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class Chromatique(): def __init__(self): self.gen1 = [ {'name': 'Bulbizarre','numero': '001'}, {'name': 'Herbizarre','numero': '002'}, {'name': 'Florizarre','numero': '003'}, {'name': 'Salameche', 'numero': '004'}, {'name': 'Reptincel', 'numero': '...
# -*- coding: UTF-8 -*- import platform import argparse import csv import time from enum import Enum from io import BytesIO import sys import os import logging import re from pathlib import Path import requests import pdfkit from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdri...
import nox @nox.session(python=["3.8", "3.7"]) def tests(session): """Run the test suite.""" env = {"VIRTUAL_ENV": session.virtualenv.location} session.run("poetry", "install", external=True, env=env) session.run("pytest", "--cov", *session.posargs)
''' Eric Nguyen Github: Nooj45 CS 1656 Professor Alexandros Labrinidis Assignment 1 ''' import sys import requests as req import json import math from math import cos, asin, sqrt def total_bikes(): sumBikes = 0 #looking through each dict in the list stationData and summing up num_bikes_available for numBik...
from django.conf.urls.defaults import patterns, include, url # Uncomment the next two lines to enable the admin: # from django.contrib import admin # admin.autodiscover() urlpatterns = patterns('', url(r'^refer/','py_django_test.refer_test.views.refer') # Examples: # url(r'^$', 'py_djan...
#!/usr/bin/env python3 # vim: set ai et ts=4 sw=4: import matplotlib as mpl import matplotlib.pyplot as plt import matplotlib.dates as mdates import datetime as dt import csv data_names = ['cafe', 'pharmacy', 'fuel', 'bank', 'waste_disposal', 'atm', 'bench', 'parking', 'restaurant', 'plac...
import random import os import urllib if not os.path.exists('training'): os.makedirs('training') if not os.path.exists('test'): os.makedirs('test') #training data for i in range(10): #tiling_resolution = random.randint(0, 11) tiling_resolution = 11 column_num = 320 row_num = 640 #column_n...
#!/usr/bin/python #qplot -x -3d -s 'set xlabel "x";set ylabel "y";set view equal xy' outcmaes_obj.dat w l outcmaes_res.dat ps 3 data/res000{0,1,2,3,5,6}.dat -showerr import cma import numpy as np def fobj1(x,f_none=None): assert len(x)==2 if (x[0]-0.5)**2+(x[1]+0.5)**2<0.2: return f_none return 3.0*(x[0]-1.2)**...
#!/usr/bin/env python # encoding: utf-8 """ test_orig_dmarket.py Created by Jakub Konka on 2011-05-09. Copyright (c) 2011 University of Strathclyde. All rights reserved. """ from __future__ import division import sys import os import numpy as np import scipy.integrate as integral import scipy.stats.mstats as mstats im...
try: import tkinter as tk from tkinter import messagebox except: import Tkinter as tk import tkMessageBox as messagebox import ttk import time from scraper.scraper_1 import Drug_Recalls color = ["#329fea", "#cc93e8"] def Drug_GUI(frame): parse_ctrl = Drug_Recalls() parse_ctrl.parse() ...
# Generated by Django 2.1.4 on 2019-01-09 18:16 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('services', '0002_auto_20190109_1816'), ('psychologues', '0008_psychologuesservicesofferts'), ] operations =...
def text(): return "kokoko"
''' Created on Jul 20, 2016 @author: Dayo ''' from django.test import TestCase from django.contrib.auth.models import User from datetime import datetime from ..tasks import process_onetime_event, process_private_anniversary, process_public_anniversary from core.models import Event, Contact, MessageTemplat...
from __future__ import print_function, division from math import exp from keras import initializers, regularizers, activations, constraints from keras.engine import Layer, InputSpec from keras.models import Model, model_from_json from keras.layers import Input, Embedding, TimeDistributed, Dense, Dropout, Reshape, Con...
