diff --git "a/TMIDIX.py" "b/TMIDIX.py" new file mode 100644--- /dev/null +++ "b/TMIDIX.py" @@ -0,0 +1,9263 @@ +#! /usr/bin/python3 + + +r'''############################################################################### +################################################################################### +# +# +# Tegridy MIDI X Module (TMIDI X / tee-midi eks) +# Version 1.0 +# +# NOTE: TMIDI X Module starts after the partial MIDI.py module @ line 1342 +# +# Based upon MIDI.py module v.6.7. by Peter Billam / pjb.com.au +# +# Project Los Angeles +# +# Tegridy Code 2021 +# +# https://github.com/Tegridy-Code/Project-Los-Angeles +# +# +################################################################################### +################################################################################### +# Copyright 2021 Project Los Angeles / Tegridy Code +# +# Licensed 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 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +################################################################################### +################################################################################### +# +# PARTIAL MIDI.py Module v.6.7. by Peter Billam +# Please see TMIDI 2.3/tegridy-tools repo for full MIDI.py module code +# +# Or you can always download the latest full version from: +# +# https://pjb.com.au/ +# https://peterbillam.gitlab.io/miditools/ +# +# Copyright 2020 Peter Billam +# +################################################################################### +###################################################################################''' + +import sys, struct, copy +Version = '6.7' +VersionDate = '20201120' + +_previous_warning = '' # 5.4 +_previous_times = 0 # 5.4 +_no_warning = False + +#------------------------------- Encoding stuff -------------------------- + +def opus2midi(opus=[], text_encoding='ISO-8859-1'): + r'''The argument is a list: the first item in the list is the "ticks" +parameter, the others are the tracks. Each track is a list +of midi-events, and each event is itself a list; see above. +opus2midi() returns a bytestring of the MIDI, which can then be +written either to a file opened in binary mode (mode='wb'), +or to stdout by means of: sys.stdout.buffer.write() + +my_opus = [ + 96, + [ # track 0: + ['patch_change', 0, 1, 8], # and these are the events... + ['note_on', 5, 1, 25, 96], + ['note_off', 96, 1, 25, 0], + ['note_on', 0, 1, 29, 96], + ['note_off', 96, 1, 29, 0], + ], # end of track 0 +] +my_midi = opus2midi(my_opus) +sys.stdout.buffer.write(my_midi) +''' + if len(opus) < 2: + opus=[1000, [],] + tracks = copy.deepcopy(opus) + ticks = int(tracks.pop(0)) + ntracks = len(tracks) + if ntracks == 1: + format = 0 + else: + format = 1 + + my_midi = b"MThd\x00\x00\x00\x06"+struct.pack('>HHH',format,ntracks,ticks) + for track in tracks: + events = _encode(track, text_encoding=text_encoding) + my_midi += b'MTrk' + struct.pack('>I',len(events)) + events + _clean_up_warnings() + return my_midi + + +def score2opus(score=None, text_encoding='ISO-8859-1'): + r''' +The argument is a list: the first item in the list is the "ticks" +parameter, the others are the tracks. Each track is a list +of score-events, and each event is itself a list. A score-event +is similar to an opus-event (see above), except that in a score: + 1) the times are expressed as an absolute number of ticks + from the track's start time + 2) the pairs of 'note_on' and 'note_off' events in an "opus" + are abstracted into a single 'note' event in a "score": + ['note', start_time, duration, channel, pitch, velocity] +score2opus() returns a list specifying the equivalent "opus". + +my_score = [ + 96, + [ # track 0: + ['patch_change', 0, 1, 8], + ['note', 5, 96, 1, 25, 96], + ['note', 101, 96, 1, 29, 96] + ], # end of track 0 +] +my_opus = score2opus(my_score) +''' + if len(score) < 2: + score=[1000, [],] + tracks = copy.deepcopy(score) + ticks = int(tracks.pop(0)) + opus_tracks = [] + for scoretrack in tracks: + time2events = dict([]) + for scoreevent in scoretrack: + if scoreevent[0] == 'note': + note_on_event = ['note_on',scoreevent[1], + scoreevent[3],scoreevent[4],scoreevent[5]] + note_off_event = ['note_off',scoreevent[1]+scoreevent[2], + scoreevent[3],scoreevent[4],scoreevent[5]] + if time2events.get(note_on_event[1]): + time2events[note_on_event[1]].append(note_on_event) + else: + time2events[note_on_event[1]] = [note_on_event,] + if time2events.get(note_off_event[1]): + time2events[note_off_event[1]].append(note_off_event) + else: + time2events[note_off_event[1]] = [note_off_event,] + continue + if time2events.get(scoreevent[1]): + time2events[scoreevent[1]].append(scoreevent) + else: + time2events[scoreevent[1]] = [scoreevent,] + + sorted_times = [] # list of keys + for k in time2events.keys(): + sorted_times.append(k) + sorted_times.sort() + + sorted_events = [] # once-flattened list of values sorted by key + for time in sorted_times: + sorted_events.extend(time2events[time]) + + abs_time = 0 + for event in sorted_events: # convert abs times => delta times + delta_time = event[1] - abs_time + abs_time = event[1] + event[1] = delta_time + opus_tracks.append(sorted_events) + opus_tracks.insert(0,ticks) + _clean_up_warnings() + return opus_tracks + +def score2midi(score=None, text_encoding='ISO-8859-1'): + r''' +Translates a "score" into MIDI, using score2opus() then opus2midi() +''' + return opus2midi(score2opus(score, text_encoding), text_encoding) + +#--------------------------- Decoding stuff ------------------------ + +def midi2opus(midi=b'', do_not_check_MIDI_signature=False): + r'''Translates MIDI into a "opus". For a description of the +"opus" format, see opus2midi() +''' + my_midi=bytearray(midi) + if len(my_midi) < 4: + _clean_up_warnings() + return [1000,[],] + id = bytes(my_midi[0:4]) + if id != b'MThd': + _warn("midi2opus: midi starts with "+str(id)+" instead of 'MThd'") + _clean_up_warnings() + if do_not_check_MIDI_signature == False: + return [1000,[],] + [length, format, tracks_expected, ticks] = struct.unpack( + '>IHHH', bytes(my_midi[4:14])) + if length != 6: + _warn("midi2opus: midi header length was "+str(length)+" instead of 6") + _clean_up_warnings() + return [1000,[],] + my_opus = [ticks,] + my_midi = my_midi[14:] + track_num = 1 # 5.1 + while len(my_midi) >= 8: + track_type = bytes(my_midi[0:4]) + if track_type != b'MTrk': + #_warn('midi2opus: Warning: track #'+str(track_num)+' type is '+str(track_type)+" instead of b'MTrk'") + pass + [track_length] = struct.unpack('>I', my_midi[4:8]) + my_midi = my_midi[8:] + if track_length > len(my_midi): + _warn('midi2opus: track #'+str(track_num)+' length '+str(track_length)+' is too large') + _clean_up_warnings() + return my_opus # 5.0 + my_midi_track = my_midi[0:track_length] + my_track = _decode(my_midi_track) + my_opus.append(my_track) + my_midi = my_midi[track_length:] + track_num += 1 # 5.1 + _clean_up_warnings() + return my_opus + +def opus2score(opus=[]): + r'''For a description of the "opus" and "score" formats, +see opus2midi() and score2opus(). +''' + if len(opus) < 2: + _clean_up_warnings() + return [1000,[],] + tracks = copy.deepcopy(opus) # couple of slices probably quicker... + ticks = int(tracks.pop(0)) + score = [ticks,] + for opus_track in tracks: + ticks_so_far = 0 + score_track = [] + chapitch2note_on_events = dict([]) # 4.0 + for opus_event in opus_track: + ticks_so_far += opus_event[1] + if opus_event[0] == 'note_off' or (opus_event[0] == 'note_on' and opus_event[4] == 0): # 4.8 + cha = opus_event[2] + pitch = opus_event[3] + key = cha*128 + pitch + if chapitch2note_on_events.get(key): + new_event = chapitch2note_on_events[key].pop(0) + new_event[2] = ticks_so_far - new_event[1] + score_track.append(new_event) + elif pitch > 127: + pass #_warn('opus2score: note_off with no note_on, bad pitch='+str(pitch)) + else: + pass #_warn('opus2score: note_off with no note_on cha='+str(cha)+' pitch='+str(pitch)) + elif opus_event[0] == 'note_on': + cha = opus_event[2] + pitch = opus_event[3] + key = cha*128 + pitch + new_event = ['note',ticks_so_far,0,cha,pitch, opus_event[4]] + if chapitch2note_on_events.get(key): + chapitch2note_on_events[key].append(new_event) + else: + chapitch2note_on_events[key] = [new_event,] + else: + opus_event[1] = ticks_so_far + score_track.append(opus_event) + # check for unterminated notes (Oisín) -- 5.2 + for chapitch in chapitch2note_on_events: + note_on_events = chapitch2note_on_events[chapitch] + for new_e in note_on_events: + new_e[2] = ticks_so_far - new_e[1] + score_track.append(new_e) + pass #_warn("opus2score: note_on with no note_off cha="+str(new_e[3])+' pitch='+str(new_e[4])+'; adding note_off at end') + score.append(score_track) + _clean_up_warnings() + return score + +def midi2score(midi=b'', do_not_check_MIDI_signature=False): + r''' +Translates MIDI into a "score", using midi2opus() then opus2score() +''' + return opus2score(midi2opus(midi, do_not_check_MIDI_signature)) + +def midi2ms_score(midi=b'', do_not_check_MIDI_signature=False): + r''' +Translates MIDI into a "score" with one beat per second and one +tick per millisecond, using midi2opus() then to_millisecs() +then opus2score() +''' + return opus2score(to_millisecs(midi2opus(midi, do_not_check_MIDI_signature))) + +def midi2single_track_ms_score(midi_path_or_bytes, + recalculate_channels = False, + pass_old_timings_events= False, + verbose = False, + do_not_check_MIDI_signature=False + ): + r''' +Translates MIDI into a single track "score" with 16 instruments and one beat per second and one +tick per millisecond +''' + + if type(midi_path_or_bytes) == bytes: + midi_data = midi_path_or_bytes + + elif type(midi_path_or_bytes) == str: + midi_data = open(midi_path_or_bytes, 'rb').read() + + score = midi2score(midi_data, do_not_check_MIDI_signature) + + if recalculate_channels: + + events_matrixes = [] + + itrack = 1 + events_matrixes_channels = [] + while itrack < len(score): + events_matrix = [] + for event in score[itrack]: + if event[0] == 'note' and event[3] != 9: + event[3] = (16 * (itrack-1)) + event[3] + if event[3] not in events_matrixes_channels: + events_matrixes_channels.append(event[3]) + + events_matrix.append(event) + events_matrixes.append(events_matrix) + itrack += 1 + + events_matrix1 = [] + for e in events_matrixes: + events_matrix1.extend(e) + + if verbose: + if len(events_matrixes_channels) > 16: + print('MIDI has', len(events_matrixes_channels), 'instruments!', len(events_matrixes_channels) - 16, 'instrument(s) will be removed!') + + for e in events_matrix1: + if e[0] == 'note' and e[3] != 9: + if e[3] in events_matrixes_channels[:15]: + if events_matrixes_channels[:15].index(e[3]) < 9: + e[3] = events_matrixes_channels[:15].index(e[3]) + else: + e[3] = events_matrixes_channels[:15].index(e[3])+1 + else: + events_matrix1.remove(e) + + if e[0] in ['patch_change', 'control_change', 'channel_after_touch', 'key_after_touch', 'pitch_wheel_change'] and e[2] != 9: + if e[2] in [e % 16 for e in events_matrixes_channels[:15]]: + if [e % 16 for e in events_matrixes_channels[:15]].index(e[2]) < 9: + e[2] = [e % 16 for e in events_matrixes_channels[:15]].index(e[2]) + else: + e[2] = [e % 16 for e in events_matrixes_channels[:15]].index(e[2])+1 + else: + events_matrix1.remove(e) + + else: + events_matrix1 = [] + itrack = 1 + + while itrack < len(score): + for event in score[itrack]: + events_matrix1.append(event) + itrack += 1 + + opus = score2opus([score[0], events_matrix1]) + ms_score = opus2score(to_millisecs(opus, pass_old_timings_events=pass_old_timings_events)) + + return ms_score + +#------------------------ Other Transformations --------------------- + +def to_millisecs(old_opus=None, desired_time_in_ms=1, pass_old_timings_events = False): + r'''Recallibrates all the times in an "opus" to use one beat +per second and one tick per millisecond. This makes it +hard to retrieve any information about beats or barlines, +but it does make it easy to mix different scores together. +''' + if old_opus == None: + return [1000 * desired_time_in_ms,[],] + try: + old_tpq = int(old_opus[0]) + except IndexError: # 5.0 + _warn('to_millisecs: the opus '+str(type(old_opus))+' has no elements') + return [1000 * desired_time_in_ms,[],] + new_opus = [1000 * desired_time_in_ms,] + # 6.7 first go through building a table of set_tempos by absolute-tick + ticks2tempo = {} + itrack = 1 + while itrack < len(old_opus): + ticks_so_far = 0 + for old_event in old_opus[itrack]: + if old_event[0] == 'note': + raise TypeError('to_millisecs needs an opus, not a score') + ticks_so_far += old_event[1] + if old_event[0] == 'set_tempo': + ticks2tempo[ticks_so_far] = old_event[2] + itrack += 1 + # then get the sorted-array of their keys + tempo_ticks = [] # list of keys + for k in ticks2tempo.keys(): + tempo_ticks.append(k) + tempo_ticks.sort() + # then go through converting to millisec, testing if the next + # set_tempo lies before the next track-event, and using it if so. + itrack = 1 + while itrack < len(old_opus): + ms_per_old_tick = 400 / old_tpq # float: will round later 6.3 + i_tempo_ticks = 0 + ticks_so_far = 0 + ms_so_far = 0.0 + previous_ms_so_far = 0.0 + + if pass_old_timings_events: + new_track = [['set_tempo',0,1000000 * desired_time_in_ms],['old_tpq', 0, old_tpq]] # new "crochet" is 1 sec + else: + new_track = [['set_tempo',0,1000000 * desired_time_in_ms],] # new "crochet" is 1 sec + for old_event in old_opus[itrack]: + # detect if ticks2tempo has something before this event + # 20160702 if ticks2tempo is at the same time, leave it + event_delta_ticks = old_event[1] * desired_time_in_ms + if (i_tempo_ticks < len(tempo_ticks) and + tempo_ticks[i_tempo_ticks] < (ticks_so_far + old_event[1]) * desired_time_in_ms): + delta_ticks = tempo_ticks[i_tempo_ticks] - ticks_so_far + ms_so_far += (ms_per_old_tick * delta_ticks * desired_time_in_ms) + ticks_so_far = tempo_ticks[i_tempo_ticks] + ms_per_old_tick = ticks2tempo[ticks_so_far] / (1000.0*old_tpq * desired_time_in_ms) + i_tempo_ticks += 1 + event_delta_ticks -= delta_ticks + new_event = copy.deepcopy(old_event) # now handle the new event + ms_so_far += (ms_per_old_tick * old_event[1] * desired_time_in_ms) + new_event[1] = round(ms_so_far - previous_ms_so_far) + + if pass_old_timings_events: + if old_event[0] != 'set_tempo': + previous_ms_so_far = ms_so_far + new_track.append(new_event) + else: + new_event[0] = 'old_set_tempo' + previous_ms_so_far = ms_so_far + new_track.append(new_event) + else: + if old_event[0] != 'set_tempo': + previous_ms_so_far = ms_so_far + new_track.append(new_event) + ticks_so_far += event_delta_ticks + new_opus.append(new_track) + itrack += 1 + _clean_up_warnings() + return new_opus + +def event2alsaseq(event=None): # 5.5 + r'''Converts an event into the format needed by the alsaseq module, +http://pp.com.mx/python/alsaseq +The type of track (opus or score) is autodetected. +''' + pass + +def grep(score=None, channels=None): + r'''Returns a "score" containing only the channels specified +''' + if score == None: + return [1000,[],] + ticks = score[0] + new_score = [ticks,] + if channels == None: + return new_score + channels = set(channels) + global Event2channelindex + itrack = 1 + while itrack < len(score): + new_score.append([]) + for event in score[itrack]: + channel_index = Event2channelindex.get(event[0], False) + if channel_index: + if event[channel_index] in channels: + new_score[itrack].append(event) + else: + new_score[itrack].append(event) + itrack += 1 + return new_score + +def score2stats(opus_or_score=None): + r'''Returns a dict of some basic stats about the score, like +bank_select (list of tuples (msb,lsb)), +channels_by_track (list of lists), channels_total (set), +general_midi_mode (list), +ntracks, nticks, patch_changes_by_track (list of dicts), +num_notes_by_channel (list of numbers), +patch_changes_total (set), +percussion (dict histogram of channel 9 events), +pitches (dict histogram of pitches on channels other than 9), +pitch_range_by_track (list, by track, of two-member-tuples), +pitch_range_sum (sum over tracks of the pitch_ranges), +''' + bank_select_msb = -1 + bank_select_lsb = -1 + bank_select = [] + channels_by_track = [] + channels_total = set([]) + general_midi_mode = [] + num_notes_by_channel = dict([]) + patches_used_by_track = [] + patches_used_total = set([]) + patch_changes_by_track = [] + patch_changes_total = set([]) + percussion = dict([]) # histogram of channel 9 "pitches" + pitches = dict([]) # histogram of pitch-occurrences channels 0-8,10-15 + pitch_range_sum = 0 # u pitch-ranges of each track + pitch_range_by_track = [] + is_a_score = True + if opus_or_score == None: + return {'bank_select':[], 'channels_by_track':[], 'channels_total':[], + 'general_midi_mode':[], 'ntracks':0, 'nticks':0, + 'num_notes_by_channel':dict([]), + 'patch_changes_by_track':[], 'patch_changes_total':[], + 'percussion':{}, 'pitches':{}, 'pitch_range_by_track':[], + 'ticks_per_quarter':0, 'pitch_range_sum':0} + ticks_per_quarter = opus_or_score[0] + i = 1 # ignore first element, which is ticks + nticks = 0 + while i < len(opus_or_score): + highest_pitch = 0 + lowest_pitch = 128 + channels_this_track = set([]) + patch_changes_this_track = dict({}) + for event in opus_or_score[i]: + if event[0] == 'note': + num_notes_by_channel[event[3]] = num_notes_by_channel.get(event[3],0) + 1 + if event[3] == 9: + percussion[event[4]] = percussion.get(event[4],0) + 1 + else: + pitches[event[4]] = pitches.get(event[4],0) + 1 + if event[4] > highest_pitch: + highest_pitch = event[4] + if event[4] < lowest_pitch: + lowest_pitch = event[4] + channels_this_track.add(event[3]) + channels_total.add(event[3]) + finish_time = event[1] + event[2] + if finish_time > nticks: + nticks = finish_time + elif event[0] == 'note_off' or (event[0] == 'note_on' and event[4] == 0): # 4.8 + finish_time = event[1] + if finish_time > nticks: + nticks = finish_time + elif event[0] == 'note_on': + is_a_score = False + num_notes_by_channel[event[2]] = num_notes_by_channel.get(event[2],0) + 1 + if event[2] == 9: + percussion[event[3]] = percussion.get(event[3],0) + 1 + else: + pitches[event[3]] = pitches.get(event[3],0) + 1 + if event[3] > highest_pitch: + highest_pitch = event[3] + if event[3] < lowest_pitch: + lowest_pitch = event[3] + channels_this_track.add(event[2]) + channels_total.add(event[2]) + elif event[0] == 'patch_change': + patch_changes_this_track[event[2]] = event[3] + patch_changes_total.add(event[3]) + elif event[0] == 'control_change': + if event[3] == 0: # bank select MSB + bank_select_msb = event[4] + elif event[3] == 32: # bank select LSB + bank_select_lsb = event[4] + if bank_select_msb >= 0 and bank_select_lsb >= 0: + bank_select.append((bank_select_msb,bank_select_lsb)) + bank_select_msb = -1 + bank_select_lsb = -1 + elif event[0] == 'sysex_f0': + if _sysex2midimode.get(event[2], -1) >= 0: + general_midi_mode.append(_sysex2midimode.get(event[2])) + if is_a_score: + if event[1] > nticks: + nticks = event[1] + else: + nticks += event[1] + if lowest_pitch == 128: + lowest_pitch = 0 + channels_by_track.append(channels_this_track) + patch_changes_by_track.append(patch_changes_this_track) + pitch_range_by_track.append((lowest_pitch,highest_pitch)) + pitch_range_sum += (highest_pitch-lowest_pitch) + i += 1 + + return {'bank_select':bank_select, + 'channels_by_track':channels_by_track, + 'channels_total':channels_total, + 'general_midi_mode':general_midi_mode, + 'ntracks':len(opus_or_score)-1, + 'nticks':nticks, + 'num_notes_by_channel':num_notes_by_channel, + 'patch_changes_by_track':patch_changes_by_track, + 'patch_changes_total':patch_changes_total, + 'percussion':percussion, + 'pitches':pitches, + 'pitch_range_by_track':pitch_range_by_track, + 'pitch_range_sum':pitch_range_sum, + 'ticks_per_quarter':ticks_per_quarter} + +#----------------------------- Event stuff -------------------------- + +_sysex2midimode = { + "\x7E\x7F\x09\x01\xF7": 1, + "\x7E\x7F\x09\x02\xF7": 0, + "\x7E\x7F\x09\x03\xF7": 2, +} + +# Some public-access tuples: +MIDI_events = tuple('''note_off note_on key_after_touch +control_change patch_change channel_after_touch +pitch_wheel_change'''.split()) + +Text_events = tuple('''text_event copyright_text_event +track_name instrument_name lyric marker cue_point text_event_08 +text_event_09 text_event_0a text_event_0b text_event_0c +text_event_0d text_event_0e text_event_0f'''.split()) + +Nontext_meta_events = tuple('''end_track set_tempo +smpte_offset time_signature key_signature sequencer_specific +raw_meta_event sysex_f0 sysex_f7 song_position song_select +tune_request'''.split()) +# unsupported: raw_data + +# Actually, 'tune_request' is is F-series event, not strictly a meta-event... +Meta_events = Text_events + Nontext_meta_events +All_events = MIDI_events + Meta_events + +# And three dictionaries: +Number2patch = { # General MIDI patch numbers: +0:'Acoustic Grand', +1:'Bright Acoustic', +2:'Electric Grand', +3:'Honky-Tonk', +4:'Electric Piano 1', +5:'Electric Piano 2', +6:'Harpsichord', +7:'Clav', +8:'Celesta', +9:'Glockenspiel', +10:'Music Box', +11:'Vibraphone', +12:'Marimba', +13:'Xylophone', +14:'Tubular Bells', +15:'Dulcimer', +16:'Drawbar Organ', +17:'Percussive Organ', +18:'Rock Organ', +19:'Church Organ', +20:'Reed Organ', +21:'Accordion', +22:'Harmonica', +23:'Tango Accordion', +24:'Acoustic Guitar(nylon)', +25:'Acoustic Guitar(steel)', +26:'Electric Guitar(jazz)', +27:'Electric Guitar(clean)', +28:'Electric Guitar(muted)', +29:'Overdriven Guitar', +30:'Distortion Guitar', +31:'Guitar Harmonics', +32:'Acoustic Bass', +33:'Electric Bass(finger)', +34:'Electric Bass(pick)', +35:'Fretless Bass', +36:'Slap Bass 1', +37:'Slap Bass 2', +38:'Synth Bass 1', +39:'Synth Bass 2', +40:'Violin', +41:'Viola', +42:'Cello', +43:'Contrabass', +44:'Tremolo Strings', +45:'Pizzicato Strings', +46:'Orchestral Harp', +47:'Timpani', +48:'String Ensemble 1', +49:'String Ensemble 2', +50:'SynthStrings 1', +51:'SynthStrings 2', +52:'Choir Aahs', +53:'Voice Oohs', +54:'Synth Voice', +55:'Orchestra Hit', +56:'Trumpet', +57:'Trombone', +58:'Tuba', +59:'Muted Trumpet', +60:'French Horn', +61:'Brass Section', +62:'SynthBrass 1', +63:'SynthBrass 2', +64:'Soprano Sax', +65:'Alto Sax', +66:'Tenor Sax', +67:'Baritone Sax', +68:'Oboe', +69:'English Horn', +70:'Bassoon', +71:'Clarinet', +72:'Piccolo', +73:'Flute', +74:'Recorder', +75:'Pan Flute', +76:'Blown Bottle', +77:'Skakuhachi', +78:'Whistle', +79:'Ocarina', +80:'Lead 1 (square)', +81:'Lead 2 (sawtooth)', +82:'Lead 3 (calliope)', +83:'Lead 4 (chiff)', +84:'Lead 5 (charang)', +85:'Lead 6 (voice)', +86:'Lead 7 (fifths)', +87:'Lead 8 (bass+lead)', +88:'Pad 1 (new age)', +89:'Pad 2 (warm)', +90:'Pad 3 (polysynth)', +91:'Pad 4 (choir)', +92:'Pad 5 (bowed)', +93:'Pad 6 (metallic)', +94:'Pad 7 (halo)', +95:'Pad 8 (sweep)', +96:'FX 1 (rain)', +97:'FX 2 (soundtrack)', +98:'FX 3 (crystal)', +99:'FX 4 (atmosphere)', +100:'FX 5 (brightness)', +101:'FX 6 (goblins)', +102:'FX 7 (echoes)', +103:'FX 8 (sci-fi)', +104:'Sitar', +105:'Banjo', +106:'Shamisen', +107:'Koto', +108:'Kalimba', +109:'Bagpipe', +110:'Fiddle', +111:'Shanai', +112:'Tinkle Bell', +113:'Agogo', +114:'Steel Drums', +115:'Woodblock', +116:'Taiko Drum', +117:'Melodic Tom', +118:'Synth Drum', +119:'Reverse Cymbal', +120:'Guitar Fret Noise', +121:'Breath Noise', +122:'Seashore', +123:'Bird Tweet', +124:'Telephone Ring', +125:'Helicopter', +126:'Applause', +127:'Gunshot', +} +Notenum2percussion = { # General MIDI Percussion (on Channel 9): +35:'Acoustic Bass Drum', +36:'Bass Drum 1', +37:'Side Stick', +38:'Acoustic Snare', +39:'Hand Clap', +40:'Electric Snare', +41:'Low Floor Tom', +42:'Closed Hi-Hat', +43:'High Floor Tom', +44:'Pedal Hi-Hat', +45:'Low Tom', +46:'Open Hi-Hat', +47:'Low-Mid Tom', +48:'Hi-Mid Tom', +49:'Crash Cymbal 1', +50:'High Tom', +51:'Ride Cymbal 1', +52:'Chinese Cymbal', +53:'Ride Bell', +54:'Tambourine', +55:'Splash Cymbal', +56:'Cowbell', +57:'Crash Cymbal 2', +58:'Vibraslap', +59:'Ride Cymbal 2', +60:'Hi Bongo', +61:'Low Bongo', +62:'Mute Hi Conga', +63:'Open Hi Conga', +64:'Low Conga', +65:'High Timbale', +66:'Low Timbale', +67:'High Agogo', +68:'Low Agogo', +69:'Cabasa', +70:'Maracas', +71:'Short Whistle', +72:'Long Whistle', +73:'Short Guiro', +74:'Long Guiro', +75:'Claves', +76:'Hi Wood Block', +77:'Low Wood Block', +78:'Mute Cuica', +79:'Open Cuica', +80:'Mute Triangle', +81:'Open Triangle', +} + +Event2channelindex = { 'note':3, 'note_off':2, 'note_on':2, + 'key_after_touch':2, 'control_change':2, 'patch_change':2, + 'channel_after_touch':2, 'pitch_wheel_change':2 +} + +################################################################ +# The code below this line is full of frightening things, all to +# do with the actual encoding and decoding of binary MIDI data. + +def _twobytes2int(byte_a): + r'''decode a 16 bit quantity from two bytes,''' + return (byte_a[1] | (byte_a[0] << 8)) + +def _int2twobytes(int_16bit): + r'''encode a 16 bit quantity into two bytes,''' + return bytes([(int_16bit>>8) & 0xFF, int_16bit & 0xFF]) + +def _read_14_bit(byte_a): + r'''decode a 14 bit quantity from two bytes,''' + return (byte_a[0] | (byte_a[1] << 7)) + +def _write_14_bit(int_14bit): + r'''encode a 14 bit quantity into two bytes,''' + return bytes([int_14bit & 0x7F, (int_14bit>>7) & 0x7F]) + +def _ber_compressed_int(integer): + r'''BER compressed integer (not an ASN.1 BER, see perlpacktut for +details). Its bytes represent an unsigned integer in base 128, +most significant digit first, with as few digits as possible. +Bit eight (the high bit) is set on each byte except the last. +''' + ber = bytearray(b'') + seven_bits = 0x7F & integer + ber.insert(0, seven_bits) # XXX surely should convert to a char ? + integer >>= 7 + while integer > 0: + seven_bits = 0x7F & integer + ber.insert(0, 0x80|seven_bits) # XXX surely should convert to a char ? + integer >>= 7 + return ber + +def _unshift_ber_int(ba): + r'''Given a bytearray, returns a tuple of (the ber-integer at the +start, and the remainder of the bytearray). +''' + if not len(ba): # 6.7 + _warn('_unshift_ber_int: no integer found') + return ((0, b"")) + byte = ba[0] + ba = ba[1:] + integer = 0 + while True: + integer += (byte & 0x7F) + if not (byte & 0x80): + return ((integer, ba)) + if not len(ba): + _warn('_unshift_ber_int: no end-of-integer found') + return ((0, ba)) + byte = ba[0] + ba = ba[1:] + integer <<= 7 + + +def _clean_up_warnings(): # 5.4 + # Call this before returning from any publicly callable function + # whenever there's a possibility that a warning might have been printed + # by the function, or by any private functions it might have called. + if _no_warning: + return + global _previous_times + global _previous_warning + if _previous_times > 1: + # E:1176, 0: invalid syntax (, line 1176) (syntax-error) ??? + # print(' previous message repeated '+str(_previous_times)+' times', file=sys.stderr) + # 6.7 + sys.stderr.write(' previous message repeated {0} times\n'.format(_previous_times)) + elif _previous_times > 0: + sys.stderr.write(' previous message repeated\n') + _previous_times = 0 + _previous_warning = '' + + +def _warn(s=''): + if _no_warning: + return + global _previous_times + global _previous_warning + if s == _previous_warning: # 5.4 + _previous_times = _previous_times + 1 + else: + _clean_up_warnings() + sys.stderr.write(str(s) + "\n") + _previous_warning = s + + +def _some_text_event(which_kind=0x01, text=b'some_text', text_encoding='ISO-8859-1'): + if str(type(text)).find("'str'") >= 0: # 6.4 test for back-compatibility + data = bytes(text, encoding=text_encoding) + else: + data = bytes(text) + return b'\xFF' + bytes((which_kind,)) + _ber_compressed_int(len(data)) + data + + +def _consistentise_ticks(scores): # 3.6 + # used by mix_scores, merge_scores, concatenate_scores + if len(scores) == 1: + return copy.deepcopy(scores) + are_consistent = True + ticks = scores[0][0] + iscore = 1 + while iscore < len(scores): + if scores[iscore][0] != ticks: + are_consistent = False + break + iscore += 1 + if are_consistent: + return copy.deepcopy(scores) + new_scores = [] + iscore = 0 + while iscore < len(scores): + score = scores[iscore] + new_scores.append(opus2score(to_millisecs(score2opus(score)))) + iscore += 1 + return new_scores + + +########################################################################### +def _decode(trackdata=b'', exclude=None, include=None, + event_callback=None, exclusive_event_callback=None, no_eot_magic=False): + r'''Decodes MIDI track data into an opus-style list of events. +The options: + 'exclude' is a list of event types which will be ignored SHOULD BE A SET + 'include' (and no exclude), makes exclude a list + of all possible events, /minus/ what include specifies + 'event_callback' is a coderef + 'exclusive_event_callback' is a coderef +''' + trackdata = bytearray(trackdata) + if exclude == None: + exclude = [] + if include == None: + include = [] + if include and not exclude: + exclude = All_events + include = set(include) + exclude = set(exclude) + + # Pointer = 0; not used here; we eat through the bytearray instead. + event_code = -1; # used for running status + event_count = 0; + events = [] + + while (len(trackdata)): + # loop while there's anything to analyze ... + eot = False # When True, the event registrar aborts this loop + event_count += 1 + + E = [] + # E for events - we'll feed it to the event registrar at the end. + + # Slice off the delta time code, and analyze it + [time, trackdata] = _unshift_ber_int(trackdata) + + # Now let's see what we can make of the command + first_byte = trackdata[0] & 0xFF + trackdata = trackdata[1:] + if (first_byte < 0xF0): # It's a MIDI event + if (first_byte & 0x80): + event_code = first_byte + else: + # It wants running status; use last event_code value + trackdata.insert(0, first_byte) + if (event_code == -1): + _warn("Running status not set; Aborting track.") + return [] + + command = event_code & 0xF0 + channel = event_code & 0x0F + + if (command == 0xF6): # 0-byte argument + pass + elif (command == 0xC0 or command == 0xD0): # 1-byte argument + parameter = trackdata[0] # could be B + trackdata = trackdata[1:] + else: # 2-byte argument could be BB or 14-bit + parameter = (trackdata[0], trackdata[1]) + trackdata = trackdata[2:] + + ################################################################# + # MIDI events + + if (command == 0x80): + if 'note_off' in exclude: + continue + E = ['note_off', time, channel, parameter[0], parameter[1]] + elif (command == 0x90): + if 'note_on' in exclude: + continue + E = ['note_on', time, channel, parameter[0], parameter[1]] + elif (command == 0xA0): + if 'key_after_touch' in exclude: + continue + E = ['key_after_touch', time, channel, parameter[0], parameter[1]] + elif (command == 0xB0): + if 'control_change' in exclude: + continue + E = ['control_change', time, channel, parameter[0], parameter[1]] + elif (command == 0xC0): + if 'patch_change' in exclude: + continue + E = ['patch_change', time, channel, parameter] + elif (command == 0xD0): + if 'channel_after_touch' in exclude: + continue + E = ['channel_after_touch', time, channel, parameter] + elif (command == 0xE0): + if 'pitch_wheel_change' in exclude: + continue + E = ['pitch_wheel_change', time, channel, + _read_14_bit(parameter) - 0x2000] + else: + _warn("Shouldn't get here; command=" + hex(command)) + + elif (first_byte == 0xFF): # It's a Meta-Event! ################## + # [command, length, remainder] = + # unpack("xCwa*", substr(trackdata, $Pointer, 6)); + # Pointer += 6 - len(remainder); + # # Move past JUST the length-encoded. + command = trackdata[0] & 0xFF + trackdata = trackdata[1:] + [length, trackdata] = _unshift_ber_int(trackdata) + if (command == 0x00): + if (length == 2): + E = ['set_sequence_number', time, _twobytes2int(trackdata)] + else: + _warn('set_sequence_number: length must be 2, not ' + str(length)) + E = ['set_sequence_number', time, 0] + + elif command >= 0x01 and command <= 0x0f: # Text events + # 6.2 take it in bytes; let the user get the right encoding. + # text_str = trackdata[0:length].decode('ascii','ignore') + # text_str = trackdata[0:length].decode('ISO-8859-1') + # 6.4 take it in bytes; let the user get the right encoding. + text_data = bytes(trackdata[0:length]) # 6.4 + # Defined text events + if (command == 0x01): + E = ['text_event', time, text_data] + elif (command == 0x02): + E = ['copyright_text_event', time, text_data] + elif (command == 0x03): + E = ['track_name', time, text_data] + elif (command == 0x04): + E = ['instrument_name', time, text_data] + elif (command == 0x05): + E = ['lyric', time, text_data] + elif (command == 0x06): + E = ['marker', time, text_data] + elif (command == 0x07): + E = ['cue_point', time, text_data] + # Reserved but apparently unassigned text events + elif (command == 0x08): + E = ['text_event_08', time, text_data] + elif (command == 0x09): + E = ['text_event_09', time, text_data] + elif (command == 0x0a): + E = ['text_event_0a', time, text_data] + elif (command == 0x0b): + E = ['text_event_0b', time, text_data] + elif (command == 0x0c): + E = ['text_event_0c', time, text_data] + elif (command == 0x0d): + E = ['text_event_0d', time, text_data] + elif (command == 0x0e): + E = ['text_event_0e', time, text_data] + elif (command == 0x0f): + E = ['text_event_0f', time, text_data] + + # Now the sticky events ------------------------------------- + elif (command == 0x2F): + E = ['end_track', time] + # The code for handling this, oddly, comes LATER, + # in the event registrar. + elif (command == 0x51): # DTime, Microseconds/Crochet + if length != 3: + _warn('set_tempo event, but length=' + str(length)) + E = ['set_tempo', time, + struct.unpack(">I", b'\x00' + trackdata[0:3])[0]] + elif (command == 0x54): + if length != 5: # DTime, HR, MN, SE, FR, FF + _warn('smpte_offset event, but length=' + str(length)) + E = ['smpte_offset', time] + list(struct.unpack(">BBBBB", trackdata[0:5])) + elif (command == 0x58): + if length != 4: # DTime, NN, DD, CC, BB + _warn('time_signature event, but length=' + str(length)) + E = ['time_signature', time] + list(trackdata[0:4]) + elif (command == 0x59): + if length != 2: # DTime, SF(signed), MI + _warn('key_signature event, but length=' + str(length)) + E = ['key_signature', time] + list(struct.unpack(">bB", trackdata[0:2])) + elif (command == 0x7F): # 6.4 + E = ['sequencer_specific', time, bytes(trackdata[0:length])] + else: + E = ['raw_meta_event', time, command, + bytes(trackdata[0:length])] # 6.0 + # "[uninterpretable meta-event command of length length]" + # DTime, Command, Binary Data + # It's uninterpretable; record it as raw_data. + + # Pointer += length; # Now move Pointer + trackdata = trackdata[length:] + + ###################################################################### + elif (first_byte == 0xF0 or first_byte == 0xF7): + # Note that sysexes in MIDI /files/ are different than sysexes + # in