index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
990,500 | 13113f7ed23e9bcfd5bfae1faf140f4e1014f43a | import csv
import os
from rdbtools import RdbCallback, RdbParser
import pandas as pd
from rdbtools.callbacks import JSONCallback
def load_rdb(filename, filters=None):
r = MockRedis()
parser = RdbParser(r, filters)
parser.parse(filename)
return r
class MockRedis(RdbCallback):
def __init__(self):... |
990,501 | a737bf698f3ce72921aff41016ad64bdcbe51b96 | # Ejemplo de conjuntos
s = set([5, 4, 6, 8, 8, 1])
print(s)
print(type(s))
s = {5, 4, 6, 8, 8, 1}
print(len(s))
lista = ["España","Perú", "Argentina"]
print("España" in lista)
|
990,502 | 5ed99d6a04dce08b99362b7014bd9338c31d3ebd | class SwiftArray:
pass
|
990,503 | 113341df725a47570ec03f2e4b98420fc7cca347 | import pytest
from Bio.Seq import Seq
from cargo_oligo_creator import guide, guide_splitter, split_configuration
class TestGuideSplitter:
def test_split(self):
guides = [guide.Guide("AAAATTCCCCGG")]
config = split_configuration.SplitConfiguration([3])
splitter = guide_splitter.GuideSplitt... |
990,504 | 90c85cf9301e86a0d9800a09f534294276d46abe | from bs4 import BeautifulSoup
import requests
class Stock:
#建構式
def __init__(self, *stock_numbers):
self.stock_numbers = stock_numbers
#爬取
def scrape(self):
response = requests.get("https://tw.stock.yahoo.com/q/q?s=2451")
soup = BeautifulSoup(response.text.replace("加到投資組合", ""), "lxml... |
990,505 | eba61e079a0ed400e1cb9aed8800f184e4048594 | #!/usr/bin/python
# Get Xineoh's Mnist Data
import mysql.connector as mysql
import time
import tensorflow as tf
import numpy as np
hostname = '173.45.91.18'
username = 'user01'
password = 'nw21ZDcWzTG4'
database = 'mnist01'
###Specify some preliminaries like what we want the output files to be called
train_out = 'TF_m... |
990,506 | d53182b8d431eef85fb5f35773c308f3b58897e2 | # -*- coding: utf-8 -*-
import requests
import redis
import lxml.html
import os
client_redis = redis.StrictRedis()
def get_pictures_to_redius():
html = requests.get("http://news.4399.com/gonglue/lscs/kptj/")
html_str = html.content.decode('gbk')
selector = lxml.html.fromstring(html_str)
url_list = se... |
990,507 | 773ee53dc135f5b01df467ba5225e46afc2b556b | from lxml import etree
import sqlite3
def myFunction():
print("maj")
connexion = sqlite3.connect("../base_EPI.db")
curseur = connexion.cursor()
fichier = etree.parse("../data.xml")
epis = fichier.getroot()
curseur.execute("SELECT * FROM EPI")
rows = curseur.fetchall()
for row in r... |
990,508 | ede921c4b80d1f28fef234f6fb8a886851879d95 | import numpy as np
import pytest
import tensorflow as tf
from tf_explain.core.grad_cam import GradCAM
def test_should_generate_ponderated_output(mocker):
mocker.patch(
"tf_explain.core.grad_cam.GradCAM.ponderate_output",
side_effect=[mocker.sentinel.ponderated_1, mocker.sentinel.ponderated_2],
... |
990,509 | 17889e614bdb603b1a2bf0c95caa8bc01bc37cf6 | # -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-01-17 08:41
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('play', '0002_auto_20170113_0746'),
]
operations = [
migrations.RenameField(
... |
990,510 | fc0feb262255448e81bbf8dbba894904456c995e | #!/usr/bin/python3
def number_keys(a_dictionary):
''' get number of keys in the dictionary '''
if not a_dictionary:
return 0
return len(a_dictionary)
|
990,511 | 138d6c18ea9b9e64d1ce9830f6db4869ea76eb44 | import matplotlib.pyplot as plt
from transformers import BertTokenizer
from imblearn.over_sampling import RandomOverSampler
from sklearn.model_selection import train_test_split
import numpy as np
from sklearn.preprocessing import OneHotEncoder
import pandas as pd
tokenizer = BertTokenizer.from_pretrained('bert-base-c... |
990,512 | 7a32f70a265578eb1d6f635da0391c2a2acae96f | """Tests for sktime custom model flavor."""
