Replace np.float with float across 3 files (removed in NumPy 1.24) - #5
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Azimml wants to merge 1 commit into
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Replace np.float with float across 3 files (removed in NumPy 1.24)#5Azimml wants to merge 1 commit into
Azimml wants to merge 1 commit into
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np.float -> float (removed in NumPy 1.24) These raise rather than warn, so they stop execution on a current environment. The replacements are exact equivalents - no behavioural or numerical change. Touches 3 file(s); all still compile.
Azimml
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Thanks for putting this code out — I've been reading through it.
On a current environment (Python 3.12, NumPy 2.x) it uses a few names that NumPy and the stdlib have since removed. These raise rather than warn, so execution stops at the first one reached.
What breaks
evaluate_bvqa_features_binary_classification.py:181np.floatevaluate_bvqa_features_binary_classification.py:187np.floatevaluate_bvqa_features_binary_classification.py:193np.floatevaluate_bvqa_features_binary_classification.py:199np.floatevaluate_bvqa_features_binary_classification.py:215np.floatevaluate_bvqa_features_binary_classification.py:257np.floatevaluate_bvqa_features_ordinal_classification.py:195np.floatevaluate_bvqa_features_ordinal_classification.py:200np.floatevaluate_bvqa_features_ordinal_classification.py:205np.floatevaluate_bvqa_features_ordinal_classification.py:225np.floatevaluate_bvqa_features_ordinal_classification.py:267np.floatevaluate_bvqa_features_regression.py:194np.floatevaluate_bvqa_features_regression.py:196np.floatevaluate_bvqa_features_regression.py:238np.floatHow I checked
I executed each of these expressions directly against NumPy 2.x to confirm it genuinely raises rather than assuming from the name, and confirmed the replacement returns the same value.
Every file this touches still compiles (
py_compile).What this PR changes
np.floatfloatnp.floatwas the builtinfloatThese are exact substitutions — no behavioural or numerical change. Only the lines listed above are touched.
Happy to rework this if you'd rather pin NumPy below 2, or if you'd prefer it split differently.