text stringlengths 38 1.54M |
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__author__ = 'Michal'
from string import Template
import subprocess, shutil, logging, os, time, datetime, glob
#interface between generator and the speacilist
#drives the application under test
#be able to drive application videoLAN
#provide several conversion options
#convert a song to a specified format
#convert it... |
#!/usr/bin/env python
"""
.. code:: python
publisher = PubsubPublisher('project_id', 'path/to/sa.json', 'topic_name')
publisher.publish_message('hello')
"""
import logging
from collections import defaultdict
from collections.abc import Mapping
from time import time
from . import QueuePublisher
try:
from... |
import torch.nn as nn
import torch.nn.functional as F
class ResNet(nn.Module):
def __init__(self, channels, layers, same_shape=True):
super(ResNet, self).__init__()
self.resnet = nn.ModuleList([])
self.resnet.append(Residual(channels, same_shape=same_shape))
for it in range(layers-1... |
import numpy as np
import time
class Timer(object):
def __init__(self, name=None):
self.name = name
self.tstart = time.time()
self.tlast = self.tstart
self.firstCall = True
def getElapseTime(self, isStr=True):
totalElapsed = time.time() - self.tstart
# elapsed t... |
import itertools
import pandas as pd
def generateSubset(list_kombinasi):
lhs = []
rhs = []
for el in list_kombinasi:
for i in range (1,len(el)):
comb = list(itertools.combinations(el, i))
for row in comb:
lhs.append(list(row))
rhs.append(list(set(el).difference(row... |
#!/usr/bin/python
# Date: 2018-09-03
#
# Description:
# 1. issubclass(class-1, class-2) -> Checks if class-1 is derived from class-2 or
# in other words is class-2 base class of class-1 or not.
#
# 2. isinstance(object, class-name) -> Checks if object is instance of
# class-name or not.
class base:
pass
cl... |
import random
moves = ['r', 'p', 's']
player_wins = ['pr', 'sp', 'rs']
while True:
player_move = input("your move: ")
if player_move == 'q':
break
computer_move = random.choice(moves)
print ("You: ", player_move)
print ("Me: ", computer_move)
if player_move == computer... |
import tkinter as tk
from tkinter import *
import pytesseract
from PIL import Image, ImageTk
#mainclass
class MainApp(Frame):
def __init__(self):
super().__init__()
self.appGUI()
def appGUI(self):
#title of the gui
self.master.title("Simple Demonstration ... |
import sys
import urllib2
import json
from AppInfo import AppInfo
import abc
class AppCrawler(object):
def __init__(self, appUrl):
self.appUrl = appUrl
self.appInfo = None
@abc.abstractmethod
def crawl(self):
pass
def getAppInfo(self):
if not self.appInfo:
... |
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 18 02:57:09 2019
@author: Ashima
"""
import time
import cv2
import pickle
import pandas as pd
import config
import os
import numpy as np
from skimage.feature import hog
class Data:
def __init__(self):
self.dataX = None
self.dataY = None
self.s... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.CreditPayMoneyVO import CreditPayMoneyVO
class MybankCreditLoantradeGuarletterInvoiceApplyModel(object):
def __init__(self):
self._address = None
self._apply_... |
import numpy as np
import os
from dataset.mnist import load_mnist
from ch5.multi_layer import MultiNet
import matplotlib.pyplot as plt
dataset_dir = os.path.dirname(os.path.abspath('__file__'))
save_file = dataset_dir + "/mnist.pkl"
(x_train, t_train), (x_test, t_test) = load_mnist(dataset_dir, save_file, normalize=T... |
