286     int predictor, nibble, bias;  in adpcm_ms_compress_sample()  local
288     predictor = (((c->sample1) * (c->coeff1)) +  in adpcm_ms_compress_sample()
291     nibble = sample - predictor;  in adpcm_ms_compress_sample()
300     predictor += ((nibble & 0x08) ? (nibble - 0x10) : nibble) * c->idelta;  in adpcm_ms_compress_sample()
303     c->sample1 = av_clip_int16(predictor);  in adpcm_ms_compress_sample()
318         c->predictor = 0;  in adpcm_yamaha_compress_sample()
322     delta = sample - c->predictor;  in adpcm_yamaha_compress_sample()
326     c->predictor += ((c->step * ff_adpcm_yamaha_difflookup[nibble]) / 8);  in adpcm_yamaha_compress_sample()
327     c->predictor = av_clip_int16(c->predictor);  in adpcm_yamaha_compress_sample()
371             nodes[0]->sample1 = c->predictor;  in adpcm_compress_trellis()
388                 const int predictor = ((nodes[j]->sample1 * c->coeff1) +  in adpcm_compress_trellis()  local
390                 const int div  = (sample - predictor) / step;  in adpcm_compress_trellis()
395                     int dec_sample   = predictor + nidx * step;  in adpcm_compress_trellis()
468                 const int predictor = nodes[j]->sample1;\  in adpcm_compress_trellis()
469                 const int div = (sample - predictor) * 4 / STEP_TABLE;\  in adpcm_compress_trellis()
478                     int dec_sample = predictor +\  in adpcm_compress_trellis()
533     c->predictor  = nodes[0]->sample1;  in adpcm_compress_trellis()
669                 status->prev_sample = status->predictor;  in adpcm_encode_frame()
766             int predictor = 0;  in adpcm_encode_frame()  local
767             *dst++ = predictor;  in adpcm_encode_frame()
768             c->status[i].coeff1 = ff_adpcm_AdaptCoeff1[predictor];  in adpcm_encode_frame()
769             c->status[i].coeff2 = ff_adpcm_AdaptCoeff2[predictor];  in adpcm_encode_frame()