/
test_visuals.py
103 lines (82 loc) · 2.48 KB
/
test_visuals.py
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"""
Visuals Tests
-------------
"""
import os
import matplotlib.pyplot as plt
from kwx import visuals
from pytest_cov.embed import cleanup_on_sigterm
os.environ["TOKENIZERS_PARALLELISM"] = "false"
cleanup_on_sigterm()
def test_graph_topic_num_evals(monkeypatch, long_text_corpus):
monkeypatch.setattr(plt, "show", lambda: None)
visuals.graph_topic_num_evals(
method=["lda", "bert"],
text_corpus=long_text_corpus,
num_keywords=10,
topic_nums_to_compare=[9, 10],
save_file=False,
return_ideal_metrics=False,
verbose=False,
)
def test_return_ideal_metrics(long_text_corpus):
assert isinstance(
visuals.graph_topic_num_evals(
method=["lda"],
text_corpus=long_text_corpus,
num_keywords=10,
topic_nums_to_compare=[9, 10],
save_file=False,
return_ideal_metrics=True,
verbose=False,
)[1],
int,
)
def test_gen_word_cloud(monkeypatch, long_text_corpus):
monkeypatch.setattr(plt, "show", lambda: None)
visuals.gen_word_cloud(
text_corpus=long_text_corpus, ignore_words="word", save_file=False,
)
def test_gen_word_cloud_zip(monkeypatch, long_text_corpus):
monkeypatch.setattr(plt, "show", lambda: None)
visuals.gen_word_cloud(
text_corpus=long_text_corpus, ignore_words="word", save_file="tests/test.zip",
)
os.remove("tests/test.zip")
def test_pyLDAvis_topics(long_text_corpus):
visuals.pyLDAvis_topics(
method="lda",
text_corpus=long_text_corpus,
num_topics=10,
save_file="tests",
display_ipython=False,
)
os.remove("tests/lda_topics.html")
def test_pyLDAvis_topics_zip(long_text_corpus):
visuals.pyLDAvis_topics(
method="lda",
text_corpus=long_text_corpus,
num_topics=10,
save_file="tests/test.zip",
display_ipython=False,
)
os.remove("tests/test.zip")
def test_t_sne(monkeypatch, long_text_corpus):
monkeypatch.setattr(plt, "show", lambda: None)
visuals.t_sne(
dimension="both",
text_corpus=long_text_corpus,
num_topics=3,
remove_3d_outliers=True,
save_file=False,
)
visuals.t_sne(
dimension="2d", text_corpus=long_text_corpus, num_topics=3, save_file=False,
)
visuals.t_sne(
dimension="3d",
text_corpus=long_text_corpus,
num_topics=3,
remove_3d_outliers=True,
save_file=False,
)