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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4ae423e54fe7f9893974aaa192a2e75055429728 | e1d74c93e705f265ab90d967804dc6b88f716fe5 | /ecg_detection/ecg.py | 7685de29c6744944defec0b67c9b84d19fd537d2 | [] | no_license | pollytur/ECG | 3156f970cfbb0ecb9a3250a5e903cce010db807d | 3925302259b677da0504bb8c976d0e4b90155222 | refs/heads/master | 2021-03-15T13:48:44.179218 | 2020-08-05T15:43:20 | 2020-08-05T15:43:20 | 246,854,955 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,635 | py | import pandas as pd
import numpy as np
import pywt
import os
from scipy.signal import find_peaks
import matplotlib.pyplot as plt
from scipy.signal import butter
from scipy.signal import filtfilt
from statistics import mean, variance
fs = 512
lcf = 0.05
hcf = 100
# path='/Users/polinaturiseva/Downloads/mammals_dataset... | [
"p.turischeva@innopolis.university"
] | p.turischeva@innopolis.university |
ea2e5ce585d31cc249c0c042569d14ec34135014 | d00fb82a5d589880c2d20c778e4b56c5b11e83d1 | /dcekit/optimization/iot.py | 8157ea211d230e3827aceb889b8a6ab2a8de1f18 | [
"MIT"
] | permissive | shinyama74/dcekit | e798c0ce417234753842a45289bdfbfe1238ed17 | f1393fa11532e9dd361dd320d8870732660f8446 | refs/heads/master | 2023-03-03T07:42:37.177853 | 2021-02-13T21:02:49 | 2021-02-13T21:02:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,116 | py | # -*- coding: utf-8 -*-
"""
@author: Hiromasa Kaneko
"""
import numpy as np
from scipy.optimize import minimize, LinearConstraint
def iot_obj_func(mol_fracs, x_mix, x_pure):
"""
Objective function of Iterative Optimization Technology (IOT)
Parameters
----------
x_mix : numpy.array or pandas.D... | [
"hkaneko@meiji.ac.jp"
] | hkaneko@meiji.ac.jp |
9488d6f82af89e6350f8e311867f201ac9056640 | 06d882216885b4cc82ef131afc27baa8a797537a | /food_api/zomato_api/restaurant_url.py | f3399ee659e6f39d9d23973d5b8cccebc3ea0faa | [] | no_license | bopopescu/restaurant_data_crawler | 7de91844ae51b71b1c64af57cf82067f28996940 | dd14839cabd114ab22c86eff15428143a310da5f | refs/heads/master | 2022-11-06T21:52:22.941089 | 2017-10-09T12:10:41 | 2017-10-09T12:10:41 | 282,031,811 | 0 | 0 | null | 2020-07-23T18:54:44 | 2020-07-23T18:54:43 | null | UTF-8 | Python | false | false | 3,633 | py | from bs4 import BeautifulSoup
from urllib2 import Request, urlopen, URLError
import re
from errorhandler import typec
from re import search
from re import sub
import json
def crawlRestaurants(restaurant_url):
try:
menu_url = []
restaurant_menu_url_with_unicode = restaurant_url + "/menu#food"
restaurant_menu_url... | [
"nitesh.surtani0606@gmail.com"
] | nitesh.surtani0606@gmail.com |
681649f3c55738cbffaa23f54af9ba82ef948b89 | c57ffbf0e3405eb87bddf96cfc6bb09fa096aa49 | /Galaxy_Postgres_Nginx_CVMFS_slurm/ephemeris_venv/bin/route53 | 6388606594a543c28946022388b62aa343f73567 | [] | no_license | BU-ISCIII/AnsibleRecipes | 33946ef689c03350141266f1c7a8d7d3d4ddfdad | b9fe5a870d404b5dab22bcfa37405c4e4bd0861b | refs/heads/master | 2021-02-18T07:55:11.667669 | 2020-03-30T08:22:31 | 2020-03-30T08:22:31 | 245,175,993 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,089 | #!/home/mjuliam/Galaxy_Postgres_Nginx_CVMFS_slurm/ephemeris_venv/bin/python
# Author: Chris Moyer
#
# route53 is similar to sdbadmin for Route53, it's a simple
# console utility to perform the most frequent tasks with Route53
#
# Example usage. Use route53 get after each command to see how the
# zone changes.
#
# Add ... | [
"migueljuliamolina@gmail.com"
] | migueljuliamolina@gmail.com | |
42f644ceaadd904c56b54ef3285f26219aac3134 | 597c9c0f8aab1dd7514088920759caf61762ed4f | /scripts/test_slam_with_webcam.py | af99f0f1bac23b59d8d6419425ba340ec3236150 | [
"MIT"
] | permissive | BOpermanis/pyORBSLAM2 | 7f86d214ad989f460eee259756df115c214d9ee3 | ff7c303bc6d2023fc3c22090e6af048072cce90b | refs/heads/master | 2021-06-24T06:21:06.125320 | 2021-05-07T15:42:03 | 2021-05-07T15:42:03 | 225,214,792 | 0 | 0 | MIT | 2019-12-01T19:11:35 | 2019-12-01T19:11:35 | null | UTF-8 | Python | false | false | 1,414 | py | import cv2
import numpy as np
import sys
# sys.path.insert(0, "/slamdoom/tmp/orbslam2/include/build/")
import ORBSLAM2 as os2
from time import time, sleep
import pickle
from gridmap import to_gridmap, DisplayMap
def test_SLAM_init():
# "/slamdoom/libs/orbslam2/Vocabulary/ORBvoc.txt"
# "/slamdoom/libs/orbslam2... | [
"slamdoom@slam.doom"
] | slamdoom@slam.doom |
4ec14ad7b2a357d38aaeda8a9712d81886578398 | c4cd6329231b19a3a214c22bd0c9968ba5e2fbb6 | /common/migrations/0001_initial.py | e64afe03077ad3aa91c6a742d2867212b6679805 | [] | no_license | andersonsouza/ptaas | 87998e012f6f616f04d6caedfc18f53b561257ab | f74cb1d0d9db259ceb9cbf3630650edb9079915a | refs/heads/develop | 2020-12-07T02:34:36.223679 | 2017-08-01T02:44:30 | 2017-08-01T02:44:30 | 95,488,189 | 0 | 1 | null | 2017-08-01T02:46:06 | 2017-06-26T20:47:54 | JavaScript | UTF-8 | Python | false | false | 644 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations
from django.contrib.auth.hashers import make_password
def initial_setup_user(apps, schema_editor):
User = apps.get_registered_model('auth', 'User')
admin = User(
username='admin',
email='admin@l... | [
"anderson.kcond@gmail.com"
] | anderson.kcond@gmail.com |
77007c1c919ffc67963fee14634b26ee9856e131 | a1bffb2795728a6369c4447ca58e9a60620a1e7d | /intro/matplotlib/examples/plot_aliased.py | 91281736e7c3d601518f28e84fe5b8b6f7ae0e36 | [
"CC-BY-4.0",
"CC-BY-3.0"
] | permissive | imieza/scipy-lecture-notes | 03a4e0615f4fc4fdea3583d9557742fc1798ba65 | 74c8b7b491ceae0ce5be1745497b7adc0bad1406 | refs/heads/master | 2021-01-16T20:30:57.735341 | 2015-09-21T17:28:35 | 2015-09-21T17:28:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 493 | py | """
Aliased versus anti-aliased
=============================
This example demonstrates aliased versus anti-aliased text.
"""
import pylab as pl
size = 128, 16
dpi = 72.0
figsize= size[0] / float(dpi), size[1] / float(dpi)
fig = pl.figure(figsize=figsize, dpi=dpi)
fig.patch.set_alpha(0)
pl.axes([0, 0, 1, 1], frameo... | [
"gael.varoquaux@normalesup.org"
] | gael.varoquaux@normalesup.org |
d3f4f28a07d725a745058165f9fa71a5072d5e6b | c8b095adbbea29211d699f4113a91bc89fa54493 | /jury/models.py | d1b52c51d89d1786c9bd0a9c7582d0bfc7f37143 | [
"MIT"
] | permissive | maribedran/speakerfight | 9e554e7ea557c5bc44aafb616e46f0878fe8e2d5 | 26e3e70e1d06ec0be004a9b1598c2b55f9823a7d | refs/heads/master | 2021-07-18T04:13:18.974661 | 2017-10-19T17:46:36 | 2017-10-19T17:46:36 | 106,606,011 | 2 | 0 | null | 2017-10-11T20:29:57 | 2017-10-11T20:29:55 | Python | UTF-8 | Python | false | false | 371 | py | from django.utils.translation import ugettext as _
from django.db import models
from django.conf import settings
class Jury(models.Model):
# relations
users = models.ManyToManyField(to=settings.AUTH_USER_MODEL,
related_name='juries')
class Meta:
verbose_name = _... | [
"luanfonceca@gmail.com"
] | luanfonceca@gmail.com |
4050bb856c264b490d58cbf10dc821091d2c5c7c | 3e4605fac38fcf581297f2d716bb4fcf5684e0f7 | /app/main/controller/control.py | 4064589f455351800109c29e769614a5dfd338ac | [] | no_license | drhuongsp/table_info | 0de4ac06a908357d5956be9974f69e3409f0a9e8 | 50a987d9a220ca9db7b212a742e74d1841468834 | refs/heads/master | 2023-07-21T11:27:08.241643 | 2021-09-03T07:31:29 | 2021-09-03T07:31:29 | 402,106,127 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 696 | py | import os
from flask import Flask, send_file, render_template
import pymongo
from app import app
from datetime import date
import csv
import re
'''
Đầu vào: Dữ liệu các mã cổ phiếu.
Đầu ra: Các file excell được download trực tiếp từ website ứng với từng mã"
'''
myclient = pymongo.MongoClient("mongodb+srv://ducthangbnn:... | [
"ducthangbnn@gmail.com"
] | ducthangbnn@gmail.com |
bde24f32962bc7daa1d653fc2bfc6b034f25a563 | 4f972877da14226125440b3da9bdb058764d8a54 | /pythonDemo/argparseOpt/add_arg.py | e43e60028c712b282fd0fa4373dee4ad04ff9d48 | [] | no_license | ZhiYinZhang/study | 16c29990cb371e7e278c437aa0abc7c348614063 | 8c085310b4f65e36f2d84d0acda4ca257b7389af | refs/heads/master | 2021-07-09T16:05:02.925343 | 2020-06-30T07:53:05 | 2020-06-30T07:53:05 | 153,767,096 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,403 | py | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
# datetime:2020/5/18 14:51
import argparse
if __name__=="__main__":
parser=argparse.ArgumentParser(description="在参数帮助文档之前显示的文本")
#参数需要使用--b或-b
parser.add_argument("--by","-b", #参数变量，‘-’表示缩写
action="store", #将命令行参数与action相关联，默认st... | [
"2454099127@qq.com"
] | 2454099127@qq.com |
958ac63cbf4a149a2d0dac3fed9f2a04591c3689 | a974ab24cf396c68e2072a194f86dd16e867e23e | /finalaDict.py | 0bd2c8d7d5350ebc4112e742245c2bfd940b859b | [] | no_license | archanasheshadri/Python-coding-practice | e21161991c8fb1f45cf4903b098da05f15ca4fd8 | e9f6d6f9cddb63825d82a2322bb8dcf166a60239 | refs/heads/master | 2021-01-24T03:11:59.301623 | 2018-02-25T21:49:57 | 2018-02-25T21:49:57 | 122,879,824 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 945 | py | def uniqueValues(aDict):
'''
aDict: a dictionary
returns: a sorted list of keys that map to unique aDict values, empty list if none
'''
result = []
if aDict.keys() != []:
values = aDict.values()
uniqueValue = []
values.sort()
temp = values[0]
count = 0
... | [
"archanasheshadri@gmail.com"
] | archanasheshadri@gmail.com |
f87c504d146164de3ed512fea4d780a3594f6923 | c2e4ea166b46f962d2771968642d5779183c78fb | /mtgame.py | 51d151b74133a00aff00b9710ef99d9e249b691e | [] | no_license | Twist-Flex/kwart | 344d54a2ff942d1eb78c8c0c0ad897387e2cb96d | 74b971ca63548122052ec73faef2f36e08122f77 | refs/heads/master | 2021-01-19T12:13:01.171127 | 2017-02-17T12:42:56 | 2017-02-17T12:42:56 | 82,296,370 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,970 | py | import random
print("Чать бот SimulatorAl. Текст пиши маленькими буквами!!!! И без занков препинания!")
