Github user imatiach-msft commented on a diff in the pull request:
https://github.com/apache/spark/pull/20168#discussion_r160255996
--- Diff: python/pyspark/ml/tests.py ---
@@ -1843,6 +1844,28 @@ def tearDown(self):
class ImageReaderTest(SparkSessionTestCase):
+ def test_ocv_types(self):
+ ocvList = ImageSchema.ocvTypes
+ self.assertEqual("Undefined", ocvList[0].name)
+ self.assertEqual(-1, ocvList[0].mode)
+ self.assertEqual("N/A", ocvList[0].dataType)
+ for x in ocvList:
+ self.assertEqual(x, ImageSchema.ocvTypeByName(x.name))
+ self.assertEqual(x, ImageSchema.ocvTypeByMode(x.mode))
+
+ def test_conversions(self):
+ ary_src = [[[1e7*random.random() for z in range(4)] for y in
range(10)] for x in range(10)]
--- End diff --
can you pass a seed to the random generator (I believe the policy for spark
is to always generate the same random numbers in tests in order to reduce flaky
tests)
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