sentence1 stringlengths 52 3.87M | sentence2 stringlengths 1 47.2k | label stringclasses 1
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def gt(min_value, # type: Any
strict=False # type: bool
):
"""
'Greater than' validation_function generator.
Returns a validation_function to check that x >= min_value (strict=False, default) or x > min_value (strict=True)
:param min_value: minimum value for x
:param strict: Boole... | 'Greater than' validation_function generator.
Returns a validation_function to check that x >= min_value (strict=False, default) or x > min_value (strict=True)
:param min_value: minimum value for x
:param strict: Boolean flag to switch between x >= min_value (strict=False) and x > min_value (strict=True)
... | entailment |
def lt(max_value, # type: Any
strict=False # type: bool
):
"""
'Lesser than' validation_function generator.
Returns a validation_function to check that x <= max_value (strict=False, default) or x < max_value (strict=True)
:param max_value: maximum value for x
:param strict: Boolea... | 'Lesser than' validation_function generator.
Returns a validation_function to check that x <= max_value (strict=False, default) or x < max_value (strict=True)
:param max_value: maximum value for x
:param strict: Boolean flag to switch between x <= max_value (strict=False) and x < max_value (strict=True)
... | entailment |
def between(min_val, # type: Any
max_val, # type: Any
open_left=False, # type: bool
open_right=False # type: bool
):
"""
'Is between' validation_function generator.
Returns a validation_function to check that min_val <= x <= max_val (defaul... | 'Is between' validation_function generator.
Returns a validation_function to check that min_val <= x <= max_val (default). open_right and open_left flags allow
to transform each side into strict mode. For example setting open_left=True will enforce min_val < x <= max_val
:param min_val: minimum value for x... | entailment |
def _sub_process_main(started_event: Event,
channel_name: str,
connection: Connection,
consumer_configuration: BrightsideConsumerConfiguration,
consumer_factory: Callable[[Connection, BrightsideConsumerConfiguration, logging.Logger]... | This is the main method for the sub=process, everything we need to create the message pump and
channel it needs to be passed in as parameters that can be pickled as when we run they will be serialized
into this process. The data should be value types, not reference types as we will receive a copy of the origina... | entailment |
def run_migrations_offline():
"""Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the g... | Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the given string to the
script output. | entailment |
def run_migrations_online():
"""Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context.
"""
app_conf = dci_config.generate_conf()
connectable = dci_config.get_engine(app_conf)
with connectable.connect() as connection:
... | Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context. | entailment |
def reject():
"""Sends a 401 reject response that enables basic auth."""
auth_message = ('Could not verify your access level for that URL.'
'Please login with proper credentials.')
auth_message = json.dumps({'_status': 'Unauthorized',
'message': auth_messa... | Sends a 401 reject response that enables basic auth. | entailment |
def modify(self, **kwargs):
"""Modify a contact.
Returns status message
Optional Parameters:
* name -- Contact name
Type: String
* email -- Contact email address
Type: String
* cellphone -- Cellphone number, without... | Modify a contact.
Returns status message
Optional Parameters:
* name -- Contact name
Type: String
* email -- Contact email address
Type: String
* cellphone -- Cellphone number, without the country code part. In
... | entailment |
def _establish_connection(self, conn: BrokerConnection) -> None:
"""
We don't use a pool here. We only have one consumer connection per process, so
we get no value from a pool, and we want to use a heartbeat to keep the consumer
collection alive, which does not work with a pool
:... | We don't use a pool here. We only have one consumer connection per process, so
we get no value from a pool, and we want to use a heartbeat to keep the consumer
collection alive, which does not work with a pool
:return: the connection to the transport | entailment |
def run_heartbeat_continuously(self) -> threading.Event:
"""
For a long runing handler, there is a danger that we do not send a heartbeat message or activity on the
connection whilst we are running the handler. With a default heartbeat of 30s, for example, there is a risk
that a handler ... | For a long runing handler, there is a danger that we do not send a heartbeat message or activity on the
connection whilst we are running the handler. With a default heartbeat of 30s, for example, there is a risk
that a handler which takes more than 15s will fail to send the heartbeat in time and then th... | entailment |
def _check(user, topic):
"""If the topic has it's export_control set to True then all the teams
under the product team can access to the topic's resources.
:param user:
:param topic:
:return: True if check is ok, False otherwise
"""
# if export_control then check the team is associated to t... | If the topic has it's export_control set to True then all the teams
under the product team can access to the topic's resources.
:param user:
:param topic:
:return: True if check is ok, False otherwise | entailment |
def get_stream_or_content_from_request(request):
"""Ensure the proper content is uploaded.
Stream might be already consumed by authentication process.
Hence flask.request.stream might not be readable and return improper value.
This methods checks if the stream has already been consumed and if so
r... | Ensure the proper content is uploaded.
Stream might be already consumed by authentication process.
Hence flask.request.stream might not be readable and return improper value.
This methods checks if the stream has already been consumed and if so
retrieve the data from flask.request.data where it has be... | entailment |
def xpath_on_node(self, node, xpath, **kwargs):
"""
Return result of performing the given XPath query on the given node.