privet = {
"привет":[" Салам!", " Привет!", " Хай!"],
"как дела?":[" Нормально"," Плохо"," Как всегда"," Тебе какая разница?","Показать тебе мою силу???"],
"что делаешь?":[" алкашню"," черти что"," не че"," Т... | [
"noreply@github.com"
] | Twist-Flex.noreply@github.com |
df317995d729b1f1867618fd6d28b33ded828d4d | a1c4a197470f2b382aefcd2c0886d60234c4e29d | /data/dataset.py | 7406c6f37d8d62923044450e42f2919d9cff56fa | [] | no_license | luoyi9340/letter_discriminator | f91aa9d791a97d2b2f443c7d2631a05790273a48 | 7c813e40bd9c6b4b181368d524cdb78c52a6c698 | refs/heads/master | 2023-03-09T07:15:57.081805 | 2021-02-20T19:22:43 | 2021-02-20T19:22:43 | 324,271,564 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,068 | py | # -*- coding: utf-8 -*-
'''
手写字母数据集数据集
一共26（小写） + 26（大写） = 52个字母
Created on 2020年12月15日
@author: irenebritney
'''
import tensorflow as tf
import json
import matplotlib.pyplot as plot
import numpy as np
# 配置文件
from utils.Conf import LETTER, TRAIN
# 日志信息
from utils import LoggerFactory
from utils.Alphabet ... | [
"irenebritney@192.168.31.84"
] | irenebritney@192.168.31.84 |
b0e00c22ffb48e5979a2017cc88ab86b294c7b85 | c5ecf74984e217946d94bb3783731d03d40ab84c | /Cal.py | 78f1702e4c3311056525204d4dc4abcca5a4e512 | [] | no_license | kiran260790/python_basic_scripting | 02eabc021a0106cef79b4025189c4ee1b5cba11f | b2aa3c9f31497a5b001bfa982148bc114cb7df13 | refs/heads/master | 2023-08-04T01:22:47.786472 | 2023-07-25T05:04:02 | 2023-07-25T05:32:42 | 152,293,239 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 357 | py | class calculator:
def __init__(self,num1,num2):
self.num1 = num1
self.num2 = num2
def addition(self):
return self.num1+self.num2
def subtraction(self):
return self.num1-self.num2
def multiplication(self):
return self.num1*self.num2
def division(self):
... | [
"kiranssgowda333@gmail.com"
] | kiranssgowda333@gmail.com |
2e12956584609483d216fc9a64b372968df150c6 | eb123c1a74e39685ab6eef29af0af2c1356dfaf5 | /python/Strings Mix.py | 3db5a0965307d3cd791eb7ca312e01081845ebd3 | [] | no_license | zenuie/codewars | 9bada9d3c20c4b2b4b8321c784d2494bfe25689f | 38ea9e8a0c97ed15c8959c073752fcfd098387ac | refs/heads/master | 2021-11-30T01:43:51.590392 | 2021-11-29T06:31:58 | 2021-11-29T06:31:58 | 180,733,484 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,511 | py | import re
def mix(s1, s2):
result = []
check_alp = '[a-z]' # 正則
s1 = re.findall(check_alp, s1) # 小寫無重複
s2 = re.findall(check_alp, s2)
if s1 == s2:
return ''
dict_1 = dictS1(s1) # 排出字典
dict_2 = dictS2(s2)
dict_1 = sorted(dict_1.items(), key=lambda x: (-x[1], x[0])) # 字典值大的排前... | [
"30676398+zenuie@users.noreply.github.com"
] | 30676398+zenuie@users.noreply.github.com |
a3e6ce679b7b6173c7cb9365142a5f5abcb8693c | 50fda37ac3890182da78d28d5fb18aa2a75f5f40 | /informatyka próbna 2020/41.py | 5ae8e1a43eb41ecebfed818f3324e97924cc2ffe | [] | no_license | qattiel/Arkusze_informatyka_Python | dee95aa4953aef49080951cb5fd6465b72972c4f | 7c95a5872461cf56996d98a87ff12747ce201c51 | refs/heads/main | 2023-05-27T22:50:11.198207 | 2021-06-11T07:21:56 | 2021-06-11T07:21:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 324 | py | dane = ""
with open("dane4.txt", "r") as plik:
dane=plik.read()
dane=dane.split("\n")
luki = []
element = int(dane[0])
for x in range(1, len(dane)-1):
buff = int(dane[x])
luka = abs(element-buff)
element=buff
luki.append(luka)
print(min(luki))
print(max(luki))
#for x in luki:
# prin... | [
"noreply@github.com"
] | qattiel.noreply@github.com |
bbbb771d57dfb818066a3c9c3cbcbd8916123256 | 00a664422196910f02b379c94af2229e06143961 | /Versuch 1/clusters2GoogleMaps.py | b731e0025b26c6adcedb9357f502cb2df71723e1 | [] | no_license | lumaxis/DataMining | 96154a4fd760483243f0a4704bdf7ec23f4afd49 | bbc47e8a4af63afc25e9112f6d9787c5bb1d812d | refs/heads/master | 2020-06-03T10:18:27.459841 | 2013-12-19T13:02:42 | 2013-12-19T13:02:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,848 | py | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 29 19:16:07 2013
@author: mathis
"""
import pandas
from pymaps import Map, PyMap, Icon
# import data
data = pandas.read_csv('EnergyMixGeoClustered.csv', index_col=0)
# prepare map
tmap = Map()
tmap.zoom = 2
# prepare icons
iconRed = Icon('iconRed')
iconRed.image = "ht... | [
"mathis@hoffpost.de"
] | mathis@hoffpost.de |
efe3f5a18b22d52c8744060a47788ebb86d50b5d | c94e4451daf83a143205d9ff1d1eb9a8411cad66 | /baselines/models.py | 8bc503573860ba03e27e5cb3a94fc48009c2b1a6 | [
"MIT"
] | permissive | visionshao/TerminologyExtraction | dd5dd447e59e5ed734ac13e0ffc52b4ab633ff7e | ff23d7794e8bbfbc6c576fd5d46b37b40a652b67 | refs/heads/main | 2023-03-20T21:06:52.162720 | 2021-03-03T11:57:59 | 2021-03-03T11:57:59 | 344,106,132 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,023 | py | def rule_extraction(pos_sentence):
result_list = []
temp_result = []
for i, (word, pos) in enumerate(pos_sentence):
if pos[0] == "N":
if len(temp_result) == 0:
temp_result.append(word)
else:
if pos_sentence[i-1] == "N":
... | [
"noreply@github.com"
] | visionshao.noreply@github.com |
2bcc2bfda06ed166390fe0168d90ebc217e3f515 | f2dddfc8645da74606ce6c4156ea1c552ea98f48 | /menu/migrations/0001_initial.py | ec14e9b5abcf77e9e4417a6e6515f604f1477277 | [] | no_license | Rahul2802agarwal/rahul-28 | a5bb0e2c8d964f18da9f47e21e819efad5bcb6b7 | 74d8f562d8359796bc22eb7256e1b0fcb1483492 | refs/heads/master | 2022-11-29T07:11:25.573154 | 2020-08-09T04:39:01 | 2020-08-09T04:39:01 | 282,375,240 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,106 | py | # Generated by Django 3.0.8 on 2020-07-16 03:39
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Customer',
fields=[
... | [
"rahul2802agarwal@gmail.com"
] | rahul2802agarwal@gmail.com |
f04c44f3b9373ead505307d3d465a8862a926482 | d541422113225e372b2d645fb1e8731b24d12d75 | /hello_name.py | 86c938b89f7a20f62469916e2fcd9bdfa3724004 | [] | no_license | vdpham326/Python_Coding_Exercises | 8c1d5d4cd87f57b94600138649dc865dc9282be3 | 9efd64b24671df1c56ccfac50582d6fd71bc14fc | refs/heads/master | 2022-11-10T09:56:36.252673 | 2020-06-26T09:36:47 | 2020-06-26T09:36:47 | 274,311,562 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 212 | py | # Given a string name, e.g. "Bob", return a greeting of the form "Hello Bob!".
def hello_name(name):
return "Hello " + name + '!'
print(hello_name('Bob'))
print(hello_name('Alice'))
print(hello_name('X'))
| [
"vdpham326@gmail.com"
] | vdpham326@gmail.com |
4d8bbd6906f8bf3c8e206e8a0445d7520084e449 | cea41f28b1be6a44043d09fe1990c621b1e2ac15 | /Aula 15/ex068.py | 1b55c8db63bb4b125aa11032169e0cbbbe19631f | [] | no_license | sandymnascimento/Curso-de-Python | 9fa91c447b2d271c216d69af4ac3501613d429f8 | 95aa353a3c4801a6cdbc42639bc32b28cb91315a | refs/heads/master | 2023-04-25T03:52:07.645109 | 2021-05-09T17:27:26 | 2021-05-09T17:27:26 | 353,838,613 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 962 | py | from random import randint
print('\033[1;34m* ' * 20)
print(' '* 5, 'Vamos jogar PAR ou ÍMPAR?')
print('\033[1;34m* \033[m' * 20)
cont = 0
while True:
user = input('Você escolhe PAR ou IMPAR? ').strip().lower()[0]
numuser = int(input('Digite um valor: '))
numpc = randint(0, 10)
print(f'Você escolheu {nu... | [
"sandymnascimento@outlook.com"
] | sandymnascimento@outlook.com |
b3a045a004cc3bffc590d6b0196b26d6b5724efd | 3a66cdcf904fa317ea6cd590effab1a6136e2ec0 | /Calculator/calculator.py | 326ad42a13f119b0335fe970519a13f1a81e9f16 | [] | no_license | Ronjaek/TDT4113-Programming-Project | 471c0127a3ff7519d029f21b6571b02cb506c02f | eea151adcb00db12892b8b27fc6f0163bc4a6a31 | refs/heads/master | 2022-12-14T13:21:50.114141 | 2020-09-03T17:11:51 | 2020-09-03T17:11:51 | 292,629,795 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,179 | py | """Hovedklassen i programmet"""
import numpy
import numbers
import re
from function import Function
from operator_ import Operator
from queue import Queue
from stack import Stack
class Calculator:
def __init__(self):
"""gir kalkulatoren tilgang til regneartene og funksjonene"""
# definerer funks... | [
"ronjaek@Ronjas-MacBook-Pro.local"
] | ronjaek@Ronjas-MacBook-Pro.local |
c9d4f38b7f97483e88d2feaec9671b65a0303653 | 72663667c62dc849b4f4bb773ae011b40fd7d777 | /VoteOCR/bin/django-admin | 9d044211d2b22b3fdb73c19c1e7820cd7f04a891 | [] | no_license | neilgiri/VoteOCR | 415527bff7fa29203489e2880f57d77b3cebcf82 | a85d97f960d0640e11675d499a9c72a311d866bd | refs/heads/master | 2020-08-03T16:44:20.675192 | 2018-01-13T04:31:11 | 2018-01-13T04:31:11 | 73,542,931 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 311 | #!/home/rlund/Documents/CalHacks3.0/VoteOCR/VoteOCR/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from django.core.management import execute_from_command_line
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(execute_from_command_line())
| [
"ryan.lund@berkeley.edu"
] | ryan.lund@berkeley.edu | |
3ec0749c8b2c8d3d54cf97e11f641dfbced8701d | 6a9b9d2e6f811423ab411c83952b9a2ff69b3471 | /code_snippets/process_data.py | 615cf89eb5b96d9598182b2c793997e5496130fb | [] | no_license | thebeancounter/flask_keras_train_and_prediction | 017848e70bc03cac66143d94d3b18a174b786534 | 55e4b488fe30f98824187dd75c72c915cf50aa34 | refs/heads/master | 2020-03-27T13:20:40.308695 | 2018-11-06T14:26:28 | 2018-11-06T14:26:28 | 146,603,687 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 394 | py | from keras.datasets import mnist
import keras
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train = x_train.reshape(60000, 784)
x_test = x_test.reshape(10000, 784)
x_train = x_train.astype('float32')
x_test = x_test.astype('float32')
x_train /= 255
x_test /= 255
y_train = keras.utils.to_categorical(y_trai... | [
"shai2go@gmail.com"
] | shai2go@gmail.com |
8d551813a916a1c05fba0afca7bf63e06802bd88 | 72f43041a2645c10295b2e9c17d72274ddf765ef | /src/test/test_benchmarks.py | 7b70d82b518ec30458cbddb7017d3e0057be845f | [
"MIT",
"BSD-3-Clause"
] | permissive | zhaowill/stata-gtools | 85918134c741a32b534786e57208f7640dc181cd | 6409f703a265aa28ee32da9989a276188e83f46e | refs/heads/master | 2020-05-17T23:33:53.840993 | 2019-04-04T16:45:54 | 2019-04-04T16:45:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 138 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# import matplotlib.pyplot as plt
# import pandas as pd
# import numpy as np
# import json
| [
"mauricio.caceres.bravo@gmail.com"
] | mauricio.caceres.bravo@gmail.com |
c9d9e59cfb1c0b5c982676b2b0e139cae6120010 | 618bb00f2e647b58ed69295f1d6fd869eab35525 | /preprocess_imgs.py | 0954091fd29b4410558dcec114946d382f3f3ca9 | [] | no_license | hbata/tourstic | a7d807006b0551ce76a64daaf9079eecda254436 | b0bba3c5cbca5debd1c4ca6b06b46151508decd7 | refs/heads/master | 2020-04-09T23:56:18.137971 | 2018-12-06T13:39:01 | 2018-12-06T13:39:01 | 160,670,988 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,896 | py | import numpy as np
import cv2
import PIL
from PIL import Image
import os
from multiprocessing.pool import Pool
def rename_imgs():
data_dir = 'dataset'
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
folders = [f for f in os.listdir(data_dir) if os.path.isdir(data_dir) and f.endswith('h') or f.endswi... | [
"hesham.bataineh@aiesec.net"
] | hesham.bataineh@aiesec.net |
5a2b4bbabd37932501967bb4af06485dc2806f52 | 47c1e2069f6f4a68216afcf0e8a0249aa15bc9dc | /minidlnaindicator/constants.py | 65599585827df5c4071a9431f044a71fd69a53b3 | [] | no_license | okelet/minidlnaindicator | 9d154918393b6236ba76c4a147e56d501712797d | e83a85765efcdeb8492251878fa053521d662672 | refs/heads/master | 2022-05-04T07:16:09.138239 | 2022-04-27T14:28:32 | 2022-04-27T14:28:32 | 59,846,889 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,776 | py |
from typing import Dict, Any
import logging
import os
import re
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
LOCALE_DIR = os.path.join(BASE_DIR, "locale")
APPINDICATOR_ID = 'minidlnaindicator'
APP_DBUS_PATH = "/com/github/okelet/minidlnaindicator"
APP_DBUS_DOMAIN = APP_DBUS_PATH
APP_DBUS_DOMAIN = re.sub(... | [
"okelet@gmail.com"
] | okelet@gmail.com |
327cab1f61b7fc63a691fa1106537977cd19c625 | e273ac58c34f6a0fba8360aef75f52a7ef03d5bb | /ansiblemetrics/playbook/num_unique_names.py | 86e83089e546f11c6247dd51d9b902c4e8b68bfe | [
"Apache-2.0"
] | permissive | valeriapontillo/radon-ansible-metrics | e25b6c848fd40eb4b5802f540a6fd1ad20a77ce4 | 8a8e27d9b54fc1578d00526c8663184a2e686cb2 | refs/heads/master | 2023-09-06T06:21:43.417616 | 2021-11-04T14:28:04 | 2021-11-04T14:28:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,760 | py | import re
from collections import Counter
from ansiblemetrics.ansible_metric import AnsibleMetric
from ansiblemetrics.utils import key_value_list
class NumUniqueNames(AnsibleMetric):
""" This class measures the number of plays and tasks with unique a name.
