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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_backend
inParquetReader
was hardcoded topyarrow
. This PR fixes it to useself.backend
. - Dependency Updates: The
python_env.yaml
andrequirements.txt
files 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
read
method inParquetReader
to useself.backend
fordtype_backend
when reading parquet files. Line 77 was changed.
- Modified the
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Trivia time!
What is Apache Parquet's primary design goal?
Click here for the answer
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.yaml
file 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.toml
files 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