sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
01972cb953fcc6c36251825fff9cb21d73b7874d266fbbc766ca2d60f7762720 | Python | 24 | 1 | __version__ = '0.6.dev'
|
0f69eb405cd4faa3bcef718db252c5399f518be95dd8e8e49a29fff8674645d8 | Python | 24 | 1 | # Tests for training an
|
5f94861170ed917dd81344a0e85bc5e371e69b8446c2e496bcc01532523105b2 | Python | 24 | 1 | from PCA.src import pca
|
6552f790237ea95e53849539f2268cbc929222467b91eee588bb4bc08e130876 | Python | 24 | 1 | """tests for ranking"""
|
b3f3c19384b0bb2dd5a9f87b158cd3a4cdee18f6acf56c2c149bf080cd9b6598 | Python | 24 | 2 | __author__ = 'quentin'
|
f489b3b72db95fe8c422de4393e0045eba8ab3906dd7c6f0a5d44e53bfb5e00f | Python | 24 | 1 | """Format utilities."""
|
03d0326d8e86cde6ce194606253443c6a2f2d3d4b6d6959451d25cfdbf96c791 | Python | 25 | 1 | from .denoise import pca
|
4c798088461008b9cc3547aa09fc2ea0dab4825c6202fe7bfef197c748c070f1 | Python | 25 | 2 | from .geometry import *
|
666476d1666d58ea9b0296606f89d24c61fb98e2f9b3313f3344eebd1ea2f734 | Python | 25 | 1 | __version__ = '0.13.dev'
|
81cd74efd71b165e4f1e7110d516be55f71e125344938598a09290e3ca714324 | Python | 25 | 1 | from .SimpleITK import *
|
f652ab3d7e019d225b2be5650e2f53b260200f0a85dc7e36dca849d6ed546a8b | Python | 25 | 1 | """tests for topology"""
|
4240d0b5325178aecb769d18e1fe7eb5b4dd729db6e2bd4017b8d4dba6a54a04 | Python | 26 | 1 | """tests for embedding"""
|
9761c70e20cba684d0970ce1d66b42ca9e9b4bc47105d24ad833f514689024c6 | Python | 26 | 1 | """tests for hierarchy"""
|
ac2cf6d282c3736bb79bb922fad782186a59b42640e73928d22745fb8f14261b | Python | 26 | 1 | """Reports sub-module."""
|
b85d004b5e718adf54268c5a083dfcdf3af70e15eb81df65d960c3c6600f8244 | Python | 26 | 1 | """Results sub-module."""
|
053f2408230dfe9bfbce784847919243f5f15396eb9ab0980f09b8409351095d | Python | 27 | 1 | """tests for regression"""
|
4dad17298ee992546f1f2518dc9968c370365784446b981e646ef8c4fcfcd137 | Python | 27 | 1 | """tests for clustering"""
|
5a97bf41bc42c87267fa1ed27d647e2f2560fda4a843e7fc8a2e7388ba5bca71 | Python | 27 | 1 | from .adjust import adjust
|
5b48275ab1fdabd567ec978373eb4d88a1916f66baf05be2df4c16cec5d2991c | Python | 27 | 1 | from .core import BaseTask
|
50dfb73e9eeefe3443099df9cb65c8b3b8aba22f3f2e036d4c3c3daa5b0f965c | Python | 28 | 1 | from .segmentation import *
|
55717377407f349f1fe1e078f182c7c69e7c971e01e6b6e2958e6d1c9e444a37 | Python | 28 | 1 | from .digitization import *
|
55742042286ade0103371d0ca5c6f809460b88e22c695eab873ee5df91f0aa15 | Python | 28 | 1 | from .dataset_pose import *
|
a3c1363018f96c5d75bfcd8bc41805233973e822c867bef6f0fd0addbeb73c6c | Python | 28 | 1 | """GluonCV-Torch engine."""
|
fc23808dc8bb449fd7b410c6c32e5a3a067d74f4901f78fb77aa8c94b1ece79a | Python | 28 | 1 | """tests for path module"""
|
2cbbe205ab9d0594eb50ccc32abb84d295384b2a5653d8018e6717e0167e6aeb | Python | 29 | 1 | __version__ = '2.0.0rc8-dev0' |
5a4e7bd08a6bdf8fcb1ebbd97ad5c2d48856e3d1ccd82fab8168154c89898c09 | Python | 29 | 1 | from .preprocessing import *
|
19302095896c8a558121771531b9e4556baebc7d5f594efc256b2318a604b8a2 | Python | 30 | 1 | """BDD100K python toolkit."""