import os
from pathlib import Path
from unittest import mock
import boto3
import flavor
import moto
import numpy as np
import pandas as pd
import pytest
from botocore.config import Config
from sktime.datasets import load_airline, load_longley
from sktime.datatypes import co... |
990,513 | 52f61729420fb069b371453265a84e5f9c0e3508 | # usage: python3 airpurifier.py IP TOKEN
# dependency: python-miio
import miio
import sys
import time
airpurifier = miio.airpurifier.AirPurifier(sys.argv[1], sys.argv[2])
status = airpurifier.status()
data = status.data
def print_data(key):
print('miio,device=airpurifier,ip={} {}={} {}'.format(sys.argv[1], key, ... |
990,514 | 488b6acf374346fe4921bfb0a927accab161cfdb | import numpy as np
import keras
import cv2
import copy
import os
from imgaug import augmenters as iaa
from sklearn.preprocessing import LabelEncoder
from postprocessing import interval_overlap
BASE_DIR = os.path.dirname(__file__)
IMAGES_DIR = os.path.join(BASE_DIR, 'dataset', 'images')
def bbox_iou(box1, box2):
... |
990,515 | bbbfac08d40e81b5d9a162a9fd4c2f14ec7e93ad | import argparse
from estimator import run
parser = argparse.ArgumentParser()
parser.add_argument("mode")
parser.add_argument("base_path")
parser.add_argument("model_dir")
parser.add_argument("-B", "--batch_size",
type=int,
default=128)
parser.add_argument("-L", "--learning_rate"... |
990,516 | 1cfd364d532058e12daddc0f2e5036592cd86e56 | """
BITalino API
Created on Tue Jun 25 2013
@author: Priscila Alves
Adapted on Wed 18 Dec 2013 for Raspberry Pi
@author: Jose Guerreiro
"""
import BITalinoPi
try:
#example
device = BITalinoPi.BITalino()
SamplingRate = 10
nSamples = 10
device.open(SamplingRate)
BITversion = device.version()
print "version... |
990,517 | 060e655408dbe78e76296579f4b1cfcb4351ac55 | #!/usr/bin/env python
""" Generates TOD pickle file.
"""
import argparse
import glob
import os
from atl02v.tod.tod import TOD
from atl02v.shared.paths import path_to_data, path_to_outputs
from atl02v.shared.tools import make_file_dir, pickle_in
from gen_tof import get_size
def generate(path_in, atl01_file=None, anc... |
990,518 | d7cff9228acb56feb513a36c2511e5b926101357 | from pyramid.response import Response # noqa
from pyramid.view import view_config
from collections import OrderedDict
@view_config(route_name='home', renderer='json')
def home_view(request):
hello = OrderedDict()
hello['message'] = (
'Hello. some day, this page will be a pretty HTML document. '
... |
990,519 | 3e0f100e843dfdb47f981d73a2bac402ab3b928b | # 9095 - 1, 2, 3 더하기(다이나믹 프로그래밍)
def int_input():
return int(input())
def ints_input():
for d in input().split(' '):
yield int(d)
def main():
cnt = int_input()
dp = [0] * 11
dp[1] = 1
dp[2] = 2
dp[3] = 4
for i in range(4, 11):
dp[i] = dp[i - 1] + dp[i - 2] + dp[i ... |
990,520 | 5f6ede504f5a33148f4c12210e024d931cd12a09 |
import importlib
import tensorflow as tf
import kaleido as kld
import numpy as np
##### TESTER
class Tester( kld.Algorithm ):
### __INIT__
def __init__( self , args ):
self.preInit()
self.args = args
self.sess = tf.Session()
self.load_network()
args.image_test = kld.... |
990,521 | 2c7d85845c8a3ee5814978f27138c910cb67c406 | __all__ = [
"read_IGRF13_COF",
"read_IGRF13coeffs",
"read_WMM",
"read_fortran_DATA",
"read_gauss_coeff",
"read_WWW_test_2020",
]
def read_gauss_coeff(file=None):
'''Reads the tabulated Gauss coefficients
Arguments:
file (string): name of the file must be
... |
990,522 | effafadf4d8596895464cd965c147ce466061154 | # coding=utf-8
from django.conf.urls import patterns, url
urlpatterns = patterns(
'app.contents.views',
url(regex='^articles/list$', view='list_articles', name=u'list_articles'),
url(regex='^articles/new$', view='new_article', name=u'new_article'),
url(regex='^articles/edit/(?P<id>\d+)$', view='edit_ar... |
990,523 | 1603e64203aa15f6dbd4227f9ac329e3f85f8335 | #!/usr/bin/env python
# Adds stat uncertainty to json file output from combineTool.py -M Impacts
import json
from argparse import ArgumentParser
from ROOT import TFile
parser = ArgumentParser()
parser.add_argument("-j", "--json", help="input json file")
parser.add_argument("-s", "--statF", default="higgsCombine_param... |
990,524 | ef7f6d206e65a5af46e6f39db6b0ab761f1e880a | """
见 day13天的案例中测试
""" |
990,525 | 49cea5865de2a8cfe1d24cd6bbd85b4a79cc2618 | # -*- coding: utf-8 -*-
from email.policy import default
from odoo import models, fields, api
class CabinetPatientPartner(models.Model):
_inherit = 'res.partner'
l_name = fields.Char('Last Name')
date_naissance = fields.Date('Date de naissance')
sexe = fields.Selection([('male', 'Male'), ('female',... |
990,526 | ebfc2b0feb768d3ec6354a6aac33be78b8fe1eab | #!/usr/bin/env python
'''
A helper script to extract regions from LRW with dlib.
