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Copy file name to clipboardExpand all lines: docs/dyn/addressvalidation_v1.v1.html
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"hasInferredComponents": True or False, # At least one address component was inferred (added) that wasn't in the input, see [google.maps.addressvalidation.v1.Address.address_components] for details.
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"hasReplacedComponents": True or False, # At least one address component was replaced, see [google.maps.addressvalidation.v1.Address.address_components] for details.
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"hasUnconfirmedComponents": True or False, # At least one address component cannot be categorized or validated, see [google.maps.addressvalidation.v1.Address.address_components] for details.
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"inputGranularity": "A String", # The granularity of the **input** address. This is the result of parsing the input address and does not give any validation signals. For validation signals, refer to `validation_granularity` below. For example, if the input address includes a specific apartment number, then the `input_granularity` here will be `SUB_PREMISE`. If we cannot match the apartment number in the databases or the apartment number is invalid, the `validation_granularity` will likely be `PREMISE` or below.
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"inputGranularity": "A String", # The granularity of the **input** address. This is the result of parsing the input address and does not give any validation signals. For validation signals, refer to `validation_granularity` below. For example, if the input address includes a specific apartment number, then the `input_granularity` here will be `SUB_PREMISE`. If we cannot match the apartment number in the databases or the apartment number is invalid, the `validation_granularity` will likely be `PREMISE` or worse.
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"validationGranularity": "A String", # The granularity level that the API can fully **validate** the address to. For example, an `validation_granularity` of `PREMISE` indicates all address components at the level of `PREMISE` or more coarse can be validated. Per address component validation result can be found in [google.maps.addressvalidation.v1.Address.address_components].
Copy file name to clipboardExpand all lines: docs/dyn/admin_reports_v1.activities.html
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"ownerDomain": "A String", # This is the domain that is affected by the report's event. For example domain of Admin console or the Drive application's document owner.
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"resourceDetails": [ # Details of the resource on which the action was performed.
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{ # Details of the resource on which the action was performed.
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"applicationId": "A String", # Id of the application to which this resource belongs
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"appliedLabels": [ # List of labels applied on the resource
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{ # Details of the label applied on the resource.
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"fieldValues": [ # List of fields which are part of the label and have been set by the user. If label has a field which was not set by the user, it would not be present in this list.
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},
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],
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"id": "A String", # Identifier of the resource.
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"ownerEmail": "A String", # Owner of the resource.
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"relation": "A String", # Defines relationship of the resource to the events
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"title": "A String", # Title of the resource. For instance, in case of a drive document, this would be the title of the document. In case of an email, this would be the subject.
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"type": "A String", # Type of the resource - document, email, chat message
"createTime": "A String", # Output only. Timestamp when this Endpoint was created.
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"dedicatedEndpointDns": "A String", # Output only. DNS of the dedicated endpoint. Will only be populated if dedicated_endpoint_enabled is true. Format: `https://{endpoint_id}.{region}-{project_number}.prediction.vertexai.goog`.
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"dedicatedEndpointDns": "A String", # Output only. DNS of the dedicated endpoint. Will only be populated if dedicated_endpoint_enabled is true. Depending on the features enabled, uid might be a random number or a string. For example, if fast_tryout is enabled, uid will be fasttryout. Format: `https://{endpoint_id}.{region}-{uid}.prediction.vertexai.goog`.
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"dedicatedEndpointEnabled": True or False, # If true, the endpoint will be exposed through a dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS will be isolated from other users' traffic and will have better performance and reliability. Note: Once you enabled dedicated endpoint, you won't be able to send request to the shared DNS {region}-aiplatform.googleapis.com. The limitation will be removed soon.
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"deployedModels": [ # Output only. The models deployed in this Endpoint. To add or remove DeployedModels use EndpointService.DeployModel and EndpointService.UndeployModel respectively.
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{ # A deployment of a Model. Endpoints contain one or more DeployedModels.
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},
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],
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"totalTokenCount": 42, # Total token count for prompt, response candidates, and tool-use prompts (if present).
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"trafficType": "A String", # Output only. Traffic type. This shows whether a request consumes Pay-As-You-Go or Provisioned Throughput quota.
"createTime": "A String", # Output only. Timestamp when this Endpoint was created.
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"dedicatedEndpointDns": "A String", # Output only. DNS of the dedicated endpoint. Will only be populated if dedicated_endpoint_enabled is true. Format: `https://{endpoint_id}.{region}-{project_number}.prediction.vertexai.goog`.
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"dedicatedEndpointDns": "A String", # Output only. DNS of the dedicated endpoint. Will only be populated if dedicated_endpoint_enabled is true. Depending on the features enabled, uid might be a random number or a string. For example, if fast_tryout is enabled, uid will be fasttryout. Format: `https://{endpoint_id}.{region}-{uid}.prediction.vertexai.goog`.
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"dedicatedEndpointEnabled": True or False, # If true, the endpoint will be exposed through a dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS will be isolated from other users' traffic and will have better performance and reliability. Note: Once you enabled dedicated endpoint, you won't be able to send request to the shared DNS {region}-aiplatform.googleapis.com. The limitation will be removed soon.
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"deployedModels": [ # Output only. The models deployed in this Endpoint. To add or remove DeployedModels use EndpointService.DeployModel and EndpointService.UndeployModel respectively.
