| import copy |
| import pytest |
|
|
|
|
| @pytest.mark.parametrize('model', [('kmeans_pca_topic_model'), |
| ('base_topic_model'), |
| ('custom_topic_model'), |
| ('merged_topic_model'), |
| ('reduced_topic_model')]) |
| def test_documents(model, reduced_embeddings, documents, request): |
| topic_model = copy.deepcopy(request.getfixturevalue(model)) |
| topics = set(topic_model.topics_) |
| if -1 in topics: |
| topics.remove(-1) |
| fig = topic_model.visualize_documents(documents, embeddings=reduced_embeddings, hide_document_hover=True) |
| fig_topics = [int(data["name"].split("_")[0]) for data in fig.to_dict()["data"][1:]] |
| assert set(fig_topics) == topics |
|
|
