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class SimpleArithmetic: def simple_add(x,y): print(x+y) def simple_subtract(x,y): print(x-y) def simple_multiply(x,y): print(x*y) def simple_divide(x,y): print(x/y) def floor_divide(x,y): #the double-slash operator performs division and then rounds the result down to the next-lowest integer #this ...
# encoding: utf-8 #@author: newdream_daliu QQ:279129436 #@file: aaa.py.py #@time: 2021-05-05 18:13 #@desc: print('test01') print('test02') print('test04') print('test05') print('test06')
#!/usr/bin/python import torch def prepare_data(train_path, max_len=20): print('Loading data...') # read sents and get vocab sents = [] vocab = {'<UNK>': 0, '<pad>': 1} i = len(vocab) with open(train_path) as...
import json import shapely.wkb import tile_gen.util as u import tile_gen.vectiles.mvt as mvt import tile_gen.vectiles.geojson as geojson from tile_gen.geography import SphericalMercator from ModestMaps.Core import Coordinate from StringIO import StringIO from math import pi from psycopg2.extras import RealDictCursor fr...
import csv import pickle import string from nltk.corpus import wordnet as wn #this script is intended to be run from the python command line def save_senti_data(): #read SentiWordNet data file to get list of positive and negative sentiment polarities for each word with a given part of speech senti_file = ope...
# import blender gamengine modules from bge import logic from .settings import * from . import bgui import logging allowDuplicate = True class Logger: """Message logger singleton""" def __init__(self, widget): self.bigList = [] self.panel = widget # init secondary UI elements self.logger1 = bgui.Label(sel...
import robots AGENT = "test_robotparser" parser = robots.RobotsParser.from_file("robots.txt") if parser.errors: print("ERRORS:") print(parser.errors) if parser.errors: print("WARNINGS:") print(parser.errors) assert parser.can_fetch(AGENT, "/tmp") assert not parser.can_fetch(AGENT, "/tmp/") assert n...
#034: Error Correction in Reads #http://rosalind.info/problems/corr/ #Given: A collection of up to 1000 reads of equal length (at most 50 bp) in FASTA format. Some of these reads were generated with a single-nucleotide error. For each read s in the dataset, one of the following applies: titles = ['>Rosalind_52', '>Ro...
from ffl import app, db, models, espn, nfl, shark from flask_script import Manager from flask_migrate import Migrate, MigrateCommand import csv migrate = Migrate(app, db) manager = Manager(app) manager.add_command('db', MigrateCommand) @manager.command def delete_data(): db.session.execute(models.playerPosition....
""" """ class Solution(object): def pivotIndexSol(self, nums): pivot = -1 length = len(nums) if length == 0: return pivot i, leftSum, rightSum = 1, [0 for _ in range(length)], [0 for _ in range(length)] leftSum[0] = nums[0] rightSum[length - 1] = nums[length - 1] ...
# https://leetcode.com/problems/string-compression/?envType=study-plan-v2&envId=leetcode-75 class Solution: def compress(self, chars: List[str]) -> int: res = "" count = 1 c = chars[0] for ndx in range(1, len(chars)): if c == chars[ndx]: count += 1 ...
__author__ = 'joshgenao' import cv2 import numpy as np from matplotlib import pyplot as plt def FlannMatcher(queryImage, image): MIN_MATCH_COUNT = 10 img1 = cv2.imread(queryImage,0) # queryImage img2 = cv2.imread(image,0) # trainImage # Initiate SIFT detector sift = cv2.SIFT(...
from django.db import models from django.contrib.auth import get_user_model from django.core.validators import MinValueValidator,MaxValueValidator import datetime # Create your models here. User=get_user_model() class Doctor(models.Model): #identificador=models.IntegerField(default=2) dni= models.IntegerField...
""" LeetCode - Easy """ class Solution: def intersect(self, nums1, nums2): dict_int_1 = dict() dict_int_2 = dict() index_1 = 0 index_2 = 0 flag = True while flag == True: if index_1 != len(nums1): if nums1[index_1] in dict_int_1: ...
from django.conf.urls import url from . import views urlpatterns = [ url(r'^$', views.index), url(r'^register$', views.register), url(r'^login$', views.login), url(r'^dashboard$', views.dashboard), url(r'^submit$', views.submit), url(r'^add/(?P<quoteid>\d+)$', views.add), url(r'^remove/(?P...
# ----------------------------------------------------------------------------- # Copyright (c) 2014--, The Qiita Development Team. # # Distributed under the terms of the BSD 3-clause License. # # The full license is in the file LICENSE, distributed with this software. # ------------------------------------------------...
import struct import os import json from .protocol import Message, PayloadItem, parse_messages_json_folder from .protocol import ProtocolPayload, message from .protocol import DefaultPluginMessagePayload, plugin_message from .protocol import MessageID def handle_undefined_message(*args): pass def handle_undefined...
from collections import defaultdict from fs import path from fs.subfs import SubFS from fs.copy import copy_dir from fs.copy import copy_file from fs.zipfs import WriteZipFS from fs.tempfs import TempFS from fs.osfs import OSFS from fs.errors import NoSysPath from sqlalchemy import desc from onegov.core.csv import con...
import sys sys.path.append("../") from src import verbalGraphGenerator import random from src import logger import logging import uuid from src import utils from src import constants import argparse import codecs import os import time import pdb from tqdm import tqdm cur_Intents_String = "" class controller: de...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Jun 15 15:55:01 2017 @author: brian Cechmanek Implementation of a classifier Perceptron from scratch. with extensive/excessive documentation We'll later use it for exploration of the Iris data set. """ import numpy as np # this is to drastically speed...
from django.forms import ModelForm from .models import Post, Comment, Like from datetime import datetime class PostForm(ModelForm): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.fields['author'].widget.attrs.update({'class': 'form-control'}) self.fields['titl...
import csv as csv import numpy as np # Read the file csv_file = csv.reader(open('train.csv', 'rb')) header = csv_file.next() data = [] for line in csv_file: data.append(line) data = np.array(data)
#Copyright (C) Practica Ana Sollars & Co. #Permission is granted to copy, distribute and/or modify this document #under the terms of the GNU Free Documentation License, Version 1.3 #or any later version published by the Free Software Foundation; #with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Text...
#!/usr/bin/env python """ Provides functionality to crawl and extract news articles from a single WARC file from commoncrawl.org. Filter criteria, such as publish date and host list, can be defined. Currently, the WARC file will be downloaded to the path WORKINGDIR/cc_download_warc, if not otherwise specified. """ impo...
# import sys # input = sys.stdin.readline #A1 ~ Aiまでの和 O(logN) #A1 ~ Aiまでの和 O(logN) # def BIT_query(BIT,idx): # res_sum = 0 # if idx == 0: # return 0 # while idx > 0: # res_sum += BIT[idx] # idx -= idx&(-idx) # return res_sum # #Ai += x O(logN) # def BIT_update(BIT,idx,x,n): # ...
import random n = 50 print n xs = [] for ix in range(n): xs.append(random.randrange(10)) print ' '.join(map(str, xs)) print n for ix in range(n): x = random.randrange(1, n + 1) y = random.randrange(1, n + 1) print min(x, y), max(x, y)
# 8-queens Problem def make_board() : d={} for col in range(0,8) : for row in range(0, 8) : d[col, row] = 0 return d #print(d) def show_board(d) : for row in range(0,8) : print(d[(0,row)],d[(1,row)],d[(2,row)],d[(3,row)],d[(4,row)],d[(5,row)],d[(6,row)],d[(7,row)] ) de...
from catboost import CatBoostClassifier from lightgbm import LGBMClassifier from sklearn.neighbors import KNeighborsClassifier from sklearn.svm import SVC from sklearn.gaussian_process import GaussianProcessClassifier from sklearn.gaussian_process.kernels import RBF from sklearn.tree import DecisionTreeClassifier from ...
