<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def _scale_to_dtype(self, data, dtype):
 """Scale provided data to dtype range assuming a 0-1 range. Float input data is assumed to be normalized to a 0 to 1 range. Integer input data is not scaled, only clipped. A float output type is not scaled since both outputs and inputs are assumed to be in the 0-1 range already. """

        if np.issubdtype(dtype, np.integer):
            if np.issubdtype(data, np.integer):
                # preserve integer data type
                data = data.clip(np.iinfo(dtype).min, np.iinfo(dtype).max)
            else:
                # scale float data (assumed to be 0 to 1) to full integer space
                dinfo = np.iinfo(dtype)
                data = data.clip(0, 1) * (dinfo.max - dinfo.min) + dinfo.min
            data = data.round()
        return data