Debug/gen/chromeos/services/machine_learning/public/mojom/web_platform_handwriting.mojom.cc

// chromeos/services/machine_learning/public/mojom/web_platform_handwriting.mojom.cc 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.

#if defined(__clang__)
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wunused-private-field"
#endif

#include "chromeos/services/machine_learning/public/mojom/web_platform_handwriting.mojom.h"

#include <math.h>
#include <stdint.h>
#include <utility>

#include "base/debug/alias.h"
#include "base/hash/md5_constexpr.h"
#include "base/run_loop.h"
#include "base/strings/string_number_conversions.h"
#include "base/trace_event/trace_event.h"
#include "base/trace_event/typed_macros.h"
#include "mojo/public/cpp/bindings/lib/generated_code_util.h"
#include "mojo/public/cpp/bindings/lib/message_internal.h"
#include "mojo/public/cpp/bindings/lib/send_message_helper.h"
#include "mojo/public/cpp/bindings/lib/proxy_to_responder.h"
#include "mojo/public/cpp/bindings/lib/serialization_util.h"
#include "mojo/public/cpp/bindings/lib/unserialized_message_context.h"
#include "mojo/public/cpp/bindings/lib/validate_params.h"
#include "mojo/public/cpp/bindings/lib/validation_errors.h"
#include "mojo/public/cpp/bindings/mojo_buildflags.h"
#include "mojo/public/interfaces/bindings/interface_control_messages.mojom.h"
#include "third_party/perfetto/include/perfetto/tracing/traced_value.h"

#include "chromeos/services/machine_learning/public/mojom/web_platform_handwriting.mojom-params-data.h"
#include "chromeos/services/machine_learning/public/mojom/web_platform_handwriting.mojom-shared-message-ids.h"

#include "chromeos/services/machine_learning/public/mojom/web_platform_handwriting.mojom-import-headers.h"
#include "chromeos/services/machine_learning/public/mojom/web_platform_handwriting.mojom-test-utils.h"


#ifndef CHROMEOS_SERVICES_MACHINE_LEARNING_PUBLIC_MOJOM_WEB_PLATFORM_HANDWRITING_MOJOM_JUMBO_H_
#define CHROMEOS_SERVICES_MACHINE_LEARNING_PUBLIC_MOJOM_WEB_PLATFORM_HANDWRITING_MOJOM_JUMBO_H_
#endif



namespace chromeos {
namespace machine_learning {
namespace web_platform {
namespace mojom {
HandwritingPoint::HandwritingPoint()
    : location(),
      t() {}

HandwritingPoint::HandwritingPoint(
    const ::gfx::PointF& location_in,
    absl::optional<::base::TimeDelta> t_in)
    : location(std::move(location_in)),
      t(std::move(t_in)) {}

HandwritingPoint::~HandwritingPoint() = default;

void HandwritingPoint::WriteIntoTrace(
    perfetto::TracedValue traced_context) const {
  [[maybe_unused]] auto dict = std::move(traced_context).WriteDictionary();
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "location"), this->location,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type const ::gfx::PointF&>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "t"), this->t,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type absl::optional<::base::TimeDelta>>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
}

bool HandwritingPoint::Validate(
    const void* data,
    mojo::internal::ValidationContext* validation_context) {
  return Data_::Validate(data, validation_context);
}
HandwritingStroke::HandwritingStroke()
    : points() {}

HandwritingStroke::HandwritingStroke(
    std::vector<HandwritingPointPtr> points_in)
    : points(std::move(points_in)) {}

HandwritingStroke::~HandwritingStroke() = default;

void HandwritingStroke::WriteIntoTrace(
    perfetto::TracedValue traced_context) const {
  [[maybe_unused]] auto dict = std::move(traced_context).WriteDictionary();
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "points"), this->points,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type std::vector<HandwritingPointPtr>>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
}

bool HandwritingStroke::Validate(
    const void* data,
    mojo::internal::ValidationContext* validation_context) {
  return Data_::Validate(data, validation_context);
}
HandwritingDrawingSegment::HandwritingDrawingSegment()
    : stroke_index(),
      begin_point_index(),
      end_point_index() {}

