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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.

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@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.awsnative.sagemaker.kotlin

import com.pulumi.awsnative.kotlin.outputs.Tag
import com.pulumi.awsnative.sagemaker.kotlin.enums.InferenceExperimentDesiredState
import com.pulumi.awsnative.sagemaker.kotlin.enums.InferenceExperimentStatus
import com.pulumi.awsnative.sagemaker.kotlin.enums.InferenceExperimentType
import com.pulumi.awsnative.sagemaker.kotlin.outputs.InferenceExperimentDataStorageConfig
import com.pulumi.awsnative.sagemaker.kotlin.outputs.InferenceExperimentEndpointMetadata
import com.pulumi.awsnative.sagemaker.kotlin.outputs.InferenceExperimentModelVariantConfig
import com.pulumi.awsnative.sagemaker.kotlin.outputs.InferenceExperimentSchedule
import com.pulumi.awsnative.sagemaker.kotlin.outputs.InferenceExperimentShadowModeConfig
import com.pulumi.core.Output
import com.pulumi.kotlin.KotlinCustomResource
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.ResourceMapper
import com.pulumi.kotlin.options.CustomResourceOptions
import com.pulumi.kotlin.options.CustomResourceOptionsBuilder
import com.pulumi.resources.Resource
import kotlin.Boolean
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.List
import com.pulumi.awsnative.kotlin.outputs.Tag.Companion.toKotlin as tagToKotlin
import com.pulumi.awsnative.sagemaker.kotlin.enums.InferenceExperimentDesiredState.Companion.toKotlin as inferenceExperimentDesiredStateToKotlin
import com.pulumi.awsnative.sagemaker.kotlin.enums.InferenceExperimentStatus.Companion.toKotlin as inferenceExperimentStatusToKotlin
import com.pulumi.awsnative.sagemaker.kotlin.enums.InferenceExperimentType.Companion.toKotlin as inferenceExperimentTypeToKotlin
import com.pulumi.awsnative.sagemaker.kotlin.outputs.InferenceExperimentDataStorageConfig.Companion.toKotlin as inferenceExperimentDataStorageConfigToKotlin
import com.pulumi.awsnative.sagemaker.kotlin.outputs.InferenceExperimentEndpointMetadata.Companion.toKotlin as inferenceExperimentEndpointMetadataToKotlin
import com.pulumi.awsnative.sagemaker.kotlin.outputs.InferenceExperimentModelVariantConfig.Companion.toKotlin as inferenceExperimentModelVariantConfigToKotlin
import com.pulumi.awsnative.sagemaker.kotlin.outputs.InferenceExperimentSchedule.Companion.toKotlin as inferenceExperimentScheduleToKotlin
import com.pulumi.awsnative.sagemaker.kotlin.outputs.InferenceExperimentShadowModeConfig.Companion.toKotlin as inferenceExperimentShadowModeConfigToKotlin

/**
 * Builder for [InferenceExperiment].
 */
@PulumiTagMarker
public class InferenceExperimentResourceBuilder internal constructor() {
    public var name: String? = null

    public var args: InferenceExperimentArgs = InferenceExperimentArgs()

    public var opts: CustomResourceOptions = CustomResourceOptions()

    /**
     * @param name The _unique_ name of the resulting resource.
     */
    public fun name(`value`: String) {
        this.name = value
    }

    /**
     * @param block The arguments to use to populate this resource's properties.
     */
    public suspend fun args(block: suspend InferenceExperimentArgsBuilder.() -> Unit) {
        val builder = InferenceExperimentArgsBuilder()
        block(builder)
        this.args = builder.build()
    }

    /**
     * @param block A bag of options that control this resource's behavior.
     */
    public suspend fun opts(block: suspend CustomResourceOptionsBuilder.() -> Unit) {
        this.opts = com.pulumi.kotlin.options.CustomResourceOptions.opts(block)
    }

    internal fun build(): InferenceExperiment {
        val builtJavaResource =
            com.pulumi.awsnative.sagemaker.InferenceExperiment(
                this.name,
                this.args.toJava(),
                this.opts.toJava(),
            )
        return InferenceExperiment(builtJavaResource)
    }
}

/**
 * Resource Type definition for AWS::SageMaker::InferenceExperiment
 */
public class InferenceExperiment internal constructor(
    override val javaResource: com.pulumi.awsnative.sagemaker.InferenceExperiment,
) : KotlinCustomResource(javaResource, InferenceExperimentMapper) {
    /**
     * The Amazon Resource Name (ARN) of the inference experiment.
     */
    public val arn: Output
        get() = javaResource.arn().applyValue({ args0 -> args0 })

    /**
     * The timestamp at which you created the inference experiment.
     */
    public val creationTime: Output
        get() = javaResource.creationTime().applyValue({ args0 -> args0 })

    /**
     * The Amazon S3 location and configuration for storing inference request and response data.
     */
    public val dataStorageConfig: Output?
        get() = javaResource.dataStorageConfig().applyValue({ args0 ->
            args0.map({ args0 ->
                args0.let({ args0 -> inferenceExperimentDataStorageConfigToKotlin(args0) })
            }).orElse(null)
        })

    /**
     * The description of the inference experiment.
     */
    public val description: Output?
        get() = javaResource.description().applyValue({ args0 ->
            args0.map({ args0 ->
                args0
            }).orElse(null)
        })

    /**
     * The desired state of the experiment after starting or stopping operation.
     */
    public val desiredState: Output?
        get() = javaResource.desiredState().applyValue({ args0 ->
            args0.map({ args0 ->
                args0.let({ args0 ->
                    inferenceExperimentDesiredStateToKotlin(args0)
                })
            }).orElse(null)
        })

    public val endpointMetadata: Output
        get() = javaResource.endpointMetadata().applyValue({ args0 ->
            args0.let({ args0 ->
                inferenceExperimentEndpointMetadataToKotlin(args0)
            })
        })

    /**
     * The name of the endpoint.
     */
    public val endpointName: Output
        get() = javaResource.endpointName().applyValue({ args0 -> args0 })

    /**
     * The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
     */
    public val kmsKey: Output?
        get() = javaResource.kmsKey().applyValue({ args0 -> args0.map({ args0 -> args0 }).orElse(null) })

    /**
     * The timestamp at which you last modified the inference experiment.
     */
    public val lastModifiedTime: Output
        get() = javaResource.lastModifiedTime().applyValue({ args0 -> args0 })

    /**
     * An array of ModelVariantConfig objects. Each ModelVariantConfig object in the array describes the infrastructure configuration for the corresponding variant.
     */
    public val modelVariants: Output>
        get() = javaResource.modelVariants().applyValue({ args0 ->
            args0.map({ args0 ->
                args0.let({ args0 -> inferenceExperimentModelVariantConfigToKotlin(args0) })
            })
        })

    /**
     * The name for the inference experiment.
     */
    public val name: Output
        get() = javaResource.name().applyValue({ args0 -> args0 })

    /**
     * The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
     */
    public val roleArn: Output
        get() = javaResource.roleArn().applyValue({ args0 -> args0 })

    /**
     * The duration for which the inference experiment ran or will run.
     * The maximum duration that you can set for an inference experiment is 30 days.
     */
    public val schedule: Output?
        get() = javaResource.schedule().applyValue({ args0 ->
            args0.map({ args0 ->
                args0.let({ args0 ->
                    inferenceExperimentScheduleToKotlin(args0)
                })
            }).orElse(null)
        })

    /**
     * The configuration of `ShadowMode` inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also shows the percentage of requests that Amazon SageMaker replicates.
     */
    public val shadowModeConfig: Output?
        get() = javaResource.shadowModeConfig().applyValue({ args0 ->
            args0.map({ args0 ->
                args0.let({ args0 -> inferenceExperimentShadowModeConfigToKotlin(args0) })
            }).orElse(null)
        })

    /**
     * The status of the inference experiment.
     */
    public val status: Output
        get() = javaResource.status().applyValue({ args0 ->
            args0.let({ args0 ->
                inferenceExperimentStatusToKotlin(args0)
            })
        })

    /**
     * The error message or client-specified reason from the StopInferenceExperiment API, that explains the status of the inference experiment.
     */
    public val statusReason: Output?
        get() = javaResource.statusReason().applyValue({ args0 ->
            args0.map({ args0 ->
                args0
            }).orElse(null)
        })

    /**
     * An array of key-value pairs to apply to this resource.
     */
    public val tags: Output>?
        get() = javaResource.tags().applyValue({ args0 ->
            args0.map({ args0 ->
                args0.map({ args0 ->
                    args0.let({ args0 -> tagToKotlin(args0) })
                })
            }).orElse(null)
        })

    /**
     * The type of the inference experiment that you want to run.
     */
    public val type: Output
        get() = javaResource.type().applyValue({ args0 ->
            args0.let({ args0 ->
                inferenceExperimentTypeToKotlin(args0)
            })
        })
}

public object InferenceExperimentMapper : ResourceMapper {
    override fun supportsMappingOfType(javaResource: Resource): Boolean =
        com.pulumi.awsnative.sagemaker.InferenceExperiment::class == javaResource::class

    override fun map(javaResource: Resource): InferenceExperiment = InferenceExperiment(
        javaResource
            as com.pulumi.awsnative.sagemaker.InferenceExperiment,
    )
}

/**
 * @see [InferenceExperiment].
 * @param name The _unique_ name of the resulting resource.
 * @param block Builder for [InferenceExperiment].
 */
public suspend fun inferenceExperiment(
    name: String,
    block: suspend InferenceExperimentResourceBuilder.() -> Unit,
): InferenceExperiment {
    val builder = InferenceExperimentResourceBuilder()
    builder.name(name)
    block(builder)
    return builder.build()
}

/**
 * @see [InferenceExperiment].
 * @param name The _unique_ name of the resulting resource.
 */
public fun inferenceExperiment(name: String): InferenceExperiment {
    val builder = InferenceExperimentResourceBuilder()
    builder.name(name)
    return builder.build()
}




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