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import io import re import typing as t import warnings from functools import partial from functools import update_wrapper from itertools import chain from ._internal import _make_encode_wrapper from ._internal import _to_bytes from ._internal import _to_str from .sansio import utils as _sansio_utils from .sansio.utils ...
Return the ``PATH_INFO`` from the WSGI environment and decode it unless ``charset`` is ``None``. :param environ: WSGI environment to get the path from. :param charset: The charset for the path info, or ``None`` if no decoding should be performed. :param errors: The decoding error handling. .. versionadded:: 0.9
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import io import re import typing as t import warnings from functools import partial from functools import update_wrapper from itertools import chain from ._internal import _make_encode_wrapper from ._internal import _to_bytes from ._internal import _to_str from .sansio import utils as _sansio_utils from .sansio.utils ...
Return the ``SCRIPT_NAME`` from the WSGI environment and decode it unless `charset` is set to ``None``. :param environ: WSGI environment to get the path from. :param charset: The charset for the path, or ``None`` if no decoding should be performed. :param errors: The decoding error handling. .. deprecated:: 2.2 Will be...
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import io import re import typing as t import warnings from functools import partial from functools import update_wrapper from itertools import chain from ._internal import _make_encode_wrapper from ._internal import _to_bytes from ._internal import _to_str from .sansio import utils as _sansio_utils from .sansio.utils ...
Removes and returns the next segment of `PATH_INFO`, pushing it onto `SCRIPT_NAME`. Returns `None` if there is nothing left on `PATH_INFO`. If the `charset` is set to `None` bytes are returned. If there are empty segments (``'/foo//bar``) these are ignored but properly pushed to the `SCRIPT_NAME`: >>> env = {'SCRIPT_NA...
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import io import re import typing as t import warnings from functools import partial from functools import update_wrapper from itertools import chain from ._internal import _make_encode_wrapper from ._internal import _to_bytes from ._internal import _to_str from .sansio import utils as _sansio_utils from .sansio.utils ...
Returns the next segment on the `PATH_INFO` or `None` if there is none. Works like :func:`pop_path_info` without modifying the environment: >>> env = {'SCRIPT_NAME': '/foo', 'PATH_INFO': '/a/b'} >>> peek_path_info(env) 'a' >>> peek_path_info(env) 'a' If the `charset` is set to `None` bytes are returned. .. deprecated::...
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import io import re import typing as t import warnings from functools import partial from functools import update_wrapper from itertools import chain from ._internal import _make_encode_wrapper from ._internal import _to_bytes from ._internal import _to_str from .sansio import utils as _sansio_utils from .sansio.utils ...
Extracts the path info from the given URL (or WSGI environment) and path. The path info returned is a string. The URLs might also be IRIs. If the path info could not be determined, `None` is returned. Some examples: >>> extract_path_info('http://example.com/app', '/app/hello') '/hello' >>> extract_path_info('http://exa...
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import io import re import typing as t import warnings from functools import partial from functools import update_wrapper from itertools import chain from ._internal import _make_encode_wrapper from ._internal import _to_bytes from ._internal import _to_str from .sansio import utils as _sansio_utils from .sansio.utils ...
Safely iterates line-based over an input stream. If the input stream is not a :class:`LimitedStream` the `limit` parameter is mandatory. This uses the stream's :meth:`~file.read` method internally as opposite to the :meth:`~file.readline` method that is unsafe and can only be used in violation of the WSGI specification...
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import typing as t from types import TracebackType from urllib.parse import urlparse from warnings import warn from ..datastructures import Headers from ..http import is_entity_header from ..wsgi import FileWrapper if t.TYPE_CHECKING: from _typeshed.wsgi import StartResponse from _typeshed.wsgi import WSGIAppli...
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import itertools import linecache import os import re import sys import sysconfig import traceback import typing as t from markupsafe import escape from ..utils import cached_property from .console import Console class DebugFrameSummary(traceback.FrameSummary): """A :class:`traceback.FrameSummary` that can evaluate...
