[docs]class Generator:
[docs] def step(self, configuration):
r'''
Parameters
----------
configuration: dictionary
Contains (at least) the relevant field variables from which to update the Markov chain.
Returns
-------
dictionary
The next configuration (and any inline observables), also as a dictionary.
'''
return x.copy()
[docs] def inline_observables(self, steps):
r'''
Parameters
----------
steps: int
Returns
-------
dict
Containing an initialized set of inline observables,
each with an outer dimension of size ``steps``.
Presumably it makes sense to initialize to 0, but it's not required.
'''
return dict()