def make_parameter_dictionary(self):
"""Parameter dictionary for area distribution proposals.
"""
iparams = ModelHelper.make_parameter_dictionary(self)
for key in iparams:
if iparams[key]["dtype"] is None:
iparams[key]["dtype"] = "GroupBox"
sub_obj = getattr(self.config_obj, key)
sub_cls = load_class(sub_obj)
try:
sparams = ModelHelper.make_parameter_dictionary(self, fields=sub_cls._fields, obj=sub_obj)
iparams[key]["value"] = sparams
except AttributeError:
iparams[key]["value"] = {}
for i, (k1, v1) in enumerate(sub_obj.items()):
sub_cls1 = load_class(v1)
sparams1 = ModelHelper.make_parameter_dictionary(self, fields=sub_cls1._fields,
obj=v1)
iparams[key]["value"][i] = sparams1
iparams1 = iparams[key]["value"]
for k2 in iparams1:
if isinstance(iparams1[k2], collections.defaultdict):
continue
if iparams1[k2]["dtype"] is None:
iparams1[k2]["dtype"] = "GroupBox"
sub_obj2 = getattr(sub_obj, k2)
try:
sub_cls2 = load_class(sub_obj2)
except ValueError:
continue
try:
sparams1 = ModelHelper.make_parameter_dictionary(self, fields=sub_cls2._fields,
obj=sub_obj2)
iparams1[k2]["value"] = sparams1
except AttributeError:
iparams1[k2]["value"] = {}
for j, (k3, v3) in enumerate(sub_obj2.items()):
sub_cls3 = load_class(v3)
sparams2 = ModelHelper.make_parameter_dictionary(self,
fields=sub_cls3._fields,
obj=v3)
iparams1[k2]["value"][j] = sparams2
iparams[key]["value"] = iparams1
final_params = collections.OrderedDict()
for parameter_name in self.parameter_order:
final_params[parameter_name] = iparams.get(parameter_name)
return final_params
def make_parameter_dictionary(self):
"""Parameter dictionary for area distribution proposals.
"""
iparams = ModelHelper.make_parameter_dictionary(self)
for key in iparams:
if iparams[key]["dtype"] is None:
iparams[key]["dtype"] = "GroupBox"
sub_obj = getattr(self.config_obj, key)
sub_cls = load_class(sub_obj)
try:
sparams = ModelHelper.make_parameter_dictionary(self, fields=sub_cls._fields, obj=sub_obj)
iparams[key]["value"] = sparams
except AttributeError:
iparams[key]["value"] = {}
for i, (k1, v1) in enumerate(sub_obj.items()):
sub_cls1 = load_class(v1)
sparams1 = ModelHelper.make_parameter_dictionary(self, fields=sub_cls1._fields,
obj=v1)
iparams[key]["value"][k1] = sparams1
iparams1 = iparams[key]["value"]
for k2 in iparams1:
if isinstance(iparams1[k2], collections.defaultdict):
continue
if iparams1[k2]["dtype"] is None:
iparams1[k2]["dtype"] = "GroupBox"
sub_obj2 = getattr(sub_obj, k2)
try:
sub_cls2 = load_class(sub_obj2)
except ValueError:
continue
try:
sparams1 = ModelHelper.make_parameter_dictionary(self, fields=sub_cls2._fields,
obj=sub_obj2)
iparams1[k2]["value"] = sparams1
except AttributeError:
iparams1[k2]["value"] = {}
for j, (k3, v3) in enumerate(sub_obj2.items()):
sub_cls3 = load_class(v3)
sparams2 = ModelHelper.make_parameter_dictionary(self,
fields=sub_cls3._fields,
obj=v3)
iparams1[k2]["value"][j] = sparams2
iparams[key]["value"] = iparams1
final_params = collections.OrderedDict()
for parameter_name in self.parameter_order:
final_params[parameter_name] = iparams.get(parameter_name)
return final_params
class ModelHelperTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.save_dir = "config_dir"
if not os.path.exists(cls.save_dir):
os.mkdir(cls.save_dir)
@classmethod
def tearDownClass(cls):
shutil.rmtree(cls.save_dir)
def setUp(self):
self.mh = ModelHelper(ObservingSite())
def test_basic_information_after_creation(self):
self.assertIsNotNone(self.mh.config_obj)
self.assertIsNotNone(self.mh.config_cls)
self.assertIsNotNone(self.mh.paren_match)
self.assertIsNotNone(self.mh.params)
def test_blank_helper_basic_information_after_creation(self):
blank_mh = ModelHelper()
self.assertIsNone(blank_mh.config_obj)
self.assertIsNone(blank_mh.config_cls)
self.assertIsNotNone(blank_mh.paren_match)
self.assertIsNone(blank_mh.params)
def test_make_parameter(self):
# Setup top-level information for one parameter
param_dict = collections.defaultdict(dict)
fields = self.mh.config_cls._fields
key = "name"
value = fields[key]
pdict = param_dict[key]
self.mh.make_parameter(pdict, key, value)
self.assertEqual(pdict["dtype"], "Str")
self.assertEqual(pdict["value"], "Cerro Pachon")
self.assertIsNone(pdict["units"])
def test_make_parameter_dictionary(self):
param_dict = self.mh.make_parameter_dictionary()
self.assertEqual(len(param_dict), 7)
def test_check_parameter(self):
self.assertTrue(self.mh.check_parameter("name", "Sierra Madre"))
self.assertFalse(self.mh.check_parameter("height", "2650.0"))
def test_get_parameter(self):
self.assertEquals(self.mh.get_parameter("name"), "Cerro Pachon")
self.assertEquals(self.mh.get_parameter("height"), 2650.0)
def test_save_configuration(self):
