Findafactor

Thread partitioning ranges have been debugged in `FACTOR_FINDER`. (Defaults have also been re-tuned.)

**Full Changelog**: https://github.com/vm6502q/FindAFactor/compare/v4.7.5...v4.7.6

sha1sum results:
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24daf02ef062a1d09123607672d057feb721f1df FindAFactor-4.7.6-cp312-cp312-manylinux_2_39_x86_64.whl
8ddaceaf9d535f79c778c85ca117dd2f6d2204f2 FindAFactor-4.7.6-cp312-cp312-win_amd64.whl
a6a9a51262ef4da14d66d60a8714ec68c045d1f8 FindAFactor-4.7.6-cp313-cp313-macosx_13_0_x86_64.whl
01c9f2d06e3bd7d88c0e98ec06baef9c7db28935 FindAFactor-4.7.6-cp313-cp313-macosx_14_0_arm64.whl
a82e2fcec788ce4286de00303adff0ca6f07a91f FindAFactor-4.7.6-cp313-cp313-macosx_15_0_arm64.whl
7385c641699e201ee7ddd8d1befe3788e138a2cc FindAFactor-4.7.6-cp38-cp38-manylinux_2_31_x86_64.whl
77af799f8b3b1e748e79cb31b401af3b2652f987 findafactor-4.7.6.tar.gz

In an attempt to make statistical coverage of the smooth perfect squares more uniform, `monteCarlo()` worker method ranges have been split up per thread. The random batch numbers now also follow the convention of `getNextAltBatch()`, drawing from the low and high ends of the overall search spaced based on even or odd parity of the random batch number.

**Full Changelog**: https://github.com/vm6502q/FindAFactor/compare/v4.7.4...v4.7.5

sha1sum results:
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c8488210414b70b5b9827851722043476ecc15e0 FindAFactor-4.7.5-cp312-cp312-manylinux_2_39_x86_64.whl
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ca501d68c0d1f14a4ef5d6f4e70e34760644c727 FindAFactor-4.7.5-cp38-cp38-manylinux_2_31_x86_64.whl
2081209d8ea2542913f3aa7923ebef97016600cf findafactor-4.7.5.tar.gz

From a developer's persepective, the point of `boost::uniform_smallint<size_t>(0, max)` distribution for random number generation is more-or-less just to `% max` on a 64-bit random number generator output; it turns out to be much faster to just manually generate the 64-bit random number and `% max`.

**Full Changelog**: https://github.com/vm6502q/FindAFactor/compare/v4.7.3...v4.7.4

sha1sum results:
90c21f4d231b161c040b808dc56b1621f92ed4dc FindAFactor-4.7.4-cp310-cp310-manylinux_2_35_x86_64.whl
b68eb76d5e7f70ae7a3d572611ebd13cd6c242df FindAFactor-4.7.4-cp312-cp312-manylinux_2_39_x86_64.whl
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81a6bc7d502a80f9cecc360b5288f8455dd7817d findafactor-4.7.4.tar.gz

There doesn't seem to be performance degradation in reducing `batch_size_variance` from `4` to `3`. (This value should be as small as it can be without causing any in a wide range of test numbers to degrade significantly.)

**Full Changelog**: https://github.com/vm6502q/FindAFactor/compare/v4.7.2...v4.7.3

sha1sum results:
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11c784768367770da14ed87926853786708ec683 FindAFactor-4.7.3-cp312-cp312-manylinux_2_39_x86_64.whl
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6797af1070cb07036e059410fdcdd39f52eca515 findafactor-4.7.3.tar.gz

boost::taus88` random number generator is much faster. Unfortunately, it doesn't seem to work for our use case on Ubuntu Jammy, so note that Jammy builds still use Mersenne twister.

**Full Changelog**: https://github.com/vm6502q/FindAFactor/compare/v4.7.1...v4.7.2

sha1sum results:
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d7109675bd3df95398012b1fe93b3626eb1c9c98 FindAFactor-4.7.2-cp312-cp312-manylinux_2_39_x86_64.whl
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9019b769a3509ee7de84193dafc287c11c406e2d FindAFactor-4.7.2-cp38-cp38-manylinux_2_31_x86_64.whl
83ca14b2be3d914a533240edaf77b5792d8300d3 findafactor-4.7.2.tar.gz

Through further fine tuning, the ladder multiple shows advantage when raised to `4`, along with an appropriate batch size. The README has also been updated.

**Full Changelog**: https://github.com/vm6502q/FindAFactor/compare/v4.7.0...v4.7.1

sha1sum results:
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