+            contents,
+            {'__init__.py', 'binary.file', 'subdirectory', 'utf-16.file', 'utf-8.file'},
+        )
+
+    def test_is_dir(self):
+        self.assertEqual(MultiplexedPath(self.folder).is_dir(), True)
+
+    def test_is_file(self):
+        self.assertEqual(MultiplexedPath(self.folder).is_file(), False)
+
+    def test_open_file(self):
+        path = MultiplexedPath(self.folder)
+        with self.assertRaises(FileNotFoundError):
+            path.read_bytes()
+        with self.assertRaises(FileNotFoundError):
+            path.read_text()
+        with self.assertRaises(FileNotFoundError):
+            path.open()
+
+    def test_join_path(self):
+        prefix = str(self.folder.parent)
+        path = MultiplexedPath(self.folder, self.data01)
+        self.assertEqual(
+            str(path.joinpath('binary.file'))[len(prefix) + 1 :],
+            os.path.join('namespacedata01', 'binary.file'),
+        )
+        sub = path.joinpath('subdirectory')
+        assert isinstance(sub, MultiplexedPath)
+        assert 'namespacedata01' in str(sub)
+        assert 'data01' in str(sub)
+        self.assertEqual(
+            str(path.joinpath('imaginary'))[len(prefix) + 1 :],
+            os.path.join('namespacedata01', 'imaginary'),
+        )
+        self.assertEqual(path.joinpath(), path)
+
+    def test_join_path_compound(self):
+        path = MultiplexedPath(self.folder)
+        assert not path.joinpath('imaginary/foo.py').exists()
+
+    def test_join_path_common_subdir(self):
+        prefix = str(self.data02.parent)
+        path = MultiplexedPath(self.data01, self.data02)
+        self.assertIsInstance(path.joinpath('subdirectory'), MultiplexedPath)
+        self.assertEqual(
+            str(path.joinpath('subdirectory', 'subsubdir'))[len(prefix) + 1 :],
+            os.path.join('data02', 'subdirectory', 'subsubdir'),
+        )
+
+    def test_repr(self):
+        self.assertEqual(
+            repr(MultiplexedPath(self.folder)),
+            f"MultiplexedPath('{self.folder}')",
+        )
+
+    def test_name(self):
+        self.assertEqual(
+            MultiplexedPath(self.folder).name,
+            os.path.basename(self.folder),
+        )
+
+
+class NamespaceReaderTest(util.DiskSetup, unittest.TestCase):
+    MODULE = 'namespacedata01'
+
+    def test_init_error(self):
+        with self.assertRaises(ValueError):
+            NamespaceReader(['path1', 'path2'])
+
+    def test_resource_path(self):
+        namespacedata01 = import_module('namespacedata01')
+        reader = NamespaceReader(namespacedata01.__spec__.submodule_search_locations)
+
+        root = self.data.__path__[0]
+        self.assertEqual(
+            reader.resource_path('binary.file'), os.path.join(root, 'binary.file')
+        )
+        self.assertEqual(
+            reader.resource_path('imaginary'), os.path.join(root, 'imaginary')
+        )
+
+    def test_files(self):
+        reader = NamespaceReader(self.data.__spec__.submodule_search_locations)
+        root = self.data.__path__[0]
+        self.assertIsInstance(reader.files(), MultiplexedPath)
+        self.assertEqual(repr(reader.files()), f"MultiplexedPath('{root}')")
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_resource.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_resource.py
new file mode 100644
index 0000000000000000000000000000000000000000..c80afdc729ec90ac8c3c47aa594533ed8897342f
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_resource.py
@@ -0,0 +1,238 @@
+import unittest
+from importlib import import_module
+
+import importlib_resources as resources
+
+from . import util
+
+
+class ResourceTests:
+    # Subclasses are expected to set the `data` attribute.
+
+    def test_is_file_exists(self):
+        target = resources.files(self.data) / 'binary.file'
+        self.assertTrue(target.is_file())
+
+    def test_is_file_missing(self):
+        target = resources.files(self.data) / 'not-a-file'
+        self.assertFalse(target.is_file())
+
+    def test_is_dir(self):
+        target = resources.files(self.data) / 'subdirectory'
+        self.assertFalse(target.is_file())
+        self.assertTrue(target.is_dir())
+
+
+class ResourceDiskTests(ResourceTests, util.DiskSetup, unittest.TestCase):
+    pass
+
+
+class ResourceZipTests(ResourceTests, util.ZipSetup, unittest.TestCase):
+    pass
+
+
+def names(traversable):
+    return {item.name for item in traversable.iterdir()}
+
+
+class ResourceLoaderTests(util.DiskSetup, unittest.TestCase):
+    def test_resource_contents(self):
+        package = util.create_package(
+            file=self.data, path=self.data.__file__, contents=['A', 'B', 'C']
+        )
+        self.assertEqual(names(resources.files(package)), {'A', 'B', 'C'})
+
+    def test_is_file(self):
+        package = util.create_package(
+            file=self.data,
+            path=self.data.__file__,
+            contents=['A', 'B', 'C', 'D/E', 'D/F'],
+        )
+        self.assertTrue(resources.files(package).joinpath('B').is_file())
+
+    def test_is_dir(self):
+        package = util.create_package(
+            file=self.data,
+            path=self.data.__file__,
+            contents=['A', 'B', 'C', 'D/E', 'D/F'],
+        )
+        self.assertTrue(resources.files(package).joinpath('D').is_dir())
+
+    def test_resource_missing(self):
+        package = util.create_package(
+            file=self.data,
+            path=self.data.__file__,
+            contents=['A', 'B', 'C', 'D/E', 'D/F'],
+        )
+        self.assertFalse(resources.files(package).joinpath('Z').is_file())
+
+
+class ResourceCornerCaseTests(util.DiskSetup, unittest.TestCase):
+    def test_package_has_no_reader_fallback(self):
+        """
+        Test odd ball packages which:
+        # 1. Do not have a ResourceReader as a loader
+        # 2. Are not on the file system
+        # 3. Are not in a zip file
+        """
+        module = util.create_package(
+            file=self.data, path=self.data.__file__, contents=['A', 'B', 'C']
+        )
+        # Give the module a dummy loader.
+        module.__loader__ = object()
+        # Give the module a dummy origin.
+        module.__file__ = '/path/which/shall/not/be/named'
+        module.__spec__.loader = module.__loader__
+        module.__spec__.origin = module.__file__
+        self.assertFalse(resources.files(module).joinpath('A').is_file())
+
+
+class ResourceFromZipsTest01(util.ZipSetup, unittest.TestCase):
+    def test_is_submodule_resource(self):
+        submodule = import_module('data01.subdirectory')
+        self.assertTrue(resources.files(submodule).joinpath('binary.file').is_file())
+
+    def test_read_submodule_resource_by_name(self):
+        self.assertTrue(
+            resources.files('data01.subdirectory').joinpath('binary.file').is_file()
+        )
+
+    def test_submodule_contents(self):
+        submodule = import_module('data01.subdirectory')
+        self.assertEqual(
+            names(resources.files(submodule)), {'__init__.py', 'binary.file'}
+        )
+
+    def test_submodule_contents_by_name(self):
+        self.assertEqual(
+            names(resources.files('data01.subdirectory')),
+            {'__init__.py', 'binary.file'},
+        )
+
+    def test_as_file_directory(self):
+        with resources.as_file(resources.files('data01')) as data:
+            assert data.name == 'data01'
+            assert data.is_dir()
+            assert data.joinpath('subdirectory').is_dir()
+            assert len(list(data.iterdir()))
+        assert not data.parent.exists()
+
+
+class ResourceFromZipsTest02(util.ZipSetup, unittest.TestCase):
+    MODULE = 'data02'
+
+    def test_unrelated_contents(self):
+        """
+        Test thata zip with two unrelated subpackages return
+        distinct resources. Ref python/importlib_resources#44.
+        """
+        self.assertEqual(
+            names(resources.files('data02.one')),
+            {'__init__.py', 'resource1.txt'},
+        )
+        self.assertEqual(
+            names(resources.files('data02.two')),
+            {'__init__.py', 'resource2.txt'},
+        )
+
+
+class DeletingZipsTest(util.ZipSetup, unittest.TestCase):
+    """Having accessed resources in a zip file should not keep an open
+    reference to the zip.
+    """
+
+    def test_iterdir_does_not_keep_open(self):
+        [item.name for item in resources.files('data01').iterdir()]
+
+    def test_is_file_does_not_keep_open(self):
+        resources.files('data01').joinpath('binary.file').is_file()
+
+    def test_is_file_failure_does_not_keep_open(self):
+        resources.files('data01').joinpath('not-present').is_file()
+
+    @unittest.skip("Desired but not supported.")
+    def test_as_file_does_not_keep_open(self):  # pragma: no cover
+        resources.as_file(resources.files('data01') / 'binary.file')
+
+    def test_entered_path_does_not_keep_open(self):
+        """
+        Mimic what certifi does on import to make its bundle
+        available for the process duration.
+        """
+        resources.as_file(resources.files('data01') / 'binary.file').__enter__()
+
+    def test_read_binary_does_not_keep_open(self):
+        resources.files('data01').joinpath('binary.file').read_bytes()
+
+    def test_read_text_does_not_keep_open(self):
+        resources.files('data01').joinpath('utf-8.file').read_text(encoding='utf-8')
+
+
+class ResourceFromNamespaceTests:
+    def test_is_submodule_resource(self):
+        self.assertTrue(
+            resources.files(import_module('namespacedata01'))
+            .joinpath('binary.file')
+            .is_file()
+        )
+
+    def test_read_submodule_resource_by_name(self):
+        self.assertTrue(
+            resources.files('namespacedata01').joinpath('binary.file').is_file()
+        )
+
+    def test_submodule_contents(self):
+        contents = names(resources.files(import_module('namespacedata01')))
+        try:
+            contents.remove('__pycache__')
+        except KeyError:
+            pass
+        self.assertEqual(
+            contents, {'subdirectory', 'binary.file', 'utf-8.file', 'utf-16.file'}
+        )
+
+    def test_submodule_contents_by_name(self):
+        contents = names(resources.files('namespacedata01'))
+        try:
+            contents.remove('__pycache__')
+        except KeyError:
+            pass
+        self.assertEqual(
+            contents, {'subdirectory', 'binary.file', 'utf-8.file', 'utf-16.file'}
+        )
+
+    def test_submodule_sub_contents(self):
+        contents = names(resources.files(import_module('namespacedata01.subdirectory')))
+        try:
+            contents.remove('__pycache__')
+        except KeyError:
+            pass
+        self.assertEqual(contents, {'binary.file'})
+
+    def test_submodule_sub_contents_by_name(self):
+        contents = names(resources.files('namespacedata01.subdirectory'))
+        try:
+            contents.remove('__pycache__')
+        except KeyError:
+            pass
+        self.assertEqual(contents, {'binary.file'})
+
+
+class ResourceFromNamespaceDiskTests(
+    util.DiskSetup,
+    ResourceFromNamespaceTests,
+    unittest.TestCase,
+):
+    MODULE = 'namespacedata01'
+
+
+class ResourceFromNamespaceZipTests(
+    util.ZipSetup,
+    ResourceFromNamespaceTests,
+    unittest.TestCase,
+):
+    MODULE = 'namespacedata01'
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_util.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_util.py
new file mode 100644
index 0000000000000000000000000000000000000000..de304b6f3510a6975f596de99822c1359adc18db
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/test_util.py
@@ -0,0 +1,29 @@
+import unittest
+
+from .util import MemorySetup, Traversable
+
+
+class TestMemoryTraversableImplementation(unittest.TestCase):
+    def test_concrete_methods_are_not_overridden(self):
+        """`MemoryTraversable` must not override `Traversable` concrete methods.
