def test_equality(self):
c_si = si.Channels(5, 20)
time = 100
data = np.arange(25)
origin = db.Channels(c_si, timeoption2ts(c_si, time), data)
same = db.Channels(c_si, timeoption2ts(c_si, time), data)
self.assertEqual(origin, same)
different_size = db.Channels(c_si, timeoption2ts(c_si, time),
data.repeat(2))
self.assertNotEqual(origin, different_size)
different_time = db.Channels(c_si, timeoption2ts(c_si, time * 2), data)
self.assertNotEqual(origin, different_time)
c_si2 = si.Channels(5, 21)
different_si = db.Channels(c_si2, timeoption2ts(c_si2, time), data)
self.assertNotEqual(origin, different_si)
offset = 10
same_by_calc = db.Channels(c_si, timeoption2ts(c_si, time),
data + offset)
self.assertNotEqual(origin, same_by_calc)
same_by_calc -= offset
self.assertEqual(origin, same_by_calc)
def test_is_similar(self):
si1 = si.Channels(1, 20, id=1)
si2 = si.Channels(1, 20, id=2)
db1 = db.Channels(si1, 300, [1])
db2 = db.Channels(si2, 300, [1])
self.assertNotEqual(db1, db2)
self.assertTrue(db1.is_similar(db2))
def test_merge_si_override(self):
si1 = si.Channels(1, 20, id=1)
si2 = si.Channels(1, 20, id=2)
si3 = si.Channels(1, 20, id=3)
A = db.Channels(si1, timeoption2ts(si1, 205), [1])
B = db.Channels(si2, timeoption2ts(si2, 206), [2])
merged = db.combine(A, B, si=si3)
expected = db.Channels(si3, timeoption2ts(si3, 206), [1, 2])
self.assertEqual(merged, expected)
def test_empty(self):
c_si = si.Channels(5, 20)
d = db.make_empty(c_si)
self.assertEqual(d.shape, (0, 5))
self.assertEqual(d.TS.shape, (0, ))
self.assertEqual(d.SI, c_si)
def prepare(self, input: db.Channels, outputChannels, transform):
if not isinstance(input, db.Channels):
raise Exception("input must be channels")
self._si = si.Channels(channels=outputChannels, samplingRate=input.SI.samplingRate)
self._transform = transform
return self._si
def test_transformation_calls_something(self):
s = si.Channels(2, 20)
d = db.Channels(s, 300, np.arange(1, 27))
t = pipe.spatial(d, np.array([[1, 0], [0, -1]]))
self.assertIsInstance(t, db.Channels)
self.assertEqual(t.shape, (13, 2))
def test_si_comparisons(self):
si1 = si.Channels(1, 20)
si2 = si.Channels(2, 20)
self.assertNotEqual(si1, si2)
si3 = si.Channels(1, 21)
self.assertNotEqual(si1, si3)
si4 = si.Channels(1, 20)
self.assertEqual(si1, si4)
si5 = si.Channels(1, 20, id=3)
self.assertNotEqual(si1, si5)
self.assertTrue(si1.is_similar(si1))
self.assertFalse(si1.is_similar(si2))
self.assertFalse(si1.is_similar(si3))
self.assertTrue(si1.is_similar(si4))
self.assertTrue(si1.is_similar(si5))
def test_timestamp_subset(self):
c_si = si.Channels(1, 20)
data = db.Channels(c_si, 2e9, np.arange(0, 25))
sub_data = data[1:3, :]
expected = db.Channels(c_si, 9e8, np.arange(1, 3))
self.assertEqual(expected, sub_data)
sub_data = data[[2]]
expected = db.Channels(c_si, 9e8, [2])
self.assertEqual(expected, sub_data)
def prepare(self, channels: db.Channels, ba_filter):
if not isinstance(channels, db.Channels):
raise Exception("input must be channels")
self._si = si.Channels(channels=channels.SI.channels,
samplingRate=channels.SI.samplingRate)
self._b, self._a = ba_filter
self._zi = np.zeros((len(self._b) - 1, channels.SI.channels),
