Spaces:
Runtime error
Runtime error
File size: 25,762 Bytes
df5dab1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 |
import numpy as np, scipy.interpolate
from . import io, utils
from .effects import BM_EFFECTS
from .metrics import BM_METRICS
from .presets import BM_SAMPLES
class song:
def __init__(self, audio = None, sr:int=None, log=True):
if audio is None:
from tkinter import filedialog
audio = filedialog.askopenfilename()
if isinstance(audio, song): self.path = audio.path
self.audio, self.sr = io._load(audio=audio, sr=sr)
# unique filename is needed to generate/compare filenames for cached beatmaps
if isinstance(audio, str):
self.path = audio
elif not isinstance(audio, song):
self.path = f'unknown_{hex(int(np.sum(self.audio) * 10**18))}'
self.log = log
self.beatmap = None
self.normalized = None
def _slice(self, a):
if a is None: return None
elif isinstance(a, float):
if (a_dec := a % 1) == 0: return self.beatmap[int(a)]
a_int = int(int(a)//1)
start = self.beatmap[a_int]
return int(start + a_dec * (self.beatmap[a_int+1] - start))
elif isinstance(a, int): return self.beatmap[a]
else: raise TypeError(f'slice indices must be int, float, or None, not {type(a)}. Indice is {a}')
def __getitem__(self, s):
if isinstance(s, slice):
start = s.start
stop = s.stop
step = s.step
if start is not None and stop is not None:
if start > stop:
is_reversed = -1
start, stop = stop, start
else: is_reversed = None
if step is None or step == 1:
start = self._slice(start)
stop = self._slice(stop)
if isinstance(self.audio, list): return [self.audio[0][start:stop:is_reversed],self.audio[1][start:stop:is_reversed]]
else: return self.audio[:,start:stop:is_reversed]
else:
i = s.start if s.start is not None else 0
end = s.stop if s.stop is not None else len(self.beatmap)
if i > end:
step = -step
if step > 0: i, end = end-2, i
elif step < 0: i, end = end-2, i
if step < 0:
is_reversed = True
end -= 1
else: is_reversed = False
pattern = ''
while ((i > end) if is_reversed else (i < end)):
pattern+=f'{i},'
i+=step
song_copy = song(audio = self.audio, sr = self.sr, log = False)
song_copy.beatmap = self.beatmap.copy()
song_copy.beatmap = np.insert(song_copy.beatmap, 0, 0)
result = song_copy.beatswap(pattern = pattern, return_audio = True)
return result if isinstance(self.audio, np.ndarray) else result.tolist()
elif isinstance(s, float):
start = self._slice(s-1)
stop = self._slice(s)
if isinstance(self.audio, list): return [self.audio[0][start:stop],self.audio[1][start:stop]]
else: return self.audio[:,start:stop]
elif isinstance(s, int):
start = self.beatmap[s-1]
stop = self.beatmap[s]
if isinstance(self.audio, list): return [self.audio[0][start:stop],self.audio[1][start:stop]]
else: return self.audio[:,start:stop]
elif isinstance(s, tuple):
start = self._slice(s[0])
stop = self._slice(s[0] + s[1])
if stop<0:
start -= stop
stop = -stop
step = -1
else: step = None
if isinstance(self.audio, list): return [self.audio[0][start:stop:step],self.audio[1][start:stop:step]]
else: return self.audio[:,start:stop:step]
elif isinstance(s, list):
start = s[0]
stop = s[1] if len(s) > 1 else None
if start > stop:
step = -1
start, stop = stop, start
else: step = None
start = self._slice(start)
stop = self._slice(stop)
if step is not None and stop is None: stop = self._slice(start + s.step)
if isinstance(self.audio, list): return [self.audio[0][start:stop:step],self.audio[1][start:stop:step]]
