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from __future__ import annotations from dataclasses import dataclass from typing import TYPE_CHECKING, Optional from .exceptions import UsageError from .parameters import ParameterSet from .types import GenericTest class UsageError(Exception): """Incorrect usage of Schemathesis functions.""" GenericTest = Callabl...
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from __future__ import annotations import functools import operator from contextlib import contextmanager from inspect import getfullargspec from pathlib import Path from typing import ( Any, Callable, Generator, NoReturn, Union, ) import pytest from hypothesis import strategies as st from hypothesi...
Check whether test is parametrized with schemathesis.
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from __future__ import annotations import functools import operator from contextlib import contextmanager from inspect import getfullargspec from pathlib import Path from typing import ( Any, Callable, Generator, NoReturn, Union, ) import pytest from hypothesis import strategies as st from hypothesi...
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from __future__ import annotations import functools import operator from contextlib import contextmanager from inspect import getfullargspec from pathlib import Path from typing import ( Any, Callable, Generator, NoReturn, Union, ) import pytest from hypothesis import strategies as st from hypothesi...
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from __future__ import annotations import functools import operator from contextlib import contextmanager from inspect import getfullargspec from pathlib import Path from typing import ( Any, Callable, Generator, NoReturn, Union, ) import pytest from hypothesis import strategies as st from hypothesi...
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from __future__ import annotations import functools import operator from contextlib import contextmanager from inspect import getfullargspec from pathlib import Path from typing import ( Any, Callable, Generator, NoReturn, Union, ) import pytest from hypothesis import strategies as st from hypothesi...
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from __future__ import annotations import functools import operator from contextlib import contextmanager from inspect import getfullargspec from pathlib import Path from typing import ( Any, Callable, Generator, NoReturn, Union, ) import pytest from hypothesis import strategies as st from hypothesi...
Proxy Hypothesis strategies to ``hypothesis.given``.
34,752
from __future__ import annotations import functools import operator from contextlib import contextmanager from inspect import getfullargspec from pathlib import Path from typing import ( Any, Callable, Generator, NoReturn, Union, ) import pytest from hypothesis import strategies as st from hypothesi...
Merge positional arguments to ``@schema.given`` into a dictionary with keyword arguments. Kwargs are modified inplace.
34,753
from __future__ import annotations import functools import operator from contextlib import contextmanager from inspect import getfullargspec from pathlib import Path from typing import ( Any, Callable, Generator, NoReturn, Union, ) import pytest from hypothesis import strategies as st from hypothesi...
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from __future__ import annotations from flask import Flask from . import _server The provided code snippet includes necessary dependencies for implementing the `run_server` function. Write a Python function `def run_server(app: Flask, port: int | None = None, timeout: float = 0.05) -> int` to solve the following probl...
Start a thread with the given aiohttp application.
34,755
from __future__ import annotations from dataclasses import dataclass, field from difflib import get_close_matches from typing import Any, Generator, NoReturn, Sequence, Union, TYPE_CHECKING from ...models import APIOperation, Case from ...parameters import ParameterSet from ...stateful import ParsedData, StatefulTest f...
Get `x-links` / `links` definitions from the schema.
34,756
from __future__ import annotations from dataclasses import dataclass, field from difflib import get_close_matches from typing import Any, Generator, NoReturn, Sequence, Union, TYPE_CHECKING from ...models import APIOperation, Case from ...parameters import ParameterSet from ...stateful import ParsedData, StatefulTest f...
Get a container that suppose to store the given parameter.
34,757
from __future__ import annotations from dataclasses import dataclass, field from difflib import get_close_matches from typing import Any, Generator, NoReturn, Sequence, Union, TYPE_CHECKING from ...models import APIOperation, Case from ...parameters import ParameterSet from ...stateful import ParsedData, StatefulTest f...
Normalize runtime expressions. Runtime expressions may have parameter names prefixed with their location - `path.id`. At the same time, parameters could be defined without a prefix - `id`. We need to normalize all parameters to the same form to simplify working with them.
