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# -*- coding: utf-8 -*-
"""
Created on Wed May 15 16:35:41 2019
@author: Administrator
"""
import numpy as np
from scipy import signal
import matplotlib.pyplot as plt
import rcos
import gold
import wave
import struct
SIG_FREQ = 500
SAMPLE_FREQ = 4000
# PN_CODE = np.array([1,1,1,1,1,-1,-1,1,1,-1,1,-1,1])
# PN_CODE ... |
#encoding: utf-8
import circulo
import random
import sys
import subprocess
def circuloRandom():
#Devuelve una lista [x1,y1,r,data]
x1 = random.randint(1,399)
y1 = random.randint(1,399)
rmax = min(400-x1,400-y1)
if (400-x1) > (400-y1) :
r = random.randint(1,rmax)
else:
r = random.randint(1,rmax)
data = str(x... |
from requests import get, post
import os
from dotenv import load_dotenv
load_dotenv()
import pandas as pd
# Module variables to connect to moodle api
KEY = os.getenv("MOODLE_API_KEY")
URL = os.getenv("URL")
ENDPOINT="/webservice/rest/server.php"
def rest_api_parameters(in_args, prefix='', out_dict=None):
"""Trans... |
# coding=utf-8
import unittest
import warnings
from mock import patch, Mock
from . import interface_factory
from . import api_details
from paypal.exceptions import PayPalAPIResponseError, PayPalConfigError
from paypal.interface import PayPalInterface
from paypal.response import PayPalResponse
interface = interface_... |
# Copyright 2017 The Forseti Security 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 required by ap... |
def convert(s, numRows):
n = len(s)
dic = dict()
incr = 0
flag = 1
for i in range(n):
if incr not in dic.keys():
dic[incr] = ''
dic[incr] += s[i]
incr += flag
if incr == 0 or incr == numRows-1:
flag *= -1
ans = ''
for value in dic.value... |
#
# carkov markov chain library
# © Copyright 2021 by Aldercone Studio <aldercone@gmail.com>
# This is free software, see the included LICENSE for terms and conditions.
#
"""
Various filter functions that may be useful for processing certain kinds of corpora.
"""
from typing import Optional
# from unidecode import u... |
import codecademylib3_seaborn
import numpy as np
from matplotlib import pyplot as plt
from sklearn import datasets
from sklearn.cluster import KMeans
digits = datasets.load_digits()
#print(digits.target[100])
plt.gray()
plt.matshow(digits.images[100])
plt.show()
model = KMeans(n_clusters = 10, random_state = 43)
model... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author:hua
a = 'hello word'
b = a.replace('word','python')
print(b) |
listRange=list(range(4)) # 0 to 3
print(listRange)
listRange1=list(range(-6,7,2)) # -6 to +6 by 2
print(listRange1)
list1=[[x**2,x**3] for x in range(4)]
print(list1)
list2=[[x, x / 2, x * 2] for x in range (-6,7,2)if x > 0]
print(list2)
|
# Problem name: Coin Piles
# Description: You have two coin piles containing a and b coins.
# On each move, you can either remove one coin from the left pile and two coins from the right pile, or two coins from the left pile and one coin from the right pile.
# Your task is to efficiently find out if you can empty bo... |
import cv2
import numpy as np
import sys
import os
ASCII_CHARS = ['.',',',':',';','+','*','?','%','S','#','@']
ASCII_CHARS = ASCII_CHARS[::-1]
def asciify(frame):
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
frame = frame // 25
frame = frame.tolist()
text = [[ASCII_CHARS[px] for px in line[::10]] f... |
from django.db import models
from django.conf import settings
from django.core.exceptions import ValidationError
from django.utils import timezone
def dateStartValidator(value):
dateStartValidator.lastValue = value
def dateEndValidator(value):
if dateStartValidator.lastValue > value:
raise ValidationE... |
# Generated by Django 2.2.2 on 2019-09-06 15:33
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('goods', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='comment',
name='is_anonymity',
... |
import modules as m
#from modules import Add
print(m.Add.__doc__)
print(m.Add(2,5)) |
# http://www.practicepython.org/exercise/2014/03/26/08-rock-paper-scissors.html
from random import randint
puntj = puntia = 0
print ("Al primero que gane tres!")
while True:
while puntj<3 and puntia<3:
jugador = "inicial"
while (jugador != "piedra" and jugador != "papel" and jugador != "tijeras" a... |
from time import sleep
from serial import Serial
import sys
sys.path.append('/home/pi/tracer/python')
from tracer import Tracer, TracerSerial, QueryCommand
port = Serial('/dev/ttyAMA0', 9600, timeout = 1)
port.flushInput()
port.flushOutput()
tracer = Tracer(0x16)
t_ser = TracerSerial(tracer, port)
query = QueryComman... |
class Solution:
def threeSum(self, nums):
res = []
nums.sort()
for i in range(len(nums) - 2):
if i > 0 and nums[i] == nums[i - 1]:
continue
# two sum
j = i + 1
k = len(nums) - 1
while j < k:
if nums[i] +... |
import numpy as np
def calculate(list):
if len(list) == 9:
calculations = dict()
np_list = np.array(list)
matrix = np.reshape(np_list, (3, 3))
calculations['mean'] = (np.mean(matrix, axis=0), np.mean(matrix, axis=1), np.mean(matrix))
calculations['variance'] = (np.var(matrix... |
"""Test tailrecursion.py."""
from tailrecursion import Recursion
from tailrecursion import tail_recursive
@tail_recursive
def fib(seq_num: int, _i: int = 0, _j: int = 1) -> int:
"""Return the nth Fibonacci number."""
if seq_num == 0:
return _i
else:
raise Recursion(seq_num - 1, _i=_j, _j=(... |
import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sb
def load_clean_data():
data = pd.read_csv('kc_house_data.csv')
data.date = pd.to_datetime(data.date, infer_datetime_format=True)
return data
data = load_clean_data()
def show_EDA_page():
st.title('EDA of... |
import numpy as np
import matplotlib.pyplot as plt
def getrsr(x1, x2, x3):
return (0.4 * x1 + 0.4 * x2 + 0.2 * x3) / 30.0
plt.rcParams['font.family'] = 'SimHei'
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
lables = np.array(['查找算法', '排序算法', '树结构', '数字操作', '数组', '图结构', ... |
# Generated by Django 3.0.3 on 2020-03-18 21:31
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('dimensoes', '0005_dimensaomodel_data'),
]
operations = [
migrations.AlterField(
model_name='dimensaomodel',
name='pr... |
"""
Example conversion of ical to csv
"""
from csv_ical import Convert
convert = Convert()
convert.CSV_FILE_LOCATION = 'examples/BostonCruiseTerminalSchedule.csv'
convert.SAVE_LOCATION = 'examples/arrive.ics'
convert.read_ical(convert.SAVE_LOCATION)
convert.make_csv()
convert.save_csv(convert.CSV_FILE_LOCATION)
|
#Google BooksでAPIを叩く
import requests as req
ISBN = input()
response = req.get(
'https://www.googleapis.com/books/v1/volumes',
params={
"q": "isbn=" + str(ISBN)
})
BookInfo = dict(response.json()).get("items")[0]["volumeInfo"]
BookTitle = BookInfo["title"]
BookAuthor = BookInfo["authors"... |
n1 = int(input('Digite o primeiro número inteiro: '))
n2 = int(input('Digite o segundo número inteiro: '))
if n1 > n2:
print('O primeiro valor é maior do que o segundo')
elif n2 > n1:
print('O segundo valor é maior do que o primeiro')
else:
print('Não há valor maior, os dois são iguais')
|
import csv
reader = csv.reader(file)
writer = csv.writer(file)
writer.writerow(data) # write one line
writer.writerows(data) # write multi line
# Dictionary
reader = csv.DictReader(file)
writer = csv.DictWriter(file)
writer.writeheader() # file header
writer.writerow(data) # write one line
writer.writerows(d... |
import pygame
from GameParameter import display
def drawing_text(text, x, y, font_color=pygame.Color('black'), font_size=30):
font_type = pygame.font.Font('lost.ttf', font_size)
text = font_type.render(text, True, font_color)
display.blit(text, (x, y)) |
import asyncio
import os
import logging
from colorlog import ColoredFormatter
from tonga.stores.persistency.shelve import ShelvePersistency, StoreKeyNotFound
from tonga.stores.persistency.memory import MemoryPersistency
from tonga.stores.persistency.rocksdb import RocksDBPersistency
def setup_logger():
"""Retur... |
n=input()
list1=[int(x) for x in raw_input().split(" ")]
list2=[]
for i in list1:
list2.append([i])
Count=0
|
""" script to create hepevt files (as input for JUNO detsim) containing IBD signals.
