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authorPauli <paul.dale@oracle.com>2019-05-29 09:54:29 +1000
committerPauli <paul.dale@oracle.com>2019-05-29 09:54:29 +1000
commit5d2f3e4a6c3e62677cdf3b33d8b9b08ff7d52dc7 (patch)
tree36c697b0b6bc6552ff3471e26c8c49bcf5410d9e /test/bntest.c
parentd4e2d5db621a512eff8a0ab07d3ac44d7122428a (diff)
downloadopenssl-new-5d2f3e4a6c3e62677cdf3b33d8b9b08ff7d52dc7.tar.gz
Test of uniformity of BN_rand_range output.
Rework the test so that it fails far less often. A number of independent tests are executed and 5% are expected to fail. The number of such failures follows a binomial distribution which permits a statistical test a 0.01% expected failure rate. There is a command line option to enable the stochastic range checking. It is off by default. Reviewed-by: Matt Caswell <matt@openssl.org> (Merged from https://github.com/openssl/openssl/pull/8830)
Diffstat (limited to 'test/bntest.c')
-rw-r--r--test/bntest.c84
1 files changed, 60 insertions, 24 deletions
diff --git a/test/bntest.c b/test/bntest.c
index 2043e43e27..8df6e0f34c 100644
--- a/test/bntest.c
+++ b/test/bntest.c
@@ -1956,25 +1956,27 @@ static int test_rand(void)
/*
* Run some statistical tests to provide a degree confidence that the
- * BN_rand_range() function works as expected. The critical value
- * is computed using the R statistical suite:
+ * BN_rand_range() function works as expected. The test cases and
+ * critical values are generated by the bn_rand_range script.
*
- * qchisq(alpha, df=iterations - 1)
+ * Each individual test is a Chi^2 goodness of fit for a specified number
+ * of samples and range. The samples are assumed to be independent and
+ * that they are from a discrete uniform distribution.
*
- * where alpha is the significance level (0.95 is used here) and iterations
- * is the number of samples being drawn.
+ * Some of these individual tests are expected to fail, the success/failure
+ * of each is an independent Bernoulli trial. The number of such successes
+ * will form a binomial distribution. The count of the successes is compared
+ * against a precomputed critical value to determine the overall outcome.
*/
-static const struct {
+struct rand_range_case {
unsigned int range;
unsigned int iterations;
double critical;
-} rand_range_cases[] = {
- { 2, 100, 123.2252 /* = qchisq(.95, df=99) */ },
- { 12, 1000, 1073.643 /* = qchisq(.95, df=999) */ },
- { 1023, 100000, 100735.7 /* = qchisq(.95, df=99999) */ },
};
-static int test_rand_range(int n)
+#include "bn_rand_range.h"
+
+static int test_rand_range_single(size_t n)
{
const unsigned int range = rand_range_cases[n].range;
const unsigned int iterations = rand_range_cases[n].iterations;
@@ -1998,22 +2000,20 @@ static int test_rand_range(int n)
counts[v]++;
}
- TEST_note("range %u iterations %u critical %.4f", range, iterations,
- critical);
- if (range < 20) {
- TEST_note("frequencies (expected %.2f)", expected);
- for (i = 0; i < range; i++)
- TEST_note(" %2u %6zu", i, counts[i]);
- }
for (i = 0; i < range; i++) {
const double delta = counts[i] - expected;
sum += delta * delta;
}
sum /= expected;
- TEST_note("test statistic %.4f", sum);
- if (TEST_double_lt(sum, critical))
- res = 1;
+ if (sum > critical) {
+ TEST_info("Chi^2 test negative %.4f > %4.f", sum, critical);
+ TEST_note("test case %zu range %u iterations %u", n + 1, range,
+ iterations);
+ goto err;
+ }
+
+ res = 1;
err:
BN_free(rng);
BN_free(val);
@@ -2021,6 +2021,19 @@ err:
return res;
}
+static int test_rand_range(void)
+{
+ int n_success = 0;
+ size_t i;
+
+ for (i = 0; i < OSSL_NELEM(rand_range_cases); i++)
+ n_success += test_rand_range_single(i);
+ if (TEST_int_ge(n_success, binomial_critical))
+ return 1;
+ TEST_note("This test is expeced to fail by chance 0.01%% of the time.");
+ return 0;
+}
+
static int test_negzero(void)
{
BIGNUM *a = NULL, *b = NULL, *c = NULL, *d = NULL;
@@ -2448,11 +2461,18 @@ static int run_file_tests(int i)
return c == 0;
}
+typedef enum OPTION_choice {
+ OPT_ERR = -1,
+ OPT_EOF = 0,
+ OPT_STOCHASTIC_TESTS,
+ OPT_TEST_ENUM
+} OPTION_CHOICE;
+
const OPTIONS *test_get_options(void)
{
- enum { OPT_TEST_ENUM };
static const OPTIONS test_options[] = {
OPT_TEST_OPTIONS_WITH_EXTRA_USAGE("[file...]\n"),
+ { "stochastic", OPT_STOCHASTIC_TESTS, '-', "Run stochastic tests" },
{ OPT_HELP_STR, 1, '-',
"file\tFile to run tests on. Normal tests are not run\n" },
{ NULL }
@@ -2462,7 +2482,22 @@ const OPTIONS *test_get_options(void)
int setup_tests(void)
{
- int n = test_get_argument_count();
+ OPTION_CHOICE o;
+ int n, stochastic = 0;
+
+ while ((o = opt_next()) != OPT_EOF) {
+ switch (o) {
+ case OPT_STOCHASTIC_TESTS:
+ stochastic = 1;
+ break;
+ case OPT_TEST_CASES:
+ break;
+ default:
+ case OPT_ERR:
+ return 0;
+ }
+ }
+ n = test_get_argument_count();
if (!TEST_ptr(ctx = BN_CTX_new()))
return 0;
@@ -2499,7 +2534,8 @@ int setup_tests(void)
#endif
ADD_ALL_TESTS(test_is_prime, (int)OSSL_NELEM(primes));
ADD_ALL_TESTS(test_not_prime, (int)OSSL_NELEM(not_primes));
- ADD_ALL_TESTS(test_rand_range, OSSL_NELEM(rand_range_cases));
+ if (stochastic)
+ ADD_TEST(test_rand_range);
} else {
ADD_ALL_TESTS(run_file_tests, n);
}