* uses 10 MiB).
     */
    const val DEFAULT_INITIAL_WINDOW_SIZE = 65535

    /** HTTP/2: Size in bytes of the table used to decode the sender's header blocks. */
    const val HEADER_TABLE_SIZE = 1

    /** HTTP/2: The peer must not send a PUSH_PROMISE frame when this is 0. */
    const val ENABLE_PUSH = 2

    /** Sender's maximum number of concurrent streams. */
    const val MAX_CONCURRENT_STREAMS = 4

namespace tensorflow {
namespace {

TFE_MonitoringCounter0* CreateCounter0(const char* counter_name);
TFE_MonitoringCounter1* CreateCounter1(const char* counter_name,
                                       const char* label);
void IncrementCounter0(TFE_MonitoringCounter0* counter, int64_t delta = 1);
void IncrementCounter1(TFE_MonitoringCounter1* counter, const char* label,
                       int64_t delta = 1);

  }

  companion object {
    private const val CONNECTION = "connection"
    private const val HOST = "host"
    private const val KEEP_ALIVE = "keep-alive"
    private const val PROXY_CONNECTION = "proxy-connection"
    private const val TRANSFER_ENCODING = "transfer-encoding"
    private const val TE = "te"
    private const val ENCODING = "encoding"
    private const val UPGRADE = "upgrade"

      }
    }
  }

  companion object {
    const val HOSTNAME_THAT_ONLY_THE_PROXY_KNOWS = "onlyProxyCanResolveMe.org"
    private const val VERSION_5 = 5
    private const val METHOD_NONE = 0xff
    private const val METHOD_NO_AUTHENTICATION_REQUIRED = 0
    private const val ADDRESS_TYPE_IPV4 = 1
    private const val ADDRESS_TYPE_DOMAIN_NAME = 3
    private const val COMMAND_CONNECT = 1
    private const val REPLY_SUCCEEDED = 0

     */
    async progress(line) {
        const progressLength = line.getAttribute(`${this.pfx}-progressLength`)
            || this.progressLength;
        const progressChar = line.getAttribute(`${this.pfx}-progressChar`)
            || this.progressChar;
        const chars = progressChar.repeat(progressLength);
		const progressPercent = line.getAttribute(`${this.pfx}-progressPercent`)

  std::set<string> factories_sorted;
  for (const auto& factory : GetFactories())
    factories_sorted.insert(factory.first);
  const char* comma = "";
  for (const string& factory : factories_sorted) {
    msg += comma + factory;
    comma = ", ";
  }
  msg += ")";

  return errors::InvalidArgument(msg.c_str());
}

static TracingContext* CreateTracingExecutionContext(const char* fn_name,

    // Special header names defined in HTTP/2 spec.
    @JvmField val PSEUDO_PREFIX: ByteString = ":".encodeUtf8()

    const val RESPONSE_STATUS_UTF8 = ":status"
    const val TARGET_METHOD_UTF8 = ":method"
    const val TARGET_PATH_UTF8 = ":path"
    const val TARGET_SCHEME_UTF8 = ":scheme"
    const val TARGET_AUTHORITY_UTF8 = ":authority"

    @JvmField val RESPONSE_STATUS: ByteString = RESPONSE_STATUS_UTF8.encodeUtf8()

        << "Mismatch in expected values at (zero-based) index " << i;
  }
}

void CheckRemoteMatMulExecutesOK(TFE_Context* ctx,
                                 const char* remote_device_name,
                                 const char* local_device_name) {
  TF_Status* status = TF_NewStatus();
  TFE_TensorHandle* h0_task0 = TestMatrixTensorHandle(ctx);

  TFE_Op* matmul = MatMulOp(ctx, h0_task0, h0_task0);

pkg crypto, const MD4 = 1
pkg crypto, const MD5 = 2
pkg crypto, const MD5SHA1 = 8
pkg crypto, const RIPEMD160 = 9
pkg crypto, const SHA1 = 3
pkg crypto, const SHA224 = 4
pkg crypto, const SHA256 = 5
pkg crypto, const SHA384 = 6
pkg crypto, const SHA512 = 7
pkg crypto/aes, const BlockSize = 16
pkg crypto/des, const BlockSize = 8
pkg crypto/dsa, const L1024N160 = 0
pkg crypto/dsa, const L2048N224 = 1
pkg crypto/dsa, const L2048N256 = 2

  }

  // Checks the expected result of shape inference for the given `op`.
  void CheckOutputShapes(
      TFE_Op* op,
      const std::vector<absl::optional<std::vector<int64_t>>>& input_shapes_vec,
      const std::vector<TF_Tensor*>& input_tensors,
      const absl::optional<std::vector<int64_t>>& expected_shape) {
    // Create input_shapes.
    TF_ShapeAndTypeList* input_shapes =