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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
#[allow(missing_docs)] // documentation missing in model
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
pub struct GetExperimentResultsInput {
    /// <p>The name or ARN of the project that contains the experiment that you want to see the results of.</p>
    pub project: ::std::option::Option<::std::string::String>,
    /// <p>The name of the experiment to retrieve the results of.</p>
    pub experiment: ::std::option::Option<::std::string::String>,
    /// <p>The date and time that the experiment started.</p>
    pub start_time: ::std::option::Option<::aws_smithy_types::DateTime>,
    /// <p>The date and time that the experiment ended, if it is completed. This must be no longer than 30 days after the experiment start time.</p>
    pub end_time: ::std::option::Option<::aws_smithy_types::DateTime>,
    /// <p>The names of the experiment metrics that you want to see the results of.</p>
    pub metric_names: ::std::option::Option<::std::vec::Vec<::std::string::String>>,
    /// <p>The names of the experiment treatments that you want to see the results for.</p>
    pub treatment_names: ::std::option::Option<::std::vec::Vec<::std::string::String>>,
    /// <p>The statistic used to calculate experiment results. Currently the only valid value is <code>mean</code>, which uses the mean of the collected values as the statistic.</p>
    pub base_stat: ::std::option::Option<crate::types::ExperimentBaseStat>,
    /// <p>The statistics that you want to see in the returned results.</p>
    /// <ul>
    /// <li>
    /// <p><code>PValue</code> specifies to use p-values for the results. A p-value is used in hypothesis testing to measure how often you are willing to make a mistake in rejecting the null hypothesis. A general practice is to reject the null hypothesis and declare that the results are statistically significant when the p-value is less than 0.05.</p></li>
    /// <li>
    /// <p><code>ConfidenceInterval</code> specifies a confidence interval for the results. The confidence interval represents the range of values for the chosen metric that is likely to contain the true difference between the <code>baseStat</code> of a variation and the baseline. Evidently returns the 95% confidence interval.</p></li>
    /// <li>
    /// <p><code>TreatmentEffect</code> is the difference in the statistic specified by the <code>baseStat</code> parameter between each variation and the default variation.</p></li>
    /// <li>
    /// <p><code>BaseStat</code> returns the statistical values collected for the metric for each variation. The statistic uses the same statistic specified in the <code>baseStat</code> parameter. Therefore, if <code>baseStat</code> is <code>mean</code>, this returns the mean of the values collected for each variation.</p></li>
    /// </ul>
    pub result_stats: ::std::option::Option<::std::vec::Vec<crate::types::ExperimentResultRequestType>>,
    /// <p>The names of the report types that you want to see. Currently, <code>BayesianInference</code> is the only valid value.</p>
    pub report_names: ::std::option::Option<::std::vec::Vec<crate::types::ExperimentReportName>>,
    /// <p>In seconds, the amount of time to aggregate results together.</p>
    pub period: ::std::option::Option<i64>,
}
impl GetExperimentResultsInput {
    /// <p>The name or ARN of the project that contains the experiment that you want to see the results of.</p>
    pub fn project(&self) -> ::std::option::Option<&str> {
        self.project.as_deref()
    }
    /// <p>The name of the experiment to retrieve the results of.</p>
    pub fn experiment(&self) -> ::std::option::Option<&str> {
        self.experiment.as_deref()
    }
    /// <p>The date and time that the experiment started.</p>
    pub fn start_time(&self) -> ::std::option::Option<&::aws_smithy_types::DateTime> {
        self.start_time.as_ref()
    }
    /// <p>The date and time that the experiment ended, if it is completed. This must be no longer than 30 days after the experiment start time.</p>
    pub fn end_time(&self) -> ::std::option::Option<&::aws_smithy_types::DateTime> {
        self.end_time.as_ref()
    }
    /// <p>The names of the experiment metrics that you want to see the results of.</p>
    ///
    /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.metric_names.is_none()`.
