From 6c5b8295ca31e2bec5ac7ef1faaf01e47a394f3c Mon Sep 17 00:00:00 2001
From: Luca Lombardo <l.lombardo@protonmail.com>
Date: Wed, 9 Mar 2022 22:39:31 +0100
Subject: [PATCH] automatic benchmarkig (finally)

---
 filters/actors_graph_filter.py                |   9 +-
 scripts/actor_bench/bench_me.sh               |  16 +++
 scripts/actor_bench/top_actors_50_c.txt       | 100 ++++++++++++++++++
 scripts/actor_bench/top_actors_50_h.txt       | 100 ++++++++++++++++++
 scripts/actor_bench/top_actors_60_c.txt       | 100 ++++++++++++++++++
 scripts/actor_bench/top_actors_60_h.txt       | 100 ++++++++++++++++++
 ...op_actors_c_70.txt => top_actors_70_c.txt} |   0
 ...op_actors_h_70.txt => top_actors_70_h.txt} |   0
 scripts/actors_graph                          | Bin 0 -> 68992 bytes
 scripts/actors_graph.cpp                      |  14 ++-
 tex/main.pdf                                  | Bin 306485 -> 306485 bytes
 11 files changed, 434 insertions(+), 5 deletions(-)
 create mode 100755 scripts/actor_bench/bench_me.sh
 create mode 100644 scripts/actor_bench/top_actors_50_c.txt
 create mode 100644 scripts/actor_bench/top_actors_50_h.txt
 create mode 100644 scripts/actor_bench/top_actors_60_c.txt
 create mode 100644 scripts/actor_bench/top_actors_60_h.txt
 rename scripts/actor_bench/{top_actors_c_70.txt => top_actors_70_c.txt} (100%)
 rename scripts/actor_bench/{top_actors_h_70.txt => top_actors_70_h.txt} (100%)
 create mode 100755 scripts/actors_graph

diff --git a/filters/actors_graph_filter.py b/filters/actors_graph_filter.py
index 1a4f598..753e6c8 100755
--- a/filters/actors_graph_filter.py
+++ b/filters/actors_graph_filter.py
@@ -1,4 +1,5 @@
 #!/usr/bin/env python3
+import argparse
 import gzip
 import requests
 import pandas as pd
@@ -6,7 +7,11 @@ import numpy as np
 import os
 import csv
 
-MIN_MOVIES = 70  # Only keep relations for actors that have made more than this many movies
+# MIN_MOVIES = 5  # Only keep relations for actors that have made more than this many movies
+
+parser = argparse.ArgumentParser()
+parser.add_argument("--min-movies", type=int, required=True)
+args = parser.parse_args()
 
 #-----------------DOWNLOAD .GZ FILES FROM IMDB DATABASE-----------------#
 def colored(r, g, b, text):
@@ -66,7 +71,7 @@ df_relazioni = pd.read_csv(
 df_relazioni.query('(category == "actor" or category == "actress") and tconst in @filtered_tconsts', inplace=True)
 # Returns an array of unique actor ids (nconsts) and an array of how many times they appear (counts) => the number of movies they appear in
 nconsts, counts = np.unique(df_relazioni["nconst"].to_numpy(), return_counts=True)
-filtered_nconsts = nconsts[counts>=MIN_MOVIES]
+filtered_nconsts = nconsts[counts>=args.min_movies]
 df_relazioni.query("nconst in @filtered_nconsts", inplace=True)
 
 # Now select only films and actors that have at lest a relation
diff --git a/scripts/actor_bench/bench_me.sh b/scripts/actor_bench/bench_me.sh
new file mode 100755
index 0000000..3a28876
--- /dev/null
+++ b/scripts/actor_bench/bench_me.sh
@@ -0,0 +1,16 @@
+#!/bin/bash
+cd "$(dirname "$(realpath "$0")")"
+
+for minmovies in 50 60 70
+do
+    echo "##### STARTING FILTERING FOR MIN_MOVIES=$minmovies #####"
+    cd ../../filters
+    ./actors_graph_filter.py --min-movies $minmovies
+
+    echo "##### STARTING TOP-K CLOSENESS COMPUTATION FOR THE ACTORS GRAPH WITH MIN_MOVIES=$minmovies #####"
+    cd ../scripts/
+    /usr/bin/time -o actor_bench/time/top_actors_${minmovies}_time.log  ./actors_graph actor_bench/top_actors_${minmovies}
+    cd actor_bench
+
+    # echo "##### DONE...\n #####"
+done
diff --git a/scripts/actor_bench/top_actors_50_c.txt b/scripts/actor_bench/top_actors_50_c.txt
new file mode 100644
index 0000000..96ec58d
--- /dev/null
+++ b/scripts/actor_bench/top_actors_50_c.txt
@@ -0,0 +1,100 @@
+489	Christopher Lee	0.36884
+1725	Omar Sharif	0.366906
+626259	Franco Nero	0.364897
+323	Michael Caine	0.357953
+106387	Rossano Brazzi	0.353559
+1884	Max von Sydow	0.351983
+1626	Christopher Plummer	0.350356
+6573	Philippe Leroy	0.349139
+308	Ernest Borgnine	0.348303
+1036	Geraldine Chaplin	0.347625
+7042	Herbert Lom	0.347275
+302	Jacqueline Bisset	0.347166
+722636	John Rhys-Davies	0.346818
+1012	Claudia Cardinale	0.346405
+1424	Udo Kier	0.345885
+1016	David Carradine	0.345647
+172	Harvey Keitel	0.345453
+1868	Michael York	0.345388
+53	Robert Mitchum	0.345237
+728	Mario Adorf	0.344742
+2145	Trevor Howard	0.344699
+1934	Kabir Bedi	0.344035
+51	James Mason	0.343586
+125	Sean Connery	0.343564
+312575	Giuliano Gemma	0.343074
+1657	Oliver Reed	0.342883
+1698	John Savage	0.342628
+514059	Virna Lisi	0.341781
+442	Rutger Hauer	0.341338
+564	Peter O'Toole	0.340036
+24	John Gielgud	0.339744
+554	Sam Neill	0.339619
+1262	Ben Gazzara	0.339327
+140649	Mathieu Carrière	0.339202
+454	Dennis Hopper	0.338475
+367	Gérard Depardieu	0.338041
+1768	Rod Steiger	0.337958
+63	Anthony Quinn	0.337876
+1426	Ben Kingsley	0.337834
+1703	Maximilian Schell	0.337814
+603402	Jeanne Moreau	0.337814
+681566	Michel Piccoli	0.337669
+603	Vanessa Redgrave	0.337011
+18	Kirk Douglas	0.336847
+800	Armand Assante	0.336703
+919	Senta Berger	0.336498
+616	Eric Roberts	0.336416
+908919	Eli Wallach	0.336334
+1811	Peter Ustinov	0.336273
+627	Greta Scacchi	0.336171
+514	Michael Madsen	0.336089
+1638	Jürgen Prochnow	0.335987
+148041	Adolfo Celi	0.335763
+842	Martin Balsam	0.335681
+1285	Elliott Gould	0.335457
+362735	Robert Hardy	0.335173
+59	Laurence Olivier	0.335051
+601377	Fabio Testi	0.335051
+40545	Féodor Atkine	0.334949
+5078	Stacy Keach	0.334888
+366	Catherine Deneuve	0.334726
+1159	Faye Dunaway	0.334584
+1954	Claire Bloom	0.334564
+348	Tony Curtis	0.334544
+1128	Alain Delon	0.334544
+4486	Bruno Ganz	0.334463
+432007	Curd Jürgens	0.334402
+1417	Brian Keith	0.334281
+1673	Jason Robards	0.334241
+78	John Wayne	0.334059
+457	John Hurt	0.333998
+1648	Charlotte Rampling	0.333837
+661	Donald Sutherland	0.333535
+4051	Brian Cox	0.333535
+483	Christopher Lambert	0.333254
+670964	Raymond Pellegrin	0.333153
+587	Donald Pleasence	0.333093
+734	Eddie Albert	0.332893
+1428	Klaus Kinski	0.332792
+32	Charlton Heston	0.332512
+112	Pierce Brosnan	0.332472
+47	Sophia Loren	0.332432
+1421	George Kennedy	0.332352
+948772	Susannah York	0.332352
+2094	Vittorio Gassman	0.332253
+34	William Holden	0.332113
+768334	John Saxon	0.332073
+473228	Hardy Krüger	0.331794
+6762	Saeed Jaffrey	0.331635
+721073	Fernando Rey	0.331575
+1229	Glenn Ford	0.331297
+148	Harrison Ford	0.331257
+1072	Joseph Cotten	0.331218
+660327	Irene Papas	0.331178
+420	Valeria Golino	0.331079
+2072	Mel Ferrer	0.330901
+404	Jane Fonda	0.330881
+57	David Niven	0.330821
+44	Burt Lancaster	0.330821
+181305	Valentina Cortese	0.330663
diff --git a/scripts/actor_bench/top_actors_50_h.txt b/scripts/actor_bench/top_actors_50_h.txt
new file mode 100644
index 0000000..bd900e0
--- /dev/null
+++ b/scripts/actor_bench/top_actors_50_h.txt
@@ -0,0 +1,100 @@
+489	Christopher Lee	2207.68
+626259	Franco Nero	2190.57
+1725	Omar Sharif	2184.83
+323	Michael Caine	2140.3
+106387	Rossano Brazzi	2121.77
+1884	Max von Sydow	2115.4
+1626	Christopher Plummer	2114.6
+728	Mario Adorf	2097.13
+1036	Geraldine Chaplin	2093.43
+1012	Claudia Cardinale	2089.2
+308	Ernest Borgnine	2088.98
+1934	Kabir Bedi	2086.43
+7042	Herbert Lom	2081.48
+51	James Mason	2080.62
+53	Robert Mitchum	2080.42
+302	Jacqueline Bisset	2079.78
+1424	Udo Kier	2077.98
+1868	Michael York	2076.87
+2145	Trevor Howard	2071.6
+172	Harvey Keitel	2069.92
+6573	Philippe Leroy	2062.48
+1016	David Carradine	2061.68
+367	Gérard Depardieu	2059.72
+681566	Michel Piccoli	2055.93
+312575	Giuliano Gemma	2055.85
+63	Anthony Quinn	2054.7
+722636	John Rhys-Davies	2049.67
