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# -*- coding: utf-8 -*-
"""
author SparkByExamples.com
"""
import pyspark
from pyspark.sql import SparkSession
from pyspark.sql.functions import split, col
spark=SparkSession.builder.appName("sparkbyexamples").getOrCreate()
data=data = [('James','','Smith','1991-04-01'),
('Michael','Rose','','2000-05-19'),
('Robe... |
from bisect import bisect_right
from logging import getLogger
from typing import Any, Dict, List, Optional, Union
from dgl import BatchedDGLGraph, unbatch
from pytorch_lightning import data_loader, LightningModule
from torch import stack as torch_stack, Tensor
from torch.nn import LogSoftmax, Module, NLLLoss
from torc... |
from pathlib import Path
import re
import torchaudio
def remove_non_alphanumeric(text):
return re.sub(r'[\W_]+', '', text)
def load_data(path_str: str):
"""
Yields waveform and text from a given transcription folder
"""
path = Path(path_str)
with open(path / "metadata.csv") as f:
li... |
# Generated by Django 2.1 on 2018-09-30 13:23
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('election', '0003_candidate_election_id'),
]
operations = [
migrations.AddField(
model_name='election',
name='election_... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
#!/usr/bin/python
# ~~~~~============== HOW TO RUN ==============~~~~~
# 1) Configure things in CONFIGURATION section
# 2) Change permissions: chmod +x bot.py
# 3) Run in loop: while true; do ./bot.py; sleep 1; done
from __future__ import print_function
import sys
import socket
import json
# ~~~~~==============... |
#!/usr/bin/env python
import argparse
import pathlib
from collections import defaultdict
DEFAULT_CPP_VERSION = '20'
SRC_CMAKE_NAME = 'CMakeLists-default'
DEST_CMAKE_NAME = 'CMakeLists.txt'
SRC_MAIN_NAME = 'main-default'
DEST_MAIN_NAME = 'main.cpp'
def create_directories(proj):
p = pathlib.Path(__file__).paren... |
# -*- coding: utf-8 -*-
"""
Created on Tue May 19 22:28:09 2020
@author: lansf
"""
from __future__ import absolute_import, division, print_function
import os
import pkg_resources
import numpy as np
from ase.io import read
from .vasp_dos import VASP_DOS
from .coordination import Coordination
import itertools
from scip... |
# coding: utf-8
#
# Copyright 2018 The Oppia Authors. All Rights Reserved.
#
# 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 requi... |
from search_engine_parser import GoogleSearch
import asyncio
def google(query):
asyncio.set_event_loop(asyncio.new_event_loop())
final_result = ''
try:
linkIndex = 0
search_args = (query, 2)
gsearch = GoogleSearch()
gresults = gsearch.search(*search_args)
queryRes... |
from itertools import accumulate as ac
N, K = map(int, input().split())
*S, = map(int, input())
l = []
c = 0
if N==1:
l.append(S[0])
else:
for i in range(N-1):
c += 1
if S[i]!=S[i+1]:
l.append(c)
c = 0
if c:
l.append(c+1)
if S[0]==0:
l = [0]+l
if S[-1]... |
from django.shortcuts import render
from django.http import HttpResponse
# Create your views here.
posts = [
{
'author' : 'Sayan Manik',
'title' : 'Blog post 1',
'content' : 'First Post Content',
'date_posted' : 'May 25, 2019'
},
{
'author' : 'Corey MS',
't... |
#coding:utf-8
import win_unicode_console
import math
import random
win_unicode_console.enable()
w_list = []
w_score = []
w_dict = []
c = 0
def lis_2_dic(key_list, val_list):
return dict(zip(key_list, val_list))
#step幅決めてrange指定
def drange(begin, end, step):
n = begin
while n + step < end:
yield n
... |
# -* encoding:utf-8 *-
from appium import webdriver
import time
import unittest
import os
import math
class AutoTest(unittest.TestCase):
def test_setUp(self):
desired_caps = {
'platformName' : 'Android', #测试平台的名称
'deviceName' : '192.168.56.101:5555', #连接的设备号,通过adb devices查看所... |
from numpy import*
from numpy.linalg import*
x=array(eval(input("")))
a=zeros(x.shape[1], dtype=int)
for j in range(x.shape[1]):
a[j]=sum(x[:,j])
for j in range(x.shape[1]):
if a[j]==max(a):
if j+1==1:
print("1")
if j+1==2:
print("2")
if j+1==3:
print("3")
if j+1==4:
print("4")
if j+1==5:
... |
tabla = int (input("Que tabla?:"))
for v in range (1 ,11 ,1 ):
print(f"{tabla} x {v} = {tabla*v}")
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class ExpenseCtrlEmployeeRuleInfo(object):
def __init__(self):
self._effective = None
self._effective_end_date = None
self._effective_start_date = None
self._owner_type ... |
#!/usr/bin/python
import sys
import csv
import serial
import os
from itertools import izip
from ctypes import *
from struct import pack, unpack
import struct
import binascii
# Test_branch changes
# Test_bracnh changes 2
# add string
t = 0
f = open('/home/kalach/workfile.csv', 'wb')
