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train | iter_tree | Walks the specified directory for all files.
*root* (:class:`str`) is the root directory to search for files.
*on_error* (:class:`~collections.abc.Callable` or :data:`None`)
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... | pathspec/util.py | def iter_tree(root, on_error=None, follow_links=None):
"""
Walks the specified directory for all files.
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train | _iter_tree_next | Scan the directory for all descendant files.
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*dir_rel* (:class:`str`) the path to the directory to scan relative to
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train | match_file | Matches the file to the patterns.
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*file* (:class:`str`) is the normalized file path to be matched
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train | match_files | Matches the files to the patterns.
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*files* (:class:`~collections.abc.Iterable` of :class:`str`) contains
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train | normalize_file | Normalizes the file path to use the POSIX path separator (i.e., ``'/'``).
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train | normalize_files | Normalizes the file paths to use the POSIX path separator.
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train | register_pattern | Registers the specified pattern factory.
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Registers the specified pattern factory.
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train | RecursionError.message | *message* (:class:`str`) is the error message. | pathspec/util.py | def message(self):
"""
*message* (:class:`str`) is the error message.
"""
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train | Pattern.match | Matches this pattern against the specified files.
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train | SampleCache.user_default_serializer | Convert a User to a cached instance representation. | sample_poll_app/cache.py | def user_default_serializer(self, obj):
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train | SampleCache.user_default_loader | Load a User from the database. | sample_poll_app/cache.py | def user_default_loader(self, pk):
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train | SampleCache.user_default_add_related_pks | Add related primary keys to a User instance. | sample_poll_app/cache.py | def user_default_add_related_pks(self, obj):
"""Add related primary keys to a User instance."""
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train | SampleCache.group_default_invalidator | Invalidated cached items when the Group changes. | sample_poll_app/cache.py | def group_default_invalidator(self, obj):
"""Invalidated cached items when the Group changes."""
user_pks = User.objects.values_list('pk', flat=True)
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train | SampleCache.question_default_serializer | Convert a Question to a cached instance representation. | sample_poll_app/cache.py | def question_default_serializer(self, obj):
"""Convert a Question to a cached instance representation."""
if not obj:
return None
self.question_default_add_related_pks(obj)
return dict((
('id', obj.id),
('question_text', obj.question_text),
... | def question_default_serializer(self, obj):
"""Convert a Question to a cached instance representation."""
if not obj:
return None
self.question_default_add_related_pks(obj)
return dict((
('id', obj.id),
('question_text', obj.question_text),
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train | SampleCache.question_default_loader | Load a Question from the database. | sample_poll_app/cache.py | def question_default_loader(self, pk):
"""Load a Question from the database."""
try:
obj = Question.objects.get(pk=pk)
except Question.DoesNotExist:
return None
else:
self.question_default_add_related_pks(obj)
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"""Load a Question from the database."""
try:
obj = Question.objects.get(pk=pk)
except Question.DoesNotExist:
return None
else:
self.question_default_add_related_pks(obj)
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train | SampleCache.question_default_add_related_pks | Add related primary keys to a Question instance. | sample_poll_app/cache.py | def question_default_add_related_pks(self, obj):
"""Add related primary keys to a Question instance."""
if not hasattr(obj, '_choice_pks'):
obj._choice_pks = list(obj.choices.values_list('pk', flat=True)) | def question_default_add_related_pks(self, obj):
"""Add related primary keys to a Question instance."""
if not hasattr(obj, '_choice_pks'):
obj._choice_pks = list(obj.choices.values_list('pk', flat=True)) | [
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train | SampleCache.choice_default_serializer | Convert a Choice to a cached instance representation. | sample_poll_app/cache.py | def choice_default_serializer(self, obj):
"""Convert a Choice to a cached instance representation."""
if not obj:
return None
self.choice_default_add_related_pks(obj)
return dict((
('id', obj.id),
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"""Convert a Choice to a cached instance representation."""
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train | SampleCache.choice_default_loader | Load a Choice from the database. | sample_poll_app/cache.py | def choice_default_loader(self, pk):
"""Load a Choice from the database."""
try:
obj = Choice.objects.get(pk=pk)
except Choice.DoesNotExist:
return None
else:
self.choice_default_add_related_pks(obj)
return obj | def choice_default_loader(self, pk):
"""Load a Choice from the database."""
try:
obj = Choice.objects.get(pk=pk)
except Choice.DoesNotExist:
return None
else:
self.choice_default_add_related_pks(obj)
return obj | [
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train | SampleCache.choice_default_add_related_pks | Add related primary keys to a Choice instance. | sample_poll_app/cache.py | def choice_default_add_related_pks(self, obj):
"""Add related primary keys to a Choice instance."""
if not hasattr(obj, '_voter_pks'):
obj._voter_pks = obj.voters.values_list('pk', flat=True) | def choice_default_add_related_pks(self, obj):
"""Add related primary keys to a Choice instance."""
if not hasattr(obj, '_voter_pks'):
obj._voter_pks = obj.voters.values_list('pk', flat=True) | [
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train | SampleCache.choice_default_invalidator | Invalidated cached items when the Choice changes. | sample_poll_app/cache.py | def choice_default_invalidator(self, obj):
"""Invalidated cached items when the Choice changes."""
invalid = [('Question', obj.question_id, True)]
for pk in obj.voters.values_list('pk', flat=True):
invalid.append(('User', pk, False))
return invalid | def choice_default_invalidator(self, obj):
"""Invalidated cached items when the Choice changes."""
invalid = [('Question', obj.question_id, True)]
for pk in obj.voters.values_list('pk', flat=True):
invalid.append(('User', pk, False))
return invalid | [
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train | BaseCache.cache | Get the Django cache interface.