+1703	Maximilian Schell	2049.58
+514059	Virna Lisi	2049.12
+1698	John Savage	2049.02
+1657	Oliver Reed	2046.18
+140649	Mathieu Carrière	2046.07
+454	Dennis Hopper	2046.05
+616	Eric Roberts	2044.83
+1768	Rod Steiger	2044.3
+919	Senta Berger	2042.07
+564	Peter O'Toole	2041.05
+125	Sean Connery	2039.8
+603402	Jeanne Moreau	2039.27
+1262	Ben Gazzara	2039.15
+442	Rutger Hauer	2039.02
+432007	Curd Jürgens	2035.47
+554	Sam Neill	2031.75
+24	John Gielgud	2031.38
+603	Vanessa Redgrave	2029.38
+366	Catherine Deneuve	2027.55
+18	Kirk Douglas	2026.52
+1638	Jürgen Prochnow	2024.43
+1426	Ben Kingsley	2023.53
+78	John Wayne	2022.88
+908919	Eli Wallach	2022.88
+721073	Fernando Rey	2022.72
+800	Armand Assante	2021.68
+4486	Bruno Ganz	2018.93
+601377	Fabio Testi	2016.22
+52	Marcello Mastroianni	2014.82
+1128	Alain Delon	2014.03
+2094	Vittorio Gassman	2013.97
+627	Greta Scacchi	2013.8
+587	Donald Pleasence	2013.68
+1673	Jason Robards	2013.68
+1811	Peter Ustinov	2013.18
+1159	Faye Dunaway	2012.85
+59	Laurence Olivier	2011.62
+320760	Annie Girardot	2009.32
+661	Donald Sutherland	2008.93
+734	Eddie Albert	2008.85
+1417	Brian Keith	2008.3
+47	Sophia Loren	2007.97
+1648	Charlotte Rampling	2007.92
+5078	Stacy Keach	2007.62
+32	Charlton Heston	2007.45
+704719	Francisco Rabal	2007.12
+348	Tony Curtis	2006.8
+842	Martin Balsam	2006.52
+483	Christopher Lambert	2005.17
+1229	Glenn Ford	2004.83
+670964	Raymond Pellegrin	2004.4
+514	Michael Madsen	2004.4
+1954	Claire Bloom	2003.9
+6762	Saeed Jaffrey	2003.22
+1285	Elliott Gould	2001.4
+40545	Féodor Atkine	2000.97
+44	Burt Lancaster	2000.55
+1922	Jean-Pierre Aumont	1999.3
+813961	Elke Sommer	1998.88
+457	John Hurt	1998.47
+1428	Klaus Kinski	1998.25
+473228	Hardy Krüger	1998.05
+57	David Niven	1997.4
+768334	John Saxon	1993.6
+660327	Irene Papas	1992.73
+181305	Valentina Cortese	1992.27
+532	Malcolm McDowell	1991.62
+2072	Mel Ferrer	1991.2
+164	Anthony Hopkins	1990.75
+1588	Jack Palance	1990.27
+1421	George Kennedy	1987.92
+1682	Mickey Rooney	1987.43
+316284	Giancarlo Giannini	1986.93
diff --git a/scripts/actor_bench/top_actors_60_c.txt b/scripts/actor_bench/top_actors_60_c.txt
new file mode 100644
index 0000000..f019879
--- /dev/null
+++ b/scripts/actor_bench/top_actors_60_c.txt
@@ -0,0 +1,100 @@
+1725	Omar Sharif	0.368023
+489	Christopher Lee	0.364781
+626259	Franco Nero	0.360217
+106387	Rossano Brazzi	0.352027
+1884	Max von Sydow	0.347446
+323	Michael Caine	0.347381
+7042	Herbert Lom	0.345492
+6573	Philippe Leroy	0.344684
+1012	Claudia Cardinale	0.343431
+308	Ernest Borgnine	0.34308
+1868	Michael York	0.342315
+1934	Kabir Bedi	0.342219
+1626	Christopher Plummer	0.341807
+1657	Oliver Reed	0.340354
+1424	Udo Kier	0.33979
+2145	Trevor Howard	0.339633
+302	Jacqueline Bisset	0.338634
+722636	John Rhys-Davies	0.338634
+1698	John Savage	0.338572
+1016	David Carradine	0.338541
+1036	Geraldine Chaplin	0.338417
+125	Sean Connery	0.338106
+53	Robert Mitchum	0.337453
+514059	Virna Lisi	0.337332
+728	Mario Adorf	0.336439
+1262	Ben Gazzara	0.336378
+442	Rutger Hauer	0.336347
+172	Harvey Keitel	0.33604
+312575	Giuliano Gemma	0.335154
+51	James Mason	0.334605
+554	Sam Neill	0.33409
+1426	Ben Kingsley	0.333848
+919	Senta Berger	0.333335
+24	John Gielgud	0.333094
+842	Martin Balsam	0.332883
+908919	Eli Wallach	0.332823
+1811	Peter Ustinov	0.332733
+454	Dennis Hopper	0.332673
+514	Michael Madsen	0.332523
+601377	Fabio Testi	0.332313
+140649	Mathieu Carrière	0.331984
+148041	Adolfo Celi	0.331446
+800	Armand Assante	0.331386
+1285	Elliott Gould	0.331178
+6762	Saeed Jaffrey	0.331089
+616	Eric Roberts	0.330881
+40545	Féodor Atkine	0.330613
+564	Peter O'Toole	0.330495
+1638	Jürgen Prochnow	0.330228
+367	Gérard Depardieu	0.33014
+1954	Claire Bloom	0.33008
+1703	Maximilian Schell	0.329814
+4051	Brian Cox	0.329696
+681566	Michel Piccoli	0.329549
+348	Tony Curtis	0.329402
+1768	Rod Steiger	0.329343
+366	Catherine Deneuve	0.329255
+603402	Jeanne Moreau	0.328931
+78	John Wayne	0.328873
+483	Christopher Lambert	0.328843
+63	Anthony Quinn	0.328785
+670964	Raymond Pellegrin	0.328785
+2094	Vittorio Gassman	0.328521
+734	Eddie Albert	0.328404
+59	Laurence Olivier	0.328228
+34	William Holden	0.32814
+4486	Bruno Ganz	0.32814
+768334	John Saxon	0.32814
+1421	George Kennedy	0.328082
+18	Kirk Douglas	0.327939
+432007	Curd Jürgens	0.327849
+47	Sophia Loren	0.32779
+457	John Hurt	0.327761
+1417	Brian Keith	0.327761
+1159	Faye Dunaway	0.327295
+32	Charlton Heston	0.32715
+1648	Charlotte Rampling	0.326657
+1072	Joseph Cotten	0.32657
+2011	Lee J. Cobb	0.326397
+1428	Klaus Kinski	0.326165
+587	Donald Pleasence	0.326137
+908914	Dee Wallace	0.326137
+44	Burt Lancaster	0.325963
+1745	Stellan Skarsgård	0.325906
+1673	Jason Robards	0.325848
+320760	Annie Girardot	0.325618
+721073	Fernando Rey	0.32556
+661	Donald Sutherland	0.325417
+813961	Elke Sommer	0.325417
+704719	Francisco Rabal	0.324671
+603	Vanessa Redgrave	0.324614
+181305	Valentina Cortese	0.324557
+874	Steven Bauer	0.324471
+1128	Alain Delon	0.324357
+420	Valeria Golino	0.324157
+5078	Stacy Keach	0.324043
+164	Anthony Hopkins	0.323815
+722	Joss Ackland	0.323787
+356847	Günther Maria Halmer	0.323361
+1229	Glenn Ford	0.322681
diff --git a/scripts/actor_bench/top_actors_60_h.txt b/scripts/actor_bench/top_actors_60_h.txt
new file mode 100644
index 0000000..34ae628
--- /dev/null
+++ b/scripts/actor_bench/top_actors_60_h.txt
@@ -0,0 +1,100 @@
+1725	Omar Sharif	1469.67
+489	Christopher Lee	1464.92
+626259	Franco Nero	1447.92
+106387	Rossano Brazzi	1411.77
+1934	Kabir Bedi	1401.9
+1884	Max von Sydow	1400.72
+323	Michael Caine	1394.52
+1012	Claudia Cardinale	1389.15
+7042	Herbert Lom	1386.82
+1626	Christopher Plummer	1384.08
+308	Ernest Borgnine	1381.25
+1868	Michael York	1377.88
+728	Mario Adorf	1372.3
+1036	Geraldine Chaplin	1367.33
+2145	Trevor Howard	1366.02
+1424	Udo Kier	1365.53
+302	Jacqueline Bisset	1364.65
+53	Robert Mitchum	1364.38
+6573	Philippe Leroy	1363.08
+1657	Oliver Reed	1360.68
+51	James Mason	1360.47
+919	Senta Berger	1356.15
+1016	David Carradine	1355.28
+1698	John Savage	1354.75
+6762	Saeed Jaffrey	1352.98
+514059	Virna Lisi	1352.28
+1262	Ben Gazzara	1350.15
+616	Eric Roberts	1349.78
+172	Harvey Keitel	1349.63
+367	Gérard Depardieu	1347.53
+454	Dennis Hopper	1346.4
+681566	Michel Piccoli	1343.65
+442	Rutger Hauer	1343.62
+312575	Giuliano Gemma	1342.67
+908919	Eli Wallach	1342.17
+140649	Mathieu Carrière	1341.77
+125	Sean Connery	1341.68
+1703	Maximilian Schell	1341.5
+24	John Gielgud	1341.02
+722636	John Rhys-Davies	1338.68
+601377	Fabio Testi	1338.1
+432007	Curd Jürgens	1336.45
+1811	Peter Ustinov	1336.25
+554	Sam Neill	1335.88
+2094	Vittorio Gassman	1335.57
+603402	Jeanne Moreau	1335.45
+78	John Wayne	1335.13
+1426	Ben Kingsley	1334.5
+366	Catherine Deneuve	1334.47
+63	Anthony Quinn	1334.43
+1768	Rod Steiger	1334.37
+1638	Jürgen Prochnow	1332.28
+514	Michael Madsen	1331.73
+800	Armand Assante	1330.53
+842	Martin Balsam	1330.18
+721073	Fernando Rey	1329.52
+734	Eddie Albert	1328.18
+320760	Annie Girardot	1327.87
+564	Peter O'Toole	1327.13
+4486	Bruno Ganz	1326.4
+756378	Parikshit Sahni	1324.88
+18	Kirk Douglas	1324.8
+32	Charlton Heston	1324.72
+1954	Claire Bloom	1324.1
+40545	Féodor Atkine	1324.03
+1285	Elliott Gould	1323.13
+670964	Raymond Pellegrin	1323.13
+483	Christopher Lambert	1322.98
+44	Burt Lancaster	1322.72
+47	Sophia Loren	1322.57
+587	Donald Pleasence	1322.32
+1159	Faye Dunaway	1321.95
+1421	George Kennedy	1319.9
+1417	Brian Keith	1319.28
+768334	John Saxon	1318.37
+704719	Francisco Rabal	1318.07
+348	Tony Curtis	1316.77
+813961	Elke Sommer	1316.28
+1673	Jason Robards	1315.48
+1648	Charlotte Rampling	1315.33
+59	Laurence Olivier	1314.58
+1128	Alain Delon	1313.47
+34	William Holden	1312.67
