# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program 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 General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see .
#
# Copyright(C) 2013-2019 Max-Planck-Society
#
# NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik.
from functools import reduce
from .domain import Domain
class UnstructuredDomain(Domain):
"""A :class:`~nifty6.domains.domain.Domain` subclass for spaces with no
associated geometry.
Typically used for data spaces.
Parameters
----------
shape : tuple of int
The required shape for an array which can hold the unstructured
domain's data.
"""
_needed_for_hash = ["_shape"]
def __init__(self, shape):
try:
self._shape = tuple([int(i) for i in shape])
except TypeError:
self._shape = (int(shape), )
def __repr__(self):
return "UnstructuredDomain(shape={})".format(self.shape)
@property
def shape(self):
return self._shape
@property
def size(self):
return reduce(lambda x, y: x*y, self.shape)