This repository has been archived by the owner on Sep 13, 2021. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 0
/
pyproject.lock
148 lines (129 loc) · 12.4 KB
/
pyproject.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
[[package]]
category = "main"
description = "Composable style cycles"
name = "cycler"
optional = false
platform = "Cross platform (Linux,Mac OSX,Windows)"
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
platform = "*"
python-versions = "*"
version = "1.0.1"
[package.dependencies]
setuptools = "*"
[[package]]
category = "main"
description = "Python plotting package"
name = "matplotlib"
optional = false
platform = "any"
python-versions = "*"
version = "2.2.3"
[package.dependencies]
cycler = ">=0.10"
kiwisolver = ">=1.0.1"
numpy = ">=1.7.1"
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"
pytz = "*"
six = ">=1.10"
[[package]]
category = "main"
description = "NumPy: array processing for numbers, strings, records, and objects."
name = "numpy"
optional = false
platform = "Windows"
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
version = "1.15.1"
[[package]]
category = "main"
description = "Powerful data structures for data analysis, time series, and statistics"
name = "pandas"
optional = false
platform = "any"
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*"
version = "0.23.4"
[package.dependencies]
numpy = ">=1.9.0"
python-dateutil = ">=2.5.0"
pytz = ">=2011k"
[[package]]
category = "main"
description = "Python parsing module"
name = "pyparsing"
optional = false
platform = "UNKNOWN"
python-versions = "*"
version = "2.2.0"
[[package]]
category = "main"
description = "Extensions to the standard Python datetime module"
name = "python-dateutil"
optional = false
platform = "*"
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
version = "2.7.3"
[package.dependencies]
six = ">=1.5"
[[package]]
category = "main"
description = "World timezone definitions, modern and historical"
name = "pytz"
optional = false
platform = "Independent"
python-versions = "*"
version = "2018.5"
[[package]]
category = "main"
description = "SciPy: Scientific Library for Python"
name = "scipy"
optional = false
platform = "Windows"
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
version = "1.1.0"
[package.dependencies]
numpy = ">=1.8.2"
[[package]]
category = "main"
description = "seaborn: statistical data visualization"
name = "seaborn"
optional = false
platform = "*"
python-versions = "*"
version = "0.9.0"
[package.dependencies]
matplotlib = ">=1.4.3"
numpy = ">=1.9.3"
pandas = ">=0.15.2"
scipy = ">=0.14.0"
[[package]]
category = "main"
description = "Python 2 and 3 compatibility utilities"
name = "six"
optional = false
platform = "*"
python-versions = "*"
version = "1.11.0"
[metadata]
content-hash = "d71700e042eeb023ffd738f76908bd56fb2e54f7d164910949c02e9f31b8bb13"
platform = "*"
python-versions = "^3.4"
[metadata.hashes]
cycler = ["1d8a5ae1ff6c5cf9b93e8811e581232ad8920aeec647c37316ceac982b08cb2d", "cd7b2d1018258d7247a71425e9f26463dfb444d411c39569972f4ce586b0c9d8"]