This allows disabling the cache with
settings.USE_DRF_INSTANCE_CACHE=False. It also delays import so that
Django Debug Toolbar will record cache requests. | drf_cached_instances/cache.py | def cache(self):
"""Get the Django cache interface.
This allows disabling the cache with
settings.USE_DRF_INSTANCE_CACHE=False. It also delays import so that
Django Debug Toolbar will record cache requests.
"""
if not self._cache:
use_cache = getattr(setting... | def cache(self):
"""Get the Django cache interface.
This allows disabling the cache with
settings.USE_DRF_INSTANCE_CACHE=False. It also delays import so that
Django Debug Toolbar will record cache requests.
"""
if not self._cache:
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train | BaseCache.delete_all_versions | Delete all versions of a cached instance. | drf_cached_instances/cache.py | def delete_all_versions(self, model_name, obj_pk):
"""Delete all versions of a cached instance."""
if self.cache:
for version in self.versions:
key = self.key_for(version, model_name, obj_pk)
self.cache.delete(key) | def delete_all_versions(self, model_name, obj_pk):
"""Delete all versions of a cached instance."""
if self.cache:
for version in self.versions:
key = self.key_for(version, model_name, obj_pk)
self.cache.delete(key) | [
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train | BaseCache.model_function | Return the model-specific caching function. | drf_cached_instances/cache.py | def model_function(self, model_name, version, func_name):
"""Return the model-specific caching function."""
assert func_name in ('serializer', 'loader', 'invalidator')
name = "%s_%s_%s" % (model_name.lower(), version, func_name)
return getattr(self, name) | def model_function(self, model_name, version, func_name):
"""Return the model-specific caching function."""
assert func_name in ('serializer', 'loader', 'invalidator')
name = "%s_%s_%s" % (model_name.lower(), version, func_name)
return getattr(self, name) | [
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train | BaseCache.field_function | Return the field function. | drf_cached_instances/cache.py | def field_function(self, type_code, func_name):
"""Return the field function."""
assert func_name in ('to_json', 'from_json')
name = "field_%s_%s" % (type_code.lower(), func_name)
return getattr(self, name) | def field_function(self, type_code, func_name):
"""Return the field function."""
assert func_name in ('to_json', 'from_json')
name = "field_%s_%s" % (type_code.lower(), func_name)
return getattr(self, name) | [
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train | BaseCache.field_to_json | Convert a field to a JSON-serializable representation. | drf_cached_instances/cache.py | def field_to_json(self, type_code, key, *args, **kwargs):
"""Convert a field to a JSON-serializable representation."""
assert ':' not in key
to_json = self.field_function(type_code, 'to_json')
key_and_type = "%s:%s" % (key, type_code)
json_value = to_json(*args, **kwargs)
... | def field_to_json(self, type_code, key, *args, **kwargs):
"""Convert a field to a JSON-serializable representation."""
assert ':' not in key
to_json = self.field_function(type_code, 'to_json')
key_and_type = "%s:%s" % (key, type_code)
json_value = to_json(*args, **kwargs)
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train | BaseCache.field_from_json | Convert a JSON-serializable representation back to a field. | drf_cached_instances/cache.py | def field_from_json(self, key_and_type, json_value):
"""Convert a JSON-serializable representation back to a field."""
assert ':' in key_and_type
key, type_code = key_and_type.split(':', 1)
from_json = self.field_function(type_code, 'from_json')
value = from_json(json_value)
... | def field_from_json(self, key_and_type, json_value):
"""Convert a JSON-serializable representation back to a field."""
assert ':' in key_and_type
key, type_code = key_and_type.split(':', 1)
from_json = self.field_function(type_code, 'from_json')
value = from_json(json_value)
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train | BaseCache.get_instances | Get the cached native representation for one or more objects.
Keyword arguments:
object_specs - A sequence of triples (model name, pk, obj):
- model name - the name of the model
- pk - the primary key of the instance
- obj - the instance, or None to load it
version - The... | drf_cached_instances/cache.py | def get_instances(self, object_specs, version=None):
"""Get the cached native representation for one or more objects.
Keyword arguments:
object_specs - A sequence of triples (model name, pk, obj):
- model name - the name of the model
- pk - the primary key of the instance
... | def get_instances(self, object_specs, version=None):
"""Get the cached native representation for one or more objects.
Keyword arguments:
object_specs - A sequence of triples (model name, pk, obj):
- model name - the name of the model
- pk - the primary key of the instance
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train | BaseCache.update_instance | Create or update a cached instance.
Keyword arguments are:
model_name - The name of the model
pk - The primary key of the instance
instance - The Django model instance, or None to load it
versions - Version to update, or None for all
update_only - If False (default), the... | drf_cached_instances/cache.py | def update_instance(
self, model_name, pk, instance=None, version=None,
update_only=False):
"""Create or update a cached instance.
Keyword arguments are:
model_name - The name of the model
pk - The primary key of the instance
instance - The Django model i... | def update_instance(
self, model_name, pk, instance=None, version=None,
update_only=False):
"""Create or update a cached instance.
