Support batched preprocessing#101
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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly enhances the data preprocessing pipeline by introducing comprehensive support for batched processing. This architectural change allows preprocessors to operate on multiple data samples concurrently, which is expected to yield substantial improvements in efficiency and performance, particularly for large-scale data operations. The update involves a fundamental redesign of the Highlights
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Code Review
This pull request introduces batched preprocessing capabilities by refactoring the __call__ method in Preprocessor and its subclasses, adding map_col_to_row and map_row_to_col static methods for efficient data handling. However, the implementation of these batching helper methods in Preprocessor is fragile and can lead to crashes or data loss when encountering inconsistent data, posing a potential Denial of Service risk. It is recommended to improve the robustness of these methods to handle empty inputs and varying row structures.
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