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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 Read(self, meta_only=False, allowed=None, cast=False):
 """Read the ESPA XML metadata file"""

        if allowed is not None and not isinstance(allowed, (list, tuple)):
            raise RuntimeError('`allowed` must be a list of str names.')

        meta = xmltodict.parse(
                open(self.filename, 'r').read()
            ).get('espa_metadata')

        # Handle bands seperately
        bands = meta.get('bands').get('band')
        del(meta['bands'])

        if not isinstance(bands, (list)):
            bands = [bands]
        meta = self.CleanDict(meta)

        # Get spatial refernce
        ras = SetProperties(RasterSet, meta)

        if allowed is not None:
            # Remove non-allowed arrays from bdict
            for k in list(self.bdict.keys()):
                if k not in allowed:
                    del(self.bdict[k])

        for i in range(len(bands)):
            info = self.GenerateBand(bands[i], meta_only=True, cast=cast)
            if allowed is not None and info.name not in allowed:
                continue
            if info.name not in self.bdict.keys() or self.bdict[info.name].data is None:
                b = self.GenerateBand(bands[i], meta_only=meta_only, cast=cast)
                self.bdict[b.name] = b
            elif cast and self.bdict[info.name].data.dtype != np.float32:
                b = self.GenerateBand(bands[i], meta_only=meta_only, cast=cast)
                self.bdict[b.name] = b
            elif not cast and self.bdict[info.name].data.dtype == np.float32:
                b = self.GenerateBand(bands[i], meta_only=meta_only, cast=cast)
                self.bdict[b.name] = b
        ras.bands = self.bdict

        if not meta_only:
            ras.validate()

        return ras