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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b9ad055e162f0001e288ab22dec6a5a4746fd51d | 2,786 | py | Python | Neuro-Cognitive Models/Runs/Nonhier_run/res_nonhier.py | AGhaderi/spatial_attenNCM | 1f7edf17f55d804d2ae3360d23623c9ab5035518 | [
"MIT"
] | null | null | null | Neuro-Cognitive Models/Runs/Nonhier_run/res_nonhier.py | AGhaderi/spatial_attenNCM | 1f7edf17f55d804d2ae3360d23623c9ab5035518 | [
"MIT"
] | null | null | null | Neuro-Cognitive Models/Runs/Nonhier_run/res_nonhier.py | AGhaderi/spatial_attenNCM | 1f7edf17f55d804d2ae3360d23623c9ab5035518 | [
"MIT"
] | null | null | null | #!/home/a.ghaderi/.conda/envs/envjm/bin/python
# Model 2
import pystan
import pandas as pd
import numpy as np
import sys
sys.path.append('../../')
import utils
parts = 1
data = utils.get_data() #loading dateset
data = data[data['participant']==parts]
mis = np.where((data['n200lat']<.101)|(data['n200lat']>.... | 39.8 | 116 | 0.648959 | 390 | 2,786 | 4.541026 | 0.341026 | 0.045172 | 0.059289 | 0.028797 | 0.188594 | 0.094862 | 0.040655 | 0.040655 | 0.040655 | 0 | 0 | 0.041892 | 0.203159 | 2,786 | 69 | 117 | 40.376812 | 0.755856 | 0.262742 | 0 | 0 | 0 | 0 | 0.121362 | 0.013814 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.09434 | 0 | 0.09434 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9adc3a3c0f82e03cf53dd13486c80b1bb9dbf85 | 6,691 | py | Python | rq_dashboard/dashboard.py | refgenomics/rq-dashboard | cdfadd2b9aa9a66b0594fd5573e3c45fa8643f05 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | rq_dashboard/dashboard.py | refgenomics/rq-dashboard | cdfadd2b9aa9a66b0594fd5573e3c45fa8643f05 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | rq_dashboard/dashboard.py | refgenomics/rq-dashboard | cdfadd2b9aa9a66b0594fd5573e3c45fa8643f05 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | from redis import Redis
from redis import from_url
from rq import push_connection, pop_connection
from rq.job import Job
from functools import wraps
import times
from flask import Blueprint
from flask import current_app, url_for, abort
from flask import render_template
from rq import Queue, Worker
from rq import cancel... | 29.606195 | 115 | 0.67658 | 929 | 6,691 | 4.624327 | 0.19591 | 0.048184 | 0.029795 | 0.030959 | 0.196229 | 0.136639 | 0.079376 | 0.065875 | 0.036546 | 0.027467 | 0 | 0.005448 | 0.204454 | 6,691 | 225 | 116 | 29.737778 | 0.801616 | 0.028396 | 0 | 0.139535 | 0 | 0 | 0.074371 | 0.020059 | 0 | 0 | 0 | 0 | 0 | 1 | 0.127907 | false | 0.005814 | 0.087209 | 0.023256 | 0.325581 | 0.011628 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9b691941c62b002880bb1f21ca60b0e932e41c1 | 3,574 | py | Python | peaksampl.py | Gattocrucco/sipmfilter | 74215d6c53b998808fc6c677b46030234d996bdf | [
"CC-BY-4.0",
"MIT"
] | null | null | null | peaksampl.py | Gattocrucco/sipmfilter | 74215d6c53b998808fc6c677b46030234d996bdf | [
"CC-BY-4.0",
"MIT"
] | null | null | null | peaksampl.py | Gattocrucco/sipmfilter | 74215d6c53b998808fc6c677b46030234d996bdf | [
"CC-BY-4.0",
"MIT"
] | null | null | null | import numpy as np
def _adddims(a, b):
n = max(a.ndim, b.ndim)
a = np.expand_dims(a, tuple(range(n - a.ndim)))
b = np.expand_dims(b, tuple(range(n - b.ndim)))
return a, b
def _yz(y, z, t, yout):
"""
Shared implementation of peaksampl and sumpeaks.
"""
y = np.asarray(y)
z = np.asarr... | 28.822581 | 78 | 0.546726 | 560 | 3,574 | 3.4375 | 0.255357 | 0.01039 | 0.028052 | 0.010909 | 0.336104 | 0.275325 | 0.246234 | 0.214026 | 0.188052 | 0.188052 | 0 | 0.02549 | 0.286514 | 3,574 | 123 | 79 | 29.056911 | 0.729412 | 0.339675 | 0 | 0 | 0 | 0 | 0.01857 | 0 | 0 | 0 | 0 | 0 | 0.016949 | 1 | 0.067797 | false | 0 | 0.050847 | 0 | 0.186441 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9b9340675c6ceead7ff166bf8fe4d65fa580b58 | 4,597 | py | Python | backend/Washlist/tests.py | henrikhorluck/tdt4140-washlists | a75c3bc38a3f915eb48cf3e9ecba848f46a2bcaa | [
"MIT"
] | null | null | null | backend/Washlist/tests.py | henrikhorluck/tdt4140-washlists | a75c3bc38a3f915eb48cf3e9ecba848f46a2bcaa | [
"MIT"
] | 2 | 2020-05-02T18:17:44.000Z | 2020-05-02T18:18:02.000Z | backend/Washlist/tests.py | henrikhorluck/tdt4140-washlists | a75c3bc38a3f915eb48cf3e9ecba848f46a2bcaa | [
"MIT"
] | null | null | null | from django.test import TestCase
from django.urls import reverse
from rest_framework import status
from Dormroom.models import Dormroom
from SIFUser.mixins import AuthTestMixin
from StudentVillage.models import StudentVillage
from Washlist.jobs import reset_washlists
from Washlist.models.Templates import TemplateList... | 35.091603 | 92 | 0.67022 | 493 | 4,597 | 6.137931 | 0.227181 | 0.051553 | 0.068407 | 0.051223 | 0.575017 | 0.562789 | 0.542631 | 0.542631 | 0.496034 | 0.421679 | 0 | 0.00766 | 0.233196 | 4,597 | 130 | 93 | 35.361538 | 0.85078 | 0.052861 | 0 | 0.452632 | 0 | 0 | 0.054168 | 0.025916 | 0 | 0 | 0 | 0 | 0.126316 | 1 | 0.105263 | false | 0 | 0.105263 | 0 | 0.252632 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9ba39e57d52ad0baaeb81fbe95a03b7bb17d4ad | 3,792 | py | Python | torchvision/prototype/models/mobilenetv3.py | piyush01123/vision | c6722307e6860057b4855483d237fe00a213dcf6 | [
"BSD-3-Clause"
] | null | null | null | torchvision/prototype/models/mobilenetv3.py | piyush01123/vision | c6722307e6860057b4855483d237fe00a213dcf6 | [
"BSD-3-Clause"
] | null | null | null | torchvision/prototype/models/mobilenetv3.py | piyush01123/vision | c6722307e6860057b4855483d237fe00a213dcf6 | [
"BSD-3-Clause"
] | null | null | null | from functools import partial
from typing import Any, Optional, List
from torchvision.prototype.transforms import ImageNetEval
from torchvision.transforms.functional import InterpolationMode
from ...models.mobilenetv3 import MobileNetV3, _mobilenet_v3_conf, InvertedResidualConfig
from ._api import WeightsEnum, Weight... | 34.472727 | 119 | 0.704114 | 426 | 3,792 | 5.953052 | 0.288732 | 0.108438 | 0.063091 | 0.054416 | 0.549685 | 0.494874 | 0.468849 | 0.413249 | 0.413249 | 0.413249 | 0 | 0.048403 | 0.182753 | 3,792 | 109 | 120 | 34.788991 | 0.769926 | 0 | 0 | 0.238636 | 0 | 0.034091 | 0.214399 | 0.013713 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034091 | false | 0 | 0.090909 | 0 | 0.238636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9bb907819b5835937644fde4b8d08e5dd987580 | 1,036 | py | Python | crawler/tests.py | mental689/paddict | 493268b62531c698687d42416edf61c602250133 | [
"MIT"
] | 1 | 2019-06-22T10:28:21.000Z | 2019-06-22T10:28:21.000Z | crawler/tests.py | mental689/paddict | 493268b62531c698687d42416edf61c602250133 | [
"MIT"
] | 4 | 2020-09-05T01:48:18.000Z | 2022-03-02T04:29:25.000Z | crawler/tests.py | mental689/paddict | 493268b62531c698687d42416edf61c602250133 | [
"MIT"
] | null | null | null | from django.test import TestCase
# Create your tests here.
from crawler.download import *
from crawler.models import *
class AnimalDownloadTestCase(TestCase):
def setUp(self):
self.stopWords = ["CVPR 2019", "Computer Vision Foundation."]
self.url = "/Users/tuannguyenanh/Desktop/cvpr2019.html"#"htt... | 32.375 | 106 | 0.608108 | 126 | 1,036 | 4.952381 | 0.555556 | 0.057692 | 0.064103 | 0.073718 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03073 | 0.246139 | 1,036 | 31 | 107 | 33.419355 | 0.768246 | 0.100386 | 0 | 0.086957 | 0 | 0 | 0.168649 | 0.045405 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.130435 | 0 | 0.26087 | 0.086957 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9bfcc9ca3f71d3591d1b453eea9313adf491d9f | 452 | py | Python | test_scripts/xml_example.py | petervdb/testrep1 | 76b6eb3de2deb9596c055f252191e28587d5520c | [
"MIT"
] | 1 | 2015-11-17T21:35:44.000Z | 2015-11-17T21:35:44.000Z | test_scripts/xml_example.py | petervdb/testrep1 | 76b6eb3de2deb9596c055f252191e28587d5520c | [
"MIT"
] | null | null | null | test_scripts/xml_example.py | petervdb/testrep1 | 76b6eb3de2deb9596c055f252191e28587d5520c | [
"MIT"
] | null | null | null | #!/usr/bin/python3
from urllib.request import urlopen
from xml.etree.ElementTree import parse
# Download the RSS feed and parse it
u = urlopen('http://planet.python.org/rss20.xml')
doc = parse(u)
# Extract and output tags of interest
for item in doc.iterfind('channel/item'):
title = item.findtext('title')
date = i... | 20.545455 | 49 | 0.725664 | 67 | 452 | 4.895522 | 0.641791 | 0.109756 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007673 | 0.134956 | 452 | 21 | 50 | 21.52381 | 0.831202 | 0.19469 | 0 | 0 | 0 | 0 | 0.219444 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.153846 | 0.384615 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9c06414f6de5d6df932f87abe0ac2addfe2d410 | 1,489 | py | Python | contacts/urls.py | anthowen/duplify | 846d01c1b21230937fdf0281b0cf8c0b08a8c24e | [
"MIT"
] | 1 | 2019-04-21T18:57:57.000Z | 2019-04-21T18:57:57.000Z | contacts/urls.py | anthowen/duplify | 846d01c1b21230937fdf0281b0cf8c0b08a8c24e | [
"MIT"
] | null | null | null | contacts/urls.py | anthowen/duplify | 846d01c1b21230937fdf0281b0cf8c0b08a8c24e | [
"MIT"
] | null | null | null | """dedupper_app URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-... | 38.179487 | 85 | 0.672263 | 209 | 1,489 | 4.746411 | 0.368421 | 0.060484 | 0.015121 | 0.024194 | 0.117944 | 0.117944 | 0.075605 | 0 | 0 | 0 | 0 | 0.006354 | 0.154466 | 1,489 | 38 | 86 | 39.184211 | 0.781573 | 0.699127 | 0 | 0 | 0 | 0 | 0.172811 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9c1d738b7414d020a32d72c8b5b4b39a4b6d1d4 | 2,667 | py | Python | CPB100/lab2b/scheduled/ingestapp.py | pranaynanda/training-data-analyst | f10ab778589129239fd5b277cfdefb41638eded5 | [
"Apache-2.0"
] | null | null | null | CPB100/lab2b/scheduled/ingestapp.py | pranaynanda/training-data-analyst | f10ab778589129239fd5b277cfdefb41638eded5 | [
"Apache-2.0"
] | null | null | null | CPB100/lab2b/scheduled/ingestapp.py | pranaynanda/training-data-analyst | f10ab778589129239fd5b277cfdefb41638eded5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# 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/LICENSE-2.0
#
# Unless required by applicable law or ... | 32.13253 | 214 | 0.683915 | 366 | 2,667 | 4.904372 | 0.486339 | 0.033426 | 0.030084 | 0.017827 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011199 | 0.196475 | 2,667 | 82 | 215 | 32.52439 | 0.826412 | 0.285339 | 0 | 0.047619 | 0 | 0.047619 | 0.384697 | 0.014346 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.119048 | 0.02381 | 0.261905 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9c731695680778a55c685fcfc15ab5e3eccf437 | 5,438 | py | Python | dramkit/_tmp/VMD.py | Genlovy-Hoo/dramkit | fa3d2f35ebe9effea88a19e49d876b43d3c5c4c7 | [
"MIT"
] | null | null | null | dramkit/_tmp/VMD.py | Genlovy-Hoo/dramkit | fa3d2f35ebe9effea88a19e49d876b43d3c5c4c7 | [
"MIT"
] | null | null | null | dramkit/_tmp/VMD.py | Genlovy-Hoo/dramkit | fa3d2f35ebe9effea88a19e49d876b43d3c5c4c7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
def vmd( signal, alpha, tau, K, DC, init, tol):
'''
用VMD分解算法时只要把信号输入进行分解就行了,只是对信号进行分解,和采样频率没有关系,
VMD的输入参数也没有采样频率。
VMD分解出的各分量在输出量 u 中,这个和信号的长度、信号的采样频率没有关系。
迭代时各分量的中心频率在输出量omega,可以用2*pi/fs*omega求出中心频率,
但迭代时的频率是变化的。
Input and Parameters:
signal ... | 37.503448 | 141 | 0.580912 | 878 | 5,438 | 3.494305 | 0.252847 | 0.035202 | 0.044329 | 0.026402 | 0.203716 | 0.133963 | 0.102999 | 0.084746 | 0.084746 | 0.073664 | 0 | 0.029659 | 0.255976 | 5,438 | 144 | 142 | 37.763889 | 0.728621 | 0.400331 | 0 | 0.086957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014493 | false | 0 | 0.014493 | 0 | 0.043478 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9c81413c2bd63d72d0731352d31911ef52240f6 | 480 | py | Python | forum/main.py | asmaasalih/my_project | 89183d7a2578fa302e94ea29570ab527e9ca47b5 | [
"MIT"
] | 1 | 2018-03-21T07:51:36.000Z | 2018-03-21T07:51:36.000Z | forum/main.py | asmaasalih/my_project | 89183d7a2578fa302e94ea29570ab527e9ca47b5 | [
"MIT"
] | null | null | null | forum/main.py | asmaasalih/my_project | 89183d7a2578fa302e94ea29570ab527e9ca47b5 | [
"MIT"
] | null | null | null | import models
import stores
member1 =models.Member("ahmed",33)
member2 =models.Member("mohamed",30)
post1=models.Post("Post1", "Content1")
post2= models.Post("Post2", "Content2")
post3= models.Post("Post3", "Content3")
#member store
member_store=stores.MemberStore()
member_store.add(member1)
member_store.add(member... | 20.869565 | 39 | 0.772917 | 69 | 480 | 5.217391 | 0.347826 | 0.152778 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044843 | 0.070833 | 480 | 22 | 40 | 21.818182 | 0.762332 | 0.025 | 0 | 0 | 0 | 0 | 0.109208 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9c964b752a9622a17123202e7aae50d1718a48a | 1,345 | py | Python | question3.py | nosisky/algo-solution | a9276f73ba63b1a0965c194885aea6cadfab0e0b | [
"MIT"
] | 1 | 2019-08-14T12:32:49.000Z | 2019-08-14T12:32:49.000Z | question3.py | nosisky/algo-solution | a9276f73ba63b1a0965c194885aea6cadfab0e0b | [
"MIT"
] | null | null | null | question3.py | nosisky/algo-solution | a9276f73ba63b1a0965c194885aea6cadfab0e0b | [
"MIT"
] | null | null | null | # A string S consisting of N characters is considered to be properly nested if any of the following conditions is true:
# S is empty;
# S has the form "(U)" or "[U]" or "{U}" where U is a properly nested string; S has the form "VW" where V and W are properly nested strings.
