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#!/usr/bin/env python3
# Copyright (c) 2011, the Dart project authors. Please see the AUTHORS file
# for details. All rights reserved. Use of this source code is governed by a
# BSD-style license that can be found in the LICENSE file.
'''
This script finds all HTML pages in a folder and downloads all images, replacing... |
#str 타입 csv으로 변경
csv_values = """
이름, 연락처, 나이, 이메일
철수, "010-1234-4567", 23, "chulsu@gmail.com"
영희, "010-1234-2345", 30, "234@naver.com"
"""
#첫과 마지막 줄을 지워죠.
csv_values = csv_values.strip('\n')
#스티링
csv_list = csv_values.split('\n')
print(csv_list)
# key 값 리스트 만들기
keys = []
for el in csv_list[0].split(','):
key... |
import api.helpers.endpoint_checks as endpoint_checks
from seat.models.token import Token
from django.http import HttpResponseServerError, JsonResponse
def validate_token_success_json_model(exam_id):
return JsonResponse({
'success' : True,
'error' : False,
'exam_id': exam_id
})
def va... |
from __future__ import unicode_literals
from django.conf import settings
from django.contrib.auth.models import User
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.core.urlresolvers import reverse
from django.db.models.signals impo... |
from rdflib.namespace import RDF
from source.utils import id2uri, g_add_with_valid
import json
import csv
import glob
def create_ttl(g, u, row):
"""
name: AP-1 transcription factor network
pwacc: Pathway Interaction Database:ap1_pathway
pwtype: organism_specific
category: pathway
url: http://pi... |
"""
John Eslick, Carnegie Mellon University, 2013
See LICENSE.md for license and copyright details.
"""
import os
from PyQt5 import uic
mypath = os.path.dirname(__file__)
_optMessageWindowUI, _optMessageWindow = \
uic.loadUiType(os.path.join(mypath, "optMessageWindow_UI.ui"))
class optMessageWindow(_optMessag... |
from sqlalchemy import Column, Integer, String, Text, DateTime, Float, Boolean, PickleType
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Member(Base):
__tablename__ = 'member'
id = Column(Integer, primary_key=True, nullable=False)
name = Column(String(100), nullab... |
#!/usr/bin/python3
# Copyright (C) 2019 Aleksa Sarai <cyphar@cyphar.com>
# Licensed under MIT.
import requests
STORE_URL = lambda key: "https://store.ncss.cloud/%s" % (key,)
def fetch(key):
resp = requests.get(STORE_URL(key))
if not resp.ok:
raise KeyError("key not present in store")
return resp.json()
def sto... |
print("""
Short Tutorial on Dictionaries
------------------------------
Dictionaries are a poor man's object, akin to structs in other
languages. Think of them like arrays (or lists), except instead
of each element having an index that defines its position in the
array, each element is defined and accessed by a k... |
# -*- coding: utf-8 -*-
from typing import List
class Solution:
def countGoodRectangles(self, rectangles: List[List[int]]) -> int:
max_square_side_length, result = float("-inf"), 0
for length, width in rectangles:
square_side_length = min(length, width)
if square_side_leng... |
def test(n):
for i in range(1, n, 2):
if n == i*(i + 2):
return True
return False
for j in range(0, 1000):
a = (4*(j**3)) - (3*j)
if test(a) == True:
print(j)
'''
j = 0
while(1):
a = (4*(j**3)) - (3*j)
if test(a) == True:
print(j)
j = j + 1
'''
|
# # Print out list of students.
students = [
{'first_name': 'Michael', 'last_name' : 'Jordan'},
{'first_name' : 'John', 'last_name' : 'Rosales'},
{'first_name' : 'Mark', 'last_name' : 'Guillen'},
{'first_name' : 'KB', 'last_name' : 'Tonel'}
]
def classroom(dict):
for item in range(0, len(dict)):... |
#!/usr/bin/env python
# Copyright (C) 2015 Dmitry Rodionov
# This software may be modified and distributed under the terms
# of the MIT license. See the LICENSE file for details.
from ..dtrace.apicalls import apicalls
import inspect
from sets import Set
from os import sys, path
def choose_package_class(file_type, fi... |
from testutil import *
import numpy as np
import smat # want module name too
from smat import *
import timeit
import os,os.path
import matplotlib
matplotlib.use('Agg') # off-screen rendering
import matplotlib.pyplot as plt
#######################################################################
def _apply_unary... |
import math
import matplotlib.pyplot as plt
import numpy as np
from scipy import integrate
def EulerIntegrator(h, y0, f):
"""
Делает один шаг методом Эйлера.
y0 - начальное значение решения в момент времени t=0,
h - шаг по времения,
f(y) - правая часть дифференциального уравнения.