+457	John Hurt	1312.53
+1072	Joseph Cotten	1311
+2011	Lee J. Cobb	1310.9
+148041	Adolfo Celi	1310.9
+1229	Glenn Ford	1310.43
+4051	Brian Cox	1310.07
+181305	Valentina Cortese	1310
+661	Donald Sutherland	1307.88
+634159	Philippe Noiret	1307.28
+603	Vanessa Redgrave	1307.22
+52	Marcello Mastroianni	1305.98
+1588	Jack Palance	1305.75
+770730	Maria Schell	1305.25
+1428	Klaus Kinski	1305.25
+5078	Stacy Keach	1303.47
+57	David Niven	1302.37
+356847	Günther Maria Halmer	1301.05
diff --git a/scripts/actor_bench/top_actors_c_70.txt b/scripts/actor_bench/top_actors_70_c.txt
similarity index 100%
rename from scripts/actor_bench/top_actors_c_70.txt
rename to scripts/actor_bench/top_actors_70_c.txt
diff --git a/scripts/actor_bench/top_actors_h_70.txt b/scripts/actor_bench/top_actors_70_h.txt
similarity index 100%
rename from scripts/actor_bench/top_actors_h_70.txt
rename to scripts/actor_bench/top_actors_70_h.txt
diff --git a/scripts/actors_graph b/scripts/actors_graph
new file mode 100755
index 0000000000000000000000000000000000000000..1ad2cac57a30904a9fe52b5279a6a1fea7b65c48
GIT binary patch
literal 68992
zcmeFa4SZC^^*4Su$wDBIT@WNH$YK{wz(4{76Cje11n%MnBMBH^a1)XZ*_t<#4Fna4
zCPBB$YP8x?MWt0+tyZa`MN2UdLeN?bs1;v{)|b16mxzk^g8O{W%-oxsWmnYtd!FCt
z|L1CUX3or<IdkUBnR905Ue@H;=SCO|lKMnS7fO^$%I1&^k&zMES0+PBm4-?gQi2pO
z4M2Vr{<Lyxc@gf5;1M;97Vt=fR4<MqA;QrdEUBT|I)zj(+|zvy&rw6k%+plQNYNyo
z4i4|Umc!LhUyrr7Nz@Ap|2CY%)lgrLc%$s*`O3cjVd_AhHV@*VT94R8^;-YQ;jM4=
z56yy~YN+y)Xr#YX!O!3@xZA<?%0<24Fq=0osUfvNPyUDQ(x1{^o~XC+NscEtTqg!v
z4b}E8K|SKj4}Hv{;6l+}xN(RR<DiDBoK3E9EuB7Xaz$xkg{!K*A+aHKdgAnHlj^D`
zO<|acE(`uhrsgeJBw<+E2qxGlMKtoXijVR}h<qyV{MEc6qketw;mk*teKaNRpKa&A
z_ri5lhUlg`RE8eHCx%>0+YzHOj2|1HDH<kSY#`Xh_`3vuUCx&(Hytc37`gi1f7fmu
zFeA6~#jblt*KAp6cfVHKVm~YPtD}2Ht{;+xqG6xCkV_%j{mQIGqoLqsgG0l&fkDIi
zVc>~WbSe~{Ys0|b4%6;pFd`J58E7{Y{O@Q!6#S(yc-CT2LY3bg27XBxJ`{$5=Z2y4
z(lB(^hk?%wgTFfrKkZNeq5Ab^n0}27gXg6%<1!h78w&r8VdTmbhW;Zce-0O!e!ok@
zwCf0i=e#g*XBhs|1Pev~&0+A23j>dVehGyqD-8U-Fzvn=ru@P%{9F-+o)KaAc6%83
z<S=;73B$MhAU~nzdvzH4r-i{kH;kOWA4YC33<KXEMt+_QQ+{n2_~tP5KNv>NSA>B-
z8fG3148w=V!q7h_%(y=sW?ag`$kl6M%KO8Vm%_A5>z1Y84CRUY!j%6y3_s_D;lr6>
z^wN`I<QC+Ir04uFa7UQ&Y7fJIKlnCIij&IU<o#^qfpiFX2(Acto`BoXUxF9D!2uQl
z{|tl@JXP3vDm+5qX%OWbMfs!P1C>7(gr@^?bq=hDP3w6<G{>Gl2>fwD^gIkX9|r3>
zqnnpA6T|3nIF?mbS2^n3#kFpSLvq*(avi14TIVuXo!ePkkegLeUF9q&URvSgd7*PI
zUy$#fUQu0AT;a@4&RH%wF3)#QNpd*c<+ar-92L&0W$to^v$nRnHt(Vm<f8Zm4o68t
zLvnKRl%>UWt`bmC>#AC2E6H~!Czq5L*E-y_#V&W9tt2PE7(Y2_j$B7^U7c%LRnEeT
z@~45+pNyrZ##vRG14=46lIbARSzMZ&f+jd4I3NeKB-K~BuBmrAYTUK91^JHYj(m5q
z+etaoN}XlJ^%ZWgtHSAa+VYbfIXQWAmoLv@-A@DiDqU45Ozc31(|A8!)#%fSoy<uo
zsc;t865=TiTXh}%QA?;>u$WpCwadUKXK`gn6ug~OwBSH#XZ92}5~US+%XvquE9!Dw
zgs|YpAgm_NyQ=D(wQgHwPR_#o>H=au1~|>Ja4Ck#=@i+H;;K?dt#fH{MR8S$b7>x0
zN!5x}RhK#$S@}thh52ImlBe=+mANXMOY6%*_6m%tu5+@kEXdarQ`$$&f{XIqDJAZe
zHBN|1YH77&g{#zAl|!NiI;W|E=&D*?T;VEp6xS}RuXI+qxiB*Rrf@<ycf*mw(CPZ*
zsw$~<GDM-fit-qEZ9t~ks$6a{KLGzBo$o9CW9Lh95{9kTSyNG5;>@Y66w<DjrRtN&
z66WYKryKqdm<nn`&dP;--GIVil3Cy=NOI)lU*K4XK8B$h^EW@mQ9v_>Pi3G%QLZkQ
z7Gs1epiOAv6f9nVo{*|2Ug}z&OiHEB<tV9uDsa$vL-fk3G2>98*s&C9tIAPQ>@F$i
zBd@8Tx|L98m0Se{Pl1#3A$hu<wvysHx0ut~&}Q+uh8_!LA{2#~gFkSzr&U8UkzyjQ
zGA(d10F{_Iq^BDi95v3`y6P&(uzRIrc@nV)N-3yGQa^pbX}_#?Rk6v#hW-c4H^w>Y
zaWx-Mb?%3d0Vo4aibZLg82;&wyo>UuIx6@$r0V%sTw7bb(oyA97Y5GD>ZvvLZZ>24
zO=j>Rm(OO<;c^Q#KuVI73Dyl#9hmgmM5#_GtEjIl*9!g+#i^}X6?HcBC`i&n^|GV@
zBA$Xil8UKXLHd>WdlDUwQW%+&6q?5RNy;;XPQr}gNHob~N+pXgx<LLzluBReFw--{
zQ1>muP<gZhF04eS*{rK|vU$tt`mq=_*7s@Y>Uy`My3A2qT(!*UD61qbeJzmZyQh^P
zi#MaLhu=GQ`*3S|K#!Xb9!cAeC3;$!OBfI;4`5K}^p0+cD0QB6iNK(xsq>?vdKqN8
z&r(`cwE|5!7CP&&V1eH?+%j=o?Of^L10e<h6hSRq%gVrza+f(u%CDBx;+6GoXM+PO
zH5gQ1#ekL0%F62HR2lnVWQ&nCSXu0<lIk!FrJ@ZCdxOg@K`pqeD<ssZbGo%A1U1Nn
zxks5Ll{GA=S&8cCQB^e&Q0#V9R{?+~O0Fgv9c9I?3d!w4_t18oyR>BDMA~<oPRV5@
zAcj)Olq%uyd0APGsgshVd3M{JtinRXr%jrYBq5qP$L2_$G<8y1|GfUm{;A|-UB&*@
zlKUs8=#xC|m@;Xa7EA7nPVI|MnUtcH0HI`ZM_`vP3Ok9B+J6IBY#^W<J^*1P_WPpY
ze(_R+0f~`@Ft`!Flpl#*dHRh-sb~fnh!oEuT#=Fqe}sDwQiG*|_%9MA31)!rFaR*h
zHQ+zBo=Ouz;F7Ss4e-%ae=qOcl`)js3>ZBI;P#39jY!uV`z<^ZleAU9R_=Km<%dfD
zRMRX!M%pLRo;3+5KS=smq>EX8wDg5Yzw-Fi@Vw9))~Y03!}146CXudXX`^(uNV^km
zho=)MB_d6a0et?mz(wg1F4s^A97_}B@3`$Z@F<5!St7ler3Xt3M7sV=7d*l!=`xXa
zpF!ye$%!;Q>OMajWsf<BhrMF|UxR0H__1JkHit{Xzf;S13Ai~3UMT#=xFEPiv}*~1
zX9#$F5WMkMyxr6wc#XiH5eyf2<REyffae9l8?Wd1iv&KkU)@h|cta38L!1vpck_I;
zyqdmQlqa`!0si86F-heI!6)I5<dhz@AHnc)9Ui#W+S3>YzGXiz0wIxT&s}}mbnuZX
z5aDhe{45>3O9!8&gYVP9g@~}+ZXKNV#?(jA!EGuKVXqE8Uk5*?gI}bB$93}r@#jJv
zyikmz5imMmP@e`JoX#B7=a>$@Pz54X_a6vPfex<jpAbA(2Uqt`2u|axKI%RR!PUJL
z%2W3-2+mJV2r5Zi-r*tbhfv?tr%eZk!qJ}HIymV&_36^VsSWknr-PGBs86>JuI|N9
zo}z=RGEMMa9UKZpdyeVgP+NV^yF5y`h3a8|XdQe=Uuns#gG1qIPn-@Ot3f5nqJx`s
z@OT|uom-Thq=W1Ce^YgE{XTex4t|;rzpR7Pd71j;>ENfUK!k-l_$VE`NC#JS17(-%
z;AiN{*XZD9>fjAJxOx^%*^N5*7+v|Bb?~!w@KzmstPZ|j2e;_p8+Gt;I`~66_&GZG
zCLR12I`|eH+^U1O>EPpa@ZCE2xjJ~44t|~vzE1~_*TK7W@B|%P(ZMI^;JrHdL>>H?
z4o-Ww+9UKB$$z2-l%!}Ke6kL1*1?l>@HibjSqHc1;8S$)cpZGI4xXfgGow!ArRv}*
zy7C!1_;ejy*1<2(!Si(RR2{rf2T#+%i*)cAI(WGbK2ry;(ZSPo@CF@xwhrE?gJ<aA
zH|yY;I(VxNK1T;%uY;?m4`pxE!E<!wAJW0+>EN4ma9IaG6+Oj)Qye(Ofm0kf#eq{C
zIK_ce95}^+Qye(Ofm0md9Qe$1_SbULfoR!leB*IRl3Uu`5rHnbX=ijhD-cMz@h_5e
zBrv`SfoZHn<;yAOi2uDnAkfOvw6S)?zeh{chT0MTb}daCX-E8j)zY-ldc^;GElnG0
zNBp;GY1&9T;=e&llaqhMe~p%=jk6>EVl7P@W=H&&XldFgJL1pO(zHQ##GkCCX=Ch&
zf1H-44Y4EsVOp9t!jAY2TADV%j`%<QPVFyke4+nZnl`-9e=SWLUFg4-rVTFiUrW=*
z7W%KHX~P)(*V44Xh5l=4+So$>wKQ#Lq5oQ%HnPxvElnF(=)abxjc4><OVdUc`md#F
z0}K7v(r2@@K}(Ni=}(WV{kO36ds><{sL+2cO&e3_zm}#ADfC}U(?%5fucc`N3jNp8
zwDE-gYiZhWLjSciZ8V|(TADVP(0?sW8%yZFmZl9Q^j}NUMiTn3rD+2R{nyfTaDegG
z(zKC;@&8usKW!jk{IxV~9HIYOnl_Bke=SWLMd-hlrVS$WUrW=*5c;pBX+sG8*V42R
zg#K%3+5kfTwKQ$~p#NH$Hhj>3ElnFe=)abx0|)e9OVfrA`md!gWNCwzp3Tyqek1x1
zZLsPQ(gxVDq4|$=<-`5c&Y<*?p!A}kbZ$^OCn%jBluijsCkCa*2c^dZrAG#(hX$pM
zLFwZU_3z&oLFt1*=?{a_?*ye^3rhbhDBTg1{zp*ysi5><g3=ELrSAz!-x-wl1*Kbp
z(yM~f^+D;%ptLh6y(B2TC@7s9l+FoCrw64|g3^gW>G477F+u5(LFu7EX=70O_@9Et
zKPY`LDE(nj`kkQkYeDIM1*JQJ(*FobKNXbzOHlg3p!7XK={tkczMynVP<mBRx?W8y
zk3dT(|He|mED2ACaygbw*>hOA9T~DW3zo%9**C2NDnwEaL8Z!_WDZDjXI3<W-KDF0
zwy0Z%uxXVf)erP$TSs_uB-y*wN>`NSwEga3vbWi4p@gr-pxjL;k();V?`CTeg$duu
zEdjStSuHY?0JNtCOfAD;n%F%b%f7@c^guZTmG&&Hrm`=^x&i^{{uSzY-BvTjw}G~2
zY4u0`7?$5Dql?Q3Ewb0ZkWhY!GX69RVjF=?xq^~6ohM06Go|_gjQmKVuNPSCX@@!W
zbQH;`e}^$C4E1dyQ=|SdqQr9;)VKT*?Ir1`FI&#3e-U+5>LsF{Y#UHt&GH%b4-;BY
zza3_g@+i9Ee+CP(?7iM9E0v64#&ds9fT8D6;AyrtV#H)`h9Y~`MX`8iv-M^+io9N&
z>@%KqpC}9CPFemnur^Z57^)1lv%R3#KMO<4MWwxGh=?fXvSznhH&K<D*IQFLo7yNz
zgZwmV5))fRemu|LsOJBM<zH{Dp~{x}vt;iqtMb>csM7V;Xys27^XykltQqu2t#=jb
z_3Z6O<V8f}8z`vK_A9W<?;ybht_<ZO;-1$SwUIhE#z+A;R6~7a9NG}Y;^0sNVDwPE
zByi}fdqi2tpi;m{I;>m|bjmU$lyj(^9+*O^;0*CF!Qp+LWew``{a`VT;zUB^OLRXV
zNvb4Y?xuzgD{Ux}?fH(PU!Ygdk{Jq7sAbtq6z&yBo*o2}eos9g4BLqai11A8WB3V;
zpNo2S&zC(nh)J)GWQTGkkWh!&NW^iP8(F&;#=}G_GV^Gd%<fnj)1!zD@N3AigU;h$
z@?JRwnt0_cBGGHS<6dIqm^&!|znP#2ezQ3Ey#>wCLoHaqZ_fr%7UQ6NAP^4$V&zLD
zlqZ1LZ-%Ky<z><r17z>OKwh-n2MX<;fYRoaB%Aj_n|HZc(<tXt7a&SI8Cld%RU<W0
z(<H2eSdkuvrsr>jJzg2fdvObq<Q;mepsbBi%jXr3b4hvmZch0YqI?2T4kRI3y6+ef
z!&~ytClPIeh)SmB3laC{z$~STW=4s!5M=qsBSSfM6hBW=vKf|W*zRvHJ+b?Vti}CG
z2lX*DQG<0vsog)F6*t~W{qhcN72ONh{jR%o-Jb|z!?d)KjcK^<p9`y5*Zq8u#k>F2
z7wG<GN-lw+OhqzesLVWVjAg-b3xSg~a58J|u<|^rwo<hu<w8h^?AvN>lxY4?0y6w?
zU;f$p{2N5R2l-{DvCXK%?dQx(GZ$wr$}CuvFMB?NGhSXQd!xq3BUkohTMLuhngS7~
zmR?%Ayk*gt>^E&>tC%tyJ(0a5H~yZI?<F6#dD>)Ox(7++4iK9hP}0FYPp2}MMtm6N
zzjCD&dP1xTTWdJM>luqveusKQzl*S<((jEZDi*){MA1rK^f6KNLQ!-%iatjRf>Ht8
z&t?(nzLee9aD=H;35fGhO2*`}Y=dM;N@gNYX7J>2l11Op9BRooav_4}3@Db|227VB
zrQG%z(D)LEqwVCk?7sSArm-2|h~1iD_m*PDdq)N~LShYX*bHwU$uyZSi7vC5R=+N{
z>@_tzfhyCRCVRSU9);@3UfC>rYvN`$Sk}Z5-&&q`|3dcc*1=aRa?4RDDNk?D9&NmA
zX^N?NEMY@U)4Gv}<$BBGkC@EkGi%{RWty%kwMHK?4a0AyH_9q|4lzGT_RdFp*T&79
zgZ5<4zeRg5=-|{|fZF?7*Pfhq$ZecC*RpD)>?^RwLFw8(rPerwUWS)FyJYX;c=WRB
zWxL1E*abqet&owFUxQ^^ATpA2*%9!qsogB!@J$A4nOb(kF5qI1_J*pmuUzsu2U~~?
z1}528W-u`1uvDJNrP9>$B=BO7s64stiY1v>W-iIRD$~)<`pMXvO+#1!#pBt<2)0|z
z%9Aws-jP?rOaP5zMnE=*SywV<;nxl>(onVRBI-Pc{6k2e`4aEOs`>0dYR{MQX(a*(
z(#IqT-l-J59?@rq@$5HQb_dCB2bDnfJKzB0i}DH}%DwmzOO`(p>#Z7(MI1v6x(Sk5
zVE2vhfsS5;_W#LNoWrz7rc7q6NN+=y-Sa+(RQ^J|^%+;A5J7zD=U+vX)*O>P#+3ke
z8XfqhNA5IUsYX3UC!&BX6%fVA@f<~GIiBpxG(4XI*lBznzXH#zYSd$V2T|a8Q$Un4
z9M5l%-etU%po~ysJ(csOzeJkXSJR6s%S090>cbfN|MO`eAoll6k6mf~_6EE4+l)qt
z%VP!BZ`(EbC;lWKw0ZViC8NJhAN1xG<RrHxKaZ{_V`&YHtV0u@mrYXj8{p5dMvYHU
zkao;H607-D6vtNMpg^~2EE<s{NDm81e^I6{<wgo%$a{L_?T2Q|+mA)chF$WW@7yDR
zAcZo4AUe>^$4#wI^fji}V}zvoiHqc>^u1V2AT%GkhoJwbqneU-7?My5T6Y<9QO>Xg
zb+z`XzJCQW1wE9;03ZA{AsOgDh`Oz1ecfaGpUD3g@)yaT<0zv%k1~+GZKS}L_`m6;
z8X7+Yz7B!!o-p_x)Zts%58orery~HX2H(CNNam;A`@q0nG@IM<fx9rX5r#CVKJFfq
zY1-ztX3>PW@(_rlA;&DisQZ8${*dw@u-c%mw$aup)bE`O5qL9_<g_mLZU#iDK$mG-
zZ_hKzdKA{iH|;x9vx)Q}U&3V17g)u<v3r+eMo*Hxv*7}ob3LEuCLE9xj@i<7u1L4T
zDYScb$O&KD(q1*)bUV?TcF5HH6e5sTJEqkD2%|mn7j{ocw5ni81TjC+GgEUX5xE6(
zmYy|0YPxABtNgKYJ!4h}5V~VIGV1kF>NWgOC^m>eotgC7Qk1kA4#=K~Xa=fE*A(Od
zs>nTtNVyK3C5lnq?yX0sDnTS8-sc_(kM3ywXq(~Npz0Z#JlQ=*?4C|J;fOMY5C!+C
zHTj@F51r8F7y7r-s7wdFO6EaG4%r0Xuo3Q@7flZHa~b$i?qnUxkA4nU&oRW2vTwwl
z#1FaY{bRE4e6!-F0&twmWK-2{*+|7G`WpSTm6<A@$KMXqu#3#5VObW0NeDAYFs@kA
z&Sccn>9>I5%u8*aFSW5f{#+4S2T8Ahq&UTdM#@Zw+hkvEw9T_q_C{uVlQK=ivaP8$
zAATs$)`_J9m82Yx+iJ1Fpou3?5`kDz*`D^5srdjUy$(yR=XiG7XRBq|yClw@_Ko{I
z7~-<W4kvCe*db%JkIqi3v6y@_A#-w5LmaH#?Wk+_VD)S>-Pz`U7OB4Zw(1&t+A52w
zc@c_hsQz?7kLs42k!NdKL#Q$->gixhhW|!jl0EI-d<%p)E;H@lvdNxh&M<A*g{JC1
zw0YjiXg+FcxdFwp(~g+dDTn}wnX;`2(Ok~~<v6v}v=i%gw<^eNr3C4#;w5*Q?9H)I
ze^yOKtI2I;t@bp(JG!~e)chncFf#0(PwbwLl=e>uQ%=00=W%YoEHTS1Z<$)I!l>IJ
zB56zFOwF+%AKnRL7${NhRXgg<v!EybMO@S{k08h9+?Ip&gL@oe-R{WrF0$CXIn+^`
z$)2Ni^aD6%=xBW!GEBFe4HP!danv<64@W$?&EJF-Th#}d-X)gg0ERHbbYG`GgBAXl
zJ*~%G0W5qV2Z1O`&{%>lbiC(5P5w2yY@UDhOekwb?n&q}HIpv4r&Y$)Zva}q11a#p
ze<?z${|=jA8hzg<&$D~}FUoTS8vB{#`E|b@)&HbCCo(DgIpq1XkAH$Zzod5bf0I0?
zfvEpy@=Ur~=RY<bD71Ui1F#<Y`H)bj#;?ibfaay`P8edHvS}{%fS`_HzHCFDEv?hk
z{4|_6yD#xvEXsCY%72O_sVB#@tv(C=Q^tKn6RT6XjEx)+8EF3|PM!%Irl#wuCN@nj
zLaq%fp3mq~krpE>)4Re#NGiarXR#Qe>`@@2-PAJ_vOO+MvUyj;(_%dc>1UzH$OtS2
z1=Qvjgw;Dwwx!L>t6u~yMb?R8^FC@Mb4Mm+bS7G9T$Kv{<|3v64l7+mD2l2^O`8ox
zxlv<kp1=z+o5nu|2}Tu~{H%zGJFMKuo6NI$9WwC=3KVXNoVL&1NcI7`9{ntuBr4l^
z6|aP1sfrC1v2l<}NLEo_`geB%qiW=7U@>z|FF-bsr2@~Fw}Ib7nLdUWNG3>}&Ocn!
zLw=*@1;FbS**E5Sl$O)p<?i9xGA+2|b!EVW{v&09m<)yXySSg2Bzu=L{yvOxR69Eq
zloNmNq_OpmTut@JU;YjFFNj)7M446n`2*-m4o_FCMwgp5#K?cWDo^%S$wd7uqS!2_
z^_ZFufv?=&!|(w*D|6;NEaEQ!{A?6{z^la$K1^?Y$hbX=xNQP!b=-zYqHIMrI`(0!
z=-6h|M#p9W!}Eakm{h;xr2HQGJHnCnlFDyjF{}JuPFalKFS5N3^2-^&$+k`d2`azu
zxrz#QD&vW)rj97;ZA%=9ViV*kib<8624OR`+=V@8|8V?pdGMv2LG<1X!n<yjB>w~C
zCi_x$Qk*vWsj95G==CFDbrkAM4&^@|kpGJxo$~-WX8HqrPw;qG0u{_nb{Qn`dL-;=
zAG$BLdne0YM|98Wd^~7^mj4IMc{=QA-EKGtOOon8fhFQTP4=#We7#9V^V9DK0x*&G
z!n)x$C2bPG&B}n?vom@N`WxW1F<X=NzR-S}zWrI>)4l@i-{1c9AJ=~0{@V=))?=T-
z?%Qmw!L*cp8`#diPM6}~0|k=Xu&=@NfgM(Dl2Y~_4Tf>lT4X(+48?{M0n}%<vDdio
zCPY2!ta(ru*#6vuq-j{QwGc@P>6457&JeJdEt6)!Lnki$Y+>l_s3!M2R>)Lj!#<Lx
zQ8XYvV-cFS({3atuZoat-ljH;3#Z8Lp)-sXV2|DN9r~cWjp(!FS3s7Mme7<6C<^t)
zdk5>f9C^7y7A0)!=89N!@2KKotu<R4F%yYH>_muE`DpBRVL?y|yBRryT2Op1=LRe5
zHNFH2i792CJFG?EBe>BH5aR-p6gChT)M{r==yD-o^l0Z#USl(=5jV7BsK`R1QyD_C
z;WI93(P0t&=kzvPTN%IE+9$&(R$Q#R*JCB~ysNy3gvt;3N<y+<*+=~WKR8LVFgVvT
zXQTNdY<7Yn4XjO&OeA83Z9s^MY{|&RzP+#6x=}#bKwut&an05?0ZgU-ZbD)Uj$t4v
zBFD>*m3DE&theitPY+-lDI^YTL5KmTl}(Yok46=d;L?If=d7T{OqrT}%~nXZ%$v3?
z%Ch@PK_9lV;gEl%n5iFLv+P}{9L+XcjHZ@DG{iVlXn<?9nAqlB$J(QVRw9_jGI=k_
z93ApO*%3jh)F2*`4GRNrwI(41(Nu~NT_nnw5}Mh`ty0Pcp#s!+HZYQ5_>)R&u%&g_
zP4h6eirt{N2eF>rg>zTCr@~rpYdUT+-Bbk15Hpxs&PL4ibPi^L+gg5eGe0Hv?6Z3w
zg|#9{b9P0=!}EERHJ}u~gQ2GV4wxcXJ)lv%QfCfPPD{=RWzT-hl9_15)a*us-dw5a
zt8+}vZ8$b1AG1+5?2xyA0!{rGAT7`1tlEyV>Rd31pH%}%k#;&njKI#DLFsvynB1R@
zU|jNEr5IvHJJ}7Gum&hs(@ie`vFt4%5!ztwMw`T(E((3;N7xPT3wHb##cT;XX=4~1
z`4$|x7czhtIC4H>#1SxqBLFiVu<ip6Fv9}u%^V?UrZIwfV`_c~bv`pyH?v}NY~K74
z1e0a}jUNds6{X2aLyb)pQ}b(7z_XR(!sKRcK^CYXdUg$DY+<yk2WH)XGnVYbK*-+2
zOb;Q0;O+x5@UjRhX*^(j{qrt@VCKZl%(bi@Njrb%V!Y%&AdDlJOCzu+D|=qk@1J|V
zfI4{hW}r^%z|x&-Sv8KN9>@!<g;d;^z6H6&yh0_G?;gp}|BM^HRq@K1Z-Y7j@~E%A
zRkAV&8xfGqqM62*p@dcs@EAKu8G(bW2=<sjsdf=T`I_nr_JW!GNR%;>#Nln0%V#=F
z05fdr{?oW+KK6B#@nDg#3lA&DSRI(azA*<cgfOx_J7(8n@Dfm*8@!&wWZZW7M**VE
zfAZT~PG_UFkIfSQe#+MNCux7JC5Gp-8-2n)VrA*5%M3PP%6pC~duZ4o3<SX{M6<P=
z(j@BGw4m+r)o+nVV+xU+Q8{*rjoAS}Mbf}gtre)4eCSY-h_DUpL&{W!3KFi0tbgip
zb`Ez36EYh8bL6J44UolwM9;g50X0ZyNe0yckRh8Sw7a54X#(lb2O`bB1)<u~18rJE
z8jytYZ%{3&Hig~9_2^>&k{*?PkMg?-xOYJP-o-{puSq{(nslpmJ&1uaorj9STA;r&
zg`uTargpR-F~<G?WjcyAzk!iNx~~^)+Q`^$X6@V3c0r}~%214kUeY0NnVPQ!)5w-7
zvNe4N1(FN;5Q74Vp)Nih$>t1{2&X}@dp28-0V|Y95;W>&)`Vi(r)kuWn1R#|jf(n0
zp*Frr3Keabnn$5IZw%9?bduFypDqLh`g8!(r!h2i)B&i|f)g*$Y<PnPxxYG1-b+^M
za3(O1vL17ds+exd0cw(oRv=W@Cw0Z)O7#<=R81&pOX#3w20Wo<#>12<Ei<F~lqv~3
zF%n$XRv1;-HK8M=`fF9GQZc4fx06VKmJEg>gi_r^1)x;<1iOQ;W>BhxfgYh$S+=TF
z89k&}nlKhns*g4S2g&cRfeZ{SfKqJ*tWVy9^y=B6^y&~*ueM@;ANq6wVb%1h?8DHI
zKE?DWeHu@>7_M^V7TSM=p4RKr7yb>HUY|b09O5wAbL;EW4KDL1YR`LFE}yaew5K|4
zTMD4vl#fwN^YacXTUafoKmUTOv;Fla-IDFEKgR;1)1TP!eLj*Vi^ApvyB4h1pU|)E
z$cIq)KVpidk;Y1_Ib4)U>3yW!Mk54$Ny07kXA!0O6gxsH>_YI$?!}BDk)m?`CJ>|Q
zPa1fRYOX-VC55SChKi&?sN&CF<EogUqH=y&)t@9!I{mpBl1hzlM-7rsmMw-LSbs7^
z<^A+$_*-1P3}N_NTwN?*+#Rw6-5q+8GJVGDSAsYgtk^LavxVYd7}M8!BOg{08Trb6
zuTY(>)?+jtzQpwnfX$@A2W&SRBdBdEc$BqloO~@uj$N0b6Dh7Dr!`r<`{pwy0T0Wf
z`HA_c`XI_0)}C=6<%7ly(kzX{T;QppQ0Iv$5rQ}c8OnofQf#$uVWl5swUi=G)$c@?
zlj#1F=rY5`s1o<he8#)j{X{fG!w0GwfQlZ)zn8|5JFeOWfvM$DYU+la<nQYC35e7r
z<d{_JPO~^w3v|E#7ue&_^hb#DBouwhb-!Q!MpxdKc*z<FUjxIDLBnF8^cIxC7Gcv%
zQAz^3?SB*p+1@&qK7-O;I-Y)-8?iUzth4{J?zbM}*(C5hTQ9Z#97re>(|NgI$C<CP
z_*oQ>MI5F-pU5|3YQf#(R?*BaS;D`K1O3Y>?MrtqK&=L1sAmVRTtJ!bvttsrA?sSo
zI?e_){X&XgLdAUPQz)LJR(TIq9#pH$qpTNrl^BYj&8w_I0cFP?R=tkmPb03phfLb8
z!M2uvKL}Tk>6*bG9&h(ghaB;EhyOYqJYEN%h8duiY1GPe_zMKwU#u1G^cQJ`+x^1?