Mouth ROIs are fixed based on median mouth region across 29 frames.
@author Peratham Wiriyathammabhum
@date Jan 10, 2020
'''
import argparse
import os, os.path
import sys
import glob
import errno
import pickle
import math
import time
imp... |
990,527 | 75f63351a6855714681ba7259d1c2120d63775f8 | #!flask/bin/python
import numpy as np
import os
import sqlite3
from flask import Flask, jsonify, request, g
from sklearn.externals import joblib
# Configs
DATABASE = 'iris.db'
DEBUG = True
SECRET_KEY = 'my predictive api'
USERNAME = 'admin'
PASSWORD = 'default'
# Create App
app = Flask(__name__)
app.config.from_obj... |
990,528 | 99afbf7ff25cf560fd60764229cccbef7e4d7e86 | from ansys.dpf.core import Model
from ansys.dpf.core import check_version
from ansys.dpf.core import errors as dpf_errors
import pytest
def test_get_server_version(multishells):
model = Model(multishells)
server = model._server
# version without specifying server
version_blank = check_version.get_serv... |
990,529 | 0f8eb26846afd65415da0baa4bfafe7188417479 | def check_if_palindrome():
string_to_check = str(input("Please enter your word/phrase to ckeck if it's a palindrome : \n"))
reverse = string_to_check[::-1] # method2
if string_to_check.lower() == reverse:
print("Your string {} is a palindrome! ".format(string_to_check))
else:
print... |
990,530 | 6aa17f659f8bb0b5df20ac73e134a2043544acb4 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="multiquery",
packages=setuptools.find_packages(),
install_requires=[
"psutil",
"coloredlogs"
],
entry_points={
"console_scripts": [
"multiquery = multiq... |
990,531 | 7554f1b0e446b40280b12004d18fcf9583dd4076 | import os
import os.path
import json
import sys
from ctypes import *
import os
import functools
import thread
import array
from ctypes import *
import os
import os.path
import re
import shutil
import time, datetime
import fileinput;
s = os.sep
root = "./"
songs = None;
preKey = "g_stsj_";
# resFile = open("default.r... |
990,532 | e404265ef11c001e01cd5a22e94016326c8e5b70 | # Communication module to the DataCenter AC rotator.
# William Schoenell <william@iaa.es> - Aug 16, 2014
import argparse
import urllib
import csv
import sys
import time
import datetime
import numpy as np
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
... |
990,533 | 7b9f7dbbd405ad1f29d883f1d2bca02063c2751d | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 23 11:07:33 2020
@author: aaronberlow
"""
#linked lists
import random
class Node:
def __init__(self, data=None, next=None):
self.data = data
self.next = next
def print_node(self):
print(self.data)
class L... |
990,534 | fe0bcce8fe4256d93f01c51726f084ae6002d7a0 | #
# S.E.P.I.A. account handling
# by Florian Quirin
#
import sys
import requests
import json
import getpass
import argparse
try:
from .storage import Storage
except ValueError:
raise ValueError("Please use 'python -m sepia.account' (from outside the 'account.py' folder) to start the main function of this mod... |
990,535 | a4de7e33eee4e538b9bfc4027cbfb7795a18e3d8 | #sys.path.append('C:\Users\Enrique Cruz\Documents\Columbia\Scalper')
from research import location_settings
#COUNTRY URLS
base_uk = 'http://www.ticketmaster.co.uk'
base_us = 'http://www.ticketmaster.com'
base_ca = 'http://www.ticketmaster.ca'
base_ir = 'http://www.ticketmaster.ie'
base_au = 'http://www.ticketmaster.co... |
990,536 | 524df03c3358cabdf3036c9a1614cd423642d05d | frase1 = input().lower().strip().replace(" ","").replace(".", "").replace("!","").replace("?","").replace(",","")
frase2 = input().lower().strip().replace(" ","").replace(".", "").replace("!","").replace("?","").replace(",","")
letras1 = []
letras2 = []
for letra0 in frase1:
letras1.append(letra0)
for letra1 in fra... |
990,537 | 219c3ca5fd5c7011670e8dd6ba9d802b9df034cb | from topics import QAgiSubscriber
from packages import get_pkg_dir_from_prefix, \
get_ros_workspace_dir, \
get_ros_workspace_src_dir, \
QAgiPackages
from resources import QAgiResources, \
loadRsc, loadRes
|
990,538 | 79b09b62c38a97b9a1cc61f83d3adacd29fb76b1 | ### Fastai v2 training script
