-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathpoetry.lock
298 lines (272 loc) · 21.2 KB
/
poetry.lock
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "ale-py"
version = "0.8.1"
description = "The Arcade Learning Environment (ALE) - a platform for AI research."
optional = false
python-versions = ">=3.7"
files = [
{file = "ale_py-0.8.1-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:b2aa2f69a4169742800615970efe6914fa856e33eaf7fa9133c0e06a617a80e2"},
{file = "ale_py-0.8.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6f2f6b92c8fd6189654979bbf0b305dbe0ecf82176c47f244d8c1cbc36286b89"},
{file = "ale_py-0.8.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9b168eb88c87d0f3e2a778e6c5cdde4ad951d1ca8a6dc3d3679fd45398df7d1"},
{file = "ale_py-0.8.1-cp310-cp310-win_amd64.whl", hash = "sha256:5fcc31f495de79ee1d6bfc0f4b7c4619948851e679bbf010035e25f23146a687"},
{file = "ale_py-0.8.1-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:0856ca777473ec4ae8a59f3af9580259adb0fd4a47d586a125a440c62e82fc10"},
{file = "ale_py-0.8.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f10b1df8774bbe3b00365748b5e0e07cf35f6a703bbaff991bc7b3b2247dccc9"},
{file = "ale_py-0.8.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0006d80dfe7745eb5a93444492337203c8bc7eb594a2c24c6a651c5c5b0eaf09"},
{file = "ale_py-0.8.1-cp311-cp311-win_amd64.whl", hash = "sha256:9773eea7505484e024beb2fff0f3bfd363db151bdb9799d70995448e196b1ded"},
{file = "ale_py-0.8.1-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:87557db05be0e04130e2ec1bf909d3bb0b0bc034645d4f664e6baa573fe32191"},
{file = "ale_py-0.8.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ae2ba24557e0ce541ea3be13b148db2a9cfa730d83537b4cbed5e10449826e51"},
{file = "ale_py-0.8.1-cp37-cp37m-win_amd64.whl", hash = "sha256:ade5c32af567629164a6b49378978c728a15dc4db07ad6b679e8832d4fd3ea1f"},
{file = "ale_py-0.8.1-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:0ffecb5c956749596030e464827642945162170a132d093c3d4fa2d7e5725c18"},
{file = "ale_py-0.8.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7cd74b7ee0248ef11a086c9764e142e71defd40ec8989a99232bfd2d9e8023be"},
{file = "ale_py-0.8.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eadf9f3990b4ff2f9e5ca35889f5e2e95cddd6a353d9d857d9b4601a6e1c4e7c"},
{file = "ale_py-0.8.1-cp38-cp38-win_amd64.whl", hash = "sha256:817adf9a3a82c4923c731e634520a5ecf296aca0367f5c69959a96b32119d831"},
{file = "ale_py-0.8.1-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:2d9fcfa06c74a613c5419e942ef4d3e0959533f52e94d2d4bda61d07fbfffeee"},
{file = "ale_py-0.8.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f278036f9b6066062abcdf0987a0ec5a8e0f22a2c7cfac925e39378d4343d490"},
{file = "ale_py-0.8.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b00f74e27815131c1a2791f3d48114363fa2708e19f09ce6b7b614cb14c9d469"},
{file = "ale_py-0.8.1-cp39-cp39-win_amd64.whl", hash = "sha256:d49b550a2d9c25b63c343aa680fd81f253a3714cdc0e1835640933ebff1798ff"},
]
[package.dependencies]
importlib-resources = "*"
numpy = "*"
[package.extras]
test = ["gym (>=0.23,<1.0)", "pytest (>=7.0)"]
[[package]]
name = "cloudpickle"
version = "3.0.0"
description = "Pickler class to extend the standard pickle.Pickler functionality"
optional = false
python-versions = ">=3.8"
files = [
{file = "cloudpickle-3.0.0-py3-none-any.whl", hash = "sha256:246ee7d0c295602a036e86369c77fecda4ab17b506496730f2f576d9016fd9c7"},
{file = "cloudpickle-3.0.0.tar.gz", hash = "sha256:996d9a482c6fb4f33c1a35335cf8afd065d2a56e973270364840712d9131a882"},
]
[[package]]
name = "farama-notifications"
version = "0.0.4"
description = "Notifications for all Farama Foundation maintained libraries."
