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Diffstat (limited to 'abseil-cpp/absl/random/log_uniform_int_distribution_test.cc')
-rw-r--r--abseil-cpp/absl/random/log_uniform_int_distribution_test.cc21
1 files changed, 9 insertions, 12 deletions
diff --git a/abseil-cpp/absl/random/log_uniform_int_distribution_test.cc b/abseil-cpp/absl/random/log_uniform_int_distribution_test.cc
index 5e780d9..5df3eda 100644
--- a/abseil-cpp/absl/random/log_uniform_int_distribution_test.cc
+++ b/abseil-cpp/absl/random/log_uniform_int_distribution_test.cc
@@ -24,7 +24,7 @@
#include "gmock/gmock.h"
#include "gtest/gtest.h"
-#include "absl/base/internal/raw_logging.h"
+#include "absl/log/log.h"
#include "absl/random/internal/chi_square.h"
#include "absl/random/internal/distribution_test_util.h"
#include "absl/random/internal/pcg_engine.h"
@@ -42,7 +42,7 @@ class LogUniformIntDistributionTypeTest : public ::testing::Test {};
using IntTypes = ::testing::Types<int8_t, int16_t, int32_t, int64_t, //
uint8_t, uint16_t, uint32_t, uint64_t>;
-TYPED_TEST_CASE(LogUniformIntDistributionTypeTest, IntTypes);
+TYPED_TEST_SUITE(LogUniformIntDistributionTypeTest, IntTypes);
TYPED_TEST(LogUniformIntDistributionTypeTest, SerializeTest) {
using param_type =
@@ -108,8 +108,7 @@ TYPED_TEST(LogUniformIntDistributionTypeTest, SerializeTest) {
if (sample > sample_max) sample_max = sample;
if (sample < sample_min) sample_min = sample;
}
- ABSL_INTERNAL_LOG(INFO,
- absl::StrCat("Range: ", +sample_min, ", ", +sample_max));
+ LOG(INFO) << "Range: " << sample_min << ", " << sample_max;
}
}
@@ -182,16 +181,14 @@ double LogUniformIntChiSquaredTest::ChiSquaredTestImpl() {
const double p = absl::random_internal::ChiSquarePValue(chi_square, dof);
if (chi_square > threshold) {
- ABSL_INTERNAL_LOG(INFO, "values");
+ LOG(INFO) << "values";
for (size_t i = 0; i < buckets.size(); i++) {
- ABSL_INTERNAL_LOG(INFO, absl::StrCat(i, ": ", buckets[i]));
+ LOG(INFO) << i << ": " << buckets[i];
}
- ABSL_INTERNAL_LOG(INFO,
- absl::StrFormat("trials=%d\n"
- "%s(data, %d) = %f (%f)\n"
- "%s @ 0.98 = %f",
- trials, kChiSquared, dof, chi_square, p,
- kChiSquared, threshold));
+ LOG(INFO) << "trials=" << trials << "\n"
+ << kChiSquared << "(data, " << dof << ") = " << chi_square << " ("
+ << p << ")\n"
+ << kChiSquared << " @ 0.98 = " << threshold;
}
return p;
}