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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
18adcb2fa83f91c7182a28396fc3bead551cb5cb | 16,067 | py | Python | experimental/ini/iniParser.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | 2 | 2020-12-25T19:37:42.000Z | 2021-03-26T04:59:12.000Z | experimental/ini/iniParser.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | 6 | 2018-08-07T22:48:52.000Z | 2021-10-07T18:38:20.000Z | experimental/ini/iniParser.py | jecki/DHParser | c6c1bd7db2de85b5997a3640242f4f444532304e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
#######################################################################
#
# SYMBOLS SECTION - Can be edited. Changes will be preserved.
#
#######################################################################
import collections
from functools import partial
import os
import sys
from typing im... | 38.346062 | 111 | 0.631107 |
55f342b567b885ff05873d6baee7f672da598dcd | 694 | py | Python | Course_1/Week_01/2_MergeSort.py | KnightZhang625/Stanford_Algorithm | 7dacbbfa50e7b0e8380cf500df24af60cb9f42df | [
"Apache-2.0"
] | null | null | null | Course_1/Week_01/2_MergeSort.py | KnightZhang625/Stanford_Algorithm | 7dacbbfa50e7b0e8380cf500df24af60cb9f42df | [
"Apache-2.0"
] | 1 | 2020-07-16T08:03:22.000Z | 2020-07-16T08:09:34.000Z | Course_1/Week_01/2_MergeSort.py | KnightZhang625/Stanford_Algorithm | 7dacbbfa50e7b0e8380cf500df24af60cb9f42df | [
"Apache-2.0"
] | null | null | null | def merge(array_a, array_b):
len_a = len(array_a)
len_b = len(array_b)
len_all = len_a + len_b
i, j = 0, 0
sorted_array = []
while (i < len_a) and (j < len_b):
if i < len_a and array_a[i] < array_b[j]:
sorted_array.append(array_a[i])
i +=1
elif j < len_b and array_b[j] <= array_a[i]:
sorted_array.a... | 20.411765 | 46 | 0.646974 |
184e4e9747235cc02a243e6edced841236d8720e | 1,087 | py | Python | sketches/rpg01/player.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/rpg01/player.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/rpg01/player.py | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | class Player():
def __init__(self):
self.pos = PVector(width/2, height/2)
self.w = self.h = 32
self.max_speed = 6
self.speed = PVector(0, 0)
self.img = loadImage("knt1_fr1.gif")
self.debug = True # False
def update(self):
if self.speed.x >= s... | 31.057143 | 69 | 0.5115 |
a11fabb4d32a8c919c79c0a41d532618ee61d06a | 706 | py | Python | Bibliothek/urls.py | wmles/scholarium.at | d2356b3e475df772382e035ddcb839fc7dae4305 | [
"MIT"
] | 1 | 2017-07-24T10:19:36.000Z | 2017-07-24T10:19:36.000Z | Bibliothek/urls.py | wmles/scholarium.at | d2356b3e475df772382e035ddcb839fc7dae4305 | [
"MIT"
] | 9 | 2017-07-26T14:16:08.000Z | 2022-03-11T23:14:40.000Z | Bibliothek/urls.py | wmles/scholarium.at | d2356b3e475df772382e035ddcb839fc7dae4305 | [
"MIT"
] | 1 | 2017-03-07T12:38:23.000Z | 2017-03-07T12:38:23.000Z | from django.conf.urls import url
from . import views, models
from Grundgeruest.views import ListeMitMenue, DetailMitMenue, TemplateMitMenue
from Bibliothek.views import liste_buecher
app_name = 'Bibliothek'
urlpatterns = [
url(r'^$', liste_buecher, name='liste_alle'),
url(r'^(?P<slug>[\w-]+)$',
... | 32.090909 | 85 | 0.63881 |
a13cea63e454508747ca7e8809dc92b2c8a0cf7f | 354 | py | Python | lintcode/000-394-Coins-in-a-Line/CoinsinaLine_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2017-05-18T06:11:02.000Z | 2017-05-18T06:11:02.000Z | lintcode/000-394-Coins-in-a-Line/CoinsinaLine_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | lintcode/000-394-Coins-in-a-Line/CoinsinaLine_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution:
# @param n: an integer
# @return: a boolean which equals to True if the first player will win
def firstWillWin(self, n):
# write your code here
if n == 0:
return False
a, b = True, True
for i in range(2, n):
c = not (a and b)
... | 22.125 | 74 | 0.5 |
b1295bc7e603c668ad174d6c254660388fc3e902 | 30,832 | py | Python | ECMan.py | greenorca/ECMan | 744cb2ec97d52a68d45cf40a967ac60b92dafbb4 | [
"MIT"
] | null | null | null | ECMan.py | greenorca/ECMan | 744cb2ec97d52a68d45cf40a967ac60b92dafbb4 | [
"MIT"
] | 9 | 2019-05-11T19:53:01.000Z | 2020-11-10T07:24:14.000Z | ECMan.py | greenorca/ECMan | 744cb2ec97d52a68d45cf40a967ac60b92dafbb4 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import ctypes
import os, os.path
import time
import socket
import subprocess
import sys
import webbrowser
from configparser import ConfigParser
from datetime import date
from pathlib import Path
from PySide2.QtCore import QEvent, Qt, QThreadPool
from PySide2.QtGui import QTextDocument, QKeySequence... | 40.250653 | 172 | 0.613162 |
621517036485094f30b5bb05ddcd08906e011f43 | 704 | py | Python | pacman-termux/test/pacman/tests/epoch005.py | Maxython/pacman-for-termux | 3b208eb9274cbfc7a27fca673ea8a58f09ebad47 | [
"MIT"
] | 23 | 2021-05-21T19:11:06.000Z | 2022-03-31T18:14:20.000Z | source/pacman-6.0.1/test/pacman/tests/epoch005.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 11 | 2021-05-21T12:08:44.000Z | 2021-12-21T08:30:08.000Z | source/pacman-6.0.1/test/pacman/tests/epoch005.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "Sysupgrade with sync packages having absurd epochs"
versions = (
"1234327518932650063289125782697890:1.0-1",
"1234327518932650063289125782697891:0.9-1",
"1234327518932650063289125782697891:1.0-1",
"1234327518932650063289125782697891:1.1-1",
"1234327518932650063289125782697892:1.0-1",
)
pkgver... | 27.076923 | 71 | 0.715909 |
b2ab6c0adc50778427c8d58a26038af456cc76a4 | 6,171 | py | Python | html_generiloj/generi.py | junefish/kurso-zagreba-metodo | d057192dd28b85710614cdf2425bebd52d04b775 | [
"CC-BY-4.0"
] | 124 | 2016-03-22T16:53:28.000Z | 2022-03-10T15:10:10.000Z | html_generiloj/generi.py | junefish/kurso-zagreba-metodo | d057192dd28b85710614cdf2425bebd52d04b775 | [
"CC-BY-4.0"
] | 55 | 2016-02-01T19:47:49.000Z | 2022-02-23T00:00:15.000Z | html_generiloj/generi.py | junefish/kurso-zagreba-metodo | d057192dd28b85710614cdf2425bebd52d04b775 | [
"CC-BY-4.0"
] | 55 | 2016-02-16T19:18:49.000Z | 2021-07-04T22:33:33.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import shutil
import re
import yaml, jinja2, mistune
import sys
sys.path = ['./genanki'] + sys.path
import genanki
def render_page(name, enhavo, vojprefikso, env, output_path):
rendered = env.get_template(name + '.html').render(
enhavo = enhavo,
... | 28.702326 | 116 | 0.585318 |
a2376bbaddfb4fa76e870bc8596da2c89ffc73ea | 190 | py | Python | exercises/zh/test_03_14_03.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/zh/test_03_14_03.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/zh/test_03_14_03.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | def test():
assert (
"patterns = list(nlp.pipe(people))" in __solution__
), "你有用list将nlp.pipe的结果变为列表吗？"
__msg__.good(
"干得漂亮！接下来我们看一个实际例子，用nlp.pipe来处理文档生成更多的元数据。"
)
| 21.111111 | 59 | 0.647368 |
0c313f9f68160135394839effecf9e3e6d70e7d9 | 488 | py | Python | cloudmesh/volume/azure/azuretest2.py | cloudmesh/cloudmesh-volume | a7502d077f2fb7c6b1b7986da9595a36591b06cd | [
"Apache-2.0"
] | 1 | 2020-03-12T09:49:53.000Z | 2020-03-12T09:49:53.000Z | cloudmesh/volume/azure/azuretest2.py | cloudmesh/cloudmesh-volume | a7502d077f2fb7c6b1b7986da9595a36591b06cd | [
"Apache-2.0"
] | 1 | 2020-03-25T00:47:12.000Z | 2020-03-30T23:32:00.000Z | cloudmesh/volume/azure/azuretest2.py | cloudmesh/cloudmesh-volume | a7502d077f2fb7c6b1b7986da9595a36591b06cd | [
"Apache-2.0"
] | 5 | 2020-02-20T01:04:24.000Z | 2020-05-05T14:36:30.000Z | from cloudmesh.volume.azure.Provider import Provider as AZProvider
from pprint import pprint
from cloudmesh.common.util import path_expand
configuration = path_expand("~/.cloudmesh/cloudmesh.yaml")
p = AZProvider(name="azure",
configuration=configuration)
print(p)
# pprint(p.create())
# pprint(p.dele... | 22.181818 | 66 | 0.704918 |
0c352032b1adc5a94f8e196622a3af10c212a7ba | 176 | py | Python | src/onegov/file/models/associated_files.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/file/models/associated_files.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/file/models/associated_files.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.core.orm.abstract import associated
from onegov.file.models.file import File
class AssociatedFiles(object):
files = associated(File, 'files', 'one-to-many')
| 22 | 52 | 0.761364 |
a74dc3247e6096bdbe3597f25d5184eef5da77d6 | 1,761 | py | Python | RDS/circle1_adapters_and_ports/port_openscienceframework/src/server.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 10 | 2020-06-24T08:22:24.000Z | 2022-01-13T16:17:36.000Z | RDS/circle1_adapters_and_ports/port_openscienceframework/src/server.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 78 | 2020-01-23T14:32:06.000Z | 2022-03-07T14:11:16.000Z | RDS/circle1_adapters_and_ports/port_openscienceframework/src/server.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 1 | 2020-06-24T08:33:48.000Z | 2020-06-24T08:33:48.000Z | #!/usr/bin/env python
from RDS import Util, OAuth2Service, FileTransferMode, FileTransferArchive
from __init__ import app
import os
redirect_uri = os.getenv("RDS_OAUTH_REDIRECT_URI", "")
osf_address = os.getenv("OPENSCIENCEFRAMEWORK_ADDRESS",
"https://accounts.test.osf.io")
osf_oauth_token_ur... | 42.95122 | 229 | 0.756388 |
65f0cca4bb806352821f7fd963673f220fc653f5 | 8,596 | py | Python | src/database.py | minhluu2000/AggiePass | a86198b26e5fbec0f2de68f88fc4fd6aac362233 | [
"MIT"
] | null | null | null | src/database.py | minhluu2000/AggiePass | a86198b26e5fbec0f2de68f88fc4fd6aac362233 | [
"MIT"
] | null | null | null | src/database.py | minhluu2000/AggiePass | a86198b26e5fbec0f2de68f88fc4fd6aac362233 | [
"MIT"
] | null | null | null | """
This library contains all the functions needed to
setup the database system for the password manager.
