Hocketer

class auxjad.Hocketer(contents: abjad.score.Container, *, n_voices: int = 2, pitch_ranges: Optional[list] = None, weights: Optional[list] = None, k: int = 1, force_k_voices: bool = False, explode_chords: bool = False, disable_rewrite_meter: bool = False, use_multimeasure_rests: bool = True, omit_time_signatures: bool = False, boundary_depth: Optional[int] = None, maximum_dot_count: Optional[int] = None, rewrite_tuplets: bool = True, prettify_rewrite_meter: bool = True, extract_trivial_tuplets: bool = True, fuse_across_groups_of_beats: bool = True, fuse_quadruple_meter: bool = True, fuse_triple_meter: bool = True)

A hocket generator that takes an abjad.Container (or child class) as input and randomly distributes its logical ties among different staves.

Basic usage:

Calling the object will return a tuple of abjad.Selection generated by the hocket process and ready to be assigned to an abjad.Score. Each call will generate a new random hocket from the input container.

>>> container = abjad.Container(r"c'4 d'4 e'4 f'4")
>>> abjad.show(container)

>>> hocketer = auxjad.Hocketer(container)
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

Indexing:

Alternatively, it is possible to retrieve an abjad.Selection for each individual voice generated by the process by indexing or slicing the the object itself. In the case below, the hocket process is invoked in the third line, and the individual selections are retrieved in the loop.

>>> container = abjad.Container(r"c'4 d'4 e'4 f'4")
>>> hocketer = auxjad.Hocketer(container, n_voices=5, k=3)
>>> hocketer()
>>> score = abjad.Score()
>>> for selection in hocketer[:]:
...     staff = abjad.Staff(selection)
...     score.append(staff)
>>> abjad.show(score)

Individual staves can also be retrieved as shown below.

>>> staff = abjad.Staff(hocketer[0])
>>> abjad.show(staff)

>>> partial_score = abjad.Score()
>>> for selection in hocketer[1:4]:
...     staff = abjad.Staff(selection)
...     partial_score.append(selection)
>>> abjad.show(partial_score)

current_window:

To get the result of the last operation, use the property current_window.

>>> container = abjad.Container(r"c'4 d'4 e'4 f'4")
>>> hocketer = auxjad.Hocketer(container)
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

>>> music = hocketer.current_window
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

Arguments and properties:

This class has many keyword arguments, all of which can be altered after instantiation using properties with the same names as shown below. weights set the individual weight of a given voice (must be a list of length equal to n_voices). k defines the number of times that the process is applied to each logical tie. Setting force_k_voices to True ensure that a single logical tie is distributed to exactly k voices. Setting explode_chords to True will distribute individual pitches from chords into unique voices. pitch_ranges defines the pitch range of each voice; it takes a list of abjad.PitchRange’s. disable_rewrite_meter disables the abjad.Meter.rewrite_meter() mutation which is applied to the container after every call. Any measure filled with rests will be rewritten using a multi-measure rest; set the use_multimeasure_rests to False to disable this behaviour. The properties boundary_depth, maximum_dot_count, and rewrite_tuplets are passed as arguments to abjad.Meter.rewrite_meter(), see its documentation for more information. Setting the property omit_time_signatures to True will remove all time signatures from the output (False by default).

>>> container = abjad.Container(r"\time 3/4 c'4 d'4 e'4 | f'4 g'4 a'4")
>>> hocketer = auxjad.Hocketer(container,
...                            n_voices=3,
...                            weights=[1, 2, 5],
...                            k=2,
...                            force_k_voices=True,
...                            explode_chords=True,
...                            pitch_ranges=[
...                                abjad.PitchRange("[C4, D6]"),
...                                abjad.PitchRange("[C2, A4]"),
...                                abjad.PitchRange("[C1, E3]"),
...                            ],
...                            disable_rewrite_meter=True,
...                            use_multimeasure_rests=False,
...                            omit_time_signatures=True,
...                            boundary_depth=0,
...                            maximum_dot_count=1,
...                            rewrite_tuplets=False,
...                            )
>>> hocketer.n_voices
3
>>> hocketer.weights
[1, 2, 5]
>>> hocketer.k
2
>>> hocketer.force_k_voices
True
>>> hocketer.explode_chords
True
>>> hocketer.pitch_ranges
[PitchRange('[C4, D6]'), PitchRange('[C2, A4]'),
PitchRange('[C1, E3]')]
>>> hocketer.disable_rewrite_meter
True
>>> not hocketer.use_multimeasure_rests
False
>>> hocketer.omit_time_signatures
True
>>> hocketer.boundary_depth
0
>>> hocketer.maximum_dot_count
1
>>> hocketer.rewrite_tuplets
False

Use the properties below to change these values after initialisation.

