gentoo/dev-python/numpy/files/numpy-1.9.0-OO.patch
Robin H. Johnson 56bd759df1
proj/gentoo: Initial commit
This commit represents a new era for Gentoo:
Storing the gentoo-x86 tree in Git, as converted from CVS.

This commit is the start of the NEW history.
Any historical data is intended to be grafted onto this point.

Creation process:
1. Take final CVS checkout snapshot
2. Remove ALL ChangeLog* files
3. Transform all Manifests to thin
4. Remove empty Manifests
5. Convert all stale $Header$/$Id$ CVS keywords to non-expanded Git $Id$
5.1. Do not touch files with -kb/-ko keyword flags.

Signed-off-by: Robin H. Johnson <robbat2@gentoo.org>
X-Thanks: Alec Warner <antarus@gentoo.org> - did the GSoC 2006 migration tests
X-Thanks: Robin H. Johnson <robbat2@gentoo.org> - infra guy, herding this project
X-Thanks: Nguyen Thai Ngoc Duy <pclouds@gentoo.org> - Former Gentoo developer, wrote Git features for the migration
X-Thanks: Brian Harring <ferringb@gentoo.org> - wrote much python to improve cvs2svn
X-Thanks: Rich Freeman <rich0@gentoo.org> - validation scripts
X-Thanks: Patrick Lauer <patrick@gentoo.org> - Gentoo dev, running new 2014 work in migration
X-Thanks: Michał Górny <mgorny@gentoo.org> - scripts, QA, nagging
X-Thanks: All of other Gentoo developers - many ideas and lots of paint on the bikeshed
2015-08-08 17:38:18 -07:00

92 lines
2.9 KiB
Diff

From dc453917978e98dcdf3bbc106b080c80f0a1301e Mon Sep 17 00:00:00 2001
From: Charles Harris <charlesr.harris@gmail.com>
Date: Fri, 3 Oct 2014 20:03:31 -0600
Subject: [PATCH] BUG: Make numpy import when run with Python flag '-OO'.
This consists of checking for a docstring equal to None and skipping two
tests that require docstrings.
Closes #5148.
---
numpy/lib/tests/test_function_base.py | 6 +++++-
numpy/lib/tests/test_utils.py | 3 ++-
numpy/ma/extras.py | 8 +++++---
3 files changed, 12 insertions(+), 5 deletions(-)
diff --git a/numpy/lib/tests/test_function_base.py b/numpy/lib/tests/test_function_base.py
index ee38b35..a3f8056 100644
--- a/numpy/lib/tests/test_function_base.py
+++ b/numpy/lib/tests/test_function_base.py
@@ -1,12 +1,14 @@
from __future__ import division, absolute_import, print_function
import warnings
+import sys
import numpy as np
from numpy.testing import (
run_module_suite, TestCase, assert_, assert_equal, assert_array_equal,
assert_almost_equal, assert_array_almost_equal, assert_raises,
- assert_allclose, assert_array_max_ulp, assert_warns, assert_raises_regex
+ assert_allclose, assert_array_max_ulp, assert_warns,
+ assert_raises_regex, dec
)
from numpy.random import rand
from numpy.lib import *
@@ -2094,6 +2096,8 @@ def test_string_arg(self):
class TestAdd_newdoc(TestCase):
+
+ @dec.skipif(sys.flags.optimize == 2)
def test_add_doc(self):
# test np.add_newdoc
tgt = "Current flat index into the array."
diff --git a/numpy/lib/tests/test_utils.py b/numpy/lib/tests/test_utils.py
index fcb37f9..8fbd1c4 100644
--- a/numpy/lib/tests/test_utils.py
+++ b/numpy/lib/tests/test_utils.py
@@ -3,7 +3,7 @@
import sys
from numpy.core import arange
from numpy.testing import (
- run_module_suite, assert_, assert_equal
+ run_module_suite, assert_, assert_equal, dec
)
from numpy.lib import deprecate
import numpy.lib.utils as utils
@@ -14,6 +14,7 @@
from StringIO import StringIO
+@dec.skipif(sys.flags.optimize == 2)
def test_lookfor():
out = StringIO()
utils.lookfor('eigenvalue', module='numpy', output=out,
diff --git a/numpy/ma/extras.py b/numpy/ma/extras.py
index 82a61a6..a993fd0 100644
--- a/numpy/ma/extras.py
+++ b/numpy/ma/extras.py
@@ -434,8 +434,10 @@ def apply_over_axes(func, a, axes):
raise ValueError("function is not returning "
"an array of the correct shape")
return val
-apply_over_axes.__doc__ = np.apply_over_axes.__doc__[
- :np.apply_over_axes.__doc__.find('Notes')].rstrip() + \
+
+if apply_over_axes.__doc__ is not None:
+ apply_over_axes.__doc__ = np.apply_over_axes.__doc__[
+ :np.apply_over_axes.__doc__.find('Notes')].rstrip() + \
"""
Examples
@@ -462,7 +464,7 @@ def apply_over_axes(func, a, axes):
[[[46]
[--]
[124]]]
-"""
+ """
def average(a, axis=None, weights=None, returned=False):