The mydb class is based on:
https://www.tutorialspoint.com/postgresql/index.htm
"""
import psycopg2
from sqlalchemy import create_engine
import pandas as pd
import pandas.io.sql as psqlio
from constant impor... | 34.66129 | 92 | 0.551303 |
0c82de2e9e9fb1a0d7e34e759e76e5774a646038 | 14,266 | py | Python | larq_compute_engine/tf/python/modelconverter.py | timdebruin/compute-engine | bdd3c080ea330ad911cfb6b02dd41b6c574a7cf4 | [
"Apache-2.0"
] | null | null | null | larq_compute_engine/tf/python/modelconverter.py | timdebruin/compute-engine | bdd3c080ea330ad911cfb6b02dd41b6c574a7cf4 | [
"Apache-2.0"
] | null | null | null | larq_compute_engine/tf/python/modelconverter.py | timdebruin/compute-engine | bdd3c080ea330ad911cfb6b02dd41b6c574a7cf4 | [
"Apache-2.0"
] | null | null | null | """TF lite converter for larq models."""
import tensorflow as tf
import numpy as np
import larq as lq
from larq_compute_engine import bsign, bconv2d64
from larq_compute_engine.tf.python.utils import tf_2_or_newer
from tensorflow.keras.utils import get_custom_objects
get_custom_objects()["bsign"] = bsign
quantizer_re... | 38.661247 | 210 | 0.599467 |
b2c6e1abf361d80fc7a7a103344f7fd480cefad9 | 979 | py | Python | classification_snips/classifier/test.py | Ilgmi/IWIbot | c5ac71865fbb11f1676ec3239b96bab8e22257ee | [
"Apache-2.0"
] | null | null | null | classification_snips/classifier/test.py | Ilgmi/IWIbot | c5ac71865fbb11f1676ec3239b96bab8e22257ee | [
"Apache-2.0"
] | null | null | null | classification_snips/classifier/test.py | Ilgmi/IWIbot | c5ac71865fbb11f1676ec3239b96bab8e22257ee | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals, print_function
import json
from pathlib import Path
from snips_nlu import SnipsNLUEngine, load_resources
from snips_nlu.default_configs import CONFIG_DE
SAMPLE_DATASET_PATH = Path(__file__).parent / "dataset_de.json"
PERSIST_PATH = Path(__file__).parent / "persist_data"
with... | 27.971429 | 63 | 0.782431 |
651c22a95915c9eb540f6a57683e6ad7c2c827e0 | 1,193 | py | Python | web/MicroservicesAsAservice/src/notes/redis_userdata/app.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | 65 | 2019-10-07T01:29:16.000Z | 2022-03-18T14:20:40.000Z | web/MicroservicesAsAservice/src/notes/redis_userdata/app.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | null | null | null | web/MicroservicesAsAservice/src/notes/redis_userdata/app.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | 12 | 2020-05-04T01:16:53.000Z | 2022-01-02T14:33:41.000Z | from flask import Flask, request, jsonify
import redis
import random
import os
import os
app = Flask(__name__)
@app.route('/adduser')
def adduser():
port = random.randint(50000, 60000)
if os.system(f"redis-server --port {port} --daemonize yes --protected-mode no") == 0:
return str(port), 200
else... | 23.392157 | 89 | 0.574183 |
3369bf8918a3a2525eef32cad96f1c6cefae6cbd | 1,031 | py | Python | src/test/tests/rendering/image.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/test/tests/rendering/image.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/test/tests/rendering/image.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | # ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: image.py
#
# Tests: mesh - 2D curvilinear, single domain
# plots - Pseudocolor
# annotations - Image
#
# Defect ID: None
#
# Programmer: Kathleen Biagas
#... | 22.413043 | 78 | 0.558681 |
c5d0fa98e6e3e8656b5e077fdd3daf700e23be07 | 483 | py | Python | codeit/algorithm/merge.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | codeit/algorithm/merge.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | codeit/algorithm/merge.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | def merge(list1, list2):
result = list()
while list1 and list2:
if list1[0] < list2[0]:
result.append(list1.pop(0))
else:
result.append(list2.pop(0))
result += list1 + list2
return result
if __name__ == '__main__':
print(merge([1], []))
print(merge([],[... | 25.421053 | 44 | 0.498965 |
c5e6321835a9f9f8a51a46a38ee098d202ecb3ee | 5,433 | py | Python | module/pollingRSShub.py | lonelyion/TweetToBot-Docker | ea91a9d93bad2b757c2ba0923ae9f1cd0f5ac278 | [
"MIT"
] | null | null | null | module/pollingRSShub.py | lonelyion/TweetToBot-Docker | ea91a9d93bad2b757c2ba0923ae9f1cd0f5ac278 | [
"MIT"
] | null | null | null | module/pollingRSShub.py | lonelyion/TweetToBot-Docker | ea91a9d93bad2b757c2ba0923ae9f1cd0f5ac278 | [
"MIT"
] | null | null | null | # -*- coding: UTF-8 -*-
import time
import traceback
import threading
import random
import module.msgStream as msgStream
from load_config import config
from module.RSShubApiPackage import RSShubsPackage
from module.RSS import pushlist, rsshubevendeal
from helper import getlogger, data_read_auto, data_save, TempMemory
... | 31.224138 | 106 | 0.607767 |
76405436971163e38fd9c6d64befabbcef77cdaf | 4,868 | py | Python | quant/datafeed.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 7 | 2017-10-22T15:00:09.000Z | 2019-09-19T11:45:43.000Z | quant/datafeed.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 1 | 2018-01-19T16:19:40.000Z | 2018-01-19T16:19:40.000Z | quant/datafeed.py | doubleDragon/QuantBot | 53a1d6c62ecece47bf777da0c0754430b706b7fd | [
"MIT"
] | 5 | 2017-12-11T15:10:29.000Z | 2018-12-21T17:40:58.000Z | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
import config
import time
import logging
from concurrent.futures import ThreadPoolExecutor, wait
import traceback
import sys
import signal
from quant.tool import email_box
from markets.market_factory import create_markets
is_sigint_up = False
def sigint_handler(signu... | 28.97619 | 113 | 0.579293 |
76935ed74be01590230deb2f43edaabedfb88b82 | 331 | py | Python | intro_to_algos_2020_mit/ps3/count_anagram_substrings.py | venu-gopal-myneni/assignments | 871148ccaa6291539623fc7d3f9704cb497fbcb6 | [
"MIT"
] | 1 | 2022-02-26T13:52:31.000Z | 2022-02-26T13:52:31.000Z | assignments/ps3-template/count_anagram_substrings.py | tallamjr/mit-6006 | c2aa6bb48edef5800c0779ba2eebd697d44249b5 | [
"MIT"
] | null | null | null | assignments/ps3-template/count_anagram_substrings.py | tallamjr/mit-6006 | c2aa6bb48edef5800c0779ba2eebd697d44249b5 | [
"MIT"
] | null | null | null | def count_anagram_substrings(T, S):
'''
Input: T | String
S | Tuple of strings S_i of equal length k < |T|
Output: A | Tuple of integers a_i:
| the anagram substring count of S_i in T
'''
A = []
##################
# YOUR CODE HERE #
##################
retur... | 25.461538 | 60 | 0.471299 |
76c510989e29cef3c1b2cb30cc2d6bbd198722f6 | 1,225 | py | Python | official/cv/ADNet/src/utils/get_benchmark_path.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/cv/ADNet/src/utils/get_benchmark_path.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/cv/ADNet/src/utils/get_benchmark_path.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 39.516129 | 78 | 0.675102 |
4f9c2b719180c764f0d90e23b177717c7ae44a82 | 156 | py | Python | Import/error.py | simonbredemeier/ds100bot | 1318b32b818891f4bc6d24f12fcf0ceae898f8bd | [
"Apache-2.0"
] | 15 | 2019-12-20T08:24:31.000Z | 2022-03-18T09:24:25.000Z | Import/error.py | simonbredemeier/ds100bot | 1318b32b818891f4bc6d24f12fcf0ceae898f8bd | [
"Apache-2.0"
] | 124 | 2020-04-20T04:36:49.000Z | 2022-01-29T11:08:09.000Z | Import/error.py | simonbredemeier/ds100bot | 1318b32b818891f4bc6d24f12fcf0ceae898f8bd | [
"Apache-2.0"
] | 12 | 2020-07-08T22:19:39.000Z | 2022-03-19T09:13:11.000Z | """Exception classes for imports"""
class SourceError(Exception):
pass
class JsonError(SourceError):
pass
class DataError(SourceError):
pass
| 14.181818 | 35 | 0.724359 |
8c4da81b4356bf8de691909731bf73b2e4e3c298 | 92 | py | Python | 2014/07/table-internet-cats/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2014/07/table-internet-cats/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2014/07/table-internet-cats/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 7 | 2015-04-04T04:45:54.000Z | 2021-02-18T11:12:48.000Z | #!/usr/bin/env python
COPY_GOOGLE_DOC_KEY = '1dNKHeXeIU8XEp0KY6sXZVPAEIn5-BuxAmIaUmmOeV6U'
| 23 | 68 | 0.836957 |
8c5c38ae77e795c2580a46ba22243b7369e44254 | 26,100 | py | Python | Co-Simulation/Veins/my-sumo-launched.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | null | null | null | Co-Simulation/Veins/my-sumo-launched.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | null | null | null | Co-Simulation/Veins/my-sumo-launched.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
#
# sumo-launchd.py -- SUMO launcher daemon for use with TraCI clients
# Copyright (C) 2006-2012 Christoph Sommer <christoph.sommer@uibk.ac.at>
#
# Documentation for these modules is at http://veins.car2x.org/
#
# SPDX-License-Identifier: GPL-2.0-or-later
#
# This program is free software; you c... | 35.175202 | 227 | 0.631456 |
4fd2fc3a3d946efc96b0f8d04ff93c463e073746 | 2,818 | py | Python | export/test2.py | ju1-eu/pyAnfaenger | 59440e99d69582ee2c7a022c8b819e7c78f41ac0 | [
"MIT"
] | null | null | null | export/test2.py | ju1-eu/pyAnfaenger | 59440e99d69582ee2c7a022c8b819e7c78f41ac0 | [
"MIT"
] | null | null | null | export/test2.py | ju1-eu/pyAnfaenger | 59440e99d69582ee2c7a022c8b819e7c78f41ac0 | [
"MIT"
] | null | null | null | # To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %% [markdown]
# # Lists and Arrays in Python
# %%
import array
import numpy as np
# %% [markdown]
# ## Python List
# %%
my_list = [True, "Hello", 42.0, 420, None]
print([type(val) for val in my_list])
# %% [markdown]
# ## Pytho... | 20.874074 | 157 | 0.633428 |
8b389a2270f12ec137389a6b1c05239b98ef492f | 2,724 | py | Python | Packs/CheckpointFirewall/Scripts/CheckpointFWCreateBackup/CheckpointFWCreateBackup.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CheckpointFirewall/Scripts/CheckpointFWCreateBackup/CheckpointFWCreateBackup.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CheckpointFirewall/Scripts/CheckpointFWCreateBackup/CheckpointFWCreateBackup.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
CLI_ADD = "add backup local"
BASH_ADD = '/etc/cli.sh -c "' + CLI_ADD + '"'
def main():
res = []
tbl = []
devices = demisto.get(demisto.args(), 'devices')
devicesBackupStarted = []
devicesBackupErr... | 44.655738 | 120 | 0.517988 |
8ce9147dd7852e1c11dfe088a0dcd5fdcf6357ae | 459 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/tests/ch04_strings/ex10_anagram_test.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/tests/ch04_strings/ex10_anagram_test.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/tests/ch04_strings/ex10_anagram_test.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
import pytest
from ch04_strings.solutions.ex10_anagram import is_anagram
@pytest.mark.parametrize("str1, str2, expected",
[("Otto", "Toto", True),
("Mary", "Army", True),
... | 28.6875 | 58 | 0.605664 |
d156729fe373fd7df2c8acf4103ee176ec7b28d9 | 399 | py | Python | RasPi/switch.py | Jugendhackt/SMocket | 6aa495f3052c85f503ebf0e81b3ee5799cea37b2 | [
"MIT"
] | null | null | null | RasPi/switch.py | Jugendhackt/SMocket | 6aa495f3052c85f503ebf0e81b3ee5799cea37b2 | [
"MIT"
] | null | null | null | RasPi/switch.py | Jugendhackt/SMocket | 6aa495f3052c85f503ebf0e81b3ee5799cea37b2 | [
"MIT"
] | null | null | null | from gpiozero import *
import sys
from time import sleep
ident = sys.argv[1]
value = int(sys.argv[2])
"""print(ident)
print(value)"""
dic =[[11, 13], [15, 18], [27, 22] ]
pair = dic[int(ident)-1]
print(pair)
if value == 0:
print(pair[1])
pin = LED(pair[1])
elif value == 1:
print(pa... | 13.758621 | 37 | 0.548872 |
0f4c1c1a5d287f89cd972229a378c90ba9796bee | 7,565 | py | Python | cs/lambda_cs/06_graphs/projects/ancestor/graph.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | cs/lambda_cs/06_graphs/projects/ancestor/graph.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | 8 | 2020-03-24T17:47:23.000Z | 2022-03-12T00:33:21.000Z | cs/lambda_cs/06_graphs/projects/ancestor/graph.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | """
Simple graph implementation
"""
import os
import sys
sys.path.append(os.path.abspath("../graph"))
from util import Stack, Queue # These may come in handy
class Graph:
def __init__(self):
"""Represent a graph as a dictionary of vertices mapping labels to edges."""
self.vertices = {}
def... | 33.034934 | 112 | 0.539855 |
0ea5906db21c3f77a6432aa097385551fc70fd37 | 1,841 | py | Python | tp1/source/tp1.py | ha2398/ia-tps | 3696c92c8e2549aab6ac83da317cef8e15762eea | [
"MIT"
] | null | null | null | tp1/source/tp1.py | ha2398/ia-tps | 3696c92c8e2549aab6ac83da317cef8e15762eea | [
"MIT"
] | null | null | null | tp1/source/tp1.py | ha2398/ia-tps | 3696c92c8e2549aab6ac83da317cef8e15762eea | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
'''
Trabalho Pratico 1: Inteligência Artificial
Autor: Hugo Araujo de Sousa (2013007463)
tp1.py:
'''
from AStar import *
from BestFirst import *
from IDS import *
from Map import *
from UniformCost import *
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('map', type=st... | 28.323077 | 77 | 0.726779 |
7d168e8656a2f6e138e374179ba89c98512a4752 | 2,124 | py | Python | create_dataset.py | JACKYLUO1991/FaceLandmarks | 0e7eb636d25ba93e64cc3433a79239be51c883cc | [
"Apache-2.0"
] | 24 | 2019-09-01T09:02:59.000Z | 2022-03-22T08:38:16.000Z | create_dataset.py | HeroOneHY/FaceLandmarks | 0e7eb636d25ba93e64cc3433a79239be51c883cc | [
"Apache-2.0"
] | 2 | 2019-10-25T02:39:03.000Z | 2022-03-20T15:45:22.000Z | create_dataset.py | HeroOneHY/FaceLandmarks | 0e7eb636d25ba93e64cc3433a79239be51c883cc | [
"Apache-2.0"
] | 11 | 2019-10-25T01:36:18.000Z | 2021-04-09T06:51:58.000Z | """
Create training dataset
"""
import cv2
import os
import sys
import glob
import numpy as np
from tqdm import tqdm
import pandas as pd
from common.landmark_helper import LandmarkHelper
from common.landmark_utils import LandmarkImageCrop
import time
from pprint import pprint
import argparse
ap = argparse.ArgumentPar... | 31.701493 | 101 | 0.624765 |
7d224b36bfd7531883986d99275ea6386da37344 | 274 | py | Python | 2285-maximum-total-importance-of-roads/2285-maximum-total-importance-of-roads.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 2285-maximum-total-importance-of-roads/2285-maximum-total-importance-of-roads.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 2285-maximum-total-importance-of-roads/2285-maximum-total-importance-of-roads.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def maximumImportance(self, n: int, roads: List[List[int]]) -> int:
path=[0]*n
for road in roads:
path[road[0]]+=1
path[road[1]]+=1
path.sort()
return sum([each*i for i, each in enumerate(path, 1)]) | 34.25 | 71 | 0.532847 |
70d127e2e501864d1af2efc000c3f42f718d091c | 419 | py | Python | server/tests/api/views/test_account.py | bumfiness/bumf | 71c404c0a8f804b8f0e127df3de6d8916db4c660 | [
"Apache-2.0"
] | 6 | 2017-01-07T17:59:46.000Z | 2017-02-10T13:19:46.000Z | server/tests/api/views/test_account.py | rixx/bumf | 71c404c0a8f804b8f0e127df3de6d8916db4c660 | [
"Apache-2.0"
] | null | null | null | server/tests/api/views/test_account.py | rixx/bumf | 71c404c0a8f804b8f0e127df3de6d8916db4c660 | [
"Apache-2.0"
] | null | null | null | import pytest
@pytest.mark.django_db
def test_budget_account_view(logged_in_client, virtual_budget_account):
response = logged_in_client.get('/v1/budget-accounts/')
assert len(response.data) == 1
@pytest.mark.django_db
def test_no_other_accounts_in_budget_account_view(logged_in_client, virtual_income_accoun... | 29.928571 | 92 | 0.789976 |
1dc73777508e45fbd056218c11f9506868936acd | 664 | py | Python | elements/python/6/11/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | 11 | 2019-02-08T06:54:34.000Z | 2021-08-07T18:57:39.000Z | elements/python/6/11/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | 1 | 2019-05-21T08:14:10.000Z | 2019-05-21T08:14:10.000Z | elements/python/6/11/soln.py | mmcloughlin/problems | 6095842ffe007a12ec8c2093850515aa4e046616 | [
"MIT"
] | null | null | null | def longest_increasing_subarray(a):
A = a + [float('-inf')]
best_s, best_n = 0, 1
s, n = 0, 1
for i in range(len(a)):
if A[i] <= A[i+1]:
n += 1
continue
if n > best_n:
best_s, best_n = s, n
s = i+1
n = 1
return best_s, best_s + best... | 18.444444 | 40 | 0.498494 |
384a1adbaf5ecdfe5951d2dac8c2650386e7c0cc | 111 | py | Python | Shivani/age.py | 63Shivani/Python-BootCamp | 2ed0ef95af35d35c0602031670fecfc92d8cea0a | [
"MIT"
] | null | null | null | Shivani/age.py | 63Shivani/Python-BootCamp | 2ed0ef95af35d35c0602031670fecfc92d8cea0a | [
"MIT"
] | null | null | null | Shivani/age.py | 63Shivani/Python-BootCamp | 2ed0ef95af35d35c0602031670fecfc92d8cea0a | [
"MIT"
] | null | null | null | age = int(input("enter age\n"))
if(age<=60):
print("Senior citizen")
else:
print("Not senoir citizen")
| 18.5 | 31 | 0.630631 |
38b10f7df18cffd8fa539d054ff45956adcdd785 | 7,882 | py | Python | frappe-bench/apps/erpnext/erpnext/hr/doctype/leave_application/test_leave_application.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/hr/doctype/leave_application/test_leave_application.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/hr/doctype/leave_application/test_leave_application.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe
import unittest
from erpnext.hr.doctype.leave_application.leave_application import LeaveDayBlockedError, OverlapError
from frappe.permiss... | 29.631579 | 101 | 0.740421 |
2a25f25e0a28e7a4ee4f470629b55fd00de911a5 | 90 | py | Python | pyntcloud/geometry/__init__.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 1,142 | 2016-10-10T08:55:30.000Z | 2022-03-30T04:46:16.000Z | pyntcloud/geometry/__init__.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 195 | 2016-10-10T08:30:37.000Z | 2022-02-17T12:51:17.000Z | pyntcloud/geometry/__init__.py | bernssolg/pyntcloud-master | 84cf000b7a7f69a2c1b36f9624f05f65160bf992 | [
"MIT"
] | 215 | 2017-02-28T00:50:29.000Z | 2022-03-22T17:01:31.000Z |
"""
HAKUNA MATATA
"""
from .models.plane import Plane
from .models.sphere import Sphere
| 11.25 | 33 | 0.733333 |
aa90152574636b9dcc4c37882b40a2e1fae03d23 | 5,837 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/storage/netapp/test_netapp_e_iscsi_target.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/storage/netapp/test_netapp_e_iscsi_target.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/storage/netapp/test_netapp_e_iscsi_target.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | # coding=utf-8
# (c) 2018, NetApp Inc.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from ansible_collections.community.general.plugins.modules.storage.netapp.netapp_e_iscsi_target import IscsiTarget
from ansible_collections.community.general.tests.unit.modules.utils impo... | 43.887218 | 123 | 0.6356 |
2aa814c71f8293c58e127e77d1f510c321b422b6 | 1,550 | py | Python | tools/add_navigation_to_lectures.py | terben/Linux_Deutsch_Jupyter | 1980dacc970fc2905380624c941b5ed31aaa9bad | [
"CC-BY-4.0"
] | 1 | 2022-01-24T17:17:57.000Z | 2022-01-24T17:17:57.000Z | tools/add_navigation_to_lectures.py | terben/Linux_Deutsch_Jupyter | 1980dacc970fc2905380624c941b5ed31aaa9bad | [
"CC-BY-4.0"
] | null | null | null | tools/add_navigation_to_lectures.py | terben/Linux_Deutsch_Jupyter | 1980dacc970fc2905380624c941b5ed31aaa9bad | [
"CC-BY-4.0"