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 9 11:44:04 2017
@author: River
"""
import sys
def print_lol(the_list,level=0,indent=False,fn=sys.stdout):
for each_item in the_list:
if isinstance(each_item,list):
print_lol(each_item,indent,level+1,fn)
else:
if(indent):
... |
from django.db import models
from billing.models import BillingProfile
class Address(models.Model):
billing_profile = models.ForeignKey(BillingProfile, on_delete=models.CASCADE)
first_name = models.CharField(max_length=120)
last_name = models.CharField(max_length=120)
company = models.CharField(max_len... |
# -- Server --
FLASK_HOST = '0.0.0.0'
FLASK_PORT = 8080
ROUTE_PORT_MAPPING = {
8001: '/radare1/',
8002: '/radare2/',
8003: '/radare3/',
8004: '/radare4/',
}
# -- Scheduler --
RADARE_TIMEOUT = 600
RADARE_PORTS = list(ROUTE_PORT_MAPPING.keys())
QUEUE_BLOCK_TIMEOUT = 1
|
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 23 21:05:23 2019
@author: user
"""
from core.preprocessing.tweet_preprocessing import(
preprocess,
translate_to_telugu,
translate_to_english,
telugu_tweet_to_english)
from core.extraction.tweet_extraction import (
twitte... |
import os, glob
import argparse
import numpy as np
import librosa
import soundfile as sf
import torch
# utils
from tqdm import tqdm
from multiprocessing import Pool, cpu_count
# Due to 'PySoundFile failed. Trying audioread instead'
import warnings
warnings.filterwarnings('ignore')
# param
parser = argparse.Argumen... |
import json
from datetime import timedelta
from typing import List, Tuple
from django.db import transaction
from django.db.models import Max, Q
from django.db.models.functions import Greatest
from django.dispatch import receiver
from django.utils.timezone import now
from django.utils.translation import gettext_lazy as... |
## DecisionTreeClassifier for multi-classification
from sklearn import tree
from sklearn.datasets import load_iris
iris = load_iris()
clf = tree.DecisionTreeClassifier()
clf = clf.fit(iris.data, iris.target)
from sklearn.externals.six import StringIO
with open("iris.dot", 'w') as f:
f = tree.export_graphviz(... |
from __future__ import annotations
import logging
import os
from contextlib import suppress
from datetime import date
from pathlib import Path
from . import _types as _t
from ._run_cmd import CompletedProcess as _CompletedProcess
from ._run_cmd import require_command
from ._run_cmd import run as _run
from .git import... |
from django.contrib import admin
from shop.models import *
# registers the models into the admin page
admin.site.register(Game)
admin.site.register(State)
admin.site.register(Score)
admin.site.register(Category)
admin.site.register(GamesCategory)
admin.site.register(Purchase)
|
from django.shortcuts import get_object_or_404, redirect, render
from managementapp import forms
from managementapp.models import Project
from managementapp.utils import setProjectPriority, setProjectDeadline
def projectList(request):
setProjectPriority()
setProjectDeadline()
return render(request, 'cli... |
from fastapi import APIRouter
from fastapi import Depends, status
from blog import schemas, database, oauth2
from blog.repository import blog_repository
from sqlalchemy.orm import Session
from typing import List
router = APIRouter(
prefix='/blog',
tags=['blog']
)
@router.post('/', status_code=status.HTTP_20... |
import json
import os
import sys
import itertools
import random
from urllib.request import urlopen
BASE_URL = os.environ.get('BASE_URL', 'http://localhost:9000')
