/*
 * Java Genetic Algorithm Library (jenetics-8.0.0).
 * Copyright (c) 2007-2024 Franz Wilhelmstötter
 *
 * 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.
 *
 * Author:
 *    Franz Wilhelmstötter (franz.wilhelmstoetter@gmail.com)
 */
package io.jenetics.stat;

import static java.util.Objects.requireNonNull;

import java.util.function.IntConsumer;
import java.util.function.LongConsumer;
import java.util.function.ToLongFunction;
import java.util.stream.Collector;

/**
 * A state object for collecting statistics such as count, min, max, sum, mean,
 * variance, skewness and kurtosis. The design of this class is similar to the
 * design of the {@link java.util.LongSummaryStatistics} class.
 * <p>
 * This class is designed to work with (though does not require) streams. For
 * example, you can compute moments-statistics on a stream of longs with:
 * {@snippet lang="java":
 * final LongStream stream = null; // @replace substring='null' replacement="..."
 * final LongMomentStatistics statistics = stream.collect(
 *         LongMomentStatistics::new,
 *         LongMomentStatistics::accept,
 *         LongMomentStatistics::combine
 *     );
 * }
 *
 * For a non-long stream, you can use a collector:
 * {@snippet lang="java":
 * final Stream<SomeObject> stream = null; // @replace substring='null' replacement="..."
 * final LongMomentStatistics statistics = stream
 *     .collect(toLongMomentStatistics(v -> v.longValue()));
 * }
 *
 * @implNote
 * This implementation is not thread safe. However, it is safe to use
 * {@link #toLongMomentStatistics(ToLongFunction)}  on a parallel stream, because the parallel
 * implementation of {@link java.util.stream.Stream#collect Stream.collect()}
 * provides the necessary partitioning, isolation, and merging of results for
 * safe and efficient parallel execution.
 *
 * @see java.util.LongSummaryStatistics
 * @see io.jenetics.stat.LongMoments
 * @see <a href="http://people.xiph.org/~tterribe/notes/homs.html">
 *      Computing Higher-Order Moments Online</a>
 *
 * @author <a href="mailto:franz.wilhelmstoetter@gmail.com">Franz Wilhelmstötter</a>
 * @since 3.0
 * @version 6.0
 */
public class LongMomentStatistics
        extends MomentStatistics
        implements LongConsumer, IntConsumer
{

        private long _min = Long.MAX_VALUE;
        private long _max = Long.MIN_VALUE;
        private long _sum = 0L;

        /**
         * Create an empty moments object.
         */
        public LongMomentStatistics() {
        }

        /**
         * Records a new value into the moment information
         *
         * @param value the input {@code value}
         */
        @Override
        public void accept(final long value) {
                super.accept(value);
                _min = Math.min(_min, value);
                _max = Math.max(_max, value);
                _sum += value;
        }

        /**
         * Records a new value into the moment information
         *
         * @param value the input {@code value}
         */
        @Override
        public void accept(final int value) {
                accept((long)value);
        }

        /**
         * Combine two {@code LongMoments} statistic objects.
         *
         * @param other the other {@code LongMoments} statistics to combine with
         *        {@code this} one.
         * @return {@code this} statistics object
         * @throws java.lang.NullPointerException if the other statistical summary
         *         is {@code null}.
         */
        public LongMomentStatistics combine(final LongMomentStatistics other) {
                super.combine(other);
                _min = Math.min(_min, other._min);
                _max = Math.max(_max, other._max);
                _sum += other._sum;

                return this;
        }

        /**
         * Return the minimum value recorded, or {@code Long.MAX_VALUE} if no
         * values have been recorded.
         *
         * @return the minimum value, or {@code Long.MAX_VALUE} if none
         */
        public long min() {
                return _min;
        }

        /**
         * Return the maximum value recorded, or {@code Long.MIN_VALUE} if no
         * values have been recorded.
         *
         * @return the maximum value, or {@code Long.MIN_VALUE} if none
         */
        public long max() {
                return _max;
        }

        /**
         * Return the sum of values recorded, or zero if no values have been
         * recorded.
         *
         * @return the sum of values, or zero if none
         */
        public long sum() {
                return _sum;
        }

        /**
         * Compares the state of two {@code LongMomentStatistics} objects. This is
         * a replacement for the {@link #equals(Object)} which is not advisable to
         * implement for this mutable object. If two objects have the same state, it
         * has still the same state when updated with the same value.
         * {@snippet lang="java":
         * final LongMomentStatistics lms1 = null; // @replace substring='null' replacement="..."
         * final LongMomentStatistics lms2 = null; // @replace substring='null' replacement="..."
         *
         * if (lms1.sameState(lms2)) {
         *     final long value = random.nextInt(1_000_000);
         *     lms1.accept(value);
         *     lms2.accept(value);
         *
         *     assert lms1.sameState(lms2);
         *     assert lms2.sameState(lms1);
         *     assert lms1.sameState(lms1);
         * }
         * }
         *
         * @since 3.7
         *
         * @param other the other object for the test
         * @return {@code true} the {@code this} and the {@code other} objects have
         *         the same state, {@code false} otherwise
         */
        public boolean sameState(final LongMomentStatistics other) {
                return this == other ||
                        _min == other._min &&
                        _max == other._max &&
                        _sum == other._sum &&
                        super.sameState(other);
        }

        /**
         * Return a {@code LongMoments} object from the current statistics,
         *
         * @since 3.9
         *
         * @return a {@code LongMoments} object from the current statistics
         */
        public LongMoments toLongMoments() {
                return LongMoments.of(this);
        }

        @Override
        public String toString() {
                return String.format(
                        "LongMomentStatistics[N=%d, ∧=%s, ∨=%s, Σ=%s, μ=%s, s²=%s, S=%s, K=%s]",
                        count(), min(), max(), sum(),
                        mean(), variance(), skewness(), kurtosis()
                );
        }

        /**
         * Return a {@code Collector} which applies a long-producing mapping
         * function to each input element, and returns moments-statistics for the
         * resulting values.
         *
         * {@snippet lang="java":
         * final Stream<SomeObject> stream = null; // @replace substring='null' replacement="..."
         * final LongMomentStatistics statistics = stream
         *     .collect(toLongMomentStatistics(v -> v.longValue()));
         * }
         *
         * @param mapper a mapping function to apply to each element
         * @param <T> the type of the input elements
         * @return a {@code Collector} implementing the moments-statistics reduction
         * @throws java.lang.NullPointerException if the given {@code mapper} is
         *         {@code null}
         */
        public static <T> Collector<T, ?, LongMomentStatistics>
        toLongMomentStatistics(final ToLongFunction<? super T> mapper) {
                requireNonNull(mapper);
                return Collector.of(
                        LongMomentStatistics::new,
                        (r, t) -> r.accept(mapper.applyAsLong(t)),
                        LongMomentStatistics::combine
                );
        }

}