// isEmpty returns true if Tags field is null
func (a And) isEmpty() bool {
	return len(a.Tags) == 0 && !a.Prefix.set &&
		a.ObjectSizeGreaterThan == 0 && a.ObjectSizeLessThan == 0
}

// Validate - validates the And field
func (a And) Validate() error {
	// > This is used in a Lifecycle Rule Filter to apply a logical AND to two or more predicates.
	// ref: https://docs.aws.amazon.com/AmazonS3/latest/API/API_LifecycleRuleAndOperator.html

	}
	if err := r.Encryption.Validate(); err != nil {
		return err
	}

	for _, tag := range r.Flags.Filter.Tags {
		if err := tag.Validate(); err != nil {
			return err
		}
	}

	for _, meta := range r.Flags.Filter.Metadata {
		if err := meta.Validate(); err != nil {
			return err
		}
	}

	return r.Flags.Retry.Validate()

			config.Rules[i].DeleteReplication = DeleteReplication{
				Status: Disabled,
			}
		}
	}
	return &config, nil
}

// Validate - validates the replication configuration
func (c Config) Validate(bucket string, sameTarget bool) error {
	// replication config can't have more than 1000 rules
	if len(c.Rules) > 1000 {
		return errReplicationTooManyRules
	}

    * Swagger UI.
    * ReDoc.

---

Coming back to the previous code example, **FastAPI** will:

* Validate that there is an `item_id` in the path for `GET` and `PUT` requests.
* Validate that the `item_id` is of type `int` for `GET` and `PUT` requests.
    * If it is not, the client will see a useful, clear error.

    //                                                                      ==============
    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse index(final SearchForm form) {
        validate(form, messages -> {}, this::asDictIndexHtml);
        charMappingPager.clear();
        return asHtml(path_AdminDictMapping_AdminDictMappingJsp).renderWith(data -> {
            searchPaging(data, form);
        });
    }

                form.crudMode = CrudMode.CREATE;
            });
        });
    }

    @Execute
    @Secured({ ROLE })
    public HtmlResponse edit(final EditForm form) {
        validate(form, messages -> {}, this::asListHtml);
        final String id = form.id;
        duplicateHostService.getDuplicateHost(id).ifPresent(entity -> {
            copyBeanToBean(entity, form, op -> {});

                form.crudMode = CrudMode.CREATE;
            });
        });
    }

    @Execute
    @Secured({ ROLE })
    public HtmlResponse edit(final EditForm form) {
        validate(form, messages -> {}, this::asListHtml);
        final String id = form.id;
        keyMatchService.getKeyMatch(id).ifPresent(entity -> {
            copyBeanToBean(entity, form, op -> {});
        }).orElse(() -> {

	// Requires versioning to be enabled
	ExcludedPrefixes []ExcludedPrefix `xml:",omitempty"`
	ExcludeFolders   bool             `xml:",omitempty"`
}

// Validate - validates the versioning configuration
func (v Versioning) Validate() error {
	// Not supported yet
	// switch v.MFADelete {
	// case Enabled, Disabled:
	// default:
	// 	return Errorf("unsupported MFADelete state %s", v.MFADelete)
	// }

		}
	}
}

// Tests validate metadata extraction from http headers.
func TestExtractMetadataHeaders(t *testing.T) {
	testCases := []struct {
		header     http.Header
		metadata   map[string]string
		shouldFail bool
	}{
		// Validate if there a known 'content-type'.
		{
			header: http.Header{
				"Content-Type": []string{"image/png"},

    * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
* Validate **complex structures**:
    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.