Возвращает ... |
from flask import flask
app= Flask()
@app.route('/')
def index():
return "Home Page"
@app.route('/page2')
def hello():
return "Welcome to page 2"
@app.route('/user/<username>')
def show_user_profile(username):
return 'Hey there %s' % username
@app.route('/post/<int:post_id>')
def show_post(post_id):
r... |
class ConfigParser():
content = ''
config_dict = {}
def _parse(self):
self.content = self.content.replace('\r', '')
content = self.content
lines = content.split('\n')
for line in lines:
if line.startswith('#'):
continue
if line.starts... |
import os
print(__file__)
abspath=os.path.abspath(__file__)
print(abspath)
dir_path=os.path.dirname(abspath)
print(dir_path)
file_path=dir_path+"\sample.html"
print(file_path)
print(os.path.join(dir_path,"sample.html"))
|
import sqlite3
conn = sqlite3.connect('RRTS_DB.db')
class __ResidentsSchema:
def __init__(self):
self.curs = conn.cursor()
conn.execute('''
CREATE TABLE IF NOT EXISTS "Complaints" (
"complaintId" INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,
"roadLocation" TEXT NOT NULL... |
# -*- coding: utf-8 -*-
# filename: Console.py
import profile
import sys
def run(coroutine):
try:
coroutine.send(None)
except StopIteration as e:
return e.value
while True:
print ('input :')
value = sys.stdin.readline()
print(value) |
from Tkinter import *
import time
#import dbi, odbc
from socket import *
bits = 0 # 0 = 8 bits, 1 = 12 bits
# xxx [] = [ {8bits}, {12 bits}]
one_g = [40,624]
num_loop = 5000
max_value = one_g[bits]*2
min_value = one_g[bits]*2*(-1)
shift = [170,2800]
def show2(self):
print "2"
def TestConn(self):
#import m... |
"""django_informixdb: Django Informix database driver"""
from .version import VERSION
|
from __future__ import absolute_import
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from models.basic_conv import BasicGraphConv
from models.graph_atrous_conv import GraphConv
from models.enc_dec import Enc_Dec
from models.graph.h36m_graph import AdjMatrixGraph
from models.g... |
class BankAccount:
NEXT_ACC_NUMBER = 1
def __init__(self):
self.cash = 0.0
BankAccount.NEXT_ACC_NUMBER += 1
def deposit_cash(self, amount):
if not isinstance(amount, float) and amount <= 0.0:
raise ValueError("Deposit can't be negative!")
self.cash += amount
... |
import pandas as pd
import numpy as np
import talib as ta
import tushare as ts
import matplotlib.pyplot as plt
def BBANDS(ts_code,timeperiod=14,k=0.5):
dw = ts.get_k_data(ts_code)
dw = dw[10:]
dw.index = range(len(dw))
dw['upper'], dw['middle'], dw['lower'] = ta.BBANDS(
dw.... |
from ..actions.session import init_session, get_session_analysis, get_session_analysis_deprecated
from ..actions.elo import get_player_info
FUNCTION_PER_COMMAND = {
'faceit_elo': get_player_info,
# TODO: Replace this with get_session_analysis when FACEIT API gets FIXED
'faceit_session': get_session_anal... |
""" Testing brain segmentation module
"""
import numpy as np
from numpy.testing import (assert_almost_equal,
assert_array_equal)
from nose.tools import (assert_true, assert_false, assert_raises,
assert_equal, assert_not_equal)
from ..brain_segmentation import brain... |
from flask import Flask, request
from flask_cors import CORS, cross_origin
from flask_restful import Resource, Api
from json import dumps
from flask_jsonpify import jsonify
import psycopg2
import jinja2
app = Flask(__name__)
api = Api(app)
CORS(app)
def initDB():
conn_string = "host='ec2-54-83-50-145.compute-1.am... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 13 17:01:32 2019
@author: thomas
"""
#In this script, we will be using the expansion and compression displacement
# data created by PRQuantitative.py
#We will attempt to find a fit for the data SSL and LSL
#The fit will be based on 3 parameters: Re... |
#!/usr/bin/python
def displayPathtoPrincess(n,grid):
if grid[0][0] == 'p' or grid[0][0] == 'P' :
dir1 = "LEFT"
dir2 = "UP"
elif grid[n-1][n-1] == 'p' or grid[n-1][n-1] == 'P' :
dir1 = "RIGHT"
dir2 = "DOWN"
elif grid[n-1][0] == 'p' or grid[n-1][0] == 'P' :
dir... |
from __future__ import (absolute_import, division, print_function, unicode_literals)
import copy
import numpy as np
class CommunityDetector(object):
def __init__(self, adj_dict):
"""
adj_dict is an adjacency list of node: neighbors.
make sure adj_dict has no duplicates.
num_stubs =... |
import requests
import re
import time
from multiprocessing import Pool
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36'
}
def re_scraper(url):
res = requests.get(url,headers=headers)
ids =re.findall('<h2>(.... |
from plotter import plotter
import sys
from Jsonreader import Jsonreader
from Csvreader import Csvreader
def plotWithGroups(plotting,apartmentdict, xaxis, yaxis, group, IsGroupBuildingdict, selectbypair ):
listx=[]
listy=[]
listz=[]
for a in apartmentdict:
ap = apartmentdict[a]
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import logging
from common.desired_caps import appium_desired
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from common.common_fun import Commom
class Log... |
import glob, os, pexpect, pytest, sys, time
from forge.tests.common import mktree, defuzz, match
from forge.tasks import sh
DIR = os.path.dirname(__file__)
SPECS = [os.path.relpath(n, DIR) for n in glob.glob(os.path.join(DIR, "*/*.spec"))] + \
[os.path.relpath(n, DIR) for n in glob.glob(os.path.join(DIR, "*.s... |
#--encoding: utf-8 --
import scipy as sp
class Lattice(object):
"""Grid of dipoles with nearest-neighbour interactions
2D grid of dipoles which can either point up or down. Every pair of
anti-parallel neighbours adds one unit of energy. On every simulation step,
the lattice evolves by always minimizin... |
import requests
import os
from twilio.rest import Client
STOCK_NAME = "TSLA"
COMPANY_NAME = "Tesla Inc"
STOCK_ENDPOINT = "https://www.alphavantage.co/query"
NEWS_ENDPOINT = "https://newsapi.org/v2/everything"
STOCK_API_KEY = os.environ.get("STOCK_API_KEY")
NEWS_API_KEY = os.environ.get("NEWS_API_KEY")
SMS_API_KEY ... |
from govr.test_runner import TestRunner
def coverage_report(weights):
report = [
"============================================================",
" GOVRAGE REPORT ",
"============================================================"
]
report.extend(["[ %s ] -> [ %s%% ]"... |
"""
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 stdp_ltp(dt, a=1.0, tc=20):
""" Long-term Potentiation """
return a * np.exp(-dt / tc)
def stdp_ltd(dt, a=-1.0, tc=20):
""... |
import dash_bootstrap_components as dbc
list_group = dbc.ListGroup(
[
dbc.ListGroupItem("Item 1"),
dbc.ListGroupItem("Item 2"),
dbc.ListGroupItem("Item 3"),
]
)
|
def number_of_occurrences(element, sample):
return sample.count(element)
'''
Write a functionthat returns the number of occurrences of an element in an array.
Examples
sample = [0, 1, 2, 2, 3]
number_of_occurrences(0, sample) == 1
number_of_occurrences(4, sample) == 0
number_of_occurrences(2, sample) == 2
number_... |
import os
def clear(archiveDir):
print("CLEARING ARCHIVE")
for filename in os.listdir(archiveDir):
os.remove(archiveDir + "/" + filename)
print(" -- Deleted " + filename)
|
# -*- coding: utf-8 -*-
{
'name': "EHCS Login Captcha",
'summary': """
Add reCAPTCHA in your login page.""",
'description': """
CAPTCHA stands for Completely Automated Public Turing Test to Tell Computers and Humans Apart.
