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     new b4bf9ec065bf [SPARK-46269][PS] Enable more NumPy compatibility 
function tests
b4bf9ec065bf is described below

commit b4bf9ec065bf3538e3780a833b6c5dec7b602cf2
Author: Haejoon Lee <haejoon....@databricks.com>
AuthorDate: Tue Dec 5 08:33:38 2023 -0800

    [SPARK-46269][PS] Enable more NumPy compatibility function tests
    
    ### What changes were proposed in this pull request?
    
    This PR proposes to enable NumPy compatibility function tests for `arccos`, 
`exp`, `expm1` and `floor_divide`.
    
    ### Why are the changes needed?
    
    To improve the test coverage for NumPy compatibility function.
    
    ### Does this PR introduce _any_ user-facing change?
    
    No, this improves the test coverage.
    
    ### How was this patch tested?
    
    The existing CI should pass. For flaky tests, manually ran 50 times on 
local envs.
    
    ### Was this patch authored or co-authored using generative AI tooling?
    
    No.
    
    Closes #44186 from itholic/enable_numpy_tests.
    
    Authored-by: Haejoon Lee <haejoon....@databricks.com>
    Signed-off-by: Dongjoon Hyun <dh...@apple.com>
---
 python/pyspark/pandas/tests/test_numpy_compat.py | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/python/pyspark/pandas/tests/test_numpy_compat.py 
b/python/pyspark/pandas/tests/test_numpy_compat.py
index 986083d0d3af..931e5475c36f 100644
--- a/python/pyspark/pandas/tests/test_numpy_compat.py
+++ b/python/pyspark/pandas/tests/test_numpy_compat.py
@@ -26,21 +26,17 @@ from pyspark.testing.sqlutils import SQLTestUtils
 
 class NumPyCompatTestsMixin:
     blacklist = [
-        # Koalas does not currently support
+        # Pandas-on-Spark does not currently support
         "conj",
         "conjugate",
         "isnat",
         "matmul",
         "frexp",
         # Values are close enough but tests failed.
-        "arccos",
-        "exp",
-        "expm1",
         "log",  # flaky
         "log10",  # flaky
         "log1p",  # flaky
         "modf",
-        "floor_divide",  # flaky
     ]
 
     @property


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