Can we write a generic array/slice deduplication in go?
While VonC's answer probably does the closest to what you really want, the only real way to do it in native Go without gen is to define an interface type IDList interface { // Returns the id of the element at i ID(i int) int // Returns the element //...
Deduping Column pairs in R
First create a new vector which identifies rows with a particular zip pair but doesn't distinguish based upon the ordering: zipUp<-paste(pmin(df$zip1,df$zip2),pmax(df$zip1,df$zip2)) Now find duplicates in that vector, and discard them from the original data frame. dups<-duplicated(zipUp) newdf<-df[!dups,] I am assuming that the first two columns will not contain NA. If...
Duke deduplication engine: linking records not working?
java,xml,algorithm,fuzzy-logic,deduplication
Actually, it is finding 8284 links. --testfile is for giving Duke a file containing known correct links, basically test data. What you want is --linkfile, which writes the links you've found into that file. I guess I should add code which warns against an empty test file, since that very...
Remove duplicates from LUA Table by timestamp
Assuming that mSavedTHVars.Forever_Sales[18] and mSavedTHVars.Forever_Sales[19] are the tables you listed in your post, then to remove all duplicates based on same time stamp it is easiest to create a "set" based on timestamp (since the timestamp is your condition for uniqueness). Loop through your mSavedTHVars.Forever_Sales and for each item, add...
Remove duplicates from list based on multiple fields or columns
This will return one item for each "type" (like a Distinct) (so if you have A, A, B, C it will return A, B, C) List<MyClass> noDups = myClassList.GroupBy(d => new {d.prop1,d.prop2,d.prop3} ) .Select(d => d.First()) .ToList(); If you want only the elements that don't have a duplicate (so if...
Remove duplicates SQL while ignoring key and selecting max of specified column
RENAME TABLE myTable to Old_mytable, myTable2 to myTable INSERT INTO myTable SELECT * FROM Old_myTable GROUP BY name, name_id; This groups my tables by the values I want to dedupe while still keeping structure and ignoring the 'Data_id' column...
Generating numpy array of indices for a deduplicated set of points
python,arrays,numpy,deduplication
x2 = np.ascontiguousarray(x).view(np.dtype((np.void, x.dtype.itemsize * x.shape[1]))) y_temp, z = np.unique(x2, return_inverse=True) y = y_temp.view(dtype='int64').reshape(len(y_temp), 2) print(y) print(z) yields [[0 0] [1 0] [1 1]] and [0 1 2 0] Credit: Find unique rows in numpy.array...
Improving Run Time for deduping lists based on only certain columns in Python
python,performance,list,deduplication
@kindall is correct in suggesting set() or dict to keep track of what you've seen so far. def getKey(row): return (row[0], row[7], row[9], row[10]) # create a set of all the keys you care about lead_keys = {getKey(r) for r in Leads_rows} # save this off due to reverse indexing...
getting multiple values out of an SQL statement
Just use only 1 query where you get the count: cursor.execute("select Count(TeacherID) from TeacherInfo where TeacherInitials = ?",(TeacherInitials,)) ...
sbt assembly error - deduplicate: different file contents found in the following
scala,sbt,deduplication,sbt-assembly,scala-breeze
I use this in my build.sbt: excludedJars in assembly <<= (fullClasspath in assembly) map { cp => cp filter {x => x.data.getName.matches("sbt.*") || x.data.getName.matches(".*macros.*")} } ...