+
+        This test is not an attempt to enforce a particular `Traversable` protocol;
+        it merely catches changes in the `Traversable` abstract/concrete methods
+        that have not been mirrored in the `MemoryTraversable` subclass.
+        """
+
+        traversable_concrete_methods = {
+            method
+            for method, value in Traversable.__dict__.items()
+            if callable(value) and method not in Traversable.__abstractmethods__
+        }
+        memory_traversable_concrete_methods = {
+            method
+            for method, value in MemorySetup.MemoryTraversable.__dict__.items()
+            if callable(value) and not method.startswith("__")
+        }
+        overridden_methods = (
+            memory_traversable_concrete_methods & traversable_concrete_methods
+        )
+
+        assert not overridden_methods
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/util.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/util.py
new file mode 100644
index 0000000000000000000000000000000000000000..0340c150f6996a31dbe9513a3609d6260efd68d8
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/util.py
@@ -0,0 +1,308 @@
+import abc
+import contextlib
+import functools
+import importlib
+import io
+import pathlib
+import sys
+import types
+from importlib.machinery import ModuleSpec
+
+from ..abc import ResourceReader, Traversable, TraversableResources
+from . import _path
+from . import zip as zip_
+from .compat.py39 import import_helper, os_helper
+
+
+class Reader(ResourceReader):
+    def __init__(self, **kwargs):
+        vars(self).update(kwargs)
+
+    def get_resource_reader(self, package):
+        return self
+
+    def open_resource(self, path):
+        self._path = path
+        if isinstance(self.file, Exception):
+            raise self.file
+        return self.file
+
+    def resource_path(self, path_):
+        self._path = path_
+        if isinstance(self.path, Exception):
+            raise self.path
+        return self.path
+
+    def is_resource(self, path_):
+        self._path = path_
+        if isinstance(self.path, Exception):
+            raise self.path
+
+        def part(entry):
+            return entry.split('/')
+
+        return any(
+            len(parts) == 1 and parts[0] == path_ for parts in map(part, self._contents)
+        )
+
+    def contents(self):
+        if isinstance(self.path, Exception):
+            raise self.path
+        yield from self._contents
+
+
+def create_package_from_loader(loader, is_package=True):
+    name = 'testingpackage'
+    module = types.ModuleType(name)
+    spec = ModuleSpec(name, loader, origin='does-not-exist', is_package=is_package)
+    module.__spec__ = spec
+    module.__loader__ = loader
+    return module
+
+
+def create_package(file=None, path=None, is_package=True, contents=()):
+    return create_package_from_loader(
+        Reader(file=file, path=path, _contents=contents),
+        is_package,
+    )
+
+
+class CommonTestsBase(metaclass=abc.ABCMeta):
+    """
+    Tests shared by test_open, test_path, and test_read.
+    """
+
+    @abc.abstractmethod
+    def execute(self, package, path):
+        """
+        Call the pertinent legacy API function (e.g. open_text, path)
+        on package and path.
+        """
+
+    def test_package_name(self):
+        """
+        Passing in the package name should succeed.
+        """
+        self.execute(self.data.__name__, 'utf-8.file')
+
+    def test_package_object(self):
+        """
+        Passing in the package itself should succeed.
+        """
+        self.execute(self.data, 'utf-8.file')
+
+    def test_string_path(self):
+        """
+        Passing in a string for the path should succeed.
+        """
+        path = 'utf-8.file'
+        self.execute(self.data, path)
+
+    def test_pathlib_path(self):
+        """
+        Passing in a pathlib.PurePath object for the path should succeed.
+        """
+        path = pathlib.PurePath('utf-8.file')
+        self.execute(self.data, path)
+
+    def test_importing_module_as_side_effect(self):
+        """
+        The anchor package can already be imported.
+        """
+        del sys.modules[self.data.__name__]
+        self.execute(self.data.__name__, 'utf-8.file')
+
+    def test_missing_path(self):
+        """
+        Attempting to open or read or request the path for a
+        non-existent path should succeed if open_resource
+        can return a viable data stream.
+        """
+        bytes_data = io.BytesIO(b'Hello, world!')
+        package = create_package(file=bytes_data, path=FileNotFoundError())
+        self.execute(package, 'utf-8.file')
+        self.assertEqual(package.__loader__._path, 'utf-8.file')
+
+    def test_extant_path(self):
+        # Attempting to open or read or request the path when the
+        # path does exist should still succeed. Does not assert
+        # anything about the result.
+        bytes_data = io.BytesIO(b'Hello, world!')
