index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
992,800 | e2da27f305354eafc38d7172445d5dbab30d93c1 | """
@Author: huuuuusy
@GitHub: https://github.com/huuuuusy
系统： Ubuntu 18.04
IDE: VS Code 1.36
工具： python == 3.7.3
介绍： 函数科里化，参考《利用Python进行数据分析》3.2.5
"""
# 科里化指通过部分参数应用方式从已有函数中衍生出新的函数
def add_number(x, y):
return x+y
# 方法一
add_five1 = lambda y : add_number(5, y)
# 方法二
from functools import partial
add_five2 = par... |
992,801 | 654940c3d27394235438e2edf0b701eac6857428 | #!/usr/local/bin/python3
from pprint import pprint
import requests
import json
r = requests.get('https://api.sncf.com/v1/coverage/sncf/stop_areas', auth=('a930ee62-5850-42a7-9889-1a9851c1737d', ''))
pprint(r.json())
|
992,802 | efcc2feddc992d68eafab61469cce40e3b20d4fc | """
You are given a long line (a monospace font), and you have to break the line in order to respect a given width.
Then you have to format the text according to the given style: aligh to left/right, center text or justify it.
Lines of the output shouldn’t end with a whitespace.
If you have to put 2 * n + 1 spaces arou... |
992,803 | c4ec44d3379021cf494f565f34c649ae81f9fea9 | from agents import *
from envs import *
from utils import *
from config import *
from torch.multiprocessing import Pipe
from tensorboardX import SummaryWriter
import numpy as np
import copy
def main():
print({section: dict(config[section]) for section in config.sections()})
train_method = default_config['Tr... |
992,804 | 006c469447c80c4ef302105faa9f516e688321eb | # Probability of obtaining Prime Numbers as product of values obtained by throwing N dices
# Given an integer N denoting the number of dices, the task is to find the probability of the product of numbers appearing on the top faces of N thrown dices being a prime number. All N dices must be thrown simultaneously.
#
#... |
992,805 | 885c5c7f6d2bc09108b85835025f42a3a7488e30 | """Jupyter server config."""
c.SimpleApp2.configD = "ConfigD from file" # type:ignore[name-defined]
|
992,806 | a4e1f694e48f0d6013ff9b95f39926a540514cbd | # coding: utf-8
'''
给定一个包含 m x n 个元素的矩阵（m 行, n 列），请按照顺时针螺旋顺序，返回矩阵中的所有元素。
示例 1:
输入:
[
[ 1, 2, 3 ],
[ 4, 5, 6 ],
[ 7, 8, 9 ]
]
输出: [1,2,3,6,9,8,7,4,5]
解题思路：
1、将二维数组由外向内分成一圈圈
2、每圈拆分成上（从左往右）、右（从上往下）、下（从右往左）、左（从下往上）四条线，依次遍历
3、对每个圈重复第二步骤
'''
class Solution:
def spiralOrder(self, matrix):
result = []
... |
992,807 | 430c5674abd86784e0d25866f9cf8f311f6fa90b | from __future__ import unicode_literals
from django.contrib.auth.models import User
from django.db import models
from django.db.models.signals import post_save
from django.dispatch import receiver
from django.utils.encoding import python_2_unicode_compatible
from plans.models import Buyer
@python_2_unicode_compatib... |
992,808 | 8926e295c1f7b6c43a8dd2735e18fad65ad4c5cd | # -*- coding: utf-8 -*-
# Generated by Django 1.11.1 on 2017-06-14 15:20
from __future__ import unicode_literals
from django.db import migrations
import django.db.models.deletion
import smart_selects.db_fields
class Migration(migrations.Migration):
dependencies = [
('WebPortal', '0002_auto_20170614_0551... |
992,809 | 9f4592a169bafab6eb2900c7df259effe4d41453 | import sys
class CountdownCache:
def __init__(self, count=25):
self.count = count
self.__cache = {}
def set(self, key, value, count=0):
if count <= 0:
count = self.count
self.__cache[key] = {'value': value, 'count': count}
def get(self, key):
cached_pa... |
992,810 | 9b84c12291d212876a7882aca266d932b783c85b | import requests
from tkinter import *
import tkinter.font as tfont
from tkinter import messagebox
# creates window of program
root = Tk()
root.geometry('400x500')
root.config(bg='#222')
root.title('Weather App')
root.resizable(0, 0)
# creating different font sizes
font1 = tfont.Font(family='Helvetica', size=40)
font2... |
992,811 | c7ff03ea068e6d52478d4c3ed41463c1b39a4ee4 | from django import forms
from sections.messaging.models import PrivateMessage
class Compose(forms.ModelForm):
class Meta:
model = PrivateMessage
fields =('subject','receiver','content',)
class ReplyForm(forms.Form):
content = forms.CharField(widget=forms.Textarea,required=True,label="")
|
992,812 | 2efa340af12cd8f57a22918e61d7e166c4257b15 | # vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright 2013 Mellanox Technologies, Ltd
#
# 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
#
#... |
992,813 | 53a46bb5f07efe03c6cd81606d8ae08f33543e94 | from math import sqrt
import stats_batch as sb
import numpy as np
from pytest import approx
from scipy.stats import ttest_ind_from_stats
from scipy.stats import ttest_ind
def test_batch_mean_var_t_test():
n = 10_000
a = np.random.normal(size=n)
b = np.random.normal(size=n)
# First batch
# a ------... |
992,814 | e5f3d919ae885babb81ba6344c05d6790b660445 | import demjson #flickr geojson is not quite valid json, suffers from trailing commas
import sys
from shapely.geometry import asShape
import codecs
#python parse_flickr.py /path/to/flickrShapeFile.geojson | psql gaztest
#continents , counties, countries, localities, neighbourhoods, regions
def parse_flickr_geojson(fli... |
992,815 | fa9ef1bb3a5b8d3f2518d1ae56ba4b7be06e6095 | # Generated by Django 3.1.7 on 2021-04-05 10:54
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('catalog', '0001_initial'),
]
operations = [
migrations.CreateModel(
... |
992,816 | 722067b239808da1f3a27b350c140f97b0fabf19 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn import metrics
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from collections import defaultdict
from sklearn.metrics import *
from sklear... |
992,817 | 849abd7f16ce4f46ee684c458e2d0fb62c5083d6 | from django.shortcuts import render
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.models import User
from .models import Usuario, Proyecto, Tarea
from django.http import HttpResponse, HttpResponseRedirect
from django.urls import reverse
from django.contrib.auth.decorators import l... |
992,818 | b1e996cd2eb3842bdbb15f99fe1bb23caf276160 | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def subtreeWithAllDeepest(self, root: TreeNode) -> TreeNode:
def depth(node):
if not node:
r... |
992,819 | 5414a810f3469d426c275dba63f14a82826ef40a | import json
import re
import scrapy
from locations.hours import OpeningHours
from locations.items import Feature
DAY_MAPPING = {
"MONDAY": "Mo",
"TUESDAY": "Tu",
"WEDNESDAY": "We",
"THURSDAY": "Th",
"FRIDAY": "Fr",
"SATURDAY": "Sa",
"SUNDAY": "Su",
}
class QdobaSpider(scrapy.Spider):
... |
992,820 | 22579eb5b80971f2c6b5fbcbefe970bbf6dc1564 | def populate_board_with_example(board):
board[5][5] = 1
board[5][6] = 1
board[5][7] = 1
board[5][8] = 0
board[5][9] = 1
board[6][5] = 1
board[6][6] = 0
board[6][7] = 0
board[6][8] = 0
board[6][9] = 0
board[7][5] = 0
board[7][6] = 0
board[7][7] = 0
board[7][8] = 1
... |
992,821 | 11d988c9599756718733a840c47b0029aa94427c | # coding=utf-8
from subzero.lib.dict import DictProxy
from config import config
class ExcludeDict(DictProxy):
store = "ignore"
# single item keys returned by helpers.items.getItems mapped to their parents
translate_keys = {
"section": "sections",
"show": "series",
"movie": "video... |
992,822 | dbaeec4daee87aa0f30819ca23fac01a335c840d | from time import clock
import sys, os
path = os.path.dirname(__file__).split('test')[0]
sys.path.append(path + "lib/")
import numpy as np
from spectrum import Spectrum
import matplotlib as mpl
import matplotlib.pyplot as plt
plt.style.use('fivezerosix')
# import fits file and initialize stack
# spectra_path = path + ... |
992,823 | 6c8adf35cf0f0b34034fc942c8c889a797a28b0c | import sys
import os
import subprocess
import math
def run_command(command):
p = subprocess.Popen(command,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
shell=True)
return iter(p.stdout.readline, b'')
if __name__=="__main__":
pr... |
992,824 | 5f147d8c70d9f2a7df94b2f456d166b665565abf | #!/usr/bin/env python
from . import config, logdir
import logging
import sys
from multiprocessing import Process
from rq import Queue, Connection, Worker
from rq.worker import logger
rqLoggerFileHandler = logging.FileHandler(logdir + "/worker.log")
rqLoggerFileHandler.setFormatter(logging.Formatter(
fmt='%(asctime... |
992,825 | 62d9db3148f879fa2e4702515bd8c477d9dee838 | # -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2016-01-05 20:24
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tasks', '0011_auto_20160101_2208'),
]
operations = [
migrations.AddField(
... |
992,826 | 5087ee8eff13bd5b80ac9f67b581c167635e887f | # 3. Сформировать из введенного числа обратное по порядку