ser = serial.Serial('/dev/rfcomm0'... |
# The knows API is already defined for you.
# return a bool, whether a knows b
def knows(a: int, b: int) -> bool:
return True
class Solution:
def findCelebrity(self, n: int) -> int:
# find candidate for celebrity
# when left and right meet at a point, this person is a potential celebrity
... |
# -*- coding: utf-8 -*-
"""Tests for pybaselines._compat.
@author: Donald Erb
Created on March 20, 2021
"""
from numpy.testing import assert_array_equal
import pytest
from pybaselines import _compat
from .conftest import _HAS_PENTAPY
def test_pentapy_installation():
"""Ensure proper setup with pentapy."""
... |
from snovault import upgrade_step
from . import _get_biofeat_for_target as getbf4t
@upgrade_step('experiment_repliseq', '1', '2')
def experiment_repliseq_1_2(value, system):
if value['experiment_type'] == 'repliseq':
value['experiment_type'] = 'Repli-seq'
@upgrade_step('experiment_repliseq', '2', '3')
d... |
# -*- coding: utf-8 -*-
# @Time : 2019/9/7 18:09
# @Author : LI Dongdong
# @FileName: lc 208.py
class TrieNode:
def __init__(self):
# 是否构成一个完成的单词
self.is_end = False
self.children = [None] * 26
class Trie:
def __init__(self):
"""
Initialize your data structure here... |
import tensorflow as tf
import numpy as np
import load_cifer10
import random
np.random.seed(20160612)
tf.set_random_seed(20160612)
# ネットワーク構成
class layer:
def __init__(self):
with tf.Graph().as_default():
self.prepare_model()
self.prepare_session()
def prepare_model(self):
... |
import sys
from random import randint
from PyQt5 import uic, QtCore, QtWidgets
from PyQt5.QtGui import QPainter, QColor
from PyQt5.QtWidgets import QApplication
from PyQt5.QtWidgets import QMainWindow
from UI import Ui_MainWindow
class YellowEllipses(QMainWindow, Ui_MainWindow):
def __init__(self):
super... |
# 1
# name = input("What is your name?: \n")
# print("Hello " + name)
# 2
# x = 10
# print(x)
#3
# personNumber = int(input("Choose any whole number: \n"))
# if personNumber > 10:
# print("Your number is greater than 10")
# elif personNumber < 10:
# print("Your number is less than 10")
# else:
# print("Your n... |
# Load libraries
import pandas
from pandas.plotting import scatter_matrix
import matplotlib.pyplot as plt
from sklearn import model_selection
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
from sklearn.linear_model import Percept... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('basic', '0029_auto_20160317_2257'),
]
operations = [
migrations.CreateModel(
name='Base',
fields=[
... |
# -*- coding: utf-8 -*-
import unittest
import datetime
from pyboleto.bank.bradesco import BoletoBradesco
from testutils import BoletoTestCase
class TestBancoBradesco(BoletoTestCase):
def setUp(self):
self.dados = []
for i in range(3):
d = BoletoBradesco()
d.carteira = '0... |
#!/usr/bin/env python
import logging
from ProdAgentCore.Codes import errors
from ProdCommon.Database import Session
from ProdMgrInterface import MessageQueue
from ProdMgrInterface.Registry import registerHandler
from ProdMgrInterface.States.StateInterface import StateInterface
from ProdMgrInterface.States.Aux impor... |
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_bcrypt import Bcrypt
from flask_login import LoginManager
app = Flask(__name__)
app.config['SECRET_KEY']='57ba628bb0b13ce0c676dfde280ba245'
app.config['SQLALCHEMY_DATABASE_URI']='sqlite:///site2.db'
app.config['SQLALCHEMY_TRACK_MODIFICATION... |
