SDEMixIn#
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__eq__(self, value, /)#
Return self==value.
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__format__(self, format_spec, /)#
Default object formatter.
Return str(self) if format_spec is empty. Raise TypeError otherwise.
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__ge__(self, value, /)#
Return self>=value.
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__getattribute__(self, name, /)#
Return getattr(self, name).
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__gt__(self, value, /)#
Return self>value.
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__hash__(self, /)#
Return hash(self).
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__init_subclass__()#
This method is called when a class is subclassed.
The default implementation does nothing. It may be overridden to extend subclasses.
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__le__(self, value, /)#
Return self<=value.
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__lt__(self, value, /)#
Return self<value.
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__ne__(self, value, /)#
Return self!=value.
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__new__(*args, **kwargs)#
Create and return a new object. See help(type) for accurate signature.
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__reduce__(self, /)#
Helper for pickle.
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__reduce_ex__(self, protocol, /)#
Helper for pickle.
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__sizeof__(self, /)#
Size of object in memory, in bytes.
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__str__(self, /)#
Return str(self).
- scdiffeq.core.lightning_models.mix_ins._sde_mix_in.SDEMixIn.__subclasshook__()#
Abstract classes can override this to customize issubclass().
This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).