index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
998,200 | 6baf2478703ad51e0d998483d520e5f0e3821869 |
class Proposal:
def __init__(self, priority, message, origin):
self.priority = round(float(priority), 4)
self.message = str(message)
self.origin = origin
def __repr__(self):
return "Proposal(" + str(self.priority) + ", " + str(self.message) + ")"
def __lt__(self, other):
... |
998,201 | a240389ee3310fe1ba6740b199ecb5da1d9a305f | #!/cvmfs/sft.cern.ch/lcg/views/LCG_98python3/x86_64-centos7-gcc9-opt/bin/python3
# -*- coding: utf-8 -*-
"""
Example:
python HiggsAnalysis/friend-tree-producer/scripts/add_ML_models_prediction_in_root_file.py \
--input <path to root file> \
--XGBs <path to XGB json files> \
... |
998,202 | 6d5365252c3aa1290b03461fee9dc9442f1ba300 | from django.contrib import admin
from landloard.models import HostelHomePage, HostelService, HostelGallary, HostelContact, HostelPlan
from Profile.models import LandlordProfile
# Register your models here.
class HostelHomePageModelAdmin(admin.ModelAdmin):
list_display = ["hostel_name","welcoming_message","backgrou... |
998,203 | 20be6d3931c2ea56d726104d4a345907dd9aa728 | from datetime import datetime
def write_log(logs, from_file):
for log in logs:
print(f"{str(log)} \n")
print("\nFrom file: " + from_file + "\n" + "Date-time: " + datetime.now().strftime("%Y-%m-%d %H-%M \n"))
print("-" * 25 + '\n\n\n')
# with open("log.txt", "a", encoding="utf-8") as f:
#... |
998,204 | f65530d4b29101c388ffbc3be35d7e0a6d86da46 | def solver(line):
l, sequence = line.split()[1:], []
for i in xrange(0,len(l),2):
sequence.append((l[i], int(l[i+1])))
prevB, prevO = 1, 1
timeB, timeO, time = 0, 0, 0
for next in sequence:
if next[0] == 'O':
step = abs(prevO-next[1]) + 1
prevO = next[1]
timeO = max(timeO + step, timeB + 1)
tim... |
998,205 | 570f04b6a563f9ae3597e0eec25977222a3ef97f | import json
import jsonschema
import os
with open(os.path.join(os.path.dirname(__file__), "1ZoneUncontrolled.epJSON")) as f2:
input_file = json.load(f2)
with open(os.path.join(os.path.dirname(__file__), "Energy+.schema.epJSON")) as f:
schema = json.load(f)
jsonschema.validate(input_file, schema)
|
998,206 | 08bf95d49d7fb7806daf01ea953f2bdf35ec3950 | import numpy as np
from keras.layers import Dense, Embedding, LSTM
from keras.models import Sequential
from keras.preprocessing import sequence
from keras.datasets import imdb
# Устанавливаем seed для повторяемости результатов
np.random.seed(42)
# Максимальное количество слов (по частоте использования)
max_features =... |
998,207 | 876aedb27be373148a772c68bbde098f7b911169 |
from flask import Blueprint, jsonify, current_app, abort
bp = Blueprint('routes', __name__, url_prefix="/routes") # pylint: disable=invalid-name
@bp.route('/', methods=['GET'])
def routes(): # pragma: no cover
"""Print available functions."""
if not current_app.debug:
abort(404)
func_list = [... |
998,208 | c8352748395e998eea6db98477a20efd73b65cba | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import requests
import bs4
import json
import time
if __name__ == '__main__':
with open("29027415.html", "r") as fw:
content = fw.read()
htmlSoup = bs4.BeautifulSoup(content, features="html.parser")
# txt = htmlSoup.find_all('div', class_='d2txt')
... |
998,209 | 4e352de3ff4d215d2364400e2e822644e00b3cd4 | # tkinter — Python interface to Tcl/Tk
# The tkinter package (“Tk interface”) is the standard Python interface to the
# Tk GUI toolkit.
# Tk itself is not part of Python; it is maintained at ActiveState.
# lookup(style, option, state=None, default=None).
# Returns the value specified for option in style.
# If ... |
998,210 | 3b74fe012607e69360fc3a5a4b5cfca823353105 | # Busqueda primero en anchura - Breadth First Search
from Nodos import Nodo
def busqueda_BPA_solucion(conecciones, estado_inicial, solucion):
resuelto = False
nodos_visitados = []
nodos_frontera = []
nodo_inicial = Nodo(estado_inicial)
nodos_frontera.append(nodo_inicial)
while (not resuelto) a... |
998,211 | f632909afe6014a50ffda534c6947a382df9bd72 | # Generated by Django 2.1.3 on 2018-11-11 20:01
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('etsy_core', '0014_productimage'),
]
operations = [
migrations.CreateModel(... |
998,212 | 843db326b32965fd1687202cfa4307a31b095c6e | # Django settings for instamedia project.
import os, logging
logging.basicConfig(
level = logging.DEBUG,
format = '%(asctime)s %(levelname)s %(message)s',
)
DEBUG = True
TEMPLATE_DEBUG = DEBUG
logging.debug("Reading settings...")
