index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
990,000 | b7da13a879d7062b7e90dbc50c1789cf359282f4 | """
@summary: Custom HTML parser using HTMLParser library, store the result in a tree
@author: Alexandre Bisiaux
"""
from HTMLParser import HTMLParser
from xml.etree import cElementTree as etree
import requests
"""
Get text of a tree node
@param node: The tree node
@return: The text presents in the node Ex : <a> tex... |
990,001 | ad3d5ab73a1bd99dc0e960266d713ddd169d887e | import torch
from torch.autograd import Variable
from scipy.misc import imresize
from imageio import imread, imsave
import numpy as np
from path import Path
import argparse
from tqdm import tqdm
from models import PoseExpNet
from inverse_warp import pose_vec2mat
from utils import tensor2array
from PIL import Image
p... |
990,002 | 728c3c3e5bbc9536a8a8b859e0bc62ac1c0ef0ae | """Reply API Call handler for snapshots."""
from pymongo import Connection
from pymongo.errors import InvalidId
from bson.objectid import ObjectId
from datetime import datetime
from cgi import escape, parse_multipart, parse_header, FieldStorage
from urlparse import parse_qs
from json import dumps
from boto.s3.connecti... |
990,003 | 6290590fe88890aca747d5940fd9e48012462c29 | import ants
import numpy as np
import h5py
import time
from zebrafish_io import lif_read_stack, save
import multiprocessing as mp
def pipeline(file_path,fixed_index,moving_indices,rigid_out_file,atlas_file,transform_out_file,out_diff_file):
stack,spacing=lif_read_stack(file_path)
#rigid=rigid_registration(stac... |
990,004 | 80a5fb4b4c78da82be2296751919b04f57b91c6b | from ryu.controller.handler import MAIN_DISPATCHER
from ryu.ofproto import ofproto_v1_3
from ryu.base import app_manager
from ryu.topology import switches
from ryu.topology import event as TopologyEvent
from ryu.controller import dpset
from ryu.controller.controller import Datapath
from ryu.controller.handler import se... |
990,005 | 30414317aeb4427615c3f05d90b306160128e33c | menuItems = {
'Wings': 0,
'Cookies': 0,
'Spring Rolls': 0,
'Salmon': 0,
'Steak': 0,
'Meat Tornado': 0,
'A Literal Garden': 0,
'Ice Cream': 0,
'Cake': 0,
'Pie': 0,
'Coffee': 0,
'Tea': 0,
'Unicorn Tears': 0,
}
response = ''
print('**************************************\n** Welcome to t... |
990,006 | c8454367d3c8a098a03214a677cc700c72034bf3 | """
g $$$$$$$$$$$$$$$$$$$$
f $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
t $$$$$$$$$$
o $$$$$$$$$$$$
"""
def histogram_maker(dictionary_of_sales):
for company in dictionary_of_sales.keys():
print(f"{company[0]} {dictionary_of_sales[company] * '$'}")
sales_Q1 = {
'google': 20,
'facebook': 25,
'twitter': 10,
... |
990,007 | df003a5b4d735e95b75c0ad2c7ee03f616ab5f54 | from django.shortcuts import render, get_object_or_404, redirect
from .forms import InvestmentForm, ProductForm, ExpenseForm
from .models import Investment, Expense, Product
def investment_stat(request):
investments = Investment.objects.all()
return render(request, 'investments.html', {'investments': investmen... |
990,008 | 7f9297b8136428c3f2c4d0b52d24a7fc8c16d2b1 | import sys
import matplotlib
matplotlib.use('TkAgg')
from matplotlib.pyplot import plot,draw,figure,cla,xlim
from time import sleep
from numpy import loadtxt
if len(sys.argv) < 2:
print "USAGE: %s file.dat"%sys.argv[0]
sys.exit(1)
f=figure()
f.show()
while 1:
d = loadtxt(sys.argv[1])
cla()
map(lambda i: pl... |
990,009 | 27bc2ba5a21e4d88de7761c5504c4acab7f66c7b | import matplotlib.pyplot as plt
from gwpy.time import Time
from gwpy.timeseries import (TimeSeries, TimeSeriesDict)
from matplotlib.ticker import MultipleLocator, FormatStrFormatter
import pylab
print "Import Modules Success"
#Start-End Time
start = Time('2014-03-24 00:00:00', format='iso', scale='utc')
end = Time('2... |
990,010 | e3c0ebcd8241a16d94ad1df1fe48d60870470c09 | # from django.contrib.auth.models import User
class TemplateTest:
def __init__(self, a, b):
self.a = a
self.b = b
def modify(self, x, y):
# print(getattr(self, x))
self.__dict__[x] = y
modify.alters_data = True
class A(object):
def __init__(self):
self._map = {}... |
990,011 | 8a75d3671ad30944d0eca47082d4387eb4d10395 | from django.shortcuts import render,redirect
