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fix clippy warnings for update to rustc 1.46
[nihav.git] / nihav-qt / src / codecs / qdm2qmf.rs
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4c1582cf
KS		 1use nihav_core::codecs::*;
2use nihav_core::io::codebook::*;
3use nihav_codec_support::dsp::qmf::QMF;
4use super::qdmcommon::*;
5use super::qdm2::TONE_SCALES;
6
7const MAX_BANDS: usize = 30;
8
9const NOISE_TAB_LEN: usize = 3840;
10
11struct NoiseGen {
12 noise_tab: [f32; NOISE_TAB_LEN],
13 idx: usize,
14}
15
16impl NoiseGen {
17 fn new() -> Self {
18 let mut noise_tab = [0.0; NOISE_TAB_LEN];
19 let mut rnd = RNG::new();
20 for el in noise_tab.iter_mut() {
21 *el = rnd.next_float() * 1.3;
22 }
23
24 Self { noise_tab, idx: 0 }
25 }
26 fn next(&mut self, band: usize) -> f32 {
27 let ret = self.noise_tab[self.idx];
28 self.idx += 1;
29 if self.idx >= NOISE_TAB_LEN {
30 self.idx -= NOISE_TAB_LEN;
31 }
32 ret * SB_NOISE_ATTENUATION[band]
33 }
34}
35
36struct Tables {
37 noise_samples: [f32; 128],
38 mod3: [[u8; 5]; 243],
39 mod5: [[u8; 3]; 125],
40}
41
42impl Tables {
43 fn new() -> Self {
44 let mut noise_samples = [0.0; 128];
45 let mut rnd = RNG::new();
46 for el in noise_samples.iter_mut() {
47 *el = rnd.next_float();
48 }
49
50 let mut mod3 = [[0u8; 5]; 243];
51 for (i, row) in mod3.iter_mut().enumerate() {
52 let mut base = 81u8;
53 let mut low = i as u8;
54 for el in row.iter_mut() {
55 *el = low / base;
56 low %= base;
57 base /= 3;
58 }
59 }
60
61 let mut mod5 = [[0u8; 3]; 125];
62 for (i, row) in mod5.iter_mut().enumerate() {
63 let mut base = 25u8;
64 let mut low = i as u8;
65 for el in row.iter_mut() {
66 *el = low / base;
67 low %= base;
68 base /= 5;
69 }
70 }
71
72 Self {
73 noise_samples, mod3, mod5,
74 }
75 }
76}
77
78struct Codebooks {
79 level_cb: Codebook<u8>,
80 level_diff_cb: Codebook<u8>,
81 run_cb: Codebook<u8>,
82 tone_idx_mid_cb: Codebook<u8>,
83 tone_idx_high1_cb: Codebook<u8>,
84 tone_idx_high2_cb: Codebook<u8>,
85 type30_codes_cb: Codebook<u8>,
86 type34_codes_cb: Codebook<u8>,
87}
88
89fn map_idx(idx: usize) -> u8 { idx as u8 }
90
91macro_rules! create_codebook {
92 ($codes: expr, $bits: expr) => ({
93 let mut cbr = TableCodebookDescReader::new($codes, $bits, map_idx);
94 Codebook::new(&mut cbr, CodebookMode::LSB).unwrap()
95 })
96}
97
98impl Codebooks {
99 fn new() -> Self {
100 let level_cb = create_codebook!(LEVEL_CODES, LEVEL_BITS);
101 let level_diff_cb = create_codebook!(LEVEL_DIFF_CODES, LEVEL_DIFF_BITS);
102 let run_cb = create_codebook!(RUN_CODES, RUN_BITS);
103
104 let tone_idx_mid_cb = create_codebook!(TONE_IDX_MID_CODES, TONE_IDX_MID_BITS);
105 let tone_idx_high1_cb = create_codebook!(TONE_IDX_HIGH1_CODES, TONE_IDX_HIGH1_BITS);
106 let tone_idx_high2_cb = create_codebook!(TONE_IDX_HIGH2_CODES, TONE_IDX_HIGH2_BITS);
107
108 let type30_codes_cb = create_codebook!(TYPE30_CODES, TYPE30_BITS);
109 let type34_codes_cb = create_codebook!(TYPE34_CODES, TYPE34_BITS);
110 Self {
111 level_cb, level_diff_cb, run_cb,
112 tone_idx_mid_cb, tone_idx_high1_cb, tone_idx_high2_cb,
113 type30_codes_cb, type34_codes_cb,
114 }
115 }
116}
117
118pub struct QDM2QMF {
119 qmf: [QMF; 2],
120 cbs: Codebooks,
121 tables: Tables,
122 noisegen: NoiseGen,
123
124 pub is_intra: bool,
125
126 num_bands: usize,
127 subsampling: u8,
128 cm_selector: usize,
129 coef_per_sb_sel: usize,
130 channels: usize,
131
132 grid_2_quant: [[[i8; 8]; 10]; 2],
133 grid_1_quant: [[[[i8; 8]; 8]; 3]; 2],
134 grid_3_quant: [[i8; MAX_BANDS]; 2],
135 tone_idx_mid: [[[i8; 8]; MAX_BANDS]; 2],
136 tone_idx_base: [[[i8; 8]; MAX_BANDS]; 2],
137 tone_idx: [[[i8; 64]; MAX_BANDS]; 2],
138 quant_weight: [[[u8; 64]; MAX_BANDS]; 2],
139 sb_samples: [[[f32; 32]; 128]; 2],
140 tone_scale: [[[f32; 64]; MAX_BANDS]; 2],
141}
142
143impl QDM2QMF {
144 pub fn new() -> Self {
145 Self {
146 qmf: [QMF::new(), QMF::new()],
147 cbs: Codebooks::new(),
148 tables: Tables::new(),
149 noisegen: NoiseGen::new(),
150
151 num_bands: 0,
152 subsampling: 0,
153 cm_selector: 0,
154 coef_per_sb_sel: 0,
155 channels: 0,
156 is_intra: false,
157
158 grid_2_quant: [[[0; 8]; 10]; 2],
159 grid_1_quant: [[[[0; 8]; 8]; 3]; 2],
160 grid_3_quant: [[0; MAX_BANDS]; 2],
161 tone_idx_mid: [[[0; 8]; MAX_BANDS]; 2],
162 tone_idx_base: [[[0; 8]; MAX_BANDS]; 2],
163 tone_idx: [[[0; 64]; MAX_BANDS]; 2],
164 quant_weight: [[[0; 64]; MAX_BANDS]; 2],
165 sb_samples: [[[0.0; 32]; 128]; 2],
166 tone_scale: [[[0.0; 64]; MAX_BANDS]; 2],
167 }
168 }
169 pub fn set_ch_and_subsampling(&mut self, channels: usize, subsampling: u8, full_bitrate: u32) {
170 self.channels = channels;
171 self.subsampling = subsampling;
172 self.num_bands = (8 << self.subsampling).min(MAX_BANDS);
173
174 let br = match self.subsampling * 2 + (channels as u8) - 1 {
175 0 => 40,
176 1 => 48,
177 2 => 56,
178 3 => 72,
179 4 => 80,
180 5 => 100,
181 _ => unreachable!(),
182 };
183 self.cm_selector = if br * 1000 < full_bitrate {
184 1
185 } else if br * 1440 < full_bitrate {
186 2
187 } else if br * 1760 < full_bitrate {
188 3
189 } else if br * 2240 < full_bitrate {
190 4
191 } else {
192 0
193 };
194 self.coef_per_sb_sel = if full_bitrate <= 8000 { 0 } else if full_bitrate < 16000 { 1 } else { 2 };
195 }
196 fn average_grid_quants(&mut self) {
197 let ncoef = (COEFFS_PER_SB_AVG[self.coef_per_sb_sel][self.subsampling as usize] as usize) + 1;
198 for ch in 0..self.channels {
199 for i in 0..ncoef {
200 let mut sum = 0;
201 for el in self.grid_2_quant[ch][i].iter() {
202 sum += i16::from(*el);
203 }
204 sum /= 8;
205 if sum > 0 {
206 sum -= 1;
207 }
208 self.grid_2_quant[ch][i] = [sum as i8; 8];
209 }
210 }
211 }
212 fn read_array(br: &mut QdmBitReader, dst: &mut [i8; 8], codebooks: &Codebooks) -> DecoderResult<()> {
213 if br.left() < 15 { return Ok(()); }
214 let mut last = br.read_code(&codebooks.level_cb)? as i32;
215 dst[0] = last as i8;
216 let mut idx = 1;
217 while idx < 8 {
218 let len = (br.read_code(&codebooks.run_cb)? as usize) + 1;
219 let diff = br.read_code(&codebooks.level_diff_cb)? as i32;
220 let diff = to_signed(diff);
221 let val = last + diff;
222 validate!(len + idx <= 8);
223 for i in 1..=len {
224 dst[idx] = (last + (i as i32) * diff / (len as i32)) as i8;
225 idx += 1;
226 }
227 last = val;
228 }
229 Ok(())
230 }
231 pub fn read_type_9(&mut self, br: &mut QdmBitReader) -> DecoderResult<()> {
232 let nbands = (COEFFS_PER_SB_AVG[self.coef_per_sb_sel][self.subsampling as usize] as usize) + 1;
233 for i in 1..nbands {
234 for ch in 0..self.channels {
235 Self::read_array(br, &mut self.grid_2_quant[ch][i], &self.cbs)?;
236 }
237 }
238 for ch in 0..self.channels {
239 self.grid_2_quant[ch][0] = [0; 8];
240 }
241 Ok(())
242 }
243 pub fn read_type_10(&mut self, br: &mut QdmBitReader) -> DecoderResult<()> {
244 for ch in 0..self.channels {
245 let _ret = Self::read_array(br, &mut self.grid_2_quant[ch][0], &self.cbs);
246 if br.left() < 16 {
247 self.grid_2_quant[ch][0] = [0; 8];
248 break;
249 }
250 }
251
252 let n = (self.subsampling as usize) + 1;
253 for band in 0..n {
254 for ch in 0..self.channels {
255 for i in 0..8 {
256 if br.read_bool() {
257 for el in self.grid_1_quant[ch][band][i].iter_mut() {
258 *el = br.read_code(&self.cbs.tone_idx_high1_cb)? as i8;
259 }
260 } else {
261 self.grid_1_quant[ch][band][i] = [0; 8];
262 }
263 }
264 }
265 }
266 for band in 0..self.num_bands - 4 {
267 for ch in 0..self.channels {
268 if br.left() < 16 { break; }
269 self.grid_3_quant[ch][band] = br.read_code(&self.cbs.tone_idx_high2_cb)? as i8;
270 if band > 19 {
271 self.grid_3_quant[ch][band] -= 16;
272 } else {
273 self.tone_idx_mid[ch][band] = [-16; 8];
274 }
275 }
276 }
277 for band in 0..self.num_bands - 5 {
278 for ch in 0..self.channels {
279 for i in 0..8 {
280 if br.left() < 16 { break; }
281 self.tone_idx_mid[ch][band][i] = (br.read_code(&self.cbs.tone_idx_mid_cb)? as i8) - 32;
282 }
283 }
284 }
285
286 self.set_tone_scales(true);
287 Ok(())
288 }
289 fn inc_quant_weight(&mut self, band: usize) -> bool {
290 let rlen = 128 / self.channels;
291 for ch in 0..self.channels {
292 let mut idx = 0;
293 while idx < rlen {
294 if self.quant_weight[ch][band][idx] < 8 {
295 return false;
296 }
297 let (val, run) = match self.quant_weight[ch][band][idx] {
298 8 => (10, 16),
299 10 => (16, 1),
300 16 => (24, 5),
301 24 => (30, 3),
302 30 => (30, 1),
303 _ => (8, 1),
304 };
305 let len = run.min(rlen - idx);
306 let ref_val = self.quant_weight[ch][band][idx];
307 for _ in 0..len {
308 if self.quant_weight[ch][band + idx / 64][idx % 64] > ref_val {
309 self.quant_weight[ch][band][idx] = val;
310unimplemented!();
311 }
312 idx += 1;
313 }
314 }
315 }
316 true
317 }
318 fn set_tone_scales(&mut self, has_data: bool) {
319 const LAST_COEFF: [usize; 3] = [ 4, 7, 10 ];
320
321 let csel = self.coef_per_sb_sel;
322 for ch in 0..self.channels {
323 for band in 0..MAX_BANDS {
324 for i in 0..8 {
325 let csb = COEFFS_PER_SB_DEQUANT[csel][band] as usize;
326 let mut q = i32::from(self.grid_2_quant[ch][csb][i]) * i32::from(DEQUANT[csel][csb][band]);
327 if csb < LAST_COEFF[csel] - 1 {
328 q += i32::from(self.grid_2_quant[ch][csb + 1][i]) * i32::from(DEQUANT[csel][csb + 1][band]);
329 }
330 if q < 0 {
331 q += 255;
332 }
333 self.tone_idx_base[ch][band][i] = (q / 256) as i8;
334 }
335 }
336 }
337 if !self.is_intra && !has_data {
338 for band in 0..self.num_bands {
339 for ch in 0..self.channels {
340 for i in 0..64 {