import numpy as np import cv2 cap=cv2.VideoCapture('video.mp4') fgbg=cv2.createBackgroundSubtractorMOG2() while True: ret,frame=cap.read() fgmask=fgbg.apply(frame) cv2.imshow('fgmask',fgmask) cv2.imshow('orjinal',frame) k=cv2.waitKey(25) &0xff if k==27: break cap.release(...
from django.db import models from django_extmodels.manager import ExtManager from django_extmodels.options import ExtOptions from django_extmodels.settings import ext_settings META_CLASS_NAME = ext_settings['META_NAME'] META_ATTR_NAME = ext_settings['META_ATTR'] class ExtModelBase(models.base.ModelBase): def __new...
from collections.abc import Callable from inspect import FullArgSpec from typing import Any, TypeVar from typing_extensions import ParamSpec _T = TypeVar('_T') _P = ParamSpec('_P') def arginfo(callable: Callable[..., Any]) -> FullArgSpec: ... def is_cached(callable: Callable[..., Any]) -> bool: ... def get_callable_i...
import os, sys, time # force run on CPU? os.environ['CUDA_VISIBLE_DEVICES'] = '0' caffe_root = os.path.dirname(os.path.abspath(__file__))+'/../../' sys.path.insert(0, caffe_root+'python') #os.environ['GLOG_minloglevel'] = '2' import numpy as np np.set_printoptions(linewidth=200) import cv2 import caffe if not os.p...
import numpy as np import adios2 as ad import io from PIL import Image from ast import literal_eval as make_tuple #Given a writable opened adios file (returned by adios2.open), image data of the form used by PIL (or corresponding numpy array), and variable name, write the image to the adios file. def write_image_hl (...
from question1 import clearConsole,bcolors from stackclass import stack from stackclasswithLL import stack as LLstack isStackWithLL= False ## True : Implementation with linked list stack | False : ##Implementation with array stack def run(isstackWithLL): global isStackWithLL isStackWithLL = isstackWithLL ...
import os from configparser import ConfigParser """ This file simply loads and store all information needed for the bot. """ # Reading Config File config = ConfigParser() PROJECT_ROOT = os.path.abspath(os.path.dirname(__file__)) CONFIG_PATH = os.path.join(PROJECT_ROOT, 'credentials.ini') config.read(CONFIG_PATH) # B...
import sys import os TMP = "/tmp/demacro" os.system("mkdir -p %s" %TMP) arg = sys.argv[1] if ".tex" in arg: file_root_name = arg[0:-4] elif arg[-1] == ".": file_root_name = arg[0:-1] else: file_root_name = arg current_dir = os.getcwd() preamble = "" doc_started = False with open("%s.tex" %file_root_name) as f, o...
''' server.py --------- v-1.0.0 It is a basic web server built to be used for development and debugging, it is not intended for production use! ''' import socket # Handling the request so that we can serve the response def handle_request(request): """Handles HTTP requests""" # I will add the code later on...
liste = [5,8,7,3,2,4,6,1] for i in range(len(liste)): val = liste[i] j = i while j > 0 and liste[j - 1] > val: liste[j] = liste[j-1] j -= 1 liste[j] = val print(liste)
from django.apps import AppConfig class LugdunumConfig(AppConfig): name = 'Lugdunum'
class Solution(object): def gameOfLife(self, board): if len(board) == 0 or len(board[0]) == 0: return m, n = len(board), len(board[0]) for i in range(m): for j in range(n): nnb = self.findLiveNeighbor(board, i, j) if board[i][j] == 0 or board[i][j]...
from itertools import izip from copy import deepcopy import socket import re def is_bool(obj): return isinstance(obj, bool) and not isinstance(obj, int) def dict_to_dictlist(d): return [{k: v} for k, v in d.items()] def dictlist_to_dict(l): res = {} for d in l: if len(d) != 1: rai...
import xlwt import xlrd import names from random import randint from firesdk.user_classes.users import XLSUser def generate_users(number_of_users): first_names = [] last_names = [] for _ in range(number_of_users): first_names.append(names.get_first_name()) last_names.append(names.get_las...
