hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 11
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 251 | max_stars_repo_name stringlengths 4 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 251 | max_issues_repo_name stringlengths 4 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 251 | max_forks_repo_name stringlengths 4 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.05M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.04M | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
576acce6fb8aee36735ff671a49a541abb4f2890 | 750 | py | Python | setup.py | ksachdeva/symbulate | 409188680c599622140ff6c984c95703173472e8 | [
"MIT"
] | 25 | 2017-04-04T01:55:22.000Z | 2022-03-28T17:57:49.000Z | setup.py | ksachdeva/symbulate | 409188680c599622140ff6c984c95703173472e8 | [
"MIT"
] | 67 | 2017-06-27T23:32:29.000Z | 2022-01-15T19:57:28.000Z | setup.py | ksachdeva/symbulate | 409188680c599622140ff6c984c95703173472e8 | [
"MIT"
] | 21 | 2017-04-04T01:55:22.000Z | 2022-01-11T20:03:52.000Z | from setuptools import setup, find_packages
setup(
name="symbulate",
version="0.5.5",
description="A symbolic algebra for specifying simulations.",
url="https://github.com/dlsun/symbulate",
author="Dennis Sun",
author_email="dsun09@calpoly.edu",
license="GPLv3",
classifiers=[
... | 22.058824 | 75 | 0.612 |
576b51feddb0ad573026e5dec3bf36423cf565ad | 833 | py | Python | snakemake/scripts/pipeline/gc.py | BDI-pathogens/ShiverCovid | a032a7a786288b28994eae51215e7851f7571018 | [
"MIT"
] | null | null | null | snakemake/scripts/pipeline/gc.py | BDI-pathogens/ShiverCovid | a032a7a786288b28994eae51215e7851f7571018 | [
"MIT"
] | null | null | null | snakemake/scripts/pipeline/gc.py | BDI-pathogens/ShiverCovid | a032a7a786288b28994eae51215e7851f7571018 | [
"MIT"
] | null | null | null | from __future__ import print_function
import gzip
import os
import sys
from decimal import Decimal
if __name__ == '__main__':
if not len(sys.argv) > 1 or not os.path.isfile(sys.argv[1]):
sys.stderr.write('Usage: gc.py <fastq[.gz] file with no blank lines>\n')
sys.exit(1)
gc, ttl = calculate_... | 28.724138 | 84 | 0.623049 |
576cac074c13eb095065c6d2030dffe84a3c2e7c | 725 | py | Python | blind_automation/event/blocker.py | RaphiOriginal/blindAutomation | 47f087be0ef33983cfc372abe09760c9a64f1849 | [
"MIT"
] | 1 | 2020-08-20T19:43:14.000Z | 2020-08-20T19:43:14.000Z | blind_automation/event/blocker.py | RaphiOriginal/blindAutomation | 47f087be0ef33983cfc372abe09760c9a64f1849 | [
"MIT"
] | null | null | null | blind_automation/event/blocker.py | RaphiOriginal/blindAutomation | 47f087be0ef33983cfc372abe09760c9a64f1849 | [
"MIT"
] | null | null | null | from typing import Optional, TypeVar
from .event import EventBlocker
T = TypeVar('T')
| 21.323529 | 90 | 0.609655 |
576cb2eea467a88f13b66f007bd906188c23f5fc | 4,239 | py | Python | lib/systems/chlorophyll_c2.py | pulsar-chem/BPModule | f8e64e04fdb01947708f098e833600c459c2ff0e | [
"BSD-3-Clause"
] | null | null | null | lib/systems/chlorophyll_c2.py | pulsar-chem/BPModule | f8e64e04fdb01947708f098e833600c459c2ff0e | [
"BSD-3-Clause"
] | null | null | null | lib/systems/chlorophyll_c2.py | pulsar-chem/BPModule | f8e64e04fdb01947708f098e833600c459c2ff0e | [
"BSD-3-Clause"
] | null | null | null | import pulsar as psr
def load_ref_system():
""" Returns chlorophyll_c2 as found in the IQMol fragment library.
All credit to https://github.com/nutjunkie/IQmol
"""
return psr.make_system("""
C -2.51105 2.48309 -0.00367
C -1.01315 4.06218 0.09798... | 52.333333 | 70 | 0.362114 |
5771a8c9a11c0b65fd2a5981efe83e45f9b456e5 | 14,669 | py | Python | fth.py | anonymous-sys19/fth | cbde3030f43d048970e1471dc9c4fafba50fedb8 | [
"Apache-2.0"
] | 2 | 2021-02-01T18:31:19.000Z | 2021-05-28T19:14:51.000Z | fth.py | anonymous-sys19/fth | cbde3030f43d048970e1471dc9c4fafba50fedb8 | [
"Apache-2.0"
] | null | null | null | fth.py | anonymous-sys19/fth | cbde3030f43d048970e1471dc9c4fafba50fedb8 | [
"Apache-2.0"
] | null | null | null | import os
import time
import sys
import random
user_pass = ('''admin
admi
admin
universo
html
veggeta
Admin
bados
free-fire
royale
clang
free
fire
anonimo
anonimous
anoni
bills
anonymous
Aanonimous
pass
password
wordlist
kali
linux
kali-linux
start
Hacker
parrot
ubuntu
blacken
redhat
deepin
lubuntu
depin
gogeta
hacke... | 23.247227 | 118 | 0.439703 |
5771c942a9c694ad105aa8ab9cf5971afb8d6de1 | 5,637 | py | Python | AN-24_Nizhneangarsk/data/google_earth.py | paulross/pprune-calc | ebed46e7e029bc7a3067f50ad180a1df236052cf | [
"MIT"
] | 1 | 2020-10-24T15:46:18.000Z | 2020-10-24T15:46:18.000Z | AN-24_Nizhneangarsk/data/google_earth.py | paulross/pprune-calc | ebed46e7e029bc7a3067f50ad180a1df236052cf | [
"MIT"
] | null | null | null | AN-24_Nizhneangarsk/data/google_earth.py | paulross/pprune-calc | ebed46e7e029bc7a3067f50ad180a1df236052cf | [
"MIT"
] | null | null | null | import itertools
import math
import pprint
import sys
import typing
import map_funcs
GOOGLE_EARTH_AIRPORT_IMAGES = {
'GoogleEarth_AirportCamera_C.jpg' : {
'path': 'video_images/GoogleEarth_AirportCamera_C.jpg',
'width': 4800,
'height': 3011,
# Originally measured on the 100m legend... | 45.829268 | 105 | 0.693809 |
5772fd07bf52569383712e22c1c25c0c240b9a7f | 4,527 | py | Python | mongo_queue/queue.py | shunyeka/mongo_queue | df20894e96bfb93c6b710cd5b3d604498fb69576 | [
"MIT"
] | 6 | 2020-08-05T13:08:34.000Z | 2022-02-10T10:01:03.000Z | mongo_queue/queue.py | shunyeka/mongo_queue | df20894e96bfb93c6b710cd5b3d604498fb69576 | [
"MIT"
] | null | null | null | mongo_queue/queue.py | shunyeka/mongo_queue | df20894e96bfb93c6b710cd5b3d604498fb69576 | [
"MIT"
] | 4 | 2020-08-05T13:08:48.000Z | 2022-03-29T17:13:18.000Z | import pymongo
from datetime import datetime, timedelta
from mongo_queue.job import Job
from uuid import uuid4
from pymongo import errors
DEFAULT_INSERT = {
"attempts": 0,
"locked_by": None,
"locked_at": None,
"last_error": None
}
| 33.533333 | 109 | 0.522863 |
5773699f898326e720821addb402b1324a622597 | 776 | py | Python | CursoGuanabara/ex71_aula15_guanabara.py | cirino/python | 6c45b5305aebeeeebb7ffef335700e41cc0b6b3b | [
"MIT"
] | 1 | 2018-05-06T01:25:28.000Z | 2018-05-06T01:25:28.000Z | CursoGuanabara/ex71_aula15_guanabara.py | cirino/python | 6c45b5305aebeeeebb7ffef335700e41cc0b6b3b | [
"MIT"
] | 1 | 2019-02-10T18:46:37.000Z | 2019-02-12T21:17:50.000Z | CursoGuanabara/ex71_aula15_guanabara.py | cirino/python | 6c45b5305aebeeeebb7ffef335700e41cc0b6b3b | [
"MIT"
] | null | null | null | print('''
Exerccio 71 da aula 15 de Python
Curso do Guanabara
Day 24 Code Python - 23/05/2018
''')
print('{:^30}'.format('BANCO DO CIRINO'))
print('=' * 30)
n = int(input('Qual o valor para sacar? R$ '))
total = n
nota = 50 # comear de cima para baixo na estrutura
qtdNota = 0
while True:
if total ... | 18.47619 | 56 | 0.487113 |
5773c7f1c83fb78f2af7b935f1a55fb941e08abf | 1,823 | py | Python | models/face_completion.py | MartinKondor/MachineLearning | 2deb257796cb63bcc4d13594484e266a93ab7a83 | [
"MIT"
] | null | null | null | models/face_completion.py | MartinKondor/MachineLearning | 2deb257796cb63bcc4d13594484e266a93ab7a83 | [
"MIT"
] | null | null | null | models/face_completion.py | MartinKondor/MachineLearning | 2deb257796cb63bcc4d13594484e266a93ab7a83 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from sklearn.utils.validation import check_random_state
from sklearn.datasets import fetch_olivetti_faces
from sklearn.externals import joblib
rng = check_random_state(21)
dataset = fetch_olivetti_faces()
X = dataset.images.reshape(dataset.images.shape[0], -1)
trai... | 34.396226 | 130 | 0.690071 |
57742842c8a7ea0601406b324c435a1136e7bdad | 1,815 | py | Python | tests/utility.py | dpazel/music_rep | 2f9de9b98b13df98f1a0a2120b84714725ce527e | [
"MIT"
] | 1 | 2021-05-06T19:45:54.000Z | 2021-05-06T19:45:54.000Z | tests/utility.py | dpazel/music_rep | 2f9de9b98b13df98f1a0a2120b84714725ce527e | [
"MIT"
] | null | null | null | tests/utility.py | dpazel/music_rep | 2f9de9b98b13df98f1a0a2120b84714725ce527e | [
"MIT"
] | null | null | null | TONES = list('CDEFGAB')
| 29.274194 | 88 | 0.648485 |
577497e84fee800ed831d409f33393bf3915e7c8 | 3,447 | py | Python | backend/api/serializers/information_serializer.py | ferdn4ndo/infotrem | 4728c5fe8385dcc0a1c75068429fa20e2afbf6f2 | [
"MIT"
] | null | null | null | backend/api/serializers/information_serializer.py | ferdn4ndo/infotrem | 4728c5fe8385dcc0a1c75068429fa20e2afbf6f2 | [
"MIT"
] | 1 | 2020-06-21T18:38:14.000Z | 2020-06-21T21:57:09.000Z | backend/api/serializers/information_serializer.py | ferdn4ndo/infotrem | 4728c5fe8385dcc0a1c75068429fa20e2afbf6f2 | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
from django.db.models import Sum
from rest_framework import serializers
from api.models.information_model import Information
from api.models.information_effect_model import InformationEffect
from api.models.information_vote_model import InformationVote
from api.serializers.u... | 34.818182 | 103 | 0.691326 |
5774e1717dedb11588476f4f78df3c3d0a8e219f | 3,493 | py | Python | insightface/face_model.py | dniku/insightface | 763060b2608aaa9e77103ac6aaa393878501dee3 | [
"MIT"
] | null | null | null | insightface/face_model.py | dniku/insightface | 763060b2608aaa9e77103ac6aaa393878501dee3 | [
"MIT"
] | null | null | null | insightface/face_model.py | dniku/insightface | 763060b2608aaa9e77103ac6aaa393878501dee3 | [
