text:
# This file is auto-generated by AWSMetadata.jl
using AWS
using AWS.AWSServices: application_auto_scaling
using AWS.Compat
using AWS.UUIDs

"""
    delete_scaling_policy(policy_name, resource_id, scalable_dimension, service_namespace)
    delete_scaling_policy(policy_name, resource_id, scalable_dimension, service_namespace, params::Dict{String,<:Any})

Deletes the specified scaling policy for an Application Auto Scaling scalable target.
Deleting a step scaling policy deletes the underlying alarm action, but does not delete the
CloudWatch alarm associated with the scaling policy, even if it no longer has an associated
action. For more information, see Delete a step scaling policy and Delete a target tracking
scaling policy in the Application Auto Scaling User Guide.

# Arguments
- `policy_name`: The name of the scaling policy.
- `resource_id`: The identifier of the resource associated with the scalable target. This
  string consists of the resource type and unique identifier.   ECS service - The resource
  type is service and the unique identifier is the cluster name and service name. Example:
  service/default/sample-webapp.   Spot Fleet - The resource type is spot-fleet-request and
  the unique identifier is the Spot Fleet request ID. Example:
  spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.   EMR cluster - The resource
  type is instancegroup and the unique identifier is the cluster ID and instance group ID.
  Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.   AppStream 2.0 fleet - The
  resource type is fleet and the unique identifier is the fleet name. Example:
  fleet/sample-fleet.   DynamoDB table - The resource type is table and the unique identifier
  is the table name. Example: table/my-table.   DynamoDB global secondary index - The
  resource type is index and the unique identifier is the index name. Example:
  table/my-table/index/my-table-index.   Aurora DB cluster - The resource type is cluster and
  the unique identifier is the cluster name. Example: cluster:my-db-cluster.   SageMaker
  endpoint variant - The resource type is variant and the unique identifier is the resource
  ID. Example: endpoint/my-end-point/variant/KMeansClustering.   Custom resources are not
  supported with a resource type. This parameter must specify the OutputValue from the
  CloudFormation template stack used to access the resources. The unique identifier is
  defined by the service provider. More information is available in our GitHub repository.
  Amazon Comprehend document classification endpoint - The resource type and unique
  identifier are specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.   Amazon
  Comprehend entity recognizer endpoint - The resource type and unique identifier are
  specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.   Lambda
  provisioned concurrency - The resource type is function and the unique identifier is the
  function name with a function version or alias name suffix that is not LATEST. Example:
  function:my-function:prod or function:my-function:1.   Amazon Keyspaces table - The
  resource type is table and the unique identifier is the table name. Example:
  keyspace/mykeyspace/table/mytable.   Amazon MSK cluster - The resource type and unique
  identifier are specified using the cluster ARN. Example:
  arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c
  2e31-5.   Amazon ElastiCache replication group - The resource type is replication-group and
  the unique identifier is the replication group name. Example: replication-group/mycluster.
   Neptune cluster - The resource type is cluster and the unique identifier is the cluster
  name. Example: cluster:mycluster.
- `scalable_dimension`: The scalable dimension. This string consists of the service
  namespace, resource type, and scaling property.    ecs:service:DesiredCount - The desired
  task count of an ECS service.    elasticmapreduce:instancegroup:InstanceCount - The
  instance count of an EMR Instance Group.    ec2:spot-fleet-request:TargetCapacity - The
  target capacity of a Spot Fleet.    appstream:fleet:DesiredCapacity - The desired capacity
  of an AppStream 2.0 fleet.    dynamodb:table:ReadCapacityUnits - The provisioned read
  capacity for a DynamoDB table.    dynamodb:table:WriteCapacityUnits - The provisioned write
  capacity for a DynamoDB table.    dynamodb:index:ReadCapacityUnits - The provisioned read
  capacity for a DynamoDB global secondary index.    dynamodb:index:WriteCapacityUnits - The
  provisioned write capacity for a DynamoDB global secondary index.
  rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster.
  Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
  sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an SageMaker model
  endpoint variant.    custom-resource:ResourceType:Property - The scalable dimension for a
  custom resource provided by your own application or service.
  comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference
  units for an Amazon Comprehend document classification endpoint.
  comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units
  for an Amazon Comprehend entity recognizer endpoint.
  lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
     cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon
  Keyspaces table.    cassandra:table:WriteCapacityUnits - The provisioned write capacity for
  an Amazon Keyspaces table.    kafka:broker-storage:VolumeSize - The provisioned volume size
  (in GiB) for brokers in an Amazon MSK cluster.    elasticache:replication-group:NodeGroups
  - The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an
  Amazon ElastiCache replication group.    neptune:cluster:ReadReplicaCount - The count of
  read replicas in an Amazon Neptune DB cluster.
- `service_namespace`: The namespace of the Amazon Web Services service that provides the
  resource. For a resource provided by your own application or service, use custom-resource
  instead.

"""
function delete_scaling_policy(
    PolicyName,
    ResourceId,
    ScalableDimension,
    ServiceNamespace;
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "DeleteScalingPolicy",
        Dict{String,Any}(
            "PolicyName" => PolicyName,
            "ResourceId" => ResourceId,
            "ScalableDimension" => ScalableDimension,
            "ServiceNamespace" => ServiceNamespace,
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function delete_scaling_policy(
    PolicyName,
    ResourceId,
    ScalableDimension,
    ServiceNamespace,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "DeleteScalingPolicy",
        Dict{String,Any}(
            mergewith(
                _merge,
                Dict{String,Any}(
                    "PolicyName" => PolicyName,
                    "ResourceId" => ResourceId,
                    "ScalableDimension" => ScalableDimension,
                    "ServiceNamespace" => ServiceNamespace,
                ),
                params,
            ),
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    delete_scheduled_action(resource_id, scalable_dimension, scheduled_action_name, service_namespace)
    delete_scheduled_action(resource_id, scalable_dimension, scheduled_action_name, service_namespace, params::Dict{String,<:Any})

Deletes the specified scheduled action for an Application Auto Scaling scalable target. For
more information, see Delete a scheduled action in the Application Auto Scaling User Guide.

# Arguments
- `resource_id`: The identifier of the resource associated with the scheduled action. This
  string consists of the resource type and unique identifier.   ECS service - The resource
  type is service and the unique identifier is the cluster name and service name. Example:
  service/default/sample-webapp.   Spot Fleet - The resource type is spot-fleet-request and
  the unique identifier is the Spot Fleet request ID. Example:
  spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.   EMR cluster - The resource
  type is instancegroup and the unique identifier is the cluster ID and instance group ID.
  Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.   AppStream 2.0 fleet - The
  resource type is fleet and the unique identifier is the fleet name. Example:
  fleet/sample-fleet.   DynamoDB table - The resource type is table and the unique identifier
  is the table name. Example: table/my-table.   DynamoDB global secondary index - The
  resource type is index and the unique identifier is the index name. Example:
  table/my-table/index/my-table-index.   Aurora DB cluster - The resource type is cluster and
  the unique identifier is the cluster name. Example: cluster:my-db-cluster.   SageMaker
  endpoint variant - The resource type is variant and the unique identifier is the resource
  ID. Example: endpoint/my-end-point/variant/KMeansClustering.   Custom resources are not
  supported with a resource type. This parameter must specify the OutputValue from the
  CloudFormation template stack used to access the resources. The unique identifier is
  defined by the service provider. More information is available in our GitHub repository.
  Amazon Comprehend document classification endpoint - The resource type and unique
  identifier are specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.   Amazon
  Comprehend entity recognizer endpoint - The resource type and unique identifier are
  specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.   Lambda
  provisioned concurrency - The resource type is function and the unique identifier is the
  function name with a function version or alias name suffix that is not LATEST. Example:
  function:my-function:prod or function:my-function:1.   Amazon Keyspaces table - The
  resource type is table and the unique identifier is the table name. Example:
  keyspace/mykeyspace/table/mytable.   Amazon MSK cluster - The resource type and unique
  identifier are specified using the cluster ARN. Example:
  arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c
  2e31-5.   Amazon ElastiCache replication group - The resource type is replication-group and
  the unique identifier is the replication group name. Example: replication-group/mycluster.
   Neptune cluster - The resource type is cluster and the unique identifier is the cluster
  name. Example: cluster:mycluster.
- `scalable_dimension`: The scalable dimension. This string consists of the service
  namespace, resource type, and scaling property.    ecs:service:DesiredCount - The desired
  task count of an ECS service.    elasticmapreduce:instancegroup:InstanceCount - The
  instance count of an EMR Instance Group.    ec2:spot-fleet-request:TargetCapacity - The
  target capacity of a Spot Fleet.    appstream:fleet:DesiredCapacity - The desired capacity
  of an AppStream 2.0 fleet.    dynamodb:table:ReadCapacityUnits - The provisioned read
  capacity for a DynamoDB table.    dynamodb:table:WriteCapacityUnits - The provisioned write
  capacity for a DynamoDB table.    dynamodb:index:ReadCapacityUnits - The provisioned read
  capacity for a DynamoDB global secondary index.    dynamodb:index:WriteCapacityUnits - The
  provisioned write capacity for a DynamoDB global secondary index.
  rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster.
  Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
  sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an SageMaker model
  endpoint variant.    custom-resource:ResourceType:Property - The scalable dimension for a
  custom resource provided by your own application or service.
  comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference
  units for an Amazon Comprehend document classification endpoint.
  comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units
  for an Amazon Comprehend entity recognizer endpoint.
  lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
     cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon
  Keyspaces table.    cassandra:table:WriteCapacityUnits - The provisioned write capacity for
  an Amazon Keyspaces table.    kafka:broker-storage:VolumeSize - The provisioned volume size
  (in GiB) for brokers in an Amazon MSK cluster.    elasticache:replication-group:NodeGroups
  - The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an
  Amazon ElastiCache replication group.    neptune:cluster:ReadReplicaCount - The count of
  read replicas in an Amazon Neptune DB cluster.
- `scheduled_action_name`: The name of the scheduled action.
- `service_namespace`: The namespace of the Amazon Web Services service that provides the
  resource. For a resource provided by your own application or service, use custom-resource
  instead.

