o h#@sxdZddlZddlZddlZddlmZddlZddlZddlZddl m Z dgZ ddZ dd Z e d kr:e dSdS) a\ Create Stanza character LM train/dev/test data, by reading from txt files in each source corpus directory, shuffling, splitting and saving into multiple smaller files (50MB by default) in a target directory. This script assumes the following source directory structures: - {src_dir}/{language}/{corpus}/*.txt It will read from all source .txt files and create the following target directory structures: - {tgt_dir}/{language}/{corpus} and within each target directory, it will create the following files: - train/*.txt - dev.txt - test.txt Args: - src_root: root directory of the source. - tgt_root: root directory of the target. - langs: a list of language codes to process; if specified, languages not in this list will be ignored. Note: edit the {EXCLUDED_FOLDERS} variable to exclude more folders in the source directory. N)Path)tqdm raw_corpusc st}|jdddd|jdddd|jdd d d|jd d d d|jd ddddd|jddtdd|jdddddd|}tdtd|jtd|jtd gt|j dkrt|j dtdt gt|j dkr|j dtd t t |jt |j}t}d!d"|D}fd#d"|D}tdkrfd$d"|D}tt|d%t|td t|jd&d&}|D]m}|t}tdkrfd'd"|D}fd(d"|D}tt|d)|d*t|td |D]/}|}|||} tj| s&t| td+|d,|t|| |||j||jqtd qdS)-Nsrc_rootsrczRoot directory with all source files. Expected structure is root dir -> language dirs -> package dirs -> text files to process)defaulthelptgt_roottgtz%Root directory with all target files.z--langszaA list of language codes to process. If not set, all languages under src_root will be processed.z --packageszeA list of packages to process. If not set, all packages under the languages found will be processed.z--no_xz_outputT xz_output store_falsezOutput compressed xz files)rdestactionrz --split_size2z#How large to make each split, in MB)rtyperz--no_make_test_filemake_test_filezoDon't save a test file. Honestly, we never even use it. Best for low resource languages where every bit helpszProcessing files:z source root: z target root: r,z)Only processing the following languages: z(Only processing the following packages: cSsg|]}|tvr|qS)EXCLUDED_FOLDERS.0lrr[/var/www/html/env_mimamsha/lib/python3.10/site-packages/stanza/utils/charlm/make_lm_data.py >zmain..c g|] }tj|r|qSrospathisdirr)rrrr? cg|]}|vr|qSrrr)langsrrrArz total languages found:cr"rrrd)packagesrrrLrcrrrr%) lang_rootrrrMr!z! total corpus found for language .z-> Processing -)argparseArgumentParser add_argumentint parse_argsprintrr lenr#splitstrr'rrlistdir split_sizerexistsmakedirsprepare_lm_datar r) parserargsr lang_dirsr5lang data_dirs dataset_namesrc_dirtgt_dirr)r(r#r'rrmain sd           rAc Cst|tsJt|tsJtj|d}tj||d|d}td|dtt |dtt |dtt |d} t | D]F} | d rad | d |} t j | d d qJ| drvd| d |} t j | d d qJ| drd| d |} t j | d d qJtd| tj||d|d} td| dd |d| } t j | d d } | jdkrtdtj| ddd}td|dd|dkrtdtd|d|d }tj|st|d!|d"| d#|d$|d|d } t j | d d } | jdkrtd%tt|d}td&|d'|d(kr2td)||d*}|d+}|rntd,t|d$|d|d-|t|d$|d|d.|||gt|d}ntd/t|d$|d|d-||gt|d}|rtd0t |D] }t d1|gqtd2Wd3n 1swYtd4|d|d5d3S)6z\ Combine, shuffle and split data into smaller files, following a naming convention. )dirr*z.tmpz--> Copying files into z...z/*.txtz /*.txt.xzz /*.txt.gzz.txtzcat z >> T)shellz.txt.xzzxzcat z.txt.gzzzcat zshould not have found %sz .tmp.shuffledz--> Shuffling files into z | shuf > rzFailed to shuffle files!r$z--> Shuffled file size: z.4fz GBg?zFNot enough data found to build a charlm. At least 100MB data expectedz)--> Splitting into smaller files of size z ...trainz split -C z" -a 4 -d --additional-suffix .txt  /zFailed to split files!z--> z total files generated.zTSomething went wrong! %d file(s) produced by shuffle and split, expected at least 3z/dev.txtz /test.txtz"--> Creating dev and test files...z -0000.txtz -0001.txtz--> Creating dev file...z--> Compressing files...xzz--> Cleaning up...Nz--> All done for z. ) isinstancertempfileTemporaryDirectoryrrjoinr0globr3rendswith subprocessrunAssertionError returncode RuntimeErrorgetsizer6r7r1shutilmove)r?r@r<r>compressr5rtempdirtgt_tmp input_filessrc_fncmdtgt_tmp_shuffledresultsize train_dirtotaldev_file test_file txt_filestxt_filerrrr8]sp6        $       s  =D