else: return self.audio[:,start:stop:step]
elif isinstance(s, str):
return self.beatswap(pattern = s, return_audio = True)
else: raise TypeError(f'list indices must be int/float/slice/tuple, not {type(s)}; perhaps you missed a comma? Slice is `{s}`')
def _print(self, *args, end=None, sep=None):
if self.log: print(*args, end=end, sep=sep)
def write(self, output='', ext='mp3', suffix=' (beatswap)', literal_output=False):
"""writes"""
if literal_output is False: output = io._outputfilename(output, filename=self.path, suffix=suffix, ext=ext)
io.write_audio(audio=self.audio, sr=self.sr, output=output, log=self.log)
return output
def beatmap_generate(self, lib='madmom.BeatDetectionProcessor', caching = True, load_settings = True):
"""Find beat positions"""
from . import beatmap
self.beatmap = beatmap.generate(audio = self.audio, sr = self.sr, lib=lib, caching=caching, filename = self.path, log = self.log, load_settings = load_settings)
if load_settings is True:
audio_id=hex(len(self.audio[0]))
settingsDir="beat_manipulator/beatmaps/" + ''.join(self.path.split('/')[-1]) + "_"+lib+"_"+audio_id+'_settings.txt'
import os
if os.path.exists(settingsDir):
with open(settingsDir, 'r') as f:
settings = f.read().split(',')
if settings[3] != None: self.normalized = settings[3]
self.beatmap_default = self.beatmap.copy()
self.lib = lib
def beatmap_scale(self, scale:float):
from . import beatmap
self.beatmap = beatmap.scale(beatmap = self.beatmap, scale = scale, log = self.log)
def beatmap_shift(self, shift:float, mode = 1):
from . import beatmap
self.beatmap = beatmap.shift(beatmap = self.beatmap, shift = shift, log = self.log, mode = mode)
def beatmap_reset(self):
self.beatmap = self.beatmap_default.copy()
def beatmap_adjust(self, adjust = 500):
self.beatmap = np.append(np.sort(np.absolute(self.beatmap - adjust)), len(self.audio[0]))
def beatmap_save_settings(self, scale: float = None, shift: float = None, adjust: int = None, normalized = None, overwrite = 'ask'):
from . import beatmap
if self.beatmap is None: self.beatmap_generate()
beatmap.save_settings(audio = self.audio, filename = self.path, scale = scale, shift = shift,adjust = adjust, normalized = normalized, log=self.log, overwrite=overwrite, lib = self.lib)
def beatswap(self, pattern = '1;"cowbell"s3v2, 2;"cowbell"s2, 3;"cowbell", 4;"cowbell"s0.5, 5;"cowbell"s0.25, 6;"cowbell"s0.4, 7;"cowbell"s0.8, 8;"cowbell"s1.6',
scale:float = 1, shift:float = 0, length = None, samples:dict = BM_SAMPLES, effects:dict = BM_EFFECTS, metrics:dict = BM_METRICS, smoothing: int = 100, adjust=500, return_audio = False, normalize = False, limit_beats=10000, limit_length = 52920000):
if normalize is True:
self.normalize_beats()
if self.beatmap is None: self.beatmap_generate()
beatmap_default = self.beatmap.copy()
self.beatmap = np.append(np.sort(np.absolute(self.beatmap - adjust)), len(self.audio[0]))
self.beatmap_shift(shift)
self.beatmap_scale(scale)
# baked in presets
#reverse
if pattern.lower() == 'reverse':
if return_audio is False:
self.audio = self[::-1]
self.beatmap = beatmap_default.copy()
return
else:
result = self[::-1]
self.beatmap = beatmap_default.copy()
return result
# shuffle
elif pattern.lower() == 'shuffle':
import random
beats = list(range(len(self.beatmap)))
random.shuffle(beats)
beats = ','.join(list(str(i) for i in beats))
if return_audio is False:
self.beatswap(beats)
