"""Utility functions for geometrical entities.

Contains
========
intersection
convex_hull
are_similar

"""
from sympy import Symbol, Function, solve

def idiff(eq, y, x, dep=None):
    """Return dy/dx assuming that y and any other variables given in dep
    depend on x.

    >>> from sympy.abc import x, y, a
    >>> from sympy.geometry.util import idiff

    >>> idiff(x**2 + y**2 - 4, y, x)
    -x/y
    >>> idiff(x + a + y, y, x)
    -1
    >>> idiff(x + a + y, y, x, [a])
    -Derivative(a, x) - 1

    See Also
    ========

    sympy.core.function.Derivative

    """
    if not dep:
        dep = []
    dep = set(dep)
    dep.add(y)

    f = dict([(s, Function(s.name)(x)) for s in eq.atoms(Symbol) if s != x and s in dep])
    dydx = Function(y.name)(x).diff(x)
    return solve(eq.subs(f).diff(x), dydx)[0].subs(
        [(b, a) for a, b in f.iteritems()])

def _symbol(s, matching_symbol=None):
    """Return s if s is a Symbol, else return either a new Symbol (real=True)
    with the same name s or the matching_symbol if s is a string and it matches
    the name of the matching_symbol.

    >>> from sympy import Symbol
    >>> from sympy.geometry.util import _symbol
    >>> x = Symbol('x')
    >>> _symbol('y')
    y
    >>> _.is_real
    True
    >>> _symbol(x)
    x
    >>> _.is_real is None
    True
    >>> arb = Symbol('foo')
    >>> _symbol('arb', arb) # arb's name is foo so foo will not be returned
    arb
    >>> _symbol('foo', arb) # now it will
    foo

    NB: the symbol here may not be the same as a symbol with the same
    name defined elsewhere as a result of different assumptions.

    See Also
    ========

    sympy.core.symbol.Symbol

    """
    if isinstance(s, basestring):
        if matching_symbol and matching_symbol.name == s:
            return matching_symbol
        return Symbol(s, real=True)
    elif isinstance(s, Symbol):
        return s
    else:
        raise ValueError('symbol must be string for symbol name or Symbol')

def intersection(*entities):
    """The intersection of a collection of GeometryEntity instances.

    Parameters
    ==========

    entities : sequence of GeometryEntity

    Returns
    =======

    intersection : list of GeometryEntity

    Raises
    ======

    NotImplementedError
        When unable to calculate intersection.

    Notes
    =====

    The intersection of any geometrical entity with itself should return
    a list with one item: the entity in question.
    An intersection requires two or more entities. If only a single
    entity is given then the function will return an empty list.
    It is possible for `intersection` to miss intersections that one
    knows exists because the required quantities were not fully
    simplified internally.
    Reals should be converted to Rationals, e.g. Rational(str(real_num))
    or else failures due to floating point issues may result.

    See Also
    ========

    sympy.geometry.entity.GeometryEntity.intersection

    Examples
    ========

    >>> from sympy.geometry import Point, Line, Circle, intersection
    >>> p1, p2, p3 = Point(0, 0), Point(1, 1), Point(-1, 5)
    >>> l1, l2 = Line(p1, p2), Line(p3, p2)
    >>> c = Circle(p2, 1)
    >>> intersection(l1, p2)
    [Point(1, 1)]
    >>> intersection(l1, l2)
    [Point(1, 1)]
    >>> intersection(c, p2)
    []
    >>> intersection(c, Point(1, 0))
    [Point(1, 0)]
    >>> intersection(c, l2)
    [Point(-sqrt(5)/5 + 1, 2*sqrt(5)/5 + 1), Point(sqrt(5)/5 + 1, -2*sqrt(5)/5 + 1)]

    """
    from entity import GeometryEntity
    from point import Point

    if len(entities) <= 1:
        return []

    for i, e in enumerate(entities):
        if not isinstance(e, GeometryEntity):
            try:
                entities[i] = Point(e)
            except NotImplementedError:
                raise ValueError('%s is not a GeometryEntity and cannot be made into Point' % str(e))

    res = entities[0].intersection(entities[1])
    for entity in entities[2:]:
        newres = []
        for x in res:
            newres.extend(x.intersection(entity))
        res = newres
    return res


def convex_hull(*args):
    """The convex hull surrounding the Points contained in the list of entities.

    Parameters
    ==========

    args : a collection of Points, Segments and/or Polygons

    Returns
    =======

    convex_hull : Polygon

    Notes
    =====

    This can only be performed on a set of non-symbolic points.

    References
    ==========

    [1] http://en.wikipedia.org/wiki/Graham_scan

    [2] Andrew's Monotone Chain Algorithm
    ( A.M. Andrew, "Another Efficient Algorithm for Convex Hulls in Two Dimensions", 1979)
    http://softsurfer.com/Archive/algorithm_0109/algorithm_0109.htm

    See Also
    ========

    sympy.geometry.point.Point, sympy.geometry.polygon.Polygon

    Examples
    ========

    >>> from sympy.geometry import Point, convex_hull
    >>> points = [(1,1), (1,2), (3,1), (-5,2), (15,4)]
    >>> convex_hull(*points)
    Polygon(Point(-5, 2), Point(1, 1), Point(3, 1), Point(15, 4))

