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# Generated by Django 3.2 on 2021-05-01 20:57 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0004_auto_20210501_1333'), ] operations = [ migrations.AddField( model_name='area', name='altitud', ...
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"""Unit testing for the proxy.py""" import json import unittest import requests from mock import patch, MagicMock from amplium.api import proxy from amplium.api.exceptions import NoAvailableGridsException, NoAvailableCapacityException from amplium.app import app test_sauce_url = 'https://username:accesskey@ondemand....
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon Oct 2 15:33:29 2017 Explanation of EEGOOP @author: asceta """ """ Libraries, and classes importations """ from EEGOOP import DB import glob from sklearn.neural_network import MLPClassifier """ Files Path & attributes of DB class """ DatasetPa...
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from PySide2.QtWidgets import QMainWindow, QPushButton, QApplication, QLineEdit import os class SettingsWindow(QMainWindow): def __init__(self): super().__init__() self.set_button("Save", self.save_data, 40, 150) self.textbox1 = QLineEdit(self) self.textbox1.move(40, 30) sel...
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# Modules! import sys import random import yaml import pygame import numpy as np import math import ConfigParser import os # Classes used in the game ########################### # Game Object that runs the display, handling updates to the screen ########################### class Display(): def __init__(self, boa...
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import random def esPar(tupla): par = True for i in tupla: if par == True and i%2 != 0: par = False return par def organizarTuplas(lista): listafinal = [] for i in lista: if esPar(i): listafinal.append(i) return listafinal lista = [] tupla = () for i in...
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#!/usr/bin/env python # -*- coding: utf-8 -*- from contextlib import contextmanager import math import re from .lexer import Lexer, TokenType _keywords = "create", "as", "template", "inherit", "include" _literals = "true", "false", "infinite" _units = "%", "px", "s", "ms", "deg", "rad", "turn" class Node: def...
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############################################################ # # array types # ############################################################ import numpy as np np.set_printoptions(precision=3) # create array of int a = np.array( [2,3,5,7,11,13,17] ) print a # create array of float a = np.array( [np.s...
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hex_data = '68 65 78 61 64 65 63 69 6d 61 6c 20 6f 72 20 62 61 73 65 31 36 3f'.split(' ') op = "" for hex in hex_data: op = op + chr(int(hex,16)) print(op)
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comparisonOperators.py
#checking equality print(2 == 2) print('hello' == 'Hello') print(2.0 == 2) #or inequality print( 4 != 5) # grater than/ less than (or equal to) print(2 > 5) print(2 < 5) print(1 >= 0.5) print(1 <= 0.5) print( 1 > 0.5 < 0) #chaining logical operators using and, or, not print(f'Here is the and statementd:\n{1 > 0.5 an...
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import json import pytest from app import app @pytest.fixture def client(): app.config['TESTING'] = True return app.test_client() def test_osparc_no_post(client): r = client.get('/simulation') assert r.status_code == 405 def test_osparc_empty_post(client): r = client.post("/simulation", json={...
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import io,sys import os from PyPDF2 import PdfFileWriter, PdfFileReader from tika import parser #Get your PC's PATH repositorypath=os.getcwd() print(repositorypath) sys.path.append(repositorypath) from folder_finding import find_docx_in_folder from docx_extract import docx_to_xlsx_multi from docx_to_exist import d...
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#!/usr/bin/python import sys base=0 read_num=0 out=open('/rhome/xyhe/bigdata/dataxy/target/2mele.fasta','w') with open(sys.argv[1])as lines: for line in lines: line=line.strip('\n') if read_num<8: if line[0]=='>': read_num=read_num+1 ou...
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word-break.py
from collections import deque class Solution: def wordBreak(self, s: str, wordDict: List[str]) -> bool: q = deque([s]) seen = set() while q: s = q.popleft() # popleft() = BFS ; pop() = DFS for word in wordDict: if s.startswith(word): ...
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error_test.py
#!/usr/bin/env python2.7 import argparse import pdb import random import itertools import multiprocessing as mp import pandas as pd import numpy as np import matplotlib.pyplot as plt from anonml.subset_forest import SubsetForest from anonml.aggregator import get_privacy_params, get_rappor_params, get_rr_params from p...
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# -*- coding: utf-8 -*- # Generated by Django 1.10.7 on 2017-04-27 17:26 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('galleries', '0008_auto_20170426_1703'), ] operatio...
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''' make the same analysis as do1long.R byt in pandas. then try to make ggindex() but in long format. pandas tools: * wide to long format (stack) and long to wide (unstack). - unstack moves a level of a MultiIndex (innermost by default) up to the columns. - stack is the inverse. * pivot, melt. i think thes...
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#!/usr/bin/python try: from setuptools import setup except ImportError: print("setuptools not found, falling back to distutils") from distutils.core import setup setup( name='PyCornGUI', version='0.1dev', author='Kotaro Kelley', packages=['pycorngui'], extras_require = {'plotting'...
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multiplicative_persistence_num.py
class Persistence(): def my_list(self, num): mylist = [] while num: num, listnum = divmod(num, 10) mylist.append(listnum) return mylist def mul_all(self,mylist): multiplier = 1 while mylist: multiplier *= mylist.pop() return m...
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TrigBjetMonitCategory.py
# Copyright (C) 2002-2020 CERN for the benefit of the ATLAS collaboration from __future__ import print_function # Used for combination MC, collisions or cosmics #General trigger chains - default values monitoring_bjet = ["E_HLT_j35_boffperf_split","E_HLT_j55_boffperf_split","S_HLT_j85_gsc110_boffperf_split...
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# -*- coding:utf-8 -*- # Copyright 2018 Huawei Technologies Co.,Ltd. # # 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...
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num_char = 2 #how many characters in an opcode #____Blocking (New Connections):____# #incoming login = '00' user_creation = '01' sleeping_socket_connection = '02' friends_list = '03' #outgoing login_accepted = '99' login_declined = '98' user_created = '97' user_creation_declined = '96' sleeping_socket_accepted = '95...
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""" https://leetcode.com/problems/count-number-of-rectangles-containing-each-point/ notice that width(10^9) is way greater than height(100), so 1. store all the points in hash table 2. binary search on the width to find the number of rectangles that conver the point """ class Solution: def countRectangles(self, A:...
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# Generated by Django 3.0.4 on 2020-04-02 10:56 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('notification', '0004_notification'), ] operations = [ migrations.CreateModel( name='Acceptance'...
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# data = open('data_penjualan_motor_honda_2014_2018.csv', 'r') # print(data.readable()) # files = data.readlines() # pre_header = (files[0].split(',')) # pre_header[-1] = pre_header[-1][ :-1] # print(pre_header) # header = pre_header.index(::) # print(header) # print(header[1]) # for title in files[0]: # dict(row)...
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""" maxwellholteturner@gmail.com https://github.com/mhturner/glom_pop """ import functools import inspect import os import shutil import glob import matplotlib.pyplot as plt import h5py import numpy as np import pandas as pd import yaml import xml.etree.ElementTree as ET import pims from sewar.full_ref import rmse as...
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import librosa import numpy as np def extractFeatures(file_name): try: audio, sample_rate = librosa.load(file_name, res_type='kaiser_fast') mfccs = librosa.feature.mfcc(y=audio, sr=sample_rate, n_mfcc=40) pad_width = 2 mfccs = np.pad(mfccs, pad_width=((0, 0), (0, pad_width)), ...
