heuristics

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Abstract Classes

Heuristic

Abstract heuristic.

abstract class abjadext.nauert.heuristics.Heuristic

Abstract heuristic.

Heuristics rank Q-grids according to the criteria they encapsulate.

They provide the means by which the quantizer selects a single QGrid from all computed QGrids for any given QTargetBeat to represent that beat.

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Attributes Summary

__call__

Calls heuristic.

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Special methods

overridden __call__(q_target_beats: tuple[QTargetBeat, ...]) → tuple[QTargetBeat, ...]

Calls heuristic.

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Classes

DistanceHeuristic

Distance heuristic.

class abjadext.nauert.heuristics.DistanceHeuristic

Distance heuristic.

Considers only the computed distance of each QGrid and the number of leaves of that QGrid when choosing the optimal QGrid for a given QTargetBeat.

The QGrid with the smallest distance and fewest number of leaves will be selected.

>>> durations = [1000] * 8
>>> pitches = range(8)
>>> q_event_sequence = nauert.QEventSequence.from_millisecond_pitch_pairs(
...     tuple(zip(durations, pitches))
... )
>>> heuristic = nauert.DistanceHeuristic()
>>> result = nauert.quantize(q_event_sequence, heuristic=heuristic)
>>> abjad.show(result)  

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Special methods

(Heuristic).__call__(q_target_beats: tuple[QTargetBeat, ...]) → tuple[QTargetBeat, ...]

Calls heuristic.