"""
function delete_scheduled_action(
    ResourceId,
    ScalableDimension,
    ScheduledActionName,
    ServiceNamespace;
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "DeleteScheduledAction",
        Dict{String,Any}(
            "ResourceId" => ResourceId,
            "ScalableDimension" => ScalableDimension,
            "ScheduledActionName" => ScheduledActionName,
            "ServiceNamespace" => ServiceNamespace,
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function delete_scheduled_action(
    ResourceId,
    ScalableDimension,
    ScheduledActionName,
    ServiceNamespace,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "DeleteScheduledAction",
        Dict{String,Any}(
            mergewith(
                _merge,
                Dict{String,Any}(
                    "ResourceId" => ResourceId,
                    "ScalableDimension" => ScalableDimension,
                    "ScheduledActionName" => ScheduledActionName,
                    "ServiceNamespace" => ServiceNamespace,
                ),
                params,
            ),
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    deregister_scalable_target(resource_id, scalable_dimension, service_namespace)
    deregister_scalable_target(resource_id, scalable_dimension, service_namespace, params::Dict{String,<:Any})

Deregisters an Application Auto Scaling scalable target when you have finished using it. To
see which resources have been registered, use DescribeScalableTargets.   Deregistering a
scalable target deletes the scaling policies and the scheduled actions that are associated
with it.

# Arguments
- `resource_id`: The identifier of the resource associated with the scalable target. This
  string consists of the resource type and unique identifier.   ECS service - The resource
  type is service and the unique identifier is the cluster name and service name. Example:
  service/default/sample-webapp.   Spot Fleet - The resource type is spot-fleet-request and
  the unique identifier is the Spot Fleet request ID. Example:
  spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.   EMR cluster - The resource
  type is instancegroup and the unique identifier is the cluster ID and instance group ID.
  Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.   AppStream 2.0 fleet - The
  resource type is fleet and the unique identifier is the fleet name. Example:
  fleet/sample-fleet.   DynamoDB table - The resource type is table and the unique identifier
  is the table name. Example: table/my-table.   DynamoDB global secondary index - The
  resource type is index and the unique identifier is the index name. Example:
  table/my-table/index/my-table-index.   Aurora DB cluster - The resource type is cluster and
  the unique identifier is the cluster name. Example: cluster:my-db-cluster.   SageMaker
  endpoint variant - The resource type is variant and the unique identifier is the resource
  ID. Example: endpoint/my-end-point/variant/KMeansClustering.   Custom resources are not
  supported with a resource type. This parameter must specify the OutputValue from the
  CloudFormation template stack used to access the resources. The unique identifier is
  defined by the service provider. More information is available in our GitHub repository.
  Amazon Comprehend document classification endpoint - The resource type and unique
  identifier are specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.   Amazon
  Comprehend entity recognizer endpoint - The resource type and unique identifier are
  specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.   Lambda
  provisioned concurrency - The resource type is function and the unique identifier is the
  function name with a function version or alias name suffix that is not LATEST. Example:
  function:my-function:prod or function:my-function:1.   Amazon Keyspaces table - The
  resource type is table and the unique identifier is the table name. Example:
  keyspace/mykeyspace/table/mytable.   Amazon MSK cluster - The resource type and unique
  identifier are specified using the cluster ARN. Example:
  arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c
  2e31-5.   Amazon ElastiCache replication group - The resource type is replication-group and
  the unique identifier is the replication group name. Example: replication-group/mycluster.
   Neptune cluster - The resource type is cluster and the unique identifier is the cluster
  name. Example: cluster:mycluster.
- `scalable_dimension`: The scalable dimension associated with the scalable target. This
  string consists of the service namespace, resource type, and scaling property.
  ecs:service:DesiredCount - The desired task count of an ECS service.
  elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
     ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet.
  appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
  dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
  dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
  dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global
  secondary index.    dynamodb:index:WriteCapacityUnits - The provisioned write capacity for
  a DynamoDB global secondary index.    rds:cluster:ReadReplicaCount - The count of Aurora
  Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora
  PostgreSQL-compatible edition.    sagemaker:variant:DesiredInstanceCount - The number of
  EC2 instances for an SageMaker model endpoint variant.
  custom-resource:ResourceType:Property - The scalable dimension for a custom resource
  provided by your own application or service.
  comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference
  units for an Amazon Comprehend document classification endpoint.
  comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units
  for an Amazon Comprehend entity recognizer endpoint.
  lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
     cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon
  Keyspaces table.    cassandra:table:WriteCapacityUnits - The provisioned write capacity for
  an Amazon Keyspaces table.    kafka:broker-storage:VolumeSize - The provisioned volume size
  (in GiB) for brokers in an Amazon MSK cluster.    elasticache:replication-group:NodeGroups
  - The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an
  Amazon ElastiCache replication group.    neptune:cluster:ReadReplicaCount - The count of
  read replicas in an Amazon Neptune DB cluster.
- `service_namespace`: The namespace of the Amazon Web Services service that provides the
  resource. For a resource provided by your own application or service, use custom-resource
  instead.

"""
function deregister_scalable_target(
    ResourceId,
    ScalableDimension,
    ServiceNamespace;
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "DeregisterScalableTarget",
        Dict{String,Any}(
            "ResourceId" => ResourceId,
            "ScalableDimension" => ScalableDimension,
            "ServiceNamespace" => ServiceNamespace,
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function deregister_scalable_target(
    ResourceId,
    ScalableDimension,
    ServiceNamespace,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "DeregisterScalableTarget",
        Dict{String,Any}(
            mergewith(
                _merge,
                Dict{String,Any}(
                    "ResourceId" => ResourceId,
                    "ScalableDimension" => ScalableDimension,
                    "ServiceNamespace" => ServiceNamespace,
                ),
                params,
            ),
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    describe_scalable_targets(service_namespace)
    describe_scalable_targets(service_namespace, params::Dict{String,<:Any})

Gets information about the scalable targets in the specified namespace. You can filter the
results using ResourceIds and ScalableDimension.

# Arguments
- `service_namespace`: The namespace of the Amazon Web Services service that provides the
  resource. For a resource provided by your own application or service, use custom-resource
  instead.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"MaxResults"`: The maximum number of scalable targets. This value can be between 1 and
  50. The default value is 50. If this parameter is used, the operation returns up to
  MaxResults results at a time, along with a NextToken value. To get the next set of results,
  include the NextToken value in a subsequent call. If this parameter is not used, the
  operation returns up to 50 results and a NextToken value, if applicable.
- `"NextToken"`: The token for the next set of results.
- `"ResourceIds"`: The identifier of the resource associated with the scalable target. This
  string consists of the resource type and unique identifier.   ECS service - The resource
  type is service and the unique identifier is the cluster name and service name. Example:
  service/default/sample-webapp.   Spot Fleet - The resource type is spot-fleet-request and
  the unique identifier is the Spot Fleet request ID. Example:
  spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.   EMR cluster - The resource
  type is instancegroup and the unique identifier is the cluster ID and instance group ID.
  Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.   AppStream 2.0 fleet - The
  resource type is fleet and the unique identifier is the fleet name. Example:
  fleet/sample-fleet.   DynamoDB table - The resource type is table and the unique identifier
  is the table name. Example: table/my-table.   DynamoDB global secondary index - The
  resource type is index and the unique identifier is the index name. Example:
  table/my-table/index/my-table-index.   Aurora DB cluster - The resource type is cluster and
  the unique identifier is the cluster name. Example: cluster:my-db-cluster.   SageMaker
  endpoint variant - The resource type is variant and the unique identifier is the resource
  ID. Example: endpoint/my-end-point/variant/KMeansClustering.   Custom resources are not
  supported with a resource type. This parameter must specify the OutputValue from the
  CloudFormation template stack used to access the resources. The unique identifier is
  defined by the service provider. More information is available in our GitHub repository.
  Amazon Comprehend document classification endpoint - The resource type and unique
  identifier are specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.   Amazon
  Comprehend entity recognizer endpoint - The resource type and unique identifier are
  specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.   Lambda
  provisioned concurrency - The resource type is function and the unique identifier is the
  function name with a function version or alias name suffix that is not LATEST. Example:
  function:my-function:prod or function:my-function:1.   Amazon Keyspaces table - The
  resource type is table and the unique identifier is the table name. Example:
  keyspace/mykeyspace/table/mytable.   Amazon MSK cluster - The resource type and unique
  identifier are specified using the cluster ARN. Example:
  arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c
  2e31-5.   Amazon ElastiCache replication group - The resource type is replication-group and
  the unique identifier is the replication group name. Example: replication-group/mycluster.
   Neptune cluster - The resource type is cluster and the unique identifier is the cluster
  name. Example: cluster:mycluster.
- `"ScalableDimension"`: The scalable dimension associated with the scalable target. This
  string consists of the service namespace, resource type, and scaling property. If you
  specify a scalable dimension, you must also specify a resource ID.
  ecs:service:DesiredCount - The desired task count of an ECS service.
  elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
     ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet.
  appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
  dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
  dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
  dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global
  secondary index.    dynamodb:index:WriteCapacityUnits - The provisioned write capacity for
  a DynamoDB global secondary index.    rds:cluster:ReadReplicaCount - The count of Aurora
  Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora
  PostgreSQL-compatible edition.    sagemaker:variant:DesiredInstanceCount - The number of
  EC2 instances for an SageMaker model endpoint variant.
  custom-resource:ResourceType:Property - The scalable dimension for a custom resource
  provided by your own application or service.
  comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference
  units for an Amazon Comprehend document classification endpoint.
  comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units
  for an Amazon Comprehend entity recognizer endpoint.
  lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
     cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon
  Keyspaces table.    cassandra:table:WriteCapacityUnits - The provisioned write capacity for
  an Amazon Keyspaces table.    kafka:broker-storage:VolumeSize - The provisioned volume size
  (in GiB) for brokers in an Amazon MSK cluster.    elasticache:replication-group:NodeGroups
  - The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an
  Amazon ElastiCache replication group.    neptune:cluster:ReadReplicaCount - The count of
  read replicas in an Amazon Neptune DB cluster.
"""
function describe_scalable_targets(
    ServiceNamespace; aws_config::AbstractAWSConfig=global_aws_config()
)
    return application_auto_scaling(
        "DescribeScalableTargets",
        Dict{String,Any}("ServiceNamespace" => ServiceNamespace);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function describe_scalable_targets(
    ServiceNamespace,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "DescribeScalableTargets",
        Dict{String,Any}(
            mergewith(
                _merge, Dict{String,Any}("ServiceNamespace" => ServiceNamespace), params
            ),
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    describe_scaling_activities(service_namespace)
    describe_scaling_activities(service_namespace, params::Dict{String,<:Any})

