**`Documentation`** |
------------------- |
[![Documentation](https://img.shields.io/badge/api-reference-blue.svg)](https://www.tensorflow.org/api_docs/) |

[TensorFlow](https://www.tensorflow.org/) is an end-to-end open source platform
for machine learning. It has a comprehensive, flexible ecosystem of
[tools](https://www.tensorflow.org/resources/tools),
[libraries](https://www.tensorflow.org/resources/libraries-extensions), and

filesystem path), a maliciously created checkpoint might be able to change the
targets of those operations, which could result in arbitrary
read/write/executions.

### Running a TensorFlow server

TensorFlow is a platform for distributed computing, and as such there is a
TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for
internal communication only. It is not built for use in untrusted environments
or networks.

      override val nonDefaultValue: SSLSocketFactory =
        object :
          DelegatingSSLSocketFactory(Platform.get().newSslSocketFactory(Platform.get().platformTrustManager())) {}

      override val badValue: SSLSocketFactory =
        object : DelegatingSSLSocketFactory(Platform.get().newSslSocketFactory(Platform.get().platformTrustManager())) {
          override fun configureSocket(sslSocket: SSLSocket): SSLSocket = TODO()
        }

#include "tensorflow/core/lib/hash/hash.h"
#include "tensorflow/core/lib/strings/proto_serialization.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/platform/str_util.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

// Specification for expected input/output and its type.

#include "tensorflow/c/tf_status_helper.h"
#include "tensorflow/c/tf_tensor.h"
#include "tensorflow/core/framework/full_type.pb.h"
#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/platform/test.h"

using tensorflow::Status;
using tensorflow::string;
using tensorflow::TF_StatusPtr;

namespace tensorflow {
namespace {

    /**
     * Returns a new response body that transmits this string. If [contentType] is non-null and
     * has a charset other than utf-8 the behaviour differs by platform.
     *
     * On the JVM the encoding will be used instead of utf-8.
     *
     * On non JVM platforms, this method will fail for encodings other than utf-8.
     */
    @JvmStatic
    @JvmName("create")

) {
  @RegisterExtension
  val platform = PlatformRule()

  @RegisterExtension
  val clientTestRule = OkHttpClientTestRule()

  @StartStop
  private val server = MockWebServer()

  private val eventRecorder = EventRecorder()
  private val handshakeCertificates = platform.localhostHandshakeCertificates()
  private var client =
    clientTestRule

            }
        } catch (Exception e) {
            // Ignore parsing errors
        }
        return null;
    }

    private boolean checkRSSCapability() {
        // Platform-specific RSS detection - simplified implementation
        try {
            NetworkInterface ni = NetworkInterface.getByInetAddress(address);
            return ni != null && ni.supportsMulticast();

    /**
     * Unless standard java props, use UTF-8
     */
    static final String DEFAULT_ENCODING = StandardCharsets.UTF_8.name();

    /** Constant for the platform specific line separator.*/
    private static final String LINE_SEPARATOR = System.lineSeparator();

    /** Constant for the radix of hex numbers.*/
    private static final int HEX_RADIX = 16;

    /**
     * Unless standard java props, use UTF-8
     */
    static final Charset DEFAULT_ENCODING = StandardCharsets.UTF_8;

    /** Constant for the platform specific line separator.*/
    private static final String LINE_SEPARATOR = System.lineSeparator();

    /** Constant for the radix of hex numbers.*/
    private static final int HEX_RADIX = 16;