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// Code generated by protoc-gen-go. DO NOT EDIT.
// source: google/cloud/automl/v1beta1/dataset.proto
package automl // import "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"
import proto "github.com/golang/protobuf/proto"
import fmt "fmt"
import math "math"
import timestamp "github.com/golang/protobuf/ptypes/timestamp"
import _ "google.golang.org/genproto/googleapis/api/annotations"
// Reference imports to suppress errors if they are not otherwise used.
var _ = proto.Marshal
var _ = fmt.Errorf
var _ = math.Inf
// This is a compile-time assertion to ensure that this generated file
// is compatible with the proto package it is being compiled against.
// A compilation error at this line likely means your copy of the
// proto package needs to be updated.
const _ = proto.ProtoPackageIsVersion2 // please upgrade the proto package
// A workspace for solving a single, particular machine learning (ML) problem.
// A workspace contains examples that may be annotated.
type Dataset struct {
// Required.
// The dataset metadata that is specific to the problem type.
//
// Types that are valid to be assigned to DatasetMetadata:
// *Dataset_TranslationDatasetMetadata
// *Dataset_ImageClassificationDatasetMetadata
// *Dataset_TextClassificationDatasetMetadata
DatasetMetadata isDataset_DatasetMetadata `protobuf_oneof:"dataset_metadata"`
// Output only. The resource name of the dataset.
// Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Required. The name of the dataset to show in the interface. The name can be
// up to 32 characters
// long and can consist only of ASCII Latin letters A-Z and a-z, underscores
// (_), and ASCII digits 0-9.
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
// Output only. The number of examples in the dataset.
ExampleCount int32 `protobuf:"varint,21,opt,name=example_count,json=exampleCount,proto3" json:"example_count,omitempty"`
// Output only. Timestamp when this dataset was created.
CreateTime *timestamp.Timestamp `protobuf:"bytes,14,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *Dataset) Reset() { *m = Dataset{} }
func (m *Dataset) String() string { return proto.CompactTextString(m) }
func (*Dataset) ProtoMessage() {}
func (*Dataset) Descriptor() ([]byte, []int) {
return fileDescriptor_dataset_a8678ffeb33098d6, []int{0}
}
func (m *Dataset) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_Dataset.Unmarshal(m, b)
}
func (m *Dataset) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_Dataset.Marshal(b, m, deterministic)
}
func (dst *Dataset) XXX_Merge(src proto.Message) {
xxx_messageInfo_Dataset.Merge(dst, src)
}
func (m *Dataset) XXX_Size() int {
return xxx_messageInfo_Dataset.Size(m)
}
func (m *Dataset) XXX_DiscardUnknown() {
xxx_messageInfo_Dataset.DiscardUnknown(m)
}
var xxx_messageInfo_Dataset proto.InternalMessageInfo
type isDataset_DatasetMetadata interface {
isDataset_DatasetMetadata()
}
type Dataset_TranslationDatasetMetadata struct {
TranslationDatasetMetadata *TranslationDatasetMetadata `protobuf:"bytes,23,opt,name=translation_dataset_metadata,json=translationDatasetMetadata,proto3,oneof"`
}
type Dataset_ImageClassificationDatasetMetadata struct {
ImageClassificationDatasetMetadata *ImageClassificationDatasetMetadata `protobuf:"bytes,24,opt,name=image_classification_dataset_metadata,json=imageClassificationDatasetMetadata,proto3,oneof"`
}
type Dataset_TextClassificationDatasetMetadata struct {
TextClassificationDatasetMetadata *TextClassificationDatasetMetadata `protobuf:"bytes,25,opt,name=text_classification_dataset_metadata,json=textClassificationDatasetMetadata,proto3,oneof"`
}
func (*Dataset_TranslationDatasetMetadata) isDataset_DatasetMetadata() {}
func (*Dataset_ImageClassificationDatasetMetadata) isDataset_DatasetMetadata() {}
func (*Dataset_TextClassificationDatasetMetadata) isDataset_DatasetMetadata() {}
func (m *Dataset) GetDatasetMetadata() isDataset_DatasetMetadata {
if m != nil {
return m.DatasetMetadata
}
return nil
}
func (m *Dataset) GetTranslationDatasetMetadata() *TranslationDatasetMetadata {
if x, ok := m.GetDatasetMetadata().(*Dataset_TranslationDatasetMetadata); ok {
return x.TranslationDatasetMetadata
}
return nil
}
func (m *Dataset) GetImageClassificationDatasetMetadata() *ImageClassificationDatasetMetadata {
if x, ok := m.GetDatasetMetadata().(*Dataset_ImageClassificationDatasetMetadata); ok {
return x.ImageClassificationDatasetMetadata
}
return nil
}
func (m *Dataset) GetTextClassificationDatasetMetadata() *TextClassificationDatasetMetadata {
if x, ok := m.GetDatasetMetadata().(*Dataset_TextClassificationDatasetMetadata); ok {
return x.TextClassificationDatasetMetadata
}
return nil
}
func (m *Dataset) GetName() string {
if m != nil {
return m.Name
}
return ""
}
func (m *Dataset) GetDisplayName() string {
if m != nil {
return m.DisplayName
}
return ""
}
func (m *Dataset) GetExampleCount() int32 {
if m != nil {
return m.ExampleCount
}
return 0
}
func (m *Dataset) GetCreateTime() *timestamp.Timestamp {
if m != nil {
return m.CreateTime
}
return nil
}
// XXX_OneofFuncs is for the internal use of the proto package.
