Debug/gen/chromeos/services/machine_learning/public/mojom/text_suggester.mojom.h

// chromeos/services/machine_learning/public/mojom/text_suggester.mojom.h is auto generated by mojom_bindings_generator.py, do not edit

// Copyright 2013 The Chromium Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.

#ifndef CHROMEOS_SERVICES_MACHINE_LEARNING_PUBLIC_MOJOM_TEXT_SUGGESTER_MOJOM_H_
#define CHROMEOS_SERVICES_MACHINE_LEARNING_PUBLIC_MOJOM_TEXT_SUGGESTER_MOJOM_H_

#include <stdint.h>

#include <limits>
#include <type_traits>
#include <utility>

#include "third_party/abseil-cpp/absl/types/optional.h"
#include "mojo/public/cpp/bindings/clone_traits.h"
#include "mojo/public/cpp/bindings/equals_traits.h"
#include "mojo/public/cpp/bindings/lib/serialization.h"
#include "mojo/public/cpp/bindings/struct_ptr.h"
#include "mojo/public/cpp/bindings/struct_traits.h"
#include "mojo/public/cpp/bindings/union_traits.h"

#include "third_party/perfetto/include/perfetto/tracing/traced_value_forward.h"

#include "chromeos/services/machine_learning/public/mojom/text_suggester.mojom-shared.h"
#include "chromeos/services/machine_learning/public/mojom/text_suggester.mojom-forward.h"
#include <string>
#include <vector>

#include "mojo/public/cpp/bindings/lib/control_message_handler.h"
#include "mojo/public/cpp/bindings/raw_ptr_impl_ref_traits.h"


#include "base/component_export.h"

#ifdef KYTHE_IS_RUNNING
#pragma kythe_inline_metadata "Metadata comment"
#endif


namespace chromeos {
namespace machine_learning {
namespace mojom {

class TextSuggesterProxy;

template <typename ImplRefTraits>
class TextSuggesterStub;

class TextSuggesterRequestValidator;
class TextSuggesterResponseValidator;


// @generated_from: chromeos.machine_learning.mojom.TextSuggester
class COMPONENT_EXPORT(MLSERVICE_MOJOM) TextSuggester
    : public TextSuggesterInterfaceBase {
 public:
  static const char Name_[];
  static std::pair<uint32_t, const void*> MessageToMethodInfo_(mojo::Message& message);
  static const char* MessageToMethodName_(mojo::Message& message);
  static constexpr uint32_t Version_ = 0;
  static constexpr bool PassesAssociatedKinds_ = false;
  static constexpr bool HasSyncMethods_ = false;
  static constexpr bool HasUninterruptableMethods_ = false;

  using Base_ = TextSuggesterInterfaceBase;
  using Proxy_ = TextSuggesterProxy;

  template <typename ImplRefTraits>
  using Stub_ = TextSuggesterStub<ImplRefTraits>;

  using RequestValidator_ = TextSuggesterRequestValidator;
  using ResponseValidator_ = TextSuggesterResponseValidator;
  enum MethodMinVersions : uint32_t {
    kSuggestMinVersion = 0,
  };

// crbug.com/1340245 - this causes binary size bloat on Fuchsia, and we're OK
// with not having this data in traces there.
#if !BUILDFLAG(IS_FUCHSIA)
  struct Suggest_Sym {
    NOINLINE static void IPCSymbol();
  };
#endif // !BUILDFLAG(IS_FUCHSIA)
  virtual ~TextSuggester() = default;


  using SuggestCallback = base::OnceCallback<void(TextSuggesterResultPtr)>;
  
// @generated_from: chromeos.machine_learning.mojom.TextSuggester.Suggest
  virtual void Suggest(TextSuggesterQueryPtr query, SuggestCallback callback) = 0;
};



// @generated_from: chromeos.machine_learning.mojom.TextSuggester
class COMPONENT_EXPORT(MLSERVICE_MOJOM) TextSuggesterProxy
    : public TextSuggester {
 public:
  using InterfaceType = TextSuggester;

  explicit TextSuggesterProxy(mojo::MessageReceiverWithResponder* receiver);
  
// @generated_from: chromeos.machine_learning.mojom.TextSuggester.Suggest
  void Suggest(TextSuggesterQueryPtr query, SuggestCallback callback) final;

 private:
  mojo::MessageReceiverWithResponder* receiver_;
};
class COMPONENT_EXPORT(MLSERVICE_MOJOM) TextSuggesterStubDispatch {
 public:
  static bool Accept(TextSuggester* impl, mojo::Message* message);
  static bool AcceptWithResponder(
      TextSuggester* impl,
      mojo::Message* message,
      std::unique_ptr<mojo::MessageReceiverWithStatus> responder);
};

template <typename ImplRefTraits =
              mojo::RawPtrImplRefTraits<TextSuggester>>
class TextSuggesterStub
    : public mojo::MessageReceiverWithResponderStatus {
 public:
  using ImplPointerType = typename ImplRefTraits::PointerType;

  TextSuggesterStub() = default;
  ~TextSuggesterStub() override = default;

  void set_sink(ImplPointerType sink) { sink_ = std::move(sink); }
  ImplPointerType& sink() { return sink_; }

  bool Accept(mojo::Message* message) override {
    if (ImplRefTraits::IsNull(sink_))
      return false;
    return TextSuggesterStubDispatch::Accept(
        ImplRefTraits::GetRawPointer(&sink_), message);
  }

  bool AcceptWithResponder(
      mojo::Message* message,
      std::unique_ptr<mojo::MessageReceiverWithStatus> responder) override {
    if (ImplRefTraits::IsNull(sink_))
      return false;
    return TextSuggesterStubDispatch::AcceptWithResponder(
        ImplRefTraits::GetRawPointer(&sink_), message, std::move(responder));
  }

 private:
  ImplPointerType sink_;
};
class COMPONENT_EXPORT(MLSERVICE_MOJOM) TextSuggesterRequestValidator : public mojo::MessageReceiver {
 public:
  bool Accept(mojo::Message* message) override;
};
class COMPONENT_EXPORT(MLSERVICE_MOJOM) TextSuggesterResponseValidator : public mojo::MessageReceiver {
 public:
  bool Accept(mojo::Message* message) override;
};





