{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Deep Otello AI\n",
"\n",
"The game reversi is a very good game to apply deep learning methods to.\n",
"\n",
"Othello, also known as reversi, is a board game first published in 1883 by either Lewis Waterman or John W. Mollet in England (each one was denouncing the other as fraud).\n",
"It is a strict turn-based zero-sum game with a clear Markov chain and no hidden states, unlike card games with an unknown distribution of cards or unknown player allegiance.\n",
"The game is played with one set of stones with two colors, which is much easier to abstract than chess with its 6 unique pieces.\n",
"The game board is symmetrical and allows for playing with rotating the state around an axis or flipping/mirroring the board, which can allow for a breaking of sequences or interesting ANN architectures, quadruple the data generation by simulation, or interesting test cases where symmetry in turns should be observable if the AI reaches an \"objective\" policy."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## The game rules\n",
"\n",
"Othello is played on a board with 8 x 8 fields for two player.\n",
"The board geometry is equal to a chess game.\n",
"The game is played with game stones that are black on one siede and white on the other.\n",
"\n",
"\n",
"\n",
"The player take turns.\n",
"A player places a stone with his or her color up on the game board.\n",
"The player can only place stones when he surrounds a number of stones with the opponents color with the new stone and already placed stones of his color.\n",
"Those surrounded stones can either be horizontally, vertically and/or diagonally be placed.\n",
"All stones thus surrounded will be flipped to be of the players color.\n",
"Turns are only possible if the player is also changing the color of the opponents stones. If a player can't act he is skipped.\n",
"The game ends if both players can't act. The player with the most stones wins.\n",
"If the score is counted in detail unclaimed fields go to the player with more stones of his or her color on the board.\n",
"The game begins with four stones places in the center of the game. Each player gets two. They are placed diagonally to each other.\n",
"\n",
"\n",
"\n",
"\n",
"## Some common Othello strategies\n",
"\n",
"As can be easily understood the placement of stones and on the bord is always a careful balance of attack and defence.\n",
"If the player occupies huge homogenous stretches on the board it can be attacked easier.\n",
"The boards corners provide safety from wich occupied territory is impossible to loos but since it is only possible to reach the corners if the enemy is forced to allow this or calculates the cost of giving a stable base to the enemy it is difficult to obtain.\n",
"There are some text on otello computer strategies which implement greedy algorithms for reversi based on a modified score to each field.\n",
"Those different values are score modifiers for a traditional greedy algorithm.\n",
"If a players stone has captured such a filed the score reached is multiplied by the modifier.\n",
"The total score is the score reached by the player subtracted with the score of the enemy.\n",
"The scores change in the course of the game and converges against one. This gives some indications of what to expect from an Othello AI.\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Initial design decisions\n",
"\n",
"At the beginning of this project I made some design decisions.\n",
"The first onw was that I do not want to use a gym library because it limits the data formats accessible.\n",
"I choose to implement the hole game as entry in a stack in numpy arrays to be able to accommodate interfacing with a neural network easier and to use scipy pattern recognition tools to implement some game mechanics for a fast simulation cycle.\n",
"I chose to ignore player colors as far as I could instead a player perspective was used. Which allowed to change the perspective with a flipping of the sign. (multiplying with -1).\n",
"The array format should also allow for data multiplication or the breaking of strikt sequences by flipping the game along one the for axis, (horizontal, vertical, transpose along both diagonals).\n",
"\n",
"I wanted to implement different agents as classes that act on those game stacks.\n",
"\n",
"Since computation time is critical all computational have results are saved.\n",
"The analysis of those is then repeated in real time. If a recalculation of such a section is required the save file can be deleted and the code should be executed again."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%load_ext blackcellmagic\n",
"%load_ext line_profiler\n",
"%load_ext memory_profiler"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Imports and dependencies\n",
"\n",
"The following direct dependencies where used for this project:\n",
"```toml\n",
"jupyter = \"^1.0.0\"\n",
"matplotlib = \"^3.6.3\"\n",
"numpy = \"^1.24.1\"\n",
"pytest = \"^7.2.1\"\n",
"python = \"3.10.*\"\n",
"scipy = \"^1.10.0\"\n",
"tqdm = \"^4.64.1\"\n",
"jupyterlab = \"^3.6.1\"\n",
"torchvision = \"^0.14.1\"\n",
"torchaudio = \"^0.13.1\"\n",
"```\n",
"* `Jupyter` and `jupyterlab` on pycharm was used as an IDE / Ipython was used to implement this code.\n",
"* `matplotlib` was used for visualisation and statistics.\n",
"* `numpy` was used for array support and mathematical functions\n",
"* `tqdm` was used for progress bars\n",
"* `scipy` contains fast pattern recognition tools for images. It was used to make an initial estimation about where possible turns should be.\n",
"* `torch` supplied the ANN functionalities."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import pickle\n",
"import abc\n",
"import itertools\n",
"import os.path\n",
"from abc import ABC\n",
"from enum import Enum\n",
"from typing import Final\n",
"from IPython.display import clear_output, display\n",
"from pathlib import Path\n",
"import glob\n",
"import copy\n",
"from functools import lru_cache, wraps\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"import torch\n",
"import torch.nn as nn\n",
"from torch.nn import functional\n",
"from ipywidgets import interact\n",
"from scipy.ndimage import binary_dilation\n",
"from tqdm.notebook import tqdm"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Constants\n",
"\n",
"Some general constants needed to be defined. Such as board game size and Player and Enemy representations. Also, directional offsets and the initial placement of blocks."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"BOARD_SIZE: Final[int] = 8 # defines the board side length as 8\n",
"PLAYER: Final[int] = 1 # defines the number symbolising the player as 1\n",
"ENEMY: Final[int] = -1 # defines the number symbolising the enemy as -1\n",
"EXAMPLE_STACK_SIZE: Final[int] = 1000 # defines the game stack size for examples\n",
"IMPOSSIBLE: Final[np.ndarray] = np.array([-1, -1], dtype=int)\n",
"IMPOSSIBLE.setflags(write=False)\n",
"SIMULATE_TURNS: Final[int] = 70\n",
"VERIFY_POLICY: Final[bool] = False\n",
"TRAINING_RESULT_PATH: Final[Path] = Path(\"training_data\")\n",
"if not os.path.exists(TRAINING_RESULT_PATH):\n",
" os.mkdir(TRAINING_RESULT_PATH)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The directions array contains all the numerical offsets needed to move along one of the 8 directions in a 2 dimensional grid. This will allow an iteration over the game board.\n",
"\n",
""
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[-1, -1],\n",
" [-1, 0],\n",
" [-1, 1],\n",
" [ 0, -1],\n",
" [ 0, 1],\n",
" [ 1, -1],\n",
" [ 1, 0],\n",
" [ 1, 1]])"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"DIRECTIONS: Final[np.ndarray] = np.array(\n",
" [[i, j] for i in range(-1, 2) for j in range(-1, 2) if j != 0 or i != 0],\n",
" dtype=int,\n",
")\n",
"DIRECTIONS.setflags(write=False)\n",
"DIRECTIONS"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Another constant needed is the initial start square at the center of the board."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[-1, 1],\n",
" [ 1, -1]])"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"START_SQUARE: Final[np.ndarray] = np.array(\n",
" [[ENEMY, PLAYER], [PLAYER, ENEMY]], dtype=int\n",
")\n",
"START_SQUARE.setflags(write=False)\n",
"START_SQUARE"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Creating new boards\n",
"\n",
"The first function implemented and tested is a function to generate the starting environment as a stack of games.\n",
"As described above I simply placed a 2 by 2 square in the center of an empty stack of boards."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ 0, 0, 0, 0, 0, 0, 0, 0],\n",
" [ 0, 0, 0, 0, 0, 0, 0, 0],\n",
" [ 0, 0, 0, 0, 0, 0, 0, 0],\n",
" [ 0, 0, 0, -1, 1, 0, 0, 0],\n",
" [ 0, 0, 0, 1, -1, 0, 0, 0],\n",
" [ 0, 0, 0, 0, 0, 0, 0, 0],\n",
" [ 0, 0, 0, 0, 0, 0, 0, 0],\n",
" [ 0, 0, 0, 0, 0, 0, 0, 0]])"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_new_games(number_of_games: int) -> np.ndarray:\n",
" \"\"\"Generates a stack of initialised game boards.\n",
"\n",
" Args:\n",
" number_of_games: The size of the board stack.\n",
"\n",
" Returns: The generates stack of games as a stack n x 8 x 8.\n",
"\n",
" \"\"\"\n",
" empty = np.zeros([number_of_games, BOARD_SIZE, BOARD_SIZE], dtype=int)\n",
" empty[:, 3:5, 3:5] = START_SQUARE\n",
" return empty\n",
"\n",
"\n",
"get_new_games(1)[0]"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"test_number_of_games = 3\n",
"assert get_new_games(test_number_of_games).shape == (\n",
" test_number_of_games,\n",
" BOARD_SIZE,\n",
" BOARD_SIZE,\n",
")\n",
"np.testing.assert_equal(\n",
" get_new_games(test_number_of_games).sum(axis=1),\n",
" np.zeros(\n",
" [\n",
" test_number_of_games,\n",
" 8,\n",
" ]\n",
" ),\n",
")\n",
"np.testing.assert_equal(\n",
" get_new_games(test_number_of_games).sum(axis=2),\n",
" np.zeros(\n",
" [\n",
" test_number_of_games,\n",
" 8,\n",
" ]\n",
" ),\n",
")\n",
"assert np.all(get_new_games(test_number_of_games)[:, 3:4, 3:4] != 0)\n",
"del test_number_of_games"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Visualisation tools\n",
"\n",
"In this section a visualisation help was implemented for debugging of the game and a proper display of the results.\n",
"For this visualisation ChatGPT was used as a prompted code generator that was later reviewed and refactored by hand to integrate seamlessly into the project as a whole.\n",
"White stones represent the player, black stones the enemy. A single plot can be used as a subplot when the `ax` argument is used."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def plot_othello_board(\n",
" board: np.ndarray | torch.Tensor,\n",
" action: np.ndarray | None = None,\n",
" score: float | None = None,\n",
" ax=None,\n",
") -> None:\n",
" \"\"\"Plots a single otello board.\n",
"\n",
" If a matplot axis object is given the board will be plotted into that axis. If not an axis object will be generated.\n",
" The image generated will be shown directly.\n",
"\n",
" Args:\n",
" board: The bord that should be plotted. Only a single games is allowed. A numpy array of the form 8x8 is expected.\n",
" action: The action taken on each board.\n",
" score: The score reached with the turn.\n",
" ax: If needed a matplotlib axis object can be defined that is used to place the board as a sublot into a bigger context.\n",
" \"\"\"\n",
" # convert a tensor into an array\n",
" if isinstance(board, torch.Tensor):\n",
" board = board.cpu().detach().numpy()\n",
"\n",
" # ensure the shape of the array fits\n",
" assert board.shape == (8, 8)\n",
" plot_all = False\n",
"\n",
" # create a figure if no axis is given\n",
" if ax is None:\n",
" fig_size = 3\n",
" plot_all = True\n",
" fig, ax = plt.subplots(figsize=(fig_size, fig_size))\n",
"\n",
" # set the background color\n",
" ax.set_facecolor(\"#0f6b28\")\n",
"\n",
" # plot the actions\n",
" if action is not None:\n",
" ax.scatter(action[0], action[1], s=350 if plot_all else 200, c=\"red\")\n",
"\n",
" # plot black and white stones\n",
" for x_pos, y_pos in itertools.product(range(BOARD_SIZE), range(BOARD_SIZE)):\n",
" if board[x_pos, y_pos] == ENEMY:\n",
" color = \"white\"\n",
" elif board[x_pos, y_pos] == PLAYER:\n",
" color = \"black\"\n",
" else:\n",
" continue\n",
" ax.scatter(x_pos, y_pos, s=260 if plot_all else 140, c=color)\n",
"\n",
" # plot the lines separating the fields\n",
" for x_pos in range(-1, 8):\n",
" ax.axhline(x_pos + 0.5, color=\"black\", lw=2)\n",
" ax.axvline(x_pos + 0.5, color=\"black\", lw=2)\n",
"\n",
" # define the size of the plot\n",
" ax.set_xlim(-0.5, 7.5)\n",
" ax.set_ylim(7.5, -0.5)\n",
"\n",
" # set the axis labels\n",
" ax.set_xticks(np.arange(8))\n",
" ax.set_xticklabels(list(\"ABCDEFGH\"))\n",
" ax.set_yticks(np.arange(8))\n",
" ax.set_yticklabels(list(\"12345678\"))\n",
"\n",
" # overrides the x_label text if a score should be plotted\n",
" if score is None:\n",
" ax.set_xlabel(\n",
" f\"B{np.sum(board == PLAYER)} / {np.sum(board == 0)} / W{np.sum(board == ENEMY)}\"\n",
" )\n",
" else:\n",
" ax.set_xlabel(f\"Score: {score}\")\n",
" if plot_all:\n",
" plt.tight_layout()\n",
" plt.show()\n",
"\n",
"\n",
"plot_othello_board(get_new_games(1)[0], action=np.array([3, 3]))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"PLOTS_PER_ROW = 4\n",
"\n",
"\n",
"def plot_othello_boards(\n",
" boards: np.ndarray,\n",
" actions: np.ndarray | None = None,\n",
" scores: np.ndarray | None = None,\n",
") -> None:\n",
" \"\"\"Plots multiple boards into subplots.\n",
"\n",
" The plots are shown directly.\n",
"\n",
" Args:\n",
" boards: Plots the boards given into subplots. The maximum number of boards accepted is 70.\n",
" actions: A list of actions taken on each of the boards.\n",
" scores: A list of scores reached at each board.\n",
" \"\"\"\n",
" # checking if the array input shapes do fit\n",
" assert len(boards.shape) == 3\n",
" assert boards.shape[1:] == (BOARD_SIZE, BOARD_SIZE)\n",
" assert boards.shape[0] < 70\n",
"\n",
" if actions is not None:\n",
" assert len(actions.shape) == 2\n",
" assert actions.shape[1] == 2\n",
" assert boards.shape[0] == actions.shape[0]\n",
"\n",
" if scores is not None:\n",
" assert len(scores.shape) == 1\n",
" assert boards.shape[0] == scores.shape[0]\n",
"\n",
" # plots the boards\n",
" rows = int(np.ceil(boards.shape[0] / PLOTS_PER_ROW))\n",
" fig, axs = plt.subplots(rows, PLOTS_PER_ROW, figsize=(12, 3 * rows))\n",
" for game_index, ax in enumerate(axs.flatten()):\n",
" if game_index >= boards.shape[0]:\n",
" fig.delaxes(ax)\n",
" else:\n",
" action = actions[game_index] if actions is not None else None\n",
" score = scores[game_index] if scores is not None else None\n",
" plot_othello_board(boards[game_index], action=action, score=score, ax=ax)\n",
" plt.tight_layout()\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"def drop_duplicate_boards(\n",
" boards: np.ndarray,\n",
" actions: np.ndarray | None,\n",
") -> tuple[np.ndarray, np.ndarray | None]:\n",
" \"\"\"Takes a sequence of boards and drops all boards that are unchanged.\n",
"\n",
" Args:\n",
" boards: A list of boards to be reduced.\n",
" actions: A list of actions to be reduced alongside the bords.\n",
"\n",
" Returns:\n",
" A sequence of boards where boards that where equal are dropped.\n",
" \"\"\"\n",
" non_duplicates = ~np.all(boards == np.roll(boards, axis=0, shift=1), axis=(1, 2))\n",
" return (\n",
" boards[non_duplicates],\n",
" np.roll(actions, axis=0, shift=1)[non_duplicates]\n",
" if actions is not None\n",
" else None,\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Hash Otello Boards\n",
"\n",
"A challenge for training any reinforcement learning algorithm is how to properly calibrate the exploration rate.\n",
"To make huge numbers of boards comparable it is easier to work with hashes than with the acutal boards. For that purpose a functionalty to hash a board and a stack of boards was added."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"def hash_board(board: np.ndarray) -> int:\n",
" assert board.shape == (8, 8) or board.shape == (64,)\n",
" return hash(tuple(board.reshape(-1)))\n",
"\n",
"\n",
"def count_unique_boards(boards: np.ndarray) -> int:\n",
" return np.unique(\n",
" np.apply_along_axis(hash_board, axis=1, arr=boards.reshape(-1, 64))\n",
" ).size\n",
"\n",
"\n",
"a = count_unique_boards(np.random.randint(-1, 2, size=(10_000, 8, 8)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Find possible actions to take\n",
"\n",
"The frist step in the implementation of an AI like this is to get an overview over the possible actions that can be taken in a situation.\n",
"Here was the design choice taken to first find fields that are empty and have at least one neighbouring enemy stone.\n",
"This was implemented with element wise check for a stone and a binary dilation marking all fields neighboring an enemy stone.\n",
"For that the `SURROUNDING` mask was used. Both aries are then element wise combined using and.\n",
"The resulting array contains all filed where a turn could potentially be made. Those are then check in detail.\n",
"The previous element wise operations on the numpy array increase the spead for this operation dramatically.\n",
"\n",
"The check for a possible turn is done in detail by following each direction step by step as long as there are enemy stones in that direction.\n",
"If the board end is reached or en empty filed before reaching a field occupied by the player that direction does not surround enemy stones.\n",
"If one direction surrounds enemy stone a turn is possible.\n",
"This detailed step is implemented as a recursion and need to go at leas one step to return True."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"array([[[1, 1, 1],\n",
" [1, 0, 1],\n",
" [1, 1, 1]]])"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SURROUNDING: Final = np.array(\n",
" [[[1, 1, 1], [1, 0, 1], [1, 1, 1]]]\n",
") # defines the binary dilation mask to check if a field is next to an enemy stones\n",
"SURROUNDING"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To make the computation of this game more feasable the `lru_cache` decorater was used. LRU uses a hash of the arguments to looke up and return a prevusly calculated result of a computationaly heavy operation. For this a code snippet was modified. Numpy arrays are mutable and unhashable. So the decorater was layed into a converion to tuples, use of the caching layer and the back conversion to numpy arrays.\n",
"Those then are converted back into numpy arrays. This reduces the calculation time to 30% of what it is without when calculating possible actions to take."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# Source https://gist.github.com/Susensio/61f4fee01150caaac1e10fc5f005eb75\n",
"def np_cache(*lru_args, array_argument_elements: tuple[int, ...] = (0,), **lru_kwargs):\n",
" \"\"\"\n",
" LRU cache implementation for functions whose parameter at ``array_argument_index`` is a numpy array of dimensions <= 2\n",
"\n",
" Example:\n",
" >>> from sem_env.utils.cache import np_cache\n",
" >>> array = np.array([[1, 2, 3], [4, 5, 6]])\n",
" >>> @np_cache(maxsize=256)\n",
" ... def multiply(array, factor):\n",
" ... return factor * array\n",
" >>> multiply(array, 2)\n",
" >>> multiply(array, 2)\n",
" >>> multiply.cache_info()\n",
" CacheInfo(hits=1, misses=1, maxsize=256, currsize=1)\n",
" \"\"\"\n",
"\n",
" def decorator(function):\n",
" @wraps(function)\n",
" def wrapper(*args, **kwargs):\n",
" args = list(args)\n",
" for array_argument_index in array_argument_elements:\n",
" np_array = args[array_argument_index]\n",
" if len(np_array.shape) > 2:\n",
" raise RuntimeError(\n",
" f\"np_cache is currently only supported for arrays of dim. less than 3 but got shape: {np_array.shape}\"\n",
" )\n",
" hashable_array = tuple(np_array.reshape(-1))\n",
"\n",
" args[array_argument_index] = hashable_array\n",
" return cached_wrapper(*args, **kwargs)\n",
"\n",
" @lru_cache(*lru_args, **lru_kwargs)\n",
" def cached_wrapper(*args, **kwargs):\n",
" args = list(args)\n",
" for array_argument_index in array_argument_elements:\n",
" hashable_array = args[array_argument_index]\n",
" array = np.array(hashable_array).reshape(8, 8)\n",
" args[array_argument_index] = array\n",
" return function(*args, **kwargs)\n",
"\n",
" # copy lru_cache attributes over too\n",
" wrapper.cache_info = cached_wrapper.cache_info\n",
" wrapper.cache_clear = cached_wrapper.cache_clear\n",
" return wrapper\n",
"\n",
" return decorator"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"175 µs ± 9.12 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n"
]
},
{
"data": {
"text/plain": [
"array([[[False, False, False, False, False, False, False, False],\n",
" [False, False, False, False, False, False, False, False],\n",
" [False, False, False, True, False, False, False, False],\n",
" [False, False, True, False, False, False, False, False],\n",
" [False, False, False, False, False, True, False, False],\n",
" [False, False, False, False, True, False, False, False],\n",
" [False, False, False, False, False, False, False, False],\n",
" [False, False, False, False, False, False, False, False]]])"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def _recursive_steps(\n",
" board: np.ndarray,\n",
" rec_direction: np.ndarray,\n",
" rec_position: np.ndarray,\n",
" step_one: int = 0,\n",
") -> int:\n",
" \"\"\"Check if a player can place a stone on the board specified in the direction specified and direction specified.\n",
"\n",
" Args:\n",
" board: The board that should be checked for a playable action.\n",
" rec_direction: The direction that should be checked.\n",
" rec_position: The position that should be checked.\n",
" step_one: Defines if the call of this function is the firs or not. Should be kept to the default value for proper functionality.\n",
"\n",
" Returns:\n",
" True if a turn is possible for possition and direction on the board defined.\n",
" \"\"\"\n",
" rec_position = rec_position + rec_direction\n",
" if np.any((rec_position >= BOARD_SIZE) | (rec_position < 0)):\n",
" return 0\n",
" next_field = board[tuple(rec_position.tolist())]\n",
" if next_field == 0:\n",
" return 0\n",
" if next_field == -1:\n",
" return _recursive_steps(\n",
" board, rec_direction, rec_position, step_one=step_one + 1\n",
" )\n",
" if next_field == 1:\n",
" return step_one\n",
"\n",
"\n",
"@np_cache(maxsize=2000, array_argument_elements=(0, 1))\n",
"def _get_possible_turns_for_board(\n",
" board: np.ndarray, poss_turns: np.ndarray\n",
") -> np.ndarray:\n",
" \"\"\"Calcualtes where turns are possible.\n",
"\n",
" Args:\n",
" board: The board that should be checked for a playable action.\n",
" poss_turns: An array of actions that could be possible. All true fileds are empty and next to an enemy stone.\n",
" \"\"\"\n",
" for idx, idy in itertools.product(range(BOARD_SIZE), range(BOARD_SIZE)):\n",
" if poss_turns[idx, idy]:\n",
" position = idx, idy\n",
" poss_turns[idx, idy] = any(\n",
" _recursive_steps(board[:, :], direction, position) > 0\n",
" for direction in DIRECTIONS\n",
" )\n",
" return poss_turns\n",
"\n",
"\n",
"def get_possible_turns(boards: np.ndarray, tqdm_on: bool = False) -> np.ndarray:\n",
" \"\"\"Analyses a stack of boards.\n",
"\n",
" Args:\n",
" boards: A stack of boards to check.\n",
" tqdm_on: Uses tqdm to track the progress.\n",
"\n",
" Returns:\n",
" A stack of game boards containing boolean values showing where turns are possible for the player.\n",
" \"\"\"\n",
" assert len(boards.shape) == 3, \"The number fo input dimensions does not fit.\"\n",
" assert boards.shape[1:] == (\n",
" BOARD_SIZE,\n",
" BOARD_SIZE,\n",
" ), \"The input dimensions do not fit.\"\n",
"\n",
" poss_turns = boards == 0 # checks where fields are empty.\n",
" poss_turns &= binary_dilation(\n",
" boards == -1, SURROUNDING\n",
" ) # checks where fields are next to an enemy filed an empty\n",
" iterate_over = range(boards.shape[0])\n",
"\n",
" if tqdm_on:\n",
" iterate_over = tqdm(iterate_over, total=np.prod(boards.shape))\n",
" for game in iterate_over:\n",
" poss_turns[game] = _get_possible_turns_for_board(boards[game], poss_turns[game])\n",
" return poss_turns\n",
"\n",
"\n",
"# some simple testing to ensure the function works after simple changes\n",
"# this testing is complete, its more of a smoke-test\n",
"test_array = get_new_games(3)\n",
"expected_result = np.zeros_like(test_array, dtype=bool)\n",
"expected_result[:, 4, 5] = expected_result[:, 2, 3] = True\n",
"expected_result[:, 5, 4] = expected_result[:, 3, 2] = True\n",
"np.testing.assert_equal(get_possible_turns(test_array), expected_result)\n",
"\n",
"\n",
"%timeit get_possible_turns(get_new_games(10)) # checks turn possibility evaluation time for 10 initial games\n",
"# %timeit get_possible_turns(get_new_games(EXAMPLE_STACK_SIZE)) # check turn possibility evaluation time for EXAMPLE_STACK_SIZE initial games\n",
"\n",
"# shows a singe game\n",
"get_possible_turns(get_new_games(3))[:1]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Besides the ability to generate an array of possible turns there needs to be a functions that check if a given turn is possible.\n",
"On is needed for the action space validation. The other is for validating a players turn."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"def move_possible(board: np.ndarray, move: np.ndarray) -> bool:\n",
" \"\"\"Checks if a turn is possible.\n",
"\n",
" Checks if a turn is possible. If no turn is possible to input array [-1, -1] is expected.\n",
"\n",
" Args:\n",
" board: A board where it should be checkt if a turn is possible.\n",
" move: The move that should be taken. Expected is the index of the filed where a stone should be placed [x, y]. If no placement is possible [-1, -1] is expected as an input.\n",
"\n",
" Returns:\n",
" True if the move is possible\n",
" \"\"\"\n",
" if np.all(move == -1):\n",
" return not np.any(get_possible_turns(np.reshape(board, (1, 8, 8))))\n",
" return any(\n",
" _recursive_steps(board[:, :], direction, move) > 0 for direction in DIRECTIONS\n",
" )\n",
"\n",
"\n",
"# Some testing for this function and the underlying recursive functions that are called.\n",
"assert move_possible(get_new_games(1)[0], np.array([2, 3])) is True\n",
"assert move_possible(get_new_games(1)[0], np.array([3, 2])) is True\n",
"assert move_possible(get_new_games(1)[0], np.array([2, 2])) is False\n",
"assert move_possible(np.zeros((8, 8)), np.array([3, 2])) is False\n",
"assert move_possible(np.ones((8, 8)) * 1, np.array([-1, -1])) is True\n",
"assert move_possible(np.ones((8, 8)) * -1, np.array([-1, -1])) is True\n",
"assert move_possible(np.ones((8, 8)) * 0, np.array([-1, -1])) is True"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"def moves_possible(boards: np.ndarray, moves: np.ndarray) -> np.ndarray:\n",
" \"\"\"Checks if a stack of moves can be executed on a stack of boards.\n",
"\n",
" Args:\n",
" boards: A board where the next stone should be placed.\n",
" moves: A stack stones to be placed. Each move is formatted as an array in the form of [x, y] if no turn is possible the value [-1, -1] is expected.\n",
"\n",
" Returns:\n",
" An array marking for each and every game and move in the stack if the move can be executed.\n",
" \"\"\"\n",
" arr_moves_possible = np.zeros(boards.shape[0], dtype=bool)\n",
" for game in range(boards.shape[0]):\n",
" if np.all(\n",
" moves[game] == -1\n",
" ): # can be all or any. All should be faster since most times neither value will be -1.\n",
" arr_moves_possible[game] = not np.any(\n",
" get_possible_turns(np.reshape(boards[game], (1, 8, 8)))\n",
" )\n",
" else:\n",
" arr_moves_possible[game] = any(\n",
" _recursive_steps(boards[game, :, :], direction, moves[game]) > 0\n",
" for direction in DIRECTIONS\n",
" )\n",
" return arr_moves_possible\n",
"\n",
"\n",
"np.testing.assert_array_equal(\n",
" moves_possible(np.ones((3, 8, 8)) * 1, np.array([[-1, -1]] * 3)),\n",
" np.array([True] * 3),\n",
")\n",
"\n",
"np.testing.assert_array_equal(\n",
" moves_possible(get_new_games(3), np.array([[2, 3], [3, 2], [3, 2]])),\n",
" np.array([True] * 3),\n",
")\n",
"np.testing.assert_array_equal(\n",
" moves_possible(get_new_games(3), np.array([[2, 2], [1, 1], [0, 0]])),\n",
" np.array([False] * 3),\n",
")\n",
"np.testing.assert_array_equal(\n",
" moves_possible(np.ones((3, 8, 8)) * -1, np.array([[-1, -1]] * 3)),\n",
" np.array([True] * 3),\n",
")\n",
"np.testing.assert_array_equal(\n",
" moves_possible(np.zeros((3, 8, 8)), np.array([[-1, -1]] * 3)),\n",
" np.array([True] * 3),\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Execute a chosen action\n",
"\n",
"After an evaluation what turns are possible there needs to be a function that executes a turn.\n",
"This next sections does that."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"class InvalidTurn(ValueError):\n",
" \"\"\"\n",
" This error is thrown if a given turn is not valid.\n",
" \"\"\""
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"104 ms ± 3.72 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def do_moves(boards: np.ndarray, moves: np.ndarray) -> np.ndarray:\n",
" \"\"\"Executes a single move on a stack o Othello boards.\n",
"\n",
" Args:\n",
" boards: A stack of Othello boards where the next stone should be placed.\n",
" moves: A stack of stone placement orders for the game. Formatted as coordinates in an array [x, y] of the place where the stone should be placed. Should contain [-1,-1] if no new placement is possible.\n",
"\n",
" Returns:\n",
" The new state of the board.\n",
" \"\"\"\n",
"\n",
" def _do_directional_move(\n",
" board: np.ndarray, rec_move: np.ndarray, rev_direction, step_one=True\n",
" ) -> bool:\n",
" \"\"\"Changes the color of enemy stones in one direction.\n",
"\n",
" This function works recursive. The argument step_one should always be used in its default value.\n",
"\n",
" Args:\n",
" board: A bord on which a stone was placed.\n",
" rec_move: The position on the board in x and y where this function is called from. Will be moved by recursive called.\n",
" rev_direction: The position where the stone was placed. Inside this recursion it will also be the last step that was checked.\n",
" step_one: Set to true if this is the first step in the recursion. False later on.\n",
"\n",
" Returns:\n",
" True if a stone could be flipped.\n",
" All changes are made on the view of the numpy array and therefore not included in the return value.\n",
" \"\"\"\n",
" rec_position = rec_move + rev_direction\n",
" if np.any((rec_position >= 8) | (rec_position < 0)):\n",
" return False\n",
" next_field = board[tuple(rec_position.tolist())]\n",
" if next_field == 0:\n",
" return False\n",
" if next_field == 1:\n",
" return not step_one\n",
" if next_field == -1:\n",
" if _do_directional_move(board, rec_position, rev_direction, step_one=False):\n",
" board[tuple(rec_position.tolist())] = 1\n",
" return True\n",
" return False\n",
"\n",
" def _do_move(_board: np.ndarray, move: np.ndarray) -> None:\n",
" \"\"\"Executes a turn on a board.\n",
"\n",
" Args:\n",
" _board: The game board on wich to place a stone.\n",
" move: The coordinates of a stone that should be placed. Should be formatted as an array of the form [x, y]. The value [-1, -1] is expected if no turn is possible.\n",
"\n",
" Returns:\n",
" All changes are made on the view of the numpy array.\n",
" \"\"\"\n",
" if np.all(move == -1):\n",
" if not move_possible(_board, move):\n",
" raise InvalidTurn(\"An action should be taken. A turn is possible.\")\n",
" return\n",
"\n",
" # noinspection PyTypeChecker\n",
" if _board[tuple(move.tolist())] != 0:\n",
" raise InvalidTurn(\"This turn is not possible.\")\n",
"\n",
" action = False\n",
" for direction in DIRECTIONS:\n",
" if _do_directional_move(_board, move, direction):\n",
" action = True\n",
" if not action:\n",
" raise InvalidTurn(\"This turn is not possible.\")\n",
"\n",
" # noinspection PyTypeChecker\n",
" _board[tuple(move.tolist())] = 1\n",
"\n",
" boards = boards.copy()\n",
" for game in range(boards.shape[0]):\n",
" _do_move(boards[game], moves[game])\n",
" return boards\n",
"\n",
"\n",
"%timeit do_moves(get_new_games(EXAMPLE_STACK_SIZE), np.array([[2, 3]] * EXAMPLE_STACK_SIZE))[0]\n",
"\n",
"plot_othello_board(\n",
" do_moves(\n",
" get_new_games(EXAMPLE_STACK_SIZE), np.array([[2, 3]] * EXAMPLE_STACK_SIZE)\n",
" )[0],\n",
" action=np.array([2, 3]),\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## An abstract reversi game policy\n",
"\n",
"For an easy use of policies an abstract class containing the policy generation / requests an action in an inherited instance of this class.\n",
"This class filters the policy to only propose valid actions. Inherited instance do not need to care about this. This super class also manges exploration and exploitation with the epsilon value."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"class GamePolicy(ABC):\n",
" \"\"\"\n",
" A game policy. Proposes where to place a stone next.\n",
" \"\"\"\n",
"\n",
" def __init__(self, epsilon: float):\n",
" \"\"\"\n",
"\n",
" Args:\n",
" epsilon: the epsilon / greedy value. Should be between zero and one. Set the mixture of policy and exploration. One means only the policy is used. Zero means only random policies are used. All mixtures inbetween between are possible.\n",
" \"\"\"\n",
" if 0 > epsilon > 1:\n",
" raise ValueError(\"Epsilon should be between zero and one.\")\n",
" self._epsilon: float = epsilon\n",
"\n",
" @property\n",
" def epsilon(self):\n",
" return self._epsilon\n",
"\n",
" @property\n",
" @abc.abstractmethod\n",
" def policy_name(self) -> str:\n",
" \"\"\"The name of this policy\"\"\"\n",
" raise NotImplementedError()\n",
"\n",
" @abc.abstractmethod\n",
" def _internal_policy(self, boards: np.ndarray) -> np.ndarray:\n",
" \"\"\"The internal policy is an unfiltered policy. It should only be called from inside this function\n",
"\n",
" Args:\n",
" boards: A board where a policy should be calculated for.\n",
"\n",
" Returns:\n",
" The policy for this board. Should have the same size as the boards array.\n",
" \"\"\"\n",
" raise NotImplementedError()\n",
"\n",
" def get_policy(self, boards: np.ndarray) -> np.ndarray:\n",
" \"\"\"Calculates the policy that should be followed.\n",
"\n",
" Calculates the policy that should be followed.\n",
" This function does include the usage of epsilon to configure greediness and exploration.\n",
"\n",
" Args:\n",
" boards: A set of boards that show the environment where the policy should be calculated for.\n",
"\n",
" Returns:\n",
" A vector of indices. Should be formatted as an array of the form [x, y]. The value [-1, -1] is expected if no turn is possible.\n",
" \"\"\"\n",
" assert len(boards.shape) == 3\n",
" assert boards.shape[1:] == (BOARD_SIZE, BOARD_SIZE)\n",
"\n",
" if self.epsilon <= 0:\n",
" policies = np.random.rand(*boards.shape)\n",
" else:\n",
" policies = self._internal_policy(boards)\n",
" if self.epsilon < 1:\n",
" random_choices = self.epsilon <= np.random.rand((boards.shape[0]))\n",
" policies[random_choices] = np.random.rand(np.sum(random_choices), 8, 8)\n",
"\n",
" # todo possibly change this function to only validate the purpose turn and not all turns\n",
" possible_turns = get_possible_turns(boards)\n",
" policies[possible_turns == False] = -1.0\n",
" max_indices = [\n",
" np.unravel_index(policy.argmax(), policy.shape) for policy in policies\n",
" ]\n",
" policy_vector = np.array(max_indices, dtype=int)\n",
" no_turn_possible = np.all(policy_vector == 0, 1) & (policies[:, 0, 0] == -1.0)\n",
"\n",
" policy_vector[no_turn_possible, :] = IMPOSSIBLE\n",
" return policy_vector"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Some first policies\n",
"\n",
"To quantify the quality of a game AI there needs to be some benchmarks.\n",
"The easiest benchmark is to play against a random player.\n",
"The easiest player to use as a benchmark is the random player.\n",
"For this and testing purpose the random policy was implemented."
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"class RandomPolicy(GamePolicy):\n",
" \"\"\"\n",
" A policy playing a random turn by setting epsilon to 0.\n",
" \"\"\"\n",
"\n",
" def __init__(self, epsilon: float = 0):\n",
" _ = epsilon\n",
" super().__init__(epsilon=0)\n",
"\n",
" @property\n",
" def policy_name(self) -> str:\n",
" return \"random\"\n",
"\n",
" def _internal_policy(self, boards: np.ndarray) -> np.ndarray:\n",
" pass\n",
"\n",
"\n",
"rnd_policy = RandomPolicy(1)\n",
"assert rnd_policy.policy_name == \"random\"\n",
"assert rnd_policy.epsilon == 0\n",
"\n",
"rnd_policy_result = rnd_policy.get_policy(get_new_games(10))\n",
"assert np.any((5 >= rnd_policy_result) & (rnd_policy_result >= 3))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"An alternative benchmark policy is a greedy policy that takes always the maximum number of stones possible."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"class GreedyPolicy(GamePolicy):\n",
" \"\"\"\n",
" A policy playing always one of the strongest turns.\n",
" \"\"\"\n",
"\n",
" def __init__(self, epsilon: float = 1):\n",
" _ = epsilon\n",
" super().__init__(1)\n",
"\n",
" @property\n",
" def policy_name(self) -> str:\n",
" return \"greedy_policy\"\n",
"\n",
" def _internal_policy(self, boards: np.ndarray) -> np.ndarray:\n",
" policies = np.random.rand(*boards.shape)\n",
" poss_turns = boards == 0 # checks where fields are empty.\n",
" poss_turns &= binary_dilation(boards == -1, SURROUNDING)\n",
" for game, idx, idy in itertools.product(\n",
" range(boards.shape[0]), range(BOARD_SIZE), range(BOARD_SIZE)\n",
" ):\n",
"\n",
" if poss_turns[game, idx, idy]:\n",
" position = idx, idy\n",
" policies[game, idx, idy] += np.sum(\n",
" np.array(\n",
" list(\n",
" _recursive_steps(boards[game, :, :], direction, position)\n",
" for direction in DIRECTIONS\n",
" )\n",
" )\n",
" )\n",
" return policies"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Putting the game simulation together\n",
"Now it's time to bring all together for a proper simulation."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Playing a single turn\n",
"\n",
"The next function needed is used to request a policy, verify that the turn is legit and place a stone and turn enemy stones if possible."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"def single_turn(\n",
" current_boards: np, policy: GamePolicy\n",
") -> tuple[np.ndarray, np.ndarray]:\n",
" \"\"\"Execute a single turn on a board.\n",
"\n",
" Places a new stone on the board. Turns captured enemy stones.\n",
"\n",
" Args:\n",
" current_boards: The current board before the game.\n",
" policy: The game policy to be used.\n",
"\n",
" Returns:\n",
" The new game board and the policy vector containing the index of the action used.\n",
" \"\"\"\n",
" policy_results = policy.get_policy(current_boards)\n",
"\n",
" # if the constant VERIFY_POLICY is set to true the policy is verified. Should be good though.\n",
" # todo deactivate the policy verification after some testing.\n",
" if VERIFY_POLICY:\n",
" assert np.all(moves_possible(current_boards, policy_results)), (\n",
" current_boards[(moves_possible(current_boards, policy_results) == False)],\n",
" policy_results[(moves_possible(current_boards, policy_results) == False)],\n",
" np.where(moves_possible(current_boards, policy_results) == False),\n",
" )\n",
" return do_moves(current_boards, policy_results), policy_results"
]
},
{
"cell_type": "raw",
"metadata": {},
"source": [
"%timeit single_turn(get_new_games(EXAMPLE_STACK_SIZE), RandomPolicy(1))\n",
"VERIFY_POLICY = False # type: ignore\n",
"%timeit single_turn(get_new_games(EXAMPLE_STACK_SIZE), RandomPolicy(1))\n",
"VERIFY_POLICY = True # type: ignore\n",
"_turn_result = single_turn(get_new_games(EXAMPLE_STACK_SIZE), RandomPolicy(1))\n",
"plot_othello_boards(_turn_result[0][:8], _turn_result[1][:8])\n",
"del _turn_result"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Simulate a stack of games\n",
"This function will simulate a stack of games and return an array of policies and histories.\n",
"\n",
"This will return an arrays with the size of (70 x n x 8 x 8) and (70 x n x 2).\n",
"The first will contain the boards. The second will contain the actions. If no action is taken the action will be noted as played in (-1, -1)."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"def simulate_game(\n",
" nr_of_games: int,\n",
" policies: tuple[GamePolicy, GamePolicy],\n",
" tqdm_on: bool = False,\n",
") -> tuple[np.ndarray, np.ndarray]:\n",
" \"\"\"Simulates a stack of games.\n",
"\n",
" Args:\n",
" nr_of_games: The number of games that should be simulated.\n",
" policies: The policies that should be used to simulate the game.\n",
" tqdm_on: Switches tqdm on.\n",
"\n",
" Returns:\n",
" A stack of board histories and actions.\n",
" \"\"\"\n",
" board_history_stack = np.zeros((SIMULATE_TURNS, nr_of_games, 8, 8), dtype=np.int8)\n",
" action_history_stack = np.zeros((SIMULATE_TURNS, nr_of_games, 2), dtype=np.int8)\n",
" current_boards = get_new_games(nr_of_games)\n",
" for turn_index in tqdm(range(SIMULATE_TURNS)) if tqdm_on else range(SIMULATE_TURNS):\n",
" policy_index = turn_index % 2\n",
" policy = policies[policy_index]\n",
" board_history_stack[turn_index, :, :, :] = current_boards\n",
" if policy_index == 1:\n",
" current_boards *= -1\n",
" current_boards, action_taken = single_turn(current_boards, policy)\n",
" action_history_stack[turn_index, :] = action_taken\n",
"\n",
" if policy_index == 1:\n",
" current_boards *= -1\n",
"\n",
" return board_history_stack, action_history_stack"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The first thing to do now is try out how the player act."
