| 445 | #endif |
| 446 | for (int64_t ch = 0; ch < channels; ++ch) { |
| 447 | float * dst = output_planar.data() + static_cast<size_t>(ch * spec.chunk_samples); |
| 448 | for (int64_t i = 0; i < spec.chunk_samples; ++i) { |
| 449 | int64_t src_frame = span.copy_start_sample + i; |
| 450 | if (src_frame < 0 || src_frame >= input_frames) { |
| 451 | if (!reflect) { |
| 452 | continue; |
| 453 | } |
| 454 | src_frame = reflect_index(src_frame, input_frames); |
| 455 | } |
| 456 | dst[i] = input_interleaved[static_cast<size_t>(src_frame * channels + ch)]; |
| 457 | } |
| 458 | } |
| 459 | } |
| 460 | |
| 461 | void copy_planar_chunk( |
| 462 | std::vector<float> & output_planar, |
| 463 | const std::vector<float> & input_planar, |
| 464 | int64_t lanes, |
| 465 | int64_t input_frames, |
| 466 | const AudioChunkSpan & span, |
| 467 | const AudioChunkSpec & spec) { |
| 468 | validate_copy_shape(input_planar, lanes, input_frames, output_planar, spec); |
| 469 | std::fill(output_planar.begin(), output_planar.end(), 0.0F); |
| 470 | const bool reflect = should_reflect_pad(span, spec); |
| 471 | #ifdef _OPENMP |
| 472 | #pragma omp parallel for if(lanes >= 2) |
| 473 | #endif |
| 474 | for (int64_t lane = 0; lane < lanes; ++lane) { |
| 475 | float * dst = output_planar.data() + static_cast<size_t>(lane * spec.chunk_samples); |
| 476 | const float * src = input_planar.data() + static_cast<size_t>(lane * input_frames); |
| 477 | for (int64_t i = 0; i < spec.chunk_samples; ++i) { |
| 478 | int64_t src_frame = span.copy_start_sample + i; |