// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::update_training_job::_update_training_job_output::UpdateTrainingJobOutputBuilder;

pub use crate::operation::update_training_job::_update_training_job_input::UpdateTrainingJobInputBuilder;

impl crate::operation::update_training_job::builders::UpdateTrainingJobInputBuilder {
    /// Sends a request with this input using the given client.
    pub async fn send_with(
        self,
        client: &crate::Client,
    ) -> ::std::result::Result<
        crate::operation::update_training_job::UpdateTrainingJobOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::update_training_job::UpdateTrainingJobError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.update_training_job();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `UpdateTrainingJob`.
///
/// <p>Update a model training job to request a new Debugger profiling configuration or to change warm pool retention length.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct UpdateTrainingJobFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::update_training_job::builders::UpdateTrainingJobInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::update_training_job::UpdateTrainingJobOutput,
        crate::operation::update_training_job::UpdateTrainingJobError,
    > for UpdateTrainingJobFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::update_training_job::UpdateTrainingJobOutput,
            crate::operation::update_training_job::UpdateTrainingJobError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl UpdateTrainingJobFluentBuilder {
    /// Creates a new `UpdateTrainingJobFluentBuilder`.
    pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
        Self {
            handle,
            inner: ::std::default::Default::default(),
            config_override: ::std::option::Option::None,
        }
    }
    /// Access the UpdateTrainingJob as a reference.
    pub fn as_input(&self) -> &crate::operation::update_training_job::builders::UpdateTrainingJobInputBuilder {
        &self.inner
    }
    /// Sends the request and returns the response.
    ///
    /// If an error occurs, an `SdkError` will be returned with additional details that
    /// can be matched against.
    ///
    /// By default, any retryable failures will be retried twice. Retry behavior
    /// is configurable with the [RetryConfig](aws_smithy_types::retry::RetryConfig), which can be
    /// set when configuring the client.
    pub async fn send(
        self,
    ) -> ::std::result::Result<
        crate::operation::update_training_job::UpdateTrainingJobOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::update_training_job::UpdateTrainingJobError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let input = self
            .inner
            .build()
            .map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
        let runtime_plugins = crate::operation::update_training_job::UpdateTrainingJob::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::update_training_job::UpdateTrainingJob::orchestrate(&runtime_plugins, input).await
    }

    /// Consumes this builder, creating a customizable operation that can be modified before being sent.
    pub fn customize(
        self,
    ) -> crate::client::customize::CustomizableOperation<
        crate::operation::update_training_job::UpdateTrainingJobOutput,
        crate::operation::update_training_job::UpdateTrainingJobError,
        Self,
    > {
        crate::client::customize::CustomizableOperation::new(self)
    }
    pub(crate) fn config_override(mut self, config_override: impl ::std::convert::Into<crate::config::Builder>) -> Self {
        self.set_config_override(::std::option::Option::Some(config_override.into()));
        self
    }

    pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
        self.config_override = config_override;
        self
    }
    /// <p>The name of a training job to update the Debugger profiling configuration.</p>
    pub fn training_job_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.training_job_name(input.into());
        self
    }
    /// <p>The name of a training job to update the Debugger profiling configuration.</p>
    pub fn set_training_job_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_training_job_name(input);
        self
    }
    /// <p>The name of a training job to update the Debugger profiling configuration.</p>
    pub fn get_training_job_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_training_job_name()
    }
    /// <p>Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.</p>
    pub fn profiler_config(mut self, input: crate::types::ProfilerConfigForUpdate) -> Self {
        self.inner = self.inner.profiler_config(input);
        self
    }
    /// <p>Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.</p>
    pub fn set_profiler_config(mut self, input: ::std::option::Option<crate::types::ProfilerConfigForUpdate>) -> Self {
        self.inner = self.inner.set_profiler_config(input);
        self
    }
    /// <p>Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.</p>
    pub fn get_profiler_config(&self) -> &::std::option::Option<crate::types::ProfilerConfigForUpdate> {
        self.inner.get_profiler_config()
    }
    ///
    /// Appends an item to `ProfilerRuleConfigurations`.
    ///
    /// To override the contents of this collection use [`set_profiler_rule_configurations`](Self::set_profiler_rule_configurations).
    ///
    /// <p>Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.</p>
    pub fn profiler_rule_configurations(mut self, input: crate::types::ProfilerRuleConfiguration) -> Self {
        self.inner = self.inner.profiler_rule_configurations(input);
        self
    }
    /// <p>Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.</p>
    pub fn set_profiler_rule_configurations(
        mut self,
        input: ::std::option::Option<::std::vec::Vec<crate::types::ProfilerRuleConfiguration>>,
    ) -> Self {
        self.inner = self.inner.set_profiler_rule_configurations(input);
        self
    }
    /// <p>Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.</p>
    pub fn get_profiler_rule_configurations(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::ProfilerRuleConfiguration>> {
        self.inner.get_profiler_rule_configurations()
    }
    /// <p>The training job <code>ResourceConfig</code> to update warm pool retention length.</p>
    pub fn resource_config(mut self, input: crate::types::ResourceConfigForUpdate) -> Self {
        self.inner = self.inner.resource_config(input);
        self
    }
    /// <p>The training job <code>ResourceConfig</code> to update warm pool retention length.</p>
    pub fn set_resource_config(mut self, input: ::std::option::Option<crate::types::ResourceConfigForUpdate>) -> Self {
        self.inner = self.inner.set_resource_config(input);
        self
    }
    /// <p>The training job <code>ResourceConfig</code> to update warm pool retention length.</p>
    pub fn get_resource_config(&self) -> &::std::option::Option<crate::types::ResourceConfigForUpdate> {
        self.inner.get_resource_config()
    }
    /// <p>Configuration for remote debugging while the training job is running. You can update the remote debugging configuration when the <code>SecondaryStatus</code> of the job is <code>Downloading</code> or <code>Training</code>.To learn more about the remote debugging functionality of SageMaker, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/train-remote-debugging.html">Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging</a>.</p>
    pub fn remote_debug_config(mut self, input: crate::types::RemoteDebugConfigForUpdate) -> Self {
        self.inner = self.inner.remote_debug_config(input);
        self
    }
    /// <p>Configuration for remote debugging while the training job is running. You can update the remote debugging configuration when the <code>SecondaryStatus</code> of the job is <code>Downloading</code> or <code>Training</code>.To learn more about the remote debugging functionality of SageMaker, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/train-remote-debugging.html">Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging</a>.</p>
    pub fn set_remote_debug_config(mut self, input: ::std::option::Option<crate::types::RemoteDebugConfigForUpdate>) -> Self {
        self.inner = self.inner.set_remote_debug_config(input);
        self
    }
    /// <p>Configuration for remote debugging while the training job is running. You can update the remote debugging configuration when the <code>SecondaryStatus</code> of the job is <code>Downloading</code> or <code>Training</code>.To learn more about the remote debugging functionality of SageMaker, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/train-remote-debugging.html">Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging</a>.</p>
    pub fn get_remote_debug_config(&self) -> &::std::option::Option<crate::types::RemoteDebugConfigForUpdate> {
        self.inner.get_remote_debug_config()
    }
}