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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 6 19:30:51 2019
@author: evangelos
"""
from ccpi.optimisation.operators import LinearOperator
import scipy.sparse as sp
import numpy as np
from ccpi.framework import ImageData
class Identity(LinearOperator):
def __init__(self, gm_domain, gm_range=None):
self.gm_domain = gm_domain
self.gm_range = gm_range
if self.gm_range is None:
self.gm_range = self.gm_domain
super(Identity, self).__init__()
def direct(self,x,out=None):
if out is None:
return x.copy()
else:
out.fill(x)
def adjoint(self,x, out=None):
if out is None:
return x.copy()
else:
out.fill(x)
def calculate_norm(self, **kwargs):
return 1.0
def domain_geometry(self):
return self.gm_domain
def range_geometry(self):
return self.gm_range
def matrix(self):
return sp.eye(np.prod(self.gm_domain.shape))
def sum_abs_row(self):
return self.gm_range.allocate(1)#ImageData(np.array(np.reshape(abs(self.matrix()).sum(axis=0), self.gm_domain.shape, 'F')))
def sum_abs_col(self):
return self.gm_domain.allocate(1)#ImageData(np.array(np.reshape(abs(self.matrix()).sum(axis=1), self.gm_domain.shape, 'F')))
if __name__ == '__main__':
from ccpi.framework import ImageGeometry
M, N = 2, 3
ig = ImageGeometry(M, N)
arr = ig.allocate('random_int')
Id = Identity(ig)
d = Id.matrix()
print(d.toarray())
d1 = Id.sum_abs_col()
print(d1.as_array())
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