IBD signal:
- positron with initial momentum between 10 MeV and 100 MeV
- neutron with initial momentum corresponding to the positron energy
format of hepevt file (momentum and mass in GeV):
number particles in e... |
import turtle
#turtle.shape('turtle')
#square=turtle.clone()
#square.shape('square')
#square.goto(100,100)
#square.goto(300,300)
#square.stamp()
#square.goto(100,100)
#turtle.mainloop()
UP_ARROW='Up'
LEFT_ARROW='Left'
DOWN_ARROW='Down'
RIGHT_ARROW='Right'
SPACEBAR='space'
UP=0
DOWN=1
LEFT=2
RIGHT=3
direction=UP
d... |
import argparse
import re
import glob
import os
import numpy as np
import matplotlib.pyplot as plt
import sys
args = dict()
data = dict()
origDir = os.getcwd()
#plt.style.use('ggplot')
## plt.style.use('grayscale')
## plt.style.use('fivethirtyeight')
#print plt.style.available
numAccesses = re.compile('Total Access... |
# created by Ryan Spies
# 2/19/2015
# Python 2.7
# Description: parse through a summary file of usgs site info obtained from website
# and split out individual cardfiles for each site. Also creates a summary csv file
# with calculated valid data points and percent of total. Used to display in arcmap
import os
import ... |
#!/usr/bin/python
import subprocess
import sys
import time
#import StringIO
import os
import io
from PIL import Image
# Original code written by brainflakes and modified to exit
# image scanning for loop as soon as the sensitivity value is exceeded.
# this can speed taking of larger photo if motion detected early in... |
from unittest.case import TestCase
from exercicios_basicos.ex_01_calculadora_soma import efetua_soma
class TestSoma(TestCase):
def test_soma_esta_correta(self):
self.assertEqual(0, efetua_soma())
def test_soma_esta_correta_quando_tem_negativos(self):
self.assertEqual(10, efetua_soma(-1, 1, ... |
test_cases = int(input())
case_list = []
for case in range(test_cases):
booking_list = {1:{}}
booking_num = int(input())
for booking in range(booking_num):
start , end , cost = input().split()
start ,end ,cost = int(start) ,int(end),int(cost)
try :
booking_list[start][en... |
from rest_framework import serializers
from .models import ExerciseAndReporting,\
SwimStats,\
BikeStats,\
Steps,\
Sleep,\
Food,\
Alcohol,\
Grades,\
UserQuickLook
class ExerciseAndReportingSerializer(serializers.ModelSerializer):
user_ql= serializers.PrimaryKeyRelatedField(read... |
##encoding=utf-8
"""
Import Command
--------------
from archives.htmlparser import htmlparser
"""
from bs4 import BeautifulSoup as BS4
import re
class HTMLParser():
def get_total_number_of_records(self, html):
"""get how many results returns
"""
s = re.findall(r"(?<=>Showing 1-10 of )... |
"""Modules used in the README example"""
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LinearRegression
import numpy as np
from flexp import flexp
class LoadData:
"""Load queries and targets from a tsv file"""
... |
import struct
class Packer(object):
def __init__(self, buf):
self._buffer = buf
self._offset = 0
self._typemethods = {'b': self.pack_int8, 'B': self.pack_uint8,
'h': self.pack_int16, 'H': self.pack_uint16,
'i': self.pack_int32, 'I':... |
from molecularfunctionsOOP import particleClass
from molecularPhysicalQuantities import PlotPQs
import numpy as np
from JosPlotPy import AnimatedScatter
import molecularPhysicalQuantities as PQ
#matplotlib.pyplot.close("all") #closing all the figures
#set global constants
Np=108
deltat=.004
mass = 1
dens = .85
temp =... |
from bs4 import BeautifulSoup
import requests
import os
import spotipy
import spotipy.util as util
import datetime
'''Scrapes hotnewhiphop top 100 songs then creates and returns list of songs by artists I enjoy
parameters:
fav_artists - artists I want songs from '''
def getTopSongs(fav_artists):
artists = []
... |
#! /usr/bin/env python
"""
dumps crops from a databag to disk.dumps
USING:
Author: Martin Humphreys
"""
import cv2
from argparse import ArgumentParser
from math import floor, ceil
import os
import uuid
from DataBag import DataBag
from Query import Query
import numpy as np
def build_parser():
par... |
import cv2 as cv
import numpy as np
def detect(image):
classifier = cv.CascadeClassifier()
classifier.load(cv.samples.findFile('./data/haarcascade_frontalface.xml'))
faces = classifier.detectMultiScale(image)
heights = [face[-1] for face in faces]
f = [0,0,0,0]
if(heights):
m = max(heig... |
def recurPower(base, exp):
if exp == 1:
return base
elif exp > 0 and exp % 2 == 0:
return recurPower(base ** 2, exp / 2)
elif exp > 0 and exp % 2 != 0:
return recurPower(base, exp - 1) * base
print recurPower(2, 3)
|
import logging
import sys
import warnings
import os
import six
from tqdm import tqdm
log_formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
def loglevel_from_string(level):
"""
>>> _loglevel_from_string('debug')
10
>>> _loglevel_from_string(logging.INFO)
20
... |
from app import app
from flask import render_template, request, redirect, jsonify, make_response
from datetime import datetime
import os
from werkzeug.utils import secure_filename
from flask import send_file, send_from_directory, safe_join, abort, session, url_for
from flask import flash
@app.templa... |
# -*- coding: utf-8 -*-
import os
import numpy as np
import glob
import shutil
import matplotlib.pyplot as plt
# %matplotlib inline
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D
from tensorflow.keras.preprocessi... |
"""
MAP@K word level and character level are explained in detail in this paper:
dpUGC: Learn Differentially Private Representationfor User Generated Contents
Xuan-Son Vu, Son N. Tran, Lili Jiang
In: Proceedings of the 20th International Conference on Computational Linguistics and
Intelligent Text Processing, April, 2... |
class Visit:
# ENROLLHD visit
#def __init__(self, seq, age, days, vtype, tfc, motor, function, cognitive, pbas):
# self.seq = seq # visit sequence nr
# self.age = age # Age at time of visit
# self.days = days # Days since Baseline visit
# sel... |
num1=int(input("Enter a number"))
num2=int(input("Enter the divisor"))
def is_div(num1,num2):
if num1%num2 ==0:
return True
return False
print(is_div(num1,num2))
|
#************************************ (C) COPYRIGHT 2019 ANO ***********************************#
import sensor, image, time, math, struct
import json
from pyb import LED,Timer
from struct import pack, unpack
import Message,LineFollowing,DotFollowing,ColorRecognition,QRcode,Photography
#初始化镜头
sensor.reset()
sen... |
from itertools import combinations
input = list(map(int, open('data/09.txt').read().split('\n')))
for i, num in enumerate(input):
if i >= 25 and num not in list(map(lambda x: x[0]+x[1], list(combinations(input[i-25:i], 2)))):
print(num)
|
song="JINGLE Bells jingle Bells Jingle All The Way"
song.upper()
song_words=song.split()
count=0
print(song_words)
for word in song_words:
if(word.startswith("jingle")):
count=count+1
print(count)
name = "pavan"
|
#Iterative Approach
class Solution:
def reverseList(self, head: ListNode) -> ListNode:
if not head:
return
current = head
nxt = head.next
prev = None
while nxt:
current.next = prev
prev = current
current = nxt
nxt = ... |
from spack import *
import sys,os
sys.path.append(os.path.join(os.path.dirname(__file__), '../../common'))
from scrampackage import write_scram_toolfile
class Cython(Package):
url = "http://cern.ch/service-spi/external/MCGenerators/distribution/cython/cython-0.22-src.tgz"
version('0.22', 'f7653aaae762593e13a... |
"""Construct aggregate text blob from multiple manuals."""
import os
def build_aggregate(lower_bound, upper_bound, start_time, time_elapsed):
"""Construct aggregate text blob from multiple manuals."""
year_list = ['/Users/alextruesdale/Documents/moodys_code/WIP/text_dictionaries/text_output/industrials19{}.t... |
#!/usr/bin/env python
class Header(object):
"""DNS message header class that has header properties."""
