StringToBoardTest.py

board1 = "00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000000000100000000010000000001000000000100000010010001001001101111110111111111011111111101111111110"
board2 = "00000000000000000000000000000000000000000000000000000000000010000000001000000000100000000010000000001000000000100000000010000000001000000000100000010010001001001101111110111111111011111111101111111110"

# https://stackrabbit.herokuapp.com/rate-move?board=00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000000000100000000010000000001000000000100000010010001001001101111110111111111011111111101111111110&secondBoard=00000000000000000000000000000000000000000000000000000000000010000000001000000000100000000010000000001000000000100000000010000000001000000000100000010010001001001101111110111111111011111111101111111110?currentPiece=I&nextPiece=O&level=18&lines=8&inputFrameTimeline=X.....&lookaheadDepth=1

import numpy as np

def lineClear(array):
    
    # This yields a list of all the rows that are not filled
    nonFilledRows = np.where((1-array).any(axis=1))[0]

    # no line clear
    if len(nonFilledRows) == 20:
        return array, 0

    # Nice numpy trick which stores all the non-filled rows in a list.
    newBoard = array[nonFilledRows]
    numFilled = 20 - len(nonFilledRows)

     #  All you need to do now is insert rows at the top to complete line clear computation.
    for i in range(numFilled):
        newBoard = np.insert(newBoard, 0, np.array([0,0,0,0,0,0,0,0,0,0]),0 )
    
    assert(len(newBoard) == 20)

    return newBoard, numFilled

b1 = [0 if s == "0" else 1 for s in board1]
b2 = [0 if s == "0" else 1 for s in board2]
b1 = np.reshape(b1,(20,10))
b2 = np.reshape(b2,(20,10))
print(len(board1))
print(len(board2))
print(b1)
print(b2)
num, b3 = lineClear(b2)
print()
print(b1+b2)