nifty2go -> nifty4 part 1/n

README.md

 NIFTy - Numerical Information Field Theory
 ==========================================
-[![build status](https://gitlab.mpcdf.mpg.de/ift/NIFTy/badges/fun_with_operators/build.svg)](https://gitlab.mpcdf.mpg.de/ift/NIFTy/commits/nifty2go)
+[![build status](https://gitlab.mpcdf.mpg.de/ift/NIFTy/badges/fun_with_operators/build.svg)](https://gitlab.mpcdf.mpg.de/ift/NIFTy/commits/nifty4)
 [![coverage report](https://gitlab.mpcdf.mpg.de/ift/NIFTy/badges/fun_with_operators/coverage.svg)](https://gitlab.mpcdf.mpg.de/ift/NIFTy/commits/nifty2go)
 
 **NIFTy** project homepage:
@@ -83,7 +83,7 @@ The current version of Nifty3 can be obtained by cloning the repository:
 
 It is possible to simply install NIFTy with all its dependencies via the command
 
-pip install --user --process-dependency-links --egg git+https://gitlab.mpcdf.mpg.de/ift/NIFTy.git@nifty2go
+pip install --user --process-dependency-links --egg git+https://gitlab.mpcdf.mpg.de/ift/NIFTy.git@nifty4
 
 ### Running the tests
 
@@ -94,7 +94,7 @@ In oder to run the tests one needs two additional packages:
 Afterwards the tests (including a coverage report) are run using the following
 command in the repository root:
 
-    nosetests -x --with-coverage --cover-html --cover-package=nifty2go
+    nosetests -x --with-coverage --cover-html --cover-package=nifty4
 
 
 ### First Steps

demos/critical_filtering.py

 import numpy as np
-import nifty2go as ift
+import nifty4 as ift
 
 np.random.seed(42)
 # np.seterr(all="raise",under="ignore")

demos/log_normal_wiener_filter.py

-import nifty2go as ift
+import nifty4 as ift
 import numpy as np
 
 if __name__ == "__main__":

demos/nonlinear_critical_filter.py

-import nifty2go as ift
-from nifty2go.library.nonlinearities import Exponential
+import nifty4 as ift
+from nifty4.library.nonlinearities import Exponential
 import numpy as np
 np.random.seed(42)
 

demos/paper_demos/cartesian_wiener_filter.py

 import numpy as np
-import nifty2go as ift
+import nifty4 as ift
 
 if __name__ == "__main__":
     signal_to_noise = 1.5  # The signal to noise ratio

demos/paper_demos/wiener_filter.py

-import nifty2go as ift
+import nifty4 as ift
 import numpy as np
 
 

demos/probing.py

-import nifty2go as ift
+import nifty4 as ift
 import numpy as np
 
 np.random.seed(42)

demos/wiener_filter_easy.py

 import numpy as np
-import nifty2go as ift
+import nifty4 as ift
 
 
 if __name__ == "__main__":

demos/wiener_filter_via_curvature.py

 import numpy as np
-import nifty2go as ift
+import nifty4 as ift
 import numericalunits as nu
 
 if __name__ == "__main__":

demos/wiener_filter_via_hamiltonian.py

-import nifty2go as ift
+import nifty4 as ift
 import numpy as np
 
 np.random.seed(42)

docs/source/conf.py

@@ -12,7 +12,7 @@
 # All configuration values have a default; values that are commented out
 # serve to show the default.
 
-from nifty2go import *
+from nifty4 import *
 import sys
 import os
 

nifty/field.py → nifty4/field.py

@@ -535,12 +535,12 @@ class Field(object):
         return self._binary_helper(other, op='__ipow__')
 
     def __repr__(self):
-        return "<nifty2go.Field>"
+        return "<nifty4.Field>"
 
     def __str__(self):
         minmax = [self.min(), self.max()]
         mean = self.mean()
-        return "nifty2go.Field instance\n- domain      = " + \
+        return "nifty4.Field instance\n- domain      = " + \
                repr(self._domain) + \
                "\n- val         = " + repr(self.val) + \
                "\n  - min.,max. = " + str(minmax) + \