All known namespace prefix-to-URI mappings in the document are
automatically included in the XPath invocation.
If an empty/default namespace (i.e. None) is d... | Return result of performing the given XPath query on the given node.
All known namespace prefix-to-URI mappings in the document are
automatically included in the XPath invocation.
If an empty/default namespace (i.e. None) is defined, this is
converted to the prefix name '_' so it can b... | entailment |
def _is_ns_in_ancestor(self, node, name, value):
"""
Return True if the given namespace name/value is defined in an
ancestor of the given node, meaning that the given node need not
have its own attributes to apply that namespacing.
"""
curr_node = self.get_node_parent(nod... | Return True if the given namespace name/value is defined in an
ancestor of the given node, meaning that the given node need not
have its own attributes to apply that namespacing. | entailment |
def generic_annotate(qs_model, generic_qs_model, aggregator, gfk_field=None, alias='score'):
"""
Find blog entries with the most comments:
qs = generic_annotate(Entry.objects.public(), Comment.objects.public(), Count('comments__id'))
for entry in qs:
print entry.title, entry.sco... | Find blog entries with the most comments:
qs = generic_annotate(Entry.objects.public(), Comment.objects.public(), Count('comments__id'))
for entry in qs:
print entry.title, entry.score
Find the highest rated foods:
generic_annotate(Food, Rating, Avg('ratings__ratin... | entailment |
def generic_aggregate(qs_model, generic_qs_model, aggregator, gfk_field=None):
"""
Find total number of comments on blog entries:
generic_aggregate(Entry.objects.public(), Comment.objects.public(), Count('comments__id'))
Find the average rating for foods starting with 'a':
a_f... | Find total number of comments on blog entries:
generic_aggregate(Entry.objects.public(), Comment.objects.public(), Count('comments__id'))
Find the average rating for foods starting with 'a':
a_foods = Food.objects.filter(name__startswith='a')
generic_aggregate(a_foods, Rating,... | entailment |
def generic_filter(generic_qs_model, filter_qs_model, gfk_field=None):
"""
Only show me ratings made on foods that start with "a":
a_foods = Food.objects.filter(name__startswith='a')
generic_filter(Rating.objects.all(), a_foods)
Only show me comments from entries that are marked as... | Only show me ratings made on foods that start with "a":
a_foods = Food.objects.filter(name__startswith='a')
generic_filter(Rating.objects.all(), a_foods)
Only show me comments from entries that are marked as public:
generic_filter(Comment.objects.public(), Entry.objects.public... | entailment |
def gen_etag():
"""Generate random etag based on MD5."""
my_salt = gen_uuid()
if six.PY2:
my_salt = my_salt.decode('utf-8')
elif six.PY3:
my_salt = my_salt.encode('utf-8')
md5 = hashlib.md5()
md5.update(my_salt)
return md5.hexdigest() | Generate random etag based on MD5. | entailment |
def delete(self):
"""Delete this email report"""
response = self.pingdom.request('DELETE',
'reports.shared/%s' % self.id)
return response.json()['message'] | Delete this email report | entailment |
def is_multiple_of(ref):
""" Validates that x is a multiple of the reference (`x % ref == 0`) """
def is_multiple_of_ref(x):
if x % ref == 0:
return True
else:
raise IsNotMultipleOf(wrong_value=x, ref=ref)
# raise Failure('x % {ref} == 0 does not hold for x={v... | Validates that x is a multiple of the reference (`x % ref == 0`) | entailment |
def get_all_components(user, topic_id):
"""Get all components of a topic."""
args = schemas.args(flask.request.args.to_dict())
query = v1_utils.QueryBuilder(_TABLE, args, _C_COLUMNS)
query.add_extra_condition(sql.and_(
_TABLE.c.topic_id == topic_id,
_TABLE.c.state != 'archived'))
... | Get all components of a topic. | entailment |
def get_component_types_from_topic(topic_id, db_conn=None):
"""Returns the component types of a topic."""
db_conn = db_conn or flask.g.db_conn
query = sql.select([models.TOPICS]).\
where(models.TOPICS.c.id == topic_id)
topic = db_conn.execute(query).fetchone()
topic = dict(topic)
return ... | Returns the component types of a topic. | entailment |
def get_component_types(topic_id, remoteci_id, db_conn=None):
"""Returns either the topic component types or the rconfigration's
component types."""
db_conn = db_conn or flask.g.db_conn
rconfiguration = remotecis.get_remoteci_configuration(topic_id,
... | Returns either the topic component types or the rconfigration's
component types. | entailment |
def get_last_components_by_type(component_types, topic_id, db_conn=None):
"""For each component type of a topic, get the last one."""
db_conn = db_conn or flask.g.db_conn
schedule_components_ids = []
for ct in component_types:
where_clause = sql.and_(models.COMPONENTS.c.type == ct,
... | For each component type of a topic, get the last one. | entailment |
def verify_and_get_components_ids(topic_id, components_ids, component_types,
db_conn=None):
"""Process some verifications of the provided components ids."""
db_conn = db_conn or flask.g.db_conn
if len(components_ids) != len(component_types):
msg = 'The number of com... | Process some verifications of the provided components ids. | entailment |
def retrieve_tags_from_component(user, c_id):
"""Retrieve all tags attached to a component."""
