import java.util.NavigableMap;
import java.util.NavigableSet;
import java.util.Set;
import java.util.SortedMap;
import java.util.TreeMap;
import org.jspecify.annotations.Nullable;

/**
 * A wrapper around {@code TreeMap} that aggressively checks to see if keys are mutually comparable.
 * This implementation passes the navigable map test suites.
 *
 * @author Louis Wasserman
 */
@GwtIncompatible

}

func (f *Forwarder) getURLFromRequest(req *http.Request) *url.URL {
	// If the Request was created by Go via a real HTTP request,  RequestURI will
	// contain the original query string. If the Request was created in code, RequestURI
	// will be empty, and we will use the URL object instead
	u := req.URL
	if req.RequestURI != "" {
		parsedURL, err := url.ParseRequestURI(req.RequestURI)
		if err == nil {
			u = parsedURL
		}

            throws ArtifactResolutionException, ArtifactNotFoundException {
        ArtifactResolutionResult result = resolve(request);

        // We have collected all the problems so let's mimic the way the old code worked and just blow up right here.
        // That's right lets just let it rip right here and send a big incomprehensible blob of text at unsuspecting
        // users. Bad dog!

これは偶然ではなく、このデザインに基づいてフレームワークが作られています。

全てのエディターで機能することを確認するために、実装前の設計時に徹底的にテストしました。

これをサポートするためにPydantic自体にもいくつかの変更がありました。

上記のスクリーンショットは<a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>を撮ったものです。

しかし、<a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a>やほとんどのPythonエディタでも同様なエディターサポートを受けられます:

import java.io.InputStreamReader;
import java.nio.charset.Charset;
import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/**
 * Benchmarks for various potential implementations of {@code ByteSource.asCharSource(...).read()}.
 */
// These benchmarks allocate a lot of data so use a large heap
@VmOptions({"-Xms12g", "-Xmx12g", "-d64"})
@NullUnmarked
public class ByteSourceAsCharSourceReadBenchmark {

import com.google.common.collect.testing.features.CollectionSize;
import com.google.common.collect.testing.features.ListFeature;
import java.util.List;
import org.junit.Ignore;

/**
 * A generic JUnit test which tests {@code addAll(int, Collection)} operations on a list. Can't be
 * invoked directly; please see {@link com.google.common.collect.testing.ListTestSuiteBuilder}.
 *
 * @author Chris Povirk
 */
@GwtCompatible

Auch wenn im obigen Code Pydantic nicht explizit vorkommt, verwendet FastAPI Pydantic, um diese Standard-Datenklassen in Pydantics eigene Variante von Datenklassen zu konvertieren.

Und natürlich wird das gleiche unterstützt:

* Datenvalidierung

import com.google.common.annotations.J2ktIncompatible;
import com.google.errorprone.annotations.Immutable;
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.Map.Entry;

/** A {@code RegularImmutableTable} optimized for sparse data. */
@GwtCompatible
@Immutable(containerOf = {"R", "C", "V"})
final class SparseImmutableTable<R, C, V> extends RegularImmutableTable<R, C, V> {

import java.util.concurrent.TimeoutException;
import junit.framework.AssertionFailedError;
import org.jspecify.annotations.NullMarked;
import org.jspecify.annotations.Nullable;

/** Replacements for JUnit's {@code assertThrows} that work under GWT/J2CL. */
@GwtCompatible
@NullMarked
final class ReflectionFreeAssertThrows {
  interface ThrowingRunnable {
    void run() throws Throwable;
  }

  interface ThrowingSupplier {

import static java.lang.Math.max;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.VisibleForTesting;
import java.math.BigInteger;

/**
 * Utilities for {@code double} primitives.
 *
 * @author Louis Wasserman
 */
@GwtIncompatible
final class DoubleUtils {
  private DoubleUtils() {}

  static double nextDown(double d) {
    return -Math.nextUp(-d);
  }