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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f860ee32e82f769adc4d151c529e2bb447209bee | 2c8f662a105dac59f4c5511191cf62db137348ed | /set6/challenge46/rsa_parity_oracle.py | b0184133eb20d818383b750fc605fa7bd291dc3b | [] | no_license | sayx1/cryptopals | 5154d4e10d63ea51f4dedd85a80dd6cb5fa57130 | b78ec1b02da2c43c7c16e41cc74b270a41dd41de | refs/heads/master | 2023-01-12T23:22:10.825159 | 2020-11-19T08:21:05 | 2020-11-19T08:21:05 | 291,901,384 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,568 | py | rsa_parity_oracle.py | import gensafeprime
from base64 import b64decode
from Crypto.Util.number import inverse,bytes_to_long,long_to_bytes
from gmpy2 import f_div
import math
def gen_keys():
'''
generates public and private key for RSA encryption
with crypto safe prime numbers (1024 bits)
returns -> ( publi... |
27d72a572f15ccb1cfd224c38f4b619322e70501 | 490cd642d522ab512ab435580ea92bbae789414c | /tdepps/utils/phys.py | 3c3a5ba78f8394f694936a1af5f173d01483d416 | [] | no_license | mennthor/tdepps | c4f86d11e61b99c1e27d6df2a8f013ea8f1c0a78 | 100035f95321506057677806d25f1695cfea58a9 | refs/heads/master | 2021-09-22T21:05:21.801613 | 2018-08-06T09:38:26 | 2018-08-06T09:38:26 | 90,803,720 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,915 | py | phys.py | # coding: utf-8
"""
Collection of statistics related helper methods.
"""
from __future__ import division, absolute_import
from future import standard_library
standard_library.install_aliases()
import sys
import numpy as np
from astropy.time import Time as astrotime
from .io import fill_dict_defaults, logger
log = l... |
fd23536f9e671508bda4b5f39c1342f4100b601a | 796c298d2382a16861ecd5064fe16752494f1deb | /Codes/Section 2_Code.py | b1576000ca83996b7e9b9c5c873c3a9a52b23342 | [] | no_license | ArunSudhakaran/Database-and-Analytics-Programming | 3068d84a76f87906f75a174d2ee731fea3c25b24 | dde9576e50baf73267ae6e38284c3ac3b4e40780 | refs/heads/master | 2022-12-17T14:01:46.357411 | 2020-09-22T23:40:37 | 2020-09-22T23:40:37 | 297,796,158 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,565 | py | Section 2_Code.py | #!/usr/bin/env python
# coding: utf-8
# In[4]:
import pymongo
from pymongo import MongoClient
import json
import pandas as pd
import pprint
from pandas.io.json import json_normalize
import numpy as np
# MONGODB CONNECTION
client=MongoClient('mongodb://localhost:27017')
#CREATE DATABASE IN MONGODB
population_db=cl... |
e80082c4153404df6cf6e45894fbe7e350bc38f0 | 35a59798df079c4553743e4505e1df6824dd3473 | /TP2/jguwekarest/autoscale.py | 51b232087414858b9742985dce8a2f087bcf1e23 | [] | no_license | heyitsmik/LOG8371 | 005c694831d1ece46051ae7278980d26f931c3c4 | 1ee2177c8300592e8bee895ee34bf56d01a2c716 | refs/heads/master | 2020-04-18T00:08:03.417780 | 2019-03-28T15:44:07 | 2019-03-28T15:44:07 | 167,064,250 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,677 | py | autoscale.py | # -*- coding: utf-8 -*-
import subprocess
import time
CPU_THRESHOLD = 80
CPU_THRESHOLD_DOWN = 5
INIT_TIME = 10
class Container:
def __init__(self, name, cpu_usage):
self.name = name
self.cpu_usage = float(cpu_usage)
self.init_time = time.time()
def update(self, cpu_usage):
se... |
232b068107ec746bdec79c4aac6c15c77a66736f | 4b9a204be08f142ab775a54f2561a587c70366ea | /standardize.py | 1d072826e432efbc31dcd12d19377f39abc2570b | [] | no_license | ngminhluong/Lab01-DataMining | d2bc897ee559d41872e0606c096b22ea2b0a07f8 | ddd5a9c0a11ce2cd53d9df52f0e02f21a566b970 | refs/heads/master | 2023-09-03T03:52:42.781260 | 2021-11-18T14:39:23 | 2021-11-18T14:39:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,586 | py | standardize.py | '''
7. Chuẩn hóa một thuộc tính numeric bằng phương pháp min-max và Z-score.
'''
from math import sqrt
import pandas as pd
import argparse
import sys
import re
def mean(col):
'''calculate mean of one column
Parameters
-----------
col (...): 1 column in a dataframe.
Returns
------... |
0e84d13e7898f33d46246ed67f1a3d78936427bb | dff4ca341f1c8dc97265f94fabb6f1e49cdaa43a | /Project4/stomp-test.py | dec80ae90c46ba48c8db5e3edd0f45d99fff462d | [] | no_license | Ksld154/Intro.-to-Network-Programming | 4f9eed6cdfe7cabe9cc6bd90565f1f32960b98e1 | 078c8ae394fec6ba6dbb19d6091b599f0f552fd4 | refs/heads/master | 2020-03-28T20:45:06.480733 | 2019-03-16T09:26:29 | 2019-03-16T09:26:29 | 149,098,369 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 574 | py | stomp-test.py | import time
import sys
import stomp
class MyListener(object):
def on_error(self, headers, message):
print('received an error %s' % message)
def on_message(self, headers, message):
print('received a message %s' % message)
conn = stomp.Connection(host_and_ports=[('localhost', 61616)])
conn.set_l... |
c0a7cd070868ca94028631893e1677557ffbbec4 | f94b979aaa3ff54070053c27ca36cd8a731e5172 | /greatest_integer.py | db7fdde610d3e1f45b85b5d45132a3fc6d356586 | [] | no_license | Aditya-Ankur/Practice-Python | fd98b9fc64325920bdaa0ee80f8fa915f0a8fcf3 | 2e0a37ab11a9a35874b66f778762ffa231354fda | refs/heads/master | 2023-06-05T07:29:14.495322 | 2021-06-21T15:40:30 | 2021-06-21T15:40:30 | 357,598,748 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 494 | py | greatest_integer.py | #this will return the greatest integer of some real number
greatestInt = lambda n : int(n // 1)
def recursion():
try:
num = float(input("Enter a number : "))
print(f"Greatest Integer of {num} : {greatestInt(num)}")
except Exception:
print("You are a fricking fool, get lost")
ex... |
432ded3f4aa52a7dbc2239f2c8f5d21b92641b74 | 53e510f15261483f494d188f056808fcf4b2dd64 | /pricelocationalgo.py | 64ddc27b79eff1f454be615ef94a7875fd34470e | [] | no_license | Cheese-5040/python_projects | c9d3d054235c60fcde3fa715d05a6bb5b1a0a6f2 | f7d74545cc9529149527cced770feb6bbd5c3d80 | refs/heads/master | 2023-04-13T10:22:58.042010 | 2021-04-15T08:27:53 | 2021-04-15T08:27:53 | 274,085,679 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,315 | py | pricelocationalgo.py | import numpy as np
import scipy
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
# pip install ppprint
from pprint import pprint
from pymongo import MongoClient #import the client from backend
from sklearn.model_selection import train_test_split
from sklearn import metrics
from sklearn.metrics ... |
7171934d444e2024e7796cea399bad991d753d1b | f88ad901731330cd8e55b2eb4fcfd76a05ed7da7 | /core.py | 30c3b8a1261d1ad03844a2340136bddb6f4be183 | [] | no_license | dberenbaum/santorini | 68559189aa013ea114f3d7b16e4ce47b8e3bdb9e | f92c925c7b17e489deba9fe88bfea636bffe973c | refs/heads/master | 2021-05-26T07:04:11.398003 | 2020-10-23T23:44:21 | 2020-10-23T23:44:21 | 127,836,436 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,206 | py | core.py | import collections
import itertools
def xchar(x):
"""Convert x coordinate to character representation."""
return chr(x+65)
class Space(object):
"""Board space."""
def __init__(self, x, y):
self.x = x
self.y = y
self.level = 0
self.player = None
def __str__(self)... |
89d1b3d2be3682784ca15cd0be700875e431a462 | 70eca663a27e9c8de47a539a1e288f11c1cf0a7d | /DICEgame.py | d671fa94263e407dbe4f805205b0e447cc0f6f90 | [] | no_license | eliyahoo957/pythonProject | 49f1fbad6dbfa5f997d1d75a57c290a51cb4a91a | a501a19c75f262161cdb9f28cc63a3e95741c857 | refs/heads/master | 2023-07-16T09:08:32.384895 | 2021-08-31T14:28:02 | 2021-08-31T14:28:02 | 397,884,185 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 743 | py | DICEgame.py | from time import sleep
from random import randint
money = int(input("this is a game of dice(: every throw cost 3$\nhow much money you have? "))
print("you can to throw:" + str(money//3) + " times\n" + "your change: " + str(money%3))
prise=0
for x in range(money//3):
num1=randint(1,6)
num2=randint(1,6)
prin... |
b2a507dcb28df894c6fd350113dfe3a8eb6e20f9 | 86c27cf01d91ff8990e5a6fb02870bfa0ae7ee98 | /Middle.py | ab92a1070791371cbc78c724a148a29646555c0d | [] | no_license | GodlyGaben/Cat | ac637ccbb89ee9926a5ff1c29c2fd2223771179f | 51705b7a594c67a1b224c30bff089189bc4a3c16 | refs/heads/master | 2020-03-29T20:59:57.631628 | 2018-11-07T01:25:45 | 2018-11-07T01:25:45 | 150,343,424 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 138 | py | Middle.py | def wine(s):
x=len(s)
x=x-1
s1=s[1:x]
return s1
print (wine("Hello"))
print (wine("java"))
print (wine("coding"))
|
71fcfb07d3fa90bba8c6d12711cf6ed2d62a23a0 | 24b842bbb089e44ebc3ce6ffd4b8e36b1906331a | /requests/get.py | 18bf281dae289e18e2addf43c866886865b9ce27 | [] | no_license | Lapetina/python-521 | dc7f784e85f38651cc34d94274fd783dcb31b4e8 | 501b82ecf13ee1d62f52f224788601b4ea0933a1 | refs/heads/master | 2020-05-02T01:36:16.412267 | 2019-04-03T01:27:54 | 2019-04-03T01:27:54 | 177,689,003 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 308 | py | get.py | #!/usr/bin/python3
#Pegar o CEP do temrinal -> input
#Exibir apenas o logradouro -> ?
