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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
});
[
all
...]
/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
);
[
all
...]
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