-
Notifications
You must be signed in to change notification settings - Fork 0
/
poetry.lock
308 lines (284 loc) · 20.9 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
[[package]]
category = "main"
description = "Composable style cycles"
name = "cycler"
optional = false
python-versions = "*"
version = "0.10.0"
[package.dependencies]
six = "*"
[[package]]
category = "main"
description = "A fast implementation of the Cassowary constraint solver"
name = "kiwisolver"
optional = false
python-versions = ">=3.6"
version = "1.2.0"
[[package]]
category = "main"
description = "Python plotting package"
name = "matplotlib"
optional = false
python-versions = ">=3.6"
version = "3.2.2"
[package.dependencies]
cycler = ">=0.10"
kiwisolver = ">=1.0.1"
numpy = ">=1.11"
pyparsing = ">=2.0.1,<2.0.4 || >2.0.4,<2.1.2 || >2.1.2,<2.1.6 || >2.1.6"
python-dateutil = ">=2.1"
[[package]]
category = "main"
description = "NumPy is the fundamental package for array computing with Python."
name = "numpy"
optional = false
python-versions = ">=3.6"
version = "1.19.0"
[[package]]
category = "main"
description = "Powerful data structures for data analysis, time series, and statistics"
name = "pandas"
optional = false
python-versions = ">=3.6.1"
version = "1.0.5"
[package.dependencies]
numpy = ">=1.13.3"
python-dateutil = ">=2.6.1"
pytz = ">=2017.2"
[package.extras]
test = ["pytest (>=4.0.2)", "pytest-xdist", "hypothesis (>=3.58)"]
[[package]]
category = "main"
description = "A Python package for describing statistical models and for building design matrices."
name = "patsy"
optional = false
python-versions = "*"
version = "0.5.1"
[package.dependencies]
numpy = ">=1.4"
six = "*"
[[package]]
category = "main"
description = "Python parsing module"
name = "pyparsing"
optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
version = "2.4.7"
[[package]]
category = "main"
description = "Extensions to the standard Python datetime module"
name = "python-dateutil"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
version = "2.8.1"
[package.dependencies]
six = ">=1.5"
[[package]]
category = "main"
description = "World timezone definitions, modern and historical"
name = "pytz"
optional = false
python-versions = "*"
version = "2020.1"
[[package]]
category = "main"
description = "SciPy: Scientific Library for Python"
name = "scipy"
optional = false
python-versions = ">=3.6"
version = "1.5.1"
[package.dependencies]
numpy = ">=1.14.5"
[[package]]
category = "main"
description = "seaborn: statistical data visualization"
name = "seaborn"
optional = false
python-versions = ">=3.6"
version = "0.10.1"
[package.dependencies]
matplotlib = ">=2.1.2"
numpy = ">=1.13.3"
pandas = ">=0.22.0"
scipy = ">=1.0.1"
[[package]]
category = "main"
description = "Python 2 and 3 compatibility utilities"
name = "six"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
version = "1.15.0"
[[package]]
category = "main"
description = "Statistical computations and models for Python"
name = "statsmodels"
optional = false
python-versions = ">=3.5"
version = "0.11.1"
[package.dependencies]
numpy = ">=1.14"
pandas = ">=0.21"
patsy = ">=0.5"
scipy = ">=1.0"
[package.extras]
build = ["cython (>=0.29)"]
develop = ["cython (>=0.29)"]
docs = ["sphinx", "nbconvert", "jupyter-client", "ipykernel", "matplotlib", "nbformat", "numpydoc", "pandas-datareader"]
[metadata]
content-hash = "7168e2be2c0bbbe2c933f8e063c45298f4e7cf8ba5c8065d565f0c690a2690f4"
python-versions = "^3.8"
[metadata.files]
cycler = [
