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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
618222a7642af96307f292c4da87843c4e91e65f | 1,347 | py | Python | tests/evaluation/test_evaluator.py | wararaki/irspack | 650cc012924d46b3ecb87f1a6f806aee735a9559 | [
"MIT"
] | null | null | null | tests/evaluation/test_evaluator.py | wararaki/irspack | 650cc012924d46b3ecb87f1a6f806aee735a9559 | [
"MIT"
] | null | null | null | tests/evaluation/test_evaluator.py | wararaki/irspack | 650cc012924d46b3ecb87f1a6f806aee735a9559 | [
"MIT"
] | null | null | null | import scipy.sparse as sps
import numpy as np
from sklearn.metrics import average_precision_score, ndcg_score
from irspack.evaluator import Evaluator, EvaluatorCore
from irspack.recommenders.base import BaseRecommender
from collections import defaultdict
import pytest
class MockRecommender(BaseRecommender):
def _... | 33.675 | 88 | 0.683742 |
467e2d54ea66e9b37e0972c1311462841c854158 | 1,093 | py | Python | nipype/interfaces/camino/tests/test_auto_DTIFit.py | dPys/nipype | 75030b29297808e7c9a9e91b411b685154dff60b | [
"Apache-2.0"
] | 1 | 2019-03-25T14:11:18.000Z | 2019-03-25T14:11:18.000Z | nipype/interfaces/camino/tests/test_auto_DTIFit.py | dPys/nipype | 75030b29297808e7c9a9e91b411b685154dff60b | [
"Apache-2.0"
] | 1 | 2017-01-05T01:24:33.000Z | 2017-01-05T01:24:33.000Z | nipype/interfaces/camino/tests/test_auto_DTIFit.py | wtriplett/nipype | 388f140fceaf55438a987e9cdfa2a8e995428afd | [
"Apache-2.0"
] | 1 | 2020-12-16T16:36:48.000Z | 2020-12-16T16:36:48.000Z | # AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
from ..dti import DTIFit
def test_DTIFit_inputs():
input_map = dict(
args=dict(argstr="%s",),
bgmask=dict(argstr="-bgmask %s", extensions=None,),
environ=dict(nohash=True, usedefault=True,),
in_file=dict(argstr="%s", extensions=... | 37.689655 | 84 | 0.654163 |
37473ffb8c4de3f13eaeb24913745e1ddc495038 | 5,493 | py | Python | predictions/model_prediction_scene.py | prise-3d/LSTM-noise-detection | a468e6a142a2baa64bbbaba8469cb452c2f18fe3 | [
"MIT"
] | 2 | 2021-03-15T12:24:28.000Z | 2022-03-01T20:48:19.000Z | predictions/model_prediction_scene.py | prise-3d/LSTM-noise-detection | a468e6a142a2baa64bbbaba8469cb452c2f18fe3 | [
"MIT"
] | null | null | null | predictions/model_prediction_scene.py | prise-3d/LSTM-noise-detection | a468e6a142a2baa64bbbaba8469cb452c2f18fe3 | [
"MIT"
] | null | null | null | # main imports
import numpy as np
import pandas as pd
import sys, os, argparse
# image processing
from PIL import Image
from ipfml import utils
from ipfml.processing import transform, segmentation
import matplotlib.pyplot as plt
# model imports
import joblib
from keras.models import load_model
# modules and config ... | 33.090361 | 150 | 0.608411 |
cec3755c2e13a67318a685941c53d48b84ea802b | 9,332 | py | Python | src/Evaluation.py | lbcb-sci/GNNs-Hamiltonian-cycles | 5eb546ab6141f5e0769a5d15da1e483af9a57c05 | [
"MIT"
] | null | null | null | src/Evaluation.py | lbcb-sci/GNNs-Hamiltonian-cycles | 5eb546ab6141f5e0769a5d15da1e483af9a57c05 | [
"MIT"
] | null | null | null | src/Evaluation.py | lbcb-sci/GNNs-Hamiltonian-cycles | 5eb546ab6141f5e0769a5d15da1e483af9a57c05 | [
"MIT"
] | null | null | null | import itertools
import matplotlib.pyplot as plt
import torch
import torch.utils.data
import torch_geometric as torch_g
import torch_scatter
from src.DatasetBuilder import ErdosRenyiInMemoryDataset
class EvaluationScores:
class ACCURACY_SCORE_TAGS:
perc_hamilton_found = "perc_hamilton_found"
per... | 48.103093 | 140 | 0.606515 |
47605d4e0dbd02e30d263645162f73ae68f5de56 | 447 | py | Python | tensorflow/net.py | Deliangus/3D-R2N2 | f80e83482999d1ea5510db3243c7d7a3a94697e5 | [
"MIT"
] | null | null | null | tensorflow/net.py | Deliangus/3D-R2N2 | f80e83482999d1ea5510db3243c7d7a3a94697e5 | [
"MIT"
] | null | null | null | tensorflow/net.py | Deliangus/3D-R2N2 | f80e83482999d1ea5510db3243c7d7a3a94697e5 | [
"MIT"
] | null | null | null | #import pickle
#import numpy
#import os
#from PIL import Image
import tensorflow as tf
#def convnet(x_t, activation, kernel_initializer):
def convnet(x_t):
n_convfilter = [96, 128, 256, 256, 256, 256]
n_fc_filters = [1024]
n_deconvfilter = [128, 128, 128, 64, 32, 2]
conv_1a = tf.layers.conv2d(x_t, n... | 26.294118 | 64 | 0.682327 |
055df787da2e2b58a9c2f34739e57b6fc932879b | 144 | py | Python | train/cluster/simple/models/clustering/v0/setup.py | sammysiegel/SubtLeNet | 94d1507a8a7c60548b59400109b6c4086ad83141 | [
"MIT"
] | null | null | null | train/cluster/simple/models/clustering/v0/setup.py | sammysiegel/SubtLeNet | 94d1507a8a7c60548b59400109b6c4086ad83141 | [
"MIT"
] | null | null | null | train/cluster/simple/models/clustering/v0/setup.py | sammysiegel/SubtLeNet | 94d1507a8a7c60548b59400109b6c4086ad83141 | [
"MIT"
] | 2 | 2019-07-08T20:18:22.000Z | 2020-06-01T20:04:08.000Z |
# auto-generated. do not edit!
from subtlenet import config
from subtlenet.generators import toy as generator
gen = generator.RadialClustering
| 24 | 49 | 0.819444 |
83961f6c58209cda8cad237daa6d64ae087a5166 | 2,162 | py | Python | cpx/spinner-example-bugfix-testing.py | dglaude/circuitpython-examples | 7ab5b4212be4a7e1baea0e0783c365dd9c35ac4f | [
"MIT"
] | 8 | 2019-02-21T02:55:57.000Z | 2022-03-27T00:19:26.000Z | cpx/spinner-example-bugfix-testing.py | dglaude/circuitpython-examples | 7ab5b4212be4a7e1baea0e0783c365dd9c35ac4f | [
"MIT"
] | null | null | null | cpx/spinner-example-bugfix-testing.py | dglaude/circuitpython-examples | 7ab5b4212be4a7e1baea0e0783c365dd9c35ac4f | [
"MIT"
] | 1 | 2020-09-30T20:03:40.000Z | 2020-09-30T20:03:40.000Z | ### For https://github.com/adafruit/Adafruit_CircuitPython_LIS3DH/issues/46
### bugs noted in:
### https://github.com/adafruit/Adafruit_CircuitPython_LIS3DH/blob/3.0.0/examples/spinner.py
### https://github.com/adafruit/Adafruit_CircuitPython_LIS3DH/blob/3.0.0/examples/spinner_advanced.py
import unittest
from unittest... | 31.794118 | 101 | 0.647086 |
c273dcb380c8658731c0be7caa998aca2fcb8565 | 1,784 | py | Python | ajax_views/templatetags/ajax_views.py | dldevinc/ajax_views | 10d45ea347d598c0f2cbcd697bc98bf05a9f0b07 | [
"BSD-3-Clause"
] | 4 | 2020-02-03T19:46:07.000Z | 2021-02-15T14:50:11.000Z | ajax_views/templatetags/ajax_views.py | dldevinc/ajax_views | 10d45ea347d598c0f2cbcd697bc98bf05a9f0b07 | [
"BSD-3-Clause"
] | null | null | null | ajax_views/templatetags/ajax_views.py | dldevinc/ajax_views | 10d45ea347d598c0f2cbcd697bc98bf05a9f0b07 | [
"BSD-3-Clause"
] | 1 | 2020-09-02T15:36:50.000Z | 2020-09-02T15:36:50.000Z | import json
from typing import Any, Dict
from django.template import Library
from django.utils.safestring import mark_safe
from ..logging import logger
from ..registry import registry
try:
from django.urls import reverse
except ImportError:
from django.core.urlresolvers import reverse
try:
import jinja2... | 24.438356 | 64 | 0.654148 |
31a14e93f7072dec4ec1d5e86671355d08c11f86 | 286 | py | Python | model/decode_heads/__init__.py | UESTC-Liuxin/CVMI_Sementic_Segmentation | dc5bf6e940cf6961ef65abb6e7ec372f29d55249 | [
"Apache-2.0"
] | null | null | null | model/decode_heads/__init__.py | UESTC-Liuxin/CVMI_Sementic_Segmentation | dc5bf6e940cf6961ef65abb6e7ec372f29d55249 | [
"Apache-2.0"
] | null | null | null | model/decode_heads/__init__.py | UESTC-Liuxin/CVMI_Sementic_Segmentation | dc5bf6e940cf6961ef65abb6e7ec372f29d55249 | [
"Apache-2.0"
] | null | null | null | '''
Author: Liu Xin
Date: 2021-11-17 16:02:38
LastEditors: Liu Xin
LastEditTime: 2021-11-30 15:19:23
Description: file content
FilePath: /CVMI_Sementic_Segmentation/model/decode_heads/__init__.py
'''
from .unet import Unet
from .deeplab import DeepLabHead
from .encnet import EncNet
| 19.066667 | 68 | 0.783217 |
2d45e5f431d598f4969ee7702209c66928289069 | 7,070 | py | Python | gufe/smallmoleculecomponent.py | OpenFreeEnergy/gufe | 3ee39f695e70c17cf1205597379f4be0481ca781 | [
"MIT"
] | 6 | 2022-03-25T09:52:10.000Z | 2022-03-29T19:24:47.000Z | gufe/smallmoleculecomponent.py | OpenFreeEnergy/gufe | 3ee39f695e70c17cf1205597379f4be0481ca781 | [
"MIT"
] | 12 | 2022-03-25T19:57:53.000Z | 2022-03-31T20:12:50.000Z | gufe/smallmoleculecomponent.py | OpenFreeEnergy/gufe | 3ee39f695e70c17cf1205597379f4be0481ca781 | [
"MIT"
] | null | null | null | # This code is part of OpenFE and is licensed under the MIT license.
# For details, see https://github.com/OpenFreeEnergy/gufe
import logging
# openff complains about oechem being missing, shhh
logger = logging.getLogger('openff.toolkit')
logger.setLevel(logging.ERROR)
from openff.toolkit.topology import Molecule as OF... | 32.431193 | 79 | 0.640453 |
23ec48ee221f35f83fa4532b750dfa580cf5f80e | 133,887 | py | Python | include/scons/src/engine/SCons/Node/FSTests.py | SWEN-712/screen-reader-brandonp728 | e30c25ad2d10ce632fac0548696a61a872328f59 | [
"bzip2-1.0.6"
] | null | null | null | include/scons/src/engine/SCons/Node/FSTests.py | SWEN-712/screen-reader-brandonp728 | e30c25ad2d10ce632fac0548696a61a872328f59 | [
"bzip2-1.0.6"
] | 4 | 2019-04-11T16:27:45.000Z | 2019-04-11T23:56:30.000Z | include/scons/src/engine/SCons/Node/FSTests.py | SWEN-712/screen-reader-brandonp728 | e30c25ad2d10ce632fac0548696a61a872328f59 | [
"bzip2-1.0.6"
] | 1 | 2019-06-12T20:30:04.000Z | 2019-06-12T20:30:04.000Z | #
# __COPYRIGHT__
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicen... | 34.338805 | 125 | 0.520872 |
091e72c10e8f2c277f4e6d7eb07862efa3df9c6b | 3,939 | py | Python | tests/unit/test_clt.py | jamespfennell/realtimerail | 352dd7d185d3501d28276476e1390d3288735690 | [
"MIT"
] | 10 | 2018-10-25T13:07:42.000Z | 2022-02-08T20:49:07.000Z | tests/unit/test_clt.py | jamespfennell/realtimerail | 352dd7d185d3501d28276476e1390d3288735690 | [
"MIT"
] | 80 | 2019-04-06T23:01:44.000Z | 2022-02-05T23:35:54.000Z | tests/unit/test_clt.py | jamespfennell/realtimerail | 352dd7d185d3501d28276476e1390d3288735690 | [
"MIT"
] | 3 | 2021-05-07T16:43:39.000Z | 2021-07-15T18:06:07.000Z | import time
from unittest import mock
import pytest
from click.testing import CliRunner
from sqlalchemy import exc
from transiter import clt
from transiter.db import dbconnection
from transiter.executor import celeryapp
from transiter.http import flaskapp
from transiter.scheduler import client, server as scheduler
... | 26.979452 | 88 | 0.70297 |
889ee7fb1cf2aee717ea8a36c763030f3721c3ed | 2,690 | py | Python | tests/integration_tests/end_to_end_test.py | alexlau811/keras-tuner | 5f7061d443d29babfe2f2618e8d0a77abf5ed53f | [
"Apache-2.0"
] | 1 | 2020-11-08T17:04:21.000Z | 2020-11-08T17:04:21.000Z | tests/integration_tests/end_to_end_test.py | alexlau811/keras-tuner | 5f7061d443d29babfe2f2618e8d0a77abf5ed53f | [
"Apache-2.0"
] | null | null | null | tests/integration_tests/end_to_end_test.py | alexlau811/keras-tuner | 5f7061d443d29babfe2f2618e8d0a77abf5ed53f | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The Keras Tuner Authors
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 29.23913 | 74 | 0.666543 |
1f45927b8dd2c284d713f15a5d86e49565215837 | 923,462 | py | Python | virtual/lib/python3.6/site-packages/phonenumbers/geodata/data20.py | marknesh/neighbourhood-watch | 57e36c800b9e4898be9f4949c80c902f7627699a | [
"MIT"
] | null | null | null | virtual/lib/python3.6/site-packages/phonenumbers/geodata/data20.py | marknesh/neighbourhood-watch | 57e36c800b9e4898be9f4949c80c902f7627699a | [
"MIT"
] | 10 | 2020-03-24T10:47:53.000Z | 2021-04-08T19:51:44.000Z | virtual/lib/python3.6/site-packages/phonenumbers/geodata/data20.py | marknesh/Neighbourhood-Watch | 57e36c800b9e4898be9f4949c80c902f7627699a | [
"MIT"
] | null | null | null | """Per-prefix data, mapping each prefix to a dict of locale:name.
Auto-generated file, do not edit by hand.
"""
from ..util import u
# Copyright (C) 2011-2020 The Libphonenumber Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Licens... | 92.134291 | 139 | 0.648902 |
efad9dd299d4c2c163684d81f9b0a80b9b7b41e5 | 1,535 | py | Python | backend/django_react_api/django_react_api/urls.py | LifeWatcher123/infinix-website | 395f1dad6d6fddb67542080ce06d341b2fd15376 | [
"MIT"
] | null | null | null | backend/django_react_api/django_react_api/urls.py | LifeWatcher123/infinix-website | 395f1dad6d6fddb67542080ce06d341b2fd15376 | [
"MIT"
] | null | null | null | backend/django_react_api/django_react_api/urls.py | LifeWatcher123/infinix-website | 395f1dad6d6fddb67542080ce06d341b2fd15376 | [
"MIT"
] | null | null | null | """django_react_api URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Wagtail CMS has its own URL endpoints defined in `django_rest_framework.api`.
Furthermore, Wagtail provides the functionality of the `views.py... | 37.439024 | 95 | 0.764169 |
42cfe5ddf6dbe0522750ae205ceb368114689475 | 452 | py | Python | adv/melsa.py | mattkw/dl | 45bfc28ad9ff827045a3734730deb893a2436c09 | [
"Apache-2.0"
] | null | null | null | adv/melsa.py | mattkw/dl | 45bfc28ad9ff827045a3734730deb893a2436c09 | [
"Apache-2.0"
] | null | null | null | adv/melsa.py | mattkw/dl | 45bfc28ad9ff827045a3734730deb893a2436c09 | [
"Apache-2.0"
] | null | null | null | import adv_test
from adv import *
def module():
return Melsa
class Melsa(Adv):
a3 = ('cc',0.08,'hit15')
if __name__ == '__main__':
conf = {}
conf['acl'] = """
`s1, seq=5 and cancel or fsc
`s2, seq=5 and cancel or fsc
`s3, seq=5 and cancel or fsc
`fs, seq=5
""... | 16.142857 | 52 | 0.475664 |
44e299135e83eae3432acb8c163b63677bebf289 | 2,712 | py | Python | label_certification/cert_config.py | gothill/python-fedex | 62dc8f554babd7066d6c6e7c478944f30fc2b75b | [
"BSD-3-Clause"
] | 100 | 2016-01-22T23:46:10.000Z | 2022-03-26T05:00:53.000Z | label_certification/cert_config.py | gothill/python-fedex | 62dc8f554babd7066d6c6e7c478944f30fc2b75b | [
"BSD-3-Clause"
] | 77 | 2016-01-19T06:10:22.000Z | 2022-03-26T06:04:14.000Z | label_certification/cert_config.py | gothill/python-fedex | 62dc8f554babd7066d6c6e7c478944f30fc2b75b | [
"BSD-3-Clause"
] | 102 | 2016-02-08T23:28:45.000Z | 2022-02-28T11:37:27.000Z | """
This file holds configuration for your test account. Make SURE to change
the values below to your account's TESTING meter number.
"""
import os
import sys
# Use the fedex directory included in the downloaded package instead of
# any globally installed versions.
sys.path.insert(0, os.path.dirname(os.path.dirname(os... | 36.16 | 79 | 0.717183 |
3af0b284e46bf1848d68eca2caac08cec959ed77 | 1,679 | py | Python | finplot/examples/arrow.py | Skinok/finplot | 6fa771205efa1782c5aa3fb1e18454418be85858 | [
"MIT"
] | null | null | null | finplot/examples/arrow.py | Skinok/finplot | 6fa771205efa1782c5aa3fb1e18454418be85858 | [
"MIT"
] | null | null | null | finplot/examples/arrow.py | Skinok/finplot | 6fa771205efa1782c5aa3fb1e18454418be85858 | [
"MIT"
] | 1 | 2021-12-16T03:45:28.000Z | 2021-12-16T03:45:28.000Z | # -*- coding: utf-8 -*-
"""
Display an animated arrowhead following a curve.
This example uses the CurveArrow class, which is a combination
of ArrowItem and CurvePoint.
To place a static arrow anywhere in a scene, use ArrowItem.
To attach other types of item to a curve, use CurvePoint.
"""
import numpy as np
from p... | 30.527273 | 114 | 0.711733 |
448d1c19351d34a50f555897212810bd9f18e5bd | 338 | py | Python | get_fluid_intelligence.py | dengemann/engemann-2020-multimodal-brain-age | ceffb1e01658e31d19dfc4dc0be7aff1d6d21af5 | [
"BSD-3-Clause"
] | 6 | 2020-11-11T21:26:20.000Z | 2022-01-18T17:18:45.000Z | get_fluid_intelligence.py | dengemann/engemann-2020-multimodal-brain-age | ceffb1e01658e31d19dfc4dc0be7aff1d6d21af5 | [
"BSD-3-Clause"
] | 1 | 2022-03-14T07:56:17.000Z | 2022-03-14T07:56:17.000Z | get_fluid_intelligence.py | dengemann/engemann-2020-multimodal-brain-age | ceffb1e01658e31d19dfc4dc0be7aff1d6d21af5 | [
"BSD-3-Clause"
] | 3 | 2020-06-10T08:34:04.000Z | 2022-03-14T01:37:08.000Z | import glob
import pandas as pd
fnames = glob.glob(
'/Users/dengeman/cc700-scored/Cattell/release001/data/*.txt')
dfs = list()
for fname in sorted(fnames):
df = pd.read_csv(fname, sep='\t')
df['subject'] = fname.split('/')[-1].split('_')[1]
dfs.append(df)
df_cattell = pd.concat(dfs)
df_cattell.to_csv('... | 26 | 65 | 0.668639 |
c31bc9002952d9b2d1383fa3eb8c3a130f1ff366 | 9,119 | py | Python | fanficfare/adapters/adapter_hpfanficarchivecom.py | vuonojenmustaturska/FanFicFare | 0234c161175a10bb3420e446e76cbdc9f9a3cf8a | [
"Apache-2.0"
] | null | null | null | fanficfare/adapters/adapter_hpfanficarchivecom.py | vuonojenmustaturska/FanFicFare | 0234c161175a10bb3420e446e76cbdc9f9a3cf8a | [
"Apache-2.0"
] | null | null | null | fanficfare/adapters/adapter_hpfanficarchivecom.py | vuonojenmustaturska/FanFicFare | 0234c161175a10bb3420e446e76cbdc9f9a3cf8a | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2012 Fanficdownloader team, 2018 FanFicFare team
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | 40.892377 | 183 | 0.611471 |
85f95d416ba44e1a3be4aacebb8cd3dd97345d64 | 3,650 | py | Python | bindings/python/ensmallen/datasets/string/streptococcusconstellatuspharyngissk1060.py | AnacletoLAB/ensmallen | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 5 | 2021-09-10T18:31:58.000Z | 2022-03-24T04:28:04.000Z | bindings/python/ensmallen/datasets/string/streptococcusconstellatuspharyngissk1060.py | AnacletoLAB/ensmallen_graph | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 18 | 2021-01-07T16:47:39.000Z | 2021-08-12T21:51:32.000Z | bindings/python/ensmallen/datasets/string/streptococcusconstellatuspharyngissk1060.py | AnacletoLAB/ensmallen | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 3 | 2021-01-14T02:20:59.000Z | 2021-08-04T19:09:52.000Z | """
This file offers the methods to automatically retrieve the graph Streptococcus constellatus pharyngis SK1060.
The graph is automatically retrieved from the STRING repository.
References
---------------------
Please cite the following if you use the data:
```bib
@article{szklarczyk2019string,
title={STRING ... | 33.796296 | 223 | 0.684932 |
03bca3fdb4fefd7164ec5ce0ff7c5c326f52e2b6 | 1,342 | py | Python | conf.py | Jakski/ansible-role-fail2ban | 837cf3c14f345c8b5f96e833400d0dcfdd628cde | [
"MIT"
] | null | null | null | conf.py | Jakski/ansible-role-fail2ban | 837cf3c14f345c8b5f96e833400d0dcfdd628cde | [
"MIT"
] | null | null | null | conf.py | Jakski/ansible-role-fail2ban | 837cf3c14f345c8b5f96e833400d0dcfdd628cde | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# -- Path setup --------------------------------------------------------------
import re
def get_latest_version(changelog):
'''Retrieve latest version of package from changelog file.'''
# Match strings like "## [1.2.3] - 2017-02-02"
regex = r'^##\s*\[(\d+.\d+.\d+)\]\s*-\s*\d{4}-\... | 26.84 | 78 | 0.5231 |
cb2707daa431848ca5af5c1a00220076db010a27 | 6,742 | py | Python | roadmap_planner/src/roadmap_planner/service_proxies.py | JKBehrens/STAAMS-Solver | b6837da69cda574d081ab3dc0b307e3ce40ad6f2 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 16 | 2018-12-11T13:02:58.000Z | 2022-02-28T09:05:20.000Z | roadmap_planner/src/roadmap_planner/service_proxies.py | stepakar/STAAMS-Solver | b6837da69cda574d081ab3dc0b307e3ce40ad6f2 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 2 | 2019-11-04T13:16:49.000Z | 2022-02-28T09:17:30.000Z | roadmap_planner/src/roadmap_planner/service_proxies.py | stepakar/STAAMS-Solver | b6837da69cda574d081ab3dc0b307e3ce40ad6f2 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 4 | 2019-02-12T12:41:25.000Z | 2022-02-09T12:55:56.000Z | #!/usr/bin/env python
"""
Copyright (c) 2018 Robert Bosch GmbH
All rights reserved.
This source code is licensed under the BSD-3-Clause license found in the
LICENSE file in the root directory of this source tree.
@author: Jan Behrens
"""
import rospy
from roadmap_planning_common_msgs.srv import AddOVC, AddOVCRespons... | 37.876404 | 123 | 0.671166 |
c963f2a29538a36990b059b0a16747128e693ea9 | 3,446 | py | Python | utils.py | bassbone/pytorch-cifar | f744fe027f3bb080c33daf8cee37e8ceb025d7db | [
"MIT"
] | null | null | null | utils.py | bassbone/pytorch-cifar | f744fe027f3bb080c33daf8cee37e8ceb025d7db | [
"MIT"
] | null | null | null | utils.py | bassbone/pytorch-cifar | f744fe027f3bb080c33daf8cee37e8ceb025d7db | [
"MIT"
] | null | null | null | '''Some helper functions for PyTorch, including:
- get_mean_and_std: calculate the mean and std value of dataset.
- msr_init: net parameter initialization.
- progress_bar: progress bar mimic xlua.progress.