JCT = models.JOIN_COMPONENTS_TAGS
query = (sql.select([models.TAGS])
.select_from(JCT.join(models.TAGS))
.where(JCT.c.component_id == c_id))
rows = flask.g.db_conn.execute(query)
... | Retrieve all tags attached to a component. | entailment |
def add_tag_for_component(user, c_id):
"""Add a tag on a specific component."""
v1_utils.verify_existence_and_get(c_id, _TABLE)
values = {
'component_id': c_id
}
component_tagged = tags.add_tag_to_resource(values,
models.JOIN_COMPONENTS_TAGS... | Add a tag on a specific component. | entailment |
def delete_tag_for_component(user, c_id, tag_id):
"""Delete a tag on a specific component."""
# Todo : check c_id and tag_id exist in db
query = _TABLE_TAGS.delete().where(_TABLE_TAGS.c.tag_id == tag_id and
_TABLE_TAGS.c.component_id == c_id)
try:
flask.g... | Delete a tag on a specific component. | entailment |
def should_be_hidden_as_cause(exc):
""" Used everywhere to decide if some exception type should be displayed or hidden as the casue of an error """
# reduced traceback in case of HasWrongType (instance_of checks)
from valid8.validation_lib.types import HasWrongType, IsWrongType
return isinstance(exc, (H... | Used everywhere to decide if some exception type should be displayed or hidden as the casue of an error | entailment |
def is_error_of_type(exc, ref_type):
"""
Helper function to determine if some exception is of some type, by also looking at its declared __cause__
:param exc:
:param ref_type:
:return:
"""
if isinstance(exc, ref_type):
return True
elif hasattr(exc, '__cause__') and exc.__cause__... | Helper function to determine if some exception is of some type, by also looking at its declared __cause__
:param exc:
:param ref_type:
:return: | entailment |
def _failure_raiser(validation_callable, # type: Callable
failure_type=None, # type: Type[WrappingFailure]
help_msg=None, # type: str
**kw_context_args):
# type: (...) -> Callable
"""
Wraps the provided validation function so that in ... | Wraps the provided validation function so that in case of failure it raises the given failure_type or a WrappingFailure
with the given help message.
:param validation_callable:
:param failure_type: an optional subclass of `WrappingFailure` that should be raised in case of failure, instead of
`WrappingF... | entailment |
def _none_accepter(validation_callable # type: Callable
):
# type: (...) -> Callable
"""
Wraps the given validation callable to accept None values silently. When a None value is received by the wrapper,
it is not passed to the validation_callable and instead this function will return... | Wraps the given validation callable to accept None values silently. When a None value is received by the wrapper,
it is not passed to the validation_callable and instead this function will return True. When any other value is
received the validation_callable is called as usual.
Note: the created wrapper ha... | entailment |
def _none_rejecter(validation_callable # type: Callable
):
# type: (...) -> Callable
"""
Wraps the given validation callable to reject None values. When a None value is received by the wrapper,
it is not passed to the validation_callable and instead this function will raise a Wrappin... | Wraps the given validation callable to reject None values. When a None value is received by the wrapper,
it is not passed to the validation_callable and instead this function will raise a WrappingFailure. When any other value is
received the validation_callable is called as usual.
:param validation_callabl... | entailment |
def get_help_msg(self,
dotspace_ending=False, # type: bool
**kwargs):
# type: (...) -> str
"""
The method used to get the formatted help message according to kwargs. By default it returns the 'help_msg'
attribute, whether it is defined at the in... | The method used to get the formatted help message according to kwargs. By default it returns the 'help_msg'
attribute, whether it is defined at the instance level or at the class level.