ADMINS = (
# ('Your Name', 'your_email@domain.com'),
)
PROJECT_PATH = os.... |
998,213 | cfa6671c6b08c695953c3413785d39864036dc86 | from django.db import models
# Create your models here.
class Transaction(models.Model):
# Transaction id sent by merchant.
transaction_id = models.CharField(max_length=100)
# Payment gateway type used in transaction
payment_gateway_type = models.CharField(max_length=20, null=True, blank=True) # Ma... |
998,214 | 315207ccb422fcf3d82db7beca509059265a583f | import RPi.GPIO as GPIO
import time
#import requests
#import os
#os.system('fswebcam image.jpg -save /home/pi/Desktop/image.jpg')
#url="https://smart-sort.herokuapp.com/process"
#filess = {"img":open("/home/pi/Desktop/image.jpg","rb")}
#result=requests.post(url,files=filess)
#print(resu... |
998,215 | dde7f523d311f53df89cb0d0b39ef97e27bce783 | from flask import request, jsonify
from flask.views import MethodView
from werkzeug.exceptions import abort
from weathertracker.stats import get_stats
from weathertracker.utils.conversion import (
convert_to_datetime,
convert_to_string,
DatetimeConversionException,
)
class StatsAPI(MethodView... |
998,216 | a466335b2ec63302b973af3576067000d8c62715 | import operator
f=open("intro.txt")
words=[]
dict={'the':0, 'of':0, 'for':0, 'is':0, 'as':0, 'an':0}
for line in f:
a=line.split(",")
for i in a:
b=i.split(".")
for j in b:
c=j.split()
for k in c:
if k in dict:
dict[k]+=1
t=tuple(dict.items())
t = sorted(t, key=operator... |
998,217 | dc89143753fdebe7f51f516971091a89f947e8e9 | #!/usr/bin/env python
def div(a, y):
''' Divide two numbers'''
if y == 0:
return 0
else:
return a/y
if __name__ == '__main__':
print (div(2,4))
print (div(2,0))
|
998,218 | d7415ceb2834a83efb4ecacd78a85a5954a2c4d6 | # Copyright The OpenTelemetry Authors
#
# 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 ... |
998,219 | 5a1a87af9ac3f0eb6db671af6162c1ace7b0f069 | import os
import numpy as np
import pandas as pd
import cPickle as pickle
from natsort import natsorted
from random import randint
from skimage import exposure
from matplotlib import pyplot
from skimage.io import imread
from PIL import Image
from skimage.io import imshow
from skimage.filters import sobel
from skimage ... |
998,220 | de1cd4efe72560e1159d82541af09a8350005630 | r = sum(range(1,101))
s = [x*x for x in range(1,101) ]
print((r*r) - sum(s)) |
998,221 | 828b96ed2451e67cdfe07ed28150a91accd84ba2 | # -*- coding: utf-8 -*-
# @Time : 2019/12/5 0005 13:09
# @Author : 没有蜡笔的小新
# @E-mail : sqw123az@sina.com
# @FileName: xadmin.py
# @Software: PyCharm
# @Blog ：https://blog.csdn.net/Asunqingwen
# @GitHub ：https://github.com/Asunqingwen
# @WebSite : labixiaoxin.me
import xadmin
from .models import Goods, GoodsCa... |
998,222 | 352c50c827e64f13ad6ae53c7e942322e032819e | from datetime import datetime
import logging
import json
logging.basicConfig(level=logging.INFO)
USERFILE = 'user.json'
# 产生一条信息，返回信息的字典形式
def create_user(user, passwd, label):
logging.info("create user recorde")
message = {}
message['time'] = datetime.today().strftime('%Y-%m-%d %H:%M:%S')
message['use... |
998,223 | 13658f1ccccf02770e12ddaa13364976a4d79dd7 | # -*- coding: utf-8 -*-
#
# Created by: PyQt5 UI code generator 5.12.3
#
# WARNING! All changes made in this file will be lost!
import sys
from PyQt5 import QtCore, QtGui, QtWidgets
from howToReachUsGUI import ROOT_DIR
sys.path.append(ROOT_DIR + '\\YOUniversity\\BayesianNetwork')
from bayesianNetwork import gradeBaye... |
998,224 | 4d72fd0d0cf186ab9f2ea9edeb7a92821d0f6edd | """
Backtracking(Time limit exceeds)
Illustraction of the backtracking tree:
ex. nums = [ 1,1,1], S = 1. The node is the possible sum in nums[0:level]