// @generated_from: chromeos.machine_learning.mojom.NextWordCompletionCandidate
class COMPONENT_EXPORT(MLSERVICE_MOJOM) NextWordCompletionCandidate {
 public:
  template <typename T>
  using EnableIfSame = std::enable_if_t<std::is_same<NextWordCompletionCandidate, T>::value>;
  using DataView = NextWordCompletionCandidateDataView;
  using Data_ = internal::NextWordCompletionCandidate_Data;

  template <typename... Args>
  static NextWordCompletionCandidatePtr New(Args&&... args) {
    return NextWordCompletionCandidatePtr(
        absl::in_place, std::forward<Args>(args)...);
  }

  template <typename U>
  static NextWordCompletionCandidatePtr From(const U& u) {
    return mojo::TypeConverter<NextWordCompletionCandidatePtr, U>::Convert(u);
  }

  template <typename U>
  U To() const {
    return mojo::TypeConverter<U, NextWordCompletionCandidate>::Convert(*this);
  }


  NextWordCompletionCandidate();

  NextWordCompletionCandidate(
      const std::string& text,
      float normalized_score);


  ~NextWordCompletionCandidate();

  // Clone() is a template so it is only instantiated if it is used. Thus, the
  // bindings generator does not need to know whether Clone() or copy
  // constructor/assignment are available for members.
  template <typename StructPtrType = NextWordCompletionCandidatePtr>
  NextWordCompletionCandidatePtr Clone() const;

  // Equals() is a template so it is only instantiated if it is used. Thus, the
  // bindings generator does not need to know whether Equals() or == operator
  // are available for members.
  template <typename T, NextWordCompletionCandidate::EnableIfSame<T>* = nullptr>
  bool Equals(const T& other) const;

  template <typename T, NextWordCompletionCandidate::EnableIfSame<T>* = nullptr>
  bool operator==(const T& rhs) const { return Equals(rhs); }
  size_t Hash(size_t seed) const;
  template <typename UserType>
  static std::vector<uint8_t> Serialize(UserType* input) {
    return mojo::internal::SerializeImpl<
        NextWordCompletionCandidate::DataView, std::vector<uint8_t>>(input);
  }

  template <typename UserType>
  static mojo::Message SerializeAsMessage(UserType* input) {
    return mojo::internal::SerializeAsMessageImpl<
        NextWordCompletionCandidate::DataView>(input);
  }

  // The returned Message is serialized only if the message is moved
  // cross-process or cross-language. Otherwise if the message is Deserialized
  // as the same UserType |input| will just be moved to |output| in
  // DeserializeFromMessage.
  template <typename UserType>
  static mojo::Message WrapAsMessage(UserType input) {
    return mojo::Message(std::make_unique<
        internal::NextWordCompletionCandidate_UnserializedMessageContext<
            UserType, NextWordCompletionCandidate::DataView>>(0, 0, std::move(input)),
        MOJO_CREATE_MESSAGE_FLAG_NONE);
  }

  template <typename UserType>
  static bool Deserialize(const void* data,
                          size_t data_num_bytes,
                          UserType* output) {
    mojo::Message message;
    return mojo::internal::DeserializeImpl<NextWordCompletionCandidate::DataView>(
        message, data, data_num_bytes, output, Validate);
  }

  template <typename UserType>
  static bool Deserialize(const std::vector<uint8_t>& input,
                          UserType* output) {
    return NextWordCompletionCandidate::Deserialize(
        input.size() == 0 ? nullptr : &input.front(), input.size(), output);
  }

  template <typename UserType>
  static bool DeserializeFromMessage(mojo::Message input,
                                     UserType* output) {
    auto context = input.TakeUnserializedContext<
        internal::NextWordCompletionCandidate_UnserializedMessageContext<
            UserType, NextWordCompletionCandidate::DataView>>();
    if (context) {
      *output = std::move(context->TakeData());
      return true;
    }
    input.SerializeIfNecessary();
    return mojo::internal::DeserializeImpl<NextWordCompletionCandidate::DataView>(
        input, input.payload(), input.payload_num_bytes(), output, Validate);
  }

  
// @generated_from: chromeos.machine_learning.mojom.NextWordCompletionCandidate.text
  std::string text;
  
// @generated_from: chromeos.machine_learning.mojom.NextWordCompletionCandidate.normalized_score
  float normalized_score;

  // Serialise this struct into a trace.
  void WriteIntoTrace(perfetto::TracedValue traced_context) const;

 private:
  static bool Validate(const void* data,
                       mojo::internal::ValidationContext* validation_context);
};

// The comparison operators are templates, so they are only instantiated if they
// are used. Thus, the bindings generator does not need to know whether
// comparison operators are available for members.
template <typename T, NextWordCompletionCandidate::EnableIfSame<T>* = nullptr>
bool operator<(const T& lhs, const T& rhs);

template <typename T, NextWordCompletionCandidate::EnableIfSame<T>* = nullptr>
bool operator<=(const T& lhs, const T& rhs) {
  return !(rhs < lhs);
}

template <typename T, NextWordCompletionCandidate::EnableIfSame<T>* = nullptr>
bool operator>(const T& lhs, const T& rhs) {
  return rhs < lhs;
}

template <typename T, NextWordCompletionCandidate::EnableIfSame<T>* = nullptr>
bool operator>=(const T& lhs, const T& rhs) {
  return !(lhs < rhs);
}






// @generated_from: chromeos.machine_learning.mojom.MultiWordSuggestionCandidate
class COMPONENT_EXPORT(MLSERVICE_MOJOM) MultiWordSuggestionCandidate {
 public:
  template <typename T>
  using EnableIfSame = std::enable_if_t<std::is_same<MultiWordSuggestionCandidate, T>::value>;
  using DataView = MultiWordSuggestionCandidateDataView;
  using Data_ = internal::MultiWordSuggestionCandidate_Data;

  template <typename... Args>
  static MultiWordSuggestionCandidatePtr New(Args&&... args) {
    return MultiWordSuggestionCandidatePtr(
        absl::in_place, std::forward<Args>(args)...);
  }

  template <typename U>
  static MultiWordSuggestionCandidatePtr From(const U& u) {
    return mojo::TypeConverter<MultiWordSuggestionCandidatePtr, U>::Convert(u);
  }

  template <typename U>
  U To() const {
    return mojo::TypeConverter<U, MultiWordSuggestionCandidate>::Convert(*this);
  }


  MultiWordSuggestionCandidate();

  MultiWordSuggestionCandidate(
      const std::string& text,
      float normalized_score);


  ~MultiWordSuggestionCandidate();

  // Clone() is a template so it is only instantiated if it is used. Thus, the
  // bindings generator does not need to know whether Clone() or copy
  // constructor/assignment are available for members.
  template <typename StructPtrType = MultiWordSuggestionCandidatePtr>
  MultiWordSuggestionCandidatePtr Clone() const;

  // Equals() is a template so it is only instantiated if it is used. Thus, the
  // bindings generator does not need to know whether Equals() or == operator
  // are available for members.
  template <typename T, MultiWordSuggestionCandidate::EnableIfSame<T>* = nullptr>
  bool Equals(const T& other) const;

  template <typename T, MultiWordSuggestionCandidate::EnableIfSame<T>* = nullptr>
  bool operator==(const T& rhs) const { return Equals(rhs); }
  size_t Hash(size_t seed) const;
  template <typename UserType>
  static std::vector<uint8_t> Serialize(UserType* input) {
    return mojo::internal::SerializeImpl<
        MultiWordSuggestionCandidate::DataView, std::vector<uint8_t>>(input);
  }

  template <typename UserType>
  static mojo::Message SerializeAsMessage(UserType* input) {
    return mojo::internal::SerializeAsMessageImpl<
        MultiWordSuggestionCandidate::DataView>(input);
  }

  // The returned Message is serialized only if the message is moved
  // cross-process or cross-language. Otherwise if the message is Deserialized
  // as the same UserType |input| will just be moved to |output| in
  // DeserializeFromMessage.
  template <typename UserType>
  static mojo::Message WrapAsMessage(UserType input) {
    return mojo::Message(std::make_unique<
        internal::MultiWordSuggestionCandidate_UnserializedMessageContext<
            UserType, MultiWordSuggestionCandidate::DataView>>(0, 0, std::move(input)),
        MOJO_CREATE_MESSAGE_FLAG_NONE);
  }

  template <typename UserType>
  static bool Deserialize(const void* data,
                          size_t data_num_bytes,
                          UserType* output) {
    mojo::Message message;
    return mojo::internal::DeserializeImpl<MultiWordSuggestionCandidate::DataView>(
        message, data, data_num_bytes, output, Validate);
  }

  template <typename UserType>
  static bool Deserialize(const std::vector<uint8_t>& input,
                          UserType* output) {
    return MultiWordSuggestionCandidate::Deserialize(
        input.size() == 0 ? nullptr : &input.front(), input.size(), output);
  }

  template <typename UserType>
  static bool DeserializeFromMessage(mojo::Message input,
                                     UserType* output) {
    auto context = input.TakeUnserializedContext<
        internal::MultiWordSuggestionCandidate_UnserializedMessageContext<
            UserType, MultiWordSuggestionCandidate::DataView>>();
    if (context) {
      *output = std::move(context->TakeData());
      return true;
    }
    input.SerializeIfNecessary();
    return mojo::internal::DeserializeImpl<MultiWordSuggestionCandidate::DataView>(
        input, input.payload(), input.payload_num_bytes(), output, Validate);
  }

  
// @generated_from: chromeos.machine_learning.mojom.MultiWordSuggestionCandidate.text
  std::string text;
  
// @generated_from: chromeos.machine_learning.mojom.MultiWordSuggestionCandidate.normalized_score
  float normalized_score;

  // Serialise this struct into a trace.
  void WriteIntoTrace(perfetto::TracedValue traced_context) const;

 private:
  static bool Validate(const void* data,
                       mojo::internal::ValidationContext* validation_context);
};

// The comparison operators are templates, so they are only instantiated if they
// are used. Thus, the bindings generator does not need to know whether
// comparison operators are available for members.
template <typename T, MultiWordSuggestionCandidate::EnableIfSame<T>* = nullptr>
bool operator<(const T& lhs, const T& rhs);

template <typename T, MultiWordSuggestionCandidate::EnableIfSame<T>* = nullptr>
bool operator<=(const T& lhs, const T& rhs) {
  return !(rhs < lhs);
}

template <typename T, MultiWordSuggestionCandidate::EnableIfSame<T>* = nullptr>
bool operator>(const T& lhs, const T& rhs) {
  return rhs < lhs;
}

template <typename T, MultiWordSuggestionCandidate::EnableIfSame<T>* = nullptr>
bool operator>=(const T& lhs, const T& rhs) {
  return !(lhs < rhs);
}






// @generated_from: chromeos.machine_learning.mojom.TextSuggesterSpec
class COMPONENT_EXPORT(MLSERVICE_MOJOM) TextSuggesterSpec {
 public:
  template <typename T>
  using EnableIfSame = std::enable_if_t<std::is_same<TextSuggesterSpec, T>::value>;
  using DataView = TextSuggesterSpecDataView;
  using Data_ = internal::TextSuggesterSpec_Data;

  template <typename... Args>
  static TextSuggesterSpecPtr New(Args&&... args) {
    return TextSuggesterSpecPtr(
        absl::in_place, std::forward<Args>(args)...);
  }

  template <typename U>
  static TextSuggesterSpecPtr From(const U& u) {
    return mojo::TypeConverter<TextSuggesterSpecPtr, U>::Convert(u);
  }

  template <typename U>
  U To() const {
    return mojo::TypeConverter<U, TextSuggesterSpec>::Convert(*this);
  }


  TextSuggesterSpec();

  explicit TextSuggesterSpec(
      MultiWordExperimentGroup multi_word_experiment);


  ~TextSuggesterSpec();

  // Clone() is a template so it is only instantiated if it is used. Thus, the
  // bindings generator does not need to know whether Clone() or copy
  // constructor/assignment are available for members.
  template <typename StructPtrType = TextSuggesterSpecPtr>
  TextSuggesterSpecPtr Clone() const;

  // Equals() is a template so it is only instantiated if it is used. Thus, the
  // bindings generator does not need to know whether Equals() or == operator
  // are available for members.
  template <typename T, TextSuggesterSpec::EnableIfSame<T>* = nullptr>
  bool Equals(const T& other) const;

  template <typename T, TextSuggesterSpec::EnableIfSame<T>* = nullptr>
  bool operator==(const T& rhs) const { return Equals(rhs); }
  size_t Hash(size_t seed) const;
  template <typename UserType>
  static std::vector<uint8_t> Serialize(UserType* input) {
    return mojo::internal::SerializeImpl<
        TextSuggesterSpec::DataView, std::vector<uint8_t>>(input);
  }

  template <typename UserType>
  static mojo::Message SerializeAsMessage(UserType* input) {
    return mojo::internal::SerializeAsMessageImpl<
        TextSuggesterSpec::DataView>(input);
  }

  // The returned Message is serialized only if the message is moved
  // cross-process or cross-language. Otherwise if the message is Deserialized
  // as the same UserType |input| will just be moved to |output| in
  // DeserializeFromMessage.
  template <typename UserType>
  static mojo::Message WrapAsMessage(UserType input) {
    return mojo::Message(std::make_unique<
        internal::TextSuggesterSpec_UnserializedMessageContext<
            UserType, TextSuggesterSpec::DataView>>(0, 0, std::move(input)),
        MOJO_CREATE_MESSAGE_FLAG_NONE);
  }

  template <typename UserType>
  static bool Deserialize(const void* data,
                          size_t data_num_bytes,
                          UserType* output) {
    mojo::Message message;
    return mojo::internal::DeserializeImpl<TextSuggesterSpec::DataView>(
        message, data, data_num_bytes, output, Validate);
  }

  template <typename UserType>
  static bool Deserialize(const std::vector<uint8_t>& input,
                          UserType* output) {
    return TextSuggesterSpec::Deserialize(
        input.size() == 0 ? nullptr : &input.front(), input.size(), output);
  }

  template <typename UserType>
  static bool DeserializeFromMessage(mojo::Message input,
                                     UserType* output) {
    auto context = input.TakeUnserializedContext<
        internal::TextSuggesterSpec_UnserializedMessageContext<
            UserType, TextSuggesterSpec::DataView>>();
    if (context) {
      *output = std::move(context->TakeData());
      return true;
    }
    input.SerializeIfNecessary();
    return mojo::internal::DeserializeImpl<TextSuggesterSpec::DataView>(
        input, input.payload(), input.payload_num_bytes(), output, Validate);
  }

  
// @generated_from: chromeos.machine_learning.mojom.TextSuggesterSpec.multi_word_experiment
  MultiWordExperimentGroup multi_word_experiment;

  // Serialise this struct into a trace.
  void WriteIntoTrace(perfetto::TracedValue traced_context) const;

 private:
  static bool Validate(const void* data,
                       mojo::internal::ValidationContext* validation_context);
};

// The comparison operators are templates, so they are only instantiated if they
// are used. Thus, the bindings generator does not need to know whether
// comparison operators are available for members.
template <typename T, TextSuggesterSpec::EnableIfSame<T>* = nullptr>
bool operator<(const T& lhs, const T& rhs);

template <typename T, TextSuggesterSpec::EnableIfSame<T>* = nullptr>
bool operator<=(const T& lhs, const T& rhs) {
  return !(rhs < lhs);
}

template <typename T, TextSuggesterSpec::EnableIfSame<T>* = nullptr>
bool operator>(const T& lhs, const T& rhs) {
  return rhs < lhs;
}

template <typename T, TextSuggesterSpec::EnableIfSame<T>* = nullptr>
bool operator>=(const T& lhs, const T& rhs) {
  return !(lhs < rhs);
}





// @generated_from: chromeos.machine_learning.mojom.TextSuggestionCandidate
class COMPONENT_EXPORT(MLSERVICE_MOJOM) TextSuggestionCandidate {
 public:
  using DataView = TextSuggestionCandidateDataView;
  using Data_ = internal::TextSuggestionCandidate_Data;
  using Tag = Data_::TextSuggestionCandidate_Tag;

  template <typename... Args>
  static TextSuggestionCandidatePtr New(Args&&... args) {
    static_assert(
        sizeof...(args) < 0,
        "Do not use Union::New(); to create a union of a given subtype, use "
        "New<SubType>(), not New() followed by set_<sub_type>(). To represent "
        "an empty union, mark the field or parameter as nullable in the mojom "
        "definition.");
  }
  // Construct an instance holding |multi_word|.
  static TextSuggestionCandidatePtr
  NewMultiWord(
      MultiWordSuggestionCandidatePtr multi_word) {
    auto result = TextSuggestionCandidatePtr(absl::in_place);
    result->set_multi_word(std::move(multi_word));
    return result;
  }

  template <typename U>
  static TextSuggestionCandidatePtr From(const U& u) {
    return mojo::TypeConverter<TextSuggestionCandidatePtr, U>::Convert(u);
  }

  template <typename U>
  U To() const {
    return mojo::TypeConverter<U, TextSuggestionCandidate>::Convert(*this);
  }

  TextSuggestionCandidate();
  ~TextSuggestionCandidate();

  // Clone() is a template so it is only instantiated if it is used. Thus, the
  // bindings generator does not need to know whether Clone() or copy
  // constructor/assignment are available for members.
  template <typename UnionPtrType = TextSuggestionCandidatePtr>
  TextSuggestionCandidatePtr Clone() const;

  // Equals() is a template so it is only instantiated if it is used. Thus, the
  // bindings generator does not need to know whether Equals() or == operator
  // are available for members.
  template <typename T,
            typename std::enable_if<std::is_same<
                T, TextSuggestionCandidate>::value>::type* = nullptr>
  bool Equals(const T& other) const;

  template <typename T,
            typename std::enable_if<std::is_same<
                T, TextSuggestionCandidate>::value>::type* = nullptr>
  bool operator==(const T& rhs) const { return Equals(rhs); }
  size_t Hash(size_t seed) const;

  Tag which() const {
    return tag_;
  }


  
// @generated_from: chromeos.machine_learning.mojom.TextSuggestionCandidate.multi_word
  bool is_multi_word() const { return tag_ == Tag::kMultiWord; }

  
// @generated_from: chromeos.machine_learning.mojom.TextSuggestionCandidate.multi_word
  MultiWordSuggestionCandidatePtr& get_multi_word() const {
    CHECK(tag_ == Tag::kMultiWord);
    return *(data_.multi_word);
  }