Provides descriptive information about the scaling activities in the specified namespace
from the previous six weeks. You can filter the results using ResourceId and
ScalableDimension.

# Arguments
- `service_namespace`: The namespace of the Amazon Web Services service that provides the
  resource. For a resource provided by your own application or service, use custom-resource
  instead.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"MaxResults"`: The maximum number of scalable targets. This value can be between 1 and
  50. The default value is 50. If this parameter is used, the operation returns up to
  MaxResults results at a time, along with a NextToken value. To get the next set of results,
  include the NextToken value in a subsequent call. If this parameter is not used, the
  operation returns up to 50 results and a NextToken value, if applicable.
- `"NextToken"`: The token for the next set of results.
- `"ResourceId"`: The identifier of the resource associated with the scaling activity. This
  string consists of the resource type and unique identifier.   ECS service - The resource
  type is service and the unique identifier is the cluster name and service name. Example:
  service/default/sample-webapp.   Spot Fleet - The resource type is spot-fleet-request and
  the unique identifier is the Spot Fleet request ID. Example:
  spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.   EMR cluster - The resource
  type is instancegroup and the unique identifier is the cluster ID and instance group ID.
  Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.   AppStream 2.0 fleet - The
  resource type is fleet and the unique identifier is the fleet name. Example:
  fleet/sample-fleet.   DynamoDB table - The resource type is table and the unique identifier
  is the table name. Example: table/my-table.   DynamoDB global secondary index - The
  resource type is index and the unique identifier is the index name. Example:
  table/my-table/index/my-table-index.   Aurora DB cluster - The resource type is cluster and
  the unique identifier is the cluster name. Example: cluster:my-db-cluster.   SageMaker
  endpoint variant - The resource type is variant and the unique identifier is the resource
  ID. Example: endpoint/my-end-point/variant/KMeansClustering.   Custom resources are not
  supported with a resource type. This parameter must specify the OutputValue from the
  CloudFormation template stack used to access the resources. The unique identifier is
  defined by the service provider. More information is available in our GitHub repository.
  Amazon Comprehend document classification endpoint - The resource type and unique
  identifier are specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.   Amazon
  Comprehend entity recognizer endpoint - The resource type and unique identifier are
  specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.   Lambda
  provisioned concurrency - The resource type is function and the unique identifier is the
  function name with a function version or alias name suffix that is not LATEST. Example:
  function:my-function:prod or function:my-function:1.   Amazon Keyspaces table - The
  resource type is table and the unique identifier is the table name. Example:
  keyspace/mykeyspace/table/mytable.   Amazon MSK cluster - The resource type and unique
  identifier are specified using the cluster ARN. Example:
  arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c
  2e31-5.   Amazon ElastiCache replication group - The resource type is replication-group and
  the unique identifier is the replication group name. Example: replication-group/mycluster.
   Neptune cluster - The resource type is cluster and the unique identifier is the cluster
  name. Example: cluster:mycluster.
- `"ScalableDimension"`: The scalable dimension. This string consists of the service
  namespace, resource type, and scaling property. If you specify a scalable dimension, you
  must also specify a resource ID.    ecs:service:DesiredCount - The desired task count of an
  ECS service.    elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR
  Instance Group.    ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot
  Fleet.    appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
     dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
   dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
   dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global
  secondary index.    dynamodb:index:WriteCapacityUnits - The provisioned write capacity for
  a DynamoDB global secondary index.    rds:cluster:ReadReplicaCount - The count of Aurora
  Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora
  PostgreSQL-compatible edition.    sagemaker:variant:DesiredInstanceCount - The number of
  EC2 instances for an SageMaker model endpoint variant.
  custom-resource:ResourceType:Property - The scalable dimension for a custom resource
  provided by your own application or service.
  comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference
  units for an Amazon Comprehend document classification endpoint.
  comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units
  for an Amazon Comprehend entity recognizer endpoint.
  lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
     cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon
  Keyspaces table.    cassandra:table:WriteCapacityUnits - The provisioned write capacity for
  an Amazon Keyspaces table.    kafka:broker-storage:VolumeSize - The provisioned volume size
  (in GiB) for brokers in an Amazon MSK cluster.    elasticache:replication-group:NodeGroups
  - The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an
  Amazon ElastiCache replication group.    neptune:cluster:ReadReplicaCount - The count of
  read replicas in an Amazon Neptune DB cluster.
"""
function describe_scaling_activities(
    ServiceNamespace; aws_config::AbstractAWSConfig=global_aws_config()
)
    return application_auto_scaling(
        "DescribeScalingActivities",
        Dict{String,Any}("ServiceNamespace" => ServiceNamespace);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function describe_scaling_activities(
    ServiceNamespace,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "DescribeScalingActivities",
        Dict{String,Any}(
            mergewith(
                _merge, Dict{String,Any}("ServiceNamespace" => ServiceNamespace), params
            ),
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    describe_scaling_policies(service_namespace)
    describe_scaling_policies(service_namespace, params::Dict{String,<:Any})

Describes the Application Auto Scaling scaling policies for the specified service
namespace. You can filter the results using ResourceId, ScalableDimension, and PolicyNames.
For more information, see Target tracking scaling policies and Step scaling policies in the
Application Auto Scaling User Guide.

# Arguments
- `service_namespace`: The namespace of the Amazon Web Services service that provides the
  resource. For a resource provided by your own application or service, use custom-resource
  instead.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"MaxResults"`: The maximum number of scalable targets. This value can be between 1 and
  10. The default value is 10. If this parameter is used, the operation returns up to
  MaxResults results at a time, along with a NextToken value. To get the next set of results,
  include the NextToken value in a subsequent call. If this parameter is not used, the
  operation returns up to 10 results and a NextToken value, if applicable.
- `"NextToken"`: The token for the next set of results.
- `"PolicyNames"`: The names of the scaling policies to describe.
- `"ResourceId"`: The identifier of the resource associated with the scaling policy. This
  string consists of the resource type and unique identifier.   ECS service - The resource
  type is service and the unique identifier is the cluster name and service name. Example:
  service/default/sample-webapp.   Spot Fleet - The resource type is spot-fleet-request and
  the unique identifier is the Spot Fleet request ID. Example:
  spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.   EMR cluster - The resource
  type is instancegroup and the unique identifier is the cluster ID and instance group ID.
  Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.   AppStream 2.0 fleet - The
  resource type is fleet and the unique identifier is the fleet name. Example:
  fleet/sample-fleet.   DynamoDB table - The resource type is table and the unique identifier
  is the table name. Example: table/my-table.   DynamoDB global secondary index - The
  resource type is index and the unique identifier is the index name. Example:
  table/my-table/index/my-table-index.   Aurora DB cluster - The resource type is cluster and
  the unique identifier is the cluster name. Example: cluster:my-db-cluster.   SageMaker
  endpoint variant - The resource type is variant and the unique identifier is the resource
  ID. Example: endpoint/my-end-point/variant/KMeansClustering.   Custom resources are not
  supported with a resource type. This parameter must specify the OutputValue from the
  CloudFormation template stack used to access the resources. The unique identifier is
  defined by the service provider. More information is available in our GitHub repository.
  Amazon Comprehend document classification endpoint - The resource type and unique
  identifier are specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.   Amazon
  Comprehend entity recognizer endpoint - The resource type and unique identifier are
  specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.   Lambda
  provisioned concurrency - The resource type is function and the unique identifier is the
  function name with a function version or alias name suffix that is not LATEST. Example:
  function:my-function:prod or function:my-function:1.   Amazon Keyspaces table - The
  resource type is table and the unique identifier is the table name. Example:
  keyspace/mykeyspace/table/mytable.   Amazon MSK cluster - The resource type and unique
  identifier are specified using the cluster ARN. Example:
  arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c
  2e31-5.   Amazon ElastiCache replication group - The resource type is replication-group and
  the unique identifier is the replication group name. Example: replication-group/mycluster.
   Neptune cluster - The resource type is cluster and the unique identifier is the cluster
  name. Example: cluster:mycluster.
- `"ScalableDimension"`: The scalable dimension. This string consists of the service
  namespace, resource type, and scaling property. If you specify a scalable dimension, you
  must also specify a resource ID.    ecs:service:DesiredCount - The desired task count of an
  ECS service.    elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR
  Instance Group.    ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot
  Fleet.    appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
     dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
   dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
   dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global
  secondary index.    dynamodb:index:WriteCapacityUnits - The provisioned write capacity for
  a DynamoDB global secondary index.    rds:cluster:ReadReplicaCount - The count of Aurora
  Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora
  PostgreSQL-compatible edition.    sagemaker:variant:DesiredInstanceCount - The number of
  EC2 instances for an SageMaker model endpoint variant.
  custom-resource:ResourceType:Property - The scalable dimension for a custom resource
  provided by your own application or service.
  comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference
  units for an Amazon Comprehend document classification endpoint.
  comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units
  for an Amazon Comprehend entity recognizer endpoint.
  lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
     cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon
  Keyspaces table.    cassandra:table:WriteCapacityUnits - The provisioned write capacity for
  an Amazon Keyspaces table.    kafka:broker-storage:VolumeSize - The provisioned volume size
  (in GiB) for brokers in an Amazon MSK cluster.    elasticache:replication-group:NodeGroups
  - The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an
  Amazon ElastiCache replication group.    neptune:cluster:ReadReplicaCount - The count of
  read replicas in an Amazon Neptune DB cluster.
"""
function describe_scaling_policies(
    ServiceNamespace; aws_config::AbstractAWSConfig=global_aws_config()
)
    return application_auto_scaling(
        "DescribeScalingPolicies",
        Dict{String,Any}("ServiceNamespace" => ServiceNamespace);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function describe_scaling_policies(
    ServiceNamespace,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "DescribeScalingPolicies",
        Dict{String,Any}(
            mergewith(
                _merge, Dict{String,Any}("ServiceNamespace" => ServiceNamespace), params
            ),
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    describe_scheduled_actions(service_namespace)
    describe_scheduled_actions(service_namespace, params::Dict{String,<:Any})

