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''' Given an integer n, return the least number of perfect square numbers that sum to n. A perfect square is an integer that is the square of an integer; in other words, it is the product of some integer with itself. For example, 1, 4, 9, and 16 are perfect squares while 3 and 11 are not. ''' #BFS from collections ...
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# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'alarme.ui' # # Created by: PyQt5 UI code generator 5.14.2 # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore, QtGui, QtWidgets class Ui_Dialog(object): def setupUi(self, Dialog): Dialog.setObjec...
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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import copy import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload fr...
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names = ["death note", "netflix", "teaching"] print ("Hi there, here your favorite things so far") print (*names, sep=",") #separator hobby = input ("name on thing you want to add ") names.append (hobby) print(*names, sep=",")
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import os import csv import pandas as pd def obtener_dato(path,num): with open(path) as csv_file: csv_reader = csv.DictReader(csv_file) data = [*csv_reader] return data[num]['text'] def read_pandas(path, inicio, fin): return pd.read_csv(path)['text'].iloc[inicio:fin] if __name__ == ...
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""" PDF Service dedicated for generating a PDF Invoice of a predetermined format with the given details """ from django.conf import settings from django.utils import timezone from datetime import timedelta from reportlab.lib.pagesizes import letter, A4 from reportlab.lib.units import cm, inch from reportlab....
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# ask the user for a start number and store it def get_start_stop(): ''' obtains start and stop number from the user''' start_number = int(input("Enter a reasonable number to be used as your start number: ")) stop_number = int(input("Enter another reasonable number to be used as your start number: ")) n...
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plot_generator.py
import matplotlib.pyplot as plt from matplotlib.ticker import MaxNLocator from data_extractor import get_one_song_per_genre, get_songs_genre, get_songs_genres GENRES = ['classical', 'country', 'edm_dance', 'jazz', 'kids', 'latin', 'metal', 'pop', 'rnb', 'rock'] def plot_two_feature_vectors_one_song_per_genre(featur...
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a=90 b=55 c=a-b print(c)
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# coding: utf-8 import scipy.io as scio import os from PIL import Image img_list = [] path = r'/data/zhangshihao/ASOCT-new/data/dataset_16_LGC_final/data' for root, dirs, files in os.walk(path): for file in files: if os.path.splitext(file)[0][-2:] == '_1': img_list.append(file) f...
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test_util.py
import unittest from memsim import util class TestUtil(unittest.TestCase): def test_log2(self): self.assertEqual(util.log2(0), 0) self.assertEqual(util.log2(5), 3) self.assertEqual(util.log2(7), 3) self.assertEqual(util.log2(8), 4) def test_rp2(self): self.assertEqu...
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coursera_search.py
from unittest import TestCase import unittest from selenium import webdriver from selenium.webdriver.common.keys import Keys __author__ = 'la0rg' class CourseraSearchTest(TestCase): def setUp(self): self.driver = webdriver.Firefox() self.my_url = "https://www.coursera.org/" def test_site(se...
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# -*- coding: utf-8 -*- # @Time : 2017/10/30 下午12:21 # @Author : SkullFang # @Email : yzhang_wy@163.com # @File : test1.py # @Software: PyCharm from urllib import request from urllib.error import HTTPError,URLError from bs4 import BeautifulSoup import datetime import re # print(i) # url = "http://industry.wa...
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lst=[0,1,0,1,0,1,0,1,0,1,0] lst1=[num for num in lst if num==0 ]+[num for num in lst if num==1 ] print(lst1)
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django_tag_parser.py
# coding=utf-8 """Helper for parsing tags.""" import typing from django.template.base import FilterExpression, token_kwargs from django.template.exceptions import TemplateSyntaxError class ParsedArguments(object): """Represents parsed arguments.""" def __init__(self, parameters: typing.Mapping[str, FilterExpr...
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cleandeletedjob.py
# api for vendor import redis #r = redis.Redis(host = '192.168.2.29', port = 2019, db = 0); r = redis.Redis(host = '127.0.0.1', port = 2019, db = 0); job_key_pattern = 'job-*' job_keys = r.keys(job_key_pattern) for job_key in job_keys: job_key = job_key.decode() state = r.hget(job_key, 'state').decode() if ...
