a h@s>dZddlmZddlZddlZddlmZGdddZdS)a@ This file contains deprecated code that can only be used with the old `model.fit`-style Sentence Transformers v2.X training. It exists for backwards compatibility with the `model.old_fit` method, but will be removed in a future version. Nowadays, with Sentence Transformers v3+, it is recommended to use the `SentenceTransformerTrainer` class to train models. See https://www.sbert.net/docs/sentence_transformer/training_overview.html for more information. Instead, you should create a `datasets` `Dataset` for training: https://huggingface.co/docs/datasets/create_dataset ) annotationsN) InputExamplec@s2eZdZdZdddddejfddZd d d Zd S) TripletReaderzReads in the a Triplet Dataset: Each line contains (at least) 3 columns, one anchor column (s1), one positive example (s2) and one negative example (s3) rrF cCs.||_||_||_||_||_||_||_dS)N)dataset_folder s1_col_idx s2_col_idx s3_col_idx has_header delimiterquoting)selfrr r r r r rrg/var/www/html/assistant/venv/lib/python3.9/site-packages/sentence_transformers/readers/TripletReader.py__init__s zTripletReader.__init__c Cstjttj|j|dd|j|jd}g}|j r:t |t |D]T\}}||j }||j }||j} |t||| gd|dkrBt||krBqqB|S)Nzutf-8)encoding)r r)Ztextsr)csvreaderopenospathjoinrr rr next enumerater r r appendrlen) rfilenameZ max_examplesdataZexamplesidrows1s2Zs3rrr get_examples*s    zTripletReader.get_examplesN)r)__name__ __module__ __qualname____doc__r QUOTE_NONErr$rrrrrs r)r( __future__rrrrrrrrrs