__message_id = 1
__flags = 1
__question_count = 0
__answer_count = 0
__authority_count = 0
__additional_count= 0
@property
def message_id(self):
"""Message id property ... |
# Generated by Django 3.1.3 on 2021-05-23 15:39
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
... |
from rest_service.config import Config
from rest_service.service import RestService
import unittest
import time
import os
import requests
BASIC_CONFIG = '''
[rest-service]
host = '0.0.0.0'
port = 9448
use_ssl = false
cert_pem = '/path/rest/server.pem'
key_pem = '/path/rest/server.key'
use_jwt =... |
from flask import jsonify , request
def product_delete(collection_name,name):
productlist = collection_name
try :
query = productlist.delete_one({'name':name})
output = {'Status code': 200 ,'Message': 'Product successfully deleted'}
return jsonify({'result':output})
except :... |
# https://github.com/Rapptz/discord.py/blob/async/examples/reply.py
import discord
import requests #allows for the api
import xml.etree.cElementTree as ET
from discord.ext.commands import Bot
from discord.ext.commands import MemberConverter
from TOKEN import TOKEN #gets the token from token.py
from TOKEN import BUNGIE... |
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 9 16:43:49 2020
@author: logun
"""
import matplotlib.pyplot as plt
import cv2
img = cv2.imread('binary_small.png', cv2.IMREAD_GRAYSCALE)
plt.figure(dpi=700)
dims = img.shape
M_0_0 = 0
M_1_0 = 0
M_0_1 = 0
for row in range (dims[0]):
for col in range (dims[1]):
... |
import dash_bootstrap_components as dbc
from dash import Dash, html
def test_mdcap001_components_as_props(dash_duo):
app = Dash(__name__)
app.layout = html.Div(
[
dbc.Checklist(
[
{"label": html.H2("H2 label"), "value": "h2"},
{
... |
# change gui font size in linux: xrandr --output HDMI-0 --dpi 55
# https://further-reading.net/2018/08/quick-tutorial-pyqt-5-browser/
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWebEngineWidgets import *
from PyQt5.QtWidgets import QApplication, QWidget, QPushButton, QVBoxLayout, QHBoxLayout, QLab... |
# class 2
# 7/19/16
# Playing with conditionals
input_value = input("Enter a number: ")
x = int(input_value)
if x == 2:
print('Your number is equal to 2')
elif x > 100:
print('Your number is greater than 100')
elif x % 5 == 0:
print('Your number is a multiple of five and less than 100')
else:
print('Your number i... |
# from re import compile, search
#
# VALID = compile('\([0-9]{3}\) [0-9]{3}-[0-9]{4}')
#
#
# def validPhoneNumber(number):
# """ valid_phone_number == PEP8, forced camelCase by CodeWars """
# check = search(VALID, number)
# return number == check.group(0) if check else False
from re import compile, match
... |
#!/usr/bin/env python3
import yaml
from aws_cdk import core
from three_tier_web.three_tier_web_stack import ThreeTierWebStack
# Demonstrates how to externalize configurations on your stack
config = yaml.load(open('./config.yaml'), Loader=yaml.FullLoader)
app = core.App()
# Create a different stack depending on the ... |
{
'targets': [
{
'target_name': 'NodeCoreAudio',
'sources': [
'NodeCoreAudio/AudioEngine.cpp',
'NodeCoreAudio/NodeCoreAudio.cpp',
],
'include_dirs': [
'<(module_root_dir)/NodeCoreAudio/',
'<(module_root_dir)/portaudio/'
],
"conditions" : [
[
'OS!="win"', {
"libraries"... |
from outbreaksim import Simulation
import numpy as np
import matplotlib.pyplot as plt
# Monte Carlo Simulation with varying percentage of the population being stationary
def main():
svals = [0.00, 0.25, 0.5, 0.75, 1]
numRuns = 10000
# Simulation Options
options = {
'N': 100, # Grid Siz... |
"""
MongoDB/AWS DocumentDB登録のための観測所マスター情報
"""
from __future__ import annotations
import copy
import dataclasses
import inspect
import urllib.parse
from datetime import datetime, timezone
from logging import Logger, getLogger, NullHandler
from pathlib import Path
from typing import Optional, Any, Sequence, Mapping, Mut... |
