1 files changed, 0 insertions, 121 deletions
diff --git a/vendor/github.com/beorn7/perks/quantile/example_test.go b/vendor/github.com/beorn7/perks/quantile/example_test.go
deleted file mode 100644
index ab3293aaf..000000000
--- a/vendor/github.com/beorn7/perks/quantile/example_test.go
+++ /dev/null
@@ -1,121 +0,0 @@
-// +build go1.1
-
-package quantile_test
-
-import (
-	"bufio"
-	"fmt"
-	"log"
-	"os"
-	"strconv"
-	"time"
-
-	"github.com/beorn7/perks/quantile"
-)
-
-func Example_simple() {
-	ch := make(chan float64)
-	go sendFloats(ch)
-
-	// Compute the 50th, 90th, and 99th percentile.
-	q := quantile.NewTargeted(map[float64]float64{
-		0.50: 0.005,
-		0.90: 0.001,
-		0.99: 0.0001,
-	})
-	for v := range ch {
-		q.Insert(v)
-	}
-
-	fmt.Println("perc50:", q.Query(0.50))
-	fmt.Println("perc90:", q.Query(0.90))
-	fmt.Println("perc99:", q.Query(0.99))
-	fmt.Println("count:", q.Count())
-	// Output:
-	// perc50: 5
-	// perc90: 16
-	// perc99: 223
-	// count: 2388
-}
-
-func Example_mergeMultipleStreams() {
-	// Scenario:
-	// We have multiple database shards. On each shard, there is a process
-	// collecting query response times from the database logs and inserting
-	// them into a Stream (created via NewTargeted(0.90)), much like the
-	// Simple example. These processes expose a network interface for us to
-	// ask them to serialize and send us the results of their
-	// Stream.Samples so we may Merge and Query them.
-	//
-	// NOTES:
-	// * These sample sets are small, allowing us to get them
-	// across the network much faster than sending the entire list of data
-	// points.
-	//
-	// * For this to work correctly, we must supply the same quantiles
-	// a priori the process collecting the samples supplied to NewTargeted,
-	// even if we do not plan to query them all here.
-	ch := make(chan quantile.Samples)
-	getDBQuerySamples(ch)
-	q := quantile.NewTargeted(map[float64]float64{0.90: 0.001})
-	for samples := range ch {
-		q.Merge(samples)
-	}
-	fmt.Println("perc90:", q.Query(0.90))
-}
-
-func Example_window() {
-	// Scenario: We want the 90th, 95th, and 99th percentiles for each
-	// minute.
-
-	ch := make(chan float64)
-	go sendStreamValues(ch)
-
-	tick := time.NewTicker(1 * time.Minute)
-	q := quantile.NewTargeted(map[float64]float64{
-		0.90: 0.001,
-		0.95: 0.0005,
-		0.99: 0.0001,
-	})
-	for {
-		select {
-		case t := <-tick.C:
-			flushToDB(t, q.Samples())
-			q.Reset()
-		case v := <-ch:
-			q.Insert(v)
-		}
-	}
-}
-
-func sendStreamValues(ch chan float64) {
-	// Use your imagination
-}
-
-func flushToDB(t time.Time, samples quantile.Samples) {
-	// Use your imagination
-}
-
-// This is a stub for the above example. In reality this would hit the remote
-// servers via http or something like it.
-func getDBQuerySamples(ch chan quantile.Samples) {}
-
-func sendFloats(ch chan<- float64) {
-	f, err := os.Open("exampledata.txt")
-	if err != nil {
-		log.Fatal(err)
-	}
-	sc := bufio.NewScanner(f)
-	for sc.Scan() {
-		b := sc.Bytes()
-		v, err := strconv.ParseFloat(string(b), 64)
-		if err != nil {
-			log.Fatal(err)
-		}
-		ch <- v
-	}
-	if sc.Err() != nil {
-		log.Fatal(sc.Err())
-	}
-	close(ch)
-}