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authormo khan <mo@mokhan.ca>2025-07-02 18:36:06 -0600
committermo khan <mo@mokhan.ca>2025-07-02 18:36:06 -0600
commit8cdfa445d6629ffef4cb84967ff7017654045bc2 (patch)
tree22f0b0907c024c78d26a731e2e1f5219407d8102 /vendor/itertools
parent4351c74c7c5f97156bc94d3a8549b9940ac80e3f (diff)
chore: add vendor directory
Diffstat (limited to 'vendor/itertools')
-rw-r--r--vendor/itertools/.cargo-checksum.json1
-rw-r--r--vendor/itertools/CHANGELOG.md570
-rw-r--r--vendor/itertools/CONTRIBUTING.md189
-rw-r--r--vendor/itertools/Cargo.lock740
-rw-r--r--vendor/itertools/Cargo.toml180
-rw-r--r--vendor/itertools/LICENSE-APACHE201
-rw-r--r--vendor/itertools/LICENSE-MIT25
-rw-r--r--vendor/itertools/README.md33
-rw-r--r--vendor/itertools/benches/bench1.rs767
-rw-r--r--vendor/itertools/benches/combinations.rs117
-rw-r--r--vendor/itertools/benches/combinations_with_replacement.rs40
-rw-r--r--vendor/itertools/benches/fold_specialization.rs75
-rw-r--r--vendor/itertools/benches/k_smallest.rs61
-rw-r--r--vendor/itertools/benches/powerset.rs97
-rw-r--r--vendor/itertools/benches/specializations.rs669
-rw-r--r--vendor/itertools/benches/tree_reduce.rs150
-rw-r--r--vendor/itertools/benches/tuple_combinations.rs113
-rw-r--r--vendor/itertools/benches/tuples.rs208
-rw-r--r--vendor/itertools/examples/iris.data150
-rw-r--r--vendor/itertools/examples/iris.rs140
-rw-r--r--vendor/itertools/src/adaptors/coalesce.rs286
-rw-r--r--vendor/itertools/src/adaptors/map.rs130
-rw-r--r--vendor/itertools/src/adaptors/mod.rs1265
-rw-r--r--vendor/itertools/src/adaptors/multi_product.rs231
-rw-r--r--vendor/itertools/src/combinations.rs308
-rw-r--r--vendor/itertools/src/combinations_with_replacement.rs188
-rw-r--r--vendor/itertools/src/concat_impl.rs27
-rw-r--r--vendor/itertools/src/cons_tuples_impl.rs39
-rw-r--r--vendor/itertools/src/diff.rs104
-rw-r--r--vendor/itertools/src/duplicates_impl.rs216
-rw-r--r--vendor/itertools/src/either_or_both.rs514
-rw-r--r--vendor/itertools/src/exactly_one_err.rs125
-rw-r--r--vendor/itertools/src/extrema_set.rs49
-rw-r--r--vendor/itertools/src/flatten_ok.rs205
-rw-r--r--vendor/itertools/src/format.rs178
-rw-r--r--vendor/itertools/src/free.rs319
-rw-r--r--vendor/itertools/src/group_map.rs32
-rw-r--r--vendor/itertools/src/groupbylazy.rs613
-rw-r--r--vendor/itertools/src/grouping_map.rs612
-rw-r--r--vendor/itertools/src/impl_macros.rs34
-rw-r--r--vendor/itertools/src/intersperse.rs142
-rw-r--r--vendor/itertools/src/iter_index.rs116
-rw-r--r--vendor/itertools/src/k_smallest.rs138
-rw-r--r--vendor/itertools/src/kmerge_impl.rs239
-rw-r--r--vendor/itertools/src/lazy_buffer.rs79
-rw-r--r--vendor/itertools/src/lib.rs4713
-rw-r--r--vendor/itertools/src/merge_join.rs348
-rw-r--r--vendor/itertools/src/minmax.rs116
-rw-r--r--vendor/itertools/src/multipeek_impl.rs116
-rw-r--r--vendor/itertools/src/next_array.rs269
-rw-r--r--vendor/itertools/src/pad_tail.rs124
-rw-r--r--vendor/itertools/src/peek_nth.rs178
-rw-r--r--vendor/itertools/src/peeking_take_while.rs201
-rw-r--r--vendor/itertools/src/permutations.rs186
-rw-r--r--vendor/itertools/src/powerset.rs131
-rw-r--r--vendor/itertools/src/process_results_impl.rs108
-rw-r--r--vendor/itertools/src/put_back_n_impl.rs71
-rw-r--r--vendor/itertools/src/rciter_impl.rs102
-rw-r--r--vendor/itertools/src/repeatn.rs83
-rw-r--r--vendor/itertools/src/size_hint.rs94
-rw-r--r--vendor/itertools/src/sources.rs153
-rw-r--r--vendor/itertools/src/take_while_inclusive.rs96
-rw-r--r--vendor/itertools/src/tee.rs93
-rw-r--r--vendor/itertools/src/tuple_impl.rs401
-rw-r--r--vendor/itertools/src/unique_impl.rs188
-rw-r--r--vendor/itertools/src/unziptuple.rs80
-rw-r--r--vendor/itertools/src/with_position.rs124
-rw-r--r--vendor/itertools/src/zip_eq_impl.rs65
-rw-r--r--vendor/itertools/src/zip_longest.rs139
-rw-r--r--vendor/itertools/src/ziptuple.rs137
-rw-r--r--vendor/itertools/tests/adaptors_no_collect.rs51
-rw-r--r--vendor/itertools/tests/flatten_ok.rs76
-rw-r--r--vendor/itertools/tests/laziness.rs283
-rw-r--r--vendor/itertools/tests/macros_hygiene.rs27
-rw-r--r--vendor/itertools/tests/merge_join.rs101
-rw-r--r--vendor/itertools/tests/peeking_take_while.rs69
-rw-r--r--vendor/itertools/tests/quick.rs1969
-rw-r--r--vendor/itertools/tests/specializations.rs603
-rw-r--r--vendor/itertools/tests/test_core.rs399
-rw-r--r--vendor/itertools/tests/test_std.rs1569
-rw-r--r--vendor/itertools/tests/tuples.rs86
-rw-r--r--vendor/itertools/tests/zip.rs56
82 files changed, 24320 insertions, 0 deletions
diff --git a/vendor/itertools/.cargo-checksum.json b/vendor/itertools/.cargo-checksum.json
new file mode 100644
index 00000000..13a46812
--- /dev/null
+++ b/vendor/itertools/.cargo-checksum.json
@@ -0,0 +1 @@
+{"files":{"CHANGELOG.md":"60ec9a1801e015e49f7fbb299b608ac730d5b1a3fb298e6cf7935c0695ddf7fe","CONTRIBUTING.md":"d5787d0fd4df15481e2e09a37234ac5dec22c007c890826991f633d890efa29e","Cargo.lock":"4422e732d4ce6f650afb53a1dcffb1e53c86dd066c3dcd66bc9620acd898b99e","Cargo.toml":"77735549383196a4156a2246dd1cd6742029b223679b3004531456d33562b0ce","LICENSE-APACHE":"a60eea817514531668d7e00765731449fe14d059d3249e0bc93b36de45f759f2","LICENSE-MIT":"7576269ea71f767b99297934c0b2367532690f8c4badc695edf8e04ab6a1e545","README.md":"7dba3f55ea54eff2606f8b9f005e369cf9885dd972cb481432fce00234ee7750","benches/bench1.rs":"d632c8b839d7b318d1cb7b81b9c62570c77dcdf0696b8ce3d52067c79c930f78","benches/combinations.rs":"5b3bd243336d6b6bdc111d66218f3f0a4ecdb10fb72e90db79959e3d8bb2cf6f","benches/combinations_with_replacement.rs":"11f29160652a2d90ce7ca4b1c339c4457888ab6867e2456ce1c62e3adf9be737","benches/fold_specialization.rs":"66ab13fd8576a662afb59ef72c5565f5c3d27f7f30a976450ee5a14958654fa2","benches/k_smallest.rs":"c1bb2aa597def7f7c282d1196f9d70be6d10e1acbae03279c05bc8065544bb8e","benches/powerset.rs":"dc1fd729584147e5d8e4d19c6ca6f8706087d41c3c5beb7293d9ea43b4beab14","benches/specializations.rs":"daa989877d83ccd58e8de529184d50905b3d6fa60a9eeae917f38bd570d72fa4","benches/tree_reduce.rs":"fa4f22f042b76df89094ddf6e925ba42c4c3992f8195e719ed035f2e7cfa05bd","benches/tuple_combinations.rs":"16366158743307a0289fc1df423a3cec45009807d410a9fe9922d5b6f8b7d002","benches/tuples.rs":"5ab542aca40df4390de0ebf3819665df402d924a7dd6f4280e6ffc942bbd25c4","examples/iris.data":"596ffd580471ca4d4880f8e439c7281f3b50d8249a5960353cb200b1490f63a0","examples/iris.rs":"42c1b2fc148df52a050b013a57b577ad19911f1fe85b9525863df501979b5cd1","src/adaptors/coalesce.rs":"b57157c205ae077dd398740b61c7f49023aa80868abd8a071a6fe89ae6ecc9ad","src/adaptors/map.rs":"4952ee770cb54e98b2f649efd9c98f18951689358eb9b6bee10f139d056353ae","src/adaptors/mod.rs":"1e0cf7409c7291a923cf87f1c6d27cc57bd9f71ca52f7dd08a429aa994daa6ce","src/adaptors/multi_product.rs":"ad501e8ae4e5089b9d2f2be1f9a4713da6a2103b14daa759e09918409f88e321","src/combinations.rs":"9c4490bc4c7488fe9a8dba656a30493d90abb33006f7abbe3e266c237ffc986b","src/combinations_with_replacement.rs":"c7d6b7a122057e9aab075b2de41440ccd2973a6985fba75c2e93af13de55ef90","src/concat_impl.rs":"d61c00d43eca1193f135e25d3b6afd840c02ef1c573c29b264c47ee3429a45e8","src/cons_tuples_impl.rs":"7f46da33168107860b2b15d05d8edfe618e41bbc66ff0e16baf82d7373c4356d","src/diff.rs":"6e5ba3705a3a076d4fc360594014c90f1dfc597e61e8a629f96efa050e2433f5","src/duplicates_impl.rs":"1be37249b4566edc8da611ed9766ec851a526e7513bd13d80fe97482dcfcf7f3","src/either_or_both.rs":"cac278666b5d3c1fd103d97d15ce4c40960ea459441aeae83c6502087fd2ad8d","src/exactly_one_err.rs":"90b6204551161d27394af72107765dbfe3b51a77f4770c2e506fa4938985a184","src/extrema_set.rs":"11de200d853941716e9aa9a9b520b006704827c3c43a0c5f067906b0941e51d1","src/flatten_ok.rs":"62c18e5221a27949a00de49414306d6dfd601515817c1c8ae6189e3275756dd3","src/format.rs":"3ae6414043e0040f7358028c560437ea49afdbb2416df138a2410169e2619589","src/free.rs":"00ec21acee2ae2b30bf99e62472f9684c0a1719fbafc8dd2e4195ea8377c5b5d","src/group_map.rs":"c9da201137c6bb479b9308bfc38398b76950e39905f4ce8bc435c5318371522c","src/groupbylazy.rs":"5862629719258703aad47977ba1060f20fff15e962e18e6142758ebf6cd4a61c","src/grouping_map.rs":"3896c46ba4bd8ea886e5344a245658235626a104758d5ccecf223544a9ba471b","src/impl_macros.rs":"97fc5f39574805e0c220aa462cf1ae7dcac5c1082d6ee5500e7d71c120db5f88","src/intersperse.rs":"55031819e985c3184275e254c9600ecbe01e9fb49f198039c5da82a87ea5b90e","src/iter_index.rs":"1b0ff8376a4ad855d44db8c662450c777db84e0f4997b53ca575c65b107bb83b","src/k_smallest.rs":"a6840980e4c1aedd6987f93c904d362aa09a101537e447121fff58bb2473638d","src/kmerge_impl.rs":"3f999d55d7def904f71f2ca88b36707461f7f23b32966e0ccaf31d808886d843","src/lazy_buffer.rs":"baa01490fceb5a8dd7bd9c2634e19ce8a785bd1df352a9dd77d1344e3e0f8892","src/lib.rs":"e7f144351cca5018dc12270b4c33f0562afddb92452acfa85153cb276aebd6e9","src/merge_join.rs":"f2f257e63c84ed772b235229cc787ebe9ae009d7c80ed2087002a6b62c5e2133","src/minmax.rs":"0ec34b172ca8efc4aacb96f3e5771bdc5e8ac882876ee0f59d698c3924717c48","src/multipeek_impl.rs":"79eef0be49ad66f15d41808e72c03976c4f7cff5838b69d17975d3ece266f3f8","src/next_array.rs":"295924058891c08f9fe6313a1d9dd0042dcf60f0a514c6a6e009a1396d804fc9","src/pad_tail.rs":"e6bb5b086478600b0dbb8726cae8364bf83ab36d989ef467e1264eea43933b50","src/peek_nth.rs":"093f1a157b1c917f041af5244a5a46311affa2922126e36dc0ee2c501c79b58c","src/peeking_take_while.rs":"075ce13475c84e2cfdfaf1a7a0d0695332102c82a61914ed4c00a7d2634b1d34","src/permutations.rs":"b316084ee14e9e138d22f177367b3bfa24cb3e5e90ab20b9b00a9a23d653496f","src/powerset.rs":"7ab24fefc914b339dd92a6c8e639d0cad34479e09293b3346078856d6bc02d34","src/process_results_impl.rs":"6b5d82447eef4e87fef7b2a8e56b906ac7b000886a468ce421252f34ec86e371","src/put_back_n_impl.rs":"5a58d7a31c03029f0726e4d42de3be869580cf76b73c6d1ef70dd40c240b03a0","src/rciter_impl.rs":"081fd206ba4a601bd65e2f3b8d7c95e3e4a3564beb7c98944bd2e7986959c230","src/repeatn.rs":"dd9a5bf5a63ef9cc6ec5c8a6137c7ffba80f13568b6d001e189daaa29ffbaf39","src/size_hint.rs":"6022c2327ddc6df7e7b939eb60a93ee66ea9aa4d3aab49b9952e663ff4bff10b","src/sources.rs":"ef942af209ca1effcd28a95abedad8c45b659ae2a15b66c2158cb604f6e325f8","src/take_while_inclusive.rs":"1973a9f5322b3dae3b5ccded5912a08a8e2e975b9a5eac666192b118b230d305","src/tee.rs":"dad50ca162627cf0a67786f0993ef27d06cdefc14d412463e58c07824ef409d8","src/tuple_impl.rs":"0213261109e7c65746ccc22425d19141907bf7ea1e3dd4c40e9f278e6148e272","src/unique_impl.rs":"1efc280226f13ddd7dd5f7eedeec0093b704596652c942f3a0b2f8c90fa2e2f7","src/unziptuple.rs":"f3f6a2ee2658fa07db7592f2c344c2e3b1263a21fc75e1325f2be32c9dc1e750","src/with_position.rs":"9ca1eb195d04690b0c3a62a6c0eea349b8042e11c4ca4b80744f54103e1c7355","src/zip_eq_impl.rs":"3282b177e7dece5d3fbdc9b03563f209589a399ea45e70abf23ccca3b5512ac7","src/zip_longest.rs":"5572699564dd5717cc074b7733333ed238c2e9f3e6819d45e33e3a2dbda74478","src/ziptuple.rs":"d3a12221d39c8a5514574adb3ad2ccd1803d514b1cb09fbcd9253e3ddd628310","tests/adaptors_no_collect.rs":"7e6240878b1fc13b6384fdde0317d5d7ccca3e417b10a201ba61eb5255400fda","tests/flatten_ok.rs":"b7894874132918b8229c7150b2637511d8e3e14197d8eeb9382d46b2a514efa2","tests/laziness.rs":"89e6caec10da3d7aeadf9e30d5caf03cda36d07cee8415ff134b5b8e2a2cf144","tests/macros_hygiene.rs":"c2d517badf593c0ba9b70e987a6f8482ed8997547b2e88bbec70babd9b677aa2","tests/merge_join.rs":"5fb506b989f4a331d46cdec5775ea594656985134196099eaf8d3905bdddcdd5","tests/peeking_take_while.rs":"f834361c5520dda15eb9e9ebe87507c905462201412b21859d9f83dab91d0e0b","tests/quick.rs":"d463bf8712b32742c93bc2cf3993031aeaba1f5b0505ca0ecd347313c3da0582","tests/specializations.rs":"fefbdac83bb774186882e3d31be619c9ce1dbfc4191a99ed2ac90aa764737a8f","tests/test_core.rs":"9bbc6772e97a60d93d4021c184b9e4de1c0440a1c48b991a92edc189699fd20d","tests/test_std.rs":"b0e56deefe309b9c11804bd069c744b5caea7960cd4b68244531f6edf38b9741","tests/tuples.rs":"014e4da776174bfe923270e2a359cd9c95b372fce4b952b8138909d6e2c52762","tests/zip.rs":"457e34761d9bf2943a43abd9020d2b1a4492ebff9e4d94efe4c730652fbf62af"},"package":"2b192c782037fadd9cfa75548310488aabdbf3d2da73885b31bd0abd03351285"} \ No newline at end of file
diff --git a/vendor/itertools/CHANGELOG.md b/vendor/itertools/CHANGELOG.md
new file mode 100644
index 00000000..6b08f683
--- /dev/null
+++ b/vendor/itertools/CHANGELOG.md
@@ -0,0 +1,570 @@
+# Changelog
+
+## 0.14.0
+
+### Breaking
+- Increased MSRV to 1.63.0 (#960)
+- Removed generic parameter from `cons_tuples` (#988)
+
+### Added
+- Added `array_combinations` (#991)
+- Added `k_smallest_relaxed` and variants (#925)
+- Added `next_array` and `collect_array` (#560)
+- Implemented `DoubleEndedIterator` for `FilterOk` (#948)
+- Implemented `DoubleEndedIterator` for `FilterMapOk` (#950)
+
+### Changed
+- Allow `Q: ?Sized` in `Itertools::contains` (#971)
+- Improved hygiene of `chain!` (#943)
+- Improved `into_group_map_by` documentation (#1000)
+- Improved `tree_reduce` documentation (#955)
+- Improved discoverability of `merge_join_by` (#966)
+- Improved discoverability of `take_while_inclusive` (#972)
+- Improved documentation of `find_or_last` and `find_or_first` (#984)
+- Prevented exponentially large type sizes in `tuple_combinations` (#945)
+- Added `track_caller` attr for `asser_equal` (#976)
+
+### Notable Internal Changes
+- Fixed clippy lints (#956, #987, #1008)
+- Addressed warnings within doctests (#964)
+- CI: Run most tests with miri (#961)
+- CI: Speed up "cargo-semver-checks" action (#938)
+- Changed an instance of `default_features` in `Cargo.toml` to `default-features` (#985)
+
+## 0.13.0
+
+### Breaking
+- Removed implementation of `DoubleEndedIterator` for `ConsTuples` (#853)
+- Made `MultiProduct` fused and fixed on an empty iterator (#835, #834)
+- Changed `iproduct!` to return tuples for maxi one iterator too (#870)
+- Changed `PutBack::put_back` to return the old value (#880)
+- Removed deprecated `repeat_call, Itertools::{foreach, step, map_results, fold_results}` (#878)
+- Removed `TakeWhileInclusive::new` (#912)
+
+### Added
+- Added `Itertools::{smallest_by, smallest_by_key, largest, largest_by, largest_by_key}` (#654, #885)
+- Added `Itertools::tail` (#899)
+- Implemented `DoubleEndedIterator` for `ProcessResults` (#910)
+- Implemented `Debug` for `FormatWith` (#931)
+- Added `Itertools::get` (#891)
+
+### Changed
+- Deprecated `Itertools::group_by` (renamed `chunk_by`) (#866, #879)
+- Deprecated `unfold` (use `std::iter::from_fn` instead) (#871)
+- Optimized `GroupingMapBy` (#873, #876)
+- Relaxed `Fn` bounds to `FnMut` in `diff_with, Itertools::into_group_map_by` (#886)
+- Relaxed `Debug/Clone` bounds for `MapInto` (#889)
+- Documented the `use_alloc` feature (#887)
+- Optimized `Itertools::set_from` (#888)
+- Removed badges in `README.md` (#890)
+- Added "no-std" categories in `Cargo.toml` (#894)
+- Fixed `Itertools::k_smallest` on short unfused iterators (#900)
+- Deprecated `Itertools::tree_fold1` (renamed `tree_reduce`) (#895)
+- Deprecated `GroupingMap::fold_first` (renamed `reduce`) (#902)
+- Fixed `Itertools::k_smallest(0)` to consume the iterator, optimized `Itertools::k_smallest(1)` (#909)
+- Specialized `Combinations::nth` (#914)
+- Specialized `MergeBy::fold` (#920)
+- Specialized `CombinationsWithReplacement::nth` (#923)
+- Specialized `FlattenOk::{fold, rfold}` (#927)
+- Specialized `Powerset::nth` (#924)
+- Documentation fixes (#882, #936)
+- Fixed `assert_equal` for iterators longer than `i32::MAX` (#932)
+- Updated the `must_use` message of non-lazy `KMergeBy` and `TupleCombinations` (#939)
+
+### Notable Internal Changes
+- Tested iterator laziness (#792)
+- Created `CONTRIBUTING.md` (#767)
+
+## 0.12.1
+
+### Added
+- Documented iteration order guarantee for `Itertools::[tuple_]combinations` (#822)
+- Documented possible panic in `iterate` (#842)
+- Implemented `Clone` and `Debug` for `Diff` (#845)
+- Implemented `Debug` for `WithPosition` (#859)
+- Implemented `Eq` for `MinMaxResult` (#838)
+- Implemented `From<EitherOrBoth<A, B>>` for `Option<Either<A, B>>` (#843)
+- Implemented `PeekingNext` for `RepeatN` (#855)
+
+### Changed
+- Made `CoalesceBy` lazy (#801)
+- Optimized `Filter[Map]Ok::next`, `Itertools::partition`, `Unique[By]::next[_back]` (#818)
+- Optimized `Itertools::find_position` (#837)
+- Optimized `Positions::next[_back]` (#816)
+- Optimized `ZipLongest::fold` (#854)
+- Relaxed `Debug` bounds for `GroupingMapBy` (#860)
+- Specialized `ExactlyOneError::fold` (#826)
+- Specialized `Interleave[Shortest]::fold` (#849)
+- Specialized `MultiPeek::fold` (#820)
+- Specialized `PadUsing::[r]fold` (#825)
+- Specialized `PeekNth::fold` (#824)
+- Specialized `Positions::[r]fold` (#813)
+- Specialized `PutBackN::fold` (#823)
+- Specialized `RepeatN::[r]fold` (#821)
+- Specialized `TakeWhileInclusive::fold` (#851)
+- Specialized `ZipLongest::rfold` (#848)
+
+### Notable Internal Changes
+- Added test coverage in CI (#847, #856)
+- Added semver check in CI (#784)
+- Enforced `clippy` in CI (#740)
+- Enforced `rustdoc` in CI (#840)
+- Improved specialization tests (#807)
+- More specialization benchmarks (#806)
+
+## 0.12.0
+
+### Breaking
+- Made `take_while_inclusive` consume iterator by value (#709)
+- Added `Clone` bound to `Unique` (#777)
+
+### Added
+- Added `Itertools::try_len` (#723)
+- Added free function `sort_unstable` (#796)
+- Added `GroupMap::fold_with` (#778, #785)
+- Added `PeekNth::{peek_mut, peek_nth_mut}` (#716)
+- Added `PeekNth::{next_if, next_if_eq}` (#734)
+- Added conversion into `(Option<A>,Option<B>)` to `EitherOrBoth` (#713)
+- Added conversion from `Either<A, B>` to `EitherOrBoth<A, B>` (#715)
+- Implemented `ExactSizeIterator` for `Tuples` (#761)
+- Implemented `ExactSizeIterator` for `(Circular)TupleWindows` (#752)
+- Made `EitherOrBoth<T>` a shorthand for `EitherOrBoth<T, T>` (#719)
+
+### Changed
+- Added missing `#[must_use]` annotations on iterator adaptors (#794)
+- Made `Combinations` lazy (#795)
+- Made `Intersperse(With)` lazy (#797)
+- Made `Permutations` lazy (#793)
+- Made `Product` lazy (#800)
+- Made `TupleWindows` lazy (#602)
+- Specialized `Combinations::{count, size_hint}` (#729)
+- Specialized `CombinationsWithReplacement::{count, size_hint}` (#737)
+- Specialized `Powerset::fold` (#765)
+- Specialized `Powerset::count` (#735)
+- Specialized `TupleCombinations::{count, size_hint}` (#763)
+- Specialized `TupleCombinations::fold` (#775)
+- Specialized `WhileSome::fold` (#780)
+- Specialized `WithPosition::fold` (#772)
+- Specialized `ZipLongest::fold` (#774)
+- Changed `{min, max}_set*` operations require `alloc` feature, instead of `std` (#760)
+- Improved documentation of `tree_fold1` (#787)
+- Improved documentation of `permutations` (#724)
+- Fixed typo in documentation of `multiunzip` (#770)
+
+### Notable Internal Changes
+- Improved specialization tests (#799, #786, #782)
+- Simplified implementation of `Permutations` (#739, #748, #790)
+- Combined `Merge`/`MergeBy`/`MergeJoinBy` implementations (#736)
+- Simplified `Permutations::size_hint` (#739)
+- Fix wrapping arithmetic in benchmarks (#770)
+- Enforced `rustfmt` in CI (#751)
+- Disallowed compile warnings in CI (#720)
+- Used `cargo hack` to check MSRV (#754)
+
+## 0.11.0
+
+### Breaking
+- Make `Itertools::merge_join_by` also accept functions returning bool (#704)
+- Implement `PeekingNext` transitively over mutable references (#643)
+- Change `with_position` to yield `(Position, Item)` instead of `Position<Item>` (#699)
+
+### Added
+- Add `Itertools::take_while_inclusive` (#616)
+- Implement `PeekingNext` for `PeekingTakeWhile` (#644)
+- Add `EitherOrBoth::{just_left, just_right, into_left, into_right, as_deref, as_deref_mut, left_or_insert, right_or_insert, left_or_insert_with, right_or_insert_with, insert_left, insert_right, insert_both}` (#629)
+- Implement `Clone` for `CircularTupleWindows` (#686)
+- Implement `Clone` for `Chunks` (#683)
+- Add `Itertools::process_results` (#680)
+
+### Changed
+- Use `Cell` instead of `RefCell` in `Format` and `FormatWith` (#608)
+- CI tweaks (#674, #675)
+- Document and test the difference between stable and unstable sorts (#653)
+- Fix documentation error on `Itertools::max_set_by_key` (#692)
+- Move MSRV metadata to `Cargo.toml` (#672)
+- Implement `equal` with `Iterator::eq` (#591)
+
+## 0.10.5
+ - Maintenance
+
+## 0.10.4
+ - Add `EitherOrBoth::or` and `EitherOrBoth::or_else` (#593)
+ - Add `min_set`, `max_set` et al. (#613, #323)
+ - Use `either/use_std` (#628)
+ - Documentation fixes (#612, #625, #632, #633, #634, #638)
+ - Code maintenance (#623, #624, #627, #630)
+
+## 0.10.3
+ - Maintenance
+
+## 0.10.2
+ - Add `Itertools::multiunzip` (#362, #565)
+ - Add `intersperse` and `intersperse_with` free functions (#555)
+ - Add `Itertools::sorted_by_cached_key` (#424, #575)
+ - Specialize `ProcessResults::fold` (#563)
+ - Fix subtraction overflow in `DuplicatesBy::size_hint` (#552)
+ - Fix specialization tests (#574)
+ - More `Debug` impls (#573)
+ - Deprecate `fold1` (use `reduce` instead) (#580)
+ - Documentation fixes (`HomogenousTuple`, `into_group_map`, `into_group_map_by`, `MultiPeek::peek`) (#543 et al.)
+
+## 0.10.1
+ - Add `Itertools::contains` (#514)
+ - Add `Itertools::counts_by` (#515)
+ - Add `Itertools::partition_result` (#511)
+ - Add `Itertools::all_unique` (#241)
+ - Add `Itertools::duplicates` and `Itertools::duplicates_by` (#502)
+ - Add `chain!` (#525)
+ - Add `Itertools::at_most_one` (#523)
+ - Add `Itertools::flatten_ok` (#527)
+ - Add `EitherOrBoth::or_default` (#583)
+ - Add `Itertools::find_or_last` and `Itertools::find_or_first` (#535)
+ - Implement `FusedIterator` for `FilterOk`, `FilterMapOk`, `InterleaveShortest`, `KMergeBy`, `MergeBy`, `PadUsing`, `Positions`, `Product` , `RcIter`, `TupleWindows`, `Unique`, `UniqueBy`, `Update`, `WhileSome`, `Combinations`, `CombinationsWithReplacement`, `Powerset`, `RepeatN`, and `WithPosition` (#550)
+ - Implement `FusedIterator` for `Interleave`, `IntersperseWith`, and `ZipLongest` (#548)
+
+## 0.10.0
+ - **Increase minimum supported Rust version to 1.32.0**
+ - Improve macro hygiene (#507)
+ - Add `Itertools::powerset` (#335)
+ - Add `Itertools::sorted_unstable`, `Itertools::sorted_unstable_by`, and `Itertools::sorted_unstable_by_key` (#494)
+ - Implement `Error` for `ExactlyOneError` (#484)
+ - Undeprecate `Itertools::fold_while` (#476)
+ - Tuple-related adapters work for tuples of arity up to 12 (#475)
+ - `use_alloc` feature for users who have `alloc`, but not `std` (#474)
+ - Add `Itertools::k_smallest` (#473)
+ - Add `Itertools::into_grouping_map` and `GroupingMap` (#465)
+ - Add `Itertools::into_grouping_map_by` and `GroupingMapBy` (#465)
+ - Add `Itertools::counts` (#468)
+ - Add implementation of `DoubleEndedIterator` for `Unique` (#442)
+ - Add implementation of `DoubleEndedIterator` for `UniqueBy` (#442)
+ - Add implementation of `DoubleEndedIterator` for `Zip` (#346)
+ - Add `Itertools::multipeek` (#435)
+ - Add `Itertools::dedup_with_count` and `DedupWithCount` (#423)
+ - Add `Itertools::dedup_by_with_count` and `DedupByWithCount` (#423)
+ - Add `Itertools::intersperse_with` and `IntersperseWith` (#381)
+ - Add `Itertools::filter_ok` and `FilterOk` (#377)
+ - Add `Itertools::filter_map_ok` and `FilterMapOk` (#377)
+ - Deprecate `Itertools::fold_results`, use `Itertools::fold_ok` instead (#377)
+ - Deprecate `Itertools::map_results`, use `Itertools::map_ok` instead (#377)
+ - Deprecate `FoldResults`, use `FoldOk` instead (#377)
+ - Deprecate `MapResults`, use `MapOk` instead (#377)
+ - Add `Itertools::circular_tuple_windows` and `CircularTupleWindows` (#350)
+ - Add `peek_nth` and `PeekNth` (#303)
+
+## 0.9.0
+ - Fix potential overflow in `MergeJoinBy::size_hint` (#385)
+ - Add `derive(Clone)` where possible (#382)
+ - Add `try_collect` method (#394)
+ - Add `HomogeneousTuple` trait (#389)
+ - Fix `combinations(0)` and `combinations_with_replacement(0)` (#383)
+ - Don't require `ParitalEq` to the `Item` of `DedupBy` (#397)
+ - Implement missing specializations on the `PutBack` adaptor and on the `MergeJoinBy` iterator (#372)
+ - Add `position_*` methods (#412)
+ - Derive `Hash` for `EitherOrBoth` (#417)
+ - Increase minimum supported Rust version to 1.32.0
+
+## 0.8.2
+ - Use `slice::iter` instead of `into_iter` to avoid future breakage (#378, by @LukasKalbertodt)
+## 0.8.1
+ - Added a [`.exactly_one()`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.exactly_one) iterator method that, on success, extracts the single value of an iterator ; by @Xaeroxe
+ - Added combinatory iterator adaptors:
+ - [`.permutations(k)`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.permutations):
+
+ `[0, 1, 2].iter().permutations(2)` yields
+
+ ```rust
+ [
+ vec![0, 1],
+ vec![0, 2],
+ vec![1, 0],
+ vec![1, 2],
+ vec![2, 0],
+ vec![2, 1],
+ ]
+ ```
+
+ ; by @tobz1000
+
+ - [`.combinations_with_replacement(k)`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.combinations_with_replacement):
+
+ `[0, 1, 2].iter().combinations_with_replacement(2)` yields
+
+ ```rust
+ [
+ vec![0, 0],
+ vec![0, 1],
+ vec![0, 2],
+ vec![1, 1],
+ vec![1, 2],
+ vec![2, 2],
+ ]
+ ```
+
+ ; by @tommilligan
+
+ - For reference, these methods join the already existing [`.combinations(k)`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.combinations):
+
+ `[0, 1, 2].iter().combinations(2)` yields
+
+ ```rust
+ [
+ vec![0, 1],
+ vec![0, 2],
+ vec![1, 2],
+ ]
+ ```
+
+ - Improved the performance of [`.fold()`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.fold)-based internal iteration for the [`.intersperse()`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.intersperse) iterator ; by @jswrenn
+ - Added [`.dedup_by()`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.dedup_by), [`.merge_by()`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.merge_by) and [`.kmerge_by()`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.kmerge_by) adaptors that work like [`.dedup()`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.dedup), [`.merge()`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.merge) and [`.kmerge()`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.kmerge), but taking an additional custom comparison closure parameter. ; by @phimuemue
+ - Improved the performance of [`.all_equal()`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.all_equal) ; by @fyrchik
+ - Loosened the bounds on [`.partition_map()`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.partition_map) to take just a `FnMut` closure rather than a `Fn` closure, and made its implementation use internal iteration for better performance ; by @danielhenrymantilla
+ - Added convenience methods to [`EitherOrBoth`](https://docs.rs/itertools/0.8.1/itertools/enum.EitherOrBoth.html) elements yielded from the [`.zip_longest()`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.zip_longest) iterator adaptor ; by @Avi-D-coder
+ - Added [`.sum1()`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.sum1) and [`.product1()`](https://docs.rs/itertools/0.8.1/itertools/trait.Itertools.html#method.product1) iterator methods that respectively try to return the sum and the product of the elements of an iterator **when it is not empty**, otherwise they return `None` ; by @Emerentius
+## 0.8.0
+ - Added new adaptor `.map_into()` for conversions using `Into` by @vorner
+ - Improved `Itertools` docs by @JohnHeitmann
+ - The return type of `.sorted_by_by_key()` is now an iterator, not a Vec.
+ - The return type of the `izip!(x, y)` macro with exactly two arguments is now the usual `Iterator::zip`.
+ - Remove `.flatten()` in favour of std's `.flatten()`
+ - Deprecate `.foreach()` in favour of std's `.for_each()`
+ - Deprecate `.step()` in favour of std's `.step_by()`
+ - Deprecate `repeat_call` in favour of std's `repeat_with`
+ - Deprecate `.fold_while()` in favour of std's `.try_fold()`
+ - Require Rust 1.24 as minimal version.
+## 0.7.11
+ - Add convenience methods to `EitherOrBoth`, making it more similar to `Option` and `Either` by @jethrogb
+## 0.7.10
+ - No changes.
+## 0.7.9
+ - New inclusion policy: See the readme about suggesting features for std before accepting them in itertools.
+ - The `FoldWhile` type now implements `Eq` and `PartialEq` by @jturner314
+## 0.7.8
+ - Add new iterator method `.tree_fold1()` which is like `.fold1()` except items are combined in a tree structure (see its docs). By @scottmcm
+ - Add more `Debug` impls by @phimuemue: KMerge, KMergeBy, MergeJoinBy, ConsTuples, Intersperse, ProcessResults, RcIter, Tee, TupleWindows, Tee, ZipLongest, ZipEq, Zip.
+## 0.7.7
+ - Add new iterator method `.into_group_map() -> HashMap<K, Vec<V>>` which turns an iterator of `(K, V)` elements into such a hash table, where values are grouped by key. By @tobz1000
+ - Add new free function `flatten` for the `.flatten()` adaptor. **NOTE:** recent Rust nightlies have `Iterator::flatten` and thus a clash with our flatten adaptor. One workaround is to use the itertools `flatten` free function.
+## 0.7.6
+ - Add new adaptor `.multi_cartesian_product()` which is an n-ary product iterator by @tobz1000
+ - Add new method `.sorted_by_key()` by @Xion
+ - Provide simpler and faster `.count()` for `.unique()` and `.unique_by()`
+## 0.7.5
+ - `.multipeek()` now implements `PeekingNext`, by @nicopap.
+## 0.7.4
+ - Add new adaptor `.update()` by @lucasem; this adaptor is used to modify an element before passing it on in an iterator chain.
+## 0.7.3
+ - Add new method `.collect_tuple()` by @matklad; it makes a tuple out of the iterator's elements if the number of them matches **exactly**.
+ - Implement `fold` and `collect` for `.map_results()` which means it reuses the code of the standard `.map()` for these methods.
+## 0.7.2
+ - Add new adaptor `.merge_join_by` by @srijs; a heterogeneous merge join for two ordered sequences.
+## 0.7.1
+ - Iterator adaptors and iterators in itertools now use the same `must_use` reminder that the standard library adaptors do, by @matematikaedit and @bluss *“iterator adaptors are lazy and do nothing unless consumed”*.
+## 0.7.0
+ - Faster `izip!()` by @krdln
+ - `izip!()` is now a wrapper for repeated regular `.zip()` and a single `.map()`. This means it optimizes as well as the standard library `.zip()` it uses. **Note:** `multizip` and `izip!()` are now different! The former has a named type but the latter optimizes better.
+ - Faster `.unique()`
+ - `no_std` support, which is opt-in!
+ - Many lovable features are still there without std, like `izip!()` or `.format()` or `.merge()`, but not those that use collections.
+ - Trait bounds were required up front instead of just on the type: `group_by`'s `PartialEq` by @Phlosioneer and `repeat_call`'s `FnMut`.
+ - Removed deprecated constructor `Zip::new` — use `izip!()` or `multizip()`
+## 0.6.5
+ - Fix bug in `.cartesian_product()`'s fold (which only was visible for unfused iterators).
+## 0.6.4
+ - Add specific `fold` implementations for `.cartesian_product()` and `cons_tuples()`, which improves their performance in fold, foreach, and iterator consumers derived from them.
+## 0.6.3
+ - Add iterator adaptor `.positions(predicate)` by @tmccombs
+## 0.6.2
+ - Add function `process_results` which can “lift” a function of the regular values of an iterator so that it can process the `Ok` values from an iterator of `Results` instead, by @shepmaster
+ - Add iterator method `.concat()` which combines all iterator elements into a single collection using the `Extend` trait, by @srijs
+## 0.6.1
+ - Better size hint testing and subsequent size hint bugfixes by @rkarp. Fixes bugs in product, `interleave_shortest` size hints.
+ - New iterator method `.all_equal()` by @phimuemue
+## 0.6.0
+ - Deprecated names were removed in favour of their replacements
+ - `.flatten()` does not implement double ended iteration anymore
+ - `.fold_while()` uses `&mut self` and returns `FoldWhile<T>`, for composability #168
+ - `.foreach()` and `.fold1()` use `self`, like `.fold()` does.
+ - `.combinations(0)` now produces a single empty vector. #174
+## 0.5.10
+ - Add itertools method `.kmerge_by()` (and corresponding free function)
+ - Relaxed trait requirement of `.kmerge()` and `.minmax()` to PartialOrd.
+## 0.5.9
+ - Add multipeek method `.reset_peek()`
+ - Add categories
+## 0.5.8
+ - Add iterator adaptor `.peeking_take_while()` and its trait `PeekingNext`.
+## 0.5.7
+ - Add iterator adaptor `.with_position()`
+ - Fix multipeek's performance for long peeks by using `VecDeque`.
+## 0.5.6
+ - Add `.map_results()`
+## 0.5.5
+ - Many more adaptors now implement `Debug`
+ - Add free function constructor `repeat_n`. `RepeatN::new` is now deprecated.
+## 0.5.4
+ - Add infinite generator function `iterate`, that takes a seed and a closure.
+## 0.5.3
+ - Special-cased `.fold()` for flatten and put back. `.foreach()` now uses fold on the iterator, to pick up any iterator specific loop implementation.
+ - `.combinations(n)` asserts up front that `n != 0`, instead of running into an error on the second iterator element.
+## 0.5.2
+ - Add `.tuples::<T>()` that iterates by two, three or four elements at a time (where `T` is a tuple type).
+ - Add `.tuple_windows::<T>()` that iterates using a window of the two, three or four most recent elements.
+ - Add `.next_tuple::<T>()` method, that picks the next two, three or four elements in one go.
+ - `.interleave()` now has an accurate size hint.
+## 0.5.1
+ - Workaround module/function name clash that made racer crash on completing itertools. Only internal changes needed.
+## 0.5.0
+ - [Release announcement](https://bluss.github.io/rust/2016/09/26/itertools-0.5.0/)
+ - Renamed:
+ - `combinations` is now `tuple_combinations`
+ - `combinations_n` to `combinations`
+ - `group_by_lazy`, `chunks_lazy` to `group_by`, `chunks`
+ - `Unfold::new` to `unfold()`
+ - `RepeatCall::new` to `repeat_call()`
+ - `Zip::new` to `multizip`
+ - `PutBack::new`, `PutBackN::new` to `put_back`, `put_back_n`
+ - `PutBack::with_value` is now a builder setter, not a constructor
+ - `MultiPeek::new`, `.multipeek()` to `multipeek()`
+ - `format` to `format_with` and `format_default` to `format`
+ - `.into_rc()` to `rciter`
+ - `Partition` enum is now `Either`
+ - Module reorganization:
+ - All iterator structs are under `itertools::structs` but also reexported to the top level, for backwards compatibility
+ - All free functions are reexported at the root, `itertools::free` will be removed in the next version
+ - Removed:
+ - `ZipSlices`, use `.zip()` instead
+ - `.enumerate_from()`, `ZipTrusted`, due to being unstable
+ - `.mend_slices()`, moved to crate `odds`
+ - Stride, StrideMut, moved to crate `odds`
+ - `linspace()`, moved to crate `itertools-num`
+ - `.sort_by()`, use `.sorted_by()`
+ - `.is_empty_hint()`, use `.size_hint()`
+ - `.dropn()`, use `.dropping()`
+ - `.map_fn()`, use `.map()`
+ - `.slice()`, use `.take()` / `.skip()`
+ - helper traits in `misc`
+ - `new` constructors on iterator structs, use `Itertools` trait or free functions instead
+ - `itertools::size_hint` is now private
+ - Behaviour changes:
+ - `format` and `format_with` helpers now panic if you try to format them more than once.
+ - `repeat_call` is not double ended anymore
+ - New features:
+ - tuple flattening iterator is constructible with `cons_tuples`
+ - itertools reexports `Either` from the `either` crate. `Either<L, R>` is an iterator when `L, R` are.
+ - `MinMaxResult` now implements `Copy` and `Clone`
+ - `tuple_combinations` supports 1-4 tuples of combinations (previously just 2)
+## 0.4.19
+ - Add `.minmax_by()`
+ - Add `itertools::free::cloned`
+ - Add `itertools::free::rciter`
+ - Improve `.step(n)` slightly to take advantage of specialized Fuse better.
+## 0.4.18
+ - Only changes related to the "unstable" crate feature. This feature is more or less deprecated.
+ - Use deprecated warnings when unstable is enabled. `.enumerate_from()` will be removed imminently since it's using a deprecated libstd trait.
+## 0.4.17
+ - Fix bug in `.kmerge()` that caused it to often produce the wrong order #134
+## 0.4.16
+ - Improve precision of the `interleave_shortest` adaptor's size hint (it is now computed exactly when possible).
+## 0.4.15
+ - Fixup on top of the workaround in 0.4.14. A function in `itertools::free` was removed by mistake and now it is added back again.
+## 0.4.14
+ - Workaround an upstream regression in a Rust nightly build that broke compilation of of `itertools::free::{interleave, merge}`
+## 0.4.13
+ - Add `.minmax()` and `.minmax_by_key()`, iterator methods for finding both minimum and maximum in one scan.
+ - Add `.format_default()`, a simpler version of `.format()` (lazy formatting for iterators).
+## 0.4.12
+ - Add `.zip_eq()`, an adaptor like `.zip()` except it ensures iterators of inequal length don't pass silently (instead it panics).
+ - Add `.fold_while()`, an iterator method that is a fold that can short-circuit.
+ - Add `.partition_map()`, an iterator method that can separate elements into two collections.
+## 0.4.11
+ - Add `.get()` for `Stride{,Mut}` and `.get_mut()` for `StrideMut`
+## 0.4.10
+ - Improve performance of `.kmerge()`
+## 0.4.9
+ - Add k-ary merge adaptor `.kmerge()`
+ - Fix a bug in `.islice()` with ranges `a..b` where a `> b`.
+## 0.4.8
+ - Implement `Clone`, `Debug` for `Linspace`
+## 0.4.7
+ - Add function `diff_with()` that compares two iterators
+ - Add `.combinations_n()`, an n-ary combinations iterator
+ - Add methods `PutBack::with_value` and `PutBack::into_parts`.
+## 0.4.6
+ - Add method `.sorted()`
+ - Add module `itertools::free` with free function variants of common iterator adaptors and methods. For example `enumerate(iterable)`, `rev(iterable)`, and so on.
+## 0.4.5
+ - Add `.flatten()`
+## 0.4.4
+ - Allow composing `ZipSlices` with itself
+## 0.4.3
+ - Write `iproduct!()` as a single expression; this allows temporary values in its arguments.
+## 0.4.2
+ - Add `.fold_options()`
+ - Require Rust 1.1 or later
+## 0.4.1
+ - Update `.dropping()` to take advantage of `.nth()`
+## 0.4.0
+ - `.merge()`, `.unique()` and `.dedup()` now perform better due to not using function pointers
+ - Add free functions `enumerate()` and `rev()`
+ - Breaking changes:
+ - Return types of `.merge()` and `.merge_by()` renamed and changed
+ - Method `Merge::new` removed
+ - `.merge_by()` now takes a closure that returns bool.
+ - Return type of `.dedup()` changed
+ - Return type of `.mend_slices()` changed
+ - Return type of `.unique()` changed
+ - Removed function `times()`, struct `Times`: use a range instead
+ - Removed deprecated macro `icompr!()`
+ - Removed deprecated `FnMap` and method `.fn_map()`: use `.map_fn()`
+ - `.interleave_shortest()` is no longer guaranteed to act like fused
+## 0.3.25
+ - Rename `.sort_by()` to `.sorted_by()`. Old name is deprecated.
+ - Fix well-formedness warnings from RFC 1214, no user visible impact
+## 0.3.24
+ - Improve performance of `.merge()`'s ordering function slightly
+## 0.3.23
+ - Added `.chunks()`, similar to (and based on) `.group_by_lazy()`.
+ - Tweak linspace to match numpy.linspace and make it double ended.
+## 0.3.22
+ - Added `ZipSlices`, a fast zip for slices
+## 0.3.21
+ - Remove `Debug` impl for `Format`, it will have different use later
+## 0.3.20
+ - Optimize `.group_by_lazy()`
+## 0.3.19
+ - Added `.group_by_lazy()`, a possibly nonallocating group by
+ - Added `.format()`, a nonallocating formatting helper for iterators
+ - Remove uses of `RandomAccessIterator` since it has been deprecated in Rust.
+## 0.3.17
+ - Added (adopted) `Unfold` from Rust
+## 0.3.16
+ - Added adaptors `.unique()`, `.unique_by()`
+## 0.3.15
+ - Added method `.sort_by()`
+## 0.3.14
+ - Added adaptor `.while_some()`
+## 0.3.13
+ - Added adaptor `.interleave_shortest()`
+ - Added adaptor `.pad_using()`
+## 0.3.11
+ - Added `assert_equal` function
+## 0.3.10
+ - Bugfix `.combinations()` `size_hint`.
+## 0.3.8
+ - Added source `RepeatCall`
+## 0.3.7
+ - Added adaptor `PutBackN`
+ - Added adaptor `.combinations()`
+## 0.3.6
+ - Added `itertools::partition`, partition a sequence in place based on a predicate.
+ - Deprecate `icompr!()` with no replacement.
+## 0.3.5
+ - `.map_fn()` replaces deprecated `.fn_map()`.
+## 0.3.4
+ - `.take_while_ref()` *by-ref adaptor*
+ - `.coalesce()` *adaptor*
+ - `.mend_slices()` *adaptor*
+## 0.3.3
+ - `.dropping_back()` *method*
+ - `.fold1()` *method*
+ - `.is_empty_hint()` *method*
diff --git a/vendor/itertools/CONTRIBUTING.md b/vendor/itertools/CONTRIBUTING.md
new file mode 100644
index 00000000..1dbf6f59
--- /dev/null
+++ b/vendor/itertools/CONTRIBUTING.md
@@ -0,0 +1,189 @@
+# Contributing to itertools
+
+We use stable Rust only.
+Please check the minimum version of Rust we use in `Cargo.toml`.
+
+_If you are proposing a major change to CI or a new iterator adaptor for this crate,
+then **please first file an issue** describing your proposal._
+[Usual concerns about new methods](https://github.com/rust-itertools/itertools/issues/413#issuecomment-657670781).
+
+To pass CI tests successfully, your code must be free of "compiler warnings" and "clippy warnings" and be "rustfmt" formatted.
+
+Note that small PRs are easier to review and therefore are more easily merged.
+
+## Write a new method/adaptor for `Itertools` trait
+In general, the code logic should be tested with [quickcheck](https://crates.io/crates/quickcheck) tests in `tests/quick.rs`
+which allow us to test properties about the code with randomly generated inputs.
+
+### Behind `use_std`/`use_alloc` feature?
+If it needs the "std" (such as using hashes) then it should be behind the `use_std` feature,
+or if it requires heap allocation (such as using vectors) then it should be behind the `use_alloc` feature.
+Otherwise it should be able to run in `no_std` context.
+
+This mostly applies to your new module, each import from it, and to your new `Itertools` method.
+
+### Pick the right receiver
+`self`, `&mut self` or `&self`? From [#710](https://github.com/rust-itertools/itertools/pull/710):
+
+- Take by value when:
+ - It transfers ownership to another iterator type, such as `filter`, `map`...
+ - It consumes the iterator completely, such as `count`, `last`, `max`...
+- Mutably borrow when it consumes only part of the iterator, such as `find`, `all`, `try_collect`...
+- Immutably borrow when there is no change, such as `size_hint`.
+
+### Laziness
+Iterators are [lazy](https://doc.rust-lang.org/std/iter/index.html#laziness):
+
+- structs of iterator adaptors should have `#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]` ;
+- structs of iterators should have `#[must_use = "iterators are lazy and do nothing unless consumed"]`.
+
+Those behaviors are **tested** in `tests/laziness.rs`.
+
+## Specialize `Iterator` methods
+It might be more performant to specialize some methods.
+However, each specialization should be thoroughly tested.
+
+Correctly specializing methods can be difficult, and _we do not require that you do it on your initial PR_.
+
+Most of the time, we want specializations of:
+
+- [`size_hint`](https://doc.rust-lang.org/std/iter/trait.Iterator.html#method.size_hint):
+ It mostly allows allocation optimizations.
+ When always exact, it also enables to implement `ExactSizeIterator`.
+ See our private module `src/size_hint.rs` for helpers.
+- [`fold`](https://doc.rust-lang.org/std/iter/trait.Iterator.html#method.fold)
+ might make iteration faster than calling `next` repeatedly.
+- [`count`](https://doc.rust-lang.org/std/iter/trait.Iterator.html#method.count),
+ [`last`](https://doc.rust-lang.org/std/iter/trait.Iterator.html#method.last),
+ [`nth`](https://doc.rust-lang.org/std/iter/trait.Iterator.html#method.nth)
+ as we might be able to avoid iterating on every item with `next`.
+
+Additionally,
+
+- `for_each`, `reduce`, `max/min[_by[_key]]` and `partition` all rely on `fold` so you should specialize it instead.
+- `all`, `any`, `find`, `find_map`, `cmp`, `partial_cmp`, `eq`, `ne`, `lt`, `le`, `gt`, `ge` and `position` all rely (by default) on `try_fold`
+ which we can not specialize on stable rust, so you might want to wait it stabilizes
+ or specialize each of them.
+- `DoubleEndedIterator::{nth_back, rfold, rfind}`: similar reasoning.
+
+An adaptor might use the inner iterator specializations for its own specializations.
+
+They are **tested** in `tests/specializations.rs` and **benchmarked** in `benches/specializations.rs`
+(build those benchmarks is slow so you might want to temporarily remove the ones you do not want to measure).
+
+## Additional implementations
+### The [`Debug`](https://doc.rust-lang.org/std/fmt/trait.Debug.html) implementation
+All our iterators should implement `Debug`.
+
+When one of the field is not debuggable (such as _functions_), you must not derive `Debug`.
+Instead, manually implement it and _ignore this field_ in our helper macro `debug_fmt_fields`.
+
+<details>
+<summary>4 examples (click to expand)</summary>
+
+```rust
+use std::fmt;
+
+/* ===== Simple derive. ===== */
+#[derive(Debug)]
+struct Name1<I> {
+ iter: I,
+}
+
+/* ===== With an unclonable field. ===== */
+struct Name2<I, F> {
+ iter: I,
+ func: F,
+}
+
+// No `F: Debug` bound and the field `func` is ignored.
+impl<I: fmt::Debug, F> fmt::Debug for Name2<I, F> {
+ // it defines the `fmt` function from a struct name and the fields you want to debug.
+ debug_fmt_fields!(Name2, iter);
+}
+
+/* ===== With an unclonable field, but another bound to add. ===== */
+struct Name3<I: Iterator, F> {
+ iter: I,
+ item: Option<I::Item>,
+ func: F,
+}
+
+// Same about `F` and `func`, similar about `I` but we must add the `I::Item: Debug` bound.
+impl<I: Iterator + fmt::Debug, F> fmt::Debug for Name3<I, F>
+where
+ I::Item: fmt::Debug,
+{
+ debug_fmt_fields!(Name3, iter, item);
+}
+
+/* ===== With an unclonable field for which we can provide some information. ===== */
+struct Name4<I, F> {
+ iter: I,
+ func: Option<F>,
+}
+
+// If ignore a field is not good enough, implement Debug fully manually.
+impl<I: fmt::Debug, F> fmt::Debug for Name4<I, F> {
+ fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
+ let func = if self.func.is_some() { "Some(_)" } else { "None" };
+ f.debug_struct("Name4")
+ .field("iter", &self.iter)
+ .field("func", &func)
+ .finish()
+ }
+}
+```
+</details>
+
+### When/How to implement [`Clone`](https://doc.rust-lang.org/std/clone/trait.Clone.html)
+All our iterators should implement `Clone` when possible.
+
+Note that a mutable reference is never clonable so `struct Name<'a, I: 'a> { iter: &'a mut I }` can not implement `Clone`.
+
+Derive `Clone` on a generic struct adds the bound `Clone` on each generic parameter.
+It might be an issue in which case you should manually implement it with our helper macro `clone_fields` (it defines the `clone` function calling `clone` on each field) and be careful about the bounds.
+
+### When to implement [`std::iter::FusedIterator`](https://doc.rust-lang.org/std/iter/trait.FusedIterator.html)
+This trait should be implemented _by all iterators that always return `None` after returning `None` once_, because it allows to optimize `Iterator::fuse()`.
+
+The conditions on which it should be implemented are usually the ones from the `Iterator` implementation, eventually refined to ensure it behaves in a fused way.
+
+### When to implement [`ExactSizeIterator`](https://doc.rust-lang.org/std/iter/trait.ExactSizeIterator.html)
+_When we are always able to return an exact non-overflowing length._
+
+Therefore, we do not implement it on adaptors that makes the iterator longer as the resulting length could overflow.
+
+One should not override `ExactSizeIterator::len` method but rely on an exact `Iterator::size_hint` implementation, meaning it returns `(length, Some(length))` (unless you could make `len` more performant than the default).
+
+The conditions on which it should be implemented are usually the ones from the `Iterator` implementation, probably refined to ensure the size hint is exact.
+
+### When to implement [`DoubleEndedIterator`](https://doc.rust-lang.org/std/iter/trait.DoubleEndedIterator.html)
+When the iterator structure allows to handle _iterating on both fronts simultaneously_.
+The iteration might stop in the middle when both fronts meet.
+
+The conditions on which it should be implemented are usually the ones from the `Iterator` implementation, probably refined to ensure we can iterate on both fronts simultaneously.
+
+### When to implement [`itertools::PeekingNext`](https://docs.rs/itertools/latest/itertools/trait.PeekingNext.html)
+TODO
+
+This is currently **tested** in `tests/test_std.rs`.
+
+## About lending iterators
+TODO
+
+
+## Other notes
+No guideline about using `#[inline]` yet.
+
+### `.fold` / `.for_each` / `.try_fold` / `.try_for_each`
+In the Rust standard library, it's quite common for `fold` to be implemented in terms of `try_fold`. But it's not something we do yet because we can not specialize `try_fold` methods yet (it uses the unstable `Try`).
+
+From [#781](https://github.com/rust-itertools/itertools/pull/781), the general rule to follow is something like this:
+
+- If you need to completely consume an iterator:
+ - Use `fold` if you need an _owned_ access to an accumulator.
+ - Use `for_each` otherwise.
+- If you need to partly consume an iterator, the same applies with `try_` versions:
+ - Use `try_fold` if you need an _owned_ access to an accumulator.
+ - Use `try_for_each` otherwise.
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+# will likely look very different (and much more reasonable).
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+
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diff --git a/vendor/itertools/LICENSE-APACHE b/vendor/itertools/LICENSE-APACHE
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index 00000000..16fe87b0
--- /dev/null
+++ b/vendor/itertools/LICENSE-APACHE
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+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
+ and distribution as defined by Sections 1 through 9 of this document.
+
+ "Licensor" shall mean the copyright owner or entity authorized by
+ the copyright owner that is granting the License.
+
+ "Legal Entity" shall mean the union of the acting entity and all
+ other entities that control, are controlled by, or are under common
+ control with that entity. For the purposes of this definition,
+ "control" means (i) the power, direct or indirect, to cause the
+ direction or management of such entity, whether by contract or
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
+ outstanding shares, or (iii) beneficial ownership of such entity.
+
+ "You" (or "Your") shall mean an individual or Legal Entity
+ exercising permissions granted by this License.
+
+ "Source" form shall mean the preferred form for making modifications,
+ including but not limited to software source code, documentation
+ source, and configuration files.
+
+ "Object" form shall mean any form resulting from mechanical
+ transformation or translation of a Source form, including but
+ not limited to compiled object code, generated documentation,
+ and conversions to other media types.
+
+ "Work" shall mean the work of authorship, whether in Source or
+ Object form, made available under the License, as indicated by a
+ copyright notice that is included in or attached to the work
+ (an example is provided in the Appendix below).
+
+ "Derivative Works" shall mean any work, whether in Source or Object
+ form, that is based on (or derived from) the Work and for which the
+ editorial revisions, annotations, elaborations, or other modifications
+ represent, as a whole, an original work of authorship. For the purposes
+ of this License, Derivative Works shall not include works that remain
+ separable from, or merely link (or bind by name) to the interfaces of,
+ the Work and Derivative Works thereof.
+
+ "Contribution" shall mean any work of authorship, including
+ the original version of the Work and any modifications or additions
+ to that Work or Derivative Works thereof, that is intentionally
+ submitted to Licensor for inclusion in the Work by the copyright owner
+ or by an individual or Legal Entity authorized to submit on behalf of
+ the copyright owner. For the purposes of this definition, "submitted"
+ means any form of electronic, verbal, or written communication sent
+ to the Licensor or its representatives, including but not limited to
+ communication on electronic mailing lists, source code control systems,
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+ Licensor for the purpose of discussing and improving the Work, but
+ excluding communication that is conspicuously marked or otherwise
+ designated in writing by the copyright owner as "Not a Contribution."
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+5. Submission of Contributions. Unless You explicitly state otherwise,
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+ by You to the Licensor shall be under the terms and conditions of
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+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
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+
+Unless required by applicable law or agreed to in writing, software
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diff --git a/vendor/itertools/LICENSE-MIT b/vendor/itertools/LICENSE-MIT
new file mode 100644
index 00000000..9203baa0
--- /dev/null
+++ b/vendor/itertools/LICENSE-MIT
@@ -0,0 +1,25 @@
+Copyright (c) 2015
+
+Permission is hereby granted, free of charge, to any
+person obtaining a copy of this software and associated
+documentation files (the "Software"), to deal in the
+Software without restriction, including without
+limitation the rights to use, copy, modify, merge,
+publish, distribute, sublicense, and/or sell copies of
+the Software, and to permit persons to whom the Software
+is furnished to do so, subject to the following
+conditions:
+
+The above copyright notice and this permission notice
+shall be included in all copies or substantial portions
+of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF
+ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED
+TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
+PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
+SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
+CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR
+IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+DEALINGS IN THE SOFTWARE.
diff --git a/vendor/itertools/README.md b/vendor/itertools/README.md
new file mode 100644
index 00000000..46acc3fc
--- /dev/null
+++ b/vendor/itertools/README.md
@@ -0,0 +1,33 @@
+# Itertools
+
+Extra iterator adaptors, functions and macros.
+
+Please read the [API documentation here](https://docs.rs/itertools/).
+
+How to use with Cargo:
+
+```toml
+[dependencies]
+itertools = "0.14.0"
+```
+
+How to use in your crate:
+
+```rust
+use itertools::Itertools;
+```
+
+## How to contribute
+If you're not sure what to work on, try checking the [help wanted](https://github.com/rust-itertools/itertools/issues?q=is%3Aopen+is%3Aissue+label%3A%22help+wanted%22) label.
+
+See our [CONTRIBUTING.md](https://github.com/rust-itertools/itertools/blob/master/CONTRIBUTING.md) for a detailed guide.
+
+## License
+
+Dual-licensed to be compatible with the Rust project.
+
+Licensed under the Apache License, Version 2.0
+https://www.apache.org/licenses/LICENSE-2.0 or the MIT license
+https://opensource.org/licenses/MIT, at your
+option. This file may not be copied, modified, or distributed
+except according to those terms.
diff --git a/vendor/itertools/benches/bench1.rs b/vendor/itertools/benches/bench1.rs
new file mode 100644
index 00000000..53e77b0d
--- /dev/null
+++ b/vendor/itertools/benches/bench1.rs
@@ -0,0 +1,767 @@
+use criterion::{black_box, criterion_group, criterion_main, BatchSize, Criterion};
+use itertools::free::cloned;
+use itertools::iproduct;
+use itertools::Itertools;
+
+use std::cmp;
+use std::iter::repeat;
+use std::ops::{Add, Range};
+
+fn slice_iter(c: &mut Criterion) {
+ let xs: Vec<_> = repeat(1i32).take(20).collect();
+
+ c.bench_function("slice iter", move |b| {
+ b.iter(|| {
+ for elt in xs.iter() {
+ black_box(elt);
+ }
+ })
+ });
+}
+
+fn slice_iter_rev(c: &mut Criterion) {
+ let xs: Vec<_> = repeat(1i32).take(20).collect();
+
+ c.bench_function("slice iter rev", move |b| {
+ b.iter(|| {
+ for elt in xs.iter().rev() {
+ black_box(elt);
+ }
+ })
+ });
+}
+
+fn zip_default_zip(c: &mut Criterion) {
+ let xs = vec![0; 1024];
+ let ys = vec![0; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zip default zip", move |b| {
+ b.iter(|| {
+ for (&x, &y) in xs.iter().zip(&ys) {
+ black_box(x);
+ black_box(y);
+ }
+ })
+ });
+}
+
+fn zipdot_i32_default_zip(c: &mut Criterion) {
+ let xs = vec![2; 1024];
+ let ys = vec![2; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot i32 default zip", move |b| {
+ b.iter(|| {
+ let mut s = 0;
+ for (&x, &y) in xs.iter().zip(&ys) {
+ s += x * y;
+ }
+ s
+ })
+ });
+}
+
+fn zipdot_f32_default_zip(c: &mut Criterion) {
+ let xs = vec![2f32; 1024];
+ let ys = vec![2f32; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot f32 default zip", move |b| {
+ b.iter(|| {
+ let mut s = 0.;
+ for (&x, &y) in xs.iter().zip(&ys) {
+ s += x * y;
+ }
+ s
+ })
+ });
+}
+
+fn zip_default_zip3(c: &mut Criterion) {
+ let xs = vec![0; 1024];
+ let ys = vec![0; 768];
+ let zs = vec![0; 766];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+ let zs = black_box(zs);
+
+ c.bench_function("zip default zip3", move |b| {
+ b.iter(|| {
+ for ((&x, &y), &z) in xs.iter().zip(&ys).zip(&zs) {
+ black_box(x);
+ black_box(y);
+ black_box(z);
+ }
+ })
+ });
+}
+
+fn zip_slices_ziptuple(c: &mut Criterion) {
+ let xs = vec![0; 1024];
+ let ys = vec![0; 768];
+
+ c.bench_function("zip slices ziptuple", move |b| {
+ b.iter(|| {
+ let xs = black_box(&xs);
+ let ys = black_box(&ys);
+ for (&x, &y) in itertools::multizip((xs, ys)) {
+ black_box(x);
+ black_box(y);
+ }
+ })
+ });
+}
+
+fn zip_checked_counted_loop(c: &mut Criterion) {
+ let xs = vec![0; 1024];
+ let ys = vec![0; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zip checked counted loop", move |b| {
+ b.iter(|| {
+ // Must slice to equal lengths, and then bounds checks are eliminated!
+ let len = cmp::min(xs.len(), ys.len());
+ let xs = &xs[..len];
+ let ys = &ys[..len];
+
+ for i in 0..len {
+ let x = xs[i];
+ let y = ys[i];
+ black_box(x);
+ black_box(y);
+ }
+ })
+ });
+}
+
+fn zipdot_i32_checked_counted_loop(c: &mut Criterion) {
+ let xs = vec![2; 1024];
+ let ys = vec![2; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot i32 checked counted loop", move |b| {
+ b.iter(|| {
+ // Must slice to equal lengths, and then bounds checks are eliminated!
+ let len = cmp::min(xs.len(), ys.len());
+ let xs = &xs[..len];
+ let ys = &ys[..len];
+
+ let mut s = 0i32;
+
+ for i in 0..len {
+ s += xs[i] * ys[i];
+ }
+ s
+ })
+ });
+}
+
+fn zipdot_f32_checked_counted_loop(c: &mut Criterion) {
+ let xs = vec![2f32; 1024];
+ let ys = vec![2f32; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot f32 checked counted loop", move |b| {
+ b.iter(|| {
+ // Must slice to equal lengths, and then bounds checks are eliminated!
+ let len = cmp::min(xs.len(), ys.len());
+ let xs = &xs[..len];
+ let ys = &ys[..len];
+
+ let mut s = 0.;
+
+ for i in 0..len {
+ s += xs[i] * ys[i];
+ }
+ s
+ })
+ });
+}
+
+fn zipdot_f32_checked_counted_unrolled_loop(c: &mut Criterion) {
+ let xs = vec![2f32; 1024];
+ let ys = vec![2f32; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot f32 checked counted unrolled loop", move |b| {
+ b.iter(|| {
+ // Must slice to equal lengths, and then bounds checks are eliminated!
+ let len = cmp::min(xs.len(), ys.len());
+ let mut xs = &xs[..len];
+ let mut ys = &ys[..len];
+
+ let mut s = 0.;
+ let (mut p0, mut p1, mut p2, mut p3, mut p4, mut p5, mut p6, mut p7) =
+ (0., 0., 0., 0., 0., 0., 0., 0.);
+
+ // how to unroll and have bounds checks eliminated (by cristicbz)
+ // split sum into eight parts to enable vectorization (by bluss)
+ while xs.len() >= 8 {
+ p0 += xs[0] * ys[0];
+ p1 += xs[1] * ys[1];
+ p2 += xs[2] * ys[2];
+ p3 += xs[3] * ys[3];
+ p4 += xs[4] * ys[4];
+ p5 += xs[5] * ys[5];
+ p6 += xs[6] * ys[6];
+ p7 += xs[7] * ys[7];
+
+ xs = &xs[8..];
+ ys = &ys[8..];
+ }
+ s += p0 + p4;
+ s += p1 + p5;
+ s += p2 + p6;
+ s += p3 + p7;
+
+ for i in 0..xs.len() {
+ s += xs[i] * ys[i];
+ }
+ s
+ })
+ });
+}
+
+fn zip_unchecked_counted_loop(c: &mut Criterion) {
+ let xs = vec![0; 1024];
+ let ys = vec![0; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zip unchecked counted loop", move |b| {
+ b.iter(|| {
+ let len = cmp::min(xs.len(), ys.len());
+ for i in 0..len {
+ unsafe {
+ let x = *xs.get_unchecked(i);
+ let y = *ys.get_unchecked(i);
+ black_box(x);
+ black_box(y);
+ }
+ }
+ })
+ });
+}
+
+fn zipdot_i32_unchecked_counted_loop(c: &mut Criterion) {
+ let xs = vec![2; 1024];
+ let ys = vec![2; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot i32 unchecked counted loop", move |b| {
+ b.iter(|| {
+ let len = cmp::min(xs.len(), ys.len());
+ let mut s = 0i32;
+ for i in 0..len {
+ unsafe {
+ let x = *xs.get_unchecked(i);
+ let y = *ys.get_unchecked(i);
+ s += x * y;
+ }
+ }
+ s
+ })
+ });
+}
+
+fn zipdot_f32_unchecked_counted_loop(c: &mut Criterion) {
+ let xs = vec![2.; 1024];
+ let ys = vec![2.; 768];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+
+ c.bench_function("zipdot f32 unchecked counted loop", move |b| {
+ b.iter(|| {
+ let len = cmp::min(xs.len(), ys.len());
+ let mut s = 0f32;
+ for i in 0..len {
+ unsafe {
+ let x = *xs.get_unchecked(i);
+ let y = *ys.get_unchecked(i);
+ s += x * y;
+ }
+ }
+ s
+ })
+ });
+}
+
+fn zip_unchecked_counted_loop3(c: &mut Criterion) {
+ let xs = vec![0; 1024];
+ let ys = vec![0; 768];
+ let zs = vec![0; 766];
+ let xs = black_box(xs);
+ let ys = black_box(ys);
+ let zs = black_box(zs);
+
+ c.bench_function("zip unchecked counted loop3", move |b| {
+ b.iter(|| {
+ let len = cmp::min(xs.len(), cmp::min(ys.len(), zs.len()));
+ for i in 0..len {
+ unsafe {
+ let x = *xs.get_unchecked(i);
+ let y = *ys.get_unchecked(i);
+ let z = *zs.get_unchecked(i);
+ black_box(x);
+ black_box(y);
+ black_box(z);
+ }
+ }
+ })
+ });
+}
+
+fn chunk_by_lazy_1(c: &mut Criterion) {
+ let mut data = vec![0; 1024];
+ for (index, elt) in data.iter_mut().enumerate() {
+ *elt = index / 10;
+ }
+
+ let data = black_box(data);
+
+ c.bench_function("chunk by lazy 1", move |b| {
+ b.iter(|| {
+ for (_key, chunk) in &data.iter().chunk_by(|elt| **elt) {
+ for elt in chunk {
+ black_box(elt);
+ }
+ }
+ })
+ });
+}
+
+fn chunk_by_lazy_2(c: &mut Criterion) {
+ let mut data = vec![0; 1024];
+ for (index, elt) in data.iter_mut().enumerate() {
+ *elt = index / 2;
+ }
+
+ let data = black_box(data);
+
+ c.bench_function("chunk by lazy 2", move |b| {
+ b.iter(|| {
+ for (_key, chunk) in &data.iter().chunk_by(|elt| **elt) {
+ for elt in chunk {
+ black_box(elt);
+ }
+ }
+ })
+ });
+}
+
+fn slice_chunks(c: &mut Criterion) {
+ let data = vec![0; 1024];
+
+ let data = black_box(data);
+ let sz = black_box(10);
+
+ c.bench_function("slice chunks", move |b| {
+ b.iter(|| {
+ for chunk in data.chunks(sz) {
+ for elt in chunk {
+ black_box(elt);
+ }
+ }
+ })
+ });
+}
+
+fn chunks_lazy_1(c: &mut Criterion) {
+ let data = vec![0; 1024];
+
+ let data = black_box(data);
+ let sz = black_box(10);
+
+ c.bench_function("chunks lazy 1", move |b| {
+ b.iter(|| {
+ for chunk in &data.iter().chunks(sz) {
+ for elt in chunk {
+ black_box(elt);
+ }
+ }
+ })
+ });
+}
+
+fn equal(c: &mut Criterion) {
+ let data = vec![7; 1024];
+ let l = data.len();
+ let alpha = black_box(&data[1..]);
+ let beta = black_box(&data[..l - 1]);
+
+ c.bench_function("equal", move |b| b.iter(|| itertools::equal(alpha, beta)));
+}
+
+fn merge_default(c: &mut Criterion) {
+ let mut data1 = vec![0; 1024];
+ let mut data2 = vec![0; 800];
+ let mut x = 0;
+
+ #[allow(clippy::explicit_counter_loop, clippy::unused_enumerate_index)]
+ for (_, elt) in data1.iter_mut().enumerate() {
+ *elt = x;
+ x += 1;
+ }
+
+ let mut y = 0;
+ for (i, elt) in data2.iter_mut().enumerate() {
+ *elt += y;
+ if i % 3 == 0 {
+ y += 3;
+ } else {
+ y += 0;
+ }
+ }
+ let data1 = black_box(data1);
+ let data2 = black_box(data2);
+
+ c.bench_function("merge default", move |b| {
+ b.iter(|| data1.iter().merge(&data2).count())
+ });
+}
+
+fn merge_by_cmp(c: &mut Criterion) {
+ let mut data1 = vec![0; 1024];
+ let mut data2 = vec![0; 800];
+ let mut x = 0;
+
+ #[allow(clippy::explicit_counter_loop, clippy::unused_enumerate_index)]
+ for (_, elt) in data1.iter_mut().enumerate() {
+ *elt = x;
+ x += 1;
+ }
+
+ let mut y = 0;
+ for (i, elt) in data2.iter_mut().enumerate() {
+ *elt += y;
+ if i % 3 == 0 {
+ y += 3;
+ } else {
+ y += 0;
+ }
+ }
+ let data1 = black_box(data1);
+ let data2 = black_box(data2);
+
+ c.bench_function("merge by cmp", move |b| {
+ b.iter(|| data1.iter().merge_by(&data2, PartialOrd::le).count())
+ });
+}
+
+fn merge_by_lt(c: &mut Criterion) {
+ let mut data1 = vec![0; 1024];
+ let mut data2 = vec![0; 800];
+ let mut x = 0;
+
+ #[allow(clippy::explicit_counter_loop, clippy::unused_enumerate_index)]
+ for (_, elt) in data1.iter_mut().enumerate() {
+ *elt = x;
+ x += 1;
+ }
+
+ let mut y = 0;
+ for (i, elt) in data2.iter_mut().enumerate() {
+ *elt += y;
+ if i % 3 == 0 {
+ y += 3;
+ } else {
+ y += 0;
+ }
+ }
+ let data1 = black_box(data1);
+ let data2 = black_box(data2);
+
+ c.bench_function("merge by lt", move |b| {
+ b.iter(|| data1.iter().merge_by(&data2, |a, b| a <= b).count())
+ });
+}
+
+fn kmerge_default(c: &mut Criterion) {
+ let mut data1 = vec![0; 1024];
+ let mut data2 = vec![0; 800];
+ let mut x = 0;
+
+ #[allow(clippy::explicit_counter_loop, clippy::unused_enumerate_index)]
+ for (_, elt) in data1.iter_mut().enumerate() {
+ *elt = x;
+ x += 1;
+ }
+
+ let mut y = 0;
+ for (i, elt) in data2.iter_mut().enumerate() {
+ *elt += y;
+ if i % 3 == 0 {
+ y += 3;
+ } else {
+ y += 0;
+ }
+ }
+ let data1 = black_box(data1);
+ let data2 = black_box(data2);
+ let its = &[data1.iter(), data2.iter()];
+
+ c.bench_function("kmerge default", move |b| {
+ b.iter(|| its.iter().cloned().kmerge().count())
+ });
+}
+
+fn kmerge_tenway(c: &mut Criterion) {
+ let mut data = vec![0; 10240];
+
+ let mut state = 1729u16;
+ fn rng(state: &mut u16) -> u16 {
+ let new = state.wrapping_mul(31421).wrapping_add(6927);
+ *state = new;
+ new
+ }
+
+ for elt in &mut data {
+ *elt = rng(&mut state);
+ }
+
+ let mut chunks = Vec::new();
+ let mut rest = &mut data[..];
+ while !rest.is_empty() {
+ let chunk_len = 1 + rng(&mut state) % 512;
+ let chunk_len = cmp::min(rest.len(), chunk_len as usize);
+ let (fst, tail) = { rest }.split_at_mut(chunk_len);
+ fst.sort();
+ chunks.push(fst.iter().cloned());
+ rest = tail;
+ }
+
+ // println!("Chunk lengths: {}", chunks.iter().format_with(", ", |elt, f| f(&elt.len())));
+
+ c.bench_function("kmerge tenway", move |b| {
+ b.iter(|| chunks.iter().cloned().kmerge().count())
+ });
+}
+
+fn fast_integer_sum<I>(iter: I) -> I::Item
+where
+ I: IntoIterator,
+ I::Item: Default + Add<Output = I::Item>,
+{
+ iter.into_iter().fold(<_>::default(), |x, y| x + y)
+}
+
+fn step_vec_2(c: &mut Criterion) {
+ let v = vec![0; 1024];
+
+ c.bench_function("step vec 2", move |b| {
+ b.iter(|| fast_integer_sum(cloned(v.iter().step_by(2))))
+ });
+}
+
+fn step_vec_10(c: &mut Criterion) {
+ let v = vec![0; 1024];
+
+ c.bench_function("step vec 10", move |b| {
+ b.iter(|| fast_integer_sum(cloned(v.iter().step_by(10))))
+ });
+}
+
+fn step_range_2(c: &mut Criterion) {
+ let v = black_box(0..1024);
+
+ c.bench_function("step range 2", move |b| {
+ b.iter(|| fast_integer_sum(v.clone().step_by(2)))
+ });
+}
+
+fn step_range_10(c: &mut Criterion) {
+ let v = black_box(0..1024);
+
+ c.bench_function("step range 10", move |b| {
+ b.iter(|| fast_integer_sum(v.clone().step_by(10)))
+ });
+}
+
+fn vec_iter_mut_partition(c: &mut Criterion) {
+ let data = std::iter::repeat(-1024i32..1024)
+ .take(256)
+ .flatten()
+ .collect_vec();
+ c.bench_function("vec iter mut partition", move |b| {
+ b.iter_batched(
+ || data.clone(),
+ |mut data| {
+ black_box(itertools::partition(black_box(&mut data), |n| *n >= 0));
+ },
+ BatchSize::LargeInput,
+ )
+ });
+}
+
+fn cartesian_product_iterator(c: &mut Criterion) {
+ let xs = vec![0; 16];
+
+ c.bench_function("cartesian product iterator", move |b| {
+ b.iter(|| {
+ let mut sum = 0;
+ for (&x, &y, &z) in iproduct!(&xs, &xs, &xs) {
+ sum += x;
+ sum += y;
+ sum += z;
+ }
+ sum
+ })
+ });
+}
+
+fn multi_cartesian_product_iterator(c: &mut Criterion) {
+ let xs = [vec![0; 16], vec![0; 16], vec![0; 16]];
+
+ c.bench_function("multi cartesian product iterator", move |b| {
+ b.iter(|| {
+ let mut sum = 0;
+ for x in xs.iter().multi_cartesian_product() {
+ sum += x[0];
+ sum += x[1];
+ sum += x[2];
+ }
+ sum
+ })
+ });
+}
+
+fn cartesian_product_nested_for(c: &mut Criterion) {
+ let xs = vec![0; 16];
+
+ c.bench_function("cartesian product nested for", move |b| {
+ b.iter(|| {
+ let mut sum = 0;
+ for &x in &xs {
+ for &y in &xs {
+ for &z in &xs {
+ sum += x;
+ sum += y;
+ sum += z;
+ }
+ }
+ }
+ sum
+ })
+ });
+}
+
+fn all_equal(c: &mut Criterion) {
+ let mut xs = vec![0; 5_000_000];
+ xs.extend(vec![1; 5_000_000]);
+
+ c.bench_function("all equal", move |b| b.iter(|| xs.iter().all_equal()));
+}
+
+fn all_equal_for(c: &mut Criterion) {
+ let mut xs = vec![0; 5_000_000];
+ xs.extend(vec![1; 5_000_000]);
+
+ c.bench_function("all equal for", move |b| {
+ b.iter(|| {
+ for &x in &xs {
+ if x != xs[0] {
+ return false;
+ }
+ }
+ true
+ })
+ });
+}
+
+fn all_equal_default(c: &mut Criterion) {
+ let mut xs = vec![0; 5_000_000];
+ xs.extend(vec![1; 5_000_000]);
+
+ c.bench_function("all equal default", move |b| {
+ b.iter(|| xs.iter().dedup().nth(1).is_none())
+ });
+}
+
+const PERM_COUNT: usize = 6;
+
+fn permutations_iter(c: &mut Criterion) {
+ struct NewIterator(Range<usize>);
+
+ impl Iterator for NewIterator {
+ type Item = usize;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ self.0.next()
+ }
+ }
+
+ c.bench_function("permutations iter", move |b| {
+ b.iter(
+ || {
+ for _ in NewIterator(0..PERM_COUNT).permutations(PERM_COUNT) {}
+ },
+ )
+ });
+}
+
+fn permutations_range(c: &mut Criterion) {
+ c.bench_function("permutations range", move |b| {
+ b.iter(|| for _ in (0..PERM_COUNT).permutations(PERM_COUNT) {})
+ });
+}
+
+fn permutations_slice(c: &mut Criterion) {
+ let v = (0..PERM_COUNT).collect_vec();
+
+ c.bench_function("permutations slice", move |b| {
+ b.iter(|| for _ in v.as_slice().iter().permutations(PERM_COUNT) {})
+ });
+}
+
+criterion_group!(
+ benches,
+ slice_iter,
+ slice_iter_rev,
+ zip_default_zip,
+ zipdot_i32_default_zip,
+ zipdot_f32_default_zip,
+ zip_default_zip3,
+ zip_slices_ziptuple,
+ zip_checked_counted_loop,
+ zipdot_i32_checked_counted_loop,
+ zipdot_f32_checked_counted_loop,
+ zipdot_f32_checked_counted_unrolled_loop,
+ zip_unchecked_counted_loop,
+ zipdot_i32_unchecked_counted_loop,
+ zipdot_f32_unchecked_counted_loop,
+ zip_unchecked_counted_loop3,
+ chunk_by_lazy_1,
+ chunk_by_lazy_2,
+ slice_chunks,
+ chunks_lazy_1,
+ equal,
+ merge_default,
+ merge_by_cmp,
+ merge_by_lt,
+ kmerge_default,
+ kmerge_tenway,
+ step_vec_2,
+ step_vec_10,
+ step_range_2,
+ step_range_10,
+ vec_iter_mut_partition,
+ cartesian_product_iterator,
+ multi_cartesian_product_iterator,
+ cartesian_product_nested_for,
+ all_equal,
+ all_equal_for,
+ all_equal_default,
+ permutations_iter,
+ permutations_range,
+ permutations_slice,
+);
+criterion_main!(benches);
diff --git a/vendor/itertools/benches/combinations.rs b/vendor/itertools/benches/combinations.rs
new file mode 100644
index 00000000..42a45211
--- /dev/null
+++ b/vendor/itertools/benches/combinations.rs
@@ -0,0 +1,117 @@
+use criterion::{black_box, criterion_group, criterion_main, Criterion};
+use itertools::Itertools;
+
+// approximate 100_000 iterations for each combination
+const N1: usize = 100_000;
+const N2: usize = 448;
+const N3: usize = 86;
+const N4: usize = 41;
+const N14: usize = 21;
+
+fn comb_for1(c: &mut Criterion) {
+ c.bench_function("comb for1", move |b| {
+ b.iter(|| {
+ for i in 0..N1 {
+ black_box(vec![i]);
+ }
+ })
+ });
+}
+
+fn comb_for2(c: &mut Criterion) {
+ c.bench_function("comb for2", move |b| {
+ b.iter(|| {
+ for i in 0..N2 {
+ for j in (i + 1)..N2 {
+ black_box(vec![i, j]);
+ }
+ }
+ })
+ });
+}
+
+fn comb_for3(c: &mut Criterion) {
+ c.bench_function("comb for3", move |b| {
+ b.iter(|| {
+ for i in 0..N3 {
+ for j in (i + 1)..N3 {
+ for k in (j + 1)..N3 {
+ black_box(vec![i, j, k]);
+ }
+ }
+ }
+ })
+ });
+}
+
+fn comb_for4(c: &mut Criterion) {
+ c.bench_function("comb for4", move |b| {
+ b.iter(|| {
+ for i in 0..N4 {
+ for j in (i + 1)..N4 {
+ for k in (j + 1)..N4 {
+ for l in (k + 1)..N4 {
+ black_box(vec![i, j, k, l]);
+ }
+ }
+ }
+ }
+ })
+ });
+}
+
+fn comb_c1(c: &mut Criterion) {
+ c.bench_function("comb c1", move |b| {
+ b.iter(|| {
+ for combo in (0..N1).combinations(1) {
+ black_box(combo);
+ }
+ })
+ });
+}
+
+fn comb_c2(c: &mut Criterion) {
+ c.bench_function("comb c2", move |b| {
+ b.iter(|| {
+ for combo in (0..N2).combinations(2) {
+ black_box(combo);
+ }
+ })
+ });
+}
+
+fn comb_c3(c: &mut Criterion) {
+ c.bench_function("comb c3", move |b| {
+ b.iter(|| {
+ for combo in (0..N3).combinations(3) {
+ black_box(combo);
+ }
+ })
+ });
+}
+
+fn comb_c4(c: &mut Criterion) {
+ c.bench_function("comb c4", move |b| {
+ b.iter(|| {
+ for combo in (0..N4).combinations(4) {
+ black_box(combo);
+ }
+ })
+ });
+}
+
+fn comb_c14(c: &mut Criterion) {
+ c.bench_function("comb c14", move |b| {
+ b.iter(|| {
+ for combo in (0..N14).combinations(14) {
+ black_box(combo);
+ }
+ })
+ });
+}
+
+criterion_group!(
+ benches, comb_for1, comb_for2, comb_for3, comb_for4, comb_c1, comb_c2, comb_c3, comb_c4,
+ comb_c14,
+);
+criterion_main!(benches);
diff --git a/vendor/itertools/benches/combinations_with_replacement.rs b/vendor/itertools/benches/combinations_with_replacement.rs
new file mode 100644
index 00000000..8e4fa3dc
--- /dev/null
+++ b/vendor/itertools/benches/combinations_with_replacement.rs
@@ -0,0 +1,40 @@
+use criterion::{black_box, criterion_group, criterion_main, Criterion};
+use itertools::Itertools;
+
+fn comb_replacement_n10_k5(c: &mut Criterion) {
+ c.bench_function("comb replacement n10k5", move |b| {
+ b.iter(|| {
+ for i in (0..10).combinations_with_replacement(5) {
+ black_box(i);
+ }
+ })
+ });
+}
+
+fn comb_replacement_n5_k10(c: &mut Criterion) {
+ c.bench_function("comb replacement n5 k10", move |b| {
+ b.iter(|| {
+ for i in (0..5).combinations_with_replacement(10) {
+ black_box(i);
+ }
+ })
+ });
+}
+
+fn comb_replacement_n10_k10(c: &mut Criterion) {
+ c.bench_function("comb replacement n10 k10", move |b| {
+ b.iter(|| {
+ for i in (0..10).combinations_with_replacement(10) {
+ black_box(i);
+ }
+ })
+ });
+}
+
+criterion_group!(
+ benches,
+ comb_replacement_n10_k5,
+ comb_replacement_n5_k10,
+ comb_replacement_n10_k10,
+);
+criterion_main!(benches);
diff --git a/vendor/itertools/benches/fold_specialization.rs b/vendor/itertools/benches/fold_specialization.rs
new file mode 100644
index 00000000..b44f3472
--- /dev/null
+++ b/vendor/itertools/benches/fold_specialization.rs
@@ -0,0 +1,75 @@
+#![allow(unstable_name_collisions)]
+
+use criterion::{criterion_group, criterion_main, Criterion};
+use itertools::Itertools;
+
+struct Unspecialized<I>(I);
+
+impl<I> Iterator for Unspecialized<I>
+where
+ I: Iterator,
+{
+ type Item = I::Item;
+
+ #[inline(always)]
+ fn next(&mut self) -> Option<Self::Item> {
+ self.0.next()
+ }
+
+ #[inline(always)]
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ self.0.size_hint()
+ }
+}
+
+mod specialization {
+ use super::*;
+
+ pub mod intersperse {
+ use super::*;
+
+ pub fn external(c: &mut Criterion) {
+ let arr = [1; 1024];
+
+ c.bench_function("external", move |b| {
+ b.iter(|| {
+ let mut sum = 0;
+ for &x in arr.iter().intersperse(&0) {
+ sum += x;
+ }
+ sum
+ })
+ });
+ }
+
+ pub fn internal_specialized(c: &mut Criterion) {
+ let arr = [1; 1024];
+
+ c.bench_function("internal specialized", move |b| {
+ b.iter(|| {
+ #[allow(clippy::unnecessary_fold)]
+ arr.iter().intersperse(&0).fold(0, |acc, x| acc + x)
+ })
+ });
+ }
+
+ pub fn internal_unspecialized(c: &mut Criterion) {
+ let arr = [1; 1024];
+
+ c.bench_function("internal unspecialized", move |b| {
+ b.iter(|| {
+ #[allow(clippy::unnecessary_fold)]
+ Unspecialized(arr.iter().intersperse(&0)).fold(0, |acc, x| acc + x)
+ })
+ });
+ }
+ }
+}
+
+criterion_group!(
+ benches,
+ specialization::intersperse::external,
+ specialization::intersperse::internal_specialized,
+ specialization::intersperse::internal_unspecialized,
+);
+criterion_main!(benches);
diff --git a/vendor/itertools/benches/k_smallest.rs b/vendor/itertools/benches/k_smallest.rs
new file mode 100644
index 00000000..509ed7f8
--- /dev/null
+++ b/vendor/itertools/benches/k_smallest.rs
@@ -0,0 +1,61 @@
+use criterion::{black_box, criterion_group, criterion_main, Bencher, BenchmarkId, Criterion};
+use itertools::Itertools;
+use rand::{rngs::StdRng, seq::SliceRandom, SeedableRng};
+
+fn strict(b: &mut Bencher, (k, vals): &(usize, &Vec<usize>)) {
+ b.iter(|| black_box(vals.iter()).k_smallest(*k))
+}
+
+fn relaxed(b: &mut Bencher, (k, vals): &(usize, &Vec<usize>)) {
+ b.iter(|| black_box(vals.iter()).k_smallest_relaxed(*k))
+}
+
+fn ascending(n: usize) -> Vec<usize> {
+ (0..n).collect()
+}
+
+fn random(n: usize) -> Vec<usize> {
+ let mut vals = (0..n).collect_vec();
+ vals.shuffle(&mut StdRng::seed_from_u64(42));
+ vals
+}
+
+fn descending(n: usize) -> Vec<usize> {
+ (0..n).rev().collect()
+}
+
+fn k_smallest(c: &mut Criterion, order: &str, vals: fn(usize) -> Vec<usize>) {
+ let mut g = c.benchmark_group(format!("k-smallest/{order}"));
+
+ for log_n in 20..23 {
+ let n = 1 << log_n;
+
+ let vals = vals(n);
+
+ for log_k in 7..10 {
+ let k = 1 << log_k;
+
+ let params = format!("{log_n}/{log_k}");
+ let input = (k, &vals);
+ g.bench_with_input(BenchmarkId::new("strict", &params), &input, strict);
+ g.bench_with_input(BenchmarkId::new("relaxed", &params), &input, relaxed);
+ }
+ }
+
+ g.finish()
+}
+
+fn k_smallest_asc(c: &mut Criterion) {
+ k_smallest(c, "asc", ascending);
+}
+
+fn k_smallest_rand(c: &mut Criterion) {
+ k_smallest(c, "rand", random);
+}
+
+fn k_smallest_desc(c: &mut Criterion) {
+ k_smallest(c, "desc", descending);
+}
+
+criterion_group!(benches, k_smallest_asc, k_smallest_rand, k_smallest_desc);
+criterion_main!(benches);
diff --git a/vendor/itertools/benches/powerset.rs b/vendor/itertools/benches/powerset.rs
new file mode 100644
index 00000000..018333d3
--- /dev/null
+++ b/vendor/itertools/benches/powerset.rs
@@ -0,0 +1,97 @@
+use criterion::{black_box, criterion_group, criterion_main, Criterion};
+use itertools::Itertools;
+
+// Keep aggregate generated elements the same, regardless of powerset length.
+const TOTAL_ELEMENTS: usize = 1 << 12;
+const fn calc_iters(n: usize) -> usize {
+ TOTAL_ELEMENTS / (1 << n)
+}
+
+fn powerset_n(c: &mut Criterion, n: usize) {
+ let id = format!("powerset {}", n);
+ c.bench_function(id.as_str(), move |b| {
+ b.iter(|| {
+ for _ in 0..calc_iters(n) {
+ for elt in (0..n).powerset() {
+ black_box(elt);
+ }
+ }
+ })
+ });
+}
+
+fn powerset_n_fold(c: &mut Criterion, n: usize) {
+ let id = format!("powerset {} fold", n);
+ c.bench_function(id.as_str(), move |b| {
+ b.iter(|| {
+ for _ in 0..calc_iters(n) {
+ (0..n).powerset().fold(0, |s, elt| s + black_box(elt).len());
+ }
+ })
+ });
+}
+
+fn powerset_0(c: &mut Criterion) {
+ powerset_n(c, 0);
+}
+
+fn powerset_1(c: &mut Criterion) {
+ powerset_n(c, 1);
+}
+
+fn powerset_2(c: &mut Criterion) {
+ powerset_n(c, 2);
+}
+
+fn powerset_4(c: &mut Criterion) {
+ powerset_n(c, 4);
+}
+
+fn powerset_8(c: &mut Criterion) {
+ powerset_n(c, 8);
+}
+
+fn powerset_12(c: &mut Criterion) {
+ powerset_n(c, 12);
+}
+
+fn powerset_0_fold(c: &mut Criterion) {
+ powerset_n_fold(c, 0);
+}
+
+fn powerset_1_fold(c: &mut Criterion) {
+ powerset_n_fold(c, 1);
+}
+
+fn powerset_2_fold(c: &mut Criterion) {
+ powerset_n_fold(c, 2);
+}
+
+fn powerset_4_fold(c: &mut Criterion) {
+ powerset_n_fold(c, 4);
+}
+
+fn powerset_8_fold(c: &mut Criterion) {
+ powerset_n_fold(c, 8);
+}
+
+fn powerset_12_fold(c: &mut Criterion) {
+ powerset_n_fold(c, 12);
+}
+
+criterion_group!(
+ benches,
+ powerset_0,
+ powerset_1,
+ powerset_2,
+ powerset_4,
+ powerset_8,
+ powerset_12,
+ powerset_0_fold,
+ powerset_1_fold,
+ powerset_2_fold,
+ powerset_4_fold,
+ powerset_8_fold,
+ powerset_12_fold,
+);
+criterion_main!(benches);
diff --git a/vendor/itertools/benches/specializations.rs b/vendor/itertools/benches/specializations.rs
new file mode 100644
index 00000000..e70323f8
--- /dev/null
+++ b/vendor/itertools/benches/specializations.rs
@@ -0,0 +1,669 @@
+#![allow(unstable_name_collisions)]
+
+use criterion::black_box;
+use criterion::BenchmarkId;
+use itertools::Itertools;
+
+const NTH_INPUTS: &[usize] = &[0, 1, 2, 4, 8];
+
+/// Create multiple functions each defining a benchmark group about iterator methods.
+///
+/// Each created group has functions with the following ids:
+///
+/// - `next`, `size_hint`, `count`, `last`, `nth`, `collect`, `fold`
+/// - and when marked as `DoubleEndedIterator`: `next_back`, `nth_back`, `rfold`
+/// - and when marked as `ExactSizeIterator`: `len`
+///
+/// Note that this macro can be called only once.
+macro_rules! bench_specializations {
+ (
+ $(
+ $name:ident {
+ $($extra:ident)*
+ {$(
+ $init:stmt;
+ )*}
+ $iterator:expr
+ }
+ )*
+ ) => {
+ $(
+ #[allow(unused_must_use)]
+ fn $name(c: &mut ::criterion::Criterion) {
+ let mut bench_group = c.benchmark_group(stringify!($name));
+ $(
+ $init
+ )*
+ let bench_first_its = {
+ let mut bench_idx = 0;
+ [0; 1000].map(|_| {
+ let mut it = $iterator;
+ if bench_idx != 0 {
+ it.nth(bench_idx - 1);
+ }
+ bench_idx += 1;
+ it
+ })
+ };
+ bench_specializations!(@Iterator bench_group bench_first_its: $iterator);
+ $(
+ bench_specializations!(@$extra bench_group bench_first_its: $iterator);
+ )*
+ bench_group.finish();
+ }
+ )*
+
+ ::criterion::criterion_group!(benches, $($name, )*);
+ ::criterion::criterion_main!(benches);
+ };
+
+ (@Iterator $group:ident $first_its:ident: $iterator:expr) => {
+ $group.bench_function("next", |bencher| bencher.iter(|| {
+ let mut it = $iterator;
+ while let Some(x) = it.next() {
+ black_box(x);
+ }
+ }));
+ $group.bench_function("size_hint", |bencher| bencher.iter(|| {
+ $first_its.iter().for_each(|it| {
+ black_box(it.size_hint());
+ })
+ }));
+ $group.bench_function("count", |bencher| bencher.iter(|| {
+ $iterator.count()
+ }));
+ $group.bench_function("last", |bencher| bencher.iter(|| {
+ $iterator.last()
+ }));
+ for n in NTH_INPUTS {
+ $group.bench_with_input(BenchmarkId::new("nth", n), n, |bencher, n| bencher.iter(|| {
+ for start in 0_usize..10 {
+ let mut it = $iterator;
+ if let Some(s) = start.checked_sub(1) {
+ black_box(it.nth(s));
+ }
+ while let Some(x) = it.nth(*n) {
+ black_box(x);
+ }
+ }
+ }));
+ }
+ $group.bench_function("collect", |bencher| bencher.iter(|| {
+ $iterator.collect::<Vec<_>>()
+ }));
+ $group.bench_function("fold", |bencher| bencher.iter(|| {
+ $iterator.fold((), |(), x| {
+ black_box(x);
+ })
+ }));
+ };
+
+ (@DoubleEndedIterator $group:ident $_first_its:ident: $iterator:expr) => {
+ $group.bench_function("next_back", |bencher| bencher.iter(|| {
+ let mut it = $iterator;
+ while let Some(x) = it.next_back() {
+ black_box(x);
+ }
+ }));
+ for n in NTH_INPUTS {
+ $group.bench_with_input(BenchmarkId::new("nth_back", n), n, |bencher, n| bencher.iter(|| {
+ for start in 0_usize..10 {
+ let mut it = $iterator;
+ if let Some(s) = start.checked_sub(1) {
+ black_box(it.nth_back(s));
+ }
+ while let Some(x) = it.nth_back(*n) {
+ black_box(x);
+ }
+ }
+ }));
+ }
+ $group.bench_function("rfold", |bencher| bencher.iter(|| {
+ $iterator.rfold((), |(), x| {
+ black_box(x);
+ })
+ }));
+ };
+
+ (@ExactSizeIterator $group:ident $first_its:ident: $_iterator:expr) => {
+ $group.bench_function("len", |bencher| bencher.iter(|| {
+ $first_its.iter().for_each(|it| {
+ black_box(it.len());
+ })
+ }));
+ };
+}
+
+// Usage examples:
+// - For `ZipLongest::fold` only:
+// cargo bench --bench specializations zip_longest/fold
+// - For `.combinations(k).nth(8)`:
+// cargo bench --bench specializations combinations./nth/8
+bench_specializations! {
+ interleave {
+ {
+ let v1 = black_box(vec![0; 1024]);
+ let v2 = black_box(vec![0; 768]);
+ }
+ v1.iter().interleave(&v2)
+ }
+ interleave_shortest {
+ {
+ let v1 = black_box(vec![0; 1024]);
+ let v2 = black_box(vec![0; 768]);
+ }
+ v1.iter().interleave_shortest(&v2)
+ }
+ batching {
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().batching(Iterator::next)
+ }
+ tuple_windows1 {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().tuple_windows::<(_,)>()
+ }
+ tuple_windows2 {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().tuple_windows::<(_, _)>()
+ }
+ tuple_windows3 {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().tuple_windows::<(_, _, _)>()
+ }
+ tuple_windows4 {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().tuple_windows::<(_, _, _, _)>()
+ }
+ circular_tuple_windows1 {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().circular_tuple_windows::<(_,)>()
+ }
+ circular_tuple_windows2 {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().circular_tuple_windows::<(_, _)>()
+ }
+ circular_tuple_windows3 {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().circular_tuple_windows::<(_, _, _)>()
+ }
+ circular_tuple_windows4 {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().circular_tuple_windows::<(_, _, _, _)>()
+ }
+ tuples1 {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().tuples::<(_,)>()
+ }
+ tuples2 {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().tuples::<(_, _)>()
+ }
+ tuples3 {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().tuples::<(_, _, _)>()
+ }
+ tuples4 {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().tuples::<(_, _, _, _)>()
+ }
+ tuple_buffer {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 11]);
+ // Short but the buffer can't have 12 or more elements.