# входящих в него цифр и вывести на экран. Например, если
# введено число 3486, то надо вывести число 6843.
# ссылка на блок-схему
# https://drive.google.com/file/d/1Br7etzOCWARCVSA9do66tzF_1eg_xW-B/view?usp=sharing
number = int(input('Введите натуральное числ... |
992,827 | 2650e234399c19af09cd6c51c56e449916fd3356 | from sklearn.tree import DecisionTreeClassifier
from sklearn.datasets import load_iris
iris = load_iris()
features= iris.data
labels = iris.target
from sklearn.cross_validation import train_test_split
X_train, X_test, Y_train, Y_test = train_test_split (features, labels, test_size =.3)
clf = DecisionTreeClassifier(... |
992,828 | 2b0dcf8e35ef0caa51f68ced0d67430654d8edfa | #!/usr/bin/python
#created by Marquette REU team
from os.path import isfile, join
import time, os, sys, getopt
from os import listdir
#absolute path to the arduses folder where most of the files of the system are hosted
mypath="/var/www/html/MUBlocklyDuino/ardusers/"
def cleanHouse(argv):
#default
hours=0
minutes=0
... |
992,829 | 06844c296c806c31e2ed6c5737513c0e9bda1a56 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'chat.ui'
#
# Created by: PyQt5 UI code generator 5.6
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
import os
import urllib
import urllib2
import json
class Ui_Form(object):
def setu... |
992,830 | 515f0013e7938551b10b228d98d108a536e97641 | from setuptools import setup
def readme():
with open("README.md") as f:
return f.read()
setup(name="proto",
version="0.1",
description="Prototype project",
author="Daisuke Kato",
author_email="kato.daisuke429@gmail.com",
license="MIT",
packages=["proto"],
zip_sa... |
992,831 | 70f2cd702f01119646d32a621acc49fe59a48baa | def heapify(a, i, length):
n = i
le = 2 * i + 1
new_root_position = None
if le < length -1:
ri = 2 * i + 2
if a[le] >= a[ri] and a[le] > a[n]:
swap(a, n, le)
new_root_position = le
if a[ri] > a[le] and a[ri] > a[n]:
swap(a, n, ri)
n... |
992,832 | e1805aefbd0a42d6a3299dc87ed967afe61979a4 | #-------------------------------------------------------------------------------
# Name: TestData.py
# Purpose: model software licensing test data
#
# Author: wah
# Created: 18/07/2014
#-------------------------------------------------------------------------------
import json
class TestData(objec... |
992,833 | 410523634a042c0a8681ce34f87f315193333cba | # Copyright 2016 Autodesk Inc.
#
# 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... |
992,834 | 0c5f8c3f8d8eeaf6d7d1ee51897e8691c03b6d08 | import pygame
from pygame.locals import *
FPS = 30 # frames per second, the general speed of the program
WINDOWWIDTH = 580 # size of window's width in pixels
WINDOWHEIGHT = 480 # size of windows' height in pixels
REVEALSPEED = 8 # speed boxes' sliding reveals and covers
BOXSIZE = 20 # size of box height & width in pi... |
992,835 | 43868b25f8a077c68ba206b0a4e30e5b5d41bc69 | import unittest
class Solution(object):
def minMutation(self, start, end, bank):
"""
:type start: str
:type end: str
:type bank: List[str]
:rtype: int
"""
from itertools import chain
new = [start]
seen = set([start])
ATCG = 'ATCG'
... |
992,836 | 9310a5cd566dab20beb397a92c9ace6244aaa801 | #!/bin/python3
print("""\033[1;36m
@:::::::::@:@@@@@@@:@@@@@@@@@@:@:::::::@:
@@:::::::@@:@:::::@:::::@::::;;@:::::::@:
@:@:::::@:@:@:;:::@:::::@::::;:@:::::::@:
@::@:::@::@:@:::::@:::::@::::;;@@@@@@@@@:
@::;@:@:::@:@@@@@@@:::::@::::;;@;::::::@:
@::::@::::@:@:::::@::;;;@:;::;;@:::::::@;
@::::... |
992,837 | e757c41701055c463b936ee1cd8764b8fc4f4742 | import decimal
x = 23 / 1.05
print(x)
print(23 / 105)
print(decimal.Decimal(23)/decimal.Decimal("1.05")) |
992,838 | e44dbbd7733421dbe6b5e9e59bcd375bb80c2fba | fin = open('06_08_input.txt', 'r', encoding='utf8')
a = 'a'
mark_list = []
while len(a) > 0:
a = fin.readline().strip()
if a != '':
mark_list.append(a.split())
mark_list.sort(key=lambda x: x[0])
# mark_list.pop()
for name in mark_list:
print(name[0], name[1], name[3])
|
992,839 | 2f3ceb94509644a9ed7177bff8e38096ee12341f | n,k=map(int,input().split())
