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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
caab073dbfab127f4fb02cfb6a42eb41a7a18c2b | 443 | py | Python | Python/MaxSumInSlidingWindow.py | ChanderJindal/Data_Structure_and_Algorithms | 8268a5b8be6bc967af41d1985db1224d6c6afc5e | [
"MIT"
] | 14 | 2019-10-26T11:43:56.000Z | 2021-01-23T00:37:17.000Z | Python/MaxSumInSlidingWindow.py | ChanderJindal/Data_Structure_and_Algorithms | 8268a5b8be6bc967af41d1985db1224d6c6afc5e | [
"MIT"
] | 28 | 2019-10-13T17:49:42.000Z | 2020-11-15T07:08:10.000Z | Python/MaxSumInSlidingWindow.py | ChanderJindal/Data_Structure_and_Algorithms | 8268a5b8be6bc967af41d1985db1224d6c6afc5e | [
"MIT"
] | 73 | 2019-10-11T06:38:10.000Z | 2022-01-26T20:04:24.000Z | import math
# this algorithm calculates the maximum sum present in the sublists of length k
# in the array
nums=list(map(int,input("enter the elements of the list\n").split()))
k=int(input("enter the size of the window :"))
cursum=sum(nums[:k])
maxsum= cursum
for i in range(1,len(nums)-k):
cursum=cursum-nums[i-1]+n... | 27.6875 | 79 | 0.704289 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 179 | 0.404063 |
caabe05d542fa1d4213fb15dc48b72856aee1f2d | 748 | py | Python | tests/configs/learning-gem5-p1-two-level.py | samgh1230/gem5 | 01c41ec521352ccd6e857aa2bed808d38557b40d | [
"BSD-3-Clause"
] | 3 | 2017-11-19T06:49:54.000Z | 2018-12-26T18:08:11.000Z | tests/configs/learning-gem5-p1-two-level.py | samgh1230/gem5 | 01c41ec521352ccd6e857aa2bed808d38557b40d | [
"BSD-3-Clause"
] | 1 | 2020-08-20T05:53:30.000Z | 2020-08-20T05:53:30.000Z | tests/configs/learning-gem5-p1-two-level.py | samgh1230/gem5 | 01c41ec521352ccd6e857aa2bed808d38557b40d | [
"BSD-3-Clause"
] | 6 | 2016-07-31T18:48:18.000Z | 2022-03-06T22:41:28.000Z |
# A wrapper around configs/learning_gem5/part1/two_level.py
# For some reason, this is implicitly needed by run.py
root = None
import m5
def run_test(root):
# Called from tests/run.py
# Add paths that we need
m5.util.addToPath('../configs/learning_gem5/part1')
m5.util.addToPath('../... | 29.92 | 76 | 0.653743 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 515 | 0.688503 |
caaccb98746ecf642948cea481675b0e4f50f8ca | 13,233 | py | Python | src/stactools/landsat/mtl_metadata.py | pjhartzell/landsat | 56c1cdd4343a9ce44607b5f5b33def5278eca3a4 | [
"Apache-2.0"
] | null | null | null | src/stactools/landsat/mtl_metadata.py | pjhartzell/landsat | 56c1cdd4343a9ce44607b5f5b33def5278eca3a4 | [
"Apache-2.0"
] | null | null | null | src/stactools/landsat/mtl_metadata.py | pjhartzell/landsat | 56c1cdd4343a9ce44607b5f5b33def5278eca3a4 | [
"Apache-2.0"
] | null | null | null | from collections import defaultdict
from datetime import datetime
from typing import Any, Dict, List, Optional
from pyproj import Geod
from pystac.utils import str_to_datetime
from stactools.core.io import ReadHrefModifier
from stactools.core.io.xml import XmlElement
from stactools.core.projection import transform_fro... | 37.808571 | 153 | 0.607194 | 12,859 | 0.971737 | 0 | 0 | 11,753 | 0.888158 | 0 | 0 | 5,296 | 0.400212 |
caace811c3bf865e13c6bf1803446ce42c096a7e | 2,079 | py | Python | lib/galaxy/model/orm/ext/assignmapper.py | thata/galaxy-dist | 6c3ffa064faf0c500f5594ed7b58ed839b00f337 | [
"CC-BY-3.0"
] | 2 | 2016-02-23T00:09:14.000Z | 2019-02-11T07:48:44.000Z | lib/galaxy/model/orm/ext/assignmapper.py | thata/galaxy-dist | 6c3ffa064faf0c500f5594ed7b58ed839b00f337 | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/model/orm/ext/assignmapper.py | thata/galaxy-dist | 6c3ffa064faf0c500f5594ed7b58ed839b00f337 | [
"CC-BY-3.0"
] | 6 | 2015-05-27T13:09:50.000Z | 2019-02-11T07:48:46.000Z | """
This is similar to the assignmapper extensions in SQLAclhemy 0.3 and 0.4 but
with some compatibility fixes. It assumes that the session is a ScopedSession,
and thus has the "mapper" method to attach contextual mappers to a class. It
adds additional query and session methods to the class to support the
SQLAlchemy 0.... | 41.58 | 87 | 0.662338 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 761 | 0.366041 |
caad7ba8a2fcd067353d0063eebca93ac75d8669 | 2,191 | py | Python | wrappers.py | cross32768/PlaNet_PyTorch | 022baf724b52bf79e610f9d7a31e4195d6be6455 | [
"MIT"
] | 26 | 2019-12-30T06:45:16.000Z | 2022-03-18T02:00:15.000Z | wrappers.py | cross32768/PlaNet_PyTorch | 022baf724b52bf79e610f9d7a31e4195d6be6455 | [
"MIT"
] | 7 | 2019-12-29T14:46:36.000Z | 2020-01-01T09:11:34.000Z | wrappers.py | cross32768/PlaNet_PyTorch | 022baf724b52bf79e610f9d7a31e4195d6be6455 | [
"MIT"
] | 3 | 2020-05-23T17:23:22.000Z | 2020-10-27T18:03:58.000Z | import gym
import numpy as np
from viewer import OpenCVImageViewer
class GymWrapper(object):
"""
Gym interface wrapper for dm_control env wrapped by pixels.Wrapper
"""
metadata = {'render.modes': ['human', 'rgb_array']}
reward_range = (-np.inf, np.inf)
def __init__(self, env):
self._e... | 28.089744 | 89 | 0.600639 | 2,118 | 0.966682 | 0 | 0 | 343 | 0.15655 | 0 | 0 | 240 | 0.109539 |
caaded4bd578289725713128513fb77368214fe1 | 229 | py | Python | run.py | mdasari823/fastmot-copy | 28c50cdd9f816b94a6d463bad3ac897701c4e6e8 | [
"MIT"
] | null | null | null | run.py | mdasari823/fastmot-copy | 28c50cdd9f816b94a6d463bad3ac897701c4e6e8 | [
"MIT"
] | 1 | 2021-12-23T07:26:12.000Z | 2021-12-23T07:26:12.000Z | run.py | mdasari823/fastmot-copy | 28c50cdd9f816b94a6d463bad3ac897701c4e6e8 | [
"MIT"
] | null | null | null | import os
for run in range(1, 17):
print (run)
os.system('python3 app.py --input_uri ../camloc/oct22/'+str(run)+'.mp4 --mot --gui -l results.txt -o output.mp4')
os.system('mv pixel-locs.txt camera_'+str(run)+'.txt')
| 32.714286 | 117 | 0.637555 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 0.545852 |
cab187b9189478433c28cb351566cfef54a3c790 | 3,175 | py | Python | project/services/views.py | Aleksey-Hugo/Avtoservis-Ulyanovsk-one- | 073cf02eda5efc7ed7598a39bcf62815f2bfeebb | [
"Apache-2.0"
] | 1 | 2021-06-29T13:28:44.000Z | 2021-06-29T13:28:44.000Z | project/services/views.py | Aleksey-Hugo/Avtoservis-Ulyanovsk-one- | 073cf02eda5efc7ed7598a39bcf62815f2bfeebb | [
"Apache-2.0"
] | null | null | null | project/services/views.py | Aleksey-Hugo/Avtoservis-Ulyanovsk-one- | 073cf02eda5efc7ed7598a39bcf62815f2bfeebb | [
"Apache-2.0"
] | null | null | null | from django.shortcuts import render
from . import models
from project import additional_scripts as scripts
from django.http import HttpResponse, JsonResponse
from django.template.loader import render_to_string
from django.views.decorators.csrf import csrf_exempt
import re
# Create your views here.
def get_default_... | 50.396825 | 226 | 0.748976 | 0 | 0 | 0 | 0 | 920 | 0.289764 | 0 | 0 | 334 | 0.105197 |
cab46f38ed7e33ed8da42d9ab11d078861215107 | 11,952 | py | Python | vispy/app/backends/_ipynb_webgl.py | robmcmullen/vispy | 8d5092fdae4a24fc364ae51c7e34e12d3fd6d0a2 | [
"BSD-3-Clause"
] | null | null | null | vispy/app/backends/_ipynb_webgl.py | robmcmullen/vispy | 8d5092fdae4a24fc364ae51c7e34e12d3fd6d0a2 | [
"BSD-3-Clause"
] | null | null | null | vispy/app/backends/_ipynb_webgl.py | robmcmullen/vispy | 8d5092fdae4a24fc364ae51c7e34e12d3fd6d0a2 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2014, Vispy Development Team.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
"""
Vispy backend for the IPython notebook (WebGL approach).
"""
from __future__ import division
from ..base import (BaseApplicationBackend, BaseCanvasBackend,
... | 34.643478 | 79 | 0.556727 | 9,342 | 0.781627 | 0 | 0 | 0 | 0 | 0 | 0 | 2,753 | 0.230338 |
cab4bd43b931381073b462b76ec7bd88985afa84 | 347 | py | Python | dp2.py | bourneagain/pythonBytes | be115162147e52718aacbfb9cd2763aa02754f28 | [
"MIT"
] | 1 | 2017-05-29T02:02:27.000Z | 2017-05-29T02:02:27.000Z | dp2.py | bourneagain/pythonBytes | be115162147e52718aacbfb9cd2763aa02754f28 | [
"MIT"
] | null | null | null | dp2.py | bourneagain/pythonBytes | be115162147e52718aacbfb9cd2763aa02754f28 | [
"MIT"
] | null | null | null | fibMem= {}
a="sam"
def fib(n):
for k in range(1,n+1):
print "k : " + str(k)
if k<=2:
f=1
else:
f=fibMem[k-1]+fibMem[k-2]
print "printing f : " + str(f)
fibMem[k]=f
return fibMem[n]
print fib(1000)
#if __name__ == '__main__':
# import timeit
# print(timeit.timeit("print a", setup="from __m... | 20.411765 | 77 | 0.582133 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 148 | 0.426513 |
cab5e991d555f4eb25c36074f5ce2e555de8a284 | 635 | py | Python | [functions] Time_related.py | 3n5/functions-python | be42f7b2108f8ed481956ce1c1ddc356c4ce17d6 | [
"MIT"
] | 2 | 2020-12-29T06:32:43.000Z | 2020-12-29T06:32:45.000Z | [functions] Time_related.py | h4r3/functions-python | be42f7b2108f8ed481956ce1c1ddc356c4ce17d6 | [
"MIT"
] | null | null | null | [functions] Time_related.py | h4r3/functions-python | be42f7b2108f8ed481956ce1c1ddc356c4ce17d6 | [
"MIT"
] | null | null | null | #Time-related functions 2020/12/22
"""Get elapsed time"""#[関数] プログラムの計測時間の表示
def time_elapsed():
import time
print(__doc__)
start = time.time()
print('== Replace the program you want to time here ==') and time.sleep(1)
end = time.time()
_time=end-start
hour,min,sec=_time//3600,_... | 28.863636 | 79 | 0.637795 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 0.390977 |
cab6c8d8ca6e59ca96641958c8f303e7d2e0cead | 434 | py | Python | backend_sqlalchemy/backend_app/resources/stats.py | jiz148/medical_app | 2f8b3f299ff6a87e62ac7483b6d2bac156a08874 | [
"MIT"
] | null | null | null | backend_sqlalchemy/backend_app/resources/stats.py | jiz148/medical_app | 2f8b3f299ff6a87e62ac7483b6d2bac156a08874 | [
"MIT"
] | null | null | null | backend_sqlalchemy/backend_app/resources/stats.py | jiz148/medical_app | 2f8b3f299ff6a87e62ac7483b6d2bac156a08874 | [
"MIT"
] | null | null | null | from backend_sqlalchemy.backend_app.models.diseases import DiseasesModel
from backend_sqlalchemy.backend_app.db import db
from backend_sqlalchemy.backend_app.models.stats import StatsModel
def get_stats():
"""
Get stats
"""
all_stats = db.session.query(StatsModel.DID, StatsModel.FID, StatsModel.Sen)
... | 24.111111 | 80 | 0.728111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0.057604 |
cab6fe7833f5fec0c5468b98e097935105bdd403 | 6,661 | py | Python | tables/save_global_basin_curves_xls.py | thomasfrederikse/sealevelbudget_20c | eb3155da7255cd7e17cd574464e730b6ba16cb7d | [
"FSFAP"
] | 12 | 2020-08-19T21:32:37.000Z | 2022-02-23T12:35:42.000Z | tables/save_global_basin_curves_xls.py | thomasfrederikse/sealevelbudget_20c | eb3155da7255cd7e17cd574464e730b6ba16cb7d | [
"FSFAP"
] | 1 | 2020-12-09T08:51:00.000Z | 2020-12-09T08:51:00.000Z | tables/save_global_basin_curves_xls.py | thomasfrederikse/sealevelbudget_20c | eb3155da7255cd7e17cd574464e730b6ba16cb7d | [
"FSFAP"
] | null | null | null | # ---------------------------------------------------------
# Save global and basin-mean sea-level curves as Excel file
# Single file per basin
# ---------------------------------------------------------
import numpy as np
import os
import pandas as pd
def main():
settings = {}
settings['dir_data'] = os.gete... | 76.563218 | 236 | 0.629035 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,613 | 0.542411 |
cab7a62a6440c568cac6b6e233a81c664d529376 | 3,053 | py | Python | catalog/views.py | OdidiLavender/FoodWasteManagementProject | a5f339de79c9fb78771197089967caaf2ec1db18 | [
"MIT"
] | null | null | null | catalog/views.py | OdidiLavender/FoodWasteManagementProject | a5f339de79c9fb78771197089967caaf2ec1db18 | [
"MIT"
] | null | null | null | catalog/views.py | OdidiLavender/FoodWasteManagementProject | a5f339de79c9fb78771197089967caaf2ec1db18 | [
"MIT"
