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from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('study/', views.study, name='study'),
path('teach/', views.teach, name='teach'),
path('search/', views.search, name='search')
] |
import torch, random
from Batch import nopeak_mask
import torch.nn.functional as F
import math, sys, traceback
def init_vars(src, model, SRC, TRG, opt):
init_tok = TRG.vocab.stoi['<sos>']
src_mask = (src != SRC.vocab.stoi['<pad>']).unsqueeze(-2)
if opt.nmt_model_type == 'transformer':
if opt... |
"""
Will read entire file in one go and retuns the values as a
string.
If file not found returns File Not Found String.
"""
def read_entire_file(filename):
try:
with open(filename) as file_obj:
return file_obj.read()
except FileNotFoundError as e:
print(e)
return f"{e.file... |
from django.conf import settings
CONNECTION = settings.ARKNODE_PARAMS
DELEGATE = {
'ADDRESS': 'AZse3vk8s3QEX1bqijFb21aSBeoF6vqLYE',
'PUBKEY': '0218b77efb312810c9a549e2cc658330fcc07f554d465673e08fa304fa59e67a0a',
'SECRET': settings.PASSPHRASE
}
|
'''
[sample code]
(https://github.com/xharaken/step2015/blob/master/calculator_modularize_2.py)
'''
def readNumber(line, index):
number = 0
while index < len(line) and line[index].isdigit():
number = number * 10 + int(line[index])
index += 1
if index < len(line) and line[index] == '.':
... |
#calculator for poer consumption
units = float(input("Please enter Number of Units you Consumed : "))
#USER CONSOLE
if units < 50:
amount = units * 3
elif units <= 100 and units>=51:
amount = 150 + ((units - 50) * 6)
elif units <= 200 and units>=101:
amount = 150 + 300 + ((units - 100) * 9)
else:
... |
# -*- coding: utf-8 -*-
"""
Created on Fri Sep 16 16:29:52 2016
@author: Shaurita D. Hutchins
"""
# Part 3: Use multiple sequence alignments in phylip format to create phylogenetic trees.
# Mark start of program with printed text description/title.
print("\n" + (81 * "#") + "\n" + "#### Part 3: Use multiple sequence... |
import os
from .base import ExecCompiler
class StylusCompiler(ExecCompiler):
result_mimetype = 'text/css'
executable = 'node'
params = [os.path.join(os.path.dirname(__file__), 'stylus.js')]
def get_args(self):
args = super(StylusCompiler, self).get_args()
args.append(self.asset.absol... |
import logging
import sqlalchemy_utils
from .config import DB_CONN_STRING
logging.getLogger().setLevel(logging.INFO)
def drop_database() -> None:
if sqlalchemy_utils.database_exists(DB_CONN_STRING):
sqlalchemy_utils.drop_database(DB_CONN_STRING)
logging.info('User identity database deleted')
... |
#dicionario de alunos
Alunos = {"marco": "email",
"paulo":"hotmail",
"matheus": "matheusemail",
"jean": "jeanemail",
}
def mostralist():
for aluno, email in Alunos.items():
print(aluno,":" ,email)
mostrarmenu()
#Mostrandando em oredem alfabetica
def mostra_alf():
for aluno, email in ... |
class Server:
def __init__(self):
self.server_data = []
def get_data(self):
return self.server_data
def upload_data(self, payload):
self.server_data = payload
|
import torch
from copy import deepcopy
from time import time
from .losses import model_norm, round_loss, models_dist
from .losses import node_local_loss, predict
from .metrics import extract_grad, sp
from .data_utility import expand_tens, one_hot_vids
from .visualisation import disp_one_by_line
