[1/N][CI] Move linting system to pre-commits hooks (#1256)

### What this PR does / why we need it?

Follow vllm-project/vllm lint way:
https://github.com/vllm-project/vllm/blob/main/.pre-commit-config.yaml

Enable pre-commit to avoid some low level error  AMAP.

This pr is one step of #1241, The purpose is make linting system more
clear and convenient, on this step, Mainly did the following things:
yapf, actionlint, ruff, typos, isort, mypy, png-lint, signoff-commit,
enforce-import-regex-instead-of-re.

TODO: 
- clang-format(check for csrc with google style)
need clean code, disable for now 
- pymarkdown
need clean code, disable for now 
- shellcheck
need clean code, disable for now 

### Does this PR introduce _any_ user-facing change?

Only developer UX change:

https://vllm-ascend--1256.org.readthedocs.build/en/1256/developer_guide/contributing.html#run-lint-locally

```
pip install -r requirements-lint.txt && pre-commit install
bash format.sh
```

### How was this patch tested?

CI passed with new added/existing test.

Co-authored-by: Yikun [yikunkero@gmail.com](mailto:yikunkero@gmail.com)
Co-authored-by: wangli
[wangli858794774@gmail.com](mailto:wangli858794774@gmail.com)
- vLLM version: v0.9.1
- vLLM main:
5358cce5ff

---------

Signed-off-by: wangli <wangli858794774@gmail.com>

tests/e2e/singlecard/core/ascend_scheduler/test_ascend_scheduler.py

@@ -324,8 +324,10 @@ def test_stop_via_update_from_output():
 
     model_output = ModelRunnerOutput(
         req_ids=[req.request_id for req in requests],
-        req_id_to_index={req.request_id: i
-                         for i, req in enumerate(requests)},
+        req_id_to_index={
+            req.request_id: i
+            for i, req in enumerate(requests)
+        },
         sampled_token_ids=[[EOS_TOKEN_ID],
                            [10,
                             11]],  # First request hits EOS, second continues
@@ -374,8 +376,10 @@ def test_stop_via_update_from_output():
 
     model_output = ModelRunnerOutput(
         req_ids=[req.request_id for req in requests],
-        req_id_to_index={req.request_id: i
-                         for i, req in enumerate(requests)},
+        req_id_to_index={
+            req.request_id: i
+            for i, req in enumerate(requests)
+        },
         sampled_token_ids=[[10, 42, 12],
                            [13, 14]],  # First request hits stop token
         spec_token_ids=None,
@@ -422,8 +426,10 @@ def test_stop_via_update_from_output():
 
     model_output = ModelRunnerOutput(
         req_ids=[req.request_id for req in requests],
-        req_id_to_index={req.request_id: i
-                         for i, req in enumerate(requests)},
+        req_id_to_index={
+            req.request_id: i
+            for i, req in enumerate(requests)
+        },
         sampled_token_ids=[[10, 11, 12],
                            [13]],  # First request exceeds max_tokens
         spec_token_ids=None,

tests/e2e/singlecard/ops/test_vocabparallelembedding.py

@@ -21,8 +21,8 @@ def get_masked_input_and_mask_ref(
         added_vocab_start_index: int,
         added_vocab_end_index: int) -> Tuple[torch.Tensor, torch.Tensor]:
     """Reference implementation for verification"""
-    org_vocab_mask = (input_ >= org_vocab_start_index) & (input_ <
-                                                          org_vocab_end_index)
+    org_vocab_mask = (input_ >= org_vocab_start_index) & (
+        input_ < org_vocab_end_index)
     added_vocab_mask = (input_ >= added_vocab_start_index) & (
         input_ < added_vocab_end_index)
     added_offset = added_vocab_start_index - (

tests/e2e/singlecard/sample/test_rejection_sampler.py

@@ -394,8 +394,8 @@ def test_rejection_sampling_approximates_target_distribution():
         distance_wrt_reference)
 
     expected_improvement_multiplier = 20
-    assert (relative_change_in_distance_wrt_target >
-            relative_change_in_distance_wrt_reference *
+    assert (relative_change_in_distance_wrt_target
+            > relative_change_in_distance_wrt_reference *
             expected_improvement_multiplier)
 
 

tests/e2e/singlecard/test_scheduler.py

@@ -231,8 +231,10 @@ def test_stop_via_update_from_output():
 
     model_output = ModelRunnerOutput(
         req_ids=[req.request_id for req in requests],
-        req_id_to_index={req.request_id: i
-                         for i, req in enumerate(requests)},
+        req_id_to_index={
+            req.request_id: i
+            for i, req in enumerate(requests)
+        },
         sampled_token_ids=[[EOS_TOKEN_ID],
                            [10,
                             11]],  # First request hits EOS, second continues
@@ -279,8 +281,10 @@ def test_stop_via_update_from_output():
 
     model_output = ModelRunnerOutput(
         req_ids=[req.request_id for req in requests],
-        req_id_to_index={req.request_id: i
-                         for i, req in enumerate(requests)},
+        req_id_to_index={
+            req.request_id: i
+            for i, req in enumerate(requests)
+        },
         sampled_token_ids=[[10, 42, 12],
                            [13, 14]],  # First request hits stop token
         spec_token_ids=None,
@@ -325,8 +329,10 @@ def test_stop_via_update_from_output():
 
     model_output = ModelRunnerOutput(
         req_ids=[req.request_id for req in requests],
-        req_id_to_index={req.request_id: i
-                         for i, req in enumerate(requests)},
+        req_id_to_index={
+            req.request_id: i
+            for i, req in enumerate(requests)
+        },
         sampled_token_ids=[[10, 11, 12],
                            [13]],  # First request exceeds max_tokens
         spec_token_ids=None,