// Code generated by protoc-gen-go. DO NOT EDIT. // source: google/cloud/automl/v1beta1/data_items.proto package automl import ( fmt "fmt" math "math" proto "github.com/golang/protobuf/proto" _ "github.com/golang/protobuf/ptypes/any" _ "github.com/golang/protobuf/ptypes/duration" _struct "github.com/golang/protobuf/ptypes/struct" _ "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.ProtoPackageIsVersion3 // please upgrade the proto package // Unit of the document dimension. type DocumentDimensions_DocumentDimensionUnit int32 const ( // Should not be used. DocumentDimensions_DOCUMENT_DIMENSION_UNIT_UNSPECIFIED DocumentDimensions_DocumentDimensionUnit = 0 // Document dimension is measured in inches. DocumentDimensions_INCH DocumentDimensions_DocumentDimensionUnit = 1 // Document dimension is measured in centimeters. DocumentDimensions_CENTIMETER DocumentDimensions_DocumentDimensionUnit = 2 // Document dimension is measured in points. 72 points = 1 inch. DocumentDimensions_POINT DocumentDimensions_DocumentDimensionUnit = 3 ) var DocumentDimensions_DocumentDimensionUnit_name = map[int32]string{ 0: "DOCUMENT_DIMENSION_UNIT_UNSPECIFIED", 1: "INCH", 2: "CENTIMETER", 3: "POINT", } var DocumentDimensions_DocumentDimensionUnit_value = map[string]int32{ "DOCUMENT_DIMENSION_UNIT_UNSPECIFIED": 0, "INCH": 1, "CENTIMETER": 2, "POINT": 3, } func (x DocumentDimensions_DocumentDimensionUnit) String() string { return proto.EnumName(DocumentDimensions_DocumentDimensionUnit_name, int32(x)) } func (DocumentDimensions_DocumentDimensionUnit) EnumDescriptor() ([]byte, []int) { return fileDescriptor_bd1fd4e23d5f1ca3, []int{2, 0} } // The type of TextSegment in the context of the original document. type Document_Layout_TextSegmentType int32 const ( // Should not be used. Document_Layout_TEXT_SEGMENT_TYPE_UNSPECIFIED Document_Layout_TextSegmentType = 0 // The text segment is a token. e.g. word. Document_Layout_TOKEN Document_Layout_TextSegmentType = 1 // The text segment is a paragraph. Document_Layout_PARAGRAPH Document_Layout_TextSegmentType = 2 // The text segment is a form field. Document_Layout_FORM_FIELD Document_Layout_TextSegmentType = 3 // The text segment is the name part of a form field. It will be treated // as child of another FORM_FIELD TextSegment if its span is subspan of // another TextSegment with type FORM_FIELD. Document_Layout_FORM_FIELD_NAME Document_Layout_TextSegmentType = 4 // The text segment is the text content part of a form field. It will be // treated as child of another FORM_FIELD TextSegment if its span is // subspan of another TextSegment with type FORM_FIELD. Document_Layout_FORM_FIELD_CONTENTS Document_Layout_TextSegmentType = 5 // The text segment is a whole table, including headers, and all rows. Document_Layout_TABLE Document_Layout_TextSegmentType = 6 // The text segment is a table's headers. It will be treated as child of // another TABLE TextSegment if its span is subspan of another TextSegment // with type TABLE. Document_Layout_TABLE_HEADER Document_Layout_TextSegmentType = 7 // The text segment is a row in table. It will be treated as child of // another TABLE TextSegment if its span is subspan of another TextSegment // with type TABLE. Document_Layout_TABLE_ROW Document_Layout_TextSegmentType = 8 // The text segment is a cell in table. It will be treated as child of // another TABLE_ROW TextSegment if its span is subspan of another // TextSegment with type TABLE_ROW. Document_Layout_TABLE_CELL Document_Layout_TextSegmentType = 9 ) var Document_Layout_TextSegmentType_name = map[int32]string{ 0: "TEXT_SEGMENT_TYPE_UNSPECIFIED", 1: "TOKEN", 2: "PARAGRAPH", 3: "FORM_FIELD", 4: "FORM_FIELD_NAME", 5: "FORM_FIELD_CONTENTS", 6: "TABLE", 7: "TABLE_HEADER", 