ProjectBuildingRequest setResolveDependencies(boolean resolveDependencies);

    boolean isResolveDependencies();

    /**
     * Controls the level of validation to perform on processed models. By default, models are validated in strict mode.
     *
     * @param validationLevel The level of validation to perform on processed models, e.g.
     *            {@link org.apache.maven.model.building.ModelBuildingRequest#VALIDATION_LEVEL_STRICT}.

* `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)

	// 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.

:.25rem .5rem;margin-top:.1rem;font-size:.875rem;color:#fff;background-color:var(--bs-success);border-radius:var(--bs-border-radius)}.is-valid~.valid-feedback,.is-valid~.valid-tooltip,.was-validated :valid~.valid-feedback,.was-validated :valid~.valid-tooltip{display:block}.form-control.is-valid,.was-validated .form-control:valid{border-color:var(--bs-form-valid-border-color);padding-right:calc(1.5em + .75rem);background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0...

		},
		// 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: "",

			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.

      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
   */

    }

    /**
     * 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<>();

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.

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...