optional = false
python-versions = "*"
files = [
{file = "Farama-Notifications-0.0.4.tar.gz", hash = "sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18"},
{file = "Farama_Notifications-0.0.4-py3-none-any.whl", hash = "sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae"},
]
[[package]]
name = "gymnasium"
version = "0.29.1"
description = "A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)."
optional = false
python-versions = ">=3.8"
files = [
{file = "gymnasium-0.29.1-py3-none-any.whl", hash = "sha256:61c3384b5575985bb7f85e43213bcb40f36fcdff388cae6bc229304c71f2843e"},
{file = "gymnasium-0.29.1.tar.gz", hash = "sha256:1a532752efcb7590478b1cc7aa04f608eb7a2fdad5570cd217b66b6a35274bb1"},
]
[package.dependencies]
cloudpickle = ">=1.2.0"
farama-notifications = ">=0.0.1"
numpy = ">=1.21.0"
typing-extensions = ">=4.3.0"
[package.extras]
accept-rom-license = ["autorom[accept-rom-license] (>=0.4.2,<0.5.0)"]
all = ["box2d-py (==2.3.5)", "cython (<3)", "imageio (>=2.14.1)", "jax (>=0.4.0)", "jaxlib (>=0.4.0)", "lz4 (>=3.1.0)", "matplotlib (>=3.0)", "moviepy (>=1.0.0)", "mujoco (>=2.3.3)", "mujoco-py (>=2.1,<2.2)", "opencv-python (>=3.0)", "pygame (>=2.1.3)", "shimmy[atari] (>=0.1.0,<1.0)", "swig (==4.*)", "torch (>=1.0.0)"]
atari = ["shimmy[atari] (>=0.1.0,<1.0)"]
box2d = ["box2d-py (==2.3.5)", "pygame (>=2.1.3)", "swig (==4.*)"]
classic-control = ["pygame (>=2.1.3)", "pygame (>=2.1.3)"]
jax = ["jax (>=0.4.0)", "jaxlib (>=0.4.0)"]
mujoco = ["imageio (>=2.14.1)", "mujoco (>=2.3.3)"]
mujoco-py = ["cython (<3)", "cython (<3)", "mujoco-py (>=2.1,<2.2)", "mujoco-py (>=2.1,<2.2)"]
other = ["lz4 (>=3.1.0)", "matplotlib (>=3.0)", "moviepy (>=1.0.0)", "opencv-python (>=3.0)", "torch (>=1.0.0)"]
testing = ["pytest (==7.1.3)", "scipy (>=1.7.3)"]
toy-text = ["pygame (>=2.1.3)", "pygame (>=2.1.3)"]
[[package]]
name = "importlib-resources"
version = "6.4.0"
description = "Read resources from Python packages"
optional = false
python-versions = ">=3.8"
files = [
{file = "importlib_resources-6.4.0-py3-none-any.whl", hash = "sha256:50d10f043df931902d4194ea07ec57960f66a80449ff867bfe782b4c486ba78c"},
{file = "importlib_resources-6.4.0.tar.gz", hash = "sha256:cdb2b453b8046ca4e3798eb1d84f3cce1446a0e8e7b5ef4efb600f19fc398145"},
]
[package.extras]
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
testing = ["jaraco.test (>=5.4)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
[[package]]
name = "numpy"
version = "2.0.1"
description = "Fundamental package for array computing in Python"
optional = false
python-versions = ">=3.9"
files = [
{file = "numpy-2.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0fbb536eac80e27a2793ffd787895242b7f18ef792563d742c2d673bfcb75134"},
{file = "numpy-2.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:69ff563d43c69b1baba77af455dd0a839df8d25e8590e79c90fcbe1499ebde42"},
{file = "numpy-2.0.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:1b902ce0e0a5bb7704556a217c4f63a7974f8f43e090aff03fcf262e0b135e02"},
{file = "numpy-2.0.1-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:f1659887361a7151f89e79b276ed8dff3d75877df906328f14d8bb40bb4f5101"},
{file = "numpy-2.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4658c398d65d1b25e1760de3157011a80375da861709abd7cef3bad65d6543f9"},
{file = "numpy-2.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4127d4303b9ac9f94ca0441138acead39928938660ca58329fe156f84b9f3015"},
{file = "numpy-2.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e5eeca8067ad04bc8a2a8731183d51d7cbaac66d86085d5f4766ee6bf19c7f87"},
