sentence1 stringlengths 52 3.87M | sentence2 stringlengths 1 47.2k | label stringclasses 1
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def MapByteStream(self, byte_stream, **unused_kwargs): # pylint: disable=redundant-returns-doc
"""Maps the data type on a byte stream.
Args:
byte_stream (bytes): byte stream.
Returns:
object: mapped value.
Raises:
MappingError: if the data type definition cannot be mapped on
... | Maps the data type on a byte stream.
Args:
byte_stream (bytes): byte stream.
Returns:
object: mapped value.
Raises:
MappingError: if the data type definition cannot be mapped on
the byte stream. | entailment |
def GetName(self, number):
"""Retrieves the name of an enumeration value by number.
Args:
number (int): number.
Returns:
str: name of the enumeration value or None if no corresponding
enumeration value was found.
"""
value = self._data_type_definition.values_per_number.get(nu... | Retrieves the name of an enumeration value by number.
Args:
number (int): number.
Returns:
str: name of the enumeration value or None if no corresponding
enumeration value was found. | entailment |
def CreateDataTypeMap(self, definition_name):
"""Creates a specific data type map by name.
Args:
definition_name (str): name of the data type definition.
Returns:
DataTypeMap: data type map or None if the date type definition
is not available.
"""
data_type_definition = self.... | Creates a specific data type map by name.
Args:
definition_name (str): name of the data type definition.
Returns:
DataTypeMap: data type map or None if the date type definition
is not available. | entailment |
def CreateDataTypeMapByType(cls, data_type_definition):
"""Creates a specific data type map by type indicator.
Args:
data_type_definition (DataTypeDefinition): data type definition.
Returns:
DataTypeMap: data type map or None if the date type definition
is not available.
"""
... | Creates a specific data type map by type indicator.
Args:
data_type_definition (DataTypeDefinition): data type definition.
Returns:
DataTypeMap: data type map or None if the date type definition
is not available. | entailment |
def GetByteSize(self):
"""Retrieves the byte size of the data type definition.
Returns:
int: data type size in bytes or None if size cannot be determined.
"""
if self.size == definitions.SIZE_NATIVE or self.units != 'bytes':
return None
return self.size | Retrieves the byte size of the data type definition.
Returns:
int: data type size in bytes or None if size cannot be determined. | entailment |
def GetByteSize(self):
"""Retrieves the byte size of the data type definition.
Returns:
int: data type size in bytes or None if size cannot be determined.
"""
if not self.element_data_type_definition:
return None
if self.elements_data_size:
return self.elements_data_size
if ... | Retrieves the byte size of the data type definition.
Returns:
int: data type size in bytes or None if size cannot be determined. | entailment |
def AddMemberDefinition(self, member_definition):
"""Adds a member definition.
Args:
member_definition (DataTypeDefinition): member data type definition.
"""
self._byte_size = None
self.members.append(member_definition)
if self.sections:
section_definition = self.sections[-1]
... | Adds a member definition.
Args:
member_definition (DataTypeDefinition): member data type definition. | entailment |
def IsComposite(self):
"""Determines if the data type is composite.
A composite data type consists of other data types.
Returns:
bool: True if the data type is composite, False otherwise.
"""
return bool(self.condition) or (
self.member_data_type_definition and
self.member_da... | Determines if the data type is composite.
A composite data type consists of other data types.
Returns:
bool: True if the data type is composite, False otherwise. | entailment |
def GetByteSize(self):
"""Retrieves the byte size of the data type definition.
Returns:
int: data type size in bytes or None if size cannot be determined.
"""
if self._byte_size is None and self.members:
self._byte_size = 0
for member_definition in self.members:
if isinstance(... | Retrieves the byte size of the data type definition.
Returns:
int: data type size in bytes or None if size cannot be determined. | entailment |
def GetByteSize(self):
"""Retrieves the byte size of the data type definition.
Returns:
int: data type size in bytes or None if size cannot be determined.
"""
if self._byte_size is None and self.members:
self._byte_size = 0
for member_definition in self.members:
byte_size = me... | Retrieves the byte size of the data type definition.
Returns:
int: data type size in bytes or None if size cannot be determined. | entailment |
def AddValue(self, name, number, aliases=None, description=None):
"""Adds an enumeration value.
Args:
name (str): name.
number (int): number.
aliases (Optional[list[str]]): aliases.
description (Optional[str]): description.
Raises:
KeyError: if the enumeration value already e... | Adds an enumeration value.
Args:
name (str): name.
number (int): number.
aliases (Optional[list[str]]): aliases.
description (Optional[str]): description.
Raises:
KeyError: if the enumeration value already exists. | entailment |
def AddMemberDefinition(self, member_definition):
"""Adds a member definition.
Args:
member_definition (DataTypeDefinition): member data type definition.
"""
self.members.append(member_definition)
member_definition.family_definition = self | Adds a member definition.