34,758
from __future__ import annotations from dataclasses import dataclass, field from difflib import get_close_matches from typing import Any, Generator, NoReturn, Sequence, Union, TYPE_CHECKING from ...models import APIOperation, Case from ...parameters import ParameterSet from ...stateful import ParsedData, StatefulTest f...
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from __future__ import annotations from typing import TYPE_CHECKING STRING_FORMATS: dict[str, st.SearchStrategy] = {} The provided code snippet includes necessary dependencies for implementing the `register_string_format` function. Write a Python function `def register_string_format(name: str, strategy: st.SearchStrat...
Register a new strategy for generating data for specific string "format". :param str name: Format name. It should correspond the one used in the API schema as the "format" keyword value. :param strategy: Hypothesis strategy you'd like to use to generate values for this format.
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from __future__ import annotations from typing import TYPE_CHECKING STRING_FORMATS: dict[str, st.SearchStrategy] = {} The provided code snippet includes necessary dependencies for implementing the `unregister_string_format` function. Write a Python function `def unregister_string_format(name: str) -> None` to solve th...
Remove format strategy from the registry.
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from __future__ import annotations from typing import Any, TYPE_CHECKING from ..._lazy_import import lazy_import def make_validator(schema: dict[str, Any]) -> Validator: import jsonschema return jsonschema.validators.validator_for(schema)(schema)
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from __future__ import annotations from typing import Any, TYPE_CHECKING from ..._lazy_import import lazy_import _imports = { "SWAGGER_20_VALIDATOR": lambda: make_validator(SWAGGER_20), "OPENAPI_30_VALIDATOR": lambda: make_validator(OPENAPI_30), "OPENAPI_31_VALIDATOR": lambda: make_validator(OPENAPI_31), } ...
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from __future__ import annotations import itertools from collections import defaultdict from contextlib import ExitStack, contextmanager, suppress from dataclasses import dataclass, field from difflib import get_close_matches from hashlib import sha1 from json import JSONDecodeError from threading import RLock from typ...
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from __future__ import annotations import itertools from collections import defaultdict from contextlib import ExitStack, contextmanager, suppress from dataclasses import dataclass, field from difflib import get_close_matches from hashlib import sha1 from json import JSONDecodeError from threading import RLock from typ...
A name under which the resolved reference data will be stored.
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from __future__ import annotations import itertools from collections import defaultdict from contextlib import ExitStack, contextmanager, suppress from dataclasses import dataclass, field from difflib import get_close_matches from hashlib import sha1 from json import JSONDecodeError from threading import RLock from typ...
Push all available scopes into the resolver. There could be an additional scope change during a schema resolving in `get_response_schema`, so in total there could be a stack of two scopes maximum. This context manager handles both cases (1 or 2 scope changes) in the same way.
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from __future__ import annotations import itertools from collections import defaultdict from contextlib import ExitStack, contextmanager, suppress from dataclasses import dataclass, field from difflib import get_close_matches from hashlib import sha1 from json import JSONDecodeError from threading import RLock from typ...
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from __future__ import annotations import json from typing import Any, Callable, Dict, Generator, List from ...utils import compose DefinitionList = List[Definition] def compose(*functions: Callable) -> Callable: """Compose multiple functions into a single one.""" def noop(x: Any) -> Any: return x ...
A maker function to avoid code duplication.
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from __future__ import annotations import json from typing import Any, Callable, Dict, Generator, List from ...utils import compose DefinitionList = List[Definition] def _serialize_path_openapi3( name: str, type_: str, style: str | None, explode: bool | None ) -> Generator[Callable | None, None, None]: if style...
Different collection styles for Open API 3.0.
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from __future__ import annotations import json from typing import Any, Callable, Dict, Generator, List from ...utils import compose DefinitionList = List[Definition] def delimited(item: Generated, name: str, delimiter: str) -> None: item[name] = delimiter.join(map(str, force_iterable(item[name] or ()))) def to_stri...
Different collection formats for Open API 2.0.