+ }
+ {
+ let mut it = v.iter().tuples::<(_, _, _, _, _, _, _, _, _, _, _, _)>();
+ it.next(); // No element but it fills the buffer.
+ it.into_buffer()
+ }
+ }
+ cartesian_product {
+ {
+ let v = black_box(vec![0; 16]);
+ }
+ itertools::iproduct!(&v, &v, &v)
+ }
+ multi_cartesian_product {
+ {
+ let vs = black_box([0; 3].map(|_| vec![0; 16]));
+ }
+ vs.iter().multi_cartesian_product()
+ }
+ coalesce {
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().coalesce(|x, y| if x == y { Ok(x) } else { Err((x, y)) })
+ }
+ dedup {
+ {
+ let v = black_box((0..32).flat_map(|x| [x; 32]).collect_vec());
+ }
+ v.iter().dedup()
+ }
+ dedup_by {
+ {
+ let v = black_box((0..32).flat_map(|x| [x; 32]).collect_vec());
+ }
+ v.iter().dedup_by(PartialOrd::ge)
+ }
+ dedup_with_count {
+ {
+ let v = black_box((0..32).flat_map(|x| [x; 32]).collect_vec());
+ }
+ v.iter().dedup_with_count()
+ }
+ dedup_by_with_count {
+ {
+ let v = black_box((0..32).flat_map(|x| [x; 32]).collect_vec());
+ }
+ v.iter().dedup_by_with_count(PartialOrd::ge)
+ }
+ duplicates {
+ DoubleEndedIterator
+ {
+ let v = black_box((0..32).cycle().take(1024).collect_vec());
+ }
+ v.iter().duplicates()
+ }
+ duplicates_by {
+ DoubleEndedIterator
+ {
+ let v = black_box((0..1024).collect_vec());
+ }
+ v.iter().duplicates_by(|x| *x % 10)
+ }
+ unique {
+ DoubleEndedIterator
+ {
+ let v = black_box((0..32).cycle().take(1024).collect_vec());
+ }
+ v.iter().unique()
+ }
+ unique_by {
+ DoubleEndedIterator
+ {
+ let v = black_box((0..1024).collect_vec());
+ }
+ v.iter().unique_by(|x| *x % 50)
+ }
+ take_while_inclusive {
+ {
+ let v = black_box((0..1024).collect_vec());
+ }
+ v.iter().take_while_inclusive(|x| **x < 1000)
+ }
+ pad_using {
+ DoubleEndedIterator
+ ExactSizeIterator
+ {
+ let v = black_box((0..1024).collect_vec());
+ }
+ v.iter().copied().pad_using(2048, |i| 5 * i)
+ }
+ positions {
+ DoubleEndedIterator
+ {
+ let v = black_box((0..1024).collect_vec());
+ }
+ v.iter().positions(|x| x % 5 == 0)
+ }
+ update {
+ DoubleEndedIterator
+ ExactSizeIterator
+ {
+ let v = black_box((0_i32..1024).collect_vec());
+ }
+ v.iter().copied().update(|x| *x *= 7)
+ }
+ tuple_combinations1 {
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().tuple_combinations::<(_,)>()
+ }
+ tuple_combinations2 {
+ {
+ let v = black_box(vec![0; 64]);
+ }
+ v.iter().tuple_combinations::<(_, _)>()
+ }
+ tuple_combinations3 {
+ {
+ let v = black_box(vec![0; 64]);
+ }
+ v.iter().tuple_combinations::<(_, _, _)>()
+ }
+ tuple_combinations4 {
+ {
+ let v = black_box(vec![0; 64]);
+ }
+ v.iter().tuple_combinations::<(_, _, _, _)>()
+ }
+ intersperse {
+ {
+ let v = black_box(vec![0; 1024]);
+ let n = black_box(0);
+ }
+ v.iter().intersperse(&n)
+ }
+ intersperse_with {
+ {
+ let v = black_box(vec![0; 1024]);
+ let n = black_box(0);
+ }
+ v.iter().intersperse_with(|| &n)
+ }
+ combinations1 {
+ {
+ let v = black_box(vec![0; 1792]);
+ }
+ v.iter().combinations(1)
+ }
+ combinations2 {
+ {
+ let v = black_box(vec![0; 60]);
+ }
+ v.iter().combinations(2)
+ }
+ combinations3 {
+ {
+ let v = black_box(vec![0; 23]);
+ }
+ v.iter().combinations(3)
+ }
+ combinations4 {
+ {
+ let v = black_box(vec![0; 16]);
+ }
+ v.iter().combinations(4)
+ }
+ combinations_with_replacement1 {
+ {
+ let v = black_box(vec![0; 4096]);
+ }
+ v.iter().combinations_with_replacement(1)
+ }
+ combinations_with_replacement2 {
+ {
+ let v = black_box(vec![0; 90]);
+ }
+ v.iter().combinations_with_replacement(2)
+ }
+ combinations_with_replacement3 {
+ {
+ let v = black_box(vec![0; 28]);
+ }
+ v.iter().combinations_with_replacement(3)
+ }
+ combinations_with_replacement4 {
+ {
+ let v = black_box(vec![0; 16]);
+ }
+ v.iter().combinations_with_replacement(4)
+ }
+ permutations1 {
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().permutations(1)
+ }
+ permutations2 {
+ {
+ let v = black_box(vec![0; 36]);
+ }
+ v.iter().permutations(2)
+ }
+ permutations3 {
+ {
+ let v = black_box(vec![0; 12]);
+ }
+ v.iter().permutations(3)
+ }
+ permutations4 {
+ {
+ let v = black_box(vec![0; 8]);
+ }
+ v.iter().permutations(4)
+ }
+ powerset {
+ {
+ let v = black_box(vec![0; 10]);
+ }
+ v.iter().powerset()
+ }
+ while_some {
+ {}
+ (0..)
+ .map(black_box)
+ .map(|i| char::from_digit(i, 16))
+ .while_some()
+ }
+ with_position {
+ ExactSizeIterator
+ {
+ let v = black_box((0..10240).collect_vec());
+ }
+ v.iter().with_position()
+ }
+ zip_longest {
+ DoubleEndedIterator
+ ExactSizeIterator
+ {
+ let xs = black_box(vec![0; 1024]);
+ let ys = black_box(vec![0; 768]);
+ }
+ xs.iter().zip_longest(ys.iter())
+ }
+ zip_eq {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ v.iter().zip_eq(v.iter().rev())
+ }
+ multizip {
+ DoubleEndedIterator
+ ExactSizeIterator
+ {
+ let v1 = black_box(vec![0; 1024]);
+ let v2 = black_box(vec![0; 768]);
+ let v3 = black_box(vec![0; 2048]);
+ }
+ itertools::multizip((&v1, &v2, &v3))
+ }
+ izip {
+ DoubleEndedIterator
+ ExactSizeIterator
+ {
+ let v1 = black_box(vec![0; 1024]);
+ let v2 = black_box(vec![0; 768]);
+ let v3 = black_box(vec![0; 2048]);
+ }
+ itertools::izip!(&v1, &v2, &v3)
+ }
+ put_back {
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ itertools::put_back(&v).with_value(black_box(&0))
+ }
+ put_back_n {
+ {
+ let v1 = black_box(vec![0; 1024]);
+ let v2 = black_box(vec![0; 16]);
+ }
+ {
+ let mut it = itertools::put_back_n(&v1);
+ for n in &v2 {
+ it.put_back(n);
+ }
+ it
+ }
+ }
+ exactly_one_error {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ }
+ // Use `at_most_one` would be similar.
+ v.iter().exactly_one().unwrap_err()
+ }
+ multipeek {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ let n = black_box(16);
+ }
+ {
+ let mut it = v.iter().multipeek();
+ for _ in 0..n {
+ it.peek();
+ }
+ it
+ }
+ }
+ peek_nth {
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0; 1024]);
+ let n = black_box(16);
+ }
+ {
+ let mut it = itertools::peek_nth(&v);
+ it.peek_nth(n);
+ it
+ }
+ }
+ repeat_n {
+ DoubleEndedIterator
+ ExactSizeIterator
+ {}
+ itertools::repeat_n(black_box(0), black_box(1024))
+ }
+ merge {
+ {
+ let v1 = black_box((0..1024).collect_vec());
+ let v2 = black_box((0..768).collect_vec());
+ }
+ v1.iter().merge(&v2)
+ }
+ merge_by {
+ {
+ let v1 = black_box((0..1024).collect_vec());
+ let v2 = black_box((0..768).collect_vec());
+ }
+ v1.iter().merge_by(&v2, PartialOrd::ge)
+ }
+ merge_join_by_ordering {
+ {
+ let v1 = black_box((0..1024).collect_vec());
+ let v2 = black_box((0..768).collect_vec());
+ }
+ v1.iter().merge_join_by(&v2, Ord::cmp)
+ }
+ merge_join_by_bool {
+ {
+ let v1 = black_box((0..1024).collect_vec());
+ let v2 = black_box((0..768).collect_vec());
+ }
+ v1.iter().merge_join_by(&v2, PartialOrd::ge)
+ }
+ kmerge {
+ {
+ let vs = black_box(vec![vec![0; 1024], vec![0; 256], vec![0; 768]]);
+ }
+ vs.iter().kmerge()
+ }
+ kmerge_by {
+ {
+ let vs = black_box(vec![vec![0; 1024], vec![0; 256], vec![0; 768]]);
+ }
+ vs.iter().kmerge_by(PartialOrd::ge)
+ }
+ map_into {
+ DoubleEndedIterator
+ ExactSizeIterator
+ {
+ let v = black_box(vec![0_u8; 1024]);
+ }
+ v.iter().copied().map_into::<u32>()
+ }
+ map_ok {
+ DoubleEndedIterator
+ ExactSizeIterator
+ {
+ let v = black_box((0_u32..1024)
+ .map(|x| if x % 2 == 1 { Err(x) } else { Ok(x) })
+ .collect_vec());
+ }
+ v.iter().copied().map_ok(|x| x + 1)
+ }
+ filter_ok {
+ DoubleEndedIterator
+ {
+ let v = black_box((0_u32..1024)
+ .map(|x| if x % 2 == 1 { Err(x) } else { Ok(x) })
+ .collect_vec());
+ }
+ v.iter().copied().filter_ok(|x| x % 3 == 0)
+ }
+ filter_map_ok {
+ DoubleEndedIterator
+ {
+ let v = black_box((0_u32..1024)
+ .map(|x| if x % 2 == 1 { Err(x) } else { Ok(x) })
+ .collect_vec());
+ }
+ v.iter().copied().filter_map_ok(|x| if x % 3 == 0 { Some(x + 1) } else { None })
+ }
+ flatten_ok {
+ DoubleEndedIterator
+ {
+ let d = black_box(vec![0; 8]);
+ let v = black_box((0..512)
+ .map(|x| if x % 2 == 0 { Ok(&d) } else { Err(x) })
+ .collect_vec());
+ }
+ v.iter().copied().flatten_ok()
+ }
+}
diff --git a/vendor/itertools/benches/tree_reduce.rs b/vendor/itertools/benches/tree_reduce.rs
new file mode 100644
index 00000000..051b1488
--- /dev/null
+++ b/vendor/itertools/benches/tree_reduce.rs
@@ -0,0 +1,150 @@
+#![allow(deprecated)]
+
+use criterion::{criterion_group, criterion_main, Criterion};
+use itertools::{cloned, Itertools};
+
+trait IterEx: Iterator {
+ // Another efficient implementation against which to compare,
+ // but needs `std` so is less desirable.
+ fn tree_reduce_vec<F>(self, mut f: F) -> Option<Self::Item>
+ where
+ F: FnMut(Self::Item, Self::Item) -> Self::Item,
+ Self: Sized,
+ {
+ let hint = self.size_hint().0;
+ let cap = std::mem::size_of::<usize>() * 8 - hint.leading_zeros() as usize;
+ let mut stack = Vec::with_capacity(cap);
+ self.enumerate().for_each(|(mut i, mut x)| {
+ while (i & 1) != 0 {
+ x = f(stack.pop().unwrap(), x);
+ i >>= 1;
+ }
+ stack.push(x);
+ });
+ stack.into_iter().fold1(f)
+ }
+}
+impl<T: Iterator> IterEx for T {}
+
+macro_rules! def_benchs {
+ ($N:expr,
+ $FUN:ident,
+ $BENCH_NAME:ident,
+ ) => {
+ mod $BENCH_NAME {
+ use super::*;
+
+ pub fn sum(c: &mut Criterion) {
+ let v: Vec<u32> = (0..$N).collect();
+
+ c.bench_function(
+ &(stringify!($BENCH_NAME).replace('_', " ") + " sum"),
+ move |b| b.iter(|| cloned(&v).$FUN(|x, y| x + y)),
+ );
+ }
+
+ pub fn complex_iter(c: &mut Criterion) {
+ let u = (3..).take($N / 2);
+ let v = (5..).take($N / 2);
+ let it = u.chain(v);
+
+ c.bench_function(
+ &(stringify!($BENCH_NAME).replace('_', " ") + " complex iter"),
+ move |b| b.iter(|| it.clone().map(|x| x as f32).$FUN(f32::atan2)),
+ );
+ }
+
+ pub fn string_format(c: &mut Criterion) {
+ // This goes quadratic with linear `fold1`, so use a smaller
+ // size to not waste too much time in travis. The allocations
+ // in here are so expensive anyway that it'll still take
+ // way longer per iteration than the other two benchmarks.
+ let v: Vec<u32> = (0..($N / 4)).collect();
+
+ c.bench_function(
+ &(stringify!($BENCH_NAME).replace('_', " ") + " string format"),
+ move |b| {
+ b.iter(|| {
+ cloned(&v)
+ .map(|x| x.to_string())
+ .$FUN(|x, y| format!("{} + {}", x, y))
+ })
+ },
+ );
+ }
+ }
+
+ criterion_group!(
+ $BENCH_NAME,
+ $BENCH_NAME::sum,
+ $BENCH_NAME::complex_iter,
+ $BENCH_NAME::string_format,
+ );
+ };
+}
+
+def_benchs! {
+ 10_000,
+ fold1,
+ fold1_10k,
+}
+
+def_benchs! {
+ 10_000,
+ tree_reduce,
+ tree_reduce_stack_10k,
+}
+
+def_benchs! {
+ 10_000,
+ tree_reduce_vec,
+ tree_reduce_vec_10k,
+}
+
+def_benchs! {
+ 100,
+ fold1,
+ fold1_100,
+}
+
+def_benchs! {
+ 100,
+ tree_reduce,
+ tree_reduce_stack_100,
+}
+
+def_benchs! {
+ 100,
+ tree_reduce_vec,
+ tree_reduce_vec_100,
+}
+
+def_benchs! {
+ 8,
+ fold1,
+ fold1_08,
+}
+
+def_benchs! {
+ 8,
+ tree_reduce,
+ tree_reduce_stack_08,
+}
+
+def_benchs! {
+ 8,
+ tree_reduce_vec,
+ tree_reduce_vec_08,
+}
+
+criterion_main!(
+ fold1_10k,
+ tree_reduce_stack_10k,
+ tree_reduce_vec_10k,
+ fold1_100,
+ tree_reduce_stack_100,
+ tree_reduce_vec_100,
+ fold1_08,
+ tree_reduce_stack_08,
+ tree_reduce_vec_08,
+);
diff --git a/vendor/itertools/benches/tuple_combinations.rs b/vendor/itertools/benches/tuple_combinations.rs
new file mode 100644
index 00000000..4e26b282
--- /dev/null
+++ b/vendor/itertools/benches/tuple_combinations.rs
@@ -0,0 +1,113 @@
+use criterion::{black_box, criterion_group, criterion_main, Criterion};
+use itertools::Itertools;
+
+// approximate 100_000 iterations for each combination
+const N1: usize = 100_000;
+const N2: usize = 448;
+const N3: usize = 86;
+const N4: usize = 41;
+
+fn tuple_comb_for1(c: &mut Criterion) {
+ c.bench_function("tuple comb for1", move |b| {
+ b.iter(|| {
+ for i in 0..N1 {
+ black_box(i);
+ }
+ })
+ });
+}
+
+fn tuple_comb_for2(c: &mut Criterion) {
+ c.bench_function("tuple comb for2", move |b| {
+ b.iter(|| {
+ for i in 0..N2 {
+ for j in (i + 1)..N2 {
+ black_box(i + j);
+ }
+ }
+ })
+ });
+}
+
+fn tuple_comb_for3(c: &mut Criterion) {
+ c.bench_function("tuple comb for3", move |b| {
+ b.iter(|| {
+ for i in 0..N3 {
+ for j in (i + 1)..N3 {
+ for k in (j + 1)..N3 {
+ black_box(i + j + k);
+ }
+ }
+ }
+ })
+ });
+}
+
+fn tuple_comb_for4(c: &mut Criterion) {
+ c.bench_function("tuple comb for4", move |b| {
+ b.iter(|| {
+ for i in 0..N4 {
+ for j in (i + 1)..N4 {
+ for k in (j + 1)..N4 {
+ for l in (k + 1)..N4 {
+ black_box(i + j + k + l);
+ }
+ }
+ }
+ }
+ })
+ });
+}
+
+fn tuple_comb_c1(c: &mut Criterion) {
+ c.bench_function("tuple comb c1", move |b| {
+ b.iter(|| {
+ for (i,) in (0..N1).tuple_combinations() {
+ black_box(i);
+ }
+ })
+ });
+}
+
+fn tuple_comb_c2(c: &mut Criterion) {
+ c.bench_function("tuple comb c2", move |b| {
+ b.iter(|| {
+ for (i, j) in (0..N2).tuple_combinations() {
+ black_box(i + j);
+ }
+ })
+ });
+}
+
+fn tuple_comb_c3(c: &mut Criterion) {
+ c.bench_function("tuple comb c3", move |b| {
+ b.iter(|| {
+ for (i, j, k) in (0..N3).tuple_combinations() {
+ black_box(i + j + k);
+ }
+ })
+ });
+}
+
+fn tuple_comb_c4(c: &mut Criterion) {
+ c.bench_function("tuple comb c4", move |b| {
+ b.iter(|| {
+ for (i, j, k, l) in (0..N4).tuple_combinations() {
+ black_box(i + j + k + l);
+ }
+ })
+ });
+}
+
+criterion_group!(
+ benches,
+ tuple_comb_for1,
+ tuple_comb_for2,
+ tuple_comb_for3,
+ tuple_comb_for4,
+ tuple_comb_c1,
+ tuple_comb_c2,
+ tuple_comb_c3,
+ tuple_comb_c4,
+);
+criterion_main!(benches);
diff --git a/vendor/itertools/benches/tuples.rs b/vendor/itertools/benches/tuples.rs
new file mode 100644
index 00000000..2eca3471
--- /dev/null
+++ b/vendor/itertools/benches/tuples.rs
@@ -0,0 +1,208 @@
+use criterion::{criterion_group, criterion_main, Criterion};
+use itertools::Itertools;
+
+fn s1(a: u32) -> u32 {
+ a
+}
+
+fn s2(a: u32, b: u32) -> u32 {
+ a + b
+}
+
+fn s3(a: u32, b: u32, c: u32) -> u32 {
+ a + b + c
+}
+
+fn s4(a: u32, b: u32, c: u32, d: u32) -> u32 {
+ a + b + c + d
+}
+
+fn sum_s1(s: &[u32]) -> u32 {
+ s1(s[0])
+}
+
+fn sum_s2(s: &[u32]) -> u32 {
+ s2(s[0], s[1])
+}
+
+fn sum_s3(s: &[u32]) -> u32 {
+ s3(s[0], s[1], s[2])
+}
+
+fn sum_s4(s: &[u32]) -> u32 {
+ s4(s[0], s[1], s[2], s[3])
+}
+
+fn sum_t1(s: &(&u32,)) -> u32 {
+ s1(*s.0)
+}
+
+fn sum_t2(s: &(&u32, &u32)) -> u32 {
+ s2(*s.0, *s.1)
+}
+
+fn sum_t3(s: &(&u32, &u32, &u32)) -> u32 {
+ s3(*s.0, *s.1, *s.2)
+}
+
+fn sum_t4(s: &(&u32, &u32, &u32, &u32)) -> u32 {
+ s4(*s.0, *s.1, *s.2, *s.3)
+}
+
+macro_rules! def_benchs {
+ ($N:expr;
+ $BENCH_GROUP:ident,
+ $TUPLE_FUN:ident,
+ $TUPLES:ident,
+ $TUPLE_WINDOWS:ident;
+ $SLICE_FUN:ident,
+ $CHUNKS:ident,
+ $WINDOWS:ident;
+ $FOR_CHUNKS:ident,
+ $FOR_WINDOWS:ident
+ ) => {
+ fn $FOR_CHUNKS(c: &mut Criterion) {
+ let v: Vec<u32> = (0..$N * 1_000).collect();
+ let mut s = 0;
+ c.bench_function(&stringify!($FOR_CHUNKS).replace('_', " "), move |b| {
+ b.iter(|| {
+ let mut j = 0;
+ for _ in 0..1_000 {
+ s += $SLICE_FUN(&v[j..(j + $N)]);
+ j += $N;
+ }
+ s
+ })
+ });
+ }
+
+ fn $FOR_WINDOWS(c: &mut Criterion) {
+ let v: Vec<u32> = (0..1_000).collect();
+ let mut s = 0;
+ c.bench_function(&stringify!($FOR_WINDOWS).replace('_', " "), move |b| {
+ b.iter(|| {
+ for i in 0..(1_000 - $N) {
+ s += $SLICE_FUN(&v[i..(i + $N)]);
+ }
+ s
+ })
+ });
+ }
+
+ fn $TUPLES(c: &mut Criterion) {
+ let v: Vec<u32> = (0..$N * 1_000).collect();
+ let mut s = 0;
+ c.bench_function(&stringify!($TUPLES).replace('_', " "), move |b| {
+ b.iter(|| {
+ for x in v.iter().tuples() {
+ s += $TUPLE_FUN(&x);
+ }
+ s
+ })
+ });
+ }
+
+ fn $CHUNKS(c: &mut Criterion) {
+ let v: Vec<u32> = (0..$N * 1_000).collect();
+ let mut s = 0;
+ c.bench_function(&stringify!($CHUNKS).replace('_', " "), move |b| {
+ b.iter(|| {
+ for x in v.chunks($N) {
+ s += $SLICE_FUN(x);
+ }
+ s
+ })
+ });
+ }
+
+ fn $TUPLE_WINDOWS(c: &mut Criterion) {
+ let v: Vec<u32> = (0..1_000).collect();
+ let mut s = 0;
+ c.bench_function(&stringify!($TUPLE_WINDOWS).replace('_', " "), move |b| {
+ b.iter(|| {
+ for x in v.iter().tuple_windows() {
+ s += $TUPLE_FUN(&x);
+ }
+ s
+ })
+ });
+ }
+
+ fn $WINDOWS(c: &mut Criterion) {
+ let v: Vec<u32> = (0..1_000).collect();
+ let mut s = 0;
+ c.bench_function(&stringify!($WINDOWS).replace('_', " "), move |b| {
+ b.iter(|| {
+ for x in v.windows($N) {
+ s += $SLICE_FUN(x);
+ }
+ s
+ })
+ });
+ }
+
+ criterion_group!(
+ $BENCH_GROUP,
+ $FOR_CHUNKS,
+ $FOR_WINDOWS,
+ $TUPLES,
+ $CHUNKS,
+ $TUPLE_WINDOWS,
+ $WINDOWS,
+ );
+ };
+}
+
+def_benchs! {
+ 1;
+ benches_1,
+ sum_t1,
+ tuple_chunks_1,
+ tuple_windows_1;
+ sum_s1,
+ slice_chunks_1,
+ slice_windows_1;
+ for_chunks_1,
+ for_windows_1
+}
+
+def_benchs! {
+ 2;
+ benches_2,
+ sum_t2,
+ tuple_chunks_2,
+ tuple_windows_2;
+ sum_s2,
+ slice_chunks_2,
+ slice_windows_2;
+ for_chunks_2,
+ for_windows_2
+}
+
+def_benchs! {
+ 3;
+ benches_3,
+ sum_t3,
+ tuple_chunks_3,
+ tuple_windows_3;
+ sum_s3,
+ slice_chunks_3,
+ slice_windows_3;
+ for_chunks_3,
+ for_windows_3
+}
+
+def_benchs! {
+ 4;
+ benches_4,
+ sum_t4,
+ tuple_chunks_4,
+ tuple_windows_4;
+ sum_s4,
+ slice_chunks_4,
+ slice_windows_4;
+ for_chunks_4,
+ for_windows_4
+}
+
+criterion_main!(benches_1, benches_2, benches_3, benches_4,);
diff --git a/vendor/itertools/examples/iris.data b/vendor/itertools/examples/iris.data
new file mode 100644
index 00000000..a3490e0e
--- /dev/null
+++ b/vendor/itertools/examples/iris.data
@@ -0,0 +1,150 @@
+5.1,3.5,1.4,0.2,Iris-setosa
+4.9,3.0,1.4,0.2,Iris-setosa
+4.7,3.2,1.3,0.2,Iris-setosa
+4.6,3.1,1.5,0.2,Iris-setosa
+5.0,3.6,1.4,0.2,Iris-setosa
+5.4,3.9,1.7,0.4,Iris-setosa
+4.6,3.4,1.4,0.3,Iris-setosa
+5.0,3.4,1.5,0.2,Iris-setosa
+4.4,2.9,1.4,0.2,Iris-setosa
+4.9,3.1,1.5,0.1,Iris-setosa
+5.4,3.7,1.5,0.2,Iris-setosa
+4.8,3.4,1.6,0.2,Iris-setosa
+4.8,3.0,1.4,0.1,Iris-setosa
+4.3,3.0,1.1,0.1,Iris-setosa
+5.8,4.0,1.2,0.2,Iris-setosa
+5.7,4.4,1.5,0.4,Iris-setosa
+5.4,3.9,1.3,0.4,Iris-setosa
+5.1,3.5,1.4,0.3,Iris-setosa
+5.7,3.8,1.7,0.3,Iris-setosa
+5.1,3.8,1.5,0.3,Iris-setosa
+5.4,3.4,1.7,0.2,Iris-setosa
+5.1,3.7,1.5,0.4,Iris-setosa
+4.6,3.6,1.0,0.2,Iris-setosa
+5.1,3.3,1.7,0.5,Iris-setosa
+4.8,3.4,1.9,0.2,Iris-setosa
+5.0,3.0,1.6,0.2,Iris-setosa
+5.0,3.4,1.6,0.4,Iris-setosa
+5.2,3.5,1.5,0.2,Iris-setosa
+5.2,3.4,1.4,0.2,Iris-setosa
+4.7,3.2,1.6,0.2,Iris-setosa
+4.8,3.1,1.6,0.2,Iris-setosa
+5.4,3.4,1.5,0.4,Iris-setosa
+5.2,4.1,1.5,0.1,Iris-setosa
+5.5,4.2,1.4,0.2,Iris-setosa
+4.9,3.1,1.5,0.1,Iris-setosa
+5.0,3.2,1.2,0.2,Iris-setosa
+5.5,3.5,1.3,0.2,Iris-setosa
+4.9,3.1,1.5,0.1,Iris-setosa
+4.4,3.0,1.3,0.2,Iris-setosa
+5.1,3.4,1.5,0.2,Iris-setosa
+5.0,3.5,1.3,0.3,Iris-setosa
+4.5,2.3,1.3,0.3,Iris-setosa
+4.4,3.2,1.3,0.2,Iris-setosa
+5.0,3.5,1.6,0.6,Iris-setosa
+5.1,3.8,1.9,0.4,Iris-setosa
+4.8,3.0,1.4,0.3,Iris-setosa
+5.1,3.8,1.6,0.2,Iris-setosa
+4.6,3.2,1.4,0.2,Iris-setosa
+5.3,3.7,1.5,0.2,Iris-setosa
+5.0,3.3,1.4,0.2,Iris-setosa
+7.0,3.2,4.7,1.4,Iris-versicolor
+6.4,3.2,4.5,1.5,Iris-versicolor
+6.9,3.1,4.9,1.5,Iris-versicolor
+5.5,2.3,4.0,1.3,Iris-versicolor
+6.5,2.8,4.6,1.5,Iris-versicolor
+5.7,2.8,4.5,1.3,Iris-versicolor
+6.3,3.3,4.7,1.6,Iris-versicolor
+4.9,2.4,3.3,1.0,Iris-versicolor
+6.6,2.9,4.6,1.3,Iris-versicolor
+5.2,2.7,3.9,1.4,Iris-versicolor
+5.0,2.0,3.5,1.0,Iris-versicolor
+5.9,3.0,4.2,1.5,Iris-versicolor
+6.0,2.2,4.0,1.0,Iris-versicolor
+6.1,2.9,4.7,1.4,Iris-versicolor
+5.6,2.9,3.6,1.3,Iris-versicolor
+6.7,3.1,4.4,1.4,Iris-versicolor
+5.6,3.0,4.5,1.5,Iris-versicolor
+5.8,2.7,4.1,1.0,Iris-versicolor
+6.2,2.2,4.5,1.5,Iris-versicolor
+5.6,2.5,3.9,1.1,Iris-versicolor
+5.9,3.2,4.8,1.8,Iris-versicolor
+6.1,2.8,4.0,1.3,Iris-versicolor
+6.3,2.5,4.9,1.5,Iris-versicolor
+6.1,2.8,4.7,1.2,Iris-versicolor
+6.4,2.9,4.3,1.3,Iris-versicolor
+6.6,3.0,4.4,1.4,Iris-versicolor
+6.8,2.8,4.8,1.4,Iris-versicolor
+6.7,3.0,5.0,1.7,Iris-versicolor
+6.0,2.9,4.5,1.5,Iris-versicolor
+5.7,2.6,3.5,1.0,Iris-versicolor
+5.5,2.4,3.8,1.1,Iris-versicolor
+5.5,2.4,3.7,1.0,Iris-versicolor
+5.8,2.7,3.9,1.2,Iris-versicolor
+6.0,2.7,5.1,1.6,Iris-versicolor
+5.4,3.0,4.5,1.5,Iris-versicolor
+6.0,3.4,4.5,1.6,Iris-versicolor
+6.7,3.1,4.7,1.5,Iris-versicolor
+6.3,2.3,4.4,1.3,Iris-versicolor
+5.6,3.0,4.1,1.3,Iris-versicolor
+5.5,2.5,4.0,1.3,Iris-versicolor
+5.5,2.6,4.4,1.2,Iris-versicolor
+6.1,3.0,4.6,1.4,Iris-versicolor
+5.8,2.6,4.0,1.2,Iris-versicolor
+5.0,2.3,3.3,1.0,Iris-versicolor
+5.6,2.7,4.2,1.3,Iris-versicolor
+5.7,3.0,4.2,1.2,Iris-versicolor
+5.7,2.9,4.2,1.3,Iris-versicolor
+6.2,2.9,4.3,1.3,Iris-versicolor
+5.1,2.5,3.0,1.1,Iris-versicolor
+5.7,2.8,4.1,1.3,Iris-versicolor
+6.3,3.3,6.0,2.5,Iris-virginica
+5.8,2.7,5.1,1.9,Iris-virginica
+7.1,3.0,5.9,2.1,Iris-virginica
+6.3,2.9,5.6,1.8,Iris-virginica
+6.5,3.0,5.8,2.2,Iris-virginica
+7.6,3.0,6.6,2.1,Iris-virginica
+4.9,2.5,4.5,1.7,Iris-virginica
+7.3,2.9,6.3,1.8,Iris-virginica
+6.7,2.5,5.8,1.8,Iris-virginica
+7.2,3.6,6.1,2.5,Iris-virginica
+6.5,3.2,5.1,2.0,Iris-virginica
+6.4,2.7,5.3,1.9,Iris-virginica
+6.8,3.0,5.5,2.1,Iris-virginica
+5.7,2.5,5.0,2.0,Iris-virginica
+5.8,2.8,5.1,2.4,Iris-virginica
+6.4,3.2,5.3,2.3,Iris-virginica
+6.5,3.0,5.5,1.8,Iris-virginica
+7.7,3.8,6.7,2.2,Iris-virginica
+7.7,2.6,6.9,2.3,Iris-virginica
+6.0,2.2,5.0,1.5,Iris-virginica
+6.9,3.2,5.7,2.3,Iris-virginica
+5.6,2.8,4.9,2.0,Iris-virginica
+7.7,2.8,6.7,2.0,Iris-virginica
+6.3,2.7,4.9,1.8,Iris-virginica
+6.7,3.3,5.7,2.1,Iris-virginica
+7.2,3.2,6.0,1.8,Iris-virginica
+6.2,2.8,4.8,1.8,Iris-virginica
+6.1,3.0,4.9,1.8,Iris-virginica
+6.4,2.8,5.6,2.1,Iris-virginica
+7.2,3.0,5.8,1.6,Iris-virginica
+7.4,2.8,6.1,1.9,Iris-virginica
+7.9,3.8,6.4,2.0,Iris-virginica
+6.4,2.8,5.6,2.2,Iris-virginica
+6.3,2.8,5.1,1.5,Iris-virginica
+6.1,2.6,5.6,1.4,Iris-virginica
+7.7,3.0,6.1,2.3,Iris-virginica
+6.3,3.4,5.6,2.4,Iris-virginica
+6.4,3.1,5.5,1.8,Iris-virginica
+6.0,3.0,4.8,1.8,Iris-virginica
+6.9,3.1,5.4,2.1,Iris-virginica
+6.7,3.1,5.6,2.4,Iris-virginica
+6.9,3.1,5.1,2.3,Iris-virginica
+5.8,2.7,5.1,1.9,Iris-virginica
+6.8,3.2,5.9,2.3,Iris-virginica
+6.7,3.3,5.7,2.5,Iris-virginica
+6.7,3.0,5.2,2.3,Iris-virginica
+6.3,2.5,5.0,1.9,Iris-virginica
+6.5,3.0,5.2,2.0,Iris-virginica
+6.2,3.4,5.4,2.3,Iris-virginica
+5.9,3.0,5.1,1.8,Iris-virginica
diff --git a/vendor/itertools/examples/iris.rs b/vendor/itertools/examples/iris.rs
new file mode 100644
index 00000000..63f9c483
--- /dev/null
+++ b/vendor/itertools/examples/iris.rs
@@ -0,0 +1,140 @@
+///
+/// This example parses, sorts and groups the iris dataset
+/// and does some simple manipulations.
+///
+/// Iterators and itertools functionality are used throughout.
+use itertools::Itertools;
+use std::collections::HashMap;
+use std::iter::repeat;
+use std::num::ParseFloatError;
+use std::str::FromStr;
+
+static DATA: &str = include_str!("iris.data");
+
+#[derive(Clone, Debug)]
+struct Iris {
+ name: String,
+ data: [f32; 4],
+}
+
+#[allow(dead_code)] // fields are currently ignored
+#[derive(Clone, Debug)]
+enum ParseError {
+ Numeric(ParseFloatError),
+ Other(&'static str),
+}
+
+impl From<ParseFloatError> for ParseError {
+ fn from(err: ParseFloatError) -> Self {
+ Self::Numeric(err)
+ }
+}
+
+/// Parse an Iris from a comma-separated line
+impl FromStr for Iris {
+ type Err = ParseError;
+
+ fn from_str(s: &str) -> Result<Self, Self::Err> {
+ let mut iris = Self {
+ name: "".into(),
+ data: [0.; 4],
+ };
+ let mut parts = s.split(',').map(str::trim);
+
+ // using Iterator::by_ref()
+ for (index, part) in parts.by_ref().take(4).enumerate() {
+ iris.data[index] = part.parse::<f32>()?;
+ }
+ if let Some(name) = parts.next() {
+ iris.name = name.into();
+ } else {
+ return Err(ParseError::Other("Missing name"));
+ }
+ Ok(iris)
+ }
+}
+
+fn main() {
+ // using Itertools::fold_results to create the result of parsing
+ let irises = DATA
+ .lines()
+ .map(str::parse)
+ .fold_ok(Vec::new(), |mut v, iris: Iris| {
+ v.push(iris);
+ v
+ });
+ let mut irises = match irises {
+ Err(e) => {
+ println!("Error parsing: {:?}", e);
+ std::process::exit(1);
+ }
+ Ok(data) => data,
+ };
+
+ // Sort them and group them
+ irises.sort_by(|a, b| Ord::cmp(&a.name, &b.name));
+
+ // using Iterator::cycle()
+ let mut plot_symbols = "+ox".chars().cycle();
+ let mut symbolmap = HashMap::new();
+
+ // using Itertools::chunk_by
+ for (species, species_chunk) in &irises.iter().chunk_by(|iris| &iris.name) {
+ // assign a plot symbol
+ symbolmap
+ .entry(species)
+ .or_insert_with(|| plot_symbols.next().unwrap());
+ println!("{} (symbol={})", species, symbolmap[species]);
+
+ for iris in species_chunk {
+ // using Itertools::format for lazy formatting
+ println!("{:>3.1}", iris.data.iter().format(", "));
+ }
+ }
+
+ // Look at all combinations of the four columns
+ //
+ // See https://en.wikipedia.org/wiki/Iris_flower_data_set
+ //
+ let n = 30; // plot size
+ let mut plot = vec![' '; n * n];
+
+ // using Itertools::tuple_combinations
+ for (a, b) in (0..4).tuple_combinations() {
+ println!("Column {} vs {}:", a, b);
+
+ // Clear plot
+ //
+ // using std::iter::repeat;
+ // using Itertools::set_from
+ plot.iter_mut().set_from(repeat(' '));
+
+ // using Itertools::minmax
+ let min_max = |data: &[Iris], col| {
+ data.iter()
+ .map(|iris| iris.data[col])
+ .minmax()
+ .into_option()
+ .expect("Can't find min/max of empty iterator")
+ };
+ let (min_x, max_x) = min_max(&irises, a);
+ let (min_y, max_y) = min_max(&irises, b);
+
+ // Plot the data points
+ let round_to_grid = |x, min, max| ((x - min) / (max - min) * ((n - 1) as f32)) as usize;
+ let flip = |ix| n - 1 - ix; // reverse axis direction
+
+ for iris in &irises {
+ let ix = round_to_grid(iris.data[a], min_x, max_x);
+ let iy = flip(round_to_grid(iris.data[b], min_y, max_y));
+ plot[n * iy + ix] = symbolmap[&iris.name];
+ }
+
+ // render plot
+ //
+ // using Itertools::join
+ for line in plot.chunks(n) {
+ println!("{}", line.iter().join(" "))
+ }
+ }
+}
diff --git a/vendor/itertools/src/adaptors/coalesce.rs b/vendor/itertools/src/adaptors/coalesce.rs
new file mode 100644
index 00000000..ab1ab525
--- /dev/null
+++ b/vendor/itertools/src/adaptors/coalesce.rs
@@ -0,0 +1,286 @@
+use std::fmt;
+use std::iter::FusedIterator;
+
+use crate::size_hint;
+
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct CoalesceBy<I, F, C>
+where
+ I: Iterator,
+ C: CountItem<I::Item>,
+{
+ iter: I,
+ /// `last` is `None` while no item have been taken out of `iter` (at definition).
+ /// Then `last` will be `Some(Some(item))` until `iter` is exhausted,
+ /// in which case `last` will be `Some(None)`.
+ last: Option<Option<C::CItem>>,
+ f: F,
+}
+
+impl<I, F, C> Clone for CoalesceBy<I, F, C>
+where
+ I: Clone + Iterator,
+ F: Clone,
+ C: CountItem<I::Item>,
+ C::CItem: Clone,
+{
+ clone_fields!(last, iter, f);
+}
+
+impl<I, F, C> fmt::Debug for CoalesceBy<I, F, C>
+where
+ I: Iterator + fmt::Debug,
+ C: CountItem<I::Item>,
+ C::CItem: fmt::Debug,
+{
+ debug_fmt_fields!(CoalesceBy, iter, last);
+}
+
+pub trait CoalescePredicate<Item, T> {
+ fn coalesce_pair(&mut self, t: T, item: Item) -> Result<T, (T, T)>;
+}
+
+impl<I, F, C> Iterator for CoalesceBy<I, F, C>
+where
+ I: Iterator,
+ F: CoalescePredicate<I::Item, C::CItem>,
+ C: CountItem<I::Item>,
+{
+ type Item = C::CItem;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ let Self { iter, last, f } = self;
+ // this fuses the iterator
+ let init = match last {
+ Some(elt) => elt.take(),
+ None => {
+ *last = Some(None);
+ iter.next().map(C::new)
+ }
+ }?;
+
+ Some(
+ iter.try_fold(init, |accum, next| match f.coalesce_pair(accum, next) {
+ Ok(joined) => Ok(joined),
+ Err((last_, next_)) => {
+ *last = Some(Some(next_));
+ Err(last_)
+ }
+ })
+ .unwrap_or_else(|x| x),
+ )
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let (low, hi) = size_hint::add_scalar(
+ self.iter.size_hint(),
+ matches!(self.last, Some(Some(_))) as usize,
+ );
+ ((low > 0) as usize, hi)
+ }
+
+ fn fold<Acc, FnAcc>(self, acc: Acc, mut fn_acc: FnAcc) -> Acc
+ where
+ FnAcc: FnMut(Acc, Self::Item) -> Acc,
+ {
+ let Self {
+ mut iter,
+ last,
+ mut f,
+ } = self;
+ if let Some(last) = last.unwrap_or_else(|| iter.next().map(C::new)) {
+ let (last, acc) = iter.fold((last, acc), |(last, acc), elt| {
+ match f.coalesce_pair(last, elt) {
+ Ok(joined) => (joined, acc),
+ Err((last_, next_)) => (next_, fn_acc(acc, last_)),
+ }
+ });
+ fn_acc(acc, last)
+ } else {
+ acc
+ }
+ }
+}
+
+impl<I, F, C> FusedIterator for CoalesceBy<I, F, C>
+where
+ I: Iterator,
+ F: CoalescePredicate<I::Item, C::CItem>,
+ C: CountItem<I::Item>,
+{
+}
+
+pub struct NoCount;
+
+pub struct WithCount;
+
+pub trait CountItem<T> {
+ type CItem;
+ fn new(t: T) -> Self::CItem;
+}
+
+impl<T> CountItem<T> for NoCount {
+ type CItem = T;
+ #[inline(always)]
+ fn new(t: T) -> T {
+ t
+ }
+}
+
+impl<T> CountItem<T> for WithCount {
+ type CItem = (usize, T);
+ #[inline(always)]
+ fn new(t: T) -> (usize, T) {
+ (1, t)
+ }
+}
+
+/// An iterator adaptor that may join together adjacent elements.
+///
+/// See [`.coalesce()`](crate::Itertools::coalesce) for more information.
+pub type Coalesce<I, F> = CoalesceBy<I, F, NoCount>;
+
+impl<F, Item, T> CoalescePredicate<Item, T> for F
+where
+ F: FnMut(T, Item) -> Result<T, (T, T)>,
+{
+ fn coalesce_pair(&mut self, t: T, item: Item) -> Result<T, (T, T)> {
+ self(t, item)
+ }
+}
+
+/// Create a new `Coalesce`.
+pub fn coalesce<I, F>(iter: I, f: F) -> Coalesce<I, F>
+where
+ I: Iterator,
+{
+ Coalesce {
+ last: None,
+ iter,
+ f,
+ }
+}
+
+/// An iterator adaptor that removes repeated duplicates, determining equality using a comparison function.
+///
+/// See [`.dedup_by()`](crate::Itertools::dedup_by) or [`.dedup()`](crate::Itertools::dedup) for more information.
+pub type DedupBy<I, Pred> = CoalesceBy<I, DedupPred2CoalescePred<Pred>, NoCount>;
+
+#[derive(Clone)]
+pub struct DedupPred2CoalescePred<DP>(DP);
+
+impl<DP> fmt::Debug for DedupPred2CoalescePred<DP> {
+ debug_fmt_fields!(DedupPred2CoalescePred,);
+}
+
+pub trait DedupPredicate<T> {
+ // TODO replace by Fn(&T, &T)->bool once Rust supports it
+ fn dedup_pair(&mut self, a: &T, b: &T) -> bool;
+}
+
+impl<DP, T> CoalescePredicate<T, T> for DedupPred2CoalescePred<DP>
+where
+ DP: DedupPredicate<T>,
+{
+ fn coalesce_pair(&mut self, t: T, item: T) -> Result<T, (T, T)> {
+ if self.0.dedup_pair(&t, &item) {
+ Ok(t)
+ } else {
+ Err((t, item))
+ }
+ }
+}
+
+#[derive(Clone, Debug)]
+pub struct DedupEq;
+
+impl<T: PartialEq> DedupPredicate<T> for DedupEq {
+ fn dedup_pair(&mut self, a: &T, b: &T) -> bool {
+ a == b
+ }
+}
+
+impl<T, F: FnMut(&T, &T) -> bool> DedupPredicate<T> for F {
+ fn dedup_pair(&mut self, a: &T, b: &T) -> bool {
+ self(a, b)
+ }
+}
+
+/// Create a new `DedupBy`.
+pub fn dedup_by<I, Pred>(iter: I, dedup_pred: Pred) -> DedupBy<I, Pred>
+where
+ I: Iterator,
+{
+ DedupBy {
+ last: None,
+ iter,
+ f: DedupPred2CoalescePred(dedup_pred),
+ }
+}
+
+/// An iterator adaptor that removes repeated duplicates.
+///
+/// See [`.dedup()`](crate::Itertools::dedup) for more information.
+pub type Dedup<I> = DedupBy<I, DedupEq>;
+
+/// Create a new `Dedup`.
+pub fn dedup<I>(iter: I) -> Dedup<I>
+where
+ I: Iterator,
+{
+ dedup_by(iter, DedupEq)
+}
+
+/// An iterator adaptor that removes repeated duplicates, while keeping a count of how many
+/// repeated elements were present. This will determine equality using a comparison function.
+///
+/// See [`.dedup_by_with_count()`](crate::Itertools::dedup_by_with_count) or
+/// [`.dedup_with_count()`](crate::Itertools::dedup_with_count) for more information.
+pub type DedupByWithCount<I, Pred> =
+ CoalesceBy<I, DedupPredWithCount2CoalescePred<Pred>, WithCount>;
+
+#[derive(Clone, Debug)]
+pub struct DedupPredWithCount2CoalescePred<DP>(DP);
+
+impl<DP, T> CoalescePredicate<T, (usize, T)> for DedupPredWithCount2CoalescePred<DP>
+where
+ DP: DedupPredicate<T>,
+{
+ fn coalesce_pair(
+ &mut self,
+ (c, t): (usize, T),
+ item: T,
+ ) -> Result<(usize, T), ((usize, T), (usize, T))> {
+ if self.0.dedup_pair(&t, &item) {
+ Ok((c + 1, t))
+ } else {
+ Err(((c, t), (1, item)))
+ }
+ }
+}
+
+/// An iterator adaptor that removes repeated duplicates, while keeping a count of how many
+/// repeated elements were present.
+///
+/// See [`.dedup_with_count()`](crate::Itertools::dedup_with_count) for more information.
+pub type DedupWithCount<I> = DedupByWithCount<I, DedupEq>;
+
+/// Create a new `DedupByWithCount`.
+pub fn dedup_by_with_count<I, Pred>(iter: I, dedup_pred: Pred) -> DedupByWithCount<I, Pred>
+where
+ I: Iterator,
+{
+ DedupByWithCount {
+ last: None,
+ iter,
+ f: DedupPredWithCount2CoalescePred(dedup_pred),
+ }
+}
+
+/// Create a new `DedupWithCount`.
+pub fn dedup_with_count<I>(iter: I) -> DedupWithCount<I>
+where
+ I: Iterator,
+{
+ dedup_by_with_count(iter, DedupEq)
+}
diff --git a/vendor/itertools/src/adaptors/map.rs b/vendor/itertools/src/adaptors/map.rs
new file mode 100644
index 00000000..c78b9be6
--- /dev/null
+++ b/vendor/itertools/src/adaptors/map.rs
@@ -0,0 +1,130 @@
+use std::iter::FromIterator;
+use std::marker::PhantomData;
+
+#[derive(Clone, Debug)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct MapSpecialCase<I, F> {
+ pub(crate) iter: I,
+ pub(crate) f: F,
+}
+
+pub trait MapSpecialCaseFn<T> {
+ type Out;
+ fn call(&mut self, t: T) -> Self::Out;
+}
+
+impl<I, R> Iterator for MapSpecialCase<I, R>
+where
+ I: Iterator,
+ R: MapSpecialCaseFn<I::Item>,
+{
+ type Item = R::Out;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ self.iter.next().map(|i| self.f.call(i))
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ self.iter.size_hint()
+ }
+
+ fn fold<Acc, Fold>(self, init: Acc, mut fold_f: Fold) -> Acc
+ where
+ Fold: FnMut(Acc, Self::Item) -> Acc,
+ {
+ let mut f = self.f;
+ self.iter.fold(init, move |acc, v| fold_f(acc, f.call(v)))
+ }
+
+ fn collect<C>(self) -> C
+ where
+ C: FromIterator<Self::Item>,
+ {
+ let mut f = self.f;
+ self.iter.map(move |v| f.call(v)).collect()
+ }
+}
+
+impl<I, R> DoubleEndedIterator for MapSpecialCase<I, R>
+where
+ I: DoubleEndedIterator,
+ R: MapSpecialCaseFn<I::Item>,
+{
+ fn next_back(&mut self) -> Option<Self::Item> {
+ self.iter.next_back().map(|i| self.f.call(i))
+ }
+}
+
+impl<I, R> ExactSizeIterator for MapSpecialCase<I, R>
+where
+ I: ExactSizeIterator,
+ R: MapSpecialCaseFn<I::Item>,
+{
+}
+
+/// An iterator adapter to apply a transformation within a nested `Result::Ok`.
+///
+/// See [`.map_ok()`](crate::Itertools::map_ok) for more information.
+pub type MapOk<I, F> = MapSpecialCase<I, MapSpecialCaseFnOk<F>>;
+
+impl<F, T, U, E> MapSpecialCaseFn<Result<T, E>> for MapSpecialCaseFnOk<F>
+where
+ F: FnMut(T) -> U,
+{
+ type Out = Result<U, E>;
+ fn call(&mut self, t: Result<T, E>) -> Self::Out {
+ t.map(|v| self.0(v))
+ }
+}
+
+#[derive(Clone)]
+pub struct MapSpecialCaseFnOk<F>(F);
+
+impl<F> std::fmt::Debug for MapSpecialCaseFnOk<F> {
+ debug_fmt_fields!(MapSpecialCaseFnOk,);
+}
+
+/// Create a new `MapOk` iterator.
+pub fn map_ok<I, F, T, U, E>(iter: I, f: F) -> MapOk<I, F>
+where
+ I: Iterator<Item = Result<T, E>>,
+ F: FnMut(T) -> U,
+{
+ MapSpecialCase {
+ iter,
+ f: MapSpecialCaseFnOk(f),
+ }
+}
+
+/// An iterator adapter to apply `Into` conversion to each element.
+///
+/// See [`.map_into()`](crate::Itertools::map_into) for more information.
+pub type MapInto<I, R> = MapSpecialCase<I, MapSpecialCaseFnInto<R>>;
+
+impl<T: Into<U>, U> MapSpecialCaseFn<T> for MapSpecialCaseFnInto<U> {
+ type Out = U;
+ fn call(&mut self, t: T) -> Self::Out {
+ t.into()
+ }
+}
+
+pub struct MapSpecialCaseFnInto<U>(PhantomData<U>);
+
+impl<U> std::fmt::Debug for MapSpecialCaseFnInto<U> {
+ debug_fmt_fields!(MapSpecialCaseFnInto, 0);
+}
+
+impl<U> Clone for MapSpecialCaseFnInto<U> {
+ #[inline]
+ fn clone(&self) -> Self {
+ Self(PhantomData)
+ }
+}
+
+/// Create a new [`MapInto`] iterator.
+pub fn map_into<I, R>(iter: I) -> MapInto<I, R> {
+ MapSpecialCase {
+ iter,
+ f: MapSpecialCaseFnInto(PhantomData),
+ }
+}
diff --git a/vendor/itertools/src/adaptors/mod.rs b/vendor/itertools/src/adaptors/mod.rs
new file mode 100644
index 00000000..77192f26
--- /dev/null
+++ b/vendor/itertools/src/adaptors/mod.rs
@@ -0,0 +1,1265 @@
+//! Licensed under the Apache License, Version 2.0
+//! <https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
+//! <https://opensource.org/licenses/MIT>, at your
+//! option. This file may not be copied, modified, or distributed
+//! except according to those terms.
+
+mod coalesce;
+pub(crate) mod map;
+mod multi_product;
+pub use self::coalesce::*;
+pub use self::map::{map_into, map_ok, MapInto, MapOk};
+#[cfg(feature = "use_alloc")]
+pub use self::multi_product::*;
+
+use crate::size_hint::{self, SizeHint};
+use std::fmt;
+use std::iter::{Enumerate, FromIterator, Fuse, FusedIterator};
+use std::marker::PhantomData;
+
+/// An iterator adaptor that alternates elements from two iterators until both
+/// run out.
+///
+/// This iterator is *fused*.
+///
+/// See [`.interleave()`](crate::Itertools::interleave) for more information.
+#[derive(Clone, Debug)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct Interleave<I, J> {
+ i: Fuse<I>,
+ j: Fuse<J>,
+ next_coming_from_j: bool,
+}
+
+/// Create an iterator that interleaves elements in `i` and `j`.
+///
+/// [`IntoIterator`] enabled version of [`Itertools::interleave`](crate::Itertools::interleave).
+pub fn interleave<I, J>(
+ i: I,
+ j: J,
+) -> Interleave<<I as IntoIterator>::IntoIter, <J as IntoIterator>::IntoIter>
+where
+ I: IntoIterator,
+ J: IntoIterator<Item = I::Item>,
+{
+ Interleave {
+ i: i.into_iter().fuse(),
+ j: j.into_iter().fuse(),
+ next_coming_from_j: false,
+ }
+}
+
+impl<I, J> Iterator for Interleave<I, J>
+where
+ I: Iterator,
+ J: Iterator<Item = I::Item>,
+{
+ type Item = I::Item;
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ self.next_coming_from_j = !self.next_coming_from_j;
+ if self.next_coming_from_j {
+ match self.i.next() {
+ None => self.j.next(),
+ r => r,
+ }
+ } else {
+ match self.j.next() {
+ None => self.i.next(),
+ r => r,
+ }
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ size_hint::add(self.i.size_hint(), self.j.size_hint())
+ }
+
+ fn fold<B, F>(self, mut init: B, mut f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ let Self {
+ mut i,
+ mut j,
+ next_coming_from_j,
+ } = self;
+ if next_coming_from_j {
+ match j.next() {
+ Some(y) => init = f(init, y),
+ None => return i.fold(init, f),
+ }
+ }
+ let res = i.try_fold(init, |mut acc, x| {
+ acc = f(acc, x);
+ match j.next() {
+ Some(y) => Ok(f(acc, y)),
+ None => Err(acc),
+ }
+ });
+ match res {
+ Ok(acc) => j.fold(acc, f),
+ Err(acc) => i.fold(acc, f),
+ }
+ }
+}
+
+impl<I, J> FusedIterator for Interleave<I, J>
+where
+ I: Iterator,
+ J: Iterator<Item = I::Item>,
+{
+}
+
+/// An iterator adaptor that alternates elements from the two iterators until
+/// one of them runs out.
+///
+/// This iterator is *fused*.
+///
+/// See [`.interleave_shortest()`](crate::Itertools::interleave_shortest)
+/// for more information.
+#[derive(Clone, Debug)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct InterleaveShortest<I, J>
+where
+ I: Iterator,
+ J: Iterator<Item = I::Item>,
+{
+ i: I,
+ j: J,
+ next_coming_from_j: bool,
+}
+
+/// Create a new `InterleaveShortest` iterator.
+pub fn interleave_shortest<I, J>(i: I, j: J) -> InterleaveShortest<I, J>
+where
+ I: Iterator,
+ J: Iterator<Item = I::Item>,
+{
+ InterleaveShortest {
+ i,
+ j,
+ next_coming_from_j: false,
+ }
+}
+
+impl<I, J> Iterator for InterleaveShortest<I, J>
+where
+ I: Iterator,
+ J: Iterator<Item = I::Item>,
+{
+ type Item = I::Item;
+
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ let e = if self.next_coming_from_j {
+ self.j.next()
+ } else {
+ self.i.next()
+ };
+ if e.is_some() {
+ self.next_coming_from_j = !self.next_coming_from_j;
+ }
+ e
+ }
+
+ #[inline]
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let (curr_hint, next_hint) = {
+ let i_hint = self.i.size_hint();
+ let j_hint = self.j.size_hint();
+ if self.next_coming_from_j {
+ (j_hint, i_hint)
+ } else {
+ (i_hint, j_hint)
+ }
+ };
+ let (curr_lower, curr_upper) = curr_hint;
+ let (next_lower, next_upper) = next_hint;
+ let (combined_lower, combined_upper) =
+ size_hint::mul_scalar(size_hint::min(curr_hint, next_hint), 2);
+ let lower = if curr_lower > next_lower {
+ combined_lower + 1
+ } else {
+ combined_lower
+ };
+ let upper = {
+ let extra_elem = match (curr_upper, next_upper) {
+ (_, None) => false,
+ (None, Some(_)) => true,
+ (Some(curr_max), Some(next_max)) => curr_max > next_max,
+ };
+ if extra_elem {
+ combined_upper.and_then(|x| x.checked_add(1))
+ } else {
+ combined_upper
+ }
+ };
+ (lower, upper)
+ }
+
+ fn fold<B, F>(self, mut init: B, mut f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ let Self {
+ mut i,
+ mut j,
+ next_coming_from_j,
+ } = self;
+ if next_coming_from_j {
+ match j.next() {
+ Some(y) => init = f(init, y),
+ None => return init,
+ }
+ }
+ let res = i.try_fold(init, |mut acc, x| {
+ acc = f(acc, x);
+ match j.next() {
+ Some(y) => Ok(f(acc, y)),
+ None => Err(acc),
+ }
+ });
+ match res {
+ Ok(val) => val,
+ Err(val) => val,
+ }
+ }
+}
+
+impl<I, J> FusedIterator for InterleaveShortest<I, J>
+where
+ I: FusedIterator,
+ J: FusedIterator<Item = I::Item>,
+{
+}
+
+#[derive(Clone, Debug)]
+/// An iterator adaptor that allows putting back a single
+/// item to the front of the iterator.
+///
+/// Iterator element type is `I::Item`.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct PutBack<I>
+where
+ I: Iterator,
+{
+ top: Option<I::Item>,
+ iter: I,
+}
+
+/// Create an iterator where you can put back a single item
+pub fn put_back<I>(iterable: I) -> PutBack<I::IntoIter>
+where
+ I: IntoIterator,
+{
+ PutBack {
+ top: None,
+ iter: iterable.into_iter(),
+ }
+}
+
+impl<I> PutBack<I>
+where
+ I: Iterator,
+{
+ /// put back value `value` (builder method)
+ pub fn with_value(mut self, value: I::Item) -> Self {
+ self.put_back(value);
+ self
+ }
+
+ /// Split the `PutBack` into its parts.
+ #[inline]
+ pub fn into_parts(self) -> (Option<I::Item>, I) {
+ let Self { top, iter } = self;
+ (top, iter)
+ }
+
+ /// Put back a single value to the front of the iterator.
+ ///
+ /// If a value is already in the put back slot, it is returned.
+ #[inline]
+ pub fn put_back(&mut self, x: I::Item) -> Option<I::Item> {
+ self.top.replace(x)
+ }
+}
+
+impl<I> Iterator for PutBack<I>
+where
+ I: Iterator,
+{
+ type Item = I::Item;
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ match self.top {
+ None => self.iter.next(),
+ ref mut some => some.take(),
+ }
+ }
+ #[inline]
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ // Not ExactSizeIterator because size may be larger than usize
+ size_hint::add_scalar(self.iter.size_hint(), self.top.is_some() as usize)
+ }
+
+ fn count(self) -> usize {
+ self.iter.count() + (self.top.is_some() as usize)
+ }
+
+ fn last(self) -> Option<Self::Item> {
+ self.iter.last().or(self.top)
+ }
+
+ fn nth(&mut self, n: usize) -> Option<Self::Item> {
+ match self.top {
+ None => self.iter.nth(n),
+ ref mut some => {
+ if n == 0 {
+ some.take()
+ } else {
+ *some = None;
+ self.iter.nth(n - 1)
+ }
+ }
+ }
+ }
+
+ fn all<G>(&mut self, mut f: G) -> bool
+ where
+ G: FnMut(Self::Item) -> bool,
+ {
+ if let Some(elt) = self.top.take() {
+ if !f(elt) {
+ return false;
+ }
+ }
+ self.iter.all(f)
+ }
+
+ fn fold<Acc, G>(mut self, init: Acc, mut f: G) -> Acc
+ where
+ G: FnMut(Acc, Self::Item) -> Acc,
+ {
+ let mut accum = init;
+ if let Some(elt) = self.top.take() {
+ accum = f(accum, elt);
+ }
+ self.iter.fold(accum, f)
+ }
+}
+
+#[derive(Debug, Clone)]
+/// An iterator adaptor that iterates over the cartesian product of
+/// the element sets of two iterators `I` and `J`.
+///
+/// Iterator element type is `(I::Item, J::Item)`.
+///
+/// See [`.cartesian_product()`](crate::Itertools::cartesian_product) for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct Product<I, J>
+where
+ I: Iterator,
+{
+ a: I,
+ /// `a_cur` is `None` while no item have been taken out of `a` (at definition).
+ /// Then `a_cur` will be `Some(Some(item))` until `a` is exhausted,
+ /// in which case `a_cur` will be `Some(None)`.
+ a_cur: Option<Option<I::Item>>,
+ b: J,
+ b_orig: J,
+}
+
+/// Create a new cartesian product iterator
+///
+/// Iterator element type is `(I::Item, J::Item)`.
+pub fn cartesian_product<I, J>(i: I, j: J) -> Product<I, J>
+where
+ I: Iterator,
+ J: Clone + Iterator,
+ I::Item: Clone,
+{
+ Product {
+ a_cur: None,
+ a: i,
+ b: j.clone(),
+ b_orig: j,
+ }
+}
+
+impl<I, J> Iterator for Product<I, J>
+where
+ I: Iterator,
+ J: Clone + Iterator,
+ I::Item: Clone,
+{
+ type Item = (I::Item, J::Item);
+
+ fn next(&mut self) -> Option<Self::Item> {
+ let Self {
+ a,
+ a_cur,
+ b,
+ b_orig,
+ } = self;
+ let elt_b = match b.next() {
+ None => {
+ *b = b_orig.clone();
+ match b.next() {
+ None => return None,
+ Some(x) => {
+ *a_cur = Some(a.next());
+ x
+ }
+ }
+ }
+ Some(x) => x,
+ };
+ a_cur
+ .get_or_insert_with(|| a.next())
+ .as_ref()
+ .map(|a| (a.clone(), elt_b))
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ // Not ExactSizeIterator because size may be larger than usize
+ // Compute a * b_orig + b for both lower and upper bound
+ let mut sh = size_hint::mul(self.a.size_hint(), self.b_orig.size_hint());
+ if matches!(self.a_cur, Some(Some(_))) {
+ sh = size_hint::add(sh, self.b.size_hint());
+ }
+ sh
+ }
+
+ fn fold<Acc, G>(self, mut accum: Acc, mut f: G) -> Acc
+ where
+ G: FnMut(Acc, Self::Item) -> Acc,
+ {
+ // use a split loop to handle the loose a_cur as well as avoiding to
+ // clone b_orig at the end.
+ let Self {
+ mut a,
+ a_cur,
+ mut b,
+ b_orig,
+ } = self;
+ if let Some(mut elt_a) = a_cur.unwrap_or_else(|| a.next()) {
+ loop {
+ accum = b.fold(accum, |acc, elt| f(acc, (elt_a.clone(), elt)));
+
+ // we can only continue iterating a if we had a first element;
+ if let Some(next_elt_a) = a.next() {
+ b = b_orig.clone();
+ elt_a = next_elt_a;
+ } else {
+ break;
+ }
+ }
+ }
+ accum
+ }
+}
+
+impl<I, J> FusedIterator for Product<I, J>
+where
+ I: FusedIterator,
+ J: Clone + FusedIterator,
+ I::Item: Clone,
+{
+}
+
+/// A “meta iterator adaptor”. Its closure receives a reference to the iterator
+/// and may pick off as many elements as it likes, to produce the next iterator element.
+///
+/// Iterator element type is `X` if the return type of `F` is `Option<X>`.
+///
+/// See [`.batching()`](crate::Itertools::batching) for more information.
+#[derive(Clone)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct Batching<I, F> {
+ f: F,
+ iter: I,
+}
+
+impl<I, F> fmt::Debug for Batching<I, F>
+where
+ I: fmt::Debug,
+{
+ debug_fmt_fields!(Batching, iter);
+}
+
+/// Create a new Batching iterator.
+pub fn batching<I, F>(iter: I, f: F) -> Batching<I, F> {
+ Batching { f, iter }
+}
+
+impl<B, F, I> Iterator for Batching<I, F>
+where
+ I: Iterator,
+ F: FnMut(&mut I) -> Option<B>,
+{
+ type Item = B;
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ (self.f)(&mut self.iter)
+ }
+}
+
+/// An iterator adaptor that borrows from a `Clone`-able iterator
+/// to only pick off elements while the predicate returns `true`.
+///
+/// See [`.take_while_ref()`](crate::Itertools::take_while_ref) for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct TakeWhileRef<'a, I: 'a, F> {
+ iter: &'a mut I,
+ f: F,
+}
+
+impl<I, F> fmt::Debug for TakeWhileRef<'_, I, F>
+where
+ I: Iterator + fmt::Debug,
+{
+ debug_fmt_fields!(TakeWhileRef, iter);
+}
+
+/// Create a new `TakeWhileRef` from a reference to clonable iterator.
+pub fn take_while_ref<I, F>(iter: &mut I, f: F) -> TakeWhileRef<I, F>
+where
+ I: Iterator + Clone,
+{
+ TakeWhileRef { iter, f }
+}
+
+impl<I, F> Iterator for TakeWhileRef<'_, I, F>
+where
+ I: Iterator + Clone,
+ F: FnMut(&I::Item) -> bool,
+{
+ type Item = I::Item;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ let old = self.iter.clone();
+ match self.iter.next() {
+ None => None,
+ Some(elt) => {
+ if (self.f)(&elt) {
+ Some(elt)
+ } else {
+ *self.iter = old;
+ None
+ }
+ }
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ (0, self.iter.size_hint().1)
+ }
+}
+
+/// An iterator adaptor that filters `Option<A>` iterator elements
+/// and produces `A`. Stops on the first `None` encountered.
+///
+/// See [`.while_some()`](crate::Itertools::while_some) for more information.
+#[derive(Clone, Debug)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct WhileSome<I> {
+ iter: I,
+}
+
+/// Create a new `WhileSome<I>`.
+pub fn while_some<I>(iter: I) -> WhileSome<I> {
+ WhileSome { iter }
+}
+
+impl<I, A> Iterator for WhileSome<I>
+where
+ I: Iterator<Item = Option<A>>,
+{
+ type Item = A;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ match self.iter.next() {
+ None | Some(None) => None,
+ Some(elt) => elt,
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ (0, self.iter.size_hint().1)
+ }
+
+ fn fold<B, F>(mut self, acc: B, mut f: F) -> B
+ where
+ Self: Sized,
+ F: FnMut(B, Self::Item) -> B,
+ {
+ let res = self.iter.try_fold(acc, |acc, item| match item {
+ Some(item) => Ok(f(acc, item)),
+ None => Err(acc),
+ });
+
+ match res {
+ Ok(val) => val,
+ Err(val) => val,
+ }
+ }
+}
+
+/// An iterator to iterate through all combinations in a `Clone`-able iterator that produces tuples
+/// of a specific size.
+///
+/// See [`.tuple_combinations()`](crate::Itertools::tuple_combinations) for more
+/// information.
+#[derive(Clone, Debug)]
+#[must_use = "this iterator adaptor is not lazy but does nearly nothing unless consumed"]
+pub struct TupleCombinations<I, T>
+where
+ I: Iterator,
+ T: HasCombination<I>,
+{
+ iter: T::Combination,
+ _mi: PhantomData<I>,
+}
+
+pub trait HasCombination<I>: Sized {
+ type Combination: From<I> + Iterator<Item = Self>;
+}
+
+/// Create a new `TupleCombinations` from a clonable iterator.
+pub fn tuple_combinations<T, I>(iter: I) -> TupleCombinations<I, T>
+where
+ I: Iterator + Clone,
+ I::Item: Clone,
+ T: HasCombination<I>,
+{
+ TupleCombinations {
+ iter: T::Combination::from(iter),
+ _mi: PhantomData,
+ }
+}
+
+impl<I, T> Iterator for TupleCombinations<I, T>
+where
+ I: Iterator,
+ T: HasCombination<I>,
+{
+ type Item = T;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ self.iter.next()
+ }
+
+ fn size_hint(&self) -> SizeHint {
+ self.iter.size_hint()
+ }
+
+ fn count(self) -> usize {
+ self.iter.count()
+ }
+
+ fn fold<B, F>(self, init: B, f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ self.iter.fold(init, f)
+ }
+}
+
+impl<I, T> FusedIterator for TupleCombinations<I, T>
+where
+ I: FusedIterator,
+ T: HasCombination<I>,
+{
+}
+
+#[derive(Clone, Debug)]
+pub struct Tuple1Combination<I> {
+ iter: I,
+}
+
+impl<I> From<I> for Tuple1Combination<I> {
+ fn from(iter: I) -> Self {
+ Self { iter }
+ }
+}
+
+impl<I: Iterator> Iterator for Tuple1Combination<I> {
+ type Item = (I::Item,);
+
+ fn next(&mut self) -> Option<Self::Item> {
+ self.iter.next().map(|x| (x,))
+ }
+
+ fn size_hint(&self) -> SizeHint {
+ self.iter.size_hint()
+ }
+
+ fn count(self) -> usize {
+ self.iter.count()
+ }
+
+ fn fold<B, F>(self, init: B, f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ self.iter.map(|x| (x,)).fold(init, f)
+ }
+}
+
+impl<I: Iterator> HasCombination<I> for (I::Item,) {
+ type Combination = Tuple1Combination<I>;
+}
+
+macro_rules! impl_tuple_combination {
+ ($C:ident $P:ident ; $($X:ident)*) => (
+ #[derive(Clone, Debug)]
+ pub struct $C<I: Iterator> {
+ item: Option<I::Item>,
+ iter: I,
+ c: $P<I>,
+ }
+
+ impl<I: Iterator + Clone> From<I> for $C<I> {
+ fn from(mut iter: I) -> Self {
+ Self {
+ item: iter.next(),
+ iter: iter.clone(),
+ c: iter.into(),
+ }
+ }
+ }
+
+ impl<I: Iterator + Clone> From<I> for $C<Fuse<I>> {
+ fn from(iter: I) -> Self {
+ Self::from(iter.fuse())
+ }
+ }
+
+ impl<I, A> Iterator for $C<I>
+ where I: Iterator<Item = A> + Clone,
+ A: Clone,
+ {
+ type Item = (A, $(ignore_ident!($X, A)),*);
+
+ fn next(&mut self) -> Option<Self::Item> {
+ if let Some(($($X,)*)) = self.c.next() {
+ let z = self.item.clone().unwrap();
+ Some((z, $($X),*))
+ } else {
+ self.item = self.iter.next();
+ self.item.clone().and_then(|z| {
+ self.c = self.iter.clone().into();
+ self.c.next().map(|($($X,)*)| (z, $($X),*))
+ })
+ }
+ }
+
+ fn size_hint(&self) -> SizeHint {
+ const K: usize = 1 + count_ident!($($X)*);
+ let (mut n_min, mut n_max) = self.iter.size_hint();
+ n_min = checked_binomial(n_min, K).unwrap_or(usize::MAX);
+ n_max = n_max.and_then(|n| checked_binomial(n, K));
+ size_hint::add(self.c.size_hint(), (n_min, n_max))
+ }
+
+ fn count(self) -> usize {
+ const K: usize = 1 + count_ident!($($X)*);
+ let n = self.iter.count();
+ checked_binomial(n, K).unwrap() + self.c.count()
+ }
+
+ fn fold<B, F>(self, mut init: B, mut f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ // We outline this closure to prevent it from unnecessarily
+ // capturing the type parameters `I`, `B`, and `F`. Not doing
+ // so ended up causing exponentially big types during MIR
+ // inlining when building itertools with optimizations enabled.
+ //
+ // This change causes a small improvement to compile times in
+ // release mode.
+ type CurrTuple<A> = (A, $(ignore_ident!($X, A)),*);
+ type PrevTuple<A> = ($(ignore_ident!($X, A),)*);
+ fn map_fn<A: Clone>(z: &A) -> impl FnMut(PrevTuple<A>) -> CurrTuple<A> + '_ {
+ move |($($X,)*)| (z.clone(), $($X),*)
+ }
+ let Self { c, item, mut iter } = self;
+ if let Some(z) = item.as_ref() {
+ init = c
+ .map(map_fn::<A>(z))
+ .fold(init, &mut f);
+ }
+ while let Some(z) = iter.next() {
+ let c: $P<I> = iter.clone().into();
+ init = c
+ .map(map_fn::<A>(&z))
+ .fold(init, &mut f);
+ }
+ init
+ }
+ }
+
+ impl<I, A> HasCombination<I> for (A, $(ignore_ident!($X, A)),*)
+ where I: Iterator<Item = A> + Clone,
+ I::Item: Clone
+ {
+ type Combination = $C<Fuse<I>>;
+ }
+ )
+}
+
+// This snippet generates the twelve `impl_tuple_combination!` invocations:
+// use core::iter;
+// use itertools::Itertools;
+//
+// for i in 2..=12 {
+// println!("impl_tuple_combination!(Tuple{arity}Combination Tuple{prev}Combination; {idents});",
+// arity = i,
+// prev = i - 1,
+// idents = ('a'..'z').take(i - 1).join(" "),
+// );
+// }
+// It could probably be replaced by a bit more macro cleverness.
+impl_tuple_combination!(Tuple2Combination Tuple1Combination; a);
+impl_tuple_combination!(Tuple3Combination Tuple2Combination; a b);
+impl_tuple_combination!(Tuple4Combination Tuple3Combination; a b c);
+impl_tuple_combination!(Tuple5Combination Tuple4Combination; a b c d);
+impl_tuple_combination!(Tuple6Combination Tuple5Combination; a b c d e);
+impl_tuple_combination!(Tuple7Combination Tuple6Combination; a b c d e f);
+impl_tuple_combination!(Tuple8Combination Tuple7Combination; a b c d e f g);
+impl_tuple_combination!(Tuple9Combination Tuple8Combination; a b c d e f g h);
+impl_tuple_combination!(Tuple10Combination Tuple9Combination; a b c d e f g h i);
+impl_tuple_combination!(Tuple11Combination Tuple10Combination; a b c d e f g h i j);
+impl_tuple_combination!(Tuple12Combination Tuple11Combination; a b c d e f g h i j k);
+
+// https://en.wikipedia.org/wiki/Binomial_coefficient#In_programming_languages
+pub(crate) fn checked_binomial(mut n: usize, mut k: usize) -> Option<usize> {
+ if n < k {
+ return Some(0);
+ }
+ // `factorial(n) / factorial(n - k) / factorial(k)` but trying to avoid it overflows:
+ k = (n - k).min(k); // symmetry
+ let mut c = 1;
+ for i in 1..=k {
+ c = (c / i)
+ .checked_mul(n)?
+ .checked_add((c % i).checked_mul(n)? / i)?;
+ n -= 1;
+ }
+ Some(c)
+}
+
+#[test]
+fn test_checked_binomial() {
+ // With the first row: [1, 0, 0, ...] and the first column full of 1s, we check
+ // row by row the recurrence relation of binomials (which is an equivalent definition).
+ // For n >= 1 and k >= 1 we have:
+ // binomial(n, k) == binomial(n - 1, k - 1) + binomial(n - 1, k)
+ const LIMIT: usize = 500;
+ let mut row = vec![Some(0); LIMIT + 1];
+ row[0] = Some(1);
+ for n in 0..=LIMIT {
+ for k in 0..=LIMIT {
+ assert_eq!(row[k], checked_binomial(n, k));
+ }
+ row = std::iter::once(Some(1))
+ .chain((1..=LIMIT).map(|k| row[k - 1]?.checked_add(row[k]?)))
+ .collect();
+ }
+}
+
+/// An iterator adapter to filter values within a nested `Result::Ok`.
+///
+/// See [`.filter_ok()`](crate::Itertools::filter_ok) for more information.
+#[derive(Clone)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct FilterOk<I, F> {
+ iter: I,
+ f: F,
+}
+
+impl<I, F> fmt::Debug for FilterOk<I, F>
+where
+ I: fmt::Debug,
+{
+ debug_fmt_fields!(FilterOk, iter);
+}
+
+/// Create a new `FilterOk` iterator.
+pub fn filter_ok<I, F, T, E>(iter: I, f: F) -> FilterOk<I, F>
+where
+ I: Iterator<Item = Result<T, E>>,
+ F: FnMut(&T) -> bool,
+{
+ FilterOk { iter, f }
+}
+
+impl<I, F, T, E> Iterator for FilterOk<I, F>
+where
+ I: Iterator<Item = Result<T, E>>,
+ F: FnMut(&T) -> bool,
+{
+ type Item = Result<T, E>;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ let f = &mut self.f;
+ self.iter.find(|res| match res {
+ Ok(t) => f(t),
+ _ => true,
+ })
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ (0, self.iter.size_hint().1)
+ }
+
+ fn fold<Acc, Fold>(self, init: Acc, fold_f: Fold) -> Acc
+ where
+ Fold: FnMut(Acc, Self::Item) -> Acc,
+ {
+ let mut f = self.f;
+ self.iter
+ .filter(|v| v.as_ref().map(&mut f).unwrap_or(true))
+ .fold(init, fold_f)
+ }
+
+ fn collect<C>(self) -> C
+ where
+ C: FromIterator<Self::Item>,
+ {
+ let mut f = self.f;
+ self.iter
+ .filter(|v| v.as_ref().map(&mut f).unwrap_or(true))
+ .collect()
+ }
+}
+
+impl<I, F, T, E> DoubleEndedIterator for FilterOk<I, F>
+where
+ I: DoubleEndedIterator<Item = Result<T, E>>,
+ F: FnMut(&T) -> bool,
+{
+ fn next_back(&mut self) -> Option<Self::Item> {
+ let f = &mut self.f;
+ self.iter.rfind(|res| match res {
+ Ok(t) => f(t),
+ _ => true,
+ })
+ }
+
+ fn rfold<Acc, Fold>(self, init: Acc, fold_f: Fold) -> Acc
+ where
+ Fold: FnMut(Acc, Self::Item) -> Acc,
+ {
+ let mut f = self.f;
+ self.iter
+ .filter(|v| v.as_ref().map(&mut f).unwrap_or(true))
+ .rfold(init, fold_f)
+ }
+}
+
+impl<I, F, T, E> FusedIterator for FilterOk<I, F>
+where
+ I: FusedIterator<Item = Result<T, E>>,
+ F: FnMut(&T) -> bool,
+{
+}
+
+/// An iterator adapter to filter and apply a transformation on values within a nested `Result::Ok`.
+///
+/// See [`.filter_map_ok()`](crate::Itertools::filter_map_ok) for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+#[derive(Clone)]
+pub struct FilterMapOk<I, F> {
+ iter: I,
+ f: F,
+}
+
+impl<I, F> fmt::Debug for FilterMapOk<I, F>
+where
+ I: fmt::Debug,
+{
+ debug_fmt_fields!(FilterMapOk, iter);
+}
+
+fn transpose_result<T, E>(result: Result<Option<T>, E>) -> Option<Result<T, E>> {
+ match result {
+ Ok(Some(v)) => Some(Ok(v)),
+ Ok(None) => None,
+ Err(e) => Some(Err(e)),
+ }
+}
+
+/// Create a new `FilterOk` iterator.
+pub fn filter_map_ok<I, F, T, U, E>(iter: I, f: F) -> FilterMapOk<I, F>
+where
+ I: Iterator<Item = Result<T, E>>,
+ F: FnMut(T) -> Option<U>,
+{
+ FilterMapOk { iter, f }
+}
+
+impl<I, F, T, U, E> Iterator for FilterMapOk<I, F>
+where
+ I: Iterator<Item = Result<T, E>>,
+ F: FnMut(T) -> Option<U>,
+{
+ type Item = Result<U, E>;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ let f = &mut self.f;
+ self.iter.find_map(|res| match res {
+ Ok(t) => f(t).map(Ok),
+ Err(e) => Some(Err(e)),
+ })
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ (0, self.iter.size_hint().1)
+ }
+
+ fn fold<Acc, Fold>(self, init: Acc, fold_f: Fold) -> Acc
+ where
+ Fold: FnMut(Acc, Self::Item) -> Acc,
+ {
+ let mut f = self.f;
+ self.iter
+ .filter_map(|v| transpose_result(v.map(&mut f)))
+ .fold(init, fold_f)
+ }
+
+ fn collect<C>(self) -> C
+ where
+ C: FromIterator<Self::Item>,
+ {
+ let mut f = self.f;
+ self.iter
+ .filter_map(|v| transpose_result(v.map(&mut f)))
+ .collect()
+ }
+}
+
+impl<I, F, T, U, E> DoubleEndedIterator for FilterMapOk<I, F>
+where
+ I: DoubleEndedIterator<Item = Result<T, E>>,
+ F: FnMut(T) -> Option<U>,
+{
+ fn next_back(&mut self) -> Option<Self::Item> {
+ let f = &mut self.f;
+ self.iter.by_ref().rev().find_map(|res| match res {
+ Ok(t) => f(t).map(Ok),
+ Err(e) => Some(Err(e)),
+ })
+ }
+
+ fn rfold<Acc, Fold>(self, init: Acc, fold_f: Fold) -> Acc
+ where
+ Fold: FnMut(Acc, Self::Item) -> Acc,
+ {
+ let mut f = self.f;
+ self.iter
+ .filter_map(|v| transpose_result(v.map(&mut f)))
+ .rfold(init, fold_f)
+ }
+}
+
+impl<I, F, T, U, E> FusedIterator for FilterMapOk<I, F>
+where
+ I: FusedIterator<Item = Result<T, E>>,
+ F: FnMut(T) -> Option<U>,
+{
+}
+
+/// An iterator adapter to get the positions of each element that matches a predicate.
+///
+/// See [`.positions()`](crate::Itertools::positions) for more information.
+#[derive(Clone)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct Positions<I, F> {
+ iter: Enumerate<I>,
+ f: F,
+}
+
+impl<I, F> fmt::Debug for Positions<I, F>
+where
+ I: fmt::Debug,
+{
+ debug_fmt_fields!(Positions, iter);
+}
+
+/// Create a new `Positions` iterator.
+pub fn positions<I, F>(iter: I, f: F) -> Positions<I, F>
+where
+ I: Iterator,
+ F: FnMut(I::Item) -> bool,
+{
+ let iter = iter.enumerate();
+ Positions { iter, f }
+}
+
+impl<I, F> Iterator for Positions<I, F>
+where
+ I: Iterator,
+ F: FnMut(I::Item) -> bool,
+{
+ type Item = usize;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ let f = &mut self.f;
+ self.iter.find_map(|(count, val)| f(val).then_some(count))
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ (0, self.iter.size_hint().1)
+ }
+
+ fn fold<B, G>(self, init: B, mut func: G) -> B
+ where
+ G: FnMut(B, Self::Item) -> B,
+ {
+ let mut f = self.f;
+ self.iter.fold(init, |mut acc, (count, val)| {
+ if f(val) {
+ acc = func(acc, count);
+ }
+ acc
+ })
+ }
+}
+
+impl<I, F> DoubleEndedIterator for Positions<I, F>
+where
+ I: DoubleEndedIterator + ExactSizeIterator,
+ F: FnMut(I::Item) -> bool,
+{
+ fn next_back(&mut self) -> Option<Self::Item> {
+ let f = &mut self.f;
+ self.iter
+ .by_ref()
+ .rev()
+ .find_map(|(count, val)| f(val).then_some(count))
+ }
+
+ fn rfold<B, G>(self, init: B, mut func: G) -> B
+ where
+ G: FnMut(B, Self::Item) -> B,
+ {
+ let mut f = self.f;
+ self.iter.rfold(init, |mut acc, (count, val)| {
+ if f(val) {
+ acc = func(acc, count);
+ }
+ acc
+ })
+ }
+}
+
+impl<I, F> FusedIterator for Positions<I, F>
+where
+ I: FusedIterator,
+ F: FnMut(I::Item) -> bool,
+{
+}
+
+/// An iterator adapter to apply a mutating function to each element before yielding it.
+///
+/// See [`.update()`](crate::Itertools::update) for more information.
+#[derive(Clone)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct Update<I, F> {
+ iter: I,
+ f: F,
+}
+
+impl<I, F> fmt::Debug for Update<I, F>
+where
+ I: fmt::Debug,
+{
+ debug_fmt_fields!(Update, iter);
+}
+
+/// Create a new `Update` iterator.
+pub fn update<I, F>(iter: I, f: F) -> Update<I, F>
+where
+ I: Iterator,
+ F: FnMut(&mut I::Item),
+{
+ Update { iter, f }
+}
+
+impl<I, F> Iterator for Update<I, F>
+where
+ I: Iterator,
+ F: FnMut(&mut I::Item),
+{
+ type Item = I::Item;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ if let Some(mut v) = self.iter.next() {
+ (self.f)(&mut v);
+ Some(v)
+ } else {
+ None
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ self.iter.size_hint()
+ }
+
+ fn fold<Acc, G>(self, init: Acc, mut g: G) -> Acc
+ where
+ G: FnMut(Acc, Self::Item) -> Acc,
+ {
+ let mut f = self.f;
+ self.iter.fold(init, move |acc, mut v| {
+ f(&mut v);
+ g(acc, v)
+ })
+ }
+
+ // if possible, re-use inner iterator specializations in collect
+ fn collect<C>(self) -> C
+ where
+ C: FromIterator<Self::Item>,
+ {
+ let mut f = self.f;
+ self.iter
+ .map(move |mut v| {
+ f(&mut v);
+ v
+ })
+ .collect()
+ }
+}
+
+impl<I, F> ExactSizeIterator for Update<I, F>
+where
+ I: ExactSizeIterator,
+ F: FnMut(&mut I::Item),
+{
+}
+
+impl<I, F> DoubleEndedIterator for Update<I, F>
+where
+ I: DoubleEndedIterator,
+ F: FnMut(&mut I::Item),
+{
+ fn next_back(&mut self) -> Option<Self::Item> {
+ if let Some(mut v) = self.iter.next_back() {
+ (self.f)(&mut v);
+ Some(v)
+ } else {
+ None
+ }
+ }
+}
+
+impl<I, F> FusedIterator for Update<I, F>
+where
+ I: FusedIterator,
+ F: FnMut(&mut I::Item),
+{
+}
diff --git a/vendor/itertools/src/adaptors/multi_product.rs b/vendor/itertools/src/adaptors/multi_product.rs
new file mode 100644
index 00000000..314d4a46
--- /dev/null
+++ b/vendor/itertools/src/adaptors/multi_product.rs
@@ -0,0 +1,231 @@
+#![cfg(feature = "use_alloc")]
+use Option::{self as State, None as ProductEnded, Some as ProductInProgress};
+use Option::{self as CurrentItems, None as NotYetPopulated, Some as Populated};
+
+use alloc::vec::Vec;
+
+use crate::size_hint;
+
+#[derive(Clone)]
+/// An iterator adaptor that iterates over the cartesian product of
+/// multiple iterators of type `I`.
+///
+/// An iterator element type is `Vec<I::Item>`.
+///
+/// See [`.multi_cartesian_product()`](crate::Itertools::multi_cartesian_product)
+/// for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct MultiProduct<I>(State<MultiProductInner<I>>)
+where
+ I: Iterator + Clone,
+ I::Item: Clone;
+
+#[derive(Clone)]
+/// Internals for `MultiProduct`.
+struct MultiProductInner<I>
+where
+ I: Iterator + Clone,
+ I::Item: Clone,
+{
+ /// Holds the iterators.
+ iters: Vec<MultiProductIter<I>>,
+ /// Not populated at the beginning then it holds the current item of each iterator.
+ cur: CurrentItems<Vec<I::Item>>,
+}
+
+impl<I> std::fmt::Debug for MultiProduct<I>
+where
+ I: Iterator + Clone + std::fmt::Debug,
+ I::Item: Clone + std::fmt::Debug,
+{
+ debug_fmt_fields!(MultiProduct, 0);
+}
+
+impl<I> std::fmt::Debug for MultiProductInner<I>
+where
+ I: Iterator + Clone + std::fmt::Debug,
+ I::Item: Clone + std::fmt::Debug,
+{
+ debug_fmt_fields!(MultiProductInner, iters, cur);
+}
+
+/// Create a new cartesian product iterator over an arbitrary number
+/// of iterators of the same type.
+///
+/// Iterator element is of type `Vec<H::Item::Item>`.
+pub fn multi_cartesian_product<H>(iters: H) -> MultiProduct<<H::Item as IntoIterator>::IntoIter>
+where
+ H: Iterator,
+ H::Item: IntoIterator,
+ <H::Item as IntoIterator>::IntoIter: Clone,
+ <H::Item as IntoIterator>::Item: Clone,
+{
+ let inner = MultiProductInner {
+ iters: iters
+ .map(|i| MultiProductIter::new(i.into_iter()))
+ .collect(),
+ cur: NotYetPopulated,
+ };
+ MultiProduct(ProductInProgress(inner))
+}
+
+#[derive(Clone, Debug)]
+/// Holds the state of a single iterator within a `MultiProduct`.
+struct MultiProductIter<I>
+where
+ I: Iterator + Clone,
+ I::Item: Clone,
+{
+ iter: I,
+ iter_orig: I,
+}
+
+impl<I> MultiProductIter<I>
+where
+ I: Iterator + Clone,
+ I::Item: Clone,
+{
+ fn new(iter: I) -> Self {
+ Self {
+ iter: iter.clone(),
+ iter_orig: iter,
+ }
+ }
+}
+
+impl<I> Iterator for MultiProduct<I>
+where
+ I: Iterator + Clone,
+ I::Item: Clone,
+{
+ type Item = Vec<I::Item>;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ // This fuses the iterator.
+ let inner = self.0.as_mut()?;
+ match &mut inner.cur {
+ Populated(values) => {
+ debug_assert!(!inner.iters.is_empty());
+ // Find (from the right) a non-finished iterator and
+ // reset the finished ones encountered.
+ for (iter, item) in inner.iters.iter_mut().zip(values.iter_mut()).rev() {
+ if let Some(new) = iter.iter.next() {
+ *item = new;
+ return Some(values.clone());
+ } else {
+ iter.iter = iter.iter_orig.clone();
+ // `cur` is populated so the untouched `iter_orig` can not be empty.
+ *item = iter.iter.next().unwrap();
+ }
+ }
+ self.0 = ProductEnded;
+ None
+ }
+ // Only the first time.
+ NotYetPopulated => {
+ let next: Option<Vec<_>> = inner.iters.iter_mut().map(|i| i.iter.next()).collect();
+ if next.is_none() || inner.iters.is_empty() {
+ // This cartesian product had at most one item to generate and now ends.
+ self.0 = ProductEnded;
+ } else {
+ inner.cur.clone_from(&next);
+ }
+ next
+ }
+ }
+ }
+
+ fn count(self) -> usize {
+ match self.0 {
+ ProductEnded => 0,
+ // The iterator is fresh so the count is the product of the length of each iterator:
+ // - If one of them is empty, stop counting.
+ // - Less `count()` calls than the general case.
+ ProductInProgress(MultiProductInner {
+ iters,
+ cur: NotYetPopulated,
+ }) => iters
+ .into_iter()
+ .map(|iter| iter.iter_orig.count())
+ .try_fold(1, |product, count| {
+ if count == 0 {
+ None
+ } else {
+ Some(product * count)
+ }
+ })
+ .unwrap_or_default(),
+ // The general case.
+ ProductInProgress(MultiProductInner {
+ iters,
+ cur: Populated(_),
+ }) => iters.into_iter().fold(0, |mut acc, iter| {
+ if acc != 0 {
+ acc *= iter.iter_orig.count();
+ }
+ acc + iter.iter.count()
+ }),
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ match &self.0 {
+ ProductEnded => (0, Some(0)),
+ ProductInProgress(MultiProductInner {
+ iters,
+ cur: NotYetPopulated,
+ }) => iters
+ .iter()
+ .map(|iter| iter.iter_orig.size_hint())
+ .fold((1, Some(1)), size_hint::mul),
+ ProductInProgress(MultiProductInner {
+ iters,
+ cur: Populated(_),
+ }) => {
+ if let [first, tail @ ..] = &iters[..] {
+ tail.iter().fold(first.iter.size_hint(), |mut sh, iter| {
+ sh = size_hint::mul(sh, iter.iter_orig.size_hint());
+ size_hint::add(sh, iter.iter.size_hint())
+ })
+ } else {
+ // Since it is populated, this cartesian product has started so `iters` is not empty.
+ unreachable!()
+ }
+ }
+ }
+ }
+
+ fn last(self) -> Option<Self::Item> {
+ let MultiProductInner { iters, cur } = self.0?;
+ // Collect the last item of each iterator of the product.
+ if let Populated(values) = cur {
+ let mut count = iters.len();
+ let last = iters
+ .into_iter()
+ .zip(values)
+ .map(|(i, value)| {
+ i.iter.last().unwrap_or_else(|| {
+ // The iterator is empty, use its current `value`.
+ count -= 1;
+ value
+ })
+ })
+ .collect();
+ if count == 0 {
+ // `values` was the last item.
+ None
+ } else {
+ Some(last)
+ }
+ } else {
+ iters.into_iter().map(|i| i.iter.last()).collect()
+ }
+ }
+}
+
+impl<I> std::iter::FusedIterator for MultiProduct<I>
+where
+ I: Iterator + Clone,
+ I::Item: Clone,
+{
+}
diff --git a/vendor/itertools/src/combinations.rs b/vendor/itertools/src/combinations.rs
new file mode 100644
index 00000000..54a02755
--- /dev/null
+++ b/vendor/itertools/src/combinations.rs
@@ -0,0 +1,308 @@
+use core::array;
+use core::borrow::BorrowMut;
+use std::fmt;
+use std::iter::FusedIterator;
+
+use super::lazy_buffer::LazyBuffer;
+use alloc::vec::Vec;
+
+use crate::adaptors::checked_binomial;
+
+/// Iterator for `Vec` valued combinations returned by [`.combinations()`](crate::Itertools::combinations)
+pub type Combinations<I> = CombinationsGeneric<I, Vec<usize>>;
+/// Iterator for const generic combinations returned by [`.array_combinations()`](crate::Itertools::array_combinations)
+pub type ArrayCombinations<I, const K: usize> = CombinationsGeneric<I, [usize; K]>;
+
+/// Create a new `Combinations` from a clonable iterator.
+pub fn combinations<I: Iterator>(iter: I, k: usize) -> Combinations<I>
+where
+ I::Item: Clone,
+{
+ Combinations::new(iter, (0..k).collect())
+}
+
+/// Create a new `ArrayCombinations` from a clonable iterator.
+pub fn array_combinations<I: Iterator, const K: usize>(iter: I) -> ArrayCombinations<I, K>
+where
+ I::Item: Clone,
+{
+ ArrayCombinations::new(iter, array::from_fn(|i| i))
+}
+
+/// An iterator to iterate through all the `k`-length combinations in an iterator.
+///
+/// See [`.combinations()`](crate::Itertools::combinations) and [`.array_combinations()`](crate::Itertools::array_combinations) for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct CombinationsGeneric<I: Iterator, Idx> {
+ indices: Idx,
+ pool: LazyBuffer<I>,
+ first: bool,
+}
+
+/// A type holding indices of elements in a pool or buffer of items from an inner iterator
+/// and used to pick out different combinations in a generic way.
+pub trait PoolIndex<T>: BorrowMut<[usize]> {
+ type Item;
+
+ fn extract_item<I: Iterator<Item = T>>(&self, pool: &LazyBuffer<I>) -> Self::Item
+ where
+ T: Clone;
+
+ fn len(&self) -> usize {
+ self.borrow().len()
+ }
+}
+
+impl<T> PoolIndex<T> for Vec<usize> {
+ type Item = Vec<T>;
+
+ fn extract_item<I: Iterator<Item = T>>(&self, pool: &LazyBuffer<I>) -> Vec<T>
+ where
+ T: Clone,
+ {
+ pool.get_at(self)
+ }
+}
+
+impl<T, const K: usize> PoolIndex<T> for [usize; K] {
+ type Item = [T; K];
+
+ fn extract_item<I: Iterator<Item = T>>(&self, pool: &LazyBuffer<I>) -> [T; K]
+ where
+ T: Clone,
+ {
+ pool.get_array(*self)
+ }
+}
+
+impl<I, Idx> Clone for CombinationsGeneric<I, Idx>
+where
+ I: Iterator + Clone,
+ I::Item: Clone,
+ Idx: Clone,
+{
+ clone_fields!(indices, pool, first);
+}
+
+impl<I, Idx> fmt::Debug for CombinationsGeneric<I, Idx>
+where
+ I: Iterator + fmt::Debug,
+ I::Item: fmt::Debug,
+ Idx: fmt::Debug,
+{
+ debug_fmt_fields!(Combinations, indices, pool, first);
+}
+
+impl<I: Iterator, Idx: PoolIndex<I::Item>> CombinationsGeneric<I, Idx> {
+ /// Constructor with arguments the inner iterator and the initial state for the indices.
+ fn new(iter: I, indices: Idx) -> Self {
+ Self {
+ indices,
+ pool: LazyBuffer::new(iter),
+ first: true,
+ }
+ }
+
+ /// Returns the length of a combination produced by this iterator.
+ #[inline]
+ pub fn k(&self) -> usize {
+ self.indices.len()
+ }
+
+ /// Returns the (current) length of the pool from which combination elements are
+ /// selected. This value can change between invocations of [`next`](Combinations::next).
+ #[inline]
+ pub fn n(&self) -> usize {
+ self.pool.len()
+ }
+
+ /// Returns a reference to the source pool.
+ #[inline]
+ pub(crate) fn src(&self) -> &LazyBuffer<I> {
+ &self.pool
+ }
+
+ /// Return the length of the inner iterator and the count of remaining combinations.
+ pub(crate) fn n_and_count(self) -> (usize, usize) {
+ let Self {
+ indices,
+ pool,
+ first,
+ } = self;
+ let n = pool.count();
+ (n, remaining_for(n, first, indices.borrow()).unwrap())
+ }
+
+ /// Initialises the iterator by filling a buffer with elements from the
+ /// iterator. Returns true if there are no combinations, false otherwise.
+ fn init(&mut self) -> bool {
+ self.pool.prefill(self.k());
+ let done = self.k() > self.n();
+ if !done {
+ self.first = false;
+ }
+
+ done
+ }
+
+ /// Increments indices representing the combination to advance to the next
+ /// (in lexicographic order by increasing sequence) combination. For example
+ /// if we have n=4 & k=2 then `[0, 1] -> [0, 2] -> [0, 3] -> [1, 2] -> ...`
+ ///
+ /// Returns true if we've run out of combinations, false otherwise.