It's goal is to check if a user is a real person or a bot.
... |
# '##::::'##::::'###::::'##::: ##:'####:'########:'##:::'##:'##::::'##:'##::: ##:'########:'##::::'##:
# ##:::: ##:::'## ##::: ###:: ##:. ##::... ##..::. ##:'##:: ###::'###: ###:: ##: ##.....:: ###::'###:
# ##:::: ##::'##:. ##:: ####: ##:: ##::::: ##:::::. ####::: ####'####: ####: ##: ##::::::: ####'####:
# ##:::: #... |
from pyramid.config import Configurator
from pyramid.authentication import AuthTktAuthenticationPolicy
from pyramid.authorization import ACLAuthorizationPolicy
from pyramid.exceptions import NotFound
from frontend_manager.py.utils.security import groupfinder, RootFactory
from shared.BaseConfig import BaseConfig
from s... |
# -*- coding: utf-8 -*-
from app.models.meta import metadata, Base
from app.models.users import User
from app.utils import Enum
from sqlalchemy import Table, Column, Integer, String, ForeignKey, DateTime
from sqlalchemy.orm import mapper, relationship
import datetime
import web
results_table = Table(
"... |
from django.db import models
from django.urls import reverse
# from django.utils.text import slugify
# Create your models here.
class Posts(models.Model):
user = models.ForeignKey('auth.User', on_delete=models.CASCADE)
title = models.CharField(max_length=50)
content = models.TextField()
def publish(s... |
import sys
import os
import glob
from distutils.core import setup
setup(
name="experiments",
version='0.1',
description='Python numerical experiments engine',
author='Tigran Saluev',
author_email='tigran.saluev(at)gmail.com',
url='http://github.com/Saluev/python-experiments',
packages = ['e... |
import PagePost
import RandomMeme
import time
import syslog
actual_meme = 1
folder = "/home/marisa/Programas/AutismBot/"
meme = RandomMeme.Conscious_Meme(folder)
minutes = 30
ver = "AutismBot v1.3"
seconds = minutes * 60
syslog.openlog('AutismBot')
syslog.syslog("Bot iniciado")
while True:
try:
meme ... |
import json
from unittest import TestCase
from unittest.mock import patch
from app.adapter import PokemonsRequest
from tests.fixtures.mocks import API_MOCK_RESPONSE
from app import app
class ServiceTestCase(TestCase):
def setUp(self):
self.app = app
self.app_context = self.app.app_context()
... |
import youtube_dl
import variables as var
def get_playlist_info(url, start_index=0, user=""):
items = []
ydl_opts = {
'extract_flat': 'in_playlist'
}
with youtube_dl.YoutubeDL(ydl_opts) as ydl:
attempts = var.config.getint('bot', 'download_attempts', fallback=2)
for i in range(... |
from utility import generate_data, average
from linear import linear_sort, linear_inline_sort
from time import time
times = []
num_tests = 1000000
for i in range(num_tests):
set = generate_data(5)
end_index = len(set) - 1
start = time()
# linear_inline_sort(set, 0, end_index)
linear_sort(set)
