feat: gitea client
This commit is contained in:
347
vendor/cloud.google.com/go/ai/generativelanguage/apiv1beta/generativelanguagepb/model.pb.go
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vendor/cloud.google.com/go/ai/generativelanguage/apiv1beta/generativelanguagepb/model.pb.go
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// Copyright 2024 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// Code generated by protoc-gen-go. DO NOT EDIT.
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// versions:
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// protoc-gen-go v1.34.2
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// protoc v4.25.3
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// source: google/ai/generativelanguage/v1beta/model.proto
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package generativelanguagepb
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import (
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reflect "reflect"
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sync "sync"
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_ "google.golang.org/genproto/googleapis/api/annotations"
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protoreflect "google.golang.org/protobuf/reflect/protoreflect"
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protoimpl "google.golang.org/protobuf/runtime/protoimpl"
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)
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const (
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// Verify that this generated code is sufficiently up-to-date.
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_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
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// Verify that runtime/protoimpl is sufficiently up-to-date.
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_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
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)
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// Information about a Generative Language Model.
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type Model struct {
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state protoimpl.MessageState
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sizeCache protoimpl.SizeCache
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unknownFields protoimpl.UnknownFields
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// Required. The resource name of the `Model`.
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//
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// Format: `models/{model}` with a `{model}` naming convention of:
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//
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// * "{base_model_id}-{version}"
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//
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// Examples:
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//
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// * `models/chat-bison-001`
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Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
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// Required. The name of the base model, pass this to the generation request.
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//
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// Examples:
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//
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// * `chat-bison`
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BaseModelId string `protobuf:"bytes,2,opt,name=base_model_id,json=baseModelId,proto3" json:"base_model_id,omitempty"`
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// Required. The version number of the model.
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//
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// This represents the major version
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Version string `protobuf:"bytes,3,opt,name=version,proto3" json:"version,omitempty"`
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// The human-readable name of the model. E.g. "Chat Bison".
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//
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// The name can be up to 128 characters long and can consist of any UTF-8
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// characters.
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DisplayName string `protobuf:"bytes,4,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
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// A short description of the model.
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Description string `protobuf:"bytes,5,opt,name=description,proto3" json:"description,omitempty"`
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// Maximum number of input tokens allowed for this model.
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InputTokenLimit int32 `protobuf:"varint,6,opt,name=input_token_limit,json=inputTokenLimit,proto3" json:"input_token_limit,omitempty"`
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// Maximum number of output tokens available for this model.
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OutputTokenLimit int32 `protobuf:"varint,7,opt,name=output_token_limit,json=outputTokenLimit,proto3" json:"output_token_limit,omitempty"`
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// The model's supported generation methods.
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//
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// The method names are defined as Pascal case
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// strings, such as `generateMessage` which correspond to API methods.
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SupportedGenerationMethods []string `protobuf:"bytes,8,rep,name=supported_generation_methods,json=supportedGenerationMethods,proto3" json:"supported_generation_methods,omitempty"`
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// Controls the randomness of the output.
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//
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// Values can range over `[0.0,max_temperature]`, inclusive. A higher value
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// will produce responses that are more varied, while a value closer to `0.0`
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// will typically result in less surprising responses from the model.
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// This value specifies default to be used by the backend while making the
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// call to the model.
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Temperature *float32 `protobuf:"fixed32,9,opt,name=temperature,proto3,oneof" json:"temperature,omitempty"`
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// The maximum temperature this model can use.
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MaxTemperature *float32 `protobuf:"fixed32,13,opt,name=max_temperature,json=maxTemperature,proto3,oneof" json:"max_temperature,omitempty"`
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// For Nucleus sampling.
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//
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// Nucleus sampling considers the smallest set of tokens whose probability
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// sum is at least `top_p`.
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// This value specifies default to be used by the backend while making the
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// call to the model.
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TopP *float32 `protobuf:"fixed32,10,opt,name=top_p,json=topP,proto3,oneof" json:"top_p,omitempty"`
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// For Top-k sampling.