+ fn increment_indices(&mut self) -> bool {
+ // Borrow once instead of noise each time it's indexed
+ let indices = self.indices.borrow_mut();
+
+ if indices.is_empty() {
+ return true; // Done
+ }
+ // Scan from the end, looking for an index to increment
+ let mut i: usize = indices.len() - 1;
+
+ // Check if we need to consume more from the iterator
+ if indices[i] == self.pool.len() - 1 {
+ self.pool.get_next(); // may change pool size
+ }
+
+ while indices[i] == i + self.pool.len() - indices.len() {
+ if i > 0 {
+ i -= 1;
+ } else {
+ // Reached the last combination
+ return true;
+ }
+ }
+
+ // Increment index, and reset the ones to its right
+ indices[i] += 1;
+ for j in i + 1..indices.len() {
+ indices[j] = indices[j - 1] + 1;
+ }
+ // If we've made it this far, we haven't run out of combos
+ false
+ }
+
+ /// Returns the n-th item or the number of successful steps.
+ pub(crate) fn try_nth(&mut self, n: usize) -> Result<<Self as Iterator>::Item, usize>
+ where
+ I: Iterator,
+ I::Item: Clone,
+ {
+ let done = if self.first {
+ self.init()
+ } else {
+ self.increment_indices()
+ };
+ if done {
+ return Err(0);
+ }
+ for i in 0..n {
+ if self.increment_indices() {
+ return Err(i + 1);
+ }
+ }
+ Ok(self.indices.extract_item(&self.pool))
+ }
+}
+
+impl<I, Idx> Iterator for CombinationsGeneric<I, Idx>
+where
+ I: Iterator,
+ I::Item: Clone,
+ Idx: PoolIndex<I::Item>,
+{
+ type Item = Idx::Item;
+ fn next(&mut self) -> Option<Self::Item> {
+ let done = if self.first {
+ self.init()
+ } else {
+ self.increment_indices()
+ };
+
+ if done {
+ return None;
+ }
+
+ Some(self.indices.extract_item(&self.pool))
+ }
+
+ fn nth(&mut self, n: usize) -> Option<Self::Item> {
+ self.try_nth(n).ok()
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let (mut low, mut upp) = self.pool.size_hint();
+ low = remaining_for(low, self.first, self.indices.borrow()).unwrap_or(usize::MAX);
+ upp = upp.and_then(|upp| remaining_for(upp, self.first, self.indices.borrow()));
+ (low, upp)
+ }
+
+ #[inline]
+ fn count(self) -> usize {
+ self.n_and_count().1
+ }
+}
+
+impl<I, Idx> FusedIterator for CombinationsGeneric<I, Idx>
+where
+ I: Iterator,
+ I::Item: Clone,
+ Idx: PoolIndex<I::Item>,
+{
+}
+
+impl<I: Iterator> Combinations<I> {
+ /// Resets this `Combinations` back to an initial state for combinations of length
+ /// `k` over the same pool data source. If `k` is larger than the current length
+ /// of the data pool an attempt is made to prefill the pool so that it holds `k`
+ /// elements.
+ pub(crate) fn reset(&mut self, k: usize) {
+ self.first = true;
+
+ if k < self.indices.len() {
+ self.indices.truncate(k);
+ for i in 0..k {
+ self.indices[i] = i;
+ }
+ } else {
+ for i in 0..self.indices.len() {
+ self.indices[i] = i;
+ }
+ self.indices.extend(self.indices.len()..k);
+ self.pool.prefill(k);
+ }
+ }
+}
+
+/// For a given size `n`, return the count of remaining combinations or None if it would overflow.
+fn remaining_for(n: usize, first: bool, indices: &[usize]) -> Option<usize> {
+ let k = indices.len();
+ if n < k {
+ Some(0)
+ } else if first {
+ checked_binomial(n, k)
+ } else {
+ // https://en.wikipedia.org/wiki/Combinatorial_number_system
+ // http://www.site.uottawa.ca/~lucia/courses/5165-09/GenCombObj.pdf
+
+ // The combinations generated after the current one can be counted by counting as follows:
+ // - The subsequent combinations that differ in indices[0]:
+ // If subsequent combinations differ in indices[0], then their value for indices[0]
+ // must be at least 1 greater than the current indices[0].
+ // As indices is strictly monotonically sorted, this means we can effectively choose k values
+ // from (n - 1 - indices[0]), leading to binomial(n - 1 - indices[0], k) possibilities.
+ // - The subsequent combinations with same indices[0], but differing indices[1]:
+ // Here we can choose k - 1 values from (n - 1 - indices[1]) values,
+ // leading to binomial(n - 1 - indices[1], k - 1) possibilities.
+ // - (...)
+ // - The subsequent combinations with same indices[0..=i], but differing indices[i]:
+ // Here we can choose k - i values from (n - 1 - indices[i]) values: binomial(n - 1 - indices[i], k - i).
+ // Since subsequent combinations can in any index, we must sum up the aforementioned binomial coefficients.
+
+ // Below, `n0` resembles indices[i].
+ indices.iter().enumerate().try_fold(0usize, |sum, (i, n0)| {
+ sum.checked_add(checked_binomial(n - 1 - *n0, k - i)?)
+ })
+ }
+}
diff --git a/vendor/itertools/src/combinations_with_replacement.rs b/vendor/itertools/src/combinations_with_replacement.rs
new file mode 100644
index 00000000..c17e7525
--- /dev/null
+++ b/vendor/itertools/src/combinations_with_replacement.rs
@@ -0,0 +1,188 @@
+use alloc::boxed::Box;
+use alloc::vec::Vec;
+use std::fmt;
+use std::iter::FusedIterator;
+
+use super::lazy_buffer::LazyBuffer;
+use crate::adaptors::checked_binomial;
+
+/// An iterator to iterate through all the `n`-length combinations in an iterator, with replacement.
+///
+/// See [`.combinations_with_replacement()`](crate::Itertools::combinations_with_replacement)
+/// for more information.
+#[derive(Clone)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct CombinationsWithReplacement<I>
+where
+ I: Iterator,
+ I::Item: Clone,
+{
+ indices: Box<[usize]>,
+ pool: LazyBuffer<I>,
+ first: bool,
+}
+
+impl<I> fmt::Debug for CombinationsWithReplacement<I>
+where
+ I: Iterator + fmt::Debug,
+ I::Item: fmt::Debug + Clone,
+{
+ debug_fmt_fields!(CombinationsWithReplacement, indices, pool, first);
+}
+
+/// Create a new `CombinationsWithReplacement` from a clonable iterator.
+pub fn combinations_with_replacement<I>(iter: I, k: usize) -> CombinationsWithReplacement<I>
+where
+ I: Iterator,
+ I::Item: Clone,
+{
+ let indices = alloc::vec![0; k].into_boxed_slice();
+ let pool: LazyBuffer<I> = LazyBuffer::new(iter);
+
+ CombinationsWithReplacement {
+ indices,
+ pool,
+ first: true,
+ }
+}
+
+impl<I> CombinationsWithReplacement<I>
+where
+ I: Iterator,
+ I::Item: Clone,
+{
+ /// Increments indices representing the combination to advance to the next
+ /// (in lexicographic order by increasing sequence) combination.
+ ///
+ /// Returns true if we've run out of combinations, false otherwise.
+ fn increment_indices(&mut self) -> bool {
+ // Check if we need to consume more from the iterator
+ // This will run while we increment our first index digit
+ self.pool.get_next();
+
+ // Work out where we need to update our indices
+ let mut increment = None;
+ for (i, indices_int) in self.indices.iter().enumerate().rev() {
+ if *indices_int < self.pool.len() - 1 {
+ increment = Some((i, indices_int + 1));
+ break;
+ }
+ }
+ match increment {
+ // If we can update the indices further
+ Some((increment_from, increment_value)) => {
+ // We need to update the rightmost non-max value
+ // and all those to the right
+ self.indices[increment_from..].fill(increment_value);
+ false
+ }
+ // Otherwise, we're done
+ None => true,
+ }
+ }
+}
+
+impl<I> Iterator for CombinationsWithReplacement<I>
+where
+ I: Iterator,
+ I::Item: Clone,
+{
+ type Item = Vec<I::Item>;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ if self.first {
+ // In empty edge cases, stop iterating immediately
+ if !(self.indices.is_empty() || self.pool.get_next()) {
+ return None;
+ }
+ self.first = false;
+ } else if self.increment_indices() {
+ return None;
+ }
+ Some(self.pool.get_at(&self.indices))
+ }
+
+ fn nth(&mut self, n: usize) -> Option<Self::Item> {
+ if self.first {
+ // In empty edge cases, stop iterating immediately
+ if !(self.indices.is_empty() || self.pool.get_next()) {
+ return None;
+ }
+ self.first = false;
+ } else if self.increment_indices() {
+ return None;
+ }
+ for _ in 0..n {
+ if self.increment_indices() {
+ return None;
+ }
+ }
+ Some(self.pool.get_at(&self.indices))
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let (mut low, mut upp) = self.pool.size_hint();
+ low = remaining_for(low, self.first, &self.indices).unwrap_or(usize::MAX);
+ upp = upp.and_then(|upp| remaining_for(upp, self.first, &self.indices));
+ (low, upp)
+ }
+
+ fn count(self) -> usize {
+ let Self {
+ indices,
+ pool,
+ first,
+ } = self;
+ let n = pool.count();
+ remaining_for(n, first, &indices).unwrap()
+ }
+}
+
+impl<I> FusedIterator for CombinationsWithReplacement<I>
+where
+ I: Iterator,
+ I::Item: Clone,
+{
+}
+
+/// For a given size `n`, return the count of remaining combinations with replacement or None if it would overflow.
+fn remaining_for(n: usize, first: bool, indices: &[usize]) -> Option<usize> {
+ // With a "stars and bars" representation, choose k values with replacement from n values is
+ // like choosing k out of k + n − 1 positions (hence binomial(k + n - 1, k) possibilities)
+ // to place k stars and therefore n - 1 bars.
+ // Example (n=4, k=6): ***|*||** represents [0,0,0,1,3,3].
+ let count = |n: usize, k: usize| {
+ let positions = if n == 0 {
+ k.saturating_sub(1)
+ } else {
+ (n - 1).checked_add(k)?
+ };
+ checked_binomial(positions, k)
+ };
+ let k = indices.len();
+ if first {
+ count(n, k)
+ } else {
+ // The algorithm is similar to the one for combinations *without replacement*,
+ // except we choose values *with replacement* and indices are *non-strictly* monotonically sorted.
+
+ // The combinations generated after the current one can be counted by counting as follows:
+ // - The subsequent combinations that differ in indices[0]:
+ // If subsequent combinations differ in indices[0], then their value for indices[0]
+ // must be at least 1 greater than the current indices[0].
+ // As indices is monotonically sorted, this means we can effectively choose k values with
+ // replacement from (n - 1 - indices[0]), leading to count(n - 1 - indices[0], k) possibilities.
+ // - The subsequent combinations with same indices[0], but differing indices[1]:
+ // Here we can choose k - 1 values with replacement from (n - 1 - indices[1]) values,
+ // leading to count(n - 1 - indices[1], k - 1) possibilities.
+ // - (...)
+ // - The subsequent combinations with same indices[0..=i], but differing indices[i]:
+ // Here we can choose k - i values with replacement from (n - 1 - indices[i]) values: count(n - 1 - indices[i], k - i).
+ // Since subsequent combinations can in any index, we must sum up the aforementioned binomial coefficients.
+
+ // Below, `n0` resembles indices[i].
+ indices.iter().enumerate().try_fold(0usize, |sum, (i, n0)| {
+ sum.checked_add(count(n - 1 - *n0, k - i)?)
+ })
+ }
+}
diff --git a/vendor/itertools/src/concat_impl.rs b/vendor/itertools/src/concat_impl.rs
new file mode 100644
index 00000000..dc80839c
--- /dev/null
+++ b/vendor/itertools/src/concat_impl.rs
@@ -0,0 +1,27 @@
+/// Combine all an iterator's elements into one element by using [`Extend`].
+///
+/// [`IntoIterator`]-enabled version of [`Itertools::concat`](crate::Itertools::concat).
+///
+/// This combinator will extend the first item with each of the rest of the
+/// items of the iterator. If the iterator is empty, the default value of
+/// `I::Item` is returned.
+///
+/// ```rust
+/// use itertools::concat;
+///
+/// let input = vec![vec![1], vec![2, 3], vec![4, 5, 6]];
+/// assert_eq!(concat(input), vec![1, 2, 3, 4, 5, 6]);
+/// ```
+pub fn concat<I>(iterable: I) -> I::Item
+where
+ I: IntoIterator,
+ I::Item: Extend<<<I as IntoIterator>::Item as IntoIterator>::Item> + IntoIterator + Default,
+{
+ iterable
+ .into_iter()
+ .reduce(|mut a, b| {
+ a.extend(b);
+ a
+ })
+ .unwrap_or_default()
+}
diff --git a/vendor/itertools/src/cons_tuples_impl.rs b/vendor/itertools/src/cons_tuples_impl.rs
new file mode 100644
index 00000000..7e86260b
--- /dev/null
+++ b/vendor/itertools/src/cons_tuples_impl.rs
@@ -0,0 +1,39 @@
+use crate::adaptors::map::{MapSpecialCase, MapSpecialCaseFn};
+
+macro_rules! impl_cons_iter(
+ ($_A:ident, $_B:ident, ) => (); // stop
+
+ ($A:ident, $($B:ident,)*) => (
+ impl_cons_iter!($($B,)*);
+ #[allow(non_snake_case)]
+ impl<$($B),*, X> MapSpecialCaseFn<(($($B,)*), X)> for ConsTuplesFn {
+ type Out = ($($B,)* X, );
+ fn call(&mut self, (($($B,)*), X): (($($B,)*), X)) -> Self::Out {
+ ($($B,)* X, )
+ }
+ }
+ );
+);
+
+impl_cons_iter!(A, B, C, D, E, F, G, H, I, J, K, L,);
+
+#[derive(Debug, Clone)]
+pub struct ConsTuplesFn;
+
+/// An iterator that maps an iterator of tuples like
+/// `((A, B), C)` to an iterator of `(A, B, C)`.
+///
+/// Used by the `iproduct!()` macro.
+pub type ConsTuples<I> = MapSpecialCase<I, ConsTuplesFn>;
+
+/// Create an iterator that maps for example iterators of
+/// `((A, B), C)` to `(A, B, C)`.
+pub fn cons_tuples<I>(iterable: I) -> ConsTuples<I::IntoIter>
+where
+ I: IntoIterator,
+{
+ ConsTuples {
+ iter: iterable.into_iter(),
+ f: ConsTuplesFn,
+ }
+}
diff --git a/vendor/itertools/src/diff.rs b/vendor/itertools/src/diff.rs
new file mode 100644
index 00000000..df88d803
--- /dev/null
+++ b/vendor/itertools/src/diff.rs
@@ -0,0 +1,104 @@
+//! "Diff"ing iterators for caching elements to sequential collections without requiring the new
+//! elements' iterator to be `Clone`.
+//!
+//! [`Diff`] (produced by the [`diff_with`] function)
+//! describes the difference between two non-`Clone` iterators `I` and `J` after breaking ASAP from
+//! a lock-step comparison.
+
+use std::fmt;
+
+use crate::free::put_back;
+use crate::structs::PutBack;
+
+/// A type returned by the [`diff_with`] function.
+///
+/// `Diff` represents the way in which the elements yielded by the iterator `I` differ to some
+/// iterator `J`.
+pub enum Diff<I, J>
+where
+ I: Iterator,
+ J: Iterator,
+{
+ /// The index of the first non-matching element along with both iterator's remaining elements
+ /// starting with the first mis-match.
+ FirstMismatch(usize, PutBack<I>, PutBack<J>),
+ /// The total number of elements that were in `J` along with the remaining elements of `I`.
+ Shorter(usize, PutBack<I>),
+ /// The total number of elements that were in `I` along with the remaining elements of `J`.
+ Longer(usize, PutBack<J>),
+}
+
+impl<I, J> fmt::Debug for Diff<I, J>
+where
+ I: Iterator,
+ J: Iterator,
+ PutBack<I>: fmt::Debug,
+ PutBack<J>: fmt::Debug,
+{
+ fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+ match self {
+ Self::FirstMismatch(idx, i, j) => f
+ .debug_tuple("FirstMismatch")
+ .field(idx)
+ .field(i)
+ .field(j)
+ .finish(),
+ Self::Shorter(idx, i) => f.debug_tuple("Shorter").field(idx).field(i).finish(),
+ Self::Longer(idx, j) => f.debug_tuple("Longer").field(idx).field(j).finish(),
+ }
+ }
+}
+
+impl<I, J> Clone for Diff<I, J>
+where
+ I: Iterator,
+ J: Iterator,
+ PutBack<I>: Clone,
+ PutBack<J>: Clone,
+{
+ fn clone(&self) -> Self {
+ match self {
+ Self::FirstMismatch(idx, i, j) => Self::FirstMismatch(*idx, i.clone(), j.clone()),
+ Self::Shorter(idx, i) => Self::Shorter(*idx, i.clone()),
+ Self::Longer(idx, j) => Self::Longer(*idx, j.clone()),
+ }
+ }
+}
+
+/// Compares every element yielded by both `i` and `j` with the given function in lock-step and
+/// returns a [`Diff`] which describes how `j` differs from `i`.
+///
+/// If the number of elements yielded by `j` is less than the number of elements yielded by `i`,
+/// the number of `j` elements yielded will be returned along with `i`'s remaining elements as
+/// `Diff::Shorter`.
+///
+/// If the two elements of a step differ, the index of those elements along with the remaining
+/// elements of both `i` and `j` are returned as `Diff::FirstMismatch`.
+///
+/// If `i` becomes exhausted before `j` becomes exhausted, the number of elements in `i` along with
+/// the remaining `j` elements will be returned as `Diff::Longer`.
+pub fn diff_with<I, J, F>(i: I, j: J, mut is_equal: F) -> Option<Diff<I::IntoIter, J::IntoIter>>
+where
+ I: IntoIterator,
+ J: IntoIterator,
+ F: FnMut(&I::Item, &J::Item) -> bool,
+{
+ let mut i = i.into_iter();
+ let mut j = j.into_iter();
+ let mut idx = 0;
+ while let Some(i_elem) = i.next() {
+ match j.next() {
+ None => return Some(Diff::Shorter(idx, put_back(i).with_value(i_elem))),
+ Some(j_elem) => {
+ if !is_equal(&i_elem, &j_elem) {
+ let remaining_i = put_back(i).with_value(i_elem);
+ let remaining_j = put_back(j).with_value(j_elem);
+ return Some(Diff::FirstMismatch(idx, remaining_i, remaining_j));
+ }
+ }
+ }
+ idx += 1;
+ }
+ j.next()
+ .map(|j_elem| Diff::Longer(idx, put_back(j).with_value(j_elem)))
+}
diff --git a/vendor/itertools/src/duplicates_impl.rs b/vendor/itertools/src/duplicates_impl.rs
new file mode 100644
index 00000000..a0db1543
--- /dev/null
+++ b/vendor/itertools/src/duplicates_impl.rs
@@ -0,0 +1,216 @@
+use std::hash::Hash;
+
+mod private {
+ use std::collections::HashMap;
+ use std::fmt;
+ use std::hash::Hash;
+
+ #[derive(Clone)]
+ #[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+ pub struct DuplicatesBy<I: Iterator, Key, F> {
+ pub(crate) iter: I,
+ pub(crate) meta: Meta<Key, F>,
+ }
+
+ impl<I, V, F> fmt::Debug for DuplicatesBy<I, V, F>
+ where
+ I: Iterator + fmt::Debug,
+ V: fmt::Debug + Hash + Eq,
+ {
+ debug_fmt_fields!(DuplicatesBy, iter, meta.used);
+ }
+
+ impl<I: Iterator, Key: Eq + Hash, F> DuplicatesBy<I, Key, F> {
+ pub(crate) fn new(iter: I, key_method: F) -> Self {
+ Self {
+ iter,
+ meta: Meta {
+ used: HashMap::new(),
+ pending: 0,
+ key_method,
+ },
+ }
+ }
+ }
+
+ #[derive(Clone)]
+ pub struct Meta<Key, F> {
+ used: HashMap<Key, bool>,
+ pending: usize,
+ key_method: F,
+ }
+
+ impl<Key, F> Meta<Key, F>
+ where
+ Key: Eq + Hash,
+ {
+ /// Takes an item and returns it back to the caller if it's the second time we see it.
+ /// Otherwise the item is consumed and None is returned
+ #[inline(always)]
+ fn filter<I>(&mut self, item: I) -> Option<I>
+ where
+ F: KeyMethod<Key, I>,
+ {
+ let kv = self.key_method.make(item);
+ match self.used.get_mut(kv.key_ref()) {
+ None => {
+ self.used.insert(kv.key(), false);
+ self.pending += 1;
+ None
+ }
+ Some(true) => None,
+ Some(produced) => {
+ *produced = true;
+ self.pending -= 1;
+ Some(kv.value())
+ }
+ }
+ }
+ }
+
+ impl<I, Key, F> Iterator for DuplicatesBy<I, Key, F>
+ where
+ I: Iterator,
+ Key: Eq + Hash,
+ F: KeyMethod<Key, I::Item>,
+ {
+ type Item = I::Item;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ let Self { iter, meta } = self;
+ iter.find_map(|v| meta.filter(v))
+ }
+
+ #[inline]
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let (_, hi) = self.iter.size_hint();
+ let hi = hi.map(|hi| {
+ if hi <= self.meta.pending {
+ // fewer or equally many iter-remaining elements than pending elements
+ // => at most, each iter-remaining element is matched
+ hi
+ } else {
+ // fewer pending elements than iter-remaining elements
+ // => at most:
+ // * each pending element is matched
+ // * the other iter-remaining elements come in pairs
+ self.meta.pending + (hi - self.meta.pending) / 2
+ }
+ });
+ // The lower bound is always 0 since we might only get unique items from now on
+ (0, hi)
+ }
+ }
+
+ impl<I, Key, F> DoubleEndedIterator for DuplicatesBy<I, Key, F>
+ where
+ I: DoubleEndedIterator,
+ Key: Eq + Hash,
+ F: KeyMethod<Key, I::Item>,
+ {
+ fn next_back(&mut self) -> Option<Self::Item> {
+ let Self { iter, meta } = self;
+ iter.rev().find_map(|v| meta.filter(v))
+ }
+ }
+
+ /// A keying method for use with `DuplicatesBy`
+ pub trait KeyMethod<K, V> {
+ type Container: KeyXorValue<K, V>;
+
+ fn make(&mut self, value: V) -> Self::Container;
+ }
+
+ /// Apply the identity function to elements before checking them for equality.
+ #[derive(Debug, Clone)]
+ pub struct ById;
+ impl<V> KeyMethod<V, V> for ById {
+ type Container = JustValue<V>;
+
+ fn make(&mut self, v: V) -> Self::Container {
+ JustValue(v)
+ }
+ }
+
+ /// Apply a user-supplied function to elements before checking them for equality.
+ #[derive(Clone)]
+ pub struct ByFn<F>(pub(crate) F);
+ impl<F> fmt::Debug for ByFn<F> {
+ debug_fmt_fields!(ByFn,);
+ }
+ impl<K, V, F> KeyMethod<K, V> for ByFn<F>
+ where
+ F: FnMut(&V) -> K,
+ {
+ type Container = KeyValue<K, V>;
+
+ fn make(&mut self, v: V) -> Self::Container {
+ KeyValue((self.0)(&v), v)
+ }
+ }
+
+ // Implementors of this trait can hold onto a key and a value but only give access to one of them
+ // at a time. This allows the key and the value to be the same value internally
+ pub trait KeyXorValue<K, V> {
+ fn key_ref(&self) -> &K;
+ fn key(self) -> K;
+ fn value(self) -> V;
+ }
+
+ #[derive(Debug)]
+ pub struct KeyValue<K, V>(K, V);
+ impl<K, V> KeyXorValue<K, V> for KeyValue<K, V> {
+ fn key_ref(&self) -> &K {
+ &self.0
+ }
+ fn key(self) -> K {
+ self.0
+ }
+ fn value(self) -> V {
+ self.1
+ }
+ }
+
+ #[derive(Debug)]
+ pub struct JustValue<V>(V);
+ impl<V> KeyXorValue<V, V> for JustValue<V> {
+ fn key_ref(&self) -> &V {
+ &self.0
+ }
+ fn key(self) -> V {
+ self.0
+ }
+ fn value(self) -> V {
+ self.0
+ }
+ }
+}
+
+/// An iterator adapter to filter for duplicate elements.
+///
+/// See [`.duplicates_by()`](crate::Itertools::duplicates_by) for more information.
+pub type DuplicatesBy<I, V, F> = private::DuplicatesBy<I, V, private::ByFn<F>>;
+
+/// Create a new `DuplicatesBy` iterator.
+pub fn duplicates_by<I, Key, F>(iter: I, f: F) -> DuplicatesBy<I, Key, F>
+where
+ Key: Eq + Hash,
+ F: FnMut(&I::Item) -> Key,
+ I: Iterator,
+{
+ DuplicatesBy::new(iter, private::ByFn(f))
+}
+
+/// An iterator adapter to filter out duplicate elements.
+///
+/// See [`.duplicates()`](crate::Itertools::duplicates) for more information.
+pub type Duplicates<I> = private::DuplicatesBy<I, <I as Iterator>::Item, private::ById>;
+
+/// Create a new `Duplicates` iterator.
+pub fn duplicates<I>(iter: I) -> Duplicates<I>
+where
+ I: Iterator,
+ I::Item: Eq + Hash,
+{
+ Duplicates::new(iter, private::ById)
+}
diff --git a/vendor/itertools/src/either_or_both.rs b/vendor/itertools/src/either_or_both.rs
new file mode 100644
index 00000000..b7a7fc14
--- /dev/null
+++ b/vendor/itertools/src/either_or_both.rs
@@ -0,0 +1,514 @@
+use core::ops::{Deref, DerefMut};
+
+use crate::EitherOrBoth::*;
+
+use either::Either;
+
+/// Value that either holds a single A or B, or both.
+#[derive(Clone, PartialEq, Eq, Hash, Debug)]
+pub enum EitherOrBoth<A, B = A> {
+ /// Both values are present.
+ Both(A, B),
+ /// Only the left value of type `A` is present.
+ Left(A),
+ /// Only the right value of type `B` is present.
+ Right(B),
+}
+
+impl<A, B> EitherOrBoth<A, B> {
+ /// If `Left`, or `Both`, return true. Otherwise, return false.
+ pub fn has_left(&self) -> bool {
+ self.as_ref().left().is_some()
+ }
+
+ /// If `Right`, or `Both`, return true, otherwise, return false.
+ pub fn has_right(&self) -> bool {
+ self.as_ref().right().is_some()
+ }
+
+ /// If `Left`, return true. Otherwise, return false.
+ /// Exclusive version of [`has_left`](EitherOrBoth::has_left).
+ pub fn is_left(&self) -> bool {
+ matches!(self, Left(_))
+ }
+
+ /// If `Right`, return true. Otherwise, return false.
+ /// Exclusive version of [`has_right`](EitherOrBoth::has_right).
+ pub fn is_right(&self) -> bool {
+ matches!(self, Right(_))
+ }
+
+ /// If `Both`, return true. Otherwise, return false.
+ pub fn is_both(&self) -> bool {
+ self.as_ref().both().is_some()
+ }
+
+ /// If `Left`, or `Both`, return `Some` with the left value. Otherwise, return `None`.
+ pub fn left(self) -> Option<A> {
+ match self {
+ Left(left) | Both(left, _) => Some(left),
+ _ => None,
+ }
+ }
+
+ /// If `Right`, or `Both`, return `Some` with the right value. Otherwise, return `None`.
+ pub fn right(self) -> Option<B> {
+ match self {
+ Right(right) | Both(_, right) => Some(right),
+ _ => None,
+ }
+ }
+
+ /// Return tuple of options corresponding to the left and right value respectively
+ ///
+ /// If `Left` return `(Some(..), None)`, if `Right` return `(None,Some(..))`, else return
+ /// `(Some(..),Some(..))`
+ pub fn left_and_right(self) -> (Option<A>, Option<B>) {
+ self.map_any(Some, Some).or_default()
+ }
+
+ /// If `Left`, return `Some` with the left value. If `Right` or `Both`, return `None`.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// // On the `Left` variant.
+ /// # use itertools::{EitherOrBoth, EitherOrBoth::{Left, Right, Both}};
+ /// let x: EitherOrBoth<_, ()> = Left("bonjour");
+ /// assert_eq!(x.just_left(), Some("bonjour"));
+ ///
+ /// // On the `Right` variant.
+ /// let x: EitherOrBoth<(), _> = Right("hola");
+ /// assert_eq!(x.just_left(), None);
+ ///
+ /// // On the `Both` variant.
+ /// let x = Both("bonjour", "hola");
+ /// assert_eq!(x.just_left(), None);
+ /// ```
+ pub fn just_left(self) -> Option<A> {
+ match self {
+ Left(left) => Some(left),
+ _ => None,
+ }
+ }
+
+ /// If `Right`, return `Some` with the right value. If `Left` or `Both`, return `None`.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// // On the `Left` variant.
+ /// # use itertools::{EitherOrBoth::{Left, Right, Both}, EitherOrBoth};
+ /// let x: EitherOrBoth<_, ()> = Left("auf wiedersehen");
+ /// assert_eq!(x.just_left(), Some("auf wiedersehen"));
+ ///
+ /// // On the `Right` variant.
+ /// let x: EitherOrBoth<(), _> = Right("adios");
+ /// assert_eq!(x.just_left(), None);
+ ///
+ /// // On the `Both` variant.
+ /// let x = Both("auf wiedersehen", "adios");
+ /// assert_eq!(x.just_left(), None);
+ /// ```
+ pub fn just_right(self) -> Option<B> {
+ match self {
+ Right(right) => Some(right),
+ _ => None,
+ }
+ }
+
+ /// If `Both`, return `Some` containing the left and right values. Otherwise, return `None`.
+ pub fn both(self) -> Option<(A, B)> {
+ match self {
+ Both(a, b) => Some((a, b)),
+ _ => None,
+ }
+ }
+
+ /// If `Left` or `Both`, return the left value. Otherwise, convert the right value and return it.
+ pub fn into_left(self) -> A
+ where
+ B: Into<A>,
+ {
+ match self {
+ Left(a) | Both(a, _) => a,
+ Right(b) => b.into(),
+ }
+ }
+
+ /// If `Right` or `Both`, return the right value. Otherwise, convert the left value and return it.
+ pub fn into_right(self) -> B
+ where
+ A: Into<B>,
+ {
+ match self {
+ Right(b) | Both(_, b) => b,
+ Left(a) => a.into(),
+ }
+ }
+
+ /// Converts from `&EitherOrBoth<A, B>` to `EitherOrBoth<&A, &B>`.
+ pub fn as_ref(&self) -> EitherOrBoth<&A, &B> {
+ match *self {
+ Left(ref left) => Left(left),
+ Right(ref right) => Right(right),
+ Both(ref left, ref right) => Both(left, right),
+ }
+ }
+
+ /// Converts from `&mut EitherOrBoth<A, B>` to `EitherOrBoth<&mut A, &mut B>`.
+ pub fn as_mut(&mut self) -> EitherOrBoth<&mut A, &mut B> {
+ match *self {
+ Left(ref mut left) => Left(left),
+ Right(ref mut right) => Right(right),
+ Both(ref mut left, ref mut right) => Both(left, right),
+ }
+ }
+
+ /// Converts from `&EitherOrBoth<A, B>` to `EitherOrBoth<&_, &_>` using the [`Deref`] trait.
+ pub fn as_deref(&self) -> EitherOrBoth<&A::Target, &B::Target>
+ where
+ A: Deref,
+ B: Deref,
+ {
+ match *self {
+ Left(ref left) => Left(left),
+ Right(ref right) => Right(right),
+ Both(ref left, ref right) => Both(left, right),
+ }
+ }
+
+ /// Converts from `&mut EitherOrBoth<A, B>` to `EitherOrBoth<&mut _, &mut _>` using the [`DerefMut`] trait.
+ pub fn as_deref_mut(&mut self) -> EitherOrBoth<&mut A::Target, &mut B::Target>
+ where
+ A: DerefMut,
+ B: DerefMut,
+ {
+ match *self {
+ Left(ref mut left) => Left(left),
+ Right(ref mut right) => Right(right),
+ Both(ref mut left, ref mut right) => Both(left, right),
+ }
+ }
+
+ /// Convert `EitherOrBoth<A, B>` to `EitherOrBoth<B, A>`.
+ pub fn flip(self) -> EitherOrBoth<B, A> {
+ match self {
+ Left(a) => Right(a),
+ Right(b) => Left(b),
+ Both(a, b) => Both(b, a),
+ }
+ }
+
+ /// Apply the function `f` on the value `a` in `Left(a)` or `Both(a, b)` variants. If it is
+ /// present rewrapping the result in `self`'s original variant.
+ pub fn map_left<F, M>(self, f: F) -> EitherOrBoth<M, B>
+ where
+ F: FnOnce(A) -> M,
+ {
+ match self {
+ Both(a, b) => Both(f(a), b),
+ Left(a) => Left(f(a)),
+ Right(b) => Right(b),
+ }
+ }
+
+ /// Apply the function `f` on the value `b` in `Right(b)` or `Both(a, b)` variants.
+ /// If it is present rewrapping the result in `self`'s original variant.
+ pub fn map_right<F, M>(self, f: F) -> EitherOrBoth<A, M>
+ where
+ F: FnOnce(B) -> M,
+ {
+ match self {
+ Left(a) => Left(a),
+ Right(b) => Right(f(b)),
+ Both(a, b) => Both(a, f(b)),
+ }
+ }
+
+ /// Apply the functions `f` and `g` on the value `a` and `b` respectively;
+ /// found in `Left(a)`, `Right(b)`, or `Both(a, b)` variants.
+ /// The Result is rewrapped `self`'s original variant.
+ pub fn map_any<F, L, G, R>(self, f: F, g: G) -> EitherOrBoth<L, R>
+ where
+ F: FnOnce(A) -> L,
+ G: FnOnce(B) -> R,
+ {
+ match self {
+ Left(a) => Left(f(a)),
+ Right(b) => Right(g(b)),
+ Both(a, b) => Both(f(a), g(b)),
+ }
+ }
+
+ /// Apply the function `f` on the value `a` in `Left(a)` or `Both(a, _)` variants if it is
+ /// present.
+ pub fn left_and_then<F, L>(self, f: F) -> EitherOrBoth<L, B>
+ where
+ F: FnOnce(A) -> EitherOrBoth<L, B>,
+ {
+ match self {
+ Left(a) | Both(a, _) => f(a),
+ Right(b) => Right(b),
+ }
+ }
+
+ /// Apply the function `f` on the value `b`
+ /// in `Right(b)` or `Both(_, b)` variants if it is present.
+ pub fn right_and_then<F, R>(self, f: F) -> EitherOrBoth<A, R>
+ where
+ F: FnOnce(B) -> EitherOrBoth<A, R>,
+ {
+ match self {
+ Left(a) => Left(a),
+ Right(b) | Both(_, b) => f(b),
+ }
+ }
+
+ /// Returns a tuple consisting of the `l` and `r` in `Both(l, r)`, if present.
+ /// Otherwise, returns the wrapped value for the present element, and the supplied
+ /// value for the other. The first (`l`) argument is used for a missing `Left`
+ /// value. The second (`r`) argument is used for a missing `Right` value.
+ ///
+ /// Arguments passed to `or` are eagerly evaluated; if you are passing
+ /// the result of a function call, it is recommended to use [`or_else`],
+ /// which is lazily evaluated.
+ ///
+ /// [`or_else`]: EitherOrBoth::or_else
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// # use itertools::EitherOrBoth;
+ /// assert_eq!(EitherOrBoth::Both("tree", 1).or("stone", 5), ("tree", 1));
+ /// assert_eq!(EitherOrBoth::Left("tree").or("stone", 5), ("tree", 5));
+ /// assert_eq!(EitherOrBoth::Right(1).or("stone", 5), ("stone", 1));
+ /// ```
+ pub fn or(self, l: A, r: B) -> (A, B) {
+ match self {
+ Left(inner_l) => (inner_l, r),
+ Right(inner_r) => (l, inner_r),
+ Both(inner_l, inner_r) => (inner_l, inner_r),
+ }
+ }
+
+ /// Returns a tuple consisting of the `l` and `r` in `Both(l, r)`, if present.
+ /// Otherwise, returns the wrapped value for the present element, and the [`default`](Default::default)
+ /// for the other.
+ pub fn or_default(self) -> (A, B)
+ where
+ A: Default,
+ B: Default,
+ {
+ match self {
+ Left(l) => (l, B::default()),
+ Right(r) => (A::default(), r),
+ Both(l, r) => (l, r),
+ }
+ }
+
+ /// Returns a tuple consisting of the `l` and `r` in `Both(l, r)`, if present.
+ /// Otherwise, returns the wrapped value for the present element, and computes the
+ /// missing value with the supplied closure. The first argument (`l`) is used for a
+ /// missing `Left` value. The second argument (`r`) is used for a missing `Right` value.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// # use itertools::EitherOrBoth;
+ /// let k = 10;
+ /// assert_eq!(EitherOrBoth::Both("tree", 1).or_else(|| "stone", || 2 * k), ("tree", 1));
+ /// assert_eq!(EitherOrBoth::Left("tree").or_else(|| "stone", || 2 * k), ("tree", 20));
+ /// assert_eq!(EitherOrBoth::Right(1).or_else(|| "stone", || 2 * k), ("stone", 1));
+ /// ```
+ pub fn or_else<L: FnOnce() -> A, R: FnOnce() -> B>(self, l: L, r: R) -> (A, B) {
+ match self {
+ Left(inner_l) => (inner_l, r()),
+ Right(inner_r) => (l(), inner_r),
+ Both(inner_l, inner_r) => (inner_l, inner_r),
+ }
+ }
+
+ /// Returns a mutable reference to the left value. If the left value is not present,
+ /// it is replaced with `val`.
+ pub fn left_or_insert(&mut self, val: A) -> &mut A {
+ self.left_or_insert_with(|| val)
+ }
+
+ /// Returns a mutable reference to the right value. If the right value is not present,
+ /// it is replaced with `val`.
+ pub fn right_or_insert(&mut self, val: B) -> &mut B {
+ self.right_or_insert_with(|| val)
+ }
+
+ /// If the left value is not present, replace it the value computed by the closure `f`.
+ /// Returns a mutable reference to the now-present left value.
+ pub fn left_or_insert_with<F>(&mut self, f: F) -> &mut A
+ where
+ F: FnOnce() -> A,
+ {
+ match self {
+ Left(left) | Both(left, _) => left,
+ Right(_) => self.insert_left(f()),
+ }
+ }
+
+ /// If the right value is not present, replace it the value computed by the closure `f`.
+ /// Returns a mutable reference to the now-present right value.
+ pub fn right_or_insert_with<F>(&mut self, f: F) -> &mut B
+ where
+ F: FnOnce() -> B,
+ {
+ match self {
+ Right(right) | Both(_, right) => right,
+ Left(_) => self.insert_right(f()),
+ }
+ }
+
+ /// Sets the `left` value of this instance, and returns a mutable reference to it.
+ /// Does not affect the `right` value.
+ ///
+ /// # Examples
+ /// ```
+ /// # use itertools::{EitherOrBoth, EitherOrBoth::{Left, Right, Both}};
+ ///
+ /// // Overwriting a pre-existing value.
+ /// let mut either: EitherOrBoth<_, ()> = Left(0_u32);
+ /// assert_eq!(*either.insert_left(69), 69);
+ ///
+ /// // Inserting a second value.
+ /// let mut either = Right("no");
+ /// assert_eq!(*either.insert_left("yes"), "yes");
+ /// assert_eq!(either, Both("yes", "no"));
+ /// ```
+ pub fn insert_left(&mut self, val: A) -> &mut A {
+ match self {
+ Left(left) | Both(left, _) => {
+ *left = val;
+ left
+ }
+ Right(right) => {
+ // This is like a map in place operation. We move out of the reference,
+ // change the value, and then move back into the reference.
+ unsafe {
+ // SAFETY: We know this pointer is valid for reading since we got it from a reference.
+ let right = std::ptr::read(right as *mut _);
+ // SAFETY: Again, we know the pointer is valid since we got it from a reference.
+ std::ptr::write(self as *mut _, Both(val, right));
+ }
+
+ if let Both(left, _) = self {
+ left
+ } else {
+ // SAFETY: The above pattern will always match, since we just
+ // set `self` equal to `Both`.
+ unsafe { std::hint::unreachable_unchecked() }
+ }
+ }
+ }
+ }
+
+ /// Sets the `right` value of this instance, and returns a mutable reference to it.
+ /// Does not affect the `left` value.
+ ///
+ /// # Examples
+ /// ```
+ /// # use itertools::{EitherOrBoth, EitherOrBoth::{Left, Both}};
+ /// // Overwriting a pre-existing value.
+ /// let mut either: EitherOrBoth<_, ()> = Left(0_u32);
+ /// assert_eq!(*either.insert_left(69), 69);
+ ///
+ /// // Inserting a second value.
+ /// let mut either = Left("what's");
+ /// assert_eq!(*either.insert_right(9 + 10), 21 - 2);
+ /// assert_eq!(either, Both("what's", 9+10));
+ /// ```
+ pub fn insert_right(&mut self, val: B) -> &mut B {
+ match self {
+ Right(right) | Both(_, right) => {
+ *right = val;
+ right
+ }
+ Left(left) => {
+ // This is like a map in place operation. We move out of the reference,
+ // change the value, and then move back into the reference.
+ unsafe {
+ // SAFETY: We know this pointer is valid for reading since we got it from a reference.
+ let left = std::ptr::read(left as *mut _);
+ // SAFETY: Again, we know the pointer is valid since we got it from a reference.
+ std::ptr::write(self as *mut _, Both(left, val));
+ }
+ if let Both(_, right) = self {
+ right
+ } else {
+ // SAFETY: The above pattern will always match, since we just
+ // set `self` equal to `Both`.
+ unsafe { std::hint::unreachable_unchecked() }
+ }
+ }
+ }
+ }
+
+ /// Set `self` to `Both(..)`, containing the specified left and right values,
+ /// and returns a mutable reference to those values.
+ pub fn insert_both(&mut self, left: A, right: B) -> (&mut A, &mut B) {
+ *self = Both(left, right);
+ if let Both(left, right) = self {
+ (left, right)
+ } else {
+ // SAFETY: The above pattern will always match, since we just
+ // set `self` equal to `Both`.
+ unsafe { std::hint::unreachable_unchecked() }
+ }
+ }
+}
+
+impl<T> EitherOrBoth<T, T> {
+ /// Return either value of left, right, or apply a function `f` to both values if both are present.
+ /// The input function has to return the same type as both Right and Left carry.
+ ///
+ /// This function can be used to preferrably extract the left resp. right value,
+ /// but fall back to the other (i.e. right resp. left) if the preferred one is not present.
+ ///
+ /// # Examples
+ /// ```
+ /// # use itertools::EitherOrBoth;
+ /// assert_eq!(EitherOrBoth::Both(3, 7).reduce(u32::max), 7);
+ /// assert_eq!(EitherOrBoth::Left(3).reduce(u32::max), 3);
+ /// assert_eq!(EitherOrBoth::Right(7).reduce(u32::max), 7);
+ ///
+ /// // Extract the left value if present, fall back to the right otherwise.
+ /// assert_eq!(EitherOrBoth::Left("left").reduce(|l, _r| l), "left");
+ /// assert_eq!(EitherOrBoth::Right("right").reduce(|l, _r| l), "right");
+ /// assert_eq!(EitherOrBoth::Both("left", "right").reduce(|l, _r| l), "left");
+ /// ```
+ pub fn reduce<F>(self, f: F) -> T
+ where
+ F: FnOnce(T, T) -> T,
+ {
+ match self {
+ Left(a) => a,
+ Right(b) => b,
+ Both(a, b) => f(a, b),
+ }
+ }
+}
+
+impl<A, B> From<EitherOrBoth<A, B>> for Option<Either<A, B>> {
+ fn from(value: EitherOrBoth<A, B>) -> Self {
+ match value {
+ Left(l) => Some(Either::Left(l)),
+ Right(r) => Some(Either::Right(r)),
+ Both(..) => None,
+ }
+ }
+}
+
+impl<A, B> From<Either<A, B>> for EitherOrBoth<A, B> {
+ fn from(either: Either<A, B>) -> Self {
+ match either {
+ Either::Left(l) => Left(l),
+ Either::Right(l) => Right(l),
+ }
+ }
+}
diff --git a/vendor/itertools/src/exactly_one_err.rs b/vendor/itertools/src/exactly_one_err.rs
new file mode 100644
index 00000000..19b9e191
--- /dev/null
+++ b/vendor/itertools/src/exactly_one_err.rs
@@ -0,0 +1,125 @@
+#[cfg(feature = "use_std")]
+use std::error::Error;
+use std::fmt::{Debug, Display, Formatter, Result as FmtResult};
+
+use std::iter::ExactSizeIterator;
+
+use either::Either;
+
+use crate::size_hint;
+
+/// Iterator returned for the error case of `Itertools::exactly_one()`
+/// This iterator yields exactly the same elements as the input iterator.
+///
+/// During the execution of `exactly_one` the iterator must be mutated. This wrapper
+/// effectively "restores" the state of the input iterator when it's handed back.
+///
+/// This is very similar to `PutBackN` except this iterator only supports 0-2 elements and does not
+/// use a `Vec`.
+#[derive(Clone)]
+pub struct ExactlyOneError<I>
+where
+ I: Iterator,
+{
+ first_two: Option<Either<[I::Item; 2], I::Item>>,
+ inner: I,
+}
+
+impl<I> ExactlyOneError<I>
+where
+ I: Iterator,
+{
+ /// Creates a new `ExactlyOneErr` iterator.
+ pub(crate) fn new(first_two: Option<Either<[I::Item; 2], I::Item>>, inner: I) -> Self {
+ Self { first_two, inner }
+ }
+
+ fn additional_len(&self) -> usize {
+ match self.first_two {
+ Some(Either::Left(_)) => 2,
+ Some(Either::Right(_)) => 1,
+ None => 0,
+ }
+ }
+}
+
+impl<I> Iterator for ExactlyOneError<I>
+where
+ I: Iterator,
+{
+ type Item = I::Item;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ match self.first_two.take() {
+ Some(Either::Left([first, second])) => {
+ self.first_two = Some(Either::Right(second));
+ Some(first)
+ }
+ Some(Either::Right(second)) => Some(second),
+ None => self.inner.next(),
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ size_hint::add_scalar(self.inner.size_hint(), self.additional_len())
+ }
+
+ fn fold<B, F>(self, mut init: B, mut f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ match self.first_two {
+ Some(Either::Left([first, second])) => {
+ init = f(init, first);
+ init = f(init, second);
+ }
+ Some(Either::Right(second)) => init = f(init, second),
+ None => {}
+ }
+ self.inner.fold(init, f)
+ }
+}
+
+impl<I> ExactSizeIterator for ExactlyOneError<I> where I: ExactSizeIterator {}
+
+impl<I> Display for ExactlyOneError<I>
+where
+ I: Iterator,
+{
+ fn fmt(&self, f: &mut Formatter) -> FmtResult {
+ let additional = self.additional_len();
+ if additional > 0 {
+ write!(f, "got at least 2 elements when exactly one was expected")
+ } else {
+ write!(f, "got zero elements when exactly one was expected")
+ }
+ }
+}
+
+impl<I> Debug for ExactlyOneError<I>
+where
+ I: Iterator + Debug,
+ I::Item: Debug,
+{
+ fn fmt(&self, f: &mut Formatter) -> FmtResult {
+ let mut dbg = f.debug_struct("ExactlyOneError");
+ match &self.first_two {
+ Some(Either::Left([first, second])) => {
+ dbg.field("first", first).field("second", second);
+ }
+ Some(Either::Right(second)) => {
+ dbg.field("second", second);
+ }
+ None => {}
+ }
+ dbg.field("inner", &self.inner).finish()
+ }
+}
+
+#[cfg(feature = "use_std")]
+impl<I> Error for ExactlyOneError<I>
+where
+ I: Iterator + Debug,
+ I::Item: Debug,
+{
+}
diff --git a/vendor/itertools/src/extrema_set.rs b/vendor/itertools/src/extrema_set.rs
new file mode 100644
index 00000000..7d353821
--- /dev/null
+++ b/vendor/itertools/src/extrema_set.rs
@@ -0,0 +1,49 @@
+use alloc::{vec, vec::Vec};
+use std::cmp::Ordering;
+
+/// Implementation guts for `min_set`, `min_set_by`, and `min_set_by_key`.
+pub fn min_set_impl<I, K, F, Compare>(
+ mut it: I,
+ mut key_for: F,
+ mut compare: Compare,
+) -> Vec<I::Item>
+where
+ I: Iterator,
+ F: FnMut(&I::Item) -> K,
+ Compare: FnMut(&I::Item, &I::Item, &K, &K) -> Ordering,
+{
+ match it.next() {
+ None => Vec::new(),
+ Some(element) => {
+ let mut current_key = key_for(&element);
+ let mut result = vec![element];
+ it.for_each(|element| {
+ let key = key_for(&element);
+ match compare(&element, &result[0], &key, &current_key) {
+ Ordering::Less => {
+ result.clear();
+ result.push(element);
+ current_key = key;
+ }
+ Ordering::Equal => {
+ result.push(element);
+ }
+ Ordering::Greater => {}
+ }
+ });
+ result
+ }
+ }
+}
+
+/// Implementation guts for `ax_set`, `max_set_by`, and `max_set_by_key`.
+pub fn max_set_impl<I, K, F, Compare>(it: I, key_for: F, mut compare: Compare) -> Vec<I::Item>
+where
+ I: Iterator,
+ F: FnMut(&I::Item) -> K,
+ Compare: FnMut(&I::Item, &I::Item, &K, &K) -> Ordering,
+{
+ min_set_impl(it, key_for, |it1, it2, key1, key2| {
+ compare(it2, it1, key2, key1)
+ })
+}
diff --git a/vendor/itertools/src/flatten_ok.rs b/vendor/itertools/src/flatten_ok.rs
new file mode 100644
index 00000000..48f1e90a
--- /dev/null
+++ b/vendor/itertools/src/flatten_ok.rs
@@ -0,0 +1,205 @@
+use crate::size_hint;
+use std::{
+ fmt,
+ iter::{DoubleEndedIterator, FusedIterator},
+};
+
+pub fn flatten_ok<I, T, E>(iter: I) -> FlattenOk<I, T, E>
+where
+ I: Iterator<Item = Result<T, E>>,
+ T: IntoIterator,
+{
+ FlattenOk {
+ iter,
+ inner_front: None,
+ inner_back: None,
+ }
+}
+
+/// An iterator adaptor that flattens `Result::Ok` values and
+/// allows `Result::Err` values through unchanged.
+///
+/// See [`.flatten_ok()`](crate::Itertools::flatten_ok) for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct FlattenOk<I, T, E>
+where
+ I: Iterator<Item = Result<T, E>>,
+ T: IntoIterator,
+{
+ iter: I,
+ inner_front: Option<T::IntoIter>,
+ inner_back: Option<T::IntoIter>,
+}
+
+impl<I, T, E> Iterator for FlattenOk<I, T, E>
+where
+ I: Iterator<Item = Result<T, E>>,
+ T: IntoIterator,
+{
+ type Item = Result<T::Item, E>;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ loop {
+ // Handle the front inner iterator.
+ if let Some(inner) = &mut self.inner_front {
+ if let Some(item) = inner.next() {
+ return Some(Ok(item));
+ }
+
+ // This is necessary for the iterator to implement `FusedIterator`
+ // with only the original iterator being fused.
+ self.inner_front = None;
+ }
+
+ match self.iter.next() {
+ Some(Ok(ok)) => self.inner_front = Some(ok.into_iter()),
+ Some(Err(e)) => return Some(Err(e)),
+ None => {
+ // Handle the back inner iterator.
+ if let Some(inner) = &mut self.inner_back {
+ if let Some(item) = inner.next() {
+ return Some(Ok(item));
+ }
+
+ // This is necessary for the iterator to implement `FusedIterator`
+ // with only the original iterator being fused.
+ self.inner_back = None;
+ } else {
+ return None;
+ }
+ }
+ }
+ }
+ }
+
+ fn fold<B, F>(self, init: B, mut f: F) -> B
+ where
+ Self: Sized,
+ F: FnMut(B, Self::Item) -> B,
+ {
+ // Front
+ let mut acc = match self.inner_front {
+ Some(x) => x.fold(init, |a, o| f(a, Ok(o))),
+ None => init,
+ };
+
+ acc = self.iter.fold(acc, |acc, x| match x {
+ Ok(it) => it.into_iter().fold(acc, |a, o| f(a, Ok(o))),
+ Err(e) => f(acc, Err(e)),
+ });
+
+ // Back
+ match self.inner_back {
+ Some(x) => x.fold(acc, |a, o| f(a, Ok(o))),
+ None => acc,
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let inner_hint = |inner: &Option<T::IntoIter>| {
+ inner
+ .as_ref()
+ .map(Iterator::size_hint)
+ .unwrap_or((0, Some(0)))
+ };
+ let inner_front = inner_hint(&self.inner_front);
+ let inner_back = inner_hint(&self.inner_back);
+ // The outer iterator `Ok` case could be (0, None) as we don't know its size_hint yet.
+ let outer = match self.iter.size_hint() {
+ (0, Some(0)) => (0, Some(0)),
+ _ => (0, None),
+ };
+
+ size_hint::add(size_hint::add(inner_front, inner_back), outer)
+ }
+}
+
+impl<I, T, E> DoubleEndedIterator for FlattenOk<I, T, E>
+where
+ I: DoubleEndedIterator<Item = Result<T, E>>,
+ T: IntoIterator,
+ T::IntoIter: DoubleEndedIterator,
+{
+ fn next_back(&mut self) -> Option<Self::Item> {
+ loop {
+ // Handle the back inner iterator.
+ if let Some(inner) = &mut self.inner_back {
+ if let Some(item) = inner.next_back() {
+ return Some(Ok(item));
+ }
+
+ // This is necessary for the iterator to implement `FusedIterator`
+ // with only the original iterator being fused.
+ self.inner_back = None;
+ }
+
+ match self.iter.next_back() {
+ Some(Ok(ok)) => self.inner_back = Some(ok.into_iter()),
+ Some(Err(e)) => return Some(Err(e)),
+ None => {
+ // Handle the front inner iterator.
+ if let Some(inner) = &mut self.inner_front {
+ if let Some(item) = inner.next_back() {
+ return Some(Ok(item));
+ }
+
+ // This is necessary for the iterator to implement `FusedIterator`
+ // with only the original iterator being fused.
+ self.inner_front = None;
+ } else {
+ return None;
+ }
+ }
+ }
+ }
+ }
+
+ fn rfold<B, F>(self, init: B, mut f: F) -> B
+ where
+ Self: Sized,
+ F: FnMut(B, Self::Item) -> B,
+ {
+ // Back
+ let mut acc = match self.inner_back {
+ Some(x) => x.rfold(init, |a, o| f(a, Ok(o))),
+ None => init,
+ };
+
+ acc = self.iter.rfold(acc, |acc, x| match x {
+ Ok(it) => it.into_iter().rfold(acc, |a, o| f(a, Ok(o))),
+ Err(e) => f(acc, Err(e)),
+ });
+
+ // Front
+ match self.inner_front {
+ Some(x) => x.rfold(acc, |a, o| f(a, Ok(o))),
+ None => acc,
+ }
+ }
+}
+
+impl<I, T, E> Clone for FlattenOk<I, T, E>
+where
+ I: Iterator<Item = Result<T, E>> + Clone,
+ T: IntoIterator,
+ T::IntoIter: Clone,
+{
+ clone_fields!(iter, inner_front, inner_back);
+}
+
+impl<I, T, E> fmt::Debug for FlattenOk<I, T, E>
+where
+ I: Iterator<Item = Result<T, E>> + fmt::Debug,
+ T: IntoIterator,
+ T::IntoIter: fmt::Debug,
+{
+ debug_fmt_fields!(FlattenOk, iter, inner_front, inner_back);
+}
+
+/// Only the iterator being flattened needs to implement [`FusedIterator`].
+impl<I, T, E> FusedIterator for FlattenOk<I, T, E>
+where
+ I: FusedIterator<Item = Result<T, E>>,
+ T: IntoIterator,
+{
+}
diff --git a/vendor/itertools/src/format.rs b/vendor/itertools/src/format.rs
new file mode 100644
index 00000000..3abdda36
--- /dev/null
+++ b/vendor/itertools/src/format.rs
@@ -0,0 +1,178 @@
+use std::cell::Cell;
+use std::fmt;
+
+/// Format all iterator elements lazily, separated by `sep`.
+///
+/// The format value can only be formatted once, after that the iterator is
+/// exhausted.
+///
+/// See [`.format_with()`](crate::Itertools::format_with) for more information.
+pub struct FormatWith<'a, I, F> {
+ sep: &'a str,
+ /// `FormatWith` uses interior mutability because `Display::fmt` takes `&self`.
+ inner: Cell<Option<(I, F)>>,
+}
+
+/// Format all iterator elements lazily, separated by `sep`.
+///
+/// The format value can only be formatted once, after that the iterator is
+/// exhausted.
+///
+/// See [`.format()`](crate::Itertools::format)
+/// for more information.
+pub struct Format<'a, I> {
+ sep: &'a str,
+ /// `Format` uses interior mutability because `Display::fmt` takes `&self`.
+ inner: Cell<Option<I>>,
+}
+
+pub fn new_format<I, F>(iter: I, separator: &str, f: F) -> FormatWith<'_, I, F>
+where
+ I: Iterator,
+ F: FnMut(I::Item, &mut dyn FnMut(&dyn fmt::Display) -> fmt::Result) -> fmt::Result,
+{
+ FormatWith {
+ sep: separator,
+ inner: Cell::new(Some((iter, f))),
+ }
+}
+
+pub fn new_format_default<I>(iter: I, separator: &str) -> Format<'_, I>
+where
+ I: Iterator,
+{
+ Format {
+ sep: separator,
+ inner: Cell::new(Some(iter)),
+ }
+}
+
+impl<I, F> fmt::Display for FormatWith<'_, I, F>
+where
+ I: Iterator,
+ F: FnMut(I::Item, &mut dyn FnMut(&dyn fmt::Display) -> fmt::Result) -> fmt::Result,
+{
+ fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
+ let (mut iter, mut format) = match self.inner.take() {
+ Some(t) => t,
+ None => panic!("FormatWith: was already formatted once"),
+ };
+
+ if let Some(fst) = iter.next() {
+ format(fst, &mut |disp: &dyn fmt::Display| disp.fmt(f))?;
+ iter.try_for_each(|elt| {
+ if !self.sep.is_empty() {
+ f.write_str(self.sep)?;
+ }
+ format(elt, &mut |disp: &dyn fmt::Display| disp.fmt(f))
+ })?;
+ }
+ Ok(())
+ }
+}
+
+impl<I, F> fmt::Debug for FormatWith<'_, I, F>
+where
+ I: Iterator,
+ F: FnMut(I::Item, &mut dyn FnMut(&dyn fmt::Display) -> fmt::Result) -> fmt::Result,
+{
+ fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+ fmt::Display::fmt(self, f)
+ }
+}
+
+impl<I> Format<'_, I>
+where
+ I: Iterator,
+{
+ fn format(
+ &self,
+ f: &mut fmt::Formatter,
+ cb: fn(&I::Item, &mut fmt::Formatter) -> fmt::Result,
+ ) -> fmt::Result {
+ let mut iter = match self.inner.take() {
+ Some(t) => t,
+ None => panic!("Format: was already formatted once"),
+ };
+
+ if let Some(fst) = iter.next() {
+ cb(&fst, f)?;
+ iter.try_for_each(|elt| {
+ if !self.sep.is_empty() {
+ f.write_str(self.sep)?;
+ }
+ cb(&elt, f)
+ })?;
+ }
+ Ok(())
+ }
+}
+
+macro_rules! impl_format {
+ ($($fmt_trait:ident)*) => {
+ $(
+ impl<'a, I> fmt::$fmt_trait for Format<'a, I>
+ where I: Iterator,
+ I::Item: fmt::$fmt_trait,
+ {
+ fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
+ self.format(f, fmt::$fmt_trait::fmt)
+ }
+ }
+ )*
+ }
+}
+
+impl_format! {Display Debug UpperExp LowerExp UpperHex LowerHex Octal Binary Pointer}
+
+impl<I, F> Clone for FormatWith<'_, I, F>
+where
+ (I, F): Clone,
+{
+ fn clone(&self) -> Self {
+ struct PutBackOnDrop<'r, 'a, I, F> {
+ into: &'r FormatWith<'a, I, F>,
+ inner: Option<(I, F)>,
+ }
+ // This ensures we preserve the state of the original `FormatWith` if `Clone` panics
+ impl<I, F> Drop for PutBackOnDrop<'_, '_, I, F> {
+ fn drop(&mut self) {
+ self.into.inner.set(self.inner.take())
+ }
+ }
+ let pbod = PutBackOnDrop {
+ inner: self.inner.take(),
+ into: self,
+ };
+ Self {
+ inner: Cell::new(pbod.inner.clone()),
+ sep: self.sep,
+ }
+ }
+}
+
+impl<I> Clone for Format<'_, I>
+where
+ I: Clone,
+{
+ fn clone(&self) -> Self {
+ struct PutBackOnDrop<'r, 'a, I> {
+ into: &'r Format<'a, I>,
+ inner: Option<I>,
+ }
+ // This ensures we preserve the state of the original `FormatWith` if `Clone` panics
+ impl<I> Drop for PutBackOnDrop<'_, '_, I> {
+ fn drop(&mut self) {
+ self.into.inner.set(self.inner.take())
+ }
+ }
+ let pbod = PutBackOnDrop {
+ inner: self.inner.take(),
+ into: self,
+ };
+ Self {
+ inner: Cell::new(pbod.inner.clone()),
+ sep: self.sep,
+ }
+ }
+}
diff --git a/vendor/itertools/src/free.rs b/vendor/itertools/src/free.rs
new file mode 100644
index 00000000..4c682054
--- /dev/null
+++ b/vendor/itertools/src/free.rs
@@ -0,0 +1,319 @@
+//! Free functions that create iterator adaptors or call iterator methods.
+//!
+//! The benefit of free functions is that they accept any [`IntoIterator`] as
+//! argument, so the resulting code may be easier to read.
+
+#[cfg(feature = "use_alloc")]
+use std::fmt::Display;
+use std::iter::{self, Zip};
+#[cfg(feature = "use_alloc")]
+type VecIntoIter<T> = alloc::vec::IntoIter<T>;
+
+#[cfg(feature = "use_alloc")]
+use alloc::string::String;
+
+use crate::intersperse::{Intersperse, IntersperseWith};
+use crate::Itertools;
+
+pub use crate::adaptors::{interleave, put_back};
+#[cfg(feature = "use_alloc")]
+pub use crate::kmerge_impl::kmerge;
+pub use crate::merge_join::{merge, merge_join_by};
+#[cfg(feature = "use_alloc")]
+pub use crate::multipeek_impl::multipeek;
+#[cfg(feature = "use_alloc")]
+pub use crate::peek_nth::peek_nth;
+#[cfg(feature = "use_alloc")]
+pub use crate::put_back_n_impl::put_back_n;
+#[cfg(feature = "use_alloc")]
+pub use crate::rciter_impl::rciter;
+pub use crate::zip_eq_impl::zip_eq;
+
+/// Iterate `iterable` with a particular value inserted between each element.
+///
+/// [`IntoIterator`] enabled version of [`Iterator::intersperse`].
+///
+/// ```
+/// use itertools::intersperse;
+///
+/// itertools::assert_equal(intersperse(0..3, 8), vec![0, 8, 1, 8, 2]);
+/// ```
+pub fn intersperse<I>(iterable: I, element: I::Item) -> Intersperse<I::IntoIter>
+where
+ I: IntoIterator,
+ <I as IntoIterator>::Item: Clone,
+{
+ Itertools::intersperse(iterable.into_iter(), element)
+}
+
+/// Iterate `iterable` with a particular value created by a function inserted
+/// between each element.
+///
+/// [`IntoIterator`] enabled version of [`Iterator::intersperse_with`].
+///
+/// ```
+/// use itertools::intersperse_with;
+///
+/// let mut i = 10;
+/// itertools::assert_equal(intersperse_with(0..3, || { i -= 1; i }), vec![0, 9, 1, 8, 2]);
+/// assert_eq!(i, 8);
+/// ```
+pub fn intersperse_with<I, F>(iterable: I, element: F) -> IntersperseWith<I::IntoIter, F>
+where
+ I: IntoIterator,
+ F: FnMut() -> I::Item,
+{
+ Itertools::intersperse_with(iterable.into_iter(), element)
+}
+
+/// Iterate `iterable` with a running index.
+///
+/// [`IntoIterator`] enabled version of [`Iterator::enumerate`].
+///
+/// ```
+/// use itertools::enumerate;
+///
+/// for (i, elt) in enumerate(&[1, 2, 3]) {
+/// /* loop body */
+/// # let _ = (i, elt);
+/// }
+/// ```
+pub fn enumerate<I>(iterable: I) -> iter::Enumerate<I::IntoIter>
+where
+ I: IntoIterator,
+{
+ iterable.into_iter().enumerate()
+}
+
+/// Iterate `iterable` in reverse.
+///
+/// [`IntoIterator`] enabled version of [`Iterator::rev`].
+///
+/// ```
+/// use itertools::rev;
+///
+/// for elt in rev(&[1, 2, 3]) {
+/// /* loop body */
+/// # let _ = elt;
+/// }
+/// ```
+pub fn rev<I>(iterable: I) -> iter::Rev<I::IntoIter>
+where
+ I: IntoIterator,
+ I::IntoIter: DoubleEndedIterator,
+{
+ iterable.into_iter().rev()
+}
+
+/// Converts the arguments to iterators and zips them.
+///
+/// [`IntoIterator`] enabled version of [`Iterator::zip`].
+///
+/// ## Example
+///
+/// ```
+/// use itertools::zip;
+///
+/// let mut result: Vec<(i32, char)> = Vec::new();
+///
+/// for (a, b) in zip(&[1, 2, 3, 4, 5], &['a', 'b', 'c']) {
+/// result.push((*a, *b));
+/// }
+/// assert_eq!(result, vec![(1, 'a'),(2, 'b'),(3, 'c')]);
+/// ```
+#[deprecated(
+ note = "Use [std::iter::zip](https://doc.rust-lang.org/std/iter/fn.zip.html) instead",
+ since = "0.10.4"
+)]
+pub fn zip<I, J>(i: I, j: J) -> Zip<I::IntoIter, J::IntoIter>
+where
+ I: IntoIterator,
+ J: IntoIterator,
+{
+ i.into_iter().zip(j)
+}
+
+/// Takes two iterables and creates a new iterator over both in sequence.
+///
+/// [`IntoIterator`] enabled version of [`Iterator::chain`].
+///
+/// ## Example
+/// ```
+/// use itertools::chain;
+///
+/// let mut result:Vec<i32> = Vec::new();
+///
+/// for element in chain(&[1, 2, 3], &[4]) {
+/// result.push(*element);
+/// }
+/// assert_eq!(result, vec![1, 2, 3, 4]);
+/// ```
+pub fn chain<I, J>(
+ i: I,
+ j: J,
+) -> iter::Chain<<I as IntoIterator>::IntoIter, <J as IntoIterator>::IntoIter>
+where
+ I: IntoIterator,
+ J: IntoIterator<Item = I::Item>,
+{
+ i.into_iter().chain(j)
+}
+
+/// Create an iterator that clones each element from `&T` to `T`.
+///
+/// [`IntoIterator`] enabled version of [`Iterator::cloned`].
+///
+/// ```
+/// use itertools::cloned;
+///
+/// assert_eq!(cloned(b"abc").next(), Some(b'a'));
+/// ```
+pub fn cloned<'a, I, T>(iterable: I) -> iter::Cloned<I::IntoIter>
+where
+ I: IntoIterator<Item = &'a T>,
+ T: Clone + 'a,
+{
+ iterable.into_iter().cloned()
+}
+
+/// Perform a fold operation over the iterable.
+///
+/// [`IntoIterator`] enabled version of [`Iterator::fold`].
+///
+/// ```
+/// use itertools::fold;
+///
+/// assert_eq!(fold(&[1., 2., 3.], 0., |a, &b| f32::max(a, b)), 3.);
+/// ```
+pub fn fold<I, B, F>(iterable: I, init: B, f: F) -> B
+where
+ I: IntoIterator,
+ F: FnMut(B, I::Item) -> B,
+{
+ iterable.into_iter().fold(init, f)
+}
+
+/// Test whether the predicate holds for all elements in the iterable.
+///
+/// [`IntoIterator`] enabled version of [`Iterator::all`].
+///
+/// ```
+/// use itertools::all;
+///
+/// assert!(all(&[1, 2, 3], |elt| *elt > 0));
+/// ```
+pub fn all<I, F>(iterable: I, f: F) -> bool
+where
+ I: IntoIterator,
+ F: FnMut(I::Item) -> bool,
+{
+ iterable.into_iter().all(f)
+}
+
+/// Test whether the predicate holds for any elements in the iterable.
+///
+/// [`IntoIterator`] enabled version of [`Iterator::any`].
+///
+/// ```
+/// use itertools::any;
+///
+/// assert!(any(&[0, -1, 2], |elt| *elt > 0));
+/// ```
+pub fn any<I, F>(iterable: I, f: F) -> bool
+where
+ I: IntoIterator,
+ F: FnMut(I::Item) -> bool,
+{
+ iterable.into_iter().any(f)
+}
+
+/// Return the maximum value of the iterable.
+///
+/// [`IntoIterator`] enabled version of [`Iterator::max`].
+///
+/// ```
+/// use itertools::max;
+///
+/// assert_eq!(max(0..10), Some(9));
+/// ```
+pub fn max<I>(iterable: I) -> Option<I::Item>
+where
+ I: IntoIterator,
+ I::Item: Ord,
+{
+ iterable.into_iter().max()
+}
+
+/// Return the minimum value of the iterable.
+///
+/// [`IntoIterator`] enabled version of [`Iterator::min`].
+///
+/// ```
+/// use itertools::min;
+///
+/// assert_eq!(min(0..10), Some(0));
+/// ```
+pub fn min<I>(iterable: I) -> Option<I::Item>
+where
+ I: IntoIterator,
+ I::Item: Ord,
+{
+ iterable.into_iter().min()
+}
+
+/// Combine all iterator elements into one `String`, separated by `sep`.
+///
+/// [`IntoIterator`] enabled version of [`Itertools::join`].
+///
+/// ```
+/// use itertools::join;
+///
+/// assert_eq!(join(&[1, 2, 3], ", "), "1, 2, 3");
+/// ```
+#[cfg(feature = "use_alloc")]
+pub fn join<I>(iterable: I, sep: &str) -> String
+where
+ I: IntoIterator,
+ I::Item: Display,
+{
+ iterable.into_iter().join(sep)
+}
+
+/// Sort all iterator elements into a new iterator in ascending order.
+///
+/// [`IntoIterator`] enabled version of [`Itertools::sorted`].
+///
+/// ```
+/// use itertools::sorted;
+/// use itertools::assert_equal;
+///
+/// assert_equal(sorted("rust".chars()), "rstu".chars());
+/// ```
+#[cfg(feature = "use_alloc")]
+pub fn sorted<I>(iterable: I) -> VecIntoIter<I::Item>
+where
+ I: IntoIterator,
+ I::Item: Ord,
+{
+ iterable.into_iter().sorted()
+}
+
+/// Sort all iterator elements into a new iterator in ascending order.
+/// This sort is unstable (i.e., may reorder equal elements).
+///
+/// [`IntoIterator`] enabled version of [`Itertools::sorted_unstable`].
+///
+/// ```
+/// use itertools::sorted_unstable;
+/// use itertools::assert_equal;
+///
+/// assert_equal(sorted_unstable("rust".chars()), "rstu".chars());
+/// ```
+#[cfg(feature = "use_alloc")]
+pub fn sorted_unstable<I>(iterable: I) -> VecIntoIter<I::Item>
+where
+ I: IntoIterator,
+ I::Item: Ord,
+{
+ iterable.into_iter().sorted_unstable()
+}
diff --git a/vendor/itertools/src/group_map.rs b/vendor/itertools/src/group_map.rs
new file mode 100644
index 00000000..3dcee83a
--- /dev/null
+++ b/vendor/itertools/src/group_map.rs
@@ -0,0 +1,32 @@
+#![cfg(feature = "use_std")]
+
+use std::collections::HashMap;
+use std::hash::Hash;
+use std::iter::Iterator;
+
+/// Return a `HashMap` of keys mapped to a list of their corresponding values.
+///
+/// See [`.into_group_map()`](crate::Itertools::into_group_map)
+/// for more information.
+pub fn into_group_map<I, K, V>(iter: I) -> HashMap<K, Vec<V>>
+where
+ I: Iterator<Item = (K, V)>,
+ K: Hash + Eq,
+{
+ let mut lookup = HashMap::new();
+
+ iter.for_each(|(key, val)| {
+ lookup.entry(key).or_insert_with(Vec::new).push(val);
+ });
+
+ lookup
+}
+
+pub fn into_group_map_by<I, K, V, F>(iter: I, mut f: F) -> HashMap<K, Vec<V>>
+where
+ I: Iterator<Item = V>,
+ K: Hash + Eq,
+ F: FnMut(&V) -> K,
+{
+ into_group_map(iter.map(|v| (f(&v), v)))
+}
diff --git a/vendor/itertools/src/groupbylazy.rs b/vendor/itertools/src/groupbylazy.rs
new file mode 100644
index 00000000..5847c8f7
--- /dev/null
+++ b/vendor/itertools/src/groupbylazy.rs
@@ -0,0 +1,613 @@
+use alloc::vec::{self, Vec};
+use std::cell::{Cell, RefCell};
+
+/// A trait to unify `FnMut` for `ChunkBy` with the chunk key in `IntoChunks`
+trait KeyFunction<A> {
+ type Key;
+ fn call_mut(&mut self, arg: A) -> Self::Key;
+}
+
+impl<A, K, F> KeyFunction<A> for F
+where
+ F: FnMut(A) -> K + ?Sized,
+{
+ type Key = K;
+ #[inline]
+ fn call_mut(&mut self, arg: A) -> Self::Key {
+ (*self)(arg)
+ }
+}
+
+/// `ChunkIndex` acts like the grouping key function for `IntoChunks`
+#[derive(Debug, Clone)]
+struct ChunkIndex {
+ size: usize,
+ index: usize,
+ key: usize,
+}
+
+impl ChunkIndex {
+ #[inline(always)]
+ fn new(size: usize) -> Self {
+ Self {
+ size,
+ index: 0,
+ key: 0,
+ }
+ }
+}
+
+impl<A> KeyFunction<A> for ChunkIndex {
+ type Key = usize;
+ #[inline(always)]
+ fn call_mut(&mut self, _arg: A) -> Self::Key {
+ if self.index == self.size {
+ self.key += 1;
+ self.index = 0;
+ }
+ self.index += 1;
+ self.key
+ }
+}
+
+#[derive(Clone)]
+struct GroupInner<K, I, F>
+where
+ I: Iterator,
+{
+ key: F,
+ iter: I,
+ current_key: Option<K>,
+ current_elt: Option<I::Item>,
+ /// flag set if iterator is exhausted
+ done: bool,
+ /// Index of group we are currently buffering or visiting
+ top_group: usize,
+ /// Least index for which we still have elements buffered
+ oldest_buffered_group: usize,
+ /// Group index for `buffer[0]` -- the slots
+ /// `bottom_group..oldest_buffered_group` are unused and will be erased when
+ /// that range is large enough.
+ bottom_group: usize,
+ /// Buffered groups, from `bottom_group` (index 0) to `top_group`.
+ buffer: Vec<vec::IntoIter<I::Item>>,
+ /// index of last group iter that was dropped,
+ /// `usize::MAX` initially when no group was dropped
+ dropped_group: usize,
+}
+
+impl<K, I, F> GroupInner<K, I, F>
+where
+ I: Iterator,
+ F: for<'a> KeyFunction<&'a I::Item, Key = K>,
+ K: PartialEq,
+{
+ /// `client`: Index of group that requests next element
+ #[inline(always)]
+ fn step(&mut self, client: usize) -> Option<I::Item> {
+ /*
+ println!("client={}, bottom_group={}, oldest_buffered_group={}, top_group={}, buffers=[{}]",
+ client, self.bottom_group, self.oldest_buffered_group,
+ self.top_group,
+ self.buffer.iter().map(|elt| elt.len()).format(", "));
+ */
+ if client < self.oldest_buffered_group {
+ None
+ } else if client < self.top_group
+ || (client == self.top_group && self.buffer.len() > self.top_group - self.bottom_group)
+ {
+ self.lookup_buffer(client)
+ } else if self.done {
+ None
+ } else if self.top_group == client {
+ self.step_current()
+ } else {
+ self.step_buffering(client)
+ }
+ }
+
+ #[inline(never)]
+ fn lookup_buffer(&mut self, client: usize) -> Option<I::Item> {
+ // if `bufidx` doesn't exist in self.buffer, it might be empty
+ let bufidx = client - self.bottom_group;
+ if client < self.oldest_buffered_group {
+ return None;
+ }
+ let elt = self.buffer.get_mut(bufidx).and_then(|queue| queue.next());
+ if elt.is_none() && client == self.oldest_buffered_group {
+ // FIXME: VecDeque is unfortunately not zero allocation when empty,
+ // so we do this job manually.
+ // `bottom_group..oldest_buffered_group` is unused, and if it's large enough, erase it.
+ self.oldest_buffered_group += 1;
+ // skip forward further empty queues too
+ while self
+ .buffer
+ .get(self.oldest_buffered_group - self.bottom_group)
+ .map_or(false, |buf| buf.len() == 0)
+ {
+ self.oldest_buffered_group += 1;
+ }
+
+ let nclear = self.oldest_buffered_group - self.bottom_group;
+ if nclear > 0 && nclear >= self.buffer.len() / 2 {
+ let mut i = 0;
+ self.buffer.retain(|buf| {
+ i += 1;
+ debug_assert!(buf.len() == 0 || i > nclear);
+ i > nclear
+ });
+ self.bottom_group = self.oldest_buffered_group;
+ }
+ }
+ elt
+ }
+
+ /// Take the next element from the iterator, and set the done
+ /// flag if exhausted. Must not be called after done.
+ #[inline(always)]
+ fn next_element(&mut self) -> Option<I::Item> {
+ debug_assert!(!self.done);
+ match self.iter.next() {
+ None => {
+ self.done = true;
+ None
+ }
+ otherwise => otherwise,
+ }
+ }
+
+ #[inline(never)]
+ fn step_buffering(&mut self, client: usize) -> Option<I::Item> {
+ // requested a later group -- walk through the current group up to
+ // the requested group index, and buffer the elements (unless
+ // the group is marked as dropped).
+ // Because the `Groups` iterator is always the first to request
+ // each group index, client is the next index efter top_group.
+ debug_assert!(self.top_group + 1 == client);
+ let mut group = Vec::new();
+
+ if let Some(elt) = self.current_elt.take() {
+ if self.top_group != self.dropped_group {
+ group.push(elt);
+ }
+ }
+ let mut first_elt = None; // first element of the next group
+
+ while let Some(elt) = self.next_element() {
+ let key = self.key.call_mut(&elt);
+ match self.current_key.take() {
+ None => {}
+ Some(old_key) => {
+ if old_key != key {
+ self.current_key = Some(key);
+ first_elt = Some(elt);
+ break;
+ }
+ }
+ }
+ self.current_key = Some(key);
+ if self.top_group != self.dropped_group {
+ group.push(elt);
+ }
+ }
+
+ if self.top_group != self.dropped_group {
+ self.push_next_group(group);
+ }
+ if first_elt.is_some() {
+ self.top_group += 1;
+ debug_assert!(self.top_group == client);
+ }
+ first_elt
+ }
+
+ fn push_next_group(&mut self, group: Vec<I::Item>) {
+ // When we add a new buffered group, fill up slots between oldest_buffered_group and top_group
+ while self.top_group - self.bottom_group > self.buffer.len() {
+ if self.buffer.is_empty() {
+ self.bottom_group += 1;
+ self.oldest_buffered_group += 1;
+ } else {
+ self.buffer.push(Vec::new().into_iter());
+ }
+ }
+ self.buffer.push(group.into_iter());
+ debug_assert!(self.top_group + 1 - self.bottom_group == self.buffer.len());
+ }
+
+ /// This is the immediate case, where we use no buffering
+ #[inline]
+ fn step_current(&mut self) -> Option<I::Item> {
+ debug_assert!(!self.done);
+ if let elt @ Some(..) = self.current_elt.take() {
+ return elt;
+ }
+ match self.next_element() {
+ None => None,
+ Some(elt) => {
+ let key = self.key.call_mut(&elt);
+ match self.current_key.take() {
+ None => {}
+ Some(old_key) => {
+ if old_key != key {
+ self.current_key = Some(key);
+ self.current_elt = Some(elt);
+ self.top_group += 1;
+ return None;
+ }
+ }
+ }
+ self.current_key = Some(key);
+ Some(elt)
+ }
+ }
+ }
+
+ /// Request the just started groups' key.
+ ///
+ /// `client`: Index of group
+ ///
+ /// **Panics** if no group key is available.
+ fn group_key(&mut self, client: usize) -> K {
+ // This can only be called after we have just returned the first
+ // element of a group.
+ // Perform this by simply buffering one more element, grabbing the
+ // next key.
+ debug_assert!(!self.done);
+ debug_assert!(client == self.top_group);
+ debug_assert!(self.current_key.is_some());
+ debug_assert!(self.current_elt.is_none());
+ let old_key = self.current_key.take().unwrap();
+ if let Some(elt) = self.next_element() {
+ let key = self.key.call_mut(&elt);
+ if old_key != key {
+ self.top_group += 1;
+ }
+ self.current_key = Some(key);
+ self.current_elt = Some(elt);
+ }
+ old_key
+ }
+}
+
+impl<K, I, F> GroupInner<K, I, F>
+where
+ I: Iterator,
+{
+ /// Called when a group is dropped
+ fn drop_group(&mut self, client: usize) {
+ // It's only useful to track the maximal index
+ if self.dropped_group == !0 || client > self.dropped_group {
+ self.dropped_group = client;
+ }
+ }
+}
+
+#[deprecated(note = "Use `ChunkBy` instead", since = "0.13.0")]
+/// See [`ChunkBy`](crate::structs::ChunkBy).
+pub type GroupBy<K, I, F> = ChunkBy<K, I, F>;
+
+/// `ChunkBy` is the storage for the lazy grouping operation.
+///
+/// If the groups are consumed in their original order, or if each
+/// group is dropped without keeping it around, then `ChunkBy` uses
+/// no allocations. It needs allocations only if several group iterators
+/// are alive at the same time.
+///
+/// This type implements [`IntoIterator`] (it is **not** an iterator
+/// itself), because the group iterators need to borrow from this
+/// value. It should be stored in a local variable or temporary and
+/// iterated.
+///
+/// See [`.chunk_by()`](crate::Itertools::chunk_by) for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct ChunkBy<K, I, F>
+where
+ I: Iterator,
+{
+ inner: RefCell<GroupInner<K, I, F>>,
+ // the group iterator's current index. Keep this in the main value
+ // so that simultaneous iterators all use the same state.
+ index: Cell<usize>,
+}
+
+/// Create a new
+pub fn new<K, J, F>(iter: J, f: F) -> ChunkBy<K, J::IntoIter, F>
+where
+ J: IntoIterator,
+ F: FnMut(&J::Item) -> K,
+{
+ ChunkBy {
+ inner: RefCell::new(GroupInner {
+ key: f,
+ iter: iter.into_iter(),
+ current_key: None,
+ current_elt: None,
+ done: false,
+ top_group: 0,
+ oldest_buffered_group: 0,
+ bottom_group: 0,
+ buffer: Vec::new(),
+ dropped_group: !0,
+ }),
+ index: Cell::new(0),
+ }
+}
+
+impl<K, I, F> ChunkBy<K, I, F>
+where
+ I: Iterator,
+{
+ /// `client`: Index of group that requests next element
+ fn step(&self, client: usize) -> Option<I::Item>
+ where
+ F: FnMut(&I::Item) -> K,
+ K: PartialEq,
+ {
+ self.inner.borrow_mut().step(client)
+ }
+
+ /// `client`: Index of group
+ fn drop_group(&self, client: usize) {
+ self.inner.borrow_mut().drop_group(client);
+ }
+}
+
+impl<'a, K, I, F> IntoIterator for &'a ChunkBy<K, I, F>
+where
+ I: Iterator,
+ I::Item: 'a,
+ F: FnMut(&I::Item) -> K,
+ K: PartialEq,
+{
+ type Item = (K, Group<'a, K, I, F>);
+ type IntoIter = Groups<'a, K, I, F>;
+
+ fn into_iter(self) -> Self::IntoIter {
+ Groups { parent: self }
+ }
+}
+
+/// An iterator that yields the Group iterators.
+///
+/// Iterator element type is `(K, Group)`:
+/// the group's key `K` and the group's iterator.
+///
+/// See [`.chunk_by()`](crate::Itertools::chunk_by) for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct Groups<'a, K, I, F>
+where
+ I: Iterator + 'a,
+ I::Item: 'a,
+ K: 'a,
+ F: 'a,
+{
+ parent: &'a ChunkBy<K, I, F>,
+}
+
+impl<'a, K, I, F> Iterator for Groups<'a, K, I, F>
+where
+ I: Iterator,
+ I::Item: 'a,
+ F: FnMut(&I::Item) -> K,
+ K: PartialEq,
+{
+ type Item = (K, Group<'a, K, I, F>);
+
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ let index = self.parent.index.get();
+ self.parent.index.set(index + 1);
+ let inner = &mut *self.parent.inner.borrow_mut();
+ inner.step(index).map(|elt| {
+ let key = inner.group_key(index);
+ (
+ key,
+ Group {
+ parent: self.parent,
+ index,
+ first: Some(elt),
+ },
+ )
+ })
+ }
+}
+
+/// An iterator for the elements in a single group.
+///
+/// Iterator element type is `I::Item`.
+pub struct Group<'a, K, I, F>
+where
+ I: Iterator + 'a,
+ I::Item: 'a,
+ K: 'a,
+ F: 'a,
+{
+ parent: &'a ChunkBy<K, I, F>,
+ index: usize,
+ first: Option<I::Item>,
+}
+
+impl<'a, K, I, F> Drop for Group<'a, K, I, F>
+where
+ I: Iterator,
+ I::Item: 'a,
+{
+ fn drop(&mut self) {
+ self.parent.drop_group(self.index);
+ }
+}
+
+impl<'a, K, I, F> Iterator for Group<'a, K, I, F>
+where
+ I: Iterator,
+ I::Item: 'a,
+ F: FnMut(&I::Item) -> K,
+ K: PartialEq,
+{
+ type Item = I::Item;
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ if let elt @ Some(..) = self.first.take() {
+ return elt;
+ }
+ self.parent.step(self.index)
+ }
+}
+
+///// IntoChunks /////
+
+/// Create a new
+pub fn new_chunks<J>(iter: J, size: usize) -> IntoChunks<J::IntoIter>
+where
+ J: IntoIterator,
+{
+ IntoChunks {
+ inner: RefCell::new(GroupInner {
+ key: ChunkIndex::new(size),
+ iter: iter.into_iter(),
+ current_key: None,
+ current_elt: None,
+ done: false,
+ top_group: 0,
+ oldest_buffered_group: 0,
+ bottom_group: 0,
+ buffer: Vec::new(),
+ dropped_group: !0,
+ }),
+ index: Cell::new(0),
+ }
+}
+
+/// `ChunkLazy` is the storage for a lazy chunking operation.
+///
+/// `IntoChunks` behaves just like `ChunkBy`: it is iterable, and
+/// it only buffers if several chunk iterators are alive at the same time.
+///
+/// This type implements [`IntoIterator`] (it is **not** an iterator
+/// itself), because the chunk iterators need to borrow from this
+/// value. It should be stored in a local variable or temporary and
+/// iterated.
+///
+/// Iterator element type is `Chunk`, each chunk's iterator.
+///
+/// See [`.chunks()`](crate::Itertools::chunks) for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct IntoChunks<I>
+where
+ I: Iterator,
+{
+ inner: RefCell<GroupInner<usize, I, ChunkIndex>>,
+ // the chunk iterator's current index. Keep this in the main value
+ // so that simultaneous iterators all use the same state.
+ index: Cell<usize>,
+}
+
+impl<I> Clone for IntoChunks<I>
+where
+ I: Clone + Iterator,
+ I::Item: Clone,
+{
+ clone_fields!(inner, index);
+}
+
+impl<I> IntoChunks<I>
+where
+ I: Iterator,
+{
+ /// `client`: Index of chunk that requests next element
+ fn step(&self, client: usize) -> Option<I::Item> {
+ self.inner.borrow_mut().step(client)
+ }
+
+ /// `client`: Index of chunk
+ fn drop_group(&self, client: usize) {
+ self.inner.borrow_mut().drop_group(client);
+ }
+}
+
+impl<'a, I> IntoIterator for &'a IntoChunks<I>
+where
+ I: Iterator,
+ I::Item: 'a,
+{
+ type Item = Chunk<'a, I>;
+ type IntoIter = Chunks<'a, I>;
+
+ fn into_iter(self) -> Self::IntoIter {
+ Chunks { parent: self }
+ }
+}
+
+/// An iterator that yields the Chunk iterators.
+///
+/// Iterator element type is `Chunk`.
+///
+/// See [`.chunks()`](crate::Itertools::chunks) for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+#[derive(Clone)]
+pub struct Chunks<'a, I>
+where
+ I: Iterator + 'a,
+ I::Item: 'a,
+{
+ parent: &'a IntoChunks<I>,
+}
+
+impl<'a, I> Iterator for Chunks<'a, I>
+where
+ I: Iterator,
+ I::Item: 'a,
+{
+ type Item = Chunk<'a, I>;
+
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ let index = self.parent.index.get();
+ self.parent.index.set(index + 1);
+ let inner = &mut *self.parent.inner.borrow_mut();
+ inner.step(index).map(|elt| Chunk {
+ parent: self.parent,
+ index,
+ first: Some(elt),
+ })
+ }
+}
+
+/// An iterator for the elements in a single chunk.
+///
+/// Iterator element type is `I::Item`.
+pub struct Chunk<'a, I>
+where
+ I: Iterator + 'a,
+ I::Item: 'a,
+{
+ parent: &'a IntoChunks<I>,
+ index: usize,
+ first: Option<I::Item>,
+}
+
+impl<'a, I> Drop for Chunk<'a, I>
+where
+ I: Iterator,
+ I::Item: 'a,
+{
+ fn drop(&mut self) {
+ self.parent.drop_group(self.index);
+ }
+}
+
+impl<'a, I> Iterator for Chunk<'a, I>
+where
+ I: Iterator,
+ I::Item: 'a,
+{
+ type Item = I::Item;
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ if let elt @ Some(..) = self.first.take() {
+ return elt;
+ }
+ self.parent.step(self.index)
+ }
+}
diff --git a/vendor/itertools/src/grouping_map.rs b/vendor/itertools/src/grouping_map.rs
new file mode 100644
index 00000000..86cb55dc
--- /dev/null
+++ b/vendor/itertools/src/grouping_map.rs
@@ -0,0 +1,612 @@
+use crate::{
+ adaptors::map::{MapSpecialCase, MapSpecialCaseFn},
+ MinMaxResult,
+};
+use std::cmp::Ordering;
+use std::collections::HashMap;
+use std::hash::Hash;
+use std::iter::Iterator;
+use std::ops::{Add, Mul};
+
+/// A wrapper to allow for an easy [`into_grouping_map_by`](crate::Itertools::into_grouping_map_by)
+pub type MapForGrouping<I, F> = MapSpecialCase<I, GroupingMapFn<F>>;
+
+#[derive(Clone)]
+pub struct GroupingMapFn<F>(F);
+
+impl<F> std::fmt::Debug for GroupingMapFn<F> {
+ debug_fmt_fields!(GroupingMapFn,);
+}
+
+impl<V, K, F: FnMut(&V) -> K> MapSpecialCaseFn<V> for GroupingMapFn<F> {
+ type Out = (K, V);
+ fn call(&mut self, v: V) -> Self::Out {
+ ((self.0)(&v), v)
+ }
+}
+
+pub(crate) fn new_map_for_grouping<K, I: Iterator, F: FnMut(&I::Item) -> K>(
+ iter: I,
+ key_mapper: F,
+) -> MapForGrouping<I, F> {
+ MapSpecialCase {
+ iter,
+ f: GroupingMapFn(key_mapper),
+ }
+}
+
+/// Creates a new `GroupingMap` from `iter`
+pub fn new<I, K, V>(iter: I) -> GroupingMap<I>
+where
+ I: Iterator<Item = (K, V)>,
+ K: Hash + Eq,
+{
+ GroupingMap { iter }
+}
+
+/// `GroupingMapBy` is an intermediate struct for efficient group-and-fold operations.
+///
+/// See [`GroupingMap`] for more informations.
+pub type GroupingMapBy<I, F> = GroupingMap<MapForGrouping<I, F>>;
+
+/// `GroupingMap` is an intermediate struct for efficient group-and-fold operations.
+/// It groups elements by their key and at the same time fold each group
+/// using some aggregating operation.
+///
+/// No method on this struct performs temporary allocations.
+#[derive(Clone, Debug)]
+#[must_use = "GroupingMap is lazy and do nothing unless consumed"]
+pub struct GroupingMap<I> {
+ iter: I,
+}
+
+impl<I, K, V> GroupingMap<I>
+where
+ I: Iterator<Item = (K, V)>,
+ K: Hash + Eq,
+{
+ /// This is the generic way to perform any operation on a `GroupingMap`.
+ /// It's suggested to use this method only to implement custom operations
+ /// when the already provided ones are not enough.
+ ///
+ /// Groups elements from the `GroupingMap` source by key and applies `operation` to the elements
+ /// of each group sequentially, passing the previously accumulated value, a reference to the key
+ /// and the current element as arguments, and stores the results in an `HashMap`.
+ ///
+ /// The `operation` function is invoked on each element with the following parameters:
+ /// - the current value of the accumulator of the group if there is currently one;
+ /// - a reference to the key of the group this element belongs to;
+ /// - the element from the source being aggregated;
+ ///
+ /// If `operation` returns `Some(element)` then the accumulator is updated with `element`,
+ /// otherwise the previous accumulation is discarded.
+ ///
+ /// Return a `HashMap` associating the key of each group with the result of aggregation of
+ /// that group's elements. If the aggregation of the last element of a group discards the
+ /// accumulator then there won't be an entry associated to that group's key.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec![2, 8, 5, 7, 9, 0, 4, 10];
+ /// let lookup = data.into_iter()
+ /// .into_grouping_map_by(|&n| n % 4)
+ /// .aggregate(|acc, _key, val| {
+ /// if val == 0 || val == 10 {
+ /// None
+ /// } else {
+ /// Some(acc.unwrap_or(0) + val)
+ /// }
+ /// });
+ ///
+ /// assert_eq!(lookup[&0], 4); // 0 resets the accumulator so only 4 is summed
+ /// assert_eq!(lookup[&1], 5 + 9);
+ /// assert_eq!(lookup.get(&2), None); // 10 resets the accumulator and nothing is summed afterward
+ /// assert_eq!(lookup[&3], 7);
+ /// assert_eq!(lookup.len(), 3); // The final keys are only 0, 1 and 2
+ /// ```
+ pub fn aggregate<FO, R>(self, mut operation: FO) -> HashMap<K, R>
+ where
+ FO: FnMut(Option<R>, &K, V) -> Option<R>,
+ {
+ let mut destination_map = HashMap::new();
+
+ self.iter.for_each(|(key, val)| {
+ let acc = destination_map.remove(&key);
+ if let Some(op_res) = operation(acc, &key, val) {
+ destination_map.insert(key, op_res);
+ }
+ });
+
+ destination_map
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and applies `operation` to the elements
+ /// of each group sequentially, passing the previously accumulated value, a reference to the key
+ /// and the current element as arguments, and stores the results in a new map.
+ ///
+ /// `init` is called to obtain the initial value of each accumulator.
+ ///
+ /// `operation` is a function that is invoked on each element with the following parameters:
+ /// - the current value of the accumulator of the group;
+ /// - a reference to the key of the group this element belongs to;
+ /// - the element from the source being accumulated.
+ ///
+ /// Return a `HashMap` associating the key of each group with the result of folding that group's elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// #[derive(Debug, Default)]
+ /// struct Accumulator {
+ /// acc: usize,
+ /// }
+ ///
+ /// let lookup = (1..=7)
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .fold_with(|_key, _val| Default::default(), |Accumulator { acc }, _key, val| {
+ /// let acc = acc + val;
+ /// Accumulator { acc }
+ /// });
+ ///
+ /// assert_eq!(lookup[&0].acc, 3 + 6);
+ /// assert_eq!(lookup[&1].acc, 1 + 4 + 7);
+ /// assert_eq!(lookup[&2].acc, 2 + 5);
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn fold_with<FI, FO, R>(self, mut init: FI, mut operation: FO) -> HashMap<K, R>
+ where
+ FI: FnMut(&K, &V) -> R,
+ FO: FnMut(R, &K, V) -> R,
+ {
+ self.aggregate(|acc, key, val| {
+ let acc = acc.unwrap_or_else(|| init(key, &val));
+ Some(operation(acc, key, val))
+ })
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and applies `operation` to the elements
+ /// of each group sequentially, passing the previously accumulated value, a reference to the key
+ /// and the current element as arguments, and stores the results in a new map.
+ ///
+ /// `init` is the value from which will be cloned the initial value of each accumulator.
+ ///
+ /// `operation` is a function that is invoked on each element with the following parameters:
+ /// - the current value of the accumulator of the group;
+ /// - a reference to the key of the group this element belongs to;
+ /// - the element from the source being accumulated.
+ ///
+ /// Return a `HashMap` associating the key of each group with the result of folding that group's elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let lookup = (1..=7)
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .fold(0, |acc, _key, val| acc + val);
+ ///
+ /// assert_eq!(lookup[&0], 3 + 6);
+ /// assert_eq!(lookup[&1], 1 + 4 + 7);
+ /// assert_eq!(lookup[&2], 2 + 5);
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn fold<FO, R>(self, init: R, operation: FO) -> HashMap<K, R>
+ where
+ R: Clone,
+ FO: FnMut(R, &K, V) -> R,
+ {
+ self.fold_with(|_, _| init.clone(), operation)
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and applies `operation` to the elements
+ /// of each group sequentially, passing the previously accumulated value, a reference to the key
+ /// and the current element as arguments, and stores the results in a new map.
+ ///
+ /// This is similar to [`fold`] but the initial value of the accumulator is the first element of the group.
+ ///
+ /// `operation` is a function that is invoked on each element with the following parameters:
+ /// - the current value of the accumulator of the group;
+ /// - a reference to the key of the group this element belongs to;
+ /// - the element from the source being accumulated.
+ ///
+ /// Return a `HashMap` associating the key of each group with the result of folding that group's elements.
+ ///
+ /// [`fold`]: GroupingMap::fold
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let lookup = (1..=7)
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .reduce(|acc, _key, val| acc + val);
+ ///
+ /// assert_eq!(lookup[&0], 3 + 6);
+ /// assert_eq!(lookup[&1], 1 + 4 + 7);
+ /// assert_eq!(lookup[&2], 2 + 5);
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn reduce<FO>(self, mut operation: FO) -> HashMap<K, V>
+ where
+ FO: FnMut(V, &K, V) -> V,
+ {
+ self.aggregate(|acc, key, val| {
+ Some(match acc {
+ Some(acc) => operation(acc, key, val),
+ None => val,
+ })
+ })
+ }
+
+ /// See [`.reduce()`](GroupingMap::reduce).
+ #[deprecated(note = "Use .reduce() instead", since = "0.13.0")]
+ pub fn fold_first<FO>(self, operation: FO) -> HashMap<K, V>
+ where
+ FO: FnMut(V, &K, V) -> V,
+ {
+ self.reduce(operation)
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and collects the elements of each group in
+ /// an instance of `C`. The iteration order is preserved when inserting elements.
