build: set numpy>=1.26.4

[e06084]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @e06084, 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 updates the version constraint for the numpy package within the project's runtime requirements. By changing the dependency from a fixed version to a minimum version, the project gains more flexibility in its build environment, allowing it to utilize newer, compatible versions of numpy without requiring manual updates to the requirement file. This change helps maintain compatibility and allows for potential bug fixes or performance improvements from newer numpy releases to be automatically incorporated.

Highlights

• Dependency Update: The numpy dependency in requirements/runtime.txt has been updated from a strict equality (==1.26.4) to a minimum version requirement (>=1.26.4). This allows for greater flexibility in numpy versions while ensuring compatibility with 1.26.4 or newer.

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[gemini-code-assist]

Code Review

This pull request changes the numpy dependency from being pinned to a specific version to allowing any version greater than or equal to 1.26.4. While this adds flexibility, it creates a risk of the project breaking with future numpy releases. Specifically, the upcoming NumPy 2.0 has known breaking changes. My feedback suggests adding an upper version limit to the dependency to prevent compatibility issues while still allowing for minor updates.

[gemini-code-assist]

While loosening the version constraint for numpy provides flexibility, using an open-ended >= is risky. The upcoming NumPy 2.0 release contains significant breaking API changes that will likely break this project. It's a safer practice to specify an upper bound to prevent your project from automatically installing incompatible major versions. This will ensure stability while still allowing for patch and minor updates.

numpy>=1.26.4, <2.0