def _build_from_input_dict(cls, input_dict: dict):
operators = input_dict.pop('operators')
n_dims = input_dict.pop('n_dims')
base_kernels = input_dict.pop('base_kernels')
built = input_dict.pop('built')
grammar = super()._build_from_input_dict(input_dict)
grammar.operators = operators
grammar.n_dims = n_dims
grammar.base_kernels = None if base_kernels is None else [
Covariance.from_dict(k) for k in base_kernels
]
grammar.built = built
return grammar
def _format_input_dict(cls, input_dict: dict) -> dict:
input_dict = super()._format_input_dict(input_dict)
input_dict["covariance"] = Covariance.from_dict(input_dict["covariance"])
input_dict["likelihood"] = None if input_dict['likelihood'] is None else \
Likelihood.from_dict(input_dict["likelihood"])
return input_dict