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from tkinter import * import parser root = Tk() root.title('Calculator') root.geometry("368x280") root.maxsize(368,280) root.minsize(368,280) root.config(bg="grey") i = 0 def get_variables(num): global i display.insert(i, num) i += 1 def clear_all(): display.delete(0, END) def undo(): entir...
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print "Hi" print "Kit KAt" print print print print print
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create_tcp_protocol.py
import os import argparse # Creates a tcp protocol protocol = "" plugin_type = "" plugin_var = "" def generate_protocol(): read_input() process_file() def read_input(): """Requests input form the command line for empty variables if needed. """ global protocol, plugin_type, plugin_var if p...
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from django.contrib.auth.models import User from rest_framework.generics import ListCreateAPIView, RetrieveDestroyAPIView, RetrieveUpdateAPIView, CreateAPIView, \ RetrieveAPIView from rest_framework.serializers import ModelSerializer from .models import Question, Choice class ChoiceSerializer(ModelSerializer): ...
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q_learning_1d.py
# We have a Q table representing the potential reward of choosing an action at a state. Q(s, a) # The estimated Q-value: Q_esti = Q(s_old, a) # The real Q-value: Q_real = R + gamma*max(Q(s_new)) # Difference: diff = Q_real - Q_esti # Then update the Q table by: Q(s_old, a) += alpha*diff # Deciding the action is after t...
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from collections import defaultdict def solve(s, lst): cnt1 = defaultdict() for i in s: p = ord(i) if i.islower(): p -= 97 else: p -= 65 if p in cnt1: cnt1[p] += 1 else: cnt1[p] = 1 ans = [] for l in lst: ...
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""" .. module:: modules :synopsis: Neuro-symbolic Pytorch modules. """ import torch import torch.nn as nn from torch import Tensor from torch.nn import Parameter from torchsummary import summary from nstorch.losses import mse_loss class NSModule(nn.Module): """A neuro-symbolic module that is composed of sub-...
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gen1.py
def first_n(n): num = 1 while num <= n: yield num num += 1 sum_of_first_10 = sum(first_n(10)) print('10',sum_of_first_10)
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# @Time : 19-8-12 下午2:34 # @Author : Aries # @Site : # @File : sgd.py # @Software: CLion import numpy as np from .base import Base try: from ..ndarray import gpu_op, ndarray except ImportError: pass class SGD(Base): def __init__(self, cost, params, lr=0.1, momentum=0.9, use_gpu=False): ...
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class Singleton(object): def __init__(self, decorated): self._decorated = decorated def get_instance(self): if '_instance' in dir(self): return self._instance else: self._instance = self._decorated() return self._instance def __call__(self): raise TypeError('Singletons must ...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models from subscription.models import Subscription class Entry(models.Model): subscription = models.ForeignKey(Subscription, verbose_name='Nome') when = models.DateTimeField('Quando', auto_now_add=True) in_out = models.Positiv...
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import os import csv totalMonths = 0 totalRevenue = 0 avgRevenueChange = 0 greatestRevIncDate = "Date1" greatestRevIncAmt = 0 greatestRevDecDate = "Date2" greatestRevDecAmt = 0 totalRevenueChange = 0 csvpath = os.path.join('..', 'Resources', 'budget_data.csv') with open(csvpath, 'r') as csvfile: csv_header = next...
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day_09.py
from tools.read_data import read_ints import numpy as np ints = read_ints("../data/input_09.txt") for i, n in enumerate(ints[25:]): prevs = ints[i:i+25] diffs = n - prevs if not set(prevs) & set(diffs): print(n) bad_number = n break for i in range(ints.size - 1): cumsums = np...
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# your code goes here low,upp = map(int,raw_input().split()) count = 0 for num in range(low,upp+1): if num > 1: for x in range(2,num): if(num % x == 0): break else: count = count+1 print (count)
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Diagonal_Traverse.py
# Traverse along the Diagonal # Author: Pavan Kumar Paluri # Leetcode Question: https://leetcode.com/problems/diagonal-traverse/ # Time Complexity: O(N*M) and Space Complexity: O(min(N,M)) class Solution: def findDiagonalOrder(self, matrix: List[List[int]]) -> List[int]: if len(matrix)==0: retu...
