~ i UddlmZmZmZmZmZddlZddlm Z ddl m Z ddl m Z mZdZeed<Gdd e e ZdS) )AnyDictListOptionalcastN) Embeddings)pre_init) BaseModel ConfigDictlaser2LASER_MULTILINGUAL_MODELceZdZUdZdZeeed< dZe ed<e dZ e de de fd Zd eedeeefd Zd edeefd ZdS)LaserEmbeddingsaLASER 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)extravaluesreturnc ddlm}|d}|r ||}n|t}||d<n"#t$r}t d|d}~wwxYw|S) z0Validate that laser_encoders has been installed.r)LaserEncoderPipeliner)r)laserrzfCould not import 'laser_encoders' Python package. Please install it with `pip install laser_encoders`.N)laser_encodersrgetr ImportError)clsrrrencoder_pipelinees C:\Users\Dell Inspiron 16\Desktop\tws\AgrotaPowerBi\back-agrota-powerbi\mcp-client-agrota\venv\Lib\site-packages\langchain_community/embeddings/laser.pyvalidate_environmentz$LaserEmbeddings.validate_environment,s  ; ; ; ; ; ;::f%%D X#7#7T#B#B#B  #7#7>V#W#W#W *:F& ' '   G    sAA A" AA"textsc|j|}tttt|S)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 rembed_documentszLaserEmbeddings.embed_documents@s?+<'>'@'@AA!DDr*)__name__ __module__ __qualname____doc__rrstr__annotations__rrr model_configr rr rr%r)r.r*rrr s$D(3-"s!!!:L$4X& r=s222222222222222000000))))))******** (#(((NENENENENEiNENENENENEr*