baali baali

## speech2text.py
'''
A hack based on this http://mikepultz.com/2011/03/accessing-google-speech-api-chrome-11/. While with smaller voice samples google speech to text works really good, as length increases quality decreases. So here using audiolab and numPy we are breaking audio sample, in smaller chunks, and removing blank/empty spaces from audio signal and then pushing them to google for processing.
It takes wav file format as input but can be changed to other formats too.
'''

from scikits.audiolab import wavread, play, flacwrite
from numpy import average, array, hstack
import os
import sys

## manual_nltk_bayes_classify.py
from nltk.probability import ELEProbDist, FreqDist
from nltk import NaiveBayesClassifier
from collections import defaultdict

train_samples = {
    'I hate you and you are a bad person': 'neg',
    'I love you and you are a good person': 'pos',
    'I fail at everything and I want to kill people' : 'neg',
    'I win at everything and I want to love people' : 'pos',
    'sad are things are heppening. fml' : 'neg',

## permute_list.erl
-module('permute_list').
-export([permute/1, permute/2]).

permute(List) ->
    permute(List, length(List)).

permute(List, Length) ->
    Indices = [],
    Permuted_List = [],
    jumble(List, Permuted_List, Indices, Length).

## audio.html
<!DOCTYPE html>
<html manifest="cache.appcache">
  <head>Speech Recognition</head>
  <body>
    <input type="text" x-webkit-speech />
  </body>
</html>

## dlAttachments.py
# Something in lines of http://stackoverflow.com/questions/348630/how-can-i-download-all-emails-with-attachments-from-gmail
# Make sure you have IMAP enabled in your gmail settings.
# Right now it won't download same file name twice even if their contents are different.

import email
import getpass, imaplib
import os
import sys

detach_dir = '.'

## fileComparison.py
            if bool(fileName):
                flag = 1
                filePath = os.path.join(detach_dir, 'attachments', fileName)
                if not os.path.isfile(filePath) :
                    print fileName
                    fp = open(filePath, 'wb')
                    fp.write(part.get_payload(decode=True))
                    fp.close()
                else:
                    tmpPath = os.path.join(detach_dir, 'attachments', fileName+'tmp')

## dump_file.cpp
/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements. See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership. The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License. You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0

## convert.py
import vision_definitions
import numpy
import time
import Image

camProxy = ALProxy("ALVideoDevice", NAO_IP, PORT)
t0 = time.time()

# block to capture image from NAO's camera with 640x480 resolution and YUV422 colorspace
client = camProxy.subscribe("client", vision_definitions.kVGA, vision_definitions.kYUV422ColorSpace, 5)

## swear.py
def swear(self, mess, args):
 "swears randomley from a list of high level swear words"
 swears = ["neech","kameen","kuttey", "howley", "saaley", "monkey", " kaachina vennela to tea pettukune mohavu nuvvu nu ","thitlu adukkunne mohamu nuvvoonu ", " currentu teegaki uyyala eskune ooge mohavu nuvvu" ,  "donkey", "vudathalu patte mokam", "chapathi mokam", "washbasin lo chepalu patte mokam", "gaali vaanalo visnakarrlu ammukune mokam", "Chunchu mokam", "ghootley", "jaffa", "tussha", "daffa", "jumper mein bumper", "panther pagdi" ,"lapaki paapa" ]
 from random import choice
 self.message_queue.append(choice(swears)+ " " + choice(swears) + " " + choice(swears) + " "+ args)

