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from django.shortcuts import render from django.http import HttpResponse from infer import SeqModel import json seq2seq = SeqModel() metadata = seq2seq.load_data() seq2seq.load_model(metadata) # Create your views here. def index(request): query = request.GET.get('query', '') qa_pair = {} qa_pair['query'] = query ...
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"""Hours statistics from Tock exports""" from collections import Counter from csv import DictReader import sys def file_to_counter(filename): """Read CSV, convert it to a counter of hours by project""" counter = Counter() with open(filename) as csvfile: reader = DictReader(csvfile) for row...
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import re import time import requests import matplotlib.pyplot as plt # This program uses a russian proxy IP address # Because i got banned from www.iplocate.io # Current proxy worked for me at least # Use your default IP address by removing proxies parameter from requests.get(url,proxies).json() (line 30) file = o...
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from django.contrib import admin #from parler.admin import TranslatableAdmin from .models import Category, Product # Register your models here. @admin.register(Category) class CategoryAdmin(admin.ModelAdmin): list_display = ['name', 'slug'] prepopulated_fields={'slug': ('name',)} # return {'slug': ('name...
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# -*- coding: utf-8 -*- import scrapy from jd_goods.items import JdGoodsItem from urllib.parse import urlencode import re import json class GetGoodsSpider(scrapy.Spider): name = 'get_goods' # allowed_domains = ['jd.com'] # https://search.jd.com/Search?keyword=huwwei_p30pro def start_requests(self): ...
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# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else [] PROJECT_CATKIN_DEPENDS = "".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else [] PROJECT_NAME = "catkin_tools_prebuild" PROJECT_SPACE_...
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def DPmethodForFrog2(N,h,K): max_val = 10000000000 dp = [max_val]*(10**5 + 1) dp[0] = 0 for i in range(N-1): # if i+1 <= K: # for j in range(i+1): # if dp[i+1] > dp[j]+abs(h[i+1] - h[j]): # dp[i+1] = dp[j] + abs(h[i+1]-h[j]) # else: ...
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''' Created on 03.11.2017 @author: zhechkoz ''' import sys import datetime class CEGraph(object): def __init__(self, project, author): self.author = author self.date = datetime.date.today() self.project = project self.nodes = {} self.segments = {} self.OSMOID = {} ...
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import cv2 import os import numpy as np import cPickle def main(): #move_pics() #make_avg_background() #find_contours_with_background() find_contours_with_adaptive_thresholding() find_contours_with_otsu_thresholding() #find_contours_vanilla() def move_pics(): pics = dict() for folder in ['fly_with_food_still...
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#!/usr/bin/env python import unittest import urllib2 import time from flask import Flask from flask_socketio import SocketIO, emit from socketIO_client import SocketIO, LoggingNamespace from socketio import packet import socket app = Flask(__name__) class FlaskTests(unittest.TestCase): global result result = ...
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#coding:utf-8 import pandas as pd import sys reload(sys) sys.setdefaultencoding('utf8') ori_qa = pd.read_csv("qa.csv",header=None, sep=",") querys = list(ori_qa[0]) answers = list(ori_qa[1]) you_str = "#".join(list(pd.read_csv("you.csv",header=None, sep=",")[0])) #替换所有的称谓 for i in range(0,len(querys)): querys[i] ...
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""" WSGI config for emplay project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/1.9/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault("DJANGO_SETTIN...
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import os import numpy as np import re import spacy import urllib.request def poem_generator(file, word, n_sents=4): nlp = spacy.load("es") init_str = nlp(word)
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import numpy as np import cv2 img = cv2.imread("faces.jpg",1) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) path = "haarcascade_eye.xml" eye_cascade = cv2.CascadeClassifier(path) eyes = eye_cascade.detectMultiScale(gray, scaleFactor=1.02,minNeighbors=20,minSize=(10,10)) print(len(eyes)) for (x,y,w,h) in ey...
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import os, os.path import math import numpy import cPickle as pickle from matplotlib import pyplot from optparse import OptionParser from scipy import optimize, special from galpy.util import bovy_coords, bovy_plot def plotSigzFunc(parser): (options,args)= parser.parse_args() if len(args) == 0: parser.p...
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import requests, json response = requests.get( 'https://www.flickr.com/services/rest/?method=flickr.photos.getPopular&api_key=22a1377a56b4c384b61b723a80a73492' '&user_id=193065083%40N04&format=json&nojsoncallback=1') print(response.json())
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import sys from time import sleep import pygame from bullet import Bullet from alien import Alien # The sys module is used to exit the game when the quits. # The pygame module contains the functionality needed to make a game. def check_events(ai_settings, screen, stats, sb, play_button, ship, aliens, bu...
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from flask import Flask from flask_sqlalchemy import SQLAlchemy from flask_bootstrap import Bootstrap from flask_login import LoginManager from flask_bcrypt import Bcrypt import pymysql pymysql.install_as_MySQLdb() app = Flask(__name__) app.secret_key = 'david' app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql://root:ro...
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#!/usr/bin/python # -*- coding: utf-8 -*- import Queue import threading import time ip_queue = Queue.Queue() class Ping(object): def __call__(self): while 1: if not ip_queue.qsize(): break ip = ip_queue.get() time.sleep(1) print ip if __n...
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#!/usr/bin/env python import sys, os import numpy as np def maxsoftfunc(x): return np.exp(x) / np.sum(np.exp(x)) def main(): array = [0.1, 1.1, 2.1] ans = maxsoftfunc(array) print(ans) total = 0 for i in ans: total += i print(total) if __name__=="__main__": main()
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[ "MIT", "Python-2.0" ]
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2022-10-22T08:46:36.872543
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import heapq heapq.heapify([0, 9, 1, 8, 7, 3]) print("Done!")
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from itertools import repeat print ("Printing the numbers repeatedly : ") print (list(repeat(25, 4)))
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2020-03-19T01:04:25.914342
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import os import sys import stat from os.path import abspath import fnmatch import collections import errno try: import zlib del zlib _ZLIB_SUPPORTED = True except ImportError: _ZLIB_SUPPORTED = False try: import bz2 del bz2 _BZ2_SUPPORTED = True except ImportError: _BZ2_SUPPORTED = Fa...
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# Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distrib...
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#!/usr/bin/python #-*- coding:utf-8 -*- #author : Jollen Wang #date : 2016/05/10 #version: 1.0 ''' 题目:利用条件运算符的嵌套来完成此题:学习成绩>=90分的同学用A表示,60-89分之间的用B表示,60分以下的用C表示。 ''' def main(): score = int(raw_input("$>Enter the score:")) print "grade=", if score >= 90: print "A" elif score >= 60: pri...
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""" Custom model fields to link to CMS content. """ from django.core.exceptions import ValidationError from django.core.validators import URLValidator from django.db import models from any_urlfield.models.values import AnyUrlValue from any_urlfield.registry import UrlTypeRegistry class AnyUrlField(models.CharField): ...
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import requests from bs4 import BeautifulSoup import numpy as np import pandas as pd url = "https://www.ptt.cc/bbs/joke/index.html" response = requests.get(url) html_doc = response.text # text 屬性就是 html檔案 soup = BeautifulSoup(response.text, "html.parser") post_author = [] #建立一個空的 list 放作者 id recommend = [] # 放推文數 p...
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#!flask/bin/python from app import * if __name__ == "__main__": app.run()
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import AnalysisHelpers as AH import ROOT import Analysis import math #====================================================================== class susyAnalysis(Analysis.Analysis): """Semileptonic susyAnalysis loosely based on the ATLAS analyses of top pair events where one W boson decays to leptons and o...
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import xlrd from win32com import client as wc from docx import Document kinship,amend = {},{} name,num,mynum,col_index,margin,mf_list,ROW = [],[],[],[],[],[],[] # def doSaveAas(): # word = wc.Dispatch('Word.Application') # doc = word.Documents.Open(u'aaaa.doc') # 目标路径下的文件 # doc.SaveAs(u'E:\\bin\\tuokoulv\\aaaa.docx', ...
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import random import math import pandas as pd import numpy as np from sklearn import preprocessing import matplotlib.pyplot as plt from matplotlib import cm from mpl_toolkits.mplot3d import axes3d, Axes3D plt.switch_backend('agg') random.seed(311) def generate(radius, centre): alpha = 2 * math.pi * random.random()...