"""
def count(self):
"""Return the numbe... | [
"stefano.dallapalma0@gmail.com"
] | stefano.dallapalma0@gmail.com |
4b07fb305ff28845f8393a96c6bf69fafb122469 | d5b526977adfce0ac21588598a61d0fabbd6ed48 | /tkinterBasic.py | 555ee324d4a6d9c89c44116dd5132240a671f8bd | [
"MIT"
] | permissive | anishmo99/Python-Functionality | b001cdd40828fc0b6879d34ad057dab3524de933 | 91e963609b0ce600d0c46073748611ecbab61dae | refs/heads/master | 2022-12-15T18:46:47.534669 | 2020-09-10T07:14:13 | 2020-09-10T07:14:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 63 | py | import tkinter as tk
m=tk.Tk()
m.title('hi anish')
m.mainloop() | [
"ani10sh@gmail.com"
] | ani10sh@gmail.com |
e9ba71831df58fe8207554f2e696a50742e9640a | 20c81ad33259a381080d0a03c72894fea79fa374 | /ClassLabs/Lab8/Python_Lab8_Home.py | bb733d069074b6f6f45bbfe36ea1bd0d936ee049 | [] | no_license | Verbs2004/Python-Programming-In-Context | c9985c59ad6ea2919ad9f5c0f5d343ee61342347 | 5aa5e571c62e070004190b09b85bd9d2628ec3bf | refs/heads/master | 2021-01-23T14:39:57.094228 | 2013-07-15T14:59:41 | 2013-07-15T14:59:41 | 102,695,111 | 1 | 0 | null | 2017-09-07T05:28:45 | 2017-09-07T05:28:45 | null | UTF-8 | Python | false | false | 2,217 | py | # 1: Write a function that takes a single character digit and returns
# its integer value. For example, if the function name is intval, intval('9')
# will return 9(the integer 9, not string '9')
def intval(i):
i = int(i)
return i
# 2: Write the letterToIndex function using ord and chr. letterToIndex is
# ... | [
"thyrusg@thyrusgorges.com"
] | thyrusg@thyrusgorges.com |
748b5d931eb15cc7bc4633096be19fd44f691168 | 454c29a8fec880afdc6841b5468aeb89b5f3051c | /project1/urls.py | d0b226636a6d16e748de50d2c4897bdee8ac3437 | [] | no_license | gauravhans8/Lawyered | 24bf5710d5f5b4d89b71c386203c07c06d078431 | 70ee812b1f4887a0cf4b5fb68186ae474758b9a4 | refs/heads/master | 2021-01-11T03:57:02.993476 | 2016-10-18T06:05:43 | 2016-10-18T06:05:43 | 71,244,215 | 1 | 0 | null | 2016-10-18T12:08:26 | 2016-10-18T12:08:26 | null | UTF-8 | Python | false | false | 578 | py | from django.conf.urls import include, url
from django.contrib import admin
from django.contrib.auth import views
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
# Examples:
# url(r'^$', 'project1.views.home', name='home'),
url(r'^lawyered/', include('lawyered.urls... | [
"kratigyarastogi0705@gmail.com"
] | kratigyarastogi0705@gmail.com |
b2ca28488c94f3f941e3240dbeca0d5ce18d1b19 | 5288d737d3d68e86b666be03dc62600b324a2910 | /main_app/filters.py | 23ddd9ad6fb44e369f4235f9f2c3cbc845160d64 | [] | no_license | aerastov/SkillFactory_D4 | 8b127baca51c69198e8e76d57d69f2567b5bd6c4 | 11bbc5cb936749483c27d9e4c7212270847eb7b1 | refs/heads/master | 2023-08-27T14:30:14.515050 | 2021-10-26T22:46:06 | 2021-10-26T22:46:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 436 | py | from django_filters import FilterSet # импортируем filterset, чем-то напоминающий знакомые дженерики
from .models import Post
from django_filters import DateFilter
from django import forms
class PostFilter(FilterSet):
class Meta:
model = Post
fields = {
'title': ['icontains'],
... | [
"a.erastov@gmail.com"
] | a.erastov@gmail.com |
fb4e8cc6019e4b13f7755cdb495d918f89adcf83 | d24632eb9f35ac144bee042facd9f8a596622b15 | /minimos_cuadrados_regresion_lineal.py | 7b1a2cd38d84804eb58dffdf1a9f742c001a047b | [] | no_license | fiscompunipamplona/taller-interpolacion-RobertoCuellar2019 | 02a7b24db597e3e9e2d2b3e130c07c8fcb0366be | 9129885b332f153f003682d5bfae79530565fb44 | refs/heads/master | 2020-05-23T08:34:59.891349 | 2019-05-17T03:41:15 | 2019-05-17T03:41:15 | 186,690,567 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,545 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu May 9 08:16:01 2019
@author: usuario
"""
import numpy as np
import matplotlib.pyplot as pl
from sklearn.linear_model import LinearRegression
from regresion_lineal import regresion
from time import time
###implementacion con libreria
x1 = 1e-9*np.ar... | [
"lozano.roberto.2018@gmail.com"
] | lozano.roberto.2018@gmail.com |
738f5c35424d9fc3c0c2579254d86e5fe343b5e4 | f07a42f652f46106dee4749277d41c302e2b7406 | /Data Set/bug-fixing-5/6c38443a9c1f79ebf131d120be0f36ccfbe963c6-<main>-bug.py | 191038ac35ab613322148994a91dc9df1e97b7c1 | [] | no_license | wsgan001/PyFPattern | e0fe06341cc5d51b3ad0fe29b84098d140ed54d1 | cc347e32745f99c0cd95e79a18ddacc4574d7faa | refs/heads/main | 2023-08-25T23:48:26.112133 | 2021-10-23T14:11:22 | 2021-10-23T14:11:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 885 | py | def main():
argument_spec = ec2_argument_spec()
argument_spec.update(dict(names={
'default': [],
'type': 'list',
}))
module = AnsibleModule(argument_spec=argument_spec, supports_check_mode=True)
if (not HAS_BOTO):
module.fail_json(msg='boto required for this module')
try:... | [
"dg1732004@smail.nju.edu.cn"
] | dg1732004@smail.nju.edu.cn |
8b9ad83e2464b381fd7db608eb689d5927b9c029 | cac10d84dc970078f5c4bc31f433cd5c3aa186cf | /bikeshare.py | 2c1278a32198c321ab3d0a79fdb481df82257eda | [] | no_license | sarahg/python-bikeshare-stats | 5a9ee03276c25330a978c040768e6a2e008bac8e | 77578021a58fa43560a55a5db1128d1c96513438 | refs/heads/master | 2022-10-30T13:46:09.359330 | 2020-06-15T17:39:29 | 2020-06-15T17:39:29 | 272,494,782 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,533 | py | import time
import calendar
import pandas as pd
CSV_PATH = './csvs/'
CITY_DATA = { 'chicago': 'chicago.csv',
'new york city': 'new_york_city.csv',
'washington': 'washington.csv' }
SEPARATOR = '-' * 40
def get_filters():
"""
Asks user to specify a city, month, and day to analyze.
... | [
"sgerman@pantheon.io"
] | sgerman@pantheon.io |
27243d518c4d54514aa0ed20d368f35eaf505dbd | 033fb08be4d1ebd99ff9d4a790dc5c86d82f686c | /landing_page/models.py | 5f0a4b81205b47f558357e621dd5a083c75a2954 | [] | no_license | MasoudMusa/Django-Blog-App | 8a145c68520d50d8384fd48badbebcb097c663ed | 48b8bd31608a9d3a0e65a977b7961be9ad774fa6 | refs/heads/master | 2020-04-25T18:38:32.919036 | 2019-02-27T21:14:38 | 2019-02-27T21:14:38 | 172,991,061 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 801 | py | from django.db import models