#!/usr/bin/env python # -*- coding: utf-8 -*- from hyper_parameters import * from global_parameters import * class AcNet(object): ''' Class: A3C network ''' def __init__(self, scope, globalAC=None): ''' :param scope: The network it belongs to :param globalAC: The global_net name...
#default flask app for funzies from flask import Flask, render_template, request, redirect, url_for, session import utils.manage, hashlib, os app = Flask(__name__) app.secret_key = os.urandom(32) @app.route('/') def display_login(): #====== DIAGNOSTIC PRINT STATEMENTS ====== print '\n\n\n' print '=== DIAG...
import sys sys.path.append("/Applications/Autodesk/maya2015/Maya.app/Contents/Frameworks/Python.framework/Versions/Current/lib/python2.7/site-packages/numpy-1.9.1-py2.7-macosx-10.6-intel.egg") import maya.standalone maya.standalone.initialize("Python") import maya.cmds as cmds import numpy as np import math as ma i...
import string import unicodedata import os def clear(): os.system("cls") def keyOK(n, offset): return offset >= 0 and offset <= 2*n-3 def computeCoordinates(n, l, offset): coordinates = [] row = 0 isRising = False if offset > n-1: offset = (n-1)-(offset-(n-1)) ...
# -*- coding: utf-8 -*- from __future__ import absolute_import, print_function, unicode_literals import requests class AvaClient(object): def __init__(self, token, url): self._token = token self._url = url self._headers = { 'Authorization': self._token, } def get...
import numpy as np import cv2 face_cascade = cv2.CascadeClassifier('cascade.xml') img = cv2.imread('Training/show_img/1.png') gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) gray = cv2.equalizeHist(gray) faces = face_cascade.detectMultiScale(gray, scaleFactor = 1.1, ...
# Copyright 2019 The ASReview 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 applicabl...
import re class Session: __sessid = -1 def __init__(self, name, speaker, description, start_time, end_time, date, capacity): self._sessid = self._generate_id() self._name = name self._speaker = speaker self._description = description self._start_time = start_time ...
#Written by Adam Turnbull from psychopy import visual from psychopy import visual from psychopy import gui, data, core,event import csv import time from time import localtime, strftime, gmtime from datetime import datetime import os.path import pyglet # Kill switch for Psychopy3 event.globalKeys.clear() # clear glob...
import sys import ProcessCMDArgs import DocumentProcessor def logicOfProgram (listOfCMDArgs): def build(dict_dpb_parsed_args): dpb = dict_dpb_parsed_args.get('dpb') dp = DocumentProcessor.DocumentProcessor(dpb); if 'words_to_search_for' in dict_dpb_parsed_args: search = dict_dp...
import os import datetime import calendar import logging from typing import Dict from django.conf import settings from rest_framework.response import Response from rest_framework import status from rest_framework.decorators import api_view from packages.tasks import celery_generate_summary from packages.utils import...
from torch.utils.data import Dataset import os import numpy as np import torch from PIL import Image class Data(Dataset): def __init__(self, path): #传入图片路径 self.path = path #创建数据集 # self.dataset = [] #将数据传入数据集 self.dataset = os.listdir(self.path) # self.data...
from rest_framework.views import APIView from rest_framework.response import Response from rest_framework import status from .models import Score from .serializers import ScoreSerializer class ScoreView(APIView): def post(self, req): score = { 'user': req.data.get('userId'), 'win': req.data.get('win...
for i in range(10): print(f"i is now {i}") print("*" * 20) i = 0 while i < 10: print(f"i is now {i}") i += 1
# -*- coding: utf-8 -*- from datetime import datetime from irc3.compat import Queue from irc3.compat import QueueFull import irc3 __doc__ = ''' ============================================== :mod:`irc3.plugins.ctcp` CTCP replies ============================================== .. >>> from irc3.testing import IrcBot ...
