dataset_service.pb.go

// Copyright 2023 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// 	protoc-gen-go v1.31.0
// 	protoc        v4.23.2
// source: google/cloud/aiplatform/v1/dataset_service.proto

package aiplatformpb

import (
	context "context"
	reflect "reflect"
	sync "sync"

	longrunningpb "cloud.google.com/go/longrunning/autogen/longrunningpb"
	_ "google.golang.org/genproto/googleapis/api/annotations"
	grpc "google.golang.org/grpc"
	codes "google.golang.org/grpc/codes"
	status "google.golang.org/grpc/status"
	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
	_ "google.golang.org/protobuf/types/known/emptypb"
	fieldmaskpb "google.golang.org/protobuf/types/known/fieldmaskpb"
)

const (
	// Verify that this generated code is sufficiently up-to-date.
	_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
	// Verify that runtime/protoimpl is sufficiently up-to-date.
	_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)

// Request message for
// [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
type CreateDatasetRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Location to create the Dataset in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Dataset to create.
	Dataset *Dataset `protobuf:"bytes,2,opt,name=dataset,proto3" json:"dataset,omitempty"`
}

func (x *CreateDatasetRequest) Reset() {
	*x = CreateDatasetRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[0]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *CreateDatasetRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*CreateDatasetRequest) ProtoMessage() {}

func (x *CreateDatasetRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[0]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use CreateDatasetRequest.ProtoReflect.Descriptor instead.
func (*CreateDatasetRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{0}
}

func (x *CreateDatasetRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *CreateDatasetRequest) GetDataset() *Dataset {
	if x != nil {
		return x.Dataset
	}
	return nil
}

// Runtime operation information for
// [DatasetService.CreateDataset][google.cloud.aiplatform.v1.DatasetService.CreateDataset].
type CreateDatasetOperationMetadata struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}

func (x *CreateDatasetOperationMetadata) Reset() {
	*x = CreateDatasetOperationMetadata{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[1]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *CreateDatasetOperationMetadata) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*CreateDatasetOperationMetadata) ProtoMessage() {}

func (x *CreateDatasetOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[1]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use CreateDatasetOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateDatasetOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{1}
}

func (x *CreateDatasetOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
	if x != nil {
		return x.GenericMetadata
	}
	return nil
}

// Request message for
// [DatasetService.GetDataset][google.cloud.aiplatform.v1.DatasetService.GetDataset].
type GetDatasetRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the Dataset resource.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
}

func (x *GetDatasetRequest) Reset() {
	*x = GetDatasetRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[2]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *GetDatasetRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*GetDatasetRequest) ProtoMessage() {}

func (x *GetDatasetRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[2]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use GetDatasetRequest.ProtoReflect.Descriptor instead.
func (*GetDatasetRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{2}
}

func (x *GetDatasetRequest) GetName() string {
	if x != nil {
		return x.Name
	}
	return ""
}

func (x *GetDatasetRequest) GetReadMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.ReadMask
	}
	return nil
}

// Request message for
// [DatasetService.UpdateDataset][google.cloud.aiplatform.v1.DatasetService.UpdateDataset].
type UpdateDatasetRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The Dataset which replaces the resource on the server.
	Dataset *Dataset `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// Required. The update mask applies to the resource.
	// For the `FieldMask` definition, see
	// [google.protobuf.FieldMask][google.protobuf.FieldMask]. Updatable fields:
	//
	//   * `display_name`
	//   * `description`
	//   * `labels`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
}

func (x *UpdateDatasetRequest) Reset() {
	*x = UpdateDatasetRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[3]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *UpdateDatasetRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*UpdateDatasetRequest) ProtoMessage() {}

func (x *UpdateDatasetRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[3]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use UpdateDatasetRequest.ProtoReflect.Descriptor instead.
func (*UpdateDatasetRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{3}
}

func (x *UpdateDatasetRequest) GetDataset() *Dataset {
	if x != nil {
		return x.Dataset
	}
	return nil
}

func (x *UpdateDatasetRequest) GetUpdateMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.UpdateMask
	}
	return nil
}

// Request message for
// [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
type ListDatasetsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the Dataset's parent resource.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// An expression for filtering the results of the request. For field names
	// both snake_case and camelCase are supported.
	//
	//   * `display_name`: supports = and !=
	//   * `metadata_schema_uri`: supports = and !=
	//   * `labels` supports general map functions that is:
	//     * `labels.key=value` - key:value equality
	//     * `labels.key:* or labels:key - key existence
	//     * A key including a space must be quoted. `labels."a key"`.
	//
	// Some examples:
	//
	//   * `displayName="myDisplayName"`
	//   * `labels.myKey="myValue"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//
	//   * `display_name`
	//   * `create_time`
	//   * `update_time`
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
}

func (x *ListDatasetsRequest) Reset() {
	*x = ListDatasetsRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[4]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ListDatasetsRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ListDatasetsRequest) ProtoMessage() {}

func (x *ListDatasetsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[4]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListDatasetsRequest.ProtoReflect.Descriptor instead.
func (*ListDatasetsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{4}
}

func (x *ListDatasetsRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *ListDatasetsRequest) GetFilter() string {
	if x != nil {
		return x.Filter
	}
	return ""
}

func (x *ListDatasetsRequest) GetPageSize() int32 {
	if x != nil {
		return x.PageSize
	}
	return 0
}

func (x *ListDatasetsRequest) GetPageToken() string {
	if x != nil {
		return x.PageToken
	}
	return ""
}

func (x *ListDatasetsRequest) GetReadMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.ReadMask
	}
	return nil
}

func (x *ListDatasetsRequest) GetOrderBy() string {
	if x != nil {
		return x.OrderBy
	}
	return ""
}

// Response message for
// [DatasetService.ListDatasets][google.cloud.aiplatform.v1.DatasetService.ListDatasets].
type ListDatasetsResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// A list of Datasets that matches the specified filter in the request.
	Datasets []*Dataset `protobuf:"bytes,1,rep,name=datasets,proto3" json:"datasets,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}

func (x *ListDatasetsResponse) Reset() {
	*x = ListDatasetsResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[5]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ListDatasetsResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ListDatasetsResponse) ProtoMessage() {}

func (x *ListDatasetsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[5]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListDatasetsResponse.ProtoReflect.Descriptor instead.
func (*ListDatasetsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{5}
}

func (x *ListDatasetsResponse) GetDatasets() []*Dataset {
	if x != nil {
		return x.Datasets
	}
	return nil
}

func (x *ListDatasetsResponse) GetNextPageToken() string {
	if x != nil {
		return x.NextPageToken
	}
	return ""
}

// Request message for
// [DatasetService.DeleteDataset][google.cloud.aiplatform.v1.DatasetService.DeleteDataset].
type DeleteDatasetRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Dataset to delete.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *DeleteDatasetRequest) Reset() {
	*x = DeleteDatasetRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[6]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *DeleteDatasetRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*DeleteDatasetRequest) ProtoMessage() {}

func (x *DeleteDatasetRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[6]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use DeleteDatasetRequest.ProtoReflect.Descriptor instead.
func (*DeleteDatasetRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{6}
}

func (x *DeleteDatasetRequest) GetName() string {
	if x != nil {
		return x.Name
	}
	return ""
}

// Request message for
// [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
type ImportDataRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the Dataset resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The desired input locations. The contents of all input locations
	// will be imported in one batch.
	ImportConfigs []*ImportDataConfig `protobuf:"bytes,2,rep,name=import_configs,json=importConfigs,proto3" json:"import_configs,omitempty"`
}

func (x *ImportDataRequest) Reset() {
	*x = ImportDataRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[7]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ImportDataRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ImportDataRequest) ProtoMessage() {}

func (x *ImportDataRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[7]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ImportDataRequest.ProtoReflect.Descriptor instead.
func (*ImportDataRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{7}
}

func (x *ImportDataRequest) GetName() string {
	if x != nil {
		return x.Name
	}
	return ""
}

func (x *ImportDataRequest) GetImportConfigs() []*ImportDataConfig {
	if x != nil {
		return x.ImportConfigs
	}
	return nil
}

// Response message for
// [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
type ImportDataResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields
}

func (x *ImportDataResponse) Reset() {
	*x = ImportDataResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[8]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ImportDataResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ImportDataResponse) ProtoMessage() {}

func (x *ImportDataResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[8]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ImportDataResponse.ProtoReflect.Descriptor instead.
func (*ImportDataResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{8}
}

// Runtime operation information for
// [DatasetService.ImportData][google.cloud.aiplatform.v1.DatasetService.ImportData].
type ImportDataOperationMetadata struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}

func (x *ImportDataOperationMetadata) Reset() {
	*x = ImportDataOperationMetadata{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[9]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ImportDataOperationMetadata) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ImportDataOperationMetadata) ProtoMessage() {}

func (x *ImportDataOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[9]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ImportDataOperationMetadata.ProtoReflect.Descriptor instead.
func (*ImportDataOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{9}
}

func (x *ImportDataOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
	if x != nil {
		return x.GenericMetadata
	}
	return nil
}

// Request message for
// [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
type ExportDataRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the Dataset resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The desired output location.
	ExportConfig *ExportDataConfig `protobuf:"bytes,2,opt,name=export_config,json=exportConfig,proto3" json:"export_config,omitempty"`
}

func (x *ExportDataRequest) Reset() {
	*x = ExportDataRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[10]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ExportDataRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ExportDataRequest) ProtoMessage() {}

func (x *ExportDataRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[10]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ExportDataRequest.ProtoReflect.Descriptor instead.
func (*ExportDataRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{10}
}

func (x *ExportDataRequest) GetName() string {
	if x != nil {
		return x.Name
	}
	return ""
}

func (x *ExportDataRequest) GetExportConfig() *ExportDataConfig {
	if x != nil {
		return x.ExportConfig
	}
	return nil
}