# For example, the string "{[()()]}" is prope... | 42.03125 | 140 | 0.66171 | 203 | 1,345 | 4.384236 | 0.433498 | 0.078652 | 0.017978 | 0.040449 | 0.134831 | 0.134831 | 0.069663 | 0 | 0 | 0 | 0 | 0.010148 | 0.194052 | 1,345 | 31 | 141 | 43.387097 | 0.810886 | 0.692193 | 0 | 0.142857 | 0 | 0 | 0.095 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0 | 0 | 0.357143 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9ca4ff833bf2ee267f7f1b8ecf69069cd8c4b31 | 1,996 | py | Python | Teil_27_Game_of_Life_3d.py | chrMenzel/A-beautiful-code-in-Python | 92ee43c1fb03c299384d4de8bebb590c5ba1b623 | [
"MIT"
] | 50 | 2018-12-23T15:46:16.000Z | 2022-03-28T15:49:59.000Z | Teil_27_Game_of_Life_3d.py | chrMenzel/A-beautiful-code-in-Python | 92ee43c1fb03c299384d4de8bebb590c5ba1b623 | [
"MIT"
] | 9 | 2018-12-03T10:31:29.000Z | 2022-01-20T14:41:33.000Z | Teil_27_Game_of_Life_3d.py | chrMenzel/A-beautiful-code-in-Python | 92ee43c1fb03c299384d4de8bebb590c5ba1b623 | [
"MIT"
] | 69 | 2019-02-02T11:59:09.000Z | 2022-03-28T15:54:28.000Z | import bpy
import random as rnd
from collections import Counter
import itertools as iter
feld_von, feld_bis = -4, 4
spielfeld_von, spielfeld_bis = feld_von-6, feld_bis+6
anz = int((feld_bis-feld_von)**3*.3)
spielfeld = {(rnd.randint(feld_von, feld_bis), rnd.randint(
feld_von, feld_bis), rnd.randint(feld_von, fe... | 28.927536 | 102 | 0.67986 | 341 | 1,996 | 3.859238 | 0.302053 | 0.031915 | 0.049392 | 0.042553 | 0.234043 | 0.197568 | 0.179331 | 0.179331 | 0.12386 | 0.103343 | 0 | 0.043372 | 0.17986 | 1,996 | 68 | 103 | 29.352941 | 0.760538 | 0 | 0 | 0.037037 | 0 | 0 | 0.036573 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.074074 | 0 | 0.148148 | 0.018519 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9ca98991068e30844d7bcc8e336f70de5eef5a9 | 1,824 | py | Python | power_perceiver/xr_batch_processor/reduce_num_pv_systems.py | openclimatefix/power_perceiver | bafcdfaf6abf42fbab09da641479f74709ddd395 | [
"MIT"
] | null | null | null | power_perceiver/xr_batch_processor/reduce_num_pv_systems.py | openclimatefix/power_perceiver | bafcdfaf6abf42fbab09da641479f74709ddd395 | [
"MIT"
] | 33 | 2022-02-16T07:51:41.000Z | 2022-03-31T11:24:11.000Z | power_perceiver/xr_batch_processor/reduce_num_pv_systems.py | openclimatefix/power_perceiver | bafcdfaf6abf42fbab09da641479f74709ddd395 | [
"MIT"
] | null | null | null | from dataclasses import dataclass
import numpy as np
import xarray as xr
from power_perceiver.load_prepared_batches.data_sources import PV
from power_perceiver.load_prepared_batches.data_sources.prepared_data_source import XarrayBatch
@dataclass
class ReduceNumPVSystems:
"""Reduce the number of PV systems per e... | 39.652174 | 97 | 0.721491 | 247 | 1,824 | 5.044534 | 0.421053 | 0.072231 | 0.05618 | 0.08427 | 0.170947 | 0.077047 | 0.077047 | 0.077047 | 0 | 0 | 0 | 0.002096 | 0.215461 | 1,824 | 45 | 98 | 40.533333 | 0.868623 | 0.272478 | 0 | 0 | 0 | 0 | 0.012327 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.192308 | 0 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9cc65aafe29eb9820f902e036880e65947e1e2d | 857 | py | Python | HelloWorld_python/log/demo_log_3.py | wang153723482/HelloWorld_my | b8642ad9742f95cfebafc61f25b00e917485e50c | [
"Apache-2.0"
] | null | null | null | HelloWorld_python/log/demo_log_3.py | wang153723482/HelloWorld_my | b8642ad9742f95cfebafc61f25b00e917485e50c | [
"Apache-2.0"
] | null | null | null | HelloWorld_python/log/demo_log_3.py | wang153723482/HelloWorld_my | b8642ad9742f95cfebafc61f25b00e917485e50c | [
"Apache-2.0"
] | null | null | null | #encoding=utf8
# 按天生成文件
import logging
import time
from logging.handlers import TimedRotatingFileHandler
#----------------------------------------------------------------------
if __name__ == "__main__":
logFilePath = "timed_test.log"
logger = logging.getLogger("YouLoggerName")
logger.setLevel(logging.... | 29.551724 | 89 | 0.536756 | 77 | 857 | 5.857143 | 0.597403 | 0.066519 | 0.084257 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009756 | 0.28238 | 857 | 29 | 90 | 29.551724 | 0.723577 | 0.124854 | 0 | 0 | 0 | 0 | 0.159732 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9cda5cbb2749647d6a78abf80d9eb5c24205425 | 341 | py | Python | tests/test_gen_epub.py | ffreemt/tmx2epub | 55a59cb2a9b7f42031a65f64c29e5c43fdb487ea | [
"MIT"
] | null | null | null | tests/test_gen_epub.py | ffreemt/tmx2epub | 55a59cb2a9b7f42031a65f64c29e5c43fdb487ea | [
"MIT"
] | null | null | null | tests/test_gen_epub.py | ffreemt/tmx2epub | 55a59cb2a9b7f42031a65f64c29e5c43fdb487ea | [
"MIT"
] | null | null | null | """ test gen_epub. """
from tmx2epub.gen_epub import gen_epub
def test_gen_epub2():
""" test_gen_epub2. """
from pathlib import Path
infile = r"tests\2.tmx"
stem = Path(infile).absolute().stem
outfile = f"{Path(infile).absolute().parent / stem}.epub"
assert gen_epub(infile, debug=True) == out... | 22.733333 | 61 | 0.653959 | 48 | 341 | 4.479167 | 0.5 | 0.130233 | 0.111628 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018315 | 0.199413 | 341 | 14 | 62 | 24.357143 | 0.769231 | 0.123167 | 0 | 0 | 0 | 0 | 0.192308 | 0.108392 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.142857 | false | 0 | 0.285714 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9cde2fbd07898c518510cadb194827f6566c927 | 716 | py | Python | pub_sub/python/http/checkout/app.py | amulyavarote/quickstarts | c21a8f58d515b28eaa8a3680388fa06995c2331b | [
"Apache-2.0"
] | null | null | null | pub_sub/python/http/checkout/app.py | amulyavarote/quickstarts | c21a8f58d515b28eaa8a3680388fa06995c2331b | [
"Apache-2.0"
] | null | null | null | pub_sub/python/http/checkout/app.py | amulyavarote/quickstarts | c21a8f58d515b28eaa8a3680388fa06995c2331b | [
"Apache-2.0"
] | null | null | null | import json
import time
import random
import logging
import requests
import os
logging.basicConfig(level=logging.INFO)
base_url = os.getenv('BASE_URL', 'http://localhost') + ':' + os.getenv(
'DAPR_HTTP_PORT', '3500')
PUBSUB_NAME = 'order_pub_sub'
TOPIC = 'orders'
logging.info('Publishing to baseUR... | 25.571429 | 72 | 0.642458 | 100 | 716 | 4.49 | 0.5 | 0.062361 | 0.035635 | 0.062361 | 0.10245 | 0.10245 | 0 | 0 | 0 | 0 | 0 | 0.017825 | 0.21648 | 716 | 27 | 73 | 26.518519 | 0.782531 | 0.078212 | 0 | 0 | 0 | 0 | 0.241641 | 0.031915 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9ce404499c062b33e8623b446d27dfebe6f033f | 52,312 | py | Python | jj.py | smailedge/pro | f86347d4368bc97aa860b37caa9ba10e84a93738 | [
"Unlicense"
] | 1 | 2019-08-14T04:17:06.000Z | 2019-08-14T04:17:06.000Z | jj.py | smailedge/pro | f86347d4368bc97aa860b37caa9ba10e84a93738 | [
"Unlicense"
] | null | null | null | jj.py | smailedge/pro | f86347d4368bc97aa860b37caa9ba10e84a93738 | [
"Unlicense"
] | 7 | 2018-10-27T11:58:45.000Z | 2021-02-11T19:45:30.000Z | # -*- coding: utf-8 -*-
from linepy import *
from datetime import datetime
from time import sleep
from humanfriendly import format_timespan, format_size, format_number, format_length
import time, random, sys, json, codecs, threading, glob, re, string, os, requests, subprocess, six, ast, pytz, urllib, urllib.parse
#===... | 51.742829 | 168 | 0.404267 | 4,504 | 52,312 | 4.70071 | 0.132549 | 0.067542 | 0.035613 | 0.039108 | 0.508596 | 0.436992 | 0.400057 | 0.371717 | 0.340591 | 0.330389 | 0 | 0.011643 | 0.443436 | 52,312 | 1,010 | 169 | 51.794059 | 0.710287 | 0.037104 | 0 | 0.448598 | 0 | 0.001038 | 0.133908 | 0.006538 | 0 | 0 | 0 | 0 | 0 | 1 | 0.006231 | false | 0.012461 | 0.005192 | 0 | 0.017653 | 0.014538 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9cf5fa54caecef97e6454178f438ce16bc99d7b | 241 | py | Python | fetch_data.py | bitfag/bt-macd-binance | eeffe52f8e561ff521629839078ff886e7bf700e | [
"MIT"
] | null | null | null | fetch_data.py | bitfag/bt-macd-binance | eeffe52f8e561ff521629839078ff886e7bf700e | [
"MIT"
] | null | null | null | fetch_data.py | bitfag/bt-macd-binance | eeffe52f8e561ff521629839078ff886e7bf700e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from btmacd.binance_fetcher import BinanceFetcher
def main():
fetcher = BinanceFetcher("BTCUSDT", filename="binance_ohlc.csv", start_date="01.01.2018")
fetcher.fetch()
if __name__ == "__main__":
main()
| 18.538462 | 93 | 0.705394 | 30 | 241 | 5.3 | 0.766667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039024 | 0.149378 | 241 | 12 | 94 | 20.083333 | 0.736585 | 0.082988 | 0 | 0 | 0 | 0 | 0.186364 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9d0d7e9fc82e29bf1385d169d21f03d43d467e2 | 25,508 | py | Python | tensorflow_probability/python/mcmc/diagnostic.py | Frightera/probability | deac4562cbc1056e6abebc7450218d38444fe65d | [
"Apache-2.0"
] | 1 | 2022-03-06T15:37:18.000Z | 2022-03-06T15:37:18.000Z | tensorflow_probability/python/mcmc/diagnostic.py | Frightera/probability | deac4562cbc1056e6abebc7450218d38444fe65d | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/mcmc/diagnostic.py | Frightera/probability | deac4562cbc1056e6abebc7450218d38444fe65d | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The TensorFlow Probability Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 43.015177 | 85 | 0.663361 | 3,707 | 25,508 | 4.408417 | 0.180469 | 0.021295 | 0.01542 | 0.021417 | 0.282646 | 0.229225 | 0.187492 | 0.128809 | 0.120609 | 0.095766 | 0 | 0.022847 | 0.238121 | 25,508 | 592 | 86 | 43.087838 | 0.818051 | 0.604869 | 0 | 0.123153 | 0 | 0 | 0.055835 | 0.019799 | 0 | 0 | 0 | 0.001689 | 0.044335 | 1 | 0.044335 | false | 0 | 0.059113 | 0.009852 | 0.157635 | 0.004926 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9d2c04ffcb32d5c9ad6c0f626a368e22db97763 | 4,504 | py | Python | tests/data/s3_scrape_config.py | kids-first/kf-api-study-creator | 93a79b108b6474f9b4135ace06c89ddcf63dd257 | [
"Apache-2.0"
] | 3 | 2019-05-04T02:07:28.000Z | 2020-10-16T17:47:44.000Z | tests/data/s3_scrape_config.py | kids-first/kf-api-study-creator | 93a79b108b6474f9b4135ace06c89ddcf63dd257 | [
"Apache-2.0"
] | 604 | 2019-02-21T18:14:51.000Z | 2022-02-10T08:13:54.000Z | tests/data/s3_scrape_config.py | kids-first/kf-api-study-creator | 93a79b108b6474f9b4135ace06c89ddcf63dd257 | [
"Apache-2.0"
] | null | null | null | """
This is an extract config intended for S3 object manifests produced by TBD.
To use it, you must import it in another extract config and override at least
the `source_data_url`. You may also append additional operations to the
`operations` list as well.
For example you could have the following in your extract conf... | 27.463415 | 78 | 0.67984 | 672 | 4,504 | 4.321429 | 0.239583 | 0.162879 | 0.140496 | 0.065083 | 0.399793 | 0.225895 | 0.110537 | 0.070592 | 0.060606 | 0.027548 | 0 | 0.005843 | 0.202043 | 4,504 | 163 | 79 | 27.631902 | 0.80217 | 0.228686 | 0 | 0.128713 | 0 | 0 | 0.108148 | 0.020444 | 0 | 0 | 0 | 0 | 0 | 1 | 0.049505 | false | 0 | 0.049505 | 0 | 0.148515 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9d3222fd93bbc8ba199ba7a401394dc7531a2ff | 665 | py | Python | hard-gists/5c973ec1b5ab2e387646/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 21 | 2019-07-08T08:26:45.000Z | 2022-01-24T23:53:25.000Z | hard-gists/5c973ec1b5ab2e387646/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 5 | 2019-06-15T14:47:47.000Z | 2022-02-26T05:02:56.000Z | hard-gists/5c973ec1b5ab2e387646/snippet.py | jjhenkel/dockerizeme | eaa4fe5366f6b9adf74399eab01c712cacaeb279 | [
"Apache-2.0"
] | 17 | 2019-05-16T03:50:34.000Z | 2021-01-14T14:35:12.000Z | import bpy
from bpy.app.handlers import persistent
bl_info = {
"name": "Playback Once",
"author": "Adhi Hargo",
"version": (1, 0, 0),
"blender": (2, 67, 3),
"location": "",
"description": "Playback once.",
"warning": "",
"wiki_url": "",
"tracker_url": "",
"category": "Animation"... | 22.931034 | 63 | 0.645113 | 75 | 665 | 5.48 | 0.613333 | 0.043796 | 0.10219 | 0.092457 | 0.136253 | 0.136253 | 0 | 0 | 0 | 0 | 0 | 0.013035 | 0.192481 | 665 | 28 | 64 | 23.75 | 0.752328 | 0 | 0 | 0 | 0 | 0 | 0.196992 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.086957 | 0 | 0.217391 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9d47acd47b8bd0babe955a7bbbde7c4d9080b36 | 688 | py | Python | Py3Challenges/saves/challenges/c6_min.py | AlbertUnruh/Py3Challenges | 52f03f157860f6464f0c1710bf051a8099c29ea2 | [
"MIT"
] | 2 | 2022-02-13T04:57:10.000Z | 2022-02-13T10:40:14.000Z | Py3Challenges/saves/challenges/c6_min.py | AlbertUnruh/Py3Challenges | 52f03f157860f6464f0c1710bf051a8099c29ea2 | [
"MIT"
] | null | null | null | Py3Challenges/saves/challenges/c6_min.py | AlbertUnruh/Py3Challenges | 52f03f157860f6464f0c1710bf051a8099c29ea2 | [
"MIT"
] | null | null | null | """
To master this you should consider using the builtin-``min``-function.
"""
from ...challenge import Challenge
from random import randint
x = []
for _ in range(randint(2, 10)):
x.append(randint(1, 100))
intro = f"You have to print the lowest value of {', '.join(str(_) for _ in x[:-1])} and {x[-1]}. (values: x... | 22.193548 | 109 | 0.632267 | 95 | 688 | 4.463158 | 0.610526 | 0.113208 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016729 | 0.218023 | 688 | 30 | 110 | 22.933333 | 0.771375 | 0.101744 | 0 | 0 | 0 | 0.05 | 0.165574 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.1 | 0 | 0.25 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9d600352f466e38045c7614f4b0151d5eb8f878 | 4,625 | py | Python | services/web/server/tests/unit/with_dbs/01/test_director_v2.py | mrnicegyu11/osparc-simcore | b6fa6c245dbfbc18cc74a387111a52de9b05d1f4 | [
"MIT"
] | null | null | null | services/web/server/tests/unit/with_dbs/01/test_director_v2.py | mrnicegyu11/osparc-simcore | b6fa6c245dbfbc18cc74a387111a52de9b05d1f4 | [
"MIT"
] | 1 | 2021-11-29T13:38:09.000Z | 2021-11-29T13:38:09.000Z | services/web/server/tests/unit/with_dbs/01/test_director_v2.py | mrnicegyu11/osparc-simcore | b6fa6c245dbfbc18cc74a387111a52de9b05d1f4 | [
"MIT"
] | null | null | null | # pylint:disable=unused-variable
# pylint:disable=unused-argument
# pylint:disable=redefined-outer-name
from typing import AsyncIterator
import pytest
from aioresponses import aioresponses
from faker import Faker
from hypothesis import HealthCheck, given, settings
from hypothesis import strategies as st
from models_... | 30.833333 | 87 | 0.780973 | 626 | 4,625 | 5.428115 | 0.161342 | 0.049441 | 0.045909 | 0.071218 | 0.508534 | 0.457034 | 0.436433 | 0.389347 | 0.389347 | 0.375221 | 0 | 0.007818 | 0.142703 | 4,625 | 149 | 88 | 31.040268 | 0.84918 | 0.020973 | 0 | 0.256637 | 0 | 0 | 0.011715 | 0 | 0 | 0 | 0 | 0 | 0.141593 | 1 | 0.026549 | false | 0 | 0.115044 | 0.026549 | 0.168142 | 0.00885 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9d6dd8bd3445675e1356c10ac0bb61cd00aba81 | 3,027 | py | Python | generator.py | Geoalert/emergency-mapping | 96668e4e5aa2b520e5727536f7a8f4c262ee3da6 | [
"MIT"
] | 3 | 2018-04-04T17:58:53.000Z | 2021-10-14T08:50:13.000Z | generator.py | aeronetlab/map_augury | 96668e4e5aa2b520e5727536f7a8f4c262ee3da6 | [
"MIT"
] | null | null | null | generator.py | aeronetlab/map_augury | 96668e4e5aa2b520e5727536f7a8f4c262ee3da6 | [
"MIT"
] | 1 | 2020-03-24T12:07:07.000Z | 2020-03-24T12:07:07.000Z | import numpy as np
def random_augmentation(img, mask):
#you can add any augmentations you need
return img, mask
def batch_generator(image, mask,
batch_size=1,
crop_size=0,
patch_size=256,
bbox= None,
augment... | 40.905405 | 116 | 0.570202 | 417 | 3,027 | 3.980815 | 0.28777 | 0.06506 | 0.016867 | 0.028916 | 0.183133 | 0.128916 | 0.079518 | 0.079518 | 0.055422 | 0.055422 | 0 | 0.022602 | 0.342253 | 3,027 | 73 | 117 | 41.465753 | 0.81115 | 0.269574 | 0 | 0 | 0 | 0 | 0.045855 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042553 | false | 0 | 0.021277 | 0.021277 | 0.085106 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9d71e12c5fdd4a3220a64251c8e0e2c9a302fe4 | 13,351 | py | Python | awx/api/metadata.py | Avinesh/awx | 6310a2edd890d6062a9f6bcdeb2b46c4b876c2bf | [
"Apache-2.0"
] | 1 | 2021-09-07T14:53:57.000Z | 2021-09-07T14:53:57.000Z | awx/api/metadata.py | Avinesh/awx | 6310a2edd890d6062a9f6bcdeb2b46c4b876c2bf | [
"Apache-2.0"
] | 2 | 2020-02-04T05:01:38.000Z | 2020-02-18T06:44:52.000Z | awx/api/metadata.py | Avinesh/awx | 6310a2edd890d6062a9f6bcdeb2b46c4b876c2bf | [
"Apache-2.0"
] | 1 | 2020-01-28T05:34:09.000Z | 2020-01-28T05:34:09.000Z | # Copyright (c) 2016 Ansible, Inc.
# All Rights Reserved.
from collections import OrderedDict
# Django
from django.core.exceptions import PermissionDenied
from django.db.models.fields import PositiveIntegerField, BooleanField
from django.db.models.fields.related import ForeignKey
from django.http import Http404
from ... | 43.630719 | 131 | 0.601004 | 1,430 | 13,351 | 5.429371 | 0.202797 | 0.035935 | 0.028851 | 0.016486 | 0.159196 | 0.129057 | 0.101752 | 0.083462 | 0.083462 | 0.083462 | 0 | 0.001503 | 0.302374 | 13,351 | 305 | 132 | 43.77377 | 0.832081 | 0.115122 | 0 | 0.1875 | 0 | 0 | 0.134669 | 0.011293 | 0 | 0 | 0 | 0.003279 | 0 | 1 | 0.026786 | false | 0.013393 | 0.075893 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9d7834f2dd39b0c5b6da30b8ebfe19e7026adeb | 1,985 | py | Python | plugins/python/tasks.py | BBVA/deeptracy | 40f4b6bba2bdd345e95e42d474c05fa90f15c3e9 | [
"Apache-1.1"
] | 85 | 2017-09-22T10:48:51.000Z | 2021-06-11T18:33:28.000Z | plugins/python/tasks.py | BBVA/deeptracy | 40f4b6bba2bdd345e95e42d474c05fa90f15c3e9 | [
"Apache-1.1"
] | 51 | 2017-10-17T10:16:16.000Z | 2020-08-29T23:10:21.000Z | plugins/python/tasks.py | BBVA/deeptracy | 40f4b6bba2bdd345e95e42d474c05fa90f15c3e9 | [
"Apache-1.1"
] | 14 | 2017-11-20T10:20:16.000Z | 2021-02-02T21:35:07.000Z | import json
from washer.worker.actions import AppendStdout, AppendStderr
from washer.worker.actions import CreateNamedLog, AppendToLog
from washer.worker.actions import SetProperty
from washer.worker.commands import washertask
def pipenv_graph2deps(rawgraph):
graph = json.loads(rawgraph)
def build_entry(dat... | 28.357143 | 75 | 0.614106 | 212 | 1,985 | 5.679245 | 0.306604 | 0.033223 | 0.053156 | 0.057309 | 0.446013 | 0.373754 | 0.373754 | 0.373754 | 0.373754 | 0.373754 | 0 | 0.002086 | 0.275567 | 1,985 | 69 | 76 | 28.768116 | 0.835188 | 0 | 0 | 0.423077 | 0 | 0 | 0.125441 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096154 | false | 0 | 0.134615 | 0 | 0.288462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9d84b2b4c7d4cbbbf84bcb2ee37459c480a1a5e | 715 | py | Python | senity/utils/getSiteProfile.py | pkokkinos/senity | c6e41678620bef558cc3600929a8320ff2a285cf | [
"MIT"
] | 1 | 2017-10-26T12:30:04.000Z | 2017-10-26T12:30:04.000Z | senity/utils/getSiteProfile.py | pkokkinos/senity | c6e41678620bef558cc3600929a8320ff2a285cf | [
"MIT"
] | null | null | null | senity/utils/getSiteProfile.py | pkokkinos/senity | c6e41678620bef558cc3600929a8320ff2a285cf | [
"MIT"
] | null | null | null | import json
import os
# get site profile
def getSiteProfile(site_file):
with open(site_file) as json_file:
json_data = json.load(json_file)
return json_data
# get all site profile
def getAllSiteProfiles(site_folder):
allSiteProfiles = {}
allSiteFiles = os.listdir(site_folder)
for ... | 23.833333 | 77 | 0.664336 | 79 | 715 | 5.873418 | 0.443038 | 0.064655 | 0.060345 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.234965 | 715 | 29 | 78 | 24.655172 | 0.848263 | 0.135664 | 0 | 0 | 0 | 0 | 0.091354 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9d87f8b647f237794f75914da625ea130e200c3 | 5,959 | py | Python | ppo_new/baseline.py | QingXinHu123/Lane_change_RL | 06c70e6f58d3478669b56800028e320ca03f5222 | [
"MIT"
] | 1 | 2022-03-17T03:40:57.000Z | 2022-03-17T03:40:57.000Z | ppo_new/baseline.py | QingXinHu123/Lane_change_RL | 06c70e6f58d3478669b56800028e320ca03f5222 | [
"MIT"
] | null | null | null | ppo_new/baseline.py | QingXinHu123/Lane_change_RL | 06c70e6f58d3478669b56800028e320ca03f5222 | [
"MIT"
] | null | null | null | import os, sys
from env.LaneChangeEnv import LaneChangeEnv
import random
import numpy as np
if 'SUMO_HOME' in os.environ:
tools = os.path.join(os.environ['SUMO_HOME'], 'tools')
sys.path.append(tools)
print('success')
else:
sys.exit("please declare environment variable 'SUMO_HOME'")
import traci
def ep... | 36.558282 | 164 | 0.659171 | 964 | 5,959 | 3.770747 | 0.192946 | 0.071527 | 0.042916 | 0.030812 | 0.196699 | 0.150757 | 0.088033 | 0.08033 | 0.047868 | 0.047868 | 0 | 0.078652 | 0.208424 | 5,959 | 162 | 165 | 36.783951 | 0.691965 | 0.135593 | 0 | 0.030534 | 0 | 0 | 0.117911 | 0.008575 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022901 | false | 0 | 0.038168 | 0 | 0.083969 | 0.083969 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9d8a3bc2867b57ba7db6ffd06a68bdf7372909c | 1,261 | py | Python | clean_data.py | toogy/pendigits-hmm | 03382e1457941714439d40b67e53eaf117fe4d08 | [
"MIT"
] | null | null | null | clean_data.py | toogy/pendigits-hmm | 03382e1457941714439d40b67e53eaf117fe4d08 | [
"MIT"
] | null | null | null | clean_data.py | toogy/pendigits-hmm | 03382e1457941714439d40b67e53eaf117fe4d08 | [
"MIT"
] | null | null | null | import numpy as np
import pickle
from collections import defaultdict
from parsing import parser
from analysis import training
def main():
parse = parser.Parser();
train_digits = parse.parse_file('data/pendigits-train');
test_digits = parse.parse_file('data/pendigits-test')
centroids = training.get_d... | 24.25 | 72 | 0.704996 | 162 | 1,261 | 5.185185 | 0.314815 | 0.092857 | 0.085714 | 0.039286 | 0.286905 | 0.163095 | 0 | 0 | 0 | 0 | 0 | 0.009901 | 0.199048 | 1,261 | 51 | 73 | 24.72549 | 0.821782 | 0 | 0 | 0.0625 | 0 | 0 | 0.080888 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.15625 | 0 | 0.1875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9db09c1d1c26d802117168878ef76954cf77560 | 3,360 | py | Python | matrixprofile/algorithms/snippets.py | KSaiRahul21/matrixprofile | d8250e30d90ed0453bb7c35bb34ab0c04ae7b334 | [
"Apache-2.0"
] | null | null | null | matrixprofile/algorithms/snippets.py | KSaiRahul21/matrixprofile | d8250e30d90ed0453bb7c35bb34ab0c04ae7b334 | [
"Apache-2.0"
] | null | null | null | matrixprofile/algorithms/snippets.py | KSaiRahul21/matrixprofile | d8250e30d90ed0453bb7c35bb34ab0c04ae7b334 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
range = getattr(__builtins__, 'xrange', range)
# end of py2 compatability boilerplate
import numpy as np
from matrixprofil... | 29.734513 | 84 | 0.633036 | 428 | 3,360 | 4.799065 | 0.32243 | 0.091042 | 0.031159 | 0.025316 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004512 | 0.274405 | 3,360 | 112 | 85 | 30 | 0.837982 | 0.275595 | 0 | 0 | 0 | 0 | 0.078608 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017857 | false | 0 | 0.125 | 0 | 0.160714 | 0.017857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9db24edad8766b6e734d6a8a9c26aff6bb04235 | 2,360 | py | Python | jina/logging/formatter.py | yk/jina | ab66e233e74b956390f266881ff5dc4e0110d3ff | [
"Apache-2.0"
] | 1 | 2020-12-23T12:34:00.000Z | 2020-12-23T12:34:00.000Z | jina/logging/formatter.py | yk/jina | ab66e233e74b956390f266881ff5dc4e0110d3ff | [
"Apache-2.0"
] | null | null | null | jina/logging/formatter.py | yk/jina | ab66e233e74b956390f266881ff5dc4e0110d3ff | [
"Apache-2.0"
] | null | null | null | import json
import re
from copy import copy
from logging import Formatter
from .profile import used_memory
from ..helper import colored
class ColorFormatter(Formatter):
"""Format the log into colored logs based on the log-level. """
MAPPING = {
'DEBUG': dict(color='white', on_color=None), # white
... | 34.705882 | 114 | 0.601695 | 319 | 2,360 | 4.410658 | 0.363636 | 0.03909 | 0.031272 | 0.054016 | 0.297797 | 0.248756 | 0.170576 | 0.102345 | 0.102345 | 0.06823 | 0 | 0.008475 | 0.25 | 2,360 | 67 | 115 | 35.223881 | 0.786441 | 0.205085 | 0 | 0.222222 | 0 | 0 | 0.133297 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088889 | false | 0 | 0.133333 | 0 | 0.466667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9dcf24da986778ebcd29602d923908626cfea3c | 4,263 | py | Python | mtl/util/pipeline.py | vandurme/TFMTL | 5958187900bdf67089a237c523b6caa899f63ac1 | [
"Apache-2.0"
] | 10 | 2019-05-18T22:23:44.000Z | 2022-01-25T15:24:45.000Z | mtl/util/pipeline.py | vandurme/TFMTL | 5958187900bdf67089a237c523b6caa899f63ac1 | [
"Apache-2.0"
] | 1 | 2020-01-07T15:24:16.000Z | 2020-01-15T00:39:01.000Z | mtl/util/pipeline.py | vandurme/TFMTL | 5958187900bdf67089a237c523b6caa899f63ac1 | [
"Apache-2.0"
] | 1 | 2021-12-02T02:24:06.000Z | 2021-12-02T02:24:06.000Z | # Copyright 2018 Johns Hopkins University. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 34.658537 | 80 | 0.649073 | 546 | 4,263 | 4.847985 | 0.357143 | 0.023801 | 0.039668 | 0.03589 | 0.088402 | 0.073291 | 0.073291 | 0.073291 | 0.073291 | 0.044579 | 0 | 0.014111 | 0.251935 | 4,263 | 122 | 81 | 34.942623 | 0.81593 | 0.254985 | 0 | 0.097222 | 0 | 0 | 0.00892 | 0 | 0 | 0 | 0 | 0 | 0.013889 | 1 | 0.111111 | false | 0 | 0.097222 | 0.041667 | 0.319444 | 0.013889 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9de795b7b1298f8cad5f30e914735224920a0f9 | 1,158 | py | Python | core/views.py | moiyad/image | d4515ef3057794f38268a6887bfff157115f26f7 | [
"MIT"
] | null | null | null | core/views.py | moiyad/image | d4515ef3057794f38268a6887bfff157115f26f7 | [
"MIT"
] | null | null | null | core/views.py | moiyad/image | d4515ef3057794f38268a6887bfff157115f26f7 | [
"MIT"
] | null | null | null | from django.core.files.storage import FileSystemStorage
from django.shortcuts import render, redirect
from core.forms import DocumentForm
from core.models import Document
from media import image_cv2
def home(request):
documents = Document.objects.all()
number = len(image_cv2.myList)
return render(request... | 30.473684 | 88 | 0.668394 | 137 | 1,158 | 5.532847 | 0.343066 | 0.063325 | 0.100264 | 0.121372 | 0.187335 | 0.187335 | 0.102902 | 0 | 0 | 0 | 0 | 0.002208 | 0.217617 | 1,158 | 37 | 89 | 31.297297 | 0.834437 | 0 | 0 | 0.066667 | 0 | 0 | 0.126943 | 0.06304 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.166667 | 0 | 0.433333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9dfea4e7beba7ec415b85a76c49ed3af214dec4 | 25,442 | py | Python | ml4chem/atomistic/models/neuralnetwork.py | muammar/mlchem | 365487c23ea3386657e178e56ab31adfe8d5d073 | [
"BSD-3-Clause-LBNL"
] | 77 | 2019-08-05T17:30:22.000Z | 2022-03-28T14:31:35.000Z | ml4chem/atomistic/models/neuralnetwork.py | muammar/ml4chem | 365487c23ea3386657e178e56ab31adfe8d5d073 | [
"BSD-3-Clause-LBNL"
] | 6 | 2019-07-31T18:59:38.000Z | 2020-10-18T18:15:07.000Z | ml4chem/atomistic/models/neuralnetwork.py | muammar/mlchem | 365487c23ea3386657e178e56ab31adfe8d5d073 | [
"BSD-3-Clause-LBNL"
] | 15 | 2020-02-28T10:11:21.000Z | 2021-12-01T13:45:33.000Z | import dask
import datetime
import logging
import time
import torch
import numpy as np
import pandas as pd
from collections import OrderedDict
from ml4chem.metrics import compute_rmse
from ml4chem.atomistic.models.base import DeepLearningModel, DeepLearningTrainer
from ml4chem.atomistic.models.loss import AtomicMSELos... | 33.742706 | 88 | 0.526924 | 2,573 | 25,442 | 5.094054 | 0.175282 | 0.025177 | 0.025788 | 0.00763 | 0.271229 | 0.247044 | 0.232319 | 0.202487 | 0.173877 | 0.155413 | 0 | 0.008501 | 0.375835 | 25,442 | 753 | 89 | 33.787517 | 0.816814 | 0.228166 | 0 | 0.201814 | 0 | 0.004535 | 0.071482 | 0.00118 | 0 | 0 | 0 | 0.001328 | 0 | 1 | 0.020408 | false | 0 | 0.031746 | 0 | 0.070295 | 0.006803 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9e018d6290ebe7b0654b7e76a8df225914e3778 | 7,104 | py | Python | hatsploit/core/db/db.py | EntySec/HatSploit | 8e445804c252cc24e87888be2c2efc02750ce5ee | [
"MIT"
] | 139 | 2021-02-17T15:52:30.000Z | 2022-03-30T14:50:42.000Z | hatsploit/core/db/db.py | YurinDoctrine/HatSploit | b1550323e08336ec057cbafb77003c22a3bbee91 | [
"MIT"
] | 27 | 2021-03-24T17:14:30.000Z | 2022-03-02T18:50:43.000Z | hatsploit/core/db/db.py | YurinDoctrine/HatSploit | b1550323e08336ec057cbafb77003c22a3bbee91 | [
"MIT"
] | 85 | 2021-02-17T15:39:03.000Z | 2022-03-07T09:08:58.000Z | #!/usr/bin/env python3
#
# MIT License
#
# Copyright (c) 2020-2022 EntySec
#
# 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... | 38.193548 | 86 | 0.639077 | 817 | 7,104 | 5.350061 | 0.190942 | 0.101579 | 0.131778 | 0.078243 | 0.642187 | 0.599176 | 0.553649 | 0.486388 | 0.461679 | 0.427362 | 0 | 0.001734 | 0.269285 | 7,104 | 185 | 87 | 38.4 | 0.840301 | 0.152872 | 0 | 0.518519 | 0 | 0 | 0.235569 | 0.105439 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044444 | false | 0 | 0.037037 | 0 | 0.244444 | 0.133333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9e09def642ce98a753ac3053c44b1ba7d862f16 | 4,850 | py | Python | shutTheBox/main.py | robi1467/shut-the-box | ed1a8f13bc74caa63361453e723768a9cbe1dac4 | [
"MIT"
] | null | null | null | shutTheBox/main.py | robi1467/shut-the-box | ed1a8f13bc74caa63361453e723768a9cbe1dac4 | [
"MIT"
] | null | null | null | shutTheBox/main.py | robi1467/shut-the-box | ed1a8f13bc74caa63361453e723768a9cbe1dac4 | [
"MIT"
] | null | null | null | import random
numbers_list = [1,2,3,4,5,6,7,8,9,10]
game_won = False
game_completed = False
#Stats
games_played = 0
games_won = 0
games_lost = 0
average_score = 0
total_score = 0
def welcome():
welcome_message = "Welcome to shut the box"
print(welcome_message)
i = 0
result = ""
while i < len(number... | 28.034682 | 127 | 0.549897 | 619 | 4,850 | 4.113086 | 0.177706 | 0.129615 | 0.042419 | 0.029458 | 0.261587 | 0.225452 | 0.216811 | 0.118617 | 0.118617 | 0.118617 | 0 | 0.023672 | 0.355464 | 4,850 | 172 | 128 | 28.197674 | 0.790787 | 0.001031 | 0 | 0.341935 | 0 | 0 | 0.117052 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064516 | false | 0 | 0.006452 | 0 | 0.154839 | 0.090323 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9e379a95e3f4e855adb56ee1112dc1aa95e6a78 | 9,351 | py | Python | main.py | mithi/semantic-segmentation | 85e9df04397745e0c6ab252e30991fa9b514ec1a | [
"MIT"
] | 33 | 2017-08-24T16:38:15.000Z | 2022-03-17T15:55:52.000Z | main.py | mithi/semantic-segmentation | 85e9df04397745e0c6ab252e30991fa9b514ec1a | [
"MIT"
] | 3 | 2018-10-12T11:17:22.000Z | 2019-05-30T09:49:11.000Z | main.py | mithi/semantic-segmentation | 85e9df04397745e0c6ab252e30991fa9b514ec1a | [
"MIT"
] | 26 | 2017-09-17T09:09:52.000Z | 2020-01-14T02:48:56.000Z | import tensorflow as tf
import os.path
import warnings
from distutils.version import LooseVersion
import glob
import helper
import project_tests as tests
#--------------------------
# USER-SPECIFIED DATA
#--------------------------
# Tune these parameters
NUMBER_OF_CLASSES = 2
IMAGE_SHAPE = (160, 576)
EPOCHS = 20
... | 37.8583 | 146 | 0.69276 | 1,265 | 9,351 | 4.904348 | 0.223715 | 0.027079 | 0.028369 | 0.018375 | 0.220986 | 0.157318 | 0.120406 | 0.106705 | 0.066731 | 0.042553 | 0 | 0.017317 | 0.197198 | 9,351 | 246 | 147 | 38.012195 | 0.809112 | 0.378141 | 0 | 0.055046 | 0 | 0 | 0.093315 | 0.010584 | 0 | 0 | 0 | 0 | 0.009174 | 1 | 0.073395 | false | 0 | 0.06422 | 0 | 0.183486 | 0.06422 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9e38ca4d963e2aa4de106573e34682092b6337e | 22,356 | py | Python | tests/scanner/audit/log_sink_rules_engine_test.py | BrunoReboul/forseti-security | 9d4a61b3e5a5d22a4330d15ddf61063fc9079071 | [
"Apache-2.0"
] | null | null | null | tests/scanner/audit/log_sink_rules_engine_test.py | BrunoReboul/forseti-security | 9d4a61b3e5a5d22a4330d15ddf61063fc9079071 | [
"Apache-2.0"
] | null | null | null | tests/scanner/audit/log_sink_rules_engine_test.py | BrunoReboul/forseti-security | 9d4a61b3e5a5d22a4330d15ddf61063fc9079071 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The Forseti Security Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | 40.79562 | 84 | 0.560834 | 2,214 | 22,356 | 5.358627 | 0.115176 | 0.026888 | 0.028321 | 0.023264 | 0.711986 | 0.662087 | 0.633513 | 0.584289 | 0.544842 | 0.498483 | 0 | 0.019762 | 0.334541 | 22,356 | 547 | 85 | 40.870201 | 0.777711 | 0.097916 | 0 | 0.579646 | 0 | 0 | 0.242757 | 0.142273 | 0 | 0 | 0 | 0 | 0.033186 | 1 | 0.030973 | false | 0 | 0.024336 | 0 | 0.059735 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9e3fca3aec04c54b087304757154615d5a67e58 | 2,852 | py | Python | backend/api/ulca-ums-service/user-management/utilities/orgUtils.py | agupta54/ulca | c1f570ac254ce2ac73f40c49716458f4f7cbaee2 | [
"MIT"
] | 3 | 2022-01-12T06:51:51.000Z | 2022-02-23T18:54:33.000Z | backend/api/ulca-ums-service/user-management/utilities/orgUtils.py | agupta54/ulca | c1f570ac254ce2ac73f40c49716458f4f7cbaee2 | [
"MIT"
] | 6 | 2021-08-31T19:21:26.000Z | 2022-01-03T05:53:42.000Z | backend/api/ulca-ums-service/user-management/utilities/orgUtils.py | agupta54/ulca | c1f570ac254ce2ac73f40c49716458f4f7cbaee2 | [
"MIT"
] | 8 | 2021-08-12T08:07:49.000Z | 2022-01-25T04:40:51.000Z | import uuid
from config import USR_ORG_MONGO_COLLECTION, USR_MONGO_COLLECTION
import db
from models.response import post_error
import logging
log = logging.getLogger('file')
class OrgUtils:
def __init__(self):
pass
#orgId generation
@staticmethod
def generate_org_id():
"""UUID gener... | 41.333333 | 149 | 0.619565 | 341 | 2,852 | 5.082111 | 0.337243 | 0.04674 | 0.069244 | 0.038084 | 0.355453 | 0.248125 | 0.248125 | 0.248125 | 0.248125 | 0.248125 | 0 | 0.003916 | 0.283661 | 2,852 | 69 | 150 | 41.333333 | 0.844347 | 0.135694 | 0 | 0.244444 | 0 | 0 | 0.271559 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088889 | false | 0.022222 | 0.111111 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9e478ed385905aa26b48748e1fbf896e8ced766 | 4,299 | py | Python | setup.py | AntonBiryukovUofC/diffvg | e081098f52b82bfd0b7e91114d289d65ef969a60 | [
"Apache-2.0"
] | null | null | null | setup.py | AntonBiryukovUofC/diffvg | e081098f52b82bfd0b7e91114d289d65ef969a60 | [
"Apache-2.0"
] | null | null | null | setup.py | AntonBiryukovUofC/diffvg | e081098f52b82bfd0b7e91114d289d65ef969a60 | [
"Apache-2.0"
] | null | null | null | # Adapted from https://github.com/pybind/cmake_example/blob/master/setup.py
import os
import re
import sys
import platform
import subprocess
import importlib
from sysconfig import get_paths
import importlib
from setuptools import setup, Extension
from setuptools.command.build_ext import build_ext
from setuptools.comma... | 38.044248 | 109 | 0.601303 | 508 | 4,299 | 4.879921 | 0.322835 | 0.039935 | 0.057685 | 0.017749 | 0.160145 | 0.124647 | 0.049213 | 0.028237 | 0.028237 | 0.028237 | 0 | 0.007939 | 0.267504 | 4,299 | 112 | 110 | 38.383929 | 0.779295 | 0.028844 | 0 | 0.075269 | 0 | 0 | 0.172339 | 0.048418 | 0.021505 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.182796 | 0 | 0.236559 | 0.010753 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9e64ab7c515862e0dec6a8272d8a276b9bd86b9 | 14,587 | py | Python | robotpy_ext/common_drivers/navx/registerio.py | twinters007/robotpy-wpilib-utilities | d2e18c16fc97a469e0621521e0fbed0093610d6e | [
"MIT",
"BSD-3-Clause"
] | 2 | 2017-01-16T03:10:57.000Z | 2017-01-16T03:11:00.000Z | robotpy_ext/common_drivers/navx/registerio.py | twinters007/robotpy-wpilib-utilities | d2e18c16fc97a469e0621521e0fbed0093610d6e | [
"MIT",
"BSD-3-Clause"
] | null | null | null | robotpy_ext/common_drivers/navx/registerio.py | twinters007/robotpy-wpilib-utilities | d2e18c16fc97a469e0621521e0fbed0093610d6e | [
"MIT",
"BSD-3-Clause"
] | null | null | null | # validated: 2017-02-19 DS c5e3a8a9b642 roborio/java/navx_frc/src/com/kauailabs/navx/frc/RegisterIO.java