n+=1
lis=[]
for j in range(n,k):
i=2
k=1
while(i<j):
if(j%i==0):
k=0
break
else:
i+=1
if(k==1):
lis.append(j)
for i in range(0,len(lis)):
print(int(lis[i]),end=' ')
|
992,840 | bda16c961eddaad70fa995576d0262ead36177ab | from pytube import YouTube
yt = YouTube('http://youtube.com/watch?v=9bZkp7q19f0')
print(yt.streams.all())
# To list only audio streams:
print(yt.streams.filter(only_audio=True).all())
# To list only mp4 streams:
print(yt.streams.filter(subtype='mp4').all())
|
992,841 | d7971663b9dd2b0e9a7325dc7d4633e9c498c150 | #Discord ProtOS Bot
#
#Author: Jascha "fredi_68" Hirsekorn
#
#MegaHAL chatbot implementation
host = "localhost"
port = 50011
port2 = 50012
import os
import sys
import asyncio
import subprocess
import logging
logging.basicConfig(level=logging.INFO) #set log level
logger = logging.getLogger("MegaHAL")
wd = "bin/mega... |
992,842 | 4c2ba6ca396d1f463685783aedba6521752dd023 | from django import forms
class NameForm(forms.Form):
search_text = forms.CharField(label='search_text', max_length=100) |
992,843 | 1f0a8453b1e2cc113beb1db952ccf2452affe342 | from model import connect_to_db
from server import app, db
if __name__ == "__main__":
connect_to_db(app)
db.create_all() |
992,844 | 6f75268983f0096910955564bb629c23945241e5 | def math1(a,b,c):
pay = (a*b) / (1-((1+a)**(-c)))
return pay
def math2(a,b,c,d):
remain = (b*(1-(1+a)**(d-c))) / (1-(1+a)**(-c))
return remain
def principle(a,b):
prin= (a-b)
return prin
def interest(a,b,c):
intleft= (a)*(b)*((1/c))
return intleft
def totalint(a,b):
... |
992,845 | 50b7ecc7eda3803f24b584c1b99764e364d586cf | f_number = int(input())
s_number = int(input())
magic_number = int(input())
i = 0
match = False
for x in range(f_number, s_number + 1):
for y in range(f_number, s_number + 1):
i += 1
if x + y == magic_number:
print(f"Combination N:{i} ({x} + {y} = {magic_number})")
match = T... |
992,846 | 73a21a240a836ae3f31e19a0b57b42e6907ab702 |
# -*- coding: Utf-8 -*-
import sys
import random
import math
debug = True
player = 1
NB_PODS = 3
WIDTH = 100
HEIGHT = 100
pods = []
walls = []
checkpoints = []
MAX_TRUST = 100
EXPO = 1.2
MAX_SPEED = 1000
MIN_SPEED = 1
def next_input_must_be(value):
if input() != value:
print("expected input was '",va... |
992,847 | 55dbf87830aa8f3818f57fd0bc1fbe8c6bc21016 | """Add indexes for partial name matches
Revision ID: 77ebcc9cf355
Revises: cdcb4018dd0e
Create Date: 2022-06-04 10:40:48.710626
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "77ebcc9cf355"
down_revision = "cdcb4018dd0e"
branch_labels = None
depends_on = None
def upgrade():
# in... |
992,848 | ca00f1d5494b01e7dda13589fbd7571dbd2fda4f | from dingtalkchatbot.chatbot import DingtalkChatbot
class Ding:
def __init__(self):
self.webhook = "你自己钉钉机器人的webhook"
def send_text(self, message):
dingding = DingtalkChatbot(self.webhook)
dingding.send_text(msg=message)
|
992,849 | e045d484d954c8af8ff277371ec0572507c85736 | from django.shortcuts import render, redirect
from django.views import View
from content.models import Post, ContentTag
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
class ContentDisplay(View):
"""Single post default view"""
def get(self, request, content_id):
post = Post.ob... |
992,850 | e12188e16ba55503df36cf0ec319bf46c5f48df0 | # Created by Marcin "Cozoob" Kozub at 26.04.2021 11:45
from random import randint
def tank_a(P, S, L):
counter = 0
R = []
"""
Na kazdej stacji tankujemy do pelna i jedziemy tak daleko jak damy rade
Jezeli nasze optymalne rozwiazanie w pierwszym kroku nie jedzie tak daleko jak da rade, a... |
992,851 | c646704939a91e4b6295098301dbd5a70c66c874 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jul 28 23:22:35 2018
@author: chuxuan
"""
import sys
class Solution:
def maxProfit(prices):
r=0
l=len(prices)
if l<=1:
return 0
start=[0]*(l+1)
end=[0]*(l+1)
i=l-1
maxp=prices[-1]
... |
992,852 | 896aea09decdf97d9d58622ba9e53bc3db2d0764 | import os
import pickle
import pandas as pd
import numpy as np
class Cardio(object):
def __init__(self):
