-
Notifications
You must be signed in to change notification settings - Fork 6
/
Copy pathpoetry.lock
377 lines (343 loc) · 26.9 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
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
[[package]]
name = "future"
version = "0.18.3"
description = "Clean single-source support for Python 3 and 2"
optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
files = [
{file = "future-0.18.3.tar.gz", hash = "sha256:34a17436ed1e96697a86f9de3d15a3b0be01d8bc8de9c1dffd59fb8234ed5307"},
]
[[package]]
name = "joblib"
version = "0.17.0"
description = "Lightweight pipelining: using Python functions as pipeline jobs."
optional = false
python-versions = ">=3.6"
files = [
{file = "joblib-0.17.0-py3-none-any.whl", hash = "sha256:698c311779f347cf6b7e6b8a39bb682277b8ee4aba8cf9507bc0cf4cd4737b72"},
{file = "joblib-0.17.0.tar.gz", hash = "sha256:9e284edd6be6b71883a63c9b7f124738a3c16195513ad940eae7e3438de885d5"},
]
[[package]]
name = "numpy"
version = "1.19.2"
description = "NumPy is the fundamental package for array computing with Python."
category = "main"
optional = false
python-versions = ">=3.6"
[[package]]
name = "pandas"
version = "1.1.3"
description = "Powerful data structures for data analysis, time series, and statistics"
category = "main"
optional = false
python-versions = ">=3.6.1"
[package.dependencies]
numpy = ">=1.15.4"
python-dateutil = ">=2.7.3"
pytz = ">=2017.2"
[package.extras]
test = ["pytest (>=4.0.2)", "pytest-xdist", "hypothesis (>=3.58)"]
[[package]]
name = "pillow"
version = "8.3.2"
description = "Python Imaging Library (Fork)"
category = "main"
optional = false
python-versions = ">=3.6"
[[package]]
name = "python-dateutil"
version = "2.8.1"
description = "Extensions to the standard Python datetime module"
category = "main"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
[package.dependencies]
six = ">=1.5"
[[package]]
name = "pytz"
version = "2020.1"
description = "World timezone definitions, modern and historical"
category = "main"
optional = false
python-versions = "*"
[[package]]
name = "scikit-learn"
version = "0.22.2.post1"
description = "A set of python modules for machine learning and data mining"
category = "main"
optional = false
python-versions = ">=3.5"
[package.dependencies]
joblib = ">=0.11"
numpy = ">=1.11.0"
scipy = ">=0.17.0"
[package.extras]
alldeps = ["numpy (>=1.11.0)", "scipy (>=0.17.0)"]
[[package]]
name = "scipy"
version = "1.5.2"
description = "SciPy: Scientific Library for Python"
category = "main"
optional = false
python-versions = ">=3.6"
[package.dependencies]
numpy = ">=1.14.5"
[[package]]
name = "six"
version = "1.15.0"
description = "Python 2 and 3 compatibility utilities"
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
[[package]]
name = "torch"
version = "1.6.0"
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
category = "main"
optional = false
python-versions = ">=3.6.1"
[package.dependencies]
future = "*"
numpy = "*"
[metadata]
lock-version = "1.1"
python-versions = ">=3.6.1"
content-hash = "770227677852b779ff460c6f28471caa1ed5a2ae8a47b8e9acbab9d42130755c"
[metadata.files]
future = [
{file = "future-0.18.2.tar.gz", hash = "sha256:b1bead90b70cf6ec3f0710ae53a525360fa360d306a86583adc6bf83a4db537d"},
]
joblib = [
