def table_to_track(dir, track_no ,bpm, nuty):
f = open('./' + dir + '/track' + track_no + '.txt', 'r')
data = f.readlines()
# zapisujemy wczesniej sample, zeby potem sie tylko odwolywac bez ponownego wczytywania
content = np.unique([x.split() for x in data])
lengs = np.array([len(x) for x in content])
sample_no = content[np.where(lengs==2)[0]]
instr_no = content[np.where(lengs==9)[0]]
dict_sample={}
for i in sample_no:
if(i=='--'):
continue
fs,sample = scipy.io.wavfile.read(dir + '/sample' + i + ".wav")
dict_sample[i] = sample/np.amax(abs(sample))
for i in instr_no:
if(i!='---------'):
file = open("./" + dir + "/sample" + i[:2] + ".txt")
kod = file.read()
file.close()
code = compile("f=" + str(nuty[i[3:6]]) + "\n" + "T=" + str(int(i[7:])) + "*(60/bpm)/4\n" + kod, '<string>', 'exec')
eval(code)
dict_sample[i] = dzw
t=0
output = np.zeros((1,2))
for lines in data:
linia = lines.split()
for i in range(0,len(linia)):
if (linia[i]!="--" and linia[i]!="---------"):
output = dodaj.dodaj_dzwiek(output, dict_sample[linia[i]], t)
t+= (60/bpm) /4 # szesnastki
end = np.shape(data)[0]* (60/bpm)/4
return((output,end))
def table_to_track(dir, track_no, bpm, nuty):
f = open('./' + dir + '/track' + track_no + '.txt', 'r')
data = f.readlines()
# zapisujemy wczesniej sample, zeby potem sie tylko odwolywac bez ponownego wczytywania
content = np.unique([x.split() for x in data])
lengs = np.array([len(x) for x in content])
sample_no = content[np.where(lengs == 2)[0]]
instr_no = content[np.where(lengs == 9)[0]]
dict_sample = {}
for i in sample_no:
if (i == '--'):
continue
fs, sample = scipy.io.wavfile.read(dir + '/sample' + i + ".wav")
dict_sample[i] = sample / np.amax(abs(sample))
for i in instr_no:
if (i != '---------'):
file = open("./" + dir + "/sample" + i[:2] + ".txt")
kod = file.read()
file.close()
code = compile(
"f=" + str(nuty[i[3:6]]) + "\n" + "T=" + str(int(i[7:])) +
"*(60/bpm)/4\n" + kod, '<string>', 'exec')
eval(code)
dict_sample[i] = dzw
t = 0
output = np.zeros((1, 2))
for lines in data:
linia = lines.split()
for i in range(0, len(linia)):
if (linia[i] != "--" and linia[i] != "---------"):
output = dodaj.dodaj_dzwiek(output, dict_sample[linia[i]], t)
t += (60 / bpm) / 4 # szesnastki
end = np.shape(data)[0] * (60 / bpm) / 4
return ((output, end))
def make_song(dir, bpm):
f_nuty = open("slownik-nuty.txt")
nuty = eval(f_nuty.read())
f_nuty.close()
f = open('./' + dir + '/song.txt', 'r')
data = f.readlines()
output = np.zeros((1,2))
end=0
for line in data:
track,end_nowy = table_to_track(dir, line.split()[0], bpm, nuty)
output = dodaj.dodaj_dzwiek(output, track, end)
end += end_nowy
scipy.io.wavfile.write(dir +'.wav', 44100, np.int16(output/np.amax(abs(output))*32767))
print("Pomyslnie utworzono plik " + dir +".wav")
def make_song(dir, bpm):
f_nuty = open("slownik-nuty.txt")
nuty = eval(f_nuty.read())
f_nuty.close()
f = open('./' + dir + '/song.txt', 'r')
data = f.readlines()
output = np.zeros((1, 2))
end = 0
for line in data:
track, end_nowy = table_to_track(dir, line.split()[0], bpm, nuty)
output = dodaj.dodaj_dzwiek(output, track, end)
end += end_nowy
scipy.io.wavfile.write(dir + '.wav', 44100,
np.int16(output / np.amax(abs(output)) * 32767))
print("Pomyslnie utworzono plik " + dir + ".wav")
def table_to_track(dir, track_no ,bpm, nuty):
"""
Funkcja zwraca macierz reprezentujaca dzwiek stereo stworzony na podstawie danego pliku trackXX.txt.
Argumenty wejsciowe:
dir - string reprezentujacy folder w ktorym operujemy.
track_no - string zawierajacy numer tracka, ktory chcemy analizowac.
bpm - liczba reprezentujaca bpm danej piosenki
nuty - slownik z definicjami nut
"""
f = open(dir + '/track' + track_no + '.txt', 'r')
data = f.readlines()
# zapisujemy wczesniej sample, zeby potem sie tylko odwolywac bez ponownego wczytywania
content = np.unique([x.split() for x in data])
lengs = np.array([len(x) for x in content])
sample_no = content[np.where(lengs==2)[0]]
instr_no = content[np.where(lengs==9)[0]]
dict_sample={}
for i in sample_no:
if(i=='--'):
continue
fs,sample = scipy.io.wavfile.read(dir + '/sample' + i + ".wav")
dict_sample[i] = sample/np.amax(abs(sample))
for i in instr_no:
if(i!='---------'):
file = open(dir + "/sample" + i[:2] + ".txt")
defs = eval(file.read())
file.close()
f=nuty[i[3:6]]
T=int(i[7:])*(60/bpm)/4
dzw = dzwiek.custom_sound(defs['type'], defs['attack'], defs['decay'], defs['cutoff'], defs['coef'], T, f)
dict_sample[i] = dzw
t=0
output = np.zeros((1,2))
for lines in data:
linia = lines.split()
for i in range(0,len(linia)):
if (linia[i]!="--" and linia[i]!="---------"):
output = dodaj.dodaj_dzwiek(output, dict_sample[linia[i]], t)
t+= (60/bpm) /4 # szesnastki
end = np.shape(data)[0]* (60/bpm)/4
return((output,end))
def make_song(dir, bpm,name):
"""
Funkcja tworzy piosenke na podstawie plikow znajdujacych sie w katalogu dir.
Argumenty wejsciowe:
dir - string reprezentujacy folder w ktorym operujemy.
bpm - liczba reprezentujaca bpm danej piosenki
name - nazwa piosenki
"""
f = open(dir + '/song.txt', 'r')
data = f.readlines()
output = np.zeros((1,2))
end=0
f = open("slownik-nuty.txt")
nuty = eval(f.read())
f.close()
for line in data:
track,end_nowy = table_to_track(dir, line.split()[0], bpm, nuty)
output = dodaj.dodaj_dzwiek(output, track, end)
end += end_nowy
scipy.io.wavfile.write("./"+ name +'.wav', 44100, np.int16(output/np.amax(abs(output))*32767))
print("Pomyslnie utworzono plik " + name +".wav")
