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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 /Not Jack/Algorithm.py
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Remove redundant folder
Diffstat (limited to 'Not Jack/Algorithm.py')
-rw-r--r--Not Jack/Algorithm.py67
1 files changed, 0 insertions, 67 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