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/๋Œ ๊ตฌ๋ถ„.py
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print("์•Œ๊ณ ์‹ถ์€ ์•”์„์˜ ์ด๋ฆ„์„ ์ ์–ด์ฃผ์„ธ์š”.(๋›ฐ์–ด์“ฐ๊ธฐ ์ œ์™ธ)") rock_1[ํ™”๊ฐ•์•”] = 'ํ™”์„ฑ์•”' rock_1[์„ฌ๋ก์•”] = 'ํ™”์„ฑ์•”' rock_1[๋ฐ˜๋ ค์•”] = 'ํ™”์„ฑ์•”' rock_1[๊ฐ๋žŒ์•”] = 'ํ™”์„ฑ์•”' rock_1[์œ ๋ฌธ์•”] = 'ํ™”์„ฑ์•”' rock_1[์•ˆ์‚ฐ์•”] = 'ํ™”์„ฑ์•”' rock_1[ํ˜„๋ฌด์•”] = 'ํ™”์„ฑ์•”' rock_1[ํ‘์š”์„] = 'ํ™”์„ฑ์•”' rock_1[ํœ˜๋ก์•”] = 'ํ™”์„ฑ์•”' rock_1[์„ฌ๋ก๋ฐ˜์•”] = 'ํ™”์„ฑ์•”' rock_1[์„์˜๋ฐ˜์•”] = 'ํ™”์„ฑ์•”' rock_2[๋Œ€๋ฆฌ์•”] = '๋ณ€์„ฑ์•”' rock_2[๊ทœ์•”] = '๋ณ€์„ฑ์•”' rock_2[์ฒœ๋งค์•”] = '๋ณ€์„ฑ์•”' ...
[ "51483322+harruhi@users.noreply.github.com" ]
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yeboyebo/elganso_sync
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# @class_declaration interna_eg_cupones # import importlib from YBUTILS.viewREST import helpers from models.flfact_tpv import models as modelos class interna_eg_cupones(modelos.mtd_eg_cupones, helpers.MixinConAcciones): pass class Meta: proxy = True # @class_declaration elganso_sync_eg_cupones # ...
[ "jesus.yeboyebo@gmail.com" ]
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tillaczel/LSTM-GRU-RF-predicting-SP500
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2020-06-28T22:09:13.049625
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import pandas as pd import numpy as np import matplotlib.pyplot as plt import random def resample_data(df,frequency): df['Date'] = pd.to_datetime(df['Date']) df = (df.set_index('Date') .resample(frequency).first() .reset_index() .reindex(columns=df.columns)).dropna() ret...
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/day06/ๆฑ‚ๅŒบ้—ด็š„ๆ•ดๆ•ฐๅ’Œๅ‡ฝๆ•ฐ็‰ˆ.py
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Icecarry/learn
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# ็ผ–ๅ†™ไธ€ๆฎตไปฃ็ ๏ผŒๆฑ‚1-100ไน‹้—ดๆ‰€ๆœ‰ๆ•ดๆ•ฐ็š„ๅ’Œ # def sum1(m, n): # return summer # sum1(1, 50) # ็”จๆˆท่พ“ๅ…ฅ num1 = int(input("่ฏท่พ“ๅ…ฅ่ตทๅง‹ๆ•ฐ๏ผš")) num2 = int(input("่ฏท่พ“ๅ…ฅ็ป“ๆŸ็š„ๆ•ฐ๏ผš")) # print("%d - %d ไน‹้—ด็š„ๆ‰€ๆœ‰ๆ•ดๆ•ฐๅ’Œไธบ๏ผš" % (num1, num2), sum1(num1, num2)) # ่ฟ็”จๅพช็Žฏ็ดฏๅŠ  summer = 0 for x in range(num2 + 1): if x >= num1: summer += x else: continue pri...
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2020-06-04T01:00:39.455377
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#what is the first term in the Fibonacci sequence to contain 1000 digits? a=1 b=1 c=0 i=0 s=0 count=0 z=2 while(count<1): c=a+b a=b b=c z=z+1 if len(str(c))==1000: print"the term is",z count=count+1
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from flask import Flask, render_template, jsonify, request app = Flask(__name__) from pymongo import MongoClient client = MongoClient('localhost', 27017) db = client.dbhomework ## HTML ํ™”๋ฉด ๋ณด๊ธฐ @app.route('/') def hw4(): return render_template('index.html') # ์ฃผ๋ฌธํ•˜๊ธฐ(POST) API @app.route('/order', methods=['POST']...
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# importing the necessary dependencies from flask import Flask, render_template, request,send_file from flask_cors import CORS,cross_origin import numpy as np import os import tensorflow as tf import easyocr as ocr import cv2 from object_detection.utils import label_map_util os.putenv('LANG', 'en_US.UTF-8') ...
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kyeremalprime/ms
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# uncompyle6 version 2.9.10 # Python bytecode 2.7 (62211) # Decompiled from: Python 3.6.0b2 (default, Oct 11 2016, 05:27:10) # [GCC 6.2.0 20161005] # Embedded file name: _parseaddr.py """Email address parsing code. Lifted directly from rfc822.py. This should eventually be rewritten. """ __all__ = [ 'mktime_tz', 'p...
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2018-12-13T23:54:41
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class DistrictRaw: def __init__(self, district_id, name, region, no_of_inhabitants, no_of_municipalities_with_inhabitants_lt_499, no_of_municipalities_with_inhabitants_gt_500_lt_1999, no_of_municipalities_with_inhabitants_gt2000_lt_9999, no_of_municipalities_with_inhabitants_gt_10000, no_of_cities, ratio_of_urban_i...
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lazaroosta@hotmail.com
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print("Hello World") print("Cheese and Crackers for everyone!")
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noreply@github.com
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/data_extract.py
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tarun0409/generative-neural-network-based-image-compression
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2020-04-30T00:53:27.550444
2019-04-29T18:18:21
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import pickle import os import numpy as npy from PIL import Image from tensorflow.examples.tutorials.mnist import input_data import cv2 folders = ['airplane','automobile','flowers_resized','mnist'] data = None for folder_name in folders: if folder_name == 'mnist': data = input_data.read_data_sets("mnist", one_hot...
[ "tarun.mohandas@gmail.com" ]
tarun.mohandas@gmail.com
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jasonLaster/CoursePicker
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refs/heads/master
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#!/usr/bin/env python # # Imports median json information to database # import couchdb import medians COUCHDB_USER = 'mediancrawler' COUCHDB_PASS = 'veQu6moh' records = medians.load() # Create database couch = couchdb.Server() if 'medians' in couch: del couch['medians'] db = couch.create('medians') # Populat...
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typppo@gmail.com
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Gattocrucco/locs12
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import numpy as np from matplotlib import pyplot as plt from scipy import interpolate import textbox inphotons = 2 # in [3, 7, 10, 15, 20, 30, 40] idcr = 1 # in [25, 250] cps/pdm rate = 100 # cps table = np.load('temps1series0213.npy') figkw = dict(clear=True, sharex=True, figsize=[9, 7]) figs = [] axs = [] for wna...
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import optparse import os import mimetypes from page_classifier import dataset, imagetools, ui def classify(dataset_fname, image_fname): c = dataset.Classifier(dataset_fname) c.build() print c.classify_one(imagetools.load(image_fname)) def generate(dataset_fname, image_dir): data = dataset.Classifier("page-block...
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luisgui2007@gmail.com
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/MCMC.py
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[]
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WuShichao/gravitational-waves
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# This script runs, non-interactively, the MCMC simulation # also presented in the accompanything iPython notebook. It # was used to generate the data available for loading in. import numpy as np import pymc import math import pandas as pd np.random.seed(0) # For reproducibility #def simple_signal(t, offset, A, f, df...
