}
	return false
}

// MCR is not defined by the obj/arm; instead we define it privately here.
// It is encoded as an MRC with a bit inside the instruction word,
// passed to arch.ARMMRCOffset.
const aMCR = arm.ALAST + 1

// IsARMMRC reports whether the op (as defined by an arm.A* constant) is
// MRC or MCR.
func IsARMMRC(op obj.As) bool {
	switch op {
	case arm.AMRC, aMCR: // Note: aMCR is defined in this package.

It was one of the first extremely fast Python frameworks based on `asyncio`. It was made to be very similar to Flask.

/// note | "Technical Details"

It used <a href="https://github.com/MagicStack/uvloop" class="external-link" target="_blank">`uvloop`</a> instead of the default Python `asyncio` loop. That's what made it so fast.

p-with-fastapi-part-one-7c049292ad37 title: Creating a CRUD App with FastAPI (Part one) - author: Farhad Malik author_link: https://medium.com/@farhadmalik link: https://towardsdatascience.com/build-and-host-fast-data-science-applications-using-fastapi-823be8a1d6a0 title: Build And Host Fast Data Science Applications Using FastAPI - author: Navule Pavan Kumar Rao author_link: https://www.linkedin.com/in/navule/ link: https://www.tutlinks.com/deploy-fastapi-on-azure/ title: Deploy FastAPI on Azure...

ویژگی‌های کلیدی این فریم‌ورک عبارتند از:

* **<abbr title="Fast">سرعت</abbr>**: کارایی بسیار بالا و قابل مقایسه با  **NodeJS** و **Go** (با تشکر از Starlette و Pydantic). [یکی از سریع‌ترین فریم‌ورک‌های پایتونی موجود](#_10).

* **<abbr title="Fast to code">کدنویسی سریع</abbr>**: افزایش ۲۰۰ تا ۳۰۰ درصدی سرعت توسعه قابلیت‌های جدید. *

3.x, null would yield a username or password of "null".

#### HttpUrl.queryParameterValues()

The return type of `HttpUrl.queryParameterValues()` is `List<String?>`. Lists that may contain null
are uncommon and Kotlin callers may have incorrectly assigned the result to `List<String>`.


Code Cleanup
------------

IntelliJ and Android Studio offer a **Code Cleanup** feature that will automatically update

  }

  public void testLexicographicalComparator() {
    List<int[]> ordered =
        Arrays.asList(
            new int[] {},
            new int[] {LEAST},
            new int[] {LEAST, LEAST},
            new int[] {LEAST, (int) 1L},
            new int[] {(int) 1L},
            new int[] {(int) 1L, LEAST},
            new int[] {GREATEST, (GREATEST - (int) 1L)},

		result = qProp{err: errUnexpectedInvalidNode}
	}
	return
}

func (e *FuncExpr) analyze(s *Select) (result qProp) {
	funcName := e.getFunctionName()

	switch funcName {
	case sqlFnCast:
		return e.Cast.Expr.analyze(s)

	case sqlFnExtract:
		return e.Extract.From.analyze(s)

	case sqlFnDateAdd:
		result.combine(e.DateAdd.Quantity.analyze(s))
		result.combine(e.DateAdd.Timestamp.analyze(s))
		return result

import com.google.common.collect.testing.google.TestBiMapGenerator;
import com.google.common.testing.NullPointerTester;
import com.google.common.testing.SerializableTester;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestSuite;

/**
 * Tests for {@code EnumHashBiMap}.

  // onto its internal state after a call to `ComputeGradient`.
  using GradientTape<AbstractTensorHandle, GradientFunction,
                     TapeTensor>::IsPersistent;

  // Adds this tensor to the list of watched tensors.
  //
  // This is a no-op if the tensor is already being watched either from an
  // earlier call to `GradientTape::Watch` or being an output of an op with
  // watched inputs.

	if i.remoteClients == nil {
		i.remoteClients = make(map[string]kube.CLIClient)
	}
	// Validate if "all" incoming contexts are present in the kubeconfig. Fail fast if not.
	rawConfig, err := clientcmd.NewNonInteractiveDeferredLoadingClientConfig(kube.ConfigLoadingRules(*i.kubeconfig), nil).RawConfig()
	if err != nil {