  
// @generated_from: chromeos.machine_learning.mojom.TextSuggestionCandidate.multi_word
  void set_multi_word(
      MultiWordSuggestionCandidatePtr multi_word);

  template <typename UserType>
  static mojo::Message SerializeAsMessage(UserType* input) {
    return mojo::internal::SerializeAsMessageImpl<
        TextSuggestionCandidate::DataView>(input);
  }

  template <typename UserType>
  static bool DeserializeFromMessage(mojo::Message input,
                                     UserType* output) {
    return mojo::internal::DeserializeImpl<TextSuggestionCandidate::DataView>(
        input, input.payload(), input.payload_num_bytes(), output, Validate);
  }

 private:
  union Union_ {
    Union_() = default;
    ~Union_() = default;
    MultiWordSuggestionCandidatePtr* multi_word;
  };

  static bool Validate(const void* data,
                       mojo::internal::ValidationContext* validation_context);

  void DestroyActive();
  Tag tag_;
  Union_ data_;
};






// @generated_from: chromeos.machine_learning.mojom.TextSuggesterQuery
class COMPONENT_EXPORT(MLSERVICE_MOJOM) TextSuggesterQuery {
 public:
  template <typename T>
  using EnableIfSame = std::enable_if_t<std::is_same<TextSuggesterQuery, T>::value>;
  using DataView = TextSuggesterQueryDataView;
  using Data_ = internal::TextSuggesterQuery_Data;

  template <typename... Args>
  static TextSuggesterQueryPtr New(Args&&... args) {
    return TextSuggesterQueryPtr(
        absl::in_place, std::forward<Args>(args)...);
  }

  template <typename U>
  static TextSuggesterQueryPtr From(const U& u) {
    return mojo::TypeConverter<TextSuggesterQueryPtr, U>::Convert(u);
  }

  template <typename U>
  U To() const {
    return mojo::TypeConverter<U, TextSuggesterQuery>::Convert(*this);
  }


  TextSuggesterQuery();

  TextSuggesterQuery(
      const std::string& text,
      std::vector<NextWordCompletionCandidatePtr> next_word_candidates);

  TextSuggesterQuery(
      const std::string& text,
      std::vector<NextWordCompletionCandidatePtr> next_word_candidates,
      TextSuggestionMode suggestion_mode);

TextSuggesterQuery(const TextSuggesterQuery&) = delete;
TextSuggesterQuery& operator=(const TextSuggesterQuery&) = delete;

  ~TextSuggesterQuery();

  // Clone() is a template so it is only instantiated if it is used. Thus, the
  // bindings generator does not need to know whether Clone() or copy
  // constructor/assignment are available for members.
  template <typename StructPtrType = TextSuggesterQueryPtr>
  TextSuggesterQueryPtr Clone() const;

  // Equals() is a template so it is only instantiated if it is used. Thus, the
  // bindings generator does not need to know whether Equals() or == operator
  // are available for members.
  template <typename T, TextSuggesterQuery::EnableIfSame<T>* = nullptr>
  bool Equals(const T& other) const;

  template <typename T, TextSuggesterQuery::EnableIfSame<T>* = nullptr>
  bool operator==(const T& rhs) const { return Equals(rhs); }
  template <typename UserType>
  static std::vector<uint8_t> Serialize(UserType* input) {
    return mojo::internal::SerializeImpl<
        TextSuggesterQuery::DataView, std::vector<uint8_t>>(input);
  }

  template <typename UserType>
  static mojo::Message SerializeAsMessage(UserType* input) {
    return mojo::internal::SerializeAsMessageImpl<
        TextSuggesterQuery::DataView>(input);
  }

  // The returned Message is serialized only if the message is moved
  // cross-process or cross-language. Otherwise if the message is Deserialized
  // as the same UserType |input| will just be moved to |output| in
  // DeserializeFromMessage.
  template <typename UserType>
  static mojo::Message WrapAsMessage(UserType input) {
    return mojo::Message(std::make_unique<
        internal::TextSuggesterQuery_UnserializedMessageContext<
            UserType, TextSuggesterQuery::DataView>>(0, 0, std::move(input)),
        MOJO_CREATE_MESSAGE_FLAG_NONE);
  }

  template <typename UserType>
  static bool Deserialize(const void* data,
                          size_t data_num_bytes,
                          UserType* output) {
    mojo::Message message;
    return mojo::internal::DeserializeImpl<TextSuggesterQuery::DataView>(
        message, data, data_num_bytes, output, Validate);
  }

  template <typename UserType>
  static bool Deserialize(const std::vector<uint8_t>& input,
                          UserType* output) {
    return TextSuggesterQuery::Deserialize(
        input.size() == 0 ? nullptr : &input.front(), input.size(), output);
  }

  template <typename UserType>
  static bool DeserializeFromMessage(mojo::Message input,
                                     UserType* output) {
    auto context = input.TakeUnserializedContext<
        internal::TextSuggesterQuery_UnserializedMessageContext<
            UserType, TextSuggesterQuery::DataView>>();
    if (context) {
      *output = std::move(context->TakeData());
      return true;
    }
    input.SerializeIfNecessary();
    return mojo::internal::DeserializeImpl<TextSuggesterQuery::DataView>(
        input, input.payload(), input.payload_num_bytes(), output, Validate);
  }

  
// @generated_from: chromeos.machine_learning.mojom.TextSuggesterQuery.text
  std::string text;
  
// @generated_from: chromeos.machine_learning.mojom.TextSuggesterQuery.next_word_candidates
  std::vector<NextWordCompletionCandidatePtr> next_word_candidates;
  
// @generated_from: chromeos.machine_learning.mojom.TextSuggesterQuery.suggestion_mode
  TextSuggestionMode suggestion_mode;

  // Serialise this struct into a trace.
  void WriteIntoTrace(perfetto::TracedValue traced_context) const;

 private:
  static bool Validate(const void* data,
                       mojo::internal::ValidationContext* validation_context);
};

// The comparison operators are templates, so they are only instantiated if they
// are used. Thus, the bindings generator does not need to know whether
// comparison operators are available for members.
template <typename T, TextSuggesterQuery::EnableIfSame<T>* = nullptr>
bool operator<(const T& lhs, const T& rhs);

template <typename T, TextSuggesterQuery::EnableIfSame<T>* = nullptr>
bool operator<=(const T& lhs, const T& rhs) {
  return !(rhs < lhs);
}

template <typename T, TextSuggesterQuery::EnableIfSame<T>* = nullptr>
bool operator>(const T& lhs, const T& rhs) {
  return rhs < lhs;
}

template <typename T, TextSuggesterQuery::EnableIfSame<T>* = nullptr>
bool operator>=(const T& lhs, const T& rhs) {
  return !(lhs < rhs);
}