import requests
cep = input(str("Informe um cep: "))
response = requests.get('http://viacep.com.br/ws/{0}/json/'.format(cep))
if response.status_code == 200:
json = response.json()
print(json['logradouro'])
|
68686a62c3b99bd1acb4838e8ae1b7abaedac4fa | 8a7499db68f3ade890be0a7927bffc531d9e18f8 | /test/utils/test_misc.py | d34920cdf563168ce245d0c6e58f22604ef6bebf | [
"Apache-2.0"
] | permissive | JMatica/apitestframework | ea4a7745769d58fd7bf78fb7d28d063479297820 | 4e195a3a4862cf50562ed21a4564e14d66c712b5 | refs/heads/master | 2022-12-02T07:54:15.366272 | 2020-08-07T10:29:49 | 2020-08-07T10:31:37 | 285,787,763 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 7,638 | py | test_misc.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright 2018 JMatica Srl
#
# This file is part of apitestframework.
#
# 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.apa... |
cf48f2396d3ebfde7b482a92c1216f38294254e1 | 59bc8b722acd560841b681157e2c84989df939c2 | /filter/urls.py | d4699071f314e530caf452bcb7fa9cbbf4ea9c50 | [] | no_license | vicc-dssr/filter | 9e58af1123e10d9604b408929bdb52a6d743d428 | 969e55000dd42e5f2d417ba96fc91448f2800205 | refs/heads/main | 2023-05-05T02:21:56.441823 | 2021-05-25T20:42:59 | 2021-05-25T20:42:59 | 370,727,045 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,572 | py | urls.py | """filter URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based ... |
16f57bf2d0888fd4d5fdf84dc9a0952063f03459 | f7152e44bd767495cef0d0420e60998d55a1614c | /cdd_hca/cdd_read.py | 2185d7e3076ef0611536affad8bfeb0e08976ef2 | [] | no_license | Issa900/AP_Intern | c91f2891e338524ee57d5d0e5b08778d6f582640 | 8abc2f4583c99c83bfc2c86aeeb20b7f8c0b4597 | refs/heads/master | 2021-06-06T10:42:41.946111 | 2016-09-02T02:46:54 | 2016-09-02T02:46:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,918 | py | cdd_read.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os, sys
from collections import defaultdict
def read_cdd_outF (cdd_in, read_out):
"""summerize domain match in sequences by CDD scan in a output file
"""
domain_cdd = defaultdict(set)
with open(cdd_in, 'r') as cdd, open (read_out, 'w') as f:
... |
eb0223ad24c7ed003dba7395e49c54a0a1e54e18 | dec1094229f9cc96b733847b00e99d583c186927 | /lunch_and_learn.py | 5d0153b9451653bcbbdd26cb7c50dca59d57263d | [] | no_license | rongkaixu/demo | 348de9efbaee4b4f191e1ab8682cf93b54a46575 | 10968899f2bd594bd945ba65135edaee33a8f897 | refs/heads/master | 2022-12-19T18:13:57.400631 | 2020-09-22T17:45:34 | 2020-09-22T17:45:34 | 297,726,552 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,145 | py | lunch_and_learn.py | #Step 1: Import TensorFlow and Keras, the high-level API to build and train models in TensorFlow
# TensorFlow and tf.keras
import tensorflow as tf
from tensorflow import keras
# Helper libraries
import numpy as np
import matplotlib.pyplot as plt
print(tf.__version__)
input("Import done! Press Enter to continue...")
... |
e1713d15148aaa34be47314615f07acfae007746 | 6f67904e034ba4681e02de9639f24edd03956eab | /lumiml/examples/test_install.py | 63b74e81b6f53eff608012a1702c68a61beff2a0 | [
"BSD-3-Clause"
] | permissive | syyunn/lumiml | db69e042e5af6186101ad27a4f0ab9854eb2e939 | 7a36657c28ad3ed50dcae53597d6d582c93364de | refs/heads/master | 2020-11-29T21:57:56.240274 | 2019-12-28T11:56:58 | 2019-12-28T11:56:58 | 230,224,926 | 1 | 0 | null | 2019-12-26T08:22:38 | 2019-12-26T08:22:37 | null | UTF-8 | Python | false | false | 1,841 | py | test_install.py |
def TestInstall():
from ..base import DeltaBasisFeatures, TriangBasisFeatures, HistBasisFeatures
from ..models import PoissonElasticNet
from ..model_selection import PoissonElasticNetCV
from ..simulator import StretchedExponentialDistribution, Simulator
import numpy as np
# generate st_exp... |
e305794bce02d19fb9690a4ec11525c8261f9c2f | 90f89163cd07d58d88ba4845b5c87f0f2e3b5afb | /lotofacil.py | fd9eda4a712730ac7275eecadd774ac6346660e8 | [
"MIT"
] | permissive | kennyaires/lotofacil-crawler | 4f3d1c9cb0869cc9399f592500306b94081a2e8c | 2679954d0aeec1947b84c2a5dc6b157e5671331e | refs/heads/master | 2022-06-02T11:06:58.112883 | 2020-04-28T03:32:58 | 2020-04-28T03:32:58 | 259,521,618 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 689 | py | lotofacil.py | import requests
import csv
from bs4 import BeautifulSoup
url = 'https://asloterias.com.br/resultados-da-lotofacil-2020?ordenacao=sorteio'
html = requests.get(url)
bs = BeautifulSoup(html.text, "lxml")
if __name__ == "__main__":
result = bs.find_all('span', class_='dezenas dezenas_lfacil')
sorteios = []
... |
9133bfc6829f917a8ea077b8e8c094770860d3e2 | 04a812d1c3be6ac285f383fb0a00e1d5c73ffddd | /py100道题/py第90题.py | 50070b92ad9e494be160d6724d38092e54d53da2 | [] | no_license | Pinyk/study | e046e03e3c9096ef47b1221d0125f6293fbdf705 | 1051e4c3424bdab918421fb062cc6ca82b96d5c5 | refs/heads/master | 2022-12-27T00:11:05.468069 | 2019-11-14T13:27:56 | 2019-11-14T13:27:56 | 166,974,464 | 2 | 1 | null | 2022-12-16T09:44:31 | 2019-01-22T10:26:25 | Java | UTF-8 | Python | false | false | 80 | py | py第90题.py | import itertools
a="gao"
b=list(a)
c=list(itertools.permutations(b,3))
print(c)
|
cbcfd8705d42324e9ec41e4c7fd06fe853b03864 | bf5160ab7fd23869f9583bbf2e9332495a8fff83 | /setup.py | 93a0083479b71a36826164f3165450410605ab40 | [
"MIT"
] | permissive | yieldsfalsehood/rng_fdw | 247eac7f002a071248c3d865317378d98d3b6e8b | 31a181a6a912f0b1072c7ed9f09c5bd0afa052b8 | refs/heads/master | 2021-01-22T02:48:10.705931 | 2014-10-01T11:36:07 | 2014-10-01T11:36:07 | 24,596,153 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 179 | py | setup.py | #!/usr/bin/env python
from setuptools import setup
setup(name='rng_fdw',
version='0.0.0',
author='Elliot S',
license='Postgresql',
packages=['rng_fdw'])
|
32d91d1688876db04d4723fa84a3d6f4a4b63028 | 1a18cb3aaa4abc944dff36952d8e2d2f78f121aa | /classify.py | 6c7d9cbe89797ada4b92f6a3a936ad5968804bc2 | [] | no_license | pexmar/DSCNN_document | a3c1d5ce6a654efdabe7990e440632170ffbfb70 | b6a3943ac57ef5542314cafdf78ca8fc1ec34fc1 | refs/heads/master | 2020-12-30T13:09:09.500076 | 2017-06-30T13:49:48 | 2017-06-30T13:49:48 | 91,334,242 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,189 | py | classify.py | import argparse
import time
from keras.callbacks import EarlyStopping, ModelCheckpoint
from keras.models import load_model
from keras.preprocessing.text import Tokenizer
from os.path import join
from model import create_model
from os import path, makedirs, environ
from preprocessing_imdb import *
from w2v import get_em... |
505af1d0061ec6fb293459bf59303ba4d2af59c0 | de6c6e917c54795b3b7bf2e361f03d6d14712082 | /paintings_scrape/scrape_mnk.py | 2eacef6bb55de11a6bcd1d24a3a5fbe98502760c | [] | no_license | kubapi/ai_for_museums | 5483f8232d48b75874403e741730558304aa3c65 | c08172996bfaf9a296f2d24e874113b1dfb347f6 | refs/heads/master | 2022-07-01T15:09:39.271809 | 2020-05-12T22:22:04 | 2020-05-12T22:22:04 | 260,910,907 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,282 | py | scrape_mnk.py | from selenium import webdriver
import time
from bs4 import BeautifulSoup as Soup
from tqdm import tqdm
import pandas as pd
import random
driver = webdriver.Chrome("C:\chromedriver.exe")
url = "https://zbiory.mnk.pl/pl/katalog?filter=JTdCJTIyb25seUltYWdlJTIyOiU3QiUyMm5hbWUlMjI6JTIyb25seUltYWdlJTIyLCUyMnZhbHVlJTIyOnRyd... |
d2a313cc356d17c4172030ee06958fa24e8a5c36 | 92463bde8097b17d158c8eccf0755f5f6de333c3 | /Test.py | b6bd9b9407f0a9b6297a3c3bc07431059e5575d1 | [] | no_license | zibrahim/KDStackedPredictor | 7553a86ed25cd4d0ac9acd4898de4f9bfe3aa9cf | 8e37977ab74b525e749a4278467d7a6706fe1bc8 | refs/heads/master | 2022-12-29T06:25:40.684891 | 2020-10-11T13:55:50 | 2020-10-11T13:55:50 | 303,117,259 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,684 | py | Test.py | import os
import json
from Models.LSTMAutoEncoder.LSTMAutoEncoder import LSTMAutoEncoder
from Models.LSTMAutoEncoder.Utils import process_data, flatten
from Models.RiskScore.VisualisePopulation import DecisionMaker
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from pylab import rcParams
from... |
49c71db046304ea86efac9f78386df45393b332f | 05eb225a7fdb5f827ec2aab5de751bbd41d63d65 | /AcctNum.py | 49ffd814607c5db90c3df3ab388bc2ef50d926a7 | [] | no_license | ExpertSeahorse/DataScrubber | 219a12f2819a4b3ba7e73738f89f9c7a69d216c5 | 22fb01ef469c4255d912361f161bb3f215da9d08 | refs/heads/master | 2020-06-04T22:57:50.912623 | 2019-06-16T18:13:53 | 2019-06-16T18:13:53 | 192,221,909 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 674 | py | AcctNum.py | import re
import random
acct = re.compile(r'(\d{16}\s)')
name = []
with open('celebraties.txt', 'r') as names:
for i in names:
name.append(i.rstrip())
with open('BC460-Cloned.txt') as fin:
with open('OUTPUT.txt', 'w') as fout:
for line in fin:
if acct.match(line):
... |
504a264f67a3c9bc7fefac631e79840f2483989f | 348b15d1f8a0bbe96fc063c3f7ff5b929e94d28a | /myapp/handlers/data.py | d2715babc862ed64bd392572a70e02ffc6143683 | [] | no_license | tmarcy/letsfly | 19f845024e0a92678d88ae0a5a4ca9e169017ec6 | c8d771186c3476d4d9377816aa6e6411ba66a487 | refs/heads/master | 2020-03-18T03:37:41.802679 | 2018-05-21T09:41:26 | 2018-05-21T09:41:26 | 134,248,360 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,441 | py | data.py | from myapp import app
from flask import render_template, request, redirect, make_response, session
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField, PasswordField, BooleanField
from wtforms.validators import required, length, Email
import logging
import json
import urllib, urllib2
from myapp... |
5e5822b8ef42c0f81925046e8923bd96f83e0617 | b989431b05a924c7750021929adbd07a42d75637 | /bunnyhop/url_settings.py | bc4ae8edae6c1382cd755995402b538e827a67ac | [
"Apache-2.0"
] | permissive | jefford-qwigo/bunnyhop | d720e240ca918be66c9fa26293d555610f36dc2d | b039f1a713a234d02aae4d9371133768001095ff | refs/heads/master | 2023-02-10T18:29:48.482883 | 2020-11-08T21:10:42 | 2020-11-08T21:10:42 | 285,328,151 | 0 | 0 | Apache-2.0 | 2020-12-14T02:54:27 | 2020-08-05T15:18:21 | Python | UTF-8 | Python | false | false | 169 | py | url_settings.py | bunnycdn_url = "https://private-anon-6e7694596b-bunnycdn.apiary-mock.com/api/"
bunnycdn_storage_url = "https://private-anon-3bc35a36a9-bunnycdnstorage.apiary-mock.com/"
|
e769bbaa51398d48f64b1611c3cf3e2ff32c9b25 | 6e631bd7f138abb9f7eb0d936a8615287248b697 | /Home/DateandTimeConverter.py | cfe8e858af44353457d0ed44f6b9dc80228981c3 | [] | no_license | ankiwoong/Check_Io | 24494390a851fad91f173c5e81a4eedfad7cfe6e | f417dbf1c1cce316ca25d51d645e228e7b03bf9c | refs/heads/master | 2022-06-03T14:59:04.571112 | 2020-04-25T11:29:55 | 2020-04-25T11:29:55 | 254,514,447 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,781 | py | DateandTimeConverter.py | '''
Date and Time Converter
Computer date and time format consists only of numbers, for example: 21.05.2018 16:30
Humans prefer to see something like this: 21 May 2018 year, 16 hours 30 minutes
Your task is simple - convert the input date and time from computer format into a "human" format.