+        # any path that exists
+        path = __file__
+        package = create_package(file=bytes_data, path=path)
+        self.execute(package, 'utf-8.file')
+        self.assertEqual(package.__loader__._path, 'utf-8.file')
+
+    def test_useless_loader(self):
+        package = create_package(file=FileNotFoundError(), path=FileNotFoundError())
+        with self.assertRaises(FileNotFoundError):
+            self.execute(package, 'utf-8.file')
+
+
+fixtures = dict(
+    data01={
+        '__init__.py': '',
+        'binary.file': bytes(range(4)),
+        'utf-16.file': '\ufeffHello, UTF-16 world!\n'.encode('utf-16-le'),
+        'utf-8.file': 'Hello, UTF-8 world!\n'.encode('utf-8'),
+        'subdirectory': {
+            '__init__.py': '',
+            'binary.file': bytes(range(4, 8)),
+        },
+    },
+    data02={
+        '__init__.py': '',
+        'one': {'__init__.py': '', 'resource1.txt': 'one resource'},
+        'two': {'__init__.py': '', 'resource2.txt': 'two resource'},
+        'subdirectory': {'subsubdir': {'resource.txt': 'a resource'}},
+    },
+    namespacedata01={
+        'binary.file': bytes(range(4)),
+        'utf-16.file': '\ufeffHello, UTF-16 world!\n'.encode('utf-16-le'),
+        'utf-8.file': 'Hello, UTF-8 world!\n'.encode('utf-8'),
+        'subdirectory': {
+            'binary.file': bytes(range(12, 16)),
+        },
+    },
+)
+
+
+class ModuleSetup:
+    def setUp(self):
+        self.fixtures = contextlib.ExitStack()
+        self.addCleanup(self.fixtures.close)
+
+        self.fixtures.enter_context(import_helper.isolated_modules())
+        self.data = self.load_fixture(self.MODULE)
+
+    def load_fixture(self, module):
+        self.tree_on_path({module: fixtures[module]})
+        return importlib.import_module(module)
+
+
+class ZipSetup(ModuleSetup):
+    MODULE = 'data01'
+
+    def tree_on_path(self, spec):
+        temp_dir = self.fixtures.enter_context(os_helper.temp_dir())
+        modules = pathlib.Path(temp_dir) / 'zipped modules.zip'
+        self.fixtures.enter_context(
+            import_helper.DirsOnSysPath(str(zip_.make_zip_file(spec, modules)))
+        )
+
+
+class DiskSetup(ModuleSetup):
+    MODULE = 'data01'
+
+    def tree_on_path(self, spec):
+        temp_dir = self.fixtures.enter_context(os_helper.temp_dir())
+        _path.build(spec, pathlib.Path(temp_dir))
+        self.fixtures.enter_context(import_helper.DirsOnSysPath(temp_dir))
+
+
+class MemorySetup(ModuleSetup):
+    """Support loading a module in memory."""
+
+    MODULE = 'data01'
+
+    def load_fixture(self, module):
+        self.fixtures.enter_context(self.augment_sys_metapath(module))
+        return importlib.import_module(module)
+
+    @contextlib.contextmanager
+    def augment_sys_metapath(self, module):
+        finder_instance = self.MemoryFinder(module)
+        sys.meta_path.append(finder_instance)
+        yield
+        sys.meta_path.remove(finder_instance)
+
+    class MemoryFinder(importlib.abc.MetaPathFinder):
+        def __init__(self, module):
+            self._module = module
+
+        def find_spec(self, fullname, path, target=None):
+            if fullname != self._module:
+                return None
+
+            return importlib.machinery.ModuleSpec(
+                name=fullname,
+                loader=MemorySetup.MemoryLoader(self._module),
+                is_package=True,
+            )
+
+    class MemoryLoader(importlib.abc.Loader):
+        def __init__(self, module):
+            self._module = module
+
+        def exec_module(self, module):
+            pass
+
+        def get_resource_reader(self, fullname):
+            return MemorySetup.MemoryTraversableResources(self._module, fullname)
+
+    class MemoryTraversableResources(TraversableResources):
+        def __init__(self, module, fullname):
+            self._module = module
+            self._fullname = fullname
+
+        def files(self):
+            return MemorySetup.MemoryTraversable(self._module, self._fullname)
+
+    class MemoryTraversable(Traversable):
+        """Implement only the abstract methods of `Traversable`.
+
+        Besides `.__init__()`, no other methods may be implemented or overridden.
+        This is critical for validating the concrete `Traversable` implementations.
+        """
+
+        def __init__(self, module, fullname):
+            self._module = module
+            self._fullname = fullname
+
+        def _resolve(self):
+            """
+            Fully traverse the `fixtures` dictionary.
+
+            This should be wrapped in a `try/except KeyError`
+            but it is not currently needed and lowers the code coverage numbers.
+            """
+            path = pathlib.PurePosixPath(self._fullname)
+            return functools.reduce(lambda d, p: d[p], path.parts, fixtures)
+
+        def iterdir(self):
+            directory = self._resolve()
+            if not isinstance(directory, dict):
+                # Filesystem openers raise OSError, and that exception is mirrored here.
+                raise OSError(f"{self._fullname} is not a directory")
+            for path in directory:
+                yield MemorySetup.MemoryTraversable(
+                    self._module, f"{self._fullname}/{path}"
+                )
+
+        def is_dir(self) -> bool:
+            return isinstance(self._resolve(), dict)
+
+        def is_file(self) -> bool:
+            return not self.is_dir()
+
+        def open(self, mode='r', encoding=None, errors=None, *_, **__):
+            contents = self._resolve()
+            if isinstance(contents, dict):
+                # Filesystem openers raise OSError when attempting to open a directory,
+                # and that exception is mirrored here.
+                raise OSError(f"{self._fullname} is a directory")
+            if isinstance(contents, str):
+                contents = contents.encode("utf-8")
+            result = io.BytesIO(contents)
+            if "b" in mode:
+                return result
+            return io.TextIOWrapper(result, encoding=encoding, errors=errors)
+
+        @property
+        def name(self):
+            return pathlib.PurePosixPath(self._fullname).name
+
+
+class CommonTests(DiskSetup, CommonTestsBase):
+    pass
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/zip.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/zip.py
new file mode 100644
index 0000000000000000000000000000000000000000..51ee564870c101bd447969c8433148eba597ab26
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/importlib_resources/tests/zip.py
@@ -0,0 +1,26 @@
+"""
+Generate zip test data files.
+"""
+
+import zipfile
+
+import zipp
+
+
+def make_zip_file(tree, dst):
+    """
+    Zip the files in tree into a new zipfile at dst.
