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# -*- coding: utf-8 -*-
import os
from extractor import *
extractor = CLAbstractExtractor()
parent_folder = "../articles"
output_folder = "../output"
with open(output_folder + "/" + "log.txt", "w") as log:
for (_, _, filenames) in os.walk(parent_folder):
for filename in filenames:
try:
... |
from tkinter import *
import tkinter.messagebox
from random import randint
from users import *
from Vehicles import *
from rental_info import *
import tkinter
from tkcalendar import *
import pymongo
from pymongo import MongoClient
cluster = MongoClient("mongodb+srv://amogh:amogh@shivi-usyoc.mongodb.n... |
# -*- coding: utf-8 -*-"""
"""
This module encapsulates the logic of the model view controller.
Classes Provided:
GroupPoints(list)
a list of ('Coord', ['x', 'y']).
ClusterPoints(GroupPoints)
extends GroupPoints with 'medoid(self)' and 'overlaps(self, other)' methods.
"""
# Python Standard Libarary
from ... |
# Mountaineer
from Globals import *
from Utilities import *
def setup():
fullScreen()
# Keeps images from going blurry
noSmooth()
# Where I store everything accessed by draw()
global globals
globals = Globals(width, height)
# Part of the init for the player
globals.player... |
# -*- coding: utf-8 -*-
import serial
from django.shortcuts import render
from django.http import HttpResponse, HttpRequest
from django.contrib.auth import login, logout
from django.shortcuts import redirect
from django.core.urlresolvers import reverse
from django.contrib import messages
from django.template import ... |
import unittest
from tree_data import FileSystemTree
from tree_data_helper_test import print_directory
DIR_PATH = "Testing\\"
WIDTH = 1000
HEIGHT = 600
class Test_File_System_Get_Leaf(unittest.TestCase):
# Testing the corners of Testing\\Depth 2
def test_rectangle_corners(self):
filesys =... |
from itertools import product
functions = dict(triangle=lambda n: n * (n+1) / 2,
square=lambda n: n**2,
pentagonal=lambda n: n * (3*n - 1) / 2,
hexagonal=lambda n: n * (2*n - 1),
heptagonal=lambda n: n * (5*n - 3) / 2,
octagonal=lambd... |
import hmac
import time
import urlparse
from hashlib import sha1
from time import time
from .account import get_temp_url_key, set_temp_url_key
from .credentials import swift
class Object(object):
""" A swift object.
Can be initialized by specifying a full name (includes container),
or container and nam... |
def permuta(a,b,c):
temp = a
a = b
b = temp
print("A = " + str(a) + ", B = " + str(b) + ",C = " + str(c))
x = input()
y = input()
z = input()
permuta(x,y,z)
permuta(y,z,x)
permuta(x,y,z)
permuta(x,z,y)
|
import tensorflow as tf
import os
from gmc.conf import settings
from gmc.core.cache import store
class NN:
def __init__(self, dataset, n_input=None):
self.data = dataset
self.layers = []
self.weights = []
self.bias = []
self.results_dir = os.path.join(settings.BRAIN_DIR, "nn... |
from djl_ui import *
from djl_templater import *
class PostResponder(object):
def __init__(self, posts, template, graph):
self.posts = posts
self.template = template
self.templater = Templater()
self.graph = graph
def respond(self):
for post in self.posts:
s... |
import os
from path import Path
def delete_file(DIRECTORY,filename):
d = Path(DIRECTORY)
#replace directory with your desired directory
for i in d.walk():
if i.isfile():
if i.name == filename:
i.remove()
def delete_file_by_extension(DIRECTORY, extension= "*.pyc... |
import os
import struct
from transitions.extensions import GraphMachine
from Game.utils import send_push_message, send_reply_message
class GameMachine(GraphMachine):
def __init__(self, user_id, **machine_configs):
self.machine = GraphMachine(model = self, **machine_configs)
self.user_id = user_id
... |
# coding: utf-8
import sys
import argparse
import lglass.generators.roa
import lglass.database.file
def build_argparser():
