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##################################################################### # SmartSecurity Embedded System Software # # Team: SmartSecurity # # Tyler Harclerode, Brandon Lin, Zachary Davoli, Jonathan Griffin # # CET/CSC Senior Project 2017/2018 ...
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""" Song selected for favorite song assignment - dead presidents II by Jay Z """ #Attributes: genre, name, artist, released, recorded, label, songwriter, producers, DurationInSeconds, sample, certification genre = "Rap" name = "Dead Presidents Two" artist = "Jay Z" released = "1996" recorded ="1995" labe...
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from django.apps import AppConfig class HomepageConfig(AppConfig): name = 'landing'
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import numpy as np """ This file defines layer types that are commonly used for recurrent neural networks. """ def rnn_step_forward(x, prev_h, Wx, Wh, b): """ Run the forward pass for a single timestep of a vanilla RNN that uses a tanh activation function. The input data has dimension D, the hidden state h...
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# -*- coding: utf-8 -*- """ Created on Sun Apr 15 14:41:10 2018 @author: Ketaki Vaidya """ #indexes in python start at 0 #ML models are mathematical models import numpy as np #for mathematics import matplotlib.pyplot as plt #charts plotting import pandas as pd#for importing and managing datasets dataset...
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""" Questão: Lista E 06 Descrição: Leia uma velocidade em km/h, calcule e escreva esta velocidade em m/s. """ def main(): # entrada velocidade_em_km = float(input("Digite uma uma velocidade em Km/h: ")) # calculos, operacoes, processamento velocidade_em_ms = velocidade_em_km * 3.6 # saida print('Resultado: %...
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#%% [markdown] # ## 24. ファイル参照の抽出 # 記事から参照されているメディアファイルをすべて抜き出せ. # ### 方針 # * `ファイル.+\.[jpg|JPG].+` #%% import re import common03 data = common03.get_uk_data()['text'] regex = r'ファイル:(.+\.(jpg|JPG))' pattern = re.compile(regex) for match in pattern.finditer(data): print(match.group(1)) #%%
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#!/usr/bin/env python # -*- coding: utf-8 -*- """The setup script.""" from setuptools import setup, find_packages with open('README.rst') as readme_file: readme = readme_file.read() with open('HISTORY.rst') as history_file: history = history_file.read() requirements = ['Click>=6.0', ] setup_requirements =...
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""" WSGI config for drf_06 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/3.0/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTIN...
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# -*- coding: utf-8 -*- # Generated by Django 1.10.6 on 2017-08-16 12:57 from __future__ import unicode_literals from django.db import migrations, models import service.models.ticket class Migration(migrations.Migration): dependencies = [ ('service', '0006_auto_20170804_1420'), ] operations = [...
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""" Copyright (c) 2021 Intel Corporation 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 writin...
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# TODO add tests
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from ase.io import read from espresso import espresso from ase.optimize import QuasiNewton #f = open('WCl_adsorption/W_geometry_optimization_500_441/energy.txt', 'w') #f.write('starting') # python will convert \n to os.linesep Pd3Pt_slab_path = 'Pd_Alloys/Pd3Pt/Pd3PtH2.traj' output_directory = 'Pd_Alloys/Pd3Pt/Pd3Pt...
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import json import sys import os from io import BytesIO import boto3 from pymongo import MongoClient import numpy as np from numpy import linalg as LA # code generated from AWS Secret Manager def get_db_credentials(): secret_name = "mongodb_credential" endpoint_url = "https://secretsmanager.us-east-1.amazonaw...
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# # Copyright (c) 2008-2019 Citrix Systems, 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 l...
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#!/usr/bin/env python import sys, time import socket import atexit import spi import Image from signal import signal, SIGTERM from daemon import Daemon HOST = '' # Symbolic name meaning all available interfaces PORT = 31337 FPS = 30 GAMMA_TABLE = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
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from django.contrib import admin from .models import AddUser,Uimage,Ufiles # Register your models here. admin.site.register(AddUser) admin.site.register(Uimage) admin.site.register(Ufiles)
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import random record = {} record["counter"] = 0 record["correct"] = 0 record["incorrect"] = 0 incorrect_problems = [] user_answers = [] true_answers = [] def create_math_program(): play_math_round() generate_summary_report() def play_math_round(): problem, solution = generate_random_math_problem() ...
