def to_array(
        self,
        file: _BinaryIO,
    ) -> _np.array:
        """
        Convert the TensorDescriptor back to a numpy array, reading data from a binary file.

        This method reconstructs a numpy array from the TensorDescriptor, reading the necessary
        data from the provided binary file.

        Parameters
        ----------
        file: BinaryIO
            A binary file object from which to read the array data.
            This file should be openable in binary read mode ('rb').

        Returns
        -------
        np.array
            A numpy array reconstructed from the TensorDescriptor and file data.
        """

        data_type = _TensorDescriptor._to_numpy_dtype(self.data_type)
        file.seek(self.storage.offset)
        data = file.read(self.storage.size)
        result = _np.frombuffer(data, data_type)
        strides = [x * result.itemsize for x in self.strides]
        strided_view = _np.lib.stride_tricks.as_strided(result, self.shape, strides)
        result = _np.array(strided_view)
        return result

        Convert the TensorDescriptor back to a numpy array, reading data from a binary file.

        This method reconstructs a numpy array from the TensorDescriptor, reading the necessary
        data from the provided binary file.

        Parameters
        ----------
        file: BinaryIO
            A binary file object from which to read the array data.
            This file should be openable in binary read mode ('rb').

        Returns
        -------
        np.array
            A numpy array reconstructed from the TensorDescriptor and file data.
        
coremltools/models/ml_program/experimental/remote_device.py