Coptr python version

[ramirobarrantes]

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[coderabbitai]

📝 Walkthrough

Walkthrough

The pull request modifies the meta.yaml file for the coptr package. Key changes include incrementing the version number from 2 to 3 in the build section. The Python version constraints have been tightened, with the host requirement changed from python >=3.7 to python >=3.7,<=3.8, and the run requirement updated similarly. Additionally, the constraints for the numpy package have been adjusted from numpy >=1.19.1 to numpy >=1.19.1,<=1.24.4. No other sections of the meta.yaml file, such as source, build, test, about, and extra, were altered.

Possibly related PRs

• Coptr fix ranges for versions of python and numpy #52019: This PR updates the coptr package's meta.yaml file to tighten the version constraints for Python and NumPy, which directly relates to the changes made in the main PR that also adjusted these constraints.

Suggested labels

please review & merge

Suggested reviewers

• martin-g

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📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between c72c575 and c4c5bb5.

📒 Files selected for processing (1)

• recipes/coptr/meta.yaml (1 hunks)

🔇 Additional comments (4)

recipes/coptr/meta.yaml (4)

17-17: LGTM: Build number increment is appropriate

The build number increment is justified as it reflects the changes in build configuration (Python and Numpy version constraints) without a source version change.

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Line range hint 13-20: LGTM: Package configuration follows best practices

The package configuration is well-structured with:

• Appropriate use of run_exports to prevent ABI breakage
• Correct noarch: python setting for a pure Python package
• Proper entry points configuration

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23-23: Verify necessity of strict Python version cap

The addition of <=3.8 as an upper bound for Python is a significant constraint that prevents usage with Python 3.9+. Please verify:

1. Is there a specific compatibility issue with Python >3.8?
2. Have you tested that the package actually fails with Python 3.9+?

If there's no concrete evidence of incompatibility, consider removing the upper bound to maintain broader compatibility.

Also applies to: 27-27

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Line range hint 28-28: Verify necessity of strict Numpy version cap

The addition of <=1.24.4 as an upper bound for Numpy is restrictive. Please:

1. Provide justification for capping the Numpy version
2. Verify if there are specific compatibility issues with newer Numpy versions

If there's no concrete evidence of incompatibility, consider removing the upper bound to allow usage with newer Numpy versions.

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[ramirobarrantes]

@BiocondaBot please add label