// Response message for
// [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
type ExportDataResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// All of the files that are exported in this export operation.
	ExportedFiles []string `protobuf:"bytes,1,rep,name=exported_files,json=exportedFiles,proto3" json:"exported_files,omitempty"`
}

func (x *ExportDataResponse) Reset() {
	*x = ExportDataResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[11]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ExportDataResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ExportDataResponse) ProtoMessage() {}

func (x *ExportDataResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[11]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ExportDataResponse.ProtoReflect.Descriptor instead.
func (*ExportDataResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{11}
}

func (x *ExportDataResponse) GetExportedFiles() []string {
	if x != nil {
		return x.ExportedFiles
	}
	return nil
}

// Runtime operation information for
// [DatasetService.ExportData][google.cloud.aiplatform.v1.DatasetService.ExportData].
type ExportDataOperationMetadata struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// A Google Cloud Storage directory which path ends with '/'. The exported
	// data is stored in the directory.
	GcsOutputDirectory string `protobuf:"bytes,2,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3" json:"gcs_output_directory,omitempty"`
}

func (x *ExportDataOperationMetadata) Reset() {
	*x = ExportDataOperationMetadata{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[12]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ExportDataOperationMetadata) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ExportDataOperationMetadata) ProtoMessage() {}

func (x *ExportDataOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[12]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ExportDataOperationMetadata.ProtoReflect.Descriptor instead.
func (*ExportDataOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{12}
}

func (x *ExportDataOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
	if x != nil {
		return x.GenericMetadata
	}
	return nil
}

func (x *ExportDataOperationMetadata) GetGcsOutputDirectory() string {
	if x != nil {
		return x.GcsOutputDirectory
	}
	return ""
}

// Request message for
// [DatasetService.CreateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.CreateDatasetVersion].
type CreateDatasetVersionRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the Dataset resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The version to be created. The same CMEK policies with the
	// original Dataset will be applied the dataset version. So here we don't need
	// to specify the EncryptionSpecType here.
	DatasetVersion *DatasetVersion `protobuf:"bytes,2,opt,name=dataset_version,json=datasetVersion,proto3" json:"dataset_version,omitempty"`
}

func (x *CreateDatasetVersionRequest) Reset() {
	*x = CreateDatasetVersionRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[13]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *CreateDatasetVersionRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*CreateDatasetVersionRequest) ProtoMessage() {}

func (x *CreateDatasetVersionRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[13]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use CreateDatasetVersionRequest.ProtoReflect.Descriptor instead.
func (*CreateDatasetVersionRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{13}
}

func (x *CreateDatasetVersionRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *CreateDatasetVersionRequest) GetDatasetVersion() *DatasetVersion {
	if x != nil {
		return x.DatasetVersion
	}
	return nil
}

// Runtime operation information for
// [DatasetService.CreateDatasetVersion][google.cloud.aiplatform.v1.DatasetService.CreateDatasetVersion].
type CreateDatasetVersionOperationMetadata struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}

func (x *CreateDatasetVersionOperationMetadata) Reset() {
	*x = CreateDatasetVersionOperationMetadata{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[14]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *CreateDatasetVersionOperationMetadata) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*CreateDatasetVersionOperationMetadata) ProtoMessage() {}

func (x *CreateDatasetVersionOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[14]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use CreateDatasetVersionOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateDatasetVersionOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{14}
}

func (x *CreateDatasetVersionOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
	if x != nil {
		return x.GenericMetadata
	}
	return nil
}

// Request message for
// [DatasetService.DeleteDatasetVersion][google.cloud.aiplatform.v1.DatasetService.DeleteDatasetVersion].
type DeleteDatasetVersionRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Dataset version to delete.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *DeleteDatasetVersionRequest) Reset() {
	*x = DeleteDatasetVersionRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[15]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *DeleteDatasetVersionRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*DeleteDatasetVersionRequest) ProtoMessage() {}

func (x *DeleteDatasetVersionRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[15]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use DeleteDatasetVersionRequest.ProtoReflect.Descriptor instead.
func (*DeleteDatasetVersionRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{15}
}

func (x *DeleteDatasetVersionRequest) GetName() string {
	if x != nil {
		return x.Name
	}
	return ""
}

// Request message for
// [DatasetService.GetDatasetVersion][google.cloud.aiplatform.v1.DatasetService.GetDatasetVersion].
type GetDatasetVersionRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Dataset version to delete.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
}

func (x *GetDatasetVersionRequest) Reset() {
	*x = GetDatasetVersionRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[16]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *GetDatasetVersionRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*GetDatasetVersionRequest) ProtoMessage() {}

func (x *GetDatasetVersionRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[16]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use GetDatasetVersionRequest.ProtoReflect.Descriptor instead.
func (*GetDatasetVersionRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{16}
}

func (x *GetDatasetVersionRequest) GetName() string {
	if x != nil {
		return x.Name
	}
	return ""
}

func (x *GetDatasetVersionRequest) GetReadMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.ReadMask
	}
	return nil
}

// Request message for
// [DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1.DatasetService.ListDatasetVersions].
type ListDatasetVersionsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Dataset to list DatasetVersions from.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// Optional. A comma-separated list of fields to order by, sorted in ascending
	// order. Use "desc" after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
}

func (x *ListDatasetVersionsRequest) Reset() {
	*x = ListDatasetVersionsRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[17]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ListDatasetVersionsRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ListDatasetVersionsRequest) ProtoMessage() {}

func (x *ListDatasetVersionsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[17]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListDatasetVersionsRequest.ProtoReflect.Descriptor instead.
func (*ListDatasetVersionsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{17}
}

func (x *ListDatasetVersionsRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *ListDatasetVersionsRequest) GetFilter() string {
	if x != nil {
		return x.Filter
	}
	return ""
}

func (x *ListDatasetVersionsRequest) GetPageSize() int32 {
	if x != nil {
		return x.PageSize
	}
	return 0
}

func (x *ListDatasetVersionsRequest) GetPageToken() string {
	if x != nil {
		return x.PageToken
	}
	return ""
}

func (x *ListDatasetVersionsRequest) GetReadMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.ReadMask
	}
	return nil
}

func (x *ListDatasetVersionsRequest) GetOrderBy() string {
	if x != nil {
		return x.OrderBy
	}
	return ""
}

// Response message for
// [DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1.DatasetService.ListDatasetVersions].
type ListDatasetVersionsResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// A list of DatasetVersions that matches the specified filter in the request.
	DatasetVersions []*DatasetVersion `protobuf:"bytes,1,rep,name=dataset_versions,json=datasetVersions,proto3" json:"dataset_versions,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}

func (x *ListDatasetVersionsResponse) Reset() {
	*x = ListDatasetVersionsResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[18]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ListDatasetVersionsResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ListDatasetVersionsResponse) ProtoMessage() {}

func (x *ListDatasetVersionsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[18]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListDatasetVersionsResponse.ProtoReflect.Descriptor instead.
func (*ListDatasetVersionsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{18}
}

func (x *ListDatasetVersionsResponse) GetDatasetVersions() []*DatasetVersion {
	if x != nil {
		return x.DatasetVersions
	}
	return nil
}

func (x *ListDatasetVersionsResponse) GetNextPageToken() string {
	if x != nil {
		return x.NextPageToken
	}
	return ""
}

// Request message for
// [DatasetService.RestoreDatasetVersion][google.cloud.aiplatform.v1.DatasetService.RestoreDatasetVersion].
type RestoreDatasetVersionRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the DatasetVersion resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *RestoreDatasetVersionRequest) Reset() {
	*x = RestoreDatasetVersionRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[19]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *RestoreDatasetVersionRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*RestoreDatasetVersionRequest) ProtoMessage() {}

func (x *RestoreDatasetVersionRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[19]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use RestoreDatasetVersionRequest.ProtoReflect.Descriptor instead.
func (*RestoreDatasetVersionRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{19}
}

func (x *RestoreDatasetVersionRequest) GetName() string {
	if x != nil {
		return x.Name
	}
	return ""
}

// Runtime operation information for
// [DatasetService.RestoreDatasetVersion][google.cloud.aiplatform.v1.DatasetService.RestoreDatasetVersion].
type RestoreDatasetVersionOperationMetadata struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
}

func (x *RestoreDatasetVersionOperationMetadata) Reset() {
	*x = RestoreDatasetVersionOperationMetadata{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[20]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *RestoreDatasetVersionOperationMetadata) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*RestoreDatasetVersionOperationMetadata) ProtoMessage() {}

func (x *RestoreDatasetVersionOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[20]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use RestoreDatasetVersionOperationMetadata.ProtoReflect.Descriptor instead.
func (*RestoreDatasetVersionOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{20}
}

func (x *RestoreDatasetVersionOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
	if x != nil {
		return x.GenericMetadata
	}
	return nil
}

