} else {
    reader_.reset(new TensorSliceReader(filename));
    if (!reader_->status().ok()) {
      tsl::Set_TF_Status_from_Status(status, reader_->status());
      return;
    }
    var_to_shape_map_.reset(
        new TensorSliceReader::VarToShapeMap(reader_->GetVariableToShapeMap()));
    var_to_data_type_map_.reset(new TensorSliceReader::VarToDataTypeMap(
        reader_->GetVariableToDataTypeMap()));
  }
}

	if err != nil {
		// Failed to create object, abort.
		t.Fatalf("%s : %s", instanceType, err.Error())
	}

	for _, disk := range disks {
		tmpMetaDir := path.Join(disk, minioMetaTmpBucket)
		files, err := os.ReadDir(tmpMetaDir)
		if err != nil {
			t.Fatal(err)
		}
		var found bool
		for _, fi := range files {
			if fi.Name() == ".trash" {
				continue
			}
			found = true
		}
		if found {

    // The most common case is that from is a Reader (like InputStreamReader or StringReader) so
    // take advantage of that.
    if (from instanceof Reader) {
      // optimize for common output types which are optimized to deal with char[]
      if (to instanceof StringBuilder) {
        return copyReaderToBuilder((Reader) from, (StringBuilder) to);
      } else {
        return copyReaderToWriter((Reader) from, asWriter(to));
      }
    }

			continue
		}
		t.Run(fmt.Sprintf("%d-locks", locks), func(t *testing.T) {
			// Number of readers per lock...
			for _, readers := range []int{1, 10, 100} {
				if locks > 1000 && readers > 1 {
					continue
				}
				if testing.Short() && readers > 10 {
					continue
				}
				t.Run(fmt.Sprintf("%d-read", readers), func(t *testing.T) {
					l := newLocker()
					for range locks {
						var tmp [16]byte

    CharSequenceReader reader = new CharSequenceReader(string);
    assertTrue(reader.markSupported());

    assertEquals(string, readFully(reader));
    assertFullyRead(reader);

    // reset and read again
    reader.reset();
    assertEquals(string, readFully(reader));
    assertFullyRead(reader);

    // reset, skip, mark, then read the rest
    reader.reset();
    assertEquals(5, reader.skip(5));

    @Inject
    private ModelLocator locator;

    @Inject
    private ModelReader reader;

    public DefaultModelProcessor setModelLocator(ModelLocator locator) {
        this.locator = locator;
        return this;
    }

    public DefaultModelProcessor setModelReader(ModelReader reader) {
        this.reader = reader;
        return this;
    }

    @Override

        /**
         * Constructor.
         * @param reader The reader.
         */
        public TextNormalizeContext(final Reader reader) {
            this.reader = reader;
        }

        /**
         * Executes the text processing operation on the provided reader.
         *
         * This method reads characters from the reader and processes them according to the following rules:

  TF_CheckpointReader* reader = new TF_CheckpointReader(filename, status);
  if (!status->status.ok()) {
    TF_DeleteCheckpointReader(reader);
    return nullptr;
  }
  const auto& m = reader->GetVariableToDataTypeMap();
  for (auto it = m.begin(); it != m.end(); ++it)
    reader->variable_list.push_back(it->first);
  std::sort(reader->variable_list.begin(), reader->variable_list.end());
  return reader;
}

		req.Trailer = nil
	}
	return &s3UnsignedChunkedReader{
		trailers: req.Trailer,
		reader:   bufio.NewReader(req.Body),
		buffer:   make([]byte, 64*1024),
	}, ErrNone
}

// Represents the overall state that is required for decoding a
// AWS Signature V4 chunked reader.
type s3UnsignedChunkedReader struct {
	reader   *bufio.Reader
	trailers http.Header

	buffer []byte
	offset int
	err    error
	debug  bool
}

func HardLimitReader(r io.Reader, n int64) io.Reader { return &HardLimitedReader{r, n} }

// A HardLimitedReader reads from R but limits the amount of
// data returned to just N bytes. Each call to Read
// updates N to reflect the new amount remaining.
// Read returns EOF when N <= 0 or when the underlying R returns EOF.
type HardLimitedReader struct {
	R io.Reader // underlying reader
	N int64     // max bytes remaining
}