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import cv2 import numpy as np img = cv2.imread("lena.png") print (img.shape) imResize = cv2.resize(img, (300, 300)) print (imResize.shape) imgCropped = img[0:200, 200:500] cv2.imshow("Image", img) cv2.imshow("Image Resize", imResize) cv2.imshow("Image Cropped", imgCropped) cv2.waitKey(0)
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from unittest import TestCase from ..sipmessaging import SIPStartLineFactory try: from cStringIO import StringIO except ImportError: from StringIO import StringIO class TestSIPStartLineFactoryForResponse(TestCase): @property def canonicalStrings(self): return [ 'SIP/2.0 100 Trying'...
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# 生成器是特殊的迭代器 def fibonacci(length): """创建一个financci的生成器""" a, b = 0, 1 current_num = 0 while current_num < length: # 函数中由yield 则这个不是简单的函数,而是一个生成器模板 yield a a, b = b, a+b # print(a, end=",") current_num += 1 # 如果调用finbonacci(length)表示创建一个生成器 obj ...
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import evb_gui as gui from libs import socket_io as sockets def main(): server_connection = sockets.open_connection() gui.load_gui(server_connection, gui.root) if __name__ == "__main__": main()
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# Generated by Django 3.0.4 on 2020-05-14 02:05 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Company', fields=[ ...
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def cheeseshop(kind, *arguments, **keywords): print('-- Do you have any', kind, '?') print('--hello how are you man',kind) for arg in arguments: print(arg) print('-' * 40) for kw in keywords: print(kw,':',keywords[kw]) cheeseshop('Limburger','Its is very runny','its is very bad', shop = 'Sagar aryal', cli...
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from typing import Dict import numpy as np from tdw.tdw_utils import TDWUtils from tdw.controller import Controller from tdw.output_data import OutputData, NavMeshPath from tdw.add_ons.third_person_camera import ThirdPersonCamera from tdw.add_ons.image_capture import ImageCapture from tdw.backend.paths import EXAMPLE_C...
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import argparse import logging import os import cv2 import numpy as np import tensorflow as tf import keras.callbacks from keras import backend as K from keras import utils from model.network import Glcic from model.config import Config from model import util import dataset class PrintAccuracy(keras.callbacks.Callbac...
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import os #for Gmail smtpd api import os.path from googleapiclient.discovery import build from google_auth_oauthlib.flow import InstalledAppFlow from google.auth.transport.requests import Request import smtplib from flask import jsonify from pathlib import Path import datetime from flask import render_template,sessio...
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#!/usr/bin/python ''' # @ Author: june-fu # @ Create Time: 2020-12-26 12:13:08 # @ Modified by: june-fu # @ Modified time: 2020-12-26 12:13:13 # @ Description: Series's str attribute ''' import pandas as pd import numpy as np s = pd.Series(['A', 'B', 'C', 'Aaba', 'Baca', np.nan, 'CABA', 'dog', 'cat'], dtype="st...
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#Remover numero repetido. numero = int(input("Digite um número: ")) freio = 0 l = [] while numero != freio: l.append(numero) numero = int(input("Digite um número: ")) l.count(numero) if numero in l: l.remove(numero) print(l) print("FIM!")
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import matplotlib.pyplot as plt import matplotlib.image as mpimg import numpy as np from PIL import Image def rgb2gray(rgb): return np.dot(rgb[...,:3], [0.299, 0.587, 0.114]) img = mpimg.imread('chip.png') gray = rgb2gray(img) plt.imshow(gray, cmap = plt.get_cmap('gray')) plt.show() gray.shape gray = gra...
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convert_2009_data.py
import sys import numpy as np import csv data = np.genfromtxt('student_data_2009.csv', delimiter=',', skip_header=1, dtype=float) new_data = np.zeros((len(data),12), dtype=float) new_header = ['STU_ID', 'BYSEX', 'BYENGLSE', 'BYSES1', 'BYSES2', 'BYS24F', 'BYGRDRPT', 'BYLGRRPT', 'BYTXMSTD', 'BYPISAME', 'BYACTCTL', 'F2H...
