* `skip`, типа `int` и со значением по умолчанию `0`.
* `limit`, необязательный `int`.

/// tip | Подсказка

Вы можете использовать класс `Enum` также, как ранее применяли его с [Path-параметрами](path-params.md#predefined-values){.internal-link target=_blank}.

        assertFalse(Features.deployBuildPom(properties));
    }

    @Test
    void testDeployBuildPomWithInvalidStringValue() {
        // Test that invalid string values default to false (Boolean.parseBoolean behavior)
        Map<String, Object> properties = Map.of(Constants.MAVEN_DEPLOY_BUILD_POM, "invalid");
        assertFalse(Features.deployBuildPom(properties));
    }

    @Test

 * only one of them (allRequired = false). It also supports a default rule that always matches.
 *
 * <p>
 * The class uses a map of field names to Pattern objects to store the regular expressions.
 * The match method extracts the values of the specified fields from the ResponseData and
 * applies the corresponding regular expressions.
 * </p>
 *
 * <p>
 * Example usage:
 * </p>
 *
 * <pre>
 * {@code
 * RegexRule rule = new RegexRule();

            if (len > maxLen) {
                throw new RuntimeCIFSException("zero termination not found");
            }
        }
        return len;
    }

    /**
     * Masks sensitive values in a string for security purposes.
     *
     * @param value the string potentially containing sensitive information
     * @return the string with sensitive parts masked, or the original string if masking is disabled

        } catch (final UnknownHostException ex) {}
        DEFAULT_WORKSTATION = defaultWorkstation;
    }

    /**
     * Creates a Type-1 message using default values from the current
     * environment.
     */
    public Type1Message() {
        this(getDefaultFlags(), getDefaultDomain(), getDefaultWorkstation());
    }

    /**

                        plugins.put(key, pluginMetadata);
                    }
                }
            }
        }
        return plugins.values();
    }

    private PluginInfo extractPluginInfo(Artifact artifact) {
        // sanity: jar, no classifier and file exists
        if (artifact != null
                && "jar".equals(artifact.getExtension())

				t.Errorf("Test %d: %s: Expected to fail with error \"%s\", but instead failed with error \"%s\" instead", i+1, instanceType, testCase.err.Error(), err.Error())
			}
		}

		// Test passes as expected, but the output values are verified for correctness here.
		if err == nil && testCase.shouldPass {
			if testCase.result.Bucket != result.Bucket {

		// specified in the Forwarded header. The first element will always be
		// the 'for=', which we ignore, subsequently we proceed to look for
		// 'proto=' which should precede right after `for=` if not
		// we simply ignore the values and return empty. This is in line
		// with the approach we took for returning first ip from multiple
		// params.
		if match := forRegex.FindStringSubmatch(proto); len(match) > 1 {

     *
     * @return channel statistics
     */
    public ChannelStatistics getStatistics() {
        return new ChannelStatistics(sessionChannels.size(),
                sessionChannels.values().stream().mapToInt(ChannelGroup::getChannelCount).sum(), totalRequests.get(),
                totalChannelsCreated.get());
    }

    /**
     * Channel statistics.
     */

Import `BaseSettings` from Pydantic and create a sub-class, very much like with a Pydantic model.

The same way as with Pydantic models, you declare class attributes with type annotations, and possibly default values.

You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.

{* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}