I hereby claim:
- I am baali on github.
- I am baali (https://keybase.io/baali) on keybase.
- I have a public key whose fingerprint is F891 136A 3FFB 0C7A B11E CDB5 5DB9 B0A6 8529 E773
To claim this, I am signing this object:
| -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> |
| 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 |
| 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', |
| from sklearn.feature_extraction.text import TfidfVectorizer | |
| from sklearn.metrics.pairwise import linear_kernel | |
| import numpy as np | |
| from itertools import combinations | |
| from random import shuffle | |
| def majorclust_sklearn(): | |
| texts = [ | |
| "foo blub baz", | |
| "foo bar baz", |
| import sys | |
| import audioop | |
| try: | |
| import pyaudio | |
| except ImportError: | |
| sys.exit('You need to install pyaudio to installed to run this demo.') | |
| SAMPLING_RATE = 22050 | |
| NUM_SAMPLES = 1024 | |
| line = None |
I hereby claim:
To claim this, I am signing this object:
| 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) |
| # based on http://mikepultz.com/2011/03/accessing-google-speech-api-chrome-11/ | |
| # needs pyaudio package http://people.csail.mit.edu/hubert/pyaudio/ | |
| # Linux based, sox commands to convert from way to flac format. | |
| import pyaudio | |
| import wave | |
| import subprocess, shlex | |
| CHUNK = 1024 | |
| FORMAT = pyaudio.paInt16 |