Source code for music21.tree.timespanTree

# -----------------------------------------------------------------------------
# Name:         tree/timespanTree.py
# Purpose:      Subclasses of tree.trees.OffsetTree for manipulation
#
# Authors:      Joséphine Wolf Oberholtzer
#               Michael Scott Asato Cuthbert
#
# Copyright:    Copyright © 2013-2024 Michael Scott Asato Cuthbert
# License:      BSD, see license.txt
# -----------------------------------------------------------------------------
'''
Tools for grouping elements, timespans, and especially
pitched elements into kinds of searchable tree organized by start and stop offsets
and other positions.
'''
from __future__ import annotations

from collections.abc import Generator, Iterable
import itertools
import random
import typing as t
import unittest

import more_itertools

from music21 import common
from music21 import environment
from music21 import exceptions21

from music21.tree import spans
from music21.tree import trees


if t.TYPE_CHECKING:
    from music21.tree.verticality import VerticalitySequence


environLocal = environment.Environment('tree.timespanTree')


# -----------------------------------------------------------------------------
class TimespanTreeException(exceptions21.TreeException):
    pass


# -----------------------------------------------------------------------------
[docs] class TimespanTree(trees.OffsetTree): r''' A TimespanTree is a data structure for efficiently slicing a score for pitches, or, like all :class:`~music21.tree.trees.OffsetTree` objects, for searching large scores quickly by time. While you can construct an TimespanTree by hand, inserting timespans one at a time, the common use-case is to construct the TimespanTree from an entire score at once: >>> bach = corpus.parse('bwv66.6') >>> scoreTree = tree.fromStream.asTimespans(bach, flatten=True, ... classList=(note.Note, chord.Chord)) From this representation, we can get what is happening at any given moment as a :class:`~music21.tree.verticality.Verticality` object. >>> print(scoreTree.getVerticalityAt(17.0)) <music21.tree.verticality.Verticality 17.0 {F#3 C#4 A4}> The equivalent call from the stream itself is: `bach.asTrees(flatten=True, asTimespans=True, classList=(note.Note, chord.Chord))` All offsets are assumed to be relative to the score's source if flatten is True Example: How many moments in Bach are consonant and how many are dissonant: >>> totalConsonances = 0 >>> totalDissonances = 0 >>> for v in scoreTree.iterateVerticalities(): ... if v.toChord().isConsonant(): ... totalConsonances += 1 ... else: ... totalDissonances += 1 >>> (totalConsonances, totalDissonances) (34, 17) So 1/3 of the vertical moments in Bach are dissonant! But is this an accurate perception? Let's sum up the total consonant duration vs. dissonant duration. Since verticality objects do not know their end times, we can iterate pairwise to figure out the length. We add "padEnd=True" to include a dummy verticality at the end so that it includes the last object: >>> totalConsonanceDuration = 0 >>> totalDissonanceDuration = 0 >>> iterator = scoreTree.iterateVerticalitiesNwise(n=2, padEnd=True) >>> for verticality1, verticality2 in iterator: ... offset1 = verticality1.offset ... offset2 = verticality2.offset ... quarterLength = offset2 - offset1 ... if verticality1.toChord().isConsonant(): ... totalConsonanceDuration += quarterLength ... else: ... totalDissonanceDuration += quarterLength >>> (totalConsonanceDuration, totalDissonanceDuration) (26.5, 9.5) Example: Remove neighbor tones from the Bach chorale. (It's actually quite viscous in its pruning.) Here in Alto, measure 7, there's a neighbor tone