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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 apply_inverse(self, y, in_place=False):
 r""" Apply the inverse of the covariance matrix to the input by solving .. math:: K\,x = y Args: y (ndarray[nsamples] or ndadrray[nsamples, nrhs]):
 The vector or matrix :math:`y`. in_place (Optional[bool]):
 Should the data in ``y`` be overwritten with the result :math:`x`? (default: ``False``) """

        return cho_solve(self._factor, y, overwrite_b=in_place)