] | null | null | null | from multiprocessing import context
from django.shortcuts import render, redirect, get_object_or_404
from django.contrib.auth.decorators import login_required
from .models import Food, Order
from .forms import FoodForm
# Create your views here.
def home_view(request, template='index.html'):
products = Food.objects... | 34.303371 | 65 | 0.603013 | 0 | 0 | 0 | 0 | 1,152 | 0.377334 | 0 | 0 | 381 | 0.124795 |
cab85709d6006c0a36f8149a81345dd85e7eae3b | 971 | py | Python | awsrx/tailer.py | GEUS-PROMICE/awsrx | f593120a3593a0eb5dfe55c49f1ef72263ceeb5a | [
"MIT"
] | 2 | 2020-11-13T08:26:14.000Z | 2021-04-24T17:02:48.000Z | awsrx/tailer.py | GEUS-PROMICE/awsrx | f593120a3593a0eb5dfe55c49f1ef72263ceeb5a | [
"MIT"
] | null | null | null | awsrx/tailer.py | GEUS-PROMICE/awsrx | f593120a3593a0eb5dfe55c49f1ef72263ceeb5a | [
"MIT"
] | 1 | 2021-07-22T08:46:44.000Z | 2021-07-22T08:46:44.000Z | #! /usr/bin/python2.7
#coding=cp850
#mcit@geus.dk
#
#tail the in_files by lines and write them in out_subdir prepending the aws name
#
#TODO: quick hack: clean it up
import glob, sys, os, os.path
from collections import deque
def tailer(in_files, lines_limit, out_subdir='.'):
for path_name, aws_info in in_fi... | 26.972222 | 80 | 0.584964 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 206 | 0.212152 |
cab9ac61743d32c048db9d32b01f12077629c7cb | 403 | py | Python | webapp/detectron/models.py | hasbegun/mask_rcnn | 3e68ca053f00441950bbf441171b6f0a82ddf316 | [
"MIT"
] | null | null | null | webapp/detectron/models.py | hasbegun/mask_rcnn | 3e68ca053f00441950bbf441171b6f0a82ddf316 | [
"MIT"
] | 5 | 2020-03-31T07:10:39.000Z | 2022-02-10T09:09:30.000Z | webapp/detectron/models.py | hasbegun/mask_rcnn | 3e68ca053f00441950bbf441171b6f0a82ddf316 | [
"MIT"
] | null | null | null | from django.db import models
def user_upload_file_path(instance, filename):
"find the path for user upload dir."
return 'user_{0}/{1}'.format(instance.user.id, filename)
class UploadFile(models.Model):
desctiption = models.CharField(max_length=255, blank=True)
upload_file = models.FileField(upload_t... | 31 | 67 | 0.764268 | 220 | 0.545906 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.124069 |
cab9ed4e026d9fabb8a1a1bf7202062d7c63720a | 744 | py | Python | InnovationMaps/urls.py | OnlineS3/5.6.-RIS3-innovation-maps | 118c1460ad13f1d56d5228187a0a570b42944cc6 | [
"MIT"
] | null | null | null | InnovationMaps/urls.py | OnlineS3/5.6.-RIS3-innovation-maps | 118c1460ad13f1d56d5228187a0a570b42944cc6 | [
"MIT"
] | null | null | null | InnovationMaps/urls.py | OnlineS3/5.6.-RIS3-innovation-maps | 118c1460ad13f1d56d5228187a0a570b42944cc6 | [
"MIT"
] | null | null | null | """Innovation Maps URL Configuration
The `urlpatterns` list routes URLs to views.
"""
from django.conf.urls import url
from InnovationMaps.views import *
urlpatterns = [
url(r'^about/$', about, name='innovationmaps_about'),
url(r'^guide/$', guide, name='innovationmaps_guide'),
url(r'^pdf/$', pdf, name='inn... | 39.157895 | 66 | 0.678763 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 408 | 0.548387 |
caba839088d90d9f3c925bdaedf92c7faa434941 | 885 | py | Python | quick_django/main/models.py | masatoman/django_test | a850864e132246cffc9d7e2ad308c68623f79bd0 | [
"MIT"
] | null | null | null | quick_django/main/models.py | masatoman/django_test | a850864e132246cffc9d7e2ad308c68623f79bd0 | [
"MIT"
] | null | null | null | quick_django/main/models.py | masatoman/django_test | a850864e132246cffc9d7e2ad308c68623f79bd0 | [
"MIT"
] | null | null | null | from django.db import models
classBook(models.Model):
isbn = models.CharField(
verbose_name='ISBNコード',
max_length=20
)
title = models.CharField(
verbose_name='書名',
max_length=100
)
price = models.IntegerField(
verbose_name=... | 26.818182 | 62 | 0.463277 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 294 | 0.292537 |
cababfdd4a279ee379d1a2e9140e141a7bd6a78b | 2,892 | py | Python | nc2json_HYCOM_GLBy_forecast.py | cyhsu/leaflet-velocity | 3759902e995b0ebd5047c5558bbbf9887d1ebed0 | [
"MIT"
] | null | null | null | nc2json_HYCOM_GLBy_forecast.py | cyhsu/leaflet-velocity | 3759902e995b0ebd5047c5558bbbf9887d1ebed0 | [
"MIT"
] | null | null | null | nc2json_HYCOM_GLBy_forecast.py | cyhsu/leaflet-velocity | 3759902e995b0ebd5047c5558bbbf9887d1ebed0 | [
"MIT"
] | null | null | null | import os, sys, json
import numpy as np
import xarray as xr
from glob import glob
from datetime import datetime
from netCDF4 import Dataset, num2date, date2num
from scipy.interpolate import griddata
#- HYCOM GLBv0.08/latest (daily-mean) present + forecast
#- Detail info: https://www.hycom.org/dataserver/gofs-3pt1/ana... | 40.166667 | 117 | 0.662863 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 941 | 0.32538 |
cabba8c446bfd820cdac622caa53c5b56ff9c9ae | 663 | py | Python | patch/0000_groups.py | williamcanin/crud-django-cbv | 9f2ede86b9106cc2bbe8b5b027d02e2a6f9cf002 | [
"MIT"
] | 1 | 2021-09-21T12:49:14.000Z | 2021-09-21T12:49:14.000Z | patch/0000_groups.py | williamcanin/crud-django-cbv | 9f2ede86b9106cc2bbe8b5b027d02e2a6f9cf002 | [
"MIT"
] | null | null | null | patch/0000_groups.py | williamcanin/crud-django-cbv | 9f2ede86b9106cc2bbe8b5b027d02e2a6f9cf002 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.7 on 2021-10-02 01:57
# Add this file on migrations "clients"
from django.db import migrations
def apply_migration(apps, schema_editor):
Group = apps.get_model('auth', 'Group')
Group.objects.bulk_create([
Group(name=u'read_only'),
])
def revert_migration(apps, schema_ed... | 21.387097 | 63 | 0.641026 | 193 | 0.291101 | 0 | 0 | 0 | 0 | 0 | 0 | 159 | 0.239819 |
cabf215598b0ef86cd55eda9871b7fe1d2891171 | 1,464 | py | Python | EulerEight.py | vanigupta20024/Programming-Challenges | 578dba33e9f6b04052a503bcb5de9b32f33494a5 | [
"MIT"
] | 14 | 2020-10-15T21:47:18.000Z | 2021-12-01T06:06:51.000Z | EulerEight.py | vanigupta20024/Programming-Challenges | 578dba33e9f6b04052a503bcb5de9b32f33494a5 | [
"MIT"
] | null | null | null | EulerEight.py | vanigupta20024/Programming-Challenges | 578dba33e9f6b04052a503bcb5de9b32f33494a5 | [
"MIT"
] | 4 | 2020-06-15T14:40:45.000Z | 2021-06-15T06:22:03.000Z | # Project Euler - Problem 7
# What is the 10 001st prime number?
import time
start = time.time()
s = "73167176531330624919225119674426574742355349194934\
9698352031277450632623957831801698480186947885184385861560789112949495459501737958331952853208805511\
12540698747158523863050715693290963295227443043557668966489504... | 37.538462 | 101 | 0.846311 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,090 | 0.744536 |
cac13e4d297435c69c600284b0b6eb2c35f04a93 | 628 | py | Python | app1/migrations/0092_auto_20210516_2203.py | vashuteotia123/zbcvit | da29b3281ccc87481a264b63c5b6c3a549945f33 | [
"MIT"
] | 6 | 2021-09-16T16:46:56.000Z | 2022-02-06T13:00:08.000Z | app1/migrations/0092_auto_20210516_2203.py | vashuteotia123/zbcvit | da29b3281ccc87481a264b63c5b6c3a549945f33 | [
"MIT"
] | null | null | null | app1/migrations/0092_auto_20210516_2203.py | vashuteotia123/zbcvit | da29b3281ccc87481a264b63c5b6c3a549945f33 | [
"MIT"
] | 1 | 2021-09-14T09:26:58.000Z | 2021-09-14T09:26:58.000Z | # Generated by Django 3.1.2 on 2021-05-16 16:33
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app1', '0091_auto_20210516_2201'),
]
operations = [
migrations.AddField(
model_name='idea',
name='us... | 25.12 | 98 | 0.597134 | 519 | 0.826433 | 0 | 0 | 0 | 0 | 0 | 0 | 132 | 0.210191 |
cac156f76f885eb1f0b8909985d1e6e242b2f771 | 374 | py | Python | projects/python/def/index.py | SunDawning/sundawning.github.io | ac70ed49c41cb544f1c49e4217808acb7373ca47 | [
"MIT"
] | null | null | null | projects/python/def/index.py | SunDawning/sundawning.github.io | ac70ed49c41cb544f1c49e4217808acb7373ca47 | [
"MIT"
] | 20 | 2017-03-28T11:42:51.000Z | 2017-09-29T13:15:31.000Z | projects/python/def/index.py | SunDawning/sundawning.github.io | ac70ed49c41cb544f1c49e4217808acb7373ca47 | [
"MIT"
] | null | null | null | """
Adding an attribute to a Python dictionary from the standard library - Stack Overflow: https://stackoverflow.com/questions/11532060/adding-an-attribute-to-a-python-dictionary-from-the-standard-library
"""
class Dict(dict):
pass
def Foo():
SELF=Dict()
SELF.a=1
def b():
return SELF.a
SELF... | 22 | 200 | 0.681818 | 26 | 0.069519 | 0 | 0 | 0 | 0 | 0 | 0 | 208 | 0.55615 |
cac27a4fdd875de8d39aa95f71a8e785bf4a097c | 901 | py | Python | lens/models/ext_models/deep_red/arffImporter.py | pietrobarbiero/logic_explained_networks | 238f2a220ae8fc4f31ab0cf12649603aba0285d5 | [
"Apache-2.0"
] | 18 | 2021-05-24T07:47:57.000Z | 2022-01-05T14:48:39.000Z | lens/models/ext_models/deep_red/arffImporter.py | pietrobarbiero/logic_explained_networks | 238f2a220ae8fc4f31ab0cf12649603aba0285d5 | [
"Apache-2.0"
] | 1 | 2021-08-25T16:33:10.000Z | 2021-08-25T16:33:10.000Z | lens/models/ext_models/deep_red/arffImporter.py | pietrobarbiero/deep-logic | 238f2a220ae8fc4f31ab0cf12649603aba0285d5 | [
"Apache-2.0"
] | 2 | 2021-05-26T08:15:14.000Z | 2021-08-23T18:58:16.000Z | import arff as arff
import numpy as np
datasetRepo = 'BreastCancer'
datasetName = 'breast-cancer-wisconsinBinary'
data_list=[]
for row in arff.load('/home/lukas/Uni/AAThesis/Datasets/'+ datasetRepo +'/'+ datasetName +'.arff'):
data_list.append(row)
data_np=np.array(data_list,dtype=float)
#eliminate missing
#i... | 30.033333 | 104 | 0.756937 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 410 | 0.45505 |
cac2971ae42c2e1eedf0e79789b0fb4607584896 | 1,550 | py | Python | clipl/scripts/hadd.py | thomas-mueller/clipl | 4c8c61dd4a09fee6ad2ec65f3baa6854cf9cce69 | [
"MIT"
] | null | null | null | clipl/scripts/hadd.py | thomas-mueller/clipl | 4c8c61dd4a09fee6ad2ec65f3baa6854cf9cce69 | [
"MIT"
] | null | null | null | clipl/scripts/hadd.py | thomas-mueller/clipl | 4c8c61dd4a09fee6ad2ec65f3baa6854cf9cce69 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import logging
import clipl.utility.logger as logger
log = logging.getLogger(__name__)
import argparse
import clipl.utility.jsonTools as jsonTools
import clipl.utility.tools as tools
import glob
import os
import shlex
import sys
from clipl.utility.tools import hadd
de... | 28.703704 | 139 | 0.672903 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 421 | 0.271613 |
cac588be03ffc7ee32885771e6c662fba728e2e2 | 12,135 | py | Python | process.py | Jacob-Zhou/CWS_Dict-rewrite | ef73c2c05acedef6a8e886286e2cd652676c9879 | [
"MIT"
] | null | null | null | process.py | Jacob-Zhou/CWS_Dict-rewrite | ef73c2c05acedef6a8e886286e2cd652676c9879 | [
"MIT"
] | null | null | null | process.py | Jacob-Zhou/CWS_Dict-rewrite | ef73c2c05acedef6a8e886286e2cd652676c9879 | [
"MIT"
] | 1 | 2019-06-23T07:21:05.000Z | 2019-06-23T07:21:05.000Z | import codecs
import collections
from typing import *
import os
import tensorflow as tf
import csv
import tokenization
import numpy as np
import re
import utils
class InputExample(object):
"""A single training/test example for simple sequence classification."""
def __init__(self, guid, text, labels=None):
... | 33.896648 | 95 | 0.567614 | 7,585 | 0.625052 | 0 | 0 | 1,107 | 0.091224 | 0 | 0 | 2,865 | 0.236094 |
cac76d33c2f744198aac139825eb16f25223cdbd | 654 | py | Python | trackers/SiamRPNpp/tracker/tracker_builder.py | htet96/Integration-of-THOR-and-SiamRPN-wip- | 74d4baded10acfe6b35c6d7b2c66a3da6c36f4a1 | [
"MIT"
] | null | null | null | trackers/SiamRPNpp/tracker/tracker_builder.py | htet96/Integration-of-THOR-and-SiamRPN-wip- | 74d4baded10acfe6b35c6d7b2c66a3da6c36f4a1 | [
"MIT"
] | null | null | null | trackers/SiamRPNpp/tracker/tracker_builder.py | htet96/Integration-of-THOR-and-SiamRPN-wip- | 74d4baded10acfe6b35c6d7b2c66a3da6c36f4a1 | [
"MIT"
] | 1 | 2021-03-29T02:47:56.000Z | 2021-03-29T02:47:56.000Z | # Copyright (c) SenseTime. All Rights Reserved.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from siamrpnpp.core.config import cfg
from siamrpnpp.tracker.siamrpn_tracker import SiamRPNTracker
from siamrpnpp.tracker... | 31.142857 | 64 | 0.792049 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 98 | 0.149847 |
caca10fc98e62440f55454d66c538a4a9f921292 | 807 | py | Python | 0778 Swim in Rising Water.py | MdAbedin/leetcode | e835f2e716ea5fe87f30b84801ede9bc023749e7 | [
"MIT"
] | 4 | 2020-09-11T02:36:11.000Z | 2021-09-29T20:47:11.000Z | 0778 Swim in Rising Water.py | MdAbedin/leetcode | e835f2e716ea5fe87f30b84801ede9bc023749e7 | [
"MIT"
] | 3 | 2020-09-10T03:51:42.000Z | 2021-09-25T01:41:57.000Z | 0778 Swim in Rising Water.py | MdAbedin/leetcode | e835f2e716ea5fe87f30b84801ede9bc023749e7 | [
"MIT"
] | 6 | 2020-09-10T03:46:15.000Z | 2021-09-25T01:24:48.000Z | class Solution:
def swimInWater(self, grid: List[List[int]]) -> int:
t = 0
seen = set((0,0))
frontier = [(0,0)]
while True:
new_frontier = []
while frontier:
y,x = frontier.pop()
if grid[y]... | 32.28 | 87 | 0.359356 | 806 | 0.998761 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
caca13b9f9987b6f832d8d595f3219235635f8e0 | 5,108 | py | Python | GUI/RPi_data.py | leander-dsouza/URC-2019 | 6773e6b66dfb840bdbb4463441e8a855b42b1123 | [
"MIT"
] | 5 | 2020-05-10T11:03:48.000Z | 2022-01-17T07:00:40.000Z | GUI/RPi_data.py | leander-dsouza/URC-2019 | 6773e6b66dfb840bdbb4463441e8a855b42b1123 | [
"MIT"
] | null | null | null | GUI/RPi_data.py | leander-dsouza/URC-2019 | 6773e6b66dfb840bdbb4463441e8a855b42b1123 | [
"MIT"
] | 3 | 2020-07-13T14:11:12.000Z | 2022-01-07T18:05:05.000Z | from PyQt5 import QtCore, QtWidgets, QtGui
import pyqtgraph as pg
import numpy as np
import socket
import pyproj
from pyqtgraph import functions as fn
from gps3 import gps3
import sys
from PyQt5.QtWidgets import QMainWindow, QApplication, QWidget, QPushButton, QAction, QLineEdit, QMessageBox
from PyQt5.QtGui import QIc... | 31.530864 | 141 | 0.646045 | 3,620 | 0.708692 | 0 | 0 | 0 | 0 | 0 | 0 | 1,222 | 0.239233 |
caca8b4bdada018953ac3b4a8cab365219d0c4bb | 4,710 | py | Python | UDBFData.py | residualsilence/pyudbf | 4ebeaa5c4c4cfc62a040d659c2c2fe1fa4ee46be | [
"MIT"
] | null | null | null | UDBFData.py | residualsilence/pyudbf | 4ebeaa5c4c4cfc62a040d659c2c2fe1fa4ee46be | [
"MIT"
] | null | null | null | UDBFData.py | residualsilence/pyudbf | 4ebeaa5c4c4cfc62a040d659c2c2fe1fa4ee46be | [
"MIT"
] | null | null | null | import numpy as np
from dataclasses import dataclass
from typing import List, Any
from datetime import datetime
@dataclass(frozen=True)
class UDBFHeader:
"""Data-class for meta-data of the UDBFData class.
Attributes:
udbf_version (int): Version of the UDBF file structure times 100.
vendor (st... | 32.260274 | 78 | 0.551592 | 4,544 | 0.964756 | 0 | 0 | 4,592 | 0.974947 | 0 | 0 | 2,524 | 0.535881 |
caca9e7e4c7e9fcaa5eda9ce8eed667687e6876a | 34,263 | py | Python | tests/scheduling/test_condition.py | bdsinger/PsyNeuLink | 71d8a0bb1691ff85061d4ad3de866d9930a69a73 | [
"Apache-2.0"
] | null | null | null | tests/scheduling/test_condition.py | bdsinger/PsyNeuLink | 71d8a0bb1691ff85061d4ad3de866d9930a69a73 | [
"Apache-2.0"
] | null | null | null | tests/scheduling/test_condition.py | bdsinger/PsyNeuLink | 71d8a0bb1691ff85061d4ad3de866d9930a69a73 | [
"Apache-2.0"
] | null | null | null | import logging
import pytest
from psyneulink.core.components.functions.transferfunctions import Linear
from psyneulink.core.components.mechanisms.processing.transfermechanism import TransferMechanism
from psyneulink.core.components.projections.pathway.mappingprojection import MappingProjection
from psyneulink.core.co... | 41.330519 | 395 | 0.613636 | 33,351 | 0.973382 | 0 | 0 | 1,199 | 0.034994 | 0 | 0 | 1,391 | 0.040598 |
cacb6a4e06751d15dfbdbeba477c081483e1cd05 | 1,267 | py | Python | blueprints/cms/admin.py | dchaplinsky/ninja-cats | d0760712d47eb391c01be137eb5cc5df0c450e86 | [
"MIT"
] | null | null | null | blueprints/cms/admin.py | dchaplinsky/ninja-cats | d0760712d47eb391c01be137eb5cc5df0c450e86 | [
"MIT"
] | null | null | null | blueprints/cms/admin.py | dchaplinsky/ninja-cats | d0760712d47eb391c01be137eb5cc5df0c450e86 | [
"MIT"
] | 1 | 2019-02-07T15:27:14.000Z | 2019-02-07T15:27:14.000Z | from vulyk.admin.models import AuthModelView, CKTextAreaField
from wtforms.validators import Required
from wtforms.fields import SelectField
class PluginsSelectField(SelectField):
def __init__(self, *args, **kwargs):
choices = [
("", ""),
]
from vulyk.app import TASKS_TYPES
... | 23.90566 | 65 | 0.625888 | 1,111 | 0.876875 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 0.094712 |
cacd4256dc6120a59cb2c550ba1d38db5d54f626 | 1,488 | py | Python | analysisTool/testtools/pickyinvestor.py | YueZiqihong/BacktestingProject | 5940192dd3561fdaf50b84784751d53a5e40aec5 | [
"MIT"
] | null | null | null | analysisTool/testtools/pickyinvestor.py | YueZiqihong/BacktestingProject | 5940192dd3561fdaf50b84784751d53a5e40aec5 | [
"MIT"
] | null | null | null | analysisTool/testtools/pickyinvestor.py | YueZiqihong/BacktestingProject | 5940192dd3561fdaf50b84784751d53a5e40aec5 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
from . import datamonger
class PickyInvestor():
def __init__(self):
self.hushen300df = ['600038.SH','600522.SH','600406.SH','601800.SH']
def setBrokerDatabase(self, db_instance):
self.brokerdb = db_instance
def setMarketDatabase(self, db_instance):
... | 31 | 91 | 0.609543 | 1,421 | 0.954973 | 0 | 0 | 0 | 0 | 0 | 0 | 432 | 0.290323 |
cacd4b38f867a34c81112b4cbf0a8aafc3d0f02e | 5,717 | py | Python | predictNN.py | stefanbo92/Kaggle-Titanic-Competition | b3b4cffdeef977d4cb5b37c41d60290f4b4c76c8 | [
"MIT"
] | null | null | null | predictNN.py | stefanbo92/Kaggle-Titanic-Competition | b3b4cffdeef977d4cb5b37c41d60290f4b4c76c8 | [
"MIT"
] | null | null | null | predictNN.py | stefanbo92/Kaggle-Titanic-Competition | b3b4cffdeef977d4cb5b37c41d60290f4b4c76c8 | [
"MIT"
] | null | null | null | import os
import numpy as np
import tensorflow as tf
import datetime
import csv as csv
import pandas as pd
import operator
print ("Packages loaded")
#load training and testing data
train = pd.read_csv('input/train.csv', header = 0, dtype={'Age': np.float64})
test = pd.read_csv('input/test.csv' , header = 0, dtype={'A... | 33.046243 | 103 | 0.668183 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,309 | 0.228966 |
cacee22303bdeb74b8fd99897abb8318af8068c7 | 286 | py | Python | 5/5B.py | allenalvin333/Hackerrank_Stats | 54b61491377396adc2f529c88d1cfdb0cdc14709 | [
"MIT"
] | null | null | null | 5/5B.py | allenalvin333/Hackerrank_Stats | 54b61491377396adc2f529c88d1cfdb0cdc14709 | [
"MIT"
] | null | null | null | 5/5B.py | allenalvin333/Hackerrank_Stats | 54b61491377396adc2f529c88d1cfdb0cdc14709 | [
"MIT"
] | null | null | null | # https://www.hackerrank.com/challenges/s10-poisson-distribution-2/problem
# Enter your code here. Read input from STDIN. Print output to STDOUT
x,y = list(map(float, input().split(" ")))
cost1 = 160 + 40*(x+x**2)
cost2 = 128 + 40*(y+y**2)
print(round(cost1, 3))
print(round(cost2, 3)) | 35.75 | 74 | 0.688811 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 146 | 0.51049 |
cacf9a2cc70649787fc954ebbb125da02d448c66 | 3,839 | py | Python | index/DiskIndex.py | pythonlittleboy/python_gentleman_crawler | 751b624d22a5024746c256080ea0815a9986e3d7 | [
"Apache-2.0"
] | 1 | 2017-05-03T12:18:31.000Z | 2017-05-03T12:18:31.000Z | index/DiskIndex.py | pythonlittleboy/python_gentleman_crawler | 751b624d22a5024746c256080ea0815a9986e3d7 | [
"Apache-2.0"
] | null | null | null | index/DiskIndex.py | pythonlittleboy/python_gentleman_crawler | 751b624d22a5024746c256080ea0815a9986e3d7 | [
"Apache-2.0"
] | 1 | 2020-10-29T04:00:04.000Z | 2020-10-29T04:00:04.000Z | import os
import index.MovieDAO as movieDAO
from pprint import pprint
from index import SysConst
import shutil
def getAllMovies(path):
movieTypes = set(["avi", "mp4", "mkv", "rmvb", "wmv", "txt"])
results = []
for fpath, dirs, fs in os.walk(path):
for filename in fs:
fullpath... | 33.675439 | 96 | 0.567856 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 701 | 0.182125 |
cad081edcdd3a2dbd2df62ac950a790986e0574a | 30,555 | py | Python | mmaction/models/recognizers/recognizer3d_semi_appsup_tempsup_simclr_crossclip_ptv.py | lambert-x/video_semisup | 8ff44343bb34485f8ad08d50ca4d8de22e122c1d | [
"Apache-2.0"
] | null | null | null | mmaction/models/recognizers/recognizer3d_semi_appsup_tempsup_simclr_crossclip_ptv.py | lambert-x/video_semisup | 8ff44343bb34485f8ad08d50ca4d8de22e122c1d | [
"Apache-2.0"
] | null | null | null | mmaction/models/recognizers/recognizer3d_semi_appsup_tempsup_simclr_crossclip_ptv.py | lambert-x/video_semisup | 8ff44343bb34485f8ad08d50ca4d8de22e122c1d | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn.functional as F
import torch.nn as nn
# Custom imports
from .base_semi_apppearance_temporal_simclr import SemiAppTemp_SimCLR_BaseRecognizer
from ..builder import RECOGNIZERS
from ..losses import CosineSimiLoss
from ...utils import GatherLayer
@RECOGNIZERS.register_module()
class Semi_App... | 52.409949 | 142 | 0.602291 | 30,248 | 0.989953 | 0 | 0 | 30,279 | 0.990967 | 0 | 0 | 6,290 | 0.205858 |
cad1818d3242b33e885309feb138f0608365c2a1 | 83 | py | Python | cloudprober/grpc_gcp_prober/versions.py | qixuanl1/grpc-gcp-python | 5a2cd9807bbaf1b85402a2a364775e5b65853df6 | [
"Apache-2.0"
] | 10 | 2019-01-14T19:05:06.000Z | 2021-03-08T18:48:47.000Z | cloudprober/grpc_gcp_prober/versions.py | qixuanl1/grpc-gcp-python | 5a2cd9807bbaf1b85402a2a364775e5b65853df6 | [
"Apache-2.0"
] | 3 | 2018-09-10T17:52:44.000Z | 2019-03-28T00:44:21.000Z | cloudprober/grpc_gcp_prober/versions.py | qixuanl1/grpc-gcp-python | 5a2cd9807bbaf1b85402a2a364775e5b65853df6 | [
"Apache-2.0"
] | 11 | 2018-08-28T11:48:19.000Z | 2021-10-09T16:18:36.000Z | """This is a template file for holding version numbers."""
