raulcd opened a new issue, #44728:
URL: https://github.com/apache/arrow/issues/44728

   ### Describe the bug, including details regarding any error messages, 
version, and platform.
   
   Several jobs:
   - 
[test-conda-python-3.11-pandas-latest-numpy-latest](https://github.com/ursacomputing/crossbow/actions/runs/11828349186/job/32958314120)
   - 
[test-conda-python-3.11-pandas-nightly-numpy-nightly](https://github.com/ursacomputing/crossbow/actions/runs/11828349115/job/32958313895)
   - 
[test-conda-python-3.11-pandas-upstream_devel-numpy-nightly](https://github.com/ursacomputing/crossbow/actions/runs/11828349135/job/32958313913)
   - 
[test-conda-python-3.9](https://github.com/ursacomputing/crossbow/actions/runs/11828348756/job/32958278950)
   
   are failing for the `test_dlpack` test with some variants of:
   ```
    ________________________ test_dlpack[value_type6-int32] 
________________________
   
   args = (), kwargs = {'np_type_str': 'int32', 'value_type': DataType(int32)}
   allocated_bytes = 7440
   @py_assert1 = <cyfunction total_allocated_bytes at 0x7fc798db2b70>
   @py_assert3 = 3728, @py_assert5 = False
   @py_format7 = '3728\n{3728 = <cyfunction total_allocated_bytes at 
0x7fc798db2b70>\n{<cyfunction total_allocated_bytes at 0x7fc798db2b70> = 
pa.total_allocated_bytes\n}()\n} == 7440'
   @py_format9 = 'assert 3728\n{3728 = <cyfunction total_allocated_bytes at 
0x7fc798db2b70>\n{<cyfunction total_allocated_bytes at 0x7fc798db2b70> = 
pa.total_allocated_bytes\n}()\n} == 7440'
   
       @wraps(f)
       def wrapper(*args, **kwargs):
           allocated_bytes = pa.total_allocated_bytes()
           try:
               return f(*args, **kwargs)
           finally:
   >           assert pa.total_allocated_bytes() == allocated_bytes
   E           assert 3728 == 7440
   E            +  where 3728 = <cyfunction total_allocated_bytes at 
0x7fc798db2b70>()
   E            +    where <cyfunction total_allocated_bytes at 0x7fc798db2b70> 
= pa.total_allocated_bytes
   ```
   
   ### Component(s)
   
   Continuous Integration, Python


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