region_ids = ['little-yoho', 'banff-yoho-kootenay', 'northwest-coastal',
'northwest-inland', 'sea-to-sky', 'south-coast-inland', 'south-coast',
... |
# RECUERDEN NO IGNORAR ESTE ARCHIVO, O NO LES PODREMOS CORREGIR.
POPULARIDAD_MINIMA_DELEGACION = 0
PROBABILIDAD_ACCIDENTARSE_GIMNASIA = 0.3
# COMPLETAR...
INICIADOR_LOOP = True
NIVEL_IMPLEMENTOS = 0
MORAL_MINIMA = 20
DIAS_COMPETENCIA = 6
#### ENTRENAR ####
COSTO_ENTRENAR = 30
PUNTOS_ENTRENAMIENTO = 12
BONIFICACION_IE... |
from common import create_directory
from data_source import get_labelled_tweets
import timeit
def get_dataset_time(time, repetitions):
"""
time to predict the full dataset
"""
svm_time_dataset = time / repetitions
return svm_time_dataset
def get_record_time(time, num_tweets):
"""
time to predict 1 rec... |
list_numbers = input('Введите числа через запятую: ').split(',')
integer_nmbrs = list(map(int, list_numbers))
def get_minimal_positive():
min_ = []
for i in integer_nmbrs:
if i + 1 not in integer_nmbrs and i >= 0:
min_.append(i+1)
return min(min_)
elif i <= 0:
... |
from django.db import IntegrityError
from django.contrib.auth.models import Group
from django_odesk.core.clients import DefaultClient
from django_odesk.conf import settings
def get_odesk_permissions(auth_token):
"""
Gets oDesk team roles/permissions for the authenticated user
"""
client = DefaultClien... |
def load_instructions():
with open("./input.txt", "r") as f:
return f.read().splitlines()
def format_instructions(raw_instructions):
res = []
for raw_instruction in raw_instructions:
splits = raw_instruction.split(" ")
operation = splits[0]
argument = int(splits[1])
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/9/28 11:59
# @Author : shursulei
# @Site :
# @File : BostonHousePricing.py
# @Software: PyCharm
import numpy as np
from sklearn.datasets import load_boston
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt
boston... |
import copy
class Model:
def __init__(self):
self.turn = 1
self.board = [[False for i in range(8)] for j in range(8)]
self.lastEvent = 0
self.events = []
self.initBoard()
def initBoard(self):
cid = 0
ids = 'abcdefghijklmnopqrstuwxy'
for i in ra... |
import os
import json
import time
import math
import matplotlib.pyplot as plt
from core.data_processor import DataLoader
from core.model import Model
def main():
configs = json.load(open('config.json', 'r'))
if not os.path.exists(configs['model']['save_dir']): os.makedirs(configs['model']['save_dir'])
dat... |
#ordenar una lista por la longitud de sus cadenas
L=["zzz","a","x","23xxx","aaaa""vfg"]
L2=["zzz","a","x","23xxx","aaaa""vfg"]
print ("L:", L)
L.sort()
print ("L.sort: ", L)
print ("\n")
print ("L2:", L2)
L2.sort(key=len)
print ("L2.sort: ", L2)
|
import os
from os.path import join, getsize, expanduser
import re
import fileinput
import numpy as np
import matplotlib.pylab as plt
from scipy.interpolate import UnivariateSpline
from scipy.integrate import quad
from StringIO import StringIO
import pyfits
import scipy
# If you input a light curve, it figures out th... |
from graphviz import Graph, nohtml
from enum import Enum, auto, Flag
from math import sqrt
from sys import argv
class NodeType(Enum):
START = auto()
ROUTER = auto()
END = auto()
class Direction(Flag):
UPSTREAM = auto()
DOWNSTREAM = auto()
ROOT = UPSTREAM | DOWNSTREAM
class Node:
__slots__ = ['nodeType'... |
from rest_framework import serializers
from .models import ServiceModel
class ServiceSerializer(serializers.ModelSerializer):
username = serializers.CharField(source='createBy.username')
class Meta:
model = ServiceModel
fields = '__all__'
class ServiceNameSerializer(serializers.ModelSeriali... |
import streamlit as st
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import statsmodels.formula.api as sm
import altair as alt
from load_data import data_prep_by_school
# pip uninstall protobuf python3-protobuf
# pip install --upgrade pip
# pip install --upgrade protobuf
... |
from k5test import *
realm = K5Realm(create_kdb=False)
realm.run(['./t_stringattr'])
success('String attribute unit tests')
|
import numpy as np
def log_loss(AL, Y):
"""
Computes the logistic loss of our predictions.
"""
m = Y.shape[1]
cost = (- 1 / m) * (np.dot(Y, np.log(AL.T)) +
np.dot(1 - Y, np.log(1 - AL.T)))
# Ensure the single dimension cost value
cost = np.squeeze(cost)
return... |
import luigi
import random
import logging
from logging.config import dictConfig
import yaml
from liker.tasks import LikeLatest, GetFollowers
from liker import credentials_file
logger = logging.getLogger(__name__)
class RandomBatchFromAuthorities(luigi.WrapperTask):
authority_profiles = luigi.Parameter()
cr... |
from pprint import pprint
from collections import OrderedDict
from XwingDataDevTools.normalize.base import SingleDataAnalyticalNormalizer
class OrderNormalizer(SingleDataAnalyticalNormalizer):
def analise(self):
fields = set()
for model in self.data:
fields.update(model.keys())
... |
import mysql.connector
#Create the connection object
myconn = mysql.connector.connect(host = "localhost", user = "root", password = "test", database = "nit_kit")
#printing the connection object
print(myconn)
#creating the cursor object
cur = myconn.cursor()
def insert_item(itemname, itempictu... |
