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[ mean: 0.74598, std: 0.01465, params: {'base_estimator__max_depth': 3, 'base_estimator__max_features': 'sqrt'}, mean: 0.74689, std: 0.01357, params: {'base_estimator__max_depth': 3, 'base_estimator__max_features': 'log2'}, mean: 0.73473, std: 0.00446, params: {'base_estimator__max_depth': 3, 'base_est...
import cv2 import os import numpy as np import tensorflow as tf #Data directory dat_dir = '../data' test_dir = dat_dir + '/test' # Load Images def preprocess(im): images = [] image = cv2.resize(image, (image_size, image_size),0,0, cv2.INTER_LINEAR) images.append(image) images = np.array(images, dtype...
#Created on 5/23/2017 #@author: rspies # Python 2.7 # This script converts individual QME datacard files to a single/merged csv file that can be imported for dss build import os import datetime from dateutil import parser os.chdir("../..") # change dir to \\AMEC\\NWS maindir = os.getcwd() ############ Us...
#!/usr/bin/python from bitstring import BitArray, BitStream import Image import sys import hashlib from util import getKey, getImageData def decrypt(data, key): # TODO - assert RGB/RGBA #print img.mode bits = BitArray() lbits = BitArray(32) counter = 0 # Begin for for i in data: c = counter - lbits...
# -*- coding: utf-8 -*- """ Created on Wed Mar 2 21:13:53 2016 Class for a UserDevice in 3Space A UserDevice represents both a camera & viewport @author: alex """ import numpy as np from Events import ObjEvent, EventDispatcher class UserDevice(object): def __init__(self): #The Key Passed to t...
n = int(input()) s = input() mx = 0 for i in range(1,n): cnt = 0 for j in range(ord('a'), ord('z')+1): c = chr(j) if c in s[0:i] and c in s[i:n]: cnt += 1 mx = max(cnt, mx) print(mx)
import createDB import sqlite3 import os.path from datetime import date, datetime DB = sqlite3.connect('Mailing.db') conn = DB.cursor() def firstActions(): while (1): action = raw_input("What do you want to do? 1-Register 2-Login 3-Quit \n") if (action == '3'): break elif (action == '1'): #register try:...
__author__ = 'samue'
import pandas as pd df1 = pd.read_csv("train.csv") df1 = df1.drop(df1.columns[0], axis=1) df2 = pd.read_csv("245_1.csv") df1 = df1.append(df2) df1.to_csv('train.csv', index=False)
n1 = float(input('Digite o primeiro número: ')) n2 = float(input('Digite o segundo: ')) print (n1 + n2)
# -*- coding: utf-8 -*- # Generated by Django 1.11.2 on 2019-05-20 17:48 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('quicklook', '0013_auto_20190508_0757'), ] operations = [ migrations.AlterFi...
__author__ = "Narwhale" import unittest from employee import Employee class TestEmployee(unittest.TestCase): '''测试employee.py文件''' def setUp(self): '''创建姓名及工资,供使用测试方法使用''' self.eric = Employee('eric', 'matthes', 65000) def test_give_default(self): '''测试默认年薪增加''' self.eric.g...
from __future__ import division import autograd.numpy as np from autograd import grad from operator import itemgetter from svae.util import monad_runner, interleave, uninterleave from svae.lds.gaussian import sample, predict, condition_on from svae.lds.gaussian import natural_sample, \ natural_condition_on, natura...
from common.run_method import RunMethod import allure @allure.step("极客数学帮(家长APP)/用户管理/删除用户设备绑定关系") def pushRelationship_delete(params=None, body=None, header=None, return_json=True, **kwargs): ''' :param: url地址后面的参数 :body: 请求体 :return_json: 是否返回json格式的响应(默认是) :header: 请求的header :host: 请求的环境 ...
''' Copyright 2012 Will Rogers 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 wr...
from PyQt4.QtGui import QColor, QImage from images.image_converter import ImageConverter #from utils.logging import klog import math import time class ImageComparator(object): def __init__(self, image): self.image = image def get_motion_vectors(self, image2, searcher, MAD_threshold = None): ""...
from rest_framework import serializers from .models import Dictribution, Film, Activity, Message class DictributionSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Dictribution fields = '__all__' class FilmSerializer(serializers.HyperlinkedModelSerializer): class Meta:...
from twilio.rest import Client account_sid = 'AC534ccef182c5e4b4efbbc315a44bbed3' auth_token = 'e505be28ef55d8fa15f158e6af95774b' client = Client(account_sid, auth_token) message = client.messages.create( to="+17743137029", from_="+16176525131", body="This is an automated message" ) print(message.sid)
from core import web, view from aiohttp.web import Response class UserController: @web.get('/login') @view.json def login(self, request): return Response(body=b'Fack the system') @web.get('/blog/{id}') @view.json def blog(self, id): return Response(body=b'{}'.format(id))
#!/usr/bin/env python # -*- coding: utf-8 -*- # django from django.contrib import admin # 3rd-party from eav.admin import BaseEntityAdmin, BaseSchemaAdmin # this app from models import Product,Schema,Choice,Category,Filter,FilterValue,Customer,Order,TopMenu,Cart,Item,MyOrder,OrderProduct,Sort from forms import Produ...
str = 'programming' print("str = ", str) # first character accessing print("str[0 = ", str[0]) # print last character print("str[-1) = ", str[-1]) # slicing 2nd to 5th character print("str[1:5) = ", str[1:5]) # slicing 6th to 2nd last character print("str[5:-2) = ", str[5:-2]) # String operators str1 = "Hello" str...
import unittest import coc_package class TestAddFunction(unittest.TestCase): def test_add_for_ints(self): self.assertEqual(coc_package.add(3, 5), 3 + 5) def test_add_error(self): with self.assertRaises(AttributeError): coc_package.add(3, "5") if __name__ == '__main__': unit...
from django.db import models from workprogramsapp.expertise.models import Expertise, ExpertiseComments from workprogramsapp.models import Topic, WorkProgram from django.conf import settings class UserNotification(models.Model): """ Базовый класс нотификаций """ status_choices = ( ('read', 're...
import NeuralNetwork import Neuron import Loader def main(): Neuron.eta = 0.09 Neuron.alpha = 0.015 topology = [] topology.append(1) topology.append(2) topology.append(1) net = NeuralNetwork.Network(topology) err = 0 for i in range(1): with open("dataWithTeacher.txt", 'r') ...
for i in range(3): n = int(input()) count = 1 curr = n while curr > 3: curr = curr // 3 count += 1 print(count)
# -*- coding: utf-8 -*- # Generated by Django 1.10 on 2016-09-01 19:33 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0001_initial'), ] operations = [ migrations.AddField( mod...
from urllib.parse import urlparse url = '{{ .VARIABLE }}' u = urlparse(url) try: print('Scheme: ' + u.scheme) print('netloc: ' + u.netloc) print('path: ' + u.path) print('params: ' + u.params) print('query: ' + u.query) print('fragment: ' + u.fragment) print('username: ' + str(u.username)...
import os os.system('docker run --rm -it -v {}:/app jmengxy/util bash'.format(os.getcwd()))
from prereise.cli.data_sources import get_data_sources_list from prereise.cli.data_sources.solar_data import ( SolarDataGriddedAtmospheric, SolarDataNationalSolarRadiationDatabase, ) from prereise.cli.data_sources.wind_data import WindDataRapidRefresh def test_get_data_sources_list(): data_sources_list = ...
import argparse import os import opts.ref as ref class Opts: def __init__(self): self.parser = argparse.ArgumentParser() def init(self): self.parser.add_argument('-expID', default='default', help='Experiment ID') self.parser.add_argument('-DEBUG', type=int, default=0, help='Debug') ...
""" 孙竹鸿 """ from flask import Blueprint szh = Blueprint('szh',__name__) from .views import *
from django.shortcuts import render, render_to_response from login_and_reg.forms import userCreationForm from login_and_reg.forms import queryForm from django.shortcuts import render_to_response from django.http import HttpResponseRedirect from django.core.context_processors import csrf, request from django.contrib im...
from ts3.query import TS3Connection, TS3QueryError import logging from waitlist.utility import config from waitlist.utility.settings import sget_active_ts_id from waitlist.storage.database import TeamspeakDatum from waitlist.base import db from time import sleep logger = logging.getLogger(__name__) def make_connect...
# 单调栈,但是怎么维护真没想出来 class Solution: def totalSteps(self, nums: List[int]) -> int: stack = [] N = len(nums) ans = 0 for i in range(N): t = 1 while stack and nums[stack[-1][0]] <= nums[i]: _, pt = stack.pop() t = max(t, pt + 1) ...
#!/usr/bin/env python3 # # Copyright (C) 2020 Cambridge Astronomical Survey Unit # # 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...
import json import unittest import responses import pyyoutube class ApiVideoCategoryTest(unittest.TestCase): BASE_PATH = "testdata/apidata/categories/" BASE_URL = "https://www.googleapis.com/youtube/v3/videoCategories" with open(BASE_PATH + "video_category_single.json", "rb") as f: VIDEO_CATEGO...