from .hyperparameters i... |
from tcn import TemporalConvNet
import torch.nn as nn
class ContextNet(nn.Module):
def __init__(self, num_inputs, output_len, num_channels, kernel_size=2, dropout=0.2):
super(ContextNet, self).__init__()
self.m = TemporalConvNet(num_inputs, num_channels, kernel_size, dropout)
#for now just ... |
""" Class for Trainwave """
import numpy as np
from obspy import UTCDateTime
from obspy.signal.trigger import trigger_onset
from scipy.signal import hilbert
from locevdet.stations import Station
from locevdet.waveform_processing import trim_trace
from locevdet.utils import rolling_max, kurtosis_norm, starttimes_tr... |
from django.conf.urls import patterns, include, url
from django.conf.urls.static import static
from django.conf import settings
from django.contrib import admin
admin.autodiscover()
urlpatterns = (static(settings.STATIC_URL, document_root=settings.STATIC_ROOT)
+ static(settings.MEDIA_URL, document_root... |
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def levelOrder(self, root):
if root is None:
return []
que = [root, None]
ret = []
... |
# -*- coding: utf-8 -*-
# @Author : Erwin
import tensorflow as tf
"""
1. https://blog.csdn.net/cc1949/article/details/78422704
"""
# 一维测试
a = tf.constant([1, 2, 3, 2])
with tf.Session() as sess:
print("vector transpose:", sess.run(tf.transpose(a)))
print("=" * 80)
# 二维测试
a = tf.constant([1, 2, 3, 2], shape=[2, 2... |
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
from constants import *
class DecoderLSMT3(nn.Module):
def __init__(self, input_size, output_size, max_length=MAX_LENGTH):
super(DecoderLSTM3, self).__init__()
self.hidden_size = hidden_size
self.output_size... |
from networkapi.test.test_case import NetworkApiTestCase
from networkapi.plugins.SDN.ODL.flows.acl import AclFlowBuilder
class TestSendFlowsWithTCPFlags(NetworkApiTestCase):
""" Class to test flows that have tcp flags on it """
def test_flow_with_ack_flag(self):
""" Try to send a flow with ACK flag ... |
def main():
class_a_sold = int(input('How many class a sold:'))
class_b_sold = int(input('How many class b sold:'))
class_c_sold = int(input('How many class c sold:'))
calc(class_a_sold, class_b_sold, class_c_sold)
def calc(class_a, class_b, class_c):
total = class_a * 15 + class_b * 12 + class_c * 9
print('Tot... |
from django.http import HttpResponse
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
import json
from django.views.decorators.csrf import csrf_exempt
from freeLink.utils import error
from commonLink import models
from commonLink.repo import keywordContentRepo
@csrf_exempt
def rankingList(requ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Time : 下午3:49
Author : wangjf
GitHub : https://github.com/wjf0627
"""
import numpy as np
def rmse(predictions, targets):
# 真实值与目标值的误差
differences = predictions - targets
differences_squared = differences ** 2
mean_of_differences_squared = differ... |
import os
import csv
import log
import sys
import pytest
import filecmp
import stock
import installer
import updater
from global_vars import *
#PATH_FOR_INSTALLER = '/Users/Manda/StockWatch/development/' ## home
PATH_FOR_INSTALLER = '/Users/phillipbrown/StockWatch/development/' ## Uni
TEST_CODE = 'APT'
TEST_TIME_... |
#_*_ coding:utf-8 _*_
import sys
sys.path.append('..')