+    """
+    with zipfile.ZipFile(dst, 'w') as zf:
+        for name, contents in walk(tree):
+            zf.writestr(name, contents)
+        zipp.CompleteDirs.inject(zf)
+    return dst
+
+
+def walk(tree, prefix=''):
+    for name, contents in tree.items():
+        if isinstance(contents, dict):
+            yield from walk(contents, prefix=f'{prefix}{name}/')
+        else:
+            yield f'{prefix}{name}', contents
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diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/interegular/utils/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/interegular/utils/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..28b6d34680d11ff67f55ed85914b2d71c3fffd89
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/interegular/utils/__init__.py
@@ -0,0 +1,15 @@
+import logging
+from typing import Iterable
+
+logger = logging.getLogger('interegular')
+logger.addHandler(logging.StreamHandler())
+logger.setLevel(logging.CRITICAL)
+
+
+def soft_repr(s: str):
+    """
+    joins together the repr of each char in the string, while throwing away the repr
+    This for example turns `"'\""` into `'"` instead of `\'"` like the normal repr
+    would do.
+    """
+    return ''.join(repr(c)[1:-1] for c in str(s))
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diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/interegular/utils/simple_parser.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/interegular/utils/simple_parser.py
new file mode 100644
index 0000000000000000000000000000000000000000..5f92d75019f47733b04230671507e5e2e2c11d48
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/interegular/utils/simple_parser.py
@@ -0,0 +1,165 @@
+"""
+A small util to simplify the creation of Parsers for simple context-free-grammars.
+
+"""
+
+from abc import ABC, abstractmethod
+from collections import defaultdict
+from functools import wraps
+from types import FunctionType, MethodType
+from typing import Generic, TypeVar, Optional, List
+
+__all__ = ['nomatch', 'NoMatch', 'SimpleParser']
+
+
+class nomatch(BaseException):
+    def __init__(self):
+        pass
+
+
+class NoMatch(ValueError):
+    def __init__(self, data: str, index: int, expected: List[str]):
+        self.data = data
+        self.index = index
+        self.expected = expected
+        super(NoMatch, self).__init__(f"Can not match at index {index}. Got {data[index:index + 5]!r},"
+                                      f" expected any of {expected}.\n"
+                                      f"Context(data[-10:+10]): {data[index - 10: index + 10]!r}")
+
+
+T = TypeVar('T')
+
+
+def _wrap_reset(m):
+    @wraps(m)
+    def w(self, *args, **kwargs):
+        p = self.index
+        try:
+            return m(self, *args, **kwargs)
+        except nomatch:
+            self.index = p
+            raise
+
+    return w
+
+
+class SimpleParser(Generic[T], ABC):
+    def __init__(self, data: str):
+        self.data = data
+        self.index = 0
+        self._expected = defaultdict(list)
+
+    def __init_subclass__(cls, **kwargs):
+        for n, v in cls.__dict__.items():
+            if isinstance(v, FunctionType) and not n.startswith('_'):
+                setattr(cls, n, _wrap_reset(v))
+
+    def parse(self) -> T:
+        try:
+            result = self.start()
+        except nomatch:
+            raise NoMatch(self.data, max(self._expected), self._expected[max(self._expected)]) from None
+        if self.index < len(self.data):
+            raise NoMatch(self.data, max(self._expected), self._expected[max(self._expected)])
+        return result
+
+    @abstractmethod
+    def start(self) -> T:
+        raise NotImplementedError
+
+    def peek_static(self, expected: str) -> bool:
+        l = len(expected)
+        if self.data[self.index:self.index + l] == expected:
+            return True
+        else:
+            self._expected[self.index].append(expected)
+            return False
+
+    def static(self, expected: str):
+        length = len(expected)
+        if self.data[self.index:self.index + length] == expected:
+            self.index += length
+        else:
+            self._expected[self.index].append(expected)
+            raise nomatch
+
+    def static_b(self, expected: str) -> bool:
+        l = len(expected)
+        if self.data[self.index:self.index + l] == expected:
+            self.index += l
+            return True
+        else:
+            self._expected[self.index].append(expected)
+            return False
+
+    def anyof(self, *strings: str) -> str:
+        for s in strings:
+            if self.static_b(s):
+                return s
+        else:
+            raise nomatch
+
+    def anyof_b(self, *strings: str) -> bool:
+        for s in strings:
+            if self.static_b(s):
+                return True
+        else:
+            return False
+
+    def any(self, length: int = 1) -> str:
+        if self.index + length <= len(self.data):
+            res = self.data[self.index:self.index + length]
+            self.index += length
+            return res
+        else:
+            self._expected[self.index].append(f"")
+            raise nomatch
+
+    def any_but(self, *strings, length: int = 1) -> str:
+        if self.index + length <= len(self.data):
+            res = self.data[self.index:self.index + length]
+            if res not in strings:
+                self.index += length
+                return res
+            else:
+                self._expected[self.index].append(f"")
+                raise nomatch
+        else:
+            self._expected[self.index].append(f"")
+            raise nomatch
+
+    def multiple(self, chars: str, mi: int, ma: Optional[int]) -> str:
+        result = []
+        try:
+            for off in range(mi):
+                if self.data[self.index + off] in chars:
+                    result.append(self.data[self.index + off])
+                else:
+                    self._expected[self.index + off].extend(chars)
+                    raise nomatch
+        except IndexError:
+            raise nomatch
+        self.index += mi
+        if ma is None:
+            try:
+                while True:
+                    if self.data[self.index] in chars:
+                        result.append(self.data[self.index])
+                        self.index += 1
+                    else:
+                        self._expected[self.index].extend(chars)
+                        break
+            except IndexError:
+                pass
+        else:
+            try:
+                for _ in range(ma - mi):
+                    if self.data[self.index] in chars:
+                        result.append(self.data[self.index])
+                        self.index += 1
+                    else:
+                        self._expected[self.index].extend(chars)
+                        break
+            except IndexError:
+                pass
+        return ''.join(result)
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diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/completion/bash.completion b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/completion/bash.completion
new file mode 100644
index 0000000000000000000000000000000000000000..55f7c397ca940923c3603037278f9e15d9665f08
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/completion/bash.completion
@@ -0,0 +1,32 @@
+# Invoke tab-completion script to be sourced with Bash shell.