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#!C:\数据结构与算法课堂练习题\venv\Scripts\python.exe -x # EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==40.8.0','console_scripts','easy_install' __requires__ = 'setuptools==40.8.0' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.arg...
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''' Adapted from DeeperCut by Eldar Insafutdinov https://github.com/eldar/pose-tensorflow ''' ''' Adapted from DeeperCut by Eldar Insafutdinov https://github.com/eldar/pose-tensorflow ''' import os import logging import random as rand import numpy as np from numpy import array as arr from numpy import concatenate as...
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#!/usr/bin/env python from dn import DN dn = DN() # print top 10 stories from homepage for story in dn.get_stories()[:10]: print story["points"], story["title"] print '**********************' print '' # print 10 latest stories for story in dn.get_stories(story_type='new')[:10]: print story["points"]...
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import random foods = ["Chocolate", "Apples", "Milk", "Bread", "More Chocolate", "Even More Chocolate", "Bacon", "Honey"] values = [100, 1000, 300, 350, 800, 150, 250, 333, 500] dates = ["2020-04-11", "2020-04-12", "2020-04-13", "2020-04-14", "2020-04-15", "2020-04-16", "2020-04-17", "2020-04-18"] def entryStringDef...
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import numpy as np import tensorflow as tf from tensorflow.examples.tutorials import mnist import time import os from helper import * class DRAWGAN(): def __init__(self, sess, build_encoder, build_decoder, build_discriminator, read_attn = False, write_attn = False, T = 10, dec_size = 128, enc_size = 128, batch_...
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""" Django settings for RESTVer03 project. Generated by 'django-admin startproject' using Django 3.0.6. For more information on this file, see https://docs.djangoproject.com/en/3.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.0/ref/settings/ """ import os ...
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import pygame from random import randint class Node: def __init__(self,position): self.position = position self.building = None self.wait = 0 def drawOnMap(self,map): (self.position[0] + map.x,self.position[1] + map.y) class Building: def __init__(self,object_type,node,key...
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ax=list(map(int,input().split())) if ax[0]+ax[1]+ax[2]==180 and ax[0]!=0 and ax[1]!=0 and ax[2]!=0: print('yes') else: print('no')
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from django.urls import path from django.urls import path from user import views app_name = "user" urlpatterns = [ path("create/", views.CreateUserView.as_view(), name="create"), ]
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import socket HOST = 'localhost' # The remote host PORT = 8080 # The same port as used by the server while True: usrInput = "" usrInput = input("Enter in Cal server name along with loan amount, years, and rate ") if usrInput == "": s.close() break with sock...
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# Copyright 2017-2020 TensorHub, 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 to in writ...
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import matplotlib.pyplot as plt from sklearn import datasets, svm, metrics # Load dataset digits = datasets.load_digits() images_and_labels = list(zip(digits.images, digits.target)) n_samples = len(digits.images) data = digits.images.reshape((n_samples, -1)) # Create a classifier: a support vector classifier...
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DEBUG = True DEBUG_SQL = True LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True MEDIA_ROOT = 'public/media' MEDIA_URL = 'http://localhost:8000/media/' MEDIA_DEV_URL = '/media/' STATIC_ROOT = 'public/static' STATIC_URL = '/static/' AUTHENTICATION_BACKENDS = ( 'django.contri...
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from rest_framework import serializers from .models import * class ToDoListSerializer(serializers.ModelSerializer): class Meta: model=TodoList fields=['name','createddate','user'] class TodoItemSerializer(serializers.ModelSerializer): class Meta: model=TodoItem fields=['name','d...
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#!/usr/bin/env python try: import json except ImportError: import simplejson as json import math import datetime import sqlite3 import os import re import sys import cgi import logging import inspect import time import gzip import pprint sys.path.append( os.path.dirname(os.path.abspath(__file__)) + '/../...
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""" WSGI config for Best_movies_project 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/2.1/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('...
