SimpleProblemCollector result = validate("invalid-coordinate-ids-pom.xml");

        assertViolations(result, 0, 2, 0);

        assertEquals(
                "'groupId' with value 'o/a/m' does not match a valid coordinate id pattern.",
                result.getErrors().get(0));

        assertEquals(
                "'artifactId' with value 'm$-do$' does not match a valid coordinate id pattern.",

* Valide les **structures complexes**:
    * Utilise les modèles hiérarchique de Pydantic, le `typage` Python pour les `Lists`, `Dict`, etc.
    * Et les validateurs permettent aux schémas de données complexes d'être clairement et facilement définis, validés et documentés sous forme d'un schéma JSON.

	DeleteReplicationType
	MetadataReplicationType
	HealReplicationType
	ExistingObjectReplicationType
	ResyncReplicationType
	AllReplicationType
)

// Valid returns true if replication type is set
func (t Type) Valid() bool {
	return t > 0
}

// IsDataReplication returns true if content being replicated
func (t Type) IsDataReplication() bool {
	switch t {

	}

	// normalize the name to letters, digits, _ or $
	valid := true
	cleaned := strings.Map(func(r rune) rune {
		switch {
		case unicode.IsLetter(r):
			return 'a'
		case unicode.IsDigit(r):
			return '0'
		case r == '_', r == '$':
			return r
		default:
			valid = false
			return -1
		}
	}, name)

	if valid {
		// check for simple name or quoted name

		{bucketName: "------", objName: "obj", PartID: 1, expectedError: fmt.Errorf("%s", "Bucket name invalid: ------")},
		{
			bucketName: "$this-is-not-valid-too", objName: "obj", PartID: 1,
			expectedError: fmt.Errorf("%s", "Bucket name invalid: $this-is-not-valid-too"),
		},
		{bucketName: "a", objName: "obj", PartID: 1, expectedError: fmt.Errorf("%s", "Bucket name invalid: a")},
		// Test case - 5.

		return false
	}

	if sf.LowerBound > 0 && sz < int64(sf.LowerBound) {
		return false
	}
	return true
}

// Validate checks if sf is a valid batch-job size filter
func (sf BatchJobSizeFilter) Validate() error {
	if sf.LowerBound > 0 && sf.UpperBound > 0 && sf.LowerBound >= sf.UpperBound {
		return BatchJobYamlErr{
			line: sf.line,
			col:  sf.col,

}

// testListMultipartUploadsHandler - Tests validate listing of multipart uploads.
func testListMultipartUploadsHandler(obj ObjectLayer, instanceType, bucketName string, apiRouter http.Handler,
	credentials auth.Credentials, t *testing.T,
) {
	// Collection of non-exhaustive ListMultipartUploads test cases, valid errors
	// and success responses.
	testCases := []struct {

	token := jwtgo.NewWithClaims(jwtgo.SigningMethodHS256, claimsMap)
	tokenString, err := token.SignedString(signKey)
	if err != nil {
		t.Error(err)
	}

	// Parse token to be sure it is valid
	err = jwtm.ParseWithClaims(tokenString, claimsMap, func(*jwtm.MapClaims) ([]byte, error) {
		return signKey, nil
	})
	if err != nil {
		t.Error(err)
	}
}

```Python hl_lines="7"
{!../../docs_src/query_params_str_validations/tutorial013.py!}
```

/// note | "Observação"

Tenha em mente que neste caso, o FastAPI não irá validar os conteúdos da lista.

Por exemplo, um `List[int]` iria validar (e documentar) que os contéudos da lista são números inteiros. Mas apenas `list` não.

///

## Declarando mais metadados

Você pode adicionar mais informações sobre o parâmetro.

				if err != nil {
					return parsedPolicy, err
				}

				parsedPolicy.Conditions.ContentLengthRange = contentLengthRange{
					Min:   min,
					Max:   max,
					Valid: true,
				}
			default:
				// Condition should be valid.
				return parsedPolicy, fmt.Errorf("Unknown type %s of conditional field value %s found in POST policy form",
					reflect.TypeOf(condt).String(), condt)
			}
		default: