remove dependencies

connectfour/__init__.py

@@ -0,0 +1,3 @@
+from pathlib import Path
+
+ERROR_SCREEN = Path(__file__).parent.absolute() / "error-screen.npy"

connectfour/app.py

@@ -1,139 +1,17 @@
 import time
 
 import gradio as gr
-import numpy as np
-from pettingzoo.classic import connect_four_v3
-from ray.rllib.utils.framework import try_import_torch
-from ray.tune import register_env
 
-from connectfour.wrappers import Connect4Env
-from models import MODEL_PATH
-import onnxruntime as ort
-from ray.rllib.algorithms.algorithm import Algorithm
-
-torch, nn = try_import_torch()
+from connectfour.connect4 import Connect4
 
 # poetry export -f requirements.txt --output requirements.txt --without-hashes
 # gradio connectfour/app.py
 
 
-class Connect4:
-    def __init__(self, who_plays_first) -> None:
-        # define how to make the environment
-        env_creator = lambda config: connect_four_v3.env(render_mode="rgb_array")
-
-        # register that way to make the environment under an rllib name
-        register_env("connect4", lambda config: Connect4Env(env_creator(config)))
-
-        self.init_env(who_plays_first)
-
-    def init_env(self, who_plays_first):
-        orig_env = connect_four_v3.env(render_mode="rgb_array")
-        self.env = Connect4Env(orig_env)
-
-        self.done = False
-        self.obs, info = self.env.reset()
-
-        if who_plays_first == "You":
-            self.human = self.player_id
-        else:
-            self.play()
-            self.human = self.player_id
-
-        return self.render_and_state
-
-    def get_algo(self):
-        # self.pytorch_model = torch.load(MODEL_PATH / "model.pt")
-        # self.algo = Algorithm.from_checkpoint(checkpoint=CHECKPOINT)
-        self.session = ort.InferenceSession(str(MODEL_PATH / "model.onnx"), None)
-
-    def compute_action(self, obs):
-        return self.pytorch_model(
-            input_dict={"obs": self.flatten_obs(obs)},
-        )
-
-    def flatten_obs(self, obs):
-        flatten_action_mask = torch.from_numpy(obs["action_mask"])
-        flatten_observation = torch.flatten(
-            torch.from_numpy(obs["observation"]), end_dim=2
-        )
-        flatten_obs = torch.concat([flatten_action_mask, flatten_observation])
-        return flatten_obs[None, :]
-
-    def play(self, action=None):
-        if self.has_erroneous_state():
-            return self.blue_screen()
-
-        if self.human != self.player_id:
-            # action = self.algo.compute_single_action(
-            #     self.obs[self.player_id], policy_id="learned_v9"
-            # )
-            # Torch
-            # action = self.compute_action(self.obs[self.player_id])
-            # action = int(torch.argmax(action[0]))
-            # ONNX
-            action = self.session.run(
-                ["output"],
-                {
-                    "obs": self.flatten_obs(self.obs[self.player_id])
-                    .numpy()
-                    .astype(np.float32),
-                    "state_ins": [],
-                },
-            )
-            action = int(np.argmax(action[0]))
-
-        if action not in self.legal_moves:
-            action = np.random.choice(self.legal_moves)
-
-        player_actions = {self.player_id: action}
-
-        self.obs, self.reward, terminated, truncated, info = self.env.step(
-            player_actions
-        )
-        self.done = terminated["__all__"] or truncated["__all__"]
-        return self.render_and_state
-
-    @property
-    def render_and_state(self):
-        if self.done:
-            if hasattr(self, "reward") and self.human not in self.reward:
-                return self.blue_screen()
-
-            end_message = "End of the game"
-            if self.reward[self.human] > 0:
-                end_message += ": You WIN !!"
-            elif self.reward[self.human] < 0:
-                end_message += ": You LOSE !!"
-            return self.env.render(), end_message
-
-        return self.env.render(), "Game On"
-
-    def blue_screen(self):
-        with open("error-screen.npy", "rb") as f:
-            error_screen = np.load(f)
-
-        return (error_screen, "Restart the Game")
-
-    @property
-    def player_id(self):
-        return list(self.obs.keys())[0]
-
-    @property
-    def legal_moves(self):
-        return np.arange(7)[self.obs[self.player_id]["action_mask"] == 1]
-
-    def has_erroneous_state(self):
-        if len(list(self.obs.keys())) == 0:
-            return True
-        return False
-
-
 demo = gr.Blocks()
 
 with demo:
     connect4 = Connect4("You")
-    connect4.get_algo()
 
     with gr.Row():
         with gr.Column(scale=1):

connectfour/connect4.py

@@ -0,0 +1,98 @@
+import numpy as np
+import onnxruntime as ort
+from pettingzoo.classic import connect_four_v3
+from connectfour import ERROR_SCREEN
+
+from models import MODEL_PATH
+
+
+class Connect4:
+    def __init__(self, who_plays_first) -> None:
+        self.init_env(who_plays_first)
+        self.session = ort.InferenceSession(str(MODEL_PATH), None)
+
+    def init_env(self, who_plays_first):
+        self.env = connect_four_v3.env(render_mode="rgb_array")
+        self.env.reset()
+
+        if who_plays_first == "You":
+            self.human = self.current_player_id
+        else:
+            self.play()
+            self.human = self.current_player_id
+
+        return self.render_and_state
+
+    def flatten_observation(self, obs):
+        flatten_action_mask = np.array(obs["action_mask"])
+        flatten_observation = np.reshape(obs["observation"], 2 * 6 * 7)
+        flatten_obs = np.concatenate([flatten_action_mask, flatten_observation])
+        return flatten_obs[np.newaxis, ...].astype(np.float32)
+
+    def play(self, action=None):
+        if self.has_erroneous_state():
+            return self.blue_screen()
+
+        if self.human != self.current_player_id:
+            action = self.session.run(
+                ["output"],
+                {
+                    "obs": self.flatten_observation(
+                        self.env.observe(self.current_player_id)
+                    ),
+                    "state_ins": [],
+                },
+            )
+            action = int(np.argmax(action[0]))
+
+        if action not in self.legal_moves:
+            action = np.random.choice(self.legal_moves)
+
+        self.env.step(action)
+
+        return self.render_and_state
+
+    @property
+    def current_player_id(self):
+        return self.env.agent_selection
+
+    @property
+    def current_observation(self):
+        return self.env.observe(self.current_player_id)
+
+    @property
+    def legal_moves(self):
+        return np.arange(7)[self.current_observation["action_mask"] == 1]
+
+    @property
+    def done(self):
+        return np.any(
+            list(self.env.terminations.values()) + list(self.env.truncations.values())
+        )
+
+    @property
+    def render_and_state(self):
+        if self.done:
+            if self.human not in self.env.rewards:
+                return self.blue_screen()
+
+            end_message = "End of the game"
+            if self.env.rewards[self.human] > 0:
+                end_message += ": You WIN !!"
+            elif self.env.rewards[self.human] < 0:
+                end_message += ": You LOSE !!"
+            return self.env.render(), end_message
+
+        return self.env.render(), "Game On"
+
+    def blue_screen(self):
+        with open(ERROR_SCREEN, "rb") as f:
+            error_screen = np.load(f)
+
+        return (error_screen, "Restart the Game")
+
+    def has_erroneous_state(self):
+        obs = self.env.observe(self.current_player_id)
+        if len(list(obs.keys())) == 0:
+            return True
+        return False

connectfour/wrappers.py

@@ -1,23 +0,0 @@
-from typing import Optional
-
-from ray.rllib.utils.annotations import PublicAPI
-from ray.rllib.env.wrappers.pettingzoo_env import PettingZooEnv
-
-
-@PublicAPI
-class Connect4Env(PettingZooEnv):
-    """An interface to the PettingZoo MARL environment library"""
-
-    def reset(self, *, seed: Optional[int] = None, options: Optional[dict] = None):
-        # In base class =>
-        # info = self.env.reset(seed=seed, return_info=True, options=options)
-        info = self.env.reset(seed=seed, options=options)
-        return (
-            {self.env.agent_selection: self.env.observe(self.env.agent_selection)},
-            info or {},
-        )
-
-    def render(self):
-        # In base class =>
-        # return self.env.render(self.render_mode)
-        return self.env.render()

models/__init__.py

@@ -1,3 +1,3 @@
 from pathlib import Path
 
-MODEL_PATH = Path(__file__).parent.absolute()
+MODEL_PATH = Path(__file__).parent.absolute() / "model.onnx"

models/model.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ae8bf3e7080eca6ba6c8e68dbceffa03ca8d05f65249c474544a66e039352d2a
+oid sha256:29f3081fa436242aee5957ffed40cd2a2fd8c0686876adf84867344cefe4ef31
 size 361882

poetry.lock

@@ -402,36 +402,6 @@ files = [
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-
-[package.extras]
-test = ["codecov (>=2.0.5)", "coverage (>=4.2)", "flake8 (>=3.0.4)", "path.py (>=11.5.0)", "pytest (>=3.0.3)", "pytest-cov (>=2.4.0)", "pytest-runner (>=2.9)", "pytest-virtualenv (>=1.7.0)", "scikit-build (>=0.10.0)", "setuptools (>=28.0.0)", "virtualenv (>=15.0.3)", "wheel"]
-
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -564,52 +534,6 @@ files = [
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 graph = ["objgraph (>=1.7.2)"]
 
-[[package]]
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-version = "0.3.6"
-description = "Distribution utilities"
-category = "main"
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-python-versions = "*"
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-version = "0.1.8"
-description = "Tree is a library for working with nested data structures."
-category = "main"
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-
 [[package]]
 name = "entrypoints"
 version = "0.4"
@@ -637,6 +561,18 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "farama-notifications"
+version = "0.0.4"
+description = "Notifications for all Farama Foundation maintained libraries."
+category = "main"
+optional = false
+python-versions = "*"
+files = [
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+]
+
 [[package]]
 name = "fastapi"
 version = "0.95.0"
@@ -884,14 +820,14 @@ websockets = ">=10.0"
 
 [[package]]
 name = "gradio-client"
-version = "0.0.5"
+version = "0.0.7"
 description = "Python library for easily interacting with trained machine learning models"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 packaging = "*"
 requests = "*"
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 websockets = "*"
 
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 requirements-deprecated-finder = ["pip-api", "pipreqs"]
 
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+testing = ["pytest (==7.1.3)"]
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@@ -1480,67 +1260,6 @@ dev = ["black", "flake8", "isort", "pre-commit"]
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@@ -1752,79 +1471,6 @@ docs = ["sphinx"]
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 tests = ["pytest (>=4.6)"]
 
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-    {file = "triton-2.0.0-1-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1aca3303629cd3136375b82cb9921727f804e47ebee27b2677fef23005c3851a"},
-    {file = "triton-2.0.0-1-pp39-pypy39_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e3e13aa8b527c9b642e3a9defcc0fbd8ffbe1c80d8ac8c15a01692478dc64d8a"},
-    {file = "triton-2.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f05a7e64e4ca0565535e3d5d3405d7e49f9d308505bb7773d21fb26a4c008c2"},
-    {file = "triton-2.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb4b99ca3c6844066e516658541d876c28a5f6e3a852286bbc97ad57134827fd"},
-    {file = "triton-2.0.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47b4d70dc92fb40af553b4460492c31dc7d3a114a979ffb7a5cdedb7eb546c08"},
-    {file = "triton-2.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fedce6a381901b1547e0e7e1f2546e4f65dca6d91e2d8a7305a2d1f5551895be"},
-    {file = "triton-2.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75834f27926eab6c7f00ce73aaf1ab5bfb9bec6eb57ab7c0bfc0a23fac803b4c"},
-    {file = "triton-2.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0117722f8c2b579cd429e0bee80f7731ae05f63fe8e9414acd9a679885fcbf42"},
-    {file = "triton-2.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bcd9be5d0c2e45d2b7e6ddc6da20112b6862d69741576f9c3dbaf941d745ecae"},
-    {file = "triton-2.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42a0d2c3fc2eab4ba71384f2e785fbfd47aa41ae05fa58bf12cb31dcbd0aeceb"},
-    {file = "triton-2.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:52c47b72c72693198163ece9d90a721299e4fb3b8e24fd13141e384ad952724f"},
-]
-
-[package.dependencies]
-cmake = "*"
-filelock = "*"
-lit = "*"
-torch = "*"
-
-[package.extras]
-tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"]
-tutorials = ["matplotlib", "pandas", "tabulate"]
-
-[[package]]
-name = "typer"
-version = "0.7.0"
-description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
-category = "main"
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "typer-0.7.0-py3-none-any.whl", hash = "sha256:b5e704f4e48ec263de1c0b3a2387cd405a13767d2f907f44c1a08cbad96f606d"},
-    {file = "typer-0.7.0.tar.gz", hash = "sha256:ff797846578a9f2a201b53442aedeb543319466870fbe1c701eab66dd7681165"},
-]
-
-[package.dependencies]
-click = ">=7.1.1,<9.0.0"
-
-[package.extras]
-all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<13.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2.17.0,<3.0.0)"]
-doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"]
-test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<13.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
-
 [[package]]
 name = "typing-extensions"
 version = "4.5.0"
@@ -3586,27 +2637,6 @@ h11 = ">=0.8"
 [package.extras]
 standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
-[[package]]
-name = "virtualenv"
-version = "20.21.0"
-description = "Virtual Python Environment builder"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "virtualenv-20.21.0-py3-none-any.whl", hash = "sha256:31712f8f2a17bd06234fa97fdf19609e789dd4e3e4bf108c3da71d710651adbc"},
-    {file = "virtualenv-20.21.0.tar.gz", hash = "sha256:f50e3e60f990a0757c9b68333c9fdaa72d7188caa417f96af9e52407831a3b68"},
-]
-
-[package.dependencies]
-distlib = ">=0.3.6,<1"
-filelock = ">=3.4.1,<4"
-platformdirs = ">=2.4,<4"
-
-[package.extras]
-docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=6.1.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=22.12)"]
-test = ["covdefaults (>=2.2.2)", "coverage (>=7.1)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23)", "pytest (>=7.2.1)", "pytest-env (>=0.8.1)", "pytest-freezegun (>=0.4.2)", "pytest-mock (>=3.10)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)"]
-
 [[package]]
 name = "websockets"
 version = "11.0"
@@ -3687,21 +2717,6 @@ files = [
     {file = "websockets-11.0.tar.gz", hash = "sha256:19d638549c470f5fd3b67b52b2a08f2edba5a04e05323a706937e35f5f19d056"},
 ]
 
-[[package]]
-name = "wheel"
-version = "0.40.0"
-description = "A built-package format for Python"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "wheel-0.40.0-py3-none-any.whl", hash = "sha256:d236b20e7cb522daf2390fa84c55eea81c5c30190f90f29ae2ca1ad8355bf247"},
-    {file = "wheel-0.40.0.tar.gz", hash = "sha256:cd1196f3faee2b31968d626e1731c94f99cbdb67cf5a46e4f5656cbee7738873"},
-]
-
-[package.extras]
-test = ["pytest (>=6.0.0)"]
-
 [[package]]
 name = "wrapt"
 version = "1.15.0"
@@ -3894,4 +2909,4 @@ testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8,<3.11"
-content-hash = "cebae9adbf845433c1a6de1af62a021ecc2c54a22d04aebee7c7959b63511c36"
+content-hash = "642e60bab8effe103bd01683eecda3bdc9e24d5b4a4a77d43bbbd9beb9405067"

pyproject.toml

@@ -17,12 +17,10 @@ include = [
 python = ">=3.8,<3.11"
 orjson = "3.8.8"
 gradio = "^3.23.0"
-ray = {extras = ["rllib"], version = "^2.2.0"}
 pettingzoo = "^1.22.4"
 pygame = "^2.3.0"
-torch = "^2.0.0"
-scipy = ">=1.8,<1.9.2"
 onnxruntime = "^1.14.1"
+setuptools = "^67.6.1"
 
 [tool.poetry.dev-dependencies]
 pylint = "*"

