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- /*
- * MIT License
- *
- * Copyright (c) 2019 Alexey Edelev <semlanik@gmail.com>
- *
- * This file is part of NeuralNetwork project https://git.semlanik.org/semlanik/NeuralNetwork
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy of this
- * software and associated documentation files (the "Software"), to deal in the Software
- * without restriction, including without limitation the rights to use, copy, modify,
- * merge, publish, distribute, sublicense, and/or sell copies of the Software, and
- * to permit persons to whom the Software is furnished to do so, subject to the following
- * conditions:
- *
- * The above copyright notice and this permission notice shall be included in all copies
- * or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
- * INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
- * PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE
- * FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
- * OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
- * DEALINGS IN THE SOFTWARE.
- */
- #pragma once
- #include <QObject>
- #include "abstractdense.h"
- #include "dense.h"
- class ValueIndicatorDense;
- class ValueIndicator : public QObject
- {
- Q_OBJECT
- Q_PROPERTY(qreal value READ value WRITE setValue NOTIFY valueChanged)
- public:
- ValueIndicator();
- qreal value() const;
- public slots:
- void setValue(qreal value)
- {
- if (qFuzzyCompare(m_value, value))
- return;
- m_value = value;
- emit valueChanged(m_value);
- }
- signals:
- void valueChanged(qreal value);
- private:
- qreal m_value;
- };
- class ValueIndicatorDense : public AbstractDense<QList<ValueIndicator*>> {
- public:
- ValueIndicatorDense() = default;
- virtual ~ValueIndicatorDense();
- ValueIndicatorDense(int rows, int columns, const QList<ValueIndicator*>& data);
- void updateValues(const Dense& dense);
- double min() const {
- return m_min;
- }
- double max() const {
- return m_max;
- }
- private:
- double m_max;
- double m_min;
- };
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