"MIT"
] | null | null | null | import os
import cv2
import mxnet as mx
import numpy as np
from . import face_preprocess
from .mtcnn_detector import MtcnnDetector
| 37.159574 | 146 | 0.603206 |
577604174c837cf71abd588c86d1070a895c9358 | 316 | py | Python | src/newspaperkk.py | harakiriboy/Python-Final-exam- | 11a08453fe4dd547d09c97baeda57f3899b1e17a | [
"MIT"
] | null | null | null | src/newspaperkk.py | harakiriboy/Python-Final-exam- | 11a08453fe4dd547d09c97baeda57f3899b1e17a | [
"MIT"
] | null | null | null | src/newspaperkk.py | harakiriboy/Python-Final-exam- | 11a08453fe4dd547d09c97baeda57f3899b1e17a | [
"MIT"
] | null | null | null | import newspaper
from newspaper import Article
| 18.588235 | 47 | 0.607595 |
577688ba8ec27db2c2499b1d093cb54fc4a94c4c | 71 | py | Python | Server/app/schema/utils/__init__.py | Team-SeeTo/SeeTo-Backend | 19990cd6f4895e773eaa504f7b7a07ddbb5856e5 | [
"Apache-2.0"
] | 4 | 2018-06-18T06:50:12.000Z | 2018-11-15T00:08:24.000Z | Server/app/schema/utils/__init__.py | Team-SeeTo/SeeTo-Backend | 19990cd6f4895e773eaa504f7b7a07ddbb5856e5 | [
"Apache-2.0"
] | null | null | null | Server/app/schema/utils/__init__.py | Team-SeeTo/SeeTo-Backend | 19990cd6f4895e773eaa504f7b7a07ddbb5856e5 | [
"Apache-2.0"
] | null | null | null | from .activity_logger import idea_activity_logger, todo_activity_logger | 71 | 71 | 0.915493 |
57778b9212cbd84692109c1076197d5f351d5c74 | 1,302 | py | Python | h2o-py/tests/testdir_misc/pyunit_pubdev_7506_model_download_with_cv.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | 6,098 | 2015-05-22T02:46:12.000Z | 2022-03-31T16:54:51.000Z | h2o-py/tests/testdir_misc/pyunit_pubdev_7506_model_download_with_cv.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | 2,517 | 2015-05-23T02:10:54.000Z | 2022-03-30T17:03:39.000Z | h2o-py/tests/testdir_misc/pyunit_pubdev_7506_model_download_with_cv.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | 2,199 | 2015-05-22T04:09:55.000Z | 2022-03-28T22:20:45.000Z | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import h2o
import os
from h2o.estimators.gbm import H2OGradientBoostingEstimator
from tests import pyunit_utils
if __name__ == "__main__":
pyunit_utils.standalone_test(model_download_with_cv)
else:
model_download_with_cv()
| 38.294118 | 114 | 0.771889 |
5777cb4aa061f3c293f389812b1b6779768ca886 | 890 | py | Python | CNN/VGGNET/vgg16_features.py | reddyprasade/Deep-Learning
| 35fea69af72f94f6ad62a0f308de7bd515c27e7a
| [
"MIT"
] | 15 | 2020-01-23T12:01:22.000Z | 2022-03-29T21:07:41.000Z | CNN/VGGNET/vgg16_features.py | reddyprasade/Deep-Learning
| 35fea69af72f94f6ad62a0f308de7bd515c27e7a
| [
"MIT"
] | null | null | null | CNN/VGGNET/vgg16_features.py | reddyprasade/Deep-Learning
| 35fea69af72f94f6ad62a0f308de7bd515c27e7a
| [
"MIT"
] | 10 | 2020-02-12T02:52:04.000Z | 2021-07-04T07:38:39.000Z | import tensorflow as tf
from tensorflow.keras.applications.vgg16 import VGG16
from tensorflow.keras import models
from tensorflow.keras.preprocessing import image
from tensorflow.keras.applications.vgg16 import preprocess_input
import numpy as np
import cv2
# prebuild model with pre-trained weights on imagene... | 30.689655 | 65 | 0.769663 |
57785e3742249e6e69fdb5606027bac6121de3f7 | 3,262 | py | Python | evaluate.py | m4ln/HIWI_classification | f872c3da03bf999aeddd870eeed34332c8a9471a | [
"MIT"
] | 1 | 2020-09-07T10:02:07.000Z | 2020-09-07T10:02:07.000Z | evaluate.py | m4ln/HIWI_classification | f872c3da03bf999aeddd870eeed34332c8a9471a | [
"MIT"
] | 1 | 2020-09-16T14:26:01.000Z | 2020-09-16T14:26:01.000Z | evaluate.py | m4ln/HIWI_classification | f872c3da03bf999aeddd870eeed34332c8a9471a | [
"MIT"
] | 1 | 2020-09-07T11:29:47.000Z | 2020-09-07T11:29:47.000Z | """
call in shell: python evaluate.py --dir <rootdir/experiment/> --epoch <epoch to>
e.g. in shell: python evaluate.py --dir Runs/se_resnet_trained_final/ --epoch 149
loops over all folds and calculates + stores the accuracies in a file in the root folder of the experiment
you might change the model in line 45 from r... | 34.336842 | 139 | 0.656039 |
5778b44bc575b3aed34007cd02dacc145c82ec6d | 18,413 | py | Python | Allura/allura/webhooks.py | brondsem/allura | 37f4f4a68e71c7f1b8d72f4eee4c0b3d08c1a906 | [
"Apache-2.0"
] | null | null | null | Allura/allura/webhooks.py | brondsem/allura | 37f4f4a68e71c7f1b8d72f4eee4c0b3d08c1a906 | [
"Apache-2.0"
] | null | null | null | Allura/allura/webhooks.py | brondsem/allura | 37f4f4a68e71c7f1b8d72f4eee4c0b3d08c1a906 | [
"Apache-2.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (t... | 36.174853 | 109 | 0.576875 |
5779139c5edd9a302a13fd80a4c26bb0aae39343 | 11,139 | py | Python | monitor/monitor_v6_diagnostic.py | nlourie/vent-flowmeter | 7aa6e3814a7bf8a7da4d81eb80da69ceb5e8da80 | [
"MIT"
] | 2 | 2020-04-13T19:22:45.000Z | 2020-04-14T17:17:12.000Z | monitor/monitor_v6_diagnostic.py | nlourie/vent-flowmeter | 7aa6e3814a7bf8a7da4d81eb80da69ceb5e8da80 | [
"MIT"
] | null | null | null | monitor/monitor_v6_diagnostic.py | nlourie/vent-flowmeter | 7aa6e3814a7bf8a7da4d81eb80da69ceb5e8da80 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 7 08:38:28 2020
pyqt realtime plot tutorial
source: https://www.learnpyqt.com/courses/graphics-plotting/plotting-pyqtgraph/
@author: nlourie
"""
from PyQt5 import QtWidgets, QtCore,uic
from pyqtgraph import PlotWidget, plot,QtGui
import pyqtgra... | 34.700935 | 227 | 0.589281 |
577b488a4c6bb95a24f07ede098c7e6465673424 | 380 | py | Python | src/quotes_crawlspider/quotes/items.py | azzamsa/learn-scrapy | 8d408763ff0be21fe2e0933b91b4ad1fe082b3ec | [
"MIT"
] | null | null | null | src/quotes_crawlspider/quotes/items.py | azzamsa/learn-scrapy | 8d408763ff0be21fe2e0933b91b4ad1fe082b3ec | [
"MIT"
] | null | null | null | src/quotes_crawlspider/quotes/items.py | azzamsa/learn-scrapy | 8d408763ff0be21fe2e0933b91b4ad1fe082b3ec | [
"MIT"
] | null | null | null | # Define here the models for your scraped items
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/items.html
import scrapy
| 23.75 | 53 | 0.705263 |
577c1794e9fcb7bdccc6a2a9158ce5b0867f7053 | 4,230 | py | Python | notebook/pandas_agg.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 174 | 2018-05-30T21:14:50.000Z | 2022-03-25T07:59:37.000Z | notebook/pandas_agg.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 5 | 2019-08-10T03:22:02.000Z | 2021-07-12T20:31:17.000Z | notebook/pandas_agg.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 53 | 2018-04-27T05:26:35.000Z | 2022-03-25T07:59:37.000Z | import pandas as pd
import numpy as np
print(pd.__version__)
# 1.0.0
print(pd.DataFrame.agg is pd.DataFrame.aggregate)
# True
df = pd.DataFrame({'A': [0, 1, 2], 'B': [3, 4, 5]})
print(df)
# A B
# 0 0 3
# 1 1 4
# 2 2 5
print(df.agg(['sum', 'mean', 'min', 'max']))
# A B
# sum 3.0 12.0
# mean ... | 18.883929 | 77 | 0.513002 |
577c3969fe84dd6102e296297a763c6f7d167111 | 4,016 | py | Python | boonai/model.py | Scapogo/boonai | ebc889cdc7a67e613c512f694ed8050e78b9b4e8 | [
"MIT"
] | null | null | null | boonai/model.py | Scapogo/boonai | ebc889cdc7a67e613c512f694ed8050e78b9b4e8 | [
"MIT"
] | null | null | null | boonai/model.py | Scapogo/boonai | ebc889cdc7a67e613c512f694ed8050e78b9b4e8 | [
"MIT"
] | null | null | null | from flask_sqlalchemy import SQLAlchemy
from flask_user import UserMixin
from itsdangerous import (TimedJSONWebSignatureSerializer as
Serializer, BadSignature, SignatureExpired)
db = SQLAlchemy()
| 35.539823 | 89 | 0.677042 |
577d66ecbe1bdf71f6e1d9db706fc825c2daa640 | 6,324 | py | Python | botfw/bitflyer/api_web.py | Snufkin0866/btc_bot_framework | 164db3924ec2126e71cfac4be96acc65fb47d1d6 | [
"MIT"
] | 3 | 2020-10-17T14:08:57.000Z | 2021-07-08T03:30:52.000Z | botfw/bitflyer/api_web.py | Snufkin0866/btc_bot_framework | 164db3924ec2126e71cfac4be96acc65fb47d1d6 | [
"MIT"
] | null | null | null | botfw/bitflyer/api_web.py | Snufkin0866/btc_bot_framework | 164db3924ec2126e71cfac4be96acc65fb47d1d6 | [
"MIT"
] | 2 | 2021-01-07T15:12:38.000Z | 2021-04-01T19:11:50.000Z | import json
from urllib.parse import urlencode
import requests
from bs4 import BeautifulSoup
from .api import BitflyerApi
| 31.778894 | 79 | 0.542062 |
577f6cf385c7b053dbf2eea92626a248674a8677 | 2,969 | py | Python | codes/train.py | PowerLZY/malware_classification_bdci | 42058b076a06174d629cc759a1d0e81224baeb06 | [
"MIT"
] | 8 | 2022-02-14T07:10:14.000Z | 2022-03-23T05:18:43.000Z | codes/train.py | PowerLZY/malware_classification_bdci | 42058b076a06174d629cc759a1d0e81224baeb06 | [
"MIT"
] | null | null | null | codes/train.py | PowerLZY/malware_classification_bdci | 42058b076a06174d629cc759a1d0e81224baeb06 | [
"MIT"
] | 1 | 2022-02-17T06:21:23.000Z | 2022-02-17T06:21:23.000Z | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@File : train.py
@Contact : 3289218653@qq.com
@License : (C)Copyright 2021-2022 PowerLZY
@Modify Time @Author @Version @Desciption
------------ ------- -------- -----------
2021-10-04 15:03 PowerLZY&yuan_mes ... | 33.359551 | 144 | 0.633883 |
5782896b4d6e5c85e7c0c81d31dbd8cff1438078 | 453 | py | Python | crawlMp/enums.py | domarm-comat/crawlMp | 32b66573f351a2f28fcb7ce8627f8605975f76eb | [
"MIT"
] | 1 | 2021-12-03T15:14:36.000Z | 2021-12-03T15:14:36.000Z | crawlMp/enums.py | domarm-comat/crawlMp | 32b66573f351a2f28fcb7ce8627f8605975f76eb | [
"MIT"
] | 2 | 2021-12-03T16:10:14.000Z | 2021-12-03T18:09:33.000Z | crawlMp/enums.py | domarm-comat/crawlMp | 32b66573f351a2f28fcb7ce8627f8605975f76eb | [
