#    This file is part of DEAP.
#
#    Copyright (C) 2010 Simon Wessing
#    TU Dortmund University
#
#    In personal communication, the original authors authorized DEAP team
#    to use this file under the Lesser General Public License.
#
#    You can find the original library here :
#    http://ls11-www.cs.uni-dortmund.de/_media/rudolph/hypervolume/hv_python.zip
#
#    DEAP is free software: you can redistribute it and/or modify
#    it under the terms of the GNU Lesser General Public License as
#    published by the Free Software Foundation, either version 3 of
#    the License, or (at your option) any later version.
#
#    DEAP is distributed in the hope that it will be useful,
#    but WITHOUT ANY WARRANTY; without even the implied warranty of
#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
#    GNU Lesser General Public License for more details.
#
#    You should have received a copy of the GNU Lesser General Public
#    License along with DEAP. If not, see <http://www.gnu.org/licenses/>.

import warnings

import numpy


def hypervolume(pointset, ref):
    """Compute the absolute hypervolume of a *pointset* according to the
    reference point *ref*.
    """
    warnings.warn("Falling back to the python version of hypervolume "
                  "module. Expect this to be very slow.", RuntimeWarning)
    hv = _HyperVolume(ref)
    return hv.compute(pointset)


class _HyperVolume:
    """
    Hypervolume computation based on variant 3 of the algorithm in the paper:
    C. M. Fonseca, L. Paquete, and M. Lopez-Ibanez. An improved dimension-sweep
    algorithm for the hypervolume indicator. In IEEE Congress on Evolutionary
    Computation, pages 1157-1163, Vancouver, Canada, July 2006.

    Minimization is implicitly assumed here!

    """

    def __init__(self, referencePoint):
        """Constructor."""
        self.referencePoint = referencePoint
        self.list = []

    def compute(self, front):
        """Returns the hypervolume that is dominated by a non-dominated front.

        Before the HV computation, front and reference point are translated, so
        that the reference point is [0, ..., 0].

        """

        def weaklyDominates(point, other):
            for i in range(len(point)):
                if point[i] > other[i]:
                    return False
            return True

        relevantPoints = []
        referencePoint = self.referencePoint
        dimensions = len(referencePoint)
        #######
        # fmder: Here it is assumed that every point dominates the reference point
        # for point in front:
        #     # only consider points that dominate the reference point
        #     if weaklyDominates(point, referencePoint):
        #         relevantPoints.append(point)
        relevantPoints = front
        # fmder
        #######
        if any(referencePoint):
            # shift points so that referencePoint == [0, ..., 0]
            # this way the reference point doesn't have to be explicitly used
            # in the HV computation

            #######
            # fmder: Assume relevantPoints are numpy array
            # for j in xrange(len(relevantPoints)):
            #     relevantPoints[j] = [relevantPoints[j][i] - referencePoint[i] for i in xrange(dimensions)]
            relevantPoints -= referencePoint
            # fmder
            #######

        self.preProcess(relevantPoints)
        bounds = [-1.0e308] * dimensions
        hyperVolume = self.hvRecursive(dimensions - 1, len(relevantPoints), bounds)
        return hyperVolume

    def hvRecursive(self, dimIndex, length, bounds):
        """Recursive call to hypervolume calculation.

        In contrast to the paper, the code assumes that the reference point
        is [0, ..., 0]. This allows the avoidance of a few operations.

        """
        hvol = 0.0
        sentinel = self.list.sentinel
        if length == 0:
            return hvol
        elif dimIndex == 0:
            # special case: only one dimension
            # why using hypervolume at all?
            return -sentinel.next[0].cargo[0]
        elif dimIndex == 1:
            # special case: two dimensions, end recursion
            q = sentinel.next[1]
            h = q.cargo[0]
            p = q.next[1]
            while p is not sentinel:
                pCargo = p.cargo
                hvol += h * (q.cargo[1] - pCargo[1])
                if pCargo[0] < h:
                    h = pCargo[0]
                q = p
                p = q.next[1]
            hvol += h * q.cargo[1]
            return hvol
        else:
            remove = self.list.remove
            reinsert = self.list.reinsert
            hvRecursive = self.hvRecursive
            p = sentinel
            q = p.prev[dimIndex]
            while q.cargo is not None:
                if q.ignore < dimIndex:
                    q.ignore = 0
                q = q.prev[dimIndex]
            q = p.prev[dimIndex]
            while length > 1 and (q.cargo[dimIndex] > bounds[dimIndex] or q.prev[dimIndex].cargo[dimIndex] >= bounds[dimIndex]):
                p = q
                remove(p, dimIndex, bounds)
                q = p.prev[dimIndex]
                length -= 1
            qArea = q.area
            qCargo = q.cargo
            qPrevDimIndex = q.prev[dimIndex]
            if length > 1:
                hvol = qPrevDimIndex.volume[dimIndex] + qPrevDimIndex.area[dimIndex] * (qCargo[dimIndex] - qPrevDimIndex.cargo[dimIndex])
            else:
                qArea[0] = 1
                qArea[1:dimIndex+1] = [qArea[i] * -qCargo[i] for i in range(dimIndex)]
            q.volume[dimIndex] = hvol
            if q.ignore >= dimIndex:
                qArea[dimIndex] = qPrevDimIndex.area[dimIndex]
            else:
                qArea[dimIndex] = hvRecursive(dimIndex - 1, length, bounds)
                if qArea[dimIndex] <= qPrevDimIndex.area[dimIndex]:
                    q.ignore = dimIndex
            while p is not sentinel:
                pCargoDimIndex = p.cargo[dimIndex]
                hvol += q.area[dimIndex] * (pCargoDimIndex - q.cargo[dimIndex])
                bounds[dimIndex] = pCargoDimIndex
                reinsert(p, dimIndex, bounds)
                length += 1
                q = p
                p = p.next[dimIndex]
                q.volume[dimIndex] = hvol
                if q.ignore >= dimIndex:
                    q.area[dimIndex] = q.prev[dimIndex].area[dimIndex]
                else:
                    q.area[dimIndex] = hvRecursive(dimIndex - 1, length, bounds)
                    if q.area[dimIndex] <= q.prev[dimIndex].area[dimIndex]:
                        q.ignore = dimIndex
            hvol -= q.area[dimIndex] * q.cargo[dimIndex]
            return hvol