// @generated_from: chromeos.machine_learning.mojom.TextSuggesterResult
class COMPONENT_EXPORT(MLSERVICE_MOJOM) TextSuggesterResult {
 public:
  template <typename T>
  using EnableIfSame = std::enable_if_t<std::is_same<TextSuggesterResult, T>::value>;
  using DataView = TextSuggesterResultDataView;
  using Data_ = internal::TextSuggesterResult_Data;
// @generated_from: chromeos.machine_learning.mojom.TextSuggesterResult.Status
  using Status = TextSuggesterResult_Status;

  template <typename... Args>
  static TextSuggesterResultPtr New(Args&&... args) {
    return TextSuggesterResultPtr(
        absl::in_place, std::forward<Args>(args)...);
  }

  template <typename U>
  static TextSuggesterResultPtr From(const U& u) {
    return mojo::TypeConverter<TextSuggesterResultPtr, U>::Convert(u);
  }

  template <typename U>
  U To() const {
    return mojo::TypeConverter<U, TextSuggesterResult>::Convert(*this);
  }


  TextSuggesterResult();

  TextSuggesterResult(
      TextSuggesterResult::Status status,
      std::vector<TextSuggestionCandidatePtr> candidates);

TextSuggesterResult(const TextSuggesterResult&) = delete;
TextSuggesterResult& operator=(const TextSuggesterResult&) = delete;

  ~TextSuggesterResult();

  // Clone() is a template so it is only instantiated if it is used. Thus, the
  // bindings generator does not need to know whether Clone() or copy
  // constructor/assignment are available for members.
  template <typename StructPtrType = TextSuggesterResultPtr>
  TextSuggesterResultPtr Clone() const;

  // Equals() is a template so it is only instantiated if it is used. Thus, the
  // bindings generator does not need to know whether Equals() or == operator
  // are available for members.
  template <typename T, TextSuggesterResult::EnableIfSame<T>* = nullptr>
  bool Equals(const T& other) const;

  template <typename T, TextSuggesterResult::EnableIfSame<T>* = nullptr>
  bool operator==(const T& rhs) const { return Equals(rhs); }
  template <typename UserType>
  static std::vector<uint8_t> Serialize(UserType* input) {
    return mojo::internal::SerializeImpl<
        TextSuggesterResult::DataView, std::vector<uint8_t>>(input);
  }

  template <typename UserType>
  static mojo::Message SerializeAsMessage(UserType* input) {
    return mojo::internal::SerializeAsMessageImpl<
        TextSuggesterResult::DataView>(input);
  }

  // The returned Message is serialized only if the message is moved
  // cross-process or cross-language. Otherwise if the message is Deserialized
  // as the same UserType |input| will just be moved to |output| in
  // DeserializeFromMessage.
  template <typename UserType>
  static mojo::Message WrapAsMessage(UserType input) {
    return mojo::Message(std::make_unique<
        internal::TextSuggesterResult_UnserializedMessageContext<
            UserType, TextSuggesterResult::DataView>>(0, 0, std::move(input)),
        MOJO_CREATE_MESSAGE_FLAG_NONE);
  }

  template <typename UserType>
  static bool Deserialize(const void* data,
                          size_t data_num_bytes,
                          UserType* output) {
    mojo::Message message;
    return mojo::internal::DeserializeImpl<TextSuggesterResult::DataView>(
        message, data, data_num_bytes, output, Validate);
  }

  template <typename UserType>
  static bool Deserialize(const std::vector<uint8_t>& input,
                          UserType* output) {
    return TextSuggesterResult::Deserialize(
        input.size() == 0 ? nullptr : &input.front(), input.size(), output);
  }

  template <typename UserType>
  static bool DeserializeFromMessage(mojo::Message input,
                                     UserType* output) {
    auto context = input.TakeUnserializedContext<
        internal::TextSuggesterResult_UnserializedMessageContext<
            UserType, TextSuggesterResult::DataView>>();
    if (context) {
      *output = std::move(context->TakeData());
      return true;
    }
    input.SerializeIfNecessary();
    return mojo::internal::DeserializeImpl<TextSuggesterResult::DataView>(
        input, input.payload(), input.payload_num_bytes(), output, Validate);
  }

  
// @generated_from: chromeos.machine_learning.mojom.TextSuggesterResult.status
  TextSuggesterResult::Status status;
  
// @generated_from: chromeos.machine_learning.mojom.TextSuggesterResult.candidates
  std::vector<TextSuggestionCandidatePtr> candidates;

  // Serialise this struct into a trace.
  void WriteIntoTrace(perfetto::TracedValue traced_context) const;

 private:
  static bool Validate(const void* data,
                       mojo::internal::ValidationContext* validation_context);
};

// The comparison operators are templates, so they are only instantiated if they
// are used. Thus, the bindings generator does not need to know whether
// comparison operators are available for members.
template <typename T, TextSuggesterResult::EnableIfSame<T>* = nullptr>
bool operator<(const T& lhs, const T& rhs);

template <typename T, TextSuggesterResult::EnableIfSame<T>* = nullptr>
bool operator<=(const T& lhs, const T& rhs) {
  return !(rhs < lhs);
}

template <typename T, TextSuggesterResult::EnableIfSame<T>* = nullptr>
bool operator>(const T& lhs, const T& rhs) {
  return rhs < lhs;
}

template <typename T, TextSuggesterResult::EnableIfSame<T>* = nullptr>
bool operator>=(const T& lhs, const T& rhs) {
  return !(lhs < rhs);
}


template <typename UnionPtrType>
TextSuggestionCandidatePtr TextSuggestionCandidate::Clone() const {
  switch (tag_) {
    case Tag::kMultiWord:
      return NewMultiWord(
          mojo::Clone(*data_.multi_word));
  }
  return nullptr;
}

template <typename T,
          typename std::enable_if<std::is_same<
              T, TextSuggestionCandidate>::value>::type*>
bool TextSuggestionCandidate::Equals(const T& other) const {
  if (tag_ != other.which())
    return false;

