diff --git a/Gym-Wordle-main/.gitignore b/Gym-Wordle-main/.gitignore
new file mode 100644
index 0000000..b6e4761
--- /dev/null
+++ b/Gym-Wordle-main/.gitignore
@@ -0,0 +1,129 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+# Usually these files are written by a python script from a template
+# before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+# However, in case of collaboration, if having platform-specific dependencies or dependencies
+# having no cross-platform support, pipenv may install dependencies that don't work, or not
+# install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
diff --git a/Gym-Wordle-main/LICENSE b/Gym-Wordle-main/LICENSE
new file mode 100644
index 0000000..2841e3b
--- /dev/null
+++ b/Gym-Wordle-main/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2022 David Kraemer
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/Gym-Wordle-main/README.md b/Gym-Wordle-main/README.md
new file mode 100644
index 0000000..c07aa32
--- /dev/null
+++ b/Gym-Wordle-main/README.md
@@ -0,0 +1,78 @@
+# Gym-Wordle
+
+An OpenAI gym compatible environment for training agents to play Wordle.
+
+
+
+ User-input demo of the environment
+
+
+## Installation
+
+My goal is for a minimalist package that lets you install quickly and get on
+with your research. Installation is just a simple call to `pip`:
+
+```
+$ pip install gym_wordle
+```
+
+### Requirements
+
+In keeping with my desire to have a minimalist package, there are only three
+major requirements:
+
+* `numpy`
+* `gym`
+* `sty`, a lovely little package for stylizing text in terminals
+
+## Usage
+
+The basic flow for training agents with the `Wordle-v0` environment is the same
+as with gym environments generally:
+
+```Python
+import gym
+import gym_wordle
+
+eng = gym.make("Wordle-v0")
+
+done = False
+while not done:
+ action = ... # RL magic
+ state, reward, done, info = env.step(action)
+```
+
+If you're like millions of other people, you're a Wordle-obsessive in your own
+right. I have good news for you! The `Wordle-v0` environment currently has an
+implemented `render` method, which allows you to see a human-friendly version
+of the game. And it isn't so hard to set up the environment to play for
+yourself. Here's an example script:
+
+```Python
+from gym_wordle.utils import play
+
+play()
+```
+
+## Documentation
+
+Coming soon!
+
+## Examples
+
+Coming soon!
+
+## Citing
+
+If you decide to use this project in your work, please consider a citation!
+
+```bibtex
+@misc{gym_wordle,
+ author = {Kraemer, David},
+ title = {An Environment for Reinforcement Learning with Wordle},
+ year = {2022},
+ publisher = {GitHub},
+ journal = {GitHub repository},
+ howpublished = {\url{https://github.com/DavidNKraemer/Gym-Wordle}},
+}
+```
diff --git a/Gym-Wordle-main/gym-wordle.toml b/Gym-Wordle-main/gym-wordle.toml
new file mode 100644
index 0000000..235c196
--- /dev/null
+++ b/Gym-Wordle-main/gym-wordle.toml
@@ -0,0 +1,7 @@
+[build-system]
+
+requires = [
+ "setuptools>=42",
+ "wheel"
+]
+build-backend = "setuptools.build_meta"
diff --git a/Gym-Wordle-main/gym_wordle/__init__.py b/Gym-Wordle-main/gym_wordle/__init__.py
new file mode 100644
index 0000000..9efa1cd
--- /dev/null
+++ b/Gym-Wordle-main/gym_wordle/__init__.py
@@ -0,0 +1,7 @@
+from gym.envs.registration import register
+from .wordle import WordleEnv
+
+register(
+ id='Wordle-v0',
+ entry_point='gym_wordle.wordle:WordleEnv'
+)
diff --git a/Gym-Wordle-main/gym_wordle/dictionary/guess_list.csv b/Gym-Wordle-main/gym_wordle/dictionary/guess_list.csv
new file mode 100644
index 0000000..4e333f9
--- /dev/null
+++ b/Gym-Wordle-main/gym_wordle/dictionary/guess_list.csv
@@ -0,0 +1,12972 @@
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\ No newline at end of file
diff --git a/Gym-Wordle-main/gym_wordle/dictionary/guess_list.npy b/Gym-Wordle-main/gym_wordle/dictionary/guess_list.npy
new file mode 100644
index 0000000..c235013
Binary files /dev/null and b/Gym-Wordle-main/gym_wordle/dictionary/guess_list.npy differ
diff --git a/Gym-Wordle-main/gym_wordle/dictionary/solution_list.csv b/Gym-Wordle-main/gym_wordle/dictionary/solution_list.csv
new file mode 100644
index 0000000..5083808
--- /dev/null
+++ b/Gym-Wordle-main/gym_wordle/dictionary/solution_list.csv
@@ -0,0 +1,2315 @@
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+quake
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+quart
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+quest
+queue
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+quote
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+rabbi
+rabid
+racer
+radar
+radii
+radio
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+unmet
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+untie
+until
+unwed
+unzip
+upper
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+using
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+viola
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+vodka
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+voice
+voila
+vomit
+voter
+vouch
+vowel
+vying
+wacky
+wafer
+wager
+wagon
+waist
+waive
+waltz
+warty
+waste
+watch
+water
+waver
+waxen
+weary
+weave
+wedge
+weedy
+weigh
+weird
+welch
+welsh
+wench
+whack
+whale
+wharf
+wheat
+wheel
+whelp
+where
+which
+whiff
+while
+whine
+whiny
+whirl
+whisk
+white
+whole
+whoop
+whose
+widen
+wider
+widow
+width
+wield
+wight
+willy
+wimpy
+wince
+winch
+windy
+wiser
+wispy
+witch
+witty
+woken
+woman
+women
+woody
+wooer
+wooly
+woozy
+wordy
+world
+worry
+worse
+worst
+worth
+would
+wound
+woven
+wrack
+wrath
+wreak
+wreck
+wrest
+wring
+wrist
+write
+wrong
+wrote
+wrung
+wryly
+yacht
+yearn
+yeast
+yield
+young
+youth
+zebra
+zesty
+zonal
\ No newline at end of file
diff --git a/Gym-Wordle-main/gym_wordle/dictionary/solution_list.npy b/Gym-Wordle-main/gym_wordle/dictionary/solution_list.npy
new file mode 100644
index 0000000..a03dd86
Binary files /dev/null and b/Gym-Wordle-main/gym_wordle/dictionary/solution_list.npy differ
diff --git a/Gym-Wordle-main/gym_wordle/utils.py b/Gym-Wordle-main/gym_wordle/utils.py
new file mode 100644
index 0000000..8b6b1a1
--- /dev/null
+++ b/Gym-Wordle-main/gym_wordle/utils.py
@@ -0,0 +1,94 @@
+import numpy as np
+import numpy.typing as npt
+
+from pathlib import Path
+
+
+_chars = ' abcdefghijklmnopqrstuvwxyz'
+_char_d = {c: i for i, c in enumerate(_chars)}
+
+
+def to_english(array: npt.NDArray[np.int64]) -> str:
+ """Converts a numpy integer array into a corresponding English string.
+
+ Args:
+ array: Word in array (int) form. It is assumed that each integer in the
+ array is between 0,...,26 (inclusive).
+
+ Returns:
+ A (lowercase) string representation of the word.
+ """
+ return ''.join(_chars[i] for i in array)
+
+
+def to_array(word: str) -> npt.NDArray[np.int64]:
+ """Converts a string of characters into a corresponding numpy array.
+
+ Args:
+ word: Word in string form. It is assumed that each character in the
+ string is either an empty space ' ' or lowercase alphabetical
+ character.
+
+ Returns:
+ An array representation of the word.
+ """
+ return np.array([_char_d[c] for c in word])
+
+
+def get_words(category: str, build: bool=False) -> npt.NDArray[np.int64]:
+ """Loads a list of words in array form.
+
+ If specified, this will recompute the list from the human-readable list of
+ words, and save the results in array form.
