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result;\n}\n\ntemplate \nsample_type make_random_and_bubble() {\n\tsample_type result;\n\tfor (auto& x : result)\n\t\tx = generator(mt);\n\t((void)bubble_inplace(result), ...);\n\treturn result;\n}\n\nuint64_t inversions(sample_type const& sample) {\n\tuint64_t result = 0;\n\tfor (size_t i = 0; i != std::size(sample); ++i)\n\t\tfor (size_t j = i + 1; j != std::size(sample); ++j)\n\t\t\tif (sample[i] > sample[j])\n\t\t\t\t++result;\n\treturn result;\n}\n\nconstexpr size_t samples_count = 1024 * 1024;\n\ntemplate \ndouble test(Generator generator) {\n\tuint64_t result = 0;\n\tfor (auto left = samples_count; left--!= 0; ) {\n\t\tresult += inversions(generator());\n\t}\n\treturn double(result) / samples_count;\n}\n\nint main() {\n\tstd::cout.setf(std::ios::fixed);\n\tstd::cout.precision(10);\n\tstd::cout << \"sample size: \" << sample_size << std::endl;\n\tstd::cout << \"samples: \" << samples_count << std::endl;\n\tstd::cout << \"just random: \" << test(make_random) << \" is actually \" 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