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ternaus/kaggle_ultrasound
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from __future__ import division """ This script makes train data less noisy in a way: Finds similar images assigns to these clusters of images max mask """ import networkx as nx import os import pandas as pd from tqdm import tqdm from PIL import Image import glob import pandas as pd import cv2 import os import numpy...
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[]
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ibadami/MobileNet_v2
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"""MobileNet v2 model for TFLearn. # Reference [MobileNetV2: Inverted Residuals and Linear Bottlenecks] (https://arxiv.org/abs/1801.04381) _author__ = "Ishrat Badami, badami@nevisq.com" """ from tflearn.layers.conv import conv_2d, grouped_conv_2d, global_avg_pool from tflearn.layers.core import dropout, reshape,...
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from statistics import median n=int(input()) arr=[int(x) for x in input().split()] arr.sort() t=int(len(arr)/2) if len(arr)%2==0: L=arr[:t] U=arr[t:] else: L=arr[:t] U=arr[t+1:] print(int(median(L))) print(int(median(arr))) print(int(median(U)))
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match_ # 正则检查需要被变复数的单词 apply_ # 以正则方式替换 import re def match_sxz(noun): return re.search('[sxz]$', noun) def apply_sxz(noun): return re.sub('$', 'es', noun) '''rules函数列表''' rules = ((match_sxz, apply_sxz), (match_h, apply_h), (match_y, apply_y), (match_default, apply_default) ) def plural(nou...
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# -*- coding: utf-8 -*- # This sample demonstrates handling intents from an Alexa skill using the Alexa Skills Kit SDK for Python. # Please visit https://alexa.design/cookbook for additional examples on implementing slots, dialog management, # session persistence, api calls, and more. # This sample is built using the ...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- def plus(a, b): return a + b def handleMemo(_list): if len(_list) == 1 or _list[0] == '': return # for idx, val in enumerate(tempLine): # if idx >= 4: # tempLine[idx] = val.replace(" ", ",") # return tempLine # ref. ht...
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def square(num): return num * num s = square # function is assigned to a variable, and later can be excuted print(s(5))
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import tests.model_control.test_ozone_custom_models_enabled as testmod testmod.build_model( ['Quantization'] , ['Lag1Trend'] , ['NoCycle'] , ['NoAR'] );
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""" -------------------------------------------------------- Author: Matt Hancock, not.matt.hancock@gmail.com -------------------------------------------------------- This python module implements an (ORM) object relational mapping to an sqlite database containing the annotation information from the XML files provid...
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import setuptools from pyjdbcconnector import __version__ # read the contents of your README file from os import path this_directory = path.abspath(path.dirname(__file__)) with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f: long_description = f.read() setuptools.setup( name='pyjdbcconne...
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from lib import db def get(route_id): return db.get_one("SELECT * FROM routes where route_id = '%s';" % route_id) def get_paths(route_id): return db.get_many(""" SELECT shape_id, points.point_id, shape_pt_sequence, point_lon, point_lat FROM shapes JOIN points...
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nome = str(input('Digite seu nome: ')).strip().split() print('Seu primeiro nome é {}'.format(nome[0])) print('Seu último nome é {}'.format(nome[len(nome)-1]))
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# Licensed to the StackStorm, Inc ('StackStorm') under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use th...
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goal, city= map(int, input().split()) info=[] INF=987654321 dp=[0] + [INF]* 2000 for _ in range(city): tmp =list( map(int,input().split())) info.append(tmp) for cost, people in info: for i in range(people, goal + people): dp[i]= min(dp[i],dp[i-people]+cost) print(min(dp[goal:]))
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import speech_recognition as sr r = sr.Recognizer() m = sr.Microphone() try: print("Geting ambinent noise") with m as source: r.adjust_for_ambient_noise(source) print("Energy threshold established") while True: print("Say something:") with m as source: audio = r.listen(source) ...
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import os import sys import torch import yaml # from torchvision import datasets from models.mlp_head import MLPHead from models.bert_base_network import BertNet from trainer import BertBYOLTrainer from dataclasses import dataclass, field from typing import Optional import logging # os.environ['CUDA_DEVICE_ORDER'] = 'P...
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with open('programming.txt','a') as file_object: file_object.write("I also love finding\n") file_object.write('I love creating\n') with open('programming.txt','r') as file_object: print(file_object.read())
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# -*- coding: utf-8 -*- # # Copyright 2015 Yuriy Gavenchuk aka murminathor # # 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 requir...
