TF_NewTensor(
            datatype_enum, /*dims=*/nullptr, /*num_dims=*/0,
            device_value.release(), sizeof(DataType),
            [](void* data, size_t, void* arg) {
              delete reinterpret_cast<DataType*>(data);
            },
            nullptr),
        TF_DeleteTensor);
    // TODO(allenl): Here and when executing regular operations, we could hold

  GeneralAssignment("AssignVariableOp", context, value, status);
}

// Passed to `TF_NewTensor` to indicate how an array of floats should be
// deleted.
static void FloatDeallocator(void* data, size_t, void* arg) {
  delete[] static_cast<float*>(data);
}

// Creates a TFE_TensorHandle with value `v`.
TensorHandlePtr FloatTensorHandle(float v, TF_Status* status) {
  const int num_bytes = sizeof(float);

// `tensor_id`, associated with `session`. There must be a graph node named
// "fifo_queue_enqueue_<tensor_id>", to be executed by this API call. It reads
// from a placeholder node "arg_tensor_enqueue_<tensor_id>".
//
// `tensor` is still owned by the caller. This call will be blocked if the queue
// has reached its capacity, and will be unblocked when the queued tensors again

        - does not have DISABLE_ENVOY environment variable (which triggers proxyless mode)
        - has a istio-proxy container, with first 2 args "proxy" and "sidecar" - or less then 2 args, or first arg not proxy.
        - "sidecar.istio.io/inject" is not false
        - "sidecar.istio.io/status" exists

### Redirect API

docker-hotfix: hotfix-push checks ## builds minio docker container with hotfix tags
	@echo "Building minio docker image '$(TAG)'"
	@docker build -q --no-cache -t $(TAG) --build-arg RELEASE=$(VERSION) . -f Dockerfile.hotfix

docker: build ## builds minio docker container
	@echo "Building minio docker image '$(TAG)'"
	@docker build -q --no-cache -t $(TAG) . -f Dockerfile

org.hamcrest.core; public synchronized class DescribedAs extends org.hamcrest.BaseMatcher { private final String descriptionTemplate; private final org.hamcrest.Matcher matcher; private final Object[] values; private static final java.util.regex.Pattern ARG_PATTERN; public void DescribedAs(String, org.hamcrest.Matcher, Object[]); public boolean matches(Object); public void describeTo(org.hamcrest.Description); public void describeMismatch(Object, org.hamcrest.Description); public static transient org.hamcrest.Matcher...

			// Otherwise ignored.
			continue
		}
		return tok
	}
}

// line consumes a single assembly line from p.lex of the form
//
//	{label:} WORD[.cond] [ arg {, arg} ] (';' | '\n')
//
// It adds any labels to p.pendingLabels and returns the word, cond,
// operand list, and true. If there is an error or EOF, it returns
// ok=false.
//
// line may reuse the memory from scratch.

				return nil
			}

			readers, err := gatherFiles(cmd, args)
			if err != nil {
				return err
			}
			cancel := make(chan struct{})

			// We use the "namespace" arg that's provided as part of root istioctl as a flag for specifying what namespace to use
			// for file resources that don't have one specified.
			selectedNamespace = ctx.Namespace()
			if useKube {

  // Build two abstract input tensors as function arguments.
  std::vector<TF_AbstractTensor*> func_args;
  {
    TFE_Context* eager_ctx =
        TF_ExecutionContextGetTFEContext(eager_execution_ctx, s);

    // 1st Arg
    float vals1[] = {0.0f, 1.0f, 1.0f, 0.0f};
    int64_t dims[] = {2, 2};  // Matrices will be 2 x 2
    int num_dims = sizeof(dims) / sizeof(dims[0]);

    TFE_TensorHandle* input_eager =

		},
		{
			name: "valid resources from file",
			args: []string{"--filename", validFilenameYAML},
		},
		{
			name:      "extra args",
			args:      []string{"--filename", validFilenameYAML, "extra-arg"},
			wantError: true,
		},
		{
			name:      "invalid resources from file",
			args:      []string{"--filename", invalidFilenameYAML},
			wantError: true,
		},
		{
			name:      "invalid filename",