Keyword arguments are:
model_name - The name of the model
pk - The primary key of the instance
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train | BaseCache.field_date_to_json | Convert a date to a date triple. | drf_cached_instances/cache.py | def field_date_to_json(self, day):
"""Convert a date to a date triple."""
if isinstance(day, six.string_types):
day = parse_date(day)
return [day.year, day.month, day.day] if day else None | def field_date_to_json(self, day):
"""Convert a date to a date triple."""
if isinstance(day, six.string_types):
day = parse_date(day)
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train | BaseCache.field_datetime_from_json | Convert a UTC timestamp to a UTC datetime. | drf_cached_instances/cache.py | def field_datetime_from_json(self, json_val):
"""Convert a UTC timestamp to a UTC datetime."""
if type(json_val) == int:
seconds = int(json_val)
dt = datetime.fromtimestamp(seconds, utc)
elif json_val is None:
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seconds, micro... | def field_datetime_from_json(self, json_val):
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if type(json_val) == int:
seconds = int(json_val)
dt = datetime.fromtimestamp(seconds, utc)
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dt = None
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train | BaseCache.field_datetime_to_json | Convert a datetime to a UTC timestamp w/ microsecond resolution.
datetimes w/o timezone will be assumed to be in UTC | drf_cached_instances/cache.py | def field_datetime_to_json(self, dt):
"""Convert a datetime to a UTC timestamp w/ microsecond resolution.
datetimes w/o timezone will be assumed to be in UTC
"""
if isinstance(dt, six.string_types):
dt = parse_datetime(dt)
if not dt:
return None
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"""Convert a datetime to a UTC timestamp w/ microsecond resolution.
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"""
if isinstance(dt, six.string_types):
dt = parse_datetime(dt)
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train | BaseCache.field_timedelta_from_json | Convert json_val to a timedelta object.
json_val contains total number of seconds in the timedelta.
If json_val is a string it will be converted to a float. | drf_cached_instances/cache.py | def field_timedelta_from_json(self, json_val):
"""Convert json_val to a timedelta object.
json_val contains total number of seconds in the timedelta.
If json_val is a string it will be converted to a float.
"""
if isinstance(json_val, str):
return timedelta(seconds=f... | def field_timedelta_from_json(self, json_val):
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If json_val is a string it will be converted to a float.
"""
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train | BaseCache.field_timedelta_to_json | Convert timedelta to value containing total number of seconds.
If there are fractions of a second the return value will be a
string, otherwise it will be an int. | drf_cached_instances/cache.py | def field_timedelta_to_json(self, td):
"""Convert timedelta to value containing total number of seconds.
If there are fractions of a second the return value will be a
string, otherwise it will be an int.
"""
if isinstance(td, six.string_types):
td = parse_duration(td... | def field_timedelta_to_json(self, td):
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If there are fractions of a second the return value will be a
string, otherwise it will be an int.
"""
if isinstance(td, six.string_types):
td = parse_duration(td... | [
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train | BaseCache.field_pklist_from_json | Load a PkOnlyQueryset from a JSON dict.
This uses the same format as cached_queryset_from_json | drf_cached_instances/cache.py | def field_pklist_from_json(self, data):
"""Load a PkOnlyQueryset from a JSON dict.
This uses the same format as cached_queryset_from_json
"""
model = get_model(data['app'], data['model'])
return PkOnlyQueryset(self, model, data['pks']) | def field_pklist_from_json(self, data):
"""Load a PkOnlyQueryset from a JSON dict.
This uses the same format as cached_queryset_from_json
"""
model = get_model(data['app'], data['model'])
return PkOnlyQueryset(self, model, data['pks']) | [
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train | BaseCache.field_pklist_to_json | Convert a list of primary keys to a JSON dict.
This uses the same format as cached_queryset_to_json | drf_cached_instances/cache.py | def field_pklist_to_json(self, model, pks):
"""Convert a list of primary keys to a JSON dict.
This uses the same format as cached_queryset_to_json
"""
app_label = model._meta.app_label
model_name = model._meta.model_name
return {
'app': app_label,
... | def field_pklist_to_json(self, model, pks):
"""Convert a list of primary keys to a JSON dict.
This uses the same format as cached_queryset_to_json
"""
app_label = model._meta.app_label
model_name = model._meta.model_name
return {
'app': app_label,
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train | BaseCache.field_pk_from_json | Load a PkOnlyModel from a JSON dict. | drf_cached_instances/cache.py | def field_pk_from_json(self, data):
"""Load a PkOnlyModel from a JSON dict."""
model = get_model(data['app'], data['model'])
return PkOnlyModel(self, model, data['pk']) | def field_pk_from_json(self, data):
"""Load a PkOnlyModel from a JSON dict."""
model = get_model(data['app'], data['model'])
return PkOnlyModel(self, model, data['pk']) | [
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train | BaseCache.field_pk_to_json | Convert a primary key to a JSON dict. | drf_cached_instances/cache.py | def field_pk_to_json(self, model, pk):
"""Convert a primary key to a JSON dict."""
app_label = model._meta.app_label
model_name = model._meta.model_name
return {
'app': app_label,
'model': model_name,
'pk': pk,
} | def field_pk_to_json(self, model, pk):
"""Convert a primary key to a JSON dict."""