] | 1 | 2019-11-28T11:58:57.000Z | 2019-11-28T11:58:57.000Z | import os
import nbformat
from nbformat.v4.nbbase import new_markdown_cell
import notebook_utils as nu
# script to add navigation information to the Linux
# lecture notebooks.
#
# We implicitely assume:
# - lecture notebooks have the naming scheme:
# XX_Shell_Lecturename.ipynb
# where XX is a number. Use explicite... | 33.695652 | 76 | 0.649032 |
6330fa8df40250c199ad5fd04851f431253a0ae9 | 229 | py | Python | bot/database/models.py | thecoderkitty/fluffington-bot | f518e7b66487aaf9e6c507ced43e15760d604be2 | [
"MIT"
] | null | null | null | bot/database/models.py | thecoderkitty/fluffington-bot | f518e7b66487aaf9e6c507ced43e15760d604be2 | [
"MIT"
] | null | null | null | bot/database/models.py | thecoderkitty/fluffington-bot | f518e7b66487aaf9e6c507ced43e15760d604be2 | [
"MIT"
] | null | null | null | from .database import db
class Guild(db.Model):
__tablename__ = "guilds"
id = db.Column(db.String(), primary_key=True)
server_log_channel = db.Column(db.String(), nullable=True)
prefix = db.Column(db.String())
| 22.9 | 62 | 0.68559 |
2d6e10b5747e1e082355d781d73a76bddd71c978 | 2,580 | py | Python | Packs/ApiModules/Scripts/SiemApiModule/SiemApiModule_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 2 | 2021-12-06T21:38:24.000Z | 2022-01-13T08:23:36.000Z | Packs/ApiModules/Scripts/SiemApiModule/SiemApiModule_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 61 | 2021-10-07T08:54:38.000Z | 2022-03-31T10:25:35.000Z | Packs/ApiModules/Scripts/SiemApiModule/SiemApiModule_test.py | henry-sue-pa/content | 043c6badfb4f9c80673cad9242fdea72efe301f7 | [
"MIT"
] | 2 | 2022-01-05T15:27:01.000Z | 2022-02-01T19:27:43.000Z | from typing import Any
from SiemApiModule import (
IntegrationEventsClient,
IntegrationHTTPRequest,
IntegrationOptions,
IntegrationGetEvents,
Method,
)
import json
class MyIntegrationEventsClient(IntegrationEventsClient):
def set_request_filter(self, after: Any):
"""Implement the next ... | 32.25 | 78 | 0.622093 |
faa4d79de5d2e75a6f4c77b9395ede95d85f9157 | 373 | py | Python | python/coding_dojang/coroutine_yield_from.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/coding_dojang/coroutine_yield_from.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/coding_dojang/coroutine_yield_from.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | def accumulate():
total = 0
while True:
x = (yield)
if x is None:
return total
total += x
def sum_coroutine():
while True:
total = yield from accumulate()
print(total)
co = sum_coroutine()
next(co)
for i in range(1, 11):
co.send(i)
co.send(None)
... | 14.346154 | 39 | 0.544236 |
87ea5fcf4e722f99d5efbd8e6dc9a851f3e1197d | 783 | py | Python | spider/Config_new.py | iecasszyjy/tweet_search-master | e4978521a39964c22ae46bf35d6ff17710e8e6c6 | [
"MIT"
] | null | null | null | spider/Config_new.py | iecasszyjy/tweet_search-master | e4978521a39964c22ae46bf35d6ff17710e8e6c6 | [
"MIT"
] | 2 | 2021-03-31T18:54:16.000Z | 2021-12-13T19:49:08.000Z | spider/Config_new.py | iecasszyjy/tweet_search-master | e4978521a39964c22ae46bf35d6ff17710e8e6c6 | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
# got文件、MongoDB数据库和Redis数据库配置文件
import os
import sys
import pymongo
import redis
def get_noau_config():
# got文件
if sys.version_info[0] < 3:
import got
else:
import got3 as got
# MongoDB数据库
# client = pymongo.MongoClient(os.environ['MONGOHOST'], 27017, connec... | 26.1 | 81 | 0.662835 |
ea95a977723285a7252d7888938bd697dec4ce0e | 1,487 | py | Python | scripts/send_mail_to_get_participant_lists.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | null | null | null | scripts/send_mail_to_get_participant_lists.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | null | null | null | scripts/send_mail_to_get_participant_lists.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | 1 | 2019-10-19T10:11:17.000Z | 2019-10-19T10:11:17.000Z | #!/usr/bin/env python3
import os
import logging
from configparser import ConfigParser
from imwievaluation.semester_old import Semester
logger = logging.getLogger(__name__)
configParser = ConfigParser()
configParser.read('config.ini')
def generate_empty_participant_files(current_semester, basepath, lectures):
par... | 27.537037 | 79 | 0.718225 |
352ecb5e75684a3e81e778bbc70bbda7edf23831 | 186 | py | Python | Python/BasicDataTypes/list_comprehensions.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | Python/BasicDataTypes/list_comprehensions.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | Python/BasicDataTypes/list_comprehensions.py | rho2/HackerRank | 4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266 | [
"MIT"
] | null | null | null | x = int(input())
y = int(input())
z = int(input())
n = int(input())
a = [[xx,yy,zz] for xx in range(0,x+1) for yy in range(0,y+1) for zz in range(0,z+1) if xx + yy + zz != n ]
print(a) | 26.571429 | 107 | 0.553763 |
105f3d820c5cac2ad51d023e566d445977a4365e | 2,041 | py | Python | verarbeitung.py | caxenie/oom-oop-intro | e70cd2ab8067b4d81001b7491deab9e029eefd3d | [
"MIT"
] | 1 | 2022-02-23T20:18:35.000Z | 2022-02-23T20:18:35.000Z | verarbeitung.py | caxenie/oom-oop-intro | e70cd2ab8067b4d81001b7491deab9e029eefd3d | [
"MIT"
] | null | null | null | verarbeitung.py | caxenie/oom-oop-intro | e70cd2ab8067b4d81001b7491deab9e029eefd3d | [
"MIT"
] | null | null | null |
class StahlVerarbeitung(object):
def __init__(self, a, n, d):
self.schrittenAnzahl = a
self.schrittName = n
self.schrittDauer = d
def getAnzahl(self):
return self.schrittenAnzahl
def setAnzahl(self, a):
self.schrittenAnzahl = a
def getSchrittName(... | 24.011765 | 48 | 0.627634 |
f49e08ef62a78c7a3e41885be0fa832c5fde2ba8 | 1,737 | py | Python | src/visitpy/visit_utils/tests/test_qannote_circle.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/visitpy/visit_utils/tests/test_qannote_circle.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/visitpy/visit_utils/tests/test_qannote_circle.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | # Copyright (c) Lawrence Livermore National Security, LLC and other VisIt
# Project developers. See the top-level LICENSE file for dates and other
# details. No copyright assignment is required to contribute to VisIt.
"""
author: Cyrus Harrison (cyrush@llnl.gov)
description:
Tests for qannote module.
"""
... | 25.544118 | 73 | 0.568221 |
f4de15a4c2c8175f025e7465a8a10f9d25885c85 | 6,650 | py | Python | source/api_wrapper/src/actions_handler.py | weberval/SocialBot | f45e16c28fe2a1283b09b1f5c7b6334ef03f9a7b | [
"MIT"
] | 2 | 2018-04-07T14:56:12.000Z | 2020-03-26T12:06:51.000Z | source/api_wrapper/src/actions_handler.py | weberval/SocialBot | f45e16c28fe2a1283b09b1f5c7b6334ef03f9a7b | [
"MIT"
] | 2 | 2018-04-07T14:55:31.000Z | 2018-04-25T07:43:29.000Z | source/lib/ptp/src/actions_handler.py | weberval/SocialBot | f45e16c28fe2a1283b09b1f5c7b6334ef03f9a7b | [
"MIT"
] | 2 | 2019-09-06T22:31:43.000Z | 2020-03-26T12:06:51.000Z | from fuzzywuzzy import fuzz
class ActionsHandler:
"""
actions object function:
There are 3 different cases that a text could match.
1:
A text contains exactly the text specified in a exactly attribute.
2:
A text matches with a text specified in a match attribute, b... | 40.54878 | 120 | 0.479699 |
52701d1456999216db995a6543edfddf754457e9 | 1,014 | py | Python | tensorflow/basic-rl/tutorial11/code/enjoy_mountaincar_continuous_ppo1.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-05-10T09:16:23.000Z | 2019-05-10T09:16:23.000Z | tensorflow/basic-rl/tutorial11/code/enjoy_mountaincar_continuous_ppo1.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | null | null | null | tensorflow/basic-rl/tutorial11/code/enjoy_mountaincar_continuous_ppo1.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-10-14T07:30:18.000Z | 2019-10-14T07:30:18.000Z | import gym
import tensorflow as tf
from baselines.common import set_global_seeds, tf_util as U
from baselines.ppo1 import mlp_policy, pposgd_simple
env = gym.make("MountainCarContinuous-v0")
def policy_fn(name, ob_space, ac_space):
return mlp_policy.MlpPolicy(name=name, ob_space=ob_space, ac_space=ac_space,
h... | 31.6875 | 103 | 0.740631 |
bff02eef8f564c9a66429f0533eea63374f45c21 | 4,477 | py | Python | Data-Structures/Python/BST_orderTraversal.py | M-Usman-Tahir/Data-Structures-and-Algorithms | 08331182f0bbfd85fcdba50477dcf408b09a37cd | [
"Apache-2.0"
] | 2 | 2021-12-13T10:09:47.000Z | 2022-01-05T11:04:31.000Z | Data-Structures/Python/BST_orderTraversal.py | M-Usman-Tahir/Data-Structures-and-Algorithms | 08331182f0bbfd85fcdba50477dcf408b09a37cd | [
"Apache-2.0"
] | 1 | 2021-10-15T17:55:47.000Z | 2021-10-17T20:43:15.000Z | Data-Structures/Python/BST_orderTraversal.py | M-Usman-Tahir/Data-Structures-and-Algorithms | 08331182f0bbfd85fcdba50477dcf408b09a37cd | [
"Apache-2.0"
] | 4 | 2021-10-12T13:05:10.000Z | 2021-10-16T19:31:46.000Z | class Node:
def __init__(self, d):
self.data = d
self.left = None
self.right = None
self.parent = None
def __del__(self):
print("Node is deleted")
class BST:
head = None
def __init__(self, s):
# BST(int s):
if s>0:
self.head = No... | 25.011173 | 70 | 0.457226 |
5e3dd54cddc8262d02aa88052195442eecf42ceb | 366 | pyde | Python | sketches/weather/weather.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/weather/weather.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/weather/weather.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | from getWeatherData import getWeatherData, getNow
def setup():
size(600, 400)
background(0)
# frame.setTitle (u"Jörgs Wetterstation")
font = createFont("American Typewriter", 18)
textFont(font)
getWeatherData()
getNow()
frameRate(1)
def draw():
if(second() == 0):
background... | 20.333333 | 49 | 0.622951 |
0dc812697dc657977edd2e53732c08f6cd6864e3 | 960 | py | Python | backend/geojson/shpToGeoJSON.py | whatwouldmarvindo/sweetgeeks | 9d7d1103b7aa08aaeecfe32745016b789d922076 | [
"MIT"
] | null | null | null | backend/geojson/shpToGeoJSON.py | whatwouldmarvindo/sweetgeeks | 9d7d1103b7aa08aaeecfe32745016b789d922076 | [
"MIT"
] | 2 | 2021-09-29T08:15:26.000Z | 2021-11-03T09:37:37.000Z | backend/geojson/shpToGeoJSON.py | whatwouldmarvindo/sweetgeeks | 9d7d1103b7aa08aaeecfe32745016b789d922076 | [
"MIT"
] | null | null | null | import pandas as pd
import geopandas as gp
import json
import sys
import os
import pathlib
#import matplotlib as mp
from shapely.geometry import Point
from shapely.geometry.polygon import Polygon
def list_files(path,format):
current_path = pathlib.Path(path)
files = os.listdir(current_path)
for file in fi... | 26.666667 | 78 | 0.635417 |
df0b41e087e543483e813d4903fa3a5f51b5f296 | 7,060 | py | Python | marsyas-vamp/marsyas/src/django/birdsong/application/birdsong/dtw/views.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/django/birdsong/application/birdsong/dtw/views.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/django/birdsong/application/birdsong/dtw/views.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | from django.shortcuts import render_to_response
import subprocess
import re
import marsyas
import sys
def median_filter(input,window_width):
half = window_width / 2
output = []
for i in range(half,len(input)-half):
b = []
for j in range(i-half,i+half+1):
b.append(input[j])
... | 37.754011 | 116 | 0.594618 |
10de61ecce8097a916dbc423f55036b10c1f7bbd | 340 | py | Python | exercises/de/test_02_10_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/de/test_02_10_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/de/test_02_10_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | def test():
assert (
"token1.similarity(token2)" or "token2.similarity(token1)" in __solution__
), "Vergleichst du die Ähnlichkeit der zwei Tokens?"
