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import sys import pygame from pygame.sprite import Group from common.Settings import Settings from common.ship import Ship from common.zidan import Zidan from common.wxr import Wxr def check_event(ship,setvar,screen,zidans): """捕捉键盘和鼠标事件""" for event in pygame.event.get(): if event.type == pygame.QU...
import cv2 cam = cv2.VideoCapture(0) fourcc = cv2.VideoWrite_fourcc(*'XVID') out = cv2.VideoWrite('my_cam_vis.avi',fourcc, 20.0, (640, 480)) while True: ret, img = cam.read() cv2.imshow('my_cma', img) out.write(img) if cv2.waitKey(10) == 27: break cam.release() out.release() cv2.destroyAllWindo...
#!/usr/bin/env python3 # ============================================================================ # File: featprint # Author: Erik Johannes Husom # Created: 2019-12-05 # ---------------------------------------------------------------------------- # Description: # Save feature importance as numpy arrays. # ==...
#!/home/linus/PycharmProjects/flask/bin/python2.7 import os,unittest from flaskr.models import User,Post,Comment,Like from config import basedir from flaskr import app,db from flaskr.appviews import uniqueMail from datetime import datetime,timedelta class TestCase(unittest.TestCase): def setUp(self): app.co...
# Generated by Django 2.0 on 2020-03-08 07:09 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('account', '0011_headman'), ] operations = [ migrations.AddField( model_name='headman', name='group', field...
from django.contrib import admin from .models import Employee # Register your models here. @admin.register(Employee) class EmployeeAdmin(admin.ModelAdmin): list_display = ('employee_ID','first_name','last_name','email','contact','address','manager_ID','department_ID','hire_date','is_active')
import math class Health_Kit(): def __init__(self,x_position,starting_point, health, velocity): self.x_position = x_position self.y_position = starting_point self.starting_point = starting_point self.health = health self.velocity = velocity self.frequency = ...
from __future__ import absolute_import # Copyright (c) 2010-2019 openpyexcel from .worksheet import Worksheet
def readStyle(): with open('src/style.qss', 'r', encoding='UTF-8') as style: return style.read()
import flask import json from schemainspect import get_inspector from sqlalchemy.ext.declarative import declarative_base from sqlbag import Base Model = declarative_base(cls=Base) def selectables(s): i = get_inspector(s) names = [_.name for _ in (i.selectables.values())] return names class Response(fl...
# -*- coding: utf-8 -*- import threading import ali_speech from ali_speech.callbacks import SpeechSynthesizerCallback from ali_speech.constant import TTSFormat from ali_speech.constant import TTSSampleRate class MyCallback(SpeechSynthesizerCallback): # 参数name用于指定保存音频的文件 def __init__(self, name): self._...
# -*- coding: utf-8 -*- """ Created on Thu Oct 4 14:33:36 2018 @author: bramv """ import numpy as np import matplotlib.pyplot as plt import calendar import calculate_geostrophic_wind as gw import read_cabauw_data as r import settings as s year = 2016 for i in range(11, 12): months = [i-1, i] if i > 1 else [12, ...
# Generated by Django 3.2 on 2021-04-30 07:41 from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ('courses', '0016_auto_20210430_1540'), ] operations = [ migrations.AddField( model_name='test', ...
CODE_DIR = 'C:/Users/mmall/Documents/github/repler/src/' SAVE_DIR = 'C:/Users/mmall/Documents/uni/columbia/multiclassification/saves/' import os, sys, re import pickle sys.path.append(CODE_DIR) import torch import torch.nn as nn import torchvision import torch.optim as optim import numpy as np import matplotlib.pypl...
import datetime import flask_testing from sqlalchemy import desc from monolith.app import create_app from monolith.database import Story, User, db, ReactionCatalogue, Counter from monolith.forms import LoginForm, StoryForm from monolith.urls import * class TestTemplateStories(flask_testing.TestCase): app = None...
# Generated by Django 2.1.7 on 2019-03-22 20:12 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('equipaments', '0008_clients_date'), ] operations = [ migrations.AddField( model_name='clients', name='planos', ...