# -*- coding: utf-8 -*- """ Created on Mon Dec 5 21:30:56 2016 @author: sautt """ import matplotlib.pyplot as plt import numpy as np load = [] disp = [] with open("load.txt", "r") as fol: for line in fol: load.append(abs(float(line))) fol.close() with open("displacement.txt", "r") as fod: for line i...
import consus c = consus.Client() t = c.begin_transaction() assert t.put('the table', 'the key', 'the value') t.commit()
import base64 import io import csv import json import os import shutil import glob import cv2 import numpy as np from datetime import datetime from PIL import Image from flask import render_template, url_for, request, redirect, Blueprint, session from libs.utils import ( app_dir, touch, ) from collections ...
#!/home/zain101/Documents/Django_Stuff/polls/polls_venv/bin/python # EASY-INSTALL-ENTRY-SCRIPT: 'PyJWT==1.4.0','console_scripts','jwt' __requires__ = 'PyJWT==1.4.0' import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.exit( load_entry_point('PyJWT==1.4.0', 'console_scripts',...
from onegov.core import Framework from onegov.quill import QuillField from pytest import fixture from pytest_localserver.http import WSGIServer from tests.shared.utils import create_app from wtforms import Form from onegov.quill import QuillApp @fixture(scope='function') def quill_app(request): class QuillTestAp...
from django.conf.urls import url from . import views urlpatterns = [ url(r'^login/', views.user_login), url(r'^logout/', views.logout), url(r'^register/', views.register), url(r'^order/', views.order), url(r'^order1/', views.order1), ]
# Generated by Django 2.2.11 on 2020-06-07 20:34 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('pokryvala', '0001_initial'), ] operations = [ migrations.AlterModelOptions( name='pokryvala', options={'verbose_name': 'Пок...
"""狄克斯特拉算法的Python实现 这里用了换钢琴的例子 """ # 首先构建这个图 def generate_graph(): # 图 graph = {} # 记录边的权重 graph['score'] = {} graph['score']['poster'] = 0 # 乐谱换海报 graph['score']['disc'] = 5 # 乐谱换唱片 graph['disc'] = {} graph['disc']['guitar'] = 15 # 唱片换吉他 graph['disc']['drum'] = 20 # 唱片换架子鼓 ...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- # informe_final.py #%% ejercicio 7.7 import fileparse def leer_camion(nombre_archivo): '''Computa el precio total del camion (cajones * precio) de un archivo''' with open(nombre_archivo) as f: camion = fileparse.parse_csv(f, select = ['nombre', 'cajones'...
# que https://leetcode.com/problems/find-all-numbers-disappeared-in-an-array/solution/ # solution 1 def findDisappearedNumbers(arr): n = len(arr) arr = list(set(arr)) for i in range(1, n+1): if(i in arr): arr.remove(i) else: arr.append(i) return arr print(find...
#!/usr/local/bin/python3 #-*-coding:utf-8 -*- ############### FONCTION ############### #le but de ce script est d'effectuer des opérations sur des courbes; elle permet de soustraire #à un .dat, un autre .dat pour s'affranchir des certain phénomènes parasites de fond ############### VERSION 1 ############### #version...
from rest_framework import serializers from accounts.serializers import UserSerializer class SubmissionSerializer(serializers.Serializer): id = serializers.IntegerField() grade = serializers.IntegerField() repo = serializers.CharField() user_id = serializers.IntegerField() activity_id = serializers...
''' merge all file in the folder data/name match/json/ in a single json file in data/name match/ filter and create two files one for home_team an one for away_team with the separete events ''' import os import json events = [] events_home_team = [] events_away_team = [] count = 0 count_home = 0 count_away = 0 fil...