from sql.table import Table
from utils.log import Log
from task_tool import Task_Tool
'''
更新category中的book_count，book表中d_count,total,rate
'''
def update_category(logger,is_test=False):
##更新table category 的book_count
table = Table(logger=logger)
bo... |
from django.shortcuts import render
from .models import Post
def index(request):
posts = Post.objects.all().order_by('-created_at')
return render(request,"sharepic/index.html", {'posts':posts})
|
import math
import wpilib
from wpilib import SmartDashboard
from wpilib.command import Command
from wpilib.command import TimedCommand
class DriveStraightDistance(TimedCommand):
def __init__(self, distance = 10, timeout = 0):
super().__init__('DriveStraightDistance', timeoutInSeconds = timeout)
s... |
import time
import os
import timeit
from game_board import GameBoard
from game_logic import update_path_weights, update_position_weights, choose_path, check_gameOver
from submodule.piece_type import GAME_PIECE_O, GAME_PIECE_X
def run_game():
# create the game board
gameboard = GameBoard()
GameOver = Fa... |
from torch.utils.data import DataLoader
from torch.autograd import Variable
from Dataloader.Seq2Seq_DataLoader import DataTransformer
import pandas as pd
import numpy as np
import torch
import torch.nn as nn
from Model.Encoder import VanillaEncoder, BidirectionalGRUEncoder
from Model.Decoder import VanillaDecoder
fr... |
import requests
import json
import pickle
username = '15168301541'
password = 'ma199491'
params = {
'ck': '',
'name': username,
'password': password,
'remember': False,
'ticket': ''
}
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Geck... |
from model.Servicemodel import ServiceRecord
from lxml import etree
class SeniorDatingSites():
def __init__(self):
pass
def parsing(self, response):
return self.crawl(response,self.category,self.servicename)
def crawl(self, response, category, servicename):
reviews = []
self... |
grid = [['.', '.', '.', '.', '.', '.'],
['.', 'O', 'O', '.', '.', '.'],
['O', 'O', 'O', 'O', '.', '.'],
['O', 'O', 'O', 'O', 'O', '.'],
['.', 'O', 'O', 'O', 'O', 'O'],
['O', 'O', 'O', 'O', 'O', '.'],
['O', 'O', 'O', 'O', '.', '.'],
['.', 'O', 'O', '.', '.', '.'],
... |
from mediawiki import MediaWiki
import model_2_all
import sys
import os
def NE_features(data, i):
'''
Defines the features of all words in a dictionary.
'''
# Adds word and its POS tag
features = {
'word': data[i][3],
'POS': data[i][4],
}
# Adds the named entity tag
i... |
"""
test_app executes run().
Manually run in the project main directory.
"""
import sys, os
import json
from kivy.app import runTouchApp, stopTouchApp
from kivy.uix.gridlayout import GridLayout
sys.path.insert(1, os.path.join(sys.path[0], '..'))
from controller import Controller
from models import set_in_device, set_s... |
# coding: utf-8
import numpy as np
import matplotlib.pyplot as plt
import astropy
from astropy.io import fits
image_list = [ 'AGN_1.fits.gz','AGN_2.fits.gz','AGN_3.fits.gz','AGN_4.fits.gz','AGN_5.fits.gz','AGN_6.fits.gz','AGN_7.fits.gz','AGN_8.fits.gz','AGN_9.fits.gz','AGN_10.fits.gz','AGN_11.fits.gz','AGN_12.fits.gz'... |
# -*- coding: utf-8 -*-
from flask import request, redirect, url_for, render_template, Flask, flash
from apps import app
from apps.forms import EventsForm
@app.route('/events/events_create', methods=['GET', 'POST'])
def events_create():
form = EventsForm()
return render_template('events/events_create.h... |
def palindrome():
x = input("Tell me a word: ")
mid = int (len(x)/2)
for i in range(0, mid):
if x[i] != x[-(i + 1)]:
break
i += 1
return True
|
import os.path
lines = (line.rstrip('\n') for line in open("last_test_coverage.txt"))
for line in lines:
words = line.split()
fn = words[0].replace(".","/") + ".py"
if os.path.isfile(fn) and words[3] != "0%":
print fn |
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey, Float, Boolean
from sqlalchemy.dialects.postgresql import TIMESTAMP
Base = declarative_base()
class Arduino(Base):
__tablename__ = 'tb_arduino'
id = Column(Integer, primary_key=True, autoincre... |
import dgl
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class NeuPathLayer(nn.Module):
def __init__(self, in_dim, out_dim, num_types, num_relations, n_heads, dropout=0.2, use_norm=False):
super(NeuPathLayer, self).__init__()
self.in_dim = in_dim
... |
# Generated by Django 2.2.1 on 2019-06-04 18:48
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('questionnaire', '0007_auto_20190604_1615'),
]
operations = [
migrations.AlterModelOptions(
name... |
import requests
import json
output = open("manga.csv", "w", encoding="utf-8")
output.write("media_type_id, title, status, release_date, chapter_count, image_source\n")
data = []
# Get manga data from Kitsu API
for page in range(10):
response = requests.get(f"https://kitsu.io/api/edge/manga?page[limit]=20... |
_author_ = "Ethan Richards"
# CIS 125
#War
# WarV1.py
#Simulates a game of War.