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import cv2 import numpy as np # 1 I = cv2.imread("./anhthi/anh5.jpg") # cv2.imshow("I", I) # 2 Ihsv = cv2.cvtColor(I, cv2.COLOR_BGR2HSV) print("Muc sang lon nhat cua kenh V:", np.max(Ihsv[:, :, 2])) # cv2.imshow("Ihsv kenh S", Ihsv[:, :, 1]) # 3 Iv = cv2.blur(Ihsv[:, :, 2], (3, 3)) # cv2.imshow('Lam tron kenh V', Iv...
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# https://github.com/encode/databases/blob/master/databases/importer.py import importlib import typing class ImportFromStringError(Exception): pass def import_from_string(import_str: str) -> typing.Any: module_str, _, attrs_str = import_str.partition(":") if not module_str or not attrs_str: mess...
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#!/usr/bin/env python3 numbers = [i for i in range(3,31,3)] print(numbers)
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import keras from keras.preprocessing.text import Tokenizer from keras.preprocessing.sequence import pad_sequences from keras import optimizers from keras import backend as K from keras import regularizers from keras.models import Model from keras.utils import plot_model from keras.callbacks import EarlyStopping from k...
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from django.apps import AppConfig class AdapterConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'rcs.adapter'
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from typing import Any, Dict, List, Union from unittest.mock import patch from rotkehlchen.constants.assets import A_BTC, A_ETH from rotkehlchen.exchanges.data_structures import AssetMovement, MarginPosition, Trade from rotkehlchen.fval import FVal from rotkehlchen.rotkehlchen import Rotkehlchen from rotkehlchen.tests...
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from graphviz import Graph from graphviz import Source n = int(input("Ingrese cuántos países va a ingresar: ")) paises = [] for _ in range(n): paises.append(input("Ingrese el nuevo país: ")) dicc = {} ############### DICCIONARIO ############### for pais in paises: v = int(input(f"Ingrese la cantidad de paises vecin...
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import builtins as _mod_builtins PyCFuncPtr = PyCFuncPtrType() class ArgumentError(_mod_builtins.Exception): __class__ = ArgumentError __dict__ = {} def __init__(self, *args, **kwargs): pass @classmethod def __init_subclass__(cls): 'This method is called when a class is subclas...
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def predict_with_network(input_data): # Calculate node 0 in the first hidden layer node_0_0_input = (input_data * weights['node_0_0']).sum() node_0_0_output = relu(node_0_0_input) # Calculate node 1 in the first hidden layer node_0_1_input = (input_data * weights['node_0_1']).sum() node_0_1_out...
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from part1 import ( gamma_board, gamma_busy_fields, gamma_delete, gamma_free_fields, gamma_golden_move, gamma_golden_possible, gamma_move, gamma_new, ) """ scenario: test_random_actions uuid: 239061968 """ """ random actions, total chaos """ board = gamma_new(2, 3, 2, 4) assert board is...
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'''arange''' # an arange returns evenly spaced values (where you give the space size) within a given interval and is part of the numpy package #numpy.arange(start,stop,step) #where start is a number that you want to start with, the interval includes this value #stop is the end of the interval the interval does not ...
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from tkinter.filedialog import * import cv2 as cv import cv2 from PIL import Image, ImageGrab import os import tkinter import tkinter.filedialog import time from PIL import ImageGrab,ImageTk import pho_reg as pr from tkinter.messagebox import askyesno import numpy as np from keras.models import * class...
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# Ceci est un test de code Python # Accents a verifier à é ù def fonc(x): """Fait ceci à é ù""" return x ** 2 + 1
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from livenessnetwork.livenessnet import LivenessNet from sklearn.preprocessing import LabelEncoder from sklearn.model_selection import train_test_split from sklearn.metrics import classification_report from tensorflow.keras.preprocessing.image import ImageDataGenerator from tensorflow.keras.optimizers import Adam # fro...
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from flask_api import FlaskAPI from flask import request from flask_cors import CORS, cross_origin import os from datetime import datetime import moment from .blueprints.ranking import ranking_blueprint from .blueprints.retencao import retencao_blueprint # def create_app(setting=None): # Inicia uma aplicacap f...
