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The AWS SDK for Kotlin client for CleanRoomsML
// Code generated by smithy-kotlin-codegen. DO NOT EDIT!
package aws.sdk.kotlin.services.cleanroomsml.model
import aws.smithy.kotlin.runtime.SdkDsl
/**
* Defines information about the data source used for model inference.
*/
public class ModelInferenceDataSource private constructor(builder: Builder) {
/**
* The Amazon Resource Name (ARN) of the ML input channel for this model inference data source.
*/
public val mlInputChannelArn: kotlin.String = requireNotNull(builder.mlInputChannelArn) { "A non-null value must be provided for mlInputChannelArn" }
public companion object {
public operator fun invoke(block: Builder.() -> kotlin.Unit): aws.sdk.kotlin.services.cleanroomsml.model.ModelInferenceDataSource = Builder().apply(block).build()
}
override fun toString(): kotlin.String = buildString {
append("ModelInferenceDataSource(")
append("mlInputChannelArn=$mlInputChannelArn")
append(")")
}
override fun hashCode(): kotlin.Int {
var result = mlInputChannelArn.hashCode()
return result
}
override fun equals(other: kotlin.Any?): kotlin.Boolean {
if (this === other) return true
if (other == null || this::class != other::class) return false
other as ModelInferenceDataSource
if (mlInputChannelArn != other.mlInputChannelArn) return false
return true
}
public inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.cleanroomsml.model.ModelInferenceDataSource = Builder(this).apply(block).build()
@SdkDsl
public class Builder {
/**
* The Amazon Resource Name (ARN) of the ML input channel for this model inference data source.
*/
public var mlInputChannelArn: kotlin.String? = null
@PublishedApi
internal constructor()
@PublishedApi
internal constructor(x: aws.sdk.kotlin.services.cleanroomsml.model.ModelInferenceDataSource) : this() {
this.mlInputChannelArn = x.mlInputChannelArn
}
@PublishedApi
internal fun build(): aws.sdk.kotlin.services.cleanroomsml.model.ModelInferenceDataSource = ModelInferenceDataSource(this)
internal fun correctErrors(): Builder {
if (mlInputChannelArn == null) mlInputChannelArn = ""
return this
}
}
}