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4,999 | cerberus.validator | _validate_dependencies | {'type': ('dict', 'hashable', 'list'), 'check_with': 'dependencies'} | def _validate_dependencies(self, dependencies, field, value):
"""{'type': ('dict', 'hashable', 'list'), 'check_with': 'dependencies'}"""
if isinstance(dependencies, _str_type) or not isinstance(
dependencies, (Iterable, Mapping)
):
dependencies = (dependencies,)
if isinstance(dependencies, Sequence):
self.__validate_dependencies_sequence(dependencies, field)
elif isinstance(dependencies, Mapping):
self.__validate_dependencies_mapping(dependencies, field)
if (
self.document_error_tree.fetch_node_from(
self.schema_path + (field, 'dependencies')
)
is not None
):
return True
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] |
5,000 | cerberus.validator | _validate_empty | {'type': 'boolean'} | def _validate_empty(self, empty, field, value):
"""{'type': 'boolean'}"""
if isinstance(value, Sized) and len(value) == 0:
self._drop_remaining_rules(
'allowed',
'forbidden',
'items',
'minlength',
'maxlength',
'regex',
'check_with',
)
if not empty:
self._error(field, errors.EMPTY_NOT_ALLOWED)
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] |
5,001 | cerberus.validator | _validate_excludes | {'type': ('hashable', 'list'), 'schema': {'type': 'hashable'}} | def _validate_excludes(self, excluded_fields, field, value):
"""{'type': ('hashable', 'list'), 'schema': {'type': 'hashable'}}"""
if isinstance(excluded_fields, Hashable):
excluded_fields = [excluded_fields]
# Mark the currently evaluated field as not required for now if it actually is.
# One of the so marked will be needed to pass when required fields are checked.
if self.schema[field].get('required', self.require_all):
self._unrequired_by_excludes.add(field)
for excluded_field in excluded_fields:
if excluded_field in self.schema and self.schema[field].get(
'required', self.require_all
):
self._unrequired_by_excludes.add(excluded_field)
if any(excluded_field in self.document for excluded_field in excluded_fields):
exclusion_str = ', '.join(
"'{0}'".format(field) for field in excluded_fields
)
self._error(field, errors.EXCLUDES_FIELD, exclusion_str)
| (self, excluded_fields, field, value) | [
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5,002 | cerberus.validator | _validate_forbidden | {'type': 'list'} | def _validate_forbidden(self, forbidden_values, field, value):
"""{'type': 'list'}"""
if isinstance(value, Sequence) and not isinstance(value, _str_type):
forbidden = set(value) & set(forbidden_values)
if forbidden:
self._error(field, errors.FORBIDDEN_VALUES, list(forbidden))
else:
if value in forbidden_values:
self._error(field, errors.FORBIDDEN_VALUE, value)
| (self, forbidden_values, field, value) | [
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5,003 | cerberus.validator | _validate_items | {'type': 'list', 'check_with': 'items'} | def _validate_items(self, items, field, values):
"""{'type': 'list', 'check_with': 'items'}"""
if len(items) != len(values):
self._error(field, errors.ITEMS_LENGTH, len(items), len(values))
else:
schema = dict(
(i, definition) for i, definition in enumerate(items)
) # noqa: E501
validator = self._get_child_validator(
document_crumb=field,
schema_crumb=(field, 'items'), # noqa: E501
schema=schema,
)
if not validator(
dict((i, value) for i, value in enumerate(values)),
update=self.update,
normalize=False,
):
self._error(field, errors.BAD_ITEMS, validator._errors)
| (self, items, field, values) | [
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5,004 | cerberus.validator | _validate_keysrules |
{'type': ['dict', 'string'],
'check_with': 'bulk_schema',
'forbidden': ['rename', 'rename_handler']}
| def _validate_keysrules(self, schema, field, value):
"""
{'type': ['dict', 'string'],
'check_with': 'bulk_schema',
'forbidden': ['rename', 'rename_handler']}
"""
if isinstance(value, Mapping):
validator = self._get_child_validator(
document_crumb=field,
schema_crumb=(field, 'keysrules'),
schema=dict(((k, schema) for k in value.keys())),
)
if not validator(dict(((k, k) for k in value.keys())), normalize=False):
self._drop_nodes_from_errorpaths(validator._errors, [], [2, 4])
self._error(field, errors.KEYSRULES, validator._errors)
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5,005 | cerberus.validator | _validate_max | {'nullable': False } | def _validate_max(self, max_value, field, value):
"""{'nullable': False }"""
try:
if value > max_value:
self._error(field, errors.MAX_VALUE)
except TypeError:
pass
| (self, max_value, field, value) | [
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5,006 | cerberus.validator | _validate_maxlength | {'type': 'integer'} | def _validate_maxlength(self, max_length, field, value):
"""{'type': 'integer'}"""
if isinstance(value, Iterable) and len(value) > max_length:
self._error(field, errors.MAX_LENGTH, len(value))
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5,007 | cerberus.validator | dummy | def dummy_for_rule_validation(rule_constraints):
def dummy(self, constraint, field, value):
raise RuntimeError(
'Dummy method called. Its purpose is to hold just'
'validation constraints for a rule in its '
'docstring.'
)
f = dummy
f.__doc__ = rule_constraints
return f
| (self, constraint, field, value) | [
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] |
|
5,008 | cerberus.validator | _validate_min | {'nullable': False } | def _validate_min(self, min_value, field, value):
"""{'nullable': False }"""
try:
if value < min_value:
self._error(field, errors.MIN_VALUE)
except TypeError:
pass
| (self, min_value, field, value) | [
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5,009 | cerberus.validator | _validate_minlength | {'type': 'integer'} | def _validate_minlength(self, min_length, field, value):
"""{'type': 'integer'}"""
if isinstance(value, Iterable) and len(value) < min_length:
self._error(field, errors.MIN_LENGTH, len(value))
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5,010 | cerberus.validator | _validate_noneof | {'type': 'list', 'logical': 'noneof'} | def _validate_noneof(self, definitions, field, value):
"""{'type': 'list', 'logical': 'noneof'}"""
valids, _errors = self.__validate_logical('noneof', definitions, field, value)
if valids > 0:
self._error(field, errors.NONEOF, _errors, valids, len(definitions))
| (self, definitions, field, value) | [
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] |
5,011 | cerberus.validator | _validate_nullable | {'type': 'boolean'} | def _validate_nullable(self, nullable, field, value):
"""{'type': 'boolean'}"""
if value is None:
if not nullable:
self._error(field, errors.NOT_NULLABLE)
self._drop_remaining_rules(
"allof",
'allowed',
"anyof",
'empty',
'forbidden',
'items',
'keysrules',
'min',
'max',
'minlength',
'maxlength',
"noneof",
"oneof",
'regex',
'schema',
'type',
'valuesrules',
)
| (self, nullable, field, value) | [
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0.033914122730493546,
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5,012 | cerberus.validator | _validate_oneof | {'type': 'list', 'logical': 'oneof'} | def _validate_oneof(self, definitions, field, value):
"""{'type': 'list', 'logical': 'oneof'}"""
valids, _errors = self.__validate_logical('oneof', definitions, field, value)
if valids != 1:
self._error(field, errors.ONEOF, _errors, valids, len(definitions))
| (self, definitions, field, value) | [
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] |
5,013 | cerberus.validator | _validate_readonly | {'type': 'boolean'} | def _validate_readonly(self, readonly, field, value):
"""{'type': 'boolean'}"""
if readonly:
if not self._is_normalized:
self._error(field, errors.READONLY_FIELD)
# If the document was normalized (and therefore already been
# checked for readonly fields), we still have to return True
# if an error was filed.
has_error = (
errors.READONLY_FIELD
in self.document_error_tree.fetch_errors_from(
self.document_path + (field,)
)
)
if self._is_normalized and has_error:
self._drop_remaining_rules()
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5,014 | cerberus.validator | _validate_regex | {'type': 'string'} | def _validate_regex(self, pattern, field, value):
"""{'type': 'string'}"""
if not isinstance(value, _str_type):
return
if not pattern.endswith('$'):
pattern += '$'
re_obj = re.compile(pattern)
if not re_obj.match(value):
self._error(field, errors.REGEX_MISMATCH)
| (self, pattern, field, value) | [
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5,015 | cerberus.validator | dummy | {'type': 'boolean'} | def dummy_for_rule_validation(rule_constraints):
def dummy(self, constraint, field, value):
raise RuntimeError(
'Dummy method called. Its purpose is to hold just'
'validation constraints for a rule in its '
'docstring.'
