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class TestMigrations: def test_alembic(self, tmp_path): from sqlalchemy import create_engine from spellbot import get_db_url from spellbot.data import create_all, reverse_all db_file = tmp_path / "spellbot.db" connection_string = f"sqlite:///{db_file}" db_url = get_...
from django.shortcuts import render, redirect from django.http import HttpResponse from django.contrib.auth import logout as logout_user from django.contrib.auth.forms import UserCreationForm from django.contrib.auth import login from .models import Travel, TravelPlaceKeeper , TravelType # Create your views here. d...
import sqlite3 from Updater import run_updater print("\t \t \t \t Update your spendings here _|_ \t \t \t \t") dict = {} date = str(input("Enter the date in YY-mm-dd format : ")) dict["DATE"] = date db_loc = r'C:\Users\chand\Documents\P\Projects\Locally_personalised_ads\db\payment_db.db' table_name_1 = "tab1" # Ge...
from nltk.corpus import gutenberg, nps_chat import nltk moby = nltk.Text(gutenberg.words('melville-moby_dick.txt')) print(moby.findall(r"<a><.*><man>")) print(moby.findall(r"<a>(<.*>)<man>")) chat = nltk.Text(nps_chat.words()) print(chat.findall(r"<l.*>{3,}"))
# coin_key = "35ad627a-d583-4961-828e-36eead5e8e3b" coin_key = "9188e46a-558a-4d2c-8496-21c9719ec1d2" secret_key = "235 h sdblfgghf__aghg9843ty fmsa" DATABASE = "data/movimientos.db"
""" Извлекаем из файла images.json вытащенные из гугл-таблицы со статистикой урлы-ссылки на эскизы и сохраняем их в базе. """ import json import os import django os.environ['DJANGO_SETTINGS_MODULE'] = 'edu_test.settings' django.setup() from .models import Student, Task, Image with open('images.json', 'r') as f: ...
from flask import Flask, render_template,request #import flask_mysqldb #from flask_mysqldb import MySQL from similar import similar, similar_papers import pandas as pd app = Flask(__name__) data = pd.read_csv("cite_updated.csv") @app.route("/") def home(): return render_template("home.html") @app.route('/resul...
str = "a b\t c \nd" print(str) list = str.split() print(list) result = "\n".join(list) print(result)
import torch import torchvision import numpy as np import matplotlib.pyplot as plt import os def batch_transform(batch, transform): """把一个batch的样本应用于transform Args: batch (): a batch的样本 transform (callable):用来转换batch samples的 function/transform """ # 以tensor形式将单通道标签转换为RGB # 1. torc...
from django.test import TestCase from django.contrib.auth import get_user_model from django.urls import reverse from rest_framework.test import APIClient from rest_framework import status RESTAURANT_URL = reverse("user:restaurant") CREATE_RESTAURANT_URL = reverse("user:createrestaurant") def create_user(**params):...
import requests import argparse import threading def logo(): print(""" \x1b[32m ____ _ _ ____ _ | __ )| | __ _ ___| | _| _ \(_)_ __ | _ \| |/ _` |/ __| |/ / | | | | '__| | |_) | | (_| | (__| <| |_| | | | |____/|_|\__,_|\___|_|\_\____/|_|_| version:0.2 ================================...
from bref_feature_engineering.rollingavg_seasonlog_teamrecord import teamrecord from bref_feature_engineering.proportion_ip_available import get_games_played, append_proportion_ip_avail celtics_17 = teamrecord("Boston Celtics", 2017) append_proportion_ip_avail(celtics_17, "Boston Celtics") print(celtics_17)
import os import sys import struct import collections import argparse from os.path import exists, join, relpath, isdir from contextlib import contextmanager from typing import Tuple, List from . import mod from . import uassetz MOD_APPID = "346110" DEFAULT_MOD_STORAGE_DIR = "steamapps/workshop/content/" + MOD_APP...
