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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c32bf021e2ce98be4bf6134e87dcca2f91a67cd7 | f147835cba616d3e754c73230efea6d002ea8eba | /ATLAS-CDFS/scripts/print_cross_id_accuracies.py | 03ccd78ad4d6eb4f92eb191757ab4e4db655c7b0 | [
"MIT"
] | permissive | chengsoonong/crowdastro-projects | e301e4f712a83c7900eee936b1db32ef8fd16ccf | a80adf4764d09e003818cbc595f9c7eb3960df7b | refs/heads/master | 2021-01-19T06:36:31.926527 | 2018-05-15T00:22:13 | 2018-05-15T00:22:13 | 65,180,559 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,312 | py | #!/usr/bin/env python3
"""Output cross-identification accuracies.
These are assessed against the RGZ & Norris intersection,
on the Norris labels.
Output: stdout
Matthew Alger <matthew.alger@anu.edu.au>
Research School of Astronomy and Astrophysics
The Australian National University
2017
"""
import astropy.io.ascii
... | [
"matthew.alger@gmail.com"
] | matthew.alger@gmail.com |
70a9392a3f153d8f770b23044ec2533f41dc3a2f | c4e3f8ba5ddadcdb8f6cd818623745951318a8d9 | /Arima_smape.py | b092a690a460877f73ec5cbcae499a9f165f3076 | [] | no_license | wangningjun/ARIMA_time_serise | 8a70e55a14399d1bb435180656ab2e0336224248 | 8eb526feac394e4043be7467b1407b80095e3df4 | refs/heads/master | 2020-03-26T13:59:12.343731 | 2018-10-12T03:08:30 | 2018-10-12T03:08:30 | 144,965,956 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,201 | py | import pandas as pd
import numpy as np
import matplotlib.pylab as plt
from statsmodels.tsa.arima_model import ARIMA
import os
from pandas.core.frame import DataFrame
from sys import maxsize
'''
更新日期：2018/8/28
说明：本脚本的内容是以ARIMA算法预测时间序列
更新说明：实现动态调参
准确预测未来n时刻的数据,统计smape
'''
def difference(dataset, interval=1):
diff =... | [
"ningjun_wang@163.com"
] | ningjun_wang@163.com |
334772388d96c3e0ad4ac2d3e821f92425e6ed27 | 8cbd6648596a78a6ab62bf2201eb7a93d608c59a | /visualization.py | 81e4019b045bf9351e4509748dc31a8c599afd95 | [] | no_license | chengeaa/researchscripts | a1a1a6f6af900bca3cd8fdf68585d14dce88e8e2 | f677b1c515e4406dcf1b046f11b704b64d0dc2ce | refs/heads/master | 2022-05-16T23:59:42.984438 | 2022-05-10T02:35:32 | 2022-05-10T02:35:32 | 196,303,412 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,198 | py | #imports
#base
import os
import re
#ase
from ase.io import vasp, gen
from ase.visualize.plot import plot_atoms
from ase.visualize import view
#scipy
import pandas as pd
import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
#functions
def show_atoms_grid(data, rotation = '-0x,... | [
"ckaiwen2@hotmail.com"
] | ckaiwen2@hotmail.com |
459e8127e4b5cb873a598644dc79c3d2708b3db1 | a9c0a8d815b6453aca945849f3b402f75684bfcb | /project/api/services.py | 95d316eb964a262ab8aa954303e31d09a23b1d26 | [] | no_license | harrywang/my-flask-tdd-docker | 4035b666a3366cd059a3a65c68c7c9ad9b637da3 | 362c33e7caa3bf35a62cff71f3c567c5e8de1fd2 | refs/heads/master | 2022-04-13T23:12:04.725775 | 2020-03-21T18:14:00 | 2020-03-21T18:14:00 | 248,801,429 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 679 | py | # project/api/services.py
from project import db
from project.api.models import User
def get_all_users():
return User.query.all()
def get_user_by_id(user_id):
return User.query.filter_by(id=user_id).first()
def get_user_by_email(email):
return User.query.filter_by(email=email).first()
def add_user... | [
"harryjwang@gmail.com"
] | harryjwang@gmail.com |
4d13e0d0441d354c7a3d8a30341ba2bba0ab8788 | 727f30fac793e3812dbbed318826520f907a7d7f | /setup.py | 3c70f9feb5005dc7f121d12c70310abca05ea3d5 | [] | no_license | jaredwilli/cssprefixer | f4889bd81b9d7d011d6cda1e052bd62413fa9356 | b5e24fc3a11822b6c964c1fb48a31c02d79a95fe | refs/heads/master | 2021-01-16T19:40:59.486971 | 2011-03-25T13:00:30 | 2011-03-25T13:00:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 928 | py | #!/usr/bin/env python
#import sys
from distutils.core import setup
# if sys.version < '2.5':
# sys.exit('Python 2.5 or higher is required')
setup(name='cssprefixer',
version='1.3',
description="A tool that rewrites your CSS files, adding vendor-prefixed versions of CSS3 rules.",
# long_descriptio... | [
"me@myfreeweb.ru"
] | me@myfreeweb.ru |
5a60d55d408bfb0329da3b0de1b835b729d6aea1 | be81eadfe934f3bc12a214e833e375520679b4ca | /src/lib/envs/envGym.py | 254f455d9a821bd035c15718f4e986c5a5aba1d2 | [
"MIT"
] | permissive | sankhaMukherjee/RLalgos | 2bbbabef68ad3bba2d21bc5e5c537db39dbca967 | 80d19a39af29947db2fc73b0443b9c3bb66d6fc0 | refs/heads/master | 2022-12-11T14:44:53.946306 | 2019-06-05T10:10:38 | 2019-06-05T10:10:38 | 164,218,142 | 0 | 0 | MIT | 2022-12-08T04:50:46 | 2019-01-05T13:38:03 | Jupyter Notebook | UTF-8 | Python | false | false | 15,876 | py | import gym, sys
import numpy as np
from collections import deque
import itertools as it
class Env:
'''A convinience function for generating episodes and memories
This convinience class generates a context manager that can be
used for generating a Gym environment. This is supposed to be a
drop-in ... | [
"sankha.mukherjee@gmail.com"
] | sankha.mukherjee@gmail.com |
6b10d9a5295db113b96722c8b92c968c83079333 | ef821468b081ef2a0b81bf08596a2c81e1c1ef1a | /Python OOP/Decorators-Exercise/Cache.py | 3630fbd6868ddb28d50316c5fea622d51b440ae5 | [] | no_license | Ivaylo-Atanasov93/The-Learning-Process | 71db22cd79f6d961b9852f140f4285ef7820dd80 | 354844e2c686335345f6a54b3af86b78541ed3f3 | refs/heads/master | 2023-03-30T20:59:34.304207 | 2021-03-29T15:23:05 | 2021-03-29T15:23:05 | 294,181,544 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 346 | py | def cache(func):
def wrapper(n):
result = func(n)
wrapper.log[n] = result
return result
wrapper.log = {}
return wrapper
@cache
def fibonacci(n):
if n < 2:
return n
else:
return fibonacci(n - 1) + fibonacci(n - 2)
fibonacci(3)
print(fibonacci.log)
fibonacc... | [
"ivailo.atanasov93@gmail.com"
] | ivailo.atanasov93@gmail.com |
5edb0c8e55ee71407031f5baea3676bd34bf5368 | 28ae42f6a83fd7c56b2bf51e59250a31e68917ca | /tracpro/polls/migrations/0015_issue_region.py | ff1c2937af89c2c8ce646673002fd58356fd1f04 | [
"BSD-3-Clause"
] | permissive | rapidpro/tracpro | 0c68443d208cb60cbb3b2077977786f7e81ce742 | a68a782a7ff9bb0ccee85368132d8847c280fea3 | refs/heads/develop | 2021-01-19T10:29:48.381533 | 2018-03-13T12:17:11 | 2018-03-13T12:17:11 | 29,589,268 | 5 | 10 | BSD-3-Clause | 2018-02-23T14:43:12 | 2015-01-21T12:51:24 | Python | UTF-8 | Python | false | false | 575 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('groups', '0004_auto_20150123_0909'),
('polls', '0014_remove_response_is_complete'),
]
operations = [
migrations.AddF... | [
"rowanseymour@gmail.com"
] | rowanseymour@gmail.com |
dedc1e2d4474ac95a338056cb6ee689645ed4e0c | 3607629e732c37f40231fe4c83e73ac087ed3fcf | /poc-todo/POC/APP/Task/migrations/0004_remove_usertasks_first_name.py | 08ca53373c7ef5acfe15379664dd64b1b080bddd | [] | no_license | gout-tech/apis_cusat_connect | 3d71f73a620b7fa489671f45cbce7cc7b6972f80 | fd7114480592e81ead6e2efe932504629c2ff696 | refs/heads/master | 2022-05-29T14:10:10.326086 | 2020-02-25T04:18:38 | 2020-02-25T04:18:38 | 242,907,961 | 0 | 0 | null | 2022-04-22T23:06:17 | 2020-02-25T04:17:32 | Python | UTF-8 | Python | false | false | 334 | py | # Generated by Django 2.2.1 on 2019-08-12 13:16
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('Task', '0003_usertasks_first_name'),
]
operations = [
migrations.RemoveField(
model_name='usertasks',
name='first_name',
... | [
"goutham.hashrot@gmail.com"
] | goutham.hashrot@gmail.com |
cc949b9bcca51c5132a50e65d667fc6a78d82a30 | 892c6d9ca3160b151a620c638ea7295be8bdc7e8 | /NarrowDoor/sarsa.py | 32b731b6118a9aa6ad1f97204bae34872b055ccc | [] | no_license | CuiBen/RL | 22e89295a60f6a18a86f0d3cc7005cda3153567f | dabb2fe5af7e80e5b0dea96fc00863a218a81868 | refs/heads/master | 2021-10-27T13:35:55.984338 | 2019-04-17T10:33:12 | 2019-04-17T10:33:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,851 | py | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
""" SARSA algorithm """
import random
import config
class RL:
def __init__(self, actions=config.valid_actions, epsilon=config.epsilon, alpha=config.alpha, gamma=config.gamma):
self.q = {} # store Q values
self.actions = actions # valid ... | [
"noreply@github.com"
] | noreply@github.com |
f9a7397aba99d47d53fd78c5c0b097fe73bfd768 | fbb1550dc5437d672ed0137bd7711eba3290dee3 | /students/Luyao_Xu/lesson01/activity/calculator/subtracter.py | 328933552f5932496f2d61a3f2eb8b8bb3a1c036 | [] | no_license | JavaRod/SP_Python220B_2019 | 2cc379daf5290f366cf92dc317b9cf68e450c1b3 | 5dac60f39e3909ff05b26721d602ed20f14d6be3 | refs/heads/master | 2022-12-27T00:14:03.097659 | 2020-09-27T19:31:12 | 2020-09-27T19:31:12 | 272,602,608 | 1 | 0 | null | 2020-06-16T03:41:14 | 2020-06-16T03:41:13 | null | UTF-8 | Python | false | false | 110 | py | class Subtracter:
@staticmethod
def calc(operand_1, operand_2):
return operand_1 - operand_2
| [
"xuluyao19931213@gmail.com"
] | xuluyao19931213@gmail.com |
7e570e566dfc9f119522d2a9b25ab1a0c88d59c7 | 819d617a3aca8d42e19b5c934436b054cd0313c4 | /dofus/home/migrations/0004_auto_20200215_1438.py | b38dab3c685ae2131c060b171713647a160aadad | [] | no_license | MaelLhostis/dofus | 55032034f381a3072aa08f7243ca6584ef2a26f4 | b70991c12a2708cc6fc53a840d0d3969bf5e211e | refs/heads/master | 2022-06-28T18:27:40.958251 | 2020-02-20T22:17:17 | 2020-02-20T22:17:17 | 240,575,643 | 0 | 0 | null | 2022-05-25T05:00:35 | 2020-02-14T18:39:15 | Python | UTF-8 | Python | false | false | 360 | py | # Generated by Django 3.0.3 on 2020-02-15 14:38
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('home', '0003_auto_20200215_1428'),
]
operations = [
migrations.DeleteModel(
name='Pvpm',
),
migrations.DeleteModel(
... | [
"mael.lhostis@outlook.fr"
] | mael.lhostis@outlook.fr |
f999bc0811f3d15a0bf554e32cd623a97861a497 | f9b047b25184787af88fd151f2a6226b6b342954 | /investmentTornadoServer/server/corpora.py | 6d0570a7cfa8308f2e0cc773ff1adf8306bb5b7b | [] | no_license | CallMeJiaGu/TonrnadoRecomendServer | 4bfc3dd6d6a432321f80b12d66bb424fbc1a0911 | 54bb21191b16da27c20ce64ab14762bc777e30ca | refs/heads/master | 2020-03-23T19:31:43.291995 | 2019-07-04T03:04:58 | 2019-07-04T03:04:58 | 141,984,920 | 8 | 3 | null | null | null | null | UTF-8 | Python | false | false | 2,210 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2017 Wu Yuanchao <151050012@hdu.edu.cn>
import logConfig
import logging
import os
import codecs
logger = logging.getLogger()
class CorporaWithTitle():
def __init__(self, cutedfile):
self.f = cutedfile
def __iter__(self):
with c... | [
"646696382@qq.com"
] | 646696382@qq.com |
f61d5bf47b249e42e2a299759024a7e7c45c8f34 | baf468b02b6fb58a1f88ce38dde46a183722a489 | /data.py | 5218f7a1dbba2b3ea3dfcd5a12a784c126a1c1f5 | [] | no_license | BeceJlka/Stepic_Project | 9b6f84f7d42aa00e7e6872aa6e5945390a1362ff | 7fdc15f2bb0c53140c8f0c13123c56a13da856ea | refs/heads/master | 2021-07-12T18:07:33.961435 | 2020-03-10T18:22:47 | 2020-03-10T18:22:47 | 241,647,044 | 0 | 0 | null | 2021-03-20T03:00:21 | 2020-02-19T14:47:52 | Python | UTF-8 | Python | false | false | 15,927 | py | title = "Stepik Travel"
subtitle = "Для тех, кого отвлекают дома"
description = "Лучшие направления, где никто не будет вам мешать сидеть на берегу и изучать программирование, дизайн, разработку игр и управление продуктами"
departures = {"msk": "Из Москвы", "spb": "Из Петербурга", "nsk": "Из Новосибирска", "ekb": "И... | [
"noreply@github.com"
] | noreply@github.com |
55dfdc90e02123686986cc1acf673b300872d8e1 | b2c3feb259d8cfefe64938aa029958c50387a4ec | /distributed/server.py | c8312838d2085883135141b19fb7c53a17b91623 | [] | no_license | alexflint/tensorflow-experiments | 0a7a5d73571bdf111ce37b4e9711df213e9d354e | 3a95d0a869ddc9d6309bb8d6f5b06d3347748d0c | refs/heads/master | 2023-07-07T01:43:06.937158 | 2018-08-12T19:17:03 | 2018-08-12T19:17:03 | 140,112,767 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 106 | py | import tensorflow as tf
server = tf.train.Server.create_local_server()
print(server.target)
server.join()
| [
"alex.flint@gmail.com"
] | alex.flint@gmail.com |
e23633a5a9b66be7ed21624a319c2ac19699c898 | 81a1c5db1f24a7daf4fe51de499e1aea81d8ea05 | /fabfile.py | 94155b79ffeb1d48061ee035c7bbca818b7c3f36 | [] | no_license | Beomi/azure-django-test | cf0d1fe323a63d9ba2672b8ebea2fc3e170980ce | a811afb62501f2fe245226f9bb94cd51bebc6866 | refs/heads/master | 2021-06-19T15:53:18.932591 | 2017-06-08T12:20:34 | 2017-06-08T12:20:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | true | false | 6,241 | py | from fabric.contrib.files import append, exists, sed, put
from fabric.api import env, local, run, sudo
import random
import os
import json
PROJECT_DIR = os.path.dirname(os.path.abspath(__file__))
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# deploy.json파일을 불러와 envs변수에 저장합니다.
