o 5ti@sdZddlmZddlmZddlmZddlZddlmZddlZddl m Z ddl m Z  dd d Z d d Z dddZddZddZddZddZdS)z2Library for reading/writing input and score files.)absolute_import)division)print_functionN)logging)zip) zip_longest c Cst|}t|}t|dkst|t|kr$tdt||t||ft||||}|r@|D]} || q/t||dSt||dS)aRuns aggregate score calculations and outputs results to a CSV file. Args: target_filepattern: Pattern for files containing target text. prediction_filepattern: Pattern for files containing prediction text. output_filename: Name of file to write results to. scorer: A BaseScorer object to compute scores. aggregator: An aggregator to aggregate scores. If None, outputs are per-example scores. delimiter: Record delimiter. zzMust have equal and positive number of target and prediction files. Found: %d target files (%s), %d prediction files (%s).N)_globlen ValueError_compute_scores add_scores_write_aggregates_to_csv aggregate_write_scores_to_csv) target_filepatternprediction_filepatternoutput_filenamescorer aggregator delimitertarget_filenamesprediction_filenamesscoresscorerB/home/ubuntu/.local/lib/python3.10/site-packages/rouge_score/io.pycompute_scores_and_write_to_csvs"  rcCs t|SN)glob) filepatternrrrr D r rcCs t||Sr)open)r!moderrr_openHr"r&ccsrt|}|t|}Wdn1swY|dr)tdn|dd}|D]}|Vq1dS)z5Opens file and yields records separated by delimiter.Nz!Expected delimiter at end of file)r&readsplitsix ensure_strrwarn)filenamerfrecordsrecordrrr _record_genLs   r1c Csg}tt|t|D]=\}}td|td|t||}t||}t||D]\} } | dus6| dur>td||f||| | q*q |S)aComputes aggregates scores across the given target and prediction files. Args: target_filenames: List of filenames from which to read target lines. prediction_filenames: List of filenames from which to read prediction lines. scorer: A BaseScorer object to compute scores. delimiter: string delimiter between each record in input files Returns: A list of dicts mapping score_type to Score objects. Raises: ValueError: If invalid targets or predictions are provided. zReading targets from %s.zReading predictions from %s.NzcMust have equal number of lines across target and prediction files. Mismatch between files: %s, %s.) rsortedrinfor1rr appendr) rrrrrtarget_filenameprediction_filenametargetspreds target_recprediction_recrrrr Zs      r c Cstd|t|dK}|dt|D]7\}}|d||jj|jj|j jf|d||jj |jj |j j f|d||jj |jj |j j fqWdn1sYwYtddS) auWrites aggregate scores to an output CSV file. Output file is a comma separated where each line has the format: score_type-(P|R|F),low_ci,mean,high_ci P/R/F indicates whether the score is a precision, recall or f-measure. Args: output_filename: Name of file to write results to. aggregates: A dict mapping each score_type to a AggregateScore object. Writing results to %s.wzscore_type,low,mid,high z%s-R,%f,%f,%f z%s-P,%f,%f,%f z%s-F,%f,%f,%f NFinished writing results.) rr3r&writer2itemslowrecallmidhigh precisionfmeasure)r aggregates output_file score_typerrrrrzs,     rc Cst|dkr tddSt|d}td|t|dM}|d|D] }|dj|d q(|d t |D](\}}|d ||D]}|d ||j ||j ||j fqJ|d q=Wdn1spwYtd dS)aiWrites scores for each individual example to an output CSV file. Output file is a comma separated where each line has the format: id,score1,score2,score3,... The header row indicates the type of each score column. Args: output_filename: Name of file to write results to. scores: A list of dicts mapping each score_type to a Score object. r zNo scores to writeNrr;r<idz,{t}-P,{t}-R,{t}-F)trz%dz ,%f,%f,%fr=) r rr,r2keysr3r&r>format enumeraterDrArE)rr rouge_typesout_file rouge_typeiresultrrrrs,       r)r)r#)__doc__ __future__rrrr abslrr* six.movesrrrr r&r1r rrrrrrs"       &