deltakit.decode.noise_sources.NoMatchingNoise

class deltakit.decode.noise_sources.NoMatchingNoise

Bases: IndependentMatchingNoise

A noise model that outputs an infinite stream of empty decoding edge lists.

Used to define ZERO for the purpose of monte carlo model addition.

Methods

NoMatchingNoise.as_exhaustive_sequential_model	Return the equivalent exhaustive model for this noise model.
NoMatchingNoise.build_batch_error_generator	Given some representation of a code, return a generator of batches of errors for that code.
NoMatchingNoise.build_split_batch_error_generators	Given some representation of a code, return num_splits number of batch generators of errors for that code and the respective sizes for those generators.
NoMatchingNoise.empty_filter	Filter that does not change the input.
NoMatchingNoise.error_generator	Given some representation of a code, return a generator of errors for that code.
NoMatchingNoise.field_values	Return the values of data that characterises this noise model.
NoMatchingNoise.get_rng	Return a numpy random number generator, using the member data seed.
NoMatchingNoise.importance_sampling_decomposition	Expresses the independent error distribution as a statistical mixture of other error distributions.
NoMatchingNoise.split_error_generator	Given some representation of a code, return num_splits number of generators of errors for that code and the respective sizes for those generators.