| import copy |
| import pytest |
|
|
|
|
| @pytest.mark.parametrize('model', [('kmeans_pca_topic_model'), |
| ('base_topic_model'), |
| ('custom_topic_model'), |
| ('merged_topic_model'), |
| ('reduced_topic_model'), |
| ('online_topic_model')]) |
| def test_topics(model, request): |
| topic_model = copy.deepcopy(request.getfixturevalue(model)) |
| fig = topic_model.visualize_topics() |
| for slider in fig.to_dict()["layout"]["sliders"]: |
| for step in slider["steps"]: |
| assert int(step["label"].split(" ")[-1]) != -1 |
|
|
| fig = topic_model.visualize_topics(top_n_topics=5) |
| for slider in fig.to_dict()["layout"]["sliders"]: |
| for step in slider["steps"]: |
| assert int(step["label"].split(" ")[-1]) != -1 |
|
|
| @pytest.mark.parametrize('model', [('kmeans_pca_topic_model'), |
| ('base_topic_model'), |
| ('custom_topic_model'), |
| ('merged_topic_model'), |
| ('reduced_topic_model'), |
| ('online_topic_model')]) |
| def test_topics_outlier(model, request): |
| topic_model = copy.deepcopy(request.getfixturevalue(model)) |
| topic_model.topic_sizes_[-1] = 4 |
| fig = topic_model.visualize_topics() |
|
|
| for slider in fig.to_dict()["layout"]["sliders"]: |
| for step in slider["steps"]: |
| assert int(step["label"].split(" ")[-1]) != -1 |
|
|
| fig = topic_model.visualize_topics(top_n_topics=5) |
| for slider in fig.to_dict()["layout"]["sliders"]: |
| for step in slider["steps"]: |
| assert int(step["label"].split(" ")[-1]) != -1 |
|
|