{file = "cycler-0.10.0-py2.py3-none-any.whl", hash = "sha256:1d8a5ae1ff6c5cf9b93e8811e581232ad8920aeec647c37316ceac982b08cb2d"},
{file = "cycler-0.10.0.tar.gz", hash = "sha256:cd7b2d1018258d7247a71425e9f26463dfb444d411c39569972f4ce586b0c9d8"},
]
kiwisolver = [
{file = "kiwisolver-1.2.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:443c2320520eda0a5b930b2725b26f6175ca4453c61f739fef7a5847bd262f74"},
{file = "kiwisolver-1.2.0-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:efcf3397ae1e3c3a4a0a0636542bcad5adad3b1dd3e8e629d0b6e201347176c8"},
{file = "kiwisolver-1.2.0-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:fccefc0d36a38c57b7bd233a9b485e2f1eb71903ca7ad7adacad6c28a56d62d2"},
{file = "kiwisolver-1.2.0-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:be046da49fbc3aa9491cc7296db7e8d27bcf0c3d5d1a40259c10471b014e4e0c"},
{file = "kiwisolver-1.2.0-cp36-none-win32.whl", hash = "sha256:60a78858580761fe611d22127868f3dc9f98871e6fdf0a15cc4203ed9ba6179b"},
{file = "kiwisolver-1.2.0-cp36-none-win_amd64.whl", hash = "sha256:556da0a5f60f6486ec4969abbc1dd83cf9b5c2deadc8288508e55c0f5f87d29c"},
{file = "kiwisolver-1.2.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:7cc095a4661bdd8a5742aaf7c10ea9fac142d76ff1770a0f84394038126d8fc7"},
{file = "kiwisolver-1.2.0-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:c955791d80e464da3b471ab41eb65cf5a40c15ce9b001fdc5bbc241170de58ec"},
{file = "kiwisolver-1.2.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:603162139684ee56bcd57acc74035fceed7dd8d732f38c0959c8bd157f913fec"},
{file = "kiwisolver-1.2.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:63f55f490b958b6299e4e5bdac66ac988c3d11b7fafa522800359075d4fa56d1"},
{file = "kiwisolver-1.2.0-cp37-none-win32.whl", hash = "sha256:03662cbd3e6729f341a97dd2690b271e51a67a68322affab12a5b011344b973c"},
{file = "kiwisolver-1.2.0-cp37-none-win_amd64.whl", hash = "sha256:4eadb361baf3069f278b055e3bb53fa189cea2fd02cb2c353b7a99ebb4477ef1"},
{file = "kiwisolver-1.2.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c31bc3c8e903d60a1ea31a754c72559398d91b5929fcb329b1c3a3d3f6e72113"},
{file = "kiwisolver-1.2.0-cp38-cp38-manylinux1_i686.whl", hash = "sha256:d52b989dc23cdaa92582ceb4af8d5bcc94d74b2c3e64cd6785558ec6a879793e"},
{file = "kiwisolver-1.2.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:e586b28354d7b6584d8973656a7954b1c69c93f708c0c07b77884f91640b7657"},
{file = "kiwisolver-1.2.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:38d05c9ecb24eee1246391820ed7137ac42a50209c203c908154782fced90e44"},
{file = "kiwisolver-1.2.0-cp38-none-win32.whl", hash = "sha256:d069ef4b20b1e6b19f790d00097a5d5d2c50871b66d10075dab78938dc2ee2cf"},
{file = "kiwisolver-1.2.0-cp38-none-win_amd64.whl", hash = "sha256:18d749f3e56c0480dccd1714230da0f328e6e4accf188dd4e6884bdd06bf02dd"},
{file = "kiwisolver-1.2.0.tar.gz", hash = "sha256:247800260cd38160c362d211dcaf4ed0f7816afb5efe56544748b21d6ad6d17f"},
]
matplotlib = [
{file = "matplotlib-3.2.2-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:a47abc48c7b81fe6e636dde8a58e49b13d87d140e0f448213a4879f4a3f73345"},
{file = "matplotlib-3.2.2-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:20bcd11efe194cd302bd0653cb025b8d16bcd80442359bfca8d49dc805f35ec8"},
{file = "matplotlib-3.2.2-cp36-cp36m-win32.whl", hash = "sha256:2a6d64336b547e25730b6221e7aadfb01a391a065d43b5f51f0b9d7f673d2dd2"},
{file = "matplotlib-3.2.2-cp36-cp36m-win_amd64.whl", hash = "sha256:4416825ebc9c1f135027a30e8d8aea0edcf45078ce767c7f7386737413cfb98f"},
