import java.util.concurrent.atomic.AtomicInteger;
import java.util.logging.Level;
import java.util.logging.Logger;
import org.checkerframework.checker.nullness.qual.Nullable;
import sun.misc.Unsafe;

/** Benchmarks for {@link ExecutionList}. */
@VmOptions({"-Xms8g", "-Xmx8g"})
public class ExecutionListBenchmark {
  private static final int NUM_THREADS = 10; // make a param?

  // simple interface to wrap our two implementations.

独立した TechEmpower のベンチマークでは、Uvicorn で動作する**FastAPI**アプリケーションが、<a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">Python フレームワークの中で最も高速なものの 1 つ</a>であり、Starlette と Uvicorn（FastAPI で内部的に使用されています）にのみ下回っていると示されています。

詳細は<a href="https://fastapi.tiangolo.com/benchmarks/" class="internal-link" target="_blank">ベンチマーク</a>セクションをご覧ください。

## オプションの依存関係

			if err == nil {
				if length := int64(len(data[test.offset:])); n != length {
					t.Errorf("Test %d: invalid number of bytes written: got: #%d want #%d", i, n, length)
				}
			}
		}
	}
}

// Benchmarks

func benchmarkErasureEncode(data, parity, dataDown, parityDown int, size int64, b *testing.B) {
	setup, err := newErasureTestSetup(b, data, parity, blockSizeV2)
	if err != nil {

//tensorflow/core/tfrt
//tensorflow/python/kernel_tests/signal
//tensorflow/examples
//tensorflow/tools/android
//tensorflow/python/eager/benchmarks
EOF

  # grep patterns for files and targets which don't need to be in the pip
  # package, ever.
  cat > $BATS_TEST_TMPDIR/ignore_these_deps <<EOF
benchmark
_test$
_test.py$
_test_cpu$
_test_cpu.py$
_test_gpu$
_test_gpu.py$
_test_lib$

Láti ní òye síi nípa rẹ̀, wo abala àwọn <a href="https://fastapi.tiangolo.com/benchmarks/" class="internal-link" target="_blank">Àlá</a>.

Uvicorn اجرا می‌شود، <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">یکی از سریع‌ترین فریم‌ورک‌های مبتنی بر پایتون</a>، است که کمی ضعیف‌تر از Starlette و Uvicorn عمل می‌کند (فریم‌ورک و سروری که FastAPI بر اساس آنها ایجاد شده است) (*)

برای درک بهتری از این موضوع به بخش <a href="https://fastapi.tiangolo.com/benchmarks/" class="internal-link" target="_blank">بنچ‌مارک‌ها</a>...

## 效能

來自獨立機構 TechEmpower 的測試結果，顯示在 Uvicorn 執行下的 **FastAPI** 是 <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">最快的 Python 框架之一</a>， 僅次於 Starlette 和 Uvicorn 本身 (兩者是 FastAPI 的底層)。 (\*)

想了解更多訊息，可以參考 <a href="https://fastapi.tiangolo.com/benchmarks/" class="internal-link" target="_blank">測試結果</a>。

## 可選的依賴套件

用於 Pydantic：

 * #offer} and a call to {@link #topK}, with O(k) memory. In comparison, quickselect has the same
 * asymptotics but requires O(n) memory, and a {@code PriorityQueue} implementation takes O(n log
 * k). In benchmarks, this implementation performs at least as well as either implementation, and
 * degrades more gracefully for worst-case input.
 *
 * <p>The implementation does not necessarily use a <i>stable</i> sorting algorithm; when multiple

///

## Performance e velocidade

   * than this method, and this method in turn generally performs better than copying the list and
   * calling {@link Collections#sort(List)}.
   */
  // TODO(kevinb): rerun benchmarks including new options
  public <E extends T> List<E> sortedCopy(Iterable<E> elements) {
    @SuppressWarnings("unchecked") // does not escape, and contains only E's
    E[] array = (E[]) Iterables.toArray(elements);