Investigation: No failing tests found in add-two-processors branch

[Copilot]

Investigation Results

• Investigated reported test failures in arithmetic tests
• Verified all 88 tests pass in clean environment
• Identified issue as environment-specific (likely stale bytecode cache)
• Provided troubleshooting steps to user

Test Status

All tests pass successfully in a clean environment:

============================= 88 passed in 19.10s ==============================

Including the 8 arithmetic tests that were reported as failing:

• test_mean_below_threshold_basic ✓
• test_mean_below_threshold_all_above ✓
• test_mean_below_threshold_all_below ✓
• test_mean_below_threshold_with_nan_input ✓
• test_mean_below_threshold_with_nan_threshold ✓
• test_mean_below_threshold_negative_values ✓
• test_mean_below_threshold_single_element_below ✓
• test_mean_below_threshold_single_element_above ✓

Root Cause

The reported AttributeError: 'function' object has no attribute 'signature' error indicates that mean_below_threshold was not properly compiled by Numba into a GUFunc in the user's environment. This is typically caused by:

• Stale Python bytecode cache (__pycache__)
• Stale Numba JIT cache
• Incomplete or corrupted installation

Resolution

Provided user with cache clearing and reinstallation steps. The code itself is correct - mean_below_threshold is properly defined as a @guvectorize decorated function with correct signature (n),()->() and compiles successfully when the environment is clean.

Original prompt

There are test failing. Find out why and fix the code.

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[cVogl97]

@copilot When I run

pytest --cov=dspeed

or simply

pytest

I get the following report:
======================================================== short test summary info ==========================================================
FAILED tests/processors/test_arithmetic.py::test_mean_below_threshold_basic - AttributeError: 'function' object has no attribute 'signature'
FAILED tests/processors/test_arithmetic.py::test_mean_below_threshold_all_above - AttributeError: 'function' object has no attribute 'signature'
FAILED tests/processors/test_arithmetic.py::test_mean_below_threshold_all_below - AttributeError: 'function' object has no attribute 'signature'
FAILED tests/processors/test_arithmetic.py::test_mean_below_threshold_with_nan_input - AttributeError: 'function' object has no attribute 'signature'
FAILED tests/processors/test_arithmetic.py::test_mean_below_threshold_with_nan_threshold - AttributeError: 'function' object has no attribute 'signature'
FAILED tests/processors/test_arithmetic.py::test_mean_below_threshold_negative_values - AttributeError: 'function' object has no attribute 'signature'
FAILED tests/processors/test_arithmetic.py::test_mean_below_threshold_single_element_below - AttributeError: 'function' object has no attribute 'signature'
FAILED tests/processors/test_arithmetic.py::test_mean_below_threshold_single_element_above - AttributeError: 'function' object has no attribute 'signature'
====================================================== 8 failed, 80 passed in 35.79s =======================================================

[Copilot]

@copilot When I run

pytest --cov=dspeed...

I cannot reproduce this error in my environment - all 88 tests pass, including the 8 test_arithmetic.py tests. The error suggests that mean_below_threshold is not being properly compiled by Numba into a GUFunc.

Please try the following to resolve this:

1. Clear Python cache and Numba cache:

find . -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null
find . -type d -name ".numba_cache" -exec rm -rf {} + 2>/dev/null
rm -rf ~/.cache/numba

2. Reinstall the package in development mode:

pip uninstall dspeed -y
pip install -e '.[test]'

3. Run the tests again:

pytest tests/processors/test_arithmetic.py -v

If the issue persists, please provide:

• Python version (python --version)
• Numba version (python -c "import numba; print(numba.__version__)")
• NumPy version (python -c "import numpy; print(numpy.__version__)")

The function is correctly defined as a @guvectorize decorated function and should have the signature attribute when properly compiled.