"MIT"
] | null | null | null | from enum import Enum
from typing import Tuple, Type, Optional
Header_ref = Tuple[Header, Type, Optional[str]]
| 16.777778 | 47 | 0.602649 |
5782a0f511913dc91413d535eac081c7bb757a0f | 6,190 | py | Python | protocols.py | MartinKist/p2p | 046c6258f936789aff73b884235b9b202e7e7f7a | [
"MIT"
] | 2 | 2021-06-29T11:32:59.000Z | 2021-06-30T09:11:24.000Z | protocols.py | MartinKist/p2p | 046c6258f936789aff73b884235b9b202e7e7f7a | [
"MIT"
] | null | null | null | protocols.py | MartinKist/p2p | 046c6258f936789aff73b884235b9b202e7e7f7a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# (c) 2021 Martin Kistler
from abc import ABC, abstractmethod
from enum import Enum
from os import linesep
from twisted.internet import reactor
from twisted.internet.error import ConnectionDone
from twisted.internet.protocol import Factory, Protocol
from twisted.logger import Logger
from twiste... | 30.79602 | 121 | 0.664297 |
578339eb7a9855dc70e1449145cbddebafa88983 | 1,803 | py | Python | 002-python-oop/code/021_oop_class_builtin_attributes.py | CHemaxi/python | 6544ea79be447bcd39488e7366685966bebd9964 | [
"MIT"
] | null | null | null | 002-python-oop/code/021_oop_class_builtin_attributes.py | CHemaxi/python | 6544ea79be447bcd39488e7366685966bebd9964 | [
"MIT"
] | null | null | null | 002-python-oop/code/021_oop_class_builtin_attributes.py | CHemaxi/python | 6544ea79be447bcd39488e7366685966bebd9964 | [
"MIT"
] | null | null | null | """ MARKDOWN
---
YamlDesc: CONTENT-ARTICLE
Title: python builtin class attributes
MetaDescription: python object oriented programming class builtin attributes __doc__, __name__, __module__, __bases__ example code, tutorials
MetaKeywords: python object oriented programming class builtin attributes __doc__, __name__, __m... | 30.05 | 141 | 0.709373 |
57844212fa28ebcdefb93bfed459606ee05dd39b | 2,950 | py | Python | Prototype_2/web/blueprints/index.py | amal66/Kawm | 3bf442ea1f4b572f4ec840e0ee6ec7d96ae23133 | [
"MIT"
] | null | null | null | Prototype_2/web/blueprints/index.py | amal66/Kawm | 3bf442ea1f4b572f4ec840e0ee6ec7d96ae23133 | [
"MIT"
] | null | null | null | Prototype_2/web/blueprints/index.py | amal66/Kawm | 3bf442ea1f4b572f4ec840e0ee6ec7d96ae23133 | [
"MIT"
] | null | null | null | from flask import Blueprint, render_template,redirect,url_for,request,flash,make_response
from flask import current_app as app
from flask_login import (
LoginManager,
current_user,
login_required,
login_user,
logout_user,
UserMixin,
)
from ..models import User, db
from ..security import hash_str... | 43.382353 | 124 | 0.557288 |
57855a5d43bc96be7a4767d1b460ba7bd929c017 | 2,072 | py | Python | sensor/GY521_MPU6050.py | Smart4L/embedded-server | cf10ebb1ccc3002b45c20315ec521eaf1a9e7f10 | [
"MIT"
] | null | null | null | sensor/GY521_MPU6050.py | Smart4L/embedded-server | cf10ebb1ccc3002b45c20315ec521eaf1a9e7f10 | [
"MIT"
] | null | null | null | sensor/GY521_MPU6050.py | Smart4L/embedded-server | cf10ebb1ccc3002b45c20315ec521eaf1a9e7f10 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import time
from math import atan2, degrees
import board
import busio
import adafruit_mpu6050
if __name__ == '__main__':
sensor = GY521_MPU6050("GY521_MPU6050")
try:
while True:
print(sensor.measure())
time.sleep(1)
except Exception as e:
prin... | 28 | 153 | 0.64527 |
5785a172941ebdf8c77fe0b87766c3f3223d087b | 1,832 | py | Python | sumo/tools/projects/TaxiFCD_Krieg/src/taxiQuantity/TaxisPerEdge.py | iltempe/osmosi | c0f54ecdbb7c7b5602d587768617d0dc50f1d75d | [
"MIT"
] | null | null | null | sumo/tools/projects/TaxiFCD_Krieg/src/taxiQuantity/TaxisPerEdge.py | iltempe/osmosi | c0f54ecdbb7c7b5602d587768617d0dc50f1d75d | [
"MIT"
] | null | null | null | sumo/tools/projects/TaxiFCD_Krieg/src/taxiQuantity/TaxisPerEdge.py | iltempe/osmosi | c0f54ecdbb7c7b5602d587768617d0dc50f1d75d | [
"MIT"
] | 2 | 2017-12-14T16:41:59.000Z | 2020-10-16T17:51:27.000Z | #!/usr/bin/env python
# -*- coding: Latin-1 -*-
"""
@file TaxisPerEdge.py
@author Sascha Krieg
@author Daniel Krajzewicz
@author Michael Behrisch
@date 2008-04-08
@version $Id$
Counts for every edge in the given FCD-file the number of Taxis which used this edge.
After that this information can be visualized w... | 26.941176 | 95 | 0.674672 |
5785e6a036807a5d9394d69f5f7eaf543965d731 | 879 | py | Python | Tree/maxDepth.py | konantian/LeetCode | f97609cfe139159bc000cac5b39a1d0c28517d24 | [
"MIT"
] | 2 | 2018-06-02T03:57:20.000Z | 2018-10-20T22:15:17.000Z | Tree/maxDepth.py | konantian/leetcode | f97609cfe139159bc000cac5b39a1d0c28517d24 | [
"MIT"
] | null | null | null | Tree/maxDepth.py | konantian/leetcode | f97609cfe139159bc000cac5b39a1d0c28517d24 | [
"MIT"
] | 1 | 2019-01-31T05:17:19.000Z | 2019-01-31T05:17:19.000Z | '''
Source : https://leetcode.com/problems/maximum-depth-of-binary-tree/
Author : Yuan Wang
Date : 2018-07-21
/**********************************************************************************
*Given a binary tree, find its maximum depth.
*
*The maximum depth is the number of nodes along the longest path from the ... | 21.975 | 84 | 0.544937 |
57872eecc46c7a0d72ec8a778e7292de65dabc9e | 6,358 | py | Python | cli/mmt/mmtcli.py | Centaurioun/modernmt | 4dec42090088fdecf2d75c3e1ed9d41e603a7de1 | [
"Apache-2.0"
] | 154 | 2019-04-18T04:46:45.000Z | 2022-03-23T21:21:50.000Z | cli/mmt/mmtcli.py | Centaurioun/modernmt | 4dec42090088fdecf2d75c3e1ed9d41e603a7de1 | [
"Apache-2.0"
] | 406 | 2016-01-08T22:42:59.000Z | 2019-01-31T17:07:39.000Z | cli/mmt/mmtcli.py | Centaurioun/modernmt | 4dec42090088fdecf2d75c3e1ed9d41e603a7de1 | [
"Apache-2.0"
] | 38 | 2016-05-29T16:50:40.000Z | 2018-12-15T02:53:42.000Z | import os
import re
from cli.mmt import MMT_HOME_DIR, MMT_LIB_DIR, MMT_BIN_DIR, MMT_JAR, MMT_PLUGINS_JARS
from cli.utils import osutils
__java_version = __get_java_version()
assert __java_version is not None, 'missing Java executable, please check INSTALL.md'
assert __java_version > 7, 'wrong version of Java: requi... | 37.845238 | 120 | 0.617332 |
57883f6ad7f708a53fa8b719d4d89b28c98e01a8 | 2,497 | py | Python | DocumentClassicifation.py | ValentineNauli/My_MachineLearning | 3c32253e5f1ef43dc94de14da47e4e456d5bfb3f | [
"Apache-2.0"
] | 1 | 2020-10-20T02:33:50.000Z | 2020-10-20T02:33:50.000Z | DocumentClassicifation.py | ValentineNauli/My_MachineLearning | 3c32253e5f1ef43dc94de14da47e4e456d5bfb3f | [
"Apache-2.0"
] | null | null | null | DocumentClassicifation.py | ValentineNauli/My_MachineLearning | 3c32253e5f1ef43dc94de14da47e4e456d5bfb3f | [
"Apache-2.0"
] | null | null | null | #AUTHOR : HAMORA HADI
"""
You have been given a stack of documents that have already been processed and some that have not.
Your task is to classify these documents into one of eight categories: [1,2,3,...8].
You look at the specifications on what a document must contain and are baffled by the jargon.
However... | 31.607595 | 133 | 0.635162 |
57885b1f14f79ac4171cf51a11ef29a2c3dc1503 | 4,232 | py | Python | utils/make_temporal_subsets.py | davidhwyllie/findNeighbour4 | d42e10711e59e93ebf0e798fbb1598929f662c9c | [
"MIT"
] | null | null | null | utils/make_temporal_subsets.py | davidhwyllie/findNeighbour4 | d42e10711e59e93ebf0e798fbb1598929f662c9c | [
"MIT"
] | 14 | 2021-11-26T14:43:25.000Z | 2022-03-22T00:39:17.000Z | utils/make_temporal_subsets.py | davidhwyllie/findNeighbour4 | d42e10711e59e93ebf0e798fbb1598929f662c9c | [
"MIT"
] | null | null | null | """ generates lists of SARS-CoV-2 samples which occurred before a particular date
Also generates a dictionary of reference compressed sequences
And a subset of these
Together, these can be passed to a ram_persistence object which
can be used instead of an fn3persistence object to test the performance of PCA, or for o... | 36.8 | 127 | 0.756144 |
5788ff69ca8306377b664e4a0c3f2b102ca5c7c0 | 7,476 | py | Python | kiauhoku/dartmouth.py | zclaytor/kiauhoku | 5b3357dc2093577f97f80cc829c1ca785e4fae63 | [
"MIT"
] | 12 | 2019-10-12T03:10:17.000Z | 2021-05-05T04:18:49.000Z | kiauhoku/dartmouth.py | zclaytor/kiauhoku | 5b3357dc2093577f97f80cc829c1ca785e4fae63 | [
"MIT"
] | 1 | 2022-02-07T10:55:11.000Z | 2022-02-26T00:27:31.000Z | kiauhoku/dartmouth.py | zclaytor/kiauhoku | 5b3357dc2093577f97f80cc829c1ca785e4fae63 | [
"MIT"
] | 1 | 2019-10-18T21:50:32.000Z | 2019-10-18T21:50:32.000Z | import os
import re
import pickle
import numpy as np
import pandas as pd
from tqdm import tqdm
# Assign labels used in eep conversion
eep_params = dict(
age = 'Age (yrs)',
hydrogen_lum = 'L_H',
lum = 'Log L',
logg = 'Log g',
log_teff = 'Log T',
core_hydrogen_frac = 'X_core', # must be added
... | 32.224138 | 80 | 0.651284 |
57891dccfc7a6660f1ab82ce9811e218955d5cf9 | 685 | py | Python | geoscript/geom/io/wkt.py | jericks/geoscript-py | 8dc600343f42dd87b1981023522a1a8cf56006a9 | [
"MIT"
] | null | null | null | geoscript/geom/io/wkt.py | jericks/geoscript-py | 8dc600343f42dd87b1981023522a1a8cf56006a9 | [
"MIT"
] | null | null | null | geoscript/geom/io/wkt.py | jericks/geoscript-py | 8dc600343f42dd87b1981023522a1a8cf56006a9 | [
"MIT"
] | null | null | null | from com.vividsolutions.jts.io import WKTReader, WKTWriter
from geoscript.util import deprecated
def readWKT(wkt):
"""
Constructs a geometry from Well Known Text.
*wkt* is the Well Known Text string representing the geometry as described by http://en.wikipedia.org/wiki/Well-known_text.
