-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathpoetry.lock
110 lines (102 loc) · 9.01 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
[[package]]
name = "numpy"
version = "1.23.3"
description = "NumPy is the fundamental package for array computing with Python."
category = "main"
optional = false
python-versions = ">=3.8"
[[package]]
name = "plotly"
version = "5.10.0"
description = "An open-source, interactive data visualization library for Python"
category = "main"
optional = false
python-versions = ">=3.6"
[package.dependencies]
tenacity = ">=6.2.0"
[[package]]
name = "scipy"
version = "1.9.1"
description = "SciPy: Scientific Library for Python"
category = "main"
optional = false
python-versions = ">=3.8,<3.12"
[package.dependencies]
numpy = ">=1.18.5,<1.25.0"
[[package]]
name = "tenacity"
version = "8.0.1"
description = "Retry code until it succeeds"
category = "main"
optional = false
python-versions = ">=3.6"
[package.extras]
doc = ["reno", "sphinx", "tornado (>=4.5)"]
[metadata]
lock-version = "1.1"
python-versions = ">=3.10,<3.12"
content-hash = "4311c1d4ef3c6bed668b18989667e6acaf8375490931366233372b3b288647e6"
[metadata.files]
numpy = [
{file = "numpy-1.23.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c9f707b5bb73bf277d812ded9896f9512a43edff72712f31667d0a8c2f8e71ee"},
{file = "numpy-1.23.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ffcf105ecdd9396e05a8e58e81faaaf34d3f9875f137c7372450baa5d77c9a54"},
{file = "numpy-1.23.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ea3f98a0ffce3f8f57675eb9119f3f4edb81888b6874bc1953f91e0b1d4f440"},
{file = "numpy-1.23.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:004f0efcb2fe1c0bd6ae1fcfc69cc8b6bf2407e0f18be308612007a0762b4089"},
{file = "numpy-1.23.3-cp310-cp310-win32.whl", hash = "sha256:98dcbc02e39b1658dc4b4508442a560fe3ca5ca0d989f0df062534e5ca3a5c1a"},
{file = "numpy-1.23.3-cp310-cp310-win_amd64.whl", hash = "sha256:39a664e3d26ea854211867d20ebcc8023257c1800ae89773cbba9f9e97bae036"},
{file = "numpy-1.23.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1f27b5322ac4067e67c8f9378b41c746d8feac8bdd0e0ffede5324667b8a075c"},
{file = "numpy-1.23.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2ad3ec9a748a8943e6eb4358201f7e1c12ede35f510b1a2221b70af4bb64295c"},
{file = "numpy-1.23.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bdc9febce3e68b697d931941b263c59e0c74e8f18861f4064c1f712562903411"},
{file = "numpy-1.23.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:301c00cf5e60e08e04d842fc47df641d4a181e651c7135c50dc2762ffe293dbd"},
{file = "numpy-1.23.3-cp311-cp311-win32.whl", hash = "sha256:7cd1328e5bdf0dee621912f5833648e2daca72e3839ec1d6695e91089625f0b4"},
{file = "numpy-1.23.3-cp311-cp311-win_amd64.whl", hash = "sha256:8355fc10fd33a5a70981a5b8a0de51d10af3688d7a9e4a34fcc8fa0d7467bb7f"},
{file = "numpy-1.23.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bc6e8da415f359b578b00bcfb1d08411c96e9a97f9e6c7adada554a0812a6cc6"},
{file = "numpy-1.23.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:22d43376ee0acd547f3149b9ec12eec2f0ca4a6ab2f61753c5b29bb3e795ac4d"},
{file = "numpy-1.23.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a64403f634e5ffdcd85e0b12c08f04b3080d3e840aef118721021f9b48fc1460"},
{file = "numpy-1.23.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:efd9d3abe5774404becdb0748178b48a218f1d8c44e0375475732211ea47c67e"},
{file = "numpy-1.23.3-cp38-cp38-win32.whl", hash = "sha256:f8c02ec3c4c4fcb718fdf89a6c6f709b14949408e8cf2a2be5bfa9c49548fd85"},
{file = "numpy-1.23.3-cp38-cp38-win_amd64.whl", hash = "sha256:e868b0389c5ccfc092031a861d4e158ea164d8b7fdbb10e3b5689b4fc6498df6"},
{file = "numpy-1.23.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:09f6b7bdffe57fc61d869a22f506049825d707b288039d30f26a0d0d8ea05164"},
{file = "numpy-1.23.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8c79d7cf86d049d0c5089231a5bcd31edb03555bd93d81a16870aa98c6cfb79d"},
{file = "numpy-1.23.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e5d5420053bbb3dd64c30e58f9363d7a9c27444c3648e61460c1237f9ec3fa14"},
{file = "numpy-1.23.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d5422d6a1ea9b15577a9432e26608c73a78faf0b9039437b075cf322c92e98e7"},
{file = "numpy-1.23.3-cp39-cp39-win32.whl", hash = "sha256:c1ba66c48b19cc9c2975c0d354f24058888cdc674bebadceb3cdc9ec403fb5d1"},
