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    Searched refs:kEpsilon (Results 1 - 11 of 11) sorted by null

  /external/protobuf/src/google/protobuf/stubs/
mathlimits.cc 66 const Type MathLimits<Type>::kEpsilon; \
101 // max(DBL_EPSILON * DBL_EPSILON, kEpsilon) rather than a multiple of kEpsilon.
111 const Type MathLimits<Type>::kEpsilon = PREFIX##_EPSILON; \
114 32 * (DBL_EPSILON * DBL_EPSILON > MathLimits<Type>::kEpsilon \
115 ? DBL_EPSILON * DBL_EPSILON : MathLimits<Type>::kEpsilon); \
mathlimits.h 93 // Smallest positive value such that Type(1) + kEpsilon != Type(1)
94 static const Type kEpsilon;
97 // Slightly larger than kEpsilon to account for a few rounding errors.
180 static const Type kEpsilon = 1; \
198 static const Type kEpsilon = 1; \
259 static const Type kEpsilon; \
  /external/skia/tests/
SkGaussFilterTest.cpp 16 static constexpr double kEpsilon = 0.000001;
44 REPORTER_ASSERT(r, std::abs(golden[i] - result[i]) < kEpsilon);
  /external/skqp/tests/
SkGaussFilterTest.cpp 16 static constexpr double kEpsilon = 0.000001;
44 REPORTER_ASSERT(r, std::abs(golden[i] - result[i]) < kEpsilon);
  /art/libartbase/base/
hash_set_test.cc 202 static constexpr double kEpsilon = 0.01;
207 EXPECT_GE(hash_set.CalculateLoadFactor() + kEpsilon, hash_set.GetMinLoadFactor());
208 EXPECT_LE(hash_set.CalculateLoadFactor() - kEpsilon, hash_set.GetMaxLoadFactor());
212 EXPECT_LE(hash_set.CalculateLoadFactor() - kEpsilon, hash_set.GetMaxLoadFactor());
214 EXPECT_LE(hash_set.CalculateLoadFactor() - kEpsilon, hash_set.GetMaxLoadFactor());
  /external/libmojo/ui/gfx/geometry/
rect_f.cc 215 static const float kEpsilon = std::numeric_limits<float>::epsilon();
216 float x = std::max(0.f, c.width() - width() - rect.width() + kEpsilon);
217 float y = std::max(0.f, c.height() - height() - rect.height() + kEpsilon);
  /external/webrtc/webrtc/common_audio/resampler/
sinc_resampler_unittest.cc 142 static const double kEpsilon = 0.00000005;
152 EXPECT_NEAR(result2, result, kEpsilon);
161 EXPECT_NEAR(result2, result, kEpsilon);
  /external/piex/src/
piex.cc 496 const float kEpsilon = 0.9f;
509 kEpsilon ||
512 kEpsilon) {
  /external/tensorflow/tensorflow/compiler/xla/tests/
batch_normalization_test.cc 184 const float kEpsilon = 1e-9f;
185 auto epsilon = builder.ConstantR0<float>(kEpsilon);
186 auto epsilon2 = builder.ConstantR1<float>({kEpsilon, kEpsilon});
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  /external/v8/src/
counters.h 427 const double kEpsilon = 1e-6;
429 if (current_ms < last_ms_ + kEpsilon) {
435 if (end_ms <= current_ms + kEpsilon) {
441 for (i = 0; i < kMaxSamples && end_ms <= current_ms + kEpsilon; i++) {
465 aggregate_value_ = current_ms > start_ms_ + kEpsilon
    [all...]
  /external/libchrome/base/metrics/
field_trial.cc 136 const double kEpsilon = 1e-8;
138 static_cast<FieldTrial::Probability>(divisor * entropy_value + kEpsilon);
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