{file = "numpy-2.0.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:9adbd9bb520c866e1bfd7e10e1880a1f7749f1f6e5017686a5fbb9b72cf69f82"},
{file = "numpy-2.0.1-cp310-cp310-win32.whl", hash = "sha256:7b9853803278db3bdcc6cd5beca37815b133e9e77ff3d4733c247414e78eb8d1"},
{file = "numpy-2.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:81b0893a39bc5b865b8bf89e9ad7807e16717f19868e9d234bdaf9b1f1393868"},
{file = "numpy-2.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:75b4e316c5902d8163ef9d423b1c3f2f6252226d1aa5cd8a0a03a7d01ffc6268"},
{file = "numpy-2.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6e4eeb6eb2fced786e32e6d8df9e755ce5be920d17f7ce00bc38fcde8ccdbf9e"},
{file = "numpy-2.0.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:a1e01dcaab205fbece13c1410253a9eea1b1c9b61d237b6fa59bcc46e8e89343"},
{file = "numpy-2.0.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:a8fc2de81ad835d999113ddf87d1ea2b0f4704cbd947c948d2f5513deafe5a7b"},
{file = "numpy-2.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5a3d94942c331dd4e0e1147f7a8699a4aa47dffc11bf8a1523c12af8b2e91bbe"},
{file = "numpy-2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15eb4eca47d36ec3f78cde0a3a2ee24cf05ca7396ef808dda2c0ddad7c2bde67"},
{file = "numpy-2.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:b83e16a5511d1b1f8a88cbabb1a6f6a499f82c062a4251892d9ad5d609863fb7"},
{file = "numpy-2.0.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1f87fec1f9bc1efd23f4227becff04bd0e979e23ca50cc92ec88b38489db3b55"},
{file = "numpy-2.0.1-cp311-cp311-win32.whl", hash = "sha256:36d3a9405fd7c511804dc56fc32974fa5533bdeb3cd1604d6b8ff1d292b819c4"},
{file = "numpy-2.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:08458fbf403bff5e2b45f08eda195d4b0c9b35682311da5a5a0a0925b11b9bd8"},
{file = "numpy-2.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:6bf4e6f4a2a2e26655717a1983ef6324f2664d7011f6ef7482e8c0b3d51e82ac"},
{file = "numpy-2.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7d6fddc5fe258d3328cd8e3d7d3e02234c5d70e01ebe377a6ab92adb14039cb4"},
{file = "numpy-2.0.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:5daab361be6ddeb299a918a7c0864fa8618af66019138263247af405018b04e1"},
{file = "numpy-2.0.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:ea2326a4dca88e4a274ba3a4405eb6c6467d3ffbd8c7d38632502eaae3820587"},
{file = "numpy-2.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:529af13c5f4b7a932fb0e1911d3a75da204eff023ee5e0e79c1751564221a5c8"},
{file = "numpy-2.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6790654cb13eab303d8402354fabd47472b24635700f631f041bd0b65e37298a"},
{file = "numpy-2.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:cbab9fc9c391700e3e1287666dfd82d8666d10e69a6c4a09ab97574c0b7ee0a7"},
{file = "numpy-2.0.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:99d0d92a5e3613c33a5f01db206a33f8fdf3d71f2912b0de1739894668b7a93b"},
{file = "numpy-2.0.1-cp312-cp312-win32.whl", hash = "sha256:173a00b9995f73b79eb0191129f2455f1e34c203f559dd118636858cc452a1bf"},
{file = "numpy-2.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:bb2124fdc6e62baae159ebcfa368708867eb56806804d005860b6007388df171"},
{file = "numpy-2.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bfc085b28d62ff4009364e7ca34b80a9a080cbd97c2c0630bb5f7f770dae9414"},
{file = "numpy-2.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8fae4ebbf95a179c1156fab0b142b74e4ba4204c87bde8d3d8b6f9c34c5825ef"},
{file = "numpy-2.0.1-cp39-cp39-macosx_14_0_arm64.whl", hash = "sha256:72dc22e9ec8f6eaa206deb1b1355eb2e253899d7347f5e2fae5f0af613741d06"},
{file = "numpy-2.0.1-cp39-cp39-macosx_14_0_x86_64.whl", hash = "sha256:ec87f5f8aca726117a1c9b7083e7656a9d0d606eec7299cc067bb83d26f16e0c"},
{file = "numpy-2.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f682ea61a88479d9498bf2091fdcd722b090724b08b31d63e022adc063bad59"},
{file = "numpy-2.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8efc84f01c1cd7e34b3fb310183e72fcdf55293ee736d679b6d35b35d80bba26"},
{file = "numpy-2.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3fdabe3e2a52bc4eff8dc7a5044342f8bd9f11ef0934fcd3289a788c0eb10018"},
{file = "numpy-2.0.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:24a0e1befbfa14615b49ba9659d3d8818a0f4d8a1c5822af8696706fbda7310c"},
{file = "numpy-2.0.1-cp39-cp39-win32.whl", hash = "sha256:f9cf5ea551aec449206954b075db819f52adc1638d46a6738253a712d553c7b4"},
{file = "numpy-2.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:e9e81fa9017eaa416c056e5d9e71be93d05e2c3c2ab308d23307a8bc4443c368"},
{file = "numpy-2.0.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:61728fba1e464f789b11deb78a57805c70b2ed02343560456190d0501ba37b0f"},
{file = "numpy-2.0.1-pp39-pypy39_pp73-macosx_14_0_x86_64.whl", hash = "sha256:12f5d865d60fb9734e60a60f1d5afa6d962d8d4467c120a1c0cda6eb2964437d"},
{file = "numpy-2.0.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eacf3291e263d5a67d8c1a581a8ebbcfd6447204ef58828caf69a5e3e8c75990"},
{file = "numpy-2.0.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2c3a346ae20cfd80b6cfd3e60dc179963ef2ea58da5ec074fd3d9e7a1e7ba97f"},
{file = "numpy-2.0.1.tar.gz", hash = "sha256:485b87235796410c3519a699cfe1faab097e509e90ebb05dcd098db2ae87e7b3"},
]
[[package]]
name = "pyobjc-core"
version = "10.3.1"
description = "Python<->ObjC Interoperability Module"
optional = false
python-versions = ">=3.8"
files = [
{file = "pyobjc_core-10.3.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ea46d2cda17921e417085ac6286d43ae448113158afcf39e0abe484c58fb3d78"},
{file = "pyobjc_core-10.3.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:899d3c84d2933d292c808f385dc881a140cf08632907845043a333a9d7c899f9"},
{file = "pyobjc_core-10.3.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:6ff5823d13d0a534cdc17fa4ad47cf5bee4846ce0fd27fc40012e12b46db571b"},
{file = "pyobjc_core-10.3.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:2581e8e68885bcb0e11ec619e81ef28e08ee3fac4de20d8cc83bc5af5bcf4a90"},
{file = "pyobjc_core-10.3.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ea98d4c2ec39ca29e62e0327db21418696161fb138ee6278daf2acbedf7ce504"},
{file = "pyobjc_core-10.3.1-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:4c179c26ee2123d0aabffb9dbc60324b62b6f8614fb2c2328b09386ef59ef6d8"},
{file = "pyobjc_core-10.3.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:cb901fce65c9be420c40d8a6ee6fff5ff27c6945f44fd7191989b982baa66dea"},
{file = "pyobjc_core-10.3.1.tar.gz", hash = "sha256:b204a80ccc070f9ab3f8af423a3a25a6fd787e228508d00c4c30f8ac538ba720"},
]
[[package]]
name = "pyobjc-framework-cocoa"
version = "10.3.1"
description = "Wrappers for the Cocoa frameworks on macOS"
optional = false
python-versions = ">=3.8"
files = [
{file = "pyobjc_framework_Cocoa-10.3.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4cb4f8491ab4d9b59f5187e42383f819f7a46306a4fa25b84f126776305291d1"},
{file = "pyobjc_framework_Cocoa-10.3.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:5f31021f4f8fdf873b57a97ee1f3c1620dbe285e0b4eaed73dd0005eb72fd773"},
{file = "pyobjc_framework_Cocoa-10.3.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:11b4e0bad4bbb44a4edda128612f03cdeab38644bbf174de0c13129715497296"},
