errFatal := func(err error) {
		b.Helper()
		if err != nil {
			b.Fatal(err)
		}
	}
	grid, err := SetupTestGrid(n)
	errFatal(err)
	b.Cleanup(grid.Cleanup)
	const messages = 10
	// Create n managers.
	const payloadSize = 512
	rng := rand.New(rand.NewSource(time.Now().UnixNano()))
	payload := make([]byte, payloadSize)
	_, err = rng.Read(payload)
	errFatal(err)

    data = {"a": 2, "b": "foo"}
    response = client.post(path, json=data)
    assert response.status_code == 200, response.text
    assert data == response.json()


@pytest.mark.parametrize(
    "path", ["/a/compute", "/a/compute/", "/b/compute", "/b/compute/"]
)
def test_post_invalid(path):
    data = {"a": "bar", "b": "foo"}
    response = client.post(path, json=data)
    assert response.status_code == 422, response.text

      } else {
        EXPECT_EQ(dltensor_out->strides[i],
                  dltensor_out->shape[i + 1] * dltensor_out->strides[i + 1]);
      }
    }
  }
  const float* data_in = static_cast<const float*>(dltensor_in->data);
  const float* data_out = static_cast<const float*>(dltensor_out->data);
  for (size_t j = 0; j < num_elements; ++j) {
    EXPECT_EQ(data_out[j], data_in[j]);
  }

  TFE_CallDLManagedTensorDeleter(dlm_out);

    }

    /**
     * Extracts the virtual host key from a RelatedContent entity.
     * If the virtual host is blank or null, returns an empty string.
     * This key is used to organize related content by virtual host.
     *
     * @param entity the RelatedContent entity to extract the host key from
     * @return the virtual host key, or empty string if not specified
     */

From that individual connections will be spawned to each remote server,
or incoming requests will be hooked up to the appropriate connection.

To get a connection to a specific server, use `Manager.Connection(host)` to get a connection to the specified host.
From this connection individual requests can be made.

Each handler, with optional subroutes can be registered with the manager using
`Manager.RegisterXHandler(handlerID, handler, subroutes...)`.

        \
        Write-Host 'Verifying pip install...'; \
        & $installDir\python.exe -m pip --version; \
        \
        Write-Host 'Updating pip...'; \
        & $installDir\python.exe -m pip install --upgrade pip; \
        \
        Write-Host 'Installing/updating packages...'; \
        & $installDir\python.exe -m pip install --upgrade setuptools packaging; \
        \
        Write-Host 'Removing installation binary...'; \

    return cast(type, put(type, value));
  }

  @Override
  public <T extends @NonNull B> @Nullable T getInstance(Class<T> type) {
    return cast(type, get(type));
  }

  @CanIgnoreReturnValue
  private static <T> @Nullable T cast(Class<T> type, @Nullable Object value) {
    return Primitives.wrap(type).cast(value);
  }

    private Object writeReplace() {

#include "tensorflow/core/common_runtime/eager/tensor_handle.h"
#include "tensorflow/core/platform/status.h"

using tensorflow::string;

namespace {

std::vector<int64_t> TensorShapeAsVector(const tensorflow::TensorHandle& handle,
                                         absl::Status* status) {
  std::vector<int64_t> shape;
  int rank = -1;
  *status = handle.NumDims(&rank);
  if (!status->ok()) {
    return shape;

  AbstractFunctionKind getKind() const { return kind_; }

  // Returns the AbstractFunction as a FunctionDef.
  virtual absl::Status GetFunctionDef(const FunctionDef**) = 0;

  // Returns a shared reference to the wrapped function.
  virtual absl::StatusOr<core::RefCountPtr<FunctionRecord>>
  GetFunctionRecord() = 0;

 private:
  const AbstractFunctionKind kind_;
};

using AbstractFunctionPtr =

	}))

	// local to remote
	remoteConn := local.Connection(remoteHost)
	remoteConn.WaitForConnect(t.Context())
	defer testlogger.T.SetErrorTB(t)()

	t.Run("localToRemote", func(t *testing.T) {
		const testPayload = "Hello Grid World!"

		start := time.Now()
		resp, err := remoteConn.Request(t.Context(), handlerTest, []byte(testPayload))
		errFatal(err)
		if string(resp) != testPayload {