>>> hocketer.n_voices = 5
>>> hocketer.weights = [1, 1, 1, 2, 7]
>>> hocketer.k = 3
>>> hocketer.force_k_voices = False
>>> hocketer.explode_chords = False
>>> hocketer.pitch_ranges = None
>>> hocketer.disable_rewrite_meter = False
>>> hocketer.use_multimeasure_rests = True
>>> hocketer.omit_time_signatures = False
>>> hocketer.boundary_depth = 1
>>> hocketer.maximum_dot_count = 2
>>> hocketer.rewrite_tuplets = True
>>> hocketer.n_voices
5
>>> hocketer.weights
[1, 1, 1, 2, 7]
>>> hocketer.k
3
>>> not hocketer.force_k_voices
False
>>> hocketer.explode_chords
False
>>> hocketer.pitch_ranges
None
>>> not hocketer.disable_rewrite_meter
False
>>> hocketer.use_multimeasure_rests
True
>>> hocketer.omit_time_signatures
False
>>> hocketer.boundary_depth
1
>>> hocketer.maximum_dot_count
2
>>> hocketer.rewrite_tuplets
True

n_voices:

Use the optional argument n_voices to set the number of different staves in the output (default is 2).

>>> container = abjad.Container(r"c'8 d'8 e'8 f'8 g'8 a'8 b'8 c''8")
>>> hocketer = auxjad.Hocketer(container, n_voices=3)
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

len():

Applying the len() function to the hocketer will return the current number of voices to be output by the hocketer.

>>> container = abjad.Container(r"c'4 d'4 e'4 f'4 ~ | f'2 g'2")
>>> hocketer = auxjad.Hocketer(container, n_voices=7)
>>> len(hocketer)
6

pitch_ranges:

The property pitch_ranges defines the pitch range of each voice. It takes a list of abjad.PitchRange’s.

>>> container = abjad.Container(r"c' d' e f' g a' b' c''")
>>> hocketer = auxjad.Hocketer(container,
...                            n_voices=3,
...                            pitch_ranges=[
...                                abjad.PitchRange("[C4, C5]"),
...                                abjad.PitchRange("[C4, C5]"),
...                                abjad.PitchRange("[C3, B3]"),
...                            ],
...                            )
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.attach(abjad.Clef('bass'), abjad.select(score[2]).leaf(0))
>>> abjad.show(score)

Note that changing n_voices will reset pitch_ranges:

>>> container = abjad.Container(
...     r"\time 3/4 c'4 d'4 e'4 \time 2/4 f'4 g'4"
... )
>>> hocketer = auxjad.Hocketer(container,
...                            n_voices=3,
...                            pitch_ranges=[
...                                abjad.PitchRange("[C4, D6]"),
...                                abjad.PitchRange("[C2, A4]"),
...                                abjad.PitchRange("[C1, E3]"),
...                            ],
...                            )
>>> hocketer.pitch_ranges
[PitchRange("[C4, D6]"), PitchRange("[C2, A4]"),
PitchRange("[C1, E3]")]         ]
>>> hocketer.n_voices = 4
>>> hocketer.pitch_ranges
None

weights:

Set weights to a list of numbers (either float or int) to give different weights to each voice. By default, all voices have equal weight. The list in weights must have the same length as the number of voices. In the example below, weights is a list of length 2 (matching the default two voices). The second voice has a higher weight to it, and receives more notes from the hocket process as expected.

>>> container = abjad.Container(r"c'8 d'8 e'8 f'8 g'8 a'8 b'8 c''8")
>>> hocketer = auxjad.Hocketer(container,
...                            weights=[2.1, 5.7],
...                            )
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

Use the method reset_weights() to reset the weights back to their default values.

>>> container = abjad.Container(r"c'8 d'8 e'8 f'8 g'8 a'8 b'8 c''8")
>>> hocketer = auxjad.Hocketer(container,
...                            weights=[2.1, 5.7],
...                            )
>>> hocketer.weights
[2.1, 5.7]
>>> hocketer.reset_weights()
>>> hocketer.weights
[1.0, 1.0]

k:

The argument k is an int defining the number of times that the process is applied to each logical tie. By default, k is set to 1, so each logical tie is assigned to a single voice. Changing this to a higher value will increase the chance of a logical tie appearing for up to k different voices.