GRPC_VERSION = '1.11.0'
| 27.666667 | 58 | 0.710843 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 0.795181 |
cad40e90be13cab47bd5268c5b82d265267aefbf | 29,968 | py | Python | experiments/classCali_full_CRF/gpu_crf_eval_with_ece.py | neelabh17/SegmenTron | 69a4d1da858aba9222994847000f9945be3f4cd5 | [
"Apache-2.0"
] | null | null | null | experiments/classCali_full_CRF/gpu_crf_eval_with_ece.py | neelabh17/SegmenTron | 69a4d1da858aba9222994847000f9945be3f4cd5 | [
"Apache-2.0"
] | null | null | null | experiments/classCali_full_CRF/gpu_crf_eval_with_ece.py | neelabh17/SegmenTron | 69a4d1da858aba9222994847000f9945be3f4cd5 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
from ast import dump
from numpy.lib.npyio import save
from calibration_library.metrics import ECELoss, CCELoss
import io
from logging import log
from experiments.classCali_full_CRF import convcrf
from experiments.classCali_full_CRF.convcrf import GaussCRF, get_default_conf
import... | 37.181141 | 189 | 0.531734 | 27,845 | 0.929158 | 0 | 0 | 0 | 0 | 0 | 0 | 5,603 | 0.186966 |
cad510dc56f073e7603af970c006b57ebebf4ae0 | 9,585 | py | Python | leavable_wait_page/pages.py | chkgk/leavable_wait_page | 7bafe7492329d91e6e1df57996bd110fccb92abc | [
"MIT"
] | 2 | 2020-02-01T11:47:03.000Z | 2020-03-27T17:14:34.000Z | leavable_wait_page/pages.py | chkgk/leavable_wait_page | 7bafe7492329d91e6e1df57996bd110fccb92abc | [
"MIT"
] | 1 | 2020-08-13T02:34:56.000Z | 2020-08-13T02:36:22.000Z | leavable_wait_page/pages.py | chkgk/leavable_wait_page | 7bafe7492329d91e6e1df57996bd110fccb92abc | [
"MIT"
] | null | null | null | import time
from django.http import HttpResponseRedirect
from otree.models import Participant
from . import models
from ._builtin import Page, WaitPage
class DecorateIsDisplayMixin(object):
def __init__(self):
super(DecorateIsDisplayMixin, self).__init__()
# We need to edit is_displayed() method ... | 49.153846 | 127 | 0.649557 | 9,424 | 0.983203 | 0 | 0 | 0 | 0 | 0 | 0 | 2,566 | 0.26771 |
cad58261e324fbea414f99255ccc6dcba0116684 | 7,424 | py | Python | test/new_tests/test_info_single_node.py | syaiful6/aerospike-client-python | 59fa0d36aa899a164282643fe49b27d12aaf323f | [
"Apache-2.0"
] | 105 | 2015-01-07T09:51:13.000Z | 2022-03-24T04:23:54.000Z | test/new_tests/test_info_single_node.py | syaiful6/aerospike-client-python | 59fa0d36aa899a164282643fe49b27d12aaf323f | [
"Apache-2.0"
] | 180 | 2015-01-01T19:29:50.000Z | 2022-03-19T14:14:06.000Z | test/new_tests/test_info_single_node.py | syaiful6/aerospike-client-python | 59fa0d36aa899a164282643fe49b27d12aaf323f | [
"Apache-2.0"
] | 94 | 2015-01-21T19:17:48.000Z | 2022-01-31T07:17:47.000Z | # -*- coding: utf-8 -*-
import pytest
import time
import sys
import socket
from .test_base_class import TestBaseClass
from .as_status_codes import AerospikeStatus
from aerospike import exception as e
aerospike = pytest.importorskip("aerospike")
try:
import aerospike
except:
print("Please install aerospike pyt... | 32.419214 | 95 | 0.626212 | 6,753 | 0.909617 | 324 | 0.043642 | 7,041 | 0.948411 | 0 | 0 | 1,921 | 0.258755 |
cad5be719449448e1cb37622c1ab182044445704 | 7,175 | py | Python | utils.py | malva28/Cliente-Eco-UDP-con-Correcci-n | d3ceccb2e2b96ef53040a2715a595653aa668f08 | [
"MIT"
] | null | null | null | utils.py | malva28/Cliente-Eco-UDP-con-Correcci-n | d3ceccb2e2b96ef53040a2715a595653aa668f08 | [
"MIT"
] | null | null | null | utils.py | malva28/Cliente-Eco-UDP-con-Correcci-n | d3ceccb2e2b96ef53040a2715a595653aa668f08 | [
"MIT"
] | null | null | null | import argparse
import os.path
import sys
import io
import _io
import filecmp
from collections import OrderedDict
from math import ceil
import csv
from queue import Queue, Empty
def false():
return False
class MyParser(argparse.ArgumentParser):
def error(self, msg):
sys.stderr.write('error: {}\n'.for... | 29.166667 | 97 | 0.579512 | 6,578 | 0.915773 | 0 | 0 | 0 | 0 | 0 | 0 | 1,063 | 0.147988 |
cad6c0b1053bc8a29b767e1dedc6210f83381ace | 457 | py | Python | datatrans/migrations/0005_optional_aliasregistration_transaction_id.py | skioo/django-datatrans | c2159b08935cd0c70355ca6e8ff92bbe86d372cd | [
"MIT"
] | 9 | 2017-09-12T12:45:30.000Z | 2022-03-30T13:53:57.000Z | datatrans/migrations/0005_optional_aliasregistration_transaction_id.py | skioo/django-datatrans | c2159b08935cd0c70355ca6e8ff92bbe86d372cd | [
"MIT"
] | null | null | null | datatrans/migrations/0005_optional_aliasregistration_transaction_id.py | skioo/django-datatrans | c2159b08935cd0c70355ca6e8ff92bbe86d372cd | [
"MIT"
] | 1 | 2021-11-08T10:21:01.000Z | 2021-11-08T10:21:01.000Z | # Generated by Django 2.0 on 2018-01-29 07:30
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('datatrans', '0004_alias_registration_fields_optional'),
]
operations = [
migrations.AlterField(
model_name='aliasregistration',
... | 24.052632 | 86 | 0.643326 | 366 | 0.800875 | 0 | 0 | 0 | 0 | 0 | 0 | 132 | 0.28884 |
cada338b322e830c14a3de91f1b4a499e17be809 | 7,494 | py | Python | buildroot/package/lmsmpris/src/mpris.py | mgrosso/hifiberry-os | 47bad0e9abea0b72914cbd8b13b2b3fdbe656c6f | [
"MIT"
] | 637 | 2016-12-05T15:13:49.000Z | 2022-03-25T21:28:09.000Z | buildroot/package/lmsmpris/src/mpris.py | mgrosso/hifiberry-os | 47bad0e9abea0b72914cbd8b13b2b3fdbe656c6f | [
"MIT"
] | 294 | 2018-10-10T15:58:17.000Z | 2022-03-29T09:35:36.000Z | buildroot/package/lmsmpris/src/mpris.py | mgrosso/hifiberry-os | 47bad0e9abea0b72914cbd8b13b2b3fdbe656c6f | [
"MIT"
] | 89 | 2018-06-04T05:18:24.000Z | 2022-03-15T13:46:12.000Z | import dbus
import time
import logging
from metadata import Metadata
PLAYING = "playing"
mpris = None
MPRIS_NEXT = "Next"
MPRIS_PREV = "Previous"
MPRIS_PAUSE = "Pause"
MPRIS_PLAYPAUSE = "PlayPause"
MPRIS_STOP = "Stop"
MPRIS_PLAY = "Play"
mpris_commands = [MPRIS_NEXT, MPRIS_PREV,
MPRIS_PAUSE, MPRI... | 29.388235 | 76 | 0.52442 | 6,869 | 0.9166 | 0 | 0 | 0 | 0 | 0 | 0 | 1,540 | 0.205498 |
cadb3eae3b08f55a6a3bbd2cf0cf04010825242f | 1,305 | py | Python | chapter7/code/paramiko/ssh_brute_force.py | abbbhucho/Mastering-Python-for-Networking-and-Security | f4fb1131253e9daad8da501c297758fdcedfbac3 | [
"MIT"
] | 98 | 2018-05-13T20:41:43.000Z | 2022-03-31T00:24:01.000Z | chapter7/code/paramiko/ssh_brute_force.py | Cyb3rid10ts/Mastering-Python-for-Networking-and-Security | 4cf04d1758f17ae378b5e3422404e5b7a174a243 | [
"MIT"
] | null | null | null | chapter7/code/paramiko/ssh_brute_force.py | Cyb3rid10ts/Mastering-Python-for-Networking-and-Security | 4cf04d1758f17ae378b5e3422404e5b7a174a243 | [
"MIT"
] | 62 | 2018-06-19T13:46:34.000Z | 2022-02-11T05:47:24.000Z | import paramiko,sys,os
from socket import *
host = raw_input('Enter host to scan: ')
targetIP = gethostbyname(host)
ssh = paramiko.SSHClient()
def ssh_connect(user,password,code=0):
ssh.load_system_host_keys()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
print("[*] Host: "+targetIP)
print("[*] Tes... | 23.727273 | 77 | 0.685824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 275 | 0.210728 |
cadc7755eb3b3f1d4b9d8e68156a082b53c83cbb | 1,743 | py | Python | infra/gce-autoscale.py | szyszy/dist_test | a992ed1c007e9ec4850643e707bc803fbf5a084b | [
"Apache-2.0"
] | 28 | 2016-05-03T21:16:48.000Z | 2021-06-11T17:09:58.000Z | infra/gce-autoscale.py | szyszy/dist_test | a992ed1c007e9ec4850643e707bc803fbf5a084b | [
"Apache-2.0"
] | 45 | 2016-05-03T22:16:09.000Z | 2019-04-23T20:53:07.000Z | infra/gce-autoscale.py | szyszy/dist_test | a992ed1c007e9ec4850643e707bc803fbf5a084b | [
"Apache-2.0"
] | 25 | 2016-04-20T00:02:08.000Z | 2020-11-24T18:05:45.000Z | #!/usr/bin/env python
import logging
import re
import subprocess
import time
import urllib2
DIST_TEST_URL = "http://dist-test.cloudera.org"
# GCE bills 10-minute minimum, so if we've started instances
# more recently than 10 minutes ago, we shouldn't shut them down.
SHRINK_LAG = 600
def get_stats():
page = urllib2... | 28.57377 | 87 | 0.659208 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 518 | 0.297189 |
caddabc98e1e06ce9ca265209e8431d9b8a8e5e5 | 396 | py | Python | Leetcode/Array/2_-_Medium/1437._Check_If_All_1's_Are_at_Least_Length_K_Places_Away.py | Khalid-Sultan/Algorithms-Prep | 7773c5bc0448d8677bf324bd1d9bdc43b813fcd5 | [
"MIT"
] | 1 | 2020-09-21T10:01:26.000Z | 2020-09-21T10:01:26.000Z | Leetcode/Array/2_-_Medium/1437._Check_If_All_1's_Are_at_Least_Length_K_Places_Away.py | Khalid-Sultan/Algorithms-Prep | 7773c5bc0448d8677bf324bd1d9bdc43b813fcd5 | [
"MIT"
] | null | null | null | Leetcode/Array/2_-_Medium/1437._Check_If_All_1's_Are_at_Least_Length_K_Places_Away.py | Khalid-Sultan/Algorithms-Prep | 7773c5bc0448d8677bf324bd1d9bdc43b813fcd5 | [
"MIT"
] | 2 | 2020-09-01T12:33:55.000Z | 2020-11-30T13:23:50.000Z | class Solution:
def kLengthApart(self, nums: List[int], k: int) -> bool:
prev_1 = -1
for idx, i in enumerate(nums):
if i==1:
if prev_1==-1:
prev_1 = idx
continue
if idx-prev_1-1>=k:
prev_1 = idx
... | 30.461538 | 60 | 0.406566 | 396 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cadf2c0206812d71cdeb1d4e64b0d2ed452aaeca | 2,587 | py | Python | tests/nlu_core_tests/test_entire_namespace_unittest.py | UPbook-innovations/nlu | 2ae02ce7b6ca163f47271e98b71de109d38adefe | [
"Apache-2.0"
] | 1 | 2021-05-01T01:23:18.000Z | 2021-05-01T01:23:18.000Z | tests/nlu_core_tests/test_entire_namespace_unittest.py | adbmd/nlu | c9b52a4ae001505bdb09c22c9ebd7e5b2ccf3b54 | [
"Apache-2.0"
] | 2 | 2021-09-28T05:55:05.000Z | 2022-02-26T11:16:21.000Z | tests/nlu_core_tests/test_entire_namespace_unittest.py | atdavidpark/nlu | 619d07299e993323d83086c86506db71e2a139a9 | [
"Apache-2.0"
] | 1 | 2021-09-13T10:06:20.000Z | 2021-09-13T10:06:20.000Z | # content of test_expectation.py
import pytest
import nlu
from nose2.tools import params
import unittest
from parameterized import parameterized, parameterized_class
'''
Test every component in the NLU namespace.