# -*- coding:utf-8 -*- """ 求出1~13的整数中1出现的次数,并算出100~1300的整数中1 出现的次数?为此他特别数了一下1~13中包含1的数字有1、 10、11、12、13因此共出现6次,但是对于后面问题他就没 辙了。ACMer希望你们帮帮他,并把问题更加普遍化,可以很 快的求出任意非负整数区间中1出现的次数(从1 到 n 中1 出现的次数)。 """ class Solution: def NumberOf1Between1AndN_Solution(self, n): # write code here countSum = 0 for ...
import copy import base64 import random import string import xml.etree.ElementTree as ET import os import json from uuid import uuid4 import zipfile, os from collections import OrderedDict import shutil def get_zip_file(input_path, result): """ 对目录进行深度优先遍历 :param input_path: :param result: :return...
""" Given values for various macronutrients in grams, determine the number of food points represented. """ def calculate_food_points(protein=0.0, carbs=0.0, fat=0.0, fiber=0.0, alcohol=0.0, ...
from bs4 import BeautifulSoup import requests source = requests.get('https://www.flipkart.com').text soup = BeautifulSoup(source, 'lxml') itemName = [] itemDicount = [] for nameofitem in soup.find_all('div', class_='iUmrbN'): textnameofitem = nameofitem.text itemName.append(textnameofitem) for discount in so...
from django.apps import AppConfig class OnmyojiModelsConfig(AppConfig): name = 'onmyoji_models'
from bibliopixel.animation import BaseMatrixAnim from bibliopixel import colors from websocket import create_connection import threading import numpy as np import PIL from PIL import Image import cv2 WS_FRAME_WIDTH = 640 WS_FRAME_HEIGHT = 480 WS_FRAME_SIZE = WS_FRAME_WIDTH * WS_FRAME_HEIGHT def clamp(v, ...
#!/usr/bin/python """ +-----------------------------------------------------------------------+ | This is an ETL process which extracts invoice line data from the Xero| | finance application and stages it into S3 before loading into the | | Redshift data Warehouse. | | | | The ove...
# -*- coding: utf-8 -*- # !/usr/bin/env python3 import config #from time import time import time import telebot from telebot import types import requests from aiohttp import web import ssl bot = telebot.TeleBot(config.TOKEN) @bot.message_handler(commands=['start']) # работает def handler_start(message): user_...
""" Storing model data in the database FIXME: Most of this has nothing to do with database storage, but rather manipulating pandas DataFrames. Move/rename so as not to imply anything I/O related """ import logging from typing import List import pandas as pd import yaml from summer.model import CompartmentalModel fr...
from allauth.socialaccount import providers from allauth.socialaccount.providers.base import ProviderAccount from allauth.socialaccount.providers.oauth2.provider import OAuth2Provider from allauth.socialaccount import app_settings class PinterestAccount(ProviderAccount): def get_profile_url(self): return ...
# Osuran Uzaylilar def run(): # importing required modules from sys import exit from random import randint from textwrap import dedent class Death: quips = ["Ben olsam daha iyi oynardım", "Bir daha dene şansını", "Sen oynayamıyorsun"] def enter...
# Generated by Django 2.0.6 on 2019-09-04 12:08 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='AuthGroup', fields=[ ('id', models.AutoFiel...
""" #------------------------------------------------------------------------------ # simple_crane_trapezoidal.py # # Generate a simple crane model to compare feedback control and input shaping methods # I hope to use this in a jupyter notebook to serve as a tutorial on input shaping # # Created: 1/30/18 - Daniel Newma...
import math import pyproj coords = [ (37.4001100556, -79.1539111111, 208.38), (37.3996955278, -79.153841, 208.48), (37.3992233889, -79.15425175, 208.18), (37.3989114167, -79.1532775833, 208.48), (37.3993285556, -79.1533773333, 208.28), (37.3992801667, -79.1537883611, 208.38), (37.399244111...
from sqlalchemy import create_engine from sqlalchemy.orm import scoped_session, sessionmaker from sqlalchemy.ext.declarative import declarative_base from emailr.settings.config import DB_USERNAME, DB_PASSWORD, DB_ENDPOINT, \ DB_DATABASE '''Database model for the application.''' # The code below was mostly copied...
