} else if len(users2) != len(users) {
		t.Fatalf("Failed to load join users, got: %v, expect: %v", len(users2), len(users))
	}

	sort.Slice(users2, func(i, j int) bool {
		return users2[i].ID > users2[j].ID
	})

	sort.Slice(users, func(i, j int) bool {
		return users[i].ID > users[j].ID
	})

	for idx, user := range users {
		CheckUser(t, user, users2[idx])
	}
}

func TestJoinConds(t *testing.T) {

    }
    return tensorflow::errors::Internal("Graph pass runs for more than once!");
  }

 private:
  bool first_call_ = true;
};

// After the graph pass is registered, it takes effect globally and can affect
// other test cases. Define a static variable to switch it on and off.
bool GraphErrorInjectionPass::enabled_ = false;

// Test to ensure that a registered graph optimization pass is only executed

}

const floatCmpTolerance = 0.000001

func (e *In) evalInNode(r Record, lhs *Value, tableAlias string) (*Value, error) {
	// Compare two values in terms of in-ness.
	var cmp func(a, b Value) bool
	cmp = func(a, b Value) bool {
		// Convert if needed.
		inferTypesForCmp(&a, &b)

		if a.Equals(b) {
			return true
		}

		// If elements, compare each.
		aA, aOK := a.ToArray()
		bA, bOK := b.ToArray()

	// Custom exit function
	exit := func(success bool) {
		if globalLoggerOutput != nil {
			globalLoggerOutput.Close()
		}

		// If global profiler is set stop before we exit.
		globalProfilerMu.Lock()
		defer globalProfilerMu.Unlock()
		for _, p := range globalProfiler {
			p.Stop()
		}

		if success {
			os.Exit(0)
		}

		os.Exit(1)
	}

	stopProcess := func() bool {

		Name string `gorm:"unique"`
	}

	db, err := OpenTestConnection(&gorm.Config{TranslateError: true})
	if err != nil {
		t.Fatalf("failed to connect database, got error %v", err)
	}

	dialectors := map[string]bool{"sqlite": true, "postgres": true, "gaussdb": true, "mysql": true, "sqlserver": true}
	if supported, found := dialectors[db.Dialector.Name()]; !(found && supported) {
		return
	}

	DB.Migrator().DropTable(&City{})

			if dc.IsNil() {
				err = dc.ReadNil()
				if err != nil {
					err = msgp.WrapError(err, "Disable")
					return
				}
				z.Disable = nil
			} else {
				if z.Disable == nil {
					z.Disable = new(bool)
				}
				*z.Disable, err = dc.ReadBool()
				if err != nil {
					err = msgp.WrapError(err, "Disable")
					return
				}
			}
		case "Batch":
			if dc.IsNil() {
				err = dc.ReadNil()

}

// Close - releases the resources used by the pool.
func (target *RedisTarget) Close() error {
	close(target.quitCh)
	if target.pool != nil {
		return target.pool.Close()
	}
	return nil
}

func (target *RedisTarget) init() error {
	return target.initOnce.Do(target.initRedis)
}

func (target *RedisTarget) initRedis() error {
	conn := target.pool.Get()
	defer conn.Close()

  // Following two methods are used to support custom device.
  // Return true if the inputs contain custom device tensor handle. It means
  // that the argument need to be handled by a custom device.
  virtual bool HasCustomDeviceInput() const = 0;

  virtual const tensorflow::OpDef* OpDef() const = 0;

  virtual absl::Status InputLength(const char* input_name, int* length) = 0;

        bool((must, should, mustNot, filter) -> notLambda.callback(mustNot), opLambda);
    }

    public void bool(BoolCall<ElevateWordToLabelCQ> boolLambda) {
        bool(boolLambda, null);
    }

    public void bool(BoolCall<ElevateWordToLabelCQ> boolLambda, ConditionOptionCall<BoolQueryBuilder> opLambda) {

from fastapi import FastAPI, Response
from fastapi.responses import RedirectResponse

app = FastAPI()


@app.get("/portal")
async def get_portal(teleport: bool = False) -> Response | dict:
    if teleport:
        return RedirectResponse(url="https://www.youtube.com/watch?v=dQw4w9WgXcQ")