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+// Copyright 2014 The Prometheus Authors
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+// Package prometheus provides embeddable metric primitives for servers and
+// standardized exposition of telemetry through a web services interface.
+//
+// All exported functions and methods are safe to be used concurrently unless
+// specified otherwise.
+//
+// To expose metrics registered with the Prometheus registry, an HTTP server
+// needs to know about the Prometheus handler. The usual endpoint is "/metrics".
+//
+// http.Handle("/metrics", prometheus.Handler())
+//
+// As a starting point a very basic usage example:
+//
+// package main
+//
+// import (
+// "net/http"
+//
+// "github.com/prometheus/client_golang/prometheus"
+// )
+//
+// var (
+// cpuTemp = prometheus.NewGauge(prometheus.GaugeOpts{
+// Name: "cpu_temperature_celsius",
+// Help: "Current temperature of the CPU.",
+// })
+// hdFailures = prometheus.NewCounter(prometheus.CounterOpts{
+// Name: "hd_errors_total",
+// Help: "Number of hard-disk errors.",
+// })
+// )
+//
+// func init() {
+// prometheus.MustRegister(cpuTemp)
+// prometheus.MustRegister(hdFailures)
+// }
+//
+// func main() {
+// cpuTemp.Set(65.3)
+// hdFailures.Inc()
+//
+// http.Handle("/metrics", prometheus.Handler())
+// http.ListenAndServe(":8080", nil)
+// }
+//
+//
+// This is a complete program that exports two metrics, a Gauge and a Counter.
+// It also exports some stats about the HTTP usage of the /metrics
+// endpoint. (See the Handler function for more detail.)
+//
+// Two more advanced metric types are the Summary and Histogram.
+//
+// In addition to the fundamental metric types Gauge, Counter, Summary, and
+// Histogram, a very important part of the Prometheus data model is the
+// partitioning of samples along dimensions called labels, which results in
+// metric vectors. The fundamental types are GaugeVec, CounterVec, SummaryVec,
+// and HistogramVec.
+//
+// Those are all the parts needed for basic usage. Detailed documentation and
+// examples are provided below.
+//
+// Everything else this package offers is essentially for "power users" only. A
+// few pointers to "power user features":
+//
+// All the various ...Opts structs have a ConstLabels field for labels that
+// never change their value (which is only useful under special circumstances,
+// see documentation of the Opts type).
+//
+// The Untyped metric behaves like a Gauge, but signals the Prometheus server
+// not to assume anything about its type.
+//
+// Functions to fine-tune how the metric registry works: EnableCollectChecks,
+// PanicOnCollectError, Register, Unregister, SetMetricFamilyInjectionHook.
+//
+// For custom metric collection, there are two entry points: Custom Metric
+// implementations and custom Collector implementations. A Metric is the
+// fundamental unit in the Prometheus data model: a sample at a point in time
+// together with its meta-data (like its fully-qualified name and any number of
+// pairs of label name and label value) that knows how to marshal itself into a
+// data transfer object (aka DTO, implemented as a protocol buffer). A Collector
+// gets registered with the Prometheus registry and manages the collection of
+// one or more Metrics. Many parts of this package are building blocks for
+// Metrics and Collectors. Desc is the metric descriptor, actually used by all
+// metrics under the hood, and by Collectors to describe the Metrics to be
+// collected, but only to be dealt with by users if they implement their own
+// Metrics or Collectors. To create a Desc, the BuildFQName function will come
+// in handy. Other useful components for Metric and Collector implementation
+// include: LabelPairSorter to sort the DTO version of label pairs,
+// NewConstMetric and MustNewConstMetric to create "throw away" Metrics at
+// collection time, MetricVec to bundle custom Metrics into a metric vector
+// Collector, SelfCollector to make a custom Metric collect itself.
+//
+// A good example for a custom Collector is the ExpVarCollector included in this
+// package, which exports variables exported via the "expvar" package as
+// Prometheus metrics.
+package prometheus