import time
from typing import Annotated

from fastapi import Depends, FastAPI, HTTPException
from fastapi.responses import StreamingResponse
from sqlmodel import Field, Session, SQLModel, create_engine

engine = create_engine("postgresql+psycopg://postgres:postgres@localhost/db")


class User(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str


app = FastAPI()


def get_session():

        return Traversal.inGraph(graph);
      }
    };
  }

  /**
   * Creates a new traverser for a directed acyclic graph that has at most one path from the start
   * node(s) to any node reachable from the start node(s), and has no paths from any start node to
   * any other start node, such as a tree or forest.
   *
   * <p>{@code forTree()} is especially useful (versus {@code forGraph()}) in cases where the data

import warnings
from collections.abc import Callable, Sequence
from dataclasses import dataclass
from enum import Enum
from typing import Annotated, Any, Literal

from fastapi.exceptions import FastAPIDeprecationWarning
from fastapi.openapi.models import Example
from pydantic import AliasChoices, AliasPath
from pydantic.fields import FieldInfo
from typing_extensions import deprecated

from ._compat import (
    Undefined,
)

    // Owner is subclassed
    assertHasTypeVariable(new From<Integer>() {}.new To<String>().type());
    assertHasTypeVariable(new From<T>() {}.new To<String>().type());

    // Inner is subclassed
    assertNoTypeVariable(new From<Integer>().new To<String>() {}.type());
    assertHasTypeVariable(new From<Integer>().new To<T>() {}.type());

import pytest
from dirty_equals import HasRepr
from fastapi import Depends, FastAPI
from fastapi.exceptions import ResponseValidationError
from fastapi.testclient import TestClient
from inline_snapshot import snapshot


@pytest.fixture(name="client")
def get_client():
    from pydantic import BaseModel, ValidationInfo, field_validator

    app = FastAPI()

    class ModelB(BaseModel):
        username: str

    class ModelC(ModelB):

	for x := 0; x < b.N; x++ {
		DB.Raw("select * from users where id = ?", user.ID).Scan(&u)
	}
}

func BenchmarkScanSlice(b *testing.B) {
	DB.Exec("delete from users")
	for i := 0; i < 10_000; i++ {
		user := *GetUser(fmt.Sprintf("scan-%d", i), Config{})
		DB.Create(&user)
	}

	var u []User
	b.ResetTimer()
	for x := 0; x < b.N; x++ {
		DB.Raw("select * from users").Scan(&u)
	}
}

    *   Upgrade Flatbuffers v2.0.5 from v1.12.0

*   `tf.keras`:

    *   `EinsumDense` layer is moved from experimental to core. Its import path
        is moved from `tf.keras.layers.experimental.EinsumDense` to
        `tf.keras.layers.EinsumDense`.
    *   Added `tf.keras.utils.audio_dataset_from_directory` utility to easily
        generate audio classification datasets from directories of `.wav` files.

# -*- coding: utf-8 -*-
from xml.etree import cElementTree
from xml.etree.cElementTree import ParseError

if hasattr(cElementTree, 'ParseError'):
    _ETREE_EXCEPTIONS = (ParseError, AttributeError, ValueError, TypeError)
else:
    _ETREE_EXCEPTIONS = (SyntaxError, AttributeError, ValueError, TypeError)

_STS_NS = {'sts': 'https://sts.amazonaws.com/doc/2011-06-15/'}


class STSElement(object):

from fastapi import FastAPI
from fastapi.staticfiles import StaticFiles

app = FastAPI()

        // Then
        assertTrue(CommonServerMessageBlockRequest.class.isAssignableFrom(Request.class));
    }

    @Test
    @DisplayName("Test Request methods inherited from CommonServerMessageBlockRequest")
    void testInheritedMethods() {
        // Given
        when(request.isResponseAsync()).thenReturn(true);
        when(request.getNext()).thenReturn(nextRequest);