#!/usr/bin/python from termcolor import colored import sys import signal import requests import json from flask import jsonify def signal_handler(sig, frame): print() print(colored("Pleeaasee don't leave me",'cyan',attrs = ['bold'])) sys.exit(0) signal.signal(signal.SIGINT, signal_handler) flag = 0 # use...
import pytest from autumn.settings import Models from autumn.core.project.project import _PROJECTS, get_project COVID_PROJECTS = list(_PROJECTS[Models.COVID_19].keys()) @pytest.mark.benchmark @pytest.mark.github_only @pytest.mark.parametrize("project_name", COVID_PROJECTS) def test_benchmark_covid_models(project_na...
# Generated by Django 3.1.3 on 2020-11-29 17:12 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('portfolio_app', '0001_initial'), ] operations = [ migrations.AlterField( model_name='portfolio', name='img', ...
import re sectors = open('input').read() total = 0 for sector in sectors.split("\n"): if not sector: continue letters = dict() sector_id = re.search(r"\d+", sector).group(0) checksum = re.search(r"\[(.*?)\]", sector).group(1) full_code = re.match(r"[a-z-]+", sector).group(0) codes = ...
import math import types """Module containing functions and classes that are shared between different tests""" def assertFloatWithinPercentage(testCase, expect, actual, percenttolerance = 0.5, places = 5): """Assert that actual is within percenttolerance of expect. Percenttolerance is specified as a percentage of ...
/home/ajitkumar/anaconda3/lib/python3.7/enum.py
# vim:fileencoding=utf-8:noet # WARNING: using unicode_literals causes errors in argparse from __future__ import (division, absolute_import, print_function) import argparse import sys from itertools import chain from powerline.lib.overrides import parsedotval, parse_override_var from powerline.lib.dict import mergea...
import numpy as np import matplotlib.pyplot as plt import astropy.units as u import astropy.coordinates as coords from astropy.time import Time from astropy.timeseries import TimeSeries from pygdsm import GSMObserver2016, GlobalSkyModel2016 from datetime import datetime from healpy import ang2vec, ang2pix, get_nside ...
max_value = 0 min_value = 1000 student_scores = input("Input a list of student scores with 'space' between each score: \n").split() for n in range(0, len(student_scores)): student_scores[n] = int(student_scores[n]) if student_scores[n] > max_value: max_value = student_scores[n] if min_value > student_scores[n]: ...
T = [ "light red bags contain 1 bright white bag, 2 muted yellow bags.\n", "dark orange bags contain 3 bright white bags, 4 muted yellow bags.\n", "bright white bags contain 1 shiny gold bag.\n", "muted yellow bags contain 2 shiny gold bags, 9 faded blue bags.\n", "shiny gold bags contain 1 dark oli...
""" Invokes flask_djangofy-admin when the flask-djangofy module is run as a script. Example: python -m flask_djangofy check """ from flask_djangofy.core import management if __name__ == "__main__": management.execute_from_command_line()
from rest_framework import viewsets from share.models.jobs import IngestJob from api.base.views import ShareViewSet from api.pagination import CursorPagination from api.ingestjobs.serializers import IngestJobSerializer class IngestJobViewSet(ShareViewSet, viewsets.ReadOnlyModelViewSet): ordering = ('-id', ) ...
# import blender gamengine modules from bge import logic from bge import events from bge import render from . import bgui from .settings import * from .helpers import * import time import pdb import colorsys import random class Timeline(): def __init__(self, timelineWidget, scrollerWidget, sys): '''sets-up timeli...
nt1 = float(input('Digite a primeira nota: ')) nt2 = float(input('Digite a segunda nota: ')) media = (nt1 + nt2) / 2 if media < 5: print('VocÊ foi reprovado sua média é {:.1f}.'.format(media)) elif 5 <= media <= 6.9: print('Você está em recuperação, sue média é {:.1f}.'.format(media)) elif media > 7: print(...
from hexadecimal import Hexadecimal def main(): grade = 0 #Constructor worth 25 points grade += test_constructor() #Overloaded str() worth 10 points grade += test_str() #Overloaded math operators (+, -, *, /, **, %) worth 20 points grade += test_math_ops() #Overloaded re...
import re,string,random # from django.apps import apps # from django.db.models import Max from cl_table.models import Fmspw, Securitylevellist def code_generator(size=4,chars=string.ascii_letters + string.digits): code = '' for i in range(size): code += random.choice(chars) return code # def cre...
from django.db import models from patients.models import Patient from django.contrib.auth.models import User class Lab(models.Model): name = models.CharField(max_length=30) category = models.CharField(max_length=30) class Diagnosis(models.Model): VISIT_TYPES = ( ('Inpatient', 'Inpatient'), ...
