iD&SrSSKrSSKrSSKJr SSKJr SSKJr SSKJ r SSKJ r SS KJ r /S QrS S S SSSS.rSSjr\R$\R&\R(\R$\R&\R*S.rSSjr0rSr0rSr\ R8\ R8\R8\R8\R8S.r\ R<\ R<\R<\R<\R<S.rSrSrSr g)z Handles dispatching array operations to the correct backend library, as well as converting arrays to backend formats and then potentially storing them as constants. N) object_arrays)cupy)jax) tensorflow)theano)torch)get_func has_einsum has_tensordotbuild_expressionevaluate_constants has_backendz dask.arrayz theano.tensorzopt_einsum.backends.torchz jax.numpyzautograd.numpyz mars.tensor)daskrr rautogradmarsc[R"[RX55nUc [ X05$[ X0U5$![ a Sn[ UR X55ef=f)zTry and import ``{backend}.{func}``. If library is installed and func is found, return the func; otherwise if default is provided, return default; otherwise raise an error. z{} doesn't seem to provide the function {} - see https://optimized-einsum.readthedocs.io/en/latest/backends.html for details on which functions are required for which contractions.) importlib import_module_aliasesgetgetattrAttributeErrorformat)funcbackenddefaultlib error_msgs \/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/opt_einsum/backends/dispatch.py _import_funcr!sj >%%hll7&DE%,_ws!U'#W:UU >[ Y--g<== >s6A A'A,)) tensordotnumpy) transposer#)einsumr#)r"object)r$r&)r%r&ch[X4$![a [XU5nU[X4'Us$f=f)zaReturn ``{backend}.{func}``, e.g. ``numpy.einsum``, or a default func if provided. Cache result. ) _cached_funcsKeyErrorr!)rrrfns r r r <s@T]++  $ 1') dm$ s "11c[U$![a< [SU5 S[U'O![a S[U'Of=f[Us$f=f)zHCheck if ``{backend}.einsum`` exists, cache result for performance. r%TF) _has_einsumr)r rrs r r r Ls` $7## $ ) Xw '#'K  )#(K  )7##$. A,AAAA AAc[U$![a< [SU5 S[U'O![a S[U'Of=f[Us$f=f)zKCheck if ``{backend}.tensordot`` exists, cache result for performance. r"TF)_has_tensordotr)r rr-s r r r ^s` 'g&& ' , [' *&*N7 # ,&+N7 # ,g&&'r.)rrrr rc [U"X5$)zpBuild an expression, based on ``expr`` and initial arrays ``arrays``, that evaluates using backend ``backend``. )CONVERT_BACKENDSrarraysexprs r r r s G $V 22c [U"X5$)z{Convert constant arrays to the correct backend, and perform as much of the contraction of ``expr`` with these as possible. )EVAL_CONSTS_BACKENDSr3s r rrs  ( 66r6c0UR5[;$)z$Checks if the backend is known. )lowerr2r-s r rrs ==?. ..r6)N)r#N)!__doc__rr#rr_cupyr_jaxr _tensorflowr_theanor _torch__all__rr!r"r$r% object_einsumr(r r,r r0r r r2rr8rr6r rEs  ' n  (     >&"OO!OO"__"__'55    $ '$..&&  " "  $ $  00((  $ $  & &  " " 37/r6