Struct google_servicecontrol1::Distribution

pub struct Distribution {
    pub count: Option<String>,
    pub sum_of_squared_deviation: Option<f64>,
    pub bucket_counts: Option<Vec<i64>>,
    pub exponential_buckets: Option<ExponentialBuckets>,
    pub maximum: Option<f64>,
    pub minimum: Option<f64>,
    pub linear_buckets: Option<LinearBuckets>,
    pub explicit_buckets: Option<ExplicitBuckets>,
    pub mean: Option<f64>,
}

Distribution represents a frequency distribution of double-valued sample points. It contains the size of the population of sample points plus additional optional information:

• the arithmetic mean of the samples
• the minimum and maximum of the samples
• the sum-squared-deviation of the samples, used to compute variance
• a histogram of the values of the sample points

This type is not used in any activity, and only used as part of another schema.

Fields

count: Option<String>

The total number of samples in the distribution. Must be >= 0.

sum_of_squared_deviation: Option<f64>

The sum of squared deviations from the mean: Sumi=1..count where each x_i is a sample values. If count is zero then this field must be zero, otherwise validation of the request fails.

bucket_counts: Option<Vec<i64>>

The number of samples in each histogram bucket. bucket_counts are optional. If present, they must sum to the count value.

The buckets are defined below in bucket_option. There are N buckets. bucket_counts[0] is the number of samples in the underflow bucket. bucket_counts[1] to bucket_counts[N-1] are the numbers of samples in each of the finite buckets. And bucket_counts[N] is the number of samples in the overflow bucket. See the comments ofbucket_option` below for more details.

Any suffix of trailing zeros may be omitted.

exponential_buckets: Option<ExponentialBuckets>

Buckets with exponentially growing width.

maximum: Option<f64>

The maximum of the population of values. Ignored if count is zero.

minimum: Option<f64>

The minimum of the population of values. Ignored if count is zero.

linear_buckets: Option<LinearBuckets>

Buckets with constant width.

explicit_buckets: Option<ExplicitBuckets>

Buckets with arbitrary user-provided width.

mean: Option<f64>

The arithmetic mean of the samples in the distribution. If count is zero then this field must be zero.

Trait Implementations

impl Default for Distribution

fn default() -> Distribution

Returns the "default value" for a type.

impl Clone for Distribution

fn clone(&self) -> Distribution

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Distribution

fn fmt(&self, f: &mut Formatter) -> Result

Formats the value using the given formatter.

impl Part for Distribution