biY RdZddlZdeedefdZdeefdZd deded ed efd Zy) 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) Nlinesnamec|dk7r|dk7rtd|dgd}}|D]M}|sd||vrd}|j| |s#|dk(rd|vr|cS|dk(rd |vr|cS|j|Oy ) 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 Y/home/cdr/jupyterlab/.venv/lib/python3.12/site-packages/accelerate/test_utils/examples.pyget_function_contents_by_namers ""tv~;D6Anopp % J $dV}4K   d #  **zT/A!!v~-4"7!!   d # $cx|Dcgc]*}|jjdr#|dk7s)|,c}Scc}w)z Filters `lines` and removes any entries that start with a comment ('#') or is just a newline (' ') Args: lines (`List[str]`): Source code of a script separated by line. # )lstrip startswith)rr s r clean_linesr3s2# YT$++-*B*B3*GDTXLD YY Ys $777 base_filenamefeature_filename parser_onlysecondary_filenamect|5}|j}dddttjj tjj dd5}|j}dddt|5}|j}ddd|$t|5}|j}ddd|rWt td} t td} t td} |lt td} nVt td} t td} t td} |t td} d} g}g}t| }tt| dz D]]}||vst|}|| vs|j| k7s,d|vr#|j||j|St|}_g}g}t| D]J\}}||vs || vs|j| k7s$d|vs)|j||j|L|Dcgc] }||vs| }}|(|Dcgc] }| vs| }}|Dcgc] }||vs| }}|S#1swYxYw#1swY4xYw#1swYxYw#1swYxYwcc}wcc}wcc}w) 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 J+a[[]+  .1 ! .% $ % 4&'kkm # 4$%BCUW]%^_$%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`>`aa%*<`$L_@_` `.?]d4}C\T]] w++++.. 4 4^b`]sSJ!+J.J;5K% K/K; KK KK!J+.J8;KK)N)__doc__r liststrrrboolr;rr rAs`   $c$#$4ZtCyZSSsSQUSknSr