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{ # A deployment of a Model. Endpoints contain one or more DeployedModels.
"createTime": "A String", # Output only. Timestamp when this Endpoint was created.
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"dedicatedEndpointDns": "A String", # Output only. DNS of the dedicated endpoint. Will only be populated if dedicated_endpoint_enabled is true. Format: `https://{endpoint_id}.{region}-{project_number}.prediction.vertexai.goog`.
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"dedicatedEndpointDns": "A String", # Output only. DNS of the dedicated endpoint. Will only be populated if dedicated_endpoint_enabled is true. Depending on the features enabled, uid might be a random number or a string. For example, if fast_tryout is enabled, uid will be fasttryout. Format: `https://{endpoint_id}.{region}-{uid}.prediction.vertexai.goog`.
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"dedicatedEndpointEnabled": True or False, # If true, the endpoint will be exposed through a dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS will be isolated from other users' traffic and will have better performance and reliability. Note: Once you enabled dedicated endpoint, you won't be able to send request to the shared DNS {region}-aiplatform.googleapis.com. The limitation will be removed soon.
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"deployedModels": [ # Output only. The models deployed in this Endpoint. To add or remove DeployedModels use EndpointService.DeployModel and EndpointService.UndeployModel respectively.
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{ # A deployment of a Model. Endpoints contain one or more DeployedModels.
"createTime": "A String", # Output only. Timestamp when this Endpoint was created.
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"dedicatedEndpointDns": "A String", # Output only. DNS of the dedicated endpoint. Will only be populated if dedicated_endpoint_enabled is true. Format: `https://{endpoint_id}.{region}-{project_number}.prediction.vertexai.goog`.
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"dedicatedEndpointDns": "A String", # Output only. DNS of the dedicated endpoint. Will only be populated if dedicated_endpoint_enabled is true. Depending on the features enabled, uid might be a random number or a string. For example, if fast_tryout is enabled, uid will be fasttryout. Format: `https://{endpoint_id}.{region}-{uid}.prediction.vertexai.goog`.
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"dedicatedEndpointEnabled": True or False, # If true, the endpoint will be exposed through a dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS will be isolated from other users' traffic and will have better performance and reliability. Note: Once you enabled dedicated endpoint, you won't be able to send request to the shared DNS {region}-aiplatform.googleapis.com. The limitation will be removed soon.
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"deployedModels": [ # Output only. The models deployed in this Endpoint. To add or remove DeployedModels use EndpointService.DeployModel and EndpointService.UndeployModel respectively.
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{ # A deployment of a Model. Endpoints contain one or more DeployedModels.
"createTime": "A String", # Output only. Timestamp when this Endpoint was created.
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"dedicatedEndpointDns": "A String", # Output only. DNS of the dedicated endpoint. Will only be populated if dedicated_endpoint_enabled is true. Format: `https://{endpoint_id}.{region}-{project_number}.prediction.vertexai.goog`.
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"dedicatedEndpointDns": "A String", # Output only. DNS of the dedicated endpoint. Will only be populated if dedicated_endpoint_enabled is true. Depending on the features enabled, uid might be a random number or a string. For example, if fast_tryout is enabled, uid will be fasttryout. Format: `https://{endpoint_id}.{region}-{uid}.prediction.vertexai.goog`.
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"dedicatedEndpointEnabled": True or False, # If true, the endpoint will be exposed through a dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS will be isolated from other users' traffic and will have better performance and reliability. Note: Once you enabled dedicated endpoint, you won't be able to send request to the shared DNS {region}-aiplatform.googleapis.com. The limitation will be removed soon.
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"deployedModels": [ # Output only. The models deployed in this Endpoint. To add or remove DeployedModels use EndpointService.DeployModel and EndpointService.UndeployModel respectively.
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{ # A deployment of a Model. Endpoints contain one or more DeployedModels.
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"totalTokenCount": 42, # Total token count for prompt, response candidates, and tool-use prompts (if present).
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"trafficType": "A String", # Output only. Traffic type. This shows whether a request consumes Pay-As-You-Go or Provisioned Throughput quota.
"createTime": "A String", # Output only. Timestamp when this Endpoint was created.
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"dedicatedEndpointDns": "A String", # Output only. DNS of the dedicated endpoint. Will only be populated if dedicated_endpoint_enabled is true. Format: `https://{endpoint_id}.{region}-{project_number}.prediction.vertexai.goog`.
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"dedicatedEndpointDns": "A String", # Output only. DNS of the dedicated endpoint. Will only be populated if dedicated_endpoint_enabled is true. Depending on the features enabled, uid might be a random number or a string. For example, if fast_tryout is enabled, uid will be fasttryout. Format: `https://{endpoint_id}.{region}-{uid}.prediction.vertexai.goog`.
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"dedicatedEndpointEnabled": True or False, # If true, the endpoint will be exposed through a dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS will be isolated from other users' traffic and will have better performance and reliability. Note: Once you enabled dedicated endpoint, you won't be able to send request to the shared DNS {region}-aiplatform.googleapis.com. The limitation will be removed soon.
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"deployedModels": [ # Output only. The models deployed in this Endpoint. To add or remove DeployedModels use EndpointService.DeployModel and EndpointService.UndeployModel respectively.
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{ # A deployment of a Model. Endpoints contain one or more DeployedModels.
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