dtype=np.float)
return self._si
def test_merge(self):
c_si = si.Channels(5, 20)
A = db.Channels(c_si, timeoption2ts(c_si, 205), np.arange(1, 26))
B = db.Channels(c_si, timeoption2ts(c_si, 215), np.arange(26, 76))
C = db.Channels(c_si, timeoption2ts(c_si, 224), np.arange(76, 121))
M = db.combine(A, B, C)
O = db.Channels(c_si, timeoption2ts(c_si, 224), np.arange(1, 121))
self.assertEqual(O, M)
def test_channels(self):
c_si = si.Channels(5, 20)
blocks = []
self.check(c_si, blocks)
blocks = [
db.Channels(c_si, timeoption2ts(c_si, 124), np.arange(75, 120)),
db.Channels(c_si, timeoption2ts(c_si, 105), np.arange(0, 25)),
db.Channels(c_si, timeoption2ts(c_si, 115), np.arange(25, 75)),
]
self.check(c_si, blocks)
def on_prepare(code, inputs):
global test_report
if len(test_report) != 0:
test_report = []
raise Exception("Sequence started wrong")
test_report.append(("onPrepare", (inputs, code)))
global si_channels
si_channels = si.OutputStream(id=1,
name="channels-out",
source=si.Channels(channels=3,
samplingRate=21.0))
global si_events
si_events = si.OutputStream(id=2, name="event-out", source=si.Event())
resonate.add_to_queue("createOutputStream", si_channels)
resonate.add_to_queue("createOutputStream", si_events)
def on_stop():
print("Stops")
test_report.append(('onStop'))
ch_si = si.Channels(3, 21, 1, "channels")
ev_si = si.Event(2, "event")
expected_report = [
("onPrepare",
([si.Channels(3, 21.0, 1, "channels"),
si.Event(2, "event")], "")), ("onStart"),
("onDataBlock",
db.Channels(ch_si, 946729805250000000, [
[0.29475517441090415, -0.29475517441090415, 0.29475517441090415],
[0.56332005806362195, -0.56332005806362195, 0.56332005806362195],
[0.7818314824680298, -0.7818314824680298, 0.7818314824680298],
[0.93087374864420414, -0.93087374864420414, 0.93087374864420414],
[0.99720379718118013, -0.99720379718118013, 0.99720379718118013],
[0.97492791218182362, -0.97492791218182362, 0.97492791218182362],
[0.86602540378443871, -0.86602540378443871, 0.86602540378443871],
[0.68017273777091969, -0.68017273777091969, 0.68017273777091969],
[0.43388373911755823, -0.43388373911755823, 0.43388373911755823],
[0.14904226617617472, -0.14904226617617472, 0.14904226617617472],
[-0.14904226617617447, 0.14904226617617447, -0.14904226617617447],
[-0.43388373911755801, 0.43388373911755801, -0.43388373911755801],
[-0.68017273777091947, 0.68017273777091947, -0.68017273777091947],
[-0.86602540378443837, 0.86602540378443837, -0.86602540378443837],
[-0.97492791218182362, 0.97492791218182362, -0.97492791218182362],
[-0.99720379718118024, 0.99720379718118024, -0.99720379718118024],
[-0.93087374864420447, 0.93087374864420447, -0.93087374864420447],
[-0.78183148246802991, 0.78183148246802991, -0.78183148246802991],
[-0.56332005806362195, 0.56332005806362195, -0.56332005806362195],
[-0.29475517441090471, 0.29475517441090471, -0.29475517441090471],
[
-2.4492935982947064e-16, 2.4492935982947064e-16,
-2.4492935982947064e-16
],
[0.29475517441090426, -0.29475517441090426, 0.29475517441090426],
[0.56332005806362229, -0.56332005806362229, 0.56332005806362229],
[0.78183148246802958, -0.78183148246802958, 0.78183148246802958],
