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jleinonen / pytmatrix

Python code for T-matrix scattering calculations
MIT License
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Roundoff error during test_adaptive_orient #27

Closed ByeonghoAhn closed 2 years ago

ByeonghoAhn commented 2 years ago

Hello,

I would like to inform you that while running "test_tmatrix.run_tests()", I have got the following warning:

test_adaptive_orient (pytmatrix.test.test_tmatrix.TMatrixTests) Test an adaptive orientation averaging case ... C:\ProgramData\Anaconda3\lib\site-packages\scipy\integrate\quadpack.py:879: IntegrationWarning: The integral is probably divergent, or slowly convergent. quad_r = quad(f, low, high, args=args, full_output=self.full_output, C:\ProgramData\Anaconda3\lib\site-packages\scipy\integrate\quadpack.py:879: IntegrationWarning: The algorithm does not converge. Roundoff error is detected in the extrapolation table. It is assumed that the requested tolerance cannot be achieved, and that the returned result (if full_output = 1) is the best which can be obtained. quad_r = quad(f, low, high, args=args, full_output=self.full_output, ok

I reported it here, as I am not sure whether this waring is expected.

Best, BA

jleinonen commented 2 years ago

Hi BA,

Thanks for the report. Does this cause the test to fail? If not, everything should be ok. I haven't seen this message before but something may have changed in the SciPy integration routines.

ByeonghoAhn commented 2 years ago

Hello Mr. Leinonen,

Thank you for the response. The test succeeded: I got the "ok" at the end of the warning. Okay, then I'll not worry about the error. You can close the issue. I wish you a good day.

Best, BA