#!/usr/bin/env python import roslib roslib.load_manifest('baxter_rr_bridge') import rospy import baxter_interface from sensor_msgs.msg import PointCloud from sensor_msgs.msg import Imu from std_msgs.msg import UInt16 from std_msgs.msg import Empty from baxter_core_msgs.msg import SEAJointState import tf import sys, ar...
import sunspec2.spreadsheet as spreadsheet import pytest import csv import copy import json def test_idx(): row = ['Address Offset', 'Group Offset', 'Name', 'Value', 'Count', 'Type', 'Size', 'Scale Factor', 'Units', 'RW Access (RW)', 'Mandatory (M)', 'Static (S)', 'Label', 'Description', 'Detailed Desc...
import sys sys.path.append('.') import time import signal from multiprocessing import Pipe, Process, Event from movementControl import MovementControl from src.hardware.serialhandler.serialhandler import SerialHandler from src.hardware.camera.cameraprocess import CameraProcess from laneKeeping import LaneKeeping fro...
""" A model that was initially meant to learn motion probabilities using input features, the model now learns the probabilities of two states belonging to eachother. """ import os # import numpy as np from tensorflow.python.keras.models import Model, load_model from tensorflow.python.keras.layers import Input, Dense...
import os os.sys.path.insert(0, os.path.abspath('..\settings_folder')) import settings from utils import get_random_end_point def test(): arena_size = [60, 60, 20] total_num_of_splits = 3 print("arena_size" + str(arena_size)) print("total_num_of_splits" + str(total_num_of_splits)) for split_index in range(0, t...
import random from typing import Tuple, Callable Strategy = Tuple[Callable[[int], int], Callable[[int], int]] def random_bit() -> int: return random.randint(0, 1) def referee(strategy: Callable[[], Strategy]) -> bool: you, eve = strategy() your_input, eve_input = random_bit(), random_bit() parity...
"""print_property_table() function and RowTable class. These are two styles of nicely formatted text tables meant for printing to the IPython console window. """ from typing import Any, List, Tuple, Union from napari.components.experimental.chunk._commands._utils import highlight from napari.utils.translations import...
"""API utilty functions.""" from rest_framework.views import get_view_name as drf_get_view_name def get_view_name(view_cls, suffix=None): name = drf_get_view_name(view_cls, suffix=None) if name == 'Api Root': return 'API Root' else: return name
from .index import * from .alt import *
from django.db import models class Email(models.Model): created = models.DateTimeField(auto_now_add=True) fro = models.CharField(max_length=255) to = models.TextField(blank=True) cc = models.TextField(blank=True) bcc = models.TextField(blank=True) subject = models.CharField(max_length=255) ...
import numpy as np # Zad1. # Za pomocą funkcji arange stwórz tablicę numpy składającą się z 15 kolejnych wielokrotności liczby 3. wielokrotności = np.arange(start=0, stop=3 * 15, step=3, dtype=int) print(wielokrotności) # Zad2. # Stwórz listę składającą się z wartości zmiennoprzecinkowych # a następnie zapisz do inn...
class Employee: comp_name = "sathya" def __init__(self): self.name = "ravi" self.salary = 125000.00 def displayDetails(self): print(self.name) print(self.salary) print(Employee.comp_name) #--------------------- e1 = Employee() print("1st Object ---",e1) e1.display...
# Maximal Rectangle # - Given a 2-d list, come up with the size of the largest rectangle # that is only consisted of 1's # Explanation: The algorithm looks at the matrix in the similar way as the recursive # algorithm does but it builds up the cumulative heights as it goes. def sol_dp(matrix): if le...
from time import strftime import sys,os sys.path.insert(1,os.path.abspath(os.path.join(os.path.dirname( __file__ ),'..','..','lib'))) import pytest import sys,os sys.path.insert(1,os.path.abspath(os.path.join(os.path.dirname( __file__ ),'..','..','lib'))) from clsCommon import Common import clsTestService import enums ...
''' adpump Nostale_FR https://adpgtrack.com/click/5d15c5d8a035945cc309af93/157000/224520/subaccount Uspd ''' from selenium.webdriver import ActionChains from selenium import webdriver from time import sleep # import xlrd import random import os import time import sys sys.path.append("..") # import email_imap as imap # ...
