TST Migrates test_consistency.py to pytest (#3798)

tests/python_package_test/test_consistency.py

@@ -64,9 +64,7 @@ class FileLoader:
         return os.path.join(self.directory, self.prefix + suffix)
 
 
-class TestEngine(unittest.TestCase):
-
-    def test_binary(self):
+def test_binary():
     fd = FileLoader('../../examples/binary_classification', 'binary')
     X_train, y_train, _ = fd.load_dataset('.train')
     X_test, _, X_test_fn = fd.load_dataset('.test')
@@ -78,7 +76,8 @@ class TestEngine(unittest.TestCase):
     fd.train_predict_check(lgb_train, X_test, X_test_fn, sk_pred)
     fd.file_load_check(lgb_train, '.train')
 
-    def test_binary_linear(self):
+
+def test_binary_linear():
     fd = FileLoader('../../examples/binary_classification', 'binary', 'train_linear.conf')
     X_train, y_train, _ = fd.load_dataset('.train')
     X_test, _, X_test_fn = fd.load_dataset('.test')
@@ -90,7 +89,8 @@ class TestEngine(unittest.TestCase):
     fd.train_predict_check(lgb_train, X_test, X_test_fn, sk_pred)
     fd.file_load_check(lgb_train, '.train')
 
-    def test_multiclass(self):
+
+def test_multiclass():
     fd = FileLoader('../../examples/multiclass_classification', 'multiclass')
     X_train, y_train, _ = fd.load_dataset('.train')
     X_test, _, X_test_fn = fd.load_dataset('.test')
@@ -101,7 +101,8 @@ class TestEngine(unittest.TestCase):
     fd.train_predict_check(lgb_train, X_test, X_test_fn, sk_pred)
     fd.file_load_check(lgb_train, '.train')
 
-    def test_regression(self):
+
+def test_regression():
     fd = FileLoader('../../examples/regression', 'regression')
     X_train, y_train, _ = fd.load_dataset('.train')
     X_test, _, X_test_fn = fd.load_dataset('.test')
@@ -113,7 +114,8 @@ class TestEngine(unittest.TestCase):
     fd.train_predict_check(lgb_train, X_test, X_test_fn, sk_pred)
     fd.file_load_check(lgb_train, '.train')
 
-    def test_lambdarank(self):
+
+def test_lambdarank():
     fd = FileLoader('../../examples/lambdarank', 'rank')
     X_train, y_train, _ = fd.load_dataset('.train', is_sparse=True)
     X_test, _, X_test_fn = fd.load_dataset('.test', is_sparse=True)
@@ -127,7 +129,8 @@ class TestEngine(unittest.TestCase):
     fd.train_predict_check(lgb_train, X_test, X_test_fn, sk_pred)
     fd.file_load_check(lgb_train, '.train')
 
-    def test_xendcg(self):
+
+def test_xendcg():
     fd = FileLoader('../../examples/xendcg', 'rank')
     X_train, y_train, _ = fd.load_dataset('.train', is_sparse=True)
     X_test, _, X_test_fn = fd.load_dataset('.test', is_sparse=True)