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from __future__ import annotations import json from typing import Any, Callable, Dict, Generator, List from ...utils import compose Generated = Dict[str, Any] MapFunction = Callable[[Generated], Generated] def conversion(func: Callable[..., None]) -> Callable: def _wrapper(name: str, **kwargs: Any) -> MapFunction:...
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from __future__ import annotations from typing import TYPE_CHECKING, Any, Generator, NoReturn from ... import failures from ...exceptions import ( get_headers_error, get_malformed_media_type_error, get_missing_content_type_error, get_response_type_error, get_status_code_error, ) from ...transports.c...
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from __future__ import annotations from typing import TYPE_CHECKING, Any, Generator, NoReturn from ... import failures from ...exceptions import ( get_headers_error, get_malformed_media_type_error, get_missing_content_type_error, get_response_type_error, get_status_code_error, ) from ...transports.c...
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from __future__ import annotations from typing import TYPE_CHECKING, Any, Generator, NoReturn from ... import failures from ...exceptions import ( get_headers_error, get_malformed_media_type_error, get_missing_content_type_error, get_response_type_error, get_status_code_error, ) from ...transports.c...
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from __future__ import annotations from typing import TYPE_CHECKING, Any, Generator, NoReturn from ... import failures from ...exceptions import ( get_headers_error, get_malformed_media_type_error, get_missing_content_type_error, get_response_type_error, get_status_code_error, ) from ...transports.c...
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from __future__ import annotations from contextlib import suppress from dataclasses import dataclass from functools import lru_cache from itertools import chain, cycle, islice from typing import TYPE_CHECKING, Any, Generator, Union, cast import requests from hypothesis.strategies import SearchStrategy from hypothesis_j...
Build a set of strategies that generate test cases based on explicit examples in the schema.
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from __future__ import annotations import json from dataclasses import dataclass from typing import Any, ClassVar, Iterable from ...exceptions import OperationSchemaError from ...models import APIOperation from ...parameters import Parameter from .converter import to_json_schema_recursive MISSING_SCHEMA_OR_CONTENT_MESS...
Extract `schema` from Open API 3.0 `Parameter`.
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from __future__ import annotations import re from ...types import Filter def _ensure_tuple(item: Filter) -> list | set | tuple: if not isinstance(item, (list, set, tuple)): return (item,) return item Filter = Union[str, List[str], Tuple[str], Set[str], NotSet] def should_skip_method(method: str, patte...
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from __future__ import annotations import re from ...types import Filter def _match_any_pattern(target: str, pattern: Filter) -> bool: Filter = Union[str, List[str], Tuple[str], Set[str], NotSet] def should_skip_endpoint(endpoint: str, pattern: Filter | None) -> bool: if pattern is None: return False ...
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from __future__ import annotations import re from ...types import Filter def _ensure_tuple(item: Filter) -> list | set | tuple: if not isinstance(item, (list, set, tuple)): return (item,) return item Filter = Union[str, List[str], Tuple[str], Set[str], NotSet] def should_skip_by_tag(tags: list[str] | ...
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from __future__ import annotations import re from ...types import Filter def _match_any_pattern(target: str, pattern: Filter) -> bool: patterns = _ensure_tuple(pattern) return any(re.search(item, target) for item in patterns) Filter = Union[str, List[str], Tuple[str], Set[str], NotSet] def should_skip_by_oper...
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from __future__ import annotations import re from ...types import Filter def should_skip_deprecated(is_deprecated: bool, skip_deprecated_operations: bool) -> bool: return skip_deprecated_operations and is_deprecated
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from __future__ import annotations from dataclasses import dataclass from typing import Any, ClassVar, Generator from jsonschema import RefResolver from ...models import APIOperation from .parameters import OpenAPI20Parameter, OpenAPI30Parameter, OpenAPIParameter def make_auth_header_schema(definition: dict[str, Any])...
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from __future__ import annotations from dataclasses import dataclass from typing import Any, ClassVar, Generator from jsonschema import RefResolver from ...models import APIOperation from .parameters import OpenAPI20Parameter, OpenAPI30Parameter, OpenAPIParameter def make_auth_header(**kwargs: Any) -> dict[str, Any]: ...