assert (
0 <= float(similarity) <= 1
), "Der Ähnlichkeitswert muss eine Zahl zwischen 0 und 1 sein. Hast du ihn korrekt berechnet?"
__m... | 37.777778 | 98 | 0.661765 |
894f60ebf46a01092011242094616e24fff8da54 | 185 | py | Python | python_lessons/MtMk_Test_Files/SublimeText_Test.py | 1986MMartin/coding-sections-markus | e13be32e5d83e69250ecfb3c76a04ee48a320607 | [
"Apache-2.0"
] | null | null | null | python_lessons/MtMk_Test_Files/SublimeText_Test.py | 1986MMartin/coding-sections-markus | e13be32e5d83e69250ecfb3c76a04ee48a320607 | [
"Apache-2.0"
] | null | null | null | python_lessons/MtMk_Test_Files/SublimeText_Test.py | 1986MMartin/coding-sections-markus | e13be32e5d83e69250ecfb3c76a04ee48a320607 | [
"Apache-2.0"
] | null | null | null | print("Hallo neuer User.")
myString = input("Bitte gebe deinen Namen ein: ")
print("Hallo neuer User, dein Name ist " + myString)
print("-------------------------------------")
| 26.428571 | 53 | 0.52973 |
1208d23a5255a9b87e27561ff39188a43d3af26b | 110,763 | py | Python | AIO-Checker-main/Extreme-AIO-v1.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | AIO-Checker-main/Extreme-AIO-v1.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | AIO-Checker-main/Extreme-AIO-v1.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | import requests, threading, re, time, sys, os, random, webbrowser, ctypes, json, hashlib, subprocess, pypresence, tkinter
from colorama import Fore, init
from re import search
from tkinter import filedialog, messagebox
from time import gmtime, strftime
from pypresence import Presence
lista_mesaje = ["Coded by Ext... | 44.447432 | 1,153 | 0.510396 |
12110de470f2b345db6c14e0d8e8aeedc0c0535e | 4,437 | py | Python | cogs/lol.py | DestinyofYeet/antonstechbot | b01372431a3a2b51fb83180cf8caa1a168e294ad | [
"MIT"
] | 1 | 2021-04-21T09:01:26.000Z | 2021-04-21T09:01:26.000Z | cogs/lol.py | DestinyofYeet/antonstechbot | b01372431a3a2b51fb83180cf8caa1a168e294ad | [
"MIT"
] | null | null | null | cogs/lol.py | DestinyofYeet/antonstechbot | b01372431a3a2b51fb83180cf8caa1a168e294ad | [
"MIT"
] | null | null | null | from discord.ext import commands
import discord
from botlibrary import constants
import requests
from botlibrary import constants
from riotwatcher import LolWatcher
class Lol(commands.Cog):
def __init__(self, client):
self.client = client
self.api_key = constants.lol_token
self.base_url = ... | 51 | 123 | 0.536624 |
d3095a20554166d62c146e405b786735d4b595bf | 1,497 | py | Python | intro-vietstack/tools/release-graph.py | vietstack/vietstack.github.io | 6571001dc72751ee89115d9ed520c2b9ca2f2b86 | [
"MIT"
] | 1 | 2016-11-29T09:35:50.000Z | 2016-11-29T09:35:50.000Z | intro-vietstack/tools/release-graph.py | vietstack/vietstack.github.io | 6571001dc72751ee89115d9ed520c2b9ca2f2b86 | [
"MIT"
] | 8 | 2016-09-23T01:25:12.000Z | 2016-11-14T04:02:16.000Z | intro-vietstack/tools/release-graph.py | vietstack/vietstack.github.io | 6571001dc72751ee89115d9ed520c2b9ca2f2b86 | [
"MIT"
] | 14 | 2016-09-22T01:46:57.000Z | 2019-09-05T05:42:11.000Z | #!/usr/bin/python
import os
import sys
import argparse
import yaml
release_dates = {
'austin': '2010-10-21',
'bexar': '2011-02-03',
'cactus': '2011-04-15',
'diablo': '2011-09-22',
'essex': '2012-04-05',
'folsom': '2012-09-27',
'grizzly': '2013-04-04',
'havana': '2013-10-17',
'iceho... | 21.385714 | 66 | 0.561122 |
d3aabc26ed36a06709ddafd35fbd22d439d34ba3 | 1,581 | py | Python | CS303/lab4-6/work/algorithm_ncs/check_funnction.py | Wycers/Codelib | 86d83787aa577b8f2d66b5410e73102411c45e46 | [
"MIT"
] | 22 | 2018-08-07T06:55:10.000Z | 2021-06-12T02:12:19.000Z | CS303_Artifical-Intelligence/NCS/algorithm_ncs/check_funnction.py | Eveneko/SUSTech-Courses | 0420873110e91e8d13e6e85a974f1856e01d28d6 | [
"MIT"
] | 28 | 2020-03-04T23:47:22.000Z | 2022-02-26T18:50:00.000Z | CS303/lab4-6/work/algorithm_ncs/check_funnction.py | Wycers/Codelib | 86d83787aa577b8f2d66b5410e73102411c45e46 | [
"MIT"
] | 4 | 2019-11-09T15:41:26.000Z | 2021-10-10T08:56:57.000Z | import numpy as np
import unittest
from algorithm_ncs.benchmark import benchmark_func
from algorithm_ncs.problem import load_problem
def load_test_data(file_path):
with open(file_path, "r") as f:
lines_data = f.readlines()
lines = []
for data in lines_data:
line = []
... | 23.954545 | 73 | 0.573055 |
9fc330c49bf76d433ed2bf97c36f3ac806135d0a | 2,184 | py | Python | reports/srp/code/data_generation.py | klawr/deepmech | 61de238f1d4b1b867ec1d5f4e4af2a3b25a5abff | [
"MIT"
] | 1 | 2020-04-17T12:27:06.000Z | 2020-04-17T12:27:06.000Z | reports/srp/code/data_generation.py | klawr/deepmech | 61de238f1d4b1b867ec1d5f4e4af2a3b25a5abff | [
"MIT"
] | 1 | 2022-02-27T13:13:17.000Z | 2022-02-27T13:13:17.000Z | reports/srp/code/data_generation.py | klawr/deepmech | 61de238f1d4b1b867ec1d5f4e4af2a3b25a5abff | [
"MIT"
] | null | null | null | """
This script is used to create training data for the student research project.
On starting it the user is presented with a prompt, asking whether to draw
base-nodes, nodes or neither of them (random stuff).
The user can then start to draw images onto the canvas, which are saved to
the respective directory in "data/... | 30.333333 | 89 | 0.677656 |
e24d1fee0de9b3d5818ec01800228184ffb5f8d0 | 3,409 | py | Python | DCM/programs/EEGModel_old.py | l-althueser/NiMoNa_DCM16 | d93ee253ade8ccb4da1f17a91f064258adcf29c0 | [
"BSD-2-Clause"
] | 1 | 2018-04-20T07:44:11.000Z | 2018-04-20T07:44:11.000Z | DCM/programs/EEGModel_old.py | l-althueser/NiMoNa_DCM16 | d93ee253ade8ccb4da1f17a91f064258adcf29c0 | [
"BSD-2-Clause"
] | null | null | null | DCM/programs/EEGModel_old.py | l-althueser/NiMoNa_DCM16 | d93ee253ade8ccb4da1f17a91f064258adcf29c0 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@author: Tobias
Beschreibung:
Implementierung der DGL des EEG Modells nach "Dynamic causal models of steady-state responses",
hier jedoch in der vereinfachten Version von "A neural mass model for MEG/EEG:
coupling and neuronal dynamics", Friston, 2003.
