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License: GNU General Public License v3.0
Monte-Carlo but without the randomness or memory dependence.
License: GNU General Public License v3.0
ConteMarlo A "Monte-Carlo-Like" tester. https://pypi.python.org/pypi/contemarlo/ -Ryan Birmingham The concept is simple (and probably already done better): detailed Monte-Carlo but without the randomness or memory dependence. Despite the memory independence, generators default to safe mode not to flood memory. I to construct tests, so I know I don't break things. Classes: Resolver - A generator for the next distribution value pair Resolver_md - A multidimensional abstraction of Resolver Distribution - A distribution, domain [0,1]
Test a few cases.
Include fuzzing, eventually.
This may exist somewhere, but we end up with a list, like (1/2, 1/4, 3/4, 1/8, 3/8, 5/8, 7/8 ....) and we need to order it quickly so we can linspace it.
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