{file = "joblib-0.17.0-py3-none-any.whl", hash = "sha256:698c311779f347cf6b7e6b8a39bb682277b8ee4aba8cf9507bc0cf4cd4737b72"},
{file = "joblib-0.17.0.tar.gz", hash = "sha256:9e284edd6be6b71883a63c9b7f124738a3c16195513ad940eae7e3438de885d5"},
]
numpy = [
{file = "numpy-1.19.2-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:b594f76771bc7fc8a044c5ba303427ee67c17a09b36e1fa32bde82f5c419d17a"},
{file = "numpy-1.19.2-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:e6ddbdc5113628f15de7e4911c02aed74a4ccff531842c583e5032f6e5a179bd"},
{file = "numpy-1.19.2-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:3733640466733441295b0d6d3dcbf8e1ffa7e897d4d82903169529fd3386919a"},
{file = "numpy-1.19.2-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:4339741994c775396e1a274dba3609c69ab0f16056c1077f18979bec2a2c2e6e"},
{file = "numpy-1.19.2-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:7c6646314291d8f5ea900a7ea9c4261f834b5b62159ba2abe3836f4fa6705526"},
{file = "numpy-1.19.2-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:7118f0a9f2f617f921ec7d278d981244ba83c85eea197be7c5a4f84af80a9c3c"},
{file = "numpy-1.19.2-cp36-cp36m-win32.whl", hash = "sha256:9a3001248b9231ed73894c773142658bab914645261275f675d86c290c37f66d"},
{file = "numpy-1.19.2-cp36-cp36m-win_amd64.whl", hash = "sha256:967c92435f0b3ba37a4257c48b8715b76741410467e2bdb1097e8391fccfae15"},
{file = "numpy-1.19.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:d526fa58ae4aead839161535d59ea9565863bb0b0bdb3cc63214613fb16aced4"},
{file = "numpy-1.19.2-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:eb25c381d168daf351147713f49c626030dcff7a393d5caa62515d415a6071d8"},
{file = "numpy-1.19.2-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:62139af94728d22350a571b7c82795b9d59be77fc162414ada6c8b6a10ef5d02"},
{file = "numpy-1.19.2-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:0c66da1d202c52051625e55a249da35b31f65a81cb56e4c69af0dfb8fb0125bf"},
{file = "numpy-1.19.2-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:2117536e968abb7357d34d754e3733b0d7113d4c9f1d921f21a3d96dec5ff716"},
{file = "numpy-1.19.2-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:54045b198aebf41bf6bf4088012777c1d11703bf74461d70cd350c0af2182e45"},
{file = "numpy-1.19.2-cp37-cp37m-win32.whl", hash = "sha256:aba1d5daf1144b956bc87ffb87966791f5e9f3e1f6fab3d7f581db1f5b598f7a"},
{file = "numpy-1.19.2-cp37-cp37m-win_amd64.whl", hash = "sha256:addaa551b298052c16885fc70408d3848d4e2e7352de4e7a1e13e691abc734c1"},
{file = "numpy-1.19.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:58d66a6b3b55178a1f8a5fe98df26ace76260a70de694d99577ddeab7eaa9a9d"},
{file = "numpy-1.19.2-cp38-cp38-manylinux1_i686.whl", hash = "sha256:59f3d687faea7a4f7f93bd9665e5b102f32f3fa28514f15b126f099b7997203d"},
{file = "numpy-1.19.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:cebd4f4e64cfe87f2039e4725781f6326a61f095bc77b3716502bed812b385a9"},
{file = "numpy-1.19.2-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:c35a01777f81e7333bcf276b605f39c872e28295441c265cd0c860f4b40148c1"},
{file = "numpy-1.19.2-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:d7ac33585e1f09e7345aa902c281bd777fdb792432d27fca857f39b70e5dd31c"},
{file = "numpy-1.19.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:04c7d4ebc5ff93d9822075ddb1751ff392a4375e5885299445fcebf877f179d5"},