#!/usr/bin/python ## Author: Omid Shams Solari ## E-mail: omid@genapsys.com ## Date: 03/16/2014 import numpy as np from Bio import Seq, SeqIO from Bio.Alphabet import IUPAC from Bio.SeqRecord import SeqRecord def createRecord(seq, parentRec): """ inputs: seq <Seq object> parentRec <record object> ...
# -*- coding: utf-8 -*- from setuptools import setup, find_packages setup( name='vcs_learning', version='0.1', description="Learning to develop a Version Control System", long_description_markdown_filename='README.md', url='https://github.com/ShubhankarKG/VCS_learnings.git', license='AGPL-3.0-...
# Definition for singly-linked list. # class ListNode(object): # def __init__(self, x): # self.val = x # self.next = None class Solution1(object): def getIntersectionNode(self, headA, headB): """ :type head1, head1: ListNode :rtype: ListNode """ """ ...
from solvent import config from solvent import label from solvent import run from upseto import gitwrapper class ThisProjectLabel: def __init__(self, product): gitWrapper = gitwrapper.GitWrapper('.') hash = gitWrapper.hash() basename = gitWrapper.originURLBasename() if config.OFFI...
from kaffe.tensorflow import Network class MobileNetYOLO(Network): def setup(self): (self.feed('data') .conv(3, 3, 32, 2, 2, biased=False, relu=False, name='conv0') .batch_normalization(relu=True, name='conv0_bn') .conv(3, 3, 32, 1, 1, biased=False, group=32, relu=Fal...
## @package test_tiles ## Unit tests for tiles (under constrcution). from unittest import TestCase from unittest import TestSuite from enhanced_grid import Grid2D from tiles import energy2 from tiles import energy3 from tiles import calc_acc_energy from tiles import find_min_seam from tiles import quilt from tiles ...
def read_file(file_name): file_dic = {} with open(file_name, 'r') as input_file: lines = input_file.readlines() for index in range(0, len(lines) - 1, 2): if lines[index].strip() == '': continue cnt = int(lines[index].strip()) name = lines[index...
# 실습 : 19_1, 2, 3, 4, 5, EarlyStopping 까지 # 총 6개의 파일을 완성하시오. import numpy as np from sklearn.datasets import load_diabetes dataset = load_diabetes() x = dataset.data y = dataset.target print(x[:5]) print(y[:10]) print(x.shape, y.shape) print(np.max(x), np.min(x)) # print(dataset.feature_names) # print(dataset.DESCR...
#!/usr/bin/python from plumbum import cli import socket import sys import time import struct kMagicNumber = 0x53545259 kPing = 1 kGetStats = 2 kResetStats = 3 kCompress = 4 kHdrSize = 8 kStatSize = 9 class Application(cli.Application): port = cli.SwitchAttr(["p"], int, default=4000) host = cli.SwitchAttr(["h"...
#coding:utf-8 import os print(os.path.exists('AutoEncoder.py')) #判断当前路径下的文件是否存在
#/bin/env python3 # ============================================================================== # Copyright (c) Moises Martinez by Fictizia. 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 c...
import tflearn from tflearn.data_utils import to_categorical, pad_sequence from tflearn.datasets import imdb # IMBD Dataset loading train, test, _ = imdb.load_data(path='imdb.pkl', n_words=10000, valid_portion=0.1) trainX, trainY = train testX, testY = test # Data preprocessing # Sequence padding # Vectorize inputs ...
import fasttext from src.binaryfuncs import * from src.multifuncs import * def main(): trainingTextBin = import_text("training/EXIST2021_training.tsv") format_text_bin(trainingTextBin) crossValBinEN(5) crossValBinES(5) testBin() trainingTextMulti = import_text("training/EXIST2021_train...
import requests from pydantic import validate_arguments, ValidationError @validate_arguments def GetBooks(q:str) -> object: r = requests.get("https://www.googleapis.com/books/v1/volumes?q="+q) return r.json()
from __future__ import division from __future__ import print_function from pathlib import Path import gzip import numpy as np if __name__ == '__main__': import data_dirs else: from tools import data_dirs from sklearn.utils import shuffle from sklearn.model_selection import train_test_split #from skimage import...
