AssumeRoleWithClientGrants does not require the use of MinIO default credentials. Therefore, client application can be distributed that requests temporary security credentials without including MinIO default credentials. Instead, the identity of the caller is validated by using a JWT access token from the identity provider. The temporary security credentials returned by this API consists of an access key, a secret key, and a security token. Applications can use these temporary security credentials to sign calls...

	if err != nil {
		return nil, false, fmt.Errorf("Error looking up DN %s: %w", dn, err)
	}
	if searchRes == nil {
		return nil, false, nil
	}

	// This will not return an error as the argument is validated to be a DN.
	pdn, _ := ldap.ParseDN(searchRes.NormDN)

	// Check that the DN is under a configured base DN in the LDAP
	// directory.
	for _, baseDN := range baseDNList {
		if baseDN.Parsed.AncestorOf(pdn) {

* `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)

        bean.setSpecialCron("invalid");

        // Validate default group
        Set<ConstraintViolation<GroupTestBean>> violations = validator.validate(bean, Default.class);
        assertEquals(1, violations.size());
        assertTrue(violations.iterator().next().getPropertyPath().toString().contains("defaultCron"));

        // Validate special group
        violations = validator.validate(bean, SpecialGroup.class);

      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
   */

And then in our code, we parse that YAML content directly, and then we are again using the same Pydantic model to validate the YAML content:

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py310.py hl[24:31] *}

/// tip

Here we reuse the same Pydantic model.

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

    }

    /**
     * Test the init method when CIFSException occurs.
     * Verifies that configuration properties are properly validated during initialization.
     */
    @Test
    void testInitWithCIFSException() {
        // Test with valid configuration - should initialize successfully
        Map<String, String> validParams = new HashMap<>();

			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.

* A `skip` query parameter that is an `int`, with a default of `0`.
* A `limit` query parameter that is an `int`, with a default of `100`.

In both cases the data will be converted, validated, documented on the OpenAPI schema, etc.

## Use it { #use-it }

Now you can declare your dependency using this class.

{* ../../docs_src/dependencies/tutorial002_an_py310.py hl[19] *}

            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);