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08 Rock Paper Scissors.py
name1 = input('Player 1\'s name?:\n') name2 = input('Player 2\'s name?:\n') player1 = input(name1 + ' - Rock, Paper, or Scissors?\n').lower() player2 = input(name2 + ' - Rock, Paper, or Scissors?\n').lower() if player1 not in ['rock', 'paper', 'scissors']: print('input not valid') exit() if player1 == player2: ...
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import json from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from schema import Countries, Population from pathlib import Path from http.server import HTTPServer, SimpleHTTPRequestHandler # create Engine engine = create_engine("postgresql://pranav:password@localhost/un_population") # crea...
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from turtle import * t=Turtle() bgcolor('black') goto(0,-250) speed(10) def draw(a,b): pencolor(a) fillcolor(b) begin_fill() circle(b) end_fill() lt(90) fd(50) rt(90) draw('red',250) draw('white',200) draw('red',150) draw('blue',100) rt(90) goto(0,100) pencolor('white') fillcolor('whi...
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import argparse from datetime import datetime, timedelta from datafeeds import db from datafeeds.models import ( SnapmeterAccountDataSource as AccountDataSource, SnapmeterMeterDataSource as MeterDataSource, ) from datafeeds.models.account import SnapmeterAccount from datafeeds.models.meter import Meter, Buildi...
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"""Custom layers implementation.""" import math import re from collections import OrderedDict from typing import Callable import dgl import dgl.function as fn import numpy as np import torch as th import torch.nn as nn import torch.nn.functional as F from dgl.backend.pytorch.sparse import _gsddmm, _gspmm, gspmm, gsddm...
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print("I") print("know") print("Python")
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#!/usr/bin/env python3 """ Adam """ import numpy as np def update_variables_Adam(alpha, beta1, beta2, epsilon, var, grad, v, s, t): """Function that updates a variable in place using the Adam optimization algorithm""" Vdw = (beta1 * v) + ((1 - beta1) * grad) Sdw = (beta2 * s) + ((1 - beta2) * (gra...
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import sys script, counter, jumps = sys.argv #Funcions def create_list_while(counter, jumps): i = 0 numbers = [] while i < counter: numbers.append(i) print(f"Numbers now: {numbers}") i += jumps return numbers def create_list_for(counter,to): numbers = [] fo...
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from django.forms import ModelForm from django import forms from profileapp.models import Profile class ProfileCreationForm(ModelForm): class Meta: model = Profile fields = ['nickname', 'phone_number', 'birth', 'profile_image'] widgets = { 'birth': forms.DateInput(format=('%m/%d...
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from __future__ import annotations from abc import abstractmethod from typing import List, Optional from telethon import Button from formatter import show_dishes_list from settings import * class PageMaker: instances = {} choice = {'next': 1, 'prev': -1} next_btn = ('➡', 'next') prev_btn = ('⬅', 'p...
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""" Return exporters with overlapping most frequent commodity codes """ import sys sys.path.insert(0,'lib') import csv, utils import networkx as nx import pandas as pd from json import dumps from flask import Flask, request, jsonify, Response app = Flask(__name__) def get_top_nodes(Gph, company, howmany=2): """Ge...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sat Jul 25 02:18:46 2020 @author: vijetadeshpande """ import torch import torch.nn as nn import torch.nn.functional as F import numpy as np from DDPGActor import Actor as Actor from DDPGCritic import Critic as Critic from DDPGNoise import OrnsteinUhlenbeck...
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# ------------------------------ # 9. Palindrome Number # # Description: # Determine whether an integer is a palindrome. Do this without extra space. # # Version: 1.0 # 09/29/17 by Jianfa # ------------------------------ class Solution(object): def isPalindrome(self, x): """ :type x: int ...
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from django.apps import AppConfig class BibleConfig(AppConfig): name = 'apps.search.bible'
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import torch import torch.nn as nn import torch.nn.functional as F from easydict import EasyDict as edict from xml.model_components import BertAttention, TrainablePositionalEncoding class TextEncoder(nn.Module): def __init__(self, hidden_size, drop, input_drop, nheads, max_position_embeddings): super().__...
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__author__ = 'jmasramon' from pyspecs import given, when, then, and_, the # Develop an api that moves a rover around on a grid. # # You are given the initial starting point (x,y) of a rover and the direction (N,S,E,W) it is facing. # # The rover receives a character array of commands. # # Implement commands that move...
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# -*- coding: UTF-8 -*- import re TESTS = """ http://ws.geonames.org/findNearbyPlaceNameJSON?lat=42.386951440524854&lng=-83.28460693359375&callback=? Redford, Michigan United States http://ws.geonames.org/findNearbyPlaceNameJSON?lat=39.91605629078665&lng=116.36581420898438&callback=? Fengsheng, Beijing China http://...
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m=int(input("movimento em metros: ")) soma=0 while(m!=0): soma+=m m=int(input("movimento em metros: ")) print(soma) if(soma>0): print("Direita") if(soma<0): print("Esquerda") if(soma==0): print("Inicial")
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import tensorflow as tf # tf.compat.v1.enable_eager_execution() import constants as const import utils import os.path as path import numpy as np import random from munch import Munch import ipdb import glob st = ipdb.set_trace from tensorflow.examples.tutorials.mnist import input_data ''' Note on the input system: al...
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# -*- coding:utf-8 -*- def docstring_example(a, b): """ Simple docstring example: :param a: Description of a :param b: Description of b :type a: int :type b: int :return: The result is just another integer :rtype: int """ return a + b def reproje...
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#!/usr/bin/python import socket import os import threading count=0 def sendtoall(target, data): target.send(data) def shell(target, ip): def reliable_send(data): target.send(data) def reliable_recv(): data = "" while True: ...
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roll.py
from random import randint def roll(dice): number = '' sides = '' befored = True for char in dice: if char in 'Dd': befored = False continue if befored: number += char else: sides += char if number == '': number = '1' ...
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from django import shortcuts from . import basecontext def render(request): return shortcuts.render_to_response("application/runs.html", { "base" : basecontext.context(), })
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from django.test import TestCase from .models import Task # Create your tests here. t = Task(task_name = '阅读', is_do = False) t.save() Task.objects.creat(task_name = '阅读', is_do = False) #首先尝试获取,不存在就创建,可以防止重复 Task.objects.get_or_create(task_name = '阅读', is_do = False) #查询所有is_do = False的对象 Task.objects.filter(is_d...
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import unittest import numpy as np from transform import * class TestTransform(unittest.TestCase): def setUp(self): pass def test_rotate(self): t = rotate(20, (0, 0, 1)) f = theano.function([], t.m) cmp = np.isclose(f(), np.array([ [0.93969262, -0.34202015, 0., 0....
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from setuptools import setup with open("README.md", "r") as fh: long_description = fh.read() setup( name='designofexperiment', version='1.6.2', description='A Python Package for intuitive design of experiments with user-friendly analysis of results', py_modules=["design", "analysis...
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# Licensed to the Apache Software Foundation (ASF) 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 u...
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from sklearn.model_selection import train_test_split from sklearn import preprocessing from sklearn.metrics import accuracy_score from sklearn.datasets import load_digits from sklearn.svm import SVC import matplotlib as plt from sklearn.metrics import confusion_matrix import seaborn as sns # 数据可视化的包 from sklearn.tree i...
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import numpy import chainerx # TODO(sonots): Implement in C++, especially in CUDA def normal(*args, **kwargs): """normal(*args, **kwargs, device=None) Draws random samples from a normal (Gaussian) distribution. This is currently equivalent to :func:`numpy.random.normal` wrapped by :func:`chainerx.a...
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import unittest import sys import io from getting_to_philosophy import find_philosophy, get_next_url, remove_paren, MAX_HOPS class TestPhilosophy(unittest.TestCase): def test_remove_paren(self): test_str = '(hello[123]world[testing[123]])hello[ ](abc (def)) world( )' self.assertEqual('hello world'...
