AI3_PLAYER(AI1).py

#!/usr/bin/env python
# coding: utf-8

# In[5]:


import numpy
import random


COLUMN_COUNT = 7
ROW_COUNT = 6
AI = 2
PLAYER = 1

position_values = numpy.array([[30,40,50,70,50,40,30],[40,60,80,100,80,60,40],[50,80,110,130,110,80,50],[50,80,110,130,110,80,50],[40,60,80,100,80,60,40],[30,40,50,70,50,40,30]])

def create_game_board():
    # Create board and fill positions with zeros
    board = numpy.zeros((ROW_COUNT, COLUMN_COUNT), dtype=int)
    return board

def playable_location_control(board, col):
    # if location is 0 this means it is valid
    return board[ROW_COUNT-1][col] == 0

def play_piece(board, row, col, piece):
    #play game
    board[row][col] = piece

def get_next_row(board, col):
    # Get next available row
    for r in range(ROW_COUNT):
        if board[r][col] == 0:
            return r

def evaluation_1(board, piece):
  
    three_score = consecutive_three(board, PLAYER) * 1000
   
    two_score = consecutive_two(board, PLAYER) * 10
  
    AI_three_score = consecutive_three(board, AI) * 1000
  
    AI_two_score = consecutive_two(board, AI) * 10

    # Calculate final score of AI and PLAYER
    score = two_score + three_score - AI_two_score - AI_three_score

    return score




def evaluation_3(board, piece):
    
  
    four_score = consecutive_four(board, PLAYER) * 100000
  
    three_score = consecutive_three(board, PLAYER) * 1000
    
    two_score = consecutive_two(board, PLAYER) * 10
    
    AI_four_score = consecutive_four(board, AI) * 100000
   
    AI_three_score = consecutive_three(board, AI) * 1000
  
    AI_two_score = consecutive_two(board, AI) * 10

    
    # Calculate final score of AI and PLAYER
    score = AI_two_score + AI_three_score + AI_four_score - two_score - three_score - four_score

    return score


def consecutive_two(board, piece):
    #  # the number of two in a row piece has
    count_two_pieces = 0
    for r in range(ROW_COUNT-1):
        for c in range(COLUMN_COUNT-1):
            if c < COLUMN_COUNT-3:
                #horizantal right
                if board[r][c] == board[r][c+1] == piece and board[r][c+2] == board[r][c+3] == 0:
                    count_two_pieces += 1
                if r < ROW_COUNT-3:
                    #diagonal right
                    if board[r][c] == board[r+1][c+1] == piece and board[r+2][c+2] == board[r+3][c+3] == 0:
                        count_two_pieces += 1
            if c >= 3:
                #horizantal left
                if board[r][c] == board[r][c-1] == piece and board[r][c-2] == board[r][c-3] == 0:
                    count_two_pieces += 1
                if r < ROW_COUNT-3:
                    #diagonal left
                    if board[r][c] == board[r+1][c-1] == piece and board[r+2][c-2] == board[r+3][c-3] == 0:
                        count_two_pieces += 1
            if r < ROW_COUNT-3:
                #vertical
                if board[r][c] == board[r+1][c] == piece and board[r+2][c] == board[r+3][c] == 0:
                    count_two_pieces += 1
    return count_two_pieces

def consecutive_three(board, piece):
     # the number of three in a row piece has
    count_three_pieces = 0
    for r in range(ROW_COUNT-1):
        for c in range(COLUMN_COUNT-1):
            if c < COLUMN_COUNT-3:
                #horizantal right
                if board[r][c] == board[r][c+1] == board[r][c+2] == piece and board[r][c+3] == 0:
                    count_three_pieces += 1
                if r < ROW_COUNT-3:
                    #diagonal right
                    if board[r][c] == board[r+1][c+1] == board[r+2][c+2] == piece and board[r+3][c+3] == 0:
                        count_three_pieces += 1
            if c >= 3:
                #horizantal left
                if board[r][c] == board[r][c-1] == board[r][c-2] == piece and board[r][c-3] == 0:
                    count_three_pieces += 1
                if r < ROW_COUNT-3:
                    #diagonal left
                    if board[r][c] == board[r+1][c-1] == board[r+2][c-2] == piece and board[r+3][c-3] == 0:
                        count_three_pieces += 1
            if r < ROW_COUNT-3:
                #vertical
                if board[r][c] == board[r+1][c] == board[r+2][c] == piece and board[r+3][c] == 0:
                    count_three_pieces += 1
    return count_three_pieces


