"alias_priority": alias_priority,
                "validation_alias": validation_alias,
                "serialization_alias": serialization_alias,
                "strict": strict,
                "json_schema_extra": current_json_schema_extra,
            }
        )
        kwargs["pattern"] = pattern or regex

        use_kwargs = {k: v for k, v in kwargs.items() if v is not _Unset}

        Doc(
            """
            Parameter field name for discriminating the type in a tagged union.
            """
        ),
    ] = None,
    strict: Annotated[
        Union[bool, None],
        Doc(
            """
            If `True`, strict validation is applied to the field.
            """
        ),
    ] = _Unset,
    multiple_of: Annotated[
        Union[float, None],
        Doc(

[[tool.mypy.overrides]]
module = "docs_src.*"
disallow_incomplete_defs = false
disallow_untyped_defs = false
disallow_untyped_calls = false

[tool.pytest.ini_options]
addopts = [
  "--strict-config",
  "--strict-markers",
  "--ignore=docs_src",
]
xfail_strict = true
junit_family = "xunit2"
filterwarnings = [
    "error",

* ⚒️ Update translate script, show and update outdated translations. PR [#13933](https://github.com/fastapi/fastapi/pull/13933) by [@tiangolo](https://github.com/tiangolo).
* 🔨 Refactor translate script with extra feedback (prints). PR [#13932](https://github.com/fastapi/fastapi/pull/13932) by [@tiangolo](https://github.com/tiangolo).

<?xml version="1.0"?>
<project>
    <modelVersion>4.0.0</modelVersion>
    <name>Gradle_Check Config DSL Script</name>
    <properties>
        <mockk.version>1.14.7</mockk.version>
        <bytebuddy.version>1.18.3</bytebuddy.version>
        <jackson.version>2.20.1</jackson.version>
        <junit.version>6.0.1</junit.version>
        <dslContextParameter.branch>master</dslContextParameter.branch>

#     release_cpu_windows:             Toolchain and CUDA options for Windows CPU builds.
# LINT.IfChange
# Default build options. These are applied first and unconditionally.

# These are used to generate the ML wheel version string.
# See the explanation in the file comment of
# @local_xla//third_party/py/python_wheel.bzl.
# The generated version suffix is used in
# third_party/tensorflow/core/public/release_version.h and