argparser = argparse.ArgumentParser(description="Generator for ROA tables")
argparser.add_argument("--database", "-D", default=".", type=str,
help="Path to database")
argparser.add_argumen... |
import re
finename = "sequencias.fasta"
match = int (1)
mismatch = int(-1)
gaps = int (-2)
#lendo o arquivo .fasta
with open(finename) as f:
arquivo = f.readlines()
#transformando o arquivo em string
sequencia = ''.join(arquivo)
#dividindo cada fita
fitaCodificadora = re.split('\n', sequencia)
s = re.split('... |
#!/usr/bin/env python
import os
import subprocess
p = subprocess.Popen("/home/dstarr/src/TCP/Software/ingest_tools/lcs_classif.py http://127.0.0.1:5123/get_lc_data/?filename=dotastro_215153.dat&sep=,", shell=True, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, close_fds=True)
sts = os.waitpid(p... |
from django.db import models
from django.contrib.auth.models import AbstractUser
from django.utils.translation import ugettext_lazy as _
from .managers import CustomUserManager
class User(AbstractUser):
username = None
first_name = models.CharField(max_length=255)
last_name = models.CharField(max_length=2... |
import numpy as np
import pandas as pd
tmass= pd.read_csv("/users/alex/Data/tmassF.min.db")
print("imported 2mass")
vvv = pd.read_csv("/users/alex/Data/vvvEQUF.min.db")
print("imported vvv")
print(tmass)
print(vvv)
|
"""Top-level package for fundamentals_of_data_science."""
__author__ = """Andrew Stewart"""
__email__ = 'andrew.c.stewart@gmail.com'
__version__ = '2.0.0'
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# geraTabFreq.py
#
# Copyright 2015 Cristian <csanterio@gmail.com>
"""
6. Construa a tabela de frequencias de palavras das bíblias católica e protestante, novo e velho testamento.
Salve as tabelas em arquivos separados. Em seguida, use a planilha eletrônica para cria... |
import os
import sys
import argparse
import math
import shutil
import time
import logging
from io import open
import numpy as np
import torch
from torch import nn
from torch.nn import init
from torch.nn.parameter import Parameter
import torch.nn.functional as F
import torch.optim as optim
#python train_cifar_dvs_snn... |
from bs4 import BeautifulSoup as BS
from urllib.request import urlopen
import csv
html = urlopen("https://en.wikipedia.org/wiki/List_of_international_cricket_centuries_by_Sachin_Tendulkar")
bsObj = BS(html, "html.parser")
table_of_interest = bsObj.findAll("table", {"class":"wikitable"})[1] # 1 for Test Centuries
rows ... |
import turtle
canvas = turtle.Screen()
leo = turtle.Turtle()
for i in range(5):
leo.forward(50)
leo.right(145)
canvas.exitonclick() |
"""Miscellaneous functions for Canto, Raga, Wilkin (1996) bow shocks
"""
import numpy as np
def th1_approx(th, beta):
"""Equation (26) of CRW"""
fac = 0.8*beta*(1.0 - th/np.tan(th))
return np.sqrt(7.5*(np.sqrt(1.0 + fac) - 1.0))
def radius(th, th1):
"""Radius in terms of D from Eq (23) of CRW
... |
# import env
Import('env')
env.Append(LIBS=['purple'])
env.Append(LIBPATH='.')
env.Append(CPPPATH = ['/usr/include/glib-2.0/','/usr/lib/glib-2.0/include/','/usr/include/libpurple/'])
#env.ParseConfig( 'pkg-config --cflags --libs glib-2.0')
env.Object([Glob('*.cpp')])
|
from drivers.driverchrome import DriverChrome
from drivers.driverfirefox import DriverFirefox
from drivers.driverIE import DriverIE
class DriverFactory():
@staticmethod
def get_driver(browser):
if browser== "chrome":
return DriverChrome()
if browser== "firefox":
return ... |
from tkinter import *
from tkinter import messagebox
import requests
from bs4 import BeautifulSoup
import re
import webbrowser
def Spider():
url = var1.get()
pattern = re.compile(r'av[0-9]*')
matchResult = pattern.search(url)
if not matchResult:
messagebox.showinfo("警告", "输入非法!!!")
html = r... |
"""
ゼロから学ぶスパイキングニューラルネットワーク
- Spiking Neural Networks from Scratch
Copyright (c) 2020 HiroshiARAKI. All Rights Reserved.
