
from scipy.spatial import Delaunay, distance

from .abssimcomplex import SimplicialComplex
from .utils import facesiter, get_allpoints


def calculate_distmatrix(points, labels, distfcn):
    return {
        (labels[i], labels[j]): distfcn(points[i], points[j])
        for i in range(len(labels)) for j in range(len(labels))
    }


def contain_detachededges(simplex, distdict, epsilon):
    if len(simplex) == 2:
        return distdict[simplex[0], simplex[1]] > 2*epsilon
    else:
        for face in facesiter(simplex):
            contained = contain_detachededges(face, distdict, epsilon)
            if contained:
                return True
        return False


class AlphaComplex(SimplicialComplex):
    def __init__(
            self,
            points,
            epsilon,
            labels=None,
            distfcn=distance.euclidean
    ):
        super(AlphaComplex, self).__init__()
        self.pts = points
        self.labels = (range(len(self.pts))
                       if (labels is None or len(labels) != len(self.pts))
                       else labels)
        self.epsilon = epsilon
        self.distfcn = distfcn
        self.import_simplices(
            self.construct_simplices(self.pts, self.labels, self.epsilon, self.distfcn)
        )

    def construct_simplices(self, points, labels, epsilon, distfcn):
        distdict = calculate_distmatrix(points, labels, distfcn)

        delaunayobj = Delaunay(points)

        simplices = []
        for simplexnda in delaunayobj.simplices:
            simplex = tuple(simplexnda)

            detached = [contain_detachededges(face, distdict, epsilon) for face in facesiter(simplex)]

            if True in detached and len(simplex) > 2:
                simplices += [
                    face
                    for face, notkeep in zip(facesiter(simplex), detached)
                    if not notkeep
                ]
            else:
                simplices.append(simplex)
        # simplices = map(lambda simplex: tuple(sorted(simplex)), simplices)
        simplices = [tuple(sorted(simplex)) for simplex in simplices]
        simplices = list(set(simplices))

        allpts = get_allpoints(simplices)
        simplices += [(point,) for point in (set(labels)-allpts)]

        return simplices

4d7d7ce095af914c3cc3ae5afc2fd81956e34f86
<mask token>


class AlphaComplex(SimplicialComplex):
    <mask token>
    <mask token>

<mask token>


def contain_detachededges(simplex, distdict, epsilon):
    if len(simplex) == 2:
        return distdict[simplex[0], simplex[1]] > 2 * epsilon
    else:
        for face in facesiter(simplex):
            contained = contain_detachededges(face, distdict, epsilon)
            if contained:
                return True
        return False


class AlphaComplex(SimplicialComplex):

    def __init__(self, points, epsilon, labels=None, distfcn=distance.euclidean
        ):
        super(AlphaComplex, self).__init__()
        self.pts = points
        self.labels = range(len(self.pts)) if labels is None or len(labels
            ) != len(self.pts) else labels
        self.epsilon = epsilon
        self.distfcn = distfcn
        self.import_simplices(self.construct_simplices(self.pts, self.
            labels, self.epsilon, self.distfcn))

    def construct_simplices(self, points, labels, epsilon, distfcn):
        distdict = calculate_distmatrix(points, labels, distfcn)
        delaunayobj = Delaunay(points)
        simplices = []
        for simplexnda in delaunayobj.simplices:
            simplex = tuple(simplexnda)
            detached = [contain_detachededges(face, distdict, epsilon) for
                face in facesiter(simplex)]
            if True in detached and len(simplex) > 2:
                simplices += [face for face, notkeep in zip(facesiter(
                    simplex), detached) if not notkeep]
            else:
                simplices.append(simplex)
        simplices = [tuple(sorted(simplex)) for simplex in simplices]
        simplices = list(set(simplices))
        allpts = get_allpoints(simplices)
        simplices += [(point,) for point in set(labels) - allpts]
        return simplices

<mask token>


def calculate_distmatrix(points, labels, distfcn):
    return {(labels[i], labels[j]): distfcn(points[i], points[j]) for i in
        range(len(labels)) for j in range(len(labels))}


def contain_detachededges(simplex, distdict, epsilon):
    if len(simplex) == 2:
        return distdict[simplex[0], simplex[1]] > 2 * epsilon
    else:
        for face in facesiter(simplex):
            contained = contain_detachededges(face, distdict, epsilon)
            if contained:
                return True
        return False


class AlphaComplex(SimplicialComplex):

    def __init__(self, points, epsilon, labels=None, distfcn=distance.euclidean
        ):
        super(AlphaComplex, self).__init__()
        self.pts = points
        self.labels = range(len(self.pts)) if labels is None or len(labels
            ) != len(self.pts) else labels
        self.epsilon = epsilon
        self.distfcn = distfcn
        self.import_simplices(self.construct_simplices(self.pts, self.
            labels, self.epsilon, self.distfcn))