example
Input:
Date and t... |
899b602ab9947ca1ba617d99bd85dd9e8c413e45 | 26c7704ee79824addcf93e10f1dd0947a6dd6f5c | /gitTest1/DoubanMovie/pipelines.py | ee7bd591f29667fb88cffb0d8db3117e4739b4cc | [] | no_license | Wynne-nuo/production-practice | 69afcc950160b1249bedcab8eef4e6ca7a4ee579 | 2499828d6e03c3e299a9b637e3d8e8b9f25e568a | refs/heads/master | 2021-01-01T13:09:00.091399 | 2020-02-10T10:22:20 | 2020-02-10T10:22:20 | 239,293,061 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,249 | py | pipelines.py | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
#采集后数据的处理
import csv
import os
import time
import logging
class DoubanmoviePipeline(object):
def __init__(self):
p... |
0e856863c18b0935a8609982c76f1fa265c9ca5d | 978cac823628b6661d6e579ca0fdac5275a494c6 | /histo_slow.py | 94966c773ea6912b606ef2f7fb44b7e885685532 | [] | no_license | mbirostris/technologiainformacyjna | af31facca58c87d0cdbd823ceaee842e53e14bcc | 60e111d8a66fb560f1fbdd702b2f1b0615db95cf | refs/heads/master | 2021-01-10T07:26:39.459043 | 2016-01-25T15:44:02 | 2016-01-25T15:44:02 | 44,103,387 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 626 | py | histo_slow.py | #! /usr/bin/python3
import numpy as np
import matplotlib.pyplot as plt
from sys import argv
f = open(argv[1])
l = []
for line in f:
l.append(len(line.strip('\n')))
f.close()
dl = np.array(l, dtype=np.int)
print(dl)
print('statystyki pliku {}:'.format(argv[1]))
print('liczba linii: {}'.format(len(dl)))
print('maksym... |
539bead471fa486638509b6076f07386896d6534 | d7b324dfc9fa74d951aa80be1e4190263a207fe6 | /app.py | 168e3600fc051329610e8056eaadc3290b5e80fe | [] | no_license | Jamshid-Mamatov/weather-with-city | b68df20ffa56010a4c2d16edc32283cf36640ebd | f6ece5f9bb64e1cbb0aacd675c5bc75e1101c024 | refs/heads/master | 2023-03-23T08:35:44.568700 | 2021-03-08T10:16:37 | 2021-03-08T10:16:37 | 345,339,329 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,425 | py | app.py | from flask import Flask,render_template,request
from pprint import pprint
import os
import requests
import json
import datetime
key=os.environ['key']
app=Flask(__name__)
@app.route("/")
def home():
content="weather home"
return render_template("home.html",content=content)
@app.route("/day")
def day_weather(... |
29f204d437c03d6dfb6534a34f5f0b04168a3399 | 28fb51d17c0f8561a27a0a62898ef765d4ab9b99 | /dojo/unittests/test_microfocus_webinspect_parser.py | 2aa468104ac52fa593d0f9a52f7f6f3e6be7d156 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | permissive | dsever/django-DefectDojo | bd5273e7a6492bd8edc509f25c4d5389b1f6d706 | 800e0f33556aae43fbb7af9ea0a7861cbe604689 | refs/heads/master | 2023-06-01T01:18:50.738550 | 2020-08-04T14:53:38 | 2020-08-04T14:53:38 | 272,365,571 | 1 | 0 | BSD-3-Clause | 2023-04-03T07:46:31 | 2020-06-15T07:01:51 | HTML | UTF-8 | Python | false | false | 1,176 | py | test_microfocus_webinspect_parser.py | from django.test import TestCase
from dojo.tools.microfocus_webinspect.parser import MicrofocusWebinspectXMLParser
from dojo.models import Test
class TestMicrofocusWebinspectXMLParser(TestCase):
def test_parse_without_file_has_no_findings(self):
parser = MicrofocusWebinspectXMLParser(None, Test())
... |
3699bae97dda4894fb36ca8a6df5cef169cb246c | 16e842bcb73638586d93c17e9838fb89bc2b60bc | /Module-9/9.2 Server/9.2.1 server.py | cf8f2314aaf70f5c00d0410660d4ea846f1b1e07 | [] | no_license | krupa-thakkar/Python | dcbda2fe8296ffdd25641cf1e039132f41e0e44e | cbf0ec0399084a9a0a4ba5cebe739580bff4ce06 | refs/heads/master | 2023-03-24T05:43:58.799704 | 2021-01-25T06:20:44 | 2021-01-25T06:20:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 395 | py | 9.2.1 server.py | # server side
import socket
serversocket=socket.socket(socket.AF_INET,socket.SOCK_STREAM)
host=socket.gethostname()
port=9999
serversocket.bind((host,port))
serversocket.listen(5)
while True:
clientsocket,addr=serversocket.accept()
print("Got connection from %s" % str(addr))
msg="Thnak you for connectin... |
0497f9f0c9614483eb5c8a9effa42be6925f90b2 | a394b1053f018ff8be63221c61682df03af4937b | /osf/migrations/0083_add_file_fields_for_target.py | e3cbdb11c92e4c057f0317001a1ab7d8792d5804 | [
"Apache-2.0",
"LGPL-2.0-or-later",
"BSD-3-Clause",
"LicenseRef-scancode-free-unknown",
"MIT",
"AGPL-3.0-only",
"LicenseRef-scancode-unknown-license-reference",
"MPL-1.1",
"CPAL-1.0",
"LicenseRef-scancode-proprietary-license",
"LicenseRef-scancode-warranty-disclaimer",
"BSD-2-Clause"
] | permissive | RCOSDP/RDM-osf.io | 81b11d9511f6248ec9bccb6c586b54a58429e1e7 | 5d632eb6d4566d7d31cd8d6b40d1bc93c60ddf5e | refs/heads/develop | 2023-09-01T09:10:17.297444 | 2023-08-28T04:59:04 | 2023-08-28T04:59:04 | 123,298,542 | 12 | 24 | Apache-2.0 | 2023-09-12T08:58:28 | 2018-02-28T14:46:05 | Python | UTF-8 | Python | false | false | 1,109 | py | 0083_add_file_fields_for_target.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2017-10-12 17:36
from __future__ import unicode_literals
import logging
from django.db import migrations, models
import django.db.models.deletion
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
class Migration(migrations.Migration)... |
2f6fc5525ae94267e281216f33338f9f4bbe9257 | e9a92b53fd21c688a2cfbf094fcc1caf24a2d6ed | /cryptography/affine_shift_cypher.py | c5a5b10139d01e5797e6afb942321f2ac4abc45d | [] | no_license | skytreader/programming_praxis | 64fdb10ca08a24f30a299353cff197d241efe00b | f75500a8f235c439b3bf9a7a70efe7bab80a40f8 | refs/heads/master | 2021-01-17T08:44:32.033363 | 2016-06-13T18:52:38 | 2016-06-13T18:52:38 | 6,104,687 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,421 | py | affine_shift_cypher.py | #! /usr/bin/env python3
import string
import unittest
"""
http://programmingpraxis.com/2009/12/15/affine-shift-cipher/
UNFINISHED
All indices are zero-based.
"""
def to_letters(numlist):
"""
Returns in uppercase.
"""
return "".join([string.ascii_uppercase[i] for i in numlist])
def to_numbers(letter... |
02c8cd5c41d56e783f73c87fdde00b3b61765408 | 0252f89a995e99e49d8ca228d8a96bed090f44ce | /robot_project/robots/views.py | d90017f22a5569bd63c7e16cdef0c1500b15f203 | [] | no_license | ismasanchez/robot_adoption | 61c37534bc2ab2c915aa81900852cd268562bfe7 | f225084648c6ca9bb702197ca79cef1e2394d451 | refs/heads/master | 2020-03-26T22:22:17.984601 | 2018-08-20T19:08:04 | 2018-08-20T19:08:04 | 145,453,079 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,111 | py | views.py | from flask import Blueprint, render_template, url_for, redirect, request, jsonify
from robot_project import db
from robot_project.robots.models import Robot
from robot_project.robots.forms import AddForm
robots_blueprint = Blueprint("robots", __name__, template_folder="templates")
@robots_blueprint.route('/add_robot... |
1246e36e875c360058f5ef9e968f21d9da25d37d | 836aa70c6db27618d6b0e76d5bd5ae3ad02472f4 | /find_best_factor.py | baf8b453f59bbc7574b8be75dd49baafb032df42 | [] | no_license | pletelli/EmbedViz | 9171be9493d0af76e841653e4c5ae4a5c3bd47f3 | 9a6591320ee13720736083a49969f1c86fbba608 | refs/heads/master | 2021-01-19T20:21:44.350147 | 2013-06-05T12:34:11 | 2013-06-05T12:34:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,719 | py | find_best_factor.py | #!/usr/bin/python2.7
from rsvd import RSVD,MovieLensDataset
import matplotlib.pyplot as plt
import numpy as np
def findFactorsAndErrors(ratingsDataset):
ratings=ratingsDataset.ratings()
