things are better now

.gitignore

@@ -0,0 +1,167 @@
+### Emacs ###
+# -*- mode: gitignore; -*-
+*~
+\#*\#
+/.emacs.desktop
+/.emacs.desktop.lock
+*.elc
+auto-save-list
+tramp
+.\#*
+
+# Org-mode
+.org-id-locations
+*_archive
+
+# flymake-mode
+*_flymake.*
+
+# eshell files
+/eshell/history
+/eshell/lastdir
+
+# elpa packages
+/elpa/
+
+# reftex files
+*.rel
+
+# AUCTeX auto folder
+/auto/
+
+# cask packages
+.cask/
+dist/
+
+# Flycheck
+flycheck_*.el
+
+# server auth directory
+/server/
+
+# projectiles files
+.projectile
+projectile-bookmarks.eld
+
+# directory configuration
+.dir-locals.el
+
+# saveplace
+places
+
+# url cache
+url/cache/
+
+# cedet
+ede-projects.el
+
+# smex
+smex-items
+
+# company-statistics
+company-statistics-cache.el
+
+# anaconda-mode
+anaconda-mode/
+
+### Python ###
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+.pytest_cache/
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+
+# Translations
+*.mo
+*.pot
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule.*
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+
+
+# End of https://www.gitignore.io/api/emacs,python

game.py

@@ -1,24 +1,17 @@
-import time
-from human import Human
 from board import Board
 from bot import Bot
-from restore_bot import Restore_bot
-import tensorflow as tf
+from restore_bot import RestoreBot
 import numpy as np
-import random
 
 from cup import Cup
 
+
 class Game:
     def __init__(self):
         self.board = Board.initial_state
-#        self.session = tf.Session()
-#        self.restored_network = Network(self.session)
-#        self.network = Network(self.session)
-#        self.restored_network.restore_model()
         
         self.p1 = Bot(1)
-        self.p2 = Restore_bot(-1)
+        self.p2 = RestoreBot(-1)
         self.cup = Cup()
 
     def roll(self):
@@ -44,22 +37,22 @@ class Game:
         outcomes = []
         for episode in range(episodes):
             self.board = Board.initial_state
-            x = self.board
-            while Board.outcome(self.board) == None:
-                x_next, v_next = self.roll_and_find_best_for_bot()
-                self.p1.get_network().train(x, v_next)
-                x = x_next
+            prev_board = self.board
+            while Board.outcome(self.board) is None:
+                cur_board, cur_board_value = self.roll_and_find_best_for_bot()
+                self.p1.get_network().train(prev_board, cur_board_value)
+                prev_board = cur_board
                 self.next_round()
             print("Outcome:", Board.outcome(self.board)[1])
             outcomes.append(Board.outcome(self.board)[1])
-            self.p1.get_network().train(x, np.array([Board.outcome(self.board)[1]]).reshape((1,1)))
-            print("trained an episode")
+            final_score = np.array([ Board.outcome(self.board)[1] ]).reshape((1, 1))
+            self.p1.get_network().train(prev_board, final_score)
+            print("trained episode {}".format(episode))
             if episode % 10 == 0:
-                print("Saving ....")
+                print("Saving...")
                 self.p1.get_network().save_model()
         print(outcomes)
 
-    
     def next_round_test(self):
         print(self.board)
         print()
@@ -68,12 +61,10 @@ class Game:
         print(self.board)
         print("--------------------------------")
 
-
     def play(self):
         count = 0
-        while Board.outcome(self.board) == None:
+        while Board.outcome(self.board) is None:
             count += 1
-                
             print("Turn:",count)
 
             roll = self.roll()

network.py

@@ -89,8 +89,6 @@ class Network:
 
         return val
 
-
-
     def save_model(self):
         self.saver.save(self.session, self.checkpoint_path + 'model.ckpt')
     

restore_bot.py

@@ -5,7 +5,7 @@ from network import Network
 from board import Board
 import random
 
-class Restore_bot:
+class RestoreBot:
 
     def __init__(self, sym):
         self.cup = Cup()
@@ -34,10 +34,8 @@ class Restore_bot:
         # print(Board.pretty(board))
         legal_moves = Board.calculate_legal_states(board, sym, roll)
         legal_list = list(legal_moves)
-        lol = []
-        for move in legal_list:
-            lol.append(self.network.eval_state(np.array(move).reshape(1,26)))
-        print("Found the best state, being:", np.array(lol).argmax())
-        return legal_list[np.array(lol).argmax()]
+        move_scores = [ self.network.eval_state(np.array(move).reshape(1,26)) for move in legal_list ]
+        print("Found the best state, being:", np.array(move_scores).argmax())
+        return legal_list[np.array(move_scores).argmax()]
         
 #        return random.choice(list(legal_moves))