kiwisolver = ["0ee4ed8b3ae8f5f712b0aa9ebd2858b5b232f1b9a96b0943dceb34df2a223bc3", "0f7f532f3c94e99545a29f4c3f05637f4d2713e7fd91b4dd8abfc18340b86cd5", "1a078f5dd7e99317098f0e0d490257fd0349d79363e8c923d5bb76428f318421", "1aa0b55a0eb1bd3fa82e704f44fb8f16e26702af1a073cc5030eea399e617b56", "2874060b91e131ceeff00574b7c2140749c9355817a4ed498e82a4ffa308ecbc", "379d97783ba8d2934d52221c833407f20ca287b36d949b4bba6c75274bcf6363", "3b791ddf2aefc56382aadc26ea5b352e86a2921e4e85c31c1f770f527eb06ce4", "4329008a167fac233e398e8a600d1b91539dc33c5a3eadee84c0d4b04d4494fa", "45813e0873bbb679334a161b28cb9606d9665e70561fd6caa8863e279b5e464b", "53a5b27e6b5717bdc0125338a822605084054c80f382051fb945d2c0e6899a20", "574f24b9805cb1c72d02b9f7749aa0cc0b81aa82571be5201aa1453190390ae5", "66f82819ff47fa67a11540da96966fb9245504b7f496034f534b81cacf333861", "79e5fe3ccd5144ae80777e12973027bd2f4f5e3ae8eb286cabe787bed9780138", "83410258eb886f3456714eea4d4304db3a1fc8624623fc3f38a487ab36c0f653", "8b6a7b596ce1d2a6d93c3562f1178ebd3b7bb445b3b0dd33b09f9255e312a965", "9576cb63897fbfa69df60f994082c3f4b8e6adb49cccb60efb2a80a208e6f996", "95a25d9f3449046ecbe9065be8f8380c03c56081bc5d41fe0fb964aaa30b2195", "a424f048bebc4476620e77f3e4d1f282920cef9bc376ba16d0b8fe97eec87cde", "aaec1cfd94f4f3e9a25e144d5b0ed1eb8a9596ec36d7318a504d813412563a85", "acb673eecbae089ea3be3dcf75bfe45fc8d4dcdc951e27d8691887963cf421c7", "b15bc8d2c2848a4a7c04f76c9b3dc3561e95d4dabc6b4f24bfabe5fd81a0b14f", "b1c240d565e977d80c0083404c01e4d59c5772c977fae2c483f100567f50847b", "c595693de998461bcd49b8d20568c8870b3209b8ea323b2a7b0ea86d85864694", "ce3be5d520b4d2c3e5eeb4cd2ef62b9b9ab8ac6b6fedbaa0e39cdb6f50644278", "e0f910f84b35c36a3513b96d816e6442ae138862257ae18a0019d2fc67b041dc", "ea36e19ac0a483eea239320aef0bd40702404ff8c7e42179a2d9d36c5afcb55c", "efabbcd4f406b532206b8801058c8bab9e79645b9880329253ae3322b7b02cd5", "f923406e6b32c86309261b8195e24e18b6a8801df0cfc7814ac44017bfcb3939"]
matplotlib = ["0ba8e3ec1b0feddc6b068fe70dc38dcf2917e301ad8d2b3f848c14ad463a4157", "10a48e33e64dbd95f0776ba162f379c5cc55301c2d155506e79ce0c26b52f2ce", "1376535fe731adbba55ab9e48896de226b7e89dbb55390c5fbd8f7161b7ae3be", "16f0f8ba22df1e2c9f06c87088de45742322fde282a93b5c744c0f969cf7932e", "1c6c999f2212858021329537f8e0f98f3f29086ec3683511dd1ecec84409f51d", "2316dc177fc7b3d8848b49365498de0c385b4c9bba511edddd24c34fbe3d37a4", "3398bfb533482bf21974cecf28224dd23784ad4e4848be582903f7a2436ec12e", "3477cb1e1061b34210acc43d20050be8444478ff50b8adfac5fe2b45fc97df01", "3cc06333b8264428d02231804e2e726b902e9161dc16f573183dee6cb7ef621f", "4259ea7cb2c238355ee13275eddd261d869cefbdeb18a65f35459589d6d17def", "4addcf93234b6122f530f90f485fd3d00d158911fbc1ed24db3fa66cd49fe565", "50c0e24bcbce9c54346f4a2f4e97b0ed111f0413ac3fe9954061ae1c8aa7021f", "62ed7597d9e54db6e133420d779c642503c25eba390e1178d85dfb2ba0d05948", "69f6d51e41a17f6a5f70c56bb10b8ded9f299609204495a7fa2782a3a755ffc5", "6d232e49b74e3d2db22c63c25a9a0166d965e87e2b057f795487f1f244b61d9d", "7355bf757ecacd5f0ac9dd9523c8e1a1103faadf8d33c22664178e17533f8ce5", "886b1045c5105631f10c1cbc999f910e44d33af3e9c7efd68c2123efc06ab636", "9e1f353edd7fc7e5e9101abd5bc0201946f77a1b59e0da49095086c03db856ed", "b3a343dfcbe296dbe0f26c731beee72a792ff948407e6979524298ae7bc3234e", "d93675af09ca497a25f4f8d62f3313cf0f21e45427a87487049fe84898b99909", "e2409ef9d37804dfb566f39c962e6ed70f281ff516b8131b3e6b4e6442711ff1", "f8b653b0f89938ba72e92ab080c2f3aa24c1b72e2f61add22880cd1b9a6e3cdd"]
