add flake8 to test dir

Makefile

@@ -36,7 +36,7 @@ lint:
 	$(python) -m isort --settings-file=setup.cfg pyBigKinds/ test/
 
 format:
-	$(python) -m flake8 --config=setup.cfg pyBigKinds/
+	$(python) -m flake8 --config=setup.cfg pyBigKinds/ test/
 	$(python) -m pylint --rcfile=.pylintrc pyBigKinds/
 
 test:

setup.cfg

@@ -41,7 +41,9 @@ max-complexity = 18
 select = B,C,E,F,W,T4,B9
 extend-ignore = E203, W503
 ignore = E203,E226,E251,E501,E722,F821,W503,W605
-per-file-ignores = __init__.py:F401,F403,F405
+per-file-ignores =
+    __init__.py:F401,F403,F405
+    test/*:F403,F405
 exclude =
 
 [isort]

test/test_base.py

@@ -1,3 +1,6 @@
+# pylint: disable=F403
+# pylint: disable=F405
+
 import pandas as pd
 import pytest
 
@@ -9,6 +12,7 @@ def dataframe():
     df = pd.read_excel("test/test.xlsx")
     return df
 
+
 def test_header_remover(dataframe):
     ans = header_remover(dataframe)
     assert ans[0] == " 한반도 긴장 높인 북한의 군사정찰위성 발사 규탄한다"

test/test_preprocessing.py

@@ -35,7 +35,7 @@ def test_tfidf(dataframe):
 def test_tfidf_vector(dataframe):
     vector = tfidf_vector(dataframe)
     assert type(vector) == np.ndarray
-    assert vector.shape == (31,2160)
+    assert vector.shape == (31, 2160)
 
 
 def test_normalize_vector(dataframe):

test/test_representation.py

@@ -11,47 +11,50 @@ def vector():
     vector = tfidf_vector(df)
     return vector
 
+
 @pytest.fixture(scope="module")
 def dataframe():
     df = pd.read_excel("test/test.xlsx")
     return df
 
+
 def test_press_counter(dataframe):
     counter = press_counter(dataframe)
     assert counter.columns[0] == '언론사'
     assert counter.columns[1] == '기사'
     assert counter['기사'].max() == counter['기사'][0]
 
+
 def test_pca(vector):
     pca_df = pca(vector)
 
     assert pca_df.columns[0] == 'component 0'
     assert pca_df.columns[1] == 'component 1'
-    assert pca_df.shape == (31,2)
+    assert pca_df.shape == (31, 2)
 
 
 def test_nmf(vector):
     nmf_df = nmf(vector)
 
     assert nmf_df.columns[0] == 'component 0'
     assert nmf_df.columns[1] == 'component 1'
-    assert nmf_df.shape == (31,2)
+    assert nmf_df.shape == (31, 2)
 
 
 def test_t_sne(vector):
     tsne_df = t_sne(vector, 100)
 
     assert tsne_df.columns[0] == 'component 0'
     assert tsne_df.columns[1] == 'component 1'
-    assert tsne_df.shape == (31,2)
+    assert tsne_df.shape == (31, 2)
 
 
 def test_lsa(vector):
     lsa_df = lsa(vector)
 
     assert lsa_df.columns[0] == 'component 0'
     assert lsa_df.columns[1] == 'component 1'
-    assert lsa_df.shape == (31,2)
+    assert lsa_df.shape == (31, 2)
 
 
 def test_kmeans(vector):

test/test_visualization.py

@@ -10,10 +10,12 @@ def vector():
     vector = tfidf_vector(df)
     return vector
 
+
 def test_keywords_wordcloud(vector):
     with pytest.raises(TypeError):
         keywords_wordcloud(vector, "press")
 
+
 def test_top_words(vector):
     with pytest.raises(TypeError):
         top_words(vector, "press")