text stringlengths 8 6.05M |
|---|
# Copyright (c) 2011, James Hanlon, All rights reserved
# This software is freely distributable under a derivative of the
# University of Illinois/NCSA Open Source License posted in
# LICENSE.txt and at <http://github.xcore.com/>
import copy
import ast
from util import debug
from walker import NodeWalker
from liveout ... |
import pygame
# Constantes de jeu
MAX_TIRS = 5 # nombre maximum de boulets sur l'ecran
MAX_ALIEN = 3
PROBA_ALIEN = 17 # probabilité qu'un alien apparaisse
PROBA_HEAL = 95# probabilité qu'un heal pack apparaisse
NOUVEL_ALIEN = 12 # Rafraichissement de l'ecran entre chaque alien
ECRAN = pygame.Rect(0, 0, 1750,900)
S... |
try:
txt = input('Text something: ')
num = int(txt)
except ValueError as e:
print(e)
except EOFError:
print('You did EOF')
else:
print('You input:' + txt)
finally:
print('The End')
|
from django.core.management.base import BaseCommand
from django.conf import settings
import boto3
import botocore
import os
class Command(BaseCommand):
help = "backs up the current sqllite db on an s3 bucket"
def handle(self, *args, **options):
# get database
db_file = os.path.abspath(settings.... |
side = 5
Area = (22/7)*side*side
print "Area of circle is %s", %Area
|
from django.shortcuts import render
from django.shortcuts import render, HttpResponse
from django.contrib.auth.models import User
from django.contrib.auth import login, logout, authenticate
import json
from datetime import datetime
from guardian.shortcuts import assign_perm
from django.shortcuts import render
from djan... |
from numpy import *
from sigmoid import sigmoid
def sigmoidGradient(z):
# SIGMOIDGRADIENT returns the gradient of the sigmoid function evaluated at z
g = zeros(z.shape)
# =========================== TODO ==================================
# Instructions: Compute the gradient of the sigmoid function e... |
from .neuralnet import neuralnet
from .io import *
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import roc_curve, auc
from itertools import cycle
from optparse import OptionParser
from itertools import cycle
import random
#Setting options for arguments
parser = OptionParser()
parser.add_opt... |
import cv2
cap = cv2.VideoCapture(0)
# cap.set(cv2.CV_CAP_PROP_FPS, 10)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 640)
while True:
ret , inputImage = cap.read()
cv2.imshow(' frame ' , inputImage)
if cv2.waitKey(1) & 0xFF == ord ( 'q'):
break
# cv2.imwrite("outpu... |
import math
from util import create_array
class DCT(object):
N = 8
QUALITY = 80
QUANTUM_LUMINANCE = [
16, 11, 10, 16, 24, 40, 51, 61, 12, 12, 14, 19, 26, 58, 60, 55,
14, 13, 16, 24, 40, 57, 69, 56, 14, 17, 22, 29, 51, 87, 80, 62,
18, 22, 37, 56, 68, 109, 103, 77, 24, 35... |
import sys
from PyQt5.QtWidgets import QWidget, QApplication, QPushButton
from PyQt5.QtCore import QThread
class Loop(QThread):
def run(self):
while True:
print("Estamos no loop")
class MainWindow(QWidget):
def __init__(self, parent=None):
super(MainWindow, self).__init__()
... |
class Library(object):
def __init__(self):
self.shelf_list = []
self.book_list = []
def callShelf(self):
print "The shelves are categorized by: "
for x in self.shelf_list:
print x
print "for a total of ", len(self.shelf_list), "shelves in the library."
