<?php
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/monitoring/v3/common.proto

namespace Google\Cloud\Monitoring\V3\Aggregation;

use UnexpectedValueException;

/**
 * A Reducer operation describes how to aggregate data points from multiple
 * time series into a single time series, where the value of each data point
 * in the resulting series is a function of all the already aligned values in
 * the input time series.
 *
 * Protobuf type <code>google.monitoring.v3.Aggregation.Reducer</code>
 */
class Reducer
{
    /**
     * No cross-time series reduction. The output of the `Aligner` is
     * returned.
     *
     * Generated from protobuf enum <code>REDUCE_NONE = 0;</code>
     */
    const REDUCE_NONE = 0;
    /**
     * Reduce by computing the mean value across time series for each
     * alignment period. This reducer is valid for
     * [DELTA][google.api.MetricDescriptor.MetricKind.DELTA] and
     * [GAUGE][google.api.MetricDescriptor.MetricKind.GAUGE] metrics with
     * numeric or distribution values. The `value_type` of the output is
     * [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
     *
     * Generated from protobuf enum <code>REDUCE_MEAN = 1;</code>
     */
    const REDUCE_MEAN = 1;
    /**
     * Reduce by computing the minimum value across time series for each
     * alignment period. This reducer is valid for `DELTA` and `GAUGE` metrics
     * with numeric values. The `value_type` of the output is the same as the
     * `value_type` of the input.
     *
     * Generated from protobuf enum <code>REDUCE_MIN = 2;</code>
     */
    const REDUCE_MIN = 2;
    /**
     * Reduce by computing the maximum value across time series for each
     * alignment period. This reducer is valid for `DELTA` and `GAUGE` metrics
     * with numeric values. The `value_type` of the output is the same as the
     * `value_type` of the input.
     *
     * Generated from protobuf enum <code>REDUCE_MAX = 3;</code>
     */
    const REDUCE_MAX = 3;
    /**
     * Reduce by computing the sum across time series for each
     * alignment period. This reducer is valid for `DELTA` and `GAUGE` metrics
     * with numeric and distribution values. The `value_type` of the output is
     * the same as the `value_type` of the input.
     *
     * Generated from protobuf enum <code>REDUCE_SUM = 4;</code>
     */
    const REDUCE_SUM = 4;
    /**
     * Reduce by computing the standard deviation across time series
     * for each alignment period. This reducer is valid for `DELTA` and
     * `GAUGE` metrics with numeric or distribution values. The `value_type`
     * of the output is `DOUBLE`.
     *
     * Generated from protobuf enum <code>REDUCE_STDDEV = 5;</code>
     */
    const REDUCE_STDDEV = 5;
    /**
     * Reduce by computing the number of data points across time series
     * for each alignment period. This reducer is valid for `DELTA` and
     * `GAUGE` metrics of numeric, Boolean, distribution, and string
     * `value_type`. The `value_type` of the output is `INT64`.
     *
     * Generated from protobuf enum <code>REDUCE_COUNT = 6;</code>
     */
    const REDUCE_COUNT = 6;
    /**
     * Reduce by computing the number of `True`-valued data points across time
     * series for each alignment period. This reducer is valid for `DELTA` and
     * `GAUGE` metrics of Boolean `value_type`. The `value_type` of the output
     * is `INT64`.
     *
     * Generated from protobuf enum <code>REDUCE_COUNT_TRUE = 7;</code>
     */
    const REDUCE_COUNT_TRUE = 7;
    /**
     * Reduce by computing the number of `False`-valued data points across time
     * series for each alignment period. This reducer is valid for `DELTA` and
     * `GAUGE` metrics of Boolean `value_type`. The `value_type` of the output
     * is `INT64`.
     *
     * Generated from protobuf enum <code>REDUCE_COUNT_FALSE = 15;</code>
     */
    const REDUCE_COUNT_FALSE = 15;
    /**
     * Reduce by computing the ratio of the number of `True`-valued data points
     * to the total number of data points for each alignment period. This
     * reducer is valid for `DELTA` and `GAUGE` metrics of Boolean `value_type`.
     * The output value is in the range [0.0, 1.0] and has `value_type`
     * `DOUBLE`.
     *
     * Generated from protobuf enum <code>REDUCE_FRACTION_TRUE = 8;</code>
     */
    const REDUCE_FRACTION_TRUE = 8;
    /**
     * Reduce by computing the [99th
     * percentile](https://en.wikipedia.org/wiki/Percentile) of data points
     * across time series for each alignment period. This reducer is valid for
     * `GAUGE` and `DELTA` metrics of numeric and distribution type. The value
     * of the output is `DOUBLE`.
     *
     * Generated from protobuf enum <code>REDUCE_PERCENTILE_99 = 9;</code>
     */
    const REDUCE_PERCENTILE_99 = 9;
    /**
     * Reduce by computing the [95th
     * percentile](https://en.wikipedia.org/wiki/Percentile) of data points
     * across time series for each alignment period. This reducer is valid for
     * `GAUGE` and `DELTA` metrics of numeric and distribution type. The value
     * of the output is `DOUBLE`.
     *
     * Generated from protobuf enum <code>REDUCE_PERCENTILE_95 = 10;</code>
     */
    const REDUCE_PERCENTILE_95 = 10;
    /**
     * Reduce by computing the [50th
     * percentile](https://en.wikipedia.org/wiki/Percentile) of data points
     * across time series for each alignment period. This reducer is valid for
     * `GAUGE` and `DELTA` metrics of numeric and distribution type. The value
     * of the output is `DOUBLE`.
     *
     * Generated from protobuf enum <code>REDUCE_PERCENTILE_50 = 11;</code>
     */
    const REDUCE_PERCENTILE_50 = 11;
    /**
     * Reduce by computing the [5th
     * percentile](https://en.wikipedia.org/wiki/Percentile) of data points
     * across time series for each alignment period. This reducer is valid for
     * `GAUGE` and `DELTA` metrics of numeric and distribution type. The value
     * of the output is `DOUBLE`.
     *
     * Generated from protobuf enum <code>REDUCE_PERCENTILE_05 = 12;</code>
     */
    const REDUCE_PERCENTILE_05 = 12;

    private static $valueToName = [
        self::REDUCE_NONE => 'REDUCE_NONE',
        self::REDUCE_MEAN => 'REDUCE_MEAN',
        self::REDUCE_MIN => 'REDUCE_MIN',
        self::REDUCE_MAX => 'REDUCE_MAX',
        self::REDUCE_SUM => 'REDUCE_SUM',
        self::REDUCE_STDDEV => 'REDUCE_STDDEV',
        self::REDUCE_COUNT => 'REDUCE_COUNT',
        self::REDUCE_COUNT_TRUE => 'REDUCE_COUNT_TRUE',
        self::REDUCE_COUNT_FALSE => 'REDUCE_COUNT_FALSE',
        self::REDUCE_FRACTION_TRUE => 'REDUCE_FRACTION_TRUE',
        self::REDUCE_PERCENTILE_99 => 'REDUCE_PERCENTILE_99',
        self::REDUCE_PERCENTILE_95 => 'REDUCE_PERCENTILE_95',
        self::REDUCE_PERCENTILE_50 => 'REDUCE_PERCENTILE_50',
        self::REDUCE_PERCENTILE_05 => 'REDUCE_PERCENTILE_05',
    ];

    public static function name($value)
    {
        if (!isset(self::$valueToName[$value])) {
            throw new UnexpectedValueException(sprintf(
                    'Enum %s has no name defined for value %s', __CLASS__, $value));
        }
        return self::$valueToName[$value];
    }


    public static function value($name)
    {
        $const = __CLASS__ . '::' . strtoupper($name);
        if (!defined($const)) {
            throw new UnexpectedValueException(sprintf(
                    'Enum %s has no value defined for name %s', __CLASS__, $name));
        }
        return constant($const);
    }
}

// Adding a class alias for backwards compatibility with the previous class name.
class_alias(Reducer::class, \Google\Cloud\Monitoring\V3\Aggregation_Reducer::class);