duplicates

问题 I'm new to XSLT/XML. I have an XML file similar to this: <event> <division name="Div1"> <team name="Team1"> <player firstname="A" lastname="F" /> <player firstname="B" lastname="G" /> <player firstname="C" lastname="H" /> <player firstname="D" lastname="G" /> </team> <team name="Team2"> <player firstname="A" lastname="F" /> <player firstname="B" lastname="G" /> <player firstname="C" lastname="H" /> <player firstname="D" lastname="I" /> </team> </division> </event> I'm trying to write a XSL

问题 As i am new to java i got a task to find duplicate word only and its count. i stuck in a place and i am unable to get the appropriate output. I can not use any collections and built in tool. i tried the below code. Need some help, Please help me out. public class RepeatedWord { public static void main(String[] args) { String sen = "hi hello hi good morning hello"; String word[] = sen.split(" "); int count=0; for( int i=0;i<word.length;i++) { for( int j=0;j<word.length;j++) { if(word[i].equals

问题 I connect with user "root" onto my database "test" which I host locally for development. Among others I have the table "ratingcomment". For some reason when I click on the table "ratingcomment" phpMyAdmin shows me the following error: Fehler SQL-Befehl: INSERT INTO `phpmyadmin`.`pma_history` ( `username` , `db` , `table` , `timevalue` , `sqlquery` ) VALUES ( 'root', 'test', 'ratingcomment', NOW( ) , 'SELECT * FROM `ratingcomment`' ) MySQL meldet: #1062 - Duplicate entry '838' for key 'PRIMARY

问题 I have a list of tuples and I need to delete tuples containing same elements. d=[(1,0),(2,3),(3,2),(0,1)] OutputRequired=[(1,0),(2,3)] Order of output doesn't matter command set() doesn't work as expected. 回答1: In this solution, I am copying each of the tuples into a temp after checking whether it is already present in the temp and then copy back to d . d = [(1,0),(2,3),(3,2),(0,1)] temp = [] for a,b in d : if (a,b) not in temp and (b,a) not in temp: #to check for the duplicate tuples temp

问题 In my Postgres 9.5 database with PostGis 2.2.0 installed, I have two tables with geometric data (points) and I want to assign points from one table to the points from the other table, but I don't want a buildings.gid to be assigned twice. As soon as one buildings.gid is assigned, it should not be assigned to another pvanlagen.buildid . Table definitions buildings : CREATE TABLE public.buildings ( gid numeric NOT NULL DEFAULT nextval('buildings_gid_seq'::regclass), osm_id character varying(11)

问题 Are there any famous algorithms to efficiently find duplicates? For e.g. Suppose if I have thousands of photos and the photos are named with unique names. There could be chances that duplicate could exist in different sub-folders. Is using std::map or any other hash-maps is a good idea? 回答1: If your dealing with files, one idea is to first verify the file's lenght, and then generate a hash just for the files that have the same size. Then just compare the file's hashes. If they're the same,

问题 i've found a lot of answers on how to find duplicates including the PK-column or without focus on it as this: If you have a table called T1, and the columns are c1, c2 and c3 then this query would show you the duplicate values. SELECT C1, C2, C3, count(*)as DupCount from T1 GROUP BY C1, C2, C3 HAVING COUNT(*) > 1 But a more common requirement would be to get the ID of the all duplicates that have equal c1,c2,c3 values. So i need following what doesn't work because the id must be aggregated:

问题 I am using python for this job and being very objective here, I want to find a 'pythonic' way to remove from an array of arrays the "duplicates" that are close each other from a threshold. For example, give this array: [[ 5.024, 1.559, 0.281], [ 6.198, 4.827, 1.653], [ 6.199, 4.828, 1.653]] observe that [ 6.198, 4.827, 1.653] and [ 6.199, 4.828, 1.653] are really close to each other, their Euclidian distance is 0.0014 , so they are almost "duplicates", I want my final output to be just: [[ 5

问题 I am new to R, In my data Frame I have col1("Timestamp"), col2("Values"). I have to remove rows of more than 2 consecutive NA in col2. My dataframe Looks like the below one, Timestamp | values -----------|-------- 2011-01-02 | 2 2011-01-03 | 3 2011-01-04 | NA 2011-01-05 | 1 2011-01-06 | NA 2011-01-07 | NA 2011-01-08 | 8 2011-01-09 | 6 2011-01-10 | NA 2011-01-11 | NA 2011-01-12 | NA 2011-01-13 | 2 I would like to remove more than 2 duplicate rows based on second column. Expected output -

问题 My main problem is trying to find a suitable solution to automatically turning this, for example: d+c+d+f+d+c+d+f+d+c+d+f+d+c+d+f+ into this: [d+c+d+f+]4 i.e. Finding duplicates next to each other, then making a shorter "loop" out of these duplicates. So far I have found no suitable solution to this, and I look forward to a response. P.S. To avoid confusion, the aforementioned sample is not the only thing that needs "looping", it differs from file to file. Oh, and this is intended for a C++