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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
95128ff73c5b19e12278311e5737397a3c5afe40 | 6,943 | py | Python | infrastructure/cdn-in-a-box/ort/traffic_ops_ort/utils.py | hbeatty/incubator-trafficcontrol | 13ed991531778c60298eb8f532b2a4862f7cb67b | [
"MIT",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 1 | 2021-04-11T16:55:27.000Z | 2021-04-11T16:55:27.000Z | infrastructure/cdn-in-a-box/ort/traffic_ops_ort/utils.py | hbeatty/incubator-trafficcontrol | 13ed991531778c60298eb8f532b2a4862f7cb67b | [
"MIT",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | 3 | 2021-03-12T22:35:02.000Z | 2021-12-09T23:00:11.000Z | infrastructure/cdn-in-a-box/ort/traffic_ops_ort/utils.py | hbeatty/incubator-trafficcontrol | 13ed991531778c60298eb8f532b2a4862f7cb67b | [
"MIT",
"Apache-2.0",
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 38.572222 | 211 | 0.715109 | 1,039 | 6,943 | 4.766121 | 0.297401 | 0.015549 | 0.01454 | 0.010501 | 0.353998 | 0.340469 | 0.331583 | 0.318659 | 0.263732 | 0.246365 | 0 | 0.007644 | 0.152096 | 6,943 | 179 | 212 | 38.78771 | 0.833532 | 0.55826 | 0 | 0.230769 | 0 | 0 | 0.190796 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061538 | false | 0 | 0.061538 | 0 | 0.215385 | 0.015385 | 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 |
9514c9647a31509619c43b943b315ef73a1f481a | 1,192 | py | Python | tests/test_hw02.py | timm/sinless-swe | b331b9bf4d27fdf357ce8a5ce54f9858103fd64f | [
"MIT"
] | null | null | null | tests/test_hw02.py | timm/sinless-swe | b331b9bf4d27fdf357ce8a5ce54f9858103fd64f | [
"MIT"
] | null | null | null | tests/test_hw02.py | timm/sinless-swe | b331b9bf4d27fdf357ce8a5ce54f9858103fd64f | [
"MIT"
] | 2 | 2021-08-29T19:26:19.000Z | 2021-09-20T17:44:27.000Z | import os
import sys
sys.path.append(os.path.realpath(os.path.dirname(__file__)+"/.."))
from src.hw2 import csv_reader
def testCsvReader():
expectedResult = [['outlook', 'Temp', '?Humidity', 'windy', 'Wins+', 'Play-'],
['sunny', 85, 85, 'FALSE', 10, 20],
['sunny', 80, 90, ... | 45.846154 | 82 | 0.452181 | 135 | 1,192 | 3.918519 | 0.466667 | 0.045369 | 0.049149 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.132732 | 0.348993 | 1,192 | 25 | 83 | 47.68 | 0.548969 | 0 | 0 | 0 | 0 | 0 | 0.158557 | 0 | 0 | 0 | 0 | 0 | 0.041667 | 1 | 0.041667 | false | 0 | 0.125 | 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 |
9514f668db331c946ecbf660cfa6375f54adec5b | 2,462 | py | Python | hyperdeck.py | FlantasticDan/hyperdeck-replay | 5d5a62c9342c4e552e6a2d44dbe85cb3dba49f28 | [
"MIT"
] | 1 | 2021-09-06T15:02:34.000Z | 2021-09-06T15:02:34.000Z | hyperdeck.py | FlantasticDan/hyperdeck-replay | 5d5a62c9342c4e552e6a2d44dbe85cb3dba49f28 | [
"MIT"
] | null | null | null | hyperdeck.py | FlantasticDan/hyperdeck-replay | 5d5a62c9342c4e552e6a2d44dbe85cb3dba49f28 | [
"MIT"
] | null | null | null | from telnetlib import Telnet
from threading import Thread
class Hyperdeck:
def __init__(self, ip_address, id) -> None:
self.deck = Telnet(ip_address, 9993)
self.id = id
self.thread = Thread(target=self.listener)
self.thread.start()
def listener(self):
while True:
... | 34.676056 | 79 | 0.553209 | 283 | 2,462 | 4.731449 | 0.272085 | 0.123226 | 0.052278 | 0.067214 | 0.352502 | 0.300224 | 0.300224 | 0.180732 | 0.079164 | 0.079164 | 0 | 0.035308 | 0.321284 | 2,462 | 71 | 80 | 34.676056 | 0.766008 | 0 | 0 | 0.065574 | 0 | 0 | 0.240357 | 0.019488 | 0 | 0 | 0 | 0 | 0 | 1 | 0.098361 | false | 0 | 0.032787 | 0 | 0.42623 | 0.032787 | 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 |
951662a92b08b48e3775881d06dfdde6053f3486 | 453 | py | Python | leetcode/weekly154/balloons.py | jan25/code_sorted | f405fd0898f72eb3d5428f9e10aefb4a009d5089 | [
"Unlicense"
] | 2 | 2018-01-18T11:01:36.000Z | 2021-12-20T18:14:48.000Z | leetcode/weekly154/balloons.py | jan25/code_sorted | f405fd0898f72eb3d5428f9e10aefb4a009d5089 | [
"Unlicense"
] | null | null | null | leetcode/weekly154/balloons.py | jan25/code_sorted | f405fd0898f72eb3d5428f9e10aefb4a009d5089 | [
"Unlicense"
] | null | null | null | '''
https://leetcode.com/contest/weekly-contest-154/problems/maximum-number-of-balloons/
'''
class Solution:
def maxNumberOfBalloons(self, text: str) -> int:
m = {}
for c in text:
if c not in m: m[c] = 0
m[c] += 1
ans = len(text)
for c in 'lo':
if ... | 28.3125 | 84 | 0.479029 | 68 | 453 | 3.191176 | 0.514706 | 0.069124 | 0.082949 | 0.046083 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024911 | 0.379691 | 453 | 16 | 85 | 28.3125 | 0.747331 | 0.18543 | 0 | 0 | 0 | 0 | 0.019337 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.230769 | 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 |
9518a93eb1a74edc2a091b88692ed0896329bfe9 | 38,343 | py | Python | fraudbot.py | DocGrishka/tetstsss | 9e594333306e6ea8c13f0c81aa5ccb05bc7e9e5e | [
"MIT"
] | null | null | null | fraudbot.py | DocGrishka/tetstsss | 9e594333306e6ea8c13f0c81aa5ccb05bc7e9e5e | [
"MIT"
] | null | null | null | fraudbot.py | DocGrishka/tetstsss | 9e594333306e6ea8c13f0c81aa5ccb05bc7e9e5e | [
"MIT"
] | null | null | null | import discord
import sqlite3
import random
import requests
import pymorphy2
from itertools import product
# база, в которой будут храниться заработанные очки и статус отношений бота с пользователем - играет оно и во что,
# или просто общается
class Bnc:
def __init__(self):
random.seed(self.ge... | 68.469643 | 122 | 0.463683 | 3,732 | 38,343 | 4.673365 | 0.244373 | 0.028095 | 0.044665 | 0.054068 | 0.265237 | 0.216215 | 0.185712 | 0.143799 | 0.120005 | 0.098561 | 0 | 0.013575 | 0.458232 | 38,343 | 559 | 123 | 68.592129 | 0.826024 | 0.130976 | 0 | 0.206208 | 0 | 0.006652 | 0.235492 | 0.006978 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019956 | false | 0.004435 | 0.013304 | 0.004435 | 0.064302 | 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 |
9518dbb4f02a3d9f4f06a63e879638510aa4fe07 | 31,698 | py | Python | iocage/lib/ioc_json.py | project-fifo/iocage | 1b8669bc2119718dbea8f2707a4eb4c92197c0f0 | [
"BSD-2-Clause"
] | null | null | null | iocage/lib/ioc_json.py | project-fifo/iocage | 1b8669bc2119718dbea8f2707a4eb4c92197c0f0 | [
"BSD-2-Clause"
] | null | null | null | iocage/lib/ioc_json.py | project-fifo/iocage | 1b8669bc2119718dbea8f2707a4eb4c92197c0f0 | [
"BSD-2-Clause"
] | 1 | 2022-03-06T10:09:18.000Z | 2022-03-06T10:09:18.000Z | """Convert, load or write JSON."""
import json
import logging
import os
import re
import sys
from os import geteuid, path
from subprocess import CalledProcessError, PIPE, Popen, STDOUT, check_call
from iocage.lib.ioc_common import checkoutput, get_nested_key, open_atomic
def _get_pool_and_iocroot():
"""For inter... | 39.573034 | 81 | 0.430942 | 2,921 | 31,698 | 4.549127 | 0.157823 | 0.009783 | 0.005795 | 0.009633 | 0.33233 | 0.260686 | 0.244958 | 0.214253 | 0.185882 | 0.162854 | 0 | 0.008564 | 0.440059 | 31,698 | 800 | 82 | 39.6225 | 0.740098 | 0.054136 | 0 | 0.324238 | 0 | 0 | 0.173244 | 0.020419 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022472 | false | 0.00321 | 0.024077 | 0 | 0.077047 | 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 |
951a6328f58a32b162e3ef00d555a91633c30955 | 6,913 | py | Python | FP/V46_faraday_effect/plot.py | nsalewski/laboratory | e30d187a3f5227d5e228b0132c3de4d426d85ffb | [
"MIT"
] | 1 | 2021-05-05T23:00:28.000Z | 2021-05-05T23:00:28.000Z | FP/V46_faraday_effect/plot.py | nsalewski/laboratory | e30d187a3f5227d5e228b0132c3de4d426d85ffb | [
"MIT"
] | null | null | null | FP/V46_faraday_effect/plot.py | nsalewski/laboratory | e30d187a3f5227d5e228b0132c3de4d426d85ffb | [
"MIT"
] | null | null | null | #!usr/bin/env python3
#coding:utf8
import matplotlib.pyplot as plt
import numpy as np
from scipy.optimize import curve_fit
from astropy.io import ascii
from uncertainties import ufloat
import uncertainties.unumpy as unp
from modules.table import textable
import scipy.constants as const
import math as math
from modules.... | 43.20625 | 613 | 0.707363 | 1,254 | 6,913 | 3.796651 | 0.19378 | 0.012602 | 0.025415 | 0.036967 | 0.349926 | 0.299727 | 0.26192 | 0.227473 | 0.204789 | 0.174543 | 0 | 0.070606 | 0.057573 | 6,913 | 159 | 614 | 43.477987 | 0.660169 | 0.064516 | 0 | 0.153226 | 0 | 0.016129 | 0.31933 | 0.169741 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040323 | false | 0 | 0.080645 | 0.024194 | 0.16129 | 0.048387 | 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 |
951a6b980e66f06393b5c53d18d14db57345b12d | 2,256 | py | Python | hackzurich_py/test_hist_threshold.py | ejoebstl/hackzurich16 | 81a3b302050a4a464e2191c1d0912f8038c26ed9 | [
"MIT"
] | null | null | null | hackzurich_py/test_hist_threshold.py | ejoebstl/hackzurich16 | 81a3b302050a4a464e2191c1d0912f8038c26ed9 | [
"MIT"
] | null | null | null | hackzurich_py/test_hist_threshold.py | ejoebstl/hackzurich16 | 81a3b302050a4a464e2191c1d0912f8038c26ed9 | [
"MIT"
] | null | null | null | import os
import matplotlib.pyplot as plt
import numpy as np
import cv2
filedir = '/Users/gabrielfior/Dropbox/Hackzurich16/pupils_cutout/'
readbgr = filedir+'left_pupil232.bmp'
frame = plt.imread(readbgr)
white=plt.imread('/Users/gabrielfior/Dropbox/Hackzurich16/pupils_bw/right_pupil61.bmp')
black=plt.imread('/Users/... | 23.747368 | 88 | 0.626773 | 382 | 2,256 | 3.649215 | 0.246073 | 0.012912 | 0.030129 | 0.075323 | 0.471306 | 0.424677 | 0.315638 | 0.315638 | 0.315638 | 0.149928 | 0 | 0.060381 | 0.163121 | 2,256 | 94 | 89 | 24 | 0.677966 | 0.080674 | 0 | 0.362319 | 0 | 0 | 0.111816 | 0.092285 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.057971 | 0 | 0.057971 | 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 |
9521b11ea24c3b1975d9331d56438810a026e0f3 | 14,298 | py | Python | tensorflow_federated/python/research/baselines/emnist/models.py | khramtsova/federated | 88b3ca65204a9922696ccefd774ece03ebf5cc8e | [
"Apache-2.0"
] | 1 | 2019-10-10T06:19:52.000Z | 2019-10-10T06:19:52.000Z | tensorflow_federated/python/research/baselines/emnist/models.py | khramtsova/federated | 88b3ca65204a9922696ccefd774ece03ebf5cc8e | [
"Apache-2.0"
] | null | null | null | tensorflow_federated/python/research/baselines/emnist/models.py | khramtsova/federated | 88b3ca65204a9922696ccefd774ece03ebf5cc8e | [
"Apache-2.0"
] | 2 | 2019-10-10T06:19:41.000Z | 2021-01-28T03:06:55.000Z | # Lint as: python3
# Copyright 2019, The TensorFlow Federated 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 ... | 34.873171 | 80 | 0.665268 | 1,795 | 14,298 | 4.577716 | 0.159889 | 0.040039 | 0.056955 | 0.027261 | 0.632226 | 0.574054 | 0.531703 | 0.504077 | 0.462212 | 0.450164 | 0 | 0.036658 | 0.234928 | 14,298 | 409 | 81 | 34.958435 | 0.714508 | 0.574486 | 0 | 0.558011 | 0 | 0 | 0.037308 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038674 | false | 0 | 0.01105 | 0 | 0.088398 | 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 |
9522282432e0e76392916180e81134140fe248cd | 893 | py | Python | iterdeciser/loader.py | mpavlase/responses-form-evaluator | d0066a44c078ece458ae44577afc207583116638 | [
"MIT"
] | 1 | 2020-02-19T00:39:10.000Z | 2020-02-19T00:39:10.000Z | iterdeciser/loader.py | mpavlase/responses-form-evaluator | d0066a44c078ece458ae44577afc207583116638 | [
"MIT"
] | null | null | null | iterdeciser/loader.py | mpavlase/responses-form-evaluator | d0066a44c078ece458ae44577afc207583116638 | [
"MIT"
] | null | null | null | import csv
from iterdeciser import models
def data_loader(filename):
with open(filename, newline='') as fd:
reader = csv.reader(fd, delimiter=',', quotechar='"')
# remove all previous entries
models.Answer.objects.all().delete()
models.Question.objects.all().delete()
model... | 27.060606 | 61 | 0.555431 | 89 | 893 | 5.561798 | 0.438202 | 0.060606 | 0.09697 | 0.088889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.339306 | 893 | 32 | 62 | 27.90625 | 0.838983 | 0.030235 | 0 | 0 | 0 | 0 | 0.002315 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.086957 | 0 | 0.130435 | 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 |
95258effa24ad7ea4b397bc2159a4af1349e68bd | 6,146 | py | Python | adapter.py | jain-harshil/Adapter-BERT | fd74ed0eea21b13034f9a834244191846de6b8d5 | [
"Apache-2.0"
] | 4 | 2021-03-14T23:02:14.000Z | 2022-02-14T10:10:12.000Z | adapter.py | jain-harshil/Adapter-BERT | fd74ed0eea21b13034f9a834244191846de6b8d5 | [
"Apache-2.0"
] | null | null | null | adapter.py | jain-harshil/Adapter-BERT | fd74ed0eea21b13034f9a834244191846de6b8d5 | [
"Apache-2.0"
] | 2 | 2020-10-12T09:04:55.000Z | 2021-11-13T03:54:55.000Z | import torch
from torch import nn
from transformers.modeling_bert import BertIntermediate, BertOutput, BertLayer, BertEncoder, BertModel, BertForSequenceClassification
def get_nonlin_func(nonlin):
if nonlin == "tanh":
return torch.tanh
elif nonlin == "relu":
return torch.relu
elif nonlin =... | 35.94152 | 134 | 0.678653 | 704 | 6,146 | 5.606534 | 0.208807 | 0.057765 | 0.025082 | 0.038764 | 0.422346 | 0.365087 | 0.31619 | 0.285787 | 0.211553 | 0.186724 | 0 | 0.003399 | 0.234136 | 6,146 | 171 | 135 | 35.94152 | 0.835139 | 0.04328 | 0 | 0.267717 | 0 | 0 | 0.007512 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.141732 | false | 0 | 0.023622 | 0 | 0.299213 | 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 |
95277c92e91076992bcacdf611aab098dd6f15f0 | 3,837 | py | Python | models/pixelpick/networks/deeplab.py | martafdezmAM/lessen_supervision | 630dfea2e396b9b6f61a3ad6786bb3ee169da3fd | [
"MIT"
] | 49 | 2021-04-08T07:45:13.000Z | 2022-03-08T03:20:30.000Z | networks/deeplab.py | leiyu1980/PixelPick | f0ae7d35f62c1dda70f5bff1689177a513ab6259 | [
"MIT"
] | 5 | 2021-04-21T02:13:47.000Z | 2022-03-30T12:06:36.000Z | networks/deeplab.py | leiyu1980/PixelPick | f0ae7d35f62c1dda70f5bff1689177a513ab6259 | [
"MIT"
] | 15 | 2021-04-14T01:15:06.000Z | 2022-03-25T05:05:36.000Z | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
from .aspp import ASPP
from .decoders import SegmentHead
from .mobilenet_v2 import MobileNetV2
class DeepLab(nn.Module):
def __init__(self,
args,
backbone='mobilenet',
output_stride=16... | 37.990099 | 111 | 0.584832 | 479 | 3,837 | 4.473904 | 0.265136 | 0.041064 | 0.027998 | 0.037331 | 0.299113 | 0.258049 | 0.258049 | 0.218385 | 0.218385 | 0.218385 | 0 | 0.021421 | 0.306489 | 3,837 | 101 | 112 | 37.990099 | 0.783916 | 0.063852 | 0 | 0.213333 | 0 | 0 | 0.029346 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12 | false | 0 | 0.093333 | 0 | 0.24 | 0.026667 | 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 |
95293f8eba3bae03a2ebdf267114cb3e46a7731e | 2,468 | py | Python | readthedocs/worker.py | yarons/readthedocs.org | 05c99a0adc222a1d48654d305b492ec142c3026b | [
"MIT"
] | 4,054 | 2015-01-01T00:58:07.000Z | 2019-06-28T05:50:49.000Z | readthedocs/worker.py | yarons/readthedocs.org | 05c99a0adc222a1d48654d305b492ec142c3026b | [
"MIT"
] | 4,282 | 2015-01-01T21:38:49.000Z | 2019-06-28T15:41:00.000Z | readthedocs/worker.py | yarons/readthedocs.org | 05c99a0adc222a1d48654d305b492ec142c3026b | [
"MIT"
] | 3,224 | 2015-01-01T07:38:45.000Z | 2019-06-28T09:19:10.000Z | """Celery worker application instantiation."""