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
import os
import json
import numpy as np
import pandas as pd
import scipy.sparse as sparse
import data_utils as data
import datasets
import upper_bounds
import defenses... |
import tweepy
import json
import pymongo
print("hello_tweepy.py Loaded")
from pymongo import MongoClient
client = MongoClient('mongodb://localhost:27017/')
db = client.twit_ids
if db == None:
print ('kaaskoek')
# sirColgrevance
auth = tweepy.OAuthHandler("npb4vI5OhwkXyxY8ixvZ2qAHx","SR10qi0e2nLcl4a2cXDZ8ZNeM3M... |
# from selenium import webdriver
# import time
# from selenium.webdriver.remote.webelement import WebElement
# from selenium.common.exceptions import StaleElementReferenceException
#
# def wait(driver):
# elem = driver.find_element_by_tag_name("html")
# count = 0
# while True:
# count += 1
# ... |
import re
a = input()
pattern = re.compile(r'[^\w+]')
s = re.sub(pattern, '', a).lower()
if s == s[::-1]:
print("Палиндром")
else:
print("Не палиндром") |
# https://wikidocs.net/1015
s1 = set([1, 2, 3])
print(s1)
s2 = set('Hello')
print(s2)
s3 = set()
print(s3)
l1 = list(s1)
print(l1)
s1 = set([1, 2, 3, 4, 5, 6])
s2 = set([4, 5, 6, 7, 8, 9])
print(s1 & s2)
print(s1.intersection(s2))
print(s1 | s2)
print(s1.union(s2))
print(s1 - s2)
print(s1.difference(s2))
print(s1)
... |
from .src.graph_pb2 import GraphDef
from .src.node_def_pb2 import NodeDef
from .src.versions_pb2 import VersionDef
from .src.attr_value_pb2 import AttrValue
from .src.tensor_shape_pb2 import TensorShapeProto
from .src import types_pb2 as dt
from collections import defaultdict
import numpy as np
import chainer.variable
... |
# Copyright 2020 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from pants.core.util_rules.external_tool import TemplatedExternalTool
class GrpcPythonPlugin(TemplatedExternalTool):
options_scope = "grpc-python-plugin"
help = "The gRPC Protobu... |
# Generated by Django 2.1.3 on 2019-02-08 18:13
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blogapp', '0002_com'),
]
operations = [
migrations.CreateModel(
name='tegory',
fields=[
('id', model... |
from selenium import webdriver
import pytest
from selenium.webdriver.common.by import By
@pytest.yield_fixture()
def driver():
_driver = webdriver.Chrome()
yield _driver
_driver.quit()
def login(driver, username, password):
driver.get("http://localhost/litecart/admin/")
driver.find_element_by_na... |
import re
import string
import pandas as pd
data = pd.read_excel('sampledata.xlsx')
data.columns = ['Text']
print(data.head())
print(data.shape)
'''
Clean data
'''
from eunjeon import Mecab
from konlpy.tag import Okt
def preprocword(text):
def clean_text(text):
text = text.replace(".",... |
#!/usr/bin/env python3
import rospy
import numpy as np
from sensor_msgs.msg import Image,CameraInfo
from cv_bridge import CvBridge, CvBridgeError
import tf
from std_msgs.msg import String,Int64MultiArray
from geometry_msgs.msg import *
from vision_msgs.msg import Detection2DArray
def same_object(labels,Object):
c... |
'''
@Description:
@Date: 2020-05-06 23:47:09
@Author: Wong Symbol
@LastEditors: Wong Symbol
@LastEditTime: 2020-05-29 20:24:23
'''
'''
区间交集问题
问题描述：快速找出两组区间的交集
'''
def intervalIntersection(A, B):
i,j = 0,0 # 指针
res = [] # 保存结果
while i < len(A) and j < len(B):
a1,a2 = A[i][0],A[i][1]
b1,b2 = B[j][0],B[j][1]
... |
# auth : wdt0818@naver.com, bluehdh0926@gmail.com
#
import os
class PathSearcher():
def __init__(self):
self.setPath(os.environ['HOMEDRIVE'] + os.environ['HOMEPATH'] + "\AppData\Local\Packages")
self.is_find = False
self.findPath = ""
self.debug = False
def setPath(self, path... |
#!/usr/bin/env /data/mta/Script/Python3.8/envs/ska3-shiny/bin/python
#################################################################################################
# #
# extract_gyro_data.py: find gyro drift ... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# According to:
# http://liangjiabin.com/blog/2015/04/leetcode-best-time-to-buy-and-sell-stock.html
class Solution(object):