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import os n1 = float(input("Digite um número: ")) n2 = float(input("Digite outro número: ")) print("-----------MENU-----------------------") print("1 - Soma") print("2 - Subtração") print("3 - Multiplicação") print("4 - Divisão") print("--------------------------------------") opc = int(input("Escolha uma opções: "))...
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from typing import MutableMapping, Callable from ..configs import ImporterConfig from fancy import config as cfg from torch.utils.data import DataLoader, Dataset class DatasetConfig(ImporterConfig): param: dict = cfg.Option(default={}, type=cfg.process.flag_container) batch_size: int = cfg.Option(default=1,...
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d = { "mobile" : 1, "samsung" : 1, "sam" : 1, "sung" : 1, "man" : 1, "mango" : 1, "icecream" : 1, "and" : 1, "go" : 1, "i" : 1, "love" : 1, "ice" : 1, "cream" : 1 } result = "" strm = "iloveicecreamandmango" c = 0 def solve(s, dic, n): for i in range(0, n+1): global result ...
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import sys import collections numbers = list(map(int, sys.stdin.readline().split(','))) mem = collections.defaultdict(collections.deque) for i in range(30000000): if len(numbers): x, numbers = numbers[0], numbers[1:] mem[x].append(i) else: if len(mem[x]) == 1: x = 0 else: x = mem[x][1]...
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# -*- coding: utf-8 -*- import subprocess import serial.tools.list_ports import time arduino_ports = [ p.device for p in serial.tools.list_ports.comports() if 'Arduino' in p.description ] if not arduino_ports: raise IOError("No Arduino found") if len(arduino_ports) > 1: warnings.warn('...
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# # 用WGAN方法GAN出更多天竺鼠車車圖片 # # 產生圖片大小: 64x64 # from os import path import time import torch import torch.nn as nn import torch.optim as optimizers import torchvision.transforms as transforms from torchvision.datasets import ImageFolder from torch.utils.data import DataLoader from torchvision.utils import make_grid import...
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# Function2 def calc(f, data): return f(data) print(calc(len, "Hello")) print(calc(sum, [1,3,4])) print(calc(max, [1,3,4])) print(calc(min, [1,3,4]))
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class Game: # Definindo o Objeto Game total_kills = 0 players = {} kills = []
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# cd /Users/study/Test/384/a3/multiagent # multiAgents.py # -------------- # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley,...
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''' You must create a method that can convert a string from any format into CamelCase. This must support symbols too. Don't presume the separators too much or you could be surprised. Tests camelize("example name") # => ExampleName camelize("your-NaMe-here") # => YourNameHere camelize("testing ABC") # => TestingA...
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# Python file I/O (input/output) #Writing the result of a list comprehension in an output file my_list = [i ** 2 for i in range(1, 11)] my_file = open("output.txt", "w") for i in my_list: my_file.write(str(i)+ "\n") my_file.close() #Reading the written data my_file = open("output.txt", "r") print my_file.read() my...
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def mostrar_perguntas(): # Funcao que carrega as perguntas disponiveis def responder(pergunta, nome): # Funcao que, a partir do numero da pergunta, traz sua resposta def start(): print('Olá! Meu nome é CoronaTalker. Você pode tirar dúvidas sobre o novo coronavírus comigo!\n') nome = input('Qual o seu ...
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def main(): # entrada n1 = float(input()) n2 = float(input()) n3 = float(input()) n4 = float(input()) n5 = float(input()) contador = 0 # processamento if n1 % 2 == 0: contador +=1 if n2 % 2 == 0: contador +=1 if n3 % 2 == 0: conta...