    def construct_simplices(self, points, labels, epsilon, distfcn):
        distdict = calculate_distmatrix(points, labels, distfcn)
        delaunayobj = Delaunay(points)
        simplices = []
        for simplexnda in delaunayobj.simplices:
            simplex = tuple(simplexnda)
            detached = [contain_detachededges(face, distdict, epsilon) for
                face in facesiter(simplex)]
            if True in detached and len(simplex) > 2:
                simplices += [face for face, notkeep in zip(facesiter(
                    simplex), detached) if not notkeep]
            else:
                simplices.append(simplex)
        simplices = [tuple(sorted(simplex)) for simplex in simplices]
        simplices = list(set(simplices))
        allpts = get_allpoints(simplices)
        simplices += [(point,) for point in set(labels) - allpts]
        return simplices

from scipy.spatial import Delaunay, distance
from .abssimcomplex import SimplicialComplex
from .utils import facesiter, get_allpoints


def calculate_distmatrix(points, labels, distfcn):
    return {(labels[i], labels[j]): distfcn(points[i], points[j]) for i in
        range(len(labels)) for j in range(len(labels))}


def contain_detachededges(simplex, distdict, epsilon):
    if len(simplex) == 2:
        return distdict[simplex[0], simplex[1]] > 2 * epsilon
    else:
        for face in facesiter(simplex):
            contained = contain_detachededges(face, distdict, epsilon)
            if contained:
                return True
        return False


class AlphaComplex(SimplicialComplex):

    def __init__(self, points, epsilon, labels=None, distfcn=distance.euclidean
        ):
        super(AlphaComplex, self).__init__()
        self.pts = points
        self.labels = range(len(self.pts)) if labels is None or len(labels
            ) != len(self.pts) else labels
        self.epsilon = epsilon
        self.distfcn = distfcn
        self.import_simplices(self.construct_simplices(self.pts, self.
            labels, self.epsilon, self.distfcn))

    def construct_simplices(self, points, labels, epsilon, distfcn):
        distdict = calculate_distmatrix(points, labels, distfcn)
        delaunayobj = Delaunay(points)
        simplices = []
        for simplexnda in delaunayobj.simplices:
            simplex = tuple(simplexnda)
            detached = [contain_detachededges(face, distdict, epsilon) for
                face in facesiter(simplex)]
            if True in detached and len(simplex) > 2:
                simplices += [face for face, notkeep in zip(facesiter(
                    simplex), detached) if not notkeep]
            else:
                simplices.append(simplex)
        simplices = [tuple(sorted(simplex)) for simplex in simplices]
        simplices = list(set(simplices))
        allpts = get_allpoints(simplices)
        simplices += [(point,) for point in set(labels) - allpts]
        return simplices


from scipy.spatial import Delaunay, distance

from .abssimcomplex import SimplicialComplex
from .utils import facesiter, get_allpoints


def calculate_distmatrix(points, labels, distfcn):
    return {
        (labels[i], labels[j]): distfcn(points[i], points[j])
        for i in range(len(labels)) for j in range(len(labels))
    }


def contain_detachededges(simplex, distdict, epsilon):
    if len(simplex) == 2:
        return distdict[simplex[0], simplex[1]] > 2*epsilon
    else:
        for face in facesiter(simplex):
            contained = contain_detachededges(face, distdict, epsilon)
            if contained:
                return True
        return False


class AlphaComplex(SimplicialComplex):
    def __init__(
            self,
            points,
            epsilon,
            labels=None,
            distfcn=distance.euclidean
    ):
        super(AlphaComplex, self).__init__()
        self.pts = points
        self.labels = (range(len(self.pts))
                       if (labels is None or len(labels) != len(self.pts))
                       else labels)
        self.epsilon = epsilon
        self.distfcn = distfcn
        self.import_simplices(
            self.construct_simplices(self.pts, self.labels, self.epsilon, self.distfcn)
        )

    def construct_simplices(self, points, labels, epsilon, distfcn):
        distdict = calculate_distmatrix(points, labels, distfcn)

        delaunayobj = Delaunay(points)

        simplices = []
        for simplexnda in delaunayobj.simplices:
            simplex = tuple(simplexnda)

            detached = [contain_detachededges(face, distdict, epsilon) for face in facesiter(simplex)]

            if True in detached and len(simplex) > 2:
                simplices += [
                    face
                    for face, notkeep in zip(facesiter(simplex), detached)
                    if not notkeep
                ]
            else:
                simplices.append(simplex)
        # simplices = map(lambda simplex: tuple(sorted(simplex)), simplices)
        simplices = [tuple(sorted(simplex)) for simplex in simplices]
        simplices = list(set(simplices))

        allpts = get_allpoints(simplices)
        simplices += [(point,) for point in (set(labels)-allpts)]

        return simplices
