jgdshkovi

package com.cg.demo;

import java.util.ArrayList;
import java.util.Comparator;
import java.util.Iterator;
import java.util.List;
//import java.util.function.Predicate;
//import java.util.TreeSet;

public class EmployeeService {

jgdshkovi

from collections import defaultdict
def list_duplicates(seq):
    tally = defaultdict(list)
    for i,item in enumerate(seq):
        tally[item].append(i)
    return ((key,locs) for key,locs in tally.items() if len(locs)>1)
 
 
def return_mask(wts, labels,thr):
    modsource = labels.copy()

jgdshkovi

import warnings

import numpy as np
import scipy.sparse as sp
from joblib import Parallel, delayed

from sklearn.cluster import KMeans

from sklearn.cluster import _k_means_fast as _k_means
from sklearn.cluster.k_means_ import (