From fa5b4c6c1a44462ae30e3fb5faf0275a21a4fb47 Mon Sep 17 00:00:00 2001
From: Chris Proctor <github.com@accounts.chrisproctor.net>
Date: Wed, 11 May 2022 11:43:02 -0400
Subject: [PATCH] Removing obsolete ttt_learn

---
 ttt_learn.py | 78 ----------------------------------------------------
 1 file changed, 78 deletions(-)
 delete mode 100644 ttt_learn.py

diff --git a/ttt_learn.py b/ttt_learn.py
deleted file mode 100644
index 3237d68..0000000
--- a/ttt_learn.py
+++ /dev/null
@@ -1,78 +0,0 @@
-
-# A state is a dictionary with two keys, "board" and "player." Here's an example:
-# 
-# {
-#     "board": [None, None, "X", None, "O", None, "X", "O", None],
-#     "player": "X",
-# }
-
-from itertools import count
-counter = count()
-
-def get_actions(state):
-    """Given a board state, returns a dictionary whose keys are possible actions and whose 
-    values are the resulting state from each action. If the game is over, returns an empty
-    dictionary because no further moves are possible.
-    """
-    if is_over(state):
-        return {}
-    else:
-        actions = {}
-        for i in range(9):
-            if state["board"][i] is None or state["board"][i] == ' ':
-                actions[i] = get_next_state(state, i)
-        return actions
-
-def choose_best_action(state, depth=0, explain=False):
-    """Given a state, returns the best action, its resulting state, and that state's value.
-    For each possible action, we find the value of the resulting state. 
-    Then, if the player is 'X', choose the action corresponding to the highest
-    value. If the player is 'O', choose the action corresponding to the lowest
-    value. 
-    """
-    if explain:
-        question_number = next(counter)
-        pose_question(state, question_number, depth)
-    actions = get_actions(state)
-    values_and_actions = []
-    for action, result in actions.items():
-        values_and_actions.append([get_value(result, depth=depth, explain=explain), action])
-    if state["player"] == "X":
-        value, action = max(values_and_actions)
-    else:
-        value, action = min(values_and_actions)
-    if explain:
-        answer_question(state, action, question_number, depth)
-    return action, actions[action], value
-
-def get_value(state, depth=0, explain=False):
-    """Determines the value of the state.
-    """
-    if is_win(state, 'X'):
-        return 1
-    elif is_win(state, 'O'):
-        return -1
-    elif is_draw(state):
-        return 0
-    else:
-        action, result, value = choose_best_action(state, depth=depth+1, explain=explain)
-        return value
-        
-# =========================================================================================
-# ================================== HELPERS ==============================================
-# =========================================================================================
-
-def pose_question(state, index, depth):
-    "Logs a question asking about a player's best move at a state."
-    board = format_board_inline(state['board'])
-    log(f"What is the best action for {state['player']} at {board}?", index, depth)
-
-def answer_question(state, action, index, depth):
-    "Logs the answer to a question about a player's best move at a state."
-    board = format_board_inline(state['board'])
-    log(f"The best action for {state['player']} at {board} is {action}", index, depth)
-        
-def log(message, index, depth):
-    "Prints a message at the appropriate depth, with each message numbered."
-    indent = '  ' * depth
-    print(f"{indent}{index}. {message}")