import os
from pathlib import Path

import pytest
from fastapi.testclient import TestClient


@pytest.fixture(scope="module")
def client():
    static_dir: Path = Path(os.getcwd()) / "static"
    print(static_dir)
    static_dir.mkdir(exist_ok=True)
    from docs_src.custom_docs_ui.tutorial001_py39 import app

    with TestClient(app) as client:
        yield client
    static_dir.rmdir()

 * under the License.
 */
package org.apache.maven.session.scope;

import javax.inject.Inject;
import javax.inject.Named;
import javax.inject.Singleton;

import org.apache.maven.SessionScoped;
import org.apache.maven.api.Session;
import org.apache.maven.impl.di.OutOfScopeException;
import org.apache.maven.session.scope.internal.SessionScope;
import org.codehaus.plexus.PlexusContainer;

    void endProcessChildren(Artifact artifact);

    void includeArtifact(Artifact artifact);

    void omitForNearer(Artifact omitted, Artifact kept);

    void updateScope(Artifact artifact, String scope);

    @Deprecated
    void manageArtifact(Artifact artifact, Artifact replacement);

    // TODO Remove ResolutionListenerDM interface

    void omitForCycle(Artifact artifact);

    /**

/**
 * {@code ArtifactCoordinates} completed with information about how the artifact will be used.
 * This information includes the dependency type (main classes, test classes, <i>etc.</i>),
 * a scope (compile, runtime <i>etc.</i>), an obligation (whether the dependency
 * is optional or mandatory), and possible exclusions for transitive dependencies.

from fastapi import FastAPI, Request

app = FastAPI()


@app.get("/app")
def read_main(request: Request):

<component name="DependencyValidationManager">
    <!-- The source of truth for this pattern is `build-logic/basics/src/main/kotlin/gradlebuild/basics/PublicApi.kt` file, please keep them in sync -->
    <scope name="Gradle public API"

cff-version: 1.2.0
message: "If you use TensorFlow in your research, please cite it using these metadata. Software is available from tensorflow.org."
title: TensorFlow, Large-scale machine learning on heterogeneous systems

                        },
                        "username": {"title": "Username", "type": "string"},
                        "password": {"title": "Password", "type": "string"},
                        "scope": {"title": "Scope", "type": "string", "default": ""},
                        "client_id": {
                            "title": "Client Id",
                            "anyOf": [{"type": "string"}, {"type": "null"}],

    }

    private ArtifactSpec createArtifactSpec(String id, String version, String scope)
            throws InvalidVersionSpecificationException {
        return createArtifactSpec(id, version, scope, null, false);
    }

    private ArtifactSpec createArtifactSpec(
            String id, String version, String scope, String inheritedScope, boolean optional)
            throws InvalidVersionSpecificationException {

#
# Maven Cache Configuration
#
# Controls caching behavior for different request types during Maven builds.
# Format: RequestType { scope:SCOPE ref:REFERENCE_TYPE }
#
# SCOPE OPTIONS:
#   session - Cache for entire Maven session (all modules in multi-module build)
#   request - Cache only for current request + its child requests
#   none    - Disable caching entirely
#
# REFERENCE OPTIONS: