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import os import logging import re import yaml import series_handler import shutil from yaml_helper import yaml_get logging.basicConfig(level=logging.INFO) localPathRoot = "/Users/Andrew/Movies/TV Shows/" remotePathRoot = "/Volumes/videos/" validExtension = "mp4" destFile = 'dest.yaml' SERIES = series_handler.serie...
#!/usr/bin/env python # -*- coding: utf-8 -*- # Written by Willy import matplotlib.pyplot as plt import torch import numpy as np from skimage import transform as sk_transform from skimage import io, color import os,cv2 import scipy.io as scio def show(image,dots,sigma): _dots = dots.astype(np.int) plt.imshow(i...
x = int(input("enter the number")) y = int(input("enter the number")) z = int(input("enter the number")) if x>y and x>z: print("x is the largest number") elif y >x: print("y is the largest number") else: print(" z is the largest number")
from simtk import unit from msmbuilder.cluster.kcenters import KCenters import mdtraj as md from simtk.openmm.app.pdbfile import PDBFile from foldamers.utilities.iotools import write_pdbfile_without_topology def concatenate_trajectories(pdb_file_list,combined_pdb_file="combined.pdb"): """ Given a list ...
class Solution: def maxArea(self, h: int, w: int, horizontalCuts: List[int], verticalCuts: List[int]) -> int: horizontalCuts = sorted(horizontalCuts) verticalCuts = sorted(verticalCuts) max_w = max(horizontalCuts[0],h-horizontalCuts[-1]) for i in range(len(horizontalCuts)): ...
from typing import List # merge 2 sorted Arrays - LC:88 def merge(nums1: List[int], m: int, nums2: List[int], n: int) -> None: # if no elements are present in nums2 if n == 0: return if m == 0 and n != 0: # copy elements from n to m for i in range(n): ...
# Generated by Django 3.0.8 on 2020-08-02 20:57 import datetime from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('first_youtube', '0002_auto_20200802_1959'), ] operations = [ migrations.AddField( model_name='comment', ...
import re import sys from collections import Counter # for debugging/testing TEST = True if TEST: import pdb # import primary class, AlignerRun from alignerrun import AlignerRun def create_aligner_runs(args): """ Create an aligner run. """ aligner_runs = dict() param_spaces = Counter() f...
import numpy as np import time from copy import deepcopy import optim from rpr import func_val, grad, stoc_grad, batch_grad, grad_lipshitz, linearized_grad, SimpleDataset # SGD def sgd(w, X, y, Xt, yt, rng, param_dict, num_epochs, avg=True, verbose=True): w_avg = deepcopy(w) n = y.shape[0] fac = 1.0 / n ...
from kartverket_tide_api.parsers import AbstractResponseParser from kartverket_tide_api.exceptions import CannotFindElementException, NoTideDataErrorException from kartverket_tide_api.tideobjects import WaterLevel class LocationDataParser(AbstractResponseParser): def _parsing_logic(self) -> {}: """Parse t...
from django import forms from django.contrib.auth.models import User from django.core.exceptions import ValidationError from department.models import Strazacy, Pojazdy, Uslugi, Sprzet, PrzegladSprzet, PrzegladPojazdy class FirefighterUpdateForm(forms.ModelForm): first_name = forms.CharField(required=True, max_le...
import MySQLdb file = open("competitions.html","w") header = """ <!DOCTYPE html> <html lang="en"> <head> <title>Cubing Kerala</title> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1"> <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/b...
#!/usr/env/python #//taken from https://9bitscience.blogspot.com/2013/07/raymarching-distance-fields_14.html import numpy as np def normalize(v): norm = np.linalg.norm(v) if norm == 0: return v return v / norm resolution = [80,50] maxsteps = 32 max_dist = 10 gl_FragCoord = [300,300] # main right =...
import os import shutil import xlrd import xlwt import re from flask import ( Blueprint, flash, g, redirect, render_template, request, url_for, send_file ) from werkzeug.exceptions import abort import manager from manager.auth import login_required from manager.db import get_db bp = Blueprint('info', __name__) ...
import sys sys.path.insert(0,'.') import torch import torch.nn as nn from torch.autograd import Variable from convert import mgn_res from torchsummary import summary if __name__=='__main__': device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') net = mgn_res.MGN().to(device) print(net)...
# coding:utf-8 class PositionMyCourse: # 课程 foot_course = "com.ruicheng.teacher:id/foot_course" # 我的课程 my_course = "com.ruicheng.teacher:id/rl_myCourse" # 我的课程数量 my_course_num = "com.ruicheng.teacher:id/tv_num" # 我的课程小箭头 imageUser = "com.ruicheng.teacher:id/imageUser" # =============...
# 服务端 import socket from winsound import Beep # 声音提示 from os.path import exists host = "192.168.0.42" port = 80 print("\n" + "=" * 80 + "\n") print("服务器开启……" , end = " " * 4) Beep(660, 500) socketObj = socket.socket(socket.AF_INET, socket.SOCK_STREAM) # socket对象 socketObj.bind((host, por...
# import OpenCV module import cv2 import os import numpy as np # there is no label 0 in our training data so subject name for index/label 0 is empty subjects = ["", "Frank Ridder", "Liza de Graaf", "Vincent Kenbeek", "Robin Vonk", "Jurriaan Mulder", "Martijn Bakker", "Bo Sterenborg", "Robin de Jong", "Mari...
#Find the maximum and minimum element in an array #Without Inbuilt Functions def findminmax(arr) max = arr[0] min = arr[0] for i in arr if i>max max=i if i<min min=i print(max) print(min) #Using Inbuilt Function def findminmax1(arr) print(max(arr)) ...
import numpy as np import cv2 import matplotlib.pyplot as plt # This function shows an image using the matplotlib functionality def show_with_matplotlib(color_img, title, pos): # pos - position in the figure plot # First convert the BGR image to RGB rgb = color_img[:, :, ::-1] # all items in the array, re...
#!/usr/bin/env python """ OPV GUI Written by Soo Park 2016 for Shaheen Group @ CU Boulder Contact: soo.park@colorado.edu """ import sys from PyQt4 import QtGui, QtCore import pyqtgraph_modified as pg import pyqtgraph_modified.opengl as gl import numpy as np from matplotlib.cm import * import itertools import xyzViz...
# author: UBC Master of Data Science - Group 33 # date: 2020-11-26 """Pre-processing wine quality data for red wine(https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-red.csv) and wine quality data for white wine(https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality...
from __future__ import division import numpy as np import matplotlib.pyplot as plt import pandas as pd #from scipy import stats #import Tkinter as tk #import tkFileDialog try: import Tkinter as tk from tkFileDialog import askopenfilename from tkFileDialog import asksaveasfilename except ImportErr...
# Programa para hacer una media entre tres números # Autor: David Galván Fontalba # Fecha: 10/10/2019 # # Algoritmo # # Pido tres números a, b y c. # Cálculo de la media # Muestro el resultado # print("Bienvenidos a este programa que hará la media de tres números") print("-----------------------------------------------...
#!/usr/bin/env python3 # Copyright (c) 2019 Bitcoin Association # Distributed under the Open BSV software license, see the accompanying file LICENSE. """ We will test the following situation where block 1 is the tip and three blocks are sent for parallel validation: 1 / | \ 2 3 4 Blocks 2,4 are hard to valid...
# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'd:\FacepalmProject\Library\Addbook.ui', # licensing of 'd:\FacepalmProject\Library\Addbook.ui' applies. # # Created: Fri Oct 11 12:35:46 2019 # by: pyside2-uic running on PySide2 5.13.1 # # WARNING! All changes made in this file will b...
# 很多时候,系统是否要引发异常,可能需要根据应用的业务需求来决定,如果程序中的数据、执行与既定的业务需求不符,这就是一种异常。由于与业务需求不符而产生的异常,必须由程序员来决定引发, # 系统无法引发这种异常。 # # 如果需要在程序中自行引发异常,则应使用 raise 语句,该语句的基本语法格式为: # # raise [exceptionName [(reason)]] # # 其中,用 [] 括起来的为可选参数,其作用是指定抛出的异常名称,以及异常信息的相关描述。如果可选参数全部省略,则 raise 会把当前错误原样抛出;如果仅省略 (reason),则在抛出异常时,将 # 不附带任何的异常描述信息。 # # 也就是说,...
import socket import sys socketa = socket.socket(socket.AF_INET, socket.SOCK_STREAM) host_name = sys.argv[1] host_ip = socket.gethostbyname(host_name) port = int(sys.argv[2]) if(len(sys.argv)>3): usrename = sys.argv[3] def parse_send_message(mess): if(mess[0]!="@"): return (False, []) message_list ...
import pymongo from pymongo_pubsub import Publisher connection = pymongo.Connection() database = connection.pubsub_db publisher = Publisher(database, 'test_event') publisher.push({'message': 'hello world', 'answer': 42})
# -*- coding: utf-8 -*- #!/usr/bin/env python3 # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache Licen...
import json class Decoder(json.JSONDecoder): def decode(self, s): result = super().decode(s) # result = super(Decoder, self).decode(s) for Python 2.x return self._decode(result) def _decode(self, o): if isinstance(o, str): try: return int(o) ex...
import gc import sys import time import itertools __all__ = ['Timer', 'timeit', 'repeat', 'default_timer'] dummy_src_name = '<timeit-src>' default_number = 1000000 default_repeat = 5 default_timer = time.perf_counter _globals = globals template = '\ndef inner(_it, _timer{init}):\n {setup}\n _t0 = _timer()\n fo...
#!/usr/bin/env python """ _RuntimeOfflineDQM_ Harvester script for DQM Histograms. Will do one/both of the following: 1. Copy the DQM Histogram file to the local SE, generating an LFN name for it 2. Post the DQM Histogram file to a Siteconf discovered DQM Server URL """ import os import sys import httplib import url...
from django.urls import path from mainapp import views app_name = "mainapp" urlpatterns = [ path('', views.mainpage, name='mainpage'), path('info/<slug:category>/', views.articles, name='articles'), path('info/<slug:category>/<slug:article>', views.article_page, name='article_page'), path('administrator/create_ar...
convert = { 'pa':'1','re':'2', 'ci': '3', 'vo':'4', 'mu':'5', 'xa':'6', 'ze':'7','bi':'8', 'so':'9','no':'0'} lojban = input() decimal = '' for i in range(0,len(lojban),2): decimal += convert[lojban[i:i+2]] print(decimal)
#!/usr/bin/env python """Zabbix command ligne tools""" # Usage: zbx.py # Summary: Zabbix commands line interface # Help: Commands for Zabbix # Dude, Chick, Read the f****** README.md for dependancy and compliance !! try: import configparser except ImportError: import ConfigParser as configparser # from bac...
################################################## # The Best Kaggle Team # - Woojin Kim (wk2246) # - Carlos Espino Garcia (ce2330) # - Yijing Sun (ys2892) ################################################## # Description: Stacking prediction model for the Machine Learning # Kaggle competition. Please see the write-up...
from selenium import webdriver import time #load driver driver = webdriver.Chrome() def isMessageExist(): # click Load Older Threads to load all messages..one simple click is enough it will load rest automatically #uiMore = driver.find_element_by_link_text('Load Older Threads') #uiMore.click() els = ...
# TestSoma from operacoes_aritmeticas import soma import unittest class TestSoma(unittest.TestCase): def test_soma_inteiros(self): self.assertEqual(soma(1,2),3) def test_soma_reais(self): self.assertEqual(soma(10.5,2),12.5) def test_soma_string(self): self.assertEqual(soma('abc','def'),'abcdef') if __name...
# coding:utf-8 import tweepy CONSUMER_KEY="カスタマーキー" CONSUMER_SECRET="カスタマーキーシークレット" auth=tweepy.OAuthHandler(CONSUMER_KEY,CONSUMER_SECRET) ACCESS_TOKEN="アクセストークン" ACCESS_SECRET="アクセストークンシークレット" auth.set_access_token(ACCESS_TOKEN,ACCESS_SECRET) api=tweepy.API(auth,wait_on_rate_limit=True) #自動で上限に達すると待ってくれ...
class Solution: def generate(self, numRows): """ :type numRows: int :rtype: List[List[int]] """ if not numRows: return [] # elif numRows == 1: # return [[1]] # elif numRows == 2: # return [[1], [1, 1]] # res = [[1],...
n=int(input()) f1=0 f2=1 c=2 if n==1: print(f1) elif n==2: print(f1,f2) while c<n: f=f1+f2 print(f) f1,f2=f2,f c+=1
''' Message Parser (msg_parse.py) This module serves to parse messages received by the telescope control. It extractsm, at minimum, the following data from the message: 1. The name of the function to perform The data is stored in a list in the following manner: [name, ..., parameter, ...] In oth...
""" Copyright 2020 Google LLC 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 https://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, so...
# -*- coding: utf-8 -*- from __future__ import unicode_literals, print_function __author__ = 'ufian' import config import telepot import time import mongoengine as me import datetime from telepot.loop import MessageLoop from telepot.delegate import per_chat_id, per_callback_query_chat_id, create_open, pave_event_sp...
""" @todo #169:30min Write test for creating and editing Table model. To test it correctly it's needed to create relations like `TableShape` and so on in tests. There is`factory-boy` library in requirements added. It helps to create instance with its relations automatically, look at `tests/factories.py` and see ht...
from django.core.management.base import BaseCommand from axes.utils import reset class Command(BaseCommand): help = "Reset all access attempts and lockouts for given usernames" def add_arguments(self, parser): parser.add_argument("username", nargs="+", type=str) def handle(self, *args, **option...
""" Quick test to see what using a 3-bit colour palette looks like. """ from PIL import Image palette = ( (0, 0, 0), (0, 0, 255), (0, 255, 0), (0, 255, 255), (255, 0, 0), (255, 0, 255), (255, 255, 0), (255, 255, 255) ) if __nam...
# search index of a number in a list # x: target no to search # arr: given list # l: length of list def binary_search(arr,l, x, start_index=0): # check list is not empty arr.sort() while start_index <= l: # calculate middle of list mid = 1 + (l-1)//2 # if x ...
import matplotlib as mpl mpl.use('Agg') import numpy as np import pandas as pd import matplotlib.mlab as mlab import matplotlib.pyplot as plt import scipy as sp from scipy.interpolate import griddata import seaborn as sns from scipy.stats import norm from scipy.stats import uniform from scipy.stats import multivar...
# -*- coding: utf-8 -*- import concierge.core.lexer import concierge.core.parser def process(content): content = content.split("\n") content = concierge.core.lexer.lex(content) content = concierge.core.parser.parse(content) content = generate(content) content = "\n".join(content) return con...
from django.conf.urls import patterns, include, url from django.contrib import admin from django.http import HttpResponse from django.contrib.staticfiles.urls import staticfiles_urlpatterns admin.autodiscover() urlpatterns = patterns('', url(r'^', include('fabric.urls')), (r'^admin/', include('smuggler.urls')...
import numpy as np import tensorflow as tf import matplotlib import matplotlib.pyplot as plt from tensorflow.contrib.factorization.python.ops import kmeans def input_fn_1D(input_1D_): input_t = tf.convert_to_tensor(input_1D_, dtype=tf.float32) input_t = tf.expand_dims(input_t, 1) return(input_t, N...
#-*- coding: utf-8 -*- from zope.component import getUtility from Products.Five.browser import BrowserView from Products.Five.browser.pagetemplatefile import ViewPageTemplateFile from Products.CMFCore.utils import getToolByName from Products.statusmessages.interfaces import IStatusMessage from plone.memoize.instance ...
print('Hello Word!\nSegundo print com Quebra linha') print('Hello Word!\tSegundo print com Tab\n') print('#' * 3, 'Variáveis', '#' * 3) nome = 'Sandro Lucas' idade = 23 altura = 1.72 print('A variável NOME tem o valor de {} é do tipo {}'.format(nome, type(idade))) print('A variável IDADE tem o valor de {} é do tipo...
import socket, pickle, struct, cv2.cv2 client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) host_ip = '176.53.65.237' # server ip adresi port = 9999 #baglanilacak port client_socket.connect((host_ip, port)) data = b"" payload_size = struct.calcsize("Q") while True: while len(data) < payload_...
import tensorflow as tf # TODO: this seems to be broken, compared to the Colab version. def MeanAbsoluteErrorLabels(y_true, y_pred): # Assume that y_pred is cumulative logits from our CoralOrdinal layer. # Predict the label as in Cao et al. - using cumulative probabilities #cum_probs = tf.map_fn(tf.math.sigmo...
# Django settings for development environment. import os import dj_database_url BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) DEBUG = True TEMPLATE_DEBUG = DEBUG DATABASES = { 'default': dj_database_url.config(default='sqlite:///db.sqlite3') } # Hosts/domain names that are valid for th...
from bs4 import BeautifulSoup import sqlite3 import re import os import getdata import create_visuals # inserts each artist's name with their unique Spotify Artist ID into a table in the database def setIdTable(data): try: conn = sqlite3.connect('artists_info.db') cur = conn.cursor() cur.ex...
from LuyckxFeatures import * import personae import numpy as np import matplotlib matplotlib.use('Agg') from matplotlib import pyplot as plt import os import timblClassification as timbl from collections import Counter from matplotlib import rc rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']}) ## for Pala...
# Generated by Django 3.0.4 on 2020-07-22 18:22 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('api', '0032_auto_20200722_1821'), ] operations = [ migrations.AddField( model_name='photo', name='visible', ...
import json import requests import urllib.request from bs4 import BeautifulSoup from os import path def scrape_photos(): with open("venues.json") as f: data = json.load(f) for key in data: get_photo(key) def get_response(url, filename): response = requests.get(url) with open(filename,...
import cv2 def video_2_frame(video_path): cap = cv2.VideoCapture(video_path) # CV_CAP_PROP_FPS == 5 fps = cap.get(5) frames = [] has_frame, frame = cap.read() while has_frame: frames.append(frame) has_frame, frame = cap.read() return frames, fps
import numpy as np # Constants H = 0.001 t_max = 70 t_0 = 0 ALPHA = -1 BETA = 1 GAMMA = 0.25 OMEGA = 1.4 A = 0.2 # DuffingPotenital def potential(x): return ALPHA / 2 * x * x + BETA / 4 * x * x * x * x # Gibt Array mit allen x und V(x) Werten des DuffingPotenitials aus def init_Potential(x_min, x_max): x =...
# Copyright 2020 Declarative Systems Pty 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 # # Unless required by applicable law or agreed...
import os import re import string import unicodedata import jieba from zhon.hanzi import punctuation class Word_Segment: def __init__(self, path='./resources/stopwords.txt'): # from nltk.corpus import stopwords # stop_words = stopwords.words('english') self.stop_words = self.result = [line....
from collections import defaultdict # write function that finds the first repeated character in a string # Return the character or None # def find_first_repeated_char(string): # for i in range(len(string)): # for j in range(len(string)): # if i != j and string[i] == string[j]: # return string[i] # else: # ...
#!/usr/bin/python # -*- coding : utf-8 -*- """ Factory method is a design pattern. It is spposed to design an interface for creating an object, but let subclasses decide which class to instantiate. It lets a class defer instantiation to subclasses. In this file displays a typical usage of factory method: connecting pa...
# 获取虎牙直播的真实流媒体地址。 # 现在虎牙直播链接需要密钥和时间戳了 import requests import re import base64 import urllib.parse import hashlib import time def live(e): i, b = e.split('?') r = i.split('/') s = re.sub(r'.(flv|m3u8)', '', r[-1]) c = b.split('&', 3) c = [i for i in c if i != ''] n = {i.split('=')[0]: i.split...
import re from abc import ABC, abstractmethod class BasePhoneticsAlgorithm(ABC): _vowels = '' _reduce_regex = re.compile(r'(\w)(\1)+', re.I) def _reduce_seq(self, seq): return self._reduce_regex.sub(r'\1', seq) @abstractmethod def transform(self, word): """ Converts a gi...
# -*- coding: utf-8 -*- """ Job class for Cms module """ import Queue class CmsJob(Queue.Queue): """ Job class for Cms module """ def get(self, block=True, timeout=None): """ Get next item from queue """ return Queue.Queue.get(self, False, None)
# -*- coding: utf-8 -*- """ Created on Fri Feb 15 11:35:41 2019 @author: jorge Guizar alfaro ETH zurich """ """ This is the inversion of an horizontal thin sheet """ import numpy as np import matplotlib.pyplot as plt import random from numpy.linalg import inv #%matplotlib auto ########################...
# 爬取豆瓣电影 import time import requests import json from lxml import etree def getPage(url): '''请求页面数据''' try: headers = { 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.163 Safari/537.36' } # 发起请求 ...
from selenium import webdriver from time import sleep from selenium.webdriver.common.action_chains import ActionChains from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.by import By from selenium.common.exceptions impo...
# -*- coding: utf-8 -*- # Generated by Django 1.11.1 on 2017-06-05 08:22 from __future__ import unicode_literals import datetime from django.db import migrations, models from django.utils.timezone import utc class Migration(migrations.Migration): dependencies = [ ('website', '0016_auto_20170527_1719'), ...
from __future__ import unicode_literals import ast import os import nose from nose.plugins import Plugin def _iteritems(env_variables_to_override): try: return env_variables_to_override.iteritems() except AttributeError: return env_variables_to_override.items() class SetEnvironmentVariable...
# INSTITUTO POLITÉNICO NACIONAL # # ESCOM # # Análisis de Algoritmos # # Benjamín Luna Benoso # # Práctica No. 5 # # Strassen # # Blancas Pérez Bryan Israel # # 3CV1 import numpy as np import random as r from time import time cont=0 def stressen(a,b,n): global cont c=np.zeros((n,n),dtype=...
#!/usr/bin/python3 """ Script that generates a .tgz archive from the contents of the web_static folder of your AirBnB Clone repo, using the function do_pack. """ from datetime import datetime from fabric.api import local def do_pack(): """Packs a local web_static folder to .tgz format for deployment""" ...
#!/usr/bin/env python # author: Pankaj Sharma # 11/14/2018 import tensorflow as tf import featurizer import task import metadata # **************************************************************************************** # YOU MAY MODIFY THESE FUNCTIONS TO USE DIFFERENT ESTIMATORS OR CONFIGURE THE CURRENT ONES # **...
from rest_framework import viewsets from rest_framework.permissions import IsAuthenticated from django_filters.rest_framework import DjangoFilterBackend from ..models import Task from ..serializers import TaskModelSerializer class TaskModelViewSet(viewsets.ModelViewSet): """ Task Model View Set """ ...
#area of a polygon def herons(x1,y1,x2,y2,x3,y3): a = ((x2 - x1)**2 + (y2 - y1)**2)**(1/2) b = ((x2 - x3)**2 + (y2 - y3)**2)**(1/2) c = ((x1 - x3)**2 + (y1 - y3)**2)**(1/2) s = (a+b+c)/2 area = (s*(s-a)*(s-b)*(s-c))**(1/2) return (area) def area_polygon(xvert,yvert): xc = round(sum(xve...
from AESCipher import AESCipher #Turns strings into dictionaries def parse_routine(str): result = {} for x in str.split("&"): parts = x.split("=") if len(parts) == 2: result[parts[0]] = parts[1] return result #Turns dictionaries into strings def parse_to_string(dct): return "email=" + dct['email'] + "&uid=...
#!/usr/bin/env python # -*- coding: utf-8 -*- ########################################### # (c) 2016-2018 Polyvios Pratikakis # polyvios@ics.forth.gr ########################################### """ Utility functions used by twAwler """ import sys import os import time import json import twitter from datetime import d...
import sys import xpath_extract import regex_extract import wrapper if __name__ == '__main__': if len(sys.argv) > 1: arg = sys.argv[1] if arg == "A": xpath_extract.run_all() elif arg == "B": regex_extract.run_all() else: wrapper.run() else: ...
''' diag: Return the diagonal (or off-diagonal) elements of a square matrix as a 1D array, or convert a 1D array into a square matrix with zeros on the off-diagonal dot: Matrix multiplication trace: Compute the sum of the diagonal elements det: Compute the matrix determinant eig: Compute the eigenvalues and eigenvector...