import os
from celery import Celery
from django.conf import settings
from django_structlog.celery.steps import DjangoStructLogInitStep
def create_application():
"""Create a Celery application using Django settings."""
os.environ.setdefault(
'DJANGO_SET... | 32.473684 | 77 | 0.715559 | 333 | 2,468 | 5.246246 | 0.423423 | 0.048082 | 0.02862 | 0.017172 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003603 | 0.212723 | 2,468 | 75 | 78 | 32.906667 | 0.895522 | 0.640194 | 0 | 0.105263 | 0 | 0 | 0.095745 | 0.06117 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.210526 | 0 | 0.421053 | 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 |
952e3eae671c4397df0072361e08791772e8f4d1 | 5,401 | py | Python | src/lib/Server/Reports/settings.py | pcmxgti/bcfg2 | 33aaf9c6bbeb0d20eef084b1347a0fce42086663 | [
"mpich2"
] | null | null | null | src/lib/Server/Reports/settings.py | pcmxgti/bcfg2 | 33aaf9c6bbeb0d20eef084b1347a0fce42086663 | [
"mpich2"
] | null | null | null | src/lib/Server/Reports/settings.py | pcmxgti/bcfg2 | 33aaf9c6bbeb0d20eef084b1347a0fce42086663 | [
"mpich2"
] | null | null | null | import django
import sys
# Compatibility import
from Bcfg2.Bcfg2Py3k import ConfigParser
# Django settings for bcfg2 reports project.
c = ConfigParser.ConfigParser()
if len(c.read(['/etc/bcfg2.conf', '/etc/bcfg2-web.conf'])) == 0:
raise ImportError("Please check that bcfg2.conf or bcfg2-web.conf exists "
... | 33.339506 | 79 | 0.695797 | 682 | 5,401 | 5.394428 | 0.36217 | 0.042403 | 0.041587 | 0.066051 | 0.159011 | 0.135635 | 0.135635 | 0.135635 | 0.135635 | 0.135635 | 0 | 0.010925 | 0.169598 | 5,401 | 161 | 80 | 33.546584 | 0.809365 | 0.210887 | 0 | 0.196429 | 0 | 0.008929 | 0.446412 | 0.241265 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.017857 | 0.071429 | 0 | 0.071429 | 0.008929 | 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 |
9532e0a3625fbfa97cee2a3c1c1ac08b02e54bbb | 1,297 | py | Python | legacy/lua_data/lua_data_converter.py | kshshkim/factorioCalcPy | 2a7c6ca567a3bf0d2b19f3cf0bc05274f83d4205 | [
"MIT"
] | 1 | 2021-09-21T01:42:05.000Z | 2021-09-21T01:42:05.000Z | legacy/lua_data/lua_data_converter.py | kshshkim/factorioCalcPy | 2a7c6ca567a3bf0d2b19f3cf0bc05274f83d4205 | [
"MIT"
] | null | null | null | legacy/lua_data/lua_data_converter.py | kshshkim/factorioCalcPy | 2a7c6ca567a3bf0d2b19f3cf0bc05274f83d4205 | [
"MIT"
] | null | null | null | from slpp import slpp as lua
import json
class LuaConverter:
def parse(self, luafile):
with open(luafile, 'r') as to_convert:
to_convert = str(to_convert.read())
to_convert = to_convert.replace('data:extend(\n{\n {', '').replace('})\n', '') # slpp가 알아먹을수 있는 형태로 가공
to_convert ... | 36.027778 | 112 | 0.591365 | 168 | 1,297 | 4.416667 | 0.458333 | 0.097035 | 0.044474 | 0.072776 | 0.067385 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001038 | 0.257517 | 1,297 | 35 | 113 | 37.057143 | 0.76947 | 0.085582 | 0 | 0 | 0 | 0 | 0.106211 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.086957 | 0 | 0.26087 | 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 |
9533f3d3d51a5a32d60d0e2337d926980cff5177 | 839 | py | Python | odette/scripts/collect_iso_codes.py | mdelhoneux/oDETTE | 1b09bb3a950eb847c409de48c466d6559a010bd8 | [
"Unlicense"
] | 2 | 2017-04-18T13:31:37.000Z | 2017-07-12T21:00:10.000Z | odette/scripts/collect_iso_codes.py | mdelhoneux/oDETTE | 1b09bb3a950eb847c409de48c466d6559a010bd8 | [
"Unlicense"
] | null | null | null | odette/scripts/collect_iso_codes.py | mdelhoneux/oDETTE | 1b09bb3a950eb847c409de48c466d6559a010bd8 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
#==============================================================================
#author :Miryam de Lhoneux
#email :miryam.de_lhoneux@lingfil.uu.se
#date :2015/12/30
#version :1.0
#description :collect iso codes in UD directories
#usage :python scripts/collect_iso_codes.py
#Python version ... | 28.931034 | 79 | 0.54112 | 107 | 839 | 4.158879 | 0.560748 | 0.053933 | 0.067416 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025496 | 0.158522 | 839 | 28 | 80 | 29.964286 | 0.604816 | 0.533969 | 0 | 0 | 0 | 0 | 0.026316 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.230769 | 0 | 0.230769 | 0.230769 | 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 |
20f86d70eb09a90cb1a4b918de25a5f97e226d8c | 5,696 | py | Python | airtest/core/ios/mjpeg_cap.py | Cache-Cloud/Airtest | 4f831977a32c2b120dee631631c1154407b34d32 | [
"Apache-2.0"
] | null | null | null | airtest/core/ios/mjpeg_cap.py | Cache-Cloud/Airtest | 4f831977a32c2b120dee631631c1154407b34d32 | [
"Apache-2.0"
] | null | null | null | airtest/core/ios/mjpeg_cap.py | Cache-Cloud/Airtest | 4f831977a32c2b120dee631631c1154407b34d32 | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import numpy
import socket
import traceback
from airtest import aircv
from airtest.utils.snippet import reg_cleanup, on_method_ready, ready_method
from airtest.core.ios.constant import ROTATION_MODE, DEFAULT_MJPEG_PORT
from airtest.utils.logger import get_logger
from airte... | 33.309942 | 119 | 0.607619 | 673 | 5,696 | 4.945022 | 0.300149 | 0.039964 | 0.022536 | 0.01262 | 0.076022 | 0.059796 | 0.042969 | 0.025841 | 0.025841 | 0 | 0 | 0.011677 | 0.293364 | 5,696 | 171 | 120 | 33.309942 | 0.815155 | 0.102001 | 0 | 0.196721 | 0 | 0.008197 | 0.054135 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.106557 | false | 0 | 0.081967 | 0.016393 | 0.286885 | 0.016393 | 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 |
20fa7eb3a7346661e1dcc5a7aa474c9102b7df4b | 3,342 | py | Python | happy.py | xiaoqcn/LearnLinuxViaPython | 3c591471bbceefab44161aedb8ff67c2009b8ec0 | [
"Apache-2.0"
] | null | null | null | happy.py | xiaoqcn/LearnLinuxViaPython | 3c591471bbceefab44161aedb8ff67c2009b8ec0 | [
"Apache-2.0"
] | null | null | null | happy.py | xiaoqcn/LearnLinuxViaPython | 3c591471bbceefab44161aedb8ff67c2009b8ec0 | [
"Apache-2.0"
] | null | null | null | import time
import datetime
import os
import sys
import atexit
import signal
from multiprocessing import Pool
from threading import Thread
class HappyScrum:
def __init__(
self,
pid_path,
pool_size=4,
busy_wait=90,
idle_wait=300,
say_hi_wait=1800,
is_debug=Fa... | 28.084034 | 92 | 0.529623 | 410 | 3,342 | 4.104878 | 0.282927 | 0.033274 | 0.026738 | 0.028521 | 0.212121 | 0.134284 | 0.091503 | 0.091503 | 0.053476 | 0 | 0 | 0.012099 | 0.356972 | 3,342 | 118 | 93 | 28.322034 | 0.771056 | 0 | 0 | 0.116505 | 0 | 0.019417 | 0.090963 | 0.022142 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07767 | false | 0.009709 | 0.07767 | 0 | 0.174757 | 0.058252 | 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 |
20fa9357a93d7d86c13beaf0a8a806393d553ed4 | 526 | py | Python | functional_tests/test_gallery.py | atypicalrobot/igor_personal_site | 8fd788bc43884792b786abeb34e9fec9e79492f1 | [
"MIT"
] | null | null | null | functional_tests/test_gallery.py | atypicalrobot/igor_personal_site | 8fd788bc43884792b786abeb34e9fec9e79492f1 | [
"MIT"
] | null | null | null | functional_tests/test_gallery.py | atypicalrobot/igor_personal_site | 8fd788bc43884792b786abeb34e9fec9e79492f1 | [
"MIT"
] | null | null | null | from .base import *
class GalleryPageTests(SeleniumTestCase):
def test_gallery_items(self):
browser = self.browser
browser.get('http://127.0.0.1:8000/gallery/')
assert "we don't have any Galleries" not in browser.page_source
def test_gallery_images(self):
browser = self.b... | 29.222222 | 71 | 0.659696 | 72 | 526 | 4.680556 | 0.569444 | 0.130564 | 0.083086 | 0.130564 | 0.445104 | 0.31454 | 0.31454 | 0.31454 | 0.31454 | 0.31454 | 0 | 0.049261 | 0.228137 | 526 | 18 | 72 | 29.222222 | 0.780788 | 0 | 0 | 0.333333 | 0 | 0 | 0.214421 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.166667 | false | 0 | 0.083333 | 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 |
20fb6d839493dfeb4698c4e202a1cd7ca0226dba | 784 | py | Python | plates.py | winksaville/cq-plates | fb175522fae991a8d88cdf26afad273a4b8b9098 | [
"MIT"
] | null | null | null | plates.py | winksaville/cq-plates | fb175522fae991a8d88cdf26afad273a4b8b9098 | [
"MIT"
] | null | null | null | plates.py | winksaville/cq-plates | fb175522fae991a8d88cdf26afad273a4b8b9098 | [
"MIT"
] | null | null | null | import cadquery as cq # type: ignore
nd = 0.4 # Nozzle Diameter
length = 50
width = 20
gap = 5
p1 = (
cq.Workplane("XY", origin=(-(width + gap), 0, 0))
.rect(width, length)
.extrude(nd/2)
)
#show_object(p1)
p2 = (
cq.Workplane("XY", origin=(0, 0, 0))
.rect(width, length)
.extrude(nd)
)
#sho... | 21.189189 | 68 | 0.626276 | 118 | 784 | 4.127119 | 0.474576 | 0.016427 | 0.080082 | 0.117043 | 0.427105 | 0.316222 | 0.316222 | 0.262834 | 0.262834 | 0.262834 | 0 | 0.044944 | 0.205357 | 784 | 36 | 69 | 21.777778 | 0.736758 | 0.392857 | 0 | 0.136364 | 0 | 0 | 0.012903 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.045455 | 0 | 0.045455 | 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 |
20fe1adaa92216baa26b834b33664cd9c78ae67b | 2,430 | py | Python | tests/tonalmodel_tests/test_chromatic_scale.py | dpazel/music_rep | 2f9de9b98b13df98f1a0a2120b84714725ce527e | [
"MIT"
] | 1 | 2021-05-06T19:45:54.000Z | 2021-05-06T19:45:54.000Z | tests/tonalmodel_tests/test_chromatic_scale.py | dpazel/music_rep | 2f9de9b98b13df98f1a0a2120b84714725ce527e | [
"MIT"
] | null | null | null | tests/tonalmodel_tests/test_chromatic_scale.py | dpazel/music_rep | 2f9de9b98b13df98f1a0a2120b84714725ce527e | [
"MIT"
] | null | null | null | import unittest
import logging
from tonalmodel.chromatic_scale import ChromaticScale
class TestChromaticScale(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def test_frequencies(self):
assert is_close(ChromaticScale.get_frequency((4, 9)), 440.0), \
... | 38.571429 | 117 | 0.60535 | 317 | 2,430 | 4.44164 | 0.205047 | 0.011364 | 0.085227 | 0.144176 | 0.481534 | 0.365767 | 0.303267 | 0.246449 | 0.183239 | 0.183239 | 0 | 0.072799 | 0.270782 | 2,430 | 62 | 118 | 39.193548 | 0.721783 | 0 | 0 | 0.044444 | 0 | 0 | 0.068724 | 0 | 0 | 0 | 0 | 0 | 0.155556 | 1 | 0.2 | false | 0.044444 | 0.066667 | 0.044444 | 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 |
20feae08b04eeba7945d6473eedc0730006c75f9 | 3,093 | py | Python | beeseyes/pycode/sampling.py | sosi-org/scientific-code | 395bae0f95fbccb936dc01145c797dc22a1c99a0 | [
"Unlicense"
] | null | null | null | beeseyes/pycode/sampling.py | sosi-org/scientific-code | 395bae0f95fbccb936dc01145c797dc22a1c99a0 | [
"Unlicense"
] | null | null | null | beeseyes/pycode/sampling.py | sosi-org/scientific-code | 395bae0f95fbccb936dc01145c797dc22a1c99a0 | [
"Unlicense"
] | null | null | null | import numpy as np
import math
import polygon_sampler
nan_rgb = np.zeros((3,)) + np.NaN
# sampler session: texture, W_,H_,W,H
'''
Used by `sample_colors_squarepixels()`
Samples a single point.
Using square pixels.
[0, ... ,W-1] (incl.)
By mapping [0,1) -> [0,W) (int)
(mapping u,v)
'''
def sample1(um,vm, texture, W_... | 25.991597 | 154 | 0.6172 | 476 | 3,093 | 3.890756 | 0.289916 | 0.010799 | 0.041577 | 0.010799 | 0.390929 | 0.333693 | 0.187905 | 0.187905 | 0.176026 | 0.141469 | 0 | 0.024464 | 0.246686 | 3,093 | 118 | 155 | 26.211864 | 0.770386 | 0.176528 | 0 | 0.553571 | 0 | 0 | 0.00418 | 0 | 0 | 0 | 0 | 0 | 0.017857 | 1 | 0.071429 | false | 0 | 0.053571 | 0 | 0.214286 | 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 |
1f00bbb4cb26e6889fa5994c748463440e235c8e | 654 | py | Python | migrations/versions/d805931e1abd_add_topics.py | cyberinnovationhub/lunch-roulette | 0b0b933188c095b6e3778ee7de9d4e21cd7caae5 | [
"BSD-3-Clause"
] | 4 | 2020-12-03T19:24:20.000Z | 2022-03-16T13:45:11.000Z | migrations/versions/d805931e1abd_add_topics.py | cyberinnovationhub/lunch-roulette | 0b0b933188c095b6e3778ee7de9d4e21cd7caae5 | [
"BSD-3-Clause"
] | 3 | 2020-08-24T08:05:11.000Z | 2021-11-07T06:14:36.000Z | migrations/versions/d805931e1abd_add_topics.py | cyberinnovationhub/lunch-roulette | 0b0b933188c095b6e3778ee7de9d4e21cd7caae5 | [
"BSD-3-Clause"
] | 3 | 2020-08-27T13:58:53.000Z | 2022-03-09T14:09:06.000Z | """add topics
Revision ID: d805931e1abd
Revises: 9430b6bc8d1a
Create Date: 2018-09-18 15:11:45.922659
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'd805931e1abd'
down_revision = '9430b6bc8d1a'
branch_labels = None
depends_on = None
def upgrade():
# ###... | 22.551724 | 84 | 0.689602 | 82 | 654 | 5.439024 | 0.597561 | 0.060538 | 0.09417 | 0.103139 | 0.197309 | 0.197309 | 0.197309 | 0.197309 | 0 | 0 | 0 | 0.094444 | 0.174312 | 654 | 28 | 85 | 23.357143 | 0.731481 | 0.446483 | 0 | 0 | 0 | 0 | 0.135385 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 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 |
1f0432871a66053bea5e2a19da56fe363bea9cb9 | 78,296 | py | Python | allesfitter/basement.py | pierfra-ro/allesfitter | a6a885aaeb3253fec0d924ef3b45e8b7c473b181 | [
"MIT"
] | null | null | null | allesfitter/basement.py | pierfra-ro/allesfitter | a6a885aaeb3253fec0d924ef3b45e8b7c473b181 | [
"MIT"
] | null | null | null | allesfitter/basement.py | pierfra-ro/allesfitter | a6a885aaeb3253fec0d924ef3b45e8b7c473b181 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 5 00:17:06 2018
@author:
Dr. Maximilian N. Günther
European Space Agency (ESA)
European Space Research and Technology Centre (ESTEC)
Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands
Email: maximilian.guenther@esa.int
GitHub: mnguenther
Twitter: m_n... | 58.04003 | 224 | 0.481008 | 8,322 | 78,296 | 4.333694 | 0.094448 | 0.099154 | 0.035325 | 0.016692 | 0.626314 | 0.562041 | 0.460585 | 0.369721 | 0.310162 | 0.259864 | 0 | 0.010743 | 0.293821 | 78,296 | 1,349 | 225 | 58.04003 | 0.641533 | 0.247829 | 0 | 0.226902 | 0 | 0.019022 | 0.212424 | 0.0203 | 0 | 0 | 0 | 0.001483 | 0 | 1 | 0.021739 | false | 0.006793 | 0.019022 | 0.001359 | 0.05163 | 0.024457 | 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 |
1f08e87bb685c5de27a28a6c0f75d6ba70a73d31 | 3,334 | py | Python | schematron/ssk.py | SarahTV/SSK | ac7f5b7b1f1c02aefcb706abd80178f86c216cf7 | [
"CC-BY-4.0"
] | null | null | null | schematron/ssk.py | SarahTV/SSK | ac7f5b7b1f1c02aefcb706abd80178f86c216cf7 | [
"CC-BY-4.0"
] | null | null | null | schematron/ssk.py | SarahTV/SSK | ac7f5b7b1f1c02aefcb706abd80178f86c216cf7 | [
"CC-BY-4.0"
] | null | null | null | #coding: utf-8
import re
import os
from lxml import etree as ET
from bs4 import BeautifulSoup
import csv
class schSSK:
def create_directory(self, directory):
"""Create a new directory.