... |
## Pre-processing and library importing.
import csv
import cv2
import matplotlib.image as mpimg
import numpy as np
import os
import tensorflow as tf
current_dir = os.getcwd()
lines = []
from keras.preprocessing import image
from keras.models import Model
from keras.layers import Dense, GlobalAveragePooling2D, Dropout... |
from django.urls import path, re_path
from .views import (
Dashboard,
DashboardPrint,
# InputUndss,
InputUndssView,
InputMasterIncidentView,
# ImportDataView,
UndssDetailView,
MasterIncidentDetailView,
get_district,
get_area_city,
get_incident_subtype,
load_district,
... |
# Generated by Django 3.2.8 on 2021-10-28 06:58
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('chatbot', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='intentsamples',
name='product_ref',
... |
import unittest
import os
import json
import time
from six.moves import urllib
from click.testing import CliRunner
import unfurl.configurators # python2.7 workaround
import unfurl.configurators.shell # python2.7 workaround
import unfurl.configurators.supervisor # python2.7 workaround
from unfurl.yamlmanifest import... |
import asyncio
import os
import unittest
from urllib.error import URLError
from aiohttp import ClientConnectorError
from integration_tests.env_variable_names import SLACK_SDK_TEST_BOT_TOKEN
from integration_tests.helpers import async_test
from slack import WebClient
class TestWebClient(unittest.TestCase):
def ... |
#1
import math
a = int(input("enter a "))
b = int(input("enter b "))
c = int(input("enter c "))
D = b**2 - 4 * a * c
print(D)
if D < 0:
print("The result is a complex value")
elif D == 0:
x = -b / 2 * a
else:
x1 = ((-b + math.sqrt(D)) / (2 * a))
x2 = ((-b - math.sqrt(D)) / (2 * a))
... |
'''Common dataclasses'''
from datetime import datetime
class NewsArticle:
headline: str
publish_on: datetime
content: str
|
import sys
from lib.intcode import Machine
if len(sys.argv) == 1 or sys.argv[1] == '-v':
print('Input filename:')
f=str(sys.stdin.readline()).strip()
else: f = sys.argv[1]
verbose = sys.argv[-1] == '-v'
for l in open(f):
mreset = [int(x) for x in l.strip().split(',')]
class SpringDroid:
def __init__(self... |
""""
Tarea # 1: Tarea1
##COMENTARIO
integrantes:
Almaraz Garcia Iori Alejandro(AGIA)
Carrillo Medina Alexis Adrian(CMAA)
Nombre del programa: Tarea1
"""
# ----- seccion de bibliotecas .
import numpy as np
import matplotlib.pylab as plt
# -----
#-------------------------------------------------------------------... |
import matplotlib.pyplot as plt
import numpy as np
from sklearn.datasets import fetch_mldata
from chainer import cuda, Variable, FunctionSet, optimizers
import chainer.functions as F
from xlwings import xrange
plt.style.use('ggplot')
batchsize = 100
n_epoch = 20
n_units = 1000
# MNISTの手書き数字データのダウンロード
# #HOME/scikit... |
from django.db import models
# Create your models here.
class Eleicao (models.Model):
local = models.CharField(max_length=20)
dataInicio = models.DateTimeField(blank=False, null=False)
dataFim = models.DateTimeField(blank=False, null=False)
class Token (models.Model):
codigo = models.CharField(m... |
import tensorflow as tf
import tensorflow_compression as tfc
import functions
def one_step_rnn(tensor, state_c, state_h, Height, Width, num_filters, scale, kernal, act):
tensor = tf.expand_dims(tensor, axis=1)
cell = functions.ConvLSTMCell(shape=[Height // scale, Width // scale], activation=act,
... |
from office365.sharepoint.base_entity import BaseEntity
class EventReceiverDefinition(BaseEntity):
pass
|
import socket
def recv_msg(udp_socket_recv):
"""接收消息"""
recv_data = udp_socket.recvfrom(1024)
print("%s:%s" % (str(recv_data[1]),recv_data[0].decode("utf-8")))
def main():
"""client_recv用于实现用户端对服务端的全时监听"""
udp_socket_recv = socket.socket(socket.AF_INET,socket.SOCK_DGRAM)
#绑定信息
udp_socket_recv.bind(("",7788)... |
print('hello world')
#import pandas as pd
a=1223567 |
# Questão 2 - Lista Telefônica Econômica
n = int(input())
lista_tel = []
#n = 3
#lista_tel = [[5,3,5,4,5,6],[5,3,5,4,8,8],[8,3,5,4,5,6]]
#n = 2
#lista_tel = [[1,2,3,4,5],[1,2,3,5,4]]
max = 0
# leitura da lista
for i in range(n):
num = list(input())
lista_tel.append(num)
# procurar a linha com maior numero econ... |
from tkinter import *
from PIL import Image,ImageTk
class Window(Frame):
def __init__(self,master=None):
Frame.__init__(self,master)
self.master = master
self.init_window()
def init_window(self):
self.master.title("Hello Tkinter")
self.pack(fill=BOTH,expand=1)
... |
