2368fbb63c
Apply reorder-python-imports to all files
2018-10-25 00:01:29 -07:00
1caf6d5907
Upgrade pre-commit hooks
2018-10-08 10:10:46 -07:00
43664d7841
Use ids for parametrized values in test_expected_value_type_error
2018-08-01 07:34:08 -03:00
6e32a1f73d
Use parametrize in repr test for nd arrays
2018-08-01 07:04:25 -03:00
032db159c9
Let black reformat the code...
2018-07-31 11:23:23 -07:00
cd2085ee71
approx(): Detect type errors earlier.
2018-07-31 00:26:35 -07:00
7d8688d54b
Reflect dimension in approx repr for numpy arrays.
2018-07-30 23:23:17 -07:00
535fd1f311
may as well include inf test while we're at it
2018-07-29 23:12:04 -04:00
330640eb96
update tests to check tolerance args and expecing nan in numpy arrays
2018-07-29 22:47:38 -04:00
f0db64ac2e
drop the duplicate approx call
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update test to include both np.array(actual) and np.array(expected)
2018-07-24 21:18:44 -04:00
514ca6f4ad
add test wrt #3695 checking numpy array tolerance args
2018-07-23 23:40:06 -04:00
cbaa7dd56a
Upgrade pre-commit hooks except pyupgrade
2018-06-26 06:35:27 -07:00
0030ceb11c
Bug fix #3593 - approx method in a single element of numpy array
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If the user pass as a expected value a numpy array created like
numpy.array(5); it will creates an array with one element without shape,
when used with approx it will raise an error
'TypeError: iteration over a 0-d array'
2018-06-25 22:55:16 +02:00
703e4b11ba
run black
2018-05-23 16:48:46 +02:00
9aacb4635e
run pyupgrade
2018-05-23 16:45:09 +02:00
161d4e5fe4
Add support for pytest.approx comparisons between scalar and array (inverted order)
2018-03-14 16:29:04 -03:00
c34dde7a3f
Add support for pytest.approx comparisons between array and scalar
2018-03-14 15:47:21 -03:00
6e14585ca2
Fix approx default tolerances for Decimal
2018-02-21 23:08:23 +01:00
ef732fc51d
Remove code for unsupported Python versions
2017-10-10 08:54:56 +03:00
80f4699572
approx raises TypeError in Python 2 for comparison operators other than != and ==
2017-07-25 20:07:10 -03:00
24da938321
Fix additional flake8 errors
2017-07-19 17:42:21 -03:00
7b1870a94e
Fix flake8 in features branch
2017-07-17 21:16:14 -03:00
4fd92ef9ba
Merge branch 'fix-flake8-issues' into features
2017-07-17 21:05:39 -03:00
7d2ceb7872
Fixed E501 flake8 errors
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line too long (> 120 characters)
2017-07-17 01:44:23 +02:00
617e510b6e
Fixed E231 flake8 errors
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missing whitespace after ‘,’, ‘;’, or ‘:’
2017-07-17 01:44:22 +02:00
1ff54ba205
Fixed E201 flake8 errors
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whitespace after ‘(‘
2017-07-17 01:28:17 +02:00
df54bf0db5
Fixed E131 flake8 errors
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continuation line unaligned for hanging indent
2017-07-17 01:28:16 +02:00
e855a79dd4
Fixed E126 flake8 errors
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continuation line over-indented for hanging indent
2017-07-17 01:28:16 +02:00
0be97624b7
Fixed E121 flake8 errors
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continuation line under-indented for hanging indent
2017-07-17 01:28:16 +02:00
6af2abdb53
Fixed flake8 warnings
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W191 indentation contains tabs
W292 no newline at end of file
W293 blank line contains whitespace
W391 blank line at end of file
2017-07-17 01:28:16 +02:00
8524a57075
Add "approx" to all the repr-strings.
2017-07-03 22:44:37 -07:00
50769557e8
Skip the numpy doctests.
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They seem like more trouble that they're worth.
2017-06-15 14:53:27 -07:00
8badb47db6
Implement suggestions from code review.
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- Avoid importing numpy unless necessary.
- Mention numpy arrays and dictionaries in the docs.
- Add numpy to the list of tox dependencies.
- Don't unnecessarily copy arrays or allocate empty space for them.
- Use code from compat.py rather than writing py2/3 versions of things
myself.
- Avoid reimplementing __repr__ for built-in types.
- Add an option to consider NaN == NaN, because sometimes people use NaN
to mean "missing data".
2017-06-15 09:19:10 -07:00
9f3122fec6
Add support for numpy arrays (and dicts) to approx.
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This fixes #1994 . It turned out to require a lot of refactoring because
subclassing numpy.ndarray was necessary to coerce python into calling
the right `__eq__` operator.
2017-06-11 19:27:41 -07:00
fb0b90646e
New-style classes implemented for python 2.7 - #2147
2017-02-16 20:28:17 +01:00
57c4489916
Use a simple ``+-`` ASCII string in the string representation of pytest.approx In Python 2
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Fix #2111
2016-12-02 20:01:53 -02:00
33c0b06fdf
Fix error in approx's repr with complex numbers
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Fix #2082
2016-11-24 15:33:12 -02:00
916c0a8b36
Fix Decimal() and __ne__() errors.
2016-03-11 16:29:18 -08:00
42a7e0488d
Properly handle inf, nan, and built-in numeric types.
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This commit also:
- Dramatically increases the number of unit tests , mostly by borrowing
from the standard library's unit tests for math.isclose().
- Refactors approx() into two classes, one of which handles comparing
individual numbers (ApproxNonIterable) and another which uses the
first to compare individual numbers or sequences of numbers.
2016-03-11 08:49:26 -08:00
bf97d5b817
Use the plus/minus unicode symbol in the repr string.
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This was a challenge because it had to work in python2 and python3,
which have almost opposite unicode models, and I couldn't use the six
library. I'm also not sure the solution I found would work in python3
before python3.3, because I use the u'' string prefix which I think was
initially not part of python3.
2016-03-07 16:40:41 -08:00
dd28e28b34
Make a few stylistic improvements.
2016-03-07 10:10:54 -08:00
6f5e1e386a
Add a convenient and correct way to compare floats.
2016-03-07 10:10:54 -08:00
Anthony Sottile
Bruno Oliveira
Kale Kundert
abrammer
Marcelo Duarte Trevisani
Ronny Pfannschmidt
Tadeu Manoel
mike
hugovk
Andras Tim
Michal Wajszczuk