Funktionsweise:
Die Zustan... | 28.173554 | 180 | 0.63215 |
2c9fb49755a65cffa16b3268d48e635cd29058ea | 1,353 | py | Python | run/core/controllers/login.py | matthewmuccio/FlaskBase | b2d7288a33b20badee1f4667526cfc528599a9ef | [
"MIT"
] | null | null | null | run/core/controllers/login.py | matthewmuccio/FlaskBase | b2d7288a33b20badee1f4667526cfc528599a9ef | [
"MIT"
] | null | null | null | run/core/controllers/login.py | matthewmuccio/FlaskBase | b2d7288a33b20badee1f4667526cfc528599a9ef | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from flask import Blueprint, redirect, render_template, request, session, url_for
from core.models import model
controller = Blueprint("login", __name__, url_prefix="/login")
@controller.route("/", methods=["GET", "POST"])
def show_login():
# In session (user signed in)
if "u... | 34.692308 | 96 | 0.691796 |
1acbddc40b7f3f0393b6986e4a4743f443e95862 | 4,309 | py | Python | deeplearning2020/datasets.py | fokkerh/deeplearning2020 | 4446c046982430d5e063919cf9511c8a174c76c2 | [
"MIT"
] | 133 | 2020-03-11T09:56:22.000Z | 2022-01-03T08:27:00.000Z | deeplearning2020/datasets.py | fokkerh/deeplearning2020 | 4446c046982430d5e063919cf9511c8a174c76c2 | [
"MIT"
] | 10 | 2020-03-12T15:02:46.000Z | 2020-11-27T21:21:42.000Z | deeplearning2020/datasets.py | fokkerh/deeplearning2020 | 4446c046982430d5e063919cf9511c8a174c76c2 | [
"MIT"
] | 64 | 2020-03-12T08:11:38.000Z | 2021-06-25T08:45:53.000Z | from __future__ import absolute_import, division, print_function, unicode_literals
import os
import pathlib
import typing
from typing import TYPE_CHECKING
import numpy as np
if TYPE_CHECKING: # pragma: no cover
import tensorflow as _tf
try:
import tensorflow as tf
assert tf.__version__[:2] == "2."
exc... | 33.929134 | 245 | 0.645161 |
46c6867a42c465afd66d565896305b56b929934a | 4,360 | py | Python | cs/lambda_cs/03_data_structures/lru_cache/lru_cache_cachenode.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | cs/lambda_cs/03_data_structures/lru_cache/lru_cache_cachenode.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | 8 | 2020-03-24T17:47:23.000Z | 2022-03-12T00:33:21.000Z | cs/lambda_cs/03_data_structures/lru_cache/lru_cache_cachenode.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | """
Data Structures :: LRU Cache
"""
class CacheNode:
def __init__(self, key, value, prev=None, next=None):
"""A node in a doubly-linked list-based LRU cache.
:param key : Key by which to access nodes.
:param value : Value accessed by key.
:param pr... | 35.16129 | 78 | 0.584174 |
46e749c4581395dd743f5c0c0b55bac91ed6adbe | 714 | py | Python | Packs/IntegrationsAndIncidentsHealthCheck/Scripts/IncidentsCheck_NumberofIncidentsNoOwner/IncidentsCheck_NumberofIncidentsNoOwner_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/IntegrationsAndIncidentsHealthCheck/Scripts/IncidentsCheck_NumberofIncidentsNoOwner/IncidentsCheck_NumberofIncidentsNoOwner_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/IntegrationsAndIncidentsHealthCheck/Scripts/IncidentsCheck_NumberofIncidentsNoOwner/IncidentsCheck_NumberofIncidentsNoOwner_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import pytest
import demistomock as demisto
from IncidentsCheck_NumberofIncidentsNoOwner import main, RED_HTML_STYLE, GREEN_HTML_STYLE
@pytest.mark.parametrize('incident_ids, expected', [
(['1', '2', '3'], f"<h1 style={RED_HTML_STYLE}3</h1>"),
(['2'], f"<h1 style={RED_HTML_STYLE}1</h1>"),
([], f"<h1 styl... | 34 | 117 | 0.693277 |
b3a03874d9a581092e2bbdfa0ea8ed7235ce28a5 | 828 | py | Python | ImageRecognition/obj.names_creation_script.py | simi48/Ef-If_Jassen | 6076839492bff591cf9b457e949999e9167903e6 | [
"Apache-2.0"
] | 4 | 2019-03-17T19:55:43.000Z | 2019-04-30T15:22:36.000Z | ImageRecognition/obj.names_creation_script.py | simi48/Ef-If_Jassen | 6076839492bff591cf9b457e949999e9167903e6 | [
"Apache-2.0"
] | null | null | null | ImageRecognition/obj.names_creation_script.py | simi48/Ef-If_Jassen | 6076839492bff591cf9b457e949999e9167903e6 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 29 21:40:08 2019
@author: ramon
"""
f = open("C:\\Users\\ramon\\darknet\\build\\darknet\\x64\\data\\obj.names","w")
f.write("Rosen 6"+"\n"+"Rosen 7"+"\n"+"Rosen 8"+"\n"+"Rosen 9"+"\n"+"Rosen 10"+"\n"+"Rosen Under"+"\n"+"Rosen Ober"+"\n"+"Rosen König"+"\n"+"Rosen Ass"+"\n... | 82.8 | 662 | 0.573671 |
b3ab8dc7f34ec3895810541949ab3aa56e0912e4 | 2,492 | py | Python | apps/training_tf_simple_m/XOCnn.py | Obyoxar/RobolabStatistics | 08343ca3ac49df7efdac33692d7cc4b783e851f5 | [
"MIT"
] | 2 | 2017-11-30T21:12:11.000Z | 2017-12-01T07:52:43.000Z | apps/training_tf_simple_m/XOCnn.py | Obyoxar/RobolabStatistics | 08343ca3ac49df7efdac33692d7cc4b783e851f5 | [
"MIT"
] | 14 | 2017-11-14T18:12:53.000Z | 2018-06-03T16:07:57.000Z | apps/training_tf_simple_m/XOCnn.py | Obyoxar/RobolabStatistics | 08343ca3ac49df7efdac33692d7cc4b783e851f5 | [
"MIT"
] | 3 | 2018-02-05T10:40:03.000Z | 2018-02-09T09:29:19.000Z | import numpy as np
import keras
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Conv2D
from keras.layers import MaxPooling2D
from keras.layers import Flatten
import robolib.robogui.pixel_editor as pe
import cv2
import robolib.images.feature_extraction as extr
DEBUG = True
l... | 33.226667 | 122 | 0.657303 |
37b1a269fb6ea5550fa30e7cf20c16468228661b | 640 | py | Python | 0-notes/job-search/Cracking the Coding Interview/C09SystemDesignScalability/questions/9.5-question.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 0-notes/job-search/Cracking the Coding Interview/C09SystemDesignScalability/questions/9.5-question.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 0-notes/job-search/Cracking the Coding Interview/C09SystemDesignScalability/questions/9.5-question.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | # Cache
# Imagine a web server for a simplified search engine.
# This system has 100 machines to respond to search queries, which may then call
# out using processSearch(string query) to another cluster of machines to
# actually get the result.
# The machine which responds to a given query is chosen at random... | 45.714286 | 81 | 0.75625 |
afe42d3db30f80ea95efeffef09acfb6fddbe458 | 144 | py | Python | 1_Datentypen/03_tuples/_04_i_m_not_a_number_i_have_a_name.py | DavidStahl97/Python-Grundkurs | 6796d19116d2f838b193b106d00bc2e74a8cdcb4 | [
"MIT"
] | null | null | null | 1_Datentypen/03_tuples/_04_i_m_not_a_number_i_have_a_name.py | DavidStahl97/Python-Grundkurs | 6796d19116d2f838b193b106d00bc2e74a8cdcb4 | [
"MIT"
] | null | null | null | 1_Datentypen/03_tuples/_04_i_m_not_a_number_i_have_a_name.py | DavidStahl97/Python-Grundkurs | 6796d19116d2f838b193b106d00bc2e74a8cdcb4 | [
"MIT"
] | null | null | null | ############ Tricky => not so optimal #################
# for d in get_data_tricky():
########### Better solution ########################
| 16 | 55 | 0.368056 |
ff9b5224e58da6ced836b83b86224e48792dc943 | 3,086 | py | Python | tests/model/test_tfp.py | SachsLab/indl | 531d2e0c2ee765004aedc553af40e258262f86cb | [
"Apache-2.0"
] | 1 | 2021-02-22T01:39:50.000Z | 2021-02-22T01:39:50.000Z | tests/model/test_tfp.py | SachsLab/indl | 531d2e0c2ee765004aedc553af40e258262f86cb | [
"Apache-2.0"
] | null | null | null | tests/model/test_tfp.py | SachsLab/indl | 531d2e0c2ee765004aedc553af40e258262f86cb | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
import numpy as np
import tensorflow.keras.layers as tfkl
from tensorflow.keras import backend as K
import tensorflow_probability as tfp
tfd = tfp.distributions
tfpl = tfp.layers
tfb = tfp.bijectors
scale_shift = np.log(np.exp(1) - 1).astype(np.float32)
def test_make_mvn_prior():
from indl... | 38.098765 | 99 | 0.685029 |
444482ee3e40ad47d27f3b4f6d4cfa8415591ab4 | 563 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch04_strings/intro/intro_formatting.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch04_strings/intro/intro_formatting.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch04_strings/intro/intro_formatting.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
product = "Apple iMac"
price = 3699
# formatting
print("the", product, "costs", price)
print("the {} costs {}".format(product, price))
print("the %s costs %d" % (product, price))
print(f"the {product} costs {price}")
############... | 19.413793 | 50 | 0.618117 |
4725b2d9460e08b1db7463392919ce9836efd798 | 8,618 | py | Python | slcyPins.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | slcyPins.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | slcyPins.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | import RPi.GPIO as GPIO
import slcypi.slcyGeneral as General
# GPIO.HIGH = 1
# GPIO.LOW = 0
class OutPin():
"""Sets up a pin for output
pin <dict>, <list>, <int>, {'out':1}
[name] <str>, identify this pin
[verbose] <bool>, print every action
"""
def __init__(self,pins={},name='',verbose=False... | 39.172727 | 117 | 0.585171 |
caf07817813d2f673ae14c97f3954fea5808cabe | 961 | py | Python | src/autograph/services/core/update_devices.py | RobetSlovev39/AutoGraph | c8bdb358b95143ab0d8c6f7c475a6c21f7a76b95 | [
"MIT"
] | null | null | null | src/autograph/services/core/update_devices.py | RobetSlovev39/AutoGraph | c8bdb358b95143ab0d8c6f7c475a6c21f7a76b95 | [
"MIT"
] | null | null | null | src/autograph/services/core/update_devices.py | RobetSlovev39/AutoGraph | c8bdb358b95143ab0d8c6f7c475a6c21f7a76b95 | [
"MIT"
] | null | null | null | from ..autograph import autograph_session
from autograph.models import Schema, DeviceGroup, Device
def update_devices() -> bool:
''' Обновление машин '''
schemas = Schema.objects.all()
existing_device_ids = Device.objects.values_list('device_id', flat=True)
for schema in schemas:
devices_js... | 35.592593 | 132 | 0.693028 |
1b4df27e4f6342a7b77efe03f425c35367b16ca5 | 5,005 | py | Python | analyze.py | TensorVision/MediSeg | 222fcab98d82f48f09304eda3cfbfe4d6ac825b7 | [
"MIT"
] | 6 | 2016-08-15T17:57:45.000Z | 2019-03-19T05:08:29.000Z | analyze.py | TensorVision/MediSeg | 222fcab98d82f48f09304eda3cfbfe4d6ac825b7 | [
"MIT"
] | 10 | 2016-04-11T10:20:34.000Z | 2016-08-09T21:47:48.000Z | analyze.py | TensorVision/MediSeg | 222fcab98d82f48f09304eda3cfbfe4d6ac825b7 | [
"MIT"
] | 7 | 2016-06-21T04:08:58.000Z | 2018-09-01T14:02:40.000Z | #!/usr/bin/env python
"""Analyze how well a segmentation is."""