import random
#build the full deck and decks for each player
Deck = []
A = []
B = []
rounds = 0
for i in range(52):
Deck.append(i)
random.shuffle(Deck)
for card in range(26):
A.append(Deck.pop())
B.append(Deck.pop())
... |
model = dict(
type='MaskRCNN', # The name of detector
pretrained='torchvision://resnet50', # The ImageNet pretrained backbone to be loaded
# The config of backbone
backbone=dict(
type='ResNet', # The type of the backbone
depth=50, # The depth of backbone, usually it is 50 or 101 for... |
import sys
import re
import select
import socket
import psutil
import threading
SERVER_PORT = 1006
CLIENT_PORT = 1903
LISTEN_MAX = 5
BUFSIZE = 4096
# SERVER_IP = "25.53.181.229"
# SERVER_IP = "25.10.32.20"
# SERVER_IP = "25.44.168.204"
# SERVER_IP = "25.6.9.155"
SERVER_IP = "172.27.44.23"
EMPTY_NAME = "__Em... |
H, M = map(int, input().split())
h, m = divmod(60*H+M-45, 60)
if h < 0:
print(h+24, m)
else:
print(h, m) |
#!/usr/bin/env python
from argparse import ArgumentParser
import matplotlib.pyplot as plt
from history_utils import plot_history_file
if __name__ == '__main__':
arg_parser = ArgumentParser(description='show training history')
arg_parser.add_argument('file', help='HDF5 file containing the '
... |
import winsound
import time
import sys
import numpy as np
import socket
import os
from random import randint
filename = "../Logs/SoundLogs/Sound_" + time.strftime("%Y%m%d-%H%M%S") + ".txt"
f = open(filename,'a') # Trying to create a new file or open one
# f.close()
current_milli_time = lambda: int(round(time.time()... |
#! /usr/bin/python -tt
########################################################################
# Copyright (c) 2011 by Vinny Murphy
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without re... |
#!/usr/bin/env python
#-*- coding:utf-8 _*-
"""
@File : rtckpi.py
@version : 0.1
@Author : Kelvin
@Time : 2020-03-01
--------------------------------------------------------------------
@Changes log:
2020-03-01 : 0.1 Create
"""
import getopt
import logging
import os
import sys
import config
im... |
'''
You've been preparing all night for the upcoming test and entered the class certain that you will ace it. Now that you received the test questions, you died inside a little: looks like you prepared for the test on a completely different topic.
You're not even sure if you should bother to answer the questions. You ... |
import random
from HeuristicaInsercionEjes import *
from HeuristicaInsercionNodos import *
from HeuristicaDeLaMediana import *
from SolucionSwapperTablaPoda import *
import psyco
from psyco import *
class Tp3:
def limpiarDibujo(self,d,losEjesDe):
g = d.g
marcados1 = d.l1
marcado... |
obj = hashlib.md5("sfdsg".encode("utf8")) #加盐加密
obj3 = hashlib.sha256("sfdsg".encode("utf8")) #加盐加密
obj1 = hashlib.md5("sfdsg".encode("utf8"))
obj.update("hello".encode("utf8"))
obj2.update("hello".encode("utf8"))
obj3.update("hello".encode("utf8"))
print(obj.hexdigest())
print(obj1.hexdigest())