# class A:
# def __init__(self):
# print "enter A"
# print "leave A"
# class B(A):
# def __init__(self):
# print "enter B"
# A.__init__(self)
# print "leave B"
class A(object):
def __init__(self):
print "enter A"
print "leave A"
class C(object):
def __init__(self):
print "enter C"
print "le... |
import json
import numpy as np
import datetime
import pandas as pd
name = "Paul Millsap"
with open("./../data/player_monthly_PER.json") as fp:
data = json.load(fp)
date = list()
pers = list()
mt = range(1 , 13)
mt = map(lambda x : "%02d" % x , mt)
yt = range(2006 , 2017)
yt = map(str , yt)
result = dict()
fo... |
#coding:utf8
import downloader
from translator import tr_
from utils import Soup, Session, query_url, get_max_range, Downloader, clean_title, update_url_query, get_print, get_ext, LazyUrl, urljoin, check_alive
import ree as re
import errors
from ratelimit import limits, sleep_and_retry
from error_printer import print_e... |
from django.shortcuts import render
from .forms import ViewAvailableCourse
# Create your views here.
def view_course(request):
if request.method=="POST":
form=ViewAvailableCourse(request.POST)
if form.is_valid():
form.save()
else:
print(form.errors... |
# -*- coding:utf-8 -*-
__author__ = 'gzs2473'
from PyQt4 import QtCore
from PyQt4 import QtGui
from ui.Ui_room import Ui_room_window
from table_widget import TableWidget
from play_window import PlayWindow
from custom_dialog import CustomDialog
class RoomWindow(CustomDialog, Ui_room_window):
send_signal = QtCore... |
def diagonalDifference(arr: list[list], size: int) -> int:
"""[summary]
Args:
arr (list[list]): [description]
size (int): [description]
Returns:
int: [description]
"""
d1 = 0
d2 = 0
for i in range(size):
for j in range(size):
if i == j:
... |
import unittest
from migrator import main
class TestMain(unittest.TestCase):
def test_parse_uri(self):
testcases = [
{
'uri': 'localhost',
'host': 'localhost',
'port': 6379,
'db': 0,
},
{
... |
from os.path import join
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from matplotlib.colors import ListedColormap
from .settings import *
class Figure:
"""
Base class for figures providing some common methods.
Attributes:
name (str) - figure name
directory ... |
# Author: Jaemin Jo <jmjo@hcil.snu.ac.kr>
import numpy as np
from pynene import Index
class KNNKernelDensity():
SQRT2PI = np.sqrt(2 * np.pi)
def __init__(self, X, online=False):
self.X = X
self.index = Index(X, w=(0.8, 0.2), reconstruction_weight=5)
if not online: # if offlin... |
from instapy import InstaPy
session = InstaPy(username='XXXXXXX', password='XXXXXXX',
headless_browser=False)
session.login()
session.unfollow_users(amount=1000,
allFollowing=True,
unfollow_after=0,
sleep_delay=601)
... |
# -*- coding:utf-8 -*-
# @Time : 2020/7/29
# @Author : Stephev
# @Site :
# @File : Payment.py
# @Software:
import pymysql
import csv
import datetime
#D:\workpalce\csv_file
now_time_r = datetime.datetime.now()
now_time = datetime.datetime.strftime(now_time_r,'%Y-%m-%d_%H_%M')
class cnMySQL:
def __init... |
from abc import abstractmethod
class Detector(object):
def __init__(self, data_train, data_test, labels_train, extra_parameter):
assert len(data_train) == len(labels_train), "Mismatch size"
self.data_train = data_train
self.data_test = data_test
self.labels_train = labels_train
... |
#!/usr/bin/python
from matplotlib import pyplot
if __name__ == '__main__':
with open('walk-record.txt') as f:
lines = f.readlines()
score = [float(k) for k in [_[:-1].split(',')[-1] for _ in lines]]
pyplot.plot(score, '.')
