def test_reverse(self): """Check if it reverses `transform` properly, if possible.""" t = Quantize() assert t.reverse(9) == 9.0 assert t.reverse(5) == 5.0 assert numpy.all( t.reverse([9, 5]) == numpy.array([9.0, 5.0], dtype=float))
def test_transform(self): """Check if it transforms properly.""" t = Quantize() assert t.transform(8.6) == 8 assert t.transform(5.3) == 5 assert numpy.all( t.transform([8.6, 5.3]) == numpy.array([8, 5], dtype=int))
def test_domain_and_target_type(self): """Check if attribute-like `domain_type` and `target_type` do what's expected. """ t = Reverse(Quantize()) assert t.domain_type == 'integer' assert t.target_type == 'real'
def test_reverse(self): """Check if it reverses `transform` properly, if possible.""" t = Reverse(Quantize()) assert t.reverse(8.6) == 8 assert t.reverse(5.3) == 5 assert numpy.all( t.reverse([8.6, 5.3]) == numpy.array([8, 5], dtype=int))
def test_transform(self): """Check if it transforms properly.""" t = Reverse(Quantize()) assert t.transform(9) == 9.0 assert t.transform(5) == 5.0 assert numpy.all( t.transform([9, 5]) == numpy.array([9.0, 5.0], dtype=float))
def test_domain_and_target_type(self): """Check if attribute-like `domain_type` and `target_type` do what's expected. """ t = Quantize() assert t.domain_type == "real" assert t.target_type == "integer"
def test_quantization_does_not_violate_bounds(): """Regress on bug that converts valid float in tdim to non valid excl. upper bound.""" dim = Integer("yo", "uniform", 3, 7) transformers = [Reverse(Quantize())] tdim = TransformedDimension(Compose(transformers, dim.type), dim) assert 11 not in dim assert 10 in dim # but be careful, because upper bound is inclusive assert 11.5 not in tdim assert 10.6 in tdim assert tdim.reverse(9.6) in dim # solution is to quantize with 'floor' instead of 'round' assert tdim.reverse(9.6) == 9
def test_domain_and_target_type(self): """Check if attribute-like `domain_type` and `target_type` do what's expected. """ t = Compose([]) assert t.domain_type is None assert t.target_type is None t = Compose([], 'real') assert t.domain_type == 'real' assert t.target_type == 'real' t = Compose([Quantize()], 'real') assert t.domain_type == 'real' assert t.target_type == 'integer' t = Compose([Enumerate([2, 'asfa', 'ipsi']), OneHotEncode(3)], 'categorical') assert t.domain_type == 'categorical' assert t.target_type == 'real'
def test_domain_and_target_type(self): """Check if attribute-like `domain_type` and `target_type` do what's expected. """ t = Compose([]) assert t.domain_type is None assert t.target_type is None t = Compose([], "real") assert t.domain_type == "real" assert t.target_type == "real" t = Compose([Quantize()], "real") assert t.domain_type == "real" assert t.target_type == "integer" t = Compose([Enumerate([2, "asfa", "ipsi"]), OneHotEncode(3)], "categorical") assert t.domain_type == "categorical" assert t.target_type == "real"
def test_repr_format(self): """Check representation of a transformed dimension.""" t = Reverse(Quantize()) assert t.repr_format('asfa') == 'ReverseQuantize(asfa)'
def test_infer_target_shape(self): """Check if it infers the shape of a transformed `Dimension`.""" t = Reverse(Quantize()) assert t.infer_target_shape((5,)) == (5,)
def test_deepcopy(self): """Verify that the transformation object can be copied""" t = Reverse(Quantize()) t.transform([2]) copy.deepcopy(t)
def tdim(dim): """Create an example of `TransformedDimension`.""" transformers = [Quantize()] tdim = TransformedDimension(Compose(transformers, dim.type), dim) return tdim
def test_repr_format(self): """Check representation of a transformed dimension.""" t = Quantize() assert t.repr_format("asfa") == "Quantize(asfa)"