// Request message for
// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
type ListDataItemsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Dataset to list DataItems from.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
}

func (x *ListDataItemsRequest) Reset() {
	*x = ListDataItemsRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[21]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ListDataItemsRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ListDataItemsRequest) ProtoMessage() {}

func (x *ListDataItemsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[21]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListDataItemsRequest.ProtoReflect.Descriptor instead.
func (*ListDataItemsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{21}
}

func (x *ListDataItemsRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *ListDataItemsRequest) GetFilter() string {
	if x != nil {
		return x.Filter
	}
	return ""
}

func (x *ListDataItemsRequest) GetPageSize() int32 {
	if x != nil {
		return x.PageSize
	}
	return 0
}

func (x *ListDataItemsRequest) GetPageToken() string {
	if x != nil {
		return x.PageToken
	}
	return ""
}

func (x *ListDataItemsRequest) GetReadMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.ReadMask
	}
	return nil
}

func (x *ListDataItemsRequest) GetOrderBy() string {
	if x != nil {
		return x.OrderBy
	}
	return ""
}

// Response message for
// [DatasetService.ListDataItems][google.cloud.aiplatform.v1.DatasetService.ListDataItems].
type ListDataItemsResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// A list of DataItems that matches the specified filter in the request.
	DataItems []*DataItem `protobuf:"bytes,1,rep,name=data_items,json=dataItems,proto3" json:"data_items,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}

func (x *ListDataItemsResponse) Reset() {
	*x = ListDataItemsResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[22]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ListDataItemsResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ListDataItemsResponse) ProtoMessage() {}

func (x *ListDataItemsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[22]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListDataItemsResponse.ProtoReflect.Descriptor instead.
func (*ListDataItemsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{22}
}

func (x *ListDataItemsResponse) GetDataItems() []*DataItem {
	if x != nil {
		return x.DataItems
	}
	return nil
}

func (x *ListDataItemsResponse) GetNextPageToken() string {
	if x != nil {
		return x.NextPageToken
	}
	return ""
}

// Request message for
// [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
type SearchDataItemsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Types that are assignable to Order:
	//	*SearchDataItemsRequest_OrderByDataItem
	//	*SearchDataItemsRequest_OrderByAnnotation_
	Order isSearchDataItemsRequest_Order `protobuf_oneof:"order"`
	// Required. The resource name of the Dataset from which to search DataItems.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// The resource name of a SavedQuery(annotation set in UI).
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}`
	// All of the search will be done in the context of this SavedQuery.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.
	SavedQuery string `protobuf:"bytes,2,opt,name=saved_query,json=savedQuery,proto3" json:"saved_query,omitempty"`
	// The resource name of a DataLabelingJob.
	// Format:
	// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
	// If this field is set, all of the search will be done in the context of
	// this DataLabelingJob.
	DataLabelingJob string `protobuf:"bytes,3,opt,name=data_labeling_job,json=dataLabelingJob,proto3" json:"data_labeling_job,omitempty"`
	// An expression for filtering the DataItem that will be returned.
	//
	//   * `data_item_id` - for = or !=.
	//   * `labeled` - for = or !=.
	//   * `has_annotation(ANNOTATION_SPEC_ID)` - true only for DataItem that
	//     have at least one annotation with annotation_spec_id =
	//     `ANNOTATION_SPEC_ID` in the context of SavedQuery or DataLabelingJob.
	//
	// For example:
	//
	// * `data_item=1`
	// * `has_annotation(5)`
	DataItemFilter string `protobuf:"bytes,4,opt,name=data_item_filter,json=dataItemFilter,proto3" json:"data_item_filter,omitempty"`
	// An expression for filtering the Annotations that will be returned per
	// DataItem.
	//   * `annotation_spec_id` - for = or !=.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.
	AnnotationsFilter string `protobuf:"bytes,5,opt,name=annotations_filter,json=annotationsFilter,proto3" json:"annotations_filter,omitempty"`
	// An expression that specifies what Annotations will be returned per
	// DataItem. Annotations satisfied either of the conditions will be returned.
	//   * `annotation_spec_id` - for = or !=.
	// Must specify `saved_query_id=` - saved query id that annotations should
	// belong to.
	AnnotationFilters []string `protobuf:"bytes,11,rep,name=annotation_filters,json=annotationFilters,proto3" json:"annotation_filters,omitempty"`
	// Mask specifying which fields of
	// [DataItemView][google.cloud.aiplatform.v1.DataItemView] to read.
	FieldMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=field_mask,json=fieldMask,proto3" json:"field_mask,omitempty"`
	// If set, only up to this many of Annotations will be returned per
	// DataItemView. The maximum value is 1000. If not set, the maximum value will
	// be used.
	AnnotationsLimit int32 `protobuf:"varint,7,opt,name=annotations_limit,json=annotationsLimit,proto3" json:"annotations_limit,omitempty"`
	// Requested page size. Server may return fewer results than requested.
	// Default and maximum page size is 100.
	PageSize int32 `protobuf:"varint,8,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	//
	// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.
	OrderBy string `protobuf:"bytes,9,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// A token identifying a page of results for the server to return
	// Typically obtained via
	// [SearchDataItemsResponse.next_page_token][google.cloud.aiplatform.v1.SearchDataItemsResponse.next_page_token]
	// of the previous
	// [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems]
	// call.
	PageToken string `protobuf:"bytes,10,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
}

func (x *SearchDataItemsRequest) Reset() {
	*x = SearchDataItemsRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[23]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *SearchDataItemsRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*SearchDataItemsRequest) ProtoMessage() {}

func (x *SearchDataItemsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[23]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use SearchDataItemsRequest.ProtoReflect.Descriptor instead.
func (*SearchDataItemsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{23}
}

func (m *SearchDataItemsRequest) GetOrder() isSearchDataItemsRequest_Order {
	if m != nil {
		return m.Order
	}
	return nil
}

func (x *SearchDataItemsRequest) GetOrderByDataItem() string {
	if x, ok := x.GetOrder().(*SearchDataItemsRequest_OrderByDataItem); ok {
		return x.OrderByDataItem
	}
	return ""
}

func (x *SearchDataItemsRequest) GetOrderByAnnotation() *SearchDataItemsRequest_OrderByAnnotation {
	if x, ok := x.GetOrder().(*SearchDataItemsRequest_OrderByAnnotation_); ok {
		return x.OrderByAnnotation
	}
	return nil
}

func (x *SearchDataItemsRequest) GetDataset() string {
	if x != nil {
		return x.Dataset
	}
	return ""
}

// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.
func (x *SearchDataItemsRequest) GetSavedQuery() string {
	if x != nil {
		return x.SavedQuery
	}
	return ""
}

func (x *SearchDataItemsRequest) GetDataLabelingJob() string {
	if x != nil {
		return x.DataLabelingJob
	}
	return ""
}

func (x *SearchDataItemsRequest) GetDataItemFilter() string {
	if x != nil {
		return x.DataItemFilter
	}
	return ""
}

// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.
func (x *SearchDataItemsRequest) GetAnnotationsFilter() string {
	if x != nil {
		return x.AnnotationsFilter
	}
	return ""
}

func (x *SearchDataItemsRequest) GetAnnotationFilters() []string {
	if x != nil {
		return x.AnnotationFilters
	}
	return nil
}

func (x *SearchDataItemsRequest) GetFieldMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.FieldMask
	}
	return nil
}

func (x *SearchDataItemsRequest) GetAnnotationsLimit() int32 {
	if x != nil {
		return x.AnnotationsLimit
	}
	return 0
}

func (x *SearchDataItemsRequest) GetPageSize() int32 {
	if x != nil {
		return x.PageSize
	}
	return 0
}

// Deprecated: Marked as deprecated in google/cloud/aiplatform/v1/dataset_service.proto.
func (x *SearchDataItemsRequest) GetOrderBy() string {
	if x != nil {
		return x.OrderBy
	}
	return ""
}

func (x *SearchDataItemsRequest) GetPageToken() string {
	if x != nil {
		return x.PageToken
	}
	return ""
}

type isSearchDataItemsRequest_Order interface {
	isSearchDataItemsRequest_Order()
}

type SearchDataItemsRequest_OrderByDataItem struct {
	// A comma-separated list of data item fields to order by, sorted in
	// ascending order. Use "desc" after a field name for descending.
	OrderByDataItem string `protobuf:"bytes,12,opt,name=order_by_data_item,json=orderByDataItem,proto3,oneof"`
}

type SearchDataItemsRequest_OrderByAnnotation_ struct {
	// Expression that allows ranking results based on annotation's property.
	OrderByAnnotation *SearchDataItemsRequest_OrderByAnnotation `protobuf:"bytes,13,opt,name=order_by_annotation,json=orderByAnnotation,proto3,oneof"`
}

func (*SearchDataItemsRequest_OrderByDataItem) isSearchDataItemsRequest_Order() {}

func (*SearchDataItemsRequest_OrderByAnnotation_) isSearchDataItemsRequest_Order() {}

// Response message for
// [DatasetService.SearchDataItems][google.cloud.aiplatform.v1.DatasetService.SearchDataItems].
type SearchDataItemsResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The DataItemViews read.
	DataItemViews []*DataItemView `protobuf:"bytes,1,rep,name=data_item_views,json=dataItemViews,proto3" json:"data_item_views,omitempty"`
	// A token to retrieve next page of results.
	// Pass to
	// [SearchDataItemsRequest.page_token][google.cloud.aiplatform.v1.SearchDataItemsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}

func (x *SearchDataItemsResponse) Reset() {
	*x = SearchDataItemsResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[24]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *SearchDataItemsResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*SearchDataItemsResponse) ProtoMessage() {}

func (x *SearchDataItemsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[24]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use SearchDataItemsResponse.ProtoReflect.Descriptor instead.
func (*SearchDataItemsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{24}
}

func (x *SearchDataItemsResponse) GetDataItemViews() []*DataItemView {
	if x != nil {
		return x.DataItemViews
	}
	return nil
}

func (x *SearchDataItemsResponse) GetNextPageToken() string {
	if x != nil {
		return x.NextPageToken
	}
	return ""
}

// A container for a single DataItem and Annotations on it.
type DataItemView struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The DataItem.
	DataItem *DataItem `protobuf:"bytes,1,opt,name=data_item,json=dataItem,proto3" json:"data_item,omitempty"`
	// The Annotations on the DataItem. If too many Annotations should be returned
	// for the DataItem, this field will be truncated per annotations_limit in
	// request. If it was, then the has_truncated_annotations will be set to true.
	Annotations []*Annotation `protobuf:"bytes,2,rep,name=annotations,proto3" json:"annotations,omitempty"`
	// True if and only if the Annotations field has been truncated. It happens if
	// more Annotations for this DataItem met the request's annotation_filter than
	// are allowed to be returned by annotations_limit.
	// Note that if Annotations field is not being returned due to field mask,
	// then this field will not be set to true no matter how many Annotations are
	// there.
	HasTruncatedAnnotations bool `protobuf:"varint,3,opt,name=has_truncated_annotations,json=hasTruncatedAnnotations,proto3" json:"has_truncated_annotations,omitempty"`
}

func (x *DataItemView) Reset() {
	*x = DataItemView{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[25]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *DataItemView) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*DataItemView) ProtoMessage() {}

func (x *DataItemView) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[25]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use DataItemView.ProtoReflect.Descriptor instead.
func (*DataItemView) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{25}
}

func (x *DataItemView) GetDataItem() *DataItem {
	if x != nil {
		return x.DataItem
	}
	return nil
}

func (x *DataItemView) GetAnnotations() []*Annotation {
	if x != nil {
		return x.Annotations
	}
	return nil
}

func (x *DataItemView) GetHasTruncatedAnnotations() bool {
	if x != nil {
		return x.HasTruncatedAnnotations
	}
	return false
}

// Request message for
// [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
type ListSavedQueriesRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the Dataset to list SavedQueries from.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
}

func (x *ListSavedQueriesRequest) Reset() {
	*x = ListSavedQueriesRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[26]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ListSavedQueriesRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ListSavedQueriesRequest) ProtoMessage() {}

func (x *ListSavedQueriesRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[26]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListSavedQueriesRequest.ProtoReflect.Descriptor instead.
func (*ListSavedQueriesRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{26}
}

func (x *ListSavedQueriesRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *ListSavedQueriesRequest) GetFilter() string {
	if x != nil {
		return x.Filter
	}
	return ""
}

func (x *ListSavedQueriesRequest) GetPageSize() int32 {
	if x != nil {
		return x.PageSize
	}
	return 0
}

func (x *ListSavedQueriesRequest) GetPageToken() string {
	if x != nil {
		return x.PageToken
	}
	return ""
}

func (x *ListSavedQueriesRequest) GetReadMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.ReadMask
	}
	return nil
}

func (x *ListSavedQueriesRequest) GetOrderBy() string {
	if x != nil {
		return x.OrderBy
	}
	return ""
}

// Response message for
// [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1.DatasetService.ListSavedQueries].
type ListSavedQueriesResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// A list of SavedQueries that match the specified filter in the request.
	SavedQueries []*SavedQuery `protobuf:"bytes,1,rep,name=saved_queries,json=savedQueries,proto3" json:"saved_queries,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}

func (x *ListSavedQueriesResponse) Reset() {
	*x = ListSavedQueriesResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[27]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ListSavedQueriesResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ListSavedQueriesResponse) ProtoMessage() {}

func (x *ListSavedQueriesResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[27]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListSavedQueriesResponse.ProtoReflect.Descriptor instead.
func (*ListSavedQueriesResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{27}
}

func (x *ListSavedQueriesResponse) GetSavedQueries() []*SavedQuery {
	if x != nil {
		return x.SavedQueries
	}
	return nil
}

func (x *ListSavedQueriesResponse) GetNextPageToken() string {
	if x != nil {
		return x.NextPageToken
	}
	return ""
}

// Request message for
// [DatasetService.DeleteSavedQuery][google.cloud.aiplatform.v1.DatasetService.DeleteSavedQuery].
type DeleteSavedQueryRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the SavedQuery to delete.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}

func (x *DeleteSavedQueryRequest) Reset() {
	*x = DeleteSavedQueryRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[28]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *DeleteSavedQueryRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*DeleteSavedQueryRequest) ProtoMessage() {}

func (x *DeleteSavedQueryRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[28]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use DeleteSavedQueryRequest.ProtoReflect.Descriptor instead.
func (*DeleteSavedQueryRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{28}
}

func (x *DeleteSavedQueryRequest) GetName() string {
	if x != nil {
		return x.Name
	}
	return ""
}

// Request message for
// [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec].
type GetAnnotationSpecRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The name of the AnnotationSpec resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
}

func (x *GetAnnotationSpecRequest) Reset() {
	*x = GetAnnotationSpecRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[29]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *GetAnnotationSpecRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*GetAnnotationSpecRequest) ProtoMessage() {}

func (x *GetAnnotationSpecRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[29]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use GetAnnotationSpecRequest.ProtoReflect.Descriptor instead.
func (*GetAnnotationSpecRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{29}
}

func (x *GetAnnotationSpecRequest) GetName() string {
	if x != nil {
		return x.Name
	}
	return ""
}

func (x *GetAnnotationSpecRequest) GetReadMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.ReadMask
	}
	return nil
}

// Request message for
// [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
type ListAnnotationsRequest struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. The resource name of the DataItem to list Annotations from.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
}

func (x *ListAnnotationsRequest) Reset() {
	*x = ListAnnotationsRequest{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[30]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ListAnnotationsRequest) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ListAnnotationsRequest) ProtoMessage() {}

func (x *ListAnnotationsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[30]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListAnnotationsRequest.ProtoReflect.Descriptor instead.
func (*ListAnnotationsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{30}
}

func (x *ListAnnotationsRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *ListAnnotationsRequest) GetFilter() string {
	if x != nil {
		return x.Filter
	}
	return ""
}

func (x *ListAnnotationsRequest) GetPageSize() int32 {
	if x != nil {
		return x.PageSize
	}
	return 0
}

func (x *ListAnnotationsRequest) GetPageToken() string {
	if x != nil {
		return x.PageToken
	}
	return ""
}

func (x *ListAnnotationsRequest) GetReadMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.ReadMask
	}
	return nil
}

func (x *ListAnnotationsRequest) GetOrderBy() string {
	if x != nil {
		return x.OrderBy
	}
	return ""
}

// Response message for
// [DatasetService.ListAnnotations][google.cloud.aiplatform.v1.DatasetService.ListAnnotations].
type ListAnnotationsResponse struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// A list of Annotations that matches the specified filter in the request.
	Annotations []*Annotation `protobuf:"bytes,1,rep,name=annotations,proto3" json:"annotations,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}

func (x *ListAnnotationsResponse) Reset() {
	*x = ListAnnotationsResponse{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[31]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *ListAnnotationsResponse) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*ListAnnotationsResponse) ProtoMessage() {}

func (x *ListAnnotationsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[31]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListAnnotationsResponse.ProtoReflect.Descriptor instead.
func (*ListAnnotationsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{31}
}

func (x *ListAnnotationsResponse) GetAnnotations() []*Annotation {
	if x != nil {
		return x.Annotations
	}
	return nil
}

func (x *ListAnnotationsResponse) GetNextPageToken() string {
	if x != nil {
		return x.NextPageToken
	}
	return ""
}

// Expression that allows ranking results based on annotation's property.
type SearchDataItemsRequest_OrderByAnnotation struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Required. Saved query of the Annotation. Only Annotations belong to this
	// saved query will be considered for ordering.
	SavedQuery string `protobuf:"bytes,1,opt,name=saved_query,json=savedQuery,proto3" json:"saved_query,omitempty"`
	// A comma-separated list of annotation fields to order by, sorted in
	// ascending order. Use "desc" after a field name for descending. Must also
	// specify saved_query.
	OrderBy string `protobuf:"bytes,2,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
}

func (x *SearchDataItemsRequest_OrderByAnnotation) Reset() {
	*x = SearchDataItemsRequest_OrderByAnnotation{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[32]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *SearchDataItemsRequest_OrderByAnnotation) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*SearchDataItemsRequest_OrderByAnnotation) ProtoMessage() {}

func (x *SearchDataItemsRequest_OrderByAnnotation) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[32]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use SearchDataItemsRequest_OrderByAnnotation.ProtoReflect.Descriptor instead.
func (*SearchDataItemsRequest_OrderByAnnotation) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP(), []int{23, 0}
}

func (x *SearchDataItemsRequest_OrderByAnnotation) GetSavedQuery() string {
	if x != nil {
		return x.SavedQuery
	}
	return ""
}

func (x *SearchDataItemsRequest_OrderByAnnotation) GetOrderBy() string {
	if x != nil {
		return x.OrderBy
	}
	return ""
}

var File_google_cloud_aiplatform_v1_dataset_service_proto protoreflect.FileDescriptor