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import itertools import linecache import os import re import sys import sysconfig import traceback import typing as t from markupsafe import escape from ..utils import cached_property from .console import Console CONSOLE_HTML = ( HEADER + """\ <h1>Interactive Console</h1> <div class="explanation"> In this conso...
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import codecs import re import sys import typing as t from collections import deque from traceback import format_exception_only from markupsafe import escape class DebugReprGenerator: def __init__(self) -> None: self._stack: t.List[t.Any] = [] list_repr = _sequence_repr_maker("[", "]", list) tuple_r...
Creates a debug repr of an object as HTML string.
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import codecs import re import sys import typing as t from collections import deque from traceback import format_exception_only from markupsafe import escape missing = object() class DebugReprGenerator: def __init__(self) -> None: self._stack: t.List[t.Any] = [] list_repr = _sequence_repr_maker("[", "]"...
Print the object details to stdout._write (for the interactive console of the web debugger.
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import codecs import re import sys import typing as t from collections import deque from traceback import format_exception_only from markupsafe import escape def _add_subclass_info( inner: str, obj: object, base: t.Union[t.Type, t.Tuple[t.Type, ...]] ) -> str: if isinstance(base, tuple): for cls in base...
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import codecs import hashlib import io import json import os import sys import atexit import shutil import tempfile The provided code snippet includes necessary dependencies for implementing the `get_filename4code` function. Write a Python function `def get_filename4code(module, content, ext=None)` to solve the follow...
Generate filename based on content The function ensures that the (temporary) directory exists, so that the file can be written. By default, the directory won't be cleaned up, so a filter can use the directory as a cache and decide not to regenerate if there's no change. In case the user preferres the files to be tempor...
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import codecs import hashlib import io import json import os import sys import atexit import shutil import tempfile def get_value(kv, key, value = None): """get value from the keyvalues (options)""" res = [] for k, v in kv: if k == key: value = v else: res.append([k, ...
get caption from the keyvalues (options) Example: if key == 'CodeBlock': [[ident, classes, keyvals], code] = value caption, typef, keyvals = get_caption(keyvals) ... return Para([Image([ident, [], keyvals], caption, [filename, typef])])
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import codecs import hashlib import io import json import os import sys import atexit import shutil import tempfile The provided code snippet includes necessary dependencies for implementing the `get_extension` function. Write a Python function `def get_extension(format, default, **alternates)` to solve the following ...
get the extension for the result, needs a default and some specialisations Example: filetype = get_extension(format, "png", html="svg", latex="eps")
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import codecs import hashlib import io import json import os import sys import atexit import shutil import tempfile def toJSONFilters(actions): """Generate a JSON-to-JSON filter from stdin to stdout The filter: * reads a JSON-formatted pandoc document from stdin * transforms it by walking the tree and p...
Like `toJSONFilters`, but takes a single action as argument.
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import codecs import hashlib import io import json import os import sys import atexit import shutil import tempfile The provided code snippet includes necessary dependencies for implementing the `attributes` function. Write a Python function `def attributes(attrs)` to solve the following problem: Returns an attribute ...
Returns an attribute list, constructed from the dictionary attrs.
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import codecs import hashlib import io import json import os import sys import atexit import shutil import tempfile def elt(eltType, numargs): def fun(*args): lenargs = len(args) if lenargs != numargs: raise ValueError(eltType + ' expects ' + str(numargs) + ...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings _marker = object() if hasattr(typing, 'Final') and sys.version_info[:2] >= (3, 7): Final = typing.Final # 3.7 else: Final = _FinalForm('Final', ...
Check correct count for parameters of a generic cls (internal helper). This gives a nice error message in case of count mismatch.
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings The provided code snippet includes necessary dependencies for implementing the `final` function. Write a Python function `def final(f)` to solve the follo...
This decorator can be used to indicate to type checkers that the decorated method cannot be overridden, and decorated class cannot be subclassed. For example: class Base: @final def done(self) -> None: ... class Sub(Base): def done(self) -> None: # Error reported by type checker ... @final class Leaf: ... class Other(L...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings class TypeVar(typing.TypeVar, _DefaultMixin, _root=True): """Type variable.""" __module__ = 'typing' def __init__(self, name, *constraints, bou...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings _overload_dummy = typing._overload_dummy The provided code snippet includes necessary dependencies for implementing the `overload` function. Write a Pytho...
Decorator for overloaded functions/methods. In a stub file, place two or more stub definitions for the same function in a row, each decorated with @overload. For example: @overload def utf8(value: None) -> None: ... @overload def utf8(value: bytes) -> bytes: ... @overload def utf8(value: str) -> bytes: ... In a non-stu...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings The provided code snippet includes necessary dependencies for implementing the `get_overloads` function. Write a Python function `def get_overloads(func)`...
Return all defined overloads for *func* as a sequence.
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings The provided code snippet includes necessary dependencies for implementing the `clear_overloads` function. Write a Python function `def clear_overloads()`...
Clear all overloads in the registry.
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings def _get_protocol_attrs(cls): attrs = set() for base in cls.__mro__[:-1]: # without object if base.__name__ in ('Protocol', 'Generic'): ...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings def _collect_type_vars(types, typevar_types=None): """Collect all type variable contained in types in order of first appearance (lexicographic orde...
Helper function used in Protocol.__init_subclass__ and _TypedDictMeta.__new__. The contents of this function are very similar to logic found in typing.Generic.__init_subclass__ on the CPython main branch.
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings def _no_init(self, *args, **kwargs): if type(self)._is_protocol: raise TypeError('Protocols cannot be instantiated')
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings if hasattr(typing, 'Protocol'): Protocol = typing.Protocol # 3.7 else: class _ProtocolMeta(abc.ABCMeta): # noqa: B024 # This metaclass is ...
Mark a protocol class as a runtime protocol, so that it can be used with isinstance() and issubclass(). Raise TypeError if applied to a non-protocol class. This allows a simple-minded structural check very similar to the one-offs in collections.abc such as Hashable.
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings if sys.version_info >= (3, 10): elif sys.version_info >= (3, 9): else: if sys.version_info >= (3, 11): from typing import Any else: if sys.version_info...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings def _dict_new(*args, **kwargs): if not args: raise TypeError('TypedDict.__new__(): not enough arguments') _, args = args[0], a...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings if sys.version_info >= (3, 10): elif sys.version_info >= (3, 9): else: if sys.version_info >= (3, 11): from typing import Any else: if sys.version_info...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings The provided code snippet includes necessary dependencies for implementing the `is_typeddict` function. Write a Python function `def is_typeddict(tp)` to ...
Check if an annotation is a TypedDict class For example:: class Film(TypedDict): title: str year: int is_typeddict(Film) # => True is_typeddict(Union[list, str]) # => False
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings The provided code snippet includes necessary dependencies for implementing the `assert_type` function. Write a Python function `def assert_type(__val, __t...
Assert (to the type checker) that the value is of the given type. When the type checker encounters a call to assert_type(), it emits an error if the value is not of the specified type:: def greet(name: str) -> None: assert_type(name, str) # ok assert_type(name, int) # type checker error At runtime this returns the firs...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings if hasattr(typing, 'Final') and sys.version_info[:2] >= (3, 7): Final = typing.Final # 3.7 else: Final = _FinalForm('Final', ...
Return type hints for an object. This is often the same as obj.__annotations__, but it handles forward references encoded as string literals, adds Optional[t] if a default value equal to None is set and recursively replaces all 'Annotated[T, ...]', 'Required[T]' or 'NotRequired[T]' with 'T' (unless 'include_extras=True...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings if hasattr(typing, 'Annotated'): Annotated = typing.Annotated # Not exported and not a public API, but needed for get_origin() and get_args() #...
Get type arguments with all substitutions performed. For unions, basic simplifications used by Union constructor are performed. Examples:: get_args(Dict[str, int]) == (str, int) get_args(int) == () get_args(Union[int, Union[T, int], str][int]) == (int, str) get_args(Union[int, Tuple[T, int]][str]) == (int, Tuple[str, i...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings The provided code snippet includes necessary dependencies for implementing the `TypeAlias` function. Write a Python function `def TypeAlias(self, paramete...