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import numpy as np import cv2 def convolutionColor(image, kernel, average=False, debug=False): # Color Convolution of the Image with kernel # Implements 3*3 kernel on all 3 layers(RGB) of the images print("Image Shape : {}".format(image.shape)) print("Kernel shape : {}".format(kernel.shape)) if ...
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BLACK, RED, GREEN, YELLOW, BLUE, MAGENTA, CYAN, WHITE = range(8) RESET_SEQ = "\033[0m" COLOR_SEQ = "\033[1;%dm" BOLD_SEQ = "\033[1m" def colourize(s, colour): return COLOR_SEQ % (30 + colour) + s + RESET_SEQ
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#! /usr/local/opt/python/libexec/bin/python """ Functions used to plot the output figures ========================================= """ # Created: Thu Nov 16, 2017 02:05PM # Last modified: Fri Nov 17, 2017 09:02AM # Copyright: Bedartha Goswami <goswami@pik-potsdam.de> import numpy as np import datetime as dt from...
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#!/usr/bin/python #Read in CSV data and write to XML file import csv, os, sys def xml_encode(input): output = str.replace(input, '&', '&amp;') output = str.replace(output, '>', '&gt;') output = str.replace(output, '<', '&lt;') output = str.replace(output, '\n', '<xhtml:p/>') return output #Files to read an...
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nums = [4,2,3] nums = [4,2,1] nums = [3,4,2,3] nums = [1,2,3,1] # mine class Solution: def checkPossibility(self, nums): for i in range(len(nums)): nums_copy = nums.copy() nums_copy[i] = nums_copy[i-1] if i>0 else float('-inf') if nums_copy == sorted(nums_copy): ...
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from collections import defaultdict from matplotlib import cm from multiprocessing import Pool from PIL import Image from scipy import spatial from skimage import color, data, exposure, filters, measure, feature, io, color, draw, transform from skimage.color import rgb2gray, rgb2grey from skimage.draw import line from ...
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# -*- coding: utf-8 -*- """ Created on Mon Jul 19 18:55:29 2021 Program: bitcoin.py @author: Fabio Batista Rodrigues """ # Este programa recebe dados atuais do bitcoin por um determinado tempo e imprimi # ao final um grafico # Ou seja, enquanto estiver rodando recebe e armazena # Importar bibliotecas imp...
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"""landscapes URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/1.11/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: url(r'^$', views.home, name='home') Class...
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""" ASGI config for rasp_log_system project. It exposes the ASGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/ """ import os from django.core.asgi import get_asgi_application os.environ.setdefault('DJAN...
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a = input("Você tem dúvidas? ") while a != "não": print("Pratique mais") if a == "não": print("Até a próxima")
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import os basedir = os.path.abspath(os.path.dirname(__file__)) SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(basedir, 'app.db') SQLALCHEMY_MIGRATE_REPO = os.path.join(basedir, 'db_repository')
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from _external import * from boost import * boost_math = LibWithHeaderChecker( [ 'boost_math_c99', #'boost_math_c99l', 'boost_math_c99f', 'boost_math_tr1', #'boost_math_tr1l', 'boost_math_tr1f', ], 'boost/math/special_functions.hpp', 'c++', name='boost_math', dependencies=[boost], )
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# Generated by Django 3.2.7 on 2021-09-09 14:42 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('main', '0003_auto_202109...
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# Copyright (c) 2016, Daniele Venzano # # 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 w...
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#!/usr/bin/env python # # Copyright (c) Microsoft Corporation. # Licensed under the MIT License. import logging import os from typing import Any, List, Optional, Tuple from azure.cli.core import CLIError from azure.common.client_factory import get_client_from_cli_profile from azure.graphrbac import GraphRbacManagemen...
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import sys from sources.test import TestStreamReader, TestResultReader from sources.serial import SerialStreamReader, SerialResultReader from sources.tcpip import TCPIPStreamReader, TCPIPResultReader from sources.fusion import FusionStreamReader, FusionResultReader if sys.platform not in ["win32", "darwin"]: from ...
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#!/usr/bin/env python #encoding: utf8 import sys, rospy, math from pimouse_ros.msg import MotorFreqs from geometry_msgs.msg import Twist from std_srvs.srv import Trigger,TriggerResponse class Motor(): def __init__(self): if not self.set_power(False): sys.exit(1) rospy.on_shutdown(self.set_power) ...
