from typing import Annotated

from annotated_doc import Doc
from fastapi.openapi.models import APIKey, APIKeyIn
from fastapi.security.base import SecurityBase
from starlette.exceptions import HTTPException
from starlette.requests import Request
from starlette.status import HTTP_401_UNAUTHORIZED


class APIKeyBase(SecurityBase):
    model: APIKey

    def __init__(
        self,
        location: APIKeyIn,
        name: str,

    page.get_by_role("button", name="Try it out").click()
    page.get_by_role("heading", name="Servers").click()
    # Manually add the screenshot
    page.screenshot(path="docs/en/docs/img/tutorial/query-param-models/image01.png")

    # ---------------------
    context.close()
    browser.close()


process = subprocess.Popen(
    ["fastapi", "run", "docs_src/query_param_models/tutorial001.py"]
)
try:

import org.gradle.api.tasks.SourceSet;
import org.gradle.api.tasks.SourceSetContainer;
import org.gradle.api.tasks.testing.Test;
import org.gradle.plugins.ide.eclipse.model.EclipseModel;

import org.gradle.plugins.ide.idea.model.IdeaModel;

import java.util.Arrays;
import java.util.Map;

/**
 * Configures the build to compile tests against Elasticsearch's test framework

void CompareNumericalAndManualGradients(
    Model model, AbstractContext* ctx,
    absl::Span<AbstractTensorHandle* const> inputs, int input_index,
    float* expected_grad, int num_grad, bool use_function,
    double abs_error = 1e-2) {
  absl::Status s;
  AbstractTensorHandlePtr numerical_grad;
  {
    AbstractTensorHandle* numerical_grad_raw;
    s = CalcNumericalGrad(ctx, model, inputs, input_index, use_function,

import okhttp3.Request
import okhttp3.containers.BasicMockServerTest.Companion.MOCKSERVER_IMAGE
import org.junit.jupiter.api.Test
import org.mockserver.client.MockServerClient
import org.mockserver.model.HttpRequest.request
import org.mockserver.model.HttpResponse.response
import org.testcontainers.containers.GenericContainer
import org.testcontainers.containers.MockServerContainer
import org.testcontainers.containers.Network

    // ----------------------------------------------------------------------
    //
    // p1 inherits from p0
    // p0 inherits from super model
    //
    // or we can show it graphically as:
    //
    // p1 ---> p0 --> super model
    //
    // ----------------------------------------------------------------------

    @Test

import org.apache.maven.api.xml.XmlNode;
import org.apache.maven.extension.internal.CoreExtensionEntry;
import org.apache.maven.impl.model.DefaultInterpolator;
import org.apache.maven.internal.xml.XmlPlexusConfiguration;
import org.apache.maven.model.v4.MavenTransformer;
import org.codehaus.plexus.configuration.PlexusConfiguration;

@Deprecated
public class ExtensionConfigurationModule implements Module {

    page = context.new_page()
    page.goto("http://localhost:8000/docs")
    page.get_by_role("link", name="/items/").click()
    # Manually add the screenshot
    page.screenshot(path="docs/en/docs/img/tutorial/cookie-param-models/image01.png")

    # ---------------------
    context.close()
    browser.close()


process = subprocess.Popen(
    ["fastapi", "run", "docs_src/cookie_param_models/tutorial001.py"]
)
try:

你可以宣告額外的回應，包含額外的狀態碼、媒體型別、描述等。

這些額外回應會被包含在 OpenAPI 中，因此也會顯示在 API 文件裡。

但對於這些額外回應，你必須直接回傳像 `JSONResponse` 這樣的 `Response`，並包含你的狀態碼與內容。

## 使用 `model` 的額外回應 { #additional-response-with-model }

你可以在你的「路徑操作裝飾器」中傳入參數 `responses`。

它接收一個 `dict`：鍵是各回應的狀態碼（例如 `200`），值是另一個 `dict`，其中包含每個回應的資訊。

每個回應的 `dict` 都可以有一個鍵 `model`，包含一個 Pydantic 模型，與 `response_model` 類似。

**FastAPI** 會取用該模型、產生其 JSON Schema，並把它放到 OpenAPI 中正確的位置。

"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the License.
-->

<model xmlns="http://modello.codehaus.org/MODELLO/1.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://modello.codehaus.org/MODELLO/1.0.0 http://modello.codehaus.org/xsd/modello-1.0.0.xsd"