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。
–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]:
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.
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。
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) {
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
"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
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
： /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
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。
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
ByteBuffer buffer = longBuffer.slice(); int expect = remoteHosts.size(); int replies...= 0; System.out.println(""); System.out.println("Waiting for replies...");...++; printTime(longBuffer.getLong(0),sa); if(replies == expect){...packets answered"); break; } System.out.println("Received "+replies...+" of "+ expect + " replies"); } } protected void printTime(long remote1900,InetSocketAddress
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
= r_json['data']['replies'] # 用户名 user_name = [i['member'].get('uname') for i in replies_data...] # 性别 sex = [i['member'].get('sex') for i in replies_data] # 签名 sign = [i['member']....') for i in replies_data] # 评论内容 content = [i['content'].get('message') for i in replies_data...] # 用户设备 device = [i['content'].get('device') for i in replies_data] # 评论时间 content_time...= [i.get('ctime') for i in replies_data] # 回复数 reply_count = [i['rcount'] for i in replies_data
thread[‘replies’] : thread[‘replies’] + 1; thread[‘special’] == 3 && if(topicposts > $pagelinks = ”...thread[‘closed’] > 1) { thread[‘moved’] = thread[‘tid’]; thread[‘tid’] = thread[‘closed’]; $thread[‘replies...$thread[‘new’] = 1; $thread[‘folder’] = ‘new’; } else { $thread[‘new’] = 0; } if(thread[‘replies’]...> thread[‘views’] = thread[‘replies’]; } if(thread[‘replies’] >= $thread[‘folder’] = ‘hot’; } } thread
不会把真实实际场景所有字段加上）： 帖子表(posts) 字段名 类型 说明 tid int 帖子id title varchar(200) 帖子标题 content text 帖子内容 回复表(replies...回复id tid int 帖子id uid int 用户id content text 回复内容 create_time datetime 插入时间 假设这些表都在数据库forums中， 如果我们要对replies...进行分表，则tables这样设置 forums.replies.tid.64 上面表示对replies进行分表，分表字段为tid，即所有tid相同的回复会在同一张表，总共分64张表。
我们通过浏览器工具抓取网页上的所有请求，然后搜索 reply，可以得到如下结果 我们先来看看 main 请求，整理后通过浏览器访问如下 也可以直接通过 requests 请求 通过观察可以得知，响应消息里的 replies...我们厘清了上面的关系之后，我们就可以编写代码了 def get_data(data): data_list = [] comment_data_list = data["data"]["replies...format(str(i)) print(url) d = requests.get(url) data = d.json() if not data['data']['replies...reply_url) r = requests.get(reply_url) r_data = r.json() if not r_data['data']['replies
领取专属 10元无门槛券
手把手带您无忧上云
云服务器
ICP备案
腾讯会议
云直播
对象存储
