message: Disable test of dtm warnings until next version of pykeops is released (cf. issue
diff: @@ -13,7 +13,7 @@ import numpy
  import pytest
  import torch
  import math
  -import warnings
  +#import warnings # used in test_dtm_overflow_warnings
  def test_dtm_compare_euclidean():
  @@ -89,15 +89,16 @@ def test_density():
  density = DTMDensity(weights=[0.5, 0.5], metric="neighbors", dim=1).fit_transform(distances)
  assert density == pytest.approx(expected)
  -def test_dtm_overflow_warnings():
  - pts = numpy.array([[10., 100000000000000000000000000000.], [1000., 100000000000000000000000000.]])
  - impl_warn = ["keops", "hnsw"]
  +# TODO Uncomment this test when next version of pykeops (current is 1.5) is released (should fix the problem (cf. issue #543))
  +#def test_dtm_overflow_warnings():
  + #pts = numpy.array([[10., 100000000000000000000000000000.], [1000., 100000000000000000000000000.]])
  + #impl_warn = ["keops", "hnsw"]
  - with warnings.catch_warnings(record=True) as w:
  - for impl in impl_warn:
  - dtm = DistanceToMeasure(2, q=10000, implementation=impl)
  - r = dtm.fit_transform(pts)
  - assert len(w) == 2
  - for i in range(len(w)):
  - assert issubclass(w[i].category, RuntimeWarning)
  - assert "Overflow" in str(w[i].message)
  + #with warnings.catch_warnings(record=True) as w:
  + #for impl in impl_warn:
  + #dtm = DistanceToMeasure(2, q=10000, implementation=impl)
  + #r = dtm.fit_transform(pts)
  + #assert len(w) == 2
  + #for i in range(len(w)):
  + #assert issubclass(w[i].category, RuntimeWarning)
  + #assert "Overflow" in str(w[i].message)
  