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R = 2 b = 4 D = (2*4) print(D)
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test_scmrelease_view.py
from uuid import UUID import pytest from katka import models @pytest.mark.django_db class TestSCMReleaseViewSetUnauthenticated: """ When a user is not logged in, no group information is available, so nothing is returned. For listing, that would be an empty list for other operations, an error like the ob...
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test_audit.py
# -*- encoding: utf-8 -*- # Copyright (c) 2016 b<>com # # 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 o...
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py
remote.py
# # Copyright (C) 2014-2023 S[&]T, The Netherlands. # from __future__ import absolute_import, division, print_function import logging import os import re import json import ftplib import tarfile import zipfile import muninn.util as util from muninn._compat import urlparse from muninn.exceptions import Error class ...
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/bot/tests/test_battlecalculator.py
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test_battlecalculator.py
from bot.battlecalculator import BattleCalculator from battle.moves import movedex from tests.multi_move_test_case import MultiMoveTestCaseWithoutSetup class TestBattleCalculator(MultiMoveTestCaseWithoutSetup): def test_calculate_expected_damage(self): self.new_battle('vaporeon', 'leafeon') bc = Ba...
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from enum import Enum class DocumentSource(Enum): file = "file" camera = "camera"
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MAX = 10000 parent = [] ranks = [] def makeSet(): global parent, ranks parent = [i for i in range(MAX * 2)] ranks = [0 for i in range(MAX * 2)] def findSet(u): if parent[u] != u: parent[u] = findSet(parent[u]) return parent[u] def unionSet(u, v): up = findSet(u) vp = findSet(v...
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m =11*19 xi = 9 def rng(): global xi xi = (xi*xi)%m return xi #output q1 for i in range(12): print(rng()) #output of running this is 81 # 82 36 42 92104 157 196 169 137 168 9 #question 2 from RandomnessTests import RandomnessTester Bitstr ="" for i in range(120): Bitstr += bin(rng())[-1:] rn...
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#Indi Knighton #20/10/2014 #A program asking the user for a series of numbers and a rogue value and print the average of the numbers result = 0 total = 0 for result in range(0,5): result = int(input("Please enter a number here: ")) if result >= 0: total = total + result elif result < 0: ...
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import requests def main(language, token): fullnames = [] for i in range(10): page = i + 1 print(f'download page {page}') query = f'topic:{language} language:{language} stars:>0' url = f'https://api.github.com/search/repositories?q={query}&sort=stars&per_page=100&page={page...
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import pygame from Fases.player import Player from Fases.wall import Wall guy = pygame.image.load('images/dood.png') camac = pygame.image.load('images/bed.png') BLACK = (0, 0, 0) WHITE = (255, 255, 255) BLUE = (50, 50, 255) LIME = (26, 242, 152) #NADA = (255, 255, 255, 0) marrom_bombom = (188, 100, 28) SCREEN_WIDTH ...
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extract_bursty_issues.py
''' Extracts the issues belonging to the bursty periods for projects ''' import os import sys import csv import glob import calendar import cPickle as pickle import pandas as pd from collections import defaultdict from datetime import datetime import argparse csv.field_size_limit(sys.maxsize) parser = argparse.Argum...
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TheBlindPassenger.py
import math number_of_test_cases = int(input()) for i in range(number_of_test_cases): seat_number = int(input()) if seat_number == 1: print("poor conductor") else: row = (seat_number + 4) / 5 position = "" if row.is_integer(): row -= 1 if seat_number % 10...
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import optparse print '\n\n' # --------- Process User Input --------- usage = """python %prog inFile [xtraFile xtraFile]""" parser = optparse.OptionParser(usage) (opts, args) = parser.parse_args() if len(args) < 1: parser.print_help() print '\nERROR: Please supply at least 1 inFiles.' exit(1) # -...
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# ---------------------------------------------------------------------- # EscalationPolicy tests # ---------------------------------------------------------------------- # Copyright (C) 2007-2021 The NOC Project # See LICENSE for details # ---------------------------------------------------------------------- # Pytho...
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class MethodOfLinesTVD(object): def plot(self): figs = [ ] for scheme in ['pcm2', 'plm2']: try: figs.append(self.with_scheme(scheme)) except IOError as e: print e, "for scheme", scheme return figs def with_scheme(self, scheme): ...
