AttackPointOptimizer

digraph InheritanceGraph { graph [bgcolor=transparent, color=lightsteelblue2, fontname=Arial, fontsize=10, outputorder=edgesfirst, overlap=prism, penwidth=2, rankdir=LR, splines=spline, style="dashed, rounded", truecolor=true]; node [colorscheme=pastel19, fontname=Arial, fontsize=10, height=0, penwidth=2, shape=box, style="filled, rounded", width=0]; edge [color=lightslategrey, penwidth=1]; subgraph "cluster_abjad.system" { graph [label="abjad.system"]; node [color=1]; "abjad.system.AbjadObject.AbjadObject" [URL="../api/abjadext/nauert/../../abjad/system/AbjadObject.html#abjad.system.AbjadObject.AbjadObject", label="Abjad\nObject", target=_top]; } subgraph "cluster_abjadext.nauert" { graph [label="abjadext.nauert"]; node [color=2]; "abjadext.nauert.AttackPointOptimizer.AttackPointOptimizer" [URL="../api/abjadext/nauert/AttackPointOptimizer.html#abjadext.nauert.AttackPointOptimizer.AttackPointOptimizer", color=black, fontcolor=white, label="Attack\nPoint\nOptimizer", shape=oval, style="bold, filled", target=_top]; "abjadext.nauert.MeasurewiseAttackPointOptimizer.MeasurewiseAttackPointOptimizer" [URL="../api/abjadext/nauert/MeasurewiseAttackPointOptimizer.html#abjadext.nauert.MeasurewiseAttackPointOptimizer.MeasurewiseAttackPointOptimizer", label="Measurewise\nAttack\nPoint\nOptimizer", target=_top]; "abjadext.nauert.NaiveAttackPointOptimizer.NaiveAttackPointOptimizer" [URL="../api/abjadext/nauert/NaiveAttackPointOptimizer.html#abjadext.nauert.NaiveAttackPointOptimizer.NaiveAttackPointOptimizer", label="Naive\nAttack\nPoint\nOptimizer", target=_top]; "abjadext.nauert.NullAttackPointOptimizer.NullAttackPointOptimizer" [URL="../api/abjadext/nauert/NullAttackPointOptimizer.html#abjadext.nauert.NullAttackPointOptimizer.NullAttackPointOptimizer", label="Null\nAttack\nPoint\nOptimizer", target=_top]; "abjadext.nauert.AttackPointOptimizer.AttackPointOptimizer" -> "abjadext.nauert.MeasurewiseAttackPointOptimizer.MeasurewiseAttackPointOptimizer"; "abjadext.nauert.AttackPointOptimizer.AttackPointOptimizer" -> "abjadext.nauert.NaiveAttackPointOptimizer.NaiveAttackPointOptimizer"; "abjadext.nauert.AttackPointOptimizer.AttackPointOptimizer" -> "abjadext.nauert.NullAttackPointOptimizer.NullAttackPointOptimizer"; } subgraph cluster_builtins { graph [label=builtins]; node [color=3]; "builtins.object" [URL="https://docs.python.org/3.6/library/functions.html#object", label=object, target=_top]; } "abjad.system.AbjadObject.AbjadObject" -> "abjadext.nauert.AttackPointOptimizer.AttackPointOptimizer"; "builtins.object" -> "abjad.system.AbjadObject.AbjadObject"; }

abstract class abjadext.nauert.AttackPointOptimizer.AttackPointOptimizer

Abstract attack-point optimizer.

Attack-point optimizers may alter the number, order, and individual durations of leaves in a logical tie, but may not alter the overall duration of that logical tie.

They effectively “clean up” notation, post-quantization.


Attributes Summary

__call__ Calls attack-point optimizer.

Special methods

abstract __call__(argument)

Calls attack-point optimizer.

(AbjadObject).__format__(format_specification='')

Formats Abjad object.

Set format_specification to '' or 'storage'. Interprets '' equal to 'storage'.

Returns string.

(AbjadObject).__repr__()

Gets interpreter representation of Abjad object.

Returns string.