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from __future__ import annotations from dataclasses import dataclass from typing import Any, ClassVar, Generator from jsonschema import RefResolver from ...models import APIOperation from .parameters import OpenAPI20Parameter, OpenAPI30Parameter, OpenAPIParameter def make_api_key_schema(definition: dict[str, Any], **k...
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from __future__ import annotations from dataclasses import dataclass from functools import lru_cache from typing import Any, Callable, Dict, Union, overload from urllib.request import urlopen import jsonschema import requests from ...constants import DEFAULT_RESPONSE_TIMEOUT from ...internal.copy import fast_deepcopy f...
Load a schema from the given file.
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from __future__ import annotations from dataclasses import dataclass from functools import lru_cache from typing import Any, Callable, Dict, Union, overload from urllib.request import urlopen import jsonschema import requests from ...constants import DEFAULT_RESPONSE_TIMEOUT from ...internal.copy import fast_deepcopy f...
Load a schema from the given file uri.
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from __future__ import annotations from dataclasses import dataclass from functools import lru_cache from typing import Any, Callable, Dict, Union, overload from urllib.request import urlopen import jsonschema import requests from ...constants import DEFAULT_RESPONSE_TIMEOUT from ...internal.copy import fast_deepcopy f...
Load the resource and parse it as YAML / JSON.
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from __future__ import annotations from dataclasses import dataclass from functools import lru_cache from typing import Any, Callable, Dict, Union, overload from urllib.request import urlopen import jsonschema import requests from ...constants import DEFAULT_RESPONSE_TIMEOUT from ...internal.copy import fast_deepcopy f...
Remove optional parts of the schema that contain references. It covers only the most popular cases, as removing all optional parts is complicated. We might fall back to filtering out invalid cases in the future.
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from __future__ import annotations from dataclasses import dataclass from functools import lru_cache from typing import Any, Callable, Dict, Union, overload from urllib.request import urlopen import jsonschema import requests from ...constants import DEFAULT_RESPONSE_TIMEOUT from ...internal.copy import fast_deepcopy f...
Implementation is adapted from Rust's `serde-json` crate. Ref: https://github.com/serde-rs/json/blob/master/src/value/mod.rs#L751
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from __future__ import annotations from dataclasses import dataclass from typing import TYPE_CHECKING, Callable, Dict, List import hypothesis.strategies as st from requests.structures import CaseInsensitiveDict from ..links import OpenAPILink, get_all_links from ..utils import expand_status_code class Connection: s...
Gather all connections based on Open API links definitions.
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from __future__ import annotations from functools import lru_cache from typing import Generator from . import lexer, nodes from .errors import RuntimeExpressionError, UnknownToken def _parse(expr: str) -> Generator[nodes.Node, None, None]: tokens = lexer.tokenize(expr) brackets_stack: list[str] = [] for tok...
Parse lexical tokens into concrete expression nodes.
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from __future__ import annotations import enum from dataclasses import dataclass from functools import wraps from typing import Any, Callable, Sequence, TypeVar from hypothesis import reject from hypothesis import strategies as st from hypothesis.strategies._internal.featureflags import FeatureStrategy from ....interna...
Immediately return FAILURE for schemas with types not from ``allowed_types``.
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from __future__ import annotations from itertools import chain from typing import Any, Callable from ...internal.jsonschema import traverse_schema from ...internal.copy import fast_deepcopy def to_json_schema( schema: dict[str, Any], *, nullable_name: str, copy: bool = True, is_response_schema: bool = False ) -> di...
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from __future__ import annotations from typing import TYPE_CHECKING, Any, Collection MEDIA_TYPES: dict[str, st.SearchStrategy[bytes]] = {} class SerializerContext: """The context for serialization process. :ivar Case case: Generated example that is being processed. """ case: Case def media_type(...
Register a strategy for the given media type.
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from __future__ import annotations from typing import TYPE_CHECKING, Any, Collection MEDIA_TYPES: dict[str, st.SearchStrategy[bytes]] = {} def unregister(media_type: str) -> None: """Remove registered serializer for the given media type.""" del SERIALIZERS[media_type] def unregister_all() -> None: from .....
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from __future__ import annotations import io import json import pathlib import re from typing import IO, Any, Callable, cast, TYPE_CHECKING from urllib.parse import urljoin from ... import experimental, fixups from ...code_samples import CodeSampleStyle from ...generation import ( DEFAULT_DATA_GENERATION_METHODS, ...
Load Open API schema via a file from an OS path. :param path: A path to the schema file. :param encoding: The name of the encoding used to decode the file.
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from __future__ import annotations import io import json import pathlib import re from typing import IO, Any, Callable, cast, TYPE_CHECKING from urllib.parse import urljoin from ... import experimental, fixups from ...code_samples import CodeSampleStyle from ...generation import ( DEFAULT_DATA_GENERATION_METHODS, ...
Load schema from a ``pytest`` fixture. It is useful if you don't want to make network requests during module loading. With this loader you can defer it to a fixture. Note, the fixture should return a ``BaseSchema`` instance loaded with another loader. :param str fixture_name: The name of a fixture to load.
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from __future__ import annotations import io import json import pathlib import re from typing import IO, Any, Callable, cast, TYPE_CHECKING from urllib.parse import urljoin from ... import experimental, fixups from ...code_samples import CodeSampleStyle from ...generation import ( DEFAULT_DATA_GENERATION_METHODS, ...
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from __future__ import annotations import string from base64 import b64encode from contextlib import suppress from dataclasses import dataclass from functools import lru_cache from typing import Any, Callable, Dict, Iterable, Optional from urllib.parse import quote_plus from weakref import WeakKeyDictionary from hypoth...
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from __future__ import annotations import enum from dataclasses import dataclass, field from difflib import get_close_matches from enum import unique from typing import ( Any, Callable, Generator, Sequence, TypeVar, cast, TYPE_CHECKING, NoReturn, MutableMapping, Iterator, ) from ...
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from __future__ import annotations from functools import lru_cache from typing import TYPE_CHECKING from ...exceptions import UsageError CUSTOM_SCALARS: dict[str, st.SearchStrategy[graphql.ValueNode]] = {} class UsageError(Exception): """Incorrect usage of Schemathesis functions.""" The provided code snippet incl...
Register a new strategy for generating custom scalars. :param str name: Scalar name. It should correspond the one used in the schema. :param strategy: Hypothesis strategy you'd like to use to generate values for this scalar.
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from __future__ import annotations from typing import TYPE_CHECKING __all__ = [ # noqa: F822 "Boolean", "Enum", "Float", "Int", "List", "Null", "Object", "String", ] def __getattr__(name: str) -> ValueNode | None: if name in __all__: import hypothesis_graphql.nodes ...
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from __future__ import annotations import json import pathlib from functools import lru_cache from json import JSONDecodeError from typing import IO, TYPE_CHECKING, Any, Callable, Dict, NoReturn, cast from ...code_samples import CodeSampleStyle from ...constants import WAIT_FOR_SCHEMA_INTERVAL from ...exceptions import...
Load GraphQL schema via a file from an OS path. :param path: A path to the schema file. :param encoding: The name of the encoding used to decode the file.
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from __future__ import annotations import json import pathlib from functools import lru_cache from json import JSONDecodeError from typing import IO, TYPE_CHECKING, Any, Callable, Dict, NoReturn, cast from ...code_samples import CodeSampleStyle from ...constants import WAIT_FOR_SCHEMA_INTERVAL from ...exceptions import...
Load GraphQL schema from the network. :param url: Schema URL. :param Optional[str] base_url: Base URL to send requests to. :param Optional[int] port: An optional port if you don't want to pass the ``base_url`` parameter, but only to change port in ``url``. :param app: A WSGI app instance. :return: GraphQLSchema
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from __future__ import annotations import json import pathlib from functools import lru_cache from json import JSONDecodeError from typing import IO, TYPE_CHECKING, Any, Callable, Dict, NoReturn, cast from ...code_samples import CodeSampleStyle from ...constants import WAIT_FOR_SCHEMA_INTERVAL from ...exceptions import...