:param directory: path to new directory
:type directory: string
"""
if not os.path.exis... | 35.468085 | 96 | 0.54889 | 344 | 3,334 | 5.287791 | 0.421512 | 0.024739 | 0.016493 | 0.018142 | 0.06707 | 0.06707 | 0.06707 | 0.06707 | 0.057174 | 0.057174 | 0 | 0.015071 | 0.323335 | 3,334 | 94 | 97 | 35.468085 | 0.791223 | 0.113977 | 0 | 0.029412 | 0 | 0 | 0.064494 | 0.007204 | 0 | 0 | 0 | 0 | 0.044118 | 1 | 0.102941 | false | 0 | 0.073529 | 0 | 0.264706 | 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 |
1f098e212077f84f0f80919da194e6c3605bd4fb | 14,798 | py | Python | src/01_eigenprogression_transform.py | lostanlen/nemisig2018 | 2868da84c938ff6db98936d81a830b838eef1131 | [
"MIT"
] | 1 | 2018-09-27T09:07:05.000Z | 2018-09-27T09:07:05.000Z | src/01_eigenprogression_transform.py | lostanlen/nemisig2018 | 2868da84c938ff6db98936d81a830b838eef1131 | [
"MIT"
] | null | null | null | src/01_eigenprogression_transform.py | lostanlen/nemisig2018 | 2868da84c938ff6db98936d81a830b838eef1131 | [
"MIT"
] | null | null | null | import localmodule
import datetime
import h5py
import math
import music21 as m21
import numpy as np
import os
import scipy
import scipy.linalg
import sys
import time
# Parse arguments
args = sys.argv[1:]
composer_str = args[0]
track_str = args[1]
# Define constants.
J_tm = 8
N = 2**10
n_octaves = 8
midi_octave_off... | 34.334107 | 86 | 0.68462 | 2,086 | 14,798 | 4.642378 | 0.146692 | 0.030669 | 0.018174 | 0.02974 | 0.356981 | 0.278604 | 0.22594 | 0.185977 | 0.170487 | 0.140335 | 0 | 0.027031 | 0.157521 | 14,798 | 430 | 87 | 34.413953 | 0.749739 | 0.188607 | 0 | 0.156364 | 0 | 0 | 0.04997 | 0.008864 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.04 | 0 | 0.04 | 0.069091 | 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 |
1f09cb31eceadc76ff93699e82ee70df317cae82 | 983 | py | Python | src/spaceone/monitoring/manager/plugin_manager.py | jean1042/monitoring | 0585a1ea52ec13285eaca81cc5b19fa3f7a1fba4 | [
"Apache-2.0"
] | 5 | 2020-06-04T23:01:30.000Z | 2020-09-09T08:58:51.000Z | src/spaceone/monitoring/manager/plugin_manager.py | jean1042/monitoring | 0585a1ea52ec13285eaca81cc5b19fa3f7a1fba4 | [
"Apache-2.0"
] | 9 | 2022-02-10T00:58:28.000Z | 2022-03-23T11:12:47.000Z | src/spaceone/monitoring/manager/plugin_manager.py | jean1042/monitoring | 0585a1ea52ec13285eaca81cc5b19fa3f7a1fba4 | [
"Apache-2.0"
] | 7 | 2020-06-10T01:56:35.000Z | 2021-12-02T05:36:21.000Z | import logging
from spaceone.core.manager import BaseManager
from spaceone.core.connector.space_connector import SpaceConnector
_LOGGER = logging.getLogger(__name__)
class PluginManager(BaseManager):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.plugin_connector: S... | 35.107143 | 110 | 0.666328 | 100 | 983 | 6.2 | 0.37 | 0.148387 | 0.051613 | 0.106452 | 0.254839 | 0.254839 | 0.254839 | 0.254839 | 0.254839 | 0.254839 | 0 | 0 | 0.220753 | 983 | 27 | 111 | 36.407407 | 0.809399 | 0 | 0 | 0 | 0 | 0 | 0.160732 | 0.02645 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.15 | 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 |
1f0a14df894f78200ec160dd56d1194d86c6d8d9 | 1,107 | py | Python | Segmentation/bins/hist_label_portarit.py | ttthomaschan/DeepcvLib | 18f7728559136a3c5c8ad54666788ea771e95b16 | [
"MIT"
] | null | null | null | Segmentation/bins/hist_label_portarit.py | ttthomaschan/DeepcvLib | 18f7728559136a3c5c8ad54666788ea771e95b16 | [
"MIT"
] | null | null | null | Segmentation/bins/hist_label_portarit.py | ttthomaschan/DeepcvLib | 18f7728559136a3c5c8ad54666788ea771e95b16 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
# @file name : hist_label_portrait.py
# @author : JLChen
# @date : 2020-03-11
# @brief : 统计各类别数量
"""
import numpy as np
import os
import matplotlib.pyplot as plt
import pylab as pl
import cv2
def cal_cls_nums(path, t=0.78):
label_img = cv2.imread(path)
label_img = c... | 26.357143 | 100 | 0.67299 | 165 | 1,107 | 4.284848 | 0.563636 | 0.113154 | 0.046676 | 0.067893 | 0.048091 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025959 | 0.199639 | 1,107 | 41 | 101 | 27 | 0.772009 | 0.270099 | 0 | 0 | 0 | 0 | 0.084489 | 0.061791 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.238095 | 0 | 0.333333 | 0.047619 | 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 |
1f0a726404191dd0a8ef9e2cd1c7c33d9b482f77 | 7,924 | py | Python | yoapi/contexts.py | YoApp/yo-api | a162e51804ab91724cc7ad3e7608410329da6789 | [
"MIT"
] | 1 | 2021-12-17T03:25:34.000Z | 2021-12-17T03:25:34.000Z | yoapi/contexts.py | YoApp/yo-api | a162e51804ab91724cc7ad3e7608410329da6789 | [
"MIT"
] | null | null | null | yoapi/contexts.py | YoApp/yo-api | a162e51804ab91724cc7ad3e7608410329da6789 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Client context module."""
import pytz
import time
from flask import current_app
from datetime import datetime, timedelta
from mongoengine import DoesNotExist
from .ab_test import get_enrolled_experiments
from .core import cache
from .errors import APIError
from .helpers import assert_vali... | 32.342857 | 114 | 0.617365 | 948 | 7,924 | 4.931435 | 0.205696 | 0.041925 | 0.023957 | 0.032941 | 0.224813 | 0.149947 | 0.129198 | 0.11893 | 0.085134 | 0.085134 | 0 | 0.004569 | 0.281928 | 7,924 | 244 | 115 | 32.47541 | 0.817047 | 0.03319 | 0 | 0.243386 | 0 | 0 | 0.08802 | 0.005885 | 0 | 0 | 0 | 0 | 0.010582 | 1 | 0.042328 | false | 0.005291 | 0.074074 | 0.005291 | 0.190476 | 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 |
1f0acc1fb7d824f01253e231a80bcc928842ee31 | 4,180 | py | Python | coyote_framework/config/abstract_config.py | vaibhavrastogi1988/python_testing_framework | 583a2286479ed0ccda309c866a403dc92fa1bb3b | [
"MIT"
] | null | null | null | coyote_framework/config/abstract_config.py | vaibhavrastogi1988/python_testing_framework | 583a2286479ed0ccda309c866a403dc92fa1bb3b | [
"MIT"
] | null | null | null | coyote_framework/config/abstract_config.py | vaibhavrastogi1988/python_testing_framework | 583a2286479ed0ccda309c866a403dc92fa1bb3b | [
"MIT"
] | null | null | null | from configparser import ConfigParser
import json
import fnmatch
import os
__author__ = 'justin@shapeways.com'
TEST_RUN_SETTING_CONFIG = 'TEST_RUN_SETTING_CONFIG'
confg_dict = {}
class NullConfigAttribute(object):
def __init__(self, description, default_value=None):
self.description = description
... | 35.726496 | 134 | 0.617943 | 502 | 4,180 | 4.982072 | 0.338645 | 0.02399 | 0.027989 | 0.039984 | 0.065574 | 0.027989 | 0 | 0 | 0 | 0 | 0 | 0.001366 | 0.299282 | 4,180 | 116 | 135 | 36.034483 | 0.852509 | 0.326794 | 0 | 0.064516 | 0 | 0 | 0.028701 | 0.008686 | 0 | 0 | 0 | 0 | 0 | 1 | 0.145161 | false | 0.016129 | 0.064516 | 0.064516 | 0.33871 | 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 |
1f0d5b67c4f91743453ccb056ca36b102ec5a878 | 6,485 | py | Python | src/main.py | matthewb96/NetSpeedGraphs | 51e6f6d4f24845e50f34ed56452a4fa454db189b | [
"MIT"
] | null | null | null | src/main.py | matthewb96/NetSpeedGraphs | 51e6f6d4f24845e50f34ed56452a4fa454db189b | [
"MIT"
] | 4 | 2021-06-08T21:23:15.000Z | 2022-03-12T00:29:23.000Z | src/main.py | matthewb96/NetSpeedGraphs | 51e6f6d4f24845e50f34ed56452a4fa454db189b | [
"MIT"
] | null | null | null | """
Main module for running NetSpeedGraphs.
"""
##### IMPORTS #####
# Standard imports
from pathlib import Path
from datetime import datetime, timedelta
from argparse import ArgumentParser
# Third party imports
import speedtest
import numpy as np
import pandas as pd
from bokeh.plotting import figure, output_file,... | 33.25641 | 84 | 0.612336 | 782 | 6,485 | 5.011509 | 0.292839 | 0.014289 | 0.01531 | 0.018372 | 0.136259 | 0.126563 | 0.126563 | 0.126563 | 0.094922 | 0.094922 | 0 | 0.003417 | 0.278026 | 6,485 | 194 | 85 | 33.427835 | 0.833618 | 0.369776 | 0 | 0.035714 | 0 | 0 | 0.138667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.119048 | 0 | 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 |
1f0da5b719cc8ed4639299b06648e3a470d196da | 7,478 | py | Python | tests/planar_tests/test_region_in_multiregion.py | lycantropos/orient | 01f4f67a717c5ee911d83756d455cc35e85ce817 | [
"MIT"
] | 2 | 2020-11-01T00:25:09.000Z | 2021-04-07T10:13:59.000Z | tests/planar_tests/test_region_in_multiregion.py | lycantropos/orient | 01f4f67a717c5ee911d83756d455cc35e85ce817 | [
"MIT"
] | null | null | null | tests/planar_tests/test_region_in_multiregion.py | lycantropos/orient | 01f4f67a717c5ee911d83756d455cc35e85ce817 | [
"MIT"
] | null | null | null | from typing import Tuple
from ground.base import Relation
from hypothesis import given
from orient.hints import (Multiregion,
Region)
from orient.planar import (contour_in_multiregion,
region_in_multiregion,
region_in_region)
from tests.u... | 47.329114 | 79 | 0.622626 | 724 | 7,478 | 6.191989 | 0.093923 | 0.13607 | 0.139193 | 0.071827 | 0.725184 | 0.596253 | 0.517734 | 0.448807 | 0.401963 | 0.364711 | 0 | 0 | 0.33418 | 7,478 | 157 | 80 | 47.630573 | 0.900382 | 0 | 0 | 0.195489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.195489 | 1 | 0.045113 | false | 0 | 0.052632 | 0 | 0.097744 | 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 |
1f0ed2213b59cdb0f244b760bfd1759ed4538c6a | 11,676 | py | Python | gui/src/core/parse_qca.py | retallickj/qca-embedding | 96fd37a3ecd4beacb04ad1cb193d65d0b48ceab2 | [
"MIT"
] | 1 | 2017-11-02T20:38:20.000Z | 2017-11-02T20:38:20.000Z | gui/src/core/parse_qca.py | retallickj/qca-embedding | 96fd37a3ecd4beacb04ad1cb193d65d0b48ceab2 | [
"MIT"
] | null | null | null | gui/src/core/parse_qca.py | retallickj/qca-embedding | 96fd37a3ecd4beacb04ad1cb193d65d0b48ceab2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#---------------------------------------------------------
# Name: parse_qca.py
# Purpose: Parsing functions for QCADesigner files
# Author: Jacob Retallick
# Created: 2015.10.22
# Last Modified: 2015.10.22
#---------------------------------------------------------
# NOTE
# the origin... | 32.34349 | 80 | 0.554642 | 1,569 | 11,676 | 4.06246 | 0.250478 | 0.00502 | 0.01412 | 0.010668 | 0.122372 | 0.104644 | 0.096956 | 0.08064 | 0.064324 | 0.064324 | 0 | 0.008943 | 0.320058 | 11,676 | 360 | 81 | 32.433333 | 0.793929 | 0.309267 | 0 | 0.123711 | 0 | 0 | 0.074834 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030928 | false | 0 | 0.025773 | 0 | 0.097938 | 0.020619 | 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 |
1f0fed3d680bffcc5eeafee6ce65b7395cfecca1 | 7,391 | py | Python | docs/Tutorial/1-glm/plot_1_LinearRegression.py | bbayukari/abess | 3b21b0a58cac6c1464ec9403ffbe4902fee7b890 | [
"Intel"
] | null | null | null | docs/Tutorial/1-glm/plot_1_LinearRegression.py | bbayukari/abess | 3b21b0a58cac6c1464ec9403ffbe4902fee7b890 | [
"Intel"
] | null | null | null | docs/Tutorial/1-glm/plot_1_LinearRegression.py | bbayukari/abess | 3b21b0a58cac6c1464ec9403ffbe4902fee7b890 | [
"Intel"
] | null | null | null | """
=================
Linear Regression
=================
In this tutorial, we are going to demonstrate how to use the ``abess`` package to carry out best subset selection
in linear regression with both simulated data and real data.
"""
###############################################################################
#... | 35.028436 | 221 | 0.64998 | 1,060 | 7,391 | 4.471698 | 0.339623 | 0.016878 | 0.020042 | 0.017089 | 0.052321 | 0.052321 | 0.029114 | 0.016456 | 0 | 0 | 0 | 0.017588 | 0.146124 | 7,391 | 210 | 222 | 35.195238 | 0.733481 | 0.672981 | 0 | 0.220339 | 0 | 0 | 0.107274 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.118644 | 0 | 0.118644 | 0.20339 | 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 |
1f11e9df2b051fcb60ef9a9128d6a058c4f210e2 | 2,386 | py | Python | pyppeteer/tracing.py | cr1pt/pypyteer | b3aade3741b385f2e1dde600b501776f1f5e8479 | [
"MIT"
] | null | null | null | pyppeteer/tracing.py | cr1pt/pypyteer | b3aade3741b385f2e1dde600b501776f1f5e8479 | [
"MIT"
] | null | null | null | pyppeteer/tracing.py | cr1pt/pypyteer | b3aade3741b385f2e1dde600b501776f1f5e8479 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Tracing module."""
import asyncio
from pathlib import Path
from typing import Any, Awaitable
from pyppeteer.connection import Session
class Tracing(object):
"""Tracing class."""
def __init__(self, client: Session) -> None:
"""Make new tracing objec... | 32.684932 | 77 | 0.559933 | 237 | 2,386 | 5.523207 | 0.455696 | 0.053476 | 0.064935 | 0.076394 | 0.147441 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002418 | 0.30679 | 2,386 | 72 | 78 | 33.138889 | 0.788996 | 0.04694 | 0 | 0.074074 | 0 | 0 | 0.185849 | 0.098522 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018519 | false | 0 | 0.074074 | 0 | 0.12963 | 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 |
1f126ef87161ba2d8fbb4e598c5bbb09c32019bd | 2,627 | py | Python | src/wai/annotations/isp/map_labels/component/_MapLabels.py | waikato-ufdl/wai-annotations-core | bac3429e9488efb456972c74f9d462f951c4af3d | [
"Apache-2.0"
] | null | null | null | src/wai/annotations/isp/map_labels/component/_MapLabels.py | waikato-ufdl/wai-annotations-core | bac3429e9488efb456972c74f9d462f951c4af3d | [
"Apache-2.0"
] | 3 | 2021-06-30T23:42:47.000Z | 2022-03-01T03:45:07.000Z | src/wai/annotations/isp/map_labels/component/_MapLabels.py | waikato-ufdl/wai-annotations-core | bac3429e9488efb456972c74f9d462f951c4af3d | [
"Apache-2.0"
] | null | null | null | from typing import Optional, Dict
from wai.common.adams.imaging.locateobjects import LocatedObjects
from wai.common.cli.options import TypedOption
from ....core.component import ProcessorComponent
from ....core.stream import ThenFunction, DoneFunction
from ....core.stream.util import RequiresNoFinalisation
from ....c... | 33.679487 | 113 | 0.650552 | 296 | 2,627 | 5.658784 | 0.378378 | 0.053731 | 0.025075 | 0.025075 | 0.035821 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000524 | 0.272935 | 2,627 | 77 | 114 | 34.116883 | 0.87644 | 0.175485 | 0 | 0.043478 | 0 | 0 | 0.092813 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065217 | false | 0 | 0.195652 | 0 | 0.347826 | 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 |
1f14096bca569e364e31b3699b308c6507e8fe1b | 8,221 | py | Python | nlg/app.py | samrudh/gramex-nlg | fb1b1ce14347947c8644adda7bd63856dcb2ce3d | [
"MIT"
] | null | null | null | nlg/app.py | samrudh/gramex-nlg | fb1b1ce14347947c8644adda7bd63856dcb2ce3d | [
"MIT"
] | null | null | null | nlg/app.py | samrudh/gramex-nlg | fb1b1ce14347947c8644adda7bd63856dcb2ce3d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# vim:fenc=utf-8
"""
Module for gramex exposure. This shouldn't be imported anywhere, only for use
with gramex.
