戒酒的李白
56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
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_barchart(model, request):
|
|
topic_model = copy.deepcopy(request.getfixturevalue(model))
|
|
fig = topic_model.visualize_barchart()
|
|
|
|
assert len(fig.to_dict()["layout"]["annotations"]) == 8
|
|
for annotation in fig.to_dict()["layout"]["annotations"]:
|
|
assert int(annotation["text"].split(" ")[-1]) != -1
|
|
|
|
fig = topic_model.visualize_barchart(top_n_topics=5)
|
|
|
|
assert len(fig.to_dict()["layout"]["annotations"]) == 5
|
|
for annotation in fig.to_dict()["layout"]["annotations"]:
|
|
assert int(annotation["text"].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_barchart_outlier(model, request):
|
|
topic_model = copy.deepcopy(request.getfixturevalue(model))
|
|
topic_model.topic_sizes_[-1] = 4
|
|
fig = topic_model.visualize_barchart()
|
|
|
|
assert len(fig.to_dict()["layout"]["annotations"]) == 8
|
|
for annotation in fig.to_dict()["layout"]["annotations"]:
|
|
assert int(annotation["text"].split(" ")[-1]) != -1
|
|
|
|
fig = topic_model.visualize_barchart(top_n_topics=5)
|
|
|
|
assert len(fig.to_dict()["layout"]["annotations"]) == 5
|
|
for annotation in fig.to_dict()["layout"]["annotations"]:
|
|
assert int(annotation["text"].split(" ")[-1]) != -1
|