Args:
member_definition (DataTypeDefinition): member data type definition. | entailment |
def parse_series(s):
"""
Parses things like '1n+2', or 'an+b' generally, returning (a, b)
"""
if isinstance(s, Element):
s = s._format_element()
if not s or s == '*':
# Happens when there's nothing, which the CSS parser thinks of as *
return (0, 0)
if isinstance(s, int):
... | Parses things like '1n+2', or 'an+b' generally, returning (a, b) | entailment |
def add_star_prefix(self):
"""
Adds a /* prefix if there is no prefix. This is when you need
to keep context's constrained to a single parent.
"""
if self.path:
self.path += '*/'
else:
self.path = '*/'
self.star_prefix = True | Adds a /* prefix if there is no prefix. This is when you need
to keep context's constrained to a single parent. | entailment |
def _ReadBooleanDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads a boolean data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str,... | Reads a boolean data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the data typ... | entailment |
def _ReadCharacterDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads a character data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[... | Reads a character data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the data t... | entailment |
def _ReadConstantDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads a constant data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[st... | Reads a constant data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the data ty... | entailment |
def _ReadDataTypeDefinition(
self, definitions_registry, definition_values, data_type_definition_class,
definition_name, supported_definition_values):
"""Reads a data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
def... | Reads a data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
data_type_definition_class (str): data type definition class.
definition_name (str): name of the defini... | entailment |
def _ReadDataTypeDefinitionWithMembers(
self, definitions_registry, definition_values,
data_type_definition_class, definition_name, supports_conditions=False):
"""Reads a data type definition with members.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
... | Reads a data type definition with members.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
data_type_definition_class (str): data type definition class.
definition_name (str): name ... | entailment |
def _ReadEnumerationDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads an enumeration data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (... | Reads an enumeration data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the dat... | entailment |
def _ReadElementSequenceDataTypeDefinition(
self, definitions_registry, definition_values,
data_type_definition_class, definition_name, supported_definition_values):
"""Reads an element sequence data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definiti... | Reads an element sequence data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
data_type_definition_class (str): data type definition class.
definition_name (str): ... | entailment |
def _ReadFixedSizeDataTypeDefinition(
self, definitions_registry, definition_values, data_type_definition_class,
definition_name, supported_attributes,
default_size=definitions.SIZE_NATIVE, default_units='bytes',
is_member=False, supported_size_values=None):
"""Reads a fixed-size data type d... | Reads a fixed-size data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
data_type_definition_class (str): data type definition class.
definition_name (str): name of... | entailment |
def _ReadFloatingPointDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads a floating-point data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_valu... | Reads a floating-point data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the d... | entailment |
def _ReadFormatDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads a format data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, o... | Reads a format data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the data type... | entailment |
def _ReadIntegerDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads an integer data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str... | Reads an integer data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the data ty... | entailment |
def _ReadLayoutDataTypeDefinition(
self, definitions_registry, definition_values, data_type_definition_class,
definition_name, supported_definition_values):
"""Reads a layout data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
regist... | Reads a layout data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
data_type_definition_class (str): data type definition class.
definition_name (str): name of the... | entailment |
def _ReadMemberDataTypeDefinitionMember(
self, definitions_registry, definition_values, definition_name,
supports_conditions=False):
"""Reads a member data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_val... | Reads a member data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
supports_conditions (Optional[bool]): True if con... | entailment |
def _ReadPaddingDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads a padding data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str,... | Reads a padding data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the data typ... | entailment |
def _ReadSemanticDataTypeDefinition(
self, definitions_registry, definition_values, data_type_definition_class,
definition_name, supported_definition_values):
"""Reads a semantic data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
re... | Reads a semantic data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
data_type_definition_class (str): data type definition class.
definition_name (str): name of t... | entailment |
def _ReadSequenceDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads a sequence data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[st... | Reads a sequence data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the data ty... | entailment |
def _ReadStorageDataTypeDefinition(
self, definitions_registry, definition_values, data_type_definition_class,
definition_name, supported_attributes, is_member=False):
"""Reads a storage data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
... | Reads a storage data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
data_type_definition_class (str): data type definition class.
definition_name (str): name of th... | entailment |
def _ReadStreamDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads a stream data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, o... | Reads a stream data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the data type... | entailment |
def _ReadStringDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads a string data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, o... | Reads a string data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the data type... | entailment |
def _ReadStructureDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads a structure data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[... | Reads a structure data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the data t... | entailment |
def _ReadStructureFamilyDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads a structure family data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_... | Reads a structure family data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the... | entailment |
def _ReadUnionDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads an union data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, ob... | Reads an union data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the data type... | entailment |
def _ReadUUIDDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
"""Reads an UUID data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, obje... | Reads an UUID data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the data type ... | entailment |
def _ReadDefinition(self, definitions_registry, definition_values):
"""Reads a data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
Returns:
DataTypeDefinition: ... | Reads a data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
Returns:
DataTypeDefinition: data type definition or None.
