formatZstd
	formatLZ4
	formatS2
	formatBZ2
)

var magicHeaders = []struct {
	header []byte
	f      format
}{
	{
		header: []byte{0x1f, 0x8b, 8},
		f:      formatGzip,
	},
	{
		// Zstd default header.
		header: []byte{0x28, 0xb5, 0x2f, 0xfd},
		f:      formatZstd,
	},
	{
		// Zstd skippable frame header.
		header: []byte{0x2a, 0x4d, 0x18},
		f:      formatZstd,
	},
	{
		// LZ4

				} else {
					logger.Default.Warn(context.Background(), "In model %v, the hook function `%v(*gorm.DB) error` has an incorrect parameter type. The expected parameter type is `%v`, but the provided type is `%v`.", schema, cbName, expectedPkgPath, inVarPkg)
					// PASS
				}
			default:

		return true
	case reflect.Uint, reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64:
		return true
	case reflect.Float32, reflect.Float64:
		return true
	default:
		return false
	}
}

// ExplainSQL generate SQL string with given parameters, the generated SQL is expected to be used in logger, execute it might introduce a SQL injection vulnerability

const xmlNS = "http://s3.amazonaws.com/doc/2006-03-01/"

// BucketSSEConfig - represents default bucket encryption configuration
type BucketSSEConfig struct {
	XMLNS   string   `xml:"xmlns,attr,omitempty"`
	XMLName xml.Name `xml:"ServerSideEncryptionConfiguration"`
	Rules   []Rule   `xml:"Rule"`
}

// ParseBucketSSEConfig - Decodes given XML to a valid default bucket encryption config
func ParseBucketSSEConfig(r io.Reader) (*BucketSSEConfig, error) {

  logger:
    level: "debug"
    format: "text" # can also be "json"

# Default values shown below
oauth2:
  # use ["code", "token", "id_token"] to enable implicit flow for web-only clients
  responseTypes: [ "code", "token", "id_token" ] # also allowed are "token" and "id_token"
  # By default, Dex will ask for approval to share data with application

common --repo_env=ML_WHEEL_VERSION_SUFFIX=""

# For projects which use TensorFlow as part of a Bazel build process, putting
# nothing in a bazelrc will default to a monolithic build. The following line
# opts in to modular op registration support by default.
common --define framework_shared_object=true
common --define tsl_protobuf_header_only=true

common --define=allow_oversize_protos=true

    return implied;
  }

  @Retention(RetentionPolicy.RUNTIME)
  @Inherited
  @TesterAnnotation
  public @interface Require {
    ListFeature[] value() default {};

    ListFeature[] absent() default {};
  }

    return emptySet();
  }

  @Retention(RetentionPolicy.RUNTIME)
  @Inherited
  @TesterAnnotation
  public @interface Require {
    MultisetFeature[] value() default {};

    MultisetFeature[] absent() default {};
  }

      - "9000:9000"
      - "9001:9001"
    depends_on:
      - minio1
      - minio2
      - minio3
      - minio4
      - minio5
      - minio6
      - minio7
      - minio8

## By default this config uses default local driver,
## For custom volumes replace with volume driver configuration.
volumes:
  pdata1-1:
  pdata1-2:
  pdata2-1:
  pdata2-2:
  pdata3-1:
  pdata3-2:
  pdata4-1:
  pdata4-2:

            f" Please update the response model {type_!r}."
        )
    class_validators = class_validators or {}

    field_info = field_info or FieldInfo(annotation=type_, default=default, alias=alias)
    kwargs = {"mode": mode, "name": name, "field_info": field_info}
    try:
        return v2.ModelField(**kwargs)  # type: ignore[return-value,arg-type]
    except PydanticSchemaGenerationError: