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#その３
#fastai/fastai/vision/data.py
'''
data = ImageDataBunch.from_csv(path, ds_tfms=tfms, size=128)
print(data)
'''

'''
@classmethod
    def from_csv(cls, path:PathOrStr, folder:PathOrStr=None, label_delim:str=None, csv_labels:PathOrStr='labels.csv',

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// pull down jquery into the JavaScript console
var script = document.createElement('script');
script.src = "https://ajax.googleapis.com/ajax/libs/jquery/2.2.0/jquery.min.js";
document.getElementsByTagName('head')[0].appendChild(script);
var urls = $('.rg_di .rg_meta').map(function() { return JSON.parse($(this).text()).ou; });
var textToSave = urls.toArray().join('\n');
var hiddenElement = document.createElement('a');
hiddenElement.href = 'data:attachment/text,' + encodeURI(textToSave);
hiddenElement.target = '_blank';
hiddenElement.download = 'urls.txt';

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!apt-get -q install graphviz
!pip install -q pydot-ng
!pip install -q graphviz
!pip install -q pydot3

import pydot_ng as pydot

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import matplotlib.pyplot as plt

acc      = history.history['acc']
val_acc  = history.history['val_acc']
loss     = history.history['loss']
val_loss = history.history['val_loss']

epochs = range(len(acc))

fig = plt.figure(figsize=(10, 5))

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# -*- coding: utf-8 -*-

# TensowFlowのインポート
import tensorflow as tf
# MNISTを読み込むためinput_data.pyを同じディレクトリに置きインポートする
# input_data.pyはチュートリアル内にリンクがあるのでそこから取得する
# https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/examples/tutorials/mnist/input_data.py
import input_data

import time

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# Install fastai
!pip3 install fastai

#Install pytorch
!pip3 install http://download.pytorch.org/whl/cu92/torch-0.4.1-cp36-cp36m-linux_x86_64.whl
!pip3 install torchvision

from fastai.imports import *

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       protected override void OnPaint(PaintEventArgs e)
        {
            base.OnPaint(e);
            Point[] pts = {
			    new Point(100, 200), new Point(140, 100),
                new Point(160, 100), new Point(200, 200),
                new Point(120, 150), new Point(180, 150)
    		};

            Pen pen = new Pen(Color.Black);

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	if (true) {
		String dump = "Code[" + Integer.toHexString(code) + "]=";
		for (int i = 0; i < 16; i++) {
			dump += Integer.toHexString(Array[i]);
			dump += ",";
			if ((i % 16 == 0) && (i != 0)) {
				dump += "%n";
			}
		}
		Log.d(TAG, dump);