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FreeA7/AlgorithmProblems
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# -*- coding: utf-8 -*- """ Created on Mon Mar 30 14:02:02 2020 @author: FreeA7 https://www.nowcoder.com/practice/05dab66e4e814e21a9a3496fbddb69f1 ไผ—ๆ‰€ๅ‘จ็Ÿฅ๏ผŒ็‰›็‰›ไธๅ–œ6่ฟ™ไธชๆ•ฐๅญ—๏ผˆๅ› ไธบ็‰›็‰›ๅ’Œ66ๅ‘้Ÿณ็›ธ่ฟ‘ ไปฅไป–ๆƒณ็Ÿฅ้“๏ผŒไธ่ถ…่ฟ‡nไฝๅ่ฟ›ๅˆถๆ•ฐไธญๆœ‰ๅฐ‘ๆ•ฐๅญ—ไธๅซๆœ‰่ฟž6๏ผˆไปŽ1ๅง‹็ฎ—็š„๏ผ‰ ่พ“ๅ…ฅๅŒ…ๅซๆญฃๆ•ดๆ•ฐn1<=n<20 ็คบไพ‹1 ่พ“ๅ…ฅ 1 ่พ“ๅ‡บ 10 ่ฏดๆ˜Ž 1,2,3,4,5,6,7,8,9,10 ่ฟ™ๅๆ•ฐๅญ—้ƒฝๆปก่ถณๆก ็คบไพ‹2 ่พ“ๅ…ฅ ...
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#!/usr/bin/env python # This work was created by participants in the DataONE project, and is # jointly copyrighted by participating institutions in DataONE. For # more information on DataONE, see our web site at http://dataone.org. # # Copyright 2009-2019 DataONE # # Licensed under the Apache License, Version 2.0 (t...
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#!/Users/prestonprice/Documents/ForegroundWebApp/flask/bin/python2.7 # # The Python Imaging Library # $Id$ # # split an animation into a number of frame files # from __future__ import print_function from PIL import Image import os import sys class Interval(object): def __init__(self, interval="0"): se...
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from time import sleep from os import walk import serial import json import threading from pyModbusTCP.client import ModbusClient import fingerprintlib SERVER_HOST = "192.168.1.5" SERVER_PORT = 502 c = ModbusClient() c.host(SERVER_HOST) c.port(SERVER_PORT) hid = {4: 'a', 5: 'b', 6: 'c', 7: 'd', 8: 'e', 9: 'f', 10: 'g'...
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from copy import deepcopy def is_solved(graph, m, n): for i in range(m-1, m-1+n): for j in range(m-1, m-1+n): if graph[i][j] != 1: return False return True def rotate(key): new_key = [[0]*len(key[0]) for _ in range(len(key[0]))] for i in range(len(key)): f...
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# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. from functools import partial import numpy as np import pyomo.environ as pyomo import nevergrad.common.typing as tp from n...
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def add_to(num, target=[]): target.append(num) return target print(add_to(1)) # output: [1] print(add_to(2)) # output: [1, 2] print(add_to(3)) # output: [1, 2, 3] def add_to_2(num, target=None): if target is None: target = [] target.append(num) return target print(add_to_2(1)) # output...
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import sqlite from tkinter import * from tkinter import messagebox class DB: def __init__(self): self.con=sqlite3.connect("books.db") self.cursor=self.con.cursor() self.con.execute("CREATE TABLE IF NOT EXISTS kitab(id INTEGER PRIMARY KEY,title TEXT,isbn INTEGER)") self.con.c...
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#!/home/tenthent/DjnagoNews/venv/bin/python3 # -*- coding: utf-8 -*- import re import sys from sqlparse.__main__ import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())
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# QUEUE IMPLEMENTATION # DO NOT MODIFY class Queue(object): def __init__(self, list=None): if list is None: list = [] self.queue = list def get_list(self): return self.queue def size(self): return len(self.queue) def front(self): if self.is_empty()...
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#!/usr/bin/env python2.5 """ GreenHadoop makes Hadoop aware of solar energy availability. http://www.research.rutgers.edu/~goiri/ Copyright (C) 2012 Inigo Goiri, Rutgers University This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by...
