# This is an automatically generated code sample.
# To make this code sample work in your Oracle Cloud tenancy,
# please replace the values for any parameters whose current values do not fit
# your use case (such as resource IDs, strings containing ‘EXAMPLE’ or ‘unique_id’, and
# boolean, number, and enum parameters with values not fitting your use case).

import oci

# Create a default config using DEFAULT profile in default location
# Refer to
# https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/sdkconfig.htm#SDK_and_CLI_Configuration_File
# for more info
config = oci.config.from_file()


# Initialize service client with default config file
data_science_client = oci.data_science.DataScienceClient(config)


# Send the request to service, some parameters are not required, see API
# doc for more info
update_compute_target_response = data_science_client.update_compute_target(
    compute_target_id="ocid1.test.oc1..<unique_ID>EXAMPLE-computeTargetId-Value",
    update_compute_target_details=oci.data_science.models.UpdateComputeTargetDetails(
        display_name="EXAMPLE-displayName-Value",
        description="EXAMPLE-description-Value",
        metadata={
            'EXAMPLE_KEY_WsYue': 'EXAMPLE_VALUE_UYjAeC7HWAeUVDsvNzSF'},
        compute_configuration_details=oci.data_science.models.UpdateManagedComputeClusterConfigurationDetails(
            compute_type="MANAGED_COMPUTE_CLUSTER",
            instance_configuration=oci.data_science.models.UpdateManagedComputeClusterInstanceConfigurationDetails(
                instance_shape="EXAMPLE-instanceShape-Value",
                boot_volume_size_in_gbs=280,
                instance_shape_details=oci.data_science.models.ManagedComputeClusterInstanceShapeDetails(
                    ocpus=8448.623,
                    memory_in_gbs=4793.614)),
            scaling_policy=oci.data_science.models.ManagedComputeClusterAutoScalingPolicy(
                policy_type="AUTOSCALING",
                auto_scaling_policies=[
                    oci.data_science.models.ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails(
                        auto_scaling_policy_type="THRESHOLD",
                        rules=[
                            oci.data_science.models.ManagedComputeClusterPredefinedMetricExpressionRule(
                                metric_expression_rule_type="PREDEFINED_EXPRESSION",
                                metric_type="CPU_UTILIZATION",
                                scale_in_configuration=oci.data_science.models.ManagedComputeClusterPredefinedExpressionThresholdScalingConfiguration(
                                    scaling_configuration_type="THRESHOLD",
                                    threshold=872,
                                    pending_duration="EXAMPLE-pendingDuration-Value",
                                    instance_count_adjustment=141))],
                        maximum_instance_count=148,
                        minimum_instance_count=957,
                        initial_instance_count=524)],
                cool_down_in_seconds=582,
                is_enabled=True)),
        freeform_tags={
            'EXAMPLE_KEY_uU9Ds': 'EXAMPLE_VALUE_TLZ4wFo8VdyL0YyQprE9'},
        defined_tags={
            'EXAMPLE_KEY_Hofi0': {
                'EXAMPLE_KEY_hfeJH': 'EXAMPLE--Value'}}),
    opc_request_id="EAAKPSPTFG9GJWPDP9BK<unique_ID>",
    if_match="EXAMPLE-ifMatch-Value")

# Get the data from response
print(update_compute_target_response.headers)