#self.smt = pickle.load(smt, open("/home/jorge/repos/pa001_cardio_catch_diseases/parameter/smt.pkl", "rb"))
self.scaler_ap_lo = pickle.load(open("/home/jorge/repos/pa001_cardio_cat... |
992,853 | 403bbf59b0db7373fd1f5d58036f5c730028d45f | #!/usr/bin/python
from ubi.defines import PRINT_COMPAT_LIST, PRINT_VOL_TYPE_LIST, UBI_VTBL_AUTORESIZE_FLG
def ubi(ubi, tab=''):
print '%sUBI File' % tab
print '%s---------------------' % tab
print '\t%sMin I/O: %s' % (tab, ubi.min_io_size)
print '\t%sLEB Size: %s' % (tab, ubi.leb_size)
print '\t%s... |
992,854 | 697b082776333cab44b8fcd565fcf933e27cf4e6 | import cartadmin
import clientadmin
import orderadmin
import productadmin
|
992,855 | c96b4a7aa9a6a26ea4b8ac7e66afa828d9a5edfe | import requests
from flask import Flask, request, send_from_directory, send_file, g
from flask_cors import CORS
import csv
import logging
import json
import sqlite3 as sql
app = Flask(__name__)
CORS(app, resources=r'/*')
DATABASE = "data/annotations.db"
# This returns the database connection instance for the current ... |
992,856 | 2ccf6282292dea6c0a09aabaab2d6cfd098722ee | def add():
a=input('enter the value')
b=input('enter the value ')
c=a+b
return c
|
992,857 | ed760c5ed68cca9bd8ca9f82721672d53b528537 | import json
import sys
import os
import calendar
import requests
from flask import Flask, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS, cross_origin
from sqlalchemy.exc import StatementError
from datetime import datetime, timedelta
app = Flask(__name__)
app.config['SQLALCHEMY_... |
992,858 | 65352eb7f9305c3f4fb946f7892592a9b8047438 | import numpy as np
import torch
from networks import Generator, Discriminator, Downsampler
CHANNELS = [16, 16, 32, 64, 128, 256]
resume = 'exp/resume_official_train_5/epoch_44.pth'
def random_latent_vectors(batch_size, latent_dim):
return np.random.randn(batch_size, latent_dim, 1, 1)
g = Generator(6, 32, CHANN... |
992,859 | 8cb620d7f4733efd4ee852c56684bb2fda579a36 | #!/usr/env/bin python3
"""
Main utility for logging sensor data to database /
regular picture uploads.
"""
import datetime
import configparser
from loguru import logger
import os
import time
import uuid
from adafruit_htu21d import HTU21D
import board
import busio
import cowsay
from dotenv import load_dotenv
import p... |
992,860 | 1c25024f83b989005b1fe235e4802e36fa7349ff | """
the Dynamic Host Configuration Protocol (DHCP) for IPv6
http://www.networksorcery.com/enp/rfc/rfc3315.txt
"""
from construct import *
from ipv6 import Ipv6Address
import six
dhcp_option = Struct("dhcp_option",
Enum(UBInt16("code"),
OPTION_CLIENTID = 1,
OPTION_SERVERID = 2,
OPTION_IA_N... |
992,861 | 4a7e165a2b81a4fc9f5bbcc3a44c69d855b4e3eb | K, C, A = input().split(' ')
k = int(K)
batik = [[C for i in range(k)]for j in range(k)]
for x in range(k):
batik[x][x] = A
batik[k-1-x][x] = A
for c in range(k):
for d in range(k):
if d == k-1:
print(batik[c][d])
else:
print(batik[c][d], en... |
992,862 | 6b0deac33281e511f26ff049c8f5dc38d5ed5dd8 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
dataset = pd.read_csv('/Users/savita/desktop/ML_proj/Simple_Linear_Regression/Salary_Data.csv')
x= dataset.iloc[ : , 0].values
y= dataset.iloc[ : , 1].values
from sklearn.cross_validation import train_test_split
x_train , y _train , x_test , y... |
992,863 | 8b3d6e607d5f2e369a21f5d25beb2db3af4de2f9 | #! /usr/bin/env python3
import pygame
import matplotlib
matplotlib.use ("Agg")
import matplotlib.backends.backend_agg as agg
import matplotlib.pyplot as plt
from app import App
from constants import ORIGIN
# https://stackoverflow.com/questions/13714454/specifying-and-saving-a-figure-with-exact-size-in-pixels
def p... |
992,864 | ac4040c65d2d7734eb987cc10ca4000dc3183434 | from __future__ import annotations
from typing import overload
from prettyqt import animations, widgets
from prettyqt.utils import listdelegators
class StackedWidget(widgets.FrameMixin, widgets.QStackedWidget):
"""Widget containing stack of widgets where only one widget is visible at a time."""