#!/usr/bin/Python # -*- coding: utf-8 -*- import uiautomator2 as ut2 ip_list =['10.2.8.138:7912','10.2.8.113:7912','10.2.8.34:7912'] url = 'http://10.0.4.14:9257/dev/android_cn/' #apkName = 'snqz_banshu_0.0.0.008_1711071629.apk' apkName ='snqz_test_0.0.0.013_1801241755.apk' pack_name = ['com.jingmo.snqz','com.snqz.unio...
#!/usr/bin/env python import collections import socket import struct import sys import json import time MCAST_ADDR = "224.1.1.1" MCAST_PORT = 5008 MULTICAST_TTL = 8 PAUSE = 0 PLAY = 1 JUMPTO = 2 GOTOURL = 3 if sys.platform == "win32": import os, msvcrt msvcrt.setmode(sys.stdin.fileno(), os.O_BINARY) msv...
from lib.base import BaseGithubAction from lib.formatters import repo_to_dict __all__ = [ 'GetRepoAction' ] class GetRepoAction(BaseGithubAction): def run(self, user, repo, base_url): if base_url == None: self._reset(user) else: self._reset(user+'|'+base_url) u...
from ..main import utils def test_mac_os(): os = 'mac_os' res = utils.get_user_details(os) assert res['name'] == 'Chris' assert res['surname'] == 'Mipi' def test_windows(): os = 'windows' res = utils.get_user_details(os) assert res['name'] == 'Makhabane' assert res['surname'] == 'M...
number = 3 tries = 0 guess = int(input("Guess a number")) for tries in range (0, 2): if number > guess: guess = int(input("Guess higher")) elif number < guess: guess = int(input("Guess lower")) print ("the correct number is 3")
# declare tuple of names and print nametuple = ("Joe", "Sally", "Liam", "Robert", "Emma", "Isabella") print("Contents of nametuple is: ", nametuple) # tuple items can be accessed via [] operator # note that index in [] is zero based print("Tuple element at index 1: ", nametuple[1]) # index to access tuple can be nega...
USAGE=""" Creates the heuristic hybrid index given a threshold argument. """ import pandas as pd import numpy as np import argparse, os, logging, sys import dev_capacity_calculation_module if os.getenv('USERNAME') =='ywang': M_DIR = 'M:\\Data\\Urban\\BAUS\\PBA50\\Draft_Blueprint\\Base z...
while True: try: list_num = int(input()) list_ = input().split() sort_ = int(input()) lise_new = list_[:list_num] if sort_: list_ = sorted(list_,reverse=True) else: list_ = sorted(list_) print(" ".join(list_)) except: ...
import proxmox_api import rpyc import ec2_functions import sys import getpass import multiprocessing class EC2Service(rpyc.Service): def on_connect(self, conn): # code that runs when a connection is created # (to init the service, if needed) pass def on_disconnect(self, conn): ...
#Q1 olympics=( 'Beijing', 'London', 'Rio', 'Tokyo') #Q2 tuples_lst = [('Beijing', 'China', 2008), ('London', 'England', 2012), ('Rio', 'Brazil', 2016, 'Current'), ('Tokyo', 'Japan', 2020, 'Future')] country=[] for list in tuples_lst: country.append(list[1]) #Q3 olymp = ('Rio', 'Brazil', 2016) cit...
import cv2 import numpy as np class NeuralNet: SIGMOID, TANH = 0, 1 activation_map = [staticmethod.sigmoid_activation, staticmethod.tanh_activation] '''For now, I assume all the hidden layers have the same amount of neurons (n_hidden)''' def __init__(self, n_hidden_layers=1, n_input=2, n_output=2, ...
str = "sumit sudalkar" print(str.capitalize()) str1 = "PYTHON NEED MORE PRACTICE" a = str1.casefold() print(a) str2 = "It is example of count, count the number of string" b = str2.count("count") print(b) str3 = "Align" c = str3.center(30) print(c) str4 = "Working on Python" x = str4.encode() print(...