pyplot.title('walk score as times')
pyplot.xlabel('try times')
... |
APPINFO_JSON = {u'sdkVersion': u'3', u'uuid': u'b3578af5-8a89-4a1d-9437-060a0b481c9e', u'appKeys': {u'AppKeyReady': 0, u'AppKeyUrl': 2}, u'companyName': u'Andrea Cerra', u'enableMultiJS': True, u'versionLabel': u'1.0', u'targetPlatforms': [u'aplite', u'basalt', u'chalk'], u'longName': u'PebbleHttp List', u'shortName': ... |
# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
{
'name': "SO - Product Price Check",
'version': '10.0.1.0.0',
'category': 'Sales Management',
'description': """
This module restricts a user from confirming a Sale Order/Quotation
if it ... |
class Solution:
def twoSum(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[int]
"""
for i in range(len(nums)):
if i != len(nums):
for j in range(i+1, len(nums)):
if nums[i]+nums[j] ... |
from definitions import PIS_OUTPUT_INTERACTIONS
import logging
import json
import requests
import gzip
import pandas as pd
import re
from io import BytesIO
from .DownloadResource import DownloadResource
import python_jsonschema_objects as pjo
from .common import replace_suffix
logger = logging.getLogger(__name__)
cl... |
# -*- coding: utf-8 -*-
"""
Created on Sat Dec 22 21:10:18 2018
@author: Gehad
"""
import pandas as pd
from itertools import combinations
def calc_p_class(trainingData,Class):
count=0
for i in range(0,len(trainingData)):
for j in range(0,7):
if trainingData[i][j]==Class:
c... |
from netmiko import ConnectHandler
from netmiko.ssh_exception import NetMikoTimeoutException
from netmiko.ssh_exception import AuthenticationException
from paramiko.ssh_exception import SSHException
import sys
host1 = {
'device_type': 'cisco_ios',
'ip': '10.4.0.17',
'username': 'Admin',
'password': 'NterOne1!',
}
hos... |
import os
import re
import logging
from lxml import etree
from blogilainen.plugins import BasePlugin
class Plugin(BasePlugin):
def run(self, source, resource):
target_meta = etree.Element('target-meta')
for ext,t in source.targets.iteritems():
target = etree.Element('target', type=ext... |
# -*- coding: utf-8 -*-
from django.db import models
from django.conf import settings
from django.core.urlresolvers import reverse_lazy
class Entry(models.Model):
name = models.CharField(verbose_name=u'Заголовок', max_length=255)
date_create = models.DateTimeField(verbose_name=u'Дата создания',
... |
"""
ASGI entrypoint. Configures Django and then runs the application
defined in the ASGI_APPLICATION setting.
"""
import os
# Fetch Django ASGI application early to ensure AppRegistry is populated
# before importing consumers and AuthMiddlewareStack that may import ORM
# models.
from django.core.asgi import get_asgi_a... |
# -*- coding: cp936 -*-
# 绪论案例:Boston房价
# %matplotlib inline
import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn.feature_selection import SelectKBest,f_regression
from sklearn.linear_model import LinearRegression
from sklearn.svm import SVR
from sklearn.ensemble import RandomForestRegressor
bos... |
# Dependencies
from bs4 import BeautifulSoup
import requests
from splinter import Browser
from selenium import webdriver
import pandas as pd
import time
def init_browser():
executable_path = {"executable_path": "/usr/local/bin/chromedriver"}
return Browser("chrome", **executable_path, headless=False)
def... |
import random
def calcBayes(priorA, probBifA, probB):
"""priorA:A独立于B时的初始概率估计值
probBifA:A为真时,B的概率估计值
probB:B的概率估计值
返回priorA*probBifA/probB"""
return priorA*probBifA/probB
# priorA = 1/3
priorA = 0.9
prob6ifA = 1/5
prob6 = (1/5 + 1/6 + 1/7)/3
# postA = calcBayes(priorA, prob6ifA, prob6)
# ... |
from sardana.macroserver.macro import Macro, macro, Type
@macro()
def altOn(self):
"""Macro altOn"""
acqConf = self.getEnv('acqConf')
acqConf['altOn'] = True
self.setEnv('acqConf', acqConf)