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## AR Chat ####################################################################################################### ## a class for creating a message board in OpenCV ROOT = "data/gui/" import cv2 as cv ''' An ARChat object outputs an array with a custom UI created by the Butcher Bros (spec. Michael) Public Function...
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def duplicate(nums,k,t): number = None for i in range(len(nums)): for j in range(i+1,len(nums)): if nu
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""" def list_in_param(*params): return params[0]+params[1]+params[2] value = list_in_param(1, 2, 3, 4, 5, 8) print(value) value2 = list_in_param('1', '2', '3', '4') print(value2) def list_in_param2(a, *params): return params[0]+params[1]+params[2]+a value = list_in_param2(1, 2, 3, 4, 5, 8) print(value) ...
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# SPDX-FileCopyrightText: 2020 2020 # # SPDX-License-Identifier: Apache-2.0 from __future__ import absolute_import from . import normalize import logging import os from .modular_alert_builder.build_core import generate_alerts import traceback class LoggerAdapter(logging.LoggerAdapter): def __init__(self, prefix,...
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""" Author: Isabella Liu 8/8/21 Feature: """
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#!/usr/bin/env python #!-*-coding:utf-8 -*- """ @version: python3.7 @author: v-enshi @license: Apache Licence @contact: 123@qq.com @site: @software: PyCharm @file: Queries_pkl.py @time: 2019/4/25 9:46 """ import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim im...
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""" Implement a function to check if a linked list is a palindrome """ import random from linked_list import LinkedListNode def is_palindrome1(linked_list): # reverse and compare pass def build_palindrome_list(): root = LinkedListNode(5) previous_node = root for i in range(0, 2): new_node ...
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from http.server import BaseHTTPRequestHandler from ..resources.routes import routes_list class MainHandler(BaseHTTPRequestHandler): print(routes_list) def parse_path(self): for route in routes_list: if self.path in route["path"]: self.controller_request = route["controlle...
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gustavodevaler@gmail.com
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wantyouring/ML-practice-code
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# 학습모델 play. random action과 학습model 비교. import gym import pylab import numpy as np import gym.wrappers as wrappers from doubleDQN2 import DoubleDQNAgent EPISODES = 1 # 처음은 random으로 수행, 나중에는 학습model로 수행 global_step = 0 def change_action(action): if action == 0: return 0 elif action == 1: retu...
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pwc99@naver.com
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/train.py
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hantek/zmlp
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import numpy import numpy.random import theano import theano.tensor as T SharedCPU = theano.tensor.sharedvar.TensorSharedVariable try: SharedGPU = theano.sandbox.cuda.var.CudaNdarraySharedVariable except: SharedGPU=SharedCPU class GraddescentMinibatch(object): def __init__(self, varin, data, cost, params...
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/3-5.py
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############### # # Transform R to Python Copyright (c) 2016 Masahiro Imai Released under the MIT license # ############### import os import numpy as np import pystan import pandas import pickle import seaborn as sns import matplotlib.pyplot as plt import arviz as az file_beer_sales_2 = pandas.read_csv('3-2-1-beer-...
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/users/forms.py
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Vladimir-1909/blog_news
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from django import forms from django.contrib.auth.models import User from django.contrib.auth.forms import UserCreationForm from .models import Profile, SendMail class UserRegisterForm(UserCreationForm): email = forms.EmailField( label='Введите Почту', required=True, widget=forms.TextInput...
[ "vtgk12ak@gmail.com" ]
vtgk12ak@gmail.com
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/PSO/Microgrid optimization/In objective approach/Multiprocessing/MicrogridPSO_module_PSO.py
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cycle13/Miniconda
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import numpy as np import copy from MicrogridPSO_module_flowchart import loop_flowchart # * Initialize particles & to input parameters def initialize_PSO_parameters(PSO): # * input initialize parametes n_iterations = int(PSO.Multiprocessing_parameters["n_iterations"]) n_particles = int(PSO.Multiprocessin...
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from sys import exit import time def kitchen(): print "This is the kitchen, there is food to cook and a small door at the back too." print "You're hungry. what do you do?" print "cook | enter door" choice = raw_input("> ").lower() if choice == 'cook': print "Nice, hopefully you know what you're doing!\n" ...
