EXPECT_EQ(
      6, metrics->point_set_map.at("test/counter")->points.at(0)->int64_value);

  TFE_MonitoringDeleteCounter0(counter);
  metrics = collection_registry->CollectMetrics(options);
  EXPECT_EQ(metrics->point_set_map.end(),
            metrics->point_set_map.find("test/counter"));
}

TEST(CAPI, MonitoringCounterMultiple) {
  TF_Status* status = TF_NewStatus();
  auto* counter1 = TFE_MonitoringNewCounter1("test/counter1", status,

  if (!result->counter->GetStatus().ok()) {
    delete result;
    return nullptr;
  }
  return result;
}

void TFE_MonitoringDeleteCounter1(TFE_MonitoringCounter1* counter) {
  delete counter;
}

TFE_MonitoringCounterCell* TFE_MonitoringGetCellCounter1(
    TFE_MonitoringCounter1* counter, const char* label1) {
  return static_cast<TFE_MonitoringCounterCell*>(

// Deletes the Counter object.
TF_CAPI_EXPORT extern void TFE_MonitoringDeleteCounter0(
    TFE_MonitoringCounter0* counter);
// Retrieves the cell from the Counter object. The Counter object will manage
// lifetime of the cell.
TF_CAPI_EXPORT extern TFE_MonitoringCounterCell* TFE_MonitoringGetCellCounter0(
    TFE_MonitoringCounter0* counter);

// APIs for Counter with 1 label.

  )
except subprocess.CalledProcessError as e:
  print("No failures found to log!")
  exit(0)

# For test cases, only show the ones that failed that have text (a log)
seen = collections.Counter()
runfiles_matcher = re.compile(r"(/.*\.runfiles/)")


for f in files.strip().splitlines():
  # Just ignore any failures, they're probably not important
  try:
    r = JUnitXml.fromfile(f)

        "//tensorflow/c:tf_status_internal",
        "//tensorflow/core:lib",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/platform:blocking_counter",
        "//tensorflow/core/platform/cloud:now_seconds_env",
    ],
)

tf_cc_test(
    name = "gcs_filesystem_test",
    srcs = [
        "gcs_filesystem_test.cc",
    ],
    tags = [

    }
    op_name += type;
    return TF_NewOperation(
        graph_, op_name.c_str(),
        ::tensorflow::strings::StrCat("name", counter_++).c_str());
  }

  TF_Status* s_;

 private:
  TF_Graph* graph_;
  int counter_;
};

// Helper macros for the TF_OperationGetAttr* tests.
// TODO(ashankar): Use gmock matchers instead?

    const tensorflow::ServerDef& cluster_server_def, int task_index) {
  tensorflow::ServerDef single_host_server_def;
  single_host_server_def.set_job_name("worker");
  single_host_server_def.set_protocol(cluster_server_def.protocol());
  single_host_server_def.set_task_index(0);
  tensorflow::ClusterDef* cluster_def =
      single_host_server_def.mutable_cluster();
  tensorflow::JobDef* job_def = cluster_def->add_job();

        "//tensorflow/core/distributed_runtime/rpc:grpc_server_lib",
        "//tensorflow/core/platform",
        "//tensorflow/core/platform:blocking_counter",
        "@com_google_absl//absl/strings",
        "@local_xla//xla/tsl/c:tsl_status_internal",
    ],
    alwayslink = 1,
)

exports_files(
    [
        "version_script.lds",

    flags->tf_xla_cpu_global_jit = true;
    flags->tf_xla_min_cluster_size = 1;
  } else {
    optimizer_options->set_global_jit_level(tensorflow::OptimizerOptions::OFF);
  }

  auto* gpu_options = config.mutable_gpu_options();
  gpu_options->set_allow_growth(gpu_memory_allow_growth);

  (*config.mutable_device_count())["CPU"] = num_cpu_devices;

 public:
  virtual ~ImmediateExecutionDistributedManager() {}

  // Set up distributed execution environment on local and remote tasks.
  // When `reset_context` is true, initialize new cluster context state based
  // on cluster configurations provided in `server_def`; otherwise, update
  // existing context state with the provided `server_def`. Contexts created
  // on remote tasks will be considered stale and garbage collected after