with open(os.pa... | [
"latheledusjp@gmail.com"
] | latheledusjp@gmail.com |
22aa2617e351bbbaf035cb3b8ac08016c4632660 | 41278a3ab6c8b8f280e785b79c15377a2de56a2d | /guardian.py | 680dbcc6516d80fb29ac29c6bda4d43391c6e140 | [] | no_license | mayanand/restClient | 1f0c70aad91d15c1a8d7f53bdc5c5c89ab6e5db8 | 927cffc1f2374760633da4bf6555801a80983469 | refs/heads/master | 2021-03-08T19:25:38.925946 | 2016-04-14T00:04:46 | 2016-04-14T00:04:46 | 56,193,486 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 721 | py | #!/usr/bin/env python
from restapi import restAPI
from image import imageDownloader
class guardianRestAPI(restAPI):
def __init__(self):
restAPI.__init__(self)
self.RESTendpoint = "http://content.guardianapis.com/search?q=%s&api-key=%s"
self.apiKey = 'test'
... | [
"Mayank Anand"
] | Mayank Anand |
6d5e991fc2b55c73e9b32da5c9d0db6a146186b2 | a22054032f23d84f34741532aaca5fe46e23a552 | /run_app_dev.py | 6fae0d484a2796685d1401726f30707b1548e9fc | [] | no_license | BearChao/transfer | 622003bfb0b2b7c8da6287a65764c69ad81f3d9c | 4159a596d0f5c728f6ce27568beb21c2ba321846 | refs/heads/master | 2021-05-23T06:08:01.183541 | 2018-05-28T14:39:30 | 2018-05-28T14:39:30 | 94,799,123 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 209 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
from app import create_app
app = create_app(os.getenv('FLASK_CONFIG') or 'default')
if __name__ == '__main__':
app.run(host='0.0.0.0',debug=True) | [
"zynick@foxmail.com"
] | zynick@foxmail.com |
9152ac03f49d6c145510fb642b234cac13c0b135 | 23e0f2433ae89295766a24d8d87626d18af6e84c | /problems/abc179_a.py | 78c1867f75ae21403e67d3de6f63c06edac7d487 | [] | no_license | chokoryu/atcoder | 0d7ec486177e45abee847acde38d31d35c61df42 | e0c0920a7a4d8a90fd6fb3cab7ab1e97a95b9084 | refs/heads/master | 2023-02-06T12:06:09.562394 | 2020-12-29T02:42:54 | 2020-12-29T02:42:54 | 283,260,970 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 460 | py | from fractions import gcd
from collections import Counter, deque, defaultdict
from heapq import heappush, heappop, heappushpop, heapify, heapreplace, merge
from bisect import bisect_left, bisect_right, bisect, insort_left, insort_right, insort
from itertools import accumulate, product, permutations, combinations
def m... | [
"chokoryu@gmail.com"
] | chokoryu@gmail.com |
7d75a5e69d0aeff702d6fe53686e32f47cd01b4e | f1614f3531701a29a33d90c31ab9dd6211c60c6b | /test/menu_sun_integration/handlers/test_status_synchronizer_service.py | 207c451856241312424ce76fdbb72a3f98062b7d | [] | no_license | pfpacheco/menu-sun-api | 8a1e11543b65db91d606b2f3098847e3cc5f2092 | 9bf2885f219b8f75d39e26fd61bebcaddcd2528b | refs/heads/master | 2022-12-29T13:59:11.644409 | 2020-10-16T03:41:54 | 2020-10-16T03:41:54 | 304,511,679 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,110 | py | import json
import os
import responses
import pytest
from menu_sun_api.domain.model.customer.customer import Customer
from menu_sun_api.domain.model.order.order import OrderStatusType
from menu_sun_api.domain.model.order.order_repository import OrderRepository
from menu_sun_api.domain.model.seller.seller import Integ... | [
"pfpacheco@gmail.com"
] | pfpacheco@gmail.com |
faf55dcced2172399d37e25d66e39d89868333d0 | 280049c5d363df840e5a2184002e59625f0af61b | /datastructure11-balancedparanthesischeck.py | 26c752c9dfffff64c23a2cf8d5095ae37812d617 | [] | no_license | deesaw/DataSPython | 853c1b36f7185752613d6038e706b06fbf25c84e | c69a23dff3b3852310f145d1051f2ad1dda6b7b5 | refs/heads/main | 2023-02-19T13:36:01.547293 | 2021-01-16T13:15:56 | 2021-01-16T13:15:56 | 330,166,053 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,346 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 6 12:17:58 2021
@author: deesaw
"""
def balance_check(s):
# Check is even number of brackets
if len(s)%2 != 0:
return False
# Set of opening brackets
opening = set('([{')
# Matching Pairs
matches = set([ ('(',')'), ('[','... | [
"69420960+deesaw@users.noreply.github.com"
] | 69420960+deesaw@users.noreply.github.com |
49d3fe6b4ad2a62850cc09fd55ce4e235e09ecce | 71d304e88e996e695451be82cfb24029b4b2b9dd | /ghmm.py | 98589df3885a5307a587e450b86b7e4dd1c99f84 | [] | no_license | negar7918/GHMMs | 7875ab232e36b05febac74c3261aca811a08d77a | ea75d0f3bd82c0e2e046d34debff4fd352637819 | refs/heads/master | 2021-07-20T13:34:37.444101 | 2020-06-09T17:53:39 | 2020-06-09T17:53:39 | 177,122,775 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,871 | py | # This is the implementation of the new method in the below paper published at AIME 2019:
# "Gated Hidden Markov Models for Early Prediction of Outcome of Internet-based Cognitive Behavioral Therapy"
# This implementation is intended for sequences up to length 150 and for longer ones, one should use log probabilities.... | [
"negars@kth.se"
] | negars@kth.se |
e6f8f51a840280d413cfe95488d13ed729fe6b2e | 3c2bb35d04a2dd44e16366c6e52eb74ecf8ba87b | /linearsearch.py | 27f9b69282c90729ee8439a664c1be6609b2dad0 | [] | no_license | Brijesh-Pandey/Python-Programs-For-Noobs | 7c871ebf01ce5f9e4cfa53b100b8f1b569f72a5d | 1d7187986a26d3f7ebcf3699017ab242dd16b482 | refs/heads/main | 2023-08-18T01:46:22.533629 | 2021-10-09T20:06:30 | 2021-10-21T01:37:49 | 301,089,699 | 6 | 11 | null | 2021-05-18T09:27:14 | 2020-10-04T09:32:23 | Python | UTF-8 | Python | false | false | 247 | py | z=int(input("Enter element to be searched "))
li=[int(x) for x in input().split()]
for i in range(len(li)):
if li[i]==z:
flag=1
break
else:
flag=0
if flag==1:
print("Found at position ",+i+1 )
else:
print("Not found")
input() | [
"noreply@github.com"
] | noreply@github.com |
e2165c7579217230237b68c6b491e3e20486e06b | c4ea97ae471cd222378684b8dc6be1047836dc85 | /src/dedt/dedalusParser.py | 9ba5de3d8b1778559ec87925a329aaff254cb7aa | [
"MIT"
] | permissive | KDahlgren/iapyx | b3de26da34ffd7dcc255afd9b70fe58de543711b | 260a265f79cd66bf4ea72b0a4837517d460dc257 | refs/heads/master | 2018-10-01T06:45:15.986558 | 2018-06-22T01:38:22 | 2018-06-22T01:38:22 | 109,737,208 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 26,697 | py | #!/usr/bin/env python
'''
dedalusParser.py
Define the functionality for parsing Dedalus files.
'''
import inspect, logging, os, re, string, sys, traceback
from pyparsing import *
import ConfigParser
# ------------------------------------------------------ #
# import sibling packages HERE!!!
if not os.path.abspath... | [
"kdahlgren15@gmail.com"
] | kdahlgren15@gmail.com |
adec15e7f10d62c6d1a6c1bca83ce174883b2551 | 69f47a6e77fc2a1363fc8713ed83d36209e7cf32 | /deframed/default.py | 997b289bd34920ff3704dc3d241fa7fbc6f6c50e | [] | no_license | smurfix/deframed | f1c4611c597809b53a138b70665430ed080a989d | 9c1d4db2991cef55725ac6ecae44af60a96ff4f2 | refs/heads/master | 2022-07-20T14:08:35.938667 | 2022-07-14T07:05:43 | 2022-07-14T07:05:43 | 259,882,446 | 24 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,184 | py | """
This module contains the default values for configuring DeFramed.