{file = "matplotlib-3.2.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:465c752278d27895e23f1379d6fcfa3a2990643b803c25e3bc16a10641d2346a"},
{file = "matplotlib-3.2.2-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:81de040403a33bf3c68e9d4a40e26c8d24da00f7e3fadd845003b7e106785da7"},
{file = "matplotlib-3.2.2-cp37-cp37m-win32.whl", hash = "sha256:006413f08ba5db1f5b1e0d6fbdc2ac9058b062ccf552f57182563a78579c34b4"},
{file = "matplotlib-3.2.2-cp37-cp37m-win_amd64.whl", hash = "sha256:da06fa530591a141ffbe1712bbeec784734c3436b40c942d21652f305199b5d9"},
{file = "matplotlib-3.2.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:894dd47c0a6ce38dc19bc87d1f7e2b0608310b2a18d1572291157450b05ce874"},
{file = "matplotlib-3.2.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:1ab264770e7cf2cf4feb99f22c737066aef21ddf1ec402dc255450ac15eacb7b"},
{file = "matplotlib-3.2.2-cp38-cp38-win32.whl", hash = "sha256:91c153f4318e3c67c035fd1185f5ea2613f15008b73b66985033033f6fe54bbd"},
{file = "matplotlib-3.2.2-cp38-cp38-win_amd64.whl", hash = "sha256:a68e42e22f7fd190a532e4215e142276970c2d54040a0c46842fcb3db8b6ec5b"},
{file = "matplotlib-3.2.2-cp39-cp39-win32.whl", hash = "sha256:647cf232ccf6265d2ba1ac4103e8c8b6ac7b03a40da3421234ffb03dda217f59"},
{file = "matplotlib-3.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:31d32c83bb2b617377c6156f75e88b9ec2ded289e47ad4ff0f263dc1019d88b1"},
{file = "matplotlib-3.2.2-pp36-pypy36_pp73-win32.whl", hash = "sha256:67065d938df34478451af62fbd0670d2b51c4d859fb66673064eb5de8660dd7c"},
{file = "matplotlib-3.2.2.tar.gz", hash = "sha256:3d77a6630d093d74cbbfebaa0571d00790966be1ed204e4a8239f5cbd6835c5d"},
]
numpy = [
{file = "numpy-1.19.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:63d971bb211ad3ca37b2adecdd5365f40f3b741a455beecba70fd0dde8b2a4cb"},
{file = "numpy-1.19.0-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:b6aaeadf1e4866ca0fdf7bb4eed25e521ae21a7947c59f78154b24fc7abbe1dd"},
{file = "numpy-1.19.0-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:13af0184177469192d80db9bd02619f6fa8b922f9f327e077d6f2a6acb1ce1c0"},
{file = "numpy-1.19.0-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:356f96c9fbec59974a592452ab6a036cd6f180822a60b529a975c9467fcd5f23"},
{file = "numpy-1.19.0-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:fa1fe75b4a9e18b66ae7f0b122543c42debcf800aaafa0212aaff3ad273c2596"},
{file = "numpy-1.19.0-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:cbe326f6d364375a8e5a8ccb7e9cd73f4b2f6dc3b2ed205633a0db8243e2a96a"},
{file = "numpy-1.19.0-cp36-cp36m-win32.whl", hash = "sha256:a2e3a39f43f0ce95204beb8fe0831199542ccab1e0c6e486a0b4947256215632"},
{file = "numpy-1.19.0-cp36-cp36m-win_amd64.whl", hash = "sha256:7b852817800eb02e109ae4a9cef2beda8dd50d98b76b6cfb7b5c0099d27b52d4"},
{file = "numpy-1.19.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:d97a86937cf9970453c3b62abb55a6475f173347b4cde7f8dcdb48c8e1b9952d"},
{file = "numpy-1.19.0-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:a86c962e211f37edd61d6e11bb4df7eddc4a519a38a856e20a6498c319efa6b0"},
{file = "numpy-1.19.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:d34fbb98ad0d6b563b95de852a284074514331e6b9da0a9fc894fb1cdae7a79e"},
{file = "numpy-1.19.0-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:658624a11f6e1c252b2cd170d94bf28c8f9410acab9f2fd4369e11e1cd4e1aaf"},
{file = "numpy-1.19.0-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:4d054f013a1983551254e2379385e359884e5af105e3efe00418977d02f634a7"},