print(obj3.hexdige... |
#-------------------------------------------------------------------------------
#
# Utility module tests.
#
# Author: Martin Paces <martin.paces@eox.at>
#
#-------------------------------------------------------------------------------
# Copyright (C) 2017 EOX IT Services GmbH
#
# Permission is hereby granted, free o... |
"""
entrada
a-->int-->a
b-->int-->b
c-->int-->c
salida
respuesta-->str-->resultado
"""
a, b, c, d = map(int, input("Digite los 4 datos: ").split())
if d==0 :
resultado = (a-c)**2
elif d>0 :
resultado = ((a-b)**3)/d
print("El resultado es: "+str (resultado))
|
# 8. Матрица 5x4 заполняется вводом с клавиатуры, кроме
# последних элементов строк. Программа должна вычислять
# сумму введенных элементов каждой строки и записывать ее в
# последнюю ячейку строки. В конце следует вывести полученную
# матрицу.
m = 5
n = 4
b = []
a = []
sum = 0
for i in range(n):
print(f'{i}-я с... |
#! /usr/bin/env python
import vrx_gazebo_python.generator_scripts.wamv_config.configure_wamv
if __name__ == '__main__':
vrx_gazebo_python.generator_scripts.wamv_config.configure_wamv.main()
|
import cv2
import sys
import random
def detect(ImagePath):
# get cascade path
cascPath = 'haarcascade_frontalface_default.xml'
#create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)
#read image and convert to grayscale
image = cv2.imread(ImagePath)
gray = cv2.cvtColor(imag... |
import time
import re
from tenacity import retry, stop_after_attempt, wait_exponential
import requests
import lxml.html
TEMPORARY_ERROR_CODES = (408, 500, 502, 503, 504)
def scrape_list_page(res_list):
html_list = lxml.html.fromstring(res_list.text)
a_list = html_list.cssselect('#main table td.link > a')
a_lis... |
# https://leetcode.com/problems/number-of-islands/
def numIslands(grid):
# looks like DFS
# keep going while you can reach 1s, and add those 1s to visited hash
# append 1 to numberOfIslands
# keep recursing, check for visited, if not visited and it's 1, repeat above
result = 0
for i ... |
"""Condensed-Nearest Neighbors (CNN) Instance Selection 的方法"""
import numpy as np
from sklearn.utils.validation import check_X_y
from sklearn.utils import check_array
from sklearn.neighbors.classification import KNeighborsClassifier
class CNN():
""""Condensed-Nearest Neighbors (CNN)
每個類別都需要一... |
#!/usr/bin/env python
# encoding: utf-8
"""
__init__.py
"""
import datetime
import itertools
import os
from nprslurp.version import VERSION as __version__
__all__ = ['nprslurp']
FILE = "{date.year}{date.month:02d}{date.day:02d}_{show}_{part:02d}.mp3"
URL = "http://public.npr.org/anon.npr-mp3/npr/{show}/{date.year}/{... |
from distutils.core import setup
README = open('README.md').read()
setup(
author="R. C. Thomas",
author_email="rcthomas@lbl.gov",
description="IPython magic for SLURM.",
long_description=README,
name="slurm-magic",
py_modules=["slurm_magic"],
requires=["ipython"... |
import matplotlib.pyplot as plt
# matplotlib.use("Qt5Agg")
import numpy as np
import pandas as pd
import Environments.transportEnvOld as transport
from spinup.algos.sac.sac import sac
env = transport.transportENV()
env_fn = lambda: env
# env_fn = lambda : gym.make('Pendulum-v0')
# if __name__ == '__main__':
#
# ... |
# Generated by Django 3.1.6 on 2021-02-04 05:14
import datetime
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Amenities',
... |
import unittest
class Node:
"""Klasa reprezentująca węzeł drzewa binarnego."""
