[pre-commit.ci] pre-commit autoupdate (#1453)

<!--pre-commit.ci start-->
updates:
- [github.com/astral-sh/ruff-pre-commit: v0.1.11 →
v0.1.13](astral-sh/ruff-pre-commit@v0.1.11...v0.1.13)
<!--pre-commit.ci end-->

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

.pre-commit-config.yaml

@@ -28,7 +28,7 @@ repos:
 
 # Python
 -   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.1.11
+    rev: v0.1.13
     hooks:
     - id: ruff
       args: ["--fix"]

dpgen/generator/arginfo.py

@@ -325,10 +325,12 @@ def model_devi_lmp_args() -> list[Argument]:
     doc_model_devi_f_trust_hi = "Upper bound of forces for the selection. If list or dict, should be set for each index in sys_configs, respectively."
     doc_model_devi_v_trust_lo = "Lower bound of virial for the selection. If list or dict, should be set for each index in sys_configs, respectively. Should be used with DeePMD-kit v2.x."
     doc_model_devi_v_trust_hi = "Upper bound of virial for the selection. If list or dict, should be set for each index in sys_configs, respectively. Should be used with DeePMD-kit v2.x."
-    doc_model_devi_adapt_trust_lo = "Adaptively determines the lower trust levels of force and virial. This option should be used together with model_devi_numb_candi_f, model_devi_numb_candi_v and optionally with model_devi_perc_candi_f and model_devi_perc_candi_v. dpgen will make two sets:\n\n\
+    doc_model_devi_adapt_trust_lo = (
+        "Adaptively determines the lower trust levels of force and virial. This option should be used together with model_devi_numb_candi_f, model_devi_numb_candi_v and optionally with model_devi_perc_candi_f and model_devi_perc_candi_v. dpgen will make two sets:\n\n\
 - 1. From the frames with force model deviation lower than model_devi_f_trust_hi, select max(model_devi_numb_candi_f, model_devi_perc_candi_f*n_frames) frames with largest force model deviation. \n\n\
 - 2. From the frames with virial model deviation lower than model_devi_v_trust_hi, select max(model_devi_numb_candi_v, model_devi_perc_candi_v*n_frames) frames with largest virial model deviation. \n\n\
 The union of the two sets is made as candidate dataset."
+    )
     doc_model_devi_numb_candi_f = "See model_devi_adapt_trust_lo."
     doc_model_devi_numb_candi_v = "See model_devi_adapt_trust_lo."
     doc_model_devi_perc_candi_f = "See model_devi_adapt_trust_lo."