+ ///
+ /// Return a `HashMap` associating the key of each group with the collection containing that group's elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// use std::collections::HashSet;
+ ///
+ /// let lookup = vec![0, 1, 2, 3, 4, 5, 6, 2, 3, 6].into_iter()
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .collect::<HashSet<_>>();
+ ///
+ /// assert_eq!(lookup[&0], vec![0, 3, 6].into_iter().collect::<HashSet<_>>());
+ /// assert_eq!(lookup[&1], vec![1, 4].into_iter().collect::<HashSet<_>>());
+ /// assert_eq!(lookup[&2], vec![2, 5].into_iter().collect::<HashSet<_>>());
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn collect<C>(self) -> HashMap<K, C>
+ where
+ C: Default + Extend<V>,
+ {
+ let mut destination_map = HashMap::new();
+
+ self.iter.for_each(|(key, val)| {
+ destination_map
+ .entry(key)
+ .or_insert_with(C::default)
+ .extend(Some(val));
+ });
+
+ destination_map
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and finds the maximum of each group.
+ ///
+ /// If several elements are equally maximum, the last element is picked.
+ ///
+ /// Returns a `HashMap` associating the key of each group with the maximum of that group's elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let lookup = vec![1, 3, 4, 5, 7, 8, 9, 12].into_iter()
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .max();
+ ///
+ /// assert_eq!(lookup[&0], 12);
+ /// assert_eq!(lookup[&1], 7);
+ /// assert_eq!(lookup[&2], 8);
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn max(self) -> HashMap<K, V>
+ where
+ V: Ord,
+ {
+ self.max_by(|_, v1, v2| V::cmp(v1, v2))
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and finds the maximum of each group
+ /// with respect to the specified comparison function.
+ ///
+ /// If several elements are equally maximum, the last element is picked.
+ ///
+ /// Returns a `HashMap` associating the key of each group with the maximum of that group's elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let lookup = vec![1, 3, 4, 5, 7, 8, 9, 12].into_iter()
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .max_by(|_key, x, y| y.cmp(x));
+ ///
+ /// assert_eq!(lookup[&0], 3);
+ /// assert_eq!(lookup[&1], 1);
+ /// assert_eq!(lookup[&2], 5);
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn max_by<F>(self, mut compare: F) -> HashMap<K, V>
+ where
+ F: FnMut(&K, &V, &V) -> Ordering,
+ {
+ self.reduce(|acc, key, val| match compare(key, &acc, &val) {
+ Ordering::Less | Ordering::Equal => val,
+ Ordering::Greater => acc,
+ })
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and finds the element of each group
+ /// that gives the maximum from the specified function.
+ ///
+ /// If several elements are equally maximum, the last element is picked.
+ ///
+ /// Returns a `HashMap` associating the key of each group with the maximum of that group's elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let lookup = vec![1, 3, 4, 5, 7, 8, 9, 12].into_iter()
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .max_by_key(|_key, &val| val % 4);
+ ///
+ /// assert_eq!(lookup[&0], 3);
+ /// assert_eq!(lookup[&1], 7);
+ /// assert_eq!(lookup[&2], 5);
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn max_by_key<F, CK>(self, mut f: F) -> HashMap<K, V>
+ where
+ F: FnMut(&K, &V) -> CK,
+ CK: Ord,
+ {
+ self.max_by(|key, v1, v2| f(key, v1).cmp(&f(key, v2)))
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and finds the minimum of each group.
+ ///
+ /// If several elements are equally minimum, the first element is picked.
+ ///
+ /// Returns a `HashMap` associating the key of each group with the minimum of that group's elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let lookup = vec![1, 3, 4, 5, 7, 8, 9, 12].into_iter()
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .min();
+ ///
+ /// assert_eq!(lookup[&0], 3);
+ /// assert_eq!(lookup[&1], 1);
+ /// assert_eq!(lookup[&2], 5);
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn min(self) -> HashMap<K, V>
+ where
+ V: Ord,
+ {
+ self.min_by(|_, v1, v2| V::cmp(v1, v2))
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and finds the minimum of each group
+ /// with respect to the specified comparison function.
+ ///
+ /// If several elements are equally minimum, the first element is picked.
+ ///
+ /// Returns a `HashMap` associating the key of each group with the minimum of that group's elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let lookup = vec![1, 3, 4, 5, 7, 8, 9, 12].into_iter()
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .min_by(|_key, x, y| y.cmp(x));
+ ///
+ /// assert_eq!(lookup[&0], 12);
+ /// assert_eq!(lookup[&1], 7);
+ /// assert_eq!(lookup[&2], 8);
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn min_by<F>(self, mut compare: F) -> HashMap<K, V>
+ where
+ F: FnMut(&K, &V, &V) -> Ordering,
+ {
+ self.reduce(|acc, key, val| match compare(key, &acc, &val) {
+ Ordering::Less | Ordering::Equal => acc,
+ Ordering::Greater => val,
+ })
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and finds the element of each group
+ /// that gives the minimum from the specified function.
+ ///
+ /// If several elements are equally minimum, the first element is picked.
+ ///
+ /// Returns a `HashMap` associating the key of each group with the minimum of that group's elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let lookup = vec![1, 3, 4, 5, 7, 8, 9, 12].into_iter()
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .min_by_key(|_key, &val| val % 4);
+ ///
+ /// assert_eq!(lookup[&0], 12);
+ /// assert_eq!(lookup[&1], 4);
+ /// assert_eq!(lookup[&2], 8);
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn min_by_key<F, CK>(self, mut f: F) -> HashMap<K, V>
+ where
+ F: FnMut(&K, &V) -> CK,
+ CK: Ord,
+ {
+ self.min_by(|key, v1, v2| f(key, v1).cmp(&f(key, v2)))
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and find the maximum and minimum of
+ /// each group.
+ ///
+ /// If several elements are equally maximum, the last element is picked.
+ /// If several elements are equally minimum, the first element is picked.
+ ///
+ /// See [`Itertools::minmax`](crate::Itertools::minmax) for the non-grouping version.
+ ///
+ /// Differences from the non grouping version:
+ /// - It never produces a `MinMaxResult::NoElements`
+ /// - It doesn't have any speedup
+ ///
+ /// Returns a `HashMap` associating the key of each group with the minimum and maximum of that group's elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// use itertools::MinMaxResult::{OneElement, MinMax};
+ ///
+ /// let lookup = vec![1, 3, 4, 5, 7, 9, 12].into_iter()
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .minmax();
+ ///
+ /// assert_eq!(lookup[&0], MinMax(3, 12));
+ /// assert_eq!(lookup[&1], MinMax(1, 7));
+ /// assert_eq!(lookup[&2], OneElement(5));
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn minmax(self) -> HashMap<K, MinMaxResult<V>>
+ where
+ V: Ord,
+ {
+ self.minmax_by(|_, v1, v2| V::cmp(v1, v2))
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and find the maximum and minimum of
+ /// each group with respect to the specified comparison function.
+ ///
+ /// If several elements are equally maximum, the last element is picked.
+ /// If several elements are equally minimum, the first element is picked.
+ ///
+ /// It has the same differences from the non-grouping version as `minmax`.
+ ///
+ /// Returns a `HashMap` associating the key of each group with the minimum and maximum of that group's elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// use itertools::MinMaxResult::{OneElement, MinMax};
+ ///
+ /// let lookup = vec![1, 3, 4, 5, 7, 9, 12].into_iter()
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .minmax_by(|_key, x, y| y.cmp(x));
+ ///
+ /// assert_eq!(lookup[&0], MinMax(12, 3));
+ /// assert_eq!(lookup[&1], MinMax(7, 1));
+ /// assert_eq!(lookup[&2], OneElement(5));
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn minmax_by<F>(self, mut compare: F) -> HashMap<K, MinMaxResult<V>>
+ where
+ F: FnMut(&K, &V, &V) -> Ordering,
+ {
+ self.aggregate(|acc, key, val| {
+ Some(match acc {
+ Some(MinMaxResult::OneElement(e)) => {
+ if compare(key, &val, &e) == Ordering::Less {
+ MinMaxResult::MinMax(val, e)
+ } else {
+ MinMaxResult::MinMax(e, val)
+ }
+ }
+ Some(MinMaxResult::MinMax(min, max)) => {
+ if compare(key, &val, &min) == Ordering::Less {
+ MinMaxResult::MinMax(val, max)
+ } else if compare(key, &val, &max) != Ordering::Less {
+ MinMaxResult::MinMax(min, val)
+ } else {
+ MinMaxResult::MinMax(min, max)
+ }
+ }
+ None => MinMaxResult::OneElement(val),
+ Some(MinMaxResult::NoElements) => unreachable!(),
+ })
+ })
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and find the elements of each group
+ /// that gives the minimum and maximum from the specified function.
+ ///
+ /// If several elements are equally maximum, the last element is picked.
+ /// If several elements are equally minimum, the first element is picked.
+ ///
+ /// It has the same differences from the non-grouping version as `minmax`.
+ ///
+ /// Returns a `HashMap` associating the key of each group with the minimum and maximum of that group's elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// use itertools::MinMaxResult::{OneElement, MinMax};
+ ///
+ /// let lookup = vec![1, 3, 4, 5, 7, 9, 12].into_iter()
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .minmax_by_key(|_key, &val| val % 4);
+ ///
+ /// assert_eq!(lookup[&0], MinMax(12, 3));
+ /// assert_eq!(lookup[&1], MinMax(4, 7));
+ /// assert_eq!(lookup[&2], OneElement(5));
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn minmax_by_key<F, CK>(self, mut f: F) -> HashMap<K, MinMaxResult<V>>
+ where
+ F: FnMut(&K, &V) -> CK,
+ CK: Ord,
+ {
+ self.minmax_by(|key, v1, v2| f(key, v1).cmp(&f(key, v2)))
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and sums them.
+ ///
+ /// This is just a shorthand for `self.reduce(|acc, _, val| acc + val)`.
+ /// It is more limited than `Iterator::sum` since it doesn't use the `Sum` trait.
+ ///
+ /// Returns a `HashMap` associating the key of each group with the sum of that group's elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let lookup = vec![1, 3, 4, 5, 7, 8, 9, 12].into_iter()
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .sum();
+ ///
+ /// assert_eq!(lookup[&0], 3 + 9 + 12);
+ /// assert_eq!(lookup[&1], 1 + 4 + 7);
+ /// assert_eq!(lookup[&2], 5 + 8);
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn sum(self) -> HashMap<K, V>
+ where
+ V: Add<V, Output = V>,
+ {
+ self.reduce(|acc, _, val| acc + val)
+ }
+
+ /// Groups elements from the `GroupingMap` source by key and multiply them.
+ ///
+ /// This is just a shorthand for `self.reduce(|acc, _, val| acc * val)`.
+ /// It is more limited than `Iterator::product` since it doesn't use the `Product` trait.
+ ///
+ /// Returns a `HashMap` associating the key of each group with the product of that group's elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let lookup = vec![1, 3, 4, 5, 7, 8, 9, 12].into_iter()
+ /// .into_grouping_map_by(|&n| n % 3)
+ /// .product();
+ ///
+ /// assert_eq!(lookup[&0], 3 * 9 * 12);
+ /// assert_eq!(lookup[&1], 1 * 4 * 7);
+ /// assert_eq!(lookup[&2], 5 * 8);
+ /// assert_eq!(lookup.len(), 3);
+ /// ```
+ pub fn product(self) -> HashMap<K, V>
+ where
+ V: Mul<V, Output = V>,
+ {
+ self.reduce(|acc, _, val| acc * val)
+ }
+}
diff --git a/vendor/itertools/src/impl_macros.rs b/vendor/itertools/src/impl_macros.rs
new file mode 100644
index 00000000..3db5ba02
--- /dev/null
+++ b/vendor/itertools/src/impl_macros.rs
@@ -0,0 +1,34 @@
+//!
+//! Implementation's internal macros
+
+macro_rules! debug_fmt_fields {
+ ($tyname:ident, $($($field:tt/*TODO ideally we would accept ident or tuple element here*/).+),*) => {
+ fn fmt(&self, f: &mut ::std::fmt::Formatter) -> ::std::fmt::Result {
+ f.debug_struct(stringify!($tyname))
+ $(
+ .field(stringify!($($field).+), &self.$($field).+)
+ )*
+ .finish()
+ }
+ }
+}
+
+macro_rules! clone_fields {
+ ($($field:ident),*) => {
+ #[inline] // TODO is this sensible?
+ fn clone(&self) -> Self {
+ Self {
+ $($field: self.$field.clone(),)*
+ }
+ }
+ }
+}
+
+macro_rules! ignore_ident{
+ ($id:ident, $($t:tt)*) => {$($t)*};
+}
+
+macro_rules! count_ident {
+ () => {0};
+ ($i0:ident $($i:ident)*) => {1 + count_ident!($($i)*)};
+}
diff --git a/vendor/itertools/src/intersperse.rs b/vendor/itertools/src/intersperse.rs
new file mode 100644
index 00000000..5f4f7938
--- /dev/null
+++ b/vendor/itertools/src/intersperse.rs
@@ -0,0 +1,142 @@
+use super::size_hint;
+use std::iter::{Fuse, FusedIterator};
+
+pub trait IntersperseElement<Item> {
+ fn generate(&mut self) -> Item;
+}
+
+#[derive(Debug, Clone)]
+pub struct IntersperseElementSimple<Item>(Item);
+
+impl<Item: Clone> IntersperseElement<Item> for IntersperseElementSimple<Item> {
+ fn generate(&mut self) -> Item {
+ self.0.clone()
+ }
+}
+
+/// An iterator adaptor to insert a particular value
+/// between each element of the adapted iterator.
+///
+/// Iterator element type is `I::Item`
+///
+/// This iterator is *fused*.
+///
+/// See [`.intersperse()`](crate::Itertools::intersperse) for more information.
+pub type Intersperse<I> = IntersperseWith<I, IntersperseElementSimple<<I as Iterator>::Item>>;
+
+/// Create a new Intersperse iterator
+pub fn intersperse<I>(iter: I, elt: I::Item) -> Intersperse<I>
+where
+ I: Iterator,
+{
+ intersperse_with(iter, IntersperseElementSimple(elt))
+}
+
+impl<Item, F: FnMut() -> Item> IntersperseElement<Item> for F {
+ fn generate(&mut self) -> Item {
+ self()
+ }
+}
+
+/// An iterator adaptor to insert a particular value created by a function
+/// between each element of the adapted iterator.
+///
+/// Iterator element type is `I::Item`
+///
+/// This iterator is *fused*.
+///
+/// See [`.intersperse_with()`](crate::Itertools::intersperse_with) for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+#[derive(Clone, Debug)]
+pub struct IntersperseWith<I, ElemF>
+where
+ I: Iterator,
+{
+ element: ElemF,
+ iter: Fuse<I>,
+ /// `peek` is None while no item have been taken out of `iter` (at definition).
+ /// Then `peek` will alternatively be `Some(None)` and `Some(Some(item))`,
+ /// where `None` indicates it's time to generate from `element` (unless `iter` is empty).
+ peek: Option<Option<I::Item>>,
+}
+
+/// Create a new `IntersperseWith` iterator
+pub fn intersperse_with<I, ElemF>(iter: I, elt: ElemF) -> IntersperseWith<I, ElemF>
+where
+ I: Iterator,
+{
+ IntersperseWith {
+ peek: None,
+ iter: iter.fuse(),
+ element: elt,
+ }
+}
+
+impl<I, ElemF> Iterator for IntersperseWith<I, ElemF>
+where
+ I: Iterator,
+ ElemF: IntersperseElement<I::Item>,
+{
+ type Item = I::Item;
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ let Self {
+ element,
+ iter,
+ peek,
+ } = self;
+ match peek {
+ Some(item @ Some(_)) => item.take(),
+ Some(None) => match iter.next() {
+ new @ Some(_) => {
+ *peek = Some(new);
+ Some(element.generate())
+ }
+ None => None,
+ },
+ None => {
+ *peek = Some(None);
+ iter.next()
+ }
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let mut sh = self.iter.size_hint();
+ sh = size_hint::add(sh, sh);
+ match self.peek {
+ Some(Some(_)) => size_hint::add_scalar(sh, 1),
+ Some(None) => sh,
+ None => size_hint::sub_scalar(sh, 1),
+ }
+ }
+
+ fn fold<B, F>(self, init: B, mut f: F) -> B
+ where
+ Self: Sized,
+ F: FnMut(B, Self::Item) -> B,
+ {
+ let Self {
+ mut element,
+ mut iter,
+ peek,
+ } = self;
+ let mut accum = init;
+
+ if let Some(x) = peek.unwrap_or_else(|| iter.next()) {
+ accum = f(accum, x);
+ }
+
+ iter.fold(accum, |accum, x| {
+ let accum = f(accum, element.generate());
+ f(accum, x)
+ })
+ }
+}
+
+impl<I, ElemF> FusedIterator for IntersperseWith<I, ElemF>
+where
+ I: Iterator,
+ ElemF: IntersperseElement<I::Item>,
+{
+}
diff --git a/vendor/itertools/src/iter_index.rs b/vendor/itertools/src/iter_index.rs
new file mode 100644
index 00000000..aadaa72a
--- /dev/null
+++ b/vendor/itertools/src/iter_index.rs
@@ -0,0 +1,116 @@
+use core::iter::{Skip, Take};
+use core::ops::{Range, RangeFrom, RangeFull, RangeInclusive, RangeTo, RangeToInclusive};
+
+#[cfg(doc)]
+use crate::Itertools;
+
+mod private_iter_index {
+ use core::ops;
+
+ pub trait Sealed {}
+
+ impl Sealed for ops::Range<usize> {}
+ impl Sealed for ops::RangeInclusive<usize> {}
+ impl Sealed for ops::RangeTo<usize> {}
+ impl Sealed for ops::RangeToInclusive<usize> {}
+ impl Sealed for ops::RangeFrom<usize> {}
+ impl Sealed for ops::RangeFull {}
+}
+
+/// Used by [`Itertools::get`] to know which iterator
+/// to turn different ranges into.
+pub trait IteratorIndex<I>: private_iter_index::Sealed
+where
+ I: Iterator,
+{
+ /// The type returned for this type of index.
+ type Output: Iterator<Item = I::Item>;
+
+ /// Returns an adapted iterator for the current index.
+ ///
+ /// Prefer calling [`Itertools::get`] instead
+ /// of calling this directly.
+ fn index(self, from: I) -> Self::Output;
+}
+
+impl<I> IteratorIndex<I> for Range<usize>
+where
+ I: Iterator,
+{
+ type Output = Skip<Take<I>>;
+
+ fn index(self, iter: I) -> Self::Output {
+ iter.take(self.end).skip(self.start)
+ }
+}
+
+impl<I> IteratorIndex<I> for RangeInclusive<usize>
+where
+ I: Iterator,
+{
+ type Output = Take<Skip<I>>;
+
+ fn index(self, iter: I) -> Self::Output {
+ // end - start + 1 without overflowing if possible
+ let length = if *self.end() == usize::MAX {
+ assert_ne!(*self.start(), 0);
+ self.end() - self.start() + 1
+ } else {
+ (self.end() + 1).saturating_sub(*self.start())
+ };
+ iter.skip(*self.start()).take(length)
+ }
+}
+
+impl<I> IteratorIndex<I> for RangeTo<usize>
+where
+ I: Iterator,
+{
+ type Output = Take<I>;
+
+ fn index(self, iter: I) -> Self::Output {
+ iter.take(self.end)
+ }
+}
+
+impl<I> IteratorIndex<I> for RangeToInclusive<usize>
+where
+ I: Iterator,
+{
+ type Output = Take<I>;
+
+ fn index(self, iter: I) -> Self::Output {
+ assert_ne!(self.end, usize::MAX);
+ iter.take(self.end + 1)
+ }
+}
+
+impl<I> IteratorIndex<I> for RangeFrom<usize>
+where
+ I: Iterator,
+{
+ type Output = Skip<I>;
+
+ fn index(self, iter: I) -> Self::Output {
+ iter.skip(self.start)
+ }
+}
+
+impl<I> IteratorIndex<I> for RangeFull
+where
+ I: Iterator,
+{
+ type Output = I;
+
+ fn index(self, iter: I) -> Self::Output {
+ iter
+ }
+}
+
+pub fn get<I, R>(iter: I, index: R) -> R::Output
+where
+ I: IntoIterator,
+ R: IteratorIndex<I::IntoIter>,
+{
+ index.index(iter.into_iter())
+}
diff --git a/vendor/itertools/src/k_smallest.rs b/vendor/itertools/src/k_smallest.rs
new file mode 100644
index 00000000..7e4ace26
--- /dev/null
+++ b/vendor/itertools/src/k_smallest.rs
@@ -0,0 +1,138 @@
+use alloc::vec::Vec;
+use core::cmp::Ordering;
+
+/// Consumes a given iterator, returning the minimum elements in **ascending** order.
+pub(crate) fn k_smallest_general<I, F>(iter: I, k: usize, mut comparator: F) -> Vec<I::Item>
+where
+ I: Iterator,
+ F: FnMut(&I::Item, &I::Item) -> Ordering,
+{
+ /// Sift the element currently at `origin` away from the root until it is properly ordered.
+ ///
+ /// This will leave **larger** elements closer to the root of the heap.
+ fn sift_down<T, F>(heap: &mut [T], is_less_than: &mut F, mut origin: usize)
+ where
+ F: FnMut(&T, &T) -> bool,
+ {
+ #[inline]
+ fn children_of(n: usize) -> (usize, usize) {
+ (2 * n + 1, 2 * n + 2)
+ }
+
+ while origin < heap.len() {
+ let (left_idx, right_idx) = children_of(origin);
+ if left_idx >= heap.len() {
+ return;
+ }
+
+ let replacement_idx =
+ if right_idx < heap.len() && is_less_than(&heap[left_idx], &heap[right_idx]) {
+ right_idx
+ } else {
+ left_idx
+ };
+
+ if is_less_than(&heap[origin], &heap[replacement_idx]) {
+ heap.swap(origin, replacement_idx);
+ origin = replacement_idx;
+ } else {
+ return;
+ }
+ }
+ }
+
+ if k == 0 {
+ iter.last();
+ return Vec::new();
+ }
+ if k == 1 {
+ return iter.min_by(comparator).into_iter().collect();
+ }
+ let mut iter = iter.fuse();
+ let mut storage: Vec<I::Item> = iter.by_ref().take(k).collect();
+
+ let mut is_less_than = move |a: &_, b: &_| comparator(a, b) == Ordering::Less;
+
+ // Rearrange the storage into a valid heap by reordering from the second-bottom-most layer up to the root.
+ // Slightly faster than ordering on each insert, but only by a factor of lg(k).
+ // The resulting heap has the **largest** item on top.
+ for i in (0..=(storage.len() / 2)).rev() {
+ sift_down(&mut storage, &mut is_less_than, i);
+ }
+
+ iter.for_each(|val| {
+ debug_assert_eq!(storage.len(), k);
+ if is_less_than(&val, &storage[0]) {
+ // Treating this as an push-and-pop saves having to write a sift-up implementation.
+ // https://en.wikipedia.org/wiki/Binary_heap#Insert_then_extract
+ storage[0] = val;
+ // We retain the smallest items we've seen so far, but ordered largest first so we can drop the largest efficiently.
+ sift_down(&mut storage, &mut is_less_than, 0);
+ }
+ });
+
+ // Ultimately the items need to be in least-first, strict order, but the heap is currently largest-first.
+ // To achieve this, repeatedly,
+ // 1) "pop" the largest item off the heap into the tail slot of the underlying storage,
+ // 2) shrink the logical size of the heap by 1,
+ // 3) restore the heap property over the remaining items.
+ let mut heap = &mut storage[..];
+ while heap.len() > 1 {
+ let last_idx = heap.len() - 1;
+ heap.swap(0, last_idx);
+ // Sifting over a truncated slice means that the sifting will not disturb already popped elements.
+ heap = &mut heap[..last_idx];
+ sift_down(heap, &mut is_less_than, 0);
+ }
+
+ storage
+}
+
+pub(crate) fn k_smallest_relaxed_general<I, F>(iter: I, k: usize, mut comparator: F) -> Vec<I::Item>
+where
+ I: Iterator,
+ F: FnMut(&I::Item, &I::Item) -> Ordering,
+{
+ if k == 0 {
+ iter.last();
+ return Vec::new();
+ }
+
+ let mut iter = iter.fuse();
+ let mut buf = iter.by_ref().take(2 * k).collect::<Vec<_>>();
+
+ if buf.len() < k {
+ buf.sort_unstable_by(&mut comparator);
+ return buf;
+ }
+
+ buf.select_nth_unstable_by(k - 1, &mut comparator);
+ buf.truncate(k);
+
+ iter.for_each(|val| {
+ if comparator(&val, &buf[k - 1]) != Ordering::Less {
+ return;
+ }
+
+ assert_ne!(buf.len(), buf.capacity());
+ buf.push(val);
+
+ if buf.len() == 2 * k {
+ buf.select_nth_unstable_by(k - 1, &mut comparator);
+ buf.truncate(k);
+ }
+ });
+
+ buf.sort_unstable_by(&mut comparator);
+ buf.truncate(k);
+ buf
+}
+
+#[inline]
+pub(crate) fn key_to_cmp<T, K, F>(mut key: F) -> impl FnMut(&T, &T) -> Ordering
+where
+ F: FnMut(&T) -> K,
+ K: Ord,
+{
+ move |a, b| key(a).cmp(&key(b))
+}
diff --git a/vendor/itertools/src/kmerge_impl.rs b/vendor/itertools/src/kmerge_impl.rs
new file mode 100644
index 00000000..9ea73f9e
--- /dev/null
+++ b/vendor/itertools/src/kmerge_impl.rs
@@ -0,0 +1,239 @@
+use crate::size_hint;
+
+use alloc::vec::Vec;
+use std::fmt;
+use std::iter::FusedIterator;
+use std::mem::replace;
+
+/// Head element and Tail iterator pair
+///
+/// `PartialEq`, `Eq`, `PartialOrd` and `Ord` are implemented by comparing sequences based on
+/// first items (which are guaranteed to exist).
+///
+/// The meanings of `PartialOrd` and `Ord` are reversed so as to turn the heap used in
+/// `KMerge` into a min-heap.
+#[derive(Debug)]
+struct HeadTail<I>
+where
+ I: Iterator,
+{
+ head: I::Item,
+ tail: I,
+}
+
+impl<I> HeadTail<I>
+where
+ I: Iterator,
+{
+ /// Constructs a `HeadTail` from an `Iterator`. Returns `None` if the `Iterator` is empty.
+ fn new(mut it: I) -> Option<Self> {
+ let head = it.next();
+ head.map(|h| Self { head: h, tail: it })
+ }
+
+ /// Get the next element and update `head`, returning the old head in `Some`.
+ ///
+ /// Returns `None` when the tail is exhausted (only `head` then remains).
+ fn next(&mut self) -> Option<I::Item> {
+ if let Some(next) = self.tail.next() {
+ Some(replace(&mut self.head, next))
+ } else {
+ None
+ }
+ }
+
+ /// Hints at the size of the sequence, same as the `Iterator` method.
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ size_hint::add_scalar(self.tail.size_hint(), 1)
+ }
+}
+
+impl<I> Clone for HeadTail<I>
+where
+ I: Iterator + Clone,
+ I::Item: Clone,
+{
+ clone_fields!(head, tail);
+}
+
+/// Make `data` a heap (min-heap w.r.t the sorting).
+fn heapify<T, S>(data: &mut [T], mut less_than: S)
+where
+ S: FnMut(&T, &T) -> bool,
+{
+ for i in (0..data.len() / 2).rev() {
+ sift_down(data, i, &mut less_than);
+ }
+}
+
+/// Sift down element at `index` (`heap` is a min-heap wrt the ordering)
+fn sift_down<T, S>(heap: &mut [T], index: usize, mut less_than: S)
+where
+ S: FnMut(&T, &T) -> bool,
+{
+ debug_assert!(index <= heap.len());
+ let mut pos = index;
+ let mut child = 2 * pos + 1;
+ // Require the right child to be present
+ // This allows to find the index of the smallest child without a branch
+ // that wouldn't be predicted if present
+ while child + 1 < heap.len() {
+ // pick the smaller of the two children
+ // use arithmetic to avoid an unpredictable branch
+ child += less_than(&heap[child + 1], &heap[child]) as usize;
+
+ // sift down is done if we are already in order
+ if !less_than(&heap[child], &heap[pos]) {
+ return;
+ }
+ heap.swap(pos, child);
+ pos = child;
+ child = 2 * pos + 1;
+ }
+ // Check if the last (left) child was an only child
+ // if it is then it has to be compared with the parent
+ if child + 1 == heap.len() && less_than(&heap[child], &heap[pos]) {
+ heap.swap(pos, child);
+ }
+}
+
+/// An iterator adaptor that merges an abitrary number of base iterators in ascending order.
+/// If all base iterators are sorted (ascending), the result is sorted.
+///
+/// Iterator element type is `I::Item`.
+///
+/// See [`.kmerge()`](crate::Itertools::kmerge) for more information.
+pub type KMerge<I> = KMergeBy<I, KMergeByLt>;
+
+pub trait KMergePredicate<T> {
+ fn kmerge_pred(&mut self, a: &T, b: &T) -> bool;
+}
+
+#[derive(Clone, Debug)]
+pub struct KMergeByLt;
+
+impl<T: PartialOrd> KMergePredicate<T> for KMergeByLt {
+ fn kmerge_pred(&mut self, a: &T, b: &T) -> bool {
+ a < b
+ }
+}
+
+impl<T, F: FnMut(&T, &T) -> bool> KMergePredicate<T> for F {
+ fn kmerge_pred(&mut self, a: &T, b: &T) -> bool {
+ self(a, b)
+ }
+}
+
+/// Create an iterator that merges elements of the contained iterators using
+/// the ordering function.
+///
+/// [`IntoIterator`] enabled version of [`Itertools::kmerge`](crate::Itertools::kmerge).
+///
+/// ```
+/// use itertools::kmerge;
+///
+/// for elt in kmerge(vec![vec![0, 2, 4], vec![1, 3, 5], vec![6, 7]]) {
+/// /* loop body */
+/// # let _ = elt;
+/// }
+/// ```
+pub fn kmerge<I>(iterable: I) -> KMerge<<I::Item as IntoIterator>::IntoIter>
+where
+ I: IntoIterator,
+ I::Item: IntoIterator,
+ <<I as IntoIterator>::Item as IntoIterator>::Item: PartialOrd,
+{
+ kmerge_by(iterable, KMergeByLt)
+}
+
+/// An iterator adaptor that merges an abitrary number of base iterators
+/// according to an ordering function.
+///
+/// Iterator element type is `I::Item`.
+///
+/// See [`.kmerge_by()`](crate::Itertools::kmerge_by) for more
+/// information.
+#[must_use = "this iterator adaptor is not lazy but does nearly nothing unless consumed"]
+pub struct KMergeBy<I, F>
+where
+ I: Iterator,
+{
+ heap: Vec<HeadTail<I>>,
+ less_than: F,
+}
+
+impl<I, F> fmt::Debug for KMergeBy<I, F>
+where
+ I: Iterator + fmt::Debug,
+ I::Item: fmt::Debug,
+{
+ debug_fmt_fields!(KMergeBy, heap);
+}
+
+/// Create an iterator that merges elements of the contained iterators.
+///
+/// [`IntoIterator`] enabled version of [`Itertools::kmerge_by`](crate::Itertools::kmerge_by).
+pub fn kmerge_by<I, F>(
+ iterable: I,
+ mut less_than: F,
+) -> KMergeBy<<I::Item as IntoIterator>::IntoIter, F>
+where
+ I: IntoIterator,
+ I::Item: IntoIterator,
+ F: KMergePredicate<<<I as IntoIterator>::Item as IntoIterator>::Item>,
+{
+ let iter = iterable.into_iter();
+ let (lower, _) = iter.size_hint();
+ let mut heap: Vec<_> = Vec::with_capacity(lower);
+ heap.extend(iter.filter_map(|it| HeadTail::new(it.into_iter())));
+ heapify(&mut heap, |a, b| less_than.kmerge_pred(&a.head, &b.head));
+ KMergeBy { heap, less_than }
+}
+
+impl<I, F> Clone for KMergeBy<I, F>
+where
+ I: Iterator + Clone,
+ I::Item: Clone,
+ F: Clone,
+{
+ clone_fields!(heap, less_than);
+}
+
+impl<I, F> Iterator for KMergeBy<I, F>
+where
+ I: Iterator,
+ F: KMergePredicate<I::Item>,
+{
+ type Item = I::Item;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ if self.heap.is_empty() {
+ return None;
+ }
+ let result = if let Some(next) = self.heap[0].next() {
+ next
+ } else {
+ self.heap.swap_remove(0).head
+ };
+ let less_than = &mut self.less_than;
+ sift_down(&mut self.heap, 0, |a, b| {
+ less_than.kmerge_pred(&a.head, &b.head)
+ });
+ Some(result)
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ self.heap
+ .iter()
+ .map(|i| i.size_hint())
+ .reduce(size_hint::add)
+ .unwrap_or((0, Some(0)))
+ }
+}
+
+impl<I, F> FusedIterator for KMergeBy<I, F>
+where
+ I: Iterator,
+ F: KMergePredicate<I::Item>,
+{
+}
diff --git a/vendor/itertools/src/lazy_buffer.rs b/vendor/itertools/src/lazy_buffer.rs
new file mode 100644
index 00000000..fafa5f72
--- /dev/null
+++ b/vendor/itertools/src/lazy_buffer.rs
@@ -0,0 +1,79 @@
+use alloc::vec::Vec;
+use std::iter::Fuse;
+use std::ops::Index;
+
+use crate::size_hint::{self, SizeHint};
+
+#[derive(Debug, Clone)]
+pub struct LazyBuffer<I: Iterator> {
+ it: Fuse<I>,
+ buffer: Vec<I::Item>,
+}
+
+impl<I> LazyBuffer<I>
+where
+ I: Iterator,
+{
+ pub fn new(it: I) -> Self {
+ Self {
+ it: it.fuse(),
+ buffer: Vec::new(),
+ }
+ }
+
+ pub fn len(&self) -> usize {
+ self.buffer.len()
+ }
+
+ pub fn size_hint(&self) -> SizeHint {
+ size_hint::add_scalar(self.it.size_hint(), self.len())
+ }
+
+ pub fn count(self) -> usize {
+ self.len() + self.it.count()
+ }
+
+ pub fn get_next(&mut self) -> bool {
+ if let Some(x) = self.it.next() {
+ self.buffer.push(x);
+ true
+ } else {
+ false
+ }
+ }
+
+ pub fn prefill(&mut self, len: usize) {
+ let buffer_len = self.buffer.len();
+ if len > buffer_len {
+ let delta = len - buffer_len;
+ self.buffer.extend(self.it.by_ref().take(delta));
+ }
+ }
+}
+
+impl<I> LazyBuffer<I>
+where
+ I: Iterator,
+ I::Item: Clone,
+{
+ pub fn get_at(&self, indices: &[usize]) -> Vec<I::Item> {
+ indices.iter().map(|i| self.buffer[*i].clone()).collect()
+ }
+
+ pub fn get_array<const K: usize>(&self, indices: [usize; K]) -> [I::Item; K] {
+ indices.map(|i| self.buffer[i].clone())
+ }
+}
+
+impl<I, J> Index<J> for LazyBuffer<I>
+where
+ I: Iterator,
+ I::Item: Sized,
+ Vec<I::Item>: Index<J>,
+{
+ type Output = <Vec<I::Item> as Index<J>>::Output;
+
+ fn index(&self, index: J) -> &Self::Output {
+ self.buffer.index(index)
+ }
+}
diff --git a/vendor/itertools/src/lib.rs b/vendor/itertools/src/lib.rs
new file mode 100644
index 00000000..20226d88
--- /dev/null
+++ b/vendor/itertools/src/lib.rs
@@ -0,0 +1,4713 @@
+#![warn(missing_docs, clippy::default_numeric_fallback)]
+#![crate_name = "itertools"]
+#![cfg_attr(not(feature = "use_std"), no_std)]
+#![doc(test(attr(deny(warnings), allow(deprecated, unstable_name_collisions))))]
+
+//! Extra iterator adaptors, functions and macros.
+//!
+//! To extend [`Iterator`] with methods in this crate, import
+//! the [`Itertools`] trait:
+//!
+//! ```
+//! # #[allow(unused_imports)]
+//! use itertools::Itertools;
+//! ```
+//!
+//! Now, new methods like [`interleave`](Itertools::interleave)
+//! are available on all iterators:
+//!
+//! ```
+//! use itertools::Itertools;
+//!
+//! let it = (1..3).interleave(vec![-1, -2]);
+//! itertools::assert_equal(it, vec![1, -1, 2, -2]);
+//! ```
+//!
+//! Most iterator methods are also provided as functions (with the benefit
+//! that they convert parameters using [`IntoIterator`]):
+//!
+//! ```
+//! use itertools::interleave;
+//!
+//! for elt in interleave(&[1, 2, 3], &[2, 3, 4]) {
+//! /* loop body */
+//! # let _ = elt;
+//! }
+//! ```
+//!
+//! ## Crate Features
+//!
+//! - `use_std`
+//! - Enabled by default.
+//! - Disable to compile itertools using `#![no_std]`. This disables
+//! any item that depend on allocations (see the `use_alloc` feature)
+//! and hash maps (like `unique`, `counts`, `into_grouping_map` and more).
+//! - `use_alloc`
+//! - Enabled by default.
+//! - Enables any item that depend on allocations (like `chunk_by`,
+//! `kmerge`, `join` and many more).
+//!
+//! ## Rust Version
+//!
+//! This version of itertools requires Rust 1.63.0 or later.
+
+#[cfg(not(feature = "use_std"))]
+extern crate core as std;
+
+#[cfg(feature = "use_alloc")]
+extern crate alloc;
+
+#[cfg(feature = "use_alloc")]
+use alloc::{collections::VecDeque, string::String, vec::Vec};
+
+pub use either::Either;
+
+use core::borrow::Borrow;
+use std::cmp::Ordering;
+#[cfg(feature = "use_std")]
+use std::collections::HashMap;
+#[cfg(feature = "use_std")]
+use std::collections::HashSet;
+use std::fmt;
+#[cfg(feature = "use_alloc")]
+use std::fmt::Write;
+#[cfg(feature = "use_std")]
+use std::hash::Hash;
+use std::iter::{once, IntoIterator};
+#[cfg(feature = "use_alloc")]
+type VecDequeIntoIter<T> = alloc::collections::vec_deque::IntoIter<T>;
+#[cfg(feature = "use_alloc")]
+type VecIntoIter<T> = alloc::vec::IntoIter<T>;
+use std::iter::FromIterator;
+
+#[macro_use]
+mod impl_macros;
+
+// for compatibility with no std and macros
+#[doc(hidden)]
+pub use std::iter as __std_iter;
+
+/// The concrete iterator types.
+pub mod structs {
+ #[cfg(feature = "use_alloc")]
+ pub use crate::adaptors::MultiProduct;
+ pub use crate::adaptors::{
+ Batching, Coalesce, Dedup, DedupBy, DedupByWithCount, DedupWithCount, FilterMapOk,
+ FilterOk, Interleave, InterleaveShortest, MapInto, MapOk, Positions, Product, PutBack,
+ TakeWhileRef, TupleCombinations, Update, WhileSome,
+ };
+ #[cfg(feature = "use_alloc")]
+ pub use crate::combinations::{ArrayCombinations, Combinations};
+ #[cfg(feature = "use_alloc")]
+ pub use crate::combinations_with_replacement::CombinationsWithReplacement;
+ pub use crate::cons_tuples_impl::ConsTuples;
+ #[cfg(feature = "use_std")]
+ pub use crate::duplicates_impl::{Duplicates, DuplicatesBy};
+ pub use crate::exactly_one_err::ExactlyOneError;
+ pub use crate::flatten_ok::FlattenOk;
+ pub use crate::format::{Format, FormatWith};
+ #[allow(deprecated)]
+ #[cfg(feature = "use_alloc")]
+ pub use crate::groupbylazy::GroupBy;
+ #[cfg(feature = "use_alloc")]
+ pub use crate::groupbylazy::{Chunk, ChunkBy, Chunks, Group, Groups, IntoChunks};
+ #[cfg(feature = "use_std")]
+ pub use crate::grouping_map::{GroupingMap, GroupingMapBy};
+ pub use crate::intersperse::{Intersperse, IntersperseWith};
+ #[cfg(feature = "use_alloc")]
+ pub use crate::kmerge_impl::{KMerge, KMergeBy};
+ pub use crate::merge_join::{Merge, MergeBy, MergeJoinBy};
+ #[cfg(feature = "use_alloc")]
+ pub use crate::multipeek_impl::MultiPeek;
+ pub use crate::pad_tail::PadUsing;
+ #[cfg(feature = "use_alloc")]
+ pub use crate::peek_nth::PeekNth;
+ pub use crate::peeking_take_while::PeekingTakeWhile;
+ #[cfg(feature = "use_alloc")]
+ pub use crate::permutations::Permutations;
+ #[cfg(feature = "use_alloc")]
+ pub use crate::powerset::Powerset;
+ pub use crate::process_results_impl::ProcessResults;
+ #[cfg(feature = "use_alloc")]
+ pub use crate::put_back_n_impl::PutBackN;
+ #[cfg(feature = "use_alloc")]
+ pub use crate::rciter_impl::RcIter;
+ pub use crate::repeatn::RepeatN;
+ #[allow(deprecated)]
+ pub use crate::sources::{Iterate, Unfold};
+ pub use crate::take_while_inclusive::TakeWhileInclusive;
+ #[cfg(feature = "use_alloc")]
+ pub use crate::tee::Tee;
+ pub use crate::tuple_impl::{CircularTupleWindows, TupleBuffer, TupleWindows, Tuples};
+ #[cfg(feature = "use_std")]
+ pub use crate::unique_impl::{Unique, UniqueBy};
+ pub use crate::with_position::WithPosition;
+ pub use crate::zip_eq_impl::ZipEq;
+ pub use crate::zip_longest::ZipLongest;
+ pub use crate::ziptuple::Zip;
+}
+
+/// Traits helpful for using certain `Itertools` methods in generic contexts.
+pub mod traits {
+ pub use crate::iter_index::IteratorIndex;
+ pub use crate::tuple_impl::HomogeneousTuple;
+}
+
+pub use crate::concat_impl::concat;
+pub use crate::cons_tuples_impl::cons_tuples;
+pub use crate::diff::diff_with;
+pub use crate::diff::Diff;
+#[cfg(feature = "use_alloc")]
+pub use crate::kmerge_impl::kmerge_by;
+pub use crate::minmax::MinMaxResult;
+pub use crate::peeking_take_while::PeekingNext;
+pub use crate::process_results_impl::process_results;
+pub use crate::repeatn::repeat_n;
+#[allow(deprecated)]
+pub use crate::sources::{iterate, unfold};
+#[allow(deprecated)]
+pub use crate::structs::*;
+pub use crate::unziptuple::{multiunzip, MultiUnzip};
+pub use crate::with_position::Position;
+pub use crate::ziptuple::multizip;
+mod adaptors;
+mod either_or_both;
+pub use crate::either_or_both::EitherOrBoth;
+#[doc(hidden)]
+pub mod free;
+#[doc(inline)]
+pub use crate::free::*;
+#[cfg(feature = "use_alloc")]
+mod combinations;
+#[cfg(feature = "use_alloc")]
+mod combinations_with_replacement;
+mod concat_impl;
+mod cons_tuples_impl;
+mod diff;
+#[cfg(feature = "use_std")]
+mod duplicates_impl;
+mod exactly_one_err;
+#[cfg(feature = "use_alloc")]
+mod extrema_set;
+mod flatten_ok;
+mod format;
+#[cfg(feature = "use_alloc")]
+mod group_map;
+#[cfg(feature = "use_alloc")]
+mod groupbylazy;
+#[cfg(feature = "use_std")]
+mod grouping_map;
+mod intersperse;
+mod iter_index;
+#[cfg(feature = "use_alloc")]
+mod k_smallest;
+#[cfg(feature = "use_alloc")]
+mod kmerge_impl;
+#[cfg(feature = "use_alloc")]
+mod lazy_buffer;
+mod merge_join;
+mod minmax;
+#[cfg(feature = "use_alloc")]
+mod multipeek_impl;
+mod next_array;
+mod pad_tail;
+#[cfg(feature = "use_alloc")]
+mod peek_nth;
+mod peeking_take_while;
+#[cfg(feature = "use_alloc")]
+mod permutations;
+#[cfg(feature = "use_alloc")]
+mod powerset;
+mod process_results_impl;
+#[cfg(feature = "use_alloc")]
+mod put_back_n_impl;
+#[cfg(feature = "use_alloc")]
+mod rciter_impl;
+mod repeatn;
+mod size_hint;
+mod sources;
+mod take_while_inclusive;
+#[cfg(feature = "use_alloc")]
+mod tee;
+mod tuple_impl;
+#[cfg(feature = "use_std")]
+mod unique_impl;
+mod unziptuple;
+mod with_position;
+mod zip_eq_impl;
+mod zip_longest;
+mod ziptuple;
+
+#[macro_export]
+/// Create an iterator over the “cartesian product” of iterators.
+///
+/// Iterator element type is like `(A, B, ..., E)` if formed
+/// from iterators `(I, J, ..., M)` with element types `I::Item = A`, `J::Item = B`, etc.
+///
+/// ```
+/// # use itertools::iproduct;
+/// #
+/// # fn main() {
+/// // Iterate over the coordinates of a 4 x 4 x 4 grid
+/// // from (0, 0, 0), (0, 0, 1), .., (0, 1, 0), (0, 1, 1), .. etc until (3, 3, 3)
+/// for (i, j, k) in iproduct!(0..4, 0..4, 0..4) {
+/// // ..
+/// # let _ = (i, j, k);
+/// }
+/// # }
+/// ```
+macro_rules! iproduct {
+ (@flatten $I:expr,) => (
+ $I
+ );
+ (@flatten $I:expr, $J:expr, $($K:expr,)*) => (
+ $crate::iproduct!(@flatten $crate::cons_tuples($crate::iproduct!($I, $J)), $($K,)*)
+ );
+ () => (
+ $crate::__std_iter::once(())
+ );
+ ($I:expr $(,)?) => (
+ $crate::__std_iter::Iterator::map(
+ $crate::__std_iter::IntoIterator::into_iter($I),
+ |elt| (elt,)
+ )
+ );
+ ($I:expr, $J:expr $(,)?) => (
+ $crate::Itertools::cartesian_product(
+ $crate::__std_iter::IntoIterator::into_iter($I),
+ $crate::__std_iter::IntoIterator::into_iter($J),
+ )
+ );
+ ($I:expr, $J:expr, $($K:expr),+ $(,)?) => (
+ $crate::iproduct!(@flatten $crate::iproduct!($I, $J), $($K,)+)
+ );
+}
+
+#[macro_export]
+/// Create an iterator running multiple iterators in lockstep.
+///
+/// The `izip!` iterator yields elements until any subiterator
+/// returns `None`.
+///
+/// This is a version of the standard ``.zip()`` that's supporting more than
+/// two iterators. The iterator element type is a tuple with one element
+/// from each of the input iterators. Just like ``.zip()``, the iteration stops
+/// when the shortest of the inputs reaches its end.
+///
+/// **Note:** The result of this macro is in the general case an iterator
+/// composed of repeated `.zip()` and a `.map()`; it has an anonymous type.
+/// The special cases of one and two arguments produce the equivalent of
+/// `$a.into_iter()` and `$a.into_iter().zip($b)` respectively.
+///
+/// Prefer this macro `izip!()` over [`multizip`] for the performance benefits
+/// of using the standard library `.zip()`.
+///
+/// ```
+/// # use itertools::izip;
+/// #
+/// # fn main() {
+///
+/// // iterate over three sequences side-by-side
+/// let mut results = [0, 0, 0, 0];
+/// let inputs = [3, 7, 9, 6];
+///
+/// for (r, index, input) in izip!(&mut results, 0..10, &inputs) {
+/// *r = index * 10 + input;
+/// }
+///
+/// assert_eq!(results, [0 + 3, 10 + 7, 29, 36]);
+/// # }
+/// ```
+macro_rules! izip {
+ // @closure creates a tuple-flattening closure for .map() call. usage:
+ // @closure partial_pattern => partial_tuple , rest , of , iterators
+ // eg. izip!( @closure ((a, b), c) => (a, b, c) , dd , ee )
+ ( @closure $p:pat => $tup:expr ) => {
+ |$p| $tup
+ };
+
+ // The "b" identifier is a different identifier on each recursion level thanks to hygiene.
+ ( @closure $p:pat => ( $($tup:tt)* ) , $_iter:expr $( , $tail:expr )* ) => {
+ $crate::izip!(@closure ($p, b) => ( $($tup)*, b ) $( , $tail )*)
+ };
+
+ // unary
+ ($first:expr $(,)*) => {
+ $crate::__std_iter::IntoIterator::into_iter($first)
+ };
+
+ // binary
+ ($first:expr, $second:expr $(,)*) => {
+ $crate::__std_iter::Iterator::zip(
+ $crate::__std_iter::IntoIterator::into_iter($first),
+ $second,
+ )
+ };
+
+ // n-ary where n > 2
+ ( $first:expr $( , $rest:expr )* $(,)* ) => {
+ {
+ let iter = $crate::__std_iter::IntoIterator::into_iter($first);
+ $(
+ let iter = $crate::__std_iter::Iterator::zip(iter, $rest);
+ )*
+ $crate::__std_iter::Iterator::map(
+ iter,
+ $crate::izip!(@closure a => (a) $( , $rest )*)
+ )
+ }
+ };
+}
+
+#[macro_export]
+/// [Chain][`chain`] zero or more iterators together into one sequence.
+///
+/// The comma-separated arguments must implement [`IntoIterator`].
+/// The final argument may be followed by a trailing comma.
+///
+/// [`chain`]: Iterator::chain
+///
+/// # Examples
+///
+/// Empty invocations of `chain!` expand to an invocation of [`std::iter::empty`]:
+/// ```
+/// use std::iter;
+/// use itertools::chain;
+///
+/// let _: iter::Empty<()> = chain!();
+/// let _: iter::Empty<i8> = chain!();
+/// ```
+///
+/// Invocations of `chain!` with one argument expand to [`arg.into_iter()`](IntoIterator):
+/// ```
+/// use std::ops::Range;
+/// use itertools::chain;
+/// let _: <Range<_> as IntoIterator>::IntoIter = chain!(2..6,); // trailing comma optional!
+/// let _: <&[_] as IntoIterator>::IntoIter = chain!(&[2, 3, 4]);
+/// ```
+///
+/// Invocations of `chain!` with multiple arguments [`.into_iter()`](IntoIterator) each
+/// argument, and then [`chain`] them together:
+/// ```
+/// use std::{iter::*, slice};
+/// use itertools::{assert_equal, chain};
+///
+/// // e.g., this:
+/// let with_macro: Chain<Chain<Once<_>, Take<Repeat<_>>>, slice::Iter<_>> =
+/// chain![once(&0), repeat(&1).take(2), &[2, 3, 5],];
+///
+/// // ...is equivalent to this:
+/// let with_method: Chain<Chain<Once<_>, Take<Repeat<_>>>, slice::Iter<_>> =
+/// once(&0)
+/// .chain(repeat(&1).take(2))
+/// .chain(&[2, 3, 5]);
+///
+/// assert_equal(with_macro, with_method);
+/// ```
+macro_rules! chain {
+ () => {
+ $crate::__std_iter::empty()
+ };
+ ($first:expr $(, $rest:expr )* $(,)?) => {
+ {
+ let iter = $crate::__std_iter::IntoIterator::into_iter($first);
+ $(
+ let iter =
+ $crate::__std_iter::Iterator::chain(
+ iter,
+ $crate::__std_iter::IntoIterator::into_iter($rest));
+ )*
+ iter
+ }
+ };
+}
+
+/// An [`Iterator`] blanket implementation that provides extra adaptors and
+/// methods.
+///
+/// This trait defines a number of methods. They are divided into two groups:
+///
+/// * *Adaptors* take an iterator and parameter as input, and return
+/// a new iterator value. These are listed first in the trait. An example
+/// of an adaptor is [`.interleave()`](Itertools::interleave)
+///
+/// * *Regular methods* are those that don't return iterators and instead
+/// return a regular value of some other kind.
+/// [`.next_tuple()`](Itertools::next_tuple) is an example and the first regular
+/// method in the list.
+pub trait Itertools: Iterator {
+ // adaptors
+
+ /// Alternate elements from two iterators until both have run out.
+ ///
+ /// Iterator element type is `Self::Item`.
+ ///
+ /// This iterator is *fused*.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let it = (1..7).interleave(vec![-1, -2]);
+ /// itertools::assert_equal(it, vec![1, -1, 2, -2, 3, 4, 5, 6]);
+ /// ```
+ fn interleave<J>(self, other: J) -> Interleave<Self, J::IntoIter>
+ where
+ J: IntoIterator<Item = Self::Item>,
+ Self: Sized,
+ {
+ interleave(self, other)
+ }
+
+ /// Alternate elements from two iterators until at least one of them has run
+ /// out.
+ ///
+ /// Iterator element type is `Self::Item`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let it = (1..7).interleave_shortest(vec![-1, -2]);
+ /// itertools::assert_equal(it, vec![1, -1, 2, -2, 3]);
+ /// ```
+ fn interleave_shortest<J>(self, other: J) -> InterleaveShortest<Self, J::IntoIter>
+ where
+ J: IntoIterator<Item = Self::Item>,
+ Self: Sized,
+ {
+ adaptors::interleave_shortest(self, other.into_iter())
+ }
+
+ /// An iterator adaptor to insert a particular value
+ /// between each element of the adapted iterator.
+ ///
+ /// Iterator element type is `Self::Item`.
+ ///
+ /// This iterator is *fused*.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// itertools::assert_equal((0..3).intersperse(8), vec![0, 8, 1, 8, 2]);
+ /// ```
+ fn intersperse(self, element: Self::Item) -> Intersperse<Self>
+ where
+ Self: Sized,
+ Self::Item: Clone,
+ {
+ intersperse::intersperse(self, element)
+ }
+
+ /// An iterator adaptor to insert a particular value created by a function
+ /// between each element of the adapted iterator.
+ ///
+ /// Iterator element type is `Self::Item`.
+ ///
+ /// This iterator is *fused*.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let mut i = 10;
+ /// itertools::assert_equal((0..3).intersperse_with(|| { i -= 1; i }), vec![0, 9, 1, 8, 2]);
+ /// assert_eq!(i, 8);
+ /// ```
+ fn intersperse_with<F>(self, element: F) -> IntersperseWith<Self, F>
+ where
+ Self: Sized,
+ F: FnMut() -> Self::Item,
+ {
+ intersperse::intersperse_with(self, element)
+ }
+
+ /// Returns an iterator over a subsection of the iterator.
+ ///
+ /// Works similarly to [`slice::get`](https://doc.rust-lang.org/std/primitive.slice.html#method.get).
+ ///
+ /// **Panics** for ranges `..=usize::MAX` and `0..=usize::MAX`.
+ ///
+ /// It's a generalisation of [`Iterator::take`] and [`Iterator::skip`],
+ /// and uses these under the hood.
+ /// Therefore, the resulting iterator is:
+ /// - [`ExactSizeIterator`] if the adapted iterator is [`ExactSizeIterator`].
+ /// - [`DoubleEndedIterator`] if the adapted iterator is [`DoubleEndedIterator`] and [`ExactSizeIterator`].
+ ///
+ /// # Unspecified Behavior
+ /// The result of indexing with an exhausted [`core::ops::RangeInclusive`] is unspecified.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let vec = vec![3, 1, 4, 1, 5];
+ ///
+ /// let mut range: Vec<_> =
+ /// vec.iter().get(1..=3).copied().collect();
+ /// assert_eq!(&range, &[1, 4, 1]);
+ ///
+ /// // It works with other types of ranges, too
+ /// range = vec.iter().get(..2).copied().collect();
+ /// assert_eq!(&range, &[3, 1]);
+ ///
+ /// range = vec.iter().get(0..1).copied().collect();
+ /// assert_eq!(&range, &[3]);
+ ///
+ /// range = vec.iter().get(2..).copied().collect();
+ /// assert_eq!(&range, &[4, 1, 5]);
+ ///
+ /// range = vec.iter().get(..=2).copied().collect();
+ /// assert_eq!(&range, &[3, 1, 4]);
+ ///
+ /// range = vec.iter().get(..).copied().collect();
+ /// assert_eq!(range, vec);
+ /// ```
+ fn get<R>(self, index: R) -> R::Output
+ where
+ Self: Sized,
+ R: traits::IteratorIndex<Self>,
+ {
+ iter_index::get(self, index)
+ }
+
+ /// Create an iterator which iterates over both this and the specified
+ /// iterator simultaneously, yielding pairs of two optional elements.
+ ///
+ /// This iterator is *fused*.
+ ///
+ /// As long as neither input iterator is exhausted yet, it yields two values
+ /// via `EitherOrBoth::Both`.
+ ///
+ /// When the parameter iterator is exhausted, it only yields a value from the
+ /// `self` iterator via `EitherOrBoth::Left`.
+ ///
+ /// When the `self` iterator is exhausted, it only yields a value from the
+ /// parameter iterator via `EitherOrBoth::Right`.
+ ///
+ /// When both iterators return `None`, all further invocations of `.next()`
+ /// will return `None`.
+ ///
+ /// Iterator element type is
+ /// [`EitherOrBoth<Self::Item, J::Item>`](EitherOrBoth).
+ ///
+ /// ```rust
+ /// use itertools::EitherOrBoth::{Both, Right};
+ /// use itertools::Itertools;
+ /// let it = (0..1).zip_longest(1..3);
+ /// itertools::assert_equal(it, vec![Both(0, 1), Right(2)]);
+ /// ```
+ #[inline]
+ fn zip_longest<J>(self, other: J) -> ZipLongest<Self, J::IntoIter>
+ where
+ J: IntoIterator,
+ Self: Sized,
+ {
+ zip_longest::zip_longest(self, other.into_iter())
+ }
+
+ /// Create an iterator which iterates over both this and the specified
+ /// iterator simultaneously, yielding pairs of elements.
+ ///
+ /// **Panics** if the iterators reach an end and they are not of equal
+ /// lengths.
+ #[inline]
+ fn zip_eq<J>(self, other: J) -> ZipEq<Self, J::IntoIter>
+ where
+ J: IntoIterator,
+ Self: Sized,
+ {
+ zip_eq(self, other)
+ }
+
+ /// A “meta iterator adaptor”. Its closure receives a reference to the
+ /// iterator and may pick off as many elements as it likes, to produce the
+ /// next iterator element.
+ ///
+ /// Iterator element type is `B`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // An adaptor that gathers elements in pairs
+ /// let pit = (0..4).batching(|it| {
+ /// match it.next() {
+ /// None => None,
+ /// Some(x) => match it.next() {
+ /// None => None,
+ /// Some(y) => Some((x, y)),
+ /// }
+ /// }
+ /// });
+ ///
+ /// itertools::assert_equal(pit, vec![(0, 1), (2, 3)]);
+ /// ```
+ ///
+ fn batching<B, F>(self, f: F) -> Batching<Self, F>
+ where
+ F: FnMut(&mut Self) -> Option<B>,
+ Self: Sized,
+ {
+ adaptors::batching(self, f)
+ }
+
+ /// Return an *iterable* that can group iterator elements.
+ /// Consecutive elements that map to the same key (“runs”), are assigned
+ /// to the same group.
+ ///
+ /// `ChunkBy` is the storage for the lazy grouping operation.
+ ///
+ /// If the groups are consumed in order, or if each group's iterator is
+ /// dropped without keeping it around, then `ChunkBy` uses no
+ /// allocations. It needs allocations only if several group iterators
+ /// are alive at the same time.
+ ///
+ /// This type implements [`IntoIterator`] (it is **not** an iterator
+ /// itself), because the group iterators need to borrow from this
+ /// value. It should be stored in a local variable or temporary and
+ /// iterated.
+ ///
+ /// Iterator element type is `(K, Group)`: the group's key and the
+ /// group iterator.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // chunk data into runs of larger than zero or not.
+ /// let data = vec![1, 3, -2, -2, 1, 0, 1, 2];
+ /// // chunks: |---->|------>|--------->|
+ ///
+ /// // Note: The `&` is significant here, `ChunkBy` is iterable
+ /// // only by reference. You can also call `.into_iter()` explicitly.
+ /// let mut data_grouped = Vec::new();
+ /// for (key, chunk) in &data.into_iter().chunk_by(|elt| *elt >= 0) {
+ /// data_grouped.push((key, chunk.collect()));
+ /// }
+ /// assert_eq!(data_grouped, vec![(true, vec![1, 3]), (false, vec![-2, -2]), (true, vec![1, 0, 1, 2])]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn chunk_by<K, F>(self, key: F) -> ChunkBy<K, Self, F>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item) -> K,
+ K: PartialEq,
+ {
+ groupbylazy::new(self, key)
+ }
+
+ /// See [`.chunk_by()`](Itertools::chunk_by).
+ #[deprecated(note = "Use .chunk_by() instead", since = "0.13.0")]
+ #[cfg(feature = "use_alloc")]
+ fn group_by<K, F>(self, key: F) -> ChunkBy<K, Self, F>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item) -> K,
+ K: PartialEq,
+ {
+ self.chunk_by(key)
+ }
+
+ /// Return an *iterable* that can chunk the iterator.
+ ///
+ /// Yield subiterators (chunks) that each yield a fixed number elements,
+ /// determined by `size`. The last chunk will be shorter if there aren't
+ /// enough elements.
+ ///
+ /// `IntoChunks` is based on `ChunkBy`: it is iterable (implements
+ /// `IntoIterator`, **not** `Iterator`), and it only buffers if several
+ /// chunk iterators are alive at the same time.
+ ///
+ /// Iterator element type is `Chunk`, each chunk's iterator.
+ ///
+ /// **Panics** if `size` is 0.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec![1, 1, 2, -2, 6, 0, 3, 1];
+ /// //chunk size=3 |------->|-------->|--->|
+ ///
+ /// // Note: The `&` is significant here, `IntoChunks` is iterable
+ /// // only by reference. You can also call `.into_iter()` explicitly.
+ /// for chunk in &data.into_iter().chunks(3) {
+ /// // Check that the sum of each chunk is 4.
+ /// assert_eq!(4, chunk.sum());
+ /// }
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn chunks(self, size: usize) -> IntoChunks<Self>
+ where
+ Self: Sized,
+ {
+ assert!(size != 0);
+ groupbylazy::new_chunks(self, size)
+ }
+
+ /// Return an iterator over all contiguous windows producing tuples of
+ /// a specific size (up to 12).
+ ///
+ /// `tuple_windows` clones the iterator elements so that they can be
+ /// part of successive windows, this makes it most suited for iterators
+ /// of references and other values that are cheap to copy.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// let mut v = Vec::new();
+ ///
+ /// // pairwise iteration
+ /// for (a, b) in (1..5).tuple_windows() {
+ /// v.push((a, b));
+ /// }
+ /// assert_eq!(v, vec![(1, 2), (2, 3), (3, 4)]);
+ ///
+ /// let mut it = (1..5).tuple_windows();
+ /// assert_eq!(Some((1, 2, 3)), it.next());
+ /// assert_eq!(Some((2, 3, 4)), it.next());
+ /// assert_eq!(None, it.next());
+ ///
+ /// // this requires a type hint
+ /// let it = (1..5).tuple_windows::<(_, _, _)>();
+ /// itertools::assert_equal(it, vec![(1, 2, 3), (2, 3, 4)]);
+ ///
+ /// // you can also specify the complete type
+ /// use itertools::TupleWindows;
+ /// use std::ops::Range;
+ ///
+ /// let it: TupleWindows<Range<u32>, (u32, u32, u32)> = (1..5).tuple_windows();
+ /// itertools::assert_equal(it, vec![(1, 2, 3), (2, 3, 4)]);
+ /// ```
+ fn tuple_windows<T>(self) -> TupleWindows<Self, T>
+ where
+ Self: Sized + Iterator<Item = T::Item>,
+ T: traits::HomogeneousTuple,
+ T::Item: Clone,
+ {
+ tuple_impl::tuple_windows(self)
+ }
+
+ /// Return an iterator over all windows, wrapping back to the first
+ /// elements when the window would otherwise exceed the length of the
+ /// iterator, producing tuples of a specific size (up to 12).
+ ///
+ /// `circular_tuple_windows` clones the iterator elements so that they can be
+ /// part of successive windows, this makes it most suited for iterators
+ /// of references and other values that are cheap to copy.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// let mut v = Vec::new();
+ /// for (a, b) in (1..5).circular_tuple_windows() {
+ /// v.push((a, b));
+ /// }
+ /// assert_eq!(v, vec![(1, 2), (2, 3), (3, 4), (4, 1)]);
+ ///
+ /// let mut it = (1..5).circular_tuple_windows();
+ /// assert_eq!(Some((1, 2, 3)), it.next());
+ /// assert_eq!(Some((2, 3, 4)), it.next());
+ /// assert_eq!(Some((3, 4, 1)), it.next());
+ /// assert_eq!(Some((4, 1, 2)), it.next());
+ /// assert_eq!(None, it.next());
+ ///
+ /// // this requires a type hint
+ /// let it = (1..5).circular_tuple_windows::<(_, _, _)>();
+ /// itertools::assert_equal(it, vec![(1, 2, 3), (2, 3, 4), (3, 4, 1), (4, 1, 2)]);
+ /// ```
+ fn circular_tuple_windows<T>(self) -> CircularTupleWindows<Self, T>
+ where
+ Self: Sized + Clone + Iterator<Item = T::Item> + ExactSizeIterator,
+ T: tuple_impl::TupleCollect + Clone,
+ T::Item: Clone,
+ {
+ tuple_impl::circular_tuple_windows(self)
+ }
+ /// Return an iterator that groups the items in tuples of a specific size
+ /// (up to 12).
+ ///
+ /// See also the method [`.next_tuple()`](Itertools::next_tuple).
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// let mut v = Vec::new();
+ /// for (a, b) in (1..5).tuples() {
+ /// v.push((a, b));
+ /// }
+ /// assert_eq!(v, vec![(1, 2), (3, 4)]);
+ ///
+ /// let mut it = (1..7).tuples();
+ /// assert_eq!(Some((1, 2, 3)), it.next());
+ /// assert_eq!(Some((4, 5, 6)), it.next());
+ /// assert_eq!(None, it.next());
+ ///
+ /// // this requires a type hint
+ /// let it = (1..7).tuples::<(_, _, _)>();
+ /// itertools::assert_equal(it, vec![(1, 2, 3), (4, 5, 6)]);
+ ///
+ /// // you can also specify the complete type
+ /// use itertools::Tuples;
+ /// use std::ops::Range;
+ ///
+ /// let it: Tuples<Range<u32>, (u32, u32, u32)> = (1..7).tuples();
+ /// itertools::assert_equal(it, vec![(1, 2, 3), (4, 5, 6)]);
+ /// ```
+ ///
+ /// See also [`Tuples::into_buffer`].
+ fn tuples<T>(self) -> Tuples<Self, T>
+ where
+ Self: Sized + Iterator<Item = T::Item>,
+ T: traits::HomogeneousTuple,
+ {
+ tuple_impl::tuples(self)
+ }
+
+ /// Split into an iterator pair that both yield all elements from
+ /// the original iterator.
+ ///
+ /// **Note:** If the iterator is clonable, prefer using that instead
+ /// of using this method. Cloning is likely to be more efficient.
+ ///
+ /// Iterator element type is `Self::Item`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// let xs = vec![0, 1, 2, 3];
+ ///
+ /// let (mut t1, t2) = xs.into_iter().tee();
+ /// itertools::assert_equal(t1.next(), Some(0));
+ /// itertools::assert_equal(t2, 0..4);
+ /// itertools::assert_equal(t1, 1..4);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn tee(self) -> (Tee<Self>, Tee<Self>)
+ where
+ Self: Sized,
+ Self::Item: Clone,
+ {
+ tee::new(self)
+ }
+
+ /// Convert each item of the iterator using the [`Into`] trait.
+ ///
+ /// ```rust
+ /// use itertools::Itertools;
+ ///
+ /// (1i32..42i32).map_into::<f64>().collect_vec();
+ /// ```
+ fn map_into<R>(self) -> MapInto<Self, R>
+ where
+ Self: Sized,
+ Self::Item: Into<R>,
+ {
+ adaptors::map_into(self)
+ }
+
+ /// Return an iterator adaptor that applies the provided closure
+ /// to every `Result::Ok` value. `Result::Err` values are
+ /// unchanged.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let input = vec![Ok(41), Err(false), Ok(11)];
+ /// let it = input.into_iter().map_ok(|i| i + 1);
+ /// itertools::assert_equal(it, vec![Ok(42), Err(false), Ok(12)]);
+ /// ```
+ fn map_ok<F, T, U, E>(self, f: F) -> MapOk<Self, F>
+ where
+ Self: Iterator<Item = Result<T, E>> + Sized,
+ F: FnMut(T) -> U,
+ {
+ adaptors::map_ok(self, f)
+ }
+
+ /// Return an iterator adaptor that filters every `Result::Ok`
+ /// value with the provided closure. `Result::Err` values are
+ /// unchanged.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let input = vec![Ok(22), Err(false), Ok(11)];
+ /// let it = input.into_iter().filter_ok(|&i| i > 20);
+ /// itertools::assert_equal(it, vec![Ok(22), Err(false)]);
+ /// ```
+ fn filter_ok<F, T, E>(self, f: F) -> FilterOk<Self, F>
+ where
+ Self: Iterator<Item = Result<T, E>> + Sized,
+ F: FnMut(&T) -> bool,
+ {
+ adaptors::filter_ok(self, f)
+ }
+
+ /// Return an iterator adaptor that filters and transforms every
+ /// `Result::Ok` value with the provided closure. `Result::Err`
+ /// values are unchanged.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let input = vec![Ok(22), Err(false), Ok(11)];
+ /// let it = input.into_iter().filter_map_ok(|i| if i > 20 { Some(i * 2) } else { None });
+ /// itertools::assert_equal(it, vec![Ok(44), Err(false)]);
+ /// ```
+ fn filter_map_ok<F, T, U, E>(self, f: F) -> FilterMapOk<Self, F>
+ where
+ Self: Iterator<Item = Result<T, E>> + Sized,
+ F: FnMut(T) -> Option<U>,
+ {
+ adaptors::filter_map_ok(self, f)
+ }
+
+ /// Return an iterator adaptor that flattens every `Result::Ok` value into
+ /// a series of `Result::Ok` values. `Result::Err` values are unchanged.
+ ///
+ /// This is useful when you have some common error type for your crate and
+ /// need to propagate it upwards, but the `Result::Ok` case needs to be flattened.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let input = vec![Ok(0..2), Err(false), Ok(2..4)];
+ /// let it = input.iter().cloned().flatten_ok();
+ /// itertools::assert_equal(it.clone(), vec![Ok(0), Ok(1), Err(false), Ok(2), Ok(3)]);
+ ///
+ /// // This can also be used to propagate errors when collecting.
+ /// let output_result: Result<Vec<i32>, bool> = it.collect();
+ /// assert_eq!(output_result, Err(false));
+ /// ```
+ fn flatten_ok<T, E>(self) -> FlattenOk<Self, T, E>
+ where
+ Self: Iterator<Item = Result<T, E>> + Sized,
+ T: IntoIterator,
+ {
+ flatten_ok::flatten_ok(self)
+ }
+
+ /// “Lift” a function of the values of the current iterator so as to process
+ /// an iterator of `Result` values instead.
+ ///
+ /// `processor` is a closure that receives an adapted version of the iterator
+ /// as the only argument — the adapted iterator produces elements of type `T`,
+ /// as long as the original iterator produces `Ok` values.
+ ///
+ /// If the original iterable produces an error at any point, the adapted
+ /// iterator ends and it will return the error iself.
+ ///
+ /// Otherwise, the return value from the closure is returned wrapped
+ /// inside `Ok`.
+ ///
+ /// # Example
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// type Item = Result<i32, &'static str>;
+ ///
+ /// let first_values: Vec<Item> = vec![Ok(1), Ok(0), Ok(3)];
+ /// let second_values: Vec<Item> = vec![Ok(2), Ok(1), Err("overflow")];
+ ///
+ /// // “Lift” the iterator .max() method to work on the Ok-values.
+ /// let first_max = first_values.into_iter().process_results(|iter| iter.max().unwrap_or(0));
+ /// let second_max = second_values.into_iter().process_results(|iter| iter.max().unwrap_or(0));
+ ///
+ /// assert_eq!(first_max, Ok(3));
+ /// assert!(second_max.is_err());
+ /// ```
+ fn process_results<F, T, E, R>(self, processor: F) -> Result<R, E>
+ where
+ Self: Iterator<Item = Result<T, E>> + Sized,
+ F: FnOnce(ProcessResults<Self, E>) -> R,
+ {
+ process_results(self, processor)
+ }
+
+ /// Return an iterator adaptor that merges the two base iterators in
+ /// ascending order. If both base iterators are sorted (ascending), the
+ /// result is sorted.
+ ///
+ /// Iterator element type is `Self::Item`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let a = (0..11).step_by(3);
+ /// let b = (0..11).step_by(5);
+ /// let it = a.merge(b);
+ /// itertools::assert_equal(it, vec![0, 0, 3, 5, 6, 9, 10]);
+ /// ```
+ fn merge<J>(self, other: J) -> Merge<Self, J::IntoIter>
+ where
+ Self: Sized,
+ Self::Item: PartialOrd,
+ J: IntoIterator<Item = Self::Item>,
+ {
+ merge(self, other)
+ }
+
+ /// Return an iterator adaptor that merges the two base iterators in order.
+ /// This is much like [`.merge()`](Itertools::merge) but allows for a custom ordering.
+ ///
+ /// This can be especially useful for sequences of tuples.
+ ///
+ /// Iterator element type is `Self::Item`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let a = (0..).zip("bc".chars());
+ /// let b = (0..).zip("ad".chars());
+ /// let it = a.merge_by(b, |x, y| x.1 <= y.1);
+ /// itertools::assert_equal(it, vec![(0, 'a'), (0, 'b'), (1, 'c'), (1, 'd')]);
+ /// ```
+ fn merge_by<J, F>(self, other: J, is_first: F) -> MergeBy<Self, J::IntoIter, F>
+ where
+ Self: Sized,
+ J: IntoIterator<Item = Self::Item>,
+ F: FnMut(&Self::Item, &Self::Item) -> bool,
+ {
+ merge_join::merge_by_new(self, other, is_first)
+ }
+
+ /// Create an iterator that merges items from both this and the specified
+ /// iterator in ascending order.
+ ///
+ /// The function can either return an `Ordering` variant or a boolean.
+ ///
+ /// If `cmp_fn` returns `Ordering`,
+ /// it chooses whether to pair elements based on the `Ordering` returned by the
+ /// specified compare function. At any point, inspecting the tip of the
+ /// iterators `I` and `J` as items `i` of type `I::Item` and `j` of type
+ /// `J::Item` respectively, the resulting iterator will:
+ ///
+ /// - Emit `EitherOrBoth::Left(i)` when `i < j`,
+ /// and remove `i` from its source iterator
+ /// - Emit `EitherOrBoth::Right(j)` when `i > j`,
+ /// and remove `j` from its source iterator
+ /// - Emit `EitherOrBoth::Both(i, j)` when `i == j`,
+ /// and remove both `i` and `j` from their respective source iterators
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// use itertools::EitherOrBoth::{Left, Right, Both};
+ ///
+ /// let a = vec![0, 2, 4, 6, 1].into_iter();
+ /// let b = (0..10).step_by(3);
+ ///
+ /// itertools::assert_equal(
+ /// // This performs a diff in the style of the Unix command comm(1),
+ /// // generalized to arbitrary types rather than text.
+ /// a.merge_join_by(b, Ord::cmp),
+ /// vec![Both(0, 0), Left(2), Right(3), Left(4), Both(6, 6), Left(1), Right(9)]
+ /// );
+ /// ```
+ ///
+ /// If `cmp_fn` returns `bool`,
+ /// it chooses whether to pair elements based on the boolean returned by the
+ /// specified function. At any point, inspecting the tip of the
+ /// iterators `I` and `J` as items `i` of type `I::Item` and `j` of type
+ /// `J::Item` respectively, the resulting iterator will:
+ ///
+ /// - Emit `Either::Left(i)` when `true`,
+ /// and remove `i` from its source iterator
+ /// - Emit `Either::Right(j)` when `false`,
+ /// and remove `j` from its source iterator
+ ///
+ /// It is similar to the `Ordering` case if the first argument is considered
+ /// "less" than the second argument.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// use itertools::Either::{Left, Right};
+ ///
+ /// let a = vec![0, 2, 4, 6, 1].into_iter();
+ /// let b = (0..10).step_by(3);
+ ///
+ /// itertools::assert_equal(
+ /// a.merge_join_by(b, |i, j| i <= j),
+ /// vec![Left(0), Right(0), Left(2), Right(3), Left(4), Left(6), Left(1), Right(6), Right(9)]
+ /// );
+ /// ```
+ #[inline]
+ #[doc(alias = "comm")]
+ fn merge_join_by<J, F, T>(self, other: J, cmp_fn: F) -> MergeJoinBy<Self, J::IntoIter, F>
+ where
+ J: IntoIterator,
+ F: FnMut(&Self::Item, &J::Item) -> T,
+ Self: Sized,
+ {
+ merge_join_by(self, other, cmp_fn)
+ }
+
+ /// Return an iterator adaptor that flattens an iterator of iterators by
+ /// merging them in ascending order.
+ ///
+ /// If all base iterators are sorted (ascending), the result is sorted.
+ ///
+ /// Iterator element type is `Self::Item`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let a = (0..6).step_by(3);
+ /// let b = (1..6).step_by(3);
+ /// let c = (2..6).step_by(3);
+ /// let it = vec![a, b, c].into_iter().kmerge();
+ /// itertools::assert_equal(it, vec![0, 1, 2, 3, 4, 5]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn kmerge(self) -> KMerge<<Self::Item as IntoIterator>::IntoIter>
+ where
+ Self: Sized,
+ Self::Item: IntoIterator,
+ <Self::Item as IntoIterator>::Item: PartialOrd,
+ {
+ kmerge(self)
+ }
+
+ /// Return an iterator adaptor that flattens an iterator of iterators by
+ /// merging them according to the given closure.
+ ///
+ /// The closure `first` is called with two elements *a*, *b* and should
+ /// return `true` if *a* is ordered before *b*.
+ ///
+ /// If all base iterators are sorted according to `first`, the result is
+ /// sorted.
+ ///
+ /// Iterator element type is `Self::Item`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let a = vec![-1f64, 2., 3., -5., 6., -7.];
+ /// let b = vec![0., 2., -4.];
+ /// let mut it = vec![a, b].into_iter().kmerge_by(|a, b| a.abs() < b.abs());
+ /// assert_eq!(it.next(), Some(0.));
+ /// assert_eq!(it.last(), Some(-7.));
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn kmerge_by<F>(self, first: F) -> KMergeBy<<Self::Item as IntoIterator>::IntoIter, F>
+ where
+ Self: Sized,
+ Self::Item: IntoIterator,
+ F: FnMut(&<Self::Item as IntoIterator>::Item, &<Self::Item as IntoIterator>::Item) -> bool,
+ {
+ kmerge_by(self, first)
+ }
+
+ /// Return an iterator adaptor that iterates over the cartesian product of
+ /// the element sets of two iterators `self` and `J`.
+ ///
+ /// Iterator element type is `(Self::Item, J::Item)`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let it = (0..2).cartesian_product("αβ".chars());
+ /// itertools::assert_equal(it, vec![(0, 'α'), (0, 'β'), (1, 'α'), (1, 'β')]);
+ /// ```
+ fn cartesian_product<J>(self, other: J) -> Product<Self, J::IntoIter>
+ where
+ Self: Sized,
+ Self::Item: Clone,
+ J: IntoIterator,
+ J::IntoIter: Clone,
+ {
+ adaptors::cartesian_product(self, other.into_iter())
+ }
+
+ /// Return an iterator adaptor that iterates over the cartesian product of
+ /// all subiterators returned by meta-iterator `self`.
+ ///
+ /// All provided iterators must yield the same `Item` type. To generate
+ /// the product of iterators yielding multiple types, use the
+ /// [`iproduct`] macro instead.
+ ///
+ /// The iterator element type is `Vec<T>`, where `T` is the iterator element
+ /// of the subiterators.
+ ///
+ /// Note that the iterator is fused.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// let mut multi_prod = (0..3).map(|i| (i * 2)..(i * 2 + 2))
+ /// .multi_cartesian_product();
+ /// assert_eq!(multi_prod.next(), Some(vec![0, 2, 4]));
+ /// assert_eq!(multi_prod.next(), Some(vec![0, 2, 5]));
+ /// assert_eq!(multi_prod.next(), Some(vec![0, 3, 4]));
+ /// assert_eq!(multi_prod.next(), Some(vec![0, 3, 5]));
+ /// assert_eq!(multi_prod.next(), Some(vec![1, 2, 4]));
+ /// assert_eq!(multi_prod.next(), Some(vec![1, 2, 5]));
+ /// assert_eq!(multi_prod.next(), Some(vec![1, 3, 4]));
+ /// assert_eq!(multi_prod.next(), Some(vec![1, 3, 5]));
+ /// assert_eq!(multi_prod.next(), None);
+ /// ```
+ ///
+ /// If the adapted iterator is empty, the result is an iterator yielding a single empty vector.
+ /// This is known as the [nullary cartesian product](https://en.wikipedia.org/wiki/Empty_product#Nullary_Cartesian_product).
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// let mut nullary_cartesian_product = (0..0).map(|i| (i * 2)..(i * 2 + 2)).multi_cartesian_product();
+ /// assert_eq!(nullary_cartesian_product.next(), Some(vec![]));
+ /// assert_eq!(nullary_cartesian_product.next(), None);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn multi_cartesian_product(self) -> MultiProduct<<Self::Item as IntoIterator>::IntoIter>
+ where
+ Self: Sized,
+ Self::Item: IntoIterator,
+ <Self::Item as IntoIterator>::IntoIter: Clone,
+ <Self::Item as IntoIterator>::Item: Clone,
+ {
+ adaptors::multi_cartesian_product(self)
+ }
+
+ /// Return an iterator adaptor that uses the passed-in closure to
+ /// optionally merge together consecutive elements.
+ ///
+ /// The closure `f` is passed two elements, `previous` and `current` and may
+ /// return either (1) `Ok(combined)` to merge the two values or
+ /// (2) `Err((previous', current'))` to indicate they can't be merged.
+ /// In (2), the value `previous'` is emitted by the iterator.
+ /// Either (1) `combined` or (2) `current'` becomes the previous value
+ /// when coalesce continues with the next pair of elements to merge. The
+ /// value that remains at the end is also emitted by the iterator.
+ ///
+ /// Iterator element type is `Self::Item`.
+ ///
+ /// This iterator is *fused*.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // sum same-sign runs together
+ /// let data = vec![-1., -2., -3., 3., 1., 0., -1.];
+ /// itertools::assert_equal(data.into_iter().coalesce(|x, y|
+ /// if (x >= 0.) == (y >= 0.) {
+ /// Ok(x + y)
+ /// } else {
+ /// Err((x, y))
+ /// }),
+ /// vec![-6., 4., -1.]);
+ /// ```
+ fn coalesce<F>(self, f: F) -> Coalesce<Self, F>
+ where
+ Self: Sized,
+ F: FnMut(Self::Item, Self::Item) -> Result<Self::Item, (Self::Item, Self::Item)>,
+ {
+ adaptors::coalesce(self, f)
+ }
+
+ /// Remove duplicates from sections of consecutive identical elements.
+ /// If the iterator is sorted, all elements will be unique.
+ ///
+ /// Iterator element type is `Self::Item`.
+ ///
+ /// This iterator is *fused*.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec![1., 1., 2., 3., 3., 2., 2.];
+ /// itertools::assert_equal(data.into_iter().dedup(),
+ /// vec![1., 2., 3., 2.]);
+ /// ```
+ fn dedup(self) -> Dedup<Self>
+ where
+ Self: Sized,
+ Self::Item: PartialEq,
+ {
+ adaptors::dedup(self)
+ }
+
+ /// Remove duplicates from sections of consecutive identical elements,
+ /// determining equality using a comparison function.
+ /// If the iterator is sorted, all elements will be unique.
+ ///
+ /// Iterator element type is `Self::Item`.
+ ///
+ /// This iterator is *fused*.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec![(0, 1.), (1, 1.), (0, 2.), (0, 3.), (1, 3.), (1, 2.), (2, 2.)];
+ /// itertools::assert_equal(data.into_iter().dedup_by(|x, y| x.1 == y.1),
+ /// vec![(0, 1.), (0, 2.), (0, 3.), (1, 2.)]);
+ /// ```
+ fn dedup_by<Cmp>(self, cmp: Cmp) -> DedupBy<Self, Cmp>
+ where
+ Self: Sized,
+ Cmp: FnMut(&Self::Item, &Self::Item) -> bool,
+ {
+ adaptors::dedup_by(self, cmp)
+ }
+
+ /// Remove duplicates from sections of consecutive identical elements, while keeping a count of
+ /// how many repeated elements were present.
+ /// If the iterator is sorted, all elements will be unique.
+ ///
+ /// Iterator element type is `(usize, Self::Item)`.
+ ///
+ /// This iterator is *fused*.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec!['a', 'a', 'b', 'c', 'c', 'b', 'b'];
+ /// itertools::assert_equal(data.into_iter().dedup_with_count(),
+ /// vec![(2, 'a'), (1, 'b'), (2, 'c'), (2, 'b')]);
+ /// ```
+ fn dedup_with_count(self) -> DedupWithCount<Self>
+ where
+ Self: Sized,
+ {
+ adaptors::dedup_with_count(self)
+ }
+
+ /// Remove duplicates from sections of consecutive identical elements, while keeping a count of
+ /// how many repeated elements were present.
+ /// This will determine equality using a comparison function.
+ /// If the iterator is sorted, all elements will be unique.
+ ///
+ /// Iterator element type is `(usize, Self::Item)`.
+ ///
+ /// This iterator is *fused*.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec![(0, 'a'), (1, 'a'), (0, 'b'), (0, 'c'), (1, 'c'), (1, 'b'), (2, 'b')];
+ /// itertools::assert_equal(data.into_iter().dedup_by_with_count(|x, y| x.1 == y.1),
+ /// vec![(2, (0, 'a')), (1, (0, 'b')), (2, (0, 'c')), (2, (1, 'b'))]);
+ /// ```
+ fn dedup_by_with_count<Cmp>(self, cmp: Cmp) -> DedupByWithCount<Self, Cmp>
+ where
+ Self: Sized,
+ Cmp: FnMut(&Self::Item, &Self::Item) -> bool,
+ {
+ adaptors::dedup_by_with_count(self, cmp)
+ }
+
+ /// Return an iterator adaptor that produces elements that appear more than once during the
+ /// iteration. Duplicates are detected using hash and equality.
+ ///
+ /// The iterator is stable, returning the duplicate items in the order in which they occur in
+ /// the adapted iterator. Each duplicate item is returned exactly once. If an item appears more
+ /// than twice, the second item is the item retained and the rest are discarded.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec![10, 20, 30, 20, 40, 10, 50];
+ /// itertools::assert_equal(data.into_iter().duplicates(),
+ /// vec![20, 10]);
+ /// ```
+ #[cfg(feature = "use_std")]
+ fn duplicates(self) -> Duplicates<Self>
+ where
+ Self: Sized,
+ Self::Item: Eq + Hash,
+ {
+ duplicates_impl::duplicates(self)
+ }
+
+ /// Return an iterator adaptor that produces elements that appear more than once during the
+ /// iteration. Duplicates are detected using hash and equality.
+ ///
+ /// Duplicates are detected by comparing the key they map to with the keying function `f` by
+ /// hash and equality. The keys are stored in a hash map in the iterator.
+ ///
+ /// The iterator is stable, returning the duplicate items in the order in which they occur in
+ /// the adapted iterator. Each duplicate item is returned exactly once. If an item appears more
+ /// than twice, the second item is the item retained and the rest are discarded.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec!["a", "bb", "aa", "c", "ccc"];
+ /// itertools::assert_equal(data.into_iter().duplicates_by(|s| s.len()),
+ /// vec!["aa", "c"]);
+ /// ```
+ #[cfg(feature = "use_std")]
+ fn duplicates_by<V, F>(self, f: F) -> DuplicatesBy<Self, V, F>
+ where
+ Self: Sized,
+ V: Eq + Hash,
+ F: FnMut(&Self::Item) -> V,
+ {
+ duplicates_impl::duplicates_by(self, f)
+ }
+
+ /// Return an iterator adaptor that filters out elements that have
+ /// already been produced once during the iteration. Duplicates
+ /// are detected using hash and equality.
+ ///
+ /// Clones of visited elements are stored in a hash set in the
+ /// iterator.
+ ///
+ /// The iterator is stable, returning the non-duplicate items in the order
+ /// in which they occur in the adapted iterator. In a set of duplicate
+ /// items, the first item encountered is the item retained.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec![10, 20, 30, 20, 40, 10, 50];
+ /// itertools::assert_equal(data.into_iter().unique(),
+ /// vec![10, 20, 30, 40, 50]);
+ /// ```
+ #[cfg(feature = "use_std")]
+ fn unique(self) -> Unique<Self>
+ where
+ Self: Sized,
+ Self::Item: Clone + Eq + Hash,
+ {
+ unique_impl::unique(self)
+ }
+
+ /// Return an iterator adaptor that filters out elements that have
+ /// already been produced once during the iteration.
+ ///
+ /// Duplicates are detected by comparing the key they map to
+ /// with the keying function `f` by hash and equality.
+ /// The keys are stored in a hash set in the iterator.
+ ///
+ /// The iterator is stable, returning the non-duplicate items in the order
+ /// in which they occur in the adapted iterator. In a set of duplicate
+ /// items, the first item encountered is the item retained.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec!["a", "bb", "aa", "c", "ccc"];
+ /// itertools::assert_equal(data.into_iter().unique_by(|s| s.len()),
+ /// vec!["a", "bb", "ccc"]);
+ /// ```
+ #[cfg(feature = "use_std")]
+ fn unique_by<V, F>(self, f: F) -> UniqueBy<Self, V, F>
+ where
+ Self: Sized,
+ V: Eq + Hash,
+ F: FnMut(&Self::Item) -> V,
+ {
+ unique_impl::unique_by(self, f)
+ }
+
+ /// Return an iterator adaptor that borrows from this iterator and
+ /// takes items while the closure `accept` returns `true`.
+ ///
+ /// This adaptor can only be used on iterators that implement `PeekingNext`
+ /// like `.peekable()`, `put_back` and a few other collection iterators.
+ ///
+ /// The last and rejected element (first `false`) is still available when
+ /// `peeking_take_while` is done.
+ ///
+ ///
+ /// See also [`.take_while_ref()`](Itertools::take_while_ref)
+ /// which is a similar adaptor.
+ fn peeking_take_while<F>(&mut self, accept: F) -> PeekingTakeWhile<Self, F>
+ where
+ Self: Sized + PeekingNext,
+ F: FnMut(&Self::Item) -> bool,
+ {
+ peeking_take_while::peeking_take_while(self, accept)
+ }
+
+ /// Return an iterator adaptor that borrows from a `Clone`-able iterator
+ /// to only pick off elements while the predicate `accept` returns `true`.
+ ///
+ /// It uses the `Clone` trait to restore the original iterator so that the
+ /// last and rejected element (first `false`) is still available when
+ /// `take_while_ref` is done.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let mut hexadecimals = "0123456789abcdef".chars();
+ ///
+ /// let decimals = hexadecimals.take_while_ref(|c| c.is_numeric())
+ /// .collect::<String>();
+ /// assert_eq!(decimals, "0123456789");
+ /// assert_eq!(hexadecimals.next(), Some('a'));
+ ///
+ /// ```
+ fn take_while_ref<F>(&mut self, accept: F) -> TakeWhileRef<Self, F>
+ where
+ Self: Clone,
+ F: FnMut(&Self::Item) -> bool,
+ {
+ adaptors::take_while_ref(self, accept)
+ }
+
+ /// Returns an iterator adaptor that consumes elements while the given
+ /// predicate is `true`, *including* the element for which the predicate
+ /// first returned `false`.
+ ///
+ /// The [`.take_while()`][std::iter::Iterator::take_while] adaptor is useful
+ /// when you want items satisfying a predicate, but to know when to stop
+ /// taking elements, we have to consume that first element that doesn't
+ /// satisfy the predicate. This adaptor includes that element where
+ /// [`.take_while()`][std::iter::Iterator::take_while] would drop it.
+ ///
+ /// The [`.take_while_ref()`][crate::Itertools::take_while_ref] adaptor
+ /// serves a similar purpose, but this adaptor doesn't require [`Clone`]ing
+ /// the underlying elements.
+ ///
+ /// ```rust
+ /// # use itertools::Itertools;
+ /// let items = vec![1, 2, 3, 4, 5];
+ /// let filtered: Vec<_> = items
+ /// .into_iter()
+ /// .take_while_inclusive(|&n| n % 3 != 0)
+ /// .collect();
+ ///
+ /// assert_eq!(filtered, vec![1, 2, 3]);
+ /// ```
+ ///
+ /// ```rust
+ /// # use itertools::Itertools;
+ /// let items = vec![1, 2, 3, 4, 5];
+ ///
+ /// let take_while_inclusive_result: Vec<_> = items
+ /// .iter()
+ /// .copied()
+ /// .take_while_inclusive(|&n| n % 3 != 0)
+ /// .collect();
+ /// let take_while_result: Vec<_> = items
+ /// .into_iter()
+ /// .take_while(|&n| n % 3 != 0)
+ /// .collect();
+ ///
+ /// assert_eq!(take_while_inclusive_result, vec![1, 2, 3]);
+ /// assert_eq!(take_while_result, vec![1, 2]);
+ /// // both iterators have the same items remaining at this point---the 3
+ /// // is lost from the `take_while` vec
+ /// ```
+ ///
+ /// ```rust
+ /// # use itertools::Itertools;
+ /// #[derive(Debug, PartialEq)]
+ /// struct NoCloneImpl(i32);
+ ///
+ /// let non_clonable_items: Vec<_> = vec![1, 2, 3, 4, 5]
+ /// .into_iter()
+ /// .map(NoCloneImpl)
+ /// .collect();
+ /// let filtered: Vec<_> = non_clonable_items
+ /// .into_iter()
+ /// .take_while_inclusive(|n| n.0 % 3 != 0)
+ /// .collect();
+ /// let expected: Vec<_> = vec![1, 2, 3].into_iter().map(NoCloneImpl).collect();
+ /// assert_eq!(filtered, expected);
+ #[doc(alias = "take_until")]
+ fn take_while_inclusive<F>(self, accept: F) -> TakeWhileInclusive<Self, F>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item) -> bool,
+ {
+ take_while_inclusive::TakeWhileInclusive::new(self, accept)
+ }
+
+ /// Return an iterator adaptor that filters `Option<A>` iterator elements
+ /// and produces `A`. Stops on the first `None` encountered.
+ ///
+ /// Iterator element type is `A`, the unwrapped element.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // List all hexadecimal digits
+ /// itertools::assert_equal(
+ /// (0..).map(|i| std::char::from_digit(i, 16)).while_some(),
+ /// "0123456789abcdef".chars());
+ ///
+ /// ```
+ fn while_some<A>(self) -> WhileSome<Self>
+ where
+ Self: Sized + Iterator<Item = Option<A>>,
+ {
+ adaptors::while_some(self)
+ }
+
+ /// Return an iterator adaptor that iterates over the combinations of the
+ /// elements from an iterator.
+ ///
+ /// Iterator element can be any homogeneous tuple of type `Self::Item` with
+ /// size up to 12.
+ ///
+ /// # Guarantees
+ ///
+ /// If the adapted iterator is deterministic,
+ /// this iterator adapter yields items in a reliable order.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let mut v = Vec::new();
+ /// for (a, b) in (1..5).tuple_combinations() {
+ /// v.push((a, b));
+ /// }
+ /// assert_eq!(v, vec![(1, 2), (1, 3), (1, 4), (2, 3), (2, 4), (3, 4)]);
+ ///
+ /// let mut it = (1..5).tuple_combinations();
+ /// assert_eq!(Some((1, 2, 3)), it.next());
+ /// assert_eq!(Some((1, 2, 4)), it.next());
+ /// assert_eq!(Some((1, 3, 4)), it.next());
+ /// assert_eq!(Some((2, 3, 4)), it.next());
+ /// assert_eq!(None, it.next());
+ ///
+ /// // this requires a type hint
+ /// let it = (1..5).tuple_combinations::<(_, _, _)>();
+ /// itertools::assert_equal(it, vec![(1, 2, 3), (1, 2, 4), (1, 3, 4), (2, 3, 4)]);
+ ///
+ /// // you can also specify the complete type
+ /// use itertools::TupleCombinations;
+ /// use std::ops::Range;
+ ///
+ /// let it: TupleCombinations<Range<u32>, (u32, u32, u32)> = (1..5).tuple_combinations();
+ /// itertools::assert_equal(it, vec![(1, 2, 3), (1, 2, 4), (1, 3, 4), (2, 3, 4)]);
+ /// ```
+ fn tuple_combinations<T>(self) -> TupleCombinations<Self, T>
+ where
+ Self: Sized + Clone,
+ Self::Item: Clone,
+ T: adaptors::HasCombination<Self>,
+ {
+ adaptors::tuple_combinations(self)
+ }
+
+ /// Return an iterator adaptor that iterates over the combinations of the
+ /// elements from an iterator.
+ ///
+ /// Iterator element type is [Self::Item; K]. The iterator produces a new
+ /// array per iteration, and clones the iterator elements.
+ ///
+ /// # Guarantees
+ ///
+ /// If the adapted iterator is deterministic,
+ /// this iterator adapter yields items in a reliable order.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let mut v = Vec::new();
+ /// for [a, b] in (1..5).array_combinations() {
+ /// v.push([a, b]);
+ /// }
+ /// assert_eq!(v, vec![[1, 2], [1, 3], [1, 4], [2, 3], [2, 4], [3, 4]]);
+ ///
+ /// let mut it = (1..5).array_combinations();
+ /// assert_eq!(Some([1, 2, 3]), it.next());
+ /// assert_eq!(Some([1, 2, 4]), it.next());
+ /// assert_eq!(Some([1, 3, 4]), it.next());
+ /// assert_eq!(Some([2, 3, 4]), it.next());
+ /// assert_eq!(None, it.next());
+ ///
+ /// // this requires a type hint
+ /// let it = (1..5).array_combinations::<3>();
+ /// itertools::assert_equal(it, vec![[1, 2, 3], [1, 2, 4], [1, 3, 4], [2, 3, 4]]);
+ ///
+ /// // you can also specify the complete type
+ /// use itertools::ArrayCombinations;
+ /// use std::ops::Range;
+ ///
+ /// let it: ArrayCombinations<Range<u32>, 3> = (1..5).array_combinations();
+ /// itertools::assert_equal(it, vec![[1, 2, 3], [1, 2, 4], [1, 3, 4], [2, 3, 4]]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn array_combinations<const K: usize>(self) -> ArrayCombinations<Self, K>
+ where
+ Self: Sized + Clone,
+ Self::Item: Clone,
+ {
+ combinations::array_combinations(self)
+ }
+
+ /// Return an iterator adaptor that iterates over the `k`-length combinations of
+ /// the elements from an iterator.
+ ///
+ /// Iterator element type is `Vec<Self::Item>`. The iterator produces a new `Vec` per iteration,
+ /// and clones the iterator elements.
+ ///
+ /// # Guarantees
+ ///
+ /// If the adapted iterator is deterministic,
+ /// this iterator adapter yields items in a reliable order.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let it = (1..5).combinations(3);
+ /// itertools::assert_equal(it, vec![
+ /// vec![1, 2, 3],
+ /// vec![1, 2, 4],
+ /// vec![1, 3, 4],
+ /// vec![2, 3, 4],
+ /// ]);
+ /// ```
+ ///
+ /// Note: Combinations does not take into account the equality of the iterated values.
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let it = vec![1, 2, 2].into_iter().combinations(2);
+ /// itertools::assert_equal(it, vec![
+ /// vec![1, 2], // Note: these are the same
+ /// vec![1, 2], // Note: these are the same
+ /// vec![2, 2],
+ /// ]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn combinations(self, k: usize) -> Combinations<Self>
+ where
+ Self: Sized,
+ Self::Item: Clone,
+ {
+ combinations::combinations(self, k)
+ }
+
+ /// Return an iterator that iterates over the `k`-length combinations of
+ /// the elements from an iterator, with replacement.
+ ///
+ /// Iterator element type is `Vec<Self::Item>`. The iterator produces a new `Vec` per iteration,
+ /// and clones the iterator elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let it = (1..4).combinations_with_replacement(2);
+ /// itertools::assert_equal(it, vec![
+ /// vec![1, 1],
+ /// vec![1, 2],
+ /// vec![1, 3],
+ /// vec![2, 2],
+ /// vec![2, 3],
+ /// vec![3, 3],
+ /// ]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn combinations_with_replacement(self, k: usize) -> CombinationsWithReplacement<Self>
+ where
+ Self: Sized,
+ Self::Item: Clone,
+ {
+ combinations_with_replacement::combinations_with_replacement(self, k)
+ }
+
+ /// Return an iterator adaptor that iterates over all k-permutations of the
+ /// elements from an iterator.