"""
import glob
import json
import os
import os.path as op
import pandas as pd
from six.moves.urllib import parse
from tornado.template import Template
from gramex.apps.nlg import g... | 33.555102 | 88 | 0.643961 | 1,122 | 8,221 | 4.602496 | 0.215686 | 0.020914 | 0.015492 | 0.023044 | 0.285244 | 0.197134 | 0.162277 | 0.129357 | 0.070488 | 0.064291 | 0 | 0.002802 | 0.218465 | 8,221 | 244 | 89 | 33.692623 | 0.800934 | 0.243158 | 0 | 0.16 | 0 | 0 | 0.068189 | 0 | 0 | 0 | 0 | 0.004098 | 0 | 1 | 0.1 | false | 0 | 0.08 | 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 |
1f14219d12c0adf9ade099f871dd4550e114601e | 3,682 | py | Python | data/main_data_flow.py | SterArcher/OHCA-registry-Slovenia | ad8278a28039503ab6a75d48ffea314de9a759ba | [
"MIT"
] | 1 | 2022-02-28T13:02:14.000Z | 2022-02-28T13:02:14.000Z | data/main_data_flow.py | SterArcher/dispatch | ad8278a28039503ab6a75d48ffea314de9a759ba | [
"MIT"
] | 1 | 2022-03-20T10:51:17.000Z | 2022-03-21T07:52:57.000Z | data/main_data_flow.py | SterArcher/OHCA-registry-Slovenia | ad8278a28039503ab6a75d48ffea314de9a759ba | [
"MIT"
] | null | null | null | import plotly.graph_objects as go
import plotly as plt
import random
# Uncomment the names you want the diagram to show
# Names in english
# sta = "Statistical Office"
# si = "Emergency call admission" #"sprejem intervencij"
# pni = "Emergency intervention report" #"poročilo/protokol nujne intervencije"
# pnrv = "Em... | 35.066667 | 125 | 0.67409 | 478 | 3,682 | 5.15272 | 0.39749 | 0.017052 | 0.004872 | 0.038977 | 0.216809 | 0.141291 | 0.129111 | 0.11287 | 0.11287 | 0.087698 | 0 | 0.01759 | 0.181695 | 3,682 | 104 | 126 | 35.403846 | 0.799867 | 0.311244 | 0 | 0 | 0 | 0 | 0.1868 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014925 | false | 0 | 0.044776 | 0 | 0.074627 | 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 |
1f1586c55bd8026b70c428056979527a8012b8fd | 8,468 | py | Python | apcadastros.py | Alexsussa/ap-cadastros | 9b5e9b57970a6a044ebde071a68403e0d513e89b | [
"MIT"
] | null | null | null | apcadastros.py | Alexsussa/ap-cadastros | 9b5e9b57970a6a044ebde071a68403e0d513e89b | [
"MIT"
] | null | null | null | apcadastros.py | Alexsussa/ap-cadastros | 9b5e9b57970a6a044ebde071a68403e0d513e89b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- encoding: utf-8 -*-
__developer__ = 'Alex Pinheiro'
__version__ = 1.4
__build__ = 6
import sqlite3
from tkinter.ttk import *
from tkinter.filedialog import *
from threading import Thread
from utils import Utils
from login import Login
u = Utils
# Listas
estados = ['AC', 'AL', 'AP', 'AM'... | 41.920792 | 118 | 0.62931 | 1,095 | 8,468 | 4.829224 | 0.238356 | 0.033283 | 0.049924 | 0.057489 | 0.364032 | 0.231467 | 0.221256 | 0.20556 | 0.20556 | 0.197428 | 0 | 0.018508 | 0.202409 | 8,468 | 201 | 119 | 42.129353 | 0.764436 | 0.018777 | 0 | 0.071895 | 0 | 0.019608 | 0.148869 | 0.006081 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019608 | false | 0 | 0.045752 | 0 | 0.071895 | 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 |
1f18f11b5d9f381e25d945aa36634594b061dc4c | 3,749 | py | Python | exps/supp-synthetic/notebooks/hp_analysis.py | Viktour19/overlap-code | f5c6e63146a00f65710c38b9181bb9d12de6454f | [
"MIT"
] | 2 | 2020-07-09T03:15:58.000Z | 2022-03-09T11:57:17.000Z | exps/supp-synthetic/notebooks/hp_analysis.py | Viktour19/overlap-code | f5c6e63146a00f65710c38b9181bb9d12de6454f | [
"MIT"
] | null | null | null | exps/supp-synthetic/notebooks/hp_analysis.py | Viktour19/overlap-code | f5c6e63146a00f65710c38b9181bb9d12de6454f | [
"MIT"
] | 1 | 2021-05-18T11:55:04.000Z | 2021-05-18T11:55:04.000Z | #!/usr/bin/env python
# coding: utf-8
from sacred.observers import TinyDbReader
import pdb
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
def get_exclusion_metadata(
d,
ideal_rule = [['i0', 'not', ''], ['i1', 'not', '']],
w_lb=1e-8):
r = dict(d)
r['rule_avg_cov... | 41.197802 | 112 | 0.628434 | 586 | 3,749 | 3.692833 | 0.226962 | 0.081331 | 0.054067 | 0.025878 | 0.414048 | 0.331331 | 0.292514 | 0.235675 | 0.18207 | 0.102588 | 0 | 0.005483 | 0.221659 | 3,749 | 90 | 113 | 41.655556 | 0.736121 | 0.141104 | 0 | 0 | 0 | 0 | 0.259421 | 0.086889 | 0 | 0 | 0 | 0 | 0.016129 | 1 | 0.048387 | false | 0 | 0.080645 | 0.016129 | 0.177419 | 0.016129 | 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 |
1f1e0b869b9f01994358b74334809a1ece521ead | 774 | py | Python | 345_ReverseVowelsOfAString.py | satwiksabharwal01/LeetcodeProblemSolutions | c08fb77b76519f9c543d74f84cb2c0477aeddcd9 | [
"MIT"
] | 1 | 2020-06-03T22:00:54.000Z | 2020-06-03T22:00:54.000Z | 345_ReverseVowelsOfAString.py | AmiGandhi/leetcode | 238186f1e4dd7f243caab47173ebc2511ae5902e | [
"MIT"
] | null | null | null | 345_ReverseVowelsOfAString.py | AmiGandhi/leetcode | 238186f1e4dd7f243caab47173ebc2511ae5902e | [
"MIT"
] | null | null | null | # Write a function that takes a string as input and reverse only the vowels of a string.
# Example 1:
# Input: "hello"
# Output: "holle"
# Example 2:
# Input: "leetcode"
# Output: "leotcede"
class Solution:
def reverseVowels(self, s: str) -> str:
vowels = set(list("aeiouAEIOU"))
s = list(s)
... | 26.689655 | 88 | 0.536176 | 105 | 774 | 3.87619 | 0.428571 | 0.061425 | 0.034398 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015564 | 0.335917 | 774 | 29 | 89 | 26.689655 | 0.776265 | 0.22739 | 0 | 0 | 0 | 0 | 0.038917 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0 | 0 | 0.176471 | 0.058824 | 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 |
1f1f88fe67e806539b890092e9e0d182702100b7 | 574 | py | Python | script/run_basic_slackbot.py | imperial-genomics-facility/IGFSlackBot | 2692460e907381cea067b674a560cacef6fff981 | [
"Apache-2.0"
] | null | null | null | script/run_basic_slackbot.py | imperial-genomics-facility/IGFSlackBot | 2692460e907381cea067b674a560cacef6fff981 | [
"Apache-2.0"
] | null | null | null | script/run_basic_slackbot.py | imperial-genomics-facility/IGFSlackBot | 2692460e907381cea067b674a560cacef6fff981 | [
"Apache-2.0"
] | null | null | null | import argparse
from slackbot.basic.igfbasicslackbot import IgfBasicSlackBot
parser=argparse.ArgumentParser()
parser.add_argument('-s','--slack_config', required=True, help='Slack configuration json file')
parser.add_argument('-p','--project_data', required=True, help='Project data CSV file')
args=parser.parse_args()... | 31.888889 | 95 | 0.771777 | 75 | 574 | 5.666667 | 0.466667 | 0.155294 | 0.08 | 0.103529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.120209 | 574 | 17 | 96 | 33.764706 | 0.841584 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 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 |
1f2103ff16477b77dbb801e6f1f09baa26d1ea3b | 1,170 | py | Python | bgbl/management/commands/fix_glyphs.py | okfde/api.offenegesetze.de | 85bc0a1a65dfa77651b7319eb0fccde1a27ba193 | [
"MIT"
] | 16 | 2018-12-10T11:59:44.000Z | 2020-06-28T21:37:15.000Z | bgbl/management/commands/fix_glyphs.py | bundestag/api.offenegesetze.de | 280673b9995a8a5c1fd01b1cb14dc0046599530f | [
"MIT"
] | 21 | 2020-02-11T23:17:52.000Z | 2022-01-05T13:58:20.000Z | bgbl/management/commands/fix_glyphs.py | bundestag/api.offenegesetze.de | 280673b9995a8a5c1fd01b1cb14dc0046599530f | [
"MIT"
] | 1 | 2018-12-11T20:17:09.000Z | 2018-12-11T20:17:09.000Z | from glob import glob
import os
import shutil
from django.core.management.base import BaseCommand
from bgbl.pdf_utils import fix_glyphs, remove_watermark
class Command(BaseCommand):
help = 'Fix glyphs pdfs'
def add_arguments(self, parser):
parser.add_argument('doc_path', type=str)
def handle(s... | 30.789474 | 81 | 0.638462 | 135 | 1,170 | 5.318519 | 0.42963 | 0.058496 | 0.038997 | 0.069638 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.260684 | 1,170 | 37 | 82 | 31.621622 | 0.830058 | 0 | 0 | 0 | 0 | 0 | 0.095727 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.185185 | 0 | 0.333333 | 0.074074 | 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 |
1f228e4d5652a96220edc4fa67e8ff6e9ecc91ac | 657 | py | Python | catalog/bindings/csw/time_topology_complex_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | catalog/bindings/csw/time_topology_complex_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | catalog/bindings/csw/time_topology_complex_type.py | NIVANorge/s-enda-playground | 56ae0a8978f0ba8a5546330786c882c31e17757a | [
"Apache-2.0"
] | null | null | null | from dataclasses import dataclass, field
from typing import List
from bindings.csw.abstract_time_complex_type import AbstractTimeComplexType
from bindings.csw.time_topology_primitive_property_type import (
TimeTopologyPrimitivePropertyType,
)
__NAMESPACE__ = "http://www.opengis.net/gml"
@dataclass
class TimeTopo... | 26.28 | 75 | 0.703196 | 61 | 657 | 7.360656 | 0.57377 | 0.053452 | 0.066815 | 0.10245 | 0.129176 | 0.129176 | 0 | 0 | 0 | 0 | 0 | 0.001908 | 0.202435 | 657 | 24 | 76 | 27.375 | 0.854962 | 0.042618 | 0 | 0 | 0 | 0 | 0.133768 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.235294 | 0 | 0.352941 | 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 |
1f251d95dc8853c21e444177f77e27a265f912f3 | 1,534 | py | Python | maro/cli/grass/lib/services/node_api_server/blueprints/containers.py | yangboz/maro | 0973783e55ca07bf8e177910c9d47854117a4ea8 | [
"MIT"
] | 598 | 2020-09-23T00:50:22.000Z | 2022-03-31T08:12:54.000Z | maro/cli/grass/lib/services/node_api_server/blueprints/containers.py | gx9702/maro | 38c796f0a7ed1e0f64c299d96c6e0df032401fa9 | [
"MIT"
] | 235 | 2020-09-22T10:20:48.000Z | 2022-03-31T02:10:03.000Z | maro/cli/grass/lib/services/node_api_server/blueprints/containers.py | gx9702/maro | 38c796f0a7ed1e0f64c299d96c6e0df032401fa9 | [
"MIT"
] | 116 | 2020-09-22T09:19:04.000Z | 2022-02-12T05:04:07.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from flask import Blueprint, abort, request
from ...utils.docker_controller import DockerController
from ...utils.exception import CommandExecutionError
# Flask related.
blueprint = Blueprint(name="container", import_name=__name__)
URL_PREFIX... | 22.895522 | 89 | 0.683833 | 167 | 1,534 | 6.095808 | 0.329341 | 0.127701 | 0.086444 | 0.053045 | 0.413556 | 0.38998 | 0.38998 | 0.38998 | 0.38998 | 0.38998 | 0 | 0.00821 | 0.205997 | 1,534 | 66 | 90 | 23.242424 | 0.827586 | 0.249674 | 0 | 0.423077 | 0 | 0 | 0.103993 | 0.058496 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0 | 0.153846 | 0 | 0.384615 | 0.192308 | 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 |
1f26c8fd4ac1dfad9af1cf8e92f70fe641af8f00 | 6,521 | py | Python | src/licensedcode/saneyaml.py | chetanya-shrimali/scancode-toolkit | a1a22fb225cbeb211bd6f92272a46f1351f57d6b | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | src/licensedcode/saneyaml.py | chetanya-shrimali/scancode-toolkit | a1a22fb225cbeb211bd6f92272a46f1351f57d6b | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | src/licensedcode/saneyaml.py | chetanya-shrimali/scancode-toolkit | a1a22fb225cbeb211bd6f92272a46f1351f57d6b | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | #
# Copyright (c) 2017 nexB Inc. and others. All rights reserved.
# http://nexb.com and https://github.com/nexB/scancode-toolkit/
# The ScanCode software is licensed under the Apache License version 2.0.
# Data generated with ScanCode require an acknowledgment.
# ScanCode is a trademark of nexB Inc.
#
# You may not use... | 33.441026 | 90 | 0.73455 | 936 | 6,521 | 5.038462 | 0.317308 | 0.012723 | 0.025445 | 0.034987 | 0.23961 | 0.208651 | 0.15458 | 0.15458 | 0.129771 | 0.086726 | 0 | 0.016387 | 0.176507 | 6,521 | 194 | 91 | 33.613402 | 0.861825 | 0.408526 | 0 | 0.051948 | 0 | 0 | 0.101887 | 0.09717 | 0 | 0 | 0 | 0 | 0.012987 | 1 | 0.116883 | false | 0.012987 | 0.12987 | 0.012987 | 0.376623 | 0.012987 | 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 |
1f272919a0358c21a01d9a8008881e0d63626d7a | 14,383 | py | Python | tsutsuji/gui_tsutsuji.py | konawasabi/tsutsuji-trackcomputer | 04469a8a9872e8bad3d661c5911b9c881fab8ca9 | [
"Apache-2.0"
] | 1 | 2022-03-14T00:35:05.000Z | 2022-03-14T00:35:05.000Z | tsutsuji/gui_tsutsuji.py | konawasabi/tsutsuji-trackcomputer | 04469a8a9872e8bad3d661c5911b9c881fab8ca9 | [
"Apache-2.0"
] | null | null | null | tsutsuji/gui_tsutsuji.py | konawasabi/tsutsuji-trackcomputer | 04469a8a9872e8bad3d661c5911b9c881fab8ca9 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2021-2022 konawasabi
#
# 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... | 43.453172 | 144 | 0.643398 | 2,019 | 14,383 | 4.425458 | 0.193165 | 0.026861 | 0.010632 | 0.021936 | 0.378511 | 0.326133 | 0.260884 | 0.214326 | 0.178064 | 0.150196 | 0 | 0.019666 | 0.225753 | 14,383 | 330 | 145 | 43.584848 | 0.782238 | 0.081485 | 0 | 0.105042 | 0 | 0 | 0.050361 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0 | 0.088235 | 0 | 0.189076 | 0.033613 | 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 |
1f2ccc8e4139330b0b1a1e4de76035b03e5fa0d0 | 1,011 | py | Python | extra/uniq.py | JarryShaw/darc | 0fc8782bb2f641ca3734c94666cbc36e3d9cb09f | [
"BSD-3-Clause"
] | 24 | 2020-07-08T06:16:52.000Z | 2022-02-19T00:33:34.000Z | extra/uniq.py | JarryShaw/darc | 0fc8782bb2f641ca3734c94666cbc36e3d9cb09f | [
"BSD-3-Clause"
] | 42 | 2020-05-29T12:56:10.000Z | 2022-03-07T17:12:08.000Z | extra/uniq.py | JarryShaw/darc | 0fc8782bb2f641ca3734c94666cbc36e3d9cb09f | [
"BSD-3-Clause"
] | 7 | 2020-07-11T18:57:24.000Z | 2022-02-01T21:46:30.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import sys
import tempfile
def is_in(line: str, dest: str) -> bool:
if os.path.isfile(dest):
with open(dest) as file:
for content in filter(None, map(lambda s: s.strip(), file)):
if line == content:
r... | 24.071429 | 72 | 0.547972 | 137 | 1,011 | 3.956204 | 0.40146 | 0.03321 | 0.02952 | 0.055351 | 0.140221 | 0.140221 | 0.140221 | 0.140221 | 0.140221 | 0.140221 | 0 | 0.007246 | 0.317507 | 1,011 | 41 | 73 | 24.658537 | 0.778261 | 0.042532 | 0 | 0.068966 | 0 | 0 | 0.017598 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0.103448 | 0 | 0.310345 | 0.034483 | 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 |
1f2d5d68906150aa022de6e4c0b468cf3688673c | 353 | py | Python | tests.py | B1Z0N/turingmachine | 4c6761ee52fd05071d675a8cab8558025a5c26d9 | [
"MIT"
] | null | null | null | tests.py | B1Z0N/turingmachine | 4c6761ee52fd05071d675a8cab8558025a5c26d9 | [
"MIT"
] | 3 | 2020-03-24T16:53:31.000Z | 2021-02-02T21:58:25.000Z | tests.py | B1Z0N/turingmachine | 4c6761ee52fd05071d675a8cab8558025a5c26d9 | [
"MIT"
] | null | null | null | """
Script that runs all tests written
"""
import os
import pathlib
import pytest
cwd = pathlib.Path.cwd
os.chdir(cwd() / "tests")
def subfolders(dir):
return [x[0] for x in os.walk(dir)][1:] # without current directory
for subf in subfolders(cwd()):
if not subf.endswith("__pycache__"):
os.chd... | 13.576923 | 72 | 0.645892 | 51 | 353 | 4.392157 | 0.627451 | 0.0625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007246 | 0.21813 | 353 | 25 | 73 | 14.12 | 0.804348 | 0.172805 | 0 | 0 | 0 | 0 | 0.057143 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.272727 | 0.090909 | 0.454545 | 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 |
1f2da5398cfdb995da864f3b7f84a89bc1c2fda5 | 7,933 | py | Python | sandbox/straws/loadstraws.py | mustaric/lambda-tess-search | 1d48133f32c8a073cba5d221f30c2d44e8d06e4b | [
"BSD-3-Clause"
] | 2 | 2019-06-26T14:35:22.000Z | 2020-05-12T15:26:27.000Z | sandbox/straws/loadstraws.py | mustaric/lambda-tess-search | 1d48133f32c8a073cba5d221f30c2d44e8d06e4b | [
"BSD-3-Clause"
] | 7 | 2019-06-26T20:52:14.000Z | 2020-12-16T21:08:20.000Z | sandbox/straws/loadstraws.py | mustaric/lambda-tess-search | 1d48133f32c8a073cba5d221f30c2d44e8d06e4b | [
"BSD-3-Clause"
] | 2 | 2019-06-26T20:24:11.000Z | 2020-05-12T19:36:04.000Z | # -*- coding: utf-8 -*-
# Copyright 2017-2018 Orbital Insight Inc., all rights reserved.
# Contains confidential and trade secret information.
# Government Users: Commercial Computer Software - Use governed by
# terms of Orbital Insight commercial license agreement.
"""
Created on Tue Oct 22 21:22:36 2019
@author: fe... | 30.511538 | 87 | 0.573427 | 981 | 7,933 | 4.575943 | 0.294597 | 0.026732 | 0.018712 | 0.023391 | 0.234796 | 0.17955 | 0.17955 | 0.152818 | 0.128314 | 0.107374 | 0 | 0.015023 | 0.328753 | 7,933 | 259 | 88 | 30.629344 | 0.827981 | 0.33556 | 0 | 0.181818 | 0 | 0 | 0.043914 | 0 | 0 | 0 | 0 | 0 | 0.036364 | 1 | 0.136364 | false | 0 | 0.072727 | 0.018182 | 0.336364 | 0.027273 | 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 |
1f30e7564e6c5decd42ff9ef937b6271af7e25ce | 8,797 | py | Python | MISC/opt_omega_ip.py | PHOTOX/photoxrepo | 83ad3813e9c52926e6387afc76813e99d430a5f3 | [
"MIT"
] | 4 | 2015-03-27T09:12:44.000Z | 2022-01-18T08:45:29.000Z | MISC/opt_omega_ip.py | PHOTOX/photoxrepo | 83ad3813e9c52926e6387afc76813e99d430a5f3 | [
"MIT"
] | 5 | 2015-01-06T22:08:58.000Z | 2021-04-12T07:56:34.000Z | MISC/opt_omega_ip.py | PHOTOX/photoxrepo | 83ad3813e9c52926e6387afc76813e99d430a5f3 | [
"MIT"
] | 2 | 2019-09-02T11:43:32.000Z | 2022-01-18T08:45:30.000Z | #!/usr/bin/env python
import os
import sys
sys.path.append(os.getcwd())
import abinitio_driver as driver
from abinitio_driver import AUtoEV
import scipy.optimize as opt
from scipy.interpolate import interp1d
try:
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
except:
pass
# This i... | 32.581481 | 103 | 0.665909 | 1,265 | 8,797 | 4.49249 | 0.23083 | 0.044343 | 0.042231 | 0.058068 | 0.468063 | 0.446771 | 0.446771 | 0.416329 | 0.397501 | 0.35351 | 0 | 0.017649 | 0.220643 | 8,797 | 269 | 104 | 32.702602 | 0.81126 | 0.276685 | 0 | 0.494318 | 0 | 0 | 0.146267 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022727 | false | 0.017045 | 0.045455 | 0 | 0.090909 | 0.085227 | 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 |
1f36e08746ee116943eb44bc9ccc08813b7b6dbe | 415 | py | Python | test/test_pbp.py | Galtozzy/basketball_reference_scraper | fb0081f2ae146f3a7da3a17d4e30af0c0dc1124a | [
"MIT"
] | 191 | 2020-01-14T19:32:54.000Z | 2022-03-29T17:57:19.000Z | test/test_pbp.py | Galtozzy/basketball_reference_scraper | fb0081f2ae146f3a7da3a17d4e30af0c0dc1124a | [
"MIT"
] | 59 | 2020-01-14T18:55:09.000Z | 2022-03-03T21:10:03.000Z | test/test_pbp.py | Galtozzy/basketball_reference_scraper | fb0081f2ae146f3a7da3a17d4e30af0c0dc1124a | [
"MIT"
] | 76 | 2020-01-08T19:50:31.000Z | 2022-03-31T18:52:06.000Z | import unittest
from basketball_reference_scraper.pbp import get_pbp
class TestPbp(unittest.TestCase):
def test_pbp(self):
df = get_pbp('2020-01-06', 'DEN', 'ATL')
expected_columns = ['QUARTER', 'TIME_REMAINING', 'DENVER_ACTION', 'ATLANTA_ACTION', 'DENVER_SCORE', 'ATLANTA_SCORE']
self.asser... | 34.583333 | 124 | 0.710843 | 51 | 415 | 5.392157 | 0.666667 | 0.043636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022792 | 0.154217 | 415 | 11 | 125 | 37.727273 | 0.760684 | 0 | 0 | 0 | 0 | 0 | 0.233735 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.111111 | false | 0 | 0.222222 | 0 | 0.444444 | 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 |
1f376809bd6d755cb0caead50017abc148fc244a | 978 | py | Python | bin/grep.py | Blindfold/pk-mod | 24f958b0d501a3b5d9393dcad1e69987c2448968 | [
"Apache-2.0"
] | 1 | 2019-04-03T20:02:40.000Z | 2019-04-03T20:02:40.000Z | bin/grep.py | Blindfold-Games/pk-mod | 24f958b0d501a3b5d9393dcad1e69987c2448968 | [
"Apache-2.0"
] | 3 | 2015-01-03T23:56:51.000Z | 2015-01-15T09:16:46.000Z | bin/grep.py | Blindfold-Games/pk-mod | 24f958b0d501a3b5d9393dcad1e69987c2448968 | [
"Apache-2.0"
] | null | null | null | import re
import os
from sys import argv
def grep(match):
def _do_grep_wrapper(match):
def _do_grep(lines):
if match(lines):
yield lines
return _do_grep
return _do_grep_wrapper(match)
def find(what, where, depth=True):
"""
:param what: str String to search ... | 27.166667 | 96 | 0.5818 | 140 | 978 | 3.907143 | 0.464286 | 0.043876 | 0.036563 | 0.051188 | 0.157221 | 0.080439 | 0 | 0 | 0 | 0 | 0 | 0.004418 | 0.305726 | 978 | 36 | 97 | 27.166667 | 0.801178 | 0.190184 | 0 | 0 | 0 | 0 | 0.011765 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16 | false | 0 | 0.12 | 0 | 0.4 | 0.04 | 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 |
1f39f0a7bb12ceef46b29fb32101f2f558a75220 | 2,023 | py | Python | solution.py | nandita16gupta/CSV-Reading-using-Dynamic-Programming | 793f9a9b23c2b1ea45d9ec71ea7070690932f9aa | [
"Apache-2.0"
] | null | null | null | solution.py | nandita16gupta/CSV-Reading-using-Dynamic-Programming | 793f9a9b23c2b1ea45d9ec71ea7070690932f9aa | [
"Apache-2.0"
] | null | null | null | solution.py | nandita16gupta/CSV-Reading-using-Dynamic-Programming | 793f9a9b23c2b1ea45d9ec71ea7070690932f9aa | [
"Apache-2.0"
] | null | null | null |
import csv
def inner(cell, spreadsheet):
try:
parts = cell.split()
if len(parts) == 0:
return 0.0
stack = []
for part in parts:
if part[0].isalpha():
col = ord(part[0]) - ord('a')
row = int(part[1:]) - 1
cell ... | 24.373494 | 53 | 0.44439 | 213 | 2,023 | 4.14554 | 0.2723 | 0.074745 | 0.084938 | 0.064553 | 0.14043 | 0.08607 | 0.08607 | 0.08607 | 0.08607 | 0.08607 | 0 | 0.008711 | 0.432526 | 2,023 | 82 | 54 | 24.670732 | 0.760453 | 0.00692 | 0 | 0.109375 | 0 | 0 | 0.036889 | 0.010967 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.015625 | 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 |
1f3ca2663f904f54aa3ffae1453e96545934c8ab | 959 | py | Python | tests/test_auth.py | ChukwuEmekaAjah/buycoins_python | 86547aa742364a0e308b1dfb5f7c73b4467b1e06 | [
"MIT"
] | 1 | 2021-03-25T19:28:48.000Z | 2021-03-25T19:28:48.000Z | tests/test_auth.py | ChukwuEmekaAjah/buycoins_python | 86547aa742364a0e308b1dfb5f7c73b4467b1e06 | [
"MIT"
] | null | null | null | tests/test_auth.py | ChukwuEmekaAjah/buycoins_python | 86547aa742364a0e308b1dfb5f7c73b4467b1e06 | [
"MIT"
] | null | null | null | from buycoins_client import Auth
import unittest
class TestAuthMethods(unittest.TestCase):
def test_invalid_secret_key_setup(self):
"""
Should throw an exception for invalid secret key
"""
try:
Auth.setup("name",3)
except Exception as e:
self.ass... | 26.638889 | 89 | 0.605839 | 116 | 959 | 4.836207 | 0.37069 | 0.096257 | 0.114082 | 0.064171 | 0.481283 | 0.481283 | 0.481283 | 0.392157 | 0.392157 | 0.392157 | 0 | 0.004511 | 0.306569 | 959 | 35 | 90 | 27.4 | 0.839098 | 0.169969 | 0 | 0.222222 | 0 | 0 | 0.173669 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 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 |
1f3d20a100b0201057cb5b8f77818cba1ad9e63b | 6,328 | py | Python | icn/plc/main.py | PMaynard/ndn-water-treatment-testbed | 926db68237b06f43f6e736f035201ed71fc153bc | [
"MIT"
] | 3 | 2021-01-20T00:54:09.000Z | 2021-06-02T01:54:02.000Z | icn/plc/main.py | PMaynard/ndn-water-treatment-testbed | 926db68237b06f43f6e736f035201ed71fc153bc | [
"MIT"
] | null | null | null | icn/plc/main.py | PMaynard/ndn-water-treatment-testbed | 926db68237b06f43f6e736f035201ed71fc153bc | [
"MIT"
] | null | null | null | # from ui import UI
# from ui import UI_Element
import sys
import time
import threading
import socket
from plcrpcservice import PLCRPCClient
import pyndn
from pyndn import Name
from pyndn import Face
from pyndn import Interest
from pyndn.security import KeyChain
from pyndn.security.identity import IdentityManager
fr... | 31.326733 | 112 | 0.588021 | 731 | 6,328 | 5.023256 | 0.27907 | 0.041394 | 0.02097 | 0.022876 | 0.026144 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010191 | 0.286662 | 6,328 | 201 | 113 | 31.482587 | 0.803279 | 0.195006 | 0 | 0.032787 | 0 | 0 | 0.068684 | 0 | 0 | 0 | 0.000818 | 0.004975 | 0 | 1 | 0.098361 | false | 0 | 0.131148 | 0.016393 | 0.270492 | 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 |
1f3eb22adbac011762c8a0158ac669343f090557 | 2,876 | py | Python | cogs/administration.py | tigersharkpr13/AnsuraBot | 035797121d8e7952bc38e32834cdb655c15cb703 | [
"Unlicense"
] | null | null | null | cogs/administration.py | tigersharkpr13/AnsuraBot | 035797121d8e7952bc38e32834cdb655c15cb703 | [
"Unlicense"
] | null | null | null | cogs/administration.py | tigersharkpr13/AnsuraBot | 035797121d8e7952bc38e32834cdb655c15cb703 | [
"Unlicense"
] | null | null | null | from typing import Union
import discord
from discord.ext import commands
import cogs.gamertags
from ansura.ansurabot import AnsuraBot
from ansura.ansuracontext import AnsuraContext
class Administration(commands.Cog):
def error(self, title, message={}, color=0xff0000):
e = discord.Embed()
e.colou... | 40.507042 | 92 | 0.561544 | 401 | 2,876 | 3.955112 | 0.239402 | 0.027743 | 0.062421 | 0.090164 | 0.474149 | 0.461538 | 0.428752 | 0.428752 | 0.428752 | 0.428752 | 0 | 0.012626 | 0.311544 | 2,876 | 70 | 93 | 41.085714 | 0.788384 | 0 | 0 | 0.33871 | 0 | 0 | 0.08484 | 0.011127 | 0 | 0 | 0.002782 | 0 | 0 | 1 | 0.048387 | false | 0 | 0.096774 | 0 | 0.209677 | 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 |
1f3f0f56c3a1c070b48e8fbce26fe6e40715c8ef | 357 | py | Python | project/celery.py | kunugoda/jobbrd | 19debcac7673a85eda4a8d1eb00e5537268bd601 | [
"MIT"
] | 1 | 2020-06-17T05:25:42.000Z | 2020-06-17T05:25:42.000Z | project/celery.py | kunugoda/jobbrd | 19debcac7673a85eda4a8d1eb00e5537268bd601 | [
"MIT"
] | null | null | null | project/celery.py | kunugoda/jobbrd | 19debcac7673a85eda4a8d1eb00e5537268bd601 | [
"MIT"
] | null | null | null | import os
from celery import Celery
from django.conf import settings
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'project.settings')
app = Celery('jobboard')
app.config_from_object('django.conf:settings')
app.autodiscover_tasks(lambda: settings.INSTALLED_APPS)
@app.task(bind=True)
def debug_task(self):
print(... | 23.8 | 67 | 0.787115 | 50 | 357 | 5.48 | 0.6 | 0.072993 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003049 | 0.081232 | 357 | 14 | 68 | 25.5 | 0.832317 | 0 | 0 | 0 | 0 | 0 | 0.218487 | 0.061625 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.3 | 0 | 0.4 | 0.1 | 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 |
1f407417b73374a6afc645fcceeb6ced94f54f5e | 2,388 | py | Python | EGGS_labrad/clients/cryovac_clients/fma1700a_client.py | EGGS-Experiment/EGGS_Control | c29b3ab0e30dcb6e01d1ca3212ac64ad1506143b | [
"MIT"
] | 2 | 2021-12-26T05:00:54.000Z | 2021-12-30T17:15:49.000Z | EGGS_labrad/clients/cryovac_clients/fma1700a_client.py | EGGS-Experiment/EGGS_Control | c29b3ab0e30dcb6e01d1ca3212ac64ad1506143b | [
"MIT"
] | null | null | null | EGGS_labrad/clients/cryovac_clients/fma1700a_client.py | EGGS-Experiment/EGGS_Control | c29b3ab0e30dcb6e01d1ca3212ac64ad1506143b | [
"MIT"
] | null | null | null | from time import time
from datetime import datetime
from twisted.internet.defer import inlineCallbacks
from EGGS_labrad.clients import GUIClient
from EGGS_labrad.clients.cryovac_clients.fma1700a_gui import fma1700a_gui
class fma1700a_client(GUIClient):
name = 'FMA1700A Client'
FLOWID = 877920
servers = ... | 33.166667 | 100 | 0.620603 | 293 | 2,388 | 4.945392 | 0.389079 | 0.043478 | 0.030366 | 0.043478 | 0.037267 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033869 | 0.270519 | 2,388 | 71 | 101 | 33.633803 | 0.797933 | 0.101759 | 0 | 0.108696 | 0 | 0 | 0.067593 | 0.010067 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108696 | false | 0 | 0.130435 | 0 | 0.347826 | 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 |
1f43bc58bc8f57d5639beefb900d57b125412748 | 1,440 | py | Python | cd4ml/app.py | joragupra/CD4ML-Scenarios | 8c8886388260147cd5248dfa1945f60ebabfaacc | [
"MIT"
] | 1 | 2020-12-24T19:52:58.000Z | 2020-12-24T19:52:58.000Z | cd4ml/app.py | joragupra/CD4ML-Scenarios | 8c8886388260147cd5248dfa1945f60ebabfaacc | [
"MIT"
] | null | null | null | cd4ml/app.py | joragupra/CD4ML-Scenarios | 8c8886388260147cd5248dfa1945f60ebabfaacc | [
"MIT"
] | 1 | 2020-05-04T18:21:41.000Z | 2020-05-04T18:21:41.000Z | from flask import Flask, render_template, request
import cd4ml.app_utils as utils
from cd4ml.fluentd_logging import FluentdLogger
app = Flask(__name__, template_folder='webapp/templates',
static_folder='webapp/static')
fluentd_logger = FluentdLogger()
@app.route('/')
def index():
return render_templ... | 25.263158 | 66 | 0.702083 | 180 | 1,440 | 5.327778 | 0.333333 | 0.036496 | 0.031283 | 0.043796 | 0.216893 | 0.154327 | 0.154327 | 0.091762 | 0.091762 | 0 | 0 | 0.013468 | 0.175 | 1,440 | 56 | 67 | 25.714286 | 0.793771 | 0 | 0 | 0.1 | 0 | 0 | 0.116667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.075 | 0.025 | 0.325 | 0.025 | 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 |
1f44b877c61b52c5169fcc3dc901630593e11752 | 1,456 | py | Python | api/crud/events.py | cnuland/tbml | 8dca907011971a8ad21dfc5b5d6bec1ddbff0818 | [
"MIT"
] | null | null | null | api/crud/events.py | cnuland/tbml | 8dca907011971a8ad21dfc5b5d6bec1ddbff0818 | [
"MIT"
] | null | null | null | api/crud/events.py | cnuland/tbml | 8dca907011971a8ad21dfc5b5d6bec1ddbff0818 | [
"MIT"
] | null | null | null | from fastapi import HTTPException
from tortoise.exceptions import DoesNotExist
from db.models import Events
from schemas.events import EventsOutSchema
async def get_events():
return await EventsOutSchema.from_queryset(Events.all())
async def get_event(event_id) -> EventsOutSchema:
return await EventsOutSch... | 35.512195 | 86 | 0.76511 | 198 | 1,456 | 5.414141 | 0.227273 | 0.084888 | 0.078358 | 0.149254 | 0.580224 | 0.498134 | 0.449627 | 0.449627 | 0.449627 | 0.449627 | 0 | 0.007223 | 0.144231 | 1,456 | 41 | 87 | 35.512195 | 0.85313 | 0 | 0 | 0.392857 | 0 | 0 | 0.070007 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.321429 | 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 |
1f46b6c5cc84e0b05c2f63e339fe44af56c4515e | 29,428 | py | Python | sfx/sfx.py | Terry14/sfx | 16bcf401ba3251b0de211276d97153469499515d | [
"MIT"
] | null | null | null | sfx/sfx.py | Terry14/sfx | 16bcf401ba3251b0de211276d97153469499515d | [
"MIT"
] | null | null | null | sfx/sfx.py | Terry14/sfx | 16bcf401ba3251b0de211276d97153469499515d | [
"MIT"
] | null | null | null | import asyncio
import os
import unicodedata
import aiohttp
import discord
import lavalink
import unidecode
from redbot.core import Config, checks, commands
from redbot.core.utils.chat_formatting import pagify
from redbot.core.utils.predicates import MessagePredicate
from .api import generate_urls
try:
from redb... | 35.327731 | 157 | 0.571259 | 3,584 | 29,428 | 4.607422 | 0.118862 | 0.027615 | 0.038515 | 0.018107 | 0.628475 | 0.58245 | 0.538303 | 0.500696 | 0.486647 | 0.47502 | 0 | 0.006234 | 0.329584 | 29,428 | 832 | 158 | 35.370192 | 0.830757 | 0.012471 | 0 | 0.524409 | 0 | 0.014173 | 0.173608 | 0.018003 | 0 | 0 | 0 | 0 | 0 | 1 | 0.006299 | false | 0.00315 | 0.023622 | 0 | 0.113386 | 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 |
1f477811434f0fbba0fb2564e885e5ce2cde1027 | 581 | py | Python | norm_files.py | jncraton/ipeds-data | e17b051bac3d4d112d83a85f38dc1422d4fb584b | [
"MIT"
] | null | null | null | norm_files.py | jncraton/ipeds-data | e17b051bac3d4d112d83a85f38dc1422d4fb584b | [
"MIT"
] | null | null | null | norm_files.py | jncraton/ipeds-data | e17b051bac3d4d112d83a85f38dc1422d4fb584b | [
"MIT"
] | null | null | null | """
Normalizes contents for all data files.
- Converts column names to uppercase
- Converts data values to uppercase
- Converts to Unix line endings
- Removes trailing whitespace from all lines
"""
import os
csvs = ['data/' + f for f in os.listdir('data') if f.endswith('.csv')]
for f in csvs:
lf = f.lower()
o... | 19.366667 | 70 | 0.650602 | 89 | 581 | 4.247191 | 0.573034 | 0.058201 | 0.100529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017167 | 0.197935 | 581 | 29 | 71 | 20.034483 | 0.793991 | 0.327022 | 0 | 0 | 0 | 0 | 0.075916 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 0.083333 | 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 |
1f528ea187b09ea162a161716dde9aff8b7b565d | 1,042 | py | Python | examples/chain_mdp.py | kngwyu/rlpy | 329166de28d311d8f87358a62c38f40a7318fe07 | [
"BSD-3-Clause"
] | 3 | 2019-12-07T13:34:02.000Z | 2021-03-29T10:20:05.000Z | examples/chain_mdp.py | kngwyu/rlpy | 329166de28d311d8f87358a62c38f40a7318fe07 | [
"BSD-3-Clause"
] | 14 | 2019-09-29T03:09:09.000Z | 2022-01-13T03:17:48.000Z | examples/chain_mdp.py | kngwyu/rlpy3 | 329166de28d311d8f87358a62c38f40a7318fe07 | [
"BSD-3-Clause"
] | null | null | null | import click
from rlpy.domains import ChainMDP
from rlpy.tools.cli import run_experiment
import methods
def select_domain(chain_size):
return ChainMDP(chain_size=chain_size)
def select_agent(name, domain, max_steps, seed, **kwargs):
if name is None or name == "lspi":
return methods.tabular_lspi(dom... | 28.944444 | 76 | 0.681382 | 138 | 1,042 | 4.876812 | 0.442029 | 0.096582 | 0.118871 | 0.056464 | 0.098068 | 0.098068 | 0.098068 | 0.098068 | 0.098068 | 0 | 0 | 0.017032 | 0.211132 | 1,042 | 35 | 77 | 29.771429 | 0.801703 | 0 | 0 | 0 | 0 | 0 | 0.070058 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.142857 | 0.035714 | 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 |
1f5495f299c3cac72ffba7fb46905bf9c811295d | 694 | py | Python | migrations/versions/6e2656ef034b_.py | haichungcn/h-ticketbox | 37d3a3054a92fbb3702cac10f87621762b68bae2 | [
"Apache-2.0"
] | null | null | null | migrations/versions/6e2656ef034b_.py | haichungcn/h-ticketbox | 37d3a3054a92fbb3702cac10f87621762b68bae2 | [
"Apache-2.0"
] | 1 | 2021-06-02T00:42:03.000Z | 2021-06-02T00:42:03.000Z | migrations/versions/6e2656ef034b_.py | haichungcn/h-ticketbox | 37d3a3054a92fbb3702cac10f87621762b68bae2 | [
"Apache-2.0"
] | null | null | null | """empty message
Revision ID: 6e2656ef034b
Revises: f8f949ce4522
Create Date: 2019-11-26 11:05:54.376467
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '6e2656ef034b'
down_revision = 'f8f949ce4522'
branch_labels = None
depends_on = None
def upgrade():
# ... | 23.931034 | 80 | 0.708934 | 82 | 694 | 5.865854 | 0.573171 | 0.056133 | 0.087318 | 0.095634 | 0.345114 | 0.182952 | 0.182952 | 0.182952 | 0 | 0 | 0 | 0.089655 | 0.164265 | 694 | 28 | 81 | 24.785714 | 0.739655 | 0.425072 | 0 | 0 | 0 | 0 | 0.265193 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 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 |
1f54a8fce56dc2266fdcba4960db2d6b32f72f6a | 1,940 | py | Python | python/heterocl/mlir/context.py | chhzh123/heterocl | 856e9b8ad877d11280a7e457e91ca89803c05570 | [
"Apache-2.0"
] | null | null | null | python/heterocl/mlir/context.py | chhzh123/heterocl | 856e9b8ad877d11280a7e457e91ca89803c05570 | [
"Apache-2.0"
] | null | null | null | python/heterocl/mlir/context.py | chhzh123/heterocl | 856e9b8ad877d11280a7e457e91ca89803c05570 | [
"Apache-2.0"
] | null | null | null | from contextvars import ContextVar
from hcl_mlir.dialects import hcl as hcl_d
from hcl_mlir.ir import *
ImperativeLoopNestCount = ContextVar("ImperativeLoopNestCount", default=1)
ImperativeLoopDepth = ContextVar("ImperativeLoopDepth", default=0)
StageName = ContextVar("StageName", default="")
NestedCompute = ContextV... | 27.714286 | 79 | 0.619588 | 232 | 1,940 | 4.939655 | 0.267241 | 0.020942 | 0.034904 | 0.052356 | 0.027923 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01073 | 0.279381 | 1,940 | 69 | 80 | 28.115942 | 0.809013 | 0.013402 | 0 | 0.036364 | 0 | 0 | 0.107741 | 0.012029 | 0 | 0 | 0 | 0 | 0 | 1 | 0.109091 | false | 0.018182 | 0.054545 | 0.036364 | 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 |
1f572ce92d4767535e92d6069a13c0b878ad4d2b | 1,216 | py | Python | 378. Kth Smallest Element in a Sorted Matrix.py | XinchaoGou/MyLeetCode | bba0ab077374f7da2cb1a990266bc59fa7ddf23c | [
"MIT"
] | null | null | null | 378. Kth Smallest Element in a Sorted Matrix.py | XinchaoGou/MyLeetCode | bba0ab077374f7da2cb1a990266bc59fa7ddf23c | [
"MIT"
] | null | null | null | 378. Kth Smallest Element in a Sorted Matrix.py | XinchaoGou/MyLeetCode | bba0ab077374f7da2cb1a990266bc59fa7ddf23c | [
"MIT"
] | null | null | null | from typing import List
import heapq
# 排序
class Solution:
def kthSmallest(self, matrix: List[List[int]], k: int) -> int:
res = sorted(sum(matrix,[]))
return res[k-1]
# 最小堆维护归并排序
class Solution:
def kthSmallest(self, matrix: List[List[int]], k: int) -> int:
n = len(matrix)
hpq = ... | 27.022222 | 66 | 0.449836 | 162 | 1,216 | 3.376543 | 0.277778 | 0.071298 | 0.087751 | 0.14808 | 0.301645 | 0.301645 | 0.301645 | 0.301645 | 0.301645 | 0.301645 | 0 | 0.029371 | 0.412007 | 1,216 | 44 | 67 | 27.636364 | 0.735664 | 0.013158 | 0 | 0.27027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108108 | false | 0 | 0.054054 | 0 | 0.351351 | 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 |
1f5774372518e14045e4add17d37c16fbf360cfe | 10,289 | py | Python | episim/model.py | jm-begon/episim | 705f80b782c5653a0d8b6e53614f34c12917cb43 | [
"BSD-3-Clause"
] | null | null | null | episim/model.py | jm-begon/episim | 705f80b782c5653a0d8b6e53614f34c12917cb43 | [
"BSD-3-Clause"
] | null | null | null | episim/model.py | jm-begon/episim | 705f80b782c5653a0d8b6e53614f34c12917cb43 | [
"BSD-3-Clause"
] | null | null | null | import os
import datetime
from collections import defaultdict
import numpy as np
from scipy import sparse
from episim.ontology import Ontology
from episim.plot.modeling import System, Accumulator
from .data import State
class EulerSimulator(object):
"""
Explicit Euler method
"""
def __init__(self, ... | 26.180662 | 80 | 0.57197 | 1,297 | 10,289 | 4.298381 | 0.157286 | 0.01722 | 0.018655 | 0.003587 | 0.4287 | 0.357309 | 0.327892 | 0.307085 | 0.259731 | 0.259731 | 0 | 0.009597 | 0.321508 | 10,289 | 392 | 81 | 26.247449 | 0.788999 | 0.055593 | 0 | 0.388 | 0 | 0 | 0.023884 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.144 | false | 0 | 0.032 | 0.048 | 0.312 | 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 |
1f5af941019a09b58bc8c7a46b832a62890985af | 2,446 | py | Python | db/schema.py | aatrubilin/sqlalchemy_sessions | 8f99c3bf42da7224bbb6622ab23222ee1ebf1627 | [
"MIT"
] | null | null | null | db/schema.py | aatrubilin/sqlalchemy_sessions | 8f99c3bf42da7224bbb6622ab23222ee1ebf1627 | [
"MIT"
] | null | null | null | db/schema.py | aatrubilin/sqlalchemy_sessions | 8f99c3bf42da7224bbb6622ab23222ee1ebf1627 | [
"MIT"
] | null | null | null | import logging
from datetime import datetime
import sqlalchemy as sa
import sqlalchemy.orm as so
from .base import Base, Session
__all__ = ["User", "Message"]
logger = logging.getLogger(__name__)
class User(Base):
__tablename__ = "users"
id = sa.Column(sa.Integer, primary_key=True)
nickname = sa.Colu... | 27.795455 | 95 | 0.629191 | 320 | 2,446 | 4.565625 | 0.234375 | 0.049281 | 0.061602 | 0.043806 | 0.292266 | 0.279261 | 0.238193 | 0.11499 | 0.069815 | 0.069815 | 0 | 0 | 0.248978 | 2,446 | 87 | 96 | 28.114943 | 0.795318 | 0 | 0 | 0.215385 | 0 | 0.015385 | 0.061325 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.138462 | false | 0 | 0.076923 | 0.061538 | 0.569231 | 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 |
1f5e5337671f2aa26669d1f985e1feb6f9bb2487 | 3,075 | py | Python | app/eventFrameTemplates/forms.py | DeschutesBrewery/brewerypi | 5459dfc6b1ed415920c13a8a7c9a2d3d3c82099f | [
"MIT"
] | 27 | 2017-11-27T05:01:05.000Z | 2020-11-14T19:52:26.000Z | app/eventFrameTemplates/forms.py | DeschutesBrewery/brewerypi | 5459dfc6b1ed415920c13a8a7c9a2d3d3c82099f | [
"MIT"
] | 259 | 2017-11-23T00:43:26.000Z | 2020-11-03T01:07:30.000Z | app/eventFrameTemplates/forms.py | DeschutesBrewery/brewerypi | 5459dfc6b1ed415920c13a8a7c9a2d3d3c82099f | [
"MIT"
] | 8 | 2018-10-29T04:39:29.000Z | 2020-10-01T22:18:12.000Z | from flask_wtf import FlaskForm
from wtforms import HiddenField, IntegerField, SelectField, StringField, SubmitField, ValidationError
from wtforms.validators import Length, Required
from .. models import EventFrameTemplate
class CopyEventFrameTemplateForm(FlaskForm):
name = StringField("Name", validators = [Required(... | 45.220588 | 152 | 0.766504 | 309 | 3,075 | 7.601942 | 0.226537 | 0.044274 | 0.036186 | 0.068114 | 0.707961 | 0.675181 | 0.675181 | 0.502767 | 0.463602 | 0.397616 | 0 | 0.005285 | 0.138537 | 3,075 | 67 | 153 | 45.895522 | 0.881465 | 0.125203 | 0 | 0.641509 | 0 | 0 | 0.055887 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056604 | false | 0 | 0.075472 | 0 | 0.433962 | 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 |
1f605b59e4b42a83b06301dd95460d66a85a140f | 3,751 | py | Python | flask_demo.py | tlinc/cyber-ng-18 | 40dd088b5785e75e59afded17f71ea50d64ae77f | [
"MIT"
] | null | null | null | flask_demo.py | tlinc/cyber-ng-18 | 40dd088b5785e75e59afded17f71ea50d64ae77f | [
"MIT"
] | null | null | null | flask_demo.py | tlinc/cyber-ng-18 | 40dd088b5785e75e59afded17f71ea50d64ae77f | [
"MIT"
] | null | null | null | import os
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
from cryptography.hazmat.backends import default_backend
from stegano import lsb
from flask import Flask, render_te... | 27.379562 | 76 | 0.643295 | 467 | 3,751 | 5.062099 | 0.30621 | 0.029611 | 0.037225 | 0.040609 | 0.197547 | 0.168359 | 0.168359 | 0.168359 | 0.168359 | 0.168359 | 0 | 0.013633 | 0.217809 | 3,751 | 136 | 77 | 27.580882 | 0.792093 | 0.111704 | 0 | 0.222222 | 0 | 0 | 0.084163 | 0.026848 | 0 | 0 | 0 | 0 | 0 | 1 | 0.077778 | false | 0 | 0.088889 | 0.011111 | 0.244444 | 0.011111 | 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 |
1f61bacc0966d711145c05f1a6526934fd3ce1d0 | 1,585 | py | Python | ex0095.py | EwertonRosendo/PastaDeExercicios | 68d23194b87ce1c8405c70fcceb3378955815d7d | [
"MIT"
] | null | null | null | ex0095.py | EwertonRosendo/PastaDeExercicios | 68d23194b87ce1c8405c70fcceb3378955815d7d | [
"MIT"
] | null | null | null | ex0095.py | EwertonRosendo/PastaDeExercicios | 68d23194b87ce1c8405c70fcceb3378955815d7d | [
"MIT"
] | null | null | null | jogador = dict()
lista_de_jogadores = []
lista = []
print("_"*38)
contador = 0
while True:
jogador["nome"] = str(input("Informe o nome do jogador: ")).strip()
jogador["partidas"] = int(input("Informe quantas partidas foram jogadas: "))
jogador["gols marcados"] = []
for c in range(0, jogador["partidas"])... | 40.641026 | 83 | 0.620189 | 212 | 1,585 | 4.556604 | 0.353774 | 0.057971 | 0.132505 | 0.074534 | 0.141822 | 0.076605 | 0.076605 | 0 | 0 | 0 | 0 | 0.018053 | 0.196215 | 1,585 | 39 | 84 | 40.641026 | 0.740188 | 0.0347 | 0 | 0.157895 | 0 | 0 | 0.284872 | 0.027505 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
1f634bdb1c7a7c3154dda573b13beb16dfe4e289 | 8,568 | py | Python | slide/models.py | AICAN-Research/learn-pathology | 663f9c5f125857badf5bb41b6bfa2d9100578e2e | [
"MIT"
] | 2 | 2021-09-16T08:38:10.000Z | 2021-09-16T10:46:53.000Z | slide/models.py | AICAN-Research/learn-pathology | 663f9c5f125857badf5bb41b6bfa2d9100578e2e | [
"MIT"
] | 6 | 2021-09-20T10:56:21.000Z | 2022-01-05T08:25:17.000Z | slide/models.py | AICAN-Research/learn-pathology | 663f9c5f125857badf5bb41b6bfa2d9100578e2e | [
"MIT"
] | null | null | null | import threading
from io import BytesIO
from django.db import models
import fast
import time
import numpy as np
from PIL import Image
from django.conf import settings
from slide.timing import Timer
from tag.models import Tag
class Slide(models.Model):
"""
Model for whole slide image
"""
name = models.... | 38.25 | 152 | 0.615079 | 1,043 | 8,568 | 4.819751 | 0.198466 | 0.044559 | 0.021484 | 0.03342 | 0.256018 | 0.193754 | 0.163915 | 0.092699 | 0.059678 | 0.02029 | 0 | 0.009794 | 0.285014 | 8,568 | 223 | 153 | 38.421525 | 0.810806 | 0.108193 | 0 | 0.114458 | 0 | 0.012048 | 0.085109 | 0.015983 | 0 | 0 | 0 | 0.008969 | 0 | 1 | 0.084337 | false | 0 | 0.090361 | 0.006024 | 0.331325 | 0.048193 | 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 |
1f641a14add400abd8e0ed7c75835db3c0d6d277 | 742 | py | Python | xpresso/_utils/endpoint_dependant.py | adriangb/xpresso | 43fcc360f7b19c00e0b78480f96390bcb4d28053 | [
"MIT"
] | 75 | 2022-01-18T02:17:57.000Z | 2022-03-24T02:30:04.000Z | xpresso/_utils/endpoint_dependant.py | adriangb/xpresso | 43fcc360f7b19c00e0b78480f96390bcb4d28053 | [
"MIT"
] | 73 | 2022-01-18T03:01:27.000Z | 2022-03-27T16:41:38.000Z | xpresso/_utils/endpoint_dependant.py | adriangb/xpresso | 43fcc360f7b19c00e0b78480f96390bcb4d28053 | [
"MIT"
] | 3 | 2022-01-18T22:47:06.000Z | 2022-01-25T02:03:53.000Z | from __future__ import annotations
import typing
from di.api.providers import CallableProvider, CoroutineProvider
from di.dependant import Dependant
from xpresso.dependencies._dependencies import Depends, DependsMarker
Endpoint = typing.Union[CallableProvider[typing.Any], CoroutineProvider[typing.Any]]
class Endp... | 25.586207 | 84 | 0.677898 | 76 | 742 | 6.328947 | 0.526316 | 0.056133 | 0.074844 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.239892 | 742 | 28 | 85 | 26.5 | 0.852837 | 0 | 0 | 0 | 0 | 0 | 0.010782 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.238095 | 0.047619 | 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 |
1f64ad352e9b9691d83fdce5ed744e84a89c5372 | 13,330 | py | Python | create_pretraining_data_lm.py | twilightdema/ALBERT_Thai | 2c5612237a6843c4949dd941dbcd01ca91f82f2b | [
"Apache-2.0"
] | null | null | null | create_pretraining_data_lm.py | twilightdema/ALBERT_Thai | 2c5612237a6843c4949dd941dbcd01ca91f82f2b | [
"Apache-2.0"
] | 4 | 2020-09-25T22:35:29.000Z | 2022-02-09T23:37:24.000Z | create_pretraining_data_lm.py | twilightdema/ALBERT_Thai | 2c5612237a6843c4949dd941dbcd01ca91f82f2b | [
"Apache-2.0"
] | 1 | 2020-10-17T01:36:03.000Z | 2020-10-17T01:36:03.000Z | # coding=utf-8
# Copyright 2018 The Google AI Team 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 applicabl... | 33.076923 | 117 | 0.692798 | 1,866 | 13,330 | 4.755627 | 0.229904 | 0.018256 | 0.018932 | 0.003944 | 0.208249 | 0.146833 | 0.091053 | 0.057471 | 0.04192 | 0.04192 | 0 | 0.006722 | 0.207577 | 13,330 | 402 | 118 | 33.159204 | 0.833097 | 0.25994 | 0 | 0.14 | 0 | 0 | 0.122476 | 0.005842 | 0 | 0 | 0 | 0 | 0.02 | 1 | 0.056 | false | 0.004 | 0.044 | 0.004 | 0.152 | 0.044 | 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 |
1f6706c7305503eebcfb4dc0e941eec4fd99c3fd | 3,260 | py | Python | src/libcore/tests/test_qmc.py | tizian/layer-laboratory | 008cc94b76127e9eb74227fcd3d0145da8ddec30 | [
"CNRI-Python"
] | 7 | 2020-07-24T03:19:59.000Z | 2022-03-30T10:56:12.000Z | src/libcore/tests/test_qmc.py | tizian/layer-laboratory | 008cc94b76127e9eb74227fcd3d0145da8ddec30 | [
"CNRI-Python"
] | 1 | 2021-04-07T22:30:23.000Z | 2021-04-08T00:55:36.000Z | src/libcore/tests/test_qmc.py | tizian/layer-laboratory | 008cc94b76127e9eb74227fcd3d0145da8ddec30 | [
"CNRI-Python"
] | 2 | 2020-06-08T08:25:09.000Z | 2021-04-05T22:13:08.000Z | import enoki as ek
import pytest
import mitsuba
def r_inv(divisor, index):
factor = 1
value = 0
recip = 1.0 / divisor
while index != 0:
next_val = index // divisor
factor *= recip
value = value * divisor + index - next_val * divisor
index = next_val
return value *... | 28.347826 | 74 | 0.60184 | 481 | 3,260 | 3.989605 | 0.234927 | 0.029182 | 0.046899 | 0.065659 | 0.4716 | 0.460657 | 0.439812 | 0.369463 | 0.342887 | 0.342887 | 0 | 0.092646 | 0.261656 | 3,260 | 114 | 75 | 28.596491 | 0.704612 | 0.01319 | 0 | 0.252874 | 0 | 0 | 0.033904 | 0 | 0 | 0 | 0 | 0 | 0.172414 | 1 | 0.08046 | false | 0 | 0.126437 | 0 | 0.218391 | 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 |
1f69bfc2c5f28e5c08c2ff64bb83de310333e32a | 14,656 | py | Python | train.py | ColinWine/Multi-modal-Multi-label-Facial-Action-Unit-Detection-with-Transformer | 93871bed9078d5bf6b4bb37407c9dce87c569b55 | [
"MIT"
] | null | null | null | train.py | ColinWine/Multi-modal-Multi-label-Facial-Action-Unit-Detection-with-Transformer | 93871bed9078d5bf6b4bb37407c9dce87c569b55 | [
"MIT"
] | null | null | null | train.py | ColinWine/Multi-modal-Multi-label-Facial-Action-Unit-Detection-with-Transformer | 93871bed9078d5bf6b4bb37407c9dce87c569b55 | [
"MIT"
] | null | null | null | import warnings
import torch
from torch.utils.data.dataloader import DataLoader
from torch.optim import lr_scheduler
import numpy as np
from models import *
from dataloader import Aff2CompDataset, SubsetSequentialSampler, SubsetRandomSampler, Prefetcher
from tqdm import tqdm
import os
import time
from sklearn.metrics i... | 42.604651 | 134 | 0.60917 | 1,905 | 14,656 | 4.501312 | 0.177428 | 0.012128 | 0.018192 | 0.030787 | 0.395102 | 0.338542 | 0.294111 | 0.28898 | 0.260058 | 0.189854 | 0 | 0.016751 | 0.246452 | 14,656 | 343 | 135 | 42.728863 | 0.759689 | 0.034047 | 0 | 0.236301 | 0 | 0.003425 | 0.107582 | 0.025888 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030822 | false | 0 | 0.061644 | 0 | 0.113014 | 0.034247 | 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 |
1f6f98de6468e928dedff399ac6db135e5b7f2ec | 18,002 | py | Python | src/agent.py | Lukeeeeee/DataCenterJobSchedulingSolution | 9c62c0039b2dd9e0a1ca5474dc46c8be98a972b3 | [
"MIT"
] | null | null | null | src/agent.py | Lukeeeeee/DataCenterJobSchedulingSolution | 9c62c0039b2dd9e0a1ca5474dc46c8be98a972b3 | [
"MIT"
] | null | null | null | src/agent.py | Lukeeeeee/DataCenterJobSchedulingSolution | 9c62c0039b2dd9e0a1ca5474dc46c8be98a972b3 | [
"MIT"
] | null | null | null | import numpy as np
import tensorflow as tf
import tensorlayer as tl
import datetime
from log import LOG_PATH
import os
import src.visualization as vis
from src.config import Config as con
import tensorflow.contrib as tfcontrib
server_count = con.server_count
server_state_dim = con.server_state_dim
total_server_state_d... | 47.750663 | 118 | 0.575436 | 2,175 | 18,002 | 4.407816 | 0.106667 | 0.028476 | 0.021905 | 0.043809 | 0.520601 | 0.434964 | 0.383227 | 0.358611 | 0.329822 | 0.297695 | 0 | 0.006376 | 0.32913 | 18,002 | 376 | 119 | 47.87766 | 0.787447 | 0.119876 | 0 | 0.241509 | 0 | 0 | 0.04755 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060377 | false | 0.003774 | 0.041509 | 0.003774 | 0.14717 | 0.045283 | 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 |
1f74a2f22700c0cecd865a836091b95cf438f84d | 536 | py | Python | ch06/data.py | stoneflyop1/py_machine_learning | 18fd635d312f957ca4fcc23d856a1bcd4cf95f48 | [
"MIT"
] | null | null | null | ch06/data.py | stoneflyop1/py_machine_learning | 18fd635d312f957ca4fcc23d856a1bcd4cf95f48 | [
"MIT"
] | null | null | null | ch06/data.py | stoneflyop1/py_machine_learning | 18fd635d312f957ca4fcc23d856a1bcd4cf95f48 | [
"MIT"
] | null | null | null | import pandas as pd
#####################
# Load Dataset
# https://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/wdbc.data
df = pd.read_csv('../data/wdbc.data', header=None)
from sklearn.preprocessing import LabelEncoder
X = df.loc[:, 2:].values
y = df.loc[:,1].values
le = LabelEncoder()
... | 28.210526 | 93 | 0.699627 | 85 | 536 | 4.258824 | 0.611765 | 0.044199 | 0.077348 | 0.082873 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012579 | 0.110075 | 536 | 19 | 94 | 28.210526 | 0.746331 | 0.19403 | 0 | 0 | 0 | 0 | 0.046455 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.272727 | 0 | 0.272727 | 0.090909 | 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 |
1f75dc40de3440e94dfc62ec31434b5e0206507e | 733 | py | Python | src/tga_to_jpg.py | NicolasGrosjean/HoI4_Stats | b2b6341e8a0b400255302b277407ea33c1a9833f | [
"MIT"
] | null | null | null | src/tga_to_jpg.py | NicolasGrosjean/HoI4_Stats | b2b6341e8a0b400255302b277407ea33c1a9833f | [
"MIT"
] | null | null | null | src/tga_to_jpg.py | NicolasGrosjean/HoI4_Stats | b2b6341e8a0b400255302b277407ea33c1a9833f | [
"MIT"
] | null | null | null | import argparse
import os
from PIL import Image
def get_args():
parser = argparse.ArgumentParser(description='Transform tga files to jpg')
parser.add_argument('input_dir', type=str, help='Path of input directory containing tga files')
parser.add_argument('output_dir', type=str, help='Path of output direct... | 34.904762 | 101 | 0.682128 | 107 | 733 | 4.46729 | 0.46729 | 0.050209 | 0.07113 | 0.058577 | 0.083682 | 0.083682 | 0 | 0 | 0 | 0 | 0 | 0.001684 | 0.189632 | 733 | 20 | 102 | 36.65 | 0.80303 | 0 | 0 | 0 | 0 | 0 | 0.208731 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.1875 | 0 | 0.3125 | 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 |
1f78bf747e413822fce9fdf17d1c1fc1b0c7a165 | 3,052 | py | Python | src/construction_finder/coderack.py | juliakzn/construction_finder | 92e9f044163fbe8bde3a6c5f9ec125a7ecf96de8 | [
"MIT"
] | null | null | null | src/construction_finder/coderack.py | juliakzn/construction_finder | 92e9f044163fbe8bde3a6c5f9ec125a7ecf96de8 | [
"MIT"
] | null | null | null | src/construction_finder/coderack.py | juliakzn/construction_finder | 92e9f044163fbe8bde3a6c5f9ec125a7ecf96de8 | [
"MIT"
] | null | null | null | import logging
import random
from typing import Dict, List, Tuple, Union
from construction_finder import codelets, frame
logger = logging.getLogger(f"{__name__}")
class SpinResult:
def __init__(
self,
temp_modifier: float,
workspace_modifiers: Union[List[codelets.WorkSpaceModifier], None... | 35.08046 | 118 | 0.656619 | 355 | 3,052 | 5.323944 | 0.219718 | 0.087302 | 0.063492 | 0.058201 | 0.183598 | 0.129101 | 0.129101 | 0.068783 | 0.068783 | 0.068783 | 0 | 0.00488 | 0.261468 | 3,052 | 86 | 119 | 35.488372 | 0.833629 | 0 | 0 | 0.073529 | 0 | 0 | 0.082896 | 0.02654 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.058824 | 0.014706 | 0.279412 | 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 |
1f7babebb7eb438c1f113d421ddd85e8d4dce5ed | 1,713 | py | Python | configuration.py | ewellchen/STIN | 0612a0b56d8caf1f8771ce13a3d8827d26a38f30 | [
"MIT"
] | null | null | null | configuration.py | ewellchen/STIN | 0612a0b56d8caf1f8771ce13a3d8827d26a38f30 | [
"MIT"
] | null | null | null | configuration.py | ewellchen/STIN | 0612a0b56d8caf1f8771ce13a3d8827d26a38f30 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Default configurations of model configuration, training.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path as osp
from typing import Dict
CONFIG = {
'is_train': True,
... | 23.148649 | 65 | 0.549329 | 195 | 1,713 | 4.461538 | 0.364103 | 0.051724 | 0.063218 | 0.087356 | 0.457471 | 0.382759 | 0.382759 | 0.318391 | 0.27931 | 0.147126 | 0 | 0.047502 | 0.287215 | 1,713 | 73 | 66 | 23.465753 | 0.665029 | 0.058377 | 0 | 0.333333 | 0 | 0 | 0.458877 | 0.116188 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.119048 | 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 |
1f7d838dc8f88dc8eef76ebba1d92fdbf66fdaf5 | 54,959 | py | Python | util/configurejson2cmake.py | chentoz/occQt | 9738c26a18ac7757201342a69f95483d435a39fa | [
"MIT"
] | null | null | null | util/configurejson2cmake.py | chentoz/occQt | 9738c26a18ac7757201342a69f95483d435a39fa | [
"MIT"
] | null | null | null | util/configurejson2cmake.py | chentoz/occQt | 9738c26a18ac7757201342a69f95483d435a39fa | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#############################################################################
##
## Copyright (C) 2018 The Qt Company Ltd.
## Contact: https://www.qt.io/licensing/
##
## This file is part of the plugins of the Qt Toolkit.
##
## $QT_BEGIN_LICENSE:GPL-EXCEPT$
## Commercial License Usage
## Licensee... | 34.608942 | 147 | 0.580251 | 5,997 | 54,959 | 5.121227 | 0.142571 | 0.019146 | 0.029891 | 0.012047 | 0.274518 | 0.196243 | 0.155639 | 0.128582 | 0.098496 | 0.084039 | 0 | 0.008092 | 0.293965 | 54,959 | 1,587 | 148 | 34.63075 | 0.783393 | 0.097236 | 0 | 0.171149 | 0 | 0 | 0.265549 | 0.058592 | 0.002445 | 0 | 0 | 0.00126 | 0.00326 | 1 | 0.0326 | false | 0.000815 | 0.00815 | 0 | 0.072535 | 0.0326 | 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 |
1f7e10137722c6fcc224fdac359159dee3d532fc | 819 | py | Python | easy_scrapy/2_beautifulsoup/bs4_3_regex.py | cyfu/web_scrapying | b59a75d3db289032bb9005f062470e8ce745539a | [
"MIT"
] | null | null | null | easy_scrapy/2_beautifulsoup/bs4_3_regex.py | cyfu/web_scrapying | b59a75d3db289032bb9005f062470e8ce745539a | [
"MIT"
] | null | null | null | easy_scrapy/2_beautifulsoup/bs4_3_regex.py | cyfu/web_scrapying | b59a75d3db289032bb9005f062470e8ce745539a | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup
from urllib.request import urlopen
import re
# open and read web page, decode it if it contains Chinese
html = urlopen('https://mofanpy.com/static/scraping/table.html').read().decode('utf-8')
print(html)
# 'lxml' is parser name
soup = BeautifulSoup(html, features='lxml')
# search by tag... | 32.76 | 87 | 0.693529 | 125 | 819 | 4.48 | 0.52 | 0.05 | 0.058929 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002829 | 0.136752 | 819 | 25 | 88 | 32.76 | 0.78925 | 0.218559 | 0 | 0 | 0 | 0 | 0.193701 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.266667 | 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 |
1f8f15b75dc5ee4ca1fc697ef1e5c0863cf598a7 | 1,893 | py | Python | easyTCP/CLIENT/backend/Protocol.py | dsal3389/easyTCP | 0a11ffe4726bfd0461c24fa459e417fd2fe3cd7f | [
"MIT"
] | 4 | 2018-12-09T13:57:59.000Z | 2019-10-19T19:34:28.000Z | easyTCP/CLIENT/backend/Protocol.py | dsal3389/easyTCP | 0a11ffe4726bfd0461c24fa459e417fd2fe3cd7f | [
"MIT"
] | null | null | null | easyTCP/CLIENT/backend/Protocol.py | dsal3389/easyTCP | 0a11ffe4726bfd0461c24fa459e417fd2fe3cd7f | [
"MIT"
] | null | null | null | import asyncio
import json
from ..utils import DEFAULT_SETTINGS
from ..utils.DEFAULT_ENCRYPTION import SERVER_encryption, CLIENT_encryption
def json_dumper(data):
return bytes(json.dumps(data), encoding=DEFAULT_SETTINGS.ENCODING)
def json_loader(data):
return json.loads(str(data, encoding=DEFAULT_S... | 36.403846 | 111 | 0.661912 | 238 | 1,893 | 5.138655 | 0.327731 | 0.07359 | 0.075225 | 0.076043 | 0.057236 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.242472 | 1,893 | 51 | 112 | 37.117647 | 0.852859 | 0.064976 | 0 | 0.078947 | 0 | 0 | 0.022727 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.157895 | false | 0 | 0.105263 | 0.052632 | 0.394737 | 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 |
1f8f9e391109c41227336b2bb762cb77a40123c1 | 6,413 | py | Python | src/harvester.py | bmoxon/azfinsim | 3e203855410abd6c9636377b93ed5d33ac896c41 | [
"MIT"
] | 5 | 2021-02-24T19:10:34.000Z | 2022-02-24T21:11:24.000Z | src/harvester.py | bmoxon/azfinsim | 3e203855410abd6c9636377b93ed5d33ac896c41 | [
"MIT"
] | null | null | null | src/harvester.py | bmoxon/azfinsim | 3e203855410abd6c9636377b93ed5d33ac896c41 | [
"MIT"
] | 2 | 2021-05-03T11:57:31.000Z | 2021-12-09T10:24:29.000Z | #! /usr/bin/env python3
#-- harvest scheduler that runs on the compute pool nodes
import argparse
import time
import sys
import logging
import os
import psutil
from applicationinsights import TelemetryClient
from applicationinsights.logging import LoggingHandler
from getargs import getargs
import azlog
azlog.color=... | 34.478495 | 127 | 0.626072 | 802 | 6,413 | 4.905237 | 0.34414 | 0.027453 | 0.015252 | 0.011439 | 0.11998 | 0.093035 | 0.084392 | 0.038129 | 0.038129 | 0.038129 | 0 | 0.007097 | 0.252924 | 6,413 | 186 | 128 | 34.478495 | 0.814026 | 0.24388 | 0 | 0.220472 | 0 | 0 | 0.151301 | 0.00437 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031496 | false | 0 | 0.07874 | 0 | 0.11811 | 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 |
1f8faaab50ba1792d26b495c5cba37135b67c989 | 7,758 | py | Python | old/model.py | samhippie/shallow-red | 5690cdf380c6e138e25d88e85093738951438298 | [
"MIT"
] | null | null | null | old/model.py | samhippie/shallow-red | 5690cdf380c6e138e25d88e85093738951438298 | [
"MIT"
] | null | null | null | old/model.py | samhippie/shallow-red | 5690cdf380c6e138e25d88e85093738951438298 | [
"MIT"
] | 1 | 2020-03-13T12:53:35.000Z | 2020-03-13T12:53:35.000Z | #!/usr/bin/env python3
#loading tf is slow, so don't do it unless we're using it
USE_TENSORFLOW = False
import collections
import numpy as np
import os
import pickle
if USE_TENSORFLOW:
import tensorflow as tf
from tensorflow import keras
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import modelInput
#use... | 37.298077 | 130 | 0.620907 | 921 | 7,758 | 5.186754 | 0.256243 | 0.046891 | 0.041449 | 0.045426 | 0.305212 | 0.239481 | 0.14821 | 0.113042 | 0.082479 | 0.067406 | 0 | 0.014469 | 0.278422 | 7,758 | 207 | 131 | 37.478261 | 0.838871 | 0.143336 | 0 | 0.267123 | 0 | 0 | 0.01374 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130137 | false | 0.006849 | 0.047945 | 0 | 0.267123 | 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 |
1f9508b579771bc7e41b7b6de9c4a49ddf05f51e | 3,368 | py | Python | models/generatorUnet.py | ctyler9/cartoon-gan | 48ec80cfcf23c6f30c5d1c446c12ff6f9c81afc8 | [
"MIT"
] | 177 | 2020-01-31T08:32:07.000Z | 2022-03-28T02:20:29.000Z | models/generatorUnet.py | ctyler9/cartoon-gan | 48ec80cfcf23c6f30c5d1c446c12ff6f9c81afc8 | [
"MIT"
] | 10 | 2020-06-26T04:46:26.000Z | 2022-02-01T18:17:10.000Z | models/generatorUnet.py | ctyler9/cartoon-gan | 48ec80cfcf23c6f30c5d1c446c12ff6f9c81afc8 | [
"MIT"
] | 44 | 2020-03-11T17:21:51.000Z | 2022-03-16T16:09:22.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
class Bottleneck(nn.Module):
def __init__(self, in_channels, out_channels):
super(Bottleneck, self).__init__()
self.conv = nn.Sequential(
nn.Conv2d(in_channels, in_channels, 1, padding=0, bias=False),
... | 32.384615 | 101 | 0.561758 | 451 | 3,368 | 4.026608 | 0.190687 | 0.082599 | 0.104626 | 0.092511 | 0.378304 | 0.318282 | 0.189427 | 0.1663 | 0.124449 | 0.102423 | 0 | 0.065896 | 0.306116 | 3,368 | 104 | 102 | 32.384615 | 0.711168 | 0.003563 | 0 | 0.193182 | 0 | 0 | 0.002385 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102273 | false | 0 | 0.034091 | 0.034091 | 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 |
1f964a207f38c7145c92fc77855d4848bb25de63 | 1,716 | py | Python | app/calc/utility.py | sajeeshen/WebCalculatorAPI | d951e688e84741cc594877914d292fbddb4e9542 | [
"MIT"
] | null | null | null | app/calc/utility.py | sajeeshen/WebCalculatorAPI | d951e688e84741cc594877914d292fbddb4e9542 | [
"MIT"
] | null | null | null | app/calc/utility.py | sajeeshen/WebCalculatorAPI | d951e688e84741cc594877914d292fbddb4e9542 | [
"MIT"
] | null | null | null | import math
from datetime import datetime
AVAILABLE_ACTIONS = [{'action': 'add', 'admin_required': False,
'operator': '+'},
{'action': 'subtract', 'admin_required': False,
'operator': '-'},
{'action': 'multiply', 'admin_required': Fa... | 28.131148 | 73 | 0.501166 | 185 | 1,716 | 4.545946 | 0.318919 | 0.028537 | 0.057075 | 0.053508 | 0.26635 | 0.047562 | 0.047562 | 0.047562 | 0.047562 | 0.047562 | 0 | 0.001781 | 0.345571 | 1,716 | 60 | 74 | 28.6 | 0.747106 | 0.132284 | 0 | 0.054054 | 0 | 0 | 0.164575 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.135135 | false | 0 | 0.054054 | 0.027027 | 0.324324 | 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 |
2f06bad44169797de0c1276f26ece53ea110fad2 | 6,009 | py | Python | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/commerce/api/v1/models.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 3 | 2021-12-15T04:58:18.000Z | 2022-02-06T12:15:37.000Z | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/commerce/api/v1/models.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | null | null | null | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/commerce/api/v1/models.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 1 | 2019-01-02T14:38:50.000Z | 2019-01-02T14:38:50.000Z | """ API v1 models. """
import logging
from itertools import groupby
from django.db import transaction
from opaque_keys import InvalidKeyError
from opaque_keys.edx.keys import CourseKey
from common.djangoapps.course_modes.models import CourseMode
from lms.djangoapps.verify_student.models import VerificationDeadline
... | 40.328859 | 112 | 0.669496 | 748 | 6,009 | 5.183155 | 0.295455 | 0.035079 | 0.024761 | 0.01625 | 0.069126 | 0.02992 | 0 | 0 | 0 | 0 | 0 | 0.000222 | 0.251955 | 6,009 | 148 | 113 | 40.601351 | 0.862291 | 0.237144 | 0 | 0.083333 | 0 | 0 | 0.067065 | 0.018592 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072917 | false | 0 | 0.083333 | 0 | 0.302083 | 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 |
2f0914ec0565214e9bbc4b09ca688ebda76940dd | 3,428 | py | Python | training_v1_backup/training/PPO/run_ppo.py | prasoonpatidar/multiagentRL-resource-sharing | e63ba7fc3c7ab019e9fd109cd45b739e3322152f | [
"MIT"
] | null | null | null | training_v1_backup/training/PPO/run_ppo.py | prasoonpatidar/multiagentRL-resource-sharing | e63ba7fc3c7ab019e9fd109cd45b739e3322152f | [
"MIT"
] | null | null | null | training_v1_backup/training/PPO/run_ppo.py | prasoonpatidar/multiagentRL-resource-sharing | e63ba7fc3c7ab019e9fd109cd45b739e3322152f | [
"MIT"
] | null | null | null | '''
Wrapper function to run PPO algorithm for training
'''
import numpy as np
import matplotlib.pyplot as plt
import time
import math
import logging
from scipy.optimize import minimize, LinearConstraint
# custom libraries
from training.PPO.run_helper import buyerPenaltiesCalculator, buyerUtilitiesCalculator, evaluati... | 38.516854 | 130 | 0.698658 | 388 | 3,428 | 5.927835 | 0.322165 | 0.046957 | 0.04 | 0.015652 | 0.144348 | 0.144348 | 0.118261 | 0.086957 | 0.086957 | 0.064348 | 0 | 0.005678 | 0.229288 | 3,428 | 88 | 131 | 38.954545 | 0.864875 | 0.151984 | 0 | 0.04 | 0 | 0 | 0.038141 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02 | false | 0.04 | 0.16 | 0 | 0.18 | 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 |
2f0957f3db94b5ef71452361a51b110a5a627030 | 14,927 | py | Python | mlprogram/entrypoint/train.py | HiroakiMikami/mlprogram | 573e94c567064705fa65267dd83946bf183197de | [
"MIT"
] | 9 | 2020-05-24T11:25:01.000Z | 2022-03-28T15:32:10.000Z | mlprogram/entrypoint/train.py | HiroakiMikami/mlprogram | 573e94c567064705fa65267dd83946bf183197de | [
"MIT"
] | 87 | 2020-05-09T08:56:55.000Z | 2022-03-31T14:46:45.000Z | mlprogram/entrypoint/train.py | HiroakiMikami/NL2Prog | 573e94c567064705fa65267dd83946bf183197de | [
"MIT"
] | 3 | 2021-02-22T20:38:29.000Z | 2021-11-11T18:48:44.000Z | import os
import traceback
from dataclasses import dataclass
from typing import Any, Callable, List, Optional, Union
import pytorch_pfn_extras as ppe
import torch
from pytorch_pfn_extras.training import extension, extensions
from torch import nn
from torch.utils.data import DataLoader
from mlprogram import distribute... | 37.599496 | 88 | 0.554231 | 1,469 | 14,927 | 5.397549 | 0.1484 | 0.018918 | 0.027242 | 0.018161 | 0.53752 | 0.479506 | 0.454156 | 0.436751 | 0.379493 | 0.359945 | 0 | 0.002602 | 0.356401 | 14,927 | 396 | 89 | 37.694444 | 0.822733 | 0.005158 | 0 | 0.486647 | 0 | 0 | 0.043048 | 0.004716 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04451 | false | 0 | 0.038576 | 0.011869 | 0.139466 | 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 |
2f09b816cae5d16accf1cca62376da23fd995e52 | 3,381 | py | Python | visualization.py | aditya-srikanth/Data-Mining-Assignment-3 | 7dc44d7ca8884680130db9b52a75e3036cf2f8a7 | [
"MIT"
] | null | null | null | visualization.py | aditya-srikanth/Data-Mining-Assignment-3 | 7dc44d7ca8884680130db9b52a75e3036cf2f8a7 | [
"MIT"
] | null | null | null | visualization.py | aditya-srikanth/Data-Mining-Assignment-3 | 7dc44d7ca8884680130db9b52a75e3036cf2f8a7 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import math
import numpy as np
class Visualization:
"""
This class contains methods for reducing the dimensions of the points to 2-D and
visualization of the reduced points.
Attributes
----------
OUTLIERS : list
List of points marked as outlier... | 34.85567 | 121 | 0.55102 | 405 | 3,381 | 4.51358 | 0.259259 | 0.060175 | 0.05744 | 0.036105 | 0.501094 | 0.410284 | 0.342451 | 0.272429 | 0.272429 | 0.272429 | 0 | 0.014072 | 0.348418 | 3,381 | 97 | 122 | 34.85567 | 0.815706 | 0.317658 | 0 | 0.2 | 0 | 0 | 0.018443 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088889 | false | 0 | 0.066667 | 0 | 0.2 | 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 |
2f0df6e28987fcaa913b236b22575fcae954bfe4 | 3,639 | py | Python | robotidy/transformers/ext_ExtraIndentForKeywordArguments.py | josflorap/robotframework-tidy | 9d4e1ccc6a50c415187468305235830f80f3373b | [
"Apache-2.0"
] | null | null | null | robotidy/transformers/ext_ExtraIndentForKeywordArguments.py | josflorap/robotframework-tidy | 9d4e1ccc6a50c415187468305235830f80f3373b | [
"Apache-2.0"
] | null | null | null | robotidy/transformers/ext_ExtraIndentForKeywordArguments.py | josflorap/robotframework-tidy | 9d4e1ccc6a50c415187468305235830f80f3373b | [
"Apache-2.0"
] | null | null | null | from robot.api.parsing import ModelTransformer, get_model, ModelVisitor, Token
import os, sys
keywordlist = []
other_keywords = []
used_keywords = []
class ext_ExtraIndentForKeywordArguments(ModelTransformer):
def __init__(self):
self.cont = 0
def visit_File(self, node):
# Get keywords in py... | 50.541667 | 140 | 0.569387 | 437 | 3,639 | 4.636156 | 0.242563 | 0.049358 | 0.019743 | 0.027641 | 0.441757 | 0.37463 | 0.245805 | 0.135242 | 0.076012 | 0.076012 | 0 | 0.009858 | 0.303105 | 3,639 | 71 | 141 | 51.253521 | 0.789038 | 0.141797 | 0 | 0.245283 | 0 | 0 | 0.031501 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09434 | false | 0 | 0.037736 | 0 | 0.207547 | 0.113208 | 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 |
2f0e2ccc0b7fb78f69f72c37d56b7289930132ef | 6,581 | py | Python | Common/Strategies/TechIndicators/MacdStrategy.py | enriqueescobar-askida/Kinito.Finance | 5308748b64829ac798a858161f9b4a9e5829db44 | [
"MIT"
] | 2 | 2020-03-04T11:18:38.000Z | 2020-05-10T15:36:42.000Z | Common/Strategies/TechIndicators/MacdStrategy.py | enriqueescobar-askida/Kinito.Finance | 5308748b64829ac798a858161f9b4a9e5829db44 | [
"MIT"
] | 6 | 2020-03-30T16:42:47.000Z | 2021-12-13T20:37:21.000Z | Common/Strategies/TechIndicators/MacdStrategy.py | enriqueescobar-askida/Kinito.Finance | 5308748b64829ac798a858161f9b4a9e5829db44 | [
"MIT"
] | 1 | 2020-04-14T11:26:16.000Z | 2020-04-14T11:26:16.000Z | from typing import Tuple
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from Common.Strategies.TechIndicators.AbstractTechStrategy import AbstractTechStrategy
from Common.TechIndicators.MacdIndicator import MacdIndicator
class MacdStrategy(AbstractTechStrategy):
_macd_indicator: MacdIndica... | 46.34507 | 124 | 0.621942 | 856 | 6,581 | 4.502336 | 0.146028 | 0.128179 | 0.158796 | 0.062273 | 0.573949 | 0.447846 | 0.375714 | 0.305656 | 0.281266 | 0.281266 | 0 | 0.01481 | 0.251026 | 6,581 | 141 | 125 | 46.673759 | 0.767093 | 0.018538 | 0 | 0.193548 | 0 | 0 | 0.019377 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056452 | false | 0 | 0.048387 | 0.008065 | 0.169355 | 0.016129 | 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 |
2f1305b235214a028b433be662b9539aa5ea50e7 | 7,572 | py | Python | dayu_widgets/wizard.py | xiaonuoAndy/dayu_widgets | 0a87e40b5b3b10e9f1f3f98c17a252c107118257 | [
"MIT"
] | null | null | null | dayu_widgets/wizard.py | xiaonuoAndy/dayu_widgets | 0a87e40b5b3b10e9f1f3f98c17a252c107118257 | [
"MIT"
] | null | null | null | dayu_widgets/wizard.py | xiaonuoAndy/dayu_widgets | 0a87e40b5b3b10e9f1f3f98c17a252c107118257 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
###################################################################
# Author: Mu yanru
# Date : 2018.5
# Email : muyanru345@163.com
###################################################################
from collections import defaultdict
import utils
from qt import *
from s... | 34.108108 | 100 | 0.633386 | 876 | 7,572 | 5.221461 | 0.207763 | 0.035418 | 0.0446 | 0.019676 | 0.183865 | 0.081329 | 0.069961 | 0.049847 | 0.018365 | 0 | 0 | 0.006554 | 0.234284 | 7,572 | 221 | 101 | 34.262443 | 0.782339 | 0.029583 | 0 | 0.093567 | 0 | 0.005848 | 0.1267 | 0.006245 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0.017544 | 0.040936 | 0.023392 | 0.251462 | 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 |
2f14ec3187ef5944e2d523b10e6eabf13148caae | 897 | py | Python | examples/TechChangeModel.py | timkittel/PyViability | 63b628df47ab506e9317a908a63a49a556232137 | [
"BSD-2-Clause"
] | null | null | null | examples/TechChangeModel.py | timkittel/PyViability | 63b628df47ab506e9317a908a63a49a556232137 | [
"BSD-2-Clause"
] | null | null | null | examples/TechChangeModel.py | timkittel/PyViability | 63b628df47ab506e9317a908a63a49a556232137 | [
"BSD-2-Clause"
] | null | null | null |
from __future__ import division, print_function, generators
import numpy as np
pi = np.pi
def techChange_rhs(uB_pB, t, rvar, pBmin, pE, delta, smax, sBmax):
uB, pB = uB_pB
if sBmax == 0.:
p = pE
else:
if smax < sBmax * uB:
p = pE + smax / uB
else:
p = s... | 20.860465 | 68 | 0.528428 | 133 | 897 | 3.466165 | 0.308271 | 0.052061 | 0.095445 | 0.039046 | 0.416486 | 0.416486 | 0.416486 | 0.416486 | 0.416486 | 0.416486 | 0 | 0.013051 | 0.316611 | 897 | 42 | 69 | 21.357143 | 0.738989 | 0.040134 | 0 | 0.384615 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0 | 0.076923 | 0 | 0.307692 | 0.038462 | 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 |
2f1545a93541c971b7ff89f3c71a62f913a542c9 | 2,502 | py | Python | tests/test_heif.py | Cykooz/cykooz.heif | cfd60687406763503a57fe949bdf01fb9997cae8 | [
"MIT"
] | 5 | 2020-03-05T20:31:23.000Z | 2021-11-24T00:22:18.000Z | tests/test_heif.py | Cykooz/cykooz.heif | cfd60687406763503a57fe949bdf01fb9997cae8 | [
"MIT"
] | 3 | 2021-01-14T15:23:04.000Z | 2021-11-24T00:30:37.000Z | tests/test_heif.py | Cykooz/cykooz.heif | cfd60687406763503a57fe949bdf01fb9997cae8 | [
"MIT"
] | 1 | 2020-06-12T01:29:10.000Z | 2020-06-12T01:29:10.000Z | # -*- coding: utf-8 -*-
"""
:Authors: cykooz
:Date: 23.06.2019
"""
from pathlib import Path
import piexif
import pytest
from PIL import Image
from cykooz.heif.errors import HeifError
from cykooz.heif.image import RawHeifImage
from cykooz.heif.pil import register_heif_opener
@pytest.fixture(scope='session', autouse=... | 24.529412 | 79 | 0.63709 | 355 | 2,502 | 4.315493 | 0.287324 | 0.082245 | 0.031332 | 0.041775 | 0.510444 | 0.456919 | 0.405352 | 0.362272 | 0.362272 | 0.313969 | 0 | 0.062984 | 0.225819 | 2,502 | 101 | 80 | 24.772277 | 0.72793 | 0.028777 | 0 | 0.378378 | 0 | 0 | 0.082197 | 0 | 0 | 0 | 0 | 0 | 0.324324 | 1 | 0.094595 | false | 0 | 0.094595 | 0.013514 | 0.202703 | 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 |
2f15770186ad88ae65932854e1cbbe4f54f58e9d | 3,960 | py | Python | ambari-agent/src/main/python/ambari_agent/StatusCommandsExecutor.py | risdenk/ambari | 3809bdc6d5fe367c2c3207812ee42856214db8de | [
"Apache-2.0"
] | null | null | null | ambari-agent/src/main/python/ambari_agent/StatusCommandsExecutor.py | risdenk/ambari | 3809bdc6d5fe367c2c3207812ee42856214db8de | [
"Apache-2.0"
] | 1 | 2018-10-22T17:50:00.000Z | 2018-10-22T17:50:00.000Z | ambari-agent/src/main/python/ambari_agent/StatusCommandsExecutor.py | risdenk/ambari | 3809bdc6d5fe367c2c3207812ee42856214db8de | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
'''
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License");... | 41.684211 | 195 | 0.769192 | 479 | 3,960 | 6.256785 | 0.415449 | 0.047714 | 0.026693 | 0.024024 | 0.102436 | 0.058058 | 0.028695 | 0 | 0 | 0 | 0 | 0.002991 | 0.155808 | 3,960 | 94 | 196 | 42.12766 | 0.893509 | 0.330303 | 0 | 0.115385 | 0 | 0.019231 | 0.161782 | 0.044538 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096154 | false | 0 | 0.153846 | 0 | 0.269231 | 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 |
2f16819a3d5eb873ef8eef277cfd895042d5e5d1 | 5,630 | py | Python | blender/addons/2.8/mifth_tools/mifth_tools_ui.py | feynmanliang/mifthtools | cf99bc5811215a8747c43d84895ba4fa806812b7 | [
"BSD-3-Clause"
] | null | null | null | blender/addons/2.8/mifth_tools/mifth_tools_ui.py | feynmanliang/mifthtools | cf99bc5811215a8747c43d84895ba4fa806812b7 | [
"BSD-3-Clause"
] | null | null | null | blender/addons/2.8/mifth_tools/mifth_tools_ui.py | feynmanliang/mifthtools | cf99bc5811215a8747c43d84895ba4fa806812b7 | [
"BSD-3-Clause"
] | null | null | null | import bpy
from bpy.props import *
from bpy.types import Operator, AddonPreferences
class MFT_PT_PanelPose(bpy.types.Panel):
bl_label = "Bones"
bl_space_type = 'VIEW_3D'
bl_region_type = 'UI'
bl_context = "posemode"
bl_category = 'Mifth'
# bl_options = {'DEFAULT_CLOSED'}
def draw(self, co... | 37.533333 | 89 | 0.675311 | 574 | 5,630 | 6.480836 | 0.250871 | 0.053763 | 0.063978 | 0.020161 | 0.365323 | 0.270161 | 0.228495 | 0.228495 | 0.206452 | 0.206452 | 0 | 0.001107 | 0.197513 | 5,630 | 149 | 90 | 37.785235 | 0.822266 | 0.049911 | 0 | 0.392857 | 0 | 0 | 0.27111 | 0.058603 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044643 | false | 0 | 0.026786 | 0 | 0.339286 | 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 |