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authorRossTheRoss <mstrapp@protonmail.com>2021-04-25 14:54:51 -0500
committerRossTheRoss <mstrapp@protonmail.com>2021-04-25 14:54:51 -0500
commitd40e0d02c955e97738615314443704d94219cff4 (patch)
tree14539c6b942f3293da6fd3dfd3187f5f69c422cc
parentAdd files via upload (diff)
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Remove redundant folder
-rw-r--r--Not Jack/Algorithm.py67
-rw-r--r--Not Jack/Board.py78
-rw-r--r--Not Jack/DotsNBoxes.py63
-rw-r--r--Not Jack/Nodes.py18
-rw-r--r--Not Jack/main.py40
5 files changed, 0 insertions, 266 deletions
diff --git a/Not Jack/Algorithm.py b/Not Jack/Algorithm.py
deleted file mode 100644
index de4fbc0..0000000
--- a/Not Jack/Algorithm.py
+++ /dev/null
@@ -1,67 +0,0 @@
-
-class Algo: # A class for defining algorithms used (minimax and alpha-beta pruning)
-
- def miniMax(State, Ply_num): # Function for the minimax algorithm
-
- for i in range(State.Current.dimY):
- for j in range(State.Current.dimX):
- if State.Current.Mat[i][j] == ' ' and (j, i) not in State.children:
- State.Make(j, i, True)
- if Ply_num < 2:
- return (i, j)
-
- Minimum_Score = 1000
- i = 0
- j = 0
- for k, z in State.children.items():
- Result = Algo.Maximum(z, Ply_num - 1, Minimum_Score)
- if Minimum_Score > Result:
- Minimum_Score = Result
- i = k[0]
- j = k[1]
-
- return (i, j)
-
-
- def Maximum(State, Ply_num, Alpha): # Alpha-beta pruning function for taking care of Alpha values
- if Ply_num == 0:
- return State.CurrentScore
-
- for i in range(State.Current.dimY):
- for j in range(State.Current.dimX):
- if State.Current.Mat[i][j] == ' ' and (j, i) not in State.children:
- State.Make(j, i, False)
-
- Maximum_Score = -1000
- i = 0
- j = 0
- for k, z in State.children.items():
- Result = Algo.Minimum(z, Ply_num - 1, Maximum_Score)
- if Maximum_Score < Result:
- Maximum_Score = Result
- if Result > Alpha:
- return Result
-
- return Maximum_Score
-
-
- def Minimum(State, Ply_num, Beta): # Alpha-beta pruning function for taking care of Beta values
- if Ply_num == 0:
- return State.CurrentScore
-
- for i in range(State.Current.dimY):
- for j in range(State.Current.dimX):
- if State.Current.Mat[i][j] == ' ' and (j, i) not in State.children:
- State.Make(j, i, True)
-
- Minimum_Score = 1000
- i = 0
- j = 0
- for k, z in State.children.items():
- Result = Algo.Maximum(z, Ply_num - 1, Minimum_Score)
- if Minimum_Score > Result:
- Minimum_Score = Result
- if Result < Beta:
- return Result
-
- return Minimum_Score
diff --git a/Not Jack/Board.py b/Not Jack/Board.py
deleted file mode 100644
index bd32cf4..0000000
--- a/Not Jack/Board.py
+++ /dev/null
@@ -1,78 +0,0 @@
-from random import *
-
-
-class Game: #A class for managing different situations and states happening in the game and on the board
- def __init__(self, Mat, dimX, dimY):
- self.Mat = Mat
- self.dimX = dimX
- self.dimY = dimY
-
- def Initiate(self): #initiating the game board with X and Y dimensions
- for i in range(0, self.dimY):
- R = []
- for j in range (0, self.dimX):
- if i % 2 == 1 and j % 2 == 1:
- R.append(randint(1, 9)) # Assigning a random number from 1 to 9 to the spots in the board as the points
- elif i % 2 == 0 and j % 2 == 0:
- R.append('*') # printing asterisks as the dots in the board
- else:
- R.append(' ') # adding extra space for actions in the game
- self.Mat.append(R)
-
- def Get_matrix(self): # Board matrix
- ans = []
- for i in range(0, self.dimY):
- R = []
- for j in range(0, self.dimX):
- R.append(self.Mat[i][j])
- ans.append(R)
- return ans
-
- def Draw_mat(self): # Drawing the board matrix as dots and lines
-
- if self.dimX > 9:
- print(" ", end='')
- print(" ", end='')
- for i in range(0, self.dimX):
- print(str(i), end=' ')
- print()
-
- if self.dimX > 9:
- print(" ", end='')
- print(" ", end='')
- for i in range(0, self.dimX + 1):
- print("___", end='')
- print()
- for j in range(self.dimY):
- if self.dimX > 9 and j < 10:
- print(" ", end='')
- print(str(j) + "| ", end='')
- for z in range(self.dimX):
- print(str(self.Mat[j][z]), end=' ')
- print()
- print(" _________________________\n")
-
- def Get_currentState(self):
- return Game(self.Get_matrix(), self.dimX, self.dimY)
-
- def action(self, i, j): # Applying the actions made by the human or the computer
- Sum = 0
-
- if j % 2 == 0 and i % 2 == 1:
- self.Mat[j][i] = '-'
- if j < self.dimY - 1:
- if self.Mat[j+2][i] == '-' and self.Mat[j+1][i+1] == '|' and self.Mat[j+1][i-1] == '|':
- Sum += self.Mat[j+1][i]
- if j > 0:
- if self.Mat[j-2][i] == '-' and self.Mat[j-1][i+1] == '|' and self.Mat[j-1][i-1] == '|':