This can take very long
'''
all_default_references = []
i=0
for nlu_reference in nlu.NameSpace.component_... | 33.166667 | 85 | 0.707383 | 474 | 0.183224 | 0 | 0 | 363 | 0.140317 | 0 | 0 | 1,308 | 0.505605 |
cadfb2d6ce0426383623ded5f2662bc9dd5dd1ea | 220 | py | Python | app/main/__init__.py | Amukozoberit/Quotes2 | 80795a5208f9442bf954170a0e4b22d71c53eb81 | [
"MIT"
] | null | null | null | app/main/__init__.py | Amukozoberit/Quotes2 | 80795a5208f9442bf954170a0e4b22d71c53eb81 | [
"MIT"
] | null | null | null | app/main/__init__.py | Amukozoberit/Quotes2 | 80795a5208f9442bf954170a0e4b22d71c53eb81 | [
"MIT"
] | null | null | null | from flask import Blueprint
from ..models import Permission
main=Blueprint('main',__name__)
from . import views,errors
@main.app_context_processor
def inject_permissions():
return dict(Permission=Permission)
| 14.666667 | 38 | 0.781818 | 0 | 0 | 0 | 0 | 92 | 0.418182 | 0 | 0 | 6 | 0.027273 |
cae17f3ada10180582eda453dfd1179f17df81e8 | 2,158 | py | Python | format.py | suut/psychic-happiness | 56c0daef93f40b91e8a859f04a4660dde2b5c5c1 | [
"Unlicense"
] | 1 | 2020-02-25T10:47:00.000Z | 2020-02-25T10:47:00.000Z | format.py | suut/psychic-happiness | 56c0daef93f40b91e8a859f04a4660dde2b5c5c1 | [
"Unlicense"
] | null | null | null | format.py | suut/psychic-happiness | 56c0daef93f40b91e8a859f04a4660dde2b5c5c1 | [
"Unlicense"
] | null | null | null | #!/usr/bin/python3.4
# -*- coding: utf-8 -*-
from forbiddenfruit import curse
controlcodes = {'bold': '\x02',
'underlined': '\x1F',
'italic': '\x1D',
'reset': '\x0F',
'reverse': '\x16'}
colorlist = {'white': '00',
... | 29.972222 | 97 | 0.460612 | 976 | 0.452271 | 0 | 0 | 0 | 0 | 0 | 0 | 593 | 0.274791 |
cae1c80a7397a93055cad4f63295d5712bbe0db1 | 192 | py | Python | Exercise 013.py | sayan-datapython/Learn_Python_Full_Course_for_Beginners | 1cca3df62cfd7ae5a0c85c019b0f5fe4f6f4740c | [
"MIT"
] | null | null | null | Exercise 013.py | sayan-datapython/Learn_Python_Full_Course_for_Beginners | 1cca3df62cfd7ae5a0c85c019b0f5fe4f6f4740c | [
"MIT"
] | null | null | null | Exercise 013.py | sayan-datapython/Learn_Python_Full_Course_for_Beginners | 1cca3df62cfd7ae5a0c85c019b0f5fe4f6f4740c | [
"MIT"
] | 1 | 2020-09-30T14:25:51.000Z | 2020-09-30T14:25:51.000Z | salario = float(input("Enter o seu salario: "))
novosalario = salario + (salario*0.15)
print('O valor do salario e {} e o acrescimo de 15% no novo salario e {}'.format(salario, novosalario))
| 48 | 104 | 0.703125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 91 | 0.473958 |
cae3775167ae0cae99118eee8c09154bac9abff6 | 2,565 | py | Python | screens/mainScreen.py | superstap/jimi | d921b815c726e169c5a35f01a81eea8a75b8321d | [
"Apache-2.0"
] | 111 | 2020-06-30T10:51:29.000Z | 2022-03-29T00:33:48.000Z | screens/mainScreen.py | superstap/jimi | d921b815c726e169c5a35f01a81eea8a75b8321d | [
"Apache-2.0"
] | 206 | 2020-07-02T22:48:49.000Z | 2022-02-16T13:21:10.000Z | screens/mainScreen.py | superstap/jimi | d921b815c726e169c5a35f01a81eea8a75b8321d | [
"Apache-2.0"
] | 24 | 2020-11-16T15:30:00.000Z | 2022-02-10T03:20:14.000Z | import requests
import time
import os
import json
from pathlib import Path
class mainScreen:
def __init__(self):
splash()
self.menu = screen._screen([
["select", None],
["select core",callSelectCore],
["time", getTime],
["splash", splash],
... | 35.136986 | 122 | 0.473684 | 331 | 0.129045 | 0 | 0 | 0 | 0 | 0 | 0 | 1,236 | 0.481871 |
cae3d350a7769f9965a5864545deeaba068637e3 | 2,753 | py | Python | main.py | loicgirard/pygame-3D | 62b578918bdf8459779cf4f18ab542329601cd41 | [
"MIT"
] | null | null | null | main.py | loicgirard/pygame-3D | 62b578918bdf8459779cf4f18ab542329601cd41 | [
"MIT"
] | null | null | null | main.py | loicgirard/pygame-3D | 62b578918bdf8459779cf4f18ab542329601cd41 | [
"MIT"
] | null | null | null | import pygame
from pygame.locals import *
import sys
from pygame3D import *
<<<<<<< HEAD
import time
=======
import numpy as np
import time
import cv2
import math
>>>>>>> 8da8f0ff1109db951a4915c1aecb7f4d7de41630
pygame.init()
camera = Camera(position=(0, 0, 0), rotation=(0, 0, 0), fov=137, clipping_pla... | 32.77381 | 116 | 0.578641 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 973 | 0.353433 |
cae475cf15eaab315664af14b56874ea55231098 | 1,171 | py | Python | plugins/module_utils/ovh.py | PiMath22/infra-ovh-ansible-module | cbd9d1513f61001d1dcce56b1387fa0c9e3721f5 | [
"MIT"
] | 61 | 2017-03-28T09:38:19.000Z | 2022-03-16T00:38:25.000Z | plugins/module_utils/ovh.py | PiMath22/infra-ovh-ansible-module | cbd9d1513f61001d1dcce56b1387fa0c9e3721f5 | [
"MIT"
] | 30 | 2017-08-16T08:57:09.000Z | 2021-12-19T16:04:16.000Z | plugins/module_utils/ovh.py | PiMath22/infra-ovh-ansible-module | cbd9d1513f61001d1dcce56b1387fa0c9e3721f5 | [
"MIT"
] | 25 | 2017-05-30T10:25:32.000Z | 2022-01-24T10:31:16.000Z | from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
try:
import ovh
from ovh.exceptions import APIError
HAS_OVH = True
except ImportError:
HAS_OVH = False
def ovh_api_connect(module):
if not HAS_OVH:
module.fail_json(msg='python-ovh must be installed to... | 30.815789 | 88 | 0.671221 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 139 | 0.118702 |
cae4941b80862b24ca4349b8e21a5e0aa4ef9345 | 68 | py | Python | VERSION_INFO_SAMPLE.py | CubeZeero/AE_SpotifyCtrl | 8635fa46800010a9ea4c9d6a6eb8c9baf942e117 | [
"MIT"
] | null | null | null | VERSION_INFO_SAMPLE.py | CubeZeero/AE_SpotifyCtrl | 8635fa46800010a9ea4c9d6a6eb8c9baf942e117 | [
"MIT"
] | null | null | null | VERSION_INFO_SAMPLE.py | CubeZeero/AE_SpotifyCtrl | 8635fa46800010a9ea4c9d6a6eb8c9baf942e117 | [
"MIT"
] | null | null | null | def VERSION():
VERSION = 'YOUR_VERSION_HERE'
return VERSION
| 17 | 33 | 0.691176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.279412 |
cae4ec0d8b6fef60b4e8998414d13025c2d142e9 | 5,962 | py | Python | subs2vec/similarities.py | jvparidon/sub2vec | adb9e72b64dc6dbde3c2060ee0d3964ab623a149 | [
"MIT"
] | 19 | 2019-09-23T20:31:54.000Z | 2022-03-01T22:19:12.000Z | subs2vec/similarities.py | ClarasMind/subs2vec | adb9e72b64dc6dbde3c2060ee0d3964ab623a149 | [
"MIT"
] | 4 | 2019-11-26T21:12:53.000Z | 2022-03-29T02:46:25.000Z | subs2vec/similarities.py | ClarasMind/subs2vec | adb9e72b64dc6dbde3c2060ee0d3964ab623a149 | [
"MIT"
] | 2 | 2020-09-30T15:02:32.000Z | 2022-03-01T22:19:20.000Z | """Compute rank correlations between word vector cosine similarities and human ratings of semantic similarity."""
import numpy as np
import pandas as pd
import argparse
import os
import scipy.spatial.distance
import scipy.stats
from .vecs import Vectors
from .utensils import log_timer
import logging
logging.b... | 48.080645 | 159 | 0.679638 | 0 | 0 | 0 | 0 | 3,176 | 0.532707 | 0 | 0 | 2,430 | 0.407581 |
cae50b168c1643c324a44991b116ba28feaccea9 | 1,772 | py | Python | projectq/setups/ibm16_test.py | gavarela/ProjectQ | f2cec3cc1ea3775edd77c898ed8802af9f802533 | [
"Apache-2.0"
] | 2 | 2019-06-18T11:58:23.000Z | 2020-04-26T20:39:32.000Z | projectq/setups/ibm16_test.py | gavarela/ProjectQ | f2cec3cc1ea3775edd77c898ed8802af9f802533 | [
"Apache-2.0"
] | 8 | 2019-08-13T11:22:36.000Z | 2019-11-19T15:47:05.000Z | projectq/setups/ibm16_test.py | gavarela/ProjectQ | f2cec3cc1ea3775edd77c898ed8802af9f802533 | [
"Apache-2.0"
] | 1 | 2020-08-16T22:40:08.000Z | 2020-08-16T22:40:08.000Z | # Copyright 2017 ProjectQ-Framework (www.projectq.ch)
#
# 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 app... | 36.916667 | 76 | 0.719526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 644 | 0.363431 |
cae5c011002e812a851b5713900b33655f82a713 | 1,356 | py | Python | backend/server/backend/migrations/0012_auto_20200801_2315.py | fossabot/Graphery | 61f23b2ad4ad0fa5dff643047597f9bb6cae35a2 | [
"MIT"
] | 5 | 2020-08-26T00:15:01.000Z | 2021-01-11T17:24:51.000Z | backend/server/backend/migrations/0012_auto_20200801_2315.py | fossabot/Graphery | 61f23b2ad4ad0fa5dff643047597f9bb6cae35a2 | [
"MIT"
] | 69 | 2020-08-02T23:45:44.000Z | 2021-04-17T03:04:32.000Z | backend/server/backend/migrations/0012_auto_20200801_2315.py | fossabot/Graphery | 61f23b2ad4ad0fa5dff643047597f9bb6cae35a2 | [
"MIT"
] | 4 | 2020-09-10T05:40:49.000Z | 2020-12-20T11:44:16.000Z | # Generated by Django 3.0.8 on 2020-08-01 23:15
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('backend', '0011_auto_20200731_2107'),
]
operations = [
migrations.AlterField(
model_name='code'... | 33.9 | 107 | 0.623894 | 1,230 | 0.90708 | 0 | 0 | 0 | 0 | 0 | 0 | 291 | 0.214602 |
cae5ebe8c6d1f42aa7dd3dd33da4b132a54dd359 | 8,345 | py | Python | module/tokenizer.py | irebai/wav2vec2 | 461dc98292ad0dc7aa6f76a1d8d923f84a758d4f | [
"Apache-2.0"
] | 3 | 2021-06-02T22:30:57.000Z | 2022-03-02T15:31:04.000Z | module/tokenizer.py | irebai/wav2vec2 | 461dc98292ad0dc7aa6f76a1d8d923f84a758d4f | [
"Apache-2.0"
] | 1 | 2022-03-16T14:21:11.000Z | 2022-03-16T14:21:11.000Z | module/tokenizer.py | irebai/wav2vec2 | 461dc98292ad0dc7aa6f76a1d8d923f84a758d4f | [
"Apache-2.0"
] | null | null | null | import sentencepiece as spm
import logging
import json
import sys
import os
import re
import copy
from typing import Any, Dict, List, Optional, Union
from transformers import Wav2Vec2CTCTokenizer
from itertools import groupby
logger = logging.getLogger(__name__)
logging.basicConfig(
format="%(asctime)s - %(levelna... | 31.254682 | 103 | 0.545956 | 7,873 | 0.942987 | 0 | 0 | 5,326 | 0.637921 | 0 | 0 | 1,489 | 0.178345 |
caee7405f72c31710c4a76b26d18b5e0202497d9 | 2,794 | py | Python | tests/unit/app/test_session.py | cswarth/whylogs | 6805b252f1d07efde84836d3924949f7ec2d97b1 | [
"Apache-2.0"
] | 603 | 2020-07-31T23:26:10.000Z | 2022-03-31T23:05:36.000Z | tests/unit/app/test_session.py | cswarth/whylogs | 6805b252f1d07efde84836d3924949f7ec2d97b1 | [
"Apache-2.0"
] | 284 | 2021-03-02T21:28:03.000Z | 2022-03-31T22:36:08.000Z | tests/unit/app/test_session.py | cswarth/whylogs | 6805b252f1d07efde84836d3924949f7ec2d97b1 | [
"Apache-2.0"
] | 39 | 2020-08-14T21:22:08.000Z | 2022-03-29T20:24:54.000Z | import pytest
from whylogs.app.config import SessionConfig
from whylogs.app.session import (
Session,
get_or_create_session,
get_session,
reset_default_session,
session_from_config,
)
def test_get_global_session():
session = get_or_create_session()
global_session = get_session()
ass... | 27.126214 | 98 | 0.721546 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 333 | 0.119184 |
caef0d0629c15343e9df7473db70cc7cfee8bd44 | 863 | py | Python | paper/scripts/parse_hg19_Genome_FASTA.py | CEGRcode/GenoPipe | 76c2bd553582a51aa1f83a3b5e916663dd8f1e18 | [
"MIT"
] | null | null | null | paper/scripts/parse_hg19_Genome_FASTA.py | CEGRcode/GenoPipe | 76c2bd553582a51aa1f83a3b5e916663dd8f1e18 | [
"MIT"
] | null | null | null | paper/scripts/parse_hg19_Genome_FASTA.py | CEGRcode/GenoPipe | 76c2bd553582a51aa1f83a3b5e916663dd8f1e18 | [
"MIT"
] | null | null | null | import sys
import argparse
valid_chr = ["chr1", "chr2",
"chr3", "chr4",
"chr5", "chr6",
"chr7", "chr8",
"chr9", "chr10",
"chr11", "chr12",
"chr13", "chr14",
"chr15", "chr16",
"chr17", "chr18",
"chr19", "chr20",
"chr21", "chr22",
"chrM",
"chrX", "chrY"]
def get_params():
parser = argparse.ArgumentParser(d... | 23.324324 | 138 | 0.64774 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 328 | 0.38007 |
caef9773708a6b2a6663f3f50808e394425a0baf | 1,742 | py | Python | demos/python_demos/image_retrieval_demo/image_retrieval_demo/roi_detector_on_video.py | evgeny-izutov/open_model_zoo | 2cd6145ef342fc9b7ccf32676af73f4a1cb8d9ba | [
"Apache-2.0"