>>> container = abjad.Container(r"c'4 d'4 e'4 f'4")
>>> hocketer = auxjad.Hocketer(container, n_voices=4, k=2)
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

force_k_voices:

It is important to note that changing k to a higher value does not guarantee each logical tie will appear in k different voices. By default, k only defines how many times each logical tie is processed by the hocket process, which may select the same voice more than once. To ensure that each logical tie appears in k unique voices, set the optional keyword argument force_k_voices to True as shown below.

>>> container = abjad.Container(r"c'8 d'8 e'8 f'8 g'8 a'8 b'8 c''8")
>>> hocketer = auxjad.Hocketer(container,
...                            n_voices=3,
...                            k=2,
...                            force_k_voices=True,
...                            )
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

Error

Setting force_k_voices to True when k is larger than n_voices will raise a ValueError exception:

>>> container = abjad.Container(r"c'8 d'8 e'8 f'8 g'8 a'8 b'8 c''8")
>>> hocketer = auxjad.Hocketer(container, n_voices=4, k=5)
>>> hocketer.force_k_voices = True
ValueError: 'force_k_voices' cannot be set to True if 'k' > 'n_voices',
change 'k' first

explode_chords:

If explode_chords is set to True, chords will not be considered as a single leaf to be distributed but rather as a collection of individual pitches, which are then distributed among the voices. Compare:

>>> container = abjad.Container(
...     r"<c' e' g'>4 <d' f' a'>4 <e' g' b'>4 <f' a' c'>4"
... )
>>> hocketer = auxjad.Hocketer(container,
...                            n_voices=3,
...                            )
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

>>> container = abjad.Container(
...     r"<c' e' g'>4 <d' f' a'>4 <e' g' b'>4 <f' a' c'>4"
... )
>>> hocketer = auxjad.Hocketer(container,
...                            n_voices=3,
...                            explode_chords=True,
...                            )
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

Note

It is very important to note that explode_chords does not take weights nor k in consideration. It does, however, take pitch_ranges into account:

>>> container = abjad.Container(
...     r"<c' e' g'>4 <d' f' a'>4 <e' g' b'>4 <f' a' c'>4"
... )
>>> hocketer = auxjad.Hocketer(container,
...                            n_voices=3,
...                            explode_chords=True,
...                            pitch_ranges=[
...                                abjad.PitchRange("[E4, C5]"),
...                                abjad.PitchRange("[E4, C5]"),
...                                abjad.PitchRange("[C4, F4]"),
...                            ],
...                            )
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

Warning

When setting explode_chords to True, if n_voices is less than the number of pitches in a chord then only the first n_voices-pitches will be considered in the distribution.

disable_rewrite_meter:

By default, this class uses the abjad.Meter.rewrite_meter() mutation, which is necessary for cleaning up the rests.

>>> container = abjad.Container(r"c'8 d'8 e'8 f'8 g'8 a'8 b'8 c''8")
>>> hocketer = auxjad.Hocketer(container)
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

Set disable_rewrite_meter to True in order to disable this behaviour.

>>> container = abjad.Container(r"c'8 d'8 e'8 f'8 g'8 a'8 b'8 c''8")
>>> hocketer = auxjad.Hocketer(container,
...                            disable_rewrite_meter=True,
...                            )
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

use_multimeasure_rests:

By default, this class rewrites all measures that are filled with rests, replacing the rests by a multi-measure rest.

>>> container = abjad.Container(r"\time 3/4 c'4 d'4 e'4 f'4 g'4 a'4")
>>> hocketer = auxjad.Hocketer(container)
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

Set use_multimeasure_rests to False to disable this behaviour.

>>> container = abjad.Container(r"\time 3/4 c'4 d'4 e'4 f'4 g'4 a'4")
>>> hocketer = auxjad.Hocketer(container,
...                            use_multimeasure_rests=False,
...                            )
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

contents:

Use the property contents to get the input container upon which the hocketer operates. Notice that contents remains invariant after any shuffling or rotation operations (use current_window for the transformed selection of music). contents can be used to change the abjad.Container to be shuffled.

