From 3c8b242b1f29170764126b08345e540c6c1a6565 Mon Sep 17 00:00:00 2001
From: Francesco Lombardi <f.lombardi@outlook.com>
Date: Mon, 4 Nov 2019 11:27:43 +0100
Subject: [PATCH] Further minor refinements

---
 RAMP_v02-pre/RAMP_run.py                      |   8 +++---
 .../__pycache__/input_file_1.cpython-36.pyc   | Bin 1459 -> 1468 bytes
 RAMP_v02-pre/input_file_1.py                  |  22 +++++++--------
 RAMP_v02-pre/input_file_2.py                  |  24 ++++++++---------
 RAMP_v02-pre/input_file_3.py                  |  25 +++++++++---------
 .../time_series/building_archetypes.CSV       |   2 +-
 RAMP_v02-pre/time_series/gw_temp_province.csv |   2 +-
 7 files changed, 42 insertions(+), 41 deletions(-)

diff --git a/RAMP_v02-pre/RAMP_run.py b/RAMP_v02-pre/RAMP_run.py
index 17c150ee..d7ef3cfc 100644
--- a/RAMP_v02-pre/RAMP_run.py
+++ b/RAMP_v02-pre/RAMP_run.py
@@ -31,14 +31,16 @@
 archetypes = pd.read_csv('time_series/building_archetypes.csv', sep=';', index_col=0)
 archetypes_ratio = {'single_family': 1, 'double_family': 1.2 , 'multi_family': 1.6 , 'apartment_block': 2.1 }
 n_dict = {'U1': 0.253, 'U2': 0.263, 'U3': 0.484}
+
+#provinces_lomb = 
         
 profiles_dict = {}
 
-for prov in [provinces[0]]:
+for prov in provinces:
     profiles_dict[prov] = {}
-    for arch in [archetypes[prov].index[0]]:
+    for arch in archetypes[prov].index:
         profiles_dict[prov][arch] = {}
-        n = archetypes[prov].loc[arch]/1e2
+        n = archetypes[prov].loc[arch]/1e3
         for us in n_dict.keys():
             profiles_dict[prov][arch][us] = {}
             for k in range(int(round(n_dict[us]*n))):
diff --git a/RAMP_v02-pre/__pycache__/input_file_1.cpython-36.pyc b/RAMP_v02-pre/__pycache__/input_file_1.cpython-36.pyc
index e5600c3c30fbee40658f5b8daa727ebae22f86bc..f9e4d8c701a9091f46e021c8b4cebf4ce80bcc7e 100644
GIT binary patch
delta 218
zcmdnYy@#9An3tE!_{gr<4HG$Msmi5r)o@5Kh%nT0rYNNFK-pX=N^mxJips<jv$+Lo
z*hCmo1XK7^q$lSw>Z0(MF`6?<Pre5x#h7$ug%D~}gi{z(M0&YuMQTK{*nw=B$q7u-
zhNvp|!74;+L?J5DnSkmTL1Z&CBSQ^qFoUM*<TXqW#Eik<vVG<o76yiN1~9l_zj-FJ
G6cYgA_cF`?

delta 209
zcmdnPy_uWSn3tDpV(yOE?Grg?smi8s)o@5Kh%nT0rpTx8K-pX=if}e}it@x0v$=(8
z*hCmo1XK7^Bq!%F>Z0(MF`6?<PQC{w#h7$u1rTaegi{z(M0&YuMQTK{*nw>6$q7u-
zhNvp|!74;+L?J5DnSkmTL1Z&CBSQ^qFoUMb<TXqWcp1Rpf_>&276yjRi<qUD02R(K
A8UO$Q

diff --git a/RAMP_v02-pre/input_file_1.py b/RAMP_v02-pre/input_file_1.py
index 612ca0bb..c0f9215b 100644
--- a/RAMP_v02-pre/input_file_1.py
+++ b/RAMP_v02-pre/input_file_1.py
@@ -24,29 +24,29 @@ def input_file(arch,prov):
     U1 = User("User type 1",1)
     User_list.append(U1)
     
