list cant be passed as the parameter

從 docs/parameters.md 開始，針對 Databricks SQL Connector 4.0.0 執行提供的 Python 重現程式碼，重點關注清單值參數範例以及回報的型別推斷錯誤。追蹤文件所參照的參數處理進入點，然後使用回歸測試驗證預期行為；當文件中記載的清單參數案例表現一致，或文件明確說明其限制時，即視為完成。

Versions:
Python: 3.12
Databricks SQL Connector: 4.0.0
polars: 1.16.0

I am trying to pass list parametes as it was mentined in docs:
https://github.com/databricks/databricks-sql-python/blob/main/docs/parameters.md

Steps to reproduce:

1. Create and populate table:
   ` CREATE TABLE epam.base.tmp_params_table (
   product_code VARCHAR(15),
   qty int,
   BU VARCHAR(15)
   );

INSERT INTO epam.base.tmp_params_table (product_code, qty, BU)
VALUES
('prod_cd_1', 5, 'BU_1'),
('prod_cd_2', 4, 'BU_1'),
('prod_cd_3', 3, 'BU_1'),
('prod_cd_4', 3, 'BU_2'),
('prod_cd_5', 1, 'BU_2');`

2. Run queries using connector:
   `import polars as pl
   from configs.databricks_config import databricks_settings
   from databricks import sql
   from databricks.sql.parameters import StringParameter, IntegerParameter

query_params_list = [
[
"SELECT product_code, qty, BU from epam.base.tmp_params_table where product_code in (:product_code) and BU= :BU",
{"product_code": ["prod_cd_1", "prod_cd_2", "prod_cd_4"], "BU": ["BU_1"]},
],
[
"SELECT product_code, qty, BU from epam.base.tmp_params_table where product_code in (:product_code) and BU= :BU",
[
StringParameter(name="product_code", value="prod_cd_1, prod_cd_2, prod_cd_4"),
StringParameter(name="BU", value="BU_1"),
],
],
[
"SELECT product_code, qty, BU from epam.base.tmp_params_table where qty in %(:qty)s",
{"qty": [1, 2, 3]},
],
["SELECT product_code, qty, BU from :tab_name", {"tab_name": "epam.base.tmp_params_table"}],
]

with sql.connect(
server_hostname=databricks_settings.host,
http_path=databricks_settings.http_path,
access_token=databricks_settings.api_token,
) as connection:
with connection.cursor() as cursor:
for num, record in enumerate(query_params_list):
query, params = record
try:
cursor.execute(query, params)
table = cursor.fetchall_arrow()
res_df = pl.from_arrow(table)
print(num, res_df.shape, params)
except Exception as error:
print(num, error, params)`

and I see this error:
databricks.sql.exc.NotSupportedError: Could not infer parameter type from value: ['prod_cd_1', 'prod_cd_2', 'prod_cd_4'] - <class 'list'> Please specify the type explicitly.