#include <memory>
#include <string>

#include "tensorflow/c/tf_status_helper.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/util/tensor_bundle/tensor_bundle.h"
#include "tensorflow/core/util/tensor_slice_reader.h"

namespace tensorflow {
namespace checkpoint {

#include <memory>

#include "tensorflow/core/framework/full_type.pb.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/refcount.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {

// Abstract interface to a Tensor handle in either tracing or immediate
// execution mode.
class AbstractTensorHandle : public core::RefCounted {

plugins {
  id("okhttp.base-conventions")
  id("okhttp.publish-conventions")
  id("java-platform")
}

dependencies {
  constraints {
    project.rootProject.subprojects.forEach { subproject ->
      if (subproject.name != "okhttp-bom") {
        api(subproject)
      }
    }
    api("com.squareup.okhttp3:okhttp-jvm:${project.version}")
    api("com.squareup.okhttp3:okhttp-android:${project.version}")
  }
}

publishing {

import okhttp3.Protocol
import org.conscrypt.Conscrypt
import org.conscrypt.ConscryptHostnameVerifier

/**
 * Platform using Conscrypt (conscrypt.org) if installed as the first Security Provider.
 *
 * Requires org.conscrypt:conscrypt-openjdk-uber >= 2.1.0 on the classpath.
 */
class ConscryptPlatform private constructor() : Platform() {
  private val provider: Provider = Conscrypt.newProvider()

#include "tensorflow/core/framework/numeric_types.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/platform.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/platform/tstring.h"
#include "tensorflow/core/protobuf/config.pb.h"
#include "tensorflow/core/util/device_name_utils.h"

namespace tensorflow {
class EagerExecutor;

}

group = "gradlebuild"

description = "Provides plugins used to create a Gradle plugin with Groovy or Kotlin DSL within build-logic builds"

dependencies {
    compileOnly(buildLibs.develocityPlugin)

    api(platform(projects.buildPlatform))

    implementation(projects.basics)
    implementation(projects.moduleIdentity)

    implementation(buildLibs.errorPronePlugin)
    implementation(buildLibs.nullawayPlugin)

 * limitations under the License.
 */
package okhttp3.testing

import okhttp3.internal.platform.Platform
import org.junit.jupiter.api.Test
import org.junit.jupiter.api.extension.RegisterExtension

/**
 * Validates which environment is used by the IDE.
 */
class PlatformRuleTest {
  @RegisterExtension @JvmField
  val platform = PlatformRule()

  @Test
  fun testMode() {

 * limitations under the License.
 */
package okhttp3.internal.platform

import java.security.KeyStore
import java.security.Provider
import javax.net.ssl.SSLContext
import javax.net.ssl.SSLSocket
import javax.net.ssl.SSLSocketFactory
import javax.net.ssl.TrustManagerFactory
import javax.net.ssl.X509TrustManager
import okhttp3.Protocol

/**
 * Platform using OpenJSSE (https://github.com/openjsse/openjsse) if installed as the first

#      Ex. py312 -- Python 3.12
# 2. Choose the platform, which corresponds to the version of TensorFlow to
#    build. This should also match the system you're using--you cannot build
#    the TF MacOS package from Linux.
#      Ex. linux_x86        -- x86_64 Linux platform
#      Ex. linux_x86_cuda   -- x86_64 Linux platform, with Nvidia CUDA support
#      Ex. macos_arm64      -- arm64 MacOS platform

    DebElasticsearchDistributionType() {}

    @Override
    public String getName() {
        return "deb";
    }

    @Override
    public String getClassifier(ElasticsearchDistribution.Platform platform, Version version) {
        return ":amd64";
    }