minor: Add basic editorconfig and pre-commit hooks to enforce style for whitespaces (#1926)

docs/references/choices_methods.md

@@ -74,4 +74,4 @@ def example(s):
             choices_method=sgl.unconditional_likelihood_normalized,
         )
     )
-```
+```

docs/references/custom_chat_template.md

@@ -37,4 +37,4 @@ You can also use the Jinja template format, defined by Hugging Face transformers
 
 ```
 python -m sglang.launch_server --model-path meta-llama/Llama-2-7b-chat-hf --port 30000 --chat-template ./my_model_template.jinja
-```
+```

docs/references/hyperparameter_tuning.md

@@ -25,9 +25,9 @@ If you see `decode out of memory happened` occasionally but not frequently, it i
 Data parallelism is better for throughput. When there is enough GPU memory, always favor data parallelism for throughput.
 
 ### Avoid out-of-memory by Tuning `--chunked-prefill-size`, `--mem-fraction-static`, `--max-running-requests`
-If you see out of memory (OOM) errors, you can try to tune the following parameters.  
-If OOM happens during prefill, try to decrease `--chunked-prefill-size` to `4096` or `2048`.  
-If OOM happens during decoding, try to decrease `--max-running-requests`.  
+If you see out of memory (OOM) errors, you can try to tune the following parameters.
+If OOM happens during prefill, try to decrease `--chunked-prefill-size` to `4096` or `2048`.
+If OOM happens during decoding, try to decrease `--max-running-requests`.
 You can also try to decrease `--mem-fraction-static`, which reduces the memory usage of the KV cache memory pool and helps both prefill and decoding.
 
 ### Try Advanced Options

docs/references/learn_more.md

@@ -1,3 +1,3 @@
 # Learn more
 
-You can find more blogs, slides, and videos about SGLang at [https://github.com/sgl-project/sgl-learning-materials](https://github.com/sgl-project/sgl-learning-materials).
+You can find more blogs, slides, and videos about SGLang at [https://github.com/sgl-project/sgl-learning-materials](https://github.com/sgl-project/sgl-learning-materials).

docs/references/sampling_params.md

@@ -223,4 +223,4 @@ response = requests.post(
     },
 )
 print(response.json())
-```
+```

docs/references/troubleshooting.md

@@ -3,9 +3,9 @@
 This page lists some common errors and tips for fixing them.
 
 ## CUDA out of memory
-If you see out of memory (OOM) errors, you can try to tune the following parameters.  
-If OOM happens during prefill, try to decrease `--chunked-prefill-size` to `4096` or `2048`.  
-If OOM happens during decoding, try to decrease `--max-running-requests`.  
+If you see out of memory (OOM) errors, you can try to tune the following parameters.
+If OOM happens during prefill, try to decrease `--chunked-prefill-size` to `4096` or `2048`.
+If OOM happens during decoding, try to decrease `--max-running-requests`.
 You can also try to decrease `--mem-fraction-static`, which reduces the memory usage of the KV cache memory pool and helps both prefill and decoding.
 
 ## CUDA error: an illegal memory access was encountered