# create train, validation and test sets.
n = int(ratings.shape[0]*0.8)
train = ratings[:n]
test = ratings[n:]... |
f711b64a3da22b0da38684efad7efd951b6750be | 6a60968d28d78aa610ea1568ea27be75188113fd | /14-11-19_pallindrom.py | 041e188e24b3011ddfce740ef72bfa2e4687a982 | [] | no_license | majumder-man/Python_files | c002044174c4cfe23b1dd94ee8487dfa90d37824 | 04c69d829100f43f1143144880d4a0ab3c290780 | refs/heads/master | 2020-09-07T04:59:05.636117 | 2019-12-15T04:30:37 | 2019-12-15T04:30:37 | 220,662,785 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 173 | py | 14-11-19_pallindrom.py | string1=input("Write a word: ")
string2 = string1[ : :-1]
if string2==string1:
print("It is a pallindromic Word")
else :
print ("It is not pallindromic word")
|
03d743328d205b53c5188ac1958a1cb43e13276a | a14a1d9f625870a9066d156a1310e08bbc69e396 | /Assignments/A08/old_tv.py | 5de7eddfe6114c621fc830334a9879fe68739f16 | [] | no_license | dcortez0817/4883-Software-Tools | 5624a0f43eadac7fb3dee20bf200c098ff1053c2 | c0ad065966afb9cc26113b3dc8bec94890aa60a9 | refs/heads/master | 2020-04-28T14:20:25.325905 | 2019-03-07T02:56:48 | 2019-03-07T02:56:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,471 | py | old_tv.py | #!/usr/local/bin/python3
import sys,os
os.chdir('/Users/griffin/Code/Courses/1-Current_Courses/4883-Software-Tools/Assignments/A08')
from PIL import Image, ImageDraw
from image_package.color_functions import color_distance
import glob
import random
def tv_pixel(draw,x,y,rgb):
x *= 3
y *= 3
red = (rgb[0]... |
3535393c0922d1db761120dd47add9cfee5366a3 | 30917a1f400c67b48c8ef6bfaf67022628bf2d6a | /Largertable.py | 2d80ab5f0faecc75b987973264a31efad663fb3b | [] | no_license | mailyathish/PGDevops | e399dc603220a51f9eca2efd66f720bba3434a75 | ed146c1d07d1ec4236d13fdd5964419b7ac70f17 | refs/heads/master | 2023-06-17T07:12:13.720615 | 2021-07-11T15:25:04 | 2021-07-11T15:25:04 | 384,743,509 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,676 | py | Largertable.py | from reportlab.lib.pagesizes import letter, A4, landscape
from reportlab.lib.enums import TA_JUSTIFY, TA_LEFT, TA_CENTER, TA_RIGHT
from reportlab.lib.styles import ParagraphStyle, StyleSheet1
from reportlab.lib import colors
from reportlab.platypus import Frame, PageTemplate, KeepInFrame, Paragraph
from reportlab.lib.u... |
d77bea29c7a9ac876d5e99af92c7b9a4d7e7efb7 | 9bc542566b5409267fb00ca9e0993cca27f46b7b | /layer/conv2d.py | 14e7a30099475c054dd07c1707f59ff15c7a8b8b | [] | no_license | FateScript/numpy_deeplearning | 67d40354ae9994743c24b05196fe22f83c95b303 | e2bb2eac1bf82772dcf540b8120e864262e0fdda | refs/heads/master | 2020-05-30T16:35:14.681722 | 2019-06-05T11:36:59 | 2019-06-05T11:36:59 | 189,849,189 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,091 | py | conv2d.py | #!/usr/bin/python3
# -*- coding:utf-8 -*-
import numpy as np
from IPython import embed
class Conv2d:
def __init__(self, k_size, in_channel, out_channel, stride=1, padding=0, bias=True):
self.weight = np.random.normal(size=(out_channel, in_channel, k_size, k_size))
self.weight_grad = np.zeros(sel... |
ef6f55bf27982f53441215da6822cfcdc80706a5 | 43b6073870f3b40990d5f99cfdba4e526b441bb7 | /DjangoBookTest2/views.py | 5b79494f8f9fdb7cd3afea8a4a7169bc68b5c7d9 | [] | no_license | YZhuAndrew/DjangoBookTest2 | 8ed1e0f36e241365d083044c31a673471f8aa47d | 2c3e69a19c38b71ccaf6fef0934c3794384d89bd | refs/heads/master | 2016-09-05T23:26:41.875192 | 2015-01-08T14:08:09 | 2015-01-08T14:08:09 | 28,968,773 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,049 | py | views.py | # -*- coding: utf-8 -*-
__author__ = 'Yun'
__project__ = 'DjangoBookTest2'
# from django.template import Template, Context
# from django.template.loader import get_template
# from django.http import HttpResponse
from django.shortcuts import render_to_response
import datetime
def current_datetime(request):
# now ... |
e8226ab6be5c21335d843cba720e66646a2dee4e | 8fca3e1f7779d18a0729c6910eec9cf80e6a88f4 | /JAXapp/populate.py | ce420ee0f4d0f238024d7302e21442f57c0c92db | [] | no_license | pvdri/JF5-Analytics | 8de7b66ed9960d8d84e7dfb89504b6da1f8013a3 | 7410a148a6494e6806ba02cb74241f870a619974 | refs/heads/master | 2021-01-19T06:06:39.987096 | 2016-06-05T15:15:17 | 2016-06-05T15:15:17 | 60,284,806 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,270 | py | populate.py | import os
import requests
import sqlite3
from models import analytics, jcanalytics
def populate():
url = 'https://api.clicky.com/api/stats/4?site_id=100716069&sitekey=93c104e29de28bd9&type=visitors-list'
date = '&date=last-30-days'
limit = '&limit=all'
output = '&output=json'
total = url+date+limi... |
e616d14827beaa08ab08219421cbf7990cf163fd | 5a52ccea88f90dd4f1acc2819997fce0dd5ffb7d | /alipay/aop/api/domain/AlipayInsSceneEcommerceInsureCheckModel.py | 824c674242972410f7e6a918a6a53dc1ce95c41b | [
"Apache-2.0"
] | permissive | alipay/alipay-sdk-python-all | 8bd20882852ffeb70a6e929038bf88ff1d1eff1c | 1fad300587c9e7e099747305ba9077d4cd7afde9 | refs/heads/master | 2023-08-27T21:35:01.778771 | 2023-08-23T07:12:26 | 2023-08-23T07:12:26 | 133,338,689 | 247 | 70 | Apache-2.0 | 2023-04-25T04:54:02 | 2018-05-14T09:40:54 | Python | UTF-8 | Python | false | false | 3,884 | py | AlipayInsSceneEcommerceInsureCheckModel.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.InsureAdmitDTO import InsureAdmitDTO
class AlipayInsSceneEcommerceInsureCheckModel(object):
def __init__(self):
self._insure_admit_dto_list = None
self._partn... |
c4ca4b5c77c3c912b44a4853be30298ec845c4fd | c5ce5c923eab5298a12b0e2c416e8353772fd154 | /app.py | 04a506f6a8fdc369c387f77f53b12a3de44ecbac | [] | no_license | Nemuun/emuu | 5c6d495a54f1c70dd68eaaa1ce5a302339563580 | b3b8f41818b173b2e00e1b1c851605d8ff43ed83 | refs/heads/master | 2020-12-21T01:42:56.147992 | 2020-01-26T06:15:26 | 2020-01-26T06:15:26 | 236,269,724 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 391 | py | app.py | #str
owog="Delger"
# len()- urt
# lower()- jijigruuleh
# upper()- tomruulah
# capitalize()- ehnii useg tomruulah
# replace()- temdegt solih
print(owog.find("e"))
print(owog.count("e"))
print(owog[2:10])
a=21
b=21
if a>b:
print("a too ih")
elif a==b:
print("tentsuu")
else:
print("b to... |
050e2207ac7331444d39305869c4b25bcbc53907 | be8de33e48e6d5d98c8caad897cbae558f85337f | /practice3.py | 2ce809a89fb977b855d43df0a9603d2004bb6e7a | [] | no_license | chizbob/ML100 | 35aac4ce8b5eda0bbdcda5135c73902563e97b13 | a9b30cabcc0e7443376fc4abe426bdefa9c0df9b | refs/heads/master | 2021-05-25T21:04:54.930961 | 2020-04-09T05:23:30 | 2020-04-09T05:23:30 | 253,916,020 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 968 | py | practice3.py | import pandas as pd
from sklearn.preprocessing import MinMaxScaler
#loading data from CSV
training_data_df = pd.read_csv("sales_data_training.csv")
test_data_df = pd.read_csv("sales_data_test.csv")
#scaler
scaler = MinMaxScaler(feature_range=(0,1))
#scale both inputs and outputs
scaled_training = scaler.fit_transfor... |
df64d769ffba8cddac34282a526122e3c941249d | a623ba768aac053d523d903a111d58bc0b79dc03 | /bin/irank-export | 46fb88626c819e23cc5975f9127985de315252e8 | [] | no_license | afcarl/python-irank | 3369939be1622e59bc45a05796c88d88b5e3a504 | e23502f7f99f48c46a1c7b5e4ba68a837a352b37 | refs/heads/master | 2020-03-21T06:35:21.229825 | 2018-04-05T01:46:03 | 2018-04-05T01:46:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,406 | irank-export | #!/usr/bin/env python
import os
import tempfile
import shutil
import math
import sys
import subprocess
from irank.config import IrankOptionParser, IrankApp
from irank import db as irank_db
STATUS = 0
def main():
p = IrankOptionParser('%prog -d DEST playlist_name [playlist_name ...]')
p.add_option('-d', '--dest', he... | |
21b295e28a7e4443ea116df1b22ff5074dca955a | ab278798c1a6ebe1c24df542074accbff858126a | /sission2/session2_intro.py | c487151dc20cb4d9e5b3a10171f52ccaf2f8c140 | [] | no_license | nguyenducmanh1206/nguyenducmanh-fundamental-c4e21 | 475fcf5696f3496db55c42a31f2495bf615780d1 | 68b8b8912203f62f35c361f55cf80b8065677e83 | refs/heads/master | 2020-03-26T20:26:41.220184 | 2018-08-28T06:27:44 | 2018-08-28T06:27:44 | 145,324,091 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 78 | py | session2_intro.py | n =int(input("nhap gia tri"))
for i in range(1,n+1):
print(i) |
93737e4c409d0efb1ae2263cb60d4b03d9aad0d8 | d7f91c58027f412eabb9f7f9568f9ec911377bf0 | /sort_directory.py | ec12039f1690abeae23a1a5509029c154b4def82 | [
"Apache-2.0"
] | permissive | PradyumnVikram/Directory-Sorter | 9a8942592cef2acb7ae4f162c15c0061e3429af5 | 3c5887abfd545a03e8aacd59d20fde72182f9c2e | refs/heads/master | 2022-06-24T03:25:37.684991 | 2020-05-10T18:27:09 | 2020-05-10T18:27:09 | 262,849,761 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 734 | py | sort_directory.py | import os
import shutil
import argparse
ap = argparse.ArgumentParser()
ap.add_argument('-D','--dir', required=False, help='Directory to sort')
args = vars(ap.parse_args())
if args['dir'] == None:
DIR = os.getcwd()
elif os.path.exists(args['dir']):
DIR = args['dir']
for file in os.listdir(DIR):
if not os.... |
b5611c668a40e1735c92d6d00867885023ad713f | c1c5cc7bf2e149d37bee38c777555a9ecb702a70 | /test.py | abbb1e5ede0fc4ee8b9b4f51a1c2107b4b1aba32 | [] | no_license | sdfs1231/algorithm | 2dd77a49cc5d9686e3fc395d78207d1416f53a0c | 2699e88e90dd08d128059dfa8a2dfb0b2ff23617 | refs/heads/master | 2020-07-29T12:45:05.238268 | 2019-12-04T17:22:16 | 2019-12-04T17:22:16 | 209,807,180 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,115 | py | test.py | target=[]
with open('IntegerArray.txt','r') as f:
target=f.readlines()
for x in range(len(target)):
target[x]=int(target[x])
def f(A):
if len(A)==1:
return 0
else:
rightStart=len(A)//2
leftArray=A[0:rightStart]
righArray=A[rightStart:]
B,b=count_and_sort(leftArray)
C,c=count_and_sort(righA... |
09f032301fa9389f6b07687e0ee13844e0b4ddf3 | c9b9d457ffaad7d9a157ae8323fa357de53ba923 | /fabfile/config.py | 9577604c032487e4e4d137998124237bf8c53b2d | [] | no_license | mmenafra/app-control | ec492d9f27071aaa4083bfe5745f4abc50663337 | b92dbbb071daaa21e6e757783756058111bf7411 | refs/heads/master | 2016-09-10T22:17:17.204718 | 2013-04-20T20:14:09 | 2013-04-20T20:14:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,046 | py | config.py | from artichoke import DefaultManager, Config
from artichoke.helpers import read, prompt
from fabric.api import env, task, run
import os
chars = ''.join(chr(c) if chr(c).isupper() or chr(c).islower() else '_' for c in range(256))
class MagicDefaultManager(DefaultManager):
def __init__(self, env):
self.en... |
ab93b3ba86982843dd9197dccd1862a77e234ee5 | f9b0f5e0474198c184d2d37b5f31851ee0ca5c96 | /Exam Review/Q6.py | afc9c995a9c7dec0c185535f774bf2fa6fb84f74 | [] | no_license | Ti1mmy/ICS-201 | 2d4cf954152b33757dc6bb0d94f246c22d79b838 | 1e33fc832e5e1e0553a7d20bd2e38ddb885f623d | refs/heads/master | 2022-07-09T06:49:59.953938 | 2019-06-12T16:55:50 | 2019-06-12T16:55:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 300 | py | Q6.py | """
Given some string, create a new string that is a copy of the original string
but without vowels. Use a loop to do this.