name = "obs_site"
changed_values = [("name", "Sierra Madre"), ("height", "1243.5"), ("bool_val", "False"),
("str_list", "a,b,c,d"), ("float_list", "0.0,1.0,2.0")]
self.mh.save_configuration(self.save_dir, name, changed_values)
output_file = "{}.py".format(name)
full_file = os.path.join(self.save_dir, output_file)
self.assertTrue(os.path.exists(full_file))
with open(full_file, 'r') as ifile:
lines = ifile.readlines()
self.assertEqual(len(lines), len(changed_values) + 2)
class ModelHelperTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.save_dir = "config_dir"
if not os.path.exists(cls.save_dir):
os.mkdir(cls.save_dir)
@classmethod
def tearDownClass(cls):
shutil.rmtree(cls.save_dir)
def setUp(self):
self.mh = ModelHelper(ObservingSite())
def test_basic_information_after_creation(self):
self.assertIsNotNone(self.mh.config_obj)
self.assertIsNotNone(self.mh.config_cls)
self.assertIsNotNone(self.mh.paren_match)
self.assertIsNotNone(self.mh.params)
def test_blank_helper_basic_information_after_creation(self):
blank_mh = ModelHelper()
self.assertIsNone(blank_mh.config_obj)
self.assertIsNone(blank_mh.config_cls)
self.assertIsNotNone(blank_mh.paren_match)
self.assertIsNone(blank_mh.params)
def test_make_parameter(self):
# Setup top-level information for one parameter
param_dict = collections.defaultdict(dict)
fields = self.mh.config_cls._fields
key = "name"
value = fields[key]
pdict = param_dict[key]
self.mh.make_parameter(pdict, key, value)
self.assertEqual(pdict["dtype"], "Str")
self.assertEqual(pdict["value"], "Cerro Pachon")
self.assertIsNone(pdict["units"])
def test_make_parameter_dictionary(self):
param_dict = self.mh.make_parameter_dictionary()
self.assertEqual(len(param_dict), 7)
def test_check_parameter(self):
self.assertTrue(self.mh.check_parameter("name", "Sierra Madre"))
self.assertFalse(self.mh.check_parameter("height", "2650.0"))
def test_get_parameter(self):
self.assertEquals(self.mh.get_parameter("name"), "Cerro Pachon")
self.assertEquals(self.mh.get_parameter("height"), 2650.0)
def test_save_configuration(self):
name = "obs_site"
changed_values = [
("name", "Sierra Madre"),
("height", "1243.5"),
("bool_val", "False"),
("str_list", "a,b,c,d"),
("float_list", "0.0,1.0,2.0"),
]
self.mh.save_configuration(self.save_dir, name, changed_values)
output_file = "{}.py".format(name)
full_file = os.path.join(self.save_dir, output_file)
self.assertTrue(os.path.exists(full_file))
with open(full_file, "r") as ifile:
lines = ifile.readlines()
self.assertEqual(len(lines), len(changed_values) + 2)
def make_parameter_dictionary(self):
"""Parameter dictionary for sequence proposals.
"""
iparams = ModelHelper.make_parameter_dictionary(self)
for key in iparams:
if iparams[key]["dtype"] is None:
iparams[key]["dtype"] = "GroupBox"
sub_obj = getattr(self.config_obj, key)
sub_cls = load_class(sub_obj)
try:
sparams = ModelHelper.make_parameter_dictionary(
self, fields=sub_cls._fields, obj=sub_obj)
iparams[key]["value"] = sparams
except AttributeError:
iparams[key]["value"] = {}
for i, (k1, v1) in enumerate(sub_obj.items()):
sub_cls1 = load_class(v1)
sparams1 = ModelHelper.make_parameter_dictionary(
self, fields=sub_cls1._fields, obj=v1)
iparams[key]["value"][k1] = sparams1
if "master" in key:
iparams[key]["value"][k1]["sub_sequences"][
"value"] = {}
# Need to handle sub-sequence lists
sub_seq_names = []
for k3, v3 in v1.sub_sequences.items():
sub_cls3 = load_class(v3)
sparams3 = ModelHelper.make_parameter_dictionary(
self, fields=sub_cls3._fields, obj=v3)
iparams[key]["value"][k1]["sub_sequences"][
"value"][k3] = sparams3
sub_seq_names.append(sparams3["name"]["value"])
iparams[key]["value"][k1]["sub_sequence_names"] = \
{"units": None, "dtype": "StringList", "format": None,
"doc": iparams[key]["value"][0]["sub_sequences"]["doc"],
"value": ','.join(sub_seq_names)}
iparams1 = iparams[key]["value"]
for k2 in iparams1:
if isinstance(iparams1[k2], collections.defaultdict):
continue
if iparams1[k2]["dtype"] is None:
iparams1[k2]["dtype"] = "GroupBox"
sub_obj2 = getattr(sub_obj, k2)
try:
sub_cls2 = load_class(sub_obj2)
except ValueError:
continue
try:
sparams1 = ModelHelper.make_parameter_dictionary(
self, fields=sub_cls2._fields, obj=sub_obj2)
iparams1[k2]["value"] = sparams1
except AttributeError:
iparams1[k2]["value"] = {}
for j, (k3, v3) in enumerate(sub_obj2.items()):
sub_cls3 = load_class(v3)
sparams2 = ModelHelper.make_parameter_dictionary(
self, fields=sub_cls3._fields, obj=v3)
iparams1[k2]["value"][j] = sparams2
iparams[key]["value"] = iparams1
final_params = collections.OrderedDict()
for parameter_name in self.parameter_order:
final_params[parameter_name] = iparams.get(parameter_name)
return final_params