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}

var (
	file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescData = file_google_cloud_aiplatform_v1_dataset_service_proto_rawDesc
)

func file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescData)
	})
	return file_google_cloud_aiplatform_v1_dataset_service_proto_rawDescData
}

var file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes = make([]protoimpl.MessageInfo, 33)
var file_google_cloud_aiplatform_v1_dataset_service_proto_goTypes = []interface{}{
	(*CreateDatasetRequest)(nil),                     // 0: google.cloud.aiplatform.v1.CreateDatasetRequest
	(*CreateDatasetOperationMetadata)(nil),           // 1: google.cloud.aiplatform.v1.CreateDatasetOperationMetadata
	(*GetDatasetRequest)(nil),                        // 2: google.cloud.aiplatform.v1.GetDatasetRequest
	(*UpdateDatasetRequest)(nil),                     // 3: google.cloud.aiplatform.v1.UpdateDatasetRequest
	(*ListDatasetsRequest)(nil),                      // 4: google.cloud.aiplatform.v1.ListDatasetsRequest
	(*ListDatasetsResponse)(nil),                     // 5: google.cloud.aiplatform.v1.ListDatasetsResponse
	(*DeleteDatasetRequest)(nil),                     // 6: google.cloud.aiplatform.v1.DeleteDatasetRequest
	(*ImportDataRequest)(nil),                        // 7: google.cloud.aiplatform.v1.ImportDataRequest
	(*ImportDataResponse)(nil),                       // 8: google.cloud.aiplatform.v1.ImportDataResponse
	(*ImportDataOperationMetadata)(nil),              // 9: google.cloud.aiplatform.v1.ImportDataOperationMetadata
	(*ExportDataRequest)(nil),                        // 10: google.cloud.aiplatform.v1.ExportDataRequest
	(*ExportDataResponse)(nil),                       // 11: google.cloud.aiplatform.v1.ExportDataResponse
	(*ExportDataOperationMetadata)(nil),              // 12: google.cloud.aiplatform.v1.ExportDataOperationMetadata
	(*CreateDatasetVersionRequest)(nil),              // 13: google.cloud.aiplatform.v1.CreateDatasetVersionRequest
	(*CreateDatasetVersionOperationMetadata)(nil),    // 14: google.cloud.aiplatform.v1.CreateDatasetVersionOperationMetadata
	(*DeleteDatasetVersionRequest)(nil),              // 15: google.cloud.aiplatform.v1.DeleteDatasetVersionRequest
	(*GetDatasetVersionRequest)(nil),                 // 16: google.cloud.aiplatform.v1.GetDatasetVersionRequest
	(*ListDatasetVersionsRequest)(nil),               // 17: google.cloud.aiplatform.v1.ListDatasetVersionsRequest
	(*ListDatasetVersionsResponse)(nil),              // 18: google.cloud.aiplatform.v1.ListDatasetVersionsResponse
	(*RestoreDatasetVersionRequest)(nil),             // 19: google.cloud.aiplatform.v1.RestoreDatasetVersionRequest
	(*RestoreDatasetVersionOperationMetadata)(nil),   // 20: google.cloud.aiplatform.v1.RestoreDatasetVersionOperationMetadata
	(*ListDataItemsRequest)(nil),                     // 21: google.cloud.aiplatform.v1.ListDataItemsRequest
	(*ListDataItemsResponse)(nil),                    // 22: google.cloud.aiplatform.v1.ListDataItemsResponse
	(*SearchDataItemsRequest)(nil),                   // 23: google.cloud.aiplatform.v1.SearchDataItemsRequest
	(*SearchDataItemsResponse)(nil),                  // 24: google.cloud.aiplatform.v1.SearchDataItemsResponse
	(*DataItemView)(nil),                             // 25: google.cloud.aiplatform.v1.DataItemView
	(*ListSavedQueriesRequest)(nil),                  // 26: google.cloud.aiplatform.v1.ListSavedQueriesRequest
	(*ListSavedQueriesResponse)(nil),                 // 27: google.cloud.aiplatform.v1.ListSavedQueriesResponse
	(*DeleteSavedQueryRequest)(nil),                  // 28: google.cloud.aiplatform.v1.DeleteSavedQueryRequest
	(*GetAnnotationSpecRequest)(nil),                 // 29: google.cloud.aiplatform.v1.GetAnnotationSpecRequest
	(*ListAnnotationsRequest)(nil),                   // 30: google.cloud.aiplatform.v1.ListAnnotationsRequest
	(*ListAnnotationsResponse)(nil),                  // 31: google.cloud.aiplatform.v1.ListAnnotationsResponse
	(*SearchDataItemsRequest_OrderByAnnotation)(nil), // 32: google.cloud.aiplatform.v1.SearchDataItemsRequest.OrderByAnnotation
	(*Dataset)(nil),                                  // 33: google.cloud.aiplatform.v1.Dataset
	(*GenericOperationMetadata)(nil),                 // 34: google.cloud.aiplatform.v1.GenericOperationMetadata
	(*fieldmaskpb.FieldMask)(nil),                    // 35: google.protobuf.FieldMask
	(*ImportDataConfig)(nil),                         // 36: google.cloud.aiplatform.v1.ImportDataConfig
	(*ExportDataConfig)(nil),                         // 37: google.cloud.aiplatform.v1.ExportDataConfig
	(*DatasetVersion)(nil),                           // 38: google.cloud.aiplatform.v1.DatasetVersion
	(*DataItem)(nil),                                 // 39: google.cloud.aiplatform.v1.DataItem
	(*Annotation)(nil),                               // 40: google.cloud.aiplatform.v1.Annotation
	(*SavedQuery)(nil),                               // 41: google.cloud.aiplatform.v1.SavedQuery
	(*longrunningpb.Operation)(nil),                  // 42: google.longrunning.Operation
	(*AnnotationSpec)(nil),                           // 43: google.cloud.aiplatform.v1.AnnotationSpec
}
var file_google_cloud_aiplatform_v1_dataset_service_proto_depIdxs = []int32{
	33, // 0: google.cloud.aiplatform.v1.CreateDatasetRequest.dataset:type_name -> google.cloud.aiplatform.v1.Dataset
	34, // 1: google.cloud.aiplatform.v1.CreateDatasetOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata
	35, // 2: google.cloud.aiplatform.v1.GetDatasetRequest.read_mask:type_name -> google.protobuf.FieldMask
	33, // 3: google.cloud.aiplatform.v1.UpdateDatasetRequest.dataset:type_name -> google.cloud.aiplatform.v1.Dataset
	35, // 4: google.cloud.aiplatform.v1.UpdateDatasetRequest.update_mask:type_name -> google.protobuf.FieldMask
	35, // 5: google.cloud.aiplatform.v1.ListDatasetsRequest.read_mask:type_name -> google.protobuf.FieldMask
	33, // 6: google.cloud.aiplatform.v1.ListDatasetsResponse.datasets:type_name -> google.cloud.aiplatform.v1.Dataset
	36, // 7: google.cloud.aiplatform.v1.ImportDataRequest.import_configs:type_name -> google.cloud.aiplatform.v1.ImportDataConfig
	34, // 8: google.cloud.aiplatform.v1.ImportDataOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata
	37, // 9: google.cloud.aiplatform.v1.ExportDataRequest.export_config:type_name -> google.cloud.aiplatform.v1.ExportDataConfig
	34, // 10: google.cloud.aiplatform.v1.ExportDataOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata
	38, // 11: google.cloud.aiplatform.v1.CreateDatasetVersionRequest.dataset_version:type_name -> google.cloud.aiplatform.v1.DatasetVersion
	34, // 12: google.cloud.aiplatform.v1.CreateDatasetVersionOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata
	35, // 13: google.cloud.aiplatform.v1.GetDatasetVersionRequest.read_mask:type_name -> google.protobuf.FieldMask
	35, // 14: google.cloud.aiplatform.v1.ListDatasetVersionsRequest.read_mask:type_name -> google.protobuf.FieldMask
	38, // 15: google.cloud.aiplatform.v1.ListDatasetVersionsResponse.dataset_versions:type_name -> google.cloud.aiplatform.v1.DatasetVersion
	34, // 16: google.cloud.aiplatform.v1.RestoreDatasetVersionOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1.GenericOperationMetadata
	35, // 17: google.cloud.aiplatform.v1.ListDataItemsRequest.read_mask:type_name -> google.protobuf.FieldMask
	39, // 18: google.cloud.aiplatform.v1.ListDataItemsResponse.data_items:type_name -> google.cloud.aiplatform.v1.DataItem
	32, // 19: google.cloud.aiplatform.v1.SearchDataItemsRequest.order_by_annotation:type_name -> google.cloud.aiplatform.v1.SearchDataItemsRequest.OrderByAnnotation
	35, // 20: google.cloud.aiplatform.v1.SearchDataItemsRequest.field_mask:type_name -> google.protobuf.FieldMask
	25, // 21: google.cloud.aiplatform.v1.SearchDataItemsResponse.data_item_views:type_name -> google.cloud.aiplatform.v1.DataItemView
	39, // 22: google.cloud.aiplatform.v1.DataItemView.data_item:type_name -> google.cloud.aiplatform.v1.DataItem
	40, // 23: google.cloud.aiplatform.v1.DataItemView.annotations:type_name -> google.cloud.aiplatform.v1.Annotation
	35, // 24: google.cloud.aiplatform.v1.ListSavedQueriesRequest.read_mask:type_name -> google.protobuf.FieldMask
	41, // 25: google.cloud.aiplatform.v1.ListSavedQueriesResponse.saved_queries:type_name -> google.cloud.aiplatform.v1.SavedQuery
	35, // 26: google.cloud.aiplatform.v1.GetAnnotationSpecRequest.read_mask:type_name -> google.protobuf.FieldMask
	35, // 27: google.cloud.aiplatform.v1.ListAnnotationsRequest.read_mask:type_name -> google.protobuf.FieldMask
	40, // 28: google.cloud.aiplatform.v1.ListAnnotationsResponse.annotations:type_name -> google.cloud.aiplatform.v1.Annotation
	0,  // 29: google.cloud.aiplatform.v1.DatasetService.CreateDataset:input_type -> google.cloud.aiplatform.v1.CreateDatasetRequest
	2,  // 30: google.cloud.aiplatform.v1.DatasetService.GetDataset:input_type -> google.cloud.aiplatform.v1.GetDatasetRequest
	3,  // 31: google.cloud.aiplatform.v1.DatasetService.UpdateDataset:input_type -> google.cloud.aiplatform.v1.UpdateDatasetRequest
	4,  // 32: google.cloud.aiplatform.v1.DatasetService.ListDatasets:input_type -> google.cloud.aiplatform.v1.ListDatasetsRequest
	6,  // 33: google.cloud.aiplatform.v1.DatasetService.DeleteDataset:input_type -> google.cloud.aiplatform.v1.DeleteDatasetRequest
	7,  // 34: google.cloud.aiplatform.v1.DatasetService.ImportData:input_type -> google.cloud.aiplatform.v1.ImportDataRequest
	10, // 35: google.cloud.aiplatform.v1.DatasetService.ExportData:input_type -> google.cloud.aiplatform.v1.ExportDataRequest
	13, // 36: google.cloud.aiplatform.v1.DatasetService.CreateDatasetVersion:input_type -> google.cloud.aiplatform.v1.CreateDatasetVersionRequest
	15, // 37: google.cloud.aiplatform.v1.DatasetService.DeleteDatasetVersion:input_type -> google.cloud.aiplatform.v1.DeleteDatasetVersionRequest
	16, // 38: google.cloud.aiplatform.v1.DatasetService.GetDatasetVersion:input_type -> google.cloud.aiplatform.v1.GetDatasetVersionRequest
	17, // 39: google.cloud.aiplatform.v1.DatasetService.ListDatasetVersions:input_type -> google.cloud.aiplatform.v1.ListDatasetVersionsRequest
	19, // 40: google.cloud.aiplatform.v1.DatasetService.RestoreDatasetVersion:input_type -> google.cloud.aiplatform.v1.RestoreDatasetVersionRequest
	21, // 41: google.cloud.aiplatform.v1.DatasetService.ListDataItems:input_type -> google.cloud.aiplatform.v1.ListDataItemsRequest
	23, // 42: google.cloud.aiplatform.v1.DatasetService.SearchDataItems:input_type -> google.cloud.aiplatform.v1.SearchDataItemsRequest
	26, // 43: google.cloud.aiplatform.v1.DatasetService.ListSavedQueries:input_type -> google.cloud.aiplatform.v1.ListSavedQueriesRequest
	28, // 44: google.cloud.aiplatform.v1.DatasetService.DeleteSavedQuery:input_type -> google.cloud.aiplatform.v1.DeleteSavedQueryRequest
	29, // 45: google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec:input_type -> google.cloud.aiplatform.v1.GetAnnotationSpecRequest
	30, // 46: google.cloud.aiplatform.v1.DatasetService.ListAnnotations:input_type -> google.cloud.aiplatform.v1.ListAnnotationsRequest
	42, // 47: google.cloud.aiplatform.v1.DatasetService.CreateDataset:output_type -> google.longrunning.Operation
	33, // 48: google.cloud.aiplatform.v1.DatasetService.GetDataset:output_type -> google.cloud.aiplatform.v1.Dataset
	33, // 49: google.cloud.aiplatform.v1.DatasetService.UpdateDataset:output_type -> google.cloud.aiplatform.v1.Dataset
	5,  // 50: google.cloud.aiplatform.v1.DatasetService.ListDatasets:output_type -> google.cloud.aiplatform.v1.ListDatasetsResponse
	42, // 51: google.cloud.aiplatform.v1.DatasetService.DeleteDataset:output_type -> google.longrunning.Operation
	42, // 52: google.cloud.aiplatform.v1.DatasetService.ImportData:output_type -> google.longrunning.Operation
	42, // 53: google.cloud.aiplatform.v1.DatasetService.ExportData:output_type -> google.longrunning.Operation
	42, // 54: google.cloud.aiplatform.v1.DatasetService.CreateDatasetVersion:output_type -> google.longrunning.Operation
	42, // 55: google.cloud.aiplatform.v1.DatasetService.DeleteDatasetVersion:output_type -> google.longrunning.Operation
	38, // 56: google.cloud.aiplatform.v1.DatasetService.GetDatasetVersion:output_type -> google.cloud.aiplatform.v1.DatasetVersion
	18, // 57: google.cloud.aiplatform.v1.DatasetService.ListDatasetVersions:output_type -> google.cloud.aiplatform.v1.ListDatasetVersionsResponse
	42, // 58: google.cloud.aiplatform.v1.DatasetService.RestoreDatasetVersion:output_type -> google.longrunning.Operation
	22, // 59: google.cloud.aiplatform.v1.DatasetService.ListDataItems:output_type -> google.cloud.aiplatform.v1.ListDataItemsResponse
	24, // 60: google.cloud.aiplatform.v1.DatasetService.SearchDataItems:output_type -> google.cloud.aiplatform.v1.SearchDataItemsResponse
	27, // 61: google.cloud.aiplatform.v1.DatasetService.ListSavedQueries:output_type -> google.cloud.aiplatform.v1.ListSavedQueriesResponse
	42, // 62: google.cloud.aiplatform.v1.DatasetService.DeleteSavedQuery:output_type -> google.longrunning.Operation
	43, // 63: google.cloud.aiplatform.v1.DatasetService.GetAnnotationSpec:output_type -> google.cloud.aiplatform.v1.AnnotationSpec
	31, // 64: google.cloud.aiplatform.v1.DatasetService.ListAnnotations:output_type -> google.cloud.aiplatform.v1.ListAnnotationsResponse
	47, // [47:65] is the sub-list for method output_type
	29, // [29:47] is the sub-list for method input_type
	29, // [29:29] is the sub-list for extension type_name
	29, // [29:29] is the sub-list for extension extendee
	0,  // [0:29] is the sub-list for field type_name
}

func init() { file_google_cloud_aiplatform_v1_dataset_service_proto_init() }
func file_google_cloud_aiplatform_v1_dataset_service_proto_init() {
	if File_google_cloud_aiplatform_v1_dataset_service_proto != nil {
		return
	}
	file_google_cloud_aiplatform_v1_annotation_proto_init()
	file_google_cloud_aiplatform_v1_annotation_spec_proto_init()
	file_google_cloud_aiplatform_v1_data_item_proto_init()
	file_google_cloud_aiplatform_v1_dataset_proto_init()
	file_google_cloud_aiplatform_v1_dataset_version_proto_init()
	file_google_cloud_aiplatform_v1_operation_proto_init()
	file_google_cloud_aiplatform_v1_saved_query_proto_init()
	if !protoimpl.UnsafeEnabled {
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CreateDatasetRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CreateDatasetOperationMetadata); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*GetDatasetRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*UpdateDatasetRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListDatasetsRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListDatasetsResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*DeleteDatasetRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ImportDataRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ImportDataResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ImportDataOperationMetadata); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ExportDataRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ExportDataResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ExportDataOperationMetadata); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CreateDatasetVersionRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[14].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*CreateDatasetVersionOperationMetadata); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[15].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*DeleteDatasetVersionRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[16].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*GetDatasetVersionRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[17].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListDatasetVersionsRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[18].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListDatasetVersionsResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[19].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*RestoreDatasetVersionRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[20].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*RestoreDatasetVersionOperationMetadata); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[21].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListDataItemsRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[22].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListDataItemsResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[23].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*SearchDataItemsRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[24].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*SearchDataItemsResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[25].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*DataItemView); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[26].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListSavedQueriesRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[27].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListSavedQueriesResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[28].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*DeleteSavedQueryRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[29].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*GetAnnotationSpecRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[30].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListAnnotationsRequest); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[31].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*ListAnnotationsResponse); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[32].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*SearchDataItemsRequest_OrderByAnnotation); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
	}
	file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes[23].OneofWrappers = []interface{}{
		(*SearchDataItemsRequest_OrderByDataItem)(nil),
		(*SearchDataItemsRequest_OrderByAnnotation_)(nil),
	}
	type x struct{}
	out := protoimpl.TypeBuilder{
		File: protoimpl.DescBuilder{
			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
			RawDescriptor: file_google_cloud_aiplatform_v1_dataset_service_proto_rawDesc,
			NumEnums:      0,
			NumMessages:   33,
			NumExtensions: 0,
			NumServices:   1,
		},
		GoTypes:           file_google_cloud_aiplatform_v1_dataset_service_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1_dataset_service_proto_depIdxs,
		MessageInfos:      file_google_cloud_aiplatform_v1_dataset_service_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1_dataset_service_proto = out.File
	file_google_cloud_aiplatform_v1_dataset_service_proto_rawDesc = nil
	file_google_cloud_aiplatform_v1_dataset_service_proto_goTypes = nil
	file_google_cloud_aiplatform_v1_dataset_service_proto_depIdxs = nil
}

// Reference imports to suppress errors if they are not otherwise used.
var _ context.Context
var _ grpc.ClientConnInterface

// This is a compile-time assertion to ensure that this generated file
// is compatible with the grpc package it is being compiled against.
const _ = grpc.SupportPackageIsVersion6

