// this point as necessary configuration is available.
	if !isEnableFlagExplicitlySet && !l.LDAP.Enabled {
		l.LDAP.Enabled = true
	}
	// Validate and test configuration.
	valResult := l.LDAP.Validate()
	if !valResult.IsOk() {
		// Set to false if configuration fails to validate.
		l.LDAP.Enabled = false
		return l, valResult
	}

	return l, nil
}

// GetConfigList - returns a list of LDAP configurations.

```

////

/// info

In Pydantic version 1 the method to parse and validate an object was `Item.parse_obj()`, in Pydantic version 2, the method is called `Item.model_validate()`.

///

/// tip

Here we reuse the same Pydantic model.

But the same way, we could have validated it in some other way.

      DIGIT_MATCHER.or(LETTER_MATCHER).or(DASH_MATCHER);

  /**
   * Helper method for {@link #validateSyntax(List)}. Validates that one part of a domain name is
   * valid.
   *
   * @param part The domain name part to be validated
   * @param isFinalPart Is this the final (rightmost) domain part?
   * @return Whether the part is valid
   */

* `limit`: with a value of `10`

As they are part of the URL, they are "naturally" strings.

But when you declare them with Python types (in the example above, as `int`), they are converted to that type and validated against it.

All the same process that applied for path parameters also applies for query parameters:

* Editor support (obviously)

		},
		// Test case - 3.
		// Max Parts is set a negative value, error response is validated.
		{
			fault:            None,
			partNumberMarker: "",
			maxParts:         "-1",
			expectedErr:      invalidMaxPartsErr,
		},
		// Test case - 4.
		// Invalid UploadID is set and the error response is validated.
		{
			fault:            MissingUploadID,
			partNumberMarker: "",

right 1.75rem/calc(0.75em + 0.375rem) calc(0.75em + 0.375rem);\n}\n\n.was-validated .custom-select:valid:focus, .custom-select.is-valid:focus {\n  border-color: #28a745;\n  box-shadow: 0 0 0 0.2rem rgba(40, 167, 69, 0.25);\n}\n\n.was-validated .form-check-input:valid ~ .form-check-label, .form-check-input.is-valid ~ .form-check-label {\n  color: #28a745;\n}\n\n.was-validated .form-check-input:valid ~ .valid-feedback,\n.was-validated .form-check-input:valid ~ .valid-tooltip, .form-check-input.is-valid...

You can actually use this same technique with an HTTP `PUT` operation.

But the example here uses `PATCH` because it was created for these use cases.

///

/// note

Notice that the input model is still validated.

So, if you want to receive partial updates that can omit all the attributes, you need to have a model with all the attributes marked as optional (with default values or `None`).

			instanceType, bucketName, err)
	}

	// ExecObjectLayerAPIAnonTest - Calls the HTTP API handler using the anonymous request, validates the ErrAccessDeniedResponse,
	// sets the bucket policy using the policy statement generated from `getWriteOnlyObjectStatement` so that the
	// unsigned request goes through and its validated again.

            return !(isLocal(url.getHost()) || url.getProtocol().equals("file"));
        } catch (MalformedURLException e) {
            // bad url just skip it here. It should have been validated already, but the wagon lookup will deal with it
            return false;
        }
    }

    private static boolean isLocal(String host) {
        return "localhost".equals(host) || "127.0.0.1".equals(host);

1.75rem/calc(0.75em + 0.375rem) calc(0.75em + 0.375rem) no-repeat;\n}\n\n.was-validated .custom-select:valid:focus, .custom-select.is-valid:focus {\n  border-color: #28a745;\n  box-shadow: 0 0 0 0.2rem rgba(40, 167, 69, 0.25);\n}\n\n.was-validated .form-check-input:valid ~ .form-check-label, .form-check-input.is-valid ~ .form-check-label {\n  color: #28a745;\n}\n\n.was-validated .form-check-input:valid ~ .valid-feedback,\n.was-validated .form-check-input:valid ~ .valid-tooltip, .form-check-input.is-valid...