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/car_manager.py
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from turtle import Turtle import random COLORS = ["red", "orange", "yellow", "green", "blue", "purple"] STARTING_MOVE_DISTANCE = 5 MOVE_INCREMENT = 10 class CarManager: def __init__(self): self.all_cars = [] self.car_speed = STARTING_MOVE_DISTANCE def create_car(self): random_chance...
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#!/usr/bin/env python # -*- coding=utf-8 -*- # author: Dongye<dongye_bio@qq.com> # 2019-08-01 14:29 import sys import time import win32gui, win32ui, win32con from PIL import Image args = sys.argv def window_capture(window_name, filename): hwnd = win32gui.FindWindow("Notepad", window_name) left, top, right, ...
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import requests from bs4 import BeautifulSoup from urllib.parse import urljoin USER = "<TEST>" PASS = "<TEST>" # start a session session = requests.session() # login login_info = { "m_id": USER, "m_passwd": PASS } url_login = "http://www.hanbit.co.kr/member/login_proc.php" res = session.post(url_login, data=logi...
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# coding: utf-8 import pyslogger.server def main(): pyslogger.server.main() if __name__ == '__main__': main()
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# coding=utf_8 import http.client import socket import utils.json_serializer as json import utils.errors as errors import memoize import utils.config as config memoKeys = {} memo = memoize.Memoizer(memoKeys) """ @apiDefine AuthHeader @apiExample {String} Header Autorización Authorization=bearer {token} @apiEr...
[ "mercedesmp1305@gmail.com" ]
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''' this script takes as input the LSTM or RNN weights found by train.py change the path in the shared_variables.py to point to the h5 file with LSTM or RNN weights generated by train.py Author: Niek Tax ''' from __future__ import division from keras.models import load_model import csv import copy import numpy as np ...
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# -*- coding: utf-8 -*- import re from six.moves.urllib.parse import urlparse import gzip def blacklist(file_name): blacklist = set() with open(file_name,'r') as f: for row in f: s = row.strip() if len(s) > 0: if s[0] == "#": s = s[1:] #print("debug: %s" % s) bla...
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import _surface import chimera try: import chimera.runCommand except: pass from VolumePath import markerset as ms try: from VolumePath import Marker_Set, Link new_marker_set=Marker_Set except: from VolumePath import volume_path_dialog d= volume_path_dialog(True) new_marker_set= d.new_marker_set marker_set...
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"""Loads CartPole-v1 demonstrations and trains BC, GAIL, and AIRL models on that data. """ import pathlib import pickle import tempfile import stable_baselines3 as sb3 from torch import nn import torch as th from imitation.algorithms import adversarial, bc from imitation.data import rollout from imitation.util import...
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from django.db import models from django.utils import timezone from django.contrib.auth.models import User # Create your models here. class Commands(models.Model): command = models.CharField(max_length=255) description = models.TextField() link = models.CharField(max_length=255) html = models.TextField(...
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#!/usr/bin/python2.6 import numpy, corr, time, struct, sys, logging, pylab, matplotlib, scipy #connect roach fpga = corr.katcp_wrapper.FpgaClient('192.168.40.70') time.sleep(1) #pay attention, the snap module is controled by the inner software register #as snap64_ctrl which can be found at /proc/pid/hw/ioreg/ #the ...
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from sklearn.linear_model import LinearRegression import numpy as np import matplotlib.pyplot as plt temp = np.array([18,16,25,34,35,36,27,24,28,16,36,32,22,24]) time = np.array([0.8,0.4,3.5,8,10,14,5,2,7,0.4,13.5,9.8,1.2,2.7]) tempRes = np.reshape(temp,(len(temp),1)) timeRes = np.reshape(time,(len(time),1)) lm = Lin...
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""" Django settings for snap project. Generated by 'django-admin startproject' using Django 2.0.2. For more information on this file, see https://docs.djangoproject.com/en/2.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.0/ref/settings/ """ import os # Bu...
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a, b, c = map(int, input().split()) a = min(b + c, a) c = b + c - a print(c)
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"""buildmart 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-bas...
