commonMain.aws.sdk.kotlin.services.rekognition.model.StartProjectVersionRequest.kt Maven / Gradle / Ivy

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// Code generated by smithy-kotlin-codegen. DO NOT EDIT!

package aws.sdk.kotlin.services.rekognition.model

import aws.smithy.kotlin.runtime.SdkDsl

public class StartProjectVersionRequest private constructor(builder: Builder) {
    /**
     * The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Rekognition Custom Labels doesn't auto-scale the model.
     */
    public val maxInferenceUnits: kotlin.Int? = builder.maxInferenceUnits
    /**
     * The minimum number of inference units to use. A single inference unit represents 1 hour of processing.
     *
     * Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.
     */
    public val minInferenceUnits: kotlin.Int? = builder.minInferenceUnits
    /**
     * The Amazon Resource Name(ARN) of the model version that you want to start.
     */
    public val projectVersionArn: kotlin.String? = builder.projectVersionArn

    public companion object {
        public operator fun invoke(block: Builder.() -> kotlin.Unit): aws.sdk.kotlin.services.rekognition.model.StartProjectVersionRequest = Builder().apply(block).build()
    }

    override fun toString(): kotlin.String = buildString {
        append("StartProjectVersionRequest(")
        append("maxInferenceUnits=$maxInferenceUnits,")
        append("minInferenceUnits=$minInferenceUnits,")
        append("projectVersionArn=$projectVersionArn")
        append(")")
    }

    override fun hashCode(): kotlin.Int {
        var result = maxInferenceUnits ?: 0
        result = 31 * result + (minInferenceUnits ?: 0)
        result = 31 * result + (projectVersionArn?.hashCode() ?: 0)
        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 StartProjectVersionRequest

        if (maxInferenceUnits != other.maxInferenceUnits) return false
        if (minInferenceUnits != other.minInferenceUnits) return false
        if (projectVersionArn != other.projectVersionArn) return false

        return true
    }

    public inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.rekognition.model.StartProjectVersionRequest = Builder(this).apply(block).build()

    @SdkDsl
    public class Builder {
        /**
         * The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Rekognition Custom Labels doesn't auto-scale the model.
         */
        public var maxInferenceUnits: kotlin.Int? = null
        /**
         * The minimum number of inference units to use. A single inference unit represents 1 hour of processing.
         *
         * Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.
         */
        public var minInferenceUnits: kotlin.Int? = null
        /**
         * The Amazon Resource Name(ARN) of the model version that you want to start.
         */
        public var projectVersionArn: kotlin.String? = null

        @PublishedApi
        internal constructor()
        @PublishedApi
        internal constructor(x: aws.sdk.kotlin.services.rekognition.model.StartProjectVersionRequest) : this() {
            this.maxInferenceUnits = x.maxInferenceUnits
            this.minInferenceUnits = x.minInferenceUnits
            this.projectVersionArn = x.projectVersionArn
        }

        @PublishedApi
        internal fun build(): aws.sdk.kotlin.services.rekognition.model.StartProjectVersionRequest = StartProjectVersionRequest(this)

        internal fun correctErrors(): Builder {
            return this
        }
    }
}