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# calobj=calendar.monthcalendar(year,month) # print(type(calobj)) # print(calobj) # msg = "Hello World" # print(msg) def __getEpochTime(year,month,day): import datetime import calendar import time strtime=f"{year}-{month}-{day:02d} 00:00:00" # 取得GMT的時間 dt = datetime.datetime.s...
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bad_epoch.py
from matplotlib import pyplot as plt import copy class Bad_epoch: '''Object to store information about streches of EEG data that have artifacts. Contains boundaries (object) of type start and end with start sample with respect to start block Contains info about participant id experiment type block number and start ...
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from turtle import * for i in range(3,7): for j in range(i): if (i%2==1): pencolor('blue') else: pencolor('red') forward(100) left(360/i) mainloop()
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test_locator.py
import pytest from pageobject.locator import Locator from pageobject.pageobjectbase import PageObjectBase from .fixtures import mock_locator def test_constructor_inits_parameters_correctly(): xpath = "//body" locator = Locator(xpath, page_object=PageObjectBase()) assert locator._initialized_value == xpath...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon Apr 22 02:00:56 2019 @author: yannik """ def calc_fib(n): if n <= 1: return n previous = 0 current = 1 for _ in range(n - 1): previous, current = current, previous + current return current if __name__ == '__mai...
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from markov import generate_message from flask import Flask, render_template from flask_socketio import SocketIO, send, emit app = Flask(__name__) socketio = SocketIO(app) def ack(): print("\t[+] Message was received") # Render page @app.route("/") def index(): return render_template("public/index.html") # ...
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import csv import os from django.shortcuts import render from django.views.generic import TemplateView, ListView from django.http import HttpResponse, request from .models import CourseContent, Prof, Spec # Create your views here. # def HomePage(request): # return HttpResponse("Hey Mara") class HomePage(ListVie...
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QLearn_Func.py
''' This is a quick and dirty Q-Learning function for exploring the concept. It runs the Frozen Lake environment, and can run most other environments if the observation and action spaces are tweaked. That being said, there are much better algorithms for reinforcement learning, and a lot can be deployed easily usin...
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check_similarity.py
import re import pprint from stop_words import stop_words as sw file_name_melina = '/Users/asabeneh/Desktop/projects/data-science-for-everyone/datasets/melina_trump_speech.txt' file_name_michelle = '/Users/asabeneh/Desktop/projects/data-science-for-everyone/datasets/michelle_obama_speech.txt' def clean_text(file_name...
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from .generate import generate_pycode_from_xml
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# -*- mode: python -*- # -F -w block_cipher = None a = Analysis(['C:\\Users\\Magicalbomb\\Desktop\\Work\\myPyLab\\Projections\\EmailPC\\EmailPC.py'], pathex=['W:\\Tools\\Python\\Python3.5.2_64\\Scripts'], binaries=[(r'W:\Tools\Python\Python3.5.2_64\Lib\site-packages\PyQt5\Qt\bin\Qt...
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import unittest, os from Pygrad.Pygrad import Pygrad from Pygrad import utils #A class to test the setup and density functions. class TestSetup(unittest.TestCase): pygrad_home = os.getenv('PYGRAD_HOME') setupErrorPath = pygrad_home + '/tests/errors/setup/' densityTestPath = pygrad_home + '/tests/fortran_te...
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"""Wrappers for CloudWatch metrics""" # References for much of this can be found at # https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/cloudwatch.html#CloudWatch.Client.put_metric_data import functools import typing as ty from datetime import datetime from logging import getLogger import bo...
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from django.db import models # Create your models here. class Usuario(models.Model): username=models.CharField(max_length=250) email=models.EmailField() password=models.CharField(max_length=30) class Idea(models.Model): private=((1,"publica"),(2,"protegida"),(3,"privada")) texto=models.CharField(...
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# PathTagParser.py 10/04/2014 D.J.Whale # # Based on ideas from around 2008 # Turn tags into hierarchical paths, for event filtering and processing import os from .TagParser import TagParser def trace(msg): print(msg) def error(msg): print("ERROR:" + msg) class PathTagParser(TagParser): ...
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from vkbottle.user import User, Message user = User("da0f2da472f050977ddfc33dec8d5414797371305081a3ef009a631d139cd2bd5d9c3a7bdea06616824e8") @user.on.message_handler(text="!лп тест") async def wrapper(ans: Message): print("Что-то получиили") await user.api.messages.edit( peer_id=ans.peer_id,...
