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 the plugin.xml inside a plugin.

    @Override
    public Set<Plugin> getPluginsBoundByDefaultToAllLifecycles(String packaging) {
        if (logger.isDebugEnabled()) {
            logger.debug("Looking up lifecycle mappings for packaging " + packaging + " from "
                    + Thread.currentThread().getContextClassLoader());
        }

 * callable block} that may capture objects for later closing. To start a pipeline from a {@link
 * ListenableFuture} that doesn't create resources that should be closed later, you can use {@link
 * #from(ListenableFuture)} instead.
 *
 * <h3>Derived steps</h3>
 *
 * A {@code ClosingFuture} step can be derived from one or more input {@code ClosingFuture} steps in

./mc put /tmp/data/custpartsize minio1/test-bucket/custpartsize --enc-c "minio1/test-bucket/custpartsize=${TEST_MINIO_ENC_KEY}" --insecure --part-size 50MiB
set +x
sleep 120

# List the objects from source site
echo "Objects from source instance"
./mc ls minio1/test-bucket --insecure
count1=$(./mc ls minio1/test-bucket/plainfile --insecure | wc -l)
if [ "${count1}" -ne 1 ]; then
	echo "BUG: object minio1/test-bucket/plainfile not found"

from fastapi import APIRouter, FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Invoice(BaseModel):
    id: str
    title: str | None = None
    customer: str
    total: float


class InvoiceEvent(BaseModel):
    description: str
    paid: bool


class InvoiceEventReceived(BaseModel):
    ok: bool


invoices_callback_router = APIRouter()


@invoices_callback_router.post(

import pytest
from fastapi import FastAPI, Request, WebSocket, WebSocketDisconnect
from fastapi.routing import APIRoute, APIWebSocketRoute
from fastapi.testclient import TestClient

app = FastAPI()


@app.get("/users/{user_id}")
async def get_user(user_id: str, request: Request):
    route: APIRoute = request.scope["route"]
    return {"user_id": user_id, "path": route.path}


@app.websocket("/items/{item_id}")

import logging
import secrets
import subprocess
from collections import defaultdict
from pathlib import Path
from typing import Any

import httpx
import yaml
from github import Github
from pydantic import BaseModel, SecretStr
from pydantic_settings import BaseSettings

github_graphql_url = "https://api.github.com/graphql"


sponsors_query = """
query Q($after: String) {
  user(login: "tiangolo") {

    }

    /**
     * Returns a {@link CopyOptions} with the specified property names to exclude from the operation.
     *
     * @param propertyNames
     *            An array of property names. Must not be {@literal null} or an empty array.
     * @return A {@link CopyOptions} with the specified property names to exclude from the operation.
     * @see CopyOptions#exclude(CharSequence...)
     */

from starlette.applications import Starlette
from starlette.datastructures import State
from starlette.exceptions import HTTPException
from starlette.middleware import Middleware
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.middleware.errors import ServerErrorMiddleware
from starlette.middleware.exceptions import ExceptionMiddleware
from starlette.requests import Request

from unittest.mock import patch

from fastapi import FastAPI
from fastapi.responses import JSONResponse
from fastapi.testclient import TestClient
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    price: float


app = FastAPI()


@app.get("/default")
def get_default() -> Item:
    return Item(name="widget", price=9.99)


@app.get("/explicit", response_class=JSONResponse)