{file = "numpy-1.19.2-cp38-cp38-win32.whl", hash = "sha256:51ee93e1fac3fe08ef54ff1c7f329db64d8a9c5557e6c8e908be9497ac76374b"},
{file = "numpy-1.19.2-cp38-cp38-win_amd64.whl", hash = "sha256:1669ec8e42f169ff715a904c9b2105b6640f3f2a4c4c2cb4920ae8b2785dac65"},
{file = "numpy-1.19.2-pp36-pypy36_pp73-manylinux2010_x86_64.whl", hash = "sha256:0bfd85053d1e9f60234f28f63d4a5147ada7f432943c113a11afcf3e65d9d4c8"},
{file = "numpy-1.19.2.zip", hash = "sha256:0d310730e1e793527065ad7dde736197b705d0e4c9999775f212b03c44a8484c"},
]
[[package]]
name = "pandas"
version = "1.1.3"
description = "Powerful data structures for data analysis, time series, and statistics"
optional = false
python-versions = ">=3.6.1"
files = [
{file = "pandas-1.1.3-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:882012763668af54b48f1412bab95c5cc0a7ccce5a2a8221cfc3839a6e3394ef"},
{file = "pandas-1.1.3-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:206d7c3e5356dcadf082e64dc25c24bc8541718045826074f96346e9d6d05a20"},
{file = "pandas-1.1.3-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:ca31ac8578d48da354cf66a473d4d5ff99277ca71d321dc7ea4e6fad3c6bb0fd"},
{file = "pandas-1.1.3-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:fd6f05b6101d0e76f3e5c26a47be5be7be96ed84ef3981dc1852e76898e73594"},
{file = "pandas-1.1.3-cp36-cp36m-win32.whl", hash = "sha256:ca71a5aa9eeb3ef5b31feca7d9b6369d6b3d0b2e9c85d7a89abe3ecb013f1e86"},
{file = "pandas-1.1.3-cp36-cp36m-win_amd64.whl", hash = "sha256:54f5f564058b0280d588c3758abde82e280702c440db5faf0c686b80336096f9"},
{file = "pandas-1.1.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:3a038cd5da602b955d335aa80cbaa0e5774f68501ff47b9c21509906981478da"},
{file = "pandas-1.1.3-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:24f61f40febe47edac271eda45d683e42838b7db2bd0f82574d9800259d2b182"},
{file = "pandas-1.1.3-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:427be9938b2f79ab298de84f87693914cda238a27cf10580da96caf3dff64115"},
{file = "pandas-1.1.3-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:5a8a84b75ca3a29bb4263b35d5ed9fcaae2b062f014feed8c5daa897339c7d85"},
{file = "pandas-1.1.3-cp37-cp37m-win32.whl", hash = "sha256:c22e40f1b4d162ca18eb6b2c572e63eef220dbc9cc3de0241cefb77972621bb7"},
{file = "pandas-1.1.3-cp37-cp37m-win_amd64.whl", hash = "sha256:920d30fdff65a079f071db635d282b4f583c2b26f2b58d5dca218aac7c59974d"},
{file = "pandas-1.1.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d6b1f9d506dc23da2915bcae5c5968990049c9cec44108bd9855d2c7c89d91dc"},
{file = "pandas-1.1.3-cp38-cp38-manylinux1_i686.whl", hash = "sha256:b11b496c317dbe007898de699fd59eaf687d0fe8c1b7dad109db6010155d28ae"},
{file = "pandas-1.1.3-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:d89dbc58aec1544722a8d5046f880b597c497ef8a82c5fe695b4b2effafac5ec"},
{file = "pandas-1.1.3-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:df43ea0e9fd9f9672b0de9cac26d01255ad50481994bf3cb4687c21eec2d7bbc"},
{file = "pandas-1.1.3-cp38-cp38-win32.whl", hash = "sha256:a605054fbca71ed1d08bb2aef6f73c84a579bbac956bfe8f9718d5e84cb41248"},
{file = "pandas-1.1.3-cp38-cp38-win_amd64.whl", hash = "sha256:84a4ffe668df357e31f98c829536e3a7142c3036c82f996e639f644c5d32eda1"},
{file = "pandas-1.1.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:147162568b1242355290341baf281926cfac66ada07e634f3fc521ac967e4653"},
