Module: Musa::Series::Operations

Defined in:
lib/musa-dsl/series/base-series.rb,
lib/musa-dsl/series/proxy-serie.rb,
lib/musa-dsl/series/queue-serie.rb,
lib/musa-dsl/series/timed-serie.rb,
lib/musa-dsl/series/buffer-serie.rb,
lib/musa-dsl/series/quantizer-serie.rb,
lib/musa-dsl/series/series-composer.rb,
lib/musa-dsl/series/main-serie-operations.rb,
lib/musa-dsl/series/hash-or-array-serie-splitter.rb

Overview

Series transformation operations for composing and modifying series.

Provides methods for transforming, combining, and controlling series flow. All operations return new series (functional/immutable style).

Categories

Mapping & Transformation

  • map - Transform values via block
  • with - Combine multiple series for mapping
  • process_with - Generic processor with parameters
  • hashify - Convert array values to hash
  • shift - Shift values by offset

Filtering & Selection

  • select - Keep values matching condition
  • remove - Remove values matching condition
  • skip - Skip first N values
  • max_size - Limit to N values
  • cut - Cut into chunks

Flow Control

  • repeat - Repeat series N times or conditionally
  • autorestart - Auto-restart when exhausted
  • flatten - Flatten nested series
  • merge - Merge serie of series
  • after / + - Append series sequentially

Switching & Multiplexing

  • switch - Switch between series based on selector
  • multiplex - Multiplex series based on selector
  • switch_serie - Switch to different series entirely

Structural Operations

  • reverse - Reverse values
  • randomize - Shuffle values randomly
  • lock - Lock serie (prevent changes)
  • flatten - Flatten nested series

Timing Operations

  • anticipate - Evaluate block one step ahead
  • lazy - Delay evaluation to next step

Usage Patterns

Mapping

notes = S(60, 64, 67).map { |n| n + 12 }  # Transpose octave
notes.i.to_a  # => [72, 76, 79]

Filtering

evens = S(1, 2, 3, 4, 5, 6).select { |n| n.even? }
evens.i.to_a  # => [2, 4, 6]

Combining

pitches = S(60, 64, 67)
velocities = S(96, 80, 64)
notes = pitches.with(velocities) { |p, v| {pitch: p, velocity: v} }

Repeating

pattern = S(1, 2, 3).repeat(3)
pattern.i.to_a  # => [1, 2, 3, 1, 2, 3, 1, 2, 3]

Chaining Operations

result = S(1, 2, 3, 4, 5)
  .select { |n| n.even? }
  .map { |n| n * 10 }
  .repeat(2)
result.i.to_a  # => [20, 40, 20, 40]

See Also:

Defined Under Namespace

Classes: ComposerAsOperationSerie, Processor

Instance Method Summary collapse

Instance Method Details

#+(other) ⇒ Sequence

Appends another serie (operator alias for after).

Examples:

Concatenate

s = S(1, 2) + S(3, 4)
s.i.to_a  # => [1, 2, 3, 4]

Parameters:

  • other (Serie) —

    serie to append

Returns:

  • (Sequence) —

    sequential combination



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 448

def +(other)
  Musa::Series::Constructors.MERGE self, other
end

#after(*series) ⇒ Sequence

Appends series sequentially.

Alias for MERGE - plays this serie, then others in sequence.

Examples:

Append

s = S(1, 2).after(S(3, 4), S(5, 6))
s.i.to_a  # => [1, 2, 3, 4, 5, 6]

Parameters:

Returns:

  • (Sequence) —

    sequential combination



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 433

def after(*series)
  Musa::Series::Constructors.MERGE self, *series
end

#anticipate {|current, next_value| ... } ⇒ Anticipate

Evaluates block one step ahead (anticipate).

Block receives current value and NEXT value (peeked). Enables look-ahead transformations and transitions.

