Godeps, vendor: convert dependency management to trash (#3198)

This commit converts the dependency management from Godeps to the vendor
folder, also switching the tool from godep to trash. Since the upstream tool
lacks a few features proposed via a few PRs, until those PRs are merged in
(if), use github.com/karalabe/trash.

You can update dependencies via trash --update.

All dependencies have been updated to their latest version.

Parts of the build system are reworked to drop old notions of Godeps and
invocation of the go vet command so that it doesn't run against the vendor
folder, as that will just blow up during vetting.

The conversion drops OpenCL (and hence GPU mining support) from ethash and our
codebase. The short reasoning is that there's noone to maintain and having
opencl libs in our deps messes up builds as go install ./... tries to build
them, failing with unsatisfied link errors for the C OpenCL deps.

golang.org/x/net/context is not vendored in. We expect it to be fetched by the
user (i.e. using go get). To keep ci.go builds reproducible the package is
"vendored" in build/_vendor.

1 files changed, 0 insertions, 78 deletions

diff --git a/Godeps/_workspace/src/github.com/rcrowley/go-metrics/syslog.go b/Godeps/_workspace/src/github.com/rcrowley/go-metrics/syslog.go
deleted file mode 100644
index 693f19085..000000000
--- a/Godeps/_workspace/src/github.com/rcrowley/go-metrics/syslog.go
+++ /dev/null
@@ -1,78 +0,0 @@
-// +build !windows
-
-package metrics
-
-import (
-	"fmt"
-	"log/syslog"
-	"time"
-)
-
-// Output each metric in the given registry to syslog periodically using
-// the given syslogger.
-func Syslog(r Registry, d time.Duration, w *syslog.Writer) {
-	for _ = range time.Tick(d) {
-		r.Each(func(name string, i interface{}) {
-			switch metric := i.(type) {
-			case Counter:
-				w.Info(fmt.Sprintf("counter %s: count: %d", name, metric.Count()))
-			case Gauge:
-				w.Info(fmt.Sprintf("gauge %s: value: %d", name, metric.Value()))
-			case GaugeFloat64:
-				w.Info(fmt.Sprintf("gauge %s: value: %f", name, metric.Value()))
-			case Healthcheck:
-				metric.Check()
-				w.Info(fmt.Sprintf("healthcheck %s: error: %v", name, metric.Error()))
-			case Histogram:
-				h := metric.Snapshot()
-				ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
-				w.Info(fmt.Sprintf(
-					"histogram %s: count: %d min: %d max: %d mean: %.2f stddev: %.2f median: %.2f 75%%: %.2f 95%%: %.2f 99%%: %.2f 99.9%%: %.2f",
-					name,
-					h.Count(),
-					h.Min(),
-					h.Max(),
-					h.Mean(),
-					h.StdDev(),
-					ps[0],
-					ps[1],
-					ps[2],
-					ps[3],
-					ps[4],
-				))
-			case Meter:
-				m := metric.Snapshot()
-				w.Info(fmt.Sprintf(
-					"meter %s: count: %d 1-min: %.2f 5-min: %.2f 15-min: %.2f mean: %.2f",
-					name,
-					m.Count(),
-					m.Rate1(),
-					m.Rate5(),
-					m.Rate15(),
-					m.RateMean(),
-				))
-			case Timer:
-				t := metric.Snapshot()
-				ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
-				w.Info(fmt.Sprintf(
-					"timer %s: count: %d min: %d max: %d mean: %.2f stddev: %.2f median: %.2f 75%%: %.2f 95%%: %.2f 99%%: %.2f 99.9%%: %.2f 1-min: %.2f 5-min: %.2f 15-min: %.2f mean-rate: %.2f",
-					name,
-					t.Count(),
-					t.Min(),
-					t.Max(),
-					t.Mean(),
-					t.StdDev(),
-					ps[0],
-					ps[1],
-					ps[2],
-					ps[3],
-					ps[4],
-					t.Rate1(),
-					t.Rate5(),
-					t.Rate15(),
-					t.RateMean(),
-				))
-			}
-		})
-	}
-}