zoCxq}1a$Zh0<OvfA=d3j-*8|z#E~4tO&A$6Vm3h}`|YRDB^BCF!9d_@kaAWRb=&wN
zE-9*;2UHas*tg*dtGap6N<!`(vlbwd)b&VGNS+HxFg3yqX_}pY(Sykt#o@+zbQu;|
zTX+tNHo&_)th~%vZj7r(HaxC2R!d;R9*CH|j2!F*$19VmyysooGr0p%b>HA23>obk
zY^1J0QhBS_QWI<+MTYT%ZG%iU*l;9v;SUvH{nJk#Z4ETCrfGK_kQ!}YfPpcU8Ae#6
zg(!xez)c2=c#mPTZX|xuntvEJOeQ-->{%?<KW?p7&;>_$yoZ$0L_|NI|8~-9@c9d+
z`lX~csIAPVPR%jVu-^vkWCqtiLgrQp>nvMT3#as7RNc4qUr?{d_Ma**bOP2OV~MNb
zR@;@tQty@4JhE58h>g@Q58b1}#trKudL7DuoegTpfKBBFtQ~5N8?b{B69#N53|NNH
z8)YR6c0CYk7A#>`a{u)`7VHpZ+soX7O*J)d0$O3g`Vj4J!CnW5uwaLHVlaf$$cAC`
z&phEW?Heyqm;19}5x7YUe<8PAdrdd314`Np$dkQ8tlU(EiLj0#6(;Kv6tN}X%9X~2
z-(V~`7p#bheSlyNh&_;x`f<WLksI!`N4OgVlHHD8(}s}f_5FzU@AYkfpx3xMj2@?c
zPmezamt}8C9xY}qM@`LlLOo->#6DQB-DgY&ShKhIeY`xnr$>JOUN`L1E*+5k{^#98
z=mwu>ch8<yJ6(YsbBI=8vbtviGrOoag;oHs@gB;cz07miiZG@H>1;Tz(`=qM#6APv
z3(Sklo|$1;eL6KbUe_Q&*I>8%dG~OeXFIj{vg#k>>L4}v0@e#EWm?B>@B4<9poN|h
zef<GO+%xQAXCHIX)Z)0At1WA2KasBfecJO8ie`gI&r8sP=dyn6a=TFG`ck`hZk~PS
z+(P#%MsZVHRHi2bS5M|bCQ{mI`Nw_5)sUoVSau#ky2sp#9$+Vs6hi+t7g*MOz!>ou
z%loqDebKIupCCPe>a-`4p?v)gIERaTqVf7B*@x>HC^ik(`;-HzK<!P*;jP!-h~+IA
z@xK20Ncd42RnkpV3bG+9^|YnhhZGJm$Uv_!d;5CjU&RcEModh!A?(87JLPx(lLi(y
zwokZIegozBjPt8`?Rafr(CcxZv6k|oUE0u!Qu#d9*=mgkIf|LY)MqTNLIJ>z5gBU1
zovc~oae>@|#po-6h!iGUeAETUXZ)^`S7l3wZsAdKsXZuJS_E~rnS%!9hMlx_>TEM+
z_v1c)+PkJ^I{ult0AhAGBI?+fTArbkAdC;Y`m{?~Z~;uK3vkq?jYlr#TZ@s<lMcj2
zSgQZX3HbrmgD9*24GaL63s#i4KuU}|9eaocs#@loHf$$*BTC@f6S)wp(LGXQPzGFm
z`&-bM>c8}%T6;27*#9{J)hrO#Ds09tUVx4GIE+B$8#aRJv$8ONlL3X;B~knrJZ`1<
zvfU_nJ7fJU!Gw#jCZT8xrk=7M+4KepdjlE3-Z=nHC7>_8lnSh%I2nMSLfl_RE;9gE
zQr5S?sv1{Qp*JaxrOf}3h{MtI%OdXIp#eMmbFsAWik<!|w0MXAsIJWCi1$0b%i!mC
zmy%hOx!C6UPFy3u;lMtKj!X-I+_cNk&)y=T0==E{%orzFO#_u<Q@LTqE_abNQN(f*
zV2co9vXn@sIgpPd?b~kzKp6s7usdZ~sEU%`!mYA4n&CyT>!0~0&=ZoL$$kE@+=+FX
zqz{MFAT3(<%sobQ7B;mTn!XugYQ_ysX3=C&vFGCPqde3}tQVU$o_G>PS@z`Nt)l{*
zvimA<0o?Nu0GNa$hg?I#ci2;i6O9^XPsvI=)rX3Z>HgmU{*nio9ECF5jA|*z*o&7w
zaMdcH6p~I8Z&Emsr>y88p=~6Jh;XP|JMA5_1D<wvsYy=T?H<MF=YFMu#G|PlcLi`^
zp#C6sVU7}2-o!5vkYP!f==89r->F7r6p>zGmHBql03`XT#>behV(sQNvE5W*ZNPdR
zk86-1ke=D{M3{kc(=nrI?POGyeNdRs60;$r4`qOjdv;PcA7wr!S>$cVBj*QZH?BWc
z;285hlz_s^b8&g#M|b3s;$|8qI$7CRL!U=B8-FHZTyau*6U&CD40$2@oF2OYql^6r
z;|5fs%dr)^SQ9Of4ON#ya+q$WhREdGje1lG`~|#2c^=${sR~k+NmQGR#b-%)$?Tj(
znch3BZIt$sjU8ai+5ouqu(97^6=>;DH^>^PAZ?H>MNOM`ZnVvNw%wQRn@#x0;HFi4
zDoEja54X%AIc8-u5V1=sI5%a)btuKG>6Bm9pe9){HuTvW107KVNS}SX7>oSeIOuAA
zZZV0i{2Gv-Ta1?JIQic_d)W5;^~6YQADvFh9L@QRXHy$#yKsK7z_Mx-?TGu*BM1f|
zl9fXEUmR<addH&!BN;^Q6EwJ<!?=8J{B0&(!oMmjTJbU7;vfagqwB-`J`KCv_bPah
z$+x*LpeS7fB95QAgYa}J3)>OWYXy+<I8)0jY~?Y&S`MnfvG~tStBvQeLC5Nb`shV8
z^4NV;Xo>A4F*In(*V};y;+TX&$~{Dn&v>YeDr{w2VI(Fb63Qji0k3iXGTs9EI&?0@
zkxz*DlDjU7#eGIEp+FY3t$ajnVA5L1wSdmqje81m+8gc>t#T9H7&?=@{H8X{*d3U!
znEDpUJ)8usi27oo>%vp1yI93Yed<=~C#mHdc9OcadwTmV){V%b38u)X%C0Q=My8LK
z#C0U~9@4|Ke)FT6UjGIpxZGjVCcy6Sn;Banz<kYJ!Uhp8A)8gOq^OJ3kl5uLiou}+
z7hL#4A^)p=yDG1M2)0+Lyn!;x9W;u*^gGkRorl;6q*u*Cd^E*9`+FYeYf-!ZT_`gV
zXFAgVz6R*<f31tp)>giDzgri7Rx8u)C-X{O<m$C}hyOjTOo#uUi1)1*R66s&T;Jjn
zfBO1%KKK!4eKVB)OzYe3HX4f`w!WPY#R+lgx4y|#A9DIb*SCgb$gF;S`|Y+LwZ5$<
z8R@saoqjc_@+OW#@c(3e+mi;-{q!FvTi>2T322v^rQf^0`H}sj*SD>xMC;qS=U5XD
zmQYeCrjx91esEu`Zwsh)zxC}($_&509cL9nu5UM@X5aeu7qV%z^=%@QV*mB+RUisl
zFm7N?r~H|ec)#_nl?(v!{vsUMpJ9EwklF}Z-_Bu+2d!@nFo%QIw+}IrLFDcQ2#Xuu
z)PTx;it#k$y7o5uF4nc#6jj%?Ie({CI+bg;BJ5k&-ueznpYhvbP>4Ck*0qb-U~B7I
z67o)5*Ulk)Si{)5)<N|6jHed?3t$o&Ch=hF+Dej2ud$Z$&;qS%RTNjnM;t!1NmSSP
zq=RR%buE_K2(hk>#^5%iJc|C%^(~*e{nOUBa#R)T+mf?`*SFt;f7<$X2NK%)X2aqg
zyuPg>UO-I4t#66waOm~zGZ4Yox35q}+03|~{?v3RhTYEssW1JO6vSsyT)(~@$3oa|
zeKTO8<bV$U8M^pYTD;x=Yh9d{Q-Q$0PJ?&)@6h5Men}Vq1m*kIH+p}IUYYV<oIx-8
zc;_X_zDthLYgc$r?sR68c=BLFXC;ws(cWtJE+gk&o_J}zy#4D)y5u7_?G4Bi=cUTq
z-ygtVlk1Ybms(K7OhsfvmyAxc$3%!%qZN2Zz%h#DC*X5m#|+CCv3H4-nZzLPBHS0i
zg;c!vk|cXD!LzV^lZRvmW>-Gqt?CO!ZA2Og{|n5h8<v&I=+xvddG9vJx}><zrxl_^
z?)e=?Vib+a6YyNh*!y$+&I{sbYLq0pp+Ir%REBes+RuHBMn1W(-0Wc@j`+<K!NYtH
z9%b?My7)#lPFG-32H{4*mDYmfgE??>;Pb{&E^b2Hx*Iw6iEeA$d|&n#n1$r!d5sTX
zv1g72{lmyG&eqZ5KQ;q1mhTtNEEM~bV|3ev0P_9G7*b!fKZzYq^#5W)hF2ktX{hCd
zrB>i89FjJs5o(2KT6HT~Z*i=-8AOfuQ7aLT7m9GrizX>CL1%<E4gtO!b`t9_)!+<Y
zVNdv2dokDF08W!*wFx+a9eU==;B_ow+!o~1qnhRvc8PSi2zwDK%V4^ZC2gU5zc?fS
zvFwyVZnAtwdI?(R8-v@%_|wt`$(c>1<7AVq3lcW~pM!Zt{vGbl&5(UV%uVmjmJ{}v
zZeECrbh{jv-{e=`m%rRAk2{@Rg|7cQafqo#j1$g<*j*6ZiDPO4e5DP=&EJBg5>}2{
z60LqugDa!urtKMW(;>Xl_kgvVi1zX$AKrsky5&IwY-w+snn%!xqvZ^gA^z>f+ua3l
zO}+R$$D`uL8<FD6!Mtt9J7h*;KzlT(cGC%P8>(T;`PP3$QRub+#q;Ea4Z{oXM@$oT
z!xP(n#8e1x7l_H{^`=ax1%}q#@dGgp?1Vi1Ou))oPgrl^lhJK+%u(iKa(^;e^(W!q
zpp*T%x)@|as7)<J(8m6a_~B0GGsS3BU4+l3QDxh_g=qUXlm$K)DhFsUg<8Z`G~L?=
z(2OgZrshfvAMQnEdRKvwDJiIcsawuE!H(K}L(c%LkN(xdAI5%uAN|+~XZQGU-{e!~
z54ZAt@OO(;(pFnmu~!|+Y4fKDr2U<;Kt+)<j&}G|(y&DhU^HH8sXvRo5-9d>Y)zd}
z_B330#TF{Y#a4o|<UWBxm8d=`J^utLRfXnYbmms{SF*kGfsA{hww4#`|Hy_Lr#v)6
ze1$kJYvxkryOh+qshP}`GE)^=!0%h6*~?5z@mA}<GoapiS=*o&8GRlnZU_;LEmuNq
z+nPE+a)s4wYPpvNONgl^wz&9`VIWCuaUG{@?4rXK|7;2P;%$h7FYh)fIZx4dARvV;
z^P>sQ&Sx4RG%KLg2iiQnwuCmk)@sM0M$`Lk^7gNyaJ$vkbZqvTS^g%-pr+5uOp|Nk
zOgBBkV3TX&O*j2kL{m*SQAu<xgY|a~5)gB@HJ<83FUNcNyU=a{V0IF690`EkHIR86
zeJNHek#!~Q6z7AiI*aU`1MR<Eo;a9MGc$HMCahwXJ#(UAAmh4G`VHuzG8!FYh9GqE
zT=;oRpLHl5PZB3m4$<otG>>M17|bK8wimD-6FV2N(M%0<E|SFZv~v-<<8}-qD?i6q
z(twG!xF?Eh2y7+(POQYuR)q@cSK~Xlnn3Y3mc>`)v}2~`7qLS}qC&b?U?erIUzjWS
z!u*FP$abpwkIjQUtEOETw_G7l<R5gS5`75b5QJ(cgerp8<Tml*FE(XKm$NeB{of7(
zkf{1^g3$EYBTUVzi}rIE6t(02<>)x{k1ypC@ZH}4eQSrcN}_i26_^R$HB8ioDQ|*K
z5;Xdkr3p&@3`UimbzxLNH;f4Ha5-T&j1{~9)8%%Mj2e~Xzp{I^ZvX3F)8OHX4#?X^
zhKBMqvWQFj0Fk|g(aadZRZf=nJ)#;T?bPYl_?yk#xc0ALxKfVeD!&~lX$WZvq+U^F
zI{S0mJ;&?`_{zXBm{S1^VpqUE@c}-F3Gc`-1v2FA-2-gfzm2pTy5;T1VNxk_!mcB-
zX~M3RXV^TSHhp9uq_#bN+n`U6*h~{hpSNXVmyzrG2``b3XK~cojn!%88JG=C-7H_;
zb4VV<u%TEXUd%qc7s3;TuVYN;LcJFN#Du{wFig%Ke9Uyyi%<icXU880&-iqxy&Q}h
z3g)ZR;erWZ7VV>UC{J%<(_udbicN<vBDLwz4p`3+W^2&p8J#vxTVT2VV>V9)vkdG|
zcJ<(TjB~ba`vI`ygGhS2DTYwD97ID4eCJzeO2?5pYXoz#BF=_3#T`m+zv%6>?Z*b#
zebYdk0>0zx4$2JK(9!fEOo5Ju*(8K<$+(n{j{$6ECr-ey9vGE-9>cNMm`g9?hLY))
z{G(XHKEV&<@+&aFpF>|7YU;?aVPU7Q51n8u6`<?FR?_X(kz&I4V+!%{tF|HNLqXaO
z)4Jurt0h-`;V+|h*naFSXiB$K`pE9UdW1zO{c6erhH_;)ZOgF5ElJ&$orK|1Z;7l=
zpn`08MgdGOD)K$p2aGf?*@q7P0O9AKad4OPeZyh>qlCCq>G}&*<5z0feUB%;pw*%?