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from __future__ import annotations from typing import TYPE_CHECKING from ...hooks import HookContext, register, unregister def before_add_examples(context: HookContext, examples: list[Case]) -> None: if not examples and context.operation is not None: from ..._hypothesis import add_single_example str...
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from __future__ import annotations from typing import TYPE_CHECKING from ...hooks import HookContext, register, unregister def before_add_examples(context: HookContext, examples: list[Case]) -> None: if not examples and context.operation is not None: from ..._hypothesis import add_single_example str...
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FORMAT_NAME = "uuid" def install() -> None: from ....specs import openapi from hypothesis import strategies as st openapi.format(FORMAT_NAME, st.uuids().map(str))
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def uninstall() -> None: from ....specs import openapi openapi.unregister_string_format("uuid")
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from __future__ import annotations import warnings from typing import TYPE_CHECKING from ..hooks import HookContext, register, unregister def before_generate_case(context: HookContext, strategy: st.SearchStrategy[Case]) -> st.SearchStrategy[Case]: seen = set() def is_not_seen(case: Case) -> bool: # Calc...
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from __future__ import annotations import warnings from typing import TYPE_CHECKING from ..hooks import HookContext, register, unregister def before_generate_case(context: HookContext, strategy: st.SearchStrategy[Case]) -> st.SearchStrategy[Case]: seen = set() def is_not_seen(case: Case) -> bool: # Calc...
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from __future__ import annotations import sys import json from typing import Union, TYPE_CHECKING, NoReturn, Any from .._compat import JSONMixin from werkzeug.wrappers import Response as BaseResponse GenericResponse = Union["httpxResponse", "requestsResponse", WSGIResponse] def get_payload(response: GenericResponse) -...
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from __future__ import annotations from typing import TYPE_CHECKING import json from . import failures from .exceptions import get_server_error, get_response_parsing_error from .specs.openapi.checks import ( content_type_conformance, response_headers_conformance, response_schema_conformance, status_code...
A check to verify that the response is not a server-side error.
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from __future__ import annotations from typing import TYPE_CHECKING import json from . import failures from .exceptions import get_server_error, get_response_parsing_error from .specs.openapi.checks import ( content_type_conformance, response_headers_conformance, response_schema_conformance, status_code...
Register a new check for schemathesis CLI. :param check: A function to validate API responses. .. code-block:: python @schemathesis.check def new_check(response, case): # some awesome assertions! ...
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from __future__ import annotations import inspect import threading import time import warnings from dataclasses import dataclass, field from typing import ( TYPE_CHECKING, Any, Callable, Generic, TypeVar, overload, runtime_checkable, Protocol, ) from .exceptions import UsageError from .f...
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from __future__ import annotations import datetime import inspect import textwrap from collections import Counter from contextlib import contextmanager from dataclasses import dataclass, field from enum import Enum from functools import partial, lru_cache from itertools import chain from logging import LogRecord from t...
Prepare request data for generating code samples.
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from __future__ import annotations import datetime import inspect import textwrap from collections import Counter from contextlib import contextmanager from dataclasses import dataclass, field from enum import Enum from functools import partial, lru_cache from itertools import chain from logging import LogRecord from t...
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from __future__ import annotations import datetime import inspect import textwrap from collections import Counter from contextlib import contextmanager from dataclasses import dataclass, field from enum import Enum from functools import partial, lru_cache from itertools import chain from logging import LogRecord from t...
Check arguments for `requests.Session.request`. Some arguments can be valid for cases like ASGI integration, but at the same time they won't work for the regular `requests` calls. In such cases we need to avoid an obscure error message, that comes from `requests`.
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from __future__ import annotations import datetime import inspect import textwrap from collections import Counter from contextlib import contextmanager from dataclasses import dataclass, field from enum import Enum from functools import partial, lru_cache from itertools import chain from logging import LogRecord from t...
Set cookies required for a call.