from django.conf import settings
from datetime import datetime
from django.contrib.auth.models import User
# Create your models here.
class BlogStuff(models.Model):
title = models.TextField(max_length=200)
description = models.TextField(max_length=100, default='This is the descript... | [
"mwendamusa20@gmail.com"
] | mwendamusa20@gmail.com |
c0bd9094de5b1e54fc83d99f8152fdce3ed29c0a | 4a9c10f838128a1c401b2df91a458596bdea7cca | /mysite/settings.py | d89cf373db46f9cdfea7b2856710a471d70cb679 | [] | no_license | daichimitsuzawa/djangolesson | fc587005454fa5e49f8dc6282b1d4122e7fe2463 | ea71bdb9cea13831423639b3620fd7915aba908c | refs/heads/master | 2022-09-09T02:39:58.447149 | 2020-06-01T08:46:09 | 2020-06-01T08:46:09 | 268,469,602 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,119 | py | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 2.2.12.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import os
#... | [
"mitsuzawadaichi@Daichi-no-MacBook-Air.local"
] | mitsuzawadaichi@Daichi-no-MacBook-Air.local |
89531794da9e58caea0fdbc37413f91c45f8d070 | 9ad903f3873e82c91026066e80d9fe77b02d4bc4 | /graph_generator.py | 18a3346519cb40855a90b3229342235926efc25f | [] | no_license | anirudhSK/drmt | c6fa05c6cc1def571ad7ed1b095654211a85009e | b287d31d50f371284cfb3a1f810990ae26637ae1 | refs/heads/master | 2021-04-29T09:30:02.996494 | 2017-09-10T10:13:27 | 2017-09-10T10:13:27 | 77,659,675 | 12 | 10 | null | 2017-02-24T22:45:14 | 2016-12-30T04:12:46 | Python | UTF-8 | Python | false | false | 3,461 | py | import sys
import math
import matplotlib
import importlib
matplotlib.use('Agg')
matplotlib.rcParams.update({'font.size':18})
import matplotlib.pyplot as plt
if (len(sys.argv) != 5):
print("Usage: ", sys.argv[0], " <result folder> <drmt latencies> <prmt latencies> <folder for figs>")
exit(1)
else:
result_folder = ... | [
"sk.anirudh@gmail.com"
] | sk.anirudh@gmail.com |
cdee9bbc3982ee481c0bf44afc8e682f9146e6db | 216e1d474cf04cd0a9b3cabac22bef95716e08e7 | /Intro to Python/Homework/CSC110_2_Ch04/hw_04_ex_02.py | f9125cdcaff0fefd2985cf256718f7ec7d24022a | [] | no_license | RPMeyer/intro-to-python | 9c36a97dcad39d3060f626ab5a1d789b470ba32c | d2283c8902e0699036ef3b117d272691eaf9b490 | refs/heads/master | 2020-12-03T00:06:59.087698 | 2017-08-17T16:56:01 | 2017-08-17T16:56:01 | 95,989,261 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 869 | py | # Write a program to draw this ( 5 concentric squares of decreasing size) Assume the innermost square is 20 units per side
# each successive square is 20 units bigger (size += to 20), per side, than the one inside it.
import turtle
wn = turtle.Screen()
wn.bgcolor("lightgreen")
wn.title("Alex draws a line of squares")
a... | [
"haru.haru77haruko@gmail.com"
] | haru.haru77haruko@gmail.com |
98f37383c32f1daedec53a0bb197ecf616effd71 | 96a37825fa81ba748edccc0a71b6c78f2a530503 | /wrangle_data/packages/__init__.py | 6851a907cfde581029ac137e0f8ba1be1bc95cf7 | [] | no_license | ErinMa10/gwshm-machine-learning | c0c3ed1c7c5327686b66a0581efb943aa6e10b86 | 02210564dc1a39e297d23413f313bb092c22e86c | refs/heads/master | 2022-04-22T08:20:20.375609 | 2019-02-05T19:36:31 | 2019-02-05T19:36:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 36 | py | #from .two_ray_model import RayModel | [
"dibgerge@gmail.com"
] | dibgerge@gmail.com |
4e2542ef9400252a5e53cd863018ba77e7f9302f | 8ec71b40687f2ebabc2d961c9efa2f9a6fc17666 | /src/padronelectoral/views/views_orm.py | e4138bbf85b30898696c30a1cae785b8c0673a2f | [] | no_license | luisza/Training | 37af0c17f2b97bc0a5b812469a5c47d8cd299e2c | 32b901efd0cccc618a26f34f8c1702133f5fac68 | refs/heads/master | 2020-04-15T12:34:08.270263 | 2019-02-25T23:46:11 | 2019-02-25T23:46:11 | 164,680,331 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 5,339 | py | from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator
from django.http import JsonResponse
from crpadron import settings
from django.shortcuts import render, get_object_or_404, redirect
from django.conf import settings
from padronelectoral.forms import ElectorForm
from ... | [
"miguel1796@live.com"
] | miguel1796@live.com |
80df44273e2f313dce7038b7329a31df34e2b601 | 7358fef64817a640f224f6a1b0ef22f7e4812d4b | /Materi/Materi 8 Fungsi/isGenap.py | 926f99fc36b94ff6225596af70dc71181e8fc136 | [] | no_license | bimarakajati/Dasar-Pemrograman | 8d4124701c61900c2cc41ec89be2b08c492c8541 | af5e7abf122b8b151625504ac6739ab98996fb7f | refs/heads/master | 2023-08-24T19:32:00.591820 | 2021-10-13T20:10:12 | 2021-10-13T20:10:12 | 302,336,101 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 238 | py | def is_Genap(i):
"""
diberikan suatu bilangan i dengan tipe
integer untuk mengecek apakah bilangan
tersebut bilangan genap atau bukan
"""
print('keterangan didalam fungsi is_Genap')
return i%2 == 0
is_Genap(4) | [
"bimandugal@gmail.com"
] | bimandugal@gmail.com |
7e8e0c92157894f81c595a9d31c7422fe1804de2 | b80130d763793ee3151b94530adb273ec06bdc04 | /test_synch/optimize/cplx_dream.py | cd9305a6a83f1cbb73ae4df07a71e1ed4a4fc89d | [
"MIT"
] | permissive | mgricci/am_cdbn_mirror | 18d14a354704a2f674758b52b9603a849b66b42d | 6e7539da0a550550b8510bcc84c7063fc90fc701 | refs/heads/master | 2020-04-05T04:36:56.769925 | 2019-03-05T18:04:03 | 2019-03-05T18:04:03 | 156,558,424 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,189 | py | import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
plt.ioff()
import numpy as np
import torch
from torchvision import datasets, transforms
from mnist import Net
import scipy.ndimage as nd
from torch.autograd import Variable
from test_utils import cplx_imshow
from tqdm import tqdm
import... | [
"junkyung_kim@brown.edu"
] | junkyung_kim@brown.edu |
a45a07dd66cbbfa57b6a3b8f8445747b4300de28 | 1d9e681b204e6ec2d7a710ef45b7dec082239491 | /venv/Lib/site-packages/od_python/models/inline_response_200_33.py | 2f87d5fa2b2a17141b43a2b9c133a4e168221558 | [] | no_license | 1chimaruGin/DotaAnalysis | 0e0b85805cc83e4cc491d46f7eadc014e8d6b1f1 | 6a74cde2ee400fc0dc96305203d60c5e56d7ecff | refs/heads/master | 2020-07-21T20:48:07.589295 | 2019-09-07T12:20:15 | 2019-09-07T12:20:15 | 206,972,180 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,902 | py | # coding: utf-8
"""
OpenDota API
# Introduction The OpenDota API provides Dota 2 related data including advanced match data extracted from match replays. Please keep request rate to approximately 1/s. **Begining 4/22/2018, the OpenDota API will be limited to 50,000 free calls per month.** We'll be offering a... | [
"kyitharhein18@gmail.com"
] | kyitharhein18@gmail.com |
1c517b59b04939c02b21ddefa13d2f904e19f7e0 | 9f549fbac72919299cb032bb33aa6595c8ac5789 | /hackerRank/python/set_d_r_p.py | cd6a678a7ec09b7d13de08d04a60eb833ab41922 | [] | no_license | jerilMJ/onlineCoding | 67a1fe24d79c1c681ab2cbc731444209ea02801b | 1630d9a0869e62f4725bc517e1cd834000b039da | refs/heads/master | 2020-07-19T01:05:51.447936 | 2020-01-02T06:24:20 | 2020-01-02T06:24:20 | 206,348,107 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 628 | py | ''' Solution to 'Set .discard(), .remove() & .pop()' under Python in HackerRank '''
n = int(input())
s = set(map(int, input().split()))
numOfCommands = int(input())
commands = []
skip = 0
for _ in range(numOfCommands):
command = input().split()
commands.extend(command)
for i in range(len(commands)):
if s... | [
"jeril.0ff@gmail.com"
] | jeril.0ff@gmail.com |
a6866da48739be0c4f8ee125b99b4f00db8ce727 | 90882482926884e9d1bf8db393596b9b392eb3db | /4-repetition/1-while-loop/4-len/bot.py | ca51c1f85e27e69f0df0b92bdf35c8c5544b2f77 | [] | no_license | 4mayet21/COM404 | cc2eee29433c0a5f59985ac4c02af82f0cc01c10 | 377ae5cca76af883c59d208f17178d5697ceeb4b | refs/heads/master | 2020-07-31T09:15:03.783979 | 2019-11-26T12:11:53 | 2019-11-26T12:11:53 | 210,556,826 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 178 | py | #asking for input
phrase = input("please enter a phrase: ")
bopLen = (len(str(phrase)))
bops = ""
while bopLen > 0:
bops = bops + "bop "
bopLen = bopLen - 1
print(bops) | [
"4mayet21@solent.ac.uk"
] | 4mayet21@solent.ac.uk |
59b4a7e0dd46c5e83fc418f6782d8c48fd7a89e1 | be27afb51cbdcc321ee7e80d147d62c0c321ebba | /rocon_client_sdk_py/virtual_core/hooks/bootstrap.py | f396c58086d4ef720832affed70f281b92985e6a | [
"MIT"
] | permissive | boklae/rocon_client_sdk_py | 18cf6dadb5782d34e74e013d500c7ad3a5d36fa8 | 47ffd3a466fbbcb43f77338eddd9a9fa32b3a763 | refs/heads/master | 2022-11-29T19:02:20.386179 | 2020-03-04T06:31:52 | 2020-03-04T06:31:52 | 244,824,897 | 0 | 0 | MIT | 2022-11-22T05:22:10 | 2020-03-04T06:29:21 | Python | UTF-8 | Python | false | false | 3,522 | py | import pydash
class HookBootstrap():
def __init__(self, context):
self._iniitializers = {'battery':self._init_battery, 'location': self._init_location}
self._validators = {'battery': self._validate_battery, 'location': self._validate_location}
self._api_config = context.api_configuration
... | [
"blcho@yujinrobot.com"
] | blcho@yujinrobot.com |
6b1570a94afa10a3418bbfa5637e016112f5af3d | 3f8cc11f2322a2939a992378e1d3e478684ce770 | /6_2_3_Natürliche_Kubische_Spline_Interpolation_mit_LGS_4_Stützpunkte.py | 4f5ead4b0aec03ae3e7895c8f3f46df7520f29bf | [] | no_license | Finrod-Amandil/hm-scripts | 6b37f0c0df2b6b34a9edd2b8f36ad3dd3731f3d8 | ddd98ba2194933dc4654030eb4fa6a72fdb3b604 | refs/heads/main | 2023-06-10T04:06:02.448179 | 2021-06-27T14:24:39 | 2021-06-27T14:24:39 | 372,249,707 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 5,578 | py | import numpy as np
import matplotlib.pyplot as plt
x = np.array([4, 6, 8, 10], dtype=np.float64) # Stützpunkte (Knoten) xi
y = np.array([6, 3, 9, 0], dtype=np.float64) # Stützpunkte (Knoten) yi
x_int = 9 # Zu interpolierender Wert
n = x.shape[0] - 1 # Anzahl Spline-Polynome
dim = 3
print('{} Spline-Polynome {}.... | [
"severin.zahler@gmail.com"
] | severin.zahler@gmail.com |
de18f9e297b8b2c8cb0d4eb962556836670c4046 | a22a76d50a376ab9184df61d73e872cc80ff1a6f | /REGRIDDING/regrid_PRIMAVERA_on_CORDEX.py | 42db1c9ef1e1f7228246440e20a3d85f234ec280 | [
"LicenseRef-scancode-proprietary-license",
"Apache-2.0"
] | permissive | PRIMAVERA-H2020/PrecipDistribution | e3eb7c4a224aab1ed4606b553edce906ad53014e | 92c2faf428d1e8809c34473831ac9fbf0e5a0e0a | refs/heads/master | 2023-01-05T15:57:51.768864 | 2020-11-04T11:02:07 | 2020-11-04T11:02:07 | 227,361,674 | 0 | 1 | Apache-2.0 | 2020-02-24T21:35:11 | 2019-12-11T12:32:40 | Python | UTF-8 | Python | false | false | 5,431 | py | import european_masked_subregion as ems
import iris
import subprocess
import os
from cf_units import Unit
def main():
outdir = '/gws/nopw/j04/primavera3/cache/sberthou/'
country = 'prudence'
frequency = 'd'
n512 = False
other = 'PRIMAVERA'
time_con = iris.Constraint(time=lambda cell: 1950 <= ce... | [
"segolene.berthou@metoffice.gov.uk"
] | segolene.berthou@metoffice.gov.uk |
4f594bdd576600a328c0961d7f08f576815b4e3e | 0b3279cc150b85f5daf48e74ed164d91d5b0f522 | /week4/linked_lists/odd_even_linked_list.py | bef041c87b7c695c26acea8361a17d270c8aad75 | [] | no_license | membriux/Wallbreakers-Training | 42a0e4bf64f178e48f5228f6559929b7b0b772b7 | 5ec134f964cc87ae6399027bcf8b573e9ea83503 | refs/heads/master | 2020-06-08T05:24:13.204769 | 2019-07-19T21:19:43 | 2019-07-19T21:19:43 | 193,166,934 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 919 | py | '''Given a singly linked list, group all odd nodes together followed by the even nodes. Please note here we are talking about the node number and not the value in the nodes.
