def test_cloud__simulate_queue_01():
arate = 1
srate = 2
duration = 10
pitches = [0]
cloud = pang.Cloud(
arate=arate,
srate=srate,
pitches=pitches,
duration=duration,
queue_type="M/M/1",
rest_threshold=0.0,
)
number_of_notes = cloud.number_of_notes
assert number_of_notes == duration * arate
cloud._instances = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
cloud._durations = [2.1, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5]
cloud._simulate_queue()
np.testing.assert_almost_equal(
cloud.durations_per_server[0],
[
2.1,
0.5,
0.5,
0.5,
0.4,
0.5,
0.5,
0.5,
0.5,
0.5,
0.5,
0.5,
0.5,
0.5,
0.5,
0.5,
],
)
assert cloud.pitches_per_server[0] == [
0,
0,
0,
0,
None,
0,
None,
0,
None,
0,
None,
0,
None,
0,
None,
0,
]
def test_cloud___init___02():
cloud = pang.Cloud(arate=1, srate=1, duration=10, queue_type="D/D/1")
assert cloud.number_of_notes == 10
np.testing.assert_almost_equal(
cloud.arrival_instances,
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
)
np.testing.assert_almost_equal(
cloud.durations,
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
)
def test_cloud__simulate_queue_04():
arate = 1
srate = 2
duration = 10
pitches = [0]
cloud = pang.Cloud(
arate=arate,
srate=srate,
pitches=pitches,
duration=duration,
queue_type="M/M/1",
rest_threshold=0.0,
)
number_of_notes = cloud.number_of_notes
assert number_of_notes == duration * arate
cloud._instances = [1, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9]
cloud._durations = [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5]
assert len(cloud.arrival_instances) == len(cloud.durations)
cloud._simulate_queue()
np.testing.assert_almost_equal(
cloud.durations_per_server[0],
[
1,
0.5,
0.5,
0.5,
0.5,
0.5,
0.5,
0.5,
0.5,
0.5,
0.5,
],
)
assert cloud.pitches_per_server[0] == [
None,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
]
def test_cloud___init___01():
cloud = pang.Cloud()
assert cloud.arrival_model == "M"
assert cloud.service_model == "M"