test default windows int

Signed-off-by: Niels Bantilan <[email protected]>

Author: cosmicBboy

pandera/engines/pandas_engine.py

@@ -273,11 +273,9 @@ def _register_numpy_numbers(
 
     builtin_type = getattr(builtins, builtin_name, None)  # uint doesn't exist
 
-    # default to int64 regardless of OS
-    default_pd_dtype = {
-        "int": np.dtype("int64"),
-        "uint": np.dtype("uint64"),
-    }.get(builtin_name, pd.Series([1], dtype=builtin_name).dtype)
+    # use OS-specific type for integers. This will be int32 for Windows, int64
+    # for other systems.
+    default_int_dtype = pd.Series([1], dtype=builtin_name).dtype
 
     for bit_width in sizes:
         # e.g.: numpy.int64
@@ -292,10 +290,10 @@ def _register_numpy_numbers(
             )
         )
 
-        if np_dtype == default_pd_dtype:
+        if np_dtype == default_int_dtype:
             equivalents |= set(
                 (
-                    default_pd_dtype,
+                    default_int_dtype,
                     builtin_name,
                     getattr(dtypes, pandera_name),
                     getattr(dtypes, pandera_name)(),

tests/core/test_dtypes.py

@@ -5,6 +5,7 @@
 import dataclasses
 import datetime
 import inspect
+import platform
 import re
 import sys
 from decimal import Decimal
@@ -507,6 +508,10 @@ def test_default_numeric_dtypes():
         == pandas_engine.Engine.dtype(int)
         == pandas_engine.Engine.dtype("int")
     )
+    if platform.system() == "Windows":
+        assert default_int_dtype == np.dtype("int32")
+    else:
+        assert default_int_dtype == np.dtype("int64")
 
     default_float_dtype = pd.Series([1.0]).dtype
     assert (