# built on fastai v2.2.2
# testing to see how the presets compare to my hand tuning
## So this is training better than my pytorch lightning...
from fastai.vision.all import *
path = '../cv_data/cifar10'
### Setup Image transforms
item_transforms = [ToTensor, Resize(size=(300,300)),
... |
990,539 | 9e5345a7e94a7cc79077e238cbf91d1692f27902 | from application import db
from datetime import date, datetime, timedelta
from application.admin.models import Settings
class SpareKey(db.Model):
id = db.Column(db.Integer, primary_key=True)
branch = db.Column(db.String(32), nullable=False)
loan_no = db.Column(db.String(32), nullable=False)
name = db... |
990,540 | 5ad8c6b4ea22345b5d2bae67062177a958f26ab7 | #ASSIGNMENT - CLASSES AND OBJECTS
#question-1
class circle:
def __init__(self, r):
self.radius = r
def getArea(self):
return(3.14*self.radius*self.radius)
def getCircumference(self):
return(2*3.14*self.radius)
r=int(input("enter radius"))
c=circle(r)
print("area is ",c.get... |
990,541 | 35f8581a47ee12a18c0c860deef0faa7988bd463 | cars = 100
space_in_car = 4.0
drivers = 30
passengers = 90
cars_not_driven = cars - drivers
cars_driven = drivers
carpool_capacity = cars_driven * space_in_car
average_passengers_per_car = passengers/cars_driven
print('There are', cars,'cars available.')
print('There are only', drivers,'drivers available.')
print('The... |
990,542 | ff54cf5b63baff575025f41d7a67faf457e79471 | """
API
__init__.py
~~~~~~~~~~~~
This file contains the initialization code for the API.
:copyright: 2019 Moodify (High-Mood)
:authors:
"Stan van den Broek",
"Mitchell van den Bulk",
"Mo Diallo",
"Arthur van Eeden",
"Elijah Erven",
... |
990,543 | 2fcb084d8431c9660470e34c7627ff789681ce68 |
class Persona():
#constructor, se crea el objeto
def __init__(self, nombre, apellido):
self.nombre = nombre;
self.apellido = apellido;
print("El objeto {} {} ha sido creado".format(self.nombre, self.apellido));
#convierte a cadena de texto
def __str__(self):
return "El ... |
990,544 | f0884a453b31909e22db44e38fe2ebeab0cad645 | from rest_framework import serializers
from bangazon_ultra.models import *
class ProductTypeSerializer(serializers.HyperlinkedModelSerializer):
''' The CategorySerializer class translates the Category models into other formats, in this case JSON by default. that Category table so a database can be created from it.... |
990,545 | 08b826a2f95dc9aa89a056ecd78da4ea386c06c9 | from django.contrib import admin
from .models import *
@admin.register(User)
class searchUser(admin.ModelAdmin):
search_fields = ('ticket_code',)
# admin.site.register([User, searchUser])
admin.site.register(Event)
admin.site.register(Admin) |
990,546 | 15ca845b359d921a96c40028ef2221dba15363c9 | def nojobsrunning(user):
'''does the user have any jobs active on Condor?
'''
from subprocess import check_output
check = check_output(['condor_q {}'.format(user)], shell=True).split('\n')[-2]
return True if '0 jobs; 0 completed, 0 removed, 0 idle, 0 running, 0 held, 0 suspended' in check else False... |
990,547 | 96795ba97c7380d1e3e6b0503a89cabdc59656e6 | 1-re:
import re
from chp1.advanced_link_crawler import download
url = 'http://example.webscraping.com/places/default/view/Aland-Islands-2'
html = download(url)
#type(html)为<class 'str'>
#urlopen(url).read()得到的是bytes-like object,正则表达式的string模式不适用该对象
#urlopen(url).read().decode('utf-8')即为<class 'str'>，可用正则表达式匹配
print(r... |
990,548 | df597c26779a2b5744e4e8959734a22991a773c2 | #!/usr/bin/env python