Examples:

Smooth transitions

s = S(1, 5, 3, 8).anticipate { |current, next_val|
  next_val ? (current + next_val) / 2.0 : current
}

Add interval information

notes = S(60, 64, 67, 72).anticipate { |pitch, next_pitch|
  interval = next_pitch ? next_pitch - pitch : nil
  {pitch: pitch, interval: interval}
}

Yields:

  • anticipation block

Yield Parameters:

  • current (Object) —

    current value

  • next_value (Object, nil) —

    next value (nil if last)

Yield Returns:

  • (Object) —

    transformed value

Returns:

  • (Anticipate) —

    anticipating serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 608

def anticipate(&block)
  Anticipate.new self, &block
end

#autorestart ⇒ Autorestart

Note:

The serie ENDS at each pass -- yielding nil -- and restarts on the next call. That nil is the signal that a pass finished, which is what makes the repetition countable; it also means infinite? is false and that to_a stops at the end of the first pass. For a serie with no seam in it, use repeat.

Auto-restarts serie when exhausted.

Creates an infinite serie from an original serie that automatically restarts from beginning when it reaches the end.

Examples:

Restarting after each pass

pattern = S(1, 2, 3).autorestart
inst = pattern.i
10.times.map { inst.next_value }  # => [1, 2, 3, nil, 1, 2, 3, nil, 1, 2]

Returns:

  • (Autorestart) —

    auto-restarting serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 116

def autorestart
  Autorestart.new self
end

#buffered(sync: false) ⇒ BufferSerie, SyncBufferSerie

Creates a buffered serie allowing multiple independent iterations over same source.

Provides buffering mechanism enabling multiple "readers" to independently iterate over the same serie source without interfering with each other.

Buffering Modes

  • Async (default): Buffers fill independently, each progresses at own pace
  • Sync: All buffers synchronized, restart affects all

Use Cases

  • Multiple voices reading same melodic sequence at different speeds
  • Polyphonic playback from single source
  • Canonic structures (rounds, fugues)
  • Independent transformations of same base material

Memory Management

History is automatically cleaned when all buffers have progressed past old values, preventing unbounded memory growth.

Examples:

Create buffered serie

buffered = S(1, 2, 3, 4).buffered
reader1 = buffered.buffer.i
reader2 = buffered.buffer.i

Multiple independent readers

source = S(1, 2, 3, 4).buffered
reader1 = source.buffer.i
reader2 = source.buffer.i

reader1.next_value  # => 1
reader2.next_value  # => 1 (independent)
reader1.next_value  # => 2
reader2.next_value  # => 2

Canon structure

melody = S(60, 64, 67, 72).buffered
voice1 = melody.buffer
voice2 = melody.buffer
# Play voice2 delayed by N beats

Parameters:

  • sync (Boolean) (defaults to: false) —

    synchronized mode (default: false)

Returns:

  • (BufferSerie, SyncBufferSerie) —

    buffered serie



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# File 'lib/musa-dsl/series/buffer-serie.rb', line 51

def buffered(sync: false)
  if sync
    SyncBufferSerie.new(self)
  else
    BufferSerie.new(self)
  end
end

#compact_timed ⇒ TimedCompacter

Removes timed events where all values are nil.

Filters out temporal "gaps" where no sources have active values. Useful after union operations that create nil placeholders, or for cleaning sparse sequences.

Removal logic:

  • Direct nil: { time: t, value: nil } → removed
  • All-nil Hash: { time: t, value: { a: nil, b: nil } } → removed
  • Partial Hash: { time: t, value: { a: 1, b: nil } } → kept (has non-nil)
  • All-nil Array: { time: t, value: [nil, nil] } → removed
  • Partial Array: { time: t, value: [1, nil] } → kept (has non-nil)

Examples:

Remove direct nil events

s = S({ time: 0r, value: 1 },
      { time: 1r, value: nil },
      { time: 2r, value: 3 })

s.compact_timed.i.to_a
# => [{ time: 0r, value: 1 },
#     { time: 2r, value: 3 }]

Remove all-nil hash events

s = S({ time: 0r, value: { a: 1, b: 2 } },
      { time: 1r, value: { a: nil, b: nil } },
      { time: 2r, value: { a: 3, b: nil } })

s.compact_timed.i.to_a
# => [{ time: 0r, value: { a: 1, b: 2 } },
#     { time: 2r, value: { a: 3, b: nil } }]  # Kept: has non-nil 'a'

Clean sparse union results

s1 = S({ time: 0r, value: 1 }, { time: 2r, value: 3 })
s2 = S({ time: 1r, value: 10 })

union = TIMED_UNION(melody: s1, bass: s2).i.to_a
# => [{ time: 0r, value: { melody: 1, bass: nil } },
#     { time: 1r, value: { melody: nil, bass: 10 } },
#     { time: 2r, value: { melody: 3, bass: nil } }]

# All events have at least one non-nil, so none removed

Returns:

  • (TimedCompacter) —

    compacted serie

See Also:



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# File 'lib/musa-dsl/series/timed-serie.rb', line 580

def compact_timed
  TimedCompacter.new(self)
end

#composer { ... } ⇒ ComposerAsOperationSerie

Creates a composer transformation pipeline for complex multi-stage transformations.

Composer provides declarative DSL for building transformation pipelines with multiple inputs, outputs, and intermediate processing stages.

Composer Concepts

  • Pipelines: Named transformation chains
  • Inputs: Named input series (proxied and buffered)
  • Outputs: Named output series
  • Operations: Transformation steps in pipeline
  • Auto-commit: Automatic finalization of pipelines

DSL Structure

A pipeline is declared by NAMING it and listing its operations; the names are then wired together with route. Operations are symbols (reverse) or hashes ({ map: ... }, { skip: 1 }, { S: [...] }). input and output are pipelines like any other — they are simply the ones the Composer creates for you, and can be renamed or multiplied through the inputs: and outputs: keywords.

composer do
  stage1 operation1, operation2
  stage2 operation3

  route input, to: stage1
  route stage1, to: stage2
  route stage2, to: output
end

Musical Applications

  • Complex multi-voice processing
  • Effect chains and routing
  • Algorithmic composition pipelines
  • Multi-stage transformations
  • Modular synthesis-style routing

Examples:

Basic composer

s = S(1, 2, 3).composer do
  doubled({ map: ->(x) { x * 2 } })

  route input, to: doubled
  route doubled, to: output
end
s.i.to_a  # => [2, 4, 6]

Several stages in a row

s = S(1, 2, 3, 4, 5).composer do
  backwards reverse
  tail ({ skip: 1 })

  route input, to: backwards
  route backwards, to: tail
  route tail, to: output
end
s.i.to_a  # => [4, 3, 2, 1]

Several outputs

composer = Musa::Series::Composer::Composer.new(input: Musa::Series::Constructors.S(1, 2, 3),
                                                outputs: [:doubled, :tripled]) do
  step_d({ map: ->(x) { x * 2 } })
  step_t({ map: ->(x) { x * 3 } })

  route input, to: step_d
  route input, to: step_t
  route step_d, to: doubled
  route step_t, to: tripled
end
composer.output(:doubled).i.to_a  # => [2, 4, 6]
composer.output(:tripled).i.to_a  # => [3, 6, 9]

Yields:

  • composer DSL block

Returns:



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# File 'lib/musa-dsl/series/series-composer.rb', line 89

def composer(&block)
  ComposerAsOperationSerie.new(self, &block)
end

#cut(length) ⇒ Cutter

Cuts serie into chunks of specified length.

Returns a serie of SERIES, each yielding length values.

The chunks are series and not arrays, which is what keeps the whole thing lazy -- nothing is materialised until each chunk is consumed. Ask for the arrays explicitly with to_a(recursive: true).

Examples:

Cut into pairs

s = S(1, 2, 3, 4, 5, 6).cut(2)
s.i.to_a(recursive: true)  # => [[1, 2], [3, 4], [5, 6]]

Parameters:

  • length (Integer) —

    chunk size

Returns:

  • (Cutter) —

    chunked serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 469

def cut(length)
  Cutter.new self, length
end

#flatten ⇒ Flattener

Flattens nested series into single level.

Recursively consumes series elements that are themselves series.

Examples:

Flatten nested

s = S(S(1, 2), S(3, 4), 5).flatten
s.i.to_a  # => [1, 2, 3, 4, 5]

Returns:

  • (Flattener) —

    flattened serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 201

def flatten
  Flattener.new self
end

#flatten_timed ⇒ TimedFlattener

Splits compound timed values into individual timed events.

Converts events with Hash or Array values into separate timed events per element, preserving time and extra attributes. Direct values pass through unchanged.

Hash values → Hash of timed events (keyed by original keys):

{ time: 0, value: { a: 1, b: 2 }, velocity: { a: 80, b: 90 } }
# becomes:
{ a: { time: 0, value: 1, velocity: 80 },
  b: { time: 0, value: 2, velocity: 90 } }

Array values → Array of timed events (indexed):

{ time: 0, value: [1, 2], velocity: [80, 90] }
# becomes:
[{ time: 0, value: 1, velocity: 80 },
 { time: 0, value: 2, velocity: 90 }]

Direct values → Pass through unchanged (already flat)

Use Cases

  • Separate polyphonic events into individual voices
  • Split multi-track sequences for independent processing
  • Prepare for voice-specific routing via split
  • Enable per-voice filtering with compact_timed

Examples:

Hash values to individual voices

s = S({ time: 0r, value: { a: 60, b: 64 }, velocity: { a: 80, b: 90 } })

flat = s.flatten_timed.i
flat.next_value
# => { a: { time: 0r, value: 60, velocity: 80 },
#      b: { time: 0r, value: 64, velocity: 90 } }

Array values to indexed events

s = S({ time: 0r, value: [60, 64], velocity: [80, 90] })

flat = s.flatten_timed.i
flat.next_value
# => [{ time: 0r, value: 60, velocity: 80 },
#     { time: 0r, value: 64, velocity: 90 }]

Direct values pass through

s = S({ time: 0r, value: 60, velocity: 80 })

flat = s.flatten_timed.i
flat.next_value  # => { time: 0r, value: 60, velocity: 80 }

Returns:

  • (TimedFlattener) —

    flattened timed serie

See Also:



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# File 'lib/musa-dsl/series/timed-serie.rb', line 529

def flatten_timed
  TimedFlattener.new(self)
end

#hashify(*keys) ⇒ HashFromSeriesArray

Converts array values to hash with specified keys.

Takes array-valued serie and converts to hash using provided keys.

Examples:

Array to hash

s = S([60, 96], [64, 80]).hashify(:pitch, :velocity)
s.i.next_value  # => {pitch: 60, velocity: 96}

Parameters:

  • keys (Array) —

    hash keys for array elements

Returns:

  • (HashFromSeriesArray) —

    hashified serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 234

def hashify(*keys)
  HashFromSeriesArray.new self, keys
end

#lazy {|previous| ... } ⇒ LazySerieEval

Delays evaluation to next step (lazy evaluation).

Block receives previous value and evaluates for current step. Enables state-dependent transformations.

Examples:

Cumulative sum

s = S(1, 2, 3, 4).lazy { |prev| (prev || 0) + value }

Yields:

  • lazy evaluation block

Yield Parameters:

  • previous (Object, nil) —

    previous value

Yield Returns:

Returns:

  • (LazySerieEval) —

    lazy-evaluated serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 627

def lazy(&block)
  LazySerieEval.new self, &block
end

#lock ⇒ Locker

Locks serie preventing further modifications.

Returns locked copy that cannot be transformed further.

Returns:

  • (Locker) —

    locked serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 279

def lock
  Locker.new self
end

#map(isolate_values: nil) {|value| ... } ⇒ ProcessWith

Maps values via transformation block.

Simplest and most common transformation. Applies block to each value. Shorthand for with without additional series.

Examples:

Transpose notes

notes = S(60, 64, 67).map { |n| n + 12 }
notes.i.to_a  # => [72, 76, 79]

Transform to hash

s = S(1, 2, 3).map { |n| {value: n, squared: n**2} }

Parameters:

  • isolate_values (Boolean, nil) (defaults to: nil) —

    clone values to prevent mutation (default: false)

Yields:

  • transformation block

Yield Parameters:

  • value (Object) —

    current value

Yield Returns:

  • (Object) —

    transformed value

Returns:

  • (ProcessWith) —

    mapped serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 578

def map(isolate_values: nil, &block)
  isolate_values ||= isolate_values.nil? ? false : isolate_values

  ProcessWith.new self, isolate_values: isolate_values, &block
end

#max_size(length) ⇒ LengthLimiter

Limits serie to maximum number of values.

Stops after N values regardless of source length.

Examples:

Limit to 5

s = FOR(from: 0, step: 1).max_size(5)
s.i.to_a  # => [0, 1, 2, 3, 4]

Parameters:

  • length (Integer) —

    maximum number of values

Returns:

  • (LengthLimiter) —

    length-limited serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 169

def max_size(length)
  LengthLimiter.new self, length
end

#merge ⇒ MergeSerieOfSeries

Merges serie of series into single serie.

Flattens one level: consumes serie where each element is itself a serie, merging them sequentially.

Examples:

Merge phrases

phrases = S(S(1, 2, 3), S(4, 5, 6))
merged = phrases.merge
merged.i.to_a  # => [1, 2, 3, 4, 5, 6]

Returns:

  • (MergeSerieOfSeries) —

    merged serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 486

def merge
  MergeSerieOfSeries.new self
end

#multiplex(*indexed_series, **hash_series) ⇒ MultiplexSelector

Multiplexes values from multiple series based on selector.

Like switch but returns composite values instead of switching.

Parameters:

  • indexed_series (Array) —

    series to multiplex

  • hash_series (Hash) —

    series to multiplex by key

Returns:

  • (MultiplexSelector) —

    multiplexed serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 402

def multiplex(*indexed_series, **hash_series)
  MultiplexSelector.new self, indexed_series, hash_series
end

#process_with(**parameters) {|value, parameters| ... } ⇒ Processor

Processes values with parameterized block.

Generic processor passing values and parameters to block.

Parameters:

  • parameters (Hash) —

    parameters passed to processor block

Yields:

  • processor block

Yield Parameters:

  • value (Object) —

    current value

  • parameters (Hash) —

    processor parameters

Returns:



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 217

def process_with(**parameters, &processor)
  Processor.new self, parameters, &processor
end

#proxy ⇒ Object

TODO add test case



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# File 'lib/musa-dsl/series/proxy-serie.rb', line 260

def proxy
  Series::ProxySerie.new(self)
end

#quantize(reference: nil, step: nil, value_attribute: nil, stops: nil, predictive: nil, left_open: nil, right_open: nil) ⇒ RawQuantizer, PredictiveQuantizer

Quantizes time-value serie to discrete steps.

Quantization Modes

  • Raw: Rounds values to nearest step, interpolates between points
  • Predictive: Predicts crossings of quantization boundaries

Applications

  • Quantize MIDI controller data to discrete values
  • Convert continuous pitch bends to semitones
  • Snap timing to grid
  • Generate stepped automation curves
  • Convert analog input to digital steps

Examples:

Basic quantization

# Quantize to semitones. The events must carry the AbsTimed dataset:
# a bare hash of the same shape is not one and will not be processed.
pitch_bend = S({time: 0r, value: 60.3}.extend(Musa::Datasets::AbsTimed),
               {time: 1r, value: 61.8}.extend(Musa::Datasets::AbsTimed))
quantized = pitch_bend.quantize(step: 1)
quantized.i.to_a
# => [{time: 0r, value: 60, duration: 1/2r}, {time: 1/2r, value: 61, duration: 1/2r}]

Predictive quantization

continuous = S({time: 0r, value: 0}, {time: 4r, value: 10})
pred = continuous.quantize(step: 2, predictive: true)
# Generates crossing points at values 0, 2, 4, 6, 8, 10

Parameters:

  • reference (Numeric, nil) (defaults to: nil) —

    quantization reference (default: 0)

  • step (Numeric, nil) (defaults to: nil) —

    step size (default: 1)

  • value_attribute (Symbol, nil) (defaults to: nil) —

    attribute to quantize (default: :value)

  • stops (Boolean, nil) (defaults to: nil) —

    include stop points (default: false)

  • predictive (Boolean, nil) (defaults to: nil) —

    use predictive mode (default: false)

  • left_open (Boolean, nil) (defaults to: nil) —

    left boundary open (raw mode)

  • right_open (Boolean, nil) (defaults to: nil) —

    right boundary open (raw mode)

Returns:

  • (RawQuantizer, PredictiveQuantizer) —

    quantized serie



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# File 'lib/musa-dsl/series/quantizer-serie.rb', line 48

def quantize(reference: nil, step: nil,
  value_attribute: nil,
  stops: nil,
  predictive: nil,
  left_open: nil,
  right_open: nil)
  
  # TODO remove debugging puts, intermediate hash comments on :info and InspectNice
  
  Series::Constructors.QUANTIZE(self,
                  reference: reference,
                  step: step,
                  value_attribute: value_attribute,
                  stops: stops,
                  predictive: predictive,
                  left_open: left_open,
                  right_open: right_open)
end

#queued ⇒ QueueSerie

Wraps this serie in a queue.