)
f = dummy
f.__doc__ = rule_constraints
return f
| (self, constraint, field, value) | [
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0.05037129670381546,
0.038815319538116455,
0.02366139367222786,
0.019443107768893242,
0.07188810408115387
] |
5,017 | cerberus.validator | _validate_schema |
{'type': ['dict', 'string'],
'anyof': [{'check_with': 'schema'},
{'check_with': 'bulk_schema'}]}
| def _validate_schema(self, schema, field, value):
"""
{'type': ['dict', 'string'],
'anyof': [{'check_with': 'schema'},
{'check_with': 'bulk_schema'}]}
"""
if schema is None:
return
if isinstance(value, Sequence) and not isinstance(value, _str_type):
self.__validate_schema_sequence(field, schema, value)
elif isinstance(value, Mapping):
self.__validate_schema_mapping(field, schema, value)
| (self, schema, field, value) | [
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] |
5,018 | cerberus.validator | _validate_type |
{'type': ['string', 'list'],
'check_with': 'type'}
| def _validate_type(self, data_type, field, value):
"""
{'type': ['string', 'list'],
'check_with': 'type'}
"""
if not data_type:
return
types = (data_type,) if isinstance(data_type, _str_type) else data_type
for _type in types:
# TODO remove this block on next major release
# this implementation still supports custom type validation methods
type_definition = self.types_mapping.get(_type)
if type_definition is not None:
matched = isinstance(
value, type_definition.included_types
) and not isinstance(value, type_definition.excluded_types)
else:
type_handler = self.__get_rule_handler('validate_type', _type)
matched = type_handler(value)
if matched:
return
# TODO uncomment this block on next major release
# when _validate_type_* methods were deprecated:
# type_definition = self.types_mapping[_type]
# if isinstance(value, type_definition.included_types) \
# and not isinstance(value, type_definition.excluded_types): # noqa 501
# return
self._error(field, errors.BAD_TYPE)
self._drop_remaining_rules()
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5,019 | cerberus.validator | _validate_valuesrules |
{'type': ['dict', 'string'],
'check_with': 'bulk_schema',
'forbidden': ['rename', 'rename_handler']}
| def _validate_valuesrules(self, schema, field, value):
"""
{'type': ['dict', 'string'],
'check_with': 'bulk_schema',
'forbidden': ['rename', 'rename_handler']}
"""
schema_crumb = (field, 'valuesrules')
if isinstance(value, Mapping):
validator = self._get_child_validator(
document_crumb=field,
schema_crumb=schema_crumb,
schema=dict((k, schema) for k in value),
)
validator(value, update=self.update, normalize=False)
if validator._errors:
self._drop_nodes_from_errorpaths(validator._errors, [], [2])
self._error(field, errors.VALUESRULES, validator._errors)
| (self, schema, field, value) | [
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5,020 | cerberus.validator | normalized |
Returns the document normalized according to the specified rules of a schema.
:param document: The document to normalize.
:type document: any :term:`mapping`
:param schema: The validation schema. Defaults to :obj:`None`. If not
provided here, the schema must have been provided at
class instantiation.
:type schema: any :term:`mapping`
:param always_return_document: Return the document, even if an error
occurred. Defaults to: ``False``.
:type always_return_document: :class:`bool`
:return: A normalized copy of the provided mapping or :obj:`None` if an
error occurred during normalization.
| def normalized(self, document, schema=None, always_return_document=False):
"""
Returns the document normalized according to the specified rules of a schema.
:param document: The document to normalize.
:type document: any :term:`mapping`
:param schema: The validation schema. Defaults to :obj:`None`. If not
provided here, the schema must have been provided at
class instantiation.
:type schema: any :term:`mapping`
:param always_return_document: Return the document, even if an error
occurred. Defaults to: ``False``.
:type always_return_document: :class:`bool`
:return: A normalized copy of the provided mapping or :obj:`None` if an
error occurred during normalization.
"""
self.__init_processing(document, schema)
self.__normalize_mapping(self.document, self.schema)
self.error_handler.end(self)
if self._errors and not always_return_document:
return None
else:
return self.document
| (self, document, schema=None, always_return_document=False) | [
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] |
5,022 | cerberus.validator | validated |
Wrapper around :meth:`~cerberus.Validator.validate` that returns the normalized
and validated document or :obj:`None` if validation failed.
| def validated(self, *args, **kwargs):
"""
Wrapper around :meth:`~cerberus.Validator.validate` that returns the normalized
and validated document or :obj:`None` if validation failed.
"""
always_return_document = kwargs.pop('always_return_document', False)
self.validate(*args, **kwargs)
if self._errors and not always_return_document:
return None
else:
return self.document
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5,029 | jsii._runtime | JSIIAbstractClass | null | class JSIIAbstractClass(abc.ABCMeta, JSIIMeta):
pass
| (name, bases, namespace, **kwargs) | [
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5,030 | jsii._runtime | __call__ | null | def __call__(cls: Type[M], *args: Any, **kwargs) -> M:
# There is no way to constrain the metaclass of a `Type[M]` hint today, so we have to
# perform a `cast` trick here in order for MyPy to accept this code as valid... The implicit
# arguments to `super()` otherwise are `super(__class__, cls)`, which results in an error.
inst = super(JSIIMeta, cast(JSIIMeta, cls)).__call__(*args, **kwargs)
# Register this instance with our reference map.
_reference_map.register_reference(inst)
return inst
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] |
5,031 | abc | __instancecheck__ | Override for isinstance(instance, cls). | def __instancecheck__(cls, instance):
"""Override for isinstance(instance, cls)."""
return _abc_instancecheck(cls, instance)
| (cls, instance) | [
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] |
5,032 | abc | __new__ | null | def __new__(mcls, name, bases, namespace, **kwargs):
cls = super().__new__(mcls, name, bases, namespace, **kwargs)
_abc_init(cls)
return cls
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5,033 | jsii.python | __setattr__ | null | def __setattr__(self, key: str, value: Any) -> None:
obj = getattr(self, key, None)
if isinstance(obj, _ClassProperty):
return obj.__set__(self, value)
return super().__setattr__(key, value)
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5,034 | abc | __subclasscheck__ | Override for issubclass(subclass, cls). | def __subclasscheck__(cls, subclass):
"""Override for issubclass(subclass, cls)."""
return _abc_subclasscheck(cls, subclass)
| (cls, subclass) | [
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5,035 | abc | _abc_caches_clear | Clear the caches (for debugging or testing). | def _abc_caches_clear(cls):
"""Clear the caches (for debugging or testing)."""
_reset_caches(cls)
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5,036 | abc | _abc_registry_clear | Clear the registry (for debugging or testing). | def _abc_registry_clear(cls):
"""Clear the registry (for debugging or testing)."""
_reset_registry(cls)
| (cls) | [
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] |
5,037 | abc | _dump_registry | Debug helper to print the ABC registry. | def _dump_registry(cls, file=None):
"""Debug helper to print the ABC registry."""
print(f"Class: {cls.__module__}.{cls.__qualname__}", file=file)
print(f"Inv. counter: {get_cache_token()}", file=file)
(_abc_registry, _abc_cache, _abc_negative_cache,
_abc_negative_cache_version) = _get_dump(cls)
print(f"_abc_registry: {_abc_registry!r}", file=file)
print(f"_abc_cache: {_abc_cache!r}", file=file)
print(f"_abc_negative_cache: {_abc_negative_cache!r}", file=file)
print(f"_abc_negative_cache_version: {_abc_negative_cache_version!r}",
file=file)
| (cls, file=None) | [
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] |
5,038 | abc | register | Register a virtual subclass of an ABC.