-#    #User type 1
+    #User type 1
     U1_shower_wd = U1.Appliance(U1,1,shower_P,2,8*k,0.2,3, thermal_P_var = 0.2, P_series=True, wd_we_type=0)
-    U1_shower_wd.windows([420,720],[960,1380],0.25)
+    U1_shower_wd.windows([420,720],[960,1380],0.3)
     
     U1_shower_we = U1.Appliance(U1,1,shower_P,2,8*k,0.2,3, thermal_P_var = 0.2, P_series=True, wd_we_type=1)
-    U1_shower_we.windows([420,720],[960,1260],0.25)
+    U1_shower_we.windows([420,720],[960,1260],0.3)
     
-    U1_sink_wd = U1.Appliance(U1,1,sink_P,1,3*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
-    U1_sink_wd.windows([420,1380],[0,0],0.25)
+    U1_sink_wd = U1.Appliance(U1,1,sink_P,1,2*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
+    U1_sink_wd.windows([420,1380],[0,0],0.3)
     
-    U1_sink_we = U1.Appliance(U1,1,sink_P,1,3*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
-    U1_sink_we.windows([420,1380],[0,0],0.25)
+    U1_sink_we = U1.Appliance(U1,1,sink_P,1,2*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
+    U1_sink_we.windows([420,1380],[0,0],0.3)
     
     U1_kitchen_wd = U1.Appliance(U1,1,kitchen_P,1,5*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
-    U1_kitchen_wd.windows([420,1380],[0,0],0.25)
+    U1_kitchen_wd.windows([420,1380],[0,0],0.3)
     
     U1_kitchen_we = U1.Appliance(U1,1,kitchen_P,1,5*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
-    U1_kitchen_we.windows([420,1380],[0,0],0.25)
+    U1_kitchen_we.windows([420,1380],[0,0],0.3)
     
-    U1_generic_wd = U1.Appliance(U1,1,generic_P,1,2*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
+    U1_generic_wd = U1.Appliance(U1,1,generic_P,1,3*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
     U1_generic_wd.windows([0,1440],[0,0],0)
     
-    U1_generic_we = U1.Appliance(U1,1,generic_P,1,2*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
+    U1_generic_we = U1.Appliance(U1,1,generic_P,1,3*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
     U1_generic_we.windows([0,1440],[0,0],0)
     
     return(User_list)
\ No newline at end of file
diff --git a/RAMP_v02-pre/input_file_2.py b/RAMP_v02-pre/input_file_2.py
index 3fdc0aa8..4e221b71 100644
--- a/RAMP_v02-pre/input_file_2.py
+++ b/RAMP_v02-pre/input_file_2.py
@@ -24,29 +24,29 @@ def input_file(arch,prov):
     U2 = User("User type 2",1)
     User_list.append(U2)
 
-#    User type 2
+    #User type 2
     U2_shower_wd = U2.Appliance(U2,1,shower_P,2,8*k,0.2,3, thermal_P_var = 0.2, P_series=True, wd_we_type=0)
-    U2_shower_wd.windows([360,1080],[960,1380],0.2)
+    U2_shower_wd.windows([360,1080],[960,1380],0.3)
     
     U2_shower_we = U2.Appliance(U2,1,shower_P,2,8*k,0.2,3, thermal_P_var = 0.2, P_series=True, wd_we_type=1)
-    U2_shower_we.windows([360,660],[1020,1380],0.2)
+    U2_shower_we.windows([360,660],[1020,1380],0.3)
     
-    U2_sink_wd = U2.Appliance(U2,1,sink_P,2,3*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
-    U2_sink_wd.windows([360,540],[960,1380],0.2)
+    U2_sink_wd = U2.Appliance(U2,1,sink_P,2,2*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
+    U2_sink_wd.windows([360,540],[960,1380],0.3)
     
-    U2_sink_we = U2.Appliance(U2,1,sink_P,1,3*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
-    U2_sink_we.windows([420,1380],[0,0],0.2)
+    U2_sink_we = U2.Appliance(U2,1,sink_P,1,2*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
+    U2_sink_we.windows([420,1380],[0,0],0.3)
     
-    U2_kitchen_wd = U2.Appliance(U2,1,kitchen_P,2,5*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
-    U2_kitchen_wd.windows([360,540],[960,1380],0.2)
+    U2_kitchen_wd = U2.Appliance(U2,1,kitchen_P,1,5*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
+    U2_kitchen_wd.windows([960,1380],[0,0],0.3)
     
     U2_kitchen_we = U2.Appliance(U2,1,kitchen_P,1,5*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
-    U2_kitchen_we.windows([420,1380],[0,0],0.2)
+    U2_kitchen_we.windows([420,1380],[0,0],0.3)
     
-    U2_generic_wd = U2.Appliance(U2,1,generic_P,1,2*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
+    U2_generic_wd = U2.Appliance(U2,1,generic_P,1,3*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
     U2_generic_wd.windows([0,1440],[0,0],0)
     
-    U2_generic_we = U2.Appliance(U2,1,generic_P,1,2*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
+    U2_generic_we = U2.Appliance(U2,1,generic_P,1,3*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
     U2_generic_we.windows([0,1440],[0,0],0)
     
     return(User_list)
\ No newline at end of file
diff --git a/RAMP_v02-pre/input_file_3.py b/RAMP_v02-pre/input_file_3.py
index 7f6aa0f3..ab0571ce 100644
--- a/RAMP_v02-pre/input_file_3.py
+++ b/RAMP_v02-pre/input_file_3.py
@@ -21,33 +21,32 @@ def input_file(arch,prov):
     generic_P = 4/60*4186*(40-T_gw)
     
     #Create new user classes
-
     U3 = User("User type 3",1)
     User_list.append(U3)
     
-#    User type 3
+    #User type 3
     U3_shower_wd = U3.Appliance(U3,1,shower_P,2,8*k,0.2,3, thermal_P_var = 0.2, P_series=True, wd_we_type=0)
-    U3_shower_wd.windows([360,1080],[1080,1380],0.2)
+    U3_shower_wd.windows([360,1080],[1080,1380],0.3)
     
     U3_shower_we = U3.Appliance(U3,1,shower_P,2,8*k,0.2,3, thermal_P_var = 0.2, P_series=True, wd_we_type=1)
-    U3_shower_we.windows([360,660],[1020,1380],0.2)
+    U3_shower_we.windows([360,660],[1020,1380],0.3)
     
-    U3_sink_wd = U3.Appliance(U3,1,sink_P,2,3*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
-    U3_sink_wd.windows([360,540],[1080,1380],0.2)
+    U3_sink_wd = U3.Appliance(U3,1,sink_P,2,2*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
+    U3_sink_wd.windows([360,540],[1080,1380],0.3)
     
-    U3_sink_we = U3.Appliance(U3,1,sink_P,1,3*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
-    U3_sink_we.windows([420,1380],[0,0],0.2)
+    U3_sink_we = U3.Appliance(U3,1,sink_P,1,2*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
+    U3_sink_we.windows([420,1380],[0,0],0.3)
     
-    U3_kitchen_wd = U3.Appliance(U3,1,kitchen_P,2,5*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
-    U3_kitchen_wd.windows([360,540],[1080,1380],0.2)
+    U3_kitchen_wd = U3.Appliance(U3,1,kitchen_P,1,5*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
+    U3_kitchen_wd.windows([1080,1030],[0,0],0.3)
     
     U3_kitchen_we = U3.Appliance(U3,1,kitchen_P,1,5*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
-    U3_kitchen_we.windows([420,1380],[0,0],0.2)
+    U3_kitchen_we.windows([420,1380],[0,0],0.3)
     
-    U3_generic_wd = U3.Appliance(U3,1,generic_P,1,2*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
+    U3_generic_wd = U3.Appliance(U3,1,generic_P,1,3*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=0)
     U3_generic_wd.windows([0,1440],[0,0],0)
     