341 self.tone_idx[ch][band][i] = self.tone_idx[ch][band][i / 8];
342 if self.tone_idx[ch][band][i] >= 0 {
343 self.tone_scale[ch][band][i] = TONE_SCALES[0][(self.tone_idx[ch][band][i] & 0x3F) as usize];
344 } else {
345 self.tone_scale[ch][band][i] = 0.0;
346 }
347 }
348 }
349 }
350 } else {
351 for band in 0..self.num_bands {
352 for ch in 0..self.channels {
353 for i in 0..64 {
354 let mut q = self.tone_idx_base[ch][band][i / 8];
355 if band >= 4 {
356 q = q.wrapping_sub(self.grid_1_quant[ch][(band / 8).min(2)][i / 8][i % 8]);
357 if band < 24 {
358 q = q.wrapping_sub(self.tone_idx_mid[ch][band - 4][i / 8]);
359 }
360 q = q.wrapping_sub(self.grid_3_quant[ch][band - 4]);
361 }
362 self.tone_idx[ch][band][i] = q as i8;
363 if q > 0 || (self.is_intra && q == 0) {
364 self.tone_scale[ch][band][i] = TONE_SCALES[0][(q & 0x3F) as usize];
365 } else {
366 self.tone_scale[ch][band][i] = 0.0;
367 }
368 }
369 }
370 }
371 }
372 }
b7c882c1 373 #[allow(clippy::cognitive_complexity)]
4c1582cf
KS		 374 fn read_noise_band(&mut self, br: &mut QdmBitReader, ch: usize, band: usize, samples: &mut [f32; 10], signs: &[bool; 16], jstereo: bool) -> DecoderResult<()> {
375 let mut type34_first = true;
376 let mut type34_pred = 0.0;
377 let mut type34_scale = 0.0;
378 let zero_coding = br.read_bool();
379 let mut idx = 0;
380 while idx < 128 {
381 let len;
382 match self.quant_weight[ch][band][idx / 2] {
383 8 => {
384 if br.left() >= 10 {
385 if zero_coding {
386 for i in 0..5 {
387 if idx + i * 2 >= 128 { break; }
388 samples[i * 2] = if br.read_bool() {
389 let ix = (br.read(1) as usize) * 2;
390 QUANT_1BIT[jstereo as usize][ix]
391 } else { 0.0 };
392 }
393 } else {
394 let idx = br.read(8) as usize;
395 validate!(idx < self.tables.mod3.len());
396 for i in 0..5 {
237cc1f9 397 let k = self.tables.mod3[idx][i] as usize;
4c1582cf
KS		 398 samples[i * 2] = QUANT_1BIT[jstereo as usize][k];
399 }
400 }
401 for el in samples.chunks_mut(2) {
402 el[1] = self.noisegen.next(band);
403 }
404 } else {
405 for el in samples.iter_mut() {
406 *el = self.noisegen.next(band);
407 }
408 }
409 len = 10;
410 },
411 10 => {
412 if br.left() > 0 {
413 let mut scale = if br.read_bool() { -0.81 } else { 0.81 };
414 scale -= self.tables.noise_samples[((band + 1) * (idx + 5 * ch + 1)) & 0x7F] * 9.0 / 40.0;
415 samples[0] = scale;
416 } else {
417 samples[0] = self.noisegen.next(band);
418 }
419 len = 1;
420 },
421 16 => {
422 if br.left() >= 10 {
423 if zero_coding {
424 for i in 0..5 {
425 if idx + i >= 128 { break; }
426 samples[i] = if br.read_bool() {
427 let ix = (br.read(1) as usize) * 2;
428 QUANT_1BIT[jstereo as usize][ix]
429 } else { 0.0 };
430 }
431 } else {
432 let idx = br.read(8) as usize;
433 validate!(idx < self.tables.mod3.len());
434 for i in 0..5 {
237cc1f9 435 let k = self.tables.mod3[idx][i] as usize;
4c1582cf
KS		 436 samples[i] = QUANT_1BIT[jstereo as usize][k];
437 }
438 }
439 } else {
440 for el in samples.iter_mut().take(5) {
441 *el = self.noisegen.next(band);
442 }
443 }
444 len = 5;
445 },
446 24 => {
447 if br.left() >= 7 {
448 let idx = br.read(7) as usize;
449 validate!(idx < self.tables.mod5.len());
