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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 UpdateEndpointInput {
    /// <p>The Amazon Resource Number (ARN) of the endpoint being updated.</p>
    pub endpoint_arn: ::std::option::Option<::std::string::String>,
    /// <p>The ARN of the new model to use when updating an existing endpoint.</p>
    pub desired_model_arn: ::std::option::Option<::std::string::String>,
    /// <p> The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.</p>
    pub desired_inference_units: ::std::option::Option<i32>,
    /// <p>Data access role ARN to use in case the new model is encrypted with a customer CMK.</p>
    pub desired_data_access_role_arn: ::std::option::Option<::std::string::String>,
    /// <p>The Amazon Resource Number (ARN) of the flywheel</p>
    pub flywheel_arn: ::std::option::Option<::std::string::String>,
}
impl UpdateEndpointInput {
    /// <p>The Amazon Resource Number (ARN) of the endpoint being updated.</p>
    pub fn endpoint_arn(&self) -> ::std::option::Option<&str> {
        self.endpoint_arn.as_deref()
    }
    /// <p>The ARN of the new model to use when updating an existing endpoint.</p>
    pub fn desired_model_arn(&self) -> ::std::option::Option<&str> {
        self.desired_model_arn.as_deref()
    }
    /// <p> The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.</p>
    pub fn desired_inference_units(&self) -> ::std::option::Option<i32> {
        self.desired_inference_units
    }
    /// <p>Data access role ARN to use in case the new model is encrypted with a customer CMK.</p>
    pub fn desired_data_access_role_arn(&self) -> ::std::option::Option<&str> {
        self.desired_data_access_role_arn.as_deref()
    }
    /// <p>The Amazon Resource Number (ARN) of the flywheel</p>
    pub fn flywheel_arn(&self) -> ::std::option::Option<&str> {
        self.flywheel_arn.as_deref()
    }
}
impl UpdateEndpointInput {
    /// Creates a new builder-style object to manufacture [`UpdateEndpointInput`](crate::operation::update_endpoint::UpdateEndpointInput).
    pub fn builder() -> crate::operation::update_endpoint::builders::UpdateEndpointInputBuilder {
        crate::operation::update_endpoint::builders::UpdateEndpointInputBuilder::default()
    }
}

/// A builder for [`UpdateEndpointInput`](crate::operation::update_endpoint::UpdateEndpointInput).
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
pub struct UpdateEndpointInputBuilder {
    pub(crate) endpoint_arn: ::std::option::Option<::std::string::String>,
    pub(crate) desired_model_arn: ::std::option::Option<::std::string::String>,
    pub(crate) desired_inference_units: ::std::option::Option<i32>,
    pub(crate) desired_data_access_role_arn: ::std::option::Option<::std::string::String>,
    pub(crate) flywheel_arn: ::std::option::Option<::std::string::String>,
}
impl UpdateEndpointInputBuilder {
    /// <p>The Amazon Resource Number (ARN) of the endpoint being updated.</p>
    pub fn endpoint_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.endpoint_arn = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The Amazon Resource Number (ARN) of the endpoint being updated.</p>
    pub fn set_endpoint_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.endpoint_arn = input;
        self
    }
    /// <p>The Amazon Resource Number (ARN) of the endpoint being updated.</p>
    pub fn get_endpoint_arn(&self) -> &::std::option::Option<::std::string::String> {
        &self.endpoint_arn
    }
    /// <p>The ARN of the new model to use when updating an existing endpoint.</p>
    pub fn desired_model_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.desired_model_arn = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The ARN of the new model to use when updating an existing endpoint.</p>
    pub fn set_desired_model_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.desired_model_arn = input;
        self
    }
    /// <p>The ARN of the new model to use when updating an existing endpoint.</p>
    pub fn get_desired_model_arn(&self) -> &::std::option::Option<::std::string::String> {
        &self.desired_model_arn
    }
    /// <p> The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.</p>
    pub fn desired_inference_units(mut self, input: i32) -> Self {
        self.desired_inference_units = ::std::option::Option::Some(input);
        self
    }
    /// <p> The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.</p>
    pub fn set_desired_inference_units(mut self, input: ::std::option::Option<i32>) -> Self {
        self.desired_inference_units = input;
        self
    }
    /// <p> The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.</p>
    pub fn get_desired_inference_units(&self) -> &::std::option::Option<i32> {
        &self.desired_inference_units
    }
    /// <p>Data access role ARN to use in case the new model is encrypted with a customer CMK.</p>
    pub fn desired_data_access_role_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.desired_data_access_role_arn = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>Data access role ARN to use in case the new model is encrypted with a customer CMK.</p>
    pub fn set_desired_data_access_role_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.desired_data_access_role_arn = input;
        self
    }
    /// <p>Data access role ARN to use in case the new model is encrypted with a customer CMK.</p>
    pub fn get_desired_data_access_role_arn(&self) -> &::std::option::Option<::std::string::String> {
        &self.desired_data_access_role_arn
    }
    /// <p>The Amazon Resource Number (ARN) of the flywheel</p>
    pub fn flywheel_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.flywheel_arn = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The Amazon Resource Number (ARN) of the flywheel</p>
    pub fn set_flywheel_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.flywheel_arn = input;
        self
    }
    /// <p>The Amazon Resource Number (ARN) of the flywheel</p>
    pub fn get_flywheel_arn(&self) -> &::std::option::Option<::std::string::String> {
        &self.flywheel_arn
    }
    /// Consumes the builder and constructs a [`UpdateEndpointInput`](crate::operation::update_endpoint::UpdateEndpointInput).
    pub fn build(
        self,
    ) -> ::std::result::Result<crate::operation::update_endpoint::UpdateEndpointInput, ::aws_smithy_http::operation::error::BuildError> {
        ::std::result::Result::Ok(crate::operation::update_endpoint::UpdateEndpointInput {
            endpoint_arn: self.endpoint_arn,
            desired_model_arn: self.desired_model_arn,
            desired_inference_units: self.desired_inference_units,
            desired_data_access_role_arn: self.desired_data_access_role_arn,
            flywheel_arn: self.flywheel_arn,
        })
    }
}