root
/ \
1 -1
/ \ / \
2 0 0 -2
/ \ / \ / \ / \
3 1 1 -1 1 -1 -1 -... |
998,225 | 4f2f3b4c025a02ef8e42b702286c8f7165bd8e31 | #!/usr/bin/env python3
# This script is a all-in-one script.
# It includes the the create_blob, create_tree and create_commit functionality.
#
# Author: Tim Silhan
import os
import zlib
import time
from hashlib import sha1
# Create the blob object
print("Blob")
print("-----------------------")
blob_content = 'Hell... |
998,226 | 9a07d3fb295afd6c9f316382a6eb2a1d08374934 | import os.path, sys
from sage.all import SQLDatabase
import base
padic_db = base.getDBConnection().ellcurves.padic_db
padic_db.ensure_index("label")
padic_db.ensure_index("prime")
def lookup_or_create(label,p):
item = padic_db.find_one({'label': label, 'p': p})
if item is None:
return {'label': label,... |
998,227 | 972ad02c94aecba3f4259f1197fd1b6c38a76ac3 | import numpy as np
from sklearn.svm import LinearSVC
from sklearn.model_selection import GridSearchCV
from sklearn.svm import SVC
import read_data
import pca
from imputation import *
USE_IMPUTED_DATA = True
def train_basicSVM():
#basic SVM model
basic_svm = LinearSVC()
basic_svm.fit(X_train, y_train)
print("Bas... |
998,228 | 15d618678d58deb911ba641dddfd995fdf00ed14 | #!/bin/python
class Questionair():
def __init__(self, data:str ):
self._raw = data;
# Dont like work in the constructor. Might remove this
self.answers = data.replace( '\r', '' ).replace( '\n', '' );
self.individual_answers = data.replace( '\r', '' ).split( '\n' );
def count_ans... |
998,229 | d6591d8e29319e1a5f7ea8618d1d4863c494507e | import configparser
import os
import pymongo
class MongoTools:
def __init__(self):
config = configparser.ConfigParser()
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
path = os.path.join(BASE_DIR, 'config.ini')
config.read(path)
self.mongo_database = config['MONGO']... |
998,230 | 8e5187a9dea988e0958d4d9b9f3a5b117ea710ca | #! /usr/bin/python
from distutils.core import setup
import os
version = "3.0.0"
versionfile_path = os.path.join("globus","connect","server", "version")
oldversion = None
if os.path.exists(versionfile_path):
oldversionfile = file(versionfile_path, "r")
try:
oldversion = oldversionfile.read().strip()
... |
998,231 | 0d8cb2a16de9d41a38a4670555c669dc79211a19 | import folium
from itertools import cycle
def draw_paths(center, paths, file_name):
"""
:param center: list[lat, lng]
:param paths: list of Paths, where path is a list like this:
[(52.529, 13.407, 'TItle 1'), (52.529, 13.407, 'TItle 2')]
:param file_name: where to save the map, e.g. 'map.html'... |
998,232 | a21637baac43301b9a2317b384b34bc771f04683 |
from argparse import Namespace
from commands.command import Command
from datetime import datetime
from util import tint_yellow, tint_red, tint_green, tint_blue
from util import tri_state_value, tri_state_device
import csv
class Profile(Command):
"""This class represents the 'profile' subcommand."""
def __init__(... |
998,233 | 3a13fbc2f4c6154474d162f30e6ccea766a288a3 | #!/usr/bin/env python
from setuptools import setup, find_packages
setup(name='gibbrish',
version='1.0.0',
description="Generate '.strings' file with long gibberish strings in order to test if your app is ready for translation.",
author='Matan Lachmish',
author_email='matan.lachmish@gmail.com',... |
998,234 | 1ebcb5bdb61985d808247f4ef66b24c5df9e9f2b |
#Üç basamaklı bir tamsayının basamakları toplamını bulan bir program yazınız.
sayi = int(input("3 basamaklı sayı:"))
yuzler = int()
onlar = int()
birler = int()
fark = int()
yuzler = sayi // 100
fark = sayi - (yuzler*100)
onlar = fark // 10
birler = fark % 10
print("basamak toplamları:{}".format(yuzler + onlar + bi... |
998,235 | 1132c5161ca7554f70a878af401d3b1e81eba2d3 | import pickle
h_00 = pickle.load(open("train_history_unet_comb3_mse_00_10lvels.pkl", "rb"))
h_20 = pickle.load(open("train_history_unet_comb3_mse_20_10lvels.pkl", "rb"))
h_40 = pickle.load(open("train_history_unet_comb3_mse_40_10lvels.pkl", "rb"))
h_80 = pickle.load(open("train_history_unet_comb3_mse_80_10lvels.pkl", ... |
998,236 | 1b423b19fd324018998b27eee5bbc1d3f3d2f990 | import os
import datetime
from passlib.hash import sha256_crypt
from flask import Flask, render_template, request, redirect, url_for, jsonify
from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, sessionmaker
engine = create_engine("postgres://tncdzhysojhnjn:e07995eb170d7115f2b7c503afa00... |
