def test_add_log_ratio_range1_gate():
gs = fk.GatingStrategy()
rat_xform = fk.transforms.RatioTransform('FL2Rat1', ['FL2-H', 'FL2-A'],
param_a=1,
param_b=0,
param_c=-1)
gs.add_transform(rat_xform)
log_rat_xform = fk.transforms.LogTransform('MyRatLog',
param_t=100,
param_m=2)
gs.add_transform(log_rat_xform)
dim_rat1 = fk.RatioDimension('FL2Rat1',
compensation_ref='uncompensated',
transformation_ref='MyRatLog',
range_min=0.40625,
range_max=0.6601562)
dims = [dim_rat1]
rect_gate = fk.gates.RectangleGate('RatRange1a', None, dims)
gs.add_gate(rect_gate)
res_path = 'examples/data/gate_ref/truth/Results_RatRange1a.txt'
truth = pd.read_csv(res_path, header=None, squeeze=True,
dtype='bool').values
result = gs.gate_sample(data1_sample)
np.testing.assert_array_equal(truth,
result.get_gate_membership('RatRange1a'))
def test_add_ratio_range2_gate():
gs = fk.GatingStrategy()
rat_xform = fk.transforms.RatioTransform('FL2Rat2', ['FL2-H', 'FL2-A'],
param_a=2.7,
param_b=-100,
param_c=-300)
gs.add_transform(rat_xform)
dim_rat2 = fk.RatioDimension('FL2Rat2',
compensation_ref='uncompensated',
range_min=0.95,
range_max=1.05)
dims = [dim_rat2]
rect_gate = fk.gates.RectangleGate('RatRange2', None, dims)
gs.add_gate(rect_gate)
res_path = 'examples/data/gate_ref/truth/Results_RatRange2.txt'
truth = pd.read_csv(res_path, header=None, squeeze=True,
dtype='bool').values
result = gs.gate_sample(data1_sample)
np.testing.assert_array_equal(truth,
result.get_gate_membership('RatRange2'))
def test_ratio_dim_repr(self):
dim_rat1 = fk.RatioDimension('FL2Rat1',
compensation_ref='uncompensated',
range_min=3,
range_max=16.4)
dim_string = "RatioDimension(ratio_reference: FL2Rat1)"
self.assertEqual(repr(dim_rat1), dim_string)