trevorstephens / gplearn

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Bugfix for `argsort` ordering. (#301)

Numpy uses quicksort by default, causing unit test failure when numpy 2.0 released possibly due to internal behavior change.
We should always use stable sorting for deterministic behavior.

This change also implies `numpy>=1.15.0` to support `kind`.
Should be OK since that is from mid 2018 and the earliest supported python listed is 3.8 from late 2019.

Some intermediate results:
```
fitness = [
 0.33974567 0.81895563 0.94070405 0.52993818 0.88379917 0.77904015
 0.57553742 0.47380936 0.37427307 0.51682958 0.44839885 0.31961157
 0.61859446 0.81008902 0.92151043 0.09568099 0.94070405 0.27372766
 0.90532631 0.77971909 0.         0.35179379 0.67697571 0.75771999
 0.38116613 0.72893838 0.66027406 0.94070405 0.94070405 0.57791134
 0.81895563 0.6465814  0.61902008 0.78928374 0.77971909 0.33974567
 0.928166   0.50965352 0.72893838 0.96131336 0.63307761 0.81008902
 0.87809592 0.94070405 0.85015997 0.5519724  0.88508586 0.66670118
 0.53261073 0.88464403 0.92151043 0.94070405 0.84466016 0.92151043
 0.67346263 0.64351788 0.88046279 0.74943025 0.85015997 0.94070405
 0.92251378 0.79115731 0.322811   0.94070405 0.8047925  0.86139315
 0.88508586 0.94070405 0.69791616 0.93857883 0.89034748 0.23008709
 0.8074698  0.67242776 0.27152052 0.94070405 0.92151043 0.24725724
 0.88508586 0.8074698  0.46557846 0.70198849 0.51334045 0.53751801
 0.83399953 0.74622591 0.78625696 0.94070405 0.44174531 0.88508586
 0.57743352 0.94070405 0.28999104 0.37486687 0.84896842 0.92151043
 0.09305982 0.8074698  0.06718238 0.61554918 0.40841508 0.88382682
 0.92151043 0.90532631 0.84458929 0.07197116 0.03002106 0.89591207
 0.77971909 0.57791134 0.76741657 0.82206575 0.94070405 0.91762347
 0.86139315 0.77971909 0.37066566 0.82901212 0.94070405 0.51739491
 0.94070405 0.83795664 0.20879317 0.84058307 0.62029227 0.04250433
 0.88382682 0.64843241 0.         0.85015997 0.6218872  0.94070405
 0.53976123 0.91762347 0.08466398 0.424310... (continued)

316 of 330 branches covered (95.76%)

2 of 2 new or added lines in 1 file covered. (100.0%)

765 of 777 relevant lines covered (98.46%)

0.98 hits per line