o h@@sFdZddlZddlZddlZddlmZddZedkr!edSdS)a A utility script to load a word embedding file from a text file and save it as a .pt Run it as follows: python stanza/models/common/convert_pretrain.py <.pt file> <# vectors> Note that -1 for # of vectors will keep all the vectors. You probably want to keep fewer than that for most publicly released embeddings, though, as they can get quite large. As a concrete example, you can convert a newly downloaded Faroese WV file as follows: python3 stanza/models/common/convert_pretrain.py ~/stanza/saved_models/pos/fo_farpahc.pretrain.pt ~/extern_data/wordvec/fasttext/faroese.txt -1 or save part of an Icelandic WV file: python3 stanza/models/common/convert_pretrain.py ~/stanza/saved_models/pos/is_icepahc.pretrain.pt ~/extern_data/wordvec/fasttext/icelandic.cc.is.300.vec 150000 Note that if the pretrain already exists, nothing will be changed. It will not overwrite an existing .pt file. N)pretraincCst}|jdddd|jdddd|jdtddd d |}tj|jr0t d |j|j d rBt j |j|j|j d }n t j |j|j |jd}t dt|jdS)N output_ptz$Where to write the converted PT file)defaulthelp input_veczUnconverted vectors file max_vocab?z7How many vectors to convert. -1 means convert them all)typernargsrz,Not overwriting existing pretrain file in %sz.csv)r csv_filename)rzPretrain is of size {})argparseArgumentParser add_argumentint parse_argsospathexistsrprintrendswithrPretrainrformatlenvocab)parserargsptr`/var/www/html/env_mimamsha/lib/python3.10/site-packages/stanza/models/common/convert_pretrain.pymains r __main__)__doc__r rsysstanza.models.commonrr __name__rrrrs