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 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_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_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___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_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___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_QGrid_subdivide_leaf_01():
q_grid = quantizationtools.QGrid()
a = quantizationtools.QEventProxy(quantizationtools.PitchedQEvent(0, [0]), 0)
b = quantizationtools.QEventProxy(quantizationtools.PitchedQEvent((9, 20), [1]), (9, 20))
c = quantizationtools.QEventProxy(quantizationtools.PitchedQEvent((1, 2), [2]), (1, 2))
d = quantizationtools.QEventProxy(quantizationtools.PitchedQEvent((11, 20), [3]), (11, 20))
e = quantizationtools.QEventProxy(quantizationtools.PitchedQEvent(1, [4]), 1)
q_grid.leaves[0].q_event_proxies.extend([a, b, c, d])
q_grid.leaves[1].q_event_proxies.append(e)
result = q_grid.subdivide_leaf(q_grid.leaves[0], (2, 3))
assert result == [a, b, c, d]
root_node = quantizationtools.QGridContainer(
children=[
quantizationtools.QGridLeaf(preprolated_duration=2, q_event_proxies=[]),
quantizationtools.QGridLeaf(preprolated_duration=3, q_event_proxies=[]),
],
preprolated_duration=1
)
assert format(q_grid.root_node) == format(root_node)
def __call__(self, job_id):
r'''Calls q-target beat.
Returns quantization job.
'''
from abjad.tools import quantizationtools
if not self.q_events:
return None
assert all(
isinstance(x, quantizationtools.QEvent) for x in self.q_events)
q_event_proxies = []
for q_event in self.q_events:
q_event_proxy = quantizationtools.QEventProxy(
q_event,
self.offset_in_ms,
self.offset_in_ms + self.duration_in_ms,
)
q_event_proxies.append(q_event_proxy)
return quantizationtools.QuantizationJob(job_id, self.search_tree,
q_event_proxies)
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 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_UnweightedSearchTree__find_divisible_leaf_indices_and_subdivisions_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']),
0, 1)
b = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 5), ['B']), 0, 1)
c = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 4), ['C']), 0, 1)
d = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 3), ['D']), 0, 1)
e = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((2, 5), ['E']), 0, 1)
f = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((1, 2), ['F']), 0, 1)
g = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((3, 5), ['G']), 0, 1)
h = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((2, 3), ['H']), 0, 1)
i = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((3, 4), ['I']), 0, 1)
j = quantizationtools.QEventProxy(
quantizationtools.SilentQEvent((4, 5), ['J']), 0, 1)
k = quantizationtools.QEventProxy(quantizationtools.SilentQEvent(1, ['K']),
0, 1)
q_grid.fit_q_events([a, b, c, d, e, f, g, h, i, j, k])
indices, subdivisions = search_tree._find_divisible_leaf_indices_and_subdivisions(
q_grid)
assert indices == [0]
assert subdivisions == [((1, 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_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_QEventProxy___init___02():
q_event = quantizationtools.PitchedQEvent(130, [0, 1, 4])
proxy = quantizationtools.QEventProxy(q_event, 100, 1000)
assert proxy.q_event == q_event
assert proxy.offset == abjad.Offset(1, 30)
def test_quantizationtools_QEventProxy___init___01():
q_event = quantizationtools.PitchedQEvent(130, [0])
proxy = quantizationtools.QEventProxy(q_event, 0.5)
assert proxy.q_event == q_event
assert proxy.offset == abjad.Offset(1, 2)
def test_quantizationtools_QuantizationJob___init___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)
assert job.job_id == job_id
assert job.search_tree == search_tree
assert job.q_event_proxies == tuple(q_event_proxies)
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 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))'