#----------------------------------------------------------------------------
# Copyright (c) Kauai Labs 2015. All Rights Reserved.
#
# Created in support of Team 2465 (Kauaibots). Go Purple Wave!
#
# Open Source S... | 54.632959 | 159 | 0.676973 | 1,642 | 14,587 | 5.598051 | 0.168088 | 0.109661 | 0.130222 | 0.112272 | 0.590078 | 0.510335 | 0.413621 | 0.311684 | 0.113903 | 0.06832 | 0 | 0.014578 | 0.252279 | 14,587 | 266 | 160 | 54.838346 | 0.828184 | 0.085487 | 0 | 0.11399 | 0 | 0 | 0.019657 | 0 | 0 | 0 | 0.000302 | 0 | 0 | 1 | 0.062176 | false | 0.005181 | 0.015544 | 0.010363 | 0.19171 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9e6a0bf2a4d3e860c6eb607624b101a086157b4 | 12,517 | py | Python | RigolWFM/channel.py | wvdv2002/RigolWFM | 849a1130c9194f052eaf5582dfa67e7a5708a3a3 | [
"BSD-3-Clause"
] | null | null | null | RigolWFM/channel.py | wvdv2002/RigolWFM | 849a1130c9194f052eaf5582dfa67e7a5708a3a3 | [
"BSD-3-Clause"
] | null | null | null | RigolWFM/channel.py | wvdv2002/RigolWFM | 849a1130c9194f052eaf5582dfa67e7a5708a3a3 | [
"BSD-3-Clause"
] | null | null | null | #pylint: disable=invalid-name
#pylint: disable=too-many-instance-attributes
#pylint: disable=too-many-return-statements
#pylint: disable=too-many-statements
"""
Class structure and methods for an oscilloscope channel.
The idea is to collect all the relevant information from all the Rigol
scope waveforms into a single ... | 36.176301 | 96 | 0.589199 | 1,687 | 12,517 | 4.227623 | 0.140486 | 0.100252 | 0.037297 | 0.043186 | 0.509675 | 0.43396 | 0.406057 | 0.37521 | 0.360348 | 0.331183 | 0 | 0.046496 | 0.298953 | 12,517 | 345 | 97 | 36.281159 | 0.766268 | 0.149157 | 0 | 0.373913 | 0 | 0 | 0.053795 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056522 | false | 0 | 0.008696 | 0 | 0.143478 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9e6a9be08cb7ae14c68608c944b95cbe6233b10 | 1,477 | py | Python | configs/raubtierv2a/faster_rcnn_x101_64x4d_fpn_1x_raubtierv2a_nofreeze_4gpu.py | esf-bt2020/mmdetection | abc5fe060e0fcb716f845c85441be3741b22d3cf | [
"Apache-2.0"
] | null | null | null | configs/raubtierv2a/faster_rcnn_x101_64x4d_fpn_1x_raubtierv2a_nofreeze_4gpu.py | esf-bt2020/mmdetection | abc5fe060e0fcb716f845c85441be3741b22d3cf | [
"Apache-2.0"
] | null | null | null | configs/raubtierv2a/faster_rcnn_x101_64x4d_fpn_1x_raubtierv2a_nofreeze_4gpu.py | esf-bt2020/mmdetection | abc5fe060e0fcb716f845c85441be3741b22d3cf | [
"Apache-2.0"
] | null | null | null | _base_ = '../faster_rcnn/faster_rcnn_x101_64x4d_fpn_1x_coco.py'
model = dict(
backbone=dict(
num_stages=4,
#frozen_stages=4
),
roi_head=dict(
bbox_head=dict(
num_classes=3
)
)
)
dataset_type = 'COCODataset'
classes = ('luchs', 'rotfuchs', 'wolf')
data = dict... | 26.375 | 151 | 0.704807 | 203 | 1,477 | 4.832512 | 0.44335 | 0.071356 | 0.071356 | 0.09684 | 0.445464 | 0.347604 | 0.252803 | 0.173293 | 0.173293 | 0.095821 | 0 | 0.1 | 0.16046 | 1,477 | 55 | 152 | 26.854545 | 0.691129 | 0.237644 | 0 | 0.096774 | 0 | 0 | 0.399464 | 0.320822 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9ea32c16e86b4071267eb26a711d79f81eaea56 | 2,925 | py | Python | xos/hpc_observer/steps/sync_originserver.py | wathsalav/xos | f6bcaa37a948ee41729236afe7fce0802e002404 | [
"Apache-2.0"
] | null | null | null | xos/hpc_observer/steps/sync_originserver.py | wathsalav/xos | f6bcaa37a948ee41729236afe7fce0802e002404 | [
"Apache-2.0"
] | null | null | null | xos/hpc_observer/steps/sync_originserver.py | wathsalav/xos | f6bcaa37a948ee41729236afe7fce0802e002404 | [
"Apache-2.0"
] | null | null | null | import os
import sys
import base64
from django.db.models import F, Q
from xos.config import Config
from observer.syncstep import SyncStep
from core.models import Service
from hpc.models import ServiceProvider, ContentProvider, CDNPrefix, OriginServer
from util.logger import Logger, logging
# hpclibrary will be in ste... | 34.411765 | 229 | 0.654701 | 380 | 2,925 | 4.873684 | 0.381579 | 0.090713 | 0.090713 | 0.073434 | 0.104752 | 0.024838 | 0 | 0 | 0 | 0 | 0 | 0.002275 | 0.248547 | 2,925 | 84 | 230 | 34.821429 | 0.840309 | 0.144274 | 0 | 0.038462 | 0 | 0 | 0.103171 | 0.00843 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096154 | false | 0 | 0.192308 | 0.019231 | 0.403846 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9ea437d66df34d28efcf808ad16c896dadcac76 | 400 | py | Python | main.py | aroxby/pixel-processor | 9cfe260a085ced0883ce8b0a35c28020f4aa8737 | [
"MIT"
] | null | null | null | main.py | aroxby/pixel-processor | 9cfe260a085ced0883ce8b0a35c28020f4aa8737 | [
"MIT"
] | null | null | null | main.py | aroxby/pixel-processor | 9cfe260a085ced0883ce8b0a35c28020f4aa8737 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from PIL import Image
def tranform(r, g, b):
tmp = b
b = g // 2
g = tmp
r = r // 2
return r, g, b
def main():
im = Image.open('blue-flames.jpg')
input_pixels = im.getdata()
output_pixels = tuple(tranform(*pixel) for pixel in input_pixels)
im.putdata(output_... | 17.391304 | 69 | 0.6 | 62 | 400 | 3.677419 | 0.580645 | 0.105263 | 0.026316 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010067 | 0.255 | 400 | 22 | 70 | 18.181818 | 0.755034 | 0.0525 | 0 | 0 | 0 | 0 | 0.103175 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.066667 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9eab80495274dd2446a7b029f17be91df29a452 | 1,539 | py | Python | scipy/weave/examples/swig2_example.py | lesserwhirls/scipy-cwt | ee673656d879d9356892621e23ed0ced3d358621 | [
"BSD-3-Clause"
] | 8 | 2015-10-07T00:37:32.000Z | 2022-01-21T17:02:33.000Z | scipy/weave/examples/swig2_example.py | lesserwhirls/scipy-cwt | ee673656d879d9356892621e23ed0ced3d358621 | [
"BSD-3-Clause"
] | null | null | null | scipy/weave/examples/swig2_example.py | lesserwhirls/scipy-cwt | ee673656d879d9356892621e23ed0ced3d358621 | [
"BSD-3-Clause"
] | 8 | 2015-05-09T14:23:57.000Z | 2018-11-15T05:56:00.000Z | """Simple example to show how to use weave.inline on SWIG2 wrapped
objects. SWIG2 refers to SWIG versions >= 1.3.
To run this example you must build the trivial SWIG2 extension called
swig2_ext. To do this you need to do something like this::
$ swig -c++ -python -I. -o swig2_ext_wrap.cxx swig2_ext.i
$ g++ -Wall ... | 28.5 | 69 | 0.690058 | 246 | 1,539 | 4.186992 | 0.520325 | 0.100971 | 0.046602 | 0.025243 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030204 | 0.204029 | 1,539 | 53 | 70 | 29.037736 | 0.810612 | 0.684211 | 0 | 0 | 0 | 0 | 0.149451 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.2 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9eba9b75a6e45fee4cdfe3d81874f5e8476b939 | 1,951 | py | Python | src/simplify.py | denghz/Probabilistic-Programming | fa505a75c4558e507fd3effd2737c63537bfe50d | [
"BSD-3-Clause"
] | null | null | null | src/simplify.py | denghz/Probabilistic-Programming | fa505a75c4558e507fd3effd2737c63537bfe50d | [
"BSD-3-Clause"
] | null | null | null | src/simplify.py | denghz/Probabilistic-Programming | fa505a75c4558e507fd3effd2737c63537bfe50d | [
"BSD-3-Clause"
] | null | null | null | from wolframclient.language.expression import WLSymbol
from nnDiff import *
def parseGlobalSymbol(s):
if isinstance(s, numbers.Number):
return s
if isinstance(s, WLSymbol):
if s.name == 'E':
return 'E'
else:
return s.name[7:]
def parse(exp):
symbol =... | 27.097222 | 67 | 0.438237 | 212 | 1,951 | 3.990566 | 0.334906 | 0.023641 | 0.030733 | 0.033097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020814 | 0.433624 | 1,951 | 72 | 68 | 27.097222 | 0.744796 | 0 | 0 | 0.096774 | 0 | 0 | 0.038422 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048387 | false | 0 | 0.032258 | 0 | 0.241935 | 0.032258 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9eda494aa9f90de7b3474adbd78e46927f9990c | 406 | py | Python | src/cart/forms.py | cbsBiram/xarala__ssr | 863e1362c786daa752b942b796f7a015211d2f1b | [
"FSFAP"
] | null | null | null | src/cart/forms.py | cbsBiram/xarala__ssr | 863e1362c786daa752b942b796f7a015211d2f1b | [
"FSFAP"
] | null | null | null | src/cart/forms.py | cbsBiram/xarala__ssr | 863e1362c786daa752b942b796f7a015211d2f1b | [
"FSFAP"
] | null | null | null | from django import forms
from django.utils.translation import gettext_lazy as _
COURSE_QUANTITY_CHOICES = [(i, str(i)) for i in range(1, 21)]
class CartAddCourseForm(forms.Form):
quantity = forms.TypedChoiceField(
choices=COURSE_QUANTITY_CHOICES, coerce=int, label=_("Quantité")
)
override = form... | 27.066667 | 72 | 0.726601 | 49 | 406 | 5.877551 | 0.693878 | 0.069444 | 0.145833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008955 | 0.174877 | 406 | 14 | 73 | 29 | 0.850746 | 0 | 0 | 0 | 0 | 0 | 0.019704 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9edd7dbf25e820fdbc6faa76fd63ef5d9d3ec94 | 1,090 | py | Python | appengine/components/tests/datastore_utils_properties_test.py | pombreda/swarming | c70f311f3db8f25752c793a0d7b36cf537d95580 | [
"Apache-2.0"
] | null | null | null | appengine/components/tests/datastore_utils_properties_test.py | pombreda/swarming | c70f311f3db8f25752c793a0d7b36cf537d95580 | [
"Apache-2.0"
] | null | null | null | appengine/components/tests/datastore_utils_properties_test.py | pombreda/swarming | c70f311f3db8f25752c793a0d7b36cf537d95580 | [
"Apache-2.0"
] | 1 | 2021-12-06T03:37:36.000Z | 2021-12-06T03:37:36.000Z | #!/usr/bin/env python