{file = "pandas-1.1.3-cp39-cp39-manylinux1_i686.whl", hash = "sha256:2999adc6736f8cb4c69d65a6e2b25a11bcb395da5b048342b8e4d6fe055e57ae"},
{file = "pandas-1.1.3-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:f4cb8252ae71f093f4a6b847adf0bc9330f109c48f08363c2071f189f1c89c87"},
{file = "pandas-1.1.3-cp39-cp39-win32.whl", hash = "sha256:b026e913d88fad3a74eea8ed5a5f98e8823080ea02f8d9bb0ec19e92552daad6"},
{file = "pandas-1.1.3-cp39-cp39-win_amd64.whl", hash = "sha256:11c284769f41e95f7d16a327eb555989c5f29418aad075fa80c97ef3aa8fb885"},
{file = "pandas-1.1.3.tar.gz", hash = "sha256:babbeda2f83b0686c9ad38d93b10516e68cdcd5771007eb80a763e98aaf44613"},
]
pillow = [
{file = "Pillow-8.3.2-cp310-cp310-macosx_10_10_universal2.whl", hash = "sha256:c691b26283c3a31594683217d746f1dad59a7ae1d4cfc24626d7a064a11197d4"},
{file = "Pillow-8.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f514c2717012859ccb349c97862568fdc0479aad85b0270d6b5a6509dbc142e2"},
{file = "Pillow-8.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:be25cb93442c6d2f8702c599b51184bd3ccd83adebd08886b682173e09ef0c3f"},
{file = "Pillow-8.3.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d675a876b295afa114ca8bf42d7f86b5fb1298e1b6bb9a24405a3f6c8338811c"},
{file = "Pillow-8.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:59697568a0455764a094585b2551fd76bfd6b959c9f92d4bdec9d0e14616303a"},
{file = "Pillow-8.3.2-cp310-cp310-win32.whl", hash = "sha256:2d5e9dc0bf1b5d9048a94c48d0813b6c96fccfa4ccf276d9c36308840f40c228"},
{file = "Pillow-8.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:11c27e74bab423eb3c9232d97553111cc0be81b74b47165f07ebfdd29d825875"},
{file = "Pillow-8.3.2-cp36-cp36m-macosx_10_10_x86_64.whl", hash = "sha256:11eb7f98165d56042545c9e6db3ce394ed8b45089a67124298f0473b29cb60b2"},
{file = "Pillow-8.3.2-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2f23b2d3079522fdf3c09de6517f625f7a964f916c956527bed805ac043799b8"},
{file = "Pillow-8.3.2-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:19ec4cfe4b961edc249b0e04b5618666c23a83bc35842dea2bfd5dfa0157f81b"},
{file = "Pillow-8.3.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e5a31c07cea5edbaeb4bdba6f2b87db7d3dc0f446f379d907e51cc70ea375629"},
{file = "Pillow-8.3.2-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:15ccb81a6ffc57ea0137f9f3ac2737ffa1d11f786244d719639df17476d399a7"},
{file = "Pillow-8.3.2-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:8f284dc1695caf71a74f24993b7c7473d77bc760be45f776a2c2f4e04c170550"},
{file = "Pillow-8.3.2-cp36-cp36m-win32.whl", hash = "sha256:4abc247b31a98f29e5224f2d31ef15f86a71f79c7f4d2ac345a5d551d6393073"},
{file = "Pillow-8.3.2-cp36-cp36m-win_amd64.whl", hash = "sha256:a048dad5ed6ad1fad338c02c609b862dfaa921fcd065d747194a6805f91f2196"},
{file = "Pillow-8.3.2-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:06d1adaa284696785375fa80a6a8eb309be722cf4ef8949518beb34487a3df71"},
{file = "Pillow-8.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd24054aaf21e70a51e2a2a5ed1183560d3a69e6f9594a4bfe360a46f94eba83"},
{file = "Pillow-8.3.2-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:27a330bf7014ee034046db43ccbb05c766aa9e70b8d6c5260bfc38d73103b0ba"},
