def test_quantizationtools_SilentQEvent___eq___02():
a = quantizationtools.SilentQEvent(1000)
b = quantizationtools.SilentQEvent(1000, ['foo', 'bar', 'baz'])
c = quantizationtools.SilentQEvent(9999)
assert a != b
assert a != c
def test_quantizationtools_QGrid___eq___02():
a = quantizationtools.QGrid(
root_node=quantizationtools.QGridContainer(
preprolated_duration=1,
children=[
quantizationtools.QGridLeaf(
preprolated_duration=1,
q_event_proxies=[
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent(100),
0.5,
),
],
),
],
),
next_downbeat=quantizationtools.QGridLeaf(
preprolated_duration=1,
q_event_proxies=[
quantizationtools.QEventProxy(
quantizationtools.TerminalQEvent(200),
0.9,
),
],
),
)
b = quantizationtools.QGrid(
root_node=quantizationtools.QGridContainer(
preprolated_duration=1,
children=[
quantizationtools.QGridLeaf(
preprolated_duration=1,
q_event_proxies=[
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent(100),
0.5,
),
],
),
],
),
next_downbeat=quantizationtools.QGridLeaf(
preprolated_duration=1,
q_event_proxies=[
quantizationtools.QEventProxy(
quantizationtools.TerminalQEvent(200),
0.9,
),
],
),
)
assert format(a) == format(b)
assert a != b
def test_quantizationtools_QGrid___eq___03():
a = quantizationtools.QGrid()
b = quantizationtools.QGrid(root_node=quantizationtools.QGridContainer(
preprolated_duration=1,
children=[
quantizationtools.QGridLeaf(
preprolated_duration=1,
q_event_proxies=[
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent(100), 0.5)
],
),
],
), )
c = quantizationtools.QGrid(next_downbeat=quantizationtools.QGridLeaf(
preprolated_duration=1,
q_event_proxies=[
quantizationtools.QEventProxy(
quantizationtools.TerminalQEvent(200), 0.9),
],
), )
d = quantizationtools.QGrid(
root_node=quantizationtools.QGridContainer(
preprolated_duration=1,
children=[
quantizationtools.QGridLeaf(
preprolated_duration=1,
q_event_proxies=[
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent(100), 0.5),
],
),
],
),
next_downbeat=quantizationtools.QGridLeaf(
preprolated_duration=1,
q_event_proxies=[
quantizationtools.QEventProxy(
quantizationtools.TerminalQEvent(200),
0.9,
),
],
),
),
assert a != b
assert a != c
assert a != d
assert b != c
assert b != d
assert c != d
def test_quantizationtools_QEventSequence_from_tempo_scaled_leaves_02():
staff = abjad.Staff([])
staff.append(abjad.Note(0, (1, 4)))
staff.append(abjad.Rest((1, 4)))
staff.append(abjad.Rest((1, 8)))
staff.append(abjad.Note(1, (1, 8)))
staff.append(abjad.Note(1, (1, 8)))
staff.append(abjad.Note(2, (1, 8)))
staff.append(abjad.Note(2, (1, 8)))
staff.append(abjad.Note(3, (1, 8)))
staff.append(abjad.Skip((1, 4)))
staff.append(abjad.Rest((1, 4)))
staff.append(abjad.Note(3, (1, 8)))
staff.append(abjad.Chord([0, 1, 4], (1, 4)))
tie = abjad.Tie()
abjad.attach(tie, staff[3:5])
tie = abjad.Tie()
abjad.attach(tie, staff[5:7])
tempo = abjad.MetronomeMark((1, 4), 58)
abjad.attach(tempo, staff[0], context='Staff')
tempo = abjad.MetronomeMark((1, 4), 77)
abjad.attach(tempo, staff[9], context='Staff')
leaves = abjad.select(staff).leaves()
q_events = quantizationtools.QEventSequence.from_tempo_scaled_leaves(
leaves)
assert q_events == quantizationtools.QEventSequence(
(quantizationtools.PitchedQEvent(abjad.Offset(0, 1),
(abjad.NamedPitch("c'"), )),
quantizationtools.SilentQEvent(abjad.Offset(30000, 29)),
quantizationtools.PitchedQEvent(abjad.Offset(75000, 29),
(abjad.NamedPitch("cs'"), )),
quantizationtools.PitchedQEvent(abjad.Offset(105000, 29),
(abjad.NamedPitch("d'"), )),
quantizationtools.PitchedQEvent(abjad.Offset(135000, 29),
(abjad.NamedPitch("ef'"), )),
quantizationtools.SilentQEvent(abjad.Offset(150000, 29)),
quantizationtools.PitchedQEvent(abjad.Offset(15600000, 2233),
(abjad.NamedPitch("ef'"), )),
quantizationtools.PitchedQEvent(abjad.Offset(16470000, 2233), (
abjad.NamedPitch("c'"),
abjad.NamedPitch("cs'"),
abjad.NamedPitch("e'"),
)), quantizationtools.TerminalQEvent(abjad.Offset(18210000, 2233))))
def test_quantizationtools_SilentQEvent___init___02():
q_event = quantizationtools.SilentQEvent(abjad.Offset(155, 7),
attachments=['foo', 'bar', 'baz'])