+
+ Args:
+ category: Either 'guess' or 'solution', which corresponds to the list
+ of acceptable guess words and the list of acceptable solution words.
+ build: If True, recomputes and saves the array-version of the computed
+ list for future access.
+
+ Returns:
+ An array representation of the list of words specified by the category.
+ This array has two dimensions, and the number of columns is fixed at
+ five.
+ """
+ assert category in {'guess', 'solution'}
+
+ arr_path = Path(__file__).parent / f'dictionary/{category}_list.npy'
+ if build:
+ list_path = Path(__file__).parent / f'dictionary/{category}_list.csv'
+
+ with open(list_path, 'r') as f:
+ words = np.array([to_array(line.strip()) for line in f])
+ np.save(arr_path, words)
+
+ return np.load(arr_path)
+
+
+def play():
+ """Play Wordle yourself!"""
+ import gym
+ import gym_wordle
+
+ env = gym.make('Wordle-v0') # load the environment
+
+ env.reset()
+ solution = to_english(env.unwrapped.solution_space[env.solution]).upper() # no peeking!
+
+ done = False
+
+ while not done:
+ action = -1
+
+ # in general, the environment won't be forgiving if you input an
+ # invalid word, but for this function I want to let you screw up user
+ # input without consequence, so just loops until valid input is taken
+ while not env.action_space.contains(action):
+ guess = input('Guess: ')
+ action = env.unwrapped.action_space.index_of(to_array(guess))
+
+ state, reward, done, info = env.step(action)
+ env.render()
+
+ print(f"The word was {solution}")
+
diff --git a/Gym-Wordle-main/gym_wordle/wordle.py b/Gym-Wordle-main/gym_wordle/wordle.py
new file mode 100644
index 0000000..4d3e504
--- /dev/null
+++ b/Gym-Wordle-main/gym_wordle/wordle.py
@@ -0,0 +1,286 @@
+import gym
+import numpy as np
+import numpy.typing as npt
+from sty import fg, bg, ef, rs
+
+from collections import Counter
+from gym_wordle.utils import to_english, to_array, get_words
+from typing import Optional
+
+
+class WordList(gym.spaces.Discrete):
+ """Super class for defining a space of valid words according to a specified
+ list.
+
+ TODO: Fix these paragraphs
+ The space is a subclass of gym.spaces.Discrete, where each element
+ corresponds to an index of a valid word in the word list. The obfuscation
+ is necessary for more direct implementation of RL algorithms, which expect
+ spaces of less sophisticated form.
+
+ In addition to the default methods of the Discrete space, it implements
+ a __getitem__ method for easy index lookup, and an index_of method to
+ convert potential words into their corresponding index (if they exist).
+ """
+
+ def __init__(self, words: npt.NDArray[np.int64], **kwargs):
+ """
+ Args:
+ words: Collection of words in array form with shape (_, 5), where
+ each word is a row of the array. Each array element is an integer
+ between 0,...,26 (inclusive).
+ kwargs: See documentation for gym.spaces.MultiDiscrete
+ """
+ super().__init__(words.shape[0], **kwargs)
+ self.words = words
+
+ def __getitem__(self, index: int) -> npt.NDArray[np.int64]:
+ """Obtains the (int-encoded) word associated with the given index.
+
+ Args:
+ index: Index for the list of words.
+
+ Returns:
+ Associated word at the position specified by index.
+ """
+ return self.words[index]
+
+ def index_of(self, word: npt.NDArray[np.int64]) -> int:
+ """Given a word, determine its index in the list (if it exists),
+ otherwise returning -1 if no index exists.
+
+ Args:
+ word: Word to find in the word list.
+
+ Returns:
+ The index of the given word if it exists, otherwise -1.
+ """
+ try:
+ index, = np.nonzero((word == self.words).all(axis=1))
+ return index[0]
+ except:
+ return -1
+
+
+class SolutionList(WordList):
+ """Space for *solution* words to the Wordle environment.
+
+ In the game Wordle, there are two different collections of words:
+
+ * "guesses", which the game accepts as valid words to use to guess the
+ answer.