requirements.txt

@@ -9,14 +9,12 @@ certifi==2022.12.7 ; python_version >= "3.8" and python_version < "3.11"
 charset-normalizer==3.1.0 ; python_version >= "3.8" and python_version < "3.11"
 click==8.1.3 ; python_version >= "3.8" and python_version < "3.11"
 cloudpickle==2.2.1 ; python_version >= "3.8" and python_version < "3.11"
-cmake==3.26.1 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
 colorama==0.4.6 ; python_version >= "3.8" and python_version < "3.11" and platform_system == "Windows"
 coloredlogs==15.0.1 ; python_version >= "3.8" and python_version < "3.11"
 contourpy==1.0.7 ; python_version >= "3.8" and python_version < "3.11"
 cycler==0.11.0 ; python_version >= "3.8" and python_version < "3.11"
-distlib==0.3.6 ; python_version >= "3.8" and python_version < "3.11"
-dm-tree==0.1.8 ; python_version >= "3.8" and python_version < "3.11"
 entrypoints==0.4 ; python_version >= "3.8" and python_version < "3.11"
+farama-notifications==0.0.4 ; python_version >= "3.8" and python_version < "3.11"
 fastapi==0.95.0 ; python_version >= "3.8" and python_version < "3.11"
 ffmpy==0.3.0 ; python_version >= "3.8" and python_version < "3.11"
 filelock==3.10.7 ; python_version >= "3.8" and python_version < "3.11"
@@ -24,28 +22,22 @@ flatbuffers==23.3.3 ; python_version >= "3.8" and python_version < "3.11"
 fonttools==4.39.3 ; python_version >= "3.8" and python_version < "3.11"
 frozenlist==1.3.3 ; python_version >= "3.8" and python_version < "3.11"
 fsspec==2023.3.0 ; python_version >= "3.8" and python_version < "3.11"
-gradio-client==0.0.5 ; python_version >= "3.8" and python_version < "3.11"
+gradio-client==0.0.7 ; python_version >= "3.8" and python_version < "3.11"
 gradio==3.24.1 ; python_version >= "3.8" and python_version < "3.11"
-grpcio==1.49.1 ; python_version >= "3.8" and python_version < "3.11" and sys_platform == "darwin"
-grpcio==1.53.0 ; python_version >= "3.8" and python_version < "3.11" and sys_platform != "darwin"
-gymnasium-notices==0.0.1 ; python_version >= "3.8" and python_version < "3.11"
-gymnasium==0.26.3 ; python_version >= "3.8" and python_version < "3.11"
+gymnasium==0.28.1 ; python_version >= "3.8" and python_version < "3.11"
 h11==0.14.0 ; python_version >= "3.8" and python_version < "3.11"
 httpcore==0.16.3 ; python_version >= "3.8" and python_version < "3.11"
 httpx==0.23.3 ; python_version >= "3.8" and python_version < "3.11"
 huggingface-hub==0.13.3 ; python_version >= "3.8" and python_version < "3.11"
 humanfriendly==10.0 ; python_version >= "3.8" and python_version < "3.11"
 idna==3.4 ; python_version >= "3.8" and python_version < "3.11"
-imageio==2.27.0 ; python_version >= "3.8" and python_version < "3.11"
 importlib-metadata==6.1.0 ; python_version >= "3.8" and python_version < "3.10"
 importlib-resources==5.12.0 ; python_version >= "3.8" and python_version < "3.10"
+jax-jumpy==1.0.0 ; python_version >= "3.8" and python_version < "3.11"
 jinja2==3.1.2 ; python_version >= "3.8" and python_version < "3.11"
 jsonschema==4.17.3 ; python_version >= "3.8" and python_version < "3.11"
 kiwisolver==1.4.4 ; python_version >= "3.8" and python_version < "3.11"
-lazy-loader==0.2 ; python_version >= "3.8" and python_version < "3.11"
 linkify-it-py==2.0.0 ; python_version >= "3.8" and python_version < "3.11"
-lit==16.0.0 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
-lz4==4.3.2 ; python_version >= "3.8" and python_version < "3.11"
 markdown-it-py==2.2.0 ; python_version >= "3.8" and python_version < "3.11"
 markdown-it-py[linkify]==2.2.0 ; python_version >= "3.8" and python_version < "3.11"
 markupsafe==2.1.2 ; python_version >= "3.8" and python_version < "3.11"
@@ -53,69 +45,41 @@ matplotlib==3.7.1 ; python_version >= "3.8" and python_version < "3.11"
 mdit-py-plugins==0.3.3 ; python_version >= "3.8" and python_version < "3.11"
 mdurl==0.1.2 ; python_version >= "3.8" and python_version < "3.11"
 mpmath==1.3.0 ; python_version >= "3.8" and python_version < "3.11"
-msgpack==1.0.5 ; python_version >= "3.8" and python_version < "3.11"
 multidict==6.0.4 ; python_version >= "3.8" and python_version < "3.11"
-networkx==3.0 ; python_version >= "3.8" and python_version < "3.11"
 numpy==1.24.2 ; python_version < "3.11" and python_version >= "3.8"
-nvidia-cublas-cu11==11.10.3.66 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
-nvidia-cuda-cupti-cu11==11.7.101 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
-nvidia-cuda-nvrtc-cu11==11.7.99 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