def callBook(self):
print "The books that we cu... |
#!/usr/bin/env python3
# Created by: Luke Beausoleil
# Created on: May 2021
# This program finds the sum of all integers from 1 - an inputted number
def main():
# this function finds the sum of the integers
# variables
loop_counter = 0
sum_of_integers = 0
# input
number_as_string = input("E... |
class Attr:
file_name = list()
file_attr = list()
def __init__(self):
f = open('list_attr_img.txt', 'r')
self.lines = f.readlines()[2:]
def parsing(self):
for line in self.lines[:200]:
line = line.rstrip('\n')
jpg_position = line.find('jpg')
... |
from subprocess import Popen, PIPE
import paramiko
import time
import sys
import getopt
from getpass import getpass
from Options import Options
from Processing.Steps import *
def stochastic_snapshot(snapshot_number, starting_round, n_round, table, probing_rate, options):
'''
Entire routine
:return:
'''... |
# If you add a new network you should append the network name and the object related
from networkNames import *
from Aeronet import *
from Ceilometer import *
# from Conaf import *
from DMC import *
from eSampler import *
from LaObra import *
from McPhee import *
from MeteoCamp import *
from MMA import *
... |
from django.urls import include, path
from . import views
app_name = 'riddles'
urlpatterns = [
path('', views.index, name='index'),
path('category/<int:pk>/', views.category, name='category'),
path('type/<int:pk>/', views.riddle_type, name='type'),
path('riddle/<int:pk>/', views.riddle, name='riddle... |
#!/usr/bin/python
import sys, re
if len(sys.argv) == 1:
sys.stderr.write("Usage: " + sys.argv[0] + " Not enough arguments")
exit()
elif len(sys.argv) > 3:
sys.stderr.write("Usage: " + sys.argv[0] + " Too many arguments")
exit()
elif not re.match(r'^[0-9]+$', sys.argv[1]):
sys.stderr.write("UsageL ... |
#! /usr/bin/env python3
import os
from glob import iglob
from collections import defaultdict
# data
# resum part
resum_part = ['lumi0', 'lumi1', 'lumi', 'll', 'nll', 'nnll', 'nllexpd', 'nnllexpd']
# Higgs processes
Higgs_case = ['WHbbar', 'ZHbbar', 'qq_tth', 'tottth', 'HWW_4l', 'HWW_tb', 'HWWint', 'HWWHpi', 'ggWW4l... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import unittest
import mock
from oauth2py.client import OauthClient
class TestTwitter(unittest.TestCase):
def setUp(self):
self.config = {
'name': 'twitter',
'client_id': '1234567',
'client_secret': 'secret_abcefg',
... |
from bfimpl.bfunc import generateId
PATTERN = """//Start:Declarations
Mat cv_close_%ID%(%ARGS%);
//Stop:Declarations
//Start:Definitions
Mat cv_close_%ID%(%ARGS%) {
Mat result;
morphologyEx(arg1, result, MORPH_CLOSE, arg1);
return result;
}
//Stop:Definitions
"""
def generate(n):
identification = g... |
def makeVerbDictionary(fileName):
verbDict = dict()
lines = []
with open(fileName) as tagged_file:
lines = tagged_file.readlines()
for i in range(0, len(lines)):
# print lines[i]
if lines[i].rstrip("\n").strip(" ") == "<vc>":
for j in range(i + 1, len(line... |
#_*_coding:utf-8_*_
from django.conf.urls import patterns, include, url
urlpatterns = patterns('',
url(r'^$','apps.kx.tongji.views.tongji',name='tongji'),
url(r'^tongji/$','apps.kx.tongji.views.tongji',name='tongji'),
url(r'^record/?$','apps.kx.api.views.record'),
url(r'^lan_record/?$','apps.kx.api.vie... |
import pandas as pd
from flask import current_app
from models import Base
from models import User
def __find_and_add_new_rows(connection, new_rows_dataframe):
current_app.logger.info(' - Adding new rows to master table')
new_rows_dataframe = new_rows_dataframe.where(pd.notnull(new_rows_dataframe), None)
... |
#!/usr/bin/python3
# -*- encoding: utf-8 -*-
'''
@File : testxshell.py
@Time : 2018/11/24 10:32:59
@Author : BaiYang
@Version : 1.0
@Contact : yang01.bai@horizon.ai
@License : (C)Copyright 2017-2018, Liugroup-NLPR-CASIA
@Desc : 交互式xshell
'''
import socket
import sys
import paramiko
has_termio... |
from config import cfg
import yaml
import os
def generate_surahs():
surahs_file = open(cfg['directory']['surahs_mapping'])
surahs_yaml = yaml.safe_load(surahs_file)
surahs = [surah for surah in surahs_yaml['surah_name']]
return surahs
def generate_qari():
qari_name = os.listdir(cfg['directory'][... |
def maxGameByWinner(N):
dp = [0 for i in range(N)]
dp[0] = 1
dp[1] = 2
i = 1
while dp[i] <= N:
i = i + 1
dp[i] = dp[i - 1] + dp[i - 2]
return (i - 1)
