[tor-commits] [tor/master] prob_distr: use "clang-format off" to avoid wide lines for URLs

[nickm@xxxxxxxxxxxxxx]

commit 9feeb4cf97d98c7b8cf3c7e871b239cea835f3f4
Author: Nick Mathewson <nickm@xxxxxxxxxxxxxx>
Date:   Fri Jan 10 08:58:39 2020 -0500

    prob_distr: use "clang-format off" to avoid wide lines for URLs
---
 src/lib/math/prob_distr.c  | 8 +++++---
 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 548d25602..31d485120 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 c3d1c80d7..c5423ce14 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);
 }
 



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