list method
Lists Tensorboards in a Location.
Request parameters:
parent - Required. The resource name of the Location to list
Tensorboards. Format: projects/{project}/locations/{location}
Value must have pattern ^projects/\[^/\]+/locations/\[^/\]+$.
filter - Lists the Tensorboards that match the filter expression.
orderBy - Field to use to sort the list.
pageSize - The maximum number of Tensorboards to return. The service may
return fewer than this value. If unspecified, at most 100 Tensorboards are
returned. The maximum value is 100; values above 100 are coerced to 100.
pageToken - A page token, received from a previous
TensorboardService.ListTensorboards call. Provide this to retrieve the
subsequent page. When paginating, all other parameters provided to
TensorboardService.ListTensorboards must match the call that provided the
page token.
readMask - Mask specifying which fields to read.
$fields - Selector specifying which fields to include in a partial
response.
Completes with a GoogleCloudAiplatformV1ListTensorboardsResponse.
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<GoogleCloudAiplatformV1ListTensorboardsResponse> list(
  core.String parent, {
  core.String? filter,
  core.String? orderBy,
  core.int? pageSize,
  core.String? pageToken,
  core.String? readMask,
  core.String? $fields,
}) async {
  final queryParams_ = <core.String, core.List<core.String>>{
    if (filter != null) 'filter': [filter],
    if (orderBy != null) 'orderBy': [orderBy],
    if (pageSize != null) 'pageSize': ['${pageSize}'],
    if (pageToken != null) 'pageToken': [pageToken],
    if (readMask != null) 'readMask': [readMask],
    if ($fields != null) 'fields': [$fields],
  };
  final url_ = 'v1/' + core.Uri.encodeFull('$parent') + '/tensorboards';
  final response_ = await _requester.request(
    url_,
    'GET',
    queryParams: queryParams_,
  );
  return GoogleCloudAiplatformV1ListTensorboardsResponse.fromJson(
    response_ as core.Map<core.String, core.dynamic>,
  );
}