HandwritingDrawingSegment::HandwritingDrawingSegment(
    uint32_t stroke_index_in,
    uint32_t begin_point_index_in,
    uint32_t end_point_index_in)
    : stroke_index(std::move(stroke_index_in)),
      begin_point_index(std::move(begin_point_index_in)),
      end_point_index(std::move(end_point_index_in)) {}

HandwritingDrawingSegment::~HandwritingDrawingSegment() = default;
size_t HandwritingDrawingSegment::Hash(size_t seed) const {
  seed = mojo::internal::Hash(seed, this->stroke_index);
  seed = mojo::internal::Hash(seed, this->begin_point_index);
  seed = mojo::internal::Hash(seed, this->end_point_index);
  return seed;
}

void HandwritingDrawingSegment::WriteIntoTrace(
    perfetto::TracedValue traced_context) const {
  [[maybe_unused]] auto dict = std::move(traced_context).WriteDictionary();
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "stroke_index"), this->stroke_index,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type uint32_t>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "begin_point_index"), this->begin_point_index,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type uint32_t>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "end_point_index"), this->end_point_index,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type uint32_t>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
}

bool HandwritingDrawingSegment::Validate(
    const void* data,
    mojo::internal::ValidationContext* validation_context) {
  return Data_::Validate(data, validation_context);
}
HandwritingSegment::HandwritingSegment()
    : grapheme(),
      begin_index(),
      end_index(),
      drawing_segments() {}

HandwritingSegment::HandwritingSegment(
    const std::string& grapheme_in,
    uint32_t begin_index_in,
    uint32_t end_index_in,
    std::vector<HandwritingDrawingSegmentPtr> drawing_segments_in)
    : grapheme(std::move(grapheme_in)),
      begin_index(std::move(begin_index_in)),
      end_index(std::move(end_index_in)),
      drawing_segments(std::move(drawing_segments_in)) {}

HandwritingSegment::~HandwritingSegment() = default;

void HandwritingSegment::WriteIntoTrace(
    perfetto::TracedValue traced_context) const {
  [[maybe_unused]] auto dict = std::move(traced_context).WriteDictionary();
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "grapheme"), this->grapheme,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type const std::string&>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "begin_index"), this->begin_index,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type uint32_t>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "end_index"), this->end_index,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type uint32_t>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "drawing_segments"), this->drawing_segments,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type std::vector<HandwritingDrawingSegmentPtr>>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
}

bool HandwritingSegment::Validate(
    const void* data,
    mojo::internal::ValidationContext* validation_context) {
  return Data_::Validate(data, validation_context);
}
HandwritingPrediction::HandwritingPrediction()
    : text(),
      segmentation_result() {}

HandwritingPrediction::HandwritingPrediction(
    const std::string& text_in,
    std::vector<HandwritingSegmentPtr> segmentation_result_in)
    : text(std::move(text_in)),
      segmentation_result(std::move(segmentation_result_in)) {}

HandwritingPrediction::~HandwritingPrediction() = default;

void HandwritingPrediction::WriteIntoTrace(
    perfetto::TracedValue traced_context) const {
  [[maybe_unused]] auto dict = std::move(traced_context).WriteDictionary();
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "text"), this->text,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type const std::string&>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "segmentation_result"), this->segmentation_result,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type std::vector<HandwritingSegmentPtr>>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
}

bool HandwritingPrediction::Validate(
    const void* data,
    mojo::internal::ValidationContext* validation_context) {
  return Data_::Validate(data, validation_context);
}
HandwritingHints::HandwritingHints()
    : recognition_type(),
      input_type(),
      deprecated_text_context(),
      alternatives(),
      text_context() {}

HandwritingHints::HandwritingHints(
    const std::string& recognition_type_in,
    const std::string& input_type_in,
    const std::string& deprecated_text_context_in,
    uint32_t alternatives_in)
    : recognition_type(std::move(recognition_type_in)),
      input_type(std::move(input_type_in)),
      deprecated_text_context(std::move(deprecated_text_context_in)),
      alternatives(std::move(alternatives_in)),
      text_context() {}