450 for i in 0..3 {
237cc1f9 451 let k = self.tables.mod5[idx][i] as usize;
4c1582cf
KS		 452 samples[i] = ((k as f32) - 2.0) * 0.5;
453 }
454 } else {
455 for el in samples.iter_mut().take(3) {
456 *el = self.noisegen.next(band);
457 }
458 }
459 len = 3;
460 },
461 30 => {
462 if br.left() >= 4 {
463 let idx = br.read_code(&self.cbs.type30_codes_cb).unwrap_or(99) as usize;
464 if idx < QUANT_TYPE30.len() - 1 {
465 samples[0] = QUANT_TYPE30[idx];
466 } else {
467 samples[0] = self.noisegen.next(band);
468 }
469 } else {
470 samples[0] = self.noisegen.next(band);
471 }
472 len = 1;
473 },
474 34 => {
475 if br.left() >= 7 {
476 if type34_first {
477 type34_first = false;
478 type34_scale = 1.0 / ((1 << br.read(2)) as f32);
479 type34_pred = ((br.read(5) as f32) - 16.0) / 15.0;
480 samples[0] = type34_pred;
481 } else {
482 let idx = br.read_code(&self.cbs.type34_codes_cb).unwrap_or(99) as usize;
483 if idx < TYPE34_DIFF.len() - 1 {
484 samples[0] = type34_pred + TYPE34_DIFF[idx] * type34_scale;
485 type34_pred = samples[0];
486 } else {
487 samples[0] = self.noisegen.next(band);
488 }
489 }
490 } else {
491 samples[0] = self.noisegen.next(band);
492 }
493 len = 1;
494 },
495 _ => {
496 len = 1;
497 },
498 };
499 let llen = len.min(128 - idx);
500 if !jstereo {
501 for samp in samples.iter().take(llen) {
502 self.sb_samples[ch][idx][band] = self.tone_scale[ch][band][idx / 2] * *samp;
503 idx += 1;
504 }
505 } else {
506 for samp in samples.iter().take(llen) {
507 self.sb_samples[0][idx][band] = self.tone_scale[0][band][idx / 2] * *samp;
508 if self.channels == 2 {
509 let sample = if signs[idx / 8] { -*samp } else { *samp };
510 self.sb_samples[1][idx][band] = self.tone_scale[1][band][idx / 2] * sample;
511 }
512 idx += 1;
513 }
514 }
515 }
516 Ok(())
517 }
518 fn read_band_data(&mut self, br: &mut QdmBitReader, start: usize, end: usize) -> DecoderResult<()> {
519 let mut samples = [0.0f32; 10];
520 let mut signs = [false; 16];
521 for band in start..end {
522 let jstereo = if self.channels == 1 || band < 12 {
523 false
524 } else if band >= 24 {
525 true
526 } else {
527 br.read_bool()
528 };
529 if jstereo {
530 if br.left() >= 16 {
531 for el in signs.iter_mut() {
532 *el = br.read_bool();
533 }
534 }
535 for i in 0..64 {
536 self.quant_weight[0][band][i] = self.quant_weight[0][band][i].max(self.quant_weight[1][band][i]);
537 }
538 if !self.inc_quant_weight(band) {
539 self.fill_noise(band);
540 continue;
541 }
542 }
543
544 let band_chan = if jstereo { 1 } else { self.channels };
545 for ch in 0..band_chan {
546 self.read_noise_band(br, ch, band, &mut samples, &signs, jstereo)?;
547 }
548 }
549 Ok(())
550 }
551 fn fill_noise(&mut self, band: usize) {
552 for ch in 0..self.channels {
553 for i in 0..128 {
554 self.sb_samples[ch][i][band] = self.noisegen.next(band) * self.tone_scale[ch][band][i / 2];
555 }
556 }
557 }
558 pub fn read_type_11(&mut self, br: &mut QdmBitReader) -> DecoderResult<()> {
559 if br.left() >= 32 {
560 let c = br.read(13);
561 if c > 3 {
562 if self.is_intra {
563 for ch in 0..self.channels {
564 for band in 0..MAX_BANDS {
