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added convergence steps, implemented proper broadcasting where appropriate, removed hardcoded values for e.g. initializing arrays, removed hardcoded model and sbox definition, now uses configurable models, generalized variable names towards model positions, in-lined various functions into LRA() classes, removed self.samples_range option (prefer container.slab), added option for bias bit to all algos, added normalize option to lra.py, added new classes to model_values to support these changes: MultiModel to calculate against several models at once, Sbox (e.g. instead of SboxWeight), ModelBits to use unpacked model output, Added __len__ method to ModelValue which abstracts multi_model
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dos2unix lra.pyto match rest of project