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": []
},
"source": [
"## Simulating games\n",
"\n",
"Since now a simulator, a tool for visualisation and two policies exist a few games need to be simulated to verify proper function off all three elements.\n",
"\n",
"### Random vs. random policy\n",
"First there is a simulation of a game between two random polices."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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cRT8BcBX9BMCmuBel4hUKhRQKhZr+XVlZmeqRABAT+gmAq+gnAK6inwAkU8ovdD5r1ix169at6aukpCTVIwEgJvQTAFfRTwBcRT8BSKaUL0rNnDlTFRUVTV87duxI9UgAiAn9BMBV9BMAV9FPAJIp5W/fCwaDCgaDqR4DAHGjnwC4in4C4Cr6CUAypfxMKQAAAAAAAKCluM+Uqqqq0pYtW5r+vXXrVq1Zs0Y9evTQwIEDkxoOAOJBPwFwFf0EwFX0EwCb4l6UeuONNzR+/Pimf//4xz+WJE2ZMkXz5s1LWjAAiBf9BMBV9BMAV9FPAGyKe1Hq7LPPljEmFVkAoFPoJwCuop8AuIp+AmAT15QCAAAAAACA51iUAgAAAAAAgOdYlAIAAAAAAIDnWJQCAAAAAACA51iUAgAAAAAAgOdYlAIAAAAAAIDnWJQCAAAAAACA53zGGOPlwMrKSnXr1i06PC/Ly9GSJPNZg2Qk+SRfV+/nk4EMrmWwPV+STHWDJKmiokKFhYVWMkj2+0lyZHvwmiQDGZpncKCj6CcyuDKfDI5loJ8kObItyEAGR+Y7kyHGfrKT7nONIe0MtzyfDGRwLYPt+Y6x/ly4sD1sZ7A9nwxkcJT158GFbUEG+/PJ4FYGR1h/HlzYFmQggyvzXcnQAauLUpwpRQYy2M9ge77kZlHylz57GWzPJwMZWmVwrKPop8zOYHs+GRzLQD9JcmRbkIEMjsx3JkOM/WRvUaprQIVTh3o+tnLeFpnqBvm6ZlmZTwYyuJbB9nxJqpi7WfosbGV2myz1k+TG9rCdwfZ8MpChJac6in7K+Ay255PBrQz0U5QL24IMZHBlvisZYu0nLnQOAAAAAAAAz7EoBQAAAAAAAM+xKAUAAAAAAADPWb3QORIT3lur8P46qT4iZfsV6J6jQO9c27EAgH4C4Cz6CYCr6CdkMhal0oRpiKh+c6VC6/Yrsi/U6uf+XkEFS7sre1ihfFmcAAfAO/QTAFfRTwBcRT8BUSxKpYFweZ2qF2+XOdD+RypG9oVUs3S3alftU96lAxUoyvEwIYBMRT8BcBX9BMBV9BNwEEuujguX16lq4TaZqvYL61CmqkFVC7cpXF6X4mQAMh39BMBV9BMAV9FPQHMsSjnMNERUvXi7VBeRTKx3klQXvZ9piKQyHoAMRj8BcBX9BMBV9BPQWlyLUrNmzdLJJ5+sgoIC9enTR5dffrk2bdqUqmwZr35zZfSUzlgLq5GRzIEG1W+uTEkuwEX0k7foJyA+dJR36CcgPvSTd+gnoLW4FqVefvllTZ8+XStWrNDzzz+v+vp6nXfeeaqurk5VvowWWrff6v2BdEI/eYt+AuJDR3mHfgLiQz95h34CWovrQudLlixp9u958+apT58+Wr16tc4666ykBst04b21bX4KQzwi+0IK763l40SREegn79BPQPzoKG/QT0D86Cdv0E9A2zr16XsVFRWSpB49erR7m1AopFDo4M5XWckph7EI70/OhezC5XWUFjIS/ZQ69BPQeR11FP2UGPoJ6Dz6KTXoJ6BtCV/oPBKJ6Ec/+pHGjh2r448/vt3bzZo1S926dWv6KikpSXRkZqlP0kXs6rgYHjIP/ZRi9BPQKbF0FP2UIPoJ6BT6KYXoJ6BNCS9KTZ8+XW+//bYWLFhw2NvNnDlTFRUVTV87duxIdGRmyU7SByPm8AGLyDz0U4rRT0CnxNJR9FOC6CegU+inFKKfgDYl9Pa9GTNm6Omnn9Yrr7yiAQMGHPa2wWBQwWAwoXCZLNA9JzmPU5ScxwHSBf2UevQTkLhYO4p+Sgz9BCSOfkot+gloW1zLrMYYzZgxQ08++aSWLl2qIUOGpCpXxgv0zpW/V+fK3t8ryPuNkTHoJ+/QT0D86Chv0E9A/Ognb9BPQNviWpSaPn265s+fr8cee0wFBQXavXu3du/erZqamlTly2jB0u5W7w+kE/rJW/QTEB86yjv0ExAf+sk79BPQWlyLUvfdd58qKip09tlnq1+/fk1fjz/+eKryZbTsYYXyFWRJvjjv6JN8BVnKHlaYklyAi+gnb9FPQHzoKO/QT0B86Cfv0E9Aa3FdU8oYk6ocaIMvy6+8SweqauG26KcsxPL0+yTlRO/ny+IieMgc9JO36CcgPnSUd+gnID70k3foJ6A1XtWOCxTlKP/KwfLlx7Z+6MvPUv6Vg7kAHoCUo58AuIp+AuAq+gloLqFP34O3AkU5KvjW0arfXKnQuv2K7Au1uo2/V1DB0u7RU0JZQQfgEfoJgKvoJwCuop+Ag1iUShO+LL9yRhUpZ1SRwntrFS6vi57ymeNXoCiHT2EAYA39BMBV9BMAV9FPQBSLUmko0DuXkgLgJPoJgKvoJwCuop+QyTgPEAAAAAAAAJ5jUQoAAAAAAACeY1EKAAAAAAAAnvMZY4yXAysrK9WtW7fo8DzvL2llPmuQjCSf5Otq55JaZCCDSxlsz5ckU90gSaqoqFBhYaGVDJL9fpIc2R68JslAhuYZHOgo+okMrswng2MZ6CdJjmwLMpDBkfnOZIixn6xe6LwxpJ3hlueTgQyuZbA93zHWnwsXtoftDLbnk4EMjrL+PLiwLchgfz4Z3MrgCOvPgwvbggxkcGW+Kxk6YHVRijOlyEAG+xlsz5fcLEr+0mcvg+35ZCBDqwyOdRT9lNkZbM8ng2MZ6CdJjmwLMpDBkfnOZIixn+wtSnUNqHDqUM/HVs7bIlPdIF/XLCvzyUAG1zLYni9JFXM3S5+Frcxuk6V+ktzYHrYz2J5PBjK05FRH0U8Zn8H2fDK4lYF+inJhW5CBDK7MdyVDrP3Ehc4BAAAAAADgORalAAAAAAAA4DkWpQAAAAAAAOA5qxc6R2LCe2sV3l8n1UekbL8C3XMU6J1rO5anSgeM0rC+Q5Sfm6eq2mpt3rNV63Zu8DQD2wFojf0iynZHsR2A1tgvomz3k8S2AFpin4iinzITi1JpwjREVL+5UqF1+xXZF2r1c3+voIKl3ZU9rFC+rCPzBLjc7KCuGHOhpo2brNElx7b6+dod7+r+l+dr0epnVFvf+jlKBrYD0Br7RZTtjmI7AK2xX0TZ7ieJbQG0xD4RRT+BRak0EC6vU/Xi7TIH2v9Ixci+kGqW7lbtqn3Ku3SgAkU5HiZMvWP6DNaT0x9USY9iRUykzdsc33+EZk+6XTdPnK7LZ1+jD/Z+mNQMbAegNfaLKNsdxXYAWmO/iLLdTxLbAmiJfSKKfoLENaWcFy6vU9XCbTJV7e8khzJVDapauE3h8roUJ/POMX0G64WfLFBxUV/5fD4F/IE2bxfwB+Tz+VRc1Fcv3vS4ju49KGkZ2A5Aa+wXUbY7iu0AtMZ+EWW7nyS2BdAS+0QU/YRGLEo5zDREVL14u1QXkUysd5JUF72faWh7tTmd5GYH9eT0B1UQzFNWILYT+7ICWSoI5umpGQ8pNzvY6QxsB6A19oso2x3FdgBaY7+Ist1PEtsCaIl9Iop+wqHiWpS67777VFpaqsLCQhUWFur000/Xs88+m6psGa9+c2X0NMJYd5JGRjIHGlS/uTIlubx0xZgLVdKjOOayapQVyNLAnv311ZMmdjoD2yE90E/eYr+Ist1RbIf0QUd5h/0iynY/SWyLdEE/eYd9Iop+wqHiWpQaMGCA7rjjDq1evVpvvPGGJkyYoMsuu0zvvPNOqvJltNC6/Vbv74Jp4ya3+/7ijoQjYU0bN7nTGdgO6YF+8hb7RZTtjmI7pA86yjvsF1G2+0liW6QL+sk77BNR9BMOFdei1CWXXKILL7xQw4YN0/Dhw3X77bcrPz9fK1asSFW+jBXeW9vmlf/jEdkXUnhvbZISea90wCiNLjm23fcXdyTgD+iEgcepdMCohDOwHdIH/eQd9oso2x3FdkgvdJQ32C+ibPeTxLZIJ/STN9gnougntJTwNaXC4bAWLFig6upqnX766e3eLhQKqbKystkXOhben5yLp6XzRdiG9R2SlMcZ2onHYTukJ/optdgvomx3FNshfcXSUfRTYtgvomz3k8S2SFf0U+qwT0TRT2gp7kWp9evXKz8/X8FgUNdee62efPJJHXvsse3eftasWerWrVvTV0lJSacCZ4z6JF04rS59L8CWn5uXlMcp6MzjsB3SCv3kEfYLSQ50FNsh7cTTUfRTgtgvJDnQTxLbIs3QTx5gn5BEP6G1uBelRowYoTVr1mjlypX6wQ9+oClTpujdd99t9/YzZ85URUVF09eOHTs6FThjZCfpgxFz0vcDFqtqq5PyOAc68zhsh7RCP3mE/UKSAx3Fdkg78XQU/ZQg9gtJDvSTxLZIM/STB9gnJNFPaC2+y91LysnJ0dChQyVJY8aM0apVq/SHP/xBf/zjH9u8fTAYVDDY+Y9szDSB7jnJeZyi5DyODZv3bE3O4+z+IOH7sh3SC/3kDfaLKNsdxXZIP/F0FP2UGPaLKNv9JLEt0g39lHrsE1H0E1rq9NJeJBJRKNS5i4ShtUDvXPl7da7s/b2CCvTOTVIi763buUFrd7yrcCSc0P3DkbDWbH9H6z/amHAGtkN6o59Sg/0iynZHsR3SHx2VfOwXUbb7SWJbpDv6KfnYJ6LoJ7QU16LUzJkz9corr2jbtm1av369Zs6cqZdeekmTJk1KVb6MFiztbvX+Lrj/5fny+xJbOw34A7r/5fmdzsB2SA/0k7fYL6JsdxTbIX3QUd5hv4iy3U8S2yJd0E/eYZ+Iop9wqLheCR9//LG+853vaMSIETrnnHO0atUqPffcczr33HNTlS+jZQ8rlK8gS/LFeUef5CvIUvawwpTk8tKi1c9ox6e71BBuiOt+DeEGbf/kIz3x5rOdzsB2SA/0k7fYL6JsdxTbIX3QUd5hv4iy3U8S2yJd0E/eYZ+Iop9wqLiuKfXQQw+lKgfa4MvyK+/SgapauC16ZX8Ty50k5UTv58tK/wuv1daH9JU539MLP1mggmCesgIdv2Qbwg06EKrW5bOvUW195087ZjukB/rJW+wXUbY7iu2QPugo77BfRNnuJ4ltkS7oJ++wT0TRTzgUz6TjAkU5yr9ysHz5sa0f+vKzlH/l4CPqomvvf7xN59x5lXaV75Gkdt9/3Pj9XeV7dM6dV+mDvR8mLQPbAWiN/SLKdkexHYDW2C+ibPeTxLYAWmKfiKKf0CjuT9+D9wJFOSr41tGq31yp0Lr9iuxrvTLs7xVUsLR79DTEI3DV9oO9H+qUX1+kr540UdPGTdYJA49rdZv1Ozfq/pfn64k3n03K6nlLbAegNfaLKNsdxXYAWmO/iLLdTxLbAmiJfSKKfoLEolTa8GX5lTOqSDmjihTeW6tweV30NMMcvwJFORlx5f/a+pAeW/mUHlv5lEoHjNLQvkNUkJunA7XV2rJnq9bt3JDyDGwHoDX2iyjbHcV2AFpjv4iy3U8S2wJoiX0iin4Ci1JpKNA7N+N3jHU7N3hSUIfDdgBaY7+Ist1RbAegNfaLKNv9JLEtgJbYJ6Lop8zEuWcAAAAAAADwHItSAAAAAAAA8ByLUgAAAAAAAPCczxhjvBxYWVmpbt26RYfneX9JK/NZg2Qk+SRfVzuX1CIDGVzKYHu+JJnqBklSRUWFCgsLrWSQ7PeT5Mj24DVJBjI0z+BAR9FPZHBlPhkcy0A/SXJkW5CBDI7MdyZDjP1k9ULnjSHtDLc8nwxkcC2D7fmOsf5cuLA9bGewPZ8MZHCU9efBhW1BBvvzyeBWBkdYfx5c2BZkIIMr813J0AGri1KcKUUGMtjPYHu+5GZR8pc+exlszycDGVplcKyj6KfMzmB7Phkcy0A/SXJkW5CBDI7MdyZDjP1kb1Gqa0CFU4d6PrZy3haZ6gb5umZZmU8GMriWwfZ8SaqYu1n6LGxldpss9ZPkxvawncH2fDKQoSWnOop+yvgMtueTwa0M9FOUC9uCDGRwZb4rGWLtJy50DgAAAAAAAM+xKJUgn7fXhweQJugGAABiw/9nAgCsXlMqnYzeW6tJG8p1+q4ajdgfUk5EqvNLm7oHtby4ix4dVaS1vXNtxwTgMboBAIDY8P+ZAICWWJTqwJDyOs1eWqaxZTWq90nZo0+Qzh0pFRQo58ABfWHjRo1cu0bT1pfrtX5dNGNCP20tyklpptIBozSs7xDl5+apqrZam/ds1bqdG1I607UM4b21Cu+vk+ojUrZfge45CnAQAw+17Ia3jbRI0gFJBRFp5CchfffTkKfd4MJ+QQZ3MgCHsv2atD2fDHYzuHg8DXdk6n7h0nwyHGT799xMxKLUYVz5XoXmLN2tQE5QmjpV2TfcIJ14YqvbZb/1lnT33Tr18QVasWCrrpvQT4uGFyY1S252UFeMuVDTxk3W6JJjW/187Y53df/L87Vo9TOqrQ8ldbYrGUxDRPWbKxVat1+Rfa0f398rqGBpd2UPK5Qvi3emInUau6EubDRX0t1GWtPG7U4w0g2SriyrSVk3uLBfkMGdDMChbL8mbc8ngxsZXDqehjsyfb9wYT4ZDrL9e26mY1GqHVe+V6H7ny+Thg2T/x//kAYNkiKRtm9cWio9/LCybrlF/nPP1QPPb5FPRguHd0tKlmP6DNaT0x9USY9iRUzbGY7vP0KzJ92umydO1+Wzr9EHez9MymxXMoTL61S9eLvMgfY/VjKyL6SapbtVu2qf8i4dqAB/YUMKNHbDe5IukPSh2r843zpJV0v6laTnwkYPPL8rqd3gwn5BBncyAIey/Zq0PZ8MbmRw6Xga7sj0/cKF+WQ4yPbvueBC5206urxOc5bujv4f6IoVUv/+ks8nBQJt3yEQiP68f3/5V66Uhg7VnKW7NaS8rtNZjukzWC/8ZIGKi/rK5/Mp4G87Q8AfkM/nU3FRX7140+M6uvegTs92JUO4vE5VC7fJVLVfVocyVQ2qWrhN4SQ8/8ChGrvhPUlnSNr5+ffbObxu+v5OSadL2iwlrRtc2C/I4E4G4FC2X5O255PBjQwuHU/DHZm+X7gwnwwH2f49F1EsSrXhnqVl8ucEo3/RKSiQsrNju2N2tlRQIP/zzyuQE9TspWWdypGbHdST0x9UQTBPWYHYTmrLCmSpIJinp2Y8pNzsYKfmu5DBNERUvXi7VBeRYv2AFiOpLno/09DecgEQv3uWlikUNrpAUqWkcIz3C39++/Ml1YVNp7vBhf2CDO5kAA5l+zVpez4Z3MngyvE03GH7NelCBtvzyXCQ7d9zcVCnFqXuuOMO+Xw+/ehHP0pSHPtGf1yrsWU1yr7qG9FTjGP9P9BG2dnS4MHK+vpVGltWo9F7axPOcsWYC1XSozjmnaRRViBLA3v211dPmpjwbFcy1G+ujJ7OGe8nBhvJHGhQ/ebKTs1H+kp2PzV2wyJF37IX64JUo/Dn91skdbobXNgvyOBOBqSfVB4/2X5N2p5PBjcyuHQ8jfilqqMyfb9wYT4ZDrL9ey4OSnhRatWqVfrjH/+o0tLSZOaxbtLGctX7JN1wQ/vvee9IOCxdf73qfdKkDeUJZ5k2bnK772vtMEIkrGnjJic825UMoXX7rd4f6SkV/dTYDXcr8eL0K3r/znaDC/sFGdzJgPSS6uMn269J2/cngxsZXDqeRnxS2VGZvl+4cH8yHGT791wclNDvVlVVVZo0aZIeeOABde/ePdmZrDp9V030Y2pPPLH997x3JBCQxoxR9ugTdFpZTUIPUTpglEaXHNvu+1o7jOAP6ISBx6l0wKiE7u9ChvDe2jY/gSEekX0hhfnrWkZJVT+dvqtGb3/+KXuJnjAckfSWpLeNEu4GF/YLMriTAekl1cdPtl+TtueTwZ0MrhxPIz6p7Cjbr0kXMtieT4aDbP+ei+YSWpSaPn26LrroIn35y1/u8LahUEiVlZXNvlw2Yn9IGjkySQ82QiM/TWyHG9Z3SFIiDO3E49jOEN6fvIsJInOkqp9G7A9pY5IybpIS7gYX9gsyuJMB6SXVx0+2X5O255PBnQyuHE8jPrF2VDr2kwsZbM8nw0G2f89Fc/G9gVLSggUL9Oabb2rVqlUx3X7WrFn61a9+FXcwG3zGKCei6MUYk6GwUDmR6OMany+uu+bn5iUlQkEnHsd6hvokXQC4jgsJZ4pU9VNjNxzobMDPVUoJd4MT+wUZ3MmAtOHJ8ZPt16Tt+WRwIoNLx9OIXTwdlZb95EIG2/PJ0MT677loJq4zpXbs2KEf/vCHevTRR5WbmxvTfWbOnKmKioqmrx07diQU1AvG51OdX9KBJP3qWVmpOr8S+j/QqtrqpEQ40InHsZ4hO0kfDpnDh0xmglT2U2M3JOnwWoVSwt3gxH5BBncyIC14dvxk+zVpez4ZnMjg0vE0YhNvR6VlP7mQwfZ8MjSx/nsumonrTKnVq1fr448/1kknndT0vXA4rFdeeUWzZ89WKBRSoMX7xoPBoILB9Pm4xE3dg/rCxiS9SWfjRm3skdh/++Y9W5MSYfPuDxK/r+UMge45SZkfKErO48Btqe6nTd2DGvlJct4+MFJKuBtc2C/I4E4GpAevjp9svyZtzyeDOxlcOZ5GbOLtqHTsJxcy2J5PhoNs/56L5uJaXjznnHO0fv16rVmzpunri1/8oiZNmqQ1a9a0OqBKR8uLu6h+7Rrprbein/qRiHBYWr1a9evWakW/Lgk9xLqdG7R2x7sKRxLLEI6EtWb7O1r/UeIHBLYzBHrnyt+rcwch/l5BBXrH9ldppLdU99Py4i463iedoM59+t6Jko7zKeFucGG/IIM7GZAevDp+sv2atD2fDO5kcOV4GrHxoqNsvyZdyGB7PhkOsv17LpqL63ergoICHX/88c2+8vLy1LNnTx1//PGpyuipR0cVKdtIuvtuyZ/gr56BgHTPPco20cdL1P0vz5ffl1iGgD+g+1+en/BsVzIESzv3yR+dvT/SR6r7qbEbblDnPn3vBqnT3eDCfkEGdzLAfV4eP9l+Tdq+PxncyODS8TQ65lVHZfp+4cL9yXCQ7d9zcRAXsmhhbe9cvdavixoeXyB9+KFUXx/fA9TXS9u2qeGvj+u1fl20thMruItWP6Mdn+5SQ7ghrvs1hBu0/ZOP9MSbzyY825UM2cMK5SvIkuK9jIBP8hVkKXtYYafmA40au+FKSYMkxfs3w8Dn97tC6nQ3uLBfkMGdDMChbL8mbc8ngxsZXDqehjsyfb9wYT4ZDrL9ey4O6vSi1EsvvaTf//73SYjijhkT+ilcF1LkvPOiF2mM9f9I6+ulAwcUOfdchetCmjGhX6dy1NaH9JU539OBUHXMO0tDuEEHQtW6fPY1qq3v/PVvbGfwZfmVd+nA6IXsYi0tn6Sc6P18Way7ZrJk99OMCf2UE/BpiaIXK491YSrw+e2fk5QT8HW6G1zYL8jgTgakp1QdP9l+TdqeTwZ3MrhyPI3EpKKjbL8mXchgez4ZDrL9ey4O4mi4DVuLcnTdhH7S5s2KnHqq9NFH0R+09574xu9/9FH09lu26LoJ/bQ1CRevff/jbTrnzqu0q3xPdFQ773tt/P6u8j06586r9MHeDzs925UMgaIc5V85WL782K7L78vPUv6Vg7l4MJKusRuGS1ouacDn32+vSBu/P+Dz2w+TktYNLuwXZHAnA3Ao269J2/PJ4EYGl46n4Y5M3y9cmE+Gg2z/nououD59L5MsGl4on4zmLH1fgWNHKevrV0nXXy+NGdP6xmvWSPfco4a/Pq5wXUjXnVusRcOT95aMD/Z+qFN+fZG+etJETRs3WScMPK7Vbdbv3Kj7X56vJ958NiWrtrYzBIpyVPCto1W/uVKhdfsV2df68f29ggqWdo+eDsrZB0iRg92wW+vDRosk3S3prTZuO1rRa0hdoegZUt+f0C+p3eDCfkEGdzIAh7L9mrQ9nwxuZHDpeBruyPT9woX5ZDjI9u+5YFHqsBYO76bVfbpo9tIyjX3kEdX/6RFljz5BGjFCKiyUKiulTZtUv3aNso20oriLrh8/JCV/0amtD+mxlU/psZVPqXTAKA3tO0QFuXk6UFutLXu2at3ODUmf6VoGX5ZfOaOKlDOqSOG9tQqX10l1ESnHr0BRDp9gBc8c2g1Ty2o0ySe9baRNkioVfaveCEnH+6IXNX+1uIuuH5+av/a6sF+QwZ0MwKFsvyZtzyeDGxlcOp6GOzJ9v3BhPhkOsv17bqZjUaoDW4tydNFXB2n03lpN2lCu03Zu0Mh1a5QTker80sYeQa04vkiPjiry7CKM63ZusL5j2M4Q6J3LL3iwqlU3lNXoq5+GmnXD3H5dPO0GF/YLMriTATiU7dek7flksJvBxeNpuCNT9wuX5pPhINu/52YiFqVitLZ3rtb2Pqrp3z5jZHzxflwAgCMN3QAAQGz4/0wAQEtc1CJB/B8ogLbQDQAAxIb/zwQAsCgFAAAAAAAAz7EoBQAAAAAAAM/5jDHGy4GVlZXq1q1bdHie95e0Mp81SEaST/J1tXNJLTKQwaUMtudLkqlukCRVVFSosNDexz/b7ifJke3Ba5IMZGiewYGOop/I4Mp8MjiWgX6S5Mi2IAMZHJnvTIYY+8nqhc4bQ9oZbnk+GcjgWgbb8x1j/blwYXvYzmB7PhnI4Cjrz4ML24IM9ueTwa0MjrD+PLiwLchABlfmu5KhA1YXpThTigxksJ/B9nzJzaLkL332MtieTwYytMrgWEfRT5mdwfZ8MjiWgX6S5Mi2IAMZHJnvTIYY+8neolTXgAqnDvV8bOW8LTLVDfJ1zbIynwxkcC2D7fmSVDF3s/RZ2MrsNlnqJ8mN7WE7g+35ZCBDS051FP2U8RlszyeDWxnopygXtgUZyODKfFcyxNpPXOgcAAAAAAAAnmNRCgAAAAAAAJ5jUQoAAAAAAACes3qhc6Sv8N5ahffXSfURKduvQPccBXrnZsx8AO5yoR9cyADAPS50Q+mAURrWd4jyc/NUVVutzXu2at3ODZ5mAOAe+gm2sCiFmJmGiOo3Vyq0br8i+0Ktfu7vFVSwtLuyhxXKl5X8k/BszwfgLhf6wYUMANzjQjfkZgd1xZgLNW3cZI0uObbVz9fueFf3vzxfi1Y/o9r61hkBHJnoJ7iARSnEJFxep+rF22UOtP+xjpF9IdUs3a3aVfuUd+lABYpyjpj5ANzlQj+4kAGAe1zohmP6DNaT0x9USY9iRUykzdsc33+EZk+6XTdPnK7LZ1+jD/Z+mNQMANxDP8EV/KkWHQqX16lq4TaZqvYL61CmqkFVC7cpXF53RMwH4C4X+sGFDADc40I3HNNnsF74yQIVF/WVz+dTwB9o83YBf0A+n0/FRX314k2P6+jeg5KWAYB76Ce4JK5FqVtvvVU+n6/Z18iRI1OVDQ4wDRFVL94u1UUkE+udJNVF72ca2l7xTpf5SB/0U+ZxoR9cyID0QEdlFhe6ITc7qCenP6iCYJ6yArG9OSIrkKWCYJ6emvGQcrODnc6A9EA/ZRb6Ca6J+0yp4447TmVlZU1fr776aipywRH1myujp3TGWliNjGQONKh+c2Vaz0d6oZ8yiwv94EIGpA86KnO40A1XjLlQJT2KY/6Fr1FWIEsDe/bXV0+a2OkMSB/0U+agn+CauBelsrKydNRRRzV99erVKxW54IjQuv0ZfX+kF/ops7jQDy5kQPqgozKHC90wbdzkdq/R0pFwJKxp4yZ3OgPSB/2UOegnuCbuRanNmzeruLhYRx99tCZNmqTt27enIhccEN5b2+anMMQjsi+k8N7atJyP9EM/ZQ4X+sGFDEgvdFRmcKEbSgeM0uiSY9u9RktHAv6AThh4nEoHjEo4A9IL/ZQZ6Ce4KK5FqVNPPVXz5s3TkiVLdN9992nr1q360pe+pAMHDrR7n1AopMrKymZfSA/h/cm7UHk6zkd6oZ8yiwv94EIGpI94O4p+Sl8udMOwvkOSkmFokh4HbqOfMgf9BBfF9SbOiRMPvneztLRUp556qgYNGqS//vWvuuaaa9q8z6xZs/SrX/2qcylhR32SLsBbl+Dj2J6PtEI/ZRgX+sGFDEgb8XYU/ZTGHOiG/Ny8pEQoSNLjwG30Uwahn+CguN++d6iioiINHz5cW7Zsafc2M2fOVEVFRdPXjh07OjMSXsru1MvjoJwEH8f2fKQ1+ukI50I/uJABaaujjqKf0pgD3VBVW52UCAeS9DhIL/TTEYx+goM69aqsqqrS+++/r379+rV7m2AwqMLCwmZfSA+B7jnJeZyixB7H9nykN/rpyOZCP7iQAemro46in9KXC92wec/WpGTYvPuDpDwO0gv9dOSin+CiuBalfvKTn+jll1/Wtm3b9K9//Utf+cpXFAgE9M1vfjNV+WBRoHeu/L2CnXoMf6+gAr1z03I+0gv9lFlc6AcXMiB90FGZw4VuWLdzg9bueFfhSDih+4cjYa3Z/o7Wf7Qx4QxIH/RT5qCf4KK4FqV27typb37zmxoxYoS+/vWvq2fPnlqxYoV69+6dqnywLFjaPaPvj/RBP2UeF/rBhQxID3RUZnGhG+5/eb78vsTeFBHwB3T/y/M7nQHpgX7KLPQTXBPXhc4XLFiQqhxwVPawQtWu2idT1SCZOO7ok3z5Wcoe1rnTeW3PR/qgnzKPC/3gQgakBzoqs7jQDYtWP6ObJ05XcVFfZQViP+RvCDdoV/kePfHms53OgPRAP2UW+gmu4eqqOCxfll95lw6MXszOF+udJOVE7+fL6txLzPZ8AO5yoR9cyADAPS50Q219SF+Z8z0dCFWrIdwQ030awg06EKrW5bOvUW19qNMZALiHfoJrOBpGhwJFOcq/crB8+bGtYvvys5R/5eCkXbzX9nwA7nKhH1zIAMA9LnTD+x9v0zl3XqVd5Xskqd1ruDR+f1f5Hp1z51X6YO+HScsAwD30E1wS19v3kLkCRTkq+NbRqt9cqdC6/Yrsa7067e8VVLC0u7KHFSb9r/+25wNwlwv94EIGAO5xoRs+2PuhTvn1RfrqSRM1bdxknTDwuFa3Wb9zo+5/eb6eePNZzkAAMgT9BFewKIWY+bL8yhlVpJxRRQrvrVW4vE6qi0g5fgWKclL+CVK25wNwlwv94EIGAO5xoRtq60N6bOVTemzlUyodMEpD+w5RQW6eDtRWa8uerVq3c0PKMwBwD/0EF7AohYQEeuda/QXL9nwA7nKhH1zIAMA9LnTDup0b+CUPQCv0E2zh/QMAAAAAAADwHItSAAAAAAAA8ByLUgAAAAAAAPCczxhjvBxYWVmpbt26RYfneX9JK/NZg2Qk+SRfVzuX1CIDGVzKYHu+JJnqBklSRUWFCgsLrWSQ7PeT5Mj24DVJBjI0z+BAR9FPZHBlPhkcy0A/SXJkW5CBDI7MdyZDjP1k9ULnjSHtDLc8nwxkcC2D7fmOsf5cuLA9bGewPZ8MZHCU9efBhW1BBvvzyeBWBkdYfx5c2BZkIIMr813J0AGri1KcKUUGMtjPYHu+5GZR8pc+exlszycDGVplcKyj6KfMzmB7Phkcy0A/SXJkW5CBDI7MdyZDjP1kb1Gqa0CFU4d6PrZy3haZ6gb5umZZmU8GMriWwfZ8SaqYu1n6LGxldpss9ZPkxvawncH2fDKQoSWnOop+yvgMtueTwa0M9FOUC9uCDGRwZb4rGWLtJy50DgAAAAAAAM+xKAUAAAAAgGU+bz+DDHCC1WtKAQAAAACQiUbvrdWkDeU6fVeNRuwPKSci1fmlTd2DWl7cRY+OKtLa3rm2YwIpxaIUElI6YJSG9R2i/Nw8VdVWa/OerVq3c4Nn88N7axXeXyfVR6RsvwLdcxSgsAHIfj9JdBSAttFPACRpSHmdZi8t09iyGtX7pLeNtEjSAUkFEWnkJyF999OQpq0v12v9umjGhH7aWpST0kwudIMLGeA9FqUQs9zsoK4Yc6GmjZus0SXHtvr52h3v6v6X52vR6mdUWx9K+nzTEFH95kqF1u1XZF/rx/f3CipY2l3Zwwrly+KdqUAmsd1PEh0FoG30E4BDXfleheYs3a26sNFcSXcbaU0btzvBSDdIurKsRisWbNV1E/pp0fDCpGZxoRtcyAC7WJRCTI7pM1hPTn9QJT2KFTGRNm9zfP8Rmj3pdt08cboun32NPtj7YdLmh8vrVL14u8yB9j9WMrIvpJqlu1W7ap/yLh2oQIr/mgDADbb7SaKjALSNfgJwqCvfq9D9z5fpPUkXSPpQ7V/keZ2kqyX9StJzYaMHnt8ln4wWDu+WlCwudIMLGWAfS43o0DF9BuuFnyxQcVFf+Xw+BfyBNm8X8Afk8/lUXNRXL970uI7uPSgp88PldapauE2mqv2yOpSpalDVwm0Kl9clZT4Ad9nuJ4mOAtA2+gnAoY4ur9Ocpbv1nqQzJO38/PttL1cf/P5OSadL2ixpztLdGpKE/dOFbnAhA9wQ96LURx99pMmTJ6tnz57q0qWLvvCFL+iNN95IRTY4IDc7qCenP6iCYJ6yArGdWJcVyFJBME9PzXhIudnBTs03DRFVL94u1UWkWD+Mwkiqi97PNLRX8zgS0U+ZxXY/SXQU4kNHZQ76CemGfkq9e5aWKRQ2ukBSpaRwjPcLf3778yXVhY1mLy3rVA4XusGFDHBHXItS+/fv19ixY5Wdna1nn31W7777ru666y517949Vflg2RVjLlRJj+KYD6gaZQWyNLBnf331pImdml+/uTJ6Ome8n45qJHOgQfWbKzs1H+mDfso8tvtJoqMQOzoqs9BPSCf0U+qN/rhWY8tqtEjRt+zFuiDVKPz5/RZJGltWo9F7axPO4kI3uJAB7ojr/yn/67/+SyUlJZo7d27T94YMGZL0UHDHtHGTFTERBXxtn3J+OOFIWNPGTdZjK59KeH5o3f6E79t4/5xRRZ16DKQH+inz2O4niY5C7OiozEI/IZ3QT6k3aWO56n3Ri5r71f5b9g7HL+luSZN80qQN5Vrb+6iEsrjQDS5kgDviOlNq8eLF+uIXv6ivfe1r6tOnj0488UQ98MADqcoGy0oHjNLokmPbvQZCRwL+gE4YeJxKB4xK6P7hvbVtfgJDPCL7Qgp34i8JSB/0U2a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M7m9LhrmrFsrtat7c0OP2aO6qhS3OYPo8mN6fDHZlAAAAAAAkjqgmHl999ZV+/OMfa/DgwTrvvPO0Zs0avfbaaxo7dmxMQyUNzJAr3Su5otzRJbnSvUoamJEQGV5Y+6p2HdytQDAQ1X6BYEA7v/5SL360tMUZTJ8H0/XJYFcGAAAAAEDiiGooNW/ePG3fvl1+v19fffWV3nzzzZgPpCTJ5XUr9ZLe4UWRI30D7JKUHN7P5W35Yso2ZKiq8euyR65Tub8y4sFUIBhQub9Sl865VlU1Lf9YpenzYLo+GezKAAAAAABIHNa+S/RkJSttSl+50iJbi92V5lXalL4xXUjZhgxffLVd591/pXaX7JOkRteYqv357pJ9Ou/+K7V1/46YZTB9HkzXJ4NdGQAAAAAAiSHqb9+LJ09WstL/pb9qNpfJX3RIoQP17/xxd/XJV9Ap/NGiVrgTw4YMW/fv0Jl3T9Dlp43XjFHTNKz3KfW2WV+8UXNXLdSLHy2NyR1SxzN9HkzXJ4NdGQAAAAAAbZ/VQykp/JGh5PwsJednKbi/SsGSaqk6JCW75clKjsu3edmQoarGr6dXv6ynV7+sgl75yuveT+kpqSqvqtSWfdtUVLyh1TOYPg+m65PBrgwAAAAAgLbN+qHU0TzZKcbf7NqQoah4Q1yGUE0xfR5M1yeDXRkAAAAAAG0Pn6sBAAAAAABA3DGUAgAAAAAAQNwxlAIAAAAAAEDcuRzHceJZsKysTJmZmeHiqfFf0so5HJAcSS7J1dHMklpkIINNGUzXlySnMiBJKi0tVUZGhpEMAAAAAID4MrrQee0bUTPFDdcnAxlsy2C6PgAAAACgXTE6lOJOKTKQwXwG0/UlhmEAAAAA0B6ZG0p19Chjel7cy5Yt2CKnMiBXR6+R+mQgg20ZTNeXpNL5m6XDQSO1AQAAAABmsNA5AAAAAAAA4o6hFAAAAAAAAOKOoRQAAAAAAADizuhC59EK7q9S8FC1VBOSktzydEqWJzuFDAYyFPTK18Du/ZSWkqqKqkpt3rdNRcUb2k19WzLY8FqwIQMAAAAAoO2xfijlBEKq2Vwmf9EhhQ746/3e3dUnX0EnJQ3MkMvbOjd+kSEsJcmnySMu0oxR0zQ09+R6v1+36zPNXbVQL6x9VVU19TO29fq2ZLDhtWBDBgAAAABA2+ZyHMeJZ8GysjJlZmZKHT3KvHpgk9sGS6pVuXinnPITf128K92r1Et6y5OV3HT92m8aS43sm8bIEDagW1+9NPMJ5XbOUcgJyeP21M8ZCsrtcmvXwd26dM612rp/R8wytEb9tpjBhtdCa2So/fa90tJSZWRknPC4AAAAAIC2z9pbGIIl1ap4frucihO/8ZUkpyKgiue3K1hSTYYYZxjQra/evO1Z5WR1l8vlanAYI0ket0cul0s5Wd311s8XqX92n4Sob0sGG14LNmQAAAAAACQGK4dSTiCkysU7peqQFOl9XI6k6vB+TiBEhhhlSEny6aWZTyjdlyqvJ7JPe3o9XqX7UvXyTfOUkuRr0/VtyWDDa8GGDAAAAACAxNGiodRvf/tbuVwu/fSnP41RnLCazWXhjwZF+8FCR3LKA6rZXEaGGGWYPOIi5XbOiXgYU8vr8ap3l566/LTxbbq+LRlseC3YkAEAAAAAkDiaPZRas2aN/vSnP6mgoCCWeSRJ/qJDRvcnwzdmjJqmkNO8O1yCoaBmjJrWpuvbksGG14INGQAAAAAAiaNZQ6mKigpNnTpVjz/+uDp16hTTQMH9VQ1+m1c0Qgf8Cu6vIkMLMxT0ytfQ3JMbXT/pRDxuj4b1PkUFvfLbZH1bMtjwWrAhAwAAAAAgsTRrKDVz5kxNmDBB559//gm39fv9KisrO+bRlOCh2CyI3JKFlckQNrB7v5hkyGvmcUzXtyWDDa8FGzIAAAAAABJLdIvkSHr22Wf10Ucfac2aNRFtP3v2bP3qV7+KvEBNjBZDrm7BccggSUpLSY1JhPRmHsd0fVsy2PBasCIDAAAAACChRHWn1K5du3TrrbfqqaeeUkpKSkT7zJo1S6WlpXWPXbt2Nb1DUoy+EDC5BcchgySpoqoyJhHKm3kc0/VtyWDDa8GKDAAAAACAhBLVnVJr167VV199pdNOO63uZ8FgUG+//bbmzJkjv98vj+fYtXd8Pp98Pl/ENTydkqOJ1Phxspp/HDKEbd63LSYZNu/d2ibr25LBhteCDRkAAAAAAIklqtsWzjvvPK1fv16FhYV1j9NPP11Tp05VYWFhvYFUc3iyU+TuGvkQqyHurj55siO7k4sMjSsq3qB1uz5TMBRs1v7BUFCFOz/V+i83tsn6tmSw4bVgQwYAAAAAQGKJaiiVnp6uU0899ZhHamqqunTpolNPPTVmoXwFLftGv5buT4ZvzF21UG5X8z5y5XF7NHfVwjZd35YMNrwWbMgAAAAAAEgcVi7wkjQwQ650r+SKckeX5Er3KmlgBhlilOGFta9q18HdCgQDUe0XCAa08+sv9eJHS9t0fVsy2PBasCEDAAAAACBxtHgotXLlSj300EMxiPINl9et1Et6hxdFjvQNsEtScng/l7flszYyhFXV+HXZI9ep3F8Z8VAmEAyo3F+pS+dcq6oaf5uub0sGG14LNmQAAAAAACQOa98lerKSlTalr1xpka3F7krzKm1K35gupEyGsC++2q7z7r9Su0v2SVKj6yvV/nx3yT6dd/+V2rp/R0LUtyWDDa8FGzIAAAAAABJDVN++F2+erGSl/0t/1Wwuk7/okEIH6t9x4u7qk6+gU/ijRa1wJwYZwrbu36Ez756gy08brxmjpmlY71PqbbO+eKPmrlqoFz9aGpO7g2yqb0sGG14LNmQAAAAAALR9Vg+lpPBHhpLzs5Scn6Xg/ioFS6ql6pCU7JYnKzku3+ZFhrCqGr+eXv2ynl79sgp65Suvez+lp6SqvKpSW/ZtU1HxhoSub0sGG14LNmQAAAAAALRt1g+ljubJTjH+ZpcMYUXFG+IygLG1vi0ZbHgt2JABAAAAAND28LkaAAAAAAAAxB1DKQAAAAAAAMQdQykAAAAAAADEnctxHCeeBcvKypSZmRkunhr/Ja2cwwHJkeSSXB3NLKlFBjLYlMF0fUlyKgOSpNLSUmVkZBjJAAAAAACIL6MLnde+ETVT3HB9MpDBtgym6wMAAAAA2hWjQynulCIDGcxnMF1fYhgGAAAAAO2RuaFUR48ypufFvWzZgi1yKgNydfQaqU8GMtiWwXR9SSqdv1k6HDRSGwAAAABgBgudAwAAAAAAIO4YSgEAAAAAACDuGEoBAAAAAAAg7owudB6t4P4qBQ9VSzUhKcktT6dkebJTyNAOMxT0ytfA7v2UlpKqiqpKbd63TUXFG+JW35YMpp8HWzIAAAAAANoe64dSTiCkms1l8hcdUuiAv97v3V198hV0UtLADLm8rXPjFxnsyJCS5NPkERdpxqhpGpp7cr3fr9v1meauWqgX1r6qqpr6+RIlg+nnwZYMAAAAAIC2zeqhVLCkWpWLd8opb/zr4kMH/DqyfK+q1hxQ6iW95clKJkMCZhjQra9emvmEcjvnKOSEGtzm1J6DNWfqPfrl+Jm6dM612rp/R8zq25LB9PNgSwYAAAAAQNtn7S0MwZJqVTy/XU5F4298j+ZUBFTx/HYFS6rJkGAZBnTrqzdve1Y5Wd3lcrnkcXsa3M7j9sjlciknq7ve+vki9c/uE5P6tmQw/TzYkgEAAAAAkBisHEo5gZAqF++UqkOSE+lOkqrD+zmBhu9iIUPby5CS5NNLM59Qui9VXk9kN/Z5PV6l+1L18k3zlJLka1F9WzKYfh5syQAAAAAASBxRDaXuuusuuVyuYx5DhgyJeaiazWXhjwZF+sa3liM55QHVbC4jQ4JkmDziIuV2zol4GFTL6/Gqd5eeuvy08S2qb0sG08+DLRkAAAAAAIkj6julTjnlFO3Zs6fu8Y9//CPmofxFh4zuTwZ7MswYNa3R9ZtOJBgKasaoaS2qb0sG08+DLRkAAAAAAIkj6qGU1+vVSSedVPfo2rVrTAMF91c1+G1e0Qgd8Cu4v4oMbTxDQa98Dc09udH1m07E4/ZoWO9TVNArv1n725LB9PNgSwYAAAAAQGKJeii1efNm5eTkqH///po6dap27tzZ5PZ+v19lZWXHPJoSPBSbBZFbsrAyGezIMLB7v5jUz2vBcWzIYPp5sCUDAAAAACCxRDWUOuuss7RgwQItW7ZMjz32mLZt26bvfve7Ki8vb3Sf2bNnKzMzs+6Rm5vbdJGaGC2GXN2C45DBigxpKakxKZ/eguPYkMH082BNBgAAAABAQolqKDV+/HhdccUVKigo0IUXXqhXX31VJSUleu655xrdZ9asWSotLa177Nq1q+kiSTH6QsDkFhyHDFZkqKiqjEn58hYcx4YMpp8HazIAAAAAABJKdF8ndpysrCwNGjRIW7ZsaXQbn88nn88X8TE9nZJbEumb42Q1/zhksCPD5n3bYlJ/896tzd/XggymnwdbMgAAAAAAEkuLbluoqKjQF198oR49esQqjzzZKXJ3jXyI1RB3V5882SlkaOMZioo3aN2uzxQMBZu1fzAUVOHOT7X+y43N2t+WDKafB1syAAAAAAASS1RDqdtuu02rVq3S9u3b9e677+qyyy6Tx+PRD3/4w5iG8hV0Mro/GezJMHfVQrldzZudetwezV21sEX1bclg+nmwJQMAAAAAIHFE9U67uLhYP/zhDzV48GB9//vfV5cuXfT+++8rOzs7pqGSBmbIle6VXFHu6JJc6V4lDcwgQ4JkeGHtq9p1cLcCwUBU+wWCAe38+ku9+NHSFtW3JYPp58GWDAAAAACAxBHVUOrZZ5/V7t275ff7VVxcrGeffVYDBgyIeSiX163US3qHF0WO9A2wS1JyeD+Xt+WLKZPBjgxVNX5d9sh1KvdXRjwUCgQDKvdX6tI516qqxt+i+rZkMP082JIBAAAAAJA4rH2X6MlKVtqUvnKlRbYWuyvNq7QpfWO6kDIZ7MjwxVfbdd79V2p3yT5JanR9p9qf7y7Zp/Puv1Jb9++ISX1bMph+HmzJAAAAAABIDC369r3W5slKVvq/9FfN5jL5iw4pdKD+HSfurj75CjqFP1rUCndikMGODFv379CZd0/Q5aeN14xR0zSs9yn1tllfvFFzVy3Uix8tjcndSTZmMP082JIBAAAAAND2WT2UksIfGUrOz1JyfpaC+6sULKmWqkNSsluerOS4fJsXGezIUFXj19OrX9bTq19WQa985XXvp/SUVJVXVWrLvm0qKt7QqvVtyWD6ebAlAwAAAACgbbN+KHU0T3aK8Te7ZLAjQ1HxhrgMgGzPYPp5sCUDAAAAAKDt4XM1AAAAAAAAiDuGUgAAAAAAAIg7hlIAAAAAAACIO5fjOE48C5aVlSkzMzNcPDX+S1o5hwOSI8kluTqaWVKLDGSwKYPp+pLkVAYkSaWlpcrIyDCSAQAAAAAQX0YXOq99I2qmuOH6ZCCDbRlM1wcAAAAAtCtGh1LcKUUGMpjPYLq+xDAMAAAAANojc0Opjh5lTM+Le9myBVvkVAbk6ug1Up8MZLAtg+n6klQ6f7N0OGikNgAAAADADBY6BwAAAAAAQNwxlAIAAAAAAEDcMZQCAAAAAABA3Bld6Dxawf1VCh6qlmpCUpJbnk7J8mSntLsMBb3yNbB7P6WlpKqiqlKb921TUfGGuGYwfR5M15d4HmzKAAAAAABoe6wfSjmBkGo2l8lfdEihA/56v3d39clX0ElJAzPk8rbOjV82ZEhJ8mnyiIs0Y9Q0Dc09ud7v1+36THNXLdQLa19VVU39jLFg+jyYri/xPNiUAQAAAADQtlk9lAqWVKty8U455Y1/XXzogF9Hlu9V1ZoDSr2ktzxZyQmXYUC3vnpp5hPK7ZyjkBNqcJtTew7WnKn36JfjZ+rSOddq6/4dMc1g+jyYri/xPNiUAQAAAADQ9ll7C0OwpFoVz2+XU9H4G9+jORUBVTy/XcGS6oTKMKBbX71527PKyeoul8slj9vT4HYet0cul0s5Wd311s8XqX92n5hlMH0eTNeXeB5sygAAAAAASAxWDqWcQEiVi3dK1SHJiXQnSdXh/ZxAw3extLUMKUk+vTTzCaX7UuX1RHZTm9fjVbovVS/fNE8pSb4WZzB9HkzXl3gebMoAAAAAAEgcUQ+lvvzyS02bNk1dunRRhw4d9K1vfUsffvhhTEPVbC4LfzQo0je+tRzJKQ+oZnNZQmSYPOIi5XbOiXgQUsvr8ap3l566/LTxLc5g+jyYri/xPNiUAQAAAACQOKIaSh06dEgjR45UUlKSli5dqs8++0wPPvigOnXqFNNQ/qJDRve3JcOMUdMaXbvoRIKhoGaMmtbiDKbPg+n9JZ4HmzIAAAAAABJHVLd+3HfffcrNzdX8+fPrftavX7+YBgrur2rw27yiETrgV3B/VbO/lt6GDAW98hv8drdIedweDet9igp65auoeEOzjmH6PJiuL/E82JQBAAAAAJBYorpTavHixTr99NN1xRVXqFu3bho+fLgef/zxJvfx+/0qKys75tGU4KHYLY7d7H0tyDCwe2yGfXktOI7p82C6vsTzYFMGAAAAAEBiiWootXXrVj322GMaOHCgXnvtNf3rv/6rbrnlFv3lL39pdJ/Zs2crMzOz7pGbm9t0kZoYLYZc3YLjWJAhLSU1JhHSW3Ic0+fBdH3xPFiVAQAAAACQUKIaSoVCIZ122mm69957NXz4cM2YMUPXX3+9/ud//qfRfWbNmqXS0tK6x65du5oukhSjLwRMbsFxLMhQUVUZkwjlLTmO6fNgur54HqzKAAAAAABIKFG9Q+zRo4dOPvnY9XXy8/O1c+fORvfx+XzKyMg45tEUT6fkaCI1fpys5h/Hhgyb922LSYbNe7c2e1/T58F0fYnnwaYMAAAAAIDEEtVQauTIkdq0adMxP/v888/Vp0+fmAXyZKfI3dXXomO4u/patJiyDRmKijdo3a7PFAwFm7V/MBRU4c5Ptf7Ljc3OYPo8mK4v8TzYlAEAAAAAkFiiGkr97Gc/0/vvv697771XW7Zs0dNPP625c+dq5syZMQ3lK+hkdH9bMsxdtVBuV/M+7uRxezR31cIWZzB9HkzvL/E82JQBAAAAAJA4onqnfcYZZ+ill17SM888o1NPPVW/+c1v9NBDD2nq1KkxDZU0MEOudK/kinJHl+RK9yppYNMfEWwrGV5Y+6p2HdytQDAQ1X6BYEA7v/5SL360tMUZTJ8H0/UlngebMgAAAAAAEkfUt39MnDhR69evV1VVlTZs2KDrr78+5qFcXrdSL+kdXhQ50jfALknJ4f1c3pYvpmxDhqoavy575DqV+ysjHogEggGV+yt16ZxrVVXjb3EG0+fBdH2J58GmDAAAAACAxGHtu0RPVrLSpvSVK80b0fauNK/SpvSN6ULKNmT44qvtOu/+K7W7ZJ8kNbq2Ue3Pd5fs03n3X6mt+3fELIPp82C6vsTzYFMGAAAAAEBiiOydpSGerGSl/0t/1Wwuk7/okEIH6t9x4u7qk6+gU/ijRa1wJ4YNGbbu36Ez756gy08brxmjpmlY71PqbbO+eKPmrlqoFz9aGpM7c45n+jyYri/xPNiUAQAAAADQ9lk9lJLCHxlKzs9Scn6WgvurFCyplqpDUrJbnqzkuHyblw0Zqmr8enr1y3p69csq6JWvvO79lJ6SqvKqSm3Zt01FxRtaPYPp82C6vsTzYFMGAAAAAEDbZv1Q6mie7BTjb3ZtyFBUvCEuw4+mmD4PputLPA82ZQAAAAAAtD18rgYAAAAAAABxx1AKAAAAAAAAccdQCgAAAAAAAHHHUAoAAAAAAABx53Icx4lnwbKyMmVmZoaLp8Z/nXXncEByJLkkV0cz67yTgQw2ZTBdX5KcyoAkqbS0VBkZGUYyAAAAAADiy+i379W+ETVT3HB9MpDBtgym6wMAAAAA2hWjQynulCIDGcxnMF1fYhgGAAAAAO2RuaFUR48ypufFvWzZgi1yKgNydfQaqU8GMtiWwXR9SSqdv1k6HDRSGwAAAABgBgudAwAAAAAAIO4YSgEAAAAAACDuGEoBAAAAAAAg7owudB6t4P4qBQ9VSzUhKcktT6dkebJTyNAOM5iub0uGgl75Gti9n9JSUlVRVanN+7apqHhDXDPYcB4AAAAAAG2P9UMpJxBSzeYy+YsOKXTAX+/37q4++Qo6KWlghlze1rnxiwx2ZDBd35YMKUk+TR5xkWaMmqahuSfX+/26XZ9p7qqFemHtq6qqqZ8xFmw4DwAAAACAts3qoVSwpFqVi3fKKW/86+JDB/w6snyvqtYcUOolveXJSiZDAmYwXd+WDAO69dVLM59QbucchZxQg9uc2nOw5ky9R78cP1OXzrlWW/fviGkGG84DAAAAAKDts/YWhmBJtSqe3y6novE3vkdzKgKqeH67giXVZEiwDKbr25JhQLe+evO2Z5WT1V0ul0set6fB7Txuj1wul3Kyuuutny9S/+w+Mctgw3kAAAAAACSGqIZSffv2lcvlqveYOXNmTEM5gZAqF++UqkOSE+lOkqrD+zmBhu8gIUPby2C6vi0ZUpJ8emnmE0r3pcrriewGR6/Hq3Rfql6+aZ5SknwtzmDDeQAAAAAAJI6ohlJr1qzRnj176h5vvPGGJOmKK66IaaiazWXhjwZF+sa3liM55QHVbC4jQ4JkMF3flgyTR1yk3M45EQ+kank9XvXu0lOXnza+xRlsOA8AAAAAgMQR1VAqOztbJ510Ut1jyZIlGjBggEaNGhXTUP6iQ0b3J4M9GUzvb0uGGaOmNbqG1IkEQ0HNGDWtxRlsOA8AAAAAgMTR7DWlqqurtXDhQl1zzTVyuVwxCxTcX9Xgt3lFI3TAr+D+KjK08Qym69uSoaBXvobmntzoGlIn4nF7NKz3KSrold/sDDacBwAAAABAYmn2UOrll19WSUmJpk+f3uR2fr9fZWVlxzyaEjwUu8Wxm70vGazIYLq+LRkGdu8Xkwx5LTiODecBAAAAAJBYmj2UmjdvnsaPH6+cnJwmt5s9e7YyMzPrHrm5uU0fuCZGiyFXt+A4ZLAjg+n6lmRIS0mNSYT0lhzHgvMAAAAAAEgszRpK7dixQ2+++aauu+66E247a9YslZaW1j127drV9A5JzZ6THSu5Bcchgx0ZTNe3JENFVWVMIpS35DgWnAcAAAAAQGKJ7qu8/mn+/Pnq1q2bJkyYcMJtfT6ffL7Iv47e0ym5OZHqHyer+cchgx0ZTNe3JcPmfdtikmHz3q3N3teG8wAAAAAASCxR37YQCoU0f/58XXXVVfJ6mzXTapInO0XurpEPsRri7uqTJzuFDG08g+n6tmQoKt6gdbs+UzAUbNb+wVBQhTs/1fovNzY7gw3nAQAAAACQWKIeSr355pvauXOnrrnmmtbII0nyFXQyuj8Z7Mlgen9bMsxdtVBuV/M++uZxezR31cIWZ7DhPAAAAAAAEkfU73IvuOACOY6jQYMGtUYeSVLSwAy50r2SK8odXZIr3aukgRlkSJAMpuvbkuGFta9q18HdCgQDUe0XCAa08+sv9eJHS1ucwYbzAAAAAABIHFauOuzyupV6Se/wosiRvgF2SUoO7+fytvzPIoMdGUzXtyVDVY1flz1yncr9lREPpgLBgMr9lbp0zrWqqvG3OIMN5wEAAAAAkDisfZfoyUpW2pS+cqVFtm6VK82rtCl9Y7qQMhnsyGC6vi0Zvvhqu867/0rtLtknSY2uMVX7890l+3Te/Vdq6/4dMctgw3kAAAAAACSG2K9UHkOerGSl/0t/1Wwuk7/okEIH6t/t4e7qk6+gU/ijRa1wJwYZ7Mhgur4tGbbu36Ez756gy08brxmjpmlY71PqbbO+eKPmrlqoFz9aGpM7pI5nw3kAAAAAALR9Vg+lpPBHhpLzs5Scn6Xg/ioFS6ql6pCU7JYnKzku3+ZFBjsymK5vS4aqGr+eXv2ynl79sgp65Suvez+lp6SqvKpSW/ZtU1HxhlbPYMN5AAAAAAC0bdYPpY7myU4x/maXDHZkMF3flgxFxRviMoRqig3nAQAAAADQ9vC5GgAAAAAAAMQdQykAAAAAAADEHUMpAAAAAAAAxJ3LcRwnngXLysqUmZkZLp4a/yWtnMMByZHkklwdzSypRQYy2JTBdH1JcioDkqTS0lJlZGQYyQAAAAAAiC+jC53XvhE1U9xwfTKQwbYMpusDAAAAANoVo0Mp7pQiAxnMZzBdX2IYBgAAAADtkbmhVEePMqbnxb1s2YItcioDcnX0GqlPBjLYlsF0fUkqnb9ZOhw0UhsAAAAAYAYLnQMAAAAAACDuGEoBiAlXfL8zAQAAAADQxhldUwpA2zV0f5WmbijRObuPaPAhv5JDUrVb2tTJp/dyOuip/Cyty04xHRMAAAAAYKk2NZQq6JWvgd37KS0lVRVVldq8b5uKijeQoR1mMF2/PWfoV1KtOcv3aOSeI6pxSUlDh0ljh0jp6UouL9e3Nm7UkHWFmrG+RO/06KCbzu2hbVnJrZoJAAAAAND2WD+USknyafKIizRj1DQNzT253u/X7fpMc1ct1AtrX1VVjZ8MCZzBdH0ySFM+L9Ujy/fKk+yTpk9X0i23SMOH19su6eOPpT/+UWctelbvP7tNN57bQy8MyohpFgAAAABA2+ZynPguBFNWVqbMzEypo0eZVw9sctsB3frqpZlPKLdzjkJOSB63p942wVBQbpdbuw7u1qVzrtXW/Tuarl/7TWOpkX3TGBnsyNAa9ckQXf0pn5dq7ht7pIED5X79dalPHykUkjz1MygYlNxuaccOhcaOlbZs0YyxPfT8oMwGj1377XulpaXKyGB4BQAAAADtgbULnQ/o1ldv3vascrK6y+VyNfjmW5I8bo9cLpdysrrrrZ8vUv/sPmRIsAym65NB6l9SrUeW7w0PpN5/X+rZU3K5Gh5ISeGfu1xSz55yr14t5eXpkeV71a+kusVZAAAAAACJIaqhVDAY1H/913+pX79+6tChgwYMGKDf/OY3ivXNVilJPr008wml+1Ll9UT2CUOvx6t0X6pevmmeUpJ8ZEiQDKbrkyHs4eV75E72he+QSk+XkpIi2zEpSUpPl/uNN+RJ9mnO8j0tygEAAAAASBxRDaXuu+8+PfbYY5ozZ442bNig++67T7/73e/08MMPxzTU5BEXKbdzTsRvvmt5PV717tJTl582ngwJksF0fTJIQ7+q0sg9R5R05Q/CH9mLdCBVKylJ6ttX3u9fqZF7jmjo/qpmZwEAAAAAJI6ohlLvvvuuJk2apAkTJqhv376aMmWKLrjgAn3wwQcxDTVj1DSFnFCz9g2GgpoxahoZEiSD6fpkkKZuLFGNS9Itt4TXkGpWiKB0882qcUlTN5Q0OwsAAAAAIHFENZT69re/rbfeekuff/65JGndunX6xz/+ofHjW34nSK2CXvkamntyo+vlnIjH7dGw3qeooFc+Gdp4BtP1yRB2zu4jSho6LPwte42tIXXCEB5pxAglDR2ms/ccad4xAAAAAAAJJaqh1O23364f/OAHGjJkiJKSkjR8+HD99Kc/1dSpUxvdx+/3q6ys7JhHUwZ27xdNpEblteA4ZLAjg+n6ZAgbfMgvDRkSkwwaPFhDDvpjcywAAAAAQJsW1VDqueee01NPPaWnn35aH330kf7yl7/ogQce0F/+8pdG95k9e7YyMzPrHrm5uU3WSEtJjSZSo9JbcBwy2JHBdH0ySC7HUXJI4cXNYyEjQ8mh8HEBAAAAAO1bVEOpn//853V3S33rW9/Sj370I/3sZz/T7NmzG91n1qxZKi0trXvs2rWryRoVVZXRRGpUeQuOQwY7MpiuTwbJcblU7ZZUXh6TDCorU7U7fFwAAAAAQPsW1Vd5HT58WG73sXMsj8ejUBOLH/t8Pvl8kX8d/eZ926KJ1Phx9m5t/r5ksCKD6fpkCNvUyadvbdwYkwzauFEbO0feDwAAAAAAiSuqO6Uuvvhi3XPPPfrf//1fbd++XS+99JJ+//vf67LLLotZoKLiDVq36zMFQ8Fm7R8MBVW481Ot/7L5b6LJYEcG0/XJEPZeTgfVrCuUPv44/C16zQoRlNauVU3ROr3fo0PzjgEAAAAASChRDaUefvhhTZkyRTfeeKPy8/N122236Sc/+Yl+85vfxDTU3FUL5XZFFa2Ox+3R3FULyZAgGUzXJ4P0VH6WkhxJf/yj5G5eBnk80sMPK8kJHw8AAAAAgKjeYaanp+uhhx7Sjh07dOTIEX3xxRe6++67lZycHNNQL6x9VbsO7lYgGIhqv0AwoJ1ff6kXP1pKhgTJYLo+GaR12Sl6p0cHBRY9K+3YIdXURHeAmhpp+3YFnlukd3p00LrslGZnAQAAAAAkjmbe9tC6qmr8uuyR61Tur4z4TXggGFC5v1KXzrlWVTUt/8p5MtiRwXR9MoTddG4PBav9Cl1wQXjR80gHUzU1Unm5QmPHKljt103n9mhRDgAAAABA4rByKCVJX3y1Xefdf6V2l+yTpEbX06n9+e6SfTrv/iu1df8OMiRYBtP1ySBty0rWjef2kDZvVuiss6Qvv/xnsUbWmKr9+ZdfhrffskU3nttD27Jie1clAAAAAKDtsnYoJUlb9+/QmXdP0I1/naX1xQ0v0ry+eKNu/OssnXn3hJgOAMhgVwbT9ckgvTAoQzPG9lDNti8UODlfmj5dKixseOPCQmn6dAVOzlfNti90/dgcvTAoI2ZZAAAAAABtn8txHCeeBcvKypSZmSl19Cjz6oFR7VvQK1953fspPSVV5VWV2rJvm4qKN0RXf8EWOZUBuVK9ypieF9W+ZLAnQyzqk6F59fuVVGvO8j0aueeIalxS0tBh0uDBUkaGVFYmbdqkmnWFSnKkf+R00M1jTnyHVOn8zdLhoEpLS5WRwfAKAAAAANoDr+kA0Sgq3tCsN/1kSLwMpuu35wzbspI14fI+Grq/SlM3lOjs4g0aUlSo5JBU7ZY2dvbp/VOz9FR+FouaAwAAAAAa1aaGUgDssS47ReuyT6r7b5fjyHG5DCYCAAAAALQlVq8pBaDtYCAFAAAAAIgGQykAAAAAAADEXdwXOi8tLVVWVlb4Pzp64lk67PBRX2Fvoj4ZyGBbBtP1j8pQUlIS/iIEAAAAAEDCi/uaUuXl5d/8x9Fvhk0wXZ8MZLAtg+H65eXlDKUAAAAAoJ2I+51SoVBIu3fvVnp6ulzNWIOmrKxMubm52rVrl7GvjieDHRlM1ydD7DI4jqPy8nLl5OTI7eZTxQAAAADQHsT9Tim3261evXq1+DgZGRnG3oCTwa4MpuuTITYZuEMKAAAAANoXbkkAAAAAAABA3DGUAgAAAAAAQNy1uaGUz+fTnXfeKZ/PR4Z2nsF0fTLYlQEAAAAA0LbEfaFzAAAAAAAAoM3dKQUAAAAAAIC2j6EUAAAAAAAA4o6hFAAAAAAAAOKuTQ2l3nvvPXk8Hk2YMCHutadPny6Xy1X36NKli8aNG6eioqK4Z9m7d69uvvlm9e/fXz6fT7m5ubr44ov11ltvtXrto89DUlKSunfvrrFjx+rPf/6zQqFQq9c/PsPRj3HjxsWl/olybNmyJS719+7dq1tvvVV5eXlKSUlR9+7dNXLkSD322GM6fPhwq9efPn26Lr300no/X7lypVwul0pKSlo9AwAAAACg7WpTQ6l58+bp5ptv1ttvv63du3fHvf64ceO0Z88e7dmzR2+99Za8Xq8mTpwY1wzbt2/XiBEjtHz5ct1///1av369li1bpjFjxmjmzJlxyVB7HrZv366lS5dqzJgxuvXWWzVx4kQFAoG4Zjj68cwzz8Sl9oly9OvXr9Xrbt26VcOHD9frr7+ue++9Vx9//LHee+89/eIXv9CSJUv05ptvtnoGAAAAAABawms6QKQqKiq0aNEiffjhh9q7d68WLFigO+64I64ZfD6fTjrpJEnSSSedpNtvv13f/e53tX//fmVnZ8clw4033iiXy6UPPvhAqampdT8/5ZRTdM0118Qlw9HnoWfPnjrttNN09tln67zzztOCBQt03XXXxTWDSaZy3HjjjfJ6vfrwww+PeR30799fkyZNEl+qCQAAAACwXZu5U+q5557TkCFDNHjwYE2bNk1//vOfjb7xrqio0MKFC5WXl6cuXbrEpebBgwe1bNkyzZw585hBRK2srKy45GjIueeeq6FDh+rFF180lqG9+Prrr/X66683+jqQJJfLFedUAAAAAABEp80MpebNm6dp06ZJCn9kqrS0VKtWrYprhiVLligtLU1paWlKT0/X4sWLtWjRIrnd8TmNW7ZskeM4GjJkSFzqRWvIkCHavn17XGod/VzUPu6999641G4qxxVXXNHqNWtfB4MHDz7m5127dq3L8ctf/rLVc0gNPw/jx4+PS20AAAAAQNvWJj6+t2nTJn3wwQd66aWXJEler1dXXnml5s2bp9GjR8ctx5gxY/TYY49Jkg4dOqRHH31U48eP1wcffKA+ffq0en3bP5LlOE7c7tA5+rmo1blz57jUbipHY3cuxcMHH3ygUCikqVOnyu/3x6VmQ8/D6tWr6wbIAAAAAAA0pk0MpebNm6dAIKCcnJy6nzmOI5/Ppzlz5igzMzMuOVJTU5WXl1f330888YQyMzP1+OOP6+677271+gMHDpTL5dLGjRtbvVZzbNiwIS6LfEv1nwtTTOTIy8uTy+XSpk2bjvl5//79JUkdOnSIW5aG/v7i4uK41QcAAAAAtF3Wf3wvEAjoySef1IMPPqjCwsK6x7p165STk2PkG9dquVwuud1uHTlyJC71OnfurAsvvFCPPPKIKisr6/2+pKQkLjkasnz5cq1fv16TJ082lqG96NKli8aOHas5c+Y0+DoAAAAAAKAtsP5OqSVLlujQoUO69tpr690RNXnyZM2bN0833HBDXLL4/X7t3btXUvjje3PmzFFFRYUuvvjiuNSXpEceeUQ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"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"np.random.seed(1)\n",
"simulation_results = simulate_game(1, (GreedyPolicy(1), GreedyPolicy(1)))\n",
"_unique_bords, _unique_actions = drop_duplicate_boards(\n",
" simulation_results[0].reshape(-1, 8, 8), simulation_results[1].reshape(-1, 2)\n",
")\n",
"plot_othello_boards(_unique_bords, actions=_unique_actions)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"peak memory: 347.95 MiB, increment: 0.46 MiB\n",
"23.6 s ± 392 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
]
}
],
"source": [
"%memit simulate_game(100, (GreedyPolicy(1), GreedyPolicy(1)))\n",
"%timeit simulate_game(100, (GreedyPolicy(1), GreedyPolicy(1)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Random vs. greedy policy\n",
"\n",
"Last there was a simulation between random and greedy policy. Random playing as black and the greedy as white."
