human
Solve the following python programming problem given the following code:
def cosine_similarity(x, y, eps = 1e-06) : 
    '
    Cosine similarity between a vector and each row of a base matrix.

    Parameters
    ----------
    x: a 1D Theano variable
        Vector to compare to each row of the matrix y.
    y: a 2D Theano variable
        Matrix to be compared to
    eps: float
        Precision of the operation (necessary for differentiability).

    Return
    ------
    z: a 1D Theano variable
        A vector whose components are the cosine similarities
        between x and each row of y.
    ' 
    def _cosine_similarity(x, y, eps = 1e-06) : 
        y = y.dimshuffle (1, 0) 
        z = T.dot (x, y) 
        z /= T.sqrt (((T.sum ((x * x)) * T.sum ((y * y), axis = 0)) + eps)) 
        return z 
def step(x_b, y_b) : 
        return _cosine_similarity (x_b, y_b, eps) 
(z, _) = theano.map (step, sequences = [y, y]) 
    return z 

    
    

    Fix the buggy line: (z, _) = theano.map (step, sequences = [y, y])
assistant
#Here is Python code to fix the buggy line: (z, _) = theano.

(z, _) = theano.map (step, sequences = [x, y])