TF_Status* status) {
  auto* cc_ctx = reinterpret_cast<::tensorflow::OpKernelConstruction*>(ctx);
  tensorflow::NameAttrList function;
  auto cc_status = cc_ctx->GetAttr(attr_name, &function);
  if (!cc_status.ok()) {
    tsl::Set_TF_Status_from_Status(status, cc_status);
    return nullptr;
  }
  TF_Buffer* buffer = TF_NewBuffer();
  cc_status = tensorflow::MessageToBuffer(function, buffer);

    stats.num_allocs = c_stats.num_allocs;
    stats.bytes_in_use = c_stats.bytes_in_use;
    stats.peak_bytes_in_use = c_stats.peak_bytes_in_use;
    stats.largest_alloc_size = c_stats.largest_alloc_size;
    if (c_stats.has_bytes_limit) {
      stats.bytes_limit = c_stats.bytes_limit;
    }
    stats.bytes_reserved = c_stats.bytes_reserved;
    stats.peak_bytes_reserved = c_stats.peak_bytes_reserved;

                         TF_Status* const status) -> void {
    *stream = new SP_Stream_st(1);
  };
  se_.destroy_stream = [](const SP_Device* const device,
                          SP_Stream stream) -> void { delete stream; };
  se_.create_event = [](const SP_Device* const device, SP_Event* event,
                        TF_Status* const status) -> void {
    *event = new SP_Event_st(2);
  };

#include "absl/status/status.h"
#include "absl/strings/string_view.h"
#include "flatbuffers/flatbuffer_builder.h"  // from @flatbuffers
#include "tensorflow/c/kernels.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/compiler/mlir/lite/debug/debug_options.pb.h"
#include "tensorflow/compiler/mlir/lite/metrics/error_collector.h"
#include "tensorflow/compiler/mlir/lite/python/flatbuffer_to_mlir.h"

  ApiConverter::StackHelper<XLA_Shape> tpu_shape;
  StatusHelper status;
  stream_executor::tpu::ExecutorApiFn()->XlaShapeToTpuShapeRepresentationFn(
      &se_shape.value, type, use_fast_memory, &tpu_shape.value,
      status.c_status);
  if (!status.status().ok()) {
    return status.status();
  }
  return tpu_shape.AsCpp<xla::Shape>();
}

// Given a tensor, returns the shape of its representation on device,

			cStatus := &runtimeapi.ContainerStatus{
				Id:        cid.ID,
				Metadata:  meta,
				Image:     imageSpec,
				State:     runtimeapi.ContainerState_CONTAINER_RUNNING,
				CreatedAt: createdAt,
				StartedAt: startedAt,
				User:      test.input,
			}
			actual := toKubeContainerStatus(cStatus, cid.Type)
			assert.EqualValues(t, test.expected, actual.User, desc)

			}

			setCgroupVersionDuringTest(cgroupV1)

			pod.Spec.Containers[0].Resources = v1.ResourceRequirements{Limits: tc.limits, Requests: tc.requests}
			if len(tc.cStatus) > 0 {
				pod.Status.ContainerStatuses = tc.cStatus
			}
			resources := m.generateLinuxContainerResources(pod, &pod.Spec.Containers[0], false)
			tc.expected.HugepageLimits = resources.HugepageLimits
			if !cmp.Equal(resources, tc.expected) {

There are also a few properties of the whole component that can be changed:

- The _component level attributes_, currently the only meaningful attribute there is `org.gradle.status`
- The _status scheme_ to influence interpretation of the `org.gradle.status` attribute during version selection