8: "TABLE_ROW", 9: "TABLE_CELL", } var Document_Layout_TextSegmentType_value = map[string]int32{ "TEXT_SEGMENT_TYPE_UNSPECIFIED": 0, "TOKEN": 1, "PARAGRAPH": 2, "FORM_FIELD": 3, "FORM_FIELD_NAME": 4, "FORM_FIELD_CONTENTS": 5, "TABLE": 6, "TABLE_HEADER": 7, "TABLE_ROW": 8, "TABLE_CELL": 9, } func (x Document_Layout_TextSegmentType) String() string { return proto.EnumName(Document_Layout_TextSegmentType_name, int32(x)) } func (Document_Layout_TextSegmentType) EnumDescriptor() ([]byte, []int) { return fileDescriptor_bd1fd4e23d5f1ca3, []int{3, 0, 0} } // A representation of an image. // Only images up to 30MB in size are supported. type Image struct { // Input only. The data representing the image. // For Predict calls [image_bytes][] must be set, as other options are not // currently supported by prediction API. You can read the contents of an // uploaded image by using the [content_uri][] field. // // Types that are valid to be assigned to Data: // *Image_ImageBytes // *Image_InputConfig Data isImage_Data `protobuf_oneof:"data"` // Output only. HTTP URI to the thumbnail image. ThumbnailUri string `protobuf:"bytes,4,opt,name=thumbnail_uri,json=thumbnailUri,proto3" json:"thumbnail_uri,omitempty"` XXX_NoUnkeyedLiteral struct{} `json:"-"` XXX_unrecognized []byte `json:"-"` XXX_sizecache int32 `json:"-"` } func (m *Image) Reset() { *m = Image{} } func (m *Image) String() string { return proto.CompactTextString(m) } func (*Image) ProtoMessage() {} func (*Image) Descriptor() ([]byte, []int) { return fileDescriptor_bd1fd4e23d5f1ca3, []int{0} } func (m *Image) XXX_Unmarshal(b []byte) error { return xxx_messageInfo_Image.Unmarshal(m, b) } func (m *Image) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { return xxx_messageInfo_Image.Marshal(b, m, deterministic) } func (m *Image) XXX_Merge(src proto.Message) { xxx_messageInfo_Image.Merge(m, src) } func (m *Image) XXX_Size() int { return xxx_messageInfo_Image.Size(m) } func (m *Image) XXX_DiscardUnknown() { xxx_messageInfo_Image.DiscardUnknown(m) } var xxx_messageInfo_Image proto.InternalMessageInfo type isImage_Data interface { isImage_Data() } type Image_ImageBytes struct { ImageBytes []byte `protobuf:"bytes,1,opt,name=image_bytes,json=imageBytes,proto3,oneof"` } type Image_InputConfig struct { InputConfig *InputConfig `protobuf:"bytes,6,opt,name=input_config,json=inputConfig,proto3,oneof"` } func (*Image_ImageBytes) isImage_Data() {} func (*Image_InputConfig) isImage_Data() {} func (m *Image) GetData() isImage_Data { if m != nil { return m.Data } return nil } func (m *Image) GetImageBytes() []byte { if x, ok := m.GetData().(*Image_ImageBytes); ok { return x.ImageBytes } return nil } func (m *Image) GetInputConfig() *InputConfig { if x, ok := m.GetData().(*Image_InputConfig); ok { return x.InputConfig } return nil } func (m *Image) GetThumbnailUri() string { if m != nil { return m.ThumbnailUri } return "" } // XXX_OneofWrappers is for the internal use of the proto package. func (*Image) XXX_OneofWrappers() []interface{} { return []interface{}{ (*Image_ImageBytes)(nil), (*Image_InputConfig)(nil), } } // A representation of a text snippet. type TextSnippet struct { // Required. The content of the text snippet as a string. Up to 250000 // characters long. Content string `protobuf:"bytes,1,opt,name=content,proto3" json:"content,omitempty"` // Optional. The format of // [content][google.cloud.automl.v1beta1.TextSnippet.content]. Currently the // only two allowed values are "text/html" and "text/plain". If left blank, // the format is automatically determined from the type of the uploaded // [content][google.cloud.automl.v1beta1.TextSnippet.content]. MimeType string `protobuf:"bytes,2,opt,name=mime_type,json=mimeType,proto3" json:"mime_type,omitempty"` // Output