The help message is formatted according to help_msg.format(**kwargs), and may be terminated with a dot
and a ... | entailment |
def get_details(self):
""" The function called to get the details appended to the help message when self.append_details is True """
strval = str(self.wrong_value)
if len(strval) > self.__max_str_length_displayed__:
return '(Actual value is too big to be printed in this message)'
... | The function called to get the details appended to the help message when self.append_details is True | entailment |
def get_details(self):
""" Overrides the method in Failure so as to add a few details about the wrapped function and outcome """
if isinstance(self.validation_outcome, Exception):
if isinstance(self.validation_outcome, Failure):
# do not say again what was the value, it is a... | Overrides the method in Failure so as to add a few details about the wrapped function and outcome | entailment |
def get_context_for_help_msgs(self, context_dict):
""" We override this method from HelpMsgMixIn to replace wrapped_func with its name """
context_dict = copy(context_dict)
context_dict['wrapped_func'] = get_callable_name(context_dict['wrapped_func'])
return context_dict | We override this method from HelpMsgMixIn to replace wrapped_func with its name | entailment |
def validate_field(cls,
field_name,
*validation_func, # type: ValidationFuncs
**kwargs):
# type: (...) -> Callable
"""
A class decorator. It goes through all class variables and for all of those that are descriptors with a __set__,
it wraps the d... | A class decorator. It goes through all class variables and for all of those that are descriptors with a __set__,
it wraps the descriptors' setter function with a `validate_arg` annotation
:param field_name:
:param validation_func:
:param help_msg:
:param error_type:
:param none_policy:
:par... | entailment |
def validate_io(f=DECORATED,
none_policy=None, # type: int
_out_=None, # type: ValidationFuncs
**kw_validation_funcs # type: ValidationFuncs
):
"""
A function decorator to add input validation prior to the function execution. It sh... | A function decorator to add input validation prior to the function execution. It should be called with named
arguments: for each function arg name, provide a single validation function or a list of validation functions to
apply. If validation fails, it will raise an InputValidationError with details about the f... | entailment |
def validate_arg(f,
arg_name,
*validation_func, # type: ValidationFuncs
**kwargs
):
# type: (...) -> Callable
"""
A decorator to apply function input validation for the given argument name, with the provided base validation
function(s)... | A decorator to apply function input validation for the given argument name, with the provided base validation
function(s). You may use several such decorators on a given function as long as they are stacked on top of each
other (no external decorator in the middle)
:param arg_name:
:param validation_fu... | entailment |
def validate_out(*validation_func, # type: ValidationFuncs
**kwargs):
# type: (...) -> Callable
"""
A decorator to apply function output validation to this function's output, with the provided base validation
function(s). You may use several such decorators on a given function as long ... | A decorator to apply function output validation to this function's output, with the provided base validation
function(s). You may use several such decorators on a given function as long as they are stacked on top of each
other (no external decorator in the middle)
:param validation_func: the base validatio... | entailment |
def decorate_cls_with_validation(cls,
field_name, # type: str
*validation_func, # type: ValidationFuncs
**kwargs):
# type: (...) -> Type[Any]
"""
This method is equivalent to decorating a class with th... | This method is equivalent to decorating a class with the `@validate_field` decorator but can be used a posteriori.
:param cls: the class to decorate
:param field_name: the name of the argument to validate or _OUT_KEY for output validation
:param validation_func: the validation function or
list of v... | entailment |
def decorate_several_with_validation(func,
_out_=None, # type: ValidationFuncs
none_policy=None, # type: int
**validation_funcs # type: ValidationFuncs
):
# ... | This method is equivalent to applying `decorate_with_validation` once for each of the provided arguments of
the function `func` as well as output `_out_`. validation_funcs keyword arguments are validation functions for each
arg name.
Note that this method is less flexible than decorate_with_validation sinc... | entailment |
def decorate_with_validation(func,
arg_name, # type: str
*validation_func, # type: ValidationFuncs
**kwargs):
# type: (...) -> Callable
"""
This method is the inner method used in `@validate_io`, `@validate_arg`... | This method is the inner method used in `@validate_io`, `@validate_arg` and `@validate_out`.
It can be used if you with to perform decoration manually without a decorator.
:param func:
:param arg_name: the name of the argument to validate or _OUT_KEY for output validation
:param validation_func: the va... | entailment |
def _get_final_none_policy_for_validator(is_nonable, # type: bool
none_policy # type: NoneArgPolicy
):
"""
Depending on none_policy and of the fact that the target parameter is nonable or not, returns a corresponding
NoneP... | Depending on none_policy and of the fact that the target parameter is nonable or not, returns a corresponding
NonePolicy
:param is_nonable:
:param none_policy:
:return: | entailment |
def decorate_with_validators(func,
func_signature=None, # type: Signature
**validators # type: Validator
):
"""
Utility method to decorate the provided function with the provided input and output Validator objects. ... | Utility method to decorate the provided function with the provided input and output Validator objects. Since this
method takes Validator objects as argument, it is for advanced users.
:param func: the function to decorate. It might already be decorated, this method will check it and wont create
another wra... | entailment |
def _assert_input_is_valid(input_value, # type: Any
validators, # type: List[InputValidator]
validated_func, # type: Callable
input_name # type: str
):
"""
Called by the `validating_wrappe... | Called by the `validating_wrapper` in the first step (a) `apply_on_each_func_args` for each function input before
executing the function. It simply delegates to the validator. The signature of this function is hardcoded to
correspond to `apply_on_each_func_args`'s behaviour and should therefore not be changed.
... | entailment |
def get_what_txt(self):
"""
Overrides the base behaviour defined in ValidationError in order to add details about the function.
:return:
"""
return 'input [{var}] for function [{func}]'.format(var=self.get_variable_str(),
... | Overrides the base behaviour defined in ValidationError in order to add details about the function.
:return: | entailment |
def get_what_txt(self):
"""
Overrides the base behaviour defined in ValidationError in order to add details about the class field.
:return:
"""
return 'field [{field}] for class [{clazz}]'.format(field=self.get_variable_str(),
... | Overrides the base behaviour defined in ValidationError in order to add details about the class field.