self.info('switching altOn')
@macro()
def altOff(self):
"""Macro altOff"""
acqConf = self.getEnv... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import traceback
from .auth import braintree
from .managers import CustomerManager
# from .tasks import send_funds
from model_utils.models import TimeStampedModel
from delorean import Delorean
from jsonfield.fields import JSONField
from django.conf impo... |
import json
from django.contrib.auth import get_user_model
from django.core.cache import cache
from django.http import HttpResponse
from django.shortcuts import get_object_or_404
from django.utils.decorators import method_decorator
from django.views.decorators.csrf import csrf_exempt
from rest_framework import viewsets... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render,redirect,HttpResponse
from models import *
def index(request):
return render(request,'users/index.html')
def show(request):
context = {"User":User.objects.all()}
print User.objects.all()
return... |
def insertionSort(alist):
for index in range(1,len(alist)):
currentvalue = alist[index]
position = index
while position>0 and alist[position-1]>currentvalue:
alist[position]=alist[position-1]
position = position-1
alist[position]=currentvalue
print " ".join(map(str, alis... |
import torch
import torch.utils.data
import torchvision
import numpy as np
def make_weights_for_balanced_classes(labels,classes):
labels = np.array(labels)
#print(labels)
weights=[]
outs=[]
weight = 1./ len(labels)
for ic in range(classes):
weights.append(weight/(labels==ic).sum())
... |
'''
2573번
빙산
'''
import sys
from collections import deque
input=sys.stdin.readline
n, m=map(int, input().split())
board=[]
for _ in range(n):
board.append(list(map(int, input().split())))
q=deque()
q2=deque()
for y in range(n):
for x in range(m):
if board[y][x]!=0:
q.append((x,y))
year=0... |
#!/usr/bin/env python
"""Write a reduced lammpstrj file by skipping frames."""
import pathlib
import sys
import re
import io
import mmap
from tqdm import tqdm
def read_lammpstrj(lmp):
"""Iterate frames in a lammpstrj file."""
raw = []
with open(lmp, 'r') as infile:
for lines in infile:
... |
'''
Created on 2011-9-24
ARG1: FILE NAME
ARG2: YEAR
ARG3: MONTH
SAMPLE: d:\dp21 2011 SEP
USAGE: JIE XI BAO GAO
@author: caspar32
'''
import sys
initialDay=17
endDay=21
startTime=20
endTime=05
specialBeginDay=20
specialEndDay=21
if __name__ == '__main__':
fileName=sys.argv[1]
year=sys.argv[2]
month=... |
# Chapter 04-01
# 시퀀스형
'''
< 자료구조 구분 기준>
1-1. 컨테이너(Container) - 서로다른 자료형 구성 가능
=> list, tuple, collections.deque
1-2. Flat - 한 개의 자료형으로 구성
=> str, bytes, bytes array, array.array, memoryview
2-1. 가변 자료구조
=> list, bytes array, array.array, memoryview, deque
2-2. 불변 자료구조
=> tuple, str, bytes
'''
# ord(st... |
import os
import sys
import dlib
import glob
import csv
import pickle as pp
from sklearn.neighbors import KNeighborsClassifier
import pandas as pd
from sklearn import preprocessing
# from sklearn.model_selection import train_test_split
import webbrowser
from timeit import Timer
from keras.preprocessing.image import img... |
import pandas as pd
from keras.models import Sequential
from keras.layers import Dense, Activation
from keras.optimizers import SGD
from keras.layers.advanced_activations import ParametricSoftExponential, ParametricSoftplus
from keras.regularizers import l1, activity_l1, l1l2
M = 30000
N = 1
nb_epoch = 100
num_experi... |
from Calc import *
a= int(input("Enter The First no:"))
b= int(input("Enter Seccond no:"))
char=(input("Choose The Operation..\nAdd= a,A\nSub=s,S\nmul=M,m\ndiv=d,D\n"))
if char =='a'and'A':
c=add(a,b)
print("Addition:",c)
elif char =='s'and 'S':
c=sub(a,b)
print("Substraction",c)
elif char =='m'and 'M':... |
import time
def selection_sort(data, drawData, tick):
for i in range(len(data) - 1):