from user.forms import *
from django.contrib.auth.forms import AuthenticationForm
from django.contrib.auth import login as builtInLogin, logout as builtInLogout
# Create your views here.
def selectUser(request):
return render(request,'sign-up-choose.html')
def ... |
990,012 | 540a5b843a494b86072aa331f61f0cb3f1f798d1 | from String import telephone_name_lookup
def test_tel_directory():
names = ['bevavy 2019830294','kim 94409294','smith 298234205','lewis 329049235','jim 392029446','peter 3425252525','john 23425255']
(name_directory, phone_directory) = telephone_name_lookup.build_name_directory(names)
results = telephone_... |
990,013 | 01d80fd14ed5299f0236b20a530d6d99430a5272 | import math
reflec_index = [1.33, 1.34026 ,1.34782, 1.35568, 1.36384, 1.37233, 1.38115, 1.39032, 1.39986, 1.40987, 1.42009, 1.4308, 1.44193]
for i in range(len(reflec_index)) :
seta = math.degrees(math.asin((math.sin(math.radians(30)))*reflec_index[i]))
print("Brix degree : "+ str(i*5) +" reflec_index : " + s... |
990,014 | 0d3f65ca6c22ca7a7918b5aeec1424b31cd4539b | # Simple code for loading some standard data sets from the UCI Machine
# Learning repository.
#
from classifier import data_item
def read_wine_dataset():
'''Return a list of data_item object representing the UCI Wine data.'''
dataset = []
fp = open('wine.txt')
for line in fp:
fields = line.spli... |
990,015 | 8d12590d957f257d0bd3294e06af2db58c29047f | import json
import asyncio
async def dumps(content: dict) -> str:
loop = asyncio.get_running_loop()
json = await loop.run_in_executor(None, json.dumps, content)
return json
async def loads(content: str) -> dict:
loop = asyncio.get_running_loop()
dictionary = await loop.run_in_executor(None, json.l... |
990,016 | bb76226153814b101fa6686a5a747a82c028b122 | """
Fine tune forward model using data generate by itself.
choose S_init, S_goal
controller gives a_1
excute a_1, get transition S_init, a_1, S_next
use this transition to renforce the forward model
Choose S_init, S_goal
1. using Policy (Fine tune in policy distribution)
2. randomly choose one (if not state spac... |
990,017 | 29193872339962c72b1a9fa9dea05504ffbff608 | import numpy as np
import matplotlib.pyplot as plt
from DubinsCar import DubinsCar
from Environment import Environment
def gen1(d):
return np.radians(10)
def randomDubins():
car = DubinsCar(theta=np.radians(45), speed=10)
x, y = np.zeros(100), np.zeros(100)
for i in xrange(100):
angle = np.r... |
990,018 | a51363ec4e0abffea47f63c1c9203e1796f46677 | #!/usr/bin/env python
#Written by Roger Fachini
#Startup script located at /etc/init/githttpstartup.conf
import logging
import socket
import SimpleHTTPServer
import SocketServer
import json
import time
import os
import commands
import cgi
IP = ''
PORT = 80
BASE_DIR = '/robotics/services/pvcs/'
LOG_DIR = '/robotics/... |
990,019 | 737bfa88f64e7242021140ce914c694082660b89 | import cv2
import numpy as np
class CommonsVariables(object):
labels = ['blow_down',
'bare_ground',
'conventional_mine',
'blooming',
'cultivation',
'artisinal_mine',
'haze',
'primary',
'slash_burn',
... |
990,020 | 092d01e09987b7e1d93870d02baa0367adc88749 | from django.urls import path
from .views import *
urlpatterns = [
path('login.html', loginView, name='login'),
path('register.html', registerView, name='register'),
path('setps.html', setpsView, name='setps'),
path('logout.html', logoutView, name='logout'),
path('', findpsView, name='findps')
] |
990,021 | 02a2c33974219c9f386befc723506264d4632826 | import pandas as pd
import numpy as np
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split
class DataProcessor():
'''
The DataProcessor class is repsonsible for parsing the given .csv file.
### Attributes ####
:file : (str) the path to the file.
:test :... |
990,022 | ca4f83a7a225b5a1f78b6bd9016a3b3fa93bdd81 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
import configparser
import logging.handlers
import os
PYTHON_LOGGER = logging.getLogger(__name__)
if not os.path.exists("log"):
os.mkdir("log")
HDLR = logging.handlers.TimedRotatingFileHandler("log/config_reader.log",
... |
990,023 | edc55bcf5d44be31a0d3cd08613494c3bc209419 | import jittor as jt
from jittor import nn, Module
from jittor.nn import Sequential
from collections import OrderedDict
import math
class Flatten(Module):
def execute(self, input):
return input.view(input.size(0), -1)
class Conv_block(Module): # verified: the same as ``Conv'' in ./fmobilefacenet
def __... |
990,024 | c1a7b282cb54a44af7f10c5ba7e363ae9193378b | # Write a function that takes two arguments - a quiz question and the correct answer.