{file = "Pillow-8.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:13654b521fb98abdecec105ea3fb5ba863d1548c9b58831dd5105bb3873569f1"},
{file = "Pillow-8.3.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a1bd983c565f92779be456ece2479840ec39d386007cd4ae83382646293d681b"},
{file = "Pillow-8.3.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:4326ea1e2722f3dc00ed77c36d3b5354b8fb7399fb59230249ea6d59cbed90da"},
{file = "Pillow-8.3.2-cp37-cp37m-win32.whl", hash = "sha256:085a90a99404b859a4b6c3daa42afde17cb3ad3115e44a75f0d7b4a32f06a6c9"},
{file = "Pillow-8.3.2-cp37-cp37m-win_amd64.whl", hash = "sha256:18a07a683805d32826c09acfce44a90bf474e6a66ce482b1c7fcd3757d588df3"},
{file = "Pillow-8.3.2-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:4e59e99fd680e2b8b11bbd463f3c9450ab799305d5f2bafb74fefba6ac058616"},
{file = "Pillow-8.3.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4d89a2e9219a526401015153c0e9dd48319ea6ab9fe3b066a20aa9aee23d9fd3"},
{file = "Pillow-8.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:56fd98c8294f57636084f4b076b75f86c57b2a63a8410c0cd172bc93695ee979"},
{file = "Pillow-8.3.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2b11c9d310a3522b0fd3c35667914271f570576a0e387701f370eb39d45f08a4"},
{file = "Pillow-8.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0412516dcc9de9b0a1e0ae25a280015809de8270f134cc2c1e32c4eeb397cf30"},
{file = "Pillow-8.3.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:bcb04ff12e79b28be6c9988f275e7ab69f01cc2ba319fb3114f87817bb7c74b6"},
{file = "Pillow-8.3.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:0b9911ec70731711c3b6ebcde26caea620cbdd9dcb73c67b0730c8817f24711b"},
{file = "Pillow-8.3.2-cp38-cp38-win32.whl", hash = "sha256:ce2e5e04bb86da6187f96d7bab3f93a7877830981b37f0287dd6479e27a10341"},
{file = "Pillow-8.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:35d27687f027ad25a8d0ef45dd5208ef044c588003cdcedf05afb00dbc5c2deb"},
{file = "Pillow-8.3.2-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:04835e68ef12904bc3e1fd002b33eea0779320d4346082bd5b24bec12ad9c3e9"},
{file = "Pillow-8.3.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:10e00f7336780ca7d3653cf3ac26f068fa11b5a96894ea29a64d3dc4b810d630"},
{file = "Pillow-8.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2cde7a4d3687f21cffdf5bb171172070bb95e02af448c4c8b2f223d783214056"},
{file = "Pillow-8.3.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1c3ff00110835bdda2b1e2b07f4a2548a39744bb7de5946dc8e95517c4fb2ca6"},
{file = "Pillow-8.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:35d409030bf3bd05fa66fb5fdedc39c521b397f61ad04309c90444e893d05f7d"},
{file = "Pillow-8.3.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6bff50ba9891be0a004ef48828e012babaaf7da204d81ab9be37480b9020a82b"},
{file = "Pillow-8.3.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:7dbfbc0020aa1d9bc1b0b8bcf255a7d73f4ad0336f8fd2533fcc54a4ccfb9441"},
{file = "Pillow-8.3.2-cp39-cp39-win32.whl", hash = "sha256:963ebdc5365d748185fdb06daf2ac758116deecb2277ec5ae98139f93844bc09"},
{file = "Pillow-8.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:cc9d0dec711c914ed500f1d0d3822868760954dce98dfb0b7382a854aee55d19"},
{file = "Pillow-8.3.2-pp36-pypy36_pp73-macosx_10_10_x86_64.whl", hash = "sha256:2c661542c6f71dfd9dc82d9d29a8386287e82813b0375b3a02983feac69ef864"},
