ellipsis

text-overflow ellipsis 自动截断超出范围的文本

怎甘沉沦 提交于 2020-10-28 13:09:36
今天前端同事问了一个小技巧的问题,怎么控制超出范围的文本自动截断,给她写完后来普渡下众生`(*∩_∩*)′ 1、普通的文本段 对于普通的文本段的话只需要定义下面三个属性 p { white-space: nowrap; /* 使内容不自动换行 对应的还有 normal 自动换行 */ overflow: hidden; /* 超出容器范围的内容隐藏 */ text-overflow: ellipsis; /* 文本超出容器范围以 ... 做截断 */ } <p>hello world hello world hello world hello world hello world hello world hello world hello world hello world hello world </p> 2、表格的文本段 当在表格中想要实现此效果时需要将此表格的 table-layout 设为 fixed table { width: 100%; table-layout: fixed; /* 一定要有此属性 */ } td { white-space: normal; overflow: hidden; text-overflow: ellipsis; } 其他与普通文本段的定义没区别 来源: oschina 链接: https://my.oschina.net/u

Dynamic ellipsis support for Android autosizing TextViews

…衆ロ難τιáo~ 提交于 2020-06-25 09:02:10
问题 The new Autosizing TextViews are pretty awesome, but it seems a fundamental thing is missing: ellipses. Adding ellipses still requires defining the maxLines attribute, but if I want to be able to dynamically resize the text size according to the text view boundaries, I'd also like to be able to dynamically add ellipses when needed. Right now, if the text doesn't fit even with the minimum text size, it just gets cropped. How could I add support for dynamic ellipses without giving up the new

How to show more than one line in a notification message (flutter_local_notifications package)

僤鯓⒐⒋嵵緔 提交于 2020-05-31 10:14:48
问题 I have a problem that only the first line in the notification body appears, how can I make the notification expanded with large content? This is the code, using the flutter_local_notifications package: void showNotification(int id, String title, String content, DateTime time) async { final AndroidNotificationDetails android = AndroidNotificationDetails( 'ch_ID', 'Ch_Name', 'ch_Description', priority: Priority.High, importance: Importance.Max); final IOSNotificationDetails ios =

Count number of arguments passed to function

自古美人都是妖i 提交于 2020-05-12 03:27:27
问题 I'm interested in counting a number of arguments passed to a function. length can't be used for that purpose: >> length(2,2,2,2,2) Error in length(2, 2, 2, 2, 2) : 5 arguments passed to 'length' which requires 1 This is obvious as length takes 1 argument so: length(c(2,2,2,2,2)) would produce the desired result - 5. Solution I want to call my function like that myFunction(arg1, arg2, arg3) . This can be done with use of an ellipsis: myCount <- function(...) {length(list(...))} myCount would

white-space: nowrap; and flexbox did not work in chrome

你说的曾经没有我的故事 提交于 2020-04-08 08:57:50
问题 Recent update of Chrome breaks white-space: nowrap using text-overflow: ellipsis; on a overflow: hidden element. How to fix that without adding hard-coded width on name class.. <h1>problem</h1> <div class="container"> <div class="name"> <div class="firstname"> test </div> <div class="lastname"> as kjldashdk ja asdjhk ashdjk ashdjk asdjasdkajsdh akjsd asd asd asd asd asd asd as das da asdas dasd asda sdasd as dasd asd asd as dasd a </div> </div> <div class="side"> options </div> </div> The

Issues reshaping numpy array using Ellipsis

你。 提交于 2020-03-23 12:19:29
问题 I'm trying to replicate the following batch generator for a project. However I'm having issues reshaping my data. The goal of the function is to take an array of [6000,3000] and reshape it to shape [batch_size, 100,3000,1]. Functioning code I'm trying to replicate def gen(dict_files, aug=False): while True: record_name = random.choice(list(dict_files.keys())) batch_data = dict_files[record_name] all_rows = batch_data['x'] for i in range(batch_size): start_index = random.choice(range(all_rows

Issues reshaping numpy array using Ellipsis

喜你入骨 提交于 2020-03-23 12:19:10
问题 I'm trying to replicate the following batch generator for a project. However I'm having issues reshaping my data. The goal of the function is to take an array of [6000,3000] and reshape it to shape [batch_size, 100,3000,1]. Functioning code I'm trying to replicate def gen(dict_files, aug=False): while True: record_name = random.choice(list(dict_files.keys())) batch_data = dict_files[record_name] all_rows = batch_data['x'] for i in range(batch_size): start_index = random.choice(range(all_rows