#
# GrovePi Example for using the Grove - Barometer (High-Accuracy)(http://www.seeedstudio.com/depot/Grove-Barometer-HighAccuracy-p-1865.html
#
# The GrovePi connects the Raspberry Pi and Grove sensors. You can learn more about GrovePi here: http://www.dexterindustries.com/GrovePi
#
# Have a que... |
990,549 | f86d56beb8737dc918b85bb0d7af42f111ae7be5 | import pickle
import matplotlib.pyplot as plt
import numpy as np
import os
def IQ(adc_raw):
adc_shape=np.shape(adc_raw)
adc_raw=adc_raw.reshape(adc_shape[0]*2,2)
adc_raw=adc_raw-np.mean(adc_raw)
if(((adc_raw[0]>0)==[True,True]).all()):
I_Qmask=[1,1]
elif(((adc_raw[0]>0)==[True,False]).all... |
990,550 | c16f40ecdf1ccd2a2c4fefe6cd41d060fe246ef6 | '''
Calls the GUI for jet tracking. Ultimately only this file should need to be run, and the GUI will
control when the jet tracking methods e.g. calibrate(), jet_detect(), etc should be run
'''
from qtpy.QtCore import QThread
from pydm import Display
import jt_utils
import jet_control
from time import sleep
class T... |
990,551 | b05c0cb05e2ba610cc798ab1d6239c87e79079ce | ## engine.py ###################################################################
## core game engine stuff ######################################################
################################################################################
class voidEngine:
def __init__():
#foooo
self.gameObjects = [];
|
990,552 | ecc86c2df056f09cd009772c960584bf022536fd | import xml.etree.ElementTree as etree
with open("table-input.htm", "r") as f:
read_data = f.read()
print ("File content:")
print(read_data)
tree = etree.fromstring(read_data)
with open("table-input.csv", "w") as f:
for amt, unit, item in tree.getiterator('tr'):
print("%s,%s,%s" % (amt.text, u... |
990,553 | f200f13b3815ae7f817bcac14fb2b0fc6b7ee3ac | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# author: wangfp time:2017/11/4
MONGO_URL = 'localhost'
MONGO_DB = 'taobao'
MONGO_TABLE = 'meishi'
# 查看官网获得命令行参数信息
SERVICE_ARGS = ['--load-images=false',
'--disk-cache=true']
# 注意同时修改表名
KEYWORD = '美食' |
990,554 | 1005361f5020fc6b3220c77b18e45f7a8a19e964 | from os import environ
from collections import OrderedDict
import sys
class SetupExample:
def __init__(self, help=None):
self.required_vars = OrderedDict()
self.optional_vars = OrderedDict()
self.help = help
def required_var(self, var, desc):
self.required_vars[var] = desc
... |
990,555 | 20e51ef6186f6775f054a15bd4c790a5af054b26 | # -*- coding: utf-8 -*-
# file: asgcn.py
# author: <gene_zhangchen@163.com>
# Copyright (C) 2020. All Rights Reserved.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from layers.dynamic_rnn import DynamicLSTM
class GraphConvolution(nn.Module):
"""
Simple GCN layer, similar to ... |
990,556 | 678c890f6fe48638742b2ec308f22100b69233a1 | import itertools
from colorama import Fore,Back,Style,init
init()
def win(current_game):
def all_same(l):
if l.count(l[0]) == len(l) and l[0] != 0:
return True
else:
return False
for row in game:
#print(row)
if all_same(row):
prin... |
990,557 | dcb244c310d8948936efd55a43b43a1f230ce658 | import pygame
import random
import time
pygame.init()
white = (255, 255, 255)
black = (0, 0, 0)
red = (255, 0, 0)
green = (0, 128, 0)
chrome_white = (232, 231, 226)
masala = (87, 86, 84)
redoxide = (106, 27, 27)
font1 = pygame.font.SysFont(None, 35)
font2 = pygame.font.SysFont(None, 35)
display_width = 1024
display... |
990,558 | c8f41d823d202d6ec7003a10e75cd0d92f386b07 | ##
import numpy as np
import patsy
import scipy
import statsmodels.api as sm
##
def predict(L, formula, data, level=0.95, interval="prediction", model_matrix = False):
"""
L is either a model matrix or a data frame
of the same structure like the data argument.