E#. >>> bach.parts['#Alto'].measure(7).show('text') {0.0} <music21.note.Note F#> {0.5} <music21.note.Note E#> {1.0} <music21.note.Note F#> {1.5} <music21.note.Note F#> {2.0} <music21.note.Note C#> We'll get rid of it and a lot of other neighbor tones. >>> for verticalities in scoreTree.iterateVerticalitiesNwise(n=3): ... horizontalities = scoreTree.unwrapVerticalities(verticalities) ... for unused_part, horizontality in horizontalities.items(): ... if horizontality.hasNeighborTone: ... merged = horizontality[0].new( ... endTime=horizontality[2].endTime, ... ) # merged is a new PitchedTimespan ... scoreTree.removeTimespan(horizontality[0]) ... scoreTree.removeTimespan(horizontality[1]) ... scoreTree.removeTimespan(horizontality[2]) ... scoreTree.insert(merged) >>> #_DOCS_SHOW newBach = tree.toStream.partwise(scoreTree, templateStream=bach) >>> #_DOCS_SHOW newBach.parts['#Alto'].measure(7).show('text') {0.0} <music21.chord.Chord F#4> {1.5} <music21.chord.Chord F#3> {2.0} <music21.chord.Chord C#4> The second F# is an octave lower, so it wouldn't get merged even if adjacent notes were fused together (which they're not). .. note:: TimespanTree is an implementation of an extended AVL tree. AVL trees are a type of binary tree, like Red-Black trees. AVL trees are very efficient at insertion when the objects being inserted are already sorted - which is usually the case with data extracted from a score. TimespanTree is an extended AVL tree because each node in the tree keeps track of not just the start offsets of PitchedTimespans stored at that node, but also the earliest and latest stop offset of all PitchedTimespans stores at both that node and all nodes which are children of that node. This lets us quickly located PitchedTimespans which overlap offsets or which are contained within ranges of offsets. This also means that the contents of a TimespanTree are always sorted. OMIT_FROM_DOCS TODO: Doc examples for all functions, including privates. ''' __slots__ = () @staticmethod def _insertCorePayloadSortKey(x): return x.endTime # if hasattr(x, 'element'): # return x.element.sortTuple()[2:] # elif isinstance(x, TimespanTree) and x.source is not None: # environLocal.printDebug("Timespan tree added to Tree: nope.") # return x.source.sortTuple()[2:] # else: # return x.endTime # PitchedTimespan with no Element! # PUBLIC METHODS #
[docs] @staticmethod def elementEndTime(el, unused_node): ''' Use so that both OffsetTrees, which have elements which do not have a .endTime, and TimespanTrees, which have element that have an .endTime but not a duration, can use most of the same code. ''' return el.endTime
[docs] def index(self, span): r''' Gets index of a TimeSpan in a TimespanTree. Since Timespans do not have .sites, there is only one offset to deal with >>> tsList = [(0, 2), (0, 9), (1, 1), (2, 3), (3, 4), ... (4, 9), (5, 6), (5, 8), (6, 8), (7, 7)] >>> ts = [tree.spans.Timespan(x, y) for x, y in tsList] >>> tsTree = tree.timespanTree.TimespanTree() >>> tsTree.insert(ts) >>> for timespan in ts: ... print(f'{timespan!r} {tsTree.index(timespan)}') <Timespan 0.0 2.0> 0 <Timespan 0.0 9.0> 1 <Timespan 1.0 1.0> 2 <Timespan 2.0 3.0> 3 <Timespan 3.0 4.0> 4 <Timespan 4.0 9.0> 5 <Timespan 5.0 6.0> 6 <Timespan 5.0 8.0> 7 <Timespan 6.0 8.0> 8 <Timespan 7.0 7.0> 9 >>> tsTree.index(tree.spans.Timespan(-100, 100)) Traceback (most recent call last): ValueError: <Timespan -100.0 100.0> not in Tree at offset -100.0. ''' offset = span.offset node = self.getNodeByPosition(offset) if node is None or span not in node.payload: raise ValueError(f'{span} not in Tree at offset {offset}.') index = node.payload.index(span) + node.payloadElementsStartIndex return index
@property def offset(self): ''' this is just for mimicking elements as streams. * Changed in v7: this was always meant to be a property, but was incorrectly a method earlier. ''' return self.lowestPosition()
[docs] def removeTimespanList(self, elements, offsets=None, runUpdate=True): ''' this will eventually be different from above ''' self.removeElements(elements, offsets, runUpdate)
[docs] def removeTimespan(self, elements, offsets=None, runUpdate=True): ''' this will eventually be different from above. ''' self.removeElements(elements, offsets, runUpdate)
[docs] def findNextPitchedTimespanInSameStreamByClass( self, pitchedTimespan: spans.PitchedTimespan, classList=None ) -> spans.PitchedTimespan | None: r''' Finds next element timespan in the same stream class as `PitchedTimespan`. Default classList is (stream.Part,) >>> score = corpus.parse('bwv66.6') >>> scoreTree = score.asTimespans(classList=(note.Note,)) >>> timespan = scoreTree[0] >>> timespan <PitchedTimespan (0.0 to 0.5) <music21.note.Note C#>> >>> timespan.part <music21.stream.Part Soprano> >>> timespan = scoreTree.findNextPitchedTimespanInSameStreamByClass(timespan) >>> timespan <PitchedTimespan (0.5 to 1.0) <music21.note.Note B>> >>> timespan.part <music21.stream.Part Soprano> >>> timespan = scoreTree.findNextPitchedTimespanInSameStreamByClass(timespan) >>> timespan <PitchedTimespan (1.0 to 2.0) <music21.note.Note A>> >>> timespan.part <music21.stream.Part Soprano> ''' from music21 import stream if classList is None: classList = (stream.Part,) if not isinstance(pitchedTimespan, spans.PitchedTimespan): message = f'PitchedTimespan {pitchedTimespan!r}, must be an PitchedTimespan' raise TimespanTreeException(message) verticality = self.getVerticalityAt(pitchedTimespan.offset) while verticality is not None: verticality = verticality.nextVerticality if verticality is None: return None for nextPitchedTimespan in verticality.startTimespans: if (nextPitchedTimespan.getParentageByClass(classList) is pitchedTimespan.getParentageByClass(classList)): return nextPitchedTimespan
[docs] def findPreviousPitchedTimespanInSameStreamByClass( self, pitchedTimespan: spans.PitchedTimespan, classList=None ) -> spans.PitchedTimespan | None: r''' Finds next element timespan in the same Part/Measure, etc. (specify in classList) as the `pitchedTimespan`. >>> score = corpus.parse('bwv66.6') >>> scoreTree = score.asTimespans(classList=(note.Note,)) >>> timespan = scoreTree[-1] >>> timespan <PitchedTimespan (35.0 to 36.0) <music21.note.Note F#>> >>> timespan.part <music21.stream.Part Bass> >>> timespan = scoreTree.findPreviousPitchedTimespanInSameStreamByClass(timespan) >>> timespan <PitchedTimespan (34.0 to 35.0) <music21.note.Note B>> >>> timespan.part <music21.stream.Part Bass> >>> timespan = scoreTree.findPreviousPitchedTimespanInSameStreamByClass(timespan) >>> timespan <PitchedTimespan (33.0 to 34.0) <music21.note.Note D>> >>> timespan.part <music21.stream.Part Bass> ''' from music21 import stream if classList is None: classList = (stream.Part,) if not isinstance(pitchedTimespan, spans.PitchedTimespan): message = f'PitchedTimespan {pitchedTimespan!r}, must be an PitchedTimespan' raise TimespanTreeException(message) verticality = self.getVerticalityAt(pitchedTimespan.offset) while verticality is not None: verticality = verticality.previousVerticality if verticality is None: return None for previousPitchedTimespan in verticality.startTimespans: if (previousPitchedTimespan.getParentageByClass(classList) is pitchedTimespan.getParentageByClass(classList)): return previousPitchedTimespan