def __init_... |
992,865 | bb6ff086e85cc1bb2a42f10025b8fd377f0b1b65 | """ Main entry point of the ONMT library """
import onmt.inputters
import onmt.encoders
import onmt.decoders
import onmt.models
import onmt.utils
import onmt.modules
from onmt.trainer import Trainer
|
992,866 | b321aae87bb8643ca7fcdab2f24ea06b08f2f059 | import sys,re
filename = sys.argv[1]
Size=sys.argv[2]
size=int(Size)
lines = []
with open(filename) as f:
lines = f.readlines() #read all lines
for line in lines:
line=line[:-1]+' ' #remove newline and add space at end
spaces=[m.start() for m in re.finditer(' ', line)] #find spaces in the line
cutline=[0... |
992,867 | 143198f5d34236489f012f8482897bb5232f12eb | #!/usr/bin/env python
"""Test the RegisterOutputData class"""
import sys
import unittest
from mock import patch, MagicMock as Mock
from ILCDIRAC.Tests.Utilities.GeneralUtils import assertEqualsImproved, assertDiracFailsWith, \
assertMockCalls, assertDiracSucceedsWith
from ILCDIRAC.Workflow.Modules.RegisterOutputDat... |
992,868 | 1e9818366d8e4c67403d41c9f69a3c07babbec89 | import argparse
import numpy as np
import PIL
def get_parser():
parser = argparse.ArgumentParser()
parser.add_argument('image_folder', help='path to images')
parser.add_argument('annotations', help='path to annotations')
parser.add_argument('boxes', help='path to bounding boxes')
return parser
def... |
992,869 | d766d0a955a397217c2c5394efee1536ce7e87c0 | # -*- encoding: UTF-8 -*-
from mongoengine import *
import flask
app=flask.Flask(__name__)
app.secret_key = '123456'
#
#为了解决下面这个错误！！！！！！
#The session is unavailable because no secret key was set.
#Set the secret_key on the application to something unique and secret.
#
#用ORM操作数据库
connect('test')
class User(Document... |
992,870 | bde8c51f0c1ec2b7d69893e7c507a9c115102f95 | from __future__ import division
import csv
import sys
import random
from efficiency.log import fwrite
def read_mr():
contents = []
for ix, pos_neg in enumerate(['neg', 'pos']):
file = '../data/mr/rt-polarity.{}'.format(pos_neg)
with open(file, 'rb') as f:
contents += [[str(ix + 1),... |
992,871 | 365ad46dddaf5761007a6439caf1a8d0128bda89 | import sys
from PyQt5.QtWidgets import *
from PyQt5 import QtWidgets
from PyQt5.QtGui import *
from PyQt5 import QtGui
import home_window
from test2_question1_window import Test2_Question1_Window
class Test2_StartWindow(QtWidgets.QMainWindow, QPushButton):
def __init__(self, parent=None):
super().__init__(... |
992,872 | 450fada6104ed7776d214bf7c1a261b7706c45a0 | #!/usr/bin/python3
import subprocess
def connect_hint():
print("please do: \nsudo snap connect hwlog:time-control;sudo snap connect hwlog:hardware-observe")
def system(command):
return subprocess.check_output(command).decode('utf-8').strip()
def hwlog_main():
print("uptime: {0}".format(system("uptime")))... |
992,873 | 1f5e0ed58a95254a1bfcea8abde1a1eb4c6cc31e | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import os
class GamecrawlPipeline(object):
def process_item(self, item, spider):
base_dir = os.getcwd()
fo... |
992,874 | e65c20e0e232c55cf933f5e773d2bfbaa97285da | import tensorflow as tf
from tensorflow.keras.layers import DenseFeatures, Dense
from easyrec import blocks
class DCN(tf.keras.models.Model):
"""
Deep & Cross Network (DCN).
Reference: Ruoxi Wang et al. Deep & Cross Network for ad Click Predictions. ADKDD. 2017.