{file = "Pillow-8.3.2-pp36-pypy36_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:548794f99ff52a73a156771a0402f5e1c35285bd981046a502d7e4793e8facaa"},
{file = "Pillow-8.3.2-pp36-pypy36_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:8b68f565a4175e12e68ca900af8910e8fe48aaa48fd3ca853494f384e11c8bcd"},
{file = "Pillow-8.3.2-pp36-pypy36_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:838eb85de6d9307c19c655c726f8d13b8b646f144ca6b3771fa62b711ebf7624"},
{file = "Pillow-8.3.2-pp36-pypy36_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:feb5db446e96bfecfec078b943cc07744cc759893cef045aa8b8b6d6aaa8274e"},
{file = "Pillow-8.3.2-pp37-pypy37_pp73-macosx_10_10_x86_64.whl", hash = "sha256:fc0db32f7223b094964e71729c0361f93db43664dd1ec86d3df217853cedda87"},
{file = "Pillow-8.3.2-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:fd4fd83aa912d7b89b4b4a1580d30e2a4242f3936882a3f433586e5ab97ed0d5"},
{file = "Pillow-8.3.2-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:d0c8ebbfd439c37624db98f3877d9ed12c137cadd99dde2d2eae0dab0bbfc355"},
{file = "Pillow-8.3.2-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6cb3dd7f23b044b0737317f892d399f9e2f0b3a02b22b2c692851fb8120d82c6"},
{file = "Pillow-8.3.2-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a66566f8a22561fc1a88dc87606c69b84fa9ce724f99522cf922c801ec68f5c1"},
{file = "Pillow-8.3.2-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:ce651ca46d0202c302a535d3047c55a0131a720cf554a578fc1b8a2aff0e7d96"},
{file = "Pillow-8.3.2.tar.gz", hash = "sha256:dde3f3ed8d00c72631bc19cbfff8ad3b6215062a5eed402381ad365f82f0c18c"},
]
[[package]]
name = "python-dateutil"
version = "2.8.1"
description = "Extensions to the standard Python datetime module"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
files = [
{file = "python-dateutil-2.8.1.tar.gz", hash = "sha256:73ebfe9dbf22e832286dafa60473e4cd239f8592f699aa5adaf10050e6e1823c"},
{file = "python_dateutil-2.8.1-py2.py3-none-any.whl", hash = "sha256:75bb3f31ea686f1197762692a9ee6a7550b59fc6ca3a1f4b5d7e32fb98e2da2a"},
]
[package.dependencies]
six = ">=1.5"
[[package]]
name = "pytz"
version = "2020.1"
description = "World timezone definitions, modern and historical"
optional = false
python-versions = "*"
files = [
{file = "pytz-2020.1-py2.py3-none-any.whl", hash = "sha256:a494d53b6d39c3c6e44c3bec237336e14305e4f29bbf800b599253057fbb79ed"},
{file = "pytz-2020.1.tar.gz", hash = "sha256:c35965d010ce31b23eeb663ed3cc8c906275d6be1a34393a1d73a41febf4a048"},
]
[[package]]
name = "scikit-learn"
version = "0.22.2.post1"
description = "A set of python modules for machine learning and data mining"
optional = false
python-versions = ">=3.5"
files = [
{file = "scikit-learn-0.22.2.post1.tar.gz", hash = "sha256:57538d138ba54407d21e27c306735cbd42a6aae0df6a5a30c7a6edde46b0017d"},
{file = "scikit_learn-0.22.2.post1-cp35-cp35m-macosx_10_9_intel.whl", hash = "sha256:267ad874b54c67b479c3b45eb132ef4a56ab2b27963410624a413a4e2a3fc388"},
{file = "scikit_learn-0.22.2.post1-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:8ed66ab27b3d68e57bb1f315fc35e595a5c4a1f108c3420943de4d18fc40e615"},
{file = "scikit_learn-0.22.2.post1-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:4990f0e166292d2a0f0ee528233723bcfd238bfdb3ec2512a9e27f5695362f35"},
