CheckpointReader::CheckpointReader(const string& filename, TF_Status* status)
    : reader_(nullptr),
      v2_reader_(nullptr),
      var_to_shape_map_(nullptr),
      var_to_data_type_map_(nullptr) {
  // Depending on whether this is a V2 ckpt, initializes "reader_" or
  // "v2_reader_".
  std::vector<string> v2_path;
  if (Env::Default()->GetMatchingPaths(MetaFilename(filename), &v2_path).ok() &&
      !v2_path.empty()) {

// other languages.
//
// The class currently only interacts with single-slice (i.e., non-partitioned)
// variables.
class CheckpointReader {
 public:
  CheckpointReader(const string& filename, TF_Status* status);

  bool HasTensor(const string& name) const;
  const string DebugString() const;

  // Returns a map from variable names to their shapes.  Slices of a partitioned

  *undeleted_file_count = f;
  *undeleted_dir_count = d;
}

void TF_FileStat(const char* filename, TF_FileStatistics* stats,
                 TF_Status* status) {
  ::tensorflow::FileStatistics cc_stats;
  TF_SetStatus(status, TF_OK, "");
  ::tensorflow::Status s =
      ::tensorflow::Env::Default()->Stat(filename, &cc_stats);
  ::tensorflow::Set_TF_Status_from_Status(status, s);
  if (s.ok()) {

};

class ModularRandomAccessFile final : public RandomAccessFile {
 public:
  ModularRandomAccessFile(const std::string& filename,
                          std::unique_ptr<TF_RandomAccessFile> file,
                          const TF_RandomAccessFileOps* ops)
      : filename_(filename), file_(std::move(file)), ops_(ops) {}

  ~ModularRandomAccessFile() override { ops_->cleanup(file_.get()); }

# limitations under the License.
# ==============================================================================

# Check and rename wheels with auditwheel. Inserts the platform tags like
# "manylinux_xyz" into the wheel filename.
set -euxo pipefail

for wheel in /tf/pkg/*.whl; do
  echo "Checking and renaming $wheel..."
  time python3 -m auditwheel repair --plat manylinux2014_aarch64 "$wheel" --wheel-dir /tf/pkg 2>&1 | tee check.txt

// updated, otherwise it is not touched.
TF_CAPI_EXPORT extern void TF_FileStat(const char* filename,
                                       TF_FileStatistics* stats,
                                       TF_Status* status);

// Creates or truncates the given filename and returns a handle to be used for
// appending data to the file. If status is TF_OK, *handle is updated and the

class ImportApiPackagesTest(unittest.TestCase):
  """ImportApiPackagesTest class. See description at the top of the file."""

  def setUp(self):
    def _get_api_packages_v2():
      api_packages_path = pkg_resources.resource_filename(
          "tensorflow", "_api/v2/api_packages.txt"
      )

      logging.info("Load api packages file: %s", api_packages_path)
      with open(api_packages_path) as file:
        return set(file.read().splitlines())

# a local build cache:
TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh

# First, set your TFCI variable to choose the environment settings.
#   TFCI is a comma-separated list of filenames from the envs directory, which
#   are all settings for the scripts. TF's CI jobs are all made of a combination
#   of these env files.
#
#   If you've clicked on a test result from our CI (via a dashboard or GitHub link),