"""
def __init__(self,
... |
992,875 | 4ca592e395498fbc3757a513d6a181a71ea89c0b | from django.contrib import admin
from .models import TestInfo
class TestInfoAdmin(admin.ModelAdmin):
def save_model(self, request, obj, form, change):
if not change:
obj.Uploader_info = request.user.username
obj.save()
admin.site.register(TestInfo, TestInfoAdmin)
|
992,876 | 4144342dc908fb6a18d26bedfe9f382dca52fd80 | from django.db import models
class Article(models.Model):
nom = models.CharField(max_length=200)
stock = models.PositiveIntegerField()
def __str__(self):
return 'Article: {}'.format(self.nom)
class Vente(models.Model):
article = models.ForeignKey(Article, on_delete=models.CASCADE)
date ... |
992,877 | 0cd16cc707882e858e48021e2b3d7172e050038c | import copy
state = []
with open("Input.txt", "r") as f:
line = f.readline()
while line:
state.append([i for i in line.replace("\n", "")])
line = f.readline()
prev = []
while not state in prev:
prev.append([copy.copy(i) for i in state])
for y in range(len(state)):
for x in range(len(state[y])):... |
992,878 | 82c910d355c57fd76638a0e271596592e1904452 | from PIL import Image
imga = Image.open('b.jpg')
imgb = Image.open('c.jpg')
Image.blend(imga,imgb,0.5).show() |
992,879 | 3a584db2eb5e3d0ee8dc5323fd8040489ba261d5 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import six
from tframe import tf
from tframe.utils import checker
from tframe.utils.arg_parser import Parser
def relu(input_):
if input_.dtype in [tf.complex64, tf.complex128]:
with tf.name_scope("c_... |
992,880 | e8a19c435ea9a7dcf0170da2e00248adcf697ef0 | def parse_binary(code):
if len(code) == 0 or any([x not in ['0', '1'] for x in code]):
raise ValueError
return sum([2 ** i if x == '1' else 0 for i, x in zip(range(len(code)), reversed(code))])
|
992,881 | 850075d5b7d413117dbf98e7fb51c5947fbab2c3 | """"""
# Standard library modules.
import os
import enum
# Third party modules.
import h5py
# Local modules.
import pymontecarlo
from pymontecarlo.util.path import get_config_dir
from pymontecarlo.util.signal import Signal
from pymontecarlo.entity import EntityBase, EntryHDF5IOMixin
# Globals and constants variable... |
992,882 | f9cef65415410192a57bdff7e3194183d93acb0f | from os import environ
from flask import Flask, redirect, url_for, render_template, \
flash, session, request, jsonify
from functools import wraps
from forms import LoginForm, SignupForm, \
EmailResetPasswordForm, ResetPasswordForm, \
SearchForm
from models import db, User, Search
from flask_mail import Mai... |
992,883 | 8366a4856468eb95335343e530ecdc375bd24eee | #lex_auth_0127136021907046401165
def find_upper_and_lower(sentence):
#start writing your code here
c=0
d=0
for i in sentence:
if i.islower():
c+=1
elif i.isupper():
d+=1
result_list=[d,c]
return result_list
sentence="Come Here"
print(fin... |
992,884 | f79a2238cd5bd687425251eb531565795c333120 | import csv
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.svm import SVR
from f_functions import *
import sys
sys.path.insert(0, '/home/ben/Documents/proj.0.1/f_functions')
from f_functions import holder
import pandas as pd ... |
992,885 | fe686285f2499f86abcfb683e8875d68f4ac495d | # -*- coding: utf-8 -*-
# @author = himkt
# @create = 2015/07/20
'''
20. JSONデータの読み込み
Wikipedia記事のJSONファイルを読み込み，
「イギリス」に関する記事本文を表示せよ．
問題21-29では，ここで抽出した記事本文に対して実行せよ．
'''
import json
w = open('../data/jawiki-country-uk.txt', 'w')
for line in open('../data/jawiki-country.json', 'r'):
record = json.loads(line)
... |
992,886 | f4b78ca5a795f8be355dd2642536c17a1cee5f50 | import os
import gym
import numpy as np
from gym import error, spaces, utils
from gym.utils import seeding
from ctypes import *
import random
import pybullet as p
import time
cwd_path = os.getcwd()
'''
* in raisim the real value is in the first and py bullet its in the last
* the end effector co - ordinates should be w... |
992,887 | bc9ee56a9c570d8e46fb2b8ba05a4b5994a2eed5 | n = int(input())
a, b = map(list, input().split())
if len(a) == len(b):
for i in range(0, len(a)):
print(a[i] + b[i], end = "") |
992,888 | a26a16db12a3cc00dc1c371dbf53f1e53443e090 | #!/usr/bin/env python3
from math import ceil, log2
import itertools
UPDATE = 'U'
QUERY = 'Q'
def read_ints():
return [int(i) for i in input().split()]
