def __init__(self, base, nonpos):
     Transform.__init__(self)
     self.base = base
     if nonpos == 'mask':
         self._handle_nonpos = _mask_non_positives
     else:
         self._handle_nonpos = _clip_non_positives

 def __init__(self, base, linthresh, linscale):
     Transform.__init__(self)
     self.base = base
     self.linthresh = linthresh
     self.linscale = linscale
     self._linscale_adj = (linscale / (1.0 - self.base ** -1))
     self._log_base = np.log(base)

 def __init__(self, base, linthresh):
     Transform.__init__(self)
     self.base = base
     self.linthresh = abs(linthresh)
     self._log_base = np.log(base)
     self._logb_linthresh = np.log(linthresh) / self._log_base
     self._logb_minlog = np.floor(self._logb_linthresh - 1e-10)
     self._linadjust = np.abs((np.log(linthresh) - self._logb_minlog) /
                              linthresh)

def transform_file(filename, output="out.f90",
                   dim=1, interleave=False, compress=True, row_major=False):
    """Apply tfortran source code transformations.

    :param filename: input file name
    :param dim:      dimension
    :param output:   output file name
    """

    template = None
    with open(filename, 'r') as f:
        template = f.read()

    transform = Transform()
    transform.dim = dim
    transform.compress = compress
    transform.interleave = interleave
    transform.row_major = row_major

    transformed = transform.transform(template)

    with open(output, 'w') as f:
        f.write(transformed)