from datetime import datetime
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.support import e... |
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
from ... import serializer as jina__pb2
class JinaDataRequestRPCStub(object):
"... |
# Generated by Django 3.0.1 on 2020-06-07 12:08
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('survey', '0003_uploadsurvey_additionaldetails'),
]
operations = [
migrations.RemoveField(
model_name='uploadsurvey',
name='a... |
"""
This is a proof that intcode is still Turing-complete with only immediate adressing (mode 1) allowed for non-output parameters
"""
from intcode import Machine
mode_pos = 0
mode_imm = 1
mode_rel = 2
DUMMY = 0
def flatten(xss):
return [x for xs in xss for x in xs]
def opcode(op, mode1=0, mode2=0, mode3=0):
... |
from datetime import datetime
from opengever.maintenance.debughelpers import setup_app
from opengever.maintenance.debughelpers import setup_option_parser
from opengever.maintenance.debughelpers import setup_plone
from plone import api
from Products.CMFPlone.CatalogTool import MAX_SORTABLE_TITLE
import logging
import re... |
# -*- coding: utf-8 -*-
import re
import sys
from nltk.stem import WordNetLemmatizer
reload(sys)
sys.setdefaultencoding('utf-8')
import random
import imp
import jsonlines
import io
imp.reload(sys)
res = dict()
def getargvdic(argv):
optd = {}
while argv:
if argv[0][0] == '-':
optd[argv[0]] =argv[1]
argv... |
import tensorflow as tf
import cv2
import numpy as np
from imageio import imread
import base64
import io
class Predictor:
model = "OMR/Config/agnostic_model_homophonic"
model_meta = "OMR/Config/agnostic_model_homophonic.meta"
dictionary_path = "OMR/vocab/agnostic_vocabulary_homophonic.txt"
def __ini... |
from rest_framework import generics
from rest_framework.views import APIView
from .models import Poll, Choice
from .serializers import PollSerializer, ChoiceSerializer, VoteSerializer,UserSerializer
from django.contrib.auth import authenticate
class LoginView(APIView):
permission_classes = ()
def post(self, ... |
import time
from datetime import datetime, timedelta
from decimal import Decimal
from http import HTTPStatus
from logging import getLogger
from typing import Optional
import requests
from django.conf import settings
from requests import Response
from receipt_tracker.lib import ReceiptParams
from receipt_tracker.lib.r... |
from itertools import accumulate
def leastBricks(wall):
asum =[list(accumulate(row)) for row in wall]
nums = {}
for row in asum:
for x in row:
nums[x] = nums.get(x, 0) +1
a = sorted(nums.values(), reverse= True)
return len(wall) -a[1]
wall = [[1,2,2,1],
[3,1,2],
... |
#importing proper libraries
import time
import sys
import os
import subprocess
import telnetlib
#get modules needed to run monkeyrunner
from com.android.monkeyrunner import MonkeyRunner, MonkeyDevice
def telnet_call(number, text):
print "send sms: " + number + " " + text
tn = telnetlib.Telnet("localhost... |
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 4 16:40:50 2021
@author: YOO
"""
# 라이브러리 불러오기
import pandas as pd
import seaborn as sns
# titanic 데이터셋에서 age, sex 등 5개 열을 선택하여 데이터프레임 만들기
titanic = sns.load_dataset('titanic')
df = titanic.loc[:, ['age', 'sex', 'class', 'fare', 'survived']]
# class 열을 기준으로 분할
grouped ... |
from random import randint
values = []
for x in range(6):
value = int(input(f'Enter a number ({x})'))
assert 1 <= value <= 49
assert value not in values
values.append(value)
new_values = []
while True:
if len(new_values) == 6:
break
new_value = randint(1, 49)
if new_value not in n... |
from keras.preprocessing import image
from skimage.color import rgb2gray
from skimage.feature import hog
import tensorflow as tf
import numpy as np
import svm
import os
# Flask
from flask import Flask, redirect, url_for, request, render_template
from werkzeug.utils import secure_filename
# Загрузка приложения
app =... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 22 2020
@author: Carolin Brunn
"""
"""
PLOT SIMULATED MATCHING DATA IN ONE GRID
"""
################################################################################################
"""IMPORT"""
import pandas as pd # for using dataframes
from matp... |
#Definition of inputs and outputs
#==================================
##[Mes scripts GEOL]=group
##strati=vector
##dip_dir=field strati
##dip=field strati
##schisto=vector
##dip_dir2=field schisto
##dip2=field schisto
#Algorithm body
from qgis.core import *
from apsg import *
layer = processing.getObject(strati)
dipd... |
import psycopg2 as ps2
from configparser import ConfigParser
class DataBase:
def __init__(self, db_user, password, host, port, database):
self.db_user = db_user
self.password = password
self.host = host
self.port = port
self.database = database
self.connection = ps2... |
__author__ = 'etseng@pacb.com'
#import fire
from Bio import SeqIO
from cupcake.io.BLASRRecord import BLASRM5Reader
from cupcake.ice.ice_align_core import eval_blasr_alignment, alignment_has_large_nonmatch
#id length is_fl stat pbid
def is_a_hit(r, is_fl, max_missed_qstart=50, max_missed_qend=50, max_mis... |
"""
This file is the main file. The interaction with the recommender service starts here.
