fix for building docs on Windows #61686
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rhshadrach
requested changes
Jun 22, 2025
| # most time consuming 4 calls | ||
| %prun -l 4 df.apply(lambda x: integrate_f(x["a"], x["b"], x["N"]), axis=1) # noqa E999 | ||
| %prun -l 4 df.apply(lambda x: integrate_f(x['a'], x['b'], x['N']), axis=1) # noqa E999 |
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| .. ipython:: python | ||
| %timeit apply_integrate_f(df["a"].to_numpy(), df["b"].to_numpy(), df["N"].to_numpy()) | ||
| %timeit apply_integrate_f(df['a'].to_numpy(), df['b'].to_numpy(), df['N'].astype(int).to_numpy()) |
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Can you instead create this as a 64-bit on L53 above?
"N": np.random.randint(100, 1000, (1000), dtype="int64"),
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Thanks @Dr-Irv |
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doc\source\user_guide\enhancingperf.rst) #60149I was having two issues with building the docs on Windows.
--singlewas very slow because it was reading in lots of files. So there is a fix inconf.pythat changes any backslashes to/in the paths. Probably a better fix is to not be usingos.joinand usepathlib, but that's a larger change.doc\source\user_guide\enhancingperf.rst) #60149, there are 2 issues with buildingenhancingperf.rst:doc\source\user_guide\enhancingperf.rst) #60149 (comment) , having double quotes in the ipython strings messes up Windows, so changing them to single quotes makes it workint64dtypes, but the defaults coming fromnumpywhen building the DF areint32, so theastype(int)calls fix that