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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 _set_params_callback(self, **params):
 """Special handling for setting params on callbacks."""

        # model after sklearn.utils._BaseCompostion._set_params
        # 1. All steps
        if 'callbacks' in params:
            setattr(self, 'callbacks', params.pop('callbacks'))

        # 2. Step replacement
        names, _ = zip(*getattr(self, 'callbacks_'))
        for key in params.copy():
            name = key[11:]  # drop 'callbacks__'
            if '__' not in name and name in names:
                self._replace_callback(name, params.pop(key))

        # 3. Step parameters and other initilisation arguments
        for key in params.copy():
            name = key[11:]
            part0, part1 = name.split('__')
            kwarg = {part1: params.pop(key)}
            callback = dict(self.callbacks_).get(part0)
            if callback is not None:
                callback.set_params(**kwarg)
            else:
                raise ValueError(
                    "Trying to set a parameter for callback {} "
                    "which does not exist.".format(part0))

        return self