>>> readWKT('POINT (1... | 20.757576 | 125 | 0.683212 |
578b06c44ad4120f5203622c4930a21961e766fa | 1,053 | py | Python | config/settings/production.py | maxelite1520/multi-vendor-e-commerce | 98dfe5533a7f7ce33ef8e43ecb8669614d7298c5 | [
"MIT"
] | null | null | null | config/settings/production.py | maxelite1520/multi-vendor-e-commerce | 98dfe5533a7f7ce33ef8e43ecb8669614d7298c5 | [
"MIT"
] | 1 | 2021-09-01T15:21:10.000Z | 2021-09-01T15:21:10.000Z | config/settings/production.py | maxelite1520/multi-vendor-e-commerce | 98dfe5533a7f7ce33ef8e43ecb8669614d7298c5 | [
"MIT"
] | null | null | null | import os
import dj_database_url
import dotenv
from .base import BASE_DIR
env = BASE_DIR / '.env'
dotenv.read_dotenv(env)
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = False
ALLOWED_HOSTS = ["multiple-vendor-e-commerce.herokuapp.com"]
# Database
# https://docs.djangoproject.com/en/3.... | 19.5 | 65 | 0.750237 |
578c743bedee8f67d9035661125837e42bfc1a81 | 638 | py | Python | webapp/starter/tracker/views.py | jersobh/docker-covidoff | a0d62f6f7c2bae5f1e6a567abdcbf59a90a5e03f | [
"MIT"
] | null | null | null | webapp/starter/tracker/views.py | jersobh/docker-covidoff | a0d62f6f7c2bae5f1e6a567abdcbf59a90a5e03f | [
"MIT"
] | 6 | 2020-03-19T20:13:44.000Z | 2021-06-10T18:42:30.000Z | webapp/starter/tracker/views.py | jersobh/docker-covidoff | a0d62f6f7c2bae5f1e6a567abdcbf59a90a5e03f | [
"MIT"
] | null | null | null | from django.views import View
from django.http import JsonResponse
from tracker.models import Match
from tracker.forms import MatchForm
import json
| 21.266667 | 61 | 0.713166 |
57927aebea275b8a5baaf7a2a83d8d6768dd7f0a | 2,400 | py | Python | precise/covariance/ledoitwolf.py | iklasky/precise | dd0b772b0c15ce1e47e076a027bb1b26239ed16d | [
"MIT"
] | null | null | null | precise/covariance/ledoitwolf.py | iklasky/precise | dd0b772b0c15ce1e47e076a027bb1b26239ed16d | [
"MIT"
] | null | null | null | precise/covariance/ledoitwolf.py | iklasky/precise | dd0b772b0c15ce1e47e076a027bb1b26239ed16d | [
"MIT"
] | null | null | null | from precise.covariance.movingaverage import ema_scov
from precise.covariance.matrixfunctions import grand_mean, grand_shrink
from sklearn.covariance._shrunk_covariance import ledoit_wolf_shrinkage
import numpy as np
# Experimental estimator inspired by Ledoit-Wolf
# Keeps a buffer of last n_buffer observations
# Tra... | 25.806452 | 83 | 0.544167 |
57931e36703d83bfbb031c2fa680eb23f332ac35 | 704 | py | Python | setup.py | ProrokWielki/Text2CArray | db1fdd54dcbd3ab3d728e35ebfca6a05ac230e04 | [
"MIT"
] | null | null | null | setup.py | ProrokWielki/Text2CArray | db1fdd54dcbd3ab3d728e35ebfca6a05ac230e04 | [
"MIT"
] | null | null | null | setup.py | ProrokWielki/Text2CArray | db1fdd54dcbd3ab3d728e35ebfca6a05ac230e04 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
with open('README.md') as f:
long_description = f.read()
setup(name='Text2CArray',
version='0.1.0',
description='Script for generating C arrays from text.',
long_description=long_description,
long_description_content_type='text/markdown', # This i... | 29.333333 | 73 | 0.640625 |
57944f7748440824b510084999250896fd1e4190 | 32 | py | Python | robotframework-ls/tests/robotframework_ls_tests/_resources/case_vars_file/robotvars.py | mardukbp/robotframework-lsp | 57b4b2b14b712c9bf90577924a920fb9b9e831c7 | [
"ECL-2.0",
"Apache-2.0"
] | 92 | 2020-01-22T22:15:29.000Z | 2022-03-31T05:19:16.000Z | robotframework-ls/tests/robotframework_ls_tests/_resources/case_vars_file/robotvars.py | mardukbp/robotframework-lsp | 57b4b2b14b712c9bf90577924a920fb9b9e831c7 | [
"ECL-2.0",
"Apache-2.0"
] | 604 | 2020-01-25T17:13:27.000Z | 2022-03-31T18:58:24.000Z | robotframework-ls/tests/robotframework_ls_tests/_resources/case_vars_file/robotvars.py | mardukbp/robotframework-lsp | 57b4b2b14b712c9bf90577924a920fb9b9e831c7 | [
"ECL-2.0",
"Apache-2.0"
] | 39 | 2020-02-06T00:38:06.000Z | 2022-03-15T06:14:19.000Z | VARIABLE_1 = 10
VARIABLE_2 = 20
| 10.666667 | 15 | 0.75 |
57963d19d43781ea87b371e11a9dd7e27acce2dd | 7,708 | py | Python | src/markovRecipe.py | schollz/parseingredient | 4953eb986375304e6eaab04e26d14b3450f62b90 | [
"MIT"
] | 1 | 2020-07-10T12:52:43.000Z | 2020-07-10T12:52:43.000Z | src/markovRecipe.py | schollz/parseingredient | 4953eb986375304e6eaab04e26d14b3450f62b90 | [
"MIT"
] | null | null | null | src/markovRecipe.py | schollz/parseingredient | 4953eb986375304e6eaab04e26d14b3450f62b90 | [
"MIT"
] | 1 | 2021-10-05T05:24:57.000Z | 2021-10-05T05:24:57.000Z | import json
import os.path
import operator
import time
from multiprocessing import Pool
import markovify
from tqdm import tqdm
removeWords = ['c', 'tsp', 'qt', 'lb', 'pkg', 'oz', 'med', 'tbsp', 'sm']
removeWords2 = [" recipes "," recipe "," mashed "," fat ",' c. ',' c ','grams','gram','chopped','tbsps','tbsp','cups',... | 34.720721 | 170 | 0.61741 |
57978560a0242c56700cc234e8aab484133ef169 | 11,740 | py | Python | nanome/api/structure/complex.py | nanome-ai/nanome | 7777a782168fe4e68f58c42f01cff9e66f3675aa | [
"MIT"
] | 1 | 2020-04-10T09:47:54.000Z | 2020-04-10T09:47:54.000Z | nanome/api/structure/complex.py | nanome-ai/nanome | 7777a782168fe4e68f58c42f01cff9e66f3675aa | [
"MIT"
] | 10 | 2019-05-30T18:29:10.000Z | 2020-02-15T02:16:42.000Z | nanome/api/structure/complex.py | nanome-ai/nanome | 7777a782168fe4e68f58c42f01cff9e66f3675aa | [
"MIT"
] | 2 | 2020-02-04T02:56:21.000Z | 2020-04-25T20:05:16.000Z | from nanome._internal._structure._complex import _Complex
from nanome._internal import _PluginInstance
from nanome._internal._network import PluginNetwork
from nanome._internal._network._commands._callbacks import _Messages
from nanome.util import Matrix, Logs
from .io import ComplexIO
from . import Base
# return... | 25.139186 | 83 | 0.593782 |
579790343ca70d2a664becf8ebf185a247791ae7 | 1,862 | py | Python | neighbourhood/models.py | Mutembeijoe/hood_yetu | 5759bbf95a8dd0c7a62987773b71a1a7531ae074 | [
"MIT"
] | null | null | null | neighbourhood/models.py | Mutembeijoe/hood_yetu | 5759bbf95a8dd0c7a62987773b71a1a7531ae074 | [
"MIT"
] | 9 | 2020-02-12T03:06:29.000Z | 2022-03-12T00:11:25.000Z | neighbourhood/models.py | Mutembeijoe/hood_yetu | 5759bbf95a8dd0c7a62987773b71a1a7531ae074 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.postgres.fields import ArrayField
from django.urls import reverse
# Create your models here.
| 33.854545 | 107 | 0.697637 |
5797c3e4c498f61ba0845553c24009ac9d25e7f2 | 1,932 | py | Python | WEEKS/CD_Sata-Structures/_MISC/misc-examples/text_buffer.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | WEEKS/CD_Sata-Structures/_MISC/misc-examples/text_buffer.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | WEEKS/CD_Sata-Structures/_MISC/misc-examples/text_buffer.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | from doubly_linked_list import DoublyLinkedList
t = TextBuffer()
t.append("ook")
t.prepend("B")
t.append("'s are readable")
print(t)
t.delete_back(2)
print(t)
t.delete_front(6)
t.delete_front()
print(t)
t.append("le")
t.delete_front(4)
t2 = TextBuffer()
t2.append(" Hello")
print(t)
t.join(t2)
print(t)
| 28.411765 | 81 | 0.664079 |
579b07f7e2fa1f7d53a1230b84e41be5a5006de9 | 14,911 | py | Python | TWLight/users/models.py | Chinmay-Gurjar/TWLight | 94ff6e1bf0a8dd851e569c592608871de2ad3089 | [
"MIT"
] | null | null | null | TWLight/users/models.py | Chinmay-Gurjar/TWLight | 94ff6e1bf0a8dd851e569c592608871de2ad3089 | [
"MIT"
] | null | null | null | TWLight/users/models.py | Chinmay-Gurjar/TWLight | 94ff6e1bf0a8dd851e569c592608871de2ad3089 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
This file holds user profile information. (The base User model is part of
Django; profiles extend that with locally useful information.)
TWLight has three user types:
* editors
* coordinators
* site administrators.
_Editors_ are Wikipedia editors who are applying for TWL resource acce... | 40.409214 | 228 | 0.652002 |
579b5a9f70fd946f42041ba6173bffac11a64dcb | 14,694 | py | Python | src/reddit_baselines.py | mengelhard/cft | aaf24d4f59b581ef5ef1af17e3e23c5a7ee8245a | [
"MIT"
] | 2 | 2021-03-14T11:46:51.000Z | 2022-03-30T05:39:55.000Z | src/reddit_baselines.py | mengelhard/cft | aaf24d4f59b581ef5ef1af17e3e23c5a7ee8245a | [
"MIT"
] | 9 | 2020-03-24T18:16:46.000Z | 2022-02-10T00:39:49.000Z | src/reddit_baselines.py | mengelhard/cft | aaf24d4f59b581ef5ef1af17e3e23c5a7ee8245a | [
"MIT"
] | 1 | 2021-04-23T04:55:16.000Z | 2021-04-23T04:55:16.000Z | import numpy as np
import pandas as pd
import tensorflow as tf
import itertools
import datetime
import os
from sklearn.metrics import roc_auc_score
from model import mlp, lognormal_nlogpdf, lognormal_nlogsurvival
from model_reddit import load_batch
from train_reddit import get_files
from train_mimic import rae_over_s... | 24.49 | 99 | 0.689261 |
579bb2d5e8a709b1e23fdd92467609fdeb1606bf | 1,272 | py | Python | os_client_config/constructors.py | dtroyer/os-client-config | f0ce20703d2cb8dbf899b9768c3cbbd14ee60594 | [
"Apache-2.0"
] | 36 | 2015-04-17T12:05:54.000Z | 2019-10-15T20:44:34.000Z | os_client_config/constructors.py | dtroyer/os-client-config | f0ce20703d2cb8dbf899b9768c3cbbd14ee60594 | [
"Apache-2.0"
] | null | null | null | os_client_config/constructors.py | dtroyer/os-client-config | f0ce20703d2cb8dbf899b9768c3cbbd14ee60594 | [
"Apache-2.0"
] | 16 | 2015-05-11T22:59:51.000Z | 2020-12-07T16:42:37.000Z | # Copyright (c) 2014 Hewlett-Packard Development Company, L.P.