# Copyright 2014 The Swarming Authors. All rights reserved.
# Use of this source code is governed by the Apache v2.0 license that can be
# found in the LICENSE file.
import sys
import unittest
import test_env
test_env.setup_test_env()
from google.appengine.ext import ndb
from components.datast... | 23.695652 | 76 | 0.713761 | 150 | 1,090 | 5.06 | 0.52 | 0.079051 | 0.031621 | 0.057971 | 0.052701 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017279 | 0.150459 | 1,090 | 45 | 77 | 24.222222 | 0.802376 | 0.165138 | 0 | 0 | 0 | 0 | 0.028698 | 0 | 0 | 0 | 0 | 0 | 0.192308 | 1 | 0.076923 | false | 0 | 0.230769 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9ef252652f99c5c9feffaab6f06bdbb7fe7dd89 | 953 | py | Python | covfefe/covfefe.py | fixator10/Trusty-cogs | 3d47a63f562cb64eb44da6bb53cfe9f8324026e7 | [
"MIT"
] | 148 | 2017-04-23T19:57:50.000Z | 2022-03-12T06:59:58.000Z | covfefe/covfefe.py | mina9999/Trusty-cogs | a47de7c233f3c1802effd29f4a86f8a9b0e2b34a | [
"MIT"
] | 155 | 2018-01-01T13:27:45.000Z | 2022-03-12T05:17:51.000Z | covfefe/covfefe.py | mina9999/Trusty-cogs | a47de7c233f3c1802effd29f4a86f8a9b0e2b34a | [
"MIT"
] | 221 | 2017-04-02T00:26:08.000Z | 2022-03-26T15:06:54.000Z | import re
import discord
from redbot.core import commands
class Covfefe(commands.Cog):
"""
Convert almost any word into covfefe
"""
def __init__(self, bot):
self.bot = bot
async def covfefe(self, x, k="aeiouy])"):
"""
https://codegolf.stackexchange.com/a/123697
"... | 24.435897 | 79 | 0.541448 | 115 | 953 | 4.417391 | 0.582609 | 0.047244 | 0.062992 | 0.07874 | 0.122047 | 0.122047 | 0 | 0 | 0 | 0 | 0 | 0.012365 | 0.321091 | 953 | 38 | 80 | 25.078947 | 0.772798 | 0.037775 | 0 | 0 | 0 | 0 | 0.107856 | 0.029294 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.142857 | 0 | 0.380952 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9ef4b5c2209cb05949e60eccf8cd9158602e350 | 4,784 | py | Python | exp_gqa/test.py | ronghanghu/gqa_single_hop_baseline | 332d342da60dfefd40f2364d60215ed2f191aa2d | [
"BSD-2-Clause"
] | 19 | 2019-08-19T18:09:26.000Z | 2021-08-29T15:58:30.000Z | exp_gqa/test.py | ronghanghu/gqa_single_hop_baseline | 332d342da60dfefd40f2364d60215ed2f191aa2d | [
"BSD-2-Clause"
] | 1 | 2019-11-24T14:36:29.000Z | 2019-12-11T08:33:12.000Z | exp_gqa/test.py | ronghanghu/gqa_single_hop_baseline | 332d342da60dfefd40f2364d60215ed2f191aa2d | [
"BSD-2-Clause"
] | 1 | 2019-10-30T05:55:52.000Z | 2019-10-30T05:55:52.000Z | import os
import numpy as np
import tensorflow as tf
from models_gqa.model import Model
from models_gqa.config import build_cfg_from_argparse
from util.gqa_train.data_reader import DataReader
import json
# Load config
cfg = build_cfg_from_argparse()
# Start session
os.environ["CUDA_VISIBLE_DEVICES"] = str(cfg.GPU_ID... | 40.201681 | 79 | 0.713002 | 736 | 4,784 | 4.328804 | 0.256793 | 0.043942 | 0.026365 | 0.032957 | 0.315443 | 0.284683 | 0.205273 | 0.161017 | 0.161017 | 0.134024 | 0 | 0.005542 | 0.170151 | 4,784 | 118 | 80 | 40.542373 | 0.796977 | 0.026756 | 0 | 0.082474 | 0 | 0.030928 | 0.125054 | 0.006457 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.010309 | 0.072165 | 0 | 0.072165 | 0.072165 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9efb93e53325ce5948d495ecf3a99ce26893591 | 2,071 | py | Python | extract_gear/armor_visitor.py | kamerons/dde-extract-gear | 44464ae470bd5de6279d32e3587b469ce006ea42 | [
"Apache-2.0"
] | null | null | null | extract_gear/armor_visitor.py | kamerons/dde-extract-gear | 44464ae470bd5de6279d32e3587b469ce006ea42 | [
"Apache-2.0"
] | null | null | null | extract_gear/armor_visitor.py | kamerons/dde-extract-gear | 44464ae470bd5de6279d32e3587b469ce006ea42 | [
"Apache-2.0"
] | null | null | null | class ArmorVisitor:
def __init__(self, num_pages, first_page_col_start, first_page_row_start,
last_page_row_start, last_page_col_end, last_page_row_end, num_col_page=5, num_row_page=3):
self.num_pages = num_pages
self.first_page_col_start = first_page_col_start
self.first_page_row_start = first_page_... | 32.873016 | 110 | 0.718493 | 360 | 2,071 | 3.680556 | 0.105556 | 0.089811 | 0.090566 | 0.084528 | 0.490566 | 0.436981 | 0.315472 | 0.230943 | 0.199245 | 0.05283 | 0 | 0.00965 | 0.199421 | 2,071 | 62 | 111 | 33.403226 | 0.789505 | 0 | 0 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12 | false | 0 | 0 | 0 | 0.22 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9f401385afbe018601c2bef20e53c9b587fb7df | 485 | py | Python | examples/test_scalar_field.py | gemini3d/pv-gemini | 99dff15b43a2c93cbcb63d2f8946d425d0555ef3 | [
"Apache-2.0"
] | null | null | null | examples/test_scalar_field.py | gemini3d/pv-gemini | 99dff15b43a2c93cbcb63d2f8946d425d0555ef3 | [
"Apache-2.0"
] | null | null | null | examples/test_scalar_field.py | gemini3d/pv-gemini | 99dff15b43a2c93cbcb63d2f8946d425d0555ef3 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
"""
example of 3D scalar field
If you get this error, ParaView doesn't know your data file format:
TypeError: TestFileReadability argument %Id: %V
"""
from pathlib import Path
import argparse
import paraview.simple as pvs
p = argparse.ArgumentParser()
p.add_argument("fn", help="data file to l... | 20.208333 | 75 | 0.740206 | 74 | 485 | 4.810811 | 0.702703 | 0.044944 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004819 | 0.14433 | 485 | 23 | 76 | 21.086957 | 0.853012 | 0.340206 | 0 | 0 | 0 | 0 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.3 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9f4182f4b0683cbf4f51c72cef042f5acb55553 | 341 | py | Python | src/cms/forms/languages/language_form.py | S10MC2015/cms-django | b08f2be60a9db6c8079ee923de2cd8912f550b12 | [
"Apache-2.0"
] | null | null | null | src/cms/forms/languages/language_form.py | S10MC2015/cms-django | b08f2be60a9db6c8079ee923de2cd8912f550b12 | [
"Apache-2.0"
] | null | null | null | src/cms/forms/languages/language_form.py | S10MC2015/cms-django | b08f2be60a9db6c8079ee923de2cd8912f550b12 | [
"Apache-2.0"
] | null | null | null | from django import forms
from ...models import Language
class LanguageForm(forms.ModelForm):
"""
Form for creating and modifying language objects
"""
class Meta:
model = Language
fields = [
"code",
"english_name",
"native_name",
"text_d... | 17.947368 | 52 | 0.548387 | 31 | 341 | 5.935484 | 0.774194 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.363636 | 341 | 18 | 53 | 18.944444 | 0.847926 | 0.140762 | 0 | 0 | 0 | 0 | 0.148014 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9f437d2e63f9838da4ffa0491804e95e149a773 | 1,482 | py | Python | search/forms.py | gregneagle/sal | 74c583fb1c1b33d3201b308b147376b3dcaca33f | [
"Apache-2.0"
] | 2 | 2019-11-01T20:50:35.000Z | 2021-01-13T22:02:55.000Z | search/forms.py | gregneagle/sal | 74c583fb1c1b33d3201b308b147376b3dcaca33f | [
"Apache-2.0"
] | null | null | null | search/forms.py | gregneagle/sal | 74c583fb1c1b33d3201b308b147376b3dcaca33f | [
"Apache-2.0"
] | null | null | null | from django import forms
from .models import *
from server.models import *
class ChoiceFieldNoValidation(forms.ChoiceField):
def validate(self, value):
pass
class SaveSearchForm(forms.ModelForm):
class Meta:
model = SavedSearch
fields = ('name',)
class SearchRowForm(forms.ModelForm):... | 27.962264 | 87 | 0.609312 | 155 | 1,482 | 5.574194 | 0.412903 | 0.08912 | 0.052083 | 0.078704 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001881 | 0.282726 | 1,482 | 52 | 88 | 28.5 | 0.810913 | 0 | 0 | 0.045455 | 0 | 0 | 0.106613 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0.022727 | 0.068182 | 0 | 0.318182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9f67833672023bef782862284907976acb9371f | 2,216 | py | Python | newsparser.py | antoreep-jana/BBC-News-Analyzer | 0a6e54ddf4baefa4532213c5e6f60e712ff3a1ca | [
"MIT"
] | 1 | 2021-12-27T12:57:07.000Z | 2021-12-27T12:57:07.000Z | newsparser.py | antoreep-jana/BBC-News-Analyzer | 0a6e54ddf4baefa4532213c5e6f60e712ff3a1ca | [
"MIT"
] | null | null | null | newsparser.py | antoreep-jana/BBC-News-Analyzer | 0a6e54ddf4baefa4532213c5e6f60e712ff3a1ca | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup as bs
import requests
class BBC:
def __init__(self, url:str):
article = requests.get(url)
self.soup = bs(article.content, "html.parser")
#print(dir(self.soup))
#print(self.soup.h1.text)
self.body = self.get_body()
self.link = url
... | 28.410256 | 98 | 0.564982 | 278 | 2,216 | 4.406475 | 0.291367 | 0.084898 | 0.078367 | 0.04898 | 0.223673 | 0.179592 | 0.151837 | 0.151837 | 0.151837 | 0.151837 | 0 | 0.022872 | 0.289711 | 2,216 | 77 | 99 | 28.779221 | 0.7554 | 0.229242 | 0 | 0.057143 | 0 | 0 | 0.170326 | 0.068843 | 0 | 0 | 0 | 0 | 0 | 1 | 0.171429 | false | 0.028571 | 0.057143 | 0.028571 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9f73f41171ea9b93f4f79bc336c9fe6927dba89 | 2,044 | py | Python | SIR_model-Copy.Caroline.1.py | Caroline-Odevall/final-project-team-18 | fbf00ae4ec554dee9245a9834ff4108b3d339842 | [
"MIT"
] | null | null | null | SIR_model-Copy.Caroline.1.py | Caroline-Odevall/final-project-team-18 | fbf00ae4ec554dee9245a9834ff4108b3d339842 | [
"MIT"
] | null | null | null | SIR_model-Copy.Caroline.1.py | Caroline-Odevall/final-project-team-18 | fbf00ae4ec554dee9245a9834ff4108b3d339842 | [
"MIT"
] | null | null | null | # In[42]:
from scipy.integrate import odeint
import numpy as np
import matplotlib.pyplot as plt
# In[43]:
# describe the model
def deriv(y, t, N, beta, gamma, delta):
S, E, I, R = y
dSdt = -beta * S * I / N # S(t) – susceptible (de som är mottagliga för infektion).
dEdt = beta * S * I / N - gamma * ... | 24.333333 | 137 | 0.630137 | 364 | 2,044 | 3.516484 | 0.436813 | 0.007813 | 0.009375 | 0.0125 | 0.151563 | 0.151563 | 0.029688 | 0.029688 | 0 | 0 | 0 | 0.04473 | 0.201566 | 2,044 | 83 | 138 | 24.626506 | 0.737745 | 0.354207 | 0 | 0 | 0 | 0 | 0.064241 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.078947 | 0 | 0.157895 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9f8215f5040fa71b2646d52a053545a92c3fd12 | 1,681 | py | Python | app/middleware/cache_headers.py | Niclnx/service-stac | ad9129a7130d09b2bed387d8e82575eb86fdfa7b | [
"BSD-3-Clause"
] | 9 | 2020-08-17T11:01:48.000Z | 2022-01-17T22:24:13.000Z | app/middleware/cache_headers.py | Niclnx/service-stac | ad9129a7130d09b2bed387d8e82575eb86fdfa7b | [
"BSD-3-Clause"
] | 100 | 2020-08-14T05:56:40.000Z | 2022-03-01T22:39:58.000Z | app/middleware/cache_headers.py | Niclnx/service-stac | ad9129a7130d09b2bed387d8e82575eb86fdfa7b | [
"BSD-3-Clause"
] | 3 | 2020-09-02T14:01:07.000Z | 2021-07-27T06:30:26.000Z | import logging
import re
from urllib.parse import urlparse
from django.conf import settings
from django.utils.cache import add_never_cache_headers
from django.utils.cache import patch_cache_control
from django.utils.cache import patch_response_headers
logger = logging.getLogger(__name__)
STAC_BASE = settings.STAC_BA... | 32.960784 | 96 | 0.662701 | 207 | 1,681 | 5.188406 | 0.415459 | 0.037244 | 0.041899 | 0.055866 | 0.150838 | 0.126629 | 0.068901 | 0.068901 | 0 | 0 | 0 | 0 | 0.250446 | 1,681 | 50 | 97 | 33.62 | 0.852381 | 0.252826 | 0 | 0 | 0 | 0 | 0.06068 | 0.01699 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.233333 | 0 | 0.366667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9f87264f50f9243a592053fcbe97aca0b8c2377 | 2,818 | py | Python | mmdet/models/detectors/knowledge_distilling/kd_single_stage.py | anorthman/mmdetection | 52e28154364f0e19d11c206bb357d88f29fc4a2d | [
"Apache-2.0"
] | 5 | 2019-06-11T11:08:54.000Z | 2021-03-25T10:06:01.000Z | mmdet/models/detectors/knowledge_distilling/kd_single_stage.py | anorthman/mmdetection | 52e28154364f0e19d11c206bb357d88f29fc4a2d | [
"Apache-2.0"
] | null | null | null | mmdet/models/detectors/knowledge_distilling/kd_single_stage.py | anorthman/mmdetection | 52e28154364f0e19d11c206bb357d88f29fc4a2d | [
"Apache-2.0"
] | 1 | 2019-06-11T11:08:55.000Z | 2019-06-11T11:08:55.000Z | # author huangchuanhong
import torch
from mmcv.runner import load_checkpoint
from ..base import BaseDetector
from ..single_stage import SingleStageDetector
from ...registry import DETECTORS
from ...builder import build_detector
@DETECTORS.register_module
class KDSingleStageDetector(SingleStageDetector):
def __ini... | 42.059701 | 112 | 0.551455 | 297 | 2,818 | 4.895623 | 0.218855 | 0.066025 | 0.091472 | 0.078404 | 0.296424 | 0.251719 | 0.251719 | 0.213205 | 0.167813 | 0.112792 | 0 | 0.002279 | 0.377218 | 2,818 | 66 | 113 | 42.69697 | 0.826211 | 0.007452 | 0 | 0.16129 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.096774 | 0 | 0.16129 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9f8cb65181ebad752b9a810d28cc601137f1877 | 4,518 | py | Python | metaworld/envs/mujoco/sawyer_xyz/v2/sawyer_dial_turn_v2.py | yiwc/robotics-world | 48efda3a8ea6741b35828b02860f45753252e376 | [
"MIT"
] | 681 | 2019-09-09T19:34:37.000Z | 2022-03-31T12:17:58.000Z | metaworld/envs/mujoco/sawyer_xyz/v2/sawyer_dial_turn_v2.py | yiwc/robotics-world | 48efda3a8ea6741b35828b02860f45753252e376 | [
"MIT"
] | 212 | 2019-09-18T14:43:44.000Z | 2022-03-27T22:21:00.000Z | metaworld/envs/mujoco/sawyer_xyz/v2/sawyer_dial_turn_v2.py | yiwc/robotics-world | 48efda3a8ea6741b35828b02860f45753252e376 | [
"MIT"
] | 157 | 2019-09-12T05:06:05.000Z | 2022-03-29T14:47:24.000Z | import numpy as np
from gym.spaces import Box
from metaworld.envs import reward_utils
from metaworld.envs.asset_path_utils import full_v2_path_for
from metaworld.envs.mujoco.sawyer_xyz.sawyer_xyz_env import SawyerXYZEnv, _assert_task_is_set
class SawyerDialTurnEnvV2(SawyerXYZEnv):
TARGET_RADIUS = 0.07
def _... | 31.816901 | 93 | 0.599823 | 628 | 4,518 | 3.941083 | 0.221338 | 0.038384 | 0.053333 | 0.028283 | 0.225859 | 0.149091 | 0.098586 | 0.073535 | 0.073535 | 0.073535 | 0 | 0.036772 | 0.28973 | 4,518 | 141 | 94 | 32.042553 | 0.734497 | 0 | 0 | 0.088496 | 0 | 0 | 0.047587 | 0.005755 | 0 | 0 | 0 | 0 | 0.017699 | 1 | 0.061947 | false | 0 | 0.044248 | 0.017699 | 0.176991 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9fa7c6bd7a253ee2a588381042c5dfd3d99cb96 | 2,560 | py | Python | yezdi/parser/parser.py | ragsagar/yezdi | 5b97bedc56d5af7f28b244a0d7c0c8259f643102 | [
"MIT"
] | 1 | 2021-04-27T20:07:42.000Z | 2021-04-27T20:07:42.000Z | yezdi/parser/parser.py | ragsagar/yezdi | 5b97bedc56d5af7f28b244a0d7c0c8259f643102 | [
"MIT"
] | null | null | null | yezdi/parser/parser.py | ragsagar/yezdi | 5b97bedc56d5af7f28b244a0d7c0c8259f643102 | [
"MIT"
] | null | null | null | from yezdi.lexer.token import TokenType
from yezdi.parser.ast import Program, Statement, Participant, Title, LineStatement
class Parser:
def __init__(self, lexer):
self.lexer = lexer
self.current_token = None
self.peek_token = None
self.next_token()
self.next_token()
... | 32 | 86 | 0.640625 | 288 | 2,560 | 5.517361 | 0.184028 | 0.069226 | 0.100692 | 0.050346 | 0.229704 | 0.078037 | 0.060415 | 0.060415 | 0.060415 | 0 | 0 | 0 | 0.280469 | 2,560 | 79 | 87 | 32.405063 | 0.862649 | 0 | 0 | 0.227273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121212 | false | 0.015152 | 0.030303 | 0 | 0.409091 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9fae34b418d8854a4b364f1044c114896456110 | 1,050 | py | Python | scripts/check_categories.py | oberron/entolusis | 209e1e245d8e501e5e6ea2f52dd5b0da7d886f5c | [
"MIT"
] | null | null | null | scripts/check_categories.py | oberron/entolusis | 209e1e245d8e501e5e6ea2f52dd5b0da7d886f5c | [
"MIT"
] | null | null | null | scripts/check_categories.py | oberron/entolusis | 209e1e245d8e501e5e6ea2f52dd5b0da7d886f5c | [
"MIT"
] | null | null | null | # list categories in category folder
from os import walk
from os.path import abspath,join, pardir
categories_folder = abspath(join(__file__,pardir,pardir,"category"))
post_folder = abspath(join(__file__,pardir,pardir,"_posts"))
site_categories = []
for root,directories,files in walk(categories_folder):
for f in ... | 36.206897 | 68 | 0.578095 | 124 | 1,050 | 4.741935 | 0.387097 | 0.142857 | 0.057823 | 0.071429 | 0.316327 | 0.258503 | 0.146259 | 0.146259 | 0 | 0 | 0 | 0.00672 | 0.291429 | 1,050 | 29 | 69 | 36.206897 | 0.783602 | 0.032381 | 0 | 0.086957 | 0 | 0 | 0.04335 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.086957 | 0 | 0.086957 | 0.086957 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9fb43e9d0e20574f25b444b461b284752a17b4c | 5,311 | py | Python | docsrc/makedoc.py | syoyo/soloud | cce88a2408a4b1e88ccbc75de9897b39bc3e7dda | [
"Libpng",
"Zlib"
] | 1 | 2019-11-25T11:32:09.000Z | 2019-11-25T11:32:09.000Z | docsrc/makedoc.py | syoyo/soloud | cce88a2408a4b1e88ccbc75de9897b39bc3e7dda | [
"Libpng",
"Zlib"
] | null | null | null | docsrc/makedoc.py | syoyo/soloud | cce88a2408a4b1e88ccbc75de9897b39bc3e7dda | [
"Libpng",
"Zlib"
] | null | null | null | #!/usr/bin/env python3
""" builds documentation files from multimarkdown (mmd) source
to various formats, including the web site and pdf.
"""
import subprocess
import glob
import os
import sys
import time
import shutil
src = [
"intro.mmd",
"downloads.mmd",
"quickstart.mmd",
"faq.mmd",
"dirstr... | 34.940789 | 356 | 0.583129 | 662 | 5,311 | 4.63142 | 0.326284 | 0.042401 | 0.011416 | 0.011742 | 0.272016 | 0.234181 | 0.227658 | 0.14775 | 0.124592 | 0.081539 | 0 | 0.004619 | 0.184711 | 5,311 | 151 | 357 | 35.172185 | 0.703464 | 0.024854 | 0 | 0.140625 | 0 | 0 | 0.433327 | 0.090962 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.007813 | 0.046875 | 0 | 0.046875 | 0.085938 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b9ff46cab163507c14f9b26bf086ce4979f54a2c | 4,972 | py | Python | tools/unidatadownload.py | henryiii/backrefs | ec82844098bc3bdc7bcaa61b32f80271e6a73da6 | [
"MIT"
] | null | null | null | tools/unidatadownload.py | henryiii/backrefs | ec82844098bc3bdc7bcaa61b32f80271e6a73da6 | [
"MIT"
] | null | null | null | tools/unidatadownload.py | henryiii/backrefs | ec82844098bc3bdc7bcaa61b32f80271e6a73da6 | [
"MIT"
] | null | null | null | """Download `Unicodedata` files."""
from __future__ import unicode_literals
import os
import zipfile
import codecs
from urllib.request import urlopen
__version__ = '2.2.0'
HOME = os.path.dirname(os.path.abspath(__file__))
def zip_unicode(output, version):
"""Zip the Unicode files."""
zipper = zipfile.ZipFi... | 32.927152 | 112 | 0.627715 | 560 | 4,972 | 5.467857 | 0.310714 | 0.035271 | 0.032658 | 0.041803 | 0.173416 | 0.167864 | 0.126061 | 0.088178 | 0.033965 | 0.033965 | 0 | 0.002934 | 0.245977 | 4,972 | 150 | 113 | 33.146667 | 0.813817 | 0.056718 | 0 | 0.111111 | 0 | 0 | 0.248981 | 0.11602 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.064815 | 0 | 0.101852 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a00c6e63b457a75c0424a247757123821cb24fb | 1,230 | py | Python | aspx2url/aspx2url.py | marcocucinato/aspx2url | 985a0e51865bb7be15618155ff9844730c2eaaf6 | [
"MIT"
] | null | null | null | aspx2url/aspx2url.py | marcocucinato/aspx2url | 985a0e51865bb7be15618155ff9844730c2eaaf6 | [
"MIT"
] | null | null | null | aspx2url/aspx2url.py | marcocucinato/aspx2url | 985a0e51865bb7be15618155ff9844730c2eaaf6 | [
"MIT"
] | null | null | null | from __future__ import print_function
import re, sys, glob, getopt, os
def usage():
print('aspx2url v1.0')
print('Usage:')
print(sys.argv[0]+' -d -h filename(s)')
print('-d : Delete original file')
print('-h : This help')
def main():
try:
opts, args = getopt.getopt(sys.argv[1:], "hd")... | 29.285714 | 77 | 0.530081 | 145 | 1,230 | 4.393103 | 0.496552 | 0.037677 | 0.037677 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009357 | 0.304878 | 1,230 | 41 | 78 | 30 | 0.735673 | 0 | 0 | 0.052632 | 0 | 0 | 0.139024 | 0.030894 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.052632 | 0 | 0.105263 | 0.184211 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a00f65f8d9c6385beccc2cbd3c37ef660b0dc52 | 6,343 | py | Python | tarentsocialwall/MongoDBClient.py | tarent/socialwall-backend | 2f09b8ccdd62a15daaa281d6ff568cb6ef749ab6 | [
"MIT"
] | null | null | null | tarentsocialwall/MongoDBClient.py | tarent/socialwall-backend | 2f09b8ccdd62a15daaa281d6ff568cb6ef749ab6 | [
"MIT"
] | null | null | null | tarentsocialwall/MongoDBClient.py | tarent/socialwall-backend | 2f09b8ccdd62a15daaa281d6ff568cb6ef749ab6 | [
"MIT"
] | 2 | 2019-08-06T14:14:44.000Z | 2019-08-06T14:21:19.000Z | import random
from datetime import datetime
from passlib.handlers.sha2_crypt import sha256_crypt
from pymongo import MongoClient
from pymongo.errors import ConnectionFailure
from tarentsocialwall.SocialPost import SocialPost
from tarentsocialwall.User import User
from tarentsocialwall.Util import Util
class MongoDB... | 33.036458 | 100 | 0.631405 | 731 | 6,343 | 5.235294 | 0.201094 | 0.073164 | 0.047557 | 0.036582 | 0.296316 | 0.267311 | 0.238045 | 0.195453 | 0.174549 | 0.117586 | 0 | 0.003274 | 0.277787 | 6,343 | 191 | 101 | 33.209424 | 0.832133 | 0.07189 | 0 | 0.282609 | 0 | 0 | 0.058233 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108696 | false | 0.021739 | 0.057971 | 0.007246 | 0.311594 | 0.043478 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a0102385be6299942545100e581de23300db9a4 | 76,697 | py | Python | src/mount_efs/__init__.py | Sodki/efs-utils | 493d9ea0dde93b560519b184219f6f71e32a8fcf | [
"MIT"
] | null | null | null | src/mount_efs/__init__.py | Sodki/efs-utils | 493d9ea0dde93b560519b184219f6f71e32a8fcf | [
"MIT"
] | null | null | null | src/mount_efs/__init__.py | Sodki/efs-utils | 493d9ea0dde93b560519b184219f6f71e32a8fcf | [
"MIT"
] | 12 | 2020-10-22T03:47:51.000Z | 2022-03-19T18:09:59.000Z | #!/usr/bin/env python
#
# Copyright 2017-2018 Amazon.com, Inc. and its affiliates. All Rights Reserved.
#
# Licensed under the MIT License. See the LICENSE accompanying this file
# for the specific language governing permissions and limitations under
# the License.
#
#
# Copy this script to /sbin/mount.efs and make sur... | 38.560583 | 130 | 0.680535 | 10,057 | 76,697 | 4.939147 | 0.107984 | 0.005234 | 0.010871 | 0.005818 | 0.40829 | 0.331186 | 0.284038 | 0.230407 | 0.202988 | 0.164556 | 0 | 0.007997 | 0.222316 | 76,697 | 1,988 | 131 | 38.57998 | 0.8248 | 0.092663 | 0 | 0.225897 | 0 | 0.014075 | 0.198127 | 0.023725 | 0 | 0 | 0 | 0 | 0.002111 | 1 | 0.069669 | false | 0.002815 | 0.024631 | 0.003519 | 0.194229 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a01fe7f065ff8fbb40e8cf44137b52463e1417c | 1,010 | py | Python | upcfcardsearch/c8.py | ProfessorSean/Kasutamaiza | 7a69a69258f67bbb88bebbac6da4e6e1434947e6 | [
"MIT"
] | null | null | null | upcfcardsearch/c8.py | ProfessorSean/Kasutamaiza | 7a69a69258f67bbb88bebbac6da4e6e1434947e6 | [
"MIT"
] | null | null | null | upcfcardsearch/c8.py | ProfessorSean/Kasutamaiza | 7a69a69258f67bbb88bebbac6da4e6e1434947e6 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
from discord.utils import get
class c8(commands.Cog, name="c8"):
def __init__(self, bot: commands.Bot):
self.bot = bot
@commands.command(name='Sacrosanct_Devouring_Pyre', aliases=['c8'])
async def example_embed(self, ctx):
embed = discord.Emb... | 43.913043 | 195 | 0.687129 | 138 | 1,010 | 4.934783 | 0.565217 | 0.048458 | 0.101322 | 0.07489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032767 | 0.184158 | 1,010 | 23 | 196 | 43.913043 | 0.793689 | 0 | 0 | 0 | 0 | 0.055556 | 0.323442 | 0.0455 | 0 | 0 | 0.007913 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.166667 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a023f8c8af70de4e0b8e937c5773e7da489fab5 | 2,627 | py | Python | SVMmodel_withSKF.py | tameney22/DCI-Capstone | 6f59541f16030bfa3f0a706fd9f0e4394e1ee974 | [
"MIT"
] | null | null | null | SVMmodel_withSKF.py | tameney22/DCI-Capstone | 6f59541f16030bfa3f0a706fd9f0e4394e1ee974 | [
"MIT"
] | null | null | null | SVMmodel_withSKF.py | tameney22/DCI-Capstone | 6f59541f16030bfa3f0a706fd9f0e4394e1ee974 | [
"MIT"
] | null | null | null | """
This script is where the preprocessed data is used to train the SVM model to
perform the classification. I am using Stratified K-Fold Cross Validation to
prevent bias and/or any imbalance that could affect the model's accuracy.
REFERENCE: https://medium.com/@bedigunjit/simple-guide-to-text-classification-nlp-usin... | 31.650602 | 132 | 0.760183 | 396 | 2,627 | 4.876263 | 0.386364 | 0.027965 | 0.01709 | 0.031072 | 0.037286 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011329 | 0.12638 | 2,627 | 82 | 133 | 32.036585 | 0.830065 | 0.412257 | 0 | 0 | 0 | 0 | 0.134957 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.184211 | 0 | 0.184211 | 0.263158 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a048666edf3e5d75a0ded13639990b1d6bed2e8 | 33,554 | py | Python | src/consensus.py | dschwoerer/samscripts | caee697e96a0639b7a4f9db02f70f4fd92b39ef9 | [
"MIT"
] | null | null | null | src/consensus.py | dschwoerer/samscripts | caee697e96a0639b7a4f9db02f70f4fd92b39ef9 | [
"MIT"
] | null | null | null | src/consensus.py | dschwoerer/samscripts | caee697e96a0639b7a4f9db02f70f4fd92b39ef9 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# Copyright Ivan Sovic, 2015. www.sovic.org
#
# Creates a pileup from a given SAM/BAM file, and calls consensus bases (or variants).
import os
import sys
import operator
import subprocess
def increase_in_dict(dict_counter, value):
try:
dict_counter[value] += 1
except:
... | 39.755924 | 436 | 0.550933 | 4,042 | 33,554 | 4.313953 | 0.114547 | 0.023513 | 0.03051 | 0.016345 | 0.535413 | 0.445375 | 0.385158 | 0.3453 | 0.332454 | 0.308941 | 0 | 0.015717 | 0.343893 | 33,554 | 843 | 437 | 39.803084 | 0.776334 | 0.216695 | 0 | 0.456656 | 0 | 0.03096 | 0.133988 | 0.041133 | 0 | 0 | 0 | 0.001186 | 0 | 1 | 0.00774 | false | 0.010836 | 0.006192 | 0 | 0.029412 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a049ff78a91de998072b637d1639d25a433a194 | 5,867 | py | Python | web/addons/account_payment/wizard/account_payment_populate_statement.py | diogocs1/comps | 63df07f6cf21c41e4527c06e2d0499f23f4322e7 | [
"Apache-2.0"
] | null | null | null | web/addons/account_payment/wizard/account_payment_populate_statement.py | diogocs1/comps | 63df07f6cf21c41e4527c06e2d0499f23f4322e7 | [
"Apache-2.0"
] | null | null | null | web/addons/account_payment/wizard/account_payment_populate_statement.py | diogocs1/comps | 63df07f6cf21c41e4527c06e2d0499f23f4322e7 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU... | 48.891667 | 250 | 0.592466 | 723 | 5,867 | 4.596127 | 0.26971 | 0.027084 | 0.027084 | 0.033704 | 0.290701 | 0.222389 | 0.136624 | 0.058381 | 0.058381 | 0.058381 | 0 | 0.003465 | 0.262144 | 5,867 | 119 | 251 | 49.302521 | 0.764149 | 0.154082 | 0 | 0.097561 | 0 | 0 | 0.160677 | 0.052863 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02439 | false | 0 | 0.036585 | 0 | 0.146341 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a051324d6c23235da009880d6bcb0d30ed4d8dc | 315 | py | Python | 2-Python-Fundamentals (Jan 2021)/Course-Exercises-and-Exams/08-Text-Processing/01_Lab/02-Repeat-Strings.py | karolinanikolova/SoftUni-Software-Engineering | 7891924956598b11a1e30e2c220457c85c40f064 | [
"MIT"
] | null | null | null | 2-Python-Fundamentals (Jan 2021)/Course-Exercises-and-Exams/08-Text-Processing/01_Lab/02-Repeat-Strings.py | karolinanikolova/SoftUni-Software-Engineering | 7891924956598b11a1e30e2c220457c85c40f064 | [
"MIT"
] | null | null | null | 2-Python-Fundamentals (Jan 2021)/Course-Exercises-and-Exams/08-Text-Processing/01_Lab/02-Repeat-Strings.py | karolinanikolova/SoftUni-Software-Engineering | 7891924956598b11a1e30e2c220457c85c40f064 | [
"MIT"
] | null | null | null | # 2. Repeat Strings
# Write a Program That Reads a list of strings. Each string is repeated N times, where N is the length of the string. Print the concatenated string.
strings = input().split()
output_string = ""
for string in strings:
N = len(string)
output_string += string * N
print(output_string)
| 22.5 | 148 | 0.71746 | 49 | 315 | 4.55102 | 0.55102 | 0.161435 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003984 | 0.203175 | 315 | 13 | 149 | 24.230769 | 0.884462 | 0.520635 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a0724ca0ed93e378a29473e0b6b5911cc4be4e6 | 944 | py | Python | algorithm/dfs/boj_1260.py | ruslanlvivsky/python-algorithm | 2b49bed33cd0e95b8a1e758008191f4392b3f667 | [
"MIT"
] | 3 | 2021-07-18T14:40:24.000Z | 2021-08-14T18:08:13.000Z | algorithm/dfs/boj_1260.py | jinsuSang/python-algorithm | 524849a0a7e71034d329fef63c4f384930334177 | [
"MIT"
] | null | null | null | algorithm/dfs/boj_1260.py | jinsuSang/python-algorithm | 524849a0a7e71034d329fef63c4f384930334177 | [
"MIT"
] | null | null | null | def dfs(V):
print(V, end=' ')
visited[V] = True
for n in graph[V]:
if not visited[n]:
dfs(n)
def dfs_s(V):
stack = [V]
visited[V] = True
while stack:
now = stack.pop()
print(now, end=' ')
for n in graph[now]:
if not visited[n]:
... | 19.265306 | 44 | 0.470339 | 141 | 944 | 3.134752 | 0.248227 | 0.090498 | 0.081448 | 0.074661 | 0.352941 | 0.171946 | 0.171946 | 0.171946 | 0.171946 | 0.171946 | 0 | 0.009901 | 0.358051 | 944 | 48 | 45 | 19.666667 | 0.719472 | 0 | 0 | 0.358974 | 0 | 0 | 0.003178 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.076923 | 0.102564 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a07aa532405a92d53e9ed5f46dcbcbd7a845cfa | 634 | py | Python | redirector.py | UKPLab/DiGAT | b044648a6c79428872a778908d3a8a689f0ac3e6 | [
"Apache-2.0"
] | 8 | 2016-06-22T17:02:45.000Z | 2020-11-16T23:46:13.000Z | redirector.py | UKPLab/DiGAT | b044648a6c79428872a778908d3a8a689f0ac3e6 | [
"Apache-2.0"
] | null | null | null | redirector.py | UKPLab/DiGAT | b044648a6c79428872a778908d3a8a689f0ac3e6 | [
"Apache-2.0"
] | 1 | 2019-02-25T04:40:04.000Z | 2019-02-25T04:40:04.000Z | from google.appengine.ext import webapp
from google.appengine.ext.webapp.util import run_wsgi_app
__author__ = "Artem Vovk, Roland Kluge, and Christian Kirschner"
__copyright__ = "Copyright 2013-2015 UKP TU Darmstadt"
__credits__ = ["Artem Vovk", "Roland Kluge", "Christian Kirschner"]
__license__ = "ASL"
class Redire... | 22.642857 | 67 | 0.705047 | 74 | 634 | 5.662162 | 0.594595 | 0.047733 | 0.090692 | 0.105012 | 0.128878 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015152 | 0.167192 | 634 | 27 | 68 | 23.481481 | 0.778409 | 0 | 0 | 0.111111 | 0 | 0 | 0.26183 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.111111 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a0b98cc37e3d3bfecf8eba880eba829290a251c | 1,862 | py | Python | deepgp_dsvi/demos/step_function.py | dks28/Deep-Gaussian-Process | a7aace43e78aae81468849aee7d172742e6ecf86 | [
"MIT"
] | 21 | 2020-03-07T15:40:13.000Z | 2021-11-05T07:49:24.000Z | deepgp_dsvi/demos/step_function.py | dks28/Deep-Gaussian-Process | a7aace43e78aae81468849aee7d172742e6ecf86 | [
"MIT"
] | 3 | 2021-02-03T13:32:45.000Z | 2021-07-17T16:07:06.000Z | src/demos/step_function.py | FelixOpolka/Deep-Gaussian-Process | 40181f210d7b09863c321d1a90335be77233df80 | [
"MIT"
] | 2 | 2020-08-10T14:02:28.000Z | 2020-12-28T16:03:09.000Z | import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
from gpflow.kernels import White, RBF
from gpflow.likelihoods import Gaussian
from deep_gp import DeepGP
np.random.seed(0)
tf.random.set_seed(0)
def get_data():
Ns = 300
Xs = np.linspace(-0.5, 1.5, Ns)[:, None]
N, M = 50, 25
... | 31.033333 | 77 | 0.645005 | 295 | 1,862 | 3.908475 | 0.40339 | 0.027754 | 0.024284 | 0.041631 | 0.08673 | 0.034692 | 0 | 0 | 0 | 0 | 0 | 0.036301 | 0.215897 | 1,862 | 60 | 78 | 31.033333 | 0.753425 | 0.023093 | 0 | 0 | 0 | 0 | 0.030803 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044444 | false | 0 | 0.133333 | 0 | 0.222222 | 0.022222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a0bd26d528523a33d941c1d0799a814a2b95dcf | 5,343 | py | Python | metaspace/engine/sm/engine/annotation_lithops/moldb_pipeline.py | METASPACE2020/METASPACE | e1acd9a409f84a78eed7ca9713258c09b0e137ca | [
"Apache-2.0"
] | 32 | 2018-08-13T15:49:42.000Z | 2022-01-17T18:32:19.000Z | metaspace/engine/sm/engine/annotation_lithops/moldb_pipeline.py | METASPACE2020/METASPACE | e1acd9a409f84a78eed7ca9713258c09b0e137ca | [
"Apache-2.0"
] | 624 | 2018-07-02T15:18:22.000Z | 2022-03-30T08:10:35.000Z | metaspace/engine/sm/engine/annotation_lithops/moldb_pipeline.py | METASPACE2020/METASPACE | e1acd9a409f84a78eed7ca9713258c09b0e137ca | [
"Apache-2.0"
] | 6 | 2021-01-10T22:24:30.000Z | 2022-03-16T19:14:37.000Z | from __future__ import annotations
import json
import logging
from contextlib import contextmanager, ExitStack
from typing import List, Dict
import pandas as pd
from lithops.storage import Storage
from lithops.storage.utils import CloudObject, StorageNoSuchKeyError
from sm.engine.annotation_lithops.build_moldb impor... | 36.59589 | 99 | 0.668351 | 685 | 5,343 | 4.989781 | 0.290511 | 0.024576 | 0.041837 | 0.038619 | 0.176419 | 0.115565 | 0.086893 | 0.078994 | 0.060854 | 0.060854 | 0 | 0.003735 | 0.248362 | 5,343 | 145 | 100 | 36.848276 | 0.847361 | 0.124088 | 0 | 0.053097 | 0 | 0 | 0.079923 | 0.016285 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061947 | false | 0 | 0.141593 | 0 | 0.256637 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a0dc9555ac01260e856ab868bd3c294497c065f | 2,830 | py | Python | gui/main_window/node_editor/items/connector_top_item.py | anglebinbin/Barista-tool | 2d51507fb3566881923f0b273127f59d23ed317f | [
"MIT"
] | 1 | 2020-02-11T19:05:17.000Z | 2020-02-11T19:05:17.000Z | gui/main_window/node_editor/items/connector_top_item.py | anglebinbin/Barista-tool | 2d51507fb3566881923f0b273127f59d23ed317f | [
"MIT"
] | null | null | null | gui/main_window/node_editor/items/connector_top_item.py | anglebinbin/Barista-tool | 2d51507fb3566881923f0b273127f59d23ed317f | [
"MIT"
] | null | null | null | from PyQt5.QtWidgets import QMenu
from gui.main_window.node_editor.items.connector_item import ConnectorItem
class ConnectorTopItem(ConnectorItem):
""" Class to provide top connector functionality """
def __init__(self, index, nodeItem, nodeEditor, parent=None):
super(ConnectorTopItem, self).__init_... | 44.21875 | 118 | 0.673852 | 289 | 2,830 | 6.519031 | 0.346021 | 0.045117 | 0.06104 | 0.07431 | 0.259023 | 0.135881 | 0.101911 | 0.101911 | 0.061571 | 0 | 0 | 0.000943 | 0.250883 | 2,830 | 63 | 119 | 44.920635 | 0.887736 | 0.280212 | 0 | 0.175 | 0 | 0 | 0.013875 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.175 | false | 0 | 0.05 | 0 | 0.35 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a0e7a4577ac3f9f8b9fd994210704a26f91ee39 | 2,606 | py | Python | api/src/opentrons/protocol_engine/commands/thermocycler/open_lid.py | Opentrons/protocol_framework | ebbd6b2fe984edd6ecfcbf1dbe040db7f7356b9f | [
"Apache-2.0"
] | null | null | null | api/src/opentrons/protocol_engine/commands/thermocycler/open_lid.py | Opentrons/protocol_framework | ebbd6b2fe984edd6ecfcbf1dbe040db7f7356b9f | [
"Apache-2.0"
] | null | null | null | api/src/opentrons/protocol_engine/commands/thermocycler/open_lid.py | Opentrons/protocol_framework | ebbd6b2fe984edd6ecfcbf1dbe040db7f7356b9f | [
"Apache-2.0"
] | null | null | null | """Command models to open a Thermocycler's lid."""