    pub fn metric_names(&self) -> &[::std::string::String] {
        self.metric_names.as_deref().unwrap_or_default()
    }
    /// <p>The names of the experiment treatments that you want to see the results for.</p>
    ///
    /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.treatment_names.is_none()`.
    pub fn treatment_names(&self) -> &[::std::string::String] {
        self.treatment_names.as_deref().unwrap_or_default()
    }
    /// <p>The statistic used to calculate experiment results. Currently the only valid value is <code>mean</code>, which uses the mean of the collected values as the statistic.</p>
    pub fn base_stat(&self) -> ::std::option::Option<&crate::types::ExperimentBaseStat> {
        self.base_stat.as_ref()
    }
    /// <p>The statistics that you want to see in the returned results.</p>
    /// <ul>
    /// <li>
    /// <p><code>PValue</code> specifies to use p-values for the results. A p-value is used in hypothesis testing to measure how often you are willing to make a mistake in rejecting the null hypothesis. A general practice is to reject the null hypothesis and declare that the results are statistically significant when the p-value is less than 0.05.</p></li>
    /// <li>
    /// <p><code>ConfidenceInterval</code> specifies a confidence interval for the results. The confidence interval represents the range of values for the chosen metric that is likely to contain the true difference between the <code>baseStat</code> of a variation and the baseline. Evidently returns the 95% confidence interval.</p></li>
    /// <li>
    /// <p><code>TreatmentEffect</code> is the difference in the statistic specified by the <code>baseStat</code> parameter between each variation and the default variation.</p></li>
    /// <li>
    /// <p><code>BaseStat</code> returns the statistical values collected for the metric for each variation. The statistic uses the same statistic specified in the <code>baseStat</code> parameter. Therefore, if <code>baseStat</code> is <code>mean</code>, this returns the mean of the values collected for each variation.</p></li>
    /// </ul>
    ///
    /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.result_stats.is_none()`.
    pub fn result_stats(&self) -> &[crate::types::ExperimentResultRequestType] {
        self.result_stats.as_deref().unwrap_or_default()
    }
    /// <p>The names of the report types that you want to see. Currently, <code>BayesianInference</code> is the only valid value.</p>
    ///
    /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.report_names.is_none()`.
    pub fn report_names(&self) -> &[crate::types::ExperimentReportName] {
        self.report_names.as_deref().unwrap_or_default()
    }
    /// <p>In seconds, the amount of time to aggregate results together.</p>
    pub fn period(&self) -> ::std::option::Option<i64> {
        self.period
    }
}
impl GetExperimentResultsInput {
    /// Creates a new builder-style object to manufacture [`GetExperimentResultsInput`](crate::operation::get_experiment_results::GetExperimentResultsInput).
    pub fn builder() -> crate::operation::get_experiment_results::builders::GetExperimentResultsInputBuilder {
        crate::operation::get_experiment_results::builders::GetExperimentResultsInputBuilder::default()
    }
}

/// A builder for [`GetExperimentResultsInput`](crate::operation::get_experiment_results::GetExperimentResultsInput).
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
pub struct GetExperimentResultsInputBuilder {
    pub(crate) project: ::std::option::Option<::std::string::String>,
    pub(crate) experiment: ::std::option::Option<::std::string::String>,
    pub(crate) start_time: ::std::option::Option<::aws_smithy_types::DateTime>,
    pub(crate) end_time: ::std::option::Option<::aws_smithy_types::DateTime>,
    pub(crate) metric_names: ::std::option::Option<::std::vec::Vec<::std::string::String>>,
    pub(crate) treatment_names: ::std::option::Option<::std::vec::Vec<::std::string::String>>,
    pub(crate) base_stat: ::std::option::Option<crate::types::ExperimentBaseStat>,
    pub(crate) result_stats: ::std::option::Option<::std::vec::Vec<crate::types::ExperimentResultRequestType>>,
    pub(crate) report_names: ::std::option::Option<::std::vec::Vec<crate::types::ExperimentReportName>>,
    pub(crate) period: ::std::option::Option<i64>,
}
impl GetExperimentResultsInputBuilder {
    /// <p>The name or ARN of the project that contains the experiment that you want to see the results of.</p>
    /// This field is required.
