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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_flat(self):
 """Gets the weights and returns them as a flat array. Returns: 1D Array containing the flattened weights. """

        self._check_sess()
        return np.concatenate([
            v.eval(session=self.sess).flatten()
            for v in self.variables.values()
        ])