N = 10
print(maxGameByWinner(N)) |
################################################################################
# Copyright (c) 2021 ContinualAI. #
# Copyrights licensed under the MIT License. #
# See the accompanying LICENSE file for terms. ... |
from django.contrib import admin
from .models import Article, Comment
# Register your models here.
class ArticleAdmin(admin.ModelAdmin):
fieldsets = [
('Title', {'fields':['title']}),
('Author', {'fields':['author']}),
('Category', {'fields':['category']}),
('Publication Date', {'fields':['pub_date']}),
('B... |
__author__ = 'lpa'
import MySQLdb
import SQLDataCollector
import RedmineFormatter
print "script started"
#TODO externaliser les parametres de connection a la base
connection = MySQLdb.connect(host="localhost",db="ac_job",user="root",passwd="")
data = SQLDataCollector.MySQLData(connection)
table_comment_list = data... |
#!/usr/bin/env python
# encoding:utf-8
import asyncio
import requests
import time
async def download(url):
"""
同步函数，加上async关键字，宣称为awaitable
:param url:
:return:
"""
response = requests.get(url)
print(response.text)
async def wait_download(url):
"""
包装同步函数为一个原生的协程对象，等待同步函数完成
... |
#! /usr/bin/env python
# -*- encoding: UTF-8 -*-
"""Main class to handle the Vasttrafik application"""
import qi
import time
import sys
import argparse
import os
import paramiko
import threading
from scp import SCPClient
from Applications.Vasttrafik import Vasttrafik
IP = "192.168.1.102"
class HumanGreeter(object)... |
from datetime import datetime ,date,timedelta
# get current date
def print_today():
today = date.today()
dstr = 'Today is {0}. Have a good time, sir!'.format(today.strftime("%Y-%m-%d, %A"))
print(dstr)
def date_guardian(d):
'''check if d belongs to datetime.date, if not try to convert it.
Re... |
__author__ = 'chen'
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
import scipy.io as sio
def getData():
labelName = ['alt.atheism', 'comp.graphics', 'comp.os.ms-windows.misc', 'comp.sys.ibm.pc.hardware', 'comp.... |
import requests
from bs4 import BeautifulSoup
import json
from urllib import request, parse
import pandas as pd
import os
import time
import shutil
import csv
from pprint import pprint
#把目標資料夾所有csv轉成json
Folder_Path = r'E:\csv' #要拼接的所有文件
SaveFile_Path = r'E:\json' # 保存路徑
os.chdir(Folder_Path) #換工作路徑
f... |
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib
from scipy import signal
import seaborn as sns
import glob
DATAPATH='/media/jeonghn/C684587984586E45'
train_labels=pd.read_csv(DATAPATH+'/data/train.csv')
train_labels.head()
print(f"Total segment files: {len(train_labels['segmen... |
from django.apps import AppConfig
class YoutubeflowConfig(AppConfig):
name = 'YoutubeFlow'
|
def jisuan():
a = 7
L=[]
for x in range(1,100):
for n in range(1,100):
if ((7*x)-(26*n) == 1):
L.append(x)
print(L[0])
jisuan()
|
# coding: utf-8
"""
NiFi Rest API
The Rest API provides programmatic access to command and control a NiFi instance in real time. Start and stop processors, monitor queues, query provenance data, and more. Each endpoint below includes a description, ... |
import logging
import sys
import datetime
import time
from pathlib import Path
Path('logs/').mkdir(parents=True, exist_ok=True)
timestamp = datetime.datetime.fromtimestamp(time.time()).strftime('%y%m%d_%H%M%S')
file_handler = logging.FileHandler(filename=('logs/test_{}.log'.format(timestamp)))
stdout_handler = loggin... |
# Generated by Django 2.2.6 on 2019-10-25 22:56
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('techei', '0027_auto_20191025_2008'),
]
operations = [
migrations.AlterField(
model_name='eventmodel',
name='end_date... |
#'Enter two numbers and divide them with a comma.