|
1e67e8314d816e08a638fa10589a1a966bfda04ed9a58905c809a3b6e28ebc54 | Python | 30 | 1 | from pyoperant.errors import * |
6e0213acbfc000f06debdc3748714b69bfa71c86d451bf0921158819450019ac | Python | 30 | 1 | from . import junglenet, unet
|
865233234baf00eec0192bfb4ed1c0821cd62f8ba02913b138a0bcbb20423648 | Python | 30 | 1 | from ._utils import make_dirs
|
c8e56ba940fd52e23f1dd62ea913f93d2ed0852fa93b8444fcbb393cb8880bfc | Python | 30 | 1 | """tests for visualization"""
|
ec71d50ed3b20c3896df99d871d2b2081c248a0679b94bd47575a9bfefb3ba0e | Python | 30 | 1 | """Testing code for xcp_d."""
|
2df2ff1b31bec0fd15b2fdca8b4f1b5345f8526848ca16d61e70c167c03888c1 | Python | 31 | 1 | from .grud import GRUD, GRUDpp
|
b32f6e4623e1606da2eeea8cdcfd3bf9551fe1471910778ea07f41bca0a9537b | Python | 31 | 1 | """tests for classification"""
|
2963dd1bcd787485e08ba281b76ae28d355eb8075d78682e6de3b52b400a43c2 | Python | 32 | 1 | from plotly.graph_objs import *
|
683bd4430195b86928db1952adf2d4e1bf35278f16516e17f55d01daca6ffa45 | Python | 32 | 1 | from .openneuro import makedata
|
d39b0af08861f468b6feea1b3c2fc4acc544e0a3add3beb5373cd5fef261d795 | Python | 32 | 1 | """tests for link prediction"""
|
21dd90e66b08619be398bed5470ecc078363973e7f97d8a51c73feb8d418337e | Python | 33 | 1 | from ._evolution import evolution |
3daece91e8f031261f8271ec27954247e286309ee1d7043c96ac62201d8b2301 | Python | 33 | 1 | from . import all, anthroprotect
|
559f5662a46c6b10ab1cb186649626ebcf7e53703ba625f78061b7a3325ddb53 | Python | 33 | 1 | from .src import bm3d, bm3d_CEST
|
5b17463531aa480ff904c78aec2cb221a0ad1d8e869a7cab49e72210c5183bc1 | Python | 33 | 1 | from .torchsummary import summary |
7e03b7c6d10356a766e15745f62d21a2b97c65f9a0e70f3e6cc8d6adb54a540c | Python | 33 | 3 | import os
__version__ = "2.0.2"
|
89f8064649b9ff8f32b531afd82b087468910320f7ef5442f0a06f67acb130c4 | Python | 33 | 2 | ## version
__version__ = '2.1.0'
|
fcd017a615c99f3de4686bd1d1047e9d805bb713940471f6a64a97bcdf209cc6 | Python | 33 | 1 | """Tools for handle raw data."""
|
0018b0f9c40dadd2e5fbc63be678492f0a9a4fcea95748f5f2c5ac067b34c8ed | Python | 34 | 2 | # Generate template
# Call main.py |
6348a6196ecc6ec5faead2030d0994edbcfcd6090bef6c3c9b003b9ddf74a116 | Python | 34 | 1 | from plotly.graph_objs import Box
|
77cd8cced6becc5930c2eac0f0c16b85f09c25ce572784d606a983a0fbab17ba | Python | 34 | 2 | import tensorqtl
tensorqtl.main()
|
ac69cfa6f7f521c7ffccf3b0b7564b611efe70bc205b4a888c51c470aa89954a | Python | 34 | 1 | from dicom.read import load_stack
|
e1301f1e272a541b6d6e1fe001ba21ce2a98b2e5e87b8e144fa823da52058b38 | Python | 34 | 1 | from plotly.graph_objs import Pie
|
e3f690913ee855afc87d43e925364ca1510da5d3a82ab29d3bfbce8ae2c9334c | Python | 34 | 1 | from plotly.graph_objs import Bar
|
37cf33215c1d5c53add8cea380cb16c45d400a1930c60c33320f0773bdc42942 | Python | 35 | 4 | """ m2p
"""
__version__ = "0.1.1"
|
390379c956a0ee3b3494c475437261eb6c61a34299c3fe84b9df48e8501d24d1 | Python | 35 | 1 | from scDGD.models.models import DGD |
5384bfdb2df380b6557cc7a71d16891415bccaa87699406e236f752c6415389f | Python | 35 | 1 | from __future__ import annotations
|
57989b441a7acf38678d24347726a0a8d7c64f061e7943f20d6f76a3cb27d90c | Python | 35 | 1 | from .config import Config, config
|
5b3c6ded6e2fd381be048acff3fbc8f3cb57bf4a5f5f749648409209741bc8d6 | Python | 35 | 1 | """Visualization tools and api."""
