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可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: This question already has an answer here: Call a macro every time any method is called - Objective C 4 answers When I want to see the order of the object method calls, I have to put logs each method I implemented like this. - (void)updateTime:(float)time { NSLog(@"%s", __PRETTY_FUNCTION__); Hence I have to put this code in every method on the class, and it's very boring to insert and delete so many log function calls every time I am debugging a class. So how can I trigger NSLog(@"%s", __PRETTY_FUNCTION__); in a class on each method call?

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: So, you have n sorted arrays (not necessarily of equal length), and you are to return the kth smallest element in the combined array (i.e the combined array formed by merging all the n sorted arrays) I have been trying it and its other variants for quite a while now, and till now I only feel comfortable in the case where there are two arrays of equal length, both sorted and one has to return the median of these two. This has logarithmic time complexity. After this I tried to generalize it to finding kth smallest among two sorted arrays. Here

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I usually use scipy.cluster.hierarchical linkage and fcluster functions to get cluster labels. However, the sklearn.cluster.AgglomerativeClustering has the ability to also consider structural information using a connectivity matrix , for example using a knn_graph input, which makes it interesting for my current application. However, I usually assign labels in fcluster by either a 'distance' or 'inconsistent' criterion, and AFAIK the AgglomerativeClustering function in sklearn only has the option to define the number of desired clusters (so

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am trying to properly understand the batch_input and batch_labels from the tensorflow "Vector Representations of Words" tutorial. For instance, my data 1 1 1 1 1 1 1 1 5 251 371 371 1685 ... ... starts with skip_window = 2 # How many words to consider left and right. num_skips = 1 # How many times to reuse an input to generate a label. Then the generated input array is: bach_input = 1 1 1 1 1 1 5 251 371 .... This makes sense, starts from after 2 (= window size) and then continuous. The labels: batch_labels = 1 1 1 1 1 1 251 1 1685 371 589

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Under what circumstances should each of the following synchronization objects be used? ReaderWriter lock Semaphore Mutex 回答1: Since wait() will return once for each time post() is called, semaphores are a basic producer-consumer model - the simplest form of inter-thread message except maybe signals. They are used so one thread can tell another thread that something has happened that it's interested in (and how many times), and for managing access to resources which can have at most a fixed finite number of users. They offer ordering

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Hellloooooo... I have two <select> inputs like this <select id="sel1"> <option value="a">a</option> <option value="b">b</option> </select> <select id="sel2"> //if 'a' is selected above, //<option>apple</option>, <option>airplane</option> //if 'b' is selected above, //<option>banana</option>, <option>book</option> </select> And I want to list different sets of options according to the selection in sel1 . I could get the selected value using onchange attribute like this: <select id="sel1" onchange="giveSelection(this)"> <script type="text

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have a 2D matrix and I want to take norm of each row. But when I use numpy.linalg.norm(X) directly, it takes the norm of the whole matrix. I can take norm of each row by using a for loop and then taking norm of each X[i] , but it takes a huge time since I have 30k rows. Any suggestions to find a quicker way? Or is it possible to apply np.linalg.norm to each row of a matrix? 回答1: Note that, as perimosocordiae shows , as of NumPy version 1.9, np.linalg.norm(x, axis=1) is the fastest way to compute the L2-norm. If you are computing an L2-norm

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I have a queue of tasks (20 in length) where each tasks is an ajax request to be invoked . I want to : 1) Create chunks of 5 ( 20/5 =4 chunks) 2) Execute each chunk where each item in chunk will be executed with delay of 1000 ms. 3) When each chunks item complete , wait 3 seconds . So : 1.. ..2.. ..3.. ..4.. ..5..................... 3sec .......... 6.. ..7.. ..8.. ..9.. ..10..................... 3sec .......... ... 11.. ..12.. ..13.. ..14.. ..15..................... 3sec .......... 16.. ..17.. ..18.. ..19.. ..20 I did manage to do

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: How do i select the same day each month for the next 5 years using SQL? eg: 05 Jan 2013 05 Feb 2013 05 Mar 2013 I have tried: select dateadd ( day ,- day ( dateadd ( month , 1 , current_timestamp )) , dateadd ( month , 1 , current_timestamp ) ) 回答1: How about something like DECLARE @StartDate DATETIME = '05 Jan 2013' , @YearsAdded INT = 5 ; WITH Dates AS ( SELECT @StartDate [ Date ] UNION ALL SELECT DATEADD ( MONTH , 1 ,[ Date ]) FROM Dates WHERE DATEADD ( MONTH , 1 ,[ Date ]) <= DATEADD ( YEAR , @YearsAdded , @StartDate ) ) SELECT

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: This page, http://msdn.microsoft.com/en-us/library/vstudio/hh191443.aspx , in the thread section, says that a async method does not run in other thread, that if I want to use other thread, I would use Task.Run. So I understand that async and threading are two diferents things, and each option is good for some situations. I would like to know when is better to use async and when is better to use threading. Thanks. 回答1: You use threads when you have constant work to do. Either directly ofr with a custom written pool. And even then