dependency updates and fix for lazy attribute accessors

Author: evertlammerts

pyproject.toml

@@ -234,7 +234,8 @@ stubdeps = [ # dependencies used for typehints in the stubs
     "typing-extensions",
 ]
 test = [ # dependencies used for running tests
-    "adbc-driver-manager; sys_platform != 'win32' or platform_machine != 'ARM64'",
+    "adbc-driver-manager>=1.10.0; python_version >= '3.10' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
+    "adbc-driver-manager>=1.7.0; python_version < '3.10' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
     "pytest",
     "pytest-reraise",
     "pytest-timeout",
@@ -252,8 +253,10 @@ test = [ # dependencies used for running tests
     "requests",
     "urllib3",
     "fsspec>=2022.11.0; sys_platform != 'win32' or platform_machine != 'ARM64'",
-    "pandas>=2.0.0",
-    "pyarrow>=18.0.0; sys_platform != 'win32' or platform_machine != 'ARM64'",
+    "pandas>=3.0.0; python_version > '3.10'",
+    "pandas<3.0.0; python_version < '3.11'",
+    "pyarrow>=23.0.0; python_version >= '3.10' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
+    "pyarrow>=18.0.0; python_version < '3.10' and (sys_platform != 'win32' or platform_machine != 'ARM64')",
     "torch>=2.2.2; python_version < '3.14' and ( sys_platform != 'darwin' or platform_machine != 'x86_64' or python_version < '3.13' ) and ( sys_platform != 'win32' or platform_machine != 'ARM64' or python_version > '3.11' )",
     "tensorflow==2.14.0; sys_platform == 'darwin' and python_version < '3.12'",
     "tensorflow-cpu>=2.14.0; sys_platform == 'linux' and platform_machine != 'aarch64' and python_version < '3.12'",

src/duckdb_py/pyresult.cpp

@@ -304,7 +304,7 @@ void DuckDBPyResult::ConvertDateTimeTypes(PandasDataFrame &df, bool date_as_obje
 			// We need to create the column anew because the exact dt changed to a new timezone
 			ReplaceDFColumn(df, names[i].c_str(), i, new_value);
 		} else if (date_as_object && result->types[i] == LogicalType::DATE) {
-			auto new_value = df[names[i].c_str()].attr("dt").attr("date");
+			py::object new_value = df[names[i].c_str()].attr("dt").attr("date");
 			ReplaceDFColumn(df, names[i].c_str(), i, new_value);
 		}
 	}