"""
import numpy as np
import matplotlib.pyplot as plt
def lif(currents, time: int, dt: float = 1.0, rest=-65, th=-40, ref=3, tc_decay=100):
""" simple LIF neuron """
time = int(time / dt... |
"""
Simple python script that launches a worker (for rq).
"""
from misc.env_vars import *
from rq import Worker, Queue, Connection
if __name__ == '__main__':
with Connection(REDIS_CONN):
worker = Worker(Queue('default'))
worker.work(logging_level="INFO")
|
#######
####### Ensure that opencv-contrib is installed
#######
import cv2
import argparse
import sys
import math
import numpy as np
import time as t
import os
from yolo import yolo_on_one_frame
from stereo_to_3d import stereo_to_3d_wls
master_path_to_dataset = "C://Users//joebo//Documents//00uni//year3//vision//TT... |
"""Application config"""
import os
PWD = os.path.abspath(os.curdir)
SECRET_KEY = "8dd09dcb561d308eca351346b8f5a37c6ff33dc39d41154e82b9c4ccc6fde33b691be96ef24692be"
DB_NAME = "truthiness.db"
NETWORK = b'\x6f'
SQLALCHEMY_DATABASE_URI = 'sqlite:///{}/{}'.format(PWD, DB_NAME)
|
import sys
import os
import django
from twilio.rest import Client
from twilio.twiml.messaging_response import MessagingResponse
sys.path.append(os.getcwd())
os.environ["DJANGO_SETTINGS_MODULE"] = "emblazEX.settings"
django.setup()
TWILIO_ACCOUNT_SID = os.environ.get("TWILIO_ACCOUNT_SID")
TWILIO_AUTH_TOKEN = os.envi... |
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
df = pd.read_csv(r'C:\Users\HP\Desktop\Matter\python\machinelearning\House_Price.csv', header=0)
pd.set_option('display.expand_frame_repr', False)
print(df.head())
print(df.shape)
print(df.describe())
"""
print(sns.jo... |
#!/bin/python3
import sys
def quickSort(arr):
left = []
equal = []
right = []
pivot = arr[0]
for x in arr:
if x == pivot:
equal.append(x)
elif x > pivot:
right.append(x)
else:
left.append(x)
arr[:] =[]
arr += left
arr += equa... |
import re
import time
import tornado
from tornado import gen
from tornado import web
from tornado.ioloop import IOLoop
from providers.google_rss import GoogleRSS
from utils import config
class FeedHandler(tornado.web.RequestHandler):
def data_received(self, chunk):
pass
def __init__(self, applicati... |
import subprocess
from datetime import datetime
import time
import random
def jtalk_normal(t):
open_jtalk=['open_jtalk']
mech=['-x','/var/lib/mecab/dic/open-jtalk/naist-jdic']
htsvoice=['-m','/usr/share/hts-voice/mei/mei_normal.htsvoice']
speed=['-r','1.0']
outwav=['-ow','open_jtalk.wav']
cmd=... |
r=input()
if r.isnumeric():
h=int(r)
if h%2==0:
print("Even")
else:
print("Odd")
else:
print("invalid")
|
#encoding=UTF8
'''
导入redis接口
使用时，直接使用r.get,r.set等方法即可
'''
import redis
r=redis.Redis(host='192.168.184.128',port=6379,db=0)
|
# preprocessing for ml model
'''
1. clean the data (optional)
2. use tfiffvectorizer
'''
# preprocessing for dl model
'''
1. clean the data (optional)
2. use the tokenizer to convert to sequences
3. pad the sequences
'''
# Trying out preprocessing using the same pipeline as our project
#helper functions for lemm... |
import unittest
from src.insertion_sort import insertion_sort
class InsertionSortTest(unittest.TestCase):
def test_correct_worc(self):
unsorted_list = [5, 4, 3, 2, 1]
sorted_list = [1, 2, 3, 4, 5]
self.assertListEqual(insertion_sort(unsorted_list), sorted_list)
def test_second_corre... |
def disl_relax_script(pair_info, units, atom_style, masses, read_data, temp = 0):
mass = ''
group_move = ''
for i in xrange(len(masses)):
mass += 'mass %i %f\n'%(i+1,masses[i])
if i < len(masses)/2:
group_move += ' '+str(i+1)
newline = '\n'
script = newline.join(['bound... |
# 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... |
#!/usr/bin/env python
# Copyright (C) 2012 Google Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list ... |
# coding: utf-8
"""
Context manager
"""
fh = open('test_file_path.txt', 'a')
# fh.write('test string')
# fh.writelines(['test string'])
print fh.readlines() # -> ['', '']