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2023-01-19T13:40:31.856456
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FactoWidRecurssion.py
def facto(n): if n == 0: return 1 return n * facto(n-1) result = facto(5) print(result)
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test_iperf.py
#!/usr/bin/env python3 # -*- coding: utf-8 -*- import os import time import uniflex_module_iperf ''' Direct module test; without framework. Req.: Iperf has to be installed: apt-get install gnuradio ''' if __name__ == '__main__': startServer = False startClient = True iperf = uniflex_module_iperf...
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getname.py
# !/usr/bin/env python # -*- coding:utf-8 -*- """ ------------------------------------------------- File Name: getname Description : Author : simplefly date: 2018/1/23 ------------------------------------------------- Change Activity: 2018/1/23: ---------------------...
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0009_auto_20160613_2214.py
# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations from django.utils.timezone import utc import datetime class Migration(migrations.Migration): dependencies = [ ('myblog', '0008_introduce'), ] operations = [ migrations.AlterModelOpti...
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/triad/test_vectors/triad.py
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2023-08-27T21:55:43.032819
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0
0
null
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triad.py
import sys sys.path.insert(0, '../../') from common import * def setup(k, iv): s = [0] * 256 s[0:8] = iv[0:8] s[8:16] = k[32:40] s[16:24] = [1]*8 s[24:32] = k[24:32] s[32:40] = [1]*8 s[40:48] = k[16:24] s[48:56] = [1]*8 s[56:64] = k[8:16] s[64:72] = [1, 1, 1, 1, 1, 1, 1, 0] ...
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1.3.3.py
from itertools import groupby def find_long_cons_sub(s): class Key(object): ''' The Key function returns 1: For Increasing Sequence 0: For Decreasing Sequence ''' def __init__(self): self.last_char = None def __call__(self, char): ...
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bdRigFingersRD.py
import bdRigUtils import pymel.core as pm reload(bdRigUtils) def bdAddAllFingerAttr(side): fingerAnim = pm.ls(side + '_Fingers_CON',type='transform')[0] fingerList = ['Index','Middle','Ring','Pinky','Thumb'] attrList = ['SpreadMeta','Spread','Curl','Scrunch','Twist','BendMeta','Bend'] for finger in fingerList: ...
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# -*- coding: utf-8 -*- """ Created on Mon Feb 1 16:09:21 2021 @author: JARBY II """ def sumar(op1, op2): print('El resultado de la suma es: ', op1+op2) def restar(op1, op2): print('El resultado de la resta es: ', op1-op2) def multiplicar(op1, op2): print('El resultado de la multiplicación es: ...
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__init__.py
''' .. module:: dsge :platform: Linux :synopsis: The dsge module is just a package which contains all of the modules required to do DSGE modelling, that is solving them and then doing further work with the obtained solutions, such as simulating and generating IRFs. .. moduleauthor:: Eric M. Scheffe...
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jominjimail/python_proj
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158,788,973
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maze.py
import queue import copy import heapq import sys sys.setrecursionlimit(100000) dx =[1,0,0,-1] dy=[0,1,-1,0] class PriorityQueue: pq=[] elements={} task=0 def insert(self , priority,x_val,y_val): entry = [priority, self.task,x_val,y_val] self.elements[self.task]=entry heapq.hea...
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main.py
""" Implements a Neural Network """ from vectorflux import VectorFlux from mnist import read, show, normalize from vectorflux.layers import Dense from vectorflux.layers.Dropout import Dropout train = list(read('train')) test = list(read('test')) print("Train size: {}".format(len(train))) print("Test size: {}".forma...
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Mailman_Downloader.py
import messages import os import requests from bs4 import BeautifulSoup URL = "https://mailman.kcl.ac.uk/mailman/" ADMIN = "admin/" ROSTER = "roster/" OUTPUT_FOLDER = "../output/" def makeoutput(path): if os.path.exists(path): pass else: os.mkdir(path) def mailinglist_cookies(mailinglist, password): # this o...
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from tkinter import * global math root = Tk() root.title("Calculator") e = Entry(root,width=60,borderwidth=5) e.grid(columnspan=3) def button_click(number): #e.delete(0, END) current = e.get() e.delete(0, END) e.insert(0, str(current) + str(number)) def button_clear(): e.delete(0, END) ...
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check_image.py
""" Image Check / Compress Image""" import re import os from PIL import Image from common.constant import PATH def check_image(file_type): match = re.match("image/*", file_type) return match def compress_image(data): with open(PATH.format(data['name']), 'wb+') as file: file.write(data['binary'...
