o
    h                     @   s   d Z ddlmZ ddlmZ ddlZdd Ze ZeejZ	e	
  edee	je	jd jd  ejD ]/Zee dZdZeeZejD ]ZejD ]Zed Zeje	jv r^ed ZqNqIeee  q7dS )	ae  A simple script to count the fraction of words in a UD dataset which are in a particular pretrain.

For example, this script shows that the word2vec Armenian vectors,
truncated at 250K words, have 75% coverage of the Western Armenian
dataset, whereas the vectors available here have 88% coverage:

https://github.com/ispras-texterra/word-embeddings-eval-hy
    )pretrain)CoNLLNc                  C   sH   t  } | jdtddd | jdtddd | jd	d
gd |  }|S )N	treebanks*zWhich treebanks to run on)typenargshelpz
--pretrainz0/home/john/extern_data/wordvec/glove/armenian.ptzWhich pretrain to use)r   defaultr   zb/home/john/extern_data/ud2/ud-treebanks-v2.7/UD_Western_Armenian-ArmTDP/hyw_armtdp-ud-train.conlluzY/home/john/extern_data/ud2/ud-treebanks-v2.7/UD_Armenian-ArmTDP/hy_armtdp-ud-train.conllu)r   )argparseArgumentParseradd_argumentstrset_defaults
parse_args)parserargs r   g/var/www/html/env_mimamsha/lib/python3.10/site-packages/stanza/models/common/count_pretrain_coverage.pyr      s   r   z"Pretrain stats: {} vectors, {} dim   )__doc__stanza.models.commonr   stanza.utils.conllr   r
   r   r   Pretrainptloadprintformatlenvocabembshaper   treebankfoundtotal	conll2docdoc	sentencessentencewordswordtextr   r   r   r   <module>   s.    	
"
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