compare

在使用 https://github.com/beevik/etree.git 的etree时，出现问题 etree.go:801: undefined: strings.Compare 查找 了一下 strings.go 文件： sudo find / | grep strings.go 使用vim 查看 了一下该文件， vim /usr/share/ go /pkg/strings/strings. go 然后在vim中查找 Compare ，提示 E486 : Pattern not found: Compare 也就是说 strings.Compare() 并没有被定义，但是 go 的 文档 中有相关的函数，这可能是由当前使用的 go 版本太低导致的。 为 解决 这个问题， 可以 将当前的 go 更新至最新版本。不过有点麻烦，考虑到 etree.go 只使用了两次 strings.Compare() 函数，并且它的 源代码 也很简单： func Compare(a, b string) int { // NOTE(rsc): This function does NOT call the runtime cmpstring function, // because we do not want to provide any performance justification

I would like to know if I can compare 2 member functions with the "<" operator. I can do "==" but I can't use it in the case below. I tried casting them to void* but that won't work either. template <class Receiver, class Sender> class CallBack2 : public ICallBack2 { protected: Receiver* receiver; void(Receiver::*function)(Sender*); Sender* sender; public: CallBack2(Receiver* _receiver, void(Receiver::*_function)(Sender*), Sender* _sender) : receiver(_receiver), function(_function), sender(_sender) {}; virtual ~CallBack2() {}; virtual void callBack() { (receiver->*function)(sender); } virtual

I'm in need of a method to quickly return the number of differences between two large lists. The contents of each list item is either 1 or 0 (single integers), and the amount of items in each list will always be 307200. This is a sample of my current code: list1 = <list1> # should be a list of integers containing 1's or 0's list2 = <list2> # same rule as above, in a slightly different order diffCount = 0 for index, item in enumerate(list1): if item != list2[index]: diffCount += 1 percent = float(diffCount) / float(307200) The above works but it is way too slow for my purposes. What I would

I am using sqlite database. My table schema is CREATE TABLE performance(area TEXT, name TEXT, score INTEGER, dt TEXT) The content in the table is like this: uk|josh|4|2013-11-04 20:00 ca|josh|2|2013-11-05 20:00 us|josh|6|2013-11-05 20:00 uk|andy|5|2013-11-04 20:00 us|andy|1|2013-11-05 20:00 uk|sara|9|2013-11-05 20:00 ca|sara|7|2013-11-06 20:00 ca|sara|2|2013-11-06 20:00 I used the following sql statement to select name and its corresponding sum of score grouping by name and dt. select name, sum(score), dt from performance group by name, dt; I got josh|4|2013-11-04 20:00 josh|8|2013-11-05 20:00

I have a system where video files are ingested and then multiple CPU intensive tasks are started. As these tasks are computationally expensive I would like to skip processing a file if it has already been processed. Videos come from various sources so file names etc are not viable options. If I was using pictures I would compare the MD5 hash but on a 5GB - 40GB video this can take a long time to compute. To compare the 2 videos I am testing this method: check relevant metadata matches check length of file with ffmpeg / ffprobe use ffmpeg to extract frames at 100 predfined timestamps [1-100]

I have this file error.log [00:00:00.284],501, [00:00:00.417],5,5294100071980 [00:00:02.463],501, [00:00:05.169],501, [00:00:05.529],501, [00:00:05.730],501, so, if the field $3 its empty i want to print "No value" Im trying this code awk '{{FS=","} if($3=="") {print $1,$2,"No value"}}' But it prints >[00:00:00.284] 501 No value >[00:00:02.463] 501 No value >[00:00:05.169] 501 No value >[00:00:05.529] 501 No value >[00:00:05.730] 501 No value >[00:00:07.193] 501 No value >[00:00:09.899] 501 No value >[00:00:31.312] 501 No value awk -F ',' -v OFS=',' '$1 { if ($3=="") $3="No value"; print}' in

I have a file like below: P1 A,B,C P2 B,C,D,F P3 C,D,E,F and I need to compare each row to all other rows to get a count of intersecting elements like below: P1 P2 2 P1 P3 1 P2 P3 3 Thank you, S Read example data. txt <- "P1 A,B,C P2 B,C,D,F P3 C,D,E,F" tc <- textConnection(txt) dat <- read.table(tc,as.is=TRUE) close(tc) Transform to long format and use self join with aggregating function. dat_split <- strsplit(dat$V2,",") dat_long <- do.call(rbind,lapply(seq_along(dat_split), function(x) data.frame(id=x,x=dat_split[[x]], stringsAsFactors=FALSE))) result <- sqldf("SELECT t1.id AS id1,t2.id AS

I am looking for a way to compare the contents of two NSMutableArray objects. Both arrays are filled with NSMutableDictionaries which were allocated separately but occasionally contain the same data. Simplified Example: NSMutableArray *firstArray = [[NSMutableArray alloc] init]; NSMutableArray *secondArray = [[NSMutableArray alloc] init]; NSMutableDictionary *a = [[NSDictionary alloc] init]; [a setObject:@"foo" forKey:"name"]; [a setObject:[NSNumber numberWithInt:1] forKey:"number"]; NSMutableDictionary *b = [[NSDictionary alloc] init]; [b setObject:@"bar" forKey:"name"]; [b setObject: