dh x%SSKJrJrJrJrJr SSKrSSKJ r SSK J r SSK J r Jr Sr\\S'"SS \ \ 5rg) )AnyDictListOptionalcastN) Embeddings)pre_init) BaseModel ConfigDictlaser2LASER_MULTILINGUAL_MODELc\rSrSr%SrSr\\\S'Sr \ \S'\ "SS9r \ S\S \4S j5rS \\S \\\4S jrS \S \\4SjrSrg)LaserEmbeddings aLASER Language-Agnostic SEntence Representations. LASER is a Python library developed by the Meta AI Research team and used for creating multilingual sentence embeddings for over 147 languages as of 2/25/2024 See more documentation at: * https://github.com/facebookresearch/LASER/ * https://github.com/facebookresearch/LASER/tree/main/laser_encoders * https://arxiv.org/abs/2205.12654 To use this class, you must install the `laser_encoders` Python package. `pip install laser_encoders` Example: from laser_encoders import LaserEncoderPipeline encoder = LaserEncoderPipeline(lang="eng_Latn") embeddings = encoder.encode_sentences(["Hello", "World"]) Nlang_encoder_pipelineforbid)extravaluesreturncSSKJn URS5nU(aU"US9nO U"[S9nXAS'U$![an[ S5UeSnAff=f) z0Validate that laser_encoders has been installed.r)LaserEncoderPipeliner)r)laserrzfCould not import 'laser_encoders' Python package. Please install it with `pip install laser_encoders`.N)laser_encodersrgetr ImportError)clsrrrencoder_pipelinees \/var/www/html/shao/venv/lib/python3.13/site-packages/langchain_community/embeddings/laser.pyvalidate_environment$LaserEmbeddings.validate_environment,sl  ;::f%D#7T#B #7>V#W *:& '  G  s37 A A  AtextscURRU5n[[[[UR 55$)zGenerate embeddings for documents using LASER. Args: texts: The list of texts to embed. Returns: List of embeddings, one for each text. rencode_sentencesrrfloattolist)selfr# embeddingss r embed_documentsLaserEmbeddings.embed_documents@s9++<'>'@A!DDr-)__name__ __module__ __qualname____firstlineno____doc__rrstr__annotations__rrr model_configr rr!rr'r+r1__static_attributes__r3r-r rr s$D(3-"s!L$4& rCs4220)* (#(NEiNEr-