Fixed dependency on nifty.about.

d2o/cast_axis_to_tuple.py

 # -*- coding: utf-8 -*-
 
 import numpy as np
-from nifty import about
 
 
 def cast_axis_to_tuple(axis):
@@ -13,6 +12,6 @@ def cast_axis_to_tuple(axis):
         if np.isscalar(axis):
             axis = (int(axis), )
         else:
-            raise TypeError(about._errors.cstring(
-              "ERROR: Could not convert axis-input to tuple of ints"))
+            raise TypeError(
+                "ERROR: Could not convert axis-input to tuple of ints")
     return axis

d2o/distributed_data_object.py

@@ -4,7 +4,7 @@ import numpy as np
 
 
 from d2o.config import configuration as gc,\
-                                        dependency_injector as gdi
+                       dependency_injector as gdi
 
 from d2o_librarian import d2o_librarian
 from cast_axis_to_tuple import cast_axis_to_tuple
@@ -13,8 +13,11 @@ from strategies import STRATEGIES
 
 MPI = gdi[gc['mpi_module']]
 
+about_cstring = lambda z: z
 from sys import stdout
-warn_print = lambda z: stdout.write(z + "\n"); stdout.flush()
+about_warnings_cprint = lambda z: stdout.write(z + "\n"); stdout.flush()
+about_infos_cprint = lambda z: stdout.write(z + "\n"); stdout.flush()
+
 
 class distributed_data_object(object):
     """A multidimensional array with modular MPI-based distribution schemes.
@@ -124,7 +127,7 @@ class distributed_data_object(object):
     only one local object on a specific node is given.
 
     In order to speed up the init process the distributor_factory checks
-    if the global_configuration object gc yields gc['d2o_init_checks'] == True.
+    if the global_configuration object gc yields gc['mpi_init_checks'] == True.
     If yes, all checks expensive checks are skipped; namely those which  need
     mpi communication. Use this in order to get a fast init speed without
     loosing d2o's init parsing logic.
@@ -412,7 +415,7 @@ class distributed_data_object(object):
         try:
             result_data = function(local_data)
         except:
-            about.warnings.cprint(
+            about_warnings_cprint(
                 "WARNING: Trying to use np.vectorize!")
             result_data = np.vectorize(function)(local_data)
 
@@ -1301,7 +1304,7 @@ class distributed_data_object(object):
         expensive.
         """
 
-        about.warnings.cprint(
+        about_warnings_cprint(
             "WARNING: The current implementation of median is very expensive!")
         median = np.median(self.get_full_data(), axis=axis, **kwargs)
         if np.isscalar(median):
@@ -1437,7 +1440,7 @@ class distributed_data_object(object):
         if self.dtype not in [np.dtype('int16'), np.dtype('int32'),
                               np.dtype('int64'),  np.dtype('uint16'),
                               np.dtype('uint32'), np.dtype('uint64')]:
-            raise TypeError(about._errors.cstring(
+            raise TypeError(about_cstring(
                 "ERROR: Distributed-data-object must be of integer datatype!"))
 
         minlength = max(self.amax() + 1, minlength)

d2o/dtype_converter.py

@@ -2,8 +2,8 @@
 
 import numpy as np
 
-from nifty.keepers import global_configuration as gc,\
-                          global_dependency_injector as gdi
+from d2o.config import configuration as gc,\
+                       dependency_injector as gdi
 
 MPI = gdi[gc['mpi_module']]
 

d2o/strategies.py

 # -*- coding: utf-8 -*-
 
-from nifty.keepers import global_dependency_injector as gdi
+from d2o.config import dependency_injector as gdi
 
 pyfftw = gdi.get('pyfftw')
 

d2o/translate_to_mpi_operator.py

@@ -2,8 +2,8 @@
 
 import numpy as np
 
-from nifty.keepers import global_configuration as gc,\
-                          global_dependency_injector as gdi
+from d2o.config import configuration as gc,\
+                       dependency_injector as gdi
 
 MPI = gdi[gc['mpi_module']]
 

tests/test_distributed_data_object.py

@@ -13,9 +13,9 @@ import numpy as np
 import warnings
 import tempfile
 
-import nifty
-from nifty.d2o import distributed_data_object,\
-                      STRATEGIES
+import d2o
+from d2o import distributed_data_object,\
+                STRATEGIES
 
 from distutils.version import LooseVersion as lv
 
@@ -81,10 +81,10 @@ comparison_operators = ['__ne__', '__lt__', '__le__', '__eq__', '__ge__',
 ###############################################################################
 
 hdf5_test_paths = [  # ('hdf5_init_test.hdf5', None),
-    ('hdf5_init_test.hdf5', os.path.join(os.path.dirname(nifty.__file__),
+    ('hdf5_init_test.hdf5', os.path.join(os.path.dirname(d2o.__file__),
                                          'test/hdf5_init_test.hdf5')),
     ('hdf5_init_test.hdf5',
-     os.path.join(os.path.dirname(nifty.__file__),
+     os.path.join(os.path.dirname(d2o.__file__),
                   'test//hdf5_test_folder/hdf5_init_test.hdf5'))]
 
 ###############################################################################