{file = "numpy-1.23.3-cp39-cp39-win_amd64.whl", hash = "sha256:78a63d2df1d947bd9d1b11d35564c2f9e4b57898aae4626638056ec1a231c40c"},
{file = "numpy-1.23.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:17c0e467ade9bda685d5ac7f5fa729d8d3e76b23195471adae2d6a6941bd2c18"},
{file = "numpy-1.23.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:91b8d6768a75247026e951dce3b2aac79dc7e78622fc148329135ba189813584"},
{file = "numpy-1.23.3-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:94c15ca4e52671a59219146ff584488907b1f9b3fc232622b47e2cf832e94fb8"},
{file = "numpy-1.23.3.tar.gz", hash = "sha256:51bf49c0cd1d52be0a240aa66f3458afc4b95d8993d2d04f0d91fa60c10af6cd"},
]
plotly = [
{file = "plotly-5.10.0-py2.py3-none-any.whl", hash = "sha256:989b13825cc974390aa0169479485d9257d37848a47bc63957251f8e1a7046ba"},
{file = "plotly-5.10.0.tar.gz", hash = "sha256:4d36d9859b7a153b273562deeed8c292587a472eb1fd57cd4158ec89d9defadb"},
]
scipy = [
{file = "scipy-1.9.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c61b4a91a702e8e04aeb0bfc40460e1f17a640977c04dda8757efb0199c75332"},
{file = "scipy-1.9.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d79da472015d0120ba9b357b28a99146cd6c17b9609403164b1a8ed149b4dfc8"},
{file = "scipy-1.9.1-cp310-cp310-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:825951b88f56765aeb6e5e38ac9d7d47407cfaaeb008d40aa1b45a2d7ea2731e"},
{file = "scipy-1.9.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f950a04b33e17b38ff561d5a0951caf3f5b47caa841edd772ffb7959f20a6af0"},
{file = "scipy-1.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8cc81ac25659fec73599ccc52c989670e5ccd8974cf34bacd7b54a8d809aff1a"},
{file = "scipy-1.9.1-cp310-cp310-win_amd64.whl", hash = "sha256:8d3faa40ac16c6357aaf7ea50394ea6f1e8e99d75e927a51102b1943b311b4d9"},
{file = "scipy-1.9.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7a412c476a91b080e456229e413792bbb5d6202865dae963d1e6e28c2bb58691"},
{file = "scipy-1.9.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:eb954f5aca4d26f468bbebcdc5448348eb287f7bea536c6306f62ea062f63d9a"},
{file = "scipy-1.9.1-cp38-cp38-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:3c6f5d1d4b9a5e4fe5e14f26ffc9444fc59473bbf8d45dc4a9a15283b7063a72"},
{file = "scipy-1.9.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:bc4e2c77d4cd015d739e75e74ebbafed59ba8497a7ed0fd400231ed7683497c4"},
{file = "scipy-1.9.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0419485dbcd0ed78c0d5bf234c5dd63e86065b39b4d669e45810d42199d49521"},
{file = "scipy-1.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:34441dfbee5b002f9e15285014fd56e5e3372493c3e64ae297bae2c4b9659f5a"},
{file = "scipy-1.9.1-cp38-cp38-win32.whl", hash = "sha256:b97b479f39c7e4aaf807efd0424dec74bbb379108f7d22cf09323086afcd312c"},
{file = "scipy-1.9.1-cp38-cp38-win_amd64.whl", hash = "sha256:e8fe305d9d67a81255e06203454729405706907dccbdfcc330b7b3482a6c371d"},
{file = "scipy-1.9.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:39ab9240cd215a9349c85ab908dda6d732f7d3b4b192fa05780812495536acc4"},
{file = "scipy-1.9.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:71487c503e036740635f18324f62a11f283a632ace9d35933b2b0a04fd898c98"},
{file = "scipy-1.9.1-cp39-cp39-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:3bc1ab68b9a096f368ba06c3a5e1d1d50957a86665fc929c4332d21355e7e8f4"},
{file = "scipy-1.9.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:f7c39f7dbb57cce00c108d06d731f3b0e2a4d3a95c66d96bce697684876ce4d4"},
{file = "scipy-1.9.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:47d1a95bd9d37302afcfe1b84c8011377c4f81e33649c5a5785db9ab827a6ade"},
{file = "scipy-1.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:96d7cf7b25c9f23c59a766385f6370dab0659741699ecc7a451f9b94604938ce"},
{file = "scipy-1.9.1-cp39-cp39-win32.whl", hash = "sha256:09412eb7fb60b8f00b328037fd814d25d261066ebc43a1e339cdce4f7502877e"},
{file = "scipy-1.9.1-cp39-cp39-win_amd64.whl", hash = "sha256:90c805f30c46cf60f1e76e947574f02954d25e3bb1e97aa8a07bc53aa31cf7d1"},
{file = "scipy-1.9.1.tar.gz", hash = "sha256:26d28c468900e6d5fdb37d2812ab46db0ccd22c63baa095057871faa3a498bc9"},
]
tenacity = [
{file = "tenacity-8.0.1-py3-none-any.whl", hash = "sha256:f78f4ea81b0fabc06728c11dc2a8c01277bfc5181b321a4770471902e3eb844a"},
{file = "tenacity-8.0.1.tar.gz", hash = "sha256:43242a20e3e73291a28bcbcacfd6e000b02d3857a9a9fff56b297a27afdc932f"},
]