:return: | entailment |
def generate_nonce_timestamp():
""" Generate unique nonce with counter, uuid and rng."""
global count
rng = botan.rng().get(30)
uuid4 = uuid.uuid4().bytes # 16 byte
tmpnonce = (bytes(str(count).encode('utf-8'))) + uuid4 + rng
nonce = tmpnonce[:41] # 41 byte (328 bit)
count += 1
return ... | Generate unique nonce with counter, uuid and rng. | entailment |
def dict_merge(*dict_list):
"""recursively merges dict's. not just simple a['key'] = b['key'], if
both a and bhave a key who's value is a dict then dict_merge is called
on both values and the result stored in the returned dictionary.
"""
result = collections.defaultdict(dict)
dicts_items = itert... | recursively merges dict's. not just simple a['key'] = b['key'], if
both a and bhave a key who's value is a dict then dict_merge is called
on both values and the result stored in the returned dictionary. | entailment |
def schedule_jobs(user):
"""Dispatch jobs to remotecis.
The remoteci can use this method to request a new job.
Before a job is dispatched, the server will flag as 'killed' all the
running jobs that were associated with the remoteci. This is because they
will never be finished.
"""
values ... | Dispatch jobs to remotecis.
The remoteci can use this method to request a new job.
Before a job is dispatched, the server will flag as 'killed' all the
running jobs that were associated with the remoteci. This is because they
will never be finished. | entailment |
def create_new_update_job_from_an_existing_job(user, job_id):
"""Create a new job in the same topic as the job_id provided and
associate the latest components of this topic."""
values = {
'id': utils.gen_uuid(),
'created_at': datetime.datetime.utcnow().isoformat(),
'updated_at': dat... | Create a new job in the same topic as the job_id provided and
associate the latest components of this topic. | entailment |
def create_new_upgrade_job_from_an_existing_job(user):
"""Create a new job in the 'next topic' of the topic of
the provided job_id."""
values = schemas.job_upgrade.post(flask.request.json)
values.update({
'id': utils.gen_uuid(),
'created_at': datetime.datetime.utcnow().isoformat(),
... | Create a new job in the 'next topic' of the topic of
the provided job_id. | entailment |
def get_all_jobs(user, topic_id=None):
"""Get all jobs.
If topic_id is not None, then return all the jobs with a topic
pointed by topic_id.
"""
# get the diverse parameters
args = schemas.args(flask.request.args.to_dict())
# build the query thanks to the QueryBuilder class
query = v1_u... | Get all jobs.
If topic_id is not None, then return all the jobs with a topic
pointed by topic_id. | entailment |
def update_job_by_id(user, job_id):
"""Update a job
"""
# get If-Match header
if_match_etag = utils.check_and_get_etag(flask.request.headers)
# get the diverse parameters
values = schemas.job.put(flask.request.json)
job = v1_utils.verify_existence_and_get(job_id, _TABLE)
job = dict(job... | Update a job | entailment |
def get_all_results_from_jobs(user, j_id):
"""Get all results from job.
"""
job = v1_utils.verify_existence_and_get(j_id, _TABLE)
if not user.is_in_team(job['team_id']) and not user.is_read_only_user():
raise dci_exc.Unauthorized()
# get testscases from tests_results
query = sql.selec... | Get all results from job. | entailment |
def get_tags_from_job(user, job_id):
"""Retrieve all tags attached to a job."""
job = v1_utils.verify_existence_and_get(job_id, _TABLE)
if not user.is_in_team(job['team_id']) and not user.is_read_only_user():
raise dci_exc.Unauthorized()
JTT = models.JOIN_JOBS_TAGS
query = (sql.select([mod... | Retrieve all tags attached to a job. | entailment |
def add_tag_to_job(user, job_id):
"""Add a tag to a job."""
job = v1_utils.verify_existence_and_get(job_id, _TABLE)
if not user.is_in_team(job['team_id']):
raise dci_exc.Unauthorized()
values = {
'job_id': job_id
}
job_tagged = tags.add_tag_to_resource(values, models.JOIN_JOBS... | Add a tag to a job. | entailment |
def delete_tag_from_job(user, job_id, tag_id):
"""Delete a tag from a job."""
_JJT = models.JOIN_JOBS_TAGS
job = v1_utils.verify_existence_and_get(job_id, _TABLE)
if not user.is_in_team(job['team_id']):
raise dci_exc.Unauthorized()
v1_utils.verify_existence_and_get(tag_id, models.TAGS)
... | Delete a tag from a job. | entailment |
def _lookup_node_parent(self, node):
"""
Return the parent of the given node, based on an internal dictionary
mapping of child nodes to the child's parent required since
ElementTree doesn't make info about node ancestry/parentage available.
"""
# Basic caching of our inte... | Return the parent of the given node, based on an internal dictionary
mapping of child nodes to the child's parent required since
ElementTree doesn't make info about node ancestry/parentage available. | entailment |
def _is_node_an_element(self, node):
"""
Return True if the given node is an ElementTree Element, a fact that
can be tricky to determine if the cElementTree implementation is
used.