HandwritingHints::HandwritingHints(
    const std::string& recognition_type_in,
    const std::string& input_type_in,
    const std::string& deprecated_text_context_in,
    uint32_t alternatives_in,
    const absl::optional<std::string>& text_context_in)
    : recognition_type(std::move(recognition_type_in)),
      input_type(std::move(input_type_in)),
      deprecated_text_context(std::move(deprecated_text_context_in)),
      alternatives(std::move(alternatives_in)),
      text_context(std::move(text_context_in)) {}

HandwritingHints::~HandwritingHints() = default;

void HandwritingHints::WriteIntoTrace(
    perfetto::TracedValue traced_context) const {
  [[maybe_unused]] auto dict = std::move(traced_context).WriteDictionary();
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "recognition_type"), this->recognition_type,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type const std::string&>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "input_type"), this->input_type,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type const std::string&>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "deprecated_text_context"), this->deprecated_text_context,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type const std::string&>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "alternatives"), this->alternatives,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type uint32_t>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "text_context"), this->text_context,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type const absl::optional<std::string>&>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
}

bool HandwritingHints::Validate(
    const void* data,
    mojo::internal::ValidationContext* validation_context) {
  return Data_::Validate(data, validation_context);
}
HandwritingModelConstraint::HandwritingModelConstraint()
    : languages() {}

HandwritingModelConstraint::HandwritingModelConstraint(
    std::vector<std::string> languages_in)
    : languages(std::move(languages_in)) {}

HandwritingModelConstraint::~HandwritingModelConstraint() = default;

void HandwritingModelConstraint::WriteIntoTrace(
    perfetto::TracedValue traced_context) const {
  [[maybe_unused]] auto dict = std::move(traced_context).WriteDictionary();
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "languages"), this->languages,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type const std::vector<std::string>&>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
}

bool HandwritingModelConstraint::Validate(
    const void* data,
    mojo::internal::ValidationContext* validation_context) {
  return Data_::Validate(data, validation_context);
}
const char HandwritingRecognizer::Name_[] = "chromeos.machine_learning.web_platform.mojom.HandwritingRecognizer";

std::pair<uint32_t, const void*> HandwritingRecognizer::MessageToMethodInfo_(mojo::Message& message) {
  switch (message.name()) {
    case internal::kHandwritingRecognizer_GetPrediction_Name: {
      constexpr uint32_t value = base::MD5Hash32Constexpr(
              "(Impl)chromeos::machine_learning::web_platform::mojom::HandwritingRecognizer::GetPrediction");
#if BUILDFLAG(IS_FUCHSIA)
        return std::make_pair(value, nullptr);
#else
        return std::make_pair(value, reinterpret_cast<const void*>(&HandwritingRecognizer::GetPrediction_Sym::IPCSymbol));
#endif // BUILDFLAG(IS_FUCHSIA)
    }
  }
  return std::make_pair(0, nullptr);
}


const char* HandwritingRecognizer::MessageToMethodName_(mojo::Message& message) {
#if BUILDFLAG(MOJO_TRACE_ENABLED)
  bool is_response = message.has_flag(mojo::Message::kFlagIsResponse);
  if (!is_response) {
    switch (message.name()) {
      case internal::kHandwritingRecognizer_GetPrediction_Name:
            return "Receive chromeos::machine_learning::web_platform::mojom::HandwritingRecognizer::GetPrediction";
    }
  } else {
    switch (message.name()) {
      case internal::kHandwritingRecognizer_GetPrediction_Name:
            return "Receive reply chromeos::machine_learning::web_platform::mojom::HandwritingRecognizer::GetPrediction";
    }
  }
  return "Receive unknown mojo message";
#else
  bool is_response = message.has_flag(mojo::Message::kFlagIsResponse);
  if (is_response) {
    return "Receive mojo reply";
  } else {
    return "Receive mojo message";
  }
#endif // BUILDFLAG(MOJO_TRACE_ENABLED)
}

#if !BUILDFLAG(IS_FUCHSIA)
void HandwritingRecognizer::GetPrediction_Sym::IPCSymbol() {
  // This method's address is used for indetifiying the mojo method name after
  // symblozation. So each IPCSymbol should have a unique address.
  NO_CODE_FOLDING();
}
# endif // !BUILDFLAG(IS_FUCHSIA)

class HandwritingRecognizer_GetPrediction_ForwardToCallback
    : public mojo::MessageReceiver {
 public:
  HandwritingRecognizer_GetPrediction_ForwardToCallback(
      HandwritingRecognizer::GetPredictionCallback callback
      ) : callback_(std::move(callback)) {
  }

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

  bool Accept(mojo::Message* message) override;
 private:
  HandwritingRecognizer::GetPredictionCallback callback_;
};

HandwritingRecognizerProxy::HandwritingRecognizerProxy(mojo::MessageReceiverWithResponder* receiver)
    : receiver_(receiver) {
}

void HandwritingRecognizerProxy::GetPrediction(
    std::vector<HandwritingStrokePtr> in_strokes, HandwritingHintsPtr in_hints, GetPredictionCallback callback) {
#if BUILDFLAG(MOJO_TRACE_ENABLED)
  TRACE_EVENT1(
    "mojom", "Send chromeos::machine_learning::web_platform::mojom::HandwritingRecognizer::GetPrediction", "input_parameters",
    [&](perfetto::TracedValue context){
      auto dict = std::move(context).WriteDictionary();
      perfetto::WriteIntoTracedValueWithFallback(
           dict.AddItem("strokes"), in_strokes,
                        "<value of type std::vector<HandwritingStrokePtr>>");
      perfetto::WriteIntoTracedValueWithFallback(
           dict.AddItem("hints"), in_hints,
                        "<value of type HandwritingHintsPtr>");
   });
#endif
  const bool kExpectsResponse = true;
  const bool kIsSync = false;
  const bool kAllowInterrupt = true;
  
  const uint32_t kFlags =
      ((kExpectsResponse) ? mojo::Message::kFlagExpectsResponse : 0) |
      ((kIsSync) ? mojo::Message::kFlagIsSync : 0) |
      ((kAllowInterrupt) ? 0 : mojo::Message::kFlagNoInterrupt);
  
  mojo::Message message(
      internal::kHandwritingRecognizer_GetPrediction_Name, kFlags, 0, 0, nullptr);
  mojo::internal::MessageFragment<
      ::chromeos::machine_learning::web_platform::mojom::internal::HandwritingRecognizer_GetPrediction_Params_Data> params(
          message);
  params.Allocate();
  mojo::internal::MessageFragment<
      typename decltype(params->strokes)::BaseType>
      strokes_fragment(params.message());
  const mojo::internal::ContainerValidateParams strokes_validate_params(
      0, false, nullptr);
  mojo::internal::Serialize<mojo::ArrayDataView<::chromeos::machine_learning::web_platform::mojom::HandwritingStrokeDataView>>(
      in_strokes, strokes_fragment, &strokes_validate_params);
  params->strokes.Set(
      strokes_fragment.is_null() ? nullptr : strokes_fragment.data());
  MOJO_INTERNAL_DLOG_SERIALIZATION_WARNING(
      params->strokes.is_null(),
      mojo::internal::VALIDATION_ERROR_UNEXPECTED_NULL_POINTER,
      "null strokes in HandwritingRecognizer.GetPrediction request");
  mojo::internal::MessageFragment<
      typename decltype(params->hints)::BaseType> hints_fragment(
          params.message());
  mojo::internal::Serialize<::chromeos::machine_learning::web_platform::mojom::HandwritingHintsDataView>(
      in_hints, hints_fragment);
  params->hints.Set(
      hints_fragment.is_null() ? nullptr : hints_fragment.data());
  MOJO_INTERNAL_DLOG_SERIALIZATION_WARNING(
      params->hints.is_null(),
      mojo::internal::VALIDATION_ERROR_UNEXPECTED_NULL_POINTER,
      "null hints in HandwritingRecognizer.GetPrediction request");

