Question
I am writing python tests with unittest and running the tests from the command line with
https://stackoverflow.com/questions/23225057
italiano
english
français
española
中国
日本の
العربية
Deutsch
한국어
Português
Russian nosetests --with-coverage -x
When I include numpy in one of my tests it tries to test the numpy packages as well. Example output:
...
Name Stmts Miss Cover Missing
-------------------------------------------------------------
CLOCK 39 33 15% 3, 7-13, 17, 20-25, 28-47
LFU 42 1 98% 52
LRU 95 9 91% 12, 64, 68, 101, 115-118, 131
LRU10 54 1 98% 68
LRU3 54 1 98% 68
argparse 1177 1177 0% 3-2361
cache 86 33 62% 36-47, 86-89, 95-116
common 87 54 38% 17, 20, 23, 28, 31-32, 35-36, 39, 42, 46, 48, 50, 52, 54, 57-64, 67-68, 72-89, 95-96, 102-107, 112-118, 123
ctypes 341 341 0% 4-555
ctypes._endian 35 35 0% 4-64
numpy 56 56 0% 107-197
numpy.__config__ 27 27 0% 3-32
numpy._import_tools 224 224 0% 1-348
numpy.add_newdocs 275 275 0% 11-7459
numpy.compat 8 8 0% 11-20
numpy.compat._inspect 106 106 0% 8-221
numpy.compat.py3k 57 57 0% 5-89
numpy.core 56 56 0% 1-74
numpy.core._internal 350 350 0% 7-570
numpy.core._methods 72 72 0% 6-130
numpy.core.arrayprint 354 354 0% 6-752
numpy.core.defchararray 364 364 0% 18-2686
numpy.core.fromnumeric 310 310 0% 4-2918
numpy.core.function_base 24 24 0% 1-173
numpy.core.getlimits 132 132 0% 4-306
numpy.core.info 3 3 0% 84-87
numpy.core.machar 186 186 0% 8-338
numpy.core.memmap 83 83 0% 1-305
numpy.core.numeric 523 523 0% 1-2730
numpy.core.numerictypes 381 381 0% 83-1035
numpy.core.records 356 356 0% 37-808
numpy.core.shape_base 50 50 0% 1-277
numpy.ctypeslib 187 187 0% 52-426
numpy.fft 7 7 0% 1-11
numpy.fft.fftpack 109 109 0% 33-1119
numpy.fft.helper 51 51 0% 5-223
numpy.fft.info 2 2 0% 177-179
numpy.lib 38 38 0% 1-45
numpy.lib._datasource 178 178 0% 34-656
numpy.lib._iotools 372 372 0% 4-874
numpy.lib.arraypad 383 383 0% 6-1469
numpy.lib.arraysetops 98 98 0% 27-450
numpy.lib.arrayterator 72 72 0% 10-224
numpy.lib.financial 112 112 0% 11-735
numpy.lib.format 178 178 0% 137-614
numpy.lib.function_base 889 889 0% 1-3555
numpy.lib.index_tricks 250 250 0% 1-849
numpy.lib.info 3 3 0% 148-151
numpy.lib.nanfunctions 138 138 0% 17-838
numpy.lib.npyio 729 729 0% 1-1899
numpy.lib.polynomial 386 386 0% 5-1266
numpy.lib.scimath 55 55 0% 18-560
numpy.lib.shape_base 200 200 0% 1-834
numpy.lib.stride_tricks 48 48 0% 8-121
numpy.lib.twodim_base 116 116 0% 4-929
numpy.lib.type_check 104 104 0% 4-605
numpy.lib.ufunclike 23 23 0% 6-177
numpy.lib.utils 517 517 0% 1-1134
numpy.linalg 6 6 0% 45-54
numpy.linalg.info 2 2 0% 35-37
numpy.linalg.linalg 530 530 0% 11-2131
numpy.ma 15 15 0% 39-58
numpy.ma.core 2324 2324 0% 23-7243
numpy.ma.extras 610 610 0% 11-1885
numpy.matrixlib 6 6 0% 4-12
numpy.matrixlib.defmatrix 286 286 0% 1-1094
numpy.polynomial 11 11 0% 16-29
numpy.polynomial.chebyshev 432 432 0% 88-2015
numpy.polynomial.hermite 382 382 0% 60-1750
numpy.polynomial.hermite_e 379 379 0% 60-1746
numpy.polynomial.laguerre 379 379 0% 60-1742
numpy.polynomial.legendre 386 386 0% 84-1768
numpy.polynomial.polynomial 302 302 0% 56-1493
numpy.polynomial.polytemplate 4 4 0% 12-17
numpy.polynomial.polyutils 67 67 0% 34-384
numpy.random 13 13 0% 89-114
numpy.random.info 3 3 0% 85-89
numpy.version 7 7 0% 3-10
statistics 19 2 89% 24-25
statistics.countingghost 84 44 48% 43-60, 66-69, 75-80, 83-89, 93-104, 107, 110-113
statistics.rounder 89 17 81% 29, 40, 70-83, 112-113
-------------------------------------------------------------
TOTAL 17686 17145 3%
----------------------------------------------------------------------
Ran 3 tests in 3.279s
OK
How can I correctly ignore the numpy tests with the -I -m or -e parameters? I could pipe this to grep -v numpy but that is not cool.
Solution
There is a nose plugin specifically for the task - nose-exclude:
nose-exclude is a Nose plugin that allows you to easily specify directories to be excluded from testing.
Another option is to specify omit configuration parameter in .coveragerc file:
omit (multi-string): a list of filename patterns, the files to leave out of measurement or reporting.
See also: How to exclude mock package from python coverage report using nosetests
OTHER TIPS
You can also specify which package you'd like to run tests for when you call nose with the --cover-package flag.
nosetests --with-coverage --cover-package=the-name-of-your-package -x