# -*- coding: utf-8 -*- from typing import List class Solution: def maxSubsequence(self, nums: List[int], k: int) -> List[int]: indices_of_top_k_nums = sorted(enumerate(nums), key=lambda el: -el[1])[:k] sorted_indices_of_top_k_nums = sorted(indices_of_top_k_nums) return [num for index, nu...
from pymagnitude import * from sklearn.cluster import KMeans from sklearn.metrics import silhouette_score from graph import * from a_star import * from client import DroidClient from word2number import w2n import random, time, csv, re import numpy as np # Change this path to where you put your project folder path = "/...
# noinspection PyUnresolvedReferences from actuators.HBridgeActuator import HBridgeActuator as Actuator import os from controllers.Controller import Controller # noinspection PyUnresolvedReferences import RPi.GPIO as GPIO class HBridgeController(Controller): def __init__(self): GPIO.setmode(GPIO.BOARD) ...
from flask import Blueprint, request, make_response, session, jsonify, render_template, redirect,current_app from utils.captcha.captcha import captcha from utils.ytx_sdk.ytx_send import sendTemplateSMS import random import re import functools from models import db, UserInfo,NewsCategory,NewsInfo from utils.qiniuyun_xjz...
import os from PIL import Image import numpy as np from keras import layers from keras.applications import DenseNet121 from keras.callbacks import Callback, ModelCheckpoint from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential from keras.optimizers import Adam import matplotlib.p...
# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'fullscreen_mode.ui', # licensing of 'fullscreen_mode.ui' applies. # # Created: Thu Jan 2 17:55:43 2020 # by: pyside2-uic running on PySide2 5.9.0~a1 # # WARNING! All changes made in this file will be lost! from PySide2 import QtCore,...
ogrenciNotlari = { 'Deniz': 8, 'Mahir': 10, 'İbrahim': 9, 'Ulaş': 9.5 } # print(type(ogrenciNotlari)) # print(ogrenciNotlari['Deniz']) for ogrenci in ogrenciNotlari: print(ogrenci + " " + str(ogrenciNotlari[ogrenci]) + " aldı")
""" :copyright: Michael Yusko :license: MIT, see LICENSE for more details. """ __author__ = 'Michael Yusko' __version__ = '0.1.1'
print("Insira 3 números reais.") a,b,c = int(input()), int(input()), int(input()) print((a+b)*(b+c)) print(3*(a+b+c))
import pandas as pd import numpy as np from normalise_user_item_matrix import linebreak from sklearn.metrics.pairwise import cosine_similarity from sklearn.neighbors import NearestNeighbors matrix_new = pd.read_csv('user_item_matrix_normalised.csv') drop_columns_all_except_name_new = [i for i in range(lineb...
from django.shortcuts import render from django.shortcuts import HttpResponseRedirect from django.shortcuts import Http404 # Create your views here. from celery.result import AsyncResult from tools.tasks import add from .models import Add # from tools.db import Db import datetime def add_1(request): first = int...
#Saumit Madireddy #I pledge my honor that I have abided by the Stevens Honor System. def main(): print("This program will determine your BMI and whether or not it is healthy.") w = eval(input("How much do you weigh (lbs) ? ")) h = eval(input("How tall (inches) are you? ")) BMI = (w * 720) / (h * h) ...
import os, pathlib from pdfquery import PDFQuery class Applicable_Federal_Rates: @staticmethod def get_pdf(): return PDFQuery(os.path.join(pathlib.Path(__file__).parent.absolute(), 'current_afr_revenue_ruling.pdf')) @staticmethod def get_bbox_bounds(pdf): lines = pdf.extract([('afr',f...
import os import pygame class Game: def __init__(self, board, screenSize): self.images = {} self.board = board self.screenSize = screenSize self.squareSize = self.screenSize[0] // self.board.getBoardSize(), self.screenSize[ 1] // self.board.getBoardSize() self.l...