only. HTTP URI where you can download the content. ContentUri string `protobuf:"bytes,4,opt,name=content_uri,json=contentUri,proto3" json:"content_uri,omitempty"` XXX_NoUnkeyedLiteral struct{} `json:"-"` XXX_unrecognized []byte `json:"-"` XXX_sizecache int32 `json:"-"` } func (m *TextSnippet) Reset() { *m = TextSnippet{} } func (m *TextSnippet) String() string { return proto.CompactTextString(m) } func (*TextSnippet) ProtoMessage() {} func (*TextSnippet) Descriptor() ([]byte, []int) { return fileDescriptor_bd1fd4e23d5f1ca3, []int{1} } func (m *TextSnippet) XXX_Unmarshal(b []byte) error { return xxx_messageInfo_TextSnippet.Unmarshal(m, b) } func (m *TextSnippet) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { return xxx_messageInfo_TextSnippet.Marshal(b, m, deterministic) } func (m *TextSnippet) XXX_Merge(src proto.Message) { xxx_messageInfo_TextSnippet.Merge(m, src) } func (m *TextSnippet) XXX_Size() int { return xxx_messageInfo_TextSnippet.Size(m) } func (m *TextSnippet) XXX_DiscardUnknown() { xxx_messageInfo_TextSnippet.DiscardUnknown(m) } var xxx_messageInfo_TextSnippet proto.InternalMessageInfo func (m *TextSnippet) GetContent() string { if m != nil { return m.Content } return "" } func (m *TextSnippet) GetMimeType() string { if m != nil { return m.MimeType } return "" } func (m *TextSnippet) GetContentUri() string { if m != nil { return m.ContentUri } return "" } // Message that describes dimension of a document. type DocumentDimensions struct { // Unit of the dimension. Unit DocumentDimensions_DocumentDimensionUnit `protobuf:"varint,1,opt,name=unit,proto3,enum=google.cloud.automl.v1beta1.DocumentDimensions_DocumentDimensionUnit" json:"unit,omitempty"` // Width value of the document, works together with the unit. Width float32 `protobuf:"fixed32,2,opt,name=width,proto3" json:"width,omitempty"` // Height value of the document, works together with the unit. Height float32 `protobuf:"fixed32,3,opt,name=height,proto3" json:"height,omitempty"` XXX_NoUnkeyedLiteral struct{} `json:"-"` XXX_unrecognized []byte `json:"-"` XXX_sizecache int32 `json:"-"` } func (m *DocumentDimensions) Reset() { *m = DocumentDimensions{} } func (m *DocumentDimensions) String() string { return proto.CompactTextString(m) } func (*DocumentDimensions) ProtoMessage() {} func (*DocumentDimensions) Descriptor() ([]byte, []int) { return fileDescriptor_bd1fd4e23d5f1ca3, []int{2} } func (m *DocumentDimensions) XXX_Unmarshal(b []byte) error { return xxx_messageInfo_DocumentDimensions.Unmarshal(m, b) } func (m *DocumentDimensions) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { return xxx_messageInfo_DocumentDimensions.Marshal(b, m, deterministic) } func (m *DocumentDimensions) XXX_Merge(src proto.Message) { xxx_messageInfo_DocumentDimensions.Merge(m, src) } func (m *DocumentDimensions) XXX_Size() int { return xxx_messageInfo_DocumentDimensions.Size(m) } func (m *DocumentDimensions) XXX_DiscardUnknown() { xxx_messageInfo_DocumentDimensions.DiscardUnknown(m) } var xxx_messageInfo_DocumentDimensions proto.InternalMessageInfo func (m *DocumentDimensions) GetUnit() DocumentDimensions_DocumentDimensionUnit { if m != nil { return m.Unit } return DocumentDimensions_DOCUMENT_DIMENSION_UNIT_UNSPECIFIED } func (m *DocumentDimensions) GetWidth() float32 { if m != nil { return m.Width } return 0 } func (m *DocumentDimensions) GetHeight() float32 { if m != nil { return m.Height } return 0 } // A structured text document e.g. a PDF. type Document struct { // An input config specifying the content of the document. InputConfig *DocumentInputConfig `protobuf:"bytes,1,opt,name=input_config,json=inputConfig,proto3" json:"input_config,omitempty"` // The plain