Describes the Application Auto Scaling scheduled actions for the specified service
namespace. You can filter the results using the ResourceId, ScalableDimension, and
ScheduledActionNames parameters. For more information, see Scheduled scaling and Managing
scheduled scaling in the Application Auto Scaling User Guide.

# Arguments
- `service_namespace`: The namespace of the Amazon Web Services service that provides the
  resource. For a resource provided by your own application or service, use custom-resource
  instead.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"MaxResults"`: The maximum number of scheduled action results. This value can be between
  1 and 50. The default value is 50. If this parameter is used, the operation returns up to
  MaxResults results at a time, along with a NextToken value. To get the next set of results,
  include the NextToken value in a subsequent call. If this parameter is not used, the
  operation returns up to 50 results and a NextToken value, if applicable.
- `"NextToken"`: The token for the next set of results.
- `"ResourceId"`: The identifier of the resource associated with the scheduled action. This
  string consists of the resource type and unique identifier.   ECS service - The resource
  type is service and the unique identifier is the cluster name and service name. Example:
  service/default/sample-webapp.   Spot Fleet - The resource type is spot-fleet-request and
  the unique identifier is the Spot Fleet request ID. Example:
  spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.   EMR cluster - The resource
  type is instancegroup and the unique identifier is the cluster ID and instance group ID.
  Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.   AppStream 2.0 fleet - The
  resource type is fleet and the unique identifier is the fleet name. Example:
  fleet/sample-fleet.   DynamoDB table - The resource type is table and the unique identifier
  is the table name. Example: table/my-table.   DynamoDB global secondary index - The
  resource type is index and the unique identifier is the index name. Example:
  table/my-table/index/my-table-index.   Aurora DB cluster - The resource type is cluster and
  the unique identifier is the cluster name. Example: cluster:my-db-cluster.   SageMaker
  endpoint variant - The resource type is variant and the unique identifier is the resource
  ID. Example: endpoint/my-end-point/variant/KMeansClustering.   Custom resources are not
  supported with a resource type. This parameter must specify the OutputValue from the
  CloudFormation template stack used to access the resources. The unique identifier is
  defined by the service provider. More information is available in our GitHub repository.
  Amazon Comprehend document classification endpoint - The resource type and unique
  identifier are specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.   Amazon
  Comprehend entity recognizer endpoint - The resource type and unique identifier are
  specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.   Lambda
  provisioned concurrency - The resource type is function and the unique identifier is the
  function name with a function version or alias name suffix that is not LATEST. Example:
  function:my-function:prod or function:my-function:1.   Amazon Keyspaces table - The
  resource type is table and the unique identifier is the table name. Example:
  keyspace/mykeyspace/table/mytable.   Amazon MSK cluster - The resource type and unique
  identifier are specified using the cluster ARN. Example:
  arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c
  2e31-5.   Amazon ElastiCache replication group - The resource type is replication-group and
  the unique identifier is the replication group name. Example: replication-group/mycluster.
   Neptune cluster - The resource type is cluster and the unique identifier is the cluster
  name. Example: cluster:mycluster.
- `"ScalableDimension"`: The scalable dimension. This string consists of the service
  namespace, resource type, and scaling property. If you specify a scalable dimension, you
  must also specify a resource ID.    ecs:service:DesiredCount - The desired task count of an
  ECS service.    elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR
  Instance Group.    ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot
  Fleet.    appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
     dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
   dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
   dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global
  secondary index.    dynamodb:index:WriteCapacityUnits - The provisioned write capacity for
  a DynamoDB global secondary index.    rds:cluster:ReadReplicaCount - The count of Aurora
  Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora
  PostgreSQL-compatible edition.    sagemaker:variant:DesiredInstanceCount - The number of
  EC2 instances for an SageMaker model endpoint variant.
  custom-resource:ResourceType:Property - The scalable dimension for a custom resource
  provided by your own application or service.
  comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference
  units for an Amazon Comprehend document classification endpoint.
  comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units
  for an Amazon Comprehend entity recognizer endpoint.
  lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
     cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon
  Keyspaces table.    cassandra:table:WriteCapacityUnits - The provisioned write capacity for
  an Amazon Keyspaces table.    kafka:broker-storage:VolumeSize - The provisioned volume size
  (in GiB) for brokers in an Amazon MSK cluster.    elasticache:replication-group:NodeGroups
  - The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an
  Amazon ElastiCache replication group.    neptune:cluster:ReadReplicaCount - The count of
  read replicas in an Amazon Neptune DB cluster.
- `"ScheduledActionNames"`: The names of the scheduled actions to describe.
"""
function describe_scheduled_actions(
    ServiceNamespace; aws_config::AbstractAWSConfig=global_aws_config()
)
    return application_auto_scaling(
        "DescribeScheduledActions",
        Dict{String,Any}("ServiceNamespace" => ServiceNamespace);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function describe_scheduled_actions(
    ServiceNamespace,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "DescribeScheduledActions",
        Dict{String,Any}(
            mergewith(
                _merge, Dict{String,Any}("ServiceNamespace" => ServiceNamespace), params
            ),
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    put_scaling_policy(policy_name, resource_id, scalable_dimension, service_namespace)
    put_scaling_policy(policy_name, resource_id, scalable_dimension, service_namespace, params::Dict{String,<:Any})

Creates or updates a scaling policy for an Application Auto Scaling scalable target. Each
scalable target is identified by a service namespace, resource ID, and scalable dimension.
A scaling policy applies to the scalable target identified by those three attributes. You
cannot create a scaling policy until you have registered the resource as a scalable target.
Multiple scaling policies can be in force at the same time for the same scalable target.
You can have one or more target tracking scaling policies, one or more step scaling
policies, or both. However, there is a chance that multiple policies could conflict,
instructing the scalable target to scale out or in at the same time. Application Auto
Scaling gives precedence to the policy that provides the largest capacity for both scale
out and scale in. For example, if one policy increases capacity by 3, another policy
increases capacity by 200 percent, and the current capacity is 10, Application Auto Scaling
uses the policy with the highest calculated capacity (200% of 10 = 20) and scales out to
30.  We recommend caution, however, when using target tracking scaling policies with step
scaling policies because conflicts between these policies can cause undesirable behavior.
For example, if the step scaling policy initiates a scale-in activity before the target
tracking policy is ready to scale in, the scale-in activity will not be blocked. After the
scale-in activity completes, the target tracking policy could instruct the scalable target
to scale out again.  For more information, see Target tracking scaling policies and Step
scaling policies in the Application Auto Scaling User Guide.  If a scalable target is
deregistered, the scalable target is no longer available to execute scaling policies. Any
scaling policies that were specified for the scalable target are deleted.