formula and data describe the model. ... |
990,559 | e2d799c7d21df1c1a27cc3bd90cde1c9b276908b | class Solution(object):
def topKFrequent(self, nums, k):
hash_dict = dict()
lst = list()
for num in nums:
hash_dict[num] = hash_dict.get(num, 0) + 1
for key,val in hash_dict.iteritems():
lst.append((val, key))
lst.sort(reverse=True)
res = list(... |
990,560 | b63e8dcf8f3456f87ca250abb7fb0f1372091b6b | """
Test crosss platform terminal color
https://pypi.python.org/pypi/colorama
"""
import colorama
colorama.init()
from colorama import Fore, Back, Style
print(Fore.RED + 'some red text')
print(Back.GREEN + 'and with a green background')
print(Style.DIM + 'and in dim text')
print(Fore.RESET + Back.RESET + Style.RESE... |
990,561 | 46a39f1a7dd8eb640ccee346681621b56b3a28e5 | def get_dict(filename='../data/pku_training_words.utf8'):
"""读取字典"""
d = {}
d['_t_'] = 0.0
with open(filename, "r") as f:
for line in f:
word = line.split('\n')[0]
d['_t_'] += 1
d[word] = 1
return d
d = get_dict()
def build_graph(s, big_dict):
l = le... |
990,562 | 37dea98c4a50738111f13c066ee69cb14d8b9992 | # Livro...: Introdução a Python com Aplicações de Sistemas Operacionais
# Capítulo: 07
# Questão.: Exercício Proposto 4
# Autor...: Emanuel Lázaro
# Data....: 29/10/2019
from MinhasFuncoes import *
linhas = int(input('Informe a quantidade de linhas da matriz: '))
colunas = int(input('Informe a quantidade de colunas d... |
990,563 | 66361878e5d44608b87302605b53724fe94e1bff | from __future__ import division
import torch
import math
import random
try:
import accimage
except ImportError:
accimage = None
import numpy as np
import numbers
from PIL import Image, ImageOps, ImageEnhance
import collections
import scipy.ndimage.interpolation as itpl
import scipy.misc as misc
import types
imp... |
990,564 | 1ce5c6c24162c1b07ebc8dc7bf7564954969de59 | import re
import logging
import string
import random
import inspect
import functools
import threading
from django.db import models
from django.core.cache import cache
_format_re = re.compile('%[^%]')
__all__ = ('cachelib',)
class CacheLibrary(threading.local):
cache_keys = None
chars = string.lowercase + s... |
990,565 | f3c6c4f363408b4d5f0cd7d520e43fe5ee48a2d4 | from django.shortcuts import render
from wisata.models import Wisata
from news.models import News, Agenda
from gallery.models import Video
# Create your views here.
def index(request):
news = News.objects.order_by('-created')[:2]
wisata = Wisata.objects.order_by('-created')[:2]
agenda = Agenda.objects.filter(avail... |
990,566 | fd1914d7b465350145af05ea0975c2158438abe2 | import random
from TestManager import TestManager
from TestingWay import TestingWay
from TestingWay1 import TestingWay1
from TestingWay2 import TestingWay2
import Tkinter
import time
import tkMessageBox
from TestingWay import TestingWay
class TestWindow(Tkinter.Tk):
def __init__(self,parent):
Tkinter.Tk.... |
990,567 | 38894a076252c9aedd57ff7596d978c0fd64d724 |
gender=(input("enter the gender"))
age=int(input("enter the age"))
print(gender,age)
if(gender=='F'):
print("She will work only in urban areas")
elif(20<age<40):
print("he may work anywhere")
elif(40<age<60):
print("he will work only in urban areas")
else:
print("error")
|
990,568 | 9a53f22d874f81a4d9456cc1c4fa3453d82978ab | import numpy as np
import random
from collections import namedtuple, deque
from memory import ReplayMemory, PrioritizedReplayMemory
from model import QNet, DuelingQNet
import torch
import torch.nn.functional as F
import torch.optim as optim
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
cla... |
990,569 | bee70e1b325b67699ae0733fcce9a3929ed59791 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
from __future__ import division
from fileparser import FileParser
def repl(s, i, char):
assert i < len(s)
return s[:i] + char + s[i+1:]
def solve(c_str, j_str):
all_c = [""]
all_j = [""]
for i, (c, j) in enumerate(zip(c_str, j_str)):
if c ==... |
990,570 | 1c76a97da71e128a47a1a64611acc956840383c1 | import os
import secrets
import discord
import yaml
from marshmallow.core.utilities.data_processing import user_avatar
from .item_object import RawItem, CookedItem
from .properties import rarity_names, item_colors, item_icons
class ItemCore(object):
def __init__(self, item_directory):
self.base_dir = it... |
990,571 | c1818d2df9943213cdfae57674d14428995405ec | import random
# DEFINE THE FUNCTIONS
# 1. chatbot
def chatbot():
print("Hello. I'm Chatbot. ")
user_name = get_name()
user_mood_response = get_mood(user_name)
print(user_mood_response)
if user_mood_response == "Sorry to hear that.":
print(therapist())
else:
random_question()
... |
990,572 | 711edfbbf84cb8d29bbd63d6403b1e5197db263d | # Generated by Django 2.0.4 on 2018-05-04 16:41
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('downloads', '0002_auto_20180430_1025'),
]
operations = [
migrations.AddField(
model_name='files',
name='download_url... |
990,573 | eb10a515a4132f0654be32eead1f7584eff32f33 | import re
def is_phone_number_valid(phone_number):
"""
This function returns whether a given number is a valid phone number or not.
