OjK ddlmZddlmZddlmZmZdeeefdedeeeffdZ ded ed ee d zee d zege fde fd Z d S) )Callable)Any)ContextTreeSpec user_kwargsspecreturnc|jturtd|j|jdkrtd|j|d}|jt urtd|jt |t |jkr'tdt|d|ji}|jD] }||||<|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(Expected spec type to be tuple, but got z*Expected spec to have 2 children, but got z.Expected kwargs_spec type to be dict, but got z>Ran into a kwarg keyword mismatch: Got the following keywords z but expected ) typetupleAssertionError num_childrenchilddictsetcontext ValueErrorlist)rr kwargs_specreordered_kwargskws FC:\Projects\DSCons\.venv\Lib\site-packages\torch\export\_tree_utils.pyreorder_kwargsrs* yS SSTTT A L9J L L   **Q--Kt## O[=M O O    ;3{23333 a*.{*;*; a aKVK^ a a   !//*2 spec1spec2equivalence_fnNc||j|j|j|jsdS|j|jkrdSt||D]\}}t |||sdSdS)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 rrzipchildren is_equivalent)rrr child_spec1 child_spec2s rr#r#)s( >%*emUZ O Ou U///u$'(8(8%..:J:J$K$K [[+~FF 55  4r) collections.abcrtypingrtorch.utils._pytreerrrstrrr boolr#rrr,s$$$$$$11111111S#Xh4S>D  dTk7D4KI4OP r