=== "Python 3.10+"

    ```Python hl_lines="58-66  69-74  94"
    {!> ../../../docs_src/security/tutorial003_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="58-66  69-74  94"
    {!> ../../../docs_src/security/tutorial003_an_py39.py!}
    ```

=== "Python 3.8+"

=== "Python 3.10+"

    ```Python hl_lines="58-66  69-74  94"
    {!> ../../../docs_src/security/tutorial003_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="58-66  69-74  94"
    {!> ../../../docs_src/security/tutorial003_an_py39.py!}
    ```

=== "Python 3.8+"

если рабочая нагрузка предполагает **ограничение по процессору**,
как, например, в системах машинного обучения. <!--http://new.gramota.ru/spravka/punctum?layout=item&id=58_329-->

Необходимо также отметить, что Python является главным языком в области
<abbr title="наука о данных (data science)">**дата-сайенс**</abbr>,
машинного обучения и, особенно, глубокого обучения. Всё это делает FastAPI

    private static byte[] pc1 = {
        (byte)56, (byte)48, (byte)40, (byte)32, (byte)24, (byte)16, (byte) 8,
        (byte) 0, (byte)57, (byte)49, (byte)41, (byte)33, (byte)25, (byte)17,
        (byte) 9, (byte) 1, (byte)58, (byte)50, (byte)42, (byte)34, (byte)26,
        (byte)18, (byte)10, (byte) 2, (byte)59, (byte)51, (byte)43, (byte)35,
        (byte)62, (byte)54, (byte)46, (byte)38, (byte)30, (byte)22, (byte)14,

pkg debug/elf, const R_390_GLOB_DAT R_390
pkg debug/elf, const R_390_GOT12 = 6
pkg debug/elf, const R_390_GOT12 R_390
pkg debug/elf, const R_390_GOT16 = 15
pkg debug/elf, const R_390_GOT16 R_390
pkg debug/elf, const R_390_GOT20 = 58
pkg debug/elf, const R_390_GOT20 R_390
pkg debug/elf, const R_390_GOT32 = 7
pkg debug/elf, const R_390_GOT32 R_390
pkg debug/elf, const R_390_GOT64 = 24
pkg debug/elf, const R_390_GOT64 R_390

	_ = x[ErrRemoteTargetNotVersionedError-54]
	_ = x[ErrReplicationSourceNotVersionedError-55]
	_ = x[ErrReplicationNeedsVersioningError-56]
	_ = x[ErrReplicationBucketNeedsVersioningError-57]
	_ = x[ErrReplicationDenyEditError-58]
	_ = x[ErrRemoteTargetDenyAddError-59]
	_ = x[ErrReplicationNoExistingObjects-60]
	_ = x[ErrReplicationValidationError-61]
	_ = x[ErrReplicationPermissionCheckError-62]
	_ = x[ErrObjectRestoreAlreadyInProgress-63]

이러한 의존성 모두, 사용자가 존재하지 않거나 비활성인 경우 HTTP 오류를 반환합니다.

따라서 엔드포인트에서는 사용자가 존재하고 올바르게 인증되었으며 활성 상태인 경우에만 사용자를 얻습니다:

=== "파이썬 3.7 이상"

    ```Python hl_lines="58-66  69-72  90"
    {!> ../../../docs_src/security/tutorial003.py!}
    ```

=== "파이썬 3.10 이상"

    ```Python hl_lines="55-64  67-70  88"
    {!> ../../../docs_src/security/tutorial003_py310.py!}
    ```

  @VisibleForTesting
  static int[] biggestBinomials = {
    Integer.MAX_VALUE,
    Integer.MAX_VALUE,
    65536,
    2345,
    477,
    193,
    110,
    75,
    58,
    49,
    43,
    39,
    37,
    35,
    34,
    34,
    33
  };

  /**
   * Returns the arithmetic mean of {@code x} and {@code y}, rounded towards negative infinity. This

		if zr.File[i].Name != want {
			t.Fatalf("File(%d) = %q, want %q", i, zr.File[i].Name, want)
		}
	}
}

func TestModTime(t *testing.T) {
	var testTime = time.Date(2009, time.November, 10, 23, 45, 58, 0, time.UTC)
	fh := new(FileHeader)
	fh.SetModTime(testTime)
	outTime := fh.ModTime()
	if !outTime.Equal(testTime) {
		t.Errorf("times don't match: got %s, want %s", outTime, testTime)
	}
}

                    <mxGeometry relative="1" as="geometry"/>
                </mxCell>
                <mxCell id="58" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;strokeWidth=3;dashed=1;startArrow=none;" edge="1" parent="1" source="102" target="57">
                    <mxGeometry relative="1" as="geometry">