from GeneralPythonCopy.General import General ''' Process for User uploading data: 1. User: uploads files to Website and chooses the y_variable for the regression (discrete occurance) [views.py] 2. Backend: uploaded files go to uploaded_files along with a txt file with the specified y_variable which is acce...
import numpy # we import the array library from matplotlib import pyplot # import plotting library myarray = numpy.linspace(4, 5, 2) print(myarray) a = 5 #a is an integer 5 b = 'five' #b is a string of the word 'five' c = 5.0 #c is a floating point 5 print(type(a)) print...
from app_instance import app from umongo import Document from umongo.fields import StringField, IntegerField, ListField @app.lazy_umongo.register class Movies(Document): name = StringField(required=True, allow_none=False) popularity = IntegerField() director = StringField(required=True, allow_none=False) ...
#!/usr/bin/env python #--------Include modules--------------- from copy import copy import rospy from visualization_msgs.msg import Marker from std_msgs.msg import String from geometry_msgs.msg import Point from nav_msgs.msg import OccupancyGrid from os import system from random import random from numpy import arr...
import random from ac_flask.hipchat import Addon, room_client, addon_client, sender, context from ac_flask.hipchat.glance import Glance from flask import Flask addon = Addon(app=Flask(__name__), key="test-addon", name="Test AddOn", allow_room=True, scopes=['send_...
# Copyright 2022 The HuggingFace Authors. # # 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 applicable law or agreed to...
#jam import sys,os,platform import time import subprocess import multiprocessing import threading import pandas as pd #subprocess.call(["python3","test.py"]) #abc=subprocess.check_output(["python3","test.py"]) # print("abc") # lists=subprocess.Popen(["python3","test.py"],stdout=subprocess.PIPE) # try: # abc=lists.c...
from sys import argv, exit from Tkinter import Tk try: tkObj = Tk() except Exception as e: print "Failed to create the Tkinter object: " + str(e) cssPath = tkObj.clipboard_get() print "The CSS path retrieved from your clipboard is:\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n" + str(cssPath) ...
# # @lc app=leetcode.cn id=77 lang=python3 # # [77] 组合 # class Solution: def combine(self, n: int, k: int) -> List[List[int]]: res = [] self.dfs(n,k,1,[],res) return res def dfs(self,n,k,start,path,res): if k == 0 and path not in res: res.append(path) ret...
class Node: def __init__(self, value, next=None): self.value = value self.next = next class LinkedList: def __init__(self): self.head = None def listprint(self): head = self.head while head is not None: print(head.value) head = head.next ...
from django.http import HttpResponse from django.shortcuts import get_object_or_404 from apps.lib.template import render_to from .item import generate_thumbnail_of_item from .models import Item @render_to('recent.html') def recent(request): items = Item.objects.order_by('-created_at')[:30] return dict(items=i...
#!/usrabin/env pyhton import sys sys.path.append('/usr/local/lib/python3.6/site-packages') # 链家租房 import requests from tools.UserAgent import USERAGENT_LIST from lxml import etree import random import time import re import pymysql import gevent from tools.spider_58 import five_eight from tools.ziru import ZiruSpider c...
## Group members : Myungjin Lee, Krishna Akhil Maddali, Yash Shahapurkar import copy import numpy import random from matplotlib import pyplot as plt inp_file='clusters.txt' f_inp_obj=open(inp_file, 'r') x=[] y=[] for line in f_inp_obj: tmp=line.split(',') if len(tmp)==2: x.append(float(...
name = 'zed a shaw' age = 35 # not a lie height = 74 # inches weight = 180 # lbs height_cm = height * 2.54 weight_kg = weight * 0.453592 eyes = 'blue' teeth = 'white' hair = 'brown' print(f"Let's talk about {name}.") print(f"He's {height} inches tall") print(f"(that's {height_cm} in cm)")# convert to cm print(f"He's {...