# Generated by Django 3.1.4 on 2021-11-12 08:25 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('Quiz', '0002_host_create...
import os from abc import ABC, abstractmethod class base_sanitizer(): def __init__(self, ql): self.ql = ql @property @staticmethod @abstractmethod def NAME(): pass @abstractmethod def enable(self): pass def verbose_abort(self): self.ql.os.emu_error() ...
#from .alexnet import AlexNet #from .lenet import LeNet5 #from .mobilenet_v2 import MobileNetV2 #from .mobilenet_v3 import MobileNetv3 #from .regnet import RegNet #from .resnest import ResNeSt #from .resnet import ResNet, ResNetV1d #from .resnet_cifar import ResNet_CIFAR #from .resnext import ResNeXt #from .seresnet im...
#!/usr/bin/env python3 # -*- coding:UTF-8 -*- import sys sys.path.append("../common/") # 将其他模块路径添加到系统搜索路径 import numpy as np import tensorflow as tf import time from sklearn.base import BaseEstimator, ClassifierMixin from sklearn.exceptions import NotFittedError from sklearn.metrics import accuracy_score, f1_score from...
import smbus i2c_bus = smbus.SMBus(1) DEVICE_ADDRESS = 0x08 DISABLE = 2147483647 ENABLE = 2147483646 def send_step(n): i2c_bus.write_block_data(DEVICE_ADDRESS, 0x00, list(n.to_bytes(4, byteorder='big'))) def step_enable(enable): send_step(enable*ENABLE or DISABLE) def main(): step_enable(False) ...
from django.db import models from django.utils import timezone class Note(models.Model): class Meta: ordering = ['must_complete_before'] author = models.ForeignKey('auth.User') task = models.CharField(max_length=40) create_date = models.DateTimeField(default=timezone.now) must_complete_bef...
from django.http import HttpResponse from django.views.decorators.csrf import csrf_exempt from subprocess import call import pyrebase, json, requests @csrf_exempt def echo(req): fileUrl = str(req.POST['fileUrl']) config = { "apiKey": "AIzaSyDCUr8ng_lqfuwHEzOTE-yF2mbarPpBm5M", "authDomain": "boba-eecca.fireb...
import abc class Base(abc.ABC): @classmethod @abc.abstractmethod def factory(cls, *args): return cls() @staticmethod @abc.abstractmethod def const_behavior(): return 'Should never reach here' class Implementation(Base): def do_something(self): pass @classm...
""" In this problem, median is defind below: the median of a set S of n integers = the ceil(n / 2)-th smallest element in S Task is to find the median in any arrays. Naive algorithm: O(nlogn) Median of the medians algorithm: O(n) """ from math import ceil def select(arr, k): if not arr or k < 0 or k >= len(ar...
from rookcore import web_server from rookcore.reactive import * from . import web_server_common class MyHandler(web_server.Handler, web_server_common.ServerIface): async def run(self, websocket): await self.run_rpc(websocket, root_obj=self) @classmethod def get_user_code(self): return [ ...
from __future__ import absolute_import # ///////////////////////////////////////////////////////////////////////////// # Bundle property O-R mapping classes # see Conf() docstring # ///////////////////////////////////////////////////////////////////////////// import splunk import splunk.auth as auth import splunk.en...
from django.db import models # Create your models here. # as classes serão criadas aqui # code first - fazer o código primeiro e depois gerar o bd em uma aplicação # python utiliza o code first # o models é a herança de tudo que tem de Model no django class Pessoa(models.Model): nome = models.CharField( ...
s=input("请输入字符串"); sub="abba"#sub="bob"; start=0; len_sub=len(sub); num=0; len_s=len(s); while(start+len_sub-1<len_s): num+=s.count(sub,start,start+len_sub); start+=1; print("Number of times bob occurs is:") print(num);
class NumberGuesser: def guess(self, leftOver): for a in range(1, 9999): bList = self.getPossibleB(a) for b in bList: if a > b: c = a - b c = str(c) while '0' in c: c = self.removeDigit(c, '0') valid = True for x in leftOver: if x != '0': if x in c: c = s...
from django.contrib import admin from SmartSuperHero.models import Doctor, Patient, GenericQuestion, Question, Report # Register your models here. admin.site.register(Doctor) admin.site.register(Patient) admin.site.register(GenericQuestion) admin.site.register(Question) admin.site.register(Report)
# lista = [] # n = int(input()) # input_strings = input("Numerele tale:") # input_strings = input_strings.split() # for i in range(len(input_strings)): # lista.append(int(input_strings[i])) # quick sort -> algoritm divide et impera # alegi un pivot si pui numerele mai mici decat pivotul in stanga si pe cele ma...
