def choice(self, seq):
"""Choose a random element from a non-empty sequence."""
- if not seq:
+
+ # As an accommodation for NumPy, we don't use "if not seq"
+ # because bool(numpy.array()) raises a ValueError.
+ if not len(seq):
raise IndexError('Cannot choose from an empty sequence')
return seq[self._randbelow(len(seq))]
self.assertEqual(choice([50]), 50)
self.assertIn(choice([25, 75]), [25, 75])
+ def test_choice_with_numpy(self):
+ # Accommodation for NumPy arrays which have disabled __bool__().
+ # See: https://github.com/python/cpython/issues/100805
+ choice = self.gen.choice
+
+ class NA(list):
+ "Simulate numpy.array() behavior"
+ def __bool__(self):
+ raise RuntimeError
+
+ with self.assertRaises(IndexError):
+ choice(NA([]))
+ self.assertEqual(choice(NA([50])), 50)
+ self.assertIn(choice(NA([25, 75])), [25, 75])
+
def test_sample(self):
# For the entire allowable range of 0 <= k <= N, validate that
# the sample is of the correct length and contains only unique items