[ "anwittin@gmail.com" ]
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/prepare_training_dataset.py
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[]
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huster123/DataScience_Project
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2020-05-01T13:35:36.916908
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# coding: utf-8 """ Created on Thu Jun 7 13:07:59 2018 @author: fahad @purpose : The purpose of this code is to prepare the training dataset and calculate the RUL. The program will read the required C-MAPSS dataset file and will return the dataset with calculate RUL as a dataframe. Also, will save the dataframe ...
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/test/functional/p2p_unrequested_blocks.py
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[ "MIT" ]
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lycion/genex-project
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#!/usr/bin/env python3 # Copyright (c) 2015-2017 The Genex Core developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. """Test processing of unrequested blocks. Setup: two nodes, node0+node1, not connected to each other. Node1...
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/bot/account_manager/browser_automation_utils/webdrivermanager.py
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[]
no_license
rrosajp/BingRewardsBot
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2021-06-01T10:16:33.546077
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import os import browsertypes _ABS_PATH_TO_THIS_DIR = os.path.realpath(os.path.dirname(__file__)) def _make_path_absolute(path): ''' @param path A relative or absolute path to a webdriver executable __file__ @return - If path is absolute or None, then return as is. ...
[ "sairambkrishnan@gmail.com" ]
sairambkrishnan@gmail.com
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""" A sentence S is given, composed of words separated by spaces. Each word consists of lowercase and uppercase letters only. We would like to convert the sentence to "Goat Latin" (a made-up language similar to Pig Latin.) The rules of Goat Latin are as follows: If a word begins with a vowel (a, e, i, o, or u), ...
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def solution(dic1): list_a = sorted(dic1.values()) list_1 = list_a[0] list_2 = list_a[1] final_list=[] for i in range(len(list_a)): for j in range(len(list_a)): final_list.append(list_1[i]+list_2[j]) return final_list
[ "sagar.ambalam@gmail.com" ]
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def hello(): print("hello world") val = set() val.add("1") val.add("2") val.remove("2") print(val) c = hello() print(c)
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# -*- coding: utf-8 -*- class Solution(object): def fib(self, N): if N <= 1: return N return self.fib(N - 1) + self.fib(N - 2) def fib2(self, N): array = [i for i in xrange(N)] for i in xrange(2, N+1): array[i] = array[i-1] + array[i-2] return ...
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#!/home/petrov0803/app2/env/bin/python3.8 from django.core import management if __name__ == "__main__": management.execute_from_command_line()
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#!/usr/bin/env python # -*- coding=utf-8 -*- __author__ = "Chen" # 0423 練習 """ 資料出處: 公開發行公司股票發行概況統計表_New https://data.gov.tw/dataset/103533 主要欄位說明: 年月、上市家數、上市資本額_十億元、上市成長率、上市面值_十億元、上市市值_十億元、 上櫃家數、上櫃資本額_十億元、上櫃成長率、上櫃面值_十億元、上櫃市值_十億元、 未上市上櫃家數、未上市上櫃資本額_十億元、公告日期 """ import pandas as pd df = pd.read_csv('每月_公開發行公司股票發行概況統計表....
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/paddleball.py
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from tkinter import * import random import time class Ball: def __init__(self, canvas, paddle, color): self.canvas = canvas self.paddle = paddle self.id = canvas.create_oval(10, 10, 25, 25, fill=color) self.canvas.move(self.id, 245, 100) starts = [-3, -2, -1, 1, ...
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""" Django settings for config project. Generated by 'django-admin startproject' using Django 3.2.5. For more information on this file, see https://docs.djangoproject.com/en/3.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.2/ref/settings/ """ import os fro...
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from django.shortcuts import render, get_object_or_404, redirect from django.utils import timezone from rest_framework import generics, viewsets from .serializers import ProjectSerializer, TaskSerializer from .models import Project, Task from .forms import TaskForm, ProjForm # Create your views here. def index(request...