-    U3_generic_we = U3.Appliance(U3,1,generic_P,1,2*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
+    U3_generic_we = U3.Appliance(U3,1,generic_P,1,3*k,0.2,1, thermal_P_var = 0.25, P_series=True, wd_we_type=1)
     U3_generic_we.windows([0,1440],[0,0],0)
     
     return(User_list)
\ No newline at end of file
diff --git a/RAMP_v02-pre/time_series/building_archetypes.CSV b/RAMP_v02-pre/time_series/building_archetypes.CSV
index 9b8ce6af..2b522bc1 100644
--- a/RAMP_v02-pre/time_series/building_archetypes.CSV
+++ b/RAMP_v02-pre/time_series/building_archetypes.CSV
@@ -1,4 +1,4 @@
-archetype;AQUILA;TERAMO;CHIETI;PESCARA;POTENZA;MATERA;COSENZA;CATANZARO;R.CALABRIA;CROTONE;V.VALENTIA;CASERTA;BENEVENTO;NAPOLI;AVELLINO;SALERNO;PIACENZA;PARMA;R.EMILIA;MODENA;BOLOGNA;FERRARA;RAVENNA;F.CESENA;RIMINI;UDINE;GORIZIA;TRIESTE;PORDENONE;VITERBO;RIETI;ROMA;LATINA;FROSINONE;IMPERIA;SAVONA;GENOVA;LA SPEZIA;VARESE;COMO;SONDRIO;MILANO;BERGAMO;BRESCIA;PAVIA;CREMONA;MANTOVA;LECCO;LODI;P.URBINO;ANCONA;MACERATA;A.PICENO;CAMPOBASSO;ISERNIA;TORINO;VERCELLI;NOVARA;CUNEO;ASTI;ALESSANDRIA;BIELLA;V.C.OSSOLA;FOGGIA;BARI;TARANTO;BRINDISI;LECCE;SASSARI;NUORO;CAGLIARI;ORISTANO;TRAPANI;PALERMO;MESSINA;AGRIGENTO;CALTANISSETTA;ENNA;CATANIA;  RAGUSA;SIRACUSA;MASSA;LUCCA;PISTOIA;FIRENZE;LIVORNO;PISA;AREZZO;SIENA;GROSSETO;PRATO;BOLZANO;TRENTO;PERUGIA;TERNI;AOSTA;VERONA;VICENZA;BELLUNO;TREVISO;VENEZIA;PADOVA;ROVIGO
+archetype;AQUILA;TERAMO;CHIETI;PESCARA;POTENZA;MATERA;COSENZA;CATANZARO;R.CALABRIA;CROTONE;V_VALENTIA;CASERTA;BENEVENTO;NAPOLI;AVELLINO;SALERNO;PIACENZA;PARMA;R_EMILIA;MODENA;BOLOGNA;FERRARA;RAVENNA;F.CESENA;RIMINI;UDINE;GORIZIA;TRIESTE;PORDENONE;VITERBO;RIETI;ROMA;LATINA;FROSINONE;IMPERIA;SAVONA;GENOVA;LA_SPEZIA;VARESE;COMO;SONDRIO;MILANO;BERGAMO;BRESCIA;PAVIA;CREMONA;MANTOVA;LECCO;LODI;P_URBINO;ANCONA;MACERATA;A.PICENO;CAMPOBASSO;ISERNIA;TORINO;VERCELLI;NOVARA;CUNEO;ASTI;ALESSANDRIA;BIELLA;V_C_OSSOLA;FOGGIA;BARI;TARANTO;BRINDISI;LECCE;SASSARI;NUORO;CAGLIARI;ORISTANO;TRAPANI;PALERMO;MESSINA;AGRIGENTO;CALTANISSETTA;ENNA;CATANIA;RAGUSA;SIRACUSA;MASSA;LUCCA;PISTOIA;FIRENZE;LIVORNO;PISA;AREZZO;SIENA;GROSSETO;PRATO;BOLZANO;TRENTO;PERUGIA;TERNI;AOSTA;VERONA;VICENZA;BELLUNO;TREVISO;VENEZIA;PADOVA;ROVIGO
 single_family;43745;24855;23479;43236;47374;15066;74715;42884;67242;18562;25448;68448;38340;81434;58781;80599;28047;30515;36342;35496;32836;36309;37890;26188;18475;82113;16060;14599;50407;30090;21125;116364;42610;64740;17376;18336;26008;14764;67052;39430;16338;106412;47911;72471;68957;33580;49607;18861;15774;27079;26232;25873;24522;30178;14764;121224;21437;34885;70890;34293;61558;25171;20119;37942;78666;53502;51352;164779;67213;35696;115026;39429;62557;92744;67223;51413;28456;29823;83864;38383;45876;23064;61938;26050;41883;11503;30669;27828;15655;14790;14836;45018;31418;58379;18021;10774;72105;83653;25475;103436;68092;95720;39205