{file = "numpy-1.19.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:26a45798ca2a4e168d00de75d4a524abf5907949231512f372b217ede3429e98"},
{file = "numpy-1.19.0-cp37-cp37m-win32.whl", hash = "sha256:3c40c827d36c6d1c3cf413694d7dc843d50997ebffbc7c87d888a203ed6403a7"},
{file = "numpy-1.19.0-cp37-cp37m-win_amd64.whl", hash = "sha256:be62aeff8f2f054eff7725f502f6228298891fd648dc2630e03e44bf63e8cee0"},
{file = "numpy-1.19.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:dd53d7c4a69e766e4900f29db5872f5824a06827d594427cf1a4aa542818b796"},
{file = "numpy-1.19.0-cp38-cp38-manylinux1_i686.whl", hash = "sha256:30a59fb41bb6b8c465ab50d60a1b298d1cd7b85274e71f38af5a75d6c475d2d2"},
{file = "numpy-1.19.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:df1889701e2dfd8ba4dc9b1a010f0a60950077fb5242bb92c8b5c7f1a6f2668a"},
{file = "numpy-1.19.0-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:33c623ef9ca5e19e05991f127c1be5aeb1ab5cdf30cb1c5cf3960752e58b599b"},
{file = "numpy-1.19.0-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:26f509450db547e4dfa3ec739419b31edad646d21fb8d0ed0734188b35ff6b27"},
{file = "numpy-1.19.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:7b57f26e5e6ee2f14f960db46bd58ffdca25ca06dd997729b1b179fddd35f5a3"},
{file = "numpy-1.19.0-cp38-cp38-win32.whl", hash = "sha256:a8705c5073fe3fcc297fb8e0b31aa794e05af6a329e81b7ca4ffecab7f2b95ef"},
{file = "numpy-1.19.0-cp38-cp38-win_amd64.whl", hash = "sha256:c2edbb783c841e36ca0fa159f0ae97a88ce8137fb3a6cd82eae77349ba4b607b"},
{file = "numpy-1.19.0-pp36-pypy36_pp73-manylinux2010_x86_64.whl", hash = "sha256:8cde829f14bd38f6da7b2954be0f2837043e8b8d7a9110ec5e318ae6bf706610"},
{file = "numpy-1.19.0.zip", hash = "sha256:76766cc80d6128750075378d3bb7812cf146415bd29b588616f72c943c00d598"},
]
pandas = [
{file = "pandas-1.0.5-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:faa42a78d1350b02a7d2f0dbe3c80791cf785663d6997891549d0f86dc49125e"},
{file = "pandas-1.0.5-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:9c31d52f1a7dd2bb4681d9f62646c7aa554f19e8e9addc17e8b1b20011d7522d"},
{file = "pandas-1.0.5-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:8778a5cc5a8437a561e3276b85367412e10ae9fff07db1eed986e427d9a674f8"},
{file = "pandas-1.0.5-cp36-cp36m-win32.whl", hash = "sha256:9871ef5ee17f388f1cb35f76dc6106d40cb8165c562d573470672f4cdefa59ef"},
{file = "pandas-1.0.5-cp36-cp36m-win_amd64.whl", hash = "sha256:35b670b0abcfed7cad76f2834041dcf7ae47fd9b22b63622d67cdc933d79f453"},
{file = "pandas-1.0.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c9410ce8a3dee77653bc0684cfa1535a7f9c291663bd7ad79e39f5ab58f67ab3"},
{file = "pandas-1.0.5-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:02f1e8f71cd994ed7fcb9a35b6ddddeb4314822a0e09a9c5b2d278f8cb5d4096"},
{file = "pandas-1.0.5-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:b3c4f93fcb6e97d993bf87cdd917883b7dab7d20c627699f360a8fb49e9e0b91"},
{file = "pandas-1.0.5-cp37-cp37m-win32.whl", hash = "sha256:5759edf0b686b6f25a5d4a447ea588983a33afc8a0081a0954184a4a87fd0dd7"},
{file = "pandas-1.0.5-cp37-cp37m-win_amd64.whl", hash = "sha256:ab8173a8efe5418bbe50e43f321994ac6673afc5c7c4839014cf6401bbdd0705"},
{file = "pandas-1.0.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:13f75fb18486759da3ff40f5345d9dd20e7d78f2a39c5884d013456cec9876f0"},
{file = "pandas-1.0.5-cp38-cp38-manylinux1_i686.whl", hash = "sha256:5a7cf6044467c1356b2b49ef69e50bf4d231e773c3ca0558807cdba56b76820b"},
