def _parseAttributes(self, src):
# assume that we have already checked that this is a measure
g = reMeasureTag.match(src)
if g is None: # not measure tag found
raise RTHandlerException('found no measure tag: %s' % src)
iEnd = g.end() # get end index
rawTag = src[:iEnd].strip()
self.tag = rawTag
rawData = src[iEnd:].strip() # may have variant
# get the number list from the tag
self.number, self.repeatLetter = self._getMeasureNumberData(rawTag)
# strip a variant indication off of rawData if found
g = reVariant.match(rawData)
if g is not None: # there is a variant tag
varStr = g.group(0)
self.variantNumber = int(common.getNumFromStr(varStr)[0])
self.data = rawData[g.end():].strip()
else:
self.data = rawData
g = reVariantLetter.match(rawData)
if g is not None: # there is a variant letter tag
varStr = g.group(1)
self.variantLetter = varStr
self.data = rawData[g.end():].strip()
if self.data.startswith('='):
self.isCopyDefinition = True
def _getMeasureNumberData(self, src):
'''Return the number or numbers as a list, as well as any repeat
indications.
>>> rtm = romanText.RTMeasure()
>>> rtm._getMeasureNumberData('m77')
([77], [''])
>>> rtm._getMeasureNumberData('m123b-432b')
([123, 432], ['b', 'b'])
'''
# note: this is separate procedure b/c it is used to get copy
# boundaries
if '-' in src: # its a range
mnStart, mnEnd = src.split('-')
proc = [mnStart, mnEnd]
else:
proc = [src] # treat as one
number = []
repeatLetter = []
for mn in proc:
# append in order, start, end
numStr, alphaStr = common.getNumFromStr(mn)
number.append(int(numStr))
# remove all 'm' in alpha
alphaStr = alphaStr.replace('m', '')
repeatLetter.append(alphaStr)
return number, repeatLetter
def _getMeasureNumberData(self, src):
'''Return the number or numbers as a list, as well as any repeat
indications.
>>> rtm = romanText.rtObjects.RTMeasure()
>>> rtm._getMeasureNumberData('m77')
([77], [''])
>>> rtm._getMeasureNumberData('m123b-432b')
([123, 432], ['b', 'b'])
'''
# note: this is separate procedure b/c it is used to get copy
# boundaries
if '-' in src: # its a range
mnStart, mnEnd = src.split('-')
proc = [mnStart, mnEnd]
else:
proc = [src] # treat as one
number = []
repeatLetter = []
for mn in proc:
# append in order, start, end
numStr, alphaStr = common.getNumFromStr(mn)
number.append(int(numStr))
# remove all 'm' in alpha
alphaStr = alphaStr.replace('m', '')
repeatLetter.append(alphaStr)
return number, repeatLetter
def _parseAttributes(self, src):
# assume that we have already checked that this is a measure
g = reMeasureTag.match(src)
if g is None: # not measure tag found
raise RTHandlerException('found no measure tag: %s' % src)
iEnd = g.end() # get end index
rawTag = src[:iEnd].strip()
self.tag = rawTag
rawData = src[iEnd:].strip() # may have variant
# get the number list from the tag
self.number, self.repeatLetter = self._getMeasureNumberData(rawTag)
# strip a variant indication off of rawData if found
g = reVariant.match(rawData)
if g is not None: # there is a variant tag
varStr = g.group(0)
self.variantNumber = int(common.getNumFromStr(varStr)[0])
self.data = rawData[g.end():].strip()
else:
self.data = rawData
g = reVariantLetter.match(rawData)
if g is not None: # there is a variant letter tag
varStr = g.group(1)
self.variantLetter = varStr
self.data = rawData[g.end():].strip()
if self.data.startswith('='):
self.isCopyDefinition = True
def slashToTuple(value: str) -> Optional[MeterTerminalTuple]:
'''
Returns a three-element MeterTerminalTuple of numerator, denominator, and optional
division of the meter.
>>> meter.tools.slashToTuple('3/8')
MeterTerminalTuple(numerator=3, denominator=8, division=<MeterDivision.NONE>)
>>> meter.tools.slashToTuple('7/32')
MeterTerminalTuple(numerator=7, denominator=32, division=<MeterDivision.NONE>)
>>> meter.tools.slashToTuple('slow 6/8')
MeterTerminalTuple(numerator=6, denominator=8, division=<MeterDivision.SLOW>)
'''
# split by numbers, include slash
valueNumbers, valueChars = common.getNumFromStr(value,
numbers='0123456789/.')
valueNumbers = valueNumbers.strip() # remove whitespace
valueChars = valueChars.strip() # remove whitespace
if 'slow' in valueChars.lower():
division = MeterDivision.SLOW
elif 'fast' in valueChars.lower():
division = MeterDivision.FAST
else:
division = MeterDivision.NONE
matches = re.match(r'(\d+)/(\d+)', valueNumbers)
if matches is not None:
n = int(matches.group(1))
d = int(matches.group(2))
return MeterTerminalTuple(n, d, division)
else:
environLocal.printDebug(['slashToTuple() cannot find two part fraction', value])
return None
def process(self,
minWindow=1,
maxWindow=1,
windowStepSize=1,
windowType='overlap',
includeTotalWindow=True):
'''
Main method for windowed analysis across one or more window sizes.
Calls :meth:`~music21.analysis.WindowedAnalysis.analyze` for
the number of different window sizes to be analyzed.
The `minWindow` and `maxWindow` set the range of window sizes in quarter lengths.
The `windowStepSize` parameter determines the increment between these window sizes,
in quarter lengths.
If `minWindow` or `maxWindow` is None, the largest window size available will be set.
If `includeTotalWindow` is True, the largest window size will always be added.
>>> s = corpus.parse('bach/bwv324')
>>> ksAnalyzer = analysis.discrete.KrumhanslSchmuckler()
placing one part into analysis
>>> sopr = s.parts[0]
>>> wa = analysis.windowed.WindowedAnalysis(sopr, ksAnalyzer)
>>> solutions, colors, meta = wa.process(1, 1, includeTotalWindow=False)
>>> len(solutions) # we only have one series of windows
1
>>> solutions, colors, meta = wa.process(1, 2, includeTotalWindow=False)
>>> len(solutions) # we have two series of windows
2
>>> solutions[1]
[(<music21.pitch.Pitch B>, 'major', 0.6868...),
(<music21.pitch.Pitch B>, 'minor', 0.8308...),
(<music21.pitch.Pitch D>, 'major', 0.6868...),
(<music21.pitch.Pitch B>, 'minor', 0.8308...),...]
>>> colors[1]
['#ffb5ff', '#9b519b', '#ffd752', '#9b519b', ...]
>>> meta
[{'windowSize': 1}, {'windowSize': 2}]
'''
if maxWindow is None:
maxLength = len(self._windowedStream)
else:
maxLength = maxWindow
if minWindow is None:
minLength = len(self._windowedStream)
else:
minLength = minWindow
if windowType is None:
windowType = 'overlap'
elif windowType.lower() in ['overlap']:
windowType = 'overlap'
elif windowType.lower() in ['nooverlap', 'nonoverlapping']:
windowType = 'noOverlap'
elif windowType.lower() in ['adjacentaverage']:
windowType = 'adjacentAverage'
# need to create storage for the output of each row, or the processing
# of all windows of a single size across the entire Stream
solutionMatrix = []
colorMatrix = []
# store meta data about each row as a dictionary
metaMatrix = []
if common.isNum(windowStepSize):
windowSizes = list(range(minLength, maxLength + 1, windowStepSize))
else:
num, junk = common.getNumFromStr(windowStepSize)
windowSizes = []
x = minLength
while True:
windowSizes.append(x)
x = x * round(int(num))
if x > (maxLength * 0.75):
break
if includeTotalWindow:
totalWindow = len(self._windowedStream)
if totalWindow not in windowSizes:
windowSizes.append(totalWindow)
for i in windowSizes:
#environLocal.printDebug(['processing window:', i])
# each of these results are lists, where len is based on
soln, colorn = self.analyze(i, windowType=windowType)
# store lists of results in a list of lists
solutionMatrix.append(soln)
colorMatrix.append(colorn)
meta = {'windowSize': i}
metaMatrix.append(meta)
return solutionMatrix, colorMatrix, metaMatrix
def _setSrc(self, raw):
raw = raw.strip()
# get decimals and fractions
raw, junk = common.getNumFromStr(raw, numbers='0123456789./')
self.src = raw.strip()
def process(self, minWindow=1, maxWindow=1, windowStepSize=1,
windowType='overlap', includeTotalWindow=True):
''' Main method for windowed analysis across one or more window size.
Calls :meth:`~music21.analysis.WindowedAnalysis._analyze` for
the number of different window sizes to be analyzed.
The `minWindow` and `maxWindow` set the range of window sizes in quarter lengths. The `windowStepSize` parameter determines the increment between these window sizes, in quarter lengths.
If `minWindow` or `maxWindow` is None, the largest window size available will be set.
If `includeTotalWindow` is True, the largest window size will always be added.
>>> s = corpus.parse('bach/bwv324')
>>> p = analysis.discrete.KrumhanslSchmuckler()
>>> # placing one part into analysis
>>> wa = analysis.windowed.WindowedAnalysis(s.parts[0], p)
>>> x, y, z = wa.process(1, 1, includeTotalWindow=False)
>>> len(x) # we only have one series of windows
1
>>> y[0][0].startswith('#') # for each window, we get a solution and a color
True
>>> x[0][0][0]
<music21.pitch.Pitch B>
>>> x, y, z = wa.process(1, 2, includeTotalWindow=False)
>>> len(x) # we have two series of windows
2
>>> x[0][0] # the data returned is processor dependent; here we get
(<music21.pitch.Pitch B>, 'major', 0.6868258874056411)
>>> y[0][0].startswith('#') # a color is returned for each matching data position
True
'''
if maxWindow == None:
maxLength = len(self._windowedStream)
else:
maxLength = maxWindow
if minWindow == None:
minLength = len(self._windowedStream)
else:
minLength = minWindow
if windowType == None:
windowType = 'overlap'
elif windowType.lower() in ['overlap']:
windowType = 'overlap'
elif windowType.lower() in ['nooverlap', 'nonoverlapping']:
windowType = 'noOverlap'
elif windowType.lower() in ['adjacentaverage']:
windowType = 'adjacentAverage'
# need to create storage for the output of each row, or the processing
# of all windows of a single size across the entire Stream
solutionMatrix = []
colorMatrix = []
# store meta data about each row as a dictionary
metaMatrix = []
if common.isNum(windowStepSize):
windowSizes = list(range(minLength, maxLength+1, windowStepSize))
else:
num, junk = common.getNumFromStr(windowStepSize)
windowSizes = []
x = minLength
while True:
windowSizes.append(x)
x = x * int(round(float(num)))
if x > (maxLength * .75):
break
if includeTotalWindow:
totalWindow = len(self._windowedStream)
if totalWindow not in windowSizes:
windowSizes.append(totalWindow)
for i in windowSizes:
#environLocal.printDebug(['processing window:', i])
# each of these results are lists, where len is based on
soln, colorn = self._analyze(i, windowType=windowType)
# store lists of results in a list of lists
solutionMatrix.append(soln)
colorMatrix.append(colorn)
meta = {'windowSize': i}
metaMatrix.append(meta)
return solutionMatrix, colorMatrix, metaMatrix
def process(self, minWindow=1, maxWindow=1, windowStepSize=1,
windowType='overlap', includeTotalWindow=True):
'''
Main method for windowed analysis across one or more window sizes.
Calls :meth:`~music21.analysis.WindowedAnalysis.analyze` for
the number of different window sizes to be analyzed.
The `minWindow` and `maxWindow` set the range of window sizes in quarter lengths.
The `windowStepSize` parameter determines the increment between these window sizes,
in quarter lengths.
If `minWindow` or `maxWindow` is None, the largest window size available will be set.
If `includeTotalWindow` is True, the largest window size will always be added.
>>> s = corpus.parse('bach/bwv324')
>>> ksAnalyzer = analysis.discrete.KrumhanslSchmuckler()
placing one part into analysis
>>> sopr = s.parts[0]
>>> wa = analysis.windowed.WindowedAnalysis(sopr, ksAnalyzer)
>>> solutions, colors, meta = wa.process(1, 1, includeTotalWindow=False)
>>> len(solutions) # we only have one series of windows
1
>>> solutions, colors, meta = wa.process(1, 2, includeTotalWindow=False)
>>> len(solutions) # we have two series of windows
2
>>> solutions[1]
[(<music21.pitch.Pitch B>, 'major', 0.6868...),
(<music21.pitch.Pitch B>, 'minor', 0.8308...),
(<music21.pitch.Pitch D>, 'major', 0.6868...),
(<music21.pitch.Pitch B>, 'minor', 0.8308...),...]
>>> colors[1]
['#ffb5ff', '#9b519b', '#ffd752', '#9b519b', ...]
>>> meta
[{'windowSize': 1}, {'windowSize': 2}]
'''
if maxWindow is None:
maxLength = len(self._windowedStream)
else:
maxLength = maxWindow
if minWindow is None:
minLength = len(self._windowedStream)
else:
minLength = minWindow
if windowType is None:
windowType = 'overlap'
elif windowType.lower() in ['overlap']:
windowType = 'overlap'
elif windowType.lower() in ['nooverlap', 'nonoverlapping']:
windowType = 'noOverlap'
elif windowType.lower() in ['adjacentaverage']:
windowType = 'adjacentAverage'
# need to create storage for the output of each row, or the processing
# of all windows of a single size across the entire Stream
solutionMatrix = []
colorMatrix = []
# store meta data about each row as a dictionary
metaMatrix = []
if common.isNum(windowStepSize):
windowSizes = list(range(minLength, maxLength + 1, windowStepSize))
else:
num, junk = common.getNumFromStr(windowStepSize)
windowSizes = []
x = minLength
while True:
windowSizes.append(x)
x = x * round(int(num))
if x > (maxLength * 0.75):
break
if includeTotalWindow:
totalWindow = len(self._windowedStream)
if totalWindow not in windowSizes:
windowSizes.append(totalWindow)
for i in windowSizes:
#environLocal.printDebug(['processing window:', i])
# each of these results are lists, where len is based on
soln, colorn = self.analyze(i, windowType=windowType)
# store lists of results in a list of lists
solutionMatrix.append(soln)
colorMatrix.append(colorn)
meta = {'windowSize': i}
metaMatrix.append(meta)
return solutionMatrix, colorMatrix, metaMatrix
def _setSrc(self, raw):
raw = raw.strip()
# get decimals and fractions
raw, junk = common.getNumFromStr(raw, numbers='0123456789./')
self.src = raw.strip()
def process(self, minWindow=1, maxWindow=1, windowStepSize=1,
windowType='overlap', includeTotalWindow=True):
''' Main method for windowed analysis across one or more window size.
Calls :meth:`~music21.analysis.WindowedAnalysis._analyze` for
the number of different window sizes to be analyzed.
The `minWindow` and `maxWindow` set the range of window sizes in quarter lengths. The `windowStepSize` parameter determines the increment between these window sizes, in quarter lengths.
If `minWindow` or `maxWindow` is None, the largest window size available will be set.
If `includeTotalWindow` is True, the largest window size will always be added.
>>> s = corpus.parse('bach/bwv324')
>>> p = analysis.discrete.KrumhanslSchmuckler()
>>> # placing one part into analysis
>>> wa = analysis.windowed.WindowedAnalysis(s.parts[0], p)
>>> x, y, z = wa.process(1, 1, includeTotalWindow=False)
>>> len(x) # we only have one series of windows
1
>>> y[0][0].startswith('#') # for each window, we get a solution and a color
True
>>> x[0][0][0]
<music21.pitch.Pitch B>
>>> x, y, z = wa.process(1, 2, includeTotalWindow=False)
>>> len(x) # we have two series of windows
2
>>> x[0][0] # the data returned is processor dependent; here we get
(<music21.pitch.Pitch B>, 'major', 0.6868258874056411)
>>> y[0][0].startswith('#') # a color is returned for each matching data position
True
'''
if maxWindow == None:
maxLength = len(self._windowedStream)
else:
maxLength = maxWindow
if minWindow == None:
minLength = len(self._windowedStream)
else:
minLength = minWindow
if windowType == None:
windowType = 'overlap'
elif windowType.lower() in ['overlap']:
windowType = 'overlap'
elif windowType.lower() in ['nooverlap', 'nonoverlapping']:
windowType = 'noOverlap'
elif windowType.lower() in ['adjacentaverage']:
windowType = 'adjacentAverage'
# need to create storage for the output of each row, or the processing
# of all windows of a single size across the entire Stream
solutionMatrix = []
colorMatrix = []
# store meta data about each row as a dictionary
metaMatrix = []
if common.isNum(windowStepSize):
windowSizes = list(range(minLength, maxLength+1, windowStepSize))
else:
num, junk = common.getNumFromStr(windowStepSize)
windowSizes = []
x = minLength
while True:
windowSizes.append(x)
x = x * int(round(float(num)))
if x > (maxLength * .75):
break
if includeTotalWindow:
totalWindow = len(self._windowedStream)
if totalWindow not in windowSizes:
windowSizes.append(totalWindow)
for i in windowSizes:
#environLocal.printDebug(['processing window:', i])
# each of these results are lists, where len is based on
soln, colorn = self._analyze(i, windowType=windowType)
# store lists of results in a list of lists
solutionMatrix.append(soln)
colorMatrix.append(colorn)
meta = {'windowSize': i}
metaMatrix.append(meta)
return solutionMatrix, colorMatrix, metaMatrix
def mxToMeasure(mxMeasure, inputM21):
'''Translate an mxMeasure (a MusicXML :class:`~music21.musicxml.Measure` object) into a music21 :class:`~music21.stream.Measure`.
If an `inputM21` object reference is provided, this object will be configured and returned; otherwise, a new :class:`~music21.stream.Measure` object is created.
'''
from music21 import stream
from music21 import chord
from music21 import dynamics
from music21 import key
from music21 import note
from music21 import layout
from music21 import bar
from music21 import clef
from music21 import meter
if inputM21 == None:
m = stream.Measure()
else:
m = inputM21
mNum, mSuffix = common.getNumFromStr(mxMeasure.get('number'))
# assume that measure numbers are integers
if mNum not in [None, '']:
m.number = int(mNum)
if mSuffix not in [None, '']:
m.numberSuffix = mSuffix
data = mxMeasure.get('width')
if data != None: # may need to do a format/unit conversion?
m.layoutWidth = data
junk = mxMeasure.get('implicit')
mxAttributes = mxMeasure.get('attributesObj')
mxAttributesInternal = True
# if we do not have defined mxAttributes, must get from stored attributes
if mxAttributes is None:
# need to keep track of where mxattributes src is coming from
# if attributes are defined in this measure, mxAttributesInternal
# is true
mxAttributesInternal = False
# not all measures have attributes definitions; this
# gets the last-encountered measure attributes
mxAttributes = mxMeasure.external['attributes']
if mxAttributes is None:
raise TranslateException(
'no mxAttribues available for this measure')
#environLocal.printDebug(['mxAttriutes clefList', mxAttributes.clefList,
# mxAttributesInternal])
if mxAttributesInternal and len(mxAttributes.timeList) != 0:
m.timeSignature = meter.TimeSignature()
m.timeSignature.mx = mxAttributes.timeList
if mxAttributesInternal is True and len(mxAttributes.clefList) != 0:
m.clef = clef.Clef()
m.clef.mx = mxAttributes.clefList
if mxAttributesInternal is True and len(mxAttributes.keyList) != 0:
m.keySignature = key.KeySignature()
m.keySignature.mx = mxAttributes.keyList
if mxAttributes.divisions is not None:
divisions = mxAttributes.divisions
else:
divisions = mxMeasure.external['divisions']
#environLocal.printDebug(['mxToMeasure(): divisions', divisions, mxMeasure.getVoiceCount()])
if mxMeasure.getVoiceCount() > 1:
useVoices = True
# count from zero
for id in mxMeasure.getVoiceIndices():
v = stream.Voice()
v.id = id
m.insert(0, v)
else:
useVoices = False
# iterate through components found on components list
# set to zero for each measure
offsetMeasureNote = 0 # offset of note w/n measure
mxNoteList = [] # for accumulating notes in chords
for i in range(len(mxMeasure)):
# try to get the next object for chord comparisons
mxObj = mxMeasure[i]
if i < len(mxMeasure)-1:
mxObjNext = mxMeasure[i+1]
else:
mxObjNext = None
# NOTE: tests have shown that using isinstance() here is much faster
# than checking the .tag attribute.
# check for backup and forward first
if isinstance(mxObj, musicxmlMod.Backup):
# resolve as quarterLength, subtract from measure offset
offsetMeasureNote -= float(mxObj.duration) / float(divisions)
continue
elif isinstance(mxObj, musicxmlMod.Forward):
# resolve as quarterLength, add to measure offset
offsetMeasureNote += float(mxObj.duration) / float(divisions)
continue
elif isinstance(mxObj, musicxmlMod.Print):
# mxPrint objects may be found in a Measure's componetns
# contain system layout information
mxPrint = mxObj
sl = layout.SystemLayout()
sl.mx = mxPrint
# store at zero position
m.insert(0, sl)
elif isinstance(mxObj, musicxmlMod.Barline):
# repeat is a tag found in the barline object
mxBarline = mxObj
mxRepeatObj = mxBarline.get('repeatObj')
if mxRepeatObj != None:
barline = bar.Repeat()
else:
barline = bar.Barline()
barline.mx = mxBarline # configure
if barline.location == 'left':
#environLocal.printDebug(['setting left barline', barline])
m.leftBarline = barline
elif barline.location == 'right':
#environLocal.printDebug(['setting right barline', barline])
m.rightBarline = barline
else:
environLocal.printDebug(['not handling barline that is neither left nor right', barline, barline.location])
elif isinstance(mxObj, musicxmlMod.Note):
mxNote = mxObj
if isinstance(mxObjNext, musicxmlMod.Note):
mxNoteNext = mxObjNext
else:
mxNoteNext = None
if mxNote.get('print-object') == 'no':
#environLocal.printDebug(['got mxNote with printObject == no', 'measure number', m.number])
continue
mxGrace = mxNote.get('graceObj')
if mxGrace is not None: # graces have a type but not a duration
#TODO: add grace notes with duration equal to ZeroDuration
#environLocal.printDebug(['got mxNote with an mxGrace', 'duration', mxNote.get('duration'), 'measure number',
#m.number])
continue
# the first note of a chord is not identified directly; only
# by looking at the next note can we tell if we have a chord
if mxNoteNext is not None and mxNoteNext.get('chord') is True:
if mxNote.get('chord') is False:
mxNote.set('chord', True) # set the first as a chord
if mxNote.get('rest') in [None, False]: # it is a note
# if a chord, do not increment until chord is complete
if mxNote.get('chord') is True:
mxNoteList.append(mxNote)
offsetIncrement = 0
else:
n = note.Note()
n.mx = mxNote
if useVoices:
m.voices[mxNote.voice].insert(offsetMeasureNote, n)
else:
m.insert(offsetMeasureNote, n)
offsetIncrement = n.quarterLength
for mxLyric in mxNote.lyricList:
lyricObj = note.Lyric()
lyricObj.mx = mxLyric
n.lyrics.append(lyricObj)
if mxNote.get('notationsObj') is not None:
for mxObjSub in mxNote.get('notationsObj'):
# deal with ornaments, strill, etc
pass
else: # its a rest
n = note.Rest()
n.mx = mxNote # assign mxNote to rest obj
#m.insert(offsetMeasureNote, n)
if useVoices:
m.voices[mxNote.voice].insert(offsetMeasureNote, n)
else:
m.insert(offsetMeasureNote, n)
offsetIncrement = n.quarterLength
# if we we have notes in the note list and the next
# note either does not exist or is not a chord, we
# have a complete chord
if len(mxNoteList) > 0 and (mxNoteNext is None
or mxNoteNext.get('chord') is False):
c = chord.Chord()
c.mx = mxNoteList
mxNoteList = [] # clear for next chord
#m.insert(offsetMeasureNote, c)
if useVoices:
m.voices[mxNote.voice].insert(offsetMeasureNote, c)
else:
m.insert(offsetMeasureNote, c)
offsetIncrement = c.quarterLength
# only increment Chords after completion
offsetMeasureNote += offsetIncrement
# load dynamics into Measure, not into Voice
elif isinstance(mxObj, musicxmlMod.Direction):
# mxDynamicsFound, mxWedgeFound = m._getMxDynamics(mxObj)
# for mxDirection in mxDynamicsFound:
if mxObj.getDynamicMark() is not None:
d = dynamics.Dynamic()
d.mx = mxObj
m.insert(offsetMeasureNote, d)
if mxObj.getWedge() is not None:
w = dynamics.Wedge()
w.mx = mxObj
m.insert(offsetMeasureNote, w)
