human
Solve the following python programming problem given the following code:
def pooling_matrix(groups, per_group, strides = None, dtype = None, sparse = None) : 
    "
    Construct a pooling matrix, optionally with overlapping pools
    arranged in a 1 or 2D topology.

    Parameters
    ----------
    groups : int or tuple
        The grid dimensions of a 1- or 2-dimensional pooling grid.
    per_group : int or tuple
        The grid dimensions of a single 1- or 2-dimensional feature
        pool. Must be same length as `groups`.
    strides : int or tuple, optional
        The stride of the pools along each dimension. A value of `None`
        is equivalent to setting equal to `per_group`, i.e. no overlap
    dtype : dtype object or str, optional
        The dtype of the resulting pooling matrix.
    sparse : str, optional
        If `None`, the function will return a dense matrix (a rank-2
        `numpy.ndarray`). Specifying 'csc' or 'csr' in this argument will
        cause the function to return a `scipy.sparse.csc_matrix` or a
        `scipy.sparse.csr_matrix`, instead.

    Returns
    -------
    pools : ndarray or sparse matrix
        Either a dense 2-dimensional NumPy array or one of
        `scipy.sparse.csc_matrix` or `scipy.sparse.csr_matrix`, depending
        on the value of the `sparse` argument. In any case, the shape is
        `(n_pools, n_filters)` and the value of `pools[i, j]` is 1 if
        feature `j` is in pool `i`, and 0 otherwise.
    " 
    def _validate_shape(shape, param_name) : 
        try : 
            shape = tuple (shape) 
            [int (val) for val in shape] 
except (ValueError, TypeError) : 
            try : 
                shape = (int (shape),) 
except TypeError : 
                reraise_as (TypeError (('%s must be int or int tuple' % param_name))) 
return shape 
groups = _validate_shape (groups, 'groups') 
    per_group = _validate_shape (per_group, 'per_group') 
    if (strides is not None) : 
        strides = _validate_shape (strides, 'strides') 
else : 
        strides = per_group 
if (len (groups) != len (per_group)) : 
      ...

    
    

    Fix the buggy line: (row_stride, col_stride) = (col_stride [0], 1)
assistant
#Here is Python code to fix the buggy line: (row_stride, col_stride) = (col_stride [0], 1)
.

(row_stride, col_stride) = (strides [0], 1)