+# Known to work on Bash 3.x, untested on 4.x.
+
+_complete_{binary}() {{
+    local candidates
+
+    # COMP_WORDS contains the entire command string up til now (including
+    # program name).
+    # We hand it to Invoke so it can figure out the current context: spit back
+    # core options, task names, the current task's options, or some combo.
+    candidates=`{binary} --complete -- ${{COMP_WORDS[*]}}`
+
+    # `compgen -W` takes list of valid options & a partial word & spits back
+    # possible matches. Necessary for any partial word completions (vs
+    # completions performed when no partial words are present).
+    #
+    # $2 is the current word or token being tabbed on, either empty string or a
+    # partial word, and thus wants to be compgen'd to arrive at some subset of
+    # our candidate list which actually matches.
+    #
+    # COMPREPLY is the list of valid completions handed back to `complete`.
+    COMPREPLY=( $(compgen -W "${{candidates}}" -- $2) )
+}}
+
+
+# Tell shell builtin to use the above for completing our invocations.
+# * -F: use given function name to generate completions.
+# * -o default: when function generates no results, use filenames.
+# * positional args: program names to complete for.
+complete -F _complete_{binary} -o default {spaced_names}
+
+# vim: set ft=sh :
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/completion/complete.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/completion/complete.py
new file mode 100644
index 0000000000000000000000000000000000000000..97e9a959eeb25f549e2d74d9f7d2dec031cba921
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/completion/complete.py
@@ -0,0 +1,129 @@
+"""
+Command-line completion mechanisms, executed by the core ``--complete`` flag.
+"""
+
+from typing import List
+import glob
+import os
+import re
+import shlex
+from typing import TYPE_CHECKING
+
+from ..exceptions import Exit, ParseError
+from ..util import debug, task_name_sort_key
+
+if TYPE_CHECKING:
+    from ..collection import Collection
+    from ..parser import Parser, ParseResult, ParserContext
+
+
+def complete(
+    names: List[str],
+    core: "ParseResult",
+    initial_context: "ParserContext",
+    collection: "Collection",
+    parser: "Parser",
+) -> Exit:
+    # Strip out program name (scripts give us full command line)
+    # TODO: this may not handle path/to/script though?
+    invocation = re.sub(r"^({}) ".format("|".join(names)), "", core.remainder)
+    debug("Completing for invocation: {!r}".format(invocation))
+    # Tokenize (shlex will have to do)
+    tokens = shlex.split(invocation)
+    # Handle flags (partial or otherwise)
+    if tokens and tokens[-1].startswith("-"):
+        tail = tokens[-1]
+        debug("Invocation's tail {!r} is flag-like".format(tail))
+        # Gently parse invocation to obtain 'current' context.
+        # Use last seen context in case of failure (required for
+        # otherwise-invalid partial invocations being completed).
+
+        contexts: List[ParserContext]
+        try:
+            debug("Seeking context name in tokens: {!r}".format(tokens))
+            contexts = parser.parse_argv(tokens)
+        except ParseError as e:
+            msg = "Got parser error ({!r}), grabbing its last-seen context {!r}"  # noqa
+            debug(msg.format(e, e.context))
+            contexts = [e.context] if e.context is not None else []
+        # Fall back to core context if no context seen.
+        debug("Parsed invocation, contexts: {!r}".format(contexts))
+        if not contexts or not contexts[-1]:
+            context = initial_context
+        else:
+            context = contexts[-1]
+        debug("Selected context: {!r}".format(context))
+        # Unknown flags (could be e.g. only partially typed out; could be
+        # wholly invalid; doesn't matter) complete with flags.
+        debug("Looking for {!r} in {!r}".format(tail, context.flags))
+        if tail not in context.flags:
+            debug("Not found, completing with flag names")
+            # Long flags - partial or just the dashes - complete w/ long flags
+            if tail.startswith("--"):
+                for name in filter(
+                    lambda x: x.startswith("--"), context.flag_names()
+                ):
+                    print(name)
+            # Just a dash, completes with all flags
+            elif tail == "-":
+                for name in context.flag_names():
+                    print(name)
+            # Otherwise, it's something entirely invalid (a shortflag not
+            # recognized, or a java style flag like -foo) so return nothing
+            # (the shell will still try completing with files, but that doesn't
+            # hurt really.)
+            else:
+                pass
+        # Known flags complete w/ nothing or tasks, depending
+        else:
+            # Flags expecting values: do nothing, to let default (usually
+            # file) shell completion occur (which we actively want in this
+            # case.)
+            if context.flags[tail].takes_value:
+                debug("Found, and it takes a value, so no completion")
+                pass
+            # Not taking values (eg bools): print task names
+            else:
+                debug("Found, takes no value, printing task names")
+                print_task_names(collection)
+    # If not a flag, is either task name or a flag value, so just complete
+    # task names.
+    else:
+        debug("Last token isn't flag-like, just printing task names")
+        print_task_names(collection)
+    raise Exit
+
+
+def print_task_names(collection: "Collection") -> None:
+    for name in sorted(collection.task_names, key=task_name_sort_key):
+        print(name)
+        # Just stick aliases after the thing they're aliased to. Sorting isn't
+        # so important that it's worth bending over backwards here.
+        for alias in collection.task_names[name]:
+            print(alias)
+
+
+def print_completion_script(shell: str, names: List[str]) -> None:
+    # Grab all .completion files in invoke/completion/. (These used to have no
+    # suffix, but surprise, that's super fragile.