[0.93087374864420425, -0.93087374864420425, 0.93087374864420425],
[0.99720379718118013, -0.99720379718118013, 0.99720379718118013],
[0.97492791218182373, -0.97492791218182373, 0.97492791218182373],
[0.86602540378443915, -0.86602540378443915, 0.86602540378443915],
[0.68017273777091924, -0.68017273777091924, 0.68017273777091924],
[0.43388373911755845, -0.43388373911755845, 0.43388373911755845],
[0.14904226617617364, -0.14904226617617364, 0.14904226617617364],
[-0.14904226617617292, 0.14904226617617292, -0.14904226617617292],
[-0.43388373911755779, 0.43388373911755779, -0.43388373911755779],
[-0.68017273777091869, 0.68017273777091869, -0.68017273777091869],
[-0.86602540378443871, 0.86602540378443871, -0.86602540378443871],
[-0.97492791218182351, 0.97492791218182351, -0.97492791218182351],
[-0.99720379718118024, 0.99720379718118024, -0.99720379718118024],
[-0.93087374864420425, 0.93087374864420425, -0.93087374864420425],
[-0.78183148246803014, 0.78183148246803014, -0.78183148246803014],
[-0.56332005806362295, 0.56332005806362295, -0.56332005806362295],
[-0.29475517441090582, 0.29475517441090582, -0.29475517441090582],
[
-4.8985871965894128e-16, 4.8985871965894128e-16,
-4.8985871965894128e-16
],
[0.29475517441090315, -0.29475517441090315, 0.29475517441090315],
[0.56332005806362206, -0.56332005806362206, 0.56332005806362206],
[0.78183148246802947, -0.78183148246802947, 0.78183148246802947],
[0.93087374864420447, -0.93087374864420447, 0.93087374864420447],
[0.99720379718118013, -0.99720379718118013, 0.99720379718118013],
[0.97492791218182373, -0.97492791218182373, 0.97492791218182373],
[0.86602540378443837, -0.86602540378443837, 0.86602540378443837],
[0.68017273777091936, -0.68017273777091936, 0.68017273777091936],
[0.43388373911756023, -0.43388373911756023, 0.43388373911756023],
[0.14904226617617389, -0.14904226617617389, 0.14904226617617389],
[-0.14904226617617267, 0.14904226617617267, -0.14904226617617267],
[-0.43388373911755757, 0.43388373911755757, -0.43388373911755757],
[-0.6801727377709198, 0.6801727377709198, -0.6801727377709198],
[-0.86602540378443771, 0.86602540378443771, -0.86602540378443771],
[-0.97492791218182351, 0.97492791218182351, -0.97492791218182351],
[-0.99720379718118013, 0.99720379718118013, -0.99720379718118013],
[-0.93087374864420491, 0.93087374864420491, -0.93087374864420491],
[-0.78183148246803025, 0.78183148246803025, -0.78183148246803025],
[-0.56332005806362462, 0.56332005806362462, -0.56332005806362462],
[-0.29475517441090265, 0.29475517441090265, -0.29475517441090265],
[
-7.3478807948841188e-16, 7.3478807948841188e-16,
-7.3478807948841188e-16
]
])), ("onDataBlock", db.Event(ev_si, 946729905250000000, "test")),
("onStop")
]
if expected_report != test_report:
print("failed")
print(test_report.__repr__())
print("but")
print(expected_report.__repr__())
# raise Exception("Test didn't pass")
print("passed")
def test_single_channel(self):
c_si = si.Channels(1, 20)
single = db.Channels(c_si, 1e9, [1, 2, 3])
self.assertEqual((3, 1), single.shape)
self.assertEqual([[1], [2], [3]], single)
def setUp(self):
self._si = si.Channels(2, 20)
self._db = db.Channels(self._si, 300, np.arange(1, 27))
self._code = '''