o h@sdZddlZddlZddlZddlZddlZddlZddlZddlZddl m Z m Z ddl m Z ddlmZddlmZddlmZeZedZdd d Zdd d Zedkr]edSdS)aUse a Stanza tokenizer to turn a text file into one tokenized paragraph per line For example, the output of this script is suitable for Glove Currently this *only* supports tokenization, no MWT splitting. It also would be beneficial to have an option to convert spaces into NBSP, underscore, or some other marker to make it easier to process languages such as VI which have spaces in them N)open_read_textdefault_device)TokenizationDataset)output_predictions)TokenizeProcessor)get_tqdmz\n\s*\nc Cs|}t|}ttdt||ddD]H}t||t|}|||}dd|D} || } | D](} t| j D]\} } | dkrH| d| d dd| j Dq;| d q4qdS) NrFleavecSsg|] }tjg|dqS)text)stanzaDocument).0drd/var/www/html/env_mimamsha/lib/python3.10/site-packages/stanza/models/tokenization/tokenize_files.py &sz$tokenize_to_file.. css|]}|jVqdSNr )rxrrr ,sz#tokenize_to_file.. ) readNEWLINE_SPLIT_REsplittqdmrangelenmin bulk_process enumerate sentenceswritejointokens) tokenizerfinfout chunk_sizeraw_text documents chunk_start chunk_endchunkin_docsout_docsdocumentsent_idxsentencerrrtokenize_to_file s     r4c Cst}|jdtddd|jdtddd|jdtdd d |jd td d d|jdtddd|jdtddd|j|d}tj|j rPt d|j dS|j rb|j dd}t |dt d}ntj|jd|jd}|jd}t|j dddy}t|jD]j}|drt|9}|}t|ddD]&} ||d} tj| dd} t|| |Wdn1swYqWdn1swYqt|dd} t|| |Wdn1swYqWddS1swYdS) Nz--langsdz&Which language to use for tokenization)typedefaulthelpz--tokenize_model_pathzSpecific tokenizer model to use input_files+zWhich input files to tokenize)r6nargsr8z --output_filez glove.txtz#Where to write the tokenized outputz --model_dirz?Where to get models for a Pipeline (None => default models dir)z --chunk_sizerzHow many 'documents' to use in a chunk when tokenizing. This is separate from the tokenizer batching - this limits how much memory gets used at once, since we don't need to store an entire file in memory at once)argsz6Cowardly refusing to overwrite existing output file %sF) model_pathcheck_requirements)pipelinedevicetokenize)lang processors model_dirwzutf-8)encodingz.zipr r)argparseArgumentParser add_argumentstrint parse_argsospathexists output_fileprinttokenize_model_pathrrr PipelinerBrDrCopenrr9endswithzipfileZipFilenamelistio TextIOWrapperr4r) r<parserconfigr&piper(filenamezin input_names input_namer'rrrmain/sL    "rb__main__)rr)__doc__rGrYrMtimererVtorchr stanza.models.common.utilsrrstanza.models.tokenization.datar stanza.models.tokenization.utilsr"stanza.pipeline.tokenize_processorrstanza.utils.get_tqdmrrcompilerr4rb__name__rrrrs*        #