You should try to do it in place. The program should run in O(1) space complexity and O(nodes) time complexity.
Example 1:
Input: 1->2->3->4->5... | [
"sanguillermo98@gmail.com"
] | sanguillermo98@gmail.com |
57b3602e7f6251032bfd21f91cf0b5da466d7f53 | a0b53f6638af5b67cc591994eea7eb3aec0e44f9 | /misago/threads/tests/test_floodprotection.py | 9b8d42c5085c7017af247a4b8703dfe8a2cd13ab | [] | no_license | FelixFreelancer/react-django-forum | bb4d4ed3bac1c77694bd0ef50a122e5bd2efc3a6 | 442db7e56714f2baad17aac525e725873bdf1650 | refs/heads/master | 2022-12-12T21:28:50.301365 | 2019-05-09T03:12:56 | 2019-05-09T03:12:56 | 185,715,690 | 1 | 0 | null | 2022-12-08T01:22:57 | 2019-05-09T02:57:02 | Python | UTF-8 | Python | false | false | 1,525 | py | from django.urls import reverse
from misago.acl.testutils import override_acl
from misago.categories.models import Category
from misago.threads import testutils
from misago.users.testutils import AuthenticatedUserTestCase
class PostMentionsTests(AuthenticatedUserTestCase):
def setUp(self):
super().setUp(... | [
"explorerpower@hotmail.com"
] | explorerpower@hotmail.com |
fca0f3066fbd42e823817547f2c01715501558b4 | 046d9405f06774ab8d52cd356b137007e6c9599a | /python/python/老师笔记/python/day01_pm/day01/exercise/salary.py | 9b74a9a7b0e9d1efad83c45d995a6132447b113d | [] | no_license | jluocc/jluo2018 | 3a49d9884bd2bc2e02e0d6ef9f066269c2e430a8 | 30e39f93ef65810d39423a4b66dd253cdeaddae5 | refs/heads/master | 2020-04-07T15:24:07.850373 | 2019-01-06T06:05:19 | 2019-01-06T06:05:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 151 | py | # 2. 一个学生毕业薪资是10000元,
# 每年涨20%,问十年后它的薪资是多少?
# (要求打印出来)
print((1 + 0.2) ** 10 * 10000)
| [
"473145009@qq.com"
] | 473145009@qq.com |
2a61130e38abfdb993ca7a5d2c63578e361d5ba3 | 7ff908b0d3196d9170e37590654d21288ba0afc7 | /lotto.py | f9fd1a6553693d0bc6e5011740b42c182493c411 | [] | no_license | my0614/python | 9fca95adf7175344e61b13b5c2940284e6cc5fc8 | de87665e8d63c3c878abeef1be55173113c810ad | refs/heads/master | 2021-11-22T23:35:02.103330 | 2021-08-29T05:06:19 | 2021-08-29T05:06:19 | 212,062,519 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 597 | py | import random
lotto_value = []
count = 0
one = 0
for i in range(7):
a = random.randrange(1,46)
lotto_value.append(a)
print(lotto_value)
lotto_input = input('로또 번호를 적어주세요').split(' ')
print(lotto_input)
for i in range(0,6):
if int(lotto_input[i]) == lotto_value[i]:
count += 1
if int(lotto_input[6]... | [
"noreply@github.com"
] | my0614.noreply@github.com |
7a203d32c16d289fef8f26566ec33d36956c6123 | b11b16bf88d4d9be80986631ba161883cd9a28a4 | /examples/rc/packages/gnu.py | 1d096f2cec2adb7a006c51d7ab8534210bfb4da8 | [
"Apache-2.0"
] | permissive | simone-campagna/zapper | 8ec11f68fdf6904cab3031789cd7553aa71f7869 | fee2aaddcb13f789768a30761670c8c142d2b54d | refs/heads/master | 2020-04-26T01:42:32.180173 | 2013-12-07T14:45:57 | 2013-12-07T14:45:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,317 | py | from zapper.package_file import *
gnu = Suite('gnu', NULL_VERSION)
gnu.add_conflicting_tag('compiler-suite')
for version in '4.1.2', '4.5.2', '4.7.0':
version_name = version.replace('.', '_')
gnu_version = Suite(version_name, NULL_VERSION, suite=gnu)
gnu_version.add_conflicting_tag('gnu-suite')
libf... | [
"simone.campagna@tiscali.it"
] | simone.campagna@tiscali.it |
30bfa11e0595824edd8f03e6b69ce3e066a2646d | 389b781aaa933f431ee4f4bcc5b8df256ad0c967 | /kevin.py | 06d95b7a94959fd35deca7ffab80ca24a91d5e97 | [] | no_license | FrankJunkar/FavoriteThings | fcf9c133c1a5147489a26b7aef5b58e4cbf7ca59 | 419fa425f472f04ff7cf3324a87c76fe16d94acf | refs/heads/main | 2023-03-13T10:23:10.824339 | 2021-03-02T00:03:10 | 2021-03-02T00:03:10 | 341,363,777 | 0 | 0 | null | 2021-02-22T23:09:49 | 2021-02-22T23:09:48 | null | UTF-8 | Python | false | false | 427 | py | import random
import binascii
favorite_things = "c3ba01c3b35e2bc3b70e70c38c25307719c29427051dc38dc294c3b1c3b50918c297c2b7c2adc39e17c2b272c38e20c2b3386463c2863ac3a3c2b27450c38bc291c2a724c396c382c390c292"
def printfavs():
decoded = binascii.unhexlify(favorite_things).decode()
random.seed("53c437_k3y")
decrypted =... | [
"kevin@drymail.com"
] | kevin@drymail.com |
0a38129fb32469a1590e8cefd7d32d74d316bd54 | c2447adecfdbb05a772f1d84e6e5f229de33d0c6 | /talleres/taller04/taller04.py | e6becc912735e6b385b632684b07b48b1b75a4bd | [] | no_license | Juanesfon5/ST0245-respuestas | e9aa433fedc1ef24891ae66cf3f1d06830b5f248 | 04bd676cd20393447427e8a976714be9b73cae8e | refs/heads/master | 2020-03-28T12:46:38.339203 | 2018-08-21T20:08:19 | 2018-08-21T20:08:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,252 | py | #!/usr/bin/python
import random
from matplotlib import pyplot as pl
import time
def array_generator(len):
"""List generator"""
array = [0] * len
for i in range(len):
array[i] = random.randrange(0,100)
return array
def array_sum(array, sum = 0):
"""Add the elements in the list"""
for e... | [
"noreply@github.com"
] | Juanesfon5.noreply@github.com |
cbea8d19bfec7562e32c00134f80b76fc7ac3e63 | 035b9151e3e35e9c697c04eb54aca4a44d4a4cd2 | /polls/views.py | 50f21bedcaca2320703383f31f2dda3beebf35b9 | [] | no_license | ghm8418/mysite | 1139e4c8fc3980c0afdaa7ea9945f58444269697 | 4103faef9df2d921c9124190661353c474bf4ed2 | refs/heads/master | 2020-04-07T06:59:28.660217 | 2018-11-19T07:53:24 | 2018-11-19T07:53:24 | 158,159,020 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,026 | py | from django.shortcuts import render
from django.http import HttpResponse
from polls.models import Question
# Create your views here.
# def index(request):
# q = Question.objects.all()[0]
# choices = q.choice_set.all()
#
# print(q.question_text)
# print(choices[0].choice_text)
# print(choices[1].ch... | [
"ghm8418@gmail.com"
] | ghm8418@gmail.com |
9b42a9e7e46436d0ff8326b0eda12b97ff858ab2 | f1ff4a61c6b850734c58ec114884cb0fa8f5d82a | /Francesco Raco/src/spotifyGroupingService.py | e86efd94089cba27c8991bad03acd1ae076f7e0e | [] | no_license | Fafixxx96/BigDataAnalitycs | 23227a9dab35345cfc6e81ad06c8781e71571979 | 8e21d3ce9c5dc1d9c4dbfc0023b90d0b5bf38994 | refs/heads/main | 2023-07-01T07:04:07.869518 | 2021-08-01T15:44:52 | 2021-08-01T15:44:52 | 323,847,283 | 0 | 0 | null | 2021-08-01T08:48:53 | 2020-12-23T08:35:17 | Python | UTF-8 | Python | false | false | 11,961 | py | import logging
import matplotlib
from numpy import double
logging.basicConfig(level= logging.ERROR)
import numpy
import math
import spotipy
from spotipy.oauth2 import SpotifyOAuth, SpotifyClientCredentials
import json
from pyspark.sql.session import SparkSession
from pyspark.sql.functions import Column
fro... | [
"noreply@github.com"
] | Fafixxx96.noreply@github.com |
ca6f20af4089ca0e8e1ecd2c061a2b5fc46bdd11 | a7ed2f9d4cbdadd159dab7c817d8e3955beed2b5 | /home/migrations/0005_product_url.py | 9fa38e0bfdc6143565ad53cb075a891f5ea4ed02 | [] | no_license | m0rtez4/1 | d8cd47613d666b9598fdf111a0da98b074e624b4 | d291dda1f60628287fc9090256c681f758499ff0 | refs/heads/master | 2023-07-21T10:40:20.145749 | 2021-08-19T20:53:29 | 2021-08-19T20:53:29 | 396,295,471 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 400 | py | # Generated by Django 3.2.5 on 2021-07-13 00:24
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('home', '0004_remove_product_total_price'),
]
operations = [
migrations.AddField(
model_name='product',
name='url',
... | [
"m.golalipour@yahoo.com"
] | m.golalipour@yahoo.com |
d27c1611bd3737bd6b4d8b6aecbf4c536cec23b3 | 015098bcb0e7b5595337c1b3e702942ed5b01272 | /setup.py | 6036b2725a5bdc962a01ccd158e2d7961c4446af | [] | no_license | ASSNAKE/assnake-core-binning | f0e0676aa6bcdc4fc60fa98fcdb49d0f5fa960a7 | 7b7e539722e18226b1dd9cd23231a4fda4ba78c9 | refs/heads/master | 2022-12-25T18:39:22.303737 | 2020-10-09T09:53:07 | 2020-10-09T09:53:07 | 236,690,287 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 384 | py | from setuptools import setup, find_packages
from setuptools.command.develop import develop
from setuptools.command.install import install
import os, shutil
setup(
name='assnake-core-binning',
version='0.0.1',
packages=find_packages(),
entry_points = {
'assnake.plugins': ['assnake-core-binning ... | [
"fedorov.de@gmail.com"
] | fedorov.de@gmail.com |
e4a8b726e97e5b7e572f45b81f4f0dcf2eabafe5 | 8a932777c890284c5eabc203c4916516f4e314ce | /examples/example_flask.py | cbe30bd866157ced8d7a031e179630bf396f4a4f | [] | no_license | watxaut/flask-project | da58e5da06a865f2619fac2cc4ef63405cb8a9d0 | a81d0e701fc2845157bb346083149ee74985e989 | refs/heads/master | 2021-06-17T18:27:32.656865 | 2019-11-02T08:56:58 | 2019-11-02T08:56:58 | 169,991,536 | 0 | 0 | null | 2021-03-20T00:34:35 | 2019-02-10T15:16:18 | Python | UTF-8 | Python | false | false | 838 | py | from flask import Flask, jsonify, request
# __name__ == "__main__" if executed. It will give the module name if imported and printed
app = Flask(__name__)
# main page (like 'index.html')
@app.route("/")
def home():
# Flash automatically looks at the 'templates' folder, very important to have the same folder name... | [
"watxaut@gmail.com"
] | watxaut@gmail.com |
a2236073f0785781b83840404f7b1e3f300e4246 | d083fcc77d98c9724d8de534f91e6bdd403925d4 | /CodingTemplate/datasets/kittidataset.py | 100e0c4725f23f040fd7b5bafb717457dadb9c1c | [] | no_license | htXin/CodingTemplate | c17c0b913102f380e53bf9856001aacd14a2d237 | f9232abf069c39586dbaa92f5b71c749ce831f8a | refs/heads/main | 2023-04-15T11:00:22.552421 | 2021-04-20T08:34:18 | 2021-04-20T08:34:18 | 359,731,006 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,587 | py | import os
import numpy as np
from PIL import Image
from torch.utils.data import Dataset
import datasets.datastruct.label_object as label_object
import datasets.datastruct.calib_object as calib_object
