def get_nb_notes(last_bar):
velocity = get_pattern_velocity(last_bar)
if velocity == 1 :
return [len(last_bar), 1]
elif velocity == 2:
return [4, 2]
else :
return [6, 3]
def generate_chorus(progression_list, pattern_index, mode, key):
pattern = patterns.PATTERNS[pattern_index]
velocity_pattern = get_pattern_velocity(pattern)
phrase_list = []
list_phrases_4 = choose_chord_4_phrase(mode)
list_phrases_5 = choose_chord_5_phrase(mode)
if velocity_pattern == 3:
for phrase in list_phrases_4 :
if velocity_phrase == 3:
list_phrases_4.remove(phrase)
for phrase in list_phrases_5 :
if velocity_phrase == 3:
list_phrases_5.remove(phrase)
phrase_4_index = random.randint(0, len(list_phrases_4)-1)
phrase_4 = list_phrases_4[phrase_4_index]
phrase_4_chosen = [4, phrase_4]
phrase_list.append(phrase_4_chosen)
velocity_phrase_4 = velocity_phrase(phrase_4)
for phrase_5 in list_phrases_5 :
if abs(velocity_phrase(phrase_5)-velocity_phrase_4)>1 :
list_phrases_5.remove(phrase_5)
compatibility = []
for phrase_5 in list_phrases_5 :
phrase_5_to_test = [5, phrase_5]
compatibility.append(calcul_compatibility(phrase_4_chosen, phrase_5_to_test, key, mode))
list_best_phrase_5 = get_best_options(compatibility)
index_phrase_5 = random.randint(0, len(list_best_phrase_5)-1)
phrase_5 = list_phrases_5[index_phrase_5]
phrase_5_chosen = [5, phrase_5]
phrase_list.append(phrase_5_chosen)
notes_4=[]
chorus = generate_chorus_bars(phrase_list, progression_list, 1, pattern_index, mode, key)
last_notes = chorus[4]
return (chorus, phrase_4_chosen, phrase_5_chosen, last_notes)
def choose_first_phrases(nb_bars, key, mode, first_chorus_phrase, last_chorus_phrase, pattern_index):
list_phrases_1 = choose_chord_1_phrase(mode)
final_list = []
pattern = patterns.PATTERNS[pattern_index]
velocity_pattern = get_pattern_velocity(pattern)
if velocity_pattern == 3:
for phrase in list_phrases_1 :
if velocity_phrase == 3:
list_phrases_1.remove(phrase)
phrase_first = choose_best_phrase(list_phrases_1, first_chorus_phrase, key, mode)
final_list.append(phrase_first)
for i in range(0, nb_bars-2):
list_best_options = choose_between_phrase(list_phrases_1, first_chorus_phrase, last_chorus_phrase, key, mode, nb_bars)
phrase_index = random.randint(0, len(list_best_options)-1)
final_list.append([1, list_best_options[phrase_index]])
phrase_last = choose_best_phrase(list_phrases_1, last_chorus_phrase, key, mode)
final_list.append(phrase_last)
return final_list
