利用雪花算法生成的资源ID是否可以预测

import timeimport threadingclass SnowflakeGenerator:    def __init__(self, datacenter_id, worker_id):        self.datacenter_id = datacenter_id        self.worker_id = worker_id        self.sequence = 0        self.last_timestamp = -1        # Bit lengths for different parts        self.datacenter_id_bits = 5        self.worker_id_bits = 5        self.sequence_bits = 12        # Maximum values        self.max_datacenter_id = -1 ^ (-1 << self.datacenter_id_bits)        self.max_worker_id = -1 ^ (-1 << self.worker_id_bits)        self.max_sequence = -1 ^ (-1 << self.sequence_bits)        # Shift amounts        self.worker_id_shift = self.sequence_bits        self.datacenter_id_shift = self.sequence_bits + self.worker_id_bits        self.timestamp_shift = self.sequence_bits + self.worker_id_bits + self.datacenter_id_bits        self.lock = threading.Lock()    def _current_milliseconds(self):        return int(time.time() * 1000)    def _til_next_millis(self, last_timestamp):        timestamp = self._current_milliseconds()        while timestamp <= last_timestamp:            timestamp = self._current_milliseconds()        return timestamp    def generate_id(self):        with self.lock:            timestamp = self._current_milliseconds()            if timestamp < self.last_timestamp:                raise ValueError("Clock moved backwards. Refusing to generate id.")            if timestamp == self.last_timestamp:                self.sequence = (self.sequence + 1) & self.max_sequence                if self.sequence == 0:                    timestamp = self._til_next_millis(self.last_timestamp)            else:                self.sequence = 0            self.last_timestamp = timestamp            return ((timestamp - 1288834974657) << self.timestamp_shift) |                    (self.datacenter_id << self.datacenter_id_shift) |                    (self.worker_id << self.worker_id_shift) |                    self.sequencedef generate_unique_id(prefix: str, datacenter_id: int, worker_id: int) -> str:    generator = SnowflakeGenerator(datacenter_id, worker_id)    snowflake_id = generator.generate_id()    return f"{prefix}{snowflake_id}"# 创建一个生成器，指定数据中心ID和工作机器IDdatacenter_id = 0worker_id = 1# 生成用户IDuser_id = generate_unique_id("USER_", datacenter_id, worker_id)print(f"生成的用户ID: {user_id}")