def test_calculate_matches_complex(self):
auto = EPGProfile.from_file(example_file('Ap10-haba-auto.csv'))
manual = EPGProfile.from_file(example_file('Ap10-haba-manual.csv'))
stats = EPGComparator((auto, manual)).compare()
expected = dict(
c=dict(n=71, full_matches=45, loffset=.01, roffset=.02),
pd=dict(n=49, full_matches=37, loffset=0., roffset=.04),
np=dict(n=22, full_matches=20, loffset=.02, roffset=0.))
for waveform in expected:
for name, val in expected[waveform].items():
self.assertAlmostEqual(val, stats.get(waveform, mean)[name],
2, name)
def test_calculate_matches(self):
auto = EPGProfile.from_file(example_file('Ap1-haba-auto.csv'))
manual = EPGProfile.from_file(example_file('Ap1-haba-manual.csv'))
stats = EPGComparator((auto, manual)).compare()
expected = dict(
c=dict(n=33, full_matches=21, loffset=.03, roffset=.06),
pd=dict(n=16, full_matches=8, loffset=0., roffset=0.),
np=dict(n=26, full_matches=20, loffset=.13, roffset=.04))
for waveform in expected:
for name, val in expected[waveform].items():
self.assertAlmostEqual(val, stats.get(waveform, mean)[name],
2, name)