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import pybullet as p import time p.connect(p.GUI) plane = p.loadURDF("plane.urdf") p.setGravity(0,0,-9.8) p.setTimeStep(1./500) #p.setDefaultContactERP(0) #urdfFlags = p.URDF_USE_SELF_COLLISION+p.URDF_USE_SELF_COLLISION_EXCLUDE_ALL_PARENTS urdfFlags = p.URDF_USE_SELF_COLLISION quadruped = p.loadURDF("laikago_toes.urd...
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############################################################################### # Copyright (c) 2015-2019, Lawrence Livermore National Security, LLC. # # Produced at the Lawrence Livermore National Laboratory # # LLNL-CODE-716457 # # All rights reserved. # # This file is part of Ascent. # # For details, see: http://asc...
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from sys import argv from math import sqrt, pow, sin, cos, radians from time import localtime, strftime, time from decimal import getcontext, Decimal import networkx as nx, numpy as np from matplotlib import pyplot as plt, pylab class SolutionOne: def __init__(self, N, d): self.N = int(N) self.dia...
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# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'frmTUT4Online.ui' # # Created: Tue Feb 01 09:09:18 2011 # by: PyQt4 UI code generator 4.5.4 # # WARNING! All changes made in this file will be lost! from PyQt4 import QtCore, QtGui class Ui_frmTUT4Online(object): def setupUi(self,...
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############################################################################################################################################################################################################# ##################################################################################################################...
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""" Django settings for portfolio project. Generated by 'django-admin startproject' using Django 3.0.2. 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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#!/usr/bin/env python import sys import syslog import RPi.GPIO as GPIO import time import picamera import subprocess started = False running = True run=0 frame=0 syslog.openlog("rpi-photo-monitor") FRAMES_PER_HOUR = 4 try: cam = picamera.PiCamera() cam.resolution = (2592,1944) cam.led = False cam.vflip = True ...
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def liida(m1, m2): if len(m1)!=len(m2) or len(m1[0])!=len(m2[0]): return "Maatrikseid ei saa liita" else: summa=[] for x in range(len(m1)): rida=[] for y in range(len(m1[0])): arv=float(m1[x][y])+float(m2[x][y]) if arv%1==0...
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from django.conf.urls import url from . import views urlpatterns = [ url(r'^$', views.CV, name='CV'), url(r'^cv/', views.CV, name='CV'), url(r'^projets/', views.Projets, name='Projets'), url(r'^focus/(?P<project_uid>\d+)', views.ProjetFocus, name='focus'), ]
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from __future__ import division import numpy as np import torch import torch.nn as nn from mmcv.cnn import normal_init from mmdet.core import (AnchorGenerator, anchor_target, delta2bbox, force_fp32, multi_apply, multiclass_nms) from ..builder import build_loss from ..registry import ...
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#! /usr/bin/env python from numpy import * from pylab import * from math import * from pylab import * from matplotlib.widgets import Slider import matplotlib.pyplot as plt import matplotlib.cm as cm import matplotlib.mlab as mlab import tkFileDialog import numpy as np import nvsmob import nelmin from matplotlib.font_m...
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from __future__ import absolute_import from django.http import FileResponse from whitenoise.django import DjangoWhiteNoise class WhiteNoiseMiddleware(DjangoWhiteNoise): """ Wrap DjangoWhiteNoise to allow it to function as Django middleware, rather than WSGI middleware This functions as ...
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# Generated by Django 3.2.5 on 2021-07-26 06:43 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('users', '0001_initial'), ('books', '0001_initial'), ] operations = [ migrations...
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import unittest from max_and_min_number import find_max_min class MaxMinTest(unittest.TestCase): """docstring for MaxMinTest""" def test_find_max_min_four(self): self.assertListEqual([1, 4], find_max_min([1, 2, 3, 4]), msg='should return [1,4] f...
