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| author | Charles Harris <charlesr.harris@gmail.com> | 2013-03-27 21:49:08 -0600 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2013-03-28 08:43:26 -0600 |
| commit | d4b88c1dbd6898fb6fcebc97f36b421999340f71 (patch) | |
| tree | 61cc0282cf2509afe364c91e97b59dfb2ebcafd3 /numpy/lib/index_tricks.py | |
| parent | 40742184df68fc01f3392c9865f35d5402e74b01 (diff) | |
| download | numpy-d4b88c1dbd6898fb6fcebc97f36b421999340f71.tar.gz | |
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
Diffstat (limited to 'numpy/lib/index_tricks.py')
| -rw-r--r-- | numpy/lib/index_tricks.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/numpy/lib/index_tricks.py b/numpy/lib/index_tricks.py index 07e7c1e39..ad9af9840 100644 --- a/numpy/lib/index_tricks.py +++ b/numpy/lib/index_tricks.py @@ -1,4 +1,4 @@ -from __future__ import division +from __future__ import division, absolute_import __all__ = ['ravel_multi_index', 'unravel_index', @@ -16,9 +16,9 @@ from numpy.core.numeric import ( asarray, ScalarType, array, alltrue, cumprod, from numpy.core.numerictypes import find_common_type import math -import function_base +from . import function_base import numpy.matrixlib as matrix -from function_base import diff +from .function_base import diff from numpy.lib._compiled_base import ravel_multi_index, unravel_index from numpy.lib.stride_tricks import as_strided makemat = matrix.matrix |