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

benchmark/llm_judge/README.md

@@ -30,4 +30,4 @@ python3 bench_other.py --backend guidance --num-questions 25 --parallel 1 --n-ct
 
 ```
 python3 bench_other.py --backend lmql --num-questions 25 --parallel 1
-```
\ No newline at end of file
+```

benchmark/mmlu/download_data.sh

 wget https://people.eecs.berkeley.edu/~hendrycks/data.tar
-tar xf data.tar
\ No newline at end of file
+tar xf data.tar

benchmark/multi_chain_reasoning/README.md

@@ -43,7 +43,7 @@ python3 bench_other.py --num-questions 8 --backend guidance --parallel 1 --n-ctx
 ```
 
 ### Benchmark lmql
-    
+
 ```
 python3 bench_other.py --num-questions 64 --backend lmql --parallel 1
 ```

benchmark/react/README.md

@@ -31,4 +31,4 @@ python3 bench_other.py --num-questions 100 --backend guidance --parallel 1 --n-c
 
 ```
 python3 bench_other.py --num-questions 100 --backend lmql --parallel 1
-```
\ No newline at end of file
+```

benchmark/react/bench_other.py

@@ -11,7 +11,7 @@ from sglang.utils import dump_state_text, read_jsonl
 
 def get_prompt(question):
     prompt = (
-        """Solve a question answering task with interleaving Thought, Action, Observation steps. Thought can reason about the current situation, and Action can be three types: 
+        """Solve a question answering task with interleaving Thought, Action, Observation steps. Thought can reason about the current situation, and Action can be three types:
 (1) Search[entity], which searches the exact entity on Wikipedia and returns the first paragraph if it exists. If not, it will return some similar entities to search.
 (2) Lookup[keyword], which returns the next sentence containing keyword in the current passage.
 (3) Finish[answer], which returns the answer and finishes the task.
@@ -37,7 +37,7 @@ Action 1: Search[Milhouse]
 Observation 1: Milhouse Mussolini Van Houten is a recurring character in the Fox animated television series The Simpsons voiced by Pamela Hayden and created by Matt Groening.
 Thought 2: The paragraph does not tell who Milhouse is named after, maybe I can look up "named after".
 Action 2: Lookup[named after]
-Observation 2: (Result 1 / 1) Milhouse was named after U.S. president Richard Nixon, whose middle name was Milhous. 
+Observation 2: (Result 1 / 1) Milhouse was named after U.S. president Richard Nixon, whose middle name was Milhous.
 Thought 3: Milhouse was named after U.S. president Richard Nixon, so the answer is Richard Nixon.
 Action 3: Finish[Richard Nixon]
 Question: Which documentary is about Finnish rock groups, Adam Clayton Powell or The Saimaa Gesture?
@@ -62,10 +62,10 @@ Action 3: Finish[director, screenwriter, actor]
 Question: Which magazine was started first Arthur's Magazine or First for Women?
 Thought 1: I need to search Arthur's Magazine and First for Women, and find which was started first.
 Action 1: Search[Arthur's Magazine]
-Observation 1: Arthur's Magazine (1844-1846) was an American literary periodical published in Philadelphia in the 19th century. 
+Observation 1: Arthur's Magazine (1844-1846) was an American literary periodical published in Philadelphia in the 19th century.
 Thought 2: Arthur's Magazine was started in 1844. I need to search First for Women next.
 Action 2: Search[First for Women]
-Observation 2: First for Women is a woman's magazine published by Bauer Media Group in the USA.[1] The magazine was started in 1989. 
+Observation 2: First for Women is a woman's magazine published by Bauer Media Group in the USA.[1] The magazine was started in 1989.
 Thought 3: First for Women was started in 1989. 1844 (Arthur's Magazine) < 1989 (First for Women), so Arthur's Magazine was started first.
 Action 3: Finish[Arthur's Magazine]
 Question: Were Pavel Urysohn and Leonid Levin known for the same type of work?
@@ -74,8 +74,8 @@ Action 1: Search[Pavel Urysohn]
 Observation 1: Pavel Samuilovich Urysohn (February 3, 1898 â August 17, 1924) was a Soviet mathematician who is best known for his contributions in dimension theory.
 Thought 2: Pavel Urysohn is a mathematician. I need to search Leonid Levin next and find its type of work.
 Action 2: Search[Leonid Levin]
-Observation 2: Leonid Anatolievich Levin is a Soviet-American mathematician and computer scientist. 