#
# 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 appli... | 34.378378 | 75 | 0.731132 |
579c287002d5865b908cece88e2dc77b99abf245 | 4,392 | py | Python | src/the_tale/the_tale/linguistics/migrations/0009_remove_quotes_from_diary.py | al-arz/the-tale | 542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5 | [
"BSD-3-Clause"
] | 85 | 2017-11-21T12:22:02.000Z | 2022-03-27T23:07:17.000Z | src/the_tale/the_tale/linguistics/migrations/0009_remove_quotes_from_diary.py | al-arz/the-tale | 542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5 | [
"BSD-3-Clause"
] | 545 | 2017-11-04T14:15:04.000Z | 2022-03-27T14:19:27.000Z | src/the_tale/the_tale/linguistics/migrations/0009_remove_quotes_from_diary.py | al-arz/the-tale | 542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5 | [
"BSD-3-Clause"
] | 45 | 2017-11-11T12:36:30.000Z | 2022-02-25T06:10:44.000Z | # -*- coding: utf-8 -*-
import json
from django.db import models, migrations
DIARY_KEYS = (0,
3,
4,
17,
20001,
20002,
20003,
40000,
40001,
40002,
40003,
40004,
... | 21.742574 | 78 | 0.344035 |
579d327dd8fa1b155ce5d0aa4edd1cd1932f3add | 1,764 | py | Python | scripts/supp_fig_C_calc.py | dhbrookes/FitnessSparsity | ccaf35a4dbdbf175e5a6f6dcfd7c368b640f84f2 | [
"MIT"
] | 3 | 2021-09-20T04:51:55.000Z | 2022-02-02T13:37:31.000Z | scripts/supp_fig_C_calc.py | dhbrookes/FitnessSparsity | ccaf35a4dbdbf175e5a6f6dcfd7c368b640f84f2 | [
"MIT"
] | null | null | null | scripts/supp_fig_C_calc.py | dhbrookes/FitnessSparsity | ccaf35a4dbdbf175e5a6f6dcfd7c368b640f84f2 | [
"MIT"
] | null | null | null | import sys
sys.path.append("../src")
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import C_calculation
plt.style.use(['seaborn-deep', '../paper.mplstyle'])
"""
This script produces Figure S3, which displays a detailed summary of the
calculations used to determine a suitable value for C. ... | 29.898305 | 104 | 0.584467 |
579e371e955563dc8f4d6412367c0fd0a22213bb | 167 | py | Python | Exercicios Python/exlista01.py | oswaldo-spadari/Python-Exec | 3c3a237ed7c30af43f23a3619f6c6b92f6fcb12e | [
"MIT"
] | null | null | null | Exercicios Python/exlista01.py | oswaldo-spadari/Python-Exec | 3c3a237ed7c30af43f23a3619f6c6b92f6fcb12e | [
"MIT"
] | null | null | null | Exercicios Python/exlista01.py | oswaldo-spadari/Python-Exec | 3c3a237ed7c30af43f23a3619f6c6b92f6fcb12e | [
"MIT"
] | null | null | null | #Faa um Programa que leia um vetor de 5 nmeros inteiros e mostre-os.
lista=[]
for i in range(1, 6):
lista.append(int(input('Digite um nmero: ')))
print(lista)
| 23.857143 | 70 | 0.694611 |
579ed39e3894484e564f4d2f67bafed408849d23 | 169 | py | Python | seno/wallet/trading/trade_status.py | emilson0407/seno-blockchain | fa73fc06639faaacbb82504a6c8698c3bcab57c0 | [
"Apache-2.0"
] | 11,902 | 2019-12-05T00:14:29.000Z | 2022-03-31T23:25:37.000Z | seno/wallet/trading/trade_status.py | emilson0407/seno-blockchain | fa73fc06639faaacbb82504a6c8698c3bcab57c0 | [
"Apache-2.0"
] | 5,246 | 2019-12-05T04:00:03.000Z | 2022-03-31T21:33:30.000Z | seno/wallet/trading/trade_status.py | emilson0407/seno-blockchain | fa73fc06639faaacbb82504a6c8698c3bcab57c0 | [
"Apache-2.0"
] | 2,149 | 2019-12-05T11:12:53.000Z | 2022-03-31T06:08:34.000Z | from enum import Enum
| 15.363636 | 24 | 0.650888 |
579ee3e03e2bc4abaee046e7d30389e76953898b | 522 | py | Python | sbpy/spectroscopy/vega/sources.py | mkelley/sbpy | 40ff9a99f9b606fbf819e3b134f2b2d3b972c681 | [
"BSD-3-Clause"
] | 3 | 2018-10-25T01:55:31.000Z | 2020-03-31T16:11:08.000Z | sbpy/spectroscopy/vega/sources.py | mkelley/sbpy | 40ff9a99f9b606fbf819e3b134f2b2d3b972c681 | [
"BSD-3-Clause"
] | null | null | null | sbpy/spectroscopy/vega/sources.py | mkelley/sbpy | 40ff9a99f9b606fbf819e3b134f2b2d3b972c681 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
========================
SBPy Vega Sources Module
========================
Descriptions of source Vega spectra.
"""
# Parameters passed to Vega.from_file. 'filename' is a URL. After
# adding spectra here update __init__.py docstring and
# docs/sbpy... | 21.75 | 66 | 0.637931 |
579ef7f1b1338f3ddf37ec13a2ddb9beab318d6c | 3,455 | py | Python | api_server.py | ChristianKreuzberger/computer.vision.101 | 627db9414fd274905b79548cbe6462d96d9cea86 | [
"MIT"
] | null | null | null | api_server.py | ChristianKreuzberger/computer.vision.101 | 627db9414fd274905b79548cbe6462d96d9cea86 | [
"MIT"
] | null | null | null | api_server.py | ChristianKreuzberger/computer.vision.101 | 627db9414fd274905b79548cbe6462d96d9cea86 | [
"MIT"
] | 1 | 2018-09-17T09:06:52.000Z | 2018-09-17T09:06:52.000Z | import os
os.environ["KERAS_BACKEND"] = "tensorflow"
import numpy as np
import keras
from keras.applications import imagenet_utils
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras.preprocessing import image
from k... | 25.592593 | 103 | 0.661071 |
57a027d5dd9201731891da0c2235f4c706336af9 | 506 | py | Python | Lesson2_Functions/8-return.py | StyvenSoft/degree-python | 644953608948f341f5a20ceb9a02976a128b472b | [
"MIT"
] | null | null | null | Lesson2_Functions/8-return.py | StyvenSoft/degree-python | 644953608948f341f5a20ceb9a02976a128b472b | [
"MIT"
] | null | null | null | Lesson2_Functions/8-return.py | StyvenSoft/degree-python | 644953608948f341f5a20ceb9a02976a128b472b | [
"MIT"
] | null | null | null |
result = divide_by_four(16)
# result now holds 4
print("16 divided by 4 is " + str(result) + "!")
result2 = divide_by_four(result)
print(str(result) + " divided by 4 is " + str(result2) + "!")
my_age = calculate_age(2049, 1993)
dads_age = calculate_age(2049, 1953)
print("I am "+str(my_age)+" years old and my d... | 26.631579 | 81 | 0.70751 |
57a3a8a709c11a11c55c20bbf889cce49b9d06df | 223 | py | Python | adjutant-plugin/mfa_views/models.py | catalyst-cloud/adjutant-mfa | d9e99dd006a895ca33b840e7d92bc5107ec4ba8d | [
"Apache-2.0"
] | 2 | 2018-02-15T12:56:05.000Z | 2018-03-10T09:45:08.000Z | adjutant-plugin/mfa_views/models.py | catalyst-cloud/adjutant-mfa | d9e99dd006a895ca33b840e7d92bc5107ec4ba8d | [
"Apache-2.0"
] | 1 | 2018-05-24T23:08:17.000Z | 2018-05-24T23:08:17.000Z | adjutant-plugin/mfa_views/models.py | catalyst-cloud/adjutant-mfa | d9e99dd006a895ca33b840e7d92bc5107ec4ba8d | [
"Apache-2.0"
] | 3 | 2018-02-09T03:27:43.000Z | 2018-07-02T10:45:35.000Z |
from adjutant.api.v1.models import register_taskview_class
from mfa_views import views
register_taskview_class(r'^openstack/edit-mfa/?$', views.EditMFA)
register_taskview_class(r'^openstack/users/?$', views.UserListMFA)
| 27.875 | 66 | 0.816143 |
57a3afc4218ffc2e5632ac9b4b9ef00acfd02961 | 3,194 | py | Python | src/toast/tod/applygain.py | ziotom78/toast | 66aef04c833a28f0928a0bbc221da45882aae475 | [
"BSD-2-Clause"
] | null | null | null | src/toast/tod/applygain.py | ziotom78/toast | 66aef04c833a28f0928a0bbc221da45882aae475 | [
"BSD-2-Clause"
] | null | null | null | src/toast/tod/applygain.py | ziotom78/toast | 66aef04c833a28f0928a0bbc221da45882aae475 | [
"BSD-2-Clause"
] | null | null | null | # Copyright (c) 2015-2019 by the parties listed in the AUTHORS file.
# All rights reserved. Use of this source code is governed by
# a BSD-style license that can be found in the LICENSE file.
import numpy as np
from astropy.io import fits
from ..op import Operator
from ..timing import function_timer
from .tod_mat... | 27.067797 | 85 | 0.567001 |
57a48b0dacbc22f4bad998cd06e891c64fb838c5 | 7,652 | py | Python | jans-linux-setup/jans_setup/static/extension/person_authentication/GoogleExternalAuthenticator.py | nikdavnik/jans | 5e9abc74cca766a066512eab2aca6563ce480bff | [
"Apache-2.0"
] | 18 | 2022-01-13T13:45:13.000Z | 2022-03-30T04:41:18.000Z | jans-linux-setup/jans_setup/static/extension/person_authentication/GoogleExternalAuthenticator.py | nikdavnik/jans | 5e9abc74cca766a066512eab2aca6563ce480bff | [
"Apache-2.0"
] | 604 | 2022-01-13T12:32:50.000Z | 2022-03-31T20:27:36.000Z | jans-linux-setup/jans_setup/static/extension/person_authentication/GoogleExternalAuthenticator.py | nikdavnik/jans | 5e9abc74cca766a066512eab2aca6563ce480bff | [
"Apache-2.0"
] | 8 | 2022-01-28T00:23:25.000Z | 2022-03-16T05:12:12.000Z | # Janssen Project software is available under the Apache 2.0 License (2004). See http://www.apache.org/licenses/ for full text.
# Copyright (c) 2020, Janssen Project
#
# Author: Madhumita Subramaniam
#
from io.jans.service.cdi.util import CdiUtil
from io.jans.as.server.security import Identity
from io.jans.model.custo... | 39.854167 | 167 | 0.673811 |
57a668358180b4bf197bc0f22a79ebe450b7df08 | 384 | py | Python | app/abbr/models.py | Tjorriemorrie/abbr | a4a3017a6694eacf6c11e95e76cec6d260750438 | [
"Apache-2.0"
] | null | null | null | app/abbr/models.py | Tjorriemorrie/abbr | a4a3017a6694eacf6c11e95e76cec6d260750438 | [
"Apache-2.0"
] | null | null | null | app/abbr/models.py | Tjorriemorrie/abbr | a4a3017a6694eacf6c11e95e76cec6d260750438 | [
"Apache-2.0"
] | null | null | null | from django.db import models
# classification value objects
CHOICES_CLASSIFICATION = [
(0, 'unrelated'),
(1, 'simple'),
(2, 'complex'),
(3, 'substring'),
]
| 22.588235 | 80 | 0.75 |
57a71c30a72ab6617b2351c0866f4abcd021aacb | 1,709 | py | Python | example/sign up.py | Roblox-Thot/captchaCodeMakerV2 | 0d9e1a85b75e0c71f9c8b35d8330f704b1464685 | [
"Apache-2.0"
] | 7 | 2021-12-10T16:37:15.000Z | 2022-03-07T09:29:36.000Z | example/sign up.py | Roblox-Thot/captchaCodeMakerV2 | 0d9e1a85b75e0c71f9c8b35d8330f704b1464685 | [
"Apache-2.0"
] | null | null | null | example/sign up.py | Roblox-Thot/captchaCodeMakerV2 | 0d9e1a85b75e0c71f9c8b35d8330f704b1464685 | [
"Apache-2.0"
] | 9 | 2022-01-15T15:32:58.000Z | 2022-03-08T21:28:38.000Z | # This code could be improved but its just a example on how to use the code from the site
import requests, base64, random, string
token = input("Put code here:\n")
headers = {
'authority': 'auth.roblox.com',
'dnt': '1',
'x-csrf-token': requests.post("https://auth.roblox.com/v2/login").headers["x-csrf-tok... | 30.517857 | 135 | 0.664716 |
57a76c0acd0cd0c7f74ee94b222ad2aad279c1a0 | 160 | py | Python | users/roles.py | Zimodra/yamdb_final | b6bb7e5b92a09604b441e9111bd52ecb459ffaba | [
"MIT"
] | null | null | null | users/roles.py | Zimodra/yamdb_final | b6bb7e5b92a09604b441e9111bd52ecb459ffaba | [
"MIT"
] | null | null | null | users/roles.py | Zimodra/yamdb_final | b6bb7e5b92a09604b441e9111bd52ecb459ffaba | [
"MIT"
] | null | null | null | from django.db import models
| 20 | 40 | 0.65625 |
57a8299c7547a4ed17891ac37b6772a5f338d29e | 6,161 | py | Python | blyaml/validators.py | Brainlabs-Digital/Brainlabs-YAML-Generator | 6b22540cdbc29611dbe97facc71c51b0060528a9 | [
"MIT"
] | null | null | null | blyaml/validators.py | Brainlabs-Digital/Brainlabs-YAML-Generator | 6b22540cdbc29611dbe97facc71c51b0060528a9 | [
"MIT"
] | 8 | 2019-10-24T10:08:21.000Z | 2021-11-29T11:39:51.000Z | blyaml/validators.py | Brainlabs-Digital/Brainlabs-YAML-Generator | 6b22540cdbc29611dbe97facc71c51b0060528a9 | [
"MIT"