565 let sb = QUANT_WEIGHT[self.cm_selector][band];
566 self.quant_weight[ch][band] = [sb; 64];
567 }
568 }
569 } else {
570unimplemented!();
571 }
572 }
573 }
574 self.read_band_data(br, 0, 8)?;
575 Ok(())
576 }
577 pub fn read_type_12(&mut self, br: &mut QdmBitReader) -> DecoderResult<()> {
578 self.read_band_data(br, 8, self.num_bands)?;
579 Ok(())
580 }
581 pub fn fill_default(&mut self, id: u8) {
582 match id {
583 10 => {
584 self.set_tone_scales(false);
585 },
586 11 => {
587 for band in 0..8 {
588 self.fill_noise(band);
589 }
590 },
591 12 => {
592 for band in 8..self.num_bands {
593 self.fill_noise(band);
594 }
595 },
596 _ => {},
597 };
598 }
599 pub fn new_frame(&mut self) {
600 self.grid_1_quant = [[[[0; 8]; 8]; 3]; 2];
601 self.grid_3_quant = [[0; MAX_BANDS]; 2];
602 self.tone_idx_mid = [[[0; 8]; MAX_BANDS]; 2];
603 self.average_grid_quants();
604 }
605 pub fn synth(&mut self, dst: &mut [f32], sf: usize, ch: usize) {
606 let mut osamps = [0.0f32; 32 * 8];
607 let ssamp = 4 >> self.subsampling;
608 for (i, out) in osamps.chunks_mut(32).enumerate() {
609 self.qmf[ch].synth(&self.sb_samples[ch][sf * 8 + i], out);
610 }
611 let scale = 1.0 / ((1 << self.subsampling) as f32);
612 for (src, dst) in osamps.chunks(ssamp).zip(dst.iter_mut()) {
613 *dst += src[0] * scale;
614 }
615 }
616 pub fn flush(&mut self) {
617 for qmf in self.qmf.iter_mut() {
618 qmf.reset();
619 }
620 }
621}
622
623const LEVEL_CODES: &[u16; 24] = &[
624 0x37C, 0x004, 0x03C, 0x04C, 0x03A, 0x02C, 0x01C, 0x01A,
625 0x024, 0x014, 0x001, 0x002, 0x000, 0x003, 0x007, 0x005,
626 0x006, 0x008, 0x009, 0x00A, 0x00C, 0x0FC, 0x07C, 0x17C
627];
628const LEVEL_BITS: &[u8; 24] = &[
629 10, 6, 7, 7, 6, 6, 6, 6, 6, 5, 4, 4, 4, 3, 3, 3,
630 3, 4, 4, 5, 7, 8, 9, 10
631];
632
633const LEVEL_DIFF_CODES: &[u16; 37] = &[
634 0x1C57, 0x0004, 0x0000, 0x0001, 0x0003, 0x0002, 0x000F, 0x000E,
635 0x0007, 0x0016, 0x0037, 0x0027, 0x0026, 0x0066, 0x0006, 0x0097,
636 0x0046, 0x01C6, 0x0017, 0x0786, 0x0086, 0x0257, 0x00D7, 0x0357,
637 0x00C6, 0x0386, 0x0186, 0x0000, 0x0157, 0x0C57, 0x0057, 0x0000,
638 0x0B86, 0x0000, 0x1457, 0x0000, 0x0457
639];
640const LEVEL_DIFF_BITS: &[u8; 37] = &[
641 13, 3, 3, 2, 3, 3, 4, 4, 6, 5, 6, 6, 7, 7, 8, 8,
642 8, 9, 8, 11, 9, 10, 8, 10, 9, 12, 10, 0, 10, 13, 11, 0,
643 12, 0, 13, 0, 13
644];
645
646const RUN_CODES: &[u8; 6] = &[ 0x1F, 0x00, 0x01, 0x03, 0x07, 0x0F ];
647const RUN_BITS: &[u8; 6] = &[ 5, 1, 2, 3, 4, 5 ];
648
649const TONE_IDX_HIGH1_CODES: &[u16; 20] = &[
650 0x5714, 0x000C, 0x0002, 0x0001, 0x0000, 0x0004, 0x0034, 0x0054,
651 0x0094, 0x0014, 0x0114, 0x0214, 0x0314, 0x0614, 0x0E14, 0x0F14,
652 0x2714, 0x0714, 0x1714, 0x3714
653];
654const TONE_IDX_HIGH1_BITS: &[u8; 20] = &[
655 15, 4, 2, 1, 3, 5, 6, 7, 8, 10, 10, 11, 11, 12, 12, 12, 14, 14, 15, 14
656];
657
658const TONE_IDX_HIGH2_CODES: &[u16; 24] = &[
659 0x0664, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0064, 0x00E4,
660 0x00A4, 0x0068, 0x0004, 0x0008, 0x0014, 0x0018, 0x0000, 0x0001,
661 0x0002, 0x0003, 0x000C, 0x0028, 0x0024, 0x0164, 0x0000, 0x0264
662];
663const TONE_IDX_HIGH2_BITS: &[u8; 24] = &[