[docs] def getVerticalityAtOrBefore(self, offset): r''' Gets the :class:`~music21.tree.verticality.Verticality` in this TimeSpanTree which starts at `offset`. If the found Verticality has no start timespans, the function returns the next previous verticality with start timespans. >>> score = corpus.parse('bwv66.6') >>> scoreTree = score.asTimespans() >>> scoreTree.getVerticalityAtOrBefore(0.125) <music21.tree.verticality.Verticality 0.0 {A3 E4 C#5}> >>> scoreTree.getVerticalityAtOrBefore(0.0) <music21.tree.verticality.Verticality 0.0 {A3 E4 C#5}> ''' verticality = self.getVerticalityAt(offset) if not verticality.startTimespans: verticality = verticality.previousVerticality return verticality
[docs] def iterateConsonanceBoundedVerticalities(self): # noinspection PyShadowingNames r''' Iterates consonant-bounded verticality subsequences in this offset-tree. >>> score = corpus.parse('bwv66.6') >>> scoreTree = score.asTimespans() >>> for subsequence in scoreTree.iterateConsonanceBoundedVerticalities(): ... print('Subsequence:') ... for verticality in subsequence: ... verticalityChord = verticality.toChord() ... print(f'\t[{verticality.measureNumber}] ' ... f'{verticality}: {verticalityChord.isConsonant()}') Subsequence: [2] <music21.tree.verticality.Verticality 6.0 {E3 E4 G#4 B4}>: True [2] <music21.tree.verticality.Verticality 6.5 {E3 D4 G#4 B4}>: False [2] <music21.tree.verticality.Verticality 7.0 {A2 C#4 E4 A4}>: True Subsequence: [3] <music21.tree.verticality.Verticality 9.0 {F#3 C#4 F#4 A4}>: True [3] <music21.tree.verticality.Verticality 9.5 {B2 D4 G#4 B4}>: False [3] <music21.tree.verticality.Verticality 10.0 {C#3 C#4 E#4 G#4}>: True Subsequence: [3] <music21.tree.verticality.Verticality 10.0 {C#3 C#4 E#4 G#4}>: True [3] <music21.tree.verticality.Verticality 10.5 {C#3 B3 E#4 G#4}>: False [3] <music21.tree.verticality.Verticality 11.0 {F#2 A3 C#4 F#4}>: True Subsequence: [3] <music21.tree.verticality.Verticality 12.0 {F#3 C#4 F#4 A4}>: True [4] <music21.tree.verticality.Verticality 13.0 {G#3 B3 F#4 B4}>: False [4] <music21.tree.verticality.Verticality 13.5 {F#3 B3 F#4 B4}>: False [4] <music21.tree.verticality.Verticality 14.0 {G#3 B3 E4 B4}>: True Subsequence: [4] <music21.tree.verticality.Verticality 14.0 {G#3 B3 E4 B4}>: True [4] <music21.tree.verticality.Verticality 14.5 {A3 B3 E4 B4}>: False [4] <music21.tree.verticality.Verticality 15.0 {B3 D#4 F#4}>: True Subsequence: [4] <music21.tree.verticality.Verticality 15.0 {B3 D#4 F#4}>: True [4] <music21.tree.verticality.Verticality 15.5 {B2 A3 D#4 F#4}>: False [4] <music21.tree.verticality.Verticality 16.0 {C#3 G#3 C#4 E4}>: True Subsequence: [5] <music21.tree.verticality.Verticality 17.5 {F#3 D4 F#4 A4}>: True [5] <music21.tree.verticality.Verticality 18.0 {G#3 C#4 E4 B4}>: False [5] <music21.tree.verticality.Verticality 18.5 {G#3 B3 E4 B4}>: True Subsequence: [6] <music21.tree.verticality.Verticality 24.0 {F#3 C#4 F#4 A4}>: True [7] <music21.tree.verticality.Verticality 25.0 {B2 D4 F#4 G#4}>: False [7] <music21.tree.verticality.Verticality 25.5 {C#3 C#4 E#4 G#4}>: True Subsequence: [7] <music21.tree.verticality.Verticality 25.5 {C#3 C#4 E#4 G#4}>: True [7] <music21.tree.verticality.Verticality 26.0 {D3 C#4 F#4}>: False [7] <music21.tree.verticality.Verticality 26.5 {D3 F#3 B3 F#4}>: True Subsequence: [8] <music21.tree.verticality.Verticality 29.0 {A#2 F#3 C#4 F#4}>: True [8] <music21.tree.verticality.Verticality 29.5 {A#2 F#3 D4 F#4}>: False [8] <music21.tree.verticality.Verticality 30.0 {A#2 C#4 E4 F#4}>: False [8] <music21.tree.verticality.Verticality 31.0 {B2 C#4 E4 F#4}>: False [8] <music21.tree.verticality.Verticality 32.0 {C#3 B3 D4 F#4}>: False [8] <music21.tree.verticality.Verticality 32.5 {C#3 A#3 C#4 F#4}>: False [9] <music21.tree.verticality.Verticality 33.0 {D3 B3 F#4}>: True Subsequence: [9] <music21.tree.verticality.Verticality 33.0 {D3 B3 F#4}>: True [9] <music21.tree.verticality.Verticality 