PotentialMixIn

Mixin class for potential-based operations.

This class provides methods for potential-based operations, including validation step with gradient computation enabled.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.None

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__init__()

Initialize the PotentialMixIn object.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.validation_step()

Perform a validation step with gradient computation enabled.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__delattr__(self, name, /)

Implement delattr(self, name).

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__dir__(self, /)

Default dir() implementation.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__eq__(self, value, /)

Return self==value.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__format__(self, format_spec, /)

Default object formatter.

Return str(self) if format_spec is empty. Raise TypeError otherwise.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__ge__(self, value, /)

Return self>=value.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__getattribute__(self, name, /)

Return getattr(self, name).

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__getstate__(self, /)

Helper for pickle.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__gt__(self, value, /)

Return self>value.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__hash__(self, /)

Return hash(self).

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__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._potential_mix_in.PotentialMixIn.__le__(self, value, /)

Return self<=value.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__lt__(self, value, /)

Return self<value.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__ne__(self, value, /)

Return self!=value.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__new__(*args, **kwargs)

Create and return a new object. See help(type) for accurate signature.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__reduce__(self, /)

Helper for pickle.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__reduce_ex__(self, protocol, /)

Helper for pickle.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__repr__(self, /)

Return repr(self).

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__setattr__(self, name, value, /)

Implement setattr(self, name, value).

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__sizeof__(self, /)

Size of object in memory, in bytes.

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__str__(self, /)

Return str(self).

scdiffeq.core.lightning_models.mix_ins._potential_mix_in.PotentialMixIn.__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).