import scipy
import logging
import time
import os.path
import struct
from tensorvision.analyze import merge_cms, get_accuracy, get_mean_accuracy
from tensorvision.analyze import get_mean_iou, get_frequency_weighted_iou
from tensorvision.analyze import g... | 32.290323 | 78 | 0.634565 |
945dd12b54e44a1f6943f243e1a63083b5aa8ce8 | 4,132 | py | Python | docs/content/code/automated-data-processing.py | PaulCCCCCCH/m5-101 | 81201b00cd81c1747ea0cd5f042a09eda02d6d1c | [
"MIT"
] | 4 | 2021-03-25T13:15:38.000Z | 2021-11-10T12:29:19.000Z | m5-101/content/code/automated-data-processing.py | PaulCCCCCCH/m5-101 | 81201b00cd81c1747ea0cd5f042a09eda02d6d1c | [
"MIT"
] | null | null | null | m5-101/content/code/automated-data-processing.py | PaulCCCCCCH/m5-101 | 81201b00cd81c1747ea0cd5f042a09eda02d6d1c | [
"MIT"
] | 4 | 2021-03-25T13:18:10.000Z | 2021-04-08T13:44:48.000Z | # encoding=utf-8
# -*- coding: utf-8 -*-
'''
Author: Chonghan Chen (paulcccccch@gmail.com)
-----
Last Modified: Tuesday, 6th April 2021 11:52:31 am
Modified By: Chonghan Chen (paulcccccch@gmail.com)
-----
Copyright (c) 2021 IceWould Information Technology Co., Ltd.
'''
import csv # 用来处理 csv 文件
########################... | 20.66 | 78 | 0.475799 |
b6e4d227423ac2a7fcc3c7b75a9348fdd74613ec | 3,497 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch08_binary_trees/solutions/ex08_reconstruct.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch08_binary_trees/solutions/ex08_reconstruct.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch08_binary_trees/solutions/ex08_reconstruct.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
from ch08_binary_trees.util import TreeUtils
from ch08_binary_trees.intro.intro_binary_tree_node import BinaryTreeNode
from ch08_binary_trees.solutions.ex13_print_tree import nice_print
def reconstruct(values):
if not values:... | 26.293233 | 78 | 0.659422 |
1e118f19ea9d5425d6496f121d1b92042374ce0f | 368 | py | Python | Chapter12_Multiprocessing/sequential.py | tomex74/UdemyPythonPro | b4b83483fa2d3337a2860d53ff38e68eb38b3ac4 | [
"MIT"
] | null | null | null | Chapter12_Multiprocessing/sequential.py | tomex74/UdemyPythonPro | b4b83483fa2d3337a2860d53ff38e68eb38b3ac4 | [
"MIT"
] | null | null | null | Chapter12_Multiprocessing/sequential.py | tomex74/UdemyPythonPro | b4b83483fa2d3337a2860d53ff38e68eb38b3ac4 | [
"MIT"
] | null | null | null | import math
import time
def calc(num_elements):
res = 0
for i in range(num_elements):
res += math.sqrt(i)
print(res)
def main():
start_time = time.perf_counter()
for _ in range(4):
calc(8_000_000)
end_time = time.perf_counter()
print("Took: {} s".format(end_time - start... | 15.333333 | 53 | 0.608696 |
bf909593b7174ed83440fe4f2af62e5fb207f8cf | 682 | py | Python | app/track.py | ItZzMJ/SliderDownloader | 9c5b5aee096e7a56d5d42e1cb8dbd1a104e2b5a9 | [
"MIT"
] | null | null | null | app/track.py | ItZzMJ/SliderDownloader | 9c5b5aee096e7a56d5d42e1cb8dbd1a104e2b5a9 | [
"MIT"
] | null | null | null | app/track.py | ItZzMJ/SliderDownloader | 9c5b5aee096e7a56d5d42e1cb8dbd1a104e2b5a9 | [
"MIT"
] | null | null | null | class Track:
def __init__(self, name, artists, genre=None, artwork_url=None, year=None):
self.name = name
self.artists = artists
self.genre = genre
self.artwork_url = artwork_url
self.year = year
def get_artists(self):
return self.artists
def print_artists(s... | 24.357143 | 79 | 0.58651 |
788b83131386b9f368b5868969a660b65a771d84 | 1,573 | py | Python | books/SystemProgramming/ch3_introduction/mylog.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/SystemProgramming/ch3_introduction/mylog.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/SystemProgramming/ch3_introduction/mylog.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | #!/bin/env python
def printlog(logfile, search_word, start_index, pre_rowcount, next_rowcount):
f = open(logfile)
logdata = f.read()
f.close()
index = logdata.find(search_word, start_index)
if index >= 0:
print("-" * 70)
print(f"Log file : {logfile}")
print(f"Find this word... | 30.843137 | 92 | 0.588684 |
155c4530ec77c5ac534340295dec73da3c216506 | 317 | py | Python | BITs/2014/VOROSHIN_S_I/task_2_7.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | BITs/2014/VOROSHIN_S_I/task_2_7.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | BITs/2014/VOROSHIN_S_I/task_2_7.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | #Задача №2, Вариант 7
#Компьютер выводит понравившееся мне высказывание Стендаля на экран
#Ворошин С.И.
#28.02.2016
print ("Умереть за друга при каких-нибудь исключительных обстоятельствах менее возвышенно, чем ежедневно и втайне жертвовать собой.\n" + "\t\t\t\t\t\t\t Стендаль")
input("Нажмите Enter для выхода.")
| 35.222222 | 163 | 0.769716 |
158e7db4cd83b61167706c5c659ee60939e7ccfa | 1,211 | py | Python | spo/spo/report/alle_anfragen/alle_anfragen.py | libracore/spo | c6617a4624d683e27ee3fde745313c30504f3fd1 | [
"MIT"
] | null | null | null | spo/spo/report/alle_anfragen/alle_anfragen.py | libracore/spo | c6617a4624d683e27ee3fde745313c30504f3fd1 | [
"MIT"
] | 6 | 2019-08-23T18:36:26.000Z | 2019-11-12T13:12:12.000Z | spo/spo/report/alle_anfragen/alle_anfragen.py | libracore/spo | efff6da53a776c4483f06d9ef1acc8a7aa96b28e | [
"MIT"
] | 1 | 2021-08-14T22:22:43.000Z | 2021-08-14T22:22:43.000Z | # Copyright (c) 2013, libracore and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
def execute(filters=None):
columns, data = [
{"label": _("Anfrage"), "fieldname": "id", "fieldtype": "Link", "options": "Anfrage"},
{"label... | 52.652174 | 179 | 0.662263 |
15b762206a6e42c39e6192cd841cf1da285ef553 | 2,769 | py | Python | tests/test_sections.py | supcik/pymdown-include | fe426425e646d9111d230885b96d605fa78a62c0 | [
"Apache-2.0"
] | null | null | null | tests/test_sections.py | supcik/pymdown-include | fe426425e646d9111d230885b96d605fa78a62c0 | [
"Apache-2.0"
] | null | null | null | tests/test_sections.py | supcik/pymdown-include | fe426425e646d9111d230885b96d605fa78a62c0 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Jacques Supcik
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 23.666667 | 76 | 0.481401 |
ecd14b3824d343d53a55eca8dfd839a7897476e6 | 1,221 | py | Python | website/apps/uploader/models.py | stahlnow/stahlnow | 265dd46c54f68173071d1c86218201d6e618ceeb | [
"MIT"
] | 1 | 2017-03-14T08:08:31.000Z | 2017-03-14T08:08:31.000Z | website/apps/uploader/models.py | stahlnow/stahlnow | 265dd46c54f68173071d1c86218201d6e618ceeb | [
"MIT"
] | null | null | null | website/apps/uploader/models.py | stahlnow/stahlnow | 265dd46c54f68173071d1c86218201d6e618ceeb | [
"MIT"
] | null | null | null | import os
from django.utils.translation import ugettext_lazy as _
from django.db import models
from django.conf import settings
from django.core.files.storage import FileSystemStorage
from django_extensions.db.fields import *
file_store = FileSystemStorage(
location=settings.MEDIA_ROOT, base_url=settings.MEDIA_URL... | 27.75 | 77 | 0.676495 |
17673019d070252f32a560bc6d17c3d428418d83 | 98 | py | Python | Python/M01_ProgrammingBasics/L04_ForLoop/Lab/Solutions/P07_SumNumbers.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L04_ForLoop/Lab/Solutions/P07_SumNumbers.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L04_ForLoop/Lab/Solutions/P07_SumNumbers.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | 1 | 2022-02-23T13:03:14.000Z | 2022-02-23T13:03:14.000Z | number = int(input())
total = 0
for each in range(number):
total += int(input())
print(total) | 16.333333 | 26 | 0.642857 |
8ad9c7acf9c8222f362766f0b2643a1f0d336816 | 3,742 | py | Python | aw/python/distributed/common/common.py | openharmony-gitee-mirror/test_developertest | 49c7d7ade2ee54a3a49a306fedb06d1c845042db | [
"Apache-2.0"
] | 1 | 2022-02-15T08:51:55.000Z | 2022-02-15T08:51:55.000Z | hihope_neptune-oh_hid/00_src/v0.1/test/developertest/aw/python/distributed/common/common.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | hihope_neptune-oh_hid/00_src/v0.1/test/developertest/aw/python/distributed/common/common.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | 1 | 2021-09-13T12:03:37.000Z | 2021-09-13T12:03:37.000Z | #!/usr/bin/env python3