Returns the subclass, to allow usage as a class decorator.
| def register(cls, subclass):
"""Register a virtual subclass of an ABC.
Returns the subclass, to allow usage as a class decorator.
"""
return _abc_register(cls, subclass)
| (cls, subclass) | [
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5,039 | jsii._runtime | JSIIAssembly | null | class JSIIAssembly:
name: str
version: str
module: str
filename: str
@classmethod
def load(cls, *args, _kernel=kernel, **kwargs) -> "JSIIAssembly":
# Our object here really just acts as a record for our JSIIAssembly, it doesn't
# offer any functionality itself, besides this class method that will trigger
# the loading of the given assembly in the JSII Kernel.
assembly = cls(*args, **kwargs)
# Actually load the assembly into the kernel, we're using the
# importlib.resources API here instead of manually constructing the path, in
# the hopes that this will make JSII modules able to be used with zipimport
# instead of only on the FS.
with importlib_resources.as_file(
importlib_resources.files(f"{assembly.module}._jsii").joinpath(
assembly.filename
)
) as assembly_path:
_kernel.load(assembly.name, assembly.version, os.fspath(assembly_path))
# Give our record of the assembly back to the caller.
return assembly
@classmethod
def invokeBinScript(
cls,
pkgname: str,
script: str,
args: Optional[Sequence[str]] = None,
_kernel=kernel,
) -> int:
if args is None:
args = []
response = _kernel.getBinScriptCommand(pkgname, script, args)
result = subprocess.run(
" ".join([response.command, *response.args]),
encoding="utf-8",
shell=True,
env=response.env,
)
return result.returncode
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5,040 | attr._make | _frozen_delattrs |
Attached to frozen classes as __delattr__.
| def _frozen_delattrs(self, name):
"""
Attached to frozen classes as __delattr__.
"""
raise FrozenInstanceError()
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] |
5,041 | jsii._runtime | __eq__ | Method generated by attrs for class JSIIAssembly. | import abc
import os
import sys
import subprocess
import attr
from typing import (
Any,
Callable,
cast,
List,
Mapping,
Optional,
Sequence,
Type,
TypeVar,
)
from . import _reference_map
from ._compat import importlib_resources
from ._kernel import Kernel
from .python import _ClassPropertyMeta
# Yea, a global here is kind of gross, however, there's not really a better way of
# handling this. Fundamentally this is a global value, since we can only reasonably
# have a single kernel active at any one time in a real program.
kernel = Kernel()
@attr.s(auto_attribs=True, frozen=True, slots=True)
class JSIIAssembly:
name: str
version: str
module: str
filename: str
@classmethod
def load(cls, *args, _kernel=kernel, **kwargs) -> "JSIIAssembly":
# Our object here really just acts as a record for our JSIIAssembly, it doesn't
# offer any functionality itself, besides this class method that will trigger
# the loading of the given assembly in the JSII Kernel.
assembly = cls(*args, **kwargs)
# Actually load the assembly into the kernel, we're using the
# importlib.resources API here instead of manually constructing the path, in
# the hopes that this will make JSII modules able to be used with zipimport
# instead of only on the FS.
with importlib_resources.as_file(
importlib_resources.files(f"{assembly.module}._jsii").joinpath(
assembly.filename
)
) as assembly_path:
_kernel.load(assembly.name, assembly.version, os.fspath(assembly_path))
# Give our record of the assembly back to the caller.
return assembly
@classmethod
def invokeBinScript(
cls,
pkgname: str,
script: str,
args: Optional[Sequence[str]] = None,
_kernel=kernel,
) -> int:
if args is None:
args = []
response = _kernel.getBinScriptCommand(pkgname, script, args)
result = subprocess.run(
" ".join([response.command, *response.args]),
encoding="utf-8",
shell=True,
env=response.env,
)
return result.returncode
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5,043 | attr._make | slots_getstate |
Automatically created by attrs.
| def _make_getstate_setstate(self):
"""
Create custom __setstate__ and __getstate__ methods.
"""
# __weakref__ is not writable.
state_attr_names = tuple(
an for an in self._attr_names if an != "__weakref__"
)
def slots_getstate(self):
"""
Automatically created by attrs.
"""
return {name: getattr(self, name) for name in state_attr_names}
hash_caching_enabled = self._cache_hash
def slots_setstate(self, state):
"""
Automatically created by attrs.
"""
__bound_setattr = _obj_setattr.__get__(self)
if isinstance(state, tuple):
# Backward compatibility with attrs instances pickled with
# attrs versions before v22.2.0 which stored tuples.
for name, value in zip(state_attr_names, state):
__bound_setattr(name, value)
else:
for name in state_attr_names:
if name in state:
__bound_setattr(name, state[name])
# The hash code cache is not included when the object is
# serialized, but it still needs to be initialized to None to
# indicate that the first call to __hash__ should be a cache
# miss.
if hash_caching_enabled:
__bound_setattr(_hash_cache_field, None)
return slots_getstate, slots_setstate
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5,051 | attr._make | _frozen_setattrs |
Attached to frozen classes as __setattr__.
| def _frozen_setattrs(self, name, value):
"""
Attached to frozen classes as __setattr__.
"""
if isinstance(self, BaseException) and name in (
"__cause__",
"__context__",
"__traceback__",
):
BaseException.__setattr__(self, name, value)
return
raise FrozenInstanceError()
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5,053 | jsii._runtime | JSIIMeta | null | class JSIIMeta(_ClassPropertyMeta, type):
def __new__(
cls: Type["JSIIMeta"],
name: str,
bases: tuple,
attrs: dict,
*,
jsii_type: Optional[str] = None,
) -> "JSIIMeta":
# We want to ensure that subclasses of a JSII class do not require setting the
# jsii_type keyword argument. They should be able to subclass it as normal.
# Since their parent class will have the __jsii_type__ variable defined, they
# will as well anyways.
if jsii_type is not None:
attrs["__jsii_type__"] = jsii_type
# The declared type should NOT be inherited by subclasses. This way we can identify whether
# an MRO entry corresponds to a possible overrides contributor or not.
attrs["__jsii_declared_type__"] = jsii_type
obj = super().__new__(cls, name, bases, attrs)
# Now that we've created the class, we'll need to register it with our reference
# mapper. We only do this for types that are actually jsii types, and not any
# subclasses of them.
if jsii_type is not None:
_reference_map.register_type(obj)
return cast("JSIIMeta", obj)
def __call__(cls: Type[M], *args: Any, **kwargs) -> M:
# There is no way to constrain the metaclass of a `Type[M]` hint today, so we have to
# perform a `cast` trick here in order for MyPy to accept this code as valid... The implicit
# arguments to `super()` otherwise are `super(__class__, cls)`, which results in an error.
inst = super(JSIIMeta, cast(JSIIMeta, cls)).__call__(*args, **kwargs)
# Register this instance with our reference map.
_reference_map.register_reference(inst)
return inst
| (name: str, bases: tuple, attrs: dict, *, jsii_type: Optional[str] = None) -> 'JSIIMeta' | [
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5,055 | jsii._runtime | __new__ | null | def __new__(
cls: Type["JSIIMeta"],
name: str,
bases: tuple,
attrs: dict,
*,
jsii_type: Optional[str] = None,
) -> "JSIIMeta":
# We want to ensure that subclasses of a JSII class do not require setting the
# jsii_type keyword argument. They should be able to subclass it as normal.
# Since their parent class will have the __jsii_type__ variable defined, they
# will as well anyways.
if jsii_type is not None:
attrs["__jsii_type__"] = jsii_type
# The declared type should NOT be inherited by subclasses. This way we can identify whether
# an MRO entry corresponds to a possible overrides contributor or not.
attrs["__jsii_declared_type__"] = jsii_type
obj = super().__new__(cls, name, bases, attrs)
# Now that we've created the class, we'll need to register it with our reference
# mapper. We only do this for types that are actually jsii types, and not any
# subclasses of them.
if jsii_type is not None:
_reference_map.register_type(obj)
return cast("JSIIMeta", obj)
| (cls: Type[jsii._runtime.JSIIMeta], name: str, bases: tuple, attrs: dict, *, jsii_type: Optional[str] = None) -> jsii._runtime.JSIIMeta | [
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] |
5,064 | jsii._runtime | data_type | null | def data_type(
*,
jsii_type: str,
jsii_struct_bases: List[Type[Any]],
name_mapping: Mapping[str, str],
) -> Callable[[T], T]:
def deco(cls):
cls.__jsii_type__ = jsii_type
cls.__jsii_struct_bases__ = jsii_struct_bases
cls.__jsii_name_mapping__ = name_mapping
_reference_map.register_data_type(cls)
return cls
return deco
| (*, jsii_type: str, jsii_struct_bases: List[Type[Any]], name_mapping: Mapping[str, str]) -> Callable[[~T], ~T] | [
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] |
5,065 | jsii._runtime | enum | null | def enum(*, jsii_type: str) -> Callable[[T], T]:
def deco(cls):
cls.__jsii_type__ = jsii_type
_reference_map.register_enum(cls)
return cls
return deco
| (*, jsii_type: str) -> Callable[[~T], ~T] | [
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] |
5,067 | jsii._runtime | implements | null | def implements(*interfaces: Type[Any]) -> Callable[[T], T]:
def deco(cls):
cls.__jsii_type__ = getattr(cls, "__jsii_type__", None)
cls.__jsii_ifaces__ = getattr(cls, "__jsii_ifaces__", []) + list(interfaces)
return cls
return deco
| (*interfaces: Type[Any]) -> Callable[[~T], ~T] | [
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-0.0020816996693611145,
-0.02074541337788105
] |
5,068 | jsii._runtime | interface | null | def interface(*, jsii_type: str) -> Callable[[T], T]:
def deco(iface):
iface.__jsii_type__ = jsii_type
_reference_map.register_interface(iface)
return iface
return deco
| (*, jsii_type: str) -> Callable[[~T], ~T] | [
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5,069 | jsii._runtime | member | null | def member(*, jsii_name: str) -> Callable[[F], F]:
def deco(fn):
fn.__jsii_name__ = jsii_name
return fn
return deco
| (*, jsii_name: str) -> Callable[[~F], ~F] | [
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5,070 | jsii._runtime | proxy_for | null | def proxy_for(abstract_class: Type[Any]) -> Type[Any]:
if not hasattr(abstract_class, "__jsii_proxy_class__"):
raise TypeError(f"{abstract_class} is not a JSII Abstract class.")
return cast(Any, abstract_class).__jsii_proxy_class__()
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5,073 | collections.abc | ItemsView | null | from collections.abc import ItemsView
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] |
5,094 | collections.abc | KeysView | null | from collections.abc import KeysView
| (mapping) | [
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] |
5,115 | serpent | Serializer |
Serialize an object tree to a byte stream.
It is not thread-safe: make sure you're not making changes to the
object tree that is being serialized, and don't use the same serializer
across different threads.
| class Serializer(object):
"""
Serialize an object tree to a byte stream.
It is not thread-safe: make sure you're not making changes to the
object tree that is being serialized, and don't use the same serializer
across different threads.
"""
dispatch = {}
def __init__(self, indent=False, module_in_classname=False, bytes_repr=False):
"""
Initialize the serializer.
indent=indent the output over multiple lines (default=false)
module_in_classname = include module prefix for class names or only use the class name itself
bytes_repr = should the bytes literal value representation be used instead of base-64 encoding for bytes types?
"""
self.indent = indent
self.module_in_classname = module_in_classname
self.serialized_obj_ids = set()
self.special_classes_registry_copy = None
self.maximum_level = min(sys.getrecursionlimit() // 5, 1000)
self.bytes_repr = bytes_repr
def serialize(self, obj):
"""Serialize the object tree to bytes."""
self.special_classes_registry_copy = _special_classes_registry.copy() # make it thread safe
header = "# serpent utf-8 python3.2\n"
out = [header]
try:
gc.disable()
self.serialized_obj_ids = set()
self._serialize(obj, out, 0)
finally:
gc.enable()
self.special_classes_registry_copy = None
del self.serialized_obj_ids
return "".join(out).encode("utf-8")
_shortcut_dispatch_types = {float, complex, tuple, list, dict, set, frozenset}
def _serialize(self, obj, out, level):
if level > self.maximum_level:
raise ValueError(
"Object graph nesting too deep. Increase serializer.maximum_level if you think you need more, "
" but this may cause a RecursionError instead if Python's recursion limit doesn't allow it.")
t = type(obj)
if t in _bytes_types:
out.append(_translate_byte_type(t, obj, self.bytes_repr))
return
if t in _translate_types:
obj = _translate_types[t](obj)
t = type(obj)
if t in _repr_types:
out.append(repr(obj)) # just a simple repr() is enough for these objects
return
if t in self._shortcut_dispatch_types:
# we shortcut these builtins directly to the dispatch function to avoid type lookup overhead below
return self.dispatch[t](self, obj, out, level)
# check special registered types:
special_classes = self.special_classes_registry_copy
for clazz in special_classes:
if isinstance(obj, clazz):
special_classes[clazz](obj, self, out, level)
return
# serialize dispatch
try:
func = self.dispatch[t]
except KeyError:
# walk the MRO until we find a base class we recognise
for type_ in t.__mro__:
if type_ in self.dispatch:
func = self.dispatch[type_]
break
else:
# fall back to the default class serializer
func = Serializer.ser_default_class
func(self, obj, out, level)
def ser_builtins_float(self, float_obj, out, level):
if math.isnan(float_obj):
# there's no literal expression for a float NaN...
out.append("{'__class__':'float','value':'nan'}")
elif math.isinf(float_obj):
# output a literal expression that overflows the float and results in +/-INF
if float_obj > 0:
out.append("1e30000")
else:
out.append("-1e30000")
else:
out.append(repr(float_obj))
dispatch[float] = ser_builtins_float
def ser_builtins_complex(self, complex_obj, out, level):
out.append("(")
self.ser_builtins_float(complex_obj.real, out, level)
if complex_obj.imag >= 0:
out.append("+")
self.ser_builtins_float(complex_obj.imag, out, level)
out.append("j)")
dispatch[complex] = ser_builtins_complex
def ser_builtins_tuple(self, tuple_obj, out, level):
append = out.append
serialize = self._serialize
if self.indent and tuple_obj:
indent_chars = " " * level
indent_chars_inside = indent_chars + " "
append("(\n")
for elt in tuple_obj:
append(indent_chars_inside)
serialize(elt, out, level + 1)
append(",\n")
out[-1] = out[-1].rstrip() # remove the last \n
if len(tuple_obj) > 1:
del out[-1] # undo the last ,
append("\n" + indent_chars + ")")
else:
append("(")
for elt in tuple_obj:
serialize(elt, out, level + 1)
append(",")
if len(tuple_obj) > 1:
del out[-1] # undo the last ,
append(")")
dispatch[tuple] = ser_builtins_tuple
def ser_builtins_list(self, list_obj, out, level):
if id(list_obj) in self.serialized_obj_ids:
raise ValueError("Circular reference detected (list)")
self.serialized_obj_ids.add(id(list_obj))
append = out.append
serialize = self._serialize
if self.indent and list_obj:
indent_chars = " " * level
indent_chars_inside = indent_chars + " "
append("[\n")
for elt in list_obj:
append(indent_chars_inside)
serialize(elt, out, level + 1)
append(",\n")
del out[-1] # remove the last ,\n
append("\n" + indent_chars + "]")
else:
append("[")
for elt in list_obj:
serialize(elt, out, level + 1)
append(",")
if list_obj:
del out[-1] # remove the last ,
append("]")
self.serialized_obj_ids.discard(id(list_obj))
dispatch[list] = ser_builtins_list
def _check_hashable_type(self, t):
if t not in (bool, bytes, str, tuple) and not issubclass(t, numbers.Number):
if issubclass(t, enum.Enum):
return
raise TypeError("one of the keys in a dict or set is not of a primitive hashable type: " +
str(t) + ". Use simple types as keys or use a list or tuple as container.")
def ser_builtins_dict(self, dict_obj, out, level):
if id(dict_obj) in self.serialized_obj_ids:
raise ValueError("Circular reference detected (dict)")
self.serialized_obj_ids.add(id(dict_obj))
append = out.append
serialize = self._serialize
if self.indent and dict_obj:
indent_chars = " " * level
indent_chars_inside = indent_chars + " "
append("{\n")
dict_items = dict_obj.items()
try:
sorted_items = sorted(dict_items)
except TypeError: # can occur when elements can't be ordered (Python 3.x)
sorted_items = dict_items
for key, value in sorted_items:
append(indent_chars_inside)
self._check_hashable_type(type(key))
serialize(key, out, level + 1)
append(": ")
serialize(value, out, level + 1)
append(",\n")
del out[-1] # remove last ,\n
append("\n" + indent_chars + "}")
else:
append("{")
for key, value in dict_obj.items():
self._check_hashable_type(type(key))
serialize(key, out, level + 1)
append(":")
serialize(value, out, level + 1)
append(",")
if dict_obj:
del out[-1] # remove the last ,
append("}")
self.serialized_obj_ids.discard(id(dict_obj))
dispatch[dict] = ser_builtins_dict
def ser_builtins_set(self, set_obj, out, level):
append = out.ap | (indent=False, module_in_classname=False, bytes_repr=False) | [
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5,116 | serpent | __init__ |
Initialize the serializer.
indent=indent the output over multiple lines (default=false)
module_in_classname = include module prefix for class names or only use the class name itself
bytes_repr = should the bytes literal value representation be used instead of base-64 encoding for bytes types?
| def __init__(self, indent=False, module_in_classname=False, bytes_repr=False):
"""
Initialize the serializer.
indent=indent the output over multiple lines (default=false)
module_in_classname = include module prefix for class names or only use the class name itself
bytes_repr = should the bytes literal value representation be used instead of base-64 encoding for bytes types?
"""
self.indent = indent
self.module_in_classname = module_in_classname
self.serialized_obj_ids = set()
self.special_classes_registry_copy = None
self.maximum_level = min(sys.getrecursionlimit() // 5, 1000)
self.bytes_repr = bytes_repr
| (self, indent=False, module_in_classname=False, bytes_repr=False) | [
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5,117 | serpent | _check_hashable_type | null | def _check_hashable_type(self, t):
if t not in (bool, bytes, str, tuple) and not issubclass(t, numbers.Number):
if issubclass(t, enum.Enum):
return
raise TypeError("one of the keys in a dict or set is not of a primitive hashable type: " +
str(t) + ". Use simple types as keys or use a list or tuple as container.")
| (self, t) | [
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5,118 | serpent | _serialize | null | def _serialize(self, obj, out, level):
if level > self.maximum_level:
raise ValueError(
"Object graph nesting too deep. Increase serializer.maximum_level if you think you need more, "
" but this may cause a RecursionError instead if Python's recursion limit doesn't allow it.")
t = type(obj)
if t in _bytes_types:
out.append(_translate_byte_type(t, obj, self.bytes_repr))
return
if t in _translate_types:
obj = _translate_types[t](obj)
t = type(obj)
if t in _repr_types:
out.append(repr(obj)) # just a simple repr() is enough for these objects
return
if t in self._shortcut_dispatch_types:
# we shortcut these builtins directly to the dispatch function to avoid type lookup overhead below
return self.dispatch[t](self, obj, out, level)
# check special registered types:
special_classes = self.special_classes_registry_copy
for clazz in special_classes:
if isinstance(obj, clazz):
special_classes[clazz](obj, self, out, level)
return
# serialize dispatch
try:
func = self.dispatch[t]
except KeyError:
# walk the MRO until we find a base class we recognise
for type_ in t.__mro__:
if type_ in self.dispatch:
func = self.dispatch[type_]
break
else:
# fall back to the default class serializer
func = Serializer.ser_default_class
func(self, obj, out, level)
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5,119 | serpent | get_class_name | null | def get_class_name(self, obj):
if self.module_in_classname:
return "%s.%s" % (obj.__class__.__module__, obj.__class__.__name__)
else:
return obj.__class__.__name__
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5,120 | serpent | ser_array_array | null | def ser_array_array(self, array_obj, out, level):
if array_obj.typecode == 'u':
self._serialize(array_obj.tounicode(), out, level)
else:
self._serialize(array_obj.tolist(), out, level)
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5,121 | serpent | ser_builtins_complex | null | def ser_builtins_complex(self, complex_obj, out, level):
out.append("(")
self.ser_builtins_float(complex_obj.real, out, level)
if complex_obj.imag >= 0:
out.append("+")
self.ser_builtins_float(complex_obj.imag, out, level)
out.append("j)")
| (self, complex_obj, out, level) | [
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] |
5,122 | serpent | ser_builtins_dict | null | def ser_builtins_dict(self, dict_obj, out, level):
if id(dict_obj) in self.serialized_obj_ids:
raise ValueError("Circular reference detected (dict)")
self.serialized_obj_ids.add(id(dict_obj))
append = out.append
serialize = self._serialize
if self.indent and dict_obj:
indent_chars = " " * level
indent_chars_inside = indent_chars + " "
append("{\n")
dict_items = dict_obj.items()
try:
sorted_items = sorted(dict_items)
except TypeError: # can occur when elements can't be ordered (Python 3.x)
sorted_items = dict_items
for key, value in sorted_items:
append(indent_chars_inside)
self._check_hashable_type(type(key))
serialize(key, out, level + 1)
append(": ")
serialize(value, out, level + 1)
append(",\n")
del out[-1] # remove last ,\n
append("\n" + indent_chars + "}")
else:
append("{")
for key, value in dict_obj.items():
self._check_hashable_type(type(key))
serialize(key, out, level + 1)
append(":")
serialize(value, out, level + 1)
append(",")
if dict_obj:
del out[-1] # remove the last ,
append("}")
self.serialized_obj_ids.discard(id(dict_obj))
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5,123 | serpent | ser_builtins_float | null | def ser_builtins_float(self, float_obj, out, level):
if math.isnan(float_obj):
