def create_compute_environment(computeEnvironmentName=None, type=None,
    state=None, computeResources=None, serviceRole=None):
    """
    Creates an AWS Batch compute environment. You can create MANAGED or UNMANAGED compute environments.
    In a managed compute environment, AWS Batch manages the compute resources within the environment, based on the compute resources that you specify. Instances launched into a managed compute environment use the latest Amazon ECS-optimized AMI. You can choose to use Amazon EC2 On-Demand instances in your managed compute environment, or you can use Amazon EC2 Spot instances that only launch when the Spot bid price is below a specified percentage of the On-Demand price.
    In an unmanaged compute environment, you can manage your own compute resources. This provides more compute resource configuration options, such as using a custom AMI, but you must ensure that your AMI meets the Amazon ECS container instance AMI specification. For more information, see Container Instance AMIs in the Amazon EC2 Container Service Developer Guide . After you have created your unmanaged compute environment, you can use the  DescribeComputeEnvironments operation to find the Amazon ECS cluster that is associated with it and then manually launch your container instances into that Amazon ECS cluster. For more information, see Launching an Amazon ECS Container Instance in the Amazon EC2 Container Service Developer Guide .
    See also: AWS API Documentation
    
    Examples
    This example creates a managed compute environment with specific C4 instance types that are launched on demand. The compute environment is called C4OnDemand.
    Expected Output:
    This example creates a managed compute environment with the M4 instance type that is launched when the Spot bid price is at or below 20% of the On-Demand price for the instance type. The compute environment is called M4Spot.
    Expected Output:
    
    :example: response = client.create_compute_environment(
        computeEnvironmentName='string',
        type='MANAGED'|'UNMANAGED',
        state='ENABLED'|'DISABLED',
        computeResources={
            'type': 'EC2'|'SPOT',
            'minvCpus': 123,
            'maxvCpus': 123,
            'desiredvCpus': 123,
            'instanceTypes': [
                'string',
            ],
            'imageId': 'string',
            'subnets': [
                'string',
            ],
            'securityGroupIds': [
                'string',
            ],
            'ec2KeyPair': 'string',
            'instanceRole': 'string',
            'tags': {
                'string': 'string'
            },
            'bidPercentage': 123,
            'spotIamFleetRole': 'string'
        },
        serviceRole='string'
    )
    
    
    :type computeEnvironmentName: string
    :param computeEnvironmentName: [REQUIRED]
            The name for your compute environment. Up to 128 letters (uppercase and lowercase), numbers, and underscores are allowed.
            

    :type type: string
    :param type: [REQUIRED]
            The type of the compute environment.
            

    :type state: string
    :param state: The state of the compute environment. If the state is ENABLED , then the compute environment accepts jobs from a queue and can scale out automatically based on queues.

    :type computeResources: dict
    :param computeResources: Details of the compute resources managed by the compute environment. This parameter is required for managed compute environments.
            type (string) -- [REQUIRED]The type of compute environment.
            minvCpus (integer) -- [REQUIRED]The minimum number of EC2 vCPUs that an environment should maintain.
            maxvCpus (integer) -- [REQUIRED]The maximum number of EC2 vCPUs that an environment can reach.
            desiredvCpus (integer) --The desired number of EC2 vCPUS in the compute environment.
            instanceTypes (list) -- [REQUIRED]The instances types that may launched.
            (string) --
            imageId (string) --The Amazon Machine Image (AMI) ID used for instances launched in the compute environment.
            subnets (list) -- [REQUIRED]The VPC subnets into which the compute resources are launched.
            (string) --
            securityGroupIds (list) -- [REQUIRED]The EC2 security group that is associated with instances launched in the compute environment.
            (string) --
            ec2KeyPair (string) --The EC2 key pair that is used for instances launched in the compute environment.
            instanceRole (string) -- [REQUIRED]The Amazon ECS instance role applied to Amazon EC2 instances in a compute environment.
            tags (dict) --Key-value pair tags to be applied to resources that are launched in the compute environment.
            (string) --
            (string) --
            
            bidPercentage (integer) --The minimum percentage that a Spot Instance price must be when compared with the On-Demand price for that instance type before instances are launched. For example, if your bid percentage is 20%, then the Spot price must be below 20% of the current On-Demand price for that EC2 instance.
            spotIamFleetRole (string) --The Amazon Resource Name (ARN) of the Amazon EC2 Spot Fleet IAM role applied to a SPOT compute environment.
            

    :type serviceRole: string
    :param serviceRole: [REQUIRED]
            The full Amazon Resource Name (ARN) of the IAM role that allows AWS Batch to make calls to other AWS services on your behalf.
            

    :rtype: dict
    :return: {
        'computeEnvironmentName': 'string',
        'computeEnvironmentArn': 'string'
    }
    
    
    """
    pass