"""
__author__ = "Aitor De Blas Granja"
__email__ = "aitor.deblas@ugent.be"
import sugestio
from sugestio import Consumption, Item, User
from numpy import mean, median, unique
import data
import utils
# ACCOUNT = 'sandbox'
# S... |
# -*- coding: utf-8 -*-
# @Time : 2018/6/6 17:01
# @Author : Inkky
# @Email : yingyang_chen@163.com
'''
error vs tpaa,paa
'''
import numpy as np
import matplotlib.pyplot as plt
paa = np.loadtxt('PAAresult/error_paa.txt', delimiter='\n')
bt = np.loadtxt('PAAresult/error_btpaa.txt', delimiter='\n')
s... |
import tempfile
import panda3d.core as p3d
from .cli import convert
from .common import Settings
class BlendLoader:
# Loader metadata
name = 'Blend'
extensions = ['blend']
supports_compressed = False
# Global loader options
global_settings = Settings()
@staticmethod
def load_file(pa... |
#!/usr/bin/env python3
# Copyright 2011 David Coles. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list o... |
from beem import Steem
from beem.blockchain import Blockchain
from beem.nodelist import NodeList
import time
import re
def hour_active(chain):
nodelist = NodeList()
nodelist.update_nodes()
if chain=='steem':
s = Steem(node=nodelist.get_steem_nodes())
else:
... |
# i = 0 #most base loop code
# while i < 10:
# print(i)
# i += 1
# num = 2
# max_num = 120
# while num < max_num: #as long as this true run the While code block!!!
# print(num)
# num += num
# j = 0
# while j < 0: this is an infinite loop will crasht the computer if j
# print(j) ... |
def most_spoken_languages():
languages = ['English', 'Chinese', 'Hindi', 'Spanish', 'French',
'Standard Arabic', 'Bengali', 'Russian', 'Portuguese', 'Indonesian']
print('Ranking Languages Speak: ')
for p, i in enumerate(languages):
print(p+1, i)
def most_world_population():
cou... |
# 可以直接给asyncio传递一些参数去执行
# call_soon # 表示即刻执行，等到队列的下一循环的时刻 比call_later快
# call_later #
# call_cat #指定时间运行
# call_soon_threadsafe 线程安全
import asyncio
# def callback(sleep_times):
# print(f"sleep {sleep_times} success")
def callback(sleep_times, loop):
print(f"sleep {sleep_times} success {loop.time()}")
d... |
import functools
import logging
import time
from concurrent.futures import ThreadPoolExecutor
from datetime import datetime, timedelta
from multiprocessing.pool import ThreadPool
from typing import Union, IO
import pandas as pd
from fuzzy_pandas import fuzzy_merge
FORMAT = "%(asctime)-15s %(clientip)s %(us... |
import webapp2
import os
import jinja2
import datetime
import re
import hashlib
import logging
from google.appengine.ext import db
template_dir = os.path.join(os.path.dirname(__file__), 'templates')
jinja_env = jinja2.Environment(loader = jinja2.FileSystemLoader(template_dir), autoescape = True)
class Handler(webapp... |
"""
Package for mapping strings describing insurance plans into Ribbon Health taxonomy.
This package was built for a 3-week consulting project with Ribbon Health (ribbonhealth.com)
as part of the Insight Data Science program.
Modules:
planmapper.py
Defines PlanComparisonModel class.