# Imports import random import numpy as np from sklearn.metrics import confusion_matrix, auc def one_hot_dna(seq, exp_len): ''' One-hot encodes DNA sequence data. Parameters ---------- seq : list Input list of DNA sequences (str). exp_len : int Expected length of output se...
from django.contrib import admin from .models import user_mailcompose_tb,user_mailsave_tb,contacts_tb,user_hobby # Register your models here. admin.site.register(user_mailcompose_tb) admin.site.register(user_mailsave_tb) admin.site.register(contacts_tb) admin.site.register(user_hobby)
import scrapy import time import datetime import re import json from REI.scraper import get_ajax_url from REI.scraper import get_price_history from bs4 import BeautifulSoup from REI.crawl import gen_urls from random import randint from scrapy.http.request import Request from scrapy.contrib.spiders import CrawlSpider, R...
from django.shortcuts import render,render_to_response from django.contrib.auth import authenticate, login, logout from django.contrib import messages from .forms import loginUser, registerUser from django.contrib.auth.models import User,Group from django.contrib.auth import logout from django.core.exceptions import Ob...
import logging import json from datetime import datetime from moxie.core.service import Service from moxie.core.kv import kv_store from moxie_food.domain import Meal logger = logging.getLogger(__name__) KEY_MEAL = 'meals' KEY_UPDATED = 'last_updated' class FoodService(Service): def __init__(self, providers=...
from abstractcomponent import AbstractComponent from b_text_block import BTextBlock from ..gui_settings import * from ...settings import * class THeroHud(AbstractComponent): def __init__(self,x,y,hero): AbstractComponent.__init__(self,x,y,100,1000) self.hero = hero self._build_hud() d...
import cv2 import numpy as np import matplotlib.pylab as plt from tkinter import * from tkinter import filedialog root = Tk() img1 = cv2.imread(filedialog.askopenfilename(title='multi-select images', initialdir='C:/Users/', filetypes=(('jpg files...
import numpy as np from sklearn import neighbors from sklearn.preprocessing import MinMaxScaler import pandas as pd import os class PredictionModel: def __init__(self): cur_dir = os.path.abspath(__file__) cur_dir = os.path.dirname(cur_dir) data = pd.read_csv(f'{cur_dir}/data.csv') ...
from rest_framework.permissions import BasePermission class UsersPermission(BasePermission): # Listado de usuarios: solo lo puede ver un usuario administrador (y por lo tanto autenticado) # Creación de usuarios: cualquier usuario # Detalle de usuario: los admin puede ver cualquier usuario, usuarios auten...
from django.contrib import admin import os import time from images.models import Video, Album, TFModel from images.tasks import new_model # Register your models here. def close_album(modeladmin, request, queryset): queryset.update(status='c') def open_album(modeladmin, request, queryset): queryset.update(stat...
from typing import Iterator, Iterable, Tuple, Sized, Union from elasticsearch import Elasticsearch from collections import OrderedDict import math import numpy as np import gzip import json import csv def read_json(data_file: str) -> Iterator: """read_json reads the content of a JSON-line format file, which has a...
#!/usr/bin/env python # -*- coding:utf-8 -*- key_value_list = [] def output_value(jsons, key): """ 通过参数key,在jsons中进行匹配并输出该key对应的value :param jsons: 需要解析的json串 :param key: 需要查找的key :return: """ key_value = "" key_value_list1 = [1,2,3] if isinstance(jsons, dict): for json_resul...
# Yunlu Ma ID: 28072206 import tkinter import get_point import P5_logic import set_dialogs class Start_game: # This Class used to build the first root window with a button of "Start Game" # and run the game def __init__(self): # The __init__() fuction builds the tk...
