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Closes #18471: Fix typo in heapq documentation (reported by François Pinard).
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@ -246,7 +246,7 @@ A nice feature of this sort is that you can efficiently insert new items while
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the sort is going on, provided that the inserted items are not "better" than the
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the sort is going on, provided that the inserted items are not "better" than the
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last 0'th element you extracted. This is especially useful in simulation
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last 0'th element you extracted. This is especially useful in simulation
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contexts, where the tree holds all incoming events, and the "win" condition
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contexts, where the tree holds all incoming events, and the "win" condition
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means the smallest scheduled time. When an event schedule other events for
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means the smallest scheduled time. When an event schedules other events for
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execution, they are scheduled into the future, so they can easily go into the
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execution, they are scheduled into the future, so they can easily go into the
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heap. So, a heap is a good structure for implementing schedulers (this is what
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heap. So, a heap is a good structure for implementing schedulers (this is what
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I used for my MIDI sequencer :-).
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I used for my MIDI sequencer :-).
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