"""
# Try the simplest approach first, works for plain old ElementTree
if isinstanc... | Return True if the given node is an ElementTree Element, a fact that
can be tricky to determine if the cElementTree implementation is
used. | entailment |
def xpath_on_node(self, node, xpath, **kwargs):
"""
Return result of performing the given XPath query on the given node.
All known namespace prefix-to-URI mappings in the document are
automatically included in the XPath invocation.
If an empty/default namespace (i.e. None) is d... | Return result of performing the given XPath query on the given node.
All known namespace prefix-to-URI mappings in the document are
automatically included in the XPath invocation.
If an empty/default namespace (i.e. None) is defined, this is
converted to the prefix name '_' so it can b... | entailment |
def get_to_purge_archived_resources(user, table):
"""List the entries to be purged from the database. """
if user.is_not_super_admin():
raise dci_exc.Unauthorized()
archived_resources = get_archived_resources(table)
return flask.jsonify({table.name: archived_resources,
... | List the entries to be purged from the database. | entailment |
def purge_archived_resources(user, table):
"""Remove the entries to be purged from the database. """
if user.is_not_super_admin():
raise dci_exc.Unauthorized()
where_clause = sql.and_(
table.c.state == 'archived'
)
query = table.delete().where(where_clause)
flask.g.db_conn.exec... | Remove the entries to be purged from the database. | entailment |
def refresh_api_secret(user, resource, table):
"""Refresh the resource API Secret. """
resource_name = table.name[0:-1]
where_clause = sql.and_(
table.c.etag == resource['etag'],
table.c.id == resource['id'],
)
values = {
'api_secret': signature.gen_secret(),
'etag... | Refresh the resource API Secret. | entailment |
def npm(package_json, output_file, pinned_file):
"""Generate a package.json file."""
amd_build_deprecation_warning()
try:
version = get_distribution(current_app.name).version
except DistributionNotFound:
version = ''
output = {
'name': current_app.name,
'version': ma... | Generate a package.json file. | entailment |
def getAnalyses(self, **kwargs):
"""Returns a list of the latest root cause analysis results for a
specified check.
Optional Parameters:
* limit -- Limits the number of returned results to the
specified quantity.
Type: Integer
... | Returns a list of the latest root cause analysis results for a
specified check.
Optional Parameters:
* limit -- Limits the number of returned results to the
specified quantity.
Type: Integer
Default: 100
* offset -- O... | entailment |
def getDetails(self):
"""Update check details, returns dictionary of details"""
response = self.pingdom.request('GET', 'checks/%s' % self.id)
self.__addDetails__(response.json()['check'])
return response.json()['check'] | Update check details, returns dictionary of details | entailment |
def modify(self, **kwargs):
"""Modify settings for a check. The provided settings will overwrite
previous values. Settings not provided will stay the same as before
the update. To clear an existing value, provide an empty value.
Please note that you cannot change the type of ... | Modify settings for a check. The provided settings will overwrite
previous values. Settings not provided will stay the same as before
the update. To clear an existing value, provide an empty value.
Please note that you cannot change the type of a check once it has
been cr... | entailment |
def averages(self, **kwargs):
"""Get the average time / uptime value for a specified check and time
period.
Optional parameters:
* time_from -- Start time of period. Format is UNIX timestamp
Type: Integer
Default: 0
* time_to... | Get the average time / uptime value for a specified check and time
period.
Optional parameters:
* time_from -- Start time of period. Format is UNIX timestamp
Type: Integer
Default: 0
* time_to -- End time of period. Format is UNIX ti... | entailment |
def probes(self, fromtime, totime=None):
"""Get a list of probes that performed tests for a specified check
during a specified period."""
args = {'from': fromtime}
if totime:
args['to'] = totime
response = self.pingdom.request('GET', 'summary.probes/%s' % self.i... | Get a list of probes that performed tests for a specified check
during a specified period. | entailment |
def publishPublicReport(self):
"""Activate public report for this check.
Returns status message"""
response = self.pingdom.request('PUT', 'reports.public/%s' % self.id)
return response.json()['message'] | Activate public report for this check.
Returns status message | entailment |
def removePublicReport(self):
"""Deactivate public report for this check.
Returns status message"""
response = self.pingdom.request('DELETE',
'reports.public/%s' % self.id)
return response.json()['message'] | Deactivate public report for this check.
Returns status message | entailment |
def extract_deps(bundles, log=None):
"""Extract the dependencies from the bundle and its sub-bundles."""
def _flatten(bundle):
deps = []
if hasattr(bundle, 'npm'):
deps.append(bundle.npm)
for content in bundle.contents:
if isinstance(content, BundleBase):
... | Extract the dependencies from the bundle and its sub-bundles. | entailment |
def make_semver(version_str):
"""Make a semantic version from Python PEP440 version.
Semantic versions does not handle post-releases.
"""
v = parse_version(version_str)
major = v._version.release[0]
try:
minor = v._version.release[1]
except IndexError:
minor = 0
try:
... | Make a semantic version from Python PEP440 version.