# -*- coding: utf-8 -*- # Generated by Django 1.9.6 on 2016-05-13 12:23 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependen...
#!/usr/bin/env python # -*- coding: utf-8 -*- import numpy as np import netCDF4 __author__ = 'kmu' """ Retrieve data from netcdf files from thredds.met.no or \hdata\grid. """ def _nc_info(nc_data): print('### DIMENSIONS ###') print(nc_data.dimensions) for k in nc_data.dimensions.keys(): print("-\...
# coding=utf-8 # Copyright 2020 The TF-Agents 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable la...
"""Models and database functions for project""" from flask_sqlalchemy import SQLAlchemy from sqlalchemy.orm import joinedload import datetime # This is the connection to the PostgreSQL database; we're getting this through # the Flask-SQLAlchemy helper library. On this, we can find the `session` # object, where we do ...
import torch.nn as tn import torch.nn.functional as tnf import torch.utils.data as tud import torch.utils.data.dataloader as tuddl import torch.utils.data.dataset as tudds import torch.autograd.variable as tav import torchvision import torchvision.transforms as tvt class SiameseNetwork(tn.Module): def __init__(se...
#basket에서 인형을 삭제할지 판단하는 함 def determinator(answer, basket): if(basket[-1] == basket[-2]): basket.pop() basket.pop() answer += 2 return answer else: return answer #각각의 칸에서 가장 높은 곳에 있는 인형을 찾는 함수 def find_top(board, m): for height in range(len(board)): if board...
import linecache def client_id(): file = open('id.txt', 'r') second_line = linecache.getline('id.txt', 1) actual_line = second_line.strip() file.close() return actual_line def secret_id(): file = open('id.txt', 'r') second_line = linecache.getline('id.txt', 2) actual_line = s...
from hed.schema.hed_schema_constants import HedKey import copy class HedTag: """ A single HED tag. Notes: - HedTag is a smart class in that it keeps track of its original value and positioning as well as pointers to the relevant HED schema information, if relevant. """ def __init_...
import turtle def circle(): while turtle.heading() < 359: turtle.forward(1) turtle.left(1) turtle.left(1) def poly(r, teta): n = 360 / teta while n > 0: n = n - 1 turtle.forward(r) turtle.left(teta) n = 10 while n > 0: n = n - 1 poly(10, 30) turtle....
import requests from bs4 import BeautifulSoup import matplotlib.pyplot as plt import time URL = 'https://www.gismeteo.ru/' plt.ion() fig, ax = plt.subplots() temp_data = [] time_data = [] start_time = time.time() first_time = True while (1): if (time.time() - start_time >= 60 or first_time): first_time = False ...
from django.db import models from django.contrib.auth.models import User # Create your models here. class Post(models.Model): user = models.ForeignKey(User, on_delete=models.PROTECT) text = models.CharField(max_length=400, blank=True, null=False) image = models.ImageField(upload_to='images/') created_a...
#Guessing Game import random game_over = False SECRET = random.randint(1,100) # modes = {"easy":10,"hard":5} print(SECRET) print('Welcome to the Guessing Game') MODE_CHOICE = input("'easy' or 'hard'? :").lower() remaining_guesses = modes[MODE_CHOICE] print('Guess the right number between 1-100 to win') def guess(): ...
from django.apps import AppConfig class IntraTypeDataConfig(AppConfig): name = 'intra_type_data'
import importlib import os import pickle from pytracking.evaluation.environment import env_settings class Tracker: """Wraps the tracker for evaluation and running purposes. args: name: Name of tracking method. parameter_name: Name of parameter file. run_id: The run id. """ def...
# # Comparison between different number of grid points in mesh # import pybamm from tec_reduced_model.set_parameters import set_thermal_parameters pybamm.set_logging_level("INFO") # Define TDFN with a lumped themral model model = pybamm.lithium_ion.DFN( options={ "thermal": "lumped", "dimensiona...
import datetime from pychesscom.clients.base_client import BaseClient from pychesscom.utils.response import Response from pychesscom.utils.route import Route class Player: """ Class for handling endpoints of player information. Args: client(BaseClient): HTTP client for API requests """ d...