#insertion, deletion or substitution
global words
def edit_distance(s1,s2):
m=len(s1)+1
n=len(s2)+1
tbl = {}
for i in range(m): tbl[i,0]=i
for j in range(n): tbl[0,j]=j
for i in range(1, m):
for j in range(1, n):
cost = 0 if s1[i-1] == s2[j-1] else 1
tbl[i,j] =... |
#!/usr/bin/env python
from __future__ import print_function
import fastjet as fj
import fjcontrib
import fjext
import tqdm
import argparse
import os
import numpy as np
import array
import copy
import random
import uproot
import pandas as pd
from pyjetty.mputils import logbins
from pyjetty.mputils import MPBase
from... |
#coding=utf-8
__author__ = 'shifx'
from django.views.decorators.csrf import csrf_exempt #用于处理post请求出现的错误
from research_report.models import ReportUser
from django.shortcuts import render_to_response
from research_report.thread import ThreadControl
#主页面
def report_main(request):
# ProbTotals.objects.all().delet... |
class Solution(object):
def cloneGraph(self, node):
def dfs(node):
if node in map: return map[node]
clone = Node(node.val, [])
map[node] = clone
for nei in node.neighbors:
clone.neighbors.append(dfs(nei))
return clone
... |
#
# (C) Copyright 2012 Enthought, Inc., Austin, TX
# All right reserved.
#
# This file is open source software distributed according to the terms in
# LICENSE.txt
#
import threading
from traits.api import HasTraits, Bool, Int, Str, Enum, Tuple, Set, Instance, Property
from .animated_context import AbstractAnimatedCo... |
from PyQt5 import QtCore, QtGui, QtWidgets#, QtWidgets.QFileDialog
#from PyQt5 import *#.QtWidgets import QFileDialog
#from PyQt5.QtWidgets import QMainWindow, QApplication, QWidget, QInputDialog, QLineEdit, QFileDialog
#from PyQt5 import QtCore, QtGui, QtWidgets
import pyodbc
import sys, os
import copy
import datetime... |
Battle = int(input("대결 횟수 : "))
count = 0
round = 1
while count < Battle:
Ulist = [] #["Busan","Seoul","Ewha"]
Dlist = [] #[100,400,300] => max(Dlist) => Dlist.index(400)
uni_input = int(input("%s회차 비교 학교 수 : "%round))
while uni_input > 0:
name = input("대학이름 : ")
drink = int(inp... |
from script.base_api.service_identity.versionInfo import *
|
from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from utils.AverageMeter import AverageMeter
from utils.criterion import *
import warnings
warnings.filterwarnings('ignore')
#######################################################################... |
import pygame
import sys
import random
from pygame.locals import *
clock = pygame.time.Clock()
pygame.init()
pygame.font.init()
myfont = pygame.font.SysFont('Comic Sans MS', 14)
WINDOW_SIZE = (896, 560)
pygame.display.set_caption('Platformer')
screen = pygame.display.set_mode(WINDOW_SIZE, 0, 32)
display = pygame.Surfa... |
class Vehicle:
def __init__(self,name,color):
self.__name=name
self.__color=color
def getColor(self):
return self.__color
def setColor(self,color):
self.__color=color
def getName(self):
return self.__name
class Car(Vehicle):
def __init__(sel... |
#!/usr/bin/env /data/mta/Script/Python3.8/envs/ska3-shiny/bin/python
#####################################################################################
# #
# print_html_page.py update/create html page related acis does plots ... |
# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
import logging
from dataclasses import dataclass
from typing import Iterable
from pants.backend.python.goals import lockfile
from pants.backend.python.... |
# Copyright 2014 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompa... |
"""Script that extracts,crops and stores images in black and white in a new folder using OpenCVs Deep Neural
Network (Pre-trained for face Detection).
Script is adapted from several sources, with parts taken from each of the following:
1. van Gent, P. (2016). Emotion Recognition With Python, OpenCV and a Face Dataset.
... |
import numpy as np
from scipy.stats import norm
def simple_co_model(hi, fir, w_co,
offset_centre=0., offset_scale=0.5,
x_co_centre=2., x_co_scale=0.5):
def lnlike(p):
theta, offset, x_co, stddev = p
# N = len(hi)
# diff = (fir - np.tan(theta) * (hi... |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from scipy import stats
from ast import literal_eval
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.metrics.pairwise import linear_kernel, cosine_similarity
from nltk.stem.snowball imp... |
#!/usr/bin/env python3
from sys import argv
"""
Version 3: as fast as version 2
(it now uses list comprehensions to store
all palindromes in a tuple and count occurrences).
