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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 partition(self, dimension):
 """ Partition subspace into desired dimension. :type dimension: int :param dimension: Maximum dimension to use. """

        # Take leftmost 'dimension' input basis vectors
        for i, channel in enumerate(self.u):
            if self.v[i].shape[1] < dimension:
                raise IndexError('Channel is max dimension %s'
                                 % self.v[i].shape[1])
            self.data[i] = channel[:, 0:dimension]
        self.dimension = dimension
        return self