{file = "pandas-1.0.5-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:ae961f1f0e270f1e4e2273f6a539b2ea33248e0e3a11ffb479d757918a5e03a9"},
{file = "pandas-1.0.5-cp38-cp38-win32.whl", hash = "sha256:f69e0f7b7c09f1f612b1f8f59e2df72faa8a6b41c5a436dde5b615aaf948f107"},
{file = "pandas-1.0.5-cp38-cp38-win_amd64.whl", hash = "sha256:4c73f373b0800eb3062ffd13d4a7a2a6d522792fa6eb204d67a4fad0a40f03dc"},
{file = "pandas-1.0.5.tar.gz", hash = "sha256:69c5d920a0b2a9838e677f78f4dde506b95ea8e4d30da25859db6469ded84fa8"},
]
patsy = [
{file = "patsy-0.5.1-py2.py3-none-any.whl", hash = "sha256:5465be1c0e670c3a965355ec09e9a502bf2c4cbe4875e8528b0221190a8a5d40"},
{file = "patsy-0.5.1.tar.gz", hash = "sha256:f115cec4201e1465cd58b9866b0b0e7b941caafec129869057405bfe5b5e3991"},
]
pyparsing = [
{file = "pyparsing-2.4.7-py2.py3-none-any.whl", hash = "sha256:ef9d7589ef3c200abe66653d3f1ab1033c3c419ae9b9bdb1240a85b024efc88b"},
{file = "pyparsing-2.4.7.tar.gz", hash = "sha256:c203ec8783bf771a155b207279b9bccb8dea02d8f0c9e5f8ead507bc3246ecc1"},
]
python-dateutil = [
{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"},
]
pytz = [
{file = "pytz-2020.1-py2.py3-none-any.whl", hash = "sha256:a494d53b6d39c3c6e44c3bec237336e14305e4f29bbf800b599253057fbb79ed"},
{file = "pytz-2020.1.tar.gz", hash = "sha256:c35965d010ce31b23eeb663ed3cc8c906275d6be1a34393a1d73a41febf4a048"},
]
scipy = [
{file = "scipy-1.5.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:058e84930407927f71963a4ad8c1dc96c4d2d075636a68578195648c81f78810"},
{file = "scipy-1.5.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:7908c85854c5b5b6d3ce7fefafac1ca3e23ff9ac41edabc2d46ae5dc9fa070ac"},
{file = "scipy-1.5.1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:8302d69fb1528ea7c7f2a1ea640d354c981b6eb8192d1c175349874209397604"},
{file = "scipy-1.5.1-cp36-cp36m-win32.whl", hash = "sha256:35d042d6499caf1a5d171baed0ebf01eb665b7af2ad98a8ff1b0e6e783654540"},
{file = "scipy-1.5.1-cp36-cp36m-win_amd64.whl", hash = "sha256:5e0bb43ff581811ab7f27425f6b96c1ddf7591ccad2e486c9af0b910c18f7185"},
{file = "scipy-1.5.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b4858ccbd88f4b53950fb9fc0069c1d9fea83d7cff2382e1d8b023d3f4883014"},
{file = "scipy-1.5.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:eb46d8b5947ca27b0bc972cecfba8130f088a83ab3d08c1a6033d9070b3046b3"},
{file = "scipy-1.5.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:fff15df01bef1243468be60c55178ed7576270b200aab08a7ffd5b8e0bbc340c"},
{file = "scipy-1.5.1-cp37-cp37m-win32.whl", hash = "sha256:81859ed3aad620752dd2c07c32b5d3a80a0d47c5e3813904621954a78a0ae899"},
{file = "scipy-1.5.1-cp37-cp37m-win_amd64.whl", hash = "sha256:c05c6fe76228cc13c5214e9faf5f2a871a1da54473bc417ab9da310d0e5fff8b"},
{file = "scipy-1.5.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:71742889393a724dfce755b6b61228677873d269a4234e51ddaf08b998433c91"},
{file = "scipy-1.5.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:9323d268775991b79690f7b9a28a4e8b8c4f2b160ed9f8a90123127314e2d3c1"},
{file = "scipy-1.5.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:06b19a650471781056c1a2172eeeeb777b8b516e9434005dd392a4559e0938b9"},
{file = "scipy-1.5.1-cp38-cp38-win32.whl", hash = "sha256:57a0f2be3063dbe1e3daf31ec9005576e8fd1022a28159d0db71d14566899d16"},
{file = "scipy-1.5.1-cp38-cp38-win_amd64.whl", hash = "sha256:c06e731aa46c0dfc563cc636155758178ebc019ef78b9b0f4370effe2ac0f0e6"},
{file = "scipy-1.5.1.tar.gz", hash = "sha256:039572f0ca9578a466683558c5bf1e65d442860ec6e13307d528749cfe6d07b8"},
]
seaborn = [
