o Zh @sddlmZmZmZddlmZmZdeeefdedeeeffddZ ded ed eee eee ege fde fd d Z d S))AnyCallableOptional)ContextTreeSpec user_kwargsspecreturncCs|jtusJ|jdksJ|jd}|jtusJt|t|jkr0tdt|d|ji}|jD]}||||<q5|S)aXReorder user-provided kwargs to match the order in `spec`. `spec` is expected to be the in_spec of an exported program, i.e. the spec that results from flattening `(args, kwargs)`. We need this to provide consistent input ordering, such so that users can pass in foo(a=a, b=b) OR foo(b=b, a=a) and receive the same result. z>Ran into a kwarg keyword mismatch: Got the following keywords z but expected ) typetupleZ num_childrenchildren_specsdictsetcontext ValueErrorlist)rrZ kwargs_specZreordered_kwargskwrG/var/www/auris/lib/python3.10/site-packages/torch/export/_tree_utils.pyreorder_kwargss    rspec1spec2equivalence_fncCs`||j|j|j|js dSt|jt|jkrdSt|j|jD] \}}t|||s-dSq dS)a,Customizable equivalence check for two TreeSpecs. Arguments: spec1: The first TreeSpec to compare spec2: The second TreeSpec to compare equivalence_fn: A function to determine the equivalence of two TreeSpecs by examining their types and contexts. It will be called like: equivalence_fn(spec1.type, spec1.context, spec2.type, spec2.context) This function will be applied recursively to all children. Returns: True if the two TreeSpecs are equivalent, False otherwise. FT)r rlenrzip is_equivalent)rrrZ child_spec1Z child_spec2rrrr!s rN) typingrrrZtorch.utils._pytreerrrstrrr boolrrrrrs&