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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 iter_get( self, name=None, group=None, index=None, raster=None, samples_only=False, raw=False, ):
 """ iterator over a channel This is usefull in case of large files with a small number of channels. If the *raster* keyword argument is not *None* the output is interpolated accordingly Parameters name : string name of channel group : int 0-based group index index : int 0-based channel index raster : float time raster in seconds samples_only : bool if *True* return only the channel samples as numpy array; if *False* return a *Signal* object raw : bool return channel samples without appling the conversion rule; default `False` """

        gp_nr, ch_nr = self._validate_channel_selection(name, group, index)

        grp = self.groups[gp_nr]

        data = self._load_data(grp)

        for fragment in data:
            yield self.get(
                group=gp_nr,
                index=ch_nr,
                raster=raster,
                samples_only=samples_only,
                data=fragment,
                raw=raw,
            )