64 lines
1.9 KiB
Java
64 lines
1.9 KiB
Java
package io.grpc.internal;
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import com.google.common.base.Preconditions;
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import io.grpc.internal.BackoffPolicy;
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import java.util.Random;
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import java.util.concurrent.TimeUnit;
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/* loaded from: classes6.dex */
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public final class ExponentialBackoffPolicy implements BackoffPolicy {
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private Random random = new Random();
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private long initialBackoffNanos = TimeUnit.SECONDS.toNanos(1);
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private long maxBackoffNanos = TimeUnit.MINUTES.toNanos(2);
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private double multiplier = 1.6d;
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private double jitter = 0.2d;
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private long nextBackoffNanos = this.initialBackoffNanos;
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/* loaded from: classes6.dex */
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public static final class Provider implements BackoffPolicy.Provider {
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@Override // io.grpc.internal.BackoffPolicy.Provider
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public final BackoffPolicy get() {
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return new ExponentialBackoffPolicy();
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}
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}
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@Override // io.grpc.internal.BackoffPolicy
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public final long nextBackoffNanos() {
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long j = this.nextBackoffNanos;
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double d = j;
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this.nextBackoffNanos = Math.min((long) (this.multiplier * d), this.maxBackoffNanos);
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double d2 = this.jitter;
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return j + uniformRandom((-d2) * d, d2 * d);
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}
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private long uniformRandom(double d, double d2) {
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Preconditions.checkArgument(d2 >= d);
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return (long) ((this.random.nextDouble() * (d2 - d)) + d);
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}
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final ExponentialBackoffPolicy setRandom(Random random) {
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this.random = random;
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return this;
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}
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final ExponentialBackoffPolicy setMultiplier(double d) {
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this.multiplier = d;
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return this;
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}
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final ExponentialBackoffPolicy setMaxBackoffNanos(long j) {
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this.maxBackoffNanos = j;
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return this;
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}
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final ExponentialBackoffPolicy setJitter(double d) {
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this.jitter = d;
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return this;
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}
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final ExponentialBackoffPolicy setInitialBackoffNanos(long j) {
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this.initialBackoffNanos = j;
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return this;
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}
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}
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