# In your function, you will print the question, and ask the user for the answer.
# If the user gets the answer correct, print a success message.
# Else, print a message with the correct answer.
# Your function does not need to return... |
990,025 | 5f3a57be0883754c3df2a1761eef5bc80379277c | from flask import Flask,render_template,redirect,flash,url_for,request
import requests
import datetime
import pandas as pd
import os
from bokeh.io import output_file, show, save
from bokeh.plotting import figure
from bokeh.models import ColumnDataSource, HoverTool, CustomJS
from bokeh.models.widgets import Button
from ... |
990,026 | 26072f407e089cb7a4f607f4a260f6d854ce2d5f | # coding=utf-8
# Copyright 2022 The Google Research 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 applicab... |
990,027 | e8e48f97456d196f8e1546ad024dfac731137270 | import datetime
import factory
import factory.fuzzy
import pytz
from foosball.users.tests.factories import UserFactory
class TeamFactory(factory.django.DjangoModelFactory):
score = factory.fuzzy.FuzzyInteger(10)
@factory.post_generation
def players(self, create, extracted, **kwargs):
if not cr... |
990,028 | 889411af9586f6a7375fcff7809645c69ae5527e | # You are given a char array representing tasks CPU need to do. It contains capital letters A to Z where each letter represents a different task. Tasks could be done without the original order of the array. Each task is done in one unit of time. For each unit of time, the CPU could complete either one task or just be i... |
990,029 | d76bbd5847181f76f0609e5139d2cf185617b40e | """Helper to preprocess data."""
import pandas as pd
from sklearn.model_selection import train_test_split
class Preprocessor:
"""Class to handle preprocessing operations."""
def __init__(self, df):
"""Set DataFrame as class variable."""
self.df = df
def remove_urequired_columns(self, unr... |
990,030 | 67232fc8b46954395589e5264d2426d0b2db3ec7 | #!/usr/bin/python
# Import libraries
import RPi.GPIO as GPIO
import time
import datetime
from time import sleep
# Pinouts from RPi Zero 2 W
# 22 Panel on 24 LepiLED on
# 27 Panel off 23 LepiLED off
# Set up pin for latching relay FOR THE PANEL ON
GPIO.setmode(GPIO.BCM)
# Latching Relay #2
GPIO.setup(22, GPIO.OUT)
... |
990,031 | c26c030ad7948bbf2a68d40e512e77b22c3753b9 | def notas(*n, sit=False):
b = {}
b['Total'] = len(n)
b['Maior'] = max(n)
b['Menor'] = min(n)
b['Media'] = sum(n) / len(n)
if sit:
if b['Media'] > 7:
b['Situação'] = 'BOA'
elif 5 < b['Media'] < 7:
b['Situação'] = 'RAZOÁVEL'
elif r['Media'] < 5:
... |
990,032 | b5f5aee098e7cb0b7a1469a361378df34b470b3d | #
# @lc app=leetcode id=18 lang=python3
#
# [18] 4Sum
#
class Solution:
def fourSum(self, nums, target):
nums.sort()
if len(nums) == 4:
if sum(nums)==target:
return [nums]
else:
return []
result = []
for idx, i in enumerate(nu... |
990,033 | bff3b950a4db58ce5977ee80d0a617c53d7e88ce | from django.conf.urls import url
from django.contrib import admin
from .views import (
workload_list,
workload_create,
workload_update,
workload_delete,
workload_report,
workload_export,
detail,
sum_report,
)
urlpatterns = [
url( r'^$', workload_list, name='list'),
url( r'^create/$', workload_create,name... |
990,034 | 32f86269149ffa9e1d692ddf1fa6e480db2ad5fc | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import tempfile
from django.conf import settings
from PIL import Image, ImageDraw, ImageFont
def resize(image, width=None, height=None):
if width is None and height is not None:
imageWidth = (imageWidth * height) / imageHeight
image... |
990,035 | d0a1ab7a2fde1abff0d603a452091d8a34f8b0d3 | from django.template import Library
from native_tags.nodes import do_function, do_comparison, do_block
from native_tags.registry import load_module, AlreadyRegistered, register as native_register
from django.conf import settings
from django.utils.importlib import import_module
from os import listdir
register = Library... |
990,036 | c86903d684390fac3908ddac63ec93ce40352c9b | # Code is a modified version of 'Jose Julio @2009 "IMU_Razor9DOF.py"'
# This script needs VPhyton, pyserial and pywin modules
# First Install Python 2.6.4
# Install pywin from http://sourceforge.net/projects/pywin32/
# Install pyserial from http://sourceforge.net/projects/pyserial/files/
# Install Vphyton from http://... |
990,037 | 3d05d365e01d2597199e608abdc6162245c1b6a9 | # this will serve as the database, where we will connect to the file system
# and fetch from the file system
# what we will do in this database
# create a record
# update record
# read record
# delete record
# all of this is called the CRUD operation
# see how the functions below line up with each CRUD operation
#... |
990,038 | 99f9e4def160187aa541895e7f202fed0e94f8cd | """Create the login parser."""
