def test_1hop(self):
""" Test case for sample 1 hop neighbor with strategy of edge_weight.
All the src_ids have neighbors.
"""
expand_factor = 6
ids = self._seed_node1_ids
nbr_s = self.g.neighbor_sampler(self._edge1_type,
expand_factor=expand_factor,
strategy="edge_weight")
nbrs = nbr_s.get(ids)
edges = nbrs.layer_edges(1)
nodes = nbrs.layer_nodes(1)
utils.check_fixed_edge_dst_ids(edges, dst_range=self._node2_range,
expected_src_ids=ids)
utils.check_edge_type(edges,
src_type=self._node1_type,
dst_type=self._node2_type,
edge_type=self._edge1_type)
utils.check_edge_shape(edges, ids.size * expand_factor)
utils.check_edge_attrs(edges)
utils.check_edge_labels(edges)
utils.check_equal(nodes.ids, edges.dst_ids)
utils.check_node_ids(nodes, self._node2_ids)
utils.check_node_type(nodes, node_type=self._node2_type)
utils.check_node_shape(nodes, ids.size * expand_factor)
utils.check_node_weights(nodes)
utils.check_node_labels(nodes)
def test_1hop(self):
""" Sample one hop of neighbors.
"""
expand_factor = 6
ids = self._seed_node1_ids
nbr_s = self.g.neighbor_sampler(self._edge1_type,
expand_factor=expand_factor,
strategy="random")
nbrs = nbr_s.get(ids)
edges = nbrs.layer_edges(1)
nodes = nbrs.layer_nodes(1)
print(edges.src_nodes.get_out_degrees(self._edge1_type))
utils.check_fixed_edge_dst_ids(edges, dst_range=self._node2_range,
expected_src_ids=ids)
utils.check_edge_type(edges,
src_type=self._node1_type,
dst_type=self._node2_type,
edge_type=self._edge1_type)
utils.check_edge_shape(edges, ids.size * expand_factor)
utils.check_edge_attrs(edges)
utils.check_edge_labels(edges)
utils.check_equal(nodes.ids, edges.dst_ids)
utils.check_node_ids(nodes, self._node2_ids)
utils.check_node_type(nodes, node_type=self._node2_type)
utils.check_node_shape(nodes, ids.size * expand_factor)
utils.check_node_weights(nodes)
utils.check_node_labels(nodes)
def test_1hop_using_gsl(self):
""" Using gsl api.
"""
gl.set_eager_mode(True)
expand_factor = 6
ids = self._seed_node1_ids
nbrs = self.g.V(self._node1_type, feed=ids) \
.outE(self._edge1_type).sample(expand_factor).by("in_degree") \
.inV().emit()
edges = nbrs[1]
nodes = nbrs[2]
utils.check_fixed_edge_dst_ids(edges,
dst_range=self._node2_range,
expected_src_ids=ids)
utils.check_edge_type(edges,
src_type=self._node1_type,
dst_type=self._node2_type,
edge_type=self._edge1_type)
utils.check_edge_shape(edges, ids.size * expand_factor)
utils.check_edge_attrs(edges)
utils.check_edge_labels(edges)
utils.check_equal(nodes.ids, edges.dst_ids)
utils.check_node_ids(nodes, self._node2_ids)
utils.check_node_type(nodes, node_type=self._node2_type)
utils.check_node_shape(nodes, ids.size * expand_factor)
utils.check_node_weights(nodes)
utils.check_node_labels(nodes)
def test_1hop_using_gsl(self):
""" Test case for sample 1 hop neighbor.
hetegerous graph with edge attrs, without edge weight.
"""
gl.set_eager_mode(True)
expand_factor = 6
ids = self._seed_node1_ids
nbrs = self.g.V(self._node1_type, feed=ids) \
.outE(self._edge1_type).sample(expand_factor).by("edge_weight") \
.inV().emit()
edges = nbrs[1]
nodes = nbrs[2]
utils.check_fixed_edge_dst_ids(edges, dst_range=self._node2_range,
expected_src_ids=ids)
utils.check_edge_type(edges,
src_type=self._node1_type,
dst_type=self._node2_type,
edge_type=self._edge1_type)
utils.check_edge_shape(edges, ids.size * expand_factor)
utils.check_edge_attrs(edges)
utils.check_edge_labels(edges)
utils.check_equal(nodes.ids, edges.dst_ids)
utils.check_node_ids(nodes, self._node2_ids)
utils.check_node_type(nodes, node_type=self._node2_type)
utils.check_node_shape(nodes, ids.size * expand_factor)
utils.check_node_weights(nodes)
utils.check_node_labels(nodes)
def test_labeled(self):
file_path = self.gen_test_data([utils.LABELED], False)
decoder = gl.Decoder(labeled=True)
g = gl.Graph() \
.edge(source=file_path, edge_type=self.edge_tuple_, decoder=decoder)
g.init(server_id=0, server_count=1, tracker=utils.TRACKER_PATH)
edges = g.E("first").batch(self.batch_size_).emit()
utils.check_ids(edges.src_ids,
range(self.src_range_[0], self.src_range_[1]))
utils.check_ids(edges.dst_ids,
range(self.dst_range_[0], self.dst_range_[1]))
utils.check_edge_labels(edges)
def test_2hop(self):
""" Sample 2 hops of neighbors.