#coding:utf-8 from struct import pack,unpack import numpy as np class MecanumBase(): def __init__(self): self.dir=[] self.v=0 self.av=0 self.t1=0 self.t2=0 def __encode__(self,vel,angle,angle_v,angle_vd): if vel<0: vel = 0 vel = int(ve...
#Addison, due to limitations in my knowledge, we have to settle with this display class. All this does is give a specific entry from the nested "allTime" list. #The class requires three variables: the huge nested list from the calInputClass, which will be unpacked. #The week number, starting from 0, and the weekday n...
from django.db import models from apps.users.models import * from django.shortcuts import reverse from apps.users.models import Student class Status(models.Model): title=models.CharField(max_length=100); slug=models.SlugField(max_length=255) def __str__(self): return self.title #relation containg...
''' q1 with语句适用于对资源进行访问的场合,确保不管使用过程中是否发生异常都会执行必要的"清理"工作 主要用于释放资源 比如说:文件适用后的自动关闭;线程中锁的自动获取和释放 ''' f = open('files/readme.txt','r') data = f.read() print(data) f.close() ''' 这么写存在两个问题: 1、没有关闭文件 2、即使关闭了文件,但在关闭之前如果抛出异常,仍然会无法关闭文件 ''' f = open('files/readme.txt','r') try: data = f.read() except: print('抛出异常') # 防止了第...
from aws_lambda_typing.events import SNSEvent def test_sns_event() -> None: event: SNSEvent = { "Records": [ { "EventVersion": "1.0", "EventSubscriptionArn": "arn:aws:sns:us-east-2:123456789012:sns-lambda:21be56ed-a058-49f5-8c98-aedd2564c486", # noqa: E501 ...
import numpy as np import pandas as pd from collections import deque import matplotlib # matplotlib.use('TkAgg') import matplotlib.pyplot as plt def len_reg(x,y): n = len(x) sigma_x = np.sum(x) sigma_xsq = np.sum(x ** 2) sigma_y = np.sum(y) sigma_xy = np.sum(x * y) A = np.array([[n, sigma_x], [s...
from GameObject import GameObject import pygame class Hole(GameObject): def init(): #Loading and scaling player image Hole.image = pygame.image.load('images/mousehole.png').convert_alpha() #Using the super (gameobject) init and update def __init__(self, x, y, rows): self.ro...
import numpy as np import cv2 from train import train from sklearn.neighbors import NearestNeighbors COLORS = np.random.random_integers(0, high=255, size=(100, 3)) def foot(rect): x, y, w, h = rect pad_w, pad_h = int(0.15*w), int(0.05*h) return (x+w/2,y+h-pad_h) def draw_map(img, circles): r = 10 for circle in ...
# Author Emily Wang #!/usr/bin/env python # coding: utf-8 #import anal_util from ajustador/FrontNeuroinf import sys import os import numpy as np import pandas as pd import glob import scipy import sklearn as sc #import the random forest classifier method from sklearn.ensemble import RandomForestClassifier from sklearn...
# project/api/views.py from flask import Blueprint, jsonify, request from project.api.models import User, Kanji, Entry, Reading, ReadingInfo, Meaning from project import db from sqlalchemy import exc users_blueprint = Blueprint('users', __name__) @users_blueprint.route('/ping', methods=['GET']) def ping_pong(): ...
#!/usr/bin/env python3 # # A mobility class for Levy walk. # Copyright (c) 2011-2015, Hiroyuki Ohsaki. # All rights reserved. # # Id: LevyWalk.pm,v 1.11 2015/12/09 14:45:23 ohsaki Exp $ # import random import math from dtnsim.mobility.rwp import RandomWaypoint from vector import Vector as V def pareto(scale, shape):...
from bottle import route, run, template import requests import os from subprocess import Popen # startup react-markup-server Popen('npm start >& react-markup-service.log', shell=True, stdin=None, stdout=None, ...