Raises:
DefinitionReaderError: if ... | entailment |
def ReadFile(self, definitions_registry, path):
"""Reads data type definitions from a file into the registry.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
path (str): path of the file to read from.
"""
with open(path, 'r') as file_objec... | Reads data type definitions from a file into the registry.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
path (str): path of the file to read from. | entailment |
def _GetFormatErrorLocation(
self, yaml_definition, last_definition_object):
"""Retrieves a format error location.
Args:
yaml_definition (dict[str, object]): current YAML definition.
last_definition_object (DataTypeDefinition): previous data type
definition.
Returns:
str:... | Retrieves a format error location.
Args:
yaml_definition (dict[str, object]): current YAML definition.
last_definition_object (DataTypeDefinition): previous data type
definition.
Returns:
str: format error location. | entailment |
def ReadFileObject(self, definitions_registry, file_object):
"""Reads data type definitions from a file-like object into the registry.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
file_object (file): file-like object to read from.
Raises:
... | Reads data type definitions from a file-like object into the registry.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
file_object (file): file-like object to read from.
Raises:
FormatError: if the definitions values are missing or if the f... | entailment |
def find_files(path, filter="*.md"):
""" Finds files with an (optional) given extension in a given path. """
if os.path.isfile(path):
return [path]
if os.path.isdir(path):
matches = []
for root, dirnames, filenames in os.walk(path):
for filena... | Finds files with an (optional) given extension in a given path. | entailment |
def read_from_hdx(identifier, configuration=None):
# type: (str, Optional[Configuration]) -> Optional['Organization']
"""Reads the organization given by identifier from HDX and returns Organization object
Args:
identifier (str): Identifier of organization
configuration (... | Reads the organization given by identifier from HDX and returns Organization object
Args:
identifier (str): Identifier of organization
configuration (Optional[Configuration]): HDX configuration. Defaults to global configuration.
Returns:
Optional[Organization]: Orga... | entailment |
def get_users(self, capacity=None):
# type: (Optional[str]) -> List[User]
"""Returns the organization's users.
Args:
capacity (Optional[str]): Filter by capacity eg. member, admin. Defaults to None.
Returns:
List[User]: Organization's users.
"""
u... | Returns the organization's users.
Args:
capacity (Optional[str]): Filter by capacity eg. member, admin. Defaults to None.
Returns:
List[User]: Organization's users. | entailment |
def add_update_user(self, user, capacity=None):
# type: (Union[hdx.data.user.User,Dict,str],Optional[str]) -> None
"""Add new or update existing user in organization with new metadata. Capacity eg. member, admin
must be supplied either within the User object or dictionary or using the capacity a... | Add new or update existing user in organization with new metadata. Capacity eg. member, admin
must be supplied either within the User object or dictionary or using the capacity argument (which takes
precedence).
Args:
user (Union[User,Dict,str]): Either a user id or user metadata ei... | entailment |
def add_update_users(self, users, capacity=None):
# type: (List[Union[hdx.data.user.User,Dict,str]],Optional[str]) -> None
"""Add new or update existing users in organization with new metadata. Capacity eg. member, admin
must be supplied either within the User object or dictionary or using the c... | Add new or update existing users in organization with new metadata. Capacity eg. member, admin
must be supplied either within the User object or dictionary or using the capacity argument (which takes
precedence).
Args:
users (List[Union[User,Dict,str]]): A list of either user ids or... | entailment |
def get_datasets(self, query='*:*', **kwargs):
# type: (str, Any) -> List[hdx.data.dataset.Dataset]
"""Get list of datasets in organization
Args:
query (str): Restrict datasets returned to this query (in Solr format). Defaults to '*:*'.
**kwargs: See below
so... | Get list of datasets in organization
Args:
query (str): Restrict datasets returned to this query (in Solr format). Defaults to '*:*'.
**kwargs: See below
sort (string): Sorting of the search results. Defaults to 'relevance asc, metadata_modified desc'.
rows (int)... | entailment |
def get_all_organization_names(configuration=None, **kwargs):
# type: (Optional[Configuration], Any) -> List[str]
"""Get all organization names in HDX
Args:
configuration (Optional[Configuration]): HDX configuration. Defaults to global configuration.
**kwargs: See below
... | Get all organization names in HDX
Args:
configuration (Optional[Configuration]): HDX configuration. Defaults to global configuration.
**kwargs: See below
sort (str): Sort the search results according to field name and sort-order. Allowed fields are ‘name’, ‘package_count’ an... | entailment |
def _read_from_hdx(self, object_type, value, fieldname='id',
action=None, **kwargs):
# type: (str, str, str, Optional[str], Any) -> Tuple[bool, Union[Dict, str]]
"""Makes a read call to HDX passing in given parameter.
