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Copy file name to clipboardExpand all lines: docs/dyn/addressvalidation_v1.v1.html
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"dpvConfirmation": "A String", # The possible values for DPV confirmation. Returns a single character or returns no value. * `N`: Primary and any secondary number information failed to DPV confirm. * `D`: Address was DPV confirmed for the primary number only, and the secondary number information was missing. * `S`: Address was DPV confirmed for the primary number only, and the secondary number information was present but not confirmed. * `Y`: Address was DPV confirmed for primary and any secondary numbers. * Empty: If the response does not contain a `dpv_confirmation` value, the address was not submitted for DPV confirmation.
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"dpvDoorNotAccessible": "A String", # Flag indicates addresses where USPS cannot knock on a door to deliver mail. Returns a single character. * `Y`: The door is not accessible. * `N`: No indication the door is not accessible.
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"dpvDrop": "A String", # Flag indicates mail is delivered to a single receptable at a site. Returns a single character. * `Y`: The mail is delivered to a single receptable at a site. * `N`: The mail is not delivered to a single receptable at a site.
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"dpvEnhancedDeliveryCode": "A String", # Indicates that more than one DPV return code is valid for the address. Returns a single character. * `Y`: Address was DPV confirmed for primary and any secondary numbers. * `N`: Primary and any secondary number information failed to DPV confirm. * `S`: Address was DPV confirmed for the primary number only, and the secondary number information was present by not confirmed, or a single trailing alpha on a primary number was dropped to make a DPV match and secondary information required. * `D`: Address was DPV confirmed for the primary number only, and the secondary number information was missing. * `R`: Address confirmed but assigned to phantom route R777 and R779 and USPS delivery is not provided.
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"dpvEnhancedDeliveryCode": "A String", # Indicates that more than one DPV return code is valid for the address. Returns a single character. * `Y`: Address was DPV confirmed for primary and any secondary numbers. * `N`: Primary and any secondary number information failed to DPV confirm. * `S`: Address was DPV confirmed for the primary number only, and the secondary number information was present but not confirmed, or a single trailing alpha on a primary number was dropped to make a DPV match and secondary information required. * `D`: Address was DPV confirmed for the primary number only, and the secondary number information was missing. * `R`: Address confirmed but assigned to phantom route R777 and R779 and USPS delivery is not provided.
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"dpvFootnote": "A String", # The footnotes from delivery point validation. Multiple footnotes may be strung together in the same string. * `AA`: Input address matched to the ZIP+4 file * `A1`: Input address was not matched to the ZIP+4 file * `BB`: Matched to DPV (all components) * `CC`: Secondary number not matched and not required * `C1`: Secondary number not matched but required * `N1`: High-rise address missing secondary number * `M1`: Primary number missing * `M3`: Primary number invalid * `P1`: Input address PO, RR or HC box number missing * `P3`: Input address PO, RR, or HC Box number invalid * `F1`: Input address matched to a military address * `G1`: Input address matched to a general delivery address * `U1`: Input address matched to a unique ZIP code * `PB`: Input address matched to PBSA record * `RR`: DPV confirmed address with PMB information * `R1`: DPV confirmed address without PMB information * `R7`: Carrier Route R777 or R779 record * `IA`: Informed Address identified * `TA`: Primary number matched by dropping a trailing alpha
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"dpvNoSecureLocation": "A String", # Flag indicates door is accessible, but package will not be left due to security concerns. Returns a single character. * `Y`: The package will not be left due to security concerns. * `N`: No indication the package will not be left due to security concerns.
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"dpvNoStat": "A String", # Is this a no stat address or an active address? No stat addresses are ones which are not continuously occupied or addresses that the USPS does not service. Returns a single character. * `Y`: The address is not active * `N`: The address is active
name: string, Immutable. The resource name of the DeploymentResourcePool. Format: `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}` (required)
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body: object, The request body.
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The object takes the form of:
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{ # A description of resources that can be shared by multiple DeployedModels, whose underlying specification consists of a DedicatedResources.
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"createTime": "A String", # Output only. Timestamp when this DeploymentResourcePool was created.
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"dedicatedResources": { # A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration. # Required. The underlying DedicatedResources that the DeploymentResourcePool uses.
