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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_row(lst, x):
    """ You are given a 2 dimensional data, as a nested lists, which is similar to matrix, however, unlike matrices, each row may contain a different number of columns. Given lst, and integer x, find integers x in the list, and return list of tuples, [(x1, y1), (x2, y2) ...] such that each tuple is a coordinate - (row, columns), starting with 0. Sort coordinates initially by rows in ascending order. Also, sort coordinates of the row by columns in descending order. get_row([ [1,2,3,4,5,6], [1,2,3,4,1,6], [1,2,3,4,5,1] ], 1) == [(0, 0), (1, 4), (1, 0), (2, 5), (2, 0)] get_row([], 1) == [] get_row([[], [1], [1, 2, 3]], 3) == [(2, 2)] """
    coords = [(i, j) for i in range(len(lst)) for j in range(len(lst[i])) if lst[i][j] == x]
    return sorted(sorted(coords, key=lambda x: x[1], reverse=True), key=lambda x: x[0])
