def test_10_01_issue_422(self):
# Regression test of issue # 422
#
# If no operation is chosen, get_measurement_columns and
# get_categories report measurements for both operands when
# they should report for only a single one
#
module = C.CalculateMath()
module.operation.value = C.O_NONE
module.operands[0].operand_objects.value = OBJECT[0]
module.operands[1].operand_objects.value = OBJECT[1]
module.operands[0].operand_choice.value = C.MC_OBJECT
module.operands[1].operand_choice.value = C.MC_OBJECT
module.output_feature_name.value = OUTPUT_MEASUREMENTS
c = module.get_measurement_columns(None)
self.assertEqual(len(c), 1)
self.assertEqual(c[0][0], OBJECT[0])
self.assertEqual(c[0][1], MATH_OUTPUT_MEASUREMENTS)
self.assertEqual(len(module.get_categories(None, OBJECT[0])), 1)
self.assertEqual(len(module.get_categories(None, OBJECT[1])), 0)
self.assertEqual(
len(module.get_measurements(None, OBJECT[0], C.C_MATH)), 1)
self.assertEqual(
len(module.get_measurements(None, OBJECT[1], C.C_MATH)), 0)
def test_05_01_measurement_columns_image(self):
module = C.CalculateMath()
module.output_feature_name.value = OUTPUT_MEASUREMENTS
for operand in module.operands:
operand.operand_choice.value = C.MC_IMAGE
columns = module.get_measurement_columns(None)
self.assertEqual(len(columns),1)
self.assertEqual(columns[0][0], cpmeas.IMAGE)
self.assertEqual(columns[0][1], MATH_OUTPUT_MEASUREMENTS)
self.assertEqual(columns[0][2], cpmeas.COLTYPE_FLOAT)
self.assertEqual(module.get_categories(None,cpmeas.IMAGE)[0], "Math")
self.assertEqual(module.get_measurements(None, cpmeas.IMAGE, "Math")[0],
OUTPUT_MEASUREMENTS)
def test_05_03_measurement_columns_object_image(self):
module = C.CalculateMath()
module.output_feature_name.value = OUTPUT_MEASUREMENTS
module.operands[0].operand_choice.value = C.MC_OBJECT
module.operands[1].operand_choice.value = C.MC_IMAGE
module.operands[0].operand_objects.value = OBJECT[0]
columns = module.get_measurement_columns(None)
self.assertEqual(len(columns),1)
self.assertEqual(columns[0][0], OBJECT[0])
self.assertEqual(columns[0][1], MATH_OUTPUT_MEASUREMENTS)
self.assertEqual(columns[0][2], cpmeas.COLTYPE_FLOAT)
self.assertEqual(module.get_categories(None,OBJECT[0])[0], "Math")
self.assertEqual(module.get_measurements(None, OBJECT[0], "Math")[0],
OUTPUT_MEASUREMENTS)
self.assertEqual(len(module.get_categories(None,cpmeas.IMAGE)), 0)
def run_workspace(
self,
operation,
m1_is_image_measurement,
m1_data,
m2_is_image_measurement,
m2_data,
setup_fn=None,
):
"""Create and run a workspace, returning the measurements
m<n>_is_image_measurement - true for an image measurement, false
for object
m<n>_data - either a single value or an array
setup_fn - this gets called with the module before running
"""
module = C.CalculateMath()
module.operation.value = operation
measurements = cpmeas.Measurements()
for i, operand, is_image_measurement, data in (
(0, module.operands[0], m1_is_image_measurement, m1_data),
(1, module.operands[1], m2_is_image_measurement, m2_data),
):
measurement = "measurement%d" % i
if is_image_measurement:
operand.operand_choice.value = C.MC_IMAGE
measurements.add_image_measurement(measurement, data)
else:
operand.operand_choice.value = C.MC_OBJECT
operand.operand_objects.value = OBJECT[i]
measurements.add_measurement(OBJECT[i], measurement, data)
operand.operand_measurement.value = measurement
module.output_feature_name.value = OUTPUT_MEASUREMENTS
pipeline = cpp.Pipeline()
image_set_list = cpi.ImageSetList()
workspace = cpw.Workspace(
pipeline,
module,
image_set_list.get_image_set(0),
cpo.ObjectSet(),
measurements,
image_set_list,
)
if setup_fn is not None:
setup_fn(module, workspace)
module.run(workspace)
return measurements
def test_09_01_img_919(self):
'''Regression test: one measurement, but both operands are from same object
The bug was that the measurement gets added twice. It was fixed in run
but not in get_measurement_columns
'''
def fn(module):
module.operands[1].operand_objects.value = OBJECT[0]
module.operands[1].operand_measurement.value = "measurement0"
module = C.CalculateMath()
module.output_feature_name.value = OUTPUT_MEASUREMENTS
module.operands[0].operand_choice.value = C.MC_OBJECT
module.operands[1].operand_choice.value = C.MC_OBJECT
module.operands[0].operand_objects.value = OBJECT[0]
module.operands[1].operand_objects.value = OBJECT[0]
columns = module.get_measurement_columns(None)
self.assertEqual(columns[0][0], OBJECT[0])
self.assertEqual(len(columns), 1)
def test_05_04_measurement_columns_object_object(self):
module = C.CalculateMath()
module.output_feature_name.value = OUTPUT_MEASUREMENTS
module.operands[0].operand_choice.value = C.MC_OBJECT
module.operands[1].operand_choice.value = C.MC_OBJECT
module.operands[0].operand_objects.value = OBJECT[0]
module.operands[1].operand_objects.value = OBJECT[1]
columns = list(module.get_measurement_columns(None))
self.assertEqual(len(columns),2)
if columns[0][0] == OBJECT[1]:
columns = [columns[1],columns[0]]
for i in range(2):
self.assertEqual(columns[i][0], OBJECT[i])
self.assertEqual(columns[i][1], MATH_OUTPUT_MEASUREMENTS)
self.assertEqual(columns[i][2], cpmeas.COLTYPE_FLOAT)
self.assertEqual(module.get_categories(None,OBJECT[i])[0], "Math")
self.assertEqual(module.get_measurements(None, OBJECT[i],"Math")[0],
OUTPUT_MEASUREMENTS)
self.assertEqual(len(module.get_categories(None,cpmeas.IMAGE)), 0)