  switch (tag_) {
    case Tag::kMultiWord:
      return mojo::Equals(*(data_.multi_word), *(other.data_.multi_word));
  }

  return false;
}
template <typename StructPtrType>
NextWordCompletionCandidatePtr NextWordCompletionCandidate::Clone() const {
  return New(
      mojo::Clone(text),
      mojo::Clone(normalized_score)
  );
}

template <typename T, NextWordCompletionCandidate::EnableIfSame<T>*>
bool NextWordCompletionCandidate::Equals(const T& other_struct) const {
  if (!mojo::Equals(this->text, other_struct.text))
    return false;
  if (!mojo::Equals(this->normalized_score, other_struct.normalized_score))
    return false;
  return true;
}

template <typename T, NextWordCompletionCandidate::EnableIfSame<T>*>
bool operator<(const T& lhs, const T& rhs) {
  if (lhs.text < rhs.text)
    return true;
  if (rhs.text < lhs.text)
    return false;
  if (lhs.normalized_score < rhs.normalized_score)
    return true;
  if (rhs.normalized_score < lhs.normalized_score)
    return false;
  return false;
}
template <typename StructPtrType>
TextSuggesterQueryPtr TextSuggesterQuery::Clone() const {
  return New(
      mojo::Clone(text),
      mojo::Clone(next_word_candidates),
      mojo::Clone(suggestion_mode)
  );
}

template <typename T, TextSuggesterQuery::EnableIfSame<T>*>
bool TextSuggesterQuery::Equals(const T& other_struct) const {
  if (!mojo::Equals(this->text, other_struct.text))
    return false;
  if (!mojo::Equals(this->next_word_candidates, other_struct.next_word_candidates))
    return false;
  if (!mojo::Equals(this->suggestion_mode, other_struct.suggestion_mode))
    return false;
  return true;
}

template <typename T, TextSuggesterQuery::EnableIfSame<T>*>
bool operator<(const T& lhs, const T& rhs) {
  if (lhs.text < rhs.text)
    return true;
  if (rhs.text < lhs.text)
    return false;
  if (lhs.next_word_candidates < rhs.next_word_candidates)
    return true;
  if (rhs.next_word_candidates < lhs.next_word_candidates)
    return false;
  if (lhs.suggestion_mode < rhs.suggestion_mode)
    return true;
  if (rhs.suggestion_mode < lhs.suggestion_mode)
    return false;
  return false;
}
template <typename StructPtrType>
MultiWordSuggestionCandidatePtr MultiWordSuggestionCandidate::Clone() const {
  return New(
      mojo::Clone(text),
      mojo::Clone(normalized_score)
  );
}

template <typename T, MultiWordSuggestionCandidate::EnableIfSame<T>*>
bool MultiWordSuggestionCandidate::Equals(const T& other_struct) const {
  if (!mojo::Equals(this->text, other_struct.text))
    return false;
  if (!mojo::Equals(this->normalized_score, other_struct.normalized_score))
    return false;
  return true;
}

template <typename T, MultiWordSuggestionCandidate::EnableIfSame<T>*>
bool operator<(const T& lhs, const T& rhs) {
  if (lhs.text < rhs.text)
    return true;
  if (rhs.text < lhs.text)
    return false;
  if (lhs.normalized_score < rhs.normalized_score)
    return true;
  if (rhs.normalized_score < lhs.normalized_score)
    return false;
  return false;
}
template <typename StructPtrType>
TextSuggesterResultPtr TextSuggesterResult::Clone() const {
  return New(
      mojo::Clone(status),
      mojo::Clone(candidates)
  );
}

template <typename T, TextSuggesterResult::EnableIfSame<T>*>
bool TextSuggesterResult::Equals(const T& other_struct) const {
  if (!mojo::Equals(this->status, other_struct.status))
    return false;
  if (!mojo::Equals(this->candidates, other_struct.candidates))
    return false;
  return true;
}

template <typename T, TextSuggesterResult::EnableIfSame<T>*>
bool operator<(const T& lhs, const T& rhs) {
  if (lhs.status < rhs.status)
    return true;
  if (rhs.status < lhs.status)
    return false;
  if (lhs.candidates < rhs.candidates)
    return true;
  if (rhs.candidates < lhs.candidates)
    return false;
  return false;
}
template <typename StructPtrType>
TextSuggesterSpecPtr TextSuggesterSpec::Clone() const {
  return New(
      mojo::Clone(multi_word_experiment)
  );
}

template <typename T, TextSuggesterSpec::EnableIfSame<T>*>
bool TextSuggesterSpec::Equals(const T& other_struct) const {
  if (!mojo::Equals(this->multi_word_experiment, other_struct.multi_word_experiment))
    return false;
  return true;
}

template <typename T, TextSuggesterSpec::EnableIfSame<T>*>
bool operator<(const T& lhs, const T& rhs) {
  if (lhs.multi_word_experiment < rhs.multi_word_experiment)
    return true;
  if (rhs.multi_word_experiment < lhs.multi_word_experiment)
    return false;
  return false;
}


}  // namespace mojom
}  // namespace machine_learning
}  // namespace chromeos

namespace mojo {


template <>
struct COMPONENT_EXPORT(MLSERVICE_MOJOM) StructTraits<::chromeos::machine_learning::mojom::NextWordCompletionCandidate::DataView,
                                         ::chromeos::machine_learning::mojom::NextWordCompletionCandidatePtr> {
  static bool IsNull(const ::chromeos::machine_learning::mojom::NextWordCompletionCandidatePtr& input) { return !input; }
  static void SetToNull(::chromeos::machine_learning::mojom::NextWordCompletionCandidatePtr* output) { output->reset(); }

  static const decltype(::chromeos::machine_learning::mojom::NextWordCompletionCandidate::text)& text(
      const ::chromeos::machine_learning::mojom::NextWordCompletionCandidatePtr& input) {
    return input->text;
  }

  static decltype(::chromeos::machine_learning::mojom::NextWordCompletionCandidate::normalized_score) normalized_score(
      const ::chromeos::machine_learning::mojom::NextWordCompletionCandidatePtr& input) {
    return input->normalized_score;
  }