zIyddRy3_IHDmHmYS19%1TW;EyD?U+m4V+}{t9*sX^e;zU8qd3tuz90!#b9KsxxX{#
zz7YlZ3zPMv4454Q?H%vGiMY-<<HpeFI73=q=IlwogtEYy8s$$=qCuP)fo9dyiksp!
z&KyS<v0$*1fWyjuqK&>Yz&M4sKck3Ktm{<}QNCGCa>8F({aC4bgmdbT;22F9_Qf$M
zqlP%8otW6iJhx1oIflBluI?kWKAa(?{b%_o8;$}6CwE3G6G0KcEBv828H-F3C7AOw
z$NY7%Dy3UL1B2r~Ct40GGuWtMuze#ZoBA^t$Kc>A3UMaSV2MxVgzanzZ2Bs~T_iVs
z73t2wFRmd!hVxD^2ev2_1H3cb>Gt0R7>+lR{I~Il#eXx8nEh*5BxUcVm?kzTeZCN*
zsvK>)$w8S-ZRUQ!`2t8zTgqKjZz41gByT$Ss@w(+D(6$|CW_6$53LXBX&64`)jz9V
zafiQab6@-=U3`a#hxGpzY5rgQ|Ahay5k`Gz|8MGG$N-dnkpG9lWJ+?<P!f%lbx8ko
z|BsLb`+qaXG!}50R_pw~2Y-nFS9=ow4`U(weop_7Z9DzU{@?9vk@?B~-y!tzr}}?e
znQ5dN*3AEdzn2Xqz#P9+77-5NepB;YatOVVq$s+m2<bE%lpJ^ewvj~_<o=;VMoZgj
z2i=8;$9eGLg=8D8hM#)SJxqD%VQw+K2+3nmUMjrBWNJ<$>y%kd-~5SNP1FP|-f#0M
z0~YUMZt;@m*bSJrAK2$A^7F|5!hf_t8TiSG<f?xqH67Z2TufP@uuysQ87dyaf4myQ
z-{(Jm0S0OQV@4Ee`-Z*&*iZBy??qKk+6n&Sb(96tij?<As#VhZ`Hx#L$|w4de*iSt
zf5f_}?K%7?_wi3;h?3DuD_SV`aVAUwnEz4MAK^V-g#|?CJu+8c^B#rJW6os2gUmL_
z2D*Ngw%^oZ!Qz19p=`WMbp?c()_LrJJ$niB=SE)s3vNPV>%wl$hEHZ7L%8jT>B<+#
zs@=h@+BSL5C-R^jl(mD5;UlKYu<3CXKBR}u4*>1fRDh6m8EoZYU>o{RGh^1p7!It@
zB-|$DmOrX)>mB4;@-mv+D#HUy*dcrNuuUcMS#jCzmL8ga<a`-+^h|Cg-!sm1V>GH$
zG~RUM=d4SUYf?=&e#54!@K+y30;}INFc|J?9rl$}cNO<7gS^${BZ(SZ0saBrD)off
z9ViUD<Dv&Ni@lAmd|!bssup_-cF%=L81*28(VLQ(2MA5)%RrrQV21%F9N0H$W`uEI
z+3Q94M(g|RKB4Ny{oMZR5Mm)LCz>K*{MS<MzrKGznT#j+uQc@kjr%$P!V107&u<-g
zI+=0YVeh$t^&d<2@4#-q#QavCMf<8`=|Lvj<PtYIg1z<xa!B9^k~dF|;8x}c+7jO8
zK41Vo;4#$|G(Emcj>N2C6To!yBwE36PaW;3VotuE>E<ud2<FGou@*jsMj>P_9wr3M
z0!SSBbvI5RXO(I7@qf^y<SyJMS5hD~s+2fJ)1WiQ;awDilng|ROiH#vNeC(F$t7a=
zz92lgRcA2kWer<owGFpE7th5q*d-K9cD?UCgS8Rb_qO})@AJK}`|vG%?@kjg;*;y{
z|C-FlaBi-@hb<h!35L2*o#0)hF8rI38|-Rs{5@k2`u=~z)ts`CT+IXXRU=-3gXCYs
zUCmoCCjK)|=4!r$(Kyl7<cp;p7<7vzcagXUnLt@sk;;`d@aEZy#6KoN-opV<rFxKy
z&!U1%5MBc~qz73B8iWT~+UG$ozLyYpD!1H6)pQ<Y4f7y(!Grvw4vx<%zW;(XBw8VU
z;In$69iNfN^iLHoWFZp5h0I0s{PMr}nBWbX3+cw<1bsVn_!ycL!-iP>$B3c0KYS6G
z`w5c{y8Cnvk~&W5J<0$Ehgo0BBHAG8?`!Ws-&Bus)|nco9-%JtYf!D2NLZ7itjb!V
zIJ9F)n<C^`y0225$}{dE44uj)#6&&wrhZO<kY1!|Eq&IszbE+~>N8K$|7X_O!^&7T
z9LzNwfoA(Lu0?YT8^Ac)AJ@5sS24E`i!r%{bHPS1b`~vU4e$!*^!leV&emA`6L`ez
zAIBp}{x}v%*=hsR?*kouHBC2u)#nrrA#89IZ~Rd82{$Nt=zua2+)&n1><0WW{}0So
zUfsYP#i7W>s*Sys`{(uTt#p}gJrgdmes5(k((0+}3s@4>_%>bqArbfV_I;03=Q}nX
zh^OO1d=?KMBsfIdJZKqv$r;#?qO(kB;%5336@hW+LtEo0_y!~tpLl}7fw!R7Ac0d#
z<a~gu{1^fo?oyF0Vrsq@8Vw((qfJgz^Hs>o_0}VSrTHtCSb)Uyre+1jY~Gb|cFz#2
z;=oAR@w$f1n`s76wt259ls#DS64<{_fGuP@K9}+aSVf;Pjzf`nn=dmJALlYPdl{n4
zR91#vSo|x>v7NDPMaWbBK*^?AR>{4B+UW7vuxo}Ua8N+^T!-4=MHJG_wUsDHdB9EE
z{%M`=SQ}V?k451Y<dw)|_-OCvVnRv%dzl*d9Pl59K=AW=QRZc3qS|ad8k~!6k)@0-
z(Wf=>rF7QfK-S`FG&q;F2U-xJ<__MiHTR{`jRfm~`1YrFn$`a#TI7E9Dw)0o$neVE
zdWQFLsz6^E^5t;6P<b5hohn|^kvAj3hKZDj-E+{NjZpSpC(GWeRfKg6;Z+RbbwHS<
zB1D7;&F(|EU%7yaVO=i4$JYIC!{F%KFNcnlAqgC<P0%?I<&lB@3p#N-LiGPGt^bFW
zZX}olnII>*o-h0l12wkHF^CQo;R;6Q(<q4yAjC001`rHIgy`JRhcKYriUb|W;$xiq
z{pSH06LpxK=y@T-h>tX7Km=jjGAUG+payN@;}&cm_Cyssl~QKtTSycw;KC{{QnG*2
z2sfs=Kn~-1^&e2Hn0Mh@{rGphRY*^`R(GO^khy^JHzcTEtW~q$`YjEsX!UNMhgO?*
z#_M);g}+96ME$5$HCS-ay#x{zr|kTOxU&k3q3>w2&%$yUyNK|Gl(A%$B$6?!Aju?q
z-s$;EpFDsH`h==>UiSY1{gk$zM(gDIX&B1s^iu>Se~5m1<G0_VpSB`X(@&2haWehn
zr83m)_voi(ti@3JDYvh=FO>`x)eqHACaMrpcE0$H=myD-g2WHgPuoxuiYtVEdY}*C
ze&x4R>__OQWhft7Kjo@uagRjFK;nn#r_&k2zPa3|pT50Q8^3^Z7>OUJpZ<XwC(%!L
z>09uL7DDN#Yk1xd&`<M3tKXxatol|*>01rbPv6|Z`uwx$r$-21NEy2gIc%zsj5YIS
z-6zveq#rYJ1+AC;^Aq&#zwOFQQ_Ejq0I>ULv+?a~vn}Bmy;sSOYj>H}wos-wAFIq4
zImsW`wtpCfZ!XCR$Kisy&mh71^4CNozL%YaWq``<1O_?nb$qlb;cMCRmCZM81P=FT
zoyT{k2FXo3%($n5Pf^eBmDB!Rk1HSnH*ToyQnmq+-S8nDZ12o99AL-0^tEn&#2d+#
zE&H}0wmGkgg;jLr?fTW3-!H>$IM{mw?P)vQcz2?W?*}yD#pPenEeyKz|7k8R=HR>X
zEAS#rr#)epKL-u7a_#gzL}mGHsvX4mg>MMIuHC5{tNr60_#`&2=b@<!@VRGxq8!1l
zLPWqqg!#!Gc+YY0O*Z9p;iLJun&&xUx_!Gn;Rs$THMRVPI7^4;Pa%^0R&pTIJ1{rl
z050B-ilWYUdZI>M<cm6w;=9>}y96@5_O6MC#kwX7leK<gnW=gNu2w7oI~QRidS{$&
zQN;J9@!_V2&^am(W1t=#{?eXsR4D-8dUjGi&Rp@XO+eX!J_Diq@t%FOzw&o1y7a8U
z?Mc})!m12M4cSXgb;^cz|3c(Zxo23ZKwvChiNcB0cG)+Y<VEViCt=eU&=5V-%9z<q
zQ2zc}fz9(R7HNDe9s{3C#wko7+FkRNV|d<KZq==?-kIzyj&|6U`#>V{SA0T_71_J&
zYw_~-k0Sle$RhdTw-L3^Te16w?33!ev1E4D1V(ZJq2jMRcV<NsW%vim%oKKJ#fhYa
z!YkVQh(UjupQ848VE@(L?p*_6z!%JMy#V(H=(59ZQ}cOT7@k3ZDfR`vr43=&EgN<-
zIrzx*^z%#<o}_FNg?A8nhA2sX3s)5}Uxwqe=_97o$2rfJJ$`JuF==~`+v&*1J()Jl
zryXKGDfK-zpFP%WPdn}&WlO+Y|1Y!K=3gt_x1!IU?RLXgG{JU}P`v@6YKLsN;f#=M
zd~AY%*%Llerm;b*j<VVySs(yTYDjxa{(CPM04^u^Crf0{G^_F<H3j>gHd67=t?Yut
z$UfQZPefr&WCp4tv%MP{rM>4LkeJa!ATc-HLW9`|9x#5Bx)Pto$L$h)p7i2qdFI7t
z_jR&wC0<AR)O|U)VC$8e{9u92Z1e24;d+PXI;fORd3zuVlYLE0k45MKzd75R*$cNf
z^H{dWfSrg;Fz~RU{zLCz0O!!Z<uW(g6U%23zE@g3+%)WT!X_Y`@AM91H2?SQAimKu
zwh<#qKVkOi1V-p1RbEWrFE5cyUg%Y12m+HAn+N~K&kvCol3?f$yn7fScfzS9QOi!j
zzq9a>I}xv~((PY-zbN57+29xSd#5mE*t7$;uJF&7q;0Q10G&)%3EZP{6R<J(GW$&8
z*UF!Ln$$pGI!J2h9~0OfN@~7CS?HtiQqwB`9s3FN^p}^Xs1a3OaD#=*OSJ!dl+@$}
zx0zKH(?MPA*$RQ_!Qq^;cwK*eo#}a<UXMLWug7v-16_@4&@lh;&1o;)GwzTRzK}hi
z(8Vj8ui$h8uBHx`)Bd@9uAK0Syr)Or{-4O4=D>X4h|e%x-(<Xs9E;-){L>EfLiXAi
z8m6>e_<AB^_I_m!gw}sI5=_qQX`f+tSvF<0<Av482>Ry=wkxwtEeB9wzHin+1Q?<M
z`VeQ2@;8uAGX-85ofqO3oQK@Cesn|;9s8KBWVfLV|CG~?xMPSMe0rn<{G&Wzn1!nx
z;-6ovW_Y8lxp><Xt1@tUBk`VIqz%qoylm*9Q11K3BG?MU{*4Ck3jf4J-=%LF^u4qQ
zvs}Dm+;5d({yPo=e~-^4VkW#U8}=*HKu}LBzQ@1)V7hy-vdAmeSLKRd1?Y8irbo&A
zfdAA^%sBO&;=m~moZ`SK4*ZXDz<~2ROT3gI%@`~VO0-A`2nJ2CNOkUNm$bCF&Q;>5
zbJx16md%(^SHBcdDXY4^qSR7V?Y7i9i%Tu;a;K%jRpqoumg+J~W{JDHw$4)Ks&KOO
zTvtV9UuvPV!ddKgRac1;{qYyq)Hth3B}d65cY|9RBst1iWKmu5GUp7Szj#qW-l77>
zT$??|u^=-yM_N!{>8!0L^p(gLsbV)Ma3L*cF3i1nfi26Dm9wB=VW!<yaG8{4zc@c<
zK~8?Y9yoaX)ai8=@lbrQWXZqCmY0{4Ee#$dX93sXL0J?mcT)Fe%&2wNIct|YX<#Nz
znp|4!E@nTDV#;<bt1Yf6pPb3)U_JQWa>OD0xog1~t+W)xdPlCK1YC31)|a>~RrM7W
zjQ`7vD_o^QI>y({us9qw)peHm73Hpya*M0ZGXC271j~gOAy-}Eg>|lLo$(1lx!*%S
z#;W*Q43!{iUTtw%_4yX`t*qKo>a3`6S}I*m%hKB7O6R0WlPo3WE=&7E7FUI(#?}6e
zrNmi<9-$D5lAKgJXXA1cp7B#s>MS!X<5Me^X)Nyp4VFrZt4Op;P{-}G)VWJ%%qVqU
zQx6#{u3hG=MQ4huES1F#4&EPaNWdXfsi>$fak#25I_xzev^QZvzI(d6oJ2J_*^%!C
zR)?#yroy%$-;wIDRV}Z++F5JMcc-}PYbu<!`Io1aR8-eFtDJRpl{t$lTsaO`4tp5&
zC;t3s{Hf)|wUuCN$@ih}#n&k4>0M(uD{|&Kn3hRMHC`VGv?1Qwh|@NN8xhj+`^M%#
zU>y#&zDBqO_c1=ZDG<0G7hXy{fq(_(@KTsq>k$^i=rUs%)+3CM!RO`?Zb8_Ma4Yg_