fh.close()
with open('test_file_path.txt', 'r') as fh:
lines = fh.readlines()
print lines
class Hypervisor(object):
"""
Hy... |
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 23 16:15:06 2020
@author: 100293
"""
import cx_Oracle
import pandas as pd
conn=cx_Oracle.connect("xxxxxxx","xxxxxxx","xxxxxxx")
querry="SELECT * FROM pharma_sales_master WHERE ROWNUM <= 1000"
df1=pd.read_sql_query(querry,conn)
df1.shape
df1.describe()
... |
from django.core.management.base import BaseCommand
from django.conf import settings
from architect.monitor.models import Monitor
class Command(BaseCommand):
help = 'Synchronise Monitor objects'
def handle(self, *args, **options):
for engine_name, engine in settings.MONITOR_ENGINES.items():
... |
from django.apps import AppConfig
class PhDAmissionPortalConfig(AppConfig):
name = 'phDAdmissionPortal'
|
import os
import boto3
from .formatter import FormatReport
from .sender import SendReport, sender_sns, sender_stdout
def parse_args():
return {'region': 'us-west-2'}
def list_to_dict(obj, key='Key', value='Value'):
return {o[key]: o[value] for o in obj}
class AutoScaling:
def __init__(self, region):... |
# -*- coding: utf-8 -*-
from app.models.meta import metadata, Base
from sqlalchemy import Table, Column, Integer, Date, Text
from sqlalchemy.orm import mapper
from sqlalchemy.sql.expression import desc
import web
news_table = Table("NEWS", metadata,
Column("id", Integer, primary_key=True... |
# with open('weather_data.csv') as data_file:
# data = data_file.readlines()
# print(data)
# import csv
#
#
# with open('weather_data.csv') as data_file:
# data = csv.reader(data_file)
# flag = False
# temperatures = []
# for row in data:
# if flag:
# temperatures.append(int(... |
import random
inputs = {"hallo" : "hello", "katze" : "cat"}
def recover():
with open("words", "r") as f:
for line in f:
(key, value) = line.split()
inputs[key] = value
print(inputs)
def safe():
file = open("words", "w")
for keys in inputs:
file.write(keys + " " + inputs[keys])
file.write("\n")
def n... |
import numpy as np
import torchvision.transforms as transforms
import torch
import cv2
from . import cifar
from . import cub200_2011
LOADER_LUT = {
'cifar' : cifar.CIFARData,
'cub200_2011': cub200_2011.CUBData,
}
def get_loader(dataset_type, data_path, loader_type, label_path=None, cfg=None, logg... |
from sympy import pprint
from sympy import Symbol
from sympy import Eq
from sympy import simplify
from sympy.solvers import solve
ex_new = Symbol("E_x|t+dt; i,j,k")
ex_old = Symbol("E_x|t; i,j,k")
dt = Symbol("dt")
dx = Symbol("dx")
dy = Symbol("dy")
dz = Symbol("dz")
sigma_x = Symbol("o`x")
sigma_y = Symbol("o`y")
si... |
from uc.itm import UCWrappedFunctionality
from uc.utils import wait_for
import logging
log = logging.getLogger(__name__)
class Contract_Pay(UCWrappedFunctionality):
def __init__(self, k, bits, sid, pid, channels, pump, poly, importargs):
self.ssid = sid[0]
self.P_s = sid[1]
self.P_r = s... |
from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer
import numpy as np
import pandas as pd
from scipy.sparse import csr_matrix
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
train_20news = fetch_20newsgroups(subset='train'... |
import torch
import torch.nn as nn
from torch.distributions import MultivariateNormal
import numpy as np
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
class Memory:
def __init__(self):
self.actions = []
self.ee_pos = []
self.logprobs = []
self.rewards = []... |
from betterapis.app import api, db
if __name__ == '__main__':
db.create_all()
api.run(port=8080, debug=True)
|
"""Top-level project Main function."""
from ColumnCropper import ColumnCropper
import ImageReader
import RunTimeData
import ColumnWindowFinder
import sys
sys.path.append('../../runtime_data/')
import RunTimeData
def main():
"""Read file directory images and the run the Image Operator aggregate function."""