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#!C:\Users\ÑîÆð\PycharmProjects\untitled4\venv\Scripts\python.exe -x # EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==28.8.0','console_scripts','easy_install' __requires__ = 'setuptools==28.8.0' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw...
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try: import tkinter # python 3 except ImportError: # python 2 import Tkinter as tkinter # print(tkinter.TkVersion) # print(tkinter.TclVersion) # ============ Example with button =========== # class Application(tk.Frame): # def __init__(self, master=None): # tk.Frame.__init__(self, master) # ...
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import sys if __package__ is None: import sys, os sys.path.append(os.path.realpath("/data/shared/Software/")) sys.path.append(os.path.realpath("../")) p = "/home/dweitekamp/mpi_learn/" if(not p in sys.path): sys.path.append(p) from CMS_Deep_Learning.utils.deepconfig import deepconfig deepconfig("cpu",...
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import numpy as np class ImageNoise(object): """ class that deals with noise properties of imaging data """ def __init__(self, image_data, exposure_time=None, background_rms=None, noise_map=None, verbose=True): """ :param image_data: numpy array, pixel data values :param expo...
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import json class Tweet: def __init__(self, raw): self.raw = raw def followers(self): return self. raw['user']['followers_count'] def __cmp__(self, other): return other.followers() - self.followers() def __str__(self): return '@{0} at {1}: '.format( self...
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import sys open3d_path = '/mnt/A/jokery/projects/Open3D_test3/src/build/lib/' tc_path = '/mnt/A/jokery/projects/08_2/' sys.path.append(open3d_path) from py3d import * def get_tc_path(): return tc_path
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# -*- coding: utf-8 -*- # This is just a lot of inside-joke type of scripts, so I don't know how much use someone else will get out of it from time import sleep name = 'misc' enabled = False operator = False def inline(self, c, e, line, message_source, target): if line[0] == "@seen": sleep(1) self...
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from django.contrib import admin from myapp.models import Actividad, Usuario, UsuarioActiv, UltimaActualiz, ComentActiv # Register your models here. admin.site.register(Actividad) admin.site.register(Usuario) admin.site.register(UsuarioActiv) admin.site.register(UltimaActualiz) admin.site.register(ComentActiv)
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""" SleekXMPP: The Sleek XMPP Library Copyright (C) 2011 Nathanael C. Fritz This file is part of SleekXMPP. See the file LICENSE for copying permission. """ import logging from sleekxmpp.stanza import StreamFeatures from sleekxmpp.xmlstream import RestartStream, register_stanza_plugin from sleekxmpp...
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#!/usr/bin/env python import os import sys from distutils.core import setup, Extension def main(): if not float(sys.version[:3])>=2.4: sys.stderr.write("CRITICAL: Python version must be greater than or equal to 2.4! python 2.6.2 is recommended!\n") sys.exit(1) setup(name="taolib", ve...
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from daddy import utils from discord.ext import commands import aiohttp import discord import json class Countdown(): """Crypto exchange API for Daddy""" def __init__(self, bot): self.bot = bot @staticmethod def create_url(src, dst): return Exchange.API_URL.format(src, dst) # @ut...
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from django_python3_ldap.utils import format_search_filters def custom_format_search_filters(ldap_fields): # Add in simple filters. ldap_fields["memberOf"] = "foo" # Call the base format callable. search_filters = format_search_filters(ldap_fields) # Advanced: apply custom LDAP filter logic. se...
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DATA = '/data/theory/robustopt/engstrom/store/spatial_eval' import itertools from cox.readers import CollectionReader from cox.store import Store r = CollectionReader(DATA) metadata_df = r.df('metadata') res_df = r.df('results') def get(orig, attack): orig_model = metadata_df['resume'].apply(lambda x:x[46:-19]) ...
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import kdezero from kdezero import as_variable, Function from kdezero import cuda from kdezero.functions.ndarray_functions import matmul, sum_to, sum class Linear(Function): """y = x * W + b """ def forward(self, x, W, b): y = x.dot(W) if b is not None: y += b return y ...
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# -*- coding: utf-8 -*- # Generated by Django 1.10.6 on 2017-04-18 15:02 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('gag', '0013_auto_20170418_2027'), ] operations = [ migrations.AlterField( ...
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