/usr/share/gocode/src/google.golang.org/genproto/googleapis/cloud/ml/v1/project_service.pb.go is in golang-google-genproto-dev 0.0~git20171123.7f0da29-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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// source: google/cloud/ml/v1/project_service.proto
package ml
import proto "github.com/golang/protobuf/proto"
import fmt "fmt"
import math "math"
import _ "google.golang.org/genproto/googleapis/api/annotations"
import (
context "golang.org/x/net/context"
grpc "google.golang.org/grpc"
)
// Reference imports to suppress errors if they are not otherwise used.
var _ = proto.Marshal
var _ = fmt.Errorf
var _ = math.Inf
// Requests service account information associated with a project.
type GetConfigRequest struct {
// Required. The project name.
//
// Authorization: requires `Viewer` role on the specified project.
Name string `protobuf:"bytes,1,opt,name=name" json:"name,omitempty"`
}
func (m *GetConfigRequest) Reset() { *m = GetConfigRequest{} }
func (m *GetConfigRequest) String() string { return proto.CompactTextString(m) }
func (*GetConfigRequest) ProtoMessage() {}
func (*GetConfigRequest) Descriptor() ([]byte, []int) { return fileDescriptor4, []int{0} }
func (m *GetConfigRequest) GetName() string {
if m != nil {
return m.Name
}
return ""
}
// Returns service account information associated with a project.
type GetConfigResponse struct {
// The service account Cloud ML uses to access resources in the project.
ServiceAccount string `protobuf:"bytes,1,opt,name=service_account,json=serviceAccount" json:"service_account,omitempty"`
// The project number for `service_account`.
ServiceAccountProject int64 `protobuf:"varint,2,opt,name=service_account_project,json=serviceAccountProject" json:"service_account_project,omitempty"`
}
func (m *GetConfigResponse) Reset() { *m = GetConfigResponse{} }
func (m *GetConfigResponse) String() string { return proto.CompactTextString(m) }
func (*GetConfigResponse) ProtoMessage() {}
func (*GetConfigResponse) Descriptor() ([]byte, []int) { return fileDescriptor4, []int{1} }
func (m *GetConfigResponse) GetServiceAccount() string {
if m != nil {
return m.ServiceAccount
}
return ""
}
func (m *GetConfigResponse) GetServiceAccountProject() int64 {
if m != nil {
return m.ServiceAccountProject
}
return 0
}
func init() {
proto.RegisterType((*GetConfigRequest)(nil), "google.cloud.ml.v1.GetConfigRequest")
proto.RegisterType((*GetConfigResponse)(nil), "google.cloud.ml.v1.GetConfigResponse")
}
// Reference imports to suppress errors if they are not otherwise used.
var _ context.Context
var _ grpc.ClientConn
// 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.SupportPackageIsVersion4
// Client API for ProjectManagementService service
type ProjectManagementServiceClient interface {
// Get the service account information associated with your project. You need
// this information in order to grant the service account persmissions for
// the Google Cloud Storage location where you put your model training code
// for training the model with Google Cloud Machine Learning.
GetConfig(ctx context.Context, in *GetConfigRequest, opts ...grpc.CallOption) (*GetConfigResponse, error)
}
type projectManagementServiceClient struct {
cc *grpc.ClientConn
}
func NewProjectManagementServiceClient(cc *grpc.ClientConn) ProjectManagementServiceClient {
return &projectManagementServiceClient{cc}
}
func (c *projectManagementServiceClient) GetConfig(ctx context.Context, in *GetConfigRequest, opts ...grpc.CallOption) (*GetConfigResponse, error) {
out := new(GetConfigResponse)
err := grpc.Invoke(ctx, "/google.cloud.ml.v1.ProjectManagementService/GetConfig", in, out, c.cc, opts...)
if err != nil {
return nil, err
}
return out, nil
}
// Server API for ProjectManagementService service
type ProjectManagementServiceServer interface {
// Get the service account information associated with your project. You need
// this information in order to grant the service account persmissions for
// the Google Cloud Storage location where you put your model training code
// for training the model with Google Cloud Machine Learning.
GetConfig(context.Context, *GetConfigRequest) (*GetConfigResponse, error)
}
func RegisterProjectManagementServiceServer(s *grpc.Server, srv ProjectManagementServiceServer) {
s.RegisterService(&_ProjectManagementService_serviceDesc, srv)
}
func _ProjectManagementService_GetConfig_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(GetConfigRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(ProjectManagementServiceServer).GetConfig(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.ml.v1.ProjectManagementService/GetConfig",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(ProjectManagementServiceServer).GetConfig(ctx, req.(*GetConfigRequest))
}
return interceptor(ctx, in, info, handler)
}
var _ProjectManagementService_serviceDesc = grpc.ServiceDesc{
ServiceName: "google.cloud.ml.v1.ProjectManagementService",
HandlerType: (*ProjectManagementServiceServer)(nil),
Methods: []grpc.MethodDesc{
{
MethodName: "GetConfig",
Handler: _ProjectManagementService_GetConfig_Handler,
},
},
Streams: []grpc.StreamDesc{},
Metadata: "google/cloud/ml/v1/project_service.proto",
}
func init() { proto.RegisterFile("google/cloud/ml/v1/project_service.proto", fileDescriptor4) }
var fileDescriptor4 = []byte{
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