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Upload 2 files
Browse files- TMIDIX.py +1911 -17
- midi_to_colab_audio.py +0 -0
TMIDIX.py
CHANGED
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@@ -41,7 +41,9 @@ r'''############################################################################
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# Please see TMIDI 2.3/tegridy-tools repo for full MIDI.py module code
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#
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# Or you can always download the latest full version from:
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-
#
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#
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# Copyright 2020 Peter Billam
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#
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@@ -172,7 +174,7 @@ Translates a "score" into MIDI, using score2opus() then opus2midi()
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#--------------------------- Decoding stuff ------------------------
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def midi2opus(midi=b''):
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r'''Translates MIDI into a "opus". For a description of the
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"opus" format, see opus2midi()
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'''
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@@ -184,7 +186,8 @@ def midi2opus(midi=b''):
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if id != b'MThd':
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_warn("midi2opus: midi starts with "+str(id)+" instead of 'MThd'")
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_clean_up_warnings()
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-
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[length, format, tracks_expected, ticks] = struct.unpack(
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'>IHHH', bytes(my_midi[4:14]))
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if length != 6:
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@@ -264,23 +267,101 @@ see opus2midi() and score2opus().
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_clean_up_warnings()
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return score
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def midi2score(midi=b''):
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r'''
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Translates MIDI into a "score", using midi2opus() then opus2score()
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'''
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return opus2score(midi2opus(midi))
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def midi2ms_score(midi=b''):
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r'''
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Translates MIDI into a "score" with one beat per second and one
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tick per millisecond, using midi2opus() then to_millisecs()
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then opus2score()
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'''
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-
return opus2score(to_millisecs(midi2opus(midi)))
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#------------------------ Other Transformations ---------------------
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def to_millisecs(old_opus=None, desired_time_in_ms=1):
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r'''Recallibrates all the times in an "opus" to use one beat
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per second and one tick per millisecond. This makes it
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hard to retrieve any information about beats or barlines,
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ticks_so_far = 0
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ms_so_far = 0.0
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previous_ms_so_far = 0.0
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for old_event in old_opus[itrack]:
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# detect if ticks2tempo has something before this event
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# 20160702 if ticks2tempo is at the same time, leave it
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@@ -336,9 +421,19 @@ but it does make it easy to mix different scores together.
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new_event = copy.deepcopy(old_event) # now handle the new event
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ms_so_far += (ms_per_old_tick * old_event[1] * desired_time_in_ms)
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new_event[1] = round(ms_so_far - previous_ms_so_far)
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-
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ticks_so_far += event_delta_ticks
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new_opus.append(new_track)
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itrack += 1
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@@ -1378,6 +1473,7 @@ import tqdm
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from itertools import zip_longest
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from itertools import groupby
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from operator import itemgetter
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@@ -1389,6 +1485,8 @@ from difflib import SequenceMatcher as SM
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import statistics
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###################################################################################
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#
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# Original TMIDI Tegridy helper functions
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@@ -1499,7 +1597,8 @@ def Tegridy_SONG_to_MIDI_Converter(SONG,
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number_of_ticks_per_quarter = 425,
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list_of_MIDI_patches = [0, 24, 32, 40, 42, 46, 56, 71, 73, 0, 0, 0, 0, 0, 0, 0],
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output_file_name = 'TMIDI-Composition',
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text_encoding='ISO-8859-1'
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'''Tegridy SONG to MIDI Converter
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Project Los Angeles
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Tegridy Code 2020'''
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-
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output_header = [number_of_ticks_per_quarter,
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[['track_name', 0, bytes(output_signature, text_encoding)]]]
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midi_file.write(midi_data)
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midi_file.close()
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return detailed_MIDI_stats
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###################################################################################
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-
#
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###################################################################################
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|
| 41 |
# Please see TMIDI 2.3/tegridy-tools repo for full MIDI.py module code
|
| 42 |
#
|
| 43 |
# Or you can always download the latest full version from:
|
| 44 |
+
#
|
| 45 |
+
# https://pjb.com.au/
|
| 46 |
+
# https://peterbillam.gitlab.io/miditools/
|
| 47 |
#
|
| 48 |
# Copyright 2020 Peter Billam
|
| 49 |
#
|
|
|
|
| 174 |
|
| 175 |
#--------------------------- Decoding stuff ------------------------
|
| 176 |
|
| 177 |
+
def midi2opus(midi=b'', do_not_check_MIDI_signature=False):
|
| 178 |
r'''Translates MIDI into a "opus". For a description of the
|
| 179 |
"opus" format, see opus2midi()
|
| 180 |
'''
|
|
|
|
| 186 |
if id != b'MThd':
|
| 187 |
_warn("midi2opus: midi starts with "+str(id)+" instead of 'MThd'")
|
| 188 |
_clean_up_warnings()
|
| 189 |
+
if do_not_check_MIDI_signature == False:
|
| 190 |
+
return [1000,[],]
|
| 191 |
[length, format, tracks_expected, ticks] = struct.unpack(
|
| 192 |
'>IHHH', bytes(my_midi[4:14]))
|
| 193 |
if length != 6:
|
|
|
|
| 267 |
_clean_up_warnings()
|
| 268 |
return score
|
| 269 |
|
| 270 |
+
def midi2score(midi=b'', do_not_check_MIDI_signature=False):
|
| 271 |
r'''
|
| 272 |
Translates MIDI into a "score", using midi2opus() then opus2score()
|
| 273 |
'''
|
| 274 |
+
return opus2score(midi2opus(midi, do_not_check_MIDI_signature))
|
| 275 |
|
| 276 |
+
def midi2ms_score(midi=b'', do_not_check_MIDI_signature=False):
|
| 277 |
r'''
|
| 278 |
Translates MIDI into a "score" with one beat per second and one
|
| 279 |
tick per millisecond, using midi2opus() then to_millisecs()
|
| 280 |
then opus2score()
|
| 281 |
'''
|
| 282 |
+
return opus2score(to_millisecs(midi2opus(midi, do_not_check_MIDI_signature)))
|
| 283 |
+
|
| 284 |
+
def midi2single_track_ms_score(midi_path_or_bytes,
|
| 285 |
+
recalculate_channels = False,
|
| 286 |
+
pass_old_timings_events= False,
|
| 287 |
+
verbose = False,
|
| 288 |
+
do_not_check_MIDI_signature=False
|
| 289 |
+
):
|
| 290 |
+
r'''
|
| 291 |
+
Translates MIDI into a single track "score" with 16 instruments and one beat per second and one
|
| 292 |
+
tick per millisecond
|
| 293 |
+
'''
|
| 294 |
+
|
| 295 |
+
if type(midi_path_or_bytes) == bytes:
|
| 296 |
+
midi_data = midi_path_or_bytes
|
| 297 |
+
|
| 298 |
+
elif type(midi_path_or_bytes) == str:
|
| 299 |
+
midi_data = open(midi_path_or_bytes, 'rb').read()
|
| 300 |
+
|
| 301 |
+
score = midi2score(midi_data, do_not_check_MIDI_signature)
|
| 302 |
+
|
| 303 |
+
if recalculate_channels:
|
| 304 |
+
|
| 305 |
+
events_matrixes = []
|
| 306 |
+
|
| 307 |
+
itrack = 1
|
| 308 |
+
events_matrixes_channels = []
|
| 309 |
+
while itrack < len(score):
|
| 310 |
+
events_matrix = []
|
| 311 |
+
for event in score[itrack]:
|
| 312 |
+
if event[0] == 'note' and event[3] != 9:
|
| 313 |
+
event[3] = (16 * (itrack-1)) + event[3]
|
| 314 |
+
if event[3] not in events_matrixes_channels:
|
| 315 |
+
events_matrixes_channels.append(event[3])
|
| 316 |
+
|
| 317 |
+
events_matrix.append(event)
|
| 318 |
+
events_matrixes.append(events_matrix)
|
| 319 |
+
itrack += 1
|
| 320 |
+
|
| 321 |
+
events_matrix1 = []
|
| 322 |
+
for e in events_matrixes:
|
| 323 |
+
events_matrix1.extend(e)
|
| 324 |
+
|
| 325 |
+
if verbose:
|
| 326 |
+
if len(events_matrixes_channels) > 16:
|
| 327 |
+
print('MIDI has', len(events_matrixes_channels), 'instruments!', len(events_matrixes_channels) - 16, 'instrument(s) will be removed!')
|
| 328 |
+
|
| 329 |
+
for e in events_matrix1:
|
| 330 |
+
if e[0] == 'note' and e[3] != 9:
|
| 331 |
+
if e[3] in events_matrixes_channels[:15]:
|
| 332 |
+
if events_matrixes_channels[:15].index(e[3]) < 9:
|
| 333 |
+
e[3] = events_matrixes_channels[:15].index(e[3])
|
| 334 |
+
else:
|
| 335 |
+
e[3] = events_matrixes_channels[:15].index(e[3])+1
|
| 336 |
+
else:
|
| 337 |
+
events_matrix1.remove(e)
|
| 338 |
+
|
| 339 |
+
if e[0] in ['patch_change', 'control_change', 'channel_after_touch', 'key_after_touch', 'pitch_wheel_change'] and e[2] != 9:
|
| 340 |
+
if e[2] in [e % 16 for e in events_matrixes_channels[:15]]:
|
| 341 |
+
if [e % 16 for e in events_matrixes_channels[:15]].index(e[2]) < 9:
|
| 342 |
+
e[2] = [e % 16 for e in events_matrixes_channels[:15]].index(e[2])
|
| 343 |
+
else:
|
| 344 |
+
e[2] = [e % 16 for e in events_matrixes_channels[:15]].index(e[2])+1
|
| 345 |
+
else:
|
| 346 |
+
events_matrix1.remove(e)
|
| 347 |
+
|
| 348 |
+
else:
|
| 349 |
+
events_matrix1 = []
|
| 350 |
+
itrack = 1
|
| 351 |
+
|
| 352 |
+
while itrack < len(score):
|
| 353 |
+
for event in score[itrack]:
|
| 354 |
+
events_matrix1.append(event)
|
| 355 |
+
itrack += 1
|
| 356 |
+
|
| 357 |
+
opus = score2opus([score[0], events_matrix1])
|
| 358 |
+
ms_score = opus2score(to_millisecs(opus, pass_old_timings_events=pass_old_timings_events))
|
| 359 |
+
|
| 360 |
+
return ms_score
|
| 361 |
|
| 362 |
#------------------------ Other Transformations ---------------------
|
| 363 |
|
| 364 |
+
def to_millisecs(old_opus=None, desired_time_in_ms=1, pass_old_timings_events = False):
|
| 365 |
r'''Recallibrates all the times in an "opus" to use one beat
|
| 366 |
per second and one tick per millisecond. This makes it
|
| 367 |
hard to retrieve any information about beats or barlines,
|
|
|
|
| 401 |
ticks_so_far = 0
|
| 402 |
ms_so_far = 0.0
|
| 403 |
previous_ms_so_far = 0.0
|
| 404 |
+
|
| 405 |
+
if pass_old_timings_events:
|
| 406 |
+
new_track = [['set_tempo',0,1000000 * desired_time_in_ms],['old_tpq', 0, old_tpq]] # new "crochet" is 1 sec
|
| 407 |
+
else:
|
| 408 |
+
new_track = [['set_tempo',0,1000000 * desired_time_in_ms],] # new "crochet" is 1 sec
|
| 409 |
for old_event in old_opus[itrack]:
|
| 410 |
# detect if ticks2tempo has something before this event
|
| 411 |
# 20160702 if ticks2tempo is at the same time, leave it
|
|
|
|
| 421 |
new_event = copy.deepcopy(old_event) # now handle the new event
|
| 422 |
ms_so_far += (ms_per_old_tick * old_event[1] * desired_time_in_ms)
|
| 423 |
new_event[1] = round(ms_so_far - previous_ms_so_far)
|
| 424 |
+
|
| 425 |
+
if pass_old_timings_events:
|
| 426 |
+
if old_event[0] != 'set_tempo':
|
| 427 |
+
previous_ms_so_far = ms_so_far
|
| 428 |
+
new_track.append(new_event)
|
| 429 |
+
else:
|
| 430 |
+
new_event[0] = 'old_set_tempo'
|
| 431 |
+
previous_ms_so_far = ms_so_far
|
| 432 |
+
new_track.append(new_event)
|
| 433 |
+
else:
|
| 434 |
+
if old_event[0] != 'set_tempo':
|
| 435 |
+
previous_ms_so_far = ms_so_far
|
| 436 |
+
new_track.append(new_event)
|
| 437 |
ticks_so_far += event_delta_ticks
|
| 438 |
new_opus.append(new_track)
|
| 439 |
itrack += 1
|
|
|
|
| 1473 |
|
| 1474 |
from itertools import zip_longest
|
| 1475 |
from itertools import groupby
|
| 1476 |
+
from collections import Counter
|
| 1477 |
|
| 1478 |
from operator import itemgetter
|
| 1479 |
|
|
|
|
| 1485 |
|
| 1486 |
import statistics
|
| 1487 |
|
| 1488 |
+
import matplotlib.pyplot as plt
|
| 1489 |
+
|
| 1490 |
###################################################################################
|
| 1491 |
#
|
| 1492 |
# Original TMIDI Tegridy helper functions
|
|
|
|
| 1597 |
number_of_ticks_per_quarter = 425,
|
| 1598 |
list_of_MIDI_patches = [0, 24, 32, 40, 42, 46, 56, 71, 73, 0, 0, 0, 0, 0, 0, 0],
|
| 1599 |
output_file_name = 'TMIDI-Composition',
|
| 1600 |
+
text_encoding='ISO-8859-1',
|
| 1601 |
+
verbose=True):
|
| 1602 |
|
| 1603 |
'''Tegridy SONG to MIDI Converter
|
| 1604 |
|
|
|
|
| 1615 |
|
| 1616 |
Project Los Angeles
|
| 1617 |
Tegridy Code 2020'''
|
| 1618 |
+
|
| 1619 |
+
if verbose:
|
| 1620 |
+
print('Converting to MIDI. Please stand-by...')
|
| 1621 |
|
| 1622 |
output_header = [number_of_ticks_per_quarter,
|
| 1623 |
[['track_name', 0, bytes(output_signature, text_encoding)]]]
|
|
|
|
| 1649 |
midi_file.write(midi_data)
|
| 1650 |
midi_file.close()
|
| 1651 |
|
| 1652 |
+
if verbose:
|
| 1653 |
+
print('Done! Enjoy! :)')
|
| 1654 |
+
|
| 1655 |
+
return detailed_MIDI_stats
|
| 1656 |
+
|
| 1657 |
+
###################################################################################
|
| 1658 |
+
|
| 1659 |
+
def Tegridy_ms_SONG_to_MIDI_Converter(ms_SONG,
|
| 1660 |
+
output_signature = 'Tegridy TMIDI Module',
|
| 1661 |
+
track_name = 'Composition Track',
|
| 1662 |
+
list_of_MIDI_patches = [0, 24, 32, 40, 42, 46, 56, 71, 73, 0, 0, 0, 0, 0, 0, 0],
|
| 1663 |
+
output_file_name = 'TMIDI-Composition',
|
| 1664 |
+
text_encoding='ISO-8859-1',
|
| 1665 |
+
timings_multiplier=1,
|
| 1666 |
+
verbose=True
|
| 1667 |
+
):
|
| 1668 |
+
|
| 1669 |
+
'''Tegridy milisecond SONG to MIDI Converter
|
| 1670 |
+
|
| 1671 |
+
Input: Input ms SONG in TMIDI ms SONG/MIDI.py ms Score format
|
| 1672 |
+
Output MIDI Track 0 name / MIDI Signature
|
| 1673 |
+
Output MIDI Track 1 name / Composition track name
|
| 1674 |
+
List of 16 MIDI patch numbers for output MIDI. Def. is MuseNet compatible patches.
|
| 1675 |
+
Output file name w/o .mid extension.
|
| 1676 |
+
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.
|
| 1677 |
+
Optional timings multiplier
|
| 1678 |
+
Optional verbose output
|
| 1679 |
+
|
| 1680 |
+
Output: MIDI File
|
| 1681 |
+
Detailed MIDI stats
|
| 1682 |
+
|
| 1683 |
+
Project Los Angeles
|
| 1684 |
+
Tegridy Code 2024'''
|
| 1685 |
+
|
| 1686 |
+
if verbose:
|
| 1687 |
+
print('Converting to MIDI. Please stand-by...')
