import okhttp3.internal.SuppressSignatureCheck
import okhttp3.internal.platform.android.AndroidCertificateChainCleaner
import okhttp3.internal.platform.android.AndroidSocketAdapter
import okhttp3.internal.platform.android.BouncyCastleSocketAdapter
import okhttp3.internal.platform.android.ConscryptSocketAdapter
import okhttp3.internal.platform.android.DeferredSocketAdapter
import okhttp3.internal.platform.android.StandardAndroidSocketAdapter

import okhttp3.internal.SuppressSignatureCheck
import okhttp3.internal.platform.AndroidPlatform.Companion.Tag
import okhttp3.internal.platform.android.Android10SocketAdapter
import okhttp3.internal.platform.android.AndroidCertificateChainCleaner
import okhttp3.internal.platform.android.AndroidSocketAdapter
import okhttp3.internal.platform.android.BouncyCastleSocketAdapter
import okhttp3.internal.platform.android.ConscryptSocketAdapter

For now we just have this global repository of ADRs.
If we see fit, we can break these out to per-platform ones, or keep a hybrid approach to having global and platform-specific ADSs.

Our aim is to keep the process lightweight and approachable.

import org.junit.jupiter.params.provider.ArgumentsSource

/** Runs the web platform URL tests against Java URL models.  */
class WebPlatformUrlTest {
  class TestDataParamProvider : SimpleProvider() {
    override fun arguments() = ArrayList<Any>(loadTests())
  }

  /** Test how [HttpUrl] does against the web platform test suite.  */
  @ArgumentsSource(TestDataParamProvider::class)
  @ParameterizedTest

#include <vector>

#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/tf_datatype.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/tstring.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

// Return a tensor handle containing a float scalar

#include "tensorflow/core/framework/device_attributes.pb.h"
#include "tensorflow/core/framework/op_def.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/util/managed_stack_trace.h"

struct TFE_Op;

namespace tensorflow {

class ImmediateExecutionContext;
class AbstractOpAttrs;

    }

    // ////////////////////////////////////////////////////////////////
    // from InputStream to Writer
    //
    /**
     * Copies from an input stream to a writer using the platform default encoding.
     * <p>
     * Neither the input stream nor the writer is closed.
     * </p>
     *
     * @param in the input stream (must not be {@literal null})

    id("gradlebuild.ci-reporting")
    id("gradlebuild.test-retry")
    id("gradlebuild.private-javadoc")
}

val testLibs = project.versionCatalogs.named("testLibs")

dependencies {
    api(platform("gradlebuild:build-platform"))
    implementation("gradlebuild:gradle-plugin")

    testImplementation(testLibs.findLibrary("junit5Vintage").get())

    testRuntimeOnly(testLibs.findLibrary("junitPlatform").get())
}

## Architecture overview

### Platform architecture

Gradle is arranged into several coarse-grained components called "platforms".
Each platform provides support for some kind of automation, such as building JVM software or building Gradle plugins.

  private val serverProviderClass: Class<*>,
) : Platform() {
  override fun configureTlsExtensions(
    sslSocket: SSLSocket,
    hostname: String?,
    protocols: List<Protocol>,
  ) {
    val names = alpnProtocolNames(protocols)

    try {
      val alpnProvider =
        Proxy.newProxyInstance(
          Platform::class.java.classLoader,
          arrayOf(clientProviderClass, serverProviderClass),