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import numpy as np import cv2 as cv Feed = cv.VideoCapture(0) Check = Feed.isOpened() if(Check): boolReturn,frame = Feed.read() while(boolReturn): boolReturn,frame = Feed.read() Background = frame cv.imshow('Video Feed',frame) key = cv.waitKey(1) ...
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from .common import * class LinearSolver(Enum): default = 0 mumps, petsc, superlu, umfpack = 1, 2, 3, 4 bicgstab, cg, gmres, minres, richardson, tfqmr = 5, 6, 7, 8, 9, 10 class Preconditioner(Enum): default = 0 none, icc, jacobi, ilu, sor = 1, 2, 3, 4, 5 amg, hypre_amg, petsc_amg = 6, 7, 8 ...
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import numpy as np from colorama import Fore, Style import os os.chdir("C:/Users/Lenovo/Documents/GitHub/python-eval/needleman_wunsch") mon_fichier = open("DATASET.txt", "r") #on le lit avec read. import ruler from ruler import Ruler contenu = mon_fichier.read() contenu = contenu.split() print(contenu) i=0 while i < ...
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from blessings import Terminal as term from random import randint board = [] for x in range(5): board.append(["O"] * 5) def print_board(board): for row in board: print(" ".join(row)) def random_row(board): return randint(1, len(board)) def random_col(board): return randint(1, len(board[0])) def ge...
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# import gzip import h5py import itertools import numpy import os import pandas from grocsvs import step from grocsvs import utilities from grocsvs import structuralvariants from grocsvs.stages import barcode_overlaps class SVCandidateRegionsStep(step.StepChunk): """ Takes the matrix of barcode overlaps an...
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import esutil from galpy.util import bovy_coords import apogee.tools.read as apread def readAndHackHoltz(): alldata= apread.allStar(adddist=True,distredux='v402') jk= alldata['J0']-alldata['K0'] data= alldata[(jk >0.8)*(alldata['DISO_GAL'] > 0.)] #To allow for XY pixelization, we will hack these dat...
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from django.shortcuts import render from django.http import HttpResponse from concurrent.futures import ThreadPoolExecutor from meal.api.openAPI import SchoolInfo, MealInfo from meal.DBmanager import School_Info_DB, BASED_INFO, USER_INFO import threading import json import datetime school_data_list = list() ATPT_OFCD...
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# Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. import time import h5py import math import argparse import numpy as np import os, sys, json import torch import ...
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# Copyright 2020 The Matrix.org Foundation C.I.C. # # 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...
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from rest_framework.authtoken.models import Token from rest_framework.response import Response from rest_framework import status from django.views.decorators.csrf import csrf_exempt from django.contrib.auth.models import User from django.shortcuts import render # Rest Framework Imports from rest_framework.decorators ...
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def solution(prices): answer = [] q = prices[:] while q: price = q.pop(0) res = 0 for n in q: res += 1 if price > n: break answer.append(res) return answer print(solution([1,2,3,2,3]))
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"""Movement Command functions.""" from character import Character def get_player_command() -> str: """Cue the user to select a direction, format the selection to lower case and return it. PRECONDITION: N/A POSTCONDITION: N/A RETURN: move as a lower-case string """ move = input("Enter 'quit' a...
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import os import json import pandas as pd import altair as alt import panel as pn from jinja2 import Environment, FileSystemLoader class TypeDashboard: def __init__(self, **kwargs): self.data_path = kwargs['data_path'] self.code_categoriejuridique_path = kwargs["type_code_labels_path"] ...
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# Generated by Django 3.1.7 on 2021-05-15 18:30 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Publisher', fields=[ ('id', models.AutoFiel...
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print(5/6, type(5/6)) print(3%1875, type(3%1875)) print(1234%10, type(1234%10))
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while True: try: a = float(input()) except: break ans = a for i in range(9): a = a*2*((i+1)&1)+a/3*(i&1) ans += a print("%.8f"%ans)
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import matplotlib.pyplot as plt # 设定x有值的地方 x = [1, 3, 5, 7, 9] # 设定y有值的地方 y = [4, 6, 2, 8, 9] # 画图 plt.bar(x, y) # x的范围[0,12],y的范围[0,10] plt.axis([0, 12, 0, 10]) # 展示图 plt.show()
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from business.TestWriteDataExcel import * import logging import logging.config import os # # # 将Excel数据文件加载到内存 # excelObj.loadWorkBook(dataFilePath) CON_LOG = '..\config\log.conf' log_file_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), CON_LOG ) logging.config.fileConfig(log_file_path) logging = logg...