Semantic versions does not handle post-releases. | entailment |
def get_max_size(pool, num_option, item_length):
"""
Calculate the max number of item that an option can stored in the pool at give time.
This is to limit the pool size to POOL_SIZE
Args:
option_index (int): the index of the option to calculate the size for
pool (dict): answer pool
... | Calculate the max number of item that an option can stored in the pool at give time.
This is to limit the pool size to POOL_SIZE
Args:
option_index (int): the index of the option to calculate the size for
pool (dict): answer pool
num_option (int): total number of options available for ... | entailment |
def offer_answer(pool, answer, rationale, student_id, algo, options):
"""
submit a student answer to the answer pool
The answer maybe selected to stay in the pool depending on the selection algorithm
Args:
pool (dict): answer pool
Answer pool format:
{
o... | submit a student answer to the answer pool
The answer maybe selected to stay in the pool depending on the selection algorithm
Args:
pool (dict): answer pool
Answer pool format:
{
option1_index: {
'student_id': { can store algorithm specific i... | entailment |
def offer_simple(pool, answer, rationale, student_id, options):
"""
The simple selection algorithm.
This algorithm randomly select an answer from the pool to discard and add the new one when the pool reaches
the limit
"""
existing = pool.setdefault(answer, {})
if len(existing) >= get_max_si... | The simple selection algorithm.
This algorithm randomly select an answer from the pool to discard and add the new one when the pool reaches
the limit | entailment |
def offer_random(pool, answer, rationale, student_id, options):
"""
The random selection algorithm. The same as simple algorithm
"""
offer_simple(pool, answer, rationale, student_id, options) | The random selection algorithm. The same as simple algorithm | entailment |
def validate_seeded_answers_simple(answers, options, algo):
"""
This validator checks if the answers includes all possible options
Args:
answers (str): the answers to be checked
options (dict): all options that should exist in the answers
algo (str): selection algorithm
Returns... | This validator checks if the answers includes all possible options
Args:
answers (str): the answers to be checked
options (dict): all options that should exist in the answers
algo (str): selection algorithm
Returns:
None if everything is good. Otherwise, the missing option erro... | entailment |
def validate_seeded_answers(answers, options, algo):
"""
Validate answers based on selection algorithm
This is called when instructor setup the tool and providing seeded answers to the question.
This function is trying to validate if instructor provided enough seeds for a give algorithm.
e.g. we re... | Validate answers based on selection algorithm
This is called when instructor setup the tool and providing seeded answers to the question.
This function is trying to validate if instructor provided enough seeds for a give algorithm.
e.g. we require 1 seed for each option in simple algorithm and at least 1 s... | entailment |
def get_other_answers(pool, seeded_answers, get_student_item_dict, algo, options):
"""
Select other student's answers from answer pool or seeded answers based on the selection algorithm
Args:
pool (dict): answer pool, format:
{
option1_index: {
studen... | Select other student's answers from answer pool or seeded answers based on the selection algorithm
Args:
pool (dict): answer pool, format:
{
option1_index: {
student_id: { can store algorithm specific info here }
},
option2_ind... | entailment |
def get_other_answers_simple(pool, seeded_answers, get_student_item_dict, num_responses):
"""
Get answers from others with simple algorithm, which picks one answer for each option.
Args:
see `get_other_answers`
num_responses (int): the number of responses to be returned. This value may not ... | Get answers from others with simple algorithm, which picks one answer for each option.
Args:
see `get_other_answers`
num_responses (int): the number of responses to be returned. This value may not be
respected if there is not enough answers to return
Returns:
dict: answers ... | entailment |
def get_other_answers_random(pool, seeded_answers, get_student_item_dict, num_responses):
"""
Get answers from others with random algorithm, which randomly select answer from the pool.
Student may get three answers for option 1 or one answer for option 1 and two answers for option 2.
Args:
see... | Get answers from others with random algorithm, which randomly select answer from the pool.
Student may get three answers for option 1 or one answer for option 1 and two answers for option 2.
Args:
see `get_other_answers`
num_responses (int): the number of responses to be returned. This value m... | entailment |
def convert_seeded_answers(answers):
"""
Convert seeded answers into the format that can be merged into student answers.
Args:
answers (list): seeded answers
Returns:
dict: seeded answers with student answers format:
{
0: {
'seeded0': 'ra... | Convert seeded answers into the format that can be merged into student answers.
Args:
answers (list): seeded answers
Returns:
dict: seeded answers with student answers format:
{
0: {
'seeded0': 'rationaleA'
}
1: {
... | entailment |
def upgradeProcessor1to2(oldProcessor):
"""
Batch processors stopped polling at version 2, so they no longer needed the
idleInterval attribute. They also gained a scheduled attribute which
tracks their interaction with the scheduler. Since they stopped polling,
we also set them up as a timed event... | Batch processors stopped polling at version 2, so they no longer needed the
idleInterval attribute. They also gained a scheduled attribute which
tracks their interaction with the scheduler. Since they stopped polling,
we also set them up as a timed event here to make sure that they don't
silently disa... | entailment |
def processor(forType):
"""
Create an Axiom Item type which is suitable to use as a batch processor for
the given Axiom Item type.