# there's no literal expression for a float NaN...
out.append("{'__class__':'float','value':'nan'}")
elif math.isinf(float_obj):
# output a literal expression that overflows the float and results in +/-INF
if float_obj > 0:
out.append("1e30000")
else:
out.append("-1e30000")
else:
out.append(repr(float_obj))
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5,124 | serpent | ser_builtins_frozenset | null | def ser_builtins_frozenset(self, set_obj, out, level):
self.ser_builtins_set(set_obj, out, level)
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5,125 | serpent | ser_builtins_list | null | def ser_builtins_list(self, list_obj, out, level):
if id(list_obj) in self.serialized_obj_ids:
raise ValueError("Circular reference detected (list)")
self.serialized_obj_ids.add(id(list_obj))
append = out.append
serialize = self._serialize
if self.indent and list_obj:
indent_chars = " " * level
indent_chars_inside = indent_chars + " "
append("[\n")
for elt in list_obj:
append(indent_chars_inside)
serialize(elt, out, level + 1)
append(",\n")
del out[-1] # remove the last ,\n
append("\n" + indent_chars + "]")
else:
append("[")
for elt in list_obj:
serialize(elt, out, level + 1)
append(",")
if list_obj:
del out[-1] # remove the last ,
append("]")
self.serialized_obj_ids.discard(id(list_obj))
| (self, list_obj, out, level) | [
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] |
5,126 | serpent | ser_builtins_set | null | def ser_builtins_set(self, set_obj, out, level):
append = out.append
serialize = self._serialize
if self.indent and set_obj:
indent_chars = " " * level
indent_chars_inside = indent_chars + " "
append("{\n")
try:
sorted_elts = sorted(set_obj)
except TypeError: # can occur when elements can't be ordered (Python 3.x)
sorted_elts = set_obj
for elt in sorted_elts:
append(indent_chars_inside)
self._check_hashable_type(type(elt))
serialize(elt, out, level + 1)
append(",\n")
del out[-1] # remove the last ,\n
append("\n" + indent_chars + "}")
elif set_obj:
append("{")
for elt in set_obj:
self._check_hashable_type(type(elt))
serialize(elt, out, level + 1)
append(",")
del out[-1] # remove the last ,
append("}")
else:
# empty set literal doesn't exist unfortunately, replace with empty tuple
self.ser_builtins_tuple((), out, level)
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5,127 | serpent | ser_builtins_tuple | null | def ser_builtins_tuple(self, tuple_obj, out, level):
append = out.append
serialize = self._serialize
if self.indent and tuple_obj:
indent_chars = " " * level
indent_chars_inside = indent_chars + " "
append("(\n")
for elt in tuple_obj:
append(indent_chars_inside)
serialize(elt, out, level + 1)
append(",\n")
out[-1] = out[-1].rstrip() # remove the last \n
if len(tuple_obj) > 1:
del out[-1] # undo the last ,
append("\n" + indent_chars + ")")
else:
append("(")
for elt in tuple_obj:
serialize(elt, out, level + 1)
append(",")
if len(tuple_obj) > 1:
del out[-1] # undo the last ,
append(")")
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5,128 | serpent | ser_datetime_date | null | def ser_datetime_date(self, date_obj, out, level):
out.append(repr(date_obj.isoformat()))
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5,129 | serpent | ser_datetime_datetime | null | def ser_datetime_datetime(self, datetime_obj, out, level):
out.append(repr(datetime_obj.isoformat()))
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5,130 | serpent | ser_datetime_time | null | def ser_datetime_time(self, time_obj, out, level):
out.append(repr(str(time_obj)))
| (self, time_obj, out, level) | [
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5,131 | serpent | ser_datetime_timedelta | null | def ser_datetime_timedelta(self, timedelta_obj, out, level):
secs = timedelta_obj.total_seconds()
out.append(repr(secs))
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5,132 | serpent | ser_decimal_Decimal | null | def ser_decimal_Decimal(self, decimal_obj, out, level):
# decimal is serialized as a string to avoid losing precision
out.append(repr(str(decimal_obj)))
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] |
5,133 | serpent | ser_default_class | null | def ser_default_class(self, obj, out, level):
if id(obj) in self.serialized_obj_ids:
raise ValueError("Circular reference detected (class)")
self.serialized_obj_ids.add(id(obj))
try:
# note: python 3.11+ object itself now has __getstate__
has_own_getstate = (
hasattr(type(obj), '__getstate__')
and type(obj).__getstate__ is not getattr(object, '__getstate__', None)
)
if has_own_getstate:
value = obj.__getstate__()
if isinstance(value, dict):
self.ser_builtins_dict(value, out, level)
return
else:
try:
value = dict(vars(obj)) # make sure we can serialize anything that resembles a dict
value["__class__"] = self.get_class_name(obj)
except TypeError:
if hasattr(obj, "__slots__"):
# use the __slots__ instead of the vars dict
value = {}
for slot in obj.__slots__:
value[slot] = getattr(obj, slot)
value["__class__"] = self.get_class_name(obj)
else:
raise TypeError("don't know how to serialize class " +
str(obj.__class__) + ". Give it vars() or an appropriate __getstate__")
self._serialize(value, out, level)
finally:
self.serialized_obj_ids.discard(id(obj))
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5,134 | serpent | ser_exception_class | null | def ser_exception_class(self, exc_obj, out, level):
value = {
"__class__": self.get_class_name(exc_obj),
"__exception__": True,
"args": exc_obj.args,
"attributes": vars(exc_obj) # add any custom attributes
}
self._serialize(value, out, level)
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5,135 | serpent | ser_uuid_UUID | null | def ser_uuid_UUID(self, uuid_obj, out, level):
out.append(repr(str(uuid_obj)))
| (self, uuid_obj, out, level) | [
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] |
5,136 | serpent | serialize | Serialize the object tree to bytes. | def serialize(self, obj):
"""Serialize the object tree to bytes."""
self.special_classes_registry_copy = _special_classes_registry.copy() # make it thread safe
header = "# serpent utf-8 python3.2\n"
out = [header]
try:
gc.disable()
self.serialized_obj_ids = set()
self._serialize(obj, out, 0)
finally:
gc.enable()
self.special_classes_registry_copy = None
del self.serialized_obj_ids
return "".join(out).encode("utf-8")
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5,137 | collections.abc | ValuesView | null | from collections.abc import ValuesView
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5,143 | serpent | _reset_special_classes_registry | null | def _reset_special_classes_registry():
_special_classes_registry.clear()
_special_classes_registry[KeysView] = _ser_DictView
_special_classes_registry[ValuesView] = _ser_DictView
_special_classes_registry[ItemsView] = _ser_DictView
_special_classes_registry[collections.OrderedDict] = _ser_OrderedDict
def _ser_Enum(obj, serializer, outputstream, indentlevel):
serializer._serialize(obj.value, outputstream, indentlevel)
_special_classes_registry[enum.Enum] = _ser_Enum
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5,144 | serpent | _ser_DictView | null | def _ser_DictView(obj, serializer, outputstream, indentlevel):
serializer.ser_builtins_list(obj, outputstream, indentlevel)
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5,145 | serpent | _ser_OrderedDict | null | def _ser_OrderedDict(obj, serializer, outputstream, indentlevel):
obj = {
"__class__": "collections.OrderedDict" if serializer.module_in_classname else "OrderedDict",
"items": list(obj.items())
}
serializer._serialize(obj, outputstream, indentlevel)
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5,146 | serpent | _translate_byte_type | null | def _translate_byte_type(t, data, bytes_repr):
if bytes_repr:
if t == bytes:
return repr(data)
elif t == bytearray:
return repr(bytes(data))
elif t == memoryview:
return repr(bytes(data))
else:
raise TypeError("invalid bytes type")
else:
b64 = base64.b64encode(data)
return repr({
"data": b64 if type(b64) is str else b64.decode("ascii"),
"encoding": "base64"
})
| (t, data, bytes_repr) | [
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] |
5,154 | serpent | dump |
Serialize object tree to a file.
indent = indent the output over multiple lines (default=false)
module_in_classname = include module prefix for class names or only use the class name itself
bytes_repr = should the bytes literal value representation be used instead of base-64 encoding for bytes types?
| def dump(obj, file, indent=False, module_in_classname=False, bytes_repr=False):
"""
Serialize object tree to a file.
indent = indent the output over multiple lines (default=false)
module_in_classname = include module prefix for class names or only use the class name itself
bytes_repr = should the bytes literal value representation be used instead of base-64 encoding for bytes types?
"""
file.write(dumps(obj, indent=indent, module_in_classname=module_in_classname, bytes_repr=bytes_repr))
| (obj, file, indent=False, module_in_classname=False, bytes_repr=False) | [
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] |
5,155 | serpent | dumps |
Serialize object tree to bytes.
indent = indent the output over multiple lines (default=false)
module_in_classname = include module prefix for class names or only use the class name itself
bytes_repr = should the bytes literal value representation be used instead of base-64 encoding for bytes types?
| def dumps(obj, indent=False, module_in_classname=False, bytes_repr=False):
"""
Serialize object tree to bytes.
indent = indent the output over multiple lines (default=false)
module_in_classname = include module prefix for class names or only use the class name itself
bytes_repr = should the bytes literal value representation be used instead of base-64 encoding for bytes types?