z;H15cbPasHX!u>N2p>W_jqr`>JK`G=W+3cBcqPJKg!HvZ3w8q5Q9eTYkdcJFrz=5E
zBf?hPP|3r#=-UV_I3S2ON>b6ifdGBxzZ>CBO5Ya<&{u#rZ9+ciwmcgMyht7l-ZRez
zUEO%+s1bB`<I4bBDf~Bfg+QnI!$2U8+DG^h+RN|<0-qynLpU1kbsr1_$`KafZlD?X
zGY+F3!d8TDBkYE&x)JT=eHsYtL%0#)=LpT8p`U2K3t=O|j4uL#X<U4z5g>~m!?g<~
zLxb6H){ueGt>6*Cahxo5!|Fem3S<vty9ZW8r{QnQwV(mCNU`R*v2pWFF)N}QrP*iB
zm@w6P4xp?)-cgV?u0}Zmh==gH@wXmuiRz1o%B;g*@B4uONM;YgHsa5YaXgJdB#HJe
zHsh}lu<-=LPQcoTf>>fNmG8n|MNs(<0BZ<QJ|1uheO-sV28z##HLr`vjE!3xnH_7n
zW^im=W~@0UHaZ7m(}?WzQI_@?90;Y0V$HWi%!!TjMb3$}tc%KwjbCfbj!kMB5V2rz
zY<y;{1$n?XCpLOsOvI8PP<D*Ff0>;2T`&IYC7J54HLi>DMcxvzIH*om42=gphHLZe
zY_ta6osb|&XQ^X$KJu*i+W<LlL>ToXxPmUMr9L%9&Wp7~l=Dty#ztqxFkTj*+>jdr
z0o?MJqV7idSW8pn+6YNTdNgFQ=Dk4R3>qi&<yPwNE!1CM)STG(b;iutq_qPwV^f<3
zX2%vqN>Q<?fPfPyq4geBiKcSk%7$F8KwQevXab)je#!U@lBiAk(9Q;w`#IWto9M^f
zIa!-gm}3gYl|F^S`<WA>pEl~}yx6?RiH5<ksTk^@j%LRY{q%35R6uY1x47)UwE?(#
zp>w7X|L2~B|E-3|m?#i-;s{`*;fv$%0PuC=6sr+&!sny$To)<FTGo>MHj(^B<Z-cs
z#Bk}&iOG(QpBrn@0325;Xc~bt!~YgnDoAMtE?Ef#Ue)LV|JOxg4(aIH6hs$#H3H?^
zQ1<}p&ZoK&5G(|F_&Xnc{hUthhC#0PLn(hh|K`PZ#YFbThUcFJI2(a;2K3ffkdvs%
zP`IenG;r;Jbw*#*Es?iIu<=JzkAfch{vU7i;t;YV=1gA19U)uHieY`|MSG182Li=d
zGopHaKpz?hM9vx*5+kWFiTaQYepO?gtpR;e0pN^n9H8&RG?W>EuBBq$I1#5ltc%Dd
zorv*hii*hL8U%VRHwH2R^@1qZ%d{5Je9NMG7>cHdRZK4vU&@j90P^Two|JbISuTor
zKV&cD7-<%&Zw9X2p9BJ%5$C!D^pSo`im24-w~Mv-yqL@MI)-k{$~}R=FMk*<N=RDf
z@G-grEVTbM5coH6M*S1aWpaik@s`M(5PEW6Z0mr?Y9lb7s6fy=K1K>~&cqneK2p@j
zz==xwF(Ub<d#aoNCfa@F=V`YHICrS+9uD1ZGs=v<F%b9_WHah5wcW7m!o1jxhRBB_
z(BG^R6y{vDzx#mGhBat9_4g0d?nZ;Yza&2oLB^smW)ISsF&;A=-N$3_Q(KGjA{UU3
zK2a6s#E`!E9JmVq5eR&TIO+SoHNPpUR1@zxF%kD`iTOlpIsTeqoQ&Rvp~1;d)OTRQ
zN%cxZ<V+$4(g{VXUm0^^B1a4gNhWlg1#R`Bt#XXVSj3|?p{>}i2t8kjo)PHFx_<@&
zNkq>b|1CXhzLy@d9gnRM^vpexo_Nrc2fK1zQy_30ajrXL(j5!1&cD&8Ex4_AJ<1lr
z#vesx#S^%Dq#^orOn?iFZUe@8l?Fe<FvMsa9GPjHD=k8Pzr2kG!*2{b4aTN(q|Xh;
zt>;JqLu$`B>E%e{1LsILMj7{ylWvVl>l`O}2N-WXNAeAsu<0DbABUzP{%mX>;;)$r
z{?6$Wz8q)xVAM>+zmCg8{Oz-he;;S~YP50vIfmQE8iC;tV~xQ4=~&|{;|#~g8Xq5L
zc+z4)$u}+M1CMW<5%J%Rqud9_Q7*|Vp1|D+hH)#B8jaGQ492%2rKcj2K8Tb)jG*}5
zDD>w;BkvR|>oi=k)nNSVaOr@-_}XykOGE1O!==X~uX$*=v?u2B4Z{uFh8q7d+~70)
z#el?7vk}>i!;HvYH_X^P+^~L_v30oN0Tyo`W<;5N4D!J+3*v$#&~%2uBu{?IAgwUs
z>-kL)S24B<dMgdiEaP26r8TY(he-EF7~dEoy%J%(WvKM)NFyMBjxrt{B0X+2-Z)fx
z-)P)6R61y!{=!h{;{m^o_~TG%`yk^JLk;)GoQL?K7^?8l5F@gm7-9sZeF#Bb9zrNM
zHG#W_8lt9YEC6jkx&2$I{b&B$_5+4dmy)ySi7<XQK>Bk;d*qP;Sa~L6C<BJ5WKfFm
z%*~NT<t(W)>i*cb&yw0sGk$)S^ybJL2OvSE&g?6-ZZt}LGxUMc(jy~`>qko)PVY1#
zp_XDiKlO8p1E)A}iUX%OaEb#b<A6DbmoR6EFq?;6B2?=azQtn}Q9eV2jlWV$@UTXd
zs}cFFYPswCmphgE|2GG^p9tOm47%SH;!$l)A8dVk)bxg+^q)m~2rtGD2oT5D3D|S<
zpLuwONGtnz<Sdbn6CvK!;m;d9Q1?vXy0GVq?*i2nA$N)%BM&6AXc(?2f8d7FBgm4j
zAqNnT2-w~!rSalyzek{zHqtdWJhY|A9)XzltmskqxK-b$TM(+k^F&8gx?2TeYz47L
z?eEzlt(L=U0IYxDGXs4m(n+EMb`@B@N+*sCSo%gm$X6n55_o^^pjGIZV7y659Fifz
zJP{U&uttQ9B5W1mMiFijVVelMMA$9DUJ*+8Rxmwg5n4o;B*F|4=83RKgf${;6k)3f
zH;QnR2-`&1CBkkI_KHxNBH9<BMTAKr%n)Io2#Z8mBf>@zwu*402seqaO@v({>=t3K
z2&Ji_eGytjm?Xjs5$1`oNQ5;aY!qRu2seswlL*^H*d@Yl5%!9Z9Uc+?X`>O3MT9){
z^ZiD5b6k*j+D6l!d35j{zi4TFmAl@OoIGjDq@=_P>RED1f&fT#kisV}pH^nEsH&4y
z!zLod2#u0~6*kZeACoC^G<7D@5u^qT`G#POh7C)Q!6v2QDl^50<B!#jiW>M0;*w#Q
zVSMaqF_B}>8oOxJFoPMyL`*V7#?FYD8Iu-s-WkIT!v|)>U3-S%G$5KLsTsD@B1Zjf
z4hlzErI?rtV<NFpBsuVBgo2nvcnyYcVuw;dx*30njAgwi#SnqGDS~yUn6mLttqh7#
zsgHaGfXK+f^Nn!>5E*dUX#;LF8ZO86aD$<;p`@->s&l#>WyN)FM`f|QT$;CFktHkn
z0>NfWVr4~j)w0CW>iVS>&cxIt0P4!?+*c!X*H<~ym*LpD)>VRJacxO?dPC~;#Oc#4
ziObagFP>saRR79K$`Wg8tKGQKfJ6TDGP+ZcShlp@RZ)t|9*GsMrOQfysjR9xvCdsw
za<y8xx)#71Y9us<;<}YpCFQl%Rn_%%iS<=0Tvers?qbkehZ-DHNkws8xrz^sOZ8QC
zu4PruQj4p~Elp-LOh)U8$;pYA=M^MfU8APB{D~6io@4qnP+C>rkhrX>eln+-Ze;NP
z>uO5`Y%(rSl)08oc1=y4KDngUO&lf$PbxWCX^GSjjXZnUhz~eJNH<ozh}+yzQuLtP
z+;>C`&S)HWUsQA~KoTTMt29s@{BV;&phgfSecEsCQ4XzN2ISEBK0OxpE3qa*mA4{4
z0w=qw{Ys?JQ;R<XR^e!|&c`z-{)H8Up~?@1U=v)mf5(gRR|vRj_p115>xb|s1>yfZ
zO!-XA7{agG%_{y|1iVey(+#5CE&<P&%K_|68PU%LeB(S0Z{&eA3;bgAr*Z(D*V5w=
z@V50l&CX2`{Zhb-?&%LNqfsV)${fzlDG{9mLx|wL^ZUccKw%O5F3~QXebGb5Uj+a4
zOrECmBzm$1JTjf9RROqEz#}f~4|fT;VK#@;82~+X0^WEXPqV#xM4wUNs$W9t3{MOU
zC!!}+;2F!o(oz9e{T<pTr{^gFFAOR_6jOunsD9OPUR*jGa06~c^uEUdqPtQegU3m#
zpA{#{U(4XbCDmRQY?V4idDY)i%b$jcVSv(C?P#08;{ZI=yr=}6(J3acIvcMGQ+}-|
zUnI&4^wP}&-WmkITfn=5;C}_2_>dRGhkr0Qs1Wl-#s7i8V;1tS!h2cy(<Rl8SK;C4
zH^C4$;KX<9b85-HFcg2rFvI;cY2%Z9<tUcK@SGt9+o5R;ex_!(tF<l$oR;F?r#uXt
z?)8K!e-DG3rN)IEQ=>rmF5u@t-n#$50rLgi07qju;8IX|I?Nv?%IJe-th^q=<4*xT
z4tlImjEhAS`8Z7Z@vu3}(pi$FTND(*`GAM&*RnA1rZDh7gn@59U6L$lR|;wu2LvJ8
z9SO&980Bo@1V#xut$>H3(*`*4Iq800ke$yX`e2yyJ6L&vR2RGxrhIQ0IGJ0a=$XLa
zkO!fE=scC4$pYS1$<uVMOiy|kJj=qsw}yeg4EV5!vn16%=GZ0aZNP~?l90n!MaDol
zf}!Y70i4Qj`Xev6S(Lv6@L|vojY2=DZr5+Z;Mp(mbZ_7YRtP-9KnlrigOJ-s0iREB
z&>z>$0Z^yxDFZwdowtR7ZwUk68wMVWNf!$L1q6>6CaL=qf*dJ5O!><Jr+ys^nvb^w
zevVpM7e2}Gn5DK{4xAzcy*&*6qYRH(s`(Qy&+a%NdKHKdrDtvcJXF7aEy`~ab_JG8
z_B<A*e5WWMJdR(5DQ|<Jg{%{v$HKs$3j^N*y+L|1Nvu=n3XFSDp7<R1CI{pR_#n7v
zq1w$219yahyTiaA3j_Zo4BUtfq~Q@za!LJJ5d%2Q(_lS3ipuvd%2IV<;P*4QS;{Nr
zmFO-JJx_-jmnXyEc^z<?*BRZcx?~mx&_TdSt{Q*O;p+UgU|b-ICp-mWyrg`dMfbDl
z8I6fd_}hZ?MlmbT%jkcf0G!q-sap?){m<Z|rDFn*n!7U$p4Y>`KL?!6mxnk8cJBny
z2{3V3e;?p*r)Xdi;GxE44dBB-r@5OK6w_B)7pDA!fQQlpJHwQx%M)hsEm%%sU|5Et
zCmnE_7v*AJGz$9NVal%$1Md}hl%V+)e@5tbmxh6R!ocqVJQN@P5vKe;Rv!L~7?&*3
zFXNe^=@}meUKs}78V3HyFz_z{w+I^a!D$fLP~$QIaFYKbA-8JXbihN&TX`5fe-8tH
zO~vzjPR$BIR5bRTL($U|2L5NjRoVm!7CZwu(V6iehq8Nqi2h<s=<?}+liuFw=H*p8
zXFlL0pQ&$gxP=GOjjX&#=!1Ohe<V+;mK=`ar7nlNc$viBTB+l&txPJxKVIp${AYS;
zB6~{Ca$qZ1{4?Rp`58$|W~BX0gk>lFBy6GI1^LNb3ytolFfBBu?4QQ7FvvK|^4-($
z(pQD8B;TE!T!MFF9C&ZY<*u`p<m4;_Y$|_8tQzk=;VmLtfukVFk&{2&G09a|TRbUA
z2n2sI%jU{2w&8W1;{2S27v(4SFN3##vgt)42M{{(!q2ptVppxr<;p=Fl+DRWz5wqK
zxvE@l7hbEn)`=b1nw-i>?6oUwl-8(i{r7l)vjVTV(IiWCEL@5XJDnh1P;`-N8od&h
zgT5y@^6|o4i95N@ZOfmEZo8*pAGHo$B$@%pNd?KyT68EUk9ehGb5vEAqK_!ik4+(4
zOJT3<{jY3p$`tAzUe+ouaXQMeIqayfa$yK<^D(^cDakc1XNhx#tIpZ?a-756_bS&y
zHmvzM4%>Y81{XMVfyN=18+^mtdV;Z2`gq4i+|e&TyXNA8{?ZhZl|N$O{<n55H5)H8
zF2u`n%T*~&PMSl90(k$grd$K+UXoMG_04h)sVsI?sd<p}6!sQh$ayzK9pa@pXRys@
zqlUSU`TBoayLuQ$k}BK>0Y}7UM?f$V92X#3V~=NUCYwLct#z|IqZuDJkQ8=z`{&l(
z?Q6HaHUT2M3r=?=AS8k#0U-!T2*^l~KnRJSjA$i<L`cM?e6L=;c6GVEW3RTQ*;iez
zSHJJKx?b(dv~Ly3x9pJ}$ag@Ig45(B%Il&=Yq(o=)SAtg)zkZ`G+lk`^6K>DQYnP?