from __future__ import annotations
from typing import Optional, TYPE_CHECKING
from typing_extensions import Literal, Type
from pydantic import BaseModel, Field
from ..command import AbstractCommandImpl, BaseCommand, BaseCommandCreate
from opentrons.protocol_engine.ty... | 30.302326 | 87 | 0.699156 | 263 | 2,606 | 6.771863 | 0.387833 | 0.051095 | 0.055025 | 0.057271 | 0.138686 | 0.126895 | 0.101067 | 0.101067 | 0.101067 | 0.101067 | 0 | 0 | 0.224482 | 2,606 | 85 | 88 | 30.658824 | 0.881247 | 0.149655 | 0 | 0.078431 | 0 | 0 | 0.041822 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019608 | false | 0 | 0.156863 | 0 | 0.45098 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a11d7dca909e3885ae2dbc3bc1e2d0a99547ada | 3,901 | py | Python | scripts/randomize_sw2_seed.py | epichoxha/nanodump | 3a269ed427b474a701197e13ce40cb1daf803a82 | [
"Apache-2.0"
] | null | null | null | scripts/randomize_sw2_seed.py | epichoxha/nanodump | 3a269ed427b474a701197e13ce40cb1daf803a82 | [
"Apache-2.0"
] | null | null | null | scripts/randomize_sw2_seed.py | epichoxha/nanodump | 3a269ed427b474a701197e13ce40cb1daf803a82 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import re
import glob
import random
import struct
def get_old_seed():
with open('include/syscalls.h') as f:
code = f.read()
match = re.search(r'#define SW2_SEED (0x[a-fA-F0-9]{8})', code)
assert match is not None, 'SW2_SEED not found!'
... | 32.508333 | 104 | 0.600103 | 568 | 3,901 | 3.922535 | 0.207746 | 0.059246 | 0.015709 | 0.017953 | 0.461849 | 0.380162 | 0.253591 | 0.2307 | 0.194794 | 0.132855 | 0 | 0.027586 | 0.256601 | 3,901 | 119 | 105 | 32.781513 | 0.74069 | 0.016406 | 0 | 0.242105 | 0 | 0 | 0.213876 | 0.024517 | 0 | 0 | 0 | 0 | 0.031579 | 1 | 0.063158 | false | 0 | 0.052632 | 0 | 0.136842 | 0.031579 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a11fa8d863a9e5b451bd2a7ef2241aafe768509 | 1,289 | py | Python | checker/checker/executer.py | grimpy/hexa-a | 556e9a2a70758bf9c7d70f91776d361b40524c78 | [
"Apache-2.0"
] | 3 | 2018-02-05T11:43:04.000Z | 2019-02-22T18:11:55.000Z | checker/checker/executer.py | grimpy/hexa-a | 556e9a2a70758bf9c7d70f91776d361b40524c78 | [
"Apache-2.0"
] | 4 | 2019-03-26T09:51:43.000Z | 2019-03-31T06:41:14.000Z | checker/checker/executer.py | grimpy/hexa-a | 556e9a2a70758bf9c7d70f91776d361b40524c78 | [
"Apache-2.0"
] | 1 | 2019-03-03T20:55:21.000Z | 2019-03-03T20:55:21.000Z | from subprocess import run, PIPE, TimeoutExpired, CompletedProcess
from codes import exitcodes
def _error_decode(response):
stderr = ""
if response.returncode:
if response.returncode < 0:
errmsg = exitcodes.get(abs(response.returncode), "Unknown Error")
if isinstance(errmsg, dic... | 30.690476 | 78 | 0.577967 | 121 | 1,289 | 6.115702 | 0.429752 | 0.145946 | 0.051351 | 0.083784 | 0.110811 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008037 | 0.324282 | 1,289 | 42 | 79 | 30.690476 | 0.841561 | 0 | 0 | 0.102564 | 0 | 0 | 0.058915 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051282 | false | 0 | 0.051282 | 0 | 0.153846 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a124e6043f5f93ce124eed73efc4b8488512375 | 1,739 | py | Python | pfm/pf_command/update.py | takahi-i/pfm | 224ca961ca43f50bd877789e2d8659ae838d517f | [
"MIT"
] | 9 | 2018-01-06T05:44:43.000Z | 2020-06-24T00:15:16.000Z | pfm/pf_command/update.py | takahi-i/pfm | 224ca961ca43f50bd877789e2d8659ae838d517f | [
"MIT"
] | 27 | 2018-01-06T09:29:48.000Z | 2020-04-10T16:11:59.000Z | pfm/pf_command/update.py | takahi-i/pfm | 224ca961ca43f50bd877789e2d8659ae838d517f | [
"MIT"
] | 1 | 2018-01-09T01:33:42.000Z | 2018-01-09T01:33:42.000Z | import json
from pfm.pf_command.base import BaseCommand
from pfm.util.log import logger
class UpdateCommand(BaseCommand):
def __init__(self, name, forward_type,
remote_host, remote_port, local_port,
ssh_server, server_port, login_user, config):
super(UpdateCommand, self)... | 34.78 | 88 | 0.617021 | 229 | 1,739 | 4.458515 | 0.240175 | 0.047013 | 0.061704 | 0.10284 | 0.119491 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000815 | 0.294422 | 1,739 | 49 | 89 | 35.489796 | 0.831296 | 0.009201 | 0 | 0 | 0 | 0 | 0.06566 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.071429 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a12692597c07586454530c9bcf5baae61076b3f | 7,499 | py | Python | tests/atfork/test_atfork.py | luciferliu/xTools | 324ef1388be13ece0d952e3929eb685212d573f1 | [
"Apache-2.0"
] | null | null | null | tests/atfork/test_atfork.py | luciferliu/xTools | 324ef1388be13ece0d952e3929eb685212d573f1 | [
"Apache-2.0"
] | null | null | null | tests/atfork/test_atfork.py | luciferliu/xTools | 324ef1388be13ece0d952e3929eb685212d573f1 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#
# Copyright 2009 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/LICENSE-2.0
#
# Unless required by applicable... | 37.123762 | 86 | 0.648887 | 926 | 7,499 | 4.971922 | 0.222462 | 0.024761 | 0.026064 | 0.048653 | 0.356212 | 0.28106 | 0.221546 | 0.165508 | 0.149001 | 0.111642 | 0 | 0.005204 | 0.256834 | 7,499 | 201 | 87 | 37.308458 | 0.820922 | 0.139752 | 0 | 0.202797 | 0 | 0 | 0.064184 | 0 | 0 | 0 | 0 | 0 | 0.258741 | 1 | 0.160839 | false | 0 | 0.055944 | 0 | 0.230769 | 0.006993 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a131e98cf16cdcab3785e1e0af7a922aba56c50 | 2,213 | py | Python | IO/files/handling.py | brendano257/Zugspitze-Schneefernerhaus | 64bb86ece2eec147f2a7fb412f87ff2313388753 | [
"MIT"
] | null | null | null | IO/files/handling.py | brendano257/Zugspitze-Schneefernerhaus | 64bb86ece2eec147f2a7fb412f87ff2313388753 | [
"MIT"
] | null | null | null | IO/files/handling.py | brendano257/Zugspitze-Schneefernerhaus | 64bb86ece2eec147f2a7fb412f87ff2313388753 | [
"MIT"
] | null | null | null | import os
from pathlib import Path
__all__ = ['list_files_recur', 'scan_and_create_dir_tree', 'get_all_data_files', 'get_subsubdirs']
def list_files_recur(path):
"""
Cheater function that wraps path.rglob().
:param Path path: path to list recursively
:return list: list of Path objects
"""
fi... | 28.371795 | 106 | 0.66742 | 338 | 2,213 | 4.230769 | 0.319527 | 0.041958 | 0.053846 | 0.022378 | 0.131469 | 0.053147 | 0.053147 | 0.053147 | 0.053147 | 0.053147 | 0 | 0.002377 | 0.239494 | 2,213 | 77 | 107 | 28.74026 | 0.847296 | 0.432445 | 0 | 0.193548 | 0 | 0 | 0.063644 | 0.020924 | 0 | 0 | 0 | 0 | 0 | 1 | 0.129032 | false | 0.032258 | 0.064516 | 0 | 0.290323 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a139742e2452134cace4ac02e78a8badeceb098 | 2,617 | py | Python | tools/mo/openvino/tools/mo/ops/detection_output_onnx.py | ryanloney/openvino-1 | 4e0a740eb3ee31062ba0df88fcf438564f67edb7 | [
"Apache-2.0"
] | 1,127 | 2018-10-15T14:36:58.000Z | 2020-04-20T09:29:44.000Z | tools/mo/openvino/tools/mo/ops/detection_output_onnx.py | ryanloney/openvino-1 | 4e0a740eb3ee31062ba0df88fcf438564f67edb7 | [
"Apache-2.0"
] | 439 | 2018-10-20T04:40:35.000Z | 2020-04-19T05:56:25.000Z | tools/mo/openvino/tools/mo/ops/detection_output_onnx.py | ryanloney/openvino-1 | 4e0a740eb3ee31062ba0df88fcf438564f67edb7 | [
"Apache-2.0"
] | 414 | 2018-10-17T05:53:46.000Z | 2020-04-16T17:29:53.000Z | # Copyright (C) 2018-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from openvino.tools.mo.front.common.partial_infer.utils import dynamic_dimension_value, shape_array, set_input_shapes
from openvino.tools.mo.ops.op import Op
class ExperimentalDetectronDetectionOutput(Op):
op = ... | 39.059701 | 117 | 0.635078 | 328 | 2,617 | 4.762195 | 0.375 | 0.040333 | 0.049296 | 0.049936 | 0.232394 | 0.145967 | 0.09219 | 0.09219 | 0.058899 | 0 | 0 | 0.018566 | 0.259075 | 2,617 | 66 | 118 | 39.651515 | 0.787004 | 0.143294 | 0 | 0.06 | 0 | 0 | 0.10927 | 0.052844 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.06 | 0.02 | 0.24 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a139aa59f68903a8a744250e0c92696c28eb301 | 2,046 | py | Python | driver.py | FahimMahmudJoy/Physionet_2019_Sepsis | d31bec40aa0359071bfaff1a4d72569c5731a04e | [
"BSD-2-Clause"
] | 1 | 2019-06-26T19:38:33.000Z | 2019-06-26T19:38:33.000Z | driver.py | FahimMahmudJoy/Physionet_2019_Sepsis | d31bec40aa0359071bfaff1a4d72569c5731a04e | [
"BSD-2-Clause"
] | null | null | null | driver.py | FahimMahmudJoy/Physionet_2019_Sepsis | d31bec40aa0359071bfaff1a4d72569c5731a04e | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
import numpy as np, os, sys
from get_sepsis_score import load_sepsis_model, get_sepsis_score
def load_challenge_data(file):
with open(file, 'r') as f:
header = f.readline().strip()
column_names = header.split('|')
data = np.loadtxt(f, delimiter='|')
# Ignore Seps... | 30.537313 | 124 | 0.623167 | 274 | 2,046 | 4.463504 | 0.368613 | 0.02453 | 0.034342 | 0.017989 | 0.040883 | 0.040883 | 0 | 0 | 0 | 0 | 0 | 0.004596 | 0.255621 | 2,046 | 66 | 125 | 31 | 0.798424 | 0.091398 | 0 | 0 | 0 | 0 | 0.087615 | 0.020011 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.047619 | 0 | 0.119048 | 0.02381 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a139fa7954e69a2e28f61ebd4a2c8e7028fb83e | 2,589 | py | Python | src/LspRuntimeMonitor.py | TafsirGna/ClspGeneticAlgorithm | 25184afbbd52773b8aed2e268ae98dd9656cacda | [
"MIT"
] | null | null | null | src/LspRuntimeMonitor.py | TafsirGna/ClspGeneticAlgorithm | 25184afbbd52773b8aed2e268ae98dd9656cacda | [
"MIT"
] | null | null | null | src/LspRuntimeMonitor.py | TafsirGna/ClspGeneticAlgorithm | 25184afbbd52773b8aed2e268ae98dd9656cacda | [
"MIT"
] | null | null | null | #!/usr/bin/python3.5
# -*-coding: utf-8 -*
from collections import defaultdict
from threading import Thread
from time import perf_counter, time
from LspLibrary import bcolors
import time
import matplotlib.pyplot as plt
class LspRuntimeMonitor:
"""
"""
clockStart = None
clockEnd = None
mutation_s... | 21.940678 | 71 | 0.545384 | 250 | 2,589 | 5.604 | 0.428 | 0.079943 | 0.018558 | 0.031406 | 0.105639 | 0.105639 | 0.105639 | 0.105639 | 0.105639 | 0.105639 | 0 | 0.00453 | 0.317883 | 2,589 | 118 | 72 | 21.940678 | 0.788788 | 0.107764 | 0 | 0.15625 | 0 | 0 | 0.11039 | 0.041744 | 0 | 0 | 0 | 0 | 0 | 1 | 0.140625 | false | 0.015625 | 0.09375 | 0 | 0.390625 | 0.078125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a152a32efa9784006230b4163868ce2479ff3ba | 20,737 | py | Python | methylcheck/predict/sex.py | FoxoTech/methylcheck | 881d14d78e6086aab184716e0b79cdf87e9be8bf | [
"MIT"
] | null | null | null | methylcheck/predict/sex.py | FoxoTech/methylcheck | 881d14d78e6086aab184716e0b79cdf87e9be8bf | [
"MIT"
] | 11 | 2021-04-08T16:14:54.000Z | 2022-03-09T00:22:13.000Z | methylcheck/predict/sex.py | FoxoTech/methylcheck | 881d14d78e6086aab184716e0b79cdf87e9be8bf | [
"MIT"
] | 1 | 2022-02-10T09:06:45.000Z | 2022-02-10T09:06:45.000Z | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from pathlib import Path
#app
import methylcheck # uses .load; get_sex uses methylprep models too and detect_array()
import logging
LOGGER = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
def _get_copy_n... | 53.583979 | 191 | 0.672711 | 2,931 | 20,737 | 4.580007 | 0.181167 | 0.02868 | 0.036874 | 0.016389 | 0.257449 | 0.197482 | 0.161949 | 0.129172 | 0.090957 | 0.080825 | 0 | 0.009363 | 0.227468 | 20,737 | 386 | 192 | 53.722798 | 0.828589 | 0.325216 | 0 | 0.155039 | 0 | 0.011628 | 0.174485 | 0.025573 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015504 | false | 0.007752 | 0.042636 | 0 | 0.085271 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a164cca97745158870c1da7ad0a330912380e28 | 2,504 | py | Python | tests/test_basics.py | sirosen/git-fortune | 69ef3e18506aa67fdc812854f1588828ea4e7448 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | tests/test_basics.py | sirosen/git-fortune | 69ef3e18506aa67fdc812854f1588828ea4e7448 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | tests/test_basics.py | sirosen/git-fortune | 69ef3e18506aa67fdc812854f1588828ea4e7448 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | import subprocess
from git_fortune._compat import fix_line_endings
from git_fortune.version import __version__
def test_help(capfd):
subprocess.check_call(["git-fortune", "-h"])
captured = capfd.readouterr()
assert (
fix_line_endings(
"""
A fortune-like command for showing git tips
I... | 33.386667 | 81 | 0.527157 | 251 | 2,504 | 5.111554 | 0.334661 | 0.093531 | 0.076383 | 0.158223 | 0.506625 | 0.420889 | 0.221356 | 0.221356 | 0.221356 | 0.221356 | 0 | 0.005093 | 0.294329 | 2,504 | 74 | 82 | 33.837838 | 0.720996 | 0.044728 | 0 | 0.214286 | 0 | 0 | 0.181481 | 0 | 0 | 0 | 0 | 0 | 0.214286 | 1 | 0.166667 | false | 0 | 0.071429 | 0 | 0.238095 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a167dd5d92960139223aa44954c2cb6cacf4375 | 2,487 | py | Python | configs/keypoints/faster_rcnn_r50_fpn_keypoints.py | VGrondin/CBNetV2_mask_remote | b27246af5081d5395db3c3105d32226de05fcd13 | [
"Apache-2.0"
] | null | null | null | configs/keypoints/faster_rcnn_r50_fpn_keypoints.py | VGrondin/CBNetV2_mask_remote | b27246af5081d5395db3c3105d32226de05fcd13 | [
"Apache-2.0"