+ ///
+ /// Iterator element type is `Vec<Self::Item>` with length `k`. The iterator
+ /// produces a new `Vec` per iteration, and clones the iterator elements.
+ ///
+ /// If `k` is greater than the length of the input iterator, the resultant
+ /// iterator adaptor will be empty.
+ ///
+ /// If you are looking for permutations with replacements,
+ /// use `repeat_n(iter, k).multi_cartesian_product()` instead.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let perms = (5..8).permutations(2);
+ /// itertools::assert_equal(perms, vec![
+ /// vec![5, 6],
+ /// vec![5, 7],
+ /// vec![6, 5],
+ /// vec![6, 7],
+ /// vec![7, 5],
+ /// vec![7, 6],
+ /// ]);
+ /// ```
+ ///
+ /// Note: Permutations does not take into account the equality of the iterated values.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let it = vec![2, 2].into_iter().permutations(2);
+ /// itertools::assert_equal(it, vec![
+ /// vec![2, 2], // Note: these are the same
+ /// vec![2, 2], // Note: these are the same
+ /// ]);
+ /// ```
+ ///
+ /// Note: The source iterator is collected lazily, and will not be
+ /// re-iterated if the permutations adaptor is completed and re-iterated.
+ #[cfg(feature = "use_alloc")]
+ fn permutations(self, k: usize) -> Permutations<Self>
+ where
+ Self: Sized,
+ Self::Item: Clone,
+ {
+ permutations::permutations(self, k)
+ }
+
+ /// Return an iterator that iterates through the powerset of the elements from an
+ /// iterator.
+ ///
+ /// Iterator element type is `Vec<Self::Item>`. The iterator produces a new `Vec`
+ /// per iteration, and clones the iterator elements.
+ ///
+ /// The powerset of a set contains all subsets including the empty set and the full
+ /// input set. A powerset has length _2^n_ where _n_ is the length of the input
+ /// set.
+ ///
+ /// Each `Vec` produced by this iterator represents a subset of the elements
+ /// produced by the source iterator.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let sets = (1..4).powerset().collect::<Vec<_>>();
+ /// itertools::assert_equal(sets, vec![
+ /// vec![],
+ /// vec![1],
+ /// vec![2],
+ /// vec![3],
+ /// vec![1, 2],
+ /// vec![1, 3],
+ /// vec![2, 3],
+ /// vec![1, 2, 3],
+ /// ]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn powerset(self) -> Powerset<Self>
+ where
+ Self: Sized,
+ Self::Item: Clone,
+ {
+ powerset::powerset(self)
+ }
+
+ /// Return an iterator adaptor that pads the sequence to a minimum length of
+ /// `min` by filling missing elements using a closure `f`.
+ ///
+ /// Iterator element type is `Self::Item`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let it = (0..5).pad_using(10, |i| 2*i);
+ /// itertools::assert_equal(it, vec![0, 1, 2, 3, 4, 10, 12, 14, 16, 18]);
+ ///
+ /// let it = (0..10).pad_using(5, |i| 2*i);
+ /// itertools::assert_equal(it, vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
+ ///
+ /// let it = (0..5).pad_using(10, |i| 2*i).rev();
+ /// itertools::assert_equal(it, vec![18, 16, 14, 12, 10, 4, 3, 2, 1, 0]);
+ /// ```
+ fn pad_using<F>(self, min: usize, f: F) -> PadUsing<Self, F>
+ where
+ Self: Sized,
+ F: FnMut(usize) -> Self::Item,
+ {
+ pad_tail::pad_using(self, min, f)
+ }
+
+ /// Return an iterator adaptor that combines each element with a `Position` to
+ /// ease special-case handling of the first or last elements.
+ ///
+ /// Iterator element type is
+ /// [`(Position, Self::Item)`](Position)
+ ///
+ /// ```
+ /// use itertools::{Itertools, Position};
+ ///
+ /// let it = (0..4).with_position();
+ /// itertools::assert_equal(it,
+ /// vec![(Position::First, 0),
+ /// (Position::Middle, 1),
+ /// (Position::Middle, 2),
+ /// (Position::Last, 3)]);
+ ///
+ /// let it = (0..1).with_position();
+ /// itertools::assert_equal(it, vec![(Position::Only, 0)]);
+ /// ```
+ fn with_position(self) -> WithPosition<Self>
+ where
+ Self: Sized,
+ {
+ with_position::with_position(self)
+ }
+
+ /// Return an iterator adaptor that yields the indices of all elements
+ /// satisfying a predicate, counted from the start of the iterator.
+ ///
+ /// Equivalent to `iter.enumerate().filter(|(_, v)| predicate(*v)).map(|(i, _)| i)`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec![1, 2, 3, 3, 4, 6, 7, 9];
+ /// itertools::assert_equal(data.iter().positions(|v| v % 2 == 0), vec![1, 4, 5]);
+ ///
+ /// itertools::assert_equal(data.iter().positions(|v| v % 2 == 1).rev(), vec![7, 6, 3, 2, 0]);
+ /// ```
+ fn positions<P>(self, predicate: P) -> Positions<Self, P>
+ where
+ Self: Sized,
+ P: FnMut(Self::Item) -> bool,
+ {
+ adaptors::positions(self, predicate)
+ }
+
+ /// Return an iterator adaptor that applies a mutating function
+ /// to each element before yielding it.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let input = vec![vec![1], vec![3, 2, 1]];
+ /// let it = input.into_iter().update(|v| v.push(0));
+ /// itertools::assert_equal(it, vec![vec![1, 0], vec![3, 2, 1, 0]]);
+ /// ```
+ fn update<F>(self, updater: F) -> Update<Self, F>
+ where
+ Self: Sized,
+ F: FnMut(&mut Self::Item),
+ {
+ adaptors::update(self, updater)
+ }
+
+ // non-adaptor methods
+ /// Advances the iterator and returns the next items grouped in an array of
+ /// a specific size.
+ ///
+ /// If there are enough elements to be grouped in an array, then the array
+ /// is returned inside `Some`, otherwise `None` is returned.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let mut iter = 1..5;
+ ///
+ /// assert_eq!(Some([1, 2]), iter.next_array());
+ /// ```
+ fn next_array<const N: usize>(&mut self) -> Option<[Self::Item; N]>
+ where
+ Self: Sized,
+ {
+ next_array::next_array(self)
+ }
+
+ /// Collects all items from the iterator into an array of a specific size.
+ ///
+ /// If the number of elements inside the iterator is **exactly** equal to
+ /// the array size, then the array is returned inside `Some`, otherwise
+ /// `None` is returned.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let iter = 1..3;
+ ///
+ /// if let Some([x, y]) = iter.collect_array() {
+ /// assert_eq!([x, y], [1, 2])
+ /// } else {
+ /// panic!("Expected two elements")
+ /// }
+ /// ```
+ fn collect_array<const N: usize>(mut self) -> Option<[Self::Item; N]>
+ where
+ Self: Sized,
+ {
+ self.next_array().filter(|_| self.next().is_none())
+ }
+
+ /// Advances the iterator and returns the next items grouped in a tuple of
+ /// a specific size (up to 12).
+ ///
+ /// If there are enough elements to be grouped in a tuple, then the tuple is
+ /// returned inside `Some`, otherwise `None` is returned.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let mut iter = 1..5;
+ ///
+ /// assert_eq!(Some((1, 2)), iter.next_tuple());
+ /// ```
+ fn next_tuple<T>(&mut self) -> Option<T>
+ where
+ Self: Sized + Iterator<Item = T::Item>,
+ T: traits::HomogeneousTuple,
+ {
+ T::collect_from_iter_no_buf(self)
+ }
+
+ /// Collects all items from the iterator into a tuple of a specific size
+ /// (up to 12).
+ ///
+ /// If the number of elements inside the iterator is **exactly** equal to
+ /// the tuple size, then the tuple is returned inside `Some`, otherwise
+ /// `None` is returned.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let iter = 1..3;
+ ///
+ /// if let Some((x, y)) = iter.collect_tuple() {
+ /// assert_eq!((x, y), (1, 2))
+ /// } else {
+ /// panic!("Expected two elements")
+ /// }
+ /// ```
+ fn collect_tuple<T>(mut self) -> Option<T>
+ where
+ Self: Sized + Iterator<Item = T::Item>,
+ T: traits::HomogeneousTuple,
+ {
+ match self.next_tuple() {
+ elt @ Some(_) => match self.next() {
+ Some(_) => None,
+ None => elt,
+ },
+ _ => None,
+ }
+ }
+
+ /// Find the position and value of the first element satisfying a predicate.
+ ///
+ /// The iterator is not advanced past the first element found.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let text = "Hα";
+ /// assert_eq!(text.chars().find_position(|ch| ch.is_lowercase()), Some((1, 'α')));
+ /// ```
+ fn find_position<P>(&mut self, mut pred: P) -> Option<(usize, Self::Item)>
+ where
+ P: FnMut(&Self::Item) -> bool,
+ {
+ self.enumerate().find(|(_, elt)| pred(elt))
+ }
+ /// Find the value of the first element satisfying a predicate or return the last element, if any.
+ ///
+ /// The iterator is not advanced past the first element found.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let numbers = [1, 2, 3, 4];
+ /// assert_eq!(numbers.iter().find_or_last(|&&x| x > 5), Some(&4));
+ /// assert_eq!(numbers.iter().find_or_last(|&&x| x > 2), Some(&3));
+ /// assert_eq!(std::iter::empty::<i32>().find_or_last(|&x| x > 5), None);
+ ///
+ /// // An iterator of Results can return the first Ok or the last Err:
+ /// let input = vec![Err(()), Ok(11), Err(()), Ok(22)];
+ /// assert_eq!(input.into_iter().find_or_last(Result::is_ok), Some(Ok(11)));
+ ///
+ /// let input: Vec<Result<(), i32>> = vec![Err(11), Err(22)];
+ /// assert_eq!(input.into_iter().find_or_last(Result::is_ok), Some(Err(22)));
+ ///
+ /// assert_eq!(std::iter::empty::<Result<(), i32>>().find_or_last(Result::is_ok), None);
+ /// ```
+ fn find_or_last<P>(mut self, mut predicate: P) -> Option<Self::Item>
+ where
+ Self: Sized,
+ P: FnMut(&Self::Item) -> bool,
+ {
+ let mut prev = None;
+ self.find_map(|x| {
+ if predicate(&x) {
+ Some(x)
+ } else {
+ prev = Some(x);
+ None
+ }
+ })
+ .or(prev)
+ }
+ /// Find the value of the first element satisfying a predicate or return the first element, if any.
+ ///
+ /// The iterator is not advanced past the first element found.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let numbers = [1, 2, 3, 4];
+ /// assert_eq!(numbers.iter().find_or_first(|&&x| x > 5), Some(&1));
+ /// assert_eq!(numbers.iter().find_or_first(|&&x| x > 2), Some(&3));
+ /// assert_eq!(std::iter::empty::<i32>().find_or_first(|&x| x > 5), None);
+ ///
+ /// // An iterator of Results can return the first Ok or the first Err:
+ /// let input = vec![Err(()), Ok(11), Err(()), Ok(22)];
+ /// assert_eq!(input.into_iter().find_or_first(Result::is_ok), Some(Ok(11)));
+ ///
+ /// let input: Vec<Result<(), i32>> = vec![Err(11), Err(22)];
+ /// assert_eq!(input.into_iter().find_or_first(Result::is_ok), Some(Err(11)));
+ ///
+ /// assert_eq!(std::iter::empty::<Result<(), i32>>().find_or_first(Result::is_ok), None);
+ /// ```
+ fn find_or_first<P>(mut self, mut predicate: P) -> Option<Self::Item>
+ where
+ Self: Sized,
+ P: FnMut(&Self::Item) -> bool,
+ {
+ let first = self.next()?;
+ Some(if predicate(&first) {
+ first
+ } else {
+ self.find(|x| predicate(x)).unwrap_or(first)
+ })
+ }
+ /// Returns `true` if the given item is present in this iterator.
+ ///
+ /// This method is short-circuiting. If the given item is present in this
+ /// iterator, this method will consume the iterator up-to-and-including
+ /// the item. If the given item is not present in this iterator, the
+ /// iterator will be exhausted.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// #[derive(PartialEq, Debug)]
+ /// enum Enum { A, B, C, D, E, }
+ ///
+ /// let mut iter = vec![Enum::A, Enum::B, Enum::C, Enum::D].into_iter();
+ ///
+ /// // search `iter` for `B`
+ /// assert_eq!(iter.contains(&Enum::B), true);
+ /// // `B` was found, so the iterator now rests at the item after `B` (i.e, `C`).
+ /// assert_eq!(iter.next(), Some(Enum::C));
+ ///
+ /// // search `iter` for `E`
+ /// assert_eq!(iter.contains(&Enum::E), false);
+ /// // `E` wasn't found, so `iter` is now exhausted
+ /// assert_eq!(iter.next(), None);
+ /// ```
+ fn contains<Q>(&mut self, query: &Q) -> bool
+ where
+ Self: Sized,
+ Self::Item: Borrow<Q>,
+ Q: PartialEq + ?Sized,
+ {
+ self.any(|x| x.borrow() == query)
+ }
+
+ /// Check whether all elements compare equal.
+ ///
+ /// Empty iterators are considered to have equal elements:
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec![1, 1, 1, 2, 2, 3, 3, 3, 4, 5, 5];
+ /// assert!(!data.iter().all_equal());
+ /// assert!(data[0..3].iter().all_equal());
+ /// assert!(data[3..5].iter().all_equal());
+ /// assert!(data[5..8].iter().all_equal());
+ ///
+ /// let data : Option<usize> = None;
+ /// assert!(data.into_iter().all_equal());
+ /// ```
+ fn all_equal(&mut self) -> bool
+ where
+ Self: Sized,
+ Self::Item: PartialEq,
+ {
+ match self.next() {
+ None => true,
+ Some(a) => self.all(|x| a == x),
+ }
+ }
+
+ /// If there are elements and they are all equal, return a single copy of that element.
+ /// If there are no elements, return an Error containing None.
+ /// If there are elements and they are not all equal, return a tuple containing the first
+ /// two non-equal elements found.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec![1, 1, 1, 2, 2, 3, 3, 3, 4, 5, 5];
+ /// assert_eq!(data.iter().all_equal_value(), Err(Some((&1, &2))));
+ /// assert_eq!(data[0..3].iter().all_equal_value(), Ok(&1));
+ /// assert_eq!(data[3..5].iter().all_equal_value(), Ok(&2));
+ /// assert_eq!(data[5..8].iter().all_equal_value(), Ok(&3));
+ ///
+ /// let data : Option<usize> = None;
+ /// assert_eq!(data.into_iter().all_equal_value(), Err(None));
+ /// ```
+ #[allow(clippy::type_complexity)]
+ fn all_equal_value(&mut self) -> Result<Self::Item, Option<(Self::Item, Self::Item)>>
+ where
+ Self: Sized,
+ Self::Item: PartialEq,
+ {
+ let first = self.next().ok_or(None)?;
+ let other = self.find(|x| x != &first);
+ if let Some(other) = other {
+ Err(Some((first, other)))
+ } else {
+ Ok(first)
+ }
+ }
+
+ /// Check whether all elements are unique (non equal).
+ ///
+ /// Empty iterators are considered to have unique elements:
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec![1, 2, 3, 4, 1, 5];
+ /// assert!(!data.iter().all_unique());
+ /// assert!(data[0..4].iter().all_unique());
+ /// assert!(data[1..6].iter().all_unique());
+ ///
+ /// let data : Option<usize> = None;
+ /// assert!(data.into_iter().all_unique());
+ /// ```
+ #[cfg(feature = "use_std")]
+ fn all_unique(&mut self) -> bool
+ where
+ Self: Sized,
+ Self::Item: Eq + Hash,
+ {
+ let mut used = HashSet::new();
+ self.all(move |elt| used.insert(elt))
+ }
+
+ /// Consume the first `n` elements from the iterator eagerly,
+ /// and return the same iterator again.
+ ///
+ /// It works similarly to `.skip(n)` except it is eager and
+ /// preserves the iterator type.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let iter = "αβγ".chars().dropping(2);
+ /// itertools::assert_equal(iter, "γ".chars());
+ /// ```
+ ///
+ /// *Fusing notes: if the iterator is exhausted by dropping,
+ /// the result of calling `.next()` again depends on the iterator implementation.*
+ fn dropping(mut self, n: usize) -> Self
+ where
+ Self: Sized,
+ {
+ if n > 0 {
+ self.nth(n - 1);
+ }
+ self
+ }
+
+ /// Consume the last `n` elements from the iterator eagerly,
+ /// and return the same iterator again.
+ ///
+ /// This is only possible on double ended iterators. `n` may be
+ /// larger than the number of elements.
+ ///
+ /// Note: This method is eager, dropping the back elements immediately and
+ /// preserves the iterator type.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let init = vec![0, 3, 6, 9].into_iter().dropping_back(1);
+ /// itertools::assert_equal(init, vec![0, 3, 6]);
+ /// ```
+ fn dropping_back(mut self, n: usize) -> Self
+ where
+ Self: Sized + DoubleEndedIterator,
+ {
+ if n > 0 {
+ (&mut self).rev().nth(n - 1);
+ }
+ self
+ }
+
+ /// Combine all an iterator's elements into one element by using [`Extend`].
+ ///
+ /// This combinator will extend the first item with each of the rest of the
+ /// items of the iterator. If the iterator is empty, the default value of
+ /// `I::Item` is returned.
+ ///
+ /// ```rust
+ /// use itertools::Itertools;
+ ///
+ /// let input = vec![vec![1], vec![2, 3], vec![4, 5, 6]];
+ /// assert_eq!(input.into_iter().concat(),
+ /// vec![1, 2, 3, 4, 5, 6]);
+ /// ```
+ fn concat(self) -> Self::Item
+ where
+ Self: Sized,
+ Self::Item:
+ Extend<<<Self as Iterator>::Item as IntoIterator>::Item> + IntoIterator + Default,
+ {
+ concat(self)
+ }
+
+ /// `.collect_vec()` is simply a type specialization of [`Iterator::collect`],
+ /// for convenience.
+ #[cfg(feature = "use_alloc")]
+ fn collect_vec(self) -> Vec<Self::Item>
+ where
+ Self: Sized,
+ {
+ self.collect()
+ }
+
+ /// `.try_collect()` is more convenient way of writing
+ /// `.collect::<Result<_, _>>()`
+ ///
+ /// # Example
+ ///
+ /// ```
+ /// use std::{fs, io};
+ /// use itertools::Itertools;
+ ///
+ /// fn process_dir_entries(entries: &[fs::DirEntry]) {
+ /// // ...
+ /// # let _ = entries;
+ /// }
+ ///
+ /// fn do_stuff() -> io::Result<()> {
+ /// let entries: Vec<_> = fs::read_dir(".")?.try_collect()?;
+ /// process_dir_entries(&entries);
+ ///
+ /// Ok(())
+ /// }
+ ///
+ /// # let _ = do_stuff;
+ /// ```
+ fn try_collect<T, U, E>(self) -> Result<U, E>
+ where
+ Self: Sized + Iterator<Item = Result<T, E>>,
+ Result<U, E>: FromIterator<Result<T, E>>,
+ {
+ self.collect()
+ }
+
+ /// Assign to each reference in `self` from the `from` iterator,
+ /// stopping at the shortest of the two iterators.
+ ///
+ /// The `from` iterator is queried for its next element before the `self`
+ /// iterator, and if either is exhausted the method is done.
+ ///
+ /// Return the number of elements written.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let mut xs = [0; 4];
+ /// xs.iter_mut().set_from(1..);
+ /// assert_eq!(xs, [1, 2, 3, 4]);
+ /// ```
+ #[inline]
+ fn set_from<'a, A: 'a, J>(&mut self, from: J) -> usize
+ where
+ Self: Iterator<Item = &'a mut A>,
+ J: IntoIterator<Item = A>,
+ {
+ from.into_iter()
+ .zip(self)
+ .map(|(new, old)| *old = new)
+ .count()
+ }
+
+ /// Combine all iterator elements into one `String`, separated by `sep`.
+ ///
+ /// Use the `Display` implementation of each element.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// assert_eq!(["a", "b", "c"].iter().join(", "), "a, b, c");
+ /// assert_eq!([1, 2, 3].iter().join(", "), "1, 2, 3");
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn join(&mut self, sep: &str) -> String
+ where
+ Self::Item: std::fmt::Display,
+ {
+ match self.next() {
+ None => String::new(),
+ Some(first_elt) => {
+ // estimate lower bound of capacity needed
+ let (lower, _) = self.size_hint();
+ let mut result = String::with_capacity(sep.len() * lower);
+ write!(&mut result, "{}", first_elt).unwrap();
+ self.for_each(|elt| {
+ result.push_str(sep);
+ write!(&mut result, "{}", elt).unwrap();
+ });
+ result
+ }
+ }
+ }
+
+ /// Format all iterator elements, separated by `sep`.
+ ///
+ /// All elements are formatted (any formatting trait)
+ /// with `sep` inserted between each element.
+ ///
+ /// **Panics** if the formatter helper is formatted more than once.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = [1.1, 2.71828, -3.];
+ /// assert_eq!(
+ /// format!("{:.2}", data.iter().format(", ")),
+ /// "1.10, 2.72, -3.00");
+ /// ```
+ fn format(self, sep: &str) -> Format<Self>
+ where
+ Self: Sized,
+ {
+ format::new_format_default(self, sep)
+ }
+
+ /// Format all iterator elements, separated by `sep`.
+ ///
+ /// This is a customizable version of [`.format()`](Itertools::format).
+ ///
+ /// The supplied closure `format` is called once per iterator element,
+ /// with two arguments: the element and a callback that takes a
+ /// `&Display` value, i.e. any reference to type that implements `Display`.
+ ///
+ /// Using `&format_args!(...)` is the most versatile way to apply custom
+ /// element formatting. The callback can be called multiple times if needed.
+ ///
+ /// **Panics** if the formatter helper is formatted more than once.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = [1.1, 2.71828, -3.];
+ /// let data_formatter = data.iter().format_with(", ", |elt, f| f(&format_args!("{:.2}", elt)));
+ /// assert_eq!(format!("{}", data_formatter),
+ /// "1.10, 2.72, -3.00");
+ ///
+ /// // .format_with() is recursively composable
+ /// let matrix = [[1., 2., 3.],
+ /// [4., 5., 6.]];
+ /// let matrix_formatter = matrix.iter().format_with("\n", |row, f| {
+ /// f(&row.iter().format_with(", ", |elt, g| g(&elt)))
+ /// });
+ /// assert_eq!(format!("{}", matrix_formatter),
+ /// "1, 2, 3\n4, 5, 6");
+ ///
+ ///
+ /// ```
+ fn format_with<F>(self, sep: &str, format: F) -> FormatWith<Self, F>
+ where
+ Self: Sized,
+ F: FnMut(Self::Item, &mut dyn FnMut(&dyn fmt::Display) -> fmt::Result) -> fmt::Result,
+ {
+ format::new_format(self, sep, format)
+ }
+
+ /// Fold `Result` values from an iterator.
+ ///
+ /// Only `Ok` values are folded. If no error is encountered, the folded
+ /// value is returned inside `Ok`. Otherwise, the operation terminates
+ /// and returns the first `Err` value it encounters. No iterator elements are
+ /// consumed after the first error.
+ ///
+ /// The first accumulator value is the `start` parameter.
+ /// Each iteration passes the accumulator value and the next value inside `Ok`
+ /// to the fold function `f` and its return value becomes the new accumulator value.
+ ///
+ /// For example the sequence *Ok(1), Ok(2), Ok(3)* will result in a
+ /// computation like this:
+ ///
+ /// ```no_run
+ /// # let start = 0;
+ /// # let f = |x, y| x + y;
+ /// let mut accum = start;
+ /// accum = f(accum, 1);
+ /// accum = f(accum, 2);
+ /// accum = f(accum, 3);
+ /// # let _ = accum;
+ /// ```
+ ///
+ /// With a `start` value of 0 and an addition as folding function,
+ /// this effectively results in *((0 + 1) + 2) + 3*
+ ///
+ /// ```
+ /// use std::ops::Add;
+ /// use itertools::Itertools;
+ ///
+ /// let values = [1, 2, -2, -1, 2, 1];
+ /// assert_eq!(
+ /// values.iter()
+ /// .map(Ok::<_, ()>)
+ /// .fold_ok(0, Add::add),
+ /// Ok(3)
+ /// );
+ /// assert!(
+ /// values.iter()
+ /// .map(|&x| if x >= 0 { Ok(x) } else { Err("Negative number") })
+ /// .fold_ok(0, Add::add)
+ /// .is_err()
+ /// );
+ /// ```
+ fn fold_ok<A, E, B, F>(&mut self, mut start: B, mut f: F) -> Result<B, E>
+ where
+ Self: Iterator<Item = Result<A, E>>,
+ F: FnMut(B, A) -> B,
+ {
+ for elt in self {
+ match elt {
+ Ok(v) => start = f(start, v),
+ Err(u) => return Err(u),
+ }
+ }
+ Ok(start)
+ }
+
+ /// Fold `Option` values from an iterator.
+ ///
+ /// Only `Some` values are folded. If no `None` is encountered, the folded
+ /// value is returned inside `Some`. Otherwise, the operation terminates
+ /// and returns `None`. No iterator elements are consumed after the `None`.
+ ///
+ /// This is the `Option` equivalent to [`fold_ok`](Itertools::fold_ok).
+ ///
+ /// ```
+ /// use std::ops::Add;
+ /// use itertools::Itertools;
+ ///
+ /// let mut values = vec![Some(1), Some(2), Some(-2)].into_iter();
+ /// assert_eq!(values.fold_options(5, Add::add), Some(5 + 1 + 2 - 2));
+ ///
+ /// let mut more_values = vec![Some(2), None, Some(0)].into_iter();
+ /// assert!(more_values.fold_options(0, Add::add).is_none());
+ /// assert_eq!(more_values.next().unwrap(), Some(0));
+ /// ```
+ fn fold_options<A, B, F>(&mut self, mut start: B, mut f: F) -> Option<B>
+ where
+ Self: Iterator<Item = Option<A>>,
+ F: FnMut(B, A) -> B,
+ {
+ for elt in self {
+ match elt {
+ Some(v) => start = f(start, v),
+ None => return None,
+ }
+ }
+ Some(start)
+ }
+
+ /// Accumulator of the elements in the iterator.
+ ///
+ /// Like `.fold()`, without a base case. If the iterator is
+ /// empty, return `None`. With just one element, return it.
+ /// Otherwise elements are accumulated in sequence using the closure `f`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// assert_eq!((0..10).fold1(|x, y| x + y).unwrap_or(0), 45);
+ /// assert_eq!((0..0).fold1(|x, y| x * y), None);
+ /// ```
+ #[deprecated(
+ note = "Use [`Iterator::reduce`](https://doc.rust-lang.org/std/iter/trait.Iterator.html#method.reduce) instead",
+ since = "0.10.2"
+ )]
+ fn fold1<F>(mut self, f: F) -> Option<Self::Item>
+ where
+ F: FnMut(Self::Item, Self::Item) -> Self::Item,
+ Self: Sized,
+ {
+ self.next().map(move |x| self.fold(x, f))
+ }
+
+ /// Accumulate the elements in the iterator in a tree-like manner.
+ ///
+ /// You can think of it as, while there's more than one item, repeatedly
+ /// combining adjacent items. It does so in bottom-up-merge-sort order,
+ /// however, so that it needs only logarithmic stack space.
+ ///
+ /// This produces a call tree like the following (where the calls under
+ /// an item are done after reading that item):
+ ///
+ /// ```text
+ /// 1 2 3 4 5 6 7
+ /// │ │ │ │ │ │ │
+ /// └─f └─f └─f │
+ /// │ │ │ │
+ /// └───f └─f
+ /// │ │
+ /// └─────f
+ /// ```
+ ///
+ /// Which, for non-associative functions, will typically produce a different
+ /// result than the linear call tree used by [`Iterator::reduce`]:
+ ///
+ /// ```text
+ /// 1 2 3 4 5 6 7
+ /// │ │ │ │ │ │ │
+ /// └─f─f─f─f─f─f
+ /// ```
+ ///
+ /// If `f` is associative you should also decide carefully:
+ ///
+ /// For an iterator producing `n` elements, both [`Iterator::reduce`] and `tree_reduce` will
+ /// call `f` `n - 1` times. However, `tree_reduce` will call `f` on earlier intermediate
+ /// results, which is beneficial for `f` that allocate and produce longer results for longer
+ /// arguments. For example if `f` combines arguments using `format!`, then `tree_reduce` will
+ /// operate on average on shorter arguments resulting in less bytes being allocated overall.
+ ///
+ /// Moreover, the output of `tree_reduce` is preferable to that of [`Iterator::reduce`] in
+ /// certain cases. For example, building a binary search tree using `tree_reduce` will result in
+ /// a balanced tree with height `O(ln(n))`, while [`Iterator::reduce`] will output a tree with
+ /// height `O(n)`, essentially a linked list.
+ ///
+ /// If `f` does not benefit from such a reordering, like `u32::wrapping_add`, prefer the
+ /// normal [`Iterator::reduce`] instead since it will most likely result in the generation of
+ /// simpler code because the compiler is able to optimize it.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let f = |a: String, b: String| {
+ /// format!("f({a}, {b})")
+ /// };
+ ///
+ /// // The same tree as above
+ /// assert_eq!((1..8).map(|x| x.to_string()).tree_reduce(f),
+ /// Some(String::from("f(f(f(1, 2), f(3, 4)), f(f(5, 6), 7))")));
+ ///
+ /// // Like reduce, an empty iterator produces None
+ /// assert_eq!((0..0).tree_reduce(|x, y| x * y), None);
+ ///
+ /// // tree_reduce matches reduce for associative operations...
+ /// assert_eq!((0..10).tree_reduce(|x, y| x + y),
+ /// (0..10).reduce(|x, y| x + y));
+ ///
+ /// // ...but not for non-associative ones
+ /// assert_ne!((0..10).tree_reduce(|x, y| x - y),
+ /// (0..10).reduce(|x, y| x - y));
+ ///
+ /// let mut total_len_reduce = 0;
+ /// let reduce_res = (1..100).map(|x| x.to_string())
+ /// .reduce(|a, b| {
+ /// let r = f(a, b);
+ /// total_len_reduce += r.len();
+ /// r
+ /// })
+ /// .unwrap();
+ ///
+ /// let mut total_len_tree_reduce = 0;
+ /// let tree_reduce_res = (1..100).map(|x| x.to_string())
+ /// .tree_reduce(|a, b| {
+ /// let r = f(a, b);
+ /// total_len_tree_reduce += r.len();
+ /// r
+ /// })
+ /// .unwrap();
+ ///
+ /// assert_eq!(total_len_reduce, 33299);
+ /// assert_eq!(total_len_tree_reduce, 4228);
+ /// assert_eq!(reduce_res.len(), tree_reduce_res.len());
+ /// ```
+ fn tree_reduce<F>(mut self, mut f: F) -> Option<Self::Item>
+ where
+ F: FnMut(Self::Item, Self::Item) -> Self::Item,
+ Self: Sized,
+ {
+ type State<T> = Result<T, Option<T>>;
+
+ fn inner0<T, II, FF>(it: &mut II, f: &mut FF) -> State<T>
+ where
+ II: Iterator<Item = T>,
+ FF: FnMut(T, T) -> T,
+ {
+ // This function could be replaced with `it.next().ok_or(None)`,
+ // but half the useful tree_reduce work is combining adjacent items,
+ // so put that in a form that LLVM is more likely to optimize well.
+
+ let a = if let Some(v) = it.next() {
+ v
+ } else {
+ return Err(None);
+ };
+ let b = if let Some(v) = it.next() {
+ v
+ } else {
+ return Err(Some(a));
+ };
+ Ok(f(a, b))
+ }
+
+ fn inner<T, II, FF>(stop: usize, it: &mut II, f: &mut FF) -> State<T>
+ where
+ II: Iterator<Item = T>,
+ FF: FnMut(T, T) -> T,
+ {
+ let mut x = inner0(it, f)?;
+ for height in 0..stop {
+ // Try to get another tree the same size with which to combine it,
+ // creating a new tree that's twice as big for next time around.
+ let next = if height == 0 {
+ inner0(it, f)
+ } else {
+ inner(height, it, f)
+ };
+ match next {
+ Ok(y) => x = f(x, y),
+
+ // If we ran out of items, combine whatever we did manage
+ // to get. It's better combined with the current value
+ // than something in a parent frame, because the tree in
+ // the parent is always as least as big as this one.
+ Err(None) => return Err(Some(x)),
+ Err(Some(y)) => return Err(Some(f(x, y))),
+ }
+ }
+ Ok(x)
+ }
+
+ match inner(usize::MAX, &mut self, &mut f) {
+ Err(x) => x,
+ _ => unreachable!(),
+ }
+ }
+
+ /// See [`.tree_reduce()`](Itertools::tree_reduce).
+ #[deprecated(note = "Use .tree_reduce() instead", since = "0.13.0")]
+ fn tree_fold1<F>(self, f: F) -> Option<Self::Item>
+ where
+ F: FnMut(Self::Item, Self::Item) -> Self::Item,
+ Self: Sized,
+ {
+ self.tree_reduce(f)
+ }
+
+ /// An iterator method that applies a function, producing a single, final value.
+ ///
+ /// `fold_while()` is basically equivalent to [`Iterator::fold`] but with additional support for
+ /// early exit via short-circuiting.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// use itertools::FoldWhile::{Continue, Done};
+ ///
+ /// let numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
+ ///
+ /// let mut result = 0;
+ ///
+ /// // for loop:
+ /// for i in &numbers {
+ /// if *i > 5 {
+ /// break;
+ /// }
+ /// result = result + i;
+ /// }
+ ///
+ /// // fold:
+ /// let result2 = numbers.iter().fold(0, |acc, x| {
+ /// if *x > 5 { acc } else { acc + x }
+ /// });
+ ///
+ /// // fold_while:
+ /// let result3 = numbers.iter().fold_while(0, |acc, x| {
+ /// if *x > 5 { Done(acc) } else { Continue(acc + x) }
+ /// }).into_inner();
+ ///
+ /// // they're the same
+ /// assert_eq!(result, result2);
+ /// assert_eq!(result2, result3);
+ /// ```
+ ///
+ /// The big difference between the computations of `result2` and `result3` is that while
+ /// `fold()` called the provided closure for every item of the callee iterator,
+ /// `fold_while()` actually stopped iterating as soon as it encountered `Fold::Done(_)`.
+ fn fold_while<B, F>(&mut self, init: B, mut f: F) -> FoldWhile<B>
+ where
+ Self: Sized,
+ F: FnMut(B, Self::Item) -> FoldWhile<B>,
+ {
+ use Result::{Err as Break, Ok as Continue};
+
+ let result = self.try_fold(
+ init,
+ #[inline(always)]
+ |acc, v| match f(acc, v) {
+ FoldWhile::Continue(acc) => Continue(acc),
+ FoldWhile::Done(acc) => Break(acc),
+ },
+ );
+
+ match result {
+ Continue(acc) => FoldWhile::Continue(acc),
+ Break(acc) => FoldWhile::Done(acc),
+ }
+ }
+
+ /// Iterate over the entire iterator and add all the elements.
+ ///
+ /// An empty iterator returns `None`, otherwise `Some(sum)`.
+ ///
+ /// # Panics
+ ///
+ /// When calling `sum1()` and a primitive integer type is being returned, this
+ /// method will panic if the computation overflows and debug assertions are
+ /// enabled.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let empty_sum = (1..1).sum1::<i32>();
+ /// assert_eq!(empty_sum, None);
+ ///
+ /// let nonempty_sum = (1..11).sum1::<i32>();
+ /// assert_eq!(nonempty_sum, Some(55));
+ /// ```
+ fn sum1<S>(mut self) -> Option<S>
+ where
+ Self: Sized,
+ S: std::iter::Sum<Self::Item>,
+ {
+ self.next().map(|first| once(first).chain(self).sum())
+ }
+
+ /// Iterate over the entire iterator and multiply all the elements.
+ ///
+ /// An empty iterator returns `None`, otherwise `Some(product)`.
+ ///
+ /// # Panics
+ ///
+ /// When calling `product1()` and a primitive integer type is being returned,
+ /// method will panic if the computation overflows and debug assertions are
+ /// enabled.
+ ///
+ /// # Examples
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let empty_product = (1..1).product1::<i32>();
+ /// assert_eq!(empty_product, None);
+ ///
+ /// let nonempty_product = (1..11).product1::<i32>();
+ /// assert_eq!(nonempty_product, Some(3628800));
+ /// ```
+ fn product1<P>(mut self) -> Option<P>
+ where
+ Self: Sized,
+ P: std::iter::Product<Self::Item>,
+ {
+ self.next().map(|first| once(first).chain(self).product())
+ }
+
+ /// Sort all iterator elements into a new iterator in ascending order.
+ ///
+ /// **Note:** This consumes the entire iterator, uses the
+ /// [`slice::sort_unstable`] method and returns the result as a new
+ /// iterator that owns its elements.
+ ///
+ /// This sort is unstable (i.e., may reorder equal elements).
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // sort the letters of the text in ascending order
+ /// let text = "bdacfe";
+ /// itertools::assert_equal(text.chars().sorted_unstable(),
+ /// "abcdef".chars());
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn sorted_unstable(self) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ Self::Item: Ord,
+ {
+ // Use .sort_unstable() directly since it is not quite identical with
+ // .sort_by(Ord::cmp)
+ let mut v = Vec::from_iter(self);
+ v.sort_unstable();
+ v.into_iter()
+ }
+
+ /// Sort all iterator elements into a new iterator in ascending order.
+ ///
+ /// **Note:** This consumes the entire iterator, uses the
+ /// [`slice::sort_unstable_by`] method and returns the result as a new
+ /// iterator that owns its elements.
+ ///
+ /// This sort is unstable (i.e., may reorder equal elements).
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // sort people in descending order by age
+ /// let people = vec![("Jane", 20), ("John", 18), ("Jill", 30), ("Jack", 27)];
+ ///
+ /// let oldest_people_first = people
+ /// .into_iter()
+ /// .sorted_unstable_by(|a, b| Ord::cmp(&b.1, &a.1))
+ /// .map(|(person, _age)| person);
+ ///
+ /// itertools::assert_equal(oldest_people_first,
+ /// vec!["Jill", "Jack", "Jane", "John"]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn sorted_unstable_by<F>(self, cmp: F) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item, &Self::Item) -> Ordering,
+ {
+ let mut v = Vec::from_iter(self);
+ v.sort_unstable_by(cmp);
+ v.into_iter()
+ }
+
+ /// Sort all iterator elements into a new iterator in ascending order.
+ ///
+ /// **Note:** This consumes the entire iterator, uses the
+ /// [`slice::sort_unstable_by_key`] method and returns the result as a new
+ /// iterator that owns its elements.
+ ///
+ /// This sort is unstable (i.e., may reorder equal elements).
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // sort people in descending order by age
+ /// let people = vec![("Jane", 20), ("John", 18), ("Jill", 30), ("Jack", 27)];
+ ///
+ /// let oldest_people_first = people
+ /// .into_iter()
+ /// .sorted_unstable_by_key(|x| -x.1)
+ /// .map(|(person, _age)| person);
+ ///
+ /// itertools::assert_equal(oldest_people_first,
+ /// vec!["Jill", "Jack", "Jane", "John"]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn sorted_unstable_by_key<K, F>(self, f: F) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ K: Ord,
+ F: FnMut(&Self::Item) -> K,
+ {
+ let mut v = Vec::from_iter(self);
+ v.sort_unstable_by_key(f);
+ v.into_iter()
+ }
+
+ /// Sort all iterator elements into a new iterator in ascending order.
+ ///
+ /// **Note:** This consumes the entire iterator, uses the
+ /// [`slice::sort`] method and returns the result as a new
+ /// iterator that owns its elements.
+ ///
+ /// This sort is stable (i.e., does not reorder equal elements).
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // sort the letters of the text in ascending order
+ /// let text = "bdacfe";
+ /// itertools::assert_equal(text.chars().sorted(),
+ /// "abcdef".chars());
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn sorted(self) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ Self::Item: Ord,
+ {
+ // Use .sort() directly since it is not quite identical with
+ // .sort_by(Ord::cmp)
+ let mut v = Vec::from_iter(self);
+ v.sort();
+ v.into_iter()
+ }
+
+ /// Sort all iterator elements into a new iterator in ascending order.
+ ///
+ /// **Note:** This consumes the entire iterator, uses the
+ /// [`slice::sort_by`] method and returns the result as a new
+ /// iterator that owns its elements.
+ ///
+ /// This sort is stable (i.e., does not reorder equal elements).
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // sort people in descending order by age
+ /// let people = vec![("Jane", 20), ("John", 18), ("Jill", 30), ("Jack", 30)];
+ ///
+ /// let oldest_people_first = people
+ /// .into_iter()
+ /// .sorted_by(|a, b| Ord::cmp(&b.1, &a.1))
+ /// .map(|(person, _age)| person);
+ ///
+ /// itertools::assert_equal(oldest_people_first,
+ /// vec!["Jill", "Jack", "Jane", "John"]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn sorted_by<F>(self, cmp: F) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item, &Self::Item) -> Ordering,
+ {
+ let mut v = Vec::from_iter(self);
+ v.sort_by(cmp);
+ v.into_iter()
+ }
+
+ /// Sort all iterator elements into a new iterator in ascending order.
+ ///
+ /// **Note:** This consumes the entire iterator, uses the
+ /// [`slice::sort_by_key`] method and returns the result as a new
+ /// iterator that owns its elements.
+ ///
+ /// This sort is stable (i.e., does not reorder equal elements).
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // sort people in descending order by age
+ /// let people = vec![("Jane", 20), ("John", 18), ("Jill", 30), ("Jack", 30)];
+ ///
+ /// let oldest_people_first = people
+ /// .into_iter()
+ /// .sorted_by_key(|x| -x.1)
+ /// .map(|(person, _age)| person);
+ ///
+ /// itertools::assert_equal(oldest_people_first,
+ /// vec!["Jill", "Jack", "Jane", "John"]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn sorted_by_key<K, F>(self, f: F) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ K: Ord,
+ F: FnMut(&Self::Item) -> K,
+ {
+ let mut v = Vec::from_iter(self);
+ v.sort_by_key(f);
+ v.into_iter()
+ }
+
+ /// Sort all iterator elements into a new iterator in ascending order. The key function is
+ /// called exactly once per key.
+ ///
+ /// **Note:** This consumes the entire iterator, uses the
+ /// [`slice::sort_by_cached_key`] method and returns the result as a new
+ /// iterator that owns its elements.
+ ///
+ /// This sort is stable (i.e., does not reorder equal elements).
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // sort people in descending order by age
+ /// let people = vec![("Jane", 20), ("John", 18), ("Jill", 30), ("Jack", 30)];
+ ///
+ /// let oldest_people_first = people
+ /// .into_iter()
+ /// .sorted_by_cached_key(|x| -x.1)
+ /// .map(|(person, _age)| person);
+ ///
+ /// itertools::assert_equal(oldest_people_first,
+ /// vec!["Jill", "Jack", "Jane", "John"]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn sorted_by_cached_key<K, F>(self, f: F) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ K: Ord,
+ F: FnMut(&Self::Item) -> K,
+ {
+ let mut v = Vec::from_iter(self);
+ v.sort_by_cached_key(f);
+ v.into_iter()
+ }
+
+ /// Sort the k smallest elements into a new iterator, in ascending order.
+ ///
+ /// **Note:** This consumes the entire iterator, and returns the result
+ /// as a new iterator that owns its elements. If the input contains
+ /// less than k elements, the result is equivalent to `self.sorted()`.
+ ///
+ /// This is guaranteed to use `k * sizeof(Self::Item) + O(1)` memory
+ /// and `O(n log k)` time, with `n` the number of elements in the input.
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// **Note:** This is functionally-equivalent to `self.sorted().take(k)`
+ /// but much more efficient.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // A random permutation of 0..15
+ /// let numbers = vec![6, 9, 1, 14, 0, 4, 8, 7, 11, 2, 10, 3, 13, 12, 5];
+ ///
+ /// let five_smallest = numbers
+ /// .into_iter()
+ /// .k_smallest(5);
+ ///
+ /// itertools::assert_equal(five_smallest, 0..5);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn k_smallest(self, k: usize) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ Self::Item: Ord,
+ {
+ // The stdlib heap has optimised handling of "holes", which is not included in our heap implementation in k_smallest_general.
+ // While the difference is unlikely to have practical impact unless `Self::Item` is very large, this method uses the stdlib structure
+ // to maintain performance compared to previous versions of the crate.
+ use alloc::collections::BinaryHeap;
+
+ if k == 0 {
+ self.last();
+ return Vec::new().into_iter();
+ }
+ if k == 1 {
+ return self.min().into_iter().collect_vec().into_iter();
+ }
+
+ let mut iter = self.fuse();
+ let mut heap: BinaryHeap<_> = iter.by_ref().take(k).collect();
+
+ iter.for_each(|i| {
+ debug_assert_eq!(heap.len(), k);
+ // Equivalent to heap.push(min(i, heap.pop())) but more efficient.
+ // This should be done with a single `.peek_mut().unwrap()` but
+ // `PeekMut` sifts-down unconditionally on Rust 1.46.0 and prior.
+ if *heap.peek().unwrap() > i {
+ *heap.peek_mut().unwrap() = i;
+ }
+ });
+
+ heap.into_sorted_vec().into_iter()
+ }
+
+ /// Sort the k smallest elements into a new iterator using the provided comparison.
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// This corresponds to `self.sorted_by(cmp).take(k)` in the same way that
+ /// [`k_smallest`](Itertools::k_smallest) corresponds to `self.sorted().take(k)`,
+ /// in both semantics and complexity.
+ ///
+ /// Particularly, a custom heap implementation ensures the comparison is not cloned.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // A random permutation of 0..15
+ /// let numbers = vec![6, 9, 1, 14, 0, 4, 8, 7, 11, 2, 10, 3, 13, 12, 5];
+ ///
+ /// let five_smallest = numbers
+ /// .into_iter()
+ /// .k_smallest_by(5, |a, b| (a % 7).cmp(&(b % 7)).then(a.cmp(b)));
+ ///
+ /// itertools::assert_equal(five_smallest, vec![0, 7, 14, 1, 8]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn k_smallest_by<F>(self, k: usize, cmp: F) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item, &Self::Item) -> Ordering,
+ {
+ k_smallest::k_smallest_general(self, k, cmp).into_iter()
+ }
+
+ /// Return the elements producing the k smallest outputs of the provided function.
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// This corresponds to `self.sorted_by_key(key).take(k)` in the same way that
+ /// [`k_smallest`](Itertools::k_smallest) corresponds to `self.sorted().take(k)`,
+ /// in both semantics and complexity.
+ ///
+ /// Particularly, a custom heap implementation ensures the comparison is not cloned.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // A random permutation of 0..15
+ /// let numbers = vec![6, 9, 1, 14, 0, 4, 8, 7, 11, 2, 10, 3, 13, 12, 5];
+ ///
+ /// let five_smallest = numbers
+ /// .into_iter()
+ /// .k_smallest_by_key(5, |n| (n % 7, *n));
+ ///
+ /// itertools::assert_equal(five_smallest, vec![0, 7, 14, 1, 8]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn k_smallest_by_key<F, K>(self, k: usize, key: F) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item) -> K,
+ K: Ord,
+ {
+ self.k_smallest_by(k, k_smallest::key_to_cmp(key))
+ }
+
+ /// Sort the k smallest elements into a new iterator, in ascending order, relaxing the amount of memory required.
+ ///
+ /// **Note:** This consumes the entire iterator, and returns the result
+ /// as a new iterator that owns its elements. If the input contains
+ /// less than k elements, the result is equivalent to `self.sorted()`.
+ ///
+ /// This is guaranteed to use `2 * k * sizeof(Self::Item) + O(1)` memory
+ /// and `O(n + k log k)` time, with `n` the number of elements in the input,
+ /// meaning it uses more memory than the minimum obtained by [`k_smallest`](Itertools::k_smallest)
+ /// but achieves linear time in the number of elements.
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// **Note:** This is functionally-equivalent to `self.sorted().take(k)`
+ /// but much more efficient.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // A random permutation of 0..15
+ /// let numbers = vec![6, 9, 1, 14, 0, 4, 8, 7, 11, 2, 10, 3, 13, 12, 5];
+ ///
+ /// let five_smallest = numbers
+ /// .into_iter()
+ /// .k_smallest_relaxed(5);
+ ///
+ /// itertools::assert_equal(five_smallest, 0..5);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn k_smallest_relaxed(self, k: usize) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ Self::Item: Ord,
+ {
+ self.k_smallest_relaxed_by(k, Ord::cmp)
+ }
+
+ /// Sort the k smallest elements into a new iterator using the provided comparison, relaxing the amount of memory required.
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// This corresponds to `self.sorted_by(cmp).take(k)` in the same way that
+ /// [`k_smallest_relaxed`](Itertools::k_smallest_relaxed) corresponds to `self.sorted().take(k)`,
+ /// in both semantics and complexity.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // A random permutation of 0..15
+ /// let numbers = vec![6, 9, 1, 14, 0, 4, 8, 7, 11, 2, 10, 3, 13, 12, 5];
+ ///
+ /// let five_smallest = numbers
+ /// .into_iter()
+ /// .k_smallest_relaxed_by(5, |a, b| (a % 7).cmp(&(b % 7)).then(a.cmp(b)));
+ ///
+ /// itertools::assert_equal(five_smallest, vec![0, 7, 14, 1, 8]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn k_smallest_relaxed_by<F>(self, k: usize, cmp: F) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item, &Self::Item) -> Ordering,
+ {
+ k_smallest::k_smallest_relaxed_general(self, k, cmp).into_iter()
+ }
+
+ /// Return the elements producing the k smallest outputs of the provided function, relaxing the amount of memory required.
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// This corresponds to `self.sorted_by_key(key).take(k)` in the same way that
+ /// [`k_smallest_relaxed`](Itertools::k_smallest_relaxed) corresponds to `self.sorted().take(k)`,
+ /// in both semantics and complexity.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // A random permutation of 0..15
+ /// let numbers = vec![6, 9, 1, 14, 0, 4, 8, 7, 11, 2, 10, 3, 13, 12, 5];
+ ///
+ /// let five_smallest = numbers
+ /// .into_iter()
+ /// .k_smallest_relaxed_by_key(5, |n| (n % 7, *n));
+ ///
+ /// itertools::assert_equal(five_smallest, vec![0, 7, 14, 1, 8]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn k_smallest_relaxed_by_key<F, K>(self, k: usize, key: F) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item) -> K,
+ K: Ord,
+ {
+ self.k_smallest_relaxed_by(k, k_smallest::key_to_cmp(key))
+ }
+
+ /// Sort the k largest elements into a new iterator, in descending order.
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// It is semantically equivalent to [`k_smallest`](Itertools::k_smallest)
+ /// with a reversed `Ord`.
+ /// However, this is implemented with a custom binary heap which does not
+ /// have the same performance characteristics for very large `Self::Item`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // A random permutation of 0..15
+ /// let numbers = vec![6, 9, 1, 14, 0, 4, 8, 7, 11, 2, 10, 3, 13, 12, 5];
+ ///
+ /// let five_largest = numbers
+ /// .into_iter()
+ /// .k_largest(5);
+ ///
+ /// itertools::assert_equal(five_largest, vec![14, 13, 12, 11, 10]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn k_largest(self, k: usize) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ Self::Item: Ord,
+ {
+ self.k_largest_by(k, Self::Item::cmp)
+ }
+
+ /// Sort the k largest elements into a new iterator using the provided comparison.
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// Functionally equivalent to [`k_smallest_by`](Itertools::k_smallest_by)
+ /// with a reversed `Ord`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // A random permutation of 0..15
+ /// let numbers = vec![6, 9, 1, 14, 0, 4, 8, 7, 11, 2, 10, 3, 13, 12, 5];
+ ///
+ /// let five_largest = numbers
+ /// .into_iter()
+ /// .k_largest_by(5, |a, b| (a % 7).cmp(&(b % 7)).then(a.cmp(b)));
+ ///
+ /// itertools::assert_equal(five_largest, vec![13, 6, 12, 5, 11]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn k_largest_by<F>(self, k: usize, mut cmp: F) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item, &Self::Item) -> Ordering,
+ {
+ self.k_smallest_by(k, move |a, b| cmp(b, a))
+ }
+
+ /// Return the elements producing the k largest outputs of the provided function.
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// Functionally equivalent to [`k_smallest_by_key`](Itertools::k_smallest_by_key)
+ /// with a reversed `Ord`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // A random permutation of 0..15
+ /// let numbers = vec![6, 9, 1, 14, 0, 4, 8, 7, 11, 2, 10, 3, 13, 12, 5];
+ ///
+ /// let five_largest = numbers
+ /// .into_iter()
+ /// .k_largest_by_key(5, |n| (n % 7, *n));
+ ///
+ /// itertools::assert_equal(five_largest, vec![13, 6, 12, 5, 11]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn k_largest_by_key<F, K>(self, k: usize, key: F) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item) -> K,
+ K: Ord,
+ {
+ self.k_largest_by(k, k_smallest::key_to_cmp(key))
+ }
+
+ /// Sort the k largest elements into a new iterator, in descending order, relaxing the amount of memory required.
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// It is semantically equivalent to [`k_smallest_relaxed`](Itertools::k_smallest_relaxed)
+ /// with a reversed `Ord`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // A random permutation of 0..15
+ /// let numbers = vec![6, 9, 1, 14, 0, 4, 8, 7, 11, 2, 10, 3, 13, 12, 5];
+ ///
+ /// let five_largest = numbers
+ /// .into_iter()
+ /// .k_largest_relaxed(5);
+ ///
+ /// itertools::assert_equal(five_largest, vec![14, 13, 12, 11, 10]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn k_largest_relaxed(self, k: usize) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ Self::Item: Ord,
+ {
+ self.k_largest_relaxed_by(k, Self::Item::cmp)
+ }
+
+ /// Sort the k largest elements into a new iterator using the provided comparison, relaxing the amount of memory required.
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// Functionally equivalent to [`k_smallest_relaxed_by`](Itertools::k_smallest_relaxed_by)
+ /// with a reversed `Ord`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // A random permutation of 0..15
+ /// let numbers = vec![6, 9, 1, 14, 0, 4, 8, 7, 11, 2, 10, 3, 13, 12, 5];
+ ///
+ /// let five_largest = numbers
+ /// .into_iter()
+ /// .k_largest_relaxed_by(5, |a, b| (a % 7).cmp(&(b % 7)).then(a.cmp(b)));
+ ///
+ /// itertools::assert_equal(five_largest, vec![13, 6, 12, 5, 11]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn k_largest_relaxed_by<F>(self, k: usize, mut cmp: F) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item, &Self::Item) -> Ordering,
+ {
+ self.k_smallest_relaxed_by(k, move |a, b| cmp(b, a))
+ }
+
+ /// Return the elements producing the k largest outputs of the provided function, relaxing the amount of memory required.
+ ///
+ /// The sorted iterator, if directly collected to a `Vec`, is converted
+ /// without any extra copying or allocation cost.
+ ///
+ /// Functionally equivalent to [`k_smallest_relaxed_by_key`](Itertools::k_smallest_relaxed_by_key)
+ /// with a reversed `Ord`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// // A random permutation of 0..15
+ /// let numbers = vec![6, 9, 1, 14, 0, 4, 8, 7, 11, 2, 10, 3, 13, 12, 5];
+ ///
+ /// let five_largest = numbers
+ /// .into_iter()
+ /// .k_largest_relaxed_by_key(5, |n| (n % 7, *n));
+ ///
+ /// itertools::assert_equal(five_largest, vec![13, 6, 12, 5, 11]);
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn k_largest_relaxed_by_key<F, K>(self, k: usize, key: F) -> VecIntoIter<Self::Item>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item) -> K,
+ K: Ord,
+ {
+ self.k_largest_relaxed_by(k, k_smallest::key_to_cmp(key))
+ }
+
+ /// Consumes the iterator and return an iterator of the last `n` elements.
+ ///
+ /// The iterator, if directly collected to a `VecDeque`, is converted
+ /// without any extra copying or allocation cost.
+ /// If directly collected to a `Vec`, it may need some data movement
+ /// but no re-allocation.
+ ///
+ /// ```
+ /// use itertools::{assert_equal, Itertools};
+ ///
+ /// let v = vec![5, 9, 8, 4, 2, 12, 0];
+ /// assert_equal(v.iter().tail(3), &[2, 12, 0]);
+ /// assert_equal(v.iter().tail(10), &v);
+ ///
+ /// assert_equal(v.iter().tail(1), v.iter().last());
+ ///
+ /// assert_equal((0..100).tail(10), 90..100);
+ ///
+ /// assert_equal((0..100).filter(|x| x % 3 == 0).tail(10), (72..100).step_by(3));
+ /// ```
+ ///
+ /// For double ended iterators without side-effects, you might prefer
+ /// `.rev().take(n).rev()` to have a similar result (lazy and non-allocating)
+ /// without consuming the entire iterator.
+ #[cfg(feature = "use_alloc")]
+ fn tail(self, n: usize) -> VecDequeIntoIter<Self::Item>
+ where
+ Self: Sized,
+ {
+ match n {
+ 0 => {
+ self.last();
+ VecDeque::new()
+ }
+ 1 => self.last().into_iter().collect(),
+ _ => {
+ // Skip the starting part of the iterator if possible.
+ let (low, _) = self.size_hint();
+ let mut iter = self.fuse().skip(low.saturating_sub(n));
+ // TODO: If VecDeque has a more efficient method than
+ // `.pop_front();.push_back(val)` in the future then maybe revisit this.
+ let mut data: Vec<_> = iter.by_ref().take(n).collect();
+ // Update `data` cyclically.
+ let idx = iter.fold(0, |i, val| {
+ debug_assert_eq!(data.len(), n);
+ data[i] = val;
+ if i + 1 == n {
+ 0
+ } else {
+ i + 1
+ }
+ });
+ // Respect the insertion order, efficiently.
+ let mut data = VecDeque::from(data);
+ data.rotate_left(idx);
+ data
+ }
+ }
+ .into_iter()
+ }
+
+ /// Collect all iterator elements into one of two
+ /// partitions. Unlike [`Iterator::partition`], each partition may
+ /// have a distinct type.
+ ///
+ /// ```
+ /// use itertools::{Itertools, Either};
+ ///
+ /// let successes_and_failures = vec![Ok(1), Err(false), Err(true), Ok(2)];
+ ///
+ /// let (successes, failures): (Vec<_>, Vec<_>) = successes_and_failures
+ /// .into_iter()
+ /// .partition_map(|r| {
+ /// match r {
+ /// Ok(v) => Either::Left(v),
+ /// Err(v) => Either::Right(v),
+ /// }
+ /// });
+ ///
+ /// assert_eq!(successes, [1, 2]);
+ /// assert_eq!(failures, [false, true]);
+ /// ```
+ fn partition_map<A, B, F, L, R>(self, mut predicate: F) -> (A, B)
+ where
+ Self: Sized,
+ F: FnMut(Self::Item) -> Either<L, R>,
+ A: Default + Extend<L>,
+ B: Default + Extend<R>,
+ {
+ let mut left = A::default();
+ let mut right = B::default();
+
+ self.for_each(|val| match predicate(val) {
+ Either::Left(v) => left.extend(Some(v)),
+ Either::Right(v) => right.extend(Some(v)),
+ });
+
+ (left, right)
+ }
+
+ /// Partition a sequence of `Result`s into one list of all the `Ok` elements
+ /// and another list of all the `Err` elements.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let successes_and_failures = vec![Ok(1), Err(false), Err(true), Ok(2)];
+ ///
+ /// let (successes, failures): (Vec<_>, Vec<_>) = successes_and_failures
+ /// .into_iter()
+ /// .partition_result();
+ ///
+ /// assert_eq!(successes, [1, 2]);
+ /// assert_eq!(failures, [false, true]);
+ /// ```
+ fn partition_result<A, B, T, E>(self) -> (A, B)
+ where
+ Self: Iterator<Item = Result<T, E>> + Sized,
+ A: Default + Extend<T>,
+ B: Default + Extend<E>,
+ {
+ self.partition_map(|r| match r {
+ Ok(v) => Either::Left(v),
+ Err(v) => Either::Right(v),
+ })
+ }
+
+ /// Return a `HashMap` of keys mapped to `Vec`s of values. Keys and values
+ /// are taken from `(Key, Value)` tuple pairs yielded by the input iterator.
+ ///
+ /// Essentially a shorthand for `.into_grouping_map().collect::<Vec<_>>()`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let data = vec![(0, 10), (2, 12), (3, 13), (0, 20), (3, 33), (2, 42)];
+ /// let lookup = data.into_iter().into_group_map();
+ ///
+ /// assert_eq!(lookup[&0], vec![10, 20]);
+ /// assert_eq!(lookup.get(&1), None);
+ /// assert_eq!(lookup[&2], vec![12, 42]);
+ /// assert_eq!(lookup[&3], vec![13, 33]);
+ /// ```
+ #[cfg(feature = "use_std")]
+ fn into_group_map<K, V>(self) -> HashMap<K, Vec<V>>
+ where
+ Self: Iterator<Item = (K, V)> + Sized,
+ K: Hash + Eq,
+ {
+ group_map::into_group_map(self)
+ }
+
+ /// Return a `HashMap` of keys mapped to `Vec`s of values. The key is specified
+ /// in the closure. The values are taken from the input iterator.
+ ///
+ /// Essentially a shorthand for `.into_grouping_map_by(f).collect::<Vec<_>>()`.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// use std::collections::HashMap;
+ ///
+ /// let data = vec![(0, 10), (2, 12), (3, 13), (0, 20), (3, 33), (2, 42)];
+ /// let lookup: HashMap<u32,Vec<(u32, u32)>> =
+ /// data.clone().into_iter().into_group_map_by(|a| a.0);
+ ///
+ /// assert_eq!(lookup[&0], vec![(0,10), (0,20)]);
+ /// assert_eq!(lookup.get(&1), None);
+ /// assert_eq!(lookup[&2], vec![(2,12), (2,42)]);
+ /// assert_eq!(lookup[&3], vec![(3,13), (3,33)]);
+ ///
+ /// assert_eq!(
+ /// data.into_iter()
+ /// .into_group_map_by(|x| x.0)
+ /// .into_iter()
+ /// .map(|(key, values)| (key, values.into_iter().fold(0,|acc, (_,v)| acc + v )))
+ /// .collect::<HashMap<u32,u32>>()[&0],
+ /// 30,
+ /// );
+ /// ```
+ #[cfg(feature = "use_std")]
+ fn into_group_map_by<K, V, F>(self, f: F) -> HashMap<K, Vec<V>>
+ where
+ Self: Iterator<Item = V> + Sized,
+ K: Hash + Eq,
+ F: FnMut(&V) -> K,
+ {
+ group_map::into_group_map_by(self, f)
+ }
+
+ /// Constructs a `GroupingMap` to be used later with one of the efficient
+ /// group-and-fold operations it allows to perform.
+ ///
+ /// The input iterator must yield item in the form of `(K, V)` where the
+ /// value of type `K` will be used as key to identify the groups and the
+ /// value of type `V` as value for the folding operation.
+ ///
+ /// See [`GroupingMap`] for more informations
+ /// on what operations are available.
+ #[cfg(feature = "use_std")]
+ fn into_grouping_map<K, V>(self) -> GroupingMap<Self>
+ where
+ Self: Iterator<Item = (K, V)> + Sized,
+ K: Hash + Eq,
+ {
+ grouping_map::new(self)
+ }
+
+ /// Constructs a `GroupingMap` to be used later with one of the efficient
+ /// group-and-fold operations it allows to perform.
+ ///
+ /// The values from this iterator will be used as values for the folding operation
+ /// while the keys will be obtained from the values by calling `key_mapper`.
+ ///
+ /// See [`GroupingMap`] for more informations
+ /// on what operations are available.
+ #[cfg(feature = "use_std")]
+ fn into_grouping_map_by<K, V, F>(self, key_mapper: F) -> GroupingMapBy<Self, F>
+ where
+ Self: Iterator<Item = V> + Sized,
+ K: Hash + Eq,
+ F: FnMut(&V) -> K,
+ {
+ grouping_map::new(grouping_map::new_map_for_grouping(self, key_mapper))
+ }
+
+ /// Return all minimum elements of an iterator.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let a: [i32; 0] = [];
+ /// assert_eq!(a.iter().min_set(), Vec::<&i32>::new());
+ ///
+ /// let a = [1];
+ /// assert_eq!(a.iter().min_set(), vec![&1]);
+ ///
+ /// let a = [1, 2, 3, 4, 5];
+ /// assert_eq!(a.iter().min_set(), vec![&1]);
+ ///
+ /// let a = [1, 1, 1, 1];
+ /// assert_eq!(a.iter().min_set(), vec![&1, &1, &1, &1]);
+ /// ```
+ ///
+ /// The elements can be floats but no particular result is guaranteed
+ /// if an element is NaN.
+ #[cfg(feature = "use_alloc")]
+ fn min_set(self) -> Vec<Self::Item>
+ where
+ Self: Sized,
+ Self::Item: Ord,
+ {
+ extrema_set::min_set_impl(self, |_| (), |x, y, _, _| x.cmp(y))
+ }
+
+ /// Return all minimum elements of an iterator, as determined by
+ /// the specified function.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// # use std::cmp::Ordering;
+ /// use itertools::Itertools;
+ ///
+ /// let a: [(i32, i32); 0] = [];
+ /// assert_eq!(a.iter().min_set_by(|_, _| Ordering::Equal), Vec::<&(i32, i32)>::new());
+ ///
+ /// let a = [(1, 2)];
+ /// assert_eq!(a.iter().min_set_by(|&&(k1,_), &&(k2, _)| k1.cmp(&k2)), vec![&(1, 2)]);
+ ///
+ /// let a = [(1, 2), (2, 2), (3, 9), (4, 8), (5, 9)];
+ /// assert_eq!(a.iter().min_set_by(|&&(_,k1), &&(_,k2)| k1.cmp(&k2)), vec![&(1, 2), &(2, 2)]);
+ ///
+ /// let a = [(1, 2), (1, 3), (1, 4), (1, 5)];
+ /// assert_eq!(a.iter().min_set_by(|&&(k1,_), &&(k2, _)| k1.cmp(&k2)), vec![&(1, 2), &(1, 3), &(1, 4), &(1, 5)]);
+ /// ```
+ ///
+ /// The elements can be floats but no particular result is guaranteed
+ /// if an element is NaN.
+ #[cfg(feature = "use_alloc")]
+ fn min_set_by<F>(self, mut compare: F) -> Vec<Self::Item>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item, &Self::Item) -> Ordering,
+ {
+ extrema_set::min_set_impl(self, |_| (), |x, y, _, _| compare(x, y))
+ }
+
+ /// Return all minimum elements of an iterator, as determined by
+ /// the specified function.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let a: [(i32, i32); 0] = [];
+ /// assert_eq!(a.iter().min_set_by_key(|_| ()), Vec::<&(i32, i32)>::new());
+ ///
+ /// let a = [(1, 2)];
+ /// assert_eq!(a.iter().min_set_by_key(|&&(k,_)| k), vec![&(1, 2)]);
+ ///
+ /// let a = [(1, 2), (2, 2), (3, 9), (4, 8), (5, 9)];
+ /// assert_eq!(a.iter().min_set_by_key(|&&(_, k)| k), vec![&(1, 2), &(2, 2)]);
+ ///
+ /// let a = [(1, 2), (1, 3), (1, 4), (1, 5)];
+ /// assert_eq!(a.iter().min_set_by_key(|&&(k, _)| k), vec![&(1, 2), &(1, 3), &(1, 4), &(1, 5)]);
+ /// ```
+ ///
+ /// The elements can be floats but no particular result is guaranteed
+ /// if an element is NaN.
+ #[cfg(feature = "use_alloc")]
+ fn min_set_by_key<K, F>(self, key: F) -> Vec<Self::Item>
+ where
+ Self: Sized,
+ K: Ord,
+ F: FnMut(&Self::Item) -> K,
+ {
+ extrema_set::min_set_impl(self, key, |_, _, kx, ky| kx.cmp(ky))
+ }
+
+ /// Return all maximum elements of an iterator.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let a: [i32; 0] = [];
+ /// assert_eq!(a.iter().max_set(), Vec::<&i32>::new());
+ ///
+ /// let a = [1];
+ /// assert_eq!(a.iter().max_set(), vec![&1]);
+ ///
+ /// let a = [1, 2, 3, 4, 5];
+ /// assert_eq!(a.iter().max_set(), vec![&5]);
+ ///
+ /// let a = [1, 1, 1, 1];
+ /// assert_eq!(a.iter().max_set(), vec![&1, &1, &1, &1]);
+ /// ```
+ ///
+ /// The elements can be floats but no particular result is guaranteed
+ /// if an element is NaN.
+ #[cfg(feature = "use_alloc")]
+ fn max_set(self) -> Vec<Self::Item>
+ where
+ Self: Sized,
+ Self::Item: Ord,
+ {
+ extrema_set::max_set_impl(self, |_| (), |x, y, _, _| x.cmp(y))
+ }
+
+ /// Return all maximum elements of an iterator, as determined by
+ /// the specified function.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// # use std::cmp::Ordering;
+ /// use itertools::Itertools;
+ ///
+ /// let a: [(i32, i32); 0] = [];
+ /// assert_eq!(a.iter().max_set_by(|_, _| Ordering::Equal), Vec::<&(i32, i32)>::new());
+ ///
+ /// let a = [(1, 2)];
+ /// assert_eq!(a.iter().max_set_by(|&&(k1,_), &&(k2, _)| k1.cmp(&k2)), vec![&(1, 2)]);
+ ///
+ /// let a = [(1, 2), (2, 2), (3, 9), (4, 8), (5, 9)];
+ /// assert_eq!(a.iter().max_set_by(|&&(_,k1), &&(_,k2)| k1.cmp(&k2)), vec![&(3, 9), &(5, 9)]);
+ ///
+ /// let a = [(1, 2), (1, 3), (1, 4), (1, 5)];
+ /// assert_eq!(a.iter().max_set_by(|&&(k1,_), &&(k2, _)| k1.cmp(&k2)), vec![&(1, 2), &(1, 3), &(1, 4), &(1, 5)]);
+ /// ```
+ ///
+ /// The elements can be floats but no particular result is guaranteed
+ /// if an element is NaN.
+ #[cfg(feature = "use_alloc")]
+ fn max_set_by<F>(self, mut compare: F) -> Vec<Self::Item>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item, &Self::Item) -> Ordering,
+ {
+ extrema_set::max_set_impl(self, |_| (), |x, y, _, _| compare(x, y))
+ }
+
+ /// Return all maximum elements of an iterator, as determined by
+ /// the specified function.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let a: [(i32, i32); 0] = [];
+ /// assert_eq!(a.iter().max_set_by_key(|_| ()), Vec::<&(i32, i32)>::new());
+ ///
+ /// let a = [(1, 2)];
+ /// assert_eq!(a.iter().max_set_by_key(|&&(k,_)| k), vec![&(1, 2)]);
+ ///
+ /// let a = [(1, 2), (2, 2), (3, 9), (4, 8), (5, 9)];
+ /// assert_eq!(a.iter().max_set_by_key(|&&(_, k)| k), vec![&(3, 9), &(5, 9)]);
+ ///
+ /// let a = [(1, 2), (1, 3), (1, 4), (1, 5)];
+ /// assert_eq!(a.iter().max_set_by_key(|&&(k, _)| k), vec![&(1, 2), &(1, 3), &(1, 4), &(1, 5)]);
+ /// ```
+ ///
+ /// The elements can be floats but no particular result is guaranteed
+ /// if an element is NaN.
+ #[cfg(feature = "use_alloc")]
+ fn max_set_by_key<K, F>(self, key: F) -> Vec<Self::Item>
+ where
+ Self: Sized,
+ K: Ord,
+ F: FnMut(&Self::Item) -> K,
+ {
+ extrema_set::max_set_impl(self, key, |_, _, kx, ky| kx.cmp(ky))
+ }
+
+ /// Return the minimum and maximum elements in the iterator.
+ ///
+ /// The return type `MinMaxResult` is an enum of three variants:
+ ///
+ /// - `NoElements` if the iterator is empty.
+ /// - `OneElement(x)` if the iterator has exactly one element.
+ /// - `MinMax(x, y)` is returned otherwise, where `x <= y`. Two
+ /// values are equal if and only if there is more than one
+ /// element in the iterator and all elements are equal.
+ ///
+ /// On an iterator of length `n`, `minmax` does `1.5 * n` comparisons,
+ /// and so is faster than calling `min` and `max` separately which does
+ /// `2 * n` comparisons.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// use itertools::MinMaxResult::{NoElements, OneElement, MinMax};
+ ///
+ /// let a: [i32; 0] = [];
+ /// assert_eq!(a.iter().minmax(), NoElements);
+ ///
+ /// let a = [1];
+ /// assert_eq!(a.iter().minmax(), OneElement(&1));
+ ///
+ /// let a = [1, 2, 3, 4, 5];
+ /// assert_eq!(a.iter().minmax(), MinMax(&1, &5));
+ ///
+ /// let a = [1, 1, 1, 1];
+ /// assert_eq!(a.iter().minmax(), MinMax(&1, &1));
+ /// ```
+ ///
+ /// The elements can be floats but no particular result is guaranteed
+ /// if an element is NaN.
+ fn minmax(self) -> MinMaxResult<Self::Item>
+ where
+ Self: Sized,
+ Self::Item: PartialOrd,
+ {
+ minmax::minmax_impl(self, |_| (), |x, y, _, _| x < y)
+ }
+
+ /// Return the minimum and maximum element of an iterator, as determined by
+ /// the specified function.
+ ///
+ /// The return value is a variant of [`MinMaxResult`] like for [`.minmax()`](Itertools::minmax).
+ ///
+ /// For the minimum, the first minimal element is returned. For the maximum,
+ /// the last maximal element wins. This matches the behavior of the standard
+ /// [`Iterator::min`] and [`Iterator::max`] methods.
+ ///
+ /// The keys can be floats but no particular result is guaranteed
+ /// if a key is NaN.
+ fn minmax_by_key<K, F>(self, key: F) -> MinMaxResult<Self::Item>
+ where
+ Self: Sized,
+ K: PartialOrd,
+ F: FnMut(&Self::Item) -> K,
+ {
+ minmax::minmax_impl(self, key, |_, _, xk, yk| xk < yk)
+ }
+
+ /// Return the minimum and maximum element of an iterator, as determined by
+ /// the specified comparison function.
+ ///
+ /// The return value is a variant of [`MinMaxResult`] like for [`.minmax()`](Itertools::minmax).
+ ///
+ /// For the minimum, the first minimal element is returned. For the maximum,
+ /// the last maximal element wins. This matches the behavior of the standard
+ /// [`Iterator::min`] and [`Iterator::max`] methods.
+ fn minmax_by<F>(self, mut compare: F) -> MinMaxResult<Self::Item>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item, &Self::Item) -> Ordering,
+ {
+ minmax::minmax_impl(self, |_| (), |x, y, _, _| Ordering::Less == compare(x, y))
+ }
+
+ /// Return the position of the maximum element in the iterator.
+ ///
+ /// If several elements are equally maximum, the position of the
+ /// last of them is returned.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let a: [i32; 0] = [];
+ /// assert_eq!(a.iter().position_max(), None);
+ ///
+ /// let a = [-3, 0, 1, 5, -10];
+ /// assert_eq!(a.iter().position_max(), Some(3));
+ ///
+ /// let a = [1, 1, -1, -1];
+ /// assert_eq!(a.iter().position_max(), Some(1));
+ /// ```
+ fn position_max(self) -> Option<usize>
+ where
+ Self: Sized,
+ Self::Item: Ord,
+ {
+ self.enumerate()
+ .max_by(|x, y| Ord::cmp(&x.1, &y.1))
+ .map(|x| x.0)
+ }
+
+ /// Return the position of the maximum element in the iterator, as
+ /// determined by the specified function.
+ ///
+ /// If several elements are equally maximum, the position of the
+ /// last of them is returned.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let a: [i32; 0] = [];
+ /// assert_eq!(a.iter().position_max_by_key(|x| x.abs()), None);
+ ///
+ /// let a = [-3_i32, 0, 1, 5, -10];
+ /// assert_eq!(a.iter().position_max_by_key(|x| x.abs()), Some(4));
+ ///
+ /// let a = [1_i32, 1, -1, -1];
+ /// assert_eq!(a.iter().position_max_by_key(|x| x.abs()), Some(3));
+ /// ```
+ fn position_max_by_key<K, F>(self, mut key: F) -> Option<usize>
+ where
+ Self: Sized,
+ K: Ord,
+ F: FnMut(&Self::Item) -> K,
+ {
+ self.enumerate()
+ .max_by(|x, y| Ord::cmp(&key(&x.1), &key(&y.1)))
+ .map(|x| x.0)
+ }
+
+ /// Return the position of the maximum element in the iterator, as
+ /// determined by the specified comparison function.
+ ///
+ /// If several elements are equally maximum, the position of the
+ /// last of them is returned.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let a: [i32; 0] = [];
+ /// assert_eq!(a.iter().position_max_by(|x, y| x.cmp(y)), None);
+ ///
+ /// let a = [-3_i32, 0, 1, 5, -10];
+ /// assert_eq!(a.iter().position_max_by(|x, y| x.cmp(y)), Some(3));
+ ///
+ /// let a = [1_i32, 1, -1, -1];
+ /// assert_eq!(a.iter().position_max_by(|x, y| x.cmp(y)), Some(1));
+ /// ```
+ fn position_max_by<F>(self, mut compare: F) -> Option<usize>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item, &Self::Item) -> Ordering,
+ {
+ self.enumerate()
+ .max_by(|x, y| compare(&x.1, &y.1))
+ .map(|x| x.0)
+ }
+
+ /// Return the position of the minimum element in the iterator.
+ ///
+ /// If several elements are equally minimum, the position of the
+ /// first of them is returned.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let a: [i32; 0] = [];
+ /// assert_eq!(a.iter().position_min(), None);
+ ///
+ /// let a = [-3, 0, 1, 5, -10];
+ /// assert_eq!(a.iter().position_min(), Some(4));
+ ///
+ /// let a = [1, 1, -1, -1];
+ /// assert_eq!(a.iter().position_min(), Some(2));
+ /// ```
+ fn position_min(self) -> Option<usize>
+ where
+ Self: Sized,
+ Self::Item: Ord,
+ {
+ self.enumerate()
+ .min_by(|x, y| Ord::cmp(&x.1, &y.1))
+ .map(|x| x.0)
+ }
+
+ /// Return the position of the minimum element in the iterator, as
+ /// determined by the specified function.
+ ///
+ /// If several elements are equally minimum, the position of the
+ /// first of them is returned.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let a: [i32; 0] = [];
+ /// assert_eq!(a.iter().position_min_by_key(|x| x.abs()), None);
+ ///
+ /// let a = [-3_i32, 0, 1, 5, -10];
+ /// assert_eq!(a.iter().position_min_by_key(|x| x.abs()), Some(1));
+ ///
+ /// let a = [1_i32, 1, -1, -1];
+ /// assert_eq!(a.iter().position_min_by_key(|x| x.abs()), Some(0));
+ /// ```
+ fn position_min_by_key<K, F>(self, mut key: F) -> Option<usize>
+ where
+ Self: Sized,
+ K: Ord,
+ F: FnMut(&Self::Item) -> K,
+ {
+ self.enumerate()
+ .min_by(|x, y| Ord::cmp(&key(&x.1), &key(&y.1)))
+ .map(|x| x.0)
+ }
+
+ /// Return the position of the minimum element in the iterator, as
+ /// determined by the specified comparison function.
+ ///
+ /// If several elements are equally minimum, the position of the
+ /// first of them is returned.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let a: [i32; 0] = [];
+ /// assert_eq!(a.iter().position_min_by(|x, y| x.cmp(y)), None);
+ ///
+ /// let a = [-3_i32, 0, 1, 5, -10];
+ /// assert_eq!(a.iter().position_min_by(|x, y| x.cmp(y)), Some(4));
+ ///
+ /// let a = [1_i32, 1, -1, -1];
+ /// assert_eq!(a.iter().position_min_by(|x, y| x.cmp(y)), Some(2));
+ /// ```
+ fn position_min_by<F>(self, mut compare: F) -> Option<usize>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item, &Self::Item) -> Ordering,
+ {
+ self.enumerate()
+ .min_by(|x, y| compare(&x.1, &y.1))
+ .map(|x| x.0)
+ }
+
+ /// Return the positions of the minimum and maximum elements in
+ /// the iterator.
+ ///
+ /// The return type [`MinMaxResult`] is an enum of three variants:
+ ///
+ /// - `NoElements` if the iterator is empty.
+ /// - `OneElement(xpos)` if the iterator has exactly one element.
+ /// - `MinMax(xpos, ypos)` is returned otherwise, where the
+ /// element at `xpos` ≤ the element at `ypos`. While the
+ /// referenced elements themselves may be equal, `xpos` cannot
+ /// be equal to `ypos`.
+ ///
+ /// On an iterator of length `n`, `position_minmax` does `1.5 * n`
+ /// comparisons, and so is faster than calling `position_min` and
+ /// `position_max` separately which does `2 * n` comparisons.
+ ///
+ /// For the minimum, if several elements are equally minimum, the
+ /// position of the first of them is returned. For the maximum, if
+ /// several elements are equally maximum, the position of the last
+ /// of them is returned.
+ ///
+ /// The elements can be floats but no particular result is
+ /// guaranteed if an element is NaN.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// use itertools::MinMaxResult::{NoElements, OneElement, MinMax};
+ ///
+ /// let a: [i32; 0] = [];
+ /// assert_eq!(a.iter().position_minmax(), NoElements);
+ ///
+ /// let a = [10];
+ /// assert_eq!(a.iter().position_minmax(), OneElement(0));
+ ///
+ /// let a = [-3, 0, 1, 5, -10];
+ /// assert_eq!(a.iter().position_minmax(), MinMax(4, 3));
+ ///
+ /// let a = [1, 1, -1, -1];
+ /// assert_eq!(a.iter().position_minmax(), MinMax(2, 1));
+ /// ```
+ fn position_minmax(self) -> MinMaxResult<usize>
+ where
+ Self: Sized,
+ Self::Item: PartialOrd,
+ {
+ use crate::MinMaxResult::{MinMax, NoElements, OneElement};
+ match minmax::minmax_impl(self.enumerate(), |_| (), |x, y, _, _| x.1 < y.1) {
+ NoElements => NoElements,
+ OneElement(x) => OneElement(x.0),
+ MinMax(x, y) => MinMax(x.0, y.0),
+ }
+ }
+
+ /// Return the postions of the minimum and maximum elements of an
+ /// iterator, as determined by the specified function.
+ ///
+ /// The return value is a variant of [`MinMaxResult`] like for
+ /// [`position_minmax`].
+ ///
+ /// For the minimum, if several elements are equally minimum, the
+ /// position of the first of them is returned. For the maximum, if
+ /// several elements are equally maximum, the position of the last
+ /// of them is returned.
+ ///
+ /// The keys can be floats but no particular result is guaranteed
+ /// if a key is NaN.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// use itertools::MinMaxResult::{NoElements, OneElement, MinMax};
+ ///
+ /// let a: [i32; 0] = [];
+ /// assert_eq!(a.iter().position_minmax_by_key(|x| x.abs()), NoElements);
+ ///
+ /// let a = [10_i32];
+ /// assert_eq!(a.iter().position_minmax_by_key(|x| x.abs()), OneElement(0));
+ ///
+ /// let a = [-3_i32, 0, 1, 5, -10];
+ /// assert_eq!(a.iter().position_minmax_by_key(|x| x.abs()), MinMax(1, 4));
+ ///
+ /// let a = [1_i32, 1, -1, -1];
+ /// assert_eq!(a.iter().position_minmax_by_key(|x| x.abs()), MinMax(0, 3));
+ /// ```
+ ///
+ /// [`position_minmax`]: Self::position_minmax
+ fn position_minmax_by_key<K, F>(self, mut key: F) -> MinMaxResult<usize>
+ where
+ Self: Sized,
+ K: PartialOrd,
+ F: FnMut(&Self::Item) -> K,
+ {
+ use crate::MinMaxResult::{MinMax, NoElements, OneElement};
+ match self.enumerate().minmax_by_key(|e| key(&e.1)) {
+ NoElements => NoElements,
+ OneElement(x) => OneElement(x.0),
+ MinMax(x, y) => MinMax(x.0, y.0),
+ }
+ }
+
+ /// Return the postions of the minimum and maximum elements of an
+ /// iterator, as determined by the specified comparison function.
+ ///
+ /// The return value is a variant of [`MinMaxResult`] like for
+ /// [`position_minmax`].
+ ///
+ /// For the minimum, if several elements are equally minimum, the
+ /// position of the first of them is returned. For the maximum, if
+ /// several elements are equally maximum, the position of the last
+ /// of them is returned.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ /// use itertools::MinMaxResult::{NoElements, OneElement, MinMax};
+ ///
+ /// let a: [i32; 0] = [];
+ /// assert_eq!(a.iter().position_minmax_by(|x, y| x.cmp(y)), NoElements);
+ ///
+ /// let a = [10_i32];
+ /// assert_eq!(a.iter().position_minmax_by(|x, y| x.cmp(y)), OneElement(0));
+ ///
+ /// let a = [-3_i32, 0, 1, 5, -10];
+ /// assert_eq!(a.iter().position_minmax_by(|x, y| x.cmp(y)), MinMax(4, 3));
+ ///
+ /// let a = [1_i32, 1, -1, -1];
+ /// assert_eq!(a.iter().position_minmax_by(|x, y| x.cmp(y)), MinMax(2, 1));
+ /// ```
+ ///
+ /// [`position_minmax`]: Self::position_minmax
+ fn position_minmax_by<F>(self, mut compare: F) -> MinMaxResult<usize>
+ where
+ Self: Sized,
+ F: FnMut(&Self::Item, &Self::Item) -> Ordering,
+ {
+ use crate::MinMaxResult::{MinMax, NoElements, OneElement};
+ match self.enumerate().minmax_by(|x, y| compare(&x.1, &y.1)) {
+ NoElements => NoElements,
+ OneElement(x) => OneElement(x.0),
+ MinMax(x, y) => MinMax(x.0, y.0),
+ }
+ }
+
+ /// If the iterator yields exactly one element, that element will be returned, otherwise
+ /// an error will be returned containing an iterator that has the same output as the input
+ /// iterator.
+ ///
+ /// This provides an additional layer of validation over just calling `Iterator::next()`.
+ /// If your assumption that there should only be one element yielded is false this provides
+ /// the opportunity to detect and handle that, preventing errors at a distance.
+ ///
+ /// # Examples
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// assert_eq!((0..10).filter(|&x| x == 2).exactly_one().unwrap(), 2);
+ /// assert!((0..10).filter(|&x| x > 1 && x < 4).exactly_one().unwrap_err().eq(2..4));
+ /// assert!((0..10).filter(|&x| x > 1 && x < 5).exactly_one().unwrap_err().eq(2..5));
+ /// assert!((0..10).filter(|&_| false).exactly_one().unwrap_err().eq(0..0));
+ /// ```
+ fn exactly_one(mut self) -> Result<Self::Item, ExactlyOneError<Self>>
+ where
+ Self: Sized,
+ {
+ match self.next() {
+ Some(first) => match self.next() {
+ Some(second) => Err(ExactlyOneError::new(
+ Some(Either::Left([first, second])),
+ self,
+ )),
+ None => Ok(first),
+ },
+ None => Err(ExactlyOneError::new(None, self)),
+ }
+ }
+
+ /// If the iterator yields no elements, `Ok(None)` will be returned. If the iterator yields
+ /// exactly one element, that element will be returned, otherwise an error will be returned
+ /// containing an iterator that has the same output as the input iterator.
+ ///
+ /// This provides an additional layer of validation over just calling `Iterator::next()`.
+ /// If your assumption that there should be at most one element yielded is false this provides
+ /// the opportunity to detect and handle that, preventing errors at a distance.
+ ///
+ /// # Examples
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// assert_eq!((0..10).filter(|&x| x == 2).at_most_one().unwrap(), Some(2));
+ /// assert!((0..10).filter(|&x| x > 1 && x < 4).at_most_one().unwrap_err().eq(2..4));
+ /// assert!((0..10).filter(|&x| x > 1 && x < 5).at_most_one().unwrap_err().eq(2..5));
+ /// assert_eq!((0..10).filter(|&_| false).at_most_one().unwrap(), None);
+ /// ```
+ fn at_most_one(mut self) -> Result<Option<Self::Item>, ExactlyOneError<Self>>
+ where
+ Self: Sized,
+ {
+ match self.next() {
+ Some(first) => match self.next() {
+ Some(second) => Err(ExactlyOneError::new(
+ Some(Either::Left([first, second])),
+ self,
+ )),
+ None => Ok(Some(first)),
+ },
+ None => Ok(None),
+ }
+ }
+
+ /// An iterator adaptor that allows the user to peek at multiple `.next()`
+ /// values without advancing the base iterator.
+ ///
+ /// # Examples
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let mut iter = (0..10).multipeek();
+ /// assert_eq!(iter.peek(), Some(&0));
+ /// assert_eq!(iter.peek(), Some(&1));
+ /// assert_eq!(iter.peek(), Some(&2));
+ /// assert_eq!(iter.next(), Some(0));
+ /// assert_eq!(iter.peek(), Some(&1));
+ /// ```
+ #[cfg(feature = "use_alloc")]
+ fn multipeek(self) -> MultiPeek<Self>
+ where
+ Self: Sized,
+ {
+ multipeek_impl::multipeek(self)
+ }
+
+ /// Collect the items in this iterator and return a `HashMap` which
+ /// contains each item that appears in the iterator and the number
+ /// of times it appears.
+ ///
+ /// # Examples
+ /// ```
+ /// # use itertools::Itertools;
+ /// let counts = [1, 1, 1, 3, 3, 5].iter().counts();
+ /// assert_eq!(counts[&1], 3);
+ /// assert_eq!(counts[&3], 2);
+ /// assert_eq!(counts[&5], 1);
+ /// assert_eq!(counts.get(&0), None);
+ /// ```
+ #[cfg(feature = "use_std")]
+ fn counts(self) -> HashMap<Self::Item, usize>
+ where
+ Self: Sized,
+ Self::Item: Eq + Hash,
+ {
+ let mut counts = HashMap::new();
+ self.for_each(|item| *counts.entry(item).or_default() += 1);
+ counts
+ }
+
+ /// Collect the items in this iterator and return a `HashMap` which
+ /// contains each item that appears in the iterator and the number
+ /// of times it appears,
+ /// determining identity using a keying function.
+ ///
+ /// ```
+ /// # use itertools::Itertools;
+ /// struct Character {
+ /// first_name: &'static str,
+ /// # #[allow(dead_code)]
+ /// last_name: &'static str,
+ /// }
+ ///
+ /// let characters =
+ /// vec![
+ /// Character { first_name: "Amy", last_name: "Pond" },
+ /// Character { first_name: "Amy", last_name: "Wong" },
+ /// Character { first_name: "Amy", last_name: "Santiago" },
+ /// Character { first_name: "James", last_name: "Bond" },
+ /// Character { first_name: "James", last_name: "Sullivan" },
+ /// Character { first_name: "James", last_name: "Norington" },
+ /// Character { first_name: "James", last_name: "Kirk" },
+ /// ];
+ ///
+ /// let first_name_frequency =
+ /// characters
+ /// .into_iter()
+ /// .counts_by(|c| c.first_name);
+ ///
+ /// assert_eq!(first_name_frequency["Amy"], 3);
+ /// assert_eq!(first_name_frequency["James"], 4);
+ /// assert_eq!(first_name_frequency.contains_key("Asha"), false);
+ /// ```
+ #[cfg(feature = "use_std")]
+ fn counts_by<K, F>(self, f: F) -> HashMap<K, usize>
+ where
+ Self: Sized,
+ K: Eq + Hash,
+ F: FnMut(Self::Item) -> K,
+ {
+ self.map(f).counts()
+ }
+
+ /// Converts an iterator of tuples into a tuple of containers.
+ ///
+ /// It consumes an entire iterator of n-ary tuples, producing `n` collections, one for each
+ /// column.
+ ///
+ /// This function is, in some sense, the opposite of [`multizip`].
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let inputs = vec![(1, 2, 3), (4, 5, 6), (7, 8, 9)];
+ ///
+ /// let (a, b, c): (Vec<_>, Vec<_>, Vec<_>) = inputs
+ /// .into_iter()
+ /// .multiunzip();
+ ///
+ /// assert_eq!(a, vec![1, 4, 7]);
+ /// assert_eq!(b, vec![2, 5, 8]);
+ /// assert_eq!(c, vec![3, 6, 9]);
+ /// ```
+ fn multiunzip<FromI>(self) -> FromI
+ where
+ Self: Sized + MultiUnzip<FromI>,
+ {
+ MultiUnzip::multiunzip(self)
+ }
+
+ /// Returns the length of the iterator if one exists.
+ /// Otherwise return `self.size_hint()`.
+ ///
+ /// Fallible [`ExactSizeIterator::len`].
+ ///
+ /// Inherits guarantees and restrictions from [`Iterator::size_hint`].
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// assert_eq!([0; 10].iter().try_len(), Ok(10));
+ /// assert_eq!((10..15).try_len(), Ok(5));
+ /// assert_eq!((15..10).try_len(), Ok(0));
+ /// assert_eq!((10..).try_len(), Err((usize::MAX, None)));
+ /// assert_eq!((10..15).filter(|x| x % 2 == 0).try_len(), Err((0, Some(5))));
+ /// ```
+ fn try_len(&self) -> Result<usize, size_hint::SizeHint> {
+ let sh = self.size_hint();
+ match sh {
+ (lo, Some(hi)) if lo == hi => Ok(lo),
+ _ => Err(sh),
+ }
+ }
+}
+
+impl<T> Itertools for T where T: Iterator + ?Sized {}
+
+/// Return `true` if both iterables produce equal sequences
+/// (elements pairwise equal and sequences of the same length),
+/// `false` otherwise.
+///
+/// [`IntoIterator`] enabled version of [`Iterator::eq`].
+///
+/// ```
+/// assert!(itertools::equal(vec![1, 2, 3], 1..4));
+/// assert!(!itertools::equal(&[0, 0], &[0, 0, 0]));
+/// ```
+pub fn equal<I, J>(a: I, b: J) -> bool
+where
+ I: IntoIterator,
+ J: IntoIterator,
+ I::Item: PartialEq<J::Item>,
+{
+ a.into_iter().eq(b)
+}
+
+/// Assert that two iterables produce equal sequences, with the same
+/// semantics as [`equal(a, b)`](equal).
+///
+/// **Panics** on assertion failure with a message that shows the
+/// two different elements and the iteration index.
+///
+/// ```should_panic
+/// # use itertools::assert_equal;
+/// assert_equal("exceed".split('c'), "excess".split('c'));
+/// // ^PANIC: panicked at 'Failed assertion Some("eed") == Some("ess") for iteration 1'.
+/// ```
+#[track_caller]
+pub fn assert_equal<I, J>(a: I, b: J)
+where
+ I: IntoIterator,
+ J: IntoIterator,
+ I::Item: fmt::Debug + PartialEq<J::Item>,
+ J::Item: fmt::Debug,
+{
+ let mut ia = a.into_iter();
+ let mut ib = b.into_iter();
+ let mut i: usize = 0;
+ loop {
+ match (ia.next(), ib.next()) {
+ (None, None) => return,
+ (a, b) => {
+ let equal = match (&a, &b) {
+ (Some(a), Some(b)) => a == b,
+ _ => false,
+ };
+ assert!(
+ equal,
+ "Failed assertion {a:?} == {b:?} for iteration {i}",
+ i = i,
+ a = a,
+ b = b
+ );
+ i += 1;
+ }
+ }
+ }
+}
+
+/// Partition a sequence using predicate `pred` so that elements
+/// that map to `true` are placed before elements which map to `false`.
+///
+/// The order within the partitions is arbitrary.
+///
+/// Return the index of the split point.
+///
+/// ```
+/// use itertools::partition;
+///
+/// # // use repeated numbers to not promise any ordering
+/// let mut data = [7, 1, 1, 7, 1, 1, 7];
+/// let split_index = partition(&mut data, |elt| *elt >= 3);
+///
+/// assert_eq!(data, [7, 7, 7, 1, 1, 1, 1]);
+/// assert_eq!(split_index, 3);
+/// ```
+pub fn partition<'a, A: 'a, I, F>(iter: I, mut pred: F) -> usize
+where
+ I: IntoIterator<Item = &'a mut A>,
+ I::IntoIter: DoubleEndedIterator,
+ F: FnMut(&A) -> bool,
+{
+ let mut split_index = 0;
+ let mut iter = iter.into_iter();
+ while let Some(front) = iter.next() {
+ if !pred(front) {
+ match iter.rfind(|back| pred(back)) {
+ Some(back) => std::mem::swap(front, back),
+ None => break,
+ }
+ }
+ split_index += 1;
+ }
+ split_index
+}
+
+/// An enum used for controlling the execution of `fold_while`.
+///
+/// See [`.fold_while()`](Itertools::fold_while) for more information.
+#[derive(Copy, Clone, Debug, Eq, PartialEq)]
+pub enum FoldWhile<T> {
+ /// Continue folding with this value
+ Continue(T),
+ /// Fold is complete and will return this value
+ Done(T),
+}
+
+impl<T> FoldWhile<T> {
+ /// Return the value in the continue or done.
+ pub fn into_inner(self) -> T {
+ match self {
+ Self::Continue(x) | Self::Done(x) => x,
+ }
+ }
+
+ /// Return true if `self` is `Done`, false if it is `Continue`.
+ pub fn is_done(&self) -> bool {
+ match *self {
+ Self::Continue(_) => false,
+ Self::Done(_) => true,
+ }
+ }
+}
diff --git a/vendor/itertools/src/merge_join.rs b/vendor/itertools/src/merge_join.rs
new file mode 100644
index 00000000..5f4a605f
--- /dev/null
+++ b/vendor/itertools/src/merge_join.rs
@@ -0,0 +1,348 @@
+use std::cmp::Ordering;
+use std::fmt;
+use std::iter::{Fuse, FusedIterator};
+use std::marker::PhantomData;
+
+use either::Either;
+
+use super::adaptors::{put_back, PutBack};
+use crate::either_or_both::EitherOrBoth;
+use crate::size_hint::{self, SizeHint};
+#[cfg(doc)]
+use crate::Itertools;
+
+#[derive(Clone, Debug)]
+pub struct MergeLte;
+
+/// An iterator adaptor that merges the two base iterators in ascending order.
+/// If both base iterators are sorted (ascending), the result is sorted.
+///
+/// Iterator element type is `I::Item`.
+///
+/// See [`.merge()`](crate::Itertools::merge_by) for more information.
+pub type Merge<I, J> = MergeBy<I, J, MergeLte>;
+
+/// Create an iterator that merges elements in `i` and `j`.
+///
+/// [`IntoIterator`] enabled version of [`Itertools::merge`](crate::Itertools::merge).
+///
+/// ```
+/// use itertools::merge;
+///
+/// for elt in merge(&[1, 2, 3], &[2, 3, 4]) {
+/// /* loop body */
+/// # let _ = elt;
+/// }
+/// ```
+pub fn merge<I, J>(
+ i: I,
+ j: J,
+) -> Merge<<I as IntoIterator>::IntoIter, <J as IntoIterator>::IntoIter>
+where
+ I: IntoIterator,
+ J: IntoIterator<Item = I::Item>,
+ I::Item: PartialOrd,
+{
+ merge_by_new(i, j, MergeLte)
+}
+
+/// An iterator adaptor that merges the two base iterators in ascending order.
+/// If both base iterators are sorted (ascending), the result is sorted.
+///
+/// Iterator element type is `I::Item`.
+///
+/// See [`.merge_by()`](crate::Itertools::merge_by) for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct MergeBy<I: Iterator, J: Iterator, F> {
+ left: PutBack<Fuse<I>>,
+ right: PutBack<Fuse<J>>,
+ cmp_fn: F,
+}
+
+/// Create a `MergeBy` iterator.
+pub fn merge_by_new<I, J, F>(a: I, b: J, cmp: F) -> MergeBy<I::IntoIter, J::IntoIter, F>
+where
+ I: IntoIterator,
+ J: IntoIterator<Item = I::Item>,
+{
+ MergeBy {
+ left: put_back(a.into_iter().fuse()),
+ right: put_back(b.into_iter().fuse()),
+ cmp_fn: cmp,
+ }
+}
+
+/// Return an iterator adaptor that merge-joins items from the two base iterators in ascending order.