 double_family;23686;26994;22252;32126;31258;14086;59946;27178;41378;13114;12846;70584;26336;116732;35606;72290;22396;28996;43204;49530;44924;32572;34964;36832;26990;47702;10424;7706;24486;26724;14610;124856;40420;55444;15048;16796;30978;17306;75944;49404;20164;125664;82748;106998;43676;28776;38228;24846;14262;33160;35248;27898;32228;15344;6770;111432;15912;34218;53128;15784;29542;16762;15494;33870;69624;35018;31560;62884;32778;22184;56144;11830;38680;61346;48008;39378;19654;13772;70364;28884;31272;18658;35230;29218;51352;16144;34774;30938;18606;14418;14020;22214;46582;62230;19240;12442;67494;83276;22462;77360;68028;87242;23402
 multi_family;39864;57136;53520;60224;54144;40208;117296;53168;87664;22248;20688;141736;33920;477112;51312;162464;56544;96144;103328;147256;211344;71568;74704;80120;75224;80984;28080;58544;39080;63352;24936;665064;94680;56416;45624;55248;118624;45320;165096;125040;33352;589960;239808;262136;96176;67976;62728;72768;47224;70176;103688;59408;76288;28736;10672;340944;29520;63368;90568;28664;62224;27592;28552;100440;279432;76208;48408;63936;71176;26128;98080;10536;53544;167712;119280;65192;44744;21368;183824;42304;52184;33016;53592;52344;217400;75720;88184;65800;63720;47400;38968;89112;113424;108648;41208;25880;166768;143600;40480;130104;159104;147016;32320
diff --git a/RAMP_v02-pre/time_series/gw_temp_province.csv b/RAMP_v02-pre/time_series/gw_temp_province.csv
index 6ce53463..04dbab3f 100644
--- a/RAMP_v02-pre/time_series/gw_temp_province.csv
+++ b/RAMP_v02-pre/time_series/gw_temp_province.csv
@@ -1,4 +1,4 @@
-day;AQUILA;TERAMO;CHIETI;PESCARA;POTENZA;MATERA;COSENZA;CATANZARO;R.CALABRIA;CROTONE;V_VALENTIA;CASERTA;BENEVENTO;NAPOLI;AVELLINO;SALERNO;PIACENZA;PARMA;R_EMILIA;MODENA;BOLOGNA;FERRARA;RAVENNA;F.CESENA;RIMINI;UDINE;GORIZIA;TRIESTE;PORDENONE;VITERBO;RIETI;ROMA;LATINA;FROSINONE;IMPERIA;SAVONA;GENOVA;LA_SPEZIA;VARESE;COMO;SONDRIO;MILANO;BERGAMO;BRESCIA;PAVIA;CREMONA;MANTOVA;LECCO;LODI;P_URBINO;ANCONA;MACERATA;A.PICENO;CAMPOBASSO;ISERNIA;TORINO;VERCELLI;NOVARA;CUNEO;ASTI;ALESSANDRIA;BIELLA;V.C.OSSOLA;FOGGIA;BARI;TARANTO;BRINDISI;LECCE;SASSARI;NUORO;CAGLIARI;ORISTANO;TRAPANI;PALERMO;MESSINA;AGRIGENTO;CALTANISSETTA;ENNA;CATANIA;RAGUSA;SIRACUSA;MASSA;LUCCA;PISTOIA;FIRENZE;LIVORNO;PISA;AREZZO;SIENA;GROSSETO;PRATO;BOLZANO;TRENTO;PERUGIA;TERNI;AOSTA;VERONA;VICENZA;BELLUNO;TREVISO;VENEZIA;PADOVA;ROVIGO
+day;AQUILA;TERAMO;CHIETI;PESCARA;POTENZA;MATERA;COSENZA;CATANZARO;R.CALABRIA;CROTONE;V_VALENTIA;CASERTA;BENEVENTO;NAPOLI;AVELLINO;SALERNO;PIACENZA;PARMA;R_EMILIA;MODENA;BOLOGNA;FERRARA;RAVENNA;F.CESENA;RIMINI;UDINE;GORIZIA;TRIESTE;PORDENONE;VITERBO;RIETI;ROMA;LATINA;FROSINONE;IMPERIA;SAVONA;GENOVA;LA_SPEZIA;VARESE;COMO;SONDRIO;MILANO;BERGAMO;BRESCIA;PAVIA;CREMONA;MANTOVA;LECCO;LODI;P_URBINO;ANCONA;MACERATA;A.PICENO;CAMPOBASSO;ISERNIA;TORINO;VERCELLI;NOVARA;CUNEO;ASTI;ALESSANDRIA;BIELLA;V_C_OSSOLA;FOGGIA;BARI;TARANTO;BRINDISI;LECCE;SASSARI;NUORO;CAGLIARI;ORISTANO;TRAPANI;PALERMO;MESSINA;AGRIGENTO;CALTANISSETTA;ENNA;CATANIA;RAGUSA;SIRACUSA;MASSA;LUCCA;PISTOIA;FIRENZE;LIVORNO;PISA;AREZZO;SIENA;GROSSETO;PRATO;BOLZANO;TRENTO;PERUGIA;TERNI;AOSTA;VERONA;VICENZA;BELLUNO;TREVISO;VENEZIA;PADOVA;ROVIGO