-nvidia-cuda-runtime-cu11==11.7.99 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
-nvidia-cudnn-cu11==8.5.0.96 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
-nvidia-cufft-cu11==10.9.0.58 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
-nvidia-curand-cu11==10.2.10.91 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
-nvidia-cusolver-cu11==11.4.0.1 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
-nvidia-cusparse-cu11==11.7.4.91 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
-nvidia-nccl-cu11==2.14.3 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
-nvidia-nvtx-cu11==11.7.91 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
 onnxruntime==1.14.1 ; python_version >= "3.8" and python_version < "3.11"
 orjson==3.8.8 ; python_version >= "3.8" and python_version < "3.11"
-packaging==23.0 ; python_version < "3.11" and python_version >= "3.8"
+packaging==23.0 ; python_version >= "3.8" and python_version < "3.11"
 pandas==2.0.0 ; python_version >= "3.8" and python_version < "3.11"
 pettingzoo==1.22.4 ; python_version >= "3.8" and python_version < "3.11"
 pillow==9.5.0 ; python_version >= "3.8" and python_version < "3.11"
 pkgutil-resolve-name==1.3.10 ; python_version >= "3.8" and python_version < "3.9"
-platformdirs==3.2.0 ; python_version >= "3.8" and python_version < "3.11"
 protobuf==4.22.1 ; python_version >= "3.8" and python_version < "3.11"
 pydantic==1.10.7 ; python_version >= "3.8" and python_version < "3.11"
 pydub==0.25.1 ; python_version >= "3.8" and python_version < "3.11"
 pygame==2.3.0 ; python_version >= "3.8" and python_version < "3.11"
-pygments==2.14.0 ; python_version >= "3.8" and python_version < "3.11"
 pyparsing==3.0.9 ; python_version >= "3.8" and python_version < "3.11"
 pyreadline3==3.4.1 ; sys_platform == "win32" and python_version >= "3.8" and python_version < "3.11"
 pyrsistent==0.19.3 ; python_version >= "3.8" and python_version < "3.11"
 python-dateutil==2.8.2 ; python_version >= "3.8" and python_version < "3.11"
 python-multipart==0.0.6 ; python_version >= "3.8" and python_version < "3.11"
 pytz==2023.3 ; python_version >= "3.8" and python_version < "3.11"
-pywavelets==1.4.1 ; python_version >= "3.8" and python_version < "3.11"
 pyyaml==6.0 ; python_version >= "3.8" and python_version < "3.11"
-ray[rllib]==2.3.1 ; python_version >= "3.8" and python_version < "3.11"
 requests==2.28.2 ; python_version >= "3.8" and python_version < "3.11"
 rfc3986[idna2008]==1.5.0 ; python_version >= "3.8" and python_version < "3.11"
-rich==13.3.3 ; python_version >= "3.8" and python_version < "3.11"
-scikit-image==0.20.0 ; python_version >= "3.8" and python_version < "3.11"
-scipy==1.9.1 ; python_version < "3.11" and python_version >= "3.8"
 semantic-version==2.10.0 ; python_version >= "3.8" and python_version < "3.11"
-setuptools==67.6.1 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
+setuptools==67.6.1 ; python_version >= "3.8" and python_version < "3.11"
 six==1.16.0 ; python_version >= "3.8" and python_version < "3.11"
 sniffio==1.3.0 ; python_version >= "3.8" and python_version < "3.11"
 starlette==0.26.1 ; python_version >= "3.8" and python_version < "3.11"
 sympy==1.11.1 ; python_version >= "3.8" and python_version < "3.11"
-tabulate==0.9.0 ; python_version >= "3.8" and python_version < "3.11"
-tensorboardx==2.5 ; python_version >= "3.8" and python_version < "3.11"
-tifffile==2023.3.21 ; python_version >= "3.8" and python_version < "3.11"
 toolz==0.12.0 ; python_version >= "3.8" and python_version < "3.11"
-torch==2.0.0 ; python_version >= "3.8" and python_version < "3.11"
 tqdm==4.65.0 ; python_version >= "3.8" and python_version < "3.11"
-triton==2.0.0 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
-typer==0.7.0 ; python_version >= "3.8" and python_version < "3.11"
 typing-extensions==4.5.0 ; python_version >= "3.8" and python_version < "3.11"
 tzdata==2023.3 ; python_version >= "3.8" and python_version < "3.11"
 uc-micro-py==1.0.1 ; python_version >= "3.8" and python_version < "3.11"
 urllib3==1.26.15 ; python_version >= "3.8" and python_version < "3.11"
 uvicorn==0.21.1 ; python_version >= "3.8" and python_version < "3.11"
-virtualenv==20.21.0 ; python_version >= "3.8" and python_version < "3.11"
 websockets==11.0 ; python_version >= "3.8" and python_version < "3.11"
-wheel==0.40.0 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_version < "3.11"
 yarl==1.8.2 ; python_version >= "3.8" and python_version < "3.11"
 zipp==3.15.0 ; python_version >= "3.8" and python_version < "3.10"