Args:
object_type (str): Description of HD... | Makes a read call to HDX passing in given parameter.
Args:
object_type (str): Description of HDX object type (for messages)
value (str): Value of HDX field
fieldname (str): HDX field name. Defaults to id.
action (Optional[str]): Replacement CKAN action url to use... | entailment |
def _load_from_hdx(self, object_type, id_field):
# type: (str, str) -> bool
"""Helper method to load the HDX object given by identifier from HDX
Args:
object_type (str): Description of HDX object type (for messages)
id_field (str): HDX object identifier
Returns:... | Helper method to load the HDX object given by identifier from HDX
Args:
object_type (str): Description of HDX object type (for messages)
id_field (str): HDX object identifier
Returns:
bool: True if loaded, False if not | entailment |
def _check_load_existing_object(self, object_type, id_field_name, operation='update'):
# type: (str, str, str) -> None
"""Check metadata exists and contains HDX object identifier, and if so load HDX object
Args:
object_type (str): Description of HDX object type (for messages)
... | Check metadata exists and contains HDX object identifier, and if so load HDX object
Args:
object_type (str): Description of HDX object type (for messages)
id_field_name (str): Name of field containing HDX object identifier
operation (str): Operation to report if error. Defau... | entailment |
def _check_required_fields(self, object_type, ignore_fields):
# type: (str, List[str]) -> None
"""Helper method to check that metadata for HDX object is complete
Args:
ignore_fields (List[str]): Any fields to ignore in the check
Returns:
None
"""
... | Helper method to check that metadata for HDX object is complete
Args:
ignore_fields (List[str]): Any fields to ignore in the check
Returns:
None | entailment |
def _merge_hdx_update(self, object_type, id_field_name, file_to_upload=None, **kwargs):
# type: (str, str, Optional[str], Any) -> None
"""Helper method to check if HDX object exists and update it
Args:
object_type (str): Description of HDX object type (for messages)
id_f... | Helper method to check if HDX object exists and update it
Args:
object_type (str): Description of HDX object type (for messages)
id_field_name (str): Name of field containing HDX object identifier
file_to_upload (Optional[str]): File to upload to HDX
**kwargs: Se... | entailment |
def _update_in_hdx(self, object_type, id_field_name, file_to_upload=None, **kwargs):
# type: (str, str, Optional[str], Any) -> None
"""Helper method to check if HDX object exists in HDX and if so, update it
Args:
object_type (str): Description of HDX object type (for messages)
... | Helper method to check if HDX object exists in HDX and if so, update it
Args:
object_type (str): Description of HDX object type (for messages)
id_field_name (str): Name of field containing HDX object identifier
file_to_upload (Optional[str]): File to upload to HDX
... | entailment |
def _write_to_hdx(self, action, data, id_field_name, file_to_upload=None):
# type: (str, Dict, str, Optional[str]) -> Dict
"""Creates or updates an HDX object in HDX and return HDX object metadata dict
Args:
action (str): Action to perform eg. 'create', 'update'
data (Di... | Creates or updates an HDX object in HDX and return HDX object metadata dict
Args:
action (str): Action to perform eg. 'create', 'update'
data (Dict): Data to write to HDX
id_field_name (str): Name of field containing HDX object identifier or None
file_to_upload (... | entailment |
def _save_to_hdx(self, action, id_field_name, file_to_upload=None):
# type: (str, str, Optional[str]) -> None
"""Creates or updates an HDX object in HDX, saving current data and replacing with returned HDX object data
from HDX
Args:
action (str): Action to perform: 'create' ... | Creates or updates an HDX object in HDX, saving current data and replacing with returned HDX object data
from HDX
Args:
action (str): Action to perform: 'create' or 'update'
id_field_name (str): Name of field containing HDX object identifier
file_to_upload (Optional[... | entailment |
def _create_in_hdx(self, object_type, id_field_name, name_field_name,
file_to_upload=None):
# type: (str, str, str, Optional[str]) -> None
"""Helper method to check if resource exists in HDX and if so, update it, otherwise create it
Args:
object_type (str): D... | Helper method to check if resource exists in HDX and if so, update it, otherwise create it
Args:
object_type (str): Description of HDX object type (for messages)
id_field_name (str): Name of field containing HDX object identifier
name_field_name (str): Name of field contain... | entailment |
def _delete_from_hdx(self, object_type, id_field_name):
# type: (str, str) -> None
"""Helper method to deletes a resource from HDX
Args:
object_type (str): Description of HDX object type (for messages)
id_field_name (str): Name of field containing HDX object identifier
... | Helper method to deletes a resource from HDX
Args:
object_type (str): Description of HDX object type (for messages)
id_field_name (str): Name of field containing HDX object identifier
Returns:
None | entailment |
def _addupdate_hdxobject(self, hdxobjects, id_field, new_hdxobject):
# type: (List[HDXObjectUpperBound], str, HDXObjectUpperBound) -> HDXObjectUpperBound
"""Helper function to add a new HDX object to a supplied list of HDX objects or update existing metadata if the object
already exists in the l... | Helper function to add a new HDX object to a supplied list of HDX objects or update existing metadata if the object
already exists in the list
Args:
hdxobjects (List[T <= HDXObject]): list of HDX objects to which to add new objects or update existing ones
id_field (str): Field o... | entailment |
def _remove_hdxobject(self, objlist, obj, matchon='id', delete=False):
# type: (List[Union[HDXObjectUpperBound,Dict]], Union[HDXObjectUpperBound,Dict,str], str, bool) -> bool
"""Remove an HDX object from a list within the parent HDX object
Args:
objlist (List[Union[T <= HDXObject,Di... | Remove an HDX object from a list within the parent HDX object
Args:
objlist (List[Union[T <= HDXObject,Dict]]): list of HDX objects
obj (Union[T <= HDXObject,Dict,str]): Either an id or hdx object metadata either from an HDX object or a dictionary
matchon (str): Field to mat... | entailment |
def _convert_hdxobjects(self, hdxobjects):
# type: (List[HDXObjectUpperBound]) -> List[HDXObjectUpperBound]
"""Helper function to convert supplied list of HDX objects to a list of dict
Args:
hdxobjects (List[T <= HDXObject]): List of HDX objects to convert
Returns:
... | Helper function to convert supplied list of HDX objects to a list of dict
Args:
hdxobjects (List[T <= HDXObject]): List of HDX objects to convert
Returns:
List[Dict]: List of HDX objects converted to simple dictionaries | entailment |
def _copy_hdxobjects(self, hdxobjects, hdxobjectclass, attribute_to_copy=None):
# type: (List[HDXObjectUpperBound], type, Optional[str]) -> List[HDXObjectUpperBound]
"""Helper function to make a deep copy of a supplied list of HDX objects
Args:
hdxobjects (List[T <= HDXObject]): lis... | Helper function to make a deep copy of a supplied list of HDX objects
Args:
hdxobjects (List[T <= HDXObject]): list of HDX objects to copy
hdxobjectclass (type): Type of the HDX Objects to be copied
attribute_to_copy (Optional[str]): An attribute to copy over from the HDX ob... | entailment |
def _separate_hdxobjects(self, hdxobjects, hdxobjects_name, id_field, hdxobjectclass):
# type: (List[HDXObjectUpperBound], str, str, type) -> None
"""Helper function to take a list of HDX objects contained in the internal dictionary and add them to a
supplied list of HDX objects or update existi... | Helper function to take a list of HDX objects contained in the internal dictionary and add them to a
supplied list of HDX objects or update existing metadata if any objects already exist in the list. The list in
the internal dictionary is then deleted.
Args:
hdxobjects (List[T <= HD... | entailment |
def _get_tags(self):
# type: () -> List[str]
"""Return the dataset's list of tags
Returns:
List[str]: list of tags or [] if there are none
"""
tags = self.data.get('tags', None)
if not tags:
return list()
return [x['name'] for x in tags] | Return the dataset's list of tags
Returns:
List[str]: list of tags or [] if there are none | entailment |
def _add_tag(self, tag):
# type: (str) -> bool
"""Add a tag
Args:
tag (str): Tag to add
Returns:
bool: True if tag added or False if tag already present
"""
tags = self.data.get('tags', None)
if tags:
if tag in [x['name'] for ... | Add a tag
Args:
tag (str): Tag to add
Returns:
bool: True if tag added or False if tag already present | entailment |
def _add_tags(self, tags):
# type: (List[str]) -> bool
"""Add a list of tag
Args:
tags (List[str]): list of tags to add
Returns:
bool: True if all tags added or False if any already present.
