assertFalse(source.contentEquals(oneByteOff));
  }

  public void testSlice() throws IOException {
    // Test preconditions
    assertThrows(IllegalArgumentException.class, () -> source.slice(-1, 10));

    assertThrows(IllegalArgumentException.class, () -> source.slice(0, -1));

    assertCorrectSlice(0, 0, 0, 0);
    assertCorrectSlice(0, 0, 1, 0);
    assertCorrectSlice(100, 0, 10, 10);

////

//// tab | Pydantic v1

In Pydantic version 1, you would use an internal class `Config` and `schema_extra`, as described in <a href="https://docs.pydantic.dev/1.10/usage/schema/#schema-customization" class="external-link" target="_blank">Pydantic's docs: Schema customization</a>.

  istioctl x precheck

  # Check only a single namespace
  istioctl x precheck --namespace default

  # Check for behavioral changes since a specific version
  istioctl x precheck --from-version 1.10`,
		RunE: func(cmd *cobra.Command, args []string) (err error) {
			msgs := diag.Messages{}
			if !skipControlPlane {
				msgs, err = checkControlPlane(ctx)
				if err != nil {
					return err
				}
			}

			TransitionVersionID: inputs[0].remoteVersionID,
			TransitionStatus:    inputs[0].status,
		}
		ofi := fi
		if i&(1<<0) != 0 {
			ofi.TransitionTier = inputs[1].tier
		}
		if i&(1<<1) != 0 {
			ofi.TransitionedObjName = inputs[1].remoteObjName
		}
		if i&(1<<2) != 0 {
			ofi.TransitionVersionID = inputs[1].remoteVersionID
		}
		actual := fi.TransitionInfoEquals(ofi)
		if i == 0 && !actual {

      </plugin>
      <plugin>
        <groupId>org.codehaus.modello</groupId>
        <artifactId>modello-maven-plugin</artifactId>
        <configuration>
          <version>1.1.0</version>
          <!-- This is a required attribute and is intentionally left empty -->
          <models />
        </configuration>
        <executions>
          <execution>

   * guaranteed not to throw an exception). If you require specific handling, we recommend
   * implementing your own stats collector.
   *
   * @since 11.0
   */
  public CacheStats plus(CacheStats other) {
    return new CacheStats(
        saturatedAdd(hitCount, other.hitCount),
        saturatedAdd(missCount, other.missCount),

   * guaranteed not to throw an exception). If you require specific handling, we recommend
   * implementing your own stats collector.
   *
   * @since 11.0
   */
  public CacheStats plus(CacheStats other) {
    return new CacheStats(
        saturatedAdd(hitCount, other.hitCount),
        saturatedAdd(missCount, other.missCount),

- github.com/agnivade/levenshtein: [v1.1.1](https://github.com/agnivade/levenshtein/tree/v1.1.1)
- github.com/akavel/rsrc: [v0.10.2](https://github.com/akavel/rsrc/tree/v0.10.2)
- github.com/chzyer/logex: [v1.1.10](https://github.com/chzyer/logex/tree/v1.1.10)
- github.com/chzyer/test: [a1ea475](https://github.com/chzyer/test/tree/a1ea475)
- github.com/containerd/cgroups/v3: [v3.0.3](https://github.com/containerd/cgroups/tree/v3.0.3)

`"json_schema_extra"`를 생성된 JSON 스키마에서 보여주고 싶은 별도의 데이터와 `examples`를 포함하는 `dict`으로 설정할 수 있습니다.

////

//// tab | Pydantic v1

Pydantic v1에서 <a href="https://docs.pydantic.dev/1.10/usage/schema/#schema-customization" class="external-link" target="_blank">Pydantic 공식 문서: Schema customization</a>에서 설명하는 것처럼, 내부 클래스인 `Config`와 `schema_extra`를 사용할 것입니다.

			MetaDataEncryptionKey: base64.StdEncoding.EncodeToString(make([]byte, 48)),
		},
		DataKey: make([]byte, 48), KeyID: "key-1", SealedKey: SealedKey{Algorithm: SealAlgorithm, Key: [64]byte{1}, IV: [32]byte{1}},
	}, // 10
}

func TestS3ParseMetadata(t *testing.T) {
	for i, test := range s3ParseMetadataTests {
		keyID, dataKey, sealedKey, err := S3.ParseMetadata(test.Metadata)
		if err != nil && test.ExpectedErr == nil {