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# -*- coding: utf-8 -*- # Generated by Django 1.11.15 on 2018-08-01 16:16 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('blog', '0004_remove_comic_created_at'), ] operations = [ migrations.DeleteModel( ...
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class Solution(object): def hammingWeight(self, n): """ :type n: int :rtype: int """ #方法一:先模2,然后右移一位 #x = x & (x-1) 去掉最右侧的 1 ,while(x!=0)即可 i = 0 while n != 0: n = n & (n-1) i+=1 return i
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# -*- coding: utf-8 -*- # @Author: JanKinCai # @Date: 2019-12-12 12:52:19 # @Last Modified by: JanKinCai # @Last Modified time: 2019-12-30 16:13:27 from __future__ import print_function # import sys import json # import traceback from typing import ( Callable, Optional, Any, Dict ) from interact.error import ...
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# -*- coding: utf-8 -*- """ Created on Sun Sep 6 17:58:55 2020 @author: Soaib Problem: sWAP cASE Link: https://www.hackerrank.com/challenges/swap-case/problem """ """" simple method: print(str.swapcase()) """ def swap_case(s): result = [] for i in s: if i.isupper(): result.append(i.low...
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""" @author: Andrea Domenico Giuliano @contact: andreadomenico.giuliano@studenti.unipd.it @organization: University of Padua """ import sqlite3 import datetime import Pikle_operations as p_o from Functions import Time_Calcolation as tc from Functions import Users_dict as u_d from Functions import Items_dict...
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#Program that stimulates how websites ensure everyone has unique usernames current_users = ['Kev', 'Jerry', 'Tate', 'Apple', 'Lewis'] current_users_copy = [user.lower() for user in current_users] # A copy list that contains usernames in lowercase new_users = ['Jenny', 'KEV', 'Ginny', 'Lewis', 'Pini'] for user in ne...
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from driver import start, load_urls undermine_url = "https://theunderminejournal.com/#malganis/item/%d" armory_url = "https://us.battle.net/wow/en/vault/character/auction/browse?itemId=%d&start=0&end=40&sort=unitBuyout&reverse=false" alt_armory_url = "https://us.battle.net/wow/en/vault/character/auction/browse?reverse...
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from django.contrib import admin from .models import * class HashTagAdmin(admin.ModelAdmin): list_display=('HashTag','TimeStamp') admin.site.register(QueryHashTag,HashTagAdmin)
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import flask from znail.netem.tcpdump import TcpDump from znail.ui import app @app.route("/capture.pcap") def capture(): with TcpDump("eth1") as generator: return flask.Response(generator, content_type="application/vnd.tcpdump.pcap"), 200
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print("Hello World!") p = "Hello World!" for c in p: print(c, end = '') print()
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import bottle @bottle.route('/') def home_page(): return "<html><body><b>Hello World</b></body></html>" @bottle.route('/testpage') def test_page(): return 'test page' # bottle.debug(True) bottle.run(host='localhost', port=8080)
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#scapy needed for packet sniffing and sending from scapy.all import * #threading for the two fucntions to run concurrently from threading import Thread #subprocess allows for terminal commands to execute from subprocess import Popen, PIPE #channel_hop_n_deth: rotates channels 1-11 infinitely, sending deauthenticat...
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import numpy as np import matplotlib import matplotlib.pyplot as plt def print_sim_matrix(sim_matrix): verticies = np.arange(len(sim_matrix)) fig, ax = plt.subplots(figsize=(10,10)) im = ax.imshow(sim_matrix) # We want to show all ticks... ax.set_xticks(np.arange(len(verticies))) ax.set_ytick...
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from typing import List from collections import defaultdict class Solution: def minAreaRect(self, points: List[List[int]]) -> int: d = defaultdict(set) for x, y in points: d[x].add(y) xs = sorted(d.keys()) m, n = float('inf'), len(xs) for i in range(n): for j in range(i): ys...
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class Solution(object): def maxProfit(self, prices): minPrice = 9999999 maxProfit = 0 for i in range(len(prices)): profit = prices[i]-minPrice if prices[i]<minPrice: minPrice = prices[i] elif profit>maxProfit: maxProfit = pr...