+ * "solutions", which the game uses to choose solutions from.
+
+ Of course, the set of solutions is a strict subset of the set of guesses.
+
+ Reference: https://fivethirtyeight.com/features/when-the-riddler-met-wordle/
+
+ This class represents the set of solution words.
+ """
+ def __init__(self, **kwargs):
+ """
+ Args:
+ kwargs: See documentation for gym.spaces.MultiDiscrete
+ """
+ words = get_words('solution')
+ super().__init__(words, **kwargs)
+
+
+class WordleObsSpace(gym.spaces.Box):
+ """Implementation of the state (observation) space in terms of gym
+ primatives, in this case, gym.spaces.Box.
+
+ The Wordle observation space can be thought of as a 6x5 array with two
+ channels:
+
+ - the character channel, indicating which characters are placed on the
+ board (unfilled rows are marked with the empty character, 0)
+ - the flag channel, indicating the in-game information associated with
+ each character's placement (green highlight, yellow highlight, etc.)
+
+ where there are 6 rows, one for each turn in the game, and 5 columns, since
+ the solution will always be a word of length 5.
+
+ For simplicity, and compatibility with the stable_baselines algorithms,
+ this multichannel is modeled as a 6x10 array, where the two channels are
+ horizontally appended (along columns). Thus each row in the observation
+ should be interpreted as
+
+ c0 c1 c2 c3 c4 f0 f1 f2 f3 f4
+
+ when the word is c0...c4 and its associated flags are f0...f4.
+
+ While the superclass method `sample` is available to the WordleObsSpace, it
+ should be emphasized that the output of `sample` will (almost surely) not
+ correspond to a real game configuration, because the sampling is not out of
+ possible game configurations. Instead, the Box superclass just samples the
+ integer array space uniformly.
+ """
+
+ def __init__(self, **kwargs):
+ self.n_rows = 6
+ self.n_cols = 5
+ self.max_char = 26
+ self.max_flag = 4
+
+ low = np.zeros((self.n_rows, 2*self.n_cols))
+ high = np.c_[np.full((self.n_rows, self.n_cols), self.max_char),
+ np.full((self.n_rows, self.n_cols), self.max_flag)]
+
+ super().__init__(low, high, dtype=np.int64, **kwargs)
+
+
+class GuessList(WordList):
+ """Space for *solution* words to the Wordle environment.
+
+ In the game Wordle, there are two different collections of words:
+
+ * "guesses", which the game accepts as valid words to use to guess the
+ answer.
+ * "solutions", which the game uses to choose solutions from.
+
+ Of course, the set of solutions is a strict subset of the set of guesses.
+
+ Reference: https://fivethirtyeight.com/features/when-the-riddler-met-wordle/
+
+ This class represents the set of guess words.
+ """
+ def __init__(self, **kwargs):
+ """
+ Args:
+ kwargs: See documentation for gym.spaces.MultiDiscrete
+ """
+ words = get_words('guess')
+ super().__init__(words, **kwargs)
+
+
+class WordleEnv(gym.Env):
+
+ metadata = {'render.modes': ['human']}
+
+ # character flag codes
+ no_char = 0
+ right_pos = 1
+ wrong_pos = 2
+ wrong_char = 3
+
+ def __init__(self):
+ super().__init__()
+
+ self.seed()
+ self.action_space = GuessList()
+ self.solution_space = SolutionList()
+
+ self.observation_space = WordleObsSpace()
+
+ self._highlights = {
+ self.right_pos: (bg.green, bg.rs),
+ self.wrong_pos: (bg.yellow, bg.rs),
+ self.wrong_char: ('', ''),
+ self.no_char: ('', ''),
+ }
+
+ self.n_rounds = 6
+ self.n_letters = 5
+
+ def _highlighter(self, char: str, flag: int) -> str:
+ """Terminal renderer functionality. Properly highlights a character
+ based on the flag associated with it.
+
+ Args:
+ char: Character in question.