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from __future__ import annotations from dataclasses import dataclass, field from inspect import signature from typing import Any, Callable, Generator import pytest from _pytest.fixtures import FixtureRequest from hypothesis.core import HypothesisHandle from hypothesis.errors import Flaky from hypothesis.internal.escala...
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from __future__ import annotations from dataclasses import dataclass, field from inspect import signature from typing import Any, Callable, Generator import pytest from _pytest.fixtures import FixtureRequest from hypothesis.core import HypothesisHandle from hypothesis.errors import Flaky from hypothesis.internal.escala...
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from __future__ import annotations from dataclasses import dataclass, field from inspect import signature from typing import Any, Callable, Generator import pytest from _pytest.fixtures import FixtureRequest from hypothesis.core import HypothesisHandle from hypothesis.errors import Flaky from hypothesis.internal.escala...
Make a test node name. For example: test_api[GET /users].
34,823
from __future__ import annotations from dataclasses import dataclass, field from inspect import signature from typing import Any, Callable, Generator import pytest from _pytest.fixtures import FixtureRequest from hypothesis.core import HypothesisHandle from hypothesis.errors import Flaky from hypothesis.internal.escala...
Run the given subtest with pytest fixtures.
34,824
from __future__ import annotations from dataclasses import dataclass, field from inspect import signature from typing import Any, Callable, Generator import pytest from _pytest.fixtures import FixtureRequest from hypothesis.core import HypothesisHandle from hypothesis.errors import Flaky from hypothesis.internal.escala...
Run a failing test, that will show the underlying problem.
34,825
from __future__ import annotations from dataclasses import dataclass, field from inspect import signature from typing import Any, Callable, Generator import pytest from _pytest.fixtures import FixtureRequest from hypothesis.core import HypothesisHandle from hypothesis.errors import Flaky from hypothesis.internal.escala...
Loads a schema from the fixture.
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from __future__ import annotations from dataclasses import dataclass, field from inspect import signature from typing import Any, Callable, Generator import pytest from _pytest.fixtures import FixtureRequest from hypothesis.core import HypothesisHandle from hypothesis.errors import Flaky from hypothesis.internal.escala...
Load fixtures, needed for the test function.
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from __future__ import annotations from enum import Enum from functools import lru_cache from shlex import quote from typing import TYPE_CHECKING from .constants import SCHEMATHESIS_TEST_CASE_HEADER from .types import Headers def get_excluded_headers() -> CaseInsensitiveDict: from requests.structures import CaseIns...
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from __future__ import annotations from enum import Enum from functools import lru_cache from shlex import quote from typing import TYPE_CHECKING from .constants import SCHEMATHESIS_TEST_CASE_HEADER from .types import Headers Headers = Dict[str, Any] The provided code snippet includes necessary dependencies for imple...
Create a cURL command to reproduce an HTTP request.
34,829
from __future__ import annotations from enum import Enum from functools import lru_cache from shlex import quote from typing import TYPE_CHECKING from .constants import SCHEMATHESIS_TEST_CASE_HEADER from .types import Headers def _escape_single_quotes(url: str) -> str: """Escape single quotes in a string, so it is ...
Create a Python code to reproduce an HTTP request.
34,830
from __future__ import annotations import enum import json import re import traceback from dataclasses import dataclass, field from hashlib import sha1 from json import JSONDecodeError from types import TracebackType from typing import TYPE_CHECKING, Any, Callable, Generator, NoReturn from .constants import SERIALIZERS...
Keep only unique failed checks.
34,831
from __future__ import annotations import enum import json import re import traceback from dataclasses import dataclass, field from hashlib import sha1 from json import JSONDecodeError from types import TracebackType from typing import TYPE_CHECKING, Any, Callable, Generator, NoReturn from .constants import SERIALIZERS...
Return new exception for schema validation error.
34,832
from __future__ import annotations import enum import json import re import traceback from dataclasses import dataclass, field from hashlib import sha1 from json import JSONDecodeError from types import TracebackType from typing import TYPE_CHECKING, Any, Callable, Generator, NoReturn from .constants import SERIALIZERS...