MIDI transmissions!! The vast majority of system exclusive + # messages will just use the F0 format. For instance, the + # transmitted message F0 43 12 00 07 F7 would be stored in a + # MIDI file as F0 05 43 12 00 07 F7. As mentioned above, it is + # required to include the F7 at the end so that the reader of the + # MIDI file knows that it has read the entire message. (But the F7 + # is omitted if this is a non-final block in a multiblock sysex; + # but the F7 (if there) is counted in the message's declared + # length, so we don't have to think about it anyway.) + # command = trackdata.pop(0) + [length, trackdata] = _unshift_ber_int(trackdata) + if first_byte == 0xF0: + # 20091008 added ISO-8859-1 to get an 8-bit str + # 6.4 return bytes instead + E = ['sysex_f0', time, bytes(trackdata[0:length])] + else: + E = ['sysex_f7', time, bytes(trackdata[0:length])] + trackdata = trackdata[length:] + + ###################################################################### + # Now, the MIDI file spec says: + # = + + # = + # = | | + # I know that, on the wire, can include note_on, + # note_off, and all the other 8x to Ex events, AND Fx events + # other than F0, F7, and FF -- namely, , + # , and . + # + # Whether these can occur in MIDI files is not clear specified + # from the MIDI file spec. So, I'm going to assume that + # they CAN, in practice, occur. I don't know whether it's + # proper for you to actually emit these into a MIDI file. + + elif (first_byte == 0xF2): # DTime, Beats + # ::= F2 + E = ['song_position', time, _read_14_bit(trackdata[:2])] + trackdata = trackdata[2:] + + elif (first_byte == 0xF3): # ::= F3 + # E = ['song_select', time, struct.unpack('>B',trackdata.pop(0))[0]] + E = ['song_select', time, trackdata[0]] + trackdata = trackdata[1:] + # DTime, Thing (what?! song number? whatever ...) + + elif (first_byte == 0xF6): # DTime + E = ['tune_request', time] + # What would a tune request be doing in a MIDI /file/? + + ######################################################### + # ADD MORE META-EVENTS HERE. TODO: + # f1 -- MTC Quarter Frame Message. One data byte follows + # the Status; it's the time code value, from 0 to 127. + # f8 -- MIDI clock. no data. + # fa -- MIDI start. no data. + # fb -- MIDI continue. no data. + # fc -- MIDI stop. no data. + # fe -- Active sense. no data. + # f4 f5 f9 fd -- unallocated + + r''' + elif (first_byte > 0xF0) { # Some unknown kinda F-series event #### + # Here we only produce a one-byte piece of raw data. + # But the encoder for 'raw_data' accepts any length of it. + E = [ 'raw_data', + time, substr(trackdata,Pointer,1) ] + # DTime and the Data (in this case, the one Event-byte) + ++Pointer; # itself + +''' + elif first_byte > 0xF0: # Some unknown F-series event + # Here we only produce a one-byte piece of raw data. + # E = ['raw_data', time, bytest(trackdata[0])] # 6.4 + E = ['raw_data', time, trackdata[0]] # 6.4 6.7 + trackdata = trackdata[1:] + else: # Fallthru. + _warn("Aborting track. Command-byte first_byte=" + hex(first_byte)) + break + # End of the big if-group + + ###################################################################### + # THE EVENT REGISTRAR... + if E and (E[0] == 'end_track'): + # This is the code for exceptional handling of the EOT event. + eot = True + if not no_eot_magic: + if E[1] > 0: # a null text-event to carry the delta-time + E = ['text_event', E[1], ''] + else: + E = [] # EOT with a delta-time of 0; ignore it. + + if E and not (E[0] in exclude): + # if ( $exclusive_event_callback ): + # &{ $exclusive_event_callback }( @E ); + # else: + # &{ $event_callback }( @E ) if $event_callback; + events.append(E) + if eot: + break + + # End of the big "Event" while-block + + return events + + +########################################################################### +def _encode(events_lol, unknown_callback=None, never_add_eot=False, + no_eot_magic=False, no_running_status=False, text_encoding='ISO-8859-1'): + # encode an event structure, presumably for writing to a file + # Calling format: + # $data_r = MIDI::Event::encode( \@event_lol, { options } ); + # Takes a REFERENCE to an event structure (a LoL) + # Returns an (unblessed) REFERENCE to track data. + + # If you want to use this to encode a /single/ event, + # you still have to do it as a reference to an event structure (a LoL) + # that just happens to have just one event. I.e., + # encode( [ $event ] ) or encode( [ [ 'note_on', 100, 5, 42, 64] ] ) + # If you're doing this, consider the never_add_eot track option, as in + # print MIDI ${ encode( [ $event], { 'never_add_eot' => 1} ) }; + + data = [] # what I'll store the chunks of byte-data in + + # This is so my end_track magic won't corrupt the original + events = copy.deepcopy(events_lol) + + if not never_add_eot: + # One way or another, tack on an 'end_track' + if events: + last = events[-1] + if not (last[0] == 'end_track'): # no end_track already + if (last[0] == 'text_event' and len(last[2]) == 0): + # 0-length text event at track-end. + if no_eot_magic: + # Exceptional case: don't mess with track-final + # 0-length text_events; just peg on an end_track + events.append(['end_track', 0]) + else: + # NORMAL CASE: replace with an end_track, leaving DTime + last[0] = 'end_track' + else: + # last event was neither 0-length text_event nor end_track + events.append(['end_track', 0]) + else: # an eventless track! + events = [['end_track', 0],] + + # maybe_running_status = not no_running_status # unused? 4.7 + last_status = -1 + + for event_r in (events): + E = copy.deepcopy(event_r) + # otherwise the shifting'd corrupt the original + if not E: + continue + + event = E.pop(0) + if not len(event): + continue + + dtime = int(E.pop(0)) + # print('event='+str(event)+' dtime='+str(dtime)) + + event_data = '' + + if ( # MIDI events -- eligible for running status + event == 'note_on' + or event == 'note_off' + or event == 'control_change' + or event == 'key_after_touch' + or event == 'patch_change' + or event == 'channel_after_touch' + or event == 'pitch_wheel_change' ): + + # This block is where we spend most of the time. Gotta be tight. + if (event == 'note_off'): + status = 0x80 | (int(E[0]) & 0x0F) + parameters = struct.pack('>BB', int(E[1])&0x7F, int(E[2])&0x7F) + elif (event == 'note_on'): + status = 0x90 | (int(E[0]) & 0x0F) + parameters = struct.pack('>BB', int(E[1])&0x7F, int(E[2])&0x7F) + elif (event == 'key_after_touch'): + status = 0xA0 | (int(E[0]) & 0x0F) + parameters = struct.pack('>BB', int(E[1])&0x7F, int(E[2])&0x7F) + elif (event == 'control_change'): + status = 0xB0 | (int(E[0]) & 0x0F) + parameters = struct.pack('>BB', int(E[1])&0xFF, int(E[2])&0xFF) + elif (event == 'patch_change'): + status = 0xC0 | (int(E[0]) & 0x0F) + parameters = struct.pack('>B', int(E[1]) & 0xFF) + elif (event == 'channel_after_touch'): + status = 0xD0 | (int(E[0]) & 0x0F) + parameters = struct.pack('>B', int(E[1]) & 0xFF) + elif (event == 'pitch_wheel_change'): + status = 0xE0 | (int(E[0]) & 0x0F) + parameters = _write_14_bit(int(E[1]) + 0x2000) + else: + _warn("BADASS FREAKOUT ERROR 31415!") + + # And now the encoding + # w = BER compressed integer (not ASN.1 BER, see perlpacktut for + # details). Its bytes represent an unsigned integer in base 128, + # most significant digit first, with as few digits as possible. + # Bit eight (the high bit) is set on each byte except the last. + + data.append(_ber_compressed_int(dtime)) + if (status != last_status) or no_running_status: + data.append(struct.pack('>B', status)) + data.append(parameters) + + last_status = status + continue + else: + # Not a MIDI event. + # All the code in this block could be more efficient, + # but this is not where the code needs to be tight. + # print "zaz $event\n"; + last_status = -1 + + if event == 'raw_meta_event': + event_data = _some_text_event(int(E[0]), E[1], text_encoding) + elif (event == 'set_sequence_number'): # 3.9 + event_data = b'\xFF\x00\x02'+_int2twobytes(E[0]) + + # Text meta-events... + # a case for a dict, I think (pjb) ... + elif (event == 'text_event'): + event_data = _some_text_event(0x01, E[0], text_encoding) + elif (event == 'copyright_text_event'): + event_data = _some_text_event(0x02, E[0], text_encoding) + elif (event == 'track_name'): + event_data = _some_text_event(0x03, E[0], text_encoding) + elif (event == 'instrument_name'): + event_data = _some_text_event(0x04, E[0], text_encoding) + elif (event == 'lyric'): + event_data = _some_text_event(0x05, E[0], text_encoding) + elif (event == 'marker'): + event_data = _some_text_event(0x06, E[0], text_encoding) + elif (event == 'cue_point'): + event_data = _some_text_event(0x07, E[0], text_encoding) + elif (event == 'text_event_08'): + event_data = _some_text_event(0x08, E[0], text_encoding) + elif (event == 'text_event_09'): + event_data = _some_text_event(0x09, E[0], text_encoding) + elif (event == 'text_event_0a'): + event_data = _some_text_event(0x0A, E[0], text_encoding) + elif (event == 'text_event_0b'): + event_data = _some_text_event(0x0B, E[0], text_encoding) + elif (event == 'text_event_0c'): + event_data = _some_text_event(0x0C, E[0], text_encoding) + elif (event == 'text_event_0d'): + event_data = _some_text_event(0x0D, E[0], text_encoding) + elif (event == 'text_event_0e'): + event_data = _some_text_event(0x0E, E[0], text_encoding) + elif (event == 'text_event_0f'): + event_data = _some_text_event(0x0F, E[0], text_encoding) + # End of text meta-events + + elif (event == 'end_track'): + event_data = b"\xFF\x2F\x00" + + elif (event == 'set_tempo'): + #event_data = struct.pack(">BBwa*", 0xFF, 0x51, 3, + # substr( struct.pack('>I', E[0]), 1, 3)) + event_data = b'\xFF\x51\x03'+struct.pack('>I',E[0])[1:] + elif (event == 'smpte_offset'): + # event_data = struct.pack(">BBwBBBBB", 0xFF, 0x54, 5, E[0:5] ) + event_data = struct.pack(">BBBbBBBB", 0xFF,0x54,0x05,E[0],E[1],E[2],E[3],E[4]) + elif (event == 'time_signature'): + # event_data = struct.pack(">BBwBBBB", 0xFF, 0x58, 4, E[0:4] ) + event_data = struct.pack(">BBBbBBB", 0xFF, 0x58, 0x04, E[0],E[1],E[2],E[3]) + elif (event == 'key_signature'): + event_data = struct.pack(">BBBbB", 0xFF, 0x59, 0x02, E[0],E[1]) + elif (event == 'sequencer_specific'): + # event_data = struct.pack(">BBwa*", 0xFF,0x7F, len(E[0]), E[0]) + event_data = _some_text_event(0x7F, E[0], text_encoding) + # End of Meta-events + + # Other Things... + elif (event == 'sysex_f0'): + #event_data = struct.pack(">Bwa*", 0xF0, len(E[0]), E[0]) + #B=bitstring w=BER-compressed-integer a=null-padded-ascii-str + event_data = bytearray(b'\xF0')+_ber_compressed_int(len(E[0]))+bytearray(E[0]) + elif (event == 'sysex_f7'): + #event_data = struct.pack(">Bwa*", 0xF7, len(E[0]), E[0]) + event_data = bytearray(b'\xF7')+_ber_compressed_int(len(E[0]))+bytearray(E[0]) + + elif (event == 'song_position'): + event_data = b"\xF2" + _write_14_bit( E[0] ) + elif (event == 'song_select'): + event_data = struct.pack('>BB', 0xF3, E[0] ) + elif (event == 'tune_request'): + event_data = b"\xF6" + elif (event == 'raw_data'): + _warn("_encode: raw_data event not supported") + # event_data = E[0] + continue + # End of Other Stuff + + else: + # The Big Fallthru + if unknown_callback: + # push(@data, &{ $unknown_callback }( @$event_r )) + pass + else: + _warn("Unknown event: "+str(event)) + # To surpress complaint here, just set + # 'unknown_callback' => sub { return () } + continue + + #print "Event $event encoded part 2\n" + if str(type(event_data)).find("'str'") >= 0: + event_data = bytearray(event_data.encode('Latin1', 'ignore')) + if len(event_data): # how could $event_data be empty + # data.append(struct.pack('>wa*', dtime, event_data)) + # print(' event_data='+str(event_data)) + data.append(_ber_compressed_int(dtime)+event_data) + + return b''.join(data) + +################################################################################### +################################################################################### +################################################################################### +# +# Tegridy MIDI X Module (TMIDI X / tee-midi eks) +# Version 1.0 +# +# Based upon and includes the amazing MIDI.py module v.6.7. by Peter Billam +# pjb.com.au +# +# Project Los Angeles +# Tegridy Code 2021 +# https://github.com/Tegridy-Code/Project-Los-Angeles +# +################################################################################### +################################################################################### +################################################################################### + +import os + +import datetime + +import copy + +from datetime import datetime + +import secrets + +import random + +import pickle + +import csv + +import tqdm + +from itertools import zip_longest +from itertools import groupby +from collections import Counter + +from operator import itemgetter + +import sys + +from abc import ABC, abstractmethod + +from difflib import SequenceMatcher as SM + +import statistics +import math + +import matplotlib.pyplot as plt + +################################################################################### +# +# Original TMIDI Tegridy helper functions +# +################################################################################### + +def Tegridy_TXT_to_INT_Converter(input_TXT_string, line_by_line_INT_string=True, max_INT = 0): + + '''Tegridy TXT to Intergers Converter + + Input: Input TXT string in the TMIDI-TXT format + + Type of output TXT INT string: line-by-line or one long string + + Maximum absolute integer to process. Maximum is inclusive + Default = process all integers. This helps to remove outliers/unwanted ints + + Output: List of pure intergers + String of intergers in the specified format: line-by-line or one long string + Number of processed integers + Number of skipped integers + + Project Los Angeles + Tegridy Code 2021''' + + print('Tegridy TXT to Intergers Converter') + + output_INT_list = [] + + npi = 0 + nsi = 0 + + TXT_List = list(input_TXT_string) + for char in TXT_List: + if max_INT != 0: + if abs(ord(char)) <= max_INT: + output_INT_list.append(ord(char)) + npi += 1 + else: + nsi += 1 + else: + output_INT_list.append(ord(char)) + npi += 1 + + if line_by_line_INT_string: + output_INT_string = '\n'.join([str(elem) for elem in output_INT_list]) + else: + output_INT_string = ' '.join([str(elem) for elem in output_INT_list]) + + print('Converted TXT to INTs:', npi, ' / ', nsi) + + return output_INT_list, output_INT_string, npi, nsi + +################################################################################### + +def Tegridy_INT_to_TXT_Converter(input_INT_list): + + '''Tegridy Intergers to TXT Converter + + Input: List of intergers in TMIDI-TXT-INT format + Output: Decoded TXT string in TMIDI-TXT format + Project Los Angeles + Tegridy Code 2020''' + + output_TXT_string = '' + + for i in input_INT_list: + output_TXT_string += chr(int(i)) + + return output_TXT_string + +################################################################################### + +def Tegridy_INT_String_to_TXT_Converter(input_INT_String, line_by_line_input=True): + + '''Tegridy Intergers String to TXT Converter + + Input: List of intergers in TMIDI-TXT-INT-String format + Output: Decoded TXT string in TMIDI-TXT format + Project Los Angeles + Tegridy Code 2020''' + + print('Tegridy Intergers String to TXT Converter') + + if line_by_line_input: + input_string = input_INT_String.split('\n') + else: + input_string = input_INT_String.split(' ') + + output_TXT_string = '' + + for i in input_string: + try: + output_TXT_string += chr(abs(int(i))) + except: + print('Bad note:', i) + continue + + print('Done!') + + return output_TXT_string + +################################################################################### + +def Tegridy_SONG_to_MIDI_Converter(SONG, + output_signature = 'Tegridy TMIDI Module', + track_name = 'Composition Track', + number_of_ticks_per_quarter = 425, + list_of_MIDI_patches = [0, 24, 32, 40, 42, 46, 56, 71, 73, 0, 0, 0, 0, 0, 0, 0], + output_file_name = 'TMIDI-Composition', + text_encoding='ISO-8859-1', + verbose=True): + + '''Tegridy SONG to MIDI Converter + + Input: Input SONG in TMIDI SONG/MIDI.py Score format + Output MIDI Track 0 name / MIDI Signature + Output MIDI Track 1 name / Composition track name + Number of ticks per quarter for the output MIDI + List of 16 MIDI patch numbers for output MIDI. Def. is MuseNet compatible patches. + Output file name w/o .mid extension. + Optional text encoding if you are working with text_events/lyrics. This is especially useful for Karaoke. Please note that anything but ISO-8859-1 is a non-standard way of encoding text_events according to MIDI specs. + + Output: MIDI File + Detailed MIDI stats + + Project Los Angeles + Tegridy Code 2020''' + + if verbose: + print('Converting to MIDI. Please stand-by...') + + output_header = [number_of_ticks_per_quarter, + [['track_name', 0, bytes(output_signature, text_encoding)]]] + + patch_list = [['patch_change', 0, 0, list_of_MIDI_patches[0]], + ['patch_change', 0, 1, list_of_MIDI_patches[1]], + ['patch_change', 0, 2, list_of_MIDI_patches[2]], + ['patch_change', 0, 3, list_of_MIDI_patches[3]], + ['patch_change', 0, 4, list_of_MIDI_patches[4]], + ['patch_change', 0, 5, list_of_MIDI_patches[5]], + ['patch_change', 0, 6, list_of_MIDI_patches[6]], + ['patch_change', 0, 7, list_of_MIDI_patches[7]], + ['patch_change', 0, 8, list_of_MIDI_patches[8]], + ['patch_change', 0, 9, list_of_MIDI_patches[9]], + ['patch_change', 0, 10, list_of_MIDI_patches[10]], + ['patch_change', 0, 11, list_of_MIDI_patches[11]], + ['patch_change', 0, 12, list_of_MIDI_patches[12]], + ['patch_change', 0, 13, list_of_MIDI_patches[13]], + ['patch_change', 0, 14, list_of_MIDI_patches[14]], + ['patch_change', 0, 15, list_of_MIDI_patches[15]], + ['track_name', 0, bytes(track_name, text_encoding)]] + + output = output_header + [patch_list + SONG] + + midi_data = score2midi(output, text_encoding) + detailed_MIDI_stats = score2stats(output) + + with open(output_file_name + '.mid', 'wb') as midi_file: + midi_file.write(midi_data) + midi_file.close() + + if verbose: + print('Done! Enjoy! :)') + + return detailed_MIDI_stats + +################################################################################### + +def Tegridy_ms_SONG_to_MIDI_Converter(ms_SONG, + output_signature = 'Tegridy TMIDI Module', + track_name = 'Composition Track', + list_of_MIDI_patches = [0, 24, 32, 40, 42, 46, 56, 71, 73, 0, 0, 0, 0, 0, 0, 0], + output_file_name = 'TMIDI-Composition', + text_encoding='ISO-8859-1', + timings_multiplier=1, + verbose=True + ): + + '''Tegridy milisecond SONG to MIDI Converter + + Input: Input ms SONG in TMIDI ms SONG/MIDI.py ms Score format + Output MIDI Track 0 name / MIDI Signature + Output MIDI Track 1 name / Composition track name + List of 16 MIDI patch numbers for output MIDI. Def. is MuseNet compatible patches. + Output file name w/o .mid extension. + Optional text encoding if you are working with text_events/lyrics. This is especially useful for Karaoke. Please note that anything but ISO-8859-1 is a non-standard way of encoding text_events according to MIDI specs. + Optional timings multiplier + Optional verbose output + + Output: MIDI File + Detailed MIDI stats + + Project Los Angeles + Tegridy Code 2024''' + + if verbose: + print('Converting to MIDI. Please stand-by...') + + output_header = [1000, + [['set_tempo', 0, 1000000], + ['time_signature', 0, 4, 2, 24, 8], + ['track_name', 0, bytes(output_signature, text_encoding)]]] + + patch_list = [['patch_change', 0, 0, list_of_MIDI_patches[0]], + ['patch_change', 0, 1, list_of_MIDI_patches[1]], + ['patch_change', 0, 2, list_of_MIDI_patches[2]], + ['patch_change', 0, 3, list_of_MIDI_patches[3]], + ['patch_change', 0, 4, list_of_MIDI_patches[4]], + ['patch_change', 0, 5, list_of_MIDI_patches[5]], + ['patch_change', 0, 6, list_of_MIDI_patches[6]], + ['patch_change', 0, 7, list_of_MIDI_patches[7]], + ['patch_change', 0, 8, list_of_MIDI_patches[8]], + ['patch_change', 0, 9, list_of_MIDI_patches[9]], + ['patch_change', 0, 10, list_of_MIDI_patches[10]], + ['patch_change', 0, 11, list_of_MIDI_patches[11]], + ['patch_change', 0, 12, list_of_MIDI_patches[12]], + ['patch_change', 0, 13, list_of_MIDI_patches[13]], + ['patch_change', 0, 14, list_of_MIDI_patches[14]], + ['patch_change', 0, 15, list_of_MIDI_patches[15]], + ['track_name', 0, bytes(track_name, text_encoding)]] + + SONG = copy.deepcopy(ms_SONG) + + if timings_multiplier != 1: + for S in SONG: + S[1] = S[1] * timings_multiplier + if S[0] == 'note': + S[2] = S[2] * timings_multiplier + + output = output_header + [patch_list + SONG] + + midi_data = score2midi(output, text_encoding) + detailed_MIDI_stats = score2stats(output) + + with open(output_file_name + '.mid', 'wb') as midi_file: + midi_file.write(midi_data) + midi_file.close() + + if verbose: + print('Done! Enjoy! :)') + + return detailed_MIDI_stats + +################################################################################### + +def hsv_to_rgb(h, s, v): + if s == 0.0: + return v, v, v + i = int(h*6.0) + f = (h*6.0) - i + p = v*(1.0 - s) + q = v*(1.0 - s*f) + t = v*(1.0 - s*(1.0-f)) + i = i%6 + return [(v, t, p), (q, v, p), (p, v, t), (p, q, v), (t, p, v), (v, p, q)][i] + +def generate_colors(n): + return [hsv_to_rgb(i/n, 1, 1) for i in range(n)] + +def add_arrays(a, b): + return [sum(pair) for pair in zip(a, b)] + +#------------------------------------------------------------------------------- + +def plot_ms_SONG(ms_song, + preview_length_in_notes=0, + block_lines_times_list = None, + plot_title='ms Song', + max_num_colors=129, + drums_color_num=128, + plot_size=(11,4), + note_height = 0.75, + show_grid_lines=False, + return_plt = False, + timings_multiplier=1, + save_plt='', + save_only_plt_image=True, + save_transparent=False + ): + + '''Tegridy ms SONG plotter/vizualizer''' + + notes = [s for s in ms_song if s[0] == 'note'] + + if (len(max(notes, key=len)) != 7) and (len(min(notes, key=len)) != 7): + print('The song notes do not have patches information') + print('Ploease add patches to the notes in the song') + + else: + + start_times = [(s[1] * timings_multiplier) / 1000 for s in notes] + durations = [(s[2] * timings_multiplier) / 1000 for s in notes] + pitches = [s[4] for s in notes] + patches = [s[6] for s in notes] + + colors = generate_colors(max_num_colors) + colors[drums_color_num] = (1, 1, 1) + + pbl = (notes[preview_length_in_notes][1] * timings_multiplier) / 1000 + + fig, ax = plt.subplots(figsize=plot_size) + #fig, ax = plt.subplots() + + # Create a rectangle for each note with color based on patch number + for start, duration, pitch, patch in zip(start_times, durations, pitches, patches): + rect = plt.Rectangle((start, pitch), duration, note_height, facecolor=colors[patch]) + ax.add_patch(rect) + + # Set the limits of the plot + ax.set_xlim([min(start_times), max(add_arrays(start_times, durations))]) + ax.set_ylim([min(pitches)-1, max(pitches)+1]) + + # Set the background color to black + ax.set_facecolor('black') + fig.patch.set_facecolor('white') + + if preview_length_in_notes > 0: + ax.axvline(x=pbl, c='white') + + if block_lines_times_list: + for bl in block_lines_times_list: + ax.axvline(x=bl, c='white') + + if show_grid_lines: + ax.grid(color='white') + + plt.xlabel('Time (s)', c='black') + plt.ylabel('MIDI Pitch', c='black') + + plt.title(plot_title) + + if save_plt != '': + if save_only_plt_image: + plt.axis('off') + plt.title('') + plt.savefig(save_plt, transparent=save_transparent, bbox_inches='tight', pad_inches=0, facecolor='black') + plt.close() + + else: + plt.savefig(save_plt) + plt.close() + + if return_plt: + plt.close(fig) + return fig + + plt.show() + plt.close() + +################################################################################### + +def Tegridy_SONG_to_Full_MIDI_Converter(SONG, + output_signature = 'Tegridy TMIDI Module', + track_name = 'Composition Track', + number_of_ticks_per_quarter = 1000, + output_file_name = 'TMIDI-Composition', + text_encoding='ISO-8859-1', + verbose=True): + + '''Tegridy SONG to Full MIDI Converter + + Input: Input SONG in Full TMIDI SONG/MIDI.py Score format + Output MIDI Track 0 name / MIDI Signature + Output MIDI Track 1 name / Composition track name + Number of ticks per quarter for the output MIDI + Output file name w/o .mid extension. + Optional text encoding if you are working with text_events/lyrics. This is especially useful for Karaoke. Please note that anything but ISO-8859-1 is a non-standard way of encoding text_events according to MIDI specs. + + Output: MIDI File + Detailed MIDI stats + + Project Los Angeles + Tegridy Code 2023''' + + if verbose: + print('Converting to MIDI. Please stand-by...') + + output_header = [number_of_ticks_per_quarter, + [['set_tempo', 0, 1000000], + ['track_name', 0, bytes(output_signature, text_encoding)]]] + + song_track = [['track_name', 0, bytes(track_name, text_encoding)]] + + output = output_header + [song_track + SONG] + + midi_data = score2midi(output, text_encoding) + detailed_MIDI_stats = score2stats(output) + + with open(output_file_name + '.mid', 'wb') as midi_file: + midi_file.write(midi_data) + midi_file.close() + + if verbose: + print('Done! Enjoy! :)') + + return detailed_MIDI_stats + +################################################################################### + +def Tegridy_File_Time_Stamp(input_file_name='File_Created_on_', ext = ''): + + '''Tegridy File Time Stamp + + Input: Full path and file name without extention + File extension + + Output: File name string with time-stamp and extension (time-stamped file name) + + Project Los Angeles + Tegridy Code 2021''' + + print('Time-stamping output file...') + + now = '' + now_n = str(datetime.now()) + now_n = now_n.replace(' ', '_') + now_n = now_n.replace(':', '_') + now = now_n.replace('.', '_') + + fname = input_file_name + str(now) + ext + + return(fname) + +################################################################################### + +def Tegridy_Any_Pickle_File_Writer(Data, input_file_name='TMIDI_Pickle_File'): + + '''Tegridy Pickle File Writer + + Input: Data to write (I.e. a list) + Full path and file name without extention + + Output: Named Pickle file + + Project Los Angeles + Tegridy Code 2021''' + + print('Tegridy Pickle File Writer') + + full_path_to_output_dataset_to = input_file_name + '.pickle' + + if os.path.exists(full_path_to_output_dataset_to): + os.remove(full_path_to_output_dataset_to) + print('Removing old Dataset...') + else: + print("Creating new Dataset file...") + + with open(full_path_to_output_dataset_to, 'wb') as filehandle: + # store the data as binary data stream + pickle.dump(Data, filehandle, protocol=pickle.HIGHEST_PROTOCOL) + + print('Dataset was saved as:', full_path_to_output_dataset_to) + print('Task complete. Enjoy! :)') + +################################################################################### + +def Tegridy_Any_Pickle_File_Reader(input_file_name='TMIDI_Pickle_File', ext='.pickle', verbose=True): + + '''Tegridy Pickle File Loader + + Input: Full path and file name with or without extention + File extension if different from default .pickle + + Output: Standard Python 3 unpickled data object + + Project Los Angeles + Tegridy Code 2021''' + + if verbose: + print('Tegridy Pickle File Loader') + print('Loading the pickle file. Please wait...') + + if os.path.basename(input_file_name).endswith(ext): + fname = input_file_name + + else: + fname = input_file_name + ext + + with open(fname, 'rb') as pickle_file: + content = pickle.load(pickle_file) + + if verbose: + print('Done!') + + return content + +################################################################################### + +# TMIDI X Code is below + +################################################################################### + +def Optimus_MIDI_TXT_Processor(MIDI_file, + line_by_line_output=True, + chordify_TXT=False, + dataset_MIDI_events_time_denominator=1, + output_velocity=True, + output_MIDI_channels = False, + MIDI_channel=0, + MIDI_patch=[0, 1], + char_offset = 30000, + transpose_by = 0, + flip=False, + melody_conditioned_encoding=False, + melody_pitch_baseline = 0, + number_of_notes_to_sample = -1, + sampling_offset_from_start = 0, + karaoke=False, + karaoke_language_encoding='utf-8', + song_name='Song', + perfect_timings=False, + musenet_encoding=False, + transform=0, + zero_token=False, + reset_timings=False): + + '''Project Los Angeles + Tegridy Code 2021''' + +########### + + debug = False + + ev = 0 + + chords_list_final = [] + chords_list = [] + events_matrix = [] + melody = [] + melody1 = [] + + itrack = 1 + + min_note = 0 + max_note = 0 + ev = 0 + patch = 0 + + score = [] + rec_event = [] + + txt = '' + txtc = '' + chords = [] + melody_chords = [] + + karaoke_events_matrix = [] + karaokez = [] + + sample = 0 + start_sample = 0 + + bass_melody = [] + + INTS = [] + bints = 0 + +########### + + def list_average(num): + sum_num = 0 + for t in num: + sum_num = sum_num + t + + avg = sum_num / len(num) + return avg + +########### + + #print('Loading MIDI file...') + midi_file = open(MIDI_file, 'rb') + if debug: print('Processing File:', MIDI_file) + + try: + opus = midi2opus(midi_file.read()) + + except: + print('Problematic MIDI. Skipping...') + print('File name:', MIDI_file) + midi_file.close() + return txt, melody, chords + + midi_file.close() + + score1 = to_millisecs(opus) + score2 = opus2score(score1) + + # score2 = opus2score(opus) # TODO Improve score timings when it will be possible. + + if MIDI_channel == 16: # Process all MIDI channels + score = score2 + + if MIDI_channel >= 0 and MIDI_channel <= 15: # Process only a selected single MIDI channel + score = grep(score2, [MIDI_channel]) + + if MIDI_channel == -1: # Process all channels except drums (except channel 9) + score = grep(score2, [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15]) + + #print('Reading all MIDI events from the MIDI file...') + while itrack < len(score): + for event in score[itrack]: + + if perfect_timings: + if event[0] == 'note': + event[1] = round(event[1], -1) + event[2] = round(event[2], -1) + + if event[0] == 'text_event' or event[0] == 'lyric' or event[0] == 'note': + if perfect_timings: + event[1] = round(event[1], -1) + karaokez.append(event) + + if event[0] == 'text_event' or event[0] == 'lyric': + if perfect_timings: + event[1] = round(event[1], -1) + try: + event[2] = str(event[2].decode(karaoke_language_encoding, 'replace')).replace('/', '').replace(' ', '').replace('\\', '') + except: + event[2] = str(event[2]).replace('/', '').replace(' ', '').replace('\\', '') + continue + karaoke_events_matrix.append(event) + + if event[0] == 'patch_change': + patch = event[3] + + if event[0] == 'note' and patch in MIDI_patch: + if len(event) == 6: # Checking for bad notes... + eve = copy.deepcopy(event) + + eve[1] = int(event[1] / dataset_MIDI_events_time_denominator) + eve[2] = int(event[2] / dataset_MIDI_events_time_denominator) + + eve[4] = int(event[4] + transpose_by) + + if flip == True: + eve[4] = int(127 - (event[4] + transpose_by)) + + if number_of_notes_to_sample > -1: + if sample <= number_of_notes_to_sample: + if start_sample >= sampling_offset_from_start: + events_matrix.append(eve) + sample += 1 + ev += 1 + else: + start_sample += 1 + + else: + events_matrix.append(eve) + ev += 1 + start_sample += 1 + + itrack +=1 # Going to next track... + + #print('Doing some heavy pythonic sorting...Please stand by...') + + fn = os.path.basename(MIDI_file) + song_name = song_name.replace(' ', '_').replace('=', '_').replace('\'', '-') + if song_name == 'Song': + sng_name = fn.split('.')