[CI] add codespell CI and fix format.sh (#827)

1. Fix format check error to make format.sh work
2. Add codespell check CI 
3. Add the missing required package for vllm-ascend.

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>

docs/source/developer_guide/versioning_policy.md

@@ -74,7 +74,7 @@ Usually, each minor version of vLLM (such as 0.7) will correspond to a vLLM Asce
 
 For main branch, vLLM Ascend should works with vLLM main branch and latest 1 or 2 release version. So to ensure the backward compatibility, we will do the following:
 - Both main branch and target vLLM release is tested by Ascend E2E CI. For example, currently, vLLM main branch and vLLM 0.8.4 are tested now.
-- For code changes, we will make sure that the changes are compatible with the latest 1 or 2 vLLM release version as well. In this case, vLLM Ascend introduced a version check machinism inner the code. It'll check the version of installed vLLM pacakge first to decide which code logic to use. If users hit the `InvalidVersion` error, it sometimes means that they have installed an dev/editable version of vLLM package. In this case, we provide the env variable `VLLM_VERSION` to let users specify the version of vLLM package to use.
+- For code changes, we will make sure that the changes are compatible with the latest 1 or 2 vLLM release version as well. In this case, vLLM Ascend introduced a version check machinism inner the code. It'll check the version of installed vLLM package first to decide which code logic to use. If users hit the `InvalidVersion` error, it sometimes means that they have installed an dev/editable version of vLLM package. In this case, we provide the env variable `VLLM_VERSION` to let users specify the version of vLLM package to use.
 - For documentation changes, we will make sure that the changes are compatible with the latest 1 or 2 vLLM release version as well. Note should be added if there are any breaking changes.
 
 ## Document Branch Policy

docs/source/faqs.md

@@ -84,7 +84,7 @@ Currently, only 1P1D is supported by vllm. For vllm-ascend, it'll be done by [th
 
 ### 10. Does vllm-ascend support quantization method?
 
-Currently, w8a8 quantization is already supported by vllm-ascend originally on v0.8.4rc2 or heigher, If you're using vllm 0.7.3 version, w8a8 quantization is supporeted with the integration of vllm-ascend and mindie-turbo, please use `pip install vllm-ascend[mindie-turbo]`.
+Currently, w8a8 quantization is already supported by vllm-ascend originally on v0.8.4rc2 or higher, If you're using vllm 0.7.3 version, w8a8 quantization is supporeted with the integration of vllm-ascend and mindie-turbo, please use `pip install vllm-ascend[mindie-turbo]`.
 
 ### 11. How to run w8a8 DeepSeek model?
 

docs/source/tutorials/multi_npu_quantization.md

@@ -2,7 +2,7 @@
 
 ## Run docker container:
 :::{note}
-w8a8 quantization feature is supported by v0.8.4rc2 or highter
+w8a8 quantization feature is supported by v0.8.4rc2 or higher
 :::
 
 ```{code-block} bash

docs/source/user_guide/release_notes.md

@@ -33,8 +33,8 @@ This is the second release candidate of v0.8.4 for vllm-ascend. Please follow th
 - DeepSeek V3/R1 works with DP, TP and MTP now. Please note that it's still in experimental status. Let us know if you hit any problem. [#429](https://github.com/vllm-project/vllm-ascend/pull/429) [#585](https://github.com/vllm-project/vllm-ascend/pull/585)  [#626](https://github.com/vllm-project/vllm-ascend/pull/626) [#636](https://github.com/vllm-project/vllm-ascend/pull/636) [#671](https://github.com/vllm-project/vllm-ascend/pull/671)
 
 ### Core
-- ACLGraph feature is supported with V1 engine now. It's disabled by default because this feature rely on CANN 8.1 release. We'll make it avaiable by default in the next release [#426](https://github.com/vllm-project/vllm-ascend/pull/426)
-- Upgrade PyTorch to 2.5.1. vLLM Ascend no longer relies on the dev version of torch-npu now. Now users don't need to install the torch-npu by hand. The 2.5.1 version of torch-npu will be installed automaticlly. [#661](https://github.com/vllm-project/vllm-ascend/pull/661)
+- ACLGraph feature is supported with V1 engine now. It's disabled by default because this feature rely on CANN 8.1 release. We'll make it available by default in the next release [#426](https://github.com/vllm-project/vllm-ascend/pull/426)
+- Upgrade PyTorch to 2.5.1. vLLM Ascend no longer relies on the dev version of torch-npu now. Now users don't need to install the torch-npu by hand. The 2.5.1 version of torch-npu will be installed automatically. [#661](https://github.com/vllm-project/vllm-ascend/pull/661)
 
 ### Other
 - MiniCPM model works now. [#645](https://github.com/vllm-project/vllm-ascend/pull/645)