"""
string = (input('Please type in a string: '))
vowels = ['a', 'e', 'i', 'o', 'u']
for vowel in vowels:
string = string.replace(vowel, "")
print(vowel)
print(string) |
5ce74ee1d11d4f536864b759ee03fdcfb62068d4 | 038f501725f4435b07bbcd711c8ae1e2b9e3db92 | /socialite/apps/linkedin/tests.py | cce6e56a5597f9b6666bdf97e736e26c3eec8527 | [
"MIT"
] | permissive | dpnova/django-socialite | 54510534271185f5f06d98462be5d5508dbd1fbb | 4ec4efd43d2e54ca533143c4db1788dd6b0f896a | refs/heads/master | 2021-01-17T06:56:29.882804 | 2012-09-09T09:06:52 | 2012-09-09T09:06:52 | 1,030,134 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 195 | py | tests.py | from django.test.testcases import TestCase
class TestLinkedInOAuth(TestCase):
def test_authenticate(self):
resp = self.client.get('/auth/linkedin/authenticate/')
print resp |
0a5d319305c70bffe84a5b9de32ef95e941cc1db | 7eea52a1e52f949076a96d707e528da14f4bbb32 | /foxes/utils/plotly_helpers.py | f984beb0dc051f715631843324f638fa8ba64bf2 | [
"MIT"
] | permissive | FraunhoferIWES/foxes | 94a71381219aae33e95b9f0991c3c1a086248c89 | 65b01a4d33c40065d1b19900d8238b173700653c | refs/heads/main | 2023-08-08T08:31:11.559340 | 2023-07-31T13:04:17 | 2023-07-31T13:04:17 | 486,452,507 | 14 | 4 | MIT | 2023-09-05T13:17:02 | 2022-04-28T05:02:11 | Python | UTF-8 | Python | false | false | 369 | py | plotly_helpers.py | import plotly.io as pio
import io
from PIL import Image
def show_plotly_fig(fig):
"""
Displays a plotly figure in a window
Reference:
https://stackoverflow.com/questions/53570384/plotly-how-to-make-a-standalone-plot-in-a-window
:group: utils
"""
buf = io.BytesIO()
pio.write_image(fi... |
55b2e78dcb34fa33bcafa6d557a7e34f647bd50e | 85a9ffeccb64f6159adbd164ff98edf4ac315e33 | /pysnmp-with-texts/CISCO-LWAPP-AAA-MIB.py | b0a29c94db5af51b3d11d0fb9fe6905b4c703561 | [
"LicenseRef-scancode-warranty-disclaimer",
"LicenseRef-scancode-proprietary-license",
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | agustinhenze/mibs.snmplabs.com | 5d7d5d4da84424c5f5a1ed2752f5043ae00019fb | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | refs/heads/master | 2020-12-26T12:41:41.132395 | 2019-08-16T15:51:41 | 2019-08-16T15:53:57 | 237,512,469 | 0 | 0 | Apache-2.0 | 2020-01-31T20:41:36 | 2020-01-31T20:41:35 | null | UTF-8 | Python | false | false | 44,086 | py | CISCO-LWAPP-AAA-MIB.py | #
# PySNMP MIB module CISCO-LWAPP-AAA-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-LWAPP-AAA-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:04:47 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default... |
0e1616aa115a60140b1892546be9599ded280d8a | 8e7dc681f8d83bc301986243c7f6dc95f90afeca | /options/19-callbacks_for_validation.py | d285152594d046941a12fb741baba502b9241fb7 | [] | no_license | dimitriacosta/click-examples | 4f6a1fc39018a780aec6fe554bd36b174d89704e | bdd56649bc6d6a15a660d55867ef953c1acb22ad | refs/heads/main | 2023-08-17T20:18:02.098419 | 2021-10-15T00:02:48 | 2021-10-15T00:02:48 | 347,313,945 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 657 | py | 19-callbacks_for_validation.py | # pylint: disable=C0103
"""
Click callbacks from validation
"""
import click # pylint: disable=E0401
def validate_rolls(ctx, param, value): # pylint: disable=W0613
"""Validate rolls"""
try:
rolls, dice = map(int, value.split('d', 2))
return dice, rolls
except ValueError:
raise cl... |
6a699b1662cb85c9c670e82c2fdeb2f73680199e | c13283faa134d15792a2fa59f07426a309b83bd9 | /tests/test_hvacbuilder.py | 1faf00dd4b7c75ad8d11767dc71bb90b20590090 | [
"MIT"
] | permissive | santoshphilip/eppy | 29b5b29a54a9132b3cd6c1f65fdc5f5ddb6ac30c | 0d99f8be881e7cf998208edb5e86c0654aaf5dc8 | refs/heads/master | 2023-07-08T19:18:12.245366 | 2023-06-30T02:16:41 | 2023-06-30T02:16:41 | 6,002,572 | 141 | 70 | MIT | 2023-04-05T22:52:01 | 2012-09-28T20:17:52 | Python | UTF-8 | Python | false | false | 25,396 | py | test_hvacbuilder.py | # Copyright (c) 2012 Santosh Philip
# =======================================================================
# Distributed under the MIT License.
# (See accompanying file LICENSE or copy at
# http://opensource.org/licenses/MIT)
# =======================================================================
"""py.test fo... |
d4d07fbd63f776c112deb07a72bd3ab958fef48c | 50a06da34fd4eb2d6295f217c7f8df4972bb4757 | /tools/ConvStorage/scripts/recreate_database.py | a736ba419841f3209e171163bc90cb69c4a5c40d | [] | no_license | dormouse-jenny/smart_parser | 4ef05b6e392e5d7dc0d0dd887712a11038c810d1 | 1954822935ab9154edbdee8d000442758604a731 | refs/heads/master | 2022-12-05T21:32:26.655260 | 2020-08-20T05:28:17 | 2020-08-20T05:28:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 771 | py | recreate_database.py | import argparse
from ConvStorage.conv_storage_server import TConvertStorage
import logging
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--input-folder", dest='db_input_files', default='db_input_files')
parser.add_argument("--converted-folder", dest='db_converted_files', default... |
7cb7e195b100c0073f6688bd43221ed42b3c27f2 | 74e30f17f31ad87c474867f891189240f2023ebc | /Clustering/code.py | 218b02a432cf344db079a7a48ff5f7c53c1e075f | [
"MIT"
] | permissive | nish700/ga-learner-dsmp-repo | 60c8f4a6f2d5046b5b8804e7405acb77bed05d9e | b1618be5bede8002161e6c19ff9ce092e6ca8455 | refs/heads/master | 2021-07-15T01:34:30.068290 | 2020-08-31T12:50:40 | 2020-08-31T12:50:40 | 204,426,718 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,304 | py | code.py | # --------------
# import packages
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
# Load Offers
offers = pd.read_excel(path, sheet_name=0)
# Load Transactions
transactions = pd.read_excel(path, sheet_name=1)
transactions['a'] = 1
# Merge dataframes
df = pd.merge(lef... |
d80951a02e66f15a03757daa46a5d424dfa393f0 | b50c35421bd3533c8e0544f2c5c8774b541ee764 | /binominal tree by list.py | 56ad5b0f208830cd2c40a63d87c6175ac4223fbe | [] | no_license | ithelga/OptionMonteCarlo | a7559c704115ebfe7342fc29e69cb6befe17902d | 77f2080af560c7730fd641e6d17c86694f09c6d2 | refs/heads/master | 2023-04-07T00:43:46.988470 | 2021-04-19T13:03:32 | 2021-04-19T13:03:32 | 359,461,844 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 983 | py | binominal tree by list.py | import time
from pympler import asizeof
import random
start_time = time.time()
N=1000
total=0
def calcut(s, c):
list = []
list.append(s)
prcUp = random.uniform(0.08, 0.12)
p = random.uniform(0.4, 0.7)
prcDown = random.uniform(0.07, 0.1)
for m in range(c):
next = []
for i in ra... |
6c377f59c9d8a29aa149df47bf6ecde95f7824d0 | 553f5ed7d9252d5d16932e0d651465bc543b6900 | /general_com.py | b0612b0b9dcc8b2f994fec570bca5ebd052f880f | [] | no_license | IsaiahSama/Isaiahs_parade | 372142c334c3d230b2c52893c6bc1b34eaaff1da | 7e152faa4c06f25dd5e00221577a9bd02c4a99b3 | refs/heads/master | 2023-07-26T19:39:09.131215 | 2023-07-26T13:49:34 | 2023-07-26T13:49:34 | 286,758,330 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,387 | py | general_com.py | import discord
from discord.embeds import Embed
from discord.ext import commands
from random import randint
import asyncio
import random
import math
class afkuser:
def __init__(self, user, id, guild, message):
self.user = user
self.id = id
self.guild = guild
self.message = message
... |
0b1c9dc0eef0951ba28cc30bbcc597ccb1e83307 | 207d587bd9c233d0a653c555c45542cabd48ac38 | /old versions/testcode_forvsstudio.py | 9ee3998f7efc17e8ff263f669123c4998bd1e9f7 | [] | no_license | cutiebananaface/Thesis-code | d2bc9f930527884c2ff08f3a2210e6fe2b2f136b | b74535a199d5bf5e529d7a718a105b9b11c1b527 | refs/heads/master | 2022-11-23T06:35:35.908722 | 2020-07-31T23:49:33 | 2020-07-31T23:49:33 | 267,811,806 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 111 | py | testcode_forvsstudio.py | import numpy as np
import pandas as pd
arr = np.array(['hello', 'world'])
series = pd.Series(arr)
print(series) |
854261eb8821bdf4eab6f03da031f96cc12a3b43 | 71e70b6d0b7e70582aa955a8ba7950f2b5b85d0d | /Analytics and Data/Model_Training_Files/ModelTraining_RANSAC.py | 6f2844465365f27e08c9cb040028148a3bcb52e2 | [] | no_license | ryan-gr/predix-renewable | 693b9784a8e2f8c42283a12e46c4e444d1af7a9f | f90c33da0fa7444b2901719c1600192e7b175096 | refs/heads/master | 2020-03-27T19:06:37.892248 | 2018-09-16T10:00:43 | 2018-09-16T10:00:43 | 146,966,116 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,096 | py | ModelTraining_RANSAC.py | #alternate reg using RANSAC, doesnt work as well
from sklearn import metrics
from sklearn import linear_model
from sklearn.model_selection import train_test_split
import pandas as pd
import numpy as np
import pickle
df = pd.read_csv('../raw_data/DataPredix.csv',index_col=0)
DataForAugust = pd.read_csv('./DataPredixFo... |
7d6c83e7d1d8909bf08e1fcc2d4ba8c72a205617 | 20fd93736273f9905d95bc5bc07102a8c31ccacd | /demo/training_graph.py | 628821de581ad24a6be878831f3924735ba6c5bc | [
