Fix wrong big O star bracing in the doc comments · model-checking/verify-rust-std@0f6922d (original) (raw)
`@@ -2893,7 +2893,7 @@ impl [T] {
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`/// The current implementation is based on [ipnsort] by Lukas Bergdoll and Orson Peters, which
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`/// combines the fast average case of quicksort with the fast worst case of heapsort, achieving
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`/// linear time on fully sorted and reversed inputs. On inputs with k distinct elements, the
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``
`-
/// expected time to sort the data is O(n * log(k)).
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``
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`+
/// expected time to sort the data is O(n * log(k)).
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`///
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`/// It is typically faster than stable sorting, except in a few special cases, e.g., when the
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`/// slice is partially sorted.
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`@@ -2950,7 +2950,7 @@ impl [T] {
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`/// The current implementation is based on [ipnsort] by Lukas Bergdoll and Orson Peters, which
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`/// combines the fast average case of quicksort with the fast worst case of heapsort, achieving
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`/// linear time on fully sorted and reversed inputs. On inputs with k distinct elements, the
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``
`-
/// expected time to sort the data is O(n * log(k)).
`
``
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`+
/// expected time to sort the data is O(n * log(k)).
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`///
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`/// It is typically faster than stable sorting, except in a few special cases, e.g., when the
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`/// slice is partially sorted.
`
`@@ -2994,7 +2994,7 @@ impl [T] {
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`/// The current implementation is based on [ipnsort] by Lukas Bergdoll and Orson Peters, which
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`/// combines the fast average case of quicksort with the fast worst case of heapsort, achieving
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`/// linear time on fully sorted and reversed inputs. On inputs with k distinct elements, the
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``
`-
/// expected time to sort the data is O(n * log(k)).
`
``
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`+
/// expected time to sort the data is O(n * log(k)).
`
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`///
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`/// It is typically faster than stable sorting, except in a few special cases, e.g., when the
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`/// slice is partially sorted.
`