def __init__(self, data=None, left=None, right=None):
self.data = data
self.left = left
self.right = right
def __str__(self):
return str(self.data)
def count_leafs(top):
if top.data is No... |
from classifiers.knn import KNN
from classifiers.svm import SVM
from data_utils import get_data, subsample_data, normalize_data, show_image
from classification_utils import cross_validate_params, predict_success_rate, cross_validate_and_predict
CIFAR10_FOLDER = 'cifar10_data'
# KNN HYPERPARAMETERS
Ks = (1, 3, 5, 8, 1... |
from bs4 import BeautifulSoup
import time
import pandas as pd
import json
import requests
import datetime
import os
import csv
dflist = pd.DataFrame()
###setting path
ltn_dict = r'./ltn_dict' #存至此目錄
###if directory not exist add it
if not os.path.exists(ltn_dict): #若目錄不存在則新增一個
os.mkdir(ltn_dict)
###setting tod... |
from email.mime.text import MIMEText
import smtplib
def send_email(email,height,average_height,count):
from_email="zyc378028556@gmail.com"
from_passward="5015022zyc..."
to_email=email
subject="Height data"
message="Hey there, your height is <strong>%s</strong>.<br>Average height of all is <strong>... |
# -*- coding: utf-8 -*-
"""
Created on Tue Feb 7 13:32:59 2017
@author: jasonhuang
"""
import pandas as pd
import numpy as np
#import matplotlib.pyplot as plt
inspect_data = 'nyc_ind_inspect.pkl'
pkl_path = '../../Data/Pickles/'
df = pd.read_pickle(inspect_data)
#dta_path = 'Data/DTA/'
df.sort_values(['CAMIS','INSP... |
from cvxpy import *
from os import listdir
import numpy
import glob
import os
import subprocess
import time
import numpy as np
import matplotlib.pyplot as plt
def run_testfile(filename):
print filename
settings.USE_CVXCANON = False
exec("from cvxpy import *\nsettings.USE_CVXCANON=False\n" + open(filename).read... |
import pgzrun
import pygame
from random import randint, choice
import string
WIDTH = 800
HEIGHT = 600
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
bgbutton = pygame.display.set_mode((WIDTH,HEIGHT))
image = pygame.image.load(r'PRGAME\images\img1.jpg')
image1 = pygame.image.load(r'PRGAME\images\img2.jpg')
image2 = pygame... |
import boto3
import click
from .click_tools import click_defaults
@click.option("--export-type", "-e", type=click.Choice(["cfn"]), default="cfn")
@click.argument("name")
@click_defaults
def click_import_value(export_type, name):
if export_type == "cfn":
print(cloudformation_export(name))
def cloudform... |
from django.contrib import admin
from .models import Users, Courses, Lectures, HomeworkSolution, Mark, CommentsToHomework
admin.site.register(Users)
admin.site.register(Courses)
admin.site.register(Lectures)
admin.site.register(HomeworkSolution)
admin.site.register(Mark)
admin.site.register(CommentsToHomework)
|
from rest_framework.routers import DefaultRouter
from django.urls import path, include, re_path
from . import views as posts_views
router = DefaultRouter()
router.register(r'posts', posts_views.PostsView, basename='posts')
router.register(r'comments', posts_views.CommentsView, basename='comments')
urlpatterns = [
... |
# ==============================================
# Cameras
# ==============================================
from POVRaySimulatedCameraDevice import *
from FakeCameraDevice import *
try:
from ProsilicaCameraDevice import *
except e:
pass
# ==============================================
# LED Controllers
# ========... |
# 暂未调通，不知原因
import nose2
from nose2.tools import params
from src.demo.calculator import Calculator
test_data = [
{"nums": (3, 5), "total": 8},
{"nums": (1, 2), "total": 3},
{"nums": (2, 2), "total": 4}
]
@params(*test_data)
def test_add(data):