Finds palindromes greater than X characters.
It also prints:
- the size of the longest palindrome
- the size of the s... |
import os
import optparse
import time
from threading import Timer
import requests
import chardet
from BeautifulSoup import BeautifulSoup
class Crawler(object):
def __init__(self, url, outfile):
"""
:param url: url to Crawling
:param outfile: Place output
"""
self.url = url... |
from .pages.product_page import ProductPage
from .pages.login_page import LoginPage
import pytest
from .pages.basket_page import BasketPage
import time
@pytest.mark.user_add_to_basket
class TestUserAddToBasketFromProductPage:
@pytest.fixture(scope="function", autouse=True)
def setup(self, browser):
lo... |
from __future__ import print_function
import torch.utils.data as data
import os
import glob
from PIL import Image
from utils import preprocess
class OurDataset(data.Dataset):
CLASSES = [
"background",
"road",
"side-walk",
"people",
"car",
"building",
"bridg... |
# -*- coding: utf-8 -*-
"""
Created on Fri Mar 18 23:34:37 2016
A 0MQ Client to dispatch messages to other services to get required information
@author: alex
"""
import zmq
import json
class ServiceConnector(object):
def __init__(self, discovery_conn, inbound_connection_info, logging):
#Es... |
# -*- coding: utf-8 -*-
from typing import List
class Solution:
def destCity(self, paths: List[List[str]]) -> str:
starts, ends = set(), set()
for (start, end) in paths:
starts.add(start)
ends.add(end)
return ends.difference(starts).pop()
if __name__ == "__main__... |
import csv
d={'1':'__label__NEUTRAL','0':'__label__NEGATIVE','2':'__label__POSITIVE'}
l=[]
with open('train.csv','rt')as f:
data = csv.reader(f)
for row in data:
l.append(row)
with open('actual_train.txt','a') as f:
for i in range(len(l)):
s=l[i][0]+' '+l[i][1]+'\n'
f.write... |
# -*- coding: utf-8 -*-
from at import interfaces
from zope.schema.vocabulary import SimpleVocabulary
from zope.app.component.hooks import getSite
from zope.app.pagetemplate import ViewPageTemplateFile
vendorImages={"Alfa Romeo":"/media/237459/1.jpg",
"Audi":"/media/237462/2.jpg",
"BMW":"/m... |
'''Write a function bestSum(targetSum, numbers) that takes in a targetSum and an array of numbers as arguments
The function should return an array containing the shortest combination of numbers that add up to exactly the targetSum
If there is any tie for the shortest combination, you may return any one of the shortes... |
"""
Django settings for pympm project.
Generated by 'django-admin startproject' using Django 1.10.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.10/ref/settings/
"""
import os
# ... |
from flask import Flask, json, jsonify ,render_template
from flask import request
import requests
from flask_sqlalchemy import SQLAlchemy
from flask_marshmallow import Marshmallow
order_counter=1
catalog_counter=1
#front end tier will send requests to order server and catalog server
cache_size = 5
id_count = {}
#in... |
# coding: UTF-8
__author__ = 'Steeve'
__version__ = '1.0.0'
import os
import re
import argparse
from beautifultable import BeautifulTable as btft
class GenericAplication():
def __init__(self, arquivo, namearq, display ,binaryfile ,textfile):
self.arquivo = arquivo
self.namearq = namearq
se... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import os
import shutil
DOC_DIR = "."
AMAO_DIR = "../AMAO"
def generate_rst_for_app(app,excludes=None):
"Cria os arquivos .rst para a app em questao usando o sphinx-apidoc"
command_template = "sphinx-apidoc -f -o %(APP_DOC_DIR)s %(APP)s %(EXCLUDES)s"
... |
# Generated by Django 2.2.2 on 2019-07-06 09:32
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('task', '0003_auto_20190619_1247'),
]
operations = [
migrations.AlterField(
model_name='task',
name='contribution',
... |
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