"""Table formats for the database and website post forms""" # Standard library. from datetime import datetime from random import randint # Third party. from flask_login import UserMixin from flask_wtf import FlaskForm from wtforms import StringField, PasswordField, SubmitField, BooleanField, \ TextAreaField from ...
def draw_diamond(n): if n % 2 != 0: k = 1 while k <= n: print(" " * int((n - k) / 2) + "*" * k + " " * int((n - k) / 2)) k += 2 j = 1 while (n - 2 * j) >= 1: print(" " * j + "*" * (n - 2 * j) + " " * (j)) j += 1 else: print...
import os import sys import math import http.client import urllib import requests import json import hashlib import sha3 import colorama from colorama import Fore import settings from utils import make_dir, is_img def create_image_path(dir_path, url): if not is_img(url): print(Fore.RED + "Inappropriate fi...
number=input("Enter number to send: ") num_copy=number new_num=0 i=0 reverse=0 while num_copy>0: digit=num_copy%10 new_num=((digit+7)%10)*(10**i)+ new_num num_copy=num_copy/10 reverse=(reverse*10)+new_num/(10**i) i=i+1 print "Encryption process:",number,"==>",new_num,"==>", reverse
#!/usr/bin/env python3 import argparse import logging import sys from sqlalchemy import func from util.color_logger import get_logger import util.datamodel as dm from util.datamodel_helper import create_db_session, load_file_in_db logger = get_logger('stats') def log_general_stats(session): logger.info("numb...
a=[] s=int(input()) for i in range(0,s): i=input("Your Value:") a.append(i) a.sort() print(min(a),max(a))
l, timeDiana, timeHumper, n, slowdown = map(int,raw_input().split()) timeDiana *= l timeHumper *= l aps = [] a = 0 for i in range(n): line = raw_input().split() aps.append(tuple(map(int,line))) def convert_to_time(apple): return (apple[0]*slowdown*(l-apple[1])) aps = sorted(aps, lambda x,y: convert_to_time(x)-conv...
# conda activate wk_ecmwf # cd "C:\Users\fan\pyfan\vig\getdata\envir\ecmwf_scripts\" # python ecmef_pressure_utci_historical.py import cdsapi import urllib.request # download folder spt_root = "C:/Users/fan/downloads/_data/" spn_dl_test_grib = spt_root + "test_utci.zip" # request c = cdsapi.Client() res = c.retrieve(...
import sys import hmac import hashlib from datetime import date from flask import current_app, g from onelist.apps.accounts.models import UserModel class PasswordResetTokenGenerator(object): def make_token(self, user): """Returns a token that can be used once to do a password reset for the given u...
import logging import queue from Shopware.Request import Request, ThreadedRequest from Shopware.Tasks import APITask, ExitTask class SimpleClient(Request): """Interface to a shopware shop's API :param endpoint: Endpoint of your shopware API, e.g. http://www.myshop/api :param user: Your backend ...
from sys import argv script, text = argv x = raw_input("how many books do you have") print "how many books do I have:" my_fictional = 90 print "I have %d fictional books" % my_fictional my_nonfictional = 60 print "I have %d nonfictional books" % my_nonfictional y = raw_input("what are your fictional groups") print ...
def lineCutting(lines, length, N): cnt = 0 for line in lines: cnt += line // length return cnt def binary(lines, N): start, end = 1, max(lines) while start <= end: mid = (start + end) // 2 cnt = lineCutting(lines, mid, N) if cnt >= N: start = mid + 1 ...
import csv from collections import OrderedDict from dao.hashtag_dao import search_hashtag_by_id from dao.tweet_dao import n_tweets_feeling from dao.tweet_hash_dao import n_tweets_hash def save_data(data): with open('data.csv', 'w') as new_file: fieldnames = ['Hashtag', 'Tweets', 'Positivo', 'Negativo', '...
# coding: utf-8 # In[ ]: import numpy as np import pandas as pd import matplotlib matplotlib.use('agg') import matplotlib.pyplot as plt import seaborn as sns from sklearn.metrics import roc_auc_score, roc_curve, auc, mean_squared_error from itertools import combinations def softmax(array): exp = np.exp(array)...
import pandas as pd csv_path = './follows.csv' def get_data(path=csv_path): duwei = 0 dd = 0 close = 0 follows = pd.read_csv(path) list = follows.values.tolist() for peo in list: if peo[5] == 0: close = close + 1 else: sum = 0 for i in range(...