All valid:
International Numbers
+905422672332
1 800 5551212
0543 555 1212
5425551212
18005551212
+1800 555 1212 extension65432
800 55... |
990,574 | 414b853debfe5b22afd40d131c27fd488bde999f | class Node():
def __init__(self,value):
self.value = value
self.next = None
class Stack ():
def __init__(self):
self.top = None
self.bottom = None
self.length = 0
def peek(self):
return self.top
def push (self,value):
newItem = Node(value)
... |
990,575 | 34a2c8e032073131fdb32d5ae4578d2ef6738abc | import argparse
import csv
from apiclient.discovery import build
from oauth2client.service_account import ServiceAccountCredentials
import httplib2
from oauth2client import client
from oauth2client import file
from oauth2client import tools
import creds #credentials file
SCOPES = ['https://www.googleapis.com/auth/an... |
990,576 | c4efba8854dc93d3f0e87505417023134055a6fa | ## Linear Stability of a Barotropic QG Vortex
# This is an attempted re-write of the code
# qg_BTvortex_stab_SpecFD_loop.
# provided by Francis.
import timeit
import scipy
import time
import sys
import argparse
import scipy.sparse as sp
import scipy.linalg as spalg
import numpy as np
import numpy.linalg as nlg
im... |
990,577 | d6f0dd5c587a5205dc3e3b19517b90443f991d4e | #coding=utf-8
from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains#######鼠标事件的类
import time
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
driver=webdriver.Remote(desired_capabilities=DesiredCapabilities.CHROME)
driver.get('http://www.baidu.com... |
990,578 | 02f76ae07d4bb429bf6a8319cce2aba0cb80ef58 | # Filename: compute_bmi.py
# Author: Thng Jing Xiong
# Created: 20130121
# Modified: 20130121
# Description: Program to get user weight and height and
# calculate body mass index (BMI)
# main
# prompt and get weight
weight = int(input("Enter weight in kg:"))
# prompt and get height
height = float(input("Enter heigh... |
990,579 | 408e375db7e4e6367ff2ec5fae56b96f40b8dd0b | import solaris
roof_gt = '/data/buildchange/v2/xian_fine/xian_fine_roof_gt.csv'
footprint_gt = '/data/buildchange/v2/xian_fine/xian_fine_footprint_gt.csv'
roof_pred = '/home/jwwangchn/Documents/100-Work/170-Codes/aidet/results/buildchange/bc_v014_mask_rcnn_hrnetv2p_w32_v2_roof_trainval/result_roof.csv'
footprint_pred... |
990,580 | f1467045593ca351f4b4015b706487217e1b04f2 |
class Solution:
def count_and_say(self, n):
"""
Idea: https://discuss.leetcode.com/topic/28084/simple-python-solution
Time: O(mn) where n is the num till which we calculate the sequence and m is the max length
we perform n steps and on each step you iterate over the length of the... |
990,581 | 94194425eeb77d1e6c42248574b4bd3c9bc16f02 | from django.conf.urls import url
from .views import *
urlpatterns = [
url(r'^$', BanListView.as_view(), name='ban-list'),
url(r'^(?P<id>\d+)/$', BanDetailView.as_view(), name='ban-detail'),
url(r'^(?P<id>\d+)/edit/$', BanEditView.as_view(), name='ban-edit'),
url(r'^(?P<id>\d+)/lift/$', BanLiftView.as_... |
990,582 | e5c4d46284a05c4140bc081e5001ea03d72af446 | import sys
sys.path.append('./LowerMachine')
sys.path.append('./Vehicle')
from LowerMachine import UpperMachine
from Vehicle import VehicleData_add
import FuzzyInfrerence
import TrustInfernce
import time
import datetime
def TheardMain():
'''
主线程，不断循环，完成传感器控制和推理机的控制
'''
# 先声明一个对象
my_upper_machin... |
990,583 | a6ea4887db7b52f9934a403d738f74f3ae000cbd | import sys
import json
from math import floor
import spotipy
import spotipy.util as util
keys = json.load(open('keys.json'))
username = ''
scope = 'playlist-modify-public user-top-read'
token = util.prompt_for_user_token(username, scope, client_id=keys['client_id'],
client_secret=keys['client_secret'], redi... |
990,584 | c7d990ce355d302b1f99be76137bc89414ea1570 | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 10 09:18:53 2014
@author: Greg
"""
import argparse
import os
from Bio import SeqIO
parser = argparse.ArgumentParser()
parser.add_argument('infile', type = str)
parser.add_argument('size', type = float, help="Size in GB")
args = parser.parse_args()
filename = os.path.spl... |
990,585 | 31cac69b2ea612e27d1d28ddf0fa848aca24e639 | # Generated by Django 3.1 on 2020-08-16 22:08
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('temperaturas_rf', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='sensor',
name='battery_low',
... |
990,586 | 0467660ebb0bb8699511322c96913410af73adec | from datetime import date
from factory import SubFactory
