Fixes for numpy 1.23.0 #2137
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Fixes for numpy 1.23.0 #2137
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added 3 commits
June 23, 2022 08:50
gsheni
previously approved these changes
Jun 23, 2022
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@@ Coverage Diff @@
## main #2137 +/- ##
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Coverage 99.21% 99.21%
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Files 143 143
Lines 16833 16835 +2
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+ Hits 16701 16703 +2
Misses 132 132
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gsheni
reviewed
Jun 23, 2022
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| def get_function(self): | ||
| return np.divide | ||
| def divide_numeric(val1, val2): |
Contributor
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When primitives directly return a function, it tends to be faster. Is there no way to keep using np.divide?
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Not sure it makes a difference in this particular case - perhaps because we are using optimized approaches in both cases (numpy vs pandas)?
gsheni
approved these changes
Jun 23, 2022
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Fixes for numpy 1.23.0
Implement fixes for compatibility with numpy 1.23.0
With numpy 1.23.0 the
np.dividefunction used in theDivideNumericprimitive now generates an error with pyspark inputs.To resolve, the primitive was updated to divide the two series directly rather than using the np.divide function.
Also had to update the doctest for the
NaturalLogarithmprimitive to round primitive output to account for slightly different floating point output with the new version of numpy.