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In this PR, a few test related to
dpnp.argsort
are updated.dpnp.argsort
output is always "stable" (which means the returned indices must maintain the relative order of input values which compare as equal) but forNumPy
its not necessary "stable".In the updated tests, random floating numbers are generated, and when their data type is changed to integer type to align with requested data type of the test, we may encounter with repetitive numbers in the input array for which "stable" condition plays a role.
"stable" flag is added to the tests to make sure
NumPy
also always returns the stable result.