patch method
Update Notebook Runtime configuration.
request - The metadata request object.
Request parameters:
name - Output only. The resource name of the runtime. Format:
projects/{project}/locations/{location}/runtimes/{runtimeId}
Value must have pattern
^projects/\[^/\]+/locations/\[^/\]+/runtimes/\[^/\]+$.
requestId - Idempotent request UUID.
updateMask - Required. Specifies the path, relative to Runtime, of the
field to update. For example, to change the software configuration
kernels, the update_mask parameter would be specified as
software_config.kernels, and the PATCH request body would specify the
new value, as follows: { "software_config":{ "kernels": [{ 'repository':
'gcr.io/deeplearning-platform-release/pytorch-gpu', 'tag': 'latest' }], }
} Currently, only the following fields can be updated: -
software_config.kernels - software_config.post_startup_script -
software_config.custom_gpu_driver_path - software_config.idle_shutdown
software_config.idle_shutdown_timeout-software_config.disable_terminal-labels
$fields - Selector specifying which fields to include in a partial
response.
Completes with a Operation.
Completes with a commons.ApiRequestError if the API endpoint returned an error.
If the used http.Client completes with an error when making a REST call,
this method will complete with the same error.
Implementation
async.Future<Operation> patch(
Runtime request,
core.String name, {
core.String? requestId,
core.String? updateMask,
core.String? $fields,
}) async {
final body_ = convert.json.encode(request);
final queryParams_ = <core.String, core.List<core.String>>{
if (requestId != null) 'requestId': [requestId],
if (updateMask != null) 'updateMask': [updateMask],
if ($fields != null) 'fields': [$fields],
};
final url_ = 'v1/' + core.Uri.encodeFull('$name');
final response_ = await _requester.request(
url_,
'PATCH',
body: body_,
queryParams: queryParams_,
);
return Operation.fromJson(response_ as core.Map<core.String, core.dynamic>);
}