def test_add_point(self, denstream):
case_list = []
case_1 = Case('1')
case_1.set_activity('activityA', datetime(2015, 5, 10, 8, 00, 00))
case_1.set_activity('activityB', datetime(2015, 5, 10, 8, 00, 10))
case_1.set_activity('activityC', datetime(2015, 5, 10, 8, 00, 20))
case_list.append(case_1)
case_2 = Case('2')
case_2.set_activity('activityA', datetime(2015, 5, 10, 8, 00, 00))
case_2.set_activity('activityB', datetime(2015, 5, 10, 8, 00, 10))
case_list.append(case_2)
graph = nx.DiGraph()
graph = initialize_graph(graph, case_list)
case_3 = Case('3')
case_3.set_activity('activityA', datetime(2015, 5, 10, 8, 00, 00))
case_3.set_activity('activityB', datetime(2015, 5, 10, 8, 00, 10))
case_3.set_activity('activityC', datetime(2015, 5, 10, 8, 00, 20))
case_3.set_activity('activityD', datetime(2015, 5, 10, 8, 00, 30))
trace_distance, time_distance = extract_case_distances(graph, case_3)
case_3.graph_distance = trace_distance
case_3.time_distance = time_distance
micro_cluster = MicroCluster(10, 2, 0, 0.15)
micro_cluster.CF = np.array([0.5, -0.5])
micro_cluster.CF2 = np.array([0.5, -0.1])
micro_cluster.weight = 10
denstream.p_micro_clusters.append(micro_cluster)
micro_cluster = MicroCluster(11, 2, 0, 0.15)
micro_cluster.CF = np.array([0.0, 0.0])
micro_cluster.CF2 = np.array([0.0, 0.0])
micro_cluster.weight = 5
denstream.o_micro_clusters.append(micro_cluster)
denstream.mc_id = 2
mc_id = denstream.add_point(case_3)
assert mc_id == 2
assert len(denstream.o_micro_clusters) == 2
assert denstream.o_micro_clusters[1].radius == 0
assert denstream.o_micro_clusters[1].weight == 1
assert np.all(denstream.o_micro_clusters[1].CF == case_3.point)
assert np.all(denstream.o_micro_clusters[1].CF2 == case_3.point *
case_3.point)
cf = denstream.o_micro_clusters[1].CF.copy()
cf2 = denstream.o_micro_clusters[1].CF2.copy()
mc_id = denstream.add_point(case_3)
assert mc_id == 2
assert len(denstream.o_micro_clusters) == 1
assert len(denstream.p_micro_clusters) == 2
assert denstream.p_micro_clusters[1].weight == 2
assert np.all(denstream.p_micro_clusters[1].CF == cf + case_3.point)
assert np.all(denstream.p_micro_clusters[1].CF2 == cf2 +
case_3.point * case_3.point)
def test_release_cases_from_memory(self, process):
case1 = Case('1')
case2 = Case('2')
case3 = Case('3')
case4 = Case('4')
case4.set_activity('activity1', datetime(2015, 5, 10, 8, 30, 00))
case1.set_activity('activity1', datetime(2015, 5, 10, 9, 00, 00))
case3.set_activity('activity1', datetime(2015, 5, 10, 9, 30, 00))
case2.set_activity('activity1', datetime(2015, 5, 10, 10, 00, 00))
process.cases = [case2, case3, case1, case4]
process.release_cases_from_memory()
assert process.cases == []
process.cases = [case2, case3, case1, case4]
process.nyquist = 1
process.release_cases_from_memory()
assert process.cases == [case2]
process.cases = [case2, case3, case1, case4]
process.nyquist = 2
process.release_cases_from_memory()
assert process.cases == [case2, case3]
process.cases = [case2, case3, case1, case4]
process.nyquist = 3
process.release_cases_from_memory()
assert process.cases == [case2, case3, case1]
process.cases = [case2, case3, case1, case4]
process.nyquist = 4
process.release_cases_from_memory()
assert process.cases == [case2, case3, case1, case4]
def cases_list(self):
case_1 = Case('1')
case_1.set_activity('activityA', datetime(2015, 5, 10, 8, 00, 00))
case_1.set_activity('activityB', datetime(2015, 5, 10, 8, 00, 10))
case_1.set_activity('activityC', datetime(2015, 5, 10, 8, 00, 20))
case_2 = Case('2')
case_2.set_activity('activityA', datetime(2015, 5, 10, 8, 00, 00))
case_2.set_activity('activityB', datetime(2015, 5, 10, 8, 00, 10))
case_3 = Case('3')
case_3.set_activity('activityA', datetime(2015, 5, 10, 8, 00, 00))
case_3.set_activity('activityB', datetime(2015, 5, 10, 8, 00, 10))
case_3.set_activity('activityC', datetime(2015, 5, 10, 8, 00, 20))
case_3.set_activity('activityD', datetime(2015, 5, 10, 8, 00, 30))
return [case_3, case_2, case_1]
def test_initialize_cdesf(self, process, cases_list):
assert process.nyquist == 0
assert process.check_point_cases == 0
assert len(process.process_model_graph.edges) == 0
assert len(process.process_model_graph.nodes) == 0
assert process.cases == []
with pytest.raises(Exception):
assert initialize_graph(nx.DiGraph(), [])
case4 = Case('4')
case4.set_activity('activityA', datetime(2015, 5, 10, 8, 00, 00))
case4.set_activity('activityB', datetime(2015, 5, 10, 8, 00, 10))
case4.set_activity('activityC', datetime(2015, 5, 10, 8, 00, 20))
process.cases = cases_list
process.cases.insert(0, case4)
process.process_model_graph = initialize_graph(nx.DiGraph(), process.cases)
pmg = initialize_graph(nx.DiGraph(), cases_list)
for case in cases_list:
graph_distance, time_distance = extract_case_distances(pmg, case)
case.graph_distance = graph_distance
case.time_distance = time_distance
case_4 = process.cases[0]
process.initialize_cdesf()
graph_dist_4, time_dist_4 = extract_case_distances(pmg, case_4)
assert case_4.graph_distance == graph_dist_4
assert case_4.time_distance == time_dist_4
assert len(process.denstream.p_micro_clusters) == 1
assert process.denstream.all_cases.keys() == {'1', '4'}
new_p_mc = process.denstream.p_micro_clusters[0]
assert new_p_mc.weight == 2
assert new_p_mc.creation_time == 0
assert new_p_mc.lambda_ == 0.15
assert process.initialized