-Thought 3: Leonid Levin is a mathematician and computer scientist. So Pavel Urysohn and Leonid Levin have the same type of work. 
+Observation 2: Leonid Anatolievich Levin is a Soviet-American mathematician and computer scientist.
+Thought 3: Leonid Levin is a mathematician and computer scientist. So Pavel Urysohn and Leonid Levin have the same type of work.
 Action 3: Finish[yes]
 """
         + question

benchmark/react/bench_sglang.py

@@ -13,7 +13,7 @@ from sglang.utils import dump_state_text, read_jsonl
 @sgl.function
 def webthink(s, question, triplets):
     s += (
-        """Solve a question answering task with interleaving Thought, Action, Observation steps. Thought can reason about the current situation, and Action can be three types: 
+        """Solve a question answering task with interleaving Thought, Action, Observation steps. Thought can reason about the current situation, and Action can be three types:
 (1) Search[entity], which searches the exact entity on Wikipedia and returns the first paragraph if it exists. If not, it will return some similar entities to search.
 (2) Lookup[keyword], which returns the next sentence containing keyword in the current passage.
 (3) Finish[answer], which returns the answer and finishes the task.
@@ -39,7 +39,7 @@ Action 1: Search[Milhouse]
 Observation 1: Milhouse Mussolini Van Houten is a recurring character in the Fox animated television series The Simpsons voiced by Pamela Hayden and created by Matt Groening.
 Thought 2: The paragraph does not tell who Milhouse is named after, maybe I can look up "named after".
 Action 2: Lookup[named after]
-Observation 2: (Result 1 / 1) Milhouse was named after U.S. president Richard Nixon, whose middle name was Milhous. 
+Observation 2: (Result 1 / 1) Milhouse was named after U.S. president Richard Nixon, whose middle name was Milhous.
 Thought 3: Milhouse was named after U.S. president Richard Nixon, so the answer is Richard Nixon.
 Action 3: Finish[Richard Nixon]
 Question: Which documentary is about Finnish rock groups, Adam Clayton Powell or The Saimaa Gesture?
@@ -64,10 +64,10 @@ Action 3: Finish[director, screenwriter, actor]
 Question: Which magazine was started first Arthur's Magazine or First for Women?
 Thought 1: I need to search Arthur's Magazine and First for Women, and find which was started first.
 Action 1: Search[Arthur's Magazine]
-Observation 1: Arthur's Magazine (1844-1846) was an American literary periodical published in Philadelphia in the 19th century. 
+Observation 1: Arthur's Magazine (1844-1846) was an American literary periodical published in Philadelphia in the 19th century.
 Thought 2: Arthur's Magazine was started in 1844. I need to search First for Women next.
 Action 2: Search[First for Women]
-Observation 2: First for Women is a woman's magazine published by Bauer Media Group in the USA.[1] The magazine was started in 1989. 
+Observation 2: First for Women is a woman's magazine published by Bauer Media Group in the USA.[1] The magazine was started in 1989.
 Thought 3: First for Women was started in 1989. 1844 (Arthur's Magazine) < 1989 (First for Women), so Arthur's Magazine was started first.
 Action 3: Finish[Arthur's Magazine]
 Question: Were Pavel Urysohn and Leonid Levin known for the same type of work?
@@ -76,8 +76,8 @@ Action 1: Search[Pavel Urysohn]
 Observation 1: Pavel Samuilovich Urysohn (February 3, 1898 â August 17, 1924) was a Soviet mathematician who is best known for his contributions in dimension theory.
 Thought 2: Pavel Urysohn is a mathematician. I need to search Leonid Levin next and find its type of work.
 Action 2: Search[Leonid Levin]
-Observation 2: Leonid Anatolievich Levin is a Soviet-American mathematician and computer scientist. 
-Thought 3: Leonid Levin is a mathematician and computer scientist. So Pavel Urysohn and Leonid Levin have the same type of work. 
+Observation 2: Leonid Anatolievich Levin is a Soviet-American mathematician and computer scientist.
+Thought 3: Leonid Levin is a mathematician and computer scientist. So Pavel Urysohn and Leonid Levin have the same type of work.
 Action 3: Finish[yes]
 """
         + question

benchmark/tip_suggestion/.gitignore

-!topic.jsonl
\ No newline at end of file
+!topic.jsonl

benchmark/tip_suggestion/README.md

@@ -30,4 +30,4 @@ python3 bench_other.py --backend guidance --num-questions 32 --parallel 1 --n-ct
 
 ```
 python3 bench_other.py --backend lmql --num-questions 32 --parallel 1
-```
\ No newline at end of file
+```

benchmark/tip_suggestion/topic.jsonl

@@ -47,4 +47,4 @@
 {"topic": "self-publishing a book", "number": 7}
 {"topic": "starting an urban farm", "number": 6}
 {"topic": "improving your memory", "number": 8}
-{"topic": "creating a personal brand online", "number": 9}
\ No newline at end of file
+{"topic": "creating a personal brand online", "number": 9}

docs/README.md

@@ -31,4 +31,4 @@ Clone [sgl-project.github.io](https://github.com/sgl-project/sgl-project.github.
 ```bash
 export DOC_SITE_PATH=../../sgl-project.github.io   # update this with your path
 python3 deploy.py
-```
\ No newline at end of file
+```

docs/_static/css/custom_log.css

@@ -5,13 +5,13 @@
 table.autosummary td {
     width: 50%
   }
-  
+
   img.align-center {
     display: block;
     margin-left: auto;
     margin-right: auto;
 }
- 
+
 .output_area.stderr {
     color: #d3d3d3 !important;
 }
@@ -26,4 +26,4 @@ div.output_area.stderr {
 
 div.output_area.stdout {
     color: #d3d3d3 !important;
-}
\ No newline at end of file
+}

docs/backend/backend.md

@@ -147,7 +147,7 @@ docker run --gpus all \
     lmsysorg/sglang:latest \
     python3 -m sglang.launch_server --model-path Qwen/Qwen2.5-7B-Instruct --host 0.0.0.0 --port 30000
 ```
-  
+
 </details>
 
 ## Example: Run Llama 3.1 405B

docs/conf.py

@@ -198,4 +198,4 @@ nbsphinx_prolog = """
             color: #d3d3d3 !important; /* light gray */
         }
     </style>
-"""
\ No newline at end of file
+"""

docs/deploy.py

-# Deploy the documents	
+# Deploy the documents
 
 import os
 from datetime import datetime
 
 
-def run_cmd(cmd):	
-    print(cmd)	
-    os.system(cmd)	
+def run_cmd(cmd):
+    print(cmd)
+    os.system(cmd)
 
 
-run_cmd("cd $DOC_SITE_PATH; git pull")	
+run_cmd("cd $DOC_SITE_PATH; git pull")
 
-# (Optional) Remove old files	
-# run_cmd("rm -rf $ALPA_SITE_PATH/*")	
+# (Optional) Remove old files
+# run_cmd("rm -rf $ALPA_SITE_PATH/*")
 
-run_cmd("cp -r _build/html/* $DOC_SITE_PATH")	
+run_cmd("cp -r _build/html/* $DOC_SITE_PATH")
 
-cmd_message = f"Update {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"	
-run_cmd(	
-    f"cd $DOC_SITE_PATH; git add .; git commit -m '{cmd_message}'; git push origin main"	
-)	
+cmd_message = f"Update {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}"
+run_cmd(
+    f"cd $DOC_SITE_PATH; git add .; git commit -m '{cmd_message}'; git push origin main"
+)

docs/references/choices_methods.md

@@ -74,4 +74,4 @@ def example(s):
             choices_method=sgl.unconditional_likelihood_normalized,
         )
     )
-```
\ No newline at end of file
+```

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
-```
\ No newline at end of file
+```

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

 # 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).
\ No newline at end of file
+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())
-```
\ No newline at end of file
+```