# SOURCE: experiments/hras_nucleotide_equilibration.rst:16 from rasmodel.scenarios.default import model # SOURCE: experiments/hras_nucleotide_equilibration.rst:20 import numpy as np from matplotlib import pyplot as plt from pysb.integrate import Solver from pysb import * # SOURCE: experiments/hras_nucleotide_equilib...
# Generated by Django 2.0.1 on 2018-02-23 12:15 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('ClubBoard', '0004_merge_20180221_1656'), ('ClubBoard', '0003_auto_20180219_1903'), ] operations = [ ]
from World import * class AmoebaWorld(World): """AmoebaWorld is a microscope slide, with hash marks, where Amoebas trace parametric equations. """ def __init__(self): World.__init__(self) self.title('AmoebaWorld') self.ca_width = 400 # canvas width and height ...
from orun.http import HttpResponse from orun.apps import apps from orun.db import models class Http(models.Model): @classmethod def get_attachment(cls, attachment_id): obj = apps['content.attachment'].objects.get(pk=attachment_id) headers = None res = HttpResponse(obj.content, content_...
# coding: utf-8 """ 把蓝色当成1、白色当成2、红色当成3 i代表1的代表从左到右的位置 k代表3从右到左的位置 """ def three_flag(x): i = 0 j = 0 k = len(x) - 1 while j <= k: if x[j] == 1: if i != j: x[i], x[j] = x[j], x[i] i += 1 j += 1 elif x[j] == 3: x[k], x[j] =...
# https://www.reddit.com/r/dailyprogrammer/comments/5aemnn/20161031_challenge_290_easy_kaprekar_numbers/ # WEIRD ERROR: ValueError: invalid literal for int() with base 10: '' import math def kaprekarNumbers(start, end): for i in range(start, end+1): num = int(math.pow(i, 2)) numList = [int(num) fo...
#!/usr/bin/python class Fred: def __init__(self, name=None, a="default name", UUID = None ): self.name = name self.a = a self.UUID = UUID def PrintShit(self): print ("I am a wibble") def UUIDdefined (self): ...
# main window (основное окно) from tkinter import * import requests from tkcalendar import * root = Tk() root.geometry('400x250') root.title('Calendar + weather') def tell_weather(): url = 'http://wttr.in/?0T' response = requests.get(url) print(response.text) # define the window's appearance (определи...
from utils.urls import github_URL import requests from bs4 import BeautifulSoup from spiders.base import Spider from utils.headers import HEADERS from models.HotItem import HotItem from utils.mongo import hot_collection from utils.cates import types class GithubSpider(Spider): def __init__(self, name='github'): ...
# !/usr/bin/python """ ----------------------------------------------- Bardel Attribute Assignment Written By: Colton Fetters Version: 1.0 First release: 11/09/2017 ----------------------------------------------- """ # Import module import os import json import maya.cmds as cmds # Studio module import bd_...
from django.db import models from django.contrib.auth.models import User from investigator.models import Investigator from case.models import Case class StatusUpdate(models.Model): status = models.CharField(max_length=40) timestamp = models.DateTimeField(auto_now_add=True) user = models.ForeignKey(User) ...
print('안녕하세요? 여러분\n저는 파이썬을 무척 좋아합니다.\n9*8은 ', 9*8, " 입니다.\n안녕히 계세요.")
