def averageAcc(OSCaddress, OSCparams):
global jerkData, orientation, lastJerk
jerk = sum([abs(x) for x in OSCparams])
# ~ print("jerk", jerk)
if jerk > jerkThreeshold :
if jerkData is None : jerkData = []
jerkData.append(jerk)
else :
if jerkData and (datetime.now() - lastJerk).total_seconds()>debounce :
jerk = max(jerkData)
# ~ print("max ACC :", jerk)
jerk = (jerk-jerkThreeshold)/(maxJerk-jerkThreeshold) # map to 0~1
corpusMix = getCorpusPercentages(jerk)
markov.changeParameter({"potA":corpusMix[0]})
markov.changeParameter({"potB":corpusMix[1]})
markov.changeParameter({"potC":corpusMix[2]})
corpusMix = [int(c*100) for c in corpusMix]
print("swing detected : %.02f -> low %i, mid %i, high %i" % (jerk*100,corpusMix[0], corpusMix[1], corpusMix[2] ))
# ~ print("X:",OSCparams[0], " Y:", OSCparams[1], "Z:", OSCparams[2],"\n")
# ~ markov.changeParameter({"start":True})
markov.generateText()
jerkData = None
lastJerk = datetime.now()
else : return
def generate_post_body(sub='relationships', order=15, length=500):
''' generate a post body given a subreddit, sample length and title length'''
text = body_string(sub)
post = markov.generateText(text, order, length)
return post + '...'
def generate_post_title(sub='relationships', order=6, length =120):
''' generate a post title given a subreddit, sample length and title length'''
text = title_string(sub)
post = markov.generateText(text, order, length)
return post
audioFiles = glob.glob(audioFolder + "/*.wav")
audioFiles += glob.glob(audioFolder + "/*.WAV")
print("audio files availables :", audioFiles)
wasButtonPressed = leds.readButton()
shutdownTimer = None
randomWavTimer = datetime.now() + timedelta(seconds=randomInterval)
try:
while True:
if debug:
selectedFile = audioFiles[random.randint(
0,
len(audioFiles) - 1)]
audio.play(selectedFile)
print("playing random sample", selectedFile)
time.sleep(10)
markov.generateText(300)
time.sleep(20)
else:
isButtonPressed = leds.readButton()
if isButtonPressed:
if not wasButtonPressed: # the button is pressed for the first time
print("button is pushed")
shutdownTimer = datetime.now() + timedelta(
seconds=5
) #if maintained 5sec, it will shut the pi down
markov.generateText(300)
elif shutdownTimer and datetime.now() > shutdownTimer:
audio.isPlaying = False
markov.readTextToSpeech(random.choice(byeMessages))
time.sleep(5)
# exitCleanly(shutdown=True)
return bigram
# Function to get the 2nd order conditional data from trigram_counts data
def getTrigram(trigramFile):
trigram = []
with open(trigramFile, "r") as fp:
for i in list(fp):
tmp = i.split()
try:
trigram.append((int(tmp[0]), int(tmp[1]), int(tmp[2]),
pow(10, float(tmp[3]))))
except:
pass
return trigram
vocab = fileToWords(vocabFile)
# Get all words from vocab.txt file
unigram = getUnigram(unigramFile)
# Get unigram probabilities from unigram.txt file
bigram = getBigram(bigramFile)
# Get bigram conditional probabilities from bigram.txt file
trigram = getTrigram(trigramFile)
# Get trigram conditional probabilities from trigram.txt file
markov = markov.MarkovModel(vocab, unigram, bigram, trigram)
markov.generateText()
