def test_similar_classifications_ratio(self):
"""Tests similar classification ratios are computed correctly."""
# Test equal standard odlcs.
l = GpsPosition(latitude=38, longitude=-76)
l.save()
t1 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD,
location=l,
orientation=interop_api_pb2.Odlc.S,
shape=interop_api_pb2.Odlc.SQUARE,
shape_color=interop_api_pb2.Odlc.WHITE,
alphanumeric='ABC',
alphanumeric_color=interop_api_pb2.Odlc.BLACK,
description='Test odlc',
description_approved=True,
autonomous=True)
t1.save()
t2 = Odlc(mission=self.mission,
user=self.user,
odlc_type=interop_api_pb2.Odlc.STANDARD,
location=l,
orientation=interop_api_pb2.Odlc.S,
shape=interop_api_pb2.Odlc.SQUARE,
shape_color=interop_api_pb2.Odlc.WHITE,
alphanumeric='ABC',
alphanumeric_color=interop_api_pb2.Odlc.BLACK,
description='Test other odlc',
description_approved=False,
autonomous=True)
t2.save()
self.assertAlmostEqual(1.0, t1.similar_classifications_ratio(t2))
# Test unequal standard odlcs.
t1.alphanumeric = 'DEF'
t1.alphanumeric_color = interop_api_pb2.Odlc.BLUE
t1.save()
self.assertAlmostEqual(3.0 / 5.0, t1.similar_classifications_ratio(t2))
t1.shape = interop_api_pb2.Odlc.CIRCLE
t1.shape_color = interop_api_pb2.Odlc.ORANGE
t1.save()
self.assertAlmostEqual(1.0 / 5.0, t1.similar_classifications_ratio(t2))
# Test emergent type based on description approval.
t1.odlc_type = interop_api_pb2.Odlc.EMERGENT
t1.save()
t2.odlc_type = interop_api_pb2.Odlc.EMERGENT
t2.save()
self.assertAlmostEqual(0.0, t1.similar_classifications_ratio(t2))
t2.description_approved = True
t2.save()
self.assertAlmostEqual(1.0, t1.similar_classifications_ratio(t2))
def test_similar_classifications_ratio(self):
"""Tests similar classification ratios are computed correctly."""
# Test equal standard odlcs.
l = GpsPosition(latitude=38, longitude=-76)
l.save()
t1 = Odlc(
user=self.user,
odlc_type=OdlcType.standard,
location=l,
orientation=Orientation.s,
shape=Shape.square,
background_color=Color.white,
alphanumeric='ABC',
alphanumeric_color=Color.black,
description='Test odlc',
description_approved=True,
autonomous=True)
t1.save()
t2 = Odlc(
user=self.user,
odlc_type=OdlcType.standard,
location=l,
orientation=Orientation.s,
shape=Shape.square,
background_color=Color.white,
alphanumeric='ABC',
alphanumeric_color=Color.black,
description='Test other odlc',
description_approved=False,
autonomous=True)
t2.save()
self.assertAlmostEqual(1.0, t1.similar_classifications_ratio(t2))
# Test unequal standard odlcs.
t1.alphanumeric = 'DEF'
t1.alphanumeric_color = Color.blue
t1.save()
self.assertAlmostEqual(3.0 / 5.0, t1.similar_classifications_ratio(t2))
t1.shape = Shape.circle
t1.background_color = Color.orange
t1.save()
self.assertAlmostEqual(1.0 / 5.0, t1.similar_classifications_ratio(t2))
# Test different types.
t1.odlc_type = OdlcType.off_axis
t1.save()
self.assertAlmostEqual(0, t1.similar_classifications_ratio(t2))
# Test off_axis is same as standard.
t2.odlc_type = OdlcType.off_axis
t2.alphanumeric = 'DEF'
t2.save()
self.assertAlmostEqual(2.0 / 5.0, t1.similar_classifications_ratio(t2))
# Test emergent type based on description approval.
t1.odlc_type = OdlcType.emergent
t1.save()
t2.odlc_type = OdlcType.emergent
t2.save()
self.assertAlmostEqual(0.0, t1.similar_classifications_ratio(t2))
t2.description_approved = True
t2.save()
self.assertAlmostEqual(1.0, t1.similar_classifications_ratio(t2))