app_label = model._meta.app_label
model_name = model._meta.model_name
return {
'app': app_label,
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train | choice_voters_changed_update_cache | Update cache when choice.voters changes. | sample_poll_app/models.py | def choice_voters_changed_update_cache(
sender, instance, action, reverse, model, pk_set, **kwargs):
"""Update cache when choice.voters changes."""
if action not in ('post_add', 'post_remove', 'post_clear'):
# post_clear is not handled, because clear is called in
# django.db.models.field... | def choice_voters_changed_update_cache(
sender, instance, action, reverse, model, pk_set, **kwargs):
"""Update cache when choice.voters changes."""
if action not in ('post_add', 'post_remove', 'post_clear'):
# post_clear is not handled, because clear is called in
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train | post_delete_update_cache | Update the cache when an instance is deleted. | sample_poll_app/models.py | def post_delete_update_cache(sender, instance, **kwargs):
"""Update the cache when an instance is deleted."""
name = sender.__name__
if name in cached_model_names:
from .tasks import update_cache_for_instance
update_cache_for_instance(name, instance.pk, instance) | def post_delete_update_cache(sender, instance, **kwargs):
"""Update the cache when an instance is deleted."""
name = sender.__name__
if name in cached_model_names:
from .tasks import update_cache_for_instance
update_cache_for_instance(name, instance.pk, instance) | [
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train | post_save_update_cache | Update the cache when an instance is created or modified. | sample_poll_app/models.py | def post_save_update_cache(sender, instance, created, raw, **kwargs):
"""Update the cache when an instance is created or modified."""
if raw:
return
name = sender.__name__
if name in cached_model_names:
delay_cache = getattr(instance, '_delay_cache', False)
if not delay_cache:
... | def post_save_update_cache(sender, instance, created, raw, **kwargs):
"""Update the cache when an instance is created or modified."""
if raw:
return
name = sender.__name__
if name in cached_model_names:
delay_cache = getattr(instance, '_delay_cache', False)
if not delay_cache:
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train | CachedViewMixin.get_queryset | Get the queryset for the action.
If action is read action, return a CachedQueryset
Otherwise, return a Django queryset | drf_cached_instances/mixins.py | def get_queryset(self):
"""Get the queryset for the action.
If action is read action, return a CachedQueryset
Otherwise, return a Django queryset
"""
queryset = super(CachedViewMixin, self).get_queryset()
if self.action in ('list', 'retrieve'):
return CachedQ... | def get_queryset(self):
"""Get the queryset for the action.
If action is read action, return a CachedQueryset
Otherwise, return a Django queryset
"""
queryset = super(CachedViewMixin, self).get_queryset()
if self.action in ('list', 'retrieve'):
return CachedQ... | [
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train | CachedViewMixin.get_object | Return the object the view is displaying.
Same as rest_framework.generics.GenericAPIView, but:
- Failed assertions instead of deprecations | drf_cached_instances/mixins.py | def get_object(self, queryset=None):
"""
Return the object the view is displaying.
Same as rest_framework.generics.GenericAPIView, but:
- Failed assertions instead of deprecations
"""
# Determine the base queryset to use.
assert queryset is None, "Passing a query... | def get_object(self, queryset=None):
"""
Return the object the view is displaying.
Same as rest_framework.generics.GenericAPIView, but:
- Failed assertions instead of deprecations
"""
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train | CachedViewMixin.get_object_or_404 | Return an object or raise a 404.
Same as Django's standard shortcut, but make sure to raise 404
if the filter_kwargs don't match the required types. | drf_cached_instances/mixins.py | def get_object_or_404(self, queryset, *filter_args, **filter_kwargs):
"""Return an object or raise a 404.
Same as Django's standard shortcut, but make sure to raise 404
if the filter_kwargs don't match the required types.
"""
if isinstance(queryset, CachedQueryset):
... | def get_object_or_404(self, queryset, *filter_args, **filter_kwargs):
"""Return an object or raise a 404.
Same as Django's standard shortcut, but make sure to raise 404
if the filter_kwargs don't match the required types.
"""
if isinstance(queryset, CachedQueryset):
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train | Empty.r | Resolve the object.
This returns default (if present) or fails on an Empty. | jsane/traversable.py | def r(self, **kwargs):
"""
Resolve the object.
This returns default (if present) or fails on an Empty.
"""
# by using kwargs we ensure that usage of positional arguments, as if
# this object were another kind of function, will fail-fast and raise
# a TypeError
... | def r(self, **kwargs):
"""
Resolve the object.
This returns default (if present) or fails on an Empty.
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# by using kwargs we ensure that usage of positional arguments, as if
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train | Traversable.r | Resolve the object.
This will always succeed, since, if a lookup fails, an Empty
instance will be returned farther upstream. | jsane/traversable.py | def r(self, **kwargs):
"""
Resolve the object.
This will always succeed, since, if a lookup fails, an Empty
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"""
# by using kwargs we ensure that usage of positional arguments, as if
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train | update_cache_for_instance | Update the cache for an instance, with cascading updates. | sample_poll_app/tasks.py | def update_cache_for_instance(
model_name, instance_pk, instance=None, version=None):
"""Update the cache for an instance, with cascading updates."""
cache = SampleCache()
invalid = cache.update_instance(model_name, instance_pk, instance, version)
for invalid_name, invalid_pk, invalid_version in... | def update_cache_for_instance(
model_name, instance_pk, instance=None, version=None):
"""Update the cache for an instance, with cascading updates."""
cache = SampleCache()
invalid = cache.update_instance(model_name, instance_pk, instance, version)
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train | PkOnlyQueryset.values_list | Return the primary keys as a list.