    pub fn project(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.project = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The name or ARN of the project that contains the experiment that you want to see the results of.</p>
    pub fn set_project(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.project = input;
        self
    }
    /// <p>The name or ARN of the project that contains the experiment that you want to see the results of.</p>
    pub fn get_project(&self) -> &::std::option::Option<::std::string::String> {
        &self.project
    }
    /// <p>The name of the experiment to retrieve the results of.</p>
    /// This field is required.
    pub fn experiment(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.experiment = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The name of the experiment to retrieve the results of.</p>
    pub fn set_experiment(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.experiment = input;
        self
    }
    /// <p>The name of the experiment to retrieve the results of.</p>
    pub fn get_experiment(&self) -> &::std::option::Option<::std::string::String> {
        &self.experiment
    }
    /// <p>The date and time that the experiment started.</p>
    pub fn start_time(mut self, input: ::aws_smithy_types::DateTime) -> Self {
        self.start_time = ::std::option::Option::Some(input);
        self
    }
    /// <p>The date and time that the experiment started.</p>
    pub fn set_start_time(mut self, input: ::std::option::Option<::aws_smithy_types::DateTime>) -> Self {
        self.start_time = input;
        self
    }
    /// <p>The date and time that the experiment started.</p>
    pub fn get_start_time(&self) -> &::std::option::Option<::aws_smithy_types::DateTime> {
        &self.start_time
    }
    /// <p>The date and time that the experiment ended, if it is completed. This must be no longer than 30 days after the experiment start time.</p>
    pub fn end_time(mut self, input: ::aws_smithy_types::DateTime) -> Self {
        self.end_time = ::std::option::Option::Some(input);
        self
    }
    /// <p>The date and time that the experiment ended, if it is completed. This must be no longer than 30 days after the experiment start time.</p>
    pub fn set_end_time(mut self, input: ::std::option::Option<::aws_smithy_types::DateTime>) -> Self {
        self.end_time = input;
        self
    }
    /// <p>The date and time that the experiment ended, if it is completed. This must be no longer than 30 days after the experiment start time.</p>
    pub fn get_end_time(&self) -> &::std::option::Option<::aws_smithy_types::DateTime> {
        &self.end_time
    }
    /// Appends an item to `metric_names`.
    ///
    /// To override the contents of this collection use [`set_metric_names`](Self::set_metric_names).
    ///
    /// <p>The names of the experiment metrics that you want to see the results of.</p>
    pub fn metric_names(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        let mut v = self.metric_names.unwrap_or_default();
        v.push(input.into());
        self.metric_names = ::std::option::Option::Some(v);
        self
    }
    /// <p>The names of the experiment metrics that you want to see the results of.</p>
    pub fn set_metric_names(mut self, input: ::std::option::Option<::std::vec::Vec<::std::string::String>>) -> Self {
        self.metric_names = input;
        self
    }
    /// <p>The names of the experiment metrics that you want to see the results of.</p>
    pub fn get_metric_names(&self) -> &::std::option::Option<::std::vec::Vec<::std::string::String>> {
        &self.metric_names
    }
    /// Appends an item to `treatment_names`.
    ///
    /// To override the contents of this collection use [`set_treatment_names`](Self::set_treatment_names).
    ///
    /// <p>The names of the experiment treatments that you want to see the results for.</p>
    pub fn treatment_names(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        let mut v = self.treatment_names.unwrap_or_default();
        v.push(input.into());
        self.treatment_names = ::std::option::Option::Some(v);
        self
    }
    /// <p>The names of the experiment treatments that you want to see the results for.</p>
    pub fn set_treatment_names(mut self, input: ::std::option::Option<::std::vec::Vec<::std::string::String>>) -> Self {
        self.treatment_names = input;
        self
    }
    /// <p>The names of the experiment treatments that you want to see the results for.</p>
    pub fn get_treatment_names(&self) -> &::std::option::Option<::std::vec::Vec<::std::string::String>> {
        &self.treatment_names
    }
    /// <p>The statistic used to calculate experiment results. Currently the only valid value is <code>mean</code>, which uses the mean of the collected values as the statistic.</p>
    pub fn base_stat(mut self, input: crate::types::ExperimentBaseStat) -> Self {
        self.base_stat = ::std::option::Option::Some(input);
        self
    }
    /// <p>The statistic used to calculate experiment results. Currently the only valid value is <code>mean</code>, which uses the mean of the collected values as the statistic.</p>
    pub fn set_base_stat(mut self, input: ::std::option::Option<crate::types::ExperimentBaseStat>) -> Self {
        self.base_stat = input;
        self
    }
    /// <p>The statistic used to calculate experiment results. Currently the only valid value is <code>mean</code>, which uses the mean of the collected values as the statistic.</p>
    pub fn get_base_stat(&self) -> &::std::option::Option<crate::types::ExperimentBaseStat> {
        &self.base_stat
    }
    /// Appends an item to `result_stats`.
    ///
    /// To override the contents of this collection use [`set_result_stats`](Self::set_result_stats).
    ///
    /// <p>The statistics that you want to see in the returned results.</p>
    /// <ul>
    /// <li>
    /// <p><code>PValue</code> specifies to use p-values for the results. A p-value is used in hypothesis testing to measure how often you are willing to make a mistake in rejecting the null hypothesis. A general practice is to reject the null hypothesis and declare that the results are statistically significant when the p-value is less than 0.05.</p></li>
    /// <li>
    /// <p><code>ConfidenceInterval</code> specifies a confidence interval for the results. The confidence interval represents the range of values for the chosen metric that is likely to contain the true difference between the <code>baseStat</code> of a variation and the baseline. Evidently returns the 95% confidence interval.</p></li>
    /// <li>
    /// <p><code>TreatmentEffect</code> is the difference in the statistic specified by the <code>baseStat</code> parameter between each variation and the default variation.</p></li>
    /// <li>
    /// <p><code>BaseStat</code> returns the statistical values collected for the metric for each variation. The statistic uses the same statistic specified in the <code>baseStat</code> parameter. Therefore, if <code>baseStat</code> is <code>mean</code>, this returns the mean of the values collected for each variation.</p></li>
    /// </ul>
    pub fn result_stats(mut self, input: crate::types::ExperimentResultRequestType) -> Self {
        let mut v = self.result_stats.unwrap_or_default();
        v.push(input);
        self.result_stats = ::std::option::Option::Some(v);
        self
    }
    /// <p>The statistics that you want to see in the returned results.</p>
    /// <ul>
    /// <li>
    /// <p><code>PValue</code> specifies to use p-values for the results. A p-value is used in hypothesis testing to measure how often you are willing to make a mistake in rejecting the null hypothesis. A general practice is to reject the null hypothesis and declare that the results are statistically significant when the p-value is less than 0.05.</p></li>
    /// <li>
    /// <p><code>ConfidenceInterval</code> specifies a confidence interval for the results. The confidence interval represents the range of values for the chosen metric that is likely to contain the true difference between the <code>baseStat</code> of a variation and the baseline. Evidently returns the 95% confidence interval.</p></li>
    /// <li>
    /// <p><code>TreatmentEffect</code> is the difference in the statistic specified by the <code>baseStat</code> parameter between each variation and the default variation.</p></li>
    /// <li>
    /// <p><code>BaseStat</code> returns the statistical values collected for the metric for each variation. The statistic uses the same statistic specified in the <code>baseStat</code> parameter. Therefore, if <code>baseStat</code> is <code>mean</code>, this returns the mean of the values collected for each variation.</p></li>
    /// </ul>
    pub fn set_result_stats(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::ExperimentResultRequestType>>) -> Self {
        self.result_stats = input;
        self
    }
    /// <p>The statistics that you want to see in the returned results.</p>
    /// <ul>
    /// <li>
    /// <p><code>PValue</code> specifies to use p-values for the results. A p-value is used in hypothesis testing to measure how often you are willing to make a mistake in rejecting the null hypothesis. A general practice is to reject the null hypothesis and declare that the results are statistically significant when the p-value is less than 0.05.</p></li>
    /// <li>
    /// <p><code>ConfidenceInterval</code> specifies a confidence interval for the results. The confidence interval represents the range of values for the chosen metric that is likely to contain the true difference between the <code>baseStat</code> of a variation and the baseline. Evidently returns the 95% confidence interval.</p></li>
    /// <li>
    /// <p><code>TreatmentEffect</code> is the difference in the statistic specified by the <code>baseStat</code> parameter between each variation and the default variation.</p></li>
    /// <li>
    /// <p><code>BaseStat</code> returns the statistical values collected for the metric for each variation. The statistic uses the same statistic specified in the <code>baseStat</code> parameter. Therefore, if <code>baseStat</code> is <code>mean</code>, this returns the mean of the values collected for each variation.</p></li>
    /// </ul>
    pub fn get_result_stats(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::ExperimentResultRequestType>> {
        &self.result_stats
    }
    /// Appends an item to `report_names`.
    ///
    /// To override the contents of this collection use [`set_report_names`](Self::set_report_names).
    ///
    /// <p>The names of the report types that you want to see. Currently, <code>BayesianInference</code> is the only valid value.</p>
    pub fn report_names(mut self, input: crate::types::ExperimentReportName) -> Self {
        let mut v = self.report_names.unwrap_or_default();
        v.push(input);
        self.report_names = ::std::option::Option::Some(v);
        self
    }
    /// <p>The names of the report types that you want to see. Currently, <code>BayesianInference</code> is the only valid value.</p>
    pub fn set_report_names(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::ExperimentReportName>>) -> Self {
        self.report_names = input;
        self
    }
    /// <p>The names of the report types that you want to see. Currently, <code>BayesianInference</code> is the only valid value.</p>
    pub fn get_report_names(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::ExperimentReportName>> {
        &self.report_names
    }
    /// <p>In seconds, the amount of time to aggregate results together.</p>
    pub fn period(mut self, input: i64) -> Self {
        self.period = ::std::option::Option::Some(input);
        self
    }
    /// <p>In seconds, the amount of time to aggregate results together.</p>
    pub fn set_period(mut self, input: ::std::option::Option<i64>) -> Self {
        self.period = input;
        self
    }
    /// <p>In seconds, the amount of time to aggregate results together.</p>
    pub fn get_period(&self) -> &::std::option::Option<i64> {
        &self.period
    }
    /// Consumes the builder and constructs a [`GetExperimentResultsInput`](crate::operation::get_experiment_results::GetExperimentResultsInput).
    pub fn build(
        self,
    ) -> ::std::result::Result<crate::operation::get_experiment_results::GetExperimentResultsInput, ::aws_smithy_types::error::operation::BuildError>
    {
        ::std::result::Result::Ok(crate::operation::get_experiment_results::GetExperimentResultsInput {
            project: self.project,
            experiment: self.experiment,
            start_time: self.start_time,
            end_time: self.end_time,
            metric_names: self.metric_names,
            treatment_names: self.treatment_names,
            base_stat: self.base_stat,
            result_stats: self.result_stats,
            report_names: self.report_names,
            period: self.period,
        })
    }
}