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
},
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"np.random.seed(2)\n",
"simulation_results = simulate_game(1, (RandomPolicy(1), GreedyPolicy(1)))\n",
"_unique_bords, _unique_actions = drop_duplicate_boards(\n",
" simulation_results[0].reshape(-1, 8, 8), simulation_results[1].reshape(-1, 2)\n",
")\n",
"plot_othello_boards(_unique_bords, actions=_unique_actions)"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": []
},
"source": [
"### Greedy vs. random policy\n",
"\n",
"Last there was a simulation between the greedy policy as black and the random policy as white."
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"np.random.seed(3)\n",
"simulation_results = simulate_game(1, (GreedyPolicy(1), RandomPolicy(1)))\n",
"_unique_bords, _unique_actions = drop_duplicate_boards(\n",
" simulation_results[0].reshape(-1, 8, 8), simulation_results[1].reshape(-1, 2)\n",
")\n",
"plot_othello_boards(_unique_bords, actions=_unique_actions)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Statistical examination of the natural action space and game result\n",
"As for many project some evaluation of the project is in order.\n",
"\n",
"1. What is the expected distribution of scores\n",
"2. What is the expected distribution of possible actions\n",
"\n",
" a. over time\n",
" \n",
" b. ober space\n",
"\n",
"The easiest and robustest way to analyse this is when analyzing randomly played games."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For this purpose we played a sample of 10,000 games and saved them for later analysis."
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"text/plain": [
"((70, 10000, 8, 8), (70, 10000, 2))"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"if not os.path.exists(\"rnd_history.npy\") and not os.path.exists(\"rnd_action.npy\"):\n",
" simulation_results = simulate_game(\n",
" 10_000, (RandomPolicy(1), RandomPolicy(1)), tqdm_on=True\n",
" )\n",
" _board_history, _action_history = simulation_results\n",
" np.save(\"rnd_history.npy\", _board_history.astype(np.int8))\n",
" np.save(\"rnd_action.npy\", _action_history.astype(np.int8))\n",
"else:\n",
" _board_history = np.load(\"rnd_history.npy\")\n",
" _action_history = np.load(\"rnd_action.npy\")\n",
"_board_history.shape, _action_history.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For those 10k games the possible actions where evaluated and saved for each and every turn in the game."
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"text/plain": [
"((70, 10000, 8, 8), (70, 10000, 2))"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"if not os.path.exists(\"turn_possible.npy\"):\n",
" __board_history = _board_history.copy()\n",
" __board_history[1::2] = __board_history[1::2] * -1\n",
"\n",
" _poss_turns = get_possible_turns(\n",
" __board_history.reshape((-1, 8, 8)), tqdm_on=True\n",
" ).reshape((SIMULATE_TURNS, -1, 8, 8))\n",
" np.save(\"turn_possible.npy\", _poss_turns)\n",
" del __board_history\n",
"_poss_turns = np.load(\"turn_possible.npy\")\n",
"_poss_turns.shape, _action_history.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Those possible turms then where counted for all games in the history stack.\n",
"\n",
"### Action space over time / tree search size estimation\n",
"The action space size can be drawn into a histogram by turn and a curve over the mean action space size.\n",
"This can be used to analyse in which area of the game that cant be solved absolutely."
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "40f0347cd3154d8ba2b615d73fedb618",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"interactive(children=(IntSlider(value=34, description='turn', max=69), Output()), _dom_classes=('widget-intera…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"count_poss_turns = np.sum(_poss_turns, axis=(2, 3))\n",
"mean_possibility_count = np.mean(count_poss_turns, axis=1)\n",
"std_possibility_count = np.std(count_poss_turns, axis=1)\n",
"cum_prod = count_poss_turns\n",
"\n",
"\n",
"@interact(turn=(0, 69))\n",
"def poss_turn_count(turn):\n",
" fig, axes = plt.subplots(2, 2, figsize=(15, 8))\n",
" ax1, ax2, ax3, ax4 = axes.flatten()\n",
" _mean_possibility_count = mean_possibility_count.copy()\n",
" _std_possibility_count = std_possibility_count.copy()\n",
" _mean_possibility_count[_mean_possibility_count <= 1] = 1\n",
" _std_possibility_count[_std_possibility_count <= 1] = 1\n",
" # np.cumprod(_mean_possibility_count[::-1], axis=0)[::-1]\n",
" # todo what happens here=\n",
" fig.suptitle(\n",
" f\"Action space size analysis\\nThe total size is estimated to be around {np.prod(_mean_possibility_count):.2E}\"\n",
" )\n",
" ax1.hist(count_poss_turns[turn], density=True)\n",
" ax1.set_title(f\"Histogram of the action space size for turn {turn}\")\n",
" ax1.set_xlabel(\"Action space size\")\n",
" ax1.set_ylabel(\"Action space size probability\")\n",
" ax2.set_title(f\"Mean size of the action space per turn\")\n",
" ax2.set_xlabel(\"Turn\")\n",
" ax2.set_ylabel(\"Average possible moves\")\n",
"\n",
" ax2.errorbar(\n",
" range(70),\n",
" mean_possibility_count,\n",
" yerr=std_possibility_count,\n",
" label=\"Mean action space size with error bars\",\n",
" )\n",
" ax2.scatter(turn, mean_possibility_count[turn], marker=\"x\")\n",
" ax2.legend()\n",
"\n",
" action_space_cumprod = np.cumprod(_mean_possibility_count[::-1], axis=0)[::-1]\n",
" ax4.plot(range(70), action_space_cumprod)\n",
"\n",
" ax4.scatter(turn, action_space_cumprod[turn], marker=\"x\")\n",
" ax4.set_yscale(\"log\", base=10)\n",
" ax4.set_xlabel(\"Turn\")\n",
" ax4.set_ylabel(\"Mean remaining total action space size\")\n",
" ax4.set_title(\n",
" f\"Remaining action space at {turn} = {action_space_cumprod[turn].round():.2E}\"\n",
" )\n",
" fig.delaxes(ax3)\n",
" fig.tight_layout()\n",
" plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The action space analysis can be used to siwtch betwen a \"normal\" algorithm and a ANN powered alogrithm. If the average remaining decision tree is small enough.\n",
"Depending on the performence of the network and the speed requirements.\n",
"After step 52 it should be easely possible. But if wanted to this could start at step 50 or even 48."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It is interesting to see that the action space for the first player (black) is much smaller than for the second player. "
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
Total mean action-space
\n",
"
\n",
" \n",
" \n",
"
\n",
"
white
\n",
"
3.753117e+20
\n",
"
\n",
"
\n",
"
black
\n",
"
5.687159e+18
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" Total mean action-space\n",
"white 3.753117e+20\n",
"black 5.687159e+18"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"black = mean_possibility_count[0::2]\n",
"white = mean_possibility_count[1::2]\n",
"df = pd.DataFrame(\n",
" [\n",
" {\n",
" \"white\": np.prod(np.extract(white, white)),\n",
" \"black\": np.prod(np.extract(black, black)),\n",
" }\n",
" ],\n",
" index=[\"Total mean action-space\"],\n",
").T\n",
"del white, black\n",
"df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Posiblilty that an action is possible at a specifc turn\n",
"\n",
"The diagramm below shows where and wann a stone can be placed at each of the turns.\n",
"This can be used to compare learning behavior for different Policies and show for example the behavior around the corners.\n",
"A very low possiblity for a corner would mean that the AI tires not to give the corners to the enemy an tries to capture them themselve if possible."
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "bf24c6451def4d998a37e820ae34dbc9",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"interactive(children=(IntSlider(value=34, description='turn', max=69), Output()), _dom_classes=('widget-intera…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"mean_poss_turn = np.mean(_poss_turns, axis=1)\n",
"\n",
"\n",
"@interact(turn=(0, 69))\n",
"def turn_distribution_heatmap(turn):\n",
" turn_possibility_on_field = mean_poss_turn[turn]\n",
"\n",
" sns.heatmap(\n",
" turn_possibility_on_field,\n",
" linewidth=0.5,\n",
" square=True,\n",
" annot=True,\n",
" xticklabels=\"ABCDEFGH\",\n",
" yticklabels=list(range(1, 9)),\n",
" )\n",
" plt.title(f\"Headmap of where stones can be placed on turn {turn}\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": []
},
"source": [
"### Statistic of skipped actions\n",
"\n",
"Not all turns can be played. Ploted as a mean over the curse of the game it can be clearly seen that the first time a turn can be skipped is is turn 9 and increases over time."
]
},
{
"cell_type": "code",
"execution_count": 111,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def history_changed(board_history: np.ndarray) -> np.ndarray:\n",
" \"\"\"Calculates if the board changed between actions.\n",
"\n",
" Args:\n",
" board_history: A history of game baords. Shaped (70 * n * 8 * 8)\n",
" \"\"\"\n",
" return ~np.all(\n",
" np.roll(board_history, shift=1, axis=0) == board_history, axis=(2, 3)\n",
" )\n",
"\n",
"\n",
"plt.title(\"Share of turns skipped\")\n",
"plt.plot(1 - np.mean(history_changed(_board_history), axis=1))\n",
"plt.xlabel(\"Turn\")\n",
"plt.ylabel(\"Factor of skipped turns\")\n",
"plt.yscale(\"log\", base=10)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": []
},
"source": [
"## Hash branching\n",
"To calibrate the explration rate properly we compared all the games in a stack of games. The graph shows the number of unique game boards at each of the game turns.\n",
"As can be seen below for random games the games start to be unique very fast.\n",
"For a proper directed exploration I assume the rate needs to be calbrated that the game still have some duplications of the best knwon game at the end of an game simulatin left."
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def calculate_board_branching(board_history) -> pd.Series:\n",
" assert len(board_history.shape) == 4\n",
" assert board_history.shape[-2:] == (8, 8)\n",
" assert board_history.shape[0] == SIMULATE_TURNS\n",
" return pd.Series(\n",
" [count_unique_boards(board_history[turn]) for turn in range(SIMULATE_TURNS)]\n",
" )\n",
"\n",
"\n",
"_ = calculate_board_branching(_board_history).plot(\n",
" title=f\"Exploration history over {_board_history.shape[0]} turns\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ 3.0000e+00 -3.0000e+00 3.2566e+00 -3.4776e+00 3.4422e+00 -3.8032e+00\n",
" 3.7130e+00 -3.9864e+00 3.9188e+00 -4.1371e+00 4.0475e+00 -4.2540e+00\n",
" 4.1889e+00 -4.4112e+00 4.3339e+00 -4.4949e+00 4.5001e+00 -4.5824e+00\n",
" 4.5818e+00 -4.7497e+00 4.7366e+00 -4.8246e+00 4.8160e+00 -4.9348e+00\n",
" 4.9494e+00 -5.0466e+00 5.1068e+00 -5.1586e+00 5.2366e+00 -5.2766e+00\n",
" 5.3122e+00 -5.4081e+00 5.4527e+00 -5.5603e+00 5.5967e+00 -5.6423e+00\n",
" 5.7014e+00 -5.8357e+00 5.8643e+00 -5.9012e+00 5.9900e+00 -6.1215e+00\n",
" 6.1590e+00 -6.2150e+00 6.3472e+00 -6.4288e+00 6.5409e+00 -6.6730e+00\n",
" 6.7297e+00 -6.9038e+00 6.9386e+00 -7.0992e+00 7.2869e+00 -7.4165e+00\n",
" 7.5312e+00 -7.7480e+00 7.9052e+00 -7.9656e+00 7.8611e+00 -7.3040e+00\n",
" 3.0707e+00 -7.1540e-01 1.4300e-01 -1.9100e-02 3.4000e-03 -3.0000e-04\n",
" 5.0000e-04 0.0000e+00 0.0000e+00 0.0000e+00]\n"
]
}
],
"source": [
"_direct_score = np.sum(_board_history, axis=(-2, -1))\n",
"_score = np.zeros_like(_direct_score)\n",
"_score[:-1] = _direct_score[1:] - _direct_score[:-1]\n",
"print(np.mean(_score, axis=1))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Reword functions\n",
"\n",
"For any kind of reinforcement learning is a reword function needed.\n",
"For otello this would be the final score, the information who won, changes to the score and the sum of the board.\n",
"A combination of those three also be possible.\n",
"It is probably not be possible to weight the current score to high in a reword function since that would be to close to a classic greedy algorithm.\n",
"But some direct influence would increase the learning speed.\n",
"In the next section are all three reword functions implemented to be combined and weight later on as needed."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Evaluate the final game score\n",
"\n",
"When playing Otello the empty fileds at the end of the game are conted for the player with more stones.\n",
"The folowing function calucates that. The result result will be the delta between the score for player 1 (black)."
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"219 µs ± 8.39 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n"
]
}
],
"source": [
"def final_boards_evaluation(boards: np.ndarray) -> np.ndarray:\n",
" \"\"\"Evaluates the board at the end of the game.\n",
"\n",
" All unused fields are added to the score of the player that has more stones with his color up.\n",
" This score only applies to the end of the game.\n",
" Normally the score is represented by the number of stones each player has.\n",
" In this case the score was combined by building the difference.\n",
"\n",
" Args:\n",
" boards: A stack of game bords ot the end of the game. Shaped (n * 8 * 8)\n",
"\n",
" Returns:\n",
" the combined score for both player.\n",
" \"\"\"\n",
" score1, score2 = np.sum(boards == 1, axis=(1, 2)), np.sum(boards == -1, axis=(1, 2))\n",
" player_1_won = score1 > score2\n",
" player_2_won = score1 < score2\n",
" score1_final = 64 - score2[player_1_won] * 2\n",
" score2_final = 64 - score1[player_2_won] * 2\n",
" score = np.zeros(boards.shape[0])\n",
" score[player_1_won] = score1_final\n",
" score[player_2_won] = -score2_final\n",
" return score\n",
"\n",
"\n",
"np.random.seed(2)\n",
"_baords = simulate_game(10, (RandomPolicy(1), RandomPolicy(1)))[0]\n",
"np.testing.assert_array_equal(\n",
" np.sum(_baords[-1], axis=(1, 2)), final_boards_evaluation(_baords[-1])\n",
")\n",
"np.random.seed(2)\n",
"np.testing.assert_array_equal(\n",
" np.array([-6.0, -36.0, -12.0, -16.0, 38.0, -12.0, 2.0, -22.0, 2.0, 10.0]),\n",
" final_boards_evaluation(\n",
" simulate_game(10, (RandomPolicy(1), RandomPolicy(1)))[0][-1]\n",
" ),\n",
")\n",
"\n",
"np.random.seed(2)\n",
"boards = simulate_game(10, (RandomPolicy(1), RandomPolicy(1)))[0][-1]\n",
"boards[:, 4, :] = 0\n",
"np.testing.assert_array_equal(\n",
" np.array([-14.0, -38.0, -14.0, -22.0, 40.0, -16.0, -14.0, -28.0, 0.0, 20.0]),\n",
" final_boards_evaluation(boards),\n",
")\n",
"\n",
"_boards = get_new_games(EXAMPLE_STACK_SIZE)\n",
"%timeit final_boards_evaluation(_boards)"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"def calculate_final_evaluation_for_history(board_history: np.ndarray) -> np.ndarray:\n",
" \"\"\"Calculates the final scores for a stack of game histories.\n",
"\n",
" Args:\n",
" board_history: A stack of game histories.\n",
" \"\"\"\n",
" final_evaluation = final_boards_evaluation(board_history[-1])\n",
" return final_evaluation / 64\n",
"\n",
"\n",
"np.random.seed(2)\n",
"_boards = simulate_game(10, (RandomPolicy(1), RandomPolicy(1)))[0]\n",
"np.testing.assert_array_equal(\n",
" np.array([-6.0, -36.0, -12.0, -16.0, 38.0, -12.0, 2.0, -22.0, 2.0, 10.0]) / 64,\n",
" calculate_final_evaluation_for_history(_boards),\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"assert len(calculate_final_evaluation_for_history(_board_history).shape) == 1\n",
"_final_eval = calculate_final_evaluation_for_history(_board_history)\n",
"plt.title(\"Histogram over the final score distribution\")\n",
"plt.hist((_final_eval * 64), density=True)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": []
},
"source": [
"### Evaluation game by stones only\n",
"\n",
"The next evaluation is just by counting stones by color and building the difference between both. In this implementation it can also be called the sum of a board."
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"37.9 µs ± 1.77 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n"
]
}
],
"source": [
"def evaluate_boards(boards: np.ndarray) -> np.ndarray:\n",
" \"\"\"Counts the stones each player has on the board.\n",
"\n",
" Args:\n",
" boards: A stack of boards for evaluation. Shaped (n * 8 * 8)\n",
"\n",
" Returns:\n",
" the combined score for both players.\n",
" \"\"\"\n",
" assert boards.shape[-2:] == (8, 8)\n",
" return np.sum(boards, axis=(-1, -2))\n",
"\n",
"\n",
"np.random.seed(1)\n",
"np.testing.assert_array_equal(\n",
" evaluate_boards(simulate_game(10, (RandomPolicy(1), RandomPolicy(1)))[0][-1]),\n",
" np.array([-30, -14, -8, 4, -4, -8, -36, 14, -16, -4]),\n",
")\n",
"np.random.seed(2)\n",
"np.testing.assert_array_equal(\n",
" evaluate_boards(simulate_game(10, (RandomPolicy(1), RandomPolicy(1)))[0][-1]),\n",
" np.array([-6, -36, -12, -16, 38, -12, 2, -22, 2, 10]),\n",
")\n",
"np.testing.assert_array_equal(\n",
" evaluate_boards(simulate_game(10, (RandomPolicy(1), RandomPolicy(1)))[0]).shape,\n",
" (70, 10),\n",
")\n",
"np.random.seed(3)\n",
"np.testing.assert_array_equal(\n",
" evaluate_boards(simulate_game(10, (RandomPolicy(1), RandomPolicy(1)))[0][:4, :3]),\n",
" np.array([[0, 0, 0], [3, 3, 3], [0, 0, 0], [5, 3, 3]]),\n",
")\n",
"\n",
"_boards = get_new_games(EXAMPLE_STACK_SIZE)\n",
"%timeit evaluate_boards(_boards)"
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"_eval = evaluate_boards(_board_history[-1])\n",
"plt.title(\"Histogram over the final score distribution\")\n",
"plt.hist(_eval, density=True)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Evaluate the winner of a game\n",
"\n",
"The last function evaluates who won by calculating who signum function of the sum of the numpy array representing the baord.\n",
"The resulting number would be one if the game was wone by the player (white) or -1 if the enemy (black) won. The result would also "
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"87.9 µs ± 5.91 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n"
]
}
],
"source": [
"def calculate_who_won(board_history: np.ndarray) -> np.ndarray:\n",
" \"\"\"Checks who won or is winning a game.\n",
"\n",
" Args:\n",
" board_history: A stack of boards for evaluation. Shaped (70 * n * 8 * 8)\n",
"\n",
" Returns:\n",
" The information who won for both player. 1 meaning the player won, -1 means the opponent lost. 0 represents a patt.\n",
" \"\"\"\n",
" assert board_history.shape[-2:] == (8, 8)\n",
" assert board_history.shape[0] == 70\n",
" return np.sign(np.sum(board_history[-1], axis=(1, 2)))\n",
"\n",
"\n",
"np.random.seed(1)\n",
"np.testing.assert_array_equal(\n",
" calculate_who_won(simulate_game(10, (RandomPolicy(1), RandomPolicy(1)))[0]),\n",
" np.array([-1, -1, -1, 1, -1, -1, -1, 1, -1, -1]),\n",
")\n",
"np.random.seed(2)\n",
"np.testing.assert_array_equal(\n",
" calculate_who_won(simulate_game(10, (RandomPolicy(1), RandomPolicy(1)))[0]),\n",
" np.array([-1, -1, -1, -1, 1, -1, 1, -1, 1, 1]),\n",
")\n",
"\n",
"\n",
"_boards = simulate_game(EXAMPLE_STACK_SIZE, (RandomPolicy(1), RandomPolicy(1)))[0]\n",
"%timeit calculate_who_won(_boards)"
]
},
{
"cell_type": "code",
"execution_count": 109,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.title(\"Win distribution\")\n",
"plt.bar(\n",
" [\"black\", \"draw\", \"white\"],\n",
" pd.Series(calculate_who_won(_board_history)).value_counts().sort_index()\n",
" / _board_history.shape[1],\n",
")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Direct turn evaluation\n",
"\n",
"Besides evaluating the turn there is always the possibility to calculate how much of an direct impact a single turn had."