'''
import os
import sys
import time
import math
import torch.nn as nn
import torch.nn.init as init
... | 27.568 | 96 | 0.578062 |
4179d4602142c12fcf1da02675e8c16dbaaa819a | 581 | py | Python | invoices/migrations/0003_auto_20190527_1620.py | exenin/Django-CRM | 009461beb2279590c656465c6b47cd2e1e5aaa70 | [
"MIT"
] | 2 | 2020-07-28T12:32:57.000Z | 2020-08-20T11:47:07.000Z | invoices/migrations/0003_auto_20190527_1620.py | exenin/Django-CRM | 009461beb2279590c656465c6b47cd2e1e5aaa70 | [
"MIT"
] | 1 | 2020-03-27T17:02:11.000Z | 2020-04-03T17:21:24.000Z | invoices/migrations/0003_auto_20190527_1620.py | exenin/Django-CRM | 009461beb2279590c656465c6b47cd2e1e5aaa70 | [
"MIT"
] | 5 | 2020-03-21T09:55:05.000Z | 2020-04-03T06:51:02.000Z | # Generated by Django 2.1.7 on 2019-05-27 10:50
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('invoices', '0002_auto_20190524_1113'),
]
operations = [
migrations.AddField(
model_name='invoice',
name='details',
... | 24.208333 | 82 | 0.585198 |
2ffdacd7b5bab27ccc721ae3b4292fbc40021317 | 17,959 | py | Python | transcrypt/development/automated_tests/transcrypt/div_issues/__init__.py | JMCanning78/Transcrypt | 8a8dabe831240414fdf1d5027fa2b0d71ab45d05 | [
"Apache-2.0"
] | 1 | 2017-08-11T01:51:51.000Z | 2017-08-11T01:51:51.000Z | transcrypt/development/automated_tests/transcrypt/div_issues/__init__.py | JMCanning78/Transcrypt | 8a8dabe831240414fdf1d5027fa2b0d71ab45d05 | [
"Apache-2.0"
] | 2 | 2021-03-11T07:09:19.000Z | 2021-05-12T11:26:23.000Z | transcrypt/development/automated_tests/transcrypt/div_issues/__init__.py | JMCanning78/Transcrypt | 8a8dabe831240414fdf1d5027fa2b0d71ab45d05 | [
"Apache-2.0"
] | 1 | 2021-02-07T00:22:12.000Z | 2021-02-07T00:22:12.000Z | from org.transcrypt.stubs.browser import __pragma__, __new__, __envir__, __symbols__
from div_issues.issue55 import * # Names not exported from package's __init__.py, no output, only compilation check
from div_issues.issue387 import run387 # Support __module__ and __qualname__ for introspection (only __module_... | 32.358559 | 158 | 0.550309 |
1d2277bc71a4f719dc2dd22a40b2b06d5035d1ea | 163 | py | Python | app_modules.py | noahlwest/cse115a | a1fdd84b6cbb859580b2c8728d275ed695a8c702 | [
"MIT"
] | null | null | null | app_modules.py | noahlwest/cse115a | a1fdd84b6cbb859580b2c8728d275ed695a8c702 | [
"MIT"
] | null | null | null | app_modules.py | noahlwest/cse115a | a1fdd84b6cbb859580b2c8728d275ed695a8c702 | [
"MIT"
] | null | null | null | # GUI FILE FOR WIDGETS
from Social_GUI import Ui_MainWindow
# IMPORT CUSTOM STYLEE
from ui_styles import Style
# IMPORT GUI FUNCTIONS
from ui_functions import *
| 18.111111 | 36 | 0.809816 |
0cabd0f4faf62e490d2483f6dce04169d67a7a79 | 620 | py | Python | wgeasywall/utils/mongo/table/query.py | Identeco/WGEasywall | 301a80bf86900414951b96dc9ffd1e94c52220a5 | [
"MIT"
] | null | null | null | wgeasywall/utils/mongo/table/query.py | Identeco/WGEasywall | 301a80bf86900414951b96dc9ffd1e94c52220a5 | [
"MIT"
] | 1 | 2022-01-30T10:37:20.000Z | 2022-01-30T10:37:20.000Z | wgeasywall/utils/mongo/table/query.py | araminian/wgeasywall | ee3d6d91f1097aa5f498e66e07ec2629cd198e6d | [
"MIT"
] | null | null | null | from wgeasywall.utils.mongo.core import collection
def query_abstract(database_name,table_name,query):
table = collection.get_collection(database_name,table_name)
if(type(table) == dict and 'ErrorCode' in table):
return table
try:
entries = table.find(query)
except Exception as e:
... | 29.52381 | 67 | 0.698387 |
611abb4cd191a094bbd156be1f03dacdc737cd24 | 1,176 | py | Python | groundstation/config.py | dkkline/CanSat14-15 | 153d7d5b20ecdfbb3c3e0a2d416ea79bdd4899d1 | [
"MIT"
] | null | null | null | groundstation/config.py | dkkline/CanSat14-15 | 153d7d5b20ecdfbb3c3e0a2d416ea79bdd4899d1 | [
"MIT"
] | null | null | null | groundstation/config.py | dkkline/CanSat14-15 | 153d7d5b20ecdfbb3c3e0a2d416ea79bdd4899d1 | [
"MIT"
] | null | null | null | """
Contains the configuration parameters used by the groundstation module.
"""
COM_FILE = "com_file"
BIND_ADDRESS = "0.0.0.0"
DATA_BASE_PATH = "data"
DATA_CONFIG_FILE = "data_config.json"
PRESENTER = {
"port": 80,
"address": BIND_ADDRESS,
"debug": True,
"database": "sqliteext:///presenter.db"
}
FAK... | 19.932203 | 71 | 0.558673 |
ce37126b32ff915930da016783728d50ae60fd0a | 4,622 | py | Python | src/Lib/test/test_dynamic.py | NUS-ALSET/ace-react-redux-brython | d009490263c5716a145d9691cd59bfcd5aff837a | [
"MIT"
] | 1 | 2021-08-05T12:45:39.000Z | 2021-08-05T12:45:39.000Z | src/Lib/test/test_dynamic.py | NUS-ALSET/ace-react-redux-brython | d009490263c5716a145d9691cd59bfcd5aff837a | [
"MIT"
] | null | null | null | src/Lib/test/test_dynamic.py | NUS-ALSET/ace-react-redux-brython | d009490263c5716a145d9691cd59bfcd5aff837a | [
"MIT"
] | 1 | 2019-09-05T08:20:07.000Z | 2019-09-05T08:20:07.000Z | # Test the most dynamic corner cases of Python's runtime semantics.
import builtins
import contextlib
import unittest
from test.support import run_unittest, swap_item, swap_attr
class RebindBuiltinsTests(unittest.TestCase):
"""Test all the ways that we can change/shadow globals/builtins."""
d... | 32.097222 | 81 | 0.566421 |
a8418f5da9e478efe1b6149b0c0b3065943a0b1f | 14,686 | py | Python | jina/drivers/__init__.py | ryan-zheng-teki/jina | 042175fdb7e3ed8d9dd17233231beb2a8c2004bf | [
"Apache-2.0"
] | null | null | null | jina/drivers/__init__.py | ryan-zheng-teki/jina | 042175fdb7e3ed8d9dd17233231beb2a8c2004bf | [
"Apache-2.0"
] | null | null | null | jina/drivers/__init__.py | ryan-zheng-teki/jina | 042175fdb7e3ed8d9dd17233231beb2a8c2004bf | [
"Apache-2.0"
] | null | null | null | __copyright__ = "Copyright (c) 2020 Jina AI Limited. All rights reserved."
__license__ = "Apache-2.0"
import inspect
from functools import wraps
from typing import (
Any,
Dict,
Callable,
Tuple,
Optional,
Sequence,
)
from google.protobuf.struct_pb2 import Struct
from ..enums import SkipOnError... | 39.26738 | 174 | 0.610105 |
4455de25ad62ee07f199e847cc0980e0debee961 | 880 | py | Python | test/test_devices_info.py | metacore-io/metacore-api-client-python | 37d6127442e7a56deeedb88bf50b83e5d24fa7b0 | [
"MIT"
] | null | null | null | test/test_devices_info.py | metacore-io/metacore-api-client-python | 37d6127442e7a56deeedb88bf50b83e5d24fa7b0 | [
"MIT"
] | null | null | null | test/test_devices_info.py | metacore-io/metacore-api-client-python | 37d6127442e7a56deeedb88bf50b83e5d24fa7b0 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Metacore IoT Object Storage API
Metacore Object Storage - IOT Core Services # noqa: E501
OpenAPI spec version: 1.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import metacore_api_python_cli
fr... | 22 | 89 | 0.702273 |
cb68c5bb1286fa43803a6541a04b22c3aba1f74e | 607 | py | Python | selenium__examples/music_yandex_ru/get_all_tracks_playlist/config.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 117 | 2015-12-18T07:18:27.000Z | 2022-03-28T00:25:54.000Z | selenium__examples/music_yandex_ru/get_all_tracks_playlist/config.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 8 | 2018-10-03T09:38:46.000Z | 2021-12-13T19:51:09.000Z | selenium__examples/music_yandex_ru/get_all_tracks_playlist/config.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 28 | 2016-08-02T17:43:47.000Z | 2022-03-21T08:31:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
import os.path
from pathlib import Path
# pip install selenium
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
profile_directory = os.path.expandvars(r'%AppData%\Mozilla\Firefox\Profiles\p75l82q1.for_mail_... | 24.28 | 105 | 0.782537 |
0ab1295117d00c1edd788094efc2a9b5fb9734a0 | 4,374 | py | Python | contrib/seeds/generate-seeds.py | unitedcryptocommunity/kzcash | 763bc86787079356f9f0b60b6256a522979caf4a | [
"MIT"
] | 8 | 2017-11-29T12:03:11.000Z | 2020-12-10T01:03:25.000Z | contrib/seeds/generate-seeds.py | unitedcryptocommunity/kzcash | 763bc86787079356f9f0b60b6256a522979caf4a | [
"MIT"
] | 2 | 2017-11-05T14:34:15.000Z | 2017-11-12T00:11:00.000Z | contrib/seeds/generate-seeds.py | unitedcryptocommunity/kzcash | 763bc86787079356f9f0b60b6256a522979caf4a | [
"MIT"
] | 10 | 2017-11-19T15:04:24.000Z | 2022-03-07T22:38:23.000Z | #!/usr/bin/python
# Copyright (c) 2014 Wladimir J. van der Laan
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
'''
Script to generate list of seed nodes for chainparams.cpp.
This script expects two text files in the directory tha... | 31.467626 | 98 | 0.582076 |
2c3d6f0a649af3c72c7811d55b1770d7fc4f778f | 18,591 | py | Python | env/Lib/site-packages/imageio/core/util.py | L0dz/auto-post | 91563235a74336e4326a13b142c05c6755e0cf47 | [
"Apache-2.0"
] | null | null | null | env/Lib/site-packages/imageio/core/util.py | L0dz/auto-post | 91563235a74336e4326a13b142c05c6755e0cf47 | [
"Apache-2.0"
] | 6 | 2019-12-17T13:32:08.000Z | 2021-06-02T00:49:29.000Z | cineBot/lib/python3.6/site-packages/imageio/core/util.py | furkanalpereny/cineBot | cb93b6fc6ab25ba0601067f54b6824a8462f470d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2015, imageio contributors
# imageio is distributed under the terms of the (new) BSD License.
"""
Various utilities for imageio
"""
from __future__ import absolute_import, print_function, division
import re
import os
import sys
import time
import struct
from warnings import w... | 34.174632 | 79 | 0.595019 |
02cddab8547d422b0fcd5ee20c784a6dfc08ad5c | 7,065 | py | Python | rrdb/meta.py | pegasus-kv/pegasus-python-client | cb1a91336cc04f5e2ffdc92a6f3831045ece4b95 | [
"Apache-2.0"
] | 3 | 2018-01-15T06:58:32.000Z | 2021-11-15T08:42:33.000Z | rrdb/meta.py | pegasus-kv/pegasus-python-client | cb1a91336cc04f5e2ffdc92a6f3831045ece4b95 | [
"Apache-2.0"
] | null | null | null | rrdb/meta.py | pegasus-kv/pegasus-python-client | cb1a91336cc04f5e2ffdc92a6f3831045ece4b95 | [
"Apache-2.0"
] | 1 | 2018-01-22T02:07:40.000Z | 2018-01-22T02:07:40.000Z | #
# Autogenerated by Thrift Compiler (0.9.3)
#
# DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
#
# options string: py
#
from thrift.Thrift import TType, TMessageType, TException, TApplicationException
import logging
from ttypes import *
from thrift.Thrift import TProcessor
from thrift.transport imp... | 29.194215 | 188 | 0.682803 |
a8bd118a626dcb284e4447b2a0af07727caa1f16 | 342 | py | Python | src/old_ui/UserInterfaces.py | fdesjardins/surface-estimation-and-image-relighting | fb5aa44612076f7ee59da891edc61268eb4c05ad | [
"MIT"
] | 9 | 2017-06-14T09:58:27.000Z | 2020-12-18T03:22:06.000Z | src/old_ui/UserInterfaces.py | fdesjardins/svm-surface-estimation-and-relighting | fb5aa44612076f7ee59da891edc61268eb4c05ad | [
"MIT"
] | null | null | null | src/old_ui/UserInterfaces.py | fdesjardins/svm-surface-estimation-and-relighting | fb5aa44612076f7ee59da891edc61268eb4c05ad | [
"MIT"
] | 2 | 2020-01-19T01:06:59.000Z | 2021-08-08T10:32:34.000Z | from PySide import QtCore
from PySide import QtGui
class DefaultUI(QtGui.QWidget):
def __init__(self, parent=None, display=None):
QtGui.QWidget.__init__(self)
## adjust layout
grid = QtGui.QGridLayout()
grid.addWidget(display)
grid.setContentsMargins(0,0,0,0)
... | 28.5 | 50 | 0.654971 |
0054411ee64642f19d2a4d5fe225e4cc6286d033 | 5,744 | py | Python | google-datacatalog-tableau-connector/src/google/datacatalog_connectors/tableau/scrape/metadata_scraper.py | Parkman328/datacatalog-connectors-bi | 630de336617728713779d7224eeab140d5abaec2 | [
"Apache-2.0"
] | 27 | 2020-04-27T21:55:49.000Z | 2022-02-18T22:09:13.000Z | google-datacatalog-tableau-connector/src/google/datacatalog_connectors/tableau/scrape/metadata_scraper.py | Parkman328/datacatalog-connectors-bi | 630de336617728713779d7224eeab140d5abaec2 | [
"Apache-2.0"
] | 36 | 2020-05-01T15:26:14.000Z | 2022-03-26T00:09:19.000Z | google-datacatalog-tableau-connector/src/google/datacatalog_connectors/tableau/scrape/metadata_scraper.py | Parkman328/datacatalog-connectors-bi | 630de336617728713779d7224eeab140d5abaec2 | [
"Apache-2.0"
] | 18 | 2020-04-30T22:14:09.000Z | 2022-01-13T10:28:03.000Z | #!/usr/bin/python
#
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 39.613793 | 77 | 0.662604 |
38dc87aa3bbb69142f19ad87f9891b5b6ce4dd71 | 5,451 | py | Python | caelus/scripts/core.py | cnsidero/cpl | aad9eec2776e87265a87e0fddaf87e89b7a7abb1 | [
"Apache-2.0"
] | null | null | null | caelus/scripts/core.py | cnsidero/cpl | aad9eec2776e87265a87e0fddaf87e89b7a7abb1 | [
"Apache-2.0"
] | 25 | 2018-04-11T17:44:34.000Z | 2021-07-19T16:57:17.000Z | caelus/scripts/core.py | cnsidero/cpl | aad9eec2776e87265a87e0fddaf87e89b7a7abb1 | [
"Apache-2.0"
] | 2 | 2019-03-28T12:12:58.000Z | 2021-05-02T16:18:16.000Z | # -*- coding: utf-8 -*-
"""\
Basic CLI Interface
-------------------
Defines the base classes that are used to build the CLI scripts.
"""
import logging
import argparse
from ..config.config import get_config, configure_logging, rcfiles_loaded
from ..config import cmlenv
from ..version import version
_lgr = logging.... | 37.335616 | 100 | 0.615116 |
bb9aef0c0d0952c02b807a14769ba55792ba140b | 7,278 | py | Python | lib_tennis.py | JoeyChennn/TennisPoint | 2d876ac87277062f931343c3095e7eab24083c31 | [
"Apache-2.0"
] | 11 | 2020-09-17T06:39:40.000Z | 2021-12-25T02:58:54.000Z | lib_tennis.py | JoeyChennn/TennisPoint | 2d876ac87277062f931343c3095e7eab24083c31 | [
"Apache-2.0"
] | null | null | null | lib_tennis.py | JoeyChennn/TennisPoint | 2d876ac87277062f931343c3095e7eab24083c31 | [
"Apache-2.0"
] | 2 | 2020-10-23T10:46:29.000Z | 2020-11-04T05:24:13.000Z | # -*- coding: utf-8 -*-
import cv2,os
import copy
import numpy as np
from lmfit.models import GaussianModel, LorentzianModel, LinearModel, PolynomialModel
from lmfit.printfuncs import getfloat_attr
def np_resize_max_size(img,max_size):
height, width, channel = img.shape
# magnify image size
tar... | 34.009346 | 119 | 0.588761 |
2475341b004ee40093081fde756d86b2f1da0cf8 | 2,896 | py | Python | tests/unit/core/customisation_tests.py | jupitercl/meatme-oscar-dev | 40583cbb3c6762640a403956e41bffac0bb2ad48 | [
"BSD-3-Clause"
] | null | null | null | tests/unit/core/customisation_tests.py | jupitercl/meatme-oscar-dev | 40583cbb3c6762640a403956e41bffac0bb2ad48 | [
"BSD-3-Clause"
] | null | null | null | tests/unit/core/customisation_tests.py | jupitercl/meatme-oscar-dev | 40583cbb3c6762640a403956e41bffac0bb2ad48 | [
"BSD-3-Clause"
] | null | null | null | import os
import tempfile
from django.test import TestCase
from django.conf import settings
from oscar.core import customisation
VALID_FOLDER_PATH = 'tests/_site/apps'
class TestUtilities(TestCase):
def test_subfolder_extraction(self):
folders = list(customisation.subfolders('/var/www/eggs'))
... | 39.135135 | 79 | 0.673343 |
4ac974f405dedb9304d63874379ce65585e51227 | 23,602 | py | Python | featuretools/primitives/standard/binary_transform.py | jeffzi/featuretools | cd674b3f302832cacb3ce9cc95d5ce2f5052a4d6 | [
"BSD-3-Clause"
] | 1 | 2019-10-22T03:36:36.000Z | 2019-10-22T03:36:36.000Z | featuretools/primitives/standard/binary_transform.py | jeffzi/featuretools | cd674b3f302832cacb3ce9cc95d5ce2f5052a4d6 | [
"BSD-3-Clause"
] | null | null | null | featuretools/primitives/standard/binary_transform.py | jeffzi/featuretools | cd674b3f302832cacb3ce9cc95d5ce2f5052a4d6 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import pandas as pd
from featuretools.primitives.base.transform_primitive_base import (
TransformPrimitive
)
from featuretools.variable_types import (
Boolean,
Datetime,
Numeric,
Ordinal,
Variable
)
class GreaterThan(TransformPrimitive):
"""Determines if values in one l... | 30.104592 | 86 | 0.640115 |
4d187934887152ee6852e6407d4d58c94b396ae7 | 2,943 | py | Python | setup.py | NikhilKumar1234/incubator-superset | 81fc3dfbee503aa59e5424428ec144fcf4c831d1 | [
"Apache-2.0"
] | null | null | null | setup.py | NikhilKumar1234/incubator-superset | 81fc3dfbee503aa59e5424428ec144fcf4c831d1 | [
"Apache-2.0"
] | null | null | null | setup.py | NikhilKumar1234/incubator-superset | 81fc3dfbee503aa59e5424428ec144fcf4c831d1 | [
"Apache-2.0"
] | null | null | null | import io
import json
import os
import subprocess
import sys
from setuptools import find_packages, setup
if sys.version_info < (3, 6):
sys.exit('Sorry, Python < 3.6 is not supported')
BASE_DIR = os.path.abspath(os.path.dirname(__file__))
PACKAGE_DIR = os.path.join(BASE_DIR, 'superset', 'static', 'assets')
PACKAG... | 26.044248 | 79 | 0.582399 |
2c75f8a023d4f3f681e5311e531222369edd6e83 | 1,725 | py | Python | airflow_tutorial/dags/ml_pipeline.py | thejungwon/machine_learning_serving | 1d1e003c65588dbe1383619e21dfe4b22afc713e | [
"MIT"
] | null | null | null | airflow_tutorial/dags/ml_pipeline.py | thejungwon/machine_learning_serving | 1d1e003c65588dbe1383619e21dfe4b22afc713e | [
"MIT"
] | null | null | null | airflow_tutorial/dags/ml_pipeline.py | thejungwon/machine_learning_serving | 1d1e003c65588dbe1383619e21dfe4b22afc713e | [
"MIT"
] | null | null | null | #References : https://towardsdatascience.com/10-minutes-to-building-a-machine-learning-pipeline-with-apache-airflow-53cd09268977
from datetime import timedelta
from airflow import DAG
from airflow.utils.dates import days_ago
from airflow.operators.python import PythonOperator
from airflow.operators.bash import BashOpe... | 23.310811 | 128 | 0.693913 |
be3a54da11e16c353b07b6e7ad95579671b1ba8b | 319 | py | Python | otp/distributed/DistributedDirectoryAI.py | SuperM0use24/TT-CL-Edition | fdad8394f0656ae122b687d603f72afafd220c65 | [
"MIT"
] | null | null | null | otp/distributed/DistributedDirectoryAI.py | SuperM0use24/TT-CL-Edition | fdad8394f0656ae122b687d603f72afafd220c65 | [
"MIT"
] | 1 | 2021-06-08T17:16:48.000Z | 2021-06-08T17:16:48.000Z | otp/distributed/DistributedDirectoryAI.py | SuperM0use24/TT-CL-Edition | fdad8394f0656ae122b687d603f72afafd220c65 | [
"MIT"
] | 3 | 2021-06-03T05:36:36.000Z | 2021-06-22T15:07:31.000Z | from direct.directnotify import DirectNotifyGlobal
from direct.distributed.DistributedObjectAI import DistributedObjectAI
class DistributedDirectoryAI(DistributedObjectAI):
notify = DirectNotifyGlobal.directNotify.newCategory('DistributedDirectoryAI')
def setParentingRules(self, todo0, todo1):
pass
| 31.9 | 82 | 0.827586 |
57e9b845e4504acd8c64995fe7ccdcd8b3a4c137 | 4,062 | py | Python | python/tests/utils/test_environment_decorator.py | xuyanbo03/lab | cf2f5250e1a00ecce37b3480df28c3a5dcd08b57 | [
"CC-BY-4.0"
] | 7,407 | 2016-12-06T08:40:58.000Z | 2022-03-31T12:19:09.000Z | python/tests/utils/test_environment_decorator.py | xuyanbo03/lab | cf2f5250e1a00ecce37b3480df28c3a5dcd08b57 | [
"CC-BY-4.0"
] | 227 | 2016-12-06T22:05:33.000Z | 2022-03-29T09:47:06.000Z | python/tests/utils/test_environment_decorator.py | xuyanbo03/lab | cf2f5250e1a00ecce37b3480df28c3a5dcd08b57 | [
"CC-BY-4.0"
] | 1,594 | 2016-12-06T08:44:13.000Z | 2022-03-31T12:19:12.000Z | # Copyright 2018 Google Inc.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the ho... | 32.496 | 80 | 0.725012 |
47d546450b40b2715f3b6aa13ff893553735d976 | 5,610 | py | Python | deepar/model/lstm.py | xxddsummer/deepar | 6a5ed632b81db745ffa2957f4c6c8baa7b3a0298 | [
"MIT"
] | null | null | null | deepar/model/lstm.py | xxddsummer/deepar | 6a5ed632b81db745ffa2957f4c6c8baa7b3a0298 | [
"MIT"
] | null | null | null | deepar/model/lstm.py | xxddsummer/deepar | 6a5ed632b81db745ffa2957f4c6c8baa7b3a0298 | [
"MIT"
] | null | null | null | import math
from functools import partial
import logging
from typing import Optional, Union
import numpy as np
from numpy.random import normal
from tensorflow.keras.layers import Dense, Input, LSTM
from tensorflow.keras.models import Model
from tensorflow.keras import backend as K
from tensorflow.keras import callbac... | 32.241379 | 104 | 0.616043 |
3e352c365697d7eaaa6c45a6a5f37b2455a34238 | 157 | py | Python | Desafios/desafio010.py | MaxGabrielima/Python-Codes | 195c13821a937f0b792b0d214d19840d57068279 | [
"MIT"
] | 3 | 2021-07-31T21:10:32.000Z | 2021-11-17T02:21:28.000Z | Desafios/desafio010.py | MaxGabrielima/Python-Codes | 195c13821a937f0b792b0d214d19840d57068279 | [
"MIT"
] | null | null | null | Desafios/desafio010.py | MaxGabrielima/Python-Codes | 195c13821a937f0b792b0d214d19840d57068279 | [
"MIT"
] | null | null | null | D = int(input('Digite seu saldo bancário para conversão: '))
Dol = 5.31
R = (D / Dol)
print('O saldo inserido permite a compra de {:.2f} doláres'.format(R))
| 31.4 | 70 | 0.675159 |
36a4afae859f2cb9bc49033041e476c65ce7b7a4 | 174 | py | Python | trans_ms/transport_management/doctype/transport_expense_account_group/test_transport_expense_account_group.py | mohsinalimat/transport | 3d32bd27f505f64b948f48d0bfc5c7ccaf61c4a2 | [
"MIT"
] | null | null | null | trans_ms/transport_management/doctype/transport_expense_account_group/test_transport_expense_account_group.py | mohsinalimat/transport | 3d32bd27f505f64b948f48d0bfc5c7ccaf61c4a2 | [
"MIT"
] | null | null | null | trans_ms/transport_management/doctype/transport_expense_account_group/test_transport_expense_account_group.py | mohsinalimat/transport | 3d32bd27f505f64b948f48d0bfc5c7ccaf61c4a2 | [
"MIT"
] | null | null | null | # Copyright (c) 2022, Aakvatech Limited and Contributors
# See license.txt
# import frappe
import unittest
class TestTransportExpenseAccountGroup(unittest.TestCase):
pass
| 19.333333 | 58 | 0.810345 |
87636d135dcb1c125eb2f2e6ec2b4adb07b146af | 2,286 | py | Python | test/test_hj_solver.py | LLNL/lestofire | 4c1a871d253c46271e599f4686bd7c92f3fcac94 | [
"MIT"
] | 3 | 2020-12-09T21:14:47.000Z | 2021-07-10T08:25:33.000Z | test/test_hj_solver.py | LLNL/lestofire | 4c1a871d253c46271e599f4686bd7c92f3fcac94 | [
"MIT"
] | 5 | 2021-07-06T16:19:56.000Z | 2021-10-30T17:01:26.000Z | test/test_hj_solver.py | LLNL/letop | 4c1a871d253c46271e599f4686bd7c92f3fcac94 | [
"MIT"
] | 2 | 2021-11-15T23:32:29.000Z | 2022-03-07T06:50:21.000Z | import firedrake as fd
from firedrake.bcs import DirichletBC
from firedrake.interpolation import interpolate
from firedrake import inner
from ufl.algebra import Abs
import pytest
from letop.optimization import (
HamiltonJacobiCGSolver,
)
mesh = fd.UnitSquareMesh(50, 50, quadrilateral=True)
x, y = fd.SpatialCoor... | 24.580645 | 78 | 0.521435 |
9f7c273331462b4c1b7ecd03d6d3215d0865f2cd | 267 | py | Python | CelestePy/util/data/__init__.py | andymiller/CelestePy | b160d54c48af270b799397b435b71c17342d5122 | [
"Apache-2.0"
] | 1 | 2020-04-25T04:12:14.000Z | 2020-04-25T04:12:14.000Z | CelestePy/util/data/__init__.py | andymiller/CelestePy | b160d54c48af270b799397b435b71c17342d5122 | [
"Apache-2.0"
] | null | null | null | CelestePy/util/data/__init__.py | andymiller/CelestePy | b160d54c48af270b799397b435b71c17342d5122 | [
"Apache-2.0"
] | null | null | null | # only expose a few data manipulation functions
from sdss import make_fits_images, tractor_src_to_celestepy_src
from photo import photoobj_to_celestepy_src
from io import load_celeste_dataframe, create_matched_dataset, \
celestedf_row_to_params
| 44.5 | 67 | 0.808989 |
1b704808de5adae8a7587a94c6add74f2a0befbd | 2,371 | py | Python | blog/admin.py | BenoitObelia/Monod-Crush | 3786a3b4d828bb99c0a3b16bcd8d2d5e9004899d | [
"MIT"
] | 2 | 2022-03-31T12:01:49.000Z | 2022-03-31T20:44:47.000Z | blog/admin.py | BenoitObelia/Monod-Crush | 3786a3b4d828bb99c0a3b16bcd8d2d5e9004899d | [
"MIT"
] | 11 | 2022-03-31T16:50:15.000Z | 2022-03-31T21:22:20.000Z | blog/admin.py | BenoitObelia/Monod-Crush | 3786a3b4d828bb99c0a3b16bcd8d2d5e9004899d | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Post, Comment, PostReport, Like
class ReportersInline(admin.TabularInline):
model = PostReport
readonly_fields = ("user", 'created_at')
extra = 0
max_num = 0
verbose_name = "Signalement"
class CommentsInline(admin.TabularInline):
model = ... | 28.22619 | 110 | 0.630536 |
35acee48399bb340505a3527f0471454d25ee9fb | 5,253 | py | Python | project/data/adaptive_resizer_batch.py | LeCongThuong/shopee_template | 34739fac9765f13e98bbd66a71c018f79bfc3baf | [
"Apache-2.0"
] | null | null | null | project/data/adaptive_resizer_batch.py | LeCongThuong/shopee_template | 34739fac9765f13e98bbd66a71c018f79bfc3baf | [
"Apache-2.0"
] | null | null | null | project/data/adaptive_resizer_batch.py | LeCongThuong/shopee_template | 34739fac9765f13e98bbd66a71c018f79bfc3baf | [
"Apache-2.0"
] | null | null | null | import logging
from torch.utils.data import DataLoader, Dataset
import os
import numpy as np
import cv2
import torch
import matplotlib.pyplot as plt
from project.utils import read_csv
logger = logging.getLogger(__name__)
class AdaptiveResizerDataset(Dataset):
def __init__(self, image_dir, csv_annotation_file, t... | 42.024 | 136 | 0.649914 |
784fc5f136b998c34776712b67e49cd191442db9 | 605 | py | Python | python/ideep4py/tests/mm/test_acc_sum.py | cis-ncbj/ideep | b57539e4608e75f80dbc5c2784643d5f2f242003 | [
"MIT"
] | 133 | 2017-10-20T06:45:25.000Z | 2022-03-22T08:27:10.000Z | python/ideep4py/tests/mm/test_acc_sum.py | cis-ncbj/ideep | b57539e4608e75f80dbc5c2784643d5f2f242003 | [
"MIT"
] | 46 | 2018-03-05T06:44:16.000Z | 2021-12-01T03:50:19.000Z | python/ideep4py/tests/mm/test_acc_sum.py | cis-ncbj/ideep | b57539e4608e75f80dbc5c2784643d5f2f242003 | [
"MIT"
] | 78 | 2017-11-05T11:46:31.000Z | 2022-03-28T08:14:52.000Z | import numpy
import ideep4py
x1 = numpy.random.uniform(-1, 1, (3, 16, 2, 4)).astype(numpy.float32)
x2 = numpy.random.uniform(-1, 1, (3, 16, 2, 4)).astype(numpy.float32)
x3 = numpy.random.uniform(-1, 1, (3, 16, 2, 4)).astype(numpy.float32)
x4 = numpy.random.uniform(-1, 1, (3, 16, 2, 4)).astype(numpy.float32)
mx1 = idee... | 31.842105 | 69 | 0.657851 |
beaceda8c3e62138e6ced859286236e14ae3be1f | 1,765 | py | Python | python/data_saving/PARMA/parma.py | Zelenyy/phd-code | d5b8bfefd2418a915dde89f7da2cb6683f438556 | [
"MIT"
] | null | null | null | python/data_saving/PARMA/parma.py | Zelenyy/phd-code | d5b8bfefd2418a915dde89f7da2cb6683f438556 | [
"MIT"
] | null | null | null | python/data_saving/PARMA/parma.py | Zelenyy/phd-code | d5b8bfefd2418a915dde89f7da2cb6683f438556 | [
"MIT"
] | null | null | null | import os
from odf.opendocument import OpenDocumentSpreadsheet
from odf.table import Table, TableColumn, TableRow, TableCell
from odf.text import P
PARMA_DIR = "/home/zelenyy/storage/Загрузки/parma_cpp"
def convert_FFPtable_USO(path):
name = "FFPtable.uso"
table = Table(name=name)
with open(path) as fin... | 28.015873 | 84 | 0.610765 |
26e7cf7bee89df0949eb7325fa8deb5e34a80210 | 622 | py | Python | tests/asymmetric_stdp.py | SocratesNFR/neat-nagi-python | dab506184d464c9e7194c58eb912526d9d080bb2 | [
"MIT"
] | null | null | null | tests/asymmetric_stdp.py | SocratesNFR/neat-nagi-python | dab506184d464c9e7194c58eb912526d9d080bb2 | [
"MIT"
] | null | null | null | tests/asymmetric_stdp.py | SocratesNFR/neat-nagi-python | dab506184d464c9e7194c58eb912526d9d080bb2 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
from matplotlib.ticker import PercentFormatter
from nagi.stdp import *
def plot_stdp(f):
p = ASYMMETRIC_HEBBIAN_PARAMS
x = [i for i in range(-40, 41)]
y = [f(dt, p['a_plus'], p['a_minus'], p['tau_plus'], p['tau_minus']) for dt in range(-40, 41)]
fig = plt.figure()
... | 23.923077 | 98 | 0.659164 |
c65003cb4197738637bfe8916caa999a8a31d935 | 27,391 | py | Python | monitor/generate.py | towoe/riscv-formal | 747798341adba10ecbcbcfbdc3207838966de7f7 | [
"0BSD"
] | 1 | 2021-11-08T19:37:38.000Z | 2021-11-08T19:37:38.000Z | monitor/generate.py | towoe/riscv-formal | 747798341adba10ecbcbcfbdc3207838966de7f7 | [
"0BSD"
] | null | null | null | monitor/generate.py | towoe/riscv-formal | 747798341adba10ecbcbcfbdc3207838966de7f7 | [
"0BSD"
] | null | null | null | #!/usr/bin/env python3
import getopt, sys
from math import log2, ceil
isa = "rv32i"
prefix = None
channels = 1
robdepth = 256
xlen = None
ilen = None
aligned = False
compressed = False
ignore_mem = False
use_assert = False
quiet_mode = False
verbose_mode = False
noregscheck = False
nopccheck = False
def usage():
... | 40.399705 | 174 | 0.551093 |
e563104618de10f02c386203d2e0d456f8bd5d87 | 32,490 | py | Python | edb/pgsql/compiler/dml.py | jankeromnes/edgedb | 40ea3317fe5bfec76d7b46f7b706a4cb8a0d9f94 | [
"Apache-2.0"
] | null | null | null | edb/pgsql/compiler/dml.py | jankeromnes/edgedb | 40ea3317fe5bfec76d7b46f7b706a4cb8a0d9f94 | [
"Apache-2.0"
] | null | null | null | edb/pgsql/compiler/dml.py | jankeromnes/edgedb | 40ea3317fe5bfec76d7b46f7b706a4cb8a0d9f94 | [
"Apache-2.0"
] | null | null | null | #
# This source file is part of the EdgeDB open source project.
#
# Copyright 2008-present MagicStack Inc. and the EdgeDB authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http... | 34.453871 | 78 | 0.625146 |
d297ae52fe7e8754e4ceac91d1712562296420d8 | 505 | py | Python | workflow/scripts/convert_imcfolder.py | ndamond/ImcSegmentationSnakemake | ac003e25f28d162cb8df977c03bb631b9cb6cea5 | [
"MIT"
] | null | null | null | workflow/scripts/convert_imcfolder.py | ndamond/ImcSegmentationSnakemake | ac003e25f28d162cb8df977c03bb631b9cb6cea5 | [
"MIT"
] | null | null | null | workflow/scripts/convert_imcfolder.py | ndamond/ImcSegmentationSnakemake | ac003e25f28d162cb8df977c03bb631b9cb6cea5 | [
"MIT"
] | null | null | null | from imctools.converters import mcdfolder2imcfolder
import pathlib
import traceback
if __name__ == '__main__':
fn_zip = snakemake.input.fn_zip
fol_ome = snakemake.params.fol_ome
try:
mcdfolder2imcfolder.mcdfolder_to_imcfolder(
str(fn_zip), output_folder=str(fol_ome),
create_zip... | 29.705882 | 83 | 0.679208 |
f68684a9fcb72ec27277f505aebdd2408d6041eb | 6,213 | py | Python | graphql/core/utils/build_ast_schema.py | mixcloud/graphql-core | f7629d925d7049556a33328fa84eae9e95c2b819 | [
"MIT"
] | null | null | null | graphql/core/utils/build_ast_schema.py | mixcloud/graphql-core | f7629d925d7049556a33328fa84eae9e95c2b819 | [
"MIT"
] | null | null | null | graphql/core/utils/build_ast_schema.py | mixcloud/graphql-core | f7629d925d7049556a33328fa84eae9e95c2b819 | [
"MIT"
] | 1 | 2019-11-02T03:06:29.000Z | 2019-11-02T03:06:29.000Z | from collections import OrderedDict
from ..language import ast
from ..type import (GraphQLArgument, GraphQLBoolean, GraphQLEnumType,
GraphQLEnumValue, GraphQLField, GraphQLFloat, GraphQLID,
GraphQLInputObjectField, GraphQLInputObjectType,
GraphQLInt, GraphQLI... | 35.913295 | 111 | 0.679865 |
421a5890cb7d4ce8b1e8882d39df5bb8a7302546 | 20,420 | py | Python | src/cogent3/evolve/parameter_controller.py | GavinHuttley/c3test | c5bf7f8252b4f7b75a851e28275536a8c378897a | [
"BSD-3-Clause"
] | null | null | null | src/cogent3/evolve/parameter_controller.py | GavinHuttley/c3test | c5bf7f8252b4f7b75a851e28275536a8c378897a | [
"BSD-3-Clause"
] | null | null | null | src/cogent3/evolve/parameter_controller.py | GavinHuttley/c3test | c5bf7f8252b4f7b75a851e28275536a8c378897a | [
"BSD-3-Clause"
] | 1 | 2020-05-04T02:44:00.000Z | 2020-05-04T02:44:00.000Z | #!/usr/bin/env python
"""
This file defines a class for controlling the scope and heterogeneity of
parameters involved in a maximum-likelihood based tree analysis.
"""
import pickle
import warnings
import numpy
from cogent3.align import dp_calculation
from cogent3.align.pairwise import AlignableSeq
from cogent3.cor... | 34.787053 | 88 | 0.574486 |
189c0aa45cb0c3269500012d43ef1a9a29927860 | 2,094 | py | Python | scripts/play2.py | AlexS28/SABER | 91f74319a41f473b8e8f9eff6b7d9b604b94c7da | [
"BSD-3-Clause"
] | 4 | 2021-10-06T11:06:53.000Z | 2022-03-13T22:00:18.000Z | scripts/play2.py | AlexS28/SABER | 91f74319a41f473b8e8f9eff6b7d9b604b94c7da | [
"BSD-3-Clause"
] | null | null | null | scripts/play2.py | AlexS28/SABER | 91f74319a41f473b8e8f9eff6b7d9b604b94c7da | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
from sabr_pkg.MPC_ugv_Simple import *
import time
import os
"""
Dataset 1: world_dist_testUGV: [9, 10, 0], [0, 10, 0], [0, -10, 0], [-9,-9, 0]
Dataset 2: world_feature_rich: [8,0,0], [7, 8, 0], [-1,6,0], [-7, 4, 0], [-7, 0, 0], [1,-4,0], [6,-4,0], [0,0,0]
Dataset 3/4: world_cube/cylinderUGV: [6,... | 32.71875 | 122 | 0.602197 |
23c8607d0510d1122ac7a3eedecf1c3e6f7e926a | 1,580 | py | Python | salt/runners/doc.py | Noah-Huppert/salt | 998c382f5f2c3b4cbf7d96aa6913ada6993909b3 | [
"Apache-2.0"
] | 19 | 2016-01-29T14:37:52.000Z | 2022-03-30T18:08:01.000Z | salt/runners/doc.py | Noah-Huppert/salt | 998c382f5f2c3b4cbf7d96aa6913ada6993909b3 | [
"Apache-2.0"
] | 223 | 2016-03-02T16:39:41.000Z | 2022-03-03T12:26:35.000Z | salt/runners/doc.py | Noah-Huppert/salt | 998c382f5f2c3b4cbf7d96aa6913ada6993909b3 | [
"Apache-2.0"
] | 64 | 2016-02-04T19:45:26.000Z | 2021-12-15T02:02:31.000Z | # -*- coding: utf-8 -*-
"""
A runner module to collect and display the inline documentation from the
various module types
"""
# Import Python libs
from __future__ import absolute_import, print_function, unicode_literals
import itertools
# Import salt libs
import salt.client
import salt.runner
import salt.wheel
from s... | 19.036145 | 80 | 0.642405 |
cff46cd91f6d243aee7dac4c428af277a1174ed7 | 2,632 | py | Python | examples/mnist_cnn.py | kuantkid/keras | 0b1a1e9761e3283fd5f2f01023dce1d930d75dbc | [
"MIT"
] | null | null | null | examples/mnist_cnn.py | kuantkid/keras | 0b1a1e9761e3283fd5f2f01023dce1d930d75dbc | [
"MIT"
] | null | null | null | examples/mnist_cnn.py | kuantkid/keras | 0b1a1e9761e3283fd5f2f01023dce1d930d75dbc | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import print_function
import numpy as np
np.random.seed(1337) # for reproducibility
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convo... | 34.181818 | 134 | 0.763298 |
f98f16c64f9a08bd83d892d07664ddbc58ccf070 | 3,441 | py | Python | km3pipe/io/clb.py | KM3NeT/km3pipe | e27df0ceea02bcb26d128494a4e1d6a55e2f2e54 | [
"MIT"
] | 1 | 2021-01-26T01:57:56.000Z | 2021-01-26T01:57:56.000Z | km3pipe/io/clb.py | KM3NeT/km3pipe | e27df0ceea02bcb26d128494a4e1d6a55e2f2e54 | [
"MIT"
] | null | null | null | km3pipe/io/clb.py | KM3NeT/km3pipe | e27df0ceea02bcb26d128494a4e1d6a55e2f2e54 | [
"MIT"
] | null | null | null | # Filename: clb.py
"""
Pumps for the CLB data formats.
"""
import struct
from struct import unpack
import numpy as np
from thepipe import Blob, Module
from km3pipe.dataclasses import Table
from km3pipe.sys import ignored
__author__ = "Tamas Gal"
__copyright__ = "Copyright 2016, Tamas Gal and the KM3NeT collaborati... | 27.75 | 84 | 0.577158 |
9abcb0474d73183f5f9e5b3084497960a5233dbd | 1,019 | py | Python | ospy/urls.py | teodoryantcheff/OSPy | 07f44e262383054b276e34d7fc16b3cc10a6d9cf | [
"CC-BY-3.0"
] | 1 | 2018-07-10T18:33:53.000Z | 2018-07-10T18:33:53.000Z | ospy/urls.py | teodoryantcheff/OSPy | 07f44e262383054b276e34d7fc16b3cc10a6d9cf | [
"CC-BY-3.0"
] | null | null | null | ospy/urls.py | teodoryantcheff/OSPy | 07f44e262383054b276e34d7fc16b3cc10a6d9cf | [
"CC-BY-3.0"
] | null | null | null | # !/usr/bin/env python
# -*- coding: utf-8 -*-
# urls is used by web.py. When a GET request is received, the corresponding class is executed.
import api
import plugins
urls = [
'/login', 'ospy.webpages.login_page',
'/logout', 'ospy.webpages.logout_page',
'/', 'ospy.webpages.home_page',
'/action', '... | 29.114286 | 94 | 0.662414 |
9148ed0b839fa85b1f1e8c83943eb3bf5ded74be | 875 | bzl | Python | tools/qt_toolchain.bzl | HarryLong/bazel_rules_qt | 57d8edea1e700cb7f3c5897ad95fe247327c1621 | [
"Apache-2.0"
] | null | null | null | tools/qt_toolchain.bzl | HarryLong/bazel_rules_qt | 57d8edea1e700cb7f3c5897ad95fe247327c1621 | [
"Apache-2.0"
] | 1 | 2022-02-19T17:25:20.000Z | 2022-02-19T17:25:20.000Z | tools/qt_toolchain.bzl | HarryLong/bazel_rules_qt | 57d8edea1e700cb7f3c5897ad95fe247327c1621 | [
"Apache-2.0"
] | null | null | null | QtToolchainInfo = provider(
doc = "Information about how to invoke qt tools.",
fields = ["rcc_path", "uic_path", "moc_path"],
)
def _qt_toolchain_impl(ctx):
toolchain_info = platform_common.ToolchainInfo(
qtinfo = QtToolchainInfo(
rcc_path = ctx.attr.rcc_path,
uic_path = ctx... | 28.225806 | 65 | 0.648 |
291c5c07c098497b27178e8b6bbf91176f0e00a2 | 9,931 | py | Python | src/main/scripts/rna_expression_fastq.py | MysterionRise/fonda | f481ce42f7d037342d08aa864093ae4586d58e8d | [
"Apache-2.0"
] | 3 | 2020-04-12T19:28:40.000Z | 2021-04-16T11:17:32.000Z | src/main/scripts/rna_expression_fastq.py | MysterionRise/fonda | f481ce42f7d037342d08aa864093ae4586d58e8d | [
"Apache-2.0"
] | 67 | 2020-04-16T16:34:40.000Z | 2021-11-15T14:26:17.000Z | src/main/scripts/rna_expression_fastq.py | MysterionRise/fonda | f481ce42f7d037342d08aa864093ae4586d58e8d | [
"Apache-2.0"
] | 2 | 2020-11-03T19:28:30.000Z | 2021-11-15T14:33:38.000Z | # Copyright 2017-2021 Sanofi and EPAM Systems, Inc. (https://www.epam.com/)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 49.655 | 124 | 0.558755 |
434c3aae3d5690fa3f702d5668dca5a16066e63e | 862 | py | Python | calliope_app/taskmeta/models.py | NREL/engage | c25bacc1e98f84671ba0c0e53fc98bace090a4d8 | [
"BSD-3-Clause"
] | 3 | 2021-01-25T18:13:00.000Z | 2021-04-30T12:17:42.000Z | calliope_app/taskmeta/models.py | NREL/engage | c25bacc1e98f84671ba0c0e53fc98bace090a4d8 | [
"BSD-3-Clause"
] | 8 | 2020-12-11T22:28:17.000Z | 2022-03-05T02:08:27.000Z | calliope_app/taskmeta/models.py | NREL/engage | c25bacc1e98f84671ba0c0e53fc98bace090a4d8 | [
"BSD-3-Clause"
] | 1 | 2021-09-15T22:15:12.000Z | 2021-09-15T22:15:12.000Z | from django.db import models
from django.contrib.postgres import fields
from celery import states
CELERY_TASK_STATE_CHOICES = sorted(zip(states.ALL_STATES, states.ALL_STATES))
class CeleryTask(models.Model):
"""
Celery Task Class
"""
class Meta:
db_table = "celery_task"
verbose_name_p... | 34.48 | 103 | 0.729698 |
b292ee7ad01c3a748a99cd200caaffdaf628d205 | 5,035 | py | Python | src/models.py | aaronzlim/coda | e2bffe5034ff710ce1f2c65404cb58bbdc88d71c | [
"MIT"
] | null | null | null | src/models.py | aaronzlim/coda | e2bffe5034ff710ce1f2c65404cb58bbdc88d71c | [
"MIT"
] | null | null | null | src/models.py | aaronzlim/coda | e2bffe5034ff710ce1f2c65404cb58bbdc88d71c | [
"MIT"
] | null | null | null | # TODO: Module docstring
import csv
from dataclasses import dataclass
from datetime import datetime, time, timedelta, timezone
from enum import IntEnum
from math import modf, floor
from pathlib import Path
import pytz
import xml.etree.ElementTree as ET
# CONSTANTS #
GPX_TIME_FORMAT = '%Y-%m-%dT%H:%M:%SZ'
GPX_TIMEZON... | 33.791946 | 142 | 0.594836 |
f99f280d573b12a81f8f3402af64b0a839e311f6 | 31,497 | py | Python | tests/test_integration.py | wikar/neural_prophet | bf1da13980f418f8465faf4b938ee9f6b3caab6b | [
"MIT"
] | null | null | null | tests/test_integration.py | wikar/neural_prophet | bf1da13980f418f8465faf4b938ee9f6b3caab6b | [
"MIT"
] | null | null | null | tests/test_integration.py | wikar/neural_prophet | bf1da13980f418f8465faf4b938ee9f6b3caab6b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# import pytest
import os
import pathlib
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import logging
import math
import torch
from neuralprophet import NeuralProphet, set_random_seed
from neuralprophet import df_utils
log = logging.getLogger("NP.test")
log.setLevel("W... | 35.710884 | 118 | 0.613297 |
a1380901c2965109a8b6a39e3c4e06ebf52c5964 | 1,724 | py | Python | thedigger/pipelines.py | bolaum/thedigger | a62d6505c9912e5a18a2310f9247b9d80095c433 | [
"MIT"
] | 5 | 2017-06-09T18:38:02.000Z | 2020-10-29T13:35:50.000Z | thedigger/pipelines.py | bolaum/thedigger | a62d6505c9912e5a18a2310f9247b9d80095c433 | [
"MIT"
] | null | null | null | thedigger/pipelines.py | bolaum/thedigger | a62d6505c9912e5a18a2310f9247b9d80095c433 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import os
from scrapy.exporters import JsonItemExporter
from scrapy.exceptions import DropItem
class JsonWriterPipeline(object... | 29.724138 | 92 | 0.559745 |
91d1fe87a90f919fce5d31859492df2243a1390f | 8,147 | py | Python | translation/tests/test_content_translation_import.py | pg-irc/pathways-backend | 05a8c4e750523d2d081b030a248c5444d1ed7992 | [
"BSD-3-Clause"
] | 12 | 2017-08-30T18:21:00.000Z | 2021-12-09T04:04:17.000Z | translation/tests/test_content_translation_import.py | pg-irc/pathways-backend | 05a8c4e750523d2d081b030a248c5444d1ed7992 | [
"BSD-3-Clause"
] | 424 | 2017-08-08T18:32:14.000Z | 2022-03-30T21:42:51.000Z | translation/tests/test_content_translation_import.py | pg-irc/pathways-backend | 05a8c4e750523d2d081b030a248c5444d1ed7992 | [
"BSD-3-Clause"
] | 7 | 2017-09-29T21:14:37.000Z | 2019-12-30T21:07:37.000Z | from django.core.management import CommandError, call_command
from django.test import TestCase
from human_services.organizations.tests.helpers import OrganizationBuilder
from translation.tests.helpers import add_base_translation, add_translation
from tempfile import NamedTemporaryFile, TemporaryDirectory
import io
imp... | 40.735 | 140 | 0.686019 |
ab9bbc2d7d6ffbbf77f8b72dfe8a9d0641b2eda7 | 2,436 | py | Python | cryptodataaccess/Repository.py | athanikos/cryptodataaccess | 6189a44c65a9b03c02822a534e865740ab488809 | [
"MIT"
] | null | null | null | cryptodataaccess/Repository.py | athanikos/cryptodataaccess | 6189a44c65a9b03c02822a534e865740ab488809 | [
"MIT"
] | null | null | null | cryptodataaccess/Repository.py | athanikos/cryptodataaccess | 6189a44c65a9b03c02822a534e865740ab488809 | [
"MIT"
] | null | null | null | from cryptomodel.operations import OPERATIONS
MEMORY_HANDLED_ATTRIBUTE_NAME = "memory_handled"
class Repository:
def __init__(self):
self.memories = {}
def commit(self):
for key, mem in self.memories.items():
self.remove_handled_items(mem.items)
for item in mem.item... | 38.666667 | 111 | 0.559934 |
111cf3c48ca49bbc689c2683e44c8619b2aac1d5 | 3,608 | py | Python | baselutils/mykgutils.py | basels/mykgutils | 8dc4cdc295fb53f1b16b9485929bffd8fef42fc2 | [
"MIT"
] | null | null | null | baselutils/mykgutils.py | basels/mykgutils | 8dc4cdc295fb53f1b16b9485929bffd8fef42fc2 | [
"MIT"
] | null | null | null | baselutils/mykgutils.py | basels/mykgutils | 8dc4cdc295fb53f1b16b9485929bffd8fef42fc2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from datetime import timedelta
from os import listdir
from regex import sub as rx_sub
from requests import get
from subprocess import check_output
from sys import stdout
from time import time
from hashlib import md5
CC_RED = 91
CC_GREEN = 92
CC_YELLOW = 93
CC_LIGHTBLUE = 94
CC_PURPLE = 35
CC_C... | 32.214286 | 100 | 0.601996 |
fdcddf7b562fdd41f2f16db06f5406a4615960d7 | 2,669 | py | Python | var/spack/repos/builtin/packages/pkgconf/package.py | klevzoff/spack | 396936d24173254ecf4148bc460702185e4c99e5 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 1 | 2020-10-08T06:16:50.000Z | 2020-10-08T06:16:50.000Z | var/spack/repos/builtin/packages/pkgconf/package.py | klevzoff/spack | 396936d24173254ecf4148bc460702185e4c99e5 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 17 | 2019-03-21T15:54:00.000Z | 2022-03-29T19:34:28.000Z | var/spack/repos/builtin/packages/pkgconf/package.py | klevzoff/spack | 396936d24173254ecf4148bc460702185e4c99e5 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2021-04-07T18:27:09.000Z | 2022-03-31T22:52:38.000Z | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Pkgconf(AutotoolsPackage):
"""pkgconf is a program which helps to configure compiler and l... | 41.061538 | 96 | 0.719745 |
c1066c60df9be16865775d43d3221b254b75f68d | 28,523 | py | Python | __init__.py | senjacob/retopoflow | 7817bb7d68f98e5ae2c7835f28eeafe76367789e | [
"OML"
] | null | null | null | __init__.py | senjacob/retopoflow | 7817bb7d68f98e5ae2c7835f28eeafe76367789e | [
"OML"
] | null | null | null | __init__.py | senjacob/retopoflow | 7817bb7d68f98e5ae2c7835f28eeafe76367789e | [
"OML"
] | null | null | null | '''
Copyright (C) 2021 CG Cookie
http://cgcookie.com
hello@cgcookie.com
Created by Jonathan Denning, Jonathan Williamson, and Patrick Moore
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation... | 43.546565 | 173 | 0.64001 |
98747070b6e14e88ec1fc3ed2000741ffc28fd58 | 16,445 | py | Python | siphon/tests/test_catalog.py | DanielWatkins/siphon | 4c6740c2f8030ec1a23cafd8b8b9713dcd382cb2 | [
"BSD-3-Clause"
] | 164 | 2015-05-25T22:28:38.000Z | 2022-02-07T11:09:16.000Z | siphon/tests/test_catalog.py | DanielWatkins/siphon | 4c6740c2f8030ec1a23cafd8b8b9713dcd382cb2 | [
"BSD-3-Clause"
] | 369 | 2015-05-20T17:03:38.000Z | 2022-03-24T15:29:59.000Z | siphon/tests/test_catalog.py | DanielWatkins/siphon | 4c6740c2f8030ec1a23cafd8b8b9713dcd382cb2 | [
"BSD-3-Clause"
] | 79 | 2015-05-15T19:31:34.000Z | 2021-06-27T20:34:38.000Z | # Copyright (c) 2013-2019 Siphon Contributors.