    """
    from entity import GeometryEntity
    from point import Point
    from line import Segment
    from polygon import Polygon

    p = set()
    for e in args:
        if not isinstance(e, GeometryEntity):
            try:
                e = Point(e)
            except NotImplementedError:
                raise ValueError('%s is not a GeometryEntity and cannot be made into Point' % str(e))
        if isinstance(e, Point):
            p.add(e)
        elif isinstance(e, Segment):
            p.update(e.points)
        elif isinstance(e, Polygon):
            p.update(e.vertices)
        else:
            raise NotImplementedError('Convex hull for %s not implemented.' % type(e))

    p = list(p)
    if len(p) == 1:
        return p[0]
    elif len(p) == 2:
        return Segment(p[0], p[1])

    def _orientation(p, q, r):
        '''Return positive if p-q-r are clockwise, neg if ccw, zero if
        collinear.'''
        return (q.y - p.y)*(r.x - p.x) - (q.x - p.x)*(r.y - p.y)

    # scan to find upper and lower convex hulls of a set of 2d points.
    U = []
    L = []
    p.sort(key=lambda x: x.args)
    for p_i in p:
        while len(U) > 1 and _orientation(U[-2], U[-1], p_i) <= 0:
            U.pop()
        while len(L) > 1 and _orientation(L[-2], L[-1], p_i) >= 0:
            L.pop()
        U.append(p_i)
        L.append(p_i)
    U.reverse()
    convexHull = tuple(L + U[1:-1])

    if len(convexHull) == 2:
        return Segment(convexHull[0], convexHull[1])
    return Polygon(*convexHull)


def are_similar(e1, e2):
    """Are two geometrical entities similar.

    Can one geometrical entity be uniformly scaled to the other?

    Parameters
    ==========

    e1 : GeometryEntity
    e2 : GeometryEntity

    Returns
    =======

    are_similar : boolean

    Raises
    ======

    GeometryError
        When `e1` and `e2` cannot be compared.

    Notes
    =====

    If the two objects are equal then they are similar.

    See Also
    ========

    sympy.geometry.entity.GeometryEntity.is_similar

    Examples
    ========

    >>> from sympy import Point, Circle, Triangle, are_similar
    >>> c1, c2 = Circle(Point(0, 0), 4), Circle(Point(1, 4), 3)
    >>> t1 = Triangle(Point(0, 0), Point(1, 0), Point(0, 1))
    >>> t2 = Triangle(Point(0, 0), Point(2, 0), Point(0, 2))
    >>> t3 = Triangle(Point(0, 0), Point(3, 0), Point(0, 1))
    >>> are_similar(t1, t2)
    True
    >>> are_similar(t1, t3)
    False

    """
    from exceptions import GeometryError

    if e1 == e2:
        return True
    try:
        return e1.is_similar(e2)
    except AttributeError:
        try:
            return e2.is_similar(e1)
        except AttributeError:
            n1 = e1.__class__.__name__
            n2 = e2.__class__.__name__
            raise GeometryError("Cannot test similarity between %s and %s" % (n1, n2))

def centroid(*args):
    """Find the centroid (center of mass) of the collection containing only Points,
    Segments or Polygons. The centroid is the weighted average of the individual centroid
    where the weights are the lengths (of segments) or areas (of polygons).
    Overlapping regions will add to the weight of that region.

    If there are no objects (or a mixture of objects) then None is returned.

    See Also
    ========

    sympy.geometry.point.Point, sympy.geometry.line.Segment,
    sympy.geometry.polygon.Polygon

    Examples
    ========

    >>> from sympy import Point, Segment, Polygon
    >>> from sympy.geometry.util import centroid
    >>> p = Polygon((0, 0), (10, 0), (10, 10))
    >>> q = p.translate(0, 20)
    >>> p.centroid, q.centroid
    (Point(20/3, 10/3), Point(20/3, 70/3))
    >>> centroid(p, q)
    Point(20/3, 40/3)
    >>> p, q = Segment((0, 0), (2, 0)), Segment((0, 0), (2, 2))
    >>> centroid(p, q)
    Point(1, -sqrt(2) + 2)
    >>> centroid(Point(0, 0), Point(2, 0))
    Point(1, 0)

    Stacking 3 polygons on top of each other effectively triples the
    weight of that polygon:

        >>> p = Polygon((0, 0), (1, 0), (1, 1), (0, 1))
        >>> q = Polygon((1, 0), (3, 0), (3, 1), (1, 1))
        >>> centroid(p, q)
        Point(3/2, 1/2)
        >>> centroid(p, p, p, q) # centroid x-coord shifts left
        Point(11/10, 1/2)

    Stacking the squares vertically above and below p has the same
    effect:

        >>> centroid(p, p.translate(0, 1), p.translate(0, -1), q)
        Point(11/10, 1/2)

    """

    from sympy.geometry import Polygon, Segment, Point
    if args:
        if all(isinstance(g, Point) for g in args):
            c = Point(0, 0)
            for g in args:
                c += g
            return c/len(args)
        elif all(isinstance(g, Segment) for g in args):
            c = Point(0, 0)
            L = 0
            for g in args:
                l = g.length
                c += g.midpoint*l
                L += l
            return c/L
        elif all(isinstance(g, Polygon) for g in args):
            c = Point(0, 0)
            A = 0
            for g in args:
                a = g.area
                c += g.centroid*a
                A += a
            return c/A