"""
alltagsadded = True
for tag in tags:
... | Add a list of tag
Args:
tags (List[str]): list of tags to add
Returns:
bool: True if all tags added or False if any already present. | entailment |
def _get_stringlist_from_commastring(self, field):
# type: (str) -> List[str]
"""Return list of strings from comma separated list
Args:
field (str): Field containing comma separated list
Returns:
List[str]: List of strings
"""
strings = self.data... | Return list of strings from comma separated list
Args:
field (str): Field containing comma separated list
Returns:
List[str]: List of strings | entailment |
def _add_string_to_commastring(self, field, string):
# type: (str, str) -> bool
"""Add a string to a comma separated list of strings
Args:
field (str): Field containing comma separated list
string (str): String to add
Returns:
bool: True if string ad... | Add a string to a comma separated list of strings
Args:
field (str): Field containing comma separated list
string (str): String to add
Returns:
bool: True if string added or False if string already present | entailment |
def _add_strings_to_commastring(self, field, strings):
# type: (str, List[str]) -> bool
"""Add a list of strings to a comma separated list of strings
Args:
field (str): Field containing comma separated list
strings (List[str]): list of strings to add
Returns:
... | Add a list of strings to a comma separated list of strings
Args:
field (str): Field containing comma separated list
strings (List[str]): list of strings to add
Returns:
bool: True if all strings added or False if any already present. | entailment |
def _remove_string_from_commastring(self, field, string):
# type: (str, str) -> bool
"""Remove a string from a comma separated list of strings
Args:
field (str): Field containing comma separated list
string (str): String to remove
Returns:
bool: True... | Remove a string from a comma separated list of strings
Args:
field (str): Field containing comma separated list
string (str): String to remove
Returns:
bool: True if string removed or False if not | entailment |
def read_from_hdx(identifier, configuration=None):
# type: (str, Optional[Configuration]) -> Optional['Resource']
"""Reads the resource given by identifier from HDX and returns Resource object
Args:
identifier (str): Identifier of resource
configuration (Optional[Configu... | Reads the resource given by identifier from HDX and returns Resource object
Args:
identifier (str): Identifier of resource
configuration (Optional[Configuration]): HDX configuration. Defaults to global configuration.
Returns:
Optional[Resource]: Resource object if s... | entailment |
def set_file_to_upload(self, file_to_upload):
# type: (str) -> None
"""Delete any existing url and set the file uploaded to the local path provided
Args:
file_to_upload (str): Local path to file to upload
Returns:
None
"""
if 'url' in self.data:
... | Delete any existing url and set the file uploaded to the local path provided
Args:
file_to_upload (str): Local path to file to upload
Returns:
None | entailment |
def check_url_filetoupload(self):
# type: () -> None
"""Check if url or file to upload provided for resource and add resource_type and url_type if not supplied
Returns:
None
"""
if self.file_to_upload is None:
if 'url' in self.data:
if 're... | Check if url or file to upload provided for resource and add resource_type and url_type if not supplied
Returns:
None | entailment |
def update_in_hdx(self, **kwargs):
# type: (Any) -> None
"""Check if resource exists in HDX and if so, update it
Args:
**kwargs: See below
operation (string): Operation to perform eg. patch. Defaults to update.
Returns:
None
"""
self.... | Check if resource exists in HDX and if so, update it
Args:
**kwargs: See below
operation (string): Operation to perform eg. patch. Defaults to update.
Returns:
None | entailment |
def create_in_hdx(self):
# type: () -> None
"""Check if resource exists in HDX and if so, update it, otherwise create it
Returns:
None
"""
self.check_required_fields()
id = self.data.get('id')
if id and self._load_from_hdx('resource', id):
... | Check if resource exists in HDX and if so, update it, otherwise create it
Returns:
None | entailment |
def get_dataset(self):
# type: () -> hdx.data.dataset.Dataset
"""Return dataset containing this resource
Returns:
hdx.data.dataset.Dataset: Dataset containing this resource
"""
package_id = self.data.get('package_id')
if package_id is None:
raise ... | Return dataset containing this resource
Returns:
hdx.data.dataset.Dataset: Dataset containing this resource | entailment |
def search_in_hdx(query, configuration=None, **kwargs):
# type: (str, Optional[Configuration], Any) -> List['Resource']
"""Searches for resources in HDX. NOTE: Does not search dataset metadata!
Args:
query (str): Query
configuration (Optional[Configuration]): HDX configu... | Searches for resources in HDX. NOTE: Does not search dataset metadata!
Args:
query (str): Query
configuration (Optional[Configuration]): HDX configuration. Defaults to global configuration.
**kwargs: See below
order_by (str): A field on the Resource model that or... | entailment |
def download(self, folder=None):
# type: (Optional[str]) -> Tuple[str, str]
"""Download resource store to provided folder or temporary folder if no folder supplied
Args:
folder (Optional[str]): Folder to download resource to. Defaults to None.
Returns:
Tuple[str... | Download resource store to provided folder or temporary folder if no folder supplied
Args:
folder (Optional[str]): Folder to download resource to. Defaults to None.
Returns:
Tuple[str, str]: (URL downloaded, Path to downloaded file) | entailment |
def get_all_resource_ids_in_datastore(configuration=None):
# type: (Optional[Configuration]) -> List[str]
"""Get list of resources that have a datastore returning their ids.
Args:
configuration (Optional[Configuration]): HDX configuration. Defaults to global configuration.
... | Get list of resources that have a datastore returning their ids.
Args:
configuration (Optional[Configuration]): HDX configuration. Defaults to global configuration.
Returns:
List[str]: List of resource ids that are in the datastore | entailment |
def has_datastore(self):
# type: () -> bool
"""Check if the resource has a datastore.
