chore!: update minimal R version to R4.1.0, drop magrittr's pipe re-reexport

[maelle]

Getting rid of the magrittr dependency is appealing.

[maelle]

rewritten because of the .

[maelle]

rewritten because of the .

[github-actions]

This is how benchmark results would change (along with a 95% confidence interval in relative change) if 5741ef3 is merged into rversion:

• ✔️as_adjacency_matrix: 696ms -> 698ms [-1.7%, +2.17%]
• ✔️as_biadjacency_matrix: 717ms -> 709ms [-3.72%, +1.37%]
• ✔️as_data_frame_both: 1.46ms -> 1.45ms [-2.93%, +2.58%]
• ✔️as_long_data_frame: 3.44ms -> 3.42ms [-3.25%, +2.48%]
• ✔️es_attr_filter: 2.24ms -> 2.27ms [-1.89%, +3.92%]
• ✔️graph_from_adjacency_matrix: 140ms -> 139ms [-1.56%, +0.98%]
• ✔️graph_from_data_frame: 3.23ms -> 3.19ms [-2.99%, +1.05%]
• ✔️vs_attr_filter: 1.34ms -> 1.3ms [-5.66%, +0.05%]
• ❗🐌vs_by_name: 827µs -> 858µs [+0.86%, +6.62%]
  Further explanation regarding interpretation and methodology can be found in the documentation.

[krlmlr]

Let's just drop it and see what revdepchecks suggest.

[github-actions]

This is how benchmark results would change (along with a 95% confidence interval in relative change) if 4b15fff is merged into main:

• ✔️as_adjacency_matrix: 244ms -> 243ms [-0.8%, +0.11%]
• ✔️as_biadjacency_matrix: 260ms -> 259ms [-0.89%, +0.5%]
• ✔️as_data_frame_both: 261ms -> 263ms [-0.53%, +1.66%]
• ✔️as_long_data_frame: 208ms -> 208ms [-0.52%, +0.33%]
• 🚀es_attr_filter: 244ms -> 243ms [-0.72%, -0.03%]
• 🚀graph_from_adjacency_matrix: 274ms -> 272ms [-0.72%, -0.04%]
• ✔️graph_from_data_frame: 278ms -> 278ms [-0.4%, +0.82%]
• 🚀vs_attr_filter: 331ms -> 324ms [-2.78%, -1.45%]
• 🚀vs_by_name: 312ms -> 310ms [-0.89%, -0.12%]
  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 6991c6c is merged into main:

• ✔️as_adjacency_matrix: 244ms -> 242ms [-2.52%, +0.68%]
• ✔️as_biadjacency_matrix: 254ms -> 255ms [-0.83%, +1.32%]
• ✔️as_data_frame_both: 260ms -> 262ms [-0.44%, +2.37%]
• ✔️as_long_data_frame: 207ms -> 207ms [-1.23%, +0.46%]
• ✔️es_attr_filter: 244ms -> 242ms [-1.85%, +0.11%]
• ✔️graph_from_adjacency_matrix: 271ms -> 270ms [-1.34%, +0.71%]
• ❗🐌graph_from_data_frame: 273ms -> 277ms [+0.26%, +2.93%]
• 🚀vs_attr_filter: 324ms -> 316ms [-3.27%, -1.8%]
• ✔️vs_by_name: 308ms -> 308ms [-1.73%, +2.14%]
  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 a9cbd09 is merged into main:

• ✔️as_adjacency_matrix: 242ms -> 242ms [-0.4%, +0.5%]
• ✔️as_biadjacency_matrix: 254ms -> 254ms [-0.83%, +0.47%]
• ✔️as_data_frame_both: 258ms -> 259ms [-0.13%, +0.93%]
• ✔️as_long_data_frame: 207ms -> 207ms [-0.73%, +0.27%]
• ✔️es_attr_filter: 243ms -> 243ms [-0.35%, +0.23%]
• ✔️graph_from_adjacency_matrix: 270ms -> 270ms [-0.5%, +0.16%]
• ✔️graph_from_data_frame: 274ms -> 275ms [-0.04%, +1.21%]
• 🚀vs_attr_filter: 326ms -> 316ms [-3.4%, -2.34%]
• ✔️vs_by_name: 306ms -> 305ms [-1.05%, +0.28%]
  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 b1cf6b5 is merged into main:

• ✔️as_adjacency_matrix: 260ms -> 260ms [-1.48%, +1.11%]
• ✔️as_biadjacency_matrix: 278ms -> 278ms [-1.21%, +1.59%]
• ✔️as_data_frame_both: 272ms -> 271ms [-1.42%, +0.65%]
• ✔️as_long_data_frame: 221ms -> 221ms [-1.54%, +1.5%]
• ✔️es_attr_filter: 260ms -> 255ms [-3.41%, +0.06%]
• ✔️graph_from_adjacency_matrix: 301ms -> 297ms [-3.41%, +1.17%]
• ✔️graph_from_data_frame: 291ms -> 291ms [-0.76%, +1.38%]
• 🚀vs_attr_filter: 347ms -> 336ms [-3.67%, -2.21%]
• ❗🐌vs_by_name: 322ms -> 324ms [+0.02%, +1.35%]
  Further explanation regarding interpretation and methodology can be found in the documentation.