#import the required function from the module! from pywhatkit import image_to_ascii_art #source and target path source_path = 'img.png' target_path = 'ascii_art.text' #call the method image_to_ascii_art(source_path, target_path)
import tensorflow as tf import numpy as np unique = 'helo' #. language model은 다음에 올 글자나 단어를 예측하는 모델이어서, 마지막 글자가 입력으로 들어와도 예측할 수가 없다. batch_size = 1 time_step_size = 4 rnn_size = 4 y_data = [1, 2, 2, 3] # 'ello'. index from 'helo' x_data = np.array([[1,0,0,0], [0,1,0,0], [0,0,1,0], [0,0,1,0]], dtype='f') # 'hell' ...
import requests, re from pprint import pprint #<a href="" class="feed-post-link gui-color-primary gui-color-hover" elementtiming="text-csr">Cidade de SP fará 'xepa' para antecipar 2ª dose da vacina; veja regras</a> def getTitulos(url): req = requests.get(url) #tags = re.findall(r'(<p class="descricao">)(.+?)(...
from __future__ import print_function import os from six.moves.configparser import RawConfigParser __author__ = 'alforbes' try: CONFIG_FILE = os.environ['ORLO_CONFIG'] except KeyError: CONFIG_FILE = '/etc/orlo/orlo.ini' config = RawConfigParser() config.add_section('main') config.set('main', 'debug_mode', '...
import json import DiscoveryDetails as dt print(json.dumps(dt.discovery.get_collection(dt.environment_id, dt.collection_id).get_result(), indent=2))
import math t = 0.0,5.4,-2.5,8,0.4 print(t) print(math.__name__)
def combinations(n): if (n == 1): combos = set() combos.add("()") return combos else: sets = combinations(n - 1) combos = set() for combo in sets: combos.add("()" + combo) combos.add("(" + combo + ")") combos.add(combo + "()") ...
from django import forms from django.core import exceptions, validators from django.utils.translation import ugettext_lazy as _ from topnotchdev.files_widget.conf import * class UnicodeWithAttr(str): deleted_files = None moved_files = None class FilesFormField(forms.MultiValueField): def __init__(self, ...
import mysql.connector from mysql.connector import errorcode #QUERYS queryThisWeek = "SELECT events.CourseID, events.Title, events.DueDate, events.Description FROM events WHERE WEEK(events.DueDate)=WEEK(CURRENT_DATE);" queryToday = "SELECT events.CourseID, events.Title, events.DueDate, events.Description FROM events W...
spam = { 'color': 'red', 'age': 42 } for k in spam.keys(): print(k)
import os import torch import numpy as np import argparse import random import yaml from easydict import EasyDict import gensim import torch.utils.data as data import torch.backends.cudnn as cudnn import torch.optim as optim import data_helpers from models.standard import * parser = argparse.ArgumentParser(descriptio...
#-*- coding: utf-8 -*- import random from lib.base_entity import BaseEntity from lib.base_animation import BaseAnimation class LifeAnimation(BaseAnimation): """Custom class : Life Animation.""" WIDTH_SPRITE = 16 HEIGHT_SPRITE = 17 def get_sprite(self, move_direction): frame = self.subs...
# Still learning Python I love Python # If you find some problem or can make this code much better than please make so that I know where is gap in knowledge # THANK YOU!!!!! from random import randint choice = randint(1, 3) if choice is 1: computerMove = "Rock" elif choice is 2: comp...
# SPDX-License-Identifier: BSD-3-Clause # Copyright (C) 2017-2020, SCANOSS Ltd. All rights reserved. # Use of this source code is governed by a BSD-style # license that can be found in the LICENSE file. """ Winnowing Algorithm implementation for SCANOSS. This module implements an adaptation of the original winnowing ...
def countArrangement(N): available_dict = {} for i in xrange(1, N + 1): curr_available = [] for t in xrange(1, N + 1): if i % t == 0 or t % i == 0: curr_available.append(t) available_list.setdefault(i, curr_available) # 4 * 3 * 2 * 1 / 3*2*1 * 1 # N == 4 # 1,2,3,4 # 1,4,3,2 # 2,1,3,4 # 2,4...
class Solution(object): def findKthPositive(self, arr, k): n = len(arr) j = 0 f = 0 for i in range(1,n+k+1): if j<n and i == arr[j]: j += 1 continue else: f += 1 if k == f: ret...
# Copyright 2016 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). from typing import Any, Type, TypeVar, cast from pants.util.frozendict import FrozenDict _T = TypeVar("_T") class RunId(int): """A unique id for a single run or `--loop` iteration ...
n,k = [int(x) for x in raw_input().split(" ")] list3=[n] list1=[] def divOf(z): global list1 if z==1: list1.append(1) elif z==2 or z==3: list1.append(1) list1.append(z) else: list1.append(1) for j in range(2,(z/2)+1): if z%j==0: list1.append(j) if len(list1)>10000000: break list1.append(...
# predictor from data.handpose_data2 import UCIHandPoseDataset from model.lstm_pm import LSTM_PM from src.utils import * # from __future__ import print_function import argparse import pandas as pd import os import torch import torch.nn as nn from torch.autograd import Variable from collections import OrderedDict from t...