 0;9.734428178992179;12.450834554619863;12.762938739380736;12.971187528020272;10.619437575688783;13.654651068147864;13.447533835424277;11.340608750738824;15.799900988181825;15.685191000346324;13.282778922029053;13.92443757568873;13.14674010924363;14.358398762903315;12.476351981389833;14.71386679943305;10.444981286294354;10.593056572664715;10.379940134308555;10.374106800975236;11.003033389351339;10.419426435678432;10.394209540701244;10.572520042984346;10.609108048440142;10.463608527222544;10.852184826231625;12.805620899290926;10.445526335441716;11.890373135000543;9.757910235797333;14.19944847746625;13.940172454163164;12.722476124197584;14.272280831323627;12.764075809621136;13.521252919696737;11.072629688120891;9.695739221066574;9.034695898166511;8.369068044285232;11.309149640721994;9.619266618326723;9.797418260584296;10.307182145485282;9.402393102033185;10.13376834457414;11.02554515713953;10.54919052215308;11.832782600062117;12.426933341088887;9.529707313691798;10.686861197749145;10.499585977515215;8.715249914386947;9.823072556444188;10.03849437197146;8.219510353706541;7.840396755313133;9.766440136352884;9.498814006674554;9.091530901651781;10.484762054160955;11.964450827629019;14.13341819143551;14.858033466099714;14.117213071271285;14.301305721088648;12.894270627679152;11.490731618043466;14.6457768914854;14.098739974468522;15.202131639615716;16.373398762903463;15.511298306282383;15.437154470665844;14.88686800323338;13.872749240165849;15.48561337477547;12.57546497294905;15.534335998156765;12.603688435898494;11.972210453631291;11.352980673341282;13.111986768525249;11.67044218134253;12.228640507759245;10.374590262382398;10.918425878820639;12.989208185881827;11.881359668775138;10.731474804049519;8.996468532689274;11.579677577230957;9.525476663988949;8.582546051220572;10.492489401594133;10.78443368467909;7.176862510782106;10.502458065807286;10.736348253249961;10.293615697324327;10.20196044618269
 1;9.709316092929345;12.440677976916607;12.72587648160218;12.944537043657217;10.589083180662593;13.617588810369307;13.4201258841847;11.321103163050763;15.780395400493765;15.654836605320133;13.245716664250498;13.89408318066254;13.109677851465076;14.328044367877125;12.439289723611278;14.68351240440686;10.448090819240024;10.589947039719043;10.376830601362883;10.370997268029566;10.981893436567987;10.41631690273276;10.391100007755572;10.569410510038676;10.58878226672054;10.453451949519287;10.842901323567444;12.796337396626745;10.435369757738462;11.860742398252533;9.75746575342468;14.16981774071824;13.951199097292324;12.697364038134754;14.239123853808458;12.77596925074387;13.52524931081267;11.070407934767205;9.699735612182508;9.032474144812825;8.366846290931544;11.314915933083338;9.623263009442656;9.802300325653556;10.316465648149462;9.409041913009737;10.123611766870884;11.029541548255464