def consecutive_four(board, piece):
    # the number of four in a row piece has
    count_four_pieces = 0
    for r in range(ROW_COUNT-1):
        for c in range(COLUMN_COUNT-1):
            if c < COLUMN_COUNT-3:
                # horizantal right
                if board[r][c] == board[r][c+1] == board[r][c+2] == board[r][c+3] == piece:
                
                    count_four_pieces += 1
                if r < ROW_COUNT-3:
                    # diagonal right
                    if board[r][c] == board[r+1][c+1] == board[r+2][c+2] == board[r+3][c+3] == piece:
                        count_four_pieces += 1
            if c >= 3:
                # horizantal left
                if board[r][c] == board[r][c-1] == board[r][c-2] == board[r][c-3] == piece:
                    count_four_pieces += 1
                if r < ROW_COUNT-3:
                    # diagonal left
                    if board[r][c] == board[r+1][c-1] == board[r+2][c-2] == board[r+3][c-3] == piece:
                        count_four_pieces += 1
            if r < ROW_COUNT-3:
                # vertical
                if board[r][c] == board[r+1][c] == board[r+2][c] == board[r+3][c] == piece:
                    count_four_pieces += 1
    return count_four_pieces


def minimax_1(board, depth,maximizingPlayer):
    # playable locations
    playable_locations = find_playable_locations(board)
    # check if game is over or not
    is_terminal, winner = check_game_over(board)
    if depth == 0 or is_terminal:
        # if game is over
        if is_terminal:
            
            # If AI win return 1000000 score
            if winner == PLAYER:
                return (None, 1000000)
            # If Player win return -1000000 score
            elif winner == AI:
                return (None, -1000000)
            else:
                # If no one win ,return 0 score
                return (None, 0)
        else:
            
            
            # If depth equals 0 return evaluation score
            return (None, evaluation_1(board, PLAYER))
    if maximizingPlayer:
        value = float("-inf")
        column = random.choice(playable_locations)
        for col in playable_locations:
            row = open_row(board, col)
            # Create a temp board
            temp_board = board.copy()
            
            # simulation of move
            play_piece(temp_board, row, col, PLAYER)
            # until terminal or deepest board state
            new_score = minimax_1(temp_board, depth-1, False)[1]
            
            if new_score > value:
                value = new_score
                column = col
           
        return column, value

    else:
        value = float("inf")
        column = random.choice(playable_locations)
        for col in playable_locations:
            row = open_row(board, col)
            # Create a temp board
            temp_board = board.copy()
            
            # simulation of move
            play_piece(temp_board, row, col, AI)
            # until terminal or deepest board state
            new_score = minimax_1(temp_board, depth-1, True)[1]
            
            if new_score < value:
                value = new_score
                column = col
            
        return column, value



def minimax_3(board, depth,maximizingPlayer):
    # playable locations
    playable_locations = find_playable_locations(board)
    # Check if game is over or not
    is_terminal, winner = check_game_over(board)
    if depth == 0 or is_terminal:
        # if game over
        if is_terminal:
            # If AI win return 1000000 score
            if winner == AI:
                return (None, 1000000)
            # If Player win return -1000000 score
            elif winner == PLAYER:
                return (None, -1000000)
            else:
                # If no one win ,return 0 score
                return (None, 0)
        else:
            # If depth equals 0 return evaluation score
            return (None, evaluation_3(board, AI))
    if maximizingPlayer:
        value = float("-inf")
        column = random.choice(playable_locations)
        for col in playable_locations:
            row = open_row(board, col)
            # Create a temp board
            temp_board = board.copy()
            # simulation
            play_piece(temp_board, row, col, AI)
            # until terminal or deepest board state
            new_score = minimax_3(temp_board, depth-1, False)[1]
            if new_score > value:
                value = new_score
                column = col
           