#if defined(ENABLE_IPC_FUZZER)
  message.set_interface_name(HandwritingRecognizer::Name_);
  message.set_method_name("GetPrediction");
#endif
  std::unique_ptr<mojo::MessageReceiver> responder(
      new HandwritingRecognizer_GetPrediction_ForwardToCallback(
          std::move(callback)));
  ::mojo::internal::SendMessage(*receiver_, message, std::move(responder));
}
class HandwritingRecognizer_GetPrediction_ProxyToResponder : public ::mojo::internal::ProxyToResponder {
 public:
  static HandwritingRecognizer::GetPredictionCallback CreateCallback(
      ::mojo::Message& message,
      std::unique_ptr<mojo::MessageReceiverWithStatus> responder) {
    std::unique_ptr<HandwritingRecognizer_GetPrediction_ProxyToResponder> proxy(
        new HandwritingRecognizer_GetPrediction_ProxyToResponder(
            message, std::move(responder)));
    return base::BindOnce(&HandwritingRecognizer_GetPrediction_ProxyToResponder::Run,
                          std::move(proxy));
  }

  ~HandwritingRecognizer_GetPrediction_ProxyToResponder() {
#if DCHECK_IS_ON()
    if (responder_) {
      // If we're being destroyed without being run, we want to ensure the
      // binding endpoint has been closed. This checks for that asynchronously.
      // We pass a bound generated callback to handle the response so that any
      // resulting DCHECK stack will have useful interface type information.
      responder_->IsConnectedAsync(base::BindOnce(&OnIsConnectedComplete));
    }
#endif
  }

 private:
  HandwritingRecognizer_GetPrediction_ProxyToResponder(
      ::mojo::Message& message,
      std::unique_ptr<mojo::MessageReceiverWithStatus> responder)
      : ::mojo::internal::ProxyToResponder(message, std::move(responder)) {
  }

#if DCHECK_IS_ON()
  static void OnIsConnectedComplete(bool connected) {
    DCHECK(!connected)
        << "HandwritingRecognizer::GetPredictionCallback was destroyed without "
        << "first either being run or its corresponding binding being closed. "
        << "It is an error to drop response callbacks which still correspond "
        << "to an open interface pipe.";
  }
#endif

  void Run(
      absl::optional<std::vector<HandwritingPredictionPtr>> in_prediction);
};

bool HandwritingRecognizer_GetPrediction_ForwardToCallback::Accept(
    mojo::Message* message) {

  DCHECK(message->is_serialized());
  internal::HandwritingRecognizer_GetPrediction_ResponseParams_Data* params =
      reinterpret_cast<
          internal::HandwritingRecognizer_GetPrediction_ResponseParams_Data*>(
              message->mutable_payload());
  
  bool success = true;
  absl::optional<std::vector<HandwritingPredictionPtr>> p_prediction{};
  HandwritingRecognizer_GetPrediction_ResponseParamsDataView input_data_view(params, message);
  
  if (success && !input_data_view.ReadPrediction(&p_prediction))
    success = false;
  if (!success) {
    ReportValidationErrorForMessage(
        message,
        mojo::internal::VALIDATION_ERROR_DESERIALIZATION_FAILED,
        HandwritingRecognizer::Name_, 0, true);
    return false;
  }
  if (!callback_.is_null())
    std::move(callback_).Run(
std::move(p_prediction));
  return true;
}

void HandwritingRecognizer_GetPrediction_ProxyToResponder::Run(
    absl::optional<std::vector<HandwritingPredictionPtr>> in_prediction) {
#if BUILDFLAG(MOJO_TRACE_ENABLED)
  TRACE_EVENT1(
    "mojom", "Send reply chromeos::machine_learning::web_platform::mojom::HandwritingRecognizer::GetPrediction", "async_response_parameters",
    [&](perfetto::TracedValue context){
      auto dict = std::move(context).WriteDictionary();
      perfetto::WriteIntoTracedValueWithFallback(
           dict.AddItem("prediction"), in_prediction,
                        "<value of type absl::optional<std::vector<HandwritingPredictionPtr>>>");
   });
#endif
  