# Define here the models for your scraped items # # See documentation in: # http://doc.scrapy.org/topics/items.html from scrapy.item import Item, Field class Etymology(Item): # define the fields for your item here like: entry_word = Field() entry_link = Field() description_word = Field() descripti...
def roundup(k): if k != int(k): k = k // 1 + 1 return int(k) n = int(input()) pakls = [float(inp) for inp in input().split()[:n]] bound = [float(inp) for inp in input().split()] cost = int(input()) unf = len(pakls) loss = 0 for pak in pakls: if not (bound[0] <= pak <= bound[1]): unf -= 1 ...
import random def getElements(): lst = [] for i in range(1,11): lst.append(random.randint(1,20)) return lst lst = getElements() ele1 = int(input("Guess a number in range (1-20) :")) ele2 = int(input("Guess a number in range (1-20) :")) ele3 = int(input("Guess a number in range (1-20) :")) if ele1...
n = int(input().strip()) A = [int(A_temp) for A_temp in input().strip().split(' ')] b=set(A) ans=max(A) c=0 for i in b: if A.count(i)>=2: ans=min(ans,abs((A.index(i))-(len(A)-A[::-1].index(i)-1))) else: c+=1 if(c==len(A)): print(-1) else: print(ans)
# -*- coding: utf-8 -*- """ Created on Sat Nov 16 16:02:55 2019 @author: leona """ #Now from the clean intro and plots we start building the dictionary that will have "index":word, so we have a unique associatioin between a word in the dataset we care about and a number. Obviously we will save it as json file,...
""" grpc test client """ from fastapi import FastAPI from api.services.books import router app = FastAPI(docs_url='/api', openapi_url='/api/openapi.json') app.include_router(router, prefix='/api/book', tags=['book'])
import turtle import winsound import os # For screen clear command wn = turtle.Screen() wn.title("Mini project") wn.bgcolor("black") wn.setup(width = 800, height = 600) wn.tracer(0) #Score score_a = 0 score_b = 0 #Ball ball = turtle.Turtle() ball.speed(0) ball.shape("circle") ball.col...
#!/usr/bin/env python from __future__ import print_function import sys import matplotlib matplotlib.use('Agg') # don't try to use $DISPLAY import matplotlib.pyplot as plt from matplotlib.backends.backend_pdf import PdfPages import matplotlib.gridspec as gridspec import numpy as np import math import operator def setC...
#!/usr/bin/python3 # -*- coding: utf-8 -*- class obere(object): a = 15 def __init__(self): self.zahl = 42 self.a = 4 def fun(self): return 17 def show(self): print(self.a) def delete(self): del self.a def arit(self): self.a = self.a +4 class unt...
from __future__ import with_statement from builderror import BuildError from shermanfeature import ShermanFeature import codecs import os import re import subprocess class Feature(ShermanFeature): @ShermanFeature.priority(90) def sourcesConcatenated(self, locale, moduleName, modulePath): print " ...
from run import db, User username = "Admin" password = "admin123" level = "Admin" db.session.add(User(username,password,level)) db.session.commit()
class ExceptionSignalsBinder: def __init__(self,exception_handler,choose_posts,post_to_group,edit_post,liable_about_view,warning_message,vk_operator): self.__warning_message = warning_message self.__exception_handler = exception_handler self.__liable_about_view = liable_about_view ...
import salem from salem.utils import get_demo_file import xarray as xr import matplotlib.pyplot as plt import pdb import numpy as np from functools import partial from salem import get_demo_file, open_xr_dataset, GeoTiff, wgs84 dat = xr.open_dataarray('/users/global/cornkle/data/pythonWorkspace/proj_CEH/topo/gtopo_1...
print("Welcome to the Shipping Accounts Program\n") ls = ["john","mike","jasmine","george","kelvin"] name = input("Hello, what is your username: ").lower() if name in ls: print("Hello {}. Welcome back to your account.".format(name)) print("Current shipping prices are as follows:") print("Shipping orde...
# Bradley Aiken # roster_fields.py # used with cs176roster.webadvisor.txt # reformat student information from read file old_roster = open("cs176roster.webadvisor.txt", "r") new_roster = open("roster.txt", "w") # 0: name, 1: id, 2: email, 3: major, 4: year, 5: adviser, 6: credits count = 0 for line in old_roster.readl...
from mininet_test.test_monitor import TestMonitor from mininet_test.test_monitor_host import TestMonitorHost
""" Read file into texts and calls. It's ok if you don't understand how to read files. """ import csv with open('texts.csv', 'r') as f: reader = csv.reader(f) texts = list(reader) with open('calls.csv', 'r') as f: reader = csv.reader(f) calls = list(reader) """ TASK 0: What is the first record of te...
import boto3 def lambda_handler(event, context): db = boto3.resource('dynamodb') table = db.Table('Users') with table.batch_writer() as batch: batch.put_item( Item={ 'id': 1, 'name': 'parwiz', 'age': '20' } ) ...
# Copyright 2017 Google Inc. 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 applicable law or a...
from torch import nn import torch import numpy as np class TextLSTM(nn.Module): """ lstm model of text classify. """ def __init__(self, opt): self.name = "TextLstm" super(TextLSTM, self).__init__() self.opt = opt self.embedding = nn.Embedding(opt.vocab_size, opt.embed_...
from django.http import HttpResponse from django.shortcuts import render import datetime # Create your views here. def date_time_view(request, retun=None): date=datetime.datetime.now() s='<h1> The current Data And Time at server is :' +str(date)+'</h1>' return HttpResponse(s)
import pygame from math import sin, cos from random import randint SCREEN_WIDTH, SCREEN_HEIGHT = 650, 650 FPS = 850 BACKGROUND = [ 0 ] * 3 # --- Core --------------------------------------------------------- class FuncDrawer: def __init__(self, x_func, y_func, t_begin, t_end, t_step=0.1, tail=100): self._x_func =...
#!/usr/bin/python # ADB.py # # Functions to manage an AWARE database dictionary # # This file is used to merge a heirarchy of json files used to track AWARE # Imaging System. # # Developed by: Steve Feller on 11/8/2012 # Release Date: # versions: 0.1 # # Functions: # generate(path) - function to generate a dictiona...
from __future__ import absolute_import from agms.agms import Agms from agms.request.invoicing_request import InvoicingRequest from agms.response.invoicing_response import InvoicingResponse from agms.exception.invalid_request_exception import InvalidRequestException class Invoicing(Agms): """ A class represent...
import socket serversocket = socket.socket(socket.AF_NET, socket.SOCK_STREAM) host = socket.gethostbyname() port = 444 serversocket.bind(("192.168.1.104", port)) serversocket.listen(3) while True: clientsocket, address = serversocket.accept() print("received connection from %s " % str(addres...
import warnings warnings.filterwarnings('ignore') from datasetup.utils import * from datasetup.data_preprocessing import filterPAR, getPoints from datasetup.data_segmentation import * data_file = 'exported/Cleaned_Dataset.csv' """ User Input Declaration: 1. filter_mode = 0 (Don't filter); 1 (Filter TC that pas...
#!/bin/env """ Script that generates body_synapse file using specified annotation datatype with synapes. lau, 01/16 first version of script example: python generate_body_synapses_dvid.py emdata1:8500 44d42 bodies3_annotations mb6_synapses annotations body_synapses_test """ # ------------------------- imports ----...
import os import json from datetime import datetime from random import shuffle from flask import Flask, session, redirect, url_for, request, render_template, jsonify # Custom .py import helper.helper as helper import riddles.riddle as riddle app = Flask(__name__) app.config['SECRET_KEY'] = os.environ.get("SECRET_KEY...
from general.utils import MyTask import numpy as np class Classifier(MyTask): def createmodel(self, inputsize, outputsize, update_model=False): tmpsample=np.array([np.zeros(inputsize)]) newshape=self._reshape(tmpsample).shape[1:] return self._createmodel(newshape, outputsize,update_model=up...
# -*- coding: utf-8 -*- """ Created on Fri Oct 16 11:11:23 2020 @author: Administrator """ import os path = r'C:\Users\Administrator\Desktop' os.chdir(path) name = 'rsrp_grid50' with open('rsrp_grid_09.sql',encoding ='utf-8') as f: content = f.readlines() for i,line in enumerate(content): if 'SET F...
from django.contrib import admin from .models import Winery, Wine, Grape, County, Comment # Register your models here. admin.site.register(Winery) admin.site.register(Wine) admin.site.register(Grape) admin.site.register(Comment)
from opentrons import protocol_api metadata = {'apiLevel': '2.2', 'protocolName': 'Clip Template v2', 'author': 'Gabrielle Johnston', 'description': 'DNABot updated clip template'} def run(protocol: protocol_api.ProtocolContext): def clip( prefixes_wells, ...
# Copyright 2021 Google # # 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 applicable law or agreed to in writing, softw...
def reduce(polymer): changed = True #print(''.join(polymer)) while changed: changed = False i = 0 while i < len(polymer) - 1: if abs(ord(polymer[i]) - ord(polymer[i+1])) == 32: del polymer[i:i+2] changed = True else: ...
fi = open("somecode.txt", 'r') print('hi') for line in fi.readlines(): for symbol in line: if symbol == '(': print('[', end = '') elif symbol == ')': print(']', end='') else: print(symbol, end='')
#!/usr/bin/env python -W ignore::DeprecationWarning """ Grasp Metrics for EE106B grasp planning lab Author: Chris Correa """ # may need more imports import numpy as np from lab2.utils import vec, adj, look_at_general, hat import cvxpy as cvx import math import scipy def compute_force_closure(vertices, normals, num_fac...
# Generated by Django 2.1.5 on 2019-04-02 01:40 import datetime from django.db import migrations, models import django.db.models.deletion from django.utils.timezone import utc class Migration(migrations.Migration): dependencies = [ ('ticketingApps', '0011_auto_20190401_1845'), ] operations = [ ...
from django.shortcuts import render from django.http import HttpResponse, HttpResponseRedirect from ..models import * from datetime import datetime # Create your views here. def index(request, text): user = request.user testString = 'auth.patient' in user.get_all_permissions() if not testString: ...
#!/usr/bin/python # -*- coding: utf-8 -*- #vim: set enc=utf8: # More elaborate GUI-operations # Supporting the AutoIT syntax would be nice from .interact import Emulate, Screen import os class ScriptFiles: """A class for managing the directory with scripts. The name of the script is the same as the filename....
import pandas as pd from matplotlib import pyplot as plt import numpy as np from PIL import Image as Img from PIL import ImageTk as imgtk import os class DataProcessing(object): def __init__(self, data): self.data = data def get_datetime_from_twelve(self): data = pd.DataFrame(self.data) ...
lotteryPlayer ={ 'name' : 'jeffy', 'numbers':(5,9,7,8,6) } class LotteryPlayer: def __init__(self, name): self.name = name self.numbers = (5,9,8,9,7) def total(self): return sum(self.numbers) # Instance or creating an object of LotteryPlayer # Object oriented programming play...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # Copyright (C) 2016 Bitergia # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 3 of the License, or # (at your option) any later ...
""" Given a list of words, list of single letters (might be repeating) and score of every character. Return the maximum score of any valid set of words formed by using the given letters (words[i] cannot be used two or more times). It is not necessary to use all characters in letters and each letter can only be used ...
import glooper_python_swig_wrap as glooper import rng_python_swig_wrap as rng M = glooper.Market() U = rng.UniformGenerator() P = rng.ParetoGenerator(10000,1.3) N = rng.NormalGenerator() G = glooper.ClassicAgentGenerator(U,N,P,U,U,M,10) AP = glooper.AgentPopulation(U,G)
import os import sys sys.path.append(os.path.abspath(os.path.join(os.getcwd(), os.pardir))) import matplotlib.pyplot as plt import numpy as np from sklearn import preprocessing from sklearn.manifold import TSNE from neural_network.Dataset import FullDataset from neural_network.SNN import initialise_snn from configu...
#!/usr/bin/env python from multiprocessing.dummy import Pool import socket, hashlib, argparse, re, textwrap, sys, select ''' TODO - generate random AUTHENTICATOR - fuzzing? ''' class bcolors: HEADER = '\033[95m' OKBLUE = '\033[94m' OKGREEN = '\033[92m' WARNING = '\033[93m' FAIL = '\033[91m' ...
''' Your function should take in a single parameter (a string `word`) Your function should return a count of how many occurences of ***"th"*** occur within `word`. Case matters. Your function must utilize recursion. It cannot contain any loops. ''' def count_th(word): sub_str = 'th' n1 = len(word) n2 = 2...
from projects.golem_api.pages import auth def test_get_token(data): response = auth.get_token_request(data.env.users.admin.username, data.env.users.admin.password) assert response.status_code == 200 assert type(response.json()) is str def test_get_token_with_incorrect_password(data): response = auth...
""" libspecinfra-python ---- Python bindings for libspecinfra """ __version__ = '0.0.1' import sys import ctypes import os import libspecinfra.resource from libspecinfra.structures import SpecinfraS, BackendWrapperS library = None def load(): global library if library is None: libdir = os.path.dir...
import numpy as np from tkinter import * from tkinter.filedialog import askopenfilename import cv2 import consts from keras.models import load_model from data import Data from PIL import Image, ImageTk model = load_model('trashnet.h5') root = Tk() PATH = StringVar() CATIGORY = StringVar() def browsefunc(): ...
class ParsingError(Exception): def __init__(self, token): self.errorToken = token def __str__(self): return "Parsing error at line {}".format(self.errorToken.lineNumber) @classmethod def raises(cls, tok): raise cls(tok)
# -*- coding: utf8 -* from django.db import models class FileDescriptor(models.Model): name = models.CharField(max_length=255) path = models.FileField(upload_to='%Y/%m/%d') description = models.CharField(max_length=255, blank=True, null=True) tag = models.CharField(max_length=255, blank=True, null=True) type = m...
import os, sys, math import ply.lex as lex import ply.yacc as yacc tokens = [ # List of token names 'INT', 'FLOAT', 'NAME', 'PLUS', 'MINUS', 'DIVIDE', 'MULTIPLY', 'EQUALS', 'R_PARENTHESIS', 'L_PARENTHESIS', 'DELIMITER' ] literals = [ '{', '}' ]
import numpy as np import cv2 import cv from Gen import Gen class Osc(Gen): def __init__(self, name): Gen.__init__(self, name) self.attrs['freq'] = 220.0 self.attrs['phase'] = 0.0 self.attrs['sync'] = 2.0 def update_attrs(self, updates = {}): for attr_type in updat...
""" A permutation of an array of integers is an arrangement of its members into a sequence or linear order. For example, for arr = [1,2,3], the following are considered permutations of arr: [1,2,3], [1,3,2], [3,1,2], [2,3,1]. The next permutation of an array of integers is the next lexicographically greater permutatio...
from testflows.core import * from testflows.asserts import error from rbac.requirements import * from rbac.helper.common import * import rbac.helper.errors as errors @TestSuite def describe_with_privilege_granted_directly(self, node=None): """Check that user is able to execute DESCRIBE on a table if and only if ...
#!/usr/bin/python # coding: utf-8 try: import cPickle as pickle except ImportError: import pickle import threading import os import sys import ConfigParser import base64 import logging import json import time from subprocess import Popen from subprocess import PIPE from cement.core import foundation from dc.Event...
from django.db import models class Pokemon(models.Model): name = models.CharField(max_length=200, unique=True, blank=False) pokemon_id = models.IntegerField(unique=True, blank=False, primary_key=True) weight = models.IntegerField(default=0) height = models.IntegerField(default=0) hp = models.Intege...