] | 5 | 2020-03-09T07:39:04.000Z | 2021-08-16T07:17:28.000Z | demos/python_demos/image_retrieval_demo/image_retrieval_demo/roi_detector_on_video.py | evgeny-izutov/open_model_zoo | 2cd6145ef342fc9b7ccf32676af73f4a1cb8d9ba | [
"Apache-2.0"
] | 8 | 2020-09-26T00:40:13.000Z | 2022-03-12T00:14:30.000Z | demos/python_demos/image_retrieval_demo/image_retrieval_demo/roi_detector_on_video.py | evgeny-izutov/open_model_zoo | 2cd6145ef342fc9b7ccf32676af73f4a1cb8d9ba | [
"Apache-2.0"
] | 4 | 2020-04-21T17:31:00.000Z | 2021-10-18T07:04:49.000Z | """
Copyright (c) 2019 Intel Corporation
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 wri... | 30.034483 | 99 | 0.668197 | 1,006 | 0.577497 | 0 | 0 | 0 | 0 | 0 | 0 | 733 | 0.420781 |
caf034be7b02abcd1a1172a30827469cf3491119 | 672 | py | Python | buildroot/support/testing/tests/package/test_python_pytest_asyncio.py | inverse/operating-system | bb7964ff021eebc5e194f03a2b14ccf6efc3e8d6 | [
"Apache-2.0"
] | 349 | 2021-08-17T08:46:53.000Z | 2022-03-30T06:25:25.000Z | buildroot/support/testing/tests/package/test_python_pytest_asyncio.py | TopSWorld/operating-system | 99a4d4ea75e5afd53f7e71422726f9d3200b25a3 | [
"Apache-2.0"
] | 2 | 2021-08-29T11:29:57.000Z | 2021-08-30T12:00:05.000Z | buildroot/support/testing/tests/package/test_python_pytest_asyncio.py | TopSWorld/operating-system | 99a4d4ea75e5afd53f7e71422726f9d3200b25a3 | [
"Apache-2.0"
] | 12 | 2021-08-17T20:10:30.000Z | 2022-01-06T10:52:54.000Z | import os
from tests.package.test_python import TestPythonPackageBase
class TestPythonPy3PytestAsyncio(TestPythonPackageBase):
__test__ = True
config = TestPythonPackageBase.config + \
"""
BR2_PACKAGE_PYTHON3=y
BR2_PACKAGE_PYTHON_PYTEST=y
BR2_PACKAGE_PYTHON_PYTEST_ASYNCIO=y
... | 32 | 77 | 0.691964 | 598 | 0.889881 | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 0.275298 |
caf2fd807c83b6852b321d0fe1d8c3415691086c | 35 | py | Python | demo.py | sebedoyar/Demo-Clase | ad95dfc78864451da95cb0ce7fd65ef9e5b9728f | [
"MIT"
] | null | null | null | demo.py | sebedoyar/Demo-Clase | ad95dfc78864451da95cb0ce7fd65ef9e5b9728f | [
"MIT"
] | null | null | null | demo.py | sebedoyar/Demo-Clase | ad95dfc78864451da95cb0ce7fd65ef9e5b9728f | [
"MIT"
] | null | null | null | print ('Hola Mundo desde demo.py')
| 17.5 | 34 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.742857 |
caf3064cbecd8a96460c32ca717913b340bf5d76 | 516 | py | Python | piccolo/columns/__init__.py | Fingel/piccolo | 9091e2a14aa7ac93937c1f5602721d97c975662e | [
"MIT"
] | null | null | null | piccolo/columns/__init__.py | Fingel/piccolo | 9091e2a14aa7ac93937c1f5602721d97c975662e | [
"MIT"
] | null | null | null | piccolo/columns/__init__.py | Fingel/piccolo | 9091e2a14aa7ac93937c1f5602721d97c975662e | [
"MIT"
] | null | null | null | from .column_types import ( # noqa: F401
Boolean,
Bytea,
Date,
Decimal,
Float,
ForeignKey,
Integer,
Interval,
JSON,
JSONB,
Numeric,
PrimaryKey,
Real,
Secret,
Serial,
Text,
Timestamp,
Timestamptz,
UUID,
Varchar,
)
from .base import ( # noq... | 16.125 | 55 | 0.604651 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0.093023 |
caf41dbd85255511abe44215a30940d32474994c | 519 | py | Python | produtos.py | rodrigomoreira777/POO2021.2 | 7c5d45148882337e4d72258f50f14eda8d42d1df | [
"MIT"
] | null | null | null | produtos.py | rodrigomoreira777/POO2021.2 | 7c5d45148882337e4d72258f50f14eda8d42d1df | [
"MIT"
] | null | null | null | produtos.py | rodrigomoreira777/POO2021.2 | 7c5d45148882337e4d72258f50f14eda8d42d1df | [
"MIT"
] | null | null | null | import ferramentas_usuarios as fe
class Produto:
codigo = fe.gera_codigo()
def __init__(self, data_ger, prazo_ent, inicio_pro, final_proc, inicio_cont, final_cont):
"""Cria um banco de dados baseado em um arquivo TXT"""
self.data_geracao = data_ger
self.prazo_entrega = prazo_ent
... | 32.4375 | 93 | 0.695568 | 482 | 0.928709 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 0.104046 |
caf48cc7fd48dcdd4b394a1391829b50017bd13c | 489 | py | Python | src/main/resources/pytz/zoneinfo/Africa/Mbabane.py | TheEin/swagger-maven-plugin | cf93dce2d5c8d3534f4cf8c612b11e2d2313871b | [
"Apache-2.0"
] | 65 | 2015-11-14T13:46:01.000Z | 2021-08-14T05:54:04.000Z | lib/pytz/zoneinfo/Africa/Mbabane.py | tjsavage/polymer-dashboard | 19bc467f1206613f8eec646b6f2bc43cc319ef75 | [
"CNRI-Python",
"Linux-OpenIB"
] | 13 | 2016-03-31T20:00:17.000Z | 2021-08-20T14:52:31.000Z | lib/pytz/zoneinfo/Africa/Mbabane.py | tjsavage/polymer-dashboard | 19bc467f1206613f8eec646b6f2bc43cc319ef75 | [
"CNRI-Python",
"Linux-OpenIB"
] | 20 | 2015-03-18T08:41:37.000Z | 2020-12-18T02:58:30.000Z | '''tzinfo timezone information for Africa/Mbabane.'''
from pytz.tzinfo import DstTzInfo
from pytz.tzinfo import memorized_datetime as d
from pytz.tzinfo import memorized_ttinfo as i
class Mbabane(DstTzInfo):
'''Africa/Mbabane timezone definition. See datetime.tzinfo for details'''
zone = 'Africa/Mbabane'
... | 21.26087 | 77 | 0.689162 | 283 | 0.578732 | 0 | 0 | 0 | 0 | 0 | 0 | 153 | 0.312883 |
caf71c9e764e7f9cc0a44834ec06b0816dd53183 | 1,108 | py | Python | data_processing.py | lanlehoang67/Galaxies-Classification | 2ee35a418e1e93529b3c0522a6f0f07be6818a51 | [
"MIT"
] | null | null | null | data_processing.py | lanlehoang67/Galaxies-Classification | 2ee35a418e1e93529b3c0522a6f0f07be6818a51 | [
"MIT"
] | null | null | null | data_processing.py | lanlehoang67/Galaxies-Classification | 2ee35a418e1e93529b3c0522a6f0f07be6818a51 | [
"MIT"
] | null | null | null | import warnings
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from PIL import Image
solutions = pd.read_csv('D:\\code\\galaxy-zoo-the-galaxy-challenge\\training_solutions_rev1.csv', sep = ',')
solutions = solutions.loc[solutions["Class1.3"] < 0.5]
solutions = solutions.loc[:, ["GalaxyID", "Clas... | 52.761905 | 133 | 0.695848 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 442 | 0.398917 |
caf821a157dc5d0ae68a5868b42fb9f3ac134445 | 2,470 | py | Python | app/models/registration/phone_sender.py | Tingerlink/tingerwork | 0e3d360bf97a62e088f12aa72277200b75e43643 | [
"MIT"
] | null | null | null | app/models/registration/phone_sender.py | Tingerlink/tingerwork | 0e3d360bf97a62e088f12aa72277200b75e43643 | [
"MIT"
] | null | null | null | app/models/registration/phone_sender.py | Tingerlink/tingerwork | 0e3d360bf97a62e088f12aa72277200b75e43643 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Module 'phone_sender' of the project 'tingerwork'
# :date_create: 11.12.2017.4:21
# :author: Tingerlink
# :description:
import json
import requests
import config.settings
import tools.logger as logger
class PhoneSender:
def __init__(self):
self.password = config.se... | 44.107143 | 124 | 0.59919 | 2,617 | 0.914715 | 0 | 0 | 0 | 0 | 0 | 0 | 1,463 | 0.51136 |
caf8377c81dfe105d39fee6b3a818984e3e52135 | 154 | py | Python | 3. Linear Regresion/3-2)Autograd.py | choijiwoong/-ROKA-torch-tutorial-files | c298fdf911cd64757895c3ab9f71ae7c3467c545 | [
"Unlicense"
] | null | null | null | 3. Linear Regresion/3-2)Autograd.py | choijiwoong/-ROKA-torch-tutorial-files | c298fdf911cd64757895c3ab9f71ae7c3467c545 | [
"Unlicense"
] | null | null | null | 3. Linear Regresion/3-2)Autograd.py | choijiwoong/-ROKA-torch-tutorial-files | c298fdf911cd64757895c3ab9f71ae7c3467c545 | [
"Unlicense"
] | null | null | null | import torch
w=torch.tensor(2.0,requires_grad=True)#set variable
y=w**2
z=2*y+5
z.backward()#grad
print('수식을 w로 미분한 값 : {}'.format(w.grad))#call result
| 17.111111 | 53 | 0.701299 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 0.382353 |
caf8c9497a6a18b4424ce269c5bc4d42454d82d8 | 4,155 | py | Python | methods/arope_main.py | aida-ugent/graph-vis-eval | 8e15737542488c3abe1cbdf7da4dbd87011a0d8c | [
"MIT"
] | null | null | null | methods/arope_main.py | aida-ugent/graph-vis-eval | 8e15737542488c3abe1cbdf7da4dbd87011a0d8c | [
"MIT"
] | null | null | null | methods/arope_main.py | aida-ugent/graph-vis-eval | 8e15737542488c3abe1cbdf7da4dbd87011a0d8c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# This file was originally developed for EvalNE by Alexandru Cristian Mara
import argparse
import numpy as np
import networkx as nx
import ast
import time
from utils import AROPE
# Although the method says it requires python 3.5, it should be run with python 2.7 for optim... | 36.447368 | 119 | 0.612996 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,685 | 0.405535 |
cafa342f68372739cf2be15cd31ab6536193eaad | 241 | py | Python | poetry/utils/helpers.py | paralax/poetry | 16d49d10f9e333fdb2833b31f012d68c6d5ac0a6 | [
"MIT"
] | null | null | null | poetry/utils/helpers.py | paralax/poetry | 16d49d10f9e333fdb2833b31f012d68c6d5ac0a6 | [
"MIT"
] | null | null | null | poetry/utils/helpers.py | paralax/poetry | 16d49d10f9e333fdb2833b31f012d68c6d5ac0a6 | [
"MIT"
] | null | null | null | import re
_canonicalize_regex = re.compile('[-_.]+')
def canonicalize_name(name: str) -> str:
return _canonicalize_regex.sub('-', name).lower()
def module_name(name: str) -> str:
return canonicalize_name(name).replace('-', '_')
| 20.083333 | 53 | 0.676349 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0.070539 |
cafa51ff6545b99480852d33b0550b9abe3eb455 | 15,670 | py | Python | mygrid/power_flow/backward_forward_sweep_3p.py | grei-ufc/MyGrid | c42fe9d4e0838f253dd5b0716cbf0c892136d931 | [
"MIT"
] | 3 | 2018-03-02T11:18:51.000Z | 2021-07-30T23:22:18.000Z | mygrid/power_flow/backward_forward_sweep_3p.py | grei-ufc/MyGrid | c42fe9d4e0838f253dd5b0716cbf0c892136d931 | [
"MIT"
] | 8 | 2017-11-06T12:15:15.000Z | 2019-04-29T13:41:27.000Z | mygrid/power_flow/backward_forward_sweep_3p.py | grei-ufc/MyGrid | c42fe9d4e0838f253dd5b0716cbf0c892136d931 | [
"MIT"
] | 4 | 2019-03-20T11:26:04.000Z | 2021-06-03T19:28:05.000Z | # -*- coding: utf-8 -*-
import copy
from mygrid.util import Phasor, R, P
from mygrid.util import r2p, p2r
from mygrid.grid import Section, TransformerModel, Auto_TransformerModel
import numpy as np
# from pycallgraph import PyCallGraph
# from pycallgraph.output import GraphvizOutput
from numba import jit
from functo... | 32.04499 | 101 | 0.572942 | 0 | 0 | 0 | 0 | 2,118 | 0.134733 | 0 | 0 | 3,412 | 0.217048 |
cafb24814eb097820d02a880a3235f040ebd6635 | 212 | py | Python | NOV26/03.py | Razdeep/PythonSnippets | 76f9313894f511c487a99bc38bdf0fe5e594caf5 | [
"MIT"
] | null | null | null | NOV26/03.py | Razdeep/PythonSnippets | 76f9313894f511c487a99bc38bdf0fe5e594caf5 | [
"MIT"
] | null | null | null | NOV26/03.py | Razdeep/PythonSnippets | 76f9313894f511c487a99bc38bdf0fe5e594caf5 | [
"MIT"
] | null | null | null | # Create a dataframe using pandas series
import pandas as pd
cols = ['a','b']
list_of_series = [pd.Series([1,2],index=cols), pd.Series([3,4],index=cols)]
df = pd.DataFrame(list_of_series, columns=cols)
print(df) | 30.285714 | 75 | 0.716981 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.216981 |
cafc0364eb82044fdfe153c9ed4bca8077eb7856 | 1,036 | py | Python | contxt/cli/commands/assets.py | ndustrialio/contxt-sdk-python-control | e87930eb65853a314eb118ea5cbc0386d2188db2 | [
"0BSD"
] | 4 | 2019-06-04T17:59:52.000Z | 2020-09-09T17:33:30.000Z | contxt/cli/commands/assets.py | ndustrialio/contxt-sdk-python-control | e87930eb65853a314eb118ea5cbc0386d2188db2 | [
"0BSD"
] | 61 | 2019-05-24T17:49:56.000Z | 2022-03-24T15:22:57.000Z | contxt/cli/commands/assets.py | ndustrialio/contxt-sdk-python-control | e87930eb65853a314eb118ea5cbc0386d2188db2 | [
"0BSD"
] | 2 | 2021-12-07T01:03:56.000Z | 2022-02-18T16:40:24.000Z | from typing import List
import click
from contxt.cli.clients import Clients
from contxt.cli.utils import fields_option, print_table, sort_option
from contxt.models.assets import Asset, AssetType
@click.group()
def assets() -> None:
"""Assets."""
@assets.command()
@fields_option(default=["id", "label", "descri... | 29.6 | 76 | 0.710425 | 0 | 0 | 0 | 0 | 830 | 0.801158 | 0 | 0 | 112 | 0.108108 |
cafc4de57835e7699aa3fc23c1d712de48724ce8 | 3,785 | py | Python | test4/test_brownian_motion.py | WINGS-ABC-programming-tutorial/mlflow-demo | 2af7ad439c5feebc5af3ba67086c0077fe142bbe | [
"MIT"
] | null | null | null | test4/test_brownian_motion.py | WINGS-ABC-programming-tutorial/mlflow-demo | 2af7ad439c5feebc5af3ba67086c0077fe142bbe | [
"MIT"
] | null | null | null | test4/test_brownian_motion.py | WINGS-ABC-programming-tutorial/mlflow-demo | 2af7ad439c5feebc5af3ba67086c0077fe142bbe | [
"MIT"
] | null | null | null | import numpy as np
import pytest
from lib4.brownian_motion import BrownianMotion, ParamBrownianMotion
CORRECT_DATASET = [
# (seed, initial_state, sigma, state_trajectory)
(123, 0.0, 10.0, np.array([
0.,
-9.891213503,
-13.56908001,
-0.68982741,
])),
(456, -2.0, 1.0, np.ar... | 30.039683 | 93 | 0.564333 | 3,511 | 0.893612 | 0 | 0 | 2,699 | 0.686943 | 0 | 0 | 437 | 0.111224 |
cafc7e9bfd9667324e0c0cf4454da54de8d2d177 | 4,280 | py | Python | src/exec/exec.py | rdoddanavar/hpr-sim | d2bc892865a093939f0a7e7c0713af849e87099a | [
"MIT"
] | 3 | 2021-01-30T21:22:06.000Z | 2022-01-12T06:49:01.000Z | src/exec/exec.py | rdoddanavar/hpr-sim | d2bc892865a093939f0a7e7c0713af849e87099a | [
"MIT"
] | 68 | 2019-04-22T20:06:11.000Z | 2022-03-26T19:03:17.000Z | src/exec/exec.py | rdoddanavar/hpr-sim | d2bc892865a093939f0a7e7c0713af849e87099a | [
"MIT"
] | 2 | 2021-01-30T21:22:08.000Z | 2021-04-27T06:15:33.000Z | # System modules
import sys
import os
import pdb
import pathlib
import copy
import multiprocessing as mp
import numpy as np
import yaml
# Path modifications
paths = ["../../build/src", "../preproc", "../util"]
for item in paths:
addPath = pathlib.Path(__file__).parent / item
sys.path.append(str(addPath.resolv... | 24.457143 | 80 | 0.577336 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,355 | 0.316589 |
caffd1b73a689729f231cad50675ec1c7e0fe3f4 | 29 | py | Python | ephypype/gather/__init__.py | jasmainak/ephypype | 257603cbb099cef7847a96c8eb141332fb85ebfa | [
"BSD-3-Clause"
] | null | null | null | ephypype/gather/__init__.py | jasmainak/ephypype | 257603cbb099cef7847a96c8eb141332fb85ebfa | [
"BSD-3-Clause"
] | null | null | null | ephypype/gather/__init__.py | jasmainak/ephypype | 257603cbb099cef7847a96c8eb141332fb85ebfa | [
"BSD-3-Clause"
] | null | null | null | from . import gather_conmats
| 14.5 | 28 | 0.827586 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1b020a047efb286d2a4246ddd8cdf39ac6043bbd | 40 | py | Python | src/poetry/puzzle/__init__.py | sivanbecker/poetry | 72497bcb66b5a1cc20e3aa95973c523a22b05bfa | [
"MIT"
] | 1 | 2020-02-01T07:13:05.000Z | 2020-02-01T07:13:05.000Z | src/poetry/puzzle/__init__.py | sivanbecker/poetry | 72497bcb66b5a1cc20e3aa95973c523a22b05bfa | [
"MIT"
] | 1 | 2021-12-31T19:44:26.000Z | 2022-03-08T20:52:13.000Z | src/poetry/puzzle/__init__.py | sivanbecker/poetry | 72497bcb66b5a1cc20e3aa95973c523a22b05bfa | [
"MIT"
] | 2 | 2020-12-07T04:26:21.000Z | 2021-09-25T21:46:36.000Z | from poetry.puzzle.solver import Solver
| 20 | 39 | 0.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1b0267cda0ae00986428ec6b28e72c523d8d9663 | 16,916 | py | Python | sellerhub/amazon/orders/ordersFile_columnization.py | clair513/SellerHub | 1bbc173c24c47e9ce1ec43bf627f281267c75fe7 | [
"MIT"
] | 1 | 2021-03-13T19:36:49.000Z | 2021-03-13T19:36:49.000Z | sellerhub/amazon/orders/ordersFile_columnization.py | clair513/SellerHub | 1bbc173c24c47e9ce1ec43bf627f281267c75fe7 | [
"MIT"
] | null | null | null | sellerhub/amazon/orders/ordersFile_columnization.py | clair513/SellerHub | 1bbc173c24c47e9ce1ec43bf627f281267c75fe7 | [
"MIT"
] | null | null | null | """
Script# : 3
INPUT: Raw Data File generated by Amazon Seller Central Portal for a particular seller that has been fed as webpage input by registered User AND undergone 'ordersFile_preprocessing' script.
OUTPUT: Delivers data for Information Dashboard as a Pandas DataFrame or TextParserself. Generalization and a... | 60.848921 | 1,234 | 0.632537 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10,815 | 0.639336 |
1b02aed7e5de0af16b5239e868db60820eb7d130 | 448 | py | Python | C1-G/generator.py | Matrix53/algo | 7a176dac9ed9c6ad65d1514afb6388f7ee6b912a | [
"MIT"
] | 1 | 2021-12-14T08:54:11.000Z | 2021-12-14T08:54:11.000Z | C1-G/generator.py | Matrix53/algo | 7a176dac9ed9c6ad65d1514afb6388f7ee6b912a | [
"MIT"
] | null | null | null | C1-G/generator.py | Matrix53/algo | 7a176dac9ed9c6ad65d1514afb6388f7ee6b912a | [
"MIT"
] | 1 | 2021-12-13T09:31:40.000Z | 2021-12-13T09:31:40.000Z | from cyaron import *
max_node = 1000000
for i in range(5):
io = IO(str(i + 1) + '.in', str(i + 1) + '.out')
tree = Graph.tree(max_node)
leaf = []
for i in tree.edges:
if len(i) == 1:
leaf.append(randint(0, 10000))
io.input_writeln(max_node)
io.input_writeln(tree.to_str(outp... | 28 | 76 | 0.613839 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 68 | 0.151786 |
1b02b03b1b37281b6a5b8bf7031ec157a8175644 | 19,091 | py | Python | src/model/soccer.py | celsomilne/soccer | b3b164b6610ebd88b13601970d2d4e65423d0a57 | [
"MIT"
] | null | null | null | src/model/soccer.py | celsomilne/soccer | b3b164b6610ebd88b13601970d2d4e65423d0a57 | [
"MIT"
] | 2 | 2021-06-08T20:34:37.000Z | 2022-02-10T01:12:59.000Z | src/model/soccer.py | celsomilne/soccer | b3b164b6610ebd88b13601970d2d4e65423d0a57 | [
"MIT"
] | null | null | null | import numpy as np
import cv2
import pandas as pd
from ._base import ModelBase
def merge_similar_lines(l, lines):
# Put unique lines in array if theres only 1, for looping
if len(lines.shape) == 1:
lines = np.array([lines])
# Translate line to align with each unique line
d = np.column_stack... | 36.926499 | 104 | 0.510031 | 14,280 | 0.747996 | 0 | 0 | 0 | 0 | 0 | 0 | 4,775 | 0.250118 |
1b03eaa75d1aee551f363fcba0197ce33eaa2183 | 766 | py | Python | osprey/cli/parser_worker.py | rmcgibbo/osprey | 0e0e11cafa3976854c0009be3bc562b8344218c6 | [
"Apache-2.0"
] | 5 | 2015-01-13T20:17:45.000Z | 2016-07-12T15:14:07.000Z | osprey/cli/parser_worker.py | rmcgibbo/osprey | 0e0e11cafa3976854c0009be3bc562b8344218c6 | [
"Apache-2.0"
] | null | null | null | osprey/cli/parser_worker.py | rmcgibbo/osprey | 0e0e11cafa3976854c0009be3bc562b8344218c6 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function, absolute_import, division
from argparse import ArgumentDefaultsHelpFormatter
def func(args, parser):
# delay import of the rest of the module to improve `osprey -h` performance
from ..execute_worker import execute
execute(args, parser)
def configure_parser(sub_pars... | 40.315789 | 79 | 0.703655 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 234 | 0.305483 |
1b057e16eef03b8e12ad5db657ab5807f753c9c8 | 4,772 | py | Python | lightshow.py | Antidisestablishmentarianism/lightshow | 13d248698e0e47ed5b19fb662959c359db7dca03 | [
"MIT"
] | null | null | null | lightshow.py | Antidisestablishmentarianism/lightshow | 13d248698e0e47ed5b19fb662959c359db7dca03 | [
"MIT"
] | null | null | null | lightshow.py | Antidisestablishmentarianism/lightshow | 13d248698e0e47ed5b19fb662959c359db7dca03 | [
"MIT"
] | null | null | null | #!/usr/bin/sudo / usr/bin/python
import RPi.GPIO as GPIO
import random
from time import sleep
# Use board pin numbering
GPIO.setmode(GPIO.BOARD)
GPIO.setwarnings(False)
# Start a new dictionary with desired LED names
leds = {'floor':[], 'top-left':[]}
# Take name of led and list of pins for RGB
def setupled(name, p... | 25.794595 | 98 | 0.551341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 483 | 0.101215 |
1b08b94f653176a7bb3c4eeecbcb0204092d0a1b | 2,711 | py | Python | configboy/build_config.py | aaronhua123/configboy | ac0a0d65cd6b8a9b7b0cbb9679ed7b5e551d547c | [
"MIT"
] | 1 | 2019-12-06T06:44:39.000Z | 2019-12-06T06:44:39.000Z | configboy/build_config.py | aaronhua123/configboy | ac0a0d65cd6b8a9b7b0cbb9679ed7b5e551d547c | [
"MIT"
] | null | null | null | configboy/build_config.py | aaronhua123/configboy | ac0a0d65cd6b8a9b7b0cbb9679ed7b5e551d547c | [
"MIT"
] | null | null | null | import configparser
from jinja2 import Template
conf = configparser.ConfigParser()
# 用config对象读取配置文件
conf.read("base.config.ini")
sections = conf.sections()
dit = {}
def analyze_ini():
'''
分析ini配置文件读取的数据，放到dit里面
:return:
'''
for classname in sections:
print(classname, conf.items(classname... | 25.575472 | 69 | 0.520472 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 899 | 0.316884 |
1b08dc9a93ae5d847eaf7656765d8790a54f1236 | 9,833 | py | Python | dynts/dsl/ast/base.py | quantmind/dynts | 21ac57c648bfec402fa6b1fe569496cf098fb5e8 | [
"BSD-3-Clause"
] | 57 | 2015-02-10T13:42:06.000Z | 2022-03-28T14:48:36.000Z | dynts/dsl/ast/base.py | quantmind/dynts | 21ac57c648bfec402fa6b1fe569496cf098fb5e8 | [
"BSD-3-Clause"
] | 1 | 2016-11-01T07:43:05.000Z | 2016-11-01T07:43:05.000Z | dynts/dsl/ast/base.py | quantmind/dynts | 21ac57c648bfec402fa6b1fe569496cf098fb5e8 | [
"BSD-3-Clause"
] | 17 | 2015-05-08T04:09:19.000Z | 2021-08-02T19:24:52.000Z | from functools import reduce
from dynts.conf import settings
from ...api import timeseries, is_timeseries
class Expr:
'''Base class for abstract syntax nodes
'''
def count(self):
'''Number of nodes'''
return 1
def malformed(self):
return False
@property
... | 27.855524 | 89 | 0.548866 | 9,626 | 0.978948 | 0 | 0 | 187 | 0.019018 | 0 | 0 | 1,795 | 0.182549 |
1b0944c79f8a702fe2867a9d3d9ea2355da44f81 | 5,633 | py | Python | utils/codes_distance.py | wemozj/Image-Compression-based-GMM-and-Attention-Module | 93f804dbcea8ffc1621456f3d104d0342c75373b | [
"Apache-2.0"
] | null | null | null | utils/codes_distance.py | wemozj/Image-Compression-based-GMM-and-Attention-Module | 93f804dbcea8ffc1621456f3d104d0342c75373b | [
"Apache-2.0"
] | null | null | null | utils/codes_distance.py | wemozj/Image-Compression-based-GMM-and-Attention-Module | 93f804dbcea8ffc1621456f3d104d0342c75373b | [
"Apache-2.0"
] | null | null | null | """
Calculates distance of some (bpp, metric) point (for some metric) to some codec on some dataset.
"""
import os
import numpy as np
import scipy.interpolate
from utils import other_codecs
import constants
from utils import logdir_helpers
from collections import defaultdict
from fjcommon import functools_ext as ft
f... | 37.304636 | 118 | 0.650985 | 1,093 | 0.194035 | 0 | 0 | 0 | 0 | 0 | 0 | 1,224 | 0.217291 |
1b09c96060e99d69a41efe3615e2a630b16fe7b1 | 18,056 | py | Python | guestbook.py | Wangchl2016/Music-Library | 0351d36b98a45e689ce2ec1c014e9f7ac88ff6ce | [
"Apache-2.0"
] | null | null | null | guestbook.py | Wangchl2016/Music-Library | 0351d36b98a45e689ce2ec1c014e9f7ac88ff6ce | [
"Apache-2.0"
] | null | null | null | guestbook.py | Wangchl2016/Music-Library | 0351d36b98a45e689ce2ec1c014e9f7ac88ff6ce | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from __future__ import unicode_literals
