content: #  Copyright (c) ZenML GmbH 2023. All Rights Reserved.
  #
  #  Licensed under the Apache License, Version 2.0 (the "License");
  #  you may not use this file except in compliance with the License.
  #  You may obtain a copy of the License at:
  #
  #       https://www.apache.org/licenses/LICENSE-2.0
  #
  #  Unless required by applicable law or agreed to in writing, software
  #  distributed under the License is distributed on an "AS IS" BASIS,
  #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
  #  or implied. See the License for the specific language governing
  #  permissions and limitations under the License.
  
  
  from tests.unit.test_general import _test_materializer
  
  
  def test_langchain_vectorstore_materializer(clean_client):
      """Tests the Langchain Vector Store materializer."""
      from langchain_community.embeddings import FakeEmbeddings
      from langchain_community.vectorstores import SKLearnVectorStore
  
      from zenml.integrations.langchain.materializers.vector_store_materializer import (
          LangchainVectorStoreMaterializer,
      )
  
      embeddings = FakeEmbeddings(size=1352)
  
      langchain_vector_store = _test_materializer(
          step_output=SKLearnVectorStore(embedding=embeddings),
          materializer_class=LangchainVectorStoreMaterializer,
          expected_metadata_size=1,
      )
  
      assert langchain_vector_store.embeddings
  