998,237 | 1f25a24b32915a2c3d982f7087dc776eee072ccf | #!/usr/bin/env python
# Jim Mainprice, ARC
# September 2013
# Worcester Polytechnic Institute
#
# http://openrave.org/docs/latest_stable/command_line_tools/
# openrave-robot.py /your/path/to/your.robot.xml --info=joints
# On that page you can find more examples on how to use openrave-robot.py.
from openravepy import *... |
998,238 | 815f621c38e3b56a1edb8c6fc6f8f2ea8526cbf1 | if PRESENT( UKDPP_Picture_Ratio ):
CHECK( UKDPP_Picture_Ratio in [{"Numerator":4, "Denominator":3},
{"Numerator":14, "Denominator":9},
{"Numerator":15, "Denominator":9},
{"Numerator":16, "Denominator":9},
... |
998,239 | c28e82d86d1b63e0c52b0884b486e04015b627de | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import os
import json
import requests
from urllib.request import urlopen
chrome_options = Options()
chrome_options.add_argument("--headless")
chrome_options.add_argument("--window-size=1920x1080")
chrome_dirver = os.getcwd() + "/chro... |
998,240 | f987e34ff0cf4e1c4ced1f42da9d78c9dac8253b | #-*- coding:utf-8 -*-
import os,sys
#这里放着你要操作的文件夹名称
path = 'load'
#添加被动态加载的路径
sys.path.append(path)
files = os.listdir(path)
#动态加载py
def on_load():
load_module = []
for load_file in files:
loaf_file_name = str(load_file).split('.')[0]
if loaf_file_name.find('load_') == 0:
... |
998,241 | 1544103293a710ed68b7dd94b411796bae7d970d | import numpy as np
from collections import deque
## Day 1
# This datastructure keeps track of the current top-3 elfs with most calories.
top_three = deque([0, 0, 0], maxlen=3)
def evaluate_elf(calories):
"""Compare the calories carried by an elf with the top 3.
Update the top 3 if necessary."""
if calori... |
998,242 | e9c46d379a9a8a76ebdededc659e716a11cbd605 | # Calcular e apresentar o valor do volume de uma lata de óleo, utilizando a fórmula VOLUME <- 3.14159 *R^2 * ALTURA.
Alt = float(input('Informe a altura da lata: '))
R = float(input('informe o raio da lata: '))
volume = 3.14159 * R**2 * Alt
print('O volume da lata corresponde a: {}'.format(volume)) |
998,243 | 9a36762e7c4dab9fde228e80df8fc0cfe86c05eb | # coding=utf-8
import unittest
from utils import PackageTypes
from app.product import Product
class ProductTestCase(unittest.TestCase):
def setUp(self):
self.product = Product()
def tearDown(self):
self.product = list()
def test_add_product_complete(self):
self.assertEqual(self... |
998,244 | d8ddca55163f3a8301b4cf1c85abb175c07c26c9 | # SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'django-insecure-1emj5*2t%yxisb!&bjw#3v21ca-a89xnn3%y1qsyx9!m_llivq'