{file = "pyobjc_framework_Cocoa-10.3.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:de5e62e5ccf2871a94acf3bf79646b20ea893cc9db78afa8d1fe1b0d0f7cbdb0"},
{file = "pyobjc_framework_Cocoa-10.3.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6c5af24610ab639bd1f521ce4500484b40787f898f691b7a23da3339e6bc8b90"},
{file = "pyobjc_framework_Cocoa-10.3.1-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:a7151186bb7805deea434fae9a4423335e6371d105f29e73cc2036c6779a9dbc"},
{file = "pyobjc_framework_Cocoa-10.3.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:743d2a1ac08027fd09eab65814c79002a1d0421d7c0074ffd1217b6560889744"},
{file = "pyobjc_framework_cocoa-10.3.1.tar.gz", hash = "sha256:1cf20714daaa986b488fb62d69713049f635c9d41a60c8da97d835710445281a"},
]
[package.dependencies]
pyobjc-core = ">=10.3.1"
[[package]]
name = "pyobjc-framework-libdispatch"
version = "10.3.1"
description = "Wrappers for libdispatch on macOS"
optional = false
python-versions = ">=3.8"
files = [
{file = "pyobjc_framework_libdispatch-10.3.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5543aea8acd53fb02bcf962b003a2a9c2bdacf28dc290c31a3d2de7543ef8392"},
{file = "pyobjc_framework_libdispatch-10.3.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3e0db3138aae333f0b87b42586bc016430a76638af169aab9cef6afee4e5f887"},
{file = "pyobjc_framework_libdispatch-10.3.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:b209dbc9338cd87e053ede4d782b8c445bcc0b9a3d0365a6ffa1f9cd5143c301"},
{file = "pyobjc_framework_libdispatch-10.3.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:a74e62314376dc2d34bc5d4a86cedaf5795786178ebccd0553c58e8fa73400a3"},
{file = "pyobjc_framework_libdispatch-10.3.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:8e8fb27ac86d48605eb2107ac408ed8de281751df81f5430fe66c8228d7626b8"},
{file = "pyobjc_framework_libdispatch-10.3.1-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:0a7a19afef70c98b3b527fb2c9adb025444bcb50f65c8d7b949f1efb51bde577"},
{file = "pyobjc_framework_libdispatch-10.3.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:109044cddecb3332cbb75f14819cd01b98aacfefe91204c776b491eccc58a112"},
{file = "pyobjc_framework_libdispatch-10.3.1.tar.gz", hash = "sha256:f5c3475498cb32f54d75e21952670e4a32c8517fb2db2e90869f634edc942446"},
]
[package.dependencies]
pyobjc-core = ">=10.3.1"
pyobjc-framework-Cocoa = ">=10.3.1"
[[package]]
name = "pyobjc-framework-metal"
version = "10.3.1"
description = "Wrappers for the framework Metal on macOS"
optional = false
python-versions = ">=3.8"
files = [
{file = "pyobjc_framework_Metal-10.3.1-cp36-abi3-macosx_10_13_universal2.whl", hash = "sha256:4a42f3aa47eb5e0d3f29bf07f239c2ba33725701546ea6d3c5d019133e0fbce1"},
{file = "pyobjc_framework_Metal-10.3.1-cp36-abi3-macosx_10_9_universal2.whl", hash = "sha256:cc33d05e376d3a2f42da24b397f6353d9cb8e5990c79c9255a82637b7b8f256c"},
{file = "pyobjc_framework_Metal-10.3.1-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:22762ba170d0fc4538dd7f582da1fd7673160e369eca74efe3d6d35bfdd50522"},
{file = "pyobjc_framework_Metal-10.3.1-cp36-abi3-macosx_11_0_universal2.whl", hash = "sha256:7fef3ebfd6cfbd7cbfe45aaa86dd32034303d933871d8450f4c990dbdefda176"},
{file = "pyobjc_framework_metal-10.3.1.tar.gz", hash = "sha256:495307db0bfd2063f28b7c8fa350af71afcfbf5f5f2186a6a751b4cb2ef46a1a"},
]
[package.dependencies]
pyobjc-core = ">=10.3.1"
pyobjc-framework-Cocoa = ">=10.3.1"
[[package]]
name = "shimmy"
version = "0.2.1"
description = "API for converting popular non-gymnasium environments to a gymnasium compatible environment."