def read_int_arr():
return list(map(int, input().split()))
def parse_query(line):
op, x, y = line.split()
return op, int(x), int(y)
def read_input():
num_... |
992,889 | c2a2eaa5b90027ddd32e982a594090a9c69c4663 | # Window - Preferences - PyDev - Interpreters - Python Interpreter - Forced builtins - new... - antlr4
# https://stackoverflow.com/questions/2112715/how-do-i-fix-pydev-undefined-variable-from-import-errors
from antlr4 import * #@UnusedWildImport
from ansonpy.JSONLexer import JSONLexer
from ansonpy.JSONListener import ... |
992,890 | 8729645f08ea4b66f647a3aabea7079d1ceda431 | import os
def loadRules():
print(os.listdir())
f = open('./Compiler/Strings/rules.ro', 'r')
contentInArchive = f.readlines()
lista = []
for i in contentInArchive:
lista.append(i.rstrip())
return(lista)
class StringProcessor():
def __init__(self, session):
self.session = ses... |
992,891 | 7955d2b163316f6018e1f76ae8bdad0d4a9d73ea | '''
Created on March 12th, 2018
author: Julian Weisbord
sources:
description:
'''
import sys
from clothing.clothing_em import ClothingEM
from body_type.body_type_classifier import BodyTypeClassifier
from load_data import LoadData
DEFAULT_LIVE_IMG_PATH = '../data_capture/live_input/imgs/'
DEFAULT_INDIVIDUAL_IMG_PATH = ... |
992,892 | f4f7643a2b5d6870e64c23668727cf08df5b3065 | import os
import json
import random
from argparse import ArgumentParser
sep = "#"
def construct_p2v_dictionary(path_prefix):
path_file_path = path_prefix + ".path"
vectors_file_path = path_prefix + ".c2v.vectors"
save_path = path_prefix + ".p2v.vectors"
dic_file = open(path_file_path, 'r', encoding=... |
992,893 | 877e523945186097eff743d6ea17da9533e18934 | import functools
import time
import io
import win32file
import win32pipe
import pywintypes
import win32event
import win32api
cERROR_PIPE_BUSY = 0xe7
cSECURITY_SQOS_PRESENT = 0x100000
cSECURITY_ANONYMOUS = 0
MAXIMUM_RETRY_COUNT = 10
def check_closed(f):
@functools.wraps(f)
def wrapped(self, *args, **kwargs)... |
992,894 | 5a8dd925ba10bcd000963271bf8787d00c030d77 | from ugc.models import Post
from like.models import Like, Likeable
from django.db.models.signals import post_save, pre_save, pre_delete, post_delete
from django.contrib.contenttypes.models import ContentType
from django.db.models import Q
from django.shortcuts import get_object_or_404
def recount_rating(num, post):
... |
992,895 | ef620d8bd409ebb11c52279d072989cc3cc58ccc | ## This file will set up the database models and structure for the flask API to make calls to the database.
## This file will also be used to help with the data base migrations
## It serves the prupose for creating new data tables however data tables must be updated with the manage.py file.
#from sqlalchemy import all
... |
992,896 | 93bbf625dd0b6f9673437b891e6ce5b0ece1976f | import glob
import os
import csv
from itertools import islice
import math
import regex as re2
# Pre-defined variables
folder_path = 'Dataset' # Folder containing the datasets
row_count = 6587830 # No. of Dialogues
rate = 2785.5153203342757 # No. of entries read per second
def char_preprocess(text):
# Removing Pun... |
992,897 | 971b845e4d90a1904e013e48bd61d6e0c165d2da | from django.http import HttpResponse
from django.shortcuts import render
def index(request):
return render(request, 'index2.html')
def analyze(request):
mystring = request.POST.get('text')
removepunc = request.POST.get('removepunc')
charcount = request.POST.get('charcount')
punctuations = '''!()... |
992,898 | d24f223e3a0a784c07287b3ec58a8e73b6ad3433 | import os
import pytest
from basicRegex import basic_regex
def test_short_regex_positive():
regex_string = ".*."
check_string_pos = "ab"
assert (basic_regex.regex(regex_string, check_string_pos))
def test_short_regex_negative():
regex_string = ".*."
check_string_neg = "a"
assert (not basic... |
992,899 | f136029d955443ce7290f84372d2125acc114c7a | import csv
from django.core.management.base import CommandError
from django.template.loader import get_template
from django.template import Context
from django.conf import settings
from django.core import mail
from django.contrib.auth.models import User
from .. import auth
def from_csv(filename, org_parent_or_ccg_m... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.