+    completions = {
+        os.path.splitext(os.path.basename(x))[0]: x
+        for x in glob.glob(
+            os.path.join(
+                os.path.dirname(os.path.realpath(__file__)), "*.completion"
+            )
+        )
+    }
+    try:
+        path = completions[shell]
+    except KeyError:
+        err = 'Completion for shell "{}" not supported (options are: {}).'
+        raise ParseError(err.format(shell, ", ".join(sorted(completions))))
+    debug("Printing completion script from {}".format(path))
+    # Choose one arbitrary program name for script's own internal invocation
+    # (also used to construct completion function names when necessary)
+    binary = names[0]
+    with open(path, "r") as script:
+        print(
+            script.read().format(binary=binary, spaced_names=" ".join(names))
+        )
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/completion/fish.completion b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/completion/fish.completion
new file mode 100644
index 0000000000000000000000000000000000000000..5f479a187045dec2322e451010d8dde965065fd8
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/completion/fish.completion
@@ -0,0 +1,10 @@
+# Invoke tab-completion script for the fish shell
+# Copy it to the ~/.config/fish/completions directory
+
+function __complete_{binary}
+    {binary} --complete -- (commandline --tokenize)
+end
+
+# --no-files: Don't complete files unless invoke gives an empty result
+# TODO: find a way to honor all binary_names
+complete --command {binary} --no-files --arguments '(__complete_{binary})'
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/parser/__init__.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/parser/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..02aa026223b92589ce70bcb3e6d5708fff4d8ddf
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/parser/__init__.py
@@ -0,0 +1,5 @@
+# flake8: noqa
+from .parser import *
+from .context import ParserContext
+from .context import ParserContext as Context, to_flag, translate_underscores
+from .argument import Argument
diff --git a/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/parser/context.py b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/parser/context.py
new file mode 100644
index 0000000000000000000000000000000000000000..359e9f9e2f34ce84e9ec2527dcb54ce340b6a616
--- /dev/null
+++ b/platform/dbops/archive/databases_old/data/home/x/.local/lib/python3.12/site-packages/invoke/parser/context.py
@@ -0,0 +1,266 @@
+import itertools
+from typing import Any, Dict, List, Iterable, Optional, Tuple, Union
+
+try:
+    from ..vendor.lexicon import Lexicon
+except ImportError:
+    from lexicon import Lexicon  # type: ignore[no-redef]
+
+from .argument import Argument
+
+
+def translate_underscores(name: str) -> str:
+    return name.lstrip("_").rstrip("_").replace("_", "-")
+
+
+def to_flag(name: str) -> str:
+    name = translate_underscores(name)
+    if len(name) == 1:
+        return "-" + name
+    return "--" + name
+
+
+def sort_candidate(arg: Argument) -> str:
+    names = arg.names
+    # TODO: is there no "split into two buckets on predicate" builtin?
+    shorts = {x for x in names if len(x.strip("-")) == 1}
+    longs = {x for x in names if x not in shorts}
+    return str(sorted(shorts if shorts else longs)[0])
+
+
+def flag_key(arg: Argument) -> List[Union[int, str]]:
+    """
+    Obtain useful key list-of-ints for sorting CLI flags.
+
+    .. versionadded:: 1.0
+    """
+    # Setup
+    ret: List[Union[int, str]] = []
+    x = sort_candidate(arg)
+    # Long-style flags win over short-style ones, so the first item of
+    # comparison is simply whether the flag is a single character long (with
+    # non-length-1 flags coming "first" [lower number])
+    ret.append(1 if len(x) == 1 else 0)
+    # Next item of comparison is simply the strings themselves,
+    # case-insensitive. They will compare alphabetically if compared at this
+    # stage.
+    ret.append(x.lower())
+    # Finally, if the case-insensitive test also matched, compare
+    # case-sensitive, but inverse (with lowercase letters coming first)
+    inversed = ""
+    for char in x:
+        inversed += char.lower() if char.isupper() else char.upper()
+    ret.append(inversed)
+    return ret
+
+
+# Named slightly more verbose so Sphinx references can be unambiguous.
+# Got real sick of fully qualified paths.
+class ParserContext:
+    """
+    Parsing context with knowledge of flags & their format.
+
+    Generally associated with the core program or a task.
+
+    When run through a parser, will also hold runtime values filled in by the
+    parser.
+
+    .. versionadded:: 1.0
+    """
+
+    def __init__(
+        self,
+        name: Optional[str] = None,
+        aliases: Iterable[str] = (),
+        args: Iterable[Argument] = (),
+    ) -> None:
+        """
+        Create a new ``ParserContext`` named ``name``, with ``aliases``.
+
+        ``name`` is optional, and should be a string if given. It's used to
+        tell ParserContext objects apart, and for use in a Parser when
+        determining what chunk of input might belong to a given ParserContext.
+
+        ``aliases`` is also optional and should be an iterable containing
+        strings. Parsing will honor any aliases when trying to "find" a given
+        context in its input.
+
+        May give one or more ``args``, which is a quick alternative to calling
+        ``for arg in args: self.add_arg(arg)`` after initialization.
+        """
+        self.args = Lexicon()
+        self.positional_args: List[Argument] = []
+        self.flags = Lexicon()
+        self.inverse_flags: Dict[str, str] = {}  # No need for Lexicon here
+        self.name = name
+        self.aliases = aliases
+        for arg in args:
+            self.add_arg(arg)
+
+    def __repr__(self) -> str:
+        aliases = ""
+        if self.aliases:
+            aliases = " ({})".format(", ".join(self.aliases))
+        name = (" {!r}{}".format(self.name, aliases)) if self.name else ""
+        args = (": {!r}".format(self.args)) if self.args else ""
+        return "".format(name, args)
+
+    def add_arg(self, *args: Any, **kwargs: Any) -> None:
+        """
+        Adds given ``Argument`` (or constructor args for one) to this context.