from __future__ import annotations
import typing
from awssso.console.login import login
if typing.TYPE_CHECKING:
import argparse
def arg_parser_login(
subparsers: argparse._SubParsersAction,
parent_parser: argparse.ArgumentParser,
default_args: None | dict = None,
) -... |
990,039 | 998041791144a53755cae38a3db404812d995e63 | # Generated by Django 2.2.8 on 2020-01-13 23:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('preproject', '0019_auto_20200113_2254'),
]
operations = [
migrations.AlterField(
model_name='preproject',
name='solu... |
990,040 | d9c80b0414cf1c2bc8b28ef2c988571a80c4fbeb | import numpy as np
def L_inf_prox(z, tau):
p = z.shape[0]
zs = np.fabs(z)
z_rank = np.argsort(zs)
zs = np.sort(zs)
xmax = zs[-1] - tau
i = 1
while xmax <= zs[-(i + 1)]:
xmax = (xmax * i + zs[-(i + 1)]) / (i + 1.0)
i += 1
if i + 1 > p:
break
zs[(-i) :... |
990,041 | eb7e2fe94e8e2938e50e2deb156d4c55337fecdf | # Generated by Django 3.0.6 on 2020-06-01 09:34
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('OnlineShoppingApp', '0009_addtocart'),
]
operations = [
migrations.RenameField(
model_name='addtocart',
old_name='AddToCart_... |
990,042 | 1da447bf1bd4f586bfd1f1d9cf111680f6909c0b | #!/usr/bin/env python
from imports import *
from configs import *
def urlOK(url):
r = requests.head(url)
return r.status_code == 200
|
990,043 | 6de2c38a9a894ef2cef2e2ca7bbcd473a93c9130 |
from common import timestamp |
990,044 | e651f3ced0e1f8a41336b67d28c805820d31a167 | import pygame, images
from pygame.locals import *
class Symbol(pygame.sprite.Sprite):
images = pygame.sprite.Group()
def __init__(self, image, x, y, color=None, action="door"):
pygame.sprite.Sprite.__init__(self)
image = images.Image(image, x, y, color)
self.image = image
# Make our top-left corner the... |
990,045 | 19835de951e1fdbd38feca94269f68a51f247a5c | from typing import List, Optional
from pydantic import BaseModel
from datetime import datetime
class Songbase(BaseModel):
name: str
duration : int
uploadTime: datetime
class Song(Songbase):
class Config():
orm_mode = True
class ShowSong(BaseModel):
name: str
duration: int
uplo... |
990,046 | 6ee441d0759691e8b590f13a6ffb0337db52b164 | # 973. K Closest Points to Origin
# Time: O(len(points)*log(K))
# Space: O(log(K))
class Solution:
def kClosest(self, points: List[List[int]], K: int) -> List[List[int]]:
import heapq
heap = []
for point in points:
dist = math.sqrt(point[0]**2+point[1]**2)
if len... |
990,047 | 1b92355877ff74eb9ffa6b175115df7755b239e1 | cont = mulher = homem = 0
while True:
idade = int(input("Idade: "))
sexo = " "
p = ' '
while sexo not in "MF":
sexo = str(input("Sexo [M/F]: ")).strip().upper()[0]
if idade >= 18:
cont += 1
if sexo == "M":
homem += 1
elif sexo == "F" and idade >= 20:
... |
990,048 | 17891d0b8c3b213fc10a2690a3bde7468d9d8785 | #
# complexity O(n)
def parity(x):
result = 0
while x:
result ^= x&1
x >>= 1
return result
# complexity O(k)
# x = 00101100, x-1 = 00101011
# x & (x-1) = 00101000
def parity_Ologk(x):
result = 0
while x:
result ^= 1
x = x & (x-1)
return result
def parity_Olog... |
990,049 | 3b6b9b3426c4aaf90c89b210386e036b9aaa4f38 | import pytest
from datetime import datetime
from decimal import Decimal
from b2c2.models import Balances, TradeResponse, SideEnum
def test_can_add_trade_to_balance():
balance = Balances(__root__={'BTC': Decimal(0)})
trade_resp = TradeResponse(
created=datetime.now(),
instrument='BTCUSD.SPOT'... |
990,050 | 1c80550ee95b9eeddd154de7251d4943cd78ea2a | # -*- coding: utf-8 -*-
from odoo import models, fields
class FruteriaSocio(models.Model):
_name = 'fruteria.socio'
_description = 'Socio fruteria'
_inherits = {'res.partner': 'partner_id'}
imagen_socio = fields.Binary('Imagen', related='partner_id.image')
id_socio = fields.Integer('Id_Socio',req... |
990,051 | 2d76f1f6a3578897586520113dcaccbd11f80fa2 | import re
