chore: use identity() as needed

[maelle]

No description provided.

[github-actions]

This is how benchmark results would change (along with a 95% confidence interval in relative change) if a87807a is merged into rversionyounger:

• ✔️as_adjacency_matrix: 570ms -> 567ms [-3.32%, +2.09%]
• ✔️as_biadjacency_matrix: 600ms -> 597ms [-3.91%, +2.87%]
• ✔️as_data_frame_both: 1.21ms -> 1.23ms [-0.76%, +4%]
• ✔️as_long_data_frame: 3.05ms -> 2.99ms [-4.41%, +0.57%]
• ✔️es_attr_filter: 2.06ms -> 2.06ms [-2.59%, +2.63%]
• ✔️graph_from_adjacency_matrix: 125ms -> 121ms [-6.63%, +1.02%]
• ✔️graph_from_data_frame: 2.75ms -> 2.74ms [-3.66%, +2.83%]
• ✔️vs_attr_filter: 1.11ms -> 1.11ms [-2.39%, +2.29%]
• ✔️vs_by_name: 753µs -> 764µs [-1.85%, +4.69%]
  Further explanation regarding interpretation and methodology can be found in the documentation.

[krlmlr]

Agreed to stay away from that for now.

[github-actions]

This is how benchmark results would change (along with a 95% confidence interval in relative change) if 2df2808 is merged into rversionyounger:

• ✔️as_adjacency_matrix: 244ms -> 243ms [-0.87%, +0.38%]
• ✔️as_biadjacency_matrix: 256ms -> 252ms [-2.84%, +0.21%]
• ✔️as_data_frame_both: 264ms -> 264ms [-0.73%, +0.63%]
• ✔️as_long_data_frame: 211ms -> 211ms [-0.77%, +0.81%]
• ✔️es_attr_filter: 243ms -> 244ms [-0.31%, +0.65%]
• ✔️graph_from_adjacency_matrix: 273ms -> 275ms [-0.39%, +1.88%]
• ✔️graph_from_data_frame: 286ms -> 285ms [-1%, +0.72%]
• ✔️vs_attr_filter: 316ms -> 317ms [-0.14%, +0.99%]
• ✔️vs_by_name: 315ms -> 311ms [-3.73%, +1.01%]
  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 1772d96 is merged into rversionyounger:

• ✔️as_adjacency_matrix: 240ms -> 240ms [-0.67%, +0.23%]
• ✔️as_biadjacency_matrix: 256ms -> 254ms [-2.02%, +0.19%]
• ✔️as_data_frame_both: 259ms -> 259ms [-0.49%, +0.59%]
• ✔️as_long_data_frame: 207ms -> 208ms [-0.8%, +1.27%]
• ✔️es_attr_filter: 242ms -> 243ms [-1.13%, +1.49%]
• ✔️graph_from_adjacency_matrix: 269ms -> 270ms [-0.28%, +0.59%]
• 🚀graph_from_data_frame: 276ms -> 274ms [-1.1%, -0.17%]
• ✔️vs_attr_filter: 317ms -> 316ms [-1.03%, +0.25%]
• ✔️vs_by_name: 305ms -> 306ms [-0.61%, +1.41%]
  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 0289c4e is merged into rversionyounger:

• ✔️as_adjacency_matrix: 176ms -> 175ms [-0.83%, +0.14%]
• ✔️as_biadjacency_matrix: 194ms -> 196ms [-0.8%, +2.58%]
• ✔️as_data_frame_both: 199ms -> 199ms [-0.69%, +0.63%]
• ✔️as_long_data_frame: 159ms -> 159ms [-0.74%, +0.34%]
• ✔️es_attr_filter: 187ms -> 187ms [-0.61%, +0.61%]
• ✔️graph_from_adjacency_matrix: 212ms -> 213ms [-0.17%, +0.47%]
• ✔️graph_from_data_frame: 215ms -> 215ms [-1.31%, +0.97%]
• ✔️vs_attr_filter: 222ms -> 223ms [-0.21%, +0.96%]
• ✔️vs_by_name: 211ms -> 210ms [-0.84%, +0.38%]
  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 cdd22b2 is merged into rversionyounger:

• ✔️as_adjacency_matrix: 230ms -> 231ms [-1.07%, +2.09%]
• ✔️as_biadjacency_matrix: 255ms -> 256ms [-0.45%, +1.68%]
• ✔️as_data_frame_both: 257ms -> 256ms [-1.72%, +0.99%]
• ✔️as_long_data_frame: 208ms -> 209ms [-0.47%, +0.61%]
• ✔️es_attr_filter: 243ms -> 245ms [-0.06%, +1.87%]
• ✔️graph_from_adjacency_matrix: 276ms -> 274ms [-1.66%, +0.28%]
• ✔️graph_from_data_frame: 283ms -> 280ms [-2.63%, +0.69%]
• ✔️vs_attr_filter: 294ms -> 289ms [-5.14%, +1.51%]
• ✔️vs_by_name: 270ms -> 269ms [-0.68%, +0.33%]
  Further explanation regarding interpretation and methodology can be found in the documentation.