// DatasetServiceClient is the client API for DatasetService service.
//
// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
type DatasetServiceClient interface {
	// Creates a Dataset.
	CreateDataset(ctx context.Context, in *CreateDatasetRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a Dataset.
	GetDataset(ctx context.Context, in *GetDatasetRequest, opts ...grpc.CallOption) (*Dataset, error)
	// Updates a Dataset.
	UpdateDataset(ctx context.Context, in *UpdateDatasetRequest, opts ...grpc.CallOption) (*Dataset, error)
	// Lists Datasets in a Location.
	ListDatasets(ctx context.Context, in *ListDatasetsRequest, opts ...grpc.CallOption) (*ListDatasetsResponse, error)
	// Deletes a Dataset.
	DeleteDataset(ctx context.Context, in *DeleteDatasetRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Imports data into a Dataset.
	ImportData(ctx context.Context, in *ImportDataRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Exports data from a Dataset.
	ExportData(ctx context.Context, in *ExportDataRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Create a version from a Dataset.
	CreateDatasetVersion(ctx context.Context, in *CreateDatasetVersionRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Deletes a Dataset version.
	DeleteDatasetVersion(ctx context.Context, in *DeleteDatasetVersionRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets a Dataset version.
	GetDatasetVersion(ctx context.Context, in *GetDatasetVersionRequest, opts ...grpc.CallOption) (*DatasetVersion, error)
	// Lists DatasetVersions in a Dataset.
	ListDatasetVersions(ctx context.Context, in *ListDatasetVersionsRequest, opts ...grpc.CallOption) (*ListDatasetVersionsResponse, error)
	// Restores a dataset version.
	RestoreDatasetVersion(ctx context.Context, in *RestoreDatasetVersionRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Lists DataItems in a Dataset.
	ListDataItems(ctx context.Context, in *ListDataItemsRequest, opts ...grpc.CallOption) (*ListDataItemsResponse, error)
	// Searches DataItems in a Dataset.
	SearchDataItems(ctx context.Context, in *SearchDataItemsRequest, opts ...grpc.CallOption) (*SearchDataItemsResponse, error)
	// Lists SavedQueries in a Dataset.
	ListSavedQueries(ctx context.Context, in *ListSavedQueriesRequest, opts ...grpc.CallOption) (*ListSavedQueriesResponse, error)
	// Deletes a SavedQuery.
	DeleteSavedQuery(ctx context.Context, in *DeleteSavedQueryRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
	// Gets an AnnotationSpec.
	GetAnnotationSpec(ctx context.Context, in *GetAnnotationSpecRequest, opts ...grpc.CallOption) (*AnnotationSpec, error)
	// Lists Annotations belongs to a dataitem
	ListAnnotations(ctx context.Context, in *ListAnnotationsRequest, opts ...grpc.CallOption) (*ListAnnotationsResponse, error)
}

type datasetServiceClient struct {
	cc grpc.ClientConnInterface
}

func NewDatasetServiceClient(cc grpc.ClientConnInterface) DatasetServiceClient {
	return &datasetServiceClient{cc}
}

func (c *datasetServiceClient) CreateDataset(ctx context.Context, in *CreateDatasetRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
	out := new(longrunningpb.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/CreateDataset", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) GetDataset(ctx context.Context, in *GetDatasetRequest, opts ...grpc.CallOption) (*Dataset, error) {
	out := new(Dataset)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/GetDataset", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) UpdateDataset(ctx context.Context, in *UpdateDatasetRequest, opts ...grpc.CallOption) (*Dataset, error) {
	out := new(Dataset)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/UpdateDataset", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) ListDatasets(ctx context.Context, in *ListDatasetsRequest, opts ...grpc.CallOption) (*ListDatasetsResponse, error) {
	out := new(ListDatasetsResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/ListDatasets", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) DeleteDataset(ctx context.Context, in *DeleteDatasetRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
	out := new(longrunningpb.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/DeleteDataset", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) ImportData(ctx context.Context, in *ImportDataRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
	out := new(longrunningpb.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/ImportData", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) ExportData(ctx context.Context, in *ExportDataRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
	out := new(longrunningpb.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/ExportData", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) CreateDatasetVersion(ctx context.Context, in *CreateDatasetVersionRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
	out := new(longrunningpb.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/CreateDatasetVersion", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) DeleteDatasetVersion(ctx context.Context, in *DeleteDatasetVersionRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
	out := new(longrunningpb.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/DeleteDatasetVersion", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) GetDatasetVersion(ctx context.Context, in *GetDatasetVersionRequest, opts ...grpc.CallOption) (*DatasetVersion, error) {
	out := new(DatasetVersion)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/GetDatasetVersion", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) ListDatasetVersions(ctx context.Context, in *ListDatasetVersionsRequest, opts ...grpc.CallOption) (*ListDatasetVersionsResponse, error) {
	out := new(ListDatasetVersionsResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/ListDatasetVersions", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) RestoreDatasetVersion(ctx context.Context, in *RestoreDatasetVersionRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
	out := new(longrunningpb.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/RestoreDatasetVersion", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) ListDataItems(ctx context.Context, in *ListDataItemsRequest, opts ...grpc.CallOption) (*ListDataItemsResponse, error) {
	out := new(ListDataItemsResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/ListDataItems", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) SearchDataItems(ctx context.Context, in *SearchDataItemsRequest, opts ...grpc.CallOption) (*SearchDataItemsResponse, error) {
	out := new(SearchDataItemsResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/SearchDataItems", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) ListSavedQueries(ctx context.Context, in *ListSavedQueriesRequest, opts ...grpc.CallOption) (*ListSavedQueriesResponse, error) {
	out := new(ListSavedQueriesResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/ListSavedQueries", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) DeleteSavedQuery(ctx context.Context, in *DeleteSavedQueryRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
	out := new(longrunningpb.Operation)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/DeleteSavedQuery", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) GetAnnotationSpec(ctx context.Context, in *GetAnnotationSpecRequest, opts ...grpc.CallOption) (*AnnotationSpec, error) {
	out := new(AnnotationSpec)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/GetAnnotationSpec", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

func (c *datasetServiceClient) ListAnnotations(ctx context.Context, in *ListAnnotationsRequest, opts ...grpc.CallOption) (*ListAnnotationsResponse, error) {
	out := new(ListAnnotationsResponse)
	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.DatasetService/ListAnnotations", in, out, opts...)
	if err != nil {
		return nil, err
	}
	return out, nil
}

// DatasetServiceServer is the server API for DatasetService service.
type DatasetServiceServer interface {
	// Creates a Dataset.
	CreateDataset(context.Context, *CreateDatasetRequest) (*longrunningpb.Operation, error)
	// Gets a Dataset.
	GetDataset(context.Context, *GetDatasetRequest) (*Dataset, error)
	// Updates a Dataset.
	UpdateDataset(context.Context, *UpdateDatasetRequest) (*Dataset, error)
	// Lists Datasets in a Location.
	ListDatasets(context.Context, *ListDatasetsRequest) (*ListDatasetsResponse, error)
	// Deletes a Dataset.
	DeleteDataset(context.Context, *DeleteDatasetRequest) (*longrunningpb.Operation, error)
	// Imports data into a Dataset.
	ImportData(context.Context, *ImportDataRequest) (*longrunningpb.Operation, error)
	// Exports data from a Dataset.
	ExportData(context.Context, *ExportDataRequest) (*longrunningpb.Operation, error)
	// Create a version from a Dataset.
	CreateDatasetVersion(context.Context, *CreateDatasetVersionRequest) (*longrunningpb.Operation, error)
	// Deletes a Dataset version.
	DeleteDatasetVersion(context.Context, *DeleteDatasetVersionRequest) (*longrunningpb.Operation, error)
	// Gets a Dataset version.
	GetDatasetVersion(context.Context, *GetDatasetVersionRequest) (*DatasetVersion, error)
	// Lists DatasetVersions in a Dataset.
	ListDatasetVersions(context.Context, *ListDatasetVersionsRequest) (*ListDatasetVersionsResponse, error)
	// Restores a dataset version.
	RestoreDatasetVersion(context.Context, *RestoreDatasetVersionRequest) (*longrunningpb.Operation, error)
	// Lists DataItems in a Dataset.
	ListDataItems(context.Context, *ListDataItemsRequest) (*ListDataItemsResponse, error)
	// Searches DataItems in a Dataset.
	SearchDataItems(context.Context, *SearchDataItemsRequest) (*SearchDataItemsResponse, error)
	// Lists SavedQueries in a Dataset.
	ListSavedQueries(context.Context, *ListSavedQueriesRequest) (*ListSavedQueriesResponse, error)
	// Deletes a SavedQuery.
	DeleteSavedQuery(context.Context, *DeleteSavedQueryRequest) (*longrunningpb.Operation, error)
	// Gets an AnnotationSpec.
	GetAnnotationSpec(context.Context, *GetAnnotationSpecRequest) (*AnnotationSpec, error)
	// Lists Annotations belongs to a dataitem
	ListAnnotations(context.Context, *ListAnnotationsRequest) (*ListAnnotationsResponse, error)
}