c = Calculator()
result = c.add(*data["nums"])
... |
# Copyright CERFACS (http://cerfacs.fr/)
# Apache License, Version 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
#
# Author: Natalia Tatarinova
from netCDF4 import MFDataset
import numpy
import util_dt
def get_tile_dimension(in_files, var_name, transfer_limit_Mbytes=None, time_range=None):
'''
Computes ... |
# -*- coding: utf-8 -*-
import requests
import json
import os
from . import ispras
class API(ispras.API):
"""This class provides methods to work with Texterra REST via OpenAPI, including NLP and EKB methods and custom queriesю
Note that NLP methods return annotations only"""
# Default Texterra path
texterra... |
import logging
import sys
def load_logger_conf():
FORMAT = '%(asctime)-15s %(message)s'
logging.basicConfig(filename='loggings.log', level=logging.INFO, format=FORMAT)
logging.getLogger().setLevel(logging.INFO)
# add the handler to the root logger
formatter = logging.Formatter('[%(asctime)s] %(mess... |
import hashlib
import sqlite3
from functools import partial
from tkinter import *
from tkinter import simpledialog
from tkinter import ttk
from passgen import passGenerator
with sqlite3.connect('pv.db') as db:
cursor = db.cursor()
cursor.execute("""
CREATE TABLE IF NOT EXISTS masterpassword(
id INTEGER PRIMARY... |
'''Interfaces with the Crypt class and creates a GUI.'''
__author__ = 'Stephen'
__version__ = '1.0'
from Crypt import Crypt
import os
from Tkinter import *
from tkSimpleDialog import *
from tkFileDialog import *
from tkMessageBox import *
class Application:
'''Creates a GUI to interact with.'''
def __init_... |
##############################################################################
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression, SGDClassifier
"""This module contains all variables for experimentation and prediction."""
# FILENAME OF THE ENCODED HEADERS CREATED... |
import os, re, json
import time
from datetime import datetime, date, timedelta
from flask import Flask, request, abort
import requests
from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError
)
from linebot.models import (
MessageEvent, TextMessage, TextSendM... |
#!/usr/bin/env python
import threading
import time
def worker():
print("i'm thread")
t = threading.current_thread()
time.sleep(8)
print(t.name)
#new_t = threading.Thread(target=worker, name='sjk_thread')
#new_t.start()
worker()
t = threading.current_thread()
print(t.name)
|
import requests
import pandas as pd
import numpy as np
from pandas import read_csv
import glob
import time
import datetime
import os
import os.path
# Get Stock Tickers
ticker = read_csv('/Data/TICKER.csv',header = None) # e.g. 0001.HK
path = '/Data/'
IDList = list(ticker[0])
IDList.sort()
# Set Dates... |
from flask import Flask, render_template, request, redirect #added request
app = Flask(__name__)
# We will let the index page handle the form rendering
@app.route('/')
def index():
return render_template('index.html')
# The users page handles sending the info entered in the form to the backend via a dictionary.
@... |
"""
findTubelets.py is a utility that will eventually be merged with
extracFrames.py to process the tubelets from videos in an online
manner.
Precondition: There exist dataSet directories such as UCF,
Validation, Test that contain directories corresponding to video
names such as v_ApplyEyeMakeup_g08_c01.
Each di... |
import numpy as np
import os
from PIL import Image
def load(dir, files, reshaped):
"Load .npy or .npz files from disk and return them as numpy arrays. \
Takes in a list of filenames and returns a list of numpy arrays."
