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Auto merge of #44856 - cuviper:more-fold, r=dtolnay
Add more custom folding to `core::iter` adaptors Many of the iterator adaptors will perform faster folds if they forward to their inner iterator's folds, especially for inner types like `Chain` which are optimized too. The following types are newly specialized: | Type | `fold` | `rfold` | | ----------- | ------ | ------- | | `Enumerate` | ✓ | ✓ | | `Filter` | ✓ | ✓ | | `FilterMap` | ✓ | ✓ | | `FlatMap` | exists | ✓ | | `Fuse` | ✓ | ✓ | | `Inspect` | ✓ | ✓ | | `Peekable` | ✓ | N/A¹ | | `Skip` | ✓ | N/A² | | `SkipWhile` | ✓ | N/A¹ | ¹ not a `DoubleEndedIterator` ² `Skip::next_back` doesn't pull skipped items at all, but this couldn't be avoided if `Skip::rfold` were to call its inner iterator's `rfold`. Benchmarks ---------- In the following results, plain `_sum` computes the sum of a million integers -- note that `sum()` is implemented with `fold()`. The `_ref_sum` variants do the same on a `by_ref()` iterator, which is limited to calling `next()` one by one, without specialized `fold`. The `chain` variants perform the same tests on two iterators chained together, to show a greater benefit of forwarding `fold` internally. test iter::bench_enumerate_chain_ref_sum ... bench: 2,216,264 ns/iter (+/- 29,228) test iter::bench_enumerate_chain_sum ... bench: 922,380 ns/iter (+/- 2,676) test iter::bench_enumerate_ref_sum ... bench: 476,094 ns/iter (+/- 7,110) test iter::bench_enumerate_sum ... bench: 476,438 ns/iter (+/- 3,334) test iter::bench_filter_chain_ref_sum ... bench: 2,266,095 ns/iter (+/- 6,051) test iter::bench_filter_chain_sum ... bench: 745,594 ns/iter (+/- 2,013) test iter::bench_filter_ref_sum ... bench: 889,696 ns/iter (+/- 1,188) test iter::bench_filter_sum ... bench: 667,325 ns/iter (+/- 1,894) test iter::bench_filter_map_chain_ref_sum ... bench: 2,259,195 ns/iter (+/- 353,440) test iter::bench_filter_map_chain_sum ... bench: 1,223,280 ns/iter (+/- 1,972) test iter::bench_filter_map_ref_sum ... bench: 611,607 ns/iter (+/- 2,507) test iter::bench_filter_map_sum ... bench: 611,610 ns/iter (+/- 472) test iter::bench_fuse_chain_ref_sum ... bench: 2,246,106 ns/iter (+/- 22,395) test iter::bench_fuse_chain_sum ... bench: 634,887 ns/iter (+/- 1,341) test iter::bench_fuse_ref_sum ... bench: 444,816 ns/iter (+/- 1,748) test iter::bench_fuse_sum ... bench: 316,954 ns/iter (+/- 2,616) test iter::bench_inspect_chain_ref_sum ... bench: 2,245,431 ns/iter (+/- 21,371) test iter::bench_inspect_chain_sum ... bench: 631,645 ns/iter (+/- 4,928) test iter::bench_inspect_ref_sum ... bench: 317,437 ns/iter (+/- 702) test iter::bench_inspect_sum ... bench: 315,942 ns/iter (+/- 4,320) test iter::bench_peekable_chain_ref_sum ... bench: 2,243,585 ns/iter (+/- 12,186) test iter::bench_peekable_chain_sum ... bench: 634,848 ns/iter (+/- 1,712) test iter::bench_peekable_ref_sum ... bench: 444,808 ns/iter (+/- 480) test iter::bench_peekable_sum ... bench: 317,133 ns/iter (+/- 3,309) test iter::bench_skip_chain_ref_sum ... bench: 1,778,734 ns/iter (+/- 2,198) test iter::bench_skip_chain_sum ... bench: 761,850 ns/iter (+/- 1,645) test iter::bench_skip_ref_sum ... bench: 478,207 ns/iter (+/- 119,252) test iter::bench_skip_sum ... bench: 315,614 ns/iter (+/- 3,054) test iter::bench_skip_while_chain_ref_sum ... bench: 2,486,370 ns/iter (+/- 4,845) test iter::bench_skip_while_chain_sum ... bench: 633,915 ns/iter (+/- 5,892) test iter::bench_skip_while_ref_sum ... bench: 666,926 ns/iter (+/- 804) test iter::bench_skip_while_sum ... bench: 444,405 ns/iter (+/- 571)
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