# Copyright 2016 Google Inc.
#
# 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/LICEN... | 32.829091 | 79 | 0.562528 | 15,548 | 0.861099 | 0 | 0 | 0 | 0 | 0 | 0 | 4,776 | 0.26451 |
1b0a112beb6f9b817075fb1f13f1e51e8667d3a1 | 2,245 | py | Python | tests/e2e_test.py | david-wirelab/tf-localstack | b92f1e3ddbaf1f643ffd8b30aa9dd7969c350969 | [
"MIT"
] | null | null | null | tests/e2e_test.py | david-wirelab/tf-localstack | b92f1e3ddbaf1f643ffd8b30aa9dd7969c350969 | [
"MIT"
] | null | null | null | tests/e2e_test.py | david-wirelab/tf-localstack | b92f1e3ddbaf1f643ffd8b30aa9dd7969c350969 | [
"MIT"
] | null | null | null | import os
import unittest
from runner import Runner
MODULE_NAME = "e2e"
RESOURCE_TYPE = "aws_vpc.this"
class TestE2E(unittest.TestCase):
@classmethod
def setUpClass(self):
self.snippet = """
provider "aws" {
access_key = "test"
region ... | 37.416667 | 117 | 0.460579 | 2,091 | 0.931403 | 0 | 0 | 1,905 | 0.848552 | 0 | 0 | 1,851 | 0.824499 |
1b0a363108dd0c38113cdb177788d3d39fa06984 | 854 | py | Python | statistics/phoneNumber.py | SLIPO-EU/poi-data-exploration | 4d11a14423a5b68c56da4131e67ff36e11dabe16 | [
"Apache-2.0"
] | 1 | 2019-02-25T09:36:36.000Z | 2019-02-25T09:36:36.000Z | statistics/phoneNumber.py | SLIPO-EU/poi-data-exploration | 4d11a14423a5b68c56da4131e67ff36e11dabe16 | [
"Apache-2.0"
] | null | null | null | statistics/phoneNumber.py | SLIPO-EU/poi-data-exploration | 4d11a14423a5b68c56da4131e67ff36e11dabe16 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import numpy as np
from collections import OrderedDict
from .statistics import Statistics
class PhoneNumber(Statistics):
categories = {
('Only numbers', '^[0-9]+$'),
('Numbers and parentheses', '^(?:[0-9]*[\(][0-9]+[\)][0-9]*)+$'),
('Numbers and + symbol', '^(?:[0-9]*[\+][0-9]+)+$'),
('Nu... | 35.583333 | 67 | 0.569087 | 742 | 0.868852 | 0 | 0 | 0 | 0 | 0 | 0 | 441 | 0.516393 |
1b0a78407a818985d4fb61e0d744f1663cbde1b1 | 2,256 | py | Python | tests/e2e/test_service.py | bleckfisk/audio-transcoder | e66e8c0038c594c12b84dd12fdcbc30d28b2263b | [
"MIT"
] | null | null | null | tests/e2e/test_service.py | bleckfisk/audio-transcoder | e66e8c0038c594c12b84dd12fdcbc30d28b2263b | [
"MIT"
] | 1 | 2022-01-12T21:06:30.000Z | 2022-01-12T21:06:30.000Z | tests/e2e/test_service.py | bleckfisk/audio-transcoder | e66e8c0038c594c12b84dd12fdcbc30d28b2263b | [
"MIT"
] | 1 | 2020-02-20T07:40:57.000Z | 2020-02-20T07:40:57.000Z | from pydub import AudioSegment
import os
from pydub.utils import mediainfo
from unittest import mock
from service.core import process_message
from service.aws_boto3 import (
listen_sqs_queue,
create_s3_resource,
create_sqs_resource,
)
from service.settings import (
REQUEST_QUEUE_NAME
)
"""
These two f... | 27.512195 | 78 | 0.698582 | 0 | 0 | 0 | 0 | 1,620 | 0.718085 | 0 | 0 | 820 | 0.363475 |
1b0cffde6a4bdaa088def23eae68fff02a1bde5e | 3,156 | py | Python | src/vccs/server/password.py | SUNET/VCCS2 | e5645bf19b92c1420559355b2bb1592792a6777b | [
"BSD-2-Clause"
] | null | null | null | src/vccs/server/password.py | SUNET/VCCS2 | e5645bf19b92c1420559355b2bb1592792a6777b | [
"BSD-2-Clause"
] | null | null | null | src/vccs/server/password.py | SUNET/VCCS2 | e5645bf19b92c1420559355b2bb1592792a6777b | [
"BSD-2-Clause"
] | null | null | null | from typing import List, Union
from binascii import unhexlify
from ndnkdf import NDNKDF
from vccs.server.db import PasswordCredential
from vccs.server.factors import RequestFactor
from vccs.server.hasher import VCCSYHSMHasher
from vccs.server.log import audit_log
async def authenticate_password(
cred: PasswordCr... | 41.526316 | 123 | 0.676806 | 0 | 0 | 0 | 0 | 0 | 0 | 2,885 | 0.914132 | 1,596 | 0.505703 |
1b0d0f7270ae5a49b20324d6bac9fd80de40cf21 | 1,226 | py | Python | src/magplan/xmd/tests/test_utils.py | f1nnix/magplan | 1bda6b53c6e96129e6634bff786b3052d04b0cef | [
"Unlicense"
] | 21 | 2018-12-14T09:08:11.000Z | 2022-01-28T14:33:24.000Z | src/magplan/xmd/tests/test_utils.py | f1nnix/magplan | 1bda6b53c6e96129e6634bff786b3052d04b0cef | [
"Unlicense"
] | 20 | 2019-01-11T20:40:01.000Z | 2022-01-30T16:01:38.000Z | src/magplan/xmd/tests/test_utils.py | f1nnix/magplan | 1bda6b53c6e96129e6634bff786b3052d04b0cef | [
"Unlicense"
] | 5 | 2019-02-08T01:21:51.000Z | 2021-11-25T17:43:04.000Z | import io
from unittest import TestCase
import pytest
from django.core.files import File
from django_dynamic_fixture import G
from magplan.models import Attachment
from magplan.xmd.utils import get_attachment_original_filename
@pytest.mark.django_db
class Test_get_attachment_original_filename(TestCase):
def set... | 33.135135 | 100 | 0.707993 | 971 | 0.792007 | 0 | 0 | 994 | 0.810767 | 0 | 0 | 243 | 0.198206 |
1b0ed233a468637761bc287409daba800a6b9ca3 | 17,877 | py | Python | topnum/utils.py | machine-intelligence-laboratory/OptimalNumberOfTopics | 87267223987a4cb54b3f0ec431e87ee684044c7b | [
"MIT"
] | 5 | 2020-05-06T14:13:54.000Z | 2020-09-06T15:54:01.000Z | topnum/utils.py | machine-intelligence-laboratory/OptimalNumberOfTopics | 87267223987a4cb54b3f0ec431e87ee684044c7b | [
"MIT"
] | 54 | 2020-02-10T07:08:31.000Z | 2020-09-08T21:45:39.000Z | topnum/utils.py | machine-intelligence-laboratory/OptimalNumberOfTopics | 87267223987a4cb54b3f0ec431e87ee684044c7b | [
"MIT"
] | 2 | 2021-01-16T08:40:25.000Z | 2021-06-04T05:35:36.000Z | import glob
import numpy as np
import os
import pandas as pd
import strictyaml
import tempfile
import shutil
import warnings
from collections import defaultdict
from inspect import signature
from strictyaml import Map, Str, Optional, Int, CommaSeparated
import topicnet
from topicnet.cooking_machine.dataset import Da... | 31.753108 | 100 | 0.654976 | 159 | 0.008894 | 0 | 0 | 0 | 0 | 0 | 0 | 4,102 | 0.229457 |
1b11280aec2954ad2cb925dd13d21f509185c325 | 4,757 | py | Python | approaches/networkx-graph/pac_naive_regexp_checker.py | athityakumar/btp | a1bdad0ed6162faa482673347707c09228d6cd9c | [
"MIT"
] | 1 | 2022-01-26T15:51:30.000Z | 2022-01-26T15:51:30.000Z | approaches/networkx-graph/pac_naive_regexp_checker.py | athityakumar/btp | a1bdad0ed6162faa482673347707c09228d6cd9c | [
"MIT"
] | 7 | 2017-08-25T12:36:20.000Z | 2018-04-23T04:08:38.000Z | approaches/networkx-graph/pac_naive_regexp_checker.py | athityakumar/btp | a1bdad0ed6162faa482673347707c09228d6cd9c | [
"MIT"
] | null | null | null | from pac_library import *
from regexp_naive import *
def fetch_training_words(language):
return(read_wordpairs('../daru-dataframe/spec/fixtures/'+language+'-train-high'))
def fetch_testing_words(language):
return(read_wordpairs('../daru-dataframe/spec/fixtures/'+language+'-dev'))
def fetch_common_words(language)... | 36.037879 | 145 | 0.741644 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 532 | 0.111835 |
1b11d7196c949a260576fffad7c4fd1f42930580 | 454 | py | Python | product/urls.py | Gandabh/E-commerce-Site | 8bc4ca85c9cd6f3ed1435e5767aef4ab315df559 | [
"MIT"
] | 1 | 2022-01-01T21:46:48.000Z | 2022-01-01T21:46:48.000Z | product/urls.py | Gandabh/E-commerce-Site | 8bc4ca85c9cd6f3ed1435e5767aef4ab315df559 | [
"MIT"
] | null | null | null | product/urls.py | Gandabh/E-commerce-Site | 8bc4ca85c9cd6f3ed1435e5767aef4ab315df559 | [
"MIT"
] | null | null | null | from django.urls import path,include
from product.views import (
ProductDetailView,
ProductView,
shopping_cart,
wishlist
)
app_name='product'
urlpatterns = [
path('product-detail/<int:pk>/', ProductDetailView.as_view(),name='product_detail'),
path('product-list/', ProductView.as_view(),name=... | 21.619048 | 88 | 0.702643 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 132 | 0.290749 |
1b11dd7f020db59bea173f520097d51262b0c2fe | 66 | py | Python | Problems/A complex expression/task.py | gabrielizalo/jetbrains-academy-zookeeper | 467b43da3cb81f82987daf6b063eb2078d476d4f | [
"MIT"
] | null | null | null | Problems/A complex expression/task.py | gabrielizalo/jetbrains-academy-zookeeper | 467b43da3cb81f82987daf6b063eb2078d476d4f | [
"MIT"
] | null | null | null | Problems/A complex expression/task.py | gabrielizalo/jetbrains-academy-zookeeper | 467b43da3cb81f82987daf6b063eb2078d476d4f | [
"MIT"
] | null | null | null | n = int(input())
new_n = ((((n * 2) * n) - n) // n)
print(new_n)
| 13.2 | 34 | 0.439394 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1b11ee2a8c6b97121d035177bf542ec2e234d162 | 1,346 | py | Python | GestureAgentsDemo/Utils.py | chaosct/GestureAgents | 9ec0adb1e59bf995d5808431edd4cb8bf8907728 | [
"MIT"
] | 1 | 2015-01-22T10:42:09.000Z | 2015-01-22T10:42:09.000Z | GestureAgentsDemo/Utils.py | chaosct/GestureAgents | 9ec0adb1e59bf995d5808431edd4cb8bf8907728 | [
"MIT"
] | null | null | null | GestureAgentsDemo/Utils.py | chaosct/GestureAgents | 9ec0adb1e59bf995d5808431edd4cb8bf8907728 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from GestureAgentsDemo.Render import Update, drawBatch
from pyglet.text import Label
from pyglet.clock import schedule_once
class DynamicValue(object):
"""docstring for DynamicValue"""
def __init__(self, value=0):
self.value = value
self.target = value
self.tim... | 28.638298 | 67 | 0.559435 | 1,191 | 0.884844 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0.040862 |
1b134054808512cec966fe38a018749a27aa30c8 | 1,437 | py | Python | jiant/tasks/lib/mbe.py | zlucia/jiant | 24aa148b6c617c82a635cd2a526dc4be5129e330 | [
"MIT"
] | null | null | null | jiant/tasks/lib/mbe.py | zlucia/jiant | 24aa148b6c617c82a635cd2a526dc4be5129e330 | [
"MIT"
] | null | null | null | jiant/tasks/lib/mbe.py | zlucia/jiant | 24aa148b6c617c82a635cd2a526dc4be5129e330 | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from jiant.tasks.lib.templates.shared import labels_to_bimap
from jiant.tasks.lib.templates import multiple_choice as mc_template
from jiant.utils.python.io import read_jsonl
@dataclass
class Example(mc_template.Example):
@property
def task(self):
return MbeTask
@dataclass
class... | 24.775862 | 83 | 0.727905 | 1,174 | 0.81698 | 0 | 0 | 717 | 0.498956 | 0 | 0 | 105 | 0.073069 |
1b14ba6dfc104cd29d8728d7b3da4a46ddc37365 | 1,590 | py | Python | tcfcli/cmds/native/common/runtime/python3.6/pstool/winps.py | alfredhuang211/scfcli | f5e086ff4fcee8d645682e85cd1486b28a224d08 | [
"Apache-2.0"
] | 103 | 2019-06-11T06:09:56.000Z | 2021-12-18T22:48:59.000Z | tcfcli/cmds/native/common/runtime/python3.6/pstool/winps.py | TencentCloud/Serverless-cli | 57f98b24cfd10712770a4806212cfb69d981a11a | [
"Apache-2.0"
] | 8 | 2019-07-12T12:08:40.000Z | 2020-10-20T07:18:17.000Z | tcfcli/cmds/native/common/runtime/python3.6/pstool/winps.py | TencentCloud/Serverless-cli | 57f98b24cfd10712770a4806212cfb69d981a11a | [
"Apache-2.0"
] | 49 | 2019-06-11T06:26:05.000Z | 2020-02-19T08:13:36.000Z | __all__ = ['win_peak_memory']
import ctypes
from ctypes import wintypes
GetCurrentProcess = ctypes.windll.kernel32.GetCurrentProcess
GetCurrentProcess.argtypes = []
GetCurrentProcess.restype = wintypes.HANDLE
SIZE_T = ctypes.c_size_t
class PROCESS_MEMORY_COUNTERS_EX(ctypes.Structure):
_fields_ = [
('cb'... | 32.44898 | 81 | 0.692453 | 512 | 0.322013 | 0 | 0 | 0 | 0 | 0 | 0 | 341 | 0.214465 |
1b1629216fd1f26d4a22e42ef8c1b7d156606871 | 3,120 | py | Python | trojai/test/modelgen/test_modelgen_config.py | C0ldstudy/trojai | 10ac6c719f367a569a48b19e7ef18cf90df3a310 | [
"Apache-2.0"
] | 59 | 2019-07-11T02:33:38.000Z | 2022-02-02T01:51:29.000Z | trojai/test/modelgen/test_modelgen_config.py | C0ldstudy/trojai | 10ac6c719f367a569a48b19e7ef18cf90df3a310 | [
"Apache-2.0"
] | 4 | 2020-04-13T03:48:32.000Z | 2021-09-11T05:13:57.000Z | trojai/test/modelgen/test_modelgen_config.py | C0ldstudy/trojai | 10ac6c719f367a569a48b19e7ef18cf90df3a310 | [
"Apache-2.0"
] | 19 | 2019-09-17T21:09:06.000Z | 2022-03-31T17:55:18.000Z | import unittest
from unittest.mock import Mock
import os
import shutil
import tempfile
import torchvision.models as models
from trojai.modelgen.architecture_factory import ArchitectureFactory
from trojai.modelgen.data_manager import DataManager
from trojai.modelgen.config import ModelGeneratorConfig
class MyArchFa... | 35.454545 | 109 | 0.707692 | 2,761 | 0.884936 | 0 | 0 | 103 | 0.033013 | 0 | 0 | 143 | 0.045833 |