catch3/src, branch v3.5.0 Progmasoft Catch3: an independently maintained C++17 test framework with a parallel runner, property checks, snapshots and structured results. v3.5.0 2023-12-10T23:55:40+00:00 Martin Hořeňovský 2023-12-10T23:55:40+00:00 53d0d913a422d356b23dd927547febdf69ee9081 






Ensure we always read 32 bit seed from std::random_device
2023-12-10T20:37:12+00:00

Martin Hořeňovský

2023-12-10T20:37:12+00:00

b7d70ddcd609a798048f055cf8f5b6803ac06e52












Remove static instance of std::random_device in Benchmark::analyse_samples
2023-12-10T20:22:43+00:00

Martin Hořeňovský

2023-12-10T20:22:43+00:00

a6f22c51699b78116cac54a4ac95bbed710efbd4












Use our PCG32 RNG instead of mt19937 in Benchmark::analyse_samples
2023-12-10T20:18:23+00:00

Martin Hořeňovský

2023-12-10T20:18:23+00:00

1887d42e3d880414a8e9c6746810a42521b0ee90












Make it clearer that the JSON reporter is WIP
2023-12-10T20:04:56+00:00

Martin Hořeňovský

2023-12-10T20:04:56+00:00

1774dbfd53baa9af658abc71770da2702404fb63












Fix uniform_floating_point_distribution for unit ranges
2023-12-10T18:53:46+00:00

Martin Hořeňovský

2023-12-10T15:26:07+00:00

cb07ff9a7eaf586bfcd74337373192733090675d












Make the user-facing random Generators reproducible
2023-12-10T18:53:44+00:00

Martin Hořeňovský

2023-12-10T15:24:46+00:00

ae4fe16b81d819bbef8920eddf8d38a3538fe826

Thanks to the new distributions, this is almost trivial change.





Thanks to the new distributions, this is almost trivial change.







Make uniform_floating_point_distribution reproducible
2023-12-10T18:53:41+00:00

Martin Hořeňovský

2023-12-10T11:10:19+00:00

28c66fdc5a7329aaad33db611944b832564af4d3

By moving to use our `uniform_integer_distribution`, which is
reproducible across different platforms, instead of the stdlib
one which is not, we can provide reproducible results for `float`s
and `double`s. Still no reproducibility for `long double`s, because
those are too different across different platforms.





By moving to use our `uniform_integer_distribution`, which is
reproducible across different platforms, instead of the stdlib
one which is not, we can provide reproducible results for `float`s
and `double`s. Still no reproducibility for `long double`s, because
those are too different across different platforms.







Add uniform_integer_distribution
2023-12-10T18:53:39+00:00

Martin Hořeňovský

2023-12-08T21:01:36+00:00

ed9d672b5ced5647d8420f3b4d040199a3281a2b












Add helpers for implementing uniform integer distribution
2023-12-10T18:53:36+00:00

Martin Hořeňovský

2023-11-28T22:26:06+00:00

04a829b0e13401049707c7c70e95c3cc0c73ba22

* Utility for extended mult n x n bits -> 2n bits
* Utility to adapt output from URBG to target (unsigned) integral
  type
* Utility to reorder signed values into unsigned type while keeping
  the order.





* Utility for extended mult n x n bits -> 2n bits
* Utility to adapt output from URBG to target (unsigned) integral
  type
* Utility to reorder signed values into unsigned type while keeping
  the order.