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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 _asarray(self, vec):
 """Convert ``x`` to an array. Here the indices are changed such that the "outer" indices come last in order to have the access order as `numpy.linalg.svd` needs it. This is the inverse of `_asvector`. """

        shape = self.domain[0, 0].shape + self.pshape
        arr = np.empty(shape, dtype=self.domain.dtype)
        for i, xi in enumerate(vec):
            for j, xij in enumerate(xi):
                arr[..., i, j] = xij.asarray()

        return arr