def maxProfit(self, prices):
"""
:type prices: List[int]
:rtype: int
"""
if not prices:
ret... |
from django.test import TestCase
from . import models
class AdsTestCase(TestCase):
def test_ads(self):
for i in range(20):
o = models.Ad(
title="Puppy #{}".format(i + 1),
description="lovely puppy, brown and happy",
posted_by="Udi",
... |
import collections
def chain_map():
a = {'a': 'a', 'c': 'c', 'num': 0}
b = {'b': 'b', 'c': 'cc'}
c = {'b': 'bbb', 'c': 'ccc'}
print(a)
a.update(b)
print(a)
a.update(c)
print(a)
print('---- chain map ----')
m = collections.ChainMap(a, b, c)
print(m)
print('--- m.maps -... |
#Variables
matriz = []
#Funciones
def mat(n):
for i in range (n):
matriz.append([])
for j in range (n):
matriz[i].append(0)
return matriz
def llenar(n):
matriz = mat(n)
for x in range (n):
for y in range (n):
matriz[x][y] = float(input('Valor de [' + str... |
from db_patient import Patient
import sendgrid
import os
import datetime
from sendgrid.helpers.mail import *
def existing_beats(patient_id):
"""
checks whether there are existing heart beats for a patient
:param patient_id: integer ID of patient to check if there is beat data
:return: True if patient... |
from django.conf.urls import url
from rest_framework_jwt.views import obtain_jwt_token, verify_jwt_token
from api import views
urlpatterns = [
url(r'^auth/token/?$', obtain_jwt_token,
name="obtain-token"),
url(r'^auth/token-verify/?$', verify_jwt_token,
name="verify-token"),
url(r'^cate... |
import uuid
import adal
from settings import settings
from office365.directory.group_profile import GroupProfile
from office365.graph_client import GraphClient
def acquire_token():
authority_url = 'https://login.microsoftonline.com/{0}'.format(settings['tenant'])
auth_ctx = adal.AuthenticationContext(author... |
import graphene
from ingredients.serializers import IngredientSerializers, CategorySerializers
class CategoryInput(graphene.InputObjectType):
name = graphene.String()
class IngredientInput(graphene.InputObjectType):
id = graphene.ID()
name = graphene.String()
category = graphene.ObjectType
|
# coding=utf8
from lib.models_others import CorpModel
from lib.corp import Corp
import re, urllib.parse, json, time
class ZJRCCorp(Corp):
def __init__(self):
config = {
'info_from': '浙江人才网',
'corplist_url': 'http://www.zjrc.com/Services/Jobs/GetSearch.ashx',
... |
#!/usr/bin/env python
#------------------------------------------------------------------------------
# Copyright 2008-2011 Istituto Nazionale di Fisica Nucleare (INFN)
#
# Licensed under the EUPL, Version 1.1 only (the "Licence").
# You may not use this work except in compliance with the Licence.
# You may obtain a co... |
__author__ = "Christian Kongsgaard"
__license__ = "MIT"
__version__ = "0.0.1"
# -------------------------------------------------------------------------------------------------------------------- #
# Imports
# Module imports
import cmf
from datetime import datetime
from datetime import timedelta
import numpy as np
i... |
from kivy.app import App
from kivy.factory import Factory
from kivy.uix.filechooser import FileChooser
from kivy.utils import *
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.actionbar import *
from kivy.uix.popup import Popup
from kivy.uix.button import ButtonBehavior
from kivy.uix.image import Image
from kiv... |
# Copyright 2021 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from pants.backend.terraform.goals.tailor import PutativeTerraformTargetsRequest
from pants.backend.terraform.goals.tailor import rules as terraform_tailor_rules
from pants.backend.terrafo... |
# Generated by Django 3.1.5 on 2021-01-30 20:27
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('reporter', '0002_auto_20210130_2017'),
]
operations = [
migrations.AlterField(
model_name='gpxfile',
name='gpx_file'... |
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