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// Copyright 2022 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "ink_stroke_modeler/internal/prediction/stroke_end_predictor.h"
#include <iterator>
#include <vector>
#include "absl/types/optional.h"
#include "ink_stroke_modeler/internal/internal_types.h"
#include "ink_stroke_modeler/internal/position_modeler.h"
#include "ink_stroke_modeler/types.h"
namespace ink {
namespace stroke_model {
void StrokeEndPredictor::Update(Vec2 position, Time time) {
last_position_ = position;
}
std::vector<TipState> StrokeEndPredictor::ConstructPrediction(
const TipState &last_state) const {
if (!last_position_) {
// We don't yet have enough data to construct a prediction.
return {};
}
std::vector<TipState> prediction;
prediction.reserve(sampling_params_.end_of_stroke_max_iterations);
PositionModeler modeler;
modeler.Reset(last_state, position_modeler_params_);
modeler.ModelEndOfStroke(*last_position_,
Duration(1. / sampling_params_.min_output_rate),
sampling_params_.end_of_stroke_max_iterations,
sampling_params_.end_of_stroke_stopping_distance,
std::back_inserter(prediction));
return prediction;
}
} // namespace stroke_model
} // namespace ink
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