664 11, 0, 0, 0, 0, 0, 10, 8, 8, 7, 6, 6, 5, 5, 4, 2, 2, 2, 4, 7, 8, 9, 0, 11
665];
666
667const TONE_IDX_MID_CODES: &[u16; 24] = &[
668 0x0FEA, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000,
669 0x0000, 0x0000, 0x0000, 0x0000, 0x03EA, 0x00EA, 0x002A, 0x001A,
670 0x0006, 0x0001, 0x0000, 0x0002, 0x000A, 0x006A, 0x01EA, 0x07EA
671];
672const TONE_IDX_MID_BITS: &[u8; 24] = &[
673 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11, 9, 7, 5,
674 3, 1, 2, 4, 6, 8, 10, 12
675];
676
677const TYPE30_CODES: &[u8; 9] = &[ 0x3C, 0x06, 0x00, 0x01, 0x03, 0x02, 0x04, 0x0C, 0x1C ];
678const TYPE30_BITS: &[u8; 9] = &[ 6, 3, 3, 2, 2, 3, 4, 5, 6 ];
679
680const TYPE34_CODES: &[u8; 10] = &[ 0x18, 0x00, 0x01, 0x04, 0x05, 0x07, 0x03, 0x02, 0x06, 0x08 ];
681const TYPE34_BITS: &[u8; 10] = &[ 5, 4, 3, 3, 3, 3, 3, 3, 3, 5 ];
682
683const SB_NOISE_ATTENUATION: [f32; 32] = [
684 0.0, 0.0, 0.3, 0.4, 0.5, 0.7, 1.0, 1.0,
685 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
686 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
687 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0
688];
689
690const QUANT_1BIT: [[f32; 3]; 2] = [[ -0.92, 0.0, 0.92 ], [ -0.89, 0.0, 0.89 ]];
691
692const QUANT_TYPE30: [f32; 8] = [
693 -1.0, -0.625, -0.291666656732559, 0.0, 0.25, 0.5, 0.75, 1.0
694];
695
696const TYPE34_DIFF: [f32; 10] = [
697 -1.0, -0.60947573184967, -0.333333343267441, -0.138071194291115, 0.0,
698 0.138071194291115, 0.333333343267441, 0.60947573184967, 1.0, 0.0
699];
700
701const DEQUANT: [[[u16; 30]; 10]; 3] = [
702 [
703 [ 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
704 [ 0, 256, 256, 205, 154, 102, 51, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
705 [ 0, 0, 0, 51, 102, 154, 205, 256, 238, 219, 201, 183, 165, 146, 128, 110, 91, 73, 55, 37, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
706 [ 0, 0, 0, 0, 0, 0, 0, 0, 18, 37, 55, 73, 91, 110, 128, 146, 165, 183, 201, 219, 238, 256, 228, 199, 171, 142, 114, 85, 57, 28 ],
707 [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
708 [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
709 [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
710 [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
711 [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
712 [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
713 ], [
714 [ 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
715 [ 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
716 [ 0, 0, 256, 171, 85, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
717 [ 0, 0, 0, 85, 171, 256, 171, 85, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
718 [ 0, 0, 0, 0, 0, 0, 85, 171, 256, 219, 183, 146, 110, 73, 37, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
719 [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 37, 73, 110, 146, 183, 219, 256, 228, 199, 171, 142, 114, 85, 57, 28, 0, 0, 0, 0, 0, 0 ],
720 [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 57, 85, 114, 142, 171, 199, 228, 256, 213, 171, 128, 85, 43 ],
721 [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
722 [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
723 [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
