Replace godep with vndr
Vndr has a simpler configuration and allows pointing to forked packages. Additionally other docker projects are now using vndr making vendoring in distribution more consistent. Updates letsencrypt to use fork. No longer uses sub-vendored packages. Signed-off-by: Derek McGowan <derek@mcgstyle.net> (github: dmcgowan)
This commit is contained in:
Derek McGowan
parent
8f9abbd27f
commit
a685e3fc98
265 changed files with 30150 additions and 19449 deletions
9
vendor/github.com/yvasiyarov/go-metrics/.gitignore
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vendor/github.com/yvasiyarov/go-metrics/.gitignore
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*.[68]
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*.a
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*.out
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*.swp
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_obj
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_testmain.go
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cmd/metrics-bench/metrics-bench
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cmd/metrics-example/metrics-example
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cmd/never-read/never-read
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104
vendor/github.com/yvasiyarov/go-metrics/README.md
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vendor/github.com/yvasiyarov/go-metrics/README.md
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go-metrics
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==========
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Go port of Coda Hale's Metrics library: <https://github.com/codahale/metrics>.
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Documentation: <http://godoc.org/github.com/rcrowley/go-metrics>.
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Usage
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-----
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Create and update metrics:
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```go
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c := metrics.NewCounter()
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metrics.Register("foo", c)
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c.Inc(47)
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g := metrics.NewGauge()
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metrics.Register("bar", g)
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g.Update(47)
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s := metrics.NewExpDecaySample(1028, 0.015) // or metrics.NewUniformSample(1028)
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h := metrics.NewHistogram(s)
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metrics.Register("baz", h)
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h.Update(47)
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m := metrics.NewMeter()
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metrics.Register("quux", m)
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m.Mark(47)
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t := metrics.NewTimer()
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metrics.Register("bang", t)
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t.Time(func() {})
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t.Update(47)
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```
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Periodically log every metric in human-readable form to standard error:
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```go
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go metrics.Log(metrics.DefaultRegistry, 60e9, log.New(os.Stderr, "metrics: ", log.Lmicroseconds))
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```
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Periodically log every metric in slightly-more-parseable form to syslog:
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```go
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w, _ := syslog.Dial("unixgram", "/dev/log", syslog.LOG_INFO, "metrics")
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go metrics.Syslog(metrics.DefaultRegistry, 60e9, w)
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```
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Periodically emit every metric to Graphite:
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```go
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addr, _ := net.ResolveTCPAddr("tcp", "127.0.0.1:2003")
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go metrics.Graphite(metrics.DefaultRegistry, 10e9, "metrics", addr)
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```
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Periodically emit every metric into InfluxDB:
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```go
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import "github.com/rcrowley/go-metrics/influxdb"
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go influxdb.Influxdb(metrics.DefaultRegistry, 10e9, &influxdb.Config{
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Host: "127.0.0.1:8086",
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Database: "metrics",
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Username: "test",
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Password: "test",
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})
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```
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Periodically upload every metric to Librato:
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```go
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import "github.com/rcrowley/go-metrics/librato"
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go librato.Librato(metrics.DefaultRegistry,
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10e9, // interval
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"example@example.com", // account owner email address
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"token", // Librato API token
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"hostname", // source
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[]float64{0.95}, // precentiles to send
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time.Millisecond, // time unit
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)
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```
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Periodically emit every metric to StatHat:
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```go
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import "github.com/rcrowley/go-metrics/stathat"
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go stathat.Stathat(metrics.DefaultRegistry, 10e9, "example@example.com")
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```
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Installation
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------------
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```sh
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go get github.com/rcrowley/go-metrics
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```
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StatHat support additionally requires their Go client:
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```sh
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go get github.com/stathat/go
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```
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285
vendor/github.com/yvasiyarov/go-metrics/memory.md
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vendor/github.com/yvasiyarov/go-metrics/memory.md
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Memory usage
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============
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(Highly unscientific.)
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Command used to gather static memory usage:
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```sh
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grep ^Vm "/proc/$(ps fax | grep [m]etrics-bench | awk '{print $1}')/status"
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```
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Program used to gather baseline memory usage:
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```go
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package main
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import "time"
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func main() {
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time.Sleep(600e9)
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}
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```
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Baseline
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--------
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```
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VmPeak: 42604 kB
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VmSize: 42604 kB
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VmLck: 0 kB
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VmHWM: 1120 kB
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VmRSS: 1120 kB
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VmData: 35460 kB
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VmStk: 136 kB
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VmExe: 1020 kB
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VmLib: 1848 kB
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VmPTE: 36 kB
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VmSwap: 0 kB
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```
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Program used to gather metric memory usage (with other metrics being similar):
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```go
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package main
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import (
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"fmt"
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"metrics"
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"time"
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)
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func main() {
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fmt.Sprintf("foo")
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metrics.NewRegistry()
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time.Sleep(600e9)
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}
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```
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1000 counters registered
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------------------------
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```
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VmPeak: 44016 kB
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VmSize: 44016 kB
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VmLck: 0 kB
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VmHWM: 1928 kB
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VmRSS: 1928 kB
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VmData: 36868 kB
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VmStk: 136 kB
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VmExe: 1024 kB
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VmLib: 1848 kB
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VmPTE: 40 kB
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VmSwap: 0 kB
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```
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**1.412 kB virtual, TODO 0.808 kB resident per counter.**
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100000 counters registered
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--------------------------
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```
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VmPeak: 55024 kB
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VmSize: 55024 kB
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VmLck: 0 kB
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VmHWM: 12440 kB
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VmRSS: 12440 kB
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VmData: 47876 kB
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VmStk: 136 kB
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VmExe: 1024 kB
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VmLib: 1848 kB
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VmPTE: 64 kB
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VmSwap: 0 kB
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```
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**0.1242 kB virtual, 0.1132 kB resident per counter.**
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1000 gauges registered
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----------------------
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```
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VmPeak: 44012 kB
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VmSize: 44012 kB
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VmLck: 0 kB
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VmHWM: 1928 kB
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VmRSS: 1928 kB
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VmData: 36868 kB
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VmStk: 136 kB
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VmExe: 1020 kB
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VmLib: 1848 kB
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VmPTE: 40 kB
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VmSwap: 0 kB
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```
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**1.408 kB virtual, 0.808 kB resident per counter.**
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100000 gauges registered
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------------------------
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```
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VmPeak: 55020 kB
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VmSize: 55020 kB
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VmLck: 0 kB
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VmHWM: 12432 kB
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VmRSS: 12432 kB
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VmData: 47876 kB
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VmStk: 136 kB
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VmExe: 1020 kB
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VmLib: 1848 kB
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VmPTE: 60 kB
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VmSwap: 0 kB
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```
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**0.12416 kB virtual, 0.11312 resident per gauge.**
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1000 histograms with a uniform sample size of 1028
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--------------------------------------------------
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```
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VmPeak: 72272 kB
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VmSize: 72272 kB
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VmLck: 0 kB
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VmHWM: 16204 kB
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VmRSS: 16204 kB
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VmData: 65100 kB
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VmStk: 136 kB
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VmExe: 1048 kB
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VmLib: 1848 kB
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VmPTE: 80 kB
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VmSwap: 0 kB
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```
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**29.668 kB virtual, TODO 15.084 resident per histogram.**
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10000 histograms with a uniform sample size of 1028
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---------------------------------------------------
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```
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VmPeak: 256912 kB
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VmSize: 256912 kB
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VmLck: 0 kB
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VmHWM: 146204 kB
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VmRSS: 146204 kB
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VmData: 249740 kB
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VmStk: 136 kB
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VmExe: 1048 kB
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VmLib: 1848 kB
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VmPTE: 448 kB
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VmSwap: 0 kB
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```
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**21.4308 kB virtual, 14.5084 kB resident per histogram.**
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50000 histograms with a uniform sample size of 1028
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---------------------------------------------------
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```
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VmPeak: 908112 kB
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VmSize: 908112 kB
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VmLck: 0 kB
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VmHWM: 645832 kB
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VmRSS: 645588 kB
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VmData: 900940 kB
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VmStk: 136 kB
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VmExe: 1048 kB
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VmLib: 1848 kB
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VmPTE: 1716 kB
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VmSwap: 1544 kB
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```
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**17.31016 kB virtual, 12.88936 kB resident per histogram.**
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1000 histograms with an exponentially-decaying sample size of 1028 and alpha of 0.015
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-------------------------------------------------------------------------------------
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```
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VmPeak: 62480 kB
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VmSize: 62480 kB
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VmLck: 0 kB
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VmHWM: 11572 kB
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VmRSS: 11572 kB
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VmData: 55308 kB
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VmStk: 136 kB
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VmExe: 1048 kB
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VmLib: 1848 kB
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VmPTE: 64 kB
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VmSwap: 0 kB
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```
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**19.876 kB virtual, 10.452 kB resident per histogram.**
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10000 histograms with an exponentially-decaying sample size of 1028 and alpha of 0.015
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--------------------------------------------------------------------------------------
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```
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VmPeak: 153296 kB
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VmSize: 153296 kB
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VmLck: 0 kB
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VmHWM: 101176 kB
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VmRSS: 101176 kB
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VmData: 146124 kB
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VmStk: 136 kB
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VmExe: 1048 kB
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VmLib: 1848 kB
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VmPTE: 240 kB
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VmSwap: 0 kB
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```
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**11.0692 kB virtual, 10.0056 kB resident per histogram.**
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50000 histograms with an exponentially-decaying sample size of 1028 and alpha of 0.015
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--------------------------------------------------------------------------------------
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```
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VmPeak: 557264 kB
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VmSize: 557264 kB
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VmLck: 0 kB
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VmHWM: 501056 kB
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VmRSS: 501056 kB
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VmData: 550092 kB
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VmStk: 136 kB
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VmExe: 1048 kB
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VmLib: 1848 kB
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VmPTE: 1032 kB
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VmSwap: 0 kB
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```
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**10.2932 kB virtual, 9.99872 kB resident per histogram.**
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1000 meters
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-----------
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```
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VmPeak: 74504 kB
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VmSize: 74504 kB
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VmLck: 0 kB
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VmHWM: 24124 kB
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VmRSS: 24124 kB
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VmData: 67340 kB
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VmStk: 136 kB
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VmExe: 1040 kB
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VmLib: 1848 kB
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VmPTE: 92 kB
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VmSwap: 0 kB
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```
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**31.9 kB virtual, 23.004 kB resident per meter.**
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10000 meters
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------------
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```
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VmPeak: 278920 kB
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VmSize: 278920 kB
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VmLck: 0 kB
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VmHWM: 227300 kB
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VmRSS: 227300 kB
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VmData: 271756 kB
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VmStk: 136 kB
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VmExe: 1040 kB
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VmLib: 1848 kB
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VmPTE: 488 kB
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VmSwap: 0 kB
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```
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**23.6316 kB virtual, 22.618 kB resident per meter.**
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