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## remove loop in linked list | 2nd approach class Node: ''' a node class. ''' def __init__(self, data): ''' Function to initialize the Node class object. Arguments: self -- represents the object of the class. data -- int, value to be added to the node. ...
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import torch import random import time import os import argparse import sys import numpy as np from utils.misc import set_global_seeds, save_config, validate_config, check_device from utils.dataset import Dataset from models.Seq2seq import Seq2seq from trainer.trainer import Trainer def load_arguments(parser): """...
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from selenium import webdriver from selenium.webdriver.common.keys import Keys from selenium.webdriver.support.ui import Select from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.support.ui import WebDriverWait import time , os , shutil dir_path = os.path.dirname(os.path.realpath...
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import time import json from chatterbot import ChatBot from chatterbot.conversation import Statement from chatterbot.trainers import ChatterBotCorpusTrainer from classifier import ClassificationAgent from extractions import ExtractionAgent from flask import Flask, render_template, request from spade import quit_spade ...
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""" Simple logistic regression implementation """ import numpy as np from optimizers import adam_opt def logistic_reg(lr, XC, yn, v_XC, v_yn, pb, s2b): """ Logistic regression for beta. """ # Init variables M, D = XC.shape beta_opt = adam_opt(lr=lr) # Init beta e_beta = np.random.randn...
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import numpy as np import torch import gym import argparse import os import gym_ergojr from common.agents.ddpg.replay_buffer import ReplayBuffer from common.agents.ddpg.ddpg import DDPG import common.randomizer from common.randomizer.wrappers import RandomizedEnvWrapper from common.adr.adr import ADR import multiproces...
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# # Copyright 2016 RIFT.IO Inc # # 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 t...
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""" Nicolas Masse 2017 Contributions from Gregory Grant, Catherine Lee Modified in Feb 2018 by Pantea Moghimi to create a model for RL Based on the 'Song, Yang, and Wang, 2017, eLife' paper Class Model constructs two recurrent networks: the policy network and the value networks """ import tensorflow as tf import nump...
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""" Network Planning in Four Dimensions - np4d Written by Edward Oughton November 2019 Oxford, UK """ from shapely.geometry import Point, LineString, mapping import numpy as np from itertools import tee from np4d.path_loss import path_loss_calculator def estimate_link_budget(model, receiver, site, frequency, bandw...
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from bs4 import BeautifulSoup from pprint import pformat from lxml import html import sys import json import urllib.parse import requests import logging import datetime logging.basicConfig(filename='app.log', filemode='w', format='%(name)s - %(levelname)s - %(message)s', level=logging.DEBUG) NIFTY_PERFORMANCE = None ...
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numeros = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] #Recordar que para obtener el elemento de un índice concreto print("Dato en indice 3: "+str(numeros[3])) #Sin embargo, para seleccionar del 1 al 5 utilizariamos seleccion=numeros[1:6] #El número de comienzo está incluido, pero el último no está incluido print("Lista de...
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import numpy as np import matplotlib import os matplotlib.use('Agg') import matplotlib.pyplot as plt from args import get_args class ToyData: def __init__(self, load_saved=False, path='./data', batch_size=32): self.start = 0 self.end = batch_size self.batch_size = batch_size self....
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import turtle #definit le dossier où sont les images dir = "img/" #taille des images en pixels imgSize = 100 #definit la taille de l'ecran turtle.setup(1000,1000) screen = turtle.Screen() #Images correspondantes aux cases green = dir+"cases/green.gif" screen.addshape(green) red = dir+"cases/red.gif" screen.addshape...
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l=list(map(int,input().split())) k=l[0] n=l[1] w=l[2] sum=0 for i in range(1,w+1): sum=sum+i*k if(sum-n>=0): print(sum-n) else: print(0)
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from django import forms from contact.models import Feedback class FeedbackForm(forms.ModelForm): class Meta: model = Feedback fields = ('name', 'email', 'subject', 'description') def __init__(self, *args, **kwargs): super(FeedbackForm, self).__init__(*args, **kwargs) for fie...
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import os from Assentos import Assentos from ControladorAssentos import ControladorAssentos from interfaceConsole import interfaceConsole os.chdir(r"C:\Users\xandy\Desktop\cinema") interfaceconsole = interfaceConsole() interfaceconsole.main()