#coding:utf-8 #收盘 import cv2 as cv import numpy as np #关闭是反向打开,扩张后跟侵蚀。它可用于关闭前景对象内的小孔或对象上的小黑点。 img = cv.imread('D:/python_file/Opencv3_study_file/images/closing.png') kernel = np.ones((5,5),np.uint8) closing = cv.morphologyEx(img, cv.MORPH_CLOSE, kernel) cv.imshow('img',img) cv.imshow('erosion',closing) cv.waitKey(0) c...
from mtd import Document from xl import StandardExporter doc = Document('test\\otto\\test.mtd') doc.parse() xl = StandardExporter(doc, 'test\\otto\\test.xlsx') xl.export() xl.save() print('OK')
import sys import win32gui, win32con from pprint import pprint e=sys.exit def windowEnumerationHandler(hwnd, top_windows): top_windows.append((hwnd, win32gui.GetWindowText(hwnd))) if __name__ == "__main__": results = [] top_windows = [] win32gui.EnumWindows(windowEnumerationHandler, top_windows) for i in top_w...
import requests from api import http def test_adjust_paging_with_no_params(): target = http.Http(lambda: requests.Session()) url = "https://gitlab.com/api/v4/projects/14171783/jobs" expected = "https://gitlab.com/api/v4/projects/14171783/jobs?per_page=20" actual = target.__adjust_paging__(url, 20) ...
# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html # class ImdbPipeline(object): # def process_item(self, item, spider): # return item import pymongo import re fro...
s = { 1:'One', 2:'Two', 3:'Three', 4:'Four', 5:'Five', 6:'Six', 7:'Seven', 8:'Eight', 9:'Nine', 10:'Ten', 11:'eleven', 12:'twelve', 13:'thirteen', 14:'fourteen', 15:'fifteen', 16:'sixteen', 17:'seventeen', 18:'eighteen', 19:'...
import functools def pjax(pjax_template=None): def pjax_decorator(view): @functools.wraps(view) def _view(request, *args, **kwargs): resp = view(request, *args, **kwargs) # this is lame. what else though? # if not hasattr(resp, "is_rendered"): # w...
from .backend import * from ..Computation.num_properties import sign from ..testing.types import isReal class _ArbitraryPrecision: def __init__(self, man, exp, value=None): self.man = man self.exp = exp self.sign = sign(man) if value is None: self.value = man * 2 ** exp...
'''9.4 Write a program to read through the mbox-short.txt and figureout who has sent the greatest number of mail messages. The program looks for 'From ' lines and takes the second word of those lines as the person who sent the mail. The program creates a Python dictionary that maps the sender's mail address to a co...
# # cogs/guild/core.py # # mawabot - Maware's selfbot # Copyright (c) 2017 Ma-wa-re, Ammon Smith # # mawabot is available free of charge under the terms of the MIT # License. You are free to redistribute and/or modify it under those # terms. It is distributed in the hopes that it will be useful, but # WITHOUT ANY WARRA...
from typing import Any, Dict, List, Optional, Tuple from mmic.components.blueprints import GenericComponent from mmic_autodock_vina.models.input import AutoDockComputeInput from mmic_autodock_vina.models.output import AutoDockComputeOutput from mmic_cmd.components import CmdComponent from cmselemental.util.decorators i...
s1=input() l=list(s1) for i in range(len(l)-1): if(i%2==0): l[i],l[i+1]=l[i+1],l[i] s1="".join(l) print(s1)
from django.conf import settings from django.core import signals from django_pipes.stats import PipesStats debug_stats = PipesStats() # Register an event that resets pipes debug_stats.queries # when a Django request is started. def reset_pipes_queries(**kwargs): debug_stats.queries = [] signals.request_started.co...
# Generated by Django 3.0.3 on 2020-03-22 11:19 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main_app', '0017_auto_20200322_1022'), ] operations = [ migrations.AlterField( model_name='userprofile', name='image...
c={"a":10, "b":1, "c":22} temp=list() for k,v in c.items(): temp.append((v, k)) temp=sorted(temp, reverse=True) print(temp)
# -*- coding: utf-8 -*- """ Created on Thu Sep 07 09:05:09 2017 @author: Randall """ duplicity_check = open("duplicity_check.txt", "r") duplicates = file.read().split(',') duplicity_check.close() duplicity_check = open("duplicity_check.txt", "a") text_string = "20170907_wbb_ozone" if text_string not in duplicates: ...