# Database
# https://docs.djangoproject.com/en/3.2/ref/settings/#databases
DATABASES = {
#'default': {
# 'ENGINE': 'django.db.backends.sqlite3',
# 'NAM... |
998,245 | 57f2e6aeb51634315a3054ea712bf3a5b3adf9ad | from auth import *
from burnt_toast import *
from deps import *
import argparse
import os
import json
import time
from datetime import datetime
# Time to wait between upload checks if we haven't detected any in-progress
# videos yet.
DEFAULT_POLLING_FREQUENCY_SECONDS = 200
# Turn on for debugging
ENABLE... |
998,246 | 39dc31fbbc678ee1bcb6be2bc3dc63377cc9c25d | print("enter marks for 5 subjects:")
sum = 0.0
avg = 0.0
for marks in input().split():
sum += float(marks)
avg = sum/5.0
print(f"average: {avg}")
|
998,247 | d37eb0ea1126d6d012ae6ba90b83e4107dfd26dd | from django_restql.mixins import DynamicFieldsMixin
from rest_framework import serializers
from core.serializers import CustomWritableNestedModelSerializer
from employees.models import (
Employee,
EmergencyContact,
WorkHistory,
Education,
)
from users.api.v1.serializers import UserSerializer
class Em... |
998,248 | 2c282e1f076c086814bd1872eebfcd06e13fc41b | import os
import collections
import torch
import torch.utils.data as data
import gzip
from gqnshapenet import *
from tqdm import tqdm
import argparse
parser = argparse.ArgumentParser(description='Convert and save data to PyTorch tensor format')
parser.add_argument('--SKETCH_TRAIN_DATASET_PATH', type=str, help='Path to... |
998,249 | a6b68d04109c9c90e2f11a52347efd5af92ef72b | from django.http import HttpResponse, HttpResponseRedirect
from texts.models import Language, SourceText, Exam, Grader
from records.models import Record
from django.core import serializers
from django.template import RequestContext
from django.core.context_processors import csrf
from django.shortcuts import get_object_... |
998,250 | 4087ab6bf9ae2049f186764265eddb4da83b3aa4 | import unittest
import zserio
from testutils import getZserioApi
class ExtendedFieldInTemplateTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.api = getZserioApi(__file__, "extended_members.zs").extended_field_in_template
def testConstructorSimple(self):
extended = self.api.... |
998,251 | ba69a64e216f240793a9ac67eab6568ba4c0681b | import os
class Config:
SECRET_KEY = '0917b13a9091915d54b6336f45909539cce452b3661b21f386418a257883b30a'
SQLALCHEMY_DATABASE_URI = os.environ.get('SQLALCHEMY_DATABASE_URI')
SQLALCHEMY_TRACK_MODIFICATIONS = False
TWILIO_URL = 'https://www.twilio.com/company/jobs'
TWILIO_EMP_URL = 'https://api.greenh... |
998,252 | 307e3386e608010e4839b99d3b9b103aa8d42c68 | #!/usr/bin/env python
# encoding: utf-8
# @Time : 2019/12/18 11:36
# @Author : lxx
# @File : process.py
# @Software: PyCharm
print("开始。。。。。")
with open("result.txt","w",encoding="utf-8") as resultFile:
for line in open("replaceAttribute_Value_Concept",encoding="utf-8"):
line=line.strip()
... |
998,253 | 0ae108a0ee33e68800936bc3daa423c673978623 | import sys
#
#TE = {Pseudo0:[(x,y),(z,l)...],Pseudo1:[(m,x)...]...}
TE_ranges = {}
CHROM,START,STOP = 0,1,2
def isDataLine(line):
"""
Determines in line contains site data
"""
if len(line) > 1:
return line[0] != "#"
return False
def loadTEranges(TE_file_loc):
"""
Load TE ranges f... |
998,254 | 353bdb4ef52be349151d50fa7383f6bdf443f6d6 | from datetime import datetime
from django.db import models
# Create your models here.
class Projeto(models.Model):
"""
classe para modelar banco de dados para me app
"""
nome_projeto = models.CharField(max_length=200)
descricao_projeto = models.TextField()
cliente = models.CharField(max_length... |
998,255 | b294eb7569d6e44860ff9056b9534505699a94ae | /Users/pranavsankhe/anaconda/lib/python3.6/ntpath.py |
998,256 | 7d2e22caa0d8d0397f63ed9b7b426e7a00f99f1d | from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.views.decorators.csrf import csrf_exempt
from django.contrib.auth import login, authenticate, logout
from django.urls import reverse
from assistant.models import *
from assistant.forms import *
from assistant.unit_conv impor... |
998,257 | cf3de74403ee08a3171d84d1616f59b3ec313622 | import math
class Vector3:
def __init__(self, x=0, y=0, z=0):
self.x = x
self.y = y
self.z = z
def to_string(self):
return "x: {0}, y:{1}, z:{2}".format(self.x, self.y, self.z)
def clone(self):
return Vector3(self.x, self.y, self.z)
def set_x(self, x):
... |
998,258 | 7a430fe7a8985653def8a3481429c06cd89b8488 | import itertools
L = [int(x) for x in input().split()]
C = [int(x) for x in input().split()]
L.sort()
min_length = float('inf')
for l in itertools.permutations(L):
length = (l[0]*2+l[1]*2)*C[0] + (l[1]*2+l[2]*2)*C[1] + (l[2]*2+l[0]*2)*C[2]
min_length = min(min_length, length)
print(min_length)
|
998,259 | c07552b19e1a8889a535948b5ed6c0dcb5967621 | from problem00 import print1DList
def find_greatest_student(students_information_list):
"""
find person who has highest GPA and return tuple(0:the person's name and 1:it's GPA)
:param students_information_list: array of tuples
:return: tuple(greatest_student_name, highest_gpa)
"""
highest_gpa ... |
998,260 | 7edb4be9fe6031fe5e73e1652ed97f55581199a0 | """
Good morning! Here's your coding interview problem for today.
This problem was recently asked by Google.
Given a list of numbers and a number k, return whether any two numbers from the list add up to k.
For example, given [10, 15, 3, 7] and k of 17, return true since 10 + 7 is 17.