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#!/usr/bin/python # coding: utf-8 from os.path import dirname, abspath PICKITEMSP = True RAREP = True REPAIRP = False ITEMS = { "legendary": ["#02CE01", # set "#BF642F"], # legndary "rare": ["#BBBB00"] } current_abpath = abspath(dirname(__file__)) + "/" # Wi...
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from application.processing_data.twitter import TwitterAPIv2 from azure.ai.textanalytics import TextAnalyticsClient from azure.core.credentials import AzureKeyCredential from .twitter import TwitterAPIv2 categories={ 'Noise Complaints': { 'loud', 'party', 'noisy', 'noise', '...
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from __future__ import print_function import ot import torch import numpy as np from sklearn.neighbors import KernelDensity from torch.utils.data import Dataset import jacinle.io as io import optimal_transport_modules.pytorch_utils as PTU import optimal_transport_modules.generate_data as g_data from optimal_transport_m...
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clienttaskstatus.py
""" 采集端任务状态统计 直接在数据库查找数据 create by judy 2018/10/22 update by judy 2019/03/05 更改统一输出为output """ from datetime import datetime import time import traceback import pytz from datacontract import ETaskStatus from datacontract.clientstatus.statustask import StatusTask from idownclient.clientdbmanager import DbManager from...
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from flask import Flask, redirect, render_template, request, session import yaml from mendeley import Mendeley from mendeley.session import MendeleySession from sklearn.linear_model import LogisticRegression from sklearn.svm import OneClassSVM from sklearn.svm import SVC from sklearn.model_selection import Randomized...
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#!/usr/bin/env python import vtk from vtk.util.misc import vtkGetDataRoot VTK_DATA_ROOT = vtkGetDataRoot() # Create renderer stuff # ren1 = vtk.vtkRenderer() renWin = vtk.vtkRenderWindow() renWin.AddRenderer(ren1) iren = vtk.vtkRenderWindowInteractor() iren.SetRenderWindow(renWin) # Pipeline stuff # torus = vtk.vtkSup...
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from django.db import models # Create your models here. class New(models.Model): name = models.CharField(max_length = 50, null = False) class Meta: db_table = "news" class Tag(models.Model): name = models.CharField(max_length = 50, null = False) news = models.ManyToManyField("New", related_n...
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from django.http import HttpResponse from django.template import loader from django.template.loader import get_template # def index(request): # latest_question_list = ['a','b','c'] # template = loader.get_template('product/index.html') # context = { # 'latest_question_list': 'string', # } # ...
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tkinterWindow.py
# -*- coding: utf-8 -*- """ Sogang University Datamining Laboratory FileName: tkinterWindow, window view Author: Sogo Start Date: 15/02/08 Copyright (c) Sogang University Datamining Lab All right Reserved """ import Tkinter as tk from Tkinter import * import tkFileDialog as filedialog #import Image ...
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from flask import render_template, request, redirect, url_for from flask_login import login_user, logout_user, login_required, current_user from application import app, db from application.auth.models import User,groups from application.group.models import Group from application.fish.models import Fish from applicatio...
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import socketserver import json,os import hashlib,re import settings STATUS_CODE = { 200 : "Task finished", 250 : "Invalid cmd format, e.g: {'action':'get','filename':'test.py','size':344}", 251 : "Invalid cmd ", 252 : "Invalid auth data", 253 : "Wrong username or password", 254 : "...
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#!/usr/bin/env python import time import grove.grovepi # Connect the Grove Light Sensor to analog port A0 light_sensor = 0 # Connect the LED to digital port D4 led = 4 # Turn on LED once sensor exceeds threshold resistance threshold = 10 grove.grovepi.pinMode(light_sensor,"INPUT") grove.grovepi.pinMode(led,"OUTPUT...
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import urllib.request as urllib2 from lxml import html import re import os # 获取笑话的url:http://xiaohua.zol.com.cn/lengxiaohua/ # 第一页:http://xiaohua.zol.com.cn/lengxiaohua/ # 第二页:http://xiaohua.zol.com.cn/lengxiaohua/2.html # 获取详情的url:http://xiaohua.zol.com.cn/detail60/59364.html # 笑话内容链接列表: //span[@...
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#!/usr/bin/env python def func2(): print "Function 2 in whatever.py module" def main(): print "Executable Code in Whatever.py" if __name__ == "__main__": main()
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# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # https://docs.scrapy.org/en/latest/topics/items.html import scrapy class DataItem(scrapy.Item): # define the fields for your item here like: # name = scrapy.Field() pass class LicenseTableLine(scrapy.Ite...
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for i in range(13): for t in range (13): print("{}x{}={}".format(i,t,i*t))
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from unittest import mock import io import os import sys import logging import uuid import platform import warnings from terra.core.exceptions import ImproperlyConfigured from terra import settings from .utils import TestCase, make_traceback, TestLoggerConfigureCase from terra import logger from terra.core.exceptions ...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from snippets.models import Snippet from snippets.serializers import ( SnippetSerializer, UserSerializer, SignUpSerializer ) from rest_framework import generics from django.contrib.auth.models import User from rest_framework import permissions...
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""" Test algorithms that compute NetworkX Markov tree feasibility. """ from __future__ import division, print_function, absolute_import import itertools import networkx as nx from numpy.testing import (run_module_suite, TestCase, decorators, assert_, assert_equal) import nxmctree from nxmctree.dynamic_fset_...
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import addict x = addict.Dict() x.a.b.c.d = 1 print(x.a.b.c.d) from PyQt5.QtWidgets import QWidget class myClass(QWidget): def __init__(self, x, y): super(QWidget).__init__() self.sum = x + y x = myClass(5,6) print(x.sum)
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plots.py
from PyQt4.QtCore import SIGNAL from PyQt4.QtGui import QMenu, QWidget, QApplication, QHBoxLayout, QComboBox, QLabel from matplotlib.backends.backend_agg import FigureCanvasAgg from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas from matplotlib.figure import Figure, SubplotParams from matpl...
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from tkinter import Tk import matplotlib as mpl import numpy as np from mywidgets import MatplotFrame tk = Tk() mf = MatplotFrame(tk) mf.pack(expand=True, fill='both') xx = np.linspace(0,5,1000) yy = np.sin(xx) fig = mpl.figure.Figure() ax = fig.add_subplot(111) ax.plot(xx,yy) ''' test superpo...
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""" @file : CNN.py @brief : Convolution Neural Network with theano @author : Ernest Yeung ernestyalumni@gmail.com @date : 20170802 @ref : cf. https://github.com/ernestyalumni/MLgrabbag/tree/master/ML If you find this code useful, feel free to donate directly and easily at this direct PayPal link: ...
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class School: def __init__(self,name,addr,type): self.name = name self.addr = addr self.type = type def __repr__(self): return 'School(%s,%s)' %(self.name,self.addr) def __str__(self): return '(%s,%s)' %(self.name,self.addr) s1=School('小猿圈','北京','私立') ''' str函数或者pri...
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info_1 = input().split() info_1 = [int(x) for x in info_1] info_2 = input().split() info_2 = [int(x) for x in info_2] input_list = [info_1, info_2] for i in range(info_1[1]): info = input().split() info = [int(x) for x in info] input_list.append(info) if input-list == [[4, 5, 2], [6, 4, 5, 2], [1, 2, 8], [2...
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# coding=utf-8 twitter = dict( consumer_key = 'App consumer key', consumer_secret = 'App secret', access_token = 'Account access token', access_token_secret = 'Account access token secret' ) candidates = [] """ Candidates for twitter search candidates = ['Name Lastname', 'Lastnames', 'twitterUsername'] """ exclud...
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# Carol Treacy # write a program that takes a positive floating point number as input and # outputs an approximation of its square # python squareroot.py # please enter a postive number 14.5 # The square root of 14.5 is approx 3.8 import math number = int(input("positive number to be square rooted :" )) # postive ...
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# pylint: disable=broad-except from operator import itemgetter from os.path import expanduser from typing import Any, Callable, Dict, Mapping, Optional, Sequence import argparse import json import logging import sys from . import YouTube from .constants import (EXTRACTED_THUMBNAIL_KEYS, HISTORY_ENTRY_KEYS_TO_SKIP, ...
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import sys read = sys.stdin.buffer.read readline = sys.stdin.buffer.readline readlines = sys.stdin.buffer.readlines a, b = map(int, read().split()) def f(a, b): if a <= 0 <= b: return 0 if a > 0: return 1 b = min(b, -1) n = b - a + 1 return (-1) ** n words = ['Zero', 'Positive', ...
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import pygame import time import game_functions as gf from game_settings import GameSettings from ship import Ship from pygame.sprite import Group def run_game(): pygame.init() gs = GameSettings() screen = gf.create_screen(gs.screen) ship = Ship(gs.ship, screen) bullets = Group()...
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import gspread import json import os import pathlib from oauth2client.service_account import ServiceAccountCredentials def update_status_sheet(info={}, index_key="", sheet_key="", json_file=""): scope = [ "https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/drive", ] ...
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# -*- coding:utf8 -*- # File : out.py # Author : Jiayuan Mao # Email : maojiayuan@gmail.com # Date : 3/2/17 # # This file is part of TensorArtist. from tartist.data.rflow import control, OutputPipe import time import numpy q = OutputPipe('tart.pipe.test') with control(pipes=[q]): while True: data =...
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import random random.seed( 10 ) def value_function_init(): V = {} # Value Function for useful_arc in [True, False]: for Dealer_Card_Index in range(1, 11): #[1,10] for Player_Sum_Index in range(1, 22): #[12,21] V[(useful_arc, Dealer_Card_Index, Player_Sum_Index)]...
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# coding=utf-8 from __future__ import unicode_literals import datetime from django.db import models from django.contrib.auth.models import User # Lista "ENUM" para genero GENEROS = ( ('M', 'Masculino'), ('F', 'Femenino'), ) # Modelo de usuarios del sistema class usuariosModel(models.Model): class Meta: ...
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Avg Marks Calc.py
# Python Programarks to Calculate Average and Percentage marksarks # Taking Input for the total subject marks Name= input("Enter Age: ") print("Enter marksarks Obtained in 5 Subjects: ") marksOne= int(input("Enter Englsih : ")) marksTwo= int(input("Enter Math: ")) marksThree= int(input("Enter Hindi: " )) marksF...
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from channels import route from .consumers import ws_connect, ws_disconnect, ws_receive, chat_join, chat_leave, chat_send websocket_routing = [ route("websocket.connect", ws_connect), route("websocket.receive", ws_receive), route("websocket.disconnect", ws_disconnect), ] custom_routing = [ route("cha...
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"""Read config files from: - /service.conf (added by user) - /etc/service.conf (an example is placed here by the Dockerfile) """ from configparser import ConfigParser import os HERE = os.path.dirname(os.path.abspath(__file__)) def read_config(): parser = ConfigParser() places = ['/service.conf', ...
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string="Thisisastring" for i in range(0,len(string)): flag=0 for j in range(0,len(string)): #checking if two charactors are equal if(string[i]==string[j] and i!=j): flag=1 break if(flag==0): print(string[i],end="")
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from . import views from django.urls import path app_name = "images" urlpatterns = [ path( "", view=views.Feed.as_view(), name='feed' ), path( "<int:image_id>/", view=views.ImageDetail.as_view(), name='image_detail' ), path( "<int:image_id>/li...
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from django import template register = template.Library() @register.inclusion_tag('page.html') def page(num): return {'num':range(1,num + 1)}
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alarm.py
inp = raw_input().split(' ') a = int(inp[0]) b = int(inp[1]) if 45 <= b: b -= 45 print str(a)+' '+str(b) elif 45 > b: if a==0: a=24 a -= 1 b = 60-(45-b) print str(a)+' '+str(b) else: a -= 1 b = 60-(45-b) print str(a)+' '+str(b)
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names.py
#List of Names for NPC generation #author: amesen MNAMES = { 0:'Ljubisa', 1:'Clay', 2:'Steve', 3:'Antonio', 4:'Aiden', 5:'Jacob', 6:'Mason', 7:'Jayden', 8:'Hunter', 9:'Nathan', 10:'Charles', 11:'???', 12:'Trevor', 13:'Elijah', 14:'Daniel', 15:'Nahum', 16:'Fred', 17:'George', 18:'Max', 19:'John', 20:'Judas' } mnumber ...
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reduce_prod.py
import tensorflow as tf import numpy as np def reduce_prod(x, axis, name=None): ''' Uses tf.cumprod and tf.gather_nd as a workaround to the poor performance of calculating tf.reduce_prod's gradient on CPU. ''' with tf.name_scope(name or "c_reduce_prod"): cp=tf.math.cumprod(x, axis, reverse...
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import torch class SequenceWise(torch.nn.Module): """ Collapses input of dim (sequences x batch_size x num_features) to (sequences * batch_size) x num_features, and applies to a module. Allows handling of variable sequence lengths and minibatch sizes. Args: module: Mod...