numpy = ["1c362ad12dd09a43b348bb28dd2295dd9cdf77f41f0f45965e04ba97f525b864", "2156a06bd407918df4ac0122df6497a9c137432118f585e5b17d543e593d1587", "24e4149c38489b51fc774b1e1faa9103e82f73344d7a00ba66f6845ab4769f3f", "340ec1697d9bb3a9c464028af7a54245298502e91178bddb4c37626d36e197b7", "35db8d419345caa4eeaa65cd63f34a15208acd87530a30f0bc25fc84f55c8c80", "361370e9b7f5e44c41eee29f2bb5cb3b755abb4b038bce6d6cbe08db7ff9cb74", "36e8dcd1813ca92ce7e4299120cee6c03adad33d89b54862c1b1a100443ac399", "378378973546ecc1dfaf9e24c160d683dd04df871ecd2dcc86ce658ca20f92c0", "419e6faee16097124ee627ed31572c7e80a1070efa25260b78097cca240e219a", "4287104c24e6a09b9b418761a1e7b1bbde65105f110690ca46a23600a3c606b8", "549f3e9778b148a47f4fb4682955ed88057eb627c9fe5467f33507c536deda9d", "5e359e9c531075220785603e5966eef20ccae9b3b6b8a06fdfb66c084361ce92", "5ee7f3dbbdba0da75dec7e94bd7a2b10fe57a83e1b38e678200a6ad8e7b14fdc", "62d55e96ec7b117d3d5e618c15efcf769e70a6effaee5842857b64fb4883887a", "719b6789acb2bc86ea9b33a701d7c43dc2fc56d95107fd3c5b0a8230164d4dfb", "7a70f2b60d48828cba94a54a8776b61a9c2657a803d47f5785f8062e3a9c7c55", "7b9e37f194f8bcdca8e9e6af92e2cbad79e360542effc2dd6b98d63955d8d8a3", "83b8fc18261b70f45bece2d392537c93dc81eb6c539a16c9ac994c47fc79f09a", "9473ad28375710ab18378e72b59422399b27e957e9339c413bf00793b4b12df0", "95b085b253080e5d09f7826f5e27dce067bae813a132023a77b739614a29de6e", "98b86c62c08c2e5dc98a9c856d4a95329d11b1c6058cb9b5191d5ea6891acd09", "a3bd01d6d3ed3d7c06d7f9979ba5d68281f15383fafd53b81aa44b9191047cf8", "c81a6afc1d2531a9ada50b58f8c36197f8418ef3d0611d4c1d7af93fdcda764f", "ce75ed495a746e3e78cfa22a77096b3bff2eda995616cb7a542047f233091268", "dae8618c0bcbfcf6cf91350f8abcdd84158323711566a8c5892b5c7f832af76f", "df0b02c6705c5d1c25cc35c7b5d6b6f9b3b30833f9d178843397ae55ecc2eebb", "e3660744cda0d94b90141cdd0db9308b958a372cfeee8d7188fdf5ad9108ea82", "f2362d0ca3e16c37782c1054d7972b8ad2729169567e3f0f4e5dd3cdf85f188e"]
pandas = ["11975fad9edbdb55f1a560d96f91830e83e29bed6ad5ebf506abda09818eaf60", "12e13d127ca1b585dd6f6840d3fe3fa6e46c36a6afe2dbc5cb0b57032c902e31", "1c87fcb201e1e06f66e23a61a5fea9eeebfe7204a66d99df24600e3f05168051", "242e9900de758e137304ad4b5663c2eff0d798c2c3b891250bd0bd97144579da", "26c903d0ae1542890cb9abadb4adcb18f356b14c2df46e4ff657ae640e3ac9e7", "2e1e88f9d3e5f107b65b59cd29f141995597b035d17cc5537e58142038942e1a", "31b7a48b344c14691a8e92765d4023f88902ba3e96e2e4d0364d3453cdfd50db", "4fd07a932b4352f8a8973761ab4e84f965bf81cc750fb38e04f01088ab901cb8", "5b24ca47acf69222e82530e89111dd9d14f9b970ab2cd3a1c2c78f0c4fbba4f4", "647b3b916cc8f6aeba240c8171be3ab799c3c1b2ea179a3be0bd2712c4237553", "66b060946046ca27c0e03e9bec9bba3e0b918bafff84c425ca2cc2e157ce121e", "6efa9fa6e1434141df8872d0fa4226fc301b17aacf37429193f9d70b426ea28f", "be4715c9d8367e51dbe6bc6d05e205b1ae234f0dc5465931014aa1c4af44c1ba", "bea90da782d8e945fccfc958585210d23de374fa9294a9481ed2abcef637ebfc", "d785fc08d6f4207437e900ffead930a61e634c5e4f980ba6d3dc03c9581748c7", "de9559287c4fe8da56e8c3878d2374abc19d1ba2b807bfa7553e912a8e5ba87c", "f4f98b190bb918ac0bc0e3dd2ab74ff3573da9f43106f6dba6385406912ec00f", "f71f1a7e2d03758f6e957896ed696254e2bc83110ddbc6942018f1a232dd9dad", "fb944c8f0b0ab5c1f7846c686bc4cdf8cde7224655c12edcd59d5212cd57bec0"]
