def test_sphere_estimate_argument_parse_vonmises(self):
argv_str = """{0} {1} -fod {2}
-lld {3} -sc 1 -si 50 -sw 20 -ff""".format(
self.__output, self.__input[0], self.__output_fit,
self.__output_ll)
argv = argv_str.split()
args = sphere_estimate.argument_parse(argv)
args_answer = {
"output_dest": self.__output,
"depth_file_path": [self.__input[0]],
"fod": self.__output_fit,
"lld": self.__output_ll,
"m": "vonmises",
"M": "sampling",
"nmix": 1,
"si": 50,
"sw": 20,
"sc": 1,
"st": 1,
"ss": 1234,
"ff": True,
"p": None,
"ll": False,
"j": -1,
"om": "LBFGS",
"sh": 5
}
self.assertDictEqual(args, args_answer)
def test_sphere_estimate_argument_parse_wrappedcauchy(self):
argv_str = """{0} {1} -m wrappedcauchy""".format(
self.__output, self.__input[0])
argv = argv_str.split()
args = sphere_estimate.argument_parse(argv)
args_answer = {
"output_dest": self.__output,
"depth_file_path": [self.__input[0]],
"fod": None,
"lld": None,
"m": "wrappedcauchy",
"M": "sampling",
"nmix": 1,
"si": 3000,
"sw": 1000,
"sc": 1,
"st": 1,
"ss": 1234,
"ff": False,
"p": None,
"ll": False,
"j": -1,
"om": "LBFGS",
"sh": 5
}
self.assertDictEqual(args, args_answer)
def test_sphere_estimate_command_sampling_elc_single(self):
argv_str = """{0} {1} -m explinearcardioid -sc 1 -si 30 -sw 20
-ff""".format(self.__output, self.__input[0],
self.__output_fit, self.__output_ll)
argv = argv_str.split()
args = sphere_estimate.argument_parse(argv)
sphere_estimate.main(args, SphereEstimateTest.logger)
def test_sphere_estimate_command_optimizing_vm_single_mix_upper(self):
argv_str = """{0} {1} -M optimizing -m vonmises -nmix 2 -ff""".format(
self.__output,
self.__input_mix_upper[0],
)
argv = argv_str.split()
args = sphere_estimate.argument_parse(argv)
sphere_estimate.main(args, SphereEstimateTest.logger)
def test_sphere_estimate_command_optimizing_wc_single_upper(self):
argv_str = """{0} {1} -M optimizing -m wrappedcauchy -ff""".format(
self.__output,
self.__input_upper[0],
)
argv = argv_str.split()
args = sphere_estimate.argument_parse(argv)
sphere_estimate.main(args, SphereEstimateTest.logger)
def test_sphere_estimate_command_optimizing_miaejp_single(self):
argv_str = """{0} {1} -M optimizing -m miaejonespewsey -ff""".format(
self.__output,
self.__input[0],
)
argv = argv_str.split()
args = sphere_estimate.argument_parse(argv)
sphere_estimate.main(args, SphereEstimateTest.logger)
def test_sphere_estimate_command_optimizing_miaevm_multiple(self):
argv_str = """{0} {1} {2} -M optimizing -m miaevonmises -ff""".format(
self.__output,
self.__input[0],
self.__input[1],
)
argv = argv_str.split()
args = sphere_estimate.argument_parse(argv)
sphere_estimate.main(args, SphereEstimateTest.logger)
def test_sphere_estimate_command_optimizing_elc_single(self):
argv_str = """{0} {1} -M optimizing -m explinearcardioid
-ff""".format(
self.__output,
self.__input[0],
)
argv = argv_str.split()
args = sphere_estimate.argument_parse(argv)
sphere_estimate.main(args, SphereEstimateTest.logger)
def test_sphere_mcplot_command_wc(self):
model = "wrappedcauchy"
# Generate input data
argv_str = "{0} {1} -m {2} -si 50 -sw 10 -sc 1".format(
self.__input_e, self.__input_d, model)
argv = argv_str.split()
args = sphere_estimate.argument_parse(argv)
sphere_estimate.main(args, SphereMcplotTest.logger)
# Visualize plot
argv_str = "{0} {1} {2} 0 -m {3}".format(self.__output, self.__input_d,
self.__input_e, model)
argv = argv_str.split()
args = sphere_mcplot.argument_parse(argv)
sphere_mcplot.main(args, SphereMcplotTest.logger)
def test_sphere_mcplot_command_invmiaevm_opt(self):
model = "invmiaevonmises"
# Generate input data
argv_str = "{0} {1} -m {2} -M optimizing -ff -nmix 2".format(
self.__input_e, self.__input_ds, model)
argv = argv_str.split()
args = sphere_estimate.argument_parse(argv)
sphere_estimate.main(args, SphereMcplotTest.logger)
# Visualize plot
argv_str = "{0} {1} {2} 0 -m {3} -M optimizing".format(
self.__output, self.__input_ds, self.__input_e, model)
argv = argv_str.split()
args = sphere_mcplot.argument_parse(argv)
sphere_mcplot.main(args, SphereMcplotTest.logger)
def test_sphere_estimate_command_sampling_vm_single_ll_lld(self):
argv_str = """{0} {1} -lld {2} -sc 1 -si 30 -sw 20 -ff""".format(
self.__output, self.__input[0], self.__output_ll)
argv = argv_str.split()
args = sphere_estimate.argument_parse(argv)
sphere_estimate.main(args, SphereEstimateTest.logger)