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//
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// Top-k sampling considers the set of `top_k` most probable tokens.
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// This value specifies default to be used by the backend while making the
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// call to the model.
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// If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't
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// allowed as a generation parameter.
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TopK *int32 `protobuf:"varint,11,opt,name=top_k,json=topK,proto3,oneof" json:"top_k,omitempty"`
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}
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func (x *Model) Reset() {
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*x = Model{}
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if protoimpl.UnsafeEnabled {
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mi := &file_google_ai_generativelanguage_v1beta_model_proto_msgTypes[0]
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ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
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ms.StoreMessageInfo(mi)
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}
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}
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func (x *Model) String() string {
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return protoimpl.X.MessageStringOf(x)
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}
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func (*Model) ProtoMessage() {}
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func (x *Model) ProtoReflect() protoreflect.Message {
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mi := &file_google_ai_generativelanguage_v1beta_model_proto_msgTypes[0]
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||||
if protoimpl.UnsafeEnabled && x != nil {
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||||
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
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||||
if ms.LoadMessageInfo() == nil {
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ms.StoreMessageInfo(mi)
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||||
}
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return ms
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}
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||||
return mi.MessageOf(x)
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}
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// Deprecated: Use Model.ProtoReflect.Descriptor instead.
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func (*Model) Descriptor() ([]byte, []int) {
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return file_google_ai_generativelanguage_v1beta_model_proto_rawDescGZIP(), []int{0}
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}
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func (x *Model) GetName() string {
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if x != nil {
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return x.Name
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}
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return ""
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}
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func (x *Model) GetBaseModelId() string {
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if x != nil {
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return x.BaseModelId
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}
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return ""
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}
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||||
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func (x *Model) GetVersion() string {
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if x != nil {
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||||
return x.Version
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}
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return ""
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}
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func (x *Model) GetDisplayName() string {
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||||
if x != nil {
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return x.DisplayName
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||||
}
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||||
return ""
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||||
}
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||||
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||||
func (x *Model) GetDescription() string {
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||||
if x != nil {
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||||
return x.Description
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||||
}
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return ""
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}
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func (x *Model) GetInputTokenLimit() int32 {
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||||
if x != nil {
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return x.InputTokenLimit
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||||
}
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||||
return 0
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||||
}
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||||
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||||
func (x *Model) GetOutputTokenLimit() int32 {
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||||
if x != nil {
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||||
return x.OutputTokenLimit
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||||
}
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||||
return 0