[0].replace(' ', '_').replace('=', '_').replace('\'', '-') + song_name = sng_name + + # Zero token + if zero_token: + txt += chr(char_offset) + chr(char_offset) + if output_MIDI_channels: + txt += chr(char_offset) + if output_velocity: + txt += chr(char_offset) + chr(char_offset) + else: + txt += chr(char_offset) + + txtc += chr(char_offset) + chr(char_offset) + if output_MIDI_channels: + txtc += chr(char_offset) + if output_velocity: + txtc += chr(char_offset) + chr(char_offset) + else: + txtc += chr(char_offset) + + txt += '=' + song_name + '_with_' + str(len(events_matrix)-1) + '_notes' + txtc += '=' + song_name + '_with_' + str(len(events_matrix)-1) + '_notes' + + else: + # Song stamp + txt += 'SONG=' + song_name + '_with_' + str(len(events_matrix)-1) + '_notes' + txtc += 'SONG=' + song_name + '_with_' + str(len(events_matrix)-1) + '_notes' + + if line_by_line_output: + txt += chr(10) + txtc += chr(10) + else: + txt += chr(32) + txtc += chr(32) + + #print('Sorting input by start time...') + events_matrix.sort(key=lambda x: x[1]) # Sorting input by start time + + #print('Timings converter') + if reset_timings: + ev_matrix = Tegridy_Timings_Converter(events_matrix)[0] + else: + ev_matrix = events_matrix + + chords.extend(ev_matrix) + #print(chords) + + #print('Extracting melody...') + melody_list = [] + + #print('Grouping by start time. This will take a while...') + values = set(map(lambda x:x[1], ev_matrix)) # Non-multithreaded function version just in case + + groups = [[y for y in ev_matrix if y[1]==x and len(y) == 6] for x in values] # Grouping notes into chords while discarting bad notes... + + #print('Sorting events...') + for items in groups: + + items.sort(reverse=True, key=lambda x: x[4]) # Sorting events by pitch + + if melody_conditioned_encoding: items[0][3] = 0 # Melody should always bear MIDI Channel 0 for code to work + + melody_list.append(items[0]) # Creating final melody list + melody_chords.append(items) # Creating final chords list + bass_melody.append(items[-1]) # Creating final bass melody list + + # [WIP] Melody-conditioned chords list + if melody_conditioned_encoding == True: + if not karaoke: + + previous_event = copy.deepcopy(melody_chords[0][0]) + + for ev in melody_chords: + hp = True + ev.sort(reverse=False, key=lambda x: x[4]) # Sorting chord events by pitch + for event in ev: + + # Computing events details + start_time = int(abs(event[1] - previous_event[1])) + + duration = int(previous_event[2]) + + if hp == True: + if int(previous_event[4]) >= melody_pitch_baseline: + channel = int(0) + hp = False + else: + channel = int(previous_event[3]+1) + hp = False + else: + channel = int(previous_event[3]+1) + hp = False + + pitch = int(previous_event[4]) + + velocity = int(previous_event[5]) + + # Writing INTergerS... + try: + INTS.append([(start_time)+char_offset, (duration)+char_offset, channel+char_offset, pitch+char_offset, velocity+char_offset]) + except: + bints += 1 + + # Converting to TXT if possible... + try: + txtc += str(chr(start_time + char_offset)) + txtc += str(chr(duration + char_offset)) + txtc += str(chr(pitch + char_offset)) + if output_velocity: + txtc += str(chr(velocity + char_offset)) + if output_MIDI_channels: + txtc += str(chr(channel + char_offset)) + + if line_by_line_output: + + + txtc += chr(10) + else: + + txtc += chr(32) + + previous_event = copy.deepcopy(event) + + except: + # print('Problematic MIDI event! Skipping...') + continue + + if not line_by_line_output: + txtc += chr(10) + + txt = txtc + chords = melody_chords + + # Default stuff (not melody-conditioned/not-karaoke) + else: + if not karaoke: + melody_chords.sort(reverse=False, key=lambda x: x[0][1]) + mel_chords = [] + for mc in melody_chords: + mel_chords.extend(mc) + + if transform != 0: + chords = Tegridy_Transform(mel_chords, transform) + else: + chords = mel_chords + + # TXT Stuff + previous_event = copy.deepcopy(chords[0]) + for event in chords: + + # Computing events details + start_time = int(abs(event[1] - previous_event[1])) + + duration = int(previous_event[2]) + + channel = int(previous_event[3]) + + pitch = int(previous_event[4] + transpose_by) + if flip == True: + pitch = 127 - int(previous_event[4] + transpose_by) + + velocity = int(previous_event[5]) + + # Writing INTergerS... + try: + INTS.append([(start_time)+char_offset, (duration)+char_offset, channel+char_offset, pitch+char_offset, velocity+char_offset]) + except: + bints += 1 + + # Converting to TXT if possible... + try: + txt += str(chr(start_time + char_offset)) + txt += str(chr(duration + char_offset)) + txt += str(chr(pitch + char_offset)) + if output_velocity: + txt += str(chr(velocity + char_offset)) + if output_MIDI_channels: + txt += str(chr(channel + char_offset)) + + + if chordify_TXT == True and int(event[1] - previous_event[1]) == 0: + txt += '' + else: + if line_by_line_output: + txt += chr(10) + else: + txt += chr(32) + + previous_event = copy.deepcopy(event) + + except: + # print('Problematic MIDI event. Skipping...') + continue + + if not line_by_line_output: + txt += chr(10) + + # Karaoke stuff + if karaoke: + + melody_chords.sort(reverse=False, key=lambda x: x[0][1]) + mel_chords = [] + for mc in melody_chords: + mel_chords.extend(mc) + + if transform != 0: + chords = Tegridy_Transform(mel_chords, transform) + else: + chords = mel_chords + + previous_event = copy.deepcopy(chords[0]) + for event in chords: + + # Computing events details + start_time = int(abs(event[1] - previous_event[1])) + + duration = int(previous_event[2]) + + channel = int(previous_event[3]) + + pitch = int(previous_event[4] + transpose_by) + + velocity = int(previous_event[5]) + + # Converting to TXT + txt += str(chr(start_time + char_offset)) + txt += str(chr(duration + char_offset)) + txt += str(chr(pitch + char_offset)) + + txt += str(chr(velocity + char_offset)) + txt += str(chr(channel + char_offset)) + + if start_time > 0: + for k in karaoke_events_matrix: + if event[1] == k[1]: + txt += str('=') + txt += str(k[2]) + break + + if line_by_line_output: + txt += chr(10) + else: + txt += chr(32) + + previous_event = copy.deepcopy(event) + + if not line_by_line_output: + txt += chr(10) + + # Final processing code... + # ======================================================================= + + # Helper aux/backup function for Karaoke + karaokez.sort(reverse=False, key=lambda x: x[1]) + + # MuseNet sorting + if musenet_encoding and not melody_conditioned_encoding and not karaoke: + chords.sort(key=lambda x: (x[1], x[3])) + + # Final melody sort + melody_list.sort() + + # auxs for future use + aux1 = [None] + aux2 = [None] + + return txt, melody_list, chords, bass_melody, karaokez, INTS, aux1, aux2 # aux1 and aux2 are not used atm + +################################################################################### + +def Optimus_TXT_to_Notes_Converter(Optimus_TXT_String, + line_by_line_dataset = True, + has_velocities = True, + has_MIDI_channels = True, + dataset_MIDI_events_time_denominator = 1, + char_encoding_offset = 30000, + save_only_first_composition = True, + simulate_velocity=True, + karaoke=False, + zero_token=False): + + '''Project Los Angeles + Tegridy Code 2020''' + + print('Tegridy Optimus TXT to Notes Converter') + print('Converting TXT to Notes list...Please wait...') + + song_name = '' + + if line_by_line_dataset: + input_string = Optimus_TXT_String.split('\n') + else: + input_string = Optimus_TXT_String.split(' ') + + if line_by_line_dataset: + name_string = Optimus_TXT_String.split('\n')[0].split('=') + else: + name_string = Optimus_TXT_String.split(' ')[0].split('=') + + # Zero token + zt = '' + + zt += chr(char_encoding_offset) + chr(char_encoding_offset) + + if has_MIDI_channels: + zt += chr(char_encoding_offset) + + if has_velocities: + zt += chr(char_encoding_offset) + chr(char_encoding_offset) + + else: + zt += chr(char_encoding_offset) + + if zero_token: + if name_string[0] == zt: + song_name = name_string[1] + + else: + if name_string[0] == 'SONG': + song_name = name_string[1] + + output_list = [] + st = 0 + + for i in range(2, len(input_string)-1): + + if save_only_first_composition: + if zero_token: + if input_string[i].split('=')[0] == zt: + + song_name = name_string[1] + break + + else: + if input_string[i].split('=')[0] == 'SONG': + + song_name = name_string[1] + break + try: + istring = input_string[i] + + if has_MIDI_channels == False: + step = 4 + + if has_MIDI_channels == True: + step = 5 + + if has_velocities == False: + step -= 1 + + st += int(ord(istring[0]) - char_encoding_offset) * dataset_MIDI_events_time_denominator + + if not karaoke: + for s in range(0, len(istring), step): + if has_MIDI_channels==True: + if step > 3 and len(istring) > 2: + out = [] + out.append('note') + + out.append(st) # Start time + + out.append(int(ord(istring[s+1]) - char_encoding_offset) * dataset_MIDI_events_time_denominator) # Duration + + if has_velocities: + out.append(int(ord(istring[s+4]) - char_encoding_offset)) # Channel + else: + out.append(int(ord(istring[s+3]) - char_encoding_offset)) # Channel + + out.append(int(ord(istring[s+2]) - char_encoding_offset)) # Pitch + + if simulate_velocity: + if s == 0: + sim_vel = int(ord(istring[s+2]) - char_encoding_offset) + out.append(sim_vel) # Simulated Velocity (= highest note's pitch) + else: + out.append(int(ord(istring[s+3]) - char_encoding_offset)) # Velocity + + if has_MIDI_channels==False: + if step > 3 and len(istring) > 2: + out = [] + out.append('note') + + out.append(st) # Start time + out.append(int(ord(istring[s+1]) - char_encoding_offset) * dataset_MIDI_events_time_denominator) # Duration + out.append(0) # Channel + out.append(int(ord(istring[s+2]) - char_encoding_offset)) # Pitch + + if simulate_velocity: + if s == 0: + sim_vel = int(ord(istring[s+2]) - char_encoding_offset) + out.append(sim_vel) # Simulated Velocity (= highest note's pitch) + else: + out.append(int(ord(istring[s+3]) - char_encoding_offset)) # Velocity + + if step == 3 and len(istring) > 2: + out = [] + out.append('note') + + out.append(st) # Start time + out.append(int(ord(istring[s+1]) - char_encoding_offset) * dataset_MIDI_events_time_denominator) # Duration + out.append(0) # Channel + out.append(int(ord(istring[s+2]) - char_encoding_offset)) # Pitch + + out.append(int(ord(istring[s+2]) - char_encoding_offset)) # Velocity = Pitch + + output_list.append(out) + + if karaoke: + try: + out = [] + out.append('note') + + out.append(st) # Start time + out.append(int(ord(istring[1]) - char_encoding_offset) * dataset_MIDI_events_time_denominator) # Duration + out.append(int(ord(istring[4]) - char_encoding_offset)) # Channel + out.append(int(ord(istring[2]) - char_encoding_offset)) # Pitch + + if simulate_velocity: + if s == 0: + sim_vel = int(ord(istring[2]) - char_encoding_offset) + out.append(sim_vel) # Simulated Velocity (= highest note's pitch) + else: + out.append(int(ord(istring[3]) - char_encoding_offset)) # Velocity + output_list.append(out) + out = [] + if istring.split('=')[1] != '': + out.append('lyric') + out.append(st) + out.append(istring.split('=')[1]) + output_list.append(out) + except: + continue + + + except: + print('Bad note string:', istring) + continue + + # Simple error control just in case + S = [] + for x in output_list: + if len(x) == 6 or len(x) == 3: + S.append(x) + + output_list.clear() + output_list = copy.deepcopy(S) + + + print('Task complete! Enjoy! :)') + + return output_list, song_name + +################################################################################### + +def Optimus_Data2TXT_Converter(data, + dataset_time_denominator=1, + transpose_by = 0, + char_offset = 33, + line_by_line_output = True, + output_velocity = False, + output_MIDI_channels = False): + + + '''Input: data as a flat chords list of flat chords lists + + Output: TXT string + INTs + + Project Los Angeles + Tegridy Code 2021''' + + txt = '' + TXT = '' + + quit = False + counter = 0 + + INTs = [] + INTs_f = [] + + for d in tqdm.tqdm(sorted(data)): + + if quit == True: + break + + txt = 'SONG=' + str(counter) + counter += 1 + + if line_by_line_output: + txt += chr(10) + else: + txt += chr(32) + + INTs = [] + + # TXT Stuff + previous_event = copy.deepcopy(d[0]) + for event in sorted(d): + + # Computing events details + start_time = int(abs(event[1] - previous_event[1]) / dataset_time_denominator) + + duration = int(previous_event[2] / dataset_time_denominator) + + channel = int(previous_event[3]) + + pitch = int(previous_event[4] + transpose_by) + + velocity = int(previous_event[5]) + + INTs.append([start_time, duration, pitch]) + + # Converting to TXT if possible... + try: + txt += str(chr(start_time + char_offset)) + txt += str(chr(duration + char_offset)) + txt += str(chr(pitch + char_offset)) + if output_velocity: + txt += str(chr(velocity + char_offset)) + if output_MIDI_channels: + txt += str(chr(channel + char_offset)) + + if line_by_line_output: + txt += chr(10) + else: + txt += chr(32) + + previous_event = copy.deepcopy(event) + except KeyboardInterrupt: + quit = True + break + except: + print('Problematic MIDI data. Skipping...') + continue + + if not line_by_line_output: + txt += chr(10) + + TXT += txt + INTs_f.extend(INTs) + + return TXT, INTs_f + +################################################################################### + +def Optimus_Squash(chords_list, simulate_velocity=True, mono_compression=False): + + '''Input: Flat chords list + Simulate velocity or not + Mono-compression enabled or disabled + + Default is almost lossless 25% compression, otherwise, lossy 50% compression (mono-compression) + + Output: Squashed chords list + Resulting compression level + + Please note that if drums are passed through as is + + Project Los Angeles + Tegridy Code 2021''' + + output = [] + ptime = 0 + vel = 0 + boost = 15 + stptc = [] + ocount = 0 + rcount = 0 + + for c in chords_list: + + cc = copy.deepcopy(c) + ocount += 1 + + if [cc[1], cc[3], (cc[4] % 12) + 60] not in stptc: + stptc.append([cc[1], cc[3], (cc[4] % 12) + 60]) + + if cc[3] != 9: + cc[4] = (c[4] % 12) + 60 + + if simulate_velocity and c[1] != ptime: + vel = c[4] + boost + + if cc[3] != 9: + cc[5] = vel + + if mono_compression: + if c[1] != ptime: + output.append(cc) + rcount += 1 + else: + output.append(cc) + rcount += 1 + + ptime = c[1] + + output.sort(key=lambda x: (x[1], x[4])) + + comp_level = 100 - int((rcount * 100) / ocount) + + return output, comp_level + +################################################################################### + +def Optimus_Signature(chords_list, calculate_full_signature=False): + + '''Optimus Signature + + ---In the name of the search for a perfect score slice signature--- + + Input: Flat chords list to evaluate + + Output: Full Optimus Signature as a list + Best/recommended Optimus Signature as a list + + Project Los Angeles + Tegridy Code 2021''' + + # Pitches + + ## StDev + if calculate_full_signature: + psd = statistics.stdev([int(y[4]) for y in chords_list]) + else: + psd = 0 + + ## Median + pmh = statistics.median_high([int(y[4]) for y in chords_list]) + pm = statistics.median([int(y[4]) for y in chords_list]) + pml = statistics.median_low([int(y[4]) for y in chords_list]) + + ## Mean + if calculate_full_signature: + phm = statistics.harmonic_mean([int(y[4]) for y in chords_list]) + else: + phm = 0 + + # Durations + dur = statistics.median([int(y[2]) for y in chords_list]) + + # Velocities + + vel = statistics.median([int(y[5]) for y in chords_list]) + + # Beats + mtds = statistics.median([int(abs(chords_list[i-1][1]-chords_list[i][1])) for i in range(1, len(chords_list))]) + if calculate_full_signature: + hmtds = statistics.harmonic_mean([int(abs(chords_list[i-1][1]-chords_list[i][1])) for i in range(1, len(chords_list))]) + else: + hmtds = 0 + + # Final Optimus signatures + full_Optimus_signature = [round(psd), round(pmh), round(pm), round(pml), round(phm), round(dur), round(vel), round(mtds), round(hmtds)] + ######################## PStDev PMedianH PMedian PMedianL PHarmoMe Duration Velocity Beat HarmoBeat + + best_Optimus_signature = [round(pmh), round(pm), round(pml), round(dur, -1), round(vel, -1), round(mtds, -1)] + ######################## PMedianH PMedian PMedianL Duration Velocity Beat + + # Return... + return full_Optimus_signature, best_Optimus_signature + + +################################################################################### +# +# TMIDI 2.0 Helper functions +# +################################################################################### + +def Tegridy_FastSearch(needle, haystack, randomize = False): + + ''' + + Input: Needle iterable + Haystack iterable + Randomize search range (this prevents determinism) + + Output: Start index of the needle iterable in a haystack iterable + If nothing found, -1 is returned + + Project Los Angeles + Tegridy Code 2021''' + + need = copy.deepcopy(needle) + + try: + if randomize: + idx = haystack.index(need, secrets.randbelow(len(haystack)-len(need))) + else: + idx = haystack.index(need) + + except KeyboardInterrupt: + return -1 + + except: + return -1 + + return idx + +################################################################################### + +def Tegridy_Chord_Match(chord1, chord2, match_type=2): + + '''Tegridy Chord Match + + Input: Two chords to evaluate + Match type: 2 = duration, channel, pitch, velocity + 3 = channel, pitch, velocity + 4 = pitch, velocity + 5 = velocity + + Output: Match rating (0-100) + NOTE: Match rating == -1 means identical source chords + NOTE: Match rating == 100 means mutual shortest chord + + Project Los Angeles + Tegridy Code 2021''' + + match_rating = 0 + + if chord1 == []: + return 0 + if chord2 == []: + return 0 + + if chord1 == chord2: + return -1 + + else: + zipped_pairs = list(zip(chord1, chord2)) + zipped_diff = abs(len(chord1) - len(chord2)) + + short_match = [False] + for pair in zipped_pairs: + cho1 = ' '.join([str(y) for y in pair[0][match_type:]]) + cho2 = ' '.join([str(y) for y in pair[1][match_type:]]) + if cho1 == cho2: + short_match.append(True) + else: + short_match.append(False) + + if True in short_match: + return 100 + + pairs_ratings = [] + + for pair in zipped_pairs: + cho1 = ' '.join([str(y) for y in pair[0][match_type:]]) + cho2 = ' '.join([str(y) for y in pair[1][match_type:]]) + pairs_ratings.append(SM(None, cho1, cho2).ratio()) + + match_rating = sum(pairs_ratings) / len(pairs_ratings) * 100 + + return match_rating + +################################################################################### + +def Tegridy_Last_Chord_Finder(chords_list): + + '''Tegridy Last Chord Finder + + Input: Flat chords list + + Output: Last detected chord of the chords list + Last chord start index in the original chords list + First chord end index in the original chords list + + Project Los Angeles + Tegridy Code 2021''' + + chords = [] + cho = [] + + ptime = 0 + + i = 0 + + pc_idx = 0 + fc_idx = 0 + + chords_list.sort(reverse=False, key=lambda x: x[1]) + + for cc in chords_list: + + if cc[1] == ptime: + + cho.append(cc) + + ptime = cc[1] + + else: + if pc_idx == 0: + fc_idx = chords_list.index(cc) + pc_idx = chords_list.index(cc) + + chords.append(cho) + + cho = [] + + cho.append(cc) + + ptime = cc[1] + + i += 1 + + if cho != []: + chords.append(cho) + i += 1 + + return chords_list[pc_idx:], pc_idx, fc_idx + +################################################################################### + +def Tegridy_Chords_Generator(chords_list, shuffle_pairs = True, remove_single_notes=False): + + '''Tegridy Score Chords Pairs Generator + + Input: Flat chords list + Shuffle pairs (recommended) + + Output: List of chords + + Average time(ms) per chord + Average time(ms) per pitch + Average chords delta time + + Average duration + Average channel + Average pitch + Average velocity + + Project Los Angeles + Tegridy Code 2021''' + + chords = [] + cho = [] + + i = 0 + + # Sort by start time + chords_list.sort(reverse=False, key=lambda x: x[1]) + + # Main loop + pcho = chords_list[0] + for cc in chords_list: + if cc[1] == pcho[1]: + + cho.append(cc) + pcho = copy.deepcopy(cc) + + else: + if not remove_single_notes: + chords.append(cho) + cho = [] + cho.append(cc) + pcho = copy.deepcopy(cc) + + i += 1 + else: + if len(cho) > 1: + chords.append(cho) + cho = [] + cho.append(cc) + pcho = copy.deepcopy(cc) + + i += 1 + + # Averages + t0 = chords[0][0][1] + t1 = chords[-1][-1][1] + tdel = abs(t1 - t0) + avg_ms_per_chord = int(tdel / i) + avg_ms_per_pitch = int(tdel / len(chords_list)) + + # Delta time + tds = [int(abs(chords_list[i-1][1]-chords_list[i][1]) / 1) for i in range(1, len(chords_list))] + if len(tds) != 0: avg_delta_time = int(sum(tds) / len(tds)) + + # Chords list attributes + p = int(sum([int(y[4]) for y in chords_list]) / len(chords_list)) + d = int(sum([int(y[2]) for y in chords_list]) / len(chords_list)) + c = int(sum([int(y[3]) for y in chords_list]) / len(chords_list)) + v = int(sum([int(y[5]) for y in chords_list]) / len(chords_list)) + + # Final shuffle + if shuffle_pairs: + random.shuffle(chords) + + return chords, [avg_ms_per_chord, avg_ms_per_pitch, avg_delta_time], [d, c, p, v] + +################################################################################### + +def Tegridy_Chords_List_Music_Features(chords_list, st_dur_div = 1, pitch_div = 1, vel_div = 1): + + '''Tegridy Chords List Music Features + + Input: Flat chords list + + Output: A list of the extracted chords list's music features + + Project Los Angeles + Tegridy Code 2021''' + + chords_list1 = [x for x in chords_list if x] + chords_list1.sort(reverse=False, key=lambda x: x[1]) + + # Features extraction code + + melody_list = [] + bass_melody = [] + melody_chords = [] + mel_avg_tds = [] + mel_chrd_avg_tds = [] + bass_melody_avg_tds = [] + + #print('Grouping by start time. This will take a while...') + values = set(map(lambda x:x[1], chords_list1)) # Non-multithreaded function version just in case + + groups = [[y for y in chords_list1 if y[1]==x and len(y) == 6] for x in values] # Grouping notes into chords while discarting bad notes... + + #print('Sorting events...') + for items in groups: + items.sort(reverse=True, key=lambda x: x[4]) # Sorting events by pitch + melody_list.append(items[0]) # Creating final melody list + melody_chords.append(items) # Creating final chords list + bass_melody.append(items[-1]) # Creating final bass melody list + + #print('Final sorting by start time...') + melody_list.sort(reverse=False, key=lambda x: x[1]) # Sorting events by start time + melody_chords.sort(reverse=False, key=lambda x: x[0][1]) # Sorting events by start time + bass_melody.sort(reverse=False, key=lambda x: x[1]) # Sorting events by start time + + # Extracting music features from the chords list + + # Melody features + mel_avg_pitch = int(sum([y[4] for y in melody_list]) / len(melody_list) / pitch_div) + mel_avg_dur = int(sum([int(y[2] / st_dur_div) for y in melody_list]) / len(melody_list)) + mel_avg_vel = int(sum([int(y[5] / vel_div) for y in melody_list]) / len(melody_list)) + mel_avg_chan = int(sum([int(y[3]) for y in melody_list]) / len(melody_list)) + + mel_tds = [int(abs(melody_list[i-1][1]-melody_list[i][1])) for i in range(1, len(melody_list))] + if len(mel_tds) != 0: mel_avg_tds = int(sum(mel_tds) / len(mel_tds) / st_dur_div) + + melody_features = [mel_avg_tds, mel_avg_dur, mel_avg_chan, mel_avg_pitch, mel_avg_vel] + + # Chords list features + mel_chrd_avg_pitch = int(sum([y[4] for y in chords_list1]) / len(chords_list1) / pitch_div) + mel_chrd_avg_dur = int(sum([int(y[2] / st_dur_div) for y in chords_list1]) / len(chords_list1)) + mel_chrd_avg_vel = int(sum([int(y[5] / vel_div) for y in chords_list1]) / len(chords_list1)) + mel_chrd_avg_chan = int(sum([int(y[3]) for y in chords_list1]) / len(chords_list1)) + + mel_chrd_tds = [int(abs(chords_list1[i-1][1]-chords_list1[i][1])) for i in range(1, len(chords_list1))] + if len(mel_tds) != 0: mel_chrd_avg_tds = int(sum(mel_chrd_tds) / len(mel_chrd_tds) / st_dur_div) + + chords_list_features = [mel_chrd_avg_tds, mel_chrd_avg_dur, mel_chrd_avg_chan, mel_chrd_avg_pitch, mel_chrd_avg_vel] + + # Bass melody features + bass_melody_avg_pitch = int(sum([y[4] for y in bass_melody]) / len(bass_melody) / pitch_div) + bass_melody_avg_dur = int(sum([int(y[2] / st_dur_div) for y in bass_melody]) / len(bass_melody)) + bass_melody_avg_vel = int(sum([int(y[5] / vel_div) for y in bass_melody]) / len(bass_melody)) + bass_melody_avg_chan = int(sum([int(y[3]) for y in bass_melody]) / len(bass_melody)) + + bass_melody_tds = [int(abs(bass_melody[i-1][1]-bass_melody[i][1])) for i in range(1, len(bass_melody))] + if len(bass_melody_tds) != 0: bass_melody_avg_tds = int(sum(bass_melody_tds) / len(bass_melody_tds) / st_dur_div) + + bass_melody_features = [bass_melody_avg_tds, bass_melody_avg_dur, bass_melody_avg_chan, bass_melody_avg_pitch, bass_melody_avg_vel] + + # A list to return all features + music_features = [] + + music_features.extend([len(chords_list1)]) # Count of the original chords list notes + + music_features.extend(melody_features) # Extracted melody features + music_features.extend(chords_list_features) # Extracted chords list features + music_features.extend(bass_melody_features) # Extracted bass melody features + music_features.extend([sum([y[4] for y in chords_list1])]) # Sum of all pitches in the original chords list + + return music_features + +################################################################################### + +def Tegridy_Transform(chords_list, to_pitch=60, to_velocity=-1): + + '''Tegridy Transform + + Input: Flat chords list + Desired average pitch (-1 == no change) + Desired average velocity (-1 == no change) + + Output: Transformed flat chords list + + Project Los Angeles + Tegridy Code 2021''' + + transformed_chords_list = [] + + chords_list.sort(reverse=False, key=lambda x: x[1]) + + chords_list_features = Optimus_Signature(chords_list)[1] + + pitch_diff = int((chords_list_features[0] + chords_list_features[1] + chords_list_features[2]) / 3) - to_pitch + velocity_diff = chords_list_features[4] - to_velocity + + for c in chords_list: + cc = copy.deepcopy(c) + if c[3] != 9: # Except the drums + if to_pitch != -1: + cc[4] = c[4] - pitch_diff + + if to_velocity != -1: + cc[5] = c[5] - velocity_diff + + transformed_chords_list.append(cc) + + return transformed_chords_list + +################################################################################### + +def Tegridy_MIDI_Zip_Notes_Summarizer(chords_list, match_type = 4): + + '''Tegridy MIDI Zip Notes Summarizer + + Input: Flat chords list / SONG + Match type according to 'note' event of MIDI.py + + Output: Summarized chords list + Number of summarized notes + Number of dicarted notes + + Project Los Angeles + Tegridy Code 2021''' + + i = 0 + j = 0 + out1 = [] + pout = [] + + + for o in chords_list: + + # MIDI Zip + + if o[match_type:] not in pout: + pout.append(o[match_type:]) + + out1.append(o) + j += 1 + + else: + i += 1 + + return out1, i + +################################################################################### + +def Tegridy_Score_Chords_Pairs_Generator(chords_list, shuffle_pairs = True, remove_single_notes=False): + + '''Tegridy Score Chords Pairs Generator + + Input: Flat chords list + Shuffle pairs (recommended) + + Output: Score chords pairs list + Number of created pairs + Number of detected chords + + Project Los Angeles + Tegridy Code 2021''' + + chords = [] + cho = [] + + i = 0 + j = 0 + + chords_list.sort(reverse=False, key=lambda x: x[1]) + pcho = chords_list[0] + for cc in chords_list: + if cc[1] == pcho[1]: + + cho.append(cc) + pcho = copy.deepcopy(cc) + + else: + if not remove_single_notes: + chords.append(cho) + cho = [] + cho.append(cc) + pcho = copy.deepcopy(cc) + + i += 1 + else: + if len(cho) > 1: + chords.append(cho) + cho = [] + cho.append(cc) + pcho = copy.deepcopy(cc) + + i += 1 + + chords_pairs = [] + for i in range(len(chords)-1): + chords_pairs.append([chords[i], chords[i+1]]) + j += 1 + if shuffle_pairs: random.shuffle(chords_pairs) + + return chords_pairs, j, i + +################################################################################### + +def Tegridy_Sliced_Score_Pairs_Generator(chords_list, number_of_miliseconds_per_slice=2000, shuffle_pairs = False): + + '''Tegridy Sliced Score Pairs Generator + + Input: Flat chords list + Number of miliseconds per slice + + Output: Sliced score pairs list + Number of created slices + + Project Los Angeles + Tegridy Code 2021''' + + chords = [] + cho = [] + + time = number_of_miliseconds_per_slice + + i = 0 + + chords_list1 = [x for x in chords_list if x] + chords_list1.sort(reverse=False, key=lambda x: x[1]) + pcho = chords_list1[0] + for cc in chords_list1[1:]: + + if cc[1] <= time: + + cho.append(cc) + + else: + if cho != [] and pcho != []: chords.append([pcho, cho]) + pcho = copy.deepcopy(cho) + cho = [] + cho.append(cc) + time += number_of_miliseconds_per_slice + i += 1 + + if cho != [] and pcho != []: + chords.append([pcho, cho]) + pcho = copy.deepcopy(cho) + i += 1 + + if shuffle_pairs: random.shuffle(chords) + + return chords, i + +################################################################################### + +def Tegridy_Timings_Converter(chords_list, + max_delta_time = 1000, + fixed_start_time = 250, + start_time = 0, + start_time_multiplier = 1, + durations_multiplier = 1): + + '''Tegridy Timings Converter + + Input: Flat chords list + Max delta time allowed between notes + Fixed start note time for excessive gaps + + Output: Converted flat chords list + + Project Los Angeles + Tegridy Code 2021''' + + song = chords_list + + song1 = [] + + p = song[0] + + p[1] = start_time + + time = start_time + + delta = [0] + + for i in range(len(song)): + if song[i][0] == 'note': + ss = copy.deepcopy(song[i]) + if song[i][1] != p[1]: + + if abs(song[i][1] - p[1]) > max_delta_time: + time += fixed_start_time + else: + time += abs(song[i][1] - p[1]) + delta.append(abs(song[i][1] - p[1])) + + ss[1] = int(round(time * start_time_multiplier, -1)) + ss[2] = int(round(song[i][2] * durations_multiplier, -1)) + song1.append(ss) + + p = copy.deepcopy(song[i]) + else: + + ss[1] = int(round(time * start_time_multiplier, -1)) + ss[2] = int(round(song[i][2] * durations_multiplier, -1)) + song1.append(ss) + + p = copy.deepcopy(song[i]) + + else: + ss = copy.deepcopy(song[i]) + ss[1] = time + song1.append(ss) + + average_delta_st = int(sum(delta) / len(delta)) + average_duration = int(sum([y[2] for y in song1 if y[0] == 'note']) / len([y[2] for y in song1 if y[0] == 'note'])) + + song1.sort(reverse=False, key=lambda x: x[1]) + + return song1, time, average_delta_st, average_duration + +################################################################################### + +def Tegridy_Score_Slicer(chords_list, number_of_miliseconds_per_slice=2000, overlap_notes = 0, overlap_chords=False): + + '''Tegridy Score Slicer + + Input: Flat chords list + Number of miliseconds per slice + + Output: Sliced chords list + Number of created slices + + Project Los Angeles + Tegridy Code 2021''' + + chords = [] + cho = [] + + time = number_of_miliseconds_per_slice + ptime = 0 + + i = 0 + + pc_idx = 0 + + chords_list.sort(reverse=False, key=lambda x: x[1]) + + for cc in chords_list: + + if cc[1] <= time: + + cho.append(cc) + + if ptime != cc[1]: + pc_idx = cho.index(cc) + + ptime = cc[1] + + + else: + + if overlap_chords: + chords.append(cho) + cho.extend(chords[-1][pc_idx:]) + + else: + chords.append(cho[:pc_idx]) + + cho = [] + + cho.append(cc) + + time += number_of_miliseconds_per_slice + ptime = cc[1] + + i += 1 + + if cho != []: + chords.append(cho) + i += 1 + + return [x for x in chords if x], i + +################################################################################### + +def Tegridy_TXT_Tokenizer(input_TXT_string, line_by_line_TXT_string=True): + + '''Tegridy TXT Tokenizer + + Input: TXT String + + Output: Tokenized TXT string + forward and reverse dics + + Project Los Angeles + Tegridy Code 2021''' + + print('Tegridy TXT Tokenizer') + + if line_by_line_TXT_string: + T = input_TXT_string.split() + else: + T = input_TXT_string.split(' ') + + DIC = dict(zip(T, range(len(T)))) + RDIC = dict(zip(range(len(T)), T)) + + TXTT = '' + + for t in T: + try: + TXTT += chr(DIC[t]) + except: + print('Error. Could not finish.') + return TXTT, DIC, RDIC + + print('Done!') + + return TXTT, DIC, RDIC + +################################################################################### + +def Tegridy_TXT_DeTokenizer(input_Tokenized_TXT_string, RDIC): + + '''Tegridy TXT Tokenizer + + Input: Tokenized TXT String + + + Output: DeTokenized TXT string + + Project Los Angeles + Tegridy Code 2021''' + + print('Tegridy TXT DeTokenizer') + + Q = list(input_Tokenized_TXT_string) + c = 0 + RTXT = '' + for q in Q: + try: + RTXT += RDIC[ord(q)] + chr(10) + except: + c+=1 + + print('Number of errors:', c) + + print('Done!') + + return RTXT + +################################################################################### + +def Tegridy_List_Slicer(input_list, slices_length_in_notes=20): + + '''Input: List to slice + Desired slices length in notes + + Output: Sliced list of lists + + Project Los Angeles + Tegridy Code 2021''' + + for i in range(0, len(input_list), slices_length_in_notes): + yield input_list[i:i + slices_length_in_notes] + +################################################################################### + +def Tegridy_Split_List(list_to_split, split_value=0): + + # src courtesy of www.geeksforgeeks.org + + # using list comprehension + zip() + slicing + enumerate() + # Split list into lists by particular value + size = len(list_to_split) + idx_list = [idx + 1 for idx, val in + enumerate(list_to_split) if val == split_value] + + + res = [list_to_split[i: j] for i, j in + zip([0] + idx_list, idx_list + + ([size] if idx_list[-1] != size else []))] + + # print result + # print("The list after splitting by a value : " + str(res)) + + return res + +################################################################################### + +# Binary chords functions + +def tones_chord_to_bits(chord, reverse=True): + + bits = [0] * 12 + + for num in chord: + bits[num] = 1 + + if reverse: + bits.reverse() + return bits + + else: + return bits + +def bits_to_tones_chord(bits): + return [i for i, bit in enumerate(bits) if bit == 1] + +def shift_bits(bits, n): + return bits[-n:] + bits[:-n] + +def bits_to_int(bits, shift_bits_value=0): + bits = shift_bits(bits, shift_bits_value) + result = 0 + for bit in bits: + result = (result << 1) | bit + + return result + +def int_to_bits(n): + bits = [0] * 12 + for i in range(12): + bits[11 - i] = n % 2 + n //= 2 + + return bits + +def bad_chord(chord): + bad = any(b - a == 1 for a, b in zip(chord, chord[1:])) + if (0 in chord) and (11 in chord): + bad = True + + return bad + +def pitches_chord_to_int(pitches_chord, tones_transpose_value=0): + + pitches_chord = [x for x in pitches_chord if 0 < x < 128] + + if not (-12 < tones_transpose_value < 12): + tones_transpose_value = 0 + + tones_chord = sorted(list(set([c % 12 for c in sorted(list(set(pitches_chord)))]))) + bits = tones_chord_to_bits(tones_chord) + integer = bits_to_int(bits, shift_bits_value=tones_transpose_value) + + return integer + +def int_to_pitches_chord(integer, chord_base_pitch=60): + if 0 < integer < 4096: + bits = int_to_bits(integer) + tones_chord = bits_to_tones_chord(bits) + if not bad_chord(tones_chord): + pitches_chord = [t+chord_base_pitch for t in tones_chord] + return [pitches_chord, tones_chord] + + else: + return 0 # Bad chord code + + else: + return -1 # Bad integer code + +################################################################################### + +def bad_chord(chord): + bad = any(b - a == 1 for a, b in zip(chord, chord[1:])) + if (0 in chord) and (11 in chord): + bad = True + + return bad + +def validate_pitches_chord(pitches_chord, return_sorted = True): + + pitches_chord = sorted(list(set([x for x in pitches_chord if 0 < x < 128]))) + + tones_chord = sorted(list(set([c % 12 for c in sorted(list(set(pitches_chord)))]))) + + if not bad_chord(tones_chord): + if return_sorted: + pitches_chord.sort(reverse=True) + return pitches_chord + + else: + if 0 in tones_chord and 11 in tones_chord: + tones_chord.remove(0) + + fixed_tones = [[a, b] for a, b in zip(tones_chord, tones_chord[1:]) if b-a != 1] + + fixed_tones_chord = [] + for f in fixed_tones: + fixed_tones_chord.extend(f) + fixed_tones_chord = list(set(fixed_tones_chord)) + + fixed_pitches_chord = [] + + for p in pitches_chord: + if (p % 12) in fixed_tones_chord: + fixed_pitches_chord.append(p) + + if return_sorted: + fixed_pitches_chord.sort(reverse=True) + + return fixed_pitches_chord + +def validate_pitches(chord, channel_to_check = 0, return_sorted = True): + + pitches_chord = sorted(list(set([x[4] for x in chord if 0 < x[4] < 128 and x[3] == channel_to_check]))) + + if pitches_chord: + + tones_chord = sorted(list(set([c % 12 for c in sorted(list(set(pitches_chord)))]))) + + if not bad_chord(tones_chord): + if return_sorted: + chord.sort(key = lambda x: x[4], reverse=True) + return chord + + else: + if 0 in tones_chord and 11 in tones_chord: + tones_chord.remove(0) + + fixed_tones = [[a, b] for a, b in zip(tones_chord, tones_chord[1:]) if b-a != 1] + + fixed_tones_chord = [] + for f in fixed_tones: + fixed_tones_chord.extend(f) + fixed_tones_chord = list(set(fixed_tones_chord)) + + fixed_chord = [] + + for c in chord: + if c[3] == channel_to_check: + if (c[4] % 12) in fixed_tones_chord: + fixed_chord.append(c) + else: + fixed_chord.append(c) + + if return_sorted: + fixed_chord.sort(key = lambda x: x[4], reverse=True) + + return fixed_chord + + else: + chord.sort(key = lambda x: x[4], reverse=True) + return chord + +def adjust_score_velocities(score, max_velocity): + + min_velocity = min([c[5] for c in score]) + max_velocity_all_channels = max([c[5] for c in score]) + min_velocity_ratio = min_velocity / max_velocity_all_channels + + max_channel_velocity = max([c[5] for c in score]) + if max_channel_velocity < min_velocity: + factor = max_velocity / min_velocity + else: + factor = max_velocity / max_channel_velocity + for i in range(len(score)): + score[i][5] = int(score[i][5] * factor) + +def chordify_score(score, + return_choridfied_score=True, + return_detected_score_information=False + ): + + if score: + + num_tracks = 1 + single_track_score = [] + score_num_ticks = 0 + + if type(score[0]) == int and len(score) > 1: + + score_type = 'MIDI_PY' + score_num_ticks = score[0] + + while num_tracks < len(score): + for event in score[num_tracks]: + single_track_score.append(event) + num_tracks += 1 + + else: + score_type = 'CUSTOM' + single_track_score = score + + if single_track_score and single_track_score[0]: + + try: + + if type(single_track_score[0][0]) == str or single_track_score[0][0] == 'note': + single_track_score.sort(key = lambda x: x[1]) + score_timings = [s[1] for s in single_track_score] + else: + score_timings = [s[0] for s in single_track_score] + + is_score_time_absolute = lambda sct: all(x <= y for x, y in zip(sct, sct[1:])) + + score_timings_type = '' + + if is_score_time_absolute(score_timings): + score_timings_type = 'ABS' + + chords = [] + cho = [] + + if score_type == 'MIDI_PY': + pe = single_track_score[0] + else: + pe = single_track_score[0] + + for e in single_track_score: + + if score_type == 'MIDI_PY': + time = e[1] + ptime = pe[1] + else: + time = e[0] + ptime = pe[0] + + if time == ptime: + cho.append(e) + + else: + if len(cho) > 0: + chords.append(cho) + cho = [] + cho.append(e) + + pe = e + + if len(cho) > 0: + chords.append(cho) + + else: + score_timings_type = 'REL' + + chords = [] + cho = [] + + for e in single_track_score: + + if score_type == 'MIDI_PY': + time = e[1] + else: + time = e[0] + + if time == 0: + cho.append(e) + + else: + if len(cho) > 0: + chords.append(cho) + cho = [] + cho.append(e) + + if len(cho) > 0: + chords.append(cho) + + requested_data = [] + + if return_detected_score_information: + + detected_score_information = [] + + detected_score_information.append(['Score type', score_type]) + detected_score_information.append(['Score timings type', score_timings_type]) + detected_score_information.append(['Score tpq', score_num_ticks]) + detected_score_information.append(['Score number of tracks', num_tracks]) + + requested_data.append(detected_score_information) + + if return_choridfied_score and return_detected_score_information: + requested_data.append(chords) + + if return_choridfied_score and not return_detected_score_information: + requested_data.extend(chords) + + return requested_data + + except Exception as e: + print('Error!') + print('Check score for consistency and compatibility!') + print('Exception detected:', e) + + else: + return None + + else: + return None + +def fix_monophonic_score_durations(monophonic_score): + + fixed_score = [] + + if monophonic_score[0][0] == 'note': + + for i in range(len(monophonic_score)-1): + note = monophonic_score[i] + + nmt = monophonic_score[i+1][1] + + if note[1]+note[2] >= nmt: + note_dur = nmt-note[1]-1 + else: + note_dur = note[2] + + new_note = [note[0], note[1], note_dur] + note[3:] + + fixed_score.append(new_note) + + fixed_score.append(monophonic_score[-1]) + + elif type(monophonic_score[0][0]) == int: + + for i in range(len(monophonic_score)-1): + note = monophonic_score[i] + + nmt = monophonic_score[i+1][0] + + if note[0]+note[1] >= nmt: + note_dur = nmt-note[0]-1 + else: + note_dur = note[1] + + new_note = [note[0], note_dur] + note[2:] + + fixed_score.append(new_note) + + fixed_score.append(monophonic_score[-1]) + + return fixed_score + +################################################################################### + +from itertools import product + +ALL_CHORDS = [[0], [7], [5], [9], [2], [4], [11], [10], [8], [6], [3], [1], [0, 9], [2, 5], + [4, 7], [7, 10], [2, 11], [0, 3], [6, 9], [1, 4], [8, 11], [5, 8], [1, 10], + [3, 6], [0, 4], [5, 9], [7, 11], [0, 7], [0, 5], [2, 10], [2, 7], [2, 9], + [2, 6], [4, 11], [4, 9], [3, 7], [5, 10], [1, 9], [0, 8], [6, 11], [3, 11], + [4, 8], [3, 10], [3, 8], [1, 5], [1, 8], [1, 6], [6, 10], [3, 9], [4, 10], + [1, 7], [0, 6], [2, 8], [5, 11], [5, 7], [0, 10], [0, 2], [9, 11], [7, 9], + [2, 4], [4, 6], [3, 5], [8, 10], [6, 8], [1, 3], [1, 11], [2, 7, 11], + [0, 4, 7], [0, 5, 9], [2, 6, 9], [2, 5, 10], [1, 4, 9], [4, 8, 11], [3, 7, 10], + [0, 3, 8], [3, 6, 11], [1, 5, 8], [1, 6, 10], [0, 4, 9], [2, 5, 9], [4, 7, 11], + [2, 7, 10], [2, 6, 11], [0, 3, 7], [0, 5, 8], [1, 4, 8], [1, 6, 9], [3, 8, 11], + [1, 5, 10], [3, 6, 10], [2, 5, 11], [4, 7, 10], [3, 6, 9], [0, 6, 9], + [0, 3, 9], [2, 8, 11], [2, 5, 8], [1, 7, 10], [1, 4, 7], [0, 3, 6], [1, 4, 10], + [5, 8, 11], [2, 5, 7], [0, 7, 10], [0, 2, 9], [0, 3, 5], [6, 9, 11], [4, 7, 9], + [2, 4, 11], [5, 8, 10], [1, 3, 10], [1, 4, 6], [3, 6, 8], [1, 8, 11], + [5, 7, 11], [0, 4, 10], [3, 5, 9], [0, 2, 6], [1, 7, 9], [0, 7, 9], [5, 7, 10], + [2, 8, 10], [3, 9, 11], [0, 2, 5], [2, 4, 8], [2, 4, 7], [0, 2, 7], [2, 7, 9], + [4, 9, 11], [4, 6, 9], [1, 3, 7], [2, 4, 9], [0, 5, 7], [0, 3, 10], [2, 9, 11], + [0, 5, 10], [0, 6, 8], [4, 6, 10], [4, 6, 11], [1, 4, 11], [6, 8, 11], + [1, 5, 11], [1, 6, 11], [1, 8, 10], [1, 6, 8], [3, 5, 8], [3, 8, 10], + [1, 3, 8], [3, 5, 10], [1, 3, 6], [2, 5, 7, 10], [0, 3, 7, 10], [1, 4, 8, 11], + [2, 4, 7, 11], [0, 4, 7, 9], [0, 2, 5, 9], [2, 6, 9, 11], [1, 5, 8, 10], + [0, 3, 5, 8], [3, 6, 8, 11], [1, 3, 6, 10], [1, 4, 6, 9], [1, 5, 9], [0, 4, 8], + [2, 6, 10], [3, 7, 11], [0, 3, 6, 9], [2, 5, 8, 11], [1, 4, 7, 10], + [2, 5, 7, 11], [0, 2, 6, 9], [0, 4, 7, 10], [2, 4, 8, 11], [0, 3, 5, 9], + [1, 4, 7, 9], [3, 6, 9, 11], [2, 5, 8, 10], [1, 4, 6, 10], [0, 3, 6, 8], + [1, 3, 7, 10], [1, 5, 8, 11], [2, 4, 10], [5, 9, 11], [1, 5, 7], [0, 2, 8], + [0, 4, 6], [1, 7, 11], [3, 7, 9], [1, 3, 9], [7, 9, 11], [5, 7, 9], [0, 6, 10], + [0, 2, 10], [2, 6, 8], [0, 2, 4], [4, 8, 10], [1, 9, 11], [2, 4, 6], + [3, 5, 11], [3, 5, 7], [0, 8, 10], [4, 6, 8], [1, 3, 11], [6, 8, 10], + [1, 3, 5], [0, 2, 5, 10], [0, 5, 7, 9], [0, 3, 8, 10], [0, 2, 4, 7], + [4, 6, 8, 11], [3, 5, 7, 10], [2, 7, 9, 11], [2, 4, 6, 9], [1, 6, 8, 10], + [1, 4, 9, 11], [1, 3, 5, 8], [1, 3, 6, 11], [2, 5, 9, 11], [2, 4, 7, 10], + [0, 2, 5, 8], [1, 5, 7, 10], [0, 4, 6, 9], [1, 3, 6, 9], [0, 3, 6, 10], + [2, 6, 8, 11], [0, 2, 7, 9], [1, 4, 8, 10], [0, 3, 7, 9], [3, 5, 8, 11], + [0, 5, 7, 10], [0, 2, 5, 7], [1, 4, 7, 11], [2, 4, 7, 9], [0, 3, 5, 10], + [4, 6, 9, 11], [1, 4, 6, 11], [2, 4, 9, 11], [1, 6, 8, 11], [1, 3, 6, 8], + [1, 3, 8, 10], [3, 5, 8, 10], [4, 7, 9, 11], [0, 2, 7, 10], [2, 5, 7, 9], + [0, 2, 4, 9], [1, 6, 9, 11], [2, 4, 6, 11], [0, 3, 5, 7], [0, 5, 8, 10], + [1, 4, 6, 8], [1, 3, 5, 10], [1, 3, 8, 11], [3, 6, 8, 10], [0, 2, 5, 7, 10], + [0, 2, 4, 7, 9], [0, 2, 5, 7, 9], [1, 3, 7, 9], [1, 4, 6, 9, 11], + [1, 3, 6, 8, 11], [3, 5, 9, 11], [1, 3, 6, 8, 10], [1, 4, 6, 8, 11], + [1, 3, 5, 8, 10], [2, 4, 6, 9, 11], [2, 4, 8, 10], [2, 4, 7, 9, 11], + [0, 3, 5, 7, 10], [1, 5, 7, 11], [0, 2, 6, 8], [0, 3, 5, 8, 10], [0, 4, 6, 10], + [1, 3, 5, 9], [1, 5, 7, 9], [2, 6, 8, 10], [3, 7, 9, 11], [0, 2, 4, 8], + [0, 4, 6, 8], [0, 4, 8, 10], [2, 4, 6, 10], [1, 3, 7, 11], [0, 2, 6, 10], + [1, 5, 9, 11], [3, 5, 7, 11], [1, 7, 9, 11], [0, 2, 4, 6], [1, 3, 9, 11], + [0, 2, 4, 10], [5, 7, 9, 11], [2, 4, 6, 8], [0, 2, 8, 10], [3, 5, 7, 9], + [1, 3, 5, 7], [4, 6, 8, 10], [0, 6, 8, 10], [1, 3, 5, 11], [0, 3, 6, 8, 10], + [0, 2, 4, 6, 9], [1, 4, 7, 9, 11], [2, 4, 6, 8, 11], [1, 3, 6, 9, 11], + [1, 3, 5, 8, 11], [0, 2, 5, 8, 10], [1, 4, 6, 8, 10], [0, 3, 5, 7, 9], + [2, 5, 7, 9, 11], [1, 3, 5, 7, 10], [0, 2, 4, 7, 10], [1, 3, 5, 7, 9], + [1, 3, 5, 9, 11], [1, 5, 7, 9, 11], [1, 3, 7, 9, 11], [3, 5, 7, 9, 11], + [2, 4, 6, 8, 10], [0, 4, 6, 8, 10], [0, 2, 6, 8, 10], [1, 3, 5, 7, 11], + [0, 2, 4, 8, 10], [0, 2, 4, 6, 8], [0, 2, 4, 6, 10], [0, 2, 4, 6, 8, 10], + [1, 3, 5, 7, 9, 11]] + +def find_exact_match_variable_length(list_of_lists, target_list, uncertain_indices): + # Infer possible values for each uncertain index + possible_values = {idx: set() for idx in uncertain_indices} + for sublist in list_of_lists: + for idx in uncertain_indices: + if idx < len(sublist): + possible_values[idx].add(sublist[idx]) + + # Generate all possible combinations for the uncertain elements + uncertain_combinations = product(*(possible_values[idx] for idx in uncertain_indices)) + + for combination in uncertain_combinations: + # Create a copy of the target list and update the uncertain elements + test_list = target_list[:] + for idx, value in zip(uncertain_indices, combination): + test_list[idx] = value + + # Check if the modified target list is an exact match in the list of lists + # Only consider sublists that are at least as long as the target list + for sublist in list_of_lists: + if len(sublist) >= len(test_list) and sublist[:len(test_list)] == test_list: + return sublist # Return the matching sublist + + return None # No exact match found + + +def advanced_validate_chord_pitches(chord, channel_to_check = 0, return_sorted = True): + + pitches_chord = sorted(list(set([x[4] for x in chord if 0 < x[4] < 128 and x[3] == channel_to_check]))) + + if pitches_chord: + + tones_chord = sorted(list(set([c % 12 for c in sorted(list(set(pitches_chord)))]))) + + if not bad_chord(tones_chord): + if return_sorted: + chord.sort(key = lambda x: x[4], reverse=True) + return chord + + else: + bad_chord_indices = list(set([i for s in [[tones_chord.index(a), tones_chord.index(b)] for a, b in zip(tones_chord, tones_chord[1:]) if b-a == 1] for i in s])) + + good_tones_chord = find_exact_match_variable_length(ALL_CHORDS, tones_chord, bad_chord_indices) + + if good_tones_chord is not None: + + fixed_chord = [] + + for c in chord: + if c[3] == channel_to_check: + if (c[4] % 12) in good_tones_chord: + fixed_chord.append(c) + else: + fixed_chord.append(c) + + if return_sorted: + fixed_chord.sort(key = lambda x: x[4], reverse=True) + + else: + + if 0 in tones_chord and 11 in tones_chord: + tones_chord.remove(0) + + fixed_tones = [[a, b] for a, b in zip(tones_chord, tones_chord[1:]) if b-a != 1] + + fixed_tones_chord = [] + for f in fixed_tones: + fixed_tones_chord.extend(f) + fixed_tones_chord = list(set(fixed_tones_chord)) + + fixed_chord = [] + + for c in chord: + if c[3] == channel_to_check: + if (c[4] % 12) in fixed_tones_chord: + fixed_chord.append(c) + else: + fixed_chord.append(c) + + if return_sorted: + fixed_chord.sort(key = lambda x: x[4], reverse=True) + + return fixed_chord + + else: + chord.sort(key = lambda x: x[4], reverse=True) + return chord + +################################################################################### + +def analyze_score_pitches(score, channels_to_analyze=[0]): + + analysis = {} + + score_notes = [s for s in score if s[3] in channels_to_analyze] + + cscore = chordify_score(score_notes) + + chords_tones = [] + + all_tones = [] + + all_chords_good = True + + bad_chords = [] + + for c in cscore: + tones = sorted(list(set([t[4] % 12 for t in c]))) + chords_tones.append(tones) + all_tones.extend(tones) + + if tones not in ALL_CHORDS: + all_chords_good = False + bad_chords.append(tones) + + analysis['Number of notes'] = len(score_notes) + analysis['Number of chords'] = len(cscore) + analysis['Score tones'] = sorted(list(set(all_tones))) + analysis['Shortest chord'] = sorted(min(chords_tones, key=len)) + analysis['Longest chord'] = sorted(max(chords_tones, key=len)) + analysis['All chords good'] = all_chords_good + analysis['Bad chords'] = bad_chords + + return analysis + +################################################################################### + +ALL_CHORDS_GROUPED = [[[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]], + [[0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [0, 8], [0, 9], [0, 10], + [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [1, 8], [1, 9], [1, 10], [1, 11], + [2, 4], [2, 5], [2, 6], [2, 7], [2, 8], [2, 9], [2, 10], [2, 11], [3, 5], + [3, 6], [3, 7], [3, 8], [3, 9], [3, 10], [3, 11], [4, 6], [4, 7], [4, 8], + [4, 9], [4, 10], [4, 11], [5, 7], [5, 8], [5, 9], [5, 10], [5, 11], [6, 8], + [6, 9], [6, 10], [6, 11], [7, 9], [7, 10], [7, 11], [8, 10], [8, 11], + [9, 11]], + [[0, 2, 4], [0, 2, 5], [0, 3, 5], [0, 2, 6], [0, 3, 6], [0, 4, 6], [0, 2, 7], + [0, 3, 7], [0, 4, 7], [0, 5, 7], [0, 2, 8], [0, 3, 8], [0, 4, 8], [0, 5, 8], + [0, 6, 8], [0, 2, 9], [0, 3, 9], [0, 4, 9], [0, 5, 9], [0, 6, 9], [0, 7, 9], + [0, 2, 10], [0, 3, 10], [0, 4, 10], [0, 5, 10], [0, 6, 10], [0, 7, 10], + [0, 8, 10], [1, 3, 5], [1, 3, 6], [1, 4, 6], [1, 3, 7], [1, 4, 7], [1, 5, 7], + [1, 3, 8], [1, 4, 8], [1, 5, 8], [1, 6, 8], [1, 3, 9], [1, 4, 9], [1, 5, 9], + [1, 6, 9], [1, 7, 9], [1, 3, 10], [1, 4, 10], [1, 5, 10], [1, 6, 10], + [1, 7, 10], [1, 8, 10], [1, 3, 11], [1, 4, 11], [1, 5, 11], [1, 6, 11], + [1, 7, 11], [1, 8, 11], [1, 9, 11], [2, 4, 6], [2, 4, 7], [2, 5, 7], + [2, 4, 8], [2, 5, 8], [2, 6, 8], [2, 4, 9], [2, 5, 9], [2, 6, 9], [2, 7, 9], + [2, 4, 10], [2, 5, 10], [2, 6, 10], [2, 7, 10], [2, 8, 10], [2, 4, 11], + [2, 5, 11], [2, 6, 11], [2, 7, 11], [2, 8, 11], [2, 9, 11], [3, 5, 7], + [3, 5, 8], [3, 6, 8], [3, 5, 9], [3, 6, 9], [3, 7, 9], [3, 5, 10], [3, 6, 10], + [3, 7, 10], [3, 8, 10], [3, 5, 11], [3, 6, 11], [3, 7, 11], [3, 8, 11], + [3, 9, 11], [4, 6, 8], [4, 6, 9], [4, 7, 9], [4, 6, 10], [4, 7, 10], + [4, 8, 10], [4, 6, 11], [4, 7, 11], [4, 8, 11], [4, 9, 11], [5, 7, 9], + [5, 7, 10], [5, 8, 10], [5, 7, 11], [5, 8, 11], [5, 9, 11], [6, 8, 10], + [6, 8, 11], [6, 9, 11], [7, 9, 11]], + [[0, 2, 4, 6], [0, 2, 4, 7], [0, 2, 5, 7], [0, 3, 5, 7], [0, 2, 4, 8], + [0, 2, 5, 8], [0, 2, 6, 8], [0, 3, 5, 8], [0, 3, 6, 8], [0, 4, 6, 8], + [0, 2, 4, 9], [0, 2, 5, 9], [0, 2, 6, 9], [0, 2, 7, 9], [0, 3, 5, 9], + [0, 3, 6, 9], [0, 3, 7, 9], [0, 4, 6, 9], [0, 4, 7, 9], [0, 5, 7, 9], + [0, 2, 4, 10], [0, 2, 5, 10], [0, 2, 6, 10], [0, 2, 7, 10], [0, 2, 8, 10], + [0, 3, 5, 10], [0, 3, 6, 10], [0, 3, 7, 10], [0, 3, 8, 10], [0, 4, 6, 10], + [0, 4, 7, 10], [0, 4, 8, 10], [0, 5, 7, 10], [0, 5, 8, 10], [0, 6, 8, 10], + [1, 3, 5, 7], [1, 3, 5, 8], [1, 3, 6, 8], [1, 4, 6, 8], [1, 3, 5, 9], + [1, 3, 6, 9], [1, 3, 7, 9], [1, 4, 6, 9], [1, 4, 7, 9], [1, 5, 7, 9], + [1, 3, 5, 10], [1, 3, 6, 10], [1, 3, 7, 10], [1, 3, 8, 10], [1, 4, 6, 10], + [1, 4, 7, 10], [1, 4, 8, 10], [1, 5, 7, 10], [1, 5, 8, 10], [1, 6, 8, 10], + [1, 3, 5, 11], [1, 3, 6, 11], [1, 3, 7, 11], [1, 3, 8, 11], [1, 3, 9, 11], + [1, 4, 6, 11], [1, 4, 7, 11], [1, 4, 8, 11], [1, 4, 9, 11], [1, 5, 7, 11], + [1, 5, 8, 11], [1, 5, 9, 11], [1, 6, 8, 11], [1, 6, 9, 11], [1, 7, 9, 11], + [2, 4, 6, 8], [2, 4, 6, 9], [2, 4, 7, 9], [2, 5, 7, 9], [2, 4, 6, 10], + [2, 4, 7, 10], [2, 4, 8, 10], [2, 5, 7, 10], [2, 5, 8, 10], [2, 6, 8, 10], + [2, 4, 6, 11], [2, 4, 7, 11], [2, 4, 8, 11], [2, 4, 9, 11], [2, 5, 7, 11], + [2, 5, 8, 11], [2, 5, 9, 11], [2, 6, 8, 11], [2, 6, 9, 11], [2, 7, 9, 11], + [3, 5, 7, 9], [3, 5, 7, 10], [3, 5, 8, 10], [3, 6, 8, 10], [3, 5, 7, 11], + [3, 5, 8, 11], [3, 5, 9, 11], [3, 6, 8, 11], [3, 6, 9, 11], [3, 7, 9, 11], + [4, 6, 8, 10], [4, 6, 8, 11], [4, 6, 9, 11], [4, 7, 9, 11], [5, 7, 9, 11]], + [[0, 2, 4, 6, 8], [0, 2, 4, 6, 9], [0, 2, 4, 7, 9], [0, 2, 5, 7, 9], + [0, 3, 5, 7, 9], [0, 2, 4, 6, 10], [0, 2, 4, 7, 10], [0, 2, 4, 8, 10], + [0, 2, 5, 7, 10], [0, 2, 5, 8, 10], [0, 2, 6, 8, 10], [0, 3, 5, 7, 10], + [0, 3, 5, 8, 10], [0, 3, 6, 8, 10], [0, 4, 6, 8, 10], [1, 3, 5, 7, 9], + [1, 3, 5, 7, 10], [1, 3, 5, 8, 10], [1, 3, 6, 8, 10], [1, 4, 6, 8, 10], + [1, 3, 5, 7, 11], [1, 3, 5, 8, 11], [1, 3, 5, 9, 11], [1, 3, 6, 8, 11], + [1, 3, 6, 9, 11], [1, 3, 7, 9, 11], [1, 4, 6, 8, 11], [1, 4, 6, 9, 11], + [1, 4, 7, 9, 11], [1, 5, 7, 9, 11], [2, 4, 6, 8, 10], [2, 4, 6, 8, 11], + [2, 4, 6, 9, 11], [2, 4, 7, 9, 11], [2, 5, 7, 9, 11], [3, 5, 7, 9, 11]], + [[0, 2, 4, 6, 8, 10], [1, 3, 5, 7, 9, 11]]] + +def group_sublists_by_length(lst): + unique_lengths = sorted(list(set(map(len, lst))), reverse=True) + return [[x for x in lst if len(x) == i] for i in unique_lengths] + +def pitches_to_tones_chord(pitches): + return sorted(set([p % 12 for p in pitches])) + +def tones_chord_to_pitches(tones_chord, base_pitch=60): + return [t+base_pitch for t in tones_chord if 0 <= t < 12] + +################################################################################### + +def advanced_score_processor(raw_score, + patches_to_analyze=list(range(129)), + return_score_analysis=False, + return_enhanced_score=False, + return_enhanced_score_notes=False, + return_enhanced_monophonic_melody=False, + return_chordified_enhanced_score=False, + return_chordified_enhanced_score_with_lyrics=False, + return_score_tones_chords=False, + return_text_and_lyric_events=False + ): + + '''TMIDIX Advanced Score Processor''' + + # Score data types detection + + if raw_score and type(raw_score) == list: + + num_ticks = 0 + num_tracks = 1 + + basic_single_track_score = [] + + if type(raw_score[0]) != int: + if len(raw_score[0]) < 5 and type(raw_score[0][0]) != str: + return ['Check score for errors and compatibility!'] + + else: + basic_single_track_score = copy.deepcopy(raw_score) + + else: + num_ticks = raw_score[0] + while num_tracks < len(raw_score): + for event in raw_score[num_tracks]: + ev = copy.deepcopy(event) + basic_single_track_score.append(ev) + num_tracks += 1 + + basic_single_track_score.sort(key=lambda x: x[4] if x[0] == 'note' else 128, reverse=True) + basic_single_track_score.sort(key=lambda x: x[1]) + + enhanced_single_track_score = [] + patches = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] + all_score_patches = [] + num_patch_changes = 0 + + for event in basic_single_track_score: + if event[0] == 'patch_change': + patches[event[2]] = event[3] + enhanced_single_track_score.append(event) + num_patch_changes += 1 + + if event[0] == 'note': + if event[3] != 9: + event.extend([patches[event[3]]]) + all_score_patches.extend([patches[event[3]]]) + else: + event.extend([128]) + all_score_patches.extend([128]) + + if enhanced_single_track_score: + if (event[1] == enhanced_single_track_score[-1][1]): + if ([event[3], event[4]] != enhanced_single_track_score[-1][3:5]): + enhanced_single_track_score.append(event) + else: + enhanced_single_track_score.append(event) + + else: + enhanced_single_track_score.append(event) + + if event[0] not in ['note', 'patch_change']: + enhanced_single_track_score.append(event) + + enhanced_single_track_score.sort(key=lambda x: x[6] if x[0] == 'note' else -1) + enhanced_single_track_score.sort(key=lambda x: x[4] if x[0] == 'note' else 128, reverse=True) + enhanced_single_track_score.sort(key=lambda x: x[1]) + + # Analysis and chordification + + cscore = [] + cescore = [] + chords_tones = [] + tones_chords = [] + all_tones = [] + all_chords_good = True + bad_chords = [] + bad_chords_count = 0 + score_notes = [] + score_pitches = [] + score_patches = [] + num_text_events = 0 + num_lyric_events = 0 + num_other_events = 0 + text_and_lyric_events = [] + text_and_lyric_events_latin = None + + analysis = {} + + score_notes = [s for s in enhanced_single_track_score if s[0] == 'note' and s[6] in patches_to_analyze] + score_patches = [sn[6] for sn in score_notes] + + if return_text_and_lyric_events: + text_and_lyric_events = [e for e in enhanced_single_track_score if e[0] in ['text_event', 'lyric']] + + if text_and_lyric_events: + text_and_lyric_events_latin = True + for e in text_and_lyric_events: + try: + tle = str(e[2].decode()) + except: + tle = str(e[2]) + + for c in tle: + if not 0 <= ord(c) < 128: + text_and_lyric_events_latin = False + + if (return_chordified_enhanced_score or return_score_analysis) and any(elem in patches_to_analyze for elem in score_patches): + + cescore = chordify_score([num_ticks, enhanced_single_track_score]) + + if return_score_analysis: + + cscore = chordify_score(score_notes) + + score_pitches = [sn[4] for sn in score_notes] + + text_events = [e for e in enhanced_single_track_score if e[0] == 'text_event'] + num_text_events = len(text_events) + + lyric_events = [e for e in enhanced_single_track_score if e[0] == 'lyric'] + num_lyric_events = len(lyric_events) + + other_events = [e for e in enhanced_single_track_score if e[0] not in ['note', 'patch_change', 'text_event', 'lyric']] + num_other_events = len(other_events) + + for c in cscore: + tones = sorted(set([t[4] % 12 for t in c if t[3] != 9])) + + if tones: + chords_tones.append(tones) + all_tones.extend(tones) + + if tones not in ALL_CHORDS: + all_chords_good = False + bad_chords.append(tones) + bad_chords_count += 1 + + analysis['Number of ticks per quarter note'] = num_ticks + analysis['Number of tracks'] = num_tracks + analysis['Number of all events'] = len(enhanced_single_track_score) + analysis['Number of patch change events'] = num_patch_changes + analysis['Number of text events'] = num_text_events + analysis['Number of lyric events'] = num_lyric_events + analysis['All text and lyric events Latin'] = text_and_lyric_events_latin + analysis['Number of other events'] = num_other_events + analysis['Number of score notes'] = len(score_notes) + analysis['Number of score chords'] = len(cscore) + analysis['Score patches'] = sorted(set(score_patches)) + analysis['Score pitches'] = sorted(set(score_pitches)) + analysis['Score tones'] = sorted(set(all_tones)) + if chords_tones: + analysis['Shortest chord'] = sorted(min(chords_tones, key=len)) + analysis['Longest chord'] = sorted(max(chords_tones, key=len)) + analysis['All chords good'] = all_chords_good + analysis['Number of bad chords'] = bad_chords_count + analysis['Bad chords'] = sorted([list(c) for c in set(tuple(bc) for bc in bad_chords)]) + + else: + analysis['Error'] = 'Provided score does not have specified patches to analyse' + analysis['Provided patches to analyse'] = sorted(patches_to_analyze) + analysis['Patches present in the score'] = sorted(set(all_score_patches)) + + if return_enhanced_monophonic_melody: + + score_notes_copy = copy.deepcopy(score_notes) + chordified_score_notes = chordify_score(score_notes_copy) + + melody = [c[0] for c in chordified_score_notes] + + fixed_melody = [] + + for i in range(len(melody)-1): + note = melody[i] + nmt = melody[i+1][1] + + if note[1]+note[2] >= nmt: + note_dur = nmt-note[1]-1 + else: + note_dur = note[2] + + melody[i][2] = note_dur + + fixed_melody.append(melody[i]) + fixed_melody.append(melody[-1]) + + if return_score_tones_chords: + cscore = chordify_score(score_notes) + for c in cscore: + tones_chord = sorted(set([t[4] % 12 for t in c if t[3] != 9])) + if tones_chord: + tones_chords.append(tones_chord) + + if return_chordified_enhanced_score_with_lyrics: + score_with_lyrics = [e for e in enhanced_single_track_score if e[0] in ['note', 'text_event', 'lyric']] + chordified_enhanced_score_with_lyrics = chordify_score(score_with_lyrics) + + # Returned data + + requested_data = [] + + if return_score_analysis and analysis: + requested_data.append([[k, v] for k, v in analysis.items()]) + + if return_enhanced_score and enhanced_single_track_score: + requested_data.append([num_ticks, enhanced_single_track_score]) + + if return_enhanced_score_notes and score_notes: + requested_data.append(score_notes) + + if return_enhanced_monophonic_melody and fixed_melody: + requested_data.append(fixed_melody) + + if return_chordified_enhanced_score and cescore: + requested_data.append(cescore) + + if return_chordified_enhanced_score_with_lyrics and chordified_enhanced_score_with_lyrics: + requested_data.append(chordified_enhanced_score_with_lyrics) + + if return_score_tones_chords and tones_chords: + requested_data.append(tones_chords) + + if return_text_and_lyric_events and text_and_lyric_events: + requested_data.append(text_and_lyric_events) + + return requested_data + + else: + return ['Check score for errors and compatibility!'] + +################################################################################### + +import random +import copy + +################################################################################### + +def replace_bad_tones_chord(bad_tones_chord): + bad_chord_p = [0] * 12 + for b in bad_tones_chord: + bad_chord_p[b] = 1 + + match_ratios = [] + good_chords = [] + for c in ALL_CHORDS: + good_chord_p = [0] * 12 + for cc in c: + good_chord_p[cc] = 1 + + good_chords.append(good_chord_p) + match_ratios.append(sum(i == j for i, j in zip(good_chord_p, bad_chord_p)) / len(good_chord_p)) + + best_good_chord = good_chords[match_ratios.index(max(match_ratios))] + + replaced_chord = [] + for i in range(len(best_good_chord)): + if best_good_chord[i] == 1: + replaced_chord.append(i) + + return [replaced_chord, max(match_ratios)] + +################################################################################### + +def check_and_fix_chord(chord, + channel_index=3, + pitch_index=4 + ): + + tones_chord = sorted(set([t[pitch_index] % 12 for t in chord if t[channel_index] != 9])) + + notes_events = [t for t in chord if t[channel_index] != 9] + notes_events.sort(key=lambda x: x[pitch_index], reverse=True) + + drums_events = [t for t in chord if t[channel_index] == 9] + + checked_and_fixed_chord = [] + + if tones_chord: + + new_tones_chord = advanced_check_and_fix_tones_chord(tones_chord, high_pitch=notes_events[0][pitch_index]) + + if new_tones_chord != tones_chord: + + if len(notes_events) > 1: + checked_and_fixed_chord.extend([notes_events[0]]) + for cc in notes_events[1:]: + if cc[channel_index] != 9: + if (cc[pitch_index] % 12) in new_tones_chord: + checked_and_fixed_chord.extend([cc]) + checked_and_fixed_chord.extend(drums_events) + else: + checked_and_fixed_chord.extend([notes_events[0]]) + else: + checked_and_fixed_chord.extend(chord) + else: + checked_and_fixed_chord.extend(chord) + + checked_and_fixed_chord.sort(key=lambda x: x[pitch_index], reverse=True) + + return checked_and_fixed_chord + +################################################################################### + +def find_similar_tones_chord(tones_chord, + max_match_threshold=1, + randomize_chords_matches=False, + custom_chords_list=[]): + chord_p = [0] * 12 + for b in tones_chord: + chord_p[b] = 1 + + match_ratios = [] + good_chords = [] + + if custom_chords_list: + CHORDS = copy.deepcopy([list(x) for x in set(tuple(t) for t in custom_chords_list)]) + else: + CHORDS = copy.deepcopy(ALL_CHORDS) + + if randomize_chords_matches: + random.shuffle(CHORDS) + + for c in CHORDS: + good_chord_p = [0] * 12 + for cc in c: + good_chord_p[cc] = 1 + + good_chords.append(good_chord_p) + match_ratio = sum(i == j for i, j in zip(good_chord_p, chord_p)) / len(good_chord_p) + if match_ratio < max_match_threshold: + match_ratios.append(match_ratio) + else: + match_ratios.append(0) + + best_good_chord = good_chords[match_ratios.index(max(match_ratios))] + + similar_chord = [] + for i in range(len(best_good_chord)): + if best_good_chord[i] == 1: + similar_chord.append(i) + + return [similar_chord, max(match_ratios)] + +################################################################################### + +def generate_tones_chords_progression(number_of_chords_to_generate=100, + start_tones_chord=[], + custom_chords_list=[]): + + if start_tones_chord: + start_chord = start_tones_chord + else: + start_chord = random.choice(ALL_CHORDS) + + chord = [] + + chords_progression = [start_chord] + + for i in range(number_of_chords_to_generate): + if not chord: + chord = start_chord + + if custom_chords_list: + chord = find_similar_tones_chord(chord, randomize_chords_matches=True, custom_chords_list=custom_chords_list)[0] + else: + chord = find_similar_tones_chord(chord, randomize_chords_matches=True)[0] + + chords_progression.append(chord) + + return chords_progression + +################################################################################### + +def ascii_texts_search(texts = ['text1', 'text2', 'text3'], + search_query = 'Once upon a time...', + deterministic_matching = False + ): + + texts_copy = texts + + if not deterministic_matching: + texts_copy = copy.deepcopy(texts) + random.shuffle(texts_copy) + + clean_texts = [] + + for t in texts_copy: + text_words_list = [at.split(chr(32)) for at in t.split(chr(10))] + + clean_text_words_list = [] + for twl in text_words_list: + for w in twl: + clean_text_words_list.append(''.join(filter(str.isalpha, w.lower()))) + + clean_texts.append(clean_text_words_list) + + text_search_query = [at.split(chr(32)) for at in search_query.split(chr(10))] + clean_text_search_query = [] + for w in text_search_query: + for ww in w: + clean_text_search_query.append(''.join(filter(str.isalpha, ww.lower()))) + + if clean_texts[0] and clean_text_search_query: + texts_match_ratios = [] + words_match_indexes = [] + for t in clean_texts: + word_match_count = 0 + wmis = [] + + for c in clean_text_search_query: + if c in t: + word_match_count += 1 + wmis.append(t.index(c)) + else: + wmis.append(-1) + + words_match_indexes.append(wmis) + words_match_indexes_consequtive = all(abs(b) - abs(a) == 1 for a, b in zip(wmis, wmis[1:])) + words_match_indexes_consequtive_ratio = sum([abs(b) - abs(a) == 1 for a, b in zip(wmis, wmis[1:])]) / len(wmis) + + if words_match_indexes_consequtive: + texts_match_ratios.append(word_match_count / len(clean_text_search_query)) + else: + texts_match_ratios.append(((word_match_count / len(clean_text_search_query)) + words_match_indexes_consequtive_ratio) / 2) + + if texts_match_ratios: + max_text_match_ratio = max(texts_match_ratios) + max_match_ratio_text = texts_copy[texts_match_ratios.index(max_text_match_ratio)] + max_text_words_match_indexes = words_match_indexes[texts_match_ratios.index(max_text_match_ratio)] + + return [max_match_ratio_text, max_text_match_ratio, max_text_words_match_indexes] + + else: + return None + +################################################################################### + +def ascii_text_words_counter(ascii_text): + + text_words_list = [at.split(chr(32)) for at in ascii_text.split(chr(10))] + + clean_text_words_list = [] + for twl in text_words_list: + for w in twl: + wo = '' + for ww in w.lower(): + if 96 < ord(ww) < 123: + wo += ww + if wo != '': + clean_text_words_list.append(wo) + + words = {} + for i in clean_text_words_list: + words[i] = words.get(i, 0) + 1 + + words_sorted = dict(sorted(words.items(), key=lambda item: item[1], reverse=True)) + + return len(clean_text_words_list), words_sorted, clean_text_words_list + +################################################################################### + +def check_and_fix_tones_chord(tones_chord, use_full_chords=True): + + tones_chord_combs = [list(comb) for i in range(len(tones_chord), 0, -1) for comb in combinations(tones_chord, i)] + + if use_full_chords: + CHORDS = ALL_CHORDS_FULL + + else: + CHORDS = ALL_CHORDS_SORTED + + for c in tones_chord_combs: + if c in CHORDS: + checked_tones_chord = c + break + + return sorted(checked_tones_chord) + +################################################################################### + +def find_closest_tone(tones, tone): + return min(tones, key=lambda x:abs(x-tone)) + +################################################################################### + +def advanced_check_and_fix_tones_chord(tones_chord, high_pitch=0, use_full_chords=True): + + tones_chord_combs = [list(comb) for i in range(len(tones_chord), 0, -1) for comb in combinations(tones_chord, i)] + + if use_full_chords: + CHORDS = ALL_CHORDS_FULL + + else: + CHORDS = ALL_CHORDS_SORTED + + for c in tones_chord_combs: + if c in CHORDS: + tchord = c + + if 0 < high_pitch < 128 and len(tchord) == 1: + tchord = [high_pitch % 12] + + return tchord + +################################################################################### + +def create_similarity_matrix(list_of_values, matrix_length=0): + + counts = Counter(list_of_values).items() + + if matrix_length > 0: + sim_matrix = [0] * max(matrix_length, len(list_of_values)) + else: + sim_matrix = [0] * len(counts) + + for c in counts: + sim_matrix[c[0]] = c[1] + + similarity_matrix = [[0] * len(sim_matrix) for _ in range(len(sim_matrix))] + + for i in range(len(sim_matrix)): + for j in range(len(sim_matrix)): + if max(sim_matrix[i], sim_matrix[j]) != 0: + similarity_matrix[i][j] = min(sim_matrix[i], sim_matrix[j]) / max(sim_matrix[i], sim_matrix[j]) + + return similarity_matrix, sim_matrix + +################################################################################### + +def ceil_with_precision(value, decimal_places): + factor = 10 ** decimal_places + return math.ceil(value * factor) / factor + +################################################################################### + +def augment_enhanced_score_notes(enhanced_score_notes, + timings_divider=16, + full_sorting=True, + timings_shift=0, + pitch_shift=0, + ceil_timings=False, + round_timings=False, + legacy_timings=True + ): + + esn = copy.deepcopy(enhanced_score_notes) + + pe = enhanced_score_notes[0] + + abs_time = max(0, int(enhanced_score_notes[0][1] / timings_divider)) + + for i, e in enumerate(esn): + + dtime = (e[1] / timings_divider) - (pe[1] / timings_divider) + + if round_timings: + dtime = round(dtime) + + else: + if ceil_timings: + dtime = math.ceil(dtime) + + else: + dtime = int(dtime) + + if legacy_timings: + abs_time = int(e[1] / timings_divider) + timings_shift + + else: + abs_time += dtime + + e[1] = max(0, abs_time + timings_shift) + + if round_timings: + e[2] = max(1, round(e[2] / timings_divider)) + timings_shift + + else: + if ceil_timings: + e[2] = max(1, math.ceil(e[2] / timings_divider)) + timings_shift + else: + e[2] = max(1, int(e[2] / timings_divider)) + timings_shift + + e[4] = max(1, min(127, e[4] + pitch_shift)) + + pe = enhanced_score_notes[i] + + if full_sorting: + + # Sorting by patch, reverse pitch and start-time + esn.sort(key=lambda x: x[6]) + esn.sort(key=lambda x: x[4], reverse=True) + esn.sort(key=lambda x: x[1]) + + return esn + +################################################################################### + +def stack_list(lst, base=12): + return sum(j * base**i for i, j in enumerate(lst[::-1])) + +def destack_list(num, base=12): + lst = [] + while num: + lst.append(num % base) + num //= base + return lst[::-1] + +################################################################################### + +def extract_melody(chordified_enhanced_score, + melody_range=[48, 84], + melody_channel=0, + melody_patch=0, + melody_velocity=0, + stacked_melody=False, + stacked_melody_base_pitch=60 + ): + + if stacked_melody: + + + all_pitches_chords = [] + for e in chordified_enhanced_score: + all_pitches_chords.append(sorted(set([p[4] for p in e]), reverse=True)) + + melody_score = [] + for i, chord in enumerate(chordified_enhanced_score): + + if melody_velocity > 0: + vel = melody_velocity + else: + vel = chord[0][5] + + melody_score.append(['note', chord[0][1], chord[0][2], melody_channel, stacked_melody_base_pitch+(stack_list([p % 12 for p in all_pitches_chords[i]]) % 12), vel, melody_patch]) + + else: + + melody_score = copy.deepcopy([c[0] for c in chordified_enhanced_score if c[0][3] != 9]) + + for e in melody_score: + + e[3] = melody_channel + + if melody_velocity > 0: + e[5] = melody_velocity + + e[6] = melody_patch + + if e[4] < melody_range[0]: + e[4] = (e[4] % 12) + melody_range[0] + + if e[4] >= melody_range[1]: + e[4] = (e[4] % 12) + (melody_range[1]-12) + + return fix_monophonic_score_durations(melody_score) + +################################################################################### + +def flip_enhanced_score_notes(enhanced_score_notes): + + min_pitch = min([e[4] for e in enhanced_score_notes if e[3] != 9]) + + fliped_score_pitches = [127 - e[4]for e in enhanced_score_notes if e[3] != 9] + + delta_min_pitch = min_pitch - min([p for p in fliped_score_pitches]) + + output_score = copy.deepcopy(enhanced_score_notes) + + for e in output_score: + if e[3] != 9: + e[4] = (127 - e[4]) + delta_min_pitch + + return output_score + +################################################################################### + +ALL_CHORDS_SORTED = [[0], [0, 2], [0, 3], [0, 4], [0, 2, 4], [0, 5], [0, 2, 5], [0, 3, 5], [0, 6], + [0, 2, 6], [0, 3, 6], [0, 4, 6], [0, 2, 4, 6], [0, 7], [0, 2, 7], [0, 3, 7], + [0, 4, 7], [0, 5, 7], [0, 2, 4, 7], [0, 2, 5, 7], [0, 3, 5, 7], [0, 8], + [0, 2, 8], [0, 3, 8], [0, 4, 8], [0, 5, 8], [0, 6, 8], [0, 2, 4, 8], + [0, 2, 5, 8], [0, 2, 6, 8], [0, 3, 5, 8], [0, 3, 6, 8], [0, 4, 6, 8], + [0, 2, 4, 6, 8], [0, 9], [0, 2, 9], [0, 3, 9], [0, 4, 9], [0, 5, 9], [0, 6, 9], + [0, 7, 9], [0, 2, 4, 9], [0, 2, 5, 9], [0, 2, 6, 9], [0, 2, 7, 9], + [0, 3, 5, 9], [0, 3, 6, 9], [0, 3, 7, 9], [0, 4, 6, 9], [0, 4, 7, 9], + [0, 5, 7, 9], [0, 2, 4, 6, 9], [0, 2, 4, 7, 9], [0, 2, 5, 7, 9], + [0, 3, 5, 7, 9], [0, 10], [0, 2, 10], [0, 3, 10], [0, 4, 10], [0, 5, 10], + [0, 6, 10], [0, 7, 10], [0, 8, 10], [0, 2, 4, 10], [0, 2, 5, 10], + [0, 2, 6, 10], [0, 2, 7, 10], [0, 2, 8, 10], [0, 3, 5, 10], [0, 3, 6, 10], + [0, 3, 7, 10], [0, 3, 8, 10], [0, 4, 6, 10], [0, 4, 7, 10], [0, 4, 8, 10], + [0, 5, 7, 10], [0, 5, 8, 10], [0, 6, 8, 10], [0, 2, 4, 6, 10], + [0, 2, 4, 7, 10], [0, 2, 4, 8, 10], [0, 2, 5, 7, 10], [0, 2, 5, 8, 10], + [0, 2, 6, 8, 10], [0, 3, 5, 7, 10], [0, 3, 5, 8, 10], [0, 3, 6, 8, 10], + [0, 4, 6, 8, 10], [0, 2, 4, 6, 8, 10], [1], [1, 3], [1, 4], [1, 5], [1, 3, 5], + [1, 6], [1, 3, 6], [1, 4, 6], [1, 7], [1, 3, 7], [1, 4, 7], [1, 5, 7], + [1, 3, 5, 7], [1, 8], [1, 3, 8], [1, 4, 8], [1, 5, 8], [1, 6, 8], [1, 3, 5, 8], + [1, 3, 6, 8], [1, 4, 6, 8], [1, 9], [1, 3, 9], [1, 4, 9], [1, 5, 9], [1, 6, 9], + [1, 7, 9], [1, 3, 5, 9], [1, 3, 6, 9], [1, 3, 7, 9], [1, 4, 6, 9], + [1, 4, 7, 9], [1, 5, 7, 9], [1, 3, 5, 7, 9], [1, 10], [1, 3, 10], [1, 4, 10], + [1, 5, 10], [1, 6, 10], [1, 7, 10], [1, 8, 10], [1, 3, 5, 10], [1, 3, 6, 10], + [1, 3, 7, 10], [1, 3, 8, 10], [1, 4, 6, 10], [1, 4, 7, 10], [1, 4, 8, 10], + [1, 5, 7, 10], [1, 5, 8, 10], [1, 6, 8, 10], [1, 3, 5, 7, 10], + [1, 3, 5, 8, 10], [1, 3, 6, 8, 10], [1, 4, 6, 8, 10], [1, 11], [1, 3, 11], + [1, 4, 11], [1, 5, 11], [1, 6, 11], [1, 7, 11], [1, 8, 11], [1, 9, 11], + [1, 3, 5, 11], [1, 3, 6, 11], [1, 3, 7, 11], [1, 3, 8, 11], [1, 3, 9, 11], + [1, 4, 6, 11], [1, 4, 7, 11], [1, 4, 8, 11], [1, 4, 9, 11], [1, 5, 7, 11], + [1, 5, 8, 11], [1, 5, 9, 11], [1, 6, 8, 11], [1, 6, 9, 11], [1, 7, 9, 11], + [1, 3, 5, 7, 11], [1, 3, 5, 8, 11], [1, 3, 5, 9, 11], [1, 3, 6, 8, 11], + [1, 3, 6, 9, 11], [1, 3, 7, 9, 11], [1, 4, 6, 8, 11], [1, 4, 6, 9, 11], + [1, 4, 7, 9, 11], [1, 5, 7, 9, 11], [1, 3, 5, 7, 9, 11], [2], [2, 4], [2, 5], + [2, 6], [2, 4, 6], [2, 7], [2, 4, 7], [2, 5, 7], [2, 8], [2, 4, 8], [2, 5, 8], + [2, 6, 8], [2, 4, 6, 8], [2, 9], [2, 4, 9], [2, 5, 9], [2, 6, 9], [2, 7, 9], + [2, 4, 6, 9], [2, 4, 7, 9], [2, 5, 7, 9], [2, 10], [2, 4, 10], [2, 5, 10], + [2, 6, 10], [2, 7, 10], [2, 8, 10], [2, 4, 6, 10], [2, 4, 7, 10], + [2, 4, 8, 10], [2, 5, 7, 10], [2, 5, 8, 10], [2, 6, 8, 10], [2, 4, 6, 8, 10], + [2, 11], [2, 4, 11], [2, 5, 11], [2, 6, 11], [2, 7, 11], [2, 8, 11], + [2, 9, 11], [2, 4, 6, 11], [2, 4, 7, 11], [2, 4, 8, 11], [2, 4, 9, 11], + [2, 5, 7, 11], [2, 5, 8, 11], [2, 5, 9, 11], [2, 6, 8, 11], [2, 6, 9, 11], + [2, 7, 9, 11], [2, 4, 6, 8, 11], [2, 4, 6, 9, 11], [2, 4, 7, 9, 11], + [2, 5, 7, 9, 11], [3], [3, 5], [3, 6], [3, 7], [3, 5, 7], [3, 8], [3, 5, 8], + [3, 6, 8], [3, 9], [3, 5, 9], [3, 6, 9], [3, 7, 9], [3, 5, 7, 9], [3, 10], + [3, 5, 10], [3, 6, 10], [3, 7, 10], [3, 8, 10], [3, 5, 7, 10], [3, 5, 8, 10], + [3, 6, 8, 10], [3, 11], [3, 5, 11], [3, 6, 11], [3, 7, 11], [3, 8, 11], + [3, 9, 11], [3, 5, 7, 11], [3, 5, 8, 11], [3, 5, 9, 11], [3, 6, 8, 11], + [3, 6, 9, 11], [3, 7, 9, 11], [3, 5, 7, 9, 11], [4], [4, 6], [4, 7], [4, 8], + [4, 6, 8], [4, 9], [4, 6, 9], [4, 7, 9], [4, 10], [4, 6, 10], [4, 7, 10], + [4, 8, 10], [4, 6, 8, 10], [4, 11], [4, 6, 11], [4, 7, 11], [4, 8, 11], + [4, 9, 11], [4, 6, 8, 11], [4, 6, 9, 11], [4, 7, 9, 11], [5], [5, 7], [5, 8], + [5, 9], [5, 7, 9], [5, 10], [5, 7, 10], [5, 8, 10], [5, 11], [5, 7, 11], + [5, 8, 11], [5, 9, 11], [5, 7, 9, 11], [6], [6, 8], [6, 9], [6, 10], + [6, 8, 10], [6, 11], [6, 8, 11], [6, 9, 11], [7], [7, 9], [7, 10], [7, 11], + [7, 9, 11], [8], [8, 10], [8, 11], [9], [9, 11], [10], [11]] + +################################################################################### + +MIDI_Instruments_Families = { + 0: 'Piano Family', + 1: 'Chromatic Percussion Family', + 2: 'Organ Family', + 3: 'Guitar Family', + 4: 'Bass Family', + 5: 'Strings Family', + 6: 'Ensemble Family', + 7: 'Brass Family', + 8: 'Reed Family', + 9: 'Pipe Family', + 10: 'Synth Lead Family', + 11: 'Synth Pad Family', + 12: 'Synth Effects Family', + 13: 'Ethnic Family', + 14: 'Percussive Family', + 15: 'Sound Effects Family', + 16: 'Drums Family', + -1: 'Unknown Family', + } + +################################################################################### + +def patch_to_instrument_family(MIDI_patch, drums_patch=128): + + if 0 <= MIDI_patch < 128: + return MIDI_patch // 8, MIDI_Instruments_Families[MIDI_patch // 8] + + elif MIDI_patch == drums_patch: + return MIDI_patch // 8, MIDI_Instruments_Families[16] + + else: + return -1, MIDI_Instruments_Families[-1] + +################################################################################### + +def patch_list_from_enhanced_score_notes(enhanced_score_notes, + default_patch=0, + drums_patch=9, + verbose=False + ): + + patches = [-1] * 16 + + for idx, e in enumerate(enhanced_score_notes): + if e[0] == 'note': + if e[3] != 9: + if patches[e[3]] == -1: + patches[e[3]] = e[6] + else: + if patches[e[3]] != e[6]: + if e[6] in patches: + e[3] = patches.index(e[6]) + else: + if -1 in patches: + patches[patches.index(-1)] = e[6] + else: + patches[-1] = e[6] + + if verbose: + print('=' * 70) + print('WARNING! Composition has more than 15 patches!') + print('Conflict note number:', idx) + print('Conflict channel number:', e[3]) + print('Conflict patch number:', e[6]) + + patches = [p if p != -1 else default_patch for p in patches] + + patches[9] = drums_patch + + if verbose: + print('=' * 70) + print('Composition patches') + print('=' * 70) + for c, p in enumerate(patches): + print('Cha', str(c).zfill(2), '---', str(p).zfill(3), Number2patch[p]) + print('=' * 70) + + return patches + +################################################################################### + +def patch_enhanced_score_notes(enhanced_score_notes, + default_patch=0, + drums_patch=9, + verbose=False + ): + + #=========================================================================== + + enhanced_score_notes_with_patch_changes = [] + + patches = [-1] * 16 + + overflow_idx = -1 + + for idx, e in enumerate(enhanced_score_notes): + if e[0] == 'note': + if e[3] != 9: + if patches[e[3]] == -1: + patches[e[3]] = e[6] + else: + if patches[e[3]] != e[6]: + if e[6] in patches: + e[3] = patches.index(e[6]) + else: + if -1 in patches: + patches[patches.index(-1)] = e[6] + else: + overflow_idx = idx + break + + enhanced_score_notes_with_patch_changes.append(e) + + #=========================================================================== + + overflow_patches = [] + + if overflow_idx != -1: + for idx, e in enumerate(enhanced_score_notes[overflow_idx:]): + if e[0] == 'note': + if e[3] != 9: + if e[6] not in patches: + if e[6] not in overflow_patches: + overflow_patches.append(e[6]) + enhanced_score_notes_with_patch_changes.append(['patch_change', e[1], e[3], e[6]]) + else: + e[3] = patches.index(e[6]) + + enhanced_score_notes_with_patch_changes.append(e) + + #=========================================================================== + + patches = [p if p != -1 else default_patch for p in patches] + + patches[9] = drums_patch + + #=========================================================================== + + if verbose: + print('=' * 70) + print('Composition patches') + print('=' * 70) + for c, p in enumerate(patches): + print('Cha', str(c).zfill(2), '---', str(p).zfill(3), Number2patch[p]) + print('=' * 70) + + if overflow_patches: + print('Extra composition patches') + print('=' * 70) + for c, p in enumerate(overflow_patches): + print(str(p).zfill(3), Number2patch[p]) + print('=' * 70) + + return enhanced_score_notes_with_patch_changes, patches, overflow_patches + +################################################################################### + +def create_enhanced_monophonic_melody(monophonic_melody): + + enhanced_monophonic_melody = [] + + for i, note in enumerate(monophonic_melody[:-1]): + + enhanced_monophonic_melody.append(note) + + if note[1]+note[2] < monophonic_melody[i+1][1]: + + delta_time = monophonic_melody[i+1][1] - (note[1]+note[2]) + enhanced_monophonic_melody.append(['silence', note[1]+note[2], delta_time, note[3], 0, 0, note[6]]) + + enhanced_monophonic_melody.append(monophonic_melody[-1]) + + return enhanced_monophonic_melody + +################################################################################### + +def frame_monophonic_melody(monophonic_melody, min_frame_time_threshold=10): + + mzip = list(zip(monophonic_melody[:-1], monophonic_melody[1:])) + + times_counts = Counter([(b[1]-a[1]) for a, b in mzip]).most_common() + + mc_time = next((item for item, count in times_counts if item >= min_frame_time_threshold), min_frame_time_threshold) + + times = [(b[1]-a[1]) // mc_time for a, b in mzip] + [monophonic_melody[-1][2] // mc_time] + + framed_melody = [] + + for i, note in enumerate(monophonic_melody): + + stime = note[1] + count = times[i] + + if count != 0: + for j in range(count): + + new_note = copy.deepcopy(note) + new_note[1] = stime + (j * mc_time) + new_note[2] = mc_time + framed_melody.append(new_note) + + else: + framed_melody.append(note) + + return [framed_melody, mc_time] + +################################################################################### + +def delta_score_notes(score_notes, + timings_clip_value=255, + even_timings=False, + compress_timings=False + ): + + delta_score = [] + + pe = score_notes[0] + + for n in score_notes: + + note = copy.deepcopy(n) + + time = n[1] - pe[1] + dur = n[2] + + if even_timings: + if time != 0 and time % 2 != 0: + time += 1 + if dur % 2 != 0: + dur += 1 + + time = max(0, min(timings_clip_value, time)) + dur = max(0, min(timings_clip_value, dur)) + + if compress_timings: + time /= 2 + dur /= 2 + + note[1] = int(time) + note[2] = int(dur) + + delta_score.append(note) + + pe = n + + return delta_score + +################################################################################### + +def check_and_fix_chords_in_chordified_score(chordified_score, + channels_index=3, + pitches_index=4 + ): + fixed_chordified_score = [] + + bad_chords_counter = 0 + + for c in chordified_score: + + tones_chord = sorted(set([t[pitches_index] % 12 for t in c if t[channels_index] != 9])) + + if tones_chord: + + if tones_chord not in ALL_CHORDS_SORTED: + bad_chords_counter += 1 + + while tones_chord not in ALL_CHORDS_SORTED: + tones_chord.pop(0) + + new_chord = [] + + c.sort(key = lambda x: x[pitches_index], reverse=True) + + for e in c: + if e[channels_index] != 9: + if e[pitches_index] % 12 in tones_chord: + new_chord.append(e) + + else: + new_chord.append(e) + + fixed_chordified_score.append(new_chord) + + return fixed_chordified_score, bad_chords_counter + +################################################################################### + +from itertools import combinations, groupby + +################################################################################### + +def advanced_check_and_fix_chords_in_chordified_score(chordified_score, + channels_index=3, + pitches_index=4, + patches_index=6, + use_filtered_chords=False, + use_full_chords=False, + remove_duplicate_pitches=True, + fix_bad_tones_chords=False, + fix_bad_pitches=False, + skip_drums=False + ): + fixed_chordified_score = [] + + bad_chords_counter = 0 + duplicate_pitches_counter = 0 + + if use_filtered_chords: + CHORDS = ALL_CHORDS_FILTERED + else: + CHORDS = ALL_CHORDS_SORTED + + if use_full_chords: + CHORDS = ALL_CHORDS_FULL + + for c in chordified_score: + + chord = copy.deepcopy(c) + + if remove_duplicate_pitches: + + chord.sort(key = lambda x: x[pitches_index], reverse=True) + + seen = set() + ddchord = [] + + for cc in chord: + if cc[channels_index] != 9: + + if tuple([cc[pitches_index], cc[patches_index]]) not in seen: + ddchord.append(cc) + seen.add(tuple([cc[pitches_index], cc[patches_index]])) + else: + duplicate_pitches_counter += 1 + + else: + ddchord.append(cc) + + chord = copy.deepcopy(ddchord) + + tones_chord = sorted(set([t[pitches_index] % 12 for t in chord if t[channels_index] != 9])) + + if tones_chord: + + if tones_chord not in CHORDS: + + pitches_chord = sorted(set([p[pitches_index] for p in c if p[channels_index] != 9]), reverse=True) + + if len(tones_chord) == 2: + tones_counts = Counter([p % 12 for p in pitches_chord]).most_common() + + if tones_counts[0][1] > 1: + good_tone = tones_counts[0][0] + bad_tone = tones_counts[1][0] + + elif tones_counts[1][1] > 1: + good_tone = tones_counts[1][0] + bad_tone = tones_counts[0][0] + + else: + good_tone = pitches_chord[0] % 12 + bad_tone = [t for t in tones_chord if t != good_tone][0] + + tones_chord = [good_tone] + + if fix_bad_tones_chords: + + if good_tone > bad_tone: + + if sorted([good_tone, (12+(bad_tone+1)) % 12]) in CHORDS: + tones_chord = sorted([good_tone, (12+(bad_tone-1)) % 12]) + + elif sorted([good_tone, (12+(bad_tone-1)) % 12]) in CHORDS: + tones_chord = sorted([good_tone, (12+(bad_tone+1)) % 12]) + + else: + + if sorted([good_tone, (12+(bad_tone-1)) % 12]) in CHORDS: + tones_chord = sorted([good_tone, (12+(bad_tone-1)) % 12]) + + elif sorted([good_tone, (12+(bad_tone+1)) % 12]) in CHORDS: + tones_chord = sorted([good_tone, (12+(bad_tone+1)) % 12]) + + if len(tones_chord) > 2: + tones_chord_combs = [list(comb) for i in range(len(tones_chord)-1, 0, -1) for comb in combinations(tones_chord, i)] + + for co in tones_chord_combs: + if co in CHORDS: + break + + if fix_bad_tones_chords: + + dt_chord = list(set(co) ^ set(tones_chord)) + + for t in dt_chord: + tones_chord.append((12+(t+1)) % 12) + tones_chord.append((12+(t-1)) % 12) + + ex_tones_chord = sorted(set(tones_chord)) + + tones_chord_combs = [list(comb) for i in range(4, 0, -2) for comb in combinations(ex_tones_chord, i) if all(t in list(comb) for t in co)] + + for eco in tones_chord_combs: + if eco in CHORDS: + tones_chord = eco + break + + else: + tones_chord = co + + if len(tones_chord) == 1: + tones_chord = [pitches_chord[0] % 12] + + bad_chords_counter += 1 + + chord.sort(key = lambda x: x[pitches_index], reverse=True) + + new_chord = set() + pipa = [] + + for e in chord: + if e[channels_index] != 9: + if e[pitches_index] % 12 in tones_chord: + new_chord.add(tuple(e)) + pipa.append([e[pitches_index], e[patches_index]]) + + elif (e[pitches_index]+1) % 12 in tones_chord: + e[pitches_index] += 1 + new_chord.add(tuple(e)) + pipa.append([e[pitches_index], e[patches_index]]) + + elif (e[pitches_index]-1) % 12 in tones_chord: + e[pitches_index] -= 1 + new_chord.add(tuple(e)) + pipa.append([e[pitches_index], e[patches_index]]) + + if fix_bad_pitches: + + bad_chord = set() + + for e in chord: + if e[channels_index] != 9: + + if e[pitches_index] % 12 not in tones_chord: + bad_chord.add(tuple(e)) + + elif (e[pitches_index]+1) % 12 not in tones_chord: + bad_chord.add(tuple(e)) + + elif (e[pitches_index]-1) % 12 not in tones_chord: + bad_chord.add(tuple(e)) + + for bc in bad_chord: + + bc = list(bc) + + tone = find_closest_tone(tones_chord, bc[pitches_index] % 12) + + new_pitch = ((bc[pitches_index] // 12) * 12) + tone + + if [new_pitch, bc[patches_index]] not in pipa: + bc[pitches_index] = new_pitch + new_chord.add(tuple(bc)) + pipa.append([[new_pitch], bc[patches_index]]) + + if not skip_drums: + for e in c: + if e[channels_index] == 9: + new_chord.add(tuple(e)) + + new_chord = [list(e) for e in new_chord] + + new_chord.sort(key = lambda x: (-x[pitches_index], x[patches_index])) + + fixed_chordified_score.append(new_chord) + + return fixed_chordified_score, bad_chords_counter, duplicate_pitches_counter + +################################################################################### + +def score_chord_to_tones_chord(chord, + transpose_value=0, + channels_index=3, + pitches_index=4): + + return sorted(set([(p[4]+transpose_value) % 12 for p in chord if p[channels_index] != 9])) + +################################################################################### + +def grouped_set(seq): + return [k for k, v in groupby(seq)] + +################################################################################### + +def ordered_set(seq): + dic = {} + return [k for k, v in dic.fromkeys(seq).items()] + +################################################################################### + +def add_melody_to_enhanced_score_notes(enhanced_score_notes, + melody_start_time=0, + melody_start_chord=0, + melody_notes_min_duration=-1, + melody_notes_max_duration=255, + melody_duration_overlap_tolerance=4, + melody_avg_duration_divider=2, + melody_base_octave=5, + melody_channel=3, + melody_patch=40, + melody_max_velocity=110, + acc_max_velocity=90, + pass_drums=True, + return_melody=False + ): + + if pass_drums: + score = copy.deepcopy(enhanced_score_notes) + else: + score = [e for e in copy.deepcopy(enhanced_score_notes) if e[3] !=9] + + if melody_notes_min_duration > 0: + min_duration = melody_notes_min_duration + else: + durs = [d[2] for d in score] + min_duration = Counter(durs).most_common()[0][0] + + adjust_score_velocities(score, acc_max_velocity) + + cscore = chordify_score([1000, score]) + + melody_score = [] + acc_score = [] + + pt = melody_start_time + + for c in cscore[:melody_start_chord]: + acc_score.extend(c) + + for c in cscore[melody_start_chord:]: + + durs = [d[2] if d[3] != 9 else -1 for d in c] + + if not all(d == -1 for d in durs): + ndurs = [d for d in durs if d != -1] + avg_dur = (sum(ndurs) / len(ndurs)) / melody_avg_duration_divider + best_dur = min(durs, key=lambda x:abs(x-avg_dur)) + pidx = durs.index(best_dur) + + cc = copy.deepcopy(c[pidx]) + + if c[0][1] >= pt - melody_duration_overlap_tolerance and best_dur >= min_duration: + + cc[3] = melody_channel + cc[4] = (c[pidx][4] % 24) + cc[5] = 100 + ((c[pidx][4] % 12) * 2) + cc[6] = melody_patch + + melody_score.append(cc) + acc_score.extend(c) + + pt = c[0][1]+c[pidx][2] + + else: + acc_score.extend(c) + + else: + acc_score.extend(c) + + values = [e[4] % 24 for e in melody_score] + smoothed = [values[0]] + for i in range(1, len(values)): + if abs(smoothed[-1] - values[i]) >= 12: + if smoothed[-1] < values[i]: + smoothed.append(values[i] - 12) + else: + smoothed.append(values[i] + 12) + else: + smoothed.append(values[i]) + + smoothed_melody = copy.deepcopy(melody_score) + + for i, e in enumerate(smoothed_melody): + e[4] = (melody_base_octave * 12) + smoothed[i] + + for i, m in enumerate(smoothed_melody[1:]): + if m[1] - smoothed_melody[i][1] < melody_notes_max_duration: + smoothed_melody[i][2] = m[1] - smoothed_melody[i][1] + + adjust_score_velocities(smoothed_melody, melody_max_velocity) + + if return_melody: + final_score = sorted(smoothed_melody, key=lambda x: (x[1], -x[4])) + + else: + final_score = sorted(smoothed_melody + acc_score, key=lambda x: (x[1], -x[4])) + + return final_score + +################################################################################### + +def find_paths(list_of_lists, path=[]): + if not list_of_lists: + return [path] + return [p for sublist in list_of_lists[0] for p in find_paths(list_of_lists[1:], path+[sublist])] + +################################################################################### + +def recalculate_score_timings(score, + start_time=0, + timings_index=1 + ): + + rscore = copy.deepcopy(score) + + pe = rscore[0] + + abs_time = start_time + + for e in rscore: + + dtime = e[timings_index] - pe[timings_index] + pe = copy.deepcopy(e) + abs_time += dtime + e[timings_index] = abs_time + + return rscore + +################################################################################### + +WHITE_NOTES = [0, 2, 4, 5, 7, 9, 11] +BLACK_NOTES = [1, 3, 6, 8, 10] + +################################################################################### + +ALL_CHORDS_FILTERED = [[0], [0, 3], [0, 3, 5], [0, 3, 5, 8], [0, 3, 5, 9], [0, 3, 5, 10], [0, 3, 7], + [0, 3, 7, 10], [0, 3, 8], [0, 3, 9], [0, 3, 10], [0, 4], [0, 4, 6], + [0, 4, 6, 9], [0, 4, 6, 10], [0, 4, 7], [0, 4, 7, 10], [0, 4, 8], [0, 4, 9], + [0, 4, 10], [0, 5], [0, 5, 8], [0, 5, 9], [0, 5, 10], [0, 6], [0, 6, 9], + [0, 6, 10], [0, 7], [0, 7, 10], [0, 8], [0, 9], [0, 10], [1], [1, 4], + [1, 4, 6], [1, 4, 6, 9], [1, 4, 6, 10], [1, 4, 6, 11], [1, 4, 7], + [1, 4, 7, 10], [1, 4, 7, 11], [1, 4, 8], [1, 4, 8, 11], [1, 4, 9], [1, 4, 10], + [1, 4, 11], [1, 5], [1, 5, 8], [1, 5, 8, 11], [1, 5, 9], [1, 5, 10], + [1, 5, 11], [1, 6], [1, 6, 9], [1, 6, 10], [1, 6, 11], [1, 7], [1, 7, 10], + [1, 7, 11], [1, 8], [1, 8, 11], [1, 9], [1, 10], [1, 11], [2], [2, 5], + [2, 5, 8], [2, 5, 8, 11], [2, 5, 9], [2, 5, 10], [2, 5, 11], [2, 6], [2, 6, 9], + [2, 6, 10], [2, 6, 11], [2, 7], [2, 7, 10], [2, 7, 11], [2, 8], [2, 8, 11], + [2, 9], [2, 10], [2, 11], [3], [3, 5], [3, 5, 8], [3, 5, 8, 11], [3, 5, 9], + [3, 5, 10], [3, 5, 11], [3, 7], [3, 7, 10], [3, 7, 11], [3, 8], [3, 8, 11], + [3, 9], [3, 10], [3, 11], [4], [4, 6], [4, 6, 9], [4, 6, 10], [4, 6, 11], + [4, 7], [4, 7, 10], [4, 7, 11], [4, 8], [4, 8, 11], [4, 9], [4, 10], [4, 11], + [5], [5, 8], [5, 8, 11], [5, 9], [5, 10], [5, 11], [6], [6, 9], [6, 10], + [6, 11], [7], [7, 10], [7, 11], [8], [8, 11], [9], [10], [11]] + +################################################################################### + +def harmonize_enhanced_melody_score_notes(enhanced_melody_score_notes): + + mel_tones = [e[4] % 12 for e in enhanced_melody_score_notes] + + cur_chord = [] + + song = [] + + for i, m in enumerate(mel_tones): + cur_chord.append(m) + cc = sorted(set(cur_chord)) + + if cc in ALL_CHORDS_FULL: + song.append(cc) + + else: + while sorted(set(cur_chord)) not in ALL_CHORDS_FULL: + cur_chord.pop(0) + cc = sorted(set(cur_chord)) + song.append(cc) + + return song + +################################################################################### + +def split_melody(enhanced_melody_score_notes, + split_time=-1, + max_score_time=255 + ): + + mel_chunks = [] + + if split_time == -1: + + durs = [max(0, min(max_score_time, e[2])) for e in enhanced_melody_score_notes] + stime = max(durs) + + else: + stime = split_time + + pe = enhanced_melody_score_notes[0] + chu = [] + + for e in enhanced_melody_score_notes: + dtime = max(0, min(max_score_time, e[1]-pe[1])) + + if dtime > max(durs): + if chu: + mel_chunks.append(chu) + chu = [] + chu.append(e) + else: + chu.append(e) + + pe = e + + if chu: + mel_chunks.append(chu) + + return mel_chunks, [[m[0][1], m[-1][1]] for m in mel_chunks], len(mel_chunks) + +################################################################################### + +def flatten(list_of_lists): + return [x for y in list_of_lists for x in y] + +################################################################################### + +def enhanced_delta_score_notes(enhanced_score_notes, + start_time=0, + max_score_time=255 + ): + + delta_score = [] + + pe = ['note', max(0, enhanced_score_notes[0][1]-start_time)] + + for e in enhanced_score_notes: + + dtime = max(0, min(max_score_time, e[1]-pe[1])) + dur = max(1, min(max_score_time, e[2])) + cha = max(0, min(15, e[3])) + ptc = max(1, min(127, e[4])) + vel = max(1, min(127, e[5])) + pat = max(0, min(128, e[6])) + + delta_score.append([dtime, dur, cha, ptc, vel, pat]) + + pe = e + + return delta_score + +################################################################################### + +def basic_enhanced_delta_score_notes_tokenizer(enhanced_delta_score_notes, + tokenize_start_times=True, + tokenize_durations=True, + tokenize_channels=True, + tokenize_pitches=True, + tokenize_velocities=True, + tokenize_patches=True, + score_timings_range=256, + max_seq_len=-1, + seq_pad_value=-1 + ): + + + + score_tokens_ints_seq = [] + + tokens_shifts = [-1] * 7 + + for d in enhanced_delta_score_notes: + + seq = [] + shift = 0 + + if tokenize_start_times: + seq.append(d[0]) + tokens_shifts[0] = shift + shift += score_timings_range + + if tokenize_durations: + seq.append(d[1]+shift) + tokens_shifts[1] = shift + shift += score_timings_range + + if tokenize_channels: + tokens_shifts[2] = shift + seq.append(d[2]+shift) + shift += 16 + + if tokenize_pitches: + tokens_shifts[3] = shift + seq.append(d[3]+shift) + shift += 128 + + if tokenize_velocities: + tokens_shifts[4] = shift + seq.append(d[4]+shift) + shift += 128 + + if tokenize_patches: + tokens_shifts[5] = shift + seq.append(d[5]+shift) + shift += 129 + + tokens_shifts[6] = shift + score_tokens_ints_seq.append(seq) + + final_score_tokens_ints_seq = flatten(score_tokens_ints_seq) + + if max_seq_len > -1: + final_score_tokens_ints_seq = final_score_tokens_ints_seq[:max_seq_len] + + if seq_pad_value > -1: + final_score_tokens_ints_seq += [seq_pad_value] * (max_seq_len - len(final_score_tokens_ints_seq)) + + return [score_tokens_ints_seq, + final_score_tokens_ints_seq, + tokens_shifts, + seq_pad_value, + max_seq_len, + len(score_tokens_ints_seq), + len(final_score_tokens_ints_seq) + ] + +################################################################################### + +def basic_enhanced_delta_score_notes_detokenizer(tokenized_seq, + tokens_shifts, + timings_multiplier=16 + ): + + song_f = [] + + time = 0 + dur = 16 + channel = 0 + pitch = 60 + vel = 90 + pat = 0 + + note_seq_len = len([t for t in tokens_shifts if t > -1])-1 + tok_shifts_idxs = [i for i in range(len(tokens_shifts[:-1])) if tokens_shifts[i] > - 1] + + song = [] + + for i in range(0, len(tokenized_seq), note_seq_len): + note = tokenized_seq[i:i+note_seq_len] + song.append(note) + + for note in song: + for i, idx in enumerate(tok_shifts_idxs): + if idx == 0: + time += (note[i]-tokens_shifts[0]) * timings_multiplier + elif idx == 1: + dur = (note[i]-tokens_shifts[1]) * timings_multiplier + elif idx == 2: + channel = (note[i]-tokens_shifts[2]) + elif idx == 3: + pitch = (note[i]-tokens_shifts[3]) + elif idx == 4: + vel = (note[i]-tokens_shifts[4]) + elif idx == 5: + pat = (note[i]-tokens_shifts[5]) + + song_f.append(['note', time, dur, channel, pitch, vel, pat ]) + + return song_f + +################################################################################### + +def enhanced_chord_to_chord_token(enhanced_chord, + channels_index=3, + pitches_index=4, + use_filtered_chords=False, + use_full_chords=True + ): + + bad_chords_counter = 0 + duplicate_pitches_counter = 0 + + if use_filtered_chords: + CHORDS = ALL_CHORDS_FILTERED + else: + CHORDS = ALL_CHORDS_SORTED + + if use_full_chords: + CHORDS = ALL_CHORDS_FULL + + tones_chord = sorted(set([t[pitches_index] % 12 for t in enhanced_chord if t[channels_index] != 9])) + + original_tones_chord = copy.deepcopy(tones_chord) + + if tones_chord: + + if tones_chord not in CHORDS: + + pitches_chord = sorted(set([p[pitches_index] for p in enhanced_chord if p[channels_index] != 9]), reverse=True) + + if len(tones_chord) == 2: + tones_counts = Counter([p % 12 for p in pitches_chord]).most_common() + + if tones_counts[0][1] > 1: + tones_chord = [tones_counts[0][0]] + elif tones_counts[1][1] > 1: + tones_chord = [tones_counts[1][0]] + else: + tones_chord = [pitches_chord[0] % 12] + + else: + tones_chord_combs = [list(comb) for i in range(len(tones_chord)-2, 0, -1) for comb in combinations(tones_chord, i+1)] + + for co in tones_chord_combs: + if co in CHORDS: + tones_chord = co + break + + if use_filtered_chords: + chord_token = ALL_CHORDS_FILTERED.index(tones_chord) + else: + chord_token = ALL_CHORDS_SORTED.index(tones_chord) + + return [chord_token, tones_chord, original_tones_chord, sorted(set(original_tones_chord) ^ set(tones_chord))] + +################################################################################### + +def enhanced_chord_to_tones_chord(enhanced_chord): + return sorted(set([t[4] % 12 for t in enhanced_chord if t[3] != 9])) + +################################################################################### + +import hashlib + +################################################################################### + +def md5_hash(file_path_or_data=None, original_md5_hash=None): + + if type(file_path_or_data) == str: + + with open(file_path_or_data, 'rb') as file_to_check: + data = file_to_check.read() + + if data: + md5 = hashlib.md5(data).hexdigest() + + else: + if file_path_or_data: + md5 = hashlib.md5(file_path_or_data).hexdigest() + + if md5: + + if original_md5_hash: + + if md5 == original_md5_hash: + check = True + else: + check = False + + else: + check = None + + return [md5, check] + + else: + + md5 = None + check = None + + return [md5, check] + +################################################################################### + +ALL_PITCHES_CHORDS_FILTERED = [[67], [64], [62], [69], [60], [65], [59], [70], [66], [63], [68], [61], + [64, 60], [67, 64], [65, 62], [62, 59], [69, 65], [60, 57], [66, 62], [59, 55], + [62, 57], [67, 62], [64, 59], [64, 60, 55], [60, 55], [65, 60], [64, 61], + [69, 64], [66, 62, 57], [69, 66], [62, 59, 55], [64, 60, 57], [62, 58], + [65, 60, 57], [70, 67], [67, 63], [64, 61, 57], [61, 57], [63, 60], [68, 64], + [65, 62, 58], [65, 62, 57], [59, 56], [63, 58], [68, 65], [59, 54, 47, 35], + [70, 65], [66, 61], [64, 59, 56], [65, 61], [64, 59, 55], [63, 59], [61, 58], + [68, 63], [60, 56], [67, 63, 60], [67, 63, 58], [66, 62, 59], [61, 56], + [70, 66], [67, 62, 58], [63, 60, 56], [65, 61, 56], [66, 61, 58], [66, 61, 57], + [65, 60, 56], [65, 61, 58], [65, 59], [68, 64, 61], [66, 60], [64, 58], + [62, 56], [63, 57], [61, 55], [66, 64], [60, 58], [65, 63], [63, 59, 56], + [65, 62, 59], [61, 59], [66, 60, 57], [64, 61, 55], [64, 58, 55], [62, 59, 56], + [64, 60, 58], [63, 60, 57], [64, 60, 58, 55], [65, 62, 56], [64, 61, 58], + [66, 64, 59], [60, 58, 55], [65, 63, 60], [63, 57, 53], [65, 63, 60, 57], + [65, 59, 56], [63, 60, 58, 55], [67, 61, 58], [64, 61, 57, 54], [64, 61, 59], + [70, 65, 60], [68, 65, 63, 60], [63, 60, 58], [65, 63, 58], [69, 66, 64], + [64, 60, 54], [64, 60, 57, 54], [66, 64, 61], [66, 61, 59], [67, 63, 59], + [65, 61, 57], [68, 65, 63], [64, 61, 59, 56], [65, 61, 59], [66, 64, 61, 58], + [64, 61, 58, 55], [64, 60, 56], [65, 61, 59, 56], [66, 62, 58], [61, 59, 56], + [64, 58, 54], [63, 59, 53], [65, 62, 59, 56], [61, 59, 55], [64, 61, 59, 55], + [68, 65, 63, 59], [70, 66, 60], [65, 63, 60, 58], [64, 61, 59, 54], + [70, 64, 60, 54]] + +################################################################################### + +ALL_PITCHES_CHORDS_SORTED = [[60], [62, 60], [63, 60], [64, 60], [64, 62, 60], [65, 60], [65, 62, 60], + [65, 63, 60], [66, 60], [66, 62, 60], [66, 63, 60], [64, 60, 54], + [64, 60, 54, 50], [60, 55], [67, 62, 60], [67, 63, 60], [64, 60, 55], + [65, 60, 55], [64, 62, 60, 55], [67, 65, 62, 60], [67, 65, 63, 60], [60, 56], + [62, 60, 56], [63, 60, 56], [64, 60, 56], [65, 60, 56], [66, 60, 56], + [72, 68, 64, 62], [65, 62, 60, 56], [66, 62, 60, 56], [68, 65, 63, 60], + [68, 66, 63, 60], [60, 44, 42, 40], [88, 80, 74, 66, 60, 56], [60, 57], + [62, 60, 57], [63, 60, 57], [64, 60, 57], [65, 60, 57], [66, 60, 57], + [67, 60, 57], [64, 62, 60, 57], [65, 62, 60, 57], [69, 66, 62, 60], + [67, 62, 60, 57], [65, 63, 60, 57], [66, 63, 60, 57], [67, 63, 60, 57], + [64, 60, 57, 54], [67, 64, 60, 57], [67, 65, 60, 57], [69, 64, 60, 54, 38], + [67, 64, 62, 60, 57], [67, 65, 62, 60, 57], [67, 65, 63, 60, 57], [60, 58], + [62, 60, 58], [63, 60, 58], [64, 60, 58], [70, 65, 60], [70, 66, 60], + [60, 58, 55], [70, 60, 56], [74, 64, 60, 58], [65, 62, 60, 58], + [70, 66, 62, 60], [62, 60, 58, 55], [72, 68, 62, 58], [65, 63, 60, 58], + [70, 66, 63, 60], [63, 60, 58, 55], [70, 63, 60, 56], [70, 64, 60, 54], + [64, 60, 58, 55], [68, 64, 60, 58], [65, 60, 58, 55], [70, 65, 60, 56], + [70, 66, 60, 56], [78, 76, 74, 72, 70, 66], [67, 64, 62, 58, 36], + [74, 68, 64, 58, 48], [65, 62, 58, 55, 36], [65, 62, 60, 56, 46], + [72, 66, 62, 56, 46], [79, 65, 63, 58, 53, 36], [65, 60, 56, 51, 46, 41], + [70, 66, 63, 60, 44], [68, 66, 64, 58, 56, 48], + [94, 92, 90, 88, 86, 84, 82, 80, 78, 76, 74, 72, 70, 68, 66, 64, 62, 60, 58, + 56, 54, 52, 50, 48, 46, 44, 42, 40, 38, 36, 34, 32, 30, 28, 26, 24], + [61], [63, 61], [64, 61], [65, 61], [65, 63, 61], [66, 61], [66, 63, 61], + [66, 64, 61], [61, 55], [67, 63, 61], [64, 61, 55], [65, 61, 55], + [65, 61, 55, 39], [61, 56], [63, 61, 56], [68, 64, 61], [65, 61, 56], + [66, 61, 56], [68, 65, 63, 61], [54, 49, 44, 39], [68, 64, 61, 42], [61, 57], + [63, 61, 57], [64, 61, 57], [65, 61, 57], [66, 61, 57], [67, 61, 57], + [69, 65, 63, 61], [66, 63, 61, 57], [67, 63, 61, 57], [64, 61, 57, 54], + [67, 64, 61, 57], [65, 61, 55, 45], [67, 65, 63, 61, 57], [61, 58], + [63, 61, 58], [64, 61, 58], [65, 61, 58], [66, 61, 58], [67, 61, 58], + [61, 58, 56], [65, 63, 61, 58], [66, 63, 61, 58], [67, 63, 61, 58], + [63, 61, 58, 56], [66, 64, 61, 58], [64, 61, 58, 55], [68, 64, 61, 58], + [65, 61, 58, 55], [65, 61, 58, 56], [58, 54, 49, 44], [70, 65, 61, 55, 39], + [80, 68, 65, 63, 61, 58], [63, 58, 54, 49, 44, 39], [73, 68, 64, 58, 54], + [61, 59], [63, 61, 59], [64, 61, 59], [65, 61, 59], [66, 61, 59], [61, 59, 55], + [61, 59, 56], [61, 59, 57], [63, 59, 53, 49], [66, 63, 61, 59], + [71, 67, 63, 61], [63, 61, 59, 56], [61, 57, 51, 47], [64, 61, 59, 54], + [64, 61, 59, 55], [64, 61, 59, 56], [64, 61, 59, 57], [65, 61, 59, 55], + [65, 61, 59, 56], [69, 65, 61, 59], [66, 61, 59, 56], [71, 66, 61, 57], + [71, 67, 61, 57], [67, 63, 59, 53, 49], [68, 65, 63, 59, 37], + [65, 63, 61, 59, 57], [66, 63, 61, 59, 56], [73, 69, 66, 63, 59], + [79, 75, 73, 61, 59, 33], [61, 56, 52, 47, 42, 35], [76, 73, 69, 66, 35], + [71, 67, 64, 61, 57], [73, 71, 69, 67, 65], + [95, 93, 91, 89, 87, 85, 83, 81, 79, 77, 75, 73, 71, 69, 67, 65, 63, 61, 59, + 57, 55, 53, 51, 49, 47, 45, 43, 41, 39, 37, 35, 33, 31, 29, 27, 25], + [62], [64, 62], [65, 62], [66, 62], [66, 64, 62], [67, 62], [67, 64, 62], + [67, 65, 62], [62, 56], [68, 64, 62], [65, 62, 56], [66, 62, 56], + [66, 62, 56, 52], [62, 57], [50, 45, 40], [65, 62, 57], [66, 62, 57], + [55, 50, 45], [66, 64, 62, 57], [55, 50, 45, 40], [69, 67, 65, 62], [62, 58], + [64, 62, 58], [65, 62, 58], [66, 62, 58], [67, 62, 58], [62, 58, 56], + [66, 64, 62, 58], [67, 64, 62, 58], [64, 62, 58, 56], [65, 62, 58, 55], + [65, 62, 58, 56], [66, 62, 58, 56], [66, 64, 58, 44, 38], [62, 59], + [64, 62, 59], [65, 62, 59], [66, 62, 59], [62, 59, 55], [62, 59, 56], + [62, 59, 57], [66, 64, 62, 59], [67, 64, 62, 59], [64, 62, 59, 56], + [64, 62, 59, 57], [67, 65, 62, 59], [65, 62, 59, 56], [69, 65, 62, 59], + [66, 62, 59, 56], [69, 66, 62, 59], [59, 55, 50, 45], [64, 62, 59, 56, 54], + [69, 66, 62, 59, 40], [64, 59, 55, 50, 45, 40], [69, 65, 62, 59, 55], [63], + [65, 63], [66, 63], [67, 63], [67, 65, 63], [68, 63], [68, 65, 63], + [68, 66, 63], [63, 57], [63, 57, 53], [66, 63, 57], [67, 63, 57], + [67, 63, 57, 53], [63, 58], [65, 63, 58], [66, 63, 58], [67, 63, 58], + [68, 63, 58], [67, 65, 63, 58], [63, 58, 56, 53], [70, 68, 66, 63], [63, 59], + [63, 59, 53], [66, 63, 59], [67, 63, 59], [63, 59, 56], [63, 59, 57], + [63, 59, 55, 53], [68, 65, 63, 59], [69, 65, 63, 59], [66, 63, 59, 56], + [66, 63, 59, 57], [67, 63, 59, 57], [67, 63, 59, 57, 41], [64], [66, 64], + [67, 64], [68, 64], [68, 66, 64], [69, 64], [69, 66, 64], [69, 67, 64], + [64, 58], [64, 58, 54], [64, 58, 55], [68, 64, 58], [68, 64, 58, 42], [64, 59], + [66, 64, 59], [64, 59, 55], [64, 59, 56], [64, 59, 57], [64, 59, 56, 54], + [64, 59, 57, 54], [69, 64, 59, 55], [65], [67, 65], [68, 65], [69, 65], + [69, 67, 65], [70, 65], [65, 58, 55], [70, 68, 65], [65, 59], [65, 59, 55], + [65, 59, 56], [59, 57, 53], [69, 65, 59, 55], [66], [68, 66], [69, 66], + [70, 66], [80, 70, 54], [59, 54, 47, 35], [66, 59, 56], [71, 69, 66], [67], + [69, 67], [70, 67], [59, 55], [71, 69, 67], [68], [70, 68], [59, 56], [69], + [71, 69], [70], [59]] + +################################################################################### + +def sort_list_by_other(list1, list2): + return sorted(list1, key=lambda x: list2.index(x) if x in list2 else len(list2)) + +################################################################################### + +ALL_CHORDS_PAIRS_SORTED = [[[0], [0, 4, 7]], [[0, 2], [0, 4, 7]], [[0, 3], [0, 3, 7]], + [[0, 4], [0, 4, 7]], [[0, 2, 4], [0, 2, 4, 7]], [[0, 5], [0, 5, 9]], + [[0, 2, 5], [0, 2, 5, 9]], [[0, 3, 5], [0, 3, 5, 9]], [[0, 6], [0, 2, 6, 9]], + [[0, 2, 6], [0, 2, 6, 9]], [[0, 3, 6], [0, 3, 6, 8]], + [[0, 4, 6], [0, 4, 6, 9]], [[0, 2, 4, 6], [0, 2, 4, 6, 9]], + [[0, 7], [0, 4, 7]], [[0, 2, 7], [0, 2, 4, 7]], [[0, 3, 7], [0, 3, 7, 10]], + [[0, 4, 7], [0, 4, 7, 9]], [[0, 5, 7], [0, 5, 7, 9]], + [[0, 2, 4, 7], [0, 2, 4, 7, 9]], [[0, 2, 5, 7], [0, 2, 5, 7, 9]], + [[0, 3, 5, 7], [0, 3, 5, 7, 10]], [[0, 8], [0, 3, 8]], + [[0, 2, 8], [0, 2, 5, 8]], [[0, 3, 8], [0, 3, 5, 8]], + [[0, 4, 8], [2, 4, 8, 11]], [[0, 5, 8], [0, 3, 5, 8]], + [[0, 6, 8], [0, 3, 6, 8]], [[0, 2, 4, 8], [0, 2, 4, 6, 8]], + [[0, 2, 5, 8], [0, 2, 5, 8, 10]], [[0, 2, 6, 8], [0, 2, 6, 8, 10]], + [[0, 3, 5, 8], [0, 3, 5, 8, 10]], [[0, 3, 6, 8], [0, 3, 6, 8, 10]], + [[0, 4, 6, 8], [2, 4, 6, 8, 11]], [[0, 2, 4, 6, 8], [2, 4, 6, 8, 11]], + [[0, 9], [0, 4, 9]], [[0, 2, 9], [0, 2, 6, 9]], [[0, 3, 9], [0, 3, 5, 9]], + [[0, 4, 9], [0, 4, 7, 9]], [[0, 5, 9], [0, 2, 5, 9]], + [[0, 6, 9], [0, 2, 6, 9]], [[0, 7, 9], [0, 4, 7, 9]], + [[0, 2, 4, 9], [0, 2, 4, 7, 9]], [[0, 2, 5, 9], [0, 2, 5, 7, 9]], + [[0, 2, 6, 9], [0, 2, 4, 6, 9]], [[0, 2, 7, 9], [0, 2, 4, 7, 9]], + [[0, 3, 5, 9], [0, 3, 5, 7, 9]], [[0, 3, 6, 9], [0, 2, 4, 6, 9]], + [[0, 3, 7, 9], [0, 3, 5, 7, 9]], [[0, 4, 6, 9], [0, 2, 4, 6, 9]], + [[0, 4, 7, 9], [0, 2, 4, 7, 9]], [[0, 5, 7, 9], [0, 2, 5, 7, 9]], + [[0, 2, 4, 6, 9], [2, 4, 6, 9, 11]], [[0, 2, 4, 7, 9], [2, 4, 7, 9, 11]], + [[0, 2, 5, 7, 9], [2, 5, 7, 9, 11]], [[0, 3, 5, 7, 9], [2, 4, 6, 8, 11]], + [[0, 10], [2, 5, 10]], [[0, 2, 10], [0, 2, 5, 10]], + [[0, 3, 10], [0, 3, 7, 10]], [[0, 4, 10], [0, 4, 7, 10]], + [[0, 5, 10], [0, 2, 5, 10]], [[0, 6, 10], [0, 3, 6, 10]], + [[0, 7, 10], [0, 4, 7, 10]], [[0, 8, 10], [0, 3, 8, 10]], + [[0, 2, 4, 10], [0, 2, 4, 7, 10]], [[0, 2, 5, 10], [0, 2, 5, 7, 10]], + [[0, 2, 6, 10], [0, 2, 6, 8, 10]], [[0, 2, 7, 10], [0, 2, 5, 7, 10]], + [[0, 2, 8, 10], [0, 2, 5, 8, 10]], [[0, 3, 5, 10], [0, 3, 5, 7, 10]], + [[0, 3, 6, 10], [0, 3, 6, 8, 10]], [[0, 3, 7, 10], [0, 3, 5, 7, 10]], + [[0, 3, 8, 10], [0, 3, 5, 8, 10]], [[0, 4, 6, 10], [0, 2, 4, 6, 10]], + [[0, 4, 7, 10], [0, 2, 4, 7, 10]], [[0, 4, 8, 10], [0, 2, 4, 8, 10]], + [[0, 5, 7, 10], [0, 3, 5, 7, 10]], [[0, 5, 8, 10], [0, 3, 5, 8, 10]], + [[0, 6, 8, 10], [0, 3, 6, 8, 10]], [[0, 2, 4, 6, 10], [0, 2, 4, 8, 10]], + [[0, 2, 4, 7, 10], [1, 3, 6, 9, 11]], [[0, 2, 4, 8, 10], [1, 3, 7, 9, 11]], + [[0, 2, 5, 7, 10], [0, 3, 5, 7, 10]], [[0, 2, 5, 8, 10], [1, 4, 7, 9, 11]], + [[0, 2, 6, 8, 10], [2, 4, 6, 8, 10]], [[0, 3, 5, 7, 10], [0, 2, 5, 7, 10]], + [[0, 3, 5, 8, 10], [1, 3, 5, 8, 10]], [[0, 3, 6, 8, 10], [1, 3, 6, 8, 10]], + [[0, 4, 6, 8, 10], [0, 2, 4, 6, 9]], + [[0, 2, 4, 6, 8, 10], [1, 3, 5, 7, 9, 11]], [[1], [1, 8]], [[1, 3], [1, 5, 8]], + [[1, 4], [1, 4, 9]], [[1, 5], [1, 5, 8]], [[1, 3, 5], [1, 3, 5, 10]], + [[1, 6], [1, 6, 10]], [[1, 3, 6], [1, 3, 6, 10]], [[1, 4, 6], [1, 4, 6, 9]], + [[1, 7], [1, 4, 7]], [[1, 3, 7], [1, 3, 7, 10]], [[1, 4, 7], [1, 4, 7, 9]], + [[1, 5, 7], [1, 5, 7, 10]], [[1, 3, 5, 7], [1, 3, 5, 7, 10]], + [[1, 8], [1, 5, 8]], [[1, 3, 8], [1, 3, 5, 8]], [[1, 4, 8], [1, 4, 8, 11]], + [[1, 5, 8], [1, 5, 8, 10]], [[1, 6, 8], [1, 3, 6, 8]], + [[1, 3, 5, 8], [1, 3, 5, 8, 10]], [[1, 3, 6, 8], [1, 3, 6, 8, 10]], + [[1, 4, 6, 8], [1, 4, 6, 8, 11]], [[1, 9], [1, 4, 9]], + [[1, 3, 9], [1, 3, 6, 9]], [[1, 4, 9], [1, 4, 6, 9]], + [[1, 5, 9], [0, 3, 5, 9]], [[1, 6, 9], [1, 4, 6, 9]], + [[1, 7, 9], [1, 4, 7, 9]], [[1, 3, 5, 9], [0, 3, 5, 7, 9]], + [[1, 3, 6, 9], [1, 3, 6, 9, 11]], [[1, 3, 7, 9], [1, 3, 5, 7, 9]], + [[1, 4, 6, 9], [1, 4, 6, 9, 11]], [[1, 4, 7, 9], [1, 4, 7, 9, 11]], + [[1, 5, 7, 9], [1, 3, 7, 9, 11]], [[1, 3, 5, 7, 9], [2, 4, 6, 8, 11]], + [[1, 10], [1, 5, 10]], [[1, 3, 10], [1, 3, 7, 10]], + [[1, 4, 10], [1, 4, 6, 10]], [[1, 5, 10], [1, 5, 8, 10]], + [[1, 6, 10], [1, 4, 6, 10]], [[1, 7, 10], [1, 3, 7, 10]], + [[1, 8, 10], [1, 5, 8, 10]], [[1, 3, 5, 10], [1, 3, 5, 8, 10]], + [[1, 3, 6, 10], [1, 3, 6, 8, 10]], [[1, 3, 7, 10], [1, 3, 5, 7, 10]], + [[1, 3, 8, 10], [1, 3, 5, 8, 10]], [[1, 4, 6, 10], [1, 4, 6, 8, 10]], + [[1, 4, 7, 10], [0, 2, 4, 7, 10]], [[1, 4, 8, 10], [1, 4, 6, 8, 10]], + [[1, 5, 7, 10], [1, 3, 5, 7, 10]], [[1, 5, 8, 10], [1, 3, 5, 8, 10]], + [[1, 6, 8, 10], [1, 3, 6, 8, 10]], [[1, 3, 5, 7, 10], [2, 4, 6, 8, 11]], + [[1, 3, 5, 8, 10], [0, 3, 5, 8, 10]], [[1, 3, 6, 8, 10], [0, 3, 6, 8, 10]], + [[1, 4, 6, 8, 10], [0, 3, 5, 7, 9]], [[1, 11], [2, 6, 11]], + [[1, 3, 11], [1, 3, 6, 11]], [[1, 4, 11], [1, 4, 8, 11]], + [[1, 5, 11], [1, 5, 8, 11]], [[1, 6, 11], [1, 4, 6, 11]], + [[1, 7, 11], [1, 4, 7, 11]], [[1, 8, 11], [1, 4, 8, 11]], + [[1, 9, 11], [1, 4, 9, 11]], [[1, 3, 5, 11], [1, 3, 5, 8, 11]], + [[1, 3, 6, 11], [1, 3, 6, 8, 11]], [[1, 3, 7, 11], [1, 3, 7, 9, 11]], + [[1, 3, 8, 11], [1, 3, 6, 8, 11]], [[1, 3, 9, 11], [1, 3, 6, 9, 11]], + [[1, 4, 6, 11], [1, 4, 6, 9, 11]], [[1, 4, 7, 11], [1, 4, 7, 9, 11]], + [[1, 4, 8, 11], [1, 4, 6, 8, 11]], [[1, 4, 9, 11], [1, 4, 6, 9, 11]], + [[1, 5, 7, 11], [0, 4, 6, 8, 10]], [[1, 5, 8, 11], [1, 3, 5, 8, 11]], + [[1, 5, 9, 11], [1, 5, 7, 9, 11]], [[1, 6, 8, 11], [1, 3, 6, 8, 11]], + [[1, 6, 9, 11], [1, 4, 6, 9, 11]], [[1, 7, 9, 11], [1, 4, 7, 9, 11]], + [[1, 3, 5, 7, 11], [0, 2, 4, 6, 8]], [[1, 3, 5, 8, 11], [0, 2, 4, 7, 10]], + [[1, 3, 5, 9, 11], [1, 3, 7, 9, 11]], [[1, 3, 6, 8, 11], [1, 4, 6, 8, 11]], + [[1, 3, 6, 9, 11], [0, 2, 5, 8, 10]], [[1, 3, 7, 9, 11], [1, 3, 6, 9, 11]], + [[1, 4, 6, 8, 11], [1, 4, 6, 9, 11]], [[1, 4, 6, 9, 11], [2, 4, 6, 9, 11]], + [[1, 4, 7, 9, 11], [2, 4, 7, 9, 11]], [[1, 5, 7, 9, 11], [2, 4, 7, 9, 11]], + [[1, 3, 5, 7, 9, 11], [0, 2, 4, 6, 8, 10]], [[2], [2, 9]], [[2, 4], [2, 6, 9]], + [[2, 5], [2, 5, 9]], [[2, 6], [2, 6, 9]], [[2, 4, 6], [2, 4, 6, 9]], + [[2, 7], [2, 7, 11]], [[2, 4, 7], [2, 4, 7, 11]], [[2, 5, 7], [2, 5, 7, 11]], + [[2, 8], [4, 8, 11]], [[2, 4, 8], [2, 4, 8, 11]], [[2, 5, 8], [2, 5, 8, 10]], + [[2, 6, 8], [2, 6, 8, 11]], [[2, 4, 6, 8], [2, 4, 6, 8, 11]], + [[2, 9], [2, 6, 9]], [[2, 4, 9], [2, 4, 6, 9]], [[2, 5, 9], [0, 2, 5, 9]], + [[2, 6, 9], [2, 6, 9, 11]], [[2, 7, 9], [2, 7, 9, 11]], + [[2, 4, 6, 9], [2, 4, 6, 9, 11]], [[2, 4, 7, 9], [2, 4, 7, 9, 11]], + [[2, 5, 7, 9], [0, 2, 5, 7, 9]], [[2, 10], [2, 5, 10]], + [[2, 4, 10], [2, 4, 7, 10]], [[2, 5, 10], [2, 5, 7, 10]], + [[2, 6, 10], [1, 4, 6, 10]], [[2, 7, 10], [2, 5, 7, 10]], + [[2, 8, 10], [2, 5, 8, 10]], [[2, 4, 6, 10], [0, 2, 4, 6, 10]], + [[2, 4, 7, 10], [0, 2, 4, 7, 10]], [[2, 4, 8, 10], [2, 4, 7, 9, 11]], + [[2, 5, 7, 10], [0, 2, 5, 7, 10]], [[2, 5, 8, 10], [0, 2, 5, 8, 10]], + [[2, 6, 8, 10], [1, 3, 5, 7, 10]], [[2, 4, 6, 8, 10], [0, 2, 6, 8, 10]], + [[2, 11], [2, 7, 11]], [[2, 4, 11], [2, 4, 8, 11]], + [[2, 5, 11], [2, 5, 7, 11]], [[2, 6, 11], [2, 6, 9, 11]], + [[2, 7, 11], [2, 4, 7, 11]], [[2, 8, 11], [2, 4, 8, 11]], + [[2, 9, 11], [2, 6, 9, 11]], [[2, 4, 6, 11], [2, 4, 6, 9, 11]], + [[2, 4, 7, 11], [2, 4, 7, 9, 11]], [[2, 4, 8, 11], [2, 4, 6, 8, 11]], + [[2, 4, 9, 11], [2, 4, 7, 9, 11]], [[2, 5, 7, 11], [2, 5, 7, 9, 11]], + [[2, 5, 8, 11], [1, 3, 5, 8, 11]], [[2, 5, 9, 11], [2, 5, 7, 9, 11]], + [[2, 6, 8, 11], [2, 4, 6, 8, 11]], [[2, 6, 9, 11], [2, 4, 6, 9, 11]], + [[2, 7, 9, 11], [2, 4, 7, 9, 11]], [[2, 4, 6, 8, 11], [2, 4, 6, 9, 11]], + [[2, 4, 6, 9, 11], [2, 4, 7, 9, 11]], [[2, 4, 7, 9, 11], [0, 2, 4, 7, 9]], + [[2, 5, 7, 9, 11], [2, 4, 7, 9, 11]], [[3], [3, 10]], [[3, 5], [3, 7, 10]], + [[3, 6], [3, 6, 11]], [[3, 7], [3, 7, 10]], [[3, 5, 7], [3, 5, 7, 10]], + [[3, 8], [0, 3, 8]], [[3, 5, 8], [0, 3, 5, 8]], [[3, 6, 8], [0, 3, 6, 8]], + [[3, 9], [0, 3, 9]], [[3, 5, 9], [0, 3, 5, 9]], [[3, 6, 9], [3, 6, 9, 11]], + [[3, 7, 9], [0, 3, 7, 9]], [[3, 5, 7, 9], [0, 3, 5, 7, 9]], + [[3, 10], [3, 7, 10]], [[3, 5, 10], [3, 5, 7, 10]], + [[3, 6, 10], [1, 3, 6, 10]], [[3, 7, 10], [0, 3, 7, 10]], + [[3, 8, 10], [0, 3, 8, 10]], [[3, 5, 7, 10], [0, 3, 5, 7, 10]], + [[3, 5, 8, 10], [0, 3, 5, 8, 10]], [[3, 6, 8, 10], [1, 3, 6, 8, 10]], + [[3, 11], [3, 6, 11]], [[3, 5, 11], [3, 5, 8, 11]], + [[3, 6, 11], [3, 6, 9, 11]], [[3, 7, 11], [2, 5, 7, 11]], + [[3, 8, 11], [3, 6, 8, 11]], [[3, 9, 11], [3, 6, 9, 11]], + [[3, 5, 7, 11], [3, 5, 7, 9, 11]], [[3, 5, 8, 11], [1, 3, 5, 8, 11]], + [[3, 5, 9, 11], [3, 5, 7, 9, 11]], [[3, 6, 8, 11], [1, 3, 6, 8, 11]], + [[3, 6, 9, 11], [1, 3, 6, 9, 11]], [[3, 7, 9, 11], [2, 4, 7, 9, 11]], + [[3, 5, 7, 9, 11], [2, 5, 7, 9, 11]], [[4], [4, 11]], [[4, 6], [4, 7, 11]], + [[4, 7], [0, 4, 7]], [[4, 8], [4, 8, 11]], [[4, 6, 8], [4, 6, 8, 11]], + [[4, 9], [1, 4, 9]], [[4, 6, 9], [1, 4, 6, 9]], [[4, 7, 9], [1, 4, 7, 9]], + [[4, 10], [4, 7, 10]], [[4, 6, 10], [1, 4, 6, 10]], + [[4, 7, 10], [0, 4, 7, 10]], [[4, 8, 10], [1, 4, 8, 10]], + [[4, 6, 8, 10], [1, 4, 6, 8, 10]], [[4, 11], [4, 8, 11]], + [[4, 6, 11], [4, 6, 8, 11]], [[4, 7, 11], [2, 4, 7, 11]], + [[4, 8, 11], [2, 4, 8, 11]], [[4, 9, 11], [2, 4, 9, 11]], + [[4, 6, 8, 11], [1, 4, 6, 8, 11]], [[4, 6, 9, 11], [2, 4, 6, 9, 11]], + [[4, 7, 9, 11], [2, 4, 7, 9, 11]], [[5], [0, 5, 9]], [[5, 7], [0, 4, 7]], + [[5, 8], [0, 5, 8]], [[5, 9], [0, 5, 9]], [[5, 7, 9], [0, 4, 7, 9]], + [[5, 10], [2, 5, 10]], [[5, 7, 10], [2, 5, 7, 10]], + [[5, 8, 10], [2, 5, 8, 10]], [[5, 11], [0, 5, 9]], [[5, 7, 11], [2, 5, 7, 11]], + [[5, 8, 11], [1, 5, 8, 11]], [[5, 9, 11], [2, 5, 9, 11]], + [[5, 7, 9, 11], [2, 5, 7, 9, 11]], [[6], [1, 6]], [[6, 8], [1, 5, 8]], + [[6, 9], [2, 6, 9]], [[6, 10], [1, 6, 10]], [[6, 8, 10], [1, 5, 8, 10]], + [[6, 11], [3, 6, 11]], [[6, 8, 11], [3, 6, 8, 11]], + [[6, 9, 11], [3, 6, 9, 11]], [[7], [2, 7, 11]], [[7, 9], [2, 6, 9]], + [[7, 10], [2, 7, 10]], [[7, 11], [2, 7, 11]], [[7, 9, 11], [2, 7, 9, 11]], + [[8], [3, 8]], [[8, 10], [3, 7, 10]], [[8, 11], [4, 8, 11]], [[9], [4, 9]], + [[9, 11], [4, 8, 11]], [[10], [2, 5, 10]], [[11], [6, 11]]] + +################################################################################### + +ALL_CHORDS_PAIRS_FILTERED = [[[0], [0, 4, 7]], [[0, 3], [0, 3, 7]], [[0, 3, 5], [0, 3, 5, 9]], + [[0, 3, 5, 8], [0, 3, 7, 10]], [[0, 3, 5, 9], [0, 3, 7, 10]], + [[0, 3, 5, 10], [0, 3, 5, 9]], [[0, 3, 7], [0, 3, 7, 10]], + [[0, 3, 7, 10], [0, 3, 5, 9]], [[0, 3, 8], [0, 3, 5, 8]], + [[0, 3, 9], [0, 3, 5, 9]], [[0, 3, 10], [0, 3, 7, 10]], [[0, 4], [0, 4, 7]], + [[0, 4, 6], [0, 4, 6, 9]], [[0, 4, 6, 9], [1, 4, 6, 9]], + [[0, 4, 6, 10], [0, 4, 7, 10]], [[0, 4, 7], [0, 4, 7, 10]], + [[0, 4, 7, 10], [1, 4, 7, 10]], [[0, 4, 8], [0, 4, 7, 10]], + [[0, 4, 9], [0, 4, 6, 9]], [[0, 4, 10], [0, 4, 7, 10]], [[0, 5], [0, 5, 9]], + [[0, 5, 8], [0, 3, 5, 8]], [[0, 5, 9], [0, 3, 5, 9]], + [[0, 5, 10], [0, 3, 5, 10]], [[0, 6], [0, 6, 9]], [[0, 6, 9], [0, 4, 6, 9]], + [[0, 6, 10], [0, 4, 7, 10]], [[0, 7], [0, 4, 7]], [[0, 7, 10], [0, 4, 7, 10]], + [[0, 8], [0, 3, 8]], [[0, 9], [0, 4, 9]], [[0, 10], [2, 5, 10]], [[1], [1, 8]], + [[1, 4], [1, 4, 9]], [[1, 4, 6], [1, 4, 6, 9]], [[1, 4, 6, 9], [1, 4, 8, 11]], + [[1, 4, 6, 10], [0, 3, 5, 9]], [[1, 4, 6, 11], [1, 4, 6, 9]], + [[1, 4, 7], [1, 4, 7, 10]], [[1, 4, 7, 10], [0, 4, 7, 10]], + [[1, 4, 7, 11], [1, 4, 6, 10]], [[1, 4, 8], [1, 4, 8, 11]], + [[1, 4, 8, 11], [1, 4, 6, 9]], [[1, 4, 9], [1, 4, 6, 9]], + [[1, 4, 10], [1, 4, 6, 10]], [[1, 4, 11], [1, 4, 8, 11]], [[1, 5], [1, 5, 8]], + [[1, 5, 8], [1, 5, 8, 11]], [[1, 5, 8, 11], [2, 5, 8, 11]], + [[1, 5, 9], [0, 3, 5, 9]], [[1, 5, 10], [0, 4, 7, 10]], + [[1, 5, 11], [1, 5, 8, 11]], [[1, 6], [1, 6, 10]], [[1, 6, 9], [1, 4, 6, 9]], + [[1, 6, 10], [1, 4, 6, 10]], [[1, 6, 11], [1, 4, 6, 11]], [[1, 7], [1, 4, 7]], + [[1, 7, 10], [1, 4, 7, 10]], [[1, 7, 11], [1, 4, 7, 11]], [[1, 8], [1, 5, 8]], + [[1, 8, 11], [1, 4, 8, 11]], [[1, 9], [1, 4, 9]], [[1, 10], [1, 5, 10]], + [[1, 11], [2, 6, 11]], [[2], [2, 9]], [[2, 5], [2, 5, 9]], + [[2, 5, 8], [2, 5, 8, 11]], [[2, 5, 8, 11], [1, 4, 7, 10]], + [[2, 5, 9], [0, 3, 5, 9]], [[2, 5, 10], [0, 3, 5, 9]], + [[2, 5, 11], [2, 5, 8, 11]], [[2, 6], [2, 6, 9]], [[2, 6, 9], [1, 4, 6, 9]], + [[2, 6, 10], [1, 4, 6, 10]], [[2, 6, 11], [1, 4, 6, 10]], [[2, 7], [2, 7, 11]], + [[2, 7, 10], [0, 4, 7, 10]], [[2, 7, 11], [1, 4, 6, 9]], [[2, 8], [4, 8, 11]], + [[2, 8, 11], [2, 5, 8, 11]], [[2, 9], [2, 6, 9]], [[2, 10], [2, 5, 10]], + [[2, 11], [2, 7, 11]], [[3], [3, 10]], [[3, 5], [3, 7, 10]], + [[3, 5, 8], [0, 3, 5, 8]], [[3, 5, 8, 11], [2, 5, 8, 11]], + [[3, 5, 9], [0, 3, 5, 9]], [[3, 5, 10], [0, 3, 5, 10]], + [[3, 5, 11], [3, 5, 8, 11]], [[3, 7], [3, 7, 10]], [[3, 7, 10], [0, 3, 7, 10]], + [[3, 7, 11], [0, 3, 7, 10]], [[3, 8], [0, 3, 8]], [[3, 8, 11], [3, 5, 8, 11]], + [[3, 9], [0, 3, 9]], [[3, 10], [3, 7, 10]], [[3, 11], [3, 8, 11]], + [[4], [4, 11]], [[4, 6], [4, 7, 11]], [[4, 6, 9], [1, 4, 6, 9]], + [[4, 6, 10], [1, 4, 6, 10]], [[4, 6, 11], [1, 4, 6, 11]], [[4, 7], [0, 4, 7]], + [[4, 7, 10], [0, 4, 7, 10]], [[4, 7, 11], [1, 4, 7, 11]], [[4, 8], [4, 8, 11]], + [[4, 8, 11], [1, 4, 8, 11]], [[4, 9], [1, 4, 9]], [[4, 10], [4, 7, 10]], + [[4, 11], [4, 8, 11]], [[5], [0, 5, 9]], [[5, 8], [0, 5, 8]], + [[5, 8, 11], [1, 5, 8, 11]], [[5, 9], [0, 5, 9]], [[5, 10], [2, 5, 10]], + [[5, 11], [0, 5, 9]], [[6], [1, 6]], [[6, 9], [2, 6, 9]], + [[6, 10], [1, 6, 10]], [[6, 11], [2, 6, 11]], [[7], [2, 7, 11]], + [[7, 10], [2, 7, 10]], [[7, 11], [2, 7, 11]], [[8], [3, 8]], + [[8, 11], [4, 8, 11]], [[9], [4, 9]], [[10], [2, 5, 10]], [[11], [6, 11]]] + +################################################################################### + +ALL_CHORDS_TRIPLETS_SORTED = [[[0], [0, 4, 7], [0]], [[0, 2], [0, 4, 7], [0]], [[0, 3], [0, 3, 7], [0]], + [[0, 4], [0, 4, 7], [0, 4]], [[0, 2, 4], [0, 2, 4, 7], [0]], + [[0, 5], [0, 5, 9], [0, 5]], [[0, 2, 5], [0, 2, 5, 9], [0, 2, 5]], + [[0, 3, 5], [0, 3, 5, 9], [0, 3, 5]], [[0, 6], [0, 2, 6, 9], [2]], + [[0, 2, 6], [0, 2, 6, 9], [0, 2, 6]], [[0, 3, 6], [0, 3, 6, 8], [0, 3, 6]], + [[0, 4, 6], [0, 4, 6, 9], [0, 4, 6]], + [[0, 2, 4, 6], [0, 2, 4, 6, 9], [0, 2, 4, 6]], [[0, 7], [0, 4, 7], [0, 7]], + [[0, 2, 7], [0, 2, 4, 7], [0, 2, 7]], [[0, 3, 7], [0, 3, 7, 10], [0, 3, 7]], + [[0, 4, 7], [0, 4, 7, 9], [0, 4, 7]], [[0, 5, 7], [0, 5, 7, 9], [0, 5, 7]], + [[0, 2, 4, 7], [0, 2, 4, 7, 9], [0, 2, 4, 7]], + [[0, 2, 5, 7], [0, 2, 5, 7, 9], [0, 2, 5, 7]], + [[0, 3, 5, 7], [0, 3, 5, 7, 10], [0, 3, 5, 7]], [[0, 8], [0, 3, 8], [8]], + [[0, 2, 8], [0, 2, 5, 8], [0, 2, 8]], [[0, 3, 8], [0, 3, 5, 8], [0, 3, 8]], + [[0, 4, 8], [2, 4, 8, 11], [0, 4, 9]], [[0, 5, 8], [0, 3, 5, 8], [0, 5, 8]], + [[0, 6, 8], [0, 3, 6, 8], [0, 6, 8]], + [[0, 2, 4, 8], [0, 2, 4, 6, 8], [0, 2, 4, 8]], + [[0, 2, 5, 8], [0, 2, 5, 8, 10], [0, 2, 5, 8]], + [[0, 2, 6, 8], [0, 2, 6, 8, 10], [0, 2, 6, 8]], + [[0, 3, 5, 8], [0, 3, 5, 8, 10], [0, 3, 5, 8]], + [[0, 3, 6, 8], [0, 3, 6, 8, 10], [0, 3, 6, 8]], + [[0, 4, 6, 8], [2, 4, 6, 8, 11], [2, 6, 8, 11]], + [[0, 2, 4, 6, 8], [2, 4, 6, 8, 11], [2, 6, 8, 11]], [[0, 9], [0, 4, 9], [9]], + [[0, 2, 9], [0, 2, 6, 9], [0, 2, 9]], [[0, 3, 9], [0, 3, 5, 9], [0, 3, 9]], + [[0, 4, 9], [0, 4, 7, 9], [0, 4, 9]], [[0, 5, 9], [0, 2, 5, 9], [0, 5, 9]], + [[0, 6, 9], [0, 2, 6, 9], [0, 6, 9]], [[0, 7, 9], [0, 4, 7, 9], [0, 7, 9]], + [[0, 2, 4, 9], [0, 2, 4, 7, 9], [0, 2, 4, 9]], + [[0, 2, 5, 9], [0, 2, 5, 7, 9], [0, 2, 5, 9]], + [[0, 2, 6, 9], [0, 2, 4, 6, 9], [0, 2, 6, 9]], + [[0, 2, 7, 9], [0, 2, 4, 7, 9], [0, 2, 7, 9]], + [[0, 3, 5, 9], [0, 3, 5, 7, 9], [0, 3, 5, 9]], + [[0, 3, 6, 9], [0, 2, 4, 6, 9], [4, 6, 9]], + [[0, 3, 7, 9], [0, 3, 5, 7, 9], [0, 3, 7, 9]], + [[0, 4, 6, 9], [0, 2, 4, 6, 9], [0, 4, 6, 9]], + [[0, 4, 7, 9], [0, 2, 4, 7, 9], [0, 4, 7, 9]], + [[0, 5, 7, 9], [0, 2, 5, 7, 9], [0, 5, 7, 9]], + [[0, 2, 4, 6, 9], [2, 4, 6, 9, 11], [0, 2, 4, 6, 9]], + [[0, 2, 4, 7, 9], [2, 4, 7, 9, 11], [0, 2, 4, 7, 9]], + [[0, 2, 5, 7, 9], [2, 5, 7, 9, 11], [7]], + [[0, 3, 5, 7, 9], [2, 4, 6, 8, 11], [1, 4, 6, 8, 10]], + [[0, 10], [2, 5, 10], [10]], [[0, 2, 10], [0, 2, 5, 10], [10]], + [[0, 3, 10], [0, 3, 7, 10], [0, 3, 10]], + [[0, 4, 10], [0, 4, 7, 10], [0, 4, 10]], + [[0, 5, 10], [0, 2, 5, 10], [0, 5, 10]], + [[0, 6, 10], [0, 3, 6, 10], [0, 6, 10]], + [[0, 7, 10], [0, 4, 7, 10], [0, 7, 10]], [[0, 8, 10], [0, 3, 8, 10], [8]], + [[0, 2, 4, 10], [0, 2, 4, 7, 10], [0, 4, 10]], + [[0, 2, 5, 10], [0, 2, 5, 7, 10], [0, 2, 5, 10]], + [[0, 2, 6, 10], [0, 2, 6, 8, 10], [8]], + [[0, 2, 7, 10], [0, 2, 5, 7, 10], [2, 7, 10]], + [[0, 2, 8, 10], [0, 2, 5, 8, 10], [8, 10]], + [[0, 3, 5, 10], [0, 3, 5, 7, 10], [0, 3, 5, 10]], + [[0, 3, 6, 10], [0, 3, 6, 8, 10], [0, 3, 6, 10]], + [[0, 3, 7, 10], [0, 3, 5, 7, 10], [0, 3, 7, 10]], + [[0, 3, 8, 10], [0, 3, 5, 8, 10], [0, 3, 8, 10]], + [[0, 4, 6, 10], [0, 2, 4, 6, 10], [2]], + [[0, 4, 7, 10], [0, 2, 4, 7, 10], [0, 4, 7, 10]], + [[0, 4, 8, 10], [0, 2, 4, 8, 10], [0, 4, 8, 10]], + [[0, 5, 7, 10], [0, 3, 5, 7, 10], [0, 5, 7, 10]], + [[0, 5, 8, 10], [0, 3, 5, 8, 10], [10]], + [[0, 6, 8, 10], [0, 3, 6, 8, 10], [6]], + [[0, 2, 4, 6, 10], [0, 2, 4, 8, 10], [0, 2, 6, 8, 10]], + [[0, 2, 4, 7, 10], [1, 3, 6, 9, 11], [0, 2, 5, 8, 10]], + [[0, 2, 4, 8, 10], [1, 3, 7, 9, 11], [0, 2, 6, 8, 10]], + [[0, 2, 5, 7, 10], [0, 3, 5, 7, 10], [5, 10]], + [[0, 2, 5, 8, 10], [1, 4, 7, 9, 11], [8]], + [[0, 2, 6, 8, 10], [2, 4, 6, 8, 10], [0, 2, 6, 8, 10]], + [[0, 3, 5, 7, 10], [0, 2, 5, 7, 10], [9]], + [[0, 3, 5, 8, 10], [1, 3, 5, 8, 10], [0, 3, 5, 8, 10]], + [[0, 3, 6, 8, 10], [1, 3, 6, 8, 10], [0, 3, 6, 8, 10]], + [[0, 4, 6, 8, 10], [0, 2, 4, 6, 9], [1, 3, 5, 8, 10]], + [[0, 2, 4, 6, 8, 10], [1, 3, 5, 7, 9, 11], [0, 2, 4, 6, 8, 10]], + [[1], [1, 8], [1]], [[1, 3], [1, 5, 8], [1]], [[1, 4], [1, 4, 9], [9]], + [[1, 5], [1, 5, 8], [1, 5]], [[1, 3, 5], [1, 3, 5, 10], [1, 3, 5]], + [[1, 6], [1, 6, 10], [1, 6]], [[1, 3, 6], [1, 3, 6, 10], [1, 3, 6]], + [[1, 4, 6], [1, 4, 6, 9], [1, 4, 6]], [[1, 7], [1, 4, 7], [1, 7]], + [[1, 3, 7], [1, 3, 7, 10], [1, 3, 7]], [[1, 4, 7], [1, 4, 7, 9], [1, 4, 7]], + [[1, 5, 7], [1, 5, 7, 10], [1, 5, 7]], [[1, 3, 5, 7], [1, 3, 5, 7, 10], [7]], + [[1, 8], [1, 5, 8], [1, 8]], [[1, 3, 8], [1, 3, 5, 8], [1, 3, 8]], + [[1, 4, 8], [1, 4, 8, 11], [1, 4, 8]], [[1, 5, 8], [1, 5, 8, 10], [1, 5, 8]], + [[1, 6, 8], [1, 3, 6, 8], [1, 6, 8]], + [[1, 3, 5, 8], [1, 3, 5, 8, 10], [1, 3, 5, 8]], + [[1, 3, 6, 8], [1, 3, 6, 8, 10], [1, 3, 6, 8]], + [[1, 4, 6, 8], [1, 4, 6, 8, 11], [1, 4, 6, 8]], [[1, 9], [1, 4, 9], [9]], + [[1, 3, 9], [1, 3, 6, 9], [1, 3, 9]], [[1, 4, 9], [1, 4, 6, 9], [1, 4, 9]], + [[1, 5, 9], [0, 3, 5, 9], [0, 5, 9]], [[1, 6, 9], [1, 4, 6, 9], [1, 6, 9]], + [[1, 7, 9], [1, 4, 7, 9], [1, 7, 9]], + [[1, 3, 5, 9], [0, 3, 5, 7, 9], [1, 5, 9]], + [[1, 3, 6, 9], [1, 3, 6, 9, 11], [1, 3, 6, 9]], + [[1, 3, 7, 9], [1, 3, 5, 7, 9], [1, 7]], + [[1, 4, 6, 9], [1, 4, 6, 9, 11], [1, 4, 6, 9]], + [[1, 4, 7, 9], [1, 4, 7, 9, 11], [1, 4, 7, 9]], + [[1, 5, 7, 9], [1, 3, 7, 9, 11], [1, 5, 7, 9]], + [[1, 3, 5, 7, 9], [2, 4, 6, 8, 11], [9]], [[1, 10], [1, 5, 10], [10]], + [[1, 3, 10], [1, 3, 7, 10], [1, 3, 10]], + [[1, 4, 10], [1, 4, 6, 10], [1, 4, 10]], + [[1, 5, 10], [1, 5, 8, 10], [1, 5, 10]], + [[1, 6, 10], [1, 4, 6, 10], [1, 6, 10]], + [[1, 7, 10], [1, 3, 7, 10], [1, 7, 10]], [[1, 8, 10], [1, 5, 8, 10], [10]], + [[1, 3, 5, 10], [1, 3, 5, 8, 10], [1, 3, 5, 10]], + [[1, 3, 6, 10], [1, 3, 6, 8, 10], [1, 3, 6, 10]], + [[1, 3, 7, 10], [1, 3, 5, 7, 10], [1, 3, 7, 10]], + [[1, 3, 8, 10], [1, 3, 5, 8, 10], [1, 3, 8, 10]], + [[1, 4, 6, 10], [1, 4, 6, 8, 10], [1, 4, 6, 10]], + [[1, 4, 7, 10], [0, 2, 4, 7, 10], [0, 4, 7, 10]], + [[1, 4, 8, 10], [1, 4, 6, 8, 10], [1, 4, 8, 10]], + [[1, 5, 7, 10], [1, 3, 5, 7, 10], [1, 5, 7, 10]], + [[1, 5, 8, 10], [1, 3, 5, 8, 10], [1, 5, 8, 10]], + [[1, 6, 8, 10], [1, 3, 6, 8, 10], [1, 6, 8, 10]], + [[1, 3, 5, 7, 10], [2, 4, 6, 8, 11], [0, 3, 5, 7, 9]], + [[1, 3, 5, 8, 10], [0, 3, 5, 8, 10], [6, 8, 10]], + [[1, 3, 6, 8, 10], [0, 3, 6, 8, 10], [8]], + [[1, 4, 6, 8, 10], [0, 3, 5, 7, 9], [2, 4, 6, 8, 11]], + [[1, 11], [2, 6, 11], [11]], [[1, 3, 11], [1, 3, 6, 11], [11]], + [[1, 4, 11], [1, 4, 8, 11], [1]], [[1, 5, 11], [1, 5, 8, 11], [1, 5, 11]], + [[1, 6, 11], [1, 4, 6, 11], [1, 6, 11]], + [[1, 7, 11], [1, 4, 7, 11], [1, 7, 11]], + [[1, 8, 11], [1, 4, 8, 11], [1, 8, 11]], [[1, 9, 11], [1, 4, 9, 11], [9]], + [[1, 3, 5, 11], [1, 3, 5, 8, 11], [1, 3, 5, 11]], + [[1, 3, 6, 11], [1, 3, 6, 8, 11], [1, 3, 6, 11]], + [[1, 3, 7, 11], [1, 3, 7, 9, 11], [0]], + [[1, 3, 8, 11], [1, 3, 6, 8, 11], [1, 3, 8, 11]], + [[1, 3, 9, 11], [1, 3, 6, 9, 11], [1, 3, 9, 11]], + [[1, 4, 6, 11], [1, 4, 6, 9, 11], [1, 4, 6, 11]], + [[1, 4, 7, 11], [1, 4, 7, 9, 11], [1, 4, 7, 11]], + [[1, 4, 8, 11], [1, 4, 6, 8, 11], [1, 4, 8, 11]], + [[1, 4, 9, 11], [1, 4, 6, 9, 11], [1, 4, 9, 11]], + [[1, 5, 7, 11], [0, 4, 6, 8, 10], [5, 7, 9, 11]], + [[1, 5, 8, 11], [1, 3, 5, 8, 11], [1, 5, 8, 11]], + [[1, 5, 9, 11], [1, 5, 7, 9, 11], [9]], + [[1, 6, 8, 11], [1, 3, 6, 8, 11], [1, 6, 8, 11]], + [[1, 6, 9, 11], [1, 4, 6, 9, 11], [1, 6, 9, 11]], + [[1, 7, 9, 11], [1, 4, 7, 9, 11], [1, 7, 9, 11]], + [[1, 3, 5, 7, 11], [0, 2, 4, 6, 8], [7, 9]], + [[1, 3, 5, 8, 11], [0, 2, 4, 7, 10], [1, 3, 6, 9, 11]], + [[1, 3, 5, 9, 11], [1, 3, 7, 9, 11], [0, 2, 6, 8, 10]], + [[1, 3, 6, 8, 11], [1, 4, 6, 8, 11], [6, 8, 11]], + [[1, 3, 6, 9, 11], [0, 2, 5, 8, 10], [1, 4, 7, 9, 11]], + [[1, 3, 7, 9, 11], [1, 3, 6, 9, 11], [11]], + [[1, 4, 6, 8, 11], [1, 4, 6, 9, 11], [9, 11]], + [[1, 4, 6, 9, 11], [2, 4, 6, 9, 11], [1, 4, 6, 9, 11]], + [[1, 4, 7, 9, 11], [2, 4, 7, 9, 11], [7, 9, 11]], + [[1, 5, 7, 9, 11], [2, 4, 7, 9, 11], [5, 7, 9]], + [[1, 3, 5, 7, 9, 11], [0, 2, 4, 6, 8, 10], [1, 3, 5, 7, 9, 11]], + [[2], [2, 9], [2]], [[2, 4], [2, 6, 9], [2]], [[2, 5], [2, 5, 9], [2]], + [[2, 6], [2, 6, 9], [2]], [[2, 4, 6], [2, 4, 6, 9], [2, 4, 6]], + [[2, 7], [2, 7, 11], [2, 7]], [[2, 4, 7], [2, 4, 7, 11], [2, 4, 7]], + [[2, 5, 7], [2, 5, 7, 11], [2, 5, 7]], [[2, 8], [4, 8, 11], [4]], + [[2, 4, 8], [2, 4, 8, 11], [2, 4, 8]], [[2, 5, 8], [2, 5, 8, 10], [2, 5, 8]], + [[2, 6, 8], [2, 6, 8, 11], [2, 6, 8]], + [[2, 4, 6, 8], [2, 4, 6, 8, 11], [2, 4, 6, 8]], [[2, 9], [2, 6, 9], [2, 9]], + [[2, 4, 9], [2, 4, 6, 9], [2, 4, 9]], [[2, 5, 9], [0, 2, 5, 9], [2, 5, 9]], + [[2, 6, 9], [2, 6, 9, 11], [2, 6, 9]], [[2, 7, 9], [2, 7, 9, 11], [2, 7, 9]], + [[2, 4, 6, 9], [2, 4, 6, 9, 11], [2, 4, 6, 9]], + [[2, 4, 7, 9], [2, 4, 7, 9, 11], [2, 4, 7, 9]], + [[2, 5, 7, 9], [0, 2, 5, 7, 9], [2, 5, 7, 9]], [[2, 10], [2, 5, 10], [10]], + [[2, 4, 10], [2, 4, 7, 10], [2, 4, 10]], + [[2, 5, 10], [2, 5, 7, 10], [2, 5, 10]], + [[2, 6, 10], [1, 4, 6, 10], [1, 6, 10]], + [[2, 7, 10], [2, 5, 7, 10], [2, 7, 10]], + [[2, 8, 10], [2, 5, 8, 10], [2, 8, 10]], + [[2, 4, 6, 10], [0, 2, 4, 6, 10], [2, 4, 6, 10]], + [[2, 4, 7, 10], [0, 2, 4, 7, 10], [2, 4, 7, 10]], + [[2, 4, 8, 10], [2, 4, 7, 9, 11], [2, 4, 7, 11]], + [[2, 5, 7, 10], [0, 2, 5, 7, 10], [2, 5, 7, 10]], + [[2, 5, 8, 10], [0, 2, 5, 8, 10], [2, 5, 8, 10]], + [[2, 6, 8, 10], [1, 3, 5, 7, 10], [1, 7]], + [[2, 4, 6, 8, 10], [0, 2, 6, 8, 10], [2, 4, 6, 8, 10]], + [[2, 11], [2, 7, 11], [7]], [[2, 4, 11], [2, 4, 8, 11], [2, 4, 11]], + [[2, 5, 11], [2, 5, 7, 11], [2, 5, 11]], + [[2, 6, 11], [2, 6, 9, 11], [2, 6, 11]], + [[2, 7, 11], [2, 4, 7, 11], [2, 7, 11]], + [[2, 8, 11], [2, 4, 8, 11], [2, 8, 11]], + [[2, 9, 11], [2, 6, 9, 11], [2, 9, 11]], + [[2, 4, 6, 11], [2, 4, 6, 9, 11], [2, 4, 6, 11]], + [[2, 4, 7, 11], [2, 4, 7, 9, 11], [2, 4, 7, 11]], + [[2, 4, 8, 11], [2, 4, 6, 8, 11], [2, 4, 8, 11]], + [[2, 4, 9, 11], [2, 4, 7, 9, 11], [2, 4, 9, 11]], + [[2, 5, 7, 11], [2, 5, 7, 9, 11], [2, 5, 7, 11]], + [[2, 5, 8, 11], [1, 3, 5, 8, 11], [1, 5, 8, 11]], + [[2, 5, 9, 11], [2, 5, 7, 9, 11], [2, 5, 9, 11]], + [[2, 6, 8, 11], [2, 4, 6, 8, 11], [2, 6, 8, 11]], + [[2, 6, 9, 11], [2, 4, 6, 9, 11], [2, 6, 9, 11]], + [[2, 7, 9, 11], [2, 4, 7, 9, 11], [2, 7, 9, 11]], + [[2, 4, 6, 8, 11], [2, 4, 6, 9, 11], [2, 4, 6, 8, 11]], + [[2, 4, 6, 9, 11], [2, 4, 7, 9, 11], [2, 7, 9]], + [[2, 4, 7, 9, 11], [0, 2, 4, 7, 9], [11]], + [[2, 5, 7, 9, 11], [2, 4, 7, 9, 11], [2, 7, 9, 11]], [[3], [3, 10], [3]], + [[3, 5], [3, 7, 10], [3]], [[3, 6], [3, 6, 11], [11]], + [[3, 7], [3, 7, 10], [3]], [[3, 5, 7], [3, 5, 7, 10], [3, 5, 7]], + [[3, 8], [0, 3, 8], [3, 8]], [[3, 5, 8], [0, 3, 5, 8], [8]], + [[3, 6, 8], [0, 3, 6, 8], [3, 6, 8]], [[3, 9], [0, 3, 9], [3, 9]], + [[3, 5, 9], [0, 3, 5, 9], [3, 5, 9]], [[3, 6, 9], [3, 6, 9, 11], [3, 6, 9]], + [[3, 7, 9], [0, 3, 7, 9], [3, 7, 9]], + [[3, 5, 7, 9], [0, 3, 5, 7, 9], [0, 3, 5, 9]], [[3, 10], [3, 7, 10], [3, 10]], + [[3, 5, 10], [3, 5, 7, 10], [3, 5, 10]], + [[3, 6, 10], [1, 3, 6, 10], [3, 6, 10]], + [[3, 7, 10], [0, 3, 7, 10], [3, 7, 10]], + [[3, 8, 10], [0, 3, 8, 10], [3, 8, 10]], + [[3, 5, 7, 10], [0, 3, 5, 7, 10], [3, 5, 7, 10]], + [[3, 5, 8, 10], [0, 3, 5, 8, 10], [3, 5, 8, 10]], + [[3, 6, 8, 10], [1, 3, 6, 8, 10], [3, 6, 8, 10]], [[3, 11], [3, 6, 11], [11]], + [[3, 5, 11], [3, 5, 8, 11], [3, 5, 11]], + [[3, 6, 11], [3, 6, 9, 11], [3, 6, 11]], + [[3, 7, 11], [2, 5, 7, 11], [2, 7, 11]], + [[3, 8, 11], [3, 6, 8, 11], [3, 8, 11]], + [[3, 9, 11], [3, 6, 9, 11], [3, 9, 11]], + [[3, 5, 7, 11], [3, 5, 7, 9, 11], [3, 5, 7, 11]], + [[3, 5, 8, 11], [1, 3, 5, 8, 11], [3, 5, 8, 11]], + [[3, 5, 9, 11], [3, 5, 7, 9, 11], [5, 7, 9, 11]], + [[3, 6, 8, 11], [1, 3, 6, 8, 11], [3, 6, 8, 11]], + [[3, 6, 9, 11], [1, 3, 6, 9, 11], [3, 6, 9, 11]], + [[3, 7, 9, 11], [2, 4, 7, 9, 11], [7, 9, 11]], + [[3, 5, 7, 9, 11], [2, 5, 7, 9, 11], [2, 5, 7, 11]], [[4], [4, 11], [4]], + [[4, 6], [4, 7, 11], [4]], [[4, 7], [0, 4, 7], [0]], [[4, 8], [4, 8, 11], [4]], + [[4, 6, 8], [4, 6, 8, 11], [4]], [[4, 9], [1, 4, 9], [4, 9]], + [[4, 6, 9], [1, 4, 6, 9], [4, 6, 9]], [[4, 7, 9], [1, 4, 7, 9], [4, 7, 9]], + [[4, 10], [4, 7, 10], [4, 10]], [[4, 6, 10], [1, 4, 6, 10], [4, 6, 10]], + [[4, 7, 10], [0, 4, 7, 10], [4, 7, 10]], [[4, 8, 10], [1, 4, 8, 10], [1]], + [[4, 6, 8, 10], [1, 4, 6, 8, 10], [6]], [[4, 11], [4, 8, 11], [4, 11]], + [[4, 6, 11], [4, 6, 8, 11], [4, 6, 11]], + [[4, 7, 11], [2, 4, 7, 11], [4, 7, 11]], + [[4, 8, 11], [2, 4, 8, 11], [4, 8, 11]], + [[4, 9, 11], [2, 4, 9, 11], [4, 9, 11]], + [[4, 6, 8, 11], [1, 4, 6, 8, 11], [4, 6, 8, 11]], + [[4, 6, 9, 11], [2, 4, 6, 9, 11], [4, 6, 9, 11]], + [[4, 7, 9, 11], [2, 4, 7, 9, 11], [4, 7, 9, 11]], [[5], [0, 5, 9], [5]], + [[5, 7], [0, 4, 7], [0]], [[5, 8], [0, 5, 8], [5]], [[5, 9], [0, 5, 9], [5]], + [[5, 7, 9], [0, 4, 7, 9], [5]], [[5, 10], [2, 5, 10], [5, 10]], + [[5, 7, 10], [2, 5, 7, 10], [7]], [[5, 8, 10], [2, 5, 8, 10], [5, 8, 10]], + [[5, 11], [0, 5, 9], [5]], [[5, 7, 11], [2, 5, 7, 11], [5, 7, 11]], + [[5, 8, 11], [1, 5, 8, 11], [5, 8, 11]], + [[5, 9, 11], [2, 5, 9, 11], [5, 9, 11]], + [[5, 7, 9, 11], [2, 5, 7, 9, 11], [5, 7, 9]], [[6], [1, 6], [6]], + [[6, 8], [1, 5, 8], [8]], [[6, 9], [2, 6, 9], [2]], [[6, 10], [1, 6, 10], [6]], + [[6, 8, 10], [1, 5, 8, 10], [6, 8, 10]], [[6, 11], [3, 6, 11], [6, 11]], + [[6, 8, 11], [3, 6, 8, 11], [6, 8, 11]], + [[6, 9, 11], [3, 6, 9, 11], [6, 9, 11]], [[7], [2, 7, 11], [7]], + [[7, 9], [2, 6, 9], [2]], [[7, 10], [2, 7, 10], [7]], + [[7, 11], [2, 7, 11], [7]], [[7, 9, 11], [2, 7, 9, 11], [7, 9, 11]], + [[8], [3, 8], [8]], [[8, 10], [3, 7, 10], [3]], [[8, 11], [4, 8, 11], [4]], + [[9], [4, 9], [9]], [[9, 11], [4, 8, 11], [4]], [[10], [2, 5, 10], [10]], + [[11], [6, 11], [11]]] + +################################################################################### + +ALL_CHORDS_TRIPLETS_FILTERED = [[[0], [0, 4, 7], [7]], [[0, 3], [0, 3, 7], [0]], + [[0, 3, 5], [0, 3, 5, 9], [5]], [[0, 3, 5, 8], [0, 3, 7, 10], [0]], + [[0, 3, 5, 9], [0, 3, 7, 10], [10]], [[0, 3, 5, 10], [0, 3, 5, 9], [5]], + [[0, 3, 7], [0, 3, 7, 10], [0]], [[0, 3, 7, 10], [0, 3, 5, 9], [2, 5, 10]], + [[0, 3, 8], [0, 3, 5, 8], [8]], [[0, 3, 9], [0, 3, 5, 9], [5]], + [[0, 3, 10], [0, 3, 7, 10], [0]], [[0, 4], [0, 4, 7], [0]], + [[0, 4, 6], [0, 4, 6, 9], [4]], [[0, 4, 6, 9], [1, 4, 6, 9], [9]], + [[0, 4, 6, 10], [0, 4, 7, 10], [0, 4, 10]], [[0, 4, 7], [0, 4, 7, 10], [0]], + [[0, 4, 7, 10], [1, 4, 7, 10], [0]], [[0, 4, 8], [0, 4, 7, 10], [0, 5, 8]], + [[0, 4, 9], [0, 4, 6, 9], [9]], [[0, 4, 10], [0, 4, 7, 10], [0]], + [[0, 5], [0, 5, 9], [5]], [[0, 5, 8], [0, 3, 5, 8], [5]], + [[0, 5, 9], [0, 3, 5, 9], [5]], [[0, 5, 10], [0, 3, 5, 10], [10]], + [[0, 6], [0, 6, 9], [9]], [[0, 6, 9], [0, 4, 6, 9], [6]], + [[0, 6, 10], [0, 4, 7, 10], [10]], [[0, 7], [0, 4, 7], [0]], + [[0, 7, 10], [0, 4, 7, 10], [0]], [[0, 8], [0, 3, 8], [8]], + [[0, 9], [0, 4, 9], [9]], [[0, 10], [2, 5, 10], [10]], [[1], [1, 8], [8]], + [[1, 4], [1, 4, 9], [9]], [[1, 4, 6], [1, 4, 6, 9], [6]], + [[1, 4, 6, 9], [1, 4, 8, 11], [4]], [[1, 4, 6, 10], [0, 3, 5, 9], [5]], + [[1, 4, 6, 11], [1, 4, 6, 9], [6]], [[1, 4, 7], [1, 4, 7, 10], [10]], + [[1, 4, 7, 10], [0, 4, 7, 10], [0]], + [[1, 4, 7, 11], [1, 4, 6, 10], [1, 6, 10]], [[1, 4, 8], [1, 4, 8, 11], [1]], + [[1, 4, 8, 11], [1, 4, 6, 9], [1, 4, 9]], [[1, 4, 9], [1, 4, 6, 9], [9]], + [[1, 4, 10], [1, 4, 6, 10], [6]], [[1, 4, 11], [1, 4, 8, 11], [1]], + [[1, 5], [1, 5, 8], [1]], [[1, 5, 8], [1, 5, 8, 11], [1]], + [[1, 5, 8, 11], [2, 5, 8, 11], [1]], [[1, 5, 9], [0, 3, 5, 9], [0, 5, 9]], + [[1, 5, 10], [0, 4, 7, 10], [0]], [[1, 5, 11], [1, 5, 8, 11], [11]], + [[1, 6], [1, 6, 10], [6]], [[1, 6, 9], [1, 4, 6, 9], [6]], + [[1, 6, 10], [1, 4, 6, 10], [6]], [[1, 6, 11], [1, 4, 6, 11], [11]], + [[1, 7], [1, 4, 7], [4]], [[1, 7, 10], [1, 4, 7, 10], [4]], + [[1, 7, 11], [1, 4, 7, 11], [7]], [[1, 8], [1, 5, 8], [1]], + [[1, 8, 11], [1, 4, 8, 11], [1]], [[1, 9], [1, 4, 9], [9]], + [[1, 10], [1, 5, 10], [10]], [[1, 11], [2, 6, 11], [11]], [[2], [2, 9], [9]], + [[2, 5], [2, 5, 9], [2]], [[2, 5, 8], [2, 5, 8, 11], [2]], + [[2, 5, 8, 11], [1, 4, 7, 10], [0, 3, 8]], + [[2, 5, 9], [0, 3, 5, 9], [2, 5, 10]], [[2, 5, 10], [0, 3, 5, 9], [2, 10]], + [[2, 5, 11], [2, 5, 8, 11], [8]], [[2, 6], [2, 6, 9], [2]], + [[2, 6, 9], [1, 4, 6, 9], [1, 4, 9]], [[2, 6, 10], [1, 4, 6, 10], [1, 6, 10]], + [[2, 6, 11], [1, 4, 6, 10], [1, 6, 10]], [[2, 7], [2, 7, 11], [7]], + [[2, 7, 10], [0, 4, 7, 10], [0]], [[2, 7, 11], [1, 4, 6, 9], [1, 4, 9]], + [[2, 8], [4, 8, 11], [4]], [[2, 8, 11], [2, 5, 8, 11], [4]], + [[2, 9], [2, 6, 9], [2]], [[2, 10], [2, 5, 10], [10]], + [[2, 11], [2, 7, 11], [7]], [[3], [3, 10], [10]], [[3, 5], [3, 7, 10], [3]], + [[3, 5, 8], [0, 3, 5, 8], [8]], [[3, 5, 8, 11], [2, 5, 8, 11], [2]], + [[3, 5, 9], [0, 3, 5, 9], [5]], [[3, 5, 10], [0, 3, 5, 10], [5, 10]], + [[3, 5, 11], [3, 5, 8, 11], [5]], [[3, 7], [3, 7, 10], [3]], + [[3, 7, 10], [0, 3, 7, 10], [10]], [[3, 7, 11], [0, 3, 7, 10], [3, 7, 10]], + [[3, 8], [0, 3, 8], [8]], [[3, 8, 11], [3, 5, 8, 11], [11]], + [[3, 9], [0, 3, 9], [9]], [[3, 10], [3, 7, 10], [3]], + [[3, 11], [3, 8, 11], [8]], [[4], [4, 11], [11]], [[4, 6], [4, 7, 11], [4]], + [[4, 6, 9], [1, 4, 6, 9], [9]], [[4, 6, 10], [1, 4, 6, 10], [6]], + [[4, 6, 11], [1, 4, 6, 11], [11]], [[4, 7], [0, 4, 7], [0]], + [[4, 7, 10], [0, 4, 7, 10], [0]], [[4, 7, 11], [1, 4, 7, 11], [11]], + [[4, 8], [4, 8, 11], [4]], [[4, 8, 11], [1, 4, 8, 11], [4]], + [[4, 9], [1, 4, 9], [9]], [[4, 10], [4, 7, 10], [7]], + [[4, 11], [4, 8, 11], [4]], [[5], [0, 5, 9], [0]], [[5, 8], [0, 5, 8], [5]], + [[5, 8, 11], [1, 5, 8, 11], [1]], [[5, 9], [0, 5, 9], [5]], + [[5, 10], [2, 5, 10], [10]], [[5, 11], [0, 5, 9], [5]], [[6], [1, 6], [1]], + [[6, 9], [2, 6, 9], [2]], [[6, 10], [1, 6, 10], [6]], + [[6, 11], [2, 6, 11], [11]], [[7], [2, 7, 11], [2]], + [[7, 10], [2, 7, 10], [7]], [[7, 11], [2, 7, 11], [7]], [[8], [3, 8], [3]], + [[8, 11], [4, 8, 11], [4]], [[9], [4, 9], [4]], [[10], [2, 5, 10], [5]], + [[11], [6, 11], [6]]] + +################################################################################### + +def pitches_to_tones(pitches): + return [p % 12 for p in pitches] + +################################################################################### + +def tones_to_pitches(tones, base_octave=5): + return [(base_octave * 12) + t for t in tones] + +################################################################################### + +def find_closest_value(lst, val): + + closest_value = min(lst, key=lambda x: abs(val - x)) + closest_value_indexes = [i for i in range(len(lst)) if lst[i] == closest_value] + + return [closest_value, abs(val - closest_value), closest_value_indexes] + +################################################################################### + +def transpose_tones_chord(tones_chord, transpose_value=0): + return sorted([((60+t)+transpose_value) % 12 for t in sorted(set(tones_chord))]) + +################################################################################### + +def transpose_tones(tones, transpose_value=0): + return [((60+t)+transpose_value) % 12 for t in tones] + +################################################################################### + +def transpose_pitches_chord(pitches_chord, transpose_value=0): + return [max(1, min(127, p+transpose_value)) for p in sorted(set(pitches_chord), reverse=True)] + +################################################################################### + +def transpose_pitches(pitches, transpose_value=0): + return [max(1, min(127, p+transpose_value)) for p in pitches] + +################################################################################### + +def reverse_enhanced_score_notes(escore_notes): + + score = recalculate_score_timings(escore_notes) + + ematrix = escore_notes_to_escore_matrix(score, reverse_matrix=True) + e_score = escore_matrix_to_original_escore_notes(ematrix) + + reversed_score = recalculate_score_timings(e_score) + + return reversed_score + +################################################################################### + +def count_patterns(lst, sublist): + count = 0 + idx = 0 + for i in range(len(lst) - len(sublist) + 1): + if lst[idx:idx + len(sublist)] == sublist: + count += 1 + idx += len(sublist) + else: + idx += 1 + return count + +################################################################################### + +def find_lrno_patterns(seq): + + all_seqs = Counter() + + max_pat_len = math.ceil(len(seq) / 2) + + num_iter = 0 + + for i in range(len(seq)): + for j in range(i+1, len(seq)+1): + if j-i <= max_pat_len: + all_seqs[tuple(seq[i:j])] += 1 + num_iter += 1 + + max_count = 0 + max_len = 0 + + for val, count in all_seqs.items(): + + if max_len < len(val): + max_count = max(2, count) + + if count > 1: + max_len = max(max_len, len(val)) + pval = val + + max_pats = [] + + for val, count in all_seqs.items(): + if count == max_count and len(val) == max_len: + max_pats.append(val) + + found_patterns = [] + + for pat in max_pats: + count = count_patterns(seq, list(pat)) + if count > 1: + found_patterns.append([count, len(pat), pat]) + + return found_patterns + +################################################################################### + +def delta_pitches(escore_notes, pitches_index=4): + + pitches = [p[pitches_index] for p in escore_notes] + + return [a-b for a, b in zip(pitches[:-1], pitches[1:])] + +################################################################################### + +def split_list(lst, val): + return [lst[i:j] for i, j in zip([0] + [k + 1 for k, x in enumerate(lst) if x == val], [k for k, x in enumerate(lst) if x == val] + [len(lst)]) if j > i] + +################################################################################### + +def even_timings(escore_notes, + times_idx=1, + durs_idx=2 + ): + + esn = copy.deepcopy(escore_notes) + + for e in esn: + + if e[times_idx] != 0: + if e[times_idx] % 2 != 0: + e[times_idx] += 1 + + if e[durs_idx] % 2 != 0: + e[durs_idx] += 1 + + return esn + +################################################################################### + +def delta_score_to_abs_score(delta_score_notes, + times_idx=1 + ): + + abs_score = copy.deepcopy(delta_score_notes) + + abs_time = 0 + + for i, e in enumerate(delta_score_notes): + + dtime = e[times_idx] + + abs_time += dtime + + abs_score[i][times_idx] = abs_time + + return abs_score + +################################################################################### + + +def adjust_numbers_to_sum(numbers, target_sum): + + current_sum = sum(numbers) + difference = target_sum - current_sum + + non_zero_elements = [(i, num) for i, num in enumerate(numbers) if num != 0] + + total_non_zero = sum(num for _, num in non_zero_elements) + + increments = [] + for i, num in non_zero_elements: + proportion = num / total_non_zero + increment = proportion * difference + increments.append(increment) + + for idx, (i, num) in enumerate(non_zero_elements): + numbers[i] += int(round(increments[idx])) + + current_sum = sum(numbers) + difference = target_sum - current_sum + non_zero_indices = [i for i, num in enumerate(numbers) if num != 0] + + for i in range(abs(difference)): + numbers[non_zero_indices[i % len(non_zero_indices)]] += 1 if difference > 0 else -1 + + return numbers + +################################################################################### + +def find_next_bar(escore_notes, bar_time, start_note_idx, cur_bar): + for e in escore_notes[start_note_idx:]: + if e[1] // bar_time > cur_bar: + return e, escore_notes.index(e) + +################################################################################### + +def align_escore_notes_to_bars(escore_notes, + bar_time=4000, + trim_durations=False, + split_durations=False + ): + + #============================================================================= + + aligned_escore_notes = copy.deepcopy(escore_notes) + + abs_time = 0 + nidx = 0 + delta = 0 + bcount = 0 + next_bar = [0] + + #============================================================================= + + while next_bar: + + next_bar = find_next_bar(escore_notes, bar_time, nidx, bcount) + + if next_bar: + + gescore_notes = escore_notes[nidx:next_bar[1]] + else: + gescore_notes = escore_notes[nidx:] + + original_timings = [delta] + [(b[1]-a[1]) for a, b in zip(gescore_notes[:-1], gescore_notes[1:])] + adj_timings = adjust_numbers_to_sum(original_timings, bar_time) + + for t in adj_timings: + + abs_time += t + + aligned_escore_notes[nidx][1] = abs_time + aligned_escore_notes[nidx][2] -= int(bar_time // 200) + + nidx += 1 + + if next_bar: + delta = escore_notes[next_bar[1]][1]-escore_notes[next_bar[1]-1][1] + bcount += 1 + + #============================================================================= + + aligned_adjusted_escore_notes = [] + bcount = 0 + + for a in aligned_escore_notes: + bcount = a[1] // bar_time + nbtime = bar_time * (bcount+1) + + if a[1]+a[2] > nbtime and a[3] != 9: + if trim_durations or split_durations: + ddiff = ((a[1]+a[2])-nbtime) + aa = copy.deepcopy(a) + aa[2] = a[2] - ddiff + aligned_adjusted_escore_notes.append(aa) + + if split_durations: + aaa = copy.deepcopy(a) + aaa[1] = a[1]+aa[2] + aaa[2] = ddiff + + aligned_adjusted_escore_notes.append(aaa) + + else: + aligned_adjusted_escore_notes.append(a) + + else: + aligned_adjusted_escore_notes.append(a) + + #============================================================================= + + return aligned_adjusted_escore_notes + +################################################################################### + +def normalize_chord_durations(chord, + dur_idx=2, + norm_factor=100 + ): + + nchord = copy.deepcopy(chord) + + for c in nchord: + c[dur_idx] = int(round(max(1 / norm_factor, c[dur_idx] // norm_factor) * norm_factor)) + + return nchord + +################################################################################### + +def normalize_chordified_score_durations(chordified_score, + dur_idx=2, + norm_factor=100 + ): + + ncscore = copy.deepcopy(chordified_score) + + for cc in ncscore: + for c in cc: + c[dur_idx] = int(round(max(1 / norm_factor, c[dur_idx] // norm_factor) * norm_factor)) + + return ncscore + +################################################################################### + +def horizontal_ordered_list_search(list_of_lists, + query_list, + start_idx=0, + end_idx=-1 + ): + + lol = list_of_lists + + results = [] + + if start_idx > 0: + lol = list_of_lists[start_idx:] + + if start_idx == -1: + idx = -1 + for i, l in enumerate(list_of_lists): + try: + idx = l.index(query_list[0]) + lol = list_of_lists[i:] + break + except: + continue + + if idx == -1: + results.append(-1) + return results + else: + results.append(i) + + if end_idx != -1: + lol = list_of_lists[start_idx:start_idx+max(end_idx, len(query_list))] + + for i, q in enumerate(query_list): + try: + idx = lol[i].index(q) + results.append(idx) + except: + results.append(-1) + return results + + return results + +################################################################################### + +def escore_notes_to_escore_matrix(escore_notes, + alt_velocities=False, + flip_matrix=False, + reverse_matrix=False + ): + + last_time = escore_notes[-1][1] + last_notes = [e for e in escore_notes if e[1] == last_time] + max_last_dur = max([e[2] for e in last_notes]) + + time_range = last_time+max_last_dur + + channels_list = sorted(set([e[3] for e in escore_notes])) + + escore_matrixes = [] + + for cha in channels_list: + + escore_matrix = [[[-1, -1]] * 128 for _ in range(time_range)] + + pe = escore_notes[0] + + for i, note in enumerate(escore_notes): + + etype, time, duration, channel, pitch, velocity, patch = note + + time = max(0, time) + duration = max(1, duration) + channel = max(0, min(15, channel)) + pitch = max(0, min(127, pitch)) + velocity = max(0, min(127, velocity)) + patch = max(0, min(128, patch)) + + if alt_velocities: + velocity -= (i % 2) + + if channel == cha: + + for t in range(time, min(time + duration, time_range)): + + escore_matrix[t][pitch] = [velocity, patch] + + pe = note + + if flip_matrix: + + temp_matrix = [] + + for m in escore_matrix: + temp_matrix.append(m[::-1]) + + escore_matrix = temp_matrix + + if reverse_matrix: + escore_matrix = escore_matrix[::-1] + + escore_matrixes.append(escore_matrix) + + return [channels_list, escore_matrixes] + +################################################################################### + +def escore_matrix_to_merged_escore_notes(full_escore_matrix, + max_note_duration=4000 + ): + + merged_escore_notes = [] + + mat_channels_list = full_escore_matrix[0] + + for m, cha in enumerate(mat_channels_list): + + escore_matrix = full_escore_matrix[1][m] + + result = [] + + for j in range(len(escore_matrix[0])): + + count = 1 + + for i in range(1, len(escore_matrix)): + + if escore_matrix[i][j] != [-1, -1] and escore_matrix[i][j][1] == escore_matrix[i-1][j][1] and count < max_note_duration: + count += 1 + + else: + if count > 1: + result.append([i-count, count, j, escore_matrix[i-1][j]]) + + count = 1 + + if count > 1: + result.append([len(escore_matrix)-count, count, j, escore_matrix[-1][j]]) + + result.sort(key=lambda x: (x[0], -x[2])) + + for r in result: + merged_escore_notes.append(['note', r[0], r[1], cha, r[2], r[3][0], r[3][1]]) + + return sorted(merged_escore_notes, key=lambda x: (x[1], -x[4], x[6])) + +################################################################################### + +def escore_matrix_to_original_escore_notes(full_escore_matrix): + + merged_escore_notes = [] + + mat_channels_list = full_escore_matrix[0] + + for m, cha in enumerate(mat_channels_list): + + escore_matrix = full_escore_matrix[1][m] + + result = [] + + for j in range(len(escore_matrix[0])): + + count = 1 + + for i in range(1, len(escore_matrix)): + + if escore_matrix[i][j] != [-1, -1] and escore_matrix[i][j] == escore_matrix[i-1][j]: + count += 1 + + else: + if count > 1: + result.append([i-count, count, j, escore_matrix[i-1][j]]) + + count = 1 + + if count > 1: + result.append([len(escore_matrix)-count, count, j, escore_matrix[-1][j]]) + + result.sort(key=lambda x: (x[0], -x[2])) + + for r in result: + merged_escore_notes.append(['note', r[0], r[1], cha, r[2], r[3][0], r[3][1]]) + + return sorted(merged_escore_notes, key=lambda x: (x[1], -x[4], x[6])) + +################################################################################### + +def escore_notes_to_binary_matrix(escore_notes, + channel=0, + patch=0, + flip_matrix=False, + reverse_matrix=False + ): + + escore = [e for e in escore_notes if e[3] == channel and e[6] == patch] + + if escore: + last_time = escore[-1][1] + last_notes = [e for e in escore if e[1] == last_time] + max_last_dur = max([e[2] for e in last_notes]) + + time_range = last_time+max_last_dur + + escore_matrix = [] + + escore_matrix = [[0] * 128 for _ in range(time_range)] + + for note in escore: + + etype, time, duration, chan, pitch, velocity, pat = note + + time = max(0, time) + duration = max(1, duration) + chan = max(0, min(15, chan)) + pitch = max(0, min(127, pitch)) + velocity = max(0, min(127, velocity)) + pat = max(0, min(128, pat)) + + if channel == chan and patch == pat: + + for t in range(time, min(time + duration, time_range)): + + escore_matrix[t][pitch] = 1 + + if flip_matrix: + + temp_matrix = [] + + for m in escore_matrix: + temp_matrix.append(m[::-1]) + + escore_matrix = temp_matrix + + if reverse_matrix: + escore_matrix = escore_matrix[::-1] + + return escore_matrix + + else: + return None + +################################################################################### + +def binary_matrix_to_original_escore_notes(binary_matrix, + channel=0, + patch=0, + velocity=-1 + ): + + result = [] + + for j in range(len(binary_matrix[0])): + + count = 1 + + for i in range(1, len(binary_matrix)): + + if binary_matrix[i][j] != 0 and binary_matrix[i][j] == binary_matrix[i-1][j]: + count += 1 + + else: + if count > 1: + result.append([i-count, count, j, binary_matrix[i-1][j]]) + + else: + if binary_matrix[i-1][j] != 0: + result.append([i-count, count, j, binary_matrix[i-1][j]]) + + count = 1 + + if count > 1: + result.append([len(binary_matrix)-count, count, j, binary_matrix[-1][j]]) + + else: + if binary_matrix[i-1][j] != 0: + result.append([i-count, count, j, binary_matrix[i-1][j]]) + + result.sort(key=lambda x: (x[0], -x[2])) + + original_escore_notes = [] + + vel = velocity + + for r in result: + + if velocity == -1: + vel = max(40, r[2]) + + original_escore_notes.append(['note', r[0], r[1], channel, r[2], vel, patch]) + + return sorted(original_escore_notes, key=lambda x: (x[1], -x[4], x[6])) + +################################################################################### + +def escore_notes_averages(escore_notes, + times_index=1, + durs_index=2, + chans_index=3, + ptcs_index=4, + vels_index=5, + average_drums=False, + score_is_delta=False, + return_ptcs_and_vels=False + ): + + if score_is_delta: + if average_drums: + times = [e[times_index] for e in escore_notes if e[times_index] != 0] + else: + times = [e[times_index] for e in escore_notes if e[times_index] != 0 and e[chans_index] != 9] + + else: + descore_notes = delta_score_notes(escore_notes) + if average_drums: + times = [e[times_index] for e in descore_notes if e[times_index] != 0] + else: + times = [e[times_index] for e in descore_notes if e[times_index] != 0 and e[chans_index] != 9] + + if average_drums: + durs = [e[durs_index] for e in escore_notes] + else: + durs = [e[durs_index] for e in escore_notes if e[chans_index] != 9] + + if return_ptcs_and_vels: + if average_drums: + ptcs = [e[ptcs_index] for e in escore_notes] + vels = [e[vels_index] for e in escore_notes] + else: + ptcs = [e[ptcs_index] for e in escore_notes if e[chans_index] != 9] + vels = [e[vels_index] for e in escore_notes if e[chans_index] != 9] + + return [sum(times) / len(times), sum(durs) / len(durs), sum(ptcs) / len(ptcs), sum(vels) / len(vels)] + + else: + return [sum(times) / len(times), sum(durs) / len(durs)] + +################################################################################### + +def adjust_escore_notes_timings(escore_notes, + adj_k=1, + times_index=1, + durs_index=2, + score_is_delta=False, + return_delta_scpre=False + ): + + if score_is_delta: + adj_escore_notes = copy.deepcopy(escore_notes) + else: + adj_escore_notes = delta_score_notes(escore_notes) + + for e in adj_escore_notes: + + if e[times_index] != 0: + e[times_index] = max(1, round(e[times_index] * adj_k)) + + e[durs_index] = max(1, round(e[durs_index] * adj_k)) + + if return_delta_scpre: + return adj_escore_notes + + else: + return delta_score_to_abs_score(adj_escore_notes) + +################################################################################### + +def escore_notes_delta_times(escore_notes, + times_index=1 + ): + + descore_notes = delta_score_notes(escore_notes) + + return [e[times_index] for e in descore_notes] + +################################################################################### + +def escore_notes_durations(escore_notes, + durs_index=1 + ): + + descore_notes = delta_score_notes(escore_notes) + + return [e[durs_index] for e in descore_notes] + +################################################################################### + +def ordered_lists_match_ratio(src_list, trg_list): + + zlist = list(zip(src_list, trg_list)) + + return sum([a == b for a, b in zlist]) / len(list(zlist)) + +################################################################################### + +def lists_intersections(src_list, trg_list): + return list(set(src_list) & set(trg_list)) + +################################################################################### + +def transpose_escore_notes(escore_notes, + transpose_value=0, + channel_index=3, + pitches_index=4 + ): + + tr_escore_notes = copy.deepcopy(escore_notes) + + for e in tr_escore_notes: + if e[channel_index] != 9: + e[pitches_index] = max(1, min(127, e[pitches_index] + transpose_value)) + + return tr_escore_notes + +################################################################################### + +def transpose_escore_notes_to_pitch(escore_notes, + target_pitch_value=60, + channel_index=3, + pitches_index=4 + ): + + tr_escore_notes = copy.deepcopy(escore_notes) + + transpose_delta = int(round(target_pitch_value)) - int(round(escore_notes_averages(escore_notes, return_ptcs_and_vels=True)[2])) + + for e in tr_escore_notes: + if e[channel_index] != 9: + e[pitches_index] = max(1, min(127, e[pitches_index] + transpose_delta)) + + return tr_escore_notes + +################################################################################### + +CHORDS_TYPES = ['WHITE', 'BLACK', 'UNKNOWN', 'MIXED WHITE', 'MIXED BLACK', 'MIXED GRAY'] + +################################################################################### + +def tones_chord_type(tones_chord, + return_chord_type_index=True, + use_filtered_chords=False, + use_full_chords=True + ): + + WN = WHITE_NOTES + BN = BLACK_NOTES + MX = WHITE_NOTES + BLACK_NOTES + + if use_filtered_chords: + CHORDS = ALL_CHORDS_FILTERED + + else: + CHORDS = ALL_CHORDS_SORTED + + if use_full_chords: + CHORDS = ALL_CHORDS_FULL + + tones_chord = sorted(tones_chord) + + ctype = 'UNKNOWN' + + if tones_chord in CHORDS: + + if sorted(set(tones_chord) & set(WN)) == tones_chord: + ctype = 'WHITE' + + elif sorted(set(tones_chord) & set(BN)) == tones_chord: + ctype = 'BLACK' + + if len(tones_chord) > 1 and sorted(set(tones_chord) & set(MX)) == tones_chord: + + if len(sorted(set(tones_chord) & set(WN))) == len(sorted(set(tones_chord) & set(BN))): + ctype = 'MIXED GRAY' + + elif len(sorted(set(tones_chord) & set(WN))) > len(sorted(set(tones_chord) & set(BN))): + ctype = 'MIXED WHITE' + + elif len(sorted(set(tones_chord) & set(WN))) < len(sorted(set(tones_chord) & set(BN))): + ctype = 'MIXED BLACK' + + if return_chord_type_index: + return CHORDS_TYPES.index(ctype) + + else: + return ctype + +################################################################################### + +def tone_type(tone, + return_tone_type_index=True + ): + + tone = tone % 12 + + if tone in BLACK_NOTES: + if return_tone_type_index: + return CHORDS_TYPES.index('BLACK') + else: + return "BLACK" + + else: + if return_tone_type_index: + return CHORDS_TYPES.index('WHITE') + else: + return "WHITE" + +################################################################################### + +def lists_sym_differences(src_list, trg_list): + return list(set(src_list) ^ set(trg_list)) + +################################################################################### + +def lists_differences(long_list, short_list): + return list(set(long_list) - set(short_list)) + +################################################################################### + +def find_best_tones_chord(src_tones_chords, + trg_tones_chords, + find_longest=True + ): + + not_seen_trg_chords = [] + + max_len = 0 + + for tc in trg_tones_chords: + if sorted(tc) in src_tones_chords: + not_seen_trg_chords.append(sorted(tc)) + max_len = max(max_len, len(tc)) + + if not not_seen_trg_chords: + max_len = len(max(trg_tones_chords, key=len)) + not_seen_trg_chords = trg_tones_chords + + if find_longest: + return random.choice([c for c in not_seen_trg_chords if len(c) == max_len]) + + else: + return random.choice(not_seen_trg_chords) + +################################################################################### + +def find_matching_tones_chords(tones_chord, + matching_chord_length=-1, + match_chord_type=True, + use_filtered_chords=True, + use_full_chords=True + ): + + if use_filtered_chords: + CHORDS = ALL_CHORDS_FILTERED + else: + CHORDS = ALL_CHORDS_SORTED + + if use_full_chords: + CHORDS = ALL_CHORDS_FULL + + tones_chord = sorted(tones_chord) + + tclen = len(tones_chord) + + tctype = tones_chord_type(tones_chord, use_filtered_chords=use_filtered_chords) + + matches = [] + + for tc in CHORDS: + + if matching_chord_length == -1: + if len(tc) > tclen: + if sorted(lists_intersections(tc, tones_chord)) == tones_chord: + if match_chord_type: + if tones_chord_type(tc, use_filtered_chords=use_filtered_chords) == tctype: + tcdiffs = lists_differences(tc, tones_chord) + if all(tone_type(d) == tctype % 3 for d in tcdiffs): + matches.append(tc) + else: + matches.append(tc) + + else: + + if len(tc) == max(tclen, matching_chord_length): + if sorted(lists_intersections(tc, tones_chord)) == tones_chord: + if match_chord_type: + if tones_chord_type(tc, use_filtered_chords=use_filtered_chords) == tctype: + tcdiffs = lists_differences(tc, tones_chord) + if all(tone_type(d) == tctype % 3 for d in tcdiffs): + matches.append(tc) + else: + matches.append(tc) + + return sorted(matches, key=len) + +################################################################################### + +def adjust_list_of_values_to_target_average(list_of_values, + trg_avg, + min_value, + max_value + ): + + filtered_values = [value for value in list_of_values if min_value <= value <= max_value] + + if not filtered_values: + return list_of_values + + current_avg = sum(filtered_values) / len(filtered_values) + scale_factor = trg_avg / current_avg + + adjusted_values = [value * scale_factor for value in filtered_values] + + total_difference = trg_avg * len(filtered_values) - sum(adjusted_values) + adjustment_per_value = total_difference / len(filtered_values) + + final_values = [value + adjustment_per_value for value in adjusted_values] + + while abs(sum(final_values) / len(final_values) - trg_avg) > 1e-6: + total_difference = trg_avg * len(final_values) - sum(final_values) + adjustment_per_value = total_difference / len(final_values) + final_values = [value + adjustment_per_value for value in final_values] + + final_values = [round(value) for value in final_values] + + adjusted_values = copy.deepcopy(list_of_values) + + j = 0 + + for i in range(len(adjusted_values)): + if min_value <= adjusted_values[i] <= max_value: + adjusted_values[i] = final_values[j] + j += 1 + + return adjusted_values + +################################################################################### + +def adjust_escore_notes_to_average(escore_notes, + trg_avg, + min_value=1, + max_value=4000, + times_index=1, + durs_index=2, + score_is_delta=False, + return_delta_scpre=False + ): + if score_is_delta: + delta_escore_notes = copy.deepcopy(escore_notes) + + else: + delta_escore_notes = delta_score_notes(escore_notes) + + times = [[e[times_index], e[durs_index]] for e in delta_escore_notes] + + filtered_values = [value for value in times if min_value <= value[0] <= max_value] + + if not filtered_values: + return escore_notes + + current_avg = sum([v[0] for v in filtered_values]) / len([v[0] for v in filtered_values]) + scale_factor = trg_avg / current_avg + + adjusted_values = [[value[0] * scale_factor, value[1] * scale_factor] for value in filtered_values] + + total_difference = trg_avg * len([v[0] for v in filtered_values]) - sum([v[0] for v in adjusted_values]) + adjustment_per_value = total_difference / len(filtered_values) + + final_values = [[value[0] + adjustment_per_value, value[1] + adjustment_per_value] for value in adjusted_values] + + while abs(sum([v[0] for v in final_values]) / len(final_values) - trg_avg) > 1e-6: + total_difference = trg_avg * len(final_values) - sum([v[0] for v in final_values]) + adjustment_per_value = total_difference / len(final_values) + final_values = [[value[0] + adjustment_per_value, value[1] + adjustment_per_value] for value in final_values] + + final_values = [[round(value[0]), round(value[1])] for value in final_values] + + adjusted_delta_score = copy.deepcopy(delta_escore_notes) + + j = 0 + + for i in range(len(adjusted_delta_score)): + if min_value <= adjusted_delta_score[i][1] <= max_value: + adjusted_delta_score[i][times_index] = final_values[j][0] + adjusted_delta_score[i][durs_index] = final_values[j][1] + j += 1 + + adjusted_escore_notes = delta_score_to_abs_score(adjusted_delta_score) + + if return_delta_scpre: + return adjusted_delta_score + + else: + return adjusted_escore_notes + +################################################################################### + +def harmonize_enhanced_melody_score_notes_to_ms_SONG(escore_notes, + melody_velocity=-1, + melody_channel=3, + melody_patch=40, + melody_base_octave=4, + harmonized_tones_chords_velocity=-1, + harmonized_tones_chords_channel=0, + harmonized_tones_chords_patch=0 + ): + + harmonized_tones_chords = harmonize_enhanced_melody_score_notes(escore_notes) + + harm_escore_notes = [] + + time = 0 + + for i, note in enumerate(escore_notes): + + time = note[1] + dur = note[2] + ptc = note[4] + + if melody_velocity == -1: + vel = int(110 + ((ptc % 12) * 1.5)) + else: + vel = melody_velocity + + harm_escore_notes.append(['note', time, dur, melody_channel, ptc, vel, melody_patch]) + + for t in harmonized_tones_chords[i]: + + ptc = (melody_base_octave * 12) + t + + if harmonized_tones_chords_velocity == -1: + vel = int(80 + ((ptc % 12) * 1.5)) + else: + vel = harmonized_tones_chords_velocity + + harm_escore_notes.append(['note', time, dur, harmonized_tones_chords_channel, ptc, vel, harmonized_tones_chords_patch]) + + return sorted(harm_escore_notes, key=lambda x: (x[1], -x[4], x[6])) + +################################################################################### + +def check_and_fix_pitches_chord(pitches_chord, + remove_duplicate_pitches=True, + use_filtered_chords=False, + use_full_chords=True, + fix_bad_pitches=False, + ): + + if remove_duplicate_pitches: + pitches_chord = sorted(set(pitches_chord), reverse=True) + else: + pitches_chord = sorted(pitches_chord, reverse=True) + + if use_filtered_chords: + CHORDS = ALL_CHORDS_FILTERED + else: + CHORDS = ALL_CHORDS_SORTED + + if use_full_chords: + CHORDS = ALL_CHORDS_FULL + + chord = copy.deepcopy(pitches_chord) + + tones_chord = sorted(set([t % 12 for t in chord])) + + if tones_chord: + + if tones_chord not in CHORDS: + + if len(tones_chord) == 2: + tones_counts = Counter([p % 12 for p in pitches_chord]).most_common() + + if tones_counts[0][1] > 1: + tones_chord = [tones_counts[0][0]] + + elif tones_counts[1][1] > 1: + tones_chord = [tones_counts[1][0]] + + else: + tones_chord = [pitches_chord[0] % 12] + + else: + tones_chord_combs = [list(comb) for i in range(len(tones_chord)-1, 0, -1) for comb in combinations(tones_chord, i)] + + for co in tones_chord_combs: + if co in CHORDS: + tones_chord = co + break + + if len(tones_chord) == 1: + tones_chord = [pitches_chord[0] % 12] + + chord.sort(reverse=True) + + new_chord = set() + pipa = [] + + for e in chord: + if e % 12 in tones_chord: + new_chord.add(tuple([e])) + pipa.append(e) + + elif (e+1) % 12 in tones_chord: + e += 1 + new_chord.add(tuple([e])) + pipa.append(e) + + elif (e-1) % 12 in tones_chord: + e -= 1 + new_chord.add(tuple([e])) + pipa.append(e) + + if fix_bad_pitches: + + bad_chord = set() + + for e in chord: + + if e % 12 not in tones_chord: + bad_chord.add(tuple([e])) + + elif (e+1) % 12 not in tones_chord: + bad_chord.add(tuple([e])) + + elif (e-1) % 12 not in tones_chord: + bad_chord.add(tuple([e])) + + for bc in bad_chord: + + bc = list(bc) + + tone = find_closest_tone(tones_chord, bc[0] % 12) + + new_pitch = ((bc[0] // 12) * 12) + tone + + if new_pitch not in pipa: + new_chord.add(tuple([new_pitch])) + pipa.append(new_pitch) + + new_pitches_chord = [e[0] for e in new_chord] + + return sorted(new_pitches_chord, reverse=True) + +################################################################################### + +ALL_CHORDS_TRANS = [[0], [0, 4], [0, 4, 7], [0, 4, 8], [0, 5], [0, 6], [0, 7], [0, 8], [1], [1, 5], + [1, 5, 9], [1, 6], [1, 7], [1, 8], [1, 9], [2], [2, 6], [2, 6, 10], [2, 7], + [2, 8], [2, 9], [2, 10], [3], [3, 7], [3, 7, 11], [3, 8], [3, 9], [3, 10], + [3, 11], [4], [4, 7], [4, 7, 11], [4, 8], [4, 9], [4, 10], [4, 11], [5], + [5, 9], [5, 10], [5, 11], [6], [6, 10], [6, 11], [7], [7, 11], [8], [9], [10], + [11]] + +################################################################################### + +def minkowski_distance(x, y, p=3, pad_value=float('inf')): + + if len(x) != len(y): + return -1 + + distance = 0 + + for i in range(len(x)): + + if x[i] == pad_value or y[i] == pad_value: + continue + + distance += abs(x[i] - y[i]) ** p + + return distance ** (1 / p) + +################################################################################### + +def dot_product(x, y, pad_value=None): + return sum(xi * yi for xi, yi in zip(x, y) if xi != pad_value and yi != pad_value) + +def norm(vector, pad_value=None): + return sum(xi ** 2 for xi in vector if xi != pad_value) ** 0.5 + +def cosine_similarity(x, y, pad_value=None): + if len(x) != len(y): + return -1 + + dot_prod = dot_product(x, y, pad_value) + norm_x = norm(x, pad_value) + norm_y = norm(y, pad_value) + + if norm_x == 0 or norm_y == 0: + return 0.0 + + return dot_prod / (norm_x * norm_y) + +################################################################################### + +def hamming_distance(arr1, arr2, pad_value): + return sum(el1 != el2 for el1, el2 in zip(arr1, arr2) if el1 != pad_value and el2 != pad_value) + +################################################################################### + +def jaccard_similarity(arr1, arr2, pad_value): + intersection = sum(el1 and el2 for el1, el2 in zip(arr1, arr2) if el1 != pad_value and el2 != pad_value) + union = sum((el1 or el2) for el1, el2 in zip(arr1, arr2) if el1 != pad_value or el2 != pad_value) + return intersection / union if union != 0 else 0 + +################################################################################### + +def pearson_correlation(arr1, arr2, pad_value): + filtered_pairs = [(el1, el2) for el1, el2 in zip(arr1, arr2) if el1 != pad_value and el2 != pad_value] + if not filtered_pairs: + return 0 + n = len(filtered_pairs) + sum1 = sum(el1 for el1, el2 in filtered_pairs) + sum2 = sum(el2 for el1, el2 in filtered_pairs) + sum1_sq = sum(el1 ** 2 for el1, el2 in filtered_pairs) + sum2_sq = sum(el2 ** 2 for el1, el2 in filtered_pairs) + p_sum = sum(el1 * el2 for el1, el2 in filtered_pairs) + num = p_sum - (sum1 * sum2 / n) + den = ((sum1_sq - sum1 ** 2 / n) * (sum2_sq - sum2 ** 2 / n)) ** 0.5 + if den == 0: + return 0 + return num / den + +################################################################################### + +def calculate_combined_distances(array_of_arrays, + combine_hamming_distance=True, + combine_jaccard_similarity=True, + combine_pearson_correlation=True, + pad_value=None + ): + + binary_arrays = array_of_arrays + binary_array_len = len(binary_arrays) + + hamming_distances = [[0] * binary_array_len for _ in range(binary_array_len)] + jaccard_similarities = [[0] * binary_array_len for _ in range(binary_array_len)] + pearson_correlations = [[0] * binary_array_len for _ in range(binary_array_len)] + + for i in range(binary_array_len): + for j in range(i + 1, binary_array_len): + hamming_distances[i][j] = hamming_distance(binary_arrays[i], binary_arrays[j], pad_value) + hamming_distances[j][i] = hamming_distances[i][j] + + jaccard_similarities[i][j] = jaccard_similarity(binary_arrays[i], binary_arrays[j], pad_value) + jaccard_similarities[j][i] = jaccard_similarities[i][j] + + pearson_correlations[i][j] = pearson_correlation(binary_arrays[i], binary_arrays[j], pad_value) + pearson_correlations[j][i] = pearson_correlations[i][j] + + max_hamming = max(max(row) for row in hamming_distances) + min_hamming = min(min(row) for row in hamming_distances) + normalized_hamming = [[(val - min_hamming) / (max_hamming - min_hamming) for val in row] for row in hamming_distances] + + max_jaccard = max(max(row) for row in jaccard_similarities) + min_jaccard = min(min(row) for row in jaccard_similarities) + normalized_jaccard = [[(val - min_jaccard) / (max_jaccard - min_jaccard) for val in row] for row in jaccard_similarities] + + max_pearson = max(max(row) for row in pearson_correlations) + min_pearson = min(min(row) for row in pearson_correlations) + normalized_pearson = [[(val - min_pearson) / (max_pearson - min_pearson) for val in row] for row in pearson_correlations] + + selected_metrics = 0 + + if combine_hamming_distance: + selected_metrics += normalized_hamming[i][j] + + if combine_jaccard_similarity: + selected_metrics += (1 - normalized_jaccard[i][j]) + + if combine_pearson_correlation: + selected_metrics += (1 - normalized_pearson[i][j]) + + combined_metric = [[selected_metrics for i in range(binary_array_len)] for j in range(binary_array_len)] + + return combined_metric + +################################################################################### + +def tones_chords_to_bits(tones_chords): + + bits_tones_chords = [] + + for c in tones_chords: + + c.sort() + + bits = tones_chord_to_bits(c) + + bits_tones_chords.append(bits) + + return bits_tones_chords + +################################################################################### + +def tones_chords_to_ints(tones_chords): + + ints_tones_chords = [] + + for c in tones_chords: + + c.sort() + + bits = tones_chord_to_bits(c) + + number = bits_to_int(bits) + + ints_tones_chords.append(number) + + return ints_tones_chords + +################################################################################### + +def tones_chords_to_types(tones_chords, + return_chord_type_index=False + ): + + types_tones_chords = [] + + for c in tones_chords: + + c.sort() + + ctype = tones_chord_type(c, return_chord_type_index=return_chord_type_index) + + types_tones_chords.append(ctype) + + return types_tones_chords + +################################################################################### + +def morph_tones_chord(tones_chord, + trg_tone, + use_filtered_chords=True, + use_full_chords=True + ): + + src_tones_chord = sorted(sorted(set(tones_chord)) + [trg_tone]) + + combs = [list(comb) for i in range(len(src_tones_chord), 0, -1) for comb in combinations(src_tones_chord, i) if trg_tone in list(comb)] + + matches = [] + + if use_filtered_chords: + CHORDS = ALL_CHORDS_FILTERED + + else: + CHORDS = ALL_CHORDS_SORTED + + if use_full_chords: + CHORDS = ALL_CHORDS_FULL + + for c in combs: + if sorted(set(c)) in CHORDS: + matches.append(sorted(set(c))) + + max_len = len(max(matches, key=len)) + + return random.choice([m for m in matches if