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

    /**
     * Reads text from a file in UTF-8 encoding.
     *
     * @param file
     *            The file. Must not be {@literal null}.
     * @return The text read from the file.
     */
    public static String readUTF8(final File file) {
        assertArgumentNotNull("file", file);
        return readText(file, UTF8);
    }

    /**
     * Returns the contents read from the reader as a string.
     *

        }
    }

    /**
     * Reads text from the given {@link Reader}.
     * <p>
     * The {@link Reader} is not closed by this method.
     * </p>
     *
     * @param reader
     *            the character input stream to read from (must not be {@literal null})
     * @return the text read from the reader
     */
    public static String readText(final Reader reader) {

from typing import Annotated, Literal

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):

from fastapi import FastAPI, Request
from fastapi.encoders import jsonable_encoder
from fastapi.exceptions import RequestValidationError
from fastapi.responses import JSONResponse
from pydantic import BaseModel

app = FastAPI()


@app.exception_handler(RequestValidationError)
async def validation_exception_handler(request: Request, exc: RequestValidationError):
    return JSONResponse(
        status_code=422,

from datetime import datetime
from typing import Union

from pydantic import BaseModel


class User(BaseModel):
    id: int
    name: str = "John Doe"
    signup_ts: Union[datetime, None] = None
    friends: list[int] = []


external_data = {
    "id": "123",
    "signup_ts": "2017-06-01 12:22",
    "friends": [1, "2", b"3"],
}
user = User(**external_data)
print(user)

///

## Exclude from OpenAPI { #exclude-from-openapi }

To exclude a *path operation* from the generated OpenAPI schema (and thus, from the automatic documentation systems), use the parameter `include_in_schema` and set it to `False`:

{* ../../docs_src/path_operation_advanced_configuration/tutorial003_py39.py hl[6] *}

## Advanced description from docstring { #advanced-description-from-docstring }

import functools

from fastapi import FastAPI
from fastapi.testclient import TestClient

from .forward_reference_type import forwardref_method


def passthrough(f):
    @functools.wraps(f)
    def method(*args, **kwargs):
        return f(*args, **kwargs)

    return method


def test_wrapped_method_type_inference():
    """
    Regression test ensuring that when a method imported from another module

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


class Item(BaseModel):
    id: str
    value: str


class Message(BaseModel):
    message: str


app = FastAPI()


@app.get("/items/{item_id}", response_model=Item, responses={404: {"model": Message}})
async def read_item(item_id: str):
    if item_id == "foo":

from typing import Union

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None


@app.put("/items/{item_id}")
async def update_item(
    item_id: int,
    item: Item = Body(
        examples=[
            {
                "name": "Foo",