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fix(phys_scene_gen): comprehensive dependency modernization for modern Python architectures (ARM64)#433

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fix(phys_scene_gen): comprehensive dependency modernization for modern Python architectures (ARM64)#433
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What type of PR is this?
/kind bug
/kind cleanup

What this PR does / why we need it:
This PR provides a comprehensive dependency modernization for the phys_scene_gen example to unblock execution on modern Python (3.13+) and ARM64 architectures (e.g., Apple Silicon).

The legacy strict pins (==) for core ML and solver libraries (gurobipy==10.0.3, dataclasses-json==0.5.14, langchain==0.0.171) forced fatal wheel-resolution cascades on modern edge-nodes, ultimately resulting in C++ compilation failures (e.g., std::ptrdiff_t namespace rejections in numpy) when pip attempted to build them from source.

By updating these to minimum viable bounds (>=), this PR allows the dependency resolver to pull pre-compiled architectural wheels, restoring the benchmark's setup capabilities without altering the underlying procedural logic.

Which issue(s) this PR fixes:
(I will link the tracking issue once this PR is created and the issue is raised).

Special notes for your reviewer:
The changes are strictly contained within examples/phys_scene_gen/singletask_learning_bench/requirements.txt to maintain isolation and prevent global framework disruptions.

@kubeedge-bot kubeedge-bot added kind/bug Categorizes issue or PR as related to a bug. kind/cleanup Categorizes issue or PR as related to cleaning up code, process, or technical debt. labels May 20, 2026
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[APPROVALNOTIFIER] This PR is NOT APPROVED

This pull-request has been approved by: CodeShrek
To complete the pull request process, please assign jaypume after the PR has been reviewed.
You can assign the PR to them by writing /assign @jaypume in a comment when ready.

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Welcome @CodeShrek! It looks like this is your first PR to kubeedge/ianvs 🎉

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1. Background
This comment provides an architectural analysis of the Pull Request aiming to restore execution capability for the phys_scene_gen benchmark on modern compute environments.

Table of Contents: Existing Pull Requests

2. Detailed Summarization for the PR

PR #433: Modernize ML & Generative stack for ARM64

  • Introduction: This PR addresses the fatal environment resolution cascade by replacing strict legacy pins (==) with minimum viable bounds (>=) for the core stack (numpy, gurobipy, dataclasses-json, langchain), unlocking compatibility with Python 3.13 and modern ARM architectures.
  • Module Details: The revision is strictly contained within examples/phys_scene_gen/singletask_learning_bench/requirements.txt. It is structurally necessary to modify the example-level manifest directly. Enforcing legacy x86 emulation layers just to accommodate one aging physics benchmark would disrupt the framework's overall developer experience.

3. Detailed Comment for the PR

  • Recommendation: I recommend this PR be merged immediately to restore usability for edge researchers running modern hardware stacks.
  • Reproduce & Analysis: I executed the isolated environment setup locally on an ARM64 macOS environment. Prior to this PR, pip is forced to fall back to building legacy numerical packages from source, which fatally crashes against Apple Clang 17 due to missing std::ptrdiff_t namespace declarations in the C-API. By updating the constraints, the dependency resolver successfully maps pre-compiled architectural wheels. This elegantly bypasses the C++ compilation trap.

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