[CI] optimize lint term (#5986)

### What this PR does / why we need it?
This patch purpose to optimize the lint check term. The main idea is to
reduce unnecessary installation time.
1. The installation of vllm is not must, only append the path of vllm
src to the `PATHONPATH` is effective
2. This installation of `requirements-dev.txt` is not must, we have a
pre-built image `quay.io/ascend-ci/vllm-ascend:lint` with all the
requirements installed in advance.
**NOTE**: the conditions for triggering image builds are: 1).Daily
scheduled build; 2) Build when requirements are modified; 3) Manual
build. This ensures that the dependencies in our image are up-to-date to
the greatest extent possible.
3. The `mypy` was separated from the `pre-commit` hook for performance
reasons; we found that integrating `mypy` into the `pre-commit` hook
resulted in poor performance.
4. Reduce the CPU core consumption from 16 -> 8

### Does this PR introduce _any_ user-facing change?
The end-to-end lint time was optimized from 20min/per PR to 8min/per PR
### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
2c24bc6996

---------

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

vllm_ascend/attention/attention_v1.py

@@ -46,9 +46,7 @@ from vllm_ascend.device.device_op import DeviceOperator
 from vllm_ascend.ops.flashcomm2_oshard_manager import flashcomm2_oshard_manager
 from vllm_ascend.utils import vllm_version_is, weak_ref_tensors
 
-# isort: off
 if vllm_version_is("0.13.0"):
-    from vllm.v1.attention.backends.utils import AttentionCGSupport, AttentionMetadataBuilder
     from vllm.attention.backends.abstract import (  # type: ignore
         AttentionBackend,
         AttentionImpl,
@@ -59,20 +57,21 @@ if vllm_version_is("0.13.0"):
         AttentionBackendEnum,
         register_backend,
     )
+    from vllm.v1.attention.backends.utils import AttentionCGSupport, AttentionMetadataBuilder
 else:
     from vllm.v1.attention.backend import (  # type: ignore
         AttentionBackend,
         AttentionCGSupport,
         AttentionImpl,
         AttentionLayer,
-        AttentionType,
         AttentionMetadataBuilder,
+        AttentionType,
     )
     from vllm.v1.attention.backends.registry import (  # type: ignore
         AttentionBackendEnum,
         register_backend,
     )
-# isort: on
+
 
 # default max value of sliding window size
 SWA_INT_MAX = 2147483647