shouldAttempt evaluates the provided strategies with the given attempt to determine if the Retry loop should make another attempt.

Retry takes an action and performs it, repetitively, until successful. Optionally, strategies may be passed that assess whether or not an attempt sho

fallbackNewRandom returns the passed in random instance if it's not nil, and otherwise returns a new random instance seeded with the current time.

BackoffWithJitter creates a Strategy that waits before each attempt, with a duration as defined by the given backoff.Algorithm and jitter.Transformati

BinaryExponential creates a Algorithm that multiplies the factor duration by an exponentially increasing factor for each attempt, where the factor is

Exponential creates a Algorithm that multiplies the factor duration by an exponentially increasing factor for each attempt, where the factor is calcul

Fibonacci creates a Algorithm that multiplies the factor duration by an increasing factor for each attempt, where the factor is the Nth number in the

Limit creates a Strategy that limits the number of attempts that Retry will make.

Wait creates a Strategy that waits the given durations for each attempt after the first. If the number of attempts is greater than the number of durat

fibonacciNumber calculates the Fibonacci sequence number for the given sequence position.

Backoff creates a Strategy that waits before each attempt, with a duration as defined by the given backoff.Algorithm.

Deviation creates a Transformation that transforms a duration into a result duration that deviates from the input randomly by a given factor. The giv

Incremental creates a Algorithm that increments the initial duration by the given increment for each attempt.

Linear creates a Algorithm that linearly multiplies the factor duration by the attempt number for each attempt.

noJitter creates a jitter.Transformation that simply returns the input.

Delay creates a Strategy that waits the given duration before the first attempt is made.

Equal creates a Transformation that transforms a duration into a result duration in [n/2, n) randomly, where n is the given duration. The given gener

Full creates a Transformation that transforms a duration into a result duration in [0, n) randomly, where n is the given duration. The given generato

NormalDistribution creates a Transformation that transforms a duration into a result duration based on a normal distribution of the input and the give