Copilot commented on code in PR #50430:
URL: https://github.com/apache/arrow/pull/50430#discussion_r3631228596


##########
python/pyarrow/array.pxi:
##########
@@ -3551,6 +3615,57 @@ cdef class MapArray(ListArray):
     Concrete class for Arrow arrays of a map data type.
     """
 
+    cdef object _getitem_py(self, int64_t i, object maps_as_pydicts):
+        cdef CListArray* arr = <CListArray*> self.ap
+        cdef bint as_dicts = maps_as_pydicts is not None
+        if as_dicts and maps_as_pydicts != "lossy" and maps_as_pydicts != 
"strict":
+            # Matches MapScalar.as_py, which validates before the null check.
+            raise ValueError(
+                "Invalid value for 'maps_as_pydicts': "
+                + "valid values are 'lossy', 'strict' or `None` (default). "
+                + f"Received {maps_as_pydicts!r}."
+            )
+        if arr.IsNull(i):
+            return None
+        if self._children_cache is None:
+            self._children_cache = (self.keys, self.items)
+        cdef Array keys = <Array> (<tuple> self._children_cache)[0]
+        cdef Array items = <Array> (<tuple> self._children_cache)[1]
+        cdef int64_t j, start = arr.value_offset(i), end = arr.value_offset(i 
+ 1)
+        if not as_dicts:
+            # Matches MapScalar.as_py with the default maps_as_pydicts=None:
+            # an association list of (key, value) tuples.
+            return [
+                (keys._getitem_py(j, None), items._getitem_py(j, 
maps_as_pydicts))
+                for j in range(start, end)
+            ]
+        # Convert all keys first (as MapScalar.as_py does via keys()) and
+        # detect duplicates before converting any value, so that the 'lossy'
+        # warnings and the 'strict' KeyError are emitted at the same point as
+        # in MapScalar.as_py even when a later value conversion raises.
+        cdef int64_t count = end - start
+        cdef list keys_py = [keys._getitem_py(j, None) for j in range(start, 
end)]
+        cdef dict result = {}
+        cdef int64_t k
+        if len(set(keys_py)) == count:
+            for k in range(count):
+                result[keys_py[k]] = items._getitem_py(start + k, 
maps_as_pydicts)
+            return result
+        # Duplicate keys: per-key loop matching MapScalar.as_py exactly.
+        for k in range(count):
+            key = keys_py[k]
+            if key in result:
+                if maps_as_pydicts == "strict":
+                    raise KeyError(
+                        "Converting to Python dictionary is not supported in 
strict mode "
+                        f"when duplicate keys are present (duplicate key was 
'{key}')."
+                    )
+                else:
+                    warnings.warn(
+                        f"Encountered key '{key}' which was already 
encountered.")
+            result[key] = items._getitem_py(start + k, maps_as_pydicts)
+        return result

Review Comment:
   `len(set(keys_py))` can raise `TypeError` for unhashable keys (e.g., map key 
types whose `as_py` returns dict/list). Because `pa.map_` allows arbitrary 
non-nullable key types (see `python/pyarrow/types.pxi:5212-5219`), this 
fast-path can change semantics vs `MapScalar.as_py`: if duplicate keys occur 
before an unhashable key later in the row, the scalar path raises/warns on the 
duplicate *before* hitting the unhashable key, but the `set()` construction 
will fail first. Consider catching `TypeError` from `set(keys_py)` and falling 
back to the per-key loop so duplicate-key semantics remain identical in these 
cases.



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