SecretStr: str,
    set: list,
    UUID: str,
    Url: str,
    AnyUrl: str,
}


def generate_encoders_by_class_tuples(
    type_encoder_map: Dict[Any, Callable[[Any], Any]],
) -> Dict[Callable[[Any], Any], Tuple[Any, ...]]:
    encoders_by_class_tuples: Dict[Callable[[Any], Any], Tuple[Any, ...]] = defaultdict(
        tuple
    )
    for type_, encoder in type_encoder_map.items():

        if read_with_orm_mode:
            # Let from_orm extract the data from this model instead of converting
            # it now to a dict.
            # Otherwise, there's no way to extract lazy data that requires attribute
            # access instead of dict iteration, e.g. lazy relationships.
            return res
        return _model_dump(
            res,
            by_alias=True,

	internalAudit "github.com/minio/minio/internal/logger/message/audit"
	"github.com/minio/minio/internal/mcontext"
	"github.com/minio/pkg/v3/logger/message/audit"

	xhttp "github.com/minio/minio/internal/http"
)

const contextAuditKey = contextKeyType("audit-entry")

// SetAuditEntry sets Audit info in the context.
func SetAuditEntry(ctx context.Context, audit *audit.Entry) context.Context {
	if ctx == nil {

		"Total number of messages sent since start",
		targetID)
)

// loadAuditMetrics - `MetricsLoaderFn` for audit
// such as failed messages and total messages.
func loadAuditMetrics(_ context.Context, m MetricValues, c *metricsCache) error {
	audit := logger.CurrentStats()
	for id, st := range audit {
		labels := []string{targetID, id}
		m.Set(auditFailedMessages, float64(st.FailedMessages), labels...)

                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body"],
                    "msg": "value is not a valid dict",
                    "type": "type_error.dict",
                }
            ]
        }
    )

                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body"],
                    "msg": "value is not a valid dict",
                    "type": "type_error.dict",
                }
            ]
        }
    )


@needs_py310

    assert response.status_code == 422
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "missing",
                    "loc": ["query", "q"],
                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

Harshavardhana <******@****.***> 1723587724 -0700

  public void testAnd_applyIterable() {
    Collection<Predicate<@Nullable Integer>> empty = Arrays.asList();
    assertEvalsToTrue(Predicates.and(empty));
    assertEvalsLikeOdd(Predicates.and(Arrays.asList(isOdd())));
    assertEvalsLikeOdd(Predicates.and(Arrays.asList(TRUE, isOdd())));
    assertEvalsToFalse(Predicates.and(Arrays.asList(FALSE, NEVER_REACHED)));
  }

  public void testAnd_equalityIterable() {
    new EqualsTester()

    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "foo",
                }
            ]
        }
    ) | IsDict(