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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 get_weights(self, data, F):
 """Calculate weight matrix based on fMRI data and factors Parameters data : 2D array, with shape [n_voxel, n_tr] fMRI data from one subject F : 2D array, with shape [n_voxel,self.K] The latent factors from fMRI data. Returns ------- W : 2D array, with shape [K, n_tr] The weight matrix from fMRI data. """


        beta = np.var(data)
        trans_F = F.T.copy()
        W = np.zeros((self.K, data.shape[1]))
        if self.weight_method == 'rr':
            W = np.linalg.solve(trans_F.dot(F) + beta * np.identity(self.K),
                                trans_F.dot(data))
        else:
            W = np.linalg.solve(trans_F.dot(F), trans_F.dot(data))
        return W