func (*Dataset) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{}) {
return _Dataset_OneofMarshaler, _Dataset_OneofUnmarshaler, _Dataset_OneofSizer, []interface{}{
(*Dataset_TranslationDatasetMetadata)(nil),
(*Dataset_ImageClassificationDatasetMetadata)(nil),
(*Dataset_TextClassificationDatasetMetadata)(nil),
}
}
func _Dataset_OneofMarshaler(msg proto.Message, b *proto.Buffer) error {
m := msg.(*Dataset)
// dataset_metadata
switch x := m.DatasetMetadata.(type) {
case *Dataset_TranslationDatasetMetadata:
b.EncodeVarint(23<<3 | proto.WireBytes)
if err := b.EncodeMessage(x.TranslationDatasetMetadata); err != nil {
return err
}
case *Dataset_ImageClassificationDatasetMetadata:
b.EncodeVarint(24<<3 | proto.WireBytes)
if err := b.EncodeMessage(x.ImageClassificationDatasetMetadata); err != nil {
return err
}
case *Dataset_TextClassificationDatasetMetadata:
b.EncodeVarint(25<<3 | proto.WireBytes)
if err := b.EncodeMessage(x.TextClassificationDatasetMetadata); err != nil {
return err
}
case nil:
default:
return fmt.Errorf("Dataset.DatasetMetadata has unexpected type %T", x)
}
return nil
}
func _Dataset_OneofUnmarshaler(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error) {
m := msg.(*Dataset)
switch tag {
case 23: // dataset_metadata.translation_dataset_metadata
if wire != proto.WireBytes {
return true, proto.ErrInternalBadWireType
}
msg := new(TranslationDatasetMetadata)
err := b.DecodeMessage(msg)
m.DatasetMetadata = &Dataset_TranslationDatasetMetadata{msg}
return true, err
case 24: // dataset_metadata.image_classification_dataset_metadata
if wire != proto.WireBytes {
return true, proto.ErrInternalBadWireType
}
msg := new(ImageClassificationDatasetMetadata)
err := b.DecodeMessage(msg)
m.DatasetMetadata = &Dataset_ImageClassificationDatasetMetadata{msg}
return true, err
case 25: // dataset_metadata.text_classification_dataset_metadata
if wire != proto.WireBytes {
return true, proto.ErrInternalBadWireType
}
msg := new(TextClassificationDatasetMetadata)
err := b.DecodeMessage(msg)
m.DatasetMetadata = &Dataset_TextClassificationDatasetMetadata{msg}
return true, err
default:
return false, nil
}
}
func _Dataset_OneofSizer(msg proto.Message) (n int) {
m := msg.(*Dataset)
// dataset_metadata
switch x := m.DatasetMetadata.(type) {
case *Dataset_TranslationDatasetMetadata:
s := proto.Size(x.TranslationDatasetMetadata)
n += 2 // tag and wire
n += proto.SizeVarint(uint64(s))
n += s
case *Dataset_ImageClassificationDatasetMetadata:
s := proto.Size(x.ImageClassificationDatasetMetadata)
n += 2 // tag and wire
n += proto.SizeVarint(uint64(s))
n += s
case *Dataset_TextClassificationDatasetMetadata:
s := proto.Size(x.TextClassificationDatasetMetadata)
n += 2 // tag and wire
n += proto.SizeVarint(uint64(s))
n += s
case nil:
default:
panic(fmt.Sprintf("proto: unexpected type %T in oneof", x))
}
return n
}
func init() {
proto.RegisterType((*Dataset)(nil), "google.cloud.automl.v1beta1.Dataset")
}
func init() {
proto.RegisterFile("google/cloud/automl/v1beta1/dataset.proto", fileDescriptor_dataset_a8678ffeb33098d6)
}
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