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  /external/syzkaller/vendor/google.golang.org/grpc/internal/backoff/
backoff.go 50 // Exponential implements exponential backoff algorithm as defined in
52 type Exponential struct {
59 func (bc Exponential) Backoff(retries int) time.Duration {
  /external/tensorflow/tensorflow/python/ops/distributions/
exponential.py 15 """The Exponential distribution class."""
35 "Exponential",
40 @tf_export(v1=["distributions.Exponential"])
41 class Exponential(gamma.Gamma):
42 """Exponential distribution.
44 The Exponential distribution is parameterized by an event `rate` parameter.
57 The Exponential distribution is a special case of the Gamma distribution,
61 Exponential(rate) = Gamma(concentration=1., rate)
64 The Exponential distribution uses a `rate` parameter, or "inverse scale",
68 X ~ Exponential(rate=1
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  /external/tensorflow/tensorflow/core/lib/monitoring/
sampler.cc 102 std::unique_ptr<Buckets> Buckets::Exponential(double scale,
mobile_sampler.h 55 static std::unique_ptr<Buckets> Exponential(double scale,
  /external/webrtc/webrtc/base/
random.cc 81 double Random::Exponential(double lambda) {

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