include newly added det. metrics KGENP/KGENP_D in evalhyd-cpp

tests/expected/evald/KGENP.csv

+0.9036196405840838
+0.9027149491299032
+0.9019964203149340
+0.9015473483249743
+0.9010227409078427
+0.9002935342284578
+0.8996776226282514
+0.8994216492339094
+0.8990977208488355
+0.8987350709875637
+0.8982532429397716
+0.8976861184526075
+0.8972152067006425
+0.8968237918617401
+0.8964733361016016
+0.8958912350965430
+0.8955633883538662
+0.8952428069377452
+0.8949345862320413
+0.8946525212872837
+0.8942745923214641
+0.8940089723492346
+0.8935943964262417
+0.8932560897547058
+0.8928803002007193
+0.8925226440231935
+0.8921614576327788
+0.8918237045929703
+0.8914308286219610
+0.8910650664139746
+0.8908211410044876
+0.8903097144311038
+0.8897023851839844
+0.8890303874814716
+0.8886702633964977
+0.8882116628141731
+0.8875818375621527
+0.8868808169065676
+0.8858920353229134
+0.8852878632825192
+0.8849502078228993
+0.8844861762981348
+0.8836425483698741
+0.8826408130506563
+0.8818114019975033
+0.8806522435640054
+0.8792440943389407
+0.8777199708282357
+0.8749280250179110
+0.8718181395679226
+0.8615027580099652

tests/expected/evald/KGENP_D.csv

+0.9520277979462711,0.9497765351583353,1.0668239858924582
+0.9523126391293594,0.9499605171079959,1.0684568980300118
+0.9524758044569267,0.9500741432348777,1.0696675053044051
+0.9528188904757725,0.9501160335929643,1.0705581846521615
+0.9528559916382756,0.9502337695934666,1.0713951161082431
+0.9528587841988941,0.9500393279828702,1.0722704389155211
+0.9530594496261958,0.9498915009792210,1.0731457617227991
+0.9530614443123518,0.9499496825957654,1.0735373535050023
+0.9531859127284913,0.9499396120529464,1.0740517976110342
+0.9532672959236593,0.9498873351942252,1.0745611228702399
+0.9532529341833356,0.9498539983260041,1.0751830627596215
+0.9532968172787694,0.9497273044373882,1.0758920230450484
+0.9533793972856310,0.9496601087761085,1.0765318788983218
+0.9534292644395331,0.9495354662866569,1.0770053722297441
+0.9534472166149378,0.9494905674176269,1.0774558307504485
+0.9534240782555273,0.9493484046086818,1.0781263996846790
+0.9534344506235389,0.9492972712034291,1.0785359074307741
+0.9534404346820071,0.9492265991089008,1.0789198209427380
+0.9534687592254235,0.9491619974453277,1.0793037344547021
+0.9536770044601183,0.9491650765239747,1.0798002625968421
+0.9536626427197945,0.9491350202913762,1.0802711965048515
+0.9537129088109277,0.9491315924723295,1.0806474317465762
+0.9537129088109277,0.9490598383917315,1.0811465193121295
+0.9537687600232979,0.9490004286134792,1.0815841807157685
+0.9537611802159048,0.9489625645445023,1.0820474363535382
+0.9539506754007324,0.9489310578873620,1.0826002718107666
+0.9539789999441488,0.9489579598218398,1.0831019187997328
+0.9540240798512762,0.9488668916806536,1.0835088671224147
+0.9540384415916000,0.9487590811954164,1.0839593256431190
+0.9540224841023514,0.9487666979551599,1.0844277001277152
+0.9541297982175484,0.9487387792434008,1.0847834599821353
+0.9541433620834098,0.9486800858387021,1.0854130781417561
+0.9541752770619071,0.9485263682674370,1.0861169195803568
+0.9541728834385198,0.9483531735489698,1.0868719494872194
+0.9542379102072081,0.9482801928686959,1.0873224080079240
+0.9546978848348001,0.9481534173885801,1.0880697596445472
+0.9547242146920604,0.9480523537998038,1.0888222301279968
+0.9547194274452857,0.9478976549520498,1.0896156513860558
+0.9546683634796901,0.9477531014579976,1.0907520353814693
+0.9548367149912633,0.9476282681201116,1.0915224218288104
+0.9550158378080793,0.9476574803442240,1.0920496630519076
+0.9554363176497810,0.9475728061854791,1.0927842175714655
+0.9555336583341977,0.9475197380039366,1.0938489377113123
+0.9555081263513999,0.9473232139636073,1.0949674057428342
+0.9554829933058333,0.9472245686602775,1.0959246300993313
+0.9554327272147001,0.9469956731534295,1.0972017823824649
+0.9556533395035625,0.9466231399592477,1.0988244568263661
+0.9557989515929564,0.9464090285170748,1.1006314097560101
+0.9559976223341019,0.9459322640378260,1.1038434861394426
+0.9565134481740643,0.9459453672837206,1.1077849981956065
+0.9556740842395858,0.9446729017186131,1.1189773567810644

tests/test_determinist.py

@@ -18,7 +18,7 @@ _all_metrics = (
     # errors-based
     'MAE', 'MARE', 'MSE', 'RMSE',
     # efficiencies-based
-    'NSE', 'KGE', 'KGE_D', 'KGEPRIME', 'KGEPRIME_D',
+    'NSE', 'KGE', 'KGE_D', 'KGEPRIME', 'KGEPRIME_D', 'KGENP', 'KGENP_D',
     # contingency table-based
     'CONT_TBL'
 )