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||||
}
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||||
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||||
func (x *Model) GetSupportedGenerationMethods() []string {
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||||
if x != nil {
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||||
return x.SupportedGenerationMethods
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||||
}
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||||
return nil
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||||
}
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||||
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func (x *Model) GetTemperature() float32 {
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if x != nil && x.Temperature != nil {
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return *x.Temperature
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||||
}
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||||
return 0
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||||
}
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||||
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||||
func (x *Model) GetMaxTemperature() float32 {
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||||
if x != nil && x.MaxTemperature != nil {
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||||
return *x.MaxTemperature
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||||
}
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||||
return 0
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||||
}
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func (x *Model) GetTopP() float32 {
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if x != nil && x.TopP != nil {
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return *x.TopP
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}
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||||
return 0
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||||
}
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||||
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func (x *Model) GetTopK() int32 {
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if x != nil && x.TopK != nil {
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return *x.TopK
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}
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return 0
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}
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var File_google_ai_generativelanguage_v1beta_model_proto protoreflect.FileDescriptor
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var file_google_ai_generativelanguage_v1beta_model_proto_rawDesc = []byte{
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||||
0x65, 0x72, 0x61, 0x74, 0x69, 0x76, 0x65, 0x6c, 0x61, 0x6e, 0x67, 0x75, 0x61, 0x67, 0x65, 0x70,
|
||||
0x62, 0x3b, 0x67, 0x65, 0x6e, 0x65, 0x72, 0x61, 0x74, 0x69, 0x76, 0x65, 0x6c, 0x61, 0x6e, 0x67,
|
||||
0x75, 0x61, 0x67, 0x65, 0x70, 0x62, 0x62, 0x06, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x33,
|
||||
}
|
||||
|
||||
var (
|
||||
file_google_ai_generativelanguage_v1beta_model_proto_rawDescOnce sync.Once
|
||||
file_google_ai_generativelanguage_v1beta_model_proto_rawDescData = file_google_ai_generativelanguage_v1beta_model_proto_rawDesc
|
||||
)
|
||||
|
||||
func file_google_ai_generativelanguage_v1beta_model_proto_rawDescGZIP() []byte {
|
||||
file_google_ai_generativelanguage_v1beta_model_proto_rawDescOnce.Do(func() {
|
||||
file_google_ai_generativelanguage_v1beta_model_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_ai_generativelanguage_v1beta_model_proto_rawDescData)
|
||||
})
|
||||
return file_google_ai_generativelanguage_v1beta_model_proto_rawDescData
|
||||
}
|
||||
|
||||
var file_google_ai_generativelanguage_v1beta_model_proto_msgTypes = make([]protoimpl.MessageInfo, 1)
|
||||
var file_google_ai_generativelanguage_v1beta_model_proto_goTypes = []any{
|
||||
(*Model)(nil), // 0: google.ai.generativelanguage.v1beta.Model
|
||||
}
|
||||
var file_google_ai_generativelanguage_v1beta_model_proto_depIdxs = []int32{
|
||||
0, // [0:0] is the sub-list for method output_type
|
||||
0, // [0:0] is the sub-list for method input_type
|
||||
0, // [0:0] is the sub-list for extension type_name
|
||||
0, // [0:0] is the sub-list for extension extendee
|
||||
0, // [0:0] is the sub-list for field type_name
|
||||
}
|
||||
|
||||
func init() { file_google_ai_generativelanguage_v1beta_model_proto_init() }
|
||||
func file_google_ai_generativelanguage_v1beta_model_proto_init() {
|
||||
if File_google_ai_generativelanguage_v1beta_model_proto != nil {
|
||||
return
|
||||
}
|
||||
if !protoimpl.UnsafeEnabled {
|
||||
file_google_ai_generativelanguage_v1beta_model_proto_msgTypes[0].Exporter = func(v any, i int) any {
|
||||
switch v := v.(*Model); i {
|
||||
case 0:
|
||||
return &v.state
|
||||
case 1:
|
||||
return &v.sizeCache
|
||||
case 2:
|
||||
return &v.unknownFields
|
||||
default:
|
||||
return nil
|
||||
}
|
||||
}
|
||||
}
|
||||
file_google_ai_generativelanguage_v1beta_model_proto_msgTypes[0].OneofWrappers = []any{}
|
||||
type x struct{}
|
||||
out := protoimpl.TypeBuilder{
|
||||
File: protoimpl.DescBuilder{
|
||||
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
|
||||
RawDescriptor: file_google_ai_generativelanguage_v1beta_model_proto_rawDesc,
|
||||
NumEnums: 0,
|
||||
NumMessages: 1,
|
||||
NumExtensions: 0,
|
||||
NumServices: 0,
|
||||
},
|
||||
GoTypes: file_google_ai_generativelanguage_v1beta_model_proto_goTypes,
|
||||
DependencyIndexes: file_google_ai_generativelanguage_v1beta_model_proto_depIdxs,
|
||||
MessageInfos: file_google_ai_generativelanguage_v1beta_model_proto_msgTypes,
|
||||
}.Build()
|
||||
File_google_ai_generativelanguage_v1beta_model_proto = out.File
|
||||
file_google_ai_generativelanguage_v1beta_model_proto_rawDesc = nil
|
||||
file_google_ai_generativelanguage_v1beta_model_proto_goTypes = nil
|
||||
file_google_ai_generativelanguage_v1beta_model_proto_depIdxs = nil
|
||||
}
|
||||
Reference in New Issue
Block a user