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import numpy as np from sklearn.metrics import mean_squared_error, accuracy_score import tensorflow as tf from keras import backend as K class SaveData(object): @staticmethod def save_npy(filename, data): filename = filename + ".npy" np.save(filename, data) @staticmethod def load_npy(fi...
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#!/usr/bin/python #-*- coding:utf-8 -*- from __future__ import unicode_literals from django.db import models from DjangoUeditor.models import UEditorField from django.core.urlresolvers import reverse KIND_CHOICES=( ('python','python'), ('c++','c++'), ('java','java'), ('javascript','javascript'), ('html','ht...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ CS224N 2018-19: Homework 5 nmt.py: NMT Model Pencheng Yin <pcyin@cs.cmu.edu> Sahil Chopra <schopra8@stanford.edu> """ import math from typing import List import numpy as np import torch import torch.nn as nn import torch.nn.functional as F def pad...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # ----------------------------------------------------------------------------- # # FreeType high-level python API - Copyright 2011 Nicolas P. Rougier # Distributed under the terms of the new BSD license. # # ---------------------------------------------------------------...
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# -*- coding: utf-8 -*- ### # Copyright (c) 2007, Mike McGrath # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, # ...
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from django.db import models from datetime import datetime from django.contrib.auth.models import User from django.forms import ModelForm from django import forms # Create your models here. class Tournament(models.Model): """ Contains data about the overall tournament. Associates the tournament with an own...
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#!/usr/bin/env python #coding=utf-8 ''' Created on 2017๏ฟฝ๏ฟฝ3๏ฟฝ๏ฟฝ20๏ฟฝ๏ฟฝ @author: Administrator ''' #class JudgeCase(): def judgeInsertDataInList(insertData,list): if insertData in list: return True else: return False def judgeEqual(insertData,data): if insertData==data: return True els...
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# Generated by Django 3.0 on 2020-09-09 05:08 import django.core.validators from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('gyms', '0002_auto_20200903_1750'), ] operations = [ migrations.AlterField( model_name='gym', ...
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"""cloth_tools.py""" import maya.cmds as mc def disconnect_cache(): """Delete clothSetup blendshape nodes if they exist.""" clothSetup = [f for f in mc.ls(type='blendShape') if mc.attributeQuery('clothSetup', exists=True, node=f)] if clothSetup: mc.delete(clothSetup) def connect_cache(task='fx...
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from django.shortcuts import render, redirect from .models import Contact import json from django.contrib import messages # Create your views here. # view for homepage def indexHome(request): return render(request, 'contacts/index.html', { }) # view for contacts lists def indexContacts(request): context =...
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#!/usr/bin/env python from setuptools import setup, find_packages setup(name='androidviewclient', version='20.0.0b5', description='''AndroidViewClient is a 100% pure python library and tools that simplifies test script creation providing higher level operations and the ability of obtaining...
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from libcloud.compute.types import Provider from libcloud.compute.providers import get_driver cls = get_driver(Provider.CLOUDSIGMA) driver = cls('username', 'password', region='zrh', api_version='2.0') subscription = driver.ex_create_subscription(amount=1, period='30 days', ...
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# board = [["A","B","C","E"], # ["S","F","C","S"], # ["A","D","E","E"]] # word = "ABCCED" # word = "ABCB" board = [["C","A","A"], ["A","A","A"], ["B","C","D"]] word = "AAB" def exist(board,word): m,n = len(board),len(board[0]) def dfs(i,j,word): if not word: ...
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import tensorflow as tf from sandbox.rocky.tf.policies.gaussian_mlp_policy import GaussianMLPPolicy from sandbox.rocky.tf.envs.base import TfEnv from rllab.baselines.linear_feature_baseline import LinearFeatureBaseline from rllab.envs.gym_env import GymEnv from inverse_rl.algos.irl_trpo import IRLTRPO from inverse_r...