"""
from .util import attrdict
__all__ = ["CFG"]
CFG = attrdict(
logging=attrdict( # a magic incantation
version=1,
loggers=attrdict(
#"asyncari": {"level":"INFO"},
),
root=attrdict(
hand... | [
"matthias@urlichs.de"
] | matthias@urlichs.de |
fc140be5ed838830be722cb050742cde1b3cb053 | 87455bab2ddf7c9312453ca74689b133f3d6745d | /case_studies/npz/scripts/npz_narragansett_py.py | 879eba3573907047de566834166742228e1a45bb | [] | no_license | maxEntropyProd/bayesian_cbiomes | dd87d7f88e127e5f0699d15ae0ec3f2380b9ba89 | c3a2f2e60f2271a0a4843e9db6be2111b765efa1 | refs/heads/master | 2020-12-06T06:30:34.433777 | 2020-01-10T14:06:20 | 2020-01-10T14:06:20 | 232,373,541 | 0 | 0 | null | 2020-01-07T17:01:40 | 2020-01-07T17:01:39 | null | UTF-8 | Python | false | false | 14,243 | py | #!/usr/bin/env python
# coding: utf-8
# # Confront the NPZ model with real data from Narrangansett Bay
#
# ## 1. A first look at the data
# In[1]:
import numpy as np
# load data from CSV file
datafile = 'data/data_npz_narragansett.csv'
data = np.loadtxt(datafile, skiprows=1, delimiter=',')
with ope... | [
"gregleebritten@gmail.com"
] | gregleebritten@gmail.com |
811d4c6beed89125664d5495f5675efc4f51e2f2 | 3d18dbe77b052754e2a7a9bbaee9650a9fb410e2 | /test/11-ignore-design-docs.py | ea7165e3f5b58d5a27a8d4f9da83c47858fcd920 | [
"Apache-2.0"
] | permissive | apache/couchdb-mango | 765ebceec2912acb9696fadf9ec8f3d244d604c6 | 312e2c45535913c190cdef51f6ea65066ccd89dc | refs/heads/master | 2023-07-02T18:36:31.552696 | 2017-02-07T16:40:09 | 2017-03-31T17:25:17 | 30,287,956 | 39 | 23 | Apache-2.0 | 2023-01-18T14:24:00 | 2015-02-04T08:00:05 | Erlang | UTF-8 | Python | false | false | 1,106 | py | # Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the ... | [
"garren.smith@gmail.com"
] | garren.smith@gmail.com |
65c81b2c37dfa24b81ae8c97d1e1d2f37c8af03a | b926393a43850799f57b59202796d128c5b611ab | /main.py | 162002374fe6c83445e2d99937a3a90f3ac936c1 | [] | no_license | apustovitin/sea-battle | 0435e697b2143e80fdd04cbabbd5a51f18536c0c | 2546d9f296a7bd3a8e84af3bd0439b21180d27f6 | refs/heads/master | 2023-01-18T18:03:27.210594 | 2020-12-01T14:09:33 | 2020-12-01T14:09:33 | 317,479,808 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,482 | py | import curses
import board_image
from game import Game
import random
def moves_loop(game):
if random.choice([False, True]):
is_break, is_restart = game.computer_move()
if is_break or is_restart:
return is_break, is_restart
while True:
is_break, is_restart = game.player_move... | [
"apustovitin@gmail.com"
] | apustovitin@gmail.com |
b8fac3e471ae450389961aa1cb49b4834ce1d6cb | 5b565e331073a8b29f997c30b58d383806f7d5a8 | /pizzeria/11_env/bin/easy_install-3.7 | 242566d7d779997c369a8ea2a01c7db939a5250b | [] | no_license | jeongwook/python_work | f403d5be9da6744e49dd7aedeb666a64047b248d | bba188f47e464060d5c3cd1f245d367da37827ec | refs/heads/master | 2022-04-02T23:16:57.597664 | 2020-01-21T08:29:48 | 2020-01-21T08:29:48 | 227,506,961 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 288 | 7 | #!/Users/jeongwook/Desktop/python/python_work/pizzeria/11_env/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"jeongwook.yu@utexas.edu"
] | jeongwook.yu@utexas.edu |
f37490ad07011a1845fa6775b2a3edffd1ff59fc | 5141c8756e790847866c19d63744bd7c8033a51c | /docs/libs/reveal.js/3.7.0/plugin/multiplex/node_modules/bufferutil/build/config.gypi | 508a69af90f898303ce883dba2be1aa581eebd58 | [
"MIT"
] | permissive | al341801/EI1036_42 | db6fceb4fdb9272b28f34c16ee520ce072c5810b | d1d2c1b86a134fc4c45ba4146002589f7bee27f3 | refs/heads/master | 2020-09-15T13:02:09.056697 | 2019-11-22T15:05:53 | 2019-11-22T15:05:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,286 | gypi | # Do not edit. File was generated by node-gyp's "configure" step
{
"target_defaults": {
"cflags": [],
"default_configuration": "Release",
"defines": [],
"include_dirs": [],
"libraries": []
},
"variables": {
"asan": 0,
"coverage": "false",
"debug_devtools": "node",
"debug_http2"... | [
"dllido@MacBook-Pro-de-Dolores.local"
] | dllido@MacBook-Pro-de-Dolores.local |
aab5b930200d680d23a2dbddf6c89da66a40ebc7 | 9460ee7136f277825b09e5f63675364461deacea | /GATE_Engine/libs/par/test/hierarchy.py | 2f4e7fa88ecb974f8c8b074c616372ebccf3eb99 | [
"MIT"
] | permissive | DocDonkeys/GATE_Engine | 9c4a5376e10e20774c20ec3f069b973e754cb058 | bb2868884c6eec0ef619a45b7e21f5cf3857fe1b | refs/heads/master | 2020-07-27T09:18:46.947405 | 2019-12-30T16:16:11 | 2019-12-30T16:16:11 | 209,041,360 | 1 | 3 | MIT | 2020-02-19T16:32:08 | 2019-09-17T11:58:13 | C++ | UTF-8 | Python | false | false | 442 | py | import json
flare = json.load(open('flare.json'))
print flare
things = []
def traverse(node, parent):
me = len(things)
print '{:3} {}'.format(me, node['name'])
things.append(parent)
children = node.get('children', [])
for child in children:
traverse(child, me)
traverse(flare, 0)
for i... | [
"36265669+DidacRomero@users.noreply.github.com"
] | 36265669+DidacRomero@users.noreply.github.com |
4069b0b957b7c70d0f9663a86dd1cecb18c73276 | 1069b21592cd0771d69618d292e0511ec98251d9 | /visual_client10_9.py | 09d08582ba82f4698edc446c1688a703a3d9fcb8 | [] | no_license | 12Dong/python-socket | 6936fb6d7984c5948b31ce70837fab3437420b82 | cdb754a104eb5a0ccdb260eea83a943ce67bf268 | refs/heads/master | 2021-08-24T14:06:05.261228 | 2017-12-10T04:42:05 | 2017-12-10T04:42:05 | 113,722,198 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,415 | py | # coding:utf-8
import socket
import threading
import sys
from PyQt5.QtWidgets import QWidget,QApplication,QGridLayout,QLineEdit,QTextEdit,QLabel,QPushButton,QFrame
from PyQt5 import QtCore,QtWidgets
from PyQt5 import QtGui
from PyQt5.QtGui import*
from PyQt5.QtGui import QIcon
host = 'localhost'
port = 9999
username ... | [
"289663639@qq.com"
] | 289663639@qq.com |
61c547985ebd1624cef39b0279164ca64369bd8b | 54a2ac1972aa12e97e1029dddac6908a0e457d1c | /ej22.py | d564606a9f466aa3698b9b3467e6bba2ad18706d | [] | no_license | bthecs/computacion-2 | 2e7b557ab365e74634772f58067b2bbe0ea5d1d3 | 69d54714da8f40fbef9a6635b4fe6b1b1638a11e | refs/heads/master | 2023-03-18T22:38:21.953987 | 2019-12-11T15:42:25 | 2019-12-11T15:42:25 | 343,834,502 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 647 | py | from multiprocessing import Queue, Lock
import threading
import time
import os
def thread_function(x,l,q):
l.acquire()
time.sleep(1)
q.put("mi PID es: %d,Nombre: %s, Thread %d,Proceso: %d"%(os.getpid(),threading.current_thread().getName(),threading.get_ident(),x))
l.release()
def mostrarCola(q):
... | [
"fl.gimenez@alumno.um.edu.ar"
] | fl.gimenez@alumno.um.edu.ar |
82355523e5e347b9831a1ae711165e2ece5d664f | 4aae80d02949928e859ea9536051f59ed14ec918 | /apartment/house_summary.py | 12793965147a94786cc6eaa2e1738a092d991116 | [] | no_license | xli1234/PythonProject | a6c5c61b8fb86d8b9b7dc2d39d3784db3184a46b | e2555e8befd086ac98881a91630b1260cf6709f0 | refs/heads/master | 2020-07-31T05:46:11.688485 | 2019-10-08T02:04:42 | 2019-10-08T02:04:42 | 210,504,536 | 4 | 3 | null | null | null | null | UTF-8 | Python | false | false | 535 | py | import pandas as pd
def summary_house():
df = pd.read_csv('apartment/house_cache.csv')
zip_area = {15213: 'Oakland', 15217: 'Squirrel Hill', 15232: 'Shadyside'}
house_count = list(df[['Zip', 'Street']].groupby('Zip').count().values.reshape(3))
house_area = list(df[['Zip', 'Street']].groupby('Zip').count().index)
... | [
"34395567+shenshopping@users.noreply.github.com"
] | 34395567+shenshopping@users.noreply.github.com |
36719882d3b660fcaa5d889e59fee49bb5b86525 | a6ae6b2bb64b622338fc001b30a9f053717cc770 | /toVOC/evaluation/evalute.py | ae710a548491b2f324491b17a26f860d2fca267c | [] | no_license | tianws/script | 1bec9f549fd801b5848f33f243d32db5bdd61722 | 3ecf2bca42e8c6c7f6a964ddc42acc3e483387fc | refs/heads/master | 2021-06-04T11:53:32.337079 | 2021-01-12T08:20:13 | 2021-01-12T08:20:13 | 98,512,027 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,534 | py | #!/usr/bin/env python
# coding=utf-8
from __future__ import division, unicode_literals
import argparse
import logging
import phodopus
import squirrel
import sys
if sys.version_info.major == 2:
from pathlib2 import Path
else:
from pathlib import Path
if __name__ == '__main__':
logging.basicConfig(
... | [
"tianws@mapbar.com"
] | tianws@mapbar.com |
3ae6423a2a19cb9678453bb48e72fd82b6afb002 | 36a92a0af4e4fa2b8191ddb8b0f0b8ed15c2baca | /send-cookies.py | 999fd98911a1e0cbd4ef3f5f1e1606a3e11aad21 | [] | no_license | p4r7h/Python-script | 043d6b70387f1834fac147e0ee88cfbb416ea205 | 45e0c39849c0a885b26db433cdfa94f885e1988b | refs/heads/main | 2023-06-12T03:09:26.333375 | 2021-06-21T01:23:08 | 2021-06-21T01:23:08 | 344,584,712 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 141 | py | import requests
url = 'http://ptl-e1cf1322-eb626166.libcurl.so/pentesterlab'
x = requests.get(url, cookies = {'key': 'please'})
print(x.text) | [
"noreply@github.com"
] | noreply@github.com |
f6e865c5110f9052fdbb39331313e2ca555771da | 9e1f6ccb24740e5dc51c71b76ffc3df4f561453e | /app.py | 4451f01d8c4e516275d05abca23045fda760067c | [] | no_license | AbbieKent/Analyzing-Atlanta-Crime | 2ed7ed191b757482c1d3f42fb96da53a921b09ee | 872ecb801b1abec1f41dd732ee9d6f88d70f6072 | refs/heads/main | 2023-03-17T17:44:25.125117 | 2021-03-15T21:11:42 | 2021-03-15T21:11:42 | 348,123,489 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,506 | py | from flask import Flask, render_template
from flask import request, url_for, render_template, redirect
import pandas as pd
import numpy as np
import pdb, os
from os import environ
import joblib
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import OneHotEncoder
from sklearn.compose impo... | [
"arkent10@gmail.com"
] | arkent10@gmail.com |
e7402159b694a4820f2b00e2af214a79f9043612 | e965225b5b16feb3a8264980cdeff83342e1167c | /pythontask.py | a4b01f83681283f4550677aedce2dd6b39d9b2de | [] | no_license | challapavankumar/Archeville-Super-Archy-Tournament-task | 7b8631fe448f04f9ed335327e1a2457c3bc8e5cf | d646a830865f5607193ca883a217974fb4e5a641 | refs/heads/main | 2023-01-31T15:03:21.658700 | 2020-12-18T06:11:14 | 2020-12-18T06:11:14 | 322,502,956 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,858 | py | rounds = int(input("No of rounds to play "))