A model (i.e. an instance of this c... |
from Tkinter import *
import ttk
import tkFont
root = Tk()
# Make it cover the entire screen
w, h = root.winfo_screenwidth(), root.winfo_screenheight()
root.overrideredirect(1)
root.geometry("%dx%d+0+0" % (w, h))
root.focus_set()
myFont = tkFont.Font(family='Helvetica', size=18, weight='bold')
# Creating labels for... |
s = float(input('Qual é o salário do funcionário ? R$'))
aumento = float(input('Quanto foi o aumento dele em porcentagem ?(apenas número)'))
conta = s * aumento/100
final = s + conta
print('O funcionário que ganhava R${:.2f}, com {:.2f}% de aumento, passará a receber R${:.2f}'.format(s, aumento, final)) |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Assignemnt Week 13 - Flask App"""
from flask import Flask, request, session, g, redirect, url_for, \
abort, render_template, flash
import re
import sqlite3 as lite
from contextlib import closing
DATABASE = 'hw13.db'
DEBUG = True
SECRET_KEY = 'development key'
USER... |
#!/usr/bin/env python3
# -*- coding: ascii -*-
import sys, os, re, inspect
import cgi
import weakref, contextlib
import threading
import websocket_server
try: from Queue import Queue
except ImportError: from queue import Queue
THIS_DIR = os.path.dirname(os.path.abspath(inspect.getfile(lambda: None)))
class Stream:
... |
import torch
import torch.nn as nn
from disent.criterions import MMDWAELoss
from disent.utils import eval_str_list
from . import BaseTask, register_task
@register_task('mmd_wae')
class MMDWAETask(BaseTask):
hparams = ('beta',)
@staticmethod
def add_args(parser):
parser.add_argument('--data-dir',... |
from __future__ import unicode_literals
from django.apps import AppConfig
class MainStreetGymConfig(AppConfig):
name = 'main_street_gym'
|
import os
import sys
from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy import create_engine
# Importing is done
Base = declarative_base()
class User(Base):
__tablename__ = 'user'
id = Colu... |
from functools import reduce
qol = 0
for i in range(int(input())):
qol += reduce(lambda q, y: q*y, [float(_) for _ in input().split(" ")])
print(qol) |
#연결 요소의 개수
#https://www.acmicpc.net/problem/11724
import sys
sys.stdin = open("input.txt","r")
input=sys.stdin.readline
sys.setrecursionlimit(10**8)
def DFS(v):
#v가 시작이 됨
visited[v]=1
for i in range(1,n+1):
#둘다 연결되어 있고 아직 방문안했을 때
if board[v][i]==1 and board[i][v]==1 and visited[i]==0 :
... |
"""
Desafio 068
Problema: Faça um programa que jogue PAR ou ÍMPAR com o computador.
O jogo só será interrompido quando o jogador perder,
mostrando o total de vitórias consecutivas que ele consquistou
no fim do jogo.
Resolução do problema:
"""
from random import randint
print('-' * 30)
pr... |
# -*- coding: utf-8 -*-
"""
Created on Mon May 29 17:06:16 2017
@author: dubey
"""
# -*- coding: utf-8 -*-
"""
Created on Mon May 29 15:58:41 2017
@author: dubey
"""
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib import style
from wordcloud import WordCloud,STOPWORDS
style... |
# Copyright 2018 The TensorFlow 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 appl... |
from numpy import *
from numpy.linalg import *
m_tabela=array(eval(input("valores: ")))
linha=shape(m_tabela)[0]
for i in range(linha):
print(max(m_tabela[i,:]))#dar as saidas dos valores maximos |
from ant_miner import AntMinerSA
def main():
# INPUT: USER-DEFINED PARAMETERS:
no_of_ants = 3000
min_cases_per_rule = 3
max_uncovered_cases = 10
no_rules_converg = 10
# ANT-MINER ALGORITHM: list of rules generator
ant_miner = AntMinerSA(no_of_ants, min_cases_per_rule, max_uncovered_cases... |
from suitebot3.ai.bot_ai import BotAi
from suitebot3.game.game_setup import GameSetup
from suitebot3.game.game_state import GameState
from suitebot3.game.moves import Moves
class SampleBotAi(BotAi):
def __init__(self, game_setup: GameSetup):
''' Called before each new game '''
def make_moves(self, ga... |
from Models.location import Location
class RuralArea(Location):
quantity_ra = 0