import argparse
class KittiDataSet(Dataset):
def __init__(self, root_dir, split):
IS_TRAIN = sp... | [
"noreply@github.com"
] | htXin.noreply@github.com |
b776e05c4aebbeae77ba412fb2ebf0fec81ef261 | d3aef2ce0ee88c92516e64018f6d9f880911438c | /demo/urls.py | 0137d9575b7afac8bf893f382ea0ac49ae67e9f8 | [
"BSD-3-Clause",
"BSD-2-Clause"
] | permissive | Apkawa/django-material | 648451d28a21270ddff937abf92931592ab9a56e | 426e845ac27db0e1351bbb7f68377949581dfbd7 | refs/heads/master | 2021-01-15T17:51:49.304338 | 2016-02-26T10:34:15 | 2016-02-26T10:34:15 | 52,146,120 | 0 | 0 | null | 2016-02-20T09:29:25 | 2016-02-20T09:29:24 | null | UTF-8 | Python | false | false | 6,434 | py | from django.conf import settings
from django.conf.urls import include, url
from django.contrib import admin
from django.views import generic
from django.shortcuts import render
from formtools.wizard.views import SessionWizardView
from material.frontend import urls as frontend_urls
from . import forms, widget_forms
d... | [
"kmmbvnr@gmail.com"
] | kmmbvnr@gmail.com |
1adbedc4b372ae1eec8d80d473a2248610c0e861 | 41288c85ba5bbb644efd36310858034153893bb2 | /k_medoids.py | cde790f76334ea1421fdd4ecc4f264cd2cab8554 | [] | no_license | suhamida/pythonPractice | 796247652069d5d73c865bbd923c101ee08f6071 | 6345015b66c370a26fb3918b8dd3725a0df42d11 | refs/heads/main | 2023-07-06T19:36:43.915297 | 2021-08-08T07:15:27 | 2021-08-08T07:15:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,879 | py |
import numpy as np
import matplotlib.pyplot as plt
from copy import deepcopy
from IPython import embed
import time
def _get_init_centers(n_clusters, n_samples):
#return random points as initial centers'''
init_ids = []
while len(init_ids) < n_clusters:
_ = np.random.randint(0, n_samples)
... | [
"hamida.cse@gmail.com"
] | hamida.cse@gmail.com |
b86275ae56f9d0014b5c3a45b2b8249d042a0397 | c74b29b68211a51d7283d57b24d7cf83422a8ceb | /historischekranten2folia.py | 49a1dadee9ba395be694155de271a6c80da1c684 | [] | no_license | proycon/nlpsandbox | 63359e7cdd709dd81d66aed9bf1437f8ecf706a0 | 22e5f85852b7b2a658c6b94c3dedd425a5d6396f | refs/heads/master | 2020-12-09T19:37:10.040962 | 2019-04-23T17:17:15 | 2019-04-23T17:17:15 | 2,347,265 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,678 | py | #!/usr/bin/env python3
import csv
import sys
from bs4 import BeautifulSoup
from pynlpl.formats import folia
for filename in sys.argv[1:]:
with open(filename, 'r',encoding='utf-8') as f:
reader = csv.DictReader(f, delimiter='\t', quotechar='"')
for row in reader:
docid = "historischekr... | [
"proycon@anaproy.nl"
] | proycon@anaproy.nl |
ebe0c7c995796cf5a3412cdf516158f9b5ae94b9 | 8ae22e2027a87c26e18d02febb436960321f005c | /core/migrations/0021_causas_tecnico.py | 45db335b9a6856aa892ab5464df19c5111b410ec | [] | no_license | Astralroth/Proyect-Lex | 67b8136d7b7e0824506e76a8f0924f23a61b50e3 | 9ec756cf2733bd937739a9268e0ef4f566a24cfd | refs/heads/main | 2023-06-11T03:45:11.608048 | 2021-07-01T18:10:15 | 2021-07-01T18:10:15 | 380,637,155 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 586 | py | # Generated by Django 3.2.4 on 2021-06-30 22:04
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('core', '0020_auto_202106... | [
"francosandoval003@gmail.com"
] | francosandoval003@gmail.com |
2702b2b19ddfb0b10a4f4ce3f46c6c567491e9d2 | dbb4d1de645b16fe900d05d93f1fc31545ba9c99 | /Object_Design/5_class_and_static_decorator.py | f14252fb5c3d823baa15cf45b95dee522e1fc067 | [] | no_license | 0x-Robert/Algo_python_Study | 731d5902aec0e9d73b60b8f96e4f931efdcb28ce | 1940b46e5466e060aa69295b167173a316e3247d | refs/heads/main | 2023-07-31T11:49:49.483596 | 2021-09-08T07:24:51 | 2021-09-08T07:24:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 476 | py | class A(object):
_hello = True
def foo(self, x):
print("foo{0} {1} 실행".format(self,x))
@classmethod
def class_foo(cls, x):
print("class_foo({0}, {1}) 실행: {2}".format(cls,x, cls._hello))
@staticmethod
def static_foo(x):
print("static_foo({0}) 실행".format(x))
... | [
"smartdragon417@gmail.com"
] | smartdragon417@gmail.com |
8275b4667d792989ce88f4409448f56247504e74 | 74518c42d7d909f134e6958e6aea3e555307d73f | /crawler.py | 1d5722874c768a550cb9ae2d50440f8dfec0d804 | [] | no_license | pariweshsubedi/simple-python-crawler | bc03ae55a76a92ab68b1f4d781b273778daf63a0 | d471c3c2e5d1def259a57046805117ad81eefb6a | refs/heads/master | 2021-01-20T21:06:20.492448 | 2016-06-15T05:32:47 | 2016-06-15T05:39:28 | 61,180,500 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,152 | py | #coding:utf8
from bs4 import BeautifulSoup
import requests
import json
import re
class Crawler():
"""
A crawler that fetches the latest ads from
site : http://hamrobazaar.com/
with input keyword
to output json in format:
[{
"price" : "",
"ad_url" : "",
"... | [
"pariwesh123@gmail.com"
] | pariwesh123@gmail.com |
a5182a3592a73630ecc56a742be9063f21eaa18f | 1084f6e49cb5bc119e269074abeb19892936ced0 | /2_estruturas_de_condicao/exercicio_21/exercicio.py | 8c043089dab08a77a37dbb68de6301db7f4ba225 | [
"MIT"
] | permissive | ericsporto/Logica_com_Python | b14c68856156d20e54451064bc2854636a724740 | 6036de44776c69da1381d4b4e05abbfd7523c9f5 | refs/heads/main | 2023-09-04T13:25:14.591405 | 2021-10-22T10:44:16 | 2021-10-22T10:44:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 165 | py | rodas = int(input("Digite a quantidade de rodas: "))
print(rodas)
if rodas > 2:
print("Pagar pedágio!")
if rodas == 2:
print("Pode passar livremente!")
| [
"89411680+ericsporto@users.noreply.github.com"
] | 89411680+ericsporto@users.noreply.github.com |
3a5a5002e2468ce50e405be4a11ab9223ceffb70 | 19d6b853089421142d46e2db26ff639dc4546b6f | /walkietrackie/wsgi.py | 3562f32968095906c9ac6d302791103a0446afc3 | [
"Unlicense"
] | permissive | polmuz/walkietrackie | 478d52857c835d63f69d9c4290e669daca149076 | f498c9b0b833c481292ad60432fc9bc7e15816b3 | refs/heads/master | 2020-04-25T23:30:39.719767 | 2014-12-31T19:19:41 | 2014-12-31T19:19:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 437 | py | """
WSGI config for walkietrackie project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.6/howto/deployment/wsgi/
"""
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "walkietrackie.settings")
from d... | [
"pablomouzo@gmail.com"
] | pablomouzo@gmail.com |
56845e58bbe8305e5bc3d7b2e20895a2f7696084 | 6eb0fb83ab926be3835973ab2703fb9fb0f384c7 | /traintest/binary_trainer.py | 65f3055dbaf78d395029d7e151e6a818af5f0259 | [] | no_license | meetsiyuan/MCTS | 26a64434b512303b87787923d6047d9e20b29ed4 | 2d34ec72c2358a5bf4dd0b2855a7900fbb8feae7 | refs/heads/master | 2022-10-13T16:17:29.742075 | 2020-06-07T11:48:35 | 2020-06-07T11:48:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,798 | py | import torch
import numpy as np
import random
import time
from traintest.trainer import Trainer
from utils import *
__all__ = ['BinaryTrainer']
class BinaryTrainer(Trainer):
"""
Binarynet专用
"""
def __init__(self, model, dataloader, criterion, optimizer, device,
vis=None, vis_interva... | [
"1934455602@qq.com"
] | 1934455602@qq.com |
a08dc9693ab281fca9297639b0196989edb536ed | 64f368cdf1555260bcdbdd556cefa4aac99aea77 | /armgcc/aarch64-cortexa53-linux-gnu/lib64/libstdc++.so.6.0.22-gdb.py | ca3f171e4176b78758cca5835b650befc7053c70 | [
"MIT"
] | permissive | best008/BC_ARMGCC_S5P6818 | a3d01e574d4118439b0c922bb25920469c44f7db | 570f410a7f4a10be3416da0aac022443f3bffd24 | refs/heads/master | 2020-04-11T10:46:43.957194 | 2018-12-14T03:23:52 | 2018-12-14T03:23:52 | 161,725,902 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 74 | py | ../../aarch64-cortexa53-linux-gnu/sysroot/lib64/libstdc++.so.6.0.22-gdb.py | [
"2362317758@qq.com"
] | 2362317758@qq.com |
4f03dcbb3a4981e832ea2ada8019b8427ffa6e1e | 7173d5322427947dcf09174e61193f99901ffb40 | /common/samples-generator.py | 4c47a6f5b8170a21f364dd79e55b8fb6435c433d | [
"MIT"
] | permissive | mksoc/ISA-filter-design | 8b917822e196ebd6496407760723b81e0c4ebfa8 | bc2af7f8ca85a06ffa2e9c3a572c9093ef42cef3 | refs/heads/master | 2020-03-31T12:27:44.488771 | 2019-03-21T10:12:26 | 2019-03-21T10:12:26 | 152,216,761 | 1 | 0 | MIT | 2018-11-11T17:18:37 | 2018-10-09T08:37:41 | Verilog | UTF-8 | Python | false | false | 1,275 | py | #! /usr/bin/python3
from sys import exit
import random
# define possible modes
modes = {1:"Random", 2:"Special (only 0 and extremes)"}
for key, value in modes.items():
print("{} - {}".format(key, value))
# prompt user for mode selection
try:
mode = int(input("Select the generator mode: "))
except ValueError:
... | [
"27402195+mksoc@users.noreply.github.com"
] | 27402195+mksoc@users.noreply.github.com |
06cf5691c097f29cecbf4016aadddc46e96c8ec1 | 6b520836bf5caedb064af02bc7b9ec9c828f0885 | /03 Num Dates Times/C04binhexdecoct.py | 6610c06e7b6cfbaf416801949101b4c708c49cf1 | [] | no_license | tomtom0516/python-cookbook-3rd-edition | bc2c641133f96b4d5718335f8d17eee3d4426114 | e72545f99622b1f46fd05ff63e3c8d3d6841ab42 | refs/heads/master | 2022-03-10T22:10:19.179123 | 2019-12-05T02:25:04 | 2019-12-05T02:25:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 110 | py | x = 1234
bin(x)
hex(x)
oct(x)
int(0x4d2)
int(0b10011010010)
int(0o2322)
int('4d2', 16)
int('10011010010', 2) | [
"pyptom76@163.com"
] | pyptom76@163.com |
6d3d0232ab5ec62fd9963d3b5f279118a4925235 | beb315cb6c2ef23652d2de7a9adee062e02c5722 | /shop/auth_/views.py | 4ade748693bcef96cde288bf837051476c857524 | [] | no_license | Yessenaly/SoftProject | 8a537038f15542dd5939187d549ee89816811ebc | 4e9cfeab21d47a05bf658267a4304fe0724cc123 | refs/heads/master | 2020-04-23T10:18:36.927426 | 2019-02-21T20:15:21 | 2019-02-21T20:15:21 | 171,100,051 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,022 | py | from django.shortcuts import render , redirect
