<description>
      Returns Date from a given value.
    </description>
    <name>date</name>
    <function-class>org.codelibs.fess.taglib.FessFunctions</function-class>
    <function-signature>java.util.Date date(java.lang.Long)</function-signature>
    <example>
      ${fe:date(doc.tstamp)}
    </example>
  </function>

  <function>
    <description>
      Returns Date from a given value.
    </description>

import pytest
from fastapi import FastAPI, HTTPException
from fastapi.exceptions import RequestValidationError
from fastapi.testclient import TestClient
from starlette.responses import JSONResponse


def http_exception_handler(request, exception):
    return JSONResponse({"exception": "http-exception"})


def request_validation_exception_handler(request, exception):
    return JSONResponse({"exception": "request-validation"})

from fastapi.testclient import TestClient

from docs_src.websockets.tutorial003 import app, html

client = TestClient(app)


def test_get():
    response = client.get("/")
    assert response.text == html


def test_websocket_handle_disconnection():
    with client.websocket_connect("/ws/1234") as connection, client.websocket_connect(
        "/ws/5678"
    ) as connection_two:
        connection.send_text("Hello from 1234")

        };
    }

    private boolean addEdge(Path from, Path p, DefaultModelProblemCollector problems) {
        try {
            dag.addEdge(from.toString(), p.toString());
            return true;
        } catch (Graph.CycleDetectedException e) {
            problems.add(new DefaultModelProblem(
                    "Cycle detected between models at " + from + " and " + p,
                    ModelProblem.Severity.FATAL,

    lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from pydantic import BaseModel, create_model
from pydantic.fields import FieldInfo
from typing_extensions import Literal

if TYPE_CHECKING:  # pragma: nocover
    from .routing import APIRoute

# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[Type[BaseModel], Type[BaseModel]] = (
    WeakKeyDictionary()
)

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
from tensorflow.python.platform import tf_logging as _logging
from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader

from datetime import datetime, timedelta, timezone
from typing import List, Union

import jwt
from fastapi import Depends, FastAPI, HTTPException, Security, status
from fastapi.security import (
    OAuth2PasswordBearer,
    OAuth2PasswordRequestForm,
    SecurityScopes,
)
from jwt.exceptions import InvalidTokenError
from passlib.context import CryptContext
from pydantic import BaseModel, ValidationError
from typing_extensions import Annotated

        println("artifactResolved", event.getArtifact() + " from " + event.getRepository());
    }

    public void artifactDownloading(RepositoryEvent event) {
        println("artifactDownloading", event.getArtifact() + " from " + event.getRepository());
    }

    public void artifactDownloaded(RepositoryEvent event) {
        println("artifactDownloaded", event.getArtifact() + " from " + event.getRepository());
    }

from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow  # pylint: disable=unused-import
from tensorflow.python.tools import module_util as _module_util
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader

# Make sure code inside the TensorFlow codebase can use tf2.enabled() at import.
_os.environ["TF2_BEHAVIOR"] = "1"
from tensorflow.python import tf2 as _tf2

from pathlib import Path

from fastapi.testclient import TestClient

from docs_src.custom_response import tutorial009
from docs_src.custom_response.tutorial009 import app

client = TestClient(app)


def test_get(tmp_path: Path):
    file_path: Path = tmp_path / "large-video-file.mp4"
    tutorial009.some_file_path = str(file_path)
    test_content = b"Fake video bytes"
    file_path.write_bytes(test_content)
    response = client.get("/")