throw new SsoLoginException("unexpected set of artifacts received");
        }
    }

    /**
     * Validates the OAuth2 state parameter.
     * @param session The HTTP session containing stored state data.
     * @param state The state parameter to validate.
     * @return The validated state data.
     */
    protected StateData validateState(final HttpSession session, final String state) {

    }

    /**
     * Creates an encrypted user code from a user ID.
     * The user ID is encrypted using the primary cipher and validated against the configuration.
     *
     * @param userCode the raw user ID to encrypt
     * @return the encrypted and validated user code, or null if invalid
     */
    protected String createUserCodeFromUserId(String userCode) {

    //                                                                           =========
    /**
     * Validates document fields according to index field requirements.
     *
     * @param doc the document to validate
     * @param throwError consumer to handle validation errors
     */

* 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.
    * You can have deeply **nested JSON** objects and have them all validated and annotated.
* **Extensible**:

	if err == nil && !isUnderBaseDN {
		// Not under any configured base DN, so treat as not found.
		return nil, nil
	}
	return validDN, err
}

// GetValidatedUserDN validates the given user DN. Will error out if conn is nil. The returned
// boolean is true iff the user DN is found under one of the LDAP user base DNs.

		entityKeysInStorage.Add(k)
		return true
	})

	return entityKeysInStorage
}

// NormalizeLDAPMappingImport - validates the LDAP policy mappings. Keys in the
// given map may not correspond to LDAP DNs - these keys are ignored.
//
// For validated mappings, it updates the key in the given map to be in
// normalized form.
func (sys *IAMSys) NormalizeLDAPMappingImport(ctx context.Context, isGroup bool,

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_py39.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.

	// 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.

@ExtendWith(MockitoExtension.class)
class CredentialsInternalTest {

    @Mock
    CIFSContext mockContext;

    /**
     * Simple in-test implementation of CredentialsInternal to exercise the API surface.
     * It validates inputs, records calls, and delegates some behavior to collaborators
     * so we can verify interactions.
     */
    static class TestCredentials implements CredentialsInternal {
        private final String domain;

	}

	// 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.