scores={"A":50,"B":4,"C":3,"D":2,"E":1,"F":0}
bonuscheck=[]
bonusplayer=[]
teams={"Gyrhuna":[{"Jaons Diak":0},{"Susu":0}],
"Achni":[{"Milog":0},{"Tianlong":0}],
"Bathar":[{"Pakhangba":0},{"Poubi Lai Paphal":0}]}
teamno=len(teams)
bonusteam=... | [
"noreply@github.com"
] | noreply@github.com |
3a605cd5f0f7781f3d75d4937b802eac9ac2dd09 | 4accbb2bb2f7cc2b6b5855afe52c1bb4561c8da6 | /Unstructured Programs For Testing/CSVtoNumpy2.py | 85b4f08e7b464e239c7ab173dd45a90b55e10ebf | [] | no_license | WrathTitan/DLNeuralNetwork | e993f37faca865c369138ea61b346f9a998ad690 | c82ba35c1cf6cd20c573200d4c3f038e8f434d9e | refs/heads/master | 2023-04-04T06:50:19.007794 | 2021-04-23T16:18:10 | 2021-04-23T16:18:10 | 307,389,978 | 0 | 0 | null | 2020-10-29T16:24:58 | 2020-10-26T13:57:02 | Python | UTF-8 | Python | false | false | 565 | py | import numpy as np
import csv
myarr=np.genfromtxt('superfilteredFinal.csv',delimiter=',')
print(myarr)
print(myarr.shape)
print(myarr.T)
print("Ended one file")
mynewarr=np.genfromtxt('filteredFinal.csv',delimiter=',')
awesomestuff=mynewarr[:,1:]
print(awesomestuff)
print(awesomestuff.shape)
print(awesomestuff.T)
#my... | [
"rishabhbhatt159@gmail.com"
] | rishabhbhatt159@gmail.com |
1c6ff28e26ea56bf58d2d64410f7f7ccc128b1c3 | a51854991671a4389902945578288da34845f8d9 | /libs/Utility/__init__.py | 413df21a5385589d95b5c2ec9bf735a694a5e504 | [] | no_license | wuyou1102/DFM_B2 | 9210b4b8d47977c50d92ea77791f477fa77e5f83 | 69ace461b9b1b18a2269568110cb324c04ad4266 | refs/heads/master | 2020-04-13T18:54:20.045734 | 2019-06-17T12:46:23 | 2019-06-17T12:46:23 | 163,387,873 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 297 | py | # -*- encoding:UTF-8 -*-
from libs.Utility import Logger
import Alert as Alert
import Random as Random
from ThreadManager import append_thread
from ThreadManager import is_alive
from ThreadManager import query_thread
from Common import *
import ParseConfig as ParseConfig
from Serial import Serial | [
"jotey@qq.com"
] | jotey@qq.com |
407664d79d63688fa1904fc5d1148aa5d8d4d2ce | d1b6ca6d310d646b64385ed87fed71ccec1cb6e3 | /about_page.py | d42e1a4def82ac173833b9d7e2fa07e51909c25b | [] | no_license | skaushikk/USCIS-tracker | 7053d5af295632c8c1fa4ca0579cbf56e33497a4 | 1f4219c311f1a99a682fca6789e7922747338d2a | refs/heads/main | 2023-04-24T18:08:03.714906 | 2021-05-09T02:16:55 | 2021-05-09T02:16:55 | 361,353,468 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,714 | py | import streamlit as st
def app():
st.title('USCIS Case Status Analyzer')
st.subheader('Check, Analyze and Predict USCIS Application Status')
# st.markdown("<h3 style='text-align: right; color: gray;'>-- Kaushik Sirvole</h3>", unsafe_allow_html=True)
with st.beta_expander("ABOUT", expanded=True):
... | [
"skaushikk@gmail.com"
] | skaushikk@gmail.com |
18b12259ea05cacdcb9d10fcdd104daa667751b6 | 4b59ace76840cbeb28f0fac19f128cd3959a7c3a | /catalog/api/v1/utility.py | 4b15a94bb676733ffce5e82f091fc6cde3d1ce2c | [] | no_license | JoshuadeJong/ecommerce-microservice | 2a8f4d2f091c459dc9bcb47c01904f21c478cf91 | 246c6d0eb014df2946874cafcddebea1e0eaa97d | refs/heads/master | 2023-03-25T23:57:15.369285 | 2021-03-19T15:47:32 | 2021-03-19T15:47:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 204 | py | def item2dict(item_id, item) -> dict:
return {
"id": item_id,
"name": item.name,
"description": item.description,
"price": item.price,
"stock": item.stock
} | [
"joshuakdejong@gmail.com"
] | joshuakdejong@gmail.com |
bcfca9b47c82bc52528894a9459bda4232f48196 | f582461cc398909906a1ca65fa250105319289d8 | /spider_main.py | 986f58a635f53e9861335c7fe8c902f544f9017e | [] | no_license | ITT13021/baike_spider | d0dd637074c99cd7a1b9d703b4406939ed745fbd | 2a2eea68dd94bf15ec1769986554514c53a28854 | refs/heads/master | 2021-07-04T12:33:37.377379 | 2017-09-27T01:49:00 | 2017-09-27T01:49:00 | 104,868,967 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,568 | py | # coding=utf-8
from baike_spider import html_downloader
from baike_spider import html_outputer
from baike_spider import html_parser
from baike_spider import url_manager
class SpriderMain(object):
def __init__(self):
self.urls = url_manager.UrlManager()
self.downloader = html_downloader.HtmlDownloa... | [
"473457683@qq.com"
] | 473457683@qq.com |
9c49e6ca3bd2a42e53334ed4c4c2dee500c889b3 | ee1db6398a73882e750c86257b43390c5ec2a654 | /fpm/setup.py | 84cf025ee77323c37d5387470fd713ac4504e1a1 | [
"MIT"
] | permissive | gscigala/packet-generation | c795131e202e59d16fc99eca61008b850df9c6c5 | 137b2853e57756a9ade1af2e95c8b2839f401121 | refs/heads/master | 2021-01-23T03:12:48.984559 | 2017-04-04T13:50:46 | 2017-04-04T13:50:46 | 86,057,836 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,869 | py | """A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path
here = path.abspa... | [
"guillaume.scigala@smile.fr"
] | guillaume.scigala@smile.fr |
940dfcffd7da2f2431e4e7d093e93c7a44d5ca3b | 9699ff2d4f407746c80c507f158da02f5ab9596a | /subversion/contrib/hook-scripts/enforcer/.svn/text-base/enforcer.svn-base | caacf749ddd37057e18c2fd432789b0043a5914f | [
"BSD-3-Clause",
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"X11"
] | permissive | AsherBond/MondocosmOS-Dependencies | 7af67e41ae60b578800fc4184fa69a6b44da1715 | bfd2554e6c2cfc4bc1ecb2b653594ca9f0448392 | refs/heads/master | 2021-01-23T13:53:07.122515 | 2011-10-03T13:22:43 | 2011-10-03T13:22:43 | 2,504,513 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 17,260 | #!/usr/bin/python
# -*- coding:utf-8;mode:python;mode:font-lock -*-
##
# Utility for Subversion commit hook scripts
# This script enforces certain coding guidelines
##
# Copyright (c) 2005 Wilfredo Sanchez Vega <wsanchez@wsanchez.net>.
# All rights reserved.
#
# Permission to use, copy, modify, and distribute this sof... | [
"asherbond@asherbond.com"
] | asherbond@asherbond.com | |
fa4752f737897f35e16ed0b252a1230746f6ee6d | 7ff3ec2f2a6e093a63f09a30ec985c3564c79159 | /Demo_2/Raspberry_Pi/Threading/Pi_Comms_Multi_Threading.py | 7b0e7ee2d2290889fa410ff3a3ec584c98dfcb2e | [] | no_license | lkseattle/SEED_FALL_2020_T3-1 | 468dafe4193a6663d5dc6fa09ea7cfc9953f4455 | b7e026fee1d6f77f62fd84547beebac3b76c2532 | refs/heads/master | 2023-01-10T21:47:24.578863 | 2020-11-10T09:34:58 | 2020-11-10T09:34:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,016 | py | #Cameron Kramr
#10/09/2020
#EENG 350
#Section A
#Computer Vision
#NOTE, this module requires pygame to be installed in order to run
#The code in this file deals with communcicating with other devices outside of the raspberry pi.
import multiprocessing as mp
import termios
import os
import sys
from enum import Enum
fr... | [
"cameronkramr@mines.edu"
] | cameronkramr@mines.edu |
f794cd1dae5cb4ed8da0fc22286c5a047b86c2fa | d8a541a2953c9729311059585bb0fca9003bd6ef | /Lists as stack ques/cups_and_bottles.py | efc8af013cd606d663a6539b7b98d2807e6c28fc | [] | no_license | grigor-stoyanov/PythonAdvanced | ef7d628d2b81ff683ed8dd47ee307c41b2276dd4 | 0a6bccc7faf1acaa01979d1e23cfee8ec29745b2 | refs/heads/main | 2023-06-10T09:58:04.790197 | 2021-07-03T02:52:20 | 2021-07-03T02:52:20 | 332,509,767 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 604 | py | from collections import deque
cups = deque(map(int, input().split()))
bottles = list(map(int, input().split()))
wasted_water = 0
while cups and bottles:
current_cup = cups.popleft()
while current_cup > 0 and bottles:
current_bottle = bottles.pop()
current_cup -= current_bottle
if current_cu... | [
"76039296+codelocks7@users.noreply.github.com"
] | 76039296+codelocks7@users.noreply.github.com |
653e1569defce82bd7cefae6b2b508f8851295a1 | af4b590504660a302f53a6fd99a5cb2e1244b85f | /src/billing/models.py | d6325f0ceba818542cbc794137a9674a6eddcd9c | [] | no_license | qkhan/NewEcommerce | 3216da9e80567f9c548efcac0dd00ee754399848 | 12f40adf071471bdc30d76e07bc563949c5f5d19 | refs/heads/master | 2020-03-09T22:59:24.568434 | 2018-04-11T06:52:10 | 2018-04-11T06:52:10 | 129,048,139 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,701 | py | from django.conf import settings
from django.db import models
from accounts.models import GuestEmail
from django.db.models.signals import pre_save, post_save
User = settings.AUTH_USER_MODEL
class BillingProfileManager(models.Manager):
def new_or_get(self, request):
user = request.user
guest_email... | [
"qaisarkhan@Qaisars-iMac.local"
] | qaisarkhan@Qaisars-iMac.local |
09b1947d280f745d62a37740eb2545109fa7aba2 | 9ee0f0850d8743d08a2ecdf16e0e79ad58615908 | /Arrendador/serializers.py | cabceb1ac480eb63740d2b5e64a3c8ee0f187ca9 | [] | no_license | alexgrajales/plataforma-web-de-gesti-n-de-inmuebles-para-arrendatarios-independientes. | 20fb4ebb60940cd9fa40010515e8116cb4418d39 | ce335f05ff6f217a5c3b94022b51bf37b46adf5c | refs/heads/master | 2022-11-04T08:01:14.427926 | 2017-12-01T22:16:56 | 2017-12-01T22:16:56 | 110,597,537 | 0 | 1 | null | 2022-10-05T04:58:51 | 2017-11-13T20:20:53 | Python | UTF-8 | Python | false | false | 271 | py | from rest_framework import serializers
from rest_framework_mongoengine import serializers as mongoserializers
from Arrendador.models import Arrendador
class ArrendadorSerializer(mongoserializers.DocumentSerializer):
class Meta:
model = Arrendador
fields = '__all__' | [
"alex-12-04@hotmail.com"
] | alex-12-04@hotmail.com |
dca0df86cf196077787b8351e77a52367efaf8ea | a0af94e54aaeaf0dfc373196c3bc7372926a7c7f | /colorize | aca3ecc24004252a087c462d6b1a71056603bbf5 | [
"MIT"
] | permissive | cheshirex/colorize | 7170f3ff250009bc4ca40e7740498328b3bf1ab0 | c95049c312a422023e48b8e1522c57b4c2913446 | refs/heads/main | 2023-01-07T05:58:04.019437 | 2020-11-04T10:27:57 | 2020-11-04T10:27:57 | 309,968,575 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,445 | #!/usr/bin/env python
# Tool to colorize output based on regular expressions, designed to work both
# with ANSI escape sequences and with HTML color codes. Data to colorize is input
# on STDIN, and result is output on STDOUT
# Usage:
# colorize <ansi|html> <color config filename>
import sys