len(m) == max_len]) + +################################################################################### + +def compress_binary_matrix(binary_matrix, + only_compress_zeros=False, + return_compression_ratio=False + ): + + compressed_bmatrix = [] + + zm = [0] * len(binary_matrix[0]) + pm = [0] * len(binary_matrix[0]) + + mcount = 0 + + for m in binary_matrix: + + if only_compress_zeros: + if m != zm: + compressed_bmatrix.append(m) + mcount += 1 + + else: + if m != pm: + compressed_bmatrix.append(m) + mcount += 1 + + pm = m + + if return_compression_ratio: + return [compressed_bmatrix, mcount / len(binary_matrix)] + + else: + return compressed_bmatrix + +################################################################################### + +def solo_piano_escore_notes(escore_notes, + channels_index=3, + pitches_index=4, + patches_index=6, + keep_drums=False, + ): + + cscore = chordify_score([1000, escore_notes]) + + sp_escore_notes = [] + + for c in cscore: + + seen = [] + chord = [] + + for cc in c: + + if cc[channels_index] != 9: + if cc[pitches_index] not in seen: + + cc[channels_index] = 0 + cc[patches_index] = 0 + + chord.append(cc) + seen.append(cc[pitches_index]) + + else: + if keep_drums: + if cc[pitches_index]+128 not in seen: + chord.append(cc) + seen.append(cc[pitches_index]+128) + + sp_escore_notes.append(chord) + + return flatten(sp_escore_notes) + +################################################################################### + +def strip_drums_from_escore_notes(escore_notes, + channels_index=3 + ): + + return [e for e in escore_notes if e[channels_index] != 9] + +################################################################################### + +def fixed_escore_notes_timings(escore_notes, + fixed_durations=False, + fixed_timings_multiplier=1, + custom_fixed_time=-1, + custom_fixed_dur=-1 + ): + + fixed_timings_escore_notes = delta_score_notes(escore_notes, even_timings=True) + + mode_time = round(Counter([e[1] for e in fixed_timings_escore_notes if e[1] != 0]).most_common()[0][0] * fixed_timings_multiplier) + + if mode_time % 2 != 0: + mode_time += 1 + + mode_dur = round(Counter([e[2] for e in fixed_timings_escore_notes if e[2] != 0]).most_common()[0][0] * fixed_timings_multiplier) + + if mode_dur % 2 != 0: + mode_dur += 1 + + for e in fixed_timings_escore_notes: + if e[1] != 0: + + if custom_fixed_time > 0: + e[1] = custom_fixed_time + + else: + e[1] = mode_time + + if fixed_durations: + + if custom_fixed_dur > 0: + e[2] = custom_fixed_dur + + else: + e[2] = mode_dur + + return delta_score_to_abs_score(fixed_timings_escore_notes) + +################################################################################### + +def cubic_kernel(x): + abs_x = abs(x) + if abs_x <= 1: + return 1.5 * abs_x**3 - 2.5 * abs_x**2 + 1 + elif abs_x <= 2: + return -0.5 * abs_x**3 + 2.5 * abs_x**2 - 4 * abs_x + 2 + else: + return 0 + +################################################################################### + +def resize_matrix(matrix, new_height, new_width): + old_height = len(matrix) + old_width = len(matrix[0]) + resized_matrix = [[0] * new_width for _ in range(new_height)] + + for i in range(new_height): + for j in range(new_width): + old_i = i * old_height / new_height + old_j = j * old_width / new_width + + value = 0 + total_weight = 0 + for m in range(-1, 3): + for n in range(-1, 3): + i_m = min(max(int(old_i) + m, 0), old_height - 1) + j_n = min(max(int(old_j) + n, 0), old_width - 1) + + if matrix[i_m][j_n] == 0: + continue + + weight = cubic_kernel(old_i - i_m) * cubic_kernel(old_j - j_n) + value += matrix[i_m][j_n] * weight + total_weight += weight + + if total_weight > 0: + value /= total_weight + + resized_matrix[i][j] = int(value > 0.5) + + return resized_matrix + +################################################################################### + +def square_binary_matrix(binary_matrix, + matrix_size=128, + use_fast_squaring=False, + return_plot_points=False + ): + + if use_fast_squaring: + + step = round(len(binary_matrix) / matrix_size) + + samples = [] + + for i in range(0, len(binary_matrix), step): + samples.append(tuple([tuple(d) for d in binary_matrix[i:i+step]])) + + resized_matrix = [] + + zmatrix = [[0] * matrix_size] + + for s in samples: + + samples_counts = Counter(s).most_common() + + best_sample = tuple([0] * matrix_size) + pm = tuple(zmatrix[0]) + + for sc in samples_counts: + if sc[0] != tuple(zmatrix[0]) and sc[0] != pm: + best_sample = sc[0] + pm = sc[0] + break + + pm = sc[0] + + resized_matrix.append(list(best_sample)) + + resized_matrix = resized_matrix[:matrix_size] + resized_matrix += zmatrix * (matrix_size - len(resized_matrix)) + + else: + resized_matrix = resize_matrix(binary_matrix, matrix_size, matrix_size) + + points = [(i, j) for i in range(matrix_size) for j in range(matrix_size) if resized_matrix[i][j] == 1] + + if return_plot_points: + return [resized_matrix, points] + + else: + return resized_matrix + +################################################################################### + +def mean(matrix): + return sum(sum(row) for row in matrix) / (len(matrix) * len(matrix[0])) + +################################################################################### + +def variance(matrix, mean_value): + return sum(sum((element - mean_value) ** 2 for element in row) for row in matrix) / (len(matrix) * len(matrix[0])) + +################################################################################### + +def covariance(matrix1, matrix2, mean1, mean2): + return sum(sum((matrix1[i][j] - mean1) * (matrix2[i][j] - mean2) for j in range(len(matrix1[0]))) for i in range(len(matrix1))) / (len(matrix1) * len(matrix1[0])) + +################################################################################### + +def ssim_index(matrix1, matrix2, bit_depth=1): + + if len(matrix1) != len(matrix2) and len(matrix1[0]) != len(matrix2[0]): + return -1 + + K1, K2 = 0.01, 0.03 + L = bit_depth + C1 = (K1 * L) ** 2 + C2 = (K2 * L) ** 2 + + mu1 = mean(matrix1) + mu2 = mean(matrix2) + + sigma1_sq = variance(matrix1, mu1) + sigma2_sq = variance(matrix2, mu2) + + sigma12 = covariance(matrix1, matrix2, mu1, mu2) + + ssim = ((2 * mu1 * mu2 + C1) * (2 * sigma12 + C2)) / ((mu1 ** 2 + mu2 ** 2 + C1) * (sigma1_sq + sigma2_sq + C2)) + + return ssim + +################################################################################### + +def find_most_similar_matrix(array_of_matrices, + trg_matrix, + matrices_bit_depth=1, + return_most_similar_index=False + ): + + max_ssim = -float('inf') + most_similar_index = -1 + + for i, matrix in enumerate(array_of_matrices): + + ssim = ssim_index(matrix, trg_matrix, bit_depth=matrices_bit_depth) + + if ssim > max_ssim: + max_ssim = ssim + most_similar_index = i + + if return_most_similar_index: + return most_similar_index + + else: + return array_of_matrices[most_similar_index] + +################################################################################### + +def chord_to_pchord(chord): + + pchord = [] + + for cc in chord: + if cc[3] != 9: + pchord.append(cc[4]) + + return pchord + +################################################################################### + +def summarize_escore_notes(escore_notes, + summary_length_in_chords=128, + preserve_timings=True, + preserve_durations=False, + time_threshold=12, + min_sum_chord_len=2, + use_tones_chords=True + ): + + cscore = chordify_score([d[1:] for d in delta_score_notes(escore_notes)]) + + summary_length_in_chords = min(len(cscore), summary_length_in_chords) + + ltthresh = time_threshold // 2 + uttresh = time_threshold * 2 + + mc_time = Counter([c[0][0] for c in cscore if c[0][2] != 9 and ltthresh < c[0][0] < uttresh]).most_common()[0][0] + + pchords = [] + + for c in cscore: + if use_tones_chords: + pchords.append([c[0][0]] + pitches_to_tones_chord(chord_to_pchord(c))) + + else: + pchords.append([c[0][0]] + chord_to_pchord(c)) + + step = round(len(pchords) / summary_length_in_chords) + + samples = [] + + for i in range(0, len(pchords), step): + samples.append(tuple([tuple(d) for d in pchords[i:i+step]])) + + summarized_escore_notes = [] + + for i, s in enumerate(samples): + + best_chord = list([v[0] for v in Counter(s).most_common() if v[0][0] == mc_time and len(v[0]) > min_sum_chord_len]) + + if not best_chord: + best_chord = list([v[0] for v in Counter(s).most_common() if len(v[0]) > min_sum_chord_len]) + + if not best_chord: + best_chord = list([Counter(s).most_common()[0][0]]) + + chord = copy.deepcopy(cscore[[ss for ss in s].index(best_chord[0])+(i*step)]) + + if preserve_timings: + + if not preserve_durations: + + if i > 0: + + pchord = summarized_escore_notes[-1] + + for pc in pchord: + pc[1] = min(pc[1], chord[0][0]) + + else: + + chord[0][0] = 1 + + for c in chord: + c[1] = 1 + + summarized_escore_notes.append(chord) + + summarized_escore_notes = summarized_escore_notes[:summary_length_in_chords] + + return [['note'] + d for d in delta_score_to_abs_score(flatten(summarized_escore_notes), times_idx=0)] + +################################################################################### + +def compress_patches_in_escore_notes(escore_notes, + num_patches=4, + group_patches=False + ): + + if num_patches > 4: + n_patches = 4 + elif num_patches < 1: + n_patches = 1 + else: + n_patches = num_patches + + if group_patches: + patches_set = sorted(set([e[6] for e in escore_notes])) + trg_patch_list = [] + seen = [] + for p in patches_set: + if p // 8 not in seen: + trg_patch_list.append(p) + seen.append(p // 8) + + trg_patch_list = sorted(trg_patch_list) + + else: + trg_patch_list = sorted(set([e[6] for e in escore_notes])) + + if 128 in trg_patch_list and n_patches > 1: + trg_patch_list = trg_patch_list[:n_patches-1] + [128] + else: + trg_patch_list = trg_patch_list[:n_patches] + + new_escore_notes = [] + + for e in escore_notes: + if e[6] in trg_patch_list: + new_escore_notes.append(e) + + return new_escore_notes + +################################################################################### + +def compress_patches_in_escore_notes_chords(escore_notes, + max_num_patches_per_chord=4, + group_patches=True, + root_grouped_patches=False + ): + + if max_num_patches_per_chord > 4: + n_patches = 4 + elif max_num_patches_per_chord < 1: + n_patches = 1 + else: + n_patches = max_num_patches_per_chord + + cscore = chordify_score([1000, sorted(escore_notes, key=lambda x: (x[1], x[6]))]) + + new_escore_notes = [] + + for c in cscore: + + if group_patches: + patches_set = sorted(set([e[6] for e in c])) + trg_patch_list = [] + seen = [] + for p in patches_set: + if p // 8 not in seen: + trg_patch_list.append(p) + seen.append(p // 8) + + trg_patch_list = sorted(trg_patch_list) + + else: + trg_patch_list = sorted(set([e[6] for e in c])) + + if 128 in trg_patch_list and n_patches > 1: + trg_patch_list = trg_patch_list[:n_patches-1] + [128] + else: + trg_patch_list = trg_patch_list[:n_patches] + + for ccc in c: + + cc = copy.deepcopy(ccc) + + if group_patches: + if cc[6] // 8 in [t // 8 for t in trg_patch_list]: + if root_grouped_patches: + cc[6] = (cc[6] // 8) * 8 + new_escore_notes.append(cc) + + else: + if cc[6] in trg_patch_list: + new_escore_notes.append(cc) + + return new_escore_notes + +################################################################################### + +def escore_notes_to_image_matrix(escore_notes, + num_img_channels=3, + filter_out_zero_rows=False, + filter_out_duplicate_rows=False, + flip_matrix=False, + reverse_matrix=False + ): + + escore_notes = sorted(escore_notes, key=lambda x: (x[1], x[6])) + + if num_img_channels > 1: + n_mat_channels = 3 + else: + n_mat_channels = 1 + + if escore_notes: + last_time = escore_notes[-1][1] + last_notes = [e for e in escore_notes if e[1] == last_time] + max_last_dur = max([e[2] for e in last_notes]) + + time_range = last_time+max_last_dur + + escore_matrix = [] + + escore_matrix = [[0] * 128 for _ in range(time_range)] + + for note in escore_notes: + + etype, time, duration, chan, pitch, velocity, pat = note + + time = max(0, time) + duration = max(2, duration) + chan = max(0, min(15, chan)) + pitch = max(0, min(127, pitch)) + velocity = max(0, min(127, velocity)) + patch = max(0, min(128, pat)) + + if chan != 9: + pat = patch + 128 + else: + pat = 127 + + seen_pats = [] + + for t in range(time, min(time + duration, time_range)): + + mat_value = escore_matrix[t][pitch] + + mat_value_0 = (mat_value // (256 * 256)) % 256 + mat_value_1 = (mat_value // 256) % 256 + + cur_num_chans = 0 + + if 0 < mat_value < 256 and pat not in seen_pats: + cur_num_chans = 1 + elif 256 < mat_value < (256 * 256) and pat not in seen_pats: + cur_num_chans = 2 + + if cur_num_chans < n_mat_channels: + + if n_mat_channels == 1: + + escore_matrix[t][pitch] = pat + seen_pats.append(pat) + + elif n_mat_channels == 3: + + if cur_num_chans == 0: + escore_matrix[t][pitch] = pat + seen_pats.append(pat) + elif cur_num_chans == 1: + escore_matrix[t][pitch] = (256 * 256 * mat_value_0) + (256 * pat) + seen_pats.append(pat) + elif cur_num_chans == 2: + escore_matrix[t][pitch] = (256 * 256 * mat_value_0) + (256 * mat_value_1) + pat + seen_pats.append(pat) + + if filter_out_zero_rows: + escore_matrix = [e for e in escore_matrix if sum(e) != 0] + + if filter_out_duplicate_rows: + + dd_escore_matrix = [] + + pr = [-1] * 128 + for e in escore_matrix: + if e != pr: + dd_escore_matrix.append(e) + pr = e + + escore_matrix = dd_escore_matrix + + if flip_matrix: + + temp_matrix = [] + + for m in escore_matrix: + temp_matrix.append(m[::-1]) + + escore_matrix = temp_matrix + + if reverse_matrix: + escore_matrix = escore_matrix[::-1] + + return escore_matrix + + else: + return None + +################################################################################### + +def find_value_power(value, number): + return math.floor(math.log(value, number)) + +################################################################################### + +def image_matrix_to_original_escore_notes(image_matrix, + velocity=-1 + ): + + result = [] + + for j in range(len(image_matrix[0])): + + count = 1 + + for i in range(1, len(image_matrix)): + + if image_matrix[i][j] != 0 and image_matrix[i][j] == image_matrix[i-1][j]: + count += 1 + + else: + if count > 1: + result.append([i-count, count, j, image_matrix[i-1][j]]) + + else: + if image_matrix[i-1][j] != 0: + result.append([i-count, count, j, image_matrix[i-1][j]]) + + count = 1 + + if count > 1: + result.append([len(image_matrix)-count, count, j, image_matrix[-1][j]]) + + else: + if image_matrix[i-1][j] != 0: + result.append([i-count, count, j, image_matrix[i-1][j]]) + + result.sort(key=lambda x: (x[0], -x[2])) + + original_escore_notes = [] + + vel = velocity + + for r in result: + + if velocity == -1: + vel = max(40, r[2]) + + ptc0 = 0 + ptc1 = 0 + ptc2 = 0 + + if find_value_power(r[3], 256) == 0: + ptc0 = r[3] % 256 + + elif find_value_power(r[3], 256) == 1: + ptc0 = r[3] // 256 + ptc1 = (r[3] // 256) % 256 + + elif find_value_power(r[3], 256) == 2: + ptc0 = (r[3] // 256) // 256 + ptc1 = (r[3] // 256) % 256 + ptc2 = r[3] % 256 + + ptcs = [ptc0, ptc1, ptc2] + patches = [p for p in ptcs if p != 0] + + for i, p in enumerate(patches): + + if p < 128: + patch = 128 + channel = 9 + + else: + patch = p % 128 + chan = p // 8 + + if chan == 9: + chan += 1 + + channel = min(15, chan) + + original_escore_notes.append(['note', r[0], r[1], channel, r[2], vel, patch]) + + output_score = sorted(original_escore_notes, key=lambda x: (x[1], -x[4], x[6])) + + adjust_score_velocities(output_score, 127) + + return output_score + +################################################################################### + +def escore_notes_delta_times(escore_notes, + timings_index=1, + channels_index=3, + omit_zeros=False, + omit_drums=False + ): + + if omit_drums: + + score = [e for e in escore_notes if e[channels_index] != 9] + dtimes = [score[0][timings_index]] + [b[timings_index]-a[timings_index] for a, b in zip(score[:-1], score[1:])] + + else: + dtimes = [escore_notes[0][timings_index]] + [b[timings_index]-a[timings_index] for a, b in zip(escore_notes[:-1], escore_notes[1:])] + + if omit_zeros: + dtimes = [d for d in dtimes if d != 0] + + return dtimes + +################################################################################### + +def monophonic_check(escore_notes, times_index=1): + return len(escore_notes) == len(set([e[times_index] for e in escore_notes])) + +################################################################################### + +def count_escore_notes_patches(escore_notes, patches_index=6): + return [list(c) for c in Counter([e[patches_index] for e in escore_notes]).most_common()] + +################################################################################### + +def escore_notes_medley(list_of_escore_notes, + list_of_labels=None, + pause_time_value=255 + ): + + if list_of_labels is not None: + labels = [str(l) for l in list_of_labels] + ['No label'] * (len(list_of_escore_notes)-len(list_of_labels)) + + medley = [] + + time = 0 + + for i, m in enumerate(list_of_escore_notes): + + if list_of_labels is not None: + medley.append(['text_event', time, labels[i]]) + + pe = m[0] + + for mm in m: + + time += mm[1] - pe[1] + + mmm = copy.deepcopy(mm) + mmm[1] = time + + medley.append(mmm) + + pe = mm + + time += pause_time_value + + return medley + +################################################################################### + +def proportions_counter(list_of_values): + + counts = Counter(list_of_values).most_common() + clen = sum([c[1] for c in counts]) + + return [[c[0], c[1], c[1] / clen] for c in counts] + +################################################################################### + +def smooth_escore_notes(escore_notes): + + values = [e[4] % 24 for e in escore_notes] + + smoothed = [values[0]] + + for i in range(1, len(values)): + if abs(smoothed[-1] - values[i]) >= 12: + if smoothed[-1] < values[i]: + smoothed.append(values[i] - 12) + else: + smoothed.append(values[i] + 12) + else: + smoothed.append(values[i]) + + smoothed_score = copy.deepcopy(escore_notes) + + for i, e in enumerate(smoothed_score): + esn_octave = escore_notes[i][4] // 12 + e[4] = (esn_octave * 12) + smoothed[i] + + return smoothed_score + +################################################################################### + +def add_base_to_escore_notes(escore_notes, + base_octave=2, + base_channel=2, + base_patch=35, + base_max_velocity=120, + return_base=False + ): + + + score = copy.deepcopy(escore_notes) + + cscore = chordify_score([1000, score]) + + base_score = [] + + for c in cscore: + chord = sorted([e for e in c if e[3] != 9], key=lambda x: x[4], reverse=True) + base_score.append(chord[-1]) + + base_score = smooth_escore_notes(base_score) + + for e in base_score: + e[3] = base_channel + e[4] = (base_octave * 12) + (e[4] % 12) + e[5] = e[4] + e[6] = base_patch + + adjust_score_velocities(base_score, base_max_velocity) + + if return_base: + final_score = sorted(base_score, key=lambda x: (x[1], -x[4], x[6])) + + else: + final_score = sorted(escore_notes + base_score, key=lambda x: (x[1], -x[4], x[6])) + + return final_score + +################################################################################### + +def add_drums_to_escore_notes(escore_notes, + heavy_drums_pitches=[36, 38, 47], + heavy_drums_velocity=110, + light_drums_pitches=[51, 54], + light_drums_velocity=127, + drums_max_velocity=127, + drums_ratio_time_divider=4, + return_drums=False + ): + + score = copy.deepcopy([e for e in escore_notes if e[3] != 9]) + + cscore = chordify_score([1000, score]) + + drums_score = [] + + for c in cscore: + min_dur = max(1, min([e[2] for e in c])) + if not (c[0][1] % drums_ratio_time_divider): + drum_note = ['note', c[0][1], min_dur, 9, heavy_drums_pitches[c[0][4] % len(heavy_drums_pitches)], heavy_drums_velocity, 128] + else: + drum_note = ['note', c[0][1], min_dur, 9, light_drums_pitches[c[0][4] % len(light_drums_pitches)], light_drums_velocity, 128] + drums_score.append(drum_note) + + adjust_score_velocities(drums_score, drums_max_velocity) + + if return_drums: + final_score = sorted(drums_score, key=lambda x: (x[1], -x[4], x[6])) + + else: + final_score = sorted(score + drums_score, key=lambda x: (x[1], -x[4], x[6])) + + return final_score + +################################################################################### + +def find_pattern_start_indexes(values, pattern): + + start_indexes = [] + + count = 0 + + for i in range(len(values)- len(pattern)): + chunk = values[i:i+len(pattern)] + + if chunk == pattern: + start_indexes.append(i) + + return start_indexes + +################################################################################### + +def escore_notes_lrno_pattern(escore_notes, mode='chords'): + + cscore = chordify_score([1000, escore_notes]) + + checked_cscore = advanced_check_and_fix_chords_in_chordified_score(cscore) + + chords_toks = [] + chords_idxs = [] + + for i, c in enumerate(checked_cscore[0]): + + pitches = sorted([p[4] for p in c if p[3] != 9], reverse=True) + tchord = pitches_to_tones_chord(pitches) + + if tchord: + + if mode == 'chords': + token = ALL_CHORDS_FULL.index(tchord) + + elif mode == 'high pitches': + token = pitches[0] + + elif mode == 'high pitches tones': + token = pitches[0] % 12 + + else: + token = ALL_CHORDS_FULL.index(tchord) + + chords_toks.append(token) + chords_idxs.append(i) + + lrno_pats = find_lrno_patterns(chords_toks) + + if lrno_pats: + + lrno_pattern = list(lrno_pats[0][2]) + + start_idx = chords_idxs[find_pattern_start_indexes(chords_toks, lrno_pattern)[0]] + end_idx = chords_idxs[start_idx + len(lrno_pattern)] + + return recalculate_score_timings(flatten(cscore[start_idx:end_idx])) + + else: + return None + +################################################################################### + +def chordified_score_pitches(chordified_score, + mode='dominant', + return_tones=False, + omit_drums=True, + score_patch=-1, + channels_index=3, + pitches_index=4, + patches_index=6 + ): + + results = [] + + for c in chordified_score: + + if -1 < score_patch < 128: + ptcs = sorted([e[pitches_index] for e in c if e[channels_index] != 9 and e[patches_index] == score_patch], reverse=True) + + else: + ptcs = sorted([e[pitches_index] for e in c if e[channels_index] != 9], reverse=True) + + if ptcs: + + if mode == 'dominant': + + mtone = statistics.mode([p % 12 for p in ptcs]) + + if return_tones: + results.append(mtone) + + else: + results.append(sorted(set([p for p in ptcs if p % 12 == mtone]), reverse=True)) + + elif mode == 'high': + + if return_tones: + results.append(ptcs[0] % 12) + + else: + results.append([ptcs[0]]) + + elif mode == 'base': + + if return_tones: + results.append(ptcs[-1] % 12) + + else: + results.append([ptcs[-1]]) + + elif mode == 'average': + + if return_tones: + results.append(statistics.mean(ptcs) % 12) + + else: + results.append([statistics.mean(ptcs)]) + + else: + + mtone = statistics.mode([p % 12 for p in ptcs]) + + if return_tones: + results.append(mtone) + + else: + results.append(sorted(set([p for p in ptcs if p % 12 == mtone]), reverse=True)) + + else: + + if not omit_drums: + + if return_tones: + results.append(-1) + + else: + results.append([-1]) + + return results + +################################################################################### + +def escore_notes_times_tones(escore_notes, + tones_mode='dominant', + return_abs_times=True, + omit_drums=False + ): + + cscore = chordify_score([1000, escore_notes]) + + tones = chordified_score_pitches(cscore, return_tones=True, mode=tones_mode, omit_drums=omit_drums) + + if return_abs_times: + times = sorted([c[0][1] for c in cscore]) + + else: + times = escore_notes_delta_times(escore_notes, omit_zeros=True, omit_drums=omit_drums) + + if len(times) != len(tones): + times = [0] + times + + return [[t, to] for t, to in zip(times, tones)] + +################################################################################### + +def escore_notes_middle(escore_notes, + length=10, + use_chords=True + ): + + if use_chords: + score = chordify_score([1000, escore_notes]) + + else: + score = escore_notes + + middle_idx = len(score) // 2 + + slen = min(len(score) // 2, length // 2) + + start_idx = middle_idx - slen + end_idx = middle_idx + slen + + if use_chords: + return flatten(score[start_idx:end_idx]) + + else: + return score[start_idx:end_idx] + +################################################################################### + +ALL_CHORDS_FULL = [[0], [0, 3], [0, 3, 5], [0, 3, 5, 8], [0, 3, 5, 9], [0, 3, 5, 10], [0, 3, 6], + [0, 3, 6, 9], [0, 3, 6, 10], [0, 3, 7], [0, 3, 7, 10], [0, 3, 8], [0, 3, 9], + [0, 3, 10], [0, 4], [0, 4, 6], [0, 4, 6, 9], [0, 4, 6, 10], [0, 4, 7], + [0, 4, 7, 10], [0, 4, 8], [0, 4, 9], [0, 4, 10], [0, 5], [0, 5, 8], [0, 5, 9], + [0, 5, 10], [0, 6], [0, 6, 9], [0, 6, 10], [0, 7], [0, 7, 10], [0, 8], [0, 9], + [0, 10], [1], [1, 4], [1, 4, 6], [1, 4, 6, 9], [1, 4, 6, 10], [1, 4, 6, 11], + [1, 4, 7], [1, 4, 7, 10], [1, 4, 7, 11], [1, 4, 8], [1, 4, 8, 11], [1, 4, 9], + [1, 4, 10], [1, 4, 11], [1, 5], [1, 5, 8], [1, 5, 8, 11], [1, 5, 9], + [1, 5, 10], [1, 5, 11], [1, 6], [1, 6, 9], [1, 6, 10], [1, 6, 11], [1, 7], + [1, 7, 10], [1, 7, 11], [1, 8], [1, 8, 11], [1, 9], [1, 10], [1, 11], [2], + [2, 5], [2, 5, 8], [2, 5, 8, 11], [2, 5, 9], [2, 5, 10], [2, 5, 11], [2, 6], + [2, 6, 9], [2, 6, 10], [2, 6, 11], [2, 7], [2, 7, 10], [2, 7, 11], [2, 8], + [2, 8, 11], [2, 9], [2, 10], [2, 11], [3], [3, 5], [3, 5, 8], [3, 5, 8, 11], + [3, 5, 9], [3, 5, 10], [3, 5, 11], [3, 6], [3, 6, 9], [3, 6, 10], [3, 6, 11], + [3, 7], [3, 7, 10], [3, 7, 11], [3, 8], [3, 8, 11], [3, 9], [3, 10], [3, 11], + [4], [4, 6], [4, 6, 9], [4, 6, 10], [4, 6, 11], [4, 7], [4, 7, 10], [4, 7, 11], + [4, 8], [4, 8, 11], [4, 9], [4, 10], [4, 11], [5], [5, 8], [5, 8, 11], [5, 9], + [5, 10], [5, 11], [6], [6, 9], [6, 10], [6, 11], [7], [7, 10], [7, 11], [8], + [8, 11], [9], [10], [11]] + +################################################################################### + +def escore_notes_to_parsons_code(escore_notes, + times_index=1, + pitches_index=4, + return_as_list=False + ): + + parsons = "*" + parsons_list = [] + + prev = ['note', -1, -1, -1, -1, -1, -1] + + for e in escore_notes: + if e[times_index] != prev[times_index]: + + if e[pitches_index] > prev[pitches_index]: + parsons += "U" + parsons_list.append(1) + + elif e[pitches_index] < prev[pitches_index]: + parsons += "D" + parsons_list.append(-1) + + elif e[pitches_index] == prev[pitches_index]: + parsons += "R" + parsons_list.append(0) + + prev = e + + if return_as_list: + return parsons_list + + else: + return parsons + +################################################################################### + +def all_consequtive(list_of_values): + return all(b > a for a, b in zip(list_of_values[:-1], list_of_values[1:])) + +################################################################################### + +def escore_notes_patches(escore_notes, patches_index=6): + return sorted(set([e[patches_index] for e in escore_notes])) + +################################################################################### + +def build_suffix_array(lst): + + n = len(lst) + + suffixes = [(lst[i:], i) for i in range(n)] + suffixes.sort() + suffix_array = [suffix[1] for suffix in suffixes] + + return suffix_array + +################################################################################### + +def build_lcp_array(lst, suffix_array): + + n = len(lst) + rank = [0] * n + lcp = [0] * n + + for i, suffix in enumerate(suffix_array): + rank[suffix] = i + + h = 0 + + for i in range(n): + if rank[i] > 0: + + j = suffix_array[rank[i] - 1] + + while i + h < n and j + h < n and lst[i + h] == lst[j + h]: + h += 1 + + lcp[rank[i]] = h + + if h > 0: + h -= 1 + + return lcp + +################################################################################### + +def find_lrno_pattern_fast(lst): + n = len(lst) + if n == 0: + return [] + + suffix_array = build_suffix_array(lst) + lcp_array = build_lcp_array(lst, suffix_array) + + max_len = 0 + start_index = 0 + + for i in range(1, n): + if lcp_array[i] > max_len: + if suffix_array[i] + lcp_array[i] <= suffix_array[i - 1] or suffix_array[i - 1] + lcp_array[i - 1] <= suffix_array[i]: + max_len = lcp_array[i] + start_index = suffix_array[i] + + return lst[start_index:start_index + max_len] + +################################################################################### + +def find_chunk_indexes(original_list, chunk, ignore_index=-1): + + chunk_length = len(chunk) + + for i in range(len(original_list) - chunk_length + 1): + + chunk_index = 0 + start_index = ignore_index + + for j in range(i, len(original_list)): + if original_list[j] == chunk[chunk_index]: + + if start_index == ignore_index: + start_index = j + + chunk_index += 1 + + if chunk_index == chunk_length: + return [start_index, j] + + elif original_list[j] != ignore_index: + break + + return None + +################################################################################### + +def escore_notes_lrno_pattern_fast(escore_notes, + channels_index=3, + pitches_index=4, + zero_start_time=True + ): + + cscore = chordify_score([1000, escore_notes]) + + score_chords = [] + + for c in cscore: + + tchord = sorted(set([e[pitches_index] % 12 for e in c if e[channels_index] != 9])) + + chord_tok = -1 + + if tchord: + + if tchord not in ALL_CHORDS_FULL: + tchord = check_and_fix_tones_chord(tchord) + + chord_tok = ALL_CHORDS_FULL.index(tchord) + + score_chords.append(chord_tok) + + schords = [c for c in score_chords if c != -1] + + lrno = find_lrno_pattern_fast(schords) + + if lrno: + + sidx, eidx = find_chunk_indexes(score_chords, lrno) + + escore_notes_lrno_pattern = flatten(cscore[sidx:eidx+1]) + + if escore_notes_lrno_pattern is not None: + + if zero_start_time: + return recalculate_score_timings(escore_notes_lrno_pattern) + + else: + return escore_notes_lrno_pattern + + else: + return None + + else: + return None + +################################################################################### + +def escore_notes_durations_counter(escore_notes, + min_duration=0, + durations_index=2, + channels_index=3 + ): + + escore = [e for e in escore_notes if e[channels_index] != 9] + durs = [e[durations_index] for e in escore if e[durations_index] >= min_duration] + zero_durs = sum([1 for e in escore if e[durations_index] == 0]) + + return [len(durs), len(escore), zero_durs, Counter(durs).most_common()] + +################################################################################### + +def count_bad_chords_in_chordified_score(chordified_score, + pitches_index=4, + patches_index=6, + max_patch=127, + use_full_chords=False + ): + + if use_full_chords: + CHORDS = ALL_CHORDS_FULL + + else: + CHORDS = ALL_CHORDS_SORTED + + bad_chords_count = 0 + + for c in chordified_score: + + cpitches = [e[pitches_index] for e in c if e[patches_index] <= max_patch] + tones_chord = sorted(set([p % 12 for p in cpitches])) + + if tones_chord: + if tones_chord not in CHORDS: + bad_chords_count += 1 + + return [bad_chords_count, len(chordified_score)] + +################################################################################### + +def needleman_wunsch_aligner(seq1, + seq2, + align_idx, + gap_penalty=-1, + match_score=2, + mismatch_penalty=-1 + ): + + n = len(seq1) + m = len(seq2) + + score_matrix = [[0] * (m + 1) for _ in range(n + 1)] + + for i in range(1, n + 1): + score_matrix[i][0] = gap_penalty * i + for j in range(1, m + 1): + score_matrix[0][j] = gap_penalty * j + + for i in range(1, n + 1): + for j in range(1, m + 1): + match = score_matrix[i-1][j-1] + (match_score if seq1[i-1][align_idx] == seq2[j-1][align_idx] else mismatch_penalty) + delete = score_matrix[i-1][j] + gap_penalty + insert = score_matrix[i][j-1] + gap_penalty + score_matrix[i][j] = max(match, delete, insert) + + align1, align2 = [], [] + i, j = n, m + + while i > 0 and j > 0: + + score = score_matrix[i][j] + score_diag = score_matrix[i-1][j-1] + score_up = score_matrix[i-1][j] + score_left = score_matrix[i][j-1] + + if score == score_diag + (match_score if seq1[i-1][align_idx] == seq2[j-1][align_idx] else mismatch_penalty): + align1.append(seq1[i-1]) + align2.append(seq2[j-1]) + i -= 1 + j -= 1 + elif score == score_up + gap_penalty: + align1.append(seq1[i-1]) + align2.append([None] * 6) + i -= 1 + elif score == score_left + gap_penalty: + align1.append([None] * 6) + align2.append(seq2[j-1]) + j -= 1 + + while i > 0: + align1.append(seq1[i-1]) + align2.append([None] * 6) + i -= 1 + while j > 0: + align1.append([None] * 6) + align2.append(seq2[j-1]) + j -= 1 + + align1.reverse() + align2.reverse() + + return align1, align2 + +################################################################################### + +def align_escore_notes_to_escore_notes(src_escore_notes, + trg_escore_notes, + recalculate_scores_timings=True, + pitches_idx=4 + ): + + if recalculate_scores_timings: + src_escore_notes = recalculate_score_timings(src_escore_notes) + trg_escore_notes = recalculate_score_timings(trg_escore_notes) + + src_align1, trg_align2 = needleman_wunsch_aligner(src_escore_notes, trg_escore_notes, pitches_idx) + + aligned_scores = [[al[0], al[1]] for al in zip(src_align1, trg_align2) if al[0][0] is not None and al[1][0] is not None] + + return aligned_scores + +################################################################################### + +def t_to_n(arr, si, t): + + ct = 0 + ci = si + + while ct + arr[ci][1] < t and ci < len(arr)-1: + ct += arr[ci][1] + ci += 1 + + return ci+1 + +################################################################################### + +def max_sum_chunk_idxs(arr, t=255): + + n = t_to_n(arr, 0, t) + + if n > len(arr): + return [0, n] + + max_sum = 0 + max_sum_start_index = 0 + + max_sum_start_idxs = [0, len(arr), sum([a[0] for a in arr])] + + for i in range(len(arr)): + + n = t_to_n(arr, i, t) + + current_sum = sum([a[0] for a in arr[i:n]]) + current_time = sum([a[1] for a in arr[i:n]]) + + if current_sum > max_sum and current_time <= t: + max_sum = current_sum + max_sum_start_idxs = [i, n, max_sum] + + return max_sum_start_idxs + +################################################################################### + +def find_highest_density_escore_notes_chunk(escore_notes, max_chunk_time=512): + + dscore = delta_score_notes(escore_notes) + + cscore = chordify_score([d[1:] for d in dscore]) + + notes_counts = [[len(c), c[0][0]] for c in cscore] + + msc_idxs = max_sum_chunk_idxs(notes_counts, max_chunk_time) + + chunk_dscore = [['note'] + c for c in flatten(cscore[msc_idxs[0]:msc_idxs[1]])] + + chunk_escore = recalculate_score_timings(delta_score_to_abs_score(chunk_dscore)) + + return chunk_escore + +################################################################################### +# +# This is the end of the TMIDI X Python module +# +################################################################################### \ No newline at end of file