indicators

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Classes

Harmonics	Encoding and attaching harmonics.
Indicator	Indicator base class.

class pang.indicators.Harmonics

Encoding and attaching harmonics.

>>> instances = [0, 1, 2, 3]
>>> durations = [1, 1, 0.5, 0.5]
>>> pitches = [0, 0, (0, 12), 0]
>>> sound_points_generator = pang.ManualSoundPointsGenerator(
...     instances=instances,
...     durations=durations,
...     pitches=pitches,
... )
>>> sequence = pang.Sequence(
...     sound_points_generator=sound_points_generator,
... )
>>> for event in sequence:
...     harmonics = pang.Harmonics()
...     pang.attach(harmonics, event)
... 
>>> sequence.simulate_queue()
>>> server = sequence.servers[0]
>>> q_event_sequence = server.q_event_sequence
>>> quantizer = nauert.Quantizer()
>>> optimizer = nauert.MeasurewiseAttackPointOptimizer()
>>> result = quantizer(q_event_sequence, attack_point_optimizer=optimizer)
>>> pang.decode(result)
>>> abjad.show(result)  

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Attributes Summary

__call__	Call self as a function.
id

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Special methods

overridden __call__(client)

Call self as a function.

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Read-only properties

id

class pang.indicators.Indicator

Indicator base class. This is to support attaching indicators before quantizing using Nauert.

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Enumerations

IndicatorID

An enumeration.

class pang.indicators.IndicatorID(value)

An enumeration.

HARMONICS = 1000

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Functions

attach	Attaching an indicator to an event.
decode
decode_one_leaf

pang.indicators.attach(indicator, event)

Attaching an indicator to an event.

>>> instances = [0, 1, 2, 3]
>>> durations = [1, 1, 0.5, 0.5]
>>> sound_points_generator = pang.ManualSoundPointsGenerator(
...     instances=instances,
...     durations=durations,
... )
>>> sequence = pang.Sequence(
...     sound_points_generator=sound_points_generator,
... )
>>> for event in sequence:
...     harmonics = pang.Harmonics()
...     pang.attach(harmonics, event)
... 
>>> print(sequence.pitches)
[(0, 1000), (0, 1000), (0, 1000), (0, 1000)]

pang.indicators.decode(client)

pang.indicators.decode_one_leaf(leaf)