|
| 1688 |
+
|
| 1689 |
+
output_header = [1000,
|
| 1690 |
+
[['set_tempo', 0, 1000000],
|
| 1691 |
+
['time_signature', 0, 4, 2, 24, 8],
|
| 1692 |
+
['track_name', 0, bytes(output_signature, text_encoding)]]]
|
| 1693 |
+
|
| 1694 |
+
patch_list = [['patch_change', 0, 0, list_of_MIDI_patches[0]],
|
| 1695 |
+
['patch_change', 0, 1, list_of_MIDI_patches[1]],
|
| 1696 |
+
['patch_change', 0, 2, list_of_MIDI_patches[2]],
|
| 1697 |
+
['patch_change', 0, 3, list_of_MIDI_patches[3]],
|
| 1698 |
+
['patch_change', 0, 4, list_of_MIDI_patches[4]],
|
| 1699 |
+
['patch_change', 0, 5, list_of_MIDI_patches[5]],
|
| 1700 |
+
['patch_change', 0, 6, list_of_MIDI_patches[6]],
|
| 1701 |
+
['patch_change', 0, 7, list_of_MIDI_patches[7]],
|
| 1702 |
+
['patch_change', 0, 8, list_of_MIDI_patches[8]],
|
| 1703 |
+
['patch_change', 0, 9, list_of_MIDI_patches[9]],
|
| 1704 |
+
['patch_change', 0, 10, list_of_MIDI_patches[10]],
|
| 1705 |
+
['patch_change', 0, 11, list_of_MIDI_patches[11]],
|
| 1706 |
+
['patch_change', 0, 12, list_of_MIDI_patches[12]],
|
| 1707 |
+
['patch_change', 0, 13, list_of_MIDI_patches[13]],
|
| 1708 |
+
['patch_change', 0, 14, list_of_MIDI_patches[14]],
|
| 1709 |
+
['patch_change', 0, 15, list_of_MIDI_patches[15]],
|
| 1710 |
+
['track_name', 0, bytes(track_name, text_encoding)]]
|
| 1711 |
+
|
| 1712 |
+
SONG = copy.deepcopy(ms_SONG)
|
| 1713 |
+
|
| 1714 |
+
if timings_multiplier != 1:
|
| 1715 |
+
for S in SONG:
|
| 1716 |
+
S[1] = S[1] * timings_multiplier
|
| 1717 |
+
if S[0] == 'note':
|
| 1718 |
+
S[2] = S[2] * timings_multiplier
|
| 1719 |
+
|
| 1720 |
+
output = output_header + [patch_list + SONG]
|
| 1721 |
+
|
| 1722 |
+
midi_data = score2midi(output, text_encoding)
|
| 1723 |
+
detailed_MIDI_stats = score2stats(output)
|
| 1724 |
+
|
| 1725 |
+
with open(output_file_name + '.mid', 'wb') as midi_file:
|
| 1726 |
+
midi_file.write(midi_data)
|
| 1727 |
+
midi_file.close()
|
| 1728 |
+
|
| 1729 |
+
if verbose:
|
| 1730 |
+
print('Done! Enjoy! :)')
|
| 1731 |
+
|
| 1732 |
+
return detailed_MIDI_stats
|
| 1733 |
+
|
| 1734 |
+
###################################################################################
|
| 1735 |
+
|
| 1736 |
+
def hsv_to_rgb(h, s, v):
|
| 1737 |
+
if s == 0.0:
|
| 1738 |
+
return v, v, v
|
| 1739 |
+
i = int(h*6.0)
|
| 1740 |
+
f = (h*6.0) - i
|
| 1741 |
+
p = v*(1.0 - s)
|
| 1742 |
+
q = v*(1.0 - s*f)
|
| 1743 |
+
t = v*(1.0 - s*(1.0-f))
|
| 1744 |
+
i = i%6
|
| 1745 |
+
return [(v, t, p), (q, v, p), (p, v, t), (p, q, v), (t, p, v), (v, p, q)][i]
|
| 1746 |
+
|
| 1747 |
+
def generate_colors(n):
|
| 1748 |
+
return [hsv_to_rgb(i/n, 1, 1) for i in range(n)]
|
| 1749 |
+
|
| 1750 |
+
def add_arrays(a, b):
|
| 1751 |
+
return [sum(pair) for pair in zip(a, b)]
|
| 1752 |
+
|
| 1753 |
+
#-------------------------------------------------------------------------------
|
| 1754 |
+
|
| 1755 |
+
def plot_ms_SONG(ms_song,
|
| 1756 |
+
preview_length_in_notes=0,
|
| 1757 |
+
block_lines_times_list = None,
|
| 1758 |
+
plot_title='ms Song',
|
| 1759 |
+
max_num_colors=129,
|
| 1760 |
+
drums_color_num=128,
|
| 1761 |
+
plot_size=(11,4),
|
| 1762 |
+
note_height = 0.75,
|
| 1763 |
+
show_grid_lines=False,
|
| 1764 |
+
return_plt = False
|
| 1765 |
+
):
|
| 1766 |
+
|
| 1767 |
+
'''Tegridy ms SONG plotter/vizualizer'''
|
| 1768 |
+
|
| 1769 |
+
notes = [s for s in ms_song if s[0] == 'note']
|
| 1770 |
+
|
| 1771 |
+
if (len(max(notes, key=len)) != 7) and (len(min(notes, key=len)) != 7):
|
| 1772 |
+
print('The song notes do not have patches information')
|
| 1773 |
+
print('Ploease add patches to the notes in the song')
|
| 1774 |
+
|
| 1775 |
+
else:
|
| 1776 |
+
|
| 1777 |
+
start_times = [s[1] / 1000 for s in notes]
|
| 1778 |
+
durations = [s[2] / 1000 for s in notes]
|
| 1779 |
+
pitches = [s[4] for s in notes]
|
| 1780 |
+
patches = [s[6] for s in notes]
|
| 1781 |
+
|
| 1782 |
+
colors = generate_colors(max_num_colors)
|
| 1783 |
+
colors[drums_color_num] = (1, 1, 1)
|
| 1784 |
+
|
| 1785 |
+
pbl = notes[preview_length_in_notes][1] / 1000
|
| 1786 |
+
|
| 1787 |
+
fig, ax = plt.subplots(figsize=plot_size)
|
| 1788 |
+
#fig, ax = plt.subplots()
|
| 1789 |
+
|
| 1790 |
+
# Create a rectangle for each note with color based on patch number
|
| 1791 |
+
for start, duration, pitch, patch in zip(start_times, durations, pitches, patches):
|
| 1792 |
+
rect = plt.Rectangle((start, pitch), duration, note_height, facecolor=colors[patch])
|
| 1793 |
+
ax.add_patch(rect)
|
| 1794 |
+
|
| 1795 |
+
# Set the limits of the plot
|
| 1796 |
+
ax.set_xlim([min(start_times), max(add_arrays(start_times, durations))])
|
| 1797 |
+
ax.set_ylim([min(pitches)-1, max(pitches)+1])
|
| 1798 |
+
|
| 1799 |
+
# Set the background color to black
|
| 1800 |
+
ax.set_facecolor('black')
|
| 1801 |
+
fig.patch.set_facecolor('white')
|
| 1802 |
+
|
| 1803 |
+
if preview_length_in_notes > 0:
|
| 1804 |
+
ax.axvline(x=pbl, c='white')
|
| 1805 |
+
|
| 1806 |
+
if block_lines_times_list:
|
| 1807 |
+
for bl in block_lines_times_list:
|
| 1808 |
+
ax.axvline(x=bl, c='white')
|
| 1809 |
+
|
| 1810 |
+
if show_grid_lines:
|
| 1811 |
+
ax.grid(color='white')
|
| 1812 |
+
|
| 1813 |
+
plt.xlabel('Time (s)', c='black')
|
| 1814 |
+
plt.ylabel('MIDI Pitch', c='black')
|
| 1815 |
+
|
| 1816 |
+
plt.title(plot_title)
|
| 1817 |
+
|
| 1818 |
+
if return_plt:
|
| 1819 |
+
return fig
|
| 1820 |
+
|
| 1821 |
+
plt.show()
|
| 1822 |
+
|
| 1823 |
+
###################################################################################
|
| 1824 |
+
|
| 1825 |
+
def Tegridy_SONG_to_Full_MIDI_Converter(SONG,
|
| 1826 |
+
output_signature = 'Tegridy TMIDI Module',
|
| 1827 |
+
track_name = 'Composition Track',
|
| 1828 |
+
number_of_ticks_per_quarter = 1000,
|
| 1829 |
+
output_file_name = 'TMIDI-Composition',
|
| 1830 |
+
text_encoding='ISO-8859-1',
|
| 1831 |
+
verbose=True):
|
| 1832 |
+
|
| 1833 |
+
'''Tegridy SONG to Full MIDI Converter
|
| 1834 |
+
|
| 1835 |
+
Input: Input SONG in Full TMIDI SONG/MIDI.py Score format
|
| 1836 |
+
Output MIDI Track 0 name / MIDI Signature
|
| 1837 |
+
Output MIDI Track 1 name / Composition track name
|
| 1838 |
+
Number of ticks per quarter for the output MIDI
|
| 1839 |
+
Output file name w/o .mid extension.
|
| 1840 |
+
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.
|
| 1841 |
+
|
| 1842 |
+
Output: MIDI File
|
| 1843 |
+
Detailed MIDI stats
|
| 1844 |
+
|
| 1845 |
+
Project Los Angeles
|
| 1846 |
+
Tegridy Code 2023'''
|
| 1847 |
+
|
| 1848 |
+
if verbose:
|
| 1849 |
+
print('Converting to MIDI. Please stand-by...')
|
| 1850 |
+
|
| 1851 |
+
output_header = [number_of_ticks_per_quarter,
|
| 1852 |
+
[['set_tempo', 0, 1000000],
|
| 1853 |
+
['track_name', 0, bytes(output_signature, text_encoding)]]]
|
| 1854 |
+
|
| 1855 |
+
song_track = [['track_name', 0, bytes(track_name, text_encoding)]]
|
| 1856 |
+
|
| 1857 |
+
output = output_header + [song_track + SONG]
|
| 1858 |
+
|
| 1859 |
+
midi_data = score2midi(output, text_encoding)
|
| 1860 |
+
detailed_MIDI_stats = score2stats(output)
|
| 1861 |
+
|
| 1862 |
+
with open(output_file_name + '.mid', 'wb') as midi_file:
|
| 1863 |
+
midi_file.write(midi_data)
|
| 1864 |
+
midi_file.close()
|
| 1865 |
+
|
| 1866 |
+
if verbose:
|
| 1867 |
+
print('Done! Enjoy! :)')
|
| 1868 |
|
| 1869 |
return detailed_MIDI_stats
|
| 1870 |
|
|
|
|
| 3512 |
|
| 3513 |
###################################################################################
|
| 3514 |
|
| 3515 |
+
# Binary chords functions
|
| 3516 |
+
|
| 3517 |
+
def tones_chord_to_bits(chord):
|
| 3518 |
+
bits = [0] * 12
|
| 3519 |
+
for num in chord:
|
| 3520 |
+
bits[num] = 1
|
| 3521 |
+
|
| 3522 |
+
return bits
|
| 3523 |
+
|
| 3524 |
+
def bits_to_tones_chord(bits):
|
| 3525 |
+
return [i for i, bit in enumerate(bits) if bit == 1]
|
| 3526 |
+
|
| 3527 |
+
def shift_bits(bits, n):
|
| 3528 |
+
return bits[-n:] + bits[:-n]
|
| 3529 |
+
|
| 3530 |
+
def bits_to_int(bits, shift_bits_value=0):
|
| 3531 |
+
bits = shift_bits(bits, shift_bits_value)
|
| 3532 |
+
result = 0
|
| 3533 |
+
for bit in bits:
|
| 3534 |
+
result = (result << 1) | bit
|
| 3535 |
+
|
| 3536 |
+
return result
|
| 3537 |
+
|
| 3538 |
+
def int_to_bits(n):
|
| 3539 |
+
bits = [0] * 12
|
| 3540 |
+
for i in range(12):
|
| 3541 |
+
bits[11 - i] = n % 2
|
| 3542 |
+
n //= 2
|
| 3543 |
+
|
| 3544 |
+
return bits
|
| 3545 |
+
|
| 3546 |
+
def bad_chord(chord):
|
| 3547 |
+
bad = any(b - a == 1 for a, b in zip(chord, chord[1:]))
|
| 3548 |
+
if (0 in chord) and (11 in chord):
|
| 3549 |
+
bad = True
|
| 3550 |
+
|
| 3551 |
+
return bad
|
| 3552 |
+
|
| 3553 |
+
def pitches_chord_to_int(pitches_chord, tones_transpose_value=0):
|
| 3554 |
+
|
| 3555 |
+
pitches_chord = [x for x in pitches_chord if 0 < x < 128]
|
| 3556 |
+
|
| 3557 |
+
if not (-12 < tones_transpose_value < 12):
|
| 3558 |
+
tones_transpose_value = 0
|
| 3559 |
+
|
| 3560 |
+
tones_chord = sorted(list(set([c % 12 for c in sorted(list(set(pitches_chord)))])))
|
| 3561 |
+
bits = tones_chord_to_bits(tones_chord)
|
| 3562 |
+
integer = bits_to_int(bits, shift_bits_value=tones_transpose_value)
|
| 3563 |
+
|
| 3564 |
+
return integer
|
| 3565 |
+
|
| 3566 |
+
def int_to_pitches_chord(integer, chord_base_pitch=60):
|
| 3567 |
+
if 0 < integer < 4096:
|
| 3568 |
+
bits = int_to_bits(integer)
|
| 3569 |
+
tones_chord = bits_to_tones_chord(bits)
|
| 3570 |
+
if not bad_chord(tones_chord):
|
| 3571 |
+
pitches_chord = [t+chord_base_pitch for t in tones_chord]
|
| 3572 |
+
return [pitches_chord, tones_chord]
|
| 3573 |
+
|
| 3574 |
+
else:
|
| 3575 |
+
return 0 # Bad chord code
|
| 3576 |
+
|
| 3577 |
+
else:
|
| 3578 |
+
return -1 # Bad integer code
|
| 3579 |
+
|
| 3580 |
+
###################################################################################
|
| 3581 |
+
|
| 3582 |
+
def bad_chord(chord):
|
| 3583 |
+
bad = any(b - a == 1 for a, b in zip(chord, chord[1:]))
|
| 3584 |
+
if (0 in chord) and (11 in chord):
|
| 3585 |
+
bad = True
|
| 3586 |
+
|
| 3587 |
+
return bad
|
| 3588 |
+
|
| 3589 |
+
def validate_pitches_chord(pitches_chord, return_sorted = True):
|
| 3590 |
+
|
| 3591 |
+
pitches_chord = sorted(list(set([x for x in pitches_chord if 0 < x < 128])))
|
| 3592 |
+
|
| 3593 |
+
tones_chord = sorted(list(set([c % 12 for c in sorted(list(set(pitches_chord)))])))
|
| 3594 |
+
|
| 3595 |
+
if not bad_chord(tones_chord):
|
| 3596 |
+
if return_sorted:
|
| 3597 |
+
pitches_chord.sort(reverse=True)
|
| 3598 |
+
return pitches_chord
|
| 3599 |
+
|
| 3600 |
+
else:
|
| 3601 |
+
if 0 in tones_chord and 11 in tones_chord:
|
| 3602 |
+
tones_chord.remove(0)
|
| 3603 |
+
|
| 3604 |
+
fixed_tones = [[a, b] for a, b in zip(tones_chord, tones_chord[1:]) if b-a != 1]
|
| 3605 |
+
|
| 3606 |
+
fixed_tones_chord = []
|
| 3607 |
+
for f in fixed_tones:
|
| 3608 |
+
fixed_tones_chord.extend(f)
|
| 3609 |
+
fixed_tones_chord = list(set(fixed_tones_chord))
|
| 3610 |
+
|
| 3611 |
+
fixed_pitches_chord = []
|
| 3612 |
+
|
| 3613 |
+
for p in pitches_chord:
|
| 3614 |
+
if (p % 12) in fixed_tones_chord:
|
| 3615 |
+
fixed_pitches_chord.append(p)
|
| 3616 |
+
|
| 3617 |
+
if return_sorted:
|
| 3618 |
+
fixed_pitches_chord.sort(reverse=True)
|
| 3619 |
+
|
| 3620 |
+
return fixed_pitches_chord
|
| 3621 |
+
|
| 3622 |
+
def validate_pitches(chord, channel_to_check = 0, return_sorted = True):
|
| 3623 |
+
|
| 3624 |
+
pitches_chord = sorted(list(set([x[4] for x in chord if 0 < x[4] < 128 and x[3] == channel_to_check])))
|
| 3625 |
+
|
| 3626 |
+
if pitches_chord:
|
| 3627 |
+
|
| 3628 |
+
tones_chord = sorted(list(set([c % 12 for c in sorted(list(set(pitches_chord)))])))
|
| 3629 |
+
|
| 3630 |
+
if not bad_chord(tones_chord):
|
| 3631 |
+
if return_sorted:
|
| 3632 |
+
chord.sort(key = lambda x: x[4], reverse=True)
|
| 3633 |
+
return chord
|
| 3634 |
+
|
| 3635 |
+
else:
|
| 3636 |
+
if 0 in tones_chord and 11 in tones_chord:
|
| 3637 |
+
tones_chord.remove(0)
|
| 3638 |
+
|
| 3639 |
+
fixed_tones = [[a, b] for a, b in zip(tones_chord, tones_chord[1:]) if b-a != 1]
|
| 3640 |
+
|
| 3641 |
+
fixed_tones_chord = []
|
| 3642 |
+
for f in fixed_tones:
|
| 3643 |
+
fixed_tones_chord.extend(f)
|
| 3644 |
+
fixed_tones_chord = list(set(fixed_tones_chord))
|
| 3645 |
+
|
| 3646 |
+
fixed_chord = []
|
| 3647 |
+
|
| 3648 |
+
for c in chord:
|
| 3649 |
+
if c[3] == channel_to_check:
|
| 3650 |
+
if (c[4] % 12) in fixed_tones_chord:
|
| 3651 |
+
fixed_chord.append(c)
|
| 3652 |
+
else:
|
| 3653 |
+
fixed_chord.append(c)
|
| 3654 |
+
|
| 3655 |
+
if return_sorted:
|
| 3656 |
+
fixed_chord.sort(key = lambda x: x[4], reverse=True)
|
| 3657 |
+
|
| 3658 |
+
return fixed_chord
|
| 3659 |
+
|
| 3660 |
+
else:
|
| 3661 |
+
chord.sort(key = lambda x: x[4], reverse=True)
|
| 3662 |
+
return chord
|
| 3663 |
+
|
| 3664 |
+
def adjust_score_velocities(score, max_velocity):
|
| 3665 |
+
|
| 3666 |
+
min_velocity = min([c[5] for c in score])
|
| 3667 |
+
max_velocity_all_channels = max([c[5] for c in score])
|
| 3668 |
+
min_velocity_ratio = min_velocity / max_velocity_all_channels
|
| 3669 |
+
|
| 3670 |
+
max_channel_velocity = max([c[5] for c in score])
|
| 3671 |
+
if max_channel_velocity < min_velocity:
|
| 3672 |
+
factor = max_velocity / min_velocity
|
| 3673 |
+
else:
|
| 3674 |
+
factor = max_velocity / max_channel_velocity
|
| 3675 |
+
for i in range(len(score)):
|
| 3676 |
+
score[i][5] = int(score[i][5] * factor)
|
| 3677 |
+
|
| 3678 |
+
def chordify_score(score,
|
| 3679 |
+
return_choridfied_score=True,
|
| 3680 |
+
return_detected_score_information=False
|
| 3681 |
+
):
|
| 3682 |
+
|
| 3683 |
+
if score:
|
| 3684 |
+
|
| 3685 |
+
num_tracks = 1
|
| 3686 |
+
single_track_score = []
|
| 3687 |
+
score_num_ticks = 0
|
| 3688 |
+
|
| 3689 |
+
if type(score[0]) == int and len(score) > 1:
|
| 3690 |
+
|
| 3691 |
+
score_type = 'MIDI_PY'
|
| 3692 |
+
score_num_ticks = score[0]
|
| 3693 |
+
|
| 3694 |
+
while num_tracks < len(score):
|
| 3695 |
+
for event in score[num_tracks]:
|
| 3696 |
+
single_track_score.append(event)
|
| 3697 |
+
num_tracks += 1
|
| 3698 |
+
|
| 3699 |
+
else:
|
| 3700 |
+
score_type = 'CUSTOM'
|
| 3701 |
+
single_track_score = score
|
| 3702 |
+
|
| 3703 |
+
if single_track_score and single_track_score[0]:
|
| 3704 |
+
|
| 3705 |
+
try:
|
| 3706 |
+
|
| 3707 |
+
if type(single_track_score[0][0]) == str or single_track_score[0][0] == 'note':
|
| 3708 |
+
single_track_score.sort(key = lambda x: x[1])
|
| 3709 |
+
score_timings = [s[1] for s in single_track_score]
|
| 3710 |
+
else:
|
| 3711 |
+
score_timings = [s[0] for s in single_track_score]
|
| 3712 |
+
|
| 3713 |
+
is_score_time_absolute = lambda sct: all(x <= y for x, y in zip(sct, sct[1:]))
|
| 3714 |
+
|
| 3715 |
+
score_timings_type = ''
|
| 3716 |
+
|
| 3717 |
+
if is_score_time_absolute(score_timings):
|
| 3718 |
+
score_timings_type = 'ABS'
|
| 3719 |
+
|
| 3720 |
+
chords = []
|
| 3721 |
+
cho = []
|
| 3722 |
+
|
| 3723 |
+
if score_type == 'MIDI_PY':
|
| 3724 |
+
pe = single_track_score[0]
|
| 3725 |
+
else:
|
| 3726 |
+
pe = single_track_score[0]
|
| 3727 |
+
|
| 3728 |
+
for e in single_track_score:
|
| 3729 |
+
|
| 3730 |
+
if score_type == 'MIDI_PY':
|
| 3731 |
+
time = e[1]
|
| 3732 |
+
ptime = pe[1]
|
| 3733 |
+
else:
|
| 3734 |
+
time = e[0]
|
| 3735 |
+
ptime = pe[0]
|
| 3736 |
+
|
| 3737 |
+
if time == ptime:
|
| 3738 |
+
cho.append(e)
|
| 3739 |
+
|
| 3740 |
+
else:
|
| 3741 |
+
if len(cho) > 0:
|
| 3742 |
+
chords.append(cho)
|
| 3743 |
+
cho = []
|
| 3744 |
+
cho.append(e)
|
| 3745 |
+
|
| 3746 |
+
pe = e
|
| 3747 |
+
|
| 3748 |
+
if len(cho) > 0:
|
| 3749 |
+
chords.append(cho)
|
| 3750 |
+
|
| 3751 |
+
else:
|
| 3752 |
+
score_timings_type = 'REL'
|
| 3753 |
+
|
| 3754 |
+
chords = []
|
| 3755 |
+
cho = []
|
| 3756 |
+
|
| 3757 |
+
for e in single_track_score:
|
| 3758 |
+
|
| 3759 |
+
if score_type == 'MIDI_PY':
|
| 3760 |
+
time = e[1]
|
| 3761 |
+
else:
|
| 3762 |
+
time = e[0]
|
| 3763 |
+
|
| 3764 |
+
if time == 0:
|
| 3765 |
+
cho.append(e)
|
| 3766 |
+
|
| 3767 |
+
else:
|
| 3768 |
+
if len(cho) > 0:
|
| 3769 |
+
chords.append(cho)
|
| 3770 |
+
cho = []
|
| 3771 |
+
cho.append(e)
|
| 3772 |
+
|
| 3773 |
+
if len(cho) > 0:
|
| 3774 |
+
chords.append(cho)
|
| 3775 |
+
|
| 3776 |
+
requested_data = []
|
| 3777 |
+
|
| 3778 |
+
if return_detected_score_information:
|
| 3779 |
+
|
| 3780 |
+
detected_score_information = []
|
| 3781 |
+
|
| 3782 |
+
detected_score_information.append(['Score type', score_type])
|
| 3783 |
+
detected_score_information.append(['Score timings type', score_timings_type])
|
| 3784 |
+
detected_score_information.append(['Score tpq', score_num_ticks])
|
| 3785 |
+
detected_score_information.append(['Score number of tracks', num_tracks])
|
| 3786 |
+
|
| 3787 |
+
requested_data.append(detected_score_information)
|
| 3788 |
+
|
| 3789 |
+
if return_choridfied_score and return_detected_score_information:
|
| 3790 |
+
requested_data.append(chords)
|
| 3791 |
+
|
| 3792 |
+
if return_choridfied_score and not return_detected_score_information:
|
| 3793 |
+
requested_data.extend(chords)
|
| 3794 |
+
|
| 3795 |
+
return requested_data
|
| 3796 |
+
|
| 3797 |
+
except Exception as e:
|
| 3798 |
+
print('Error!')
|
| 3799 |
+
print('Check score for consistency and compatibility!')
|
| 3800 |
+
print('Exception detected:', e)
|
| 3801 |
+
|
| 3802 |
+
else:
|
| 3803 |
+
return None
|
| 3804 |
+
|
| 3805 |
+
else:
|
| 3806 |
+
return None
|
| 3807 |
+
|
| 3808 |
+
def fix_monophonic_score_durations(monophonic_score):
|
| 3809 |
+
|
| 3810 |
+
fixed_score = []
|
| 3811 |
+
|
| 3812 |
+
if monophonic_score[0][0] == 'note':
|
| 3813 |
+
|
| 3814 |
+
for i in range(len(monophonic_score)-1):
|
| 3815 |
+
note = monophonic_score[i]
|
| 3816 |
+
|
| 3817 |
+
nmt = monophonic_score[i+1][1]
|
| 3818 |
+
|
| 3819 |
+
if note[1]+note[2] >= nmt:
|
| 3820 |
+
note_dur = nmt-note[1]-1
|
| 3821 |
+
else:
|
| 3822 |
+
note_dur = note[2]
|
| 3823 |
+
|
| 3824 |
+
new_note = [note[0], note[1], note_dur] + note[3:]
|
| 3825 |
+
|
| 3826 |
+
fixed_score.append(new_note)
|
| 3827 |
+
|
| 3828 |
+
fixed_score.append(monophonic_score[-1])
|
| 3829 |
+
|
| 3830 |
+
elif type(monophonic_score[0][0]) == int:
|
| 3831 |
+
|
| 3832 |
+
for i in range(len(monophonic_score)-1):
|
| 3833 |
+
note = monophonic_score[i]
|
| 3834 |
+
|
| 3835 |
+
nmt = monophonic_score[i+1][0]
|
| 3836 |
+
|
| 3837 |
+
if note[0]+note[1] >= nmt:
|
| 3838 |
+
note_dur = nmt-note[0]-1
|
| 3839 |
+
else:
|
| 3840 |
+
note_dur = note[1]
|
| 3841 |
+
|
| 3842 |
+
new_note = [note[0], note_dur] + note[2:]
|
| 3843 |
+
|
| 3844 |
+
fixed_score.append(new_note)
|
| 3845 |
+
|
| 3846 |
+
fixed_score.append(monophonic_score[-1])
|
| 3847 |
+
|
| 3848 |
+
return fixed_score
|
| 3849 |
|
| 3850 |
###################################################################################
|
| 3851 |
+
|
| 3852 |
+
from itertools import product
|
| 3853 |
+
|
| 3854 |
+
ALL_CHORDS = [[0], [7], [5], [9], [2], [4], [11], [10], [8], [6], [3], [1], [0, 9], [2, 5],
|
| 3855 |
+
[4, 7], [7, 10], [2, 11], [0, 3], [6, 9], [1, 4], [8, 11], [5, 8], [1, 10],
|
| 3856 |
+
[3, 6], [0, 4], [5, 9], [7, 11], [0, 7], [0, 5], [2, 10], [2, 7], [2, 9],
|
| 3857 |
+
[2, 6], [4, 11], [4, 9], [3, 7], [5, 10], [1, 9], [0, 8], [6, 11], [3, 11],
|
| 3858 |
+
[4, 8], [3, 10], [3, 8], [1, 5], [1, 8], [1, 6], [6, 10], [3, 9], [4, 10],
|
| 3859 |
+
[1, 7], [0, 6], [2, 8], [5, 11], [5, 7], [0, 10], [0, 2], [9, 11], [7, 9],
|
| 3860 |
+
[2, 4], [4, 6], [3, 5], [8, 10], [6, 8], [1, 3], [1, 11], [2, 7, 11],
|
| 3861 |
+
[0, 4, 7], [0, 5, 9], [2, 6, 9], [2, 5, 10], [1, 4, 9], [4, 8, 11], [3, 7, 10],
|
| 3862 |
+
[0, 3, 8], [3, 6, 11], [1, 5, 8], [1, 6, 10], [0, 4, 9], [2, 5, 9], [4, 7, 11],
|
| 3863 |
+
[2, 7, 10], [2, 6, 11], [0, 3, 7], [0, 5, 8], [1, 4, 8], [1, 6, 9], [3, 8, 11],
|
| 3864 |
+
[1, 5, 10], [3, 6, 10], [2, 5, 11], [4, 7, 10], [3, 6, 9], [0, 6, 9],
|
| 3865 |
+
[0, 3, 9], [2, 8, 11], [2, 5, 8], [1, 7, 10], [1, 4, 7], [0, 3, 6], [1, 4, 10],
|
| 3866 |
+
[5, 8, 11], [2, 5, 7], [0, 7, 10], [0, 2, 9], [0, 3, 5], [6, 9, 11], [4, 7, 9],
|
| 3867 |
+
[2, 4, 11], [5, 8, 10], [1, 3, 10], [1, 4, 6], [3, 6, 8], [1, 8, 11],
|
| 3868 |
+
[5, 7, 11], [0, 4, 10], [3, 5, 9], [0, 2, 6], [1, 7, 9], [0, 7, 9], [5, 7, 10],
|
| 3869 |
+
[2, 8, 10], [3, 9, 11], [0, 2, 5], [2, 4, 8], [2, 4, 7], [0, 2, 7], [2, 7, 9],
|
| 3870 |
+
[4, 9, 11], [4, 6, 9], [1, 3, 7], [2, 4, 9], [0, 5, 7], [0, 3, 10], [2, 9, 11],
|
| 3871 |
+
[0, 5, 10], [0, 6, 8], [4, 6, 10], [4, 6, 11], [1, 4, 11], [6, 8, 11],
|
| 3872 |
+
[1, 5, 11], [1, 6, 11], [1, 8, 10], [1, 6, 8], [3, 5, 8], [3, 8, 10],
|
| 3873 |
+
[1, 3, 8], [3, 5, 10], [1, 3, 6], [2, 5, 7, 10], [0, 3, 7, 10], [1, 4, 8, 11],
|
| 3874 |
+
[2, 4, 7, 11], [0, 4, 7, 9], [0, 2, 5, 9], [2, 6, 9, 11], [1, 5, 8, 10],
|
| 3875 |
+
[0, 3, 5, 8], [3, 6, 8, 11], [1, 3, 6, 10], [1, 4, 6, 9], [1, 5, 9], [0, 4, 8],
|
| 3876 |
+
[2, 6, 10], [3, 7, 11], [0, 3, 6, 9], [2, 5, 8, 11], [1, 4, 7, 10],
|
| 3877 |
+
[2, 5, 7, 11], [0, 2, 6, 9], [0, 4, 7, 10], [2, 4, 8, 11], [0, 3, 5, 9],
|
| 3878 |
+
[1, 4, 7, 9], [3, 6, 9, 11], [2, 5, 8, 10], [1, 4, 6, 10], [0, 3, 6, 8],
|
| 3879 |
+
[1, 3, 7, 10], [1, 5, 8, 11], [2, 4, 10], [5, 9, 11], [1, 5, 7], [0, 2, 8],
|
| 3880 |
+
[0, 4, 6], [1, 7, 11], [3, 7, 9], [1, 3, 9], [7, 9, 11], [5, 7, 9], [0, 6, 10],
|
| 3881 |
+
[0, 2, 10], [2, 6, 8], [0, 2, 4], [4, 8, 10], [1, 9, 11], [2, 4, 6],
|
| 3882 |
+
[3, 5, 11], [3, 5, 7], [0, 8, 10], [4, 6, 8], [1, 3, 11], [6, 8, 10],
|
| 3883 |
+
[1, 3, 5], [0, 2, 5, 10], [0, 5, 7, 9], [0, 3, 8, 10], [0, 2, 4, 7],
|
| 3884 |
+
[4, 6, 8, 11], [3, 5, 7, 10], [2, 7, 9, 11], [2, 4, 6, 9], [1, 6, 8, 10],
|
| 3885 |
+
[1, 4, 9, 11], [1, 3, 5, 8], [1, 3, 6, 11], [2, 5, 9, 11], [2, 4, 7, 10],
|
| 3886 |
+
[0, 2, 5, 8], [1, 5, 7, 10], [0, 4, 6, 9], [1, 3, 6, 9], [0, 3, 6, 10],
|
| 3887 |
+
[2, 6, 8, 11], [0, 2, 7, 9], [1, 4, 8, 10], [0, 3, 7, 9], [3, 5, 8, 11],
|
| 3888 |
+
[0, 5, 7, 10], [0, 2, 5, 7], [1, 4, 7, 11], [2, 4, 7, 9], [0, 3, 5, 10],
|
| 3889 |
+
[4, 6, 9, 11], [1, 4, 6, 11], [2, 4, 9, 11], [1, 6, 8, 11], [1, 3, 6, 8],
|
| 3890 |
+
[1, 3, 8, 10], [3, 5, 8, 10], [4, 7, 9, 11], [0, 2, 7, 10], [2, 5, 7, 9],
|
| 3891 |
+
[0, 2, 4, 9], [1, 6, 9, 11], [2, 4, 6, 11], [0, 3, 5, 7], [0, 5, 8, 10],
|
| 3892 |
+
[1, 4, 6, 8], [1, 3, 5, 10], [1, 3, 8, 11], [3, 6, 8, 10], [0, 2, 5, 7, 10],
|
| 3893 |
+
[0, 2, 4, 7, 9], [0, 2, 5, 7, 9], [1, 3, 7, 9], [1, 4, 6, 9, 11],
|
| 3894 |
+
[1, 3, 6, 8, 11], [3, 5, 9, 11], [1, 3, 6, 8, 10], [1, 4, 6, 8, 11],
|
| 3895 |
+
[1, 3, 5, 8, 10], [2, 4, 6, 9, 11], [2, 4, 8, 10], [2, 4, 7, 9, 11],
|
| 3896 |
+
[0, 3, 5, 7, 10], [1, 5, 7, 11], [0, 2, 6, 8], [0, 3, 5, 8, 10], [0, 4, 6, 10],
|
| 3897 |
+
[1, 3, 5, 9], [1, 5, 7, 9], [2, 6, 8, 10], [3, 7, 9, 11], [0, 2, 4, 8],
|
| 3898 |
+
[0, 4, 6, 8], [0, 4, 8, 10], [2, 4, 6, 10], [1, 3, 7, 11], [0, 2, 6, 10],
|
| 3899 |
+
[1, 5, 9, 11], [3, 5, 7, 11], [1, 7, 9, 11], [0, 2, 4, 6], [1, 3, 9, 11],
|
| 3900 |
+
[0, 2, 4, 10], [5, 7, 9, 11], [2, 4, 6, 8], [0, 2, 8, 10], [3, 5, 7, 9],
|
| 3901 |
+
[1, 3, 5, 7], [4, 6, 8, 10], [0, 6, 8, 10], [1, 3, 5, 11], [0, 3, 6, 8, 10],
|
| 3902 |
+
[0, 2, 4, 6, 9], [1, 4, 7, 9, 11], [2, 4, 6, 8, 11], [1, 3, 6, 9, 11],
|
| 3903 |
+
[1, 3, 5, 8, 11], [0, 2, 5, 8, 10], [1, 4, 6, 8, 10], [0, 3, 5, 7, 9],
|
| 3904 |
+
[2, 5, 7, 9, 11], [1, 3, 5, 7, 10], [0, 2, 4, 7, 10], [1, 3, 5, 7, 9],
|
| 3905 |
+
[1, 3, 5, 9, 11], [1, 5, 7, 9, 11], [1, 3, 7, 9, 11], [3, 5, 7, 9, 11],
|
| 3906 |
+
[2, 4, 6, 8, 10], [0, 4, 6, 8, 10], [0, 2, 6, 8, 10], [1, 3, 5, 7, 11],
|
| 3907 |
+
[0, 2, 4, 8, 10], [0, 2, 4, 6, 8], [0, 2, 4, 6, 10], [0, 2, 4, 6, 8, 10],
|
| 3908 |
+
[1, 3, 5, 7, 9, 11]]
|
| 3909 |
+
|
| 3910 |
+
def find_exact_match_variable_length(list_of_lists, target_list, uncertain_indices):
|
| 3911 |
+
# Infer possible values for each uncertain index
|
| 3912 |
+
possible_values = {idx: set() for idx in uncertain_indices}
|
| 3913 |
+
for sublist in list_of_lists:
|
| 3914 |
+
for idx in uncertain_indices:
|
| 3915 |
+
if idx < len(sublist):
|
| 3916 |
+
possible_values[idx].add(sublist[idx])
|
| 3917 |
+
|
| 3918 |
+
# Generate all possible combinations for the uncertain elements
|
| 3919 |
+
uncertain_combinations = product(*(possible_values[idx] for idx in uncertain_indices))
|
| 3920 |
+
|
| 3921 |
+
for combination in uncertain_combinations:
|
| 3922 |
+
# Create a copy of the target list and update the uncertain elements
|
| 3923 |
+
test_list = target_list[:]
|
| 3924 |
+
for idx, value in zip(uncertain_indices, combination):
|
| 3925 |
+
test_list[idx] = value
|
| 3926 |
+
|
| 3927 |
+
# Check if the modified target list is an exact match in the list of lists
|
| 3928 |
+
# Only consider sublists that are at least as long as the target list
|
| 3929 |
+
for sublist in list_of_lists:
|
| 3930 |
+
if len(sublist) >= len(test_list) and sublist[:len(test_list)] == test_list:
|
| 3931 |
+
return sublist # Return the matching sublist
|
| 3932 |
+
|
| 3933 |
+
return None # No exact match found
|
| 3934 |
+
|
| 3935 |
+
|
| 3936 |
+
def advanced_validate_chord_pitches(chord, channel_to_check = 0, return_sorted = True):
|
| 3937 |
+
|
| 3938 |
+
pitches_chord = sorted(list(set([x[4] for x in chord if 0 < x[4] < 128 and x[3] == channel_to_check])))
|
| 3939 |
+
|
| 3940 |
+
if pitches_chord:
|
| 3941 |
+
|
| 3942 |
+
tones_chord = sorted(list(set([c % 12 for c in sorted(list(set(pitches_chord)))])))
|
| 3943 |
+
|
| 3944 |
+
if not bad_chord(tones_chord):
|
| 3945 |
+
if return_sorted:
|
| 3946 |
+
chord.sort(key = lambda x: x[4], reverse=True)
|
| 3947 |
+
return chord
|
| 3948 |
+
|
| 3949 |
+
else:
|
| 3950 |
+
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]))
|
| 3951 |
+
|
| 3952 |
+
good_tones_chord = find_exact_match_variable_length(ALL_CHORDS, tones_chord, bad_chord_indices)
|
| 3953 |
+
|
| 3954 |
+
if good_tones_chord is not None:
|
| 3955 |
+
|
| 3956 |
+
fixed_chord = []
|
| 3957 |
+
|
| 3958 |
+
for c in chord:
|
| 3959 |
+
if c[3] == channel_to_check:
|
| 3960 |
+
if (c[4] % 12) in good_tones_chord:
|
| 3961 |
+
fixed_chord.append(c)
|
| 3962 |
+
else:
|
| 3963 |
+
fixed_chord.append(c)
|
| 3964 |
+
|
| 3965 |
+
if return_sorted:
|
| 3966 |
+
fixed_chord.sort(key = lambda x: x[4], reverse=True)
|
| 3967 |
+
|
| 3968 |
+
else:
|
| 3969 |
+
|
| 3970 |
+
if 0 in tones_chord and 11 in tones_chord:
|
| 3971 |
+
tones_chord.remove(0)
|
| 3972 |
+
|
| 3973 |
+
fixed_tones = [[a, b] for a, b in zip(tones_chord, tones_chord[1:]) if b-a != 1]
|
| 3974 |
+
|
| 3975 |
+
fixed_tones_chord = []
|
| 3976 |
+
for f in fixed_tones:
|
| 3977 |
+
fixed_tones_chord.extend(f)
|
| 3978 |
+
fixed_tones_chord = list(set(fixed_tones_chord))
|
| 3979 |
+
|
| 3980 |
+
fixed_chord = []
|
| 3981 |
+
|
| 3982 |
+
for c in chord:
|
| 3983 |
+
if c[3] == channel_to_check:
|
| 3984 |
+
if (c[4] % 12) in fixed_tones_chord:
|
| 3985 |
+
fixed_chord.append(c)
|
| 3986 |
+
else:
|
| 3987 |
+
fixed_chord.append(c)
|
| 3988 |
+
|
| 3989 |
+
if return_sorted:
|
| 3990 |
+
fixed_chord.sort(key = lambda x: x[4], reverse=True)
|
| 3991 |
+
|
| 3992 |
+
return fixed_chord
|
| 3993 |
+
|
| 3994 |
+
else:
|
| 3995 |
+
chord.sort(key = lambda x: x[4], reverse=True)
|
| 3996 |
+
return chord
|
| 3997 |
+
|
| 3998 |
+
###################################################################################
|
| 3999 |
+
|
| 4000 |
+
def analyze_score_pitches(score, channels_to_analyze=[0]):
|
| 4001 |
+
|
| 4002 |
+
analysis = {}
|
| 4003 |
+
|
| 4004 |
+
score_notes = [s for s in score if s[3] in channels_to_analyze]
|
| 4005 |
+
|
| 4006 |
+
cscore = chordify_score(score_notes)
|
| 4007 |
+
|
| 4008 |
+
chords_tones = []
|
| 4009 |
+
|
| 4010 |
+
all_tones = []
|
| 4011 |
+
|
| 4012 |
+
all_chords_good = True
|
| 4013 |
+
|
| 4014 |
+
bad_chords = []
|
| 4015 |
+
|
| 4016 |
+
for c in cscore:
|
| 4017 |
+
tones = sorted(list(set([t[4] % 12 for t in c])))
|
| 4018 |
+
chords_tones.append(tones)
|
| 4019 |
+
all_tones.extend(tones)
|
| 4020 |
+
|
| 4021 |
+
if tones not in ALL_CHORDS:
|
| 4022 |
+
all_chords_good = False
|
| 4023 |
+
bad_chords.append(tones)
|
| 4024 |
+
|
| 4025 |
+
analysis['Number of notes'] = len(score_notes)
|
| 4026 |
+
analysis['Number of chords'] = len(cscore)
|
| 4027 |
+
analysis['Score tones'] = sorted(list(set(all_tones)))
|
| 4028 |
+
analysis['Shortest chord'] = sorted(min(chords_tones, key=len))
|
| 4029 |
+
analysis['Longest chord'] = sorted(max(chords_tones, key=len))
|
| 4030 |
+
analysis['All chords good'] = all_chords_good
|
| 4031 |
+
analysis['Bad chords'] = bad_chords
|
| 4032 |
+
|
| 4033 |
+
return analysis
|
| 4034 |
+
|
| 4035 |
+
###################################################################################
|
| 4036 |
+
|
| 4037 |
+
ALL_CHORDS_GROUPED = [[[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]],
|
| 4038 |
+
[[0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [0, 8], [0, 9], [0, 10],
|
| 4039 |
+
[1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [1, 8], [1, 9], [1, 10], [1, 11],
|
| 4040 |
+
[2, 4], [2, 5], [2, 6], [2, 7], [2, 8], [2, 9], [2, 10], [2, 11], [3, 5],
|
| 4041 |
+
[3, 6], [3, 7], [3, 8], [3, 9], [3, 10], [3, 11], [4, 6], [4, 7], [4, 8],
|
| 4042 |
+
[4, 9], [4, 10], [4, 11], [5, 7], [5, 8], [5, 9], [5, 10], [5, 11], [6, 8],
|
| 4043 |
+
[6, 9], [6, 10], [6, 11], [7, 9], [7, 10], [7, 11], [8, 10], [8, 11],
|
| 4044 |
+
[9, 11]],
|
| 4045 |
+
[[0, 2, 4], [0, 2, 5], [0, 3, 5], [0, 2, 6], [0, 3, 6], [0, 4, 6], [0, 2, 7],
|
| 4046 |
+
[0, 3, 7], [0, 4, 7], [0, 5, 7], [0, 2, 8], [0, 3, 8], [0, 4, 8], [0, 5, 8],
|
| 4047 |
+
[0, 6, 8], [0, 2, 9], [0, 3, 9], [0, 4, 9], [0, 5, 9], [0, 6, 9], [0, 7, 9],
|
| 4048 |
+
[0, 2, 10], [0, 3, 10], [0, 4, 10], [0, 5, 10], [0, 6, 10], [0, 7, 10],
|
| 4049 |
+
[0, 8, 10], [1, 3, 5], [1, 3, 6], [1, 4, 6], [1, 3, 7], [1, 4, 7], [1, 5, 7],
|
| 4050 |
+
[1, 3, 8], [1, 4, 8], [1, 5, 8], [1, 6, 8], [1, 3, 9], [1, 4, 9], [1, 5, 9],
|
| 4051 |
+
[1, 6, 9], [1, 7, 9], [1, 3, 10], [1, 4, 10], [1, 5, 10], [1, 6, 10],
|
| 4052 |
+
[1, 7, 10], [1, 8, 10], [1, 3, 11], [1, 4, 11], [1, 5, 11], [1, 6, 11],
|
| 4053 |
+
[1, 7, 11], [1, 8, 11], [1, 9, 11], [2, 4, 6], [2, 4, 7], [2, 5, 7],
|
| 4054 |
+
[2, 4, 8], [2, 5, 8], [2, 6, 8], [2, 4, 9], [2, 5, 9], [2, 6, 9], [2, 7, 9],
|
| 4055 |
+
[2, 4, 10], [2, 5, 10], [2, 6, 10], [2, 7, 10], [2, 8, 10], [2, 4, 11],
|
| 4056 |
+
[2, 5, 11], [2, 6, 11], [2, 7, 11], [2, 8, 11], [2, 9, 11], [3, 5, 7],
|
| 4057 |
+
[3, 5, 8], [3, 6, 8], [3, 5, 9], [3, 6, 9], [3, 7, 9], [3, 5, 10], [3, 6, 10],
|
| 4058 |
+
[3, 7, 10], [3, 8, 10], [3, 5, 11], [3, 6, 11], [3, 7, 11], [3, 8, 11],
|
| 4059 |
+
[3, 9, 11], [4, 6, 8], [4, 6, 9], [4, 7, 9], [4, 6, 10], [4, 7, 10],
|
| 4060 |
+
[4, 8, 10], [4, 6, 11], [4, 7, 11], [4, 8, 11], [4, 9, 11], [5, 7, 9],
|
| 4061 |
+
[5, 7, 10], [5, 8, 10], [5, 7, 11], [5, 8, 11], [5, 9, 11], [6, 8, 10],
|
| 4062 |
+
[6, 8, 11], [6, 9, 11], [7, 9, 11]],
|
| 4063 |
+
[[0, 2, 4, 6], [0, 2, 4, 7], [0, 2, 5, 7], [0, 3, 5, 7], [0, 2, 4, 8],
|
| 4064 |
+
[0, 2, 5, 8], [0, 2, 6, 8], [0, 3, 5, 8], [0, 3, 6, 8], [0, 4, 6, 8],
|
| 4065 |
+
[0, 2, 4, 9], [0, 2, 5, 9], [0, 2, 6, 9], [0, 2, 7, 9], [0, 3, 5, 9],
|
| 4066 |
+
[0, 3, 6, 9], [0, 3, 7, 9], [0, 4, 6, 9], [0, 4, 7, 9], [0, 5, 7, 9],
|
| 4067 |
+
[0, 2, 4, 10], [0, 2, 5, 10], [0, 2, 6, 10], [0, 2, 7, 10], [0, 2, 8, 10],
|
| 4068 |
+
[0, 3, 5, 10], [0, 3, 6, 10], [0, 3, 7, 10], [0, 3, 8, 10], [0, 4, 6, 10],
|
| 4069 |
+
[0, 4, 7, 10], [0, 4, 8, 10], [0, 5, 7, 10], [0, 5, 8, 10], [0, 6, 8, 10],
|
| 4070 |
+
[1, 3, 5, 7], [1, 3, 5, 8], [1, 3, 6, 8], [1, 4, 6, 8], [1, 3, 5, 9],
|
| 4071 |
+
[1, 3, 6, 9], [1, 3, 7, 9], [1, 4, 6, 9], [1, 4, 7, 9], [1, 5, 7, 9],
|
| 4072 |
+
[1, 3, 5, 10], [1, 3, 6, 10], [1, 3, 7, 10], [1, 3, 8, 10], [1, 4, 6, 10],
|
| 4073 |
+
[1, 4, 7, 10], [1, 4, 8, 10], [1, 5, 7, 10], [1, 5, 8, 10], [1, 6, 8, 10],
|
| 4074 |
+
[1, 3, 5, 11], [1, 3, 6, 11], [1, 3, 7, 11], [1, 3, 8, 11], [1, 3, 9, 11],
|
| 4075 |
+
[1, 4, 6, 11], [1, 4, 7, 11], [1, 4, 8, 11], [1, 4, 9, 11], [1, 5, 7, 11],
|
| 4076 |
+
[1, 5, 8, 11], [1, 5, 9, 11], [1, 6, 8, 11], [1, 6, 9, 11], [1, 7, 9, 11],
|
| 4077 |
+
[2, 4, 6, 8], [2, 4, 6, 9], [2, 4, 7, 9], [2, 5, 7, 9], [2, 4, 6, 10],
|
| 4078 |
+
[2, 4, 7, 10], [2, 4, 8, 10], [2, 5, 7, 10], [2, 5, 8, 10], [2, 6, 8, 10],
|
| 4079 |
+
[2, 4, 6, 11], [2, 4, 7, 11], [2, 4, 8, 11], [2, 4, 9, 11], [2, 5, 7, 11],
|
| 4080 |
+
[2, 5, 8, 11], [2, 5, 9, 11], [2, 6, 8, 11], [2, 6, 9, 11], [2, 7, 9, 11],
|
| 4081 |
+
[3, 5, 7, 9], [3, 5, 7, 10], [3, 5, 8, 10], [3, 6, 8, 10], [3, 5, 7, 11],
|
| 4082 |
+
[3, 5, 8, 11], [3, 5, 9, 11], [3, 6, 8, 11], [3, 6, 9, 11], [3, 7, 9, 11],
|
| 4083 |
+
[4, 6, 8, 10], [4, 6, 8, 11], [4, 6, 9, 11], [4, 7, 9, 11], [5, 7, 9, 11]],
|
| 4084 |
+
[[0, 2, 4, 6, 8], [0, 2, 4, 6, 9], [0, 2, 4, 7, 9], [0, 2, 5, 7, 9],
|
| 4085 |
+
[0, 3, 5, 7, 9], [0, 2, 4, 6, 10], [0, 2, 4, 7, 10], [0, 2, 4, 8, 10],
|
| 4086 |
+
[0, 2, 5, 7, 10], [0, 2, 5, 8, 10], [0, 2, 6, 8, 10], [0, 3, 5, 7, 10],
|
| 4087 |
+
[0, 3, 5, 8, 10], [0, 3, 6, 8, 10], [0, 4, 6, 8, 10], [1, 3, 5, 7, 9],
|
| 4088 |
+
[1, 3, 5, 7, 10], [1, 3, 5, 8, 10], [1, 3, 6, 8, 10], [1, 4, 6, 8, 10],
|
| 4089 |
+
[1, 3, 5, 7, 11], [1, 3, 5, 8, 11], [1, 3, 5, 9, 11], [1, 3, 6, 8, 11],
|
| 4090 |
+
[1, 3, 6, 9, 11], [1, 3, 7, 9, 11], [1, 4, 6, 8, 11], [1, 4, 6, 9, 11],
|
| 4091 |
+
[1, 4, 7, 9, 11], [1, 5, 7, 9, 11], [2, 4, 6, 8, 10], [2, 4, 6, 8, 11],
|
| 4092 |
+
[2, 4, 6, 9, 11], [2, 4, 7, 9, 11], [2, 5, 7, 9, 11], [3, 5, 7, 9, 11]],
|
| 4093 |
+
[[0, 2, 4, 6, 8, 10], [1, 3, 5, 7, 9, 11]]]
|
| 4094 |
+
|
| 4095 |
+
def group_sublists_by_length(lst):
|
| 4096 |
+
unique_lengths = sorted(list(set(map(len, lst))), reverse=True)
|
| 4097 |
+
return [[x for x in lst if len(x) == i] for i in unique_lengths]
|
| 4098 |
+
|
| 4099 |
+
def pitches_to_tones_chord(pitches):
|
| 4100 |
+
return sorted(set([p % 12 for p in pitches]))
|
| 4101 |
+
|
| 4102 |
+
def tones_chord_to_pitches(tones_chord, base_pitch=60):
|
| 4103 |
+
return [t+base_pitch for t in tones_chord if 0 <= t < 12]
|
| 4104 |
+
|
| 4105 |
+
###################################################################################
|
| 4106 |
+
|
| 4107 |
+
def advanced_score_processor(raw_score,
|
| 4108 |
+
patches_to_analyze=list(range(129)),
|
| 4109 |
+
return_score_analysis=False,
|
| 4110 |
+
return_enhanced_score=False,
|
| 4111 |
+
return_enhanced_score_notes=False,
|
| 4112 |
+
return_enhanced_monophonic_melody=False,
|
| 4113 |
+
return_chordified_enhanced_score=False,
|
| 4114 |
+
return_chordified_enhanced_score_with_lyrics=False,
|
| 4115 |
+
return_score_tones_chords=False,
|
| 4116 |
+
return_text_and_lyric_events=False
|
| 4117 |
+
):
|
| 4118 |
+
|
| 4119 |
+
'''TMIDIX Advanced Score Processor'''
|
| 4120 |
+
|
| 4121 |
+
# Score data types detection
|
| 4122 |
+
|
| 4123 |
+
if raw_score and type(raw_score) == list:
|
| 4124 |
+
|
| 4125 |
+
num_ticks = 0
|
| 4126 |
+
num_tracks = 1
|
| 4127 |
+
|
| 4128 |
+
basic_single_track_score = []
|
| 4129 |
+
|
| 4130 |
+
if type(raw_score[0]) != int:
|
| 4131 |
+
if len(raw_score[0]) < 5 and type(raw_score[0][0]) != str:
|
| 4132 |
+
return ['Check score for errors and compatibility!']
|
| 4133 |
+
|
| 4134 |
+
else:
|
| 4135 |
+
basic_single_track_score = copy.deepcopy(raw_score)
|
| 4136 |
+
|
| 4137 |
+
else:
|
| 4138 |
+
num_ticks = raw_score[0]
|
| 4139 |
+
while num_tracks < len(raw_score):
|
| 4140 |
+
for event in raw_score[num_tracks]:
|
| 4141 |
+
ev = copy.deepcopy(event)
|
| 4142 |
+
basic_single_track_score.append(ev)
|
| 4143 |
+
num_tracks += 1
|
| 4144 |
+
|
| 4145 |
+
basic_single_track_score.sort(key=lambda x: x[4] if x[0] == 'note' else 128, reverse=True)
|
| 4146 |
+
basic_single_track_score.sort(key=lambda x: x[1])
|
| 4147 |
+
|
| 4148 |
+
enhanced_single_track_score = []
|
| 4149 |
+
patches = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
|
| 4150 |
+
all_score_patches = []
|
| 4151 |
+
num_patch_changes = 0
|
| 4152 |
+
|
| 4153 |
+
for event in basic_single_track_score:
|
| 4154 |
+
if event[0] == 'patch_change':
|
| 4155 |
+
patches[event[2]] = event[3]
|
| 4156 |
+
enhanced_single_track_score.append(event)
|
| 4157 |
+
num_patch_changes += 1
|
| 4158 |
+
|
| 4159 |
+
if event[0] == 'note':
|
| 4160 |
+
if event[3] != 9:
|
| 4161 |
+
event.extend([patches[event[3]]])
|
| 4162 |
+
all_score_patches.extend([patches[event[3]]])
|
| 4163 |
+
else:
|
| 4164 |
+
event.extend([128])
|
| 4165 |
+
all_score_patches.extend([128])
|
| 4166 |
+
|
| 4167 |
+
if enhanced_single_track_score:
|
| 4168 |
+
if (event[1] == enhanced_single_track_score[-1][1]):
|
| 4169 |
+
if ([event[3], event[4]] != enhanced_single_track_score[-1][3:5]):
|
| 4170 |
+
enhanced_single_track_score.append(event)
|
| 4171 |
+
else:
|
| 4172 |
+
enhanced_single_track_score.append(event)
|
| 4173 |
+
|
| 4174 |
+
else:
|
| 4175 |
+
enhanced_single_track_score.append(event)
|
| 4176 |
+
|
| 4177 |
+
if event[0] not in ['note', 'patch_change']:
|
| 4178 |
+
enhanced_single_track_score.append(event)
|
| 4179 |
+
|
| 4180 |
+
enhanced_single_track_score.sort(key=lambda x: x[6] if x[0] == 'note' else -1)
|
| 4181 |
+
enhanced_single_track_score.sort(key=lambda x: x[4] if x[0] == 'note' else 128, reverse=True)
|
| 4182 |
+
enhanced_single_track_score.sort(key=lambda x: x[1])
|
| 4183 |
+
|
| 4184 |
+
# Analysis and chordification
|
| 4185 |
+
|
| 4186 |
+
cscore = []
|
| 4187 |
+
cescore = []
|
| 4188 |
+
chords_tones = []
|
| 4189 |
+
tones_chords = []
|
| 4190 |
+
all_tones = []
|
| 4191 |
+
all_chords_good = True
|
| 4192 |
+
bad_chords = []
|
| 4193 |
+
bad_chords_count = 0
|
| 4194 |
+
score_notes = []
|
| 4195 |
+
score_pitches = []
|
| 4196 |
+
score_patches = []
|
| 4197 |
+
num_text_events = 0
|
| 4198 |
+
num_lyric_events = 0
|
| 4199 |
+
num_other_events = 0
|
| 4200 |
+
text_and_lyric_events = []
|
| 4201 |
+
text_and_lyric_events_latin = None
|
| 4202 |
+
|
| 4203 |
+
analysis = {}
|
| 4204 |
+
|
| 4205 |
+
score_notes = [s for s in enhanced_single_track_score if s[0] == 'note' and s[6] in patches_to_analyze]
|
| 4206 |
+
score_patches = [sn[6] for sn in score_notes]
|
| 4207 |
+
|
| 4208 |
+
if return_text_and_lyric_events:
|
| 4209 |
+
text_and_lyric_events = [e for e in enhanced_single_track_score if e[0] in ['text_event', 'lyric']]
|
| 4210 |
+
|
| 4211 |
+
if text_and_lyric_events:
|
| 4212 |
+
text_and_lyric_events_latin = True
|
| 4213 |
+
for e in text_and_lyric_events:
|
| 4214 |
+
try:
|
| 4215 |
+
tle = str(e[2].decode())
|
| 4216 |
+
except:
|
| 4217 |
+
tle = str(e[2])
|
| 4218 |
+
|
| 4219 |
+
for c in tle:
|
| 4220 |
+
if not 0 <= ord(c) < 128:
|
| 4221 |
+
text_and_lyric_events_latin = False
|
| 4222 |
+
|
| 4223 |
+
if (return_chordified_enhanced_score or return_score_analysis) and any(elem in patches_to_analyze for elem in score_patches):
|
| 4224 |
+
|
| 4225 |
+
cescore = chordify_score([num_ticks, enhanced_single_track_score])
|
| 4226 |
+
|
| 4227 |
+
if return_score_analysis:
|
| 4228 |
+
|
| 4229 |
+
cscore = chordify_score(score_notes)
|
| 4230 |
+
|
| 4231 |
+
score_pitches = [sn[4] for sn in score_notes]
|
| 4232 |
+
|
| 4233 |
+
text_events = [e for e in enhanced_single_track_score if e[0] == 'text_event']
|
| 4234 |
+
num_text_events = len(text_events)
|
| 4235 |
+
|
| 4236 |
+
lyric_events = [e for e in enhanced_single_track_score if e[0] == 'lyric']
|
| 4237 |
+
num_lyric_events = len(lyric_events)
|
| 4238 |
+
|
| 4239 |
+
other_events = [e for e in enhanced_single_track_score if e[0] not in ['note', 'patch_change', 'text_event', 'lyric']]
|
| 4240 |
+
num_other_events = len(other_events)
|
| 4241 |
+
|
| 4242 |
+
for c in cscore:
|
| 4243 |
+
tones = sorted(set([t[4] % 12 for t in c if t[3] != 9]))
|
| 4244 |
+
|
| 4245 |
+
if tones:
|
| 4246 |
+
chords_tones.append(tones)
|
| 4247 |
+
all_tones.extend(tones)
|
| 4248 |
+
|
| 4249 |
+
if tones not in ALL_CHORDS:
|
| 4250 |
+
all_chords_good = False
|
| 4251 |
+
bad_chords.append(tones)
|
| 4252 |
+
bad_chords_count += 1
|
| 4253 |
+
|
| 4254 |
+
analysis['Number of ticks per quarter note'] = num_ticks
|
| 4255 |
+
analysis['Number of tracks'] = num_tracks
|
| 4256 |
+
analysis['Number of all events'] = len(enhanced_single_track_score)
|
| 4257 |
+
analysis['Number of patch change events'] = num_patch_changes
|
| 4258 |
+
analysis['Number of text events'] = num_text_events
|
| 4259 |
+
analysis['Number of lyric events'] = num_lyric_events
|
| 4260 |
+
analysis['All text and lyric events Latin'] = text_and_lyric_events_latin
|
| 4261 |
+
analysis['Number of other events'] = num_other_events
|
| 4262 |
+
analysis['Number of score notes'] = len(score_notes)
|
| 4263 |
+
analysis['Number of score chords'] = len(cscore)
|
| 4264 |
+
analysis['Score patches'] = sorted(set(score_patches))
|
| 4265 |
+
analysis['Score pitches'] = sorted(set(score_pitches))
|
| 4266 |
+
analysis['Score tones'] = sorted(set(all_tones))
|
| 4267 |
+
if chords_tones:
|
| 4268 |
+
analysis['Shortest chord'] = sorted(min(chords_tones, key=len))
|
| 4269 |
+
analysis['Longest chord'] = sorted(max(chords_tones, key=len))
|
| 4270 |
+
analysis['All chords good'] = all_chords_good
|
| 4271 |
+
analysis['Number of bad chords'] = bad_chords_count
|
| 4272 |
+
analysis['Bad chords'] = sorted([list(c) for c in set(tuple(bc) for bc in bad_chords)])
|
| 4273 |
+
|
| 4274 |
+
else:
|
| 4275 |
+
analysis['Error'] = 'Provided score does not have specified patches to analyse'
|
| 4276 |
+
analysis['Provided patches to analyse'] = sorted(patches_to_analyze)
|
| 4277 |
+
analysis['Patches present in the score'] = sorted(set(all_score_patches))
|
| 4278 |
+
|
| 4279 |
+
if return_enhanced_monophonic_melody:
|
| 4280 |
+
|
| 4281 |
+
score_notes_copy = copy.deepcopy(score_notes)
|
| 4282 |
+
chordified_score_notes = chordify_score(score_notes_copy)
|
| 4283 |
+
|
| 4284 |
+
melody = [c[0] for c in chordified_score_notes]
|
| 4285 |
+
|
| 4286 |
+
fixed_melody = []
|
| 4287 |
+
|
| 4288 |
+
for i in range(len(melody)-1):
|
| 4289 |
+
note = melody[i]
|
| 4290 |
+
nmt = melody[i+1][1]
|
| 4291 |
+
|
| 4292 |
+
if note[1]+note[2] >= nmt:
|
| 4293 |
+
note_dur = nmt-note[1]-1
|
| 4294 |
+
else:
|
| 4295 |
+
note_dur = note[2]
|
| 4296 |
+
|
| 4297 |
+
melody[i][2] = note_dur
|
| 4298 |
+
|
| 4299 |
+
fixed_melody.append(melody[i])
|
| 4300 |
+
fixed_melody.append(melody[-1])
|
| 4301 |
+
|
| 4302 |
+
if return_score_tones_chords:
|
| 4303 |
+
cscore = chordify_score(score_notes)
|
| 4304 |
+
for c in cscore:
|
| 4305 |
+
tones_chord = sorted(set([t[4] % 12 for t in c if t[3] != 9]))
|
| 4306 |
+
if tones_chord:
|
| 4307 |
+
tones_chords.append(tones_chord)
|
| 4308 |
+
|
| 4309 |
+
if return_chordified_enhanced_score_with_lyrics:
|
| 4310 |
+
score_with_lyrics = [e for e in enhanced_single_track_score if e[0] in ['note', 'text_event', 'lyric']]
|
| 4311 |
+
chordified_enhanced_score_with_lyrics = chordify_score(score_with_lyrics)
|
| 4312 |
+
|
| 4313 |
+
# Returned data
|
| 4314 |
+
|
| 4315 |
+
requested_data = []
|
| 4316 |
+
|
| 4317 |
+
if return_score_analysis and analysis:
|
| 4318 |
+
requested_data.append([[k, v] for k, v in analysis.items()])
|
| 4319 |
+
|
| 4320 |
+
if return_enhanced_score and enhanced_single_track_score:
|
| 4321 |
+
requested_data.append([num_ticks, enhanced_single_track_score])
|
| 4322 |
+
|
| 4323 |
+
if return_enhanced_score_notes and score_notes:
|
| 4324 |
+
requested_data.append(score_notes)
|
| 4325 |
+
|
| 4326 |
+
if return_enhanced_monophonic_melody and fixed_melody:
|
| 4327 |
+
requested_data.append(fixed_melody)
|
| 4328 |
+
|
| 4329 |
+
if return_chordified_enhanced_score and cescore:
|
| 4330 |
+
requested_data.append(cescore)
|
| 4331 |
+
|
| 4332 |
+
if return_chordified_enhanced_score_with_lyrics and chordified_enhanced_score_with_lyrics:
|
| 4333 |
+
requested_data.append(chordified_enhanced_score_with_lyrics)
|
| 4334 |
+
|
| 4335 |
+
if return_score_tones_chords and tones_chords:
|
| 4336 |
+
requested_data.append(tones_chords)
|
| 4337 |
+
|
| 4338 |
+
if return_text_and_lyric_events and text_and_lyric_events:
|
| 4339 |
+
requested_data.append(text_and_lyric_events)
|
| 4340 |
+
|
| 4341 |
+
return requested_data
|
| 4342 |
+
|
| 4343 |
+
else:
|
| 4344 |
+
return ['Check score for errors and compatibility!']
|
| 4345 |
+
|
| 4346 |
+
###################################################################################
|
| 4347 |
+
|
| 4348 |
+
import random
|
| 4349 |
+
import copy
|
| 4350 |
+
|
| 4351 |
+
###################################################################################
|
| 4352 |
+
|
| 4353 |
+
def replace_bad_tones_chord(bad_tones_chord):
|
| 4354 |
+
bad_chord_p = [0] * 12
|
| 4355 |
+
for b in bad_tones_chord:
|
| 4356 |
+
bad_chord_p[b] = 1
|
| 4357 |
+
|
| 4358 |
+
match_ratios = []
|
| 4359 |
+
good_chords = []
|
| 4360 |
+
for c in ALL_CHORDS:
|
| 4361 |
+
good_chord_p = [0] * 12
|
| 4362 |
+
for cc in c:
|
| 4363 |
+
good_chord_p[cc] = 1
|
| 4364 |
+
|
| 4365 |
+
good_chords.append(good_chord_p)
|
| 4366 |
+
match_ratios.append(sum(i == j for i, j in zip(good_chord_p, bad_chord_p)) / len(good_chord_p))
|
| 4367 |
+
|
| 4368 |
+
best_good_chord = good_chords[match_ratios.index(max(match_ratios))]
|
| 4369 |
+
|
| 4370 |
+
replaced_chord = []
|
| 4371 |
+
for i in range(len(best_good_chord)):
|
| 4372 |
+
if best_good_chord[i] == 1:
|
| 4373 |
+
replaced_chord.append(i)
|
| 4374 |
+
|
| 4375 |
+
return [replaced_chord, max(match_ratios)]
|
| 4376 |
+
|
| 4377 |
+
###################################################################################
|
| 4378 |
+
|
| 4379 |
+
def check_and_fix_chord(chord,
|
| 4380 |
+
channel_index=3,
|
| 4381 |
+
pitch_index=4
|
| 4382 |
+
):
|
| 4383 |
+
|
| 4384 |
+
tones_chord = sorted(set([t[pitch_index] % 12 for t in chord if t[channel_index] != 9]))
|
| 4385 |
+
|
| 4386 |
+
notes_events = [t for t in chord if t[channel_index] != 9]
|
| 4387 |
+
notes_events.sort(key=lambda x: x[pitch_index], reverse=True)
|
| 4388 |
+
|
| 4389 |
+
drums_events = [t for t in chord if t[channel_index] == 9]
|
| 4390 |
+
|
| 4391 |
+
checked_and_fixed_chord = []
|
| 4392 |
+
|
| 4393 |
+
if tones_chord:
|
| 4394 |
+
|
| 4395 |
+
new_tones_chord = advanced_check_and_fix_tones_chord(tones_chord, high_pitch=notes_events[0][pitch_index])
|
| 4396 |
+
|
| 4397 |
+
if new_tones_chord != tones_chord:
|
| 4398 |
+
|
| 4399 |
+
if len(notes_events) > 1:
|
| 4400 |
+
checked_and_fixed_chord.extend([notes_events[0]])
|
| 4401 |
+
for cc in notes_events[1:]:
|
| 4402 |
+
if cc[channel_index] != 9:
|
| 4403 |
+
if (cc[pitch_index] % 12) in new_tones_chord:
|
| 4404 |
+
checked_and_fixed_chord.extend([cc])
|
| 4405 |
+
checked_and_fixed_chord.extend(drums_events)
|
| 4406 |
+
else:
|
| 4407 |
+
checked_and_fixed_chord.extend([notes_events[0]])
|
| 4408 |
+
else:
|
| 4409 |
+
checked_and_fixed_chord.extend(chord)
|
| 4410 |
+
else:
|
| 4411 |
+
checked_and_fixed_chord.extend(chord)
|
| 4412 |
+
|
| 4413 |
+
checked_and_fixed_chord.sort(key=lambda x: x[pitch_index], reverse=True)
|
| 4414 |
+
|
| 4415 |
+
return checked_and_fixed_chord
|
| 4416 |
+
|
| 4417 |
+
###################################################################################
|
| 4418 |
+
|
| 4419 |
+
def find_similar_tones_chord(tones_chord,
|
| 4420 |
+
max_match_threshold=1,
|
| 4421 |
+
randomize_chords_matches=False,
|
| 4422 |
+
custom_chords_list=[]):
|
| 4423 |
+
chord_p = [0] * 12
|
| 4424 |
+
for b in tones_chord:
|
| 4425 |
+
chord_p[b] = 1
|
| 4426 |
+
|
| 4427 |
+
match_ratios = []
|
| 4428 |
+
good_chords = []
|
| 4429 |
+
|
| 4430 |
+
if custom_chords_list:
|
| 4431 |
+
CHORDS = copy.deepcopy([list(x) for x in set(tuple(t) for t in custom_chords_list)])
|
| 4432 |
+
else:
|
| 4433 |
+
CHORDS = copy.deepcopy(ALL_CHORDS)
|
| 4434 |
+
|
| 4435 |
+
if randomize_chords_matches:
|
| 4436 |
+
random.shuffle(CHORDS)
|
| 4437 |
+
|
| 4438 |
+
for c in CHORDS:
|
| 4439 |
+
good_chord_p = [0] * 12
|
| 4440 |
+
for cc in c:
|
| 4441 |
+
good_chord_p[cc] = 1
|
| 4442 |
+
|
| 4443 |
+
good_chords.append(good_chord_p)
|
| 4444 |
+
match_ratio = sum(i == j for i, j in zip(good_chord_p, chord_p)) / len(good_chord_p)
|
| 4445 |
+
if match_ratio < max_match_threshold:
|
| 4446 |
+
match_ratios.append(match_ratio)
|
| 4447 |
+
else:
|
| 4448 |
+
match_ratios.append(0)
|
| 4449 |
+
|
| 4450 |
+
best_good_chord = good_chords[match_ratios.index(max(match_ratios))]
|
| 4451 |
+
|
| 4452 |
+
similar_chord = []
|
| 4453 |
+
for i in range(len(best_good_chord)):
|
| 4454 |
+
if best_good_chord[i] == 1:
|
| 4455 |
+
similar_chord.append(i)
|
| 4456 |
+
|
| 4457 |
+
return [similar_chord, max(match_ratios)]
|
| 4458 |
+
|
| 4459 |
+
###################################################################################
|
| 4460 |
+
|
| 4461 |
+
def generate_tones_chords_progression(number_of_chords_to_generate=100,
|
| 4462 |
+
start_tones_chord=[],
|
| 4463 |
+
custom_chords_list=[]):
|
| 4464 |
+
|
| 4465 |
+
if start_tones_chord:
|
| 4466 |
+
start_chord = start_tones_chord
|
| 4467 |
+
else:
|
| 4468 |
+
start_chord = random.choice(ALL_CHORDS)
|
| 4469 |
+
|
| 4470 |
+
chord = []
|
| 4471 |
+
|
| 4472 |
+
chords_progression = [start_chord]
|
| 4473 |
+
|
| 4474 |
+
for i in range(number_of_chords_to_generate):
|
| 4475 |
+
if not chord:
|
| 4476 |
+
chord = start_chord
|
| 4477 |
+
|
| 4478 |
+
if custom_chords_list:
|
| 4479 |
+
chord = find_similar_tones_chord(chord, randomize_chords_matches=True, custom_chords_list=custom_chords_list)[0]
|
| 4480 |
+
else:
|
| 4481 |
+
chord = find_similar_tones_chord(chord, randomize_chords_matches=True)[0]
|
| 4482 |
+
|
| 4483 |
+
chords_progression.append(chord)
|
| 4484 |
+
|
| 4485 |
+
return chords_progression
|
| 4486 |
+
|
| 4487 |
+
###################################################################################
|
| 4488 |
+
|
| 4489 |
+
def ascii_texts_search(texts = ['text1', 'text2', 'text3'],
|
| 4490 |
+
search_query = 'Once upon a time...',
|
| 4491 |
+
deterministic_matching = False
|
| 4492 |
+
):
|
| 4493 |
+
|
| 4494 |
+
texts_copy = texts
|
| 4495 |
+
|
| 4496 |
+
if not deterministic_matching:
|
| 4497 |
+
texts_copy = copy.deepcopy(texts)
|
| 4498 |
+
random.shuffle(texts_copy)
|
| 4499 |
+
|
| 4500 |
+
clean_texts = []
|
| 4501 |
+
|
| 4502 |
+
for t in texts_copy:
|
| 4503 |
+
text_words_list = [at.split(chr(32)) for at in t.split(chr(10))]
|
| 4504 |
+
|
| 4505 |
+
clean_text_words_list = []
|
| 4506 |
+
for twl in text_words_list:
|
| 4507 |
+
for w in twl:
|
| 4508 |
+
clean_text_words_list.append(''.join(filter(str.isalpha, w.lower())))
|
| 4509 |
+
|
| 4510 |
+
clean_texts.append(clean_text_words_list)
|
| 4511 |
+
|
| 4512 |
+
text_search_query = [at.split(chr(32)) for at in search_query.split(chr(10))]
|
| 4513 |
+
clean_text_search_query = []
|
| 4514 |
+
for w in text_search_query:
|
| 4515 |
+
for ww in w:
|
| 4516 |
+
clean_text_search_query.append(''.join(filter(str.isalpha, ww.lower())))
|
| 4517 |
+
|
| 4518 |
+
if clean_texts[0] and clean_text_search_query:
|
| 4519 |
+
texts_match_ratios = []
|
| 4520 |
+
words_match_indexes = []
|
| 4521 |
+
for t in clean_texts:
|
| 4522 |
+
word_match_count = 0
|
| 4523 |
+
wmis = []
|
| 4524 |
+
|
| 4525 |
+
for c in clean_text_search_query:
|
| 4526 |
+
if c in t:
|
| 4527 |
+
word_match_count += 1
|
| 4528 |
+
wmis.append(t.index(c))
|
| 4529 |
+
else:
|
| 4530 |
+
wmis.append(-1)
|
| 4531 |
+
|
| 4532 |
+
words_match_indexes.append(wmis)
|
| 4533 |
+
words_match_indexes_consequtive = all(abs(b) - abs(a) == 1 for a, b in zip(wmis, wmis[1:]))
|
| 4534 |
+
words_match_indexes_consequtive_ratio = sum([abs(b) - abs(a) == 1 for a, b in zip(wmis, wmis[1:])]) / len(wmis)
|
| 4535 |
+
|
| 4536 |
+
if words_match_indexes_consequtive:
|
| 4537 |
+
texts_match_ratios.append(word_match_count / len(clean_text_search_query))
|
| 4538 |
+
else:
|
| 4539 |
+
texts_match_ratios.append(((word_match_count / len(clean_text_search_query)) + words_match_indexes_consequtive_ratio) / 2)
|
| 4540 |
+
|
| 4541 |
+
if texts_match_ratios:
|
| 4542 |
+
max_text_match_ratio = max(texts_match_ratios)
|
| 4543 |
+
max_match_ratio_text = texts_copy[texts_match_ratios.index(max_text_match_ratio)]
|
| 4544 |
+
max_text_words_match_indexes = words_match_indexes[texts_match_ratios.index(max_text_match_ratio)]
|
| 4545 |
+
|
| 4546 |
+
return [max_match_ratio_text, max_text_match_ratio, max_text_words_match_indexes]
|
| 4547 |
+
|
| 4548 |
+
else:
|
| 4549 |
+
return None
|
| 4550 |
+
|
| 4551 |
+
###################################################################################
|
| 4552 |
+
|
| 4553 |
+
def ascii_text_words_counter(ascii_text):
|
| 4554 |
+
|
| 4555 |
+
text_words_list = [at.split(chr(32)) for at in ascii_text.split(chr(10))]
|
| 4556 |
+
|
| 4557 |
+
clean_text_words_list = []
|
| 4558 |
+
for twl in text_words_list:
|
| 4559 |
+
for w in twl:
|
| 4560 |
+
wo = ''
|
| 4561 |
+
for ww in w.lower():
|
| 4562 |
+
if 96 < ord(ww) < 123:
|
| 4563 |
+
wo += ww
|
| 4564 |
+
if wo != '':
|
| 4565 |
+
clean_text_words_list.append(wo)
|
| 4566 |
+
|
| 4567 |
+
words = {}
|
| 4568 |
+
for i in clean_text_words_list:
|
| 4569 |
+
words[i] = words.get(i, 0) + 1
|
| 4570 |
+
|
| 4571 |
+
words_sorted = dict(sorted(words.items(), key=lambda item: item[1], reverse=True))
|
| 4572 |
+
|
| 4573 |
+
return len(clean_text_words_list), words_sorted, clean_text_words_list
|
| 4574 |
+
|
| 4575 |
+
###################################################################################
|
| 4576 |
+
|
| 4577 |
+
def check_and_fix_tones_chord(tones_chord):
|
| 4578 |
+
|
| 4579 |
+
lst = tones_chord
|
| 4580 |
+
|
| 4581 |
+
if len(lst) == 2:
|
| 4582 |
+
if lst[1] - lst[0] == 1:
|
| 4583 |
+
return [lst[-1]]
|
| 4584 |
+
else:
|
| 4585 |
+
if 0 in lst and 11 in lst:
|
| 4586 |
+
lst.remove(0)
|
| 4587 |
+
return lst
|
| 4588 |
+
|
| 4589 |
+
non_consecutive = [lst[0]]
|
| 4590 |
+
|
| 4591 |
+
if len(lst) > 2:
|
| 4592 |
+
for i in range(1, len(lst) - 1):
|
| 4593 |
+
if lst[i-1] + 1 != lst[i] and lst[i] + 1 != lst[i+1]:
|
| 4594 |
+
non_consecutive.append(lst[i])
|
| 4595 |
+
non_consecutive.append(lst[-1])
|
| 4596 |
+
|
| 4597 |
+
if 0 in non_consecutive and 11 in non_consecutive:
|
| 4598 |
+
non_consecutive.remove(0)
|
| 4599 |
+
|
| 4600 |
+
return non_consecutive
|
| 4601 |
+
|
| 4602 |
+
###################################################################################
|
| 4603 |
+
|
| 4604 |
+
def find_closest_tone(tones, tone):
|
| 4605 |
+
return min(tones, key=lambda x:abs(x-tone))
|
| 4606 |
+
|
| 4607 |
+
def advanced_check_and_fix_tones_chord(tones_chord, high_pitch=0):
|
| 4608 |
+
|
| 4609 |
+
lst = tones_chord
|
| 4610 |
+
|
| 4611 |
+
if 0 < high_pitch < 128:
|
| 4612 |
+
ht = high_pitch % 12
|
| 4613 |
+
else:
|
| 4614 |
+
ht = 12
|
| 4615 |
+
|
| 4616 |
+
cht = find_closest_tone(lst, ht)
|
| 4617 |
+
|
| 4618 |
+
if len(lst) == 2:
|
| 4619 |
+
if lst[1] - lst[0] == 1:
|
| 4620 |
+
return [cht]
|
| 4621 |
+
else:
|
| 4622 |
+
if 0 in lst and 11 in lst:
|
| 4623 |
+
if find_closest_tone([0, 11], cht) == 11:
|
| 4624 |
+
lst.remove(0)
|
| 4625 |
+
else:
|
| 4626 |
+
lst.remove(11)
|
| 4627 |
+
return lst
|
| 4628 |
+
|
| 4629 |
+
non_consecutive = []
|
| 4630 |
+
|
| 4631 |
+
if len(lst) > 2:
|
| 4632 |
+
for i in range(0, len(lst) - 1):
|
| 4633 |
+
if lst[i] + 1 != lst[i+1]:
|
| 4634 |
+
non_consecutive.append(lst[i])
|
| 4635 |
+
if lst[-1] - lst[-2] > 1:
|
| 4636 |
+
non_consecutive.append(lst[-1])
|
| 4637 |
+
|
| 4638 |
+
if cht not in non_consecutive:
|
| 4639 |
+
non_consecutive.append(cht)
|
| 4640 |
+
non_consecutive.sort()
|
| 4641 |
+
if any(abs(non_consecutive[i+1] - non_consecutive[i]) == 1 for i in range(len(non_consecutive) - 1)):
|
| 4642 |
+
final_list = [x for x in non_consecutive if x == cht or abs(x - cht) > 1]
|
| 4643 |
+
else:
|
| 4644 |
+
final_list = non_consecutive
|
| 4645 |
+
|
| 4646 |
+
else:
|
| 4647 |
+
final_list = non_consecutive
|
| 4648 |
+
|
| 4649 |
+
if 0 in final_list and 11 in final_list:
|
| 4650 |
+
if find_closest_tone([0, 11], cht) == 11:
|
| 4651 |
+
final_list.remove(0)
|
| 4652 |
+
else:
|
| 4653 |
+
final_list.remove(11)
|
| 4654 |
+
|
| 4655 |
+
if cht in final_list or ht in final_list:
|
| 4656 |
+
return final_list
|
| 4657 |
+
else:
|
| 4658 |
+
return ['Error']
|
| 4659 |
+
|
| 4660 |
+
###################################################################################
|
| 4661 |
+
|
| 4662 |
+
def create_similarity_matrix(list_of_values, matrix_length=0):
|
| 4663 |
+
|
| 4664 |
+
counts = Counter(list_of_values).items()
|
| 4665 |
+
|
| 4666 |
+
if matrix_length > 0:
|
| 4667 |
+
sim_matrix = [0] * max(matrix_length, len(list_of_values))
|
| 4668 |
+
else:
|
| 4669 |
+
sim_matrix = [0] * len(counts)
|
| 4670 |
+
|
| 4671 |
+
for c in counts:
|
| 4672 |
+
sim_matrix[c[0]] = c[1]
|
| 4673 |
+
|
| 4674 |
+
similarity_matrix = [[0] * len(sim_matrix) for _ in range(len(sim_matrix))]
|
| 4675 |
+
|
| 4676 |
+
for i in range(len(sim_matrix)):
|
| 4677 |
+
for j in range(len(sim_matrix)):
|
| 4678 |
+
if max(sim_matrix[i], sim_matrix[j]) != 0:
|
| 4679 |
+
similarity_matrix[i][j] = min(sim_matrix[i], sim_matrix[j]) / max(sim_matrix[i], sim_matrix[j])
|
| 4680 |
+
|
| 4681 |
+
return similarity_matrix, sim_matrix
|
| 4682 |
+
|
| 4683 |
+
###################################################################################
|
| 4684 |
+
|
| 4685 |
+
def augment_enhanced_score_notes(enhanced_score_notes,
|
| 4686 |
+
timings_divider=16,
|
| 4687 |
+
full_sorting=True,
|
| 4688 |
+
timings_shift=0,
|
| 4689 |
+
pitch_shift=0
|
| 4690 |
+
):
|
| 4691 |
+
|
| 4692 |
+
esn = copy.deepcopy(enhanced_score_notes)
|
| 4693 |
+
|
| 4694 |
+
for e in esn:
|
| 4695 |
+
e[1] = int(e[1] / timings_divider) + timings_shift
|
| 4696 |
+
e[2] = int(e[2] / timings_divider) + timings_shift
|
| 4697 |
+
e[4] = e[4] + pitch_shift
|
| 4698 |
+
|
| 4699 |
+
if full_sorting:
|
| 4700 |
+
|
| 4701 |
+
# Sorting by patch, pitch, then by start-time
|
| 4702 |
+
esn.sort(key=lambda x: x[6])
|
| 4703 |
+
esn.sort(key=lambda x: x[4], reverse=True)
|
| 4704 |
+
esn.sort(key=lambda x: x[1])
|
| 4705 |
+
|
| 4706 |
+
return esn
|
| 4707 |
+
|
| 4708 |
+
###################################################################################
|
| 4709 |
+
|
| 4710 |
+
def stack_list(lst, base=12):
|
| 4711 |
+
return sum(j * base**i for i, j in enumerate(lst[::-1]))
|
| 4712 |
+
|
| 4713 |
+
def destack_list(num, base=12):
|
| 4714 |
+
lst = []
|
| 4715 |
+
while num:
|
| 4716 |
+
lst.append(num % base)
|
| 4717 |
+
num //= base
|
| 4718 |
+
return lst[::-1]
|
| 4719 |
+
|
| 4720 |
+
###################################################################################
|
| 4721 |
+
|
| 4722 |
+
def extract_melody(chordified_enhanced_score,
|
| 4723 |
+
melody_range=[48, 84],
|
| 4724 |
+
melody_channel=0,
|
| 4725 |
+
melody_patch=0,
|
| 4726 |
+
melody_velocity=0,
|
| 4727 |
+
stacked_melody=False,
|
| 4728 |
+
stacked_melody_base_pitch=60
|
| 4729 |
+
):
|
| 4730 |
+
|
| 4731 |
+
if stacked_melody:
|
| 4732 |
+
|
| 4733 |
+
|
| 4734 |
+
all_pitches_chords = []
|
| 4735 |
+
for e in chordified_enhanced_score:
|
| 4736 |
+
all_pitches_chords.append(sorted(set([p[4] for p in e]), reverse=True))
|
| 4737 |
+
|
| 4738 |
+
melody_score = []
|
| 4739 |
+
for i, chord in enumerate(chordified_enhanced_score):
|
| 4740 |
+
|
| 4741 |
+
if melody_velocity > 0:
|
| 4742 |
+
vel = melody_velocity
|
| 4743 |
+
else:
|
| 4744 |
+
vel = chord[0][5]
|
| 4745 |
+
|
| 4746 |
+
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])
|
| 4747 |
+
|
| 4748 |
+
else:
|
| 4749 |
+
|
| 4750 |
+
melody_score = copy.deepcopy([c[0] for c in chordified_enhanced_score if c[0][3] != 9])
|
| 4751 |
+
|
| 4752 |
+
for e in melody_score:
|
| 4753 |
+
|
| 4754 |
+
e[3] = melody_channel
|
| 4755 |
+
|
| 4756 |
+
if melody_velocity > 0:
|
| 4757 |
+
e[5] = melody_velocity
|
| 4758 |
+
|
| 4759 |
+
e[6] = melody_patch
|
| 4760 |
+
|
| 4761 |
+
if e[4] < melody_range[0]:
|
| 4762 |
+
e[4] = (e[4] % 12) + melody_range[0]
|
| 4763 |
+
|
| 4764 |
+
if e[4] >= melody_range[1]:
|
| 4765 |
+
e[4] = (e[4] % 12) + (melody_range[1]-12)
|
| 4766 |
+
|
| 4767 |
+
return fix_monophonic_score_durations(melody_score)
|
| 4768 |
+
|
| 4769 |
+
###################################################################################
|
| 4770 |
+
|
| 4771 |
+
def flip_enhanced_score_notes(enhanced_score_notes):
|
| 4772 |
+
|
| 4773 |
+
min_pitch = min([e[4] for e in enhanced_score_notes if e[3] != 9])
|
| 4774 |
+
|
| 4775 |
+
fliped_score_pitches = [127 - e[4]for e in enhanced_score_notes if e[3] != 9]
|
| 4776 |
+
|
| 4777 |
+
delta_min_pitch = min_pitch - min([p for p in fliped_score_pitches])
|
| 4778 |
+
|
| 4779 |
+
output_score = copy.deepcopy(enhanced_score_notes)
|
| 4780 |
+
|
| 4781 |
+
for e in output_score:
|
| 4782 |
+
if e[3] != 9:
|
| 4783 |
+
e[4] = (127 - e[4]) + delta_min_pitch
|
| 4784 |
+
|
| 4785 |
+
return output_score
|
| 4786 |
+
|
| 4787 |
+
###################################################################################
|
| 4788 |
+
|
| 4789 |
+
ALL_CHORDS_SORTED = [[0], [0, 2], [0, 3], [0, 4], [0, 2, 4], [0, 5], [0, 2, 5], [0, 3, 5], [0, 6],
|
| 4790 |
+
[0, 2, 6], [0, 3, 6], [0, 4, 6], [0, 2, 4, 6], [0, 7], [0, 2, 7], [0, 3, 7],
|
| 4791 |
+
[0, 4, 7], [0, 5, 7], [0, 2, 4, 7], [0, 2, 5, 7], [0, 3, 5, 7], [0, 8],
|
| 4792 |
+
[0, 2, 8], [0, 3, 8], [0, 4, 8], [0, 5, 8], [0, 6, 8], [0, 2, 4, 8],
|
| 4793 |
+
[0, 2, 5, 8], [0, 2, 6, 8], [0, 3, 5, 8], [0, 3, 6, 8], [0, 4, 6, 8],
|
| 4794 |
+
[0, 2, 4, 6, 8], [0, 9], [0, 2, 9], [0, 3, 9], [0, 4, 9], [0, 5, 9], [0, 6, 9],
|
| 4795 |
+
[0, 7, 9], [0, 2, 4, 9], [0, 2, 5, 9], [0, 2, 6, 9], [0, 2, 7, 9],
|
| 4796 |
+
[0, 3, 5, 9], [0, 3, 6, 9], [0, 3, 7, 9], [0, 4, 6, 9], [0, 4, 7, 9],
|
| 4797 |
+
[0, 5, 7, 9], [0, 2, 4, 6, 9], [0, 2, 4, 7, 9], [0, 2, 5, 7, 9],
|
| 4798 |
+
[0, 3, 5, 7, 9], [0, 10], [0, 2, 10], [0, 3, 10], [0, 4, 10], [0, 5, 10],
|
| 4799 |
+
[0, 6, 10], [0, 7, 10], [0, 8, 10], [0, 2, 4, 10], [0, 2, 5, 10],
|
| 4800 |
+
[0, 2, 6, 10], [0, 2, 7, 10], [0, 2, 8, 10], [0, 3, 5, 10], [0, 3, 6, 10],
|
| 4801 |
+
[0, 3, 7, 10], [0, 3, 8, 10], [0, 4, 6, 10], [0, 4, 7, 10], [0, 4, 8, 10],
|
| 4802 |
+
[0, 5, 7, 10], [0, 5, 8, 10], [0, 6, 8, 10], [0, 2, 4, 6, 10],
|
| 4803 |
+
[0, 2, 4, 7, 10], [0, 2, 4, 8, 10], [0, 2, 5, 7, 10], [0, 2, 5, 8, 10],
|
| 4804 |
+
[0, 2, 6, 8, 10], [0, 3, 5, 7, 10], [0, 3, 5, 8, 10], [0, 3, 6, 8, 10],
|
| 4805 |
+
[0, 4, 6, 8, 10], [0, 2, 4, 6, 8, 10], [1], [1, 3], [1, 4], [1, 5], [1, 3, 5],
|
| 4806 |
+
[1, 6], [1, 3, 6], [1, 4, 6], [1, 7], [1, 3, 7], [1, 4, 7], [1, 5, 7],
|
| 4807 |
+
[1, 3, 5, 7], [1, 8], [1, 3, 8], [1, 4, 8], [1, 5, 8], [1, 6, 8], [1, 3, 5, 8],
|
| 4808 |
+
[1, 3, 6, 8], [1, 4, 6, 8], [1, 9], [1, 3, 9], [1, 4, 9], [1, 5, 9], [1, 6, 9],
|
| 4809 |
+
[1, 7, 9], [1, 3, 5, 9], [1, 3, 6, 9], [1, 3, 7, 9], [1, 4, 6, 9],
|
| 4810 |
+
[1, 4, 7, 9], [1, 5, 7, 9], [1, 3, 5, 7, 9], [1, 10], [1, 3, 10], [1, 4, 10],
|
| 4811 |
+
[1, 5, 10], [1, 6, 10], [1, 7, 10], [1, 8, 10], [1, 3, 5, 10], [1, 3, 6, 10],
|
| 4812 |
+
[1, 3, 7, 10], [1, 3, 8, 10], [1, 4, 6, 10], [1, 4, 7, 10], [1, 4, 8, 10],
|
| 4813 |
+
[1, 5, 7, 10], [1, 5, 8, 10], [1, 6, 8, 10], [1, 3, 5, 7, 10],
|
| 4814 |
+
[1, 3, 5, 8, 10], [1, 3, 6, 8, 10], [1, 4, 6, 8, 10], [1, 11], [1, 3, 11],
|
| 4815 |
+
[1, 4, 11], [1, 5, 11], [1, 6, 11], [1, 7, 11], [1, 8, 11], [1, 9, 11],
|
| 4816 |
+
[1, 3, 5, 11], [1, 3, 6, 11], [1, 3, 7, 11], [1, 3, 8, 11], [1, 3, 9, 11],
|
| 4817 |
+
[1, 4, 6, 11], [1, 4, 7, 11], [1, 4, 8, 11], [1, 4, 9, 11], [1, 5, 7, 11],
|
| 4818 |
+
[1, 5, 8, 11], [1, 5, 9, 11], [1, 6, 8, 11], [1, 6, 9, 11], [1, 7, 9, 11],
|
| 4819 |
+
[1, 3, 5, 7, 11], [1, 3, 5, 8, 11], [1, 3, 5, 9, 11], [1, 3, 6, 8, 11],
|
| 4820 |
+
[1, 3, 6, 9, 11], [1, 3, 7, 9, 11], [1, 4, 6, 8, 11], [1, 4, 6, 9, 11],
|
| 4821 |
+
[1, 4, 7, 9, 11], [1, 5, 7, 9, 11], [1, 3, 5, 7, 9, 11], [2], [2, 4], [2, 5],
|
| 4822 |
+
[2, 6], [2, 4, 6], [2, 7], [2, 4, 7], [2, 5, 7], [2, 8], [2, 4, 8], [2, 5, 8],
|
| 4823 |
+
[2, 6, 8], [2, 4, 6, 8], [2, 9], [2, 4, 9], [2, 5, 9], [2, 6, 9], [2, 7, 9],
|
| 4824 |
+
[2, 4, 6, 9], [2, 4, 7, 9], [2, 5, 7, 9], [2, 10], [2, 4, 10], [2, 5, 10],
|
| 4825 |
+
[2, 6, 10], [2, 7, 10], [2, 8, 10], [2, 4, 6, 10], [2, 4, 7, 10],
|
| 4826 |
+
[2, 4, 8, 10], [2, 5, 7, 10], [2, 5, 8, 10], [2, 6, 8, 10], [2, 4, 6, 8, 10],
|
| 4827 |
+
[2, 11], [2, 4, 11], [2, 5, 11], [2, 6, 11], [2, 7, 11], [2, 8, 11],
|
| 4828 |
+
[2, 9, 11], [2, 4, 6, 11], [2, 4, 7, 11], [2, 4, 8, 11], [2, 4, 9, 11],
|
| 4829 |
+
[2, 5, 7, 11], [2, 5, 8, 11], [2, 5, 9, 11], [2, 6, 8, 11], [2, 6, 9, 11],
|
| 4830 |
+
[2, 7, 9, 11], [2, 4, 6, 8, 11], [2, 4, 6, 9, 11], [2, 4, 7, 9, 11],
|
| 4831 |
+
[2, 5, 7, 9, 11], [3], [3, 5], [3, 6], [3, 7], [3, 5, 7], [3, 8], [3, 5, 8],
|
| 4832 |
+
[3, 6, 8], [3, 9], [3, 5, 9], [3, 6, 9], [3, 7, 9], [3, 5, 7, 9], [3, 10],
|
| 4833 |
+
[3, 5, 10], [3, 6, 10], [3, 7, 10], [3, 8, 10], [3, 5, 7, 10], [3, 5, 8, 10],
|
| 4834 |
+
[3, 6, 8, 10], [3, 11], [3, 5, 11], [3, 6, 11], [3, 7, 11], [3, 8, 11],
|
| 4835 |
+
[3, 9, 11], [3, 5, 7, 11], [3, 5, 8, 11], [3, 5, 9, 11], [3, 6, 8, 11],
|
| 4836 |
+
[3, 6, 9, 11], [3, 7, 9, 11], [3, 5, 7, 9, 11], [4], [4, 6], [4, 7], [4, 8],
|
| 4837 |
+
[4, 6, 8], [4, 9], [4, 6, 9], [4, 7, 9], [4, 10], [4, 6, 10], [4, 7, 10],
|
| 4838 |
+
[4, 8, 10], [4, 6, 8, 10], [4, 11], [4, 6, 11], [4, 7, 11], [4, 8, 11],
|
| 4839 |
+
[4, 9, 11], [4, 6, 8, 11], [4, 6, 9, 11], [4, 7, 9, 11], [5], [5, 7], [5, 8],
|
| 4840 |
+
[5, 9], [5, 7, 9], [5, 10], [5, 7, 10], [5, 8, 10], [5, 11], [5, 7, 11],
|
| 4841 |
+
[5, 8, 11], [5, 9, 11], [5, 7, 9, 11], [6], [6, 8], [6, 9], [6, 10],
|
| 4842 |
+
[6, 8, 10], [6, 11], [6, 8, 11], [6, 9, 11], [7], [7, 9], [7, 10], [7, 11],
|
| 4843 |
+
[7, 9, 11], [8], [8, 10], [8, 11], [9], [9, 11], [10], [11]]
|
| 4844 |
+
|
| 4845 |
+
###################################################################################
|
| 4846 |
+
|
| 4847 |
+
MIDI_Instruments_Families = {
|
| 4848 |
+
0: 'Piano Family',
|
| 4849 |
+
1: 'Chromatic Percussion Family',
|
| 4850 |
+
2: 'Organ Family',
|
| 4851 |
+
3: 'Guitar Family',
|
| 4852 |
+
4: 'Bass Family',
|
| 4853 |
+
5: 'Strings Family',
|
| 4854 |
+
6: 'Ensemble Family',
|
| 4855 |
+
7: 'Brass Family',
|
| 4856 |
+
8: 'Reed Family',
|
| 4857 |
+
9: 'Pipe Family',
|
| 4858 |
+
10: 'Synth Lead Family',
|
| 4859 |
+
11: 'Synth Pad Family',
|
| 4860 |
+
12: 'Synth Effects Family',
|
| 4861 |
+
13: 'Ethnic Family',
|
| 4862 |
+
14: 'Percussive Family',
|
| 4863 |
+
15: 'Sound Effects Family',
|
| 4864 |
+
16: 'Drums Family',
|
| 4865 |
+
-1: 'Unknown Family',
|
| 4866 |
+
}
|
| 4867 |
+
|
| 4868 |
+
###################################################################################
|
| 4869 |
+
|
| 4870 |
+
def patch_to_instrument_family(MIDI_patch, drums_patch=128):
|
| 4871 |
+
|
| 4872 |
+
if 0 <= MIDI_patch < 128:
|
| 4873 |
+
return MIDI_patch // 8, MIDI_Instruments_Families[MIDI_patch // 8]
|
| 4874 |
+
|
| 4875 |
+
elif MIDI_patch == drums_patch:
|
| 4876 |
+
return MIDI_patch // 8, MIDI_Instruments_Families[16]
|
| 4877 |
+
|
| 4878 |
+
else:
|
| 4879 |
+
return -1, MIDI_Instruments_Families[-1]
|
| 4880 |
+
|
| 4881 |
+
###################################################################################
|
| 4882 |
+
|
| 4883 |
+
def patch_list_from_enhanced_score_notes(enhanced_score_notes,
|
| 4884 |
+
default_patch=0,
|
| 4885 |
+
drums_patch=9,
|
| 4886 |
+
verbose=False
|
| 4887 |
+
):
|
| 4888 |
+
|
| 4889 |
+
patches = [-1] * 16
|
| 4890 |
+
|
| 4891 |
+
for idx, e in enumerate(enhanced_score_notes):
|
| 4892 |
+
if e[3] != 9:
|
| 4893 |
+
if patches[e[3]] == -1:
|
| 4894 |
+
patches[e[3]] = e[6]
|
| 4895 |
+
else:
|
| 4896 |
+
if patches[e[3]] != e[6]:
|
| 4897 |
+
if e[6] in patches:
|
| 4898 |
+
e[3] = patches.index(e[6])
|
| 4899 |
+
else:
|
| 4900 |
+
if -1 in patches:
|
| 4901 |
+
patches[patches.index(-1)] = e[6]
|
| 4902 |
+
else:
|
| 4903 |
+
patches[-1] = e[6]
|
| 4904 |
+
|
| 4905 |
+
if verbose:
|
| 4906 |
+
print('=' * 70)
|
| 4907 |
+
print('WARNING! Composition has more than 15 patches!')
|
| 4908 |
+
print('Conflict note number:', idx)
|
| 4909 |
+
print('Conflict channel number:', e[3])
|
| 4910 |
+
print('Conflict patch number:', e[6])
|
| 4911 |
+
|
| 4912 |
+
patches = [p if p != -1 else default_patch for p in patches]
|
| 4913 |
+
|
| 4914 |
+
patches[9] = drums_patch
|
| 4915 |
+
|
| 4916 |
+
if verbose:
|
| 4917 |
+
print('=' * 70)
|
| 4918 |
+
print('Composition patches')
|
| 4919 |
+
print('=' * 70)
|
| 4920 |
+
for c, p in enumerate(patches):
|
| 4921 |
+
print('Cha', str(c).zfill(2), '---', str(p).zfill(3), Number2patch[p])
|
| 4922 |
+
print('=' * 70)
|
| 4923 |
+
|
| 4924 |
+
return patches
|
| 4925 |
+
|
| 4926 |
+
###################################################################################
|
| 4927 |
+
|
| 4928 |
+
def patch_enhanced_score_notes(enhanced_score_notes,
|
| 4929 |
+
default_patch=0,
|
| 4930 |
+
drums_patch=9,
|
| 4931 |
+
verbose=False
|
| 4932 |
+
):
|
| 4933 |
+
|
| 4934 |
+
#===========================================================================
|
| 4935 |
+
|
| 4936 |
+
enhanced_score_notes_with_patch_changes = []
|
| 4937 |
+
|
| 4938 |
+
patches = [-1] * 16
|
| 4939 |
+
|
| 4940 |
+
overflow_idx = -1
|
| 4941 |
+
|
| 4942 |
+
for idx, e in enumerate(enhanced_score_notes):
|
| 4943 |
+
if e[3] != 9:
|
| 4944 |
+
if patches[e[3]] == -1:
|
| 4945 |
+
patches[e[3]] = e[6]
|
| 4946 |
+
else:
|
| 4947 |
+
if patches[e[3]] != e[6]:
|
| 4948 |
+
if e[6] in patches:
|
| 4949 |
+
e[3] = patches.index(e[6])
|
| 4950 |
+
else:
|
| 4951 |
+
if -1 in patches:
|
| 4952 |
+
patches[patches.index(-1)] = e[6]
|
| 4953 |
+
else:
|
| 4954 |
+
overflow_idx = idx
|
| 4955 |
+
break
|
| 4956 |
+
|
| 4957 |
+
enhanced_score_notes_with_patch_changes.append(e)
|
| 4958 |
+
|
| 4959 |
+
#===========================================================================
|
| 4960 |
+
|
| 4961 |
+
overflow_patches = []
|
| 4962 |
+
|
| 4963 |
+
if overflow_idx != -1:
|
| 4964 |
+
for idx, e in enumerate(enhanced_score_notes[overflow_idx:]):
|
| 4965 |
+
if e[3] != 9:
|
| 4966 |
+
if e[6] not in patches:
|
| 4967 |
+
if e[6] not in overflow_patches:
|
| 4968 |
+
overflow_patches.append(e[6])
|
| 4969 |
+
enhanced_score_notes_with_patch_changes.append(['patch_change', e[1], e[3], e[6]])
|
| 4970 |
+
else:
|
| 4971 |
+
e[3] = patches.index(e[6])
|
| 4972 |
+
|
| 4973 |
+
enhanced_score_notes_with_patch_changes.append(e)
|
| 4974 |
+
|
| 4975 |
+
#===========================================================================
|
| 4976 |
+
|
| 4977 |
+
patches = [p if p != -1 else default_patch for p in patches]
|
| 4978 |
+
|
| 4979 |
+
patches[9] = drums_patch
|
| 4980 |
+
|
| 4981 |
+
#===========================================================================
|
| 4982 |
+
|
| 4983 |
+
if verbose:
|
| 4984 |
+
print('=' * 70)
|
| 4985 |
+
print('Composition patches')
|
| 4986 |
+
print('=' * 70)
|
| 4987 |
+
for c, p in enumerate(patches):
|
| 4988 |
+
print('Cha', str(c).zfill(2), '---', str(p).zfill(3), Number2patch[p])
|
| 4989 |
+
print('=' * 70)
|
| 4990 |
+
|
| 4991 |
+
if overflow_patches:
|
| 4992 |
+
print('Extra composition patches')
|
| 4993 |
+
print('=' * 70)
|
| 4994 |
+
for c, p in enumerate(overflow_patches):
|
| 4995 |
+
print(str(p).zfill(3), Number2patch[p])
|
| 4996 |
+
print('=' * 70)
|
| 4997 |
+
|
| 4998 |
+
return enhanced_score_notes_with_patch_changes, patches, overflow_patches
|
| 4999 |
+
|
| 5000 |
+
###################################################################################
|
| 5001 |
+
|
| 5002 |
+
def create_enhanced_monophonic_melody(monophonic_melody):
|
| 5003 |
+
|
| 5004 |
+
enhanced_monophonic_melody = []
|
| 5005 |
+
|
| 5006 |
+
for i, note in enumerate(monophonic_melody[:-1]):
|
| 5007 |
+
|
| 5008 |
+
enhanced_monophonic_melody.append(note)
|
| 5009 |
+
|
| 5010 |
+
if note[1]+note[2] < monophonic_melody[i+1][1]:
|
| 5011 |
+
|
| 5012 |
+
delta_time = monophonic_melody[i+1][1] - (note[1]+note[2])
|
| 5013 |
+
enhanced_monophonic_melody.append(['silence', note[1]+note[2], delta_time, note[3], 0, 0, note[6]])
|
| 5014 |
+
|
| 5015 |
+
enhanced_monophonic_melody.append(monophonic_melody[-1])
|
| 5016 |
+
|
| 5017 |
+
return enhanced_monophonic_melody
|
| 5018 |
+
|
| 5019 |
+
###################################################################################
|
| 5020 |
+
|
| 5021 |
+
def frame_monophonic_melody(monophonic_melody, min_frame_time_threshold=10):
|
| 5022 |
+
|
| 5023 |
+
mzip = list(zip(monophonic_melody[:-1], monophonic_melody[1:]))
|
| 5024 |
+
|
| 5025 |
+
times_counts = Counter([(b[1]-a[1]) for a, b in mzip]).most_common()
|
| 5026 |
+
|
| 5027 |
+
mc_time = next((item for item, count in times_counts if item >= min_frame_time_threshold), min_frame_time_threshold)
|
| 5028 |
+
|
| 5029 |
+
times = [(b[1]-a[1]) // mc_time for a, b in mzip] + [monophonic_melody[-1][2] // mc_time]
|
| 5030 |
+
|
| 5031 |
+
framed_melody = []
|
| 5032 |
+
|
| 5033 |
+
for i, note in enumerate(monophonic_melody):
|
| 5034 |
+
|
| 5035 |
+
stime = note[1]
|
| 5036 |
+
count = times[i]
|
| 5037 |
+
|
| 5038 |
+
if count != 0:
|
| 5039 |
+
for j in range(count):
|
| 5040 |
+
|
| 5041 |
+
new_note = copy.deepcopy(note)
|
| 5042 |
+
new_note[1] = stime + (j * mc_time)
|
| 5043 |
+
new_note[2] = mc_time
|
| 5044 |
+
framed_melody.append(new_note)
|
| 5045 |
+
|
| 5046 |
+
else:
|
| 5047 |
+
framed_melody.append(note)
|
| 5048 |
+
|
| 5049 |
+
return [framed_melody, mc_time]
|
| 5050 |
+
|
| 5051 |
+
###################################################################################
|
| 5052 |
+
|
| 5053 |
+
def delta_score_notes(score_notes,
|
| 5054 |
+
timings_clip_value=255,
|
| 5055 |
+
even_timings=False,
|
| 5056 |
+
compress_timings=False
|
| 5057 |
+
):
|
| 5058 |
+
|
| 5059 |
+
delta_score = []
|
| 5060 |
+
|
| 5061 |
+
pe = score_notes[0]
|
| 5062 |
+
|
| 5063 |
+
for n in score_notes:
|
| 5064 |
+
|
| 5065 |
+
note = copy.deepcopy(n)
|
| 5066 |
+
|
| 5067 |
+
time = n[1] - pe[1]
|
| 5068 |
+
dur = n[2]
|
| 5069 |
+
|
| 5070 |
+
if even_timings:
|
| 5071 |
+
if time != 0 and time % 2 != 0:
|
| 5072 |
+
time += 1
|
| 5073 |
+
if dur % 2 != 0:
|
| 5074 |
+
dur += 1
|
| 5075 |
+
|
| 5076 |
+
time = max(0, min(timings_clip_value, time))
|
| 5077 |
+
dur = max(0, min(timings_clip_value, dur))
|
| 5078 |
+
|
| 5079 |
+
if compress_timings:
|
| 5080 |
+
time /= 2
|
| 5081 |
+
dur /= 2
|
| 5082 |
+
|
| 5083 |
+
note[1] = int(time)
|
| 5084 |
+
note[2] = int(dur)
|
| 5085 |
+
|
| 5086 |
+
delta_score.append(note)
|
| 5087 |
+
|
| 5088 |
+
pe = n
|
| 5089 |
+
|
| 5090 |
+
return delta_score
|
| 5091 |
+
|
| 5092 |
+
###################################################################################
|
| 5093 |
+
|
| 5094 |
+
# This is the end of the TMIDI X Python module
|
| 5095 |
+
|
| 5096 |
+
###################################################################################
|
midi_to_colab_audio.py
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|