+///
+/// [`IntoIterator`] enabled version of [`Itertools::merge_join_by`].
+pub fn merge_join_by<I, J, F, T>(
+ left: I,
+ right: J,
+ cmp_fn: F,
+) -> MergeJoinBy<I::IntoIter, J::IntoIter, F>
+where
+ I: IntoIterator,
+ J: IntoIterator,
+ F: FnMut(&I::Item, &J::Item) -> T,
+{
+ MergeBy {
+ left: put_back(left.into_iter().fuse()),
+ right: put_back(right.into_iter().fuse()),
+ cmp_fn: MergeFuncLR(cmp_fn, PhantomData),
+ }
+}
+
+/// An iterator adaptor that merge-joins items from the two base iterators in ascending order.
+///
+/// See [`.merge_join_by()`](crate::Itertools::merge_join_by) for more information.
+pub type MergeJoinBy<I, J, F> =
+ MergeBy<I, J, MergeFuncLR<F, <F as FuncLR<<I as Iterator>::Item, <J as Iterator>::Item>>::T>>;
+
+#[derive(Clone, Debug)]
+pub struct MergeFuncLR<F, T>(F, PhantomData<T>);
+
+pub trait FuncLR<L, R> {
+ type T;
+}
+
+impl<L, R, T, F: FnMut(&L, &R) -> T> FuncLR<L, R> for F {
+ type T = T;
+}
+
+pub trait OrderingOrBool<L, R> {
+ type MergeResult;
+ fn left(left: L) -> Self::MergeResult;
+ fn right(right: R) -> Self::MergeResult;
+ // "merge" never returns (Some(...), Some(...), ...) so Option<Either<I::Item, J::Item>>
+ // is appealing but it is always followed by two put_backs, so we think the compiler is
+ // smart enough to optimize it. Or we could move put_backs into "merge".
+ fn merge(&mut self, left: L, right: R) -> (Option<Either<L, R>>, Self::MergeResult);
+ fn size_hint(left: SizeHint, right: SizeHint) -> SizeHint;
+}
+
+impl<L, R, F: FnMut(&L, &R) -> Ordering> OrderingOrBool<L, R> for MergeFuncLR<F, Ordering> {
+ type MergeResult = EitherOrBoth<L, R>;
+ fn left(left: L) -> Self::MergeResult {
+ EitherOrBoth::Left(left)
+ }
+ fn right(right: R) -> Self::MergeResult {
+ EitherOrBoth::Right(right)
+ }
+ fn merge(&mut self, left: L, right: R) -> (Option<Either<L, R>>, Self::MergeResult) {
+ match self.0(&left, &right) {
+ Ordering::Equal => (None, EitherOrBoth::Both(left, right)),
+ Ordering::Less => (Some(Either::Right(right)), EitherOrBoth::Left(left)),
+ Ordering::Greater => (Some(Either::Left(left)), EitherOrBoth::Right(right)),
+ }
+ }
+ fn size_hint(left: SizeHint, right: SizeHint) -> SizeHint {
+ let (a_lower, a_upper) = left;
+ let (b_lower, b_upper) = right;
+ let lower = ::std::cmp::max(a_lower, b_lower);
+ let upper = match (a_upper, b_upper) {
+ (Some(x), Some(y)) => x.checked_add(y),
+ _ => None,
+ };
+ (lower, upper)
+ }
+}
+
+impl<L, R, F: FnMut(&L, &R) -> bool> OrderingOrBool<L, R> for MergeFuncLR<F, bool> {
+ type MergeResult = Either<L, R>;
+ fn left(left: L) -> Self::MergeResult {
+ Either::Left(left)
+ }
+ fn right(right: R) -> Self::MergeResult {
+ Either::Right(right)
+ }
+ fn merge(&mut self, left: L, right: R) -> (Option<Either<L, R>>, Self::MergeResult) {
+ if self.0(&left, &right) {
+ (Some(Either::Right(right)), Either::Left(left))
+ } else {
+ (Some(Either::Left(left)), Either::Right(right))
+ }
+ }
+ fn size_hint(left: SizeHint, right: SizeHint) -> SizeHint {
+ // Not ExactSizeIterator because size may be larger than usize
+ size_hint::add(left, right)
+ }
+}
+
+impl<T, F: FnMut(&T, &T) -> bool> OrderingOrBool<T, T> for F {
+ type MergeResult = T;
+ fn left(left: T) -> Self::MergeResult {
+ left
+ }
+ fn right(right: T) -> Self::MergeResult {
+ right
+ }
+ fn merge(&mut self, left: T, right: T) -> (Option<Either<T, T>>, Self::MergeResult) {
+ if self(&left, &right) {
+ (Some(Either::Right(right)), left)
+ } else {
+ (Some(Either::Left(left)), right)
+ }
+ }
+ fn size_hint(left: SizeHint, right: SizeHint) -> SizeHint {
+ // Not ExactSizeIterator because size may be larger than usize
+ size_hint::add(left, right)
+ }
+}
+
+impl<T: PartialOrd> OrderingOrBool<T, T> for MergeLte {
+ type MergeResult = T;
+ fn left(left: T) -> Self::MergeResult {
+ left
+ }
+ fn right(right: T) -> Self::MergeResult {
+ right
+ }
+ fn merge(&mut self, left: T, right: T) -> (Option<Either<T, T>>, Self::MergeResult) {
+ if left <= right {
+ (Some(Either::Right(right)), left)
+ } else {
+ (Some(Either::Left(left)), right)
+ }
+ }
+ fn size_hint(left: SizeHint, right: SizeHint) -> SizeHint {
+ // Not ExactSizeIterator because size may be larger than usize
+ size_hint::add(left, right)
+ }
+}
+
+impl<I, J, F> Clone for MergeBy<I, J, F>
+where
+ I: Iterator,
+ J: Iterator,
+ PutBack<Fuse<I>>: Clone,
+ PutBack<Fuse<J>>: Clone,
+ F: Clone,
+{
+ clone_fields!(left, right, cmp_fn);
+}
+
+impl<I, J, F> fmt::Debug for MergeBy<I, J, F>
+where
+ I: Iterator + fmt::Debug,
+ I::Item: fmt::Debug,
+ J: Iterator + fmt::Debug,
+ J::Item: fmt::Debug,
+{
+ debug_fmt_fields!(MergeBy, left, right);
+}
+
+impl<I, J, F> Iterator for MergeBy<I, J, F>
+where
+ I: Iterator,
+ J: Iterator,
+ F: OrderingOrBool<I::Item, J::Item>,
+{
+ type Item = F::MergeResult;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ match (self.left.next(), self.right.next()) {
+ (None, None) => None,
+ (Some(left), None) => Some(F::left(left)),
+ (None, Some(right)) => Some(F::right(right)),
+ (Some(left), Some(right)) => {
+ let (not_next, next) = self.cmp_fn.merge(left, right);
+ match not_next {
+ Some(Either::Left(l)) => {
+ self.left.put_back(l);
+ }
+ Some(Either::Right(r)) => {
+ self.right.put_back(r);
+ }
+ None => (),
+ }
+
+ Some(next)
+ }
+ }
+ }
+
+ fn fold<B, G>(mut self, init: B, mut f: G) -> B
+ where
+ Self: Sized,
+ G: FnMut(B, Self::Item) -> B,
+ {
+ let mut acc = init;
+ let mut left = self.left.next();
+ let mut right = self.right.next();
+
+ loop {
+ match (left, right) {
+ (Some(l), Some(r)) => match self.cmp_fn.merge(l, r) {
+ (Some(Either::Right(r)), x) => {
+ acc = f(acc, x);
+ left = self.left.next();
+ right = Some(r);
+ }
+ (Some(Either::Left(l)), x) => {
+ acc = f(acc, x);
+ left = Some(l);
+ right = self.right.next();
+ }
+ (None, x) => {
+ acc = f(acc, x);
+ left = self.left.next();
+ right = self.right.next();
+ }
+ },
+ (Some(l), None) => {
+ self.left.put_back(l);
+ acc = self.left.fold(acc, |acc, x| f(acc, F::left(x)));
+ break;
+ }
+ (None, Some(r)) => {
+ self.right.put_back(r);
+ acc = self.right.fold(acc, |acc, x| f(acc, F::right(x)));
+ break;
+ }
+ (None, None) => {
+ break;
+ }
+ }
+ }
+
+ acc
+ }
+
+ fn size_hint(&self) -> SizeHint {
+ F::size_hint(self.left.size_hint(), self.right.size_hint())
+ }
+
+ fn nth(&mut self, mut n: usize) -> Option<Self::Item> {
+ loop {
+ if n == 0 {
+ break self.next();
+ }
+ n -= 1;
+ match (self.left.next(), self.right.next()) {
+ (None, None) => break None,
+ (Some(_left), None) => break self.left.nth(n).map(F::left),
+ (None, Some(_right)) => break self.right.nth(n).map(F::right),
+ (Some(left), Some(right)) => {
+ let (not_next, _) = self.cmp_fn.merge(left, right);
+ match not_next {
+ Some(Either::Left(l)) => {
+ self.left.put_back(l);
+ }
+ Some(Either::Right(r)) => {
+ self.right.put_back(r);
+ }
+ None => (),
+ }
+ }
+ }
+ }
+ }
+}
+
+impl<I, J, F> FusedIterator for MergeBy<I, J, F>
+where
+ I: Iterator,
+ J: Iterator,
+ F: OrderingOrBool<I::Item, J::Item>,
+{
+}
diff --git a/vendor/itertools/src/minmax.rs b/vendor/itertools/src/minmax.rs
new file mode 100644
index 00000000..5c9674e0
--- /dev/null
+++ b/vendor/itertools/src/minmax.rs
@@ -0,0 +1,116 @@
+/// `MinMaxResult` is an enum returned by `minmax`.
+///
+/// See [`.minmax()`](crate::Itertools::minmax) for more detail.
+#[derive(Copy, Clone, PartialEq, Eq, Debug)]
+pub enum MinMaxResult<T> {
+ /// Empty iterator
+ NoElements,
+
+ /// Iterator with one element, so the minimum and maximum are the same
+ OneElement(T),
+
+ /// More than one element in the iterator, the first element is not larger
+ /// than the second
+ MinMax(T, T),
+}
+
+impl<T: Clone> MinMaxResult<T> {
+ /// `into_option` creates an `Option` of type `(T, T)`. The returned `Option`
+ /// has variant `None` if and only if the `MinMaxResult` has variant
+ /// `NoElements`. Otherwise `Some((x, y))` is returned where `x <= y`.
+ /// If the `MinMaxResult` has variant `OneElement(x)`, performing this
+ /// operation will make one clone of `x`.
+ ///
+ /// # Examples
+ ///
+ /// ```
+ /// use itertools::MinMaxResult::{self, NoElements, OneElement, MinMax};
+ ///
+ /// let r: MinMaxResult<i32> = NoElements;
+ /// assert_eq!(r.into_option(), None);
+ ///
+ /// let r = OneElement(1);
+ /// assert_eq!(r.into_option(), Some((1, 1)));
+ ///
+ /// let r = MinMax(1, 2);
+ /// assert_eq!(r.into_option(), Some((1, 2)));
+ /// ```
+ pub fn into_option(self) -> Option<(T, T)> {
+ match self {
+ Self::NoElements => None,
+ Self::OneElement(x) => Some((x.clone(), x)),
+ Self::MinMax(x, y) => Some((x, y)),
+ }
+ }
+}
+
+/// Implementation guts for `minmax` and `minmax_by_key`.
+pub fn minmax_impl<I, K, F, L>(mut it: I, mut key_for: F, mut lt: L) -> MinMaxResult<I::Item>
+where
+ I: Iterator,
+ F: FnMut(&I::Item) -> K,
+ L: FnMut(&I::Item, &I::Item, &K, &K) -> bool,
+{
+ let (mut min, mut max, mut min_key, mut max_key) = match it.next() {
+ None => return MinMaxResult::NoElements,
+ Some(x) => match it.next() {
+ None => return MinMaxResult::OneElement(x),
+ Some(y) => {
+ let xk = key_for(&x);
+ let yk = key_for(&y);
+ if !lt(&y, &x, &yk, &xk) {
+ (x, y, xk, yk)
+ } else {
+ (y, x, yk, xk)
+ }
+ }
+ },
+ };
+
+ loop {
+ // `first` and `second` are the two next elements we want to look
+ // at. We first compare `first` and `second` (#1). The smaller one
+ // is then compared to current minimum (#2). The larger one is
+ // compared to current maximum (#3). This way we do 3 comparisons
+ // for 2 elements.
+ let first = match it.next() {
+ None => break,
+ Some(x) => x,
+ };
+ let second = match it.next() {
+ None => {
+ let first_key = key_for(&first);
+ if lt(&first, &min, &first_key, &min_key) {
+ min = first;
+ } else if !lt(&first, &max, &first_key, &max_key) {
+ max = first;
+ }
+ break;
+ }
+ Some(x) => x,
+ };
+ let first_key = key_for(&first);
+ let second_key = key_for(&second);
+ if !lt(&second, &first, &second_key, &first_key) {
+ if lt(&first, &min, &first_key, &min_key) {
+ min = first;
+ min_key = first_key;
+ }
+ if !lt(&second, &max, &second_key, &max_key) {
+ max = second;
+ max_key = second_key;
+ }
+ } else {
+ if lt(&second, &min, &second_key, &min_key) {
+ min = second;
+ min_key = second_key;
+ }
+ if !lt(&first, &max, &first_key, &max_key) {
+ max = first;
+ max_key = first_key;
+ }
+ }
+ }
+
+ MinMaxResult::MinMax(min, max)
+}
diff --git a/vendor/itertools/src/multipeek_impl.rs b/vendor/itertools/src/multipeek_impl.rs
new file mode 100644
index 00000000..6f800b6f
--- /dev/null
+++ b/vendor/itertools/src/multipeek_impl.rs
@@ -0,0 +1,116 @@
+use crate::size_hint;
+#[cfg(doc)]
+use crate::Itertools;
+use crate::PeekingNext;
+use alloc::collections::VecDeque;
+use std::iter::Fuse;
+
+/// See [`multipeek()`] for more information.
+#[derive(Clone, Debug)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct MultiPeek<I>
+where
+ I: Iterator,
+{
+ iter: Fuse<I>,
+ buf: VecDeque<I::Item>,
+ index: usize,
+}
+
+/// An iterator adaptor that allows the user to peek at multiple `.next()`
+/// values without advancing the base iterator.
+///
+/// [`IntoIterator`] enabled version of [`Itertools::multipeek`].
+pub fn multipeek<I>(iterable: I) -> MultiPeek<I::IntoIter>
+where
+ I: IntoIterator,
+{
+ MultiPeek {
+ iter: iterable.into_iter().fuse(),
+ buf: VecDeque::new(),
+ index: 0,
+ }
+}
+
+impl<I> MultiPeek<I>
+where
+ I: Iterator,
+{
+ /// Reset the peeking “cursor”
+ pub fn reset_peek(&mut self) {
+ self.index = 0;
+ }
+}
+
+impl<I: Iterator> MultiPeek<I> {
+ /// Works exactly like `.next()` with the only difference that it doesn't
+ /// advance itself. `.peek()` can be called multiple times, to peek
+ /// further ahead.
+ /// When `.next()` is called, reset the peeking “cursor”.
+ pub fn peek(&mut self) -> Option<&I::Item> {
+ let ret = if self.index < self.buf.len() {
+ Some(&self.buf[self.index])
+ } else {
+ match self.iter.next() {
+ Some(x) => {
+ self.buf.push_back(x);
+ Some(&self.buf[self.index])
+ }
+ None => return None,
+ }
+ };
+
+ self.index += 1;
+ ret
+ }
+}
+
+impl<I> PeekingNext for MultiPeek<I>
+where
+ I: Iterator,
+{
+ fn peeking_next<F>(&mut self, accept: F) -> Option<Self::Item>
+ where
+ F: FnOnce(&Self::Item) -> bool,
+ {
+ if self.buf.is_empty() {
+ if let Some(r) = self.peek() {
+ if !accept(r) {
+ return None;
+ }
+ }
+ } else if let Some(r) = self.buf.front() {
+ if !accept(r) {
+ return None;
+ }
+ }
+ self.next()
+ }
+}
+
+impl<I> Iterator for MultiPeek<I>
+where
+ I: Iterator,
+{
+ type Item = I::Item;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ self.index = 0;
+ self.buf.pop_front().or_else(|| self.iter.next())
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ size_hint::add_scalar(self.iter.size_hint(), self.buf.len())
+ }
+
+ fn fold<B, F>(self, mut init: B, mut f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ init = self.buf.into_iter().fold(init, &mut f);
+ self.iter.fold(init, f)
+ }
+}
+
+// Same size
+impl<I> ExactSizeIterator for MultiPeek<I> where I: ExactSizeIterator {}
diff --git a/vendor/itertools/src/next_array.rs b/vendor/itertools/src/next_array.rs
new file mode 100644
index 00000000..86480b19
--- /dev/null
+++ b/vendor/itertools/src/next_array.rs
@@ -0,0 +1,269 @@
+use core::mem::{self, MaybeUninit};
+
+/// An array of at most `N` elements.
+struct ArrayBuilder<T, const N: usize> {
+ /// The (possibly uninitialized) elements of the `ArrayBuilder`.
+ ///
+ /// # Safety
+ ///
+ /// The elements of `arr[..len]` are valid `T`s.
+ arr: [MaybeUninit<T>; N],
+
+ /// The number of leading elements of `arr` that are valid `T`s, len <= N.
+ len: usize,
+}
+
+impl<T, const N: usize> ArrayBuilder<T, N> {
+ /// Initializes a new, empty `ArrayBuilder`.
+ pub fn new() -> Self {
+ // SAFETY: The safety invariant of `arr` trivially holds for `len = 0`.
+ Self {
+ arr: [(); N].map(|_| MaybeUninit::uninit()),
+ len: 0,
+ }
+ }
+
+ /// Pushes `value` onto the end of the array.
+ ///
+ /// # Panics
+ ///
+ /// This panics if `self.len >= N`.
+ #[inline(always)]
+ pub fn push(&mut self, value: T) {
+ // PANICS: This will panic if `self.len >= N`.
+ let place = &mut self.arr[self.len];
+ // SAFETY: The safety invariant of `self.arr` applies to elements at
+ // indices `0..self.len` — not to the element at `self.len`. Writing to
+ // the element at index `self.len` therefore does not violate the safety
+ // invariant of `self.arr`. Even if this line panics, we have not
+ // created any intermediate invalid state.
+ *place = MaybeUninit::new(value);
+ // Lemma: `self.len < N`. By invariant, `self.len <= N`. Above, we index
+ // into `self.arr`, which has size `N`, at index `self.len`. If `self.len == N`
+ // at that point, that index would be out-of-bounds, and the index
+ // operation would panic. Thus, `self.len != N`, and since `self.len <= N`,
+ // that means that `self.len < N`.
+ //
+ // PANICS: Since `self.len < N`, and since `N <= usize::MAX`,
+ // `self.len + 1 <= usize::MAX`, and so `self.len += 1` will not
+ // overflow. Overflow is the only panic condition of `+=`.
+ //
+ // SAFETY:
+ // - We are required to uphold the invariant that `self.len <= N`.
+ // Since, by the preceding lemma, `self.len < N` at this point in the
+ // code, `self.len += 1` results in `self.len <= N`.
+ // - We are required to uphold the invariant that `self.arr[..self.len]`
+ // are valid instances of `T`. Since this invariant already held when
+ // this method was called, and since we only increment `self.len`
+ // by 1 here, we only need to prove that the element at
+ // `self.arr[self.len]` (using the value of `self.len` before incrementing)
+ // is valid. Above, we construct `place` to point to `self.arr[self.len]`,
+ // and then initialize `*place` to `MaybeUninit::new(value)`, which is
+ // a valid `T` by construction.
+ self.len += 1;
+ }
+
+ /// Consumes the elements in the `ArrayBuilder` and returns them as an array
+ /// `[T; N]`.
+ ///
+ /// If `self.len() < N`, this returns `None`.
+ pub fn take(&mut self) -> Option<[T; N]> {
+ if self.len == N {
+ // SAFETY: Decreasing the value of `self.len` cannot violate the
+ // safety invariant on `self.arr`.
+ self.len = 0;
+
+ // SAFETY: Since `self.len` is 0, `self.arr` may safely contain
+ // uninitialized elements.
+ let arr = mem::replace(&mut self.arr, [(); N].map(|_| MaybeUninit::uninit()));
+
+ Some(arr.map(|v| {
+ // SAFETY: We know that all elements of `arr` are valid because
+ // we checked that `len == N`.
+ unsafe { v.assume_init() }
+ }))
+ } else {
+ None
+ }
+ }
+}
+
+impl<T, const N: usize> AsMut<[T]> for ArrayBuilder<T, N> {
+ fn as_mut(&mut self) -> &mut [T] {
+ let valid = &mut self.arr[..self.len];
+ // SAFETY: By invariant on `self.arr`, the elements of `self.arr` at
+ // indices `0..self.len` are in a valid state. Since `valid` references
+ // only these elements, the safety precondition of
+ // `slice_assume_init_mut` is satisfied.
+ unsafe { slice_assume_init_mut(valid) }
+ }
+}
+
+impl<T, const N: usize> Drop for ArrayBuilder<T, N> {
+ // We provide a non-trivial `Drop` impl, because the trivial impl would be a
+ // no-op; `MaybeUninit<T>` has no innate awareness of its own validity, and
+ // so it can only forget its contents. By leveraging the safety invariant of
+ // `self.arr`, we do know which elements of `self.arr` are valid, and can
+ // selectively run their destructors.
+ fn drop(&mut self) {
+ // SAFETY:
+ // - by invariant on `&mut [T]`, `self.as_mut()` is:
+ // - valid for reads and writes
+ // - properly aligned
+ // - non-null
+ // - the dropped `T` are valid for dropping; they do not have any
+ // additional library invariants that we've violated
+ // - no other pointers to `valid` exist (since we're in the context of
+ // `drop`)
+ unsafe { core::ptr::drop_in_place(self.as_mut()) }
+ }
+}
+
+/// Assuming all the elements are initialized, get a mutable slice to them.
+///
+/// # Safety
+///
+/// The caller guarantees that the elements `T` referenced by `slice` are in a
+/// valid state.
+unsafe fn slice_assume_init_mut<T>(slice: &mut [MaybeUninit<T>]) -> &mut [T] {
+ // SAFETY: Casting `&mut [MaybeUninit<T>]` to `&mut [T]` is sound, because
+ // `MaybeUninit<T>` is guaranteed to have the same size, alignment and ABI
+ // as `T`, and because the caller has guaranteed that `slice` is in the
+ // valid state.
+ unsafe { &mut *(slice as *mut [MaybeUninit<T>] as *mut [T]) }
+}
+
+/// Equivalent to `it.next_array()`.
+pub(crate) fn next_array<I, const N: usize>(it: &mut I) -> Option<[I::Item; N]>
+where
+ I: Iterator,
+{
+ let mut builder = ArrayBuilder::new();
+ for _ in 0..N {
+ builder.push(it.next()?);
+ }
+ builder.take()
+}
+
+#[cfg(test)]
+mod test {
+ use super::ArrayBuilder;
+
+ #[test]
+ fn zero_len_take() {
+ let mut builder = ArrayBuilder::<(), 0>::new();
+ let taken = builder.take();
+ assert_eq!(taken, Some([(); 0]));
+ }
+
+ #[test]
+ #[should_panic]
+ fn zero_len_push() {
+ let mut builder = ArrayBuilder::<(), 0>::new();
+ builder.push(());
+ }
+
+ #[test]
+ fn push_4() {
+ let mut builder = ArrayBuilder::<(), 4>::new();
+ assert_eq!(builder.take(), None);
+
+ builder.push(());
+ assert_eq!(builder.take(), None);
+
+ builder.push(());
+ assert_eq!(builder.take(), None);
+
+ builder.push(());
+ assert_eq!(builder.take(), None);
+
+ builder.push(());
+ assert_eq!(builder.take(), Some([(); 4]));
+ }
+
+ #[test]
+ fn tracked_drop() {
+ use std::panic::{catch_unwind, AssertUnwindSafe};
+ use std::sync::atomic::{AtomicU16, Ordering};
+
+ static DROPPED: AtomicU16 = AtomicU16::new(0);
+
+ #[derive(Debug, PartialEq)]
+ struct TrackedDrop;
+
+ impl Drop for TrackedDrop {
+ fn drop(&mut self) {
+ DROPPED.fetch_add(1, Ordering::Relaxed);
+ }
+ }
+
+ {
+ let builder = ArrayBuilder::<TrackedDrop, 0>::new();
+ assert_eq!(DROPPED.load(Ordering::Relaxed), 0);
+ drop(builder);
+ assert_eq!(DROPPED.load(Ordering::Relaxed), 0);
+ }
+
+ {
+ let mut builder = ArrayBuilder::<TrackedDrop, 2>::new();
+ builder.push(TrackedDrop);
+ assert_eq!(builder.take(), None);
+ assert_eq!(DROPPED.load(Ordering::Relaxed), 0);
+ drop(builder);
+ assert_eq!(DROPPED.swap(0, Ordering::Relaxed), 1);
+ }
+
+ {
+ let mut builder = ArrayBuilder::<TrackedDrop, 2>::new();
+ builder.push(TrackedDrop);
+ builder.push(TrackedDrop);
+ assert!(matches!(builder.take(), Some(_)));
+ assert_eq!(DROPPED.swap(0, Ordering::Relaxed), 2);
+ drop(builder);
+ assert_eq!(DROPPED.load(Ordering::Relaxed), 0);
+ }
+
+ {
+ let mut builder = ArrayBuilder::<TrackedDrop, 2>::new();
+
+ builder.push(TrackedDrop);
+ builder.push(TrackedDrop);
+
+ assert!(catch_unwind(AssertUnwindSafe(|| {
+ builder.push(TrackedDrop);
+ }))
+ .is_err());
+
+ assert_eq!(DROPPED.load(Ordering::Relaxed), 1);
+
+ drop(builder);
+
+ assert_eq!(DROPPED.swap(0, Ordering::Relaxed), 3);
+ }
+
+ {
+ let mut builder = ArrayBuilder::<TrackedDrop, 2>::new();
+
+ builder.push(TrackedDrop);
+ builder.push(TrackedDrop);
+
+ assert!(catch_unwind(AssertUnwindSafe(|| {
+ builder.push(TrackedDrop);
+ }))
+ .is_err());
+
+ assert_eq!(DROPPED.load(Ordering::Relaxed), 1);
+
+ assert!(matches!(builder.take(), Some(_)));
+
+ assert_eq!(DROPPED.load(Ordering::Relaxed), 3);
+
+ builder.push(TrackedDrop);
+ builder.push(TrackedDrop);
+
+ assert!(matches!(builder.take(), Some(_)));
+
+ assert_eq!(DROPPED.swap(0, Ordering::Relaxed), 5);
+ }
+ }
+}
diff --git a/vendor/itertools/src/pad_tail.rs b/vendor/itertools/src/pad_tail.rs
new file mode 100644
index 00000000..5595b42b
--- /dev/null
+++ b/vendor/itertools/src/pad_tail.rs
@@ -0,0 +1,124 @@
+use crate::size_hint;
+use std::iter::{Fuse, FusedIterator};
+
+/// An iterator adaptor that pads a sequence to a minimum length by filling
+/// missing elements using a closure.
+///
+/// Iterator element type is `I::Item`.
+///
+/// See [`.pad_using()`](crate::Itertools::pad_using) for more information.
+#[derive(Clone)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct PadUsing<I, F> {
+ iter: Fuse<I>,
+ min: usize,
+ pos: usize,
+ filler: F,
+}
+
+impl<I, F> std::fmt::Debug for PadUsing<I, F>
+where
+ I: std::fmt::Debug,
+{
+ debug_fmt_fields!(PadUsing, iter, min, pos);
+}
+
+/// Create a new `PadUsing` iterator.
+pub fn pad_using<I, F>(iter: I, min: usize, filler: F) -> PadUsing<I, F>
+where
+ I: Iterator,
+ F: FnMut(usize) -> I::Item,
+{
+ PadUsing {
+ iter: iter.fuse(),
+ min,
+ pos: 0,
+ filler,
+ }
+}
+
+impl<I, F> Iterator for PadUsing<I, F>
+where
+ I: Iterator,
+ F: FnMut(usize) -> I::Item,
+{
+ type Item = I::Item;
+
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ match self.iter.next() {
+ None => {
+ if self.pos < self.min {
+ let e = Some((self.filler)(self.pos));
+ self.pos += 1;
+ e
+ } else {
+ None
+ }
+ }
+ e => {
+ self.pos += 1;
+ e
+ }
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let tail = self.min.saturating_sub(self.pos);
+ size_hint::max(self.iter.size_hint(), (tail, Some(tail)))
+ }
+
+ fn fold<B, G>(self, mut init: B, mut f: G) -> B
+ where
+ G: FnMut(B, Self::Item) -> B,
+ {
+ let mut pos = self.pos;
+ init = self.iter.fold(init, |acc, item| {
+ pos += 1;
+ f(acc, item)
+ });
+ (pos..self.min).map(self.filler).fold(init, f)
+ }
+}
+
+impl<I, F> DoubleEndedIterator for PadUsing<I, F>
+where
+ I: DoubleEndedIterator + ExactSizeIterator,
+ F: FnMut(usize) -> I::Item,
+{
+ fn next_back(&mut self) -> Option<Self::Item> {
+ if self.min == 0 {
+ self.iter.next_back()
+ } else if self.iter.len() >= self.min {
+ self.min -= 1;
+ self.iter.next_back()
+ } else {
+ self.min -= 1;
+ Some((self.filler)(self.min))
+ }
+ }
+
+ fn rfold<B, G>(self, mut init: B, mut f: G) -> B
+ where
+ G: FnMut(B, Self::Item) -> B,
+ {
+ init = (self.iter.len()..self.min)
+ .map(self.filler)
+ .rfold(init, &mut f);
+ self.iter.rfold(init, f)
+ }
+}
+
+impl<I, F> ExactSizeIterator for PadUsing<I, F>
+where
+ I: ExactSizeIterator,
+ F: FnMut(usize) -> I::Item,
+{
+}
+
+impl<I, F> FusedIterator for PadUsing<I, F>
+where
+ I: FusedIterator,
+ F: FnMut(usize) -> I::Item,
+{
+}
diff --git a/vendor/itertools/src/peek_nth.rs b/vendor/itertools/src/peek_nth.rs
new file mode 100644
index 00000000..b03a3ef5
--- /dev/null
+++ b/vendor/itertools/src/peek_nth.rs
@@ -0,0 +1,178 @@
+use crate::size_hint;
+use crate::PeekingNext;
+use alloc::collections::VecDeque;
+use std::iter::Fuse;
+
+/// See [`peek_nth()`] for more information.
+#[derive(Clone, Debug)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct PeekNth<I>
+where
+ I: Iterator,
+{
+ iter: Fuse<I>,
+ buf: VecDeque<I::Item>,
+}
+
+/// A drop-in replacement for [`std::iter::Peekable`] which adds a `peek_nth`
+/// method allowing the user to `peek` at a value several iterations forward
+/// without advancing the base iterator.
+///
+/// This differs from `multipeek` in that subsequent calls to `peek` or
+/// `peek_nth` will always return the same value until `next` is called
+/// (making `reset_peek` unnecessary).
+pub fn peek_nth<I>(iterable: I) -> PeekNth<I::IntoIter>
+where
+ I: IntoIterator,
+{
+ PeekNth {
+ iter: iterable.into_iter().fuse(),
+ buf: VecDeque::new(),
+ }
+}
+
+impl<I> PeekNth<I>
+where
+ I: Iterator,
+{
+ /// Works exactly like the `peek` method in [`std::iter::Peekable`].
+ pub fn peek(&mut self) -> Option<&I::Item> {
+ self.peek_nth(0)
+ }
+
+ /// Works exactly like the `peek_mut` method in [`std::iter::Peekable`].
+ pub fn peek_mut(&mut self) -> Option<&mut I::Item> {
+ self.peek_nth_mut(0)
+ }
+
+ /// Returns a reference to the `nth` value without advancing the iterator.
+ ///
+ /// # Examples
+ ///
+ /// Basic usage:
+ ///
+ /// ```
+ /// use itertools::peek_nth;
+ ///
+ /// let xs = vec![1, 2, 3];
+ /// let mut iter = peek_nth(xs.into_iter());
+ ///
+ /// assert_eq!(iter.peek_nth(0), Some(&1));
+ /// assert_eq!(iter.next(), Some(1));
+ ///
+ /// // The iterator does not advance even if we call `peek_nth` multiple times
+ /// assert_eq!(iter.peek_nth(0), Some(&2));
+ /// assert_eq!(iter.peek_nth(1), Some(&3));
+ /// assert_eq!(iter.next(), Some(2));
+ ///
+ /// // Calling `peek_nth` past the end of the iterator will return `None`
+ /// assert_eq!(iter.peek_nth(1), None);
+ /// ```
+ pub fn peek_nth(&mut self, n: usize) -> Option<&I::Item> {
+ let unbuffered_items = (n + 1).saturating_sub(self.buf.len());
+
+ self.buf.extend(self.iter.by_ref().take(unbuffered_items));
+
+ self.buf.get(n)
+ }
+
+ /// Returns a mutable reference to the `nth` value without advancing the iterator.
+ ///
+ /// # Examples
+ ///
+ /// Basic usage:
+ ///
+ /// ```
+ /// use itertools::peek_nth;
+ ///
+ /// let xs = vec![1, 2, 3, 4, 5];
+ /// let mut iter = peek_nth(xs.into_iter());
+ ///
+ /// assert_eq!(iter.peek_nth_mut(0), Some(&mut 1));
+ /// assert_eq!(iter.next(), Some(1));
+ ///
+ /// // The iterator does not advance even if we call `peek_nth_mut` multiple times
+ /// assert_eq!(iter.peek_nth_mut(0), Some(&mut 2));
+ /// assert_eq!(iter.peek_nth_mut(1), Some(&mut 3));
+ /// assert_eq!(iter.next(), Some(2));
+ ///
+ /// // Peek into the iterator and set the value behind the mutable reference.
+ /// if let Some(p) = iter.peek_nth_mut(1) {
+ /// assert_eq!(*p, 4);
+ /// *p = 9;
+ /// }
+ ///
+ /// // The value we put in reappears as the iterator continues.
+ /// assert_eq!(iter.next(), Some(3));
+ /// assert_eq!(iter.next(), Some(9));
+ ///
+ /// // Calling `peek_nth_mut` past the end of the iterator will return `None`
+ /// assert_eq!(iter.peek_nth_mut(1), None);
+ /// ```
+ pub fn peek_nth_mut(&mut self, n: usize) -> Option<&mut I::Item> {
+ let unbuffered_items = (n + 1).saturating_sub(self.buf.len());
+
+ self.buf.extend(self.iter.by_ref().take(unbuffered_items));
+
+ self.buf.get_mut(n)
+ }
+
+ /// Works exactly like the `next_if` method in [`std::iter::Peekable`].
+ pub fn next_if(&mut self, func: impl FnOnce(&I::Item) -> bool) -> Option<I::Item> {
+ match self.next() {
+ Some(item) if func(&item) => Some(item),
+ Some(item) => {
+ self.buf.push_front(item);
+ None
+ }
+ _ => None,
+ }
+ }
+
+ /// Works exactly like the `next_if_eq` method in [`std::iter::Peekable`].
+ pub fn next_if_eq<T>(&mut self, expected: &T) -> Option<I::Item>
+ where
+ T: ?Sized,
+ I::Item: PartialEq<T>,
+ {
+ self.next_if(|next| next == expected)
+ }
+}
+
+impl<I> Iterator for PeekNth<I>
+where
+ I: Iterator,
+{
+ type Item = I::Item;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ self.buf.pop_front().or_else(|| self.iter.next())
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ size_hint::add_scalar(self.iter.size_hint(), self.buf.len())
+ }
+
+ fn fold<B, F>(self, mut init: B, mut f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ init = self.buf.into_iter().fold(init, &mut f);
+ self.iter.fold(init, f)
+ }
+}
+
+impl<I> ExactSizeIterator for PeekNth<I> where I: ExactSizeIterator {}
+
+impl<I> PeekingNext for PeekNth<I>
+where
+ I: Iterator,
+{
+ fn peeking_next<F>(&mut self, accept: F) -> Option<Self::Item>
+ where
+ F: FnOnce(&Self::Item) -> bool,
+ {
+ self.peek().filter(|item| accept(item))?;
+ self.next()
+ }
+}
diff --git a/vendor/itertools/src/peeking_take_while.rs b/vendor/itertools/src/peeking_take_while.rs
new file mode 100644
index 00000000..f3259a91
--- /dev/null
+++ b/vendor/itertools/src/peeking_take_while.rs
@@ -0,0 +1,201 @@
+use crate::PutBack;
+#[cfg(feature = "use_alloc")]
+use crate::PutBackN;
+use crate::RepeatN;
+use std::iter::Peekable;
+
+/// An iterator that allows peeking at an element before deciding to accept it.
+///
+/// See [`.peeking_take_while()`](crate::Itertools::peeking_take_while)
+/// for more information.
+///
+/// This is implemented by peeking adaptors like peekable and put back,
+/// but also by a few iterators that can be peeked natively, like the slice’s
+/// by reference iterator ([`std::slice::Iter`]).
+pub trait PeekingNext: Iterator {
+ /// Pass a reference to the next iterator element to the closure `accept`;
+ /// if `accept` returns `true`, return it as the next element,
+ /// else `None`.
+ fn peeking_next<F>(&mut self, accept: F) -> Option<Self::Item>
+ where
+ Self: Sized,
+ F: FnOnce(&Self::Item) -> bool;
+}
+
+impl<I> PeekingNext for &mut I
+where
+ I: PeekingNext,
+{
+ fn peeking_next<F>(&mut self, accept: F) -> Option<Self::Item>
+ where
+ F: FnOnce(&Self::Item) -> bool,
+ {
+ (*self).peeking_next(accept)
+ }
+}
+
+impl<I> PeekingNext for Peekable<I>
+where
+ I: Iterator,
+{
+ fn peeking_next<F>(&mut self, accept: F) -> Option<Self::Item>
+ where
+ F: FnOnce(&Self::Item) -> bool,
+ {
+ if let Some(r) = self.peek() {
+ if !accept(r) {
+ return None;
+ }
+ }
+ self.next()
+ }
+}
+
+impl<I> PeekingNext for PutBack<I>
+where
+ I: Iterator,
+{
+ fn peeking_next<F>(&mut self, accept: F) -> Option<Self::Item>
+ where
+ F: FnOnce(&Self::Item) -> bool,
+ {
+ if let Some(r) = self.next() {
+ if !accept(&r) {
+ self.put_back(r);
+ return None;
+ }
+ Some(r)
+ } else {
+ None
+ }
+ }
+}
+
+#[cfg(feature = "use_alloc")]
+impl<I> PeekingNext for PutBackN<I>
+where
+ I: Iterator,
+{
+ fn peeking_next<F>(&mut self, accept: F) -> Option<Self::Item>
+ where
+ F: FnOnce(&Self::Item) -> bool,
+ {
+ if let Some(r) = self.next() {
+ if !accept(&r) {
+ self.put_back(r);
+ return None;
+ }
+ Some(r)
+ } else {
+ None
+ }
+ }
+}
+
+impl<T: Clone> PeekingNext for RepeatN<T> {
+ fn peeking_next<F>(&mut self, accept: F) -> Option<Self::Item>
+ where
+ F: FnOnce(&Self::Item) -> bool,
+ {
+ let r = self.elt.as_ref()?;
+ if !accept(r) {
+ return None;
+ }
+ self.next()
+ }
+}
+
+/// An iterator adaptor that takes items while a closure returns `true`.
+///
+/// See [`.peeking_take_while()`](crate::Itertools::peeking_take_while)
+/// for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct PeekingTakeWhile<'a, I, F>
+where
+ I: Iterator + 'a,
+{
+ iter: &'a mut I,
+ f: F,
+}
+
+impl<'a, I, F> std::fmt::Debug for PeekingTakeWhile<'a, I, F>
+where
+ I: Iterator + std::fmt::Debug + 'a,
+{
+ debug_fmt_fields!(PeekingTakeWhile, iter);
+}
+
+/// Create a `PeekingTakeWhile`
+pub fn peeking_take_while<I, F>(iter: &mut I, f: F) -> PeekingTakeWhile<I, F>
+where
+ I: Iterator,
+{
+ PeekingTakeWhile { iter, f }
+}
+
+impl<I, F> Iterator for PeekingTakeWhile<'_, I, F>
+where
+ I: PeekingNext,
+ F: FnMut(&I::Item) -> bool,
+{
+ type Item = I::Item;
+ fn next(&mut self) -> Option<Self::Item> {
+ self.iter.peeking_next(&mut self.f)
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ (0, self.iter.size_hint().1)
+ }
+}
+
+impl<I, F> PeekingNext for PeekingTakeWhile<'_, I, F>
+where
+ I: PeekingNext,
+ F: FnMut(&I::Item) -> bool,
+{
+ fn peeking_next<G>(&mut self, g: G) -> Option<Self::Item>
+ where
+ G: FnOnce(&Self::Item) -> bool,
+ {
+ let f = &mut self.f;
+ self.iter.peeking_next(|r| f(r) && g(r))
+ }
+}
+
+// Some iterators are so lightweight we can simply clone them to save their
+// state and use that for peeking.
+macro_rules! peeking_next_by_clone {
+ ([$($typarm:tt)*] $type_:ty) => {
+ impl<$($typarm)*> PeekingNext for $type_ {
+ fn peeking_next<F>(&mut self, accept: F) -> Option<Self::Item>
+ where F: FnOnce(&Self::Item) -> bool
+ {
+ let saved_state = self.clone();
+ if let Some(r) = self.next() {
+ if !accept(&r) {
+ *self = saved_state;
+ } else {
+ return Some(r)
+ }
+ }
+ None
+ }
+ }
+ }
+}
+
+peeking_next_by_clone! { ['a, T] ::std::slice::Iter<'a, T> }
+peeking_next_by_clone! { ['a] ::std::str::Chars<'a> }
+peeking_next_by_clone! { ['a] ::std::str::CharIndices<'a> }
+peeking_next_by_clone! { ['a] ::std::str::Bytes<'a> }
+peeking_next_by_clone! { ['a, T] ::std::option::Iter<'a, T> }
+peeking_next_by_clone! { ['a, T] ::std::result::Iter<'a, T> }
+peeking_next_by_clone! { [T] ::std::iter::Empty<T> }
+#[cfg(feature = "use_alloc")]
+peeking_next_by_clone! { ['a, T] alloc::collections::linked_list::Iter<'a, T> }
+#[cfg(feature = "use_alloc")]
+peeking_next_by_clone! { ['a, T] alloc::collections::vec_deque::Iter<'a, T> }
+
+// cloning a Rev has no extra overhead; peekable and put backs are never DEI.
+peeking_next_by_clone! { [I: Clone + PeekingNext + DoubleEndedIterator]
+::std::iter::Rev<I> }
diff --git a/vendor/itertools/src/permutations.rs b/vendor/itertools/src/permutations.rs
new file mode 100644
index 00000000..91389a73
--- /dev/null
+++ b/vendor/itertools/src/permutations.rs
@@ -0,0 +1,186 @@
+use alloc::boxed::Box;
+use alloc::vec::Vec;
+use std::fmt;
+use std::iter::once;
+use std::iter::FusedIterator;
+
+use super::lazy_buffer::LazyBuffer;
+use crate::size_hint::{self, SizeHint};
+
+/// An iterator adaptor that iterates through all the `k`-permutations of the
+/// elements from an iterator.
+///
+/// See [`.permutations()`](crate::Itertools::permutations) for
+/// more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct Permutations<I: Iterator> {
+ vals: LazyBuffer<I>,
+ state: PermutationState,
+}
+
+impl<I> Clone for Permutations<I>
+where
+ I: Clone + Iterator,
+ I::Item: Clone,
+{
+ clone_fields!(vals, state);
+}
+
+#[derive(Clone, Debug)]
+enum PermutationState {
+ /// No permutation generated yet.
+ Start { k: usize },
+ /// Values from the iterator are not fully loaded yet so `n` is still unknown.
+ Buffered { k: usize, min_n: usize },
+ /// All values from the iterator are known so `n` is known.
+ Loaded {
+ indices: Box<[usize]>,
+ cycles: Box<[usize]>,
+ },
+ /// No permutation left to generate.
+ End,
+}
+
+impl<I> fmt::Debug for Permutations<I>
+where
+ I: Iterator + fmt::Debug,
+ I::Item: fmt::Debug,
+{
+ debug_fmt_fields!(Permutations, vals, state);
+}
+
+pub fn permutations<I: Iterator>(iter: I, k: usize) -> Permutations<I> {
+ Permutations {
+ vals: LazyBuffer::new(iter),
+ state: PermutationState::Start { k },
+ }
+}
+
+impl<I> Iterator for Permutations<I>
+where
+ I: Iterator,
+ I::Item: Clone,
+{
+ type Item = Vec<I::Item>;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ let Self { vals, state } = self;
+ match state {
+ PermutationState::Start { k: 0 } => {
+ *state = PermutationState::End;
+ Some(Vec::new())
+ }
+ &mut PermutationState::Start { k } => {
+ vals.prefill(k);
+ if vals.len() != k {
+ *state = PermutationState::End;
+ return None;
+ }
+ *state = PermutationState::Buffered { k, min_n: k };
+ Some(vals[0..k].to_vec())
+ }
+ PermutationState::Buffered { ref k, min_n } => {
+ if vals.get_next() {
+ let item = (0..*k - 1)
+ .chain(once(*min_n))
+ .map(|i| vals[i].clone())
+ .collect();
+ *min_n += 1;
+ Some(item)
+ } else {
+ let n = *min_n;
+ let prev_iteration_count = n - *k + 1;
+ let mut indices: Box<[_]> = (0..n).collect();
+ let mut cycles: Box<[_]> = (n - k..n).rev().collect();
+ // Advance the state to the correct point.
+ for _ in 0..prev_iteration_count {
+ if advance(&mut indices, &mut cycles) {
+ *state = PermutationState::End;
+ return None;
+ }
+ }
+ let item = vals.get_at(&indices[0..*k]);
+ *state = PermutationState::Loaded { indices, cycles };
+ Some(item)
+ }
+ }
+ PermutationState::Loaded { indices, cycles } => {
+ if advance(indices, cycles) {
+ *state = PermutationState::End;
+ return None;
+ }
+ let k = cycles.len();
+ Some(vals.get_at(&indices[0..k]))
+ }
+ PermutationState::End => None,
+ }
+ }
+
+ fn count(self) -> usize {
+ let Self { vals, state } = self;
+ let n = vals.count();
+ state.size_hint_for(n).1.unwrap()
+ }
+
+ fn size_hint(&self) -> SizeHint {
+ let (mut low, mut upp) = self.vals.size_hint();
+ low = self.state.size_hint_for(low).0;
+ upp = upp.and_then(|n| self.state.size_hint_for(n).1);
+ (low, upp)
+ }
+}
+
+impl<I> FusedIterator for Permutations<I>
+where
+ I: Iterator,
+ I::Item: Clone,
+{
+}
+
+fn advance(indices: &mut [usize], cycles: &mut [usize]) -> bool {
+ let n = indices.len();
+ let k = cycles.len();
+ // NOTE: if `cycles` are only zeros, then we reached the last permutation.
+ for i in (0..k).rev() {
+ if cycles[i] == 0 {
+ cycles[i] = n - i - 1;
+ indices[i..].rotate_left(1);
+ } else {
+ let swap_index = n - cycles[i];
+ indices.swap(i, swap_index);
+ cycles[i] -= 1;
+ return false;
+ }
+ }
+ true
+}
+
+impl PermutationState {
+ fn size_hint_for(&self, n: usize) -> SizeHint {
+ // At the beginning, there are `n!/(n-k)!` items to come.
+ let at_start = |n, k| {
+ debug_assert!(n >= k);
+ let total = (n - k + 1..=n).try_fold(1usize, |acc, i| acc.checked_mul(i));
+ (total.unwrap_or(usize::MAX), total)
+ };
+ match *self {
+ Self::Start { k } if n < k => (0, Some(0)),
+ Self::Start { k } => at_start(n, k),
+ Self::Buffered { k, min_n } => {
+ // Same as `Start` minus the previously generated items.
+ size_hint::sub_scalar(at_start(n, k), min_n - k + 1)
+ }
+ Self::Loaded {
+ ref indices,
+ ref cycles,
+ } => {
+ let count = cycles.iter().enumerate().try_fold(0usize, |acc, (i, &c)| {
+ acc.checked_mul(indices.len() - i)
+ .and_then(|count| count.checked_add(c))
+ });
+ (count.unwrap_or(usize::MAX), count)
+ }
+ Self::End => (0, Some(0)),
+ }
+ }
+}
diff --git a/vendor/itertools/src/powerset.rs b/vendor/itertools/src/powerset.rs
new file mode 100644
index 00000000..734eaf61
--- /dev/null
+++ b/vendor/itertools/src/powerset.rs
@@ -0,0 +1,131 @@
+use alloc::vec::Vec;
+use std::fmt;
+use std::iter::FusedIterator;
+
+use super::combinations::{combinations, Combinations};
+use crate::adaptors::checked_binomial;
+use crate::size_hint::{self, SizeHint};
+
+/// An iterator to iterate through the powerset of the elements from an iterator.
+///
+/// See [`.powerset()`](crate::Itertools::powerset) for more
+/// information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct Powerset<I: Iterator> {
+ combs: Combinations<I>,
+}
+
+impl<I> Clone for Powerset<I>
+where
+ I: Clone + Iterator,
+ I::Item: Clone,
+{
+ clone_fields!(combs);
+}
+
+impl<I> fmt::Debug for Powerset<I>
+where
+ I: Iterator + fmt::Debug,
+ I::Item: fmt::Debug,
+{
+ debug_fmt_fields!(Powerset, combs);
+}
+
+/// Create a new `Powerset` from a clonable iterator.
+pub fn powerset<I>(src: I) -> Powerset<I>
+where
+ I: Iterator,
+ I::Item: Clone,
+{
+ Powerset {
+ combs: combinations(src, 0),
+ }
+}
+
+impl<I: Iterator> Powerset<I> {
+ /// Returns true if `k` has been incremented, false otherwise.
+ fn increment_k(&mut self) -> bool {
+ if self.combs.k() < self.combs.n() || self.combs.k() == 0 {
+ self.combs.reset(self.combs.k() + 1);
+ true
+ } else {
+ false
+ }
+ }
+}
+
+impl<I> Iterator for Powerset<I>
+where
+ I: Iterator,
+ I::Item: Clone,
+{
+ type Item = Vec<I::Item>;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ if let Some(elt) = self.combs.next() {
+ Some(elt)
+ } else if self.increment_k() {
+ self.combs.next()
+ } else {
+ None
+ }
+ }
+
+ fn nth(&mut self, mut n: usize) -> Option<Self::Item> {
+ loop {
+ match self.combs.try_nth(n) {
+ Ok(item) => return Some(item),
+ Err(steps) => {
+ if !self.increment_k() {
+ return None;
+ }
+ n -= steps;
+ }
+ }
+ }
+ }
+
+ fn size_hint(&self) -> SizeHint {
+ let k = self.combs.k();
+ // Total bounds for source iterator.
+ let (n_min, n_max) = self.combs.src().size_hint();
+ let low = remaining_for(n_min, k).unwrap_or(usize::MAX);
+ let upp = n_max.and_then(|n| remaining_for(n, k));
+ size_hint::add(self.combs.size_hint(), (low, upp))
+ }
+
+ fn count(self) -> usize {
+ let k = self.combs.k();
+ let (n, combs_count) = self.combs.n_and_count();
+ combs_count + remaining_for(n, k).unwrap()
+ }
+
+ fn fold<B, F>(self, mut init: B, mut f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ let mut it = self.combs;
+ if it.k() == 0 {
+ init = it.by_ref().fold(init, &mut f);
+ it.reset(1);
+ }
+ init = it.by_ref().fold(init, &mut f);
+ // n is now known for sure because k >= 1 and all k-combinations have been generated.
+ for k in it.k() + 1..=it.n() {
+ it.reset(k);
+ init = it.by_ref().fold(init, &mut f);
+ }
+ init
+ }
+}
+
+impl<I> FusedIterator for Powerset<I>
+where
+ I: Iterator,
+ I::Item: Clone,
+{
+}
+
+fn remaining_for(n: usize, k: usize) -> Option<usize> {
+ (k + 1..=n).try_fold(0usize, |sum, i| sum.checked_add(checked_binomial(n, i)?))
+}
diff --git a/vendor/itertools/src/process_results_impl.rs b/vendor/itertools/src/process_results_impl.rs
new file mode 100644
index 00000000..31389c5f
--- /dev/null
+++ b/vendor/itertools/src/process_results_impl.rs
@@ -0,0 +1,108 @@
+#[cfg(doc)]
+use crate::Itertools;
+
+/// An iterator that produces only the `T` values as long as the
+/// inner iterator produces `Ok(T)`.
+///
+/// Used by [`process_results`](crate::process_results), see its docs
+/// for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+#[derive(Debug)]
+pub struct ProcessResults<'a, I, E: 'a> {
+ error: &'a mut Result<(), E>,
+ iter: I,
+}
+
+impl<I, E> ProcessResults<'_, I, E> {
+ #[inline(always)]
+ fn next_body<T>(&mut self, item: Option<Result<T, E>>) -> Option<T> {
+ match item {
+ Some(Ok(x)) => Some(x),
+ Some(Err(e)) => {
+ *self.error = Err(e);
+ None
+ }
+ None => None,
+ }
+ }
+}
+
+impl<I, T, E> Iterator for ProcessResults<'_, I, E>
+where
+ I: Iterator<Item = Result<T, E>>,
+{
+ type Item = T;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ let item = self.iter.next();
+ self.next_body(item)
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ (0, self.iter.size_hint().1)
+ }
+
+ fn fold<B, F>(mut self, init: B, mut f: F) -> B
+ where
+ Self: Sized,
+ F: FnMut(B, Self::Item) -> B,
+ {
+ let error = self.error;
+ self.iter
+ .try_fold(init, |acc, opt| match opt {
+ Ok(x) => Ok(f(acc, x)),
+ Err(e) => {
+ *error = Err(e);
+ Err(acc)
+ }
+ })
+ .unwrap_or_else(|e| e)
+ }
+}
+
+impl<I, T, E> DoubleEndedIterator for ProcessResults<'_, I, E>
+where
+ I: Iterator<Item = Result<T, E>>,
+ I: DoubleEndedIterator,
+{
+ fn next_back(&mut self) -> Option<Self::Item> {
+ let item = self.iter.next_back();
+ self.next_body(item)
+ }
+
+ fn rfold<B, F>(mut self, init: B, mut f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ let error = self.error;
+ self.iter
+ .try_rfold(init, |acc, opt| match opt {
+ Ok(x) => Ok(f(acc, x)),
+ Err(e) => {
+ *error = Err(e);
+ Err(acc)
+ }
+ })
+ .unwrap_or_else(|e| e)
+ }
+}
+
+/// “Lift” a function of the values of an iterator so that it can process
+/// an iterator of `Result` values instead.
+///
+/// [`IntoIterator`] enabled version of [`Itertools::process_results`].
+pub fn process_results<I, F, T, E, R>(iterable: I, processor: F) -> Result<R, E>
+where
+ I: IntoIterator<Item = Result<T, E>>,
+ F: FnOnce(ProcessResults<I::IntoIter, E>) -> R,
+{
+ let iter = iterable.into_iter();
+ let mut error = Ok(());
+
+ let result = processor(ProcessResults {
+ error: &mut error,
+ iter,
+ });
+
+ error.map(|_| result)
+}
diff --git a/vendor/itertools/src/put_back_n_impl.rs b/vendor/itertools/src/put_back_n_impl.rs
new file mode 100644
index 00000000..a9eb4179
--- /dev/null
+++ b/vendor/itertools/src/put_back_n_impl.rs
@@ -0,0 +1,71 @@
+use alloc::vec::Vec;
+
+use crate::size_hint;
+
+/// An iterator adaptor that allows putting multiple
+/// items in front of the iterator.
+///
+/// Iterator element type is `I::Item`.
+#[derive(Debug, Clone)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct PutBackN<I: Iterator> {
+ top: Vec<I::Item>,
+ iter: I,
+}
+
+/// Create an iterator where you can put back multiple values to the front
+/// of the iteration.
+///
+/// Iterator element type is `I::Item`.
+pub fn put_back_n<I>(iterable: I) -> PutBackN<I::IntoIter>
+where
+ I: IntoIterator,
+{
+ PutBackN {
+ top: Vec::new(),
+ iter: iterable.into_iter(),
+ }
+}
+
+impl<I: Iterator> PutBackN<I> {
+ /// Puts `x` in front of the iterator.
+ ///
+ /// The values are yielded in order of the most recently put back
+ /// values first.
+ ///
+ /// ```rust
+ /// use itertools::put_back_n;
+ ///
+ /// let mut it = put_back_n(1..5);
+ /// it.next();
+ /// it.put_back(1);
+ /// it.put_back(0);
+ ///
+ /// assert!(itertools::equal(it, 0..5));
+ /// ```
+ #[inline]
+ pub fn put_back(&mut self, x: I::Item) {
+ self.top.push(x);
+ }
+}
+
+impl<I: Iterator> Iterator for PutBackN<I> {
+ type Item = I::Item;
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ self.top.pop().or_else(|| self.iter.next())
+ }
+
+ #[inline]
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ size_hint::add_scalar(self.iter.size_hint(), self.top.len())
+ }
+
+ fn fold<B, F>(self, mut init: B, mut f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ init = self.top.into_iter().rfold(init, &mut f);
+ self.iter.fold(init, f)
+ }
+}
diff --git a/vendor/itertools/src/rciter_impl.rs b/vendor/itertools/src/rciter_impl.rs
new file mode 100644
index 00000000..96a0fd69
--- /dev/null
+++ b/vendor/itertools/src/rciter_impl.rs
@@ -0,0 +1,102 @@
+use alloc::rc::Rc;
+use std::cell::RefCell;
+use std::iter::{FusedIterator, IntoIterator};
+
+/// A wrapper for `Rc<RefCell<I>>`, that implements the `Iterator` trait.
+#[derive(Debug)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct RcIter<I> {
+ /// The boxed iterator.
+ pub rciter: Rc<RefCell<I>>,
+}
+
+/// Return an iterator inside a `Rc<RefCell<_>>` wrapper.
+///
+/// The returned `RcIter` can be cloned, and each clone will refer back to the
+/// same original iterator.
+///
+/// `RcIter` allows doing interesting things like using `.zip()` on an iterator with
+/// itself, at the cost of runtime borrow checking which may have a performance
+/// penalty.
+///
+/// Iterator element type is `Self::Item`.
+///
+/// ```
+/// use itertools::rciter;
+/// use itertools::zip;
+///
+/// // In this example a range iterator is created and we iterate it using
+/// // three separate handles (two of them given to zip).
+/// // We also use the IntoIterator implementation for `&RcIter`.
+///
+/// let mut iter = rciter(0..9);
+/// let mut z = zip(&iter, &iter);
+///
+/// assert_eq!(z.next(), Some((0, 1)));
+/// assert_eq!(z.next(), Some((2, 3)));
+/// assert_eq!(z.next(), Some((4, 5)));
+/// assert_eq!(iter.next(), Some(6));
+/// assert_eq!(z.next(), Some((7, 8)));
+/// assert_eq!(z.next(), None);
+/// ```
+///
+/// **Panics** in iterator methods if a borrow error is encountered in the
+/// iterator methods. It can only happen if the `RcIter` is reentered in
+/// `.next()`, i.e. if it somehow participates in an “iterator knot”
+/// where it is an adaptor of itself.
+pub fn rciter<I>(iterable: I) -> RcIter<I::IntoIter>
+where
+ I: IntoIterator,
+{
+ RcIter {
+ rciter: Rc::new(RefCell::new(iterable.into_iter())),
+ }
+}
+
+impl<I> Clone for RcIter<I> {
+ clone_fields!(rciter);
+}
+
+impl<A, I> Iterator for RcIter<I>
+where
+ I: Iterator<Item = A>,
+{
+ type Item = A;
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ self.rciter.borrow_mut().next()
+ }
+
+ #[inline]
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ // To work sanely with other API that assume they own an iterator,
+ // so it can't change in other places, we can't guarantee as much
+ // in our size_hint. Other clones may drain values under our feet.
+ (0, self.rciter.borrow().size_hint().1)
+ }
+}
+
+impl<I> DoubleEndedIterator for RcIter<I>
+where
+ I: DoubleEndedIterator,
+{
+ #[inline]
+ fn next_back(&mut self) -> Option<Self::Item> {
+ self.rciter.borrow_mut().next_back()
+ }
+}
+
+/// Return an iterator from `&RcIter<I>` (by simply cloning it).
+impl<I> IntoIterator for &RcIter<I>
+where
+ I: Iterator,
+{
+ type Item = I::Item;
+ type IntoIter = RcIter<I>;
+
+ fn into_iter(self) -> RcIter<I> {
+ self.clone()
+ }
+}
+
+impl<A, I> FusedIterator for RcIter<I> where I: FusedIterator<Item = A> {}
diff --git a/vendor/itertools/src/repeatn.rs b/vendor/itertools/src/repeatn.rs
new file mode 100644
index 00000000..d86ad9fa
--- /dev/null
+++ b/vendor/itertools/src/repeatn.rs
@@ -0,0 +1,83 @@
+use std::iter::FusedIterator;
+
+/// An iterator that produces *n* repetitions of an element.
+///
+/// See [`repeat_n()`](crate::repeat_n) for more information.
+#[must_use = "iterators are lazy and do nothing unless consumed"]
+#[derive(Clone, Debug)]
+pub struct RepeatN<A> {
+ pub(crate) elt: Option<A>,
+ n: usize,
+}
+
+/// Create an iterator that produces `n` repetitions of `element`.
+pub fn repeat_n<A>(element: A, n: usize) -> RepeatN<A>
+where
+ A: Clone,
+{
+ if n == 0 {
+ RepeatN { elt: None, n }
+ } else {
+ RepeatN {
+ elt: Some(element),
+ n,
+ }
+ }
+}
+
+impl<A> Iterator for RepeatN<A>
+where
+ A: Clone,
+{
+ type Item = A;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ if self.n > 1 {
+ self.n -= 1;
+ self.elt.as_ref().cloned()
+ } else {
+ self.n = 0;
+ self.elt.take()
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ (self.n, Some(self.n))
+ }
+
+ fn fold<B, F>(self, mut init: B, mut f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ match self {
+ Self { elt: Some(elt), n } => {
+ debug_assert!(n > 0);
+ init = (1..n).map(|_| elt.clone()).fold(init, &mut f);
+ f(init, elt)
+ }
+ _ => init,
+ }
+ }
+}
+
+impl<A> DoubleEndedIterator for RepeatN<A>
+where
+ A: Clone,
+{
+ #[inline]
+ fn next_back(&mut self) -> Option<Self::Item> {
+ self.next()
+ }
+
+ #[inline]
+ fn rfold<B, F>(self, init: B, f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ self.fold(init, f)
+ }
+}
+
+impl<A> ExactSizeIterator for RepeatN<A> where A: Clone {}
+
+impl<A> FusedIterator for RepeatN<A> where A: Clone {}
diff --git a/vendor/itertools/src/size_hint.rs b/vendor/itertools/src/size_hint.rs
new file mode 100644
index 00000000..6cfead7f
--- /dev/null
+++ b/vendor/itertools/src/size_hint.rs
@@ -0,0 +1,94 @@
+//! Arithmetic on `Iterator.size_hint()` values.
+//!
+
+use std::cmp;
+
+/// `SizeHint` is the return type of `Iterator::size_hint()`.
+pub type SizeHint = (usize, Option<usize>);
+
+/// Add `SizeHint` correctly.
+#[inline]
+pub fn add(a: SizeHint, b: SizeHint) -> SizeHint {
+ let min = a.0.saturating_add(b.0);
+ let max = match (a.1, b.1) {
+ (Some(x), Some(y)) => x.checked_add(y),
+ _ => None,
+ };
+
+ (min, max)
+}
+
+/// Add `x` correctly to a `SizeHint`.
+#[inline]
+pub fn add_scalar(sh: SizeHint, x: usize) -> SizeHint {
+ let (mut low, mut hi) = sh;
+ low = low.saturating_add(x);
+ hi = hi.and_then(|elt| elt.checked_add(x));
+ (low, hi)
+}
+
+/// Subtract `x` correctly from a `SizeHint`.
+#[inline]
+pub fn sub_scalar(sh: SizeHint, x: usize) -> SizeHint {
+ let (mut low, mut hi) = sh;
+ low = low.saturating_sub(x);
+ hi = hi.map(|elt| elt.saturating_sub(x));
+ (low, hi)
+}
+
+/// Multiply `SizeHint` correctly
+#[inline]
+pub fn mul(a: SizeHint, b: SizeHint) -> SizeHint {
+ let low = a.0.saturating_mul(b.0);
+ let hi = match (a.1, b.1) {
+ (Some(x), Some(y)) => x.checked_mul(y),
+ (Some(0), None) | (None, Some(0)) => Some(0),
+ _ => None,
+ };
+ (low, hi)
+}
+
+/// Multiply `x` correctly with a `SizeHint`.
+#[inline]
+pub fn mul_scalar(sh: SizeHint, x: usize) -> SizeHint {
+ let (mut low, mut hi) = sh;
+ low = low.saturating_mul(x);
+ hi = hi.and_then(|elt| elt.checked_mul(x));
+ (low, hi)
+}
+
+/// Return the maximum
+#[inline]
+pub fn max(a: SizeHint, b: SizeHint) -> SizeHint {
+ let (a_lower, a_upper) = a;
+ let (b_lower, b_upper) = b;
+
+ let lower = cmp::max(a_lower, b_lower);
+
+ let upper = match (a_upper, b_upper) {
+ (Some(x), Some(y)) => Some(cmp::max(x, y)),
+ _ => None,
+ };
+
+ (lower, upper)
+}
+
+/// Return the minimum
+#[inline]
+pub fn min(a: SizeHint, b: SizeHint) -> SizeHint {
+ let (a_lower, a_upper) = a;
+ let (b_lower, b_upper) = b;
+ let lower = cmp::min(a_lower, b_lower);
+ let upper = match (a_upper, b_upper) {
+ (Some(u1), Some(u2)) => Some(cmp::min(u1, u2)),
+ _ => a_upper.or(b_upper),
+ };
+ (lower, upper)
+}
+
+#[test]
+fn mul_size_hints() {
+ assert_eq!(mul((3, Some(4)), (3, Some(4))), (9, Some(16)));
+ assert_eq!(mul((3, Some(4)), (usize::MAX, None)), (usize::MAX, None));
+ assert_eq!(mul((3, None), (0, Some(0))), (0, Some(0)));
+}
diff --git a/vendor/itertools/src/sources.rs b/vendor/itertools/src/sources.rs
new file mode 100644
index 00000000..c405ffdc
--- /dev/null
+++ b/vendor/itertools/src/sources.rs
@@ -0,0 +1,153 @@
+//! Iterators that are sources (produce elements from parameters,
+//! not from another iterator).
+#![allow(deprecated)]
+
+use std::fmt;
+use std::mem;
+
+/// Creates a new unfold source with the specified closure as the "iterator
+/// function" and an initial state to eventually pass to the closure
+///
+/// `unfold` is a general iterator builder: it has a mutable state value,
+/// and a closure with access to the state that produces the next value.
+///
+/// This more or less equivalent to a regular struct with an [`Iterator`]
+/// implementation, and is useful for one-off iterators.
+///
+/// ```
+/// // an iterator that yields sequential Fibonacci numbers,
+/// // and stops at the maximum representable value.
+///
+/// use itertools::unfold;
+///
+/// let mut fibonacci = unfold((1u32, 1u32), |(x1, x2)| {
+/// // Attempt to get the next Fibonacci number
+/// let next = x1.saturating_add(*x2);
+///
+/// // Shift left: ret <- x1 <- x2 <- next
+/// let ret = *x1;
+/// *x1 = *x2;
+/// *x2 = next;
+///
+/// // If addition has saturated at the maximum, we are finished
+/// if ret == *x1 && ret > 1 {
+/// None
+/// } else {
+/// Some(ret)
+/// }
+/// });
+///
+/// itertools::assert_equal(fibonacci.by_ref().take(8),
+/// vec![1, 1, 2, 3, 5, 8, 13, 21]);
+/// assert_eq!(fibonacci.last(), Some(2_971_215_073))
+/// ```
+#[deprecated(
+ note = "Use [std::iter::from_fn](https://doc.rust-lang.org/std/iter/fn.from_fn.html) instead",
+ since = "0.13.0"
+)]
+pub fn unfold<A, St, F>(initial_state: St, f: F) -> Unfold<St, F>
+where
+ F: FnMut(&mut St) -> Option<A>,
+{
+ Unfold {
+ f,
+ state: initial_state,
+ }
+}
+
+impl<St, F> fmt::Debug for Unfold<St, F>
+where
+ St: fmt::Debug,
+{
+ debug_fmt_fields!(Unfold, state);
+}
+
+/// See [`unfold`](crate::unfold) for more information.
+#[derive(Clone)]
+#[must_use = "iterators are lazy and do nothing unless consumed"]
+#[deprecated(
+ note = "Use [std::iter::FromFn](https://doc.rust-lang.org/std/iter/struct.FromFn.html) instead",
+ since = "0.13.0"
+)]
+pub struct Unfold<St, F> {
+ f: F,
+ /// Internal state that will be passed to the closure on the next iteration
+ pub state: St,
+}
+
+impl<A, St, F> Iterator for Unfold<St, F>
+where
+ F: FnMut(&mut St) -> Option<A>,
+{
+ type Item = A;
+
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ (self.f)(&mut self.state)
+ }
+}
+
+/// An iterator that infinitely applies function to value and yields results.
+///
+/// This `struct` is created by the [`iterate()`](crate::iterate) function.
+/// See its documentation for more.
+#[derive(Clone)]
+#[must_use = "iterators are lazy and do nothing unless consumed"]
+pub struct Iterate<St, F> {
+ state: St,
+ f: F,
+}
+
+impl<St, F> fmt::Debug for Iterate<St, F>
+where
+ St: fmt::Debug,
+{
+ debug_fmt_fields!(Iterate, state);
+}
+
+impl<St, F> Iterator for Iterate<St, F>
+where
+ F: FnMut(&St) -> St,
+{
+ type Item = St;
+
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ let next_state = (self.f)(&self.state);
+ Some(mem::replace(&mut self.state, next_state))
+ }
+
+ #[inline]
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ (usize::MAX, None)
+ }
+}
+
+/// Creates a new iterator that infinitely applies function to value and yields results.
+///
+/// ```
+/// use itertools::iterate;
+///
+/// itertools::assert_equal(iterate(1, |i| i % 3 + 1).take(5), vec![1, 2, 3, 1, 2]);
+/// ```
+///
+/// **Panics** if compute the next value does.
+///
+/// ```should_panic
+/// # use itertools::iterate;
+/// let mut it = iterate(25u32, |x| x - 10).take_while(|&x| x > 10);
+/// assert_eq!(it.next(), Some(25)); // `Iterate` holds 15.
+/// assert_eq!(it.next(), Some(15)); // `Iterate` holds 5.
+/// it.next(); // `5 - 10` overflows.
+/// ```
+///
+/// You can alternatively use [`core::iter::successors`] as it better describes a finite iterator.
+pub fn iterate<St, F>(initial_value: St, f: F) -> Iterate<St, F>
+where
+ F: FnMut(&St) -> St,
+{
+ Iterate {
+ state: initial_value,
+ f,
+ }
+}
diff --git a/vendor/itertools/src/take_while_inclusive.rs b/vendor/itertools/src/take_while_inclusive.rs
new file mode 100644
index 00000000..420da984
--- /dev/null
+++ b/vendor/itertools/src/take_while_inclusive.rs
@@ -0,0 +1,96 @@
+use core::iter::FusedIterator;
+use std::fmt;
+
+/// An iterator adaptor that consumes elements while the given predicate is
+/// `true`, including the element for which the predicate first returned
+/// `false`.
+///
+/// See [`.take_while_inclusive()`](crate::Itertools::take_while_inclusive)
+/// for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+#[derive(Clone)]
+pub struct TakeWhileInclusive<I, F> {
+ iter: I,
+ predicate: F,
+ done: bool,
+}
+
+impl<I, F> TakeWhileInclusive<I, F>
+where
+ I: Iterator,
+ F: FnMut(&I::Item) -> bool,
+{
+ /// Create a new [`TakeWhileInclusive`] from an iterator and a predicate.
+ pub(crate) fn new(iter: I, predicate: F) -> Self {
+ Self {
+ iter,
+ predicate,
+ done: false,
+ }
+ }
+}
+
+impl<I, F> fmt::Debug for TakeWhileInclusive<I, F>
+where
+ I: Iterator + fmt::Debug,
+{
+ debug_fmt_fields!(TakeWhileInclusive, iter, done);
+}
+
+impl<I, F> Iterator for TakeWhileInclusive<I, F>
+where
+ I: Iterator,
+ F: FnMut(&I::Item) -> bool,
+{
+ type Item = I::Item;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ if self.done {
+ None
+ } else {
+ self.iter.next().map(|item| {
+ if !(self.predicate)(&item) {
+ self.done = true;
+ }
+ item
+ })
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ if self.done {
+ (0, Some(0))
+ } else {
+ (0, self.iter.size_hint().1)
+ }
+ }
+
+ fn fold<B, Fold>(mut self, init: B, mut f: Fold) -> B
+ where
+ Fold: FnMut(B, Self::Item) -> B,
+ {
+ if self.done {
+ init
+ } else {
+ let predicate = &mut self.predicate;
+ self.iter
+ .try_fold(init, |mut acc, item| {
+ let is_ok = predicate(&item);
+ acc = f(acc, item);
+ if is_ok {
+ Ok(acc)
+ } else {
+ Err(acc)
+ }
+ })
+ .unwrap_or_else(|err| err)
+ }
+ }
+}
+
+impl<I, F> FusedIterator for TakeWhileInclusive<I, F>
+where
+ I: Iterator,
+ F: FnMut(&I::Item) -> bool,
+{
+}
diff --git a/vendor/itertools/src/tee.rs b/vendor/itertools/src/tee.rs
new file mode 100644
index 00000000..0984c5de
--- /dev/null
+++ b/vendor/itertools/src/tee.rs
@@ -0,0 +1,93 @@
+use super::size_hint;
+
+use alloc::collections::VecDeque;
+use alloc::rc::Rc;
+use std::cell::RefCell;
+
+/// Common buffer object for the two tee halves
+#[derive(Debug)]
+struct TeeBuffer<A, I> {
+ backlog: VecDeque<A>,
+ iter: I,
+ /// The owner field indicates which id should read from the backlog
+ owner: bool,
+}
+
+/// One half of an iterator pair where both return the same elements.
+///
+/// See [`.tee()`](crate::Itertools::tee) for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+#[derive(Debug)]
+pub struct Tee<I>
+where
+ I: Iterator,
+{
+ rcbuffer: Rc<RefCell<TeeBuffer<I::Item, I>>>,
+ id: bool,
+}
+
+pub fn new<I>(iter: I) -> (Tee<I>, Tee<I>)
+where
+ I: Iterator,
+{
+ let buffer = TeeBuffer {
+ backlog: VecDeque::new(),
+ iter,
+ owner: false,
+ };
+ let t1 = Tee {
+ rcbuffer: Rc::new(RefCell::new(buffer)),
+ id: true,
+ };
+ let t2 = Tee {
+ rcbuffer: t1.rcbuffer.clone(),
+ id: false,
+ };
+ (t1, t2)
+}
+
+impl<I> Iterator for Tee<I>
+where
+ I: Iterator,
+ I::Item: Clone,
+{
+ type Item = I::Item;
+ fn next(&mut self) -> Option<Self::Item> {
+ // .borrow_mut may fail here -- but only if the user has tied some kind of weird
+ // knot where the iterator refers back to itself.
+ let mut buffer = self.rcbuffer.borrow_mut();
+ if buffer.owner == self.id {
+ match buffer.backlog.pop_front() {
+ None => {}
+ some_elt => return some_elt,
+ }
+ }
+ match buffer.iter.next() {
+ None => None,
+ Some(elt) => {
+ buffer.backlog.push_back(elt.clone());
+ buffer.owner = !self.id;
+ Some(elt)
+ }
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let buffer = self.rcbuffer.borrow();
+ let sh = buffer.iter.size_hint();
+
+ if buffer.owner == self.id {
+ let log_len = buffer.backlog.len();
+ size_hint::add_scalar(sh, log_len)
+ } else {
+ sh
+ }
+ }
+}
+
+impl<I> ExactSizeIterator for Tee<I>
+where
+ I: ExactSizeIterator,
+ I::Item: Clone,
+{
+}
diff --git a/vendor/itertools/src/tuple_impl.rs b/vendor/itertools/src/tuple_impl.rs
new file mode 100644
index 00000000..c0d556fc
--- /dev/null
+++ b/vendor/itertools/src/tuple_impl.rs
@@ -0,0 +1,401 @@
+//! Some iterator that produces tuples
+
+use std::iter::Cycle;
+use std::iter::Fuse;
+use std::iter::FusedIterator;
+
+use crate::size_hint;
+
+// `HomogeneousTuple` is a public facade for `TupleCollect`, allowing
+// tuple-related methods to be used by clients in generic contexts, while
+// hiding the implementation details of `TupleCollect`.
+// See https://github.com/rust-itertools/itertools/issues/387
+
+/// Implemented for homogeneous tuples of size up to 12.
+pub trait HomogeneousTuple: TupleCollect {}
+
+impl<T: TupleCollect> HomogeneousTuple for T {}
+
+/// An iterator over a incomplete tuple.
+///
+/// See [`.tuples()`](crate::Itertools::tuples) and
+/// [`Tuples::into_buffer()`].
+#[derive(Clone, Debug)]
+pub struct TupleBuffer<T>
+where
+ T: HomogeneousTuple,
+{
+ cur: usize,
+ buf: T::Buffer,
+}
+
+impl<T> TupleBuffer<T>
+where
+ T: HomogeneousTuple,
+{
+ fn new(buf: T::Buffer) -> Self {
+ Self { cur: 0, buf }
+ }
+}
+
+impl<T> Iterator for TupleBuffer<T>
+where
+ T: HomogeneousTuple,
+{
+ type Item = T::Item;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ let s = self.buf.as_mut();
+ if let Some(ref mut item) = s.get_mut(self.cur) {
+ self.cur += 1;
+ item.take()
+ } else {
+ None
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let buffer = &self.buf.as_ref()[self.cur..];
+ let len = if buffer.is_empty() {
+ 0
+ } else {
+ buffer
+ .iter()
+ .position(|x| x.is_none())
+ .unwrap_or(buffer.len())
+ };
+ (len, Some(len))
+ }
+}
+
+impl<T> ExactSizeIterator for TupleBuffer<T> where T: HomogeneousTuple {}
+
+/// An iterator that groups the items in tuples of a specific size.
+///
+/// See [`.tuples()`](crate::Itertools::tuples) for more information.
+#[derive(Clone, Debug)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct Tuples<I, T>
+where
+ I: Iterator<Item = T::Item>,
+ T: HomogeneousTuple,
+{
+ iter: Fuse<I>,
+ buf: T::Buffer,
+}
+
+/// Create a new tuples iterator.
+pub fn tuples<I, T>(iter: I) -> Tuples<I, T>
+where
+ I: Iterator<Item = T::Item>,
+ T: HomogeneousTuple,
+{
+ Tuples {
+ iter: iter.fuse(),
+ buf: Default::default(),
+ }
+}
+
+impl<I, T> Iterator for Tuples<I, T>
+where
+ I: Iterator<Item = T::Item>,
+ T: HomogeneousTuple,
+{
+ type Item = T;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ T::collect_from_iter(&mut self.iter, &mut self.buf)
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ // The number of elts we've drawn from the underlying iterator, but have
+ // not yet produced as a tuple.
+ let buffered = T::buffer_len(&self.buf);
+ // To that, we must add the size estimates of the underlying iterator.
+ let (unbuffered_lo, unbuffered_hi) = self.iter.size_hint();
+ // The total low estimate is the sum of the already-buffered elements,
+ // plus the low estimate of remaining unbuffered elements, divided by
+ // the tuple size.
+ let total_lo = add_then_div(unbuffered_lo, buffered, T::num_items()).unwrap_or(usize::MAX);
+ // And likewise for the total high estimate, but using the high estimate
+ // of the remaining unbuffered elements.
+ let total_hi = unbuffered_hi.and_then(|hi| add_then_div(hi, buffered, T::num_items()));
+ (total_lo, total_hi)
+ }
+}
+
+/// `(n + a) / d` avoiding overflow when possible, returns `None` if it overflows.
+fn add_then_div(n: usize, a: usize, d: usize) -> Option<usize> {
+ debug_assert_ne!(d, 0);
+ (n / d).checked_add(a / d)?.checked_add((n % d + a % d) / d)
+}
+
+impl<I, T> ExactSizeIterator for Tuples<I, T>
+where
+ I: ExactSizeIterator<Item = T::Item>,
+ T: HomogeneousTuple,
+{
+}
+
+impl<I, T> Tuples<I, T>
+where
+ I: Iterator<Item = T::Item>,
+ T: HomogeneousTuple,
+{
+ /// Return a buffer with the produced items that was not enough to be grouped in a tuple.
+ ///
+ /// ```
+ /// use itertools::Itertools;
+ ///
+ /// let mut iter = (0..5).tuples();
+ /// assert_eq!(Some((0, 1, 2)), iter.next());
+ /// assert_eq!(None, iter.next());
+ /// itertools::assert_equal(vec![3, 4], iter.into_buffer());
+ /// ```
+ pub fn into_buffer(self) -> TupleBuffer<T> {
+ TupleBuffer::new(self.buf)
+ }
+}
+
+/// An iterator over all contiguous windows that produces tuples of a specific size.
+///
+/// See [`.tuple_windows()`](crate::Itertools::tuple_windows) for more
+/// information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+#[derive(Clone, Debug)]
+pub struct TupleWindows<I, T>
+where
+ I: Iterator<Item = T::Item>,
+ T: HomogeneousTuple,
+{
+ iter: I,
+ last: Option<T>,
+}
+
+/// Create a new tuple windows iterator.
+pub fn tuple_windows<I, T>(iter: I) -> TupleWindows<I, T>
+where
+ I: Iterator<Item = T::Item>,
+ T: HomogeneousTuple,
+ T::Item: Clone,
+{
+ TupleWindows { last: None, iter }
+}
+
+impl<I, T> Iterator for TupleWindows<I, T>
+where
+ I: Iterator<Item = T::Item>,
+ T: HomogeneousTuple + Clone,
+ T::Item: Clone,
+{
+ type Item = T;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ if T::num_items() == 1 {
+ return T::collect_from_iter_no_buf(&mut self.iter);
+ }
+ if let Some(new) = self.iter.next() {
+ if let Some(ref mut last) = self.last {
+ last.left_shift_push(new);
+ Some(last.clone())
+ } else {
+ use std::iter::once;
+ let iter = once(new).chain(&mut self.iter);
+ self.last = T::collect_from_iter_no_buf(iter);
+ self.last.clone()
+ }
+ } else {
+ None
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let mut sh = self.iter.size_hint();
+ // Adjust the size hint at the beginning
+ // OR when `num_items == 1` (but it does not change the size hint).
+ if self.last.is_none() {
+ sh = size_hint::sub_scalar(sh, T::num_items() - 1);
+ }
+ sh
+ }
+}
+
+impl<I, T> ExactSizeIterator for TupleWindows<I, T>
+where
+ I: ExactSizeIterator<Item = T::Item>,
+ T: HomogeneousTuple + Clone,
+ T::Item: Clone,
+{
+}
+
+impl<I, T> FusedIterator for TupleWindows<I, T>
+where
+ I: FusedIterator<Item = T::Item>,
+ T: HomogeneousTuple + Clone,
+ T::Item: Clone,
+{
+}
+
+/// An iterator over all windows, wrapping back to the first elements when the
+/// window would otherwise exceed the length of the iterator, producing tuples
+/// of a specific size.
+///
+/// See [`.circular_tuple_windows()`](crate::Itertools::circular_tuple_windows) for more
+/// information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+#[derive(Debug, Clone)]
+pub struct CircularTupleWindows<I, T>
+where
+ I: Iterator<Item = T::Item> + Clone,
+ T: TupleCollect + Clone,
+{
+ iter: TupleWindows<Cycle<I>, T>,
+ len: usize,
+}
+
+pub fn circular_tuple_windows<I, T>(iter: I) -> CircularTupleWindows<I, T>
+where
+ I: Iterator<Item = T::Item> + Clone + ExactSizeIterator,
+ T: TupleCollect + Clone,
+ T::Item: Clone,
+{
+ let len = iter.len();
+ let iter = tuple_windows(iter.cycle());
+
+ CircularTupleWindows { iter, len }
+}
+
+impl<I, T> Iterator for CircularTupleWindows<I, T>
+where
+ I: Iterator<Item = T::Item> + Clone,
+ T: TupleCollect + Clone,
+ T::Item: Clone,
+{
+ type Item = T;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ if self.len != 0 {
+ self.len -= 1;
+ self.iter.next()
+ } else {
+ None
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ (self.len, Some(self.len))
+ }
+}
+
+impl<I, T> ExactSizeIterator for CircularTupleWindows<I, T>
+where
+ I: Iterator<Item = T::Item> + Clone,
+ T: TupleCollect + Clone,
+ T::Item: Clone,
+{
+}
+
+impl<I, T> FusedIterator for CircularTupleWindows<I, T>
+where
+ I: Iterator<Item = T::Item> + Clone,
+ T: TupleCollect + Clone,
+ T::Item: Clone,
+{
+}
+
+pub trait TupleCollect: Sized {
+ type Item;
+ type Buffer: Default + AsRef<[Option<Self::Item>]> + AsMut<[Option<Self::Item>]>;
+
+ fn buffer_len(buf: &Self::Buffer) -> usize {
+ let s = buf.as_ref();
+ s.iter().position(Option::is_none).unwrap_or(s.len())
+ }
+
+ fn collect_from_iter<I>(iter: I, buf: &mut Self::Buffer) -> Option<Self>
+ where
+ I: IntoIterator<Item = Self::Item>;
+
+ fn collect_from_iter_no_buf<I>(iter: I) -> Option<Self>
+ where
+ I: IntoIterator<Item = Self::Item>;
+
+ fn num_items() -> usize;
+
+ fn left_shift_push(&mut self, item: Self::Item);
+}
+
+macro_rules! rev_for_each_ident{
+ ($m:ident, ) => {};
+ ($m:ident, $i0:ident, $($i:ident,)*) => {
+ rev_for_each_ident!($m, $($i,)*);
+ $m!($i0);
+ };
+}
+
+macro_rules! impl_tuple_collect {
+ ($dummy:ident,) => {}; // stop
+ ($dummy:ident, $($Y:ident,)*) => (
+ impl_tuple_collect!($($Y,)*);
+ impl<A> TupleCollect for ($(ignore_ident!($Y, A),)*) {
+ type Item = A;
+ type Buffer = [Option<A>; count_ident!($($Y)*) - 1];
+
+ #[allow(unused_assignments, unused_mut)]
+ fn collect_from_iter<I>(iter: I, buf: &mut Self::Buffer) -> Option<Self>
+ where I: IntoIterator<Item = A>
+ {
+ let mut iter = iter.into_iter();
+ $(
+ let mut $Y = None;
+ )*
+
+ loop {
+ $(
+ $Y = iter.next();
+ if $Y.is_none() {
+ break
+ }
+ )*
+ return Some(($($Y.unwrap()),*,))
+ }
+
+ let mut i = 0;
+ let mut s = buf.as_mut();
+ $(
+ if i < s.len() {
+ s[i] = $Y;
+ i += 1;
+ }
+ )*
+ return None;
+ }
+
+ fn collect_from_iter_no_buf<I>(iter: I) -> Option<Self>
+ where I: IntoIterator<Item = A>
+ {
+ let mut iter = iter.into_iter();
+
+ Some(($(
+ { let $Y = iter.next()?; $Y },
+ )*))
+ }
+
+ fn num_items() -> usize {
+ count_ident!($($Y)*)
+ }
+
+ fn left_shift_push(&mut self, mut item: A) {
+ use std::mem::replace;
+
+ let &mut ($(ref mut $Y),*,) = self;
+ macro_rules! replace_item{($i:ident) => {
+ item = replace($i, item);
+ }}
+ rev_for_each_ident!(replace_item, $($Y,)*);
+ drop(item);
+ }
+ }
+ )
+}
+impl_tuple_collect!(dummy, a, b, c, d, e, f, g, h, i, j, k, l,);
diff --git a/vendor/itertools/src/unique_impl.rs b/vendor/itertools/src/unique_impl.rs
new file mode 100644
index 00000000..0f6397e4
--- /dev/null
+++ b/vendor/itertools/src/unique_impl.rs
@@ -0,0 +1,188 @@
+use std::collections::hash_map::Entry;
+use std::collections::HashMap;
+use std::fmt;
+use std::hash::Hash;
+use std::iter::FusedIterator;
+
+/// An iterator adapter to filter out duplicate elements.
+///
+/// See [`.unique_by()`](crate::Itertools::unique) for more information.
+#[derive(Clone)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct UniqueBy<I: Iterator, V, F> {
+ iter: I,
+ // Use a Hashmap for the Entry API in order to prevent hashing twice.
+ // This can maybe be replaced with a HashSet once `get_or_insert_with`
+ // or a proper Entry API for Hashset is stable and meets this msrv
+ used: HashMap<V, ()>,
+ f: F,
+}
+
+impl<I, V, F> fmt::Debug for UniqueBy<I, V, F>
+where
+ I: Iterator + fmt::Debug,
+ V: fmt::Debug + Hash + Eq,
+{
+ debug_fmt_fields!(UniqueBy, iter, used);
+}
+
+/// Create a new `UniqueBy` iterator.
+pub fn unique_by<I, V, F>(iter: I, f: F) -> UniqueBy<I, V, F>
+where
+ V: Eq + Hash,
+ F: FnMut(&I::Item) -> V,
+ I: Iterator,
+{
+ UniqueBy {
+ iter,
+ used: HashMap::new(),
+ f,
+ }
+}
+
+// count the number of new unique keys in iterable (`used` is the set already seen)
+fn count_new_keys<I, K>(mut used: HashMap<K, ()>, iterable: I) -> usize
+where
+ I: IntoIterator<Item = K>,
+ K: Hash + Eq,
+{
+ let iter = iterable.into_iter();
+ let current_used = used.len();
+ used.extend(iter.map(|key| (key, ())));
+ used.len() - current_used
+}
+
+impl<I, V, F> Iterator for UniqueBy<I, V, F>
+where
+ I: Iterator,
+ V: Eq + Hash,
+ F: FnMut(&I::Item) -> V,
+{
+ type Item = I::Item;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ let Self { iter, used, f } = self;
+ iter.find(|v| used.insert(f(v), ()).is_none())
+ }
+
+ #[inline]
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let (low, hi) = self.iter.size_hint();
+ ((low > 0 && self.used.is_empty()) as usize, hi)
+ }
+
+ fn count(self) -> usize {
+ let mut key_f = self.f;
+ count_new_keys(self.used, self.iter.map(move |elt| key_f(&elt)))
+ }
+}
+
+impl<I, V, F> DoubleEndedIterator for UniqueBy<I, V, F>
+where
+ I: DoubleEndedIterator,
+ V: Eq + Hash,
+ F: FnMut(&I::Item) -> V,
+{
+ fn next_back(&mut self) -> Option<Self::Item> {
+ let Self { iter, used, f } = self;
+ iter.rfind(|v| used.insert(f(v), ()).is_none())
+ }
+}
+
+impl<I, V, F> FusedIterator for UniqueBy<I, V, F>
+where
+ I: FusedIterator,
+ V: Eq + Hash,
+ F: FnMut(&I::Item) -> V,
+{
+}
+
+impl<I> Iterator for Unique<I>
+where
+ I: Iterator,
+ I::Item: Eq + Hash + Clone,
+{
+ type Item = I::Item;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ let UniqueBy { iter, used, .. } = &mut self.iter;
+ iter.find_map(|v| {
+ if let Entry::Vacant(entry) = used.entry(v) {
+ let elt = entry.key().clone();
+ entry.insert(());
+ return Some(elt);
+ }
+ None
+ })
+ }
+
+ #[inline]
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let (low, hi) = self.iter.iter.size_hint();
+ ((low > 0 && self.iter.used.is_empty()) as usize, hi)
+ }
+
+ fn count(self) -> usize {
+ count_new_keys(self.iter.used, self.iter.iter)
+ }
+}
+
+impl<I> DoubleEndedIterator for Unique<I>
+where
+ I: DoubleEndedIterator,
+ I::Item: Eq + Hash + Clone,
+{
+ fn next_back(&mut self) -> Option<Self::Item> {
+ let UniqueBy { iter, used, .. } = &mut self.iter;
+ iter.rev().find_map(|v| {
+ if let Entry::Vacant(entry) = used.entry(v) {
+ let elt = entry.key().clone();
+ entry.insert(());
+ return Some(elt);
+ }
+ None
+ })
+ }
+}
+
+impl<I> FusedIterator for Unique<I>
+where
+ I: FusedIterator,
+ I::Item: Eq + Hash + Clone,
+{
+}
+
+/// An iterator adapter to filter out duplicate elements.
+///
+/// See [`.unique()`](crate::Itertools::unique) for more information.
+#[derive(Clone)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct Unique<I>
+where
+ I: Iterator,
+ I::Item: Eq + Hash + Clone,
+{
+ iter: UniqueBy<I, I::Item, ()>,
+}
+
+impl<I> fmt::Debug for Unique<I>
+where
+ I: Iterator + fmt::Debug,
+ I::Item: Hash + Eq + fmt::Debug + Clone,
+{
+ debug_fmt_fields!(Unique, iter);
+}
+
+pub fn unique<I>(iter: I) -> Unique<I>
+where
+ I: Iterator,
+ I::Item: Eq + Hash + Clone,
+{
+ Unique {
+ iter: UniqueBy {
+ iter,
+ used: HashMap::new(),
+ f: (),
+ },
+ }
+}
diff --git a/vendor/itertools/src/unziptuple.rs b/vendor/itertools/src/unziptuple.rs
new file mode 100644
index 00000000..2c79c2d8
--- /dev/null
+++ b/vendor/itertools/src/unziptuple.rs
@@ -0,0 +1,80 @@
+/// Converts an iterator of tuples into a tuple of containers.
+///
+/// `multiunzip()` consumes an entire iterator of n-ary tuples, producing `n` collections, one for each
+/// column.
+///
+/// This function is, in some sense, the opposite of [`multizip`].
+///
+/// ```
+/// use itertools::multiunzip;
+///
+/// let inputs = vec![(1, 2, 3), (4, 5, 6), (7, 8, 9)];
+///
+/// let (a, b, c): (Vec<_>, Vec<_>, Vec<_>) = multiunzip(inputs);
+///
+/// assert_eq!(a, vec![1, 4, 7]);
+/// assert_eq!(b, vec![2, 5, 8]);
+/// assert_eq!(c, vec![3, 6, 9]);
+/// ```
+///
+/// [`multizip`]: crate::multizip
+pub fn multiunzip<FromI, I>(i: I) -> FromI
+where
+ I: IntoIterator,
+ I::IntoIter: MultiUnzip<FromI>,
+{
+ i.into_iter().multiunzip()
+}
+
+/// An iterator that can be unzipped into multiple collections.
+///
+/// See [`.multiunzip()`](crate::Itertools::multiunzip) for more information.
+pub trait MultiUnzip<FromI>: Iterator {
+ /// Unzip this iterator into multiple collections.
+ fn multiunzip(self) -> FromI;
+}
+
+macro_rules! impl_unzip_iter {
+ ($($T:ident => $FromT:ident),*) => (
+ #[allow(non_snake_case)]
+ impl<IT: Iterator<Item = ($($T,)*)>, $($T, $FromT: Default + Extend<$T>),* > MultiUnzip<($($FromT,)*)> for IT {
+ fn multiunzip(self) -> ($($FromT,)*) {
+ // This implementation mirrors the logic of Iterator::unzip resp. Extend for (A, B) as close as possible.
+ // Unfortunately a lot of the used api there is still unstable (https://github.com/rust-lang/rust/issues/72631).
+ //
+ // Iterator::unzip: https://doc.rust-lang.org/src/core/iter/traits/iterator.rs.html#2825-2865
+ // Extend for (A, B): https://doc.rust-lang.org/src/core/iter/traits/collect.rs.html#370-411
+
+ let mut res = ($($FromT::default(),)*);
+ let ($($FromT,)*) = &mut res;
+
+ // Still unstable #72631
+ // let (lower_bound, _) = self.size_hint();
+ // if lower_bound > 0 {
+ // $($FromT.extend_reserve(lower_bound);)*
+ // }
+
+ self.fold((), |(), ($($T,)*)| {
+ // Still unstable #72631
+ // $( $FromT.extend_one($T); )*
+ $( $FromT.extend(std::iter::once($T)); )*
+ });
+ res
+ }
+ }
+ );
+}
+
+impl_unzip_iter!();
+impl_unzip_iter!(A => FromA);
+impl_unzip_iter!(A => FromA, B => FromB);
+impl_unzip_iter!(A => FromA, B => FromB, C => FromC);
+impl_unzip_iter!(A => FromA, B => FromB, C => FromC, D => FromD);
+impl_unzip_iter!(A => FromA, B => FromB, C => FromC, D => FromD, E => FromE);
+impl_unzip_iter!(A => FromA, B => FromB, C => FromC, D => FromD, E => FromE, F => FromF);
+impl_unzip_iter!(A => FromA, B => FromB, C => FromC, D => FromD, E => FromE, F => FromF, G => FromG);
+impl_unzip_iter!(A => FromA, B => FromB, C => FromC, D => FromD, E => FromE, F => FromF, G => FromG, H => FromH);
+impl_unzip_iter!(A => FromA, B => FromB, C => FromC, D => FromD, E => FromE, F => FromF, G => FromG, H => FromH, I => FromI);
+impl_unzip_iter!(A => FromA, B => FromB, C => FromC, D => FromD, E => FromE, F => FromF, G => FromG, H => FromH, I => FromI, J => FromJ);
+impl_unzip_iter!(A => FromA, B => FromB, C => FromC, D => FromD, E => FromE, F => FromF, G => FromG, H => FromH, I => FromI, J => FromJ, K => FromK);
+impl_unzip_iter!(A => FromA, B => FromB, C => FromC, D => FromD, E => FromE, F => FromF, G => FromG, H => FromH, I => FromI, J => FromJ, K => FromK, L => FromL);
diff --git a/vendor/itertools/src/with_position.rs b/vendor/itertools/src/with_position.rs
new file mode 100644
index 00000000..2d56bb9b
--- /dev/null
+++ b/vendor/itertools/src/with_position.rs
@@ -0,0 +1,124 @@
+use std::fmt;
+use std::iter::{Fuse, FusedIterator, Peekable};
+
+/// An iterator adaptor that wraps each element in an [`Position`].
+///
+/// Iterator element type is `(Position, I::Item)`.
+///
+/// See [`.with_position()`](crate::Itertools::with_position) for more information.
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct WithPosition<I>
+where
+ I: Iterator,
+{
+ handled_first: bool,
+ peekable: Peekable<Fuse<I>>,
+}
+
+impl<I> fmt::Debug for WithPosition<I>
+where
+ I: Iterator,
+ Peekable<Fuse<I>>: fmt::Debug,
+{
+ debug_fmt_fields!(WithPosition, handled_first, peekable);
+}
+
+impl<I> Clone for WithPosition<I>
+where
+ I: Clone + Iterator,
+ I::Item: Clone,
+{
+ clone_fields!(handled_first, peekable);
+}
+
+/// Create a new `WithPosition` iterator.
+pub fn with_position<I>(iter: I) -> WithPosition<I>
+where
+ I: Iterator,
+{
+ WithPosition {
+ handled_first: false,
+ peekable: iter.fuse().peekable(),
+ }
+}
+
+/// The first component of the value yielded by `WithPosition`.
+/// Indicates the position of this element in the iterator results.
+///
+/// See [`.with_position()`](crate::Itertools::with_position) for more information.
+#[derive(Copy, Clone, Debug, PartialEq, Eq)]
+pub enum Position {
+ /// This is the first element.
+ First,
+ /// This is neither the first nor the last element.
+ Middle,
+ /// This is the last element.
+ Last,
+ /// This is the only element.
