BUG: fix TypeError raised in maybe_downcast_numeric

pandas/core/dtypes/cast.py

@@ -202,7 +202,7 @@ def trans(x):
         r = result.ravel()
         arr = np.array([r[0]])
 
-        if isna(arr).any() or not np.allclose(arr, trans(arr).astype(dtype), rtol=0):
+        if isna(arr).any():
             # if we have any nulls, then we are done
             return result
 

pandas/core/groupby/generic.py

@@ -261,7 +261,7 @@ def aggregate(self, func=None, *args, **kwargs):
 
             try:
                 return self._python_agg_general(func, *args, **kwargs)
-            except AssertionError:
+            except (AssertionError, TypeError):
                 raise
             except Exception:
                 result = self._aggregate_named(func, *args, **kwargs)

pandas/tests/dtypes/cast/test_downcast.py

@@ -1,3 +1,5 @@
+import decimal
+
 import numpy as np
 import pytest
 
@@ -25,6 +27,13 @@
             "infer",
             np.array([8, 8, 8, 8, 9], dtype=np.int64),
         ),
+        (
+            # This is a judgement call, but we do _not_ downcast Decimal
+            #  objects
+            np.array([decimal.Decimal(0.0)]),
+            "int64",
+            np.array([decimal.Decimal(0.0)]),
+        ),
     ],
 )
 def test_downcast(arr, expected, dtype):