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nominal_api/conjure/objects/scout/compute/api/
bucketed_multivariate_plot.rs

1#[derive(
2    Debug,
3    Clone,
4    conjure_object::serde::Serialize,
5    conjure_object::serde::Deserialize,
6    conjure_object::private::DeriveWith
7)]
8#[serde(crate = "conjure_object::serde")]
9#[derive_with(PartialEq, Eq, PartialOrd, Ord, Hash)]
10#[conjure_object::private::staged_builder::staged_builder]
11#[builder(crate = conjure_object::private::staged_builder, update, inline)]
12pub struct BucketedMultivariatePlot {
13    #[builder(default, list(item(type = super::MultivariateBucket)))]
14    #[serde(rename = "buckets", skip_serializing_if = "Vec::is_empty", default)]
15    buckets: Vec<super::MultivariateBucket>,
16    #[builder(default, into)]
17    #[serde(rename = "groupByKeys", skip_serializing_if = "Option::is_none", default)]
18    group_by_keys: Option<Vec<String>>,
19}
20impl BucketedMultivariatePlot {
21    /// Constructs a new instance of the type.
22    #[inline]
23    pub fn new() -> Self {
24        Self::builder().build()
25    }
26    #[inline]
27    pub fn buckets(&self) -> &[super::MultivariateBucket] {
28        &*self.buckets
29    }
30    /// This field specifies the tags that the final output is grouped by. When you combine multiple channels,
31    /// this list represents the superset of all group by keys used across every individual channel.
32    #[inline]
33    pub fn group_by_keys(&self) -> Option<&[String]> {
34        self.group_by_keys.as_ref().map(|o| &**o)
35    }
36}