a=5
b=6
# swap 2 variable
a,b = b,a
print ('swap: ', a, b)
# delete duplicated element in an array
old_list = [1,1,1,3,4]
new_list = list(set(old_list))
print ('uniq a array: ', old_list, new_list)
# reverse string
s = 'abcde'
ss = s[::-1]
print ('reverse: ', s, ss)
# make a dict using 2 related array
... |
990,052 | 0606367a5851704cad332cf9bac681b7f97b1bad | #dataBase.py
import os
import json
import time
#import dataset
import databases
#import sqlite3
from sqlalchemy import *
from sqlalchemy.ext import mutable
from sqlalchemy import orm
from sqlalchemy.ext import declarative
from Server.server import cnf
class JsonEncodedDict(TypeDecorator):
"""Enables JSON storage ... |
990,053 | 2c089d309414663707d795267fc81769c8963e53 | import torch
import torch.nn as nn
import torch.nn.functional as F
class CrossEntropyLoss2d(nn.Module):
def __init__(self, weight=None,reduce=True,size_average=True):
super().__init__()
self.loss = nn.NLLLoss(weight,reduce=reduce,size_average=size_average)
def forward(self, outputs, targets)... |
990,054 | 1267db37365ab61417eb77f1e6d9b8cb7d3ba46f | # -*- coding:utf-8 -*-
import ftplib
def returnDefault(ftp):
try:
# nlst()方法获取目录下的文件
dirList = ftp.nlst()
except:
dirList = []
print '[-] Could not list directory contents.'
print '[-] Skipping To Next Target.'
return
retList = []
for filename in dirList... |
990,055 | ef469da38d69163ea7dcc1fc0c4a7a69c3fa765d | #!/usr/bin/python3
import os
import sys
import pymongo
from modules import Scan_NTP,Ssh_Cracked,Telnet_Cracked,GET_Whitelist
print('Welcome to Jormungandr system (^ ^)')
col=pymongo.MongoClient()
while True:
print('''Please chose you modules!:
1,ssh cracked
2,ntp scan
3,telnet scracked
enter you chose numbe... |
990,056 | 5449188d2e83b7242e9e2de0f182f4d5716db43d | import json
import time
from datetime import datetime
import requests
import csv
import os
import os.path
from urllib.parse import urljoin
AAIDA_BACKEND_BASE_URL= os.getenv("AAIDA_BACKEND_BASE_URL")
print(os.getcwd())
filename = 'responses-record.csv'
url = urljoin(AAIDA_BACKEND_BASE_URL, 'cases/submit') #dummy loa... |
990,057 | 4005589b4aa4cc7f2b94e25c80df8a8d9d18158d |
cars = 10
space_in_a_car= 4.0
drivers = 3
passengers = 9
cars_not_driven = cars - drivers
cars_driven = drivers
carpool_capacity = cars_driven * space_in_a_car
average_passengers_per_car = passengers / cars_driven
print cars
print drivers
print passengers
print drivers
print carpool_capacity
print average_passengers_... |
990,058 | f4d122e17534abd57f7e14314d9d892937ec3d9d | start = raw_input("Start ")
end = raw_input("End? ")
for x in range(start, end):
print(x)
def oneToTen(start, end):
for x in range(start, end)
print(x)
return True
result = oneToTen(0, 10)
print result |
990,059 | 46578f3e7f71a45c0de873a685de858d091bf676 | import time
import tensorflow as tf
import numpy as np
import networkx as nx
import data_utils
from model import *
print("TF Version: ", tf.__version__)
# Set random seed
seed = 123
np.random.seed(seed)
tf.set_random_seed(seed)
# Settings
flags = tf.app.flags
FLAGS = flags.FLAGS
flags.DEFINE_string('dataname', 'twi... |
990,060 | 173d3d4858a2de042610391d0797e5af58d7b553 | game = {
"name": "Vainglory",
"description": "MOBA",
"status": "frequent updates",
"features": "3v3, 5v5"
}
print(game)
n = input("Enter key you want to delete: ")
if n in game:
del game[n]
print(game)
else:
print("Error 404") |
990,061 | 23dfb2f8e8c36c88bc21ca851a3335ad881e0371 | import os
import re
def read_version():
with open(os.path.join('freezegun', '__init__.py')) as f:
m = re.search(r'''__version__\s*=\s*['"]([^'"]*)['"]''', f.read())
if m:
return m.group(1)
raise ValueError("couldn't find version")
def create_tag():
from subprocess import ... |
990,062 | d3c381ee37ef813c5a87a429f45e743badf771f0 | # 1. Pedir dos números por teclado e imprimir la suma de ambos.