Special marker indicating that an assignment should be recognized as a proper type alias definition by type checkers. For example:: Predicate: TypeAlias = Callable[..., bool] It's invalid when used anywhere except as in the example above.
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings def _concatenate_getitem(self, parameters): if parameters == (): raise TypeError("Cannot take a Concatenate of no types.") if not isinstanc...
Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a higher order function which adds, removes or transforms parameters of a callable. For example:: Callable[Concatenate[int, P], int] See PEP 612 for detailed information.
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings The provided code snippet includes necessary dependencies for implementing the `TypeGuard` function. Write a Python function `def TypeGuard(self, paramete...
Special typing form used to annotate the return type of a user-defined type guard function. ``TypeGuard`` only accepts a single type argument. At runtime, functions marked this way should return a boolean. ``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static type checkers to determine a more pre...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings The provided code snippet includes necessary dependencies for implementing the `LiteralString` function. Write a Python function `def LiteralString(self, ...
Represents an arbitrary literal string. Example:: from typing_extensions import LiteralString def query(sql: LiteralString) -> ...: ... query("SELECT * FROM table") # ok query(f"SELECT * FROM {input()}") # not ok See PEP 675 for details.
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings The provided code snippet includes necessary dependencies for implementing the `Self` function. Write a Python function `def Self(self, params)` to solve ...
Used to spell the type of "self" in classes. Example:: from typing import Self class ReturnsSelf: def parse(self, data: bytes) -> Self: ... return self
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings if hasattr(typing, "Unpack"): # 3.11+ Unpack = typing.Unpack elif sys.version_info[:2] >= (3, 9): class _UnpackAlias(typing._GenericAlias, _root=T...
A special typing construct to unpack a variadic type. For example: Shape = TypeVarTuple('Shape') Batch = NewType('Batch', int) def add_batch_axis( x: Array[Unpack[Shape]] ) -> Array[Batch, Unpack[Shape]]: ...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings if sys.version_info >= (3, 10): elif sys.version_info >= (3, 9): else: T = typing.TypeVar('T') if sys.version_info >= (3, 11): from typing import ...
Reveal the inferred type of a variable. When a static type checker encounters a call to ``reveal_type()``, it will emit the inferred type of the argument:: x: int = 1 reveal_type(x) Running a static type checker (e.g., ``mypy``) on this example will produce output similar to 'Revealed type is "builtins.int"'. At runtim...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings if hasattr(typing, "Never"): Never = typing.Never else: def Never(self, params): """The bottom type, a type that has no members. Th...
Assert to the type checker that a line of code is unreachable. Example:: def int_or_str(arg: int | str) -> None: match arg: case int(): print("It's an int") case str(): print("It's a str") case _: assert_never(arg) If a type checker finds that a call to assert_never() is reachable, it will emit an error. At runtime, th...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings T = typing.TypeVar('T') if sys.version_info >= (3, 11): from typing import Any else: class Any(metaclass=_AnyMeta): """Special type in...
Decorator that marks a function, class, or metaclass as providing dataclass-like behavior. Example: from typing_extensions import dataclass_transform _T = TypeVar("_T") # Used on a decorator function @dataclass_transform() def create_model(cls: type[_T]) -> type[_T]: ... return cls @create_model class CustomerModel: id...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings The provided code snippet includes necessary dependencies for implementing the `override` function. Write a Python function `def override(__arg: _F) -> _F...
Indicate that a method is intended to override a method in a base class. Usage: class Base: def method(self) -> None: ... pass class Child(Base): @override def method(self) -> None: super().method() When this decorator is applied to a method, the type checker will validate that it overrides a method with the same name ...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings Type = typing.Type The provided code snippet includes necessary dependencies for implementing the `deprecated` function. Write a Python function `def depr...