"Apache-2.0"
] | permissive | MaxInGaussian/ZS-VAFNN | df6fac08052178c498459d5f1798a5bc8b0df4e7 | d80846248eb244adf3c56560b15155d1682550cc | refs/heads/master | 2021-08-24T05:01:56.054737 | 2017-12-08T04:14:17 | 2017-12-08T04:14:17 | 107,205,647 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,902 | py | training_graph.py | ''' training_graph.py '''
import numpy as np
import tensorflow as tf
from SGPA_graph import build_SGPA_graph
from sklearn.neighbors import KernelDensity
## Computation graph for training
def build_training_graph(layers_width, n_basis, learn_rate, Y_std):
n_samples = tf.placeholder(tf.int32, shape=())
X = ... |
c892d6063ecb012fb9f5f51e4b13f700dc37c526 | 4b7bebcf64d565359c2ad9ce3fe1fda6330cb127 | /emmet/vasp/topology_summary.py | f30ed7aa77db116ab05b01caa4992931e1a4c940 | [
"LicenseRef-scancode-hdf5",
"LicenseRef-scancode-generic-cla",
"BSD-2-Clause"
] | permissive | montoyjh/emmet | 59c9e6be794ae899fba972bce4995f3a429607d0 | d7b8eeae6d1f3f4a250b9d46bb6e3e4a3ae00533 | refs/heads/master | 2020-07-09T19:53:02.360492 | 2018-05-15T20:01:48 | 2018-05-15T20:01:48 | 94,261,165 | 0 | 0 | null | 2017-06-13T21:50:00 | 2017-06-13T21:49:59 | null | UTF-8 | Python | false | false | 6,092 | py | topology_summary.py | import numpy as np
from pymatgen.analysis.graphs import StructureGraph
from maggma.builder import Builder
from maggma.validator import StandardValidator
__author__ = "Matthew Horton <mkhorton@lbl.gov>"
class TopologySummaryValidator(StandardValidator):
@property
def schema(self):
return {
... |
cfb4a28d4f0ed26e6e56cd2033c335eee75c0ff0 | 7722718c0e8d07a712e41c0310a9990144428333 | /upper_body.py | 59453aa705693cedef03902184100e4929e8c486 | [] | no_license | vaibhavgeek/smartmirror | dfdf30a1dfa8316c812b53d2ef64220eef0b0f93 | f968fdff2ad4f4f890da409f22d74caa5beb8b10 | refs/heads/master | 2020-04-16T06:35:48.374311 | 2019-01-13T11:53:28 | 2019-01-13T11:53:28 | 165,353,736 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 631 | py | upper_body.py | import cv2
import numpy as np
# sys
#simple upperbody detection
imgPath = input("image_path")
cascPath = "haarcascade_upperbody.xml"
# Create the haar cascade
upperbodyCascade = cv2.CascadeClassifier(cascPath)
img = cv2.imread(imgPath,0)
upperBody_cascade = cv2.CascadeClassifier('haarcascade_upperbody.xml')
arrUppe... |
20e13cf4058aa4c1587842751c22d7003dfa3659 | 8015f1c62a2cb4efd21aa8938336913bf8117868 | /bamap/ba3758.pngMap.py | 0b7eba8f55622c9b19bcc242a1502b6d3ecf9edd | [] | no_license | GamerNoTitle/Beepers-and-OLED | 675b5e3c179df0f0e27b42bf594c43860d03b9af | afe1340e5394ae96bda5f9022a8a66824368091e | refs/heads/master | 2020-04-20T00:09:47.122471 | 2019-04-29T04:59:35 | 2019-04-29T04:59:35 | 168,515,579 | 4 | 2 | null | null | null | null | UTF-8 | Python | false | false | 8,468 | py | ba3758.pngMap.py | ba3758.pngMap = [
'11111111111111111111111111111111111111111111111111110000000000000000000000000000000000111111111111111100000000000000000000000000',
'11111111111111111111111111111111111111111111111111111100000000000000000000000000000000111111111111111100000000000000000000000000',
'1111111111111111111111111111111111111... |
2102b62e52f23640664bf07fadf7b82b0ee292f6 | 2e5bda2c9812cd1669ba990762fd96dfc358940e | /Organization/Scheduler/Scheduling.py | 5f72a422f221da7b139e9cdd9cc9b50828c5cc1a | [] | no_license | mj-bvtc/pythonTest | 4fe66bdce084d241f2b2b7897bbe428c502fa08d | 310d3b7941529f3220be26270f97d48fe9dcb884 | refs/heads/master | 2021-01-22T18:15:14.349797 | 2019-12-06T17:07:06 | 2019-12-06T17:07:06 | 85,069,109 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,012 | py | Scheduling.py | class Task:
"""A clear objective with a start and end date"""
def __init__(self, title, objective, start=None, end=None, duration=None, complete=False):
self.title = title
self.objective = objective
self.start = start
self.end = end
self.duration = duration
self.... |
ff30328b97c994a4461d57c08fa088eddd3695a6 | 32e2c18eae22c0693d54c99aa8c500855c6961ed | /13.py | e01a331f7784832d4819e38f68070ec51c0f2bdb | [] | no_license | gbw-ops/gbw-ops | 5051a31d160b71a0afc860dcf35a7efcc7a67e1b | f5fcba8af9ac1f17c3761bbbe7fc15e08e02a72e | refs/heads/main | 2023-07-17T16:26:57.180400 | 2021-08-28T03:46:12 | 2021-08-28T03:46:12 | 328,089,289 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18 | py | 13.py | print(251 + 394)
|
b136628a5d35cc6ad057d812c8218258900647ae | fb0e7bf333ad1e220bde6691750e40c036443e9e | /QA_IRIS_automation-master/Python_Data_Discrepancy/Scripts/Obselete_Scripts/Institution_profile_hedge_fund.py | 67777ddab8a86164b98b881fa9c3f2107c196fa0 | [] | no_license | EricOQ4/QA_IRIS_automation-master | 3c0cf05cf4fd7139bcf5bb253d1ad5bc3362e57f | cd7ecca1a5dcaa20ef03983cc6a7365459806347 | refs/heads/master | 2021-06-30T05:58:48.822771 | 2020-02-10T15:42:44 | 2020-02-10T15:42:44 | 239,547,884 | 0 | 0 | null | 2021-06-15T16:03:45 | 2020-02-10T15:42:20 | Java | UTF-8 | Python | false | false | 2,299 | py | Institution_profile_hedge_fund.py | """
Checking if the all the institutions in the Hedge Fund list match as Hedge Fund
"""
import pandas as pd
import requests
import ssl
import json
import sys
import pymongo
from bson.objectid import ObjectId
ssl._create_default_https_context = ssl._create_unverified_context
def main(argv):
data = pd.read_csv("../Ex... |
a6f8329aec0d0445e00dbc853223e11388c98002 | 2c2fbf9183644ab043c2394766ad60d04a587afb | /raspi_mon_sys/Utils.py | c995864c40c2e0ba60bf9ccf12fea4451894dc0e | [
"MIT"
] | permissive | pakozm/raspi-monitoring-system | 1138b2b606d34b54e073741f0946cace43cc2fd1 | 193bf370186c8178dcc1954ee122258b0af4b35c | refs/heads/master | 2021-06-06T08:14:11.739445 | 2016-10-23T16:31:02 | 2016-10-23T16:31:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,597 | py | Utils.py | #!/usr/bin/env python2.7
"""Several utilities shared between different modules.
This module uses /etc/default/raspimon_auth to get a MongoDB connection URI:
mongodb://[username:password@]host1[:port1][,host2[:port2],...[,hostN[:portN]]][/[database][?options]]
"""
from email.mime.text import MIMEText
from uuid im... |
3374b30f78532054ce9e17c8a3690169fdd4229d | 08983fc47e24d224ed38a0f257078b2dc2faa55f | /Projects/FirstNN/MLP - Copy.py | 199a7c934f75faefd910a323c41726aa289751fe | [] | no_license | vanyamil/PersonalLibraries | b272c1e98eb2f0b338767f7408a4bfb88ad15d3b | ac4f8bc2e3d8c669efca8d75705592b4d8c18de6 | refs/heads/master | 2023-04-25T23:45:07.845800 | 2021-06-05T15:40:45 | 2021-06-05T15:40:45 | 110,909,305 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,123 | py | MLP - Copy.py | #Built for HackerRank's 'Office Prices' challenge
import numpy as np
from time import time
from numpy.random import random as rndarray
class RegLayer():
def __init__(self, numInputs=1, numNeurons=1, actType="sigmoid"):
self.weights = rndarray((numInputs+1, numNeurons))
self.size = numNeurons
self.setAc... |
069c081991874888abd6d8cefce523c3469e6b87 | c4a8ae8dc7a1ca947e50b13a5b06d470680c44d3 | /TP4/Ej2/hh_test.py | b05d068b15fbd153e4157e39a8c86be8188de6e6 | [] | no_license | AlanVek/TPS_MN | a2028939a747d032f8326f87734ed518abfbfd0d | 082feef16e69e4e49e74f422d4ab1ac90b27caad | refs/heads/main | 2023-06-04T17:58:17.760300 | 2021-06-28T23:39:09 | 2021-06-28T23:39:09 | 351,918,479 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 725 | py | hh_test.py | from Ej1.ruku4 import *
from Ej2.Hodgkin_Huxley import gen_hh
import matplotlib.pyplot as plt
def plot_hh(v_0, n_0 = 0, m_0 = 0, h_0 = 0, i_0 = 0, delta_t = .1, t_f = 200):
i = lambda t: i_0
t_0 = 0
x_0 = [v_0, n_0, m_0, h_0]
HH = gen_hh(i)
t, res = ruku4(HH, t_0, t_f, delta_t, x_0)
v, n, ... |
4f1df0688cf60612940ba527a93f904bde0c46ac | 9542df5e5dae74b81ff9ee928ea5bc49cfa645a6 | /app/exceptions.py | 2fc4613b17f32c893a9c6da232946f95869ee793 | [] | no_license | aaaandrzej/CV_Editor | 6503c5d00fa76ac70404d5cc44c09658c3d578fe | 30c0ea978ee44645c4e408a92c09e4c4d360fdd1 | refs/heads/master | 2023-02-23T14:43:30.407640 | 2020-11-09T11:50:45 | 2020-11-09T11:50:45 | 249,537,900 | 1 | 0 | null | 2023-02-08T00:00:13 | 2020-03-23T20:32:45 | Python | UTF-8 | Python | false | false | 139 | py | exceptions.py | class ExpiredTokenError(Exception):
pass
class InvalidTokenError(Exception):
pass
class MissingTokenError(Exception):
pass
|
90c0b14381fb0e2d72974512ce0c5fb45d3744de | 123fff3eca7cdfd3788db73f32bd2cff5b185f04 | /election/views.py | 4226e9c760b00090cfbbacb2c809ecfa69b5542a | [] | no_license | sherrywilly/DPL-election-app | 681d16446dfca85cca5ab7dbe1f4ee098db79a7a | 8f09feeeb46262c335098b040552696f56ba1a2f | refs/heads/master | 2023-08-01T03:43:05.729135 | 2021-09-17T12:53:37 | 2021-09-17T12:53:37 | 407,539,669 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,309 | py | views.py | import json