+ Only,
+}
+
+impl<I: Iterator> Iterator for WithPosition<I> {
+ type Item = (Position, I::Item);
+
+ fn next(&mut self) -> Option<Self::Item> {
+ match self.peekable.next() {
+ Some(item) => {
+ if !self.handled_first {
+ // Haven't seen the first item yet, and there is one to give.
+ self.handled_first = true;
+ // Peek to see if this is also the last item,
+ // in which case tag it as `Only`.
+ match self.peekable.peek() {
+ Some(_) => Some((Position::First, item)),
+ None => Some((Position::Only, item)),
+ }
+ } else {
+ // Have seen the first item, and there's something left.
+ // Peek to see if this is the last item.
+ match self.peekable.peek() {
+ Some(_) => Some((Position::Middle, item)),
+ None => Some((Position::Last, item)),
+ }
+ }
+ }
+ // Iterator is finished.
+ None => None,
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ self.peekable.size_hint()
+ }
+
+ fn fold<B, F>(mut self, mut init: B, mut f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ if let Some(mut head) = self.peekable.next() {
+ if !self.handled_first {
+ // The current head is `First` or `Only`,
+ // it depends if there is another item or not.
+ match self.peekable.next() {
+ Some(second) => {
+ let first = std::mem::replace(&mut head, second);
+ init = f(init, (Position::First, first));
+ }
+ None => return f(init, (Position::Only, head)),
+ }
+ }
+ // Have seen the first item, and there's something left.
+ init = self.peekable.fold(init, |acc, mut item| {
+ std::mem::swap(&mut head, &mut item);
+ f(acc, (Position::Middle, item))
+ });
+ // The "head" is now the last item.
+ init = f(init, (Position::Last, head));
+ }
+ init
+ }
+}
+
+impl<I> ExactSizeIterator for WithPosition<I> where I: ExactSizeIterator {}
+
+impl<I: Iterator> FusedIterator for WithPosition<I> {}
diff --git a/vendor/itertools/src/zip_eq_impl.rs b/vendor/itertools/src/zip_eq_impl.rs
new file mode 100644
index 00000000..3240a40e
--- /dev/null
+++ b/vendor/itertools/src/zip_eq_impl.rs
@@ -0,0 +1,65 @@
+use super::size_hint;
+
+/// An iterator which iterates two other iterators simultaneously
+/// and panic if they have different lengths.
+///
+/// See [`.zip_eq()`](crate::Itertools::zip_eq) for more information.
+#[derive(Clone, Debug)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct ZipEq<I, J> {
+ a: I,
+ b: J,
+}
+
+/// Zips two iterators but **panics** if they are not of the same length.
+///
+/// [`IntoIterator`] enabled version of [`Itertools::zip_eq`](crate::Itertools::zip_eq).
+///
+/// ```
+/// use itertools::zip_eq;
+///
+/// let data = [1, 2, 3, 4, 5];
+/// for (a, b) in zip_eq(&data[..data.len() - 1], &data[1..]) {
+/// /* loop body */
+/// # let _ = (a, b);
+/// }
+/// ```
+pub fn zip_eq<I, J>(i: I, j: J) -> ZipEq<I::IntoIter, J::IntoIter>
+where
+ I: IntoIterator,
+ J: IntoIterator,
+{
+ ZipEq {
+ a: i.into_iter(),
+ b: j.into_iter(),
+ }
+}
+
+impl<I, J> Iterator for ZipEq<I, J>
+where
+ I: Iterator,
+ J: Iterator,
+{
+ type Item = (I::Item, J::Item);
+
+ fn next(&mut self) -> Option<Self::Item> {
+ match (self.a.next(), self.b.next()) {
+ (None, None) => None,
+ (Some(a), Some(b)) => Some((a, b)),
+ (None, Some(_)) | (Some(_), None) => {
+ panic!("itertools: .zip_eq() reached end of one iterator before the other")
+ }
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ size_hint::min(self.a.size_hint(), self.b.size_hint())
+ }
+}
+
+impl<I, J> ExactSizeIterator for ZipEq<I, J>
+where
+ I: ExactSizeIterator,
+ J: ExactSizeIterator,
+{
+}
diff --git a/vendor/itertools/src/zip_longest.rs b/vendor/itertools/src/zip_longest.rs
new file mode 100644
index 00000000..d4eb9a88
--- /dev/null
+++ b/vendor/itertools/src/zip_longest.rs
@@ -0,0 +1,139 @@
+use super::size_hint;
+use std::cmp::Ordering::{Equal, Greater, Less};
+use std::iter::{Fuse, FusedIterator};
+
+use crate::either_or_both::EitherOrBoth;
+
+// ZipLongest originally written by SimonSapin,
+// and dedicated to itertools https://github.com/rust-lang/rust/pull/19283
+
+/// An iterator which iterates two other iterators simultaneously
+/// and wraps the elements in [`EitherOrBoth`].
+///
+/// This iterator is *fused*.
+///
+/// See [`.zip_longest()`](crate::Itertools::zip_longest) for more information.
+#[derive(Clone, Debug)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct ZipLongest<T, U> {
+ a: Fuse<T>,
+ b: Fuse<U>,
+}
+
+/// Create a new `ZipLongest` iterator.
+pub fn zip_longest<T, U>(a: T, b: U) -> ZipLongest<T, U>
+where
+ T: Iterator,
+ U: Iterator,
+{
+ ZipLongest {
+ a: a.fuse(),
+ b: b.fuse(),
+ }
+}
+
+impl<T, U> Iterator for ZipLongest<T, U>
+where
+ T: Iterator,
+ U: Iterator,
+{
+ type Item = EitherOrBoth<T::Item, U::Item>;
+
+ #[inline]
+ fn next(&mut self) -> Option<Self::Item> {
+ match (self.a.next(), self.b.next()) {
+ (None, None) => None,
+ (Some(a), None) => Some(EitherOrBoth::Left(a)),
+ (None, Some(b)) => Some(EitherOrBoth::Right(b)),
+ (Some(a), Some(b)) => Some(EitherOrBoth::Both(a, b)),
+ }
+ }
+
+ #[inline]
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ size_hint::max(self.a.size_hint(), self.b.size_hint())
+ }
+
+ #[inline]
+ fn fold<B, F>(self, init: B, mut f: F) -> B
+ where
+ Self: Sized,
+ F: FnMut(B, Self::Item) -> B,
+ {
+ let Self { mut a, mut b } = self;
+ let res = a.try_fold(init, |init, a| match b.next() {
+ Some(b) => Ok(f(init, EitherOrBoth::Both(a, b))),
+ None => Err(f(init, EitherOrBoth::Left(a))),
+ });
+ match res {
+ Ok(acc) => b.map(EitherOrBoth::Right).fold(acc, f),
+ Err(acc) => a.map(EitherOrBoth::Left).fold(acc, f),
+ }
+ }
+}
+
+impl<T, U> DoubleEndedIterator for ZipLongest<T, U>
+where
+ T: DoubleEndedIterator + ExactSizeIterator,
+ U: DoubleEndedIterator + ExactSizeIterator,
+{
+ #[inline]
+ fn next_back(&mut self) -> Option<Self::Item> {
+ match self.a.len().cmp(&self.b.len()) {
+ Equal => match (self.a.next_back(), self.b.next_back()) {
+ (None, None) => None,
+ (Some(a), Some(b)) => Some(EitherOrBoth::Both(a, b)),
+ // These can only happen if .len() is inconsistent with .next_back()
+ (Some(a), None) => Some(EitherOrBoth::Left(a)),
+ (None, Some(b)) => Some(EitherOrBoth::Right(b)),
+ },
+ Greater => self.a.next_back().map(EitherOrBoth::Left),
+ Less => self.b.next_back().map(EitherOrBoth::Right),
+ }
+ }
+
+ fn rfold<B, F>(self, mut init: B, mut f: F) -> B
+ where
+ F: FnMut(B, Self::Item) -> B,
+ {
+ let Self { mut a, mut b } = self;
+ let a_len = a.len();
+ let b_len = b.len();
+ match a_len.cmp(&b_len) {
+ Equal => {}
+ Greater => {
+ init = a
+ .by_ref()
+ .rev()
+ .take(a_len - b_len)
+ .map(EitherOrBoth::Left)
+ .fold(init, &mut f)
+ }
+ Less => {
+ init = b
+ .by_ref()
+ .rev()
+ .take(b_len - a_len)
+ .map(EitherOrBoth::Right)
+ .fold(init, &mut f)
+ }
+ }
+ a.rfold(init, |acc, item_a| {
+ f(acc, EitherOrBoth::Both(item_a, b.next_back().unwrap()))
+ })
+ }
+}
+
+impl<T, U> ExactSizeIterator for ZipLongest<T, U>
+where
+ T: ExactSizeIterator,
+ U: ExactSizeIterator,
+{
+}
+
+impl<T, U> FusedIterator for ZipLongest<T, U>
+where
+ T: Iterator,
+ U: Iterator,
+{
+}
diff --git a/vendor/itertools/src/ziptuple.rs b/vendor/itertools/src/ziptuple.rs
new file mode 100644
index 00000000..3ada0296
--- /dev/null
+++ b/vendor/itertools/src/ziptuple.rs
@@ -0,0 +1,137 @@
+use super::size_hint;
+
+/// See [`multizip`] for more information.
+#[derive(Clone, Debug)]
+#[must_use = "iterator adaptors are lazy and do nothing unless consumed"]
+pub struct Zip<T> {
+ t: T,
+}
+
+/// An iterator that generalizes `.zip()` and allows running multiple iterators in lockstep.
+///
+/// The iterator `Zip<(I, J, ..., M)>` is formed from a tuple of iterators (or values that
+/// implement [`IntoIterator`]) and yields elements
+/// until any of the subiterators yields `None`.
+///
+/// The iterator element type is a tuple like like `(A, B, ..., E)` where `A` to `E` are the
+/// element types of the subiterator.
+///
+/// **Note:** The result of this function is a value of a named type (`Zip<(I, J,
+/// ..)>` of each component iterator `I, J, ...`) if each component iterator is
+/// nameable.
+///
+/// Prefer [`izip!()`](crate::izip) over `multizip` for the performance benefits of using the
+/// standard library `.zip()`. Prefer `multizip` if a nameable type is needed.
+///
+/// ```
+/// use itertools::multizip;
+///
+/// // iterate over three sequences side-by-side
+/// let mut results = [0, 0, 0, 0];
+/// let inputs = [3, 7, 9, 6];
+///
+/// for (r, index, input) in multizip((&mut results, 0..10, &inputs)) {
+/// *r = index * 10 + input;
+/// }
+///
+/// assert_eq!(results, [0 + 3, 10 + 7, 29, 36]);
+/// ```
+pub fn multizip<T, U>(t: U) -> Zip<T>
+where
+ Zip<T>: From<U> + Iterator,
+{
+ Zip::from(t)
+}
+
+macro_rules! impl_zip_iter {
+ ($($B:ident),*) => (
+ #[allow(non_snake_case)]
+ impl<$($B: IntoIterator),*> From<($($B,)*)> for Zip<($($B::IntoIter,)*)> {
+ fn from(t: ($($B,)*)) -> Self {
+ let ($($B,)*) = t;
+ Zip { t: ($($B.into_iter(),)*) }
+ }
+ }
+
+ #[allow(non_snake_case)]
+ #[allow(unused_assignments)]
+ impl<$($B),*> Iterator for Zip<($($B,)*)>
+ where
+ $(
+ $B: Iterator,
+ )*
+ {
+ type Item = ($($B::Item,)*);
+
+ fn next(&mut self) -> Option<Self::Item>
+ {
+ let ($(ref mut $B,)*) = self.t;
+
+ // NOTE: Just like iter::Zip, we check the iterators
+ // for None in order. We may finish unevenly (some
+ // iterators gave n + 1 elements, some only n).
+ $(
+ let $B = match $B.next() {
+ None => return None,
+ Some(elt) => elt
+ };
+ )*
+ Some(($($B,)*))
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>)
+ {
+ let sh = (usize::MAX, None);
+ let ($(ref $B,)*) = self.t;
+ $(
+ let sh = size_hint::min($B.size_hint(), sh);
+ )*
+ sh
+ }
+ }
+
+ #[allow(non_snake_case)]
+ impl<$($B),*> ExactSizeIterator for Zip<($($B,)*)> where
+ $(
+ $B: ExactSizeIterator,
+ )*
+ { }
+
+ #[allow(non_snake_case)]
+ impl<$($B),*> DoubleEndedIterator for Zip<($($B,)*)> where
+ $(
+ $B: DoubleEndedIterator + ExactSizeIterator,
+ )*
+ {
+ #[inline]
+ fn next_back(&mut self) -> Option<Self::Item> {
+ let ($(ref mut $B,)*) = self.t;
+ let size = *[$( $B.len(), )*].iter().min().unwrap();
+
+ $(
+ if $B.len() != size {
+ for _ in 0..$B.len() - size { $B.next_back(); }
+ }
+ )*
+
+ match ($($B.next_back(),)*) {
+ ($(Some($B),)*) => Some(($($B,)*)),
+ _ => None,
+ }
+ }
+ }
+ );
+}
+
+impl_zip_iter!(A);
+impl_zip_iter!(A, B);
+impl_zip_iter!(A, B, C);
+impl_zip_iter!(A, B, C, D);
+impl_zip_iter!(A, B, C, D, E);
+impl_zip_iter!(A, B, C, D, E, F);
+impl_zip_iter!(A, B, C, D, E, F, G);
+impl_zip_iter!(A, B, C, D, E, F, G, H);
+impl_zip_iter!(A, B, C, D, E, F, G, H, I);
+impl_zip_iter!(A, B, C, D, E, F, G, H, I, J);
+impl_zip_iter!(A, B, C, D, E, F, G, H, I, J, K);
+impl_zip_iter!(A, B, C, D, E, F, G, H, I, J, K, L);
diff --git a/vendor/itertools/tests/adaptors_no_collect.rs b/vendor/itertools/tests/adaptors_no_collect.rs
new file mode 100644
index 00000000..977224af
--- /dev/null
+++ b/vendor/itertools/tests/adaptors_no_collect.rs
@@ -0,0 +1,51 @@
+use itertools::Itertools;
+
+struct PanickingCounter {
+ curr: usize,
+ max: usize,
+}
+
+impl Iterator for PanickingCounter {
+ type Item = ();
+
+ fn next(&mut self) -> Option<Self::Item> {
+ self.curr += 1;
+
+ assert_ne!(
+ self.curr, self.max,
+ "Input iterator reached maximum of {} suggesting collection by adaptor",
+ self.max
+ );
+
+ Some(())
+ }
+}
+
+fn no_collect_test<A, T>(to_adaptor: T)
+where
+ A: Iterator,
+ T: Fn(PanickingCounter) -> A,
+{
+ let counter = PanickingCounter {
+ curr: 0,
+ max: 10_000,
+ };
+ let adaptor = to_adaptor(counter);
+
+ for _ in adaptor.take(5) {}
+}
+
+#[test]
+fn permutations_no_collect() {
+ no_collect_test(|iter| iter.permutations(5))
+}
+
+#[test]
+fn combinations_no_collect() {
+ no_collect_test(|iter| iter.combinations(5))
+}
+
+#[test]
+fn combinations_with_replacement_no_collect() {
+ no_collect_test(|iter| iter.combinations_with_replacement(5))
+}
diff --git a/vendor/itertools/tests/flatten_ok.rs b/vendor/itertools/tests/flatten_ok.rs
new file mode 100644
index 00000000..bf835b5d
--- /dev/null
+++ b/vendor/itertools/tests/flatten_ok.rs
@@ -0,0 +1,76 @@
+use itertools::{assert_equal, Itertools};
+use std::{ops::Range, vec::IntoIter};
+
+fn mix_data() -> IntoIter<Result<Range<i32>, bool>> {
+ vec![Ok(0..2), Err(false), Ok(2..4), Err(true), Ok(4..6)].into_iter()
+}
+
+fn ok_data() -> IntoIter<Result<Range<i32>, bool>> {
+ vec![Ok(0..2), Ok(2..4), Ok(4..6)].into_iter()
+}
+
+#[test]
+fn flatten_ok_mixed_expected_forward() {
+ assert_equal(
+ mix_data().flatten_ok(),
+ vec![
+ Ok(0),
+ Ok(1),
+ Err(false),
+ Ok(2),
+ Ok(3),
+ Err(true),
+ Ok(4),
+ Ok(5),
+ ],
+ );
+}
+
+#[test]
+fn flatten_ok_mixed_expected_reverse() {
+ assert_equal(
+ mix_data().flatten_ok().rev(),
+ vec![
+ Ok(5),
+ Ok(4),
+ Err(true),
+ Ok(3),
+ Ok(2),
+ Err(false),
+ Ok(1),
+ Ok(0),
+ ],
+ );
+}
+
+#[test]
+fn flatten_ok_collect_mixed_forward() {
+ assert_eq!(
+ mix_data().flatten_ok().collect::<Result<Vec<_>, _>>(),
+ Err(false)
+ );
+}
+
+#[test]
+fn flatten_ok_collect_mixed_reverse() {
+ assert_eq!(
+ mix_data().flatten_ok().rev().collect::<Result<Vec<_>, _>>(),
+ Err(true)
+ );
+}
+
+#[test]
+fn flatten_ok_collect_ok_forward() {
+ assert_eq!(
+ ok_data().flatten_ok().collect::<Result<Vec<_>, _>>(),
+ Ok((0..6).collect())
+ );
+}
+
+#[test]
+fn flatten_ok_collect_ok_reverse() {
+ assert_eq!(
+ ok_data().flatten_ok().rev().collect::<Result<Vec<_>, _>>(),
+ Ok((0..6).rev().collect())
+ );
+}
diff --git a/vendor/itertools/tests/laziness.rs b/vendor/itertools/tests/laziness.rs
new file mode 100644
index 00000000..c559d33a
--- /dev/null
+++ b/vendor/itertools/tests/laziness.rs
@@ -0,0 +1,283 @@
+#![allow(unstable_name_collisions)]
+
+use itertools::Itertools;
+
+#[derive(Debug, Clone)]
+#[must_use = "iterators are lazy and do nothing unless consumed"]
+struct Panicking;
+
+impl Iterator for Panicking {
+ type Item = u8;
+
+ fn next(&mut self) -> Option<u8> {
+ panic!("iterator adaptor is not lazy")
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ (0, Some(0))
+ }
+}
+
+impl ExactSizeIterator for Panicking {}
+
+/// ## Usage example
+/// ```compile_fail
+/// must_use_tests! {
+/// name {
+/// Panicking.name(); // Add `let _ =` only if required (encountered error).
+/// }
+/// // ...
+/// }
+/// ```
+///
+/// **TODO:** test missing `must_use` attributes better, maybe with a new lint.
+macro_rules! must_use_tests {
+ ($($(#[$attr:meta])* $name:ident $body:block)*) => {
+ $(
+ /// `#[deny(unused_must_use)]` should force us to ignore the resulting iterators
+ /// by adding `let _ = ...;` on every iterator.
+ /// If it does not, then a `must_use` attribute is missing on the associated struct.
+ ///
+ /// However, it's only helpful if we don't add `let _ =` before seeing if there is an error or not.
+ /// And it does not protect us against removed `must_use` attributes.
+ /// There is no simple way to test this yet.
+ #[deny(unused_must_use)]
+ #[test]
+ $(#[$attr])*
+ fn $name() $body
+ )*
+ };
+}
+
+must_use_tests! {
+ // Itertools trait:
+ interleave {
+ let _ = Panicking.interleave(Panicking);
+ }
+ interleave_shortest {
+ let _ = Panicking.interleave_shortest(Panicking);
+ }
+ intersperse {
+ let _ = Panicking.intersperse(0);
+ }
+ intersperse_with {
+ let _ = Panicking.intersperse_with(|| 0);
+ }
+ get {
+ let _ = Panicking.get(1..4);
+ let _ = Panicking.get(1..=4);
+ let _ = Panicking.get(1..);
+ let _ = Panicking.get(..4);
+ let _ = Panicking.get(..=4);
+ let _ = Panicking.get(..);
+ }
+ zip_longest {
+ let _ = Panicking.zip_longest(Panicking);
+ }
+ zip_eq {
+ let _ = Panicking.zip_eq(Panicking);
+ }
+ batching {
+ let _ = Panicking.batching(Iterator::next);
+ }
+ chunk_by {
+ // ChunkBy
+ let _ = Panicking.chunk_by(|x| *x);
+ // Groups
+ let _ = Panicking.chunk_by(|x| *x).into_iter();
+ }
+ chunks {
+ // IntoChunks
+ let _ = Panicking.chunks(1);
+ let _ = Panicking.chunks(2);
+ // Chunks
+ let _ = Panicking.chunks(1).into_iter();
+ let _ = Panicking.chunks(2).into_iter();
+ }
+ tuple_windows {
+ let _ = Panicking.tuple_windows::<(_,)>();
+ let _ = Panicking.tuple_windows::<(_, _)>();
+ let _ = Panicking.tuple_windows::<(_, _, _)>();
+ }
+ circular_tuple_windows {
+ let _ = Panicking.circular_tuple_windows::<(_,)>();
+ let _ = Panicking.circular_tuple_windows::<(_, _)>();
+ let _ = Panicking.circular_tuple_windows::<(_, _, _)>();
+ }
+ tuples {
+ let _ = Panicking.tuples::<(_,)>();
+ let _ = Panicking.tuples::<(_, _)>();
+ let _ = Panicking.tuples::<(_, _, _)>();
+ }
+ tee {
+ let _ = Panicking.tee();
+ }
+ map_into {
+ let _ = Panicking.map_into::<u16>();
+ }
+ map_ok {
+ let _ = Panicking.map(Ok::<u8, ()>).map_ok(|x| x + 1);
+ }
+ filter_ok {
+ let _ = Panicking.map(Ok::<u8, ()>).filter_ok(|x| x % 2 == 0);
+ }
+ filter_map_ok {
+ let _ = Panicking.map(Ok::<u8, ()>).filter_map_ok(|x| {
+ if x % 2 == 0 {
+ Some(x + 1)
+ } else {
+ None
+ }
+ });
+ }
+ flatten_ok {
+ let _ = Panicking.map(|x| Ok::<_, ()>([x])).flatten_ok();
+ }
+ merge {
+ let _ = Panicking.merge(Panicking);
+ }
+ merge_by {
+ let _ = Panicking.merge_by(Panicking, |_, _| true);
+ }
+ merge_join_by {
+ let _ = Panicking.merge_join_by(Panicking, |_, _| true);
+ let _ = Panicking.merge_join_by(Panicking, Ord::cmp);
+ }
+ #[should_panic]
+ kmerge {
+ let _ = Panicking.map(|_| Panicking).kmerge();
+ }
+ #[should_panic]
+ kmerge_by {
+ let _ = Panicking.map(|_| Panicking).kmerge_by(|_, _| true);
+ }
+ cartesian_product {
+ let _ = Panicking.cartesian_product(Panicking);
+ }
+ multi_cartesian_product {
+ let _ = vec![Panicking, Panicking, Panicking].into_iter().multi_cartesian_product();
+ }
+ coalesce {
+ let _ = Panicking.coalesce(|x, y| if x == y { Ok(x) } else { Err((x, y)) });
+ }
+ dedup {
+ let _ = Panicking.dedup();
+ }
+ dedup_by {
+ let _ = Panicking.dedup_by(|_, _| true);
+ }
+ dedup_with_count {
+ let _ = Panicking.dedup_with_count();
+ }
+ dedup_by_with_count {
+ let _ = Panicking.dedup_by_with_count(|_, _| true);
+ }
+ duplicates {
+ let _ = Panicking.duplicates();
+ }
+ duplicates_by {
+ let _ = Panicking.duplicates_by(|x| *x);
+ }
+ unique {
+ let _ = Panicking.unique();
+ }
+ unique_by {
+ let _ = Panicking.unique_by(|x| *x);
+ }
+ peeking_take_while {
+ let _ = Panicking.peekable().peeking_take_while(|x| x % 2 == 0);
+ }
+ take_while_ref {
+ let _ = Panicking.take_while_ref(|x| x % 2 == 0);
+ }
+ take_while_inclusive {
+ let _ = Panicking.take_while_inclusive(|x| x % 2 == 0);
+ }
+ while_some {
+ let _ = Panicking.map(Some).while_some();
+ }
+ tuple_combinations1 {
+ let _ = Panicking.tuple_combinations::<(_,)>();
+ }
+ #[should_panic]
+ tuple_combinations2 {
+ let _ = Panicking.tuple_combinations::<(_, _)>();
+ }
+ #[should_panic]
+ tuple_combinations3 {
+ let _ = Panicking.tuple_combinations::<(_, _, _)>();
+ }
+ combinations {
+ let _ = Panicking.combinations(0);
+ let _ = Panicking.combinations(1);
+ let _ = Panicking.combinations(2);
+ }
+ combinations_with_replacement {
+ let _ = Panicking.combinations_with_replacement(0);
+ let _ = Panicking.combinations_with_replacement(1);
+ let _ = Panicking.combinations_with_replacement(2);
+ }
+ permutations {
+ let _ = Panicking.permutations(0);
+ let _ = Panicking.permutations(1);
+ let _ = Panicking.permutations(2);
+ }
+ powerset {
+ let _ = Panicking.powerset();
+ }
+ pad_using {
+ let _ = Panicking.pad_using(25, |_| 10);
+ }
+ with_position {
+ let _ = Panicking.with_position();
+ }
+ positions {
+ let _ = Panicking.positions(|v| v % 2 == 0);
+ }
+ update {
+ let _ = Panicking.update(|n| *n += 1);
+ }
+ multipeek {
+ let _ = Panicking.multipeek();
+ }
+ // Not iterator themselves but still lazy.
+ into_grouping_map {
+ let _ = Panicking.map(|x| (x, x + 1)).into_grouping_map();
+ }
+ into_grouping_map_by {
+ let _ = Panicking.into_grouping_map_by(|x| *x);
+ }
+ // Macros:
+ iproduct {
+ let _ = itertools::iproduct!(Panicking);
+ let _ = itertools::iproduct!(Panicking, Panicking);
+ let _ = itertools::iproduct!(Panicking, Panicking, Panicking);
+ }
+ izip {
+ let _ = itertools::izip!(Panicking);
+ let _ = itertools::izip!(Panicking, Panicking);
+ let _ = itertools::izip!(Panicking, Panicking, Panicking);
+ }
+ chain {
+ let _ = itertools::chain!(Panicking);
+ let _ = itertools::chain!(Panicking, Panicking);
+ let _ = itertools::chain!(Panicking, Panicking, Panicking);
+ }
+ // Free functions:
+ multizip {
+ let _ = itertools::multizip((Panicking, Panicking));
+ }
+ put_back {
+ let _ = itertools::put_back(Panicking);
+ let _ = itertools::put_back(Panicking).with_value(15);
+ }
+ peek_nth {
+ let _ = itertools::peek_nth(Panicking);
+ }
+ put_back_n {
+ let _ = itertools::put_back_n(Panicking);
+ }
+ rciter {
+ let _ = itertools::rciter(Panicking);
+ }
+}
diff --git a/vendor/itertools/tests/macros_hygiene.rs b/vendor/itertools/tests/macros_hygiene.rs
new file mode 100644
index 00000000..e6e89555
--- /dev/null
+++ b/vendor/itertools/tests/macros_hygiene.rs
@@ -0,0 +1,27 @@
+mod alloc {}
+mod core {}
+mod either {}
+mod std {}
+
+#[test]
+fn iproduct_hygiene() {
+ let _ = itertools::iproduct!();
+ let _ = itertools::iproduct!(0..6);
+ let _ = itertools::iproduct!(0..6, 0..9);
+ let _ = itertools::iproduct!(0..6, 0..9, 0..12);
+}
+
+#[test]
+fn izip_hygiene() {
+ let _ = itertools::izip!(0..6);
+ let _ = itertools::izip!(0..6, 0..9);
+ let _ = itertools::izip!(0..6, 0..9, 0..12);
+}
+
+#[test]
+fn chain_hygiene() {
+ let _: ::std::iter::Empty<i32> = itertools::chain!();
+ let _ = itertools::chain!(0..6);
+ let _ = itertools::chain!(0..6, 0..9);
+ let _ = itertools::chain!(0..6, 0..9, 0..12);
+}
diff --git a/vendor/itertools/tests/merge_join.rs b/vendor/itertools/tests/merge_join.rs
new file mode 100644
index 00000000..776252fc
--- /dev/null
+++ b/vendor/itertools/tests/merge_join.rs
@@ -0,0 +1,101 @@
+use itertools::free::merge_join_by;
+use itertools::EitherOrBoth;
+
+#[test]
+fn empty() {
+ let left: Vec<u32> = vec![];
+ let right: Vec<u32> = vec![];
+ let expected_result: Vec<EitherOrBoth<u32>> = vec![];
+ let actual_result = merge_join_by(left, right, |l, r| l.cmp(r)).collect::<Vec<_>>();
+ assert_eq!(expected_result, actual_result);
+}
+
+#[test]
+fn left_only() {
+ let left: Vec<u32> = vec![1, 2, 3];
+ let right: Vec<u32> = vec![];
+ let expected_result: Vec<EitherOrBoth<u32>> = vec![
+ EitherOrBoth::Left(1),
+ EitherOrBoth::Left(2),
+ EitherOrBoth::Left(3),
+ ];
+ let actual_result = merge_join_by(left, right, |l, r| l.cmp(r)).collect::<Vec<_>>();
+ assert_eq!(expected_result, actual_result);
+}
+
+#[test]
+fn right_only() {
+ let left: Vec<u32> = vec![];
+ let right: Vec<u32> = vec![1, 2, 3];
+ let expected_result: Vec<EitherOrBoth<u32>> = vec![
+ EitherOrBoth::Right(1),
+ EitherOrBoth::Right(2),
+ EitherOrBoth::Right(3),
+ ];
+ let actual_result = merge_join_by(left, right, |l, r| l.cmp(r)).collect::<Vec<_>>();
+ assert_eq!(expected_result, actual_result);
+}
+
+#[test]
+fn first_left_then_right() {
+ let left: Vec<u32> = vec![1, 2, 3];
+ let right: Vec<u32> = vec![4, 5, 6];
+ let expected_result: Vec<EitherOrBoth<u32>> = vec![
+ EitherOrBoth::Left(1),
+ EitherOrBoth::Left(2),
+ EitherOrBoth::Left(3),
+ EitherOrBoth::Right(4),
+ EitherOrBoth::Right(5),
+ EitherOrBoth::Right(6),
+ ];
+ let actual_result = merge_join_by(left, right, |l, r| l.cmp(r)).collect::<Vec<_>>();
+ assert_eq!(expected_result, actual_result);
+}
+
+#[test]
+fn first_right_then_left() {
+ let left: Vec<u32> = vec![4, 5, 6];
+ let right: Vec<u32> = vec![1, 2, 3];
+ let expected_result: Vec<EitherOrBoth<u32>> = vec![
+ EitherOrBoth::Right(1),
+ EitherOrBoth::Right(2),
+ EitherOrBoth::Right(3),
+ EitherOrBoth::Left(4),
+ EitherOrBoth::Left(5),
+ EitherOrBoth::Left(6),
+ ];
+ let actual_result = merge_join_by(left, right, |l, r| l.cmp(r)).collect::<Vec<_>>();
+ assert_eq!(expected_result, actual_result);
+}
+
+#[test]
+fn interspersed_left_and_right() {
+ let left: Vec<u32> = vec![1, 3, 5];
+ let right: Vec<u32> = vec![2, 4, 6];
+ let expected_result: Vec<EitherOrBoth<u32>> = vec![
+ EitherOrBoth::Left(1),
+ EitherOrBoth::Right(2),
+ EitherOrBoth::Left(3),
+ EitherOrBoth::Right(4),
+ EitherOrBoth::Left(5),
+ EitherOrBoth::Right(6),
+ ];
+ let actual_result = merge_join_by(left, right, |l, r| l.cmp(r)).collect::<Vec<_>>();
+ assert_eq!(expected_result, actual_result);
+}
+
+#[test]
+fn overlapping_left_and_right() {
+ let left: Vec<u32> = vec![1, 3, 4, 6];
+ let right: Vec<u32> = vec![2, 3, 4, 5];
+ let expected_result: Vec<EitherOrBoth<u32>> = vec![
+ EitherOrBoth::Left(1),
+ EitherOrBoth::Right(2),
+ EitherOrBoth::Both(3, 3),
+ EitherOrBoth::Both(4, 4),
+ EitherOrBoth::Right(5),
+ EitherOrBoth::Left(6),
+ ];
+ let actual_result = merge_join_by(left, right, |l, r| l.cmp(r)).collect::<Vec<_>>();
+ assert_eq!(expected_result, actual_result);
+}
diff --git a/vendor/itertools/tests/peeking_take_while.rs b/vendor/itertools/tests/peeking_take_while.rs
new file mode 100644
index 00000000..5be97271
--- /dev/null
+++ b/vendor/itertools/tests/peeking_take_while.rs
@@ -0,0 +1,69 @@
+use itertools::Itertools;
+use itertools::{put_back, put_back_n};
+
+#[test]
+fn peeking_take_while_peekable() {
+ let mut r = (0..10).peekable();
+ r.peeking_take_while(|x| *x <= 3).count();
+ assert_eq!(r.next(), Some(4));
+}
+
+#[test]
+fn peeking_take_while_put_back() {
+ let mut r = put_back(0..10);
+ r.peeking_take_while(|x| *x <= 3).count();
+ assert_eq!(r.next(), Some(4));
+ r.peeking_take_while(|_| true).count();
+ assert_eq!(r.next(), None);
+}
+
+#[test]
+fn peeking_take_while_put_back_n() {
+ let mut r = put_back_n(6..10);
+ for elt in (0..6).rev() {
+ r.put_back(elt);
+ }
+ r.peeking_take_while(|x| *x <= 3).count();
+ assert_eq!(r.next(), Some(4));
+ r.peeking_take_while(|_| true).count();
+ assert_eq!(r.next(), None);
+}
+
+#[test]
+fn peeking_take_while_slice_iter() {
+ let v = [1, 2, 3, 4, 5, 6];
+ let mut r = v.iter();
+ r.peeking_take_while(|x| **x <= 3).count();
+ assert_eq!(r.next(), Some(&4));
+ r.peeking_take_while(|_| true).count();
+ assert_eq!(r.next(), None);
+}
+
+#[test]
+fn peeking_take_while_slice_iter_rev() {
+ let v = [1, 2, 3, 4, 5, 6];
+ let mut r = v.iter().rev();
+ r.peeking_take_while(|x| **x >= 3).count();
+ assert_eq!(r.next(), Some(&2));
+ r.peeking_take_while(|_| true).count();
+ assert_eq!(r.next(), None);
+}
+
+#[test]
+fn peeking_take_while_nested() {
+ let mut xs = (0..10).peekable();
+ let ys: Vec<_> = xs
+ .peeking_take_while(|x| *x < 6)
+ .peeking_take_while(|x| *x != 3)
+ .collect();
+ assert_eq!(ys, vec![0, 1, 2]);
+ assert_eq!(xs.next(), Some(3));
+
+ let mut xs = (4..10).peekable();
+ let ys: Vec<_> = xs
+ .peeking_take_while(|x| *x != 3)
+ .peeking_take_while(|x| *x < 6)
+ .collect();
+ assert_eq!(ys, vec![4, 5]);
+ assert_eq!(xs.next(), Some(6));
+}
diff --git a/vendor/itertools/tests/quick.rs b/vendor/itertools/tests/quick.rs
new file mode 100644
index 00000000..672901e7
--- /dev/null
+++ b/vendor/itertools/tests/quick.rs
@@ -0,0 +1,1969 @@
+//! The purpose of these tests is to cover corner cases of iterators
+//! and adaptors.
+//!
+//! In particular we test the tedious size_hint and exact size correctness.
+//!
+//! **NOTE:** Due to performance limitations, these tests are not run with miri!
+//! They cannot be relied upon to discover soundness issues.
+
+#![cfg(not(miri))]
+#![allow(deprecated, unstable_name_collisions)]
+
+use itertools::free::{
+ cloned, enumerate, multipeek, peek_nth, put_back, put_back_n, rciter, zip, zip_eq,
+};
+use itertools::Itertools;
+use itertools::{iproduct, izip, multizip, EitherOrBoth};
+use quickcheck as qc;
+use std::cmp::{max, min, Ordering};
+use std::collections::{HashMap, HashSet};
+use std::default::Default;
+use std::num::Wrapping;
+use std::ops::Range;
+
+use quickcheck::TestResult;
+use rand::seq::SliceRandom;
+use rand::Rng;
+
+/// Trait for size hint modifier types
+trait HintKind: Copy + Send + qc::Arbitrary {
+ fn loosen_bounds(&self, org_hint: (usize, Option<usize>)) -> (usize, Option<usize>);
+}
+
+/// Exact size hint variant that leaves hints unchanged
+#[derive(Clone, Copy, Debug)]
+struct Exact {}
+
+impl HintKind for Exact {
+ fn loosen_bounds(&self, org_hint: (usize, Option<usize>)) -> (usize, Option<usize>) {
+ org_hint
+ }
+}
+
+impl qc::Arbitrary for Exact {
+ fn arbitrary<G: qc::Gen>(_: &mut G) -> Self {
+ Self {}
+ }
+}
+
+/// Inexact size hint variant to simulate imprecise (but valid) size hints
+///
+/// Will always decrease the lower bound and increase the upper bound
+/// of the size hint by set amounts.
+#[derive(Clone, Copy, Debug)]
+struct Inexact {
+ underestimate: usize,
+ overestimate: usize,
+}
+
+impl HintKind for Inexact {
+ fn loosen_bounds(&self, org_hint: (usize, Option<usize>)) -> (usize, Option<usize>) {
+ let (org_lower, org_upper) = org_hint;
+ (
+ org_lower.saturating_sub(self.underestimate),
+ org_upper.and_then(move |x| x.checked_add(self.overestimate)),
+ )
+ }
+}
+
+impl qc::Arbitrary for Inexact {
+ fn arbitrary<G: qc::Gen>(g: &mut G) -> Self {
+ let ue_value = usize::arbitrary(g);
+ let oe_value = usize::arbitrary(g);
+ // Compensate for quickcheck using extreme values too rarely
+ let ue_choices = &[0, ue_value, usize::MAX];
+ let oe_choices = &[0, oe_value, usize::MAX];
+ Self {
+ underestimate: *ue_choices.choose(g).unwrap(),
+ overestimate: *oe_choices.choose(g).unwrap(),
+ }
+ }
+
+ fn shrink(&self) -> Box<dyn Iterator<Item = Self>> {
+ let underestimate_value = self.underestimate;
+ let overestimate_value = self.overestimate;
+ Box::new(underestimate_value.shrink().flat_map(move |ue_value| {
+ overestimate_value.shrink().map(move |oe_value| Self {
+ underestimate: ue_value,
+ overestimate: oe_value,
+ })
+ }))
+ }
+}
+
+/// Our base iterator that we can impl Arbitrary for
+///
+/// By default we'll return inexact bounds estimates for size_hint
+/// to make tests harder to pass.
+///
+/// NOTE: Iter is tricky and is not fused, to help catch bugs.
+/// At the end it will return None once, then return Some(0),
+/// then return None again.
+#[derive(Clone, Debug)]
+struct Iter<T, SK: HintKind = Inexact> {
+ iterator: Range<T>,
+ // fuse/done flag
+ fuse_flag: i32,
+ hint_kind: SK,
+}
+
+impl<T, HK> Iter<T, HK>
+where
+ HK: HintKind,
+{
+ fn new(it: Range<T>, hint_kind: HK) -> Self {
+ Self {
+ iterator: it,
+ fuse_flag: 0,
+ hint_kind,
+ }
+ }
+}
+
+impl<T, HK> Iterator for Iter<T, HK>
+where
+ Range<T>: Iterator,
+ <Range<T> as Iterator>::Item: Default,
+ HK: HintKind,
+{
+ type Item = <Range<T> as Iterator>::Item;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ let elt = self.iterator.next();
+ if elt.is_none() {
+ self.fuse_flag += 1;
+ // check fuse flag
+ if self.fuse_flag == 2 {
+ return Some(Default::default());
+ }
+ }
+ elt
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let org_hint = self.iterator.size_hint();
+ self.hint_kind.loosen_bounds(org_hint)
+ }
+}
+
+impl<T, HK> DoubleEndedIterator for Iter<T, HK>
+where
+ Range<T>: DoubleEndedIterator,
+ <Range<T> as Iterator>::Item: Default,
+ HK: HintKind,
+{
+ fn next_back(&mut self) -> Option<Self::Item> {
+ self.iterator.next_back()
+ }
+}
+
+impl<T> ExactSizeIterator for Iter<T, Exact>
+where
+ Range<T>: ExactSizeIterator,
+ <Range<T> as Iterator>::Item: Default,
+{
+}
+
+impl<T, HK> qc::Arbitrary for Iter<T, HK>
+where
+ T: qc::Arbitrary,
+ HK: HintKind,
+{
+ fn arbitrary<G: qc::Gen>(g: &mut G) -> Self {
+ Self::new(T::arbitrary(g)..T::arbitrary(g), HK::arbitrary(g))
+ }
+
+ fn shrink(&self) -> Box<dyn Iterator<Item = Self>> {
+ let r = self.iterator.clone();
+ let hint_kind = self.hint_kind;
+ Box::new(r.start.shrink().flat_map(move |a| {
+ r.end
+ .shrink()
+ .map(move |b| Self::new(a.clone()..b, hint_kind))
+ }))
+ }
+}
+
+/// A meta-iterator which yields `Iter<i32>`s whose start/endpoints are
+/// increased or decreased linearly on each iteration.
+#[derive(Clone, Debug)]
+struct ShiftRange<HK = Inexact> {
+ range_start: i32,
+ range_end: i32,
+ start_step: i32,
+ end_step: i32,
+ iter_count: u32,
+ hint_kind: HK,
+}
+
+impl<HK> Iterator for ShiftRange<HK>
+where
+ HK: HintKind,
+{
+ type Item = Iter<i32, HK>;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ if self.iter_count == 0 {
+ return None;
+ }
+
+ let iter = Iter::new(self.range_start..self.range_end, self.hint_kind);
+
+ self.range_start += self.start_step;
+ self.range_end += self.end_step;
+ self.iter_count -= 1;
+
+ Some(iter)
+ }
+}
+
+impl ExactSizeIterator for ShiftRange<Exact> {}
+
+impl<HK> qc::Arbitrary for ShiftRange<HK>
+where
+ HK: HintKind,
+{
+ fn arbitrary<G: qc::Gen>(g: &mut G) -> Self {
+ const MAX_STARTING_RANGE_DIFF: i32 = 32;
+ const MAX_STEP_MODULO: i32 = 8;
+ const MAX_ITER_COUNT: u32 = 3;
+
+ let range_start = qc::Arbitrary::arbitrary(g);
+ let range_end = range_start + g.gen_range(0, MAX_STARTING_RANGE_DIFF + 1);
+ let start_step = g.gen_range(-MAX_STEP_MODULO, MAX_STEP_MODULO + 1);
+ let end_step = g.gen_range(-MAX_STEP_MODULO, MAX_STEP_MODULO + 1);
+ let iter_count = g.gen_range(0, MAX_ITER_COUNT + 1);
+ let hint_kind = qc::Arbitrary::arbitrary(g);
+
+ Self {
+ range_start,
+ range_end,
+ start_step,
+ end_step,
+ iter_count,
+ hint_kind,
+ }
+ }
+}
+
+fn correct_count<I, F>(get_it: F) -> bool
+where
+ I: Iterator,
+ F: Fn() -> I,
+{
+ let mut counts = vec![get_it().count()];
+
+ 'outer: loop {
+ let mut it = get_it();
+
+ for _ in 0..(counts.len() - 1) {
+ if it.next().is_none() {
+ panic!("Iterator shouldn't be finished, may not be deterministic");
+ }
+ }
+
+ if it.next().is_none() {
+ break 'outer;
+ }
+
+ counts.push(it.count());
+ }
+
+ let total_actual_count = counts.len() - 1;
+
+ for (i, returned_count) in counts.into_iter().enumerate() {
+ let actual_count = total_actual_count - i;
+ if actual_count != returned_count {
+ println!(
+ "Total iterations: {} True count: {} returned count: {}",
+ i, actual_count, returned_count
+ );
+
+ return false;
+ }
+ }
+
+ true
+}
+
+fn correct_size_hint<I: Iterator>(mut it: I) -> bool {
+ // record size hint at each iteration
+ let initial_hint = it.size_hint();
+ let mut hints = Vec::with_capacity(initial_hint.0 + 1);
+ hints.push(initial_hint);
+ while let Some(_) = it.next() {
+ hints.push(it.size_hint())
+ }
+
+ let mut true_count = hints.len(); // start off +1 too much
+
+ // check all the size hints
+ for &(low, hi) in &hints {
+ true_count -= 1;
+ if low > true_count || (hi.is_some() && hi.unwrap() < true_count) {
+ println!("True size: {:?}, size hint: {:?}", true_count, (low, hi));
+ //println!("All hints: {:?}", hints);
+ return false;
+ }
+ }
+ true
+}
+
+fn exact_size<I: ExactSizeIterator>(mut it: I) -> bool {
+ // check every iteration
+ let (mut low, mut hi) = it.size_hint();
+ if Some(low) != hi {
+ return false;
+ }
+ while let Some(_) = it.next() {
+ let (xlow, xhi) = it.size_hint();
+ if low != xlow + 1 {
+ return false;
+ }
+ low = xlow;
+ hi = xhi;
+ if Some(low) != hi {
+ return false;
+ }
+ }
+ let (low, hi) = it.size_hint();
+ low == 0 && hi == Some(0)
+}
+
+// Exact size for this case, without ExactSizeIterator
+fn exact_size_for_this<I: Iterator>(mut it: I) -> bool {
+ // check every iteration
+ let (mut low, mut hi) = it.size_hint();
+ if Some(low) != hi {
+ return false;
+ }
+ while let Some(_) = it.next() {
+ let (xlow, xhi) = it.size_hint();
+ if low != xlow + 1 {
+ return false;
+ }
+ low = xlow;
+ hi = xhi;
+ if Some(low) != hi {
+ return false;
+ }
+ }
+ let (low, hi) = it.size_hint();
+ low == 0 && hi == Some(0)
+}
+
+/*
+ * NOTE: Range<i8> is broken!
+ * (all signed ranges are)
+#[quickcheck]
+fn size_range_i8(a: Iter<i8>) -> bool {
+ exact_size(a)
+}
+
+#[quickcheck]
+fn size_range_i16(a: Iter<i16>) -> bool {
+ exact_size(a)
+}
+
+#[quickcheck]
+fn size_range_u8(a: Iter<u8>) -> bool {
+ exact_size(a)
+}
+ */
+
+macro_rules! quickcheck {
+ // accept several property function definitions
+ // The property functions can use pattern matching and `mut` as usual
+ // in the function arguments, but the functions can not be generic.
+ {$($(#$attr:tt)* fn $fn_name:ident($($arg:tt)*) -> $ret:ty { $($code:tt)* })*} => (
+ $(
+ #[test]
+ $(#$attr)*
+ fn $fn_name() {
+ fn prop($($arg)*) -> $ret {
+ $($code)*
+ }
+ ::quickcheck::quickcheck(quickcheck!(@fn prop [] $($arg)*));
+ }
+ )*
+ );
+ // parse argument list (with patterns allowed) into prop as fn(_, _) -> _
+ (@fn $f:ident [$($t:tt)*]) => {
+ $f as fn($($t),*) -> _
+ };
+ (@fn $f:ident [$($p:tt)*] : $($tail:tt)*) => {
+ quickcheck!(@fn $f [$($p)* _] $($tail)*)
+ };
+ (@fn $f:ident [$($p:tt)*] $t:tt $($tail:tt)*) => {
+ quickcheck!(@fn $f [$($p)*] $($tail)*)
+ };
+}
+
+quickcheck! {
+
+ fn size_product(a: Iter<u16>, b: Iter<u16>) -> bool {
+ correct_size_hint(a.cartesian_product(b))
+ }
+ fn size_product3(a: Iter<u16>, b: Iter<u16>, c: Iter<u16>) -> bool {
+ correct_size_hint(iproduct!(a, b, c))
+ }
+
+ fn correct_cartesian_product3(a: Iter<u16>, b: Iter<u16>, c: Iter<u16>,
+ take_manual: usize) -> ()
+ {
+ // test correctness of iproduct through regular iteration (take)
+ // and through fold.
+ let ac = a.clone();
+ let br = &b.clone();
+ let cr = &c.clone();
+ let answer: Vec<_> = ac.flat_map(move |ea| br.clone().flat_map(move |eb| cr.clone().map(move |ec| (ea, eb, ec)))).collect();
+ let mut product_iter = iproduct!(a, b, c);
+ let mut actual = Vec::new();
+
+ actual.extend((&mut product_iter).take(take_manual));
+ if actual.len() == take_manual {
+ product_iter.fold((), |(), elt| actual.push(elt));
+ }
+ assert_eq!(answer, actual);
+ }
+
+ fn size_multi_product(a: ShiftRange) -> bool {
+ correct_size_hint(a.multi_cartesian_product())
+ }
+ fn correct_multi_product3(a: ShiftRange, take_manual: usize) -> () {
+ // Fix no. of iterators at 3
+ let a = ShiftRange { iter_count: 3, ..a };
+
+ // test correctness of MultiProduct through regular iteration (take)
+ // and through fold.
+ let mut iters = a.clone();
+ let i0 = iters.next().unwrap();
+ let i1r = &iters.next().unwrap();
+ let i2r = &iters.next().unwrap();
+ let answer: Vec<_> = i0.flat_map(move |ei0| i1r.clone().flat_map(move |ei1| i2r.clone().map(move |ei2| vec![ei0, ei1, ei2]))).collect();
+ let mut multi_product = a.clone().multi_cartesian_product();
+ let mut actual = Vec::new();
+
+ actual.extend((&mut multi_product).take(take_manual));
+ if actual.len() == take_manual {
+ multi_product.fold((), |(), elt| actual.push(elt));
+ }
+ assert_eq!(answer, actual);
+
+ assert_eq!(answer.into_iter().last(), a.multi_cartesian_product().last());
+ }
+
+ fn correct_empty_multi_product() -> () {
+ let empty = Vec::<std::vec::IntoIter<i32>>::new().into_iter().multi_cartesian_product();
+ assert!(correct_size_hint(empty.clone()));
+ itertools::assert_equal(empty, std::iter::once(Vec::new()))
+ }
+
+ fn size_multipeek(a: Iter<u16, Exact>, s: u8) -> bool {
+ let mut it = multipeek(a);
+ // peek a few times
+ for _ in 0..s {
+ it.peek();
+ }
+ exact_size(it)
+ }
+
+ fn size_peek_nth(a: Iter<u16, Exact>, s: u8) -> bool {
+ let mut it = peek_nth(a);
+ // peek a few times
+ for n in 0..s {
+ it.peek_nth(n as usize);
+ }
+ exact_size(it)
+ }
+
+ fn equal_merge(mut a: Vec<i16>, mut b: Vec<i16>) -> bool {
+ a.sort();
+ b.sort();
+ let mut merged = a.clone();
+ merged.extend(b.iter().cloned());
+ merged.sort();
+ itertools::equal(&merged, a.iter().merge(&b))
+ }
+ fn size_merge(a: Iter<u16>, b: Iter<u16>) -> bool {
+ correct_size_hint(a.merge(b))
+ }
+ fn size_zip(a: Iter<i16, Exact>, b: Iter<i16, Exact>, c: Iter<i16, Exact>) -> bool {
+ let filt = a.clone().dedup();
+ correct_size_hint(multizip((filt, b.clone(), c.clone()))) &&
+ exact_size(multizip((a, b, c)))
+ }
+ fn size_zip_rc(a: Iter<i16>, b: Iter<i16>) -> bool {
+ let rc = rciter(a);
+ correct_size_hint(multizip((&rc, &rc, b)))
+ }
+
+ fn size_zip_macro(a: Iter<i16, Exact>, b: Iter<i16, Exact>, c: Iter<i16, Exact>) -> bool {
+ let filt = a.clone().dedup();
+ correct_size_hint(izip!(filt, b.clone(), c.clone())) &&
+ exact_size(izip!(a, b, c))
+ }
+ fn equal_kmerge(mut a: Vec<i16>, mut b: Vec<i16>, mut c: Vec<i16>) -> bool {
+ use itertools::free::kmerge;
+ a.sort();
+ b.sort();
+ c.sort();
+ let mut merged = a.clone();
+ merged.extend(b.iter().cloned());
+ merged.extend(c.iter().cloned());
+ merged.sort();
+ itertools::equal(merged.into_iter(), kmerge(vec![a, b, c]))
+ }
+
+ // Any number of input iterators
+ fn equal_kmerge_2(mut inputs: Vec<Vec<i16>>) -> bool {
+ use itertools::free::kmerge;
+ // sort the inputs
+ for input in &mut inputs {
+ input.sort();
+ }
+ let mut merged = inputs.concat();
+ merged.sort();
+ itertools::equal(merged.into_iter(), kmerge(inputs))
+ }
+
+ // Any number of input iterators
+ fn equal_kmerge_by_ge(mut inputs: Vec<Vec<i16>>) -> bool {
+ // sort the inputs
+ for input in &mut inputs {
+ input.sort();
+ input.reverse();
+ }
+ let mut merged = inputs.concat();
+ merged.sort();
+ merged.reverse();
+ itertools::equal(merged.into_iter(),
+ inputs.into_iter().kmerge_by(|x, y| x >= y))
+ }
+
+ // Any number of input iterators
+ fn equal_kmerge_by_lt(mut inputs: Vec<Vec<i16>>) -> bool {
+ // sort the inputs
+ for input in &mut inputs {
+ input.sort();
+ }
+ let mut merged = inputs.concat();
+ merged.sort();
+ itertools::equal(merged.into_iter(),
+ inputs.into_iter().kmerge_by(|x, y| x < y))
+ }
+
+ // Any number of input iterators
+ fn equal_kmerge_by_le(mut inputs: Vec<Vec<i16>>) -> bool {
+ // sort the inputs
+ for input in &mut inputs {
+ input.sort();
+ }
+ let mut merged = inputs.concat();
+ merged.sort();
+ itertools::equal(merged.into_iter(),
+ inputs.into_iter().kmerge_by(|x, y| x <= y))
+ }
+ fn size_kmerge(a: Iter<i16>, b: Iter<i16>, c: Iter<i16>) -> bool {
+ use itertools::free::kmerge;
+ correct_size_hint(kmerge(vec![a, b, c]))
+ }
+ fn equal_zip_eq(a: Vec<i32>, b: Vec<i32>) -> bool {
+ let len = std::cmp::min(a.len(), b.len());
+ let a = &a[..len];
+ let b = &b[..len];
+ itertools::equal(zip_eq(a, b), zip(a, b))
+ }
+
+ #[should_panic]
+ fn zip_eq_panics(a: Vec<u8>, b: Vec<u8>) -> TestResult {
+ if a.len() == b.len() { return TestResult::discard(); }
+ zip_eq(a.iter(), b.iter()).for_each(|_| {});
+ TestResult::passed() // won't come here
+ }
+
+ fn equal_positions(a: Vec<i32>) -> bool {
+ let with_pos = a.iter().positions(|v| v % 2 == 0);
+ let without = a.iter().enumerate().filter(|(_, v)| *v % 2 == 0).map(|(i, _)| i);
+ itertools::equal(with_pos.clone(), without.clone())
+ && itertools::equal(with_pos.rev(), without.rev())
+ }
+ fn size_zip_longest(a: Iter<i16, Exact>, b: Iter<i16, Exact>) -> bool {
+ let filt = a.clone().dedup();
+ let filt2 = b.clone().dedup();
+ correct_size_hint(filt.zip_longest(b.clone())) &&
+ correct_size_hint(a.clone().zip_longest(filt2)) &&
+ exact_size(a.zip_longest(b))
+ }
+ fn size_2_zip_longest(a: Iter<i16>, b: Iter<i16>) -> bool {
+ let it = a.clone().zip_longest(b.clone());
+ let jt = a.clone().zip_longest(b.clone());
+ itertools::equal(a,
+ it.filter_map(|elt| match elt {
+ EitherOrBoth::Both(x, _) => Some(x),
+ EitherOrBoth::Left(x) => Some(x),
+ _ => None,
+ }
+ ))
+ &&
+ itertools::equal(b,
+ jt.filter_map(|elt| match elt {
+ EitherOrBoth::Both(_, y) => Some(y),
+ EitherOrBoth::Right(y) => Some(y),
+ _ => None,
+ }
+ ))
+ }
+ fn size_interleave(a: Iter<i16>, b: Iter<i16>) -> bool {
+ correct_size_hint(a.interleave(b))
+ }
+ fn exact_interleave(a: Iter<i16, Exact>, b: Iter<i16, Exact>) -> bool {
+ exact_size_for_this(a.interleave(b))
+ }
+ fn size_interleave_shortest(a: Iter<i16>, b: Iter<i16>) -> bool {
+ correct_size_hint(a.interleave_shortest(b))
+ }
+ fn exact_interleave_shortest(a: Vec<()>, b: Vec<()>) -> bool {
+ exact_size_for_this(a.iter().interleave_shortest(&b))
+ }
+ fn size_intersperse(a: Iter<i16>, x: i16) -> bool {
+ correct_size_hint(a.intersperse(x))
+ }
+ fn equal_intersperse(a: Vec<i32>, x: i32) -> bool {
+ let mut inter = false;
+ let mut i = 0;
+ for elt in a.iter().cloned().intersperse(x) {
+ if inter {
+ if elt != x { return false }
+ } else {
+ if elt != a[i] { return false }
+ i += 1;
+ }
+ inter = !inter;
+ }
+ true
+ }
+
+ fn equal_combinations_2(a: Vec<u8>) -> bool {
+ let mut v = Vec::new();
+ for (i, x) in enumerate(&a) {
+ for y in &a[i + 1..] {
+ v.push((x, y));
+ }
+ }
+ itertools::equal(a.iter().tuple_combinations::<(_, _)>(), v)
+ }
+
+ fn collect_tuple_matches_size(a: Iter<i16>) -> bool {
+ let size = a.clone().count();
+ a.collect_tuple::<(_, _, _)>().is_some() == (size == 3)
+ }
+
+ fn correct_permutations(vals: HashSet<i32>, k: usize) -> () {
+ // Test permutations only on iterators of distinct integers, to prevent
+ // false positives.
+
+ const MAX_N: usize = 5;
+
+ let n = min(vals.len(), MAX_N);
+ let vals: HashSet<i32> = vals.into_iter().take(n).collect();
+
+ let perms = vals.iter().permutations(k);
+
+ let mut actual = HashSet::new();
+
+ for perm in perms {
+ assert_eq!(perm.len(), k);
+
+ let all_items_valid = perm.iter().all(|p| vals.contains(p));
+ assert!(all_items_valid, "perm contains value not from input: {:?}", perm);
+
+ // Check that all perm items are distinct
+ let distinct_len = {
+ let perm_set: HashSet<_> = perm.iter().collect();
+ perm_set.len()
+ };
+ assert_eq!(perm.len(), distinct_len);
+
+ // Check that the perm is new
+ assert!(actual.insert(perm.clone()), "perm already encountered: {:?}", perm);
+ }
+ }
+
+ fn permutations_lexic_order(a: usize, b: usize) -> () {
+ let a = a % 6;
+ let b = b % 6;
+
+ let n = max(a, b);
+ let k = min (a, b);
+
+ let expected_first: Vec<usize> = (0..k).collect();
+ let expected_last: Vec<usize> = ((n - k)..n).rev().collect();
+
+ let mut perms = (0..n).permutations(k);
+
+ let mut curr_perm = match perms.next() {
+ Some(p) => p,
+ None => { return; }
+ };
+
+ assert_eq!(expected_first, curr_perm);
+
+ for next_perm in perms {
+ assert!(
+ next_perm > curr_perm,
+ "next perm isn't greater-than current; next_perm={:?} curr_perm={:?} n={}",
+ next_perm, curr_perm, n
+ );
+
+ curr_perm = next_perm;
+ }
+
+ assert_eq!(expected_last, curr_perm);
+
+ }
+
+ fn permutations_count(n: usize, k: usize) -> bool {
+ let n = n % 6;
+
+ correct_count(|| (0..n).permutations(k))
+ }
+
+ fn permutations_size(a: Iter<i32>, k: usize) -> bool {
+ correct_size_hint(a.take(5).permutations(k))
+ }
+
+ fn permutations_k0_yields_once(n: usize) -> () {
+ let k = 0;
+ let expected: Vec<Vec<usize>> = vec![vec![]];
+ let actual = (0..n).permutations(k).collect_vec();
+
+ assert_eq!(expected, actual);
+ }
+}
+
+quickcheck! {
+ fn correct_peek_nth(mut a: Vec<u16>) -> () {
+ let mut it = peek_nth(a.clone());
+ for start_pos in 0..a.len() + 2 {
+ for real_idx in start_pos..a.len() + 2 {
+ let peek_idx = real_idx - start_pos;
+ assert_eq!(it.peek_nth(peek_idx), a.get(real_idx));
+ assert_eq!(it.peek_nth_mut(peek_idx), a.get_mut(real_idx));
+ }
+ assert_eq!(it.next(), a.get(start_pos).copied());
+ }
+ }
+
+ fn peek_nth_mut_replace(a: Vec<u16>, b: Vec<u16>) -> () {
+ let mut it = peek_nth(a.iter());
+ for (i, m) in b.iter().enumerate().take(a.len().min(b.len())) {
+ *it.peek_nth_mut(i).unwrap() = m;
+ }
+ for (i, m) in a.iter().enumerate() {
+ assert_eq!(it.next().unwrap(), b.get(i).unwrap_or(m));
+ }
+ assert_eq!(it.next(), None);
+ assert_eq!(it.next(), None);
+ }
+
+ fn peek_nth_next_if(a: Vec<u8>) -> () {
+ let mut it = peek_nth(a.clone());
+ for (idx, mut value) in a.iter().copied().enumerate() {
+ let should_be_none = it.next_if(|x| x != &value);
+ assert_eq!(should_be_none, None);
+ if value % 5 == 0 {
+ // Sometimes, peek up to 3 further.
+ let n = value as usize % 3;
+ let nth = it.peek_nth(n);
+ assert_eq!(nth, a.get(idx + n));
+ } else if value % 5 == 1 {
+ // Sometimes, peek next element mutably.
+ if let Some(v) = it.peek_mut() {
+ *v = v.wrapping_sub(1);
+ let should_be_none = it.next_if_eq(&value);
+ assert_eq!(should_be_none, None);
+ value = value.wrapping_sub(1);
+ }
+ }
+ let eq = it.next_if_eq(&value);
+ assert_eq!(eq, Some(value));
+ }
+ }
+}
+
+quickcheck! {
+ fn dedup_via_coalesce(a: Vec<i32>) -> bool {
+ let mut b = a.clone();
+ b.dedup();
+ itertools::equal(
+ &b,
+ a
+ .iter()
+ .coalesce(|x, y| {
+ if x==y {
+ Ok(x)
+ } else {
+ Err((x, y))
+ }
+ })
+ .fold(vec![], |mut v, n| {
+ v.push(n);
+ v
+ })
+ )
+ }
+}
+
+quickcheck! {
+ fn equal_dedup(a: Vec<i32>) -> bool {
+ let mut b = a.clone();
+ b.dedup();
+ itertools::equal(&b, a.iter().dedup())
+ }
+}
+
+quickcheck! {
+ fn equal_dedup_by(a: Vec<(i32, i32)>) -> bool {
+ let mut b = a.clone();
+ b.dedup_by(|x, y| x.0==y.0);
+ itertools::equal(&b, a.iter().dedup_by(|x, y| x.0==y.0))
+ }
+}
+
+quickcheck! {
+ fn size_dedup(a: Vec<i32>) -> bool {
+ correct_size_hint(a.iter().dedup())
+ }
+}
+
+quickcheck! {
+ fn size_dedup_by(a: Vec<(i32, i32)>) -> bool {
+ correct_size_hint(a.iter().dedup_by(|x, y| x.0==y.0))
+ }
+}
+
+quickcheck! {
+ fn exact_repeatn((n, x): (usize, i32)) -> bool {
+ let it = itertools::repeat_n(x, n);
+ exact_size(it)
+ }
+}
+
+quickcheck! {
+ fn size_put_back(a: Vec<u8>, x: Option<u8>) -> bool {
+ let mut it = put_back(a.into_iter());
+ if let Some(t) = x {
+ it.put_back(t);
+ }
+ correct_size_hint(it)
+ }
+}
+
+quickcheck! {
+ fn size_put_backn(a: Vec<u8>, b: Vec<u8>) -> bool {
+ let mut it = put_back_n(a.into_iter());
+ for elt in b {
+ it.put_back(elt)
+ }
+ correct_size_hint(it)
+ }
+}
+
+quickcheck! {
+ fn merge_join_by_ordering_vs_bool(a: Vec<u8>, b: Vec<u8>) -> bool {
+ use either::Either;
+ use itertools::free::merge_join_by;
+ let mut has_equal = false;
+ let it_ord = merge_join_by(a.clone(), b.clone(), Ord::cmp).flat_map(|v| match v {
+ EitherOrBoth::Both(l, r) => {
+ has_equal = true;
+ vec![Either::Left(l), Either::Right(r)]
+ }
+ EitherOrBoth::Left(l) => vec![Either::Left(l)],
+ EitherOrBoth::Right(r) => vec![Either::Right(r)],
+ });
+ let it_bool = merge_join_by(a, b, PartialOrd::le);
+ itertools::equal(it_ord, it_bool) || has_equal
+ }
+ fn merge_join_by_bool_unwrapped_is_merge_by(a: Vec<u8>, b: Vec<u8>) -> bool {
+ use either::Either;
+ use itertools::free::merge_join_by;
+ let it = a.clone().into_iter().merge_by(b.clone(), PartialOrd::ge);
+ let it_join = merge_join_by(a, b, PartialOrd::ge).map(Either::into_inner);
+ itertools::equal(it, it_join)
+ }
+}
+
+quickcheck! {
+ fn size_tee(a: Vec<u8>) -> bool {
+ let (mut t1, mut t2) = a.iter().tee();
+ t1.next();
+ t1.next();
+ t2.next();
+ exact_size(t1) && exact_size(t2)
+ }
+}
+
+quickcheck! {
+ fn size_tee_2(a: Vec<u8>) -> bool {
+ let (mut t1, mut t2) = a.iter().dedup().tee();
+ t1.next();
+ t1.next();
+ t2.next();
+ correct_size_hint(t1) && correct_size_hint(t2)
+ }
+}
+
+quickcheck! {
+ fn size_take_while_ref(a: Vec<u8>, stop: u8) -> bool {
+ correct_size_hint(a.iter().take_while_ref(|x| **x != stop))
+ }
+}
+
+quickcheck! {
+ fn equal_partition(a: Vec<i32>) -> bool {
+ let mut a = a;
+ let mut ap = a.clone();
+ let split_index = itertools::partition(&mut ap, |x| *x >= 0);
+ let parted = (0..split_index).all(|i| ap[i] >= 0) &&
+ (split_index..a.len()).all(|i| ap[i] < 0);
+
+ a.sort();
+ ap.sort();
+ parted && (a == ap)
+ }
+}
+
+quickcheck! {
+ fn size_combinations(a: Iter<i16>) -> bool {
+ let it = a.clone().tuple_combinations::<(_, _)>();
+ correct_size_hint(it.clone()) && it.count() == binomial(a.count(), 2)
+ }
+
+ fn exact_size_combinations_1(a: Vec<u8>) -> bool {
+ let it = a.iter().tuple_combinations::<(_,)>();
+ exact_size_for_this(it.clone()) && it.count() == binomial(a.len(), 1)
+ }
+ fn exact_size_combinations_2(a: Vec<u8>) -> bool {
+ let it = a.iter().tuple_combinations::<(_, _)>();
+ exact_size_for_this(it.clone()) && it.count() == binomial(a.len(), 2)
+ }
+ fn exact_size_combinations_3(mut a: Vec<u8>) -> bool {
+ a.truncate(15);
+ let it = a.iter().tuple_combinations::<(_, _, _)>();
+ exact_size_for_this(it.clone()) && it.count() == binomial(a.len(), 3)
+ }
+}
+
+fn binomial(n: usize, k: usize) -> usize {
+ if k > n {
+ 0
+ } else {
+ (n - k + 1..=n).product::<usize>() / (1..=k).product::<usize>()
+ }
+}
+
+quickcheck! {
+ fn equal_combinations(it: Iter<i16>) -> bool {
+ let values = it.clone().collect_vec();
+ let mut cmb = it.tuple_combinations();
+ for i in 0..values.len() {
+ for j in i+1..values.len() {
+ let pair = (values[i], values[j]);
+ if pair != cmb.next().unwrap() {
+ return false;
+ }
+ }
+ }
+ cmb.next().is_none()
+ }
+}
+
+quickcheck! {
+ fn size_pad_tail(it: Iter<i8>, pad: u8) -> bool {
+ correct_size_hint(it.clone().pad_using(pad as usize, |_| 0)) &&
+ correct_size_hint(it.dropping(1).rev().pad_using(pad as usize, |_| 0))
+ }
+}
+
+quickcheck! {
+ fn size_pad_tail2(it: Iter<i8, Exact>, pad: u8) -> bool {
+ exact_size(it.pad_using(pad as usize, |_| 0))
+ }
+}
+
+quickcheck! {
+ fn size_powerset(it: Iter<u8, Exact>) -> bool {
+ // Powerset cardinality gets large very quickly, limit input to keep test fast.
+ correct_size_hint(it.take(12).powerset())
+ }
+}
+
+quickcheck! {
+ fn size_duplicates(it: Iter<i8>) -> bool {
+ correct_size_hint(it.duplicates())
+ }
+}
+
+quickcheck! {
+ fn size_unique(it: Iter<i8>) -> bool {
+ correct_size_hint(it.unique())
+ }
+
+ fn count_unique(it: Vec<i8>, take_first: u8) -> () {
+ let answer = {
+ let mut v = it.clone();
+ v.sort(); v.dedup();
+ v.len()
+ };
+ let mut iter = cloned(&it).unique();
+ let first_count = (&mut iter).take(take_first as usize).count();
+ let rest_count = iter.count();
+ assert_eq!(answer, first_count + rest_count);
+ }
+}
+
+quickcheck! {
+ fn fuzz_chunk_by_lazy_1(it: Iter<u8>) -> bool {
+ let jt = it.clone();
+ let chunks = it.chunk_by(|k| *k);
+ itertools::equal(jt, chunks.into_iter().flat_map(|(_, x)| x))
+ }
+}
+
+quickcheck! {
+ fn fuzz_chunk_by_lazy_2(data: Vec<u8>) -> bool {
+ let chunks = data.iter().chunk_by(|k| *k / 10);
+ let res = itertools::equal(data.iter(), chunks.into_iter().flat_map(|(_, x)| x));
+ res
+ }
+}
+
+quickcheck! {
+ fn fuzz_chunk_by_lazy_3(data: Vec<u8>) -> bool {
+ let grouper = data.iter().chunk_by(|k| *k / 10);
+ let chunks = grouper.into_iter().collect_vec();
+ let res = itertools::equal(data.iter(), chunks.into_iter().flat_map(|(_, x)| x));
+ res
+ }
+}
+
+quickcheck! {
+ fn fuzz_chunk_by_lazy_duo(data: Vec<u8>, order: Vec<(bool, bool)>) -> bool {
+ let grouper = data.iter().chunk_by(|k| *k / 3);
+ let mut chunks1 = grouper.into_iter();
+ let mut chunks2 = grouper.into_iter();
+ let mut elts = Vec::<&u8>::new();
+ let mut old_chunks = Vec::new();
+
+ let tup1 = |(_, b)| b;
+ for &(ord, consume_now) in &order {
+ let iter = &mut [&mut chunks1, &mut chunks2][ord as usize];
+ match iter.next() {
+ Some((_, gr)) => if consume_now {
+ for og in old_chunks.drain(..) {
+ elts.extend(og);
+ }
+ elts.extend(gr);
+ } else {
+ old_chunks.push(gr);
+ },
+ None => break,
+ }
+ }
+ for og in old_chunks.drain(..) {
+ elts.extend(og);
+ }
+ for gr in chunks1.map(&tup1) { elts.extend(gr); }
+ for gr in chunks2.map(&tup1) { elts.extend(gr); }
+ itertools::assert_equal(&data, elts);
+ true
+ }
+}
+
+quickcheck! {
+ fn chunk_clone_equal(a: Vec<u8>, size: u8) -> () {
+ let mut size = size;
+ if size == 0 {
+ size += 1;
+ }
+ let it = a.chunks(size as usize);
+ itertools::assert_equal(it.clone(), it);
+ }
+}
+
+quickcheck! {
+ fn equal_chunks_lazy(a: Vec<u8>, size: u8) -> bool {
+ let mut size = size;
+ if size == 0 {
+ size += 1;
+ }
+ let chunks = a.iter().chunks(size as usize);
+ let it = a.chunks(size as usize);
+ for (a, b) in chunks.into_iter().zip(it) {
+ if !itertools::equal(a, b) {
+ return false;
+ }
+ }
+ true
+ }
+}
+
+// tuple iterators
+quickcheck! {
+ fn equal_circular_tuple_windows_1(a: Vec<u8>) -> bool {
+ let x = a.iter().map(|e| (e,) );
+ let y = a.iter().circular_tuple_windows::<(_,)>();
+ itertools::assert_equal(x,y);
+ true
+ }
+
+ fn equal_circular_tuple_windows_2(a: Vec<u8>) -> bool {
+ let x = (0..a.len()).map(|start_idx| (
+ &a[start_idx],
+ &a[(start_idx + 1) % a.len()],
+ ));
+ let y = a.iter().circular_tuple_windows::<(_, _)>();
+ itertools::assert_equal(x,y);
+ true
+ }
+
+ fn equal_circular_tuple_windows_3(a: Vec<u8>) -> bool {
+ let x = (0..a.len()).map(|start_idx| (
+ &a[start_idx],
+ &a[(start_idx + 1) % a.len()],
+ &a[(start_idx + 2) % a.len()],
+ ));
+ let y = a.iter().circular_tuple_windows::<(_, _, _)>();
+ itertools::assert_equal(x,y);
+ true
+ }
+
+ fn equal_circular_tuple_windows_4(a: Vec<u8>) -> bool {
+ let x = (0..a.len()).map(|start_idx| (
+ &a[start_idx],
+ &a[(start_idx + 1) % a.len()],
+ &a[(start_idx + 2) % a.len()],
+ &a[(start_idx + 3) % a.len()],
+ ));
+ let y = a.iter().circular_tuple_windows::<(_, _, _, _)>();
+ itertools::assert_equal(x,y);
+ true
+ }
+
+ fn equal_cloned_circular_tuple_windows(a: Vec<u8>) -> bool {
+ let x = a.iter().circular_tuple_windows::<(_, _, _, _)>();
+ let y = x.clone();
+ itertools::assert_equal(x,y);
+ true
+ }
+
+ fn equal_cloned_circular_tuple_windows_noninitial(a: Vec<u8>) -> bool {
+ let mut x = a.iter().circular_tuple_windows::<(_, _, _, _)>();
+ let _ = x.next();
+ let y = x.clone();
+ itertools::assert_equal(x,y);
+ true
+ }
+
+ fn equal_cloned_circular_tuple_windows_complete(a: Vec<u8>) -> bool {
+ let mut x = a.iter().circular_tuple_windows::<(_, _, _, _)>();
+ for _ in x.by_ref() {}
+ let y = x.clone();
+ itertools::assert_equal(x,y);
+ true
+ }
+
+ fn circular_tuple_windows_exact_size(a: Vec<u8>) -> bool {
+ exact_size(a.iter().circular_tuple_windows::<(_, _, _, _)>())
+ }
+
+ fn equal_tuple_windows_1(a: Vec<u8>) -> bool {
+ let x = a.windows(1).map(|s| (&s[0], ));
+ let y = a.iter().tuple_windows::<(_,)>();
+ itertools::equal(x, y)
+ }
+
+ fn equal_tuple_windows_2(a: Vec<u8>) -> bool {
+ let x = a.windows(2).map(|s| (&s[0], &s[1]));
+ let y = a.iter().tuple_windows::<(_, _)>();
+ itertools::equal(x, y)
+ }
+
+ fn equal_tuple_windows_3(a: Vec<u8>) -> bool {
+ let x = a.windows(3).map(|s| (&s[0], &s[1], &s[2]));
+ let y = a.iter().tuple_windows::<(_, _, _)>();
+ itertools::equal(x, y)
+ }
+
+ fn equal_tuple_windows_4(a: Vec<u8>) -> bool {
+ let x = a.windows(4).map(|s| (&s[0], &s[1], &s[2], &s[3]));
+ let y = a.iter().tuple_windows::<(_, _, _, _)>();
+ itertools::equal(x, y)
+ }
+
+ fn tuple_windows_exact_size_1(a: Vec<u8>) -> bool {
+ exact_size(a.iter().tuple_windows::<(_,)>())
+ }
+
+ fn tuple_windows_exact_size_4(a: Vec<u8>) -> bool {
+ exact_size(a.iter().tuple_windows::<(_, _, _, _)>())
+ }
+
+ fn equal_tuples_1(a: Vec<u8>) -> bool {
+ let x = a.chunks(1).map(|s| (&s[0], ));
+ let y = a.iter().tuples::<(_,)>();
+ itertools::equal(x, y)
+ }
+
+ fn equal_tuples_2(a: Vec<u8>) -> bool {
+ let x = a.chunks(2).filter(|s| s.len() == 2).map(|s| (&s[0], &s[1]));
+ let y = a.iter().tuples::<(_, _)>();
+ itertools::equal(x, y)
+ }
+
+ fn equal_tuples_3(a: Vec<u8>) -> bool {
+ let x = a.chunks(3).filter(|s| s.len() == 3).map(|s| (&s[0], &s[1], &s[2]));
+ let y = a.iter().tuples::<(_, _, _)>();
+ itertools::equal(x, y)
+ }
+
+ fn equal_tuples_4(a: Vec<u8>) -> bool {
+ let x = a.chunks(4).filter(|s| s.len() == 4).map(|s| (&s[0], &s[1], &s[2], &s[3]));
+ let y = a.iter().tuples::<(_, _, _, _)>();
+ itertools::equal(x, y)
+ }
+
+ fn exact_tuple_buffer(a: Vec<u8>) -> bool {
+ let mut iter = a.iter().tuples::<(_, _, _, _)>();
+ (&mut iter).last();
+ let buffer = iter.into_buffer();
+ assert_eq!(buffer.len(), a.len() % 4);
+ exact_size(buffer)
+ }
+
+ fn tuples_size_hint_inexact(a: Iter<u8>) -> bool {
+ correct_size_hint(a.clone().tuples::<(_,)>())
+ && correct_size_hint(a.clone().tuples::<(_, _)>())
+ && correct_size_hint(a.tuples::<(_, _, _, _)>())
+ }
+
+ fn tuples_size_hint_exact(a: Iter<u8, Exact>) -> bool {
+ exact_size(a.clone().tuples::<(_,)>())
+ && exact_size(a.clone().tuples::<(_, _)>())
+ && exact_size(a.tuples::<(_, _, _, _)>())
+ }
+}
+
+// with_position
+quickcheck! {
+ fn with_position_exact_size_1(a: Vec<u8>) -> bool {
+ exact_size_for_this(a.iter().with_position())
+ }
+ fn with_position_exact_size_2(a: Iter<u8, Exact>) -> bool {
+ exact_size_for_this(a.with_position())
+ }
+}
+
+quickcheck! {
+ fn correct_group_map_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo }; // Avoid `% 0`
+ let count = a.len();
+ let lookup = a.into_iter().map(|i| (i % modulo, i)).into_group_map();
+
+ assert_eq!(lookup.values().flat_map(|vals| vals.iter()).count(), count);
+
+ for (&key, vals) in lookup.iter() {
+ assert!(vals.iter().all(|&val| val % modulo == key));
+ }
+ }
+}
+
+/// A peculiar type: Equality compares both tuple items, but ordering only the
+/// first item. This is so we can check the stability property easily.
+#[derive(Clone, Debug, PartialEq, Eq)]
+struct Val(u32, u32);
+
+impl PartialOrd<Self> for Val {
+ fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
+ Some(self.cmp(other))
+ }
+}
+
+impl Ord for Val {
+ fn cmp(&self, other: &Self) -> Ordering {
+ self.0.cmp(&other.0)
+ }
+}
+
+impl qc::Arbitrary for Val {
+ fn arbitrary<G: qc::Gen>(g: &mut G) -> Self {
+ let (x, y) = <(u32, u32)>::arbitrary(g);
+ Self(x, y)
+ }
+ fn shrink(&self) -> Box<dyn Iterator<Item = Self>> {
+ Box::new((self.0, self.1).shrink().map(|(x, y)| Self(x, y)))
+ }
+}
+
+quickcheck! {
+ fn minmax(a: Vec<Val>) -> bool {
+ use itertools::MinMaxResult;
+
+
+ let minmax = a.iter().minmax();
+ let expected = match a.len() {
+ 0 => MinMaxResult::NoElements,
+ 1 => MinMaxResult::OneElement(&a[0]),
+ _ => MinMaxResult::MinMax(a.iter().min().unwrap(),
+ a.iter().max().unwrap()),
+ };
+ minmax == expected
+ }
+}
+
+quickcheck! {
+ fn minmax_f64(a: Vec<f64>) -> TestResult {
+ use itertools::MinMaxResult;
+
+ if a.iter().any(|x| x.is_nan()) {
+ return TestResult::discard();
+ }
+
+ let min = cloned(&a).fold1(f64::min);
+ let max = cloned(&a).fold1(f64::max);
+
+ let minmax = cloned(&a).minmax();
+ let expected = match a.len() {
+ 0 => MinMaxResult::NoElements,
+ 1 => MinMaxResult::OneElement(min.unwrap()),
+ _ => MinMaxResult::MinMax(min.unwrap(), max.unwrap()),
+ };
+ TestResult::from_bool(minmax == expected)
+ }
+}
+
+quickcheck! {
+ fn tree_reduce_f64(mut a: Vec<f64>) -> TestResult {
+ fn collapse_adjacent<F>(x: Vec<f64>, mut f: F) -> Vec<f64>
+ where F: FnMut(f64, f64) -> f64
+ {
+ let mut out = Vec::new();
+ for i in (0..x.len()).step_by(2) {
+ if i == x.len()-1 {
+ out.push(x[i])
+ } else {
+ out.push(f(x[i], x[i+1]));
+ }
+ }
+ out
+ }
+
+ if a.iter().any(|x| x.is_nan()) {
+ return TestResult::discard();
+ }
+
+ let actual = a.iter().cloned().tree_reduce(f64::atan2);
+
+ while a.len() > 1 {
+ a = collapse_adjacent(a, f64::atan2);
+ }
+ let expected = a.pop();
+
+ TestResult::from_bool(actual == expected)
+ }
+}
+
+quickcheck! {
+ fn exactly_one_i32(a: Vec<i32>) -> TestResult {
+ let ret = a.iter().cloned().exactly_one();
+ match a.len() {
+ 1 => TestResult::from_bool(ret.unwrap() == a[0]),
+ _ => TestResult::from_bool(ret.unwrap_err().eq(a.iter().cloned())),
+ }
+ }
+}
+
+quickcheck! {
+ fn at_most_one_i32(a: Vec<i32>) -> TestResult {
+ let ret = a.iter().cloned().at_most_one();
+ match a.len() {
+ 0 => TestResult::from_bool(ret.unwrap().is_none()),
+ 1 => TestResult::from_bool(ret.unwrap() == Some(a[0])),
+ _ => TestResult::from_bool(ret.unwrap_err().eq(a.iter().cloned())),
+ }
+ }
+}
+
+quickcheck! {
+ fn consistent_grouping_map_with_by(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo }; // Avoid `% 0`
+
+ let lookup_grouping_map = a.iter().copied().map(|i| (i % modulo, i)).into_grouping_map().collect::<Vec<_>>();
+ let lookup_grouping_map_by = a.iter().copied().into_grouping_map_by(|i| i % modulo).collect::<Vec<_>>();
+
+ assert_eq!(lookup_grouping_map, lookup_grouping_map_by);
+ }
+
+ fn correct_grouping_map_by_aggregate_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo < 2 { 2 } else { modulo } as u64; // Avoid `% 0`
+ let lookup = a.iter()
+ .map(|&b| b as u64) // Avoid overflows
+ .into_grouping_map_by(|i| i % modulo)
+ .aggregate(|acc, &key, val| {
+ assert!(val % modulo == key);
+ if val % (modulo - 1) == 0 {
+ None
+ } else {
+ Some(acc.unwrap_or(0) + val)
+ }
+ });
+
+ let group_map_lookup = a.iter()
+ .map(|&b| b as u64)
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .filter_map(|(key, vals)| {
+ vals.into_iter().fold(None, |acc, val| {
+ if val % (modulo - 1) == 0 {
+ None
+ } else {
+ Some(acc.unwrap_or(0) + val)
+ }
+ }).map(|new_val| (key, new_val))
+ })
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for m in 0..modulo {
+ assert_eq!(
+ lookup.get(&m).copied(),
+ a.iter()
+ .map(|&b| b as u64)
+ .filter(|&val| val % modulo == m)
+ .fold(None, |acc, val| {
+ if val % (modulo - 1) == 0 {
+ None
+ } else {
+ Some(acc.unwrap_or(0) + val)
+ }
+ })
+ );
+ }
+ }
+
+ fn correct_grouping_map_by_fold_with_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ #[derive(Debug, Default, PartialEq)]
+ struct Accumulator {
+ acc: u64,
+ }
+
+ let modulo = if modulo == 0 { 1 } else { modulo } as u64; // Avoid `% 0`
+ let lookup = a.iter().map(|&b| b as u64) // Avoid overflows
+ .into_grouping_map_by(|i| i % modulo)
+ .fold_with(|_key, _val| Default::default(), |Accumulator { acc }, &key, val| {
+ assert!(val % modulo == key);
+ let acc = acc + val;
+ Accumulator { acc }
+ });
+
+ let group_map_lookup = a.iter()
+ .map(|&b| b as u64)
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .map(|(key, vals)| (key, vals.into_iter().sum())).map(|(key, acc)| (key,Accumulator { acc }))
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for (&key, &Accumulator { acc: sum }) in lookup.iter() {
+ assert_eq!(sum, a.iter().map(|&b| b as u64).filter(|&val| val % modulo == key).sum::<u64>());
+ }
+ }
+
+ fn correct_grouping_map_by_fold_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo } as u64; // Avoid `% 0`
+ let lookup = a.iter().map(|&b| b as u64) // Avoid overflows
+ .into_grouping_map_by(|i| i % modulo)
+ .fold(0u64, |acc, &key, val| {
+ assert!(val % modulo == key);
+ acc + val
+ });
+
+ let group_map_lookup = a.iter()
+ .map(|&b| b as u64)
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .map(|(key, vals)| (key, vals.into_iter().sum()))
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for (&key, &sum) in lookup.iter() {
+ assert_eq!(sum, a.iter().map(|&b| b as u64).filter(|&val| val % modulo == key).sum::<u64>());
+ }
+ }
+
+ fn correct_grouping_map_by_reduce_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo } as u64; // Avoid `% 0`
+ let lookup = a.iter().map(|&b| b as u64) // Avoid overflows
+ .into_grouping_map_by(|i| i % modulo)
+ .reduce(|acc, &key, val| {
+ assert!(val % modulo == key);
+ acc + val
+ });
+
+ let group_map_lookup = a.iter()
+ .map(|&b| b as u64)
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .map(|(key, vals)| (key, vals.into_iter().reduce(|acc, val| acc + val).unwrap()))
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for (&key, &sum) in lookup.iter() {
+ assert_eq!(sum, a.iter().map(|&b| b as u64).filter(|&val| val % modulo == key).sum::<u64>());
+ }
+ }
+
+ fn correct_grouping_map_by_collect_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo }; // Avoid `% 0`
+ let lookup_grouping_map = a.iter().copied().into_grouping_map_by(|i| i % modulo).collect::<Vec<_>>();
+ let lookup_group_map = a.iter().copied().map(|i| (i % modulo, i)).into_group_map();
+
+ assert_eq!(lookup_grouping_map, lookup_group_map);
+ }
+
+ fn correct_grouping_map_by_max_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo }; // Avoid `% 0`
+ let lookup = a.iter().copied().into_grouping_map_by(|i| i % modulo).max();
+
+ let group_map_lookup = a.iter().copied()
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .map(|(key, vals)| (key, vals.into_iter().max().unwrap()))
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for (&key, &max) in lookup.iter() {
+ assert_eq!(Some(max), a.iter().copied().filter(|&val| val % modulo == key).max());
+ }
+ }
+
+ fn correct_grouping_map_by_max_by_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo }; // Avoid `% 0`
+ let lookup = a.iter().copied().into_grouping_map_by(|i| i % modulo).max_by(|_, v1, v2| v1.cmp(v2));
+
+ let group_map_lookup = a.iter().copied()
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .map(|(key, vals)| (key, vals.into_iter().max_by(|v1, v2| v1.cmp(v2)).unwrap()))
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for (&key, &max) in lookup.iter() {
+ assert_eq!(Some(max), a.iter().copied().filter(|&val| val % modulo == key).max_by(|v1, v2| v1.cmp(v2)));
+ }
+ }
+
+ fn correct_grouping_map_by_max_by_key_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo }; // Avoid `% 0`
+ let lookup = a.iter().copied().into_grouping_map_by(|i| i % modulo).max_by_key(|_, &val| val);
+
+ let group_map_lookup = a.iter().copied()
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .map(|(key, vals)| (key, vals.into_iter().max_by_key(|&val| val).unwrap()))
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for (&key, &max) in lookup.iter() {
+ assert_eq!(Some(max), a.iter().copied().filter(|&val| val % modulo == key).max_by_key(|&val| val));
+ }
+ }
+
+ fn correct_grouping_map_by_min_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo }; // Avoid `% 0`
+ let lookup = a.iter().copied().into_grouping_map_by(|i| i % modulo).min();
+
+ let group_map_lookup = a.iter().copied()
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .map(|(key, vals)| (key, vals.into_iter().min().unwrap()))
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for (&key, &min) in lookup.iter() {
+ assert_eq!(Some(min), a.iter().copied().filter(|&val| val % modulo == key).min());
+ }
+ }
+
+ fn correct_grouping_map_by_min_by_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo }; // Avoid `% 0`
+ let lookup = a.iter().copied().into_grouping_map_by(|i| i % modulo).min_by(|_, v1, v2| v1.cmp(v2));
+
+ let group_map_lookup = a.iter().copied()
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .map(|(key, vals)| (key, vals.into_iter().min_by(|v1, v2| v1.cmp(v2)).unwrap()))
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for (&key, &min) in lookup.iter() {
+ assert_eq!(Some(min), a.iter().copied().filter(|&val| val % modulo == key).min_by(|v1, v2| v1.cmp(v2)));
+ }
+ }
+
+ fn correct_grouping_map_by_min_by_key_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo }; // Avoid `% 0`
+ let lookup = a.iter().copied().into_grouping_map_by(|i| i % modulo).min_by_key(|_, &val| val);
+
+ let group_map_lookup = a.iter().copied()
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .map(|(key, vals)| (key, vals.into_iter().min_by_key(|&val| val).unwrap()))
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for (&key, &min) in lookup.iter() {
+ assert_eq!(Some(min), a.iter().copied().filter(|&val| val % modulo == key).min_by_key(|&val| val));
+ }
+ }
+
+ fn correct_grouping_map_by_minmax_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo }; // Avoid `% 0`
+ let lookup = a.iter().copied().into_grouping_map_by(|i| i % modulo).minmax();
+
+ let group_map_lookup = a.iter().copied()
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .map(|(key, vals)| (key, vals.into_iter().minmax()))
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for (&key, &minmax) in lookup.iter() {
+ assert_eq!(minmax, a.iter().copied().filter(|&val| val % modulo == key).minmax());
+ }
+ }
+
+ fn correct_grouping_map_by_minmax_by_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo }; // Avoid `% 0`
+ let lookup = a.iter().copied().into_grouping_map_by(|i| i % modulo).minmax_by(|_, v1, v2| v1.cmp(v2));
+
+ let group_map_lookup = a.iter().copied()
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .map(|(key, vals)| (key, vals.into_iter().minmax_by(|v1, v2| v1.cmp(v2))))
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for (&key, &minmax) in lookup.iter() {
+ assert_eq!(minmax, a.iter().copied().filter(|&val| val % modulo == key).minmax_by(|v1, v2| v1.cmp(v2)));
+ }
+ }
+
+ fn correct_grouping_map_by_minmax_by_key_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo }; // Avoid `% 0`
+ let lookup = a.iter().copied().into_grouping_map_by(|i| i % modulo).minmax_by_key(|_, &val| val);
+
+ let group_map_lookup = a.iter().copied()
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .map(|(key, vals)| (key, vals.into_iter().minmax_by_key(|&val| val)))
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for (&key, &minmax) in lookup.iter() {
+ assert_eq!(minmax, a.iter().copied().filter(|&val| val % modulo == key).minmax_by_key(|&val| val));
+ }
+ }
+
+ fn correct_grouping_map_by_sum_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = if modulo == 0 { 1 } else { modulo } as u64; // Avoid `% 0`
+ let lookup = a.iter().map(|&b| b as u64) // Avoid overflows
+ .into_grouping_map_by(|i| i % modulo)
+ .sum();
+
+ let group_map_lookup = a.iter().map(|&b| b as u64)
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .map(|(key, vals)| (key, vals.into_iter().sum()))
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for (&key, &sum) in lookup.iter() {
+ assert_eq!(sum, a.iter().map(|&b| b as u64).filter(|&val| val % modulo == key).sum::<u64>());
+ }
+ }
+
+ fn correct_grouping_map_by_product_modulo_key(a: Vec<u8>, modulo: u8) -> () {
+ let modulo = Wrapping(if modulo == 0 { 1 } else { modulo } as u64); // Avoid `% 0`
+ let lookup = a.iter().map(|&b| Wrapping(b as u64)) // Avoid overflows
+ .into_grouping_map_by(|i| i % modulo)
+ .product();
+
+ let group_map_lookup = a.iter().map(|&b| Wrapping(b as u64))
+ .map(|i| (i % modulo, i))
+ .into_group_map()
+ .into_iter()
+ .map(|(key, vals)| (key, vals.into_iter().product::<Wrapping<u64>>()))
+ .collect::<HashMap<_,_>>();
+ assert_eq!(lookup, group_map_lookup);
+
+ for (&key, &prod) in lookup.iter() {
+ assert_eq!(
+ prod,
+ a.iter()
+ .map(|&b| Wrapping(b as u64))
+ .filter(|&val| val % modulo == key)
+ .product::<Wrapping<u64>>()
+ );
+ }
+ }
+
+ // This should check that if multiple elements are equally minimum or maximum
+ // then `max`, `min` and `minmax` pick the first minimum and the last maximum.
+ // This is to be consistent with `std::iter::max` and `std::iter::min`.
+ fn correct_grouping_map_by_min_max_minmax_order_modulo_key() -> () {
+ use itertools::MinMaxResult;
+
+ let lookup = (0..=10)
+ .into_grouping_map_by(|_| 0)
+ .max_by(|_, _, _| Ordering::Equal);
+
+ assert_eq!(lookup[&0], 10);
+
+ let lookup = (0..=10)
+ .into_grouping_map_by(|_| 0)
+ .min_by(|_, _, _| Ordering::Equal);
+
+ assert_eq!(lookup[&0], 0);
+
+ let lookup = (0..=10)
+ .into_grouping_map_by(|_| 0)
+ .minmax_by(|_, _, _| Ordering::Equal);
+
+ assert_eq!(lookup[&0], MinMaxResult::MinMax(0, 10));
+ }
+}
+
+quickcheck! {
+ fn counts(nums: Vec<isize>) -> TestResult {
+ let counts = nums.iter().counts();
+ for (&item, &count) in counts.iter() {
+ #[allow(clippy::absurd_extreme_comparisons)]
+ if count <= 0 {
+ return TestResult::failed();
+ }
+ if count != nums.iter().filter(|&x| x == item).count() {
+ return TestResult::failed();
+ }
+ }
+ for item in nums.iter() {
+ if !counts.contains_key(item) {
+ return TestResult::failed();
+ }
+ }
+ TestResult::passed()
+ }
+}
+
+quickcheck! {
+ fn test_double_ended_zip_2(a: Vec<u8>, b: Vec<u8>) -> TestResult {
+ let mut x =
+ multizip((a.clone().into_iter(), b.clone().into_iter()))
+ .collect_vec();
+ x.reverse();
+
+ let y =
+ multizip((a.into_iter(), b.into_iter()))
+ .rfold(Vec::new(), |mut vec, e| { vec.push(e); vec });
+
+ TestResult::from_bool(itertools::equal(x, y))
+ }
+
+ fn test_double_ended_zip_3(a: Vec<u8>, b: Vec<u8>, c: Vec<u8>) -> TestResult {
+ let mut x =
+ multizip((a.clone().into_iter(), b.clone().into_iter(), c.clone().into_iter()))
+ .collect_vec();
+ x.reverse();
+
+ let y =
+ multizip((a.into_iter(), b.into_iter(), c.into_iter()))
+ .rfold(Vec::new(), |mut vec, e| { vec.push(e); vec });
+
+ TestResult::from_bool(itertools::equal(x, y))
+ }
+}
+
+fn is_fused<I: Iterator>(mut it: I) -> bool {
+ for _ in it.by_ref() {}
+ for _ in 0..10 {
+ if it.next().is_some() {
+ return false;
+ }
+ }
+ true
+}
+
+quickcheck! {
+ fn fused_combination(a: Iter<i16>) -> bool
+ {
+ is_fused(a.clone().combinations(1)) &&
+ is_fused(a.combinations(3))
+ }
+
+ fn fused_combination_with_replacement(a: Iter<i16>) -> bool
+ {
+ is_fused(a.clone().combinations_with_replacement(1)) &&
+ is_fused(a.combinations_with_replacement(3))
+ }
+
+ fn fused_tuple_combination(a: Iter<i16>) -> bool
+ {
+ is_fused(a.clone().fuse().tuple_combinations::<(_,)>()) &&
+ is_fused(a.fuse().tuple_combinations::<(_,_,_)>())
+ }
+
+ fn fused_unique(a: Iter<i16>) -> bool
+ {
+ is_fused(a.fuse().unique())
+ }
+
+ fn fused_unique_by(a: Iter<i16>) -> bool
+ {
+ is_fused(a.fuse().unique_by(|x| x % 100))
+ }
+
+ fn fused_interleave_shortest(a: Iter<i16>, b: Iter<i16>) -> bool
+ {
+ !is_fused(a.clone().interleave_shortest(b.clone())) &&
+ is_fused(a.fuse().interleave_shortest(b.fuse()))
+ }
+
+ fn fused_product(a: Iter<i16>, b: Iter<i16>) -> bool
+ {
+ is_fused(a.fuse().cartesian_product(b.fuse()))
+ }
+
+ fn fused_merge(a: Iter<i16>, b: Iter<i16>) -> bool
+ {
+ is_fused(a.fuse().merge(b.fuse()))
+ }
+
+ fn fused_filter_ok(a: Iter<i16>) -> bool
+ {
+ is_fused(a.map(|x| if x % 2 == 0 {Ok(x)} else {Err(x)} )
+ .filter_ok(|x| x % 3 == 0)
+ .fuse())
+ }
+
+ fn fused_filter_map_ok(a: Iter<i16>) -> bool
+ {
+ is_fused(a.map(|x| if x % 2 == 0 {Ok(x)} else {Err(x)} )
+ .filter_map_ok(|x| if x % 3 == 0 {Some(x / 3)} else {None})
+ .fuse())
+ }
+
+ fn fused_positions(a: Iter<i16>) -> bool
+ {
+ !is_fused(a.clone().positions(|x|x%2==0)) &&
+ is_fused(a.fuse().positions(|x|x%2==0))
+ }
+
+ fn fused_update(a: Iter<i16>) -> bool
+ {
+ !is_fused(a.clone().update(|x|*x+=1)) &&
+ is_fused(a.fuse().update(|x|*x+=1))
+ }
+
+ fn fused_tuple_windows(a: Iter<i16>) -> bool
+ {
+ is_fused(a.fuse().tuple_windows::<(_,_)>())
+ }
+
+ fn fused_pad_using(a: Iter<i16>) -> bool
+ {
+ is_fused(a.fuse().pad_using(100,|_|0))
+ }
+}
+
+quickcheck! {
+ fn min_set_contains_min(a: Vec<(usize, char)>) -> bool {
+ let result_set = a.iter().min_set();
+ if let Some(result_element) = a.iter().min() {
+ result_set.contains(&result_element)
+ } else {
+ result_set.is_empty()
+ }
+ }
+
+ fn min_set_by_contains_min(a: Vec<(usize, char)>) -> bool {
+ let compare = |x: &&(usize, char), y: &&(usize, char)| x.1.cmp(&y.1);
+ let result_set = a.iter().min_set_by(compare);
+ if let Some(result_element) = a.iter().min_by(compare) {
+ result_set.contains(&result_element)
+ } else {
+ result_set.is_empty()
+ }
+ }
+
+ fn min_set_by_key_contains_min(a: Vec<(usize, char)>) -> bool {
+ let key = |x: &&(usize, char)| x.1;
+ let result_set = a.iter().min_set_by_key(&key);
+ if let Some(result_element) = a.iter().min_by_key(&key) {
+ result_set.contains(&result_element)
+ } else {
+ result_set.is_empty()
+ }
+ }
+
+ fn max_set_contains_max(a: Vec<(usize, char)>) -> bool {
+ let result_set = a.iter().max_set();
+ if let Some(result_element) = a.iter().max() {
+ result_set.contains(&result_element)
+ } else {
+ result_set.is_empty()
+ }
+ }
+
+ fn max_set_by_contains_max(a: Vec<(usize, char)>) -> bool {
+ let compare = |x: &&(usize, char), y: &&(usize, char)| x.1.cmp(&y.1);
+ let result_set = a.iter().max_set_by(compare);
+ if let Some(result_element) = a.iter().max_by(compare) {
+ result_set.contains(&result_element)
+ } else {
+ result_set.is_empty()
+ }
+ }
+
+ fn max_set_by_key_contains_max(a: Vec<(usize, char)>) -> bool {
+ let key = |x: &&(usize, char)| x.1;
+ let result_set = a.iter().max_set_by_key(&key);
+ if let Some(result_element) = a.iter().max_by_key(&key) {
+ result_set.contains(&result_element)
+ } else {
+ result_set.is_empty()
+ }
+ }
+
+ fn tail(v: Vec<i32>, n: u8) -> bool {
+ let n = n as usize;
+ let result = &v[v.len().saturating_sub(n)..];
+ itertools::equal(v.iter().tail(n), result)
+ && itertools::equal(v.iter().filter(|_| true).tail(n), result)
+ }
+}
diff --git a/vendor/itertools/tests/specializations.rs b/vendor/itertools/tests/specializations.rs
new file mode 100644
index 00000000..e6694c8e
--- /dev/null
+++ b/vendor/itertools/tests/specializations.rs
@@ -0,0 +1,603 @@
+//! Test specializations of methods with default impls match the behavior of the
+//! default impls.