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# 345. ๅ่ฝฌๅญ—็ฌฆไธฒไธญ็š„ๅ…ƒ้Ÿณๅญ—ๆฏ class Solution: def reverseVowels(self, s: str) -> str: def isVowel(ch: str) -> bool: return ch in "aeiouAEIOU" s = list(s) n = len(s) i, j = 0, n-1 while i < j: while i < n and not isVowel(s[i]): i += 1 ...
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from typing import Callable import numpy as np from PyQt5.QtCore import QPoint, Qt, QCoreApplication from PyQt5.QtGui import QPixmap, QPainterPath, QPen, QColor, QImage from PyQt5.QtWidgets import QGraphicsView, QLabel, QGraphicsScene, QGraphicsPixmapItem, QSlider from spectral import open_image, get_rgb from spectral...
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from __future__ import print_function import sys from pyspark.sql import SparkSession if __name__ == "__main__": if len(sys.argv) != 2: print("Usage: try <file>", file=sys.stderr) exit(-1) input_file = sys.argv[1] spark = SparkSession.builder.appName("PrintWords").getOrCreate() line...
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from __future__ import absolute_import, division, print_function, with_statement import socket from tornado import gen from tornado.iostream import IOStream from tornado.log import app_log from tornado.stack_context import NullContext from tornado.tcpserver import TCPServer from tornado.testing import AsyncTestCase, E...
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print(''' Find the greatest product of five consecutive digits in the 1000-digit number. ''') longNumber = ''' 73167176531330624919225119674426574742355349194934 96983520312774506326239578318016984801869478851843 85861560789112949495459501737958331952853208805511 125406987471585238630507156932909632952274430...
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from __future__ import annotations import numpy as np import scipy.optimize import scipy.spatial.distance import scipy.special import sklearn.gaussian_process.kernels as kernels from smac.model.gaussian_process.kernels.base_kernels import AbstractKernel from smac.model.gaussian_process.priors.abstract_prior import Ab...
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#! /usr/bin/env python def thing(str_arg): way(str_arg) print('seem_great_time') def way(str_arg): print(str_arg) if __name__ == '__main__': thing('be_work_to_next_time')
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triangle_set = [1] def is_triangle(n): k = len(triangle_set) + 1 while n > triangle_set[-1]: triangle_set.append((k * (k +1)) // 2) k += 1 return n == triangle_set[-1] or n in triangle_set character_map = {chr(k):v+1 for (v,k) in enumerate(range(65,91))} def word_value(word): return sum([character_map[c] for ...
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from selenium import webdriver from selenium.webdriver.common.keys import Keys import time #ๆ–‡ไปถๅ‘ฝๅๆณจๆ„ไธ่ฆ้€‰selenium,ไผšๅ’Œๆจกๅ—ๅ้‡ๅˆ๏ผŒๅฏผ่‡ดๆ— ๆณ•ๆญฃ็กฎๅฏผๅ…ฅseleniumๅŒ… driver = webdriver.Firefox() #ๆ˜ฏwww.douban.comไธญๅตŒๅ…ฅ็š„html้กต้ข๏ผŒ็›ดๆŽฅไฝฟ็”จๅ…ถไธญ็š„srcๅฏผๅ‘็š„้“พๆŽฅไธๆญฃ็กฎ driver.get("https://www.douban.com/") # ๆจกๆ‹Ÿ็‚นๅ‡ป็™ปๅฝ• driver.switch_to.frame(0) driver.find_element_b...
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from torch2trt_dynamic.torch2trt_dynamic import * @tensorrt_converter('torch.Tensor.new_ones') def convert_new_ones(ctx): input = ctx.method_args[0] size = get_arg(ctx, 'size', pos=1, default=None) dtype = get_arg(ctx, 'dtype', pos=2, default=input.dtype) output = ctx.method_return if isinstance...
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"""firstsite URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.0/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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from sqlalchemy import Column, Integer, String,DateTime from sqlalchemy.ext.declarative import declarative_base import datetime from Utils.UniqueIdUtil import gen_guid base = declarative_base() class Entity(base): __abstract__ = True # __tablename__ = "Entity" id = Column(Integer, primary_key=True,autoi...
