fix bugs for pytest.

.gitignore

@@ -38,3 +38,5 @@ docs/log*
 *.egg-info
 dist/
 build/
+
+.coverage

.travis.yml

@@ -16,10 +16,10 @@ before_install:
 install:
 - pip install -r requirements.txt
 - pip install wheel
-- python setup.py bdist_wheel
 
 script:
-- pytest --cov-report term --cov=gklearn gklearn/tests/
+- python setup.py bdist_wheel
+- pytest -v --cov-report term --cov=gklearn gklearn/tests/
 
 after_success:
 - codecov

gklearn/tests/__init__.py

@@ -0,0 +1,8 @@
+# -*-coding:utf-8 -*-
+"""tests - tests module.
+"""
+
+# info
+__version__ = "0.1"
+__author__ = "Linlin Jia"
+__date__ = "March 2020"

gklearn/tests/test_graphkernels.py

@@ -0,0 +1,32 @@
+"""Tests of graph kernels.
+"""
+
+#import pytest
+from gklearn.utils.graphfiles import loadDataset
+
+
+def test_spkernel():
+    """Test shortest path kernel.
+    """
+    from gklearn.kernels.spKernel import spkernel
+    from gklearn.utils.kernels import deltakernel, gaussiankernel, kernelproduct
+    import functools
+    import multiprocessing
+
+    ds_file = 'datasets/Alkane/dataset.ds'
+    ds_y = 'datasets/Alkane/dataset_boiling_point_names.txt'
+    Gn, y = loadDataset(ds_file, filename_y=ds_y)
+    Gn = Gn[0:10]
+    y = y[0:10]
+    
+    mixkernel = functools.partial(kernelproduct, deltakernel, gaussiankernel)
+    try:
+        Kmatrix, run_time, idx = spkernel(Gn, node_label=None, node_kernels=
+            {'symb': deltakernel, 'nsymb': gaussiankernel, 'mix': mixkernel},
+            n_jobs=multiprocessing.cpu_count(), verbose=True)
+    except Exception as exception:
+        assert False, exception
+    
+
+if __name__ == "__main__":
+    test_spkernel()

gklearn/tests/test_tools.py

@@ -0,0 +1 @@
+print('Hello graphkit-learn!')