#Second number will be added that many time as the first numbers value.
first = eval(input('Enter first number:'))
second = eval(input('Enter second number:'))
x = first
y = second
print(x*y)
|
import os
import pytest
from day_4 import main
current_dir = os.path.dirname(os.path.abspath(__file__))
test_input_file = os.path.join(current_dir, 'test_input.txt')
test_input_file_simple = os.path.join(current_dir, 'test_input_simple.txt')
def test_transform_data():
expected_list = [
{"ecl": "gry",
... |
import os
import subprocess
import json
from config import torrent_path
items = []
def dl_torrent_file(torrent_url):
owd = os.getcwd()
os.chdir(f"{owd}/scripts/dl_torrent_from_ygg/parse_ygg/ygg")
subprocess.call(["scrapy", "crawl", "ygg", f"-a torrent_url={torrent_url}"])
os.chdir(owd)
item_file... |
import subprocess
import os
PATH_TO_THIS_DIR = os.path.dirname(os.path.abspath(__file__))
FLAMEGRAPH_PL = os.path.join(PATH_TO_THIS_DIR, 'flamegraph.pl')
def stats_to_svg(stats):
proc = subprocess.Popen(
args=[FLAMEGRAPH_PL, '--title', ' '],
stdout=subprocess.PIPE,
stdin=subprocess.PIPE,... |
# Copyright 2016 Husky Team
#
# 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, softw... |
import pandas as pd
import pickle
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import roc_auc_score
from sklearn.preprocessing import MinMaxScaler
from sklearn import... |
import time
from ulugugu import drawings, vec2
from ulugugu.events import ACK
from ulugugu.widgets import Widget, WidgetWrapper
from ulugugu.utils import cursor_over_drawing
class DebugBoundingBox(WidgetWrapper):
def get_drawing(self):
return drawings.DebugBoundingBox(super().get_drawing())
class MouseoverWid... |
'''
Name: Darius Sandford and Brandon Dickens Date Assigned: 02-22-2018
Course: 1384 Sec 11 Date due: 02-22-2018
File Name: feetInchesTest.py
Description: A program to test the class.
'''
from FeetInches import FeetInches
def main():
... |
WORLD = 'World' |
cost = float(input("Enter the cost of the item in dollars: "))
money = float(input("Enter the amount of money you have paid: "))
change = cost - money
q = 0
d = 0
n = 0
p = 0
while q < change:
q += 0.25
if q > change:
q -= 0.25
break
change -= q
while d < change:
d += 0.10
if... |
from msedge.selenium_tools import EdgeOptions
from msedge.selenium_tools import Edge
opts = EdgeOptions()
opts.use_chromium = True
opts.add_argument("--log-level=3")
browser = Edge(executable_path=r"C:\Users\atharv\Documents\Python\webdrivers\edgedriver_win64\msedgedriver.exe", options=opts)
browser.set_window_size... |
from orm_classes import sess
from flask import session, request, jsonify
from orm_classes import Users
from app import cfapp
@cfapp.route('/_update_basemap_pref', methods=['GET'])
def update_basemap_pref():
basemap = request.args.get('basemap', 0, type=int)
v = sess.query(Users).filter_by(userid=session['user... |
from django.db import models
class Professor(models.Model):
nome = models.CharField(max_length = 100)
notaCat1 = models.FloatField(default = 0)
notaCat2 = models.FloatField(default = 0)
notaCat3 = models.FloatField(default = 0)
numVotos = models.IntegerField(default = 0)
media = models.FloatField(default = 0)
a... |
from string import Template
import subprocess
import sys
import os
# Games will be generated in `experiments/experiment_name/games`
# Config files will be generated in `experiments/experiment_name/configs`
# Train scripts will be generated in `experiments/experiment_name/scripts`
try:
model_name = sys.argv[1]
... |
from datetime import date
def GetDays(date1, date2):
splittedDate1 = date1.split(',')
splittedDate2 = date2.split(',')
date_obj1 = date(int(splittedDate1[0]), int(splittedDate1[1]), int(splittedDate1[2]))
date_obj2 = date(int(splittedDate2[0]), int(splittedDate2[1]), int(splittedDate2[2]))
# print(... |
# -*- coding: utf-8 -*-
{
'name': 'Filter Supplier',
'version': '1.0',
'category': 'Res Partner',
'author': 'Econube | Jose Pinto, Pablo Cabezas',
'summary': 'Gestor de filtros',
'description': """
For personalize filters.