import re
html_escape_tab... | [
"noreply@github.com"
] | noreply@github.com | |
9b500090e5537a2b729caa78d0590d8753bbca89 | b92adbd59161b701be466b3dbeab34e2b2aaf488 | /.c9/metadata/environment/fb_post_learning/fb_post_clean_arch/views/delete_post/api_wrapper.py | 34ca1ee1bb0f47da7e80c5643b393f16129c97b8 | [] | no_license | R151865/cloud_9_files | 7486fede7af4db4572f1b8033990a0f07f8749e8 | a468c44e9aee4a37dea3c8c9188c6c06e91cc0c4 | refs/heads/master | 2022-11-22T10:45:39.439033 | 2020-07-23T09:31:52 | 2020-07-23T09:31:52 | 281,904,416 | 0 | 1 | null | 2022-11-20T00:47:10 | 2020-07-23T09:08:48 | Python | UTF-8 | Python | false | false | 480 | py | {"filter":false,"title":"api_wrapper.py","tooltip":"/fb_post_learning/fb_post_clean_arch/views/delete_post/api_wrapper.py","undoManager":{"mark":-1,"position":-1,"stack":[]},"ace":{"folds":[],"scrolltop":0,"scrollleft":0,"selection":{"start":{"row":17,"column":17},"end":{"row":17,"column":75},"isBackwards":true},"optio... | [
"r151865@rguktrkv.ac.in"
] | r151865@rguktrkv.ac.in |
2fb3b208f8422d53eb69c09474b9e669b7f9db6b | b30def8f44060e373dba0de9facb62964224d285 | /config.py | 97dc08977f3cd997b513264801ccb5c7cf5c2f98 | [] | no_license | saakash309/Data-Processing- | 1136e2612b7068d9fef695587070e2b98ebb7ff8 | 7857de4654c611689b422d8d6c88e61ba498a4c0 | refs/heads/main | 2023-09-04T20:30:49.225368 | 2021-11-23T06:04:45 | 2021-11-23T06:04:45 | 430,939,150 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,185 | py | from configparser import ConfigParser
from pprint import pprint
#reading the config file
class Data():
'''
Return a set of coulmns from a config file that will be displayed
Path = path of the configuration file
'''
def __init__(self,path) -> None:
self.path = path
def fields(... | [
"noreply@github.com"
] | noreply@github.com |
04a4e80f246a131d68d2616fcf175a178c694d71 | d87d83049f28da72278ca9aa14986db859b6c6d6 | /basic/coreFundamental/split_And_Join_And_strip/splitDemo.py | 91db33efa0f6d30926f416fb183b4cd31e8ff63d | [] | no_license | MonadWizard/python-basic | 6507c93dc2975d6450be27d08fb219a3fd80ed64 | 624f393fcd19aeeebc35b4c2225bb2fe8487db39 | refs/heads/master | 2021-07-21T16:12:58.251456 | 2020-10-12T19:46:21 | 2020-10-12T19:46:21 | 223,625,523 | 1 | 0 | null | 2019-11-23T18:01:43 | 2019-11-23T17:14:21 | HTML | UTF-8 | Python | false | false | 1,046 | py | s = 'this is a string of words'
print(s.split())
print("""
""")
print('That is also a string'.split())
print("""
""")
print(s.split('i'))
print("""
""")
words = s.split()
print(words)
for w in words:
print(w)
# rsplit
demo = "this is a fucked up"
rsplitee =... | [
"monad.wizar.r@gmail.com"
] | monad.wizar.r@gmail.com |
d1877db7913e58c396ec934ebb1dc1c993bcbbb5 | 892dd32ee0be7135cd33c875b06dcc66307dcc99 | /automation/MPTS/verifyIqn.py | b82a09a932deb898ea00bc911d3867e80a4c52da | [] | no_license | cloudbytestorage/devops | 6d21ed0afd752bdde8cefa448d4433b435493ffa | b18193b08ba3d6538277ba48253c29d6a96b0b4a | refs/heads/master | 2020-05-29T08:48:34.489204 | 2018-01-03T09:28:53 | 2018-01-03T09:28:53 | 68,889,307 | 4 | 8 | null | 2017-11-30T08:11:39 | 2016-09-22T05:53:44 | Python | UTF-8 | Python | false | false | 5,429 | py | import json
import sys
import time
from time import ctime
from cbrequest import configFile, executeCmd, executeCmdNegative, resultCollection, getoutput
config = configFile(sys.argv);
stdurl = 'https://%s/client/api?apikey=%s&response=%s&' %(config['host'], config['apikey'], config['response'])
negativeFlag = 0
if len... | [
"karthik.s@cloudbyte.com"
] | karthik.s@cloudbyte.com |
b799cd1b2094b8b6d385a69a3678787901adbe06 | 471e1738186b51373aa73057d91bbdb2575be6d6 | /anuario/pesquisador/admin.py | fd6fa9091a51a4000f772d4e4fb55386e31f74a4 | [] | no_license | pixies/portal-anuario-pesquisa | 1939c074ba9a70d715c0c48b07741364161a77b8 | 38873ec820ac75977ba2f989b1a472e1b9c62a4a | refs/heads/master | 2021-01-12T17:49:37.337465 | 2016-09-29T17:10:05 | 2016-09-29T17:10:05 | 69,398,984 | 0 | 0 | null | 2016-09-27T21:11:15 | 2016-09-27T21:11:15 | null | UTF-8 | Python | false | false | 209 | py | from django.contrib import admin
from .models import Pesquisador, Curso, Instituicao
# Register your models here.
admin.site.register(Pesquisador)
#admin.site.register(Curso)
#admin.site.register(Instituicao) | [
"eu@cflb.co"
] | eu@cflb.co |
580dbd15bf43272f28e3f9bd42413a905510cd76 | bef304291f5fe599f7a5b713d19544dc0cecd914 | /todoapp/todo_list/forms.py | 9fe1a617dd0f429fc6c8b3c1fa6885fee975c262 | [] | no_license | coderj001/django-todo-and-air-quality | 9ca847143ea86677a0d54026c060638fabf8c042 | 012ee15fa3cfbf1aa08ae4513c3bf4fa828b3ba3 | refs/heads/master | 2020-12-14T20:20:49.845722 | 2020-01-19T15:06:42 | 2020-01-19T15:06:42 | 234,855,834 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 147 | py | from django import forms
from .models import ToDoList
class ListForm(forms.ModelForm):
class Meta:
model=ToDoList
fields=['item','completed'] | [
"amirajubolchi001@gmail.com"
] | amirajubolchi001@gmail.com |
b9f5b0e85ced88524ab8f2e59229df6b0f93c821 | e60a342f322273d3db5f4ab66f0e1ffffe39de29 | /parts/zodiac/chameleon/__init__.py | 60fbbb344ac3c226ff2ca2148893e72d3fc26add | [] | no_license | Xoting/GAExotZodiac | 6b1b1f5356a4a4732da4c122db0f60b3f08ff6c1 | f60b2b77b47f6181752a98399f6724b1cb47ddaf | refs/heads/master | 2021-01-15T21:45:20.494358 | 2014-01-13T15:29:22 | 2014-01-13T15:29:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 75 | py | /home/alex/myenv/zodiac/eggs/Chameleon-2.13-py2.7.egg/chameleon/__init__.py | [
"alex.palacioslopez@gmail.com"
] | alex.palacioslopez@gmail.com |
d57c68ff01ec5c6b974091d91da38f8ac7708ec3 | 26371093460ea3026cdcd74e624b0c2d4b1d5892 | /Staff.py | 2fae3241689d94a0185840d38b2a6b21e9b9a6a3 | [] | no_license | meyerkeaton/ktmcbk | 0b636b1bc8e8be022f6423d88776191a606949c7 | 5bca15495ee1066658c59ae24c15be4028f8a4ff | refs/heads/main | 2022-12-28T05:41:09.453076 | 2020-10-15T05:09:20 | 2020-10-15T05:09:20 | 304,215,581 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 883 | py | import json
import User
class Staff(User.User):
def update_course_db(self):
with open('Data/courses.json', 'w') as fp:
json.dump(self.all_courses, fp)
def create_assignment(self,assignment_name, due_date, course):
assignment = {
assignment_name: {
... | [
"noreply@github.com"
] | noreply@github.com |
75d75f75c5dfebdcd52ba31013c836708232536a | 6e68d7f4bbd2cf2ecad7cdf6bbd07d6687f2685c | /preprocessing.py | a406884f0db4f90c620feac07d8ce7282e1b221b | [] | no_license | AbhinavJindl/sentiment_analysis | bd5a08345913d92cd5be0e61fe5095e196fb9d49 | b2154a89f3c0bfa89318e8d280734ed25af1cc5f | refs/heads/master | 2020-03-27T20:41:28.945916 | 2018-09-02T13:55:07 | 2018-09-02T13:55:07 | 147,086,857 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,108 | py | import random
import pickle
no_words = 5000
no_reviews = 1000
no_validation=1000
no_test=1000
forest_trees=50
forest_tree_features=2000
def add_noice(review_list_pos,review_list_neg,p):
n=int((p/100)*len(review_list)/2)
random.sample(review_list,n)
def load(filename):
file = open(filename,'rb')
obj=pickle.load... | [
"2016csb1026@iitrpr.ac.in"
] | 2016csb1026@iitrpr.ac.in |
6b2843c0a678ffe8be10b0d147adee1740dc58da | a5f8eb72e680a906f74ae53d2b6428fbb008320c | /31-zip.py | a48620bb23a58f1ecfdebf53d239f9cf71d077e5 | [] | no_license | arn1992/Basic-Python | 0588858aed632ac9e65e5618d5b57bcbe71c45bc | 09b9bf2364ddd2341f95445e18868e2e0904604d | refs/heads/master | 2020-06-28T18:35:32.394730 | 2016-12-15T07:21:33 | 2016-12-15T07:21:33 | 74,483,622 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 127 | py | first=['ratul','aminur','arn']
last=['tasneem','ishrar']
names=zip(first,last)
for a,b in names:
print(a,b)
| [
"noreply@github.com"
] | noreply@github.com |
d8aac991213a5218618098233100d5a23603c036 | 9d48dc6e54f959285ed3ab15006d664d42db7c01 | /assistant_module/get_energy.py | 17e7b4311937c5f4041a66ce17b38da77f929ad5 | [] | no_license | sandylaker/saradc_toolbox | d971936ec5b13fb467f991b351b30fccad00876a | b7b8f3d6c15a7c522cd89267739318c78e4d6a37 | refs/heads/master | 2020-03-27T11:42:29.520183 | 2018-09-15T21:03:47 | 2018-09-15T21:03:47 | 146,503,308 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,098 | py | import numpy as np
from assistant_module.get_decision_path import get_decision_path
def get_energy(n, switch='conventional', structure='conventional'):
"""
get the energy consumption of every code, each code represents the possible decision level before the last
decision(a odd decimal integer).
:param... | [
"lfc199471@gmail.com"
] | lfc199471@gmail.com |
8c933fd456834988004265d8cb6e1a7801ec7b35 | b013eb7ffc0c41e874c04a55065de96a9313ab17 | /longest_path1.py | f3d3b164a7b8e8b0244d280f07fd701a95f4287a | [] | no_license | YuiGao/shortest_longest_path | 69fcf5724cfb03e7a94f33b507fa25e7c41f69ed | 111d85c2fa090b497cc2896ddf644a21ffc4e69f | refs/heads/master | 2020-05-07T19:29:09.282219 | 2019-04-11T14:54:47 | 2019-04-11T14:54:47 | 180,815,191 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,509 | py | nodes = ('A', 'B', 'C', 'D', 'E', 'F', 'G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z')
distances = {
'A':{'B':5,'C':6,'D':4,'E':7},
'B':{'A':5,'F':2,'G':3},
'C':{'A':6,'F':6,'G':4,'H':1},
'D':{'A':4,'G':7,'H':3,'I':6},
'E':{'A':7,'H':9,'I':1},
'F':{'B':2,'C':6,'J... | [
"1205319351@qq.com"
] | 1205319351@qq.com |
8e1418e4e26d871472531d0c334592b6736bee75 | 07f37b31c48ae80d32831fe6eb3f58b2e9f9a0f0 | /tpcfit/models.py | 872bf6829ff506949e0289d4396550c3a78be115 | [] | no_license | hjosullivan/CMEEProject | 2dcf970f2be47b43c81b78ac9dc754ef96199663 | ee3dc452d9d61734f41eff94e2f4d0d896ed0cbe | refs/heads/master | 2022-08-26T12:49:52.615471 | 2019-08-29T14:31:41 | 2019-08-29T14:31:41 | 160,700,900 | 0 | 0 | null | 2022-08-23T17:33:45 | 2018-12-06T16:20:56 | Python | UTF-8 | Python | false | false | 18,125 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
""" models.py contains all available mathematical models to be fitted to thermal performance curves.
