BUG: pd.eval with engine="numexpr" fails with float division

pandas/core/computation/align.py

@@ -213,7 +213,7 @@ def reconstruct_object(typ, obj, axes, dtype, name):
     if hasattr(res_t, "type") and typ == np.bool_ and res_t != np.bool_:
         ret_value = res_t.type(obj)
     else:
-        ret_value = typ(obj).astype(res_t)
+        ret_value = res_t.type(obj)
         # The condition is to distinguish 0-dim array (returned in case of
         # scalar) and 1 element array
         # e.g. np.array(0) and np.array([0])

pandas/tests/computation/test_eval.py

@@ -1998,3 +1998,11 @@ def test_validate_bool_args(value):
     msg = 'For argument "inplace" expected type bool, received type'
     with pytest.raises(ValueError, match=msg):
         pd.eval("2+2", inplace=value)
+
+
+@td.skip_if_no("numexpr")
+def test_eval_float_div_numexpr():
+    # GH59736
+    result = pd.eval("1 / 2", engine="numexpr")
+    expected = 0.5
+    assert result == expected