def test_dict_basic():
cluster_object = MaxPRegionsExact()
cluster_object.fit_from_dict(neighbors_dict, attr_dict,
spatially_extensive_attr_dict,
threshold=threshold)
obtained = region_list_from_array(cluster_object.labels_)
compare_region_lists(obtained, optimal_clustering)
def test_scipy_sparse_matrix_multi_attr():
cluster_object = MaxPRegionsExact()
cluster_object.fit_from_scipy_sparse_matrix(
adj, double_attr, double_spatially_extensive_attr,
threshold=double_threshold)
obtained = region_list_from_array(cluster_object.labels_)
compare_region_lists(obtained, optimal_clustering)
def test_graph_dict_basic():
cluster_object = MaxPRegionsExact()
cluster_object.fit_from_networkx(graph, attr_dict,
spatially_extensive_attr_dict,
threshold=threshold)
result = region_list_from_array(cluster_object.labels_)
compare_region_lists(result, optimal_clustering)
def test_geodataframe_multi_attr():
cluster_object = MaxPRegionsExact()
cluster_object.fit_from_geodataframe(gdf, [attr_str] * 2,
[spatially_extensive_attr_str] * 2,
threshold=double_threshold)
obtained = region_list_from_array(cluster_object.labels_)
compare_region_lists(obtained, optimal_clustering)
def test_geodataframe_basic():
cluster_object = MaxPRegionsExact()
cluster_object.fit_from_geodataframe(gdf, attr_str,
spatially_extensive_attr_str,
threshold=threshold)
obtained = region_list_from_array(cluster_object.labels_)
compare_region_lists(obtained, optimal_clustering)
def test_graph_dict_basic():
cluster_object = MaxPRegionsExact()
cluster_object.fit_from_networkx(
graph, attr_dict, spatially_extensive_attr_dict, threshold=threshold
)
result = region_list_from_array(cluster_object.labels_)
compare_region_lists(result, optimal_clustering)
def test_dict_basic():
cluster_object = MaxPRegionsExact()
cluster_object.fit_from_dict(
neighbors_dict, attr_dict, spatially_extensive_attr_dict, threshold=threshold
)
obtained = region_list_from_array(cluster_object.labels_)
compare_region_lists(obtained, optimal_clustering)
def test_geodataframe_basic():
cluster_object = MaxPRegionsExact()
cluster_object.fit_from_geodataframe(
gdf, attr_str, spatially_extensive_attr_str, threshold=threshold
)
obtained = region_list_from_array(cluster_object.labels_)
compare_region_lists(obtained, optimal_clustering)
def test_scipy_sparse_matrix():
cluster_object = MaxPRegionsExact()
cluster_object.fit_from_scipy_sparse_matrix(
adj, attr, spatially_extensive_attr, threshold=threshold
)
obtained = region_list_from_array(cluster_object.labels_)
compare_region_lists(obtained, optimal_clustering)
def test_w_multi_attr():
cluster_object = MaxPRegionsExact()
cluster_object.fit_from_w(
w, double_attr, double_spatially_extensive_attr, threshold=double_threshold
)
result = region_list_from_array(cluster_object.labels_)
compare_region_lists(result, optimal_clustering)
def test_geodataframe_multi_attr():
cluster_object = MaxPRegionsExact()
cluster_object.fit_from_geodataframe(gdf,
[attr_str] * 2,
[spatially_extensive_attr_str] * 2,
threshold=double_threshold)
obtained = region_list_from_array(cluster_object.labels_)
compare_region_lists(obtained, optimal_clustering)
def test_graph_str_multi_attr():
nx.set_node_attributes(graph, attr_str, attr_dict)
nx.set_node_attributes(graph, spatially_extensive_attr_str,
spatially_extensive_attr_dict)
cluster_object = MaxPRegionsExact()
cluster_object.fit_from_networkx(graph, [attr_str] * 2,
[spatially_extensive_attr_str] * 2,
threshold=double_threshold)
result = region_list_from_array(cluster_object.labels_)
compare_region_lists(result, optimal_clustering)
def test_graph_str_multi_attr():
nx.set_node_attributes(graph, attr_str, attr_dict)
nx.set_node_attributes(graph, spatially_extensive_attr_str,
spatially_extensive_attr_dict)
cluster_object = MaxPRegionsExact()
cluster_object.fit_from_networkx(graph,
[attr_str] * 2,
[spatially_extensive_attr_str] * 2,
threshold=double_threshold)
result = region_list_from_array(cluster_object.labels_)
compare_region_lists(result, optimal_clustering)
def test_w_basic():
cluster_object = MaxPRegionsExact()
cluster_object.fit_from_w(w, attr, spatially_extensive_attr,
threshold=threshold)
result = region_list_from_array(cluster_object.labels_)
compare_region_lists(result, optimal_clustering)