return result;
      }
      components.emplace_back(TFE_TensorHandleCopySharingTensor(
          absl::get<TFE_TensorHandle*>(inputs[i]), status));
    }
    std::vector<MaybeParallelTensorOwned> result_content;
    result_content.reserve(1);
    result_content.push_back(ParallelTensor::FromTensorHandles(
        parallel_device, std::move(components), status));

### Environment variables

#### MINIO_ETCD_ENDPOINTS

This is comma separated list of etcd servers that you want to use as the MinIO federation back-end. This should
be same across the federated deployment, i.e. all the MinIO instances within a federated deployment should use same
etcd back-end.

#### MINIO_DOMAIN

This is the top level domain name used for the federated setup. This domain name should ideally resolve to a load-balancer

      this.streamId = streamId
      this.errorCode = errorCode
    }

    override fun ping(
      ack: Boolean,
      payload1: Int,
      payload2: Int,
    ) {
      check(type == -1)
      type = Http2.TYPE_PING
      this.ack = ack
      this.payload1 = payload1
      this.payload2 = payload2
    }

    override fun goAway(
      lastGoodStreamId: Int,

// used rather than just deleting the webhook since we want to keep it around after changing the default so user can later
// switch back to it. This is a hack but it is meant to cover a corner case where a user wants to migrate from a non-revisioned
// old version and then later decides to switch back to the old revision again.
func DeactivateIstioInjectionWebhook(ctx context.Context, client kubernetes.Interface) error {

    // -----------------------------------------------------------------------------------------------

    // TODO These two tests display a lack of symmetry with respect to the input which is a free form string and the
    //      mojo descriptor which comes back. All the free form parsing needs to be done somewhere else, this is
    //      really the function of the CLI, and then the pre-processing of that output still needs to be fed into

    components.reserve(underlying_devices_.size());
    for (int j = 0; j < underlying_devices_.size(); ++j) {
      components.push_back(std::move(per_device_output_tensors[j][i]));
    }
    if (expected_output_shapes[i].IsFullyDefined()) {
      per_device_outputs.push_back(ParallelTensor::FromTensorHandles(
          *this, std::move(components),
          absl::Span<const int64_t>(expected_output_shapes[i].dim_sizes()),

        TFE_DeleteTensorHandle(outputs[i]);
      }
    }
    return status.status;
  }

  tensorflow::Status Pack(absl::Span<ImmediateExecutionTensorHandle*> handles,
                          ImmediateExecutionTensorHandle** result) override {
    TF_Status status;
    *result = tensorflow::unwrap(device_.pack(context_,
                                              tensorflow::wrap(handles.data()),

    settings1[Settings.MAX_CONCURRENT_STREAMS] = maxConcurrentStreams
    peer.sendFrame().settings(settings1)
    peer.acceptFrame() // ACK
    peer.sendFrame().ping(false, 2, 0)
    peer.acceptFrame() // PING
    peer.play()

    // Play it back.
    val connection =
      Http2Connection.Builder(true, TaskRunner.INSTANCE)
        .socket(peer.openSocket())

first connect fails. This is necessary for IPv4+IPv6 and services hosted in redundant data
centers. OkHttp supports modern TLS features (TLS 1.3, ALPN, certificate pinning). It can be
configured to fall back for broad connectivity.

Using OkHttp is easy. Its request/response API is designed with fluent builders and immutability. It
supports both synchronous blocking calls and async calls with callbacks.


Get a URL

		h := xxh3.Hash(dst)
		dst = binary.LittleEndian.AppendUint32(dst, uint32(h))
	}
	return m.parent.send(m.ctx, dst)
}

// RequestStateless will send a single payload request and stream back results.
// req may not be read/written to after calling.
// TODO: Not implemented
func (m *muxClient) RequestStateless(h HandlerID, req []byte, out chan<- Response) {
	if m.init {