  const uint32_t kFlags = mojo::Message::kFlagIsResponse |
      ((is_sync_) ? mojo::Message::kFlagIsSync : 0) |
      ((true) ? 0 : mojo::Message::kFlagNoInterrupt);
  
  mojo::Message message(
      internal::kHandwritingRecognizer_GetPrediction_Name, kFlags, 0, 0, nullptr);
  mojo::internal::MessageFragment<
      ::chromeos::machine_learning::web_platform::mojom::internal::HandwritingRecognizer_GetPrediction_ResponseParams_Data> params(
          message);
  params.Allocate();
  mojo::internal::MessageFragment<
      typename decltype(params->prediction)::BaseType>
      prediction_fragment(params.message());
  const mojo::internal::ContainerValidateParams prediction_validate_params(
      0, false, nullptr);
  mojo::internal::Serialize<mojo::ArrayDataView<::chromeos::machine_learning::web_platform::mojom::HandwritingPredictionDataView>>(
      in_prediction, prediction_fragment, &prediction_validate_params);
  params->prediction.Set(
      prediction_fragment.is_null() ? nullptr : prediction_fragment.data());

#if defined(ENABLE_IPC_FUZZER)
  message.set_interface_name(HandwritingRecognizer::Name_);
  message.set_method_name("GetPrediction");
#endif

  message.set_request_id(request_id_);
  message.set_trace_nonce(trace_nonce_);
  ::mojo::internal::SendMessage(*responder_, message);
  // SendMessage fails silently if the responder connection is closed,
  // or if the message is malformed.
  //
  // TODO(darin): If Accept() returns false due to a malformed message, that
  // may be good reason to close the connection. However, we don't have a
  // way to do that from here. We should add a way.
  responder_ = nullptr;
}

// static
bool HandwritingRecognizerStubDispatch::Accept(
    HandwritingRecognizer* impl,
    mojo::Message* message) {
  switch (message->header()->name) {
    case internal::kHandwritingRecognizer_GetPrediction_Name: {
      break;
    }
  }
  return false;
}

// static
bool HandwritingRecognizerStubDispatch::AcceptWithResponder(
    HandwritingRecognizer* impl,
    mojo::Message* message,
    std::unique_ptr<mojo::MessageReceiverWithStatus> responder) {
  [[maybe_unused]] const bool message_is_sync =
      message->has_flag(mojo::Message::kFlagIsSync);
  [[maybe_unused]] const uint64_t request_id = message->request_id();
  switch (message->header()->name) {
    case internal::kHandwritingRecognizer_GetPrediction_Name: {

      internal::HandwritingRecognizer_GetPrediction_Params_Data* params =
          reinterpret_cast<
              internal::HandwritingRecognizer_GetPrediction_Params_Data*>(
                  message->mutable_payload());
      
      bool success = true;
      std::vector<HandwritingStrokePtr> p_strokes{};
      HandwritingHintsPtr p_hints{};
      HandwritingRecognizer_GetPrediction_ParamsDataView input_data_view(params, message);
      
      if (success && !input_data_view.ReadStrokes(&p_strokes))
        success = false;
      if (success && !input_data_view.ReadHints(&p_hints))
        success = false;
      if (!success) {
        ReportValidationErrorForMessage(
            message,
            mojo::internal::VALIDATION_ERROR_DESERIALIZATION_FAILED,
            HandwritingRecognizer::Name_, 0, false);
        return false;
      }
      HandwritingRecognizer::GetPredictionCallback callback =
          HandwritingRecognizer_GetPrediction_ProxyToResponder::CreateCallback(
              *message, std::move(responder));
      // A null |impl| means no implementation was bound.
      DCHECK(impl);
      impl->GetPrediction(
std::move(p_strokes), 
std::move(p_hints), std::move(callback));
      return true;
    }
  }
  return false;
}


static const mojo::internal::GenericValidationInfo kHandwritingRecognizerValidationInfo[] = {
    {&internal::HandwritingRecognizer_GetPrediction_Params_Data::Validate,
     &internal::HandwritingRecognizer_GetPrediction_ResponseParams_Data::Validate},
};

