def node_embeddings() -> list[TextNode]:
    """Return a list of TextNodes with embeddings."""
    return [
        TextNode(
            text="foo",
            id_="ffddfb6b-2cad-48ec-917e-6a7dfaba3c9e",
            relationships={NodeRelationship.SOURCE: RelatedNodeInfo(node_id="test-1")},
            metadata={
                "theme": "FOO",
                "location": 1,
            },
            embedding=text_to_embedding("foo"),
        ),
        TextNode(
            text="bar",
            id_="6f74bc29-8d84-4c3c-b458-e6a082cf1938",
            relationships={NodeRelationship.SOURCE: RelatedNodeInfo(node_id="test-1")},
            metadata={
                "theme": "BAR",
                "location": 2,
            },
            embedding=text_to_embedding("bar"),
        ),
        TextNode(
            text="baz",
            id_="e99b4f5f-5bc5-4cff-8c4e-ee1d66479a11",
            relationships={NodeRelationship.SOURCE: RelatedNodeInfo(node_id="test-2")},
            metadata={
                "theme": "BAZ",
                "location": 3,
            },
            embedding=text_to_embedding("baz"),
        ),
    ]
Return a list of TextNodes with embeddings.
llama-index-integrations/vector_stores/llama-index-vector-stores-oceanbase/tests/test_vector_stores_oceanbase.py