/hY ZSrSSKrS\\S\4SjrS\\4SjrS S\S\S \S \4S jjrg) aV A collection of utilities for comparing `examples/complete_*_example.py` scripts with the capabilities inside of each `examples/by_feature` example. `compare_against_test` is the main function that should be used when testing, while the others are used to either get the code that matters, or to preprocess them (such as stripping comments) NlinesnamecUS:waUS:wa[SUS35e/Sp2UHbnU(dSU3U;aSnURU5 M(U(dM1US:Xa SU;aUs $US:Xa S U;aUs $URU5 Md g ) a Extracts a function from `lines` of segmented source code with the name `name`. Args: lines (`List[str]`): Source code of a script separated by line. name (`str`): The name of the function to extract. Should be either `training_function` or `main` training_functionmainz Incorrect function name passed: z-, choose either 'main' or 'training_function'Fzdef Tzdef mainz if __name__N) ValueErrorappend)rr good_lines found_startlines X/home/james-whalen/.local/lib/python3.13/site-packages/accelerate/test_utils/examples.pyget_function_contents_by_namers ""tv~;D6Anopp % dV}4K   d #  ;**zT/A!!v~-4"7!!   d #cUVs/sH2oR5RS5(aM(US:wdM0UPM4 sn$s snf)z Filters `lines` and removes any entries that start with a comment ('#') or is just a newline (' ') Args: lines (`List[str]`): Source code of a script separated by line. # )lstrip startswith)rr s r clean_linesr3s6# YUT++-*B*B3*GDDTXLDU YY Ys'AAA base_filenamefeature_filename parser_onlysecondary_filenamecZ[U5nUR5nSSS5 [[RR [RR SS555nUR5nSSS5 [U5nUR5nSSS5 Ub$[U5nUR5nSSS5 U(aX[ [WS55n [ [WS55n [ [WS55n Ub[ [WS55n OW[ [WS55n [ [WS55n [ [WS55n Ub[ [WS55n Sn /n/n[U 5n[[U 5S- 5HinUU;dM [U5nUU ;dMUR5U :wdM4SU;a$URU5 URU5 M^[U5nMk /n/n[U 5HVunnUU;dMUU ;dMUR5U :wdM,SU;dM4URU5 URU5 MX UVs/sH nUU;dM UPM nnUb4UVs/sH nUW ;dM UPM nnUVs/sH nUU;dM UPM nnU$!,(df  GN=f!,(df  GNs=f!,(df  GNa=f!,(df  GNL=fs snfs snfs snf) a Tests whether the additional code inside of `feature_filename` was implemented in `base_filename`. This should be used when testing to see if `complete_*_.py` examples have all of the implementations from each of the `examples/by_feature/*` scripts. It utilizes `nlp_example.py` to extract out all of the repeated training code, so that only the new additional code is examined and checked. If something *other* than `nlp_example.py` should be used, such as `cv_example.py` for the `complete_cv_example.py` script, it should be passed in for the `secondary_filename` parameter. Args: base_filename (`str` or `os.PathLike`): The filepath of a single "complete" example script to test, such as `examples/complete_cv_example.py` feature_filename (`str` or `os.PathLike`): The filepath of a single feature example script. The contents of this script are checked to see if they exist in `base_filename` parser_only (`bool`): Whether to compare only the `main()` sections in both files, or to compare the contents of `training_loop()` secondary_filename (`str`, *optional*): A potential secondary filepath that should be included in the check. This function extracts the base functionalities off of "examples/nlp_example.py", so if `base_filename` is a script other than `complete_nlp_example.py`, the template script should be included here. Such as `examples/cv_example.py` Nexamplesznlp_example.pyrrzMtrain_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size) TESTING_MOCKED_DATALOADERS)open readlinesospathabspathjoinrriterrangelennextrr enumerate)rrrrfbase_file_contentsfull_file_contentsfeature_file_contentssecondary_file_contentsbase_file_funcfull_file_funcfeature_file_funcsecondary_file_func_dl_linenew_feature_code passed_idxsitir _new_full_example_partsdiff_from_example diff_from_twos r compare_against_testr;>s0 m [[]  bggoobggll:7GHI Ja[[] K  1 !  % $ %&'kkm #&$%BCUW]%^_$%BCUW]%^_'(EF[]c(de  )"-.KLcek.l"m $%BCUWj%kl$%BCUWj%kl'(EF[]p(qr  )"--.EGZ[# `HK  B 3()A- . K 8DN*(1J/t;$++D1&&q)RA/ K^,4 K N*(1J/t;*11$7&&q) -+;a*:$dJ`>`*:a%*<`*<$L_@_*< `.?].?d4}C\T.?] w   J J  & %^b`]sSK+K(K:6L  LL$ L#2L#> L( L( K%( K7: L  L)N)__doc__r liststrrrboolr;rr rAs`   $c$#$4ZtCyZSSsSQUSknSr