I run the following code in Spyder IDE (Python 3.8):
import mpmath
mpmath.runtests()
I think that most of the tests passed, but I get 'Test failed'. Attached part of the output:
test_pickle
pickle ok 0.0648950 s
test_power
fractional_pow ok 0.0007822 s
pow_epsilon_rounding ok 0.0103981 s
pow_integer_direction ok 0.0193535 s
test_quad
basic_integrals ok 1.1562272 s
complex_integration ok 0.0056852 s
double_1 ok 0.3558573 s
double_2 ok 0.4513715 s
double_3 ok 0.6033714 s
double_4 ok 0.1894437 s
double_5 ok 0.1238344 s
double_6 ok 0.7316320 s
double_7 ok 5.4023527 s
double_trivial ok 0.0566362 s
expmath_fail
TEST FAILED!
ok 0.0425350 s
expmath_integrals Traceback (most recent call last):
File "C:\Users\elii\Anaconda3\envs\mpmath_gmpy2_env\lib\site-packages\mpmath\tests\runtests.py", line 118, in testit
module.__dict__[f]()
File "C:\Users\elii\Anaconda3\envs\mpmath_gmpy2_env\lib\site-packages\mpmath\tests\test_quad.py", line 88, in test_expmath_fail
assert ae(quadts(lambda x: sqrt(tan(x)), [0, pi/2]), pi*sqrt(2)/2)
AssertionError
ok 0.8399490 s
quad_infinite_mirror ok 0.0250090 s
quad_symmetry ok 0.0008955 s
quadgl_linear ok 0.0001940 s
quadosc ok 0.2904317 s
test_rootfinding
anewton ok 0.0040029 s
bisection ok 0.0002888 s
findroot ok 0.0401497 s
mnewton ok 0.0014225 s
muller ok 0.0079640 s
multidimensional ok 0.0322137 s
multiplicity ok 0.0027796 s
trivial ok 0.0001189 s
test_special
convert_special ok 0.0013397 s
div_bug ok 0.0000584 s
functions_special ok 0.0002212 s
special ok 0.0005193 s
special_powers ok 0.0000920 s
test_str
nstr ok 0.0011065 s
test_summation
fprod ok 0.0000991 s
fsum ok 0.0009620 s
nprod ok 0.0187528 s
nsum ok 0.1046476 s
sumem ok 0.0756396 s
test_trig
trig_misc_hard ok 0.0016346 s
trig_near_n_pi ok 0.0031282 s
trig_near_zero ok 0.0006552 s
test_visualization
axes
Skipping test (pylab not available or too old version)
ok 0.0048888 s
finished tests in 132.72 seconds
I tried searching the internet for what the problem might be, but unfortunately I did not find one. Does anyone know what the failure of the test is due to and what can be done to solve this problem?
Note: I worked on an Anaconda environment.
Thank you!
Tests decorated with @pytest.mark.xfail are expected to fail (see documentation), which is the case for this particular test. This can be used by the author(s) to document known limits/bugs and later used to test fixes.