deltakit.decode.noise_sources.CombinedSequences

class deltakit.decode.noise_sources.CombinedSequences(internal_sources: tuple[SequentialNoise[CodeT, ErrorT], ...])

Bases: SequentialNoise[tuple[CodeT, …], tuple[ErrorT, …]], Generic[CodeT, ErrorT]

Class to combine several sequential noise sources into one combined model, where each error returned from one of the internal sources becomes an element in a tuple. This is the product of all the internal sources.

Methods

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