assert q_event.offset == abjad.Offset(155, 7)
assert q_event.attachments == ('foo', 'bar', 'baz')
def test_quantizationtools_QGrid_pickle_01():
q_grid = quantizationtools.QGrid(
root_node=quantizationtools.QGridContainer(
preprolated_duration=1,
children=[
quantizationtools.QGridLeaf(
preprolated_duration=1,
q_event_proxies=[
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent(100),
0.5,
),
],
),
],
),
next_downbeat=quantizationtools.QGridLeaf(
preprolated_duration=1,
q_event_proxies=[
quantizationtools.QEventProxy(
quantizationtools.TerminalQEvent(200),
0.9,
),
],
),
)
pickled = pickle.loads(pickle.dumps(q_grid))
assert format(pickled) == format(q_grid)
assert pickled is not q_grid
assert pickled != q_grid, \
systemtools.TestManager.diff(pickled, q_grid, 'Diff:')
def from_tempo_scaled_durations(class_, durations, tempo=None):
r'''Convert ``durations``, scaled by ``tempo``
into a ``QEventSequence``:
>>> tempo = abjad.MetronomeMark((1, 4), 174)
>>> durations = [(1, 4), (-3, 16), (1, 16), (-1, 2)]
>>> sequence = \
... abjad.quantizationtools.QEventSequence.from_tempo_scaled_durations(
... durations, tempo=tempo)
>>> for q_event in sequence:
... print(format(q_event, 'storage'))
...
abjad.quantizationtools.PitchedQEvent(
offset=abjad.Offset(0, 1),
pitches=(
abjad.NamedPitch("c'"),
),
)
abjad.quantizationtools.SilentQEvent(
offset=abjad.Offset(10000, 29),
)
abjad.quantizationtools.PitchedQEvent(
offset=abjad.Offset(17500, 29),
pitches=(
abjad.NamedPitch("c'"),
),
)
abjad.quantizationtools.SilentQEvent(
offset=abjad.Offset(20000, 29),
)
abjad.quantizationtools.TerminalQEvent(
offset=abjad.Offset(40000, 29),
)
Returns ``QEventSequence`` instance.
'''
import abjad
from abjad.tools import quantizationtools
durations = [abjad.Duration(x) for x in durations]
assert isinstance(tempo, indicatortools.MetronomeMark)
durations = [
x for x in abjad.sequence(durations).sum_by_sign(sign=[-1]) if x
]
durations = [tempo.duration_to_milliseconds(_) for _ in durations]
offsets = mathtools.cumulative_sums([abs(_) for _ in durations])
q_events = []
for pair in zip(offsets, durations):
offset = abjad.Offset(pair[0])
duration = pair[1]
# negative duration indicates silence
if duration < 0:
q_event = quantizationtools.SilentQEvent(offset)
# otherwise use middle C
else:
q_event = quantizationtools.PitchedQEvent(offset, [0])
q_events.append(q_event)
# insert terminating silence QEvent
q_events.append(quantizationtools.TerminalQEvent(offsets[-1]))
return class_(q_events)
def test_quantizationtools_PitchedQEvent___eq___03():
a = quantizationtools.TerminalQEvent(100)
b = quantizationtools.PitchedQEvent(100, [0])
c = quantizationtools.SilentQEvent(100)
assert a != b
assert a != c
def test_quantizationtools_QGridLeaf___eq___02():
a = quantizationtools.QGridLeaf(1, [])
b = quantizationtools.QGridLeaf(1, [
quantizationtools.QEventProxy(quantizationtools.SilentQEvent(1000),
0.5)
])
c = quantizationtools.QGridLeaf(2, [])
d = quantizationtools.QGridLeaf(2, [
quantizationtools.QEventProxy(quantizationtools.SilentQEvent(1000),
0.5)
])
assert a != b
assert a != c
assert a != d
assert b != c
assert b != d
assert c != d
def test_quantizationtools_QEventSequence_from_tempo_scaled_leaves_01():
staff = abjad.Staff([])
staff.append(abjad.Note(0, (1, 4)))
staff.append(abjad.Rest((1, 4)))
staff.append(abjad.Rest((1, 8)))
staff.append(abjad.Note(1, (1, 8)))
staff.append(abjad.Note(1, (1, 8)))
staff.append(abjad.Note(2, (1, 8)))
staff.append(abjad.Note(2, (1, 8)))
staff.append(abjad.Note(3, (1, 8)))
staff.append(abjad.Skip((1, 4)))
staff.append(abjad.Rest((1, 4)))
staff.append(abjad.Note(3, (1, 8)))
staff.append(abjad.Chord([0, 1, 4], (1, 4)))
tie = abjad.Tie()
abjad.attach(tie, staff[3:5])
tie = abjad.Tie()
abjad.attach(tie, staff[5:7])
tempo = abjad.MetronomeMark((1, 4), 55)
leaves = abjad.select(staff).leaves()
q_events = quantizationtools.QEventSequence.from_tempo_scaled_leaves(
leaves, tempo)
assert q_events == quantizationtools.QEventSequence(
(quantizationtools.PitchedQEvent(abjad.Offset(0, 1),
(abjad.NamedPitch("c'"), )),
quantizationtools.SilentQEvent(abjad.Offset(12000, 11)),
quantizationtools.PitchedQEvent(abjad.Offset(30000, 11),
(abjad.NamedPitch("cs'"), )),
quantizationtools.PitchedQEvent(abjad.Offset(42000, 11),
(abjad.NamedPitch("d'"), )),
quantizationtools.PitchedQEvent(abjad.Offset(54000, 11),
(abjad.NamedPitch("ef'"), )),
quantizationtools.SilentQEvent(abjad.Offset(60000, 11)),
quantizationtools.PitchedQEvent(abjad.Offset(84000, 11),
(abjad.NamedPitch("ef'"), )),
quantizationtools.PitchedQEvent(abjad.Offset(90000, 11), (
abjad.NamedPitch("c'"),
abjad.NamedPitch("cs'"),
abjad.NamedPitch("e'"),
)), quantizationtools.TerminalQEvent(abjad.Offset(102000, 11))))
def test_quantizationtools_QGridLeaf___copy___02():
leaf = quantizationtools.QGridLeaf(2, [
quantizationtools.QEventProxy(quantizationtools.SilentQEvent(1000), 0.5)
])
copied = copy.copy(leaf)
assert format(leaf) == format(copied)
assert leaf != copied
assert leaf is not copied
def test_quantizationtools_QGrid___call___03():
r'''Non-binary works too.
'''
q_grid = quantizationtools.QGrid()
q_grid.subdivide_leaves([(0, (1, 1))])
a = quantizationtools.QEventProxy(quantizationtools.SilentQEvent(0, ['A']),
0)
b = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 20), ['B']), (1, 20))
c = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((9, 20), ['C']), (9, 20))
d = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 2), ['D']), (1, 2))
e = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((11, 20), ['E']), (11, 20))
f = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((19, 20), ['F']), (19, 20))
g = quantizationtools.QEventProxy(quantizationtools.SilentQEvent(1, ['G']),
1)
q_grid.fit_q_events([a, b, c, d, e, f, g])
result = q_grid((1, 3))
assert isinstance(result, list) and len(result) == 1
assert format(result[0]) == abjad.String.normalize(r'''
\tweak edge-height #'(0.7 . 0)
\times 2/3 {
c'4
c'4
}
''')
def test_quantizationtools_QGrid_fit_q_events_01():
q_grid = quantizationtools.QGrid()
a = quantizationtools.QEventProxy(quantizationtools.SilentQEvent(0, ['A']),
0)
b = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 20), ['B']), (1, 20))
c = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((9, 20), ['C']), (9, 20))
d = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 2), ['D']), (1, 2))
e = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((11, 20), ['E']), (11, 20))
f = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((19, 20), ['F']), (19, 20))
g = quantizationtools.QEventProxy(quantizationtools.SilentQEvent(1, ['G']),
1)
q_grid.fit_q_events([a, b, c, d, e, f, g])
assert q_grid.leaves[0].q_event_proxies == [a, b, c, d]
assert q_grid.leaves[1].q_event_proxies == [e, f, g]
q_events = q_grid.subdivide_leaves([(0, (1, 1))])
q_grid.fit_q_events(q_events)
assert q_grid.leaves[0].q_event_proxies == [a, b]
assert q_grid.leaves[1].q_event_proxies == [c, d, e]
assert q_grid.leaves[2].q_event_proxies == [g, f]
def test_quantizationtools_QGrid___call___01():
q_grid = quantizationtools.QGrid()
a = quantizationtools.QEventProxy(quantizationtools.SilentQEvent(0, ['A']),
0)
b = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 20), ['B']), (1, 20))
c = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((9, 20), ['C']), (9, 20))
d = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 2), ['D']), (1, 2))
e = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((11, 20), ['E']), (11, 20))
f = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((19, 20), ['F']), (19, 20))
g = quantizationtools.QEventProxy(quantizationtools.SilentQEvent(1, ['G']),
1)
q_grid.fit_q_events([a, b, c, d, e, f, g])
result = q_grid((1, 4))
assert len(result) == 1
assert format(result[0]) == "c'4"
annotation = abjad.inspect(result[0]).get_indicator(dict)
q_events = annotation['q_events']
assert isinstance(q_events, tuple) and len(q_events) == 4
assert q_events[0].attachments == ('A', )
assert q_events[1].attachments == ('B', )
assert q_events[2].attachments == ('C', )
assert q_events[3].attachments == ('D', )
def test_quantizationtools_QEventSequence_from_millisecond_durations_03():
r'''Silences are fused.
