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  | <!DOCTYPE html> | |
| <html> | |
| <body> | |
| <style type="text/css"> | |
| body { | |
| border: 1; | |
| background-color: gray; | |
| } | 
  
    
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  | var utils; | |
| (function (utils) { | |
| /** | |
| * 画像からピクセルカラー値を取得するユーティリティクラスです。 | |
| * @auther Kentaro Kawakatsu | |
| */ | |
| var ImageColorPicker = (function () { | |
| function ImageColorPicker() { | |
| } | |
| ImageColorPicker.init = function ($canvas) { | 
  
    
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  | <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8" /> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/three.js/89/three.min.js"></script> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/stats.js/r16/Stats.min.js"></script> | |
| <script src="js/controls/OrbitControls.js"></script> | |
| <script src="js/loaders/TDSLoader.js"></script> | 
  
    
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  | CPU: 2 cores is the recommended number of cores and supports up to 500 users | |
| Memory: 8GB RAM is the recommended memory size for all installations and supports up to 100 users | 
  
    
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  | <?php | |
| declare(strict_types=1); // 型チェック | |
| /** | |
| * 残高を格納するクラス | |
| */ | |
| class Balance | |
| { | 
  
    
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  | <!DOCTYPE HTML> | |
| <html> | |
| <head> | |
| <script> | |
| window.onload = function (){ | |
| } | 
  
    
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  | <?php | |
| /* | |
| (使い方) | |
| php download_csv_php.php | |
| */ | |
| // $r = file_get_contents("assets.json"); | |
| $res = file_get_contents("https://api.cryptowat.ch/assets/btc"); | 
  
    
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  | def s3_upload(file_name:str): | |
| import boto3 | |
| print("s3 ", file_name) | |
| s3_client = boto3.client('s3') | |
| bucket_name = 'nohara-dnn-workspace' | |
| s3_client.upload_file(file_name, bucket_name, "dataset/"+Path(file_name).name) | 
  
    
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  | from __future__ import print_function | |
| import keras | |
| from keras.datasets import cifar10 | |
| from keras.preprocessing.image import ImageDataGenerator | |
| from keras.models import Sequential | |
| from keras.layers import Dense, Dropout, Activation, Flatten | |
| from keras.layers import Conv2D, MaxPooling2D | |
| batch_size = 32 | 
  
    
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  | import numpy as np | |
| import pyqtgraph as pg | |
| import pyaudio | |
| from PyQt4 import QtCore, QtGui | |
| FS = 44100 #Hz | |
| CHUNKSZ = 1024 #samples | |
| class MicrophoneRecorder(): | |
| def __init__(self, signal): |