# -*- coding: utf-8 -*- """ S3: some wrong functions on binarytrees """ from algopy import bintree def searchBST(x, B): if B == None: return None elif x == B.key: return B else: if x < B.key: searchBST(x, B.left) else: searchBST(x, B.right) def inse...
# Script to web scrape vulnerability information into mongodb from bs4 import BeautifulSoup from pymongo import MongoClient from urllib.request import Request, urlopen import csv import os client = MongoClient('localhost', 27017) db = client.project vulns = db.vulnerabilities vulns.drop() vulns = db.vulne...
import jax.numpy as jnp def zero_mean(X): return jnp.zeros(X.shape[0])
import math import numpy as np class OffloadPCA: def __init__(self, model, scaler): self.scaler = scaler self.n_components = model.n_components_ self.mean_vector = model.mean_ self.pca_components = model.components_.T self.dim = len(self.mean_vector) if scaler: ...
""" Common class/style used on tables """ table_class = ['table', 'table-bordered', 'table-striped', 'vertical-table', ] table_style = ['margin-left: auto;', 'margin-right: auto;', 'width: auto;', ] table_args = "cla...
import geoipgen from os import _exit from gui import time import connection as connection def byCountryCode(country_code): cur = connection.mydb.cursor() cur.execute("select cidr from cidr where country_code='"+country_code+"' and scaned=0 and scanning=0 ORDER BY RAND() LIMIT 1") resultado = cur.fetchall(...
from jinja2 import Environment, select_autoescape, FileSystemLoader class Config: # Markup CONTENT_POST_DIR = "./content/posts" # Static directory IMAGE_DIR = "./static/img" TEMPLATE_DIR = "./static/templates" CSS_DIR = "./static/stylesheets" # Jinja environment variable JINJA_ENV = ...
import os import sys import subprocess import json cpumachines = [3,4,5,6,7,8,9,10,11,12,13,14,16,17,18,19,20,21,22,23,24,25,26,28,29,31,32,33,34,35,36,37,38] gpumachines = [3,5,6,7,10,11,12,13,14]#[2,3,4,6,7,8,10,11,12,14,15,20]#[2,3,5,7,8,10,11,12,13,14,20] cmd = [] for m in cpumachines: cmd.append('ssh -f visio...
import sys import numpy as np import pandas as pd sys.path.append("../util/") import dataloader as dl from sklearn.metrics import mean_squared_error from sklearn.model_selection import train_test_split class MatrixFactorization: def __init__(self, dim_of_factor=10, learning_rate=1e-5, regularization=0.015, max_ite...
from geopy.geocoders import Nominatim from geopy import distance import ipregistry # in the scope of chatbot responses, the Location class is solely responsible for distanceByLatLong. # getLocation is a helper function because many of the requests require lat/long coords class Location(object): #takes in a place as...
import logging from django.contrib.auth.decorators import login_required from django.contrib.auth.models import User from django.utils.timezone import utc from django.contrib.auth import authenticate, login, get_user_model, logout from django.shortcuts import render, get_object_or_404, redirect from django.contrib impo...
""" Parts of the U-Net model """ import torch import torch.nn as nn import torch.nn.functional as F class DoubleConv(nn.Module): """(convolution => [BN] => ReLU) * 2""" def __init__(self, in_channels, out_channels, mid_channels=None): super().__init__() if not mid_channels: ...
import nltk import pandas as pd import pickle from nltk.corpus import stopwords from textblob import TextBlob from flask import Flask, render_template, url_for, request from editdistance import distance from random2 import choice from sklearn.feature_extraction.text import CountVectorizer from sklearn.naive_bayes impor...
class Container(object) : def __init__(self, **kwargs) : for name, val in kwargs.iteritems() : setattr(self, name, val)
import pytest from chess.board import Board def test_board_init_play_white(start_board): assert start_board.player_white is True assert start_board.white_to_move is True assert start_board.moves == [] def test_board_to_array_white(start_board, game_grid_white): assert start_board.to_array() == gam...
class vehicle: def __init__(self, name, wheels, engines, seats): self.name = name self.wheels = wheels self.engines = engines self.seats = seats def getDetails(self): print("The vehicle",self.name,"has wheels:",self.wheels,"has engines:",self.engines,"has seats:",self.s...