+
+        The Argument in question is added to the following dict attributes:
+
+        * ``args``: "normal" access, i.e. the given names are directly exposed
+          as keys.
+        * ``flags``: "flaglike" access, i.e. the given names are translated
+          into CLI flags, e.g. ``"foo"`` is accessible via ``flags['--foo']``.
+        * ``inverse_flags``: similar to ``flags`` but containing only the
+          "inverse" versions of boolean flags which default to True. This
+          allows the parser to track e.g. ``--no-myflag`` and turn it into a
+          False value for the ``myflag`` Argument.
+
+        .. versionadded:: 1.0
+        """
+        # Normalize
+        if len(args) == 1 and isinstance(args[0], Argument):
+            arg = args[0]
+        else:
+            arg = Argument(*args, **kwargs)
+        # Uniqueness constraint: no name collisions
+        for name in arg.names:
+            if name in self.args:
+                msg = "Tried to add an argument named {!r} but one already exists!"  # noqa
+                raise ValueError(msg.format(name))
+        # First name used as "main" name for purposes of aliasing
+        main = arg.names[0]  # NOT arg.name
+        self.args[main] = arg
+        # Note positionals in distinct, ordered list attribute
+        if arg.positional:
+            self.positional_args.append(arg)
+        # Add names & nicknames to flags, args
+        self.flags[to_flag(main)] = arg
+        for name in arg.nicknames:
+            self.args.alias(name, to=main)
+            self.flags.alias(to_flag(name), to=to_flag(main))
+        # Add attr_name to args, but not flags
+        if arg.attr_name:
+            self.args.alias(arg.attr_name, to=main)
+        # Add to inverse_flags if required
+        if arg.kind == bool and arg.default is True:
+            # Invert the 'main' flag name here, which will be a dashed version
+            # of the primary argument name if underscore-to-dash transformation
+            # occurred.
+            inverse_name = to_flag("no-{}".format(main))
+            self.inverse_flags[inverse_name] = to_flag(main)
+
+    @property
+    def missing_positional_args(self) -> List[Argument]:
+        return [x for x in self.positional_args if x.value is None]
+
+    @property
+    def as_kwargs(self) -> Dict[str, Any]:
+        """
+        This context's arguments' values keyed by their ``.name`` attribute.
+
+        Results in a dict suitable for use in Python contexts, where e.g. an
+        arg named ``foo-bar`` becomes accessible as ``foo_bar``.
+
+        .. versionadded:: 1.0
+        """
+        ret = {}
+        for arg in self.args.values():
+            ret[arg.name] = arg.value
+        return ret
+
+    def names_for(self, flag: str) -> List[str]:
+        # TODO: should probably be a method on Lexicon/AliasDict
+        return list(set([flag] + self.flags.aliases_of(flag)))
+
+    def help_for(self, flag: str) -> Tuple[str, str]:
+        """
+        Return 2-tuple of ``(flag-spec, help-string)`` for given ``flag``.
+
+        .. versionadded:: 1.0
+        """
+        # Obtain arg obj
+        if flag not in self.flags:
+            err = "{!r} is not a valid flag for this context! Valid flags are: {!r}"  # noqa
+            raise ValueError(err.format(flag, self.flags.keys()))
+        arg = self.flags[flag]
+        # Determine expected value type, if any
+        value = {str: "STRING", int: "INT"}.get(arg.kind)
+        # Format & go
+        full_names = []
+        for name in self.names_for(flag):
+            if value:
+                # Short flags are -f VAL, long are --foo=VAL
+                # When optional, also, -f [VAL] and --foo[=VAL]
+                if len(name.strip("-")) == 1:
+                    value_ = ("[{}]".format(value)) if arg.optional else value
+                    valuestr = " {}".format(value_)
+                else:
+                    valuestr = "={}".format(value)
+                    if arg.optional:
+                        valuestr = "[{}]".format(valuestr)
+            else:
+                # no value => boolean
+                # check for inverse
+                if name in self.inverse_flags.values():
+                    name = "--[no-]{}".format(name[2:])
+
+                valuestr = ""
+            # Tack together
+            full_names.append(name + valuestr)
+        namestr = ", ".join(sorted(full_names, key=len))
+        helpstr = arg.help or ""
+        return namestr, helpstr
+
+    def help_tuples(self) -> List[Tuple[str, Optional[str]]]:
+        """
+        Return sorted iterable of help tuples for all member Arguments.
+
+        Sorts like so:
+
+        * General sort is alphanumerically
+        * Short flags win over long flags
+        * Arguments with *only* long flags and *no* short flags will come
+          first.
+        * When an Argument has multiple long or short flags, it will sort using
+          the most favorable (lowest alphabetically) candidate.
+
+        This will result in a help list like so::
+
+            --alpha, --zeta # 'alpha' wins
+            --beta
+            -a, --query # short flag wins
+            -b, --argh
+            -c
+
+        .. versionadded:: 1.0
+        """
+        # TODO: argument/flag API must change :(
+        # having to call to_flag on 1st name of an Argument is just dumb.
+        # To pass in an Argument object to help_for may require moderate
+        # changes?
+        return list(
+            map(
+                lambda x: self.help_for(to_flag(x.name)),
+                sorted(self.flags.values(), key=flag_key),
+            )
+        )
+
+    def flag_names(self) -> Tuple[str, ...]:
+        """
+        Similar to `help_tuples` but returns flag names only, no helpstrs.
+
+        Specifically, all flag names, flattened, in rough order.
+
+        .. versionadded:: 1.0
+        """
+        # Regular flag names
+        flags = sorted(self.flags.values(), key=flag_key)
+        names = [self.names_for(to_flag(x.name)) for x in flags]
+        # Inverse flag names sold separately
+        names.append(list(self.inverse_flags.keys()))
+        return tuple(itertools.chain.from_iterable(names))