# Arguments
- `policy_name`: The name of the scaling policy.
- `resource_id`: The identifier of the resource associated with the scaling policy. This
  string consists of the resource type and unique identifier.   ECS service - The resource
  type is service and the unique identifier is the cluster name and service name. Example:
  service/default/sample-webapp.   Spot Fleet - The resource type is spot-fleet-request and
  the unique identifier is the Spot Fleet request ID. Example:
  spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.   EMR cluster - The resource
  type is instancegroup and the unique identifier is the cluster ID and instance group ID.
  Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.   AppStream 2.0 fleet - The
  resource type is fleet and the unique identifier is the fleet name. Example:
  fleet/sample-fleet.   DynamoDB table - The resource type is table and the unique identifier
  is the table name. Example: table/my-table.   DynamoDB global secondary index - The
  resource type is index and the unique identifier is the index name. Example:
  table/my-table/index/my-table-index.   Aurora DB cluster - The resource type is cluster and
  the unique identifier is the cluster name. Example: cluster:my-db-cluster.   SageMaker
  endpoint variant - The resource type is variant and the unique identifier is the resource
  ID. Example: endpoint/my-end-point/variant/KMeansClustering.   Custom resources are not
  supported with a resource type. This parameter must specify the OutputValue from the
  CloudFormation template stack used to access the resources. The unique identifier is
  defined by the service provider. More information is available in our GitHub repository.
  Amazon Comprehend document classification endpoint - The resource type and unique
  identifier are specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.   Amazon
  Comprehend entity recognizer endpoint - The resource type and unique identifier are
  specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.   Lambda
  provisioned concurrency - The resource type is function and the unique identifier is the
  function name with a function version or alias name suffix that is not LATEST. Example:
  function:my-function:prod or function:my-function:1.   Amazon Keyspaces table - The
  resource type is table and the unique identifier is the table name. Example:
  keyspace/mykeyspace/table/mytable.   Amazon MSK cluster - The resource type and unique
  identifier are specified using the cluster ARN. Example:
  arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c
  2e31-5.   Amazon ElastiCache replication group - The resource type is replication-group and
  the unique identifier is the replication group name. Example: replication-group/mycluster.
   Neptune cluster - The resource type is cluster and the unique identifier is the cluster
  name. Example: cluster:mycluster.
- `scalable_dimension`: The scalable dimension. This string consists of the service
  namespace, resource type, and scaling property.    ecs:service:DesiredCount - The desired
  task count of an ECS service.    elasticmapreduce:instancegroup:InstanceCount - The
  instance count of an EMR Instance Group.    ec2:spot-fleet-request:TargetCapacity - The
  target capacity of a Spot Fleet.    appstream:fleet:DesiredCapacity - The desired capacity
  of an AppStream 2.0 fleet.    dynamodb:table:ReadCapacityUnits - The provisioned read
  capacity for a DynamoDB table.    dynamodb:table:WriteCapacityUnits - The provisioned write
  capacity for a DynamoDB table.    dynamodb:index:ReadCapacityUnits - The provisioned read
  capacity for a DynamoDB global secondary index.    dynamodb:index:WriteCapacityUnits - The
  provisioned write capacity for a DynamoDB global secondary index.
  rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster.
  Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
  sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an SageMaker model
  endpoint variant.    custom-resource:ResourceType:Property - The scalable dimension for a
  custom resource provided by your own application or service.
  comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference
  units for an Amazon Comprehend document classification endpoint.
  comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units
  for an Amazon Comprehend entity recognizer endpoint.
  lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
     cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon
  Keyspaces table.    cassandra:table:WriteCapacityUnits - The provisioned write capacity for
  an Amazon Keyspaces table.    kafka:broker-storage:VolumeSize - The provisioned volume size
  (in GiB) for brokers in an Amazon MSK cluster.    elasticache:replication-group:NodeGroups
  - The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an
  Amazon ElastiCache replication group.    neptune:cluster:ReadReplicaCount - The count of
  read replicas in an Amazon Neptune DB cluster.
- `service_namespace`: The namespace of the Amazon Web Services service that provides the
  resource. For a resource provided by your own application or service, use custom-resource
  instead.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"PolicyType"`: The policy type. This parameter is required if you are creating a scaling
  policy. The following policy types are supported:   TargetTrackingScaling—Not supported
  for Amazon EMR  StepScaling—Not supported for DynamoDB, Amazon Comprehend, Lambda, Amazon
  Keyspaces, Amazon MSK, Amazon ElastiCache, or Neptune. For more information, see Target
  tracking scaling policies and Step scaling policies in the Application Auto Scaling User
  Guide.
- `"StepScalingPolicyConfiguration"`: A step scaling policy. This parameter is required if
  you are creating a policy and the policy type is StepScaling.
- `"TargetTrackingScalingPolicyConfiguration"`: A target tracking scaling policy. Includes
  support for predefined or customized metrics. This parameter is required if you are
  creating a policy and the policy type is TargetTrackingScaling.
"""
function put_scaling_policy(
    PolicyName,
    ResourceId,
    ScalableDimension,
    ServiceNamespace;
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "PutScalingPolicy",
        Dict{String,Any}(
            "PolicyName" => PolicyName,
            "ResourceId" => ResourceId,
            "ScalableDimension" => ScalableDimension,
            "ServiceNamespace" => ServiceNamespace,
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function put_scaling_policy(
    PolicyName,
    ResourceId,
    ScalableDimension,
    ServiceNamespace,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "PutScalingPolicy",
        Dict{String,Any}(
            mergewith(
                _merge,
                Dict{String,Any}(
                    "PolicyName" => PolicyName,
                    "ResourceId" => ResourceId,
                    "ScalableDimension" => ScalableDimension,
                    "ServiceNamespace" => ServiceNamespace,
                ),
                params,
            ),
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    put_scheduled_action(resource_id, scalable_dimension, scheduled_action_name, service_namespace)
    put_scheduled_action(resource_id, scalable_dimension, scheduled_action_name, service_namespace, params::Dict{String,<:Any})

Creates or updates a scheduled action for an Application Auto Scaling scalable target.
Each scalable target is identified by a service namespace, resource ID, and scalable
dimension. A scheduled action applies to the scalable target identified by those three
attributes. You cannot create a scheduled action until you have registered the resource as
a scalable target. When start and end times are specified with a recurring schedule using a
cron expression or rates, they form the boundaries for when the recurring action starts and
stops. To update a scheduled action, specify the parameters that you want to change. If you
don't specify start and end times, the old values are deleted. For more information, see
Scheduled scaling in the Application Auto Scaling User Guide.  If a scalable target is
deregistered, the scalable target is no longer available to run scheduled actions. Any
scheduled actions that were specified for the scalable target are deleted.

# Arguments
- `resource_id`: The identifier of the resource associated with the scheduled action. This
  string consists of the resource type and unique identifier.   ECS service - The resource
  type is service and the unique identifier is the cluster name and service name. Example:
  service/default/sample-webapp.   Spot Fleet - The resource type is spot-fleet-request and
  the unique identifier is the Spot Fleet request ID. Example:
  spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.   EMR cluster - The resource
  type is instancegroup and the unique identifier is the cluster ID and instance group ID.
  Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.   AppStream 2.0 fleet - The
  resource type is fleet and the unique identifier is the fleet name. Example:
  fleet/sample-fleet.   DynamoDB table - The resource type is table and the unique identifier
  is the table name. Example: table/my-table.   DynamoDB global secondary index - The
  resource type is index and the unique identifier is the index name. Example:
  table/my-table/index/my-table-index.   Aurora DB cluster - The resource type is cluster and
  the unique identifier is the cluster name. Example: cluster:my-db-cluster.   SageMaker
  endpoint variant - The resource type is variant and the unique identifier is the resource
  ID. Example: endpoint/my-end-point/variant/KMeansClustering.   Custom resources are not
  supported with a resource type. This parameter must specify the OutputValue from the
  CloudFormation template stack used to access the resources. The unique identifier is
  defined by the service provider. More information is available in our GitHub repository.
  Amazon Comprehend document classification endpoint - The resource type and unique
  identifier are specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.   Amazon
  Comprehend entity recognizer endpoint - The resource type and unique identifier are
  specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.   Lambda
  provisioned concurrency - The resource type is function and the unique identifier is the
  function name with a function version or alias name suffix that is not LATEST. Example:
  function:my-function:prod or function:my-function:1.   Amazon Keyspaces table - The
  resource type is table and the unique identifier is the table name. Example:
  keyspace/mykeyspace/table/mytable.   Amazon MSK cluster - The resource type and unique
  identifier are specified using the cluster ARN. Example:
  arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c
  2e31-5.   Amazon ElastiCache replication group - The resource type is replication-group and
  the unique identifier is the replication group name. Example: replication-group/mycluster.
   Neptune cluster - The resource type is cluster and the unique identifier is the cluster
  name. Example: cluster:mycluster.
- `scalable_dimension`: The scalable dimension. This string consists of the service
  namespace, resource type, and scaling property.    ecs:service:DesiredCount - The desired
  task count of an ECS service.    elasticmapreduce:instancegroup:InstanceCount - The
  instance count of an EMR Instance Group.    ec2:spot-fleet-request:TargetCapacity - The
  target capacity of a Spot Fleet.    appstream:fleet:DesiredCapacity - The desired capacity
  of an AppStream 2.0 fleet.    dynamodb:table:ReadCapacityUnits - The provisioned read
  capacity for a DynamoDB table.    dynamodb:table:WriteCapacityUnits - The provisioned write
  capacity for a DynamoDB table.    dynamodb:index:ReadCapacityUnits - The provisioned read
  capacity for a DynamoDB global secondary index.    dynamodb:index:WriteCapacityUnits - The
  provisioned write capacity for a DynamoDB global secondary index.
  rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster.
  Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
  sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an SageMaker model
  endpoint variant.    custom-resource:ResourceType:Property - The scalable dimension for a
  custom resource provided by your own application or service.
  comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference
  units for an Amazon Comprehend document classification endpoint.
  comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units
  for an Amazon Comprehend entity recognizer endpoint.
  lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
     cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon
  Keyspaces table.    cassandra:table:WriteCapacityUnits - The provisioned write capacity for
  an Amazon Keyspaces table.    kafka:broker-storage:VolumeSize - The provisioned volume size
  (in GiB) for brokers in an Amazon MSK cluster.    elasticache:replication-group:NodeGroups
  - The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an
  Amazon ElastiCache replication group.    neptune:cluster:ReadReplicaCount - The count of
  read replicas in an Amazon Neptune DB cluster.
- `scheduled_action_name`: The name of the scheduled action. This name must be unique among
  all other scheduled actions on the specified scalable target.
- `service_namespace`: The namespace of the Amazon Web Services service that provides the
  resource. For a resource provided by your own application or service, use custom-resource
  instead.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"EndTime"`: The date and time for the recurring schedule to end, in UTC.
- `"ScalableTargetAction"`: The new minimum and maximum capacity. You can set both values
  or just one. At the scheduled time, if the current capacity is below the minimum capacity,
  Application Auto Scaling scales out to the minimum capacity. If the current capacity is
  above the maximum capacity, Application Auto Scaling scales in to the maximum capacity.
- `"Schedule"`: The schedule for this action. The following formats are supported:   At
  expressions - \"at(yyyy-mm-ddThh:mm:ss)\"   Rate expressions - \"rate(value unit)\"   Cron
  expressions - \"cron(fields)\"   At expressions are useful for one-time schedules. Cron
  expressions are useful for scheduled actions that run periodically at a specified date and
  time, and rate expressions are useful for scheduled actions that run at a regular interval.
  At and cron expressions use Universal Coordinated Time (UTC) by default. The cron format
  consists of six fields separated by white spaces: [Minutes] [Hours] [Day_of_Month] [Month]
  [Day_of_Week] [Year]. For rate expressions, value is a positive integer and unit is minute
  | minutes | hour | hours | day | days. For more information and examples, see Example
  scheduled actions for Application Auto Scaling in the Application Auto Scaling User Guide.
- `"StartTime"`: The date and time for this scheduled action to start, in UTC.
- `"Timezone"`: Specifies the time zone used when setting a scheduled action by using an at
  or cron expression. If a time zone is not provided, UTC is used by default. Valid values
  are the canonical names of the IANA time zones supported by Joda-Time (such as Etc/GMT+9 or
  Pacific/Tahiti). For more information, see https://www.joda.org/joda-time/timezones.html.
"""
function put_scheduled_action(
    ResourceId,
    ScalableDimension,
    ScheduledActionName,
    ServiceNamespace;
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "PutScheduledAction",
        Dict{String,Any}(
            "ResourceId" => ResourceId,
            "ScalableDimension" => ScalableDimension,
            "ScheduledActionName" => ScheduledActionName,
            "ServiceNamespace" => ServiceNamespace,
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function put_scheduled_action(
    ResourceId,
    ScalableDimension,
    ScheduledActionName,
    ServiceNamespace,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "PutScheduledAction",
        Dict{String,Any}(
            mergewith(
                _merge,
                Dict{String,Any}(
                    "ResourceId" => ResourceId,
                    "ScalableDimension" => ScalableDimension,
                    "ScheduledActionName" => ScheduledActionName,
                    "ServiceNamespace" => ServiceNamespace,
                ),
                params,
            ),
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    register_scalable_target(resource_id, scalable_dimension, service_namespace)
    register_scalable_target(resource_id, scalable_dimension, service_namespace, params::Dict{String,<:Any})

Registers or updates a scalable target.  A scalable target is a resource that Application
Auto Scaling can scale out and scale in. Scalable targets are uniquely identified by the
combination of resource ID, scalable dimension, and namespace.  When you register a new
scalable target, you must specify values for minimum and maximum capacity. Current capacity
will be adjusted within the specified range when scaling starts. Application Auto Scaling
scaling policies will not scale capacity to values that are outside of this range. After
you register a scalable target, you do not need to register it again to use other
Application Auto Scaling operations. To see which resources have been registered, use
DescribeScalableTargets. You can also view the scaling policies for a service namespace by
using DescribeScalableTargets. If you no longer need a scalable target, you can deregister
it by using DeregisterScalableTarget. To update a scalable target, specify the parameters
that you want to change. Include the parameters that identify the scalable target: resource
ID, scalable dimension, and namespace. Any parameters that you don't specify are not
changed by this update request.   If you call the RegisterScalableTarget API to update an
existing scalable target, Application Auto Scaling retrieves the current capacity of the
resource. If it is below the minimum capacity or above the maximum capacity, Application
Auto Scaling adjusts the capacity of the scalable target to place it within these bounds,
even if you don't include the MinCapacity or MaxCapacity request parameters.

# Arguments
- `resource_id`: The identifier of the resource that is associated with the scalable
  target. This string consists of the resource type and unique identifier.   ECS service -
  The resource type is service and the unique identifier is the cluster name and service
  name. Example: service/default/sample-webapp.   Spot Fleet - The resource type is
  spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example:
  spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.   EMR cluster - The resource
  type is instancegroup and the unique identifier is the cluster ID and instance group ID.
  Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.   AppStream 2.0 fleet - The
  resource type is fleet and the unique identifier is the fleet name. Example:
  fleet/sample-fleet.   DynamoDB table - The resource type is table and the unique identifier
  is the table name. Example: table/my-table.   DynamoDB global secondary index - The
  resource type is index and the unique identifier is the index name. Example:
  table/my-table/index/my-table-index.   Aurora DB cluster - The resource type is cluster and
  the unique identifier is the cluster name. Example: cluster:my-db-cluster.   SageMaker
  endpoint variant - The resource type is variant and the unique identifier is the resource
  ID. Example: endpoint/my-end-point/variant/KMeansClustering.   Custom resources are not
  supported with a resource type. This parameter must specify the OutputValue from the
  CloudFormation template stack used to access the resources. The unique identifier is
  defined by the service provider. More information is available in our GitHub repository.
  Amazon Comprehend document classification endpoint - The resource type and unique
  identifier are specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.   Amazon
  Comprehend entity recognizer endpoint - The resource type and unique identifier are
  specified using the endpoint ARN. Example:
  arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.   Lambda
  provisioned concurrency - The resource type is function and the unique identifier is the
  function name with a function version or alias name suffix that is not LATEST. Example:
  function:my-function:prod or function:my-function:1.   Amazon Keyspaces table - The
  resource type is table and the unique identifier is the table name. Example:
  keyspace/mykeyspace/table/mytable.   Amazon MSK cluster - The resource type and unique
  identifier are specified using the cluster ARN. Example:
  arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c
  2e31-5.   Amazon ElastiCache replication group - The resource type is replication-group and
  the unique identifier is the replication group name. Example: replication-group/mycluster.
   Neptune cluster - The resource type is cluster and the unique identifier is the cluster
  name. Example: cluster:mycluster.
- `scalable_dimension`: The scalable dimension associated with the scalable target. This
  string consists of the service namespace, resource type, and scaling property.
  ecs:service:DesiredCount - The desired task count of an ECS service.
  elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
     ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet.
  appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
  dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
  dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
  dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global
  secondary index.    dynamodb:index:WriteCapacityUnits - The provisioned write capacity for
  a DynamoDB global secondary index.    rds:cluster:ReadReplicaCount - The count of Aurora
  Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora
  PostgreSQL-compatible edition.    sagemaker:variant:DesiredInstanceCount - The number of
  EC2 instances for an SageMaker model endpoint variant.
  custom-resource:ResourceType:Property - The scalable dimension for a custom resource
  provided by your own application or service.
  comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference
  units for an Amazon Comprehend document classification endpoint.
  comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units
  for an Amazon Comprehend entity recognizer endpoint.
  lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
     cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon
  Keyspaces table.    cassandra:table:WriteCapacityUnits - The provisioned write capacity for
  an Amazon Keyspaces table.    kafka:broker-storage:VolumeSize - The provisioned volume size
  (in GiB) for brokers in an Amazon MSK cluster.    elasticache:replication-group:NodeGroups
  - The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an
  Amazon ElastiCache replication group.    neptune:cluster:ReadReplicaCount - The count of
  read replicas in an Amazon Neptune DB cluster.
- `service_namespace`: The namespace of the Amazon Web Services service that provides the
  resource. For a resource provided by your own application or service, use custom-resource
  instead.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"MaxCapacity"`: The maximum value that you plan to scale out to. When a scaling policy
  is in effect, Application Auto Scaling can scale out (expand) as needed to the maximum
  capacity limit in response to changing demand. This property is required when registering a
  new scalable target. Although you can specify a large maximum capacity, note that service
  quotas may impose lower limits. Each service has its own default quotas for the maximum
  capacity of the resource. If you want to specify a higher limit, you can request an
  increase. For more information, consult the documentation for that service. For information
  about the default quotas for each service, see Service Endpoints and Quotas in the Amazon
  Web Services General Reference.
- `"MinCapacity"`: The minimum value that you plan to scale in to. When a scaling policy is
  in effect, Application Auto Scaling can scale in (contract) as needed to the minimum
  capacity limit in response to changing demand. This property is required when registering a
  new scalable target. For certain resources, the minimum value allowed is 0. This includes
  Lambda provisioned concurrency, Spot Fleet, ECS services, Aurora DB clusters, EMR clusters,
  and custom resources. For all other resources, the minimum value allowed is 1.
- `"RoleARN"`: This parameter is required for services that do not support service-linked
  roles (such as Amazon EMR), and it must specify the ARN of an IAM role that allows
  Application Auto Scaling to modify the scalable target on your behalf.  If the service
  supports service-linked roles, Application Auto Scaling uses a service-linked role, which
  it creates if it does not yet exist. For more information, see Application Auto Scaling IAM
  roles.
- `"SuspendedState"`: An embedded object that contains attributes and attribute values that
  are used to suspend and resume automatic scaling. Setting the value of an attribute to true
  suspends the specified scaling activities. Setting it to false (default) resumes the
  specified scaling activities.   Suspension Outcomes    For DynamicScalingInSuspended, while
  a suspension is in effect, all scale-in activities that are triggered by a scaling policy
  are suspended.   For DynamicScalingOutSuspended, while a suspension is in effect, all
  scale-out activities that are triggered by a scaling policy are suspended.   For
  ScheduledScalingSuspended, while a suspension is in effect, all scaling activities that
  involve scheduled actions are suspended.    For more information, see Suspending and
  resuming scaling in the Application Auto Scaling User Guide.
"""
function register_scalable_target(
    ResourceId,
    ScalableDimension,
    ServiceNamespace;
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "RegisterScalableTarget",
        Dict{String,Any}(
            "ResourceId" => ResourceId,
            "ScalableDimension" => ScalableDimension,
            "ServiceNamespace" => ServiceNamespace,
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function register_scalable_target(
    ResourceId,
    ScalableDimension,
    ServiceNamespace,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return application_auto_scaling(
        "RegisterScalableTarget",
        Dict{String,Any}(
            mergewith(
                _merge,
                Dict{String,Any}(
                    "ResourceId" => ResourceId,
                    "ScalableDimension" => ScalableDimension,
                    "ServiceNamespace" => ServiceNamespace,
                ),
                params,
            ),
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end


text:
@doc doc"""
    SpecialOrthogonal{n} <: GroupManifold{Rotations{n},MultiplicationOperation}

Special orthogonal group $\mathrm{SO}(n)$ represented by rotation matrices.

# Constructor
    SpecialOrthogonal(n)
"""
const SpecialOrthogonal{n} = GroupManifold{Rotations{n},MultiplicationOperation}

SpecialOrthogonal(n) = SpecialOrthogonal{n}(Rotations(n), MultiplicationOperation())

show(io::IO, ::SpecialOrthogonal{n}) where {n} = print(io, "SpecialOrthogonal($(n))")

inv(::SpecialOrthogonal, x) = transpose(x)

inverse_translate(G::SpecialOrthogonal, x, y, conv::LeftAction) = inv(G, x) * y
inverse_translate(G::SpecialOrthogonal, x, y, conv::RightAction) = y * inv(G, x)

translate_diff(::SpecialOrthogonal, x, y, v, ::LeftAction) = v
translate_diff(G::SpecialOrthogonal, x, y, v, ::RightAction) = inv(G, x) * v * x

function translate_diff!(G::SpecialOrthogonal, vout, x, y, v, conv::ActionDirection)
    return copyto!(vout, translate_diff(G, x, y, v, conv))
end

function inverse_translate_diff(G::SpecialOrthogonal, x, y, v, conv::ActionDirection)
    return translate_diff(G, inv(G, x), y, v, conv)
end

function inverse_translate_diff!(G::SpecialOrthogonal, vout, x, y, v, conv::ActionDirection)
    return copyto!(vout, inverse_translate_diff(G, x, y, v, conv))
end

ext: jl


text:
function ImGui_ImplOpenGL3_RenderWindow(viewport::Ptr{ImGuiViewport}, gl_ctx_ptr::Ptr{Cvoid})::Cvoid
    if !(unsafe_load(viewport.Flags) & ImGuiViewportFlags_NoRendererClear == ImGuiViewportFlags_NoRendererClear)
        glClearColor(0.0f0, 0.0f0, 0.0f0, 1.0f0)
        glClear(GL_COLOR_BUFFER_BIT)
    end
    # TODO: submit this to upstream
    dpi_scale = unsafe_load(viewport.DpiScale)
    draw_data = unsafe_load(viewport.DrawData)
    if unsafe_load(draw_data.FramebufferScale.x) != dpi_scale
        draw_data.FramebufferScale.x = dpi_scale
        draw_data.FramebufferScale.y = dpi_scale
    end
    ImGui_ImplOpenGL3_RenderDrawData(unsafe_pointer_to_objref(gl_ctx_ptr), draw_data)
    return nothing
end

function ImGui_ImplOpenGL3_InitPlatformInterface()
    platform_io::Ptr{ImGuiPlatformIO} = igGetPlatformIO()
    platform_io.Renderer_RenderWindow = @cfunction(ImGui_ImplOpenGL3_RenderWindow, Cvoid, (Ptr{ImGuiViewport}, Ptr{Cvoid}))
    return true
end

ImGui_ImplOpenGL3_ShutdownPlatformInterface() = igDestroyPlatformWindows()


text:
function wdot(wx::AbstractArray{T}, x::AbstractArray{T},
                 wy::AbstractArray{T}, y::AbstractArray{T}) where T
    out = zero(T)
    @inbounds @simd for i in 1:length(x)
        out += wx[i]*x[i] * wy[i]*y[i]
    end
    return out
end

wnorm(w, x) = sqrt(wdot(w, x, w, x))
assess_convergence(f, ftol) = assess_convergence(NaN, NaN, f, NaN, ftol)
function assess_convergence(x,
                            x_previous,
                            f,
                            xtol,
                            ftol)
    x_converged, f_converged = false, false

    if !any(isnan, x_previous) && chebyshev(x, x_previous) <= xtol
        x_converged = true
    end

    if maximum(abs, f) <= ftol
        f_converged = true
    end

    converged = x_converged || f_converged

    return x_converged, f_converged, converged
end

function check_isfinite(x::AbstractArray)
    if any((y)->!isfinite(y),x)
        i = findall((!).(isfinite.(x)))
        throw(IsFiniteException(i))
    end
end


text:
##################################################################################
# This file is part of StateSpaceEcon.jl
# BSD 3-Clause License
# Copyright (c) 2020, Bank of Canada
# All rights reserved.
##################################################################################

"""
    StateSpaceEcon

A package for Macroeconomic modelling.

"""
module StateSpaceEcon

using TimeSeriesEcon
using ModelBaseEcon
# using ModelBaseEcon.OptionsMod
# using ModelBaseEcon.Timer

include("simdata.jl")
include("misc.jl")
include("SteadyStateSolver.jl")
include("Plans.jl")
include("plandata.jl")
include("StackedTimeSolver.jl")
include("plotrecipes.jl")

end # module


text:
abstract type AbstractFlowDynamics end

function flow!(balls::Vector{<:MovableBall}, t, flow_type::AbstractFlowDynamics)
	for ball in balls
		flow!(ball, t, flow_type)
	end
end

max_stars_repo_name: dpsanders/HardSphereDynamics

max_forks_repo_name: dpsanders/HardSphereDynamics


text:
mkpath("problems")
function write_file(problem; folder_name="MMKP/problems")
	path = joinpath(folder_name, problem.id["id"]) * ".mps"
	write_to_file(problem.model, path)
end
write_file.(problems)

max_stars_repo_name: Dibillilia/JuliaOptHeuristics

max_issues_repo_name: Dibillilia/JuliaOptHeuristics

max_forks_repo_name: Dibillilia/JuliaOptHeuristics


text:
module ClassicalMethods

using NQCDynamics:
    NQCDynamics,
    AbstractSimulation,
    Simulation,
    RingPolymerSimulation,
    DynamicsUtils,
    DynamicsMethods,
    Estimators,
    RingPolymers
using NQCDynamics.Calculators: Calculators
using NQCBase: Atoms
using NQCModels: Model, ndofs

include("classical.jl")
export Classical
include("langevin.jl")
export Langevin, ThermalLangevin
include("mdef.jl")
export MDEF

const ClassicalMethodUnion = Union{Classical, Langevin, ThermalLangevin, MDEF}

function DynamicsUtils.classical_hamiltonian(sim::AbstractSimulation{<:ClassicalMethodUnion}, u)
    kinetic = DynamicsUtils.classical_kinetic_energy(sim, DynamicsUtils.get_velocities(u))
    potential = DynamicsUtils.classical_potential_energy(sim, DynamicsUtils.get_positions(u))
    return kinetic + potential
end

end # module


text:
using ASCIIPlots, LinearAlgebra, Test
eye(n) = Matrix{Float64}(I,n,n)

A = eye(10)
p = imagesc(A)
@test p.s == "\n\n\t@#                  \n\t  @#                \n\t    @#              \n\t      @#            \n\t        @#          \n\t          @#        \n\t            @#      \n\t              @#    \n\t                @#  \n\t                  @#\n\n"

A = eye(20)
imagesc(A)

A = eye(10)
imagesc(A)
A[10, 1] = 1
A[1, 10] = 1
imagesc(A)

A = randn(10, 10)
imagesc(A)


text:
# mathematical constants related to statistics

@irrational twoπ   6.2831853071795864769 big(π) * 2.0
@irrational fourπ  12.566370614359172954 big(π) * 4.0
@irrational halfπ  1.5707963267948966192 big(π) * 0.5
@irrational quartπ 0.7853981633974483096 big(π) * 0.25

@irrational invπ     0.31830988618379067154 inv(big(π))
@irrational twoinvπ  0.63661977236758134308 big(invπ) * 2.0
@irrational fourinvπ 1.27323954473516268615 big(invπ) * 4.0
@irrational inv2π    0.159154943091895335769 big(invπ) * 0.5
@irrational inv4π    0.079577471545947667884 big(invπ) * 0.25

@irrational sqrt2     1.4142135623730950488 sqrt(big(2.0))
@irrational sqrt3     1.7320508075688772935 sqrt(big(3.0))
@irrational sqrtπ     1.7724538509055160273 sqrt(big(π))
@irrational sqrt2π    2.5066282746310005024 sqrt(big(π) * 2.0)
@irrational sqrt4π    3.5449077018110320546 sqrt(big(π) * 4.0)
@irrational sqrthalfπ 1.2533141373155002512 sqrt(big(0.5)*π)

@irrational invsqrt2  0.7071067811865475244 inv(big(sqrt2))
@irrational invsqrt2π 0.3989422804014326779 inv(big(sqrt2π))


text:
@testset "fc" begin
    config = [2, 20,20,20,3]
    x = constant(rand(10,2))
    θ = ae_init(config)
    u, du = fc(x, config[2:end], θ)
    y = ae(x, config[2:end], θ)

    @test run(sess, u) ≈ run(sess, y)

    DU = run(sess, du)
    @test run(sess, tf.gradients(y[:,1], x)[1]) ≈ DU[:,1,:]
    @test run(sess, tf.gradients(y[:,2], x)[1]) ≈ DU[:,2,:]
    @test run(sess, tf.gradients(y[:,3], x)[1]) ≈ DU[:,3,:]
end


text:
############################
# Basic box problem        #
# Set up dimensions of box #
############################
abstract type AbstractSimpleBoxProblem <: AbstractHydrostaticBoussinesqProblem end