print("Ejercicio 1")
def sumar (numero_1, numero_2):
resultado = numero_1 + numero_2
return resultado
numero_1 = float(input("Introduce el primer número: "))
numero_2 = float(input("Introduce el segundo número: "))
resultado = sumar (numero_1, ... |
990,063 | be54859e42304ebc7c28d26dc70cffeb2f59affa | #!/usr/bin/python2.7
#
# Tester for the assignement1
#
DATABASE_NAME = 'dds_assignment'
# TODO: Change these as per your code
RATINGS_TABLE = 'ratings'
RANGE_TABLE_PREFIX = 'range_part'
RROBIN_TABLE_PREFIX = 'rrobin_part'
USER_ID_COLNAME = 'userid'
MOVIE_ID_COLNAME = 'movieid'
RATING_COLNAME = 'rating'
INPUT_FILE_PATH... |
990,064 | a06239ea75ff4d82dea2403d4f27b0471c20f3ff | #!/usr/bin/env python
translation = str.maketrans('+-', '-+')
T = int(input())
for i in range(1, T + 1):
stack = input()
s = 0
while '-' in stack:
s += 1
lastBS = stack.rfind('-')
stack = stack[0:lastBS+1].translate(translation) + stack[lastBS+1:]
else:
prin... |
990,065 | bb4735a9bd4b28650060472838d54c7afc41f3f7 | import numpy
import re
import math
import threading
import time
from OpenGL.GL import *
from Cura.gui import openGLUtils
from Cura.gui.view3D.renderer import Renderer
class GCodeLayerRenderer(object):
def __init__(self, prev_layer = None):
self._x = 0
self._y = 0
self._z = ... |
990,066 | 2914cd7e0283a7ce1c25ff1fffe6880d7b75a07c | t = int(input())
for T in range(t):
n = int(input())
l = []
for i in range(n):
s = input()
l.append(list(s))
ans = 0
for i in range(10):
count = 0
for j in range(n):
count += int(l[j][i])
if count % 2 == 1:
ans += 1
print(ans)
|
990,067 | f633f5ff62e78dfdab19ed173ac624fdd97da890 | import random
import re
import torch
from torch.nn import functional as F
from pytorch_transformers import GPT2Tokenizer, GPT2Model, GPT2LMHeadModel
torch.set_grad_enabled(False)
MODEL_PATH = './WoWQuestPytorch124M'
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
tokenizer = GPT2Tokenizer.from_p... |
990,068 | c8bd17ce9492aef044ec2b986c815f1a50a25c89 | class person:
def __init__(self,fname,lname):
self.firstname = fname
self.lastname = lname
def fullname(self):
print(self.firstname , self.lastname)
def subject(marks):
total_marks = marks*5
print(total_marks)
p1 = person("raj","kumar")
p1.fullname()
subject(100)
|
990,069 | 72099ff67d5a245634b3c1e0e6fb43b53ae19ac2 | # baselineTeam.py
# ---------------
# Licensing Information: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley... |
990,070 | 495b3a6631d5bb729097ce44fbb34da798131f66 | def color(name,colour):
if type(name) is not str:
raise TypeError("only strings allowed")
print(f"{name} likes {colour}")
color("alley","green")
color(21,"red") |
990,071 | 520335e224f55d367329f5b6cfd6ca4c938ead74 | # Generated by Django 2.0.7 on 2018-10-14 06:58
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('appDatas', '0001_initial'),
]
operations = [
migrations.RenameField(
model_name='pill',
old_name='qrcode',
new_n... |
990,072 | 97b89627f52004d09e651e733aa7ef04c4c2508b | import ROOT as r
f = r.TFile("tree_cycles_hist.root", "recreate")
t = r.TTree("Events", "")
obj = r.vector("float")()
t.Branch("Jet_pt", obj)
rows = [[], [27.324586868286133, 24.88954734802246, 20.853023529052734], [], [20.330659866333008], [], []]
for i,row in enumerate(rows):
obj.clear()
for x in row:
... |
990,073 | 6aa29e8b5b8fa0c8dbb289ac016b587e114e1db3 | import numpy as np
from deepthought.experiments.encoding.experiment_templates.base import NestedCVExperimentTemplate
class End2EndBaseline(NestedCVExperimentTemplate):
def __init__(self,
job_id,
hdf5name,
fold_generator,
pipeline_factory,
... |
990,074 | 6e4519d9a662f384e59f8f8f995343076712d88d | def perfectnum(num):
sum= 0
for i in range(1, num):
if (num % i == 0):
sum += i
if (num == sum):
return True
perfectnumbers = []
for i in range(1, 1000):
if (perfectnum(i)):
perfectnumbers.append(i) # listeye ekledik.