724 ], [
725 [ 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
726 [ 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
727 [ 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
728 [ 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
729 [ 0, 0, 0, 0, 256, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
730 [ 0, 0, 0, 0, 0, 0, 256, 171, 85, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
731 [ 0, 0, 0, 0, 0, 0, 0, 85, 171, 256, 192, 128, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
732 [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 128, 192, 256, 205, 154, 102, 51, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
733 [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51, 102, 154, 205, 256, 213, 171, 128, 85, 43, 0, 0, 0, 0, 0, 0 ],
734 [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43, 85, 128, 171, 213, 256, 213, 171, 128, 85, 43 ]
735 ]
736];
737
738/*const TONE_LEVEL_IDX_OFFSET: [[i8; 4]; 30] = [
739 [ -50, -50, 0, -50 ],
740 [ -50, -50, 0, -50 ],
741 [ -50, -9, 0, -19 ],
742 [ -16, -6, 0, -12 ],
743 [ -11, -4, 0, -8 ],
744 [ -8, -3, 0, -6 ],
745 [ -7, -3, 0, -5 ],
746 [ -6, -2, 0, -4 ],
747 [ -5, -2, 0, -3 ],
748 [ -4, -1, 0, -3 ],
749 [ -4, -1, 0, -2 ],
750 [ -3, -1, 0, -2 ],
751 [ -3, -1, 0, -2 ],
752 [ -3, -1, 0, -2 ],
753 [ -2, -1, 0, -1 ],
754 [ -2, -1, 0, -1 ],
755 [ -2, -1, 0, -1 ],
756 [ -2, 0, 0, -1 ],
757 [ -2, 0, 0, -1 ],
758 [ -1, 0, 0, -1 ],
759 [ -1, 0, 0, -1 ],
760 [ -1, 0, 0, -1 ],
761 [ -1, 0, 0, -1 ],
762 [ -1, 0, 0, -1 ],
763 [ -1, 0, 0, -1 ],
764 [ -1, 0, 0, -1 ],
765 [ -1, 0, 0, 0 ],
766 [ -1, 0, 0, 0 ],
767 [ -1, 0, 0, 0 ],
768 [ -1, 0, 0, 0 ]
769];*/
770
771const COEFFS_PER_SB_AVG: [[u8; 4]; 3] = [
772 [ 2, 3, 3, 3 ],
773 [ 4, 5, 6, 6 ],
774 [ 5, 7, 9, 9 ]
775];
776
777/*const COEFFS_PER_SB_AVG: [[u8; 30]; 3] = [
778 [ 0, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ],
779 [ 0, 1, 2, 2, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ],
780 [ 0, 1, 2, 3, 4, 4, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9 ]
781];*/
782
783const COEFFS_PER_SB_DEQUANT: [[u8; 30]; 3] = [
784 [ 0, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3 ],
785 [ 0, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6 ],
786 [ 0, 1, 2, 3, 4, 4, 5, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9 ]
787];
788
789const QUANT_WEIGHT: [[u8; 30]; 5] = [
790 [
791 34, 30, 24, 24, 16, 16, 16, 16, 10, 10, 10, 10, 10, 10, 10,
792 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10
793 ], [
794 34, 30, 24, 24, 16, 16, 16, 16, 10, 10, 10, 10, 10, 10, 10,
795 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10
796 ], [
797 34, 30, 30, 30, 24, 24, 16, 16, 16, 16, 16, 16, 10, 10, 10,
798 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10
799 ], [
800 34, 34, 30, 30, 24, 24, 24, 24, 16, 16, 16, 16, 16, 16, 16,
801 16, 16, 16, 16, 16, 16, 16, 10, 10, 10, 10, 10, 10, 10, 10
802 ], [
803 34, 34, 30, 30, 30, 30, 30, 30, 24, 24, 24, 24, 24, 24, 24,
804 24, 24, 24, 24, 24, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16
805 ]
806];
NihAV is a research multimedia framework