goCopy code package main import "fmt" // 评论结构 type Comment struct { Content string Replies...} func main() { // 构建评论盖楼 rootComment := Comment{ Content: "Root Comment", Replies...{Content: "Reply 2"}, { Content: "Reply 3", Replies...2.1"}, {"name": "Item 2.2"} ] } ] } 评论盖楼数据: { "content": "Root Comment", "replies...[ {"content": "Reply 1"}, {"content": "Reply 2"}, { "content": "Reply 3", "replies
此外,我们的组件希望在它被引用的任何地方都能将comment 和 replies 的 props 传递给它。..." v-if="replies.length"> replies" :key="index"> <recursive-comment...v-bind="{ comment: item.comment, replies: item.replies,...v-if="replies.length" 是终于递归的条件,一旦条件不成立,则停止递归。...例如,以我们的 comments 和 replies 为例。 乍一看,我们好像需要两个组件,一个用于comments ,另一个用于 replies。
Some requests have replies to give you some information about how they are applied....The order of replies matches that of the requests....The response would have two empty replies, the reply to the third request, and another empty reply, in...replies[] object (Response) The reply of the updates....This maps 1:1 with the updates, although replies to some requests may be empty.
–num-conns=2000 –num-calls=1 Maximum connect burst length: 1 Total: connections 2000 requests 2000 replies.../conn]: 1.000 Request rate: 1533.7 req/s (0.7 ms/req) Request size [B]: 81.0 Reply rate [replies/s].../conn]: 1.000 Request rate: 486.2 req/s (2.1 ms/req) Request size [B]: 84.0 Reply rate [replies/s]:.../conn]: 1.000 Request rate: 375.3 req/s (2.7 ms/req) Request size [B]: 84.0 Reply rate [replies/s]:.../conn]: 1.000 Request rate: 851.3 req/s (1.2 ms/req) Request size [B]: 83.0 Reply rate [replies/s]:
redisDisconnectCallback *onDisconnect; redisConnectCallback *onConnect; redisCallbackList replies...异步api与事件库(libev、libevent、ae)一起工作,用于注册和删除读写事件、清理相关的函数 onDisconnect:连接断开会调用的函数 onConnect:连接建立成功或失败都会调用 replies...其他情况,将回调追加到ac->replies中。...,&cb); } break; } if (__redisShiftCallback(&ac->replies,&cb)...如果reply为非空,那么调用redisShiftCallback,尝试从链表中ac->replies中取出第一个回调结构cb。
-- 回复列表 --> replies && comment.replies.length">...-- 查看更多回复 --> comment.replies.length" @...comment.replies) { comment.replies = []; } comment.replies.push(response.data...comment.replies.length : 0; const response = await axios.get(`/api/comments/${commentId}/replies...) { comment.replies.push(...response.data); } else { comment.replies = response.data
hashtest 2", "some other value"], redis.print); //遍历哈希表"hash key" client.hkeys("hash key", function (err, replies...) { console.log(replies.length + " replies:"); replies.forEach(function (reply, i) {
comment_map = {c["id"]: c for c in comments} plan_map = {p["id"]: p for p in plans} draft_replies...resp = writer_llm.invoke(prompt) content = resp.content draft_replies[cid] = {..."] = cast(Dict[str, DraftReply], draft_replies) return cast(RebuttalState, new_state)如果你想做得更高级一点,可以加一个...4.4 Polisher Agent:拼成完整 rebuttal、统一风格 + 压字数最后一步,把所有 draft_replies 按 R1 / R2 / R3 归类,拼成一个完整 rebuttal,并做一次...: Dict[str, DraftReply] = state["draft_replies"] budget = state.get("token_budget", 4000) # 按
&//=]*)" ); static { // 初始化关键词回复 KEYWORD_REPLIES.put("你好", "你好呀!有什么可以帮您的吗?")...; KEYWORD_REPLIES.put("谢谢", "不客气,这是我应该做的~"); KEYWORD_REPLIES.put("帮助", "我是自动回复助手,可以回答简单问题..."); KEYWORD_REPLIES.put("时间", "当前系统时间: " + System.currentTimeMillis()); } public String..."检测到您发送了链接,请注意网络安全"; } // 关键词匹配 for (Map.Entry entry : KEYWORD_REPLIES.entrySet...return matcher.find(); } public void addCustomReply(String keyword, String reply) { KEYWORD_REPLIES.put
spring.cloud.stream.bindings.leaderRequests.destination=${as}-requests spring.cloud.stream.bindings.leaderReplies.destination=${as}-replies...spring.cloud.stream.bindings.leaderReplies.group=${as}-replies spring.cloud.stream.bindings.leaderReplies.durableSubscription...server.port=0 # worker node channels spring.cloud.stream.bindings.workerReplies.destination=${as}-replies