minIndex = i
for j in range(i + 1, len(data)):
if(data[j] < data[minIndex]):
drawData(data, ['blue' if x == minIndex else 'gray' for x in range(len(data))])
time.sleep(tick)
minIndex = j
drawData(... |
class Videogame:
def __init__(self,id,name,year,price,category1,category2,category3,picture,banner,description):
self.id = id
self.name = name
self.year = year
self.price = price
self.category1 = category1
self.category2 = category2
self.category3 = category3
... |
import os
import json
import sys
import shutil
import uuid
import datetime
import uuid
from urllib.parse import unquote_plus
import pandas as pd
import torch
from botocore.exceptions import ClientError
from torch.utils.data import DataLoader, SequentialSampler, TensorDataset
from transformers import BertModel, BertTok... |
print("Demonstration of List")
batches = ["PPA","LB","Angular","Python"]
print(batches)
print(batches[0])
print(batches[1])
print(batches[-1])
print(batches[1:])
print(batches[:3])
# We can store Heterogenious data
data1 = [11,"Shri Swami Samarth",3.14]
print(data1)
data2 = [23,"Om Shiv Shankara",22.48... |
from transaction import Transaction
class Response(Transaction):
RESPONSE_ACCOUNT_BALANCE= "Account balance"
RESPONSE_MEMBERSHIP_NUM= "Membership number"
def __init__(self, date_time, token):
super().__init__(date_time, token)
self._input = input
@staticmethod
def _validate_s... |
import requests, json
HEADER = "http://127.0.0.1:5000"
def get_all_flights():
get_request = requests.get(HEADER + f'/dbInfo')
response = get_request.text
jsons = json.loads(response)
string_to_return = ""
for flight in jsons:
flight_string = f"ID: {flight['id']}, From: {flight['city_f... |
import sys
import ply.yacc as yacc
from parameter import *
def p_document(p):
"""
document :
document : token_list
"""
if len(p) == 1:
p[0] = []
else:
p[0] = p[1]
def p_token_list(p):
"""
token_list :
token_list : STRING token_list
token_list : parameter... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import random
import torch
import argparse
import torch.nn as nn
import torch.utils.data as data
import torchvision.transforms as transforms
#from src.feat_model import *
#from src.featset import *
from src.rank_model import *
from src.rankset import *
import nu... |
import FWCore.ParameterSet.Config as cms
allConversions = cms.EDProducer('ConversionProducer',
AlgorithmName = cms.string('mixed'),
#src = cms.VInputTag(cms.InputTag("generalTracks")),
src = cms.InputTag("gsfGeneralInOutOutInConversionTrackMerger"),
convertedPhotonCollection = cms.string(''), ## or emp... |
# -*- coding: utf-8 -*-
"""
Tests for the tensor transform functions. Run with pytest.
Created on Sat May 9 00:09:00 2020
@author: aripekka
"""
import sys
import os.path
import numpy as np
sys.path.insert(1, os.path.join(os.path.dirname(__file__),'..'))
from tbcalc.transverse_deformation import *
from tbcalc impo... |
import sys
for _ in[0]*int(input()):
input()
f=1
a=list(map(int,input().split()))
for x in a:
if a.count(x)>2:f=0
print("Yes" if f else "No")
|
def get_php(keyword: int = 4, passwd: str = "", salt: str = ""):
return """<?php
function dept($data,$salt="%s",$change=0x80){$data=base64_decode($data);$saltm = md5($salt);$len = strlen($data);$pass=strrev(str_rot13(substr(strrev($data^str_repeat($saltm,ceil($len / 32)) ^ str_repeat(chr($change),$len)),0,-32)));re... |
from sys import version
from Nodo import Nodo
from AutoNuevo import AutoNuevo
from AutoUsado import AutoUsado
from zope.interface import implementer
class Lista:
__comienzo=None
__actual=None
__index=0
__tope=0
def __init__(self):
self.__comienzo=None
self.__actual=... |
# readline 함수로 모든 내용을 읽어보기
f = open("C:/Users/chasu/OneDrive/바탕 화면/doit/새파일.txt", "r")
while True:
line = f.readline()
if not line: break
print(line)
f.close()