"""
    SimpleBoxProblem <: AbstractSimpleBoxProblem

Stub structure with the dimensions of the box.
Lˣ = zonal (east-west) length
Lʸ = meridional (north-south) length
H  = height of the ocean
"""
struct SimpleBoxProblem{T} <: AbstractSimpleBoxProblem
    Lˣ::T
    Lʸ::T
    H::T
end

"""
    ocean_init_aux!(::HBModel, ::AbstractSimpleBoxProblem)

save y coordinate for computing coriolis, wind stress, and sea surface temperature

# Arguments
- `m`: model object to dispatch on and get viscosities and diffusivities
- `p`: problem object to dispatch on and get additional parameters
- `A`: auxiliary state vector
- `geom`: geometry stuff
"""
function ocean_init_aux!(m::HBModel, p::AbstractSimpleBoxProblem, A, geom)
    FT = eltype(A)
    @inbounds A.y = geom.coord[2]

    # not sure if this is needed but getting weird intialization stuff
    A.w = 0
    A.pkin = 0
    A.wz0 = 0

    return nothing
end

##########################
# Homogenous wind stress #
# Constant temperature   #
##########################

"""
    HomogeneousBox <: AbstractSimpleBoxProblem

Container structure for a simple box problem with wind-stress and coriolis force.
Lˣ = zonal (east-west) length
Lʸ = meridional (north-south) length
H  = height of the ocean
τₒ = maximum value of wind-stress (amplitude)
fₒ = first coriolis parameter (constant term)
β  = second coriolis parameter (linear term)
"""
struct HomogeneousBox{T} <: AbstractSimpleBoxProblem
    Lˣ::T
    Lʸ::T
    H::T
    τₒ::T
    function HomogeneousBox{FT}(
        Lˣ,
        Lʸ,
        H;
        τₒ = FT(1e-1),  # (m/s)^2
    ) where {FT <: AbstractFloat}
        return new{FT}(Lˣ, Lʸ, H, τₒ)
    end
end

"""
    ocean_boundary_state!(::HBModel, ::HomogeneousBox)

dispatches to the correct boundary condition based on bctype
bctype 1 => Coastline => Apply No Slip BC conditions
bctype 2 => OceanFloor => Apply Free Slip BC conditions
bctype 3 => OceanSurface => Apply Windstress but not temperature forcing
"""
@inline function ocean_boundary_state!(
    m::HBModel,
    p::HomogeneousBox,
    bctype,
    x...,
)
    if bctype == 1
        return ocean_boundary_state!(m, CoastlineNoSlip(), x...)
    elseif bctype == 2
        return ocean_boundary_state!(m, OceanFloorFreeSlip(), x...)
    elseif bctype == 3
        return ocean_boundary_state!(m, OceanSurfaceStressNoForcing(), x...)
    end
end

"""
    ocean_init_state!(::HomogeneousBox)

initialize u,v with random values, η with 0, and θ with a constant (20)

# Arguments
- `p`: HomogeneousBox problem object, used to dispatch on
- `Q`: state vector
- `A`: auxiliary state vector, not used
- `coords`: the coordidinates, not used
- `t`: time to evaluate at, not used
"""
function ocean_init_state!(p::HomogeneousBox, Q, A, coords, t)
    Q.u = @SVector [rand(), rand()]
    Q.η = 0
    Q.θ = 20

    return nothing
end

"""
    velocity_flux(::HomogeneousBox)

jet stream like windstress

# Arguments
- `p`: problem object to dispatch on and get additional parameters
- `y`: y-coordinate in the box
"""
@inline velocity_flux(p::HomogeneousBox, y, ρ) = -(p.τₒ / ρ) * cos(y * π / p.Lʸ)

##########################
# Homogenous wind stress #
# Temperature forcing    #
##########################

"""
    OceanGyre <: AbstractSimpleBoxProblem

Container structure for a simple box problem with wind-stress, coriolis force, and temperature forcing.
Lˣ = zonal (east-west) length
Lʸ = meridional (north-south) length
H  = height of the ocean
τₒ = maximum value of wind-stress (amplitude)
λʳ = temperature relaxation penetration constant (meters / second)
θᴱ = maximum surface temperature
"""
struct OceanGyre{T} <: AbstractSimpleBoxProblem
    Lˣ::T
    Lʸ::T
    H::T
    τₒ::T
    λʳ::T
    θᴱ::T
    function OceanGyre{FT}(
        Lˣ,
        Lʸ,
        H;
        τₒ = FT(1e-1),       # (m/s)^2
        λʳ = FT(4 // 86400), # m / s
        θᴱ = FT(10),         # K
    ) where {FT <: AbstractFloat}
        return new{FT}(Lˣ, Lʸ, H, τₒ, λʳ, θᴱ)
    end
end

"""
    ocean_boundary_state(::HBModel, ::OceanGyre)

dispatches to the correct boundary condition based on bctype
bctype 1 => Coastline => Apply No Slip BC conditions
bctype 2 => OceanFloor => Apply Free Slip BC conditions
bctype 3 => OceanSurface => Apply wind-stress and  temperature forcing
"""
@inline function ocean_boundary_state!(m::HBModel, p::OceanGyre, bctype, x...)
    if bctype == 1
        ocean_boundary_state!(m, CoastlineNoSlip(), x...)
    elseif bctype == 2
        ocean_boundary_state!(m, OceanFloorNoSlip(), x...)
    elseif bctype == 3
        ocean_boundary_state!(m, OceanSurfaceStressForcing(), x...)
    end
end

"""
    ocean_init_state!(::OceanGyre)

initialize u,v,η with 0 and θ linearly distributed between 9 at z=0 and 1 at z=H

# Arguments
- `p`: OceanGyre problem object, used to dispatch on and obtain ocean height H
- `Q`: state vector
- `A`: auxiliary state vector, not used
- `coords`: the coordidinates
- `t`: time to evaluate at, not used
"""
function ocean_init_state!(p::OceanGyre, Q, A, coords, t)
    @inbounds y = coords[2]
    @inbounds z = coords[3]
    @inbounds H = p.H

    Q.u = @SVector [0, 0]
    Q.η = 0
    Q.θ = (5 + 4 * cos(y * π / p.Lʸ)) * (1 + z / H)

    return nothing
end

"""
    velocity_flux(::OceanGyre)

jet stream like windstress

# Arguments
- `p`: problem object to dispatch on and get additional parameters
- `y`: y-coordinate in the box
"""
@inline velocity_flux(p::OceanGyre, y, ρ) = -(p.τₒ / ρ) * cos(y * π / p.Lʸ)

"""
    temperature_flux(::OceanGyre)

cool-warm north-south linear temperature gradient

# Arguments
- `p`: problem object to dispatch on and get additional parameters
- `y`: y-coordinate in the box
- `θ`: temperature within element on boundary
"""
@inline function temperature_flux(p::OceanGyre, y, θ)
    θʳ = p.θᴱ * (1 - y / p.Lʸ)
    return p.λʳ * (θʳ - θ)
end

max_stars_repo_name: trontrytel/CLIMA

max_issues_repo_name: trontrytel/CLIMA

max_forks_repo_name: trontrytel/CLIMA


text:
"""
    dreduce(step, xform::Transducer, array; [init, simd, basesize, pool])

Distributed.jl-based parallelization of `reduce`.  Input collection must
be indexable.

Unlike [`reduce`](@ref), early termination by [`reduced`](@ref) is not
supported yet.

!!! compat "Transducers.jl 0.4.3"

    New in version 0.4.3.

# Keyword Arguments
- `pool::AbstractWorkerPool`: Passed to `Distributed.remotecall`.
- `basesize::Integer = length(array) ÷ nworkers()`: A size of chunk in
  `array` that is processed by each worker.  A smaller size may be
  required when computation time for processing each item can
  fluctuate a lot.
- For other keyword arguments, see [`foldl`](@ref).

# Examples
```jldoctest
julia> using Transducers
       using Distributed
       using BangBang

julia> dreduce(append!!, Map(vcat), 1:3; init=Union{}[])
3-element Array{Int64,1}:
 1
 2
 3
```
"""
dreduce(step, xform::Transducer, itr; init=MissingInit(), kwargs...) =
    unreduced(dtransduce(xform, Completing(step), init, itr; kwargs...))

"""
    dtransduce(xform::Transducer, step, init, array; [simd, basesize, pool])

See [`dreduce`](@ref) and [`transduce`](@ref).
"""
function dtransduce(
    xform::Transducer, step, init, coll;
    simd::SIMDFlag = Val(false),
    basesize::Integer = length(coll) ÷ Distributed.nworkers(),
    pool::Distributed.AbstractWorkerPool = Distributed.default_worker_pool(),
    _remote_foldl = _remote_foldl,
)
    @argcheck basesize > 0
    load_me_everywhere()
    rf = maybe_usesimd(Reduction(xform, step), simd)
    futures = map(firstindex(coll):basesize:lastindex(coll)) do start
        Distributed.remotecall(
            _remote_foldl,
            pool,
            rf,
            init,
            coll[start:min(end, start - 1 + basesize)],
        )
    end
    # TODO: Cancel remote computation when there is a Reduced.
    results = map(fetch, futures)
    i = findfirst(isreduced, results)
    i === nothing || return results[i]
    c = foldl(results) do a, b
        combine(rf, a, b)
    end
    return complete(rf, c)
end

function _remote_foldl(rf, init, coll)
    acc = _start_init(rf, init)
    return foldl_nocomplete(rf, acc, coll)
end

function load_me_everywhere()
    pkgid = Base.PkgId(@__MODULE__)
    @everywhere Base.require($pkgid)
end