from django.http import HttpResponse
from django.contrib.auth.models import User
from django.contrib import auth
# Create your views here.
def register(request):
if request.method == 'GET':
return render(request , 'register.html')
else:
username ... | [
"yessen3103@gmail.com"
] | yessen3103@gmail.com |
d69a60ce1ac5bc784e7be8caf9b4d419321c1239 | c0a1c7d0df229cd0236311f8344ae85d20560868 | /Numpy/August-23-2019/calculating_Volume_Weighted_Average_Price.py | 090e9e9a978f33964952f4ee7cd4fbde0578c60c | [] | no_license | edaaydinea/python-libraries-study | a67cc72a954723da92e798e3cd7f10105ad30b6c | 1431f778f6edab0b7209ddbbe4a4adb5805cb251 | refs/heads/master | 2020-07-06T02:39:20.677670 | 2019-09-11T19:47:15 | 2019-09-11T19:47:15 | 202,862,334 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 182 | py | from __future__ import print_function
import numpy as np
c,v = np.loadtxt("data.csv",delimiter=",",usecols=(6,7),unpack=True)
vwap= np.average(c,weights=v)
print("VMAP=", vwap) | [
"noreply@github.com"
] | edaaydinea.noreply@github.com |
1f3b8ca61fb87703a1d5b7ee53112abbc6cca035 | 80e3a4fd8921ea6794f31f2f3dda13d049675f7d | /utils/__init__.py | 15f6d6d9659925861c4be53aa16ef68ac9c94192 | [
"MIT"
] | permissive | dan-kez/lambda-ftp-to-gsheet-transform | e228ce9d6948aa9f15a547a519988c6676c8bef0 | e6707542719ed133ee90addc6b73c9c057b7898a | refs/heads/master | 2023-02-02T18:37:56.947431 | 2020-04-04T20:50:01 | 2020-04-04T20:50:01 | 237,648,380 | 2 | 0 | MIT | 2023-01-24T01:17:05 | 2020-02-01T17:09:14 | Python | UTF-8 | Python | false | false | 37 | py | from .s3 import get_matching_s3_keys
| [
"daniel.kez@gmail.com"
] | daniel.kez@gmail.com |
8f6074736677b40ad3abc447c437659f71c7eb0f | fbf4f26a2b97d4fe35aa7b66e9cfed4cd0224e89 | /chlamdb/eutils/sequence_exact_match.py | 83e231040a3d492e29ca337400d07a339d4fe140 | [] | no_license | metagenlab/chlamdb | a100ab93407e15c33684b8d7175873adc6720d0b | f1829cf19ac1ded032d65689fbbff2d37489f739 | refs/heads/master | 2023-03-07T05:30:02.793914 | 2023-03-02T10:30:57 | 2023-03-02T10:30:57 | 179,291,344 | 6 | 1 | null | 2022-11-01T07:01:54 | 2019-04-03T13:02:40 | HTML | UTF-8 | Python | false | false | 4,816 | py | #!/usr/bin/env python
def process_tag(tag):
return tag.split('}')[-1]
def get_UPI(seq):
for element in seq:
if element.tag == '{http://model.picr.ebi.ac.uk}UPI':
return element.text
def get_hit_attributes(hit):
accession = ''
version = ''
taxon_id = ''
db_name = ''
for... | [
"trestan.pillonel@gmail.com"
] | trestan.pillonel@gmail.com |
077d1f303b1d8e4453ccf710e00fdc43e75bd68c | 1f38f3cd0ba6d42dd73f273e3dc9df4ebdc0dc9d | /BuzzScoreSite/manage.py | 5463761455fffd46cd530a6382b889c5bc5c5ee1 | [] | no_license | MenshovSergey/BuzzScore | 2a5f8cfd9b46a85665455c2a5cfa298c9a3a698b | 348d1b2feb76a892e489016682f16e7a70a504a9 | refs/heads/master | 2021-01-16T19:49:40.996213 | 2013-10-12T09:43:46 | 2013-10-12T09:43:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 256 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "BuzzScoreSite.settings")
from django.core.management import execute_from_command_line
execute_from_command_line(sys.argv)
| [
"snailandmail@gmail.com"
] | snailandmail@gmail.com |
443fdd4993d3dad8cc8a84552bb38aad7f19f7ec | e0a991bbc1cc6ff2c595ad4952315028dd5d83a1 | /memory_ver3/finPID_by_processName.py | fca50bc27f77600c7b3d3b7307ae07ade32da906 | [] | no_license | fordivil/python | 1ff40e6995622e0fb3a13cc1e137fc8d528c35b1 | 4d2634158226c4c5ac4881d56ac1eac9253cdcd9 | refs/heads/master | 2021-01-21T14:01:25.461498 | 2016-05-26T04:53:06 | 2016-05-26T04:53:06 | 55,599,629 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 388 | py | import psutil
def find_Process_Name(process_name):
for proc in psutil.process_iter():
process = psutil.Process(proc.pid)# Get the process info using PID
pname = process.name()# Here is the process name
#print pname
if pname == process_name:
return proc.... | [
"fordivil1@gmail.com"
] | fordivil1@gmail.com |
b81d4344b6186530702ceb706cebe876dde0b167 | 8259611d9ad49cca99e26ce07d1d792ab8c28b13 | /geopandas/_vectorized.py | 82e3d08d21a48de2dda8b0db3faed73dcbef410d | [
"BSD-3-Clause"
] | permissive | maifeeulasad/geopandas2 | 83218432bae245d691b592cb4f1ca8814221f23b | 12038d99dade80cacc7af6a55c42bcce8d9964a9 | refs/heads/master | 2023-06-03T23:21:21.857793 | 2021-06-30T05:42:55 | 2021-06-30T05:42:55 | 381,581,507 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 27,294 | py | """
Compatibility shim for the vectorized geometry operations.
Uses PyGEOS if available/set, otherwise loops through Shapely geometries.
"""
import warnings
import numpy as np
import shapely.geometry
import shapely.geos
import shapely.wkb
import shapely.wkt
from shapely.geometry.base import BaseGeometry
import _c... | [
"maifeeulasad@gmail.com"
] | maifeeulasad@gmail.com |
4d11d38be8a5327f5b2570194e363b7d16a02a24 | 05ef845deda7863134c65da01679b92196a6dab2 | /configs/models/classifier-basic.py | c6cdd3eb98ef2e7375cca5517508a66cd5d40cfe | [
"MIT"
] | permissive | gleb-t/S4 | 6dc6dd417519a8a93b5ef9ac52f412857776eb54 | e88abf5f630aae7f2a825a7f686c23db6066d6ff | refs/heads/master | 2023-01-24T22:26:50.756351 | 2022-04-24T09:51:35 | 2022-04-24T09:51:35 | 399,844,486 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 370 | py | from typing import *
from Siamese.config import SiameseConfig
# noinspection DuplicatedCode
def build_classifier(config: SiameseConfig, inputShape: Tuple[int, ...]) -> 'keras.models.Sequential':
import keras
classifier = keras.models.Sequential()
classifier.add(keras.layers.Dense(1, activation='sigmoid'... | [
"gleb-t@users.noreply.github.com"
] | gleb-t@users.noreply.github.com |
555e2b6b866cd6328a6db4f4f3185a895ce25130 | 9f517ba528665be4f1065b95ed13b414b19b4580 | /Tutorials/MachineLearning/SirajologyMusicDemo/tf_music_generation_demo.py | c436288ce6c8053baa70f0c7919ef031c2516ab1 | [] | no_license | bgenchel/practice | d6120bf2b047ac49c0741040cbe17f17e4846883 | ddd10410165bf63ef9786af8421d3d39bae8d153 | refs/heads/master | 2020-06-18T00:53:04.717907 | 2016-11-28T10:29:43 | 2016-11-28T10:29:43 | 74,961,921 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,092 | py | # Generate Music in TensorFlow
# https://www.youtube.com/watch?v=ZE7qWXX05T0
import numpy as np
import pandas as pd
import tensorflow as tf
from tqdm import tqdm
import midi_manipulation
from rbm_chords import *
## 4 steps to generate music! (Using restricted boltzmann machine)
##############################
### Ste... | [
"benjiegenchel@gmail.com"
] | benjiegenchel@gmail.com |
7b5f8b2dd459f5a56b4dde5383683cdeec6ffa7a | e7324a597faef537e96d0c1d27b1877d229591bb | /odoo-venv/bin/pysassc | 12341ce28b1a5fff3024ced4898cc0812035101b | [] | no_license | ledonhomeweb1/ming | 6a95c02e456c808b061fd5e7862d51504ba0fca8 | c663fbfe6c2b3d7b0b9f7e5b94dddaca9fd8b7ed | refs/heads/master | 2022-12-16T10:51:23.767786 | 2020-09-14T08:59:02 | 2020-09-14T08:59:02 | 295,359,198 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 231 | #!/opt/odoo13ming/odoo-venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pysassc import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"ledonhome.web1@gmail.com"
] | ledonhome.web1@gmail.com | |
bca0bdb8b08da22691ffa39b5e1104087b4180c0 | 9b79dc0b4b2f13dea85a1d29177e5eb266b6e7f7 | /var/lib/python-support/python2.6/rdflib/store/REGEXMatching.py | b7500a712c707ce0fccfdef7843481cac2b31775 | [] | no_license | haniokasai/netwalker-rootfs | 0bc87efc0ae478338b6326fd9118befcbcc5cd06 | d08f7bf370a82b6970387bb9f165d374a9d9092b | refs/heads/master | 2021-01-10T11:04:34.436513 | 2016-01-12T06:09:50 | 2016-01-12T06:09:50 | 36,504,146 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 69 | py | /usr/share/python-support/python-rdflib/rdflib/store/REGEXMatching.py | [
"htek@haniokasai.com"
] | htek@haniokasai.com |
faebc71ced6cff2f4f66945a372fd278748ac68c | 52e3f68d59615dab6928befa4b31f8bcf23595fa | /algorithm/재미있는 오셀로 게임.py | 9870c96a88804b09da5615cef24c5993cf78dad0 | [] | no_license | talkin24/python | 0b40f2ab8893b3137195987e149a9dc79493392a | b12ba8f97dbadf41fe534a57c57d1600852e00d2 | refs/heads/master | 2023-01-06T14:37:45.480144 | 2020-10-29T08:46:34 | 2020-10-29T08:46:34 | 281,813,952 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,521 | py | import sys
sys.stdin = open("재미있는 오셀로 게임.txt", "r")
T = int(input())
for t in range(1, T + 1):
print(f"#{t}", end=" ")
N, M = input().split()
N, M = int(N), int(M)
acts = [list(map(int, input().split())) for _ in range(M)]
b, w = 0, 0
board = [[0] * (N + 2) for i in range(N + 2)] # add padding... | [
"35341110+talkin24@users.noreply.github.com"
] | 35341110+talkin24@users.noreply.github.com |
a25684a49262357be881aa5757e6209498b9ed21 | 51199e2c76498e67049a8e8d8308f551044c262a | /Python/GUI/PyQtLayout.py | 7763f69da7b2716765f481b486f3a7c04b0e08d0 | [
"MIT"
] | permissive | yishantao/DailyPractice | 9ab7129b7a573a9ff5f018bc293a40a6278675b8 | ee26859af3faf48e63d6c2850db1d895a8a88fb1 | refs/heads/master | 2020-03-18T18:59:11.153508 | 2018-08-02T10:58:50 | 2018-08-02T10:58:50 | 135,126,978 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,552 | py | # -*-coding:utf-8-*-
"""使用布局组件布置多个标签"""
import sys
from PyQt5 import QtWidgets, QtCore
# 通过继承QtWidgets.QWidget创建类
class MyWindow(QtWidgets.QWidget):
def __init__(self):
QtWidgets.QWidget.__init__(self)
self.setWindowTitle('PyQT') # 设置窗口标题
self.resize(300, 200) # 设置窗口大小
grid_layo... | [
"38241025+yishantao@users.noreply.github.com"
] | 38241025+yishantao@users.noreply.github.com |
c03058bdab453ed37f520ba3c345fbea4559e0f9 | 2a2777d02a0c99206d19e637a1c13ccf0f8e8fbb | /djangoWeb/iqc/migrations/0012_iqcuploadrecord.py | 0cbf6e98bbc65489a2f59073af241cdb0d7c4cf0 | [] | no_license | huangle63/DjangoWeb | 38360d190feb9c201cf1cfe8e820634d6e09662c | 7861e012c3788fd2e88927c0897c7ac8c4082b9c | refs/heads/master | 2021-01-13T11:20:20.111551 | 2017-03-10T03:13:09 | 2017-03-10T03:13:09 | 77,189,183 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,001 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.4 on 2017-03-06 15:14
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_depende... | [
"huangle63@163.com"
] | huangle63@163.com |
8e6a40aabb5d98acecdf713ba9a997923ae08b27 | 7bf617f77a55d8ec23fa8156c1380b563a5ac7f6 | /CG/SciPy/mm_color_cluster.py | c069d4d292db408ca47cdbeff36617ac590abb43 | [] | no_license | anyatran/school | c06da0e08b148e3d93aec0e76329579bddaa85d5 | 24bcfd75f4a6fe9595d790808f8fca4f9bf6c7ec | refs/heads/master | 2021-06-17T10:45:47.648361 | 2017-05-26T12:57:23 | 2017-05-26T12:57:23 | 92,509,148 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,066 | py | # Auto-clustering, suggested by Matt Terry
from skimage import io, color, exposure
from sklearn import cluster, preprocessing
import numpy as np
import matplotlib.pyplot as plt
url = 'http://blogs.mathworks.com/images/steve/2010/mms.jpg'
import os
if not os.path.exists('mm.png'):
print "Downloading M&M's..."
