IgJddlmZmZddlZddlmZddlmZGddeZ y))IterableOptionalN)ModelManagement) ImageInputc peZdZ d dedeedeefdZ d dededeed ee jfd Z y) ImageEmbeddingBaseN model_name cache_dirthreadsc \||_||_||_|jdd|_y)Nlocal_files_onlyF)r r r pop_local_files_only)selfr r r kwargss a/var/www/html/answerous/venv/lib/python3.12/site-packages/fastembed/image/image_embedding_base.py__init__zImageEmbeddingBase.__init__ s-%" !',>!Fimages batch_sizeparallelreturnc t)ax Embeds a list of images into a list of embeddings. Args: images: The list of image paths to preprocess and embed. batch_size: Batch size for encoding parallel: If > 1, data-parallel encoding will be used, recommended for offline encoding of large datasets. If 0, use all available cores. If None, don't use data-parallel processing, use default onnxruntime threading instead. **kwargs: Additional keyword argument to pass to the embed method. Yields: Iterable[np.ndarray]: The embeddings. )NotImplementedError)rrrrrs rembedzImageEmbeddingBase.embeds ,"##r)NN)N) __name__ __module__ __qualname__strrintrrrnpndarrayrrrrr sw$(!% G GC= G# G"& $$$3- $ "**  $rr) typingrrnumpyr"!fastembed.common.model_managementrfastembed.common.typesrrr$rrr)s%=-#$#$r