NOTE: Currently only Sharpe-Schoolfield variants """
import numpy as np
from lmfit import minimize, Minimizer, Parameters
class ThermalModelsException(Exception):
""... | [
"noreply@github.com"
] | noreply@github.com |
91f2e963910d164e1fa3ecf41f3875ae6dd1b8e6 | 4fc5c908df8c0aecb4943e798c9c71c542a96584 | /samples/practice1_Milana.py | 3d038dea120dcb17d2a350f9b410f72a73b176fa | [
"Apache-2.0"
] | permissive | Milana009/UNN_HPC_SCHOOL_2019_ML | 84d51cdd7a499139a0297a76522350de74b7ff4c | d5bb7a8ab5f026f2bc4df896019ded5987040295 | refs/heads/master | 2020-09-13T07:58:32.456350 | 2019-11-19T23:04:02 | 2019-11-19T23:04:02 | 222,703,246 | 1 | 0 | Apache-2.0 | 2019-11-19T13:31:23 | 2019-11-19T13:31:22 | null | UTF-8 | Python | false | false | 1,157 | py | import sys
import cv2
import logging as log
import argparse
sys.path.append('../src')
from imagefilter import ImageFilter
def build_argparse():
parser=argparse.ArgumentParser()
parser.add_argument('-i', '--input', help = 'your input', type = str)
parser.add_argument('-w', '--width', help = 'your widt... | [
"Milana_Vagapova"
] | Milana_Vagapova |
3fccf4fa9600a4a3e7b07d4b28660e603bcef30e | 781e2692049e87a4256320c76e82a19be257a05d | /all_data/exercism_data/python/triangle/0296cbe043e446b8b9365e20fb75c136.py | 18e84ab880631f7510539ae77e9524b0eda2b632 | [] | no_license | itsolutionscorp/AutoStyle-Clustering | 54bde86fe6dbad35b568b38cfcb14c5ffaab51b0 | be0e2f635a7558f56c61bc0b36c6146b01d1e6e6 | refs/heads/master | 2020-12-11T07:27:19.291038 | 2016-03-16T03:18:00 | 2016-03-16T03:18:42 | 59,454,921 | 4 | 0 | null | 2016-05-23T05:40:56 | 2016-05-23T05:40:56 | null | UTF-8 | Python | false | false | 621 | py | # represents a triangle
class Triangle(object):
_kinds=["equilateral","isosceles","scalene"]
def __init__(self,a,b,c):
if a<=0 or b<=0 or c<=0:
raise TriangleError("Triangles cannot have zero or negative side length.")
if a+b<=c or a+c<=b or b+c<=a:
raise TriangleError("Triangles must satisfy the t... | [
"rrc@berkeley.edu"
] | rrc@berkeley.edu |
748f97751e80a2258b78d59ce4a378db9a54d1b5 | b743a6b89e3e7628963fd06d2928b8d1cdc3243c | /bpl_client/Client.py | c9143098c648f30df369d458d22b99d0e6d61a3a | [
"MIT"
] | permissive | DuneRoot/bpl-cli | 847248d36449181856e6cf34a18119cd9fc1b045 | 3272de85dd5e4b12ac5b2ad98bf1e971f3bf5c28 | refs/heads/master | 2020-03-25T17:42:06.339501 | 2019-02-20T19:20:26 | 2019-02-20T19:20:26 | 143,990,801 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,781 | py | """
BPL Client
Usage:
bpl-cli network config new
bpl-cli network config use
bpl-cli network config show
bpl-cli network peers
bpl-cli network status
bpl-cli account create
bpl-cli account status <address>
bpl-cli account transactions <address>
bpl-cli account send <amount> <recipient>
bpl-cli accou... | [
"johnyob132@gmail.com"
] | johnyob132@gmail.com |
d115bee72cd6afec3acc95c9eb09d4221573f345 | 9abebf3d5b197a20a16829035e8d3623220c7822 | /Chapter3/BigOListIndex.py | d355aab09621e3116e41f59a31b87c89427a2f5c | [] | no_license | JoeVentrella/CS260 | 61e4e834f6c767d80cfe1e19460168f707e15bcd | a717f4b476b6e80f25cd74c8effc343624ec9b42 | refs/heads/master | 2020-08-08T04:19:33.906563 | 2019-12-15T01:54:40 | 2019-12-15T01:54:40 | 213,710,821 | 0 | 0 | null | 2019-10-08T17:57:35 | 2019-10-08T17:42:15 | null | UTF-8 | Python | false | false | 765 | py | import random
import timeit
exampleList = list(range(10000))
num = 10000
def bigOForListIndex(exampleList, n):
"""
Experiment to verify list index is O(1)
"""
for i in range(num):
index = random.randint(0, num-1)
exampleList[index]
def main():
for n in range(1000000, 10000001, 100... | [
"ventrellajoe1@gmail.com"
] | ventrellajoe1@gmail.com |
7f7434016d940893c9cb3b72ea218d424554329e | ea416617fdf6632081cb91fccfb2e8fa5965ad9e | /plan/migrations/0002_route.py | f4cf7c2b4ef825c3680cda2b86819c90200f91f0 | [] | no_license | fergalpowell/final_year_project | 249f8289ab84b5daba98a9f262e1a2637760cd49 | 568e8cb646ccf5b6a25c1368ffd2204d7d5f08ab | refs/heads/master | 2021-09-13T17:29:26.868935 | 2018-05-02T15:03:14 | 2018-05-02T15:03:14 | 112,532,473 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 698 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2018-04-17 11:22
from __future__ import unicode_literals
import django.contrib.gis.db.models.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('plan', '0001_initial'),
]
operations = [... | [
"fergal.powell@gmail.com"
] | fergal.powell@gmail.com |
8d311b4049baf3cfb4d2c9c41c06f410bd88211c | 74e6ea749db5e989dcec9e85a6dadab44b73a91e | /restserver1/quickstart/svm.py | 5aaf952eb9b89fe62df47c84fe7b73d10361507e | [] | no_license | torahss/restserver | 94d373c31cc54aef32f3eeb24844c6c4af7be604 | dadcb1c8c08b7af375bda3f9c2bca47a63a5b761 | refs/heads/master | 2023-02-02T12:48:38.672797 | 2020-12-21T12:50:16 | 2020-12-21T12:50:16 | 323,330,851 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,228 | py | from sklearn.svm import SVC
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
import pandas as pd
def svmRun(inputdata) :
data = pd.read_csv('/var/www/restserver/quickstart/train.csv', header=0, index_col=0, squeeze=True)
dataset = pd.DataFrame(data)
t_data = ... | [
"sungsamhong@gmail.com"
] | sungsamhong@gmail.com |
431bab8eea3abbc7fae959c140647f6a74cb2440 | a266cfe89cf9c7347abf712e3b800468438448c2 | /extra_addons/formio_data_api/__manifest__.py | 1449bd63251da49b08f0d9e19d5075ac17b82eaf | [] | no_license | cialuo/project_template | db8b9f9c4115a6d44363a39e311363e8f3e7807f | 2f875bdc5b730afeae3dd8dffafde852d0a44936 | refs/heads/main | 2023-03-09T17:50:55.398557 | 2021-02-24T00:17:59 | 2021-02-24T00:17:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 669 | py | # Copyright Nova Code (http://www.novacode.nl)
# See LICENSE file for full licensing details.
{
'name': 'Forms | Data API',
'summary': 'Python API for Forms data (builder, form/submission).',
'version': '0.5',
'license': 'LGPL-3',
'author': 'Nova Code',
'website': 'https://www.novacode.nl',
... | [
"dungth@trobz.com"
] | dungth@trobz.com |
aa43f40b58364ba1f55d60b52c75f3e4b4bbfeb9 | 7136e5242793b620fa12e9bd15bf4d8aeb0bfe7a | /examples/adspygoogle/dfp/v201101/get_licas_by_statement.py | 9086f2f5d7006a77c1a7b578138725bf4db3479b | [
"Apache-2.0"
] | permissive | hockeyprincess/google-api-dfp-python | 534519695ffd26341204eedda7a8b50648f12ea9 | efa82a8d85cbdc90f030db9d168790c55bd8b12a | refs/heads/master | 2021-01-10T10:01:09.445419 | 2011-04-14T18:25:38 | 2011-04-14T18:25:38 | 52,676,942 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,266 | py | #!/usr/bin/python
#
# Copyright 2011 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | [
"api.sgrinberg@7990c6e4-1bfd-11df-85e6-9b4bd7dd5138"
] | api.sgrinberg@7990c6e4-1bfd-11df-85e6-9b4bd7dd5138 |
4327917009b231fd6cbcb15c547b3403e777d4b3 | 856762ba0c6c69f4b086689764fad0d019a50146 | /图片颜色分割.py | 9d7ada5b5d96e3196d6bf53313ed2f2350199158 | [] | no_license | JonathanScoot/Events | bc9ec0194a972fe677693a1a8bff7539ff474bbf | 795442eb56345b876847ce3c32ea4ea0631ddfb9 | refs/heads/master | 2020-04-30T13:37:13.664734 | 2019-03-21T03:33:32 | 2019-03-21T03:33:32 | 176,863,623 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 234 | py |
import cv2
import numpy as np
cap = cv2.imread('/Users/wangjie/Desktop/road1.jpg', 0)
while True:
displayimage = cv2.imshow('road', cap)
k=cv2.waitKey(5) &0xFF
if k==27:
break
cv2.destroyAllWindows()
cv2.line() | [
"Jonathan@MacBook-Pro-2.lan"
] | Jonathan@MacBook-Pro-2.lan |
11b5246e31e2f5ef8ad5e9bcb8fdfabe438a1953 | 6defd2219720396842ac564e7d6bf4f5146eddda | /pycatenary.py | 0918a0110a0feec62435cf74110d084ab14fdc9e | [
"LicenseRef-scancode-warranty-disclaimer"
] | no_license | fsanges/pyCatenary-NoElast | 2e111d379d36582b6b1851d4e4eb2bc004f4dc25 | 5901b06a208b802f12990ca0ecdce8c975c4a0e5 | refs/heads/master | 2021-12-01T20:55:56.685777 | 2013-04-01T11:46:34 | 2013-04-01T11:46:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,660 | py | # !usr/bin/env python