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#!/usr/bin/python # Author: Wayne Keenan # email: wayne@thebubbleworks.com # Twitter: https://twitter.com/wkeenan HCIPY_HCI_CMD_STRUCT_HEADER = "<BHB" HCIPY_HCI_FILTER_STRUCT = "<LLLH" # HCI ioctl Commands: HCIDEVUP = 0x400448c9 # 201 HCIDEVDOWN = 0x400448ca # 202 HCIGETDEVINFO = -2147202861 #0x800448d3L # ...
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# Using Neural network class FlatDataset(torch.utils.data.Dataset): def __init__(self, features, targets): self.features = features self.targets = targets def __len__(self): return len(self.features) def __getitem__(self, idx): return self.features[idx], self.t...
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#!/usr/bin/python3 """ Square Module """ class Square: """ Class of Square """ def __init__(self, size=0): """ check conditions of size """ if isinstance(size, int): if size >= 0: self.__size = size ...
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#Autor:Itzel Yanabany Castro Becerril #Costo total de la cuenta cuenta=int(input("Costo de tu cuenta: ")) propina=cuenta*0.13 iva= cuenta*0.16 total=cuenta+propina+iva print("Propina: %.2f"%(propina)) print("IVA: %.2f" % (iva)) print("Total a pagar: %.2f" % (total))
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""" WSGI config for TuitionBD 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/2.0/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault("DJANGO_SET...
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import numpy as np import matplotlib.pyplot as plt import time np.set_printoptions(precision=3) def insertionSort(arr): for i in range(1, len(arr)): key = np.copy(arr[i]) j = i-1 while j >= 0 and key < arr[j] : arr[j + 1] = arr[j] j -= 1 arr[j + 1] = key def mergeSort(arr): if l...
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import numpy as np from sklearn.preprocessing import scale class KNN: def __init__(self, k, n_classes): self.k = k self.n_classes = n_classes def prob(self, x): """Probability vector for x belonging to any class""" # Compute indexes of the k nearest neighbours distance...
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#!/usr/bin/env python import argparse import sys, math, os from astropy.io import fits from Spectra_header import Spectra_header # PYTHONPATH='/Users/tony/Desktop/Repositories/Project/' # Argparse, still need to fix to take in a directory with multiple fit files parser = argparse.ArgumentParser(description="This progr...
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fruits=("apple","mangoes","grapes","banana") print(fruits) x=() print(x) tuplex=tuple() print(tuplex) numbers=(1,2,3,4,5) print(numbers[1]) n=(4,) print(n) y={0:10,1:20} print(y[1]) a={0:10,1:20,} a[2]=30 print(a) students={"age":"sharon","status":"grace","name":"loyce"} students["class"]="jane" print(students) country...
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# -*- coding: utf-8 -*- ################################################################################ # Copyright (C) 2011 Travis Shirk <travis@pobox.com> # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free So...
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from xai.brain.wordbase.adverbs._true import _TRUE #calss header class _TRUEST(_TRUE, ): def __init__(self,): _TRUE.__init__(self) self.name = "TRUEST" self.specie = 'adverbs' self.basic = "true" self.jsondata = {}
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import graphene from ...account import error_codes as account_error_codes from ...app import error_codes as app_error_codes from ...checkout import error_codes as checkout_error_codes from ...core import JobStatus, error_codes as core_error_codes from ...core.permissions import get_permissions_enum_list from ...core.w...
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import Deck import Menu class UserInterface(): def __init__(self): pass def run(self): """Present the main menu to the user and repeatedly prompt for a valid command""" print("Welcome to the Bingo! Deck Generator\n") menu = Menu.Menu("Main") menu.addOption("C", "Create a new deck") keepGoing = True ...
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import math def collatz(n: int) -> int: if n % 2 == 0: return n // 2 return 3 * n + 1 class collatz_info: def __init__(self, root: int): assert (root != 0) self.collatz_trajectory = [] self.oddinity_trajectory = [] self.evenity_trajectory = [] self.limit_r...