] | null | null | null | configs/keypoints/faster_rcnn_r50_fpn_keypoints.py | VGrondin/CBNetV2_mask_remote | b27246af5081d5395db3c3105d32226de05fcd13 | [
"Apache-2.0"
] | null | null | null | _base_ = [
'../_base_/models/faster_rcnn_r50_fpn.py'
]
model = dict(
type='FasterRCNN',
# pretrained='torchvision://resnet50',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requir... | 32.298701 | 77 | 0.542421 | 292 | 2,487 | 4.386986 | 0.39726 | 0.118657 | 0.01171 | 0.01249 | 0.259953 | 0.235753 | 0.229508 | 0.165496 | 0.165496 | 0.165496 | 0 | 0.083284 | 0.31926 | 2,487 | 76 | 78 | 32.723684 | 0.673361 | 0.148372 | 0 | 0.166667 | 0 | 0 | 0.119297 | 0.029943 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a168cae49b57ce434a41c7070da071ca4734fc0 | 3,232 | py | Python | maskrcnn_benchmark/layers/roi_align_rotated_3d.py | picwoon/As_built_BIM | 9e6b81e2fd8904f5afd013e21d2db45456c138d5 | [
"MIT"
] | 2 | 2020-03-05T06:39:03.000Z | 2020-03-31T12:08:04.000Z | maskrcnn_benchmark/layers/roi_align_rotated_3d.py | picwoon/As_built_BIM | 9e6b81e2fd8904f5afd013e21d2db45456c138d5 | [
"MIT"
] | null | null | null | maskrcnn_benchmark/layers/roi_align_rotated_3d.py | picwoon/As_built_BIM | 9e6b81e2fd8904f5afd013e21d2db45456c138d5 | [
"MIT"
] | 1 | 2021-09-24T13:17:40.000Z | 2021-09-24T13:17:40.000Z | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import torch, math
from torch import nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair
from SparseConvNet.sparseconvnet.tools_3d_2d import sparse_3d_to_dense_2d
i... | 34.021053 | 101 | 0.63552 | 412 | 3,232 | 4.665049 | 0.296117 | 0.098855 | 0.031217 | 0.03538 | 0.184703 | 0.083247 | 0.046826 | 0.046826 | 0.046826 | 0.046826 | 0 | 0.029588 | 0.278465 | 3,232 | 94 | 102 | 34.382979 | 0.794597 | 0.219369 | 0 | 0.064516 | 0 | 0 | 0.019567 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080645 | false | 0 | 0.112903 | 0 | 0.290323 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a16ef74b6b87e7acddaab1f4ea03a7e48da5422 | 8,360 | py | Python | src/model/utils/utils.py | J-CITY/METADATA-EXTRACTOR | 6bc01a7e4b74a3156c07efc2c80d5519c325dd53 | [
"Apache-2.0"
] | null | null | null | src/model/utils/utils.py | J-CITY/METADATA-EXTRACTOR | 6bc01a7e4b74a3156c07efc2c80d5519c325dd53 | [
"Apache-2.0"
] | null | null | null | src/model/utils/utils.py | J-CITY/METADATA-EXTRACTOR | 6bc01a7e4b74a3156c07efc2c80d5519c325dd53 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import os
from .logger import printLog
UNK = "$UNK$"
NUM = "$NUM$"
NONE = "O"
class ParrotIOError(Exception):
def __init__(self, filename):
message = "ERROR: Can not find file {}.".format(filename)
super(ParrotIOError, self).__init__(message)
# Class that iterates over CoNLL Da... | 32.784314 | 84 | 0.55323 | 901 | 8,360 | 5.084351 | 0.241953 | 0.008732 | 0.015717 | 0.015281 | 0.14451 | 0.120061 | 0.087754 | 0.079895 | 0.048461 | 0 | 0 | 0.00784 | 0.3439 | 8,360 | 254 | 85 | 32.913386 | 0.827347 | 0.093062 | 0 | 0.192893 | 0 | 0 | 0.023148 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.091371 | false | 0.005076 | 0.015228 | 0 | 0.182741 | 0.030457 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a177f73dcbbd6c1d2721285cc1b7c72b4784fb1 | 2,781 | py | Python | discordbot/economy/currencies.py | minhhoang1023/GamestonkTerminal | 195dc19b491052df080178c0cc6a9d535a91a704 | [
"MIT"
] | 1 | 2022-02-18T04:02:52.000Z | 2022-02-18T04:02:52.000Z | discordbot/economy/currencies.py | minhhoang1023/GamestonkTerminal | 195dc19b491052df080178c0cc6a9d535a91a704 | [
"MIT"
] | null | null | null | discordbot/economy/currencies.py | minhhoang1023/GamestonkTerminal | 195dc19b491052df080178c0cc6a9d535a91a704 | [
"MIT"
] | null | null | null | import os
import df2img
import disnake
import pandas as pd
from PIL import Image
import discordbot.config_discordbot as cfg
from discordbot.config_discordbot import logger
from discordbot.helpers import autocrop_image
from gamestonk_terminal.economy import wsj_model
async def currencies_command(ctx):
"""Currenc... | 27.81 | 85 | 0.54297 | 316 | 2,781 | 4.670886 | 0.417722 | 0.01626 | 0.022358 | 0.026423 | 0.184959 | 0.126694 | 0.126694 | 0.126694 | 0.126694 | 0.126694 | 0 | 0.018848 | 0.332255 | 2,781 | 99 | 86 | 28.090909 | 0.775983 | 0.032003 | 0 | 0.131579 | 0 | 0 | 0.095004 | 0.009084 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.118421 | 0 | 0.118421 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a17d1c656acfd1f8102ff27381a0764e4f0a027 | 3,276 | py | Python | aiovectortiler/config_handler.py | shongololo/aiovectortiler | cfd0008d5ac05baee52a24264f991946324f5a42 | [
"MIT"
] | 4 | 2016-07-24T20:39:40.000Z | 2018-12-26T06:43:35.000Z | aiovectortiler/config_handler.py | songololo/aiovectortiler | cfd0008d5ac05baee52a24264f991946324f5a42 | [
"MIT"
] | 7 | 2016-08-10T16:27:39.000Z | 2018-10-13T13:16:24.000Z | aiovectortiler/config_handler.py | songololo/aiovectortiler | cfd0008d5ac05baee52a24264f991946324f5a42 | [
"MIT"
] | 3 | 2016-08-09T03:12:24.000Z | 2016-11-08T01:17:29.000Z | import os
import yaml
import logging
logger = logging.getLogger(__name__)
class Configs:
server = None
recipes = {}
DB = None
plugins = None
@classmethod
def init_server_configs(cls, server_configs):
with open(server_configs) as s_c:
cls.server = yaml.load(s_c.read())
... | 28.99115 | 124 | 0.626984 | 420 | 3,276 | 4.695238 | 0.25 | 0.076065 | 0.026369 | 0.03499 | 0.123225 | 0.123225 | 0.123225 | 0.123225 | 0.105477 | 0.105477 | 0 | 0.004473 | 0.24939 | 3,276 | 112 | 125 | 29.25 | 0.797479 | 0.084554 | 0 | 0.140625 | 0 | 0 | 0.06296 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0.046875 | 0.078125 | 0.4375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a17e7c4a91ac2e9483c7bdc29806cbac3d7a40c | 13,237 | py | Python | t2vretrieval/models/mlmatch.py | Roc-Ng/HANet | e679703e9e725205424d87f750358fb4f62ceec5 | [
"MIT"
] | 34 | 2021-07-26T12:22:05.000Z | 2022-03-08T03:49:33.000Z | t2vretrieval/models/mlmatch.py | hexiangteng/HANet | 31d37ccad9c56ff9422cb4eb9d32e79e7b9bc831 | [
"MIT"
] | null | null | null | t2vretrieval/models/mlmatch.py | hexiangteng/HANet | 31d37ccad9c56ff9422cb4eb9d32e79e7b9bc831 | [
"MIT"
] | 3 | 2021-08-03T06:00:26.000Z | 2021-12-27T03:26:12.000Z | import numpy as np
import torch
import framework.ops
import t2vretrieval.encoders.mlsent
import t2vretrieval.encoders.mlvideo
import t2vretrieval.models.globalmatch
from t2vretrieval.models.criterion import cosine_sim
from t2vretrieval.models.globalmatch import VISENC, TXTENC
class RoleGraphMatchModelConfig(t2vretri... | 46.939716 | 156 | 0.694568 | 1,936 | 13,237 | 4.410641 | 0.129132 | 0.02108 | 0.018269 | 0.019674 | 0.338564 | 0.231994 | 0.146973 | 0.093688 | 0.046141 | 0.038412 | 0 | 0.01392 | 0.169676 | 13,237 | 281 | 157 | 47.106762 | 0.762988 | 0.080079 | 0 | 0.055556 | 0 | 0.00463 | 0.079025 | 0 | 0 | 0 | 0 | 0 | 0.00463 | 1 | 0.046296 | false | 0 | 0.037037 | 0.00463 | 0.138889 | 0.023148 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a190e5eb1440e6a01fc6f170da74507f39571ac | 6,295 | py | Python | dronesym-python/flask-api/src/dronepool.py | dilinade/DroneSym | 30073bd31343bc27c6b8d72e48b4e06ced0c5fe6 | [
"Apache-2.0"
] | 1 | 2019-03-24T23:50:07.000Z | 2019-03-24T23:50:07.000Z | dronesym-python/flask-api/src/dronepool.py | dilinade/DroneSym | 30073bd31343bc27c6b8d72e48b4e06ced0c5fe6 | [
"Apache-2.0"
] | null | null | null | dronesym-python/flask-api/src/dronepool.py | dilinade/DroneSym | 30073bd31343bc27c6b8d72e48b4e06ced0c5fe6 | [
"Apache-2.0"
] | null | null | null | #DronePool module which handles interaction with SITLs
from dronekit import Vehicle, VehicleMode, connect
from dronekit_sitl import SITL
from threading import Lock
import node, time
import mavparser
import threadrunner
drone_pool = {}
instance_count = 0
env_test = False
q = None
mq = None
lock = Lock()
class Sim(SI... | 27.133621 | 187 | 0.707705 | 884 | 6,295 | 4.825792 | 0.186652 | 0.047586 | 0.040084 | 0.028129 | 0.296296 | 0.246835 | 0.205345 | 0.199015 | 0.178153 | 0.11158 | 0 | 0.007268 | 0.147577 | 6,295 | 231 | 188 | 27.251082 | 0.787738 | 0.014138 | 0 | 0.160494 | 0 | 0 | 0.107045 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.104938 | false | 0 | 0.037037 | 0.012346 | 0.234568 | 0.061728 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a19dea1f3bc079f6c50613369f0699df82e34cf | 2,365 | py | Python | Problemset/longest-string-chain/longest-string-chain.py | KivenCkl/LeetCode | fcc97c66f8154a5d20c2aca86120cb37b9d2d83d | [
"MIT"
] | 7 | 2019-05-08T03:41:05.000Z | 2020-12-22T12:39:43.000Z | Problemset/longest-string-chain/longest-string-chain.py | Yuziquan/LeetCode | 303fc1c8af847f783c4020bd731b28b72ed92a35 | [
"MIT"
] | 1 | 2021-07-19T03:48:35.000Z | 2021-07-19T03:48:35.000Z | Problemset/longest-string-chain/longest-string-chain.py | Yuziquan/LeetCode | 303fc1c8af847f783c4020bd731b28b72ed92a35 | [
"MIT"
] | 7 | 2019-05-10T20:43:20.000Z | 2021-02-22T03:47:35.000Z |
# @Title: 最长字符串链 (Longest String Chain)
# @Author: KivenC
# @Date: 2019-05-26 20:35:25
# @Runtime: 144 ms
# @Memory: 13.3 MB
class Solution:
# # way 1
# def longestStrChain(self, words: List[str]) -> int:
# # 动态规划
# # dp[i] = max(dp[i], dp[j] + 1) (0 <= j < i 且 words[j] 是 words[i] 的前身)
# ... | 33.785714 | 81 | 0.442283 | 299 | 2,365 | 3.494983 | 0.284281 | 0.03445 | 0.042105 | 0.051675 | 0.200957 | 0.200957 | 0.200957 | 0.091866 | 0 | 0 | 0 | 0.052364 | 0.418605 | 2,365 | 69 | 82 | 34.275362 | 0.707636 | 0.647357 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.052632 | 0 | 0.263158 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a19e8bf83375a817e65cca3fb4f7daafac8434e | 21,107 | py | Python | IKFK Builder/IKFK_Builder.py | ssimbox/ssimbox-rigTools | 824bc3b90c42ab54d01b4b0007f00e7cc2f2f08c | [
"MIT"
] | 1 | 2021-01-19T13:36:42.000Z | 2021-01-19T13:36:42.000Z | IKFK Builder/IKFK_Builder.py | ssimbox/sbx-autorig | 824bc3b90c42ab54d01b4b0007f00e7cc2f2f08c | [
"MIT"
] | 2 | 2021-03-29T22:15:08.000Z | 2021-03-29T22:17:37.000Z | IKFK Builder/IKFK_Builder.py | ssimbox/ssimbox-rigTools | 824bc3b90c42ab54d01b4b0007f00e7cc2f2f08c | [
"MIT"
] | null | null | null | from ctrlUI_lib import createClav2, createSphere
import maya.cmds as cmds
import maya.OpenMaya as om
from functools import partial
def duplicateChain(*args):
global ogChain
global chainLen
global switcherLoc
global side
global controllerColor
global clavCheckbox
global rigGrp, ctrlGrp
... | 41.386275 | 140 | 0.607713 | 2,599 | 21,107 | 4.865718 | 0.166987 | 0.007908 | 0.01115 | 0.014866 | 0.319706 | 0.25431 | 0.223312 | 0.178475 | 0.157204 | 0.133797 | 0 | 0.038685 | 0.250486 | 21,107 | 510 | 141 | 41.386275 | 0.760683 | 0.115791 | 0 | 0.119632 | 0 | 0 | 0.071843 | 0.004947 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039877 | false | 0 | 0.01227 | 0 | 0.052147 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a1cf3b76d95e590eb1efa6bc9673c121f9d7242 | 5,128 | py | Python | pipng/imagescale-q-m.py | nwiizo/joke | 808c4c998cc7f5b7f6f3fb5a3ce421588a70c087 | [
"MIT"
] | 1 | 2017-01-11T06:12:24.000Z | 2017-01-11T06:12:24.000Z | pipng/imagescale-q-m.py | ShuyaMotouchi/joke | 808c4c998cc7f5b7f6f3fb5a3ce421588a70c087 | [
"MIT"
] | null | null | null | pipng/imagescale-q-m.py | ShuyaMotouchi/joke | 808c4c998cc7f5b7f6f3fb5a3ce421588a70c087 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright © 2012-13 Qtrac Ltd. All rights reserved.
# This program or module is free software: you can redistribute it
# and/or modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option)... | 36.892086 | 76 | 0.63475 | 585 | 5,128 | 5.517949 | 0.353846 | 0.027881 | 0.026332 | 0.026022 | 0.178748 | 0.118959 | 0.049566 | 0 | 0 | 0 | 0 | 0.004491 | 0.261895 | 5,128 | 138 | 77 | 37.15942 | 0.848085 | 0.12617 | 0 | 0.046729 | 0 | 0 | 0.123066 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074766 | false | 0 | 0.074766 | 0 | 0.196262 | 0.009346 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a1f0af3de00ce3a7fdb8765f1bbb9115dd67f60 | 35,122 | py | Python | test/integration_test.py | NoopDog/azul | 37614eff627888065c7b0a277b3137b8a587ed51 | [
"Apache-2.0"
] | null | null | null | test/integration_test.py | NoopDog/azul | 37614eff627888065c7b0a277b3137b8a587ed51 | [
"Apache-2.0"
] | null | null | null | test/integration_test.py | NoopDog/azul | 37614eff627888065c7b0a277b3137b8a587ed51 | [
"Apache-2.0"
] | null | null | null | from abc import (
ABCMeta,
)
from concurrent.futures.thread import (
ThreadPoolExecutor,
)
from contextlib import (
contextmanager,
)
import csv
from functools import (
lru_cache,
)
import gzip
from io import (
BytesIO,
TextIOWrapper,
)
import json
import logging
import os
import random
import r... | 40.231386 | 117 | 0.553442 | 3,599 | 35,122 | 5.208113 | 0.184496 | 0.011737 | 0.015258 | 0.006402 | 0.188167 | 0.158237 | 0.128468 | 0.101312 | 0.070476 | 0.056498 | 0 | 0.008481 | 0.355447 | 35,122 | 872 | 118 | 40.277523 | 0.819507 | 0.066767 | 0 | 0.152797 | 0 | 0.001364 | 0.073991 | 0.008847 | 0 | 0 | 0 | 0.001147 | 0.066849 | 1 | 0.068213 | false | 0.002729 | 0.060027 | 0.006821 | 0.177353 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |