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

package aws.sdk.kotlin.services.codebuild.model

import aws.smithy.kotlin.runtime.SdkDsl

public class UpdateFleetRequest private constructor(builder: Builder) {
    /**
     * The ARN of the compute fleet.
     */
    public val arn: kotlin.String? = builder.arn
    /**
     * The initial number of machines allocated to the compute fleet, which defines the number of builds that can run in parallel.
     */
    public val baseCapacity: kotlin.Int? = builder.baseCapacity
    /**
     * The compute configuration of the compute fleet. This is only required if `computeType` is set to `ATTRIBUTE_BASED_COMPUTE`.
     */
    public val computeConfiguration: aws.sdk.kotlin.services.codebuild.model.ComputeConfiguration? = builder.computeConfiguration
    /**
     * Information about the compute resources the compute fleet uses. Available values include:
     * + `ATTRIBUTE_BASED_COMPUTE`: Specify the amount of vCPUs, memory, disk space, and the type of machine. If you use `ATTRIBUTE_BASED_COMPUTE`, you must define your attributes by using `computeConfiguration`. CodeBuild will select the cheapest instance that satisfies your specified attributes. For more information, see [Reserved capacity environment types](https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html#environment-reserved-capacity.types) in the *CodeBuild User Guide*.
     * + `BUILD_GENERAL1_SMALL`: Use up to 4 GiB memory and 2 vCPUs for builds.
     * + `BUILD_GENERAL1_MEDIUM`: Use up to 8 GiB memory and 4 vCPUs for builds.
     * + `BUILD_GENERAL1_LARGE`: Use up to 16 GiB memory and 8 vCPUs for builds, depending on your environment type.
     * + `BUILD_GENERAL1_XLARGE`: Use up to 72 GiB memory and 36 vCPUs for builds, depending on your environment type.
     * + `BUILD_GENERAL1_2XLARGE`: Use up to 144 GiB memory, 72 vCPUs, and 824 GB of SSD storage for builds. This compute type supports Docker images up to 100 GB uncompressed.
     * + `BUILD_LAMBDA_1GB`: Use up to 1 GiB memory for builds. Only available for environment type `LINUX_LAMBDA_CONTAINER` and `ARM_LAMBDA_CONTAINER`.
     * + `BUILD_LAMBDA_2GB`: Use up to 2 GiB memory for builds. Only available for environment type `LINUX_LAMBDA_CONTAINER` and `ARM_LAMBDA_CONTAINER`.
     * + `BUILD_LAMBDA_4GB`: Use up to 4 GiB memory for builds. Only available for environment type `LINUX_LAMBDA_CONTAINER` and `ARM_LAMBDA_CONTAINER`.
     * + `BUILD_LAMBDA_8GB`: Use up to 8 GiB memory for builds. Only available for environment type `LINUX_LAMBDA_CONTAINER` and `ARM_LAMBDA_CONTAINER`.
     * + `BUILD_LAMBDA_10GB`: Use up to 10 GiB memory for builds. Only available for environment type `LINUX_LAMBDA_CONTAINER` and `ARM_LAMBDA_CONTAINER`.
     *
     *  If you use `BUILD_GENERAL1_SMALL`:
     * +  For environment type `LINUX_CONTAINER`, you can use up to 4 GiB memory and 2 vCPUs for builds.
     * +  For environment type `LINUX_GPU_CONTAINER`, you can use up to 16 GiB memory, 4 vCPUs, and 1 NVIDIA A10G Tensor Core GPU for builds.
     * +  For environment type `ARM_CONTAINER`, you can use up to 4 GiB memory and 2 vCPUs on ARM-based processors for builds.
     *
     *  If you use `BUILD_GENERAL1_LARGE`:
     * +  For environment type `LINUX_CONTAINER`, you can use up to 16 GiB memory and 8 vCPUs for builds.
     * +  For environment type `LINUX_GPU_CONTAINER`, you can use up to 255 GiB memory, 32 vCPUs, and 4 NVIDIA Tesla V100 GPUs for builds.
     * +  For environment type `ARM_CONTAINER`, you can use up to 16 GiB memory and 8 vCPUs on ARM-based processors for builds.
     *
     * For more information, see [On-demand environment types](https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html#environment.types) in the *CodeBuild User Guide.*
     */
    public val computeType: aws.sdk.kotlin.services.codebuild.model.ComputeType? = builder.computeType
    /**
     * The environment type of the compute fleet.
     * + The environment type `ARM_CONTAINER` is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), EU (Frankfurt), and South America (São Paulo).
     * + The environment type `LINUX_CONTAINER` is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), South America (São Paulo), and Asia Pacific (Mumbai).
     * + The environment type `LINUX_GPU_CONTAINER` is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Sydney).
     * + The environment type `MAC_ARM` is available for Medium fleets only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Sydney), and EU (Frankfurt)
     * + The environment type `MAC_ARM` is available for Large fleets only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), and Asia Pacific (Sydney).
     * + The environment type `WINDOWS_SERVER_2019_CONTAINER` is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Mumbai) and EU (Ireland).
     * + The environment type `WINDOWS_SERVER_2022_CONTAINER` is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Tokyo), South America (São Paulo) and Asia Pacific (Mumbai).
     *
     * For more information, see [Build environment compute types](https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html) in the *CodeBuild user guide*.
     */
    public val environmentType: aws.sdk.kotlin.services.codebuild.model.EnvironmentType? = builder.environmentType
    /**
     * The service role associated with the compute fleet. For more information, see [ Allow a user to add a permission policy for a fleet service role](https://docs.aws.amazon.com/codebuild/latest/userguide/auth-and-access-control-iam-identity-based-access-control.html#customer-managed-policies-example-permission-policy-fleet-service-role.html) in the *CodeBuild User Guide*.
     */
    public val fleetServiceRole: kotlin.String? = builder.fleetServiceRole
    /**
     * The Amazon Machine Image (AMI) of the compute fleet.
     */
    public val imageId: kotlin.String? = builder.imageId
    /**
     * The compute fleet overflow behavior.
     * + For overflow behavior `QUEUE`, your overflow builds need to wait on the existing fleet instance to become available.
     * + For overflow behavior `ON_DEMAND`, your overflow builds run on CodeBuild on-demand.If you choose to set your overflow behavior to on-demand while creating a VPC-connected fleet, make sure that you add the required VPC permissions to your project service role. For more information, see [Example policy statement to allow CodeBuild access to Amazon Web Services services required to create a VPC network interface](https://docs.aws.amazon.com/codebuild/latest/userguide/auth-and-access-control-iam-identity-based-access-control.html#customer-managed-policies-example-create-vpc-network-interface).
     */
    public val overflowBehavior: aws.sdk.kotlin.services.codebuild.model.FleetOverflowBehavior? = builder.overflowBehavior
    /**
     * The proxy configuration of the compute fleet.
     */
    public val proxyConfiguration: aws.sdk.kotlin.services.codebuild.model.ProxyConfiguration? = builder.proxyConfiguration
    /**
     * The scaling configuration of the compute fleet.
     */
    public val scalingConfiguration: aws.sdk.kotlin.services.codebuild.model.ScalingConfigurationInput? = builder.scalingConfiguration
    /**
     * A list of tag key and value pairs associated with this compute fleet.
     *
     * These tags are available for use by Amazon Web Services services that support CodeBuild build project tags.
     */
    public val tags: List? = builder.tags
    /**
     * Information about the VPC configuration that CodeBuild accesses.
     */
    public val vpcConfig: aws.sdk.kotlin.services.codebuild.model.VpcConfig? = builder.vpcConfig

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

    override fun toString(): kotlin.String = buildString {
        append("UpdateFleetRequest(")
        append("arn=$arn,")
        append("baseCapacity=$baseCapacity,")
        append("computeConfiguration=$computeConfiguration,")
        append("computeType=$computeType,")
        append("environmentType=$environmentType,")
        append("fleetServiceRole=$fleetServiceRole,")
        append("imageId=$imageId,")
        append("overflowBehavior=$overflowBehavior,")
        append("proxyConfiguration=$proxyConfiguration,")
        append("scalingConfiguration=$scalingConfiguration,")
        append("tags=$tags,")
        append("vpcConfig=$vpcConfig")
        append(")")
    }

    override fun hashCode(): kotlin.Int {
        var result = arn?.hashCode() ?: 0
        result = 31 * result + (baseCapacity ?: 0)
        result = 31 * result + (computeConfiguration?.hashCode() ?: 0)
        result = 31 * result + (computeType?.hashCode() ?: 0)
        result = 31 * result + (environmentType?.hashCode() ?: 0)
        result = 31 * result + (fleetServiceRole?.hashCode() ?: 0)
        result = 31 * result + (imageId?.hashCode() ?: 0)
        result = 31 * result + (overflowBehavior?.hashCode() ?: 0)
        result = 31 * result + (proxyConfiguration?.hashCode() ?: 0)
        result = 31 * result + (scalingConfiguration?.hashCode() ?: 0)
        result = 31 * result + (tags?.hashCode() ?: 0)
        result = 31 * result + (vpcConfig?.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 UpdateFleetRequest

        if (arn != other.arn) return false
        if (baseCapacity != other.baseCapacity) return false
        if (computeConfiguration != other.computeConfiguration) return false
        if (computeType != other.computeType) return false
        if (environmentType != other.environmentType) return false
        if (fleetServiceRole != other.fleetServiceRole) return false
        if (imageId != other.imageId) return false
        if (overflowBehavior != other.overflowBehavior) return false
        if (proxyConfiguration != other.proxyConfiguration) return false
        if (scalingConfiguration != other.scalingConfiguration) return false
        if (tags != other.tags) return false
        if (vpcConfig != other.vpcConfig) return false

        return true
    }

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

    @SdkDsl
    public class Builder {
        /**
         * The ARN of the compute fleet.
         */
        public var arn: kotlin.String? = null
        /**
         * The initial number of machines allocated to the compute fleet, which defines the number of builds that can run in parallel.
         */
        public var baseCapacity: kotlin.Int? = null
        /**
         * The compute configuration of the compute fleet. This is only required if `computeType` is set to `ATTRIBUTE_BASED_COMPUTE`.
         */
        public var computeConfiguration: aws.sdk.kotlin.services.codebuild.model.ComputeConfiguration? = null
        /**
         * Information about the compute resources the compute fleet uses. Available values include:
         * + `ATTRIBUTE_BASED_COMPUTE`: Specify the amount of vCPUs, memory, disk space, and the type of machine. If you use `ATTRIBUTE_BASED_COMPUTE`, you must define your attributes by using `computeConfiguration`. CodeBuild will select the cheapest instance that satisfies your specified attributes. For more information, see [Reserved capacity environment types](https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html#environment-reserved-capacity.types) in the *CodeBuild User Guide*.
         * + `BUILD_GENERAL1_SMALL`: Use up to 4 GiB memory and 2 vCPUs for builds.
         * + `BUILD_GENERAL1_MEDIUM`: Use up to 8 GiB memory and 4 vCPUs for builds.
         * + `BUILD_GENERAL1_LARGE`: Use up to 16 GiB memory and 8 vCPUs for builds, depending on your environment type.
         * + `BUILD_GENERAL1_XLARGE`: Use up to 72 GiB memory and 36 vCPUs for builds, depending on your environment type.
         * + `BUILD_GENERAL1_2XLARGE`: Use up to 144 GiB memory, 72 vCPUs, and 824 GB of SSD storage for builds. This compute type supports Docker images up to 100 GB uncompressed.
         * + `BUILD_LAMBDA_1GB`: Use up to 1 GiB memory for builds. Only available for environment type `LINUX_LAMBDA_CONTAINER` and `ARM_LAMBDA_CONTAINER`.
         * + `BUILD_LAMBDA_2GB`: Use up to 2 GiB memory for builds. Only available for environment type `LINUX_LAMBDA_CONTAINER` and `ARM_LAMBDA_CONTAINER`.
         * + `BUILD_LAMBDA_4GB`: Use up to 4 GiB memory for builds. Only available for environment type `LINUX_LAMBDA_CONTAINER` and `ARM_LAMBDA_CONTAINER`.
         * + `BUILD_LAMBDA_8GB`: Use up to 8 GiB memory for builds. Only available for environment type `LINUX_LAMBDA_CONTAINER` and `ARM_LAMBDA_CONTAINER`.
         * + `BUILD_LAMBDA_10GB`: Use up to 10 GiB memory for builds. Only available for environment type `LINUX_LAMBDA_CONTAINER` and `ARM_LAMBDA_CONTAINER`.
         *
         *  If you use `BUILD_GENERAL1_SMALL`:
         * +  For environment type `LINUX_CONTAINER`, you can use up to 4 GiB memory and 2 vCPUs for builds.
         * +  For environment type `LINUX_GPU_CONTAINER`, you can use up to 16 GiB memory, 4 vCPUs, and 1 NVIDIA A10G Tensor Core GPU for builds.
         * +  For environment type `ARM_CONTAINER`, you can use up to 4 GiB memory and 2 vCPUs on ARM-based processors for builds.
         *
         *  If you use `BUILD_GENERAL1_LARGE`:
         * +  For environment type `LINUX_CONTAINER`, you can use up to 16 GiB memory and 8 vCPUs for builds.
         * +  For environment type `LINUX_GPU_CONTAINER`, you can use up to 255 GiB memory, 32 vCPUs, and 4 NVIDIA Tesla V100 GPUs for builds.
         * +  For environment type `ARM_CONTAINER`, you can use up to 16 GiB memory and 8 vCPUs on ARM-based processors for builds.
         *
         * For more information, see [On-demand environment types](https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html#environment.types) in the *CodeBuild User Guide.*
         */
        public var computeType: aws.sdk.kotlin.services.codebuild.model.ComputeType? = null
        /**
         * The environment type of the compute fleet.
         * + The environment type `ARM_CONTAINER` is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), EU (Frankfurt), and South America (São Paulo).
         * + The environment type `LINUX_CONTAINER` is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), South America (São Paulo), and Asia Pacific (Mumbai).
         * + The environment type `LINUX_GPU_CONTAINER` is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Sydney).
         * + The environment type `MAC_ARM` is available for Medium fleets only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Sydney), and EU (Frankfurt)
         * + The environment type `MAC_ARM` is available for Large fleets only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), and Asia Pacific (Sydney).
         * + The environment type `WINDOWS_SERVER_2019_CONTAINER` is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Mumbai) and EU (Ireland).
         * + The environment type `WINDOWS_SERVER_2022_CONTAINER` is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Tokyo), South America (São Paulo) and Asia Pacific (Mumbai).
         *
         * For more information, see [Build environment compute types](https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html) in the *CodeBuild user guide*.
         */
        public var environmentType: aws.sdk.kotlin.services.codebuild.model.EnvironmentType? = null
        /**
         * The service role associated with the compute fleet. For more information, see [ Allow a user to add a permission policy for a fleet service role](https://docs.aws.amazon.com/codebuild/latest/userguide/auth-and-access-control-iam-identity-based-access-control.html#customer-managed-policies-example-permission-policy-fleet-service-role.html) in the *CodeBuild User Guide*.
         */
        public var fleetServiceRole: kotlin.String? = null
        /**
         * The Amazon Machine Image (AMI) of the compute fleet.
         */
        public var imageId: kotlin.String? = null
        /**
         * The compute fleet overflow behavior.
         * + For overflow behavior `QUEUE`, your overflow builds need to wait on the existing fleet instance to become available.
         * + For overflow behavior `ON_DEMAND`, your overflow builds run on CodeBuild on-demand.If you choose to set your overflow behavior to on-demand while creating a VPC-connected fleet, make sure that you add the required VPC permissions to your project service role. For more information, see [Example policy statement to allow CodeBuild access to Amazon Web Services services required to create a VPC network interface](https://docs.aws.amazon.com/codebuild/latest/userguide/auth-and-access-control-iam-identity-based-access-control.html#customer-managed-policies-example-create-vpc-network-interface).
         */
        public var overflowBehavior: aws.sdk.kotlin.services.codebuild.model.FleetOverflowBehavior? = null
        /**
         * The proxy configuration of the compute fleet.
         */
        public var proxyConfiguration: aws.sdk.kotlin.services.codebuild.model.ProxyConfiguration? = null
        /**
         * The scaling configuration of the compute fleet.
         */
        public var scalingConfiguration: aws.sdk.kotlin.services.codebuild.model.ScalingConfigurationInput? = null
        /**
         * A list of tag key and value pairs associated with this compute fleet.
         *
         * These tags are available for use by Amazon Web Services services that support CodeBuild build project tags.
         */
        public var tags: List? = null
        /**
         * Information about the VPC configuration that CodeBuild accesses.
         */
        public var vpcConfig: aws.sdk.kotlin.services.codebuild.model.VpcConfig? = null

        @PublishedApi
        internal constructor()
        @PublishedApi
        internal constructor(x: aws.sdk.kotlin.services.codebuild.model.UpdateFleetRequest) : this() {
            this.arn = x.arn
            this.baseCapacity = x.baseCapacity
            this.computeConfiguration = x.computeConfiguration
            this.computeType = x.computeType
            this.environmentType = x.environmentType
            this.fleetServiceRole = x.fleetServiceRole
            this.imageId = x.imageId
            this.overflowBehavior = x.overflowBehavior
            this.proxyConfiguration = x.proxyConfiguration
            this.scalingConfiguration = x.scalingConfiguration
            this.tags = x.tags
            this.vpcConfig = x.vpcConfig
        }

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

        /**
         * construct an [aws.sdk.kotlin.services.codebuild.model.ComputeConfiguration] inside the given [block]
         */
        public fun computeConfiguration(block: aws.sdk.kotlin.services.codebuild.model.ComputeConfiguration.Builder.() -> kotlin.Unit) {
            this.computeConfiguration = aws.sdk.kotlin.services.codebuild.model.ComputeConfiguration.invoke(block)
        }

        /**
         * construct an [aws.sdk.kotlin.services.codebuild.model.ProxyConfiguration] inside the given [block]
         */
        public fun proxyConfiguration(block: aws.sdk.kotlin.services.codebuild.model.ProxyConfiguration.Builder.() -> kotlin.Unit) {
            this.proxyConfiguration = aws.sdk.kotlin.services.codebuild.model.ProxyConfiguration.invoke(block)
        }

        /**
         * construct an [aws.sdk.kotlin.services.codebuild.model.ScalingConfigurationInput] inside the given [block]
         */
        public fun scalingConfiguration(block: aws.sdk.kotlin.services.codebuild.model.ScalingConfigurationInput.Builder.() -> kotlin.Unit) {
            this.scalingConfiguration = aws.sdk.kotlin.services.codebuild.model.ScalingConfigurationInput.invoke(block)
        }

        /**
         * construct an [aws.sdk.kotlin.services.codebuild.model.VpcConfig] inside the given [block]
         */
        public fun vpcConfig(block: aws.sdk.kotlin.services.codebuild.model.VpcConfig.Builder.() -> kotlin.Unit) {
            this.vpcConfig = aws.sdk.kotlin.services.codebuild.model.VpcConfig.invoke(block)
        }

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




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