Returns:



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# File 'lib/musa-dsl/series/queue-serie.rb', line 190

def queued
  Series::Constructors.QUEUE(self)
end

#randomize(random: nil) ⇒ Randomizer

Randomizes order of values.

Shuffles values randomly. Requires finite serie.

Examples:

Shuffle

s = S(1, 2, 3, 4, 5).randomize
s.i.to_a  # => random permutation

The same seed is the same shuffle

S(1, 2, 3, 4, 5).randomize(random: 7).i.to_a  # => [5, 2, 4, 3, 1]
S(1, 2, 3, 4, 5).randomize(random: 7).i.to_a  # => [5, 2, 4, 3, 1]

Parameters:

  • random (Random, Integer, nil) (defaults to: nil) —

    a generator, or a seed to build one with, or nothing for an unseeded one -- the same three forms Constructors#RND takes, since they are the same idea offered twice.

Returns:

  • (Randomizer) —

    randomized serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 318

def randomize(random: nil)
  # Without this the Integer reached Randomizer intact and only failed
  # when the serie was consumed, with a traceback pointing far away from
  # the call that caused it (issue #87).
  random = Random.new(random) if random.is_a?(Integer)
  random ||= Random.new

  Randomizer.new self, random
end

#remove(block = nil) {|value| ... } ⇒ Remover

Removes values matching condition.

Filters out values where block returns true.

Examples:

Remove odds

s = S(1, 2, 3, 4, 5).remove { |n| n.odd? }
s.i.to_a  # => [2, 4]

Parameters:

  • block (Proc, nil) (defaults to: nil) —

    filter block

Yields:

  • filter condition

Yield Parameters:

  • value (Object) —

    current value

Yield Returns:

  • (Boolean) —

    true to remove value

Returns:

  • (Remover) —

    filtered serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 344

def remove(block = nil, &yield_block)
  block ||= yield_block
  Remover.new self, &block
end

#repeat(times = nil, condition: nil) { ... } ⇒ Repeater, InfiniteRepeater

Repeats serie multiple times or conditionally.

Three modes:

  • times: Repeat exact number of times
  • condition: Repeat while condition true
  • neither: Infinite repetition

Examples:

Fixed repetitions

s = S(1, 2, 3).repeat(3)
s.i.to_a  # => [1, 2, 3, 1, 2, 3, 1, 2, 3]

Conditional repeat

count = 0
s = S(1, 2, 3).repeat { count += 1; count < 3 }

Infinite repeat

s = S(1, 2, 3).repeat
s.infinite?  # => true

Parameters:

  • times (Integer, nil) (defaults to: nil) —

    number of repetitions

  • condition (Proc, nil) (defaults to: nil) —

    condition block

Yields:

  • optional condition block

Returns:

  • (Repeater, InfiniteRepeater) —

    repeating serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 146

def repeat(times = nil, condition: nil, &condition_block)
  condition ||= condition_block

  if times || condition
    Repeater.new self, times, &condition
  else
    InfiniteRepeater.new self
  end
end

#reverse ⇒ Reverser

Reverses order of values.

Consumes entire serie and returns values in reverse order. Requires finite serie.

Examples:

Retrograde

s = S(1, 2, 3, 4).reverse
s.i.to_a  # => [4, 3, 2, 1]

Returns:

  • (Reverser) —

    reversed serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 295

def reverse
  Reverser.new self
end

#select(block = nil) {|value| ... } ⇒ Selector

Selects values matching condition.

Keeps only values where block returns true.

Examples:

Select evens

s = S(1, 2, 3, 4, 5).select { |n| n.even? }
s.i.to_a  # => [2, 4]

Parameters:

  • block (Proc, nil) (defaults to: nil) —

    filter block

Yields:

  • filter condition

Yield Parameters:

  • value (Object) —

    current value

Yield Returns:

  • (Boolean) —

    true to keep value

Returns:

  • (Selector) —

    filtered serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 365

def select(block = nil, &yield_block)
  block ||= yield_block
  Selector.new self, &block
end

#shift(shift) ⇒ Shifter

Rotates serie elements circularly.