# from code_challenges.linkedList.linked_list import * class Node: def __init__(self,value): self.value = value self.next = None class LinkedList: def __init__(self, head = None): self.head = head def append(self,value): currnet = self.head prev = None ...
from source.attribute_grouper import AttributeGrouper from source.dataframe_splitter import DataframeSplitter from source.dataframe_monthwise_splitter import DataframeMonthwiseSplitter from source.month_attribute_grouper import MonthAttributeGrouper def generate_attribute_grouper_data(): attribute_grouper = Attri...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models def upload_handler(instance, filename): return 'upload_license{}/{}'.format(instance.user.id, filename) class UploadLicense(models.Model): file = models.ImageField(upload_to='upload_license/')
# Ghiro - Copyright (C) 2013-2016 Ghiro Developers. # This file is part of Ghiro. # See the file 'docs/LICENSE.txt' for license terms. from django.db.models import Q from hashes.models import List from lib.analyzer.base import BaseProcessingModule try: import hashlib IS_HASH = True except ImportError: IS...
import atexit import json import logging import os from datetime import datetime from typing import Any, Dict, List, Optional from apscheduler.schedulers.background import BackgroundScheduler from flask import Flask, request from flask_login import LoginManager, current_user, login_required from webargs import fields ...
import re import discord import asyncio import tokens from phonetic import phonetic client = discord.Client() @client.event async def on_ready(): print('Logged in as') print(client.user.name) print(client.user.id) print('------') @client.event async def on_message(message): if message.content.st...
matrix = [] def is_valid(r, c, matrix): n = len(matrix) return 0 <= r < n and 0 <= c < n for _ in range(8): line = [x for x in input().split()] matrix.append(line) directions = { 'up':[-1,0], 'down': [1, 0], 'right':[0, 1], 'left': [0, -1], 'upleft':[-1, -1], '...
fish_name = ['selmon roe','red bream', 'egg roll','shimp','kimbab', 'tuna'] fish_price = [1000,3000,1000,2000,1000,5000] price = 0 for i in range(len(fish_name)): price += fish_price[i] print("Total price is",price) fp = 0 price = 0 for fp in fish_price: price += fp print("Total price is",price) ...
bl_info = { "name": "Retopology", "author": "Nikhil Sridhar", "version": (2, 5, 2), "blender": (2,80,0), "location": "View3D > Sideshelf > Retopology", "description": "Remesh/Retopologize", "warning": "", "wiki_url":...
from picas.documents import Document, Task from picas.util import seconds from nose.tools import assert_equals, assert_raises, assert_true ''' @author Joris Borgdorff ''' test_id = 'mydoc' test_other_id = 'myotherdoc' def test_create(): doc = Document({'_id': test_id}) assert_equals(doc.id, test_id) as...
import sys input = sys.stdin.readline n, m = map(int, input().split()) current_r, current_c, current_d = map(int, input().split()) dx = [-1, 0, 1, 0] # 북, 동, 남, 서 dy = [0, 1, 0, -1] board = [] for i in range(n): board.append(list(map(int, input().split()))) visited = [[0] * m for i in range(n)] # 청소기가 청소한 곳 ...
# Binary Search Tree Checker # Write a function to check that a binary tree is a valid binary search tree. # class BinaryTreeNode: # # def __init__(self, value): # self.value = value # self.left = None # self.right = None # # def insert_left(self, value): # self.left = BinaryT...
# # test_http # # Copyright (c) 2011-2021 Akinori Hattori <hattya@gmail.com> # # SPDX-License-Identifier: MIT # import ayame from ayame import http from base import AyameTestCase class HTTPTestCase(AyameTestCase): def assertStatus(self, st, code, reason, superclass=None): self.assertEqual(st.code, c...
def sum_double(a,b): if a==b: return 2*(a+b) return a+b print sum_double(1,2) print sum_double(3,2) print sum_double(2,2) print sum_double(3,3)
import json import logging import requests from EntityLoader import LoadContext, Loading from github_loading import GithubLoadBehaviour class SimplePageableBehaviour(GithubLoadBehaviour): def __init__(self, _token: str, per_page: int, _logger: logging.Logger, ...