33.5 {D3 B3 C#4 F#4}>: False [9] <music21.tree.verticality.Verticality 34.0 {B2 B3 D4 F#4}>: True Subsequence: [9] <music21.tree.verticality.Verticality 34.0 {B2 B3 D4 F#4}>: True [9] <music21.tree.verticality.Verticality 34.5 {B2 B3 D4 E#4}>: False [9] <music21.tree.verticality.Verticality 35.0 {F#3 A#3 C#4 F#4}>: True ''' iterator = self.iterateVerticalities() try: startingVerticality = next(iterator) except StopIteration: return while not startingVerticality.toChord().isConsonant(): try: startingVerticality = next(iterator) except StopIteration: return verticalityBuffer = [startingVerticality] for verticality in iterator: verticalityBuffer.append(verticality) if verticality.toChord().isConsonant(): if len(verticalityBuffer) > 2: yield tuple(verticalityBuffer) verticalityBuffer = [verticality]
[docs] def iterateVerticalities( self, reverse: bool = False, ) -> Generator['music21.tree.verticality.Verticality', None, None]: r''' Iterates all vertical moments in this TimespanTree, represented as :class:`~music21.tree.verticality.Verticality` objects. .. note:: The TimespanTree can be mutated while its verticalities are iterated over. Each verticality holds a reference back to the TimespanTree and will ask for the start-offset after (or before) its own start offset in order to determine the next verticality to yield. If you mutate the tree by adding or deleting timespans, the next verticality will reflect those changes. >>> score = corpus.parse('bwv66.6') >>> scoreTree = score.asTimespans(classList=(note.Note,)) >>> iterator = scoreTree.iterateVerticalities() >>> for _ in range(10): ... next(iterator) ... <music21.tree.verticality.Verticality 0.0 {A3 E4 C#5}> <music21.tree.verticality.Verticality 0.5 {G#3 B3 E4 B4}> <music21.tree.verticality.Verticality 1.0 {F#3 C#4 F#4 A4}> <music21.tree.verticality.Verticality 2.0 {G#3 B3 E4 B4}> <music21.tree.verticality.Verticality 3.0 {A3 E4 C#5}> <music21.tree.verticality.Verticality 4.0 {G#3 B3 E4 E5}> <music21.tree.verticality.Verticality 5.0 {A3 E4 C#5}> <music21.tree.verticality.Verticality 5.5 {C#3 E4 A4 C#5}> <music21.tree.verticality.Verticality 6.0 {E3 E4 G#4 B4}> <music21.tree.verticality.Verticality 6.5 {E3 D4 G#4 B4}> Verticalities can also be iterated in reverse: >>> iterator = scoreTree.iterateVerticalities(reverse=True) >>> for _ in range(10): ... next(iterator) ... <music21.tree.verticality.Verticality 35.0 {F#3 A#3 C#4 F#4}> <music21.tree.verticality.Verticality 34.5 {B2 B3 D4 E#4}> <music21.tree.verticality.Verticality 34.0 {B2 B3 D4 F#4}> <music21.tree.verticality.Verticality 33.5 {D3 B3 C#4 F#4}> <music21.tree.verticality.Verticality 33.0 {D3 B3 F#4}> <music21.tree.verticality.Verticality 32.5 {C#3 A#3 C#4 F#4}> <music21.tree.verticality.Verticality 32.0 {C#3 B3 D4 F#4}> <music21.tree.verticality.Verticality 31.0 {B2 C#4 E4 F#4}> <music21.tree.verticality.Verticality 30.0 {A#2 C#4 E4 F#4}> <music21.tree.verticality.Verticality 29.5 {A#2 F#3 D4 F#4}> ''' if reverse: offset = self.highestPosition() verticality = self.getVerticalityAt(offset) yield verticality verticality = verticality.previousVerticality while verticality is not None: yield verticality verticality = verticality.previousVerticality else: offset = self.lowestPosition() verticality = self.getVerticalityAt(offset) yield verticality verticality = verticality.nextVerticality while verticality is not None: yield verticality verticality = verticality.nextVerticality
[docs] def iterateVerticalitiesNwise( self, n: int = 3, *, reverse: bool = False, padEnd: bool = False ) -> Generator[VerticalitySequence, None, None]: r''' Iterates :class:`~music21.tree.verticality.Verticality` objects in groups of length `n`. .. note:: The TimespanTree can be mutated while its verticalities are iterated over. Each verticality holds a reference back to the TimespanTree and will ask for the start-offset after (or before) its own start offset in order to determine the next verticality to yield. If you mutate the tree by adding or deleting timespans, the next verticality will reflect those changes. >>> score = corpus.parse('bwv66.6') >>> scoreTree = score.asTimespans(classList=(note.Note,)) >>> iterator = scoreTree.iterateVerticalitiesNwise(n=2) >>> for _ in range(4): ... print(next(iterator)) ... <music21.tree.verticality.VerticalitySequence [ (0.0 {A3 E4 C#5}), (0.5 {G#3 B3 E4 B4}) ]> <music21.tree.verticality.VerticalitySequence [ (0.5 {G#3 B3 E4 B4}), (1.0 {F#3 C#4 F#4 A4}) ]> <music21.tree.verticality.VerticalitySequence [ (1.0 {F#3 C#4 F#4 A4}), (2.0 {G#3 B3 E4 B4}) ]> <music21.tree.verticality.VerticalitySequence [ (2.0 {G#3 B3 E4 B4}), (3.0 {A3 E4 C#5}) ]> Grouped verticalities can also be iterated in reverse, but note that the groups within each iteration are still ordered from earliest to last. >>> iterator = scoreTree.iterateVerticalitiesNwise(n=2, reverse=True) >>> for _ in range(4): ... print(next(iterator)) ... <music21.tree.verticality.VerticalitySequence [ (34.5 {B2 B3 D4 E#4}), (35.0 {F#3 A#3 C#4 F#4}) ]> <music21.tree.verticality.VerticalitySequence [ (34.0 {B2 B3 D4 F#4}), (34.5 {B2 B3 D4 E#4}) ]> <music21.tree.verticality.VerticalitySequence [ (33.5 {D3 B3 C#4 F#4}), (34.0 {B2 B3 D4 F#4}) ]> <music21.tree.verticality.VerticalitySequence [ (33.0 {D3 B3 F#4}), (33.5 {D3 B3 C#4 F#4}) ]> When iterating with `n > 1` and `padEnd=True` will put sentinel Verticalities in the last VerticalitySequences that occur at the `endTime` of the tree, with no elements: >>> iterator = scoreTree.iterateVerticalitiesNwise(n=3, padEnd=True) >>> for v in iterator: ... pass >>> v <music21.tree.verticality.VerticalitySequence [ (35.0 {F#3 A#3 C#4 F#4}), (36.0 {}), (36.0 {}) ]> * Changed in v8: added padEnd. Streams with fewer than n elements also return an empty sentinel entry. ''' from music21.tree.verticality import VerticalitySequence, Verticality n = int(n) if n <= 0: message = 'The number of verticalities in the group must be at ' message += f'least one. Got {n}' raise TimespanTreeException(message) sentinelVerticality = Verticality(self.endTime, timespanTree=self) if padEnd: ending = [sentinelVerticality] * (n - 1) else: ending = [] for verticalities in more_itertools.windowed( itertools.chain(self.iterateVerticalities(reverse=reverse), ending), n, sentinelVerticality ): if not reverse: yield VerticalitySequence(verticalities) else: yield VerticalitySequence(reversed(verticalities))
# if reverse: # for v in self.iterateVerticalities(reverse=True): # verticalities = [v] # while len(verticalities) < n: # nextVerticality = verticalities[-1].nextVerticality # if nextVerticality is None: # break # verticalities.append(nextVerticality) # if len(verticalities) == n: # yield VerticalitySequence(verticalities) # else: # for v in self.iterateVerticalities(): # verticalities = [v] # while len(verticalities) < n: # previousVerticality = verticalities[-1].previousVerticality # if previousVerticality is None: # break # verticalities.append(previousVerticality) # if len(verticalities) == n: # yield VerticalitySequence(reversed(verticalities))
[docs] def splitAt(self, offsets): r''' Splits all timespans in this TimespanTree at `offsets`, operating in place. >>> score = corpus.parse('bwv66.6') >>> scoreTree = score.asTimespans() >>> scoreTree.elementsStartingAt(0.1) () >>> for timespan in scoreTree.elementsOverlappingOffset(0.1): ... print(f'{timespan!r}, {timespan.part.id}') <PitchedTimespan (0.0 to 0.5) <music21.note.Note C#>>, Soprano <PitchedTimespan (0.0 to 0.5) <music21.note.Note A>>, Tenor <PitchedTimespan (0.0 to 0.5) <music21.note.Note A>>, Bass <PitchedTimespan (0.0 to 1.0) <music21.note.Note E>>, Alto Note that the Alto is last in both of these because currently the sorting is done according to the endTime -- potentially to be changed soon. >>> scoreTree.splitAt(0.1) >>> for timespan in scoreTree.elementsStartingAt(0.1): ... print(f'{timespan!r}, {timespan.part.id}') <PitchedTimespan (0.1 to 0.5) <music21.note.Note C#>>, Soprano <PitchedTimespan (0.1 to 0.5) <music21.note.Note A>>, Tenor <PitchedTimespan (0.1 to 0.5) <music21.note.Note A>>, Bass <PitchedTimespan (0.1 to 1.0) <music21.note.Note E>>, Alto >>> scoreTree.elementsOverlappingOffset(0.1) () ''' if not isinstance(offsets, Iterable): offsets = [offsets] for offset in offsets: overlaps = self.elementsOverlappingOffset(offset) if not overlaps: continue for overlap in overlaps: self.removeTimespan(overlap) shards = overlap.splitAt(offset) self.insert(shards)
[docs] def toPartwiseTimespanTrees(self): ''' Returns a dictionary of TimespanTrees where each entry is indexed by a Part object (TODO: Don't use mutable objects as hash keys!) and each key is a TimeSpan tree containing only element timespans belonging to that part. Used by reduceChords. May disappear at any time without a deprecation notice. ''' partwiseTimespanTrees = {} for part in self.allParts(): partwiseTimespanTrees[part] = TimespanTree() for timespan in self: partwiseTimespanTree = partwiseTimespanTrees[timespan.part] partwiseTimespanTree.insert(timespan) return partwiseTimespanTrees
[docs] @staticmethod def unwrapVerticalities(verticalities): # noinspection PyShadowingNames r''' Unwraps a sequence of `Verticality` objects into a dictionary of `Part`:`Horizontality` key/value pairs. >>> score = corpus.parse('bwv66.6') >>> scoreTree = score.asTimespans(classList=(note.Note,)) >>> iterator = scoreTree.iterateVerticalitiesNwise() >>> verticalities = next(iterator) >>> unwrapped = scoreTree.unwrapVerticalities(verticalities) >>> for part in sorted(unwrapped, key=lambda x: x.partName): ... print(part) ... horizontality = unwrapped[part] ... for timespan in horizontality: ... print(f'\t{timespan!r}') ... <music21.stream.Part Alto> <PitchedTimespan (0.0 to 1.0) <music21.note.Note E>> <PitchedTimespan (1.0 to 2.0) <music21.note.Note F#>> <music21.stream.Part Bass> <PitchedTimespan (0.0 to 0.5) <music21.note.Note A>> <PitchedTimespan (0.5 to 1.0) <music21.note.Note G#>> <PitchedTimespan (1.0 to 2.0) <music21.note.Note F#>> <music21.stream.Part Soprano> <PitchedTimespan (0.0 to 0.5) <music21.note.Note C#>> <PitchedTimespan (0.5 to 1.0) <music21.note.Note B>> <PitchedTimespan (1.0 to 2.0) <music21.note.Note A>> <music21.stream.Part Tenor> <PitchedTimespan (0.0 to 0.5) <music21.note.Note A>> <PitchedTimespan (0.5 to 1.0) <music21.note.Note B>> <PitchedTimespan (1.0 to 2.0) <music21.note.Note C#>> ''' from music21.tree.verticality import VerticalitySequence sequence = VerticalitySequence(verticalities) unwrapped = sequence.unwrap() return unwrapped
# PUBLIC PROPERTIES #
[docs] def allParts(self): parts = set() for timespan in self: parts.add(timespan.part) parts = sorted(parts, key=lambda x: x.getInstrument().partId) return parts
[docs] def maximumOverlap(self): ''' The maximum number of timespans overlapping at any given moment in this timespan collection. >>> score = corpus.parse('bwv66.6') >>> scoreTree = score.asTimespans(classList=(note.Note,)) >>> scoreTree.maximumOverlap() 4 Returns None if there is no verticality here. ''' overlap = None for v in self.iterateVerticalities(): degreeOfOverlap = len(v.startTimespans) + len(v.overlapTimespans) if overlap is None: overlap = degreeOfOverlap elif overlap < degreeOfOverlap: overlap = degreeOfOverlap return overlap
# def minimumOverlap(self): # ''' # The minimum number of timespans overlapping at any given moment in this # timespan collection. # # In a tree created from a monophonic stream, the minimumOverlap will # probably be either zero or one. # # >>> score = corpus.parse('bwv66.6') # >>> scoreTree = tree.fromStream.asTimespans( # ... score, flatten=False, classList=(note.Note, chord.Chord)) # >>> scoreTree[0].minimumOverlap() # 1 # # Returns None if there is no verticality here. # ''' # overlap = None # for v in self.iterateVerticalities(): # degreeOfOverlap = len(v.startTimespans) + len(v.overlapTimespans) # if overlap is None: # overlap = degreeOfOverlap # elif degreeOfOverlap < overlap: # overlap = degreeOfOverlap # return overlap @property def element(self): ''' defined so a TimespanTree can be used like an PitchedTimespan TODO: Look at subclassing or at least deriving from a common base. ''' return common.unwrapWeakref(self._source) @element.setter def element(self, expr): self._source = common.wrapWeakref(expr)
class Test(unittest.TestCase): def testGetVerticalityAtWithKey(self): from music21 import key from music21 import note from music21 import stream s = stream.Stream() s.insert(0, key.Key('C')) s.insert(0, note.Note('F#4')) scoreTree = s.asTimespans() v = scoreTree.getVerticalityAt(0.0) ps = v.pitchSet self.assertEqual(len(ps), 1) def testTimespanTree(self): for attempt in range(100): starts = list(range(20)) stops = list(range(20)) random.shuffle(starts) random.shuffle(stops) tss = [] for start, stop in zip(starts, stops): if start <= stop: tss.append(spans.Timespan(start, stop)) else: tss.append(spans.Timespan(stop, start)) tsTree = TimespanTree() for i, timespan in enumerate(tss): tsTree.insert(timespan) currentTimespansInList = list(sorted(tss[:i + 1], key=lambda x: (x.offset, x.endTime))) currentTimespansInTree = list(tsTree) currentPosition = min(x.offset for x in currentTimespansInList) currentEndTime = max(x.endTime for x in currentTimespansInList) self.assertEqual(currentTimespansInTree, currentTimespansInList, (attempt, currentTimespansInTree, currentTimespansInList)) self.assertEqual(tsTree.rootNode.endTimeLow, min(x.endTime for x in currentTimespansInList)) self.assertEqual(tsTree.rootNode.endTimeHigh, max(x.endTime for x in currentTimespansInList)) self.assertEqual(tsTree.lowestPosition(), currentPosition) self.assertEqual(tsTree.endTime, currentEndTime) for inList, inTree in zip(currentTimespansInList, currentTimespansInTree): self.assertEqual(inList, inTree) random.shuffle(tss) while tss: timespan = tss.pop() currentTimespansInList = sorted(tss, key=lambda x: (x.offset, x.endTime)) tsTree.removeTimespan(timespan) currentTimespansInTree = list(tsTree) self.assertEqual(currentTimespansInTree, currentTimespansInList, (attempt, currentTimespansInTree, currentTimespansInList)) if tsTree.rootNode is not None: currentPosition = min(x.offset for x in currentTimespansInList) currentEndTime = max(x.endTime for x in currentTimespansInList) self.assertEqual(tsTree.rootNode.endTimeLow, min(x.endTime for x in currentTimespansInList)) self.assertEqual(tsTree.rootNode.endTimeHigh, max(x.endTime for x in currentTimespansInList)) self.assertEqual(tsTree.lowestPosition(), currentPosition) self.assertEqual(tsTree.endTime, currentEndTime) for inList, inTree in zip(currentTimespansInList, currentTimespansInTree): self.assertEqual(inList, inTree) # ----------------------------------------------------------------------------- if __name__ == '__main__': import music21 music21.mainTest(Test) # , runTest='testGetVerticalityAtWithKey')