>>> container = abjad.Container(r"c'4 d'4 e'4 f'4")
>>> hocketer = auxjad.Hocketer(container)
>>> abjad.show(hocketer.contents)

>>> hocketer()
>>> abjad.show(hocketer.contents)

>>> hocketer.contents = abjad.Container(r"cs2 ds2")
>>> abjad.show(hocketer.contents)

Tweaking abjad.Meter.rewrite_meter():

This function uses the default logical tie splitting algorithm from abjad.Meter.rewrite_meter().

>>> container = abjad.Container(r"c'4. d'8 e'2")
>>> hocketer = auxjad.Hocketer(container,
...                            n_voices=1,
...                            )
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

Set boundary_depth to a different number to change its behaviour.

>>> hocketer = auxjad.Hocketer(container,
...                            n_voices=1,
...                            boundary_depth=1,
...                            )
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(staff)

Other arguments available for tweaking the output of abjad.Meter.rewrite_meter() are maximum_dot_count and rewrite_tuplets, which work exactly as the identically named arguments of abjad.Meter.rewrite_meter().

This class also accepts the arguments fuse_across_groups_of_beats, fuse_quadruple_meter, fuse_triple_meter, and extract_trivial_tuplets, which are passed on to auxjad.mutate.prettify_rewrite_meter() (the latter can be disabled by setting prettify_rewrite_meter to False). See the documentation of this function for more details on these arguments.

Time signature changes and nested tuplets:

This class can handle time signature changes as well as nested tuplets.

>>> container = abjad.Container(
...     r"\time 5/4 r4 \times 2/3 {c'4 d'2} e'4. f'8 "
...     r"\times 4/5 {\time 4/4 g'2. \times 2/3 {a'8 r8 b'2}}"
... )
>>> hocketer = auxjad.Hocketer(container,
...                            n_voices=4,
...                            k=2,
...                            )
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

omit_time_signatures:

To disable time signatures altogether, initialise this class with the keyword argument omit_time_signatures set to True (default is False), or use the omit_time_signatures property after initialisation. It is recommended to also set use_multimeasure_rests to False, as those are created according to the original time signatures.

>>> container = abjad.Container(r"\time 3/4 c'4 d'4 e'4 f'4 g'4 a'4")
>>> hocketer = auxjad.Hocketer(container,
...                            omit_time_signatures=True,
...                            use_multimeasure_rests=False,
...                            )
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

Indicators:

Dynamics and hairpins are supported.

>>> container = abjad.Container(
...     r"c'2-.\p\< d'2-.\f\> e'1 f'2.\pp\< g'4--\p "
...     r"a'2\ff\> b'2\p\> ~ b'2 c''2\ppp"
... )
>>> hocketer = auxjad.Hocketer(container,
...                            n_voices=3,
...                            k=2,
...                            force_k_voices=True,
...                            )
>>> music = hocketer()
>>> score = abjad.Score()
>>> for selection in music:
...     score.append(abjad.Staff(selection))
>>> abjad.show(score)

Tip

The functions auxjad.mutate.remove_repeated_dynamics() and auxjad.mutate.reposition_clefs() can be used to clean the output and remove repeated dynamics and unnecessary clef changes.

Warning

Do note that some elements that span multiple notes (such as ottava indicators, manual beams, etc.) can become problematic when notes containing them are split into two. As a rule of thumb, it is always better to attach those to the music after the fading process has ended.

Methods

__call__()	Calls the hocket process, returning a tuple of abjad.Selection.
__getitem__(key)	Returns one or more voices of the output of the hocketer through indexing or slicing.
__init__(contents, *[, n_voices, …])	Initialises self.
__len__()	Returns the number of voices of the hocketer.
__repr__()	Returns interpreter representation of contents.
reset_weights()	Resets the weight vector of all voices to an uniform distribution.