] | 3 | 2019-10-17T15:17:02.000Z | 2020-09-24T18:10:24.000Z | import re
from datetime import datetime
from PyInquirer import Validator, ValidationError
from prompt_toolkit.document import Document
# This file contains functions used for validation and Validator classes that use them.
# Validators are used by questions.
email_regex = r"^(\w|\d|\.|\_|\-)+$"
url_regex = (
... | 34.038674 | 356 | 0.637072 |
57a89bca360c730024572cf8e5039971a5a20578 | 7,113 | py | Python | src/git_profile_command/__init__.py | NiklasRosenstein/git-profile | 89696f2b6aee457a33674fdf930ba34e89f6239c | [
"MIT"
] | null | null | null | src/git_profile_command/__init__.py | NiklasRosenstein/git-profile | 89696f2b6aee457a33674fdf930ba34e89f6239c | [
"MIT"
] | 2 | 2019-07-15T11:29:47.000Z | 2021-11-26T04:01:14.000Z | src/git_profile_command/__init__.py | NiklasRosenstein/git-profile | 89696f2b6aee457a33674fdf930ba34e89f6239c | [
"MIT"
] | null | null | null | # The MIT License (MIT)
#
# Copyright (c) 2019 Niklas Rosenstein
#
# 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,... | 34.197115 | 98 | 0.696752 |
57a8e223905afe0cac15558594f1c75596817567 | 15,208 | py | Python | src/test/rebaseline-p.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/test/rebaseline-p.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/test/rebaseline-p.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | import filecmp
import os
import sys
import shutil
import subprocess
import time
import unittest
if (sys.version_info > (3, 0)):
import urllib.request, urllib.parse, urllib.error
else:
import urllib
from optparse import OptionParser
from PyQt4 import QtCore,QtGui
parser = OptionParser()
parser.add_option("-r",... | 35.783529 | 81 | 0.647554 |
57a8e82c5a3eff8f6921f918c1e1cb15a9856eea | 2,174 | py | Python | src/pigs/bot.py | rcobanov/Examination2 | 15540554e1c9020320607a79cdf33c17045bd947 | [
"MIT"
] | null | null | null | src/pigs/bot.py | rcobanov/Examination2 | 15540554e1c9020320607a79cdf33c17045bd947 | [
"MIT"
] | null | null | null | src/pigs/bot.py | rcobanov/Examination2 | 15540554e1c9020320607a79cdf33c17045bd947 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Here is the class that controls the bot.
It also contains various value manipulation,
and one function that lets the bot play one round, from first roll until hold.
The intelligence is basically how many rolls the bot is going to do on one
round. The easier level on t... | 32.939394 | 78 | 0.614995 |
57a918303b705c991a3420d0d04d3d2d8b68608b | 2,068 | py | Python | enochecker3/logging.py | Sinitax/enochecker3 | 2c43177aa66e04ff6e9cde96354bd373fb81d743 | [
"MIT"
] | null | null | null | enochecker3/logging.py | Sinitax/enochecker3 | 2c43177aa66e04ff6e9cde96354bd373fb81d743 | [
"MIT"
] | 6 | 2021-07-02T09:57:38.000Z | 2021-07-23T12:42:07.000Z | enochecker3/logging.py | Sinitax/enochecker3 | 2c43177aa66e04ff6e9cde96354bd373fb81d743 | [
"MIT"
] | 1 | 2021-07-01T16:16:29.000Z | 2021-07-01T16:16:29.000Z | import datetime
import logging
from typing import Optional
from .types import CheckerTaskMessage, EnoLogMessage
LOGGING_PREFIX = "##ENOLOGMESSAGE "
| 37.6 | 83 | 0.619439 |
57a95284d7934e75842077f077664e4ddceff207 | 3,191 | py | Python | examples/experimental/scala-parallel-recommendation-entitymap/data/import_eventserver.py | pferrel/incubator-predictionio | 4b2fb7c1b6a1cd1027a4c03e6ae1af223c8e634c | [
"Apache-2.0"
] | 2 | 2017-03-10T03:03:14.000Z | 2017-07-03T02:38:42.000Z | examples/experimental/scala-parallel-recommendation-entitymap/data/import_eventserver.py | michaelzzh/LF_PredictionIO | 98bfd4d75efaab7633697f12e31e791660dbd61a | [
"Apache-2.0"
] | null | null | null | examples/experimental/scala-parallel-recommendation-entitymap/data/import_eventserver.py | michaelzzh/LF_PredictionIO | 98bfd4d75efaab7633697f12e31e791660dbd61a | [
"Apache-2.0"
] | null | null | null | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 29.546296 | 74 | 0.651833 |
57a9b2141377677285fd56333b0647b258ef25b3 | 1,240 | py | Python | lib/ReadCsv.py | cxd/wave_weather_data_python | 3b50137f6f8b185dd5f5672feb9645e179bc1490 | [
"MIT"
] | null | null | null | lib/ReadCsv.py | cxd/wave_weather_data_python | 3b50137f6f8b185dd5f5672feb9645e179bc1490 | [
"MIT"
] | null | null | null | lib/ReadCsv.py | cxd/wave_weather_data_python | 3b50137f6f8b185dd5f5672feb9645e179bc1490 | [
"MIT"
] | null | null | null | import os as os
from pandas import pandas as p
from pandas.compat import StringIO, BytesIO
| 31 | 90 | 0.596774 |
57aa9b57ce3b4678b56fb8cf872403039e20b2b9 | 1,364 | py | Python | 01.py | dataquanty/ArtWorkWaves | 0cc5c47bf4a0c9669a0721c313d96beb046c3134 | [
"MIT"
] | null | null | null | 01.py | dataquanty/ArtWorkWaves | 0cc5c47bf4a0c9669a0721c313d96beb046c3134 | [
"MIT"
] | null | null | null | 01.py | dataquanty/ArtWorkWaves | 0cc5c47bf4a0c9669a0721c313d96beb046c3134 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 30 15:28:09 2018
@author: dataquanty
"""
import numpy as np
from math import sqrt, pi, acos,cos
from matplotlib import pyplot as plt
from scipy.misc import imsave
from bisect import bisect_left
h , w = 1000, 1000
img = np.ones((h,w))
center = (... | 21.650794 | 58 | 0.519062 |
57adf597c9133c7c09f33507918c2763c2027900 | 1,083 | py | Python | docs/conf.py | jrosser/mitogen | 898c06f1b9f1417b9f7c18465bee78eda7df2ec0 | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | jrosser/mitogen | 898c06f1b9f1417b9f7c18465bee78eda7df2ec0 | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | jrosser/mitogen | 898c06f1b9f1417b9f7c18465bee78eda7df2ec0 | [
"BSD-3-Clause"
] | null | null | null | import os
import sys
sys.path.append('..')
import mitogen
VERSION = '%s.%s.%s' % mitogen.__version__
author = u'David Wilson'
copyright = u'2018, David Wilson'
exclude_patterns = ['_build']
extensions = ['sphinx.ext.autodoc', 'sphinx.ext.intersphinx', 'sphinxcontrib.programoutput']
html_show_sourcelink = False
html_s... | 27.075 | 143 | 0.720222 |
57af48c7c6ce730f18de8225a93c02bfa45f922d | 1,741 | py | Python | src/pkg/caendr/caendr/models/sql/wormbase_gene_summary.py | AndersenLab/CAENDR | ce4cdb74db736db8226ffc90988959b71b0d5ff5 | [
"MIT"
] | 3 | 2022-02-09T07:04:37.000Z | 2022-03-11T02:46:35.000Z | src/pkg/caendr/caendr/models/sql/wormbase_gene_summary.py | AndersenLab/CAENDR | ce4cdb74db736db8226ffc90988959b71b0d5ff5 | [
"MIT"
] | 4 | 2022-01-28T22:28:08.000Z | 2022-02-11T21:47:15.000Z | src/pkg/caendr/caendr/models/sql/wormbase_gene_summary.py | AndersenLab/CAENDR | ce4cdb74db736db8226ffc90988959b71b0d5ff5 | [
"MIT"
] | 1 | 2022-01-11T03:39:02.000Z | 2022-01-11T03:39:02.000Z | from caendr.services.cloud.postgresql import db
from caendr.models.sql.dict_serializable import DictSerializable
from sqlalchemy import func, or_
from sqlalchemy.ext.hybrid import hybrid_property
| 37.847826 | 90 | 0.711086 |
57b0f06734d5293b4bc104ab02dc176064141a7e | 4,137 | py | Python | gunmel/models.py | zhenkai/xgunicorn | 33fc122fdc9435ba0b6562186d3c86d983eb992a | [
"Apache-2.0"
] | null | null | null | gunmel/models.py | zhenkai/xgunicorn | 33fc122fdc9435ba0b6562186d3c86d983eb992a | [
"Apache-2.0"
] | null | null | null | gunmel/models.py | zhenkai/xgunicorn | 33fc122fdc9435ba0b6562186d3c86d983eb992a | [
"Apache-2.0"
] | 1 | 2020-03-03T04:04:56.000Z | 2020-03-03T04:04:56.000Z | from django.core.exceptions import ValidationError
from django.db import models
from django.forms.models import model_to_dict
from decimal import Decimal
# Create your models here.
| 36.9375 | 126 | 0.664491 |
57b46ec2e0dade46c77d1fce41a387fa6b810a5f | 1,890 | py | Python | xos/api/utility/toscaapi.py | iecedge/xos | 566617f676fedcb2602266191c755d191b37018a | [
"Apache-2.0"
] | null | null | null | xos/api/utility/toscaapi.py | iecedge/xos | 566617f676fedcb2602266191c755d191b37018a | [
"Apache-2.0"
] | null | null | null | xos/api/utility/toscaapi.py | iecedge/xos | 566617f676fedcb2602266191c755d191b37018a | [
"Apache-2.0"
] | null | null | null | # Copyright 2017-present Open Networking Foundation
#
# 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 agr... | 30.983607 | 86 | 0.679894 |
57b55370970495146667677f66fe08fa5907770e | 952 | py | Python | tests/test_plugins/test_wiki.py | follower46/ashaw-notes | 036f213f032ff7a58cbcfe8c303e9553ec6b3106 | [
"MIT"
] | 4 | 2017-08-15T13:29:06.000Z | 2019-04-24T01:31:25.000Z | tests/test_plugins/test_wiki.py | follower46/ashaw-notes | 036f213f032ff7a58cbcfe8c303e9553ec6b3106 | [
"MIT"
] | 51 | 2017-08-13T03:58:41.000Z | 2018-01-29T21:21:57.000Z | tests/test_plugins/test_wiki.py | follower46/ashaw-notes | 036f213f032ff7a58cbcfe8c303e9553ec6b3106 | [
"MIT"
] | 5 | 2017-08-15T01:46:33.000Z | 2019-01-07T21:43:24.000Z | """ Testing Wiki Module
"""
import unittest
from ddt import ddt, data, unpack
from ashaw_notes.plugins.wiki import Plugin
| 28.848485 | 98 | 0.609244 |
57b6388ade74fa7db2072594bfcd80032ccdd8ef | 5,956 | py | Python | cppcheck_junit.py | PfannenHans/cppcheck-junit | 8f29ac91ea50c11d90a4a3c012aedb7687d835fb | [
"MIT"
] | 8 | 2016-03-19T12:32:11.000Z | 2021-12-06T18:36:10.000Z | cppcheck_junit.py | PfannenHans/cppcheck-junit | 8f29ac91ea50c11d90a4a3c012aedb7687d835fb | [
"MIT"
] | 16 | 2016-04-11T13:36:22.000Z | 2022-03-30T11:41:35.000Z | cppcheck_junit.py | PfannenHans/cppcheck-junit | 8f29ac91ea50c11d90a4a3c012aedb7687d835fb | [
"MIT"
] | 8 | 2015-11-20T16:27:07.000Z | 2022-03-28T12:46:17.000Z | #!/usr/bin/env python3
"""Converts Cppcheck XML version 2 output to JUnit XML format."""