bool HandwritingRecognizerRequestValidator::Accept(mojo::Message* message) {
  const char* name = ::chromeos::machine_learning::web_platform::mojom::HandwritingRecognizer::Name_;
  return mojo::internal::ValidateRequestGenericPacked(message, name, kHandwritingRecognizerValidationInfo);
}

bool HandwritingRecognizerResponseValidator::Accept(mojo::Message* message) {
  const char* name = ::chromeos::machine_learning::web_platform::mojom::HandwritingRecognizer::Name_;
  return mojo::internal::ValidateResponseGenericPacked(message, name, kHandwritingRecognizerValidationInfo);
}


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


namespace mojo {


// static
bool StructTraits<::chromeos::machine_learning::web_platform::mojom::HandwritingPoint::DataView, ::chromeos::machine_learning::web_platform::mojom::HandwritingPointPtr>::Read(
    ::chromeos::machine_learning::web_platform::mojom::HandwritingPoint::DataView input,
    ::chromeos::machine_learning::web_platform::mojom::HandwritingPointPtr* output) {
  bool success = true;
  ::chromeos::machine_learning::web_platform::mojom::HandwritingPointPtr result(::chromeos::machine_learning::web_platform::mojom::HandwritingPoint::New());
  
      if (success && !input.ReadLocation(&result->location))
        success = false;
      if (success && !input.ReadT(&result->t))
        success = false;
  *output = std::move(result);
  return success;
}


// static
bool StructTraits<::chromeos::machine_learning::web_platform::mojom::HandwritingStroke::DataView, ::chromeos::machine_learning::web_platform::mojom::HandwritingStrokePtr>::Read(
    ::chromeos::machine_learning::web_platform::mojom::HandwritingStroke::DataView input,
    ::chromeos::machine_learning::web_platform::mojom::HandwritingStrokePtr* output) {
  bool success = true;
  ::chromeos::machine_learning::web_platform::mojom::HandwritingStrokePtr result(::chromeos::machine_learning::web_platform::mojom::HandwritingStroke::New());
  
      if (success && !input.ReadPoints(&result->points))
        success = false;
  *output = std::move(result);
  return success;
}


// static
bool StructTraits<::chromeos::machine_learning::web_platform::mojom::HandwritingDrawingSegment::DataView, ::chromeos::machine_learning::web_platform::mojom::HandwritingDrawingSegmentPtr>::Read(
    ::chromeos::machine_learning::web_platform::mojom::HandwritingDrawingSegment::DataView input,
    ::chromeos::machine_learning::web_platform::mojom::HandwritingDrawingSegmentPtr* output) {
  bool success = true;
  ::chromeos::machine_learning::web_platform::mojom::HandwritingDrawingSegmentPtr result(::chromeos::machine_learning::web_platform::mojom::HandwritingDrawingSegment::New());
  
      if (success)
        result->stroke_index = input.stroke_index();
      if (success)
        result->begin_point_index = input.begin_point_index();
      if (success)
        result->end_point_index = input.end_point_index();
  *output = std::move(result);
  return success;
}


// static
bool StructTraits<::chromeos::machine_learning::web_platform::mojom::HandwritingSegment::DataView, ::chromeos::machine_learning::web_platform::mojom::HandwritingSegmentPtr>::Read(
    ::chromeos::machine_learning::web_platform::mojom::HandwritingSegment::DataView input,
    ::chromeos::machine_learning::web_platform::mojom::HandwritingSegmentPtr* output) {
  bool success = true;
  ::chromeos::machine_learning::web_platform::mojom::HandwritingSegmentPtr result(::chromeos::machine_learning::web_platform::mojom::HandwritingSegment::New());
  
      if (success && !input.ReadGrapheme(&result->grapheme))
        success = false;
      if (success)
        result->begin_index = input.begin_index();
      if (success)
        result->end_index = input.end_index();
      if (success && !input.ReadDrawingSegments(&result->drawing_segments))
        success = false;
  *output = std::move(result);
  return success;
}


