Ryosuke Kamesawa emakryo

## saveAsCSV.py
#!/usr/bin/env pythonw

import os
import sys
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from PyQt5.QtWidgets import QApplication, QWidget, QFileDialog


## plot.ipynb

      
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                emakryo
                / plot.ipynb
            
            
              Created
              December 26, 2016 04:48
            
          
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## result.ipynb

      
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                emakryo
                / result.ipynb
            
            
              Created
              November 20, 2016 07:58
            
          
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## local.jupyter.notebook.plist
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
	<dict>
		<key>KeepAlive</key>
		<true/>
		<key>Label</key>
		<string>local.jupyter.notebook</string>
		<key>ProgramArguments</key>
		<array>

## index.js
var express = require('express');
var router = express.Router();
var fs = require('fs');
var pdfjs = require("pdfjs-dist")

var filepath = "/home/user/scalable-inference-for-gaussian-process-models-with-black-box-likelihoods.pdf";
var data = new Uint8Array(fs.readFileSync(filepath));

var extract_title = data => pdfjs.getDocument(data).then(doc =>
  doc.getMetadata().then(meta => meta.info.Title));

## noftification.py
from requests_oauthlib import OAuth1Session
from time import time

class Notification:
    """
Notification class to specific user in twitter
    """

    log_file = "notify.log"

## GLSLtest.html
<!DOCTYPE html>
<html>
  <head>
    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
    <title>GLSL test</title>
    <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.11.3/jquery.min.js">
    </script>
    <script type="text/javascript">
     var gl;
     var canvas;

## rand_users.py
# coding=utf-8
import sys
from requests_oauthlib import OAuth1Session
from time import sleep
from random import randint, seed
from json import loads

oauth_key = {
    "consumer_key" : "xxxxxxxxxxxxxxxxxxxxxxxxx",
    "consumer_secret" : "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
	#!/usr/bin/env pythonw

	import os
	import sys
	import numpy as np
	import pandas as pd
	import matplotlib.pyplot as plt
	from PyQt5.QtWidgets import QApplication, QWidget, QFileDialog
	<?xml version="1.0" encoding="UTF-8"?>
	<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
	<plist version="1.0">
	<dict>
	<key>KeepAlive</key>
	<true/>
	<key>Label</key>
	<string>local.jupyter.notebook</string>
	<key>ProgramArguments</key>
	<array>
	var express = require('express');
	var router = express.Router();
	var fs = require('fs');
	var pdfjs = require("pdfjs-dist")

	var filepath = "/home/user/scalable-inference-for-gaussian-process-models-with-black-box-likelihoods.pdf";
	var data = new Uint8Array(fs.readFileSync(filepath));

	var extract_title = data => pdfjs.getDocument(data).then(doc =>
	doc.getMetadata().then(meta => meta.info.Title));
	from requests_oauthlib import OAuth1Session
	from time import time

	class Notification:
	"""
	Notification class to specific user in twitter
	"""

	log_file = "notify.log"
	<!DOCTYPE html>
	<html>
	<head>
	<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
	<title>GLSL test</title>
	<script src="http://ajax.googleapis.com/ajax/libs/jquery/1.11.3/jquery.min.js">
	</script>
	<script type="text/javascript">
	var gl;
	var canvas;
	# coding=utf-8
	import sys
	from requests_oauthlib import OAuth1Session
	from time import sleep
	from random import randint, seed
	from json import loads

	oauth_key = {
	"consumer_key" : "xxxxxxxxxxxxxxxxxxxxxxxxx",
	"consumer_secret" : "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",