from django.db import transaction
from django.db.models import Count
from django.http import JsonResponse
from django.shortcuts import render
# Create your views here.
from django.views.decorators.csrf import csrf_exempt
from election.decorators import auth_user
from election.models import Vote, Candidat... |
858fbcaf353b724dcb84713a01c03e9c5b0100d5 | e46e203c2079abcb14db92fe06b2857ea1420584 | /app/cui/rss_config.py | 79551bb9472e93218eb08487ee1a3d6fb2f3f025 | [] | no_license | Heersin/ruadar | 1994fe00d6b7e2ec241b01fd60b95c7747db8be4 | 07428addf9cc3f0ab0c35fcb72c7749dd2690923 | refs/heads/master | 2022-04-24T18:11:06.016794 | 2020-04-18T03:46:48 | 2020-04-18T03:46:48 | 256,663,924 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 142 | py | rss_config.py | rss_file_path = "./app/cui/contents/rss_list.txt"
store_dir = "./contents/"
rss_list = "RuanYiFeng|%|http://www.ruanyifeng.com/blog/atom.xml" |
6ce5cd33ec98d39fd7b5a99413024b3628a417e4 | 481641e0179b5d416a7c48481455874767ae2575 | /Valid Anagram.py | b3e4087a9d613da3b32cca4fa717c1ffe7fb450b | [] | no_license | nixonpj/leetcode | 776dad03a9de43a8c046b1ea1bbb3dd5e9f256ca | de756337b11e578e25f6d0cc0c70a22ae0b8fdc5 | refs/heads/main | 2023-05-01T11:38:44.530120 | 2021-05-17T15:13:16 | 2021-05-17T15:13:16 | 304,484,517 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 487 | py | Valid Anagram.py |
class Solution:
def isAnagram(self, s: str, t: str) -> bool:
counts = {}
for char in s:
counts[char] = counts.get(char, 0) + 1
for char in t:
try:
counts[char] = counts[char] - 1
except KeyError:
return False
res = ... |
589d8ebd4309db8b06d00e910d6fe7da6eaf33f7 | efcbead704616292065b663b305ce410e0c56bfa | /certify/models.py | 780176ee920e689af4d69b2c699e17d1b4c28517 | [
"MIT"
] | permissive | benrpinto/ausimin | e117ddc61dd9495182de087114308d2a1d9e602a | 37d9879a729f637ff03d030168904737fd415776 | refs/heads/master | 2023-04-28T17:02:24.002852 | 2021-05-23T03:30:32 | 2021-05-23T03:30:32 | 283,147,176 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 188 | py | models.py | from django.db import models
from home.models import FeatureContent
# Create your models here.
class CertifyHeader(FeatureContent):
pass
class CertifyContent(FeatureContent):
pass
|
567c47f639f556e82c2d29c0f630fad5f0beeb4d | 193d45b86dd85d4f64e531ab781f0ad60524003c | /calc_compiler.py | e1f5222dd84208b6377fe6eaee0527e49ee289ad | [] | no_license | wsg36236/calc_compiler | 1a3d701f9fbdfc044bd058aba12ef11475258f3f | 5c9708acb9e4676112b7a6ad1bd05b0237bc74e5 | refs/heads/master | 2020-08-22T05:19:09.523486 | 2019-10-20T10:56:21 | 2019-10-20T10:56:21 | 216,325,485 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,421 | py | calc_compiler.py | #!/usr/bin/python
# -*- coding: UTF-8 -*-
###############################################################
#
# This script is used to
# Version : 1.0.0.1
# usage :
#
#
###############################################################
import argparse
import sys
from logging import basicConfig, DEBUG
from calc_syntax_tre... |
d5694ed235a19f1f6cdf66ecae47ade392b20313 | bea1dd0c508af776cb1717813ae72faaed2c17af | /Python Code/Violent Python/SSH Bots/nmap_nomad.py | b4df006ad6c81a13acf0dfed1c64434036005a4f | [] | no_license | sahle123/Personal-References | b34683dcfea84ebe7c2cbbd0e7abb1e7b5a3b5ff | 9bd615a6356f1f8c3eb34a326496ad611d06cf3d | refs/heads/master | 2020-12-11T17:08:11.423090 | 2017-02-14T10:17:52 | 2017-02-14T10:17:52 | 43,253,075 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,168 | py | nmap_nomad.py | # nmap_nomad.py
#
# Des: Port scanner that uses the Nmap module for
# the actual port scanning.
# Status: Functional - WIP
#
# Ref: Violent Python, TJ O'Conner (Modified)
#
# LU: 12/23/15
import nmap
import argparse
def nmapScan(tgtHost, tgtPort):
nmObj = nmap.PortScanner()
nmObj.scan(tgtHost, tgtPort)
state... |
867650bd7804e17d95c0f54307a6256026a4095c | ce910ae2233dd4303192bffcc87461180b6101ed | /Id97Demo/spiders/Id97Index.py | 184f18e3cb380c3edc84c3c5e721dea649f8292d | [] | no_license | thornbutterfly/Spider_Movie | d9585fe7bfa16d847a843aa0067944de4478ba2f | 08d3903aa533ae2680cfb2c183452a1e53938e03 | refs/heads/master | 2020-03-28T22:49:20.339137 | 2017-11-27T08:30:47 | 2017-11-27T08:30:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,687 | py | Id97Index.py | # -*- coding: utf-8 -*-
from scrapy import Request
from scrapy.spiders import CrawlSpider
from scrapy.selector import Selector
from Id97Demo.items import Id97DemoItem
import re
class Id97Movie(CrawlSpider):
name = 'id97'
host = 'http://www.id97.com'
allowed_domains = ['www.id97.com']
start_urls = ['ht... |
95f01ffb99af366686d0d3c27303360a715e5b76 | 1df35c541e4dff07c57598937ace4837f309372f | /wechat/page/test.py | daef83f287af1b80e654db571a36119255e907eb | [] | no_license | wagchu/FlaskProject | fe1823f0c078df54adae15064e3e08d410f7b604 | e122ff934a694af8c83bc84e54c032a2d61e1123 | refs/heads/master | 2021-01-21T11:56:50.751249 | 2017-05-19T06:07:41 | 2017-05-19T06:07:41 | 91,766,205 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 552 | py | test.py | import requests
from random import randint
from lxml import etree
from flask import Flask, request, make_response
import hashlib
url="http://www.qiushibaike.com/text/"
print("here1")
r = requests.get(url)
tree = etree.HTML(r.text)
contentlist = tree.xpath('//div[@class="content"]/span/text()')
jokes = []
#print("here... |
c22912e9f1214050733c3d7d86999ad9180cf933 | 0464e5ea665a4dc21a40f74e544d9ced01161bd1 | /jira/create_jiras.py | a9e160c07ddc02264b34bd6168e0ed3139fcc85f | [
"CC-BY-4.0"
] | permissive | cc10512/swdevelmodel | 51d129a4ae4f3bf8f0ecb8ca07cc337e9aec70c4 | 9d992688ad82063a9a1c0aea17e37ca54e37ad0a | refs/heads/master | 2020-12-15T16:56:47.858190 | 2020-02-15T23:13:36 | 2020-02-15T23:13:36 | 235,186,462 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,446 | py | create_jiras.py | #! /usr/bin/env python3
import logging
import subprocess
import shlex
import traceback
import json
debug = 0
issues = {
"issue summary": "issue description"
}
logging.basicConfig(level = logging.DEBUG)
apiToken = "..."
credentials = '"cascaval@barefootnetworks.com:{}"'.format(apiToken)
def runCmd(cmd, logg... |
12b7262159815e5b0fe6e4eff8d7f12c8f8c6c8c | 4784d0c918a75a1e0909ea329d724a18d63b1275 | /converters/__init__.py | 87dd3597162b1f373c3d87b9f1dffa1d5cce0ac6 | [] | no_license | billyninja/manga_feed | 84d3a613df2479fb372ea04cb795c3e71df1099b | 5f506bc74c665f8ba77843a167162cf78d4b5b4e | refs/heads/master | 2016-09-06T11:03:01.464025 | 2014-12-06T19:42:24 | 2014-12-06T19:42:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 204 | py | __init__.py | import sys
sys.path += ['/home/ventures/',
'/home/ventures/manga_feed',
'/home/ventures/manga_feed/converters',
'/home/ventures/manga_feed/tests']
print(sys.path)
|
68734126a44006a367d33fa9f57f4ada63d9016e | 09aa87c3b9dfcc8862551e8e8e0945290afd8bb7 | /answer/287.寻找重复数.py | d7843d7a1b0a37f5f76b46b91d34e2bbd1ffc192 | [] | no_license | mecthew/LeetcodeTop100 | 0e159aa39978298d9924d152aac95acff31f7b82 | 50b4fea1b0c1e359fa373f0018961ae5eb261034 | refs/heads/main | 2023-06-28T01:12:05.356273 | 2021-07-31T11:49:20 | 2021-07-31T11:49:20 | 352,072,603 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 635 | py | 287.寻找重复数.py | from typing import List
# Medium
# 要求O(1)空间复杂度,这里有个前提是num \in [1, n]，长度为n+1
class Solution:
def findDuplicate(self, nums: List[int]) -> int:
ans = -1
left, right = 1, len(nums)-1
while left <= right:
mid = (left + right) >> 1
cnt = 0
for num in nums:
... |
bcc99e55bbb2c6c0e5d5cddbd03fa64af65612f5 | 39db296ad715c7ab8d57547d6014364ed903ba95 | /predictor.py | fda3bf352d8f58802acb263e2278222c6600edb9 | [] | no_license | RamziAgou/BDAProject | af5fdb1835c3b8b8a6efe4eef91e881e20d1f00c | 060878c11812bb71ed50726c19789b11aeee44dc | refs/heads/master | 2023-02-05T05:25:22.165700 | 2020-12-30T22:21:03 | 2020-12-30T22:21:03 | 325,617,235 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,743 | py | predictor.py | import sys, os, re
import findspark
findspark.init()
from pyspark.sql.functions import col, udf
from pyspark.sql.types import *
from pyspark.ml import Pipeline
from pyspark.ml.feature import HashingTF, IDF, IDFModel, StopWordsRemover
from pyspark.ml.classification import RandomForestClassifier, RandomForestClassificati... |
d8794dbeaedf16eaafdf0f517060bf30b3ddd187 | 904c8f7a29b2466687046181a66333fa7487bad9 | /player_class.py | a60c103f597d93bd4d882bb844e48cf1ca441d0d | [] | no_license | TeaCup404/Snake-and-Bitches | 232e5fe817d2e6547e828e9f6bbdcdfc47f5407d | c74ba3c2b3a1424a26e6b93f932fc1f3ff376ba4 | refs/heads/master | 2022-01-05T06:04:33.652678 | 2018-06-12T07:52:18 | 2018-06-12T07:52:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,482 | py | player_class.py | import pygame
import socket
import select
from Tkinter import *
import easygui
import random
import time
class Player:
def __init__(self):
pygame.init()
self.Username = ""
self.places = {}
self.Players = {}
self.master = Tk()
self.entry = None
... |
6e42f397220d8176158a13a0a158f81361fd6a38 | 01d25e7a54e2550fe7ee3cc5239b2c9764f1dcce | /cat.py | cbc994f49ef5539d500dcd55d7622384fea8b9f7 | [] | no_license | luoluoxx0115/python_oop | 5b85dfbb2f1e3b66efc002bf2093ca101f47a866 | 6395fe2fa7139a03adb77e50c3be6fc83348c7c2 | refs/heads/master | 2023-03-02T22:07:41.169689 | 2021-02-14T09:04:12 | 2021-02-14T09:04:12 | 338,509,093 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,078 | py | cat.py | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
@Time ： 2021/02/13 14:00
@Auth ： luoluo
@File ：cat.py
@Description：
重写父类的 Animal 的__init__方法，继承父类的属性，
添加一个新的属性，毛发 = 短毛，
添加一个新的方法， 会捉老鼠，
重写父类的【会叫】的方法，改成【喵喵叫】
"""
from pyton_oop.animal import Animal
class Cat(Animal):
def __init__(self, name, color, age, gender):
... |