|
7c51afe146528b8a2fd564fa4f48f305d0124e97a122022ea2883760f2288908 | Python | 35 | 1 | from plotly.graph_objs import Ohlc
|
800c7f0405a429ff0f5e1f5f6bef8cbe9bcd65f2f2f300e041e99af8169146fd | Python | 35 | 1 | from plotly.graph_objs import Cone
|
bfe3b0b2758a49a2ee0fb34659f05ef136e2825700481f1191a9336346b579d3 | Python | 35 | 1 | from .denoise import nlm, nlm_CEST
|
c2464328408040fff11e5fe0319a3dcd9604389ab35ba916e5df3714d96a3fb6 | Python | 35 | 1 | from .cellograph import cellograph
|
c90cc393a4b4057b873d8d790d506247df4aaf484923bf56c35ecfa09fcb1b0c | Python | 35 | 1 | from .app import AppColab, AppLocal |
e3e73ce76df8febd942fd53afc273c36707a5063821c5420dde83d587f269f0c | Python | 35 | 1 | from . import tutils, tgeo, ttorch
|
01c75c169bdb043622f96e9b61ca8c35ff334f67649eb3f8040037e8993a52cc | Python | 36 | 1 | from plotly.graph_objs import Table
|
1b93135e7792ef307fd033c59807995d5b052f2641a35c820c105e2fdad08e57 | Python | 36 | 1 | """Evaluate functions and tools."""
|
250d156c3edd4a25cbabe051da92ea1c93cb2c72b455b73e88dc067f758f8ba6 | Python | 36 | 1 | from plotly.graph_objs import Image
|
581cf305e8c1c4ee5ecf09870df7f58179771abf7efca7fa4c6fa4ba38d76485 | Python | 36 | 13 | # -*- coding: utf-8 -*-
|
62418aac18f1be985e225a5551c32924ed8cd8cf5f558a900850b608a3f432a7 | Python | 36 | 1 | from plotly.graph_objs import Splom
|
c1d5a162364e71546a8a8b76eb7fba0381582b8546ad14189f6431e647b7a547 | Python | 36 | 1 | from hello import app # noqa: F401
|
f1117b3f44d3ae4e8edeb517868cf00d16c5c65fb42b1818d0e14ab22f6036e4 | Python | 36 | 1 | """Datasets from RecordIO files."""
|
02d09b252fa8f20f29a90f1a5bc2657ace03aa8902fdc55e4242393150a86e1e | Python | 37 | 1 | from plotly.graph_objs import Layout
|
202b836d1333336a92e484e417072182e85e2ea1566da694577878a477570ded | Python | 37 | 1 | from .denoise import bm3d, bm3d_CEST
|
2118dc5669319c48029ad2a79ade6332339173bd8920862e2097d4aabd7d1bb0 | Python | 37 | 1 | """Reusable test fixture modules."""
|
22e781c42b1c14828c8ece9768d33c88d3b847e13ad1a936378be7610539a584 | Python | 37 | 1 | from plotly.graph_objs import Volume
|
2931fd4c35b6e0bf5451fe529a1c1ac526a5bf939435ed079c4dc83f8b6bba5c | Python | 37 | 1 | from plotly.graph_objs import Funnel
|
2dc59901b56b45a7c503b2a3328dd0127f34a68ec8dd88c9e3951525d4eab582 | Python | 37 | 1 | """Unit test package for stlearn."""