// UnimplementedDatasetServiceServer can be embedded to have forward compatible implementations.
type UnimplementedDatasetServiceServer struct {
}

func (*UnimplementedDatasetServiceServer) CreateDataset(context.Context, *CreateDatasetRequest) (*longrunningpb.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method CreateDataset not implemented")
}
func (*UnimplementedDatasetServiceServer) GetDataset(context.Context, *GetDatasetRequest) (*Dataset, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetDataset not implemented")
}
func (*UnimplementedDatasetServiceServer) UpdateDataset(context.Context, *UpdateDatasetRequest) (*Dataset, error) {
	return nil, status.Errorf(codes.Unimplemented, "method UpdateDataset not implemented")
}
func (*UnimplementedDatasetServiceServer) ListDatasets(context.Context, *ListDatasetsRequest) (*ListDatasetsResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListDatasets not implemented")
}
func (*UnimplementedDatasetServiceServer) DeleteDataset(context.Context, *DeleteDatasetRequest) (*longrunningpb.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method DeleteDataset not implemented")
}
func (*UnimplementedDatasetServiceServer) ImportData(context.Context, *ImportDataRequest) (*longrunningpb.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ImportData not implemented")
}
func (*UnimplementedDatasetServiceServer) ExportData(context.Context, *ExportDataRequest) (*longrunningpb.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ExportData not implemented")
}
func (*UnimplementedDatasetServiceServer) CreateDatasetVersion(context.Context, *CreateDatasetVersionRequest) (*longrunningpb.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method CreateDatasetVersion not implemented")
}
func (*UnimplementedDatasetServiceServer) DeleteDatasetVersion(context.Context, *DeleteDatasetVersionRequest) (*longrunningpb.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method DeleteDatasetVersion not implemented")
}
func (*UnimplementedDatasetServiceServer) GetDatasetVersion(context.Context, *GetDatasetVersionRequest) (*DatasetVersion, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetDatasetVersion not implemented")
}
func (*UnimplementedDatasetServiceServer) ListDatasetVersions(context.Context, *ListDatasetVersionsRequest) (*ListDatasetVersionsResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListDatasetVersions not implemented")
}
func (*UnimplementedDatasetServiceServer) RestoreDatasetVersion(context.Context, *RestoreDatasetVersionRequest) (*longrunningpb.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method RestoreDatasetVersion not implemented")
}
func (*UnimplementedDatasetServiceServer) ListDataItems(context.Context, *ListDataItemsRequest) (*ListDataItemsResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListDataItems not implemented")
}
func (*UnimplementedDatasetServiceServer) SearchDataItems(context.Context, *SearchDataItemsRequest) (*SearchDataItemsResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method SearchDataItems not implemented")
}
func (*UnimplementedDatasetServiceServer) ListSavedQueries(context.Context, *ListSavedQueriesRequest) (*ListSavedQueriesResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListSavedQueries not implemented")
}
func (*UnimplementedDatasetServiceServer) DeleteSavedQuery(context.Context, *DeleteSavedQueryRequest) (*longrunningpb.Operation, error) {
	return nil, status.Errorf(codes.Unimplemented, "method DeleteSavedQuery not implemented")
}
func (*UnimplementedDatasetServiceServer) GetAnnotationSpec(context.Context, *GetAnnotationSpecRequest) (*AnnotationSpec, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetAnnotationSpec not implemented")
}
func (*UnimplementedDatasetServiceServer) ListAnnotations(context.Context, *ListAnnotationsRequest) (*ListAnnotationsResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method ListAnnotations not implemented")
}

func RegisterDatasetServiceServer(s *grpc.Server, srv DatasetServiceServer) {
	s.RegisterService(&_DatasetService_serviceDesc, srv)
}

func _DatasetService_CreateDataset_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(CreateDatasetRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).CreateDataset(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/CreateDataset",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).CreateDataset(ctx, req.(*CreateDatasetRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_GetDataset_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(GetDatasetRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).GetDataset(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/GetDataset",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).GetDataset(ctx, req.(*GetDatasetRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_UpdateDataset_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(UpdateDatasetRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).UpdateDataset(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/UpdateDataset",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).UpdateDataset(ctx, req.(*UpdateDatasetRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_ListDatasets_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ListDatasetsRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).ListDatasets(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/ListDatasets",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).ListDatasets(ctx, req.(*ListDatasetsRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_DeleteDataset_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(DeleteDatasetRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).DeleteDataset(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/DeleteDataset",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).DeleteDataset(ctx, req.(*DeleteDatasetRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_ImportData_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ImportDataRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).ImportData(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/ImportData",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).ImportData(ctx, req.(*ImportDataRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_ExportData_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ExportDataRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).ExportData(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/ExportData",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).ExportData(ctx, req.(*ExportDataRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_CreateDatasetVersion_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(CreateDatasetVersionRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).CreateDatasetVersion(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/CreateDatasetVersion",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).CreateDatasetVersion(ctx, req.(*CreateDatasetVersionRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_DeleteDatasetVersion_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(DeleteDatasetVersionRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).DeleteDatasetVersion(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/DeleteDatasetVersion",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).DeleteDatasetVersion(ctx, req.(*DeleteDatasetVersionRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_GetDatasetVersion_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(GetDatasetVersionRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).GetDatasetVersion(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/GetDatasetVersion",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).GetDatasetVersion(ctx, req.(*GetDatasetVersionRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_ListDatasetVersions_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ListDatasetVersionsRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).ListDatasetVersions(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/ListDatasetVersions",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).ListDatasetVersions(ctx, req.(*ListDatasetVersionsRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_RestoreDatasetVersion_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(RestoreDatasetVersionRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).RestoreDatasetVersion(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/RestoreDatasetVersion",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).RestoreDatasetVersion(ctx, req.(*RestoreDatasetVersionRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_ListDataItems_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ListDataItemsRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).ListDataItems(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/ListDataItems",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).ListDataItems(ctx, req.(*ListDataItemsRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_SearchDataItems_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(SearchDataItemsRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).SearchDataItems(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/SearchDataItems",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).SearchDataItems(ctx, req.(*SearchDataItemsRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_ListSavedQueries_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ListSavedQueriesRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).ListSavedQueries(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/ListSavedQueries",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).ListSavedQueries(ctx, req.(*ListSavedQueriesRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_DeleteSavedQuery_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(DeleteSavedQueryRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).DeleteSavedQuery(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/DeleteSavedQuery",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).DeleteSavedQuery(ctx, req.(*DeleteSavedQueryRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_GetAnnotationSpec_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(GetAnnotationSpecRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).GetAnnotationSpec(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/GetAnnotationSpec",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).GetAnnotationSpec(ctx, req.(*GetAnnotationSpecRequest))
	}
	return interceptor(ctx, in, info, handler)
}

func _DatasetService_ListAnnotations_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
	in := new(ListAnnotationsRequest)
	if err := dec(in); err != nil {
		return nil, err
	}
	if interceptor == nil {
		return srv.(DatasetServiceServer).ListAnnotations(ctx, in)
	}
	info := &grpc.UnaryServerInfo{
		Server:     srv,
		FullMethod: "/google.cloud.aiplatform.v1.DatasetService/ListAnnotations",
	}
	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
		return srv.(DatasetServiceServer).ListAnnotations(ctx, req.(*ListAnnotationsRequest))
	}
	return interceptor(ctx, in, info, handler)
}

var _DatasetService_serviceDesc = grpc.ServiceDesc{
	ServiceName: "google.cloud.aiplatform.v1.DatasetService",
	HandlerType: (*DatasetServiceServer)(nil),
	Methods: []grpc.MethodDesc{
		{
			MethodName: "CreateDataset",
			Handler:    _DatasetService_CreateDataset_Handler,
		},
		{
			MethodName: "GetDataset",
			Handler:    _DatasetService_GetDataset_Handler,
		},
		{
			MethodName: "UpdateDataset",
			Handler:    _DatasetService_UpdateDataset_Handler,
		},
		{
			MethodName: "ListDatasets",
			Handler:    _DatasetService_ListDatasets_Handler,
		},
		{
			MethodName: "DeleteDataset",
			Handler:    _DatasetService_DeleteDataset_Handler,
		},
		{
			MethodName: "ImportData",
			Handler:    _DatasetService_ImportData_Handler,
		},
		{
			MethodName: "ExportData",
			Handler:    _DatasetService_ExportData_Handler,
		},
		{
			MethodName: "CreateDatasetVersion",
			Handler:    _DatasetService_CreateDatasetVersion_Handler,
		},
		{
			MethodName: "DeleteDatasetVersion",
			Handler:    _DatasetService_DeleteDatasetVersion_Handler,
		},
		{
			MethodName: "GetDatasetVersion",
			Handler:    _DatasetService_GetDatasetVersion_Handler,
		},
		{
			MethodName: "ListDatasetVersions",
			Handler:    _DatasetService_ListDatasetVersions_Handler,
		},
		{
			MethodName: "RestoreDatasetVersion",
			Handler:    _DatasetService_RestoreDatasetVersion_Handler,
		},
		{
			MethodName: "ListDataItems",
			Handler:    _DatasetService_ListDataItems_Handler,
		},
		{
			MethodName: "SearchDataItems",
			Handler:    _DatasetService_SearchDataItems_Handler,
		},
		{
			MethodName: "ListSavedQueries",
			Handler:    _DatasetService_ListSavedQueries_Handler,
		},
		{
			MethodName: "DeleteSavedQuery",
			Handler:    _DatasetService_DeleteSavedQuery_Handler,
		},
		{
			MethodName: "GetAnnotationSpec",
			Handler:    _DatasetService_GetAnnotationSpec_Handler,
		},
		{
			MethodName: "ListAnnotations",
			Handler:    _DatasetService_ListAnnotations_Handler,
		},
	},
	Streams:  []grpc.StreamDesc{},
	Metadata: "google/cloud/aiplatform/v1/dataset_service.proto",
}