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#!/usr/bin/python palettes = { 'light': [ ('body', 'black', 'light gray'), ('body_focus', 'yellow', 'yellow'), ('header', 'white', 'dark blue'), ('footer', 'dark green', 'light gray'), ('importer', 'white', 'light blue'), ('importer focus'...
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""" Created on Wed Oct 3 16:03:30 2018 @author: Matthew Millar What it does: This is a simple test of running process on every frame at once. What it needs: Related Classes: """ import cv2 import time from GymCameraProcessor import GymVideoProcessing as gvp from GymCameraProcessor import OutputVideoHandler as video_sa...
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# coding=utf8 from models import Order, OrderQuantity, DeliveryEntity, ReceivingEntity, ManufactureOrder, BOM if __name__ == '__main__': Order.transform() OrderQuantity.transform() DeliveryEntity.transform() ReceivingEntity.transform() ManufactureOrder.transform() BOM.transform()
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from abc import ABCMeta, abstractmethod from bokeh.models import ColumnDataSource from bokeh.plotting import Document, Session class PlotManager(object): __metaclass__ = ABCMeta @abstractmethod def __init__(self, plot): self.doc_name = '%d_%s' % (plot.id, plot.name) self.plot = plot ...
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from .state_connector import StateConnector from .state_register import StateRegister class StateMgr(StateConnector, StateRegister): pass
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from threading import Semaphore, Thread import os from http.server import HTTPServer, BaseHTTPRequestHandler from elasticsearch import Elasticsearch, NotFoundError from flask import Flask, url_for from flask.ext.testing import TestCase as FlaskTestCase from babbage_fiscal import config from babbage_fiscal.api import...
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import tensorflow as tf with tf.device('/device:CPU:0'): BATCH_SIZE = 8 CHANNEL_COUNT = 3 CLASSES_NUMBER = 10 en = tf.keras.applications.EfficientNetB0() en.compile(optimizer=tf.keras.optimizers.RMSprop(), loss=tf.keras.losses.CategoricalCrossentropy(), metrics=['accu...
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import logging import re from unittest import TestCase from foxylib.tools.log.foxylib_logger import FoxylibLogger from foxylib.tools.string.string_tool import StringTool class TestStringTool(TestCase): @classmethod def setUpClass(cls): FoxylibLogger.attach_stderr2loggers(logging.DEBUG) def test_...
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from flask import request ALLOWED_LANGS = ['en', 'fr'] def preferred_language(): langs = request.headers.get('Accept-Language', '').split(',') langs = [lang.strip() for lang in langs] langs = [lang.split(';')[0] for lang in langs] langs = [lang.strip() for lang in langs] for lang in langs: if len(lang) ...
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list = [] all_count = 0#坐的次数 def my_input(): dict = {} #月份和钱 sum = 0#记录每月花多少钱 global all_count #声明要修改变量 month = int(input("请输入月份")) if month <= 0 or month > 12: print("输人有误") return count = int(input("请输入每天坐地铁的次数")) if count <= 0: print("次数输入有误") return all_count+=3*count:w
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# Copyright 2020 EMBL - European Bioinformatics Institute # # 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...
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import numpy as np import matplotlib import pandas as pd matplotlib.use('Agg') import matplotlib.pyplot as plt plt.switch_backend('agg') font = {'family' : 'normal', 'weight' : 'regular', 'size' : 13} matplotlib.rc('font', **font) use_cmap = 'gnuplot' t='output/anna_20829vis_fid1_visinfo.npy' vis_...
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n=int(input('numero:')) maior=0 menor=a for i in range(0,n,1): a=int(input('a')) if a>maior: maior=a if a<menor: menor=a print(maior,menor)
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#!/usr/bin/python # used by count.sh import re import sys import string fname = sys.argv[1] str = (open(fname, 'r')).read() #measures = [(str[a.start():(3+string.find(str,"@-}", a.start()))]) for a in list(re.finditer('{-@ measure', str)) ] other = [(str[a.start():(3+string.find(str,"@-}", a.start()))]) for a i...