def coerce(self, probe, target):
obj = target.obj if isinstance(target, ObjView) else target
if not hasattr(obj, 'probeable'):
raise ValidationError("Type %r is not probeable"
% type(obj).__name__,
attr=self.name, obj=probe)
# do this after; better to know that type is not Probable first
if isinstance(obj, LearningRule):
# TODO: this special case should be able to be removed with #1310
return Parameter.coerce(self, probe, target)
else:
return super().coerce(probe, target)
def coerce(self, probe, target):
obj = target.obj if isinstance(target, ObjView) else target
if not hasattr(obj, 'probeable'):
raise ValidationError("Type %r is not probeable" %
type(obj).__name__,
attr=self.name,
obj=probe)
# do this after; better to know that type is not Probable first
if isinstance(obj, LearningRule):
# TODO: this special case should be able to be removed with #1310
return Parameter.coerce(self, probe, target)
else:
return super().coerce(probe, target)
def coerce(self, probe, target): # pylint: disable=arguments-renamed
obj = target.obj if isinstance(target, ObjView) else target
if not hasattr(obj, "probeable"):
raise ValidationError(
f"Type '{type(obj).__name__}' is not probeable",
attr=self.name,
obj=probe,
)
# do this after; better to know that type is not Probable first
if isinstance(obj, LearningRule):
# TODO: this special case should be able to be removed with #1310
return Parameter.coerce(self, probe, target)
else:
return super().coerce(probe, target)
def coerce(self, instance, distorarray):
if isinstance(distorarray, Distribution):
return Parameter.coerce(self, instance, distorarray)
return super().coerce(instance, distorarray)
def coerce(self, instance, distorarray): # pylint: disable=arguments-renamed
if isinstance(distorarray, Distribution):
return Parameter.coerce(self, instance, distorarray)
return super().coerce(instance, distorarray)
def coerce(self, instance, distorarray):
if isinstance(distorarray, Distribution):
return Parameter.coerce(self, instance, distorarray)
return super().coerce(instance, distorarray)