... | [
"panhtran249@gmail.com"
] | panhtran249@gmail.com |
16620636c556a91a3c0e8574830ea3e9a9f2ee90 | 9db2c871d1715d4068cc638458e573d58567d0f2 | /labs-neural-networks/hw-lab6/mnist-improved.py | 5e91ede4c5f63b28357f13c39b6c2de7769a6ad3 | [
"MIT"
] | permissive | xR86/ml-stuff | ec2bff6e57aaa89ca8740cece562a4e7b8cfe685 | 2a1b79408897171b78032ff2531ab6f8b18be6c4 | refs/heads/master | 2021-05-01T10:36:22.362741 | 2021-04-08T22:22:20 | 2021-04-08T22:22:20 | 63,726,853 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,159 | py | import cPickle, gzip, numpy as np
f = gzip.open('mnist.pkl.gz', 'rb')
f2 = open('matplot-text.txt', 'w+')
train_set, valid_set, test_set = cPickle.load(f)
f.close()
print 'train_set length: ', len(train_set[0])
epochs = 1
learning_rate = 0.1
class MLP(object):
def __init__(self):
# Layer init =>
... | [
"9412441+xR86@users.noreply.github.com"
] | 9412441+xR86@users.noreply.github.com |
9fdf1fcd02e82e69e482cbdf80c02a24fcb02aef | 01200401ef046a917df1205268fa92f23cfd28d8 | /tests/test_histogram.py | f59279d6ed0771159428df32ce8d3a52d8e06d3d | [
"BSD-3-Clause"
] | permissive | murodin/pyclesperanto_prototype | 5fa8922dcbbc98aa69e1aab779c62a326a6937d7 | 4687e3085a5f8bc12e798bf25acd295ee249fb5e | refs/heads/master | 2023-01-20T14:34:47.858014 | 2020-11-30T11:56:47 | 2020-11-30T11:56:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,534 | py | import pyclesperanto_prototype as cle
import numpy as np
def test_histogram():
test = cle.push_zyx(np.asarray([
[1, 2, 4, 4, 2, 3],
[3, 3, 4, 4, 5, 5]
]))
ref_histogram = [1, 2, 3, 4, 2]
my_histogram = cle.histogram(test, num_bins = 5)
print(my_histogram)
a = cle.pull(my_his... | [
"haesleinhuepf@users.noreply.github.com"
] | haesleinhuepf@users.noreply.github.com |
eac4f52c73cf9c889363316c2fbb245274207d84 | 713711cce4d1ab1bd17439d9ab7913c0147a54f7 | /pyton.py | 4facf2c583a18183b4885f5e92a1d9b4c0eaf771 | [] | no_license | IliaLuksha/labs | eb05a0cdb2438d56b77df4b8a02d9c7d61b5d4a4 | 220bc86f272d0cddf83b9888847190a4c742ddd5 | refs/heads/master | 2021-07-24T08:22:20.035558 | 2021-06-08T20:43:01 | 2021-06-08T20:43:01 | 252,173,233 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 241 | py | def fibonachi(n):
numb = 1
if n > 2:
numb = fibonachi(n - 1) + fibonachi(n - 2)
return numb
number = input('Enter the number: ')
number = int(number)
answer = fibonachi(number)
print(' sequence element = ' + str(answer)) | [
"ilich.02@yandex.ru"
] | ilich.02@yandex.ru |
e43483e4f83e7c1f95abb3cc02b7dce519a7661a | b0f0f72f60f4d0524a696eb67818f7bdec64f8fd | /places/migrations/0004_auto_20200827_1343.py | 7457b304f34cd3240427202b307ba3e875942940 | [] | no_license | denisorionov/where_to_go | 7fa9c15a831f32a7e8ac1e59775b58ddb44aeecd | 54107ce61de9a08cf61e3768a6f6de04cb549a4b | refs/heads/master | 2022-12-18T21:56:28.200461 | 2020-10-01T04:47:58 | 2020-10-01T04:47:58 | 290,710,605 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 373 | py | # Generated by Django 3.1 on 2020-08-27 10:43
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('places', '0003_image'),
]
operations = [
migrations.AlterField(
model_name='image',
name='img',
field=mode... | [
"orionovdv@gmail.com"
] | orionovdv@gmail.com |
ab074c76f1cd3c7b21498b686f78ed8ea7f39077 | 0fa7eaca5da443628461b429d7d1bcb4f2cbb7e2 | /code_review.py | 100be4af32af533c7020f3c01c313700c50a09d0 | [] | no_license | Boehrer/technical-screen | f45b285c143c9fca63c17c5359787cdd748171a6 | b4144b2a8041a8b9bf9d491caf900d94e3673bd3 | refs/heads/main | 2023-08-13T22:27:20.771354 | 2021-09-22T19:00:49 | 2021-09-22T19:00:49 | 356,362,445 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,855 | py | import unittest
import pandas as pd
ETLS = {
"us_spending": {
"steps": [
{
"function": "download_csv",
"args": {
"path": "https://www.usgovernmentspending.com/rev/usgs_downchart_csv.php?year=1990_2026&state=US&units=b&view=2&fy=fy21&chart=F0... | [
"jack@kevalaanalytics.com"
] | jack@kevalaanalytics.com |
afad18cb8a7156f474cc091590422f26708cce8a | 417a35ad8b20c4ef5a8f1f346163811e514b84d6 | /app/main/__init__.py | 8cb55b9004a6418394bef59469386a16ab5ff076 | [] | no_license | Heaveniost/Flask_Web | c045fb783f8d200ddb7ef2f5c742136eed5f1e04 | c14438f9743b6b60055cc7c1871156350cc61c5d | refs/heads/master | 2022-12-12T21:38:52.217316 | 2018-06-23T03:33:58 | 2018-06-23T03:33:58 | 136,014,275 | 1 | 0 | null | 2022-12-08T02:17:44 | 2018-06-04T11:19:06 | Python | UTF-8 | Python | false | false | 216 | py | from flask import Blueprint
main = Blueprint('main',__name__)
from . import views,errors
from ..models import Permission
@main.app_context_processor
def inject_permisssions():
return dict(Permission=Permission) | [
"304090717@qq.com"
] | 304090717@qq.com |
757d03bce27b39fac9e2f1c38ab480780eb5d862 | 9194df1ff1de9425af605b84e59334832b577de8 | /litter/q2.py | 16daa943a2990f67c257b6f0688299d35672ff92 | [] | no_license | wuc6602fx/ws | 42aa8b7fcdd460b6847694be7d3d093b5067abfd | 3b2da54dc031c299e5908225464bf8d8a8b4ffc3 | refs/heads/master | 2021-09-14T22:26:06.081344 | 2018-05-21T08:48:42 | 2018-05-21T08:48:42 | 107,844,541 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 785 | py | #ques2
from collections import OrderedDict
#tuple
myTuple = list()
with open('example.csv') as f:
for line in f.read().splitlines(): #avoid \r\n
myTuple.append(line.split(', '))
myTuple = sorted(myTuple) #by alphblet
myTuple.pop(len(myTuple)-1) #remove header
print 'Tuple = ', myTuple
#dict
scores = [x[2... | [
"cat5530xm@gmail.com"
] | cat5530xm@gmail.com |
731b016384695c7fbf09a1241bfce9fa6e6acf50 | 2ca90c4da88dd233fd1102d75c6a023263c1d891 | /netbox/netbox_inventory.py | 1633f238f3270a58cfed414e4e1e9ccdcc59026f | [
"Apache-2.0"
] | permissive | mtbutler07/netcfgbu | 499b93d7ee346e6a01dfc10929894d569dc68db6 | d3c5945f50f49c9e646fda47954bd92014282087 | refs/heads/master | 2022-10-07T19:51:17.790289 | 2020-06-10T00:46:29 | 2020-06-10T00:46:29 | 271,167,326 | 0 | 0 | Apache-2.0 | 2020-06-10T03:12:32 | 2020-06-10T03:12:31 | null | UTF-8 | Python | false | false | 4,296 | py | #!/usr/bin/env python
#
# This script is used to retrieve the device inventory from a Netbox system and
# emil the CSV file to either stdout (default) or a filename provided
#
# The following Environment variables are REQUIRED:
#
# NETBOX_ADDR: the URL to the NetBox server
# "https://my-netbox-server"
#
# NET... | [
"noreply@github.com"
] | mtbutler07.noreply@github.com |
936a5b37ef17d1036536797c91be42c6e52793c9 | 58563dbe063c2ed612a59ca78a99faa3611a0144 | /SteetVector.py | 19144468c684db0a1d91347e644adb8443ef6333 | [
"MIT"
] | permissive | DieuwerH/AE3537 | 13b2f087a0af6414460be3c3cbcfe1079e978acc | 3957a58374b5783725565fc874ed1829c6208106 | refs/heads/master | 2020-04-07T14:27:43.658590 | 2019-02-14T19:17:29 | 2019-02-14T19:17:29 | 158,448,405 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,392 | py | import numpy as np
import datetime
import time_helper
class StateVector:
def __init__(self, pos=np.array([0, 0, 0]), vel=np.array([0,0,0]), time=datetime.datetime.now()):
self.pos_eci = np.array(pos)
self.vel_eci = np.array(vel)
self.time = time
self.pos_ecef, self.vel_ecef = self... | [
"dieuwer.hondelink@gmail.com"
] | dieuwer.hondelink@gmail.com |
59a80fd32689ab9609a62db3fbe8835124d957d7 | b36eace4a335f2518988f5929ffdba6e48c9e97e | /mysite/settings.py | 81460bc3bd4c4677073bbf0441cd2810bd8e8926 | [] | no_license | berkyaglioglu/Post-Sharing-Application | d3c4187a8b05cf34c65fee5cc90ab6b85740e754 | c169af6d27dd55ea711207e3e4b04cc61e678dca | refs/heads/master | 2020-06-22T22:42:56.720956 | 2019-08-01T08:40:04 | 2019-08-01T08:40:04 | 198,419,497 | 0 | 0 | null | 2019-08-01T08:40:06 | 2019-07-23T11:46:57 | Python | UTF-8 | Python | false | false | 3,318 | py | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 2.0.6.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.0/ref/settings/
"""
import os
# ... | [
"berkyaglioglu@sabanciuniv.edu"
] | berkyaglioglu@sabanciuniv.edu |
b9ad5d3f538a6de721c9603acde868d0da3788d0 | bc167f434158921bcf2c678155c5cdfec1c9b0c9 | /PI_code/simulator/behaviourGeneration/firstGenScripts_preyHunter/behav388.py | 2b4f02b7722c2854864b1dddca35aacd975e7d93 | [] | no_license | s0217391/DifferentProjects | 6450efc89c64ecd21b86c705737e89e5c69433a6 | 7f4da153660817b6cbf72d2e823aa29c0c2f95a9 | refs/heads/master | 2021-01-17T02:58:46.219240 | 2015-05-26T22:45:46 | 2015-05-26T22:45:46 | 34,995,164 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 663 | py | #!/usr/bin/python
import sys
def compute(prey):
temp0 = prey[0] + prey[1]
if temp0 > prey[0]:
temp1 = min(temp0, temp0)
else:
if prey[1] != 0:
temp1 = prey[1] % prey[1]
else:
temp1 = prey[1]
temp0 = max(prey[0], temp0)
temp0 = temp0 - temp1
if prey[1] != 0:
temp2 = prey[0] / prey[1]
else:
temp2 ... | [
"i7674211@bournemouth.ac.uk"
] | i7674211@bournemouth.ac.uk |
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