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"autoscalingMetricSpecs": [ # Immutable. The metric specifications that overrides a resource utilization metric (CPU utilization, accelerator's duty cycle, and so on) target value (default to 60 if not set). At most one entry is allowed per metric. If machine_spec.accelerator_count is above 0, the autoscaling will be based on both CPU utilization and accelerator's duty cycle metrics and scale up when either metrics exceeds its target value while scale down if both metrics are under their target value. The default target value is 60 for both metrics. If machine_spec.accelerator_count is 0, the autoscaling will be based on CPU utilization metric only with default target value 60 if not explicitly set. For example, in the case of Online Prediction, if you want to override target CPU utilization to 80, you should set autoscaling_metric_specs.metric_name to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and autoscaling_metric_specs.target to `80`.
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{ # The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count.
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"metricName": "A String", # Required. The resource metric name. Supported metrics: * For Online Prediction: * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle` * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
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"target": 42, # The target resource utilization in percentage (1% - 100%) for the given metric; once the real usage deviates from the target by a certain percentage, the machine replicas change. The default value is 60 (representing 60%) if not provided.
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},
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],
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"machineSpec": { # Specification of a single machine. # Required. Immutable. The specification of a single machine used by the prediction.
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"acceleratorCount": 42, # The number of accelerators to attach to the machine.
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"acceleratorType": "A String", # Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.
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"machineType": "A String", # Immutable. The type of the machine. See the [list of machine types supported for prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types) See the [list of machine types supported for custom training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types). For DeployedModel this field is optional, and the default value is `n1-standard-2`. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.
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"tpuTopology": "A String", # Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").
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},
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"maxReplicaCount": 42, # Immutable. The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, will use min_replica_count as the default value. The value of this field impacts the charge against Vertex CPU and GPU quotas. Specifically, you will be charged for (max_replica_count * number of cores in the selected machine type) and (max_replica_count * number of GPUs per replica in the selected machine type).
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"minReplicaCount": 42, # Required. Immutable. The minimum number of machine replicas this DeployedModel will be always deployed on. This value must be greater than or equal to 1. If traffic against the DeployedModel increases, it may dynamically be deployed onto more replicas, and as traffic decreases, some of these extra replicas may be freed.
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},
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"disableContainerLogging": True or False, # If the DeploymentResourcePool is deployed with custom-trained Models or AutoML Tabular Models, the container(s) of the DeploymentResourcePool will send `stderr` and `stdout` streams to Cloud Logging by default. Please note that the logs incur cost, which are subject to [Cloud Logging pricing](https://cloud.google.com/logging/pricing). User can disable container logging by setting this flag to true.
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"encryptionSpec": { # Represents a customer-managed encryption key spec that can be applied to a top-level resource. # Customer-managed encryption key spec for a DeploymentResourcePool. If set, this DeploymentResourcePool will be secured by this key. Endpoints and the DeploymentResourcePool they deploy in need to have the same EncryptionSpec.
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"kmsKeyName": "A String", # Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`. The key needs to be in the same region as where the compute resource is created.
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},
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"name": "A String", # Immutable. The resource name of the DeploymentResourcePool. Format: `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
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"serviceAccount": "A String", # The service account that the DeploymentResourcePool's container(s) run as. Specify the email address of the service account. If this service account is not specified, the container(s) run as a service account that doesn't have access to the resource project. Users deploying the Models to this DeploymentResourcePool must have the `iam.serviceAccounts.actAs` permission on this service account.
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}
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updateMask: string, Required. The list of fields to update.
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x__xgafv: string, V1 error format.
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Allowed values
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1 - v1 error format
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2 - v2 error format
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Returns:
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An object of the form:
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{ # This resource represents a long-running operation that is the result of a network API call.
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"done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
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"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
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"code": 42, # The status code, which should be an enum value of google.rpc.Code.
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"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
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{
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"a_key": "", # Properties of the object. Contains field @type with type URL.
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},
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],
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"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
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},
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"metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
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"a_key": "", # Properties of the object. Contains field @type with type URL.
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},
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"name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
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"response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
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"a_key": "", # Properties of the object. Contains field @type with type URL.
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