- Sum += self.Mat[j-1][i]
-
- else:
- self.Mat[j][i] = '|'
- if i < self.dimX - 1:
- if self.Mat[j][i+2] == '|' and self.Mat[j+1][i+1] == '-' and self.Mat[j-1][i+1] == '-':
- Sum += self.Mat[j][i+1]
- if i > 0:
- if self.Mat[j][i-2] == '|' and self.Mat[j+1][i-1] == '-' and self.Mat[j-1][i-1] == '-':
- Sum += self.Mat[j][i-1]
- return Sum
diff --git a/Not Jack/DotsNBoxes.py b/Not Jack/DotsNBoxes.py
deleted file mode 100644
index 6674762..0000000
--- a/Not Jack/DotsNBoxes.py
+++ /dev/null
@@ -1,63 +0,0 @@
-from random import *
-import collections
-from Algorithm import *
-from Board import *
-from Nodes import *
-
-
-class DotsNBoxes: # A class for managing the moves made by the human and the computer
- def __init__(self, Board_Xdim, Board_Ydim, Ply_num):
- currentState = Game([], Board_Xdim, Board_Ydim)
- currentState.Initiate()
- self.State = Thing(currentState)
- self.Ply_num = Ply_num
- self.Score = 0
-
- def Human(self): # Defining the Human player and his actions/Choices
- self.State.Draw()
-
- HumanX = int(input("Please enter the 'X' coordinate of your choice (an integer such as 4): "))
- HumanY = int(input("Please enter the 'Y' coordinate of your choice (an integer such as 4): "))
- if (HumanX, HumanY) not in self.State.children:
- self.State.Make(HumanX, HumanY, False)
- self.State = self.State.children[(HumanX, HumanY)]
- else:
- self.State = self.State.children[(HumanX, HumanY)]
-
- print("Current Score =====>> Your Score - AI Score = " + str(self.State.CurrentScore),end ="\n\n\n")
-
- self.Computer()
-
-
- def Computer(self): # Defining the Computer player and its actions/Choices
- self.State.Draw()
-
- move = Algo.miniMax(self.State, self.Ply_num)
-
- self.State = self.State.children[(move[0], move[1])]
-
- print("AI selected the following coordinates to play:\n" + "(" ,str(move[0]), ", " + str(move[1]), ")", end = "\n\n")
-
- print("Current Score =====>> Your Score - AI Score = " + str(self.State.CurrentScore), end = "\n\n\n")
-
- if len(self.State.children) == 0:
- self.State.Draw()
- self.Evaluation()
- return
-
- self.Human()
-
- def Evaluation(self): # Evaluation function for taking care of the final scores
- print("Stop this Madness!!!\n")
- if self.State.CurrentScore > 0:
- print("You won you crazy little unicorn!! You are the new hope for the mankind!")
- exit()
- elif self.State.CurrentScore < 0:
- print("!!! Inevitable Doom!!! You were crushed by the AI!! ")
- exit()
- else:
- print("Draw! Well Congratulations! you are as smart as the AI!")
- exit()
-
- def start(self):
- self.Human()
diff --git a/Not Jack/Nodes.py b/Not Jack/Nodes.py
deleted file mode 100644
index da01944..0000000
--- a/Not Jack/Nodes.py
+++ /dev/null
@@ -1,18 +0,0 @@
-class Thing: # A class for Node related operations
- def __init__(self, currentState):
- self.Current = currentState
- self.CurrentScore = 0
- self.children = {}
-
- def Make(self, i, j, player): # Function for generating a child node
- self.children[(i, j)] = Thing(self.Current.Get_currentState())
- mul = 1
- if player:
- mul *= -1
- self.children[(i, j)].CurrentScore = (self.children[(i, j)].Current.action(i, j) * mul) + self.CurrentScore
-
- def Populate(self, i, j, Child): # Function for adding a node
- self.children[(i,j)] = Child
-
- def Draw(self): # function for drawing the board
- self.Current.Draw_mat()
diff --git a/Not Jack/main.py b/Not Jack/main.py
deleted file mode 100644
index 4e37684..0000000
--- a/Not Jack/main.py
+++ /dev/null
@@ -1,40 +0,0 @@
-from Algorithm import *
-from DotsNBoxes import *
-from Board import *
-from Nodes import *
-
-def main():
- while True:
-
- print("\t\t!! Welcome to the game of Dots and Boxes !!\n\n Be prepared to be crushed by the power of Artificial Intelligence ... !!\n\n\
- Kidding! You totally can beat it!\n\n\n")
-
- x = input("Press 1 to start the game or press 2 to escape from the inevitable doom!!\n\n")
- if x == "1":
-
- Board_Xdim = int(input("\nPlease enter the number of rows for the board: \n")) * 2 + 1
-
- if Board_Xdim < 5:
- print("\nthe number of rows should atleast be 2\n")
- exit()
-
- Board_Ydim = int(input("\nPlease enter the number of columns for the board: \n")) * 2 + 1
-
- if Board_Ydim < 5:
- print("\nthe number of columns should atleast be 2\n")
- exit()
-
- Ply_num = int(input("\nPlease enter the number of plies used by the AI: \n"))
-
- if Ply_num < 2:
- print("\nThe number of plies should be higher than 1\n")
- exit()
-
- Match = DotsNBoxes(Board_Xdim, Board_Ydim, Ply_num)
- Match.start()
- else:
- print ("\n\nEscape it is!")
- exit()
-
-if __name__ == "__main__":
- main()