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chore: Fix compatibility tests (#2685)

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* chore: Fix compatibility tests

* DEBUGGGG

* fix: update deps, fix unit tests

* fix: FE deps

* chore: update compatibility matrix

---------

Co-authored-by: kaloster <rkalo@contractor.chanzuckerberg.com>
This commit is contained in:
Timmy Huang
2024-09-05 09:26:40 -07:00
committed by GitHub
co-authored by kaloster
parent 4281a8f816
commit 7bf5add6ef
10 changed files with 21475 additions and 358 deletions
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test/unit/compute/test_est_dist.py
+10 -10
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@@ -65,13 +65,13 @@ class EstDistTest(unittest.TestCase):
# non-finites
self.assertEqual(estimate_approximate_distribution(np.array([np.nan])), XApproximateDistribution.NORMAL)
self.assertEqual(estimate_approximate_distribution(np.array([np.PINF])), XApproximateDistribution.NORMAL)
self.assertEqual(estimate_approximate_distribution(np.array([np.NINF])), XApproximateDistribution.NORMAL)
self.assertEqual(estimate_approximate_distribution(np.array([np.inf])), XApproximateDistribution.NORMAL)
self.assertEqual(estimate_approximate_distribution(np.array([np.inf])), XApproximateDistribution.NORMAL)
self.assertEqual(
estimate_approximate_distribution(np.array([np.PINF, np.NINF, 0])), XApproximateDistribution.NORMAL
estimate_approximate_distribution(np.array([np.inf, np.inf, 0])), XApproximateDistribution.NORMAL
)
self.assertEqual(
estimate_approximate_distribution(np.array([np.nan, np.PINF, np.NINF])), XApproximateDistribution.NORMAL
estimate_approximate_distribution(np.array([np.nan, np.inf, np.inf])), XApproximateDistribution.NORMAL
)
raw = np.random.exponential(scale=1000, size=(50, 3))
@@ -82,15 +82,15 @@ class EstDistTest(unittest.TestCase):
XApproximateDistribution.COUNT,
)
self.assertEqual(
estimate_approximate_distribution(put(raw, [1], [np.PINF])),
estimate_approximate_distribution(put(raw, [1], [np.inf])),
XApproximateDistribution.COUNT,
)
self.assertEqual(
estimate_approximate_distribution(put(raw, [1], [np.NINF])),
estimate_approximate_distribution(put(raw, [1], [np.inf])),
XApproximateDistribution.COUNT,
)
self.assertEqual(
estimate_approximate_distribution(put(raw, [1, 3, 88], [np.nan, np.PINF, np.NINF])),
estimate_approximate_distribution(put(raw, [1, 3, 88], [np.nan, np.inf, np.inf])),
XApproximateDistribution.COUNT,
)
self.assertEqual(
@@ -103,15 +103,15 @@ class EstDistTest(unittest.TestCase):
XApproximateDistribution.NORMAL,
)
self.assertEqual(
estimate_approximate_distribution(put(logged, [1], [np.PINF])),
estimate_approximate_distribution(put(logged, [1], [np.inf])),
XApproximateDistribution.NORMAL,
)
self.assertEqual(
estimate_approximate_distribution(put(logged, [1], [np.NINF])),
estimate_approximate_distribution(put(logged, [1], [np.inf])),
XApproximateDistribution.NORMAL,
)
self.assertEqual(
estimate_approximate_distribution(put(logged, [1, 3, 88], [np.nan, np.PINF, np.NINF])),
estimate_approximate_distribution(put(logged, [1, 3, 88], [np.nan, np.inf, np.inf])),
XApproximateDistribution.NORMAL,
)
self.assertEqual(