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/SchoolJudgeSummary/delete_db.py
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xscrat/SchoolJudgeSrc
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# -- coding:utf-8 -- import requests import globals r = requests.post('http://%s:%s/delete_db/' % (globals.server_ip, globals.server_port)) if r.status_code == 200: print('删库成功') else: print('删库失败')
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import tensorflow as tf from tensorpack import * from tf_utils.ar_layers import * from tf_utils.common import * def encoder(self, x): is_training = get_current_tower_context().is_training # [M, T, D] => [M, T, f0] fc_l1 = gaussian_dense(name='encode_l1', inputs=x, out_C=self.hps.f[0]) activate_l1 = ...
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# Copyright (c) 2019 Santosh Philip # ======================================================================= # Distributed under the MIT License. # (See accompanying file LICENSE or copy at # http://opensource.org/licenses/MIT) # ======================================================================= """helpers tha...
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from websockets.streams import StreamReader from .utils import GeneratorTestCase class StreamReaderTests(GeneratorTestCase): def setUp(self): self.reader = StreamReader() def test_read_line(self): self.reader.feed_data(b"spam\neggs\n") gen = self.reader.read_line(32) line = ...
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import sys import os verbose = False old_cardsPath = 'Template' prefix = 'bbDM_2HDMa_MH3_AA_MH4_XX_Mchi_YY' os.system('mkdir '+ old_cardsPath+'/'+prefix) os.system('cp '+old_cardsPath+'/'+'run_card.dat'+' '+ old_cardsPath+'/'+prefix+'/bbDM_2HDMa_MH3_AA_MH4_XX_Mchi_YY_run_card.dat' ) os.system('cp '+old_cardsPath...
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import pytest from certum.error import Error from certum.strategy.filtering.thunk import ThunkFiltering @pytest.mark.parametrize( "errors, result", [ ([Error(["x"], "my message")], 1), ([Error(["x", "b"], "my message")], 1), ([Error(["x"], "my message"), Error(["x", "b"], "my message"...
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<<<<<<< HEAD <<<<<<< HEAD import unittest from ctypes import * from ctypes.test import need_symbol formats = "bBhHiIlLqQfd" formats = c_byte, c_ubyte, c_short, c_ushort, c_int, c_uint, \ c_long, c_ulonglong, c_float, c_double, c_longdouble class ArrayTestCase(unittest.TestCase): def test_simple(self):...
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""" Operations on 2 sequences A and B A = [a0,a1,...,an], B = [b0,b1,...,bm] """ def add(A, B): pass def pmul(A, B): pass def dot(A, B): if len(A) != len(B): raise ValueError("A and B must have same length") return [A[i]*B[i] for i in range(len(A))] def concat(A, B): pass def convolutio...
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"""Drivingschool URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.1/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class...
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import os import random #data_dir ="data/custom" import pandas as pd import csv import nltk from nltk import word_tokenize from nltk.corpus import wordnet as wn df=pd.read_csv("ch1.txt.csv") data_src=[] data_dest=[] data_test_ques=[] data_test_ans=[] data_train_ques=[] data_train_ans=[] data_train_ans1=[] data_train_...
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#!/usr/bin/env python # -*- coding: utf-8 -*- ########################################################### # WARNING: Generated code! # # ************************** # # Manual changes may get lost if file is generated again. # # Only code inside the [MANUAL] ta...
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class Writer: def __init__(self, path): self.path = path + "\\data" def write_file(self, aggression, distribution, dead, productivity, time): csv = open(self.path + "swarmdata.csv", "w") title_row = "aggression,distribution,dead,productivity,time\n" csv.write(title_row) ...
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from hstest.stage_test import StageTest from hstest.test_case import TestCase from hstest.check_result import CheckResult import os import shutil import sys if sys.platform.startswith("win"): import _locale # pylint: disable=protected-access _locale._getdefaultlocale = (lambda *args: ['en_US', 'utf8']) C...
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#!/usr/bin/env python3 from __future__ import print_function import pickle import os.path import subprocess from pathlib import Path from googleapiclient.discovery import build from google_auth_oauthlib.flow import InstalledAppFlow from google.auth.transport.requests import Request # If modifying these scopes, delet...
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import tensorflow as tf from utility.tf_utils import softmax, log_softmax, explained_variance from utility.rl_utils import * from utility.rl_loss import retrace from core.decorator import override from algo.mrdqn.base import RDQNBase, get_data_format, collect class Agent(RDQNBase): """ MRDQN methods """ @tf....
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a = [1,2,3, 'hola', 4, 5, True] b = list(map( type, a))
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