nifty6 -> nifty7

src/operators/normal_operators.py

@@ -41,7 +41,7 @@ def NormalTransform(mean, sigma, key, N_copies=0):
     N_copies : integer
         If == 0, target will be a scalar field.
         If >= 1, target will be an
-        :class:`~nifty6.unstructured_domain.UnstructuredDomain`.
+        :class:`~nifty7.unstructured_domain.UnstructuredDomain`.
     """
     if N_copies == 0:
         domain = DomainTuple.scalar_domain()
@@ -71,7 +71,7 @@ def LognormalTransform(mean, sigma, key, N_copies):
     N_copies : integer
         If == 0, target will be a scalar field.
         If >= 1, target will be an
-        :class:`~nifty6.unstructured_domain.UnstructuredDomain`.
+        :class:`~nifty7.unstructured_domain.UnstructuredDomain`.
     """
     logmean, logsigma = lognormal_moments(mean, sigma, N_copies)
     return NormalTransform(logmean, logsigma, key, N_copies).ptw("exp")

src/utilities.py

@@ -395,7 +395,7 @@ def lognormal_moments(mean, sigma, N=0):
     """Calculates the parameters for a normal distribution `n(x)`
     such that `exp(n)(x)` has the mean and standard deviation given.
 
-    Used in :func:`~nifty6.normal_operators.LognormalTransform`."""
+    Used in :func:`~nifty7.normal_operators.LognormalTransform`."""
     mean, sigma = (value_reshaper(param, N) for param in (mean, sigma))
     if not np.all(mean > 0):
         raise ValueError("mean must be greater 0; got {!r}".format(mean))

test/test_operators/test_normal_operators.py

@@ -18,7 +18,7 @@
 import pytest
 from numpy.testing import assert_allclose
 
-import nifty6 as ift
+import nifty7 as ift
 
 from ..common import setup_function, teardown_function