From 1253ed6f0d235c8a9dbc9152d07cbafe9647f43e Mon Sep 17 00:00:00 2001 From: adi271001 <67856422+adi271001@users.noreply.github.com> Date: Wed, 24 Jul 2024 11:24:27 +0530 Subject: [PATCH 1/4] Add files via upload --- .../fictional_character_battles_complex.csv | 2352 +++++++++++++++++ .../Images/__results___13_0.png | Bin 0 -> 18045 bytes .../Images/__results___14_0.png | Bin 0 -> 25727 bytes .../Images/__results___15_1.png | Bin 0 -> 25566 bytes .../Images/__results___15_3.png | Bin 0 -> 25746 bytes .../Images/__results___15_5.png | Bin 0 -> 25776 bytes .../Images/__results___16_1.png | Bin 0 -> 38345 bytes .../Images/__results___17_0.png | Bin 0 -> 28887 bytes .../Images/__results___18_0.png | Bin 0 -> 18228 bytes .../Images/__results___19_0.png | Bin 0 -> 22014 bytes .../Images/__results___20_0.png | Bin 0 -> 19477 bytes .../Images/__results___21_0.png | Bin 0 -> 17114 bytes .../Images/__results___25_0.png | Bin 0 -> 18223 bytes .../Images/__results___25_1.png | Bin 0 -> 19845 bytes .../Images/__results___25_10.png | Bin 0 -> 20239 bytes .../Images/__results___25_11.png | Bin 0 -> 19192 bytes .../Images/__results___25_2.png | Bin 0 -> 19654 bytes .../Images/__results___25_3.png | Bin 0 -> 19964 bytes .../Images/__results___25_4.png | Bin 0 -> 19099 bytes .../Images/__results___25_5.png | Bin 0 -> 18351 bytes .../Images/__results___25_6.png | Bin 0 -> 17896 bytes .../Images/__results___25_8.png | Bin 0 -> 18011 bytes .../Images/__results___25_9.png | Bin 0 -> 17895 bytes .../Images/__results___30_0.png | Bin 0 -> 19037 bytes .../Images/__results___31_0.png | Bin 0 -> 56549 bytes .../fictional-character-battle-outcome.ipynb | 1 + .../Results/evaluation_results.csv | 12 + .../evaluation_results_with_stacking.csv | 13 + 28 files changed, 2378 insertions(+) create mode 100644 Fictional Character Battle Outcome Prediction/Dataset/fictional_character_battles_complex.csv create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___13_0.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___14_0.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___15_1.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___15_3.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___15_5.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___16_1.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___17_0.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___18_0.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___19_0.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___20_0.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___21_0.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___25_0.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___25_1.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___25_10.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___25_11.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___25_2.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___25_3.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___25_4.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___25_5.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___25_6.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___25_8.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___25_9.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___30_0.png create mode 100644 Fictional Character Battle Outcome Prediction/Images/__results___31_0.png create mode 100644 Fictional Character Battle Outcome Prediction/Models/fictional-character-battle-outcome.ipynb create mode 100644 Fictional Character Battle Outcome Prediction/Results/evaluation_results.csv create mode 100644 Fictional Character Battle Outcome Prediction/Results/evaluation_results_with_stacking.csv diff --git a/Fictional Character Battle Outcome Prediction/Dataset/fictional_character_battles_complex.csv b/Fictional Character Battle Outcome Prediction/Dataset/fictional_character_battles_complex.csv new file mode 100644 index 000000000..2bf6654b3 --- /dev/null +++ b/Fictional Character Battle Outcome Prediction/Dataset/fictional_character_battles_complex.csv @@ -0,0 +1,2352 @@ +Character,Universe,Strength,Speed,Intelligence,SpecialAbilities,Weaknesses,BattleOutcome +Wonder Woman,Marvel,7,8,3,Telekinesis,Kryptonite,0 +Iron Man,Marvel,4,7,9,Telekinesis,Kryptonite,0 +Iron Man,DC Comics,8,7,5,Telekinesis,Magic,0 +Spider-Man,DC Comics,5,6,10,Telekinesis,Kryptonite,0 +Flash,Marvel,7,6,2,Invisibility,Magic,0 +Spider-Man,DC Comics,10,9,7,Invisibility,Wooden Stake,1 +Wonder Woman,Marvel,3,6,2,Super Strength,Silver,1 +Thor,DC Comics,7,2,4,Invisibility,Magic,1 +Batman,DC Comics,8,2,7,Flight,Silver,0 +Iron Man,DC Comics,5,5,4,Flight,Wooden Stake,0 +Superman,DC Comics,4,4,7,Telekinesis,Kryptonite,0 +Thor,DC Comics,8,2,7,Flight,Wooden Stake,0 +Iron Man,DC Comics,8,3,1,Super Strength,Silver,0 +Batman,Marvel,3,7,6,Invisibility,Wooden Stake,0 +Flash,DC Comics,6,8,9,Invisibility,Kryptonite,0 +Superman,Marvel,5,6,2,Invisibility,Wooden Stake,0 +Iron Man,Marvel,2,5,3,Flight,Kryptonite,0 +Captain America,Marvel,8,1,10,Invisibility,Magic,1 +Wonder Woman,Marvel,6,8,5,Telekinesis,Silver,1 +Thor,Marvel,2,3,9,Telekinesis,Kryptonite,0 +Wonder Woman,Marvel,5,6,4,Telekinesis,Kryptonite,0 +Spider-Man,DC Comics,1,3,1,Flight,Wooden Stake,0 +Iron Man,DC Comics,10,7,4,Invisibility,Magic,1 +Superman,DC Comics,6,7,6,Flight,Kryptonite,0 +Superman,Marvel,9,9,5,Invisibility,Magic,0 +Thor,Marvel,1,5,1,Super Strength,Magic,0 +Thor,Marvel,10,8,4,Super Strength,Wooden Stake,1 +Wonder Woman,DC Comics,3,10,6,Flight,Kryptonite,0 +Superman,DC Comics,7,10,10,Telekinesis,Wooden Stake,1 +Superman,DC Comics,4,8,10,Flight,Silver,0 +Superman,Marvel,9,1,4,Telekinesis,Silver,0 +Iron Man,Marvel,3,5,9,Invisibility,Kryptonite,0 +Superman,Marvel,5,3,5,Telekinesis,Magic,0 +Spider-Man,DC Comics,3,1,8,Telekinesis,Kryptonite,0 +Superman,Marvel,7,4,9,Invisibility,Kryptonite,0 +Spider-Man,Marvel,5,8,10,Super Strength,Silver,1 +Iron Man,Marvel,9,3,5,Invisibility,Silver,0 +Thor,Marvel,7,10,6,Flight,Magic,1 +Flash,DC Comics,2,2,1,Flight,Magic,0 +Spider-Man,DC Comics,4,9,7,Flight,Kryptonite,0 +Iron Man,Marvel,9,10,4,Flight,Wooden Stake,0 +Flash,Marvel,2,5,2,Flight,Kryptonite,0 +Flash,DC Comics,10,7,5,Super Strength,Magic,1 +Superman,DC Comics,9,2,3,Super Strength,Wooden