pyparsing = ["0832bcf47acd283788593e7a0f542407bd9550a55a8a8435214a1960e04bcb04", "281683241b25fe9b80ec9d66017485f6deff1af5cde372469134b56ca8447a07", "8f1e18d3fd36c6795bb7e02a39fd05c611ffc2596c1e0d995d34d67630426c18", "9e8143a3e15c13713506886badd96ca4b579a87fbdf49e550dbfc057d6cb218e", "b8b3117ed9bdf45e14dcc89345ce638ec7e0e29b2b579fa1ecf32ce45ebac8a5", "e4d45427c6e20a59bf4f88c639dcc03ce30d193112047f94012102f235853a58", "fee43f17a9c4087e7ed1605bd6df994c6173c1e977d7ade7b651292fab2bd010"]
python-dateutil = ["1adb80e7a782c12e52ef9a8182bebeb73f1d7e24e374397af06fb4956c8dc5c0", "e27001de32f627c22380a688bcc43ce83504a7bc5da472209b4c70f02829f0b8"]
pytz = ["a061aa0a9e06881eb8b3b2b43f05b9439d6583c206d0a6c340ff72a7b6669053", "ffb9ef1de172603304d9d2819af6f5ece76f2e85ec10692a524dd876e72bf277"]
scipy = ["0611ee97296265af4a21164a5323f8c1b4e8e15c582d3dfa7610825900136bb7", "08237eda23fd8e4e54838258b124f1cd141379a5f281b0a234ca99b38918c07a", "0e645dbfc03f279e1946cf07c9c754c2a1859cb4a41c5f70b25f6b3a586b6dbd", "0e9bb7efe5f051ea7212555b290e784b82f21ffd0f655405ac4f87e288b730b3", "108c16640849e5827e7d51023efb3bd79244098c3f21e4897a1007720cb7ce37", "340ef70f5b0f4e2b4b43c8c8061165911bc6b2ad16f8de85d9774545e2c47463", "3ad73dfc6f82e494195144bd3a129c7241e761179b7cb5c07b9a0ede99c686f3", "3b243c77a822cd034dad53058d7c2abf80062aa6f4a32e9799c95d6391558631", "404a00314e85eca9d46b80929571b938e97a143b4f2ddc2b2b3c91a4c4ead9c5", "423b3ff76957d29d1cce1bc0d62ebaf9a3fdfaf62344e3fdec14619bb7b5ad3a", "42d9149a2fff7affdd352d157fa5717033767857c11bd55aa4a519a44343dfef", "625f25a6b7d795e8830cb70439453c9f163e6870e710ec99eba5722775b318f3", "698c6409da58686f2df3d6f815491fd5b4c2de6817a45379517c92366eea208f", "729f8f8363d32cebcb946de278324ab43d28096f36593be6281ca1ee86ce6559", "8190770146a4c8ed5d330d5b5ad1c76251c63349d25c96b3094875b930c44692", "878352408424dffaa695ffedf2f9f92844e116686923ed9aa8626fc30d32cfd1", "8b984f0821577d889f3c7ca8445564175fb4ac7c7f9659b7c60bef95b2b70e76", "8f841bbc21d3dad2111a94c490fb0a591b8612ffea86b8e5571746ae76a3deac", "c22b27371b3866c92796e5d7907e914f0e58a36d3222c5d436ddd3f0e354227a", "d0cdd5658b49a722783b8b4f61a6f1f9c75042d0e29a30ccb6cacc9b25f6d9e2", "d40dc7f494b06dcee0d303e51a00451b2da6119acbeaccf8369f2d29e28917ac", "d8491d4784aceb1f100ddb8e31239c54e4afab8d607928a9f7ef2469ec35ae01", "dfc5080c38dde3f43d8fbb9c0539a7839683475226cf83e4b24363b227dfe552", "e24e22c8d98d3c704bb3410bce9b69e122a8de487ad3dbfe9985d154e5c03a40", "e7a01e53163818d56eabddcafdc2090e9daba178aad05516b20c6591c4811020", "ee677635393414930541a096fc8e61634304bb0153e4e02b75685b11eba14cae", "f0521af1b722265d824d6ad055acfe9bd3341765735c44b5a4d0069e189a0f40", "f25c281f12c0da726c6ed00535ca5d1622ec755c30a3f8eafef26cf43fede694"]
seaborn = ["42e627b24e849c2d3bbfd059e00005f6afbc4a76e4895baf44ae23fe8a4b09a5", "76c83f794ca320fb6b23a7c6192d5e185a5fcf4758966a0c0a54baee46d41e2f"]
six = ["70e8a77beed4562e7f14fe23a786b54f6296e34344c23bc42f07b15018ff98e9", "832dc0e10feb1aa2c68dcc57dbb658f1c7e65b9b61af69048abc87a2db00a0eb"]