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Results 1 - 4 of 4 for catch_warnings (0.94 sec)

  1. tests/test_multipart_installation.py

        multipart_not_installed_error,
    )
    
    
    def test_incorrect_multipart_installed_form(monkeypatch):
        monkeypatch.setattr("python_multipart.__version__", "0.0.12")
        with warnings.catch_warnings(record=True):
            warnings.simplefilter("always")
            monkeypatch.delattr("multipart.multipart.parse_options_header", raising=False)
        with pytest.raises(RuntimeError, match=multipart_incorrect_install_error):
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Sun Oct 27 21:46:26 UTC 2024
    - 5.7K bytes
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  2. fastapi/_compat/shared.py

        )
    
    
    def is_pydantic_v1_model_instance(obj: Any) -> bool:
        with warnings.catch_warnings():
            warnings.simplefilter("ignore", UserWarning)
            from pydantic import v1
        return isinstance(obj, v1.BaseModel)
    
    
    def is_pydantic_v1_model_class(cls: Any) -> bool:
        with warnings.catch_warnings():
            warnings.simplefilter("ignore", UserWarning)
            from pydantic import v1
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Sat Dec 27 12:54:56 UTC 2025
    - 6.7K bytes
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  3. tests/test_pydantic_v1_error.py

    if sys.version_info >= (3, 14):
        skip_module_if_py_gte_314()
    
    from fastapi import FastAPI
    from fastapi.exceptions import PydanticV1NotSupportedError
    
    with warnings.catch_warnings():
        warnings.simplefilter("ignore", UserWarning)
        from pydantic.v1 import BaseModel
    
    
    def test_raises_pydantic_v1_model_in_endpoint_param() -> None:
        class ParamModelV1(BaseModel):
            name: str
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Sat Dec 27 12:54:56 UTC 2025
    - 2.3K bytes
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  4. tests/test_jsonable_encoder.py

        assert jsonable_encoder(subclass_model) == {"dt_field": "2019-01-01T08:00:00+00:00"}
    
    
    def test_json_encoder_error_with_pydanticv1():
        with warnings.catch_warnings():
            warnings.simplefilter("ignore", UserWarning)
            from pydantic import v1
    
        class ModelV1(v1.BaseModel):
            name: str
    
        data = ModelV1(name="test")
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Sat Dec 27 12:54:56 UTC 2025
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