from flask import request, render_template from flask_socketio import emit from datetime import datetime from . import data_holder from .app import app, socket def _broadcast(payload : dict): emit('emit', payload, broadcast=True, namespace='/') def _emit(payload : dict): emit('emit', payload, broadcast=False...
from flask import Flask, render_template, request import json import os import psycopg2 application = Flask(__name__) STATIC_PATH = os.path.dirname(os.path.abspath(__file__)) + "/static" conn = psycopg2.connect( user=os.environ.get("PGUSER"), host=os.environ.get("PGHOST"), port=os.environ.get(...
from enum import Enum from sqlalchemy import Column, Integer, String from sqlalchemy_utils.types import URLType from upload.db.base_class import Base class FileStatusEnum(str, Enum): """ Перечисление доступных статусов для файла """ new: str = "new" in_queue: str = "in queue" finished: str = "finis...
# Generated by Django 2.1.5 on 2019-02-13 03:45 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('users', '0001_initial'), ] operations = [ migrations.AlterField( model_name='profile', name='bio', field...
""" Recommendations Engine =============== Business Objective: To recommend applications to users that they might find useful in their everyday objectives Website Link: https://github.com/aml-development/ozp-documentation/wiki/Recommender-%282017%29 Data that could be used for recommendations - Listing Bookmarked - K...
import base64 import logging import re import shlex import subprocess from email.headerregistry import Address from typing import Optional import orjson from django.conf import settings from django.http import HttpRequest, HttpResponse from django.utils.translation import gettext as _ from zerver.decorator import aut...
# @Time : 2021/2/1 11:42 下午 # @Author : Xingyou Chen # @File : linklist_postorder.py # @Software: PyCharm class linknode(): def __init__(self, value): self.data = value self.next = None def create_link(li): head = linknode(li[0]) now = head for i in li[1:]: now.next = linknode...
# Generated by Django 2.2.6 on 2019-10-17 14:53 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('picker', '0005_auto_20190331_1043'), ] operations = [ migrations.AddField( model_name='credential', name='extractor_u...
from web3 import Web3 from web3.utils.encoding import to_hex import time w3 = Web3(Web3.HTTPProvider('http://localhost:8545')) filter = w3.eth.filter('latest') while True: for blk_hash in filter.get_new_entries(): block = w3.eth.getBlock(blk_hash,True) for tx in block.transactions: print(...
""" Reads mail templates into memory and provides functions to format them. """ with open('mail_templates/verification_html.txt', 'r') as f: _verification_mail_html = f.read() with open('mail_templates/verification_plain.txt', 'r') as f: _verification_mail_plain = f.read() def format_verification_mail_html(...
from django.shortcuts import render from django.http import HttpResponse from todo.models import Todo # Create your views here. def home(request): if request.method == 'POST': todo = request.POST['todo'].strip() priority = request.POST['priority'].strip() Todo.objects.create(todo=todo, priority=priority) els...
#!/usr/bin/env python from optparse import OptionParser from tracker_module import * from predict import * from tracker_gui import * import sys if __name__ == '__main__': #--------START Command Line option parser------------------------------------------------ usage = "usage: %prog -a <Server Address> -p <Se...
from architecture.service_structure import ServiceStructure from interaction.chatbots.minuteur_chatbot import MinuteurChatBot from interaction.recognition import RecognitionStates import base64 import time import threading class ConversationStates: ANSWER_FOUND = "Answer found" ANSWER_NOT_FOUND = "Answer not...
import requests from base64 import b64encode from color import Color import string import random images = 10 size = 64 types = ['jpeg', 'png', 'gif'] file_path = "../js/photos.js" chars = string.ascii_letters + string.digits def gen_id(length = 2, chars = chars): return ''.join(random.choice(chars) for x in range...
from win32api import GetKeyState, mouse_event from win32con import MOUSEEVENTF_WHEEL def key_down(key): keystate = GetKeyState(key) if (keystate==0) or (keystate==1): return 0 else: return 1 def scroll_wheel_forward(x,y): if mouse_event(MOUSEEVENTF_WHEEL,x,y) > 0: return 1 ...