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docs: fix docstring formatting (#79)
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Committer: @parthea
PiperOrigin-RevId: 404008335

Source-Link: googleapis/googleapis@4dd6036

Source-Link: googleapis/googleapis-gen@5fb830d
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gcf-owl-bot[bot] committed Oct 21, 2021
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Expand Up @@ -25,10 +25,10 @@
* 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
* * 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
* </pre>
*
* Protobuf type {@code google.api.servicecontrol.v1.Distribution}
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* 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
* * 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
* </pre>
*
* Protobuf type {@code google.api.servicecontrol.v1.Distribution}
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Expand Up @@ -31,10 +31,10 @@ option ruby_package = "Google::Cloud::ServiceControl::V1";
// 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
// * 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
message Distribution {
// Describing buckets with constant width.
message LinearBuckets {
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