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fix(datasets): fix dtype backend #44
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Hello @fmind, 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!
Summary of Changes
This pull request addresses an issue related to the dtype_backend in the ParquetReader class within the bikes project. The primary change involves modifying the read method of the ParquetReader to utilize the self.backend attribute instead of hardcoding pyarrow as the dtype_backend when reading a parquet file. Additionally, the pull request includes updates to the python_env.yaml and requirements.txt files, which seem to be related to dependency management and environment configuration.
Highlights
- Bug Fix: The dtype_backendinParquetReaderwas hardcoded topyarrow. This PR fixes it to useself.backend.
- Dependency Updates: The python_env.yamlandrequirements.txtfiles have been updated, likely to reflect changes in project dependencies.
Changelog
- python_env.yaml
- Added/updated dependencies in the python environment.
 
- requirements.txt
- Added/updated dependencies in the requirements file.
 
- src/bikes/io/datasets.py
- Modified the readmethod inParquetReaderto useself.backendfordtype_backendwhen reading parquet files. Line 77 was changed.
 
- Modified the 
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What is Apache Parquet's primary design goal?
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Apache Parquet is designed for efficient data storage and retrieval. It excels at columnar storage, which allows for optimized query performance, especially when dealing with large datasets.
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Code Review
The pull request updates the project to use Python 3.13, uv for package management, and just for task automation. It also updates various dependencies and configurations to align with these changes. The removal of invoke and transition to just is a significant change.
Summary of Findings
- Dependency Updates: The pull request updates several dependencies, including mlflow, numpy, pandas, and others. It's important to ensure that these updates are compatible with the existing codebase and that no regressions are introduced.
- Migration from Invoke to Just: The project migrates from PyInvoke to Just for task automation. This involves removing the invoke.yamlfile and replacing it with ajustfile. The tasks defined intasks/are also updated to use Just syntax.
- Python Version Update: The project is updated to use Python 3.13. This requires updating the .python-version,Dockerfile,.pre-commit-config.yaml, andpyproject.tomlfiles to reflect the new Python version.
Merge Readiness
The pull request introduces significant changes to the project, including updating the Python version, migrating from Invoke to Just, and updating dependencies. While the changes seem well-organized, it's crucial to thoroughly test the updated codebase to ensure compatibility and prevent regressions. Given the scope of the changes, I recommend that the pull request not be merged until sufficient testing has been performed. I am unable to approve this pull request, and users should have others review and approve this code before merging.
Fixes #39