/*******************************************************************************
* Copyright 2017-2018 Intel Corporation
*
* 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.
*******************************************************************************/

#pragma once

#include <functional>
#include <random>

#include "ngraph/types/element_type.hpp"
#include "test_tools.hpp"

namespace ngraph
{
    namespace test
    {
        /// @brief A predictable pseudo-random number generator
        /// The seed is initialized so that we get repeatable pseudo-random numbers for tests
        template <typename T>
        class Uniform
        {
        public:
            Uniform(T min, T max, T seed = 0)
                : m_engine(seed)
                , m_distribution(min, max)
                , m_r(std::bind(m_distribution, m_engine))
            {
            }

            /// @brief Randomly initialize a tensor
            /// @param ptv The tensor to initialize
            const std::shared_ptr<runtime::TensorView>
                initialize(const std::shared_ptr<runtime::TensorView>& ptv)
            {
                std::vector<T> vec = read_vector<T>(ptv);
                for (T& elt : vec)
                {
                    elt = m_r();
                }
                write_vector(ptv, vec);
                return ptv;
            }

        protected:
            std::default_random_engine m_engine;
            std::uniform_real_distribution<T> m_distribution;
            std::function<T()> m_r;
        };
    }
}