The only valid call is values_list('pk', flat=True) | drf_cached_instances/models.py | def values_list(self, *args, **kwargs):
"""Return the primary keys as a list.
The only valid call is values_list('pk', flat=True)
"""
flat = kwargs.pop('flat', False)
assert flat is True
assert len(args) == 1
assert args[0] == self.model._meta.pk.name
ret... | def values_list(self, *args, **kwargs):
"""Return the primary keys as a list.
The only valid call is values_list('pk', flat=True)
"""
flat = kwargs.pop('flat', False)
assert flat is True
assert len(args) == 1
assert args[0] == self.model._meta.pk.name
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train | CachedQueryset.pks | Lazy-load the primary keys. | drf_cached_instances/models.py | def pks(self):
"""Lazy-load the primary keys."""
if self._primary_keys is None:
self._primary_keys = list(
self.queryset.values_list('pk', flat=True))
return self._primary_keys | def pks(self):
"""Lazy-load the primary keys."""
if self._primary_keys is None:
self._primary_keys = list(
self.queryset.values_list('pk', flat=True))
return self._primary_keys | [
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train | CachedQueryset.count | Return a count of instances. | drf_cached_instances/models.py | def count(self):
"""Return a count of instances."""
if self._primary_keys is None:
return self.queryset.count()
else:
return len(self.pks) | def count(self):
"""Return a count of instances."""
if self._primary_keys is None:
return self.queryset.count()
else:
return len(self.pks) | [
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train | CachedQueryset.filter | Filter the base queryset. | drf_cached_instances/models.py | def filter(self, **kwargs):
"""Filter the base queryset."""
assert not self._primary_keys
self.queryset = self.queryset.filter(**kwargs)
return self | def filter(self, **kwargs):
"""Filter the base queryset."""
assert not self._primary_keys
self.queryset = self.queryset.filter(**kwargs)
return self | [
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train | CachedQueryset.get | Return the single item from the filtered queryset. | drf_cached_instances/models.py | def get(self, *args, **kwargs):
"""Return the single item from the filtered queryset."""
assert not args
assert list(kwargs.keys()) == ['pk']
pk = kwargs['pk']
model_name = self.model.__name__
object_spec = (model_name, pk, None)
instances = self.cache.get_instanc... | def get(self, *args, **kwargs):
"""Return the single item from the filtered queryset."""
assert not args
assert list(kwargs.keys()) == ['pk']
pk = kwargs['pk']
model_name = self.model.__name__
object_spec = (model_name, pk, None)
instances = self.cache.get_instanc... | [
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train | WebpackConstants.collect | Load all constant generators from settings.WEBPACK_CONSTANT_PROCESSORS
and concat their values. | tg_react/webpack.py | def collect(cls):
""" Load all constant generators from settings.WEBPACK_CONSTANT_PROCESSORS
and concat their values.
"""
constants = {}
for method_path in WebpackConstants.get_constant_processors():
method = import_string(method_path)
if not callabl... | def collect(cls):
""" Load all constant generators from settings.WEBPACK_CONSTANT_PROCESSORS
and concat their values.
"""
constants = {}
for method_path in WebpackConstants.get_constant_processors():
method = import_string(method_path)
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train | phonenumber_validation | Validates phonenumber
Similar to phonenumber_field.validators.validate_international_phonenumber() but uses a different message if the
country prefix is absent. | tg_react/api/accounts/serializers.py | def phonenumber_validation(data):
""" Validates phonenumber
Similar to phonenumber_field.validators.validate_international_phonenumber() but uses a different message if the
country prefix is absent.
"""
from phonenumber_field.phonenumber import to_python
phone_number = to_python(data)
if no... | def phonenumber_validation(data):
""" Validates phonenumber
Similar to phonenumber_field.validators.validate_international_phonenumber() but uses a different message if the
country prefix is absent.
"""
from phonenumber_field.phonenumber import to_python
phone_number = to_python(data)
if no... | [
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train | DjangoLocaleData.get_catalog | Create Django translation catalogue for `locale`. | tg_react/language.py | def get_catalog(self, locale):
"""Create Django translation catalogue for `locale`."""
with translation.override(locale):
translation_engine = DjangoTranslation(locale, domain=self.domain, localedirs=self.paths)
trans_cat = translation_engine._catalog
trans_fallback_... | def get_catalog(self, locale):
"""Create Django translation catalogue for `locale`."""
with translation.override(locale):
translation_engine = DjangoTranslation(locale, domain=self.domain, localedirs=self.paths)
trans_cat = translation_engine._catalog
trans_fallback_... | [
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train | DjangoLocaleData.get_paths | Create list of matching packages for translation engine. | tg_react/language.py | def get_paths(cls, packages):
"""Create list of matching packages for translation engine."""
allowable_packages = dict((app_config.name, app_config) for app_config in apps.get_app_configs())
app_configs = [allowable_packages[p] for p in packages if p in allowable_packages]
# paths of req... | def get_paths(cls, packages):
"""Create list of matching packages for translation engine."""