# realize a function def test(a,b,func): result = func(a,b) print(result) func_new = input("please input a funciton:") print type(func_new) # func_new = eval(func_new) test(2,3,func_new)
import torch from torch import nn class GRUGate(nn.Module): def __init__(self, d_model): super(GRUGate, self).__init__() self.Wr = nn.Linear(d_model, d_model, bias=False) self.Ur = nn.Linear(d_model, d_model, bias=False) self.Wz = nn.Linear(d_model, d_model, bias=False) sel...
import torch # data x_data = torch.tensor([1.0, 2.0, 3.0]) y_data = torch.tensor([1.0, 3.0, 5.0]) # initialize a, b = torch.tensor([0.0]), torch.tensor([0.0]) lr = 0.1 for epoch in range(100): # forward predict = a * x_data + b # shape : (3) # compute loss loss = torch.sum((predict - y_data) ** 2) /...
from django.test import TestCase from Apps.Estudiante.models import Estudiante from Apps.Estudiante.views import cargarTareasdeEstudiante from Apps.Tarea.models import Tarea from Apps.Curso.models import Curso from Apps.Grupo.models import Grupo from Apps.Grado.models import Grado from Apps.Tema.models import Tema from...
import os import argparse import datetime import re import numpy as np import pandas as pd import geopandas as gpd import rasterio import rioxarray import shapely import pykrige.kriging_tools as kt import struct import dask.array as da import multiprocessing from osgeo import ogr, osr, gdal from rasterio.crs import...
from .base_setup import BaseSetup from .categorical_image_flow_setup import CategoricalImageFlowSetup
import day4 import unittest class Day2Tests(unittest.TestCase): def test_True(self): self.assertTrue(True) def test_Day4Example(self): room = day4.Room('aaaaa-bbb-z-y-x-123[abxyz]') self.assertTrue(room.validate()) def test_Day4Example_2(self): room = day4.Room('a-b-c-d-e...
from colosseum.games import GameTracker class GTNTracker(GameTracker): def __init__(self, n_players:int, upper:int, lower:int=0, playerid:int=-1): super().__init__(n_players) """ params: n_players:int - Number of players upper:int - Exclusive upper bound of the secret number lower:int=0 - Inclusive low...
# -*- coding: utf-8 -*- """ Created on Sat Feb 10 12:54:44 2018 @author: Yadnyesh """ import pandas as pd import numpy as np import collections import matplotlib.pyplot as plt df_1 = pd.read_csv('F:/ZS/data/train.csv') df_2 = pd.read_csv('F:/ZS/data/artists.csv') df_3 = pd.read_csv('F:/ZS/data/test.csv') # Count ...
# logging.py # author: IST411 Group 2 # 9/8/2016 from cookielib import logger import json # import logging # # logging.basicConfig(filename='myapp.log') # # create logger # logger = logging.getLogger('example') # logger.setLevel(logging.DEBUG) # # # create console handler and set level to debug # ch = logging.Stream...
# Initialize a Tic-Tac-Toe Board board = ["-","-","-", "-","-","-", "-","-","-"] # Set a bolean to check win check_win = False #Save inputs save_inputs = [] # Set the counter to take turn count = 0 # Make the board with values def display_board(): print(board[0] + "|" + board[1]+ "|" + board[2...
#!/usr/bin/env python3 # -*- coding:utf-8 -*- # Dependencies: requests, absl-py, lxml import json import requests import csv import re from lxml import etree from absl import app, flags, logging from datetime import datetime, date from time import time FLAGS = flags.FLAGS flags.DEFINE_bool('debug', False, 'Debug mode...
numero = int(input("Digite um valor: ")) contador = 1 total = 0 while contador <= numero: if numero % contador == 0: total = total + 1 contador += 1 if total == 2: print("Ele é primo") else: print("Ele não é primo.")
import sys, csv f = sys.argv[1] write = open(f+'replaced.csv', 'w') with open(f, 'r') as read: for line in read: line = line.replace(';',',').replace('\t', '').replace('\0','') write.write(line) read.close() write.close()
#----------- # Usage: # python run_montyhall.py (change_door= y|n) (tries= 1~...) #----------- import sys import os import random import subprocess # which door will be chosen target = random.randint(0,2) # whether to change door everytime (argv = 'y') or not changeDoor = sys.argv[1] # number of tries numTries = int...