""",
'depends': ["base","account",... |
from BetterSudoku import BetterSudoku
class MinimumValueSudoku(BetterSudoku):
def __init__(self, line, verbose=False):
BetterSudoku.__init__(self, line, verbose)
self.available=list()
complete=set(range(1,self.n+1))
for i in range(self.n*self.n):
forbidden=set(self.forbidden[i])
self.available.append(... |
from django.shortcuts import render, redirect
from .models import Candidato
from human_resources.models import Puesto
from .forms import CandidateForm, ExperienciaForm
def new_view(request):
if request.method == 'POST':
form = CandidateForm(request.POST)
if (form.is_valid()):
form.s... |
from django.test import TestCase
class DRFJSONAPITests(TestCase):
def test_settings(self):
"""
Test that the tests run.
"""
self.assertTrue(True, 'Test environment has wrong settings')
|
# Some data work
# Tuples
# - fixed sized
# - immutable
# - elements can contain mutable objects like list, other tuples etc.
# creating a tuple
tpl = 1,2,5,6
print(tpl)
# printing out how many 2s exist in our tuple
print(tpl.count(2))
# unpacking tupple
x, y, z, t = tpl
print("Our tupple is unpacked:")
prin... |
#
# Stat hook module
#
# This module is responsible for maintaining execution stats of
# strategies included in a plan. All hooks are stateless by
# design. But most hooks except for the most trivial needs to
# maintain some data during plan execution, such as this one.
# Hook data is stored in the plan as hook attribu... |
"""
Created on Tue Apr 14 18:10:04 2020
@author: Sivaraman Lakshmipathy
"""
from textProcessor import *
from mrr import *
class pagerank: #class to build word graph and perform page rank on individual documents
pos_list = ["NN", "NNS", "NNP", "NNPS", "JJ"] #valid pos tags
alpha = 0.85
beta = 0
no_of_... |
import webbrowser
from datetime import datetime
import time
file = open('ZoomLinks.csv', 'r')
# Read and print the entire file line by line
lst = []
while True:
mydata = file.readline()
if mydata == "":
break
mydata = mydata[:-1] if mydata[-1] == '\n' else mydata
lst.append(mydata)... |
#! /usr/bin/env python3
"""
Utility script: find the module corresponding to the problem number given
on the command line, then execute its doctests.
"""
import argparse
import doctest
from importlib import import_module
# set up terminal printing
WARN = '\033[93m'
GREEN = '\033[92m'
RED = '\033[91m'
END_COLOR = '\0... |
from E160_config import *
from E160_state import *
from E160_PF import *
from E160_UKF1 import *
from E160_MP import *
import math
import datetime
import time
import random
CONFIG_PARTICLE_FILTER = "PF"
CONFIG_UNSCENTED_KALMAN_FILTER = "UKF"
CONFIG_FILTER = CONFIG_UNSCENTED_KALMAN_FILTER
TEST_PATH_1 = [E160_state(0... |
from sklearn import *
from sklearn import datasets, linear_model
from sklearn.metrics import mean_squared_error,r2_score,accuracy_score
from matplotlib.pyplot import *
import matplotlib.pyplot as plt
import numpy as np
X,Y=datasets.make_regression(n_samples=200,n_features=1,n_targets=1,random_state=0,noise=4.0)
X_tra... |
#Print each item in teh following list:
#["The Walking Dead", "Entourage", "The Sopranos", "The Vampire Diaries"].
shows = ["The Walking Dead", "Entourage", "The Sopranos", "The Vampire Diaries"]
for show in shows:
print(show) |
#!/usr/bin/env python3
"""NCC Performance Analyser API to ElasticSearch coupler"""
import os
from setuptools import setup
setup(
name='ncc_paapi',
version='0.0.8',
description='Abstraction classes to access the PA API',
author='NCC Group',
license="Apache License 2.0",
packages=['paapi'],
... |
# -*- coding: utf8 -*-
from Tkinter import *
from math import sqrt
from numpy import linalg
from time import sleep
def validatePoint(x, y): # возвращает true, если точка принадлежит области, определенной неравенствами
if (x >= 0 and y >=0 and x <= 8 and y <= 6 and ((x - 5)**2 + (y - 3)**2 <= 3**2 or x <= 5 or y <=... |
#!/usr/bin/env python
# coding: utf-8
# <img src='assets/Flowers.png' width=500px>
# In[1]:
get_ipython().run_line_magic('matplotlib', 'inline')
get_ipython().run_line_magic('config', "InlineBackend.figure_format = 'retina'")
import matplotlib.pyplot as plt
import torch
from torch import nn
from torch import op... |
from nose.tools import *
from ex49_sentence_parsing import parser
from ex49_sentence_parsing import lexicon
def test_sentence():
s = parser.Sentence(('noun', 'princess'), ('verb', 'kills'), ('noun', 'bear'))
assert_equals(s.subject, 'princess')
assert_equals(s.verb, 'kills')
assert_equals(s.object, 'bear')
def t... |
# Paul Glenn
# MTH 437
# Book exercise
# Section 9.1 Problem 3
from numpy import *
def MCarea(myf,xi,xf,numpoints):
'''Compute the area under the curve of f in the interval (a,b)
using random numbers uniform on (0,1)
and the specified number of points.'''