def __init__(self, rural_area, types):
self.__class__.quantity_ra += 1
super().__init__(rural_area, types)
def __str__(self):
string = '| {} | {} |'.format(RuralArea.quantity_ra, self.type... |
# ROPGenerator - Cond.py module
# Implements the data structure useful for the representation of a gadget using graph theory
# Provides primitives to extract dependencies from a given graph
from ropgenerator.Expr import ConstExpr, SSAExpr, MEMExpr, Op, SSAReg, Cat, Extr, Convert, strToReg
from ropgenerator.Cond imp... |
import numpy as np
import cv2
# events = [i for i in dir(cv2) if 'EVENT' in i]
# print(events)
def click_event(event, x, y, flags, param):
if event == cv2.EVENT_LBUTTONDOWN:
img[y:y+60,x:x+60] = ball
cv2.imshow('image', img)
img = cv2.imread('10 - messi5.jpg')
ball = img[280:340,330:390]
cv2.ims... |
# -*- coding: utf-8 -*-
import argparse
from lib.io_utils import *
from lib.math_utils import *
from matplotlib import pyplot as plt
import os
import numpy as np
from pprint import pprint
import sys
# input
parser = argparse.ArgumentParser()
parser.add_argument('-in', dest="INPUT_FILE", default="tmp/samples.csv", hel... |
# coidng=utf-8
import unittest, os, time, sys
sys.path.append(os.path.dirname(os.getcwd()))
import HTMLTestRunner
from app.common.sendMail import sendmail
case_path = os.path.join(os.getcwd(), 'case')
report_path = os.path.join(os.getcwd(), 'report')
def all_case():
discover = unittest.defaultTestLoader.discover(ca... |
import math
import rl
import rooms
import actors
import const
import graphics
from graphics import Tile
import monsters
import util
class Level:
def __init__(self, width, height):
self.tiles = rl.Array(width, height)
self.blocked = rl.Array(width, height)
self.visited_tiles = rl.Array(widt... |
# total features = 20620 + 12000 = 32620
# total instances = 1075
import pandas as pd
import numpy as np
import csv
from mlxtend.classifier import EnsembleVoteClassifier
from mlxtend.feature_selection import ColumnSelector
from sklearn.pipeline import make_pipeline
# importing the required classifiers
from sklearn ... |
import warnings
warnings.filterwarnings('ignore')
import numpy as np
import matplotlib.pyplot as plt
from scipy import linalg as lg
from scipy import stats
n = 100
mu = 0
sigma = 0.2
X = np.array(np.random.normal(mu,sigma,size=n))
Y = np.cumsum(X)
Y[0] = 0
Z = np.exp(Y)
sum_z = np.cumsum(Z)
mu_n = sum_z/n
plt.pl... |
#!/usr/bin/python3
import math
f = open('input', 'r')
masses = [int(x) for x in f.readlines()]
f.close()
i = [math.floor(x/3) - 2 for x in masses]
def total_mass(mass):
fuel = math.floor(mass/3) - 2
return mass + (0 if fuel <= 0 else total_mass(fuel))
print("Part 1 answer: {}".format(sum(i)))
print("Part 2 a... |
from flask_restplus import Namespace, Resource, fields
from model._init_ import db
from model.user import User
from model.event import Event
from service.auth_service import admin_only
from controller.user_controller import user_dto
from controller.event_controller import event_dto
api = Namespace(name='Admin API', pa... |
import os
import getpass
import re
import sys
import smtplib
from email.mime.image import MIMEImage
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
SMTP_SERVER = 'smtp.gmail.com'
SMTP_PORT = 587
def send_email(sender, recipient):
""" sends email message """
msg = MIMEMulti... |
s = set([1,2,3])
print(s)
s.add(0)
print(s)
a = [ 1,2,3,4,5 ]
print(a[4:100])
for a in range(3):
print(a)
a = [1,2,3,None,(),[],]
print(len(a)) |
import pytest
from my_module import square
@pytest.mark.parametrize(
'inputs', [2, 3, 4.5]
# The last test will fail
)
def test_square_return_value_is_int(inputs):
# When
subject = square(inputs)
# Then
assert isinstance(subject, int)
|
"""
1、学习目标
掌握 定位超链接的方法: xpath
2、操作步骤（语法）
1、xpath
dirver.find_element_by_xpath("xpath路径")
2、xpath表达式
2.1、绝对路径
从根节点开始一层一层进行查找
/表示绝对路径
/html/body/div/div/div/form/div/div[2]/div/input
2.2、相对路径（重点）
//表示相对路径
1、使用标签+属性定位
... |
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