data = []
for file in files:
f = np.load(dir + file)
if reshaped:
... |
from time import sleep
from selenium.webdriver.common.by import By
from Test.PageObject.BasePage.Common import base_class
from Test.PageObject.Locators import Locator
class Registration(object):
def __init__(self, driver):
self.driver = driver
# Defining the locators of Registration
sel... |
from __future__ import print_function
import argparse
import os
import torch
from model import Model
from video_dataset import Dataset
from test import test
from train import train
#from logger import Logger
from torch.utils.tensorboard import SummaryWriter as Logger
import options
torch.set_default_tensor_type('torch.... |
import scrapy
class DataSpider(scrapy.Spider):
name = "data"
start_urls = ['https://shop.mango.com/bg-en/women/skirts-midi/midi-satin-skirt_17042020.html?c=99', ]
def parse(self, response, **kwargs):
name = response.css('h1.product-name::text').get()
price = response.css('span.product-sa... |
from bintree import get_visible_nodes, Treenode
def test_empty_tree():
assert get_visible_nodes(None) == -1
def test_one_node():
assert get_visible_nodes(Treenode(11, None, None)) == 1
def test_multiple_nodes():
n15 = Treenode(7, None, None)
n14 = Treenode(4, None, None)
n13 = Treenode(33, Non... |
def cost(x,y,w):
n = len(x)
total_error = 0.0
for i in range(n):
cost = (y[i]-w*x[i])**2
total_error+=cost
return total_error/n
def update(x,y,w,lr):
m_deriv = 0
n = len(x)
for i in range(n):
m_deriv = m_deriv - 2*x[i] * (y[i] - (w*x[i]))
... |
# Naam: Christiaan Posthuma
# Datum: vandaag 11 okt
# Versie: 1.0.0.0
########################################
import tkinter as tk # importeer methodes voor keuzemenu vanuit tkinder module
import tkinter.filedialog as tkFile
openwindow = tk.Tk() # opent een window voor het keuzemenu
openwindow.withdraw() # haal... |
import sys
from itertools import product,combinations
from time import time
'''
python FrequentWordsMismatch.py input.txt
'''
Out=open("output.txt",'w')
Input=open(sys.argv[1])
Input=Input.read().split("\n")
String=Input[0]
K=int(Input[1].split(" ")[0])
mis=int(Input[1].split(" ")[1])
def reverse_complement(s):
c... |
n1 = int(input('Digite um numero para saber toda a sua tabuada:'))
n2 = n1*1
n3 = n1*2
n4 = n1*3
n5 = n1*4
n6 = n1*5
n7 = n1*6
n8 = n1*7
n9 = n1*8
n10 = n1*9
print('A tabuada de {} é:'.format(n1))
print('{} x 1 = {} \n{} x 2 = {} \n{} x 3 = {} \n{} x 4 = {} \n{} x 5 = {} \n{} x 6 = {} \n{} x 7 = {} \n{} x 8 = {} \n{}... |
import FWCore.ParameterSet.Config as cms
from RecoMuon.TrackingTools.MuonServiceProxy_cff import *
from DQMServices.Core.DQMEDAnalyzer import DQMEDAnalyzer
muonEnergyDepositAnalyzer = DQMEDAnalyzer('MuonEnergyDepositAnalyzer',
MuonServiceProxy,
... |
import sys
from collections import deque
while True:
line = sys.stdin.readline().strip()
n, k = [int(x) for x in line.split()]
if n == 0 and k == 0:
break
row = deque()
for i in range(0, n):
row.append(i)
payment = [40] * n
cash = 1
dispense = cash
while row:
... |
""" SQLite database to persist the values. """
import sqlite3
from time import time
class DB:
def create_db(self):
""" Create connection and table in SQLite DB. """
file = f'databases/values_{int(time())}.db'
open(file, 'w') # TODO: 2 files are created
self.conn = sqlite3.connec... |
from contextlib import redirect_stdout
import sys
def manufacture_title():
TITLE_PREFIX = '3.3.2'
FUNC_LVL = '#' * 5
FUNC_NUM = 2
DETAIL_LEVEL = FUNC_LVL + '#'
for i in range(8, FUNC_NUM+8):
print(f'{FUNC_LVL} {TITLE_PREFIX}.{i}')
print(f'{DETAIL_LEVEL} {TITLE_PREFIX}.{i}.1 功能描述')
... |
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