'''
durations = [100, -100, 100, -100, -100, 100]
q_events = quantizationtools.QEventSequence.from_millisecond_durations(
durations, fuse_silences=True)
assert q_events == quantizationtools.QEventSequence(
(quantizationtools.PitchedQEvent(abjad.Offset(0),
(abjad.NamedPitch("c'"), )),
quantizationtools.SilentQEvent(abjad.Offset(100)),
quantizationtools.PitchedQEvent(abjad.Offset(200),
(abjad.NamedPitch("c'"), )),
quantizationtools.SilentQEvent(abjad.Offset(300)),
quantizationtools.PitchedQEvent(abjad.Offset(500),
(abjad.NamedPitch("c'"), )),
quantizationtools.TerminalQEvent(abjad.Offset(600))))
def test_quantizationtools_QGrid___call___02():
q_grid = quantizationtools.QGrid()
q_grid.subdivide_leaves([(0, (1, 1, 1))])
q_grid.subdivide_leaves([(1, (1, 1))])
q_grid.subdivide_leaves([(-2, (1, 1, 1))])
a = quantizationtools.QEventProxy(quantizationtools.SilentQEvent(0, ['A']),
0)
b = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 20), ['B']), (1, 20))
c = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((9, 20), ['C']), (9, 20))
d = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 2), ['D']), (1, 2))
e = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((11, 20), ['E']), (11, 20))
f = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((19, 20), ['F']), (19, 20))
g = quantizationtools.QEventProxy(quantizationtools.SilentQEvent(1, ['G']),
1)
q_grid.fit_q_events([a, b, c, d, e, f, g])
result = q_grid((1, 4))
assert isinstance(result, list) and len(result) == 1
assert format(result[0]) == abjad.String.normalize(r'''
\times 2/3 {
c'8
c'16
c'16
\times 2/3 {
c'16
c'16
c'16
}
}
''')
leaves = abjad.select(result[0]).leaves()
leaf = leaves[0]
annotation = abjad.inspect(leaf).get_indicator(dict)
q_events = annotation['q_events']
assert isinstance(q_events, tuple) and len(q_events) == 2
assert q_events[0].attachments == ('A', )
assert q_events[1].attachments == ('B', )
leaf = leaves[1]
assert not abjad.inspect(leaf).get_indicator(dict)
leaf = leaves[2]
annotation = abjad.inspect(leaf).get_indicator(dict)
q_events = annotation['q_events']
assert isinstance(q_events, tuple) and len(q_events) == 3
assert q_events[0].attachments == ('C', )
assert q_events[1].attachments == ('D', )
assert q_events[2].attachments == ('E', )
for leaf in leaves[3:6]:
assert not abjad.inspect(leaf).get_indicators(dict)
def test_quantizationtools_QEventSequence_from_millisecond_pitch_pairs_01():
durations = [100, 200, 100, 300, 350, 400, 600]
pitches = [0, None, None, [1, 4], None, 5, 7]
pairs = tuple(zip(durations, pitches))
q_events = quantizationtools.QEventSequence.from_millisecond_pitch_pairs(
pairs)
assert q_events == quantizationtools.QEventSequence((
quantizationtools.PitchedQEvent(
abjad.Offset(0),
(abjad.NamedPitch("c'"),)
),
quantizationtools.SilentQEvent(
abjad.Offset(100, 1)
),
quantizationtools.PitchedQEvent(
abjad.Offset(400, 1),
(
abjad.NamedPitch("cs'"),
abjad.NamedPitch("e'")
)
),
quantizationtools.SilentQEvent(
abjad.Offset(700, 1)
),
quantizationtools.PitchedQEvent(
abjad.Offset(1050, 1),
(abjad.NamedPitch("f'"),)
),
quantizationtools.PitchedQEvent(
abjad.Offset(1450, 1),
(abjad.NamedPitch("g'"),)
),
quantizationtools.TerminalQEvent(
abjad.Offset(2050, 1),
)
))
def test_quantizationtools_QEventSequence_from_tempo_scaled_durations_02():
r'''Silences are fused.
'''
durations = [
abjad.Duration(x)
for x in [(1, 4), (-1, 4), (1, 4), (1, 4), (-1, 4), (-1, 4), (1, 4)]
]
tempo = abjad.MetronomeMark((1, 4), 77)
q_events = quantizationtools.QEventSequence.from_tempo_scaled_durations(
durations, tempo)
assert q_events == quantizationtools.QEventSequence(
(quantizationtools.PitchedQEvent(abjad.Offset(0, 1),
(abjad.NamedPitch("c'"), )),
quantizationtools.SilentQEvent(abjad.Offset(60000, 77)),
quantizationtools.PitchedQEvent(abjad.Offset(120000, 77),
(abjad.NamedPitch("c'"), )),
quantizationtools.PitchedQEvent(abjad.Offset(180000, 77),
(abjad.NamedPitch("c'"), )),
quantizationtools.SilentQEvent(abjad.Offset(240000, 77)),
quantizationtools.PitchedQEvent(abjad.Offset(360000, 77),
(abjad.NamedPitch("c'"), )),
quantizationtools.TerminalQEvent(abjad.Offset(60000, 11))))
def test_quantizationtools_QGrid_distance_01():
q_grid = quantizationtools.QGrid()
assert q_grid.distance is None
a = quantizationtools.QEventProxy(quantizationtools.SilentQEvent(0, ['A']), 0)
q_grid.fit_q_events([a])
assert q_grid.distance == abjad.Offset(0)
b = quantizationtools.QEventProxy(quantizationtools.SilentQEvent((1, 20), ['B']), (1, 20))
q_grid.fit_q_events([b])
assert q_grid.distance == abjad.Offset(1, 40)
c = quantizationtools.QEventProxy(quantizationtools.SilentQEvent((9, 20), ['C']), (9, 20))
q_grid.fit_q_events([c])
assert q_grid.distance == abjad.Offset(1, 6)
d = quantizationtools.QEventProxy(quantizationtools.SilentQEvent((1, 2), ['D']), (1, 2))
q_grid.fit_q_events([d])
assert q_grid.distance == abjad.Offset(1, 4)
e = quantizationtools.QEventProxy(quantizationtools.SilentQEvent((11, 20), ['E']), (11, 20))
q_grid.fit_q_events([e])
assert q_grid.distance == abjad.Offset(29, 100)
f = quantizationtools.QEventProxy(quantizationtools.SilentQEvent((19, 20), ['F']), (19, 20))
q_grid.fit_q_events([f])
assert q_grid.distance == abjad.Offset(1, 4)
g = quantizationtools.QEventProxy(quantizationtools.SilentQEvent(1, ['G']), 1)
q_grid.fit_q_events([g])
assert q_grid.distance == abjad.Offset(3, 14)
q_events = q_grid.subdivide_leaves([(0, (1, 1))])
q_grid.fit_q_events(q_events)
assert q_grid.distance == abjad.Offset(1, 35)
def test_quantizationtools_QGrid_subdivide_leaves_02():
q_grid = quantizationtools.QGrid()
a = quantizationtools.QEventProxy(quantizationtools.SilentQEvent(0, ['A']),
0)
b = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 20), ['B']), (1, 20))
c = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((9, 20), ['C']), (9, 20))
d = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 2), ['D']), (1, 2))
e = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((11, 20), ['E']), (11, 20))
f = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((19, 20), ['F']), (19, 20))
g = quantizationtools.QEventProxy(quantizationtools.SilentQEvent(1, ['G']),
1)
q_grid.leaves[0].q_event_proxies.extend([a, b, c, d])
q_grid.leaves[1].q_event_proxies.extend([e, f, g])
assert q_grid.root_node.rtm_format == '1'
q_events = q_grid.subdivide_leaves([(0, (1, 1))])
assert q_events == [a, b, c, d, e, f]
assert q_grid.root_node.rtm_format == '(1 (1 1))'
q_grid.leaves[0].q_event_proxies.extend([a, b])
q_grid.leaves[1].q_event_proxies.extend([c, d, e])
q_grid.leaves[2].q_event_proxies.append(f)
q_events = q_grid.subdivide_leaves([(0, (3, 4, 5))])
assert q_events == [a, b, c]
assert q_grid.root_node.rtm_format == '(1 ((1 (3 4 5)) 1))'
def from_millisecond_durations(cls, milliseconds, fuse_silences=False):
r'''Convert a sequence of millisecond durations ``durations`` into
a ``QEventSequence``:
::
>>> durations = [-250, 500, -1000, 1250, -1000]
::
>>> sequence = \
... quantizationtools.QEventSequence.from_millisecond_durations(
... durations)
::
>>> for q_event in sequence:
... print(format(q_event, 'storage'))
...
quantizationtools.SilentQEvent(
offset=durationtools.Offset(0, 1),
)
quantizationtools.PitchedQEvent(
offset=durationtools.Offset(250, 1),
pitches=(
pitchtools.NamedPitch("c'"),
),
)
quantizationtools.SilentQEvent(
offset=durationtools.Offset(750, 1),
)
quantizationtools.PitchedQEvent(
offset=durationtools.Offset(1750, 1),
pitches=(
pitchtools.NamedPitch("c'"),
),
)
quantizationtools.SilentQEvent(
offset=durationtools.Offset(3000, 1),
)
quantizationtools.TerminalQEvent(
offset=durationtools.Offset(4000, 1),
)
Returns ``QEventSequence`` instance.
'''
from abjad.tools import quantizationtools
if fuse_silences:
durations = [x for x in \
sequencetools.sum_consecutive_elements_by_sign(
milliseconds, sign=[-1]) if x]
else:
durations = milliseconds
offsets = mathtools.cumulative_sums([abs(x) for x in durations])
q_events = []
for pair in zip(offsets, durations):
offset = durationtools.Offset(pair[0])
duration = pair[1]
if duration < 0: # negative duration indicates silence
q_event = quantizationtools.SilentQEvent(offset)
else:
q_event = quantizationtools.PitchedQEvent(offset, [0])
q_events.append(q_event)
q_events.append(
quantizationtools.TerminalQEvent(durationtools.Offset(
offsets[-1])))
return cls(q_events)
def test_quantizationtools_UnweightedSearchTree___call___01():
definition = {2: {2: {2: None}, 3: None}, 5: None}
search_tree = quantizationtools.UnweightedSearchTree(definition)
q_grid = quantizationtools.QGrid()
a = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent(0, ['A'], index=1), 0, 1)
b = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 5), ['B'], index=2), 0, 1)
c = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 4), ['C'], index=3), 0, 1)
d = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 3), ['D'], index=4), 0, 1)
e = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((2, 5), ['E'], index=5), 0, 1)
f = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 2), ['F'], index=6), 0, 1)
g = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((3, 5), ['G'], index=7), 0, 1)
h = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((2, 3), ['H'], index=8), 0, 1)
i = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((3, 4), ['I'], index=9), 0, 1)
j = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((4, 5), ['J'], index=10), 0, 1)
k = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent(1, ['K'], index=11), 0, 1)
q_grid.fit_q_events([a, b, c, d, e, f, g, h, i, j, k])
q_grids = search_tree(q_grid)
assert q_grids[0].root_node.rtm_format == '(1 (1 1))'
assert q_grids[1].root_node.rtm_format == '(1 (1 1 1 1 1))'
def test_quantizationtools_ParallelJobHandler___call___02():
job_id = 1
definition = {2: {2: {2: None}, 3: None}, 5: None}
search_tree = quantizationtools.UnweightedSearchTree(definition)
q_event_proxies = [
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent(0, ['A'], index=1), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 5), ['B'], index=2), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 4), ['C'], index=3), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 3), ['D'], index=4), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((2, 5), ['E'], index=5), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 2), ['F'], index=6), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((3, 5), ['G'], index=7), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((2, 3), ['H'], index=8), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((3, 4), ['I'], index=9), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((4, 5), ['J'], index=10), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent(1, ['K'], index=11), 0, 1)
]
job_a = quantizationtools.QuantizationJob(job_id, search_tree,
q_event_proxies)
job_b = quantizationtools.QuantizationJob(job_id, search_tree,
q_event_proxies)
assert job_a == job_b
a_jobs = quantizationtools.SerialJobHandler()([job_a])
b_jobs = quantizationtools.ParallelJobHandler()([job_b])
assert len(a_jobs) == len(b_jobs)
a_rtms = sorted(
[q_grid.root_node.rtm_format for q_grid in a_jobs[0].q_grids])
b_rtms = sorted(
[q_grid.root_node.rtm_format for q_grid in b_jobs[0].q_grids])
assert a_rtms == b_rtms
assert sorted(a_jobs[0].q_grids, key=lambda x: x.root_node.rtm_format) == \
sorted(b_jobs[0].q_grids, key=lambda x: x.root_node.rtm_format)
def test_quantizationtools_QuantizationJob___call___01():
job_id = 1
definition = {2: {2: {2: None}, 3: None}, 5: None}
search_tree = quantizationtools.UnweightedSearchTree(definition)
q_event_proxies = [
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent(0, ['A'], index=1), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 5), ['B'], index=2), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 4), ['C'], index=3), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 3), ['D'], index=4), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((2, 5), ['E'], index=5), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 2), ['F'], index=6), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((3, 5), ['G'], index=7), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((2, 3), ['H'], index=8), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((3, 4), ['I'], index=9), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((4, 5), ['J'], index=10), 0, 1),
quantizationtools.QEventProxy(
quantizationtools.SilentQEvent(1, ['K'], index=11), 0, 1)
]
job = quantizationtools.QuantizationJob(job_id, search_tree,
q_event_proxies)
job()
assert len(job.q_grids) == 10
rtm_formats = [q_grid.root_node.rtm_format for q_grid in job.q_grids]
rtm_formats.sort(reverse=True)
assert rtm_formats == [
'1', '(1 (1 1))', '(1 (1 1 1 1 1))', '(1 ((1 (1 1)) (1 (1 1))))',
'(1 ((1 (1 1)) (1 (1 1 1))))', '(1 ((1 (1 1 1)) (1 (1 1))))',
'(1 ((1 (1 1 1)) (1 (1 1 1))))',
'(1 ((1 (1 1 1)) (1 ((1 (1 1)) (1 (1 1))))))',
'(1 ((1 ((1 (1 1)) (1 (1 1)))) (1 (1 1 1))))',
'(1 ((1 ((1 (1 1)) (1 (1 1)))) (1 ((1 (1 1)) (1 (1 1))))))'
], rtm_formats
def test_quantizationtools_SilentQEvent___eq___01():
a = quantizationtools.SilentQEvent(1000)
b = quantizationtools.SilentQEvent(1000)
assert a == b
def from_millisecond_pitch_pairs(cls, pairs):
r'''Convert millisecond-duration:pitch pairs ``pairs`` into a
``QEventSequence``:
::
>>> durations = [250, 500, 1000, 1250, 1000]
>>> pitches = [(0,), None, (2, 3), None, (1,)]
>>> pairs = tuple(zip(durations, pitches))
::
>>> sequence = \
... quantizationtools.QEventSequence.from_millisecond_pitch_pairs(
... pairs)
::
>>> for q_event in sequence:
... print(format(q_event, 'storage'))
...
quantizationtools.PitchedQEvent(
offset=durationtools.Offset(0, 1),
pitches=(
pitchtools.NamedPitch("c'"),
),
)
quantizationtools.SilentQEvent(
offset=durationtools.Offset(250, 1),
)
quantizationtools.PitchedQEvent(
offset=durationtools.Offset(750, 1),
pitches=(
pitchtools.NamedPitch("d'"),
pitchtools.NamedPitch("ef'"),
),
)
quantizationtools.SilentQEvent(
offset=durationtools.Offset(1750, 1),
)
quantizationtools.PitchedQEvent(
offset=durationtools.Offset(3000, 1),
pitches=(
pitchtools.NamedPitch("cs'"),
),
)
quantizationtools.TerminalQEvent(
offset=durationtools.Offset(4000, 1),
)
Returns ``QEventSequence`` instance.
'''
from abjad.tools import quantizationtools
assert isinstance(pairs, collections.Iterable)
assert all(isinstance(x, collections.Iterable) for x in pairs)
assert all(len(x) == 2 for x in pairs)
assert all(0 < x[0] for x in pairs)
for pair in pairs:
assert isinstance(
pair[1], (numbers.Number, type(None), collections.Iterable))
if isinstance(pair[1], collections.Iterable):
assert 0 < len(pair[1])
assert all(isinstance(x, numbers.Number) for x in pair[1])
# fuse silences
g = itertools.groupby(pairs, lambda x: x[1] is not None)
groups = []
for value, group in g:
if value:
groups.extend(list(group))
else:
duration = sum(x[0] for x in group)
groups.append((duration, None))
# find offsets
offsets = mathtools.cumulative_sums([abs(x[0]) for x in groups])
# build QEvents
q_events = []
for pair in zip(offsets, groups):
offset = durationtools.Offset(pair[0])
pitches = pair[1][1]
if isinstance(pitches, collections.Iterable):
assert all(isinstance(x, numbers.Number) for x in pitches)
q_events.append(
quantizationtools.PitchedQEvent(offset, pitches))
elif isinstance(pitches, type(None)):
q_events.append(quantizationtools.SilentQEvent(offset))
elif isinstance(pitches, numbers.Number):
q_events.append(
quantizationtools.PitchedQEvent(offset, [pitches]))
q_events.append(
quantizationtools.TerminalQEvent(durationtools.Offset(
offsets[-1])))
return cls(q_events)
def test_quantizationtools_WeightedSearchTree___call___01():
definition = {
'divisors': (2, 3, 5, 7),
'max_depth': 3,
'max_divisions': 2,
}
search_tree = quantizationtools.WeightedSearchTree(definition)
q_grid = quantizationtools.QGrid()
a = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent(0, ['A'], index=1), 0, 1)
b = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 5), ['B'], index=2), 0, 1)
c = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 4), ['C'], index=3), 0, 1)
d = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 3), ['D'], index=4), 0, 1)
e = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((2, 5), ['E'], index=5), 0, 1)
f = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 2), ['F'], index=6), 0, 1)
g = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((3, 5), ['G'], index=7), 0, 1)
h = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((2, 3), ['H'], index=8), 0, 1)
i = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((3, 4), ['I'], index=9), 0, 1)
j = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((4, 5), ['J'], index=10), 0, 1)
k = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent(1, ['K'], index=11), 0, 1)
q_grid.fit_q_events([a, b, c, d, e, f, g, h, i, j, k])
q_grids = search_tree(q_grid)
assert [q_grid.root_node.rtm_format for q_grid in q_grids] == [
'(1 (1 1))', '(1 (2 1))', '(1 (1 2))', '(1 (4 1))', '(1 (3 2))',
'(1 (2 3))', '(1 (1 4))', '(1 (6 1))', '(1 (5 2))', '(1 (4 3))',
'(1 (3 4))', '(1 (2 5))', '(1 (1 6))'
]
def test_quantizationtools_QuantizationJob_pickle_01():
job_id = 1
definition = {
2: {
2: {
2: None
},
3: None
},
5: None
}
search_tree = quantizationtools.UnweightedSearchTree(definition)
q_event_proxies = [
quantizationtools.QEventProxy(quantizationtools.SilentQEvent(0, ['A'], index=1), 0, 1),
quantizationtools.QEventProxy(quantizationtools.SilentQEvent((1, 5), ['B'], index=2), 0, 1),
quantizationtools.QEventProxy(quantizationtools.SilentQEvent((1, 4), ['C'], index=3), 0, 1),
quantizationtools.QEventProxy(quantizationtools.SilentQEvent((1, 3), ['D'], index=4), 0, 1),
quantizationtools.QEventProxy(quantizationtools.SilentQEvent((2, 5), ['E'], index=5), 0, 1),
quantizationtools.QEventProxy(quantizationtools.SilentQEvent((1, 2), ['F'], index=6), 0, 1),
quantizationtools.QEventProxy(quantizationtools.SilentQEvent((3, 5), ['G'], index=7), 0, 1),
quantizationtools.QEventProxy(quantizationtools.SilentQEvent((2, 3), ['H'], index=8), 0, 1),
quantizationtools.QEventProxy(quantizationtools.SilentQEvent((3, 4), ['I'], index=9), 0, 1),
quantizationtools.QEventProxy(quantizationtools.SilentQEvent((4, 5), ['J'], index=10), 0, 1),
quantizationtools.QEventProxy(quantizationtools.SilentQEvent(1, ['K'], index=11), 0, 1)
]
job = quantizationtools.QuantizationJob(job_id, search_tree, q_event_proxies)
pickled = pickle.loads(pickle.dumps(job))
assert pickled is not job
assert format(pickled) == format(job), \
systemtools.TestManager.diff(pickled, job, 'Diff:')
job()
pickled = pickle.loads(pickle.dumps(job))
assert pickled is not job
assert format(pickled) == format(job), \
systemtools.TestManager.diff(pickled, job, 'Diff:')
def from_tempo_scaled_durations(cls, durations, tempo=None):
r'''Convert ``durations``, scaled by ``tempo``
into a ``QEventSequence``:
::
>>> tempo = Tempo((1, 4), 174)
>>> durations = [(1, 4), (-3, 16), (1, 16), (-1, 2)]
::
>>> sequence = \
... quantizationtools.QEventSequence.from_tempo_scaled_durations(
... durations, tempo=tempo)
::
>>> for q_event in sequence:
... print(format(q_event, 'storage'))
...
quantizationtools.PitchedQEvent(
offset=durationtools.Offset(0, 1),
pitches=(
pitchtools.NamedPitch("c'"),
),
)
quantizationtools.SilentQEvent(
offset=durationtools.Offset(10000, 29),
)
quantizationtools.PitchedQEvent(
offset=durationtools.Offset(17500, 29),
pitches=(
pitchtools.NamedPitch("c'"),
),
)
quantizationtools.SilentQEvent(
offset=durationtools.Offset(20000, 29),
)
quantizationtools.TerminalQEvent(
offset=durationtools.Offset(40000, 29),
)
Returns ``QEventSequence`` instance.
'''
from abjad.tools import quantizationtools
durations = [durationtools.Duration(x) for x in durations]
assert isinstance(tempo, indicatortools.Tempo)
durations = [
x for x in sequencetools.sum_consecutive_elements_by_sign(
durations,
sign=[-1],
) if x
]
durations = [tempo.duration_to_milliseconds(x) for x in durations]
offsets = mathtools.cumulative_sums(abs(x) for x in durations)
q_events = []
for pair in zip(offsets, durations):
offset = durationtools.Offset(pair[0])
duration = pair[1]
if duration < 0: # negative duration indicates silence
q_event = quantizationtools.SilentQEvent(offset)
else: # otherwise, use middle-C
q_event = quantizationtools.PitchedQEvent(offset, [0])
q_events.append(q_event)
# insert terminating silence QEvent
q_events.append(quantizationtools.TerminalQEvent(offsets[-1]))
return cls(q_events)
def test_quantizationtools_SilentQEvent___init___01():
q_event = quantizationtools.SilentQEvent(130)
assert q_event.offset == abjad.Offset(130)
assert q_event.attachments == ()
