# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***

import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
from ._enums import *
from ._inputs import *

__all__ = ['MachineLearningCompute']


class MachineLearningCompute(pulumi.CustomResource):
    def __init__(__self__,
                 resource_name: str,
                 opts: Optional[pulumi.ResourceOptions] = None,
                 compute_name: Optional[pulumi.Input[str]] = None,
                 identity: Optional[pulumi.Input[pulumi.InputType['IdentityArgs']]] = None,
                 location: Optional[pulumi.Input[str]] = None,
                 properties: Optional[pulumi.Input[Union[pulumi.InputType['AKSArgs'], pulumi.InputType['AmlComputeArgs'], pulumi.InputType['ComputeInstanceArgs'], pulumi.InputType['DataFactoryArgs'], pulumi.InputType['DataLakeAnalyticsArgs'], pulumi.InputType['DatabricksArgs'], pulumi.InputType['HDInsightArgs'], pulumi.InputType['VirtualMachineArgs']]]] = None,
                 resource_group_name: Optional[pulumi.Input[str]] = None,
                 sku: Optional[pulumi.Input[pulumi.InputType['SkuArgs']]] = None,
                 tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
                 workspace_name: Optional[pulumi.Input[str]] = None,
                 __props__=None,
                 __name__=None,
                 __opts__=None):
        """
        Machine Learning compute object wrapped into ARM resource envelope.

        :param str resource_name: The name of the resource.
        :param pulumi.ResourceOptions opts: Options for the resource.
        :param pulumi.Input[str] compute_name: Name of the Azure Machine Learning compute.
        :param pulumi.Input[pulumi.InputType['IdentityArgs']] identity: The identity of the resource.
        :param pulumi.Input[str] location: Specifies the location of the resource.
        :param pulumi.Input[Union[pulumi.InputType['AKSArgs'], pulumi.InputType['AmlComputeArgs'], pulumi.InputType['ComputeInstanceArgs'], pulumi.InputType['DataFactoryArgs'], pulumi.InputType['DataLakeAnalyticsArgs'], pulumi.InputType['DatabricksArgs'], pulumi.InputType['HDInsightArgs'], pulumi.InputType['VirtualMachineArgs']]] properties: Compute properties
        :param pulumi.Input[str] resource_group_name: Name of the resource group in which workspace is located.
        :param pulumi.Input[pulumi.InputType['SkuArgs']] sku: The sku of the workspace.
        :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Contains resource tags defined as key/value pairs.
        :param pulumi.Input[str] workspace_name: Name of Azure Machine Learning workspace.
        """
        if __name__ is not None:
            warnings.warn("explicit use of __name__ is deprecated", DeprecationWarning)
            resource_name = __name__
        if __opts__ is not None:
            warnings.warn("explicit use of __opts__ is deprecated, use 'opts' instead", DeprecationWarning)
            opts = __opts__
        if opts is None:
            opts = pulumi.ResourceOptions()
        if not isinstance(opts, pulumi.ResourceOptions):
            raise TypeError('Expected resource options to be a ResourceOptions instance')
        if opts.version is None:
            opts.version = _utilities.get_version()
        if opts.id is None:
            if __props__ is not None:
                raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
            __props__ = dict()

            __props__['compute_name'] = compute_name
            __props__['identity'] = identity
            __props__['location'] = location
            __props__['properties'] = properties
            if resource_group_name is None and not opts.urn:
                raise TypeError("Missing required property 'resource_group_name'")
            __props__['resource_group_name'] = resource_group_name
            __props__['sku'] = sku
            __props__['tags'] = tags
            if workspace_name is None and not opts.urn:
                raise TypeError("Missing required property 'workspace_name'")
            __props__['workspace_name'] = workspace_name
            __props__['name'] = None
            __props__['system_data'] = None
            __props__['type'] = None
        alias_opts = pulumi.ResourceOptions(aliases=[pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20210101:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/latest:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/latest:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/v20180301preview:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20180301preview:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/v20181119:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20181119:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/v20190501:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20190501:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/v20190601:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20190601:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/v20191101:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20191101:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/v20200101:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20200101:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/v20200218preview:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20200218preview:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/v20200301:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20200301:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/v20200401:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20200401:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/v20200501preview:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20200501preview:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/v20200515preview:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20200515preview:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/v20200601:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20200601:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/v20200801:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20200801:MachineLearningCompute"), pulumi.Alias(type_="azure-native:machinelearningservices/v20200901preview:MachineLearningCompute"), pulumi.Alias(type_="azure-nextgen:machinelearningservices/v20200901preview:MachineLearningCompute")])
        opts = pulumi.ResourceOptions.merge(opts, alias_opts)
        super(MachineLearningCompute, __self__).__init__(
            'azure-native:machinelearningservices/v20210101:MachineLearningCompute',
            resource_name,
            __props__,
            opts)

    @staticmethod
    def get(resource_name: str,
            id: pulumi.Input[str],
            opts: Optional[pulumi.ResourceOptions] = None) -> 'MachineLearningCompute':
        """
        Get an existing MachineLearningCompute resource's state with the given name, id, and optional extra
        properties used to qualify the lookup.

        :param str resource_name: The unique name of the resulting resource.
        :param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
        :param pulumi.ResourceOptions opts: Options for the resource.
        """
        opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))

        __props__ = dict()

        __props__["identity"] = None
        __props__["location"] = None
        __props__["name"] = None
        __props__["properties"] = None
        __props__["sku"] = None
        __props__["system_data"] = None
        __props__["tags"] = None
        __props__["type"] = None
        return MachineLearningCompute(resource_name, opts=opts, __props__=__props__)

    @property
    @pulumi.getter
    def identity(self) -> pulumi.Output[Optional['outputs.IdentityResponse']]:
        """
        The identity of the resource.
        """
        return pulumi.get(self, "identity")

    @property
    @pulumi.getter
    def location(self) -> pulumi.Output[Optional[str]]:
        """
        Specifies the location of the resource.
        """
        return pulumi.get(self, "location")

    @property
    @pulumi.getter
    def name(self) -> pulumi.Output[str]:
        """
        Specifies the name of the resource.
        """
        return pulumi.get(self, "name")

    @property
    @pulumi.getter
    def properties(self) -> pulumi.Output[Any]:
        """
        Compute properties
        """
        return pulumi.get(self, "properties")

    @property
    @pulumi.getter
    def sku(self) -> pulumi.Output[Optional['outputs.SkuResponse']]:
        """
        The sku of the workspace.
        """
        return pulumi.get(self, "sku")

    @property
    @pulumi.getter(name="systemData")
    def system_data(self) -> pulumi.Output['outputs.SystemDataResponse']:
        """
        Read only system data
        """
        return pulumi.get(self, "system_data")

    @property
    @pulumi.getter
    def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
        """
        Contains resource tags defined as key/value pairs.
        """
        return pulumi.get(self, "tags")

    @property
    @pulumi.getter
    def type(self) -> pulumi.Output[str]:
        """
        Specifies the type of the resource.
        """
        return pulumi.get(self, "type")

    def translate_output_property(self, prop):
        return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop

    def translate_input_property(self, prop):
        return _tables.SNAKE_TO_CAMEL_CASE_TABLE.get(prop) or prop

