version = parent.getVersion();
            modVersion = replaceCiFriendlyVersion(context, version);
            parent.setVersion(modVersion);
        }
    }

    //
    // Infer inner reactor dependencies version
    //
    void handleReactorDependencies(TransformerContext context, Model model) {
        for (Dependency dep : model.getDependencies()) {
            if (dep.getVersion() == null) {

# Checks TFCI_BAZEL_COMMON_ARGS for "gpu" or "cuda", implying that the test is
# relevant. All of the GPU test machines have CUDA installed via other means,
# so I am not sure how to verify that the dependencies themselves are valid for
# the moment.
if [[ "$TFCI_BAZEL_COMMON_ARGS" =~ gpu|cuda ]]; then
  echo "Checking to make sure tensorflow[and-cuda] is installable..."

 */
@Deprecated(since = "4.0.0")
public final class MavenArtifactProperties {
    /**
     * A boolean flag indicating whether the artifact presents some kind of bundle that physically includes its
     * dependencies, e.g. a fat WAR.
     */
    public static final String INCLUDES_DEPENDENCIES = "includesDependencies";

    /**

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.dependencies.tutorial001_py310 import app

    client = TestClient(app)
    return client


@needs_py310
@pytest.mark.parametrize(
    "path,expected_status,expected_response",
    [

 * <p>This interface is now a legacy type. Use {@code java.util.function.Supplier} (or the
 * appropriate primitive specialization such as {@code IntSupplier}) instead whenever possible.
 * Otherwise, at least reduce <i>explicit</i> dependencies on this type by using lambda expressions
 * or method references instead of classes, leaving your code easier to migrate in the future.
 *

			</plugin>
			<plugin>
				<groupId>net.revelc.code.formatter</groupId>
				<artifactId>formatter-maven-plugin</artifactId>
			</plugin>
		</plugins>
	</build>
	<dependencies>
		<dependency>
			<groupId>org.codelibs</groupId>
			<artifactId>corelib</artifactId>
			<version>${corelib.version}</version>
		</dependency>
		<dependency>
			<groupId>commons-codec</groupId>

    pass  # pragma: nocover


callback_router5 = APIRouter()


@callback_router5.get("/")
async def callback5(level5: str):
    pass  # pragma: nocover


app = FastAPI(
    dependencies=[Depends(dep0)],
    responses={
        400: {"description": "Client error level 0"},
        500: {"description": "Server error level 0"},
    },
    default_response_class=ResponseLevel0,

If you want to secure your API, there are several better things you can do, for example:

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.
* Implement and use well-known cryptographic tools, like Passlib and JWT tokens, etc.
* Add more granular permission controls with OAuth2 scopes where needed.
* ...etc.

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py39


@pytest.fixture(name="client")
def get_client():
    from docs_src.dependencies.tutorial001_an_py39 import app

    client = TestClient(app)
    return client


@needs_py39
@pytest.mark.parametrize(
    "path,expected_status,expected_response",
    [

# -*- coding: utf-8 -*-
import json
# standard.
import os

import certifi
# Dependencies
import urllib3
from botocore.credentials import CredentialProvider, RefreshableCredentials
from botocore.exceptions import CredentialRetrievalError
from dateutil.parser import parse

from .sts_element import STSElement


class ClientGrantsCredentialProvider(CredentialProvider):
    """