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from django.conf.urls import url from django.contrib.staticfiles.urls import staticfiles_urlpatterns from . import views from django.contrib.auth import views as auth_views from .forms import LoginForm urlpatterns = [ url(r'^$', views.index, name='index'), url(r'^request/$', views.create, name='create'), ...
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# UART HID library by BeBoX (c) 2021 # ---------------------------------- # # Keyboard COMMANDS over UART # PRESS:keycode : press key ex. PRESS:0x2c # RLEAS:keycode : release key ex. RLEAS:0x2c # TYPEK:keycode : press ans release key ex. TYPEK:0x2c # WRITE:String : type a string ...
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from module_exe import data import module_exe from module_exe import MyClass c1 = MyClass() c1.func02() c1.func03() print(data) module_exe.func01()
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from os import listdir from os.path import isfile, join mypath = 'img/' onlyfiles = [f for f in sorted(listdir(mypath)) if isfile(join(mypath, f))] totalString = 'var imgArray = [\n' for index, filename in enumerate(onlyfiles): # create JSON structure obj = "{\n\tpath: '" + mypath + filename +"',\n\tloaded: ...
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__author__ = 'nikita_kartashov' from generic_annotation import GenericAnnotation class GlimmerAnnotation(GenericAnnotation): def __init__(self, line): super(GlimmerAnnotation, self).__init__() self.__parse_annotation(line.split()) self._length = self.end() - self.start() def __parse_...
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from django.shortcuts import render, get_object_or_404, redirect, reverse, HttpResponseRedirect from .models import Ad from .forms import NewAdForm from django.contrib.auth.decorators import login_required def all_ads(request): ads = Ad.objects.all() return render(request, "ads/ads.html", {"ads": ads}) def ...
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from tkinter import * import parser root = Tk() root.title = ('Calculadora') display = Entry(root) display.grid(row=1, columnspan=8, sticky=W+E) i=0 def get_numbers(n): global i display.insert(i, n) i+=1 def get_operation(operator): global i operator_length= len(operator) ...
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import os import torch import torch.nn as nn import engine from dataset import BengaliDatasetTrain import config from model_dispatcher import MODEL_DISPATCHER from torch.utils.data import DataLoader device = torch.device("cuda" if torch.cuda.is_available() else "cpu") def run(): model = MODEL_DISPATCHER[config.B...
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from functools import cmp_to_key from Learn.DataStructure.UnionFindSet.template import UnionFindSet def kruskal(graph: dict): tree, n = [], len(graph.get("nodes")) ufs = UnionFindSet(n + 1) graph.get("edges").sort(key=cmp_to_key(lambda a, b: a[2] - b[2])) for start, end, weight in graph.get("edges"): ...
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# Generated by Django 2.0.1 on 2018-02-01 06:33 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('mod', '0005_auto_20180201_1418'), ] operations = [ migrations.CreateModel( name='Author', ...
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import logging import requests from celery.app import app_or_default from django.conf import settings from requests import RequestException from simple_parser.core.contrib import parsing from .models import Bookmark, EmbeddedMetadata app = app_or_default() @app.task(name='simple_parser.bookmark.parse_bookmark_url...
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#!C:\Users\HP\PycharmProjects\UTS\venv\Scripts\python.exe # EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==40.8.0','console_scripts','easy_install-3.6' __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...
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""" WSGI config for travelly 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_SETT...
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# -*- coding: utf-8 -*- # Generated by Django 1.10 on 2016-09-15 11:43 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.Create...
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from freenect2 import Device, FrameType import numpy as np import open3d as o3d import cv2 def main(): device = Device() frames = {} with device.running(): for type_, frame in device: frames[type_] = frame if FrameType.Color in frames and FrameType.Depth in frames: ...
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import unittest class TestPossibleResults(unittest.TestCase): def test_success(self): pass def test_failure(self): self.assertEqual(True, False) def test_error(self): raise Exception
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