self.beatmap = beatmap_default.copy()
return
else:
result = self.beatswap(beats, return_audio = True)
self.beatmap = beatmap_default.copy()
return result
# test
elif pattern.lower() == 'test':
if return_audio is False:
self.beatswap('1;"cowbell"s3v2, 2;"cowbell"s2, 3;"cowbell", 4;"cowbell"s0.5, 5;"cowbell"s0.25, 6;"cowbell"s0.4, 7;"cowbell"s0.8, 8;"cowbell"s1.6')
self.beatmap = beatmap_default.copy()
return
else:
result = self.beatswap('1;"cowbell"s3v2, 2;"cowbell"s2, 3;"cowbell", 4;"cowbell"s0.5, 5;"cowbell"s0.25, 6;"cowbell"s0.4, 7;"cowbell"s0.8, 8;"cowbell"s1.6', return_audio = True)
self.beatmap = beatmap_default.copy()
return result
# random
elif pattern.lower() == 'random':
import random,math
pattern = ''
rand_length=0
while True:
rand_num = int(math.floor(random.triangular(1, 16, rand_length-1)))
if random.uniform(0, rand_num)>rand_length: rand_num = rand_length+1
rand_slice = random.choices(['','>0.5','>0.25', '<0.5', '<0.25', '<1/3', '<2/3', '>1/3', '>2/3', '<0.75', '>0.75',
f'>{random.uniform(0.01,2)}', f'<{random.uniform(0.01,2)}'], weights = [13,1,1,1,1,1,1,1,1,1,1,1,1], k=1)[0]
rand_effect = random.choices(['', 's0.5', 's2', f's{random.triangular(0.1,1,4)}', 'r','v0.5', 'v2', 'v0',
f'd{int(random.triangular(1,8,16))}', 'g', 'c', 'c0', 'c1', f'b{int(random.triangular(1,8,4))}'],
weights=[30, 2, 2, 2, 2, 1, 1, 2, 2, 1, 2, 2, 2, 1], k=1)[0]
rand_join = random.choices([', ', ';'], weights = [5, 1], k=1)[0]
pattern += f'{rand_num}{rand_slice}{rand_effect}{rand_join}'
if rand_join == ',': rand_length+=1
if rand_length in [4, 8, 16]:
if random.uniform(rand_num,16)>14: break
else:
if random.uniform(rand_num,16)>15.5: break
pattern_length = 4
if rand_length > 6: pattern_length = 8
if rand_length > 12: pattern_length = 16
if rand_length > 24: pattern_length = 32
from . import parse
pattern, operators, pattern_length, shuffle_groups, shuffle_beats, c_slice, c_misc, c_join = parse.parse(pattern = pattern, samples = samples, pattern_length = length, log = self.log)
#print(f'pattern length = {pattern_length}')
# beatswap
n=-1
tries = 0
metric = None
result=[self.audio[:,:self.beatmap[0]]]
#for i in pattern: print(i)
stop = False
total_length = 0
# loop over pattern until it reaches the last beat
while n*pattern_length <= len(self.beatmap):
n+=1
if stop is True: break
# Every time pattern loops, shuffles beats with #
if len(shuffle_beats) > 0:
pattern = parse._shuffle(pattern, shuffle_beats, shuffle_groups)
# Loops over all beats in pattern
for num, b in enumerate(pattern):
# check if beats limit has been reached
if limit_beats is not None and len(result) >= limit_beats:
stop = True
break
if len(b) == 4: beat = b[3] # Sample has length 4
else: beat = b[0] # Else take the beat
if beat is not None:
beat_as_string = ''.join(beat) if isinstance(beat, list) else beat
# Skips `!` beats
if c_misc[9] in beat_as_string: continue
# Audio is a sample or a song
if len(b) == 4:
audio = b[0]
# Audio is a song
if b[2] == c_misc[10]:
try:
# Song slice is a single beat, takes it
if isinstance(beat, str):
# random beat if `@` in beat (`_` is separator)
if c_misc[4] in beat: beat = parse._random(beat, rchar = c_misc[4], schar = c_misc[5], length = pattern_length)
beat = utils._safer_eval(beat) + pattern_length*n
while beat > len(audio.beatmap)-1: beat = 1 + beat - len(audio.beatmap)
beat = audio[beat]
# Song slice is a range of beats, takes the beats
elif isinstance(beat, list):
beat = beat.copy()
for i in range(len(beat)-1): # no separator
if c_misc[4] in beat[i]: beat[i] = parse._random(beat[i], rchar = c_misc[4], schar = c_misc[5], length = pattern_length)
beat[i] = utils._safer_eval(beat[i])
while beat[i] + pattern_length*n > len(audio.beatmap)-1: beat[i] = 1 + beat[i] - len(audio.beatmap)
if beat[2] == c_slice[0]: beat = audio[beat[0] + pattern_length*n : beat[1] + pattern_length*n]
elif beat[2] == c_slice[1]: beat = audio[beat[0] - 1 + pattern_length*n: beat[0] - 1 + beat[1] + pattern_length*n]
elif beat[2] == c_slice[2]: beat = audio[beat[0] - beat[1] + pattern_length*n : beat[0] + pattern_length*n]
# No Song slice, take whole song
elif beat is None: beat = audio.audio
except IndexError as e:
print(e)
tries += 1
if tries > 30: break
continue
# Audio is an audio file
else:
# No audio slice, takes whole audio
if beat is None: beat = audio
# Audio slice, takes part of the audio
elif isinstance(beat, list):
audio_length = len(audio[0])
beat = [min(int(utils._safer_eval(beat[0])*audio_length), audio_length-1), min(int(utils._safer_eval(beat[1])*audio_length), audio_length-1)]
if beat[0] > beat[1]:
beat[0], beat[1] = beat[1], beat[0]
step = -1
else: step = None
beat = audio[:, beat[0] : beat[1] : step]
# Audio is a beat
else:
try:
beat_str = beat if isinstance(beat, str) else ''.join(beat)
# Takes a single beat
if isinstance(beat, str):
if c_misc[4] in beat: beat = parse._random(beat, rchar = c_misc[4], schar = c_misc[5], length = pattern_length)
beat = self[utils._safer_eval(beat) + pattern_length*n]
# Takes a range of beats
elif isinstance(beat, list):
beat = beat.copy()
for i in range(len(beat)-1): # no separator
if c_misc[4] in beat[i]: beat[i] = parse._random(beat[i], rchar = c_misc[4], schar = c_misc[5], length = pattern_length)
beat[i] = utils._safer_eval(beat[i])
if beat[2] == c_slice[0]: beat = self[beat[0] + pattern_length*n : beat[1] + pattern_length*n]
elif beat[2] == c_slice[1]: beat = self[beat[0] - 1 + pattern_length*n: beat[0] - 1 + beat[1] + pattern_length*n]
elif beat[2] == c_slice[2]: beat = self[beat[0] - beat[1] + pattern_length*n : beat[0] + pattern_length*n]
# create a variable if `%` in beat
if c_misc[7] in beat_str: metric = parse._metric_get(beat_str, beat, metrics, c_misc[7])
except IndexError:
tries += 1
if tries > 30: break
continue
if len(beat[0])<1: continue #Ignores empty beats
# Applies effects
effect = b[1]
for e in effect:
if e[0] in effects:
v = e[1]
e = effects[e[0]]
# parse effect value
if isinstance(v, str):
if metric is not None: v = parse._metric_replace(v, metric, c_misc[7])
v = utils._safer_eval(v)
# effects
if e == 'volume':
if v is None: v = 0
beat = beat * v
elif e == 'downsample':
if v is None: v = 8
beat = np.repeat(beat[:,::v], v, axis=1)
elif e == 'gradient':
beat = np.gradient(beat, axis=1)
elif e == 'reverse':
beat = beat[:,::-1]
else:
beat = e(beat, v)
# clip beat to -1, 1
beat = np.clip(beat, -1, 1)
# checks if length limit has been reached
if limit_length is not None:
total_length += len(beat[0])
if total_length>= limit_length:
stop = True
break
# Adds the processed beat to list of beats.
# Separator is `,`
if operators[num] == c_join[0]:
result.append(beat)
# Makes sure beat doesn't get added on top of previous beat multiple times when pattern is out of range of song beats, to avoid distorted end.
elif tries<2:
# Separator is `;` - always use first beat length, normalizes volume to 1.5
if operators[num] == c_join[1]:
length = len(beat[0])
prev_length = len(result[-1][0])
if length > prev_length:
result[-1] += beat[:,:prev_length]
else:
result[-1][:,:length] += beat
limit = np.max(result[-1])
if limit > 1.5:
result[-1] /= limit*0.75
# Separator is `~` - cuts to shortest
elif operators[num] == c_join[2]:
minimum = min(len(beat[0]), len(result[-1][0]))
result[-1] = beat[:,:minimum-1] + result[-1][:,:minimum-1]
# Separator is `&` - extends to longest
elif operators[num] == c_join[3]:
length = len(beat[0])
prev_length = len(result[-1][0])
if length > prev_length:
beat[:,:prev_length] += result[-1]
result[-1] = beat
else:
result[-1][:,:length] += beat
# Separator is `^` - uses first beat length and multiplies beats, used for sidechain
elif operators[num] == c_join[4]:
length = len(beat[0])
prev_length = len(result[-1][0])
if length > prev_length:
result[-1] *= beat[:,:prev_length]
else:
result[-1][:,:length] *= beat
# Separator is `$` - always use first beat length, additionally sidechains first beat by second
elif operators[num] == c_join[5]:
from . import effects
length = len(beat[0])
prev_length = len(result[-1][0])
if length > prev_length:
result[-1] *= effects.to_sidechain(beat[:,:prev_length])
result[-1] += beat[:,:prev_length]
else:
result[-1][:,:length] *= effects.to_sidechain(beat)
result[-1][:,:length] += beat
# Separator is `}` - always use first beat length
elif operators[num] == c_join[6]:
length = len(beat[0])
prev_length = len(result[-1][0])
if length > prev_length:
result[-1] += beat[:,:prev_length]
else:
result[-1][:,:length] += beat
# smoothing
for i in range(len(result)-1):
current1 = result[i][0][-2]
current2 = result[i][0][-1]
following1 = result[i+1][0][0]
following2 = result[i+1][0][1]
num = (abs(following1 - (current2 + (current2 - current1))) + abs(current2 - (following1 + (following1 - following2))))/2
if num > 0.0:
num = int(smoothing*num)
if num>3:
try:
line = scipy.interpolate.CubicSpline([0, num+1], [0, following1], bc_type='clamped')(np.arange(0, num, 1))
#print(line)
line2 = np.linspace(1, 0, num)**0.5
result[i][0][-num:] *= line2
result[i][1][-num:] *= line2
result[i][0][-num:] += line
result[i][1][-num:] += line
except (IndexError, ValueError): pass
self.beatmap = beatmap_default.copy()
# Beats are conjoined into a song
import functools
import operator
# Makes a [l, r, l, r, ...] list of beats (left and right channels)
result = functools.reduce(operator.iconcat, result, [])
# Every first beat is conjoined into left channel, every second beat is conjoined into right channel
if return_audio is False: self.audio = np.array([functools.reduce(operator.iconcat, result[::2], []), functools.reduce(operator.iconcat, result[1:][::2], [])])
else: return np.array([functools.reduce(operator.iconcat, result[::2], []), functools.reduce(operator.iconcat, result[1:][::2], [])])
def normalize_beats(self):
if self.normalized is not None:
if ',' in self.normalized:
self.beatswap(pattern = self.normalized)
else:
from . import presets
self.beatswap(*presets.get(self.normalized))
def image_generate(self, scale=1, shift=0, mode = 'median'):
if self.beatmap is None: self.beatmap_generate()
beatmap_default = self.beatmap.copy()
self.beatmap_shift(shift)
self.beatmap_scale(scale)
from .image import generate as image_generate
self.image = image_generate(song = self, mode = mode, log = self.log)
self.beatmap = beatmap_default.copy()
def image_write(self, output='', mode = 'color', max_size = 4096, ext = 'png', rotate=True, suffix = ''):
from .image import write as image_write
output = io._outputfilename(output, self.path, ext=ext, suffix = suffix)
image_write(self.image, output = output, mode = mode, max_size = max_size , rotate = rotate)
return output
def beatswap(audio = None, pattern = 'test', scale = 1, shift = 0, length = None, sr = None, output = '', log = True, suffix = ' (beatswap)', copy = True):
if not isinstance(audio, song): audio = song(audio = audio, sr = sr, log = log)
elif copy is True:
beatmap = audio.beatmap
path = audio.path
audio = song(audio = audio.audio, sr = audio.sr)
audio.beatmap = beatmap
audio.path = path
audio.beatswap(pattern = pattern, scale = scale, shift = shift, length = length)
if output is not None:
return audio.write(output = output, suffix = suffix)
else: return audio
def image(audio, scale = 1, shift = 0, sr = None, output = '', log = True, suffix = '', max_size = 4096):
if not isinstance(audio, song): audio = song(audio = audio, sr = sr, log = log)
audio.image_generate(scale = scale, shift = shift)
if output is not None:
return audio.image_write(output = output, max_size=max_size, suffix=suffix)
else: return audio.image |