package gradlebuild.integrationtests.action

import org.gradle.api.Project
import org.gradle.api.file.DirectoryProperty
import org.gradle.api.initialization.Settings
import org.gradle.api.invocation.Gradle
import org.gradle.api.provider.Property
import org.gradle.configuration.DefaultImportsReader
import org.gradle.workers.WorkAction
import org.gradle.workers.WorkParameters
import org.intellij.lang.annotations.Language
import java.io.File

      }

    @JvmName("-deprecated_get")
    @Deprecated(
      message = "moved to extension function",
      replaceWith =
        ReplaceWith(
          expression = "mediaType.toMediaType()",
          imports = ["okhttp3.MediaType.Companion.toMediaType"],
        ),
      level = DeprecationLevel.ERROR,
    )
    fun get(mediaType: String): MediaType = mediaType.toMediaType()

    @JvmName("-deprecated_parse")

Desde FastAPI 0.119.0, también hay compatibilidad parcial para Pydantic v1 desde dentro de Pydantic v2, para facilitar la migración a v2.

Así que podrías actualizar Pydantic a la última versión 2 y cambiar los imports para usar el submódulo `pydantic.v1`, y en muchos casos simplemente funcionaría.

{* ../../docs_src/pydantic_v1_in_v2/tutorial002_an_py310.py hl[2,5,15] *}

/// warning | Advertencia

Desde o FastAPI 0.119.0, há também suporte parcial ao Pydantic v1 a partir de dentro do Pydantic v2, para facilitar a migração para o v2.

Assim, você pode atualizar o Pydantic para a versão 2 mais recente e alterar os imports para usar o submódulo `pydantic.v1`, e em muitos casos tudo simplesmente funcionará.

{* ../../docs_src/pydantic_v1_in_v2/tutorial002_an_py310.py hl[2,5,15] *}

/// warning | Atenção

     * @return imports
     */
    @Deprecated
    List<String> getImports();

    /**
     * Gets the packages/types to import from the parent realm.
     *
     * @return The modifiable list of packages/types to import from the parent realm, never {@code null}.
     */
    List<String> getParentImports();

    /**
     * Gets the packages/types to import from foreign realms.
     *

        </module>

        <!-- Design -->
        <!--
        <module name="InterfaceIsType"/>
        -->

        <!-- Imports -->
        <module name="RedundantImport"/>
        <module name="UnusedImports"/>
        <module name="IllegalImport">
            <!--
                We shouldn't use jdk.internal types.

"""
# pylint: disable=g-bad-import-order,protected-access,g-import-not-at-top

import sysconfig as _sysconfig
import importlib
import inspect as _inspect
import os as _os
import site as _site
import sys as _sys

_os.environ.setdefault("ENABLE_RUNTIME_UPTIME_TELEMETRY", "1")

``` hl_lines="5"
.
├── app
│   ├── __init__.py
│   ├── main.py
│   └── test_main.py
```

Because this file is in the same package, you can use relative imports to import the object `app` from the `main` module (`main.py`):

{* ../../docs_src/app_testing/app_a_py39/test_main.py hl[3] *}


...and have the code for the tests just like before.

 */
package org.codelibs.fess.app.service;

import java.io.IOException;
import java.io.Reader;
import java.io.Writer;
import java.util.ArrayList;
import java.util.List;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.beans.util.BeanUtil;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.Constants;
import org.codelibs.fess.app.pager.BadWordPager;

"""Bring in all of the public TensorFlow interface into this module."""

import importlib
import inspect as _inspect
import os as _os
import site as _site
import sys as _sys
import sysconfig

# pylint: disable=g-bad-import-order,protected-access,g-import-not-at-top
from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
from tensorflow.python.tools import module_util as _module_util