Numpy Patch

[jan-janssen]

Summary by CodeRabbit

• Refactor
  • Improved code structure by limiting the scope of certain dependencies.

[coderabbitai]

Walkthrough

The change moves the import statement for the numpy module from the global scope to within the get_cache_data function in the executorlib/standalone/cache.py file. This confines the import to the specific function where it is required, without affecting any other parts of the code or modifying the existing logic.

Changes

File(s)	Change Summary
executorlib/standalone/cache.py	Moved the numpy import from global scope to inside get_cache_data.

Poem

In the cache where data lies,
Numpy hides from prying eyes.
Only called when there's a need,
Local imports take the lead.
Rabbits cheer with nimble grace,
For tidy code in every place! 🐇

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 96.83%. Comparing base (093d1fd) to head (5537258).
Report is 1 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #640   +/-   ##
=======================================
  Coverage   96.83%   96.83%           
=======================================
  Files          30       30           
  Lines        1294     1294           
=======================================
  Hits         1253     1253           
  Misses         41       41           

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[coderabbitai]

Actionable comments posted: 1

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 093d1fd and 5537258.

📒 Files selected for processing (1)

• executorlib/standalone/cache.py (1 hunks)

⏰ Context from checks skipped due to timeout of 90000ms (16)

• GitHub Check: unittest_mpich (macos-latest, 3.13)
• GitHub Check: unittest_openmpi (ubuntu-latest, 3.13)
• GitHub Check: unittest_openmpi (ubuntu-latest, 3.12)
• GitHub Check: unittest_openmpi (macos-latest, 3.13)
• GitHub Check: unittest_mpich (ubuntu-latest, 3.13)
• GitHub Check: notebooks
• GitHub Check: unittest_openmpi (ubuntu-latest, 3.11)
• GitHub Check: unittest_win
• GitHub Check: unittest_mpich (ubuntu-latest, 3.11)
• GitHub Check: unittest_mpich (ubuntu-latest, 3.12)
• GitHub Check: notebooks_integration
• GitHub Check: benchmark (ubuntu-latest, 3.13, .ci_support/environment-mpich.yml)
• GitHub Check: unittest_flux_mpich
• GitHub Check: unittest_flux_openmpi
• GitHub Check: unittest_old
• GitHub Check: benchmark (ubuntu-latest, 3.13, .ci_support/environment-openmpi.yml)

[coderabbitai]

⚠️ Potential issue

Ensure numpy is declared as a dependency and consider import error handling.

Moving import numpy as np into the function introduces a new runtime dependency on numpy. Make sure that:

1. numpy is listed in your packaging dependencies (e.g., install_requires in setup.py or pyproject.toml), otherwise calls to get_cache_data will break at runtime.
2. Optionally wrap the local import in a try/except ImportError to provide a clear error message if numpy isn’t installed.

Example diff for setup.py:

--- setup.py
+++ setup.py
@@ setup(
     install_requires=[
-        "cloudpickle>=1.5.0",
+        "cloudpickle>=1.5.0",
+        "numpy>=1.21.0",
     ],
 )

Example of import error handling:

    try:
        import numpy as np
    except ImportError:
        raise RuntimeError(
            "get_cache_data requires numpy; please install it via 'pip install numpy'"
        )