... |
#!/usr/bin/env python3
# LSST Data Management System
# Copyright 2014 LSST Corporation.
#
# This product includes software developed by the
# LSST Project (http://www.lsst.org/).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as publishe... |
#定义列表
class Node:
def __init__(self,v):
self.val=v
self.next=None
#列表转链表
def ls_node(ls):
head=Node(None)
p=head #p为链表指针
for i in ls:
p.next=Node(i)
p=p.next
return head.next
#链表转列表
def node_ls(head):
ls=[]
while True:
ls.append(head.val)
he... |
UPLOAD_FOLDER = 'images/'
MAX_FILE_SIZE_MB = 5
|
#!/usr/bin/env python
"""Test suite for aospy.timedate module."""
import datetime
import cftime
import numpy as np
import pandas as pd
import pytest
import xarray as xr
from itertools import product
from aospy.data_loader import set_grid_attrs_as_coords
from aospy.internal_names import (
BOUNDS_STR,
RAW_STAR... |
# Generated by Django 3.0.4 on 2020-03-17 06:52
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('titanic', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='titanic',
name='Fare',
),
]
|
# Calculator of angle between hour and minute needle
print("This program indicates the angle between hour and minute needle!. "
"This program works with 12 hour clock !")
# Error handling code block.
H = 0
M = 0
while 1 >= H <= 12 and 1 >= M <= 60:
try:
H = int(input("Please introduce the hour betw... |
from django import forms
import datetime
from django.contrib.admin import widgets
from django.contrib.admin.widgets import AdminTimeWidget,AdminDateWidget
#import html5.forms.widgets as html5_widgets
#from suit.widgets import SuitDateWidget, SuitTimeWidget, SuitSplitDateTimeWidget
from functools import partial
DateInpu... |
import datetime
from io import StringIO
import sys
import signal
import time
import os
import configparser
from configobj import ConfigObj
from subprocess import call
import logging
from watchdog.observers import Observer
from watchdog.events import LoggingEventHandler
from watchdog.events import FileSystemEventHandle... |
import cv2
import os
import time
import click
@click.command()
@click.option('--model-name', default='haarcascade_frontalface_default.xml',
help='The name of the pre-trained model to load. Download more from https://github.com/opencv/opencv/tree/master/data/haarcascades')
@click.option('--camera-id', def... |
#===============================================================================
# The application will not be able to exit out of the Task phase
# unless the criteria are met.
# Gating criteria are only evaluated during process.
# Expects GatingChannel's signal to be scaled so +1.0 is the top of the screen
# -e.g., i... |
raio = int(input())
PI = 3.14159
volume = (4 * PI * (raio**3)) / 3
print(f"VOLUME = {volume:.3f}")
|
# -*- coding: utf-8 -*-
from lxml import html
from dataPreprocess import dataPreprocess
from public_functions import *
__author__ = 'benywon'
class QASentdataPreprocess(dataPreprocess):
def __init__(self,
use_clean=False,
**kwargs):
dataPreprocess.__init__(self, **kwar... |
from django.contrib import admin
from riot.models import Places, Profile, RiotPronePlaces, NowRioting
# Register your models here.
admin.site.register(RiotPronePlaces)
admin.site.register(NowRioting)
admin.site.register(Profile)
admin.site.register(Places)
|
from opencv.cv import *
from opencv.highgui import *
import time
import sys
counter = 0
size = None
def initCamera():
global size
camera = cvCreateCameraCapture(1)
if not camera:
print "Could not open webcam!"