Stake,0 +Iron Man,Marvel,10,9,6,Telekinesis,Silver,1 +Flash,DC Comics,5,9,8,Flight,Magic,0 +Superman,DC Comics,2,4,7,Invisibility,Magic,0 +Wonder Woman,Marvel,4,4,3,Flight,Wooden Stake,0 +Iron Man,DC Comics,7,6,8,Super Strength,Magic,0 +Flash,DC Comics,8,10,2,Flight,Magic,0 +Thor,DC Comics,3,10,10,Super Strength,Magic,1 +Spider-Man,DC Comics,1,10,9,Telekinesis,Magic,0 +Wonder Woman,Marvel,4,6,4,Telekinesis,Magic,0 +Thor,DC Comics,2,1,1,Telekinesis,Magic,0 +Captain America,DC Comics,8,9,8,Super Strength,Magic,1 +Superman,Marvel,4,2,7,Flight,Magic,0 +Flash,DC Comics,2,5,5,Flight,Silver,0 +Spider-Man,Marvel,6,9,10,Invisibility,Magic,1 +Thor,Marvel,6,4,5,Super Strength,Silver,1 +Spider-Man,DC Comics,10,3,7,Invisibility,Silver,1 +Captain America,DC Comics,4,7,5,Telekinesis,Kryptonite,0 +Batman,DC Comics,6,6,8,Flight,Kryptonite,0 +Superman,DC Comics,2,8,6,Super Strength,Silver,1 +Superman,DC Comics,10,3,5,Invisibility,Silver,0 +Iron Man,Marvel,2,5,9,Invisibility,Magic,1 +Flash,DC Comics,10,10,2,Invisibility,Kryptonite,0 +Superman,Marvel,4,4,1,Flight,Wooden Stake,0 +Superman,DC Comics,8,4,8,Flight,Kryptonite,0 +Thor,Marvel,7,4,3,Flight,Silver,1 +Wonder Woman,DC Comics,9,10,7,Super Strength,Silver,1 +Superman,DC Comics,8,8,10,Flight,Magic,1 +Superman,DC Comics,5,6,8,Super Strength,Magic,1 +Flash,DC Comics,2,3,6,Invisibility,Kryptonite,0 +Captain America,DC Comics,5,10,10,Invisibility,Magic,1 +Wonder Woman,Marvel,8,5,9,Telekinesis,Wooden Stake,0 +Captain America,DC Comics,10,6,7,Flight,Wooden Stake,1 +Flash,DC Comics,9,5,10,Invisibility,Magic,1 +Spider-Man,DC Comics,9,6,5,Flight,Wooden Stake,1 +Spider-Man,Marvel,1,8,8,Super Strength,Wooden Stake,0 +Superman,DC Comics,9,7,2,Invisibility,Kryptonite,0 +Superman,Marvel,7,5,7,Flight,Wooden Stake,0 +Iron Man,DC Comics,9,10,4,Invisibility,Silver,1 +Spider-Man,Marvel,8,6,9,Invisibility,Silver,1 +Thor,DC Comics,1,4,1,Flight,Kryptonite,0 +Superman,DC Comics,8,9,7,Invisibility,Magic,1 +Thor,Marvel,8,4,6,Invisibility,Kryptonite,0 +Superman,DC Comics,3,1,8,Invisibility,Magic,0 +Flash,Marvel,1,7,5,Invisibility,Magic,0 +Thor,DC Comics,8,7,1,Super Strength,Magic,0 +Batman,DC Comics,3,4,1,Invisibility,Magic,0 +Thor,Marvel,3,3,9,Telekinesis,Magic,0 +Wonder Woman,DC Comics,1,8,10,Invisibility,Kryptonite,1 +Spider-Man,Marvel,5,5,6,Flight,Magic,0 +Superman,Marvel,10,10,10,Telekinesis,Wooden Stake,1 +Spider-Man,DC Comics,7,7,5,Super Strength,Wooden Stake,1 +Wonder Woman,DC Comics,10,4,1,Telekinesis,Magic,0 +Wonder Woman,DC Comics,9,4,6,Telekinesis,Wooden Stake,0 +Thor,Marvel,7,8,6,Telekinesis,Silver,1 +Captain America,Marvel,9,8,3,Flight,Kryptonite,0 +Captain America,DC Comics,8,2,8,Flight,Kryptonite,0 +Wonder Woman,Marvel,2,2,1,Flight,Magic,0 +Captain America,Marvel,1,3,1,Super Strength,Magic,0 +Superman,Marvel,7,3,6,Flight,Silver,0 +Iron Man,Marvel,7,1,10,Flight,Magic,0 +Batman,DC Comics,8,3,1,Telekinesis,Wooden Stake,0 +Thor,DC Comics,5,6,6,Flight,Silver,0 +Iron Man,DC Comics,3,8,1,Invisibility,Wooden Stake,0 +Captain America,Marvel,8,10,6,Flight,Kryptonite,1 +Thor,Marvel,6,6,3,Super Strength,Wooden Stake,1 +Iron Man,Marvel,3,5,8,Super Strength,Kryptonite,0 +Spider-Man,Marvel,1,4,6,Invisibility,Wooden Stake,0 +Captain America,DC Comics,3,3,1,Super Strength,Kryptonite,0 +Flash,Marvel,5,4,5,Super Strength,Magic,0 +Iron Man,Marvel,3,7,8,Telekinesis,Wooden Stake,0 +Flash,DC Comics,1,1,3,Invisibility,Kryptonite,0 +Superman,DC Comics,5,7,6,Telekinesis,Wooden Stake,0 +Spider-Man,DC Comics,10,1,5,Telekinesis,Silver,0 +Captain America,Marvel,7,2,6,Flight,Magic,0 +Batman,Marvel,7,4,10,Invisibility,Kryptonite,0 +Wonder Woman,Marvel,9,1,1,Flight,Silver,0 +Captain America,Marvel,10,9,7,Flight,Wooden Stake,1 +Flash,Marvel,10,6,9,Telekinesis,Silver,0 +Superman,Marvel,3,1,2,Super Strength,Wooden Stake,0 +Batman,DC Comics,7,1,10,Invisibility,Magic,1 +Batman,Marvel,1,6,5,Super Strength,Silver,0 +Batman,DC Comics,4,4,10,Telekinesis,Magic,0 +Thor,DC Comics,4,4,4,Telekinesis,Kryptonite,0 +Thor,DC Comics,5,6,6,Telekinesis,Wooden Stake,0 +Flash,Marvel,7,7,6,Telekinesis,Wooden Stake,1 +Wonder Woman,Marvel,7,9,2,Telekinesis,Magic,1 +Batman,DC Comics,4,10,2,Telekinesis,Magic,0 +Wonder Woman,Marvel,7,5,4,Super Strength,Kryptonite,0 +Spider-Man,Marvel,3,9,1,Flight,Silver,0 +Batman,DC Comics,6,4,9,Super Strength,Wooden Stake,1 +Iron Man,Marvel,2,10,7,Invisibility,Wooden Stake,0 +Batman,Marvel,10,2,7,Super Strength,Kryptonite,0 +Flash,Marvel,9,3,3,Telekinesis,Kryptonite,0 +Thor,Marvel,5,1,3,Super Strength,Magic,0 +Thor,DC Comics,6,6,1,Flight,Magic,0 +Iron Man,DC Comics,4,6,3,Invisibility,Silver,0 +Iron Man,Marvel,10,1,3,Super Strength,Kryptonite,0 +Captain America,Marvel,7,3,4,Flight,Silver,0 +Spider-Man,Marvel,9,5,4,Super Strength,Kryptonite,0 +Spider-Man,DC Comics,7,3,3,Invisibility,Wooden Stake,1 +Flash,Marvel,1,10,10,Super Strength,Kryptonite,1 +Flash,Marvel,1,3,8,Telekinesis,Kryptonite,0 +Flash,DC Comics,9,10,8,Super Strength,Wooden Stake,1 +Flash,Marvel,9,3,1,Flight,Kryptonite,0 +Flash,DC Comics,4,5,7,Super Strength,Silver,1 +Flash,Marvel,9,5,2,Flight,Magic,0 +Spider-Man,DC Comics,3,4,1,Invisibility,Magic,0 +Superman,Marvel,7,1,3,Super Strength,Silver,1 +Thor,Marvel,6,5,4,Invisibility,Wooden Stake,1 +Spider-Man,DC Comics,8,10,6,Invisibility,Kryptonite,0 +Flash,DC Comics,9,5,10,Super Strength,Silver,1 +Captain America,DC Comics,5,4,5,Flight,Magic,0 +Captain America,DC Comics,1,6,4,Invisibility,Magic,0 +Spider-Man,DC Comics,3,10,8,Invisibility,Silver,0 +Iron Man,Marvel,10,4,4,Super Strength,Magic,0 +Captain America,DC Comics,8,7,10,Super Strength,Silver,1 +Wonder Woman,DC Comics,6,7,2,Super Strength,Magic,0 +Iron Man,DC Comics,8,2,3,Super Strength,Silver,1 +Wonder Woman,DC Comics,9,3,6,Super Strength,Kryptonite,0 +Thor,Marvel,4,1,8,Telekinesis,Kryptonite,0 +Superman,Marvel,1,8,8,Super Strength,Kryptonite,0 +Captain America,Marvel,1,9,9,Flight,Kryptonite,0 +Iron Man,Marvel,10,4,7,Invisibility,Magic,1 +Flash,Marvel,4,6,2,Flight,Wooden Stake,0 +Wonder Woman,DC Comics,7,9,8,Flight,Silver,0 +Spider-Man,Marvel,2,6,7,Telekinesis,Wooden Stake,0 +Wonder Woman,Marvel,3,9,8,Super Strength,Magic,0 +Wonder Woman,DC Comics,1,4,3,Invisibility,Magic,0 +Thor,DC Comics,5,8,7,Flight,Wooden Stake,1 +Batman,Marvel,1,9,10,Super Strength,Wooden Stake,0 +Batman,Marvel,8,4,9,Super