Bonus: Can you do this in one ... |
998,261 | 4c93e51ad4488e6c54632bf7f2628c5bb2765c26 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pprint
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import json
import pdb
from ...utils import visdom_render
from ...utils import transformations
from ...utils import visutil
... |
998,262 | 3e1a498d50235b023a03e24a1106fb8e012e5aa7 | import pandas as pd
from datetime import datetime, timedelta, date
import time
PLAYER_URL = "https://raw.githubusercontent.com/vaastav/Fantasy-Premier-League/master/data/2020-21/gws/merged_gw.csv"
columns = []
df = pd.read_csv(PLAYER_URL)
difficult_teams = [5, 9, 11, 12, 13, 17] # big six
df["difficult"] = df["oppon... |
998,263 | 1ba5d6fb2393b57b0079df42b73e0b4c38f24b8c | some = list()
print(some) |
998,264 | 54f9cddeeaab38608e0b8ec99b2b26f62a4e9d34 | rows, col = map(int, input().split(', '))
matrix = [(list(map(int, input().split(' ')))) for i in range(rows)]
for i in range(col):
sum_columns = 0
for j in range(rows):
sum_columns += matrix[j][i]
print(sum_columns)
|
998,265 | 9074f45c52bed42e513731008574ead6e047fa5d | class QueryStore():
def __init__(self, storage):
self.storage = storage
def trajectory_collectivevariable(self, collectivevariable, ensemble=None, replica=None, step=None):
"""
Return list of collectivevariables fast for specific sets of samples
samples can be all samples foun... |
998,266 | cbbbdca3b8e261f3ae2c9f7abd8d2dd8e361908c | # Copyright (c) 2011 X.commerce, a business unit of eBay Inc.
# Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# Copyright (c) 2014 Mirantis, Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "Licen... |
998,267 | c8985cfbdcb06ac2d0716ce4c5d60415173b856d | import asyncio
import base64
import websockets
import json
from sortedcontainers import SortedDict
from RestAgent import RestAgent
class Subscription:
def __init__(self, instance_name, uri, symbol, subs_type, rest_agent):
self.__topBook = {
'bid': 0.0,
'ask': 0.0,
'las... |
998,268 | 735840bc8b38aa3a43110a02357028927384627f | from typing import List
from slack_entities.client.client import get_client
from slack_entities.entities import Channel
class FileUpload:
def __init__(
self,
channels: List[Channel],
token: str,
file_path: str,
filetype: str,
filename: str,
... |
998,269 | e8544b95acde8e77b6155d340ea00e434b7aa9c1 | #!/usr/bin/env python
def count(num):
# if not num.isnumeric():
# return "INSOMNIA"
if num == 0:
return "INSOMNIA"
base = {0,1,2,3,4,5,6,7,8,9}
seen = set()
counter = 1
num1 = str(num)
while True:
# Add to seen:
# print seen, num
for c in num1:
... |
998,270 | b3e988276f9bec682ec2b1642e19b2feefff6cdb | import sys
def factorial(n):
res = 1
for i in range(1, n+1):
res *= i
return res
def tbs_numbers(n):
return int(factorial(2 * n) / (factorial(n + 1) * factorial(n)))
def main():
n = int(sys.stdin.readline().strip())
print(tbs_numbers(n))
if __name__ == '__main__':
main()
|
998,271 | 97124bfa298a7edf88517275706d803518b86f94 |
from __future__ import print_function
import ConfigParser
class TGICConfigDB:
def __init__(self):
core_dict = TGICConfigDB.parseTGICConfig()
self.tag_token = core_dict['tag_token']
self.comment_token = core_dict['comment_token']
def __repr__(self):
return "TGIC Config:\n\ttag_... |
998,272 | e9262c1a13a92fe410e452a968b6f2b9dfb7d5d9 | x = "C\Users\bernard.castello\Documents\classMates.txt"
y = raw_input ("Type in a name")
def open(Path, x):
with open(Path) as file:
for line in file:
if y in file:
print (line)
break:
else:
print("Searching...")