{file = "seaborn-0.10.1-py3-none-any.whl", hash = "sha256:c901ce494541fb4714cfa7db79d0232dc3f4c4dfd3f273bacf17816084df5b53"},
{file = "seaborn-0.10.1.tar.gz", hash = "sha256:2d1a0c9d6bd1bc3cadb0364b8f06540f51322a670cf8438d0fde1c1c7317adc0"},
]
six = [
{file = "six-1.15.0-py2.py3-none-any.whl", hash = "sha256:8b74bedcbbbaca38ff6d7491d76f2b06b3592611af620f8426e82dddb04a5ced"},
{file = "six-1.15.0.tar.gz", hash = "sha256:30639c035cdb23534cd4aa2dd52c3bf48f06e5f4a941509c8bafd8ce11080259"},
]
statsmodels = [
{file = "statsmodels-0.11.1-cp35-cp35m-macosx_10_13_intel.whl", hash = "sha256:47e0f27fe515fae06240a1f1dbcdce8b93417ea294b4965335f538627f711b10"},
{file = "statsmodels-0.11.1-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:92536c3579a6c7fbdaeb1c026781a17d4760e4b76ca861eaae05b2a43309dca5"},
{file = "statsmodels-0.11.1-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:1e3ae5671cae0da8f94ce5e9331fc9880fe6210ffd5750ac961f84203d262763"},
{file = "statsmodels-0.11.1-cp35-none-win32.whl", hash = "sha256:e728156ae279f05574ef9e840ec57f44c96c85ba14010169e9b4e1085d89642f"},
{file = "statsmodels-0.11.1-cp35-none-win_amd64.whl", hash = "sha256:f2ac0559d6ef824d5a47576f572de62b0f088ef4f912dd40298ee9ab20d3ef9b"},
{file = "statsmodels-0.11.1-cp36-cp36m-macosx_10_13_x86_64.whl", hash = "sha256:5e7afc596164c1c7464ba3943721a9668aa0ce07853ce9881ac49d3a043784dd"},
{file = "statsmodels-0.11.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:bce1e6b94ade985a8319621c9ea4f7e312ed8cfcb5d93ab0cb0013c58b98680c"},
{file = "statsmodels-0.11.1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:9efd2e27c08077330cecdbfb589cf84d735abface94e9a6387282a6a7c91362d"},
{file = "statsmodels-0.11.1-cp36-none-win32.whl", hash = "sha256:02e95c567ac77834210ecbe96a64eb939fc42669f95d583ac6184b00830db743"},
{file = "statsmodels-0.11.1-cp36-none-win_amd64.whl", hash = "sha256:49aa8ffbe0b0e2e86afa58dec6bd5c483898e9b8223d8a7d13b69b5ad144b674"},
{file = "statsmodels-0.11.1-cp37-cp37m-macosx_10_13_x86_64.whl", hash = "sha256:59403da80bdba84713d93f36897fba4fd3b2964a1b983816ed488a405abc18b1"},
{file = "statsmodels-0.11.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:6e7e2cb74d8ae56cffc0581f3467cdcd16d8f7e97297974cefdf0d727020c287"},
{file = "statsmodels-0.11.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:67e1a5d9fc6900209203cd446b2ed6822eb4b03581dea669c4fe97f512cfde36"},
{file = "statsmodels-0.11.1-cp37-none-win32.whl", hash = "sha256:f5e4928e230332260cb55458953dbbae6a63356f91d3242c7ba2d17dc6c4bd7f"},
{file = "statsmodels-0.11.1-cp37-none-win_amd64.whl", hash = "sha256:434240abd14f4998ec6350473cd105e9977e930635ecf7e352d641d729dbc2a2"},
{file = "statsmodels-0.11.1-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:621f2ec00ff8a4749cef3c9cc11c12ac2ee549ecf3ccfde626b3f1461165f0e6"},
{file = "statsmodels-0.11.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:a4fcb03d2a5d0f37d0ecb38f6d9d10a3ab6f9e2e583c3be4d4615484d5d10e88"},
{file = "statsmodels-0.11.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:6243bc78bc805acee7690098fa749094895bb3c2dd0b7f7ac8d57f97fe2b1eb2"},
{file = "statsmodels-0.11.1-cp38-none-win32.whl", hash = "sha256:6371267d051b555898611913afa4a46144e9d29a234ef32c2e36e558e88a8de9"},
{file = "statsmodels-0.11.1-cp38-none-win_amd64.whl", hash = "sha256:b9b9cb6ced4f9b644cfd0b6a9d4a88e406c643dba4f2ad61e22d03ee48bc7731"},
{file = "statsmodels-0.11.1.tar.gz", hash = "sha256:5bde3fa0a35a91b45dba7cbc28270b5b649ff1d721c89290883f6e831672d5f0"},
]