zs+Kx|P`b@850x6GBna`^Mx5kJil0Pfw=c7@t$S8Y52PNq@7TJ!${&}?U-R(WB%k(r
z`05l!S=1j+AcIsMD@2?k-V_#Dn5zCL?RG{gglL+m&UEetDFk4YM<FSosuHS)wNjld
z>ns#S-7dTy1?8%68pjKuSZ`Xrm5M5Laf485)qH%e6bj>uqiQ}hnGerzJaztU#9Ft`
zJY{I*>f++I2{n9jiZE<oj1e53_f#-=a{Sh1>-0?3{XM^-)myqZp61Pf^Y8AI&WFCr
zl2jp3S4V;uNOgZ7NJkg=V5l_`NaanXg895wtJUp5@hVdR`VjVlSUScUC<vFdC9H;~
zF{}=$4brhM*o4g!2OLt|w8!Yz>lg_X)X`Gg=#XU9NkT*^V|_bG5Oqmq7kWgiY;BvM
zt2ejGu8=77TetZU&%!W;aRgM?T5>QjI5D1jh{o?udzD!GI^4NAD`Q6#)2`PruQg1w
z_<E~Nu&TDnGA!4C@gIS_<6(k`Yxg(w?GVGz!##tK;Gn+1x*S2O^ZfzM>$ij0uF$X7
zcqB!WL<e>WPqnUa%K<)otLY>n(@dKR3Sr~vQ*<&^I<VZq(N0p?@YE(GCdmpzCtHOg
z$Y+m_l)_hPP0=9iB+X**d0}Q;54GOYDi2&0%sZ+J5s@gcNiaA*ySqC%ZK;~SXMP0J
zYcrL{0j4AV!3vF{q?8p$aS)G7S+;v;=+~VQB4JYCm<mgi=!vQCDl;)?s-F*tpVJJJ
zUY=2!oo)G7FXDvG0+9XQDDeQTBE|xVS{{oEC#k}n03j}%;DHs~Z!G+<u<+kB_ck<R
z9!Wz+GEDSU3XqI_Tq%*{m7_UWUvaGg^5bg<REDaW_boPgC)$9&Lc+V?o^Lx{F4Gl+
zz6aN(#co8|Whh(>Ee=H<l5DB%7a|sJ);eKPTH^C}{VeMFpz8TtjiYRm5=G_<H6yPK
z;;$f-$pV@#W<nX-b@(-A&6HN2=dTr$-<P(_i+`kNDBbUkrjvooyu__bIXX;mcZ6QV
zQZ{)+THe_0>web2n9S*;w2$jfs_B`OELaa`Oz1+CPDUqmhD%o4BaPQ?qe&w!)8~oH
zQXj^AJB5m;c{GQI1I@TprK}ZeyVs;;wGD1)7e<;Tp0x5$qNj>^vLvbeI?rCdBw%Bm
zie9V~TTCMNiY*kot&?sgTV1cx`gZjG0STn>f@c6?tENo_xO4kKz8FVP<A<<<o({t(
zX$D5tL4(YP4&Re}*_h6YeTz*rVk5;hG^9nan0u-PHFbrI81z$GHd~6;_Cdc)6}*_*
zon~iMjq{8y8xc!^NF<DUo#`l7xEuwR9dAEeU(9AJW<)-WO{*f|Gl;rk@|Zd_|8AnC
zo&MkEqX`_c6+@z8+a+jY_hDbH%EjbqN!Nk^!qN3Cw)B;6sBe?0KdUk$EZz>IZFrkj
zBzQuWDUQ?)N5!mx;@G=U?MG)~`H~PhP%333M}$$8ty3{Q#je!#+mPy}B{q0@_%?lm
zs2(wa>u!{#8B4^H&&@&#eOvN-fb(l59@k|WK{_>DBF6TTOL&`SGj;G7J5OY%V1sy8
zBQZW1!bj;$CW=@Tz3!z=YlYGHa@zne;LLkW)dtPK-m<DtJJ^dW6RIL(l-bLJhZB;S
zlc&q|WG+Cf2jo<YB3CbRm!7i$K^uR@YNP9c^u}M8vF_dN(=x5B?yw3f?J00-KXN(d
z(aD`UIcs0tsMfiWZds%k)}GL^N~ll>80<!hW_2o57t5$c6$S_;UD!Z&uT?K58|ZuX
zI{0-`>sr>BJ=y2E6*eZ%WMO?bT3GxFPRE$GwSYjUv~qfbuo=hba!DGoL1c@^&9$;7
z<4t7N>J)<kY=b7OHfW#+<8)S*?(n8rf2b$XLh&6~h1en!L;D3_feNpH*bbuQl&w^4
z>a?KXyV%$!ffKS<0{W(%uL_&ZroT;i7>;Aq$w<-FwUUIQq|3Ed7v2~fjrXvpR3+>%
zTcb&{WET>}KxA%94h<M-q4xh)$)MGyIgni!2!7ggY16@EPraj$DXW`k0_*=6C*HAB
zLBxItp1=;qMRK~Y_aT^&?-vRD)$0Z5nap5b_2x~yG6tcI3cA=%&a*j$`RzwJUENo;
zF~B=2mafBYm3IG)uES3H`T@dsgSF76uPPO89J5wk5skv$CNToDZ<UW!ANQmgvuee(
zTygHIjacf!{l2$&W5$RjTB)X#?=1KIKn%9MKit^f*TXMM!<Dgn{$vs3*gPO~orVKR
z!4ZhEvFGEOyvWCnf=^$kaN*s;%F<`(zlqBMxfHeza0tKe>EZ*NzW4lak)R2NxYSYq
zGJ_LG=ke_qh2Jt<1xN@cH6G=juPrDaNxz@sl@gN($LV3J<5hc0ewONOBtIIMO~^rr
z+T;z*1n{=zK{U?s9hx{%*UI~oT!*Bo9_j|F)LrhxL$t-UL!o)t&W_3FLmqaz`amP)
zi+p}1i$&6%Za0f&@<!w@X-u#rDI1ixd{2WB7@(*yOZxn7e_4N_G>#c~ui)=<2K&qA
zT%$l76DU1Y)_%T<moMN?@DB~XK<Aj0L^2dr960y`gD>!FMM+M`c^t`ZIrtK%AaF+t
z8tCG`i~Ro~hEDn~afSjf4W2pHxzhg*e#g<=V*EJ#&5wZ(%z;OmBbqxo|A^x_`WfP1
z8nU!6ag72cj*&}q9g-&aKK>|1Q1B%#P~fjkVd=k=6Zn1nPBDk_E^&tfcg%uQ|EZtS
ze^agZ5fU_1!IwBlff5HP?F+t)|HlUZ)KvJ)5S&2IAQHe4ouYlg{~7YAi&B4aF3%7i
z(YO7`@<`rKk+AW144y!JXQC7ad|=W7f8pToHn@O5DQD1D@PFgr9~*pu1wEMxq&|Va
zbMX(k;IV<t%pf}Wl1s<)?eWXGSb;buU3%R4`-8!k^_TPA0zWnUES2m?!oa@(Qu~50
z=l=!L-J|y7wok{7Z2aBda%q8|;Jm*52>nUkzmc%<e{bRy1b!wRGYD?`pCKPdu{jhF
zP~s#0^G8MyI_0+|{YpPRkH&GNy1*~uG5*9DQf?jomw-?GmuZ&xs#gvE2TuRp`o02W
z;vK=4IEzpI%q>1J_{9J82)@wYuaIZAFLBhL(!%2T?wa<cp4XlJd(Si)Ukr-mj(HUz
zc=G-Y;8ULT|M(gIvh!Dl`ae_Wr2hBVN>g&zw7=`*3;yd)K8ou{;E}<1ig``bzFV*0
zN%@Cs@TUepl7a@h`0X|L|1|ibzoZ%$zq<zi>wja6KoHlopBQ|1oF5weSDgmsRp4R`
z{ty4o4Su|)eZl|G;5)^<oqur7zVn0NN%l|H;J;(=Uz36cy7=_&khm^6Huyhyz=&@E
tkZ2eB6}j+5<O%I^N&ff0|6=%aoTIcKw|zQ}U4{RnSGeRa9R%mq`#-2EwL1U+

literal 0
HcmV?d00001

diff --git a/scripts/actors_graph.cpp b/scripts/actors_graph.cpp
index 96bc1ca..06a5b5d 100644
--- a/scripts/actors_graph.cpp
+++ b/scripts/actors_graph.cpp
@@ -33,6 +33,8 @@ int MAX_ACTOR_ID = -1; // Here DataRead() puts the larges actor_id loaded from A
 
 const int N_THREADS = 12; // Number of threads to use for some functions
 
+string outputFn;
+
 void DataRead()
 {
     ifstream actors("../data/data_actor_graph/Attori.txt"); // read the file
@@ -224,7 +226,7 @@ vector<pair<int, double>> closeness(const size_t k) {
         // Waiting for all threads to finish
         thread.join();
 
-    ofstream output_file("actor_bench/top_actors_c_70.txt");
+    ofstream output_file(outputFn + "_c.txt");
     for (const auto& [actor_id, farness] : top_actors) {
         output_file << actor_id << "\t" << A[actor_id].name << "\t" << 1.0/farness << endl;
     }
@@ -315,7 +317,7 @@ vector<pair<int, double>> harmonic(const size_t k) { //
     for (auto& thread : threads)
         thread.join();
 
-    ofstream output_file("actor_bench/top_actors_h_70.txt");
+    ofstream output_file(outputFn + "_h.txt");
     for (const auto& [actor_id, harmonic] : top_actors) {
         output_file << actor_id << "\t" << A[actor_id].name << "\t" << harmonic << endl;
     }
@@ -325,8 +327,14 @@ vector<pair<int, double>> harmonic(const size_t k) { //
 }
 
 
-int main()
+int main(int argc, char* argv[])
 {
+    if (argc != 2) {
+        cout << "Usage: " << argv[0] << " OUTPUT_FILE_NAME" << endl;
+        exit(1);
+    }
+    outputFn = argv[1];
+
     srand(time(NULL));
 
     DataRead();
diff --git a/tex/main.pdf b/tex/main.pdf
index 9915ed4c49f884c6f489cb398c88393bc0005ec6..0bd40150acb940285f1f942a05ae817c1020b802 100644
GIT binary patch
delta 139
zcmdmbOK9sYp@tU57N!>FEi4X8HI0l6EDa2`4Gh%{4AeEb^nLSFToOxC6*OF|j0}L1
z#s(G;CEGKXvK(i2c5*T{ax`*uG%+!AaWr#vv@kKSba8gHG`BEwbTcwFv{SGlq-1;X
IN|r;+0C}Gz!T<mO

delta 139
zcmdmbOK9sYp@tU57N!>FEi4X8H4QCIjEzmS4Gh%{4AeEb^nLSFToOxC6*OF|j0}v7
z42%sdAWF7pE@e5+?Ck1d>FQ)?<YMCJV(jc@YG!2MXzpTSZs=-a;bLiKYGkKiLrBT?
J;*~6im;r?GB+>u?