rmetric test failed on my machine

[Jerryzcn]

rmetric did not pass the test

FAIL: Loads the results from a matlab run and checks that our results

Traceback (most recent call last):
File "/home/jerry/anaconda/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/home/jerry/anaconda/lib/python2.7/site-packages/megaman/geometry/tests/test_rmetric.py", line 72, in test_equal_original
assert_allclose( Gtest, G, tol)
File "/home/jerry/anaconda/lib/python2.7/site-packages/numpy/testing/utils.py", line 1391, in assert_allclose
verbose=verbose, header=header)
File "/home/jerry/anaconda/lib/python2.7/site-packages/numpy/testing/utils.py", line 733, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Not equal to tolerance rtol=1.04681e+11, atol=0

(mismatch 0.25%)
x: array([[[ 3.104310e+15, 2.125112e+01],
[ 2.119583e+01, 5.400388e+01]],
...
y: array([[[ 4.421211e+15, 4.985776e+01],
[ 5.055786e+01, 5.400388e+01]],
...
-------------------- >> begin captured stdout << ---------------------
('phi.shape = ', (200, 2))
('G.shape = ', (200, 2, 2))
('H.shape = ', (200, 2, 2))
('L.shape = ', (200, 200))

--------------------- >> end captured stdout << ----------------------

---

Ran 140 tests in 7.220s

FAILED (failures=1)
make: *** [test] Error 1

[jmcq89]

I just pulled down a fresh clone of the master branch and ran all the test and they all passed.

Can you get a diff between when it passed for you and when it started failing? Nothing in those two recent merges ought to affect the rmetric code or the test function.

[Jerryzcn]

weird. I also cloned a fresh master branch.
I also have some warning before that. Do u have these warning?
cd /tmp/megaman && nosetests megaman
..................../home/jerry/anaconda/lib/python2.7/site-packages/megaman/utils/eigendecomp.py:177: UserWarning: AMG works better for sparse matrices
warnings.warn("AMG works better for sparse matrices")
/home/jerry/anaconda/lib/python2.7/site-packages/pyamg/aggregation/aggregation.py:214: SparseEfficiencyWarning: Implicit conversion of A to CSR
SparseEfficiencyWarning)
.../home/jerry/anaconda/lib/python2.7/site-packages/megaman/utils/eigendecomp.py:54: UserWarning: lobpcg does not perform well with small matrices or with large numbers of vectors. Switching to 'dense'
warnings.warn("lobpcg does not perform well with small matrices or "

......................................................................................................F..............

[jmcq89]

Yes I have those warnings. They're sparse efficiency warnings when computing the affinity matrix and a warning about the selected eigen solver.

I'm very curious why you seem to get a failure on the rmetric but I'm not getting it...

[Jerryzcn]

what blas are u using? I'm using openblas
scipy 0.17.1 np111py27_blas_openblas_200 [blas_openblas] conda-forge
numpy 1.11.0 py27_blas_openblas_200 [blas_openblas] conda-forge
nose 1.3.7 py27_1

[jmcq89]

I'm using anaconda

Here's the relevant package info from conda installation:

jmcq@spc114:~$ conda list

packages in environment at /home/jmcq/miniconda2:

nose 1.3.7 py27_0 defaults
numpy 1.10.4 py27_1 defaults
scipy 0.17.0 np110py27_2 defaults

[Jerryzcn]

@jmcq89 okay, i downgrade my numpy to 1.10 which does not use openblas, and the test passed.

[jakevdp]

Any idea why 1.11 is causing a failure?

[Jerryzcn]

Could be openblas, but i'm not sure right now. let's discuss on #60