deltakit.decode.noise_sources.ExhaustiveMatchingNoise

class deltakit.decode.noise_sources.ExhaustiveMatchingNoise(weight: int | None, edge_filter: Callable[[HyperMultiGraph], Sequence[EdgeT]] | None = None)

Bases: SequentialNoise[HyperMultiGraph, OrderedDecodingEdges]

A noise model that outputs all errors with a given weight.

If weight is set to None, this will result in all weights being evaluated in ascending order.

Methods

ExhaustiveMatchingNoise.build_batch_error_generator	Given some representation of a code, return a generator of batches of errors for that code.
ExhaustiveMatchingNoise.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.
ExhaustiveMatchingNoise.error_generator	Given some representation of a code, return a generator of errors for that code.
ExhaustiveMatchingNoise.error_list	Given some representation of a code, return a list of errors for that code.
ExhaustiveMatchingNoise.field_values	Return the values of data that characterises this noise model.
ExhaustiveMatchingNoise.get_rng	Return a numpy random number generator, using the member data seed.
ExhaustiveMatchingNoise.sequence_size	Return the number of elements in the sequence that would be generated for the given code_data.
ExhaustiveMatchingNoise.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.