+//!
+//! **NOTE:** Due to performance limitations, these tests are not run with miri!
+//! They cannot be relied upon to discover soundness issues.
+
+#![cfg(not(miri))]
+#![allow(unstable_name_collisions)]
+
+use itertools::Itertools;
+use quickcheck::Arbitrary;
+use quickcheck::{quickcheck, TestResult};
+use rand::Rng;
+use std::fmt::Debug;
+
+struct Unspecialized<I>(I);
+
+impl<I> Iterator for Unspecialized<I>
+where
+ I: Iterator,
+{
+ type Item = I::Item;
+
+ #[inline(always)]
+ fn next(&mut self) -> Option<Self::Item> {
+ self.0.next()
+ }
+}
+
+impl<I> DoubleEndedIterator for Unspecialized<I>
+where
+ I: DoubleEndedIterator,
+{
+ #[inline(always)]
+ fn next_back(&mut self) -> Option<Self::Item> {
+ self.0.next_back()
+ }
+}
+
+fn test_specializations<I>(it: &I)
+where
+ I::Item: Eq + Debug + Clone,
+ I: Iterator + Clone,
+{
+ macro_rules! check_specialized {
+ ($src:expr, |$it:pat| $closure:expr) => {
+ // Many iterators special-case the first elements, so we test specializations for iterators that have already been advanced.
+ let mut src = $src.clone();
+ for _ in 0..5 {
+ let $it = src.clone();
+ let v1 = $closure;
+ let $it = Unspecialized(src.clone());
+ let v2 = $closure;
+ assert_eq!(v1, v2);
+ src.next();
+ }
+ }
+ }
+ check_specialized!(it, |i| i.count());
+ check_specialized!(it, |i| i.last());
+ check_specialized!(it, |i| i.collect::<Vec<_>>());
+ check_specialized!(it, |i| {
+ let mut parameters_from_fold = vec![];
+ let fold_result = i.fold(vec![], |mut acc, v: I::Item| {
+ parameters_from_fold.push((acc.clone(), v.clone()));
+ acc.push(v);
+ acc
+ });
+ (parameters_from_fold, fold_result)
+ });
+ check_specialized!(it, |mut i| {
+ let mut parameters_from_all = vec![];
+ let first = i.next();
+ let all_result = i.all(|x| {
+ parameters_from_all.push(x.clone());
+ Some(x) == first
+ });
+ (parameters_from_all, all_result)
+ });
+ let size = it.clone().count();
+ for n in 0..size + 2 {
+ check_specialized!(it, |mut i| i.nth(n));
+ }
+ // size_hint is a bit harder to check
+ let mut it_sh = it.clone();
+ for n in 0..size + 2 {
+ let len = it_sh.clone().count();
+ let (min, max) = it_sh.size_hint();
+ assert_eq!(size - n.min(size), len);
+ assert!(min <= len);
+ if let Some(max) = max {
+ assert!(len <= max);
+ }
+ it_sh.next();
+ }
+}
+
+fn test_double_ended_specializations<I>(it: &I)
+where
+ I::Item: Eq + Debug + Clone,
+ I: DoubleEndedIterator + Clone,
+{
+ macro_rules! check_specialized {
+ ($src:expr, |$it:pat| $closure:expr) => {
+ // Many iterators special-case the first elements, so we test specializations for iterators that have already been advanced.
+ let mut src = $src.clone();
+ for step in 0..8 {
+ let $it = src.clone();
+ let v1 = $closure;
+ let $it = Unspecialized(src.clone());
+ let v2 = $closure;
+ assert_eq!(v1, v2);
+ if step % 2 == 0 {
+ src.next();
+ } else {
+ src.next_back();
+ }
+ }
+ }
+ }
+ check_specialized!(it, |i| {
+ let mut parameters_from_rfold = vec![];
+ let rfold_result = i.rfold(vec![], |mut acc, v: I::Item| {
+ parameters_from_rfold.push((acc.clone(), v.clone()));
+ acc.push(v);
+ acc
+ });
+ (parameters_from_rfold, rfold_result)
+ });
+ let size = it.clone().count();
+ for n in 0..size + 2 {
+ check_specialized!(it, |mut i| i.nth_back(n));
+ }
+}
+
+quickcheck! {
+ fn interleave(v: Vec<u8>, w: Vec<u8>) -> () {
+ test_specializations(&v.iter().interleave(w.iter()));
+ }
+
+ fn interleave_shortest(v: Vec<u8>, w: Vec<u8>) -> () {
+ test_specializations(&v.iter().interleave_shortest(w.iter()));
+ }
+
+ fn batching(v: Vec<u8>) -> () {
+ test_specializations(&v.iter().batching(Iterator::next));
+ }
+
+ fn tuple_windows(v: Vec<u8>) -> () {
+ test_specializations(&v.iter().tuple_windows::<(_,)>());
+ test_specializations(&v.iter().tuple_windows::<(_, _)>());
+ test_specializations(&v.iter().tuple_windows::<(_, _, _)>());
+ }
+
+ fn circular_tuple_windows(v: Vec<u8>) -> () {
+ test_specializations(&v.iter().circular_tuple_windows::<(_,)>());
+ test_specializations(&v.iter().circular_tuple_windows::<(_, _)>());
+ test_specializations(&v.iter().circular_tuple_windows::<(_, _, _)>());
+ }
+
+ fn tuples(v: Vec<u8>) -> () {
+ test_specializations(&v.iter().tuples::<(_,)>());
+ test_specializations(&v.iter().tuples::<(_, _)>());
+ test_specializations(&v.iter().tuples::<(_, _, _)>());
+ }
+
+ fn cartesian_product(a: Vec<u8>, b: Vec<u8>) -> TestResult {
+ if a.len() * b.len() > 100 {
+ return TestResult::discard();
+ }
+ test_specializations(&a.iter().cartesian_product(&b));
+ TestResult::passed()
+ }
+
+ fn multi_cartesian_product(a: Vec<u8>, b: Vec<u8>, c: Vec<u8>) -> TestResult {
+ if a.len() * b.len() * c.len() > 100 {
+ return TestResult::discard();
+ }
+ test_specializations(&vec![a, b, c].into_iter().multi_cartesian_product());
+ TestResult::passed()
+ }
+
+ fn coalesce(v: Vec<u8>) -> () {
+ test_specializations(&v.iter().coalesce(|x, y| if x == y { Ok(x) } else { Err((x, y)) }))
+ }
+
+ fn dedup(v: Vec<u8>) -> () {
+ test_specializations(&v.iter().dedup())
+ }
+
+ fn dedup_by(v: Vec<u8>) -> () {
+ test_specializations(&v.iter().dedup_by(PartialOrd::ge))
+ }
+
+ fn dedup_with_count(v: Vec<u8>) -> () {
+ test_specializations(&v.iter().dedup_with_count())
+ }
+
+ fn dedup_by_with_count(v: Vec<u8>) -> () {
+ test_specializations(&v.iter().dedup_by_with_count(PartialOrd::ge))
+ }
+
+ fn duplicates(v: Vec<u8>) -> () {
+ let it = v.iter().duplicates();
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+
+ fn duplicates_by(v: Vec<u8>) -> () {
+ let it = v.iter().duplicates_by(|x| *x % 10);
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+
+ fn unique(v: Vec<u8>) -> () {
+ let it = v.iter().unique();
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+
+ fn unique_by(v: Vec<u8>) -> () {
+ let it = v.iter().unique_by(|x| *x % 50);
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+
+ fn take_while_inclusive(v: Vec<u8>) -> () {
+ test_specializations(&v.iter().copied().take_while_inclusive(|&x| x < 100));
+ }
+
+ fn while_some(v: Vec<u8>) -> () {
+ test_specializations(&v.iter().map(|&x| if x < 100 { Some(2 * x) } else { None }).while_some());
+ }
+
+ fn pad_using(v: Vec<u8>) -> () {
+ use std::convert::TryFrom;
+ let it = v.iter().copied().pad_using(10, |i| u8::try_from(5 * i).unwrap_or(u8::MAX));
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+
+ fn with_position(v: Vec<u8>) -> () {
+ test_specializations(&v.iter().with_position());
+ }
+
+ fn positions(v: Vec<u8>) -> () {
+ let it = v.iter().positions(|x| x % 5 == 0);
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+
+ fn update(v: Vec<u8>) -> () {
+ let it = v.iter().copied().update(|x| *x = x.wrapping_mul(7));
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+
+ fn tuple_combinations(v: Vec<u8>) -> TestResult {
+ if v.len() > 10 {
+ return TestResult::discard();
+ }
+ test_specializations(&v.iter().tuple_combinations::<(_,)>());
+ test_specializations(&v.iter().tuple_combinations::<(_, _)>());
+ test_specializations(&v.iter().tuple_combinations::<(_, _, _)>());
+ TestResult::passed()
+ }
+
+ fn intersperse(v: Vec<u8>) -> () {
+ test_specializations(&v.into_iter().intersperse(0));
+ }
+
+ fn intersperse_with(v: Vec<u8>) -> () {
+ test_specializations(&v.into_iter().intersperse_with(|| 0));
+ }
+
+ fn array_combinations(v: Vec<u8>) -> TestResult {
+ if v.len() > 10 {
+ return TestResult::discard();
+ }
+ test_specializations(&v.iter().array_combinations::<1>());
+ test_specializations(&v.iter().array_combinations::<2>());
+ test_specializations(&v.iter().array_combinations::<3>());
+ TestResult::passed()
+ }
+
+ fn combinations(a: Vec<u8>, n: u8) -> TestResult {
+ if n > 3 || a.len() > 8 {
+ return TestResult::discard();
+ }
+ test_specializations(&a.iter().combinations(n as usize));
+ TestResult::passed()
+ }
+
+ fn combinations_with_replacement(a: Vec<u8>, n: u8) -> TestResult {
+ if n > 3 || a.len() > 7 {
+ return TestResult::discard();
+ }
+ test_specializations(&a.iter().combinations_with_replacement(n as usize));
+ TestResult::passed()
+ }
+
+ fn permutations(a: Vec<u8>, n: u8) -> TestResult {
+ if n > 3 || a.len() > 8 {
+ return TestResult::discard();
+ }
+ test_specializations(&a.iter().permutations(n as usize));
+ TestResult::passed()
+ }
+
+ fn powerset(a: Vec<u8>) -> TestResult {
+ if a.len() > 6 {
+ return TestResult::discard();
+ }
+ test_specializations(&a.iter().powerset());
+ TestResult::passed()
+ }
+
+ fn zip_longest(a: Vec<u8>, b: Vec<u8>) -> () {
+ let it = a.into_iter().zip_longest(b);
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+
+ fn zip_eq(a: Vec<u8>) -> () {
+ test_specializations(&a.iter().zip_eq(a.iter().rev()))
+ }
+
+ fn multizip(a: Vec<u8>) -> () {
+ let it = itertools::multizip((a.iter(), a.iter().rev(), a.iter().take(50)));
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+
+ fn izip(a: Vec<u8>, b: Vec<u8>) -> () {
+ test_specializations(&itertools::izip!(b.iter(), a, b.iter().rev()));
+ }
+
+ fn iproduct(a: Vec<u8>, b: Vec<u8>, c: Vec<u8>) -> TestResult {
+ if a.len() * b.len() * c.len() > 200 {
+ return TestResult::discard();
+ }
+ test_specializations(&itertools::iproduct!(a, b.iter(), c));
+ TestResult::passed()
+ }
+
+ fn repeat_n(element: i8, n: u8) -> () {
+ let it = itertools::repeat_n(element, n as usize);
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+
+ fn exactly_one_error(v: Vec<u8>) -> TestResult {
+ // Use `at_most_one` would be similar.
+ match v.iter().exactly_one() {
+ Ok(_) => TestResult::discard(),
+ Err(it) => {
+ test_specializations(&it);
+ TestResult::passed()
+ }
+ }
+ }
+}
+
+quickcheck! {
+ fn put_back_qc(test_vec: Vec<i32>) -> () {
+ test_specializations(&itertools::put_back(test_vec.iter()));
+ let mut pb = itertools::put_back(test_vec.into_iter());
+ pb.put_back(1);
+ test_specializations(&pb);
+ }
+
+ fn put_back_n(v: Vec<u8>, n: u8) -> () {
+ let mut it = itertools::put_back_n(v);
+ for k in 0..n {
+ it.put_back(k);
+ }
+ test_specializations(&it);
+ }
+
+ fn multipeek(v: Vec<u8>, n: u8) -> () {
+ let mut it = v.into_iter().multipeek();
+ for _ in 0..n {
+ it.peek();
+ }
+ test_specializations(&it);
+ }
+
+ fn peek_nth_with_peek(v: Vec<u8>, n: u8) -> () {
+ let mut it = itertools::peek_nth(v);
+ for _ in 0..n {
+ it.peek();
+ }
+ test_specializations(&it);
+ }
+
+ fn peek_nth_with_peek_nth(v: Vec<u8>, n: u8) -> () {
+ let mut it = itertools::peek_nth(v);
+ it.peek_nth(n as usize);
+ test_specializations(&it);
+ }
+
+ fn peek_nth_with_peek_mut(v: Vec<u8>, n: u8) -> () {
+ let mut it = itertools::peek_nth(v);
+ for _ in 0..n {
+ if let Some(x) = it.peek_mut() {
+ *x = x.wrapping_add(50);
+ }
+ }
+ test_specializations(&it);
+ }
+
+ fn peek_nth_with_peek_nth_mut(v: Vec<u8>, n: u8) -> () {
+ let mut it = itertools::peek_nth(v);
+ if let Some(x) = it.peek_nth_mut(n as usize) {
+ *x = x.wrapping_add(50);
+ }
+ test_specializations(&it);
+ }
+}
+
+quickcheck! {
+ fn merge(a: Vec<u8>, b: Vec<u8>) -> () {
+ test_specializations(&a.into_iter().merge(b))
+ }
+
+ fn merge_by(a: Vec<u8>, b: Vec<u8>) -> () {
+ test_specializations(&a.into_iter().merge_by(b, PartialOrd::ge))
+ }
+
+ fn merge_join_by_ordering(i1: Vec<u8>, i2: Vec<u8>) -> () {
+ test_specializations(&i1.into_iter().merge_join_by(i2, Ord::cmp));
+ }
+
+ fn merge_join_by_bool(i1: Vec<u8>, i2: Vec<u8>) -> () {
+ test_specializations(&i1.into_iter().merge_join_by(i2, PartialOrd::ge));
+ }
+
+ fn kmerge(a: Vec<i8>, b: Vec<i8>, c: Vec<i8>) -> () {
+ test_specializations(&vec![a, b, c]
+ .into_iter()
+ .map(|v| v.into_iter().sorted())
+ .kmerge());
+ }
+
+ fn kmerge_by(a: Vec<i8>, b: Vec<i8>, c: Vec<i8>) -> () {
+ test_specializations(&vec![a, b, c]
+ .into_iter()
+ .map(|v| v.into_iter().sorted_by_key(|a| a.abs()))
+ .kmerge_by(|a, b| a.abs() < b.abs()));
+ }
+}
+
+quickcheck! {
+ fn map_into(v: Vec<u8>) -> () {
+ let it = v.into_iter().map_into::<u32>();
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+
+ fn map_ok(v: Vec<Result<u8, char>>) -> () {
+ let it = v.into_iter().map_ok(|u| u.checked_add(1));
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+
+ fn filter_ok(v: Vec<Result<u8, char>>) -> () {
+ let it = v.into_iter().filter_ok(|&i| i < 20);
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+
+ fn filter_map_ok(v: Vec<Result<u8, char>>) -> () {
+ let it = v.into_iter().filter_map_ok(|i| if i < 20 { Some(i * 2) } else { None });
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+
+ // `SmallIter2<u8>` because `Vec<u8>` is too slow and we get bad coverage from a singleton like Option<u8>
+ fn flatten_ok(v: Vec<Result<SmallIter2<u8>, char>>) -> () {
+ let it = v.into_iter().flatten_ok();
+ test_specializations(&it);
+ test_double_ended_specializations(&it);
+ }
+}
+
+quickcheck! {
+ // TODO Replace this function by a normal call to test_specializations
+ fn process_results(v: Vec<Result<u8, u8>>) -> () {
+ helper(v.iter().copied());
+ helper(v.iter().copied().filter(Result::is_ok));
+
+ fn helper(it: impl DoubleEndedIterator<Item = Result<u8, u8>> + Clone) {
+ macro_rules! check_results_specialized {
+ ($src:expr, |$it:pat| $closure:expr) => {
+ assert_eq!(
+ itertools::process_results($src.clone(), |$it| $closure),
+ itertools::process_results($src.clone(), |i| {
+ let $it = Unspecialized(i);
+ $closure
+ }),
+ )
+ }
+ }
+
+ check_results_specialized!(it, |i| i.count());
+ check_results_specialized!(it, |i| i.last());
+ check_results_specialized!(it, |i| i.collect::<Vec<_>>());
+ check_results_specialized!(it, |i| i.rev().collect::<Vec<_>>());
+ check_results_specialized!(it, |i| {
+ let mut parameters_from_fold = vec![];
+ let fold_result = i.fold(vec![], |mut acc, v| {
+ parameters_from_fold.push((acc.clone(), v));
+ acc.push(v);
+ acc
+ });
+ (parameters_from_fold, fold_result)
+ });
+ check_results_specialized!(it, |i| {
+ let mut parameters_from_rfold = vec![];
+ let rfold_result = i.rfold(vec![], |mut acc, v| {
+ parameters_from_rfold.push((acc.clone(), v));
+ acc.push(v);
+ acc
+ });
+ (parameters_from_rfold, rfold_result)
+ });
+ check_results_specialized!(it, |mut i| {
+ let mut parameters_from_all = vec![];
+ let first = i.next();
+ let all_result = i.all(|x| {
+ parameters_from_all.push(x);
+ Some(x)==first
+ });
+ (parameters_from_all, all_result)
+ });
+ let size = it.clone().count();
+ for n in 0..size + 2 {
+ check_results_specialized!(it, |mut i| i.nth(n));
+ }
+ for n in 0..size + 2 {
+ check_results_specialized!(it, |mut i| i.nth_back(n));
+ }
+ }
+ }
+}
+
+/// Like `VecIntoIter<T>` with maximum 2 elements.
+#[derive(Debug, Clone, Default)]
+enum SmallIter2<T> {
+ #[default]
+ Zero,
+ One(T),
+ Two(T, T),
+}
+
+impl<T: Arbitrary> Arbitrary for SmallIter2<T> {
+ fn arbitrary<G: quickcheck::Gen>(g: &mut G) -> Self {
+ match g.gen_range(0u8, 3) {
+ 0 => Self::Zero,
+ 1 => Self::One(T::arbitrary(g)),
+ 2 => Self::Two(T::arbitrary(g), T::arbitrary(g)),
+ _ => unreachable!(),
+ }
+ }
+ // maybe implement shrink too, maybe not
+}
+
+impl<T> Iterator for SmallIter2<T> {
+ type Item = T;
+
+ fn next(&mut self) -> Option<Self::Item> {
+ match std::mem::take(self) {
+ Self::Zero => None,
+ Self::One(val) => Some(val),
+ Self::Two(val, second) => {
+ *self = Self::One(second);
+ Some(val)
+ }
+ }
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ let len = match self {
+ Self::Zero => 0,
+ Self::One(_) => 1,
+ Self::Two(_, _) => 2,
+ };
+ (len, Some(len))
+ }
+}
+
+impl<T> DoubleEndedIterator for SmallIter2<T> {
+ fn next_back(&mut self) -> Option<Self::Item> {
+ match std::mem::take(self) {
+ Self::Zero => None,
+ Self::One(val) => Some(val),
+ Self::Two(first, val) => {
+ *self = Self::One(first);
+ Some(val)
+ }
+ }
+ }
+}
diff --git a/vendor/itertools/tests/test_core.rs b/vendor/itertools/tests/test_core.rs
new file mode 100644
index 00000000..49361608
--- /dev/null
+++ b/vendor/itertools/tests/test_core.rs
@@ -0,0 +1,399 @@
+//! Licensed under the Apache License, Version 2.0
+//! https://www.apache.org/licenses/LICENSE-2.0 or the MIT license
+//! https://opensource.org/licenses/MIT, at your
+//! option. This file may not be copied, modified, or distributed
+//! except according to those terms.
+#![no_std]
+#![allow(deprecated)]
+
+use crate::it::chain;
+use crate::it::free::put_back;
+use crate::it::interleave;
+use crate::it::intersperse;
+use crate::it::intersperse_with;
+use crate::it::iproduct;
+use crate::it::izip;
+use crate::it::multizip;
+use crate::it::Itertools;
+use core::iter;
+use itertools as it;
+
+#[allow(dead_code)]
+fn get_esi_then_esi<I: ExactSizeIterator + Clone>(it: I) {
+ fn is_esi(_: impl ExactSizeIterator) {}
+ is_esi(it.clone().get(1..4));
+ is_esi(it.clone().get(1..=4));
+ is_esi(it.clone().get(1..));
+ is_esi(it.clone().get(..4));
+ is_esi(it.clone().get(..=4));
+ is_esi(it.get(..));
+}
+
+#[allow(dead_code)]
+fn get_dei_esi_then_dei_esi<I: DoubleEndedIterator + ExactSizeIterator + Clone>(it: I) {
+ fn is_dei_esi(_: impl DoubleEndedIterator + ExactSizeIterator) {}
+ is_dei_esi(it.clone().get(1..4));
+ is_dei_esi(it.clone().get(1..=4));
+ is_dei_esi(it.clone().get(1..));
+ is_dei_esi(it.clone().get(..4));
+ is_dei_esi(it.clone().get(..=4));
+ is_dei_esi(it.get(..));
+}
+
+#[test]
+fn get_1_max() {
+ let mut it = (0..5).get(1..=usize::MAX);
+ assert_eq!(it.next(), Some(1));
+ assert_eq!(it.next_back(), Some(4));
+}
+
+#[test]
+#[should_panic]
+fn get_full_range_inclusive() {
+ let _it = (0..5).get(0..=usize::MAX);
+}
+
+#[test]
+fn product0() {
+ let mut prod = iproduct!();
+ assert_eq!(prod.next(), Some(()));
+ assert!(prod.next().is_none());
+}
+
+#[test]
+fn iproduct1() {
+ let s = "αβ";
+
+ let mut prod = iproduct!(s.chars());
+ assert_eq!(prod.next(), Some(('α',)));
+ assert_eq!(prod.next(), Some(('β',)));
+ assert!(prod.next().is_none());
+}
+
+#[test]
+fn product2() {
+ let s = "αβ";
+
+ let mut prod = iproduct!(s.chars(), 0..2);
+ assert!(prod.next() == Some(('α', 0)));
+ assert!(prod.next() == Some(('α', 1)));
+ assert!(prod.next() == Some(('β', 0)));
+ assert!(prod.next() == Some(('β', 1)));
+ assert!(prod.next().is_none());
+}
+
+#[test]
+fn product_temporary() {
+ for (_x, _y, _z) in iproduct!(
+ [0, 1, 2].iter().cloned(),
+ [0, 1, 2].iter().cloned(),
+ [0, 1, 2].iter().cloned()
+ ) {
+ // ok
+ }
+}
+
+#[test]
+fn izip_macro() {
+ let mut zip = izip!(2..3);
+ assert!(zip.next() == Some(2));
+ assert!(zip.next().is_none());
+
+ let mut zip = izip!(0..3, 0..2, 0..2i8);
+ for i in 0..2 {
+ assert!((i as usize, i, i as i8) == zip.next().unwrap());
+ }
+ assert!(zip.next().is_none());
+
+ let xs: [isize; 0] = [];
+ let mut zip = izip!(0..3, 0..2, 0..2i8, &xs);
+ assert!(zip.next().is_none());
+}
+
+#[test]
+fn izip2() {
+ let _zip1: iter::Zip<_, _> = izip!(1.., 2..);
+ let _zip2: iter::Zip<_, _> = izip!(1.., 2..,);
+}
+
+#[test]
+fn izip3() {
+ let mut zip: iter::Map<iter::Zip<_, _>, _> = izip!(0..3, 0..2, 0..2i8);
+ for i in 0..2 {
+ assert!((i as usize, i, i as i8) == zip.next().unwrap());
+ }
+ assert!(zip.next().is_none());
+}
+
+#[test]
+fn multizip3() {
+ let mut zip = multizip((0..3, 0..2, 0..2i8));
+ for i in 0..2 {
+ assert!((i as usize, i, i as i8) == zip.next().unwrap());
+ }
+ assert!(zip.next().is_none());
+
+ let xs: [isize; 0] = [];
+ let mut zip = multizip((0..3, 0..2, 0..2i8, xs.iter()));
+ assert!(zip.next().is_none());
+
+ for (_, _, _, _, _) in multizip((0..3, 0..2, xs.iter(), &xs, xs.to_vec())) {
+ /* test compiles */
+ }
+}
+
+#[test]
+fn chain_macro() {
+ let mut chain = chain!(2..3);
+ assert!(chain.next() == Some(2));
+ assert!(chain.next().is_none());
+
+ let mut chain = chain!(0..2, 2..3, 3..5i8);
+ for i in 0..5i8 {
+ assert_eq!(Some(i), chain.next());
+ }
+ assert!(chain.next().is_none());
+
+ let mut chain = chain!();
+ assert_eq!(chain.next(), Option::<()>::None);
+}
+
+#[test]
+fn chain2() {
+ let _ = chain!(1.., 2..);
+ let _ = chain!(1.., 2..,);
+}
+
+#[test]
+fn write_to() {
+ let xs = [7, 9, 8];
+ let mut ys = [0; 5];
+ let cnt = ys.iter_mut().set_from(xs.iter().copied());
+ assert!(cnt == xs.len());
+ assert!(ys == [7, 9, 8, 0, 0]);
+
+ let cnt = ys.iter_mut().set_from(0..10);
+ assert!(cnt == ys.len());
+ assert!(ys == [0, 1, 2, 3, 4]);
+}
+
+#[test]
+fn test_interleave() {
+ let xs: [u8; 0] = [];
+ let ys = [7u8, 9, 8, 10];
+ let zs = [2u8, 77];
+ let it = interleave(xs.iter(), ys.iter());
+ it::assert_equal(it, ys.iter());
+
+ let rs = [7u8, 2, 9, 77, 8, 10];
+ let it = interleave(ys.iter(), zs.iter());
+ it::assert_equal(it, rs.iter());
+}
+
+#[test]
+fn test_intersperse() {
+ let xs = [1u8, 2, 3];
+ let ys = [1u8, 0, 2, 0, 3];
+ let it = intersperse(&xs, &0);
+ it::assert_equal(it, ys.iter());
+}
+
+#[test]
+fn test_intersperse_with() {
+ let xs = [1u8, 2, 3];
+ let ys = [1u8, 10, 2, 10, 3];
+ let i = 10;
+ let it = intersperse_with(&xs, || &i);
+ it::assert_equal(it, ys.iter());
+}
+
+#[test]
+fn dropping() {
+ let xs = [1, 2, 3];
+ let mut it = xs.iter().dropping(2);
+ assert_eq!(it.next(), Some(&3));
+ assert!(it.next().is_none());
+ let mut it = xs.iter().dropping(5);
+ assert!(it.next().is_none());
+}
+
+#[test]
+fn batching() {
+ let xs = [0, 1, 2, 1, 3];
+ let ys = [(0, 1), (2, 1)];
+
+ // An iterator that gathers elements up in pairs
+ let pit = xs
+ .iter()
+ .cloned()
+ .batching(|it| it.next().and_then(|x| it.next().map(|y| (x, y))));
+ it::assert_equal(pit, ys.iter().cloned());
+}
+
+#[test]
+fn test_put_back() {
+ let xs = [0, 1, 1, 1, 2, 1, 3, 3];
+ let mut pb = put_back(xs.iter().cloned());
+ pb.next();
+ pb.put_back(1);
+ pb.put_back(0);
+ it::assert_equal(pb, xs.iter().cloned());
+}
+
+#[test]
+fn merge() {
+ it::assert_equal((0..10).step_by(2).merge((1..10).step_by(2)), 0..10);
+}
+
+#[test]
+fn repeatn() {
+ let s = "α";
+ let mut it = it::repeat_n(s, 3);
+ assert_eq!(it.len(), 3);
+ assert_eq!(it.next(), Some(s));
+ assert_eq!(it.next(), Some(s));
+ assert_eq!(it.next(), Some(s));
+ assert_eq!(it.next(), None);
+ assert_eq!(it.next(), None);
+}
+
+#[test]
+fn count_clones() {
+ // Check that RepeatN only clones N - 1 times.
+
+ use core::cell::Cell;
+ #[derive(PartialEq, Debug)]
+ struct Foo {
+ n: Cell<usize>,
+ }
+
+ impl Clone for Foo {
+ fn clone(&self) -> Self {
+ let n = self.n.get();
+ self.n.set(n + 1);
+ Self {
+ n: Cell::new(n + 1),
+ }
+ }
+ }
+
+ for n in 0..10 {
+ let f = Foo { n: Cell::new(0) };
+ let it = it::repeat_n(f, n);
+ // drain it
+ let last = it.last();
+ if n == 0 {
+ assert_eq!(last, None);
+ } else {
+ assert_eq!(
+ last,
+ Some(Foo {
+ n: Cell::new(n - 1)
+ })
+ );
+ }
+ }
+}
+
+#[test]
+fn part() {
+ let mut data = [7, 1, 1, 9, 1, 1, 3];
+ let i = it::partition(&mut data, |elt| *elt >= 3);
+ assert_eq!(i, 3);
+ assert_eq!(data, [7, 3, 9, 1, 1, 1, 1]);
+
+ let i = it::partition(&mut data, |elt| *elt == 1);
+ assert_eq!(i, 4);
+ assert_eq!(data, [1, 1, 1, 1, 9, 3, 7]);
+
+ let mut data = [1, 2, 3, 4, 5, 6, 7, 8, 9];
+ let i = it::partition(&mut data, |elt| *elt % 3 == 0);
+ assert_eq!(i, 3);
+ assert_eq!(data, [9, 6, 3, 4, 5, 2, 7, 8, 1]);
+}
+
+#[test]
+fn tree_reduce() {
+ for i in 0..100 {
+ assert_eq!((0..i).tree_reduce(|x, y| x + y), (0..i).fold1(|x, y| x + y));
+ }
+}
+
+#[test]
+fn exactly_one() {
+ assert_eq!((0..10).filter(|&x| x == 2).exactly_one().unwrap(), 2);
+ assert!((0..10)
+ .filter(|&x| x > 1 && x < 4)
+ .exactly_one()
+ .unwrap_err()
+ .eq(2..4));
+ assert!((0..10)
+ .filter(|&x| x > 1 && x < 5)
+ .exactly_one()
+ .unwrap_err()
+ .eq(2..5));
+ assert!((0..10)
+ .filter(|&_| false)
+ .exactly_one()
+ .unwrap_err()
+ .eq(0..0));
+}
+
+#[test]
+fn at_most_one() {
+ assert_eq!((0..10).filter(|&x| x == 2).at_most_one().unwrap(), Some(2));
+ assert!((0..10)
+ .filter(|&x| x > 1 && x < 4)
+ .at_most_one()
+ .unwrap_err()
+ .eq(2..4));
+ assert!((0..10)
+ .filter(|&x| x > 1 && x < 5)
+ .at_most_one()
+ .unwrap_err()
+ .eq(2..5));
+ assert_eq!((0..10).filter(|&_| false).at_most_one().unwrap(), None);
+}
+
+#[test]
+fn sum1() {
+ let v: &[i32] = &[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
+ assert_eq!(v[..0].iter().cloned().sum1::<i32>(), None);
+ assert_eq!(v[1..2].iter().cloned().sum1::<i32>(), Some(1));
+ assert_eq!(v[1..3].iter().cloned().sum1::<i32>(), Some(3));
+ assert_eq!(v.iter().cloned().sum1::<i32>(), Some(55));
+}
+
+#[test]
+fn product1() {
+ let v: &[i32] = &[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
+ assert_eq!(v[..0].iter().cloned().product1::<i32>(), None);
+ assert_eq!(v[..1].iter().cloned().product1::<i32>(), Some(0));
+ assert_eq!(v[1..3].iter().cloned().product1::<i32>(), Some(2));
+ assert_eq!(v[1..5].iter().cloned().product1::<i32>(), Some(24));
+}
+
+#[test]
+fn next_array() {
+ let v = [1, 2, 3, 4, 5];
+ let mut iter = v.iter();
+ assert_eq!(iter.next_array(), Some([]));
+ assert_eq!(iter.next_array().map(|[&x, &y]| [x, y]), Some([1, 2]));
+ assert_eq!(iter.next_array().map(|[&x, &y]| [x, y]), Some([3, 4]));
+ assert_eq!(iter.next_array::<2>(), None);
+}
+
+#[test]
+fn collect_array() {
+ let v = [1, 2];
+ let iter = v.iter().cloned();
+ assert_eq!(iter.collect_array(), Some([1, 2]));
+
+ let v = [1];
+ let iter = v.iter().cloned();
+ assert_eq!(iter.collect_array::<2>(), None);
+
+ let v = [1, 2, 3];
+ let iter = v.iter().cloned();
+ assert_eq!(iter.collect_array::<2>(), None);
+}
diff --git a/vendor/itertools/tests/test_std.rs b/vendor/itertools/tests/test_std.rs
new file mode 100644
index 00000000..ad391faa
--- /dev/null
+++ b/vendor/itertools/tests/test_std.rs
@@ -0,0 +1,1569 @@
+#![allow(unstable_name_collisions)]
+
+use crate::it::cloned;
+use crate::it::free::put_back_n;
+use crate::it::free::rciter;
+use crate::it::iproduct;
+use crate::it::izip;
+use crate::it::multipeek;
+use crate::it::multizip;
+use crate::it::peek_nth;
+use crate::it::repeat_n;
+use crate::it::ExactlyOneError;
+use crate::it::FoldWhile;
+use crate::it::Itertools;
+use itertools as it;
+use quickcheck as qc;
+use rand::{
+ distributions::{Distribution, Standard},
+ rngs::StdRng,
+ Rng, SeedableRng,
+};
+use rand::{seq::SliceRandom, thread_rng};
+use std::{cmp::min, fmt::Debug, marker::PhantomData};
+
+#[test]
+fn product3() {
+ let prod = iproduct!(0..3, 0..2, 0..2);
+ assert_eq!(prod.size_hint(), (12, Some(12)));
+ let v = prod.collect_vec();
+ for i in 0..3 {
+ for j in 0..2 {
+ for k in 0..2 {
+ assert!((i, j, k) == v[(i * 2 * 2 + j * 2 + k) as usize]);
+ }
+ }
+ }
+ for (_, _, _, _) in iproduct!(0..3, 0..2, 0..2, 0..3) { /* test compiles */ }
+}
+
+#[test]
+fn interleave_shortest() {
+ let v0: Vec<i32> = vec![0, 2, 4];
+ let v1: Vec<i32> = vec![1, 3, 5, 7];
+ let it = v0.into_iter().interleave_shortest(v1);
+ assert_eq!(it.size_hint(), (6, Some(6)));
+ assert_eq!(it.collect_vec(), vec![0, 1, 2, 3, 4, 5]);
+
+ let v0: Vec<i32> = vec![0, 2, 4, 6, 8];
+ let v1: Vec<i32> = vec![1, 3, 5];
+ let it = v0.into_iter().interleave_shortest(v1);
+ assert_eq!(it.size_hint(), (7, Some(7)));
+ assert_eq!(it.collect_vec(), vec![0, 1, 2, 3, 4, 5, 6]);
+
+ let i0 = ::std::iter::repeat(0);
+ let v1: Vec<_> = vec![1, 3, 5];
+ let it = i0.interleave_shortest(v1);
+ assert_eq!(it.size_hint(), (7, Some(7)));
+
+ let v0: Vec<_> = vec![0, 2, 4];
+ let i1 = ::std::iter::repeat(1);
+ let it = v0.into_iter().interleave_shortest(i1);
+ assert_eq!(it.size_hint(), (6, Some(6)));
+}
+
+#[test]
+fn duplicates_by() {
+ let xs = ["aaa", "bbbbb", "aa", "ccc", "bbbb", "aaaaa", "cccc"];
+ let ys = ["aa", "bbbb", "cccc"];
+ it::assert_equal(ys.iter(), xs.iter().duplicates_by(|x| x[..2].to_string()));
+ it::assert_equal(
+ ys.iter(),
+ xs.iter().rev().duplicates_by(|x| x[..2].to_string()).rev(),
+ );
+ let ys_rev = ["ccc", "aa", "bbbbb"];
+ it::assert_equal(
+ ys_rev.iter(),
+ xs.iter().duplicates_by(|x| x[..2].to_string()).rev(),
+ );
+}
+
+#[test]
+fn duplicates() {
+ let xs = [0, 1, 2, 3, 2, 1, 3];
+ let ys = [2, 1, 3];
+ it::assert_equal(ys.iter(), xs.iter().duplicates());
+ it::assert_equal(ys.iter(), xs.iter().rev().duplicates().rev());
+ let ys_rev = [3, 2, 1];
+ it::assert_equal(ys_rev.iter(), xs.iter().duplicates().rev());
+
+ let xs = [0, 1, 0, 1];
+ let ys = [0, 1];
+ it::assert_equal(ys.iter(), xs.iter().duplicates());
+ it::assert_equal(ys.iter(), xs.iter().rev().duplicates().rev());
+ let ys_rev = [1, 0];
+ it::assert_equal(ys_rev.iter(), xs.iter().duplicates().rev());
+
+ let xs = [0, 1, 2, 1, 2];
+ let ys = vec![1, 2];
+ assert_eq!(ys, xs.iter().duplicates().cloned().collect_vec());
+ assert_eq!(
+ ys,
+ xs.iter().rev().duplicates().rev().cloned().collect_vec()
+ );
+ let ys_rev = vec![2, 1];
+ assert_eq!(ys_rev, xs.iter().duplicates().rev().cloned().collect_vec());
+}
+
+#[test]
+fn unique_by() {
+ let xs = ["aaa", "bbbbb", "aa", "ccc", "bbbb", "aaaaa", "cccc"];
+ let ys = ["aaa", "bbbbb", "ccc"];
+ it::assert_equal(ys.iter(), xs.iter().unique_by(|x| x[..2].to_string()));
+ it::assert_equal(
+ ys.iter(),
+ xs.iter().rev().unique_by(|x| x[..2].to_string()).rev(),
+ );
+ let ys_rev = ["cccc", "aaaaa", "bbbb"];
+ it::assert_equal(
+ ys_rev.iter(),
+ xs.iter().unique_by(|x| x[..2].to_string()).rev(),
+ );
+}
+
+#[test]
+fn unique() {
+ let xs = [0, 1, 2, 3, 2, 1, 3];
+ let ys = [0, 1, 2, 3];
+ it::assert_equal(ys.iter(), xs.iter().unique());
+ it::assert_equal(ys.iter(), xs.iter().rev().unique().rev());
+ let ys_rev = [3, 1, 2, 0];
+ it::assert_equal(ys_rev.iter(), xs.iter().unique().rev());
+
+ let xs = [0, 1];
+ let ys = [0, 1];
+ it::assert_equal(ys.iter(), xs.iter().unique());
+ it::assert_equal(ys.iter(), xs.iter().rev().unique().rev());
+ let ys_rev = [1, 0];
+ it::assert_equal(ys_rev.iter(), xs.iter().unique().rev());
+}
+
+#[test]
+fn intersperse() {
+ let xs = ["a", "", "b", "c"];
+ let v: Vec<&str> = xs.iter().cloned().intersperse(", ").collect();
+ let text: String = v.concat();
+ assert_eq!(text, "a, , b, c".to_string());
+
+ let ys = [0, 1, 2, 3];
+ let mut it = ys[..0].iter().copied().intersperse(1);
+ assert!(it.next().is_none());
+}
+
+#[test]
+fn dedup() {
+ let xs = [0, 1, 1, 1, 2, 1, 3, 3];
+ let ys = [0, 1, 2, 1, 3];
+ it::assert_equal(ys.iter(), xs.iter().dedup());
+ let xs = [0, 0, 0, 0, 0];
+ let ys = [0];
+ it::assert_equal(ys.iter(), xs.iter().dedup());
+
+ let xs = [0, 1, 1, 1, 2, 1, 3, 3];
+ let ys = [0, 1, 2, 1, 3];
+ let mut xs_d = Vec::new();
+ xs.iter().dedup().fold((), |(), &elt| xs_d.push(elt));
+ assert_eq!(&xs_d, &ys);
+}
+
+#[test]
+fn coalesce() {
+ let data = [-1., -2., -3., 3., 1., 0., -1.];
+ let it = data.iter().cloned().coalesce(|x, y| {
+ if (x >= 0.) == (y >= 0.) {
+ Ok(x + y)
+ } else {
+ Err((x, y))
+ }
+ });
+ itertools::assert_equal(it.clone(), vec![-6., 4., -1.]);
+ assert_eq!(
+ it.fold(vec![], |mut v, n| {
+ v.push(n);
+ v
+ }),
+ vec![-6., 4., -1.]
+ );
+}
+
+#[test]
+fn dedup_by() {
+ let xs = [
+ (0, 0),
+ (0, 1),
+ (1, 1),
+ (2, 1),
+ (0, 2),
+ (3, 1),
+ (0, 3),
+ (1, 3),
+ ];
+ let ys = [(0, 0), (0, 1), (0, 2), (3, 1), (0, 3)];
+ it::assert_equal(ys.iter(), xs.iter().dedup_by(|x, y| x.1 == y.1));
+ let xs = [(0, 1), (0, 2), (0, 3), (0, 4), (0, 5)];
+ let ys = [(0, 1)];
+ it::assert_equal(ys.iter(), xs.iter().dedup_by(|x, y| x.0 == y.0));
+
+ let xs = [
+ (0, 0),
+ (0, 1),
+ (1, 1),
+ (2, 1),
+ (0, 2),
+ (3, 1),
+ (0, 3),
+ (1, 3),
+ ];
+ let ys = [(0, 0), (0, 1), (0, 2), (3, 1), (0, 3)];
+ let mut xs_d = Vec::new();
+ xs.iter()
+ .dedup_by(|x, y| x.1 == y.1)
+ .fold((), |(), &elt| xs_d.push(elt));
+ assert_eq!(&xs_d, &ys);
+}
+
+#[test]
+fn dedup_with_count() {
+ let xs: [i32; 8] = [0, 1, 1, 1, 2, 1, 3, 3];
+ let ys: [(usize, &i32); 5] = [(1, &0), (3, &1), (1, &2), (1, &1), (2, &3)];
+
+ it::assert_equal(ys.iter().cloned(), xs.iter().dedup_with_count());
+
+ let xs: [i32; 5] = [0, 0, 0, 0, 0];
+ let ys: [(usize, &i32); 1] = [(5, &0)];
+
+ it::assert_equal(ys.iter().cloned(), xs.iter().dedup_with_count());
+}
+
+#[test]
+fn dedup_by_with_count() {
+ let xs = [
+ (0, 0),
+ (0, 1),
+ (1, 1),
+ (2, 1),
+ (0, 2),
+ (3, 1),
+ (0, 3),
+ (1, 3),
+ ];
+ let ys = [
+ (1, &(0, 0)),
+ (3, &(0, 1)),
+ (1, &(0, 2)),
+ (1, &(3, 1)),
+ (2, &(0, 3)),
+ ];
+
+ it::assert_equal(
+ ys.iter().cloned(),
+ xs.iter().dedup_by_with_count(|x, y| x.1 == y.1),
+ );
+
+ let xs = [(0, 1), (0, 2), (0, 3), (0, 4), (0, 5)];
+ let ys = [(5, &(0, 1))];
+
+ it::assert_equal(
+ ys.iter().cloned(),
+ xs.iter().dedup_by_with_count(|x, y| x.0 == y.0),
+ );
+}
+
+#[test]
+fn all_equal() {
+ assert!("".chars().all_equal());
+ assert!("A".chars().all_equal());
+ assert!(!"AABBCCC".chars().all_equal());
+ assert!("AAAAAAA".chars().all_equal());
+ for (_key, mut sub) in &"AABBCCC".chars().chunk_by(|&x| x) {
+ assert!(sub.all_equal());
+ }
+}
+
+#[test]
+fn all_equal_value() {
+ assert_eq!("".chars().all_equal_value(), Err(None));
+ assert_eq!("A".chars().all_equal_value(), Ok('A'));
+ assert_eq!("AABBCCC".chars().all_equal_value(), Err(Some(('A', 'B'))));
+ assert_eq!("AAAAAAA".chars().all_equal_value(), Ok('A'));
+ {
+ let mut it = [1, 2, 3].iter().copied();
+ let result = it.all_equal_value();
+ assert_eq!(result, Err(Some((1, 2))));
+ let remaining = it.next();
+ assert_eq!(remaining, Some(3));
+ assert!(it.next().is_none());
+ }
+}
+
+#[test]
+fn all_unique() {
+ assert!("ABCDEFGH".chars().all_unique());
+ assert!(!"ABCDEFGA".chars().all_unique());
+ assert!(::std::iter::empty::<usize>().all_unique());
+}
+
+#[test]
+fn test_put_back_n() {
+ let xs = [0, 1, 1, 1, 2, 1, 3, 3];
+ let mut pb = put_back_n(xs.iter().cloned());
+ pb.next();
+ pb.next();
+ pb.put_back(1);
+ pb.put_back(0);
+ it::assert_equal(pb, xs.iter().cloned());
+}
+
+#[test]
+fn tee() {
+ let xs = [0, 1, 2, 3];
+ let (mut t1, mut t2) = xs.iter().cloned().tee();
+ assert_eq!(t1.next(), Some(0));
+ assert_eq!(t2.next(), Some(0));
+ assert_eq!(t1.next(), Some(1));
+ assert_eq!(t1.next(), Some(2));
+ assert_eq!(t1.next(), Some(3));
+ assert_eq!(t1.next(), None);
+ assert_eq!(t2.next(), Some(1));
+ assert_eq!(t2.next(), Some(2));
+ assert_eq!(t1.next(), None);
+ assert_eq!(t2.next(), Some(3));
+ assert_eq!(t2.next(), None);
+ assert_eq!(t1.next(), None);
+ assert_eq!(t2.next(), None);
+
+ let (t1, t2) = xs.iter().cloned().tee();
+ it::assert_equal(t1, xs.iter().cloned());
+ it::assert_equal(t2, xs.iter().cloned());
+
+ let (t1, t2) = xs.iter().cloned().tee();
+ it::assert_equal(t1.zip(t2), xs.iter().cloned().zip(xs.iter().cloned()));
+}
+
+#[test]
+fn test_rciter() {
+ let xs = [0, 1, 1, 1, 2, 1, 3, 5, 6];
+
+ let mut r1 = rciter(xs.iter().cloned());
+ let mut r2 = r1.clone();
+ assert_eq!(r1.next(), Some(0));
+ assert_eq!(r2.next(), Some(1));
+ let mut z = r1.zip(r2);
+ assert_eq!(z.next(), Some((1, 1)));
+ assert_eq!(z.next(), Some((2, 1)));
+ assert_eq!(z.next(), Some((3, 5)));
+ assert_eq!(z.next(), None);
+
+ // test intoiterator
+ let r1 = rciter(0..5);
+ let mut z = izip!(&r1, r1);
+ assert_eq!(z.next(), Some((0, 1)));
+}
+
+#[test]
+fn trait_pointers() {
+ struct ByRef<'r, I: ?Sized>(&'r mut I);
+
+ impl<'r, X, I> Iterator for ByRef<'r, I>
+ where
+ I: ?Sized + 'r + Iterator<Item = X>,
+ {
+ type Item = X;
+ fn next(&mut self) -> Option<Self::Item> {
+ self.0.next()
+ }
+ }
+
+ let mut it = Box::new(0..10) as Box<dyn Iterator<Item = i32>>;
+ assert_eq!(it.next(), Some(0));
+
+ {
+ let jt: &mut dyn Iterator<Item = i32> = &mut *it;
+ assert_eq!(jt.next(), Some(1));
+
+ {
+ let mut r = ByRef(jt);
+ assert_eq!(r.next(), Some(2));
+ }
+
+ assert_eq!(jt.find_position(|x| *x == 4), Some((1, 4)));
+ jt.for_each(|_| ());
+ }
+}
+
+#[test]
+fn merge_by() {
+ let odd: Vec<(u32, &str)> = vec![(1, "hello"), (3, "world"), (5, "!")];
+ let even = [(2, "foo"), (4, "bar"), (6, "baz")];
+ let expected = [
+ (1, "hello"),
+ (2, "foo"),
+ (3, "world"),
+ (4, "bar"),
+ (5, "!"),
+ (6, "baz"),
+ ];
+ let results = odd.iter().merge_by(even.iter(), |a, b| a.0 <= b.0);
+ it::assert_equal(results, expected.iter());
+}
+
+#[test]
+fn merge_by_btree() {
+ use std::collections::BTreeMap;
+ let mut bt1 = BTreeMap::new();
+ bt1.insert("hello", 1);
+ bt1.insert("world", 3);
+ let mut bt2 = BTreeMap::new();
+ bt2.insert("foo", 2);
+ bt2.insert("bar", 4);
+ let results = bt1.into_iter().merge_by(bt2, |a, b| a.0 <= b.0);
+ let expected = vec![("bar", 4), ("foo", 2), ("hello", 1), ("world", 3)];
+ it::assert_equal(results, expected);
+}
+
+#[test]
+fn kmerge() {
+ let its = (0..4).map(|s| (s..10).step_by(4));
+
+ it::assert_equal(its.kmerge(), 0..10);
+}
+
+#[test]
+fn kmerge_2() {
+ let its = vec![3, 2, 1, 0].into_iter().map(|s| (s..10).step_by(4));
+
+ it::assert_equal(its.kmerge(), 0..10);
+}
+
+#[test]
+fn kmerge_empty() {
+ let its = (0..4).map(|_| 0..0);
+ assert_eq!(its.kmerge().next(), None);
+}
+
+#[test]
+fn kmerge_size_hint() {
+ let its = (0..5).map(|_| (0..10));
+ assert_eq!(its.kmerge().size_hint(), (50, Some(50)));
+}
+
+#[test]
+fn kmerge_empty_size_hint() {
+ let its = (0..5).map(|_| (0..0));
+ assert_eq!(its.kmerge().size_hint(), (0, Some(0)));
+}
+
+#[test]
+fn join() {
+ let many = [1, 2, 3];
+ let one = [1];
+ let none: Vec<i32> = vec![];
+
+ assert_eq!(many.iter().join(", "), "1, 2, 3");
+ assert_eq!(one.iter().join(", "), "1");
+ assert_eq!(none.iter().join(", "), "");
+}
+
+#[test]
+fn sorted_unstable_by() {
+ let sc = [3, 4, 1, 2].iter().cloned().sorted_by(|&a, &b| a.cmp(&b));
+ it::assert_equal(sc, vec![1, 2, 3, 4]);
+
+ let v = (0..5).sorted_unstable_by(|&a, &b| a.cmp(&b).reverse());
+ it::assert_equal(v, vec![4, 3, 2, 1, 0]);
+}
+
+#[test]
+fn sorted_unstable_by_key() {
+ let sc = [3, 4, 1, 2].iter().cloned().sorted_unstable_by_key(|&x| x);
+ it::assert_equal(sc, vec![1, 2, 3, 4]);
+
+ let v = (0..5).sorted_unstable_by_key(|&x| -x);
+ it::assert_equal(v, vec![4, 3, 2, 1, 0]);
+}
+
+#[test]
+fn sorted_by() {
+ let sc = [3, 4, 1, 2].iter().cloned().sorted_by(|&a, &b| a.cmp(&b));
+ it::assert_equal(sc, vec![1, 2, 3, 4]);
+
+ let v = (0..5).sorted_by(|&a, &b| a.cmp(&b).reverse());
+ it::assert_equal(v, vec![4, 3, 2, 1, 0]);
+}
+
+#[cfg(not(miri))]
+qc::quickcheck! {
+ fn k_smallest_range(n: i64, m: u16, k: u16) -> () {
+ // u16 is used to constrain k and m to 0..2¹⁶,
+ // otherwise the test could use too much memory.
+ let (k, m) = (k as usize, m as u64);
+
+ let mut v: Vec<_> = (n..n.saturating_add(m as _)).collect();
+ // Generate a random permutation of n..n+m
+ v.shuffle(&mut thread_rng());
+
+ // Construct the right answers for the top and bottom elements
+ let mut sorted = v.clone();
+ sorted.sort();
+ // how many elements are we checking
+ let num_elements = min(k, m as _);
+
+ // Compute the top and bottom k in various combinations
+ let sorted_smallest = sorted[..num_elements].iter().cloned();
+ let smallest = v.iter().cloned().k_smallest(k);
+ let smallest_by = v.iter().cloned().k_smallest_by(k, Ord::cmp);
+ let smallest_by_key = v.iter().cloned().k_smallest_by_key(k, |&x| x);
+
+ let sorted_largest = sorted[sorted.len() - num_elements..].iter().rev().cloned();
+ let largest = v.iter().cloned().k_largest(k);
+ let largest_by = v.iter().cloned().k_largest_by(k, Ord::cmp);
+ let largest_by_key = v.iter().cloned().k_largest_by_key(k, |&x| x);
+
+ // Check the variations produce the same answers and that they're right
+ it::assert_equal(smallest, sorted_smallest.clone());
+ it::assert_equal(smallest_by, sorted_smallest.clone());
+ it::assert_equal(smallest_by_key, sorted_smallest);
+
+ it::assert_equal(largest, sorted_largest.clone());
+ it::assert_equal(largest_by, sorted_largest.clone());
+ it::assert_equal(largest_by_key, sorted_largest);
+ }
+
+ fn k_smallest_relaxed_range(n: i64, m: u16, k: u16) -> () {
+ // u16 is used to constrain k and m to 0..2¹⁶,
+ // otherwise the test could use too much memory.
+ let (k, m) = (k as usize, m as u64);
+
+ let mut v: Vec<_> = (n..n.saturating_add(m as _)).collect();
+ // Generate a random permutation of n..n+m
+ v.shuffle(&mut thread_rng());
+
+ // Construct the right answers for the top and bottom elements
+ let mut sorted = v.clone();
+ sorted.sort();
+ // how many elements are we checking
+ let num_elements = min(k, m as _);
+
+ // Compute the top and bottom k in various combinations
+ let sorted_smallest = sorted[..num_elements].iter().cloned();
+ let smallest = v.iter().cloned().k_smallest_relaxed(k);
+ let smallest_by = v.iter().cloned().k_smallest_relaxed_by(k, Ord::cmp);
+ let smallest_by_key = v.iter().cloned().k_smallest_relaxed_by_key(k, |&x| x);
+
+ let sorted_largest = sorted[sorted.len() - num_elements..].iter().rev().cloned();
+ let largest = v.iter().cloned().k_largest_relaxed(k);
+ let largest_by = v.iter().cloned().k_largest_relaxed_by(k, Ord::cmp);
+ let largest_by_key = v.iter().cloned().k_largest_relaxed_by_key(k, |&x| x);
+
+ // Check the variations produce the same answers and that they're right
+ it::assert_equal(smallest, sorted_smallest.clone());
+ it::assert_equal(smallest_by, sorted_smallest.clone());
+ it::assert_equal(smallest_by_key, sorted_smallest);
+
+ it::assert_equal(largest, sorted_largest.clone());
+ it::assert_equal(largest_by, sorted_largest.clone());
+ it::assert_equal(largest_by_key, sorted_largest);
+ }
+}
+
+#[derive(Clone, Debug)]
+struct RandIter<T: 'static + Clone + Send, R: 'static + Clone + Rng + SeedableRng + Send = StdRng> {
+ idx: usize,
+ len: usize,
+ rng: R,
+ _t: PhantomData<T>,
+}
+
+impl<T: Clone + Send, R: Clone + Rng + SeedableRng + Send> Iterator for RandIter<T, R>
+where
+ Standard: Distribution<T>,
+{
+ type Item = T;
+ fn next(&mut self) -> Option<T> {
+ if self.idx == self.len {
+ None
+ } else {
+ self.idx += 1;
+ Some(self.rng.gen())
+ }
+ }
+}
+
+impl<T: Clone + Send, R: Clone + Rng + SeedableRng + Send> qc::Arbitrary for RandIter<T, R> {
+ fn arbitrary<G: qc::Gen>(g: &mut G) -> Self {
+ Self {
+ idx: 0,
+ len: g.size(),
+ rng: R::seed_from_u64(g.next_u64()),
+ _t: PhantomData {},
+ }
+ }
+}
+
+// Check that taking the k smallest is the same as
+// sorting then taking the k first elements
+fn k_smallest_sort<I>(i: I, k: u16)
+where
+ I: Iterator + Clone,
+ I::Item: Ord + Debug,
+{
+ let j = i.clone();
+ let i1 = i.clone();
+ let j1 = i.clone();
+ let k = k as usize;
+ it::assert_equal(i.k_smallest(k), j.sorted().take(k));
+ it::assert_equal(i1.k_smallest_relaxed(k), j1.sorted().take(k));
+}
+
+// Similar to `k_smallest_sort` but for our custom heap implementation.
+fn k_smallest_by_sort<I>(i: I, k: u16)
+where
+ I: Iterator + Clone,
+ I::Item: Ord + Debug,
+{
+ let j = i.clone();
+ let i1 = i.clone();
+ let j1 = i.clone();
+ let k = k as usize;
+ it::assert_equal(i.k_smallest_by(k, Ord::cmp), j.sorted().take(k));
+ it::assert_equal(i1.k_smallest_relaxed_by(k, Ord::cmp), j1.sorted().take(k));
+}
+
+macro_rules! generic_test {
+ ($f:ident, $($t:ty),+) => {
+ $(paste::item! {
+ qc::quickcheck! {
+ fn [< $f _ $t >](i: RandIter<$t>, k: u16) -> () {
+ $f(i, k)
+ }
+ }
+ })+
+ };
+}
+
+#[cfg(not(miri))]
+generic_test!(k_smallest_sort, u8, u16, u32, u64, i8, i16, i32, i64);
+#[cfg(not(miri))]
+generic_test!(k_smallest_by_sort, u8, u16, u32, u64, i8, i16, i32, i64);
+
+#[test]
+fn sorted_by_key() {
+ let sc = [3, 4, 1, 2].iter().cloned().sorted_by_key(|&x| x);
+ it::assert_equal(sc, vec![1, 2, 3, 4]);
+
+ let v = (0..5).sorted_by_key(|&x| -x);
+ it::assert_equal(v, vec![4, 3, 2, 1, 0]);
+}
+
+#[test]
+fn sorted_by_cached_key() {
+ // Track calls to key function
+ let mut ncalls = 0;
+
+ let sorted = [3, 4, 1, 2].iter().cloned().sorted_by_cached_key(|&x| {
+ ncalls += 1;
+ x.to_string()
+ });
+ it::assert_equal(sorted, vec![1, 2, 3, 4]);
+ // Check key function called once per element
+ assert_eq!(ncalls, 4);
+
+ let mut ncalls = 0;
+
+ let sorted = (0..5).sorted_by_cached_key(|&x| {
+ ncalls += 1;
+ -x
+ });
+ it::assert_equal(sorted, vec![4, 3, 2, 1, 0]);
+ // Check key function called once per element
+ assert_eq!(ncalls, 5);
+}
+
+#[test]
+fn test_multipeek() {
+ let nums = vec![1u8, 2, 3, 4, 5];
+
+ let mp = multipeek(nums.iter().copied());
+ assert_eq!(nums, mp.collect::<Vec<_>>());
+
+ let mut mp = multipeek(nums.iter().copied());
+ assert_eq!(mp.peek(), Some(&1));
+ assert_eq!(mp.next(), Some(1));
+ assert_eq!(mp.peek(), Some(&2));
+ assert_eq!(mp.peek(), Some(&3));
+ assert_eq!(mp.next(), Some(2));
+ assert_eq!(mp.peek(), Some(&3));
+ assert_eq!(mp.peek(), Some(&4));
+ assert_eq!(mp.peek(), Some(&5));
+ assert_eq!(mp.peek(), None);
+ assert_eq!(mp.next(), Some(3));
+ assert_eq!(mp.next(), Some(4));
+ assert_eq!(mp.peek(), Some(&5));
+ assert_eq!(mp.peek(), None);
+ assert_eq!(mp.next(), Some(5));
+ assert_eq!(mp.next(), None);
+ assert_eq!(mp.peek(), None);
+}
+
+#[test]
+fn test_multipeek_reset() {
+ let data = [1, 2, 3, 4];
+
+ let mut mp = multipeek(cloned(&data));
+ assert_eq!(mp.peek(), Some(&1));
+ assert_eq!(mp.next(), Some(1));
+ assert_eq!(mp.peek(), Some(&2));
+ assert_eq!(mp.peek(), Some(&3));
+ mp.reset_peek();
+ assert_eq!(mp.peek(), Some(&2));
+ assert_eq!(mp.next(), Some(2));
+}
+
+#[test]
+fn test_multipeek_peeking_next() {
+ use crate::it::PeekingNext;
+ let nums = [1u8, 2, 3, 4, 5, 6, 7];
+
+ let mut mp = multipeek(nums.iter().copied());
+ assert_eq!(mp.peeking_next(|&x| x != 0), Some(1));
+ assert_eq!(mp.next(), Some(2));
+ assert_eq!(mp.peek(), Some(&3));
+ assert_eq!(mp.peek(), Some(&4));
+ assert_eq!(mp.peeking_next(|&x| x == 3), Some(3));
+ assert_eq!(mp.peek(), Some(&4));
+ assert_eq!(mp.peeking_next(|&x| x != 4), None);
+ assert_eq!(mp.peeking_next(|&x| x == 4), Some(4));
+ assert_eq!(mp.peek(), Some(&5));
+ assert_eq!(mp.peek(), Some(&6));
+ assert_eq!(mp.peeking_next(|&x| x != 5), None);
+ assert_eq!(mp.peek(), Some(&7));
+ assert_eq!(mp.peeking_next(|&x| x == 5), Some(5));
+ assert_eq!(mp.peeking_next(|&x| x == 6), Some(6));
+ assert_eq!(mp.peek(), Some(&7));
+ assert_eq!(mp.peek(), None);
+ assert_eq!(mp.next(), Some(7));
+ assert_eq!(mp.peek(), None);
+}
+
+#[test]
+fn test_repeat_n_peeking_next() {
+ use crate::it::PeekingNext;
+ let mut rn = repeat_n(0, 5);
+ assert_eq!(rn.peeking_next(|&x| x != 0), None);
+ assert_eq!(rn.peeking_next(|&x| x <= 0), Some(0));
+ assert_eq!(rn.next(), Some(0));
+ assert_eq!(rn.peeking_next(|&x| x <= 0), Some(0));
+ assert_eq!(rn.peeking_next(|&x| x != 0), None);
+ assert_eq!(rn.peeking_next(|&x| x >= 0), Some(0));
+ assert_eq!(rn.next(), Some(0));
+ assert_eq!(rn.peeking_next(|&x| x <= 0), None);
+ assert_eq!(rn.next(), None);
+}
+
+#[test]
+fn test_peek_nth() {
+ let nums = vec![1u8, 2, 3, 4, 5];
+
+ let iter = peek_nth(nums.iter().copied());
+ assert_eq!(nums, iter.collect::<Vec<_>>());
+
+ let mut iter = peek_nth(nums.iter().copied());
+
+ assert_eq!(iter.peek_nth(0), Some(&1));
+ assert_eq!(iter.peek_nth(0), Some(&1));
+ assert_eq!(iter.next(), Some(1));
+
+ assert_eq!(iter.peek_nth(0), Some(&2));
+ assert_eq!(iter.peek_nth(1), Some(&3));
+ assert_eq!(iter.next(), Some(2));
+
+ assert_eq!(iter.peek_nth(0), Some(&3));
+ assert_eq!(iter.peek_nth(1), Some(&4));
+ assert_eq!(iter.peek_nth(2), Some(&5));
+ assert_eq!(iter.peek_nth(3), None);
+
+ assert_eq!(iter.next(), Some(3));
+ assert_eq!(iter.next(), Some(4));
+
+ assert_eq!(iter.peek_nth(0), Some(&5));
+ assert_eq!(iter.peek_nth(1), None);
+ assert_eq!(iter.next(), Some(5));
+ assert_eq!(iter.next(), None);
+
+ assert_eq!(iter.peek_nth(0), None);
+ assert_eq!(iter.peek_nth(1), None);
+}
+
+#[test]
+fn test_peek_nth_peeking_next() {
+ use it::PeekingNext;
+ let nums = [1u8, 2, 3, 4, 5, 6, 7];
+ let mut iter = peek_nth(nums.iter().copied());
+
+ assert_eq!(iter.peeking_next(|&x| x != 0), Some(1));
+ assert_eq!(iter.next(), Some(2));
+
+ assert_eq!(iter.peek_nth(0), Some(&3));
+ assert_eq!(iter.peek_nth(1), Some(&4));
+ assert_eq!(iter.peeking_next(|&x| x == 3), Some(3));
+ assert_eq!(iter.peek(), Some(&4));
+
+ assert_eq!(iter.peeking_next(|&x| x != 4), None);
+ assert_eq!(iter.peeking_next(|&x| x == 4), Some(4));
+ assert_eq!(iter.peek_nth(0), Some(&5));
+ assert_eq!(iter.peek_nth(1), Some(&6));
+
+ assert_eq!(iter.peeking_next(|&x| x != 5), None);
+ assert_eq!(iter.peek(), Some(&5));
+
+ assert_eq!(iter.peeking_next(|&x| x == 5), Some(5));
+ assert_eq!(iter.peeking_next(|&x| x == 6), Some(6));
+ assert_eq!(iter.peek_nth(0), Some(&7));
+ assert_eq!(iter.peek_nth(1), None);
+ assert_eq!(iter.next(), Some(7));
+ assert_eq!(iter.peek(), None);
+}
+
+#[test]
+fn test_peek_nth_next_if() {
+ let nums = [1u8, 2, 3, 4, 5, 6, 7];
+ let mut iter = peek_nth(nums.iter().copied());
+
+ assert_eq!(iter.next_if(|&x| x != 0), Some(1));
+ assert_eq!(iter.next(), Some(2));
+
+ assert_eq!(iter.peek_nth(0), Some(&3));
+ assert_eq!(iter.peek_nth(1), Some(&4));
+ assert_eq!(iter.next_if_eq(&3), Some(3));
+ assert_eq!(iter.peek(), Some(&4));
+
+ assert_eq!(iter.next_if(|&x| x != 4), None);
+ assert_eq!(iter.next_if_eq(&4), Some(4));
+ assert_eq!(iter.peek_nth(0), Some(&5));
+ assert_eq!(iter.peek_nth(1), Some(&6));
+
+ assert_eq!(iter.next_if(|&x| x != 5), None);
+ assert_eq!(iter.peek(), Some(&5));
+
+ assert_eq!(iter.next_if(|&x| x % 2 == 1), Some(5));
+ assert_eq!(iter.next_if_eq(&6), Some(6));
+ assert_eq!(iter.peek_nth(0), Some(&7));
+ assert_eq!(iter.peek_nth(1), None);
+ assert_eq!(iter.next(), Some(7));
+ assert_eq!(iter.peek(), None);
+}
+
+#[test]
+fn pad_using() {
+ it::assert_equal((0..0).pad_using(1, |_| 1), 1..2);
+
+ let v: Vec<usize> = vec![0, 1, 2];
+ let r = v.into_iter().pad_using(5, |n| n);
+ it::assert_equal(r, vec![0, 1, 2, 3, 4]);
+
+ let v: Vec<usize> = vec![0, 1, 2];
+ let r = v.into_iter().pad_using(1, |_| panic!());
+ it::assert_equal(r, vec![0, 1, 2]);
+}
+
+#[test]
+fn chunk_by() {
+ for (ch1, sub) in &"AABBCCC".chars().chunk_by(|&x| x) {
+ for ch2 in sub {
+ assert_eq!(ch1, ch2);
+ }
+ }
+
+ for (ch1, sub) in &"AAABBBCCCCDDDD".chars().chunk_by(|&x| x) {
+ for ch2 in sub {
+ assert_eq!(ch1, ch2);
+ if ch1 == 'C' {
+ break;
+ }
+ }
+ }
+
+ let toupper = |ch: &char| ch.to_uppercase().next().unwrap();
+
+ // try all possible orderings
+ for indices in permutohedron::Heap::new(&mut [0, 1, 2, 3]) {
+ let chunks = "AaaBbbccCcDDDD".chars().chunk_by(&toupper);
+ let mut subs = chunks.into_iter().collect_vec();
+
+ for &idx in &indices[..] {
+ let (key, text) = match idx {
+ 0 => ('A', "Aaa".chars()),
+ 1 => ('B', "Bbb".chars()),
+ 2 => ('C', "ccCc".chars()),
+ 3 => ('D', "DDDD".chars()),
+ _ => unreachable!(),
+ };
+ assert_eq!(key, subs[idx].0);
+ it::assert_equal(&mut subs[idx].1, text);
+ }
+ }
+
+ let chunks = "AAABBBCCCCDDDD".chars().chunk_by(|&x| x);
+ let mut subs = chunks.into_iter().map(|(_, g)| g).collect_vec();
+
+ let sd = subs.pop().unwrap();
+ let sc = subs.pop().unwrap();
+ let sb = subs.pop().unwrap();
+ let sa = subs.pop().unwrap();
+ for (a, b, c, d) in multizip((sa, sb, sc, sd)) {
+ assert_eq!(a, 'A');
+ assert_eq!(b, 'B');
+ assert_eq!(c, 'C');
+ assert_eq!(d, 'D');
+ }
+
+ // check that the key closure is called exactly n times
+ {
+ let mut ntimes = 0;
+ let text = "AABCCC";
+ for (_, sub) in &text.chars().chunk_by(|&x| {
+ ntimes += 1;
+ x
+ }) {
+ for _ in sub {}
+ }
+ assert_eq!(ntimes, text.len());
+ }
+
+ {
+ let mut ntimes = 0;
+ let text = "AABCCC";
+ for _ in &text.chars().chunk_by(|&x| {
+ ntimes += 1;
+ x
+ }) {}
+ assert_eq!(ntimes, text.len());
+ }
+
+ {
+ let text = "ABCCCDEEFGHIJJKK";
+ let gr = text.chars().chunk_by(|&x| x);
+ it::assert_equal(gr.into_iter().flat_map(|(_, sub)| sub), text.chars());
+ }
+}
+
+#[test]
+fn chunk_by_lazy_2() {
+ let data = [0, 1];
+ let chunks = data.iter().chunk_by(|k| *k);
+ let gs = chunks.into_iter().collect_vec();
+ it::assert_equal(data.iter(), gs.into_iter().flat_map(|(_k, g)| g));
+
+ let data = [0, 1, 1, 0, 0];
+ let chunks = data.iter().chunk_by(|k| *k);
+ let mut gs = chunks.into_iter().collect_vec();
+ gs[1..].reverse();
+ it::assert_equal(&[0, 0, 0, 1, 1], gs.into_iter().flat_map(|(_, g)| g));
+
+ let grouper = data.iter().chunk_by(|k| *k);
+ let mut chunks = Vec::new();
+ for (k, chunk) in &grouper {
+ if *k == 1 {
+ chunks.push(chunk);
+ }
+ }
+ it::assert_equal(&mut chunks[0], &[1, 1]);
+
+ let data = [0, 0, 0, 1, 1, 0, 0, 2, 2, 3, 3];
+ let grouper = data.iter().chunk_by(|k| *k);
+ let mut chunks = Vec::new();
+ for (i, (_, chunk)) in grouper.into_iter().enumerate() {
+ if i < 2 {
+ chunks.push(chunk);
+ } else if i < 4 {
+ for _ in chunk {}
+ } else {
+ chunks.push(chunk);
+ }
+ }
+ it::assert_equal(&mut chunks[0], &[0, 0, 0]);
+ it::assert_equal(&mut chunks[1], &[1, 1]);
+ it::assert_equal(&mut chunks[2], &[3, 3]);
+
+ let data = [0, 0, 0, 1, 1, 0, 0, 2, 2, 3, 3];
+ let mut i = 0;
+ let grouper = data.iter().chunk_by(move |_| {
+ let k = i / 3;
+ i += 1;
+ k
+ });
+ for (i, chunk) in &grouper {
+ match i {
+ 0 => it::assert_equal(chunk, &[0, 0, 0]),
+ 1 => it::assert_equal(chunk, &[1, 1, 0]),
+ 2 => it::assert_equal(chunk, &[0, 2, 2]),
+ 3 => it::assert_equal(chunk, &[3, 3]),
+ _ => unreachable!(),
+ }
+ }
+}
+
+#[test]
+fn chunk_by_lazy_3() {
+ // test consuming each chunk on the lap after it was produced
+ let data = [0, 0, 0, 1, 1, 0, 0, 1, 1, 2, 2];
+ let grouper = data.iter().chunk_by(|elt| *elt);
+ let mut last = None;
+ for (key, chunk) in &grouper {
+ if let Some(gr) = last.take() {
+ for elt in gr {
+ assert!(elt != key && i32::abs(elt - key) == 1);
+ }
+ }
+ last = Some(chunk);
+ }
+}
+
+#[test]
+fn chunks() {
+ let data = [0, 0, 0, 1, 1, 0, 0, 2, 2, 3, 3];
+ let grouper = data.iter().chunks(3);
+ for (i, chunk) in grouper.into_iter().enumerate() {
+ match i {
+ 0 => it::assert_equal(chunk, &[0, 0, 0]),
+ 1 => it::assert_equal(chunk, &[1, 1, 0]),
+ 2 => it::assert_equal(chunk, &[0, 2, 2]),
+ 3 => it::assert_equal(chunk, &[3, 3]),
+ _ => unreachable!(),
+ }
+ }
+}
+
+#[test]
+fn concat_empty() {
+ let data: Vec<Vec<()>> = Vec::new();
+ assert_eq!(data.into_iter().concat(), Vec::new())
+}
+
+#[test]
+fn concat_non_empty() {
+ let data = vec![vec![1, 2, 3], vec![4, 5, 6], vec![7, 8, 9]];
+ assert_eq!(data.into_iter().concat(), vec![1, 2, 3, 4, 5, 6, 7, 8, 9])
+}
+
+#[test]
+fn combinations() {
+ assert!((1..3).combinations(5).next().is_none());
+
+ let it = (1..3).combinations(2);
+ it::assert_equal(it, vec![vec![1, 2]]);
+
+ let it = (1..5).combinations(2);
+ it::assert_equal(
+ it,
+ vec![
+ vec![1, 2],
+ vec![1, 3],
+ vec![1, 4],
+ vec![2, 3],
+ vec![2, 4],
+ vec![3, 4],
+ ],
+ );
+
+ it::assert_equal((0..0).tuple_combinations::<(_, _)>(), <Vec<_>>::new());
+ it::assert_equal((0..1).tuple_combinations::<(_, _)>(), <Vec<_>>::new());
+ it::assert_equal((0..2).tuple_combinations::<(_, _)>(), vec![(0, 1)]);
+
+ it::assert_equal((0..0).combinations(2), <Vec<Vec<_>>>::new());
+ it::assert_equal((0..1).combinations(1), vec![vec![0]]);
+ it::assert_equal((0..2).combinations(1), vec![vec![0], vec![1]]);
+ it::assert_equal((0..2).combinations(2), vec![vec![0, 1]]);
+}
+
+#[test]
+fn combinations_of_too_short() {
+ for i in 1..10 {
+ assert!((0..0).combinations(i).next().is_none());
+ assert!((0..i - 1).combinations(i).next().is_none());
+ }
+}
+
+#[test]
+fn combinations_zero() {
+ it::assert_equal((1..3).combinations(0), vec![vec![]]);
+ it::assert_equal((0..0).combinations(0), vec![vec![]]);
+}
+
+fn binomial(n: usize, k: usize) -> usize {
+ if k > n {
+ 0
+ } else {
+ (n - k + 1..=n).product::<usize>() / (1..=k).product::<usize>()
+ }
+}
+
+#[test]
+fn combinations_range_count() {
+ for n in 0..=7 {
+ for k in 0..=7 {
+ let len = binomial(n, k);
+ let mut it = (0..n).combinations(k);
+ assert_eq!(len, it.clone().count());
+ assert_eq!(len, it.size_hint().0);
+ assert_eq!(Some(len), it.size_hint().1);
+ for count in (0..len).rev() {
+ let elem = it.next();
+ assert!(elem.is_some());
+ assert_eq!(count, it.clone().count());
+ assert_eq!(count, it.size_hint().0);
+ assert_eq!(Some(count), it.size_hint().1);
+ }
+ let should_be_none = it.next();
+ assert!(should_be_none.is_none());
+ }
+ }
+}
+
+#[test]
+fn combinations_inexact_size_hints() {
+ for k in 0..=7 {
+ let mut numbers = (0..18).filter(|i| i % 2 == 0); // 9 elements
+ let mut it = numbers.clone().combinations(k);
+ let real_n = numbers.clone().count();
+ let len = binomial(real_n, k);
+ assert_eq!(len, it.clone().count());
+
+ let mut nb_loaded = 0;
+ let sh = numbers.size_hint();
+ assert_eq!(binomial(sh.0 + nb_loaded, k), it.size_hint().0);
+ assert_eq!(sh.1.map(|n| binomial(n + nb_loaded, k)), it.size_hint().1);
+
+ for next_count in 1..=len {
+ let elem = it.next();
+ assert!(elem.is_some());
+ assert_eq!(len - next_count, it.clone().count());
+ if next_count == 1 {
+ // The very first time, the lazy buffer is prefilled.
+ nb_loaded = numbers.by_ref().take(k).count();
+ } else {
+ // Then it loads one item each time until exhausted.
+ let nb = numbers.next();
+ if nb.is_some() {
+ nb_loaded += 1;
+ }
+ }
+ let sh = numbers.size_hint();
+ if next_count > real_n - k + 1 {
+ assert_eq!(0, sh.0);
+ assert_eq!(Some(0), sh.1);
+ assert_eq!(real_n, nb_loaded);
+ // Once it's fully loaded, size hints of `it` are exacts.
+ }
+ assert_eq!(binomial(sh.0 + nb_loaded, k) - next_count, it.size_hint().0);
+ assert_eq!(
+ sh.1.map(|n| binomial(n + nb_loaded, k) - next_count),
+ it.size_hint().1
+ );
+ }
+ let should_be_none = it.next();
+ assert!(should_be_none.is_none());
+ }
+}
+
+#[test]
+fn permutations_zero() {
+ it::assert_equal((1..3).permutations(0), vec![vec![]]);
+ it::assert_equal((0..0).permutations(0), vec![vec![]]);
+}
+
+#[test]
+fn permutations_range_count() {
+ for n in 0..=4 {
+ for k in 0..=4 {
+ let len = if k <= n { (n - k + 1..=n).product() } else { 0 };
+ let mut it = (0..n).permutations(k);
+ assert_eq!(len, it.clone().count());
+ assert_eq!(len, it.size_hint().0);
+ assert_eq!(Some(len), it.size_hint().1);
+ for count in (0..len).rev() {
+ let elem = it.next();
+ assert!(elem.is_some());
+ assert_eq!(count, it.clone().count());
+ assert_eq!(count, it.size_hint().0);
+ assert_eq!(Some(count), it.size_hint().1);
+ }
+ let should_be_none = it.next();
+ assert!(should_be_none.is_none());
+ }
+ }
+}
+
+#[test]
+fn permutations_overflowed_size_hints() {
+ let mut it = std::iter::repeat(()).permutations(2);
+ assert_eq!(it.size_hint().0, usize::MAX);
+ assert_eq!(it.size_hint().1, None);
+ for nb_generated in 1..=1000 {
+ it.next();
+ assert!(it.size_hint().0 >= usize::MAX - nb_generated);
+ assert_eq!(it.size_hint().1, None);
+ }
+}
+
+#[test]
+#[cfg(not(miri))]
+fn combinations_with_replacement() {
+ // Pool smaller than n
+ it::assert_equal((0..1).combinations_with_replacement(2), vec![vec![0, 0]]);
+ // Pool larger than n
+ it::assert_equal(
+ (0..3).combinations_with_replacement(2),
+ vec![
+ vec![0, 0],
+ vec![0, 1],
+ vec![0, 2],
+ vec![1, 1],
+ vec![1, 2],
+ vec![2, 2],
+ ],
+ );
+ // Zero size
+ it::assert_equal((0..3).combinations_with_replacement(0), vec![vec![]]);
+ // Zero size on empty pool
+ it::assert_equal((0..0).combinations_with_replacement(0), vec![vec![]]);
+ // Empty pool
+ it::assert_equal(
+ (0..0).combinations_with_replacement(2),
+ <Vec<Vec<_>>>::new(),
+ );
+}
+
+#[test]
+fn combinations_with_replacement_range_count() {
+ for n in 0..=4 {
+ for k in 0..=4 {
+ let len = binomial(usize::saturating_sub(n + k, 1), k);
+ let mut it = (0..n).combinations_with_replacement(k);
+ assert_eq!(len, it.clone().count());
+ assert_eq!(len, it.size_hint().0);
+ assert_eq!(Some(len), it.size_hint().1);
+ for count in (0..len).rev() {
+ let elem = it.next();
+ assert!(elem.is_some());
+ assert_eq!(count, it.clone().count());
+ assert_eq!(count, it.size_hint().0);
+ assert_eq!(Some(count), it.size_hint().1);
+ }
+ let should_be_none = it.next();
+ assert!(should_be_none.is_none());
+ }
+ }
+}
+
+#[test]
+fn powerset() {
+ it::assert_equal((0..0).powerset(), vec![vec![]]);
+ it::assert_equal((0..1).powerset(), vec![vec![], vec![0]]);
+ it::assert_equal(
+ (0..2).powerset(),
+ vec![vec![], vec![0], vec![1], vec![0, 1]],
+ );
+ it::assert_equal(
+ (0..3).powerset(),
+ vec![
+ vec![],
+ vec![0],
+ vec![1],
+ vec![2],
+ vec![0, 1],
+ vec![0, 2],
+ vec![1, 2],
+ vec![0, 1, 2],
+ ],
+ );
+
+ assert_eq!((0..4).powerset().count(), 1 << 4);
+ assert_eq!((0..8).powerset().count(), 1 << 8);
+ assert_eq!((0..16).powerset().count(), 1 << 16);
+
+ for n in 0..=4 {
+ let mut it = (0..n).powerset();
+ let len = 2_usize.pow(n);
+ assert_eq!(len, it.clone().count());
+ assert_eq!(len, it.size_hint().0);
+ assert_eq!(Some(len), it.size_hint().1);
+ for count in (0..len).rev() {
+ let elem = it.next();
+ assert!(elem.is_some());
+ assert_eq!(count, it.clone().count());
+ assert_eq!(count, it.size_hint().0);
+ assert_eq!(Some(count), it.size_hint().1);
+ }
+ let should_be_none = it.next();
+ assert!(should_be_none.is_none());
+ }
+}
+
+#[test]
+fn diff_mismatch() {
+ let a = [1, 2, 3, 4];
+ let b = vec![1.0, 5.0, 3.0, 4.0];
+ let b_map = b.into_iter().map(|f| f as i32);
+ let diff = it::diff_with(a.iter(), b_map, |a, b| *a == b);
+
+ assert!(match diff {
+ Some(it::Diff::FirstMismatch(1, _, from_diff)) =>
+ from_diff.collect::<Vec<_>>() == vec![5, 3, 4],
+ _ => false,
+ });
+}
+
+#[test]
+fn diff_longer() {
+ let a = [1, 2, 3, 4];
+ let b = vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0];
+ let b_map = b.into_iter().map(|f| f as i32);
+ let diff = it::diff_with(a.iter(), b_map, |a, b| *a == b);
+
+ assert!(match diff {
+ Some(it::Diff::Longer(_, remaining)) => remaining.collect::<Vec<_>>() == vec![5, 6],
+ _ => false,
+ });
+}
+
+#[test]
+fn diff_shorter() {
+ let a = [1, 2, 3, 4];
+ let b = vec![1.0, 2.0];
+ let b_map = b.into_iter().map(|f| f as i32);
+ let diff = it::diff_with(a.iter(), b_map, |a, b| *a == b);
+
+ assert!(match diff {
+ Some(it::Diff::Shorter(len, _)) => len == 2,
+ _ => false,
+ });
+}
+
+#[test]
+fn extrema_set() {
+ use std::cmp::Ordering;
+
+ // A peculiar type: Equality compares both tuple items, but ordering only the
+ // first item. Used to distinguish equal elements.
+ #[derive(Clone, Debug, PartialEq, Eq)]
+ struct Val(u32, u32);
+
+ impl PartialOrd<Self> for Val {
+ fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
+ Some(self.cmp(other))
+ }
+ }
+
+ impl Ord for Val {
+ fn cmp(&self, other: &Self) -> Ordering {
+ self.0.cmp(&other.0)
+ }
+ }
+
+ assert_eq!(None::<u32>.iter().min_set(), Vec::<&u32>::new());
+ assert_eq!(None::<u32>.iter().max_set(), Vec::<&u32>::new());
+
+ assert_eq!(Some(1u32).iter().min_set(), vec![&1]);
+ assert_eq!(Some(1u32).iter().max_set(), vec![&1]);
+
+ let data = [Val(0, 1), Val(2, 0), Val(0, 2), Val(1, 0), Val(2, 1)];
+
+ let min_set = data.iter().min_set();
+ assert_eq!(min_set, vec![&Val(0, 1), &Val(0, 2)]);
+
+ let min_set_by_key = data.iter().min_set_by_key(|v| v.1);
+ assert_eq!(min_set_by_key, vec![&Val(2, 0), &Val(1, 0)]);
+
+ let min_set_by = data.iter().min_set_by(|x, y| x.1.cmp(&y.1));
+ assert_eq!(min_set_by, vec![&Val(2, 0), &Val(1, 0)]);
+
+ let max_set = data.iter().max_set();
+ assert_eq!(max_set, vec![&Val(2, 0), &Val(2, 1)]);
+
+ let max_set_by_key = data.iter().max_set_by_key(|v| v.1);
+ assert_eq!(max_set_by_key, vec![&Val(0, 2)]);
+
+ let max_set_by = data.iter().max_set_by(|x, y| x.1.cmp(&y.1));
+ assert_eq!(max_set_by, vec![&Val(0, 2)]);
+}
+
+#[test]
+fn minmax() {
+ use crate::it::MinMaxResult;
+ use std::cmp::Ordering;
+
+ // A peculiar type: Equality compares both tuple items, but ordering only the
+ // first item. This is so we can check the stability property easily.
+ #[derive(Clone, Debug, PartialEq, Eq)]
+ struct Val(u32, u32);
+
+ impl PartialOrd<Self> for Val {
+ fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
+ Some(self.cmp(other))
+ }
+ }
+
+ impl Ord for Val {
+ fn cmp(&self, other: &Self) -> Ordering {
+ self.0.cmp(&other.0)
+ }
+ }
+
+ assert_eq!(
+ None::<Option<u32>>.iter().minmax(),
+ MinMaxResult::NoElements
+ );
+
+ assert_eq!(Some(1u32).iter().minmax(), MinMaxResult::OneElement(&1));
+
+ let data = [Val(0, 1), Val(2, 0), Val(0, 2), Val(1, 0), Val(2, 1)];
+
+ let minmax = data.iter().minmax();
+ assert_eq!(minmax, MinMaxResult::MinMax(&Val(0, 1), &Val(2, 1)));
+
+ let (min, max) = data.iter().minmax_by_key(|v| v.1).into_option().unwrap();
+ assert_eq!(min, &Val(2, 0));
+ assert_eq!(max, &Val(0, 2));
+
+ let (min, max) = data
+ .iter()
+ .minmax_by(|x, y| x.1.cmp(&y.1))
+ .into_option()
+ .unwrap();
+ assert_eq!(min, &Val(2, 0));
+ assert_eq!(max, &Val(0, 2));
+}
+
+#[test]
+fn format() {
+ let data = [0, 1, 2, 3];
+ let ans1 = "0, 1, 2, 3";
+ let ans2 = "0--1--2--3";
+
+ let t1 = format!("{}", data.iter().format(", "));
+ assert_eq!(t1, ans1);
+ let t2 = format!("{:?}", data.iter().format("--"));
+ assert_eq!(t2, ans2);
+
+ let dataf = [1.1, 5.71828, -22.];
+ let t3 = format!("{:.2e}", dataf.iter().format(", "));
+ assert_eq!(t3, "1.10e0, 5.72e0, -2.20e1");
+}
+
+#[test]
+fn while_some() {
+ let ns = (1..10)
+ .map(|x| if x % 5 != 0 { Some(x) } else { None })
+ .while_some();
+ it::assert_equal(ns, vec![1, 2, 3, 4]);
+}
+
+#[test]
+fn fold_while() {
+ let mut iterations = 0;
+ let vec = vec![1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
+ let sum = vec
+ .into_iter()
+ .fold_while(0, |acc, item| {
+ iterations += 1;
+ let new_sum = acc + item;
+ if new_sum <= 20 {
+ FoldWhile::Continue(new_sum)
+ } else {
+ FoldWhile::Done(acc)
+ }
+ })
+ .into_inner();
+ assert_eq!(iterations, 6);
+ assert_eq!(sum, 15);
+}
+
+#[test]
+fn tree_reduce() {
+ let x = [
+ "",
+ "0",
+ "0 1 x",
+ "0 1 x 2 x",
+ "0 1 x 2 3 x x",
+ "0 1 x 2 3 x x 4 x",
+ "0 1 x 2 3 x x 4 5 x x",
+ "0 1 x 2 3 x x 4 5 x 6 x x",
+ "0 1 x 2 3 x x 4 5 x 6 7 x x x",
+ "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 x",
+ "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 9 x x",
+ "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 9 x 10 x x",
+ "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 9 x 10 11 x x x",
+ "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 9 x 10 11 x x 12 x x",
+ "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 9 x 10 11 x x 12 13 x x x",
+ "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 9 x 10 11 x x 12 13 x 14 x x x",
+ "0 1 x 2 3 x x 4 5 x 6 7 x x x 8 9 x 10 11 x x 12 13 x 14 15 x x x x",
+ ];
+ for (i, &s) in x.iter().enumerate() {
+ let expected = if s.is_empty() {
+ None
+ } else {
+ Some(s.to_string())
+ };
+ let num_strings = (0..i).map(|x| x.to_string());
+ let actual = num_strings.tree_reduce(|a, b| format!("{} {} x", a, b));
+ assert_eq!(actual, expected);
+ }
+}
+
+#[test]
+fn exactly_one_question_mark_syntax_works() {
+ exactly_one_question_mark_return().unwrap_err();
+}
+
+fn exactly_one_question_mark_return() -> Result<(), ExactlyOneError<std::slice::Iter<'static, ()>>>
+{
+ [].iter().exactly_one()?;
+ Ok(())
+}
+
+#[test]
+fn multiunzip() {
+ let (a, b, c): (Vec<_>, Vec<_>, Vec<_>) = [(0, 1, 2), (3, 4, 5), (6, 7, 8)]
+ .iter()
+ .cloned()
+ .multiunzip();
+ assert_eq!((a, b, c), (vec![0, 3, 6], vec![1, 4, 7], vec![2, 5, 8]));
+ let (): () = [(), (), ()].iter().cloned().multiunzip();
+ #[allow(clippy::type_complexity)]
+ let t: (
+ Vec<_>,
+ Vec<_>,
+ Vec<_>,
+ Vec<_>,
+ Vec<_>,
+ Vec<_>,
+ Vec<_>,
+ Vec<_>,
+ Vec<_>,
+ Vec<_>,
+ Vec<_>,
+ Vec<_>,
+ ) = [(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11)]
+ .iter()
+ .cloned()
+ .multiunzip();
+ assert_eq!(
+ t,
+ (
+ vec![0],
+ vec![1],
+ vec![2],
+ vec![3],
+ vec![4],
+ vec![5],
+ vec![6],
+ vec![7],
+ vec![8],
+ vec![9],
+ vec![10],
+ vec![11]
+ )
+ );
+}
diff --git a/vendor/itertools/tests/tuples.rs b/vendor/itertools/tests/tuples.rs
new file mode 100644
index 00000000..9fc8b3cc
--- /dev/null
+++ b/vendor/itertools/tests/tuples.rs
@@ -0,0 +1,86 @@
+use itertools::Itertools;
+
+#[test]
+fn tuples() {
+ let v = [1, 2, 3, 4, 5];
+ let mut iter = v.iter().cloned().tuples();
+ assert_eq!(Some((1,)), iter.next());
+ assert_eq!(Some((2,)), iter.next());
+ assert_eq!(Some((3,)), iter.next());
+ assert_eq!(Some((4,)), iter.next());
+ assert_eq!(Some((5,)), iter.next());
+ assert_eq!(None, iter.next());
+ assert_eq!(None, iter.into_buffer().next());
+
+ let mut iter = v.iter().cloned().tuples();
+ assert_eq!(Some((1, 2)), iter.next());
+ assert_eq!(Some((3, 4)), iter.next());
+ assert_eq!(None, iter.next());
+ itertools::assert_equal(vec![5], iter.into_buffer());
+
+ let mut iter = v.iter().cloned().tuples();
+ assert_eq!(Some((1, 2, 3)), iter.next());
+ assert_eq!(None, iter.next());
+ itertools::assert_equal(vec![4, 5], iter.into_buffer());
+
+ let mut iter = v.iter().cloned().tuples();
+ assert_eq!(Some((1, 2, 3, 4)), iter.next());
+ assert_eq!(None, iter.next());
+ itertools::assert_equal(vec![5], iter.into_buffer());
+}
+
+#[test]
+fn tuple_windows() {
+ let v = [1, 2, 3, 4, 5];
+
+ let mut iter = v.iter().cloned().tuple_windows();
+ assert_eq!(Some((1,)), iter.next());
+ assert_eq!(Some((2,)), iter.next());
+ assert_eq!(Some((3,)), iter.next());
+
+ let mut iter = v.iter().cloned().tuple_windows();
+ assert_eq!(Some((1, 2)), iter.next());
+ assert_eq!(Some((2, 3)), iter.next());
+ assert_eq!(Some((3, 4)), iter.next());
+ assert_eq!(Some((4, 5)), iter.next());
+ assert_eq!(None, iter.next());
+
+ let mut iter = v.iter().cloned().tuple_windows();
+ assert_eq!(Some((1, 2, 3)), iter.next());
+ assert_eq!(Some((2, 3, 4)), iter.next());
+ assert_eq!(Some((3, 4, 5)), iter.next());
+ assert_eq!(None, iter.next());
+
+ let mut iter = v.iter().cloned().tuple_windows();
+ assert_eq!(Some((1, 2, 3, 4)), iter.next());
+ assert_eq!(Some((2, 3, 4, 5)), iter.next());
+ assert_eq!(None, iter.next());
+
+ let v = [1, 2, 3];
+ let mut iter = v.iter().cloned().tuple_windows::<(_, _, _, _)>();
+ assert_eq!(None, iter.next());
+}
+
+#[test]
+fn next_tuple() {
+ let v = [1, 2, 3, 4, 5];
+ let mut iter = v.iter();
+ assert_eq!(iter.next_tuple().map(|(&x, &y)| (x, y)), Some((1, 2)));
+ assert_eq!(iter.next_tuple().map(|(&x, &y)| (x, y)), Some((3, 4)));
+ assert_eq!(iter.next_tuple::<(_, _)>(), None);
+}
+
+#[test]
+fn collect_tuple() {
+ let v = [1, 2];
+ let iter = v.iter().cloned();
+ assert_eq!(iter.collect_tuple(), Some((1, 2)));
+
+ let v = [1];
+ let iter = v.iter().cloned();
+ assert_eq!(iter.collect_tuple::<(_, _)>(), None);
+
+ let v = [1, 2, 3];
+ let iter = v.iter().cloned();
+ assert_eq!(iter.collect_tuple::<(_, _)>(), None);
+}
diff --git a/vendor/itertools/tests/zip.rs b/vendor/itertools/tests/zip.rs
new file mode 100644
index 00000000..daed31e3
--- /dev/null
+++ b/vendor/itertools/tests/zip.rs
@@ -0,0 +1,56 @@
+use itertools::multizip;
+use itertools::EitherOrBoth::{Both, Left, Right};
+use itertools::Itertools;
+
+#[test]
+fn zip_longest_fused() {
+ let a = [Some(1), None, Some(3), Some(4)];
+ let b = [1, 2, 3];
+
+ let unfused = a
+ .iter()
+ .batching(|it| *it.next().unwrap())
+ .zip_longest(b.iter().cloned());
+ itertools::assert_equal(unfused, vec![Both(1, 1), Right(2), Right(3)]);
+}
+
+#[test]
+fn test_zip_longest_size_hint() {
+ let c = (1..10).cycle();
+ let v: &[_] = &[0, 1, 2, 3, 4, 5, 6, 7, 8, 9];
+ let v2 = &[10, 11, 12];
+
+ assert_eq!(c.zip_longest(v.iter()).size_hint(), (usize::MAX, None));
+
+ assert_eq!(v.iter().zip_longest(v2.iter()).size_hint(), (10, Some(10)));
+}
+
+#[test]
+fn test_double_ended_zip_longest() {
+ let xs = [1, 2, 3, 4, 5, 6];
+ let ys = [1, 2, 3, 7];
+ let a = xs.iter().copied();
+ let b = ys.iter().copied();
+ let mut it = a.zip_longest(b);
+ assert_eq!(it.next(), Some(Both(1, 1)));
+ assert_eq!(it.next(), Some(Both(2, 2)));
+ assert_eq!(it.next_back(), Some(Left(6)));
+ assert_eq!(it.next_back(), Some(Left(5)));
+ assert_eq!(it.next_back(), Some(Both(4, 7)));
+ assert_eq!(it.next(), Some(Both(3, 3)));
+ assert_eq!(it.next(), None);
+}
+
+#[test]
+fn test_double_ended_zip() {
+ let xs = [1, 2, 3, 4, 5, 6];
+ let ys = [1, 2, 3, 7];
+ let a = xs.iter().copied();
+ let b = ys.iter().copied();
+ let mut it = multizip((a, b));
+ assert_eq!(it.next_back(), Some((4, 7)));
+ assert_eq!(it.next_back(), Some((3, 3)));
+ assert_eq!(it.next_back(), Some((2, 2)));
+ assert_eq!(it.next_back(), Some((1, 1)));
+ assert_eq!(it.next_back(), None);
+}