module gorm.io/gorm

go 1.18

require (
	github.com/jinzhu/inflection v1.0.0
	github.com/jinzhu/now v1.1.5
	golang.org/x/text v0.20.0
)

require (
	github.com/mattn/go-sqlite3 v1.14.22 // indirect
	gorm.io/driver/sqlite v1.6.0 // indirect

    waiter2.join();
  }

  public void testRemoveWaiter_polling() throws Exception {
    AbstractFuture<String> future = new AbstractFuture<String>() {};
    WaiterThread waiter = new WaiterThread(future);
    waiter.start();
    waiter.awaitWaiting();
    PollingThread poller = new PollingThread(future);
    poller.start();
    PollingThread poller2 = new PollingThread(future);
    poller2.start();

    waiter2.join();
  }

  public void testRemoveWaiter_polling() throws Exception {
    AbstractFuture<String> future = new AbstractFuture<String>() {};
    WaiterThread waiter = new WaiterThread(future);
    waiter.start();
    waiter.awaitWaiting();
    PollingThread poller = new PollingThread(future);
    poller.start();
    PollingThread poller2 = new PollingThread(future);
    poller2.start();

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package tests_test

import (
	"testing"

	"gorm.io/driver/mysql"
	"gorm.io/gorm"
)

func TestWithSingleConnection(t *testing.T) {
	expectedName := "test"
	var actualName string

	setSQL, getSQL := getSetSQL(DB.Dialector.Name())
	if len(setSQL) == 0 || len(getSQL) == 0 {
		return
	}

	err := DB.Connection(func(tx *gorm.DB) error {
		if err := tx.Exec(setSQL, expectedName).Error; err != nil {
			return err
		}

  // TODO: Test interrupts with both interruptible and uninterruptible monitor.
  // TODO: Test multiple waiters: If guard is still satisfied, signal next waiter.
  // TODO: Test multiple waiters: If guard is no longer satisfied, do not signal next waiter.

package gorm_test

import (
	"context"
	"testing"

	"gorm.io/driver/sqlite"
	"gorm.io/gorm"
)

type withResultUser struct {
	ID   uint
	Name string
}

func TestWithResultIncludesError(t *testing.T) {
	db, err := gorm.Open(sqlite.Open("file::memory:?cache=shared"), &gorm.Config{})
	if err != nil {
		t.Fatalf("open db failed: %v", err)
	}
	if err := db.AutoMigrate(&withResultUser{}); err != nil {

pkg database/sql, type Out struct, In bool
pkg database/sql, var ErrConnDone error
pkg database/sql/driver, type NamedValueChecker interface { CheckNamedValue }
pkg database/sql/driver, type NamedValueChecker interface, CheckNamedValue(*NamedValue) error
pkg database/sql/driver, var ErrRemoveArgument error
pkg encoding/asn1, const TagNull = 5
pkg encoding/asn1, const TagNull ideal-int

pkg database/sql, method (*DB) SetConnMaxIdleTime(time.Duration)
pkg database/sql, method (*Row) Err() error
pkg database/sql, type DBStats struct, MaxIdleTimeClosed int64
pkg database/sql/driver, type Validator interface { IsValid }
pkg database/sql/driver, type Validator interface, IsValid() bool
pkg debug/pe, const IMAGE_DLLCHARACTERISTICS_APPCONTAINER = 4096
pkg debug/pe, const IMAGE_DLLCHARACTERISTICS_APPCONTAINER ideal-int

Se você tiver uma API que faz uma quantidade comparável de cálculos todas as vezes e tiver muitos clientes, então a **utilização da CPU** provavelmente *também será estável* (em vez de ficar constantemente subindo e descendo rapidamente).

### Exemplos de ferramentas e estratégias de replicação { #examples-of-replication-tools-and-strategies }