print("Perfect Numbers Between 1 and 1000 are\n... |
990,075 | 7960f5cad98fab18612a8ddb103386fedc8821f2 | n = int(input("Digite um numero: "))
resto = n % 3
if resto > 0:
print(n)
else:
print("Fizz") |
990,076 | 339da4279f815e45db89bd6b115ed4d583fd09a5 | from django.db import models
# Create your models here.
class Manufacturer(models.Model):
name = models.CharField(max_length=50)
date_added = models.DateField()
def __str__(self):
return f'{self.name} added on {self.date_added}'
|
990,077 | d5ce9046b71d0cbe40a77b1b22c60339c8d10f9a | try:
from unittest import mock
except ImportError:
import mock
import betamax
from betamax.decorator import use_cassette
@mock.patch('betamax.recorder.Betamax', autospec=True)
def test_wraps_session(Betamax):
# This needs to be a magic mock so it will mock __exit__
recorder = mock.MagicMock(spec=beta... |
990,078 | dda2dbd589a326af41368501ff58a2a68c2b01e9 |
#from flask import Flask
import numpy as np
import pandas as pd
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func, case
import datetime as dt
from sqlalchemy.pool import NullPool
from flask import Flask, jsonify, render_templ... |
990,079 | db54ea5a922913df0aeb5b5e3bfcdaa556a5632d | from pathlib import Path
from unittest import IsolatedAsyncioTestCase
import os
import shutil
import tempfile
from unittest.mock import AsyncMock, MagicMock, patch, ANY
from pyartcd.pipelines.promote import PromotePipeline
from doozerlib.assembly import AssemblyTypes
class TestPromotePipeline(IsolatedAsyncioTestCase... |
990,080 | 9d653decc9c6ae9d42d0c7b9e4a67f0175f77e08 | import os
import torch
from detectron2 import model_zoo
from detectron2.config import get_cfg
cfg = get_cfg()
# Setting output directory
cfg.OUTPUT_DIR = 'Table Detection/model/'
# Set device cuda/cpu
if torch.cuda.is_available():
cfg.MODEL.DEVICE = 'cuda'
else:
cfg.MODEL.DEVICE = 'cpu'
print('Setting D... |
990,081 | 2f9eef47f0f60b47f5a51149b20920ae0bbad1c5 | from django.urls import path, include
from rest_framework.routers import DefaultRouter
from rest_framework_swagger.views import get_swagger_view
from .api import *
router = DefaultRouter()
router.register(r'reviews', ReviewsViewSet, basename='reviews')
schema_view = get_swagger_view(title='CovAnalytica API')
urlpatt... |
990,082 | 71248e02ceb6b9677682139e5be4fcf3153be205 | from __future__ import print_function
import argparse
import os
import shutil
import time
import random
import visdom
import numpy as np
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data as data
from tor... |
990,083 | 29056a332619e4b6fbe2ffe316a4fa1d119edc2a | import storymarket
from django.conf import settings
from django_storymarket.models import SyncedObject
QUEUE_UPLOADS = getattr(settings, 'STORYMARKET_QUEUE_UPLOADS', False)
if QUEUE_UPLOADS:
from .tasks import upload_blob_task
def save_to_storymarket(obj, storymarket_type, data):
"""
Push an object to St... |
990,084 | 9cfd04f2f8617f6a3a20637e416e201f9e7017b9 | # 9.1
class Restaurant:
"""Creating a Restaurant class"""
def __init__(self, restaurant_name, cuisine_type, number_served=0):
"""assigning name and type"""
self.restaurant_name = restaurant_name
self.cuisine_type = cuisine_type
self.number_served = number_served
def descrip... |
990,085 | 7b9afb9f6267d468268d1415b664ff3855481fb0 | import argparse
import pandas as pd
from Bio import Phylo
import itertools
import numpy as np
import scipy.sparse
def run():
parser = argparse.ArgumentParser()
parser.add_argument('--tree',
help='newick file with tree on which to cluster sequences from')
parser.add_argument('--treeNameSep',
... |
990,086 | 6c78cbf97f3509270abf5f6d7a96fb851f93137e | """Analysis of SPH data.
The analysis sub-package contains Plonk implementations of typical
smoothed particle hydrodynamics post-simulation analysis tasks.
Examples
--------
Create a radial profile in the xy-plane.