allowable_packages = dict((app_config.name, app_config) for app_config in apps.get_app_configs())
app_configs = [allowable_packages[p] for p in packages if p in allowable_packages]
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train | DjangoLocaleData.get_catalogue_header_value | Get `.po` header value. | tg_react/language.py | def get_catalogue_header_value(cls, catalog, key):
"""Get `.po` header value."""
header_value = None
if '' in catalog:
for line in catalog[''].split('\n'):
if line.startswith('%s:' % key):
header_value = line.split(':', 1)[1].strip()
retur... | def get_catalogue_header_value(cls, catalog, key):
"""Get `.po` header value."""
header_value = None
if '' in catalog:
for line in catalog[''].split('\n'):
if line.startswith('%s:' % key):
header_value = line.split(':', 1)[1].strip()
retur... | [
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train | DjangoLocaleData._num_plurals | Return the number of plurals for this catalog language, or 2 if no
plural string is available. | tg_react/language.py | def _num_plurals(self, catalogue):
"""
Return the number of plurals for this catalog language, or 2 if no
plural string is available.
"""
match = re.search(r'nplurals=\s*(\d+)', self.get_plural(catalogue) or '')
if match:
return int(match.groups()[0])
... | def _num_plurals(self, catalogue):
"""
Return the number of plurals for this catalog language, or 2 if no
plural string is available.
"""
match = re.search(r'nplurals=\s*(\d+)', self.get_plural(catalogue) or '')
if match:
return int(match.groups()[0])
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train | DjangoLocaleData.make_header | Populate header with correct data from top-most locale file. | tg_react/language.py | def make_header(self, locale, catalog):
"""Populate header with correct data from top-most locale file."""
return {
"po-revision-date": self.get_catalogue_header_value(catalog, 'PO-Revision-Date'),
"mime-version": self.get_catalogue_header_value(catalog, 'MIME-Version'),
... | def make_header(self, locale, catalog):
"""Populate header with correct data from top-most locale file."""
return {
"po-revision-date": self.get_catalogue_header_value(catalog, 'PO-Revision-Date'),
"mime-version": self.get_catalogue_header_value(catalog, 'MIME-Version'),
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train | DjangoLocaleData.collect_translations | Collect all `domain` translations and return `Tuple[languages, locale_data]` | tg_react/language.py | def collect_translations(self):
"""Collect all `domain` translations and return `Tuple[languages, locale_data]`"""
languages = {}
locale_data = {}
for language_code, label in settings.LANGUAGES:
languages[language_code] = '%s' % label
# Create django translation... | def collect_translations(self):
"""Collect all `domain` translations and return `Tuple[languages, locale_data]`"""
languages = {}
locale_data = {}
for language_code, label in settings.LANGUAGES:
languages[language_code] = '%s' % label
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train | get_endpoint_obj | Tiny helper function that gets used all over the place to join the object ID to the endpoint and run a GET request, returning the result | wunderpy2/endpoint_helpers.py | def get_endpoint_obj(client, endpoint, object_id):
''' Tiny helper function that gets used all over the place to join the object ID to the endpoint and run a GET request, returning the result '''
endpoint = '/'.join([endpoint, str(object_id)])
return client.authenticated_request(endpoint).json() | def get_endpoint_obj(client, endpoint, object_id):
''' Tiny helper function that gets used all over the place to join the object ID to the endpoint and run a GET request, returning the result '''
endpoint = '/'.join([endpoint, str(object_id)])
return client.authenticated_request(endpoint).json() | [
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train | WunderApi._validate_response | Helper method to validate the given to a Wunderlist API request is as expected | wunderpy2/wunderapi.py | def _validate_response(self, method, response):
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# TODO Fill this out using the error codes here: https://developer.wunderlist.com/documentation/concepts/formats
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endpoint -- API endpoint to send request to
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train | WunderApi.get_access_token | Exchange a temporary code for an access token allowing access to a user's account
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Send a request to the given Wunderlist API with 'X-Access-Token' and 'X-Client-ID' headers and ensure the response code is as expected given the request type
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train | WunderClient.update_list | Updates the list with the given ID to have the given title and public flag | wunderpy2/wunderclient.py | def update_list(self, list_id, revision, title=None, public=None):
''' Updates the list with the given ID to have the given title and public flag '''
return lists_endpoint.update_list(self, list_id, revision, title=title, public=public) | def update_list(self, list_id, revision, title=None, public=None):
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train | WunderClient.get_tasks | Gets tasks for the list with the given ID, filtered by the given completion flag | wunderpy2/wunderclient.py | def get_tasks(self, list_id, completed=False):
''' Gets tasks for the list with the given ID, filtered by the given completion flag '''
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train | WunderClient.create_task | Creates a new task with the given information in the list with the given ID | wunderpy2/wunderclient.py | def create_task(self, list_id, title, assignee_id=None, completed=None, recurrence_type=None, recurrence_count=None, due_date=None, starred=None):
''' Creates a new task with the given information in the list with the given ID '''
return tasks_endpoint.create_task(self, list_id, title, assignee_id=assig... | def create_task(self, list_id, title, assignee_id=None, completed=None, recurrence_type=None, recurrence_count=None, due_date=None, starred=None):