Indicate that a class, function or overload is deprecated. Usage: @deprecated("Use B instead") class A: pass @deprecated("Use g instead") def f(): pass @overload @deprecated("int support is deprecated") def g(x: int) -> int: ... @overload def g(x: str) -> int: ... When this decorator is applied to an object, the type c...
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import abc import collections import collections.abc import functools import inspect import operator import sys import types as _types import typing import warnings if sys.version_info >= (3, 11): NamedTuple = typing.NamedTuple else: _prohibited_namedtuple_fields = typing._prohibited _special_namedtuple_fie...
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from collections.abc import Mapping, MutableMapping, Sequence from urllib.parse import urlsplit import itertools import json import re import sys The provided code snippet includes necessary dependencies for implementing the `load_schema` function. Write a Python function `def load_schema(name)` to solve the following...
Load a schema from ./schemas/``name``.json and return it.
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from collections.abc import Mapping, MutableMapping, Sequence from urllib.parse import urlsplit import itertools import json import re import sys The provided code snippet includes necessary dependencies for implementing the `format_as_index` function. Write a Python function `def format_as_index(container, indices)` ...
Construct a single string containing indexing operations for the indices. For example for a container ``bar``, [1, 2, "foo"] -> bar[1][2]["foo"] Arguments: container (str): A word to use for the thing being indexed indices (sequence): The indices to format.
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from json import JSONDecodeError from textwrap import dedent import argparse import json import sys import traceback import warnings import attr from jsonschema.exceptions import SchemaError from jsonschema.validators import RefResolver, validator_for def _resolve_name_with_default(name): if "." not in name: ...
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from json import JSONDecodeError from textwrap import dedent import argparse import json import sys import traceback import warnings import attr from jsonschema.exceptions import SchemaError from jsonschema.validators import RefResolver, validator_for parser = argparse.ArgumentParser( description="JSON Schema Valid...
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from json import JSONDecodeError from textwrap import dedent import argparse import json import sys import traceback import warnings import attr from jsonschema.exceptions import SchemaError from jsonschema.validators import RefResolver, validator_for class _CannotLoadFile(Exception): pass class _Outputter: _fo...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError _F = typing.TypeVar("_F", bound=_FormatCheckCallable) class FormatChecker: """ A ``format`` property che...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError def is_email(instance: object) -> bool: if not isinstance(instance, str): return True return "@...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError def is_ipv4(instance: object) -> bool: if not isinstance(instance, str): return True return boo...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError def is_ipv6(instance: object) -> bool: if not isinstance(instance, str): return True address = ...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError def is_host_name(instance: object) -> bool: if not isinstance(instance, str): return True ...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError def is_idn_host_name(instance: object) -> bool: if not isinstance(instance, str): return Tr...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError def validate_rfc3986(url, rule='URI'): """ Validates strings according to RFC3986 :param url: Stri...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError def validate_rfc3986(url, rule='URI'): """ Validates strings according to RFC3986 :param url: Stri...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError try: import rfc3987 except ImportError: with suppress(ImportError): from rfc3986_validator impor...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError try: import rfc3987 except ImportError: with suppress(ImportError): from rfc3986_validator impor...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError try: import rfc3987 except ImportError: with suppress(ImportError): from rfc3986_validator impor...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError try: import rfc3987 except ImportError: with suppress(ImportError): from rfc3986_validator impor...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError try: import rfc3987 except ImportError: with suppress(ImportError): from rfc3986_validator impor...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError def is_regex(instance: object) -> bool: if not isinstance(instance, str): return True return bo...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError def is_date(instance: object) -> bool: if not isinstance(instance, str): return True return boo...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError def is_draft3_time(instance: object) -> bool: if not isinstance(instance, str): return True ret...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError try: import rfc3987 except ImportError: with suppress(ImportError): from rfc3986_validator impor...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError def is_json_pointer(instance: object) -> bool: if not isinstance(instance, str): return Tru...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError def is_relative_json_pointer(instance: object) -> bool: # Definition taken from: # https://tool...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError def is_uri_template(instance: object) -> bool: if not isinstance(instance, str): return Tru...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError def is_duration(instance: object) -> bool: if not isinstance(instance, str): return True ...