# Distributed under the terms of the BSD 3-Clause License.
# SPDX-License-Identifier: BSD-3-Clause
"""Test the catalog access API."""
from datetime import datetime
import logging
import pytest
from siphon.catalog import get_latest_access_url, TDSCatalog
from siphon.test... | 41.1125 | 95 | 0.674916 |
afe409a3fc7f083d0f7c8c84519e628830c0f03d | 2,034 | py | Python | examples/dfp/v201802/content_metadata_key_hierarchy_service/get_all_content_metadata_key_hierarchies.py | stelaxi/googleads-python-lib | 7830f303a63217e7c7190f9b085bce9c4f677727 | [
"Apache-2.0"
] | 1 | 2018-06-25T18:44:30.000Z | 2018-06-25T18:44:30.000Z | examples/dfp/v201802/content_metadata_key_hierarchy_service/get_all_content_metadata_key_hierarchies.py | stelaxi/googleads-python-lib | 7830f303a63217e7c7190f9b085bce9c4f677727 | [
"Apache-2.0"
] | null | null | null | examples/dfp/v201802/content_metadata_key_hierarchy_service/get_all_content_metadata_key_hierarchies.py | stelaxi/googleads-python-lib | 7830f303a63217e7c7190f9b085bce9c4f677727 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 36.321429 | 78 | 0.72763 |
1f33fcd041a388012db33d6093e8a5b7b53228ce | 9,198 | py | Python | troposphere/environment.py | wimpy/environment | 4af25db10213e461e4697abbe24dbb40cde18664 | [
"MIT"
] | 2 | 2017-05-25T06:43:16.000Z | 2017-11-02T08:49:30.000Z | troposphere/environment.py | wimpy/environment | 4af25db10213e461e4697abbe24dbb40cde18664 | [
"MIT"
] | 3 | 2017-05-08T15:41:28.000Z | 2017-05-12T10:14:53.000Z | troposphere/environment.py | wimpy/environment | 4af25db10213e461e4697abbe24dbb40cde18664 | [
"MIT"
] | 1 | 2017-06-26T10:07:53.000Z | 2017-06-26T10:07:53.000Z | import sys
from troposphere import Join, Output
from troposphere import Ref, Tags, Template
from troposphere.ec2 import InternetGateway
from troposphere.ec2 import Route
from troposphere.ec2 import RouteTable
from troposphere.ec2 import Subnet
from troposphere.ec2 import SubnetRouteTableAssociation
from troposphere.ec2... | 27.293769 | 101 | 0.657426 |
435978f8576293df4a54e60be8ec42bec5606cfa | 2,201 | py | Python | features/idfextraction/cosine_similarity.py | yy2111/iSPY | 454ed4ec6a18b9e2dd3e13114b1263760054401e | [
"MIT"
] | 3 | 2022-03-05T22:12:41.000Z | 2022-03-09T08:45:53.000Z | features/idfextraction/cosine_similarity.py | yy2111/iSPY | 454ed4ec6a18b9e2dd3e13114b1263760054401e | [
"MIT"
] | null | null | null | features/idfextraction/cosine_similarity.py | yy2111/iSPY | 454ed4ec6a18b9e2dd3e13114b1263760054401e | [
"MIT"
] | 2 | 2021-09-22T09:32:15.000Z | 2022-03-04T02:45:09.000Z | import math
from collections import Counter
from features.data_helper import tokenizer
from pprint import pprint
from copy import deepcopy
def compute_tf_idf_cosine(q1, q2, term_to_idf_dict):
q1_term_count = Counter(q1)
q2_term_count = Counter(q2)
idf = 10.8983491402 # default value
for t in q1_term_c... | 33.861538 | 99 | 0.706951 |
65d97cae3546e56107c196f3951a655897925a5d | 4,769 | py | Python | classifier_utils.py | csarron/xlnet | d7b9809c40c94fd9d4512d5be74f4dde753359d3 | [
"Apache-2.0"
] | null | null | null | classifier_utils.py | csarron/xlnet | d7b9809c40c94fd9d4512d5be74f4dde753359d3 | [
"Apache-2.0"
] | null | null | null | classifier_utils.py | csarron/xlnet | d7b9809c40c94fd9d4512d5be74f4dde753359d3 | [
"Apache-2.0"
] | null | null | null | from absl import flags
from data_utils import CLS_ID
from data_utils import SEP_ID
from util import logger
FLAGS = flags.FLAGS
SEG_ID_A = 0
SEG_ID_B = 1
SEG_ID_CLS = 2
SEG_ID_SEP = 3
SEG_ID_PAD = 4
class PaddingInputExample(object):
"""Fake example so the num input examples is a multiple of the batch size.
... | 32.889655 | 82 | 0.640176 |
01590ee3221e95eab12815b3fba17a6fa7f02f0b | 5,928 | py | Python | dash/html/Nextid.py | FutureSenzhong/dash | 5647abee42ed0844441c598b8329c029d8a3c497 | [
"MIT"
] | 1 | 2021-09-06T09:46:35.000Z | 2021-09-06T09:46:35.000Z | dash/html/Nextid.py | FutureSenzhong/dash | 5647abee42ed0844441c598b8329c029d8a3c497 | [
"MIT"
] | null | null | null | dash/html/Nextid.py | FutureSenzhong/dash | 5647abee42ed0844441c598b8329c029d8a3c497 | [
"MIT"
] | null | null | null | # AUTO GENERATED FILE - DO NOT EDIT
from dash.development.base_component import Component, _explicitize_args
class Nextid(Component):
"""A Nextid component.
Nextid is a wrapper for the <nextid> HTML5 element.
OBSOLETE: <nextid> is included for completeness, but should be avoided
as it is not support... | 31.870968 | 84 | 0.597503 |
6edf7f472ab9fad83703f0b1a7e48cc2e0a9face | 763 | py | Python | recipes/api/migrations/0003_auto_20210105_2149.py | veeso/recipe-website | 6eb3151906ea1121adfc72de9543dcb37659b90c | [
"Unlicense"
] | null | null | null | recipes/api/migrations/0003_auto_20210105_2149.py | veeso/recipe-website | 6eb3151906ea1121adfc72de9543dcb37659b90c | [
"Unlicense"
] | null | null | null | recipes/api/migrations/0003_auto_20210105_2149.py | veeso/recipe-website | 6eb3151906ea1121adfc72de9543dcb37659b90c | [
"Unlicense"
] | null | null | null | # Generated by Django 3.1.5 on 2021-01-05 21:49
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0002_auto_20210105_1622'),
]
operations = [
migrations.AlterField(
model_name='recipeing... | 30.52 | 139 | 0.652687 |
fef247bf91cccede94202fc27ba08f8ce641f40c | 1,604 | py | Python | dolo/compiler/objects.py | Filhagosa/dolo | 384a7b144f925e4edf149abf9828b16e1a0f8798 | [
"BSD-2-Clause"
] | null | null | null | dolo/compiler/objects.py | Filhagosa/dolo | 384a7b144f925e4edf149abf9828b16e1a0f8798 | [
"BSD-2-Clause"
] | null | null | null | dolo/compiler/objects.py | Filhagosa/dolo | 384a7b144f925e4edf149abf9828b16e1a0f8798 | [
"BSD-2-Clause"
] | null | null | null | from dolo.numeric.processes_iid import *
#
from dataclasses import dataclass
from dolo.compiler.language import language_element
# not sure we'll keep that
import numpy as np
from typing import List, Union
Scalar = Union[int, float]
# not really a language element though
# @language_element
class Domain(dict):
de... | 19.560976 | 68 | 0.645885 |
41e4875c8f92ef709b63447bd3096b4ac65173b2 | 263 | py | Python | amino/tc/tap.py | tek/amino | 51b314933e047a45587a24ecff02c836706d27ff | [
"MIT"
] | 33 | 2016-12-21T07:05:46.000Z | 2020-04-29T04:26:46.000Z | amino/tc/tap.py | tek/amino | 51b314933e047a45587a24ecff02c836706d27ff | [
"MIT"
] | 1 | 2019-04-19T17:15:52.000Z | 2019-04-20T18:28:23.000Z | amino/tc/tap.py | tek/amino | 51b314933e047a45587a24ecff02c836706d27ff | [
"MIT"
] | 4 | 2017-09-04T18:46:23.000Z | 2021-11-02T04:18:13.000Z | from typing import TypeVar, Generic, Callable, Any
from amino.tc.base import TypeClass
A = TypeVar('A')
B = TypeVar('B')
class Tap(Generic[A], TypeClass):
def tap(self, a: A, f: Callable[[A], Any]) -> A:
f(a)
return a
__all__ = ('Tap',)
| 16.4375 | 52 | 0.604563 |
64a3e06ebbd5df1023108e1ac2127bb2b50797f7 | 13,718 | py | Python | packages/python/plotly/plotly/validators/_scattermapbox.py | TitouenDCL/plotly.py | 0c98391f575dab0e3f08ede907045cc72b3d40a4 | [
"MIT"
] | 11,750 | 2015-10-12T07:03:39.000Z | 2022-03-31T20:43:15.000Z | packages/python/plotly/plotly/validators/_scattermapbox.py | TitouenDCL/plotly.py | 0c98391f575dab0e3f08ede907045cc72b3d40a4 | [
"MIT"
] | 2,951 | 2015-10-12T00:41:25.000Z | 2022-03-31T22:19:26.000Z | packages/python/plotly/plotly/validators/_scattermapbox.py | TitouenDCL/plotly.py | 0c98391f575dab0e3f08ede907045cc72b3d40a4 | [
"MIT"
] | 2,623 | 2015-10-15T14:40:27.000Z | 2022-03-28T16:05:50.000Z | import _plotly_utils.basevalidators
class ScattermapboxValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="scattermapbox", parent_name="", **kwargs):
super(ScattermapboxValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_nam... | 48.818505 | 78 | 0.546508 |
896d358940cdc62763ab86e56652bcb68099417d | 3,058 | py | Python | utils.py | katiekeel/macprefs | 1d8e7cd3ebf2be43db34bd2cb9daec62a7ade321 | [
"MIT"
] | null | null | null | utils.py | katiekeel/macprefs | 1d8e7cd3ebf2be43db34bd2cb9daec62a7ade321 | [
"MIT"
] | null | null | null | utils.py | katiekeel/macprefs | 1d8e7cd3ebf2be43db34bd2cb9daec62a7ade321 | [
"MIT"
] | null | null | null | from subprocess import CalledProcessError, check_output, STDOUT
import logging as log
def execute_shell(command, is_shell=False, cwd='.', suppress_errors=False):
output = ''
log.debug('\n--- executing shell command ----\n')
log.debug('setting working dir to: ' + cwd)
log.debug('command: ' + str(comman... | 28.849057 | 75 | 0.637999 |
478dd4f5e5f1373c1cfb841521a80ccf2972e2d4 | 993 | py | Python | examples/imagenet_featadvs/model.py | luvrpg/cleverhans | 1f2ee7a04cff1ec54c96dcba5294f6e2d7780d42 | [
"MIT"
] | 3 | 2019-07-10T14:34:45.000Z | 2022-01-28T17:23:39.000Z | examples/imagenet_featadvs/model.py | luvrpg/cleverhans | 1f2ee7a04cff1ec54c96dcba5294f6e2d7780d42 | [
"MIT"
] | null | null | null | examples/imagenet_featadvs/model.py | luvrpg/cleverhans | 1f2ee7a04cff1ec54c96dcba5294f6e2d7780d42 | [
"MIT"
] | 2 | 2020-02-16T05:09:59.000Z | 2020-12-13T20:19:20.000Z | from cleverhans_tutorials.tutorial_models import Conv2D
from cleverhans_tutorials.tutorial_models import ReLU
from cleverhans_tutorials.tutorial_models import Flatten
from cleverhans_tutorials.tutorial_models import Linear
from cleverhans_tutorials.tutorial_models import Softmax