Performs circular rotation of elements:

  • Negative values rotate left (first elements move to end)
  • Positive values rotate right (last elements move to beginning)
  • Zero performs no rotation

Note: Right rotation (positive values) requires finite series as the entire serie must be loaded into memory for rotation.

Examples:

Rotate left (negative shift)

s = S(60, 64, 67).shift(-1)  # First element moves to end
s.i.to_a  # => [64, 67, 60]

Rotate right (positive shift)

s = S(1, 2, 3, 4, 5).shift(2)  # Last 2 elements move to beginning
s.i.to_a  # => [4, 5, 1, 2, 3]

No rotation

s = S(1, 2, 3).shift(0)
s.i.to_a  # => [1, 2, 3]

Parameters:

  • shift (Integer) —

    rotation amount

    • Negative: rotate left by N positions
    • Positive: rotate right by N positions
    • Zero: no rotation

Returns:

  • (Shifter) —

    rotated serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 268

def shift(shift)
  Shifter.new self, shift
end

#skip(length) ⇒ Skipper

Skips first N values.

Discards first length values, returns rest.

Examples:

Skip first 2

s = S(1, 2, 3, 4, 5).skip(2)
s.i.to_a  # => [3, 4, 5]

Parameters:

  • length (Integer) —

    number of values to skip

Returns:

  • (Skipper) —

    serie with skipped values



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 186

def skip(length)
  Skipper.new self, length
end

#split ⇒ Splitter

Serie splitter for decomposing hash/array values into component series.

Splits series of hash or array values into individual component series, enabling independent access to each component.

Splitting Modes

  • Hash mode: Split {pitch: 60, velocity: 96} into separate series for :pitch and :velocity
  • Array mode: Split [60, 96] into separate series for indices 0, 1

Component Access

  • Hash: splitter[:pitch], splitter[:velocity]
  • Array: splitter[0], splitter[1]
  • Enumerable: splitter.each { |component| ... }

Use Cases

  • Separate polyphonic voices from single source
  • Independent processing of musical parameters
  • Extract specific components (pitch, duration, velocity, etc.)
  • Multi-track decomposition

Examples:

Split hash values

notes = S({pitch: 60, vel: 96}, {pitch: 64, vel: 80})
splitter = notes.split.i

pitches = splitter[:pitch]
velocities = splitter[:vel]

pitches.next_value  # => 60
velocities.next_value  # => 96

Split array values

pairs = S([1, 10], [2, 20], [3, 30]).split.i
first = pairs[0]
second = pairs[1]

Returns:

  • (Splitter) —

    hash/array splitter



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# File 'lib/musa-dsl/series/hash-or-array-serie-splitter.rb', line 45

def split
  Splitter.new(self)
end

#switch(*indexed_series, **hash_series) ⇒ Switcher

Switches between multiple series based on selector values.

Uses selector serie to choose which source serie to read from. Selector values can be indices (Integer) or keys (Symbol).

Examples:

Index switching

s1 = S(1, 2, 3)
s2 = S(10, 20, 30)
selector = S(0, 1, 0, 1)
result = selector.switch(s1, s2)
result.i.to_a  # => [1, 10, 2, 20]

Parameters:

  • indexed_series (Array) —

    series indexed by integer

  • hash_series (Hash) —

    series indexed by symbol key

Returns:

  • (Switcher) —

    switching serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 388

def switch(*indexed_series, **hash_series)
  Switcher.new self, indexed_series, hash_series
end

#switch_serie(*indexed_series, **hash_series) ⇒ SwitchFullSerie

Switches to entirely different series based on selector.

Changes which serie is being consumed entirely.

Parameters:

  • indexed_series (Array) —

    series to switch between

  • hash_series (Hash) —

    series to switch between by key

Returns:

  • (SwitchFullSerie) —

    serie switcher



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 416

def switch_serie(*indexed_series, **hash_series)
  SwitchFullSerie.new self, indexed_series, hash_series
end

#union_timed(*other_timed_series, key: nil, **other_key_timed_series) ⇒ TimedUnionOfArrayOfTimedSeries, TimedUnionOfHashOfTimedSeries

Combines this timed serie with others via TIMED_UNION.

Convenience method for unioning series, supporting both array and hash modes. Calls Constructors#TIMED_UNION constructor with appropriate parameters.

Array mode: s1.union_timed(s2, s3) Hash mode: s1.union_timed(key: :melody, bass: s2, drums: s3)

Examples:

Array mode

melody = S({ time: 0r, value: 60 })
bass = S({ time: 0r, value: 36 })

melody.union_timed(bass).i.next_value
# => { time: 0r, value: [60, 36] }

Hash mode

melody = S({ time: 0r, value: 60 })
bass = S({ time: 0r, value: 36 })
drums = S({ time: 0r, value: 38 })

melody.union_timed(key: :melody, bass: bass, drums: drums).i.next_value
# => { time: 0r, value: { melody: 60, bass: 36, drums: 38 } }

Parameters:

  • other_timed_series (Array<Serie>) —

    additional series (array mode)

  • key (Symbol, nil) (defaults to: nil) —

    key name for this serie (hash mode)

  • other_key_timed_series (Hash{Symbol => Serie}) —

    named series (hash mode)

Returns:

  • (TimedUnionOfArrayOfTimedSeries, TimedUnionOfHashOfTimedSeries) —

    union

Raises:

  • (ArgumentError) —

    if mixing array and hash modes

See Also:



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# File 'lib/musa-dsl/series/timed-serie.rb', line 618

def union_timed(*other_timed_series, key: nil, **other_key_timed_series)
  if key && other_key_timed_series.any?
    Series::Constructors.TIMED_UNION(key => self, **other_key_timed_series)

  elsif other_timed_series.any? && other_key_timed_series.empty?
    Series::Constructors.TIMED_UNION(self, *other_timed_series)

  else
    raise ArgumentError, 'Can\'t union an array of series with a hash of series'
  end
end

#with(*with_series, on_restart: nil, isolate_values: nil, **with_key_series) {|main_value, with_values, with_key_values| ... } ⇒ With Also known as: eval

Combines multiple series for mapping.

Synchronously iterates multiple series, passing all values to block. Enables multi-voice transformations and combinations.

Parameters

  • with_series: Positional series (passed as array to block)
  • with_key_series: Named series (passed as keywords to block)
  • on_restart: Block called on restart
  • isolate_values: Clone values to prevent mutation

Block Parameters

Block receives:

  • Main serie value (first argument)
  • Positional with_series values (array)
  • Keyword with_key_series values (keywords)

Examples:

Combine pitches and velocities

# Positional with-series cannot isolate their values, so say so:
# otherwise prefer the named form below.
pitches = S(60, 64, 67)
velocities = S(96, 80, 64)
notes = pitches.with(velocities, isolate_values: false) { |p, v| {pitch: p, velocity: v} }
notes.i.to_a  # => [{pitch: 60, velocity: 96}, {pitch: 64, velocity: 80}, {pitch: 67, velocity: 64}]

Named series

melody = S(60, 64, 67)
rhythm = S(1r, 0.5r, 0.5r)
combined = melody.with(duration: rhythm) { |pitch, duration:|
  {pitch: pitch, duration: duration}
}

Parameters:

  • with_series (Array<Serie>) —

    positional series to combine

  • on_restart (Proc, nil) (defaults to: nil) —

    restart callback

  • isolate_values (Boolean, nil) (defaults to: nil) —

    clone values to prevent mutation

  • with_key_series (Hash) —

    keyword series to combine

Yields:

  • combination block

Yield Parameters:

  • main_value (Object) —

    value from main serie

  • with_values (Array) —

    values from positional series

  • with_key_values (Hash) —

    values from keyword series

Yield Returns:

Returns:

  • (With) —

    combined serie



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# File 'lib/musa-dsl/series/main-serie-operations.rb', line 537

def with(*with_series, on_restart: nil, isolate_values: nil, **with_key_series, &block)
  if with_series.any? && with_key_series.any?
    raise ArgumentError, 'Can\'t use extra parameters series and key named parameters series'
  end

  extra_series = if with_series.any?
                   with_series
                 elsif with_key_series.any?
                   with_key_series
                 end

  isolate_values ||= isolate_values.nil? ? true : isolate_values

  ProcessWith.new self, extra_series, on_restart, isolate_values: isolate_values, &block
end