optional = false
python-versions = ">=3.7"
files = [
{file = "Shimmy-0.2.1-py3-none-any.whl", hash = "sha256:2d7d21c4ca679a64bb452e6a4232c6b0f5dba7589f5420454ddc1f0634334334"},
{file = "Shimmy-0.2.1.tar.gz", hash = "sha256:7b96915445ee5488dcb19ccf52ce5581d6f00cc5cf0e0dff36b16cd65bffcb75"},
]
[package.dependencies]
gymnasium = ">=0.27.0"
numpy = ">=1.18.0"
[package.extras]
all = ["ale-py (>=0.8.1,<0.9.0)", "dm-control (>=1.0.10)", "gym (>=0.21)", "h5py (>=3.7.0)", "imageio", "open-spiel (>=1.2)", "pettingzoo (>=1.22)"]
atari = ["ale-py (>=0.8.1,<0.9.0)"]
dm-control = ["dm-control (>=1.0.10)", "h5py (>=3.7.0)", "imageio"]
dm-control-multi-agent = ["dm-control (>=1.0.10)", "pettingzoo (>=1.22)"]
gym = ["gym (>=0.21)"]
openspiel = ["open-spiel (>=1.2)", "pettingzoo (>=1.22)"]
testing = ["autorom[accept-rom-license] (>=0.4.2,<0.5.0)", "pillow (>=9.3.0)", "pytest (==7.1.3)"]
[[package]]
name = "tinygrad"
version = "0.9.1"
description = "You like pytorch? You like micrograd? You love tinygrad! <3"
optional = false
python-versions = ">=3.8"
files = [
{file = "tinygrad-0.9.1-py3-none-any.whl", hash = "sha256:b4a2b1a588d31b8cd19429110977393499db0b561059306dd90141c407eec884"},
{file = "tinygrad-0.9.1.tar.gz", hash = "sha256:8b75ab6dd35647642392adde00efbce370d36f1b71e593fbb948deb7a4249f7e"},
]
[package.dependencies]
numpy = "*"
pyobjc-framework-libdispatch = {version = "*", markers = "platform_system == \"Darwin\""}
pyobjc-framework-Metal = {version = "*", markers = "platform_system == \"Darwin\""}
[package.extras]
arm = ["unicorn"]
docs = ["black", "markdown-callouts", "markdown-exec[ansi]", "mkdocs-material", "mkdocstrings[python]"]
linting = ["mypy", "pre-commit", "pylint", "ruff", "types-tqdm", "typing-extensions"]
llvm = ["llvmlite"]
testing = ["bottle", "hypothesis", "librosa", "networkx", "nibabel", "onnx (==1.16.0)", "onnx2torch", "opencv-python", "pillow", "pytest", "pytest-xdist", "safetensors", "sentencepiece", "tabulate", "tiktoken", "torch", "tqdm", "transformers"]
testing-tf = ["tensorflow (==2.15.1)", "tensorflow-addons"]
triton = ["triton-nightly (>=2.1.0.dev20231014192330)"]
[[package]]
name = "typing-extensions"
version = "4.12.2"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
files = [
{file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
]
[metadata]
lock-version = "2.0"
python-versions = "^3.11"
content-hash = "80377175b6713e4f99e462c74487a47a0cf2cfe6cebe5fd84170d64e2d7e3c38"