# catenary calculation, re-written in python - NO Elasticity!!!
import math
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import fsolve
from inout import write_file
def cat(a):
# defining catenary function
#catenary eq (math): a*sinh(L/(2*a)+atanh(d/S))+a*sinh(L/(2... | [
"deki.djokic@gmail.com"
] | deki.djokic@gmail.com |
86404a656d1321585c146107b8e2b33929d19370 | 809f119d53610261d71c5e9b5f620c41524868b1 | /main.py | eb0ecb4bd43e420c3f19ab15dbdcc22cd75d1cd5 | [] | no_license | HackerulGogu/SnakeImpact | d07c9866ec8b4320c393b24fbd47793e0c03a140 | c6c65f9e1de5cc446a56340ac0462cc4ed362b75 | refs/heads/master | 2021-04-11T04:19:15.420141 | 2020-03-21T14:51:55 | 2020-03-21T14:51:55 | 248,991,501 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15 | py | print('merge')
| [
"novaialex44@gmail.com"
] | novaialex44@gmail.com |
7a01f23b1d83f8f97510a946715871ec8f1d5700 | 6d63fb09abb41f2c3f6ba66091b8c0507044104d | /py/liu.py | 3d41ef1913f6c48a13f1ebb8c86ac5ac6a627c48 | [] | no_license | buaaswf/backup-my-projects | dbc3d0c4ac5af38b4b8ce07be7978e3ff36cf75c | 73577385da85fdd5899cb471220dd8334ca603bc | refs/heads/master | 2021-04-15T03:44:06.248881 | 2018-03-22T08:58:36 | 2018-03-22T08:58:36 | 126,304,153 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,242 | py | #!/usr/bin/env python
# encoding: utf-8
import numpy as np
import sys
from sklearn.metrics import classification_report
sys.path.insert(0,"/home/s.li/2017/gpu4/caffe-segnet-cudnn5/python")
import matplotlib.pyplot as plt
import caffe
import os
import scipy.io
import shutil
from mnist_single_plot_roc import... | [
"noreply@github.com"
] | noreply@github.com |
405974db9681a1efc9bb65d55fa0ae64ee33d230 | 94470cf07f402b1c7824e92a852cd3203f94ac4a | /polls/apiviews.py | 6f6ca88b9da4638cbf0f4888e4305f24fa9ffee5 | [] | no_license | jbeltranleon/pollsapi_django_rest | c509bf0b0c1e2db870ed8a4aaa1647bf74c5f8cd | 0855820541064ffd77dbd1c6e77f695d4f18e517 | refs/heads/master | 2020-04-14T17:55:02.364183 | 2019-01-04T16:01:46 | 2019-01-04T16:01:46 | 163,999,126 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,203 | py | from rest_framework import generics
from rest_framework.views import APIView
from rest_framework import status
from rest_framework.response import Response
from .models import Poll, Choice
from .serializers import PollSerializer, ChoiceSerializer,\
VoteSerializer
class PollList(generics.ListCreateAPIView):
q... | [
"jbeltranleon@gmail.com"
] | jbeltranleon@gmail.com |
e27d03897ae226bf6eafffa5093cee07b628880d | a1dd6f2e13506b54120532c2ed093dc270eff4ac | /GridServices/TransactiveControl/TNT_Version1/TNSAgent/tns/transactive_record.py | 3f466148e9947fe21eff8fd0e8fe6acc846f3d6b | [
"BSD-3-Clause"
] | permissive | shwethanidd/volttron-pnnl-applications-2 | ec8cc01c1ffeff884c091617892fea6e84a3e46e | 24d50729aef8d91036cc13b0f5c03be76f3237ed | refs/heads/main | 2023-06-18T12:13:13.607951 | 2021-06-30T23:00:01 | 2021-06-30T23:00:01 | 359,586,385 | 0 | 0 | BSD-3-Clause | 2021-04-19T20:15:45 | 2021-04-19T20:15:45 | null | UTF-8 | Python | false | false | 4,505 | py | """
Copyright (c) 2020, Battelle Memorial Institute
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
list of conditions and... | [
"shwetha.niddodi@pnnl.gov"
] | shwetha.niddodi@pnnl.gov |
8dffd82bcaecce6cabc8c75ad494f05fdb50eb2c | 463b1807820b9fa119e0c17afaa06840fef0e2a3 | /TURTLE/Rainbow.py | c1cd2fce89f6b3134ecc681a44f9b1183f16a2cc | [] | no_license | ferdi-oktavian/Python | ad8aac711d5565739077a6e5358777807dd464d3 | 27ad83aeedb3e460927bfcf179bc4e4b1ed28366 | refs/heads/main | 2023-03-09T02:49:54.481087 | 2021-03-02T00:12:54 | 2021-03-02T00:12:54 | 343,593,542 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 681 | py | import turtle
import colorsys
def draw_one_color_arc(x, y, r, pensize, color):
turtle.up();turtle.goto(x+r,y)
turtle.down();turtle.seth(90)
turtle.pensize(pensize);turtle.pencolor(color)
turtle.circle(r,180)
turtle.speed(0)
turtle.hideturtle()
turtle.bgcolor('light blue')
t... | [
"noreply@github.com"
] | noreply@github.com |
90352a180e75d18219b8cba394d4d2b8f03de187 | aa0270b351402e421631ebc8b51e528448302fab | /sdk/synapse/azure-synapse-artifacts/azure/synapse/artifacts/operations/_spark_configuration_operations.py | 9d5b1194a4b1cae79ac490bbe3402239b826e729 | [
"MIT",
"LGPL-2.1-or-later",
"LicenseRef-scancode-generic-cla"
] | permissive | fangchen0601/azure-sdk-for-python | d04a22109d0ff8ff209c82e4154b7169b6cb2e53 | c2e11d6682e368b2f062e714490d2de42e1fed36 | refs/heads/master | 2023-05-11T16:53:26.317418 | 2023-05-04T20:02:16 | 2023-05-04T20:02:16 | 300,440,803 | 0 | 0 | MIT | 2020-10-16T18:45:29 | 2020-10-01T22:27:56 | null | UTF-8 | Python | false | false | 33,298 | py | # pylint: disable=too-many-lines
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRe... | [
"noreply@github.com"
] | noreply@github.com |
cdf669514aaf2c1d7c33248746135d7b0232f29f | 184ab7b1f5d6c4a4382cf4ffcf50bbad0f157ef1 | /library/aht10/aht10_example.py | 46df77a8a71666025fda1409a3c5b7ebdbed9497 | [] | no_license | RT-Thread/mpy-snippets | fdd257bb9f44cdc92e52cd39cdc88a57d736fb26 | 9296d559da275f51845cb9c2f8e2010f66f72cc1 | refs/heads/master | 2023-06-14T02:20:05.449559 | 2020-06-03T02:34:47 | 2020-06-03T02:35:19 | 198,854,793 | 28 | 18 | null | 2020-05-06T11:32:46 | 2019-07-25T15:14:56 | Python | UTF-8 | Python | false | false | 517 | py | from machine import I2C, Pin
from aht10 import AHT10
PIN_CLK = 54 # PD6, get the pin number from get_pin_number.py
PIN_SDA = 33 # PC1
clk = Pin(("clk", PIN_CLK), Pin.OUT_OD) # Select the PIN_CLK as the clock
sda = Pin(("sda", PIN_SDA), Pin.OUT_OD) # Select the PIN_SDA as the data line
i2c = I2C(-1, clk, sda,... | [
"SummerGift@qq.com"
] | SummerGift@qq.com |
fc6660d4b5263329f3ba30e3115d2c3f11ba7cdc | 36a5fb4183534c1f7e2523a80c510c4d59746fe9 | /sgs/cmd_handlers.py | 7bc5a5e76f1656a7f16962450eba8dd8fac19ae0 | [] | no_license | morningbzy/SGS | 85856ce313a404430fab7fffc5dfc5f9603feaab | 23db709af3e56d6082c8283ea2fd6f0caf10e85e | refs/heads/master | 2021-01-15T13:18:19.315256 | 2013-08-07T15:38:39 | 2013-08-07T15:38:39 | 10,073,280 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,143 | py | # -*- coding: UTF-8 -*-
import logging
import tornado.escape
import tornado.auth
import tornado.web
from sgs.user import global_users
from sgs.game import global_game
from sgs.cmd import Cmd
class BaseHandler(tornado.web.RequestHandler):
def get_current_user(self):
user_json = self.get_secure_cookie("us... | [
"morningbzy@gmail.com"
] | morningbzy@gmail.com |
ecf5f0f62c51ab6359317746fd5f24df8967cb26 | d268ee5da12d4eecc7bf97f37ec71ae58fe5854d | /data_set_prep/dataset_prep_scr.py | 0cc7adb12c263a0b1b7b24868476e42d26b4213b | [] | no_license | oiynick/rcnn_buildings | b5760727fc0063086362eaffe32e36e2fafc75e7 | 1be3d554e5e3a0bc13ed086c73f3a87f61e025d5 | refs/heads/master | 2020-04-28T08:57:19.537442 | 2019-03-21T12:54:29 | 2019-03-21T12:54:29 | 175,148,681 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,222 | py | import numpy as np
import shapely
from aeronet import dataset as ds
def one_sample(fp_json, fp_tif):
# Read the JSON file and the TIF image
av_features = ds.vector.FeatureCollection.read(fp_json)
raster = ds.raster.Band(fp_tif)
# Image sizing info and setting up the coordinates
samples = raster.... | [
"nikita.veliev@skoltech.ru"
] | nikita.veliev@skoltech.ru |
dcad9b56560d0941b2a0e5ed5d3b3e2336da3c37 | 0785df5c1d893a23a77b73617c1b5c10e6ac238f | /local.py | 7dd3a4cb48cf307e906381640d9a3d04ea3eccd3 | [] | no_license | AnufrievaAnastasia/Project3 | dd9482b2c1cb1722c4a1bcfd69f8c3f8210b7fbf | 237bf9f9c04704a2e8a22ac4088d4ad805f8eeac | refs/heads/master | 2020-08-23T05:03:21.903122 | 2019-10-21T11:21:05 | 2019-10-21T11:21:05 | 216,549,336 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,297 | py | TXT_TASK = 'Игра "Правда или Ложь", на прохождение у вас только две попытки'
TXT_ANS_1 = 'Самым твердым природным материалом на Земле является титан '
TXT_ANS_2 = 'В среднем около 10 лет человек проводит во сне '
TXT_ANS_3 = 'Стрекозы - самые быстролетающие насекомые '
TXT_ANS_4 = 'Фильм "Титаник" стоил дороже, чем стр... | [
"anufrieva_01@mail.ru"
] | anufrieva_01@mail.ru |
4d1858de9f200007868855912c5cb09bbd0ff480 | b99255c89683d4123a560a1eb6221b21013d917d | /path_manager/page/category_page.py | f51ce67d375f686b79ed3751f06300e58f94fc61 | [
"MIT"
] | permissive | sweetcolor/internet_market_scraper | f7a89e8c54124aadfecaa89f1c84d6c73762ff8b | f7eb8c9ade2c0a956ba5d5b7e6173010c85afed6 | refs/heads/master | 2021-09-04T04:05:46.529150 | 2018-01-15T17:02:59 | 2018-01-15T17:02:59 | 115,523,578 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 156 | py | from path_manager.page.page import Page
class CategoryPage(Page):
def __init__(self, link, parent_page):
super().__init__(link, parent_page)
| [
"sweet3color@gmail.com"
] | sweet3color@gmail.com |
e2e44ffd1b8897513aaba446dd704ac14b2c5945 | 35dbd536a17d7127a1dd1c70a2903ea0a94a84c2 | /src/sentry_plugins/sessionstack/client.py | 2c50f1bafe960bbe0331c77cff05e234168642de | [
"Apache-2.0",
"BUSL-1.1"
] | permissive | nagyist/sentry | efb3ef642bd0431990ca08c8296217dabf86a3bf | d9dd4f382f96b5c4576b64cbf015db651556c18b | refs/heads/master | 2023-09-04T02:55:37.223029 | 2023-01-09T15:09:44 | 2023-01-09T15:09:44 | 48,165,782 | 0 | 0 | BSD-3-Clause | 2022-12-16T19:13:54 | 2015-12-17T09:42:42 | Python | UTF-8 | Python | false | false | 4,683 | py | import requests
from sentry.http import safe_urlopen
from sentry.utils import json
from .utils import add_query_params, get_basic_auth, remove_trailing_slashes
ACCESS_TOKEN_NAME = "Sentry"
DEFAULT_SENTRY_SOURCE = "sentry"
API_URL = "https://api.sessionstack.com"
PLAYER_URL = "https://app.sessionstack.com/player"
W... | [
"noreply@github.com"
] | noreply@github.com |
f5dff936815d2f26b852c4ae10f5bf7d9e9004b8 | ed569623f4686688edac40c2dabde0206546316b | /tests/unit/models/company_test.py | 00eea0a1fdd38459098b429e193dbf491738925e | [] | no_license | leobene/RadarMiles | 34753114854f9dff7ee781060c2f99ec3a54d468 | 9810b04f29ba5a514dfcbfb0679f304f93842d37 | refs/heads/master | 2020-04-08T09:13:02.806563 | 2018-12-03T23:46:58 | 2018-12-03T23:46:58 | 159,213,641 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 711 | py | from models.company import CompanyModel
from tests.base_test import BaseTest
class CompetitionTest(BaseTest):
def test_create_competition(self):
company = CompanyModel('GOL')
self.assertEqual(company.name, 'GOL',
"The name of the company after creation does not equal the ... | [
"leobene@192.168.0.100"
] | leobene@192.168.0.100 |
3c7e5c0670bdcf86f8a00bc3574132e66221f1ea | 579f04eda7851cd89e04cd39ecf48a0d09f63244 | /mandala/sketch_cat.pyde | 4655f0ece0ab99fab7be7870be78a7ab91572cb4 | [] | no_license | jralipe/ccs221 | 0f378492a380b292e35ff7ec27b4e37cb1992726 | c70f7834c707c089d2ce01a54b9eda70f50c418f | refs/heads/master | 2020-12-28T18:22:15.919736 | 2020-05-29T00:48:53 | 2020-05-29T00:48:53 | 238,438,446 | 3 | 27 | null | 2020-03-05T11:31:06 | 2020-02-05T11:52:29 | Python | UTF-8 | Python | false | false | 3,287 | pyde | #Nyancat by Maria Arlyn Fuerte
#BSCS1A
catx = 0
caty = 0
flag = True
def setup():
size(900, 600)
background(25, 25, 112)
def draw():
global catx
global caty
global flag
noStroke()
background(25, 25, 112)
fill(255, 0, 0) #RED
rect(0, caty +150, 200... | [
"noreply@github.com"
] | noreply@github.com |
63cf85af944332bdcc3cf505a3931ab50cb64c0f | 600f361ac85c87dbc3a17cf3908dc0f4267a8c94 | /quality-trim.py | 2c2ac719751b4fb20d6f92a2f88d1c78ab76ac60 | [] | no_license | LeeBergstrand/Bioinformatics_scripts | 801f00ea5d4346daf00f92d331f4a87737280ddd | 0cfab04ecf43cf4f0aeba2d713532190cfc5eed1 | refs/heads/master | 2021-01-15T15:23:43.455647 | 2015-05-05T05:25:55 | 2015-05-05T05:25:55 | 19,826,979 | 3 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,170 | py | #!/usr/bin/env python
import sys
import screed
import gzip
# python quality-trim.py <input fastq file> <output filtered fastq file>
# MINLENGTH is the minimum lenth of read desired. NCALLS is the percentage of a read with 'N' base calls for which if read has greater, it will be removed.