# coding=utf-8
#
# Copyright (c) 2021 Huawei Device Co., Ltd.
# 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
#
# Unle... | 36.330097 | 78 | 0.564404 |
c1ab4b77e25d52ed47277cf8549cd9e0be216b09 | 112 | py | Python | python/gdal_cookbook/cookbook_general/check_gdal.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | 1 | 2021-06-18T12:39:25.000Z | 2021-06-18T12:39:25.000Z | Python/topoBatch/isGdalInstalled.py | AJGeo/DEM-to-Topo | 361b5d49445f11b3e24b2a12c32486c12c44af07 | [
"MIT"
] | null | null | null | Python/topoBatch/isGdalInstalled.py | AJGeo/DEM-to-Topo | 361b5d49445f11b3e24b2a12c32486c12c44af07 | [
"MIT"
] | null | null | null | import sys
try:
from osgeo import ogr, osr, gdal
except:
sys.exit('ERROR: cannot find GDAL/OGR modules') | 22.4 | 51 | 0.705357 |
e78fdba07b0672d9eddedcf2dabd40535c16f207 | 3,615 | py | Python | mod/units/ticket_handler.py | HeraldStudio/wechat | b023b7460a6b4284ea782333e13f24d169ddaff4 | [
"MIT"
] | 1 | 2015-06-28T15:26:52.000Z | 2015-06-28T15:26:52.000Z | mod/units/ticket_handler.py | HeraldStudio/wechat | b023b7460a6b4284ea782333e13f24d169ddaff4 | [
"MIT"
] | null | null | null | mod/units/ticket_handler.py | HeraldStudio/wechat | b023b7460a6b4284ea782333e13f24d169ddaff4 | [
"MIT"
] | 6 | 2015-03-20T16:36:22.000Z | 2021-08-28T07:58:18.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2015-04-18 16:41:24
# @Author : yml_bright@163.com
import tornado.web
from ..models.ticket import TicketType, TicketUsed, TicketLeft
from config import LOCAL, TICKET_INSTRUCTION, TICKET_URL, QR_PATH
from sqlalchemy.orm.exc import NoResultFound
from r... | 33.165138 | 181 | 0.622683 |
2e1c3a265d37423cb461abf18a425c95b53640d5 | 2,041 | py | Python | marsyas-vamp/marsyas/src/marsyas_python/in_out.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/marsyas_python/in_out.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/marsyas_python/in_out.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""a quick hack to demonstrate getting data between python and
marsyas. """
import sys
import numpy
import pylab
import marsyas
import marsyas_util
#PLOT = True
PLOT = False
def make_input(filename_input):
series = ["Series/input", ["SoundFileSource/src"]]
this_net = marsyas_util.c... | 27.581081 | 77 | 0.676629 |
996cabd9e3724a7c8e7864b0d27513645013d518 | 6,261 | py | Python | ts2panda/scripts/generate_plugin.py | openharmony-sig-ci/ark_ts2abc | 1d6fac6447760fce2e81c3738ac735b4424eed31 | [
"Apache-2.0"
] | null | null | null | ts2panda/scripts/generate_plugin.py | openharmony-sig-ci/ark_ts2abc | 1d6fac6447760fce2e81c3738ac735b4424eed31 | [
"Apache-2.0"
] | null | null | null | ts2panda/scripts/generate_plugin.py | openharmony-sig-ci/ark_ts2abc | 1d6fac6447760fce2e81c3738ac735b4424eed31 | [
"Apache-2.0"
] | 2 | 2021-09-13T11:32:30.000Z | 2021-09-13T12:12:06.000Z | #!/usr/bin/env python3
#coding: utf-8
"""
Copyright (c) 2021 Huawei Device Co., Ltd.
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 ... | 36.401163 | 92 | 0.592238 |
51734eae7ddab6c3c186eb03dfb27aedc3d70d91 | 1,180 | py | Python | BlinkingLED3/MeasurementData/HexToDezimal.py | ninasm/M242_Uebungsprojekte | 30bb27e53e539b969e1f8fe864bb5c380a4aefeb | [
"MIT"
] | 1 | 2020-04-29T12:13:56.000Z | 2020-04-29T12:13:56.000Z | BlinkingLed3/MeasurementData/HexToDezimal.py | LaichR/M242 | 8418f50e0e2169d25f6e802aa36d98f58c969cf5 | [
"MIT"
] | null | null | null | BlinkingLed3/MeasurementData/HexToDezimal.py | LaichR/M242 | 8418f50e0e2169d25f6e802aa36d98f58c969cf5 | [
"MIT"
] | null | null | null | import os, pathlib
def RewriteCsv( fname, outName ):
with open( fname, "r") as input:
lines = input.readlines()
lineNr = 0
values = lines[lineNr].split(',')
while values[0] != 'Sample-Nr':
lineNr+=1
values = lines[lineNr].split(',')
... | 36.875 | 78 | 0.594915 |
cfa057a94efe9043f34901dd8a37aaec3c17dc7e | 750 | py | Python | PIControllerConnection.py | p4squ4lle/PI-Controller-Communication | fb18a7837ab1135ef5ae51b84d3b7a54bc24b42d | [
"MIT"
] | null | null | null | PIControllerConnection.py | p4squ4lle/PI-Controller-Communication | fb18a7837ab1135ef5ae51b84d3b7a54bc24b42d | [
"MIT"
] | null | null | null | PIControllerConnection.py | p4squ4lle/PI-Controller-Communication | fb18a7837ab1135ef5ae51b84d3b7a54bc24b42d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import serial
import subprocess
import logging
from pipython import GCSDevice, pitools
# Initialize PI Motor Controller
SN = '120060504'
STAGES = ['M-521.DG1', 'M-405.DG(FW000.000)', 'M-405.DG(FW000.000)',]
REFMODE = 'FRF'
PI = GCSDevice('C-844')
PI.ConnectUSB(serialnum=SN)
pr... | 25.862069 | 70 | 0.5 |
cfbfd0244cf993d95e71328cf3fb5c07491531d5 | 3,288 | py | Python | research/cv/DeepID/src/split.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 1 | 2021-11-18T08:17:44.000Z | 2021-11-18T08:17:44.000Z | research/cv/DeepID/src/split.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | null | null | null | research/cv/DeepID/src/split.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 2 | 2019-09-01T06:17:04.000Z | 2019-10-04T08:39:45.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 36.533333 | 94 | 0.649331 |
7a9f875b3c1d8ed78fd252ea72c85a9a1944d9f1 | 1,321 | py | Python | Packs/X509Certificate/Scripts/CertificateReputation/CertificateReputation_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/X509Certificate/Scripts/CertificateReputation/CertificateReputation_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/X509Certificate/Scripts/CertificateReputation/CertificateReputation_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import pytest
def load_json_data(path):
import json
with open(path, 'r') as f:
return json.load(f)
TEST_VECTORS = [
('test_data/ca.json', 'test_data/ca_result.json'),
('test_data/messy.json', 'test_data/messy_result.json'),
]
@pytest.mark.parametrize("input, expected", TEST_VECTORS)
def t... | 30.022727 | 98 | 0.660863 |
8f10e33cdd450e81c13d5d683737b72d003e6eba | 1,722 | py | Python | showcase1/com/aaron/jsonexample.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | null | null | null | showcase1/com/aaron/jsonexample.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | 2 | 2021-03-25T22:00:07.000Z | 2022-01-20T15:51:48.000Z | showcase1/com/aaron/jsonexample.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | null | null | null | # _*_ encoding:utf-8 _*_
"""a test module"""
__author__ = 'Aaron.qiu'
import json
import os
from pprint import pprint
from sysexample import print_hello
def load_json():
info_string = """
{
"name": "echo",
"age": 24,
"coding skills": ["python", "matlab", "java", "c", "c++", "ruby", "s... | 24.253521 | 83 | 0.524971 |
8f79fa2bbbd5571a8efb73778e36008291b20adc | 1,363 | py | Python | data/preprocess.py | nemanja-m/nlpl | 9e34564a5b7e2b5b957cd09f96bcd1292403cd1b | [
"MIT"
] | null | null | null | data/preprocess.py | nemanja-m/nlpl | 9e34564a5b7e2b5b957cd09f96bcd1292403cd1b | [
"MIT"
] | 4 | 2021-04-30T21:07:54.000Z | 2022-02-10T01:23:11.000Z | data/preprocess.py | nemanja-m/nlpl | 9e34564a5b7e2b5b957cd09f96bcd1292403cd1b | [
"MIT"
] | null | null | null | import os
from typing import List
import re
import string
import itertools
from pandarallel import pandarallel
import pandas as pd
import numpy as np
import spacy
pandarallel.initialize(progress_bar=True)
DATA_DIR = os.path.dirname(os.path.abspath(__file__))
NLP = spacy.load("en")
SENTENCE_LENGTH_THRESHOLD = 4
de... | 27.816327 | 83 | 0.711665 |
a474d5cc27d1901975a6cdf6af93a370ef72c318 | 820 | py | Python | Code/DataTypes/main.py | miku/haw-di-bim-lv22 | 5e3dd1f7a1eb02ebbe5cc801bd8094618d6525e3 | [
"MIT"
] | null | null | null | Code/DataTypes/main.py | miku/haw-di-bim-lv22 | 5e3dd1f7a1eb02ebbe5cc801bd8094618d6525e3 | [
"MIT"
] | null | null | null | Code/DataTypes/main.py | miku/haw-di-bim-lv22 | 5e3dd1f7a1eb02ebbe5cc801bd8094618d6525e3 | [
"MIT"
] | null | null | null | # int
a = 1
b = 2
c = a + b
print(c)
# float
f = 1.0
g = 2.0
h = f * g
print(h)
# string, formatting
s = "hello world"
name = "martin"
t = "hello {}".format(name)
print(t)
# bool
u = True
v = False
w = u and v
x = u or v
print(w)
print(x)
# list
l = ["a", "b", "c"]
print(len(l), l)
l.append("d")
print(len(l... | 10.25 | 35 | 0.528049 |
a47d223208ba398bbe6f7f7f5876b2a10cfe33cd | 229 | py | Python | whitespace/lookups.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | 1 | 2017-12-12T13:58:08.000Z | 2017-12-12T13:58:08.000Z | whitespace/lookups.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | null | null | null | whitespace/lookups.py | wittrup/crap | a77474588fd54a5a998e24df7b1e6e2ab473ded1 | [
"MIT"
] | 1 | 2019-11-03T10:16:35.000Z | 2019-11-03T10:16:35.000Z | from definitions import IMP
def instr_mod(s):
if s[:2] in IMP.keys():
return(IMP[s[:2]])
elif s[0] in IMP.keys():
return IMP[s[0]]
else:
return "INVALID_IMP_INSTRUCTION_MODIFICATION_PARAMETER" | 25.444444 | 63 | 0.624454 |
bb0a93d107424d7968779dffe21ab927a776852d | 139 | py | Python | Curso-Em-Video-Python/2Exercicios/027_ Primeiro_e_Ultimo_nome_de_uma_pessoa.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/2Exercicios/027_ Primeiro_e_Ultimo_nome_de_uma_pessoa.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/2Exercicios/027_ Primeiro_e_Ultimo_nome_de_uma_pessoa.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | nome = str(input('Digite seu nome completo: ')).strip().split()
print('Primeiro nome: ', nome[0])
print('Segundo nome', nome[len(nome)-1])
| 34.75 | 63 | 0.669065 |
7024bfabcb7b480309c3b53aef4fbb06241be7b7 | 3,785 | py | Python | user/migrations/0001_initial.py | MIXISAMA/MIS-backend | 7aaa1be773718de1beb3ce0080edca7c4114b7ad | [
"MIT"
] | null | null | null | user/migrations/0001_initial.py | MIXISAMA/MIS-backend | 7aaa1be773718de1beb3ce0080edca7c4114b7ad | [
"MIT"
] | null | null | null | user/migrations/0001_initial.py | MIXISAMA/MIS-backend | 7aaa1be773718de1beb3ce0080edca7c4114b7ad | [
"MIT"
] | 2 | 2020-04-20T07:26:51.000Z | 2020-04-30T11:51:54.000Z | # Generated by Django 3.0.4 on 2020-04-24 17:45
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0011_update_proxy_permissions'),
('plan', '0001_initial... | 41.593407 | 196 | 0.564069 |
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