o ݱiªã@s6ddlmZddlZGdd„dƒZGdd„deƒZdS)é)ÚUnionNc@sReZdZdZdejdejfdd„Zdejdejfdd „Zdejdejfd d „Zd S) ÚLinearNormalizerzC A class to linearly normalizes data to the range [-1, 1]. ÚscaleÚoffsetcCs||_||_dS)zÙ Initializes a new instance of the LinearNormalizer class with given statistics. Args: scale: The scale factor for normalization. offset: The offset for normalization. N©rr)Úselfrr©rúE/data/cameron/vidgen/unified-world-model/datasets/utils/normalizer.pyÚ__init__ s zLinearNormalizer.__init__ÚxÚreturncCs||j|jS)zH Normalizes the input data using the stored statistics. )rr©rr rrr Ú__call__ózLinearNormalizer.__call__cCs||j|jS)zJ Reconstructs the original data from the normalized data. rr rrr Ú reconstructrzLinearNormalizer.reconstructN) Ú__name__Ú __module__Ú __qualname__Ú__doc__ÚnpÚndarrayr rrrrrr rs  rcsfeZdZdZdeeeeej ej fefff‡fdd„ Z dedefdd„Z dedefd d „Z ‡Z S) ÚNestedDictLinearNormalizerz_ A class that applies linear normalization to values in a nested dictionary structure. ÚstatscsZtƒ ¡| ¡D]!\}}t|tƒrt|ƒ||<q tt |d¡t |d¡ƒ||<q dS)aS Initializes a new instance of the NestedDictLinearNormalizer class with given statistics. Args: stats: A dictionary containing statistics for each key. The values can either be tuples representing scale and offset values or dictionaries that require recursive scaling. réN) Úsuperr ÚitemsÚ isinstanceÚdictrrrÚarray)rrÚkÚv©Ú __class__rr r 's  $üz#NestedDictLinearNormalizer.__init__r r có‡fdd„| ¡DƒS)z` Normalizes all values in the input dictionary based on the stored normalizers. cs.i|]\}}||ˆ ¡vrˆ||ƒn|“qSr)Úkeys©Ú.0rr ©rrr Ú ;s.z7NestedDictLinearNormalizer.__call__..©rr rr'r r7sz#NestedDictLinearNormalizer.__call__cr#)zb Reconstructs the original values from normalized values in the input dictionary. cs0i|]\}}||ˆ ¡vrˆ| |¡n|“qSr)r$rr%r'rr r(As$ÿz:NestedDictLinearNormalizer.reconstruct..r)r rr'r r=s ÿz&NestedDictLinearNormalizer.reconstruct)rrrrrÚstrrÚtuplerrr rrÚ __classcell__rrr!r r"s .r)ÚtypingrÚnumpyrrrrrrrr Ús