text version of this document. DocumentText *TextSnippet `protobuf:"bytes,2,opt,name=document_text,json=documentText,proto3" json:"document_text,omitempty"` // Describes the layout of the document. // Sorted by [page_number][]. Layout []*Document_Layout `protobuf:"bytes,3,rep,name=layout,proto3" json:"layout,omitempty"` // The dimensions of the page in the document. DocumentDimensions *DocumentDimensions `protobuf:"bytes,4,opt,name=document_dimensions,json=documentDimensions,proto3" json:"document_dimensions,omitempty"` // Number of pages in the document. PageCount int32 `protobuf:"varint,5,opt,name=page_count,json=pageCount,proto3" json:"page_count,omitempty"` XXX_NoUnkeyedLiteral struct{} `json:"-"` XXX_unrecognized []byte `json:"-"` XXX_sizecache int32 `json:"-"` } func (m *Document) Reset() { *m = Document{} } func (m *Document) String() string { return proto.CompactTextString(m) } func (*Document) ProtoMessage() {} func (*Document) Descriptor() ([]byte, []int) { return fileDescriptor_bd1fd4e23d5f1ca3, []int{3} } func (m *Document) XXX_Unmarshal(b []byte) error { return xxx_messageInfo_Document.Unmarshal(m, b) } func (m *Document) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { return xxx_messageInfo_Document.Marshal(b, m, deterministic) } func (m *Document) XXX_Merge(src proto.Message) { xxx_messageInfo_Document.Merge(m, src) } func (m *Document) XXX_Size() int { return xxx_messageInfo_Document.Size(m) } func (m *Document) XXX_DiscardUnknown() { xxx_messageInfo_Document.DiscardUnknown(m) } var xxx_messageInfo_Document proto.InternalMessageInfo func (m *Document) GetInputConfig() *DocumentInputConfig { if m != nil { return m.InputConfig } return nil } func (m *Document) GetDocumentText() *TextSnippet { if m != nil { return m.DocumentText } return nil } func (m *Document) GetLayout() []*Document_Layout { if m != nil { return m.Layout } return nil } func (m *Document) GetDocumentDimensions() *DocumentDimensions { if m != nil { return m.DocumentDimensions } return nil } func (m *Document) GetPageCount() int32 { if m != nil { return m.PageCount } return 0 } // Describes the layout information of a // [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] in // the document. type Document_Layout struct { // Text Segment that represents a segment in // [document_text][google.cloud.automl.v1beta1.Document.document_text]. TextSegment *TextSegment `protobuf:"bytes,1,opt,name=text_segment,json=textSegment,proto3" json:"text_segment,omitempty"` // Page number of the // [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] // in the original document, starts from 1. PageNumber int32 `protobuf:"varint,2,opt,name=page_number,json=pageNumber,proto3" json:"page_number,omitempty"` // The position of the // [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] // in the page. Contains exactly 4 // // [normalized_vertices][google.cloud.automl.v1beta1.BoundingPoly.normalized_vertices] // and they are connected by edges in the order provided, which will // represent a rectangle parallel to the frame. The // [NormalizedVertex-s][google.cloud.automl.v1beta1.NormalizedVertex] are // relative to the page. // Coordinates are based on top-left as point (0,0). BoundingPoly *BoundingPoly `protobuf:"bytes,3,opt,name=bounding_poly,json=boundingPoly,proto3" json:"bounding_poly,omitempty"` // The type of the // [text_segment][google.cloud.automl.v1beta1.Document.Layout.text_segment] // in document. TextSegmentType Document_Layout_TextSegmentType `protobuf:"varint,4,opt,name=text_segment_type,json=textSegmentType,proto3,enum=google.cloud.automl.v1beta1.Document_Layout_TextSegmentType" json:"text_segment_type,omitempty"` XXX_NoUnkeyedLiteral struct{} `json:"-"` XXX_unrecognized []byte `json:"-"` XXX_sizecache int32 `json:"-"` } func (m *Document_Layout) Reset() { *m = Document_Layout{} } func (m *Document_Layout) String() string { return proto.CompactTextString(m) } func (*Document_Layout) ProtoMessage() {} func (*Document_Layout) Descriptor() ([]byte, []int) { return fileDescriptor_bd1fd4e23d5f1ca3, []int{3, 0} } func (m *Document_Layout) XXX_Unmarshal(b []byte) error { return xxx_messageInfo_Document_Layout.Unmarshal(m, b) } func (m *Document_Layout) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { return xxx_messageInfo_Document_Layout.Marshal(b, m, deterministic) } func (m *Document_Layout) XXX_Merge(src proto.Message) { xxx_messageInfo_Document_Layout.Merge(m, src) } func (m *Document_Layout) XXX_Size() int { return xxx_messageInfo_Document_Layout.Size(m) } func (m *Document_Layout) XXX_DiscardUnknown() { xxx_messageInfo_Document_Layout.DiscardUnknown(m) } var xxx_messageInfo_Document_Layout proto.InternalMessageInfo func (m *Document_Layout) GetTextSegment() *TextSegment { if m != nil { return m.TextSegment } return nil } func (m *Document_Layout) GetPageNumber() int32 { if m != nil { return m.PageNumber } return 0 } func (m *Document_Layout) GetBoundingPoly() *BoundingPoly { if m != nil { return m.BoundingPoly } return nil } func (m *Document_Layout) GetTextSegmentType() Document_Layout_TextSegmentType { if m != nil { return m.TextSegmentType } return Document_Layout_TEXT_SEGMENT_TYPE_UNSPECIFIED } // A representation of a row in a relational table. type Row struct { // The resource IDs of the column specs describing the columns of the row. // If set must contain, but possibly in a different order, all input // feature // // [column_spec_ids][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] // of the Model this row is being passed to. // Note: The below `values` field must match order of this field, if this // field is set. ColumnSpecIds []string `protobuf:"bytes,2,rep,name=column_spec_ids,json=columnSpecIds,proto3" json:"column_spec_ids,omitempty"` // Required. The values of the row cells, given in the same order as the // column_spec_ids, or, if not set, then in the same order as input // feature // // [column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs] // of the Model this row is being passed to. Values []*_struct.Value `protobuf:"bytes,3,rep,name=values,proto3" json:"values,omitempty"` XXX_NoUnkeyedLiteral struct{} `json:"-"` XXX_unrecognized []byte `json:"-"` XXX_sizecache int32 `json:"-"` } func (m *Row) Reset() { *m = Row{} } func (m *Row) String() string { return proto.CompactTextString(m) } func (*Row) ProtoMessage() {} func (*Row) Descriptor() ([]byte, []int) { return fileDescriptor_bd1fd4e23d5f1ca3, []int{4} } func (m *Row) XXX_Unmarshal(b []byte) error { return xxx_messageInfo_Row.Unmarshal(m, b) } func (m *Row) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { return xxx_messageInfo_Row.Marshal(b, m, deterministic) } func (m *Row) XXX_Merge(src proto.Message) { xxx_messageInfo_Row.Merge(m, src) } func (m *Row) XXX_Size() int { return xxx_messageInfo_Row.Size(m) } func (m *Row) XXX_DiscardUnknown() { xxx_messageInfo_Row.DiscardUnknown(m) } var xxx_messageInfo_Row proto.InternalMessageInfo func (m *Row) GetColumnSpecIds() []string { if m != nil { return m.ColumnSpecIds } return nil } func (m *Row) GetValues() []*_struct.Value { if m != nil { return m.Values } return nil } // Example data used for training or prediction. type ExamplePayload struct { // Required. Input only. The example data. // // Types that are valid to be assigned to Payload: // *ExamplePayload_Image // *ExamplePayload_TextSnippet // *ExamplePayload_Document // *ExamplePayload_Row Payload isExamplePayload_Payload `protobuf_oneof:"payload"` XXX_NoUnkeyedLiteral struct{} `json:"-"` XXX_unrecognized []byte `json:"-"` XXX_sizecache int32 `json:"-"` } func (m *ExamplePayload) Reset() { *m = ExamplePayload{} } func (m *ExamplePayload) String() string { return proto.CompactTextString(m) } func (*ExamplePayload) ProtoMessage() {} func (*ExamplePayload) Descriptor() ([]byte, []int) { return fileDescriptor_bd1fd4e23d5f1ca3, []int{5} } func (m *ExamplePayload) XXX_Unmarshal(b []byte) error { return xxx_messageInfo_ExamplePayload.Unmarshal(m, b) } func (m *ExamplePayload) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) { return xxx_messageInfo_ExamplePayload.Marshal(b, m, deterministic) } func (m *ExamplePayload) XXX_Merge(src proto.Message) { xxx_messageInfo_ExamplePayload.Merge(m, src) } func (m *ExamplePayload) XXX_Size() int { return xxx_messageInfo_ExamplePayload.Size(m) } func (m *ExamplePayload) XXX_DiscardUnknown() { xxx_messageInfo_ExamplePayload.DiscardUnknown(m) } var xxx_messageInfo_ExamplePayload proto.InternalMessageInfo type isExamplePayload_Payload interface { isExamplePayload_Payload() } type ExamplePayload_Image struct { Image *Image `protobuf:"bytes,1,opt,name=image,proto3,oneof"` } type ExamplePayload_TextSnippet struct { TextSnippet *TextSnippet `protobuf:"bytes,2,opt,name=text_snippet,json=textSnippet,proto3,oneof"` } type ExamplePayload_Document struct { Document *Document `protobuf:"bytes,4,opt,name=document,proto3,oneof"` } type ExamplePayload_Row struct { Row *Row `protobuf:"bytes,3,opt,name=row,proto3,oneof"` } func (*ExamplePayload_Image) isExamplePayload_Payload() {} func (*ExamplePayload_TextSnippet) isExamplePayload_Payload() {} func (*ExamplePayload_Document) isExamplePayload_Payload() {} func (*ExamplePayload_Row) isExamplePayload_Payload() {} func (m *ExamplePayload) GetPayload() isExamplePayload_Payload { if m != nil { return m.Payload } return nil } func (m *ExamplePayload) GetImage() *Image { if x, ok := m.GetPayload().(*ExamplePayload_Image); ok { return x.Image } return nil } func (m *ExamplePayload) GetTextSnippet() *TextSnippet { if x, ok := m.GetPayload().(*ExamplePayload_TextSnippet); ok { return x.TextSnippet } return nil } func (m *ExamplePayload) GetDocument() *Document { if x, ok := m.GetPayload().(*ExamplePayload_Document); ok { return x.Document } return nil } func (m *ExamplePayload) GetRow() *Row { if x, ok := m.GetPayload().(*ExamplePayload_Row); ok { return x.Row } return nil } // XXX_OneofWrappers is for the internal use of the proto package. func (*ExamplePayload) XXX_OneofWrappers() []interface{} { return []interface{}{ (*ExamplePayload_Image)(nil), (*ExamplePayload_TextSnippet)(nil), (*ExamplePayload_Document)(nil), (*ExamplePayload_Row)(nil), } } func init() { proto.RegisterEnum("google.cloud.automl.v1beta1.DocumentDimensions_DocumentDimensionUnit", DocumentDimensions_DocumentDimensionUnit_name, DocumentDimensions_DocumentDimensionUnit_value) proto.RegisterEnum("google.cloud.automl.v1beta1.Document_Layout_TextSegmentType", Document_Layout_TextSegmentType_name, Document_Layout_TextSegmentType_value) proto.RegisterType((*Image)(nil), "google.cloud.automl.v1beta1.Image") proto.RegisterType((*TextSnippet)(nil), "google.cloud.automl.v1beta1.TextSnippet") proto.RegisterType((*DocumentDimensions)(nil), "google.cloud.automl.v1beta1.DocumentDimensions") proto.RegisterType((*Document)(nil), "google.cloud.automl.v1beta1.Document") proto.RegisterType((*Document_Layout)(nil), "google.cloud.automl.v1beta1.Document.Layout") proto.RegisterType((*Row)(nil), "google.cloud.automl.v1beta1.Row") proto.RegisterType((*ExamplePayload)(nil), "google.cloud.automl.v1beta1.ExamplePayload") } func init() { 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