initial

_run.py

@@ -555,7 +555,7 @@ class Runner:
 
             for result in generator_results:
                 if isinstance(result, Exception):
-                    self.logger.error(f"GeneratorLoop 异常: {result}")
+                    self.logger.error(f"GeneratorLoop exception: {result}")
                 else:
                     valid_results.append(result)
             self.logger.debug(
@@ -734,7 +734,6 @@ def run_one_issue(cfg, issue: str) -> dict[str, Any]:
     if not cfg.get("runner", {}).get("skip_selector", False):
         runner = Runner(cfg, ids)
         summary = asyncio.run(runner.run())
-        # 打印结果
         print("\n" + "=" * 80)
         print("total results")
         print("=" * 80)

src/managers/image_builder/__init__.py

@@ -1,4 +1,4 @@
-# 导出全部模块
+# Export all modules
 from .build_image import *
 from .dockerfiles import *
 

src/managers/image_builder/logger_patch.py

@@ -7,7 +7,6 @@ from typing import Union, Optional
 from swebench.harness.docker_utils import remove_image
 from src.managers.log.logger import Logger as CustomLogger
 
-# 导入原始的 swebench 函数
 from swebench.harness.docker_build import build_instance_image, run_threadpool
 
 
@@ -19,7 +18,7 @@ def patched_build_instance_images(
     namespace: str = None,
     tag: str = None,
     env_image_tag: str = None,
-    custom_logger: Optional[Union[logging.Logger, CustomLogger]] = None,  # 新增参数
+    custom_logger: Optional[Union[logging.Logger, CustomLogger]] = None,
 ):
     """
     Monkey patched version of build_instance_images that supports custom logger
@@ -95,7 +94,6 @@ def patched_build_instance_images(
 
 
 def apply_logger_patch():
-    """应用 logger patch"""
     import swebench.harness.docker_build as docker_build_module
 
     original_build_instance_images = docker_build_module.build_instance_images
@@ -111,7 +109,6 @@ def restore_logger_patch(original_function):
     docker_build_module.build_instance_images = original_function
 
 
-# 上下文管理器版本
 class LoggerPatch:
     """Context manager"""
     

src/managers/llm_api/__init__.py

@@ -58,14 +58,14 @@ from src.managers.llm_api.base_client import (
     Usage,
 )
 
-# 客户端实现
+
 from src.managers.llm_api.clients.openai.openai_client import OpenAIClient
 from src.managers.llm_api.clients.anthropic.anthropic_client import AnthropicClient
 from src.managers.llm_api.clients.deepseek.deepseek_client import DeepSeekClient
 from src.managers.llm_api.clients.openrouter.openrouter_client import OpenRouterClient
 from src.managers.llm_api.clients.private.private_client import PrivateModelClient
 
-# API 管理器
+
 from src.managers.llm_api.api_manager import (
     LLMAPIManager,
     create_manager,

src/managers/llm_api/api_manager.py

@@ -19,7 +19,6 @@ from .base_client import (
     EmbeddingResponse,
 )
 
-# 导入所有客户端
 from .clients.openai.openai_client import OpenAIClient
 from .clients.anthropic.anthropic_client import AnthropicClient
 from .clients.deepseek.deepseek_client import DeepSeekClient
@@ -440,7 +439,6 @@ class LLMAPIManager:
         )
 
 
-# 便捷函数
 def create_manager(
     client_name: str, stream: bool = False, logger: Optional[Any] = None, **kwargs
 ) -> LLMAPIManager:

src/managers/llm_api/base_client.py

@@ -422,7 +422,7 @@ class BaseLLMAPI(ABC):
             except Exception as e:
                 last_exception = e
                 if attempt < self.max_retries:
-                    delay = self.retry_delay * (2**attempt)  # 指数退避
+                    delay = self.retry_delay * (2**attempt)
                     if self.logger:
                         self.logger.warning(
                             f"{attempt + 1}th try failed，retry after {delay}s: {e}, traceback: {format_exc()}."

src/managers/prompts/prompts_manager.py

@@ -243,7 +243,7 @@ Terminal time out."""
             else:
                 response_parts.append("No output")
 
-            response_parts.append("")  # 空行分隔
+            response_parts.append("") 
 
         return "\n".join(response_parts)
 

src/tools/edit_tool.py

@@ -629,7 +629,7 @@ class TextEditorTool(Tool):
         file_descriptor: str,
         init_line: int = 1,
         expand_tabs: bool = True,
-        max_lines: Optional[int] = None,  # 文件最大行，如果不为None则在返回中提示
+        max_lines: Optional[int] = None, 
     ):
         """Generate output for the CLI based on the content of a file."""
         file_content = maybe_truncate(file_content)