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space.py 2.75 KiB
# NIFTy
# Copyright (C) 2017 Theo Steininger
#
# Author: Theo Steininger
#
# 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 <http://www.gnu.org/licenses/>.
import abc
from nifty.domain_object import DomainObject
class Space(DomainObject):
"""The abstract base class for all NIFTy spaces.
An instance of a space contains information about the manifolds geometry
and enhances the functionality of DomainObject by methods that are needed
for powerspectrum analysis and smoothing.
Parameters
----------
None
Attributes
----------
dim : np.int
Total number of dimensionality, i.e. the number of pixels.
harmonic : bool
Specifies whether the space is a signal or harmonic space.
total_volume : np.float
The total volume of the space.
shape : tuple of np.ints
The shape of the space's data array.
Raises
------
TypeError
Raised if instantiated directly.
Notes
-----
`Space` is an abstract base class. In order to allow for instantiation the
methods `get_distance_array`, `total_volume` and `copy` must be implemented
as well as the abstract methods inherited from `DomainObject`.
See Also
--------
distributor
"""
def __init__(self):
super(Space, self).__init__()
@abc.abstractproperty
def harmonic(self):
raise NotImplementedError
@abc.abstractproperty
def total_volume(self):
raise NotImplementedError(
"There is no generic volume for the Space base class.")
@abc.abstractmethod
def copy(self):
return self.__class__()
def get_distance_array(self, distribution_strategy):
raise NotImplementedError(
"There is no generic distance structure for Space base class.")
def get_fft_smoothing_kernel_function(self, sigma):
raise NotImplementedError(
"There is no generic co-smoothing kernel for Space base class.")
def hermitian_decomposition(self, x, axes=None,
preserve_gaussian_variance=False):
raise NotImplementedError
def __repr__(self):
string = ""
string += str(type(self)) + "\n"
return string