# while True: 무한 루프 안에서 f.readline()을 사용해 파일을 계속해서 한 줄씩 읽어 들인다.
# 만약 더 읽을 줄이 없으면 break를 수행한다.
# readline은 더 읽을 줄이 없다면 None을 출력한다.
|
'''
simulation_parameters.py
-> created to ensure consistency throughout ALL other files
'''
##########################################################
#Data parameters
#From the data, do not change unless you played with the preprocessing part
data_file = '../data_preprocessing/data_processed/final_table'
data_dow... |
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompan... |
# 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... |
# Fagprojekt
# mTRF in Python
# Load dependencies
import numpy as np
import matplotlib.pyplot as plt
from scipy.io import loadmat
from os.path import join
import mne
from mne.decoding import ReceptiveField
from sklearn.model_selection import KFold
from sklearn.preprocessing import scale
# The following is from examp... |
from django.shortcuts import render
from rest_framework.decorators import api_view
from rest_framework.response import Response
import sys
#from django.http import JsonResponse
from .serializers import StudentrecordsSerializer
from .models import Studentrecord
@api_view(['GET'])
def apiInfo(request):
api_urls = {... |
def encryptionMode(encryptionAlgorithm):
modeInput = input("What would you like to do? ")
return modeInput
def shiftSelect(shift):
shiftInput = -26 #initalize shift input to an invalid input
while shiftInput > 25 or shiftInput < -25:
#I have cast here instead as in this case I only have to do
#it once
... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# File Name: 练习4_红包
# Description :
# Author : SanYapeng
# date: 2019-05-01
# Change Activity: 2019-05-01:
import random
"""
基本单位 0.01 获取到的金额必须大于这个数,才能生效
金额和红包个数整除为基本数,那么金额就位0.01
第一个红包金额随机,但是必须得小于输入金额
"""
import random
# s... |
#!/usr/bin/env python
import cPickle, sys, shutil, time, os, magic
def unpickler():
unpic_file = open('myPickle', 'r')
cPickle.Unpickler(unpic_file)
temp = cPickle.load(unpic_file)
unpic_file.close()
printer(temp)
return temp
def printer(tmp_file):
print '%-50s%-30s%-30s%-10s%-15s\n'%('Fil... |
#!/usr/bin/env runaiida
# -*- coding: utf-8 -*-
import os
import click
@click.command('cli')
@click.argument('codelabel')
@click.option('--submit', is_flag=True, help='Actually submit calculation')
def main(codelabel, submit):
"""Command line interface for testing and submitting calculations.
This script ext... |
#nvidia-smi
#~/.keras/keras.json
#import keras
#print keras.__version__
#1.2.2
#https://faroit.github.io/keras-docs/1.2.2/
from keras.models import Sequential
from keras.layers.pooling import MaxPooling2D
from keras.layers.core import Dense
from keras.layers.core import Flatten
from keras.layers.core import Dropout
... |
#!/usr/bin/python3.6
import os
import sys
import argparse
from subprocess import call
parser = argparse.ArgumentParser(description='Use inkscape to convert a file from svg to png.')
parser.add_argument('file', type=argparse.FileType('r'), nargs='+', default=None, help='SVG file')
args = parser.parse_args()
# print(... |
# To-Do List
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, Date
from sqlalchemy.orm import sessionmaker
from datetime import datetime, timedelta
class DBCon:
Base = declarative_base()
def db_session(self):
... |
__author__ = 'sonic-server'
from handler import *
handlers = [
(r'/', home_handler),
(r'/api/dataChannel', data_handler),
(r'/api/ctrl', ctrl_handler)
]
modules = {
}
|
#!/usr/bin/env python
import json
from solidfire.common import ApiServerError
from tests.base_test import SolidFireBaseTest
class TestApiServerError(SolidFireBaseTest):
def test_should_provide_defaults_with_empty_string(self):
api_error = ApiServerError('aMethod', '')
self.assertEqual(api_error... |
#!/usr/bin/env python3
from argparse import ArgumentParser
def calc_fizzbuzz(n, rules=None):
string = ''
for divisor, result in rules.items():
if n % divisor == 0:
string += result
if string == '':
string += str(n)
return string
def create_rules():
print('Welcome to... |
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField
from wtforms.validators import Email, DataRequired
class SignUpForm(FlaskForm):
email = StringField('Email',
validators=[DataRequired(), Email()])
CourseName = StringField('CourseName',
validators=[Dat... |
import os.path
def python():
namethefile = input("INPUT THE NAME OF THE FILE \n")
if os.path.isfile(namethefile+".py"):
files = open(namethefile+".py","r+")
else:
files = open(namethefile+".py","x")
files.close()
files = open(namethefile+".py","r+")
files.wri... |
import cv2
import pathlib
face_classifier = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
list = []
namelist = []
currentDirectory = pathlib.Path('./TrainedFaces/')
for currentFile in currentDirectory.iterdir():
model = cv2.face.LBPHFaceRecognizer_create()
model.read(str(currentFile))
nameli... |
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