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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def doUnitConversions(self):
 """ Apply unit conversions to all the chips, ignoring the group parameter. This insures that all the chips get the same conversions when this gets done, even if only 1 chip was specified to be processed. """

         # Image information
        _handle = fileutil.openImage(self._filename, mode='readonly', memmap=False)

        # Now convert the SCI array(s) units
        for det in range(1,self._numchips+1):
            chip=self._image[self.scienceExt,det]
            conversionFactor = 1.0
            # add D2IMFILE to outputNames for removal by 'clean()' method later
            if 'D2IMFILE' in _handle[0].header and _handle[0].header['D2IMFILE'] not in ["","N/A"]:
                chip.outputNames['d2imfile'] = _handle[0].header['D2IMFILE']

            if chip._gain is not None:
                """
                # Multiply the values of the sci extension pixels by the gain.
                print "Converting %s[%d] from COUNTS to ELECTRONS"%(self._filename,det)

                # If the exptime is 0 the science image will be zeroed out.
                np.multiply(_handle[self.scienceExt,det].data,chip._gain,_handle[self.scienceExt,det].data)
                chip.data=_handle[self.scienceExt,det].data

                # Set the BUNIT keyword to 'electrons'
                chip._bunit = 'ELECTRONS'
                chip.header.update('BUNIT','ELECTRONS')
                _handle[self.scienceExt,det].header.update('BUNIT','ELECTRONS')

                # Update the PHOTFLAM value
                photflam = _handle[self.scienceExt,det].header['PHOTFLAM']
                _handle[self.scienceExt,det].header.update('PHOTFLAM',(photflam/chip._gain))
                """
                conversionFactor = chip._gain
                chip._effGain = chip._gain #1.
                chip._conversionFactor = conversionFactor #1.

            else:
                msg = "Invalid gain value for data, no conversion done"
                print(msg)
                raise ValueError(msg)

        # Close the files and clean-up
        _handle.close()
        self._effGain = conversionFactor