sys.ext(1)
cvSetCaptureProperty(camera, CV_CAP_PROP_FRAME_WIDTH, 320)
cvSetCaptureProperty(camera, C... |
#coding:utf-8
#!/usr/bin/env python
from gclib.object import object
from game.utility.config import config
class almanac(object):
def __init__(self):
"""
构造函数
"""
object.__init__(self)
self.card = set()
self.equipment = set()
self.skill = set()
self.combine = []
self.user = None
return
... |
from keras.datasets import cifar10
from keras.utils import np_utils
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Conv2D, MaxPooling2D
from keras.optimizers import SGD, Adam, RMSprop
import matplotlib.pyplot as plt
#CIFAR10은... |
from django.urls import path, include
from . import views
urlpatterns = [
path('mapa', views.mapa, name='mapa'),
path('lugarocupado', views.lugarocupado, name='lugarocupado'),
path('propina', views.propina, name='propina'),
path('calificar', views.calificar, name='calificar'),
]
|
import time
import numpy as np
from util import get_data, np_loader
if __name__ == "__main__":
root = "data"
num = 1000000
path_list, label_list, num_to_cat = get_data(root)
print("Total images :", len(path_list))
mean = 0.0
var = 0.0
n = min(len(path_list), num) # Go through the wh... |
def nume_persoane(x):
return str(x)
def nume_persoana(y):
return str(y)
bucla = 1
bucla2 = 1
print("Buna ziua")
salut = input()
print("Bine ati venit in agenda telefonica calculatorului")
agenda_telefonica = {"Sebi" : 770421464, "Balau" : 748113188, "Bianca" : 768152514,
"Crisan" : 7242481... |
import unittest
import os
import sys
from scholarly import scholarly, ProxyGenerator
from scholarly.publication_parser import PublicationParser
import random
import json
from contextlib import contextmanager
class TestLuminati(unittest.TestCase):
skipUnless = os.getenv("USERNAME") and os.getenv("PASSWORD") and os... |
from django.contrib import admin
from orders.models import Order
from django.contrib.auth.admin import User
from .models import *
class SystemoptionsAdmin (admin.ModelAdmin):
list_display = ["id", "email_send", "get_email_pool", "phone_send", "get_phone_pool", "email_from"]
list_editable = ["email_send", "ph... |
print("hello tests")
|
import sys
import compilador.helpers.file_parser
from compilador.helpers.file_parser import *
import compilador.vm.virtual_machine
from compilador.vm.virtual_machine import *
import game_engine.engine
from game_engine.engine import *
# CLASE EXECUTER
# Comunicación entre parser, vm y juego
class Executer(object):
... |
import os
#from google.appengine.api import memcache
from google.appengine.api import users
#from google.appengine.ext import db
from google.appengine.ext.webapp import template
#import src.accounts as accounts
#from app.model.account import Account
from app.model.accounts import Accounts
# Tools
# -----
class Cont... |
from flask import *
app = Flask(__name__)
@app.route('/')
def index():
return render_template("index.html")
@app.route('/aaaa', methods=["POST"])
def res_json():
return jsonify(
{
"XXXXXXXX": "YYYYYYYYYYYYYYYYYYY"
}
)
if __name__ == '__main__':
app.run(debug=True, hos... |
import sys
from datetime import datetime
from bs4 import BeautifulSoup
import numpy
import pandas as pd
import requests
import backtrader as bt
import pprint
from dateutil import relativedelta
# https://stackoverflow.com/questions/21806496/pandas-seems-to-ignore-first-column-name-when-reading-tab-delimited-data-giv... |
from django.contrib import admin
from .models import Parliament1
# Register your models here.
admin.site.register(Parliament1)
|
# -*- coding: utf-8 -*-
import random
from dataPreprocess import dataPreprocess
from public_functions import *
__author__ = 'benywon'
class insuranceQAPreprocess(dataPreprocess):
