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fix for incorrect stats computation in diff exp t-test (#2318)

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* 2211 fixes

* lint

* lint

* add missing test and bug found by test

* change terminology for count distribution

* update scanpy requirement

* update scanpy requirement
This commit is contained in:
Bruce Martin
2021-07-23 11:36:26 -07:00
committed by GitHub
parent 1ebde2213d
commit 1ea2b7fe80
28 changed files with 336 additions and 90 deletions
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backend/test/test_common/unit/utils/test_type_conversion_utils.py
+3 -3
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@@ -70,21 +70,21 @@ class TestTypeConversionUtils(unittest.TestCase):
self.assertFalse(can_cast)
def test__can_cast_to_int32__int64_is_true(self):
array_to_convert = Series(data=["1", "2", "3"], dtype=np.dtype(np.int64))
array_to_convert = Series(data=[1, 2, 3], dtype=np.dtype(np.int64))
can_cast = can_cast_to_int32(array_to_convert.dtype, array_to_convert)
self.assertTrue(can_cast)
def test__can_cast_to_int32__int16_is_true(self):
array_to_convert = Series(data=["1", "2", "3"], dtype=np.dtype(np.int16))
array_to_convert = Series(data=[1, 2, 3], dtype=np.dtype(np.int16))
can_cast = can_cast_to_int32(array_to_convert.dtype, array_to_convert)
self.assertTrue(can_cast)
def test__can_cast_to_int32__int64_with_large_value_is_false(self):
array_to_convert = Series(data=["3000000000", "2", "3"], dtype=np.dtype(np.int64))
array_to_convert = Series(data=[3000000000, 2, 3], dtype=np.dtype(np.int64))
can_cast = can_cast_to_int32(array_to_convert.dtype, array_to_convert)