b3ed7014c049f0ad6ab4d7a52f73bfa5ae3f1443 | 4f4631bc9fac672badb5e98d0f8907b2eb56266b | /test/functional/feature_fork_choice_parallel_justifications.py | d22fc5cf08e95c980d3da21663cf3ab5eb612454 | [
"MIT"
] | permissive | Ruteri/unit-e | 28e4b0a9bf2cc5518ed6a9fb79191419d51db67b | d3d12508b915986841bd19c4dee9e50dd662a112 | refs/heads/master | 2020-05-15T04:32:21.220451 | 2019-04-17T16:25:03 | 2019-04-17T16:25:03 | 182,087,190 | 0 | 0 | null | 2019-04-18T12:51:34 | 2019-04-18T12:51:34 | null | UTF-8 | Python | false | false | 16,250 | py | feature_fork_choice_parallel_justifications.py | #!/usr/bin/env python3
# Copyright (c) 2019 The Unit-e developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""
Test fork choice rule between parallel justification forks
The following checks are performed:
1. node re-orgs t... |
a4046103bef39eba33bd2d0c219138cf886b8649 | 0260f18ba0e719f3de691f380653d96bf987c126 | /VRBApplication.py | 4c9c72b958734fe0b9b5bb7af539a940b7cf896c | [] | no_license | inf0mike/module_1 | b3f2f8f1d16d5e935f01b5c4d3c0bbc48d604565 | c58c3f86131bbab23b30734b117e4076ddb8da45 | refs/heads/master | 2023-07-01T15:03:34.394540 | 2019-11-01T09:40:44 | 2019-11-01T09:40:44 | 391,623,658 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 318 | py | VRBApplication.py | # Sports Village Registration and Booking System
# Prototype for Membership management
# Copyright 2019 Michael Stuart <mike@inf0web.com>
# Part of MSc Software Development 2019
from vrb.gui import *
import wx
if __name__ == '__main__':
app = wx.App()
frame = ManagerUI()
frame.Show()
app.MainLoop()
|
62203e360e4247600301ef7b421328de9438d83c | 7794857eaedc7a8bfabb766c0908b0d9d5a45519 | /a2/calc.py | 9781d1c21fcfc1bd56c33cdd0c4789e4f3a92ef2 | [] | no_license | AlRasheed/CS265 | e8f70ddd122491eb5a224e0722d02bc8fa045a23 | 5fd4e448e83866d28d1d7550fe03e741ad9334d3 | refs/heads/master | 2020-04-11T02:59:26.338086 | 2013-07-28T14:36:27 | 2013-07-28T14:36:27 | 20,338,289 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,225 | py | calc.py | #!/usr/bin/python
import sys
file = ''
def main():
if len(sys.argv) > 1 :
file = sys.argv[1]
fh = open( file, "r" )
for line in fh :
line = line.strip( "\n" )
line = "( " + line + " )"
print line
postfix = infix2postfix( line )
evaluated_postfix = evalPostfix( postfix )
print ' '.join( post... |
7e663921a5978a45b93681ebd83e4dc862b84425 | 11e1be54f893050e5e4e7e9058a741902de6853d | /main.py | abd3db70ad8b99f2dd3ba43e2c3fd6d7d1a755a0 | [] | no_license | statistics-exercises/central-limit-theorem-4 | 4738f18294752bbf127fc6b89c166a11ef386355 | 88010d48d858281abc679bf578b9a6df08663739 | refs/heads/main | 2023-01-06T15:34:25.841523 | 2020-10-31T14:00:14 | 2020-10-31T14:00:14 | 308,892,371 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 754 | py | main.py | import matplotlib.pyplot as plt
import numpy as np
def normal(mu,sigma2) :
# Add code to generate a normal random variable here
expectation, variance = 1, 0.5
indices, svariance = np.zeros(200), np.zeros(200)
val = normal( expectation, variance )
n, ssum, ssum2 = 1, val, val*val
for i in range(1,200) :
# Add ... |
376aa40b82bf341498ce5e0be0d2a872e96e86ec | 8f410ad83ef085d2c00ce62ea346cce451548866 | /highlow.py | d2b84f76b8f006afd0f3dc0c7dc2eff5e04bcaa0 | [] | no_license | Xancett/RandomPython | a7c17909f8a22b5b304aab75cb658556a837ab2b | b2dfae8256b00a39e8bdb7fcde02ff49f35bc6b1 | refs/heads/main | 2023-02-27T13:25:00.530197 | 2021-02-09T14:28:59 | 2021-02-09T14:28:59 | 337,430,362 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 450 | py | highlow.py | import random
def PlayGame():
turns = 0
number = random.randint(1, 101)
while (turns < 5):
guess = int(input("Enter a guess: "))
if (guess > number):
print("Too high")
if (guess < number):
print("Too low")
if (guess == number):
... |
f5f18c67cdc961347597f4e13aad74bf75a46ada | 77a3bfde9c7d8c16b52081bc11a7cade75e971a8 | /stestr/repository/abstract.py | c992c4f9d89271efcd2608bac09ebe378dbb05d1 | [
"Apache-2.0"
] | permissive | mtreinish/stestr | 8fcbe90564212deae8a3f5778920aad925819f5a | d24afcaf5e9a9677a47a4968e99067496e81ef86 | refs/heads/main | 2023-08-03T19:25:01.604076 | 2023-04-07T21:38:19 | 2023-04-07T21:38:19 | 74,060,146 | 25 | 42 | Apache-2.0 | 2023-09-07T23:01:16 | 2016-11-17T19:27:58 | Python | UTF-8 | Python | false | false | 7,794 | py | abstract.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 th... |
abe49386ffeb6db4bdbbdc9bbb169e7a1e208393 | 32150af04590afe11f5c1229faf840e2e8c2a9ab | /Old Materials/Additional Github/Amitdeb008/IIT-CS584-Machine-Learning/Assignment 1/Solution 1/assignment1_Bhattacharya_Amitdeb.py | 940ed8185e31095bbd6d59f041056c6fff84cce8 | [] | no_license | nsbgit/IIT-S21-CS-484 | f595f67dd72e0c0f65f9cbaafe581ab41ea4cab3 | 1850f0e571d0c72d875baedf87aae3d6943af382 | refs/heads/main | 2023-05-06T23:26:30.687201 | 2021-05-31T23:40:22 | 2021-05-31T23:40:22 | 332,584,584 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 10,669 | py | assignment1_Bhattacharya_Amitdeb.py | #!/usr/bin/env python
# coding: utf-8
# In[88]:
#importing required python libraries
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
get_ipython().run_line_magic('matplotlib', 'inline')
# In[90]:
#importing given datasets
fraud_dataset = pd.read_csv("C:\\Users\\Machin... |
c4315e268c135b69e14a2f4cb92d20292c2f7955 | 7ce544a765666d290cbbf13394f93fe753a16284 | /seguimiento/migrations/0011_auto_20170107_1846.py | 58ea86ab622eeed03ce314e4de25293da929dd25 | [] | no_license | llovizna-labs/elcinaro-backend | 57ef6bf5616988bad97d73f460c65dd2fe5ea76a | a037bb25a366368d0c836687d71abed8a027124c | refs/heads/master | 2020-12-28T21:40:07.623458 | 2017-03-24T23:32:16 | 2017-03-24T23:32:16 | 68,340,646 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,297 | py | 0011_auto_20170107_1846.py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.4 on 2017-01-07 18:46
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('seguimiento', '0010_auto_20160915_2238'),
]
operati... |
8af42eae5a6c70c48452df713b612d448777c86a | 2a341178a7a204cc686c1529d2e9d4e810f53d0c | /week16/simplePlot_ubu.py | 9e5c8bec0fd8d9d5740f85066a71c80fe36438c4 | [] | no_license | AsterioM/FabAcademy | 7163322b9501fdc26db159a4d20cddbe49cfe293 | df3820e219b2e6c0d61ea7c35b9568954a95a08b | refs/heads/master | 2021-01-25T05:57:32.686349 | 2018-02-10T16:54:41 | 2018-02-10T16:54:41 | 80,715,419 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,357 | py | simplePlot_ubu.py | import serial
import matplotlib
import matplotlib.pyplot as plt
import time
import numpy as np
def plotea():
xdata = range(101)
# get serial port connection
ser = serial.Serial("/dev/ttyUSB1", 4800)
# create the list to store data
dataList = []
print(len(dataList))
while len(dataList) < ... |
94135b4ea3a6de7d4b90ef1793a3ad3fd3afc5d8 | 48ca6f9f041a1e9f563500c8a7fa04dbb18fa949 | /tests/core/test_infer_ftypes.py | 56dd60eab479df2fce13b2a3c065a91ccdd5b9a9 | [
"MIT"
] | permissive | bogdanvuk/pygears | 71404e53d4689ec9cdd9db546bfc0f229a7e02da | 705b11ab6de79868b25753fa9d0ce7128791b346 | refs/heads/master | 2023-07-08T11:38:54.625172 | 2022-03-07T12:29:00 | 2022-03-07T12:29:00 | 124,890,922 | 146 | 16 | MIT | 2022-08-15T07:57:08 | 2018-03-12T13:10:06 | Python | UTF-8 | Python | false | false | 3,406 | py | test_infer_ftypes.py | from pygears.typing import Int, Tuple, Uint, Queue, Any, Array, T, Number, Maybe
from pygears.core.infer_ftypes import infer_ftypes
def test_simple_deduction():
params = {'din': b'T1', 'return': b'T1'}
args = {'din': Uint[2]}
params = infer_ftypes(params, args)
assert params['din'] == Uint[2]
as... |
48de02c7f4cc0c4dcc544070238140b7a2943e50 | bae76a8e1d2fdefdd660f44b770ddbdb8184d682 | /check_item_page/item_page.py | 060b4b55cd9eab5236b34bb2814f6c331d4b6999 | [] | no_license | a-chernyshova/selenium_test_practice | 0024f32d1022bfb6f1fbdb87ae99b907a6dffa7c | 927b99e9a43f6e453348f9cd1db67d9e59b003bf | refs/heads/master | 2021-06-18T07:52:10.098499 | 2017-07-07T20:02:07 | 2017-07-07T20:02:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,391 | py | item_page.py | from selenium import webdriver
URL = 'http://127.0.0.1:8080/litecart/en/'
def find_items(browser):
page = browser.find_element_by_css_selector('div.middle')
elements = page.find_elements_by_css_selector('a.link')
return len(elements)
def parse_color(color):
# rgba(204, 0, 0, 1) - make list to compa... |
2e49e2779e67a8c8b389ee331c9b670048ab383b | 2937f5eb0152ac2429557368be63b8540cff6660 | /venv/FindDirected.py | cce01f0afa1a009b6d2f4411e48efee7fe5c2ad7 | [] | no_license | colingoodman/TwitterResearch | 307e38a766db70009dfba10e555c7109d261dc82 | ea778b502a1722cf8f05f2431f6f343ce43b106d | refs/heads/master | 2020-03-28T11:19:43.544271 | 2018-11-28T23:30:32 | 2018-11-28T23:30:32 | 148,202,370 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,365 | py | FindDirected.py | # Colin Goodman
# this file combs through a given user file and finds where other users have been mentioned
# 2018
user = input("User: ")
try:
file = open(user, 'r')
except FileNotFoundError:
print("Unknown user. Perhaps their file has not been made yet?")
exit()
loop = True
users_mentioned = [] # list ... |
dee5258d5a0b34d69cb5f0cd9f8b603c1ff4226c | ce76b3ef70b885d7c354b6ddb8447d111548e0f1 | /eye/do_government/eye_or_problem/government.py | b71d45a2918acf5393dd8018b21cc719953697d8 | [] | no_license | JingkaiTang/github-play | 9bdca4115eee94a7b5e4ae9d3d6052514729ff21 | 51b550425a91a97480714fe9bc63cb5112f6f729 | refs/heads/master | 2021-01-20T20:18:21.249162 | 2016-08-19T07:20:12 | 2016-08-19T07:20:12 | 60,834,519 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 238 | py | government.py |
#! /usr/bin/env python
def try_high_number(str_arg):
seem_last_place_on_child(str_arg)
print('government')
def seem_last_place_on_child(str_arg):
print(str_arg)
if __name__ == '__main__':
try_high_number('little_eye')
|