def __init__(self,
neg_low=15,
neg_high=30,
Max_length=50,
**kwar... |
# This program is free software; you can redistribute it and/or modify it under
# the terms of the GNU General Public License as published by the Free Software
# Foundation; either version 2 of the License, or (at your option) any later
# version.
# This program is distributed in the hope that it will be useful, but W... |
# Imports
import numpy as np
import cv2
import dlib
from scipy.spatial import distance as dist
from scipy.spatial import ConvexHull
def eye_size(eye):
eyeWidth = dist.euclidean(eye[0], eye[3])
hull = ConvexHull(eye)
eyeCenter = np.mean(eye[hull.vertices, :], axis=0)
eyeCenter = eyeCenter.astype(int)
... |
#
# Assignment 6
#
# Student Name : Aausuman Deep
# Student Number : 119220605
#
# Assignment Creation Date : March 7, 2020
from nltk.corpus import gutenberg as g
from nltk.stem.porter import *
def analyze(book_name):
# This function analyzes the 'book_name' file and prints out its characteristics using nltk pack... |
i=1
s=0
even_s=0
odd_s=0
sevn_s=0
while i<=100:
s+=i
if(i%2==0):
even_s+=i
else:
odd_s+=i
if(i%7==0):
sevn_s+=i;
i+=1
print("1부터 100까지의 합 = ",s)
print("1부터 100까지의 짝수의 합 = ",even_s)
print("1부터 100까지의 홀수의 합 = ",odd_s)
print("1부터 100까지의 7의 배수의 합 = ",sevn_s)
... |
from django import forms
class StarterForm(forms.Form):
METHOD_OPTIONS = (("", "Please select one"), ("0", "Harris Corner Detection"))
image = forms.ImageField(required=True)
method = forms.ChoiceField(choices=METHOD_OPTIONS, required=True)
custom_name = forms.CharField(max_length=50, required=False, ... |
#!/usr/bin/env python
import sys
from graph import Graph, Vertex
"""
Implementation of the Word Ladder Algorithm
using Breadth First Search on a Graph.
"""
def buildGraph(g):
d = {}
with open("words.txt") as file:
for word in file:
word = word.replace("\n", "")
for i in rang... |
# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from pants.backend.scala.dependency_inference.symbol_mapper import AllScalaTargets
from pants.backend.scala.subsystems.scala import ScalaSubsystem
from pants.backend.scala.util_rules.versio... |
'''
Created on 2016.6.14
@author: huke
'''
def combine(num2,max2,max):
i = num2
j = max-1
for x in range(max2,i):
if max2 >1:
combine(i-1,max2-1,max);
else:
for y in range(0,max-1):
print(max)
print('\n')
if __name__ == '__main__':
... |
import json
import re
import requests
from bs4 import BeautifulSoup as bs
from bs4.element import Comment
import os
import asyncio
import logging
# Write to a json file
def write_to_file(filename, data):
with open(os.getcwd() +f"/service_workers/data/{filename}.json", 'w') as fp:
json.dump(data, fp)
# C... |
def decompose_single_strand(single_strand):
output = ''
for frame in range(3):
output+='Frame {}: {} '.format(frame+1, single_strand[:frame]).strip()
for i in range(frame,len(single_strand),3):
output+=' {}'.format(single_strand[i:i+3])
output+='\n'
return output[:-1]
... |
import sys
import time
import subprocess
import Jetson.GPIO as GPIO
from .controll_sys import LedBlink
class PowerListener(object):
"""docstring for PowerListener"""
def __init__(self, handler, pin_type, input_pin):
super(PowerListener, self).__init__()
self.__handler = handler
self.__input_pin = input_pin... |
operand1 = 95
operand2 = 64.5
#operations
print operand1 + operand2
print operand1 - operand2
print operand1 * operand2
print operand1 / operand2
print operand1 % operand2
#This method is useful because you dont need to rewrite the numbers,
#you just change the variables and the result will automaticly appear.
|
#!/usr/bin/env python
import random
import string
import os
import os.path
def gen_random(str_len):
return ''.join(random.choice(string.hexdigits) for x in range(str_len))
def main():
# Don't need to create config folder if env vars are already set
if os.getenv('API_SECRET_KEY', None) and os.getenv('DATABASE... |
from main.activity.desktop_v3.activity_login import *
from main.activity.desktop_v3.activity_logout import *
from main.activity.desktop_v3.activity_myshop_editor import *
from utils.lib.user_data import *
from utils.function.setup import *
import unittest
class TestEditMyshopInfo(unittest.TestCase):
_site = "live... |
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