prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  [v0.2.0] Release Tracker
  ## Major changes
  
  * Up to 60% performance improvement by optimizing de-tokenization and sampler
  * Initial support for AWQ (performance not optimized)
  * Support for RoPE scaling and LongChat
  * Support for Mistral-7B
  
  ## PRs to be merged before the release
  
  - [x] Vectorized sampler: #1048, #820 
  - [x] LongChat: #555 
  - [x] `TORCH_CUDA_ARCH_LIST` build option: #1074 
  - [x] Support for Mistral-7B: #1196 
  - [x] #1198  
  - ~~[ ] FP32 RoPE kernel: #1061~~ (deferred to the next PR)
  
  </issue>
  <code>
  [start of vllm/__init__.py]
  1 """vLLM: a high-throughput and memory-efficient inference engine for LLMs"""
  2 
  3 from vllm.engine.arg_utils import AsyncEngineArgs, EngineArgs
  4 from vllm.engine.async_llm_engine import AsyncLLMEngine
  5 from vllm.engine.llm_engine import LLMEngine
  6 from vllm.engine.ray_utils import initialize_cluster
  7 from vllm.entrypoints.llm import LLM
  8 from vllm.outputs import CompletionOutput, RequestOutput
  9 from vllm.sampling_params import SamplingParams
  10 
  11 __version__ = "0.1.7"
  12 
  13 __all__ = [
  14     "LLM",
  15     "SamplingParams",
  16     "RequestOutput",
  17     "CompletionOutput",
  18     "LLMEngine",
  19     "EngineArgs",
  20     "AsyncLLMEngine",
  21     "AsyncEngineArgs",
  22     "initialize_cluster",
  23 ]
  24
  [end of vllm/__init__.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
golden_diff: diff --git a/vllm/__init__.py b/vllm/__init__.py
  --- a/vllm/__init__.py
  +++ b/vllm/__init__.py
  @@ -8,7 +8,7 @@
   from vllm.outputs import CompletionOutput, RequestOutput
   from vllm.sampling_params import SamplingParams
   
  -__version__ = "0.1.7"
  +__version__ = "0.2.0"
   
   __all__ = [
       "LLM",
  
verification_info: {"golden_diff": "diff --git a/vllm/__init__.py b/vllm/__init__.py\n--- a/vllm/__init__.py\n+++ b/vllm/__init__.py\n@@ -8,7 +8,7 @@\n from vllm.outputs import CompletionOutput, RequestOutput\n from vllm.sampling_params import SamplingParams\n \n-__version__ = \"0.1.7\"\n+__version__ = \"0.2.0\"\n \n __all__ = [\n     \"LLM\",\n", "issue": "[v0.2.0] Release Tracker\n## Major changes\r\n\r\n* Up to 60% performance improvement by optimizing de-tokenization and sampler\r\n* Initial support for AWQ (performance not optimized)\r\n* Support for RoPE scaling and LongChat\r\n* Support for Mistral-7B\r\n\r\n## PRs to be merged before the release\r\n\r\n- [x] Vectorized sampler: #1048, #820 \r\n- [x] LongChat: #555 \r\n- [x] `TORCH_CUDA_ARCH_LIST` build option: #1074 \r\n- [x] Support for Mistral-7B: #1196 \r\n- [x] #1198  \r\n- ~~[ ] FP32 RoPE kernel: #1061~~ (deferred to the next PR)\n", "before_files": [{"content": "\"\"\"vLLM: a high-throughput and memory-efficient inference engine for LLMs\"\"\"\n\nfrom vllm.engine.arg_utils import AsyncEngineArgs, EngineArgs\nfrom vllm.engine.async_llm_engine import AsyncLLMEngine\nfrom vllm.engine.llm_engine import LLMEngine\nfrom vllm.engine.ray_utils import initialize_cluster\nfrom vllm.entrypoints.llm import LLM\nfrom vllm.outputs import CompletionOutput, RequestOutput\nfrom vllm.sampling_params import SamplingParams\n\n__version__ = \"0.1.7\"\n\n__all__ = [\n    \"LLM\",\n    \"SamplingParams\",\n    \"RequestOutput\",\n    \"CompletionOutput\",\n    \"LLMEngine\",\n    \"EngineArgs\",\n    \"AsyncLLMEngine\",\n    \"AsyncEngineArgs\",\n    \"initialize_cluster\",\n]\n", "path": "vllm/__init__.py"}]}