Attributes

boundary_depth	Sets the argument boundary_depth of abjad.Meter.rewrite_meter().
contents	The abjad.Container to be hocketed.
current_window	Read-only property, returns the result of the last operation as a tuple of abjad.Selection..
disable_rewrite_meter	When True, the durations of the notes in the output will not be rewritten by the abjad.Meter.rewrite_meter() mutation.
explode_chords	When True, the hocket process will consider each note of a chord individually, ‘exploding’ it into several voices.
extract_trivial_tuplets	Sets the argument extract_trivial_tuplets of auxjad.mutate.prettify_rewrite_meter().
force_k_voices	When True, the hocket process will ensure that each logical tie is distributed among k voices.
fuse_across_groups_of_beats	Sets the argument fuse_across_groups_of_beats of auxjad.mutate.prettify_rewrite_meter().
fuse_quadruple_meter	Sets the argument fuse_quadruple_meter of auxjad.mutate.prettify_rewrite_meter().
fuse_triple_meter	Sets the argument fuse_triple_meter of auxjad.mutate.prettify_rewrite_meter().
k	Number of random choice operations applied to a logical tie.
maximum_dot_count	Sets the argument maximum_dot_count of abjad.Meter.rewrite_meter().
n_voices	Number of individual voices in the output.
omit_time_signatures	When True, all time signatures will be omitted from the output.
pitch_ranges	List of tuples or lists for the pitch ranges of each voice.
prettify_rewrite_meter	Used to enable or disable the mutation auxjad.mutate.prettify_rewrite_meter() (default True).
rewrite_tuplets	Sets the argument rewrite_tuplets of abjad.Meter.rewrite_meter().
use_multimeasure_rests	When True, multi-measure rests will be used for silent measures.
weights	The list with weights for each voice.

__call__() → tuple

Calls the hocket process, returning a tuple of abjad.Selection.

__getitem__(key: int) → abjad.select.Selection

Returns one or more voices of the output of the hocketer through indexing or slicing.

__init__(contents: abjad.score.Container, *, n_voices: int = 2, pitch_ranges: Optional[list] = None, weights: Optional[list] = None, k: int = 1, force_k_voices: bool = False, explode_chords: bool = False, disable_rewrite_meter: bool = False, use_multimeasure_rests: bool = True, omit_time_signatures: bool = False, boundary_depth: Optional[int] = None, maximum_dot_count: Optional[int] = None, rewrite_tuplets: bool = True, prettify_rewrite_meter: bool = True, extract_trivial_tuplets: bool = True, fuse_across_groups_of_beats: bool = True, fuse_quadruple_meter: bool = True, fuse_triple_meter: bool = True) → None

Initialises self.

__len__() → int

Returns the number of voices of the hocketer.

__repr__() → str

Returns interpreter representation of contents.

property boundary_depth: Optional[int]

Sets the argument boundary_depth of abjad.Meter.rewrite_meter().

property contents: abjad.score.Container

The abjad.Container to be hocketed.

property current_window: Optional[tuple]

Read-only property, returns the result of the last operation as a tuple of abjad.Selection..

property disable_rewrite_meter: bool

When True, the durations of the notes in the output will not be rewritten by the abjad.Meter.rewrite_meter() mutation. Rests will have the same duration as the logical ties they replaced.

property explode_chords: bool

When True, the hocket process will consider each note of a chord individually, ‘exploding’ it into several voices.

property extract_trivial_tuplets: bool

Sets the argument extract_trivial_tuplets of auxjad.mutate.prettify_rewrite_meter().

property force_k_voices: bool

When True, the hocket process will ensure that each logical tie is distributed among k voices.

property fuse_across_groups_of_beats: bool

Sets the argument fuse_across_groups_of_beats of auxjad.mutate.prettify_rewrite_meter().

property fuse_quadruple_meter: bool

Sets the argument fuse_quadruple_meter of auxjad.mutate.prettify_rewrite_meter().

property fuse_triple_meter: bool

Sets the argument fuse_triple_meter of auxjad.mutate.prettify_rewrite_meter().

property k: int

Number of random choice operations applied to a logical tie.

property maximum_dot_count: Optional[int]

Sets the argument maximum_dot_count of abjad.Meter.rewrite_meter().

property n_voices: int

Number of individual voices in the output.

property omit_time_signatures: bool

When True, all time signatures will be omitted from the output.

property pitch_ranges: list

List of tuples or lists for the pitch ranges of each voice. Use the format:

[(min0, max0), (min1, max1), (min2, max2), …]

… where the indices are the voice numbers.

property prettify_rewrite_meter: bool

Used to enable or disable the mutation auxjad.mutate.prettify_rewrite_meter() (default True).

reset_weights() → None

Resets the weight vector of all voices to an uniform distribution.

property rewrite_tuplets: bool

Sets the argument rewrite_tuplets of abjad.Meter.rewrite_meter().

property use_multimeasure_rests: bool

When True, multi-measure rests will be used for silent measures.

property weights: list

The list with weights for each voice.