Update tests.

gklearn/preimage/experiments/xp_median_preimage.py

@@ -92,7 +92,7 @@ def xp_median_preimage_9_2():
 				   'epsilon_ec': 0.1,
 				   'verbose': 2}
 	kernel_options = {'name': 'PathUpToH',
-					  'depth': 2, #
+					  'depth': 9, #
 					  'k_func': 'MinMax', #
 					  'compute_method': 'trie',
  					  'parallel': 'imap_unordered', 
@@ -217,7 +217,7 @@ def xp_median_preimage_8_2():
 				   'epsilon_ec': 0.1,
 				   'verbose': 2}
 	kernel_options = {'name': 'PathUpToH',
-					  'depth': 2, #
+					  'depth': 7, #
 					  'k_func': 'MinMax', #
 					  'compute_method': 'trie',
  					  'parallel': 'imap_unordered', 

gklearn/tests/test_graph_kernels.py

@@ -162,6 +162,11 @@ def test_ShortestPath(ds_name, parallel):
 					 node_kernels=sub_kernels)
 		gram_matrix, run_time = graph_kernel.compute(dataset.graphs,
 			parallel=parallel, n_jobs=multiprocessing.cpu_count(), verbose=True)
+		kernel_list, run_time = graph_kernel.compute(dataset.graphs[0], dataset.graphs[1:],
+			parallel=parallel, n_jobs=multiprocessing.cpu_count(), verbose=True)
+		kernel, run_time = graph_kernel.compute(dataset.graphs[0], dataset.graphs[1],
+			parallel=parallel, n_jobs=multiprocessing.cpu_count(), verbose=True)
+
 	except Exception as exception:
 		assert False, exception
 
@@ -190,6 +195,11 @@ def test_StructuralSP(ds_name, parallel):
 					  edge_kernels=sub_kernels)
 		gram_matrix, run_time = graph_kernel.compute(dataset.graphs,
 			parallel=parallel, n_jobs=multiprocessing.cpu_count(), verbose=True)
+		kernel_list, run_time = graph_kernel.compute(dataset.graphs[0], dataset.graphs[1:],
+			parallel=parallel, n_jobs=multiprocessing.cpu_count(), verbose=True)
+		kernel, run_time = graph_kernel.compute(dataset.graphs[0], dataset.graphs[1],
+			parallel=parallel, n_jobs=multiprocessing.cpu_count(), verbose=True)
+
 	except Exception as exception:
 		assert False, exception
 
@@ -213,6 +223,10 @@ def test_PathUpToH(ds_name, parallel, k_func, compute_method):
 					  depth=2, k_func=k_func, compute_method=compute_method)
 		gram_matrix, run_time = graph_kernel.compute(dataset.graphs,
 			parallel=parallel, n_jobs=multiprocessing.cpu_count(), verbose=True)
+		kernel_list, run_time = graph_kernel.compute(dataset.graphs[0], dataset.graphs[1:],
+			parallel=parallel, n_jobs=multiprocessing.cpu_count(), verbose=True)
+		kernel, run_time = graph_kernel.compute(dataset.graphs[0], dataset.graphs[1],
+			parallel=parallel, n_jobs=multiprocessing.cpu_count(), verbose=True)
 	except Exception as exception:
 		assert False, exception