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| author | Nick Mathewson <nickm@torproject.org> | 2020-01-10 08:58:39 -0500 |
|---|---|---|
| committer | Nick Mathewson <nickm@torproject.org> | 2020-02-06 14:33:05 -0500 |
| commit | 9feeb4cf97d98c7b8cf3c7e871b239cea835f3f4 (patch) | |
| tree | 6dccd677f3159b96d2aa75d73fd63ed8ca73c577 /src | |
| parent | 98fdc3e41a79625a5f4b51689a7c76fed4228d00 (diff) | |
| download | tor-9feeb4cf97d98c7b8cf3c7e871b239cea835f3f4.tar.gz tor-9feeb4cf97d98c7b8cf3c7e871b239cea835f3f4.zip | |
prob_distr: use "clang-format off" to avoid wide lines for URLs
Diffstat (limited to 'src')
| -rw-r--r-- | src/lib/math/prob_distr.c | 8 | ||||
| -rw-r--r-- | src/test/test_prob_distr.c | 4 |
2 files changed, 8 insertions, 4 deletions
diff --git a/src/lib/math/prob_distr.c b/src/lib/math/prob_distr.c index 548d256023..31d485120e 100644 --- a/src/lib/math/prob_distr.c +++ b/src/lib/math/prob_distr.c @@ -1284,15 +1284,16 @@ sample_genpareto_locscale(uint32_t s, double p0, double mu, double sigma, /** * Deterministically sample from the geometric distribution with * per-trial success probability p. - * + **/ +// clang-format off +/* * XXX Quantify the error (KL divergence?) of this * ceiling-of-exponential sampler from a true geometric distribution, * which we could get by rejection sampling. Relevant papers: * * John F. Monahan, `Accuracy in Random Number Generation', * Mathematics of Computation 45(172), October 1984, pp. 559--568. -*https://pdfs.semanticscholar.org/aca6/74b96da1df77b2224e8cfc5dd6d61a471632.pdf - * +https://pdfs.semanticscholar.org/aca6/74b96da1df77b2224e8cfc5dd6d61a471632.pdf * Karl Bringmann and Tobias Friedrich, `Exact and Efficient * Generation of Geometric Random Variates and Random Graphs', in * Proceedings of the 40th International Colloaquium on Automata, @@ -1301,6 +1302,7 @@ sample_genpareto_locscale(uint32_t s, double p0, double mu, double sigma, * https://doi.org/10.1007/978-3-642-39206-1_23 * https://people.mpi-inf.mpg.de/~kbringma/paper/2013ICALP-1.pdf */ +// clang-format on static double sample_geometric(uint32_t s, double p0, double p) { diff --git a/src/test/test_prob_distr.c b/src/test/test_prob_distr.c index c3d1c80d70..c5423ce14a 100644 --- a/src/test/test_prob_distr.c +++ b/src/test/test_prob_distr.c @@ -1223,14 +1223,16 @@ test_stochastic_weibull_impl(double lambda, double k) .k = k, }; +// clang-format off /* * XXX Consider applying a Tiku-Singh test: * * M.L. Tiku and M. Singh, `Testing the two-parameter * Weibull distribution', Communications in Statistics -- * Theory and Methods A10(9), 1981, 907--918. - *https://www.tandfonline.com/doi/pdf/10.1080/03610928108828082?needAccess=true +https://www.tandfonline.com/doi/pdf/10.1080/03610928108828082?needAccess=true */ +// clang-format on return test_psi_dist_sample(&dist.base); } |