MINLENGTH = 30
filein = sy... | [
"carden24@mail.ubc.ca"
] | carden24@mail.ubc.ca |
7efbf28a97b17e623a9be0e1d817befa061257fc | fe061550aa4a6d894aba6fc91ec3f4a9c276ee5d | /ALCARAW_RECO/python/pdfSystematics_cff.py | 25c61242fc5df1a2a7699333ce47b47e4d7cdd91 | [] | no_license | ldcorpe/ECALELF | 0f11c04c63cd4ef9c0fac9168d827c8b4d99eada | 6f8196c6c455b9ff092007ea5d0e69fc6e68a517 | refs/heads/master | 2020-12-30T22:08:58.160533 | 2014-03-05T09:35:07 | 2014-03-05T09:35:07 | 17,245,358 | 0 | 0 | null | 2015-07-23T17:14:56 | 2014-02-27T10:37:42 | C++ | UTF-8 | Python | false | false | 727 | py | import FWCore.ParameterSet.Config as cms
# Produce PDF weights (maximum is 3)
pdfWeights = cms.EDProducer("PdfWeightProducer",
# Fix POWHEG if buggy (this PDF set will also appear on output,
# so only two more PDF sets can be added in PdfSetNames if not "")
... | [
"shervin@cern.ch"
] | shervin@cern.ch |
d31bf01470b66161944add4d5f0c467767484f48 | 1a7ac4eb338f53e96f92c84d560fd1707607bcc9 | /ENV/bin/jupyter | 3897bd35c4d09274ecf81879fcf8337d7d1c9519 | [] | no_license | kuwar/data-science-python-1 | cf3d04dbcf3e57fe6976be7e2f3371ee0eb3304f | 2738d00cb339c250fdeca30ad84d9be7ca87e570 | refs/heads/master | 2022-10-18T09:15:56.181434 | 2019-09-10T06:39:44 | 2019-09-10T06:39:44 | 207,480,173 | 0 | 1 | null | 2022-10-13T06:11:52 | 2019-09-10T06:20:01 | Python | UTF-8 | Python | false | false | 265 | #!/home/saurav/Documents/GitHub/Python/second/ENV/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from jupyter_core.command import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"skuwar@olivemedia.co"
] | skuwar@olivemedia.co | |
6e295f76fbefde92e0f7d98a4c2ea8a9eb480c01 | 71e6546941d2763946b69800dfb15679fab70d14 | /image_process.py | 7b0734e9d6eda4d01c3dc08c071991c44d18d957 | [] | no_license | ruitengchang/private | 510d58d1ca5ad5cc7ec7147f0ae00249f38da0a4 | f9ac73cd1f21d4f1febc0abca627bb1fce2fe3a5 | refs/heads/master | 2020-06-05T17:12:34.768517 | 2019-06-18T09:52:55 | 2019-06-18T09:52:55 | 192,493,277 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,368 | py | import cv2 as cv
import numpy as np
import os
def line_image(image):
gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
#cv.imshow("gray",gray)
edges = cv.Canny(gray, 100, 500, apertureSize=3)
#cv.imshow("canny",edges)
# contours,hierarchy=cv.findContours(edges,cv.RETR_LIST,cv.CHAIN_APPROX_SIMPLE)
#... | [
"noreply@github.com"
] | noreply@github.com |
31508bdac6628284abbbd3294418d6af5c325c67 | b8d5270f2af049e795d02887fbe322054b82f600 | /SC16IS750.py | 28bdf44a54e2501340f0142873eca248d24d6733 | [] | no_license | Harri-Renney/SC16IS750 | 1d73c42aa7fbec05413d7c2e7ea4fca2477e799c | 8da36a31ca930ea88af2e73cce6ea163bda3ba25 | refs/heads/master | 2021-08-18T05:26:22.753747 | 2020-03-26T20:58:12 | 2020-03-26T20:58:12 | 141,274,557 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,484 | py | import smbus
from enum import IntEnum
class SC16IS750:
self.DEVICE_ADDRESS = 0x9A
CrystalFrequency = 0
class registers(IntEnum):
RHR= 0x00 # Receive Holding Register (R)
THR= 0x00 # Transmit Holding Register (W)
IER= 0x01 # Interrupt Enable Register (R/W)
F... | [
"harri.renney@blino.co.uk"
] | harri.renney@blino.co.uk |
0f9da5641c14d6d47418ae74359cbd602a3a8681 | 178eb0567fd21b65df6f95d7342d971fb253f91e | /AI/Classifiers/models/load.py | d0adbb5c1c02bded01575f019398c91e8808eb4a | [] | no_license | Zhaofan-Su/SemanticAnalysis | defacbcde5f6c541de9c4cfa37138a449c03ce60 | f28813bf21d6170ffe826dd7edcad73cc244da9b | refs/heads/master | 2020-05-07T11:59:15.138559 | 2019-04-23T00:53:45 | 2019-04-23T00:53:45 | 180,484,689 | 0 | 0 | null | 2019-04-17T02:46:54 | 2019-04-10T02:20:34 | Python | UTF-8 | Python | false | false | 2,124 | py | import os
import torch
import torch.nn.functional as F
import datetime
import torch.autograd as autograd
import jieba.posseg as pseg
from .fasttext import FastText
import torchtext.data as data
from .input import Dataset
from torchtext.vocab import Vectors
import os.path as path
def _chinese_tokenizer(sentence):
e... | [
"nee_11235@qq.com"
] | nee_11235@qq.com |
3a4928e43a8d2eb7a9e58b5e4c3c04eee176b3f5 | 0798277f2706998ab80442ac931579eb47f676e5 | /bin/metric-markdown | ed615b4e0809a60c37d486fe5df8f258f20d47d9 | [
"Apache-2.0"
] | permissive | isabella232/pulse-api-cli | 49ed38b0694ab289802f69ee6df4911cf3378e3f | b01ca65b442eed19faac309c9d62bbc3cb2c098f | refs/heads/master | 2023-03-18T00:23:15.295727 | 2016-05-13T15:44:08 | 2016-05-13T15:44:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 817 | #!/usr/bin/env python
#
# Copyright 2015 BMC Software, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | [
"davidg@boundary.com"
] | davidg@boundary.com | |
9907349705be2a4fdbc48e95c52054b00ad85246 | 4efcfcaec6cc956d15a1ae966905911809c4de18 | /Supervised Deep Learning/Artificial Neural Networks (ANN)/artificial_neural_network.py | 72ded64f7630ebf2867544dae348d8c8a1fe4aa0 | [
"BSD-3-Clause"
] | permissive | Nikhil-Xavier-DS/Deep-Learning-Algorithms-KERAS | 9aa54eebaf688d83efa13767dd0e378339774e9c | 7bbda3b1495d2e377abef2938c193afd34d95038 | refs/heads/master | 2020-03-28T09:00:22.535353 | 2018-09-09T08:30:32 | 2018-09-09T08:30:32 | 148,006,476 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,994 | py | # Artificial Neural Network
# Import libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Import Dataset
dataset = pd.read_csv('Churn_Modelling.csv')
X = dataset.iloc[:,3: 13].values
y = dataset.iloc[:,13].values
# Encoding categorical data
from sklearn.preprocessing i... | [
"nikhilxavier@yahoo.com"
] | nikhilxavier@yahoo.com |
68ed6146980626889998a60eed343f5932d5d1a2 | 7e792f54abea89609fcc1317dbbc6b50012c56ec | /main.py | a360c9b3b6cb6ff0e81fd6148244159ed17ed374 | [] | no_license | sylvanusm/Bert-abstractive-summarisation | 067ba2a53ae8a2d5e99f5024c77f29b52eadd39d | 4e56bf0b2188b9684f4b1c2d59e60c5f6b8c090e | refs/heads/main | 2023-06-07T17:19:47.812248 | 2021-06-26T10:28:52 | 2021-06-26T10:28:52 | 380,363,935 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,647 | py | from model.transformer import Summarizer
from model.common_layer import evaluate
from utils import config
import torch
import wandb
import torch.nn as nn
import torch.nn.functional as F
from tqdm import tqdm
import os
import time
import numpy as np
from utils.data import get_dataloaders, InputExample, InputFeatures
... | [
"sylvanusmahe@Sylvanuss-MacBook-Pro.local"
] | sylvanusmahe@Sylvanuss-MacBook-Pro.local |
db3d9f7ffa0daf93dc6ef9d1b818888be5ac8e5d | 93afa6da4a41e6346079cf437aa11fe27ae84d93 | /venv/bin/easy_install | c86211b025ea693cb90960dd17d613e34059f37e | [] | no_license | alexbatashev/rungekutta | 20695e3d0706b7cfde2f7b4c0150e74122b4a6d5 | 7c71228b6bbbeebe0771b45e4d85c342f2d2fdd7 | refs/heads/master | 2020-05-05T06:56:03.982750 | 2019-04-07T08:29:28 | 2019-04-07T08:29:28 | 179,806,651 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 454 | #!/Users/aleksandrbatasev/PycharmProjects/rungekutta/venv/bin/python
# EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==39.1.0','console_scripts','easy_install'
__requires__ = 'setuptools==39.1.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw... | [
"alexbatashev@outlook.com"
] | alexbatashev@outlook.com | |
a5a6c17c95ae1931b035e24219e5c6d151e18e6e | 249cbea53ddfda9cd66486eb197dec8957ab2358 | /python/paddle/fluid/contrib/slim/quantization/imperative/qat.py | c5ee9ea6751003c19ef5b43f1af0f09093bded89 | [
"Apache-2.0"
] | permissive | Yelrose/Paddle | 107df9433cad73d88227674deda29c6fa2115730 | c670503220cf8df898f3195d81debde7dcc22ad1 | refs/heads/develop | 2023-04-08T19:18:29.498548 | 2021-03-24T12:11:41 | 2021-03-24T12:11:41 | 185,934,762 | 1 | 0 | Apache-2.0 | 2021-12-15T06:36:37 | 2019-05-10T06:52:58 | Python | UTF-8 | Python | false | false | 23,992 | py | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | [
"noreply@github.com"
] | noreply@github.com |
f898a507fb5c8d1476d837dc594f7b5fa3b68cd6 | b80b3b82bb1f4c4019e56bf6eed859d9e1ec024b | /python/tolower.py | 4b443cc2001eef828e7353d23079405cbb61b962 | [] | no_license | NotaCSstudent/leetcode | be484537f20302557411ed0a2d653703b4c86abe | 13c3fc89e492209f70fcb8e7756c8553f5736a1e | refs/heads/main | 2023-06-08T22:59:41.680890 | 2021-06-20T13:37:46 | 2021-06-20T13:37:46 | 372,983,624 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 106 | py | class Solution:
def toLowerCase(self, s: str) -> str:
s = s.lower()
return s
| [
"noreply@github.com"
] | noreply@github.com |
95d38eb622dd57ea6cf2bba55e5202edeb6e0e3b | 43ff15a7989576712d0e51f0ed32e3a4510273c0 | /tools/pocs/bugscan/exp_679.py | 798104fb95f83ba1ff04752dfd711df064cc3623 | [] | no_license | v1cker/kekescan | f2b51d91a9d6496e2cdc767eb6a600171f513449 | 3daa1775648439ba9e0003a376f90b601820290e | refs/heads/master | 2020-09-19T16:26:56.522453 | 2017-06-15T02:55:24 | 2017-06-15T02:55:24 | 94,495,007 | 6 | 3 | null | null | null | null | UTF-8 | Python | false | false | 1,954 | py | # -*- coding: utf-8 -*-
from dummy import *
from miniCurl import Curl
curl = Curl()
# !/usr/bin/dev python
# -*- coding:utf-8 -*-
"""
reference:
http://www.wooyun.org/bugs/wooyun-2015-0104157
http://www.beebeeto.com/pdb/poc-2015-0086/
"""
import re
import urllib
import urllib2
import base64
import r... | [
"liyueke@huobi.com"
] | liyueke@huobi.com |
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