// static
bool StructTraits<::chromeos::machine_learning::web_platform::mojom::HandwritingPrediction::DataView, ::chromeos::machine_learning::web_platform::mojom::HandwritingPredictionPtr>::Read(
    ::chromeos::machine_learning::web_platform::mojom::HandwritingPrediction::DataView input,
    ::chromeos::machine_learning::web_platform::mojom::HandwritingPredictionPtr* output) {
  bool success = true;
  ::chromeos::machine_learning::web_platform::mojom::HandwritingPredictionPtr result(::chromeos::machine_learning::web_platform::mojom::HandwritingPrediction::New());
  
      if (success && !input.ReadText(&result->text))
        success = false;
      if (success && !input.ReadSegmentationResult(&result->segmentation_result))
        success = false;
  *output = std::move(result);
  return success;
}


// static
bool StructTraits<::chromeos::machine_learning::web_platform::mojom::HandwritingHints::DataView, ::chromeos::machine_learning::web_platform::mojom::HandwritingHintsPtr>::Read(
    ::chromeos::machine_learning::web_platform::mojom::HandwritingHints::DataView input,
    ::chromeos::machine_learning::web_platform::mojom::HandwritingHintsPtr* output) {
  bool success = true;
  ::chromeos::machine_learning::web_platform::mojom::HandwritingHintsPtr result(::chromeos::machine_learning::web_platform::mojom::HandwritingHints::New());
  
      if (success && !input.ReadRecognitionType(&result->recognition_type))
        success = false;
      if (success && !input.ReadInputType(&result->input_type))
        success = false;
      if (success && !input.ReadDeprecatedTextContext(&result->deprecated_text_context))
        success = false;
      if (success)
        result->alternatives = input.alternatives();
      if (success && !input.ReadTextContext(&result->text_context))
        success = false;
  *output = std::move(result);
  return success;
}


// static
bool StructTraits<::chromeos::machine_learning::web_platform::mojom::HandwritingModelConstraint::DataView, ::chromeos::machine_learning::web_platform::mojom::HandwritingModelConstraintPtr>::Read(
    ::chromeos::machine_learning::web_platform::mojom::HandwritingModelConstraint::DataView input,
    ::chromeos::machine_learning::web_platform::mojom::HandwritingModelConstraintPtr* output) {
  bool success = true;
  ::chromeos::machine_learning::web_platform::mojom::HandwritingModelConstraintPtr result(::chromeos::machine_learning::web_platform::mojom::HandwritingModelConstraint::New());
  
      if (success && !input.ReadLanguages(&result->languages))
        success = false;
  *output = std::move(result);
  return success;
}

}  // namespace mojo


// Symbols declared in the -test-utils.h header are defined here instead of a
// separate .cc file to save compile time.


namespace chromeos {
namespace machine_learning {
namespace web_platform {
namespace mojom {


void HandwritingRecognizerInterceptorForTesting::GetPrediction(std::vector<HandwritingStrokePtr> strokes, HandwritingHintsPtr hints, GetPredictionCallback callback) {
  GetForwardingInterface()->GetPrediction(std::move(strokes), std::move(hints), std::move(callback));
}
HandwritingRecognizerAsyncWaiter::HandwritingRecognizerAsyncWaiter(
    HandwritingRecognizer* proxy) : proxy_(proxy) {}

HandwritingRecognizerAsyncWaiter::~HandwritingRecognizerAsyncWaiter() = default;

void HandwritingRecognizerAsyncWaiter::GetPrediction(
    std::vector<HandwritingStrokePtr> strokes, HandwritingHintsPtr hints, absl::optional<std::vector<HandwritingPredictionPtr>>* out_prediction) {
  base::RunLoop loop;
  proxy_->GetPrediction(std::move(strokes),std::move(hints),
      base::BindOnce(
          [](base::RunLoop* loop,
             absl::optional<std::vector<HandwritingPredictionPtr>>* out_prediction
,
             absl::optional<std::vector<HandwritingPredictionPtr>> prediction) {*out_prediction = std::move(prediction);
            loop->Quit();
          },
          &loop,
          out_prediction));
  loop.Run();
}





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


#if defined(__clang__)
#pragma clang diagnostic pop
#endif