;10.524858911653329;11.829673067116445;12.4247115877352;9.527485560338112;10.698754638871879;10.469231582489025;8.730572752260873;9.832356059108369;10.028337794268204;8.230536996835703;7.844393146429066;9.758032459629973;9.509840649803714;9.102557544780943;10.494045556825135;11.979773665502943;14.096355933656953;14.827679071073524;14.096887289551685;14.270236662446626;12.884114049975897;11.466400007543717;14.604660430896978;14.064906402099904;15.171777244589526;16.343044367877276;15.480943911256192;15.406800075639653;14.868188389503457;13.835073442576999;15.45525897974928;12.545110577922859;15.496660200567916;12.59353185819524;11.978859264607843;11.342824095638026;13.100960125396089;11.672663934696217;12.203528421696411;10.385616905511558;10.929452521949798;12.970528572151904;11.8923863119043;10.708725541211638;9.004876209412185;11.576568044285285;9.522367131043278;8.61217678796858;10.500018760999708;10.77515018201491;7.186146013446287;10.482952478119227;10.726191675546707;10.295837450678015;10.204182199536378
 2;9.684984482429597;12.431394474252427;12.68943874598077;12.918651923284365;10.559452443914584;13.581151074747897;13.393475399821643;11.30242354932084;15.761715786763842;15.625205868572124;13.209278928629086;13.86445244391453;13.073240115843664;14.298413631129115;12.402851987989866;14.653881667658851;10.452087210355957;10.587725286365357;10.374608848009197;10.368775514675878;10.961567654848384;10.414095149379074;10.388878254401886;10.567188756684988;10.56927667903248;10.444168446855107;10.834493646844534;12.787929719903834;10.426086255074281;11.831844100009487;9.757910235797333;14.140919442475195;13.963092538415058;12.673032427635004;14.206653296274762;12.788725965576887;13.53013137588193;11.069074619358972;9.704617677251768;9.031140829404592;8.365512975523309;11.32156474405989;9.628145074511917;9.8080666180149;10.326622225852718;9.416571272415313;10.114328264206703;11.034423613324725;10.501314986697972;11.82745131376276;12.423378272326964;9.526152244929879;10.711511353704898;10.439600845741015;8.746742220223839;9.842512636811625;10.019054291604023;8.242430437958436;7.849275211498327;9.750503100224396;9.521734090926447;9.114450985903677;10.504202134528391;11.99594313346591;14.059918198035543;14.798048334325514;14.077381701863624;14.239882267420436;12.874830547311717;11.44285608258836;14.564087915747411;14.031749424584735;15.142146507841517;16.313413631129265;15.451313174508183;15.377169338891644;14.85034028490436;13.798011184798444;15.42562824300127;12.51547984117485;15.45959794278936;12.58424835553106;11.986388624013419;11.333540592973845;13.090803547692833;11.675773467641887;12.179196811196663;10.397510346634292;10.941345963072532;12.952680467552808;11.904279753027033;10.686777681588781;9.014159712076365;11.574346290931599;9.520145377689591;8.642531182994771;10.508426437722619;10.766742505292;7.196302591149543;10.464272864389304;10.716908172882526;10.298946983623685;10.207291732482048