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fix: The local rearrangement model cannot be loaded#2805

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shaohuzhang1 merged 1 commit intomainfrom
pr@main@fix_reranker
Apr 7, 2025
Merged

fix: The local rearrangement model cannot be loaded#2805
shaohuzhang1 merged 1 commit intomainfrom
pr@main@fix_reranker

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fix: The local rearrangement model cannot be loaded

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f2c-ci-robot bot commented Apr 7, 2025

Adding the "do-not-merge/release-note-label-needed" label because no release-note block was detected, please follow our release note process to remove it.

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@shaohuzhang1 shaohuzhang1 merged commit 867c539 into main Apr 7, 2025
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@shaohuzhang1 shaohuzhang1 deleted the pr@main@fix_reranker branch April 7, 2025 03:22
model_kwargs: Any = {}

def __init__(self, model_name, cache_dir=None, **model_kwargs):
super().__init__()
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The code has a minor issue with incorrect typing for model_kwargs. It needs to be ClassVar rather than Any, but since they are both used interchangeably here, it doesn't cause runtime errors if you choose Any.

Here's the corrected version of the code:

@@ -72,8 +72,8 @@
         tokenizer: Any = None
         model: Optional[str] = None
         cache_dir: Optional[str] = None
-        model_kwargs: ClassVar = {} # Incorrectly defined as 'ClassVar'
+        model_kwargs: Any = {} 

If you want to ensure strict type checking by specifying dict instead of using Any, change both occurrences to `Dict[str, Any]:

class LocalBaseReranker(BaseKBBaseModel, BaseDocumentCompressor):
    tokenizer: Any = None
    model: Optional[str] = None
    cache_dir: Optional[str] = None
    model_kwargs: Dict[str, Any] = {}  # Corrected to accept only strings as keys

    def __init__(self, model_name, cache_dir=None, **model_kwargs):
        super().__init__()

Suggested Optimization:

  1. Use More Pythonic Defaults: Consider default parameters in the __init__ method where appropriate.
  2. Ensure Type Hint Consistency: Always use specific types (e.g., dict vs any) and avoid unnecessary variance (*args, **kwargs) unless really needed.

These suggestions make your code more readable and consistent, which can help maintainability over time.

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