[maelle]

No description provided.

[github-actions]

This is how benchmark results would change (along with a 95% confidence interval in relative change) if a7b88e2 is merged into main:

Status	Name	Current	Incoming	Interval
✔️	all_simple_paths_named	89.2ms	88.4ms	[-2.67%, +1.05%]
✔️	as_adjacency_matrix	116.2ms	114.1ms	[-5.79%, +2.13%]
✔️	as_biadjacency_matrix	135.8ms	134.9ms	[-3.74%, +2.38%]
✔️	as_data_frame_both	128.1ms	128.6ms	[-0.66%, +1.43%]
✔️	as_long_data_frame	111.3ms	112.2ms	[-1.69%, +3.33%]
✔️	degree_few_vertices	54ms	54.2ms	[-2.21%, +2.93%]
✔️	E_named	118.1ms	117ms	[-2.39%, +0.54%]
✔️	ego_order2_named	98ms	100.3ms	[-4.06%, +8.82%]
✔️	es_attr_assign	128.4ms	128.9ms	[-1.18%, +1.97%]
✔️	es_attr_filter	128.3ms	128.8ms	[-1.27%, +2.1%]
✔️	graph_from_adjacency_matrix	147.6ms	149.4ms	[-0.77%, +3.13%]
✔️	graph_from_data_frame	149.6ms	151.2ms	[-0.76%, +2.99%]
✔️	head_of_named	99.1ms	98.8ms	[-1.47%, +0.88%]
✔️	incident_edges	116.1ms	113.1ms	[-7.41%, +2.24%]
✔️	max_cliques_named	17.1ms	17ms	[-1.64%, +0.74%]
✔️	neighbors_by_name	107.6ms	107.9ms	[-0.9%, +1.51%]
✔️	union_named	135.4ms	136.4ms	[-0.13%, +1.57%]
✔️	V_named	245.2ms	244.3ms	[-1.91%, +1.17%]
✔️	vs_attr_filter	161.3ms	159.6ms	[-3.21%, +1.03%]
✔️	vs_by_name	137.6ms	137ms	[-2.05%, +1.15%]
Further explanation regarding interpretation and methodology can be found in the documentation.

[github-actions]

This is how benchmark results would change (along with a 95% confidence interval in relative change) if 2df9c96 is merged into main:

Status	Name	Current	Incoming	Interval
✔️	graph_from_data_frame	164.2ms	163.1ms	[-1.93%, +0.54%]
✔️	as_long_data_frame	121.2ms	122ms	[-2.94%, +4.33%]
✔️	as_data_frame_both	138.9ms	138.6ms	[-1.53%, +1.12%]
✔️	as_adjacency_matrix	120.6ms	121.4ms	[-2.69%, +4.02%]
✔️	graph_from_adjacency_matrix	152.7ms	151.9ms	[-1.31%, +0.28%]
✔️	as_biadjacency_matrix	136.3ms	136.5ms	[-0.65%, +1.04%]
✔️	vs_attr_filter	163.9ms	164.2ms	[-0.58%, +0.95%]
✔️	es_attr_filter	137.2ms	143.3ms	[-5.28%, +14.14%]
✔️	vs_by_name	145.7ms	145.2ms	[-2.16%, +1.52%]
✔️	es_attr_assign	134.1ms	135.9ms	[-3.1%, +5.73%]
✔️	incident_edges	123.2ms	119.6ms	[-6.58%, +0.72%]
✔️	neighbors_by_name	117.2ms	117.1ms	[-1.74%, +1.44%]
✔️	union_named	145ms	143ms	[-2.96%, +0.15%]
✔️	max_cliques_named	18ms	18.3ms	[-0.58%, +3.28%]
✔️	head_of_named	105.3ms	110.7ms	[-1.36%, +11.68%]
✔️	V_named	258.4ms	257.2ms	[-3.73%, +2.82%]
✔️	E_named	125.7ms	125.3ms	[-2.47%, +1.73%]
✔️	ego_order2_named	102.7ms	102.7ms	[-0.87%, +0.82%]
✔️	all_simple_paths_named	92.3ms	92.6ms	[-0.35%, +1.14%]
✔️	degree_few_vertices	58.9ms	57.2ms	[-9.38%, +3.81%]

Further explanation regarding interpretation and methodology can be found in the documentation.

[github-actions]

This is how benchmark results would change (along with a 95% confidence interval in relative change) if ccca29c is merged into main:

Status	Name	Current	Incoming	Interval
✔️	V_named	426.5ms	426ms	[-0.58%, +0.52%]
✔️	vs_attr_filter	323.6ms	322ms	[-0.8%, +0.09%]
✔️	vs_by_name	293.9ms	294ms	[-0.53%, +0.43%]
✔️	graph_from_data_frame	278.5ms	279ms	[-0.46%, +0.61%]
✔️	graph_from_adjacency_matrix	264.6ms	265ms	[-0.24%, +0.62%]
🚀	as_biadjacency_matrix	253.5ms	252ms	[-0.92%, -0.04%]
✔️	es_attr_filter	241.8ms	241ms	[-0.62%, +0.14%]
✔️	as_data_frame_both	239.1ms	239ms	[-0.39%, +0.58%]
✔️	neighbors_by_name	236.2ms	236ms	[-0.52%, +0.48%]
✔️	es_attr_assign	234.7ms	235ms	[-0.24%, +0.61%]
✔️	union_named	230ms	230ms	[-0.66%, +0.91%]
❗🐌	as_adjacency_matrix	220.7ms	223ms	[+0.72%, +1.59%]
✔️	E_named	211.7ms	212ms	[-0.45%, +1.11%]
✔️	as_long_data_frame	210.4ms	210ms	[-0.72%, +0.14%]
✔️	incident_edges	206.5ms	205ms	[-1.16%, +0.19%]
✔️	head_of_named	175.8ms	176ms	[-0.81%, +0.65%]
✔️	ego_order2_named	152.6ms	152ms	[-1.05%, +0.33%]
✔️	all_simple_paths_named	146.7ms	146ms	[-0.57%, +0.17%]
✔️	degree_few_vertices	122ms	122ms	[-0.36%, +1.19%]
✔️	max_cliques_named	25.9ms	26ms	[-0.21%, +0.69%]

Further explanation regarding interpretation and methodology can be found in the documentation.