"""
gl.set_eager_mode(True)
expand_factor = [3, 2]
ids = self._seed_node1_ids
nbr_s = self.g.neighbor_sampler([self._edge1_type, self._edge2_type],
expand_factor=expand_factor,
strategy="in_degree")
nbrs = nbr_s.get(ids)
edges = nbrs.layer_edges(1)
nodes = nbrs.layer_nodes(1)
utils.check_fixed_edge_dst_ids(edges,
dst_range=self._node2_range,
expected_src_ids=ids)
utils.check_edge_type(edges,
src_type=self._node1_type,
dst_type=self._node2_type,
edge_type=self._edge1_type)
utils.check_edge_shape(edges, ids.size * expand_factor[0])
utils.check_edge_attrs(edges)
utils.check_edge_labels(edges)
utils.check_equal(nodes.ids, edges.dst_ids)
utils.check_node_ids(nodes, self._node2_ids)
utils.check_node_type(nodes, node_type=self._node2_type)
utils.check_node_shape(nodes, ids.size * expand_factor[0])
utils.check_node_weights(nodes)
utils.check_node_labels(nodes)
ids = nodes.ids.reshape(-1)
edges = nbrs.layer_edges(2)
nodes = nbrs.layer_nodes(2)
utils.check_fixed_edge_dst_ids(edges,
dst_range=self._node1_range,
expected_src_ids=ids)
utils.check_edge_type(edges,
src_type=self._node2_type,
dst_type=self._node1_type,
edge_type=self._edge2_type)
utils.check_edge_shape(edges, ids.size * expand_factor[1])
utils.check_edge_attrs(edges)
utils.check_edge_weights(edges)
utils.check_equal(nodes.ids, edges.dst_ids)
utils.check_node_ids(nodes, self._node1_ids)
utils.check_node_type(nodes, node_type=self._node1_type)
utils.check_node_shape(nodes, ids.size * expand_factor[1])
def test_weighted_labeled(self):
file_path = self.gen_test_data([utils.WEIGHTED, utils.LABELED], False)
decoder = gl.Decoder(weighted=True, labeled=True)
g = gl.Graph() \
.edge(source=file_path, edge_type=self.edge_tuple_, decoder=decoder)
g.init(tracker=utils.TRACKER_PATH)
edges = g.E("first").batch(self.batch_size_).emit()
utils.check_ids(edges.src_ids,
range(self.src_range_[0], self.src_range_[1]))
utils.check_ids(edges.dst_ids,
range(self.dst_range_[0], self.dst_range_[1]))
utils.check_edge_labels(edges)
utils.check_edge_weights(edges)
g.close()
def test_labeled(self):
file_path = self.gen_test_data([utils.LABELED], False)
decoder = gl.Decoder(labeled=True)
g = gl.Graph() \
.edge(source=file_path, edge_type=self.edge_tuple_, decoder=decoder)
g.init(tracker=utils.TRACKER_PATH)
query = g.E("first").batch(self.batch_size_).alias('e').values()
ds = gl.Dataset(query, window=1)
edges = ds.next()['e']
utils.check_ids(edges.src_ids,
range(self.src_range_[0], self.src_range_[1]))
utils.check_ids(edges.dst_ids,
range(self.dst_range_[0], self.dst_range_[1]))
utils.check_edge_labels(edges)
g.close()
def test_labeled_attributed(self):
gl.set_eager_mode(True)
file_path = self.gen_test_data([utils.LABELED, utils.ATTRIBUTED],
False)
decoder = gl.Decoder(labeled=True, attr_types=utils.ATTR_TYPES)
g = gl.Graph() \
.edge(source=file_path, edge_type=self.edge_tuple_, decoder=decoder)
g.init(tracker=utils.TRACKER_PATH)
edges = g.E("first").batch(self.batch_size_).emit()
utils.check_ids(edges.src_ids,
range(self.src_range_[0], self.src_range_[1]))
utils.check_ids(edges.dst_ids,
range(self.dst_range_[0], self.dst_range_[1]))
utils.check_edge_labels(edges)
utils.check_edge_attrs(edges)
g.close()
def test_weighted_labeled_attributed(self):
file_path = self.gen_test_data(
[utils.WEIGHTED, utils.LABELED, utils.ATTRIBUTED], False)
decoder = gl.Decoder(
weighted=True, labeled=True, attr_types=utils.ATTR_TYPES)
g = gl.Graph() \
.edge(source=file_path, edge_type=self.edge_tuple_, decoder=decoder)
g.init(tracker=utils.TRACKER_PATH)
query = g.E("first").batch(self.batch_size_).alias('e').values()
ds = gl.Dataset(query)
edges = ds.next()['e']
utils.check_ids(edges.src_ids,
range(self.src_range_[0], self.src_range_[1]))
utils.check_ids(edges.dst_ids,
range(self.dst_range_[0], self.dst_range_[1]))
utils.check_edge_labels(edges)
utils.check_edge_attrs(edges)
utils.check_edge_weights(edges)
g.close()