Request took too long.
34,833
from __future__ import annotations import enum import json import re import traceback from dataclasses import dataclass, field from hashlib import sha1 from json import JSONDecodeError from types import TracebackType from typing import TYPE_CHECKING, Any, Callable, Generator, NoReturn from .constants import SERIALIZERS...
null
34,834
from __future__ import annotations import re from dataclasses import dataclass, field from functools import partial from types import SimpleNamespace from typing import TYPE_CHECKING, Callable, List, Union, Protocol from .exceptions import UsageError class HasAPIOperation(Protocol): operation: APIOperation def get_...
null
34,835
from __future__ import annotations import re from dataclasses import dataclass, field from functools import partial from types import SimpleNamespace from typing import TYPE_CHECKING, Callable, List, Union, Protocol from .exceptions import UsageError class HasAPIOperation(Protocol): def get_operation_attribute(operatio...
null
34,836
from __future__ import annotations import re from dataclasses import dataclass, field from functools import partial from types import SimpleNamespace from typing import TYPE_CHECKING, Callable, List, Union, Protocol from .exceptions import UsageError class HasAPIOperation(Protocol): operation: APIOperation def get_...
null
34,837
from __future__ import annotations import re from dataclasses import dataclass, field from functools import partial from types import SimpleNamespace from typing import TYPE_CHECKING, Callable, List, Union, Protocol from .exceptions import UsageError MatcherFunc = Callable[[HasAPIOperation], bool] FilterValue = Union[s...
Attach a filtering function to an object, which allows chaining of filter criteria. For example: >>> def auth(): ... >>> filter_set = FilterSet() >>> attach_filter_chain(auth, "apply_to", filter_set.include) >>> auth.apply_to(method="GET", path="/users/") This will add a new `apply_to` method to `auth` that matches onl...
34,838
from __future__ import annotations import inspect from collections import defaultdict from copy import deepcopy from dataclasses import dataclass, field from enum import Enum, unique from functools import partial from typing import TYPE_CHECKING, Any, Callable, ClassVar, DefaultDict, cast from .types import GenericTest...
null
34,839
from __future__ import annotations import inspect from collections import defaultdict from copy import deepcopy from dataclasses import dataclass, field from enum import Enum, unique from functools import partial from typing import TYPE_CHECKING, Any, Callable, ClassVar, DefaultDict, cast from .types import GenericTest...
Called on a strategy that generates values for ``path_parameters``.
34,840
from __future__ import annotations import inspect from collections import defaultdict from copy import deepcopy from dataclasses import dataclass, field from enum import Enum, unique from functools import partial from typing import TYPE_CHECKING, Any, Callable, ClassVar, DefaultDict, cast from .types import GenericTest...
Called on a strategy that generates values for ``headers``.
34,841
from __future__ import annotations import inspect from collections import defaultdict from copy import deepcopy from dataclasses import dataclass, field from enum import Enum, unique from functools import partial from typing import TYPE_CHECKING, Any, Callable, ClassVar, DefaultDict, cast from .types import GenericTest...
Called on a strategy that generates values for ``cookies``.
34,842
from __future__ import annotations import inspect from collections import defaultdict from copy import deepcopy from dataclasses import dataclass, field from enum import Enum, unique from functools import partial from typing import TYPE_CHECKING, Any, Callable, ClassVar, DefaultDict, cast from .types import GenericTest...
Called on a strategy that generates values for ``query``.
34,843
from __future__ import annotations import inspect from collections import defaultdict from copy import deepcopy from dataclasses import dataclass, field from enum import Enum, unique from functools import partial from typing import TYPE_CHECKING, Any, Callable, ClassVar, DefaultDict, cast from .types import GenericTest...
Called on a strategy that generates values for ``body``.
34,844
from __future__ import annotations import inspect from collections import defaultdict from copy import deepcopy from dataclasses import dataclass, field from enum import Enum, unique from functools import partial from typing import TYPE_CHECKING, Any, Callable, ClassVar, DefaultDict, cast from .types import GenericTest...
Called before API path is processed.