Processors created this way depend on a L{iaxiom.IScheduler} powerup on the
on which store they are installed.
@type forType: L{item.MetaItem}
@param forType: ... | Create an Axiom Item type which is suitable to use as a batch processor for
the given Axiom Item type.
Processors created this way depend on a L{iaxiom.IScheduler} powerup on the
on which store they are installed.
@type forType: L{item.MetaItem}
@param forType: The Axiom Item type for which to cre... | entailment |
def storeBatchServiceSpecialCase(st, pups):
"""
Adapt a L{Store} to L{IBatchService}.
If C{st} is a substore, return a simple wrapper that delegates to the site
store's L{IBatchService} powerup. Return C{None} if C{st} has no
L{BatchProcessingControllerService}.
"""
if st.parent is not Non... | Adapt a L{Store} to L{IBatchService}.
If C{st} is a substore, return a simple wrapper that delegates to the site
store's L{IBatchService} powerup. Return C{None} if C{st} has no
L{BatchProcessingControllerService}. | entailment |
def mark(self):
"""
Mark the unit of work as failed in the database and update the listener
so as to skip it next time.
"""
self.reliableListener.lastRun = extime.Time()
BatchProcessingError(
store=self.reliableListener.store,
processor=self.reliab... | Mark the unit of work as failed in the database and update the listener
so as to skip it next time. | entailment |
def run(self):
"""
Try to run one unit of work through one listener. If there are more
listeners or more work, reschedule this item to be run again in
C{self.busyInterval} milliseconds, otherwise unschedule it.
@rtype: L{extime.Time} or C{None}
@return: The next time at... | Try to run one unit of work through one listener. If there are more
listeners or more work, reschedule this item to be run again in
C{self.busyInterval} milliseconds, otherwise unschedule it.
@rtype: L{extime.Time} or C{None}
@return: The next time at which to run this item, used by th... | entailment |
def addReliableListener(self, listener, style=iaxiom.LOCAL):
"""
Add the given Item to the set which will be notified of Items
available for processing.
Note: Each Item is processed synchronously. Adding too many
listeners to a single batch processor will cause the L{step}
... | Add the given Item to the set which will be notified of Items
available for processing.
Note: Each Item is processed synchronously. Adding too many
listeners to a single batch processor will cause the L{step}
method to block while it sends notification to each listener.
@param... | entailment |
def removeReliableListener(self, listener):
"""
Remove a previously added listener.
"""
self.store.query(_ReliableListener,
attributes.AND(_ReliableListener.processor == self,
_ReliableListener.listener == listener)).delete... | Remove a previously added listener. | entailment |
def getReliableListeners(self):
"""
Return an iterable of the listeners which have been added to
this batch processor.
"""
for rellist in self.store.query(_ReliableListener, _ReliableListener.processor == self):
yield rellist.listener | Return an iterable of the listeners which have been added to
this batch processor. | entailment |
def getFailedItems(self):
"""
Return an iterable of two-tuples of listeners which raised an
exception from C{processItem} and the item which was passed as
the argument to that method.
"""
for failed in self.store.query(BatchProcessingError, BatchProcessingError.processor ... | Return an iterable of two-tuples of listeners which raised an
exception from C{processItem} and the item which was passed as
the argument to that method. | entailment |
def itemAdded(self):
"""
Called to indicate that a new item of the type monitored by this batch
processor is being added to the database.
If this processor is not already scheduled to run, this will schedule
it. It will also start the batch process if it is not yet running and
... | Called to indicate that a new item of the type monitored by this batch
processor is being added to the database.
If this processor is not already scheduled to run, this will schedule
it. It will also start the batch process if it is not yet running and
there are any registered remote l... | entailment |
def call(self, itemMethod):
"""
Invoke the given bound item method in the batch process.
Return a Deferred which fires when the method has been invoked.
"""
item = itemMethod.im_self
method = itemMethod.im_func.func_name
return self.batchController.getProcess().a... | Invoke the given bound item method in the batch process.
Return a Deferred which fires when the method has been invoked. | entailment |
def processWhileRunning(self):
"""
Run tasks until stopService is called.
"""
work = self.step()
for result, more in work:
yield result
if not self.running:
break
if more:
delay = 0.1
else:
... | Run tasks until stopService is called. | entailment |
def getcols(sheetMatch=None,colMatch="Decay"):
"""find every column in every sheet and put it in a new sheet or book."""
book=BOOK()
if sheetMatch is None:
matchingSheets=book.sheetNames
print('all %d sheets selected '%(len(matchingSheets)))
else:
matchingSheets=[x for x in book.... | find every column in every sheet and put it in a new sheet or book. | entailment |
def upgradeStore(self, store):
"""
Recursively upgrade C{store}.
"""
self.upgradeEverything(store)
upgradeExplicitOid(store)
for substore in store.query(SubStore):
print 'Upgrading: {!r}'.format(substore)
self.upgradeStore(substore.open()) | Recursively upgrade C{store}. | entailment |
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