"""Init file for visualization package.""" from __future__ import division, print_function, absolute_import from fury._version import get_versions __version__ = get_versions()['version'] del get_versions
""" @file @brief Data mostly for the first year. """ import os def anyfile(name, local=True, cache_folder=".", filename=True): """ Time about marathons over cities and years @param name file to download @param local local data or web @param cache_fo...
import binascii file = open("rgb.bin", "rb") for i in range(65536*3): d0 = file.read(1) x = binascii.b2a_hex(d0) d1 = file.read(1) y = binascii.b2a_hex(d1) d2 = file.read(1) z = binascii.b2a_hex(d2) print hex(i),x,y,z
""" state_ps01.py: Get and set vehicle state, parameter and channel-override information. Modified vehicle_state.py -removed arming code It also demonstrates how to observe vehicle attribute (state) changes. Full documentation is provided at http://python.dronekit.io/examples/vehicle_state.html """ from droneapi.lib...
# database object from app import db # auth model from app.auth.models import User # password / encryption helper tools from werkzeug import check_password_hash, generate_password_hash # flask dependencies from flask import url_for # utils import re import string import random # generates random strings def gene...
from caboard import CaBoard import time class Controller: def __init__(self): self.caboard = CaBoard(50) def draw(self): self.caboard.draw() self.caboard.update() time.sleep(0.1)
from django.contrib import admin from chat.models import UserProfile, Message, Room class UserProfileAdmin(admin.ModelAdmin): list_display = ('user', 'created_at', 'avatar') raw_id_fields = ('user', ) class MessageAdmin(admin.ModelAdmin): list_display = ('sender', 'timestamp', 'content') raw_id_fiel...
# APIs Configuration from django.urls import include, path from . import views from rest_framework import routers router = routers.DefaultRouter() router.register('api/v1/product', views.product_Set) router.register('api/v1/seller_product', views.seller_product_Set) urlpatterns = [ ...
import numpy as np from numpy import pi from numpy.fft import fft2 from numpy.fft import ifft2 from numpy.fft import fftshift from numpy.fft import ifftshift import matplotlib.pyplot as plt from skimage.data import shepp_logan_phantom from skimage.transform import resize FFT = lambda x: fftshift(fft2(ifftshift(x))) I...
import textwrap from onegov.core.utils import module_path from onegov.form import FormCollection from onegov.org.initial_content import add_filesets, load_content, add_pages from onegov.org.models import Organisation def create_new_organisation(app, name, create_files=True, path=None, loc...
""" Test for using a configuration file """ import os import unittest import tempfile import logging import scitokens import scitokens.utils.config import configparser class TestConfig(unittest.TestCase): """ Test the configuration parsing """ def setUp(self): self.dir_path = os.path.dirname(...
import os import sys import torch from torch.autograd import Variable import torch.nn as nn from qpth.qp import QPFunction def computeGramMatrix(A, B): """ Constructs a linear kernel matrix between A and B. We assume that each row in A and B represents a d-dimensional feature vector. Parameters:...
#!/usr/bin/python # -*- coding: utf-8 -*- import requests import sqlite3 import os import pylast import time # "congif" url = "http://rockradio.si/api/module/json/RadioSchedule/JsonModule/GetStreamInfo" post = {'RadioStreamId': '1', 'SystemName': '', 'Title=': '', 'Description' : '', 'Icon%5BId%5D' :...
# Une y triunfarás # Se recibieron distintos postulantes para un empleo de traductor. Crear un diccionario en el cuál la key de cada elemento sea el nombre de un candidato y el contenido sea un set con los idiomas que aprendió. Inventar valores para 5 candidatos. # Mostrar en pantalla los idiomas que todos los candida...