from cleverhans_tutorials.tutorial_model... | 33.1 | 56 | 0.551863 |
d4d4f477d1ff7372087a5458cb1f385930139403 | 12,926 | py | Python | excelexporters/virtualmetercost.py | 823914102/myems-api | 4684aa71266a4f7ec93f7a9ebc08cbccd2e9bca3 | [
"MIT"
] | null | null | null | excelexporters/virtualmetercost.py | 823914102/myems-api | 4684aa71266a4f7ec93f7a9ebc08cbccd2e9bca3 | [
"MIT"
] | null | null | null | excelexporters/virtualmetercost.py | 823914102/myems-api | 4684aa71266a4f7ec93f7a9ebc08cbccd2e9bca3 | [
"MIT"
] | null | null | null | import base64
import uuid
import os
from openpyxl.chart import (
BarChart,
Reference,
Series
)
from openpyxl.styles import PatternFill, Border, Side, Alignment, Font
from openpyxl.drawing.image import Image
from openpyxl import Workbook
from openpyxl.chart.label import DataLabelList
######################... | 37.358382 | 120 | 0.509361 |
5840b6f8e69a7694e3da89212a9de2f27c0abc59 | 1,716 | py | Python | demo_nodes_py/setup.py | ori155/demos | 965036fe043fc1443de01e40b10317e84b5d7c93 | [
"Apache-2.0"
] | null | null | null | demo_nodes_py/setup.py | ori155/demos | 965036fe043fc1443de01e40b10317e84b5d7c93 | [
"Apache-2.0"
] | null | null | null | demo_nodes_py/setup.py | ori155/demos | 965036fe043fc1443de01e40b10317e84b5d7c93 | [
"Apache-2.0"
] | null | null | null | from setuptools import find_packages
from setuptools import setup
package_name = 'demo_nodes_py'
setup(
name=package_name,
version='0.17.0',
packages=find_packages(exclude=['test']),
data_files=[
('share/ament_index/resource_index/packages',
['resource/' + package_name]),
(... | 36.510638 | 96 | 0.660839 |
655c493a534cea5fcabcf1de561e70bf5b982932 | 2,805 | py | Python | utils/scenes/Rubik_Cube_Scene.py | huky643/manim_sandbox | 397c8857145f371aeeca611e5e65c60083758d0c | [
"MIT"
] | 2 | 2021-02-27T04:30:08.000Z | 2021-10-06T06:06:32.000Z | utils/scenes/Rubik_Cube_Scene.py | huky643/manim_sandbox | 397c8857145f371aeeca611e5e65c60083758d0c | [
"MIT"
] | null | null | null | utils/scenes/Rubik_Cube_Scene.py | huky643/manim_sandbox | 397c8857145f371aeeca611e5e65c60083758d0c | [
"MIT"
] | 1 | 2021-02-27T04:30:09.000Z | 2021-02-27T04:30:09.000Z | # from @cigar666
from manimlib.imports import *
from manim_sandbox.utils.mobjects.Rubik_Cube import *
class Rubik_Scene(ThreeDScene):
CONFIG = {
'order': 3,
'size': 4.2,
'camera_init': {
'phi': 52.5 * DEGREES,
'gamma': 0,
'theta': -45 * DEGREES,
... | 31.516854 | 135 | 0.565062 |
8274d69510ba27664ff489bbcd5e429cb2e23e7d | 1,244 | py | Python | utils/aggregate_results.py | canary-for-cognition/multimodal-dl-framework | 54ebd3c6dcdfc48ed619316321d9f0e7a5f0fc9c | [
"MIT"
] | 2 | 2021-08-31T08:58:30.000Z | 2021-09-02T14:32:30.000Z | utils/aggregate_results.py | canary-for-cognition/multimodal-nn-framework | 7733376b05840e2b3dead438dd3981db9694b6ae | [
"MIT"
] | 5 | 2020-09-22T04:29:25.000Z | 2020-12-20T16:16:47.000Z | utils/aggregate_results.py | canary-for-cognition/multimodal-nn-framework | 7733376b05840e2b3dead438dd3981db9694b6ae | [
"MIT"
] | 1 | 2021-02-09T18:40:55.000Z | 2021-02-09T18:40:55.000Z | import json
import os
import pandas as pd
def main():
target_experiment = "5_iterations_10_folds_vtnet_blank_heatmaps_base_1"
path_to_experiment = os.path.join("results_postprocessing", "..", "classifier", "experiments", "highlights",
target_experiment)
path_to_aggre... | 41.466667 | 112 | 0.673633 |
70554f5a49e4b25ef8fa275fbc08dbff140ea49d | 3,509 | py | Python | src/reloadex/reloader.py | iljau/reloadex | 829b173e65408a54acca36caefbfcfa5f645d8b1 | [
"MIT"
] | 1 | 2019-10-08T04:22:41.000Z | 2019-10-08T04:22:41.000Z | src/reloadex/reloader.py | iljau/reloadex | 829b173e65408a54acca36caefbfcfa5f645d8b1 | [
"MIT"
] | null | null | null | src/reloadex/reloader.py | iljau/reloadex | 829b173e65408a54acca36caefbfcfa5f645d8b1 | [
"MIT"
] | null | null | null | import argparse
import os
import sys
from pathspec import PathSpec
from reloadex.common.utils_reloader import LaunchParams
DEFAULT_RELOADIGNORE = """
# Ignore everything ..
*
*/
# .. except *.py files
!*.py
"""
class Reloader:
def __init__(self, platform_reloader, working_directory, argparse_args):
se... | 31.330357 | 126 | 0.676261 |
b806a1f2c5f4419a5a953a46e8051af5a67db282 | 2,452 | py | Python | litebot/utils/logging.py | rybot666/LiteBot | 9598c021a59ee7983a1515c54a6cbc43bfcb5eb9 | [
"MIT"
] | 22 | 2020-10-18T22:36:51.000Z | 2022-03-27T07:49:25.000Z | litebot/utils/logging.py | rybot666/LiteBot | 9598c021a59ee7983a1515c54a6cbc43bfcb5eb9 | [
"MIT"
] | 8 | 2021-07-14T06:46:47.000Z | 2021-08-17T06:09:52.000Z | litebot/utils/logging.py | rybot666/LiteBot | 9598c021a59ee7983a1515c54a6cbc43bfcb5eb9 | [
"MIT"
] | 7 | 2021-05-04T16:56:19.000Z | 2021-10-12T05:44:31.000Z | import logging
import os
import datetime
from datetime import datetime
LOG_DIR_NAME = "logs"
LOG_FORMAT = "%(asctime)s [%(threadName)s/%(levelname)s]: %(message)s"
TIME_FORMAT = "%m-%d-%y %H-%M-%S"
log_fmt = logging.Formatter(LOG_FORMAT)
stream_handler = logging.StreamHandler()
file_handler = logging.FileHandler(
... | 29.902439 | 112 | 0.71615 |
b2606e61a7f1ffe70e31a88b33b4df3bdf386449 | 16,525 | py | Python | saraki/auth.py | lucmichalski/saraki | 74c11f70b4e7bdedfd33984cb96944c27a4eebbf | [
"MIT"
] | 3 | 2020-07-01T17:34:39.000Z | 2021-05-04T17:53:01.000Z | saraki/auth.py | lucmichalski/saraki | 74c11f70b4e7bdedfd33984cb96944c27a4eebbf | [
"MIT"
] | 25 | 2018-01-25T00:56:18.000Z | 2021-06-12T04:29:00.000Z | saraki/auth.py | lucmichalski/saraki | 74c11f70b4e7bdedfd33984cb96944c27a4eebbf | [
"MIT"
] | 4 | 2020-04-19T21:24:34.000Z | 2021-01-23T19:04:27.000Z | """
saraki.auth
~~~~~~~~~~~
"""
import jwt
from functools import wraps
from datetime import datetime
from cerberus import Validator
from flask import request, current_app, jsonify, abort, _request_ctx_stack
from werkzeug.routing import BaseConverter
from werkzeug.local import LocalProxy
from .utility import ... | 26.826299 | 88 | 0.650408 |
8fb0f64e095d6bdb137693fee202fbe734d92e26 | 2,510 | py | Python | django/utils/timesince.py | pomarec/django | 98514849dce07acfaa224a90a784bba9d97249e5 | [
"BSD-3-Clause"
] | 285 | 2019-12-23T09:50:21.000Z | 2021-12-08T09:08:49.000Z | django/utils/timesince.py | pomarec/django | 98514849dce07acfaa224a90a784bba9d97249e5 | [
"BSD-3-Clause"
] | 18 | 2015-01-14T07:51:48.000Z | 2021-10-14T01:19:26.000Z | django/utils/timesince.py | pomarec/django | 98514849dce07acfaa224a90a784bba9d97249e5 | [
"BSD-3-Clause"
] | 70 | 2015-01-01T00:33:24.000Z | 2021-12-10T03:43:07.000Z | from __future__ import unicode_literals
import datetime
from django.utils.html import avoid_wrapping
from django.utils.timezone import is_aware, utc
from django.utils.translation import ugettext, ungettext_lazy
def timesince(d, now=None, reversed=False):
"""
Takes two datetime objects and returns the time be... | 38.615385 | 101 | 0.632669 |
feafb417a4173159c11aa36fbafe3233df84b7cd | 198 | py | Python | arekit/common/news/parsed/providers/base.py | nicolay-r/AREkit | e2478fbd2041e70f906f68f62c9234a4e46b9eba | [
"MIT"
] | 18 | 2019-12-14T18:43:11.000Z | 2022-03-21T05:55:36.000Z | arekit/common/news/parsed/providers/base.py | nicolay-r/AREkit | e2478fbd2041e70f906f68f62c9234a4e46b9eba | [
"MIT"
] | 284 | 2020-08-08T20:52:44.000Z | 2022-03-31T05:26:20.000Z | arekit/common/news/parsed/providers/base.py | nicolay-r/AREkit | e2478fbd2041e70f906f68f62c9234a4e46b9eba | [
"MIT"
] | 1 | 2021-08-07T13:17:43.000Z | 2021-08-07T13:17:43.000Z | class BaseParsedNewsServiceProvider(object):
@property
def Name(self):
raise NotImplementedError()
def init_parsed_news(self, parsed_news):
raise NotImplementedError()
| 22 | 44 | 0.712121 |
cf896735bbf0e0e8bff0a318bbbfc886dc5c2a79 | 623 | py | Python | src/migrations/0001_initial.py | Stephen-Kamau/simple_blog-backend | af64132d66010b718b83ab03c45ef36df9abbda1 | [
"MIT"
] | null | null | null | src/migrations/0001_initial.py | Stephen-Kamau/simple_blog-backend | af64132d66010b718b83ab03c45ef36df9abbda1 | [
"MIT"
] | 7 | 2021-03-30T14:16:11.000Z | 2022-03-12T00:49:50.000Z | src/migrations/0001_initial.py | Stephen-Kamau/simple_blog-backend | af64132d66010b718b83ab03c45ef36df9abbda1 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.7 on 2020-07-12 20:07
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Todo',
fields=[
('id', models.AutoField(aut... | 23.961538 | 114 | 0.536116 |
89ed57561abbb32dfb46253e450d5f934dd8706c | 12,213 | py | Python | Funciones/readViconCsv.py | joselvira/BiomecanicaPython | 6c03f57fc103419c4b95858a35163cf658c0e29b | [
"MIT"
] | 1 | 2021-09-10T14:32:16.000Z | 2021-09-10T14:32:16.000Z | Funciones/readViconCsv.py | joselvira/BiomecanicaPython | 6c03f57fc103419c4b95858a35163cf658c0e29b | [
"MIT"
] | null | null | null | Funciones/readViconCsv.py | joselvira/BiomecanicaPython | 6c03f57fc103419c4b95858a35163cf658c0e29b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 17 13:05:37 2019
@author: josel
"""
from __future__ import division, print_function
"""Lee archivos de datos exportados del Vicon Nexus"""
import numpy as np
import pandas as pd
import xarray as xr
#import scipy.signal
__author__ = 'Jose Luis Lopez Elvir... | 43.003521 | 194 | 0.634897 |
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