Strength,Magic,1 +Spider-Man,DC Comics,1,5,3,Telekinesis,Magic,0 +Thor,Marvel,1,8,10,Telekinesis,Silver,0 +Thor,DC Comics,2,10,6,Telekinesis,Kryptonite,0 +Flash,DC Comics,2,6,2,Invisibility,Kryptonite,0 +Thor,Marvel,6,7,2,Flight,Silver,0 +Thor,Marvel,7,3,5,Telekinesis,Wooden Stake,0 +Batman,Marvel,5,7,5,Telekinesis,Magic,1 +Iron Man,DC Comics,1,8,7,Telekinesis,Wooden Stake,0 +Thor,DC Comics,1,10,2,Flight,Kryptonite,0 +Iron Man,Marvel,3,6,7,Flight,Kryptonite,0 +Wonder Woman,Marvel,2,10,5,Telekinesis,Wooden Stake,0 +Wonder Woman,Marvel,5,9,6,Telekinesis,Kryptonite,0 +Thor,DC Comics,10,6,8,Super Strength,Magic,1 +Captain America,DC Comics,6,9,10,Telekinesis,Silver,1 +Superman,DC Comics,7,4,4,Invisibility,Wooden Stake,0 +Captain America,Marvel,4,8,7,Invisibility,Magic,1 +Wonder Woman,DC Comics,7,4,6,Telekinesis,Magic,0 +Superman,DC Comics,8,2,10,Flight,Kryptonite,1 +Captain America,Marvel,1,10,2,Super Strength,Magic,0 +Thor,DC Comics,6,9,8,Flight,Wooden Stake,1 +Iron Man,Marvel,8,5,10,Telekinesis,Magic,1 +Superman,DC Comics,5,4,9,Invisibility,Silver,0 +Batman,Marvel,4,2,5,Super Strength,Magic,0 +Spider-Man,Marvel,2,1,10,Flight,Magic,0 +Superman,DC Comics,6,7,4,Flight,Silver,0 +Superman,Marvel,6,6,6,Telekinesis,Magic,0 +Batman,DC Comics,1,2,8,Super Strength,Magic,0 +Thor,Marvel,9,8,3,Invisibility,Kryptonite,0 +Captain America,Marvel,6,4,10,Telekinesis,Wooden Stake,0 +Captain America,Marvel,3,8,1,Super Strength,Kryptonite,0 +Wonder Woman,DC Comics,4,7,4,Flight,Wooden Stake,1 +Iron Man,Marvel,4,5,4,Telekinesis,Silver,1 +Thor,Marvel,3,10,1,Flight,Silver,0 +Batman,DC Comics,10,10,9,Flight,Silver,1 +Thor,Marvel,3,8,3,Telekinesis,Wooden Stake,0 +Thor,Marvel,3,9,5,Telekinesis,Wooden Stake,0 +Captain America,Marvel,4,5,6,Telekinesis,Wooden Stake,0 +Batman,Marvel,7,10,8,Telekinesis,Silver,1 +Flash,DC Comics,4,5,6,Telekinesis,Wooden Stake,0 +Spider-Man,Marvel,9,2,3,Flight,Magic,0 +Superman,Marvel,1,5,6,Invisibility,Kryptonite,0 +Captain America,DC Comics,8,3,1,Invisibility,Silver,0 +Batman,Marvel,7,7,4,Telekinesis,Kryptonite,0 +Iron Man,Marvel,2,10,6,Flight,Magic,0 +Superman,DC Comics,8,5,7,Invisibility,Wooden Stake,1 +Superman,DC Comics,1,8,10,Invisibility,Kryptonite,0 +Flash,DC Comics,9,1,3,Invisibility,Magic,1 +Flash,DC Comics,9,3,9,Flight,Magic,0 +Captain America,Marvel,2,3,7,Telekinesis,Kryptonite,0 +Wonder Woman,DC Comics,7,9,1,Telekinesis,Silver,0 +Iron Man,Marvel,10,5,2,Telekinesis,Kryptonite,0 +Captain America,DC Comics,3,9,1,Super Strength,Silver,1 +Thor,Marvel,7,9,9,Super Strength,Wooden Stake,1 +Wonder Woman,DC Comics,10,1,9,Super Strength,Silver,0 +Batman,DC Comics,9,2,7,Flight,Wooden Stake,0 +Flash,Marvel,4,5,10,Invisibility,Kryptonite,0 +Iron Man,DC Comics,1,4,3,Invisibility,Wooden Stake,0 +Superman,DC Comics,2,10,5,Flight,Magic,1 +Captain America,DC Comics,1,9,4,Flight,Wooden Stake,0 +Flash,Marvel,5,7,7,Telekinesis,Silver,1 +Superman,DC Comics,5,6,9,Telekinesis,Silver,1 +Iron Man,DC Comics,7,7,2,Super Strength,Silver,1 +Flash,Marvel,9,1,8,Super Strength,Wooden Stake,0 +Flash,Marvel,9,1,9,Flight,Silver,1 +Superman,DC Comics,3,8,10,Super Strength,Silver,1 +Captain America,Marvel,3,2,10,Invisibility,Magic,0 +Wonder Woman,Marvel,3,10,9,Flight,Wooden Stake,0 +Captain America,Marvel,4,9,10,Flight,Magic,0 +Spider-Man,DC Comics,8,7,7,Invisibility,Silver,1 +Flash,DC Comics,6,6,9,Telekinesis,Silver,1 +Superman,Marvel,8,1,9,Telekinesis,Silver,0 +Spider-Man,DC Comics,1,1,3,Invisibility,Wooden Stake,0 +Wonder Woman,Marvel,8,2,4,Invisibility,Kryptonite,0 +Spider-Man,DC Comics,4,6,2,Super Strength,Silver,1 +Superman,Marvel,1,6,10,Flight,Silver,0 +Iron Man,DC Comics,8,2,3,Super Strength,Silver,1 +Thor,Marvel,4,1,5,Invisibility,Silver,0 +Wonder Woman,DC Comics,6,10,5,Super Strength,Wooden Stake,1 +Captain America,DC Comics,8,5,6,Invisibility,Kryptonite,1 +Batman,Marvel,4,5,7,Super Strength,Kryptonite,0 +Wonder Woman,DC Comics,3,2,7,Super Strength,Kryptonite,0 +Spider-Man,DC Comics,9,6,1,Telekinesis,Silver,1 +Iron Man,DC Comics,3,9,2,Invisibility,Silver,0 +Superman,DC Comics,9,2,9,Super Strength,Kryptonite,0 +Iron Man,DC Comics,2,10,10,Flight,Kryptonite,0 +Iron Man,DC Comics,2,2,2,Super Strength,Silver,0 +Superman,DC Comics,2,3,6,Super Strength,Silver,0 +Batman,DC Comics,6,7,1,Flight,Magic,0 +Superman,Marvel,3,6,3,Invisibility,Magic,0 +Batman,DC Comics,9,8,2,Telekinesis,Magic,0 +Superman,Marvel,4,8,3,Telekinesis,Kryptonite,0 +Spider-Man,DC Comics,1,6,5,Telekinesis,Wooden Stake,0 +Batman,Marvel,4,10,10,Flight,Silver,0 +Spider-Man,DC Comics,1,3,6,Super Strength,Magic,1 +Wonder Woman,Marvel,5,3,9,Invisibility,Wooden Stake,1 +Batman,Marvel,4,1,10,Super Strength,Silver,1 +Batman,DC Comics,8,7,4,Telekinesis,Wooden Stake,0 +Superman,Marvel,8,5,7,Super Strength,Kryptonite,1 +Batman,DC Comics,7,4,6,Flight,Kryptonite,0 +Spider-Man,DC Comics,3,10,2,Flight,Kryptonite,0 +Flash,Marvel,1,4,10,Invisibility,Magic,0 +Wonder Woman,DC Comics,1,4,8,Invisibility,Silver,0 +Flash,Marvel,3,6,7,Telekinesis,Kryptonite,0 +Superman,Marvel,6,8,7,Invisibility,Magic,1 +Captain America,DC Comics,7,8,8,Super Strength,Magic,1 +Wonder Woman,DC Comics,6,5,1,Flight,Magic,0 +Flash,DC Comics,6,6,1,Flight,Magic,0 +Wonder Woman,DC Comics,6,4,8,Flight,Kryptonite,0 +Flash,DC Comics,3,9,4,Invisibility,Magic,0 +Spider-Man,Marvel,6,8,5,Flight,Kryptonite,0 +Flash,Marvel,8,10,8,Flight,Kryptonite,0 +Wonder Woman,DC Comics,2,10,5,Flight,Magic,1 +Captain America,DC Comics,5,1,10,Telekinesis,Kryptonite,0 +Iron Man,DC Comics,1,2,4,Telekinesis,Silver,0 +Superman,Marvel,1,9,6,Invisibility,Silver,1 +Iron Man,Marvel,5,8,5,Flight,Wooden Stake,0 +Superman,Marvel,3,3,7,Invisibility,Silver,1 +Wonder Woman,DC Comics,4,8,10,Flight,Kryptonite,0 +Superman,DC Comics,3,1,7,Flight,Kryptonite,0 +Flash,Marvel,1,10,4,Flight,Silver,0 +Spider-Man,DC Comics,1,4,5,Invisibility,Magic,0 +Captain America,DC Comics,5,3,3,Invisibility,Magic,0 +Superman,Marvel,6,6,4,Flight,Kryptonite,0 +Captain America,Marvel,3,7,4,Super Strength,Magic,1 +Superman,DC Comics,9,4,3,Invisibility,Wooden Stake,0 +Captain America,Marvel,5,7,10,Telekinesis,Wooden Stake,0 +Iron Man,DC Comics,8,9,5,Invisibility,Silver,0 +Spider-Man,Marvel,1,2,5,Flight,Silver,0 +Superman,Marvel,5,3,7,Super Strength,Magic,1 +Thor,DC Comics,3,5,4,Flight,Kryptonite,0 +Captain America,DC Comics,1,3,4,Telekinesis,Silver,0 +Captain America,Marvel,4,8,9,Invisibility,Wooden Stake,1 +Flash,DC Comics,5,10,6,Invisibility,Silver,0 +Thor,Marvel,7,8,4,Flight,Silver,0 +Spider-Man,DC Comics,1,8,2,Flight,Wooden Stake,0 +Captain America,Marvel,3,9,6,Telekinesis,Kryptonite,0 +Spider-Man,Marvel,2,4,2,Super Strength,Silver,0 +Captain America,Marvel,9,5,5,Telekinesis,Silver,0 +Wonder Woman,DC Comics,10,5,6,Super Strength,Silver,1 +Batman,Marvel,6,8,4,Invisibility,Magic,1 +Wonder Woman,Marvel,10,7,3,Super Strength,Silver,1 +Captain America,Marvel,3,9,7,Super Strength,Wooden Stake,0 +Batman,Marvel,8,8,2,Invisibility,Kryptonite,0 +Superman,DC Comics,8,2,6,Invisibility,Kryptonite,0 +Spider-Man,DC Comics,2,10,4,Invisibility,Wooden Stake,1 +Captain America,Marvel,6,4,6,Telekinesis,Magic,0 +Flash,Marvel,7,6,4,Invisibility,Wooden Stake,0 +Iron Man,DC Comics,2,2,4,Flight,Kryptonite,0 +Flash,Marvel,10,7,4,Invisibility,Wooden Stake,1 +Iron Man,DC Comics,2,3,9,Invisibility,Magic,1 +Thor,Marvel,10,3,7,Invisibility,Kryptonite,0 +Iron Man,DC Comics,1,2,3,Super Strength,Magic,0 +Batman,Marvel,8,8,3,Telekinesis,Wooden Stake,1 +Iron Man,DC Comics,1,6,6,Invisibility,Silver,0 +Iron Man,DC Comics,9,1,6,Telekinesis,Wooden Stake,1 +Iron Man,DC Comics,6,1,4,Flight,Magic,0 +Captain America,Marvel,7,7,9,Flight,Wooden Stake,1 +Thor,DC Comics,10,8,4,Invisibility,Silver,1 +Spider-Man,DC Comics,7,5,9,Flight,Magic,1 +Thor,Marvel,10,5,4,Telekinesis,Wooden Stake,0 +Flash,Marvel,3,4,2,Super Strength,Magic,0 +Batman,Marvel,2,6,2,Invisibility,Magic,0 +Captain America,Marvel,9,6,5,Flight,Kryptonite,0 +Superman,DC Comics,8,3,4,Telekinesis,Kryptonite,0 +Captain America,Marvel,10,9,7,Telekinesis,Magic,1 +Wonder Woman,Marvel,7,7,5,Flight,Wooden Stake,0 +Iron Man,Marvel,9,1,6,Telekinesis,Wooden Stake,0 +Flash,Marvel,4,7,10,Telekinesis,Wooden Stake,0 +Iron Man,Marvel,4,5,4,Invisibility,Silver,0 +Batman,Marvel,1,5,2,Telekinesis,Magic,0 +Superman,Marvel,8,2,10,Flight,Magic,0 +Flash,DC Comics,3,4,9,Invisibility,Silver,1 +Wonder Woman,DC Comics,7,6,10,Flight,Magic,0 +Captain America,DC Comics,2,10,7,Super Strength,Magic,1 +Superman,DC Comics,2,7,4,Flight,Silver,0 +Spider-Man,DC Comics,7,5,3,Flight,Kryptonite,0 +Thor,Marvel,6,9,10,Invisibility,Magic,0 +Captain America,Marvel,3,3,3,Telekinesis,Silver,0 +Superman,Marvel,9,1,9,Flight,Wooden Stake,0 +Spider-Man,Marvel,10,4,5,Invisibility,Kryptonite,0 +Spider-Man,DC Comics,6,9,3,Super Strength,Wooden Stake,1 +Wonder Woman,DC Comics,10,4,5,Invisibility,Magic,0 +Wonder Woman,Marvel,10,2,2,Invisibility,Kryptonite,0 +Thor,Marvel,6,10,4,Telekinesis,Silver,0 +Spider-Man,DC Comics,1,5,10,Flight,Magic,0 +Flash,DC Comics,4,3,2,Super Strength,Silver,0 +Batman,DC Comics,10,9,2,Invisibility,Kryptonite,0 +Spider-Man,Marvel,6,4,8,Flight,Wooden Stake,0 +Superman,Marvel,6,6,1,Flight,Magic,0 +Wonder Woman,DC Comics,5,2,7,Invisibility,Magic,0 +Batman,DC Comics,1,6,5,Flight,Silver,0 +Flash,Marvel,8,3,8,Invisibility,Kryptonite,0 +Wonder Woman,Marvel,5,9,1,Invisibility,Silver,0 +Flash,Marvel,5,2,7,Invisibility,Kryptonite,0 +Wonder Woman,Marvel,7,9,5,Super Strength,Magic,1 +Wonder Woman,DC Comics,4,5,4,Invisibility,Kryptonite,0 +Spider-Man,DC Comics,6,8,7,Telekinesis,Magic,0 +Iron Man,DC Comics,4,2,10,Flight,Kryptonite,0 +Spider-Man,Marvel,3,6,2,Super Strength,Wooden Stake,1 +Wonder Woman,Marvel,7,3,1,Flight,Kryptonite,0 +Batman,Marvel,8,10,1,Super Strength,Wooden Stake,0 +Spider-Man,DC Comics,4,5,1,Telekinesis,Kryptonite,0 +Wonder Woman,DC Comics,2,8,5,Super Strength,Kryptonite,0 +Wonder Woman,DC Comics,10,10,10,Super Strength,Silver,1 +Spider-Man,Marvel,3,1,7,Super Strength,Silver,0 +Spider-Man,Marvel,1,5,2,Flight,Magic,0 +Batman,DC Comics,8,3,10,Invisibility,Silver,1 +Flash,Marvel,3,4,8,Flight,Kryptonite,0 +Spider-Man,DC Comics,10,2,4,Invisibility,Silver,0 +Thor,DC Comics,7,9,3,Flight,Kryptonite,0 +Superman,DC Comics,10,3,10,Telekinesis,Wooden Stake,1 +Thor,DC Comics,5,2,8,Telekinesis,Kryptonite,0 +Batman,Marvel,10,10,2,Super Strength,Magic,1 +Iron Man,Marvel,5,9,3,Telekinesis,Wooden Stake,0 +Thor,Marvel,7,7,3,Super Strength,Magic,1 +Flash,Marvel,9,6,10,Invisibility,Magic,1 +Wonder Woman,Marvel,5,1,1,Telekinesis,Magic,0 +Superman,Marvel,1,5,6,Invisibility,Silver,0 +Captain America,DC Comics,10,3,2,Flight,Magic,0 +Superman,Marvel,10,1,1,Invisibility,Wooden Stake,0 +Thor,Marvel,1,4,2,Flight,Kryptonite,0 +Captain America,Marvel,2,2,6,Invisibility,Magic,0 +Batman,DC Comics,6,2,4,Invisibility,Wooden Stake,0 +Flash,Marvel,9,3,6,Telekinesis,Magic,0 +Superman,DC Comics,8,8,9,Invisibility,Kryptonite,0 +Iron Man,Marvel,5,8,10,Telekinesis,Wooden Stake,0 +Captain America,Marvel,1,7,10,Telekinesis,Wooden Stake,0 +Captain America,Marvel,7,6,8,Super Strength,Kryptonite,1 +Superman,DC Comics,5,9,1,Super Strength,Wooden Stake,1 +Thor,DC Comics,6,4,8,Flight,Kryptonite,0 +Captain America,Marvel,7,1,9,Invisibility,Wooden Stake,1 +Batman,Marvel,3,8,6,Flight,Wooden Stake,0 +Superman,Marvel,10,7,10,Invisibility,Kryptonite,1 +Batman,DC Comics,3,7,5,Super Strength,Kryptonite,0 +Superman,DC Comics,5,3,6,Super Strength,Wooden Stake,0 +Batman,Marvel,6,4,6,Invisibility,Wooden Stake,1 +Thor,DC Comics,9,10,9,Invisibility,Kryptonite,1 +Superman,DC Comics,5,9,4,Super Strength,Silver,0 +Flash,DC Comics,1,6,2,Super Strength,Kryptonite,0 +Wonder Woman,DC Comics,4,5,9,Flight,Wooden Stake,0 +Iron Man,Marvel,5,3,2,Super Strength,Wooden Stake,1 +Thor,Marvel,10,9,10,Invisibility,Wooden Stake,1 +Batman,DC Comics,10,5,9,Flight,Kryptonite,1 +Flash,DC Comics,5,5,2,Invisibility,Wooden Stake,0 +Superman,DC Comics,7,4,8,Telekinesis,Silver,0 +Thor,Marvel,4,4,9,Flight,Magic,0 +Batman,Marvel,1,1,10,Invisibility,Silver,0 +Spider-Man,DC Comics,5,7,9,Super Strength,Kryptonite,0 +Spider-Man,DC Comics,7,9,10,Telekinesis,Wooden Stake,1 +Captain America,DC Comics,10,3,9,Invisibility,Kryptonite,0 +Iron Man,DC Comics,10,2,2,Flight,Magic,0 +Spider-Man,Marvel,6,3,4,Invisibility,Kryptonite,0 +Wonder Woman,Marvel,5,1,7,Telekinesis,Wooden Stake,0 +Batman,Marvel,4,6,2,Flight,Magic,0 +Thor,Marvel,2,7,1,Telekinesis,Magic,0 +Superman,Marvel,4,2,3,Invisibility,Wooden Stake,0 +Thor,Marvel,10,8,4,Super Strength,Wooden Stake,1 +Captain America,DC Comics,10,6,8,Super Strength,Wooden Stake,1 +Flash,DC Comics,3,4,6,Invisibility,Kryptonite,0 +Thor,Marvel,10,5,2,Invisibility,Silver,0 +Spider-Man,Marvel,1,8,9,Invisibility,Kryptonite,0 +Thor,Marvel,8,3,2,Flight,Kryptonite,0 +Spider-Man,DC Comics,5,3,5,Telekinesis,Silver,0 +Spider-Man,DC Comics,4,4,4,Telekinesis,Wooden Stake,0 +Iron Man,DC Comics,8,1,7,Telekinesis,Wooden Stake,0 +Captain America,DC Comics,7,9,8,Invisibility,Silver,1 +Wonder Woman,Marvel,2,8,5,Telekinesis,Silver,1 +Wonder Woman,DC Comics,1,8,10,Invisibility,Kryptonite,0 +Batman,Marvel,4,10,5,Flight,Magic,0 +Wonder Woman,DC Comics,8,6,2,Super Strength,Silver,0 +Spider-Man,DC Comics,2,7,8,Invisibility,Kryptonite,0 +Superman,DC Comics,3,6,2,Invisibility,Magic,0 +Captain America,DC Comics,1,9,10,Super Strength,Wooden Stake,1 +Batman,Marvel,1,3,6,Super Strength,Wooden Stake,0 +Wonder Woman,Marvel,3,3,8,Flight,Kryptonite,0 +Wonder Woman,Marvel,5,3,6,Telekinesis,Kryptonite,0 +Superman,Marvel,3,10,4,Invisibility,Silver,1 +Thor,Marvel,1,3,4,Telekinesis,Wooden Stake,0 +Captain America,Marvel,1,9,6,Invisibility,Kryptonite,0 +Superman,Marvel,8,4,4,Flight,Wooden Stake,0 +Wonder Woman,DC Comics,10,7,8,Super Strength,Wooden Stake,1 +Captain America,Marvel,2,9,9,Flight,Silver,1 +Captain America,DC Comics,3,7,1,Super Strength,Magic,0 +Wonder Woman,Marvel,2,9,4,Telekinesis,Silver,1 +Thor,DC Comics,3,3,4,Telekinesis,Kryptonite,0 +Thor,Marvel,7,4,2,Flight,Silver,0 +Wonder Woman,DC Comics,1,8,6,Super Strength,Silver,1 +Captain America,Marvel,10,6,3,Flight,Wooden Stake,0 +Superman,Marvel,8,5,7,Super Strength,Silver,1 +Iron Man,Marvel,10,4,5,Super Strength,Kryptonite,0 +Spider-Man,Marvel,10,8,4,Telekinesis,Magic,1 +Thor,DC Comics,10,1,5,Telekinesis,Silver,1 +Wonder Woman,Marvel,2,9,8,Super Strength,Silver,1 +Flash,Marvel,3,1,3,Super Strength,Magic,0 +Iron Man,DC Comics,9,8,7,Super Strength,Kryptonite,1 +Thor,Marvel,7,4,6,Telekinesis,Kryptonite,0 +Flash,DC Comics,4,9,1,Telekinesis,Silver,0 +Captain America,DC Comics,10,5,7,Invisibility,Wooden Stake,1 +Wonder Woman,Marvel,5,3,7,Super Strength,Silver,0 +Iron Man,Marvel,2,9,1,Invisibility,Magic,1 +Wonder Woman,DC Comics,8,9,9,Super Strength,Magic,1 +Superman,Marvel,4,4,6,Telekinesis,Magic,0 +Superman,DC Comics,9,4,2,Invisibility,Silver,1 +Batman,Marvel,5,8,5,Invisibility,Silver,0 +Spider-Man,Marvel,9,2,4,Flight,Kryptonite,0 +Spider-Man,DC Comics,4,9,7,Super Strength,Wooden Stake,0 +Thor,Marvel,10,6,8,Telekinesis,Silver,1 +Spider-Man,Marvel,5,9,1,Flight,Kryptonite,0 +Wonder Woman,Marvel,9,8,5,Flight,Silver,1 +Wonder Woman,DC Comics,8,7,3,Super Strength,Kryptonite,0 +Batman,Marvel,3,1,1,Flight,Kryptonite,0 +Flash,DC Comics,1,3,3,Super Strength,Wooden Stake,0 +Superman,Marvel,3,2,6,Flight,Silver,0 +Flash,DC Comics,4,5,7,Super Strength,Kryptonite,0 +Flash,Marvel,2,5,8,Telekinesis,Magic,0 +Iron Man,Marvel,1,5,4,Super Strength,Magic,0 +Iron Man,DC Comics,7,4,3,Super Strength,Magic,1 +Superman,Marvel,8,5,5,Invisibility,Wooden Stake,1 +Captain America,DC Comics,7,3,9,Telekinesis,Kryptonite,0 +Superman,Marvel,5,1,6,Telekinesis,Wooden Stake,0 +Iron Man,DC Comics,1,5,9,Telekinesis,Silver,1 +Flash,Marvel,7,9,6,Flight,Silver,1 +Thor,DC Comics,7,9,2,Invisibility,Kryptonite,0 +Batman,Marvel,9,4,5,Telekinesis,Magic,0 +Flash,DC Comics,3,3,9,Flight,Kryptonite,0 +Superman,DC Comics,9,1,8,Flight,Kryptonite,0 +Captain America,Marvel,1,2,7,Flight,Kryptonite,0 +Flash,DC Comics,1,8,1,Invisibility,Wooden Stake,0 +Thor,DC Comics,4,1,4,Flight,Silver,0 +Superman,Marvel,9,8,7,Invisibility,Kryptonite,0 +Thor,Marvel,6,7,7,Super Strength,Kryptonite,0 +Flash,Marvel,3,8,6,Flight,Kryptonite,0 +Superman,Marvel,1,6,8,Telekinesis,Wooden Stake,0 +Thor,Marvel,4,9,6,Flight,Wooden Stake,0 +Wonder Woman,Marvel,9,3,10,Super Strength,Wooden Stake,0 +Spider-Man,DC Comics,3,10,3,Super Strength,Kryptonite,0 +Thor,DC Comics,9,4,4,Flight,Magic,0 +Wonder Woman,DC Comics,7,6,3,Super Strength,Magic,1 +Flash,Marvel,4,8,1,Invisibility,Magic,0 +Spider-Man,Marvel,3,5,10,Invisibility,Silver,1 +Iron Man,DC Comics,10,3,5,Flight,Kryptonite,0 +Spider-Man,DC Comics,5,6,1,Invisibility,Magic,0 +Thor,Marvel,5,4,1,Invisibility,Magic,0 +Batman,DC Comics,3,9,2,Telekinesis,Magic,0 +Batman,Marvel,9,3,4,Flight,Kryptonite,0 +Iron Man,Marvel,4,4,6,Super Strength,Magic,1 +Thor,DC Comics,5,7,8,Flight,Magic,0 +Spider-Man,Marvel,4,7,3,Invisibility,Kryptonite,0 +Batman,Marvel,5,4,1,Telekinesis,Silver,0 +Superman,Marvel,7,6,3,Flight,Wooden Stake,1 +Captain America,Marvel,9,3,3,Flight,Magic,0 +Thor,DC Comics,7,6,5,Invisibility,Wooden Stake,1 +Wonder Woman,Marvel,5,2,4,Invisibility,Silver,0 +Wonder Woman,Marvel,10,8,4,Flight,Silver,1 +Superman,DC Comics,10,2,9,Invisibility,Magic,0 +Superman,Marvel,7,7,7,Invisibility,Kryptonite,1 +Thor,Marvel,10,9,4,Invisibility,Silver,1 +Captain America,DC Comics,5,1,3,Invisibility,Wooden Stake,1 +Batman,DC Comics,3,8,6,Invisibility,Wooden Stake,0 +Captain America,Marvel,7,7,3,Telekinesis,Wooden Stake,0 +Iron Man,Marvel,2,6,6,Invisibility,Wooden Stake,0 +Spider-Man,DC Comics,9,6,9,Super Strength,Silver,1 +Spider-Man,Marvel,10,6,6,Flight,Magic,0 +Superman,Marvel,10,9,4,Telekinesis,Magic,0 +Batman,Marvel,1,2,5,Telekinesis,Wooden Stake,0 +Captain America,DC Comics,6,1,6,Invisibility,Magic,0 +Superman,Marvel,7,6,3,Flight,Wooden Stake,0 +Thor,DC Comics,8,10,8,Super Strength,Wooden Stake,1 +Superman,DC Comics,10,8,4,Invisibility,Kryptonite,0 +Thor,DC Comics,9,3,8,Flight,Silver,1 +Thor,DC Comics,2,10,10,Invisibility,Silver,0 +Iron Man,Marvel,10,1,10,Invisibility,Wooden Stake,1 +Iron Man,DC Comics,2,9,3,Invisibility,Silver,0 +Thor,Marvel,5,1,10,Invisibility,Magic,1 +Flash,DC Comics,5,3,7,Invisibility,Wooden Stake,0 +Batman,DC Comics,6,8,9,Invisibility,Kryptonite,0 +Iron Man,Marvel,3,3,4,Invisibility,Magic,1 +Iron Man,DC Comics,8,4,8,Super Strength,Kryptonite,0 +Spider-Man,DC Comics,1,8,3,Telekinesis,Kryptonite,0 +Superman,Marvel,6,1,7,Super Strength,Silver,0 +Spider-Man,DC Comics,4,6,3,Invisibility,Silver,0 +Batman,DC Comics,1,1,7,Invisibility,Wooden Stake,0 +Iron Man,DC Comics,7,1,10,Super Strength,Silver,1 +Wonder Woman,Marvel,9,8,10,Super Strength,Kryptonite,1 +Flash,DC Comics,4,4,6,Telekinesis,Kryptonite,0 +Iron Man,Marvel,4,1,2,Super Strength,Magic,0 +Captain America,Marvel,6,10,3,Telekinesis,Kryptonite,0 +Batman,Marvel,3,7,6,Invisibility,Wooden Stake,1 +Wonder Woman,DC Comics,6,5,4,Flight,Wooden Stake,0 +Superman,DC Comics,7,5,6,Flight,Silver,0 +Superman,DC Comics,10,1,1,Flight,Silver,0 +Wonder Woman,DC Comics,10,10,10,Flight,Silver,1 +Superman,Marvel,3,6,1,Invisibility,Wooden Stake,0 +Flash,Marvel,7,9,3,Flight,Kryptonite,0 +Wonder Woman,DC Comics,3,9,8,Super Strength,Silver,0 +Batman,DC Comics,2,8,8,Super Strength,Magic,1 +Wonder Woman,Marvel,10,5,4,Flight,Silver,0 +Wonder Woman,DC Comics,4,1,6,Super Strength,Wooden Stake,0 +Captain America,DC Comics,8,9,8,Telekinesis,Silver,1 +Captain America,DC Comics,9,1,7,Invisibility,Kryptonite,0 +Spider-Man,DC Comics,7,8,7,Flight,Silver,1 +Batman,DC Comics,1,5,4,Flight,Wooden Stake,0 +Batman,DC Comics,3,3,9,Invisibility,Wooden Stake,1 +Captain America,Marvel,9,7,10,Super Strength,Magic,1 +Thor,Marvel,1,7,6,Invisibility,Wooden Stake,0 +Thor,Marvel,9,9,3,Invisibility,Magic,1 +Spider-Man,Marvel,8,7,5,Super Strength,Kryptonite,0 +Flash,DC Comics,1,3,5,Invisibility,Wooden Stake,0 +Thor,DC Comics,6,1,5,Super Strength,Silver,0 +Thor,Marvel,5,8,8,Super Strength,Kryptonite,0 +Thor,Marvel,6,3,9,Invisibility,Silver,0 +Flash,Marvel,10,8,9,Telekinesis,Silver,1 +Iron Man,Marvel,5,8,6,Super Strength,Silver,0 +Spider-Man,Marvel,6,5,6,Invisibility,Kryptonite,0 +Captain America,DC Comics,5,1,9,Super Strength,Kryptonite,0 +Thor,DC Comics,5,10,4,Telekinesis,Wooden Stake,0 +Superman,Marvel,4,7,6,Telekinesis,Silver,0 +Wonder Woman,Marvel,3,10,4,Flight,Magic,0 +Iron Man,DC Comics,3,5,1,Super Strength,Wooden Stake,0 +Flash,DC Comics,4,8,7,Super Strength,Kryptonite,0 +Flash,DC Comics,9,9,10,Invisibility,Magic,1 +Flash,Marvel,2,7,6,Super Strength,Kryptonite,0 +Thor,DC Comics,9,7,9,Flight,Magic,1 +Wonder Woman,Marvel,1,1,7,Telekinesis,Wooden Stake,0 +Wonder Woman,Marvel,1,4,7,Telekinesis,Magic,0 +Iron Man,DC Comics,5,2,2,Flight,Wooden Stake,0 +Spider-Man,DC Comics,6,2,9,Super Strength,Kryptonite,1 +Flash,DC Comics,6,2,10,Super Strength,Magic,0 +Superman,Marvel,3,4,9,Flight,Silver,1 +Superman,DC Comics,7,1,6,Invisibility,Silver,1 +Superman,DC Comics,9,4,3,Telekinesis,Kryptonite,0 +Flash,Marvel,10,2,1,Flight,Magic,0 +Thor,DC Comics,8,5,4,Flight,Silver,0 +Iron Man,DC Comics,6,3,3,Super Strength,Wooden Stake,0 +Flash,Marvel,8,8,1,Telekinesis,Magic,1 +Superman,Marvel,5,4,3,Super Strength,Magic,0 +Wonder Woman,Marvel,8,1,4,Flight,Silver,0 +Flash,Marvel,10,1,8,Invisibility,Wooden Stake,0 +Wonder Woman,Marvel,4,10,9,Telekinesis,Wooden Stake,0 +Batman,DC Comics,10,3,3,Flight,Wooden Stake,0 +Flash,DC Comics,8,9,6,Flight,Magic,0 +Batman,Marvel,10,7,10,Invisibility,Kryptonite,0 +Iron Man,DC Comics,2,2,5,Flight,Magic,0 +Flash,DC Comics,5,9,6,Flight,Magic,0 +Thor,Marvel,9,10,4,Telekinesis,Silver,0 +Thor,Marvel,4,2,10,Telekinesis,Kryptonite,0 +Spider-Man,Marvel,6,3,6,Telekinesis,Wooden Stake,0 +Spider-Man,DC Comics,1,10,7,Super Strength,Silver,0 +Superman,Marvel,9,2,9,Invisibility,Magic,1 +Captain America,DC Comics,1,3,10,Telekinesis,Kryptonite,0 +Wonder Woman,DC Comics,5,6,7,Super Strength,Wooden Stake,0 +Spider-Man,DC Comics,4,9,6,Super Strength,Wooden Stake,1 +Thor,DC Comics,3,9,1,Invisibility,Magic,0 +Wonder Woman,Marvel,6,7,2,Invisibility,Wooden Stake,0 +Captain America,DC Comics,2,3,1,Flight,Wooden Stake,0 +Spider-Man,Marvel,3,4,9,Super Strength,Kryptonite,0 +Iron Man,DC Comics,5,6,10,Telekinesis,Silver,1 +Batman,Marvel,9,5,10,Invisibility,Kryptonite,0 +Spider-Man,Marvel,2,2,9,Super Strength,Silver,1 +Flash,Marvel,10,6,7,Telekinesis,Silver,0 +Spider-Man,DC Comics,8,3,2,Super Strength,Silver,0 +Flash,DC Comics,2,8,6,Invisibility,Wooden Stake,0 +Iron Man,DC Comics,5,2,4,Flight,Kryptonite,0 +Thor,Marvel,7,1,1,Super Strength,Wooden Stake,0 +Superman,DC Comics,8,9,1,Telekinesis,Magic,1 +Iron Man,DC Comics,1,3,5,Invisibility,Kryptonite,0 +Superman,DC Comics,6,1,2,Flight,Silver,0 +Spider-Man,Marvel,1,7,4,Telekinesis,Wooden Stake,0 +Thor,DC Comics,2,10,1,Telekinesis,Wooden Stake,0 +Captain America,DC Comics,1,5,4,Telekinesis,Kryptonite,0 +Spider-Man,Marvel,5,5,6,Super Strength,Kryptonite,0 +Iron Man,Marvel,10,1,10,Invisibility,Silver,0 +Captain America,Marvel,9,9,4,Telekinesis,Silver,1 +Batman,Marvel,6,7,1,Super Strength,Magic,0 +Captain America,Marvel,1,8,7,Invisibility,Silver,0 +Iron Man,Marvel,1,9,2,Invisibility,Wooden Stake,1 +Wonder Woman,DC Comics,2,6,9,Super Strength,Magic,0 +Captain America,DC Comics,9,5,3,Super Strength,Magic,1 +Iron Man,Marvel,3,6,8,Telekinesis,Magic,0 +Wonder Woman,DC Comics,1,2,8,Invisibility,Kryptonite,0 +Spider-Man,Marvel,5,4,3,Flight,Silver,0 +Wonder Woman,DC Comics,7,3,4,Super Strength,Magic,0 +Thor,Marvel,6,7,2,Invisibility,Kryptonite,0 +Batman,Marvel,1,9,4,Invisibility,Kryptonite,0 +Wonder Woman,DC Comics,5,5,9,Telekinesis,Magic,0 +Thor,DC Comics,5,6,2,Flight,Magic,0 +Thor,DC Comics,6,10,3,Telekinesis,Wooden Stake,0 +Thor,DC Comics,3,2,4,Flight,Magic,0 +Wonder Woman,DC Comics,5,3,5,Flight,Wooden Stake,0 +Iron Man,DC Comics,7,3,1,Super Strength,Magic,0 +Flash,DC Comics,5,9,7,Invisibility,Magic,1 +Iron Man,DC Comics,5,7,10,Invisibility,Silver,0 +Batman,Marvel,5,8,7,Invisibility,Magic,1 +Iron Man,DC Comics,10,10,9,Flight,Magic,1 +Superman,DC Comics,10,9,4,Invisibility,Wooden Stake,1 +Iron Man,Marvel,3,6,6,Super Strength,Wooden Stake,0 +Iron Man,Marvel,1,4,2,Flight,Silver,0 +Iron Man,Marvel,5,1,4,Flight,Magic,0 +Spider-Man,Marvel,9,8,2,Flight,Magic,1 +Batman,DC Comics,1,7,10,Flight,Wooden Stake,0 +Superman,DC Comics,3,2,5,Super Strength,Kryptonite,0 +Iron Man,Marvel,4,8,7,Invisibility,Kryptonite,0 +Flash,Marvel,1,5,1,Super Strength,Kryptonite,0 +Batman,DC Comics,1,7,10,Invisibility,Wooden Stake,1 +Captain America,DC Comics,8,4,10,Super Strength,Wooden Stake,1 +Spider-Man,DC Comics,2,5,7,Telekinesis,Kryptonite,0 +Wonder Woman,DC Comics,8,8,10,Telekinesis,Kryptonite,0 +Flash,Marvel,7,1,6,Telekinesis,Magic,0 +Iron Man,DC Comics,10,1,6,Telekinesis,Wooden Stake,1 +Flash,Marvel,10,4,8,Flight,Wooden Stake,1 +Superman,Marvel,2,3,8,Flight,Kryptonite,0 +Spider-Man,Marvel,6,10,6,Super Strength,Kryptonite,0 +Superman,DC Comics,6,2,3,Super Strength,Silver,0 +Wonder Woman,Marvel,3,3,5,Telekinesis,Wooden Stake,0 +Wonder Woman,DC Comics,2,1,2,Invisibility,Silver,0 +Flash,Marvel,1,1,5,Telekinesis,Magic,0 +Spider-Man,DC Comics,6,6,9,Super Strength,Silver,1 +Captain America,Marvel,5,5,10,Telekinesis,Kryptonite,0 +Flash,Marvel,9,8,1,Super Strength,Wooden Stake,1 +Batman,DC Comics,1,2,10,Telekinesis,Wooden