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from __future__ import annotations from contextlib import suppress from uuid import UUID import datetime import ipaddress import re import typing import warnings from jsonschema.exceptions import FormatError class UUID: if sys.version_info >= (3, 7): def __init__( self, hex: Optiona...
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from jsonschema import _utils from jsonschema.exceptions import ValidationError def id_of_ignore_ref(property="$id"): def id_of(schema): """ Ignore an ``$id`` sibling of ``$ref`` if it is present. Otherwise, return the ID of the given schema. """ if schema is True or schema...
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from jsonschema import _utils from jsonschema.exceptions import ValidationError The provided code snippet includes necessary dependencies for implementing the `ignore_ref_siblings` function. Write a Python function `def ignore_ref_siblings(schema)` to solve the following problem: Ignore siblings of ``$ref`` if it is p...
Ignore siblings of ``$ref`` if it is present. Otherwise, return all keywords. Suitable for use with `create`'s ``applicable_validators`` argument.
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from jsonschema import _utils from jsonschema.exceptions import ValidationError class ValidationError(_Error): """ An instance was invalid under a provided schema. """ _word_for_schema_in_error_message = "schema" _word_for_instance_in_error_message = "instance" def dependencies_draft3(validator, ...
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from jsonschema import _utils from jsonschema.exceptions import ValidationError class ValidationError(_Error): """ An instance was invalid under a provided schema. """ _word_for_schema_in_error_message = "schema" _word_for_instance_in_error_message = "instance" The provided code snippet includes ...
Support for the ``dependencies`` keyword from pre-draft 2019-09. In later drafts, the keyword was split into separate ``dependentRequired`` and ``dependentSchemas`` validators.
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from jsonschema import _utils from jsonschema.exceptions import ValidationError class ValidationError(_Error): """ An instance was invalid under a provided schema. """ _word_for_schema_in_error_message = "schema" _word_for_instance_in_error_message = "instance" def disallow_draft3(validator, disa...
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from jsonschema import _utils from jsonschema.exceptions import ValidationError def extends_draft3(validator, extends, instance, schema): if validator.is_type(extends, "object"): yield from validator.descend(instance, extends) return for index, subschema in enumerate(extends): yield fro...
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from jsonschema import _utils from jsonschema.exceptions import ValidationError def items_draft3_draft4(validator, items, instance, schema): if not validator.is_type(instance, "array"): return if validator.is_type(items, "object"): for index, item in enumerate(instance): yield from...
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from jsonschema import _utils from jsonschema.exceptions import ValidationError def items_draft6_draft7_draft201909(validator, items, instance, schema): if not validator.is_type(instance, "array"): return if validator.is_type(items, "array"): for (index, item), subschema in zip(enumerate(insta...
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from jsonschema import _utils from jsonschema.exceptions import ValidationError class ValidationError(_Error): def minimum_draft3_draft4(validator, minimum, instance, schema): if not validator.is_type(instance, "number"): return if schema.get("exclusiveMinimum", False): failed = instance <= m...
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from jsonschema import _utils from jsonschema.exceptions import ValidationError class ValidationError(_Error): """ An instance was invalid under a provided schema. """ _word_for_schema_in_error_message = "schema" _word_for_instance_in_error_message = "instance" def maximum_draft3_draft4(validator...
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from jsonschema import _utils from jsonschema.exceptions import ValidationError class ValidationError(_Error): """ An instance was invalid under a provided schema. """ _word_for_schema_in_error_message = "schema" _word_for_instance_in_error_message = "instance" def properties_draft3(validator, pr...
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from jsonschema import _utils from jsonschema.exceptions import ValidationError class ValidationError(_Error): """ An instance was invalid under a provided schema. """ _word_for_schema_in_error_message = "schema" _word_for_instance_in_error_message = "instance" def type_draft3(validator, types, i...
