change to ZeroFunction

1 files changed, 0 insertions, 63 deletions

diff --git a/Wrappers/Python/ccpi/optimisation/functions/ZeroFun.py b/Wrappers/Python/ccpi/optimisation/functions/ZeroFun.py
deleted file mode 100644
index 6d21acb..0000000
--- a/Wrappers/Python/ccpi/optimisation/functions/ZeroFun.py
+++ /dev/null
@@ -1,63 +0,0 @@
-# -*- coding: utf-8 -*-
-#   This work is part of the Core Imaging Library developed by
-#   Visual Analytics and Imaging System Group of the Science Technology
-#   Facilities Council, STFC
-
-#   Copyright 2018-2019 Evangelos Papoutsellis and Edoardo Pasca
-
-#   Licensed under the Apache License, Version 2.0 (the "License");
-#   you may not use this file except in compliance with the License.
-#   You may obtain a copy of the License at
-
-#       http://www.apache.org/licenses/LICENSE-2.0
-
-#   Unless required by applicable law or agreed to in writing, software
-#   distributed under the License is distributed on an "AS IS" BASIS,
-#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-#   See the License for the specific language governing permissions and
-#   limitations under the License.
-
-import numpy as np
-#from ccpi.optimisation.funcs import Function
-from ccpi.optimisation.functions import Function
-from ccpi.framework import DataContainer, ImageData
-from ccpi.framework import BlockDataContainer 
-
-class ZeroFun(Function):
-    
-    def __init__(self):
-        super(ZeroFun, self).__init__()
-              
-    def __call__(self,x):
-        return 0
-    
-    def convex_conjugate(self, x):
-        ''' This is the support function sup <x, x^{*}>  which in fact is the 
-        indicator function for the set = {0}
-        So 0 if x=0, or inf if x neq 0                
-        '''
-        
-        if x.shape[0]==1:
-            return x.maximum(0).sum()
-        else:
-            if isinstance(x, BlockDataContainer):
-                return x.get_item(0).maximum(0).sum() + x.get_item(1).maximum(0).sum()
-            else:
-                return x.maximum(0).sum() + x.maximum(0).sum()
-    
-    def proximal(self, x, tau, out=None):
-        if out is None:
-            return x.copy()
-        else:
-            out.fill(x)
-        
-    def proximal_conjugate(self, x, tau, out = None):
-        if out is None:
-            return 0
-        else:
-            return 0
-
-    def domain_geometry(self):
-        pass
-    def range_geometry(self):
-        pass
\ No newline at end of file