>>> p = Profile(snap, cmin=10, cmax=200, n_bins=100)
>>> p.plot('radius', 'density')
Calculate the an... |
990,087 | a686eb1b93f1b800ba6ab5395fb3ef0083c1185d | from time import sleep, time;
import os;
from java.io import File;
from javax.imageio import ImageIO;
from java.awt.image import BufferedImage
#import java
from math import *
from gda.data import NumTracker
from gda.jython import InterfaceProvider
from gda.device.detector import DetectorBase
from gda.device.dete... |
990,088 | a31cdd394365a216f1040499d57e4b1ddc223458 | #!/usr/bin/env python3
import subprocess as sub
class execHandler():
def __init__(self, password = 'asdf1234'):
self.password = password
def __del__(self):
self.password = ''
def decrypt(self, file):
proc = sub.Popen(['gpg', '--batch', '--passphrase-fd', '0', '--decrypt', file], ... |
990,089 | 41ec2d909fa40d35b59eacdf56fb61d169cadfcf | #Python program for merge sort
def merge_sort(list1):
if len(list1) > 1:
mid = len(list1)//2
left_list = list1[:mid]
right_list = list1[mid:]
merge_sort(left_list)
merge_sort(right_list)
i = 0
j = 0
k = 0
while i < len(left_list) and j < len(ri... |
990,090 | fb4d2bad2e3cb91e73e32c547bd1e4852a55f1c3 | #! /usr/bin/env python
#coding=utf-8
from __future__ import division
class LanguageModel:
def __init__(self):
self.m={}
self.m0={}
count=0
for line in open(r'G:\wangzq\PolyU\Code-Switching\Emotion_CS_Analysis\comments.lm.seg.txt'):
words=[w.lower() for w in lin... |
990,091 | 7c740ae10467e8d3e9092280cdb5d6593ca7bb30 |
live_grid = [[0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0]]
def display_grid(gr... |
990,092 | 69094f836d6380444279124f1230e4d3190194e6 | #! python
import h5py
import numpy
import matplotlib.pyplot
import pandas
import datetime
def read_h5(filename):
def selectValues(name, obj):
if 'VALUES' in name:
lstDataSets.append(obj)
lstDataSets = []
with h5py.File(filename, mode='r') as of:
of.visit... |
990,093 | ce9062fd96bc51a4286481276f3edc105fb44441 | import webapp2
import jinja2
import os
from google.appengine.ext import db
jinja_environment = jinja2.Environment(autoescape=True,
loader=jinja2.FileSystemLoader(os.path.join(os.path.dirname(__file__), '.')))
class Blog(webapp2.RequestHandler):
def get(self):
template = jinja_environment.get_templ... |
990,094 | d7e1d989e3d5f0622696d75899f431bd920140a2 | ################################################################################
################################################################################
## IMPORTANT NOTE ##
# 1. Please set appropiate mode of operation towards the END OF THIS SCRIPT
# Mode = 0 --> For si... |
990,095 | 70b46fec7074701347e33f67c05843a82a488795 | """Test helper to handle making RPC requests to an AMPQ broker."""
import gzip
import json
import uuid
import time
from typing import Any, Optional
import pika
from pika.adapters.blocking_connection import BlockingChannel
Connection = pika.BlockingConnection
Channel = BlockingChannel
class ResponseTimeout(Exceptio... |
990,096 | ac2a7aad5c3a11d7f8a774d7188cc90915a37388 | # Load libraries
import numpy as np
from pandas import read_csv
from pandas.plotting import scatter_matrix
from matplotlib import pyplot
from sklearn.model_selection import train_test_split
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selecti... |
990,097 | 77540aef5c16171efacbc833730810a6d2329ca8 | # Module identify waveguides in refractive index data
# Written by R. H. White rwhite@eoas.ubc.ca
import numpy as np
import xarray as xr
import math
from scipy.interpolate import interp1d
from scipy import signal
from scipy.signal import butter, lfilter, sosfilt
import scipy.fftpack as fftpack
from datetime import dat... |
990,098 | 23a44d2ca57208d033762661f5f5c7ac382da66f | from abc import ABC, abstractmethod
class IranKhodro(ABC):
@abstractmethod
def engine(self):
pass
class Samand(IranKhodro):
def engine(self):
print("man Samandam!")
class Pejo207(IranKhodro):
def engine(self):
print("man Pejo207am")
class Rona(IranKhodro):
def engine... |
990,099 | 9c1023e12e33ed39687ac3491f8a8c25e75e1620 | import requests
import re
# https://github.com/firehol/blocklist-ipsets/blob/master/blocklist_de.ipset
def getBaseIP(url: str) -> list:
"""Get IP address from IPset
"""
response = requests.get(url) #get data
ip_sets = response.text
ip_list = re.findall(r'(?:\d{1,3}\.)+(?:\d{1,3})', ip_sets)
return... |
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