|
306d88ca99abeec7ec230eba784f365a591398192fb7a5eaacf4930c58831d18 | Python | 37 | 1 | from ._nmodl.symtab import * # noqa
|
457bb918b49a25896ed648d474c8ba807284e5b61675ab3a8bf187dad7f5c5a6 | Python | 37 | 1 | from plotly.graph_objs import Icicle
|
4a148e378625cfcab674dd8183dea693b7e7d84df03d78926e115b44ff01980e | Python | 37 | 1 | from plotly.graph_objs import Sankey
|
91bda05e457ff348aaba50fba47a97594317bba0184c1f2a4382b582f8a8bbc5 | Python | 37 | 1 | from plotly.graph_objs import Violin
|
9729b8d40a6bade4ec779b222a1c908d6862b943c2b1bdd4c42416ae0eecc35a | Python | 37 | 1 | from plotly.graph_objs import Mesh3d
|
9f0484809b3a1d7285fcb6f95491edf35294eeedf12b26ef4678187d9e5d3a12 | Python | 37 | 1 | from .opto_stim import optostim_times |
c926602bf4025d40d81a2ab486b9c65dd9daf2e1f7e2208dedc577bb602e2569 | Python | 37 | 1 | from plotly.graph_objs import Carpet
|
d116f26642b2a4ead514f0bec3ca533e1f204ffd7941d83226ef27f5d3240227 | Python | 37 | 1 | from plotly.graph_objs import Quiver
|
182a7a0138b83edbe16cd7807f2de450e5e7bb595f2a54110bc41a42988d9e73 | Python | 38 | 1 | # File will be used in future versions |
2cedbddf22ff27305d73c9e9b8b11ce64e99d19af8e70cc0b859dc51b085d33d | Python | 38 | 2 | """ tns version """
VERSION = "2.2.7"
|
37218db3542ebd0fe57b4cc7e72ad663ba6c4fdeb06f60687c10e7c9077f8424 | Python | 38 | 1 | from plotly.graph_objs import Heatmap
|
5b085542e6f391545e6136f27f7d96f59f60404fe702e86fd52aca6b0b641d55 | Python | 38 | 1 | from ._nmodl.visitor import * # noqa
|
5d5520d76c8bd4ec60583ce5360086910199a39d7e03ca170514b8562afbf315 | Python | 38 | 4 | #!/usr/bin/env python
DEBUG = False
|
8903071223b92c18057792353a1ba842dfa9d7a5fa656a8031e0e6cd173e6c69 | Python | 38 | 1 | """Common functions and utilities."""
|
93dd4b43441108aba87de567b4c8b4b3b82114f5bac8641c9651b266f691b527 | Python | 38 | 1 | from plotly.graph_objs import Contour
|
95d08ce94aac7456a453cb7db81cb9149f1ca546e0f70d722b92f749c8b1875e | Python | 38 | 1 | """Unit test package for stringdb."""
|
99a77f14f6c0e3b39dad05e06a73bb57a1644287e2f53b439c83b18cff7c3fca | Python | 38 | 1 | """Unit tests for scanner modules."""
|
b0c5d1b1115b91cad7cbb97fa3390ac007f3de6ca1697009400a6fc86381fc80 | Python | 38 | 1 | from plotly.graph_objs import Scatter
|
b3db458820e311ea9eae95058197ad2042612673ec518957679ce77851f89c85 | Python | 38 | 1 | from plotly.graph_objs import Surface
|
b7a78f8e81383c8cf8376cc1d8a8892480af25a6291282386e3355e8d78aabc7 | Python | 38 | 1 | from plotly.graph_objs import Parcats
|
bc391e00a7f1d51b3b7fdc915c3362247b80b6352ddee0d9df25c3a6097b9a26 | Python | 38 | 1 | from plotly.graph_objs import Treemap
|
e08ac9f38117ddbd996d9baa57d425bcf1173c26d103727345a4cf8ebfacbe10 | Python | 38 | 3 | def BEAN():
'Coming soon'
pass |
082eb3fdbc26db11cc20ea4d44f088f23ec7df0cf242506976a06610f74f1f5f | Python | 39 | 1 | from ._perturb import tile_pattern_seqs |
21dde269bb504ba98e3e092a381dabfecb598855a3780b273b0364f3c8f2e7eb | Python | 39 | 1 | from plotly.graph_objs import Barpolar
|
36a0cb9c5c4e0687923dfea3da8c4e44654ce601719c852626f042cec4e806da | Python | 39 | 1 | """GluonCV-Torch utility functions."""
|
aa0c78db822df0a11e03b5123499f8adca3634e531c78aa85f14ff167c16a09d | Python | 39 | 1 | from .main import PyJibe # noqa: F401
|
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