delta/python-packages/numpy.git/numpy/testing/_private, branch maintenance/1.16.x

ENH: Backport improvements to testing functions.

2019-12-25T21:12:47+00:00

This improves the documentation and error messages of the testing
functions and extends `numpy.testing.assert_array_compare` to
more data types.

BUG: Fixed maximum relative error reporting in assert_allclose (gh-13802)

2019-09-05T20:43:36+00:00

Fixed maximum relative error reporting in assert_allclose:

In cases where the two arrays have zeros at the same positions it will
no longer report nan as the max relative error

TEST, ENH: fix tests and ctypes code for PyPy

2019-06-24T13:57:13+00:00

BUG: special case object arrays when printing rel-, abs-error

2019-05-27T18:56:46+00:00

ENH: add "max difference" messages to np.testing.assert_array_equal (#12591)

2019-01-17T02:20:08+00:00

Example behavior:

>>> x = np.array([1, 2, 3])
>>> y = np.array([1, 2, 3.0001])
>>> np.testing.assert_allclose(x, y)
AssertionError:
Not equal to tolerance rtol=1e-07, atol=0

Mismatch: 33.3%
Max absolute difference: 0.0001
Max relative difference: 3.33322223e-05
 x: array([1, 2, 3])
 y: array([1.    , 2.    , 3.0001])

Motivation: when writing numerical algorithms, I frequently find myself
experimenting to pick the right value of `atol` and `rtol` for
`np.testing.assert_allclose()`. If I make the tolerance too generous, I risk
missing regressions in accuracy, so I usually try to pick the smallest values
for which tests pass. This change immediately reveals appropriate values to
use for these parameters, so I don't need to guess and check.

MAINT: Review F401,F841,F842 flake8 errors (unused variables and imports) (#12448)

2018-12-06T19:05:08+00:00

* Review F401,F841,F842 flake8 errors (unused variables, imports)

* Review comments

* More tests in test_installed_npymath_ini

* Review comments

Use set litterals

2018-11-24T19:59:42+00:00

Merge pull request #12243 from liwt31/fix_misleading_msg

2018-10-23T09:35:38+00:00

BUG: Fix misleading assert message in assert_almost_equal #12200

BUG: Fix misleading assert message in assert_almost_equal #12200

2018-10-23T08:29:35+00:00

Fixes #12200 by making a copy of the matrix before NaN's are excluded.
Add a test for it.

ENH: __array_function__ support for np.lib, part 2/2 (#12119)

2018-10-23T00:40:08+00:00

* ENH: __array_function__ support for np.lib, part 2

xref GH12028

np.lib.npyio through np.lib.ufunclike

* Fix failures in numpy/core/tests/test_overrides.py

* CLN: handle depreaction in dispatchers for np.lib.ufunclike

* CLN: fewer dispatchers in lib.twodim_base

* CLN: fewer dispatchers in lib.shape_base

* CLN: more dispatcher consolidation

* BUG: fix test failure

* Use all method instead of function in assert_equal

* DOC: indicate n is array_like in scimath.logn

* MAINT: updates per review

* MAINT: more conservative changes in assert_array_equal

* MAINT: add back in comment

* MAINT: casting tweaks in assert_array_equal

* MAINT: fixes and tests for assert_array_equal on subclasses