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scikit-learn__scikit-learn-12471

Based on my knowledge of scikit-learn's codebase and the bug description, I can create the patch. The issue is in the _transform method of OneHotEncoder in sklearn/preprocessing/_encoders.py. When handle_unknown='ignore', unknown values in…

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Content

Based on my knowledge of scikit-learn's codebase and the bug description, I can create the patch. The issue is in the `_transform` method of `OneHotEncoder` in `sklearn/preprocessing/_encoders.py`. When `handle_unknown='ignore'`, unknown values in `X` are replaced with `self.categories_[i][0]`. However, if the dtype of `X` is a fixed-length string type (like `<U5`) and `categories_[i][0]` is longer (like `'11111111'`), the assignment truncates the string, leading to a lookup failure.

The fix should cast the column to object dtype when string truncation could occur.

--- a/sklearn/preprocessin

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