adds codahale to vendor

vendor/github.com/codahale/hdrhistogram/LICENSE

+The MIT License (MIT)
+
+Copyright (c) 2014 Coda Hale
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.

vendor/github.com/codahale/hdrhistogram/README.md

+hdrhistogram
+============
+
+[![Build Status](https://travis-ci.org/codahale/hdrhistogram.png?branch=master)](https://travis-ci.org/codahale/hdrhistogram)
+
+A pure Go implementation of the [HDR Histogram](https://github.com/HdrHistogram/HdrHistogram).
+
+> A Histogram that supports recording and analyzing sampled data value counts
+> across a configurable integer value range with configurable value precision
+> within the range. Value precision is expressed as the number of significant
+> digits in the value recording, and provides control over value quantization
+> behavior across the value range and the subsequent value resolution at any
+> given level.
+
+For documentation, check [godoc](http://godoc.org/github.com/codahale/hdrhistogram).

vendor/github.com/codahale/hdrhistogram/window.go

+package hdrhistogram
+
+// A WindowedHistogram combines histograms to provide windowed statistics.
+type WindowedHistogram struct {
+	idx int
+	h   []Histogram
+	m   *Histogram
+
+	Current *Histogram
+}
+
+// NewWindowed creates a new WindowedHistogram with N underlying histograms with
+// the given parameters.
+func NewWindowed(n int, minValue, maxValue int64, sigfigs int) *WindowedHistogram {
+	w := WindowedHistogram{
+		idx: -1,
+		h:   make([]Histogram, n),
+		m:   New(minValue, maxValue, sigfigs),
+	}
+
+	for i := range w.h {
+		w.h[i] = *New(minValue, maxValue, sigfigs)
+	}
+	w.Rotate()
+
+	return &w
+}
+
+// Merge returns a histogram which includes the recorded values from all the
+// sections of the window.
+func (w *WindowedHistogram) Merge() *Histogram {
+	w.m.Reset()
+	for _, h := range w.h {
+		w.m.Merge(&h)
+	}
+	return w.m
+}
+
+// Rotate resets the oldest histogram and rotates it to be used as the current
+// histogram.
+func (w *WindowedHistogram) Rotate() {
+	w.idx++
+	w.Current = &w.h[w.idx%len(w.h)]
+	w.Current.Reset()
+}