''' Creates a new task with the given information in the list with the given ID '''
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train | WunderClient.update_task | Updates the task with the given ID to have the given information
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Updates the task with the given ID to have the given information
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train | WunderClient.update_note | Updates the note with the given ID to have the given content | wunderpy2/wunderclient.py | def update_note(self, note_id, revision, content):
''' Updates the note with the given ID to have the given content '''
return notes_endpoint.update_note(self, note_id, revision, content) | def update_note(self, note_id, revision, content):
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train | WunderClient.get_task_subtasks | Gets subtasks for task with given ID | wunderpy2/wunderclient.py | def get_task_subtasks(self, task_id, completed=False):
''' Gets subtasks for task with given ID '''
return subtasks_endpoint.get_task_subtasks(self, task_id, completed=completed) | def get_task_subtasks(self, task_id, completed=False):
''' Gets subtasks for task with given ID '''
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train | WunderClient.get_list_subtasks | Gets subtasks for the list with given ID | wunderpy2/wunderclient.py | def get_list_subtasks(self, list_id, completed=False):
''' Gets subtasks for the list with given ID '''
return subtasks_endpoint.get_list_subtasks(self, list_id, completed=completed) | def get_list_subtasks(self, list_id, completed=False):
''' Gets subtasks for the list with given ID '''
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train | WunderClient.create_subtask | Creates a subtask with the given title under the task with the given ID
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'''
Creates a subtask with the given title under the task with the given ID
Return:
Newly-created subtask
'''
return subtasks_endpoint.create_subtask(self, task_id, title, completed=completed) | def create_subtask(self, task_id, title, completed=False):
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train | WunderClient.update_subtask | Updates the subtask with the given ID
See https://developer.wunderlist.com/documentation/endpoints/subtask for detailed parameter information
Returns:
Subtask with given ID with properties and revision updated | wunderpy2/wunderclient.py | def update_subtask(self, subtask_id, revision, title=None, completed=None):
'''
Updates the subtask with the given ID
See https://developer.wunderlist.com/documentation/endpoints/subtask for detailed parameter information
Returns:
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Updates the subtask with the given ID
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train | WunderClient.update_list_positions_obj | Updates the ordering of lists to have the given value. The given ID and revision should match the singleton object defining how lists are laid out.
See https://developer.wunderlist.com/documentation/endpoints/positions for more info
Return:
The updated ListPositionsObj-mapped object defining t... | wunderpy2/wunderclient.py | def update_list_positions_obj(self, positions_obj_id, revision, values):
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train | get_task_positions_objs | Gets a list containing the object that encapsulates information about the order lists are laid out in. This list will always contain exactly one object.
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A list containing a single ListPositionsObj-mapped object | wunderpy2/positions_endpoints.py | def get_task_positions_objs(client, list_id):
'''
Gets a list containing the object that encapsulates information about the order lists are laid out in. This list will always contain exactly one object.
See https://developer.wunderlist.com/documentation/endpoints/positions for more info
Return:
A ... | def get_task_positions_objs(client, list_id):
'''
Gets a list containing the object that encapsulates information about the order lists are laid out in. This list will always contain exactly one object.
See https://developer.wunderlist.com/documentation/endpoints/positions for more info
Return:
A ... | [
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train | get_task_subtask_positions_objs | Gets a list of the positions of a single task's subtasks
Each task should (will?) only have one positions object defining how its subtasks are laid out | wunderpy2/positions_endpoints.py | def get_task_subtask_positions_objs(client, task_id):
'''
Gets a list of the positions of a single task's subtasks
Each task should (will?) only have one positions object defining how its subtasks are laid out
'''
params = {
'task_id' : int(task_id)
}
response = client.a... | def get_task_subtask_positions_objs(client, task_id):
'''
Gets a list of the positions of a single task's subtasks
Each task should (will?) only have one positions object defining how its subtasks are laid out
'''
params = {
'task_id' : int(task_id)
}
response = client.a... | [
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train | get_list_subtask_positions_objs | Gets all subtask positions objects for the tasks within a given list. This is a convenience method so you don't have to get all the list's tasks before getting subtasks, though I can't fathom how mass subtask reordering is useful.
Returns:
List of SubtaskPositionsObj-mapped objects representing the order of su... | wunderpy2/positions_endpoints.py | def get_list_subtask_positions_objs(client, list_id):
'''
Gets all subtask positions objects for the tasks within a given list. This is a convenience method so you don't have to get all the list's tasks before getting subtasks, though I can't fathom how mass subtask reordering is useful.
Returns:
List ... | def get_list_subtask_positions_objs(client, list_id):
'''
Gets all subtask positions objects for the tasks within a given list. This is a convenience method so you don't have to get all the list's tasks before getting subtasks, though I can't fathom how mass subtask reordering is useful.