Returns:
bool: Whether the resource has a datastore or not
"""
success, result = self._read_from_hdx('datastore', self.data['id'], 'resource_id',
... | Check if the resource has a datastore.
Returns:
bool: Whether the resource has a datastore or not | entailment |
def delete_datastore(self):
# type: () -> None
"""Delete a resource from the HDX datastore
Returns:
None
"""
success, result = self._read_from_hdx('datastore', self.data['id'], 'resource_id',
self.actions()['datastore_del... | Delete a resource from the HDX datastore
Returns:
None | entailment |
def create_datastore(self, schema=None, primary_key=None,
delete_first=0, path=None):
# type: (Optional[List[Dict]], Optional[str], int, Optional[str]) -> None
"""For tabular data, create a resource in the HDX datastore which enables data preview in HDX. If no schema is provided... | For tabular data, create a resource in the HDX datastore which enables data preview in HDX. If no schema is provided
all fields are assumed to be text. If path is not supplied, the file is first downloaded from HDX.
Args:
schema (List[Dict]): List of fields and types of form {'id': 'FIELD',... | entailment |
def create_datastore_from_dict_schema(self, data, delete_first=0, path=None):
# type: (dict, int, Optional[str]) -> None
"""For tabular data, create a resource in the HDX datastore which enables data preview in HDX from a dictionary
containing a list of fields and types of form {'id': 'FIELD', '... | For tabular data, create a resource in the HDX datastore which enables data preview in HDX from a dictionary
containing a list of fields and types of form {'id': 'FIELD', 'type': 'TYPE'} and optionally a primary key.
If path is not supplied, the file is first downloaded from HDX.
Args:
... | entailment |
def create_datastore_from_yaml_schema(self, yaml_path, delete_first=0,
path=None):
# type: (str, Optional[int], Optional[str]) -> None
"""For tabular data, create a resource in the HDX datastore which enables data preview in HDX from a YAML file
containi... | For tabular data, create a resource in the HDX datastore which enables data preview in HDX from a YAML file
containing a list of fields and types of form {'id': 'FIELD', 'type': 'TYPE'} and optionally a primary key.
If path is not supplied, the file is first downloaded from HDX.
Args:
... | entailment |
def create_datastore_from_json_schema(self, json_path, delete_first=0, path=None):
# type: (str, int, Optional[str]) -> None
"""For tabular data, create a resource in the HDX datastore which enables data preview in HDX from a JSON file
containing a list of fields and types of form {'id': 'FIELD'... | For tabular data, create a resource in the HDX datastore which enables data preview in HDX from a JSON file
containing a list of fields and types of form {'id': 'FIELD', 'type': 'TYPE'} and optionally a primary key.
If path is not supplied, the file is first downloaded from HDX.
Args:
... | entailment |
def create_datastore_for_topline(self, delete_first=0, path=None):
# type: (int, Optional[str]) -> None
"""For tabular data, create a resource in the HDX datastore which enables data preview in HDX using the built in
YAML definition for a topline. If path is not supplied, the file is first downl... | For tabular data, create a resource in the HDX datastore which enables data preview in HDX using the built in
YAML definition for a topline. If path is not supplied, the file is first downloaded from HDX.
Args:
delete_first (int): Delete datastore before creation. 0 = No, 1 = Yes, 2 = If no... | entailment |
def update_datastore(self, schema=None, primary_key=None,
path=None):
# type: (Optional[List[Dict]], Optional[str], Optional[str]) -> None
"""For tabular data, update a resource in the HDX datastore which enables data preview in HDX. If no schema is provided
all fields a... | For tabular data, update a resource in the HDX datastore which enables data preview in HDX. If no schema is provided
all fields are assumed to be text. If path is not supplied, the file is first downloaded from HDX.
Args:
schema (List[Dict]): List of fields and types of form {'id': 'FIELD',... | entailment |
def _get_resource_view(self, resource_view):
# type: (Union[ResourceView,Dict]) -> ResourceView
"""Get resource view id
Args:
resource_view (Union[ResourceView,Dict]): ResourceView metadata from a ResourceView object or dictionary
Returns:
ResourceView: Resource... | Get resource view id
Args:
resource_view (Union[ResourceView,Dict]): ResourceView metadata from a ResourceView object or dictionary
Returns:
ResourceView: ResourceView object | entailment |
def add_update_resource_views(self, resource_views):
# type: (List[Union[ResourceView,Dict]]) -> None
"""Add new or update existing resource views in resource with new metadata.
Args:
resource_views (List[Union[ResourceView,Dict]]): A list of resource views metadata from ResourceVie... | Add new or update existing resource views in resource with new metadata.
Args:
resource_views (List[Union[ResourceView,Dict]]): A list of resource views metadata from ResourceView objects or dictionaries
Returns:
None | entailment |
def reorder_resource_views(self, resource_views):
# type: (List[Union[ResourceView,Dict,str]]) -> None
"""Order resource views in resource.