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [],
"source": [
"def calculate_direct_score(board_history: np.ndarray) -> np.ndarray:\n",
" \"\"\"Calculates the delta score for all actions.\n",
"\n",
" Args:\n",
" board_history: A history of board games or a stack of board games. Shaped (70 * n * 8 * 8)\n",
" \"\"\"\n",
" assert board_history.shape[0] == 70\n",
" assert board_history.shape[-2:] == (8, 8)\n",
" direct_score = np.sum(board_history, axis=(-2, -1))\n",
" score = np.zeros_like(direct_score)\n",
" score[:-1] = direct_score[1:] - direct_score[:-1]\n",
" return score / 64\n",
"\n",
"\n",
"assert len(calculate_direct_score(_board_history).shape) == 2\n",
"assert calculate_direct_score(_board_history).shape[0] == SIMULATE_TURNS\n",
"np.random.seed(2)\n",
"np.testing.assert_equal(\n",
" calculate_direct_score(simulate_game(10, (RandomPolicy(1), RandomPolicy(1)))[0])[\n",
" :, 0\n",
" ][:10]\n",
" * 64,\n",
" np.array(\n",
" [3.0, -3.0, 3.0, -5.0, 5.0, -5.0, 3.0, -3.0, 7.0, -5.0],\n",
" ),\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"When plotting the direct score it can be easily seen that the later turnse are point-wise more important. A bad opening however will not allow the player to keep those points. But it is easy to see that points not made at the beginning of the game can be made at the end of the game. This allows for concentration on the gameplay and some preparation at the start of the game."
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "d2cda2cb46a24c2ab3bb2c5b33838505",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"interactive(children=(IntSlider(value=29, description='turn', max=59), Output()), _dom_classes=('widget-intera…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"score_history = calculate_direct_score(_board_history)\n",
"score_history *= 64\n",
"\n",
"\n",
"@interact(turn=(0, 59))\n",
"def hist_direct_score(turn):\n",
" fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 6))\n",
" fig.suptitle(\n",
" f\"Action space size analysis / total size estimate {np.prod(np.extract(mean_possibility_count, mean_possibility_count)):.4g}\"\n",
" )\n",
"\n",
" ax1.set_title(\n",
" f\"Histogram of scores changes on turn {turn} by {'white' if turn % 2 == 0 else 'black'}\"\n",
" )\n",
" score = score_history[turn]\n",
" bins = max(1, int(max(score) - min(score)))\n",
" ax1.hist(score, density=True, bins=bins)\n",
" ax1.set_xlabel(\"Points made\")\n",
" ax1.set_ylabel(\"Score probability\")\n",
" ax2.set_title(\"Points scored at turn\")\n",
" ax2.set_xlabel(\"Turn\")\n",
" ax2.set_ylabel(\"Average points scored\")\n",
" ax2.errorbar(\n",
" range(60),\n",
" np.abs(np.mean(score_history, axis=1)[:60]),\n",
" yerr=np.std(score_history, axis=1)[:60],\n",
" label=\"Mean score at turn\",\n",
" )\n",
" ax2.scatter(\n",
" turn, np.abs(np.mean(score_history, axis=1))[:60][turn], marker=\"x\", color=\"red\"\n",
" )\n",
" ax2.legend()\n",
" plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Creating Q-Learning Policies\n",
"Q-learning is a classic reinforcement learning technique. The Q-function is an action-value function that returns the expected value of an action in a given state.\n",
"\n",
"$Q^\\pi(s_t,a_t)=\\sum^{60}_{t=turn}\\gamma^{60-t} \\cdot R_t$\n",
"\n",
"With this function, all actions in a given state can be evaluated, and the most beneficial action can be taken. With classical reinforcement learning, a table for situations and actions is explored and slowly filled. With ANNs, there is the possibility to use an AI model that can interpolate between situations and should not need to explore the complete game tree to solve some situations.\n",
"\n",
"### Calculating discount tables\n",
"\n",
"Since the game stack contains all steps, even if no action is possible, this needs to be corrected. The normal formula for a reward is:\n",
"\n",
"$E(s_{turn},a_{turn}) = \\sum^{60}_{t=turn}\\gamma^{60-t} \\cdot R_t$\n",
"\n",
"Since turns that can't be taken do not have the element of uncertainty, the discounting has to be excluded by setting the value to $1$ instead of $\\gamma$.\n",
"\n",
"$\\gamma^*_t =\\begin{cases}1 & |a_t|=0\\\\gamma & |a_t|>0\\end{cases}$\n",
"\n",
"$E(s_{turn},a_{turn}) = \\prod_{t=turn}^{70}\\gamma^*_t \\cdot R_t$\n",
"\n",
"The table below contains the aggregated discount factors ($\\prod_{t=turn}^{70}\\gamma^*_t$) for each reward fitting to the state history. This setup also allows to reward the certainty gained by taking the choice of the action from the opponent. It can be argued that also all turns where a player had no choice how to act should not be discounted. But this will increase calculation requirements to nearly double, which is currently not acceptable since computation time and code complexity are bottlenecks."
]
},
{
"cell_type": "code",
"execution_count": 113,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [],
"source": [
"def get_gamma_table(board_history: np.ndarray, gamma_value: float) -> np.ndarray:\n",
" \"\"\"Calculates a discount table for a board history.\n",
"\n",
" Args:\n",
" board_history: A history of game boards. Shaped (70 * n * 8 * 8)\n",
" gamma_value: The default discount factor.\n",
" \"\"\"\n",
" unchanged = history_changed(board_history)\n",
" gamma_values = np.ones_like(unchanged, dtype=float)\n",
" gamma_values[unchanged] = gamma_value\n",
" return gamma_values\n",
"\n",
"\n",
"assert get_gamma_table(_board_history, 0.8).shape == _board_history.shape[:2]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Calculating rewords\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 114,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"text/plain": [
"array([[-9.07181894e-11, -3.85552305e-10, 6.80386421e-11, ...,\n",
" 9.07181894e-11, 0.00000000e+00, 1.13397737e-10],\n",
" [-1.29597413e-10, -5.50789007e-10, 9.71980601e-11, ...,\n",
" 1.29597413e-10, 0.00000000e+00, 1.61996767e-10],\n",
" [-1.85139162e-10, -7.86841439e-10, 1.38854372e-10, ...,\n",
" 1.85139162e-10, 0.00000000e+00, 2.31423953e-10],\n",
" ...,\n",
" [-1.78571429e-01, -7.58928571e-01, 1.33928571e-01, ...,\n",
" 1.78571429e-01, 0.00000000e+00, 2.23214286e-01],\n",
" [-1.78571429e-01, -7.58928571e-01, 1.33928571e-01, ...,\n",
" 1.78571429e-01, 0.00000000e+00, 2.23214286e-01],\n",
" [-1.78571429e-01, -7.58928571e-01, 1.33928571e-01, ...,\n",
" 1.78571429e-01, 0.00000000e+00, 2.23214286e-01]])"
]
},
"execution_count": 114,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def calculate_q_reword(\n",
" board_history: np.ndarray,\n",
" who_won_fraction: float = 0.2,\n",
" final_score_fraction: float = 0.2,\n",
" gamma: float = 0.8,\n",
") -> np.ndarray:\n",
" \"\"\"\n",
"\n",
" Args:\n",
" board_history:\n",
" who_won_fraction:\n",
" final_score_fraction:\n",
" gamma:\n",
" \"\"\"\n",
" assert who_won_fraction + final_score_fraction <= 1\n",
" assert final_score_fraction >= 0\n",
" assert who_won_fraction >= 0\n",
"\n",
" gama_table = get_gamma_table(board_history, gamma)\n",
" combined_score = np.zeros_like(gama_table)\n",
" combined_score += calculate_direct_score(board_history) * (\n",
" 1 - (who_won_fraction + final_score_fraction)\n",
" )\n",
" combined_score[-1] += (\n",
" calculate_final_evaluation_for_history(board_history)\n",
" * final_score_fraction\n",
" / 0.7\n",
" )\n",
" combined_score[-1] += calculate_who_won(board_history) * who_won_fraction\n",
" for turn in range(SIMULATE_TURNS - 1, 0, -1):\n",
" values = gama_table[turn] * combined_score[turn]\n",
" combined_score[turn - 1] += values\n",
"\n",
" return combined_score\n",
"\n",
"\n",
"calculate_q_reword(\n",
" _board_history, gamma=0.7, who_won_fraction=0, final_score_fraction=1\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 115,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"text/plain": [
"array([-1.53249554e-06, -1.91561943e-06, -2.39452428e-06, -2.99315535e-06,\n",
" -3.74144419e-06, -4.67680524e-06, -5.84600655e-06, -7.30750819e-06,\n",
" -9.13438523e-06, -1.14179815e-05, -1.42724769e-05, -1.78405962e-05,\n",
" -2.23007452e-05, -2.78759315e-05, -3.48449144e-05, -4.35561430e-05,\n",
" -5.44451787e-05, -6.80564734e-05, -8.50705917e-05, -1.06338240e-04,\n",
" -1.32922800e-04, -1.66153499e-04, -2.07691874e-04, -2.59614843e-04,\n",
" -3.24518554e-04, -4.05648192e-04, -5.07060240e-04, -6.33825300e-04,\n",
" -7.92281625e-04, -9.90352031e-04, -1.23794004e-03, -1.54742505e-03,\n",
" -1.93428131e-03, -2.41785164e-03, -3.02231455e-03, -3.77789319e-03,\n",
" -4.72236648e-03, -5.90295810e-03, -7.37869763e-03, -9.22337204e-03,\n",
" -1.15292150e-02, -1.44115188e-02, -1.80143985e-02, -2.25179981e-02,\n",
" -2.81474977e-02, -3.51843721e-02, -4.39804651e-02, -5.49755814e-02,\n",
" -6.87194767e-02, -8.58993459e-02, -1.07374182e-01, -1.34217728e-01,\n",
" -1.67772160e-01, -2.09715200e-01, -2.62144000e-01, -3.27680000e-01,\n",
" -4.09600000e-01, -5.12000000e-01, -6.40000000e-01, -6.40000000e-01,\n",
" -8.00000000e-01, -8.00000000e-01, -1.00000000e+00, -1.00000000e+00,\n",
" -1.00000000e+00, -1.00000000e+00, -1.00000000e+00, -1.00000000e+00,\n",
" -1.00000000e+00, -1.00000000e+00])"
]
},
"execution_count": 115,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"calculate_q_reword(\n",
" _board_history, gamma=0.8, who_won_fraction=1, final_score_fraction=0\n",
")[:, 0]"
]
},
{
"cell_type": "code",
"execution_count": 116,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"text/plain": [
"array([ 1.53941436, -1.82573204, 1.46783494, -1.91520632,\n",
" 1.3559921 , -4.55500988, 0.55623766, -3.05470293,\n",
" -0.06837866, -6.33547333, 0.83065834, -2.71167707,\n",
" 0.36040366, -3.29949543, 2.12563071, -3.59296161,\n",
" 6.75879799, 4.69849749, 9.62312186, 5.77890232,\n",
" 13.47362791, 8.09203488, 13.8650436 , 1.0813045 ,\n",
" 5.10163063, 0.12703829, 3.90879786, 1.13599733,\n",
" 5.16999666, -4.78750418, 0.26561978, -3.41797528,\n",
" 1.9775309 , -3.77808638, -0.97260797, -7.46575996,\n",
" 1.91780005, -1.35274994, 4.55906257, -8.05117178,\n",
" 1.18603527, -4.76745591, 0.29068011, -3.38664986,\n",
" -0.48331232, -4.3541404 , 3.3073245 , 0.38415562,\n",
" 4.23019452, 1.53774316, 8.17217894, 1.46522368,\n",
" 5.5815296 , -4.273088 , -1.59136 , -15.7392 ,\n",
" -8.424 , -24.28 , -26.6 , -26.6 ,\n",
" -17. , -17. , 0. , 0. ,\n",
" 0. , 0. , 0. , 0. ,\n",
" 0. , 0. ])"
]
},
"execution_count": 116,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"calculate_q_reword(\n",
" _board_history, gamma=0.8, who_won_fraction=0, final_score_fraction=0\n",
")[:, 0] * 64"
]
},
{
"cell_type": "code",
"execution_count": 117,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [],
"source": [
"def weights_init_normal(m):\n",
" \"\"\"Takes in a module and initializes all linear layers with weight\n",
" values taken from a normal distribution.\n",
" Source: https://stackoverflow.com/a/55546528/11003343\n",
" \"\"\"\n",
"\n",
" classname = m.__class__.__name__\n",
" # for every Linear layer in a model\n",
" if classname.find(\"Linear\") != -1:\n",
" y = m.in_features\n",
" # m.weight.data should be taken from a normal distribution\n",
" m.weight.data.normal_(0.0, 1 / np.sqrt(y))\n",
" # m.bias.data should be 0\n",
" m.bias.data.fill_(0)"
]
},
{
"cell_type": "code",
"execution_count": 118,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [],
"source": [
"class DQLNet(nn.Module):\n",
" def __init__(self):\n",
" super().__init__()\n",
" self.fc1 = nn.Linear(8 * 8 * 2, 128 * 2)\n",
" self.fc2 = nn.Linear(128 * 2, 128 * 3)\n",
" self.fc3 = nn.Linear(128 * 3, 128 * 2)\n",
" self.fc4 = nn.Linear(128 * 2, 1)\n",
"\n",
" def forward(self, x):\n",
" if isinstance(x, np.ndarray):\n",
" x = torch.from_numpy(x).float()\n",
" x = torch.flatten(x, 1)\n",
" x = self.fc1(x)\n",
" x = functional.relu(x)\n",
" x = self.fc2(x)\n",
" x = functional.relu(x)\n",
" x = self.fc3(x)\n",
" x = functional.relu(x)\n",
" x = self.fc4(x)\n",
" x = torch.tanh(x)\n",
" return x\n",
"\n",
"\n",
"class DQLSimple(nn.Module):\n",
" def __init__(self):\n",
" super().__init__()\n",
" self.fc1 = nn.Linear(8 * 8 * 2, 64 * 3)\n",
" self.fc2 = nn.Linear(64 * 3, 128 * 2)\n",
" self.fc3 = nn.Linear(128 * 2, 1)\n",
"\n",
" def forward(self, x):\n",
" if isinstance(x, np.ndarray):\n",
" x = torch.from_numpy(x).float()\n",
" x = torch.flatten(x, 1)\n",
" x = self.fc1(x)\n",
" x = functional.relu(x)\n",
" x = self.fc2(x)\n",
" x = functional.relu(x)\n",
" x = self.fc3(x)\n",
" x = torch.tanh(x)\n",
" return x\n",
"\n",
"\n",
"assert DQLNet().forward(np.zeros((5, 2, 8, 8))).shape == (5, 1)"
]
},
{
"cell_type": "code",
"execution_count": 119,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [],
"source": [
"class SymmetryMode(Enum):\n",
" MULTIPLY = \"MULTIPLY\"\n",
" BREAK_SEQUENCE = \"BREAK_SEQUENCE\""
]
},
{
"cell_type": "code",
"execution_count": 120,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"((70, 100, 8, 8), (70, 100, 2))"
]
},
"execution_count": 120,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"_board_history, _action_history = simulate_game(100, (RandomPolicy(1), RandomPolicy(1)))\n",
"_board_history.shape, _action_history.shape"
]
},
{
"cell_type": "code",
"execution_count": 121,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"6.31 ms ± 334 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n",
"peak memory: 580.32 MiB, increment: 0.04 MiB\n"
]
},
{
"data": {
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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def action_to_q_learning_format(\n",
" board_history: np.ndarray, action_history: np.ndarray\n",
") -> np.ndarray:\n",
" q_learning_format = np.zeros(\n",
" (SIMULATE_TURNS, board_history.shape[1], 2, 8, 8), dtype=float\n",
" )\n",
" q_learning_format[:, :, 0, :, :] = board_history\n",
" q_learning_format[:, :, 1, :, :] = -1\n",
"\n",
" game_index = list(range(board_history.shape[1]))\n",
" for turn_index in range(SIMULATE_TURNS):\n",
" q_learning_format[\n",
" turn_index,\n",
" game_index,\n",
" 1,\n",
" action_history[turn_index, game_index, 0],\n",
" action_history[turn_index, game_index, 1],\n",
" ] = 1\n",
" return q_learning_format\n",
"\n",
"\n",
"%timeit action_to_q_learning_format(_board_history, _action_history)\n",
"%memit action_to_q_learning_format(_board_history, _action_history)\n",
"\n",
"\n",
"plot_othello_boards(\n",
" action_to_q_learning_format(_board_history, _action_history)[:8, 0, 0]\n",
")\n",
"plot_othello_boards(\n",
" action_to_q_learning_format(_board_history, _action_history)[:8, 0, 1]\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"46.4 ms ± 1.36 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n",
"peak memory: 576.92 MiB, increment: 0.01 MiB\n"
]
},
{
"data": {
"text/plain": [
"(2, 2, 2, 70, 100, 2, 8, 8)"
]
},
"execution_count": 122,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def build_symetry_action(\n",
" board_history: np.ndarray, action_history: np.ndarray\n",
") -> np.ndarray:\n",
" board_history = board_history.copy()\n",
" board_history[1::2] *= -1\n",
" q_learning_format = np.zeros(\n",
" (2, 2, 2, SIMULATE_TURNS, board_history.shape[1], 2, 8, 8)\n",
" )\n",
" q_learning_format[0, 0, 0, :, :, :, :, :] = action_to_q_learning_format(\n",
" board_history, action_history\n",
" )\n",
" q_learning_format[1, 0, 0, :, :, :, :, :] = np.transpose(\n",
" q_learning_format[0, 0, 0, :, :, :, :, :], [0, 1, 2, 4, 3]\n",
" )\n",
" q_learning_format[:, 1, 0, :, :, :, :, :] = q_learning_format[\n",
" :, 0, 0, :, :, :, ::-1, :\n",
" ]\n",
" q_learning_format[:, :, 1, :, :, :, :, :] = q_learning_format[\n",
" :, :, 0, :, :, :, :, ::-1\n",
" ]\n",
" return q_learning_format\n",
"\n",
"\n",
"%timeit build_symetry_action(_board_history, _action_history)\n",
"%memit build_symetry_action(_board_history, _action_history)\n",
"build_symetry_action(_board_history, _action_history).shape"
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [],
"source": [
"def live_history(training_history: pd.DataFrame, ai_name: str | None):\n",
" clear_output(wait=True)\n",
" fig, (ax1, ax2, ax3) = plt.subplots(ncols=3, figsize=(14, 7))\n",
" _ = training_history[\n",
" [c for c in training_history.columns if c[1] == \"final_score\"]\n",
" ].plot(ax=ax1)\n",
" plt.title(\"Final score\")\n",
" plt.xlabel(\"epochs\")\n",
" _ = training_history[[c for c in training_history.columns if \"win\" in c[1]]].plot(\n",
" ax=ax2\n",
" )\n",
" plt.title(\"Win score\")\n",
" plt.xlabel(\"epochs\")\n",
" _ = np.sqrt(\n",
" training_history[[c for c in training_history.columns if \"loss\" == c[0]]]\n",
" ).plot(ax=ax3)\n",
" ax3.set_yscale(\"log\")\n",
" plt.xlabel(\"epochs\")\n",
" if max_epochs:\n",
" plt.xlim(0, max_epochs)\n",
"\n",
" plt.title(\"Loss\")\n",
" fig.subtitle(f\"Training history of {ai_name}\" if ai_name else f\"Training history\")\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [],
"source": [
"class QLPolicy(GamePolicy):\n",
" # noinspection PyProtectedMember\n",
" def __init__(\n",
" self,\n",
" epsilon: float,\n",
" neural_network: DQLNet | DQLSimple,\n",
" symmetry_mode: SymmetryMode,\n",
" gamma: float = 0.8,\n",
" who_won_fraction: float = 0,\n",
" final_score_fraction: float = 0,\n",
" optimizer: torch.optim.Optimizer | None = None,\n",
" loss: nn.modules.loss._Loss | None = None,\n",
" ):\n",
" super().__init__(epsilon)\n",
" assert 0 <= gamma <= 1\n",
" self.gamma: float = gamma\n",
" del gamma\n",
" self.symmetry_mode: SymmetryMode = symmetry_mode\n",
" del symmetry_mode\n",
" self.neural_network: DQLNet | DQLSimple = neural_network\n",
" del neural_network\n",
" self.who_won_fraction: float = who_won_fraction\n",
" del who_won_fraction\n",
" self.final_score_fraction: float = final_score_fraction\n",
" del final_score_fraction\n",
"\n",
" if optimizer is None:\n",
" self.optimizer = torch.optim.Adam(self.neural_network.parameters(), lr=5e-5)\n",
" else:\n",
" self.optimizer = optimizer\n",
" if loss is None:\n",
" self.loss = nn.MSELoss()\n",
" else:\n",
" self.loss = loss\n",
" self.training_results: list[dict[tuple[str, str], float]] = []\n",
" self.loss_history: list[float] = []\n",
"\n",
" @property\n",
" def policy_name(self) -> str:\n",
" symmetry_name = {SymmetryMode.MULTIPLY: \"M\", SymmetryMode.BREAK_SEQUENCE: \"B\"}\n",
" g = f\"{self.gamma:.1f}\".replace(\".\", \"\")\n",
" ww = f\"{self.who_won_fraction:.1f}\".replace(\".\", \"\")\n",
" fsf = f\"{self.final_score_fraction:.1f}\".replace(\".\", \"\")\n",
" return f\"QL-{symmetry_name[self.symmetry_mode]}-G{g}-WW{ww}-FSF{fsf}-{self.neural_network.__class__.__name__}-{self.loss.__class__.__name__}\"\n",
"\n",
" def __repr__(self) -> str:\n",
" return self.policy_name\n",
"\n",
" def __str__(self) -> str:\n",
" return self.policy_name\n",
"\n",
" def _internal_policy(self, boards: np.ndarray) -> np.ndarray:\n",
" results = np.zeros_like(boards, dtype=float)\n",
" results = torch.from_numpy(results).float()\n",
" q_learning_boards = np.zeros((boards.shape[0], 2, 8, 8))\n",
" q_learning_boards[:, 0, :, :] = boards\n",
" poss_turns = boards == 0 # checks where fields are empty.\n",
" poss_turns &= binary_dilation(boards == -1, SURROUNDING)\n",
" turn_possible = np.any(poss_turns, axis=0)\n",
" for action_x, action_y in itertools.product(range(8), range(8)):\n",
" if not turn_possible[action_x, action_y]:\n",
" continue\n",
" _q_learning_board = q_learning_boards[\n",
" poss_turns[range(boards.shape[0]), action_x, action_y]\n",
" ].copy()\n",
" _q_learning_board[\n",
" range(_q_learning_board.shape[0]), 1, action_x, action_y\n",
" ] = 1\n",
"\n",
" ql_result = self.neural_network.forward(_q_learning_board)\n",
" results[poss_turns[:, action_x, action_y], action_x, action_y] = (\n",
" ql_result.reshape(-1) + 0.1\n",
" )\n",
" return results.cpu().detach().numpy()\n",
"\n",
" def generate_trainings_data(\n",
" self, generate_data_size: int\n",
" ) -> tuple[torch.Tensor, torch.Tensor]:\n",
