message: Keep dtm warnings test for "hnsw"
diff: @@ -13,7 +13,7 @@ import numpy
  import pytest
  import torch
  import math
  -#import warnings # used in test_dtm_overflow_warnings
  +import warnings
  def test_dtm_compare_euclidean():
  @@ -89,16 +89,13 @@ def test_density():
  density = DTMDensity(weights=[0.5, 0.5], metric="neighbors", dim=1).fit_transform(distances)
  assert density == pytest.approx(expected)
  -# 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"]
  +def test_dtm_overflow_warnings():
  + pts = numpy.array([[10., 100000000000000000000000000000.], [1000., 100000000000000000000000000.]])
  - #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:
  + # TODO Test "keops" implementation as well when next version of pykeops (current is 1.5) is released (should fix the problem (cf. issue #543))
  + dtm = DistanceToMeasure(2, q=10000, implementation="hnsw")
  + r = dtm.fit_transform(pts)
  + assert len(w) == 1
  + assert issubclass(w[0].category, RuntimeWarning)
  + assert "Overflow" in str(w[0].message)
  