size_t position;
};

void TF_CreateDir(const char* dirname, TF_Status* status) {
  TF_SetStatus(status, TF_OK, "");
  ::tensorflow::Set_TF_Status_from_Status(
      status, ::tensorflow::Env::Default()->CreateDir(dirname));
}

void TF_DeleteDir(const char* dirname, TF_Status* status) {
  TF_SetStatus(status, TF_OK, "");
  ::tensorflow::Set_TF_Status_from_Status(

  if (position < 0)
    TF_SetStatusFromIOError(status, errno, posix_file->filename);
  else
    TF_SetStatus(status, TF_OK, "");

  return position;
}

static void Flush(const TF_WritableFile* file, TF_Status* status) {
  auto posix_file = static_cast<PosixFile*>(file->plugin_file);

  TF_SetStatus(status, TF_OK, "");
  if (fflush(posix_file->handle) != 0)

			if err != nil {
				rpt.SetStatus(bucket, fileName, fmt.Errorf("%s (%s)", errorCodes[ErrMalformedXML].Description, err))
				continue
			}

			configData, err := xml.Marshal(config)
			if err != nil {
				rpt.SetStatus(bucket, fileName, err)
				continue
			}

			bucketMap[bucket].NotificationConfigXML = configData
			rpt.SetStatus(bucket, fileName, nil)
		case bucketPolicyConfig:

  else
    TF_SetStatus(status, TF_OK, "");
}

int64_t Tell(const TF_WritableFile* file, TF_Status* status) {
  auto gcs_file = static_cast<GCSFile*>(file->plugin_file);
  int64_t position = int64_t(gcs_file->outfile.tellp());
  if (position == -1)
    TF_SetStatus(status, TF_INTERNAL,
                 "tellp on the internal temporary file failed");
  else
    TF_SetStatus(status, TF_OK, "");

}  // namespace grappler
}  // namespace tensorflow

void TF_GetNodesToPreserveListSize(const TF_GrapplerItem* item, int* num_values,
                                   size_t* storage_size, TF_Status* status) {
  TF_SetStatus(status, TF_OK, "");
  const std::unordered_set<std::string>& nodes =
      reinterpret_cast<const tensorflow::grappler::GrapplerItem*>(item)
          ->NodesToPreserve();
  *num_values = nodes.size();

        if (block->state == FetchState::FINISHED) {
          return TF_SetStatus(status, TF_OK, "");
        }
        // Re-loop in case of errors.
        break;
      case FetchState::FINISHED:
        return TF_SetStatus(status, TF_OK, "");
    }
  }
  return TF_SetStatus(
      status, TF_INTERNAL,
      "Control flow should never reach the end of RamFileBlockCache::Fetch.");
}

    if (!counter.WaitFor(std::chrono::seconds(10))) {
      // This avoids having the test time out, which is harder to debug.
      TF_SetStatus(status, TF_FAILED_PRECONDITION,
                   "desired concurrency not reached");
      return -1;
    }
    memset(buffer, 'x', n);
    TF_SetStatus(status, TF_OK, "");
    return n;
  };
  const int block_size = 8;
  tf_gcs_filesystem::RamFileBlockCache cache(

    } catch (FileNotFoundException e) {
      return new MockResponse()
          .setStatus("HTTP/1.1 404")
          .addHeader("content-type: text/plain; charset=utf-8")
          .setBody("NOT FOUND: " + path);
    } catch (IOException e) {
      return new MockResponse()
          .setStatus("HTTP/1.1 500")
          .addHeader("content-type: text/plain; charset=utf-8")
          .setBody("SERVER ERROR: " + e);

          parallel_device.num_underlying_devices(),
          " outputs for TPUReplicatedOutput, but got ", expected_outputs));
      TF_SetStatus(status, TF_INVALID_ARGUMENT, message.c_str());
      return result;
    }
    if (absl::holds_alternative<TFE_TensorHandle*>(inputs[0])) {
      TF_SetStatus(status, TF_INVALID_ARGUMENT,
                   "Expected the input to "

  auto handle = dyn_cast<ImmediateExecutionTensorHandle>(unwrap(at));
  if (!handle) {
    string msg =
        StrCat("Not an eager tensor handle.", reinterpret_cast<uintptr_t>(at));
    TF_SetStatus(s, TF_INVALID_ARGUMENT, msg.c_str());
    return nullptr;
  }
  return wrap(handle);
}

TFE_Context* TF_ExecutionContextGetTFEContext(TF_ExecutionContext* ctx,