import pytest
from dirty_equals import IsDict, IsOneOf
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.security.tutorial005_py310 import app

    client = TestClient(app)
    return client


def get_access_token(
    *, username="johndoe", password="secret", scope=None, client: TestClient
):

import pytest
from dirty_equals import IsDict, IsOneOf
from fastapi.testclient import TestClient

from ...utils import needs_py39


@pytest.fixture(name="client")
def get_client():
    from docs_src.security.tutorial005_py39 import app

    client = TestClient(app)
    return client


def get_access_token(
    *, username="johndoe", password="secret", scope=None, client: TestClient
):

package clause_test

import (
	"database/sql"
	"fmt"
	"reflect"
	"sync"
	"testing"

	"gorm.io/gorm"
	"gorm.io/gorm/clause"
	"gorm.io/gorm/schema"
	"gorm.io/gorm/utils/tests"
)

func TestExpr(t *testing.T) {
	results := []struct {
		SQL    string
		Result string
		Vars   []interface{}
	}{{
		SQL:    "create table ? (? ?, ? ?)",

package tests_test

import (
	"testing"

	. "gorm.io/gorm/utils/tests"
)

func TestHasOneAssociation(t *testing.T) {
	user := *GetUser("hasone", Config{Account: true})

	if err := DB.Create(&user).Error; err != nil {
		t.Fatalf("errors happened when create: %v", err)
	}

	CheckUser(t, user, user)

	// Find
	var user2 User
	DB.Find(&user2, "id = ?", user.ID)
	DB.Model(&user2).Association("Account").Find(&user2.Account)

package schema_test

import (
	"strings"
	"sync"
	"testing"

	"gorm.io/gorm"
	"gorm.io/gorm/schema"
	"gorm.io/gorm/utils/tests"
)

func TestParseSchema(t *testing.T) {
	user, err := schema.Parse(&tests.User{}, &sync.Map{}, schema.NamingStrategy{})
	if err != nil {
		t.Fatalf("failed to parse user, got error %v", err)
	}

	checkUserSchema(t, user)
}

func TestParseSchemaWithMap(t *testing.T) {
	type User struct {

Quando você verifica os benchmarks, é comum ver diversas ferramentas de diferentes tipos comparados como se fossem equivalentes.

Especificamente, para ver o Uvicorn, Starlette e FastAPI comparados entre si (entre diversas outras ferramentas).

Quanto mais simples o problema resolvido pela ferramenta, melhor será a performance. E a maioria das análises não testa funcionalidades adicionais que são oferecidas pela ferramenta.

A hierarquia é:

Ao verificar os _benchmarks_, é comum observar algumas ferramentas de diferentes tipos comparadas como equivalentes.

Especificamente, observa-se Uvicorn, Starlette e FastAPI comparados juntos (entre muitas outras ferramentas).

Quanto mais simples o problema resolvido pela ferramenta, melhor a performance que ela terá. E a maioria dos _benchmarks_ não testam as características adicionais fornecidas pela ferramenta.

 *       suite()} method with {@code Suppress}. Would {@code FooTest} itself be suppressed, too?
 *   <li>In at least one case, a use of {@code sun.misc.FpUtils}, the test will not even
 *       <i>compile</i> against Android. Now, this might be an artifact of our build system, one
 *       that we could probably work around. Or we could manually strip the test from open-source

from unittest.mock import patch

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture
def client():
    from docs_src.body.tutorial001_py310 import app

    client = TestClient(app)
    return client


@needs_py310
def test_body_float(client: TestClient):
    response = client.post("/items/", json={"name": "Foo", "price": 50.5})

              <exclude>org.apache.maven.model.composition.DefaultDependencyManagementImporter#importManagement(org.apache.maven.model.Model,java.util.List,org.apache.maven.model.building.ModelBuildingRequest,org.apache.maven.model.building.ModelProble...