"""
return Serializer(indent, module_in_classname, bytes_repr).serialize(obj)
| (obj, indent=False, module_in_classname=False, bytes_repr=False) | [
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5,158 | serpent | load | Deserialize bytes from a file back to object tree. Uses ast.literal_eval (safe). | def load(file):
"""Deserialize bytes from a file back to object tree. Uses ast.literal_eval (safe)."""
data = file.read()
return loads(data)
| (file) | [
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5,159 | serpent | loads | Deserialize bytes back to object tree. Uses ast.literal_eval (safe). | def loads(serialized_bytes):
"""Deserialize bytes back to object tree. Uses ast.literal_eval (safe)."""
serialized = codecs.decode(serialized_bytes, "utf-8")
if '\x00' in serialized:
raise ValueError(
"The serpent data contains 0-bytes so it cannot be parsed by ast.literal_eval. Has it been corrupted?")
try:
gc.disable()
return ast.literal_eval(serialized)
finally:
gc.enable()
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] |
5,162 | serpent | register_class |
Register a special serializer function for objects of the given class.
The function will be called with (object, serpent_serializer, outputstream, indentlevel) arguments.
The function must write the serialized data to outputstream. It doesn't return a value.
| def register_class(clazz, serializer):
"""
Register a special serializer function for objects of the given class.
The function will be called with (object, serpent_serializer, outputstream, indentlevel) arguments.
The function must write the serialized data to outputstream. It doesn't return a value.
"""
_special_classes_registry[clazz] = serializer
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] |
5,164 | serpent | tobytes |
Utility function to convert obj back to actual bytes if it is a serpent-encoded bytes dictionary
(a dict with base-64 encoded 'data' in it and 'encoding'='base64').
If obj is already bytes or a byte-like type, return obj unmodified.
Will raise TypeError if obj is none of the above.
All this is not required if you called serpent with 'bytes_repr' set to True, since Serpent 1.40
that can be used to directly encode bytes into the bytes literal value representation.
That will be less efficient than the default base-64 encoding though, but it's a bit more convenient.
| def tobytes(obj):
"""
Utility function to convert obj back to actual bytes if it is a serpent-encoded bytes dictionary
(a dict with base-64 encoded 'data' in it and 'encoding'='base64').
If obj is already bytes or a byte-like type, return obj unmodified.
Will raise TypeError if obj is none of the above.
All this is not required if you called serpent with 'bytes_repr' set to True, since Serpent 1.40
that can be used to directly encode bytes into the bytes literal value representation.
That will be less efficient than the default base-64 encoding though, but it's a bit more convenient.
"""
if isinstance(obj, _bytes_types):
return obj
if isinstance(obj, dict) and "data" in obj and obj.get("encoding") == "base64":
try:
return base64.b64decode(obj["data"])
except TypeError:
return base64.b64decode(obj["data"].encode("ascii")) # needed for certain older versions of pypy
raise TypeError("argument is neither bytes nor serpent base64 encoded bytes dict")
| (obj) | [
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5,165 | serpent | unregister_class | Unregister the specialcase serializer for the given class. | def unregister_class(clazz):
"""Unregister the specialcase serializer for the given class."""
if clazz in _special_classes_registry:
del _special_classes_registry[clazz]
| (clazz) | [
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5,167 | releases | BulletListVisitor | null | class BulletListVisitor(nodes.NodeVisitor):
def __init__(self, document, app, docnames, is_singlepage):
nodes.NodeVisitor.__init__(self, document)
self.found_changelog = False
self.app = app
# document names to seek out (eg "changelog")
self.docnames = docnames
self.is_singlepage = is_singlepage
def visit_bullet_list(self, node):
# Short circuit if already mutated a changelog bullet list or if the
# one being visited doesn't appear to apply.
if self.found_changelog:
return
# Also short circuit if we're in singlepage mode and the node's parent
# doesn't seem to be named after an expected changelog docname. In this
# mode, this is the earliest we can actually tell whether a given
# bullet list is or is not "the changelog".
if (
self.is_singlepage
and node.parent.attributes.get("docname", None)
not in self.docnames
):
return
# At this point, we can safely assume the node we're visiting is the
# right one to mutate.
self.found_changelog = True
# Walk + parse into release mapping
releases, _ = construct_releases(node.children, self.app)
# Construct new set of nodes to replace the old, and we're done
node.replace_self(construct_nodes(releases))
def unknown_visit(self, node):
pass
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5,168 | releases | __init__ | null | def __init__(self, document, app, docnames, is_singlepage):
nodes.NodeVisitor.__init__(self, document)
self.found_changelog = False
self.app = app
# document names to seek out (eg "changelog")
self.docnames = docnames
self.is_singlepage = is_singlepage
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] |
5,169 | docutils.nodes | dispatch_departure |
Call self."``depart_`` + node class name" with `node` as
parameter. If the ``depart_...`` method does not exist, call
self.unknown_departure.
| def dispatch_departure(self, node):
"""
Call self."``depart_`` + node class name" with `node` as
parameter. If the ``depart_...`` method does not exist, call
self.unknown_departure.
"""
node_name = node.__class__.__name__
method = getattr(self, 'depart_' + node_name, self.unknown_departure)
self.document.reporter.debug(
'docutils.nodes.NodeVisitor.dispatch_departure calling %s for %s'
% (method.__name__, node_name))
return method(node)
| (self, node) | [
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] |
5,170 | docutils.nodes | dispatch_visit |
Call self."``visit_`` + node class name" with `node` as
parameter. If the ``visit_...`` method does not exist, call
self.unknown_visit.
| def dispatch_visit(self, node):
"""
Call self."``visit_`` + node class name" with `node` as
parameter. If the ``visit_...`` method does not exist, call
self.unknown_visit.
"""
node_name = node.__class__.__name__
method = getattr(self, 'visit_' + node_name, self.unknown_visit)
self.document.reporter.debug(
'docutils.nodes.NodeVisitor.dispatch_visit calling %s for %s'
% (method.__name__, node_name))
return method(node)
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] |
5,171 | docutils.nodes | unknown_departure |
Called before exiting unknown `Node` types.
Raise exception unless overridden.
| def unknown_departure(self, node):
"""
Called before exiting unknown `Node` types.
Raise exception unless overridden.
"""
if (self.document.settings.strict_visitor
or node.__class__.__name__ not in self.optional):
raise NotImplementedError(
'%s departing unknown node type: %s'
% (self.__class__, node.__class__.__name__))
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5,172 | releases | unknown_visit | null | def unknown_visit(self, node):
pass
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] |
5,173 | releases | visit_bullet_list | null | def visit_bullet_list(self, node):
# Short circuit if already mutated a changelog bullet list or if the
# one being visited doesn't appear to apply.
if self.found_changelog:
return
# Also short circuit if we're in singlepage mode and the node's parent
# doesn't seem to be named after an expected changelog docname. In this
# mode, this is the earliest we can actually tell whether a given
# bullet list is or is not "the changelog".
if (
self.is_singlepage
and node.parent.attributes.get("docname", None)
not in self.docnames
):
return
# At this point, we can safely assume the node we're visiting is the
# right one to mutate.
self.found_changelog = True
# Walk + parse into release mapping
releases, _ = construct_releases(node.children, self.app)
# Construct new set of nodes to replace the old, and we're done
node.replace_self(construct_nodes(releases))
| (self, node) | [
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] |
5,174 | releases.models | Issue | null | class Issue(nodes.Element):
# Technically, we just need number, but heck, you never know...
_cmp_keys = ("type", "number", "backported", "major")
@property
def type(self):
return self["type_"]
@property
def is_featurelike(self):
if self.type == "bug":
return self.major
else:
return not self.backported
@property
def is_buglike(self):
return not self.is_featurelike
@property
def backported(self):
return self.get("backported", False)
@property
def major(self):
return self.get("major", False)
@property
def number(self):
return self.get("number", None)
@property
def spec(self):
return self.get("spec", None)
def __eq__(self, other):
for attr in self._cmp_keys:
if getattr(self, attr, None) != getattr(other, attr, None):
return False
return True
def __hash__(self):
return reduce(xor, [hash(getattr(self, x)) for x in self._cmp_keys])
def minor_releases(self, manager):
"""
Return all minor release line labels found in ``manager``.
"""
# TODO: yea deffo need a real object for 'manager', heh. E.g. we do a
# very similar test for "do you have any actual releases yet?"
# elsewhere. (This may be fodder for changing how we roll up
# pre-major-release features though...?)
return [
key
for key, value in manager.items()
if any(x for x in value if not x.startswith("unreleased"))
]
def default_spec(self, manager):
"""
Given the current release-lines structure, return a default Spec.
Specifics:
* For feature-like issues, only the highest major release is used, so
given a ``manager`` with top level keys of ``[1, 2]``, this would
return ``Spec(">=2")``.
* When ``releases_always_forwardport_features`` is ``True``, that
behavior is nullified, and this function always returns the empty
``Spec`` (which matches any and all versions/lines).
* For bugfix-like issues, we only consider major release families which
have actual releases already.
* Thus the core difference here is that features are 'consumed' by
upcoming major releases, and bugfixes are not.
* When the ``unstable_prehistory`` setting is ``True``, the default
spec starts at the oldest non-zero release line. (Otherwise, issues
posted after prehistory ends would try being added to the 0.x part of
the tree, which makes no sense in unstable-prehistory mode.)
"""
# TODO: I feel like this + the surrounding bits in add_to_manager()
# could be consolidated & simplified...
specstr = ""
# Make sure truly-default spec skips 0.x if prehistory was unstable.
stable_families = manager.stable_families
if manager.config.releases_unstable_prehistory and stable_families:
specstr = ">={}".format(min(stable_families))
if self.is_featurelike:
# TODO: if app->config-><releases_always_forwardport_features or
# w/e
if True:
specstr = ">={}".format(max(manager.keys()))
else:
# Can only meaningfully limit to minor release buckets if they
# actually exist yet.
buckets = self.minor_releases(manager)
if buckets:
specstr = ">={}".format(max(buckets))
return Spec(specstr) if specstr else Spec()
def add_to_manager(self, manager):
"""
Given a 'manager' structure, add self to one or more of its 'buckets'.
"""
# Derive version spec allowing us to filter against major/minor buckets
spec = self.spec or self.default_spec(manager)
# Only look in appropriate major version/family; if self is an issue
# declared as living in e.g. >=2, this means we don't even bother
# looking in the 1.x family.
families = [Version(str(x)) for x in manager]
versions = list(spec.filter(families))
for version in versions:
family = version.major
# Within each family, we further limit which bugfix lines match up
# to what self cares about (ignoring 'unreleased' until later)
candidates = [
Version(x)
for x in manager[family]
if not x.startswith("unreleased")
]
# Select matching release lines (& stringify)
buckets = []
bugfix_buckets = [str(x) for x in spec.filter(candidates)]
# Add back in unreleased_* as appropriate
# TODO: probably leverage Issue subclasses for this eventually?
if self.is_buglike:
buckets.extend(bugfix_buckets)
# Don't put into JUST unreleased_bugfix; it implies that this
# major release/family hasn't actually seen any releases yet
# and only exists for features to go into.
if bugfix_buckets:
buckets.append("unreleased_bugfix")
# Obtain list of minor releases to check for "haven't had ANY
# releases yet" corner case, in which case ALL issues get thrown in
# unreleased_feature for the first release to consume.
# NOTE: assumes first release is a minor or major one,
# but...really? why would your first release be a bugfix one??
no_releases = not self.minor_releases(manager)
if self.is_featurelike or self.backported or no_releases:
buckets.append("unreleased_feature")
# Now that we know which buckets are appropriate, add ourself to
# all of them. TODO: or just...do it above...instead...
for bucket in buckets:
manager[family][bucket].append(self)
def __repr__(self):
flag = ""
if self.backported:
flag = "backported"
elif self.major:
flag = "major"
elif self.spec:
flag = self.spec
if flag:
flag = " ({})".format(flag)
return "<{issue.type} #{issue.number}{flag}>".format(
issue=self, flag=flag
)
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5,175 | docutils.nodes | __add__ | null | def __add__(self, other):
return self.children + other
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5,176 | docutils.nodes | __bool__ |
Node instances are always true, even if they're empty. A node is more
than a simple container. Its boolean "truth" does not depend on
having one or more subnodes in the doctree.
Use `len()` to check node length.
| def __bool__(self):
"""
Node instances are always true, even if they're empty. A node is more
than a simple container. Its boolean "truth" does not depend on
having one or more subnodes in the doctree.
Use `len()` to check node length.
"""
return True
| (self) | [
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5,177 | docutils.nodes | __contains__ | null | def __contains__(self, key):
# Test for both, children and attributes with operator ``in``.
if isinstance(key, str):
return key in self.attributes
return key in self.children
| (self, key) | [
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] |
5,178 | docutils.nodes | __delitem__ | null | def __delitem__(self, key):
if isinstance(key, str):
del self.attributes[key]
elif isinstance(key, int):
del self.children[key]
elif isinstance(key, slice):
assert key.step in (None, 1), 'cannot handle slice with stride'
del self.children[key.start:key.stop]
else:
raise TypeError('element index must be an integer, a simple '
'slice, or an attribute name string')
| (self, key) | [
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5,179 | releases.models | __eq__ | null | def __eq__(self, other):
for attr in self._cmp_keys:
if getattr(self, attr, None) != getattr(other, attr, None):
return False
return True
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5,180 | docutils.nodes | __getitem__ | null | def __getitem__(self, key):
if isinstance(key, str):
return self.attributes[key]
elif isinstance(key, int):
return self.children[key]
elif isinstance(key, slice):
assert key.step in (None, 1), 'cannot handle slice with stride'
return self.children[key.start:key.stop]
else:
raise TypeError('element index must be an integer, a slice, or '
'an attribute name string')
| (self, key) | [
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5,181 | releases.models | __hash__ | null | def __hash__(self):
return reduce(xor, [hash(getattr(self, x)) for x in self._cmp_keys])
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] |
5,182 | docutils.nodes | __iadd__ | Append a node or a list of nodes to `self.children`. | def __iadd__(self, other):
"""Append a node or a list of nodes to `self.children`."""
if isinstance(other, Node):
self.append(other)
elif other is not None:
self.extend(other)
return self
| (self, other) | [
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5,183 | docutils.nodes | __init__ | null | def __init__(self, rawsource='', *children, **attributes):
self.rawsource = rawsource
"""The raw text from which this element was constructed.
NOTE: some elements do not set this value (default '').
"""
self.children = []
"""List of child nodes (elements and/or `Text`)."""
self.extend(children) # maintain parent info
self.attributes = {}
"""Dictionary of attribute {name: value}."""
# Initialize list attributes.
for att in self.list_attributes:
self.attributes[att] = []
for att, value in attributes.items():
att = att.lower()
if att in self.list_attributes:
# mutable list; make a copy for this node
self.attributes[att] = value[:]
else:
self.attributes[att] = value
if self.tagname is None:
self.tagname = self.__class__.__name__
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5,184 | docutils.nodes | __len__ | null | def __len__(self):
return len(self.children)
| (self) | [
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5,185 | docutils.nodes | __radd__ | null | def __radd__(self, other):
return other + self.children
| (self, other) | [
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