Insert int data which is out of datatype limit can be inserted successfully, without data check

[flyly0755]

Describe the bug

from sqlalchemy import Column, create_engine
from clickhouse_sqlalchemy import engines, types
from clickhouse_sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy import insert as sainsert

ChBase = declarative_base()

class Uint16Table(ChBase):
    id = Column(types.UInt16, primary_key=True)
    intvalue = Column(types.UInt16)

    __tablename__ = 'Uint16Table'
    __table_args__ = (
        engines.MergeTree(order_by=('id',),
                          primary_key=('id',)),
        {'comment': 'Uint16 Table'}
    )

#clickhouse machine info
ckuser = "xxx"
ckpwd = "xxx"
ckip = "xxx"
ckport = "xxx"
ckdbname = 'xxx'

uri = f"clickhouse://{ckuser}:{ckpwd}@" \
      f"{ckip}:{ckport}/{ckdbname}"
engine = create_engine(uri, echo=False)
DBsession = sessionmaker(bind=engine)
session = DBsession()
print(session)
session.execute('SELECT 1')
# Uint16Table.__table__.create(engine)
# session.close()

datalist = [{'id': 1, 'intvalue': 65534},
            {'id': 2, 'intvalue': 65535},
            {'id': 3, 'intvalue': 65536},  # 65536 is bigger than uint16 upper limit(65535), after insert, the value in database is 0
            {'id': 4, 'intvalue': 65537}   # 65537 is bigger than uint16 upper limit(65535), after insert, the value in database is 1
            ]
# session.bulk_insert_mappings(Uint16Table, datalist)
session.execute(sainsert(Uint16Table), datalist)
session.commit()
session.close()

With code as above, use bulk_insert_mappings or execute method both can run successfully, although store value is wrong(65536 stored as 0, 65537 as 1),
Compare with postgres database, which will raise error:

sqlalchemy.exc.DataError: (psycopg2.errors.NumericValueOutOfRange) smallint out of range

Seems like clickhouse-sqlalchemy doesn't check the value

To Reproduce
code as above

Expected behavior
check the value fisrt, if value out of range, will raise error.

Versions
clickhouse-sqlalchemy==0.2.3
SQLAlchemy==1.4.8

• Version of package with the problem.
• Python version.
  python 3.11