{file = "scikit_learn-0.22.2.post1-cp35-cp35m-win32.whl", hash = "sha256:ddd3bf82977908ff69303115dd5697606e669d8a7eafd7d83bb153ef9e11bd5e"},
{file = "scikit_learn-0.22.2.post1-cp35-cp35m-win_amd64.whl", hash = "sha256:349ba3d837fb3f7cb2b91486c43713e4b7de17f9e852f165049b1b7ac2f81478"},
{file = "scikit_learn-0.22.2.post1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:73207dca6e70f8f611f28add185cf3a793c8232a1722f21d82259560dc35cd50"},
{file = "scikit_learn-0.22.2.post1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:de9933297f8659ee3bb330eafdd80d74cd73d5dab39a9026b65a4156bc479063"},
{file = "scikit_learn-0.22.2.post1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:6043e2c4ccfc68328c331b0fc19691be8fb02bd76d694704843a23ad651de902"},
{file = "scikit_learn-0.22.2.post1-cp36-cp36m-win32.whl", hash = "sha256:8416150ab505f1813da02cdbdd9f367b05bfc75cf251235015bb09f8674358a0"},
{file = "scikit_learn-0.22.2.post1-cp36-cp36m-win_amd64.whl", hash = "sha256:a7f8aa93f61aaad080b29a9018db93ded0586692c03ddf2122e47dd1d3a14e1b"},
{file = "scikit_learn-0.22.2.post1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:eb4c9f0019abb374a2e55150f070a333c8f990b850d1eb4dfc2765fc317ffc7c"},
{file = "scikit_learn-0.22.2.post1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:ffce8abfdcd459e72e5b91727b247b401b22253cbd18d251f842a60e26262d6f"},
{file = "scikit_learn-0.22.2.post1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:84e759a766c315deb5c85139ff879edbb0aabcddb9358acf499564ed1c21e337"},
{file = "scikit_learn-0.22.2.post1-cp37-cp37m-win32.whl", hash = "sha256:5b722e8bb708f254af028dc2da86d23df5371cba57e24f889b672e7b15423caa"},
{file = "scikit_learn-0.22.2.post1-cp37-cp37m-win_amd64.whl", hash = "sha256:3f4d8eea3531d3eaf613fa33f711113dfff6021d57a49c9d319af4afb46f72f0"},
{file = "scikit_learn-0.22.2.post1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2d1bb83d6c51a81193d8a6b5f31930e2959c0e1019d49bdd03f54163735dae4b"},
{file = "scikit_learn-0.22.2.post1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:ea91a70a992ada395efc3d510cf011dc2d99dc9037bb38cd1cb00e14745005f5"},
{file = "scikit_learn-0.22.2.post1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:83fc104a799cb340054e485c25dfeee712b36f5638fb374eba45a9db490f16ff"},
{file = "scikit_learn-0.22.2.post1-cp38-cp38-win32.whl", hash = "sha256:1bf45e62799b6938357cfce19f72e3751448c4b27010e4f98553da669b5bbd86"},
{file = "scikit_learn-0.22.2.post1-cp38-cp38-win_amd64.whl", hash = "sha256:672ea38eb59b739a8907ec063642b486bcb5a2073dda5b72b7983eeaf1fd67c1"},
]
[package.dependencies]
joblib = ">=0.11"
numpy = ">=1.11.0"
scipy = ">=0.17.0"
[package.extras]
alldeps = ["numpy (>=1.11.0)", "scipy (>=0.17.0)"]
[[package]]
name = "scipy"
version = "1.5.2"
description = "SciPy: Scientific Library for Python"
optional = false
python-versions = ">=3.6"
files = [
{file = "scipy-1.5.2-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:cca9fce15109a36a0a9f9cfc64f870f1c140cb235ddf27fe0328e6afb44dfed0"},
{file = "scipy-1.5.2-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:1c7564a4810c1cd77fcdee7fa726d7d39d4e2695ad252d7c86c3ea9d85b7fb8f"},
{file = "scipy-1.5.2-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:07e52b316b40a4f001667d1ad4eb5f2318738de34597bd91537851365b6c61f1"},
{file = "scipy-1.5.2-cp36-cp36m-win32.whl", hash = "sha256:d56b10d8ed72ec1be76bf10508446df60954f08a41c2d40778bc29a3a9ad9bce"},