print("Name not found")
'''def splitFile(Path, x):
first = []:
last = []:
z = :
w... |
998,273 | 9886cf21aa0c5ab30d28ce8bd8526555f3797461 | #!/usr/bin/python
from colprint import colprint
def download_file(url, webuser = None, webpass = None):
request = __urllib2.Request(url)
if webuser:
base64string = __base64.encodestring('%s:%s' % (webuser, webpass))[:-1]
request.add_header("Authorization", "Basic %s" % base64string)
htmlFile = __... |
998,274 | 52b50192266887fcdff0fbb57fce84478dbfa7b6 | from __future__ import print_function
import multiprocessing
import signal
import random
import datetime as dt
import my_subprocess
import my_subprocess2
import my_subprocess3
import logging
from common import *
import process_logger as pl
def call_subprocess(params):
pl.initProcess()
print("... |
998,275 | 2ebe26c049e34001960246d7d06673f519ec81cf | #!/usr/bin/python3
'''
Write a function that returns an object (Python data structure)
represented by a JSON string
'''
import json
def from_json_string(my_str):
'''Function that gives the python object of
a string JSON'''
return json.loads(my_str)
|
998,276 | bf83eada4e0e09ef46e15cc7aaf2b220a9e12c46 |
if __name__ == '__main__':
from FileTracker import *
from Hub import *
hub = Hub()
appendline = ['234','567']
msg = {'action':'ADD','pre':1, 'lines':appendline}
hub.LoadFile('test.txt')
hub.ChangeFile('test.txt', msg);
hub.ChangeFile('test.txt',{'action':'REMOVE','lines':[3,4]})
hub.CloseFile('test.txt'... |
998,277 | d7489dd6d8f5b0b7cd449329483a22aca2f11c6f | # -*- coding: utf-8 -*-
from linepy import * #
from akad.ttypes import * #
from multiprocessing import Pool, Process #
from akad.ttypes import ContentType as Type #
from thrift import transport, protocol, server
from LINEPY import *
#from akad.ttypes import *
#from multiprocessing import Pool, Process
from datetime imp... |
998,278 | 994ba3f9d1c9e6e597985d3ea2aff49ac1a3635d | import re
import sys
import csv
import time
def main():
res = {}
test_file = sys.argv[1] if len(sys.argv) > 1 else 'test_file.csv'
with open(test_file, 'r') as fd:
# read file line by line
for line in fd:
# pop the 'date' row from the line
strip_line = re.sub('([0-9... |
998,279 | b49026fe0b0e06b404391f86b5936309fcec9e2e | # Note that this relies on pytest (instead of unittest) to also redirect
# stdout to a non-tty, which prevents man from calling a pager.
import subprocess
import sys
import pytest
def speedoc(*args):
subprocess.check_call([sys.executable, "-m_speedoc", *args])
def test_main():
speedoc("sphinx")
speedo... |
998,280 | 580ebdb86440d7f0693ea651ed1fd191bb9e4471 | import face_recognition
import numpy as np
# import socket programming library
import socket
# import thread module
from _thread import *
import threading
import json
from dotenv import load_dotenv, find_dotenv
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import os
print_lock = thread... |
998,281 | 9d99880883062ae209c02a79362434728f7100b8 | from math import log
def binary_flip(n):
return (~n) & int((pow(2,log(n)/log(2))-1))
print(binary_flip(5))
print(binary_flip(4))
print(binary_flip(6))
|
998,282 | d9c1924216579a2732376d6599614e83e93970e8 | # coding: utf-8
import os
from StringIO import StringIO
from email.utils import COMMASPACE
from girlfriend.testing import GirlFriendTestCase
from girlfriend.plugin.mail import (
SMTPManager,
Attachment,
SendMailPlugin,
Mail,
)
from girlfriend.util.config import Config
class SMTPManagerTestCase(GirlFr... |
998,283 | 0784a7a8f97b6c3ee213ee2bb864e07f485d7159 | #
#
#
import os
import shutil
#
# domain
#
from _domain.utils import FileWriter, JsonDumper
#
#
#
from utility.generator import BaseGenerator
from antivirus.models import SafeBrowsing
#
#
#
class Generator(BaseGenerator):
#
#
#
def __init__(self, root_dir):
# cal... |
998,284 | a45d9c732f97b35a2ac827ff90ab786096ae9a6a | from . import ImageObject, BlockGroup, Mothership
def hp_up(screen, player):
"""Increase the hp of the player"""
player.add_lifes(1)
def bullet_up(screen, player):
"""Increase player bullet reload speed"""
#If the player is not firing at a higher speed
if player.maxcooldown > 6:
player.max... |
998,285 | 6745e5eb295f1a1064d22096f910df3089c5fa24 | ximport sys
from collections import defaultdict
import numpy as np
infile = sys.argv[1]
input = open(infile, "r")
data = input.read().split("\n")[1:-1]
input.close()
SYS_MOS = defaultdict(list)
SYS_SPK = defaultdict(list)
SPK_MOS = defaultdict(list)
SPK_SYS = defaultdict(list)
UTT_MOS = defaultdict(list)
#spoofe... |
998,286 | f7cce749cbd77b5b3f1350eb5762e1b7966c2324 | from cards.exceptions import ErrorCreatureOwner
from cards.exceptions import InvalidParameter
from cards.exceptions import CreatureNotFound
from mapchart.models import HexMap as Map
def play_card(hexmap, player, card, targets):
result = {'card': card}
piece = hexmap.get_piece(*targets[0])
result.update(mo... |
998,287 | 7378adf176b14b2586cafdd0761655cf3bd3087b | from __future__ import print_function
import io
from setuptools import setup
import pylibrespot_java
def read(*filenames, **kwargs):
encoding = kwargs.get("encoding", "utf-8")
sep = kwargs.get("sep", "\n")
buf = []
for filename in filenames:
with io.open(filename, encoding=encoding)... |
998,288 | 50826de6667c5b96f1bc10d9578083097a233e02 | # coding:utf-8
import time
import numpy as np
import model.cluster as cluster
import os
import collections
import time
c = collections.Counter()
_cur_dir = os.path.dirname(os.path.realpath(__file__))
class config():
def __init__(self):
self.result_dir = os.path.join(_cur_dir)
sel... |
998,289 | 7794e69611a769fe2c4e15ad92a7621f3a35b327 | import math
class AllPrimeNumbers:
def countPrimes(self, n):
if n < 3:
return 0
arr = [0] * n
arr[0] = 1
arr[1] = 1
sqrt = int(math.sqrt(n))
for i in range(2, sqrt + 1):
j = 2
while (i * j) < n:
arr[i * j] = 1
... |
998,290 | d31f85476331bf8ce2ebafbb1f8cb066d4640cae | # This file is part of scorevideo_lib: A library for working with scorevideo