    def preProcess(self, front):
        """Sets up the list data structure needed for calculation."""
        dimensions = len(self.referencePoint)
        nodeList = _MultiList(dimensions)
        nodes = [_MultiList.Node(dimensions, point) for point in front]
        for i in range(dimensions):
            self.sortByDimension(nodes, i)
            nodeList.extend(nodes, i)
        self.list = nodeList

    def sortByDimension(self, nodes, i):
        """Sorts the list of nodes by the i-th value of the contained points."""
        # build a list of tuples of (point[i], node)
        decorated = [(node.cargo[i], node) for node in nodes]
        # sort by this value
        decorated.sort()
        # write back to original list
        nodes[:] = [node for (_, node) in decorated]


class _MultiList:
    """A special data structure needed by FonsecaHyperVolume.

    It consists of several doubly linked lists that share common nodes. So,
    every node has multiple predecessors and successors, one in every list.

    """

    class Node:

        def __init__(self, numberLists, cargo=None):
            self.cargo = cargo
            self.next = [None] * numberLists
            self.prev = [None] * numberLists
            self.ignore = 0
            self.area = [0.0] * numberLists
            self.volume = [0.0] * numberLists

        def __str__(self):
            return str(self.cargo)

        def __lt__(self, other):
            return all(self.cargo < other.cargo)

    def __init__(self, numberLists):
        """Constructor.

        Builds 'numberLists' doubly linked lists.

        """
        self.numberLists = numberLists
        self.sentinel = _MultiList.Node(numberLists)
        self.sentinel.next = [self.sentinel] * numberLists
        self.sentinel.prev = [self.sentinel] * numberLists

    def __str__(self):
        strings = []
        for i in range(self.numberLists):
            currentList = []
            node = self.sentinel.next[i]
            while node != self.sentinel:
                currentList.append(str(node))
                node = node.next[i]
            strings.append(str(currentList))
        stringRepr = ""
        for string in strings:
            stringRepr += string + "\n"
        return stringRepr

    def __len__(self):
        """Returns the number of lists that are included in this _MultiList."""
        return self.numberLists

    def getLength(self, i):
        """Returns the length of the i-th list."""
        length = 0
        sentinel = self.sentinel
        node = sentinel.next[i]
        while node != sentinel:
            length += 1
            node = node.next[i]
        return length

    def append(self, node, index):
        """Appends a node to the end of the list at the given index."""
        lastButOne = self.sentinel.prev[index]
        node.next[index] = self.sentinel
        node.prev[index] = lastButOne
        # set the last element as the new one
        self.sentinel.prev[index] = node
        lastButOne.next[index] = node

    def extend(self, nodes, index):
        """Extends the list at the given index with the nodes."""
        sentinel = self.sentinel
        for node in nodes:
            lastButOne = sentinel.prev[index]
            node.next[index] = sentinel
            node.prev[index] = lastButOne
            # set the last element as the new one
            sentinel.prev[index] = node
            lastButOne.next[index] = node

    def remove(self, node, index, bounds):
        """Removes and returns 'node' from all lists in [0, 'index'[."""
        for i in range(index):
            predecessor = node.prev[i]
            successor = node.next[i]
            predecessor.next[i] = successor
            successor.prev[i] = predecessor
            if bounds[i] > node.cargo[i]:
                bounds[i] = node.cargo[i]
        return node

    def reinsert(self, node, index, bounds):
        """
        Inserts 'node' at the position it had in all lists in [0, 'index'[
        before it was removed. This method assumes that the next and previous
        nodes of the node that is reinserted are in the list.

        """
        for i in range(index):
            node.prev[i].next[i] = node
            node.next[i].prev[i] = node
            if bounds[i] > node.cargo[i]:
                bounds[i] = node.cargo[i]


__all__ = ["hypervolume_kmax", "hypervolume"]

if __name__ == "__main__":
    try:
        from deap.tools import hv
    except ImportError:
        hv = None
        print("Cannot import C version of hypervolume")

    pointset = [(a, a) for a in numpy.arange(1, 0, -0.01)]
    ref = numpy.array([2, 2])

    print("Python version: %f" % hypervolume(pointset, ref))
    if hv:
        print("C version: %f" % hv.hypervolume(pointset, ref))
    print("Approximated: %f" % hypervolume_approximation(pointset, ref))