{file = "scipy-1.5.2-cp36-cp36m-win_amd64.whl", hash = "sha256:8e28e74b97fc8d6aa0454989db3b5d36fc27e69cef39a7ee5eaf8174ca1123cb"},
{file = "scipy-1.5.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:6e86c873fe1335d88b7a4bfa09d021f27a9e753758fd75f3f92d714aa4093768"},
{file = "scipy-1.5.2-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:a0afbb967fd2c98efad5f4c24439a640d39463282040a88e8e928db647d8ac3d"},
{file = "scipy-1.5.2-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:eecf40fa87eeda53e8e11d265ff2254729d04000cd40bae648e76ff268885d66"},
{file = "scipy-1.5.2-cp37-cp37m-win32.whl", hash = "sha256:315aa2165aca31375f4e26c230188db192ed901761390be908c9b21d8b07df62"},
{file = "scipy-1.5.2-cp37-cp37m-win_amd64.whl", hash = "sha256:ec5fe57e46828d034775b00cd625c4a7b5c7d2e354c3b258d820c6c72212a6ec"},
{file = "scipy-1.5.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:fc98f3eac993b9bfdd392e675dfe19850cc8c7246a8fd2b42443e506344be7d9"},
{file = "scipy-1.5.2-cp38-cp38-manylinux1_i686.whl", hash = "sha256:a785409c0fa51764766840185a34f96a0a93527a0ff0230484d33a8ed085c8f8"},
{file = "scipy-1.5.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:0a0e9a4e58a4734c2eba917f834b25b7e3b6dc333901ce7784fd31aefbd37b2f"},
{file = "scipy-1.5.2-cp38-cp38-win32.whl", hash = "sha256:dac09281a0eacd59974e24525a3bc90fa39b4e95177e638a31b14db60d3fa806"},
{file = "scipy-1.5.2-cp38-cp38-win_amd64.whl", hash = "sha256:92eb04041d371fea828858e4fff182453c25ae3eaa8782d9b6c32b25857d23bc"},
{file = "scipy-1.5.2.tar.gz", hash = "sha256:066c513d90eb3fd7567a9e150828d39111ebd88d3e924cdfc9f8ce19ab6f90c9"},
]
[package.dependencies]
numpy = ">=1.14.5"
[[package]]
name = "six"
version = "1.15.0"
description = "Python 2 and 3 compatibility utilities"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
files = [
{file = "six-1.15.0-py2.py3-none-any.whl", hash = "sha256:8b74bedcbbbaca38ff6d7491d76f2b06b3592611af620f8426e82dddb04a5ced"},
{file = "six-1.15.0.tar.gz", hash = "sha256:30639c035cdb23534cd4aa2dd52c3bf48f06e5f4a941509c8bafd8ce11080259"},
]
[[package]]
name = "torch"
version = "1.6.0"
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
optional = false
python-versions = ">=3.6.1"
files = [
{file = "torch-1.6.0-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:7669f4d923b5758e28b521ea749c795ed67ff24b45ba20296bc8cff706d08df8"},
{file = "torch-1.6.0-cp36-none-macosx_10_9_x86_64.whl", hash = "sha256:728facb972a5952323c6d790c2c5922b2b35c44b0bc7bdfa02f8639727671a0c"},
{file = "torch-1.6.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:87d65c01d1b70bb46070824f28bfd93c86d3c5c56b90cbbe836a3f2491d91c76"},
{file = "torch-1.6.0-cp37-none-macosx_10_9_x86_64.whl", hash = "sha256:3838bd01af7dfb1f78573973f6842ce75b17e8e4f22be99c891dcb7c94bc13f5"},
{file = "torch-1.6.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:5357873e243bcfa804c32dc341f564e9a4c12addfc9baae4ee857fcc09a0a216"},
{file = "torch-1.6.0-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:4f9a4ad7947cef566afb0a323d99009fe8524f0b0f2ca1fb7ad5de0400381a5b"},
]
[package.dependencies]
future = "*"
numpy = "*"
[metadata]
lock-version = "2.0"
python-versions = ">=3.6.1"
content-hash = "f5bcffabd41af30309472108d4e09666c315c741c27a60efc21eb0f55f5478c6"