def ViewFilteredReplies(original_id): filtered_replies = [] root_message = Messages.objects.get...(original_id) all_replies = Messages.objects.select(root_id=original_id) ... ......: if reply.spam_votes <= MAX_SPAM_VOTES: filtered_replies.append(reply) return...= [] all_replies = Messages.objects.select(root_id=original_id) for reply in all_replies:...if reply.spam_votes <= MAX_SPAM_VOTES: filtered_replies.append(reply) return filtered_replies
: /etc/pure-ftpd/pure-ftpd.conf 修改 配置文件 pure-ftpd.conf 找到如下内容: # Port range for passive connections replies...# Force an IP address in PASV/EPSV/SPSV replies. - for NAT. # Symbolic host names are also accepted for...解决: 不知道为何使用 3000 4000,就会出现如上图无法连接,使用默认端口范围即可 # Port range for passive connections replies. - for firewalling
"SELECT keyword,reply,type FROM {$wpdb->weixin_custom_replies} WHERE match = '{$match}' AND status =...1" 解决方案很简单,字段名都加上反引号 `match`,可以避免提示关键字冲突的问题: "SELECT keyword,reply,type FROM {$wpdb->weixin_custom_replies
/**微博私信自动回复脚本功能:监听新私信→关键词匹配→自动回复→记录日志环境:AutoJS 4.1.0+ | 需开启无障碍服务配置:修改下方的KEYWORDS和REPLIES变量 *///=====...sendReply(reply); logReply(msg.text, reply); } }); }function generateReply(text) { for (const [keyword, replies...] of Object.entries(KEYWORDS)) { if (text.includes(keyword)) { return replies[Math.floor(Math.random(...) * replies.length)]; } } return null; }//===== 实用工具函数 =====// function isNewMessage(timeStr) { // 实现时间解析逻辑
&& comment.replies.length > 0" class="replies"> replies" :key=...', likes: 8, replies: [] }]);const newComment = ref('');const replyContent = ref('');const...== -1) { const replyIndex = comments.value[commentIndex].replies.findIndex(r => r.id === replyId...comments.value[commentIndex].replies) { comments.value[commentIndex].replies = []; }...comments.value[commentIndex].replies.push(newReply); } } cancelReply();};const postComment = (
Smart Replies 这是 Facebook Messenger 内置的新 AI 功能,说白了就是自动回复。它能让 AI 能学习常见问题的答案,以帮助公司对客户的一般性询问进行自动回复。...David Marcus 表示,Smart Replies 旨在“把自动化带给最需要的人——小微企业主。“他们的时间非常紧张,或许也缺乏人力资源对客户进行 7 天 24 小时的回复。...“ Smart Replies 的引擎,能自动从公司的主页采集信息,识别用户问题,然后进行答复。 在第一阶段,Facebook 将与美国的大小餐厅合作推广 Smart Replies。
Service public class Producer { //保存所有请求的业务id和响应结果 private static final Map replies...message.setJMSReplyTo(new ActiveMQQueue(Constants.QueueNames.RESPONSE_QUEUE)); //记录发送的请求 replies.putIfAbsent...containerFactory = Constants.QUEUE_LISTENER_CONTAINER_FACTORY) public void onReply(ResponseDto dto) { replies.put
db.Column(db.Integer, db.ForeignKey('post.id')) post = db.relationship('Post', back_populates='comments') replies...back_populates='replied', cascade='all, delete-orphan') replied = db.relationship('Comment', back_populates='replies
&& comment.replies.length > 0" class="replies"> replies" :key...', likes: 12, replies: [ { id: 101, username: '李四', avatar:...', likes: 8, replies: [] } ]); const newComment = ref(''); const replyContent = ref(''...== -1) { // 可以实现嵌套回复逻辑 comments.value[commentIndex].replies.splice(replyIndex + 1, 0,...comments.value[commentIndex].replies) { comments.value[commentIndex].replies = []; }
the [[akka.actor.FSM]]: the state * name, the state data, possibly custom timeout, stop reason and replies...stateName: S, stateData: D, timeout: Option[FiniteDuration] = None, stopReason: Option[Reason] = None, replies...D = stateData, timeout: Option[FiniteDuration] = timeout, stopReason: Option[Reason] = stopReason, replies...: List[Any] = replies): State[S, D] = { new State(stateName, stateData, timeout, stopReason, replies...= replyValue :: replies) } /** * Modify state transition descriptor with new state data