# Use of this file is governed by the license in LICENSE.txt.
"""Test operations needed to run other tests.
"""
from tests.src.test_rawlog import get_actual_expected
from tests.src import TEST_RES
def test_file_read():
"""Test that fi... |
998,291 | 6eaa96cb8f3a0528d0510af4315c539b6c024c87 | import os
import math
import json
out = {"Main Power Up":{}}
for file in os.listdir("."):
if ".txt" in file:
with open(file, 'r') as f:
d = f.readlines()
name = d[0].strip()
desc = d[1].strip()
d = d[2:]
if "Damage Up" in desc:
_mi... |
998,292 | 74f766c126907cb61ccd06c83c3966bc075c5af9 | """ Compute statistical significance with spatial autoregressive modeling. """
from scipy.optimize import curve_fit
import numpy as np
import pysal as ps
def fit_exp_decay(x, y):
""" Fit an exponentially decaying function of the form y = exp(-x/x0) for
dependent variable `y` evaluated at positions `x`.
... |
998,293 | 707da3ccddd492f20b490a0e7b2798638b7f11ab | from clove.network.bitcoin import Bitcoin
class Chaincoin(Bitcoin):
"""
Class with all the necessary CHC network information based on
https://github.com/chaincoin/chaincoin/blob/master/src/chainparams.cpp
(date of access: 01/18/2018)
"""
name = 'chaincoin'
symbols = ('CHC', )
seeds = (... |
998,294 | 965e3fba2c13451f4b6f434cf8f0260eb704e1f6 | import multiprocessing
from multiprocessing import Process
from capture import main as capture
from owl import main as logger
import tkinter
WIDTH = 200
HEIGHT = 100
if __name__ == '__main__':
multiprocessing.freeze_support()
logger_process = Process(target=logger)
logger_process.daemon = True
log... |
998,295 | 9c576683f641adaed037ad92aad5b078f723400e | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from __future__ import print_function, division
import subprocess
from scipy.stats import chi2
TESTFILE_TEMPLATE = """#include <iostream>
#include "Chi2PLookup.h"
int main() {{
Chi2PLookup Chi2PLookupTable;
double x = {0};
int df = {1};
double outvalu... |
998,296 | fcbeb31ae46b3320ce6c870ba769a524c55a98f0 | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 14 14:49:22 2015
@author: hoseung
PURPOSE:
halo mass evolution catalog for Jinsu's phase space diagram study.
OUTPUT:
Consists of 10 columns, for each galaxy in each snapshot.
# ID x y z vx vy vz Rvir Mvir Mass
((nnouts*ngal) x ncolumns... |
998,297 | 1d5dd1940a53bc8e0ae64ab76aa68f9cecc89598 |
__author__ = "TROY Development Team"
__copyright__ = "Copyright 2013, RADICAL"
__license__ = "MIT"
from compute_unit_description import ComputeUnitDescription
from compute_unit import ComputeUnit
from relation_description import RelationDescription
from relation import Relation
... |
998,298 | 883d233124d9b9e4557201d1146eee45e63e5d4d | #!/usr/bin/env python
from random import randint, choice
from math import floor
def public_good():
players = [5,5,5,5]
pool = 0
multiplier = 3
for _ in range(10):
for n, p in enumerate(players):
val = randint(0,floor(p))
players[n] -= val
pool += val
... |
998,299 | 8a4b5e8701edc030ad278f015e6790346a2294b2 | '''
czytanie znakow
'''
imie = raw_input("jak masz na imie?\n")
print imie |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.