        return column, value

    else:
        value = float("inf")
        column = random.choice(playable_locations)
        for col in playable_locations:
            row = open_row(board, col)
            # Create a temp board
            temp_board = board.copy()
            # simulation
            play_piece(temp_board, row, col, PLAYER)
            #until terminal or deepest board state
            new_score = minimax_3(temp_board, depth-1, True)[1]
            if new_score < value:
                value = new_score
                column = col
            
        return column, value


def open_row(board, col):
    for r in range(ROW_COUNT):
        if board[r][col] == 0:
            return r


def find_playable_locations(board):
    # all playable locations
    playable_locations = []
    for col in range(COLUMN_COUNT):
        # If location is available
        if playable_location_control(board, col):
            # position is added to playable locations
            playable_locations.append(col)
    return playable_locations


def game_board(board):
    print(numpy.flip(board, 0))


def check_game_over(board):
    # Check if game is over 
    
    if winner_check(board, PLAYER):
        return True, PLAYER
    
    if winner_check(board, AI):
        return True, AI
    
    if len(find_playable_locations(board)) <= 0:
        return True, 0
    return False, -1


def winner_check(board, piece):
    # Check for win
    # horizontal
    for c in range(COLUMN_COUNT-3):
        for r in range(ROW_COUNT):
            if board[r][c] == piece and board[r][c+1] == piece and board[r][c+2] == piece and board[r][c+3] == piece:
                return True

    # vertical
    for c in range(COLUMN_COUNT):
        for r in range(ROW_COUNT-3):
            if board[r][c] == piece and board[r+1][c] == piece and board[r+2][c] == piece and board[r+3][c] == piece:
                return True

    # diagonal right
    for c in range(COLUMN_COUNT-3):
        for r in range(ROW_COUNT-3):
            if board[r][c] == piece and board[r+1][c+1] == piece and board[r+2][c+2] == piece and board[r+3][c+3] == piece:
                return True

    # diagonal left
    for c in range(COLUMN_COUNT-3):
        for r in range(3, ROW_COUNT):
            if board[r][c] == piece and board[r-1][c+1] == piece and board[r-2][c+2] == piece and board[r-3][c+3] == piece:
                return True


game_over = False
board = create_game_board()

turn = 0


# Game 
print("Game is start!!!")
game_board(board)
print("-------------------")
while not game_over:
    if turn == 0:
        print("**********")
        print("AI 1 MOVE")
        print("**********")
        # Take input 
        col, minimax_score = minimax_1(board, 4, True)
        # if input is true
        if playable_location_control(board, col):
            row = get_next_row(board, col)
            play_piece(board, row, col, PLAYER)
            turn = 1
            game_board(board)
            if winner_check(board, PLAYER):
                print("**********")
                print("**********")
                print("AI 1 WINS!!!")
                print("**********")
                print("**********")
                game_over = True
            print("-------------------")
        else:
            print("no column to move")
    else:
        print("**********")
        print("AI 3 MOVE")
        print("**********")
        
      
        col, minimax_score = minimax_3(board, 4, True)
        if playable_location_control(board, col):
            row = get_next_row(board, col)
            play_piece(board, row, col, AI)
            turn = 0
            game_board(board)
            if winner_check(board, AI):
                print("**********")
                print("**********")
                print("AI 3 WINS!!!")
                print("**********")
                print("**********")
                game_over = True
            print("-------------------")
        else:
            print("no column to move")