import argparse
import collections
from datetime import datetime
import os
from socket import gethostname
import sys
from typing import Dict, List
from xml.etree import ElementTree
from exitstatus import ExitStatus
def parse... | 32.021505 | 98 | 0.633647 |
57b7e56d2bb65164490572ca122f372afa976572 | 2,440 | py | Python | apps/core/tests/conftest.py | techlib/czechelib-stats | ca132e326af0924740a525710474870b1fb5fd37 | [
"MIT"
] | 1 | 2019-12-12T15:38:42.000Z | 2019-12-12T15:38:42.000Z | apps/core/tests/conftest.py | techlib/czechelib-stats | ca132e326af0924740a525710474870b1fb5fd37 | [
"MIT"
] | null | null | null | apps/core/tests/conftest.py | techlib/czechelib-stats | ca132e326af0924740a525710474870b1fb5fd37 | [
"MIT"
] | null | null | null | import pytest
from django.conf import settings
from django.contrib.auth import get_user_model
from django.contrib.sites.models import Site
from core.models import Identity
from organizations.models import Organization
__all__ = [
'admin_identity',
'master_client',
'master_identity',
'authent... | 25.154639 | 88 | 0.702459 |
57b8a501dc93a41633bfea6eb1b0e55e7388ace2 | 4,041 | py | Python | tests/test_descriptor.py | OlivierBeq/ProDEC | b3723bc54a5a7ab4eedf2ab9a23a210e935b05fe | [
"MIT"
] | null | null | null | tests/test_descriptor.py | OlivierBeq/ProDEC | b3723bc54a5a7ab4eedf2ab9a23a210e935b05fe | [
"MIT"
] | null | null | null | tests/test_descriptor.py | OlivierBeq/ProDEC | b3723bc54a5a7ab4eedf2ab9a23a210e935b05fe | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Tests for Descriptor."""
import unittest
import numpy as np
import orjson
from prodec import Descriptor
from prodec.utils import std_amino_acids
from tests.constants import *
| 42.536842 | 105 | 0.59218 |
57ba16515c786535378110b8430cbadfa8476104 | 310 | py | Python | mmdet/apis/__init__.py | ar90n/ttfnet | 99dbfa888f90c8161c2c1666b2d17cdb144dbc30 | [
"Apache-2.0"
] | 36 | 2019-06-17T02:00:36.000Z | 2022-03-10T07:54:07.000Z | mmdet/apis/__init__.py | ar90n/ttfnet | 99dbfa888f90c8161c2c1666b2d17cdb144dbc30 | [
"Apache-2.0"
] | 6 | 2020-03-17T03:53:53.000Z | 2022-03-30T07:57:40.000Z | mmdet/apis/__init__.py | ar90n/ttfnet | 99dbfa888f90c8161c2c1666b2d17cdb144dbc30 | [
"Apache-2.0"
] | 4 | 2019-06-17T02:00:35.000Z | 2021-09-22T14:44:29.000Z | from .env import get_root_logger, init_dist, set_random_seed
from .inference import inference_detector, init_detector, show_result
from .train import train_detector
__all__ = [
'init_dist', 'get_root_logger', 'set_random_seed', 'train_detector',
'init_detector', 'inference_detector', 'show_result'
]
| 34.444444 | 72 | 0.787097 |
57ba713a68ba9ecdd9ab3196a36b1f0bcef50142 | 1,544 | py | Python | tree.py | joshedler/ct2ad | 39dfce6191c8993a43a0ebb12e5d0847c3e63e4c | [
"MIT"
] | null | null | null | tree.py | joshedler/ct2ad | 39dfce6191c8993a43a0ebb12e5d0847c3e63e4c | [
"MIT"
] | null | null | null | tree.py | joshedler/ct2ad | 39dfce6191c8993a43a0ebb12e5d0847c3e63e4c | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
'''
Examine a CherryTree SQLite database and print out the tree in proper heirarchical form and sequence.
'''
import argparse
import colorama
from colorama import Fore, Back, Style
import sqlite3
from ct2ad import *
def print_xc_node(xc_node, level):
'''
Print the node information to... | 24.507937 | 159 | 0.723446 |
57bb5336b2ed0566151bd0a0cc733ef2af64f5fa | 2,559 | py | Python | sparse_entertainment.py | synergetics/nest_expermiments | 39c50fe7d4713b9d0a8e4618a829d94b4fe7456c | [
"MIT"
] | null | null | null | sparse_entertainment.py | synergetics/nest_expermiments | 39c50fe7d4713b9d0a8e4618a829d94b4fe7456c | [
"MIT"
] | null | null | null | sparse_entertainment.py | synergetics/nest_expermiments | 39c50fe7d4713b9d0a8e4618a829d94b4fe7456c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
sys.path.append('/opt/lib/python2.7/site-packages/')
import math
import numpy as np
import pylab
import nest
import nest.raster_plot
import nest.voltage_trace
import nest.topology as tp
import ggplot
t_sim = 500
populations = [1, 100]
no_recurrent = True
neuron_model = 'iaf_psc_e... | 20.804878 | 82 | 0.657288 |
57bd452b6b5ced5e7d55432fe628cd4930c57a5d | 21,008 | py | Python | management/views.py | EsraelDawit-a/Drims-Fse-Project | a68d842e947450bc27711a6acab89ec8e3ba3b03 | [
"MIT"
] | null | null | null | management/views.py | EsraelDawit-a/Drims-Fse-Project | a68d842e947450bc27711a6acab89ec8e3ba3b03 | [
"MIT"
] | null | null | null | management/views.py | EsraelDawit-a/Drims-Fse-Project | a68d842e947450bc27711a6acab89ec8e3ba3b03 | [
"MIT"
] | null | null | null | from django.shortcuts import render,redirect,get_object_or_404
from .forms import *
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from .models import *
from django.views.generic import DetailView,DeleteView
from django.urls import reverse_lazy
from test2.notification impo... | 34.839138 | 169 | 0.623048 |
57bd96ec29c38dc1f3e044540afbb8ecbffccd50 | 106 | py | Python | dogpile/__init__.py | dhellmann/dogpile.cache | 03cbee8b9a812a78a37fe1d54edafe848f696737 | [
"MIT"
] | null | null | null | dogpile/__init__.py | dhellmann/dogpile.cache | 03cbee8b9a812a78a37fe1d54edafe848f696737 | [
"MIT"
] | null | null | null | dogpile/__init__.py | dhellmann/dogpile.cache | 03cbee8b9a812a78a37fe1d54edafe848f696737 | [
"MIT"
] | null | null | null | __version__ = '0.9.3'
from .lock import Lock # noqa
from .lock import NeedRegenerationException # noqa
| 21.2 | 51 | 0.745283 |
57bde5b7260543357976e429b49a59520729133b | 1,550 | py | Python | pyssian/tests/test_chemistryutils.py | maserasgroup-repo/pyssian | b80b216e24391db807a09518a237f94fa894a648 | [
"MIT"
] | 15 | 2021-07-07T16:25:26.000Z | 2022-03-19T11:58:23.000Z | pyssian/tests/test_chemistryutils.py | maserasgroup-repo/pyssian | b80b216e24391db807a09518a237f94fa894a648 | [
"MIT"
] | 9 | 2021-07-28T22:09:07.000Z | 2022-01-17T08:03:15.000Z | pyssian/tests/test_chemistryutils.py | maserasgroup-repo/pyssian | b80b216e24391db807a09518a237f94fa894a648 | [
"MIT"
] | null | null | null | from pyssian.chemistryutils import is_basis,is_method
import unittest
| 46.969697 | 102 | 0.674839 |
57bf94c1f54bb6b9683e423a8cf8f0e42b9b2cad | 4,415 | py | Python | custom_components/life360/life360.py | nicholas-sly/life360 | 5e537b0764ba06a9cfdde7e83fc0a742909df1d9 | [
"MIT"
] | null | null | null | custom_components/life360/life360.py | nicholas-sly/life360 | 5e537b0764ba06a9cfdde7e83fc0a742909df1d9 | [
"MIT"
] | null | null | null | custom_components/life360/life360.py | nicholas-sly/life360 | 5e537b0764ba06a9cfdde7e83fc0a742909df1d9 | [
"MIT"
] | null | null | null | # This is what requests does.
try:
import simplejson as json
except ImportError:
import json
import logging
import requests
from .exceptions import *
_PROTOCOL = 'https://'
_BASE_URL = '{}api.life360.com/v3/'.format(_PROTOCOL)
_TOKEN_URL = _BASE_URL + 'oauth2/token.json'
_CIRCLES_URL = _BASE_URL + 'circles.j... | 37.735043 | 77 | 0.604757 |
57c14c8998061fad84c8b010eef9803262de092d | 328 | py | Python | pandas_selectable/tests/conftest.py | jseabold/pandas-select | 0dc5fac465db8348bf3d1cc69d9f7c4fe28896e1 | [
"BSD-3-Clause"
] | 28 | 2020-09-08T04:38:01.000Z | 2022-02-05T21:47:52.000Z | pandas_selectable/tests/conftest.py | jseabold/pandas-select | 0dc5fac465db8348bf3d1cc69d9f7c4fe28896e1 | [
"BSD-3-Clause"
] | 8 | 2020-09-04T21:29:57.000Z | 2021-11-17T16:44:42.000Z | pandas_selectable/tests/conftest.py | jseabold/pandas-select | 0dc5fac465db8348bf3d1cc69d9f7c4fe28896e1 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import pandas as pd
import pytest
| 20.5 | 57 | 0.466463 |
57c2c77af5f13ed7cf14e66f21d8a57ff936dd88 | 2,976 | py | Python | xsoccer/analysis/management/commands/analysis4.py | awyrough/xsoccer | 5f3d5f73ede21f6ba3baa0089a821b0a8d151b8d | [
"MIT"
] | null | null | null | xsoccer/analysis/management/commands/analysis4.py | awyrough/xsoccer | 5f3d5f73ede21f6ba3baa0089a821b0a8d151b8d | [
"MIT"
] | null | null | null | xsoccer/analysis/management/commands/analysis4.py | awyrough/xsoccer | 5f3d5f73ede21f6ba3baa0089a821b0a8d151b8d | [
"MIT"
] | null | null | null | """
Objectives:
- Which players pass together the most?
- What types of position combintations are most frequent in pass-sequences?
