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-// Copyright 2017, OpenCensus 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 stats contains support for OpenCensus stats recording.
-
-OpenCensus allows users to create typed measures, record measurements,
-aggregate the collected data, and export the aggregated data.
-
-# Measures
-
-A measure represents a type of data point to be tracked and recorded.
-For example, latency, request Mb/s, and response Mb/s are measures
-to collect from a server.
-
-Measure constructors such as Int64 and Float64 automatically
-register the measure by the given name. Each registered measure needs
-to be unique by name. Measures also have a description and a unit.
-
-Libraries can define and export measures. Application authors can then
-create views and collect and break down measures by the tags they are
-interested in.
-
-# Recording measurements
-
-Measurement is a data point to be collected for a measure. For example,
-for a latency (ms) measure, 100 is a measurement that represents a 100ms
-latency event. Measurements are created from measures with
-the current context. Tags from the current context are recorded with the
-measurements if they are any.
-
-Recorded measurements are dropped immediately if no views are registered for them.
-There is usually no need to conditionally enable and disable
-recording to reduce cost. Recording of measurements is cheap.
-
-Libraries can always record measurements, and applications can later decide
-on which measurements they want to collect by registering views. This allows
-libraries to turn on the instrumentation by default.
-
-# Exemplars
-
-For a given recorded measurement, the associated exemplar is a diagnostic map
-that gives more information about the measurement.
-
-When aggregated using a Distribution aggregation, an exemplar is kept for each
-bucket in the Distribution. This allows you to easily find an example of a
-measurement that fell into each bucket.
-
-For example, if you also use the OpenCensus trace package and you
-record a measurement with a context that contains a sampled trace span,
-then the trace span will be added to the exemplar associated with the measurement.
-
-When exported to a supporting back end, you should be able to easily navigate
-to example traces that fell into each bucket in the Distribution.
-*/
-package stats // import "go.opencensus.io/stats"