from database.db_objects import User, Teacher import gitlab def gitlab_server_connection(username): current_user = User.query.filter(User.username == username).first() current_teacher = Teacher.query.filter(Teacher.user_id == current_user.id).first() gitlab_key = current_teacher.gitlab_key # print("cl...
from flask import Flask, jsonify, request from flask_cors import CORS import random import string def get_random_string(length): letters = string.ascii_lowercase result_str = ''.join(random.choice(letters) for i in range(length)) return result_str app = Flask(__name__) CORS(app) def makeClass(id): ...
import cv2 # библиотека opencv import numpy # работа с массивамиpip3 install paho-mqtt import paho.mqtt.client as mqtt import math handle2 = open(str(input())+'.txt','w') cap = cv2.VideoCapture(2) # читать видео поток handle = open("blue.txt", "r") h_down_g = int(handle.readline()) s_down_g = int(handle.readline(...
from django.contrib import admin from .models import ClickCount, WeekCount class ClickCountAdmin(admin.ModelAdmin): list_display = ('linkid', 'weikefu','mobile', 'user_num', 'valid_num', 'click_num','date', 'write_time', 'username') list_display_links = ['linkid', 'username'] list_...
# dataframe, numpy import pandas as pd import numpy as np # Scaler from sklearn.preprocessing import MinMaxScaler # Model, LSTM from keras.models import Sequential from keras.layers import Dense, LSTM # graph import matplotlib.pyplot as plt from matplotlib.widgets import Button # downloader file import urllib.reque...
import sys, os, shutil from datetime import datetime as dt from reorg import page from reorg import crawling as cr def adjust_target_dir_for_page(dir_target): """From path to directory target as if for section""" basename = os.path.basename(dir_target) return dir_target.replace(basename, "") def whats_d...
# ###리스트 # 리스트는 데이터의 목록을 다루는 자료형 # []대괄호로 명명한다 # 리스트 안에는 어떠한 자료형도 포함시킬수 있음 C는 같은 자료형만 가능 # 변수가 많아지면 관리해야할 사항이 많아지고 실수할 확률이 높아짐 # 리스트는 연속적으로 되있어서 데이터 가져오기 편함 # 리스트를 가져올때는 인덱스를 사용 0번부터 # ls = [500, 200, 300, 400] # Sum = 0 # print("ls:", ls) # print("ls[0]:", ls[0]) # print("ls[1]:", ls[1]) # print("ls[2]:", ls[2]) # ...
# -*- coding:utf-8 -*- import cv2 import matplotlib.pyplot as plt import numpy as np import math import time coef_angular_positivo = [] coef_angular_negativo = [] coef_linear_positivo = [] coef_linear_negativo = [] mediana_x = 0 mediana_y = 0 def ponto_fuga(frame): lista_xi = [] lista_yi = [] x_ponto_fu...
import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv) from subprocess import check_output from keras.layers.core import Dense, Activation, Dropout from keras.layers.recurrent import LSTM from keras.models import Sequential from sklearn.model_selection import train...
from rcnn_create_model import * # from rcnn_feature_stats import * from rcnn_feature import * from rcnn_load_model import * import numpy as np import caffe from datasets.factory import get_imdb from sklearn.linear_model import LogisticRegression import theanets import climate def rcnn_train(imdb): use_gpu = False...
#import lxml.etree as ET import xml.etree.ElementTree as ET import urllib import sys if __name__ == "__main__": for i in sys.argv[1:]: t = ET.parse(i).getroot() label = '"<li>' url = t.attrib.get('url') if url: label += "<a href='" + urllib.quote_plus(urllib.unquote(url)...
from Record import Record import mysql.connector from mysql.connector import errorcode ''' RecordsManager accesses the underlying MySQL database and transforms that data into Python objects that the script can work with. It requires mysql.connector to be installed on the machine you run the script. This can be found he...