from iati.transaction.models import Transaction
from iati.transaction.models import TransactionType
from iati.factory.iati_factory import NoDatabaseFactory
from iati.factory.iati_factory import ActivityFactory
class TransactionTypeFactory(NoDatabaseFactory):
... |
990,587 | 3198b695ba5ec9caba21593fe61dea4d9826aa19 | import math
A,B,H,M = map(int,input().split())
t1 = (30*H+M/2)*math.pi/180
x1 = A*math.cos(t1)
y1 = A*math.sin(t1)
t2 = M*math.pi/30
x2 = B*math.cos(t2)
y2 = B*math.sin(t2)
d = ((x1-x2)**2+(y1-y2)**2)**0.5
print(d) |
990,588 | b60a13e54cffd44868a2bc92a363d9604fa933ca | import os
import glob
class FileUtils:
@staticmethod
def clean_directory(dir_path, ignore_pattern):
files = glob.glob(dir_path)
for file_ in files:
if not ignore_pattern in file_:
os.remove(file_)
print('File removed {}'.format(file_))
@staticme... |
990,589 | 75f1f52a9201db926f26b7e909055ae763cda132 | # -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt5 (Qt v5.11.3)
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore
qt_resource_data = b"\
\x00\x00\x02\xc0\
\x89\
\x50\x4e\x47\x0d\x0a\x1a\x0a\x00\x00\x00\x0d\x49\x48\x44\x52\x00\
\x00\x00\x18\x... |
990,590 | cde1fc4fa1c8a3fc028218f34737874d383d0b57 | # -*- encoding: utf-8 -*-
import collections
import datetime
import heapq
import re
def count_urls(urls):
top_five_urls = []
counter = collections.Counter(urls)
for url, count in counter.most_common(5):
top_five_urls.append(count)
return top_five_urls
def update_url_to_statsionary(d, url, ti... |
990,591 | 75bc77c1a1331cbd52bb0efee5358146da9d80e8 | from pico2d import *
class Key:
def __init__(self):
self.image = load_image('sprite//key.PNG')
def update(self):
pass
def draw(self):
self.image.draw(1700, 50)
|
990,592 | 29c8f8e1d07fca6057bb6aa488bd6ddcafd186b5 | from django.urls import path, re_path, include
from .views import AbstractAPIview, AnnotatedAPIview, AbstractAPIDetail, AnnotatedAPIDetail
# Wire up our API using automatic URL routing.
# Additionally, we include login URLs for the browsable API.
urlpatterns = [
path('abstracts/', AbstractAPIview.as_view(), name='... |
990,593 | b95b95d6c3c1e9cd6576eace276afa786889d8ea | from re import search
from tabulate import tabulate
from datetime import datetime
class QRelease:
"""
QRelease: the MTC release class
Args:
args(list): the command line arguments.
start(obj): a datetime object.
Attributes:
curRel(str): current release in YYYY.MM format.
curShort(str): ... |
990,594 | 9f3f9f7a02c7774469de7027de1e42f08e97de87 | # Adnan Munawar
# Testing Robot IO Loading with varying ROS Communication Load
from dvrk import arm, psm, mtm, ecm
import rospy
from geometry_msgs.msg import PoseStamped
import time
from threading import Thread
from cisst_msgs.msg import mtsIntervalStatistics as StatsMsg
class stats(object):
def __init__(self):
... |
990,595 | 91ce51f6e148a97357418ea9033c205cac68ffba | import json
import os
from deep_regression.predict import Predict
import pandas as pd
import numpy as np
from sklearn import preprocessing
from deep_regression.data_helper import TrainData
config_path = 'deep_regression/config.json'
with open(os.path.join(os.path.abspath(os.path.dirname(os.getcwd())), config_path), "r... |
990,596 | c190071016ddcb5de9ef0d9ae26441281706d14f | # template for "Stopwatch: The Game"
# define global variables
import simplegui
import random
interval = 100
time = 0
position = [140,120]
x = 0
y = 0
# define helper function format that converts time
# in tenths of seconds into formatted string A:BC.D
def format(t):
minu = int(t // 600)
if minu > 9:
... |
990,597 | 3f7a992d446519fa959988d129e56c1b282360ad | from django.db import models
from django.contrib.auth.models import User
from django import forms
from django.forms import ModelForm, ModelChoiceField
from sorl.thumbnail import ImageField
from django_summernote.widgets import SummernoteWidget
## MODELS ##
class Profile(models.Model):
user = models.ForeignKey(User)
... |
990,598 | 8ec09ed647c8aa36b0146796fbe17dc5888630dc | from __future__ import division
import os
import csv
import glob
import math
import numpy as np
import pandas as pd
from scipy.interpolate import interp1d
import matplotlib.pyplot as plt
# ---- PARAMETERS TO ADJUST ----
projectname = 'RoundSiO2FineTM'
detectornumber = '2' # Component number for rsoft monitor
filename ... |
990,599 | 2f0a6ad0359e5c37562eec28e5b799e7882d20a5 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... |
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