a = 4; m = 9; b = 1
x = empty(numpo... |
from datetime import date
from freezegun import freeze_time
from onegov.ballot.models import Election
from onegov.ballot.models import ElectionCompound
from onegov.ballot.models import Vote
from onegov.election_day.collections import NotificationCollection
from tests.onegov.election_day.common import DummyRequest
def... |
import sys;
print("---day 2 --"); |
# Python imports
import os, math, pdb, re, time
from glob import glob
from tqdm import tqdm
import argparse
import numpy as np
import logging
# ML imports
from scipy.ndimage.interpolation import zoom
from scipy.spatial.distance import dice
import torch
from torch import nn
import torch.nn.functional as F
torch.backend... |
# According to the Wikipedia's article: "The Game of Life, also known simply as Life, is a cellular automaton devised by the British mathematician John Horton Conway in 1970."
# Given a board with m by n cells, each cell has an initial state live (1) or dead (0). Each cell interacts with its eight neighbors (horizonta... |
import machine
#import network
import webrepl
import uWiFiConnection
#import time
import uInternetTest
import uAP
import esp
import gc
from ntptime import settime
#import uOnlineLogger
gc.collect()
AP_NAME = "Lolin32"
AP_PASSWORD = "12345678"
WIFI_CONF_FILE = "/wifi_conf.txt"
WIFI_ATTEMPTS = 2
logger = None
connec... |
import scrapy
from bookscrapy.items import EbookItem
class AbitelSpider(scrapy.Spider):
name = "abitel"
allowed_domains = ["abitel.gsm.pl"]
patt='http://ebooki.abitel.gsm.pl/index.php?option=com_booklibrary&task=showCategory&catid=52&Itemid=509&limitstart='
start_urls = [patt+str(start) for start in x... |
foo = [3,1,2]
bar = sort(foo)
print(foo)
# [1,2,3]
# Make a sequence from 0 to 10^18
gen1 = range(1, 1000000000000000000)
# Square them all
gen2 = (i ** 2 for i in gen1)
# Include only odd numbers
gen3 = (i for i in gen2 if i % 2 == 0)
# Enumerate them all
gen4 = enumerate(gen3)
for i, value in gen4:
print(i, v... |
from googleapiclient.discovery import build
import pprint
def search_for_tag(tag):
my_api_key = 'AIzaSyBUQQ4MeC8N6wDwxmHS8-FEqVGWUtfl754'
my_cse_id = "018007238419152413196:g_1r4bqw2i0"
def google_search(search_term, api_key, cse_id, **kwargs):
service = build("customsearch", "v1", developerKey=a... |
#Author: Ryan Su
x = int(input("Give me a number:"))
y = x
while y > 0:
if x % y == 0:
print(y)
y -= 1
|
#!/usr/bin/env python
import subprocess
import re
class Package(object):
def __init__(self, pname):
self.pname = pname
self.paths = subprocess.check_output(['pacman', '-Qlq', self.pname]).\
decode('UTF-8').split('\n')[:-1]
def find_paths(self, regex):
items = set... |
from django.conf.urls import patterns, url
from django.contrib.auth.views import login
from django.contrib.auth.views import logout_then_login
from .views import home, RegisterView
urlpatterns = patterns(
'',
url(r'^login/$', login, {'template_name': 'accounts/login.html'}, name='login'),
url(r'^logout/$'... |
import base64
import urllib
from Crypto.Cipher import AES
from taskstopipeline.settings import BLOCK_SIZE, CRYPTO_SALT, PADDING
def truncate(string, length):
return string[:length] + '...' if len(string) > length else string
def user_id_encoder(decoded_uid):
pad = lambda s: s + (BLOCK_SIZE - len(s) % BLOCK_... |
from django.db import models
class Image(models.Model):
zillow_id = models.CharField(
max_length=15,
help_text="The Zillow ID from the original JSON.")
