duplicates

问题 Input: a;3;c;1 a;4;b;2 a;5;c;1 Output: a;3;c;1 a;5;c;1 Hence, all lines which have duplicates of columns 1,3 and 4 should be printed. 回答1: If a 2-pass approach is OK: $ awk -F';' '{key=$1 FS $3 FS $4} NR==FNR{cnt[key]++;next} cnt[key]>1' file file a;3;c;1 a;5;c;1 otherwise: $ awk -F';' ' { key=$1 FS $3 FS $4; a[key,++cnt[key]]=$0 } END { for (key in cnt) if (cnt[key] > 1) for (i=1; i<=cnt[key]; i++) print a[key,i] } ' file a;3;c;1 a;5;c;1 The output order of keys in that second script will be

问题 I am having some difficulty with MySQL seeming to insert a row twice. - Basically, I need to save a local copy of some information that is retrieved from a remote data source. So when a user views information that is from the remote source, I check to see if I have a local copy of the information I need to store. If I don't have a local copy I add a record of that information. - The issue I am having is that every I would say 20-30 inserts I get a duplicate. I keep track of the insert and

问题 I have two tables. One is CustomerOrders and the other is OrderCustomerRef - lookup table. Both tables have one-to-many relationship - one customer may be associated with multiple orders. CustomerOrders table has duplicate Customers (same LName, FName, Email). But they have different Cust_IDs. I need to merge all duplicate contacts in the base Customer table (one-to-one). (this table is not shown here). Step 1: Need to find out which Cust_ID should be merged into which corresponding duplicate

问题 Here are the steps I'm following to do a Multinomial Linear Regression. > z<-read.table("2008 Racedata.txt", header=TRUE, sep="\t", row.names=NULL) > head(z) datekey raceno horseno place winner draw winodds log_odds jwt hwt 1 2008091501 1 8 1 1 2 12.0 2.484907 128 1170 2 2008091501 1 11 2 0 3 8.6 2.151762 123 1135 3 2008091501 1 6 3 0 5 7.0 1.945910 127 1114 4 2008091501 1 12 4 0 10 23.0 3.135494 123 1018 5 2008091501 1 14 5 0 4 11.0 2.397895 113 1027 6 2008091501 1 5 6 0 14 50.0 3.912023 131

问题 Here are the steps I'm following to do a Multinomial Linear Regression. > z<-read.table("2008 Racedata.txt", header=TRUE, sep="\t", row.names=NULL) > head(z) datekey raceno horseno place winner draw winodds log_odds jwt hwt 1 2008091501 1 8 1 1 2 12.0 2.484907 128 1170 2 2008091501 1 11 2 0 3 8.6 2.151762 123 1135 3 2008091501 1 6 3 0 5 7.0 1.945910 127 1114 4 2008091501 1 12 4 0 10 23.0 3.135494 123 1018 5 2008091501 1 14 5 0 4 11.0 2.397895 113 1027 6 2008091501 1 5 6 0 14 50.0 3.912023 131

问题 I have a 12Gb file of combined hash lists. I need to find the duplicates in it but I've been having some issues. Some 920 (uniq'd) lists were merged using cat *.txt > _uniq_combined.txt resulting in a huge list of hashes. Once merged, the final list WILL contain duplicates. I thought I had it figured out with awk '!seen[$0]++' _uniq_combined.txt > _AWK_duplicates.txt && say finished ya jabroni awk '!seen[$0]++' _uniq_combined.txt > _AWK_duplicates.txt results in a file with a size of

问题 I have a 12Gb file of combined hash lists. I need to find the duplicates in it but I've been having some issues. Some 920 (uniq'd) lists were merged using cat *.txt > _uniq_combined.txt resulting in a huge list of hashes. Once merged, the final list WILL contain duplicates. I thought I had it figured out with awk '!seen[$0]++' _uniq_combined.txt > _AWK_duplicates.txt && say finished ya jabroni awk '!seen[$0]++' _uniq_combined.txt > _AWK_duplicates.txt results in a file with a size of

问题 I have a 12Gb file of combined hash lists. I need to find the duplicates in it but I've been having some issues. Some 920 (uniq'd) lists were merged using cat *.txt > _uniq_combined.txt resulting in a huge list of hashes. Once merged, the final list WILL contain duplicates. I thought I had it figured out with awk '!seen[$0]++' _uniq_combined.txt > _AWK_duplicates.txt && say finished ya jabroni awk '!seen[$0]++' _uniq_combined.txt > _AWK_duplicates.txt results in a file with a size of

问题 I've been looking for this answer for a while. I've found numbers of solutions for removing duplicates using a HashSet or LinkedHashSet but they all remove all duplicates, I'm looking for only the adjacent ones. " Say a string is "ABBCDAABBBBBBBBOR" The required result should be "ABCDABOR" and not "ABCDOR". Could this be achived in O(n) ? Thanks. 回答1: Sure: StringBuilder sb = new StringBuilder(); char[] chars = text.toCharArray(); char previous = chars[0]; sb.append(chars[0]); for(int i = 1 ;

问题 I am trying to remove duplicates with tolerance from a set of keys and values using the following rule: Assume the following set: keys = [1 2 3 3.1 3.15 4 5]; vals = [0.8 1 1.1 1.3 1.2 1 1.1]; Plotted this would look like this: Now I would like to remove those pairs where the keys are very close together as indicated in the plot by the red circle. The key value pair that I would like to keep is that one with the largest value (in the example the middle one [3.1; 1.3] ), so that the resulting