* with {@code FeatureSpecificTestSuiteBuilder.suppressing()} until <a
   * href="http://bugs.sun.com/bugdatabase/view_bug.do?bug_id=6409434">Sun bug 6409434</a> is fixed.
   * It's unclear whether nulls were to be permitted or forbidden, but presumably the eventual fix
   * will be to permit them, as it seems more likely that code would depend on that behavior than on

import java.lang.reflect.Method;
import junit.framework.TestCase;

/**
 * Tests that all package-private {@code writeReplace} methods are overridden in any existing
 * subclasses. Without such overrides, optimizers might put a {@code writeReplace}-containing class
 * and its subclass in different packages, causing the serialization system to fail to invoke {@code
 * writeReplace} when serializing an instance of the subclass. For an example of this problem, see

                inheritedValueTitleMapping.put(override.getTextContent(), element);
            }
            Node firstChild = element.getFirstChild();
            if (firstChild instanceof Text) {
                firstChild.setTextContent(firstChild.getTextContent().replaceFirst("^\\s+", ""));
            }
            Node lastChild = element.getLastChild();
            if (lastChild instanceof Text) {

So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.

And of course, it supports the same:

* data validation
* data serialization

  /**
   * The number of other exception types in the cache of known-good exceptions and the number of
   * other {@code ClassValue} entries for the exception type to be tested. This lets us evaluate
   * whether our solution scales to use with multiple exception types and to whether it is affected
   * by other {@code ClassValue} users. Some of the benchmarked implementations don't use one or
   * both of these mechanisms, so they will be unaffected.

import subprocess

from playwright.sync_api import Playwright, sync_playwright


# Run playwright codegen to generate the code below, copy paste the sections in run()
def run(playwright: Playwright) -> None:
    browser = playwright.chromium.launch(headless=False)
    # Update the viewport manually
    context = browser.new_context(viewport={"width": 960, "height": 1080})
    page = context.new_page()
    page.goto("http://localhost:8000/docs")

 */

package com.google.common.base;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import java.time.Duration;

/** This class is for {@code com.google.common.base} use only! */
@J2ktIncompatible
@GwtIncompatible // java.time.Duration
@ElementTypesAreNonnullByDefault
final class Internal {

  /**

	// Small - objects smaller than 128MiB
	Small RMetricName = "Small"
	// Total - metric pertaining to totals
	Total RMetricName = "Total"
)

// ReplQNodeStats holds queue stats for replication per node
type ReplQNodeStats struct {
	NodeName      string                               `json:"nodeName"`
	Uptime        int64                                `json:"uptime"`

 * finalizeReferent()} on the remaining references.
 *
 * <p>As an example of how this is used, imagine you have a class {@code MyServer} that creates a
 * {@link java.net.ServerSocket ServerSocket}, and you would like to ensure that the {@code
 * ServerSocket} is closed even if the {@code MyServer} object is garbage-collected without calling

 */

package com.google.common.collect;

import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import java.util.List;

/**
 * Benchmark for various ways to create an {@code ImmutableList}.
 *
 * @author Louis Wasserman
 */
public class ImmutableListCreationBenchmark {

  @Param({"10", "1000", "1000000"})
  int size;

  private static final Object OBJECT = new Object();