addressing comments

Author: kastkeepitjumpinlikekangaroos

pandas/tests/io/test_sql.py

@@ -4361,38 +4361,34 @@ def test_xsqlite_if_exists(sqlite_buildin):
 
 
 @pytest.mark.parametrize("con", all_connectable)
-@pytest.mark.parametrize("dtype_backend", ["pyarrow", "numpy_nullable", lib.no_default])
 def test_bytes_column(con, dtype_backend, request):
     # GitHub Issue #59242
     conn = request.getfixturevalue(con)
     pa = pytest.importorskip("pyarrow")
 
-    dtype = "O"
     val = b"\x01#Eg\x89\xab\xcd\xef\x01#Eg\x89\xab\xcd\xef"
-
     if "postgres" in con:
-        val = (
-            b"\x00\x00\x00\x80\x01#Eg\x89\xab\xcd\xef\x01#Eg\x89\xab\xcd\xef"
-            if "adbc" in con
-            else "0000000100100011010001010110011110001001101010"
-            "11110011011110111100000001001000110100010101100"
-            "11110001001101010111100110111101111"
-        )
-        if dtype_backend == "pyarrow":
-            dtype = (
-                pd.ArrowDtype(pa.string())
-                if "adbc" not in con
-                else pd.ArrowDtype(pa.opaque(pa.binary(), "bit", "PostgreSQL"))
+        if "adbc" in con:
+            val = b"\x00\x00\x00\x80\x01#Eg\x89\xab\xcd\xef\x01#Eg\x89\xab\xcd\xef"
+        else:
+            val = (
+                "0000000100100011010001010110011110001001101010"
+                "11110011011110111100000001001000110100010101100"
+                "11110001001101010111100110111101111"
             )
 
-        if "psycopg2" in con:
+    if dtype_backend == "pyarrow":
+        dtype = pd.ArrowDtype(pa.binary())
+        if "postgres" in con:
+            if "adbc" in con:
+                dtype = pd.ArrowDtype(pa.opaque(pa.binary(), "bit", "PostgreSQL"))
+            else:
+                dtype = pd.ArrowDtype(pa.string())
+    else:
+        dtype = "O"
+        if "postgres" in con and "psycopg2" in con:
             if dtype_backend == "numpy_nullable":
                 dtype = pd.StringDtype()
-            elif dtype_backend == lib.no_default and pd.options.future.infer_string:
-                dtype = pd.StringDtype(storage="pyarrow", na_value=np.nan)
-
-    if "postgres" not in con and dtype_backend == "pyarrow":
-        dtype = pd.ArrowDtype(pa.binary())
 
     expected = DataFrame([{"a": val}], dtype=dtype)
     df = pd.read_sql(