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hmm-data.py
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hmm-data.py
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import sys
from chorale import Chorale
import os
import pickle
def internal(arg):
return {
'PHRASE': 'column[0]',
'TAKT': 'column[1]',
'SOPRAN': 'column[2]',
'ALT': 'column[3]',
'TENOR': 'column[4]',
'BASS': 'column[5]',
'HARMONIK': 'column[6]',
'chordtransposed': 'column[9]'
}[arg]
def readentries(filename):
entries = []
f = open(filename, "r")
for chor in f:
entries.append("bch" + ('%03d' % int(chor.split("\n")[0])) + ".txt")
f.close()
return entries
choraledir = ""
modeldir = ""
inputdir = choraledir + "music/"
datasetdir = choraledir + "datasets/"
name = sys.argv[1]
if "/" in sys.argv[2]:
splits = sys.argv[2].split('/')
hidden = internal(splits[0]) + '/' + internal(splits[1])
else:
hidden = internal(sys.argv[1])
visible = internal(sys.argv[3])
train = sys.argv[4]
test = sys.argv[5]
unseenmarker = "(unknown)"
hiddensymbols = [unseenmarker]
hiddensymbolseen = {unseenmarker: 0}
visiblesymbols = [unseenmarker]
visiblesymbolseen = {unseenmarker: 0}
modeldir += "model-" + name + "/"
if not os.path.exists(modeldir):
os.mkdir(modeldir)
os.mkdir(modeldir + "input")
os.mkdir(modeldir + "viterbi")
os.mkdir(modeldir + "sampled")
# perl -I chorale-perl chorale-perl/hmm-data.pl chords-dur chordtransposed/HARMONIK SOPRAN train_dur test_dur
# carica due array con i nomi dei file
trainfiles = readentries(datasetdir + train)
testfiles = readentries(datasetdir + test)
dictionary = {}
def processfile(file):
print("Processing " + file)
[headers, lines] = choraleManager.readchorale("music/" + file)
linesB = choraleManager.beatrows(lines)
linesB.append(choraleManager.AFTER)
outputfile = open(modeldir + "input/" + file, "w+")
for line in linesB:
column = line
if "/" in hidden:
hiddensymbol = eval(hidden.split("/")[0]) + "/" + eval(hidden.split("/")[1])
else:
hiddensymbol = eval(hidden)
visiblesymbol = eval(visible)
try:
hiddensymbols.index(hiddensymbol)
except ValueError:
hiddensymbols.append(hiddensymbol)
try:
visiblesymbols.index(visiblesymbol)
except ValueError:
visiblesymbols.append(visiblesymbol)
key = str(hiddensymbols.index(hiddensymbol)) + " " + str(visiblesymbols.index(visiblesymbol))
dictionary[key] = " ".join([column[2], column[3], column[4], column[5], column[9]])
outputfile.write(str(hiddensymbols.index(hiddensymbol)) + "\t" +
str(visiblesymbols.index(visiblesymbol)) + "\n")
outputfile.close()
if __name__ == '__main__':
choraleManager = Chorale()
for file in trainfiles:
processfile(file)
for file in testfiles:
processfile(file)
f = open(modeldir + "SYMBOLS_HIDDEN", "w+")
f.write("\n".join(hiddensymbols))
f.close()
f = open(modeldir + "SYMBOLS_VISIBLE", "w+")
f.write("\n".join(visiblesymbols))
f.close()
f = open(modeldir + "PARAMETERS", "w+")
f.write("Name: " + name + "\n")
f.write("Hidden: " + sys.argv[2] + "\n")
f.write("Visible: " + sys.argv[3] + "\n\n")
f.write("Hidden states: " + str(len(hiddensymbols)) + "\n")
f.write("Visible states: " + str(len(visiblesymbols)) + "\n")
f.write("Training data: " + train + "\n")
f.write("Test data: " + test + "\n")
f.close()
with open(modeldir + 'DICTIONARY.pkl', 'wb+') as f:
pickle.dump(dictionary, f, pickle.HIGHEST_PROTOCOL)