"""
"""
Sample Run Script: python manage.py analysis3 --team_uuid="t1326"
--print_to_csv
python manage.py analysis4 --team_uuid="t1326" --start_date="2016-07-01"
python ... | 30.367347 | 102 | 0.685148 |
57c4c8bc27d5ede3ee5ab749d40ffd70c1be34a7 | 1,474 | py | Python | api/classes/portfolio.py | alexander-schilling/fintual_test | 3a8a3cd17dea4a7a1203eb1cd58a2af411700207 | [
"MIT"
] | null | null | null | api/classes/portfolio.py | alexander-schilling/fintual_test | 3a8a3cd17dea4a7a1203eb1cd58a2af411700207 | [
"MIT"
] | null | null | null | api/classes/portfolio.py | alexander-schilling/fintual_test | 3a8a3cd17dea4a7a1203eb1cd58a2af411700207 | [
"MIT"
] | null | null | null | from .stock import Stock
| 28.901961 | 77 | 0.627544 |
57c64dbce81aa32c7cfedf4dddca84cc3b07269f | 4,694 | py | Python | examples/ConsumptionSaving/example_ConsMedModel.py | HsinYiHung/HARK_HY | 086c46af5bd037fe1ced6906c6ea917ed58b134f | [
"Apache-2.0"
] | null | null | null | examples/ConsumptionSaving/example_ConsMedModel.py | HsinYiHung/HARK_HY | 086c46af5bd037fe1ced6906c6ea917ed58b134f | [
"Apache-2.0"
] | null | null | null | examples/ConsumptionSaving/example_ConsMedModel.py | HsinYiHung/HARK_HY | 086c46af5bd037fe1ced6906c6ea917ed58b134f | [
"Apache-2.0"
] | null | null | null | # %%
from HARK.utilities import CRRAutility_inv
from time import time
import matplotlib.pyplot as plt
import numpy as np
from HARK.ConsumptionSaving.ConsMedModel import MedShockConsumerType
# %%
mystr = lambda number: "{:.4f}".format(number)
# %%
do_simulation = True
# %% [markdown]
# This module defines consumption... | 36.671875 | 333 | 0.679165 |
57c8b90994148c8460b99ab3bc8d5a19736e8281 | 25,325 | py | Python | cogs/general.py | xthecoolboy/MizaBOT | fb8a449bde29fdf1d32b5a597e48e6b3463dd867 | [
"MIT"
] | null | null | null | cogs/general.py | xthecoolboy/MizaBOT | fb8a449bde29fdf1d32b5a597e48e6b3463dd867 | [
"MIT"
] | null | null | null | cogs/general.py | xthecoolboy/MizaBOT | fb8a449bde29fdf1d32b5a597e48e6b3463dd867 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
import asyncio
import aiohttp
import random
from datetime import datetime, timedelta
import math
import json
# #####################################################################################
# math parser used by $calc
# ###############################... | 48.701923 | 226 | 0.536387 |
57ca6b765a520ecf380512aee08b9a30756ae5fb | 1,481 | py | Python | 2019-2020/MATH_1301_Python/Zork/barriers.py | TSoGiants/Foundations | 4546c9ee7be802e4c48ab8b1bab60869ea89e6a6 | [
"Unlicense"
] | null | null | null | 2019-2020/MATH_1301_Python/Zork/barriers.py | TSoGiants/Foundations | 4546c9ee7be802e4c48ab8b1bab60869ea89e6a6 | [
"Unlicense"
] | null | null | null | 2019-2020/MATH_1301_Python/Zork/barriers.py | TSoGiants/Foundations | 4546c9ee7be802e4c48ab8b1bab60869ea89e6a6 | [
"Unlicense"
] | null | null | null | #####################
### Base classes. ###
#####################
######################
### Child classes. ###
###################### | 25.101695 | 56 | 0.519919 |
57cc2589e042bfe3b9f204e55c44c76092d692cc | 1,171 | py | Python | etc/n_CR/Vmc_lo/load_Vsw.py | jimsrc/seatos | e775dba1a2a96ff44b837cf8d85101ccfef302b1 | [
"MIT"
] | null | null | null | etc/n_CR/Vmc_lo/load_Vsw.py | jimsrc/seatos | e775dba1a2a96ff44b837cf8d85101ccfef302b1 | [
"MIT"
] | null | null | null | etc/n_CR/Vmc_lo/load_Vsw.py | jimsrc/seatos | e775dba1a2a96ff44b837cf8d85101ccfef302b1 | [
"MIT"
] | 1 | 2018-10-02T17:51:57.000Z | 2018-10-02T17:51:57.000Z | #!/usr/bin/env ipython
import numpy as np
#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
sh, mc = gral(), gral()
cr = gral()
cr.sh, cr.mc = gral(), gral()
vlo, vhi = 550.0, 3000.0 #550., 3000. #100.0, 450.0 #550.0, 3000.0
dir_inp_sh = '../../../sheaths/ascii/MCflag... | 32.527778 | 92 | 0.562767 |
57cc2ecd156c278de2ca18c760107a89d6f9b534 | 3,090 | py | Python | tools/radar_img_per_sim.py | mgaggero/tdm-tools | 525dc643c2fe90e29c6cdde6568174ab396893b6 | [
"Apache-2.0"
] | null | null | null | tools/radar_img_per_sim.py | mgaggero/tdm-tools | 525dc643c2fe90e29c6cdde6568174ab396893b6 | [
"Apache-2.0"
] | 5 | 2018-11-28T11:02:58.000Z | 2019-02-07T09:55:26.000Z | tools/radar_img_per_sim.py | mgaggero/tdm-tools | 525dc643c2fe90e29c6cdde6568174ab396893b6 | [
"Apache-2.0"
] | 5 | 2018-10-23T08:07:53.000Z | 2019-08-07T07:08:20.000Z | # Copyright 2018-2019 CRS4
#
# 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 agreed to in writing, softwa... | 31.85567 | 78 | 0.630097 |
57ccea073806c8789604eca66fcde66c4dcb3d14 | 2,598 | py | Python | server/base/views.py | arubdesu/zentral | ac0fe663f6e1c27f9a9f55a7500a87e6ac7d9190 | [
"Apache-2.0"
] | 634 | 2015-10-30T00:55:40.000Z | 2022-03-31T02:59:00.000Z | server/base/views.py | arubdesu/zentral | ac0fe663f6e1c27f9a9f55a7500a87e6ac7d9190 | [
"Apache-2.0"
] | 145 | 2015-11-06T00:17:33.000Z | 2022-03-16T13:30:31.000Z | server/base/views.py | arubdesu/zentral | ac0fe663f6e1c27f9a9f55a7500a87e6ac7d9190 | [
"Apache-2.0"
] | 103 | 2015-11-07T07:08:49.000Z | 2022-03-18T17:34:36.000Z | import logging
from django.apps import apps
from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import Http404, HttpResponse, JsonResponse
from django.views.generic import TemplateView, View
from zentral.core.stores import frontend_store
logger = logging.getLogger("server.base.views")
| 36.083333 | 115 | 0.560046 |
57ccef5f4b39231aa2dfe0a1c954a8f2a2181361 | 176,775 | py | Python | map.py | zihoffman7/online-world-explorer-game | 9bf1d47491bf6175ec330e4e88eeb5e349c84a4a | [
"Apache-2.0"
] | null | null | null | map.py | zihoffman7/online-world-explorer-game | 9bf1d47491bf6175ec330e4e88eeb5e349c84a4a | [
"Apache-2.0"
] | null | null | null | map.py | zihoffman7/online-world-explorer-game | 9bf1d47491bf6175ec330e4e88eeb5e349c84a4a | [
"Apache-2.0"
] | null | null | null | g1 = "#5d9e6d"
g2 = "#549464"
g3 = "#498758"
g4 = "#3d784b"
b1 = "#5f7ab8"
b2 = "#5a70a3"
b3 = "#4d67a3"
r4 = "#262626"
w1 = "#f0f0f0"
w2 = "#d9d9d9"
w3 = "#e6e6e6"
r1 = "#707070"
r2 = "#595959"
r3 = "#404040"
r4 = "#262626"
l1 = "#d95757"
l2 = "#d99457"
l3 = "#d97857"
v1 = "#664f47"
v2 = "#4a3d39"
v3 = "#382f2c"
v4 = ... | 169.649712 | 364 | 0.316719 |
57cd044d651756a4e1a9d230a6483c3f90d186bf | 172,689 | py | Python | facts.py | Dev-solutions100/google-search-webhook | b50132f4effc82148ebfe543e15a5a2b42b92b3b | [
"Apache-2.0"
] | null | null | null | facts.py | Dev-solutions100/google-search-webhook | b50132f4effc82148ebfe543e15a5a2b42b92b3b | [
"Apache-2.0"
] | null | null | null | facts.py | Dev-solutions100/google-search-webhook | b50132f4effc82148ebfe543e15a5a2b42b92b3b | [
"Apache-2.0"
] | null | null | null | useless_facts = ["Most American car horns honk in the key of F.",
"The name Wendy was made up for the book 'Peter Pan.'",
"Barbie's full name is Barbara Millicent Roberts.",
"Every time you lick a stamp, you consume 1/10 of a calorie.",
"The average person falls asleep in seven minutes.",
"Studies s... | 307.823529 | 104,781 | 0.736665 |
57cd64fc8fb4418f591748f78bcb5ab458e9e1df | 1,502 | py | Python | libqtile/widget/she.py | CharString/qtile | 7dc1448fa866d4c3a2a5c2738c5cf3fcd10b0631 | [
"MIT"
] | 1 | 2015-03-02T21:18:17.000Z | 2015-03-02T21:18:17.000Z | libqtile/widget/she.py | WnP/qtile | 7b3b21d602320df3a43155814e112c850f660fa9 | [
"MIT"
] | null | null | null | libqtile/widget/she.py | WnP/qtile | 7b3b21d602320df3a43155814e112c850f660fa9 | [
"MIT"
] | null | null | null | from libqtile.widget import base
from libqtile import bar, hook
__all__ = ['She']
| 31.291667 | 77 | 0.561252 |
57cf0026e0267dca377d75719db241beafb88f18 | 1,490 | py | Python | bench/bench_queue.py | coleifer/ukt | 9440b17046f8e301f85d5c385a84fa4e7cc8ebcf | [
"MIT"
] | 10 | 2019-07-16T15:04:33.000Z | 2021-02-11T03:49:09.000Z | bench/bench_queue.py | coleifer/ukt | 9440b17046f8e301f85d5c385a84fa4e7cc8ebcf | [
"MIT"
] | null | null | null | bench/bench_queue.py | coleifer/ukt | 9440b17046f8e301f85d5c385a84fa4e7cc8ebcf | [
"MIT"
] | 1 | 2021-02-07T15:22:09.000Z | 2021-02-07T15:22:09.000Z | #!/usr/bin/env python
from contextlib import contextmanager
import os
import sys
import time
srcdir = os.path.dirname(os.path.dirname(__file__))
sys.path.insert(0, srcdir)
from ukt import *
script = os.path.join(srcdir, 'scripts/kt.lua')
server = EmbeddedServer(database='%', server_args=['-scr', script],
... | 19.605263 | 69 | 0.613423 |
57cf71e94609fd85e48613dd288c7fef9e5aa2fe | 2,260 | py | Python | nicos_ess/labs/chop_embla/setups/skf_chopper.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 12 | 2019-11-06T15:40:36.000Z | 2022-01-01T16:23:00.000Z | nicos_ess/labs/chop_embla/setups/skf_chopper.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 91 | 2020-08-18T09:20:26.000Z | 2022-02-01T11:07:14.000Z | nicos_ess/labs/chop_embla/setups/skf_chopper.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 6 | 2020-01-11T10:52:30.000Z | 2022-02-25T12:35:23.000Z | description = 'Some kind of SKF chopper'
pv_root = 'LabS-Embla:Chop-Drv-0601:'
devices = dict(
skf_drive_temp=device('nicos.devices.epics.pva.EpicsReadable',
description='Drive temperature',
readpv='{}DrvTmp_Stat'.format(pv_root),
monitor=True,
),
skf_motor_temp=device('nicos.devic... | 33.731343 | 69 | 0.611504 |
57cfdc5a603f9e7b2137dd0276b55ce9493be7c5 | 16 | py | Python | external/netdef_models/netdef_slim/evolutions/__init__.py | zhuhu00/MOTSFusion_modify | 190224a7c3fbded69fedf9645a0ebbf08227fb6d | [
"MIT"
] | null | null | null | external/netdef_models/netdef_slim/evolutions/__init__.py | zhuhu00/MOTSFusion_modify | 190224a7c3fbded69fedf9645a0ebbf08227fb6d | [
"MIT"
] | null | null | null | external/netdef_models/netdef_slim/evolutions/__init__.py | zhuhu00/MOTSFusion_modify | 190224a7c3fbded69fedf9645a0ebbf08227fb6d | [
"MIT"
] | null | null | null | nothing = None
| 5.333333 | 14 | 0.6875 |
57cfe9cbd14de3c1d66f6b0d1a90693c4bb4239e | 1,623 | py | Python | chapter_08/05_alphabetic_tel_number.py | SergeHall/Tony-Gaddis-Python-4th | 24e7c70fbd196ff531a5e4e7f6f5021c4b4177ba | [
"MIT"
] | 2 | 2021-04-07T03:26:37.000Z | 2021-07-26T07:38:49.000Z | chapter_08/05_alphabetic_tel_number.py | SergeHall/Tony-Gaddis-Python-4th | 24e7c70fbd196ff531a5e4e7f6f5021c4b4177ba | [
"MIT"
] | null | null | null | chapter_08/05_alphabetic_tel_number.py | SergeHall/Tony-Gaddis-Python-4th | 24e7c70fbd196ff531a5e4e7f6f5021c4b4177ba | [
"MIT"
] | null | null | null | # # 5. .
# # 555-GET-FOOD, .
# #
# # : , =2 ; D, F=. phone_num = input('nnn-XXX-XXXX. n-
# , X - : ')
main()
| 33.122449 | 85 | 0.479359 |