Returns:
List ... | [
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train | _check_title_length | Checks the given title against the given API specifications to ensure it's short enough | wunderpy2/subtasks_endpoint.py | def _check_title_length(title, api):
''' Checks the given title against the given API specifications to ensure it's short enough '''
if len(title) > api.MAX_SUBTASK_TITLE_LENGTH:
raise ValueError("Title cannot be longer than {} characters".format(api.MAX_SUBTASK_TITLE_LENGTH)) | def _check_title_length(title, api):
''' Checks the given title against the given API specifications to ensure it's short enough '''
if len(title) > api.MAX_SUBTASK_TITLE_LENGTH:
raise ValueError("Title cannot be longer than {} characters".format(api.MAX_SUBTASK_TITLE_LENGTH)) | [
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train | get_task_subtasks | Gets subtasks for task with given ID | wunderpy2/subtasks_endpoint.py | def get_task_subtasks(client, task_id, completed=False):
''' Gets subtasks for task with given ID '''
params = {
'task_id' : int(task_id),
'completed' : completed,
}
response = client.authenticated_request(client.api.Endpoints.SUBTASKS, params=params)
return response.... | def get_task_subtasks(client, task_id, completed=False):
''' Gets subtasks for task with given ID '''
params = {
'task_id' : int(task_id),
'completed' : completed,
}
response = client.authenticated_request(client.api.Endpoints.SUBTASKS, params=params)
return response.... | [
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] | mieubrisse/wunderpy2 | python | https://github.com/mieubrisse/wunderpy2/blob/7106b6c13ca45ef4d56f805753c93258d5b822c2/wunderpy2/subtasks_endpoint.py#L10-L17 | [
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train | get_list_subtasks | Gets subtasks for the list with given ID | wunderpy2/subtasks_endpoint.py | def get_list_subtasks(client, list_id, completed=False):
''' Gets subtasks for the list with given ID '''
params = {
'list_id' : int(list_id),
'completed' : completed,
}
response = client.authenticated_request(client.api.Endpoints.SUBTASKS, params=params)
return respo... | def get_list_subtasks(client, list_id, completed=False):
''' Gets subtasks for the list with given ID '''
params = {
'list_id' : int(list_id),
'completed' : completed,
}
response = client.authenticated_request(client.api.Endpoints.SUBTASKS, params=params)
return respo... | [
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train | get_subtask | Gets the subtask with the given ID | wunderpy2/subtasks_endpoint.py | def get_subtask(client, subtask_id):
''' Gets the subtask with the given ID '''
endpoint = '/'.join([client.api.Endpoints.SUBTASKS, str(subtask_id)])
response = client.authenticated_request(endpoint)
return response.json() | def get_subtask(client, subtask_id):
''' Gets the subtask with the given ID '''
endpoint = '/'.join([client.api.Endpoints.SUBTASKS, str(subtask_id)])
response = client.authenticated_request(endpoint)
return response.json() | [
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] | mieubrisse/wunderpy2 | python | https://github.com/mieubrisse/wunderpy2/blob/7106b6c13ca45ef4d56f805753c93258d5b822c2/wunderpy2/subtasks_endpoint.py#L28-L32 | [
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train | create_subtask | Creates a subtask with the given title under the task with the given ID | wunderpy2/subtasks_endpoint.py | def create_subtask(client, task_id, title, completed=False):
''' Creates a subtask with the given title under the task with the given ID '''
_check_title_length(title, client.api)
data = {
'task_id' : int(task_id) if task_id else None,
'title' : title,
'completed' : compl... | def create_subtask(client, task_id, title, completed=False):
''' Creates a subtask with the given title under the task with the given ID '''
_check_title_length(title, client.api)
data = {
'task_id' : int(task_id) if task_id else None,
'title' : title,
'completed' : compl... | [
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] | mieubrisse/wunderpy2 | python | https://github.com/mieubrisse/wunderpy2/blob/7106b6c13ca45ef4d56f805753c93258d5b822c2/wunderpy2/subtasks_endpoint.py#L34-L44 | [
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"... | 7106b6c13ca45ef4d56f805753c93258d5b822c2 |
train | update_subtask | Updates the subtask with the given ID
See https://developer.wunderlist.com/documentation/endpoints/subtask for detailed parameter information | wunderpy2/subtasks_endpoint.py | def update_subtask(client, subtask_id, revision, title=None, completed=None):
'''
Updates the subtask with the given ID
See https://developer.wunderlist.com/documentation/endpoints/subtask for detailed parameter information
'''
if title is not None:
_check_title_length(title, client.api)
... | def update_subtask(client, subtask_id, revision, title=None, completed=None):
'''
Updates the subtask with the given ID
See https://developer.wunderlist.com/documentation/endpoints/subtask for detailed parameter information
'''
if title is not None:
_check_title_length(title, client.api)
... | [
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] | mieubrisse/wunderpy2 | python | https://github.com/mieubrisse/wunderpy2/blob/7106b6c13ca45ef4d56f805753c93258d5b822c2/wunderpy2/subtasks_endpoint.py#L46-L62 | [
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... | 7106b6c13ca45ef4d56f805753c93258d5b822c2 |
train | delete_subtask | Deletes the subtask with the given ID provided the given revision equals the revision the server has | wunderpy2/subtasks_endpoint.py | def delete_subtask(client, subtask_id, revision):
''' Deletes the subtask with the given ID provided the given revision equals the revision the server has '''
params = {
'revision' : int(revision),
}
endpoint = '/'.join([client.api.Endpoints.SUBTASKS, str(subtask_id)])
client.aut... | def delete_subtask(client, subtask_id, revision):
''' Deletes the subtask with the given ID provided the given revision equals the revision the server has '''
params = {
'revision' : int(revision),
}
endpoint = '/'.join([client.api.Endpoints.SUBTASKS, str(subtask_id)])
client.aut... | [
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] | mieubrisse/wunderpy2 | python | https://github.com/mieubrisse/wunderpy2/blob/7106b6c13ca45ef4d56f805753c93258d5b822c2/wunderpy2/subtasks_endpoint.py#L64-L70 | [
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... | 7106b6c13ca45ef4d56f805753c93258d5b822c2 |
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