kotlinc vs python3

shell res

jim@OJFQCCK22EVHS7YKLYN6LXTEZ2JR4HAZ:~/work/columnar/superannuate$ export JAVA_HOME=/opt/jdk-15/ JAVA_OPTS=-Xmx512m ;export PATH=/opt/jdk-15//bin/:$PATH;time kotlinc-jvm -jvm-target 13 -Xnew-inference  -cp $(find  ../cursor/target/ -name '*jar'|xargs -n999 echo|tr ' ' :) -script histogram.kts                                                                                     
OpenJDK 64-Bit Server VM warning: Options -Xverify:none and -noverify were deprecated in JDK 13 and will likely be removed in a future release.                                              
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emulating                                                                                                                                                                                    
import pandas as pd;                                                                                                                                                                         
d1names=['SalesNo', 'SalesAreaID', 'date', 'PluNo', 'ItemName', 'Quantity', 'Amount', 'TransMode']                                                                                           
d1=pd.read_fwf('superannuated1909.fwf',                                                                                                                                                      
    names=d1names,                                                                                                                                                                           
    colspecs=[(0, 11), (11, 15), (15, 25), (25, 40), (40, 60), (60, 82), (82, 103), (103, 108)])                                                                                             
for i in d1names: print( (i,len( d1[i].unique() )) )                                                                                                                                         
                                                                                                                                                                                             
--- groupClusters                                                                                                                                                                            
(SalesNo, 1149923)
--- groupClusters
(SalesAreaID, 70)
--- groupClusters
(date, 226)
--- groupClusters
(PluNo, 260)
--- groupClusters
(ItemName, 267)
--- groupClusters
(Quantity, 67)
--- groupClusters
(Amount, 82)
--- groupClusters
(TransMode, 2)
[NHS, NMUY]
histogram.kts:42:30: warning: unchecked cast: Vect02<IOMemento, String?> /* = Pai2<Int, (Int) -> Pai2<IOMemento, String?>> */ to Vect02<TypeMemento, String?> /* = Pai2<Int, (Int) -> Pai2<TypeMemento, String?>> */
val columnar = Columnar(meta as Vect02<TypeMemento, String?>)
                             ^

real    0m29.022s
user    1m20.682s
sys     0m0.863s
jim@OJFQCCK22EVHS7YKLYN6LXTEZ2JR4HAZ:~/work/columnar/superannuate$ time python3 histogram.py 
('SalesNo', 1149923)
('SalesAreaID', 70)
('date', 226)
('PluNo', 260)
('ItemName', 267)
('Quantity', 67)
('Amount', 82)
('TransMode', 2)
['NHS' 'NMUY']

real    0m23.923s
user    0m17.372s
sys     0m1.188s
jim@OJFQCCK22EVHS7YKLYN6LXTEZ2JR4HAZ:~/work/columnar/superannuate$