u.go maowug

## cli-test.coffee
#  # index.js
# var hello = require('./hello.coffee')
# console.log(hello());


assert = require 'power-assert'
exec = require('child_process').exec

cmd = 'node index.js'

## testLocalStream.html
<!doctype html>
<html>
 <head>
  <title>Self Camera</title>
 </head>
 <body>
   <video id="myVideo" width="400" height="300" autoplay="1" ></video>

   <script type="text/javascript">
    navigator.getUserMedia = navigator.getUserMedia || navigator.webkitGetUserMedia || window.navigator.mozGetUserMedia;

## gist:b08d7554448794f309dc
//練習問題:最初と最後の文字が同じアルファベットであるランダムな5文字の文字列を1000回出力。

new scala.util.Random(
  new java.security.SecureRandom()
).alphanumeric
  .grouped(5)
  .withFilter { g5 => g5.head==g5.last && g5.head.toString >= "A" }
  .take(10)
  .foreach { vg5 => println(vg5.mkString) }

## gist:c3e66463f68e19a94ddb
public final class CASEPerson$ extends scala.runtime.AbstractFunction1<java.lang.String, CASEPerson> implements scala.Serializable {
  public static final CASEPerson$ MODULE$;
  public static {};
  public final java.lang.String toString();
  public CASEPerson apply(java.lang.String);
  public scala.Option<java.lang.String> unapply(CASEPerson);
  public java.lang.Object apply(java.lang.Object);
}

## gist:ca12155e3289e6a904f0
public class CASEPerson implements scala.Product,scala.Serializable {
  public static scala.Option<java.lang.String> unapply(CASEPerson);
  public static <A> scala.Function1<java.lang.String, A> andThen(scala.Function1<CASEPerson, A>);
  public static <A> scala.Function1<A, CASEPerson> compose(scala.Function1<A, java.lang.String>);
  public java.lang.String name();
  public CASEPerson apply(java.lang.String);
  public CASEPerson apply();
  public CASEPerson copy(java.lang.String);
  public java.lang.String copy$default$1();
  public java.lang.String productPrefix();

## gist:9417fb5fe13e371448dc
function isInt(n) {
    return n % 1 === 0;
}

var i, j;
var count = 0;

var uniq_d = {}

for (i = 1000; i >= 3; i--) {

## _dataCleanning.py
#!/usr/bin/env python
#encoding: utf-8
#__author__ = 'actor2019'

import csv
import cStringIO
import itertools

# with open('test.csv', 'rb') as csvfile:
#     spamreader = csv.reader(csvfile, delimiter=',', quotechar='|')

## jp_9_removes_step1.py

# possible duplicate form entries
# 	step2: if have multiple matches, continue ========== well-done 11k->7k

from ngram import NGram
for e in iter(jp.find({'pt':0})):
    e_keys=e.get('forms',{}).keys()


    if e.get('senses_ja') or e.get('senses'):

## jp_9_removes_todo.py

# # todo: remove entries marked with 'unknownFromNgram1' but `jp` have other entries matching their titles
for e in iter(jp.find({'pt': "unknownFromNgram1"})):
    res= list(jp.find({'title':e['title']}))
    if len(res)>1:
        print e['title'],e['_id']
        if e.get('forms') or e.get('senses') or e.get('senses_ja'):
            print u'mnf'
        jp.remove(
            {'_id':e['_id']}

## survey.py
#!/usr/bin/env python
#encoding: utf-8

from _dataCleanning import plCleaning
from _utilities import calCriteriaFromDC


def ruleGeneration(argWrapper, orDescriptors=None, dec=0):
    if not orDescriptors: orDescriptors = []
    dataWrapper=argWrapper
	# # index.js
	# var hello = require('./hello.coffee')
	# console.log(hello());


	assert = require 'power-assert'
	exec = require('child_process').exec

	cmd = 'node index.js'
	<!doctype html>
	<html>
	<head>
	<title>Self Camera</title>
	</head>
	<body>
	<video id="myVideo" width="400" height="300" autoplay="1" ></video>

	<script type="text/javascript">
	navigator.getUserMedia = navigator.getUserMedia \|\| navigator.webkitGetUserMedia \|\| window.navigator.mozGetUserMedia;
	//練習問題:最初と最後の文字が同じアルファベットであるランダムな5文字の文字列を1000回出力。

	new scala.util.Random(
	new java.security.SecureRandom()
	).alphanumeric
	.grouped(5)
	.withFilter { g5 => g5.head==g5.last && g5.head.toString >= "A" }
	.take(10)
	.foreach { vg5 => println(vg5.mkString) }
	public final class CASEPerson$ extends scala.runtime.AbstractFunction1<java.lang.String, CASEPerson> implements scala.Serializable {
	public static final CASEPerson$ MODULE$;
	public static {};
	public final java.lang.String toString();
	public CASEPerson apply(java.lang.String);
	public scala.Option<java.lang.String> unapply(CASEPerson);
	public java.lang.Object apply(java.lang.Object);
	}
	public class CASEPerson implements scala.Product,scala.Serializable {
	public static scala.Option<java.lang.String> unapply(CASEPerson);
	public static <A> scala.Function1<java.lang.String, A> andThen(scala.Function1<CASEPerson, A>);
	public static <A> scala.Function1<A, CASEPerson> compose(scala.Function1<A, java.lang.String>);
	public java.lang.String name();
	public CASEPerson apply(java.lang.String);
	public CASEPerson apply();
	public CASEPerson copy(java.lang.String);
	public java.lang.String copy$default$1();
	public java.lang.String productPrefix();
	function isInt(n) {
	return n % 1 === 0;
	}

	var i, j;
	var count = 0;

	var uniq_d = {}

	for (i = 1000; i >= 3; i--) {
	#!/usr/bin/env python
	#encoding: utf-8
	#__author__ = 'actor2019'

	import csv
	import cStringIO
	import itertools

	# with open('test.csv', 'rb') as csvfile:
	# spamreader = csv.reader(csvfile, delimiter=',', quotechar='\|')

	# possible duplicate form entries
	# step2: if have multiple matches, continue ========== well-done 11k->7k

	from ngram import NGram
	for e in iter(jp.find({'pt':0})):
	e_keys=e.get('forms',{}).keys()


	if e.get('senses_ja') or e.get('senses'):

	# # todo: remove entries marked with 'unknownFromNgram1' but `jp` have other entries matching their titles
	for e in iter(jp.find({'pt': "unknownFromNgram1"})):
	res= list(jp.find({'title':e['title']}))
	if len(res)>1:
	print e['title'],e['_id']
	if e.get('forms') or e.get('senses') or e.get('senses_ja'):
	print u'mnf'
	jp.remove(
	{'_id':e['_id']}
	#!/usr/bin/env python
	#encoding: utf-8

	from _dataCleanning import plCleaning
	from _utilities import calCriteriaFromDC


	def ruleGeneration(argWrapper, orDescriptors=None, dec=0):
	if not orDescriptors: orDescriptors = []
	dataWrapper=argWrapper