## rot-n.py
# usage python rot-n.py encodedeMessage n
# python rot-n.py "Va gur ryringbef, gur rkgebireg ybbxf ng gur BGURE thl'f fubrf." 13

import sys
if __name__ == '__main__':
    encodedMsg = sys.argv[1]
    n = int(sys.argv[2])
    # lets make everything lower case
    encodedMsg = encodedMsg.lower()
    decodedMsg = ''
	'''
	A hack based on this http://mikepultz.com/2011/03/accessing-google-speech-api-chrome-11/. While with smaller voice samples google speech to text works really good, as length increases quality decreases. So here using audiolab and numPy we are breaking audio sample, in smaller chunks, and removing blank/empty spaces from audio signal and then pushing them to google for processing.
	It takes wav file format as input but can be changed to other formats too.
	'''

	from scikits.audiolab import wavread, play, flacwrite
	from numpy import average, array, hstack
	import os
	import sys
	from nltk.probability import ELEProbDist, FreqDist
	from nltk import NaiveBayesClassifier
	from collections import defaultdict

	train_samples = {
	'I hate you and you are a bad person': 'neg',
	'I love you and you are a good person': 'pos',
	'I fail at everything and I want to kill people' : 'neg',
	'I win at everything and I want to love people' : 'pos',
	'sad are things are heppening. fml' : 'neg',
	-module('permute_list').
	-export([permute/1, permute/2]).

	permute(List) ->
	permute(List, length(List)).

	permute(List, Length) ->
	Indices = [],
	Permuted_List = [],
	jumble(List, Permuted_List, Indices, Length).
	<!DOCTYPE html>
	<html manifest="cache.appcache">
	<head>Speech Recognition</head>
	<body>
	<input type="text" x-webkit-speech />
	</body>
	</html>
	# Something in lines of http://stackoverflow.com/questions/348630/how-can-i-download-all-emails-with-attachments-from-gmail
	# Make sure you have IMAP enabled in your gmail settings.
	# Right now it won't download same file name twice even if their contents are different.

	import email
	import getpass, imaplib
	import os
	import sys

	detach_dir = '.'
	if bool(fileName):
	flag = 1
	filePath = os.path.join(detach_dir, 'attachments', fileName)
	if not os.path.isfile(filePath) :
	print fileName
	fp = open(filePath, 'wb')
	fp.write(part.get_payload(decode=True))
	fp.close()
	else:
	tmpPath = os.path.join(detach_dir, 'attachments', fileName+'tmp')
	/*
	* Licensed to the Apache Software Foundation (ASF) under one
	* or more contributor license agreements. See the NOTICE file
	* distributed with this work for additional information
	* regarding copyright ownership. The ASF licenses this file
	* to you under the Apache License, Version 2.0 (the
	* "License"); you may not use this file except in compliance
	* with the License. You may obtain a copy of the License at
	*
	* http://www.apache.org/licenses/LICENSE-2.0
	import vision_definitions
	import numpy
	import time
	import Image

	camProxy = ALProxy("ALVideoDevice", NAO_IP, PORT)
	t0 = time.time()

	# block to capture image from NAO's camera with 640x480 resolution and YUV422 colorspace
	client = camProxy.subscribe("client", vision_definitions.kVGA, vision_definitions.kYUV422ColorSpace, 5)
	def swear(self, mess, args):
	"swears randomley from a list of high level swear words"
	swears = ["neech","kameen","kuttey", "howley", "saaley", "monkey", " kaachina vennela to tea pettukune mohavu nuvvu nu ","thitlu adukkunne mohamu nuvvoonu ", " currentu teegaki uyyala eskune ooge mohavu nuvvu" , "donkey", "vudathalu patte mokam", "chapathi mokam", "washbasin lo chepalu patte mokam", "gaali vaanalo visnakarrlu ammukune mokam", "Chunchu mokam", "ghootley", "jaffa", "tussha", "daffa", "jumper mein bumper", "panther pagdi" ,"lapaki paapa" ]
	from random import choice
	self.message_queue.append(choice(swears)+ " " + choice(swears) + " " + choice(swears) + " "+ args)
	# usage python rot-n.py encodedeMessage n
	# python rot-n.py "Va gur ryringbef, gur rkgebireg ybbxf ng gur BGURE thl'f fubrf." 13

	import sys
	if __name__ == '__main__':
	encodedMsg = sys.argv[1]
	n = int(sys.argv[2])
	# lets make everything lower case
	encodedMsg = encodedMsg.lower()
	decodedMsg = ''