<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def call_contract_function( web3, address, normalizers, function_identifier, transaction, block_id=None, contract_abi=None, fn_abi=None, *args, **kwargs):
 """ Helper function for interacting with a contract function using the `eth_call` API. """

    call_transaction = prepare_transaction(
        address,
        web3,
        fn_identifier=function_identifier,
        contract_abi=contract_abi,
        fn_abi=fn_abi,
        transaction=transaction,
        fn_args=args,
        fn_kwargs=kwargs,
    )

    if block_id is None:
        return_data = web3.eth.call(call_transaction)
    else:
        return_data = web3.eth.call(call_transaction, block_identifier=block_id)

    if fn_abi is None:
        fn_abi = find_matching_fn_abi(contract_abi, function_identifier, args, kwargs)

    output_types = get_abi_output_types(fn_abi)

    try:
        output_data = decode_abi(output_types, return_data)
    except DecodingError as e:
        # Provide a more helpful error message than the one provided by
        # eth-abi-utils
        is_missing_code_error = (
            return_data in ACCEPTABLE_EMPTY_STRINGS and
            web3.eth.getCode(address) in ACCEPTABLE_EMPTY_STRINGS
        )
        if is_missing_code_error:
            msg = (
                "Could not transact with/call contract function, is contract "
                "deployed correctly and chain synced?"
            )
        else:
            msg = (
                "Could not decode contract function call {} return data {} for "
                "output_types {}".format(
                    function_identifier,
                    return_data,
                    output_types
                )
            )
        raise BadFunctionCallOutput(msg) from e

    _normalizers = itertools.chain(
        BASE_RETURN_NORMALIZERS,
        normalizers,
    )
    normalized_data = map_abi_data(_normalizers, output_types, output_data)

    if len(normalized_data) == 1:
        return normalized_data[0]
    else:
        return normalized_data