Args:
resource_views (List[Union[ResourceView,Dict,str]]): A list of either resource view ids or resource views metadata from ResourceView obje... | Order resource views in resource.
Args:
resource_views (List[Union[ResourceView,Dict,str]]): A list of either resource view ids or resource views metadata from ResourceView objects or dictionaries
Returns:
None | entailment |
def delete_resource_view(self, resource_view):
# type: (Union[ResourceView,Dict,str]) -> None
"""Delete a resource view from the resource and HDX
Args:
resource_view (Union[ResourceView,Dict,str]): Either a resource view id or resource view metadata either from a ResourceView object... | Delete a resource view from the resource and HDX
Args:
resource_view (Union[ResourceView,Dict,str]): Either a resource view id or resource view metadata either from a ResourceView object or a dictionary
Returns:
None | entailment |
def parse_for_simple_stems(output, skip_empty=False, skip_same_stems=True):
"""
Parses the output stem lines to produce a list with possible stems
for each word in the output.
:param skip_empty: set True to skip lines without stems (default is False)
:returns: a list of tuples, each containing an o... | Parses the output stem lines to produce a list with possible stems
for each word in the output.
:param skip_empty: set True to skip lines without stems (default is False)
:returns: a list of tuples, each containing an original text word and
a list of stems for the given word | entailment |
def _CreateClassTemplate(cls, data_type_definition):
"""Creates the class template.
Args:
data_type_definition (DataTypeDefinition): data type definition.
Returns:
str: class template.
"""
type_name = data_type_definition.name
type_description = data_type_definition.description or... | Creates the class template.
Args:
data_type_definition (DataTypeDefinition): data type definition.
Returns:
str: class template. | entailment |
def _IsIdentifier(cls, string):
"""Checks if a string contains an identifier.
Args:
string (str): string to check.
Returns:
bool: True if the string contains an identifier, False otherwise.
"""
return (
string and not string[0].isdigit() and
all(character.isalnum() or c... | Checks if a string contains an identifier.
Args:
string (str): string to check.
Returns:
bool: True if the string contains an identifier, False otherwise. | entailment |
def _ValidateDataTypeDefinition(cls, data_type_definition):
"""Validates the data type definition.
Args:
data_type_definition (DataTypeDefinition): data type definition.
Raises:
ValueError: if the data type definition is not considered valid.
"""
if not cls._IsIdentifier(data_type_defi... | Validates the data type definition.
Args:
data_type_definition (DataTypeDefinition): data type definition.
Raises:
ValueError: if the data type definition is not considered valid. | entailment |
def CreateClass(cls, data_type_definition):
"""Creates a new structure values class.
Args:
data_type_definition (DataTypeDefinition): data type definition.
Returns:
class: structure values class.
"""
cls._ValidateDataTypeDefinition(data_type_definition)
class_definition = cls._Cre... | Creates a new structure values class.
Args:
data_type_definition (DataTypeDefinition): data type definition.
Returns:
class: structure values class. | entailment |
def DeregisterDefinition(self, data_type_definition):
"""Deregisters a data type definition.
The data type definitions are identified based on their lower case name.
Args:
data_type_definition (DataTypeDefinition): data type definition.
Raises:
KeyError: if a data type definition is not s... | Deregisters a data type definition.
The data type definitions are identified based on their lower case name.
Args:
data_type_definition (DataTypeDefinition): data type definition.
Raises:
KeyError: if a data type definition is not set for the corresponding
name. | entailment |
def GetDefinitionByName(self, name):
"""Retrieves a specific data type definition by name.
Args:
name (str): name of the data type definition.
Returns:
DataTypeDefinition: data type definition or None if not available.
"""
lookup_name = name.lower()
if lookup_name not in self._defi... | Retrieves a specific data type definition by name.
Args:
name (str): name of the data type definition.
Returns:
DataTypeDefinition: data type definition or None if not available. | entailment |
def RegisterDefinition(self, data_type_definition):
"""Registers a data type definition.
The data type definitions are identified based on their lower case name.
Args:
data_type_definition (DataTypeDefinition): data type definitions.
Raises:
KeyError: if data type definition is already se... | Registers a data type definition.
The data type definitions are identified based on their lower case name.
Args:
data_type_definition (DataTypeDefinition): data type definitions.
Raises:
KeyError: if data type definition is already set for the corresponding
name. | entailment |
def apply_on_csv_string(rules_str, func):
""" Splits a given string by comma, trims whitespace on the resulting strings and applies a given ```func``` to
each item. """
splitted = rules_str.split(",")
for str in splitted:
func(str.strip()) | Splits a given string by comma, trims whitespace on the resulting strings and applies a given ```func``` to
each item. | entailment |
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