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from jsonschema import _utils from jsonschema.exceptions import ValidationError class ValidationError(_Error): """ An instance was invalid under a provided schema. """ _word_for_schema_in_error_message = "schema" _word_for_instance_in_error_message = "instance" def contains_draft6_draft7(validato...
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from jsonschema import _utils from jsonschema.exceptions import ValidationError def recursiveRef(validator, recursiveRef, instance, schema): lookup_url, target = validator.resolver.resolution_scope, validator.schema for each in reversed(validator.resolver._scopes_stack[1:]): lookup_url, next_target = ...
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from jsonschema import _utils from jsonschema.exceptions import ValidationError def find_evaluated_item_indexes_by_schema(validator, instance, schema): """ Get all indexes of items that get evaluated under the current schema Covers all keywords related to unevaluatedItems: items, prefixItems, if, then, ...
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from fractions import Fraction from urllib.parse import urldefrag, urljoin import re from jsonschema._utils import ( ensure_list, equal, extras_msg, find_additional_properties, find_evaluated_item_indexes_by_schema, find_evaluated_property_keys_by_schema, unbool, uniq, ) from jsonschema....
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from fractions import Fraction from urllib.parse import urldefrag, urljoin import re from jsonschema._utils import ( ensure_list, equal, extras_msg, find_additional_properties, find_evaluated_item_indexes_by_schema, find_evaluated_property_keys_by_schema, unbool, uniq, ) from jsonschema....
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from fractions import Fraction from urllib.parse import urldefrag, urljoin import re from jsonschema._utils import ( ensure_list, equal, extras_msg, find_additional_properties, find_evaluated_item_indexes_by_schema, find_evaluated_property_keys_by_schema, unbool, uniq, ) from jsonschema....
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from fractions import Fraction from urllib.parse import urldefrag, urljoin import re from jsonschema._utils import ( ensure_list, equal, extras_msg, find_additional_properties, find_evaluated_item_indexes_by_schema, find_evaluated_property_keys_by_schema, unbool, uniq, ) from jsonschema....
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from fractions import Fraction from urllib.parse import urldefrag, urljoin import re from jsonschema._utils import ( ensure_list, equal, extras_msg, find_additional_properties, find_evaluated_item_indexes_by_schema, find_evaluated_property_keys_by_schema, unbool, uniq, ) from jsonschema....
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from fractions import Fraction from urllib.parse import urldefrag, urljoin import re from jsonschema._utils import ( ensure_list, equal, extras_msg, find_additional_properties, find_evaluated_item_indexes_by_schema, find_evaluated_property_keys_by_schema, unbool, uniq, ) from jsonschema....
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from fractions import Fraction from urllib.parse import urldefrag, urljoin import re from jsonschema._utils import ( ensure_list, equal, extras_msg, find_additional_properties, find_evaluated_item_indexes_by_schema, find_evaluated_property_keys_by_schema, unbool, uniq, ) from jsonschema....
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from fractions import Fraction from urllib.parse import urldefrag, urljoin import re from jsonschema._utils import ( ensure_list, equal, extras_msg, find_additional_properties, find_evaluated_item_indexes_by_schema, find_evaluated_property_keys_by_schema, unbool, uniq, ) from jsonschema....
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from fractions import Fraction from urllib.parse import urldefrag, urljoin import re from jsonschema._utils import ( ensure_list, equal, extras_msg, find_additional_properties, find_evaluated_item_indexes_by_schema, find_evaluated_property_keys_by_schema, unbool, uniq, ) from jsonschema....
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from fractions import Fraction from urllib.parse import urldefrag, urljoin import re from jsonschema._utils import ( ensure_list, equal, extras_msg, find_additional_properties, find_evaluated_item_indexes_by_schema, find_evaluated_property_keys_by_schema, unbool, uniq, ) from jsonschema....
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from fractions import Fraction from urllib.parse import urldefrag, urljoin import re from jsonschema._utils import ( ensure_list, equal, extras_msg, find_additional_properties, find_evaluated_item_indexes_by_schema, find_evaluated_property_keys_by_schema, unbool, uniq, ) from jsonschema....
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