+ flag: Associated flag, one of:
+ - 0: no character (render no background)
+ - 1: right position (render green background)
+ - 2: wrong position (render yellow background)
+ - 3: wrong character (render no background)
+
+ Returns:
+ Correct ASCII sequence producing the desired character in the
+ correct background.
+ """
+ front, back = self._highlights[flag]
+ return front + char + back
+
+ def reset(self):
+ self.round = 0
+ self.solution = self.solution_space.sample()
+
+ self.state = np.zeros((self.n_rounds, 2 * self.n_letters),
+ dtype=np.int64)
+
+ return self.state
+
+ def render(self, mode: str ='human'):
+ """Renders the Wordle environment.
+
+ Currently supported render modes:
+
+ - human: renders the Wordle game to the terminal.
+
+ Args:
+ mode: the mode to render with
+ """
+ if mode == 'human':
+ for row in self.states:
+ text = ''.join(map(
+ self._highlighter,
+ to_english(row[:self.n_letters]).upper(),
+ row[self.n_letters:]
+ ))
+
+ print(text)
+ else:
+ super(WordleEnv, self).render(mode=mode)
+
+ def step(self, action):
+ """Run one step of the Wordle game. Every game must be previously
+ initialized by a call to the `reset` method.
+
+ Args:
+ action: Word guessed by the agent.
+ Returns:
+ state (object): Wordle game state after the guess.
+ reward (float): Reward associated with the guess (-1 for incorrect,
+ 0 for correct)
+ done (bool): Whether the game has ended (by a correct guess or
+ after six guesses).
+ info (dict): Auxiliary diagnostic information (empty).
+ """
+ assert self.action_space.contains(action), 'Invalid word!'
+
+ # transform the action, solution indices to their words
+ action = self.action_space[action]
+ solution = self.solution_space[self.solution]
+
+ # populate the word chars into the row (character channel)
+ self.state[self.round][:self.n_letters] = action
+
+ # populate the flag characters into the row (flag channel)
+ counter = Counter()
+ for i, char in enumerate(action):
+ flag_i = i + self.n_letters # starts at 5
+ counter[char] += 1
+
+ if char == solution[i]: # character is in correct position
+ self.state[self.round, i] = self.right_pos
+ elif counter[char] <= (char == solution).sum():
+ # current character has been seen within correct number of
+ # occurrences
+ self.state[self.round, i] = self.wrong_pos
+ else:
+ # wrong character, or "correct" character too many times
+ self.state[self.round, i] = self.wrong_char
+
+ self.round += 1
+
+ correct = (action == solution).all()
+ game_over = (self.round == self.n_rounds)
+
+ done = correct or game_over
+
+ # Total reward equals -(number of incorrect guesses)
+ reward = 0. if correct else -1.
+
+ return self.state, reward, done, {}
+
diff --git a/Gym-Wordle-main/setup.py b/Gym-Wordle-main/setup.py
new file mode 100644
index 0000000..f734bd6
--- /dev/null
+++ b/Gym-Wordle-main/setup.py
@@ -0,0 +1,35 @@
+from setuptools import setup, find_packages
+
+with open('README.md', 'r', encoding='utf-8') as fh:
+ long_description = fh.read()
+
+setup(
+ name='gym_wordle',
+ version='0.1.3',
+ author='David Kraemer',
+ author_email='david.kraemer@stonybrook.edu',
+ description='OpenAI gym environment for training agents on Wordle',
+ long_description=long_description,
+ long_description_content_type='text/markdown',
+ url='https://github.com/DavidNKraemer/Gym-Wordle',
+ packages=find_packages(
+ include=[
+ 'gym_wordle',
+ 'gym_wordle.*'
+ ]
+ ),
+ package_data={
+ 'gym_wordle': ['dictionary/*']
+ },
+ python_requires='>=3.7',
+ classifiers=[
+ "Programming Language :: Python :: 3",
+ "License :: OSI Approved :: MIT License",
+ "Operating System :: OS Independent",
+ ],
+ install_requires=[
+ 'numpy>=1.20',
+ 'gym==0.19',
+ 'sty==1.0',
+ ],
+)