| 1379 | |
| 1380 | template <typename Tag> |
| 1381 | NPY_NO_EXPORT int |
| 1382 | string_timsort_(void *start, npy_intp num, void *varr) |
| 1383 | { |
| 1384 | using type = typename Tag::type; |
| 1385 | PyArrayObject *arr = reinterpret_cast<PyArrayObject *>(varr); |
| 1386 | size_t elsize = PyArray_ITEMSIZE(arr); |
| 1387 | size_t len = elsize / sizeof(type); |
| 1388 | int ret; |
| 1389 | npy_intp l, n, stack_ptr, minrun; |
| 1390 | run stack[TIMSORT_STACK_SIZE]; |
| 1391 | string_buffer_<Tag> buffer; |
| 1392 | |
| 1393 | /* Items that have zero size don't make sense to sort */ |
| 1394 | if (len == 0) { |
| 1395 | return 0; |
| 1396 | } |
| 1397 | |
| 1398 | buffer.pw = NULL; |
| 1399 | buffer.size = 0; |
| 1400 | buffer.len = len; |
| 1401 | stack_ptr = 0; |
| 1402 | minrun = compute_min_run_short(num); |
| 1403 | /* used for insertion sort and gallop key */ |
| 1404 | ret = resize_buffer_<Tag>(&buffer, 1); |
| 1405 | |
| 1406 | if (NPY_UNLIKELY(ret < 0)) { |
| 1407 | goto cleanup; |
| 1408 | } |
| 1409 | |
| 1410 | for (l = 0; l < num;) { |
| 1411 | n = count_run_<Tag>((type *)start, l, num, minrun, buffer.pw, len); |
| 1412 | /* both s and l are scaled by len */ |
| 1413 | stack[stack_ptr].s = l; |
| 1414 | stack[stack_ptr].l = n; |
| 1415 | ++stack_ptr; |
| 1416 | ret = try_collapse_<Tag>((type *)start, stack, &stack_ptr, &buffer, |
| 1417 | len); |
| 1418 | |
| 1419 | if (NPY_UNLIKELY(ret < 0)) { |
| 1420 | goto cleanup; |
| 1421 | } |
| 1422 | |
| 1423 | l += n; |
| 1424 | } |
| 1425 | |
| 1426 | ret = force_collapse_<Tag>((type *)start, stack, &stack_ptr, &buffer, len); |
| 1427 | |
| 1428 | if (NPY_UNLIKELY(ret < 0)) { |
| 1429 | goto cleanup; |
| 1430 | } |
| 1431 | |
| 1432 | ret = 0; |
| 1433 | |
| 1434 | cleanup: |
| 1435 | if (buffer.pw != NULL) { |
| 1436 | free(buffer.pw); |
| 1437 | } |
| 1438 | return ret; |
nothing calls this directly
no test coverage detected