" train_boards, train_actions = simulate_game(generate_data_size, (self, self))\n",
" action_possible = ~np.all(train_actions[:, :] == -1, axis=2)\n",
" q_leaning_formatted_action = build_symetry_action(train_boards, train_actions)\n",
" q_rewords = calculate_q_reword(\n",
" board_history=train_boards,\n",
" who_won_fraction=self.who_won_fraction,\n",
" final_score_fraction=self.final_score_fraction,\n",
" )\n",
" q_rewords[1::2, :] *= -1\n",
" if self.symmetry_mode == SymmetryMode.MULTIPLY:\n",
" new_q_rewords = np.zeros((2, 2, 2) + q_rewords.shape)\n",
" for i, k, j in itertools.product((0, 1), (0, 1), (0, 1)):\n",
" new_q_rewords[i, k, j] = q_rewords\n",
" q_rewords = new_q_rewords\n",
" action_possible = np.array([action_possible] * 8).reshape(-1)\n",
"\n",
" elif self.symmetry_mode == SymmetryMode.BREAK_SEQUENCE:\n",
" axis1 = np.random.randint(0, high=2, size=SIMULATE_TURNS, dtype=int)\n",
" axis2 = np.random.randint(0, high=2, size=SIMULATE_TURNS, dtype=int)\n",
" axis3 = np.random.randint(0, high=2, size=SIMULATE_TURNS, dtype=int)\n",
" q_leaning_formatted_action = q_leaning_formatted_action[\n",
" axis1, axis2, axis3, range(SIMULATE_TURNS)\n",
" ]\n",
" action_possible = action_possible.reshape(-1)\n",
"\n",
" return (\n",
" torch.from_numpy(\n",
" q_leaning_formatted_action.reshape(-1, 2, BOARD_SIZE, BOARD_SIZE)[\n",
" action_possible\n",
" ]\n",
" ).float(),\n",
" torch.from_numpy(q_rewords.reshape(-1, 1)[action_possible]).float(),\n",
" )\n",
"\n",
" def train_batch(self, nr_of_games: int) -> None:\n",
" x_train, y_train = self.generate_trainings_data(nr_of_games)\n",
" y_pred = self.neural_network.forward(x_train)\n",
" loss_score = self.loss(y_pred, y_train)\n",
" self.optimizer.zero_grad()\n",
" self.loss_history.append(loss_score.item())\n",
" loss_score.backward()\n",
" # Update the parameters\n",
" self.optimizer.step()\n",
" # generate trainings data\n",
"\n",
" def evaluate_model(self, compare_models: list[GamePolicy], nr_of_games: int):\n",
" result_dict: dict[tuple[str, str], float] = {}\n",
" eval_copy = copy.copy(self)\n",
" eval_copy._epsilon = 1\n",
" for model in compare_models:\n",
" boards_black, _ = simulate_game(nr_of_games, (eval_copy, model))\n",
" boards_white, _ = simulate_game(nr_of_games, (model, eval_copy))\n",
" win_eval_white = calculate_who_won(boards_white)\n",
" win_eval_black = calculate_who_won(boards_black)\n",
" result_dict[(model.policy_name, \"final_score\")] = (\n",
" float(\n",
" np.mean(\n",
" calculate_final_evaluation_for_history(boards_black)\n",
" + (calculate_final_evaluation_for_history(boards_white) * -1)\n",
" )\n",
" )\n",
" * 64\n",
" )\n",
" result_dict[(model.policy_name, \"white_win\")] = (\n",
" np.sum(win_eval_white == -1) / nr_of_games\n",
" )\n",
" result_dict[(model.policy_name, \"white_lose\")] = (\n",
" np.sum(win_eval_white == 1) / nr_of_games\n",
" )\n",
" result_dict[(model.policy_name, \"black_win\")] = (\n",
" np.sum(win_eval_black == 1) / nr_of_games\n",
" )\n",
" result_dict[(model.policy_name, \"black_lose\")] = (\n",
" np.sum(win_eval_black == -1) / nr_of_games\n",
" )\n",
"\n",
" result_dict[(\"loss\", \"mean\")] = float(np.mean(np.array(self.loss_history)))\n",
" result_dict[(\"loss\", \"min\")] = np.min(np.array(self.loss_history))\n",
" result_dict[(\"loss\", \"max\")] = np.max(np.array(self.loss_history))\n",
" self.loss_history = []\n",
" result_dict[(\"base\", \"base\")] = nr_of_games\n",
" return result_dict\n",
"\n",
" def save(self):\n",
" filename: str = f\"{self.policy_name}-{len(self.training_results)}\"\n",
" with open(TRAINING_RESULT_PATH / Path(f\"{filename}.pickle\"), \"wb\") as f:\n",
" pickle.dump(self.training_results, f)\n",
" torch.save(\n",
" self.neural_network.state_dict(),\n",
" TRAINING_RESULT_PATH / Path(f\"{filename}.torch\"),\n",
" )\n",
"\n",
" def load(self):\n",
" pickle_files = glob.glob(f\"{TRAINING_RESULT_PATH}/{self.policy_name}-*.pickle\")\n",
" torch_files = glob.glob(f\"{TRAINING_RESULT_PATH}/{self.policy_name}-*.torch\")\n",
"\n",
" assert len(pickle_files) == len(torch_files)\n",
" if not pickle_files:\n",
" return\n",
"\n",
" pickle_dict = {\n",
" int(file.split(\"-\")[-1].split(\".\")[0]): file for file in pickle_files\n",
" }\n",
" torch_dict = {\n",
" int(file.split(\"-\")[-1].split(\".\")[0]): file for file in torch_files\n",
" }\n",
" pickle_file = pickle_dict[max(pickle_dict.keys())]\n",
" torch_file = torch_dict[max(torch_dict.keys())]\n",
"\n",
" with open(pickle_file, \"rb\") as f:\n",
" self.training_results = pickle.load(f)\n",
"\n",
" self.neural_network.load_state_dict(torch.load(Path(torch_file)))\n",
"\n",
" def train(\n",
" self,\n",
" epochs: int,\n",
" batches: int,\n",
" batch_size: int,\n",
" eval_batch_size: int,\n",
" compare_with: list[GamePolicy],\n",
" save_every_epoch: bool = True,\n",
" live_plot: bool = True,\n",
" ) -> pd.DataFrame:\n",
" assert epochs > 0\n",
" epoch_progress = tqdm(range(epochs), unit=\"epoch\")\n",
" for _ in epoch_progress:\n",
" for _ in tqdm(range(batches), unit=\"batch\"):\n",
" self.train_batch(batch_size)\n",
" self.training_results.append(\n",
" self.evaluate_model(compare_with, eval_batch_size)\n",
" )\n",
" if save_every_epoch:\n",
" self.save()\n",
" if live_plot:\n",
" self.plot_history()\n",
" display(epoch_progress.container)\n",
" return self.history\n",
"\n",
" def plot_history(self) -> None:\n",
" if not self.training_results:\n",
" return None\n",
" return live_history(self.history, None)\n",
"\n",
" @property\n",
" def history(self) -> pd.DataFrame:\n",
" if not self.training_results:\n",
" return pd.DataFrame()\n",
" pandas_result = pd.DataFrame(self.training_results)\n",
" pandas_result.columns = pd.MultiIndex.from_tuples(pandas_result.columns)\n",
" return pandas_result\n",
"\n",
"\n",
"ql_policy1 = QLPolicy(\n",
" 0.95,\n",
" neural_network=DQLNet(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.8,\n",
" who_won_fraction=1,\n",
" final_score_fraction=0,\n",
")\n",
"\n",
"assert copy.copy(ql_policy1) is not ql_policy1\n",
"assert copy.copy(ql_policy1).neural_network is ql_policy1.neural_network\n",
"\n",
"# noinspection PyProtectedMember\n",
"t1, t2 = ql_policy1._internal_policy(get_new_games(2))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Symmetry debug"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
},
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"text/plain": [
"(70, 10, 8, 8)"
]
},
"execution_count": 125,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"_train_boards, _train_actions = simulate_game(10, (RandomPolicy(0), RandomPolicy(0)))\n",
"_action_possible = ~np.all(_train_actions[:, :] == -1, axis=2)\n",
"_q_leaning_formatted_action = action_to_q_learning_format(_train_boards, _train_actions)\n",
"_train_boards.shape"
]
},
{
"cell_type": "raw",
"metadata": {
"tags": []
},
"source": [
"plot_othello_boards(train_boards[:8, 0])\n",
"plot_othello_boards(q_leaning_formatted_action[0:8, 0, 1])"
]
},
{
"cell_type": "raw",
"metadata": {},
"source": [
"ql_policy = QLPolicy(\n",
" 0.95,\n",
" neural_network=DQLNet(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.8,\n",
" who_won_fraction=0,\n",
" final_score_fraction=0,\n",
")\n",
"_batch_size = 100\n",
"%timeit ql_policy.train_batch(_batch_size)\n",
"%memit ql_policy.train_batch(_batch_size)\n",
"%timeit ql_policy.evaluate_model([RandomPolicy(0)], _batch_size)\n",
"%memit ql_policy.evaluate_model([RandomPolicy(0)], _batch_size)"
]
},
{
"cell_type": "raw",
"metadata": {},
"source": [
"ql_policy = QLPolicy(\n",
" 0.95,\n",
" neural_network=DQLNet(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.8,\n",
" who_won_fraction=1,\n",
" final_score_fraction=0,\n",
")\n",
"ql_policy.policy_name"
]
},
{
"cell_type": "code",
"execution_count": 126,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"'QL-M-G09-WW00-FSF10-DQLSimple-MSELoss'"
]
},
"execution_count": 126,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ql_policy1 = QLPolicy(\n",
" 0.92,\n",
" neural_network=DQLSimple(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.9,\n",
" who_won_fraction=0,\n",
" final_score_fraction=1,\n",
")\n",
"ql_policy1.policy_name"
]
},
{
"cell_type": "code",
"execution_count": 141,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"ql_policys = []"
]
},
{
"cell_type": "code",
"execution_count": 142,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"'QL-M-G09-WW00-FSF10-DQLSimple-MSELoss'"
]
},
"execution_count": 142,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ql_policy1 = QLPolicy(\n",
" 0.92,\n",
" neural_network=DQLSimple(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.9,\n",
" who_won_fraction=0,\n",
" final_score_fraction=1,\n",
")\n",
"ql_policys.append(ql_policy1)\n",
"ql_policy1.policy_name"
]
},
{
"cell_type": "code",
"execution_count": 143,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"'QL-M-G08-WW00-FSF10-DQLSimple-MSELoss'"
]
},
"execution_count": 143,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ql_policy2 = QLPolicy(\n",
" 0.92,\n",
" neural_network=DQLSimple(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.8,\n",
" who_won_fraction=0,\n",
" final_score_fraction=1,\n",
")\n",
"ql_policys.append(ql_policy2)\n",
"ql_policy2.policy_name"
]
},
{
"cell_type": "code",
"execution_count": 144,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"'QL-M-G10-WW00-FSF10-DQLSimple-MSELoss'"
]
},
"execution_count": 144,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ql_policy3 = QLPolicy(\n",
" 0.92,\n",
" neural_network=DQLSimple(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=1,\n",
" who_won_fraction=0,\n",
" final_score_fraction=1,\n",
")\n",
"ql_policys.append(ql_policy3)\n",
"ql_policy3.policy_name"
]
},
{
"cell_type": "code",
"execution_count": 145,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"'QL-M-G09-WW10-FSF00-DQLSimple-MSELoss'"
]
},
"execution_count": 145,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ql_policy4 = QLPolicy(\n",
" 0.92,\n",
" neural_network=DQLSimple(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.9,\n",
" who_won_fraction=1,\n",
" final_score_fraction=0,\n",
")\n",
"ql_policys.append(ql_policy4)\n",
"ql_policy4.policy_name"
]
},
{
"cell_type": "code",
"execution_count": 146,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
},
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"text/plain": [
"'QL-M-G09-WW03-FSF03-DQLSimple-MSELoss'"
]
},
"execution_count": 146,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ql_policy5 = QLPolicy(\n",
" 0.95,\n",
" neural_network=DQLSimple(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.9,\n",
" who_won_fraction=0.3,\n",
" final_score_fraction=0.3,\n",
")\n",
"ql_policys.append(ql_policy5)\n",
"ql_policy5.policy_name"
]
},
{
"cell_type": "code",
"execution_count": 147,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
},
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"text/plain": [
"'QL-M-G09-WW03-FSF07-DQLSimple-MSELoss'"
]
},
"execution_count": 147,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ql_policy6 = QLPolicy(\n",
" 0.95,\n",
" neural_network=DQLSimple(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.92,\n",
" who_won_fraction=0.3,\n",
" final_score_fraction=0.65,\n",
")\n",
"ql_policys.append(ql_policy6)\n",
"ql_policy6.policy_name"
]
},
{
"cell_type": "code",
"execution_count": 148,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"'QL-M-G09-WW02-FSF07-DQLSimple-MSELoss'"
]
},
"execution_count": 148,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ql_policy7 = QLPolicy(\n",
" 0.95,\n",
" neural_network=DQLSimple(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.92,\n",
" who_won_fraction=0.2,\n",
" final_score_fraction=0.65,\n",
")\n",
"ql_policys.append(ql_policy7)\n",
"ql_policy7.policy_name"
]
},
{
"cell_type": "code",
"execution_count": 149,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"'QL-M-G08-WW00-FSF10-DQLNet-MSELoss'"
]
},
"execution_count": 149,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ql_policy8 = QLPolicy(\n",
" 0.92,\n",
" neural_network=DQLNet(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.8,\n",
" who_won_fraction=0,\n",
" final_score_fraction=1,\n",
")\n",
"ql_policys.append(ql_policy8)\n",
"ql_policy8.policy_name"
]
},
{
"cell_type": "code",
"execution_count": 150,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"'QL-M-G10-WW00-FSF10-DQLNet-MSELoss'"
]
},
"execution_count": 150,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ql_policy9 = QLPolicy(\n",
" 0.92,\n",
" neural_network=DQLNet(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=1,\n",
" who_won_fraction=0,\n",
" final_score_fraction=1,\n",
")\n",
"ql_policys.append(ql_policy9)\n",
"ql_policy9.policy_name"
]
},
{
"cell_type": "code",
"execution_count": 151,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"'QL-M-G09-WW10-FSF00-DQLNet-MSELoss'"
]
},
"execution_count": 151,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ql_policy10 = QLPolicy(\n",
" 0.92,\n",
" neural_network=DQLNet(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.9,\n",
" who_won_fraction=1,\n",
" final_score_fraction=0,\n",
")\n",
"ql_policys.append(ql_policy10)\n",
"ql_policy10.policy_name"
]
},
{
"cell_type": "code",
"execution_count": 152,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
},
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"text/plain": [
"'QL-M-G09-WW03-FSF03-DQLNet-MSELoss'"
]
},
"execution_count": 152,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ql_policy11 = QLPolicy(\n",
" 0.95,\n",
" neural_network=DQLNet(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.9,\n",
" who_won_fraction=0.3,\n",
" final_score_fraction=0.3,\n",
")\n",
"ql_policys.append(ql_policy11)\n",
"ql_policy11.policy_name"
]
},
{
"cell_type": "code",
"execution_count": 153,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
},
"pycharm": {
"is_executing": true
}
},
"outputs": [
{
"data": {
"text/plain": [
"'QL-M-G09-WW03-FSF07-DQLNet-MSELoss'"
]
},
"execution_count": 153,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ql_policy12 = QLPolicy(\n",
" 0.95,\n",
" neural_network=DQLNet(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.92,\n",
" who_won_fraction=0.3,\n",
" final_score_fraction=0.65,\n",
")\n",
"ql_policys.append(ql_policy12)\n",
"ql_policy12.policy_name"
]
},
{
"cell_type": "code",
"execution_count": 154,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"'QL-M-G09-WW02-FSF07-DQLNet-MSELoss'"
]
},
"execution_count": 154,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ql_policy13 = QLPolicy(\n",
" 0.95,\n",
" neural_network=DQLNet(),\n",
" symmetry_mode=SymmetryMode.MULTIPLY,\n",
" gamma=0.92,\n",
" who_won_fraction=0.2,\n",
" final_score_fraction=0.65,\n",
")\n",
"ql_policys.append(ql_policy13)\n",
"ql_policy13.policy_name"
]
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"probes: int = 1000\n",
"_ = (\n",
" calculate_board_branching(simulate_game(probes, (ql_policy1, ql_policy1))[0]) / probes\n",
").plot(\n",
" ylim=(0, 1),\n",
" title=f\"Branching rate for a QL policy with epsilon={ql_policy1.epsilon}\",\n",
")"
],
"metadata": {
"collapsed": false
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "d5b65d806968471e925990e0a73b862c",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/1 [00:00, ?epoch/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "ec4fbeb7458d4ed98cd863dc0eda19ac",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/10 [00:00, ?batch/s]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"constant_metric_policies = [RandomPolicy(0), GreedyPolicy(0)]\n",
"for i in range(100):\n",
" for ql_policy in ql_policys:\n",
" ql_policy.load()\n",
" ql_policy.train(1, 10, 1000, 250, constant_metric_policies)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [],
"source": [
"ql_policy.history"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [],
"source": [
"policy_list = [\n",
" RandomPolicy(0),\n",
" GreedyPolicy(0),\n",
" ql_policy1,\n",
" ql_policy2,\n",
" ql_policy3,\n",
" ql_policy4,\n",
" ql_policy5,\n",
"]\n",
"\n",
"RESULTS_FILE: Final[str] = \"results.pickle\"\n",
"if not os.path.exists(RESULTS_FILE):\n",
" policy_list = [RandomPolicy(0), GreedyPolicy(0), ql_policy]\n",
" result_df = pd.DataFrame(\n",
" index=[policy.policy_name for policy in policy_list],\n",
" columns=[policy.policy_name for policy in policy_list],\n",
" )\n",
"else:\n",
" result_df = pd.read_pickle(RESULTS_FILE)\n",
"nr_of_eval_games = 2000\n",
"for policy1, policy2 in tqdm(list(itertools.product(policy_list, policy_list))):\n",
" if not pd.isna(result_df.at[policy1.policy_name, policy2.policy_name]):\n",
" continue\n",
" _result_dict = {}\n",
" _boards_black, _ = simulate_game(nr_of_eval_games, (policy1, policy2))\n",
" _win_eval_black = calculate_who_won(_boards_black)\n",
" _result_dict[\"final_score\"] = float(\n",
" np.mean(calculate_final_evaluation_for_history(_boards_black))\n",
" )\n",
" _result_dict[\"win\"] = np.sum(_win_eval_black == 1) / nr_of_eval_games\n",
" _result_dict[\"lose\"] = np.sum(_win_eval_black == -1) / nr_of_eval_games\n",
" result_df.at[policy1.policy_name, policy2.policy_name] = _result_dict\n",
" result_df.to_pickle(RESULTS_FILE)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [],
"source": [
"result_df.applymap(lambda x: x[\"win\"])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [],
"source": [
"result_df.applymap(lambda x: x[\"final_score\"])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [],
"source": [
"raise NotImplementedError"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [],
"source": [
"boards_and_actions, _score = ql_policy.generate_trainings_data(1)\n",
"print(boards_and_actions.shape)\n",
"print(_score.shape)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [],
"source": [
"boards_and_actions.shape"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [],
"source": [
"plot_othello_boards(boards_and_actions[:8, 0])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [],
"source": [
"_score[:8, 0]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"is_executing": true
},
"tags": []
},
"outputs": [],
"source": [
"plot_othello_boards(boards1[:60, 0])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Train a model"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Sources\n",
"\n",
"* Game rules and example board images [https://en.wikipedia.org/wiki/Reversi](https://en.wikipedia.org/wiki/Reversi)\n",
"* Game rules and example game images [https://de.wikipedia.org/wiki/Othello_(Spiel)](https://de.wikipedia.org/wiki/Othello_(Spiel))\n",
"* Game strategy examples [https://de.wikipedia.org/wiki/Computer-Othello](https://de.wikipedia.org/wiki/Computer-Othello)\n",
"* Image for 8 directions [https://www.researchgate.net/journal/EURASIP-Journal-on-Image-and-Video-Processing-1687-5281](https://www.researchgate.net/journal/EURASIP-Journal-on-Image-and-Video-Processing-1687-5281)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"is_executing": true
}
},
"outputs": [],
"source": [
"import sys\n",
"\n",
"\n",
"def sizeof_fmt(num, suffix=\"B\"):\n",
" \"\"\"by Fred Cirera, https://stackoverflow.com/a/1094933/1870254, modified\"\"\"\n",
" for unit in [\"\", \"Ki\", \"Mi\", \"Gi\", \"Ti\", \"Pi\", \"Ei\", \"Zi\"]:\n",
" if abs(num) < 1024.0:\n",
" return \"%3.1f %s%s\" % (num, unit, suffix)\n",
" num /= 1024.0\n",
" return \"%.1f %s%s\" % (num, \"Yi\", suffix)\n",
"\n",
"\n",
"for name, size in sorted(\n",
" ((name, sys.getsizeof(value)) for name, value in list(locals().items())),\n",
" key=lambda x: -x[1],\n",
")[:20]:\n",
" print(\"{:>30}: {:>8}\".format(name, sizeof_fmt(size)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Write story about mixed oreder!\n",
"\n",
"\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.8"
},
"toc-autonumbering": true,
"toc-showcode": false
},
"nbformat": 4,
"nbformat_minor": 4
}