def __init__(self, name, **kwargs: Dict):
super().__init__()
self.name = name
""" Name of the variable """
self.metadata: Dict = {}
""" Dictionary for metadata of the variable """
# Initialize class attributes once at first instantiation -------------
if not self._variable_descriptions:
# Class attribute, but it's safer to initialize it at first instantiation
with open_text(resources, DESCRIPTION_FILENAME) as desc_io:
vars_descs = np.genfromtxt(desc_io, delimiter="\t", dtype=str)
self.__class__._variable_descriptions.update(vars_descs)
if not self._base_metadata:
# Get variable base metadata from an ExplicitComponent
comp = om.ExplicitComponent()
# get attributes
metadata = comp.add_output(name="a")
self.__class__._base_metadata = metadata
self.__class__._base_metadata["value"] = 1.0
self.__class__._base_metadata["tags"] = set()
self.__class__._base_metadata["shape"] = None
# Done with class attributes ------------------------------------------
self.metadata = self.__class__._base_metadata.copy()
self.metadata.update(kwargs)
self._set_default_shape()
# If no description, add one from DESCRIPTION_FILE_PATH, if available
if not self.description and self.name in self._variable_descriptions:
self.description = self._variable_descriptions[self.name]
def test_comp_has_no_outputs(self):
p = om.Problem()
root = p.model
root.add_subsystem("indep", om.IndepVarComp('x', 1.0))
comp1 = root.add_subsystem("comp1", om.ExplicitComponent())
comp1.add_input('x', val=0.)
root.connect('indep.x', 'comp1.x')
testlogger = TestLogger()
p.setup(check=True, logger=testlogger)
p.final_setup()
expected = ("The following Components do not have any outputs:\n"
" comp1\n")
testlogger.find_in('warning', expected)
def __init__(self, name, **kwargs):
super().__init__()
self.name = name
""" Name of the variable """
self.metadata: Dict = {}
""" Dictionary for metadata of the variable """
# Initialize class attributes once at first instantiation -------------
if not self._base_metadata:
# Get variable base metadata from an ExplicitComponent
comp = om.ExplicitComponent()
# get attributes
metadata = comp.add_output(name="a")
self.__class__._base_metadata = metadata
self.__class__._base_metadata["val"] = 1.0
self.__class__._base_metadata["tags"] = set()
self.__class__._base_metadata["shape"] = None
# Done with class attributes ------------------------------------------
# Feed self.metadata with kwargs, but remove first attributes with "Unavailable" as
# value, which is a value that can be provided by OpenMDAO.
self.metadata = self.__class__._base_metadata.copy()
self.metadata.update({
key: value
for key, value in kwargs.items()
# The isinstance check is needed if value is a numpy array. In this case, a
# FutureWarning is issued because it is compared to a scalar.
if not isinstance(value, str) or value != "Unavailable"
})
if "value" in self.metadata:
self.metadata["val"] = self.metadata.pop("value")
if "description" in self.metadata:
self.metadata["desc"] = self.metadata.pop("description")
self._set_default_shape()
# If no description, use the one from self._variable_descriptions, if available
if not self.description and self.name in self._variable_descriptions:
self.description = self._variable_descriptions[self.name]
def __init__(self, name, **kwargs):
super().__init__()
self.name = name
""" Name of the variable """
self.metadata: Dict = {}
""" Dictionary for metadata of the variable """
# Initialize class attributes once at first instantiation -------------
if not self._variable_descriptions:
# Class attribute, but it's safer to initialize it at first instantiation
with open_text(resources, DESCRIPTION_FILENAME) as desc_io:
vars_descs = np.genfromtxt(desc_io, delimiter="\t", dtype=str)
self.__class__._variable_descriptions.update(vars_descs)
if not self._base_metadata:
# Get variable base metadata from an ExplicitComponent
comp = om.ExplicitComponent()
# get attributes
metadata = comp.add_output(name="a")
self.__class__._base_metadata = metadata
self.__class__._base_metadata["value"] = 1.0
self.__class__._base_metadata["tags"] = set()
self.__class__._base_metadata["shape"] = None
# Done with class attributes ------------------------------------------
# Feed self.metadata with kwargs, but remove first attributes with "Unavailable" as
# value, which is a value that can be provided by OpenMDAO.
self.metadata = self.__class__._base_metadata.copy()
self.metadata.update({
key: value
for key, value in kwargs.items()
# The isinstance check is needed if value is a numpy array. In this case, a
# FutureWarning is issued because it is compared to a scalar.
if not isinstance(value, str) or value != "Unavailable"
})
self._set_default_shape()
# If no description, add one from DESCRIPTION_FILE_PATH, if available
if not self.description and self.name in self._variable_descriptions:
self.description = self._variable_descriptions[self.name]