2to3: Use absolute imports.

The new import `absolute_import` is added the `from __future__ import`
statement and The 2to3 `import` fixer is run to make the imports
compatible. There are several things that need to be dealt with to make
this work.

1) Files meant to be run as scripts run in a different environment than
files imported as part of a package, and so changes to those files need
to be skipped. The affected script files are:

    * all setup.py files
    * numpy/core/code_generators/generate_umath.py
    * numpy/core/code_generators/generate_numpy_api.py
    * numpy/core/code_generators/generate_ufunc_api.py

2) Some imported modules are not available as they are created during
the build process and consequently 2to3 is unable to handle them
correctly. Files that import those modules need a bit of extra work.
The affected files are:

    * core/__init__.py,
    * core/numeric.py,
    * core/_internal.py,
    * core/arrayprint.py,
    * core/fromnumeric.py,
    * numpy/__init__.py,
    * lib/npyio.py,
    * lib/function_base.py,
    * fft/fftpack.py,
    * random/__init__.py

Closes #3172

1 files changed, 13 insertions, 13 deletions

diff --git a/numpy/oldnumeric/mlab.py b/numpy/oldnumeric/mlab.py
index e2ea78c02..d4063f65e 100644
--- a/numpy/oldnumeric/mlab.py
+++ b/numpy/oldnumeric/mlab.py
@@ -1,7 +1,7 @@
 """This module is for compatibility only.  All functions are defined elsewhere.
 
 """
-from __future__ import division
+from __future__ import division, absolute_import
 
 __all__ = ['rand', 'tril', 'trapz', 'hanning', 'rot90', 'triu', 'diff', 'angle',
            'roots', 'ptp', 'kaiser', 'randn', 'cumprod', 'diag', 'msort',
@@ -21,7 +21,7 @@ from numpy.linalg import eig, svd
 from numpy.random import rand, randn
 import numpy as np
 
-from typeconv import convtypecode
+from .typeconv import convtypecode
 
 def eye(N, M=None, k=0, typecode=None, dtype=None):
     """ eye returns a N-by-M 2-d array where the  k-th diagonal is all ones,
@@ -98,17 +98,17 @@ def corrcoef(x, y=None):
     d = diag(c)
     return c/sqrt(multiply.outer(d,d))
 
-from compat import *
-from functions import *
-from precision import *
-from ufuncs import *
-from misc import *
-
-import compat
-import precision
-import functions
-import misc
-import ufuncs
+from .compat import *
+from .functions import *
+from .precision import *
+from .ufuncs import *
+from .misc import *
+
+from . import compat
+from . import precision
+from . import functions
+from . import misc
+from . import ufuncs
 
 import numpy
 __version__ = numpy.__version__