1 files changed, 0 insertions, 73 deletions
diff --git a/vendor/github.com/dgryski/go-failure/failure.go b/vendor/github.com/dgryski/go-failure/failure.go
deleted file mode 100644
index df6fbf2..0000000
--- a/vendor/github.com/dgryski/go-failure/failure.go
+++ /dev/null
@@ -1,73 +0,0 @@
-// Package failure implements the Phi Accrual Failure Detector
-/*
-
-This package implements the paper "The φ Accrual Failure Detector" (2004)
-(available at http://hdl.handle.net/10119/4784).
-
-To use the failure detection algorithm, you need a heartbeat loop that will
-call Ping() at regular intervals.  At any point, you can call Phi() which will
-report how suspicious it is that a heartbeat has not been heard since the last
-time Ping() was called.
-
-*/
-package failure
-
-import (
-	"math"
-	"sync"
-	"time"
-
-	"github.com/dgryski/go-onlinestats"
-)
-
-// Detector is a failure detector
-type Detector struct {
-	w          *onlinestats.Windowed
-	last       time.Time
-	minSamples int
-	mu         sync.Mutex
-}
-
-// New returns a new failure detector that considers the last windowSize
-// samples, and ensures there are at least minSamples in the window before
-// returning an answer
-func New(windowSize, minSamples int) *Detector {
-
-	d := &Detector{
-		w:          onlinestats.NewWindowed(windowSize),
-		minSamples: minSamples,
-	}
-
-	return d
-}
-
-// Ping registers a heart-beat at time now
-func (d *Detector) Ping(now time.Time) {
-	d.mu.Lock()
-	defer d.mu.Unlock()
-	if !d.last.IsZero() {
-		d.w.Push(now.Sub(d.last).Seconds())
-	}
-	d.last = now
-}
-
-// Phi calculates the suspicion level at time 'now' that the remote end has failed
-func (d *Detector) Phi(now time.Time) float64 {
-	d.mu.Lock()
-	defer d.mu.Unlock()
-	if d.w.Len() < d.minSamples {
-		return 0
-	}
-
-	t := now.Sub(d.last).Seconds()
-	pLater := 1 - cdf(d.w.Mean(), d.w.Stddev(), t)
-	phi := -math.Log10(pLater)
-
-	return phi
-}
-
-// cdf is the cumulative distribution function of a normally distributed random
-// variable with the given mean and standard deviation
-func cdf(mean, stddev, x float64) float64 {
-	return 0.5 + 0.5*math.Erf((x-mean)/(stddev*math.Sqrt2))
-}