  static bool Read(::chromeos::machine_learning::mojom::NextWordCompletionCandidate::DataView input, ::chromeos::machine_learning::mojom::NextWordCompletionCandidatePtr* output);
};


template <>
struct COMPONENT_EXPORT(MLSERVICE_MOJOM) StructTraits<::chromeos::machine_learning::mojom::TextSuggesterQuery::DataView,
                                         ::chromeos::machine_learning::mojom::TextSuggesterQueryPtr> {
  static bool IsNull(const ::chromeos::machine_learning::mojom::TextSuggesterQueryPtr& input) { return !input; }
  static void SetToNull(::chromeos::machine_learning::mojom::TextSuggesterQueryPtr* output) { output->reset(); }

  static const decltype(::chromeos::machine_learning::mojom::TextSuggesterQuery::text)& text(
      const ::chromeos::machine_learning::mojom::TextSuggesterQueryPtr& input) {
    return input->text;
  }

  static const decltype(::chromeos::machine_learning::mojom::TextSuggesterQuery::next_word_candidates)& next_word_candidates(
      const ::chromeos::machine_learning::mojom::TextSuggesterQueryPtr& input) {
    return input->next_word_candidates;
  }

  static decltype(::chromeos::machine_learning::mojom::TextSuggesterQuery::suggestion_mode) suggestion_mode(
      const ::chromeos::machine_learning::mojom::TextSuggesterQueryPtr& input) {
    return input->suggestion_mode;
  }

  static bool Read(::chromeos::machine_learning::mojom::TextSuggesterQuery::DataView input, ::chromeos::machine_learning::mojom::TextSuggesterQueryPtr* output);
};


template <>
struct COMPONENT_EXPORT(MLSERVICE_MOJOM) StructTraits<::chromeos::machine_learning::mojom::MultiWordSuggestionCandidate::DataView,
                                         ::chromeos::machine_learning::mojom::MultiWordSuggestionCandidatePtr> {
  static bool IsNull(const ::chromeos::machine_learning::mojom::MultiWordSuggestionCandidatePtr& input) { return !input; }
  static void SetToNull(::chromeos::machine_learning::mojom::MultiWordSuggestionCandidatePtr* output) { output->reset(); }

  static const decltype(::chromeos::machine_learning::mojom::MultiWordSuggestionCandidate::text)& text(
      const ::chromeos::machine_learning::mojom::MultiWordSuggestionCandidatePtr& input) {
    return input->text;
  }

  static decltype(::chromeos::machine_learning::mojom::MultiWordSuggestionCandidate::normalized_score) normalized_score(
      const ::chromeos::machine_learning::mojom::MultiWordSuggestionCandidatePtr& input) {
    return input->normalized_score;
  }

  static bool Read(::chromeos::machine_learning::mojom::MultiWordSuggestionCandidate::DataView input, ::chromeos::machine_learning::mojom::MultiWordSuggestionCandidatePtr* output);
};


template <>
struct COMPONENT_EXPORT(MLSERVICE_MOJOM) StructTraits<::chromeos::machine_learning::mojom::TextSuggesterResult::DataView,
                                         ::chromeos::machine_learning::mojom::TextSuggesterResultPtr> {
  static bool IsNull(const ::chromeos::machine_learning::mojom::TextSuggesterResultPtr& input) { return !input; }
  static void SetToNull(::chromeos::machine_learning::mojom::TextSuggesterResultPtr* output) { output->reset(); }

  static decltype(::chromeos::machine_learning::mojom::TextSuggesterResult::status) status(
      const ::chromeos::machine_learning::mojom::TextSuggesterResultPtr& input) {
    return input->status;
  }

  static const decltype(::chromeos::machine_learning::mojom::TextSuggesterResult::candidates)& candidates(
      const ::chromeos::machine_learning::mojom::TextSuggesterResultPtr& input) {
    return input->candidates;
  }

  static bool Read(::chromeos::machine_learning::mojom::TextSuggesterResult::DataView input, ::chromeos::machine_learning::mojom::TextSuggesterResultPtr* output);
};


template <>
struct COMPONENT_EXPORT(MLSERVICE_MOJOM) StructTraits<::chromeos::machine_learning::mojom::TextSuggesterSpec::DataView,
                                         ::chromeos::machine_learning::mojom::TextSuggesterSpecPtr> {
  static bool IsNull(const ::chromeos::machine_learning::mojom::TextSuggesterSpecPtr& input) { return !input; }
  static void SetToNull(::chromeos::machine_learning::mojom::TextSuggesterSpecPtr* output) { output->reset(); }

  static decltype(::chromeos::machine_learning::mojom::TextSuggesterSpec::multi_word_experiment) multi_word_experiment(
      const ::chromeos::machine_learning::mojom::TextSuggesterSpecPtr& input) {
    return input->multi_word_experiment;
  }

  static bool Read(::chromeos::machine_learning::mojom::TextSuggesterSpec::DataView input, ::chromeos::machine_learning::mojom::TextSuggesterSpecPtr* output);
};


template <>
struct COMPONENT_EXPORT(MLSERVICE_MOJOM) UnionTraits<::chromeos::machine_learning::mojom::TextSuggestionCandidate::DataView,
                                        ::chromeos::machine_learning::mojom::TextSuggestionCandidatePtr> {
  static bool IsNull(const ::chromeos::machine_learning::mojom::TextSuggestionCandidatePtr& input) { return !input; }
  static void SetToNull(::chromeos::machine_learning::mojom::TextSuggestionCandidatePtr* output) { output->reset(); }

  static ::chromeos::machine_learning::mojom::TextSuggestionCandidate::Tag GetTag(const ::chromeos::machine_learning::mojom::TextSuggestionCandidatePtr& input) {
    return input->which();
  }

  static const ::chromeos::machine_learning::mojom::MultiWordSuggestionCandidatePtr& multi_word(const ::chromeos::machine_learning::mojom::TextSuggestionCandidatePtr& input) {
    return input->get_multi_word();
  }

  static bool Read(::chromeos::machine_learning::mojom::TextSuggestionCandidate::DataView input, ::chromeos::machine_learning::mojom::TextSuggestionCandidatePtr* output);
};

}  // namespace mojo

#endif  // CHROMEOS_SERVICES_MACHINE_LEARNING_PUBLIC_MOJOM_TEXT_SUGGESTER_MOJOM_H_

/* Metadata comment
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