category = models.CharField(
max_length=15,
choices=(
('Interior', 'Interior'),
('Exterior', 'Exterior... |
def fibo_gen(maxi=4 * 10 ** 16):
a, b = 0, 1
while a < maxi:
yield a
a, b = b, a + b
fib = []
for i in fibo_gen():
if i % 2 == 0:
fib.append(i)
for i in range(int(input())):
n = int(input())
total = filter(lambda x: x <= n, fib)
print(sum(fib))
|
from google.appengine.ext import ndb
import json
import codecs
class Agency(ndb.Model):
agency_id=ndb.IntegerProperty()
agency_name=ndb.StringProperty()
@staticmethod
def readFromGtfsAgency():
fo = codecs.open('./resources/JER/agency_JER.txt', "r", "utf-8-sig")
for line in fo:
... |
from ast import Module
from typing import MutableMapping, Union, List
from public import public
from .coordinates import CoordinateModel, AffineCoordinateModel
from .mod import Mod
from .model import CurveModel
from .point import Point
@public
class EllipticCurve(object):
model: CurveModel
coordinate_model:... |
# Copyright (C) 2016 The TensorFlow Authors.
# Copyright (C) 2019 Alibaba Group Holding Limited.
# All Rights Reserved.
# ==============================================================================
"""A factory-pattern map which returns classification dataset iterator."""
from __future__ import division
from __futur... |
from .elektra import * |
import numpy as np
import math
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
class RansacPointGenerator:
"""generates a set points - linear distributed + a set of outliers"""
def __init__(self, numpointsInlier, numpointsOutlier):
self.numpointsInlier = numpointsInlier
... |
#!/usr/bin/python3
str = "Holberton School"
print(3*str)
print(str[:9])
|
from django.shortcuts import render
from django.utils import timezone
from .models import Post
from django.shortcuts import redirect,get_object_or_404
from .forms import PostForm
from django.http import HttpResponseRedirect
from .forms import UserForm
from django.shortcuts import render
from django.utils import timezo... |
from solver.solver_basic import SokobanSolverBasic
from queue import Queue
from heapdict import heapdict
import numpy as np
from scipy.optimize import linear_sum_assignment
import satnet
class GameState(object):
def __init__(self, boxes, worker, parent):
self.boxes = boxes
self.worker = worker
... |
import sys
from pyspark import SparkContext, SparkConf
from pyspark.mllib.recommendation import ALS, MatrixFactorizationModel, Rating
import time,math
from operator import add
file_path = sys.argv[1]
test_file = sys.argv[2]
output_file = "Piyush_Umate_ModelBasedCF.txt"
t = time.time()
def user_movie_map(line):
l =... |
import os
import sys
import csv
def main(argv):
path = './data/'
if len(argv) != 0:
path = argv[0]
driving_log_path = path + 'driving_log.csv'
with open(driving_log_path) as data_file:
reader = csv.reader(data_file)
for line in reader:
for i in range(3):
file_name = path + 'IMG/' + line[i].split('/')... |
cars = ['audi', 'renault', 'mercedes', 'bmw']
for car in cars:
if (car == 'bmw'):
print(car)
else:
print('not a bmw')
cars[1].upper()
print(cars[1])
print('audi' not in cars)
print("Is car == 'subaru'? I predict True.")
if cars:
print('cars is a list')
else:
print('cars list is empt... |
'''
Created on 2Sep.,2016
@author: Alex Ip
'''
import os
import sys
import errno
import logging
import re
import subprocess
import tempfile
from shutil import rmtree
import glob
from osgeo import gdal, gdalconst
import netCDF4
from geophys_utils import array_pieces
import numpy as np
from functools import reduce
from ... |
from django.contrib import admin
from .models import Produto
# Register your models here.
@admin.register(Produto)
class ProdutosAdmin(admin.ModelAdmin):
list_display = ['titulo', 'referencia', 'preco'] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.