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Python: Support numpy >=1.25.0 for SK Python versions < '3.12' (#8819)
### Motivation and Context In our pyproject.toml configuration we had different version of numpy support based on which version of Python one uses. Since Python 3.10 is supported with numpy 1.26.0, and Python 3.10 is the lowest Python version we support, we can move to support numpy 1.26.0 and further updates. <!-- Thank you for your contribution to the semantic-kernel repo! Please help reviewers and future users, providing the following information: 1. Why is this change required? 2. What problem does it solve? 3. What scenario does it contribute to? 4. If it fixes an open issue, please link to the issue here. --> ### Description This PR updates to solely use numpy 1.26.0 for all SK Python versions. It also updates the uv.lock file. - Fixes #8673 <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [X] The code builds clean without any errors or warnings - [X] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [X] All unit tests pass, and I have added new tests where possible - [X] I didn't break anyone 😄
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