Stake,0 +Spider-Man,DC Comics,7,4,5,Invisibility,Silver,0 +Thor,Marvel,5,8,6,Telekinesis,Silver,0 +Wonder Woman,Marvel,5,6,7,Invisibility,Magic,1 +Captain America,DC Comics,2,1,9,Invisibility,Magic,0 +Flash,Marvel,3,4,6,Super Strength,Kryptonite,0 +Wonder Woman,DC Comics,7,1,5,Invisibility,Kryptonite,0 +Thor,DC Comics,6,2,7,Flight,Kryptonite,0 +Captain America,Marvel,2,5,1,Flight,Silver,0 +Wonder Woman,DC Comics,6,8,5,Flight,Silver,0 +Thor,Marvel,2,8,2,Super Strength,Wooden Stake,0 +Thor,DC Comics,2,3,4,Flight,Kryptonite,0 +Wonder Woman,DC Comics,2,4,7,Super Strength,Silver,1 +Flash,Marvel,3,10,5,Super Strength,Wooden Stake,0 +Wonder Woman,DC Comics,2,6,6,Flight,Kryptonite,0 +Superman,Marvel,4,10,2,Invisibility,Magic,0 +Spider-Man,DC Comics,9,3,3,Telekinesis,Magic,0 +Spider-Man,DC Comics,6,2,7,Super Strength,Silver,0 +Captain America,DC Comics,1,6,2,Flight,Wooden Stake,0 +Batman,DC Comics,8,5,6,Super Strength,Magic,1 +Wonder Woman,Marvel,7,10,5,Invisibility,Wooden Stake,1 +Flash,DC Comics,10,5,10,Invisibility,Wooden Stake,1 +Superman,DC Comics,3,10,1,Flight,Magic,0 +Spider-Man,DC Comics,1,5,10,Super Strength,Wooden Stake,0 +Spider-Man,Marvel,5,10,4,Telekinesis,Magic,1 +Flash,Marvel,4,5,2,Telekinesis,Silver,0 +Superman,Marvel,10,3,4,Super Strength,Kryptonite,0 +Iron Man,Marvel,8,7,1,Super Strength,Kryptonite,0 +Superman,DC Comics,1,6,2,Super Strength,Silver,0 +Flash,DC Comics,10,4,8,Flight,Magic,0 +Spider-Man,DC Comics,1,2,6,Invisibility,Magic,0 +Batman,Marvel,4,9,2,Telekinesis,Magic,0 +Iron Man,Marvel,8,1,6,Flight,Magic,0 +Flash,DC Comics,5,4,10,Super Strength,Silver,0 +Flash,DC Comics,2,1,9,Super Strength,Kryptonite,0 +Thor,DC Comics,6,6,7,Invisibility,Wooden Stake,1 +Superman,Marvel,5,4,9,Super Strength,Wooden Stake,1 +Thor,DC Comics,2,5,5,Flight,Kryptonite,0 +Iron Man,DC Comics,3,5,7,Flight,Silver,0 +Iron Man,Marvel,9,9,7,Invisibility,Wooden Stake,1 +Iron Man,Marvel,7,1,3,Flight,Kryptonite,0 +Captain America,DC Comics,7,2,7,Telekinesis,Silver,0 +Superman,Marvel,6,6,1,Flight,Wooden Stake,0 +Flash,DC Comics,8,5,9,Flight,Magic,1 +Wonder Woman,DC Comics,4,7,10,Flight,Magic,0 +Batman,DC Comics,8,3,6,Telekinesis,Silver,0 +Batman,DC Comics,4,3,5,Super Strength,Magic,0 +Flash,Marvel,8,10,7,Flight,Silver,0 +Thor,Marvel,9,2,5,Invisibility,Kryptonite,0 +Flash,Marvel,3,3,10,Telekinesis,Kryptonite,0 +Thor,DC Comics,3,10,5,Invisibility,Wooden Stake,0 +Wonder Woman,DC Comics,2,1,10,Flight,Silver,0 +Thor,DC Comics,10,5,7,Invisibility,Wooden Stake,1 +Superman,Marvel,3,5,10,Flight,Wooden Stake,0 +Spider-Man,Marvel,3,7,7,Telekinesis,Kryptonite,0 +Thor,DC Comics,5,4,3,Invisibility,Wooden Stake,0 +Iron Man,Marvel,5,3,3,Invisibility,Magic,0 +Thor,Marvel,2,1,10,Flight,Wooden Stake,0 +Iron Man,Marvel,10,8,3,Flight,Silver,1 +Captain America,Marvel,6,3,6,Super Strength,Magic,1 +Spider-Man,DC Comics,5,2,6,Flight,Kryptonite,0 +Spider-Man,Marvel,6,4,3,Flight,Silver,0 +Wonder Woman,DC Comics,1,3,3,Super Strength,Magic,0 +Superman,Marvel,5,1,8,Flight,Silver,0 +Flash,DC Comics,9,3,8,Flight,Magic,1 +Superman,DC Comics,10,2,7,Super Strength,Silver,1 +Batman,Marvel,2,8,10,Telekinesis,Silver,0 +Captain America,DC Comics,1,6,4,Telekinesis,Magic,0 +Wonder Woman,DC Comics,10,9,4,Flight,Kryptonite,0 +Superman,Marvel,9,8,3,Flight,Kryptonite,0 +Iron Man,DC Comics,10,10,5,Super Strength,Silver,1 +Captain America,Marvel,9,3,3,Super Strength,Silver,0 +Spider-Man,DC Comics,9,5,8,Telekinesis,Kryptonite,0 +Flash,Marvel,6,7,7,Invisibility,Kryptonite,0 +Flash,Marvel,8,5,3,Flight,Wooden Stake,0 +Iron Man,Marvel,1,8,9,Invisibility,Kryptonite,0 +Wonder Woman,Marvel,10,5,5,Invisibility,Silver,1 +Wonder Woman,Marvel,4,1,9,Super Strength,Magic,0 +Captain America,DC Comics,1,5,7,Flight,Kryptonite,0 +Spider-Man,DC Comics,8,4,7,Flight,Wooden Stake,1 +Superman,Marvel,1,6,6,Super Strength,Wooden Stake,1 +Iron Man,DC Comics,3,3,2,Invisibility,Wooden Stake,0 +Iron Man,DC Comics,4,5,9,Super Strength,Magic,0 +Spider-Man,DC Comics,8,2,6,Telekinesis,Kryptonite,0 +Iron Man,Marvel,6,6,8,Flight,Kryptonite,0 +Flash,Marvel,10,6,1,Telekinesis,Kryptonite,0 +Superman,DC Comics,7,5,5,Super Strength,Magic,0 +Superman,Marvel,8,6,1,Flight,Magic,0 +Superman,Marvel,2,7,10,Telekinesis,Silver,1 +Spider-Man,DC Comics,10,5,8,Telekinesis,Wooden Stake,1 +Thor,Marvel,8,1,8,Invisibility,Wooden Stake,1 +Thor,Marvel,3,8,1,Flight,Kryptonite,0 +Wonder Woman,Marvel,7,4,9,Telekinesis,Magic,1 +Wonder Woman,Marvel,3,9,2,Telekinesis,Magic,0 +Flash,Marvel,7,10,9,Invisibility,Kryptonite,0 +Iron Man,DC Comics,2,6,1,Telekinesis,Kryptonite,0 +Superman,Marvel,10,1,10,Telekinesis,Silver,1 +Iron Man,Marvel,6,3,9,Telekinesis,Wooden Stake,0 +Spider-Man,DC Comics,3,3,4,Invisibility,Wooden Stake,0 +Iron Man,DC Comics,3,10,9,Telekinesis,Wooden Stake,1 +Batman,Marvel,9,4,7,Telekinesis,Silver,1 +Thor,DC Comics,7,6,6,Flight,Kryptonite,0 +Iron Man,Marvel,5,7,5,Flight,Kryptonite,0 +Iron Man,DC Comics,10,10,9,Invisibility,Wooden Stake,1 +Captain America,Marvel,7,4,2,Super Strength,Wooden Stake,0 +Flash,DC Comics,9,6,2,Flight,Silver,0 +Iron Man,Marvel,1,1,9,Invisibility,Magic,0 +Batman,DC Comics,7,8,3,Telekinesis,Magic,1 +Thor,Marvel,6,7,8,Telekinesis,Wooden Stake,0 +Captain America,Marvel,10,9,9,Invisibility,Silver,1 +Flash,Marvel,9,3,8,Telekinesis,Wooden Stake,0 +Spider-Man,DC Comics,1,2,4,Telekinesis,Magic,0 +Wonder Woman,DC Comics,4,1,1,Super Strength,Wooden Stake,0 +Spider-Man,Marvel,9,3,4,Telekinesis,Magic,0 +Thor,Marvel,4,5,9,Flight,Magic,0 +Wonder Woman,Marvel,10,2,2,Telekinesis,Magic,0 +Spider-Man,Marvel,3,3,3,Invisibility,Kryptonite,0 +Flash,DC Comics,9,4,10,Super Strength,Kryptonite,1 +Batman,DC Comics,2,7,8,Telekinesis,Wooden Stake,0 +Iron Man,DC Comics,4,3,6,Invisibility,Magic,0 +Thor,Marvel,6,9,8,Flight,Kryptonite,1 +Wonder Woman,Marvel,2,8,7,Telekinesis,Wooden Stake,0 +Captain America,DC Comics,8,4,5,Super Strength,Wooden Stake,0 +Iron Man,DC Comics,8,1,9,Telekinesis,Wooden Stake,1 +Spider-Man,DC Comics,1,1,4,Invisibility,Wooden Stake,0 +Spider-Man,DC Comics,3,1,6,Super Strength,Wooden Stake,0 +Captain America,Marvel,10,1,2,Telekinesis,Silver,0 +Batman,Marvel,9,8,2,Flight,Magic,0 +Flash,Marvel,5,3,2,Super Strength,Wooden Stake,1 +Flash,DC Comics,6,6,10,Flight,Silver,0 +Captain America,Marvel,4,3,7,Invisibility,Magic,1 +Thor,DC Comics,10,5,2,Telekinesis,Kryptonite,0 +Captain America,DC Comics,2,7,2,Flight,Wooden Stake,0 +Spider-Man,DC Comics,8,2,9,Invisibility,Silver,1 +Batman,DC Comics,6,6,7,Telekinesis,Kryptonite,0 +Batman,DC Comics,5,6,3,Invisibility,Silver,0 +Superman,Marvel,9,3,3,Flight,Magic,0 +Captain America,Marvel,1,6,7,Invisibility,Magic,0 +Thor,Marvel,5,10,5,Super Strength,Kryptonite,0 +Spider-Man,DC Comics,6,10,10,Telekinesis,Silver,0 +Iron Man,Marvel,5,5,6,Invisibility,Wooden Stake,1 +Flash,DC Comics,6,2,8,Flight,Wooden Stake,1 +Flash,Marvel,6,9,9,Telekinesis,Kryptonite,0 +Flash,DC Comics,7,8,1,Super Strength,Kryptonite,0 +Batman,DC Comics,4,3,3,Telekinesis,Kryptonite,0 +Flash,Marvel,8,8,7,Super Strength,Silver,1 +Captain America,DC Comics,7,9,6,Telekinesis,Wooden Stake,0 +Superman,Marvel,9,3,7,Invisibility,Wooden Stake,0 +Thor,Marvel,7,3,8,Invisibility,Wooden Stake,0 +Thor,Marvel,3,2,6,Flight,Kryptonite,0 +Wonder Woman,DC Comics,3,8,3,Super Strength,Wooden Stake,0 +Flash,DC Comics,8,10,2,Flight,Magic,1 +Spider-Man,DC Comics,5,1,7,Invisibility,Kryptonite,0 +Batman,DC Comics,4,8,1,Super Strength,Wooden Stake,0 +Spider-Man,Marvel,8,7,3,Flight,Silver,1 +Flash,DC Comics,6,7,4,Flight,Kryptonite,0 +Superman,Marvel,2,3,1,Flight,Magic,0 +Iron Man,Marvel,4,1,5,Flight,Magic,0 +Flash,DC Comics,4,4,10,Flight,Silver,0 +Iron Man,DC Comics,6,9,3,Super Strength,Silver,1 +Iron Man,Marvel,6,5,2,Flight,Kryptonite,0 +Thor,DC Comics,1,1,3,Super Strength,Kryptonite,0 +Batman,Marvel,8,5,8,Flight,Magic,1 +Flash,DC Comics,6,8,6,Invisibility,Silver,1 +Spider-Man,DC Comics,3,8,7,Invisibility,Kryptonite,0 +Spider-Man,Marvel,9,5,6,Flight,Magic,0 +Superman,Marvel,2,9,6,Telekinesis,Silver,0 +Iron Man,Marvel,8,1,3,Invisibility,Magic,1 +Batman,DC Comics,10,4,8,Super Strength,Wooden Stake,1 +Batman,DC Comics,3,3,7,Flight,Silver,0 +Superman,DC Comics,5,2,7,Super Strength,Kryptonite,0 +Captain America,Marvel,6,8,6,Telekinesis,Kryptonite,0 +Batman,Marvel,10,7,5,Flight,Wooden Stake,0 +Batman,DC Comics,6,9,10,Invisibility,Silver,0 +Spider-Man,Marvel,4,2,8,Super Strength,Magic,1 +Superman,DC Comics,3,4,5,Invisibility,Kryptonite,0 +Flash,Marvel,4,6,9,Invisibility,Wooden Stake,1 +Batman,DC Comics,1,3,9,Flight,Wooden Stake,0 +Batman,DC Comics,4,8,1,Super Strength,Silver,0 +Spider-Man,DC Comics,1,3,6,Telekinesis,Silver,0 +Flash,Marvel,1,2,7,Invisibility,Kryptonite,0 +Flash,Marvel,10,3,3,Flight,Wooden Stake,1 +Batman,DC Comics,6,6,7,Flight,Magic,0 +Spider-Man,DC Comics,5,2,7,Telekinesis,Wooden Stake,0 +Captain America,DC Comics,4,8,2,Flight,Magic,1 +Thor,DC Comics,3,1,7,Invisibility,Magic,0 +Wonder Woman,DC Comics,1,7,1,Flight,Kryptonite,0 +Spider-Man,DC Comics,6,2,5,Super Strength,Wooden Stake,1 +Spider-Man,Marvel,2,10,9,Super Strength,Magic,1 +Batman,Marvel,8,6,7,Invisibility,Silver,1 +Spider-Man,Marvel,10,2,7,Super Strength,Magic,1 +Superman,Marvel,5,2,2,Telekinesis,Silver,0 +Iron Man,DC Comics,7,10,8,Flight,Silver,1 +Iron Man,DC Comics,10,8,3,Invisibility,Wooden Stake,0 +Captain America,DC Comics,2,2,8,Telekinesis,Silver,0 +Flash,Marvel,8,7,3,Flight,Magic,0 +Spider-Man,Marvel,2,3,10,Telekinesis,Silver,1 +Flash,DC Comics,4,8,7,Invisibility,Wooden Stake,0 +Superman,Marvel,1,7,2,Invisibility,Kryptonite,0 +Batman,Marvel,5,8,4,Telekinesis,Magic,0 +Batman,DC Comics,9,7,6,Flight,Magic,0 +Wonder Woman,DC Comics,1,6,9,Super Strength,Wooden Stake,1 +Thor,DC Comics,9,7,5,Super Strength,Wooden Stake,0 +Captain America,Marvel,8,5,9,Telekinesis,Wooden Stake,1 +Superman,DC Comics,6,7,5,Invisibility,Wooden Stake,0 +Flash,DC Comics,7,1,10,Flight,Magic,1 +Superman,DC Comics,3,1,8,Flight,Kryptonite,0 +Wonder Woman,Marvel,1,9,1,Invisibility,Silver,0 +Wonder Woman,Marvel,5,5,7,Super Strength,Silver,1 +Batman,DC Comics,2,5,4,Flight,Kryptonite,0 +Flash,DC Comics,5,3,5,Telekinesis,Kryptonite,0 +Thor,Marvel,8,5,6,Super Strength,Kryptonite,1 +Batman,Marvel,9,3,5,Telekinesis,Wooden Stake,0 +Thor,DC Comics,2,9,1,Super Strength,Magic,0 +Iron Man,Marvel,3,9,9,Invisibility,Magic,1 +Superman,DC Comics,3,6,2,Telekinesis,Magic,0 +Wonder Woman,DC Comics,1,1,9,Telekinesis,Wooden Stake,0 +Iron Man,Marvel,8,7,10,Invisibility,Magic,1 +Flash,DC Comics,6,7,2,Telekinesis,Wooden Stake,0 +Batman,DC Comics,8,10,9,Super Strength,Magic,1 +Captain America,Marvel,9,10,6,Flight,Kryptonite,0 +Spider-Man,DC Comics,5,4,9,Flight,Silver,1 +Captain America,Marvel,3,8,6,Invisibility,Silver,1 +Captain America,DC Comics,5,6,6,Super Strength,Wooden Stake,0 +Spider-Man,DC Comics,5,4,2,Telekinesis,Magic,0 +Superman,Marvel,5,4,8,Telekinesis,Silver,0 +Iron Man,Marvel,3,2,3,Flight,Kryptonite,0 +Iron Man,Marvel,10,2,7,Telekinesis,Kryptonite,0 +Superman,Marvel,4,4,5,Flight,Kryptonite,0 +Spider-Man,Marvel,9,5,3,Invisibility,Wooden Stake,0 +Thor,Marvel,10,8,1,Telekinesis,Wooden Stake,1 +Captain America,DC Comics,9,6,8,Super Strength,Magic,0 +Batman,Marvel,2,4,3,Telekinesis,Kryptonite,0 +Iron Man,DC Comics,8,7,2,Flight,Magic,0 +Superman,Marvel,8,8,1,Invisibility,Magic,0 +Batman,DC Comics,7,2,4,Flight,Kryptonite,0 +Wonder Woman,DC Comics,8,7,8,Telekinesis,Magic,0 +Spider-Man,Marvel,3,2,3,Flight,Silver,0 +Batman,DC Comics,6,2,1,Flight,Wooden Stake,0 +Flash,DC Comics,1,8,4,Invisibility,Magic,0 +Batman,DC Comics,7,2,9,Super Strength,Kryptonite,0 +Flash,Marvel,1,9,1,Telekinesis,Wooden Stake,0 +Captain America,Marvel,9,1,2,Invisibility,Wooden Stake,0 +Spider-Man,DC Comics,1,9,9,Super Strength,Magic,0 +Batman,Marvel,1,1,2,Flight,Silver,0 +Iron Man,Marvel,7,10,3,Super Strength,Magic,1 +Spider-Man,DC Comics,2,10,7,Flight,Silver,1 +Iron Man,DC Comics,5,2,3,Flight,Wooden Stake,0 +Superman,Marvel,8,6,9,Invisibility,Magic,1 +Superman,Marvel,8,6,6,Flight,Kryptonite,0 +Wonder Woman,Marvel,3,1,3,Invisibility,Magic,0 +Thor,DC Comics,7,7,9,Super Strength,Silver,1 +Superman,Marvel,3,8,1,Super Strength,Silver,0 +Batman,Marvel,6,2,10,Flight,Magic,1 +Spider-Man,Marvel,6,8,3,Invisibility,Silver,0 +Superman,DC Comics,3,9,1,Flight,Wooden Stake,0 +Iron Man,DC Comics,7,6,2,Invisibility,Magic,1 +Batman,DC Comics,3,5,8,Invisibility,Silver,0 +Superman,Marvel,8,9,7,Invisibility,Magic,1 +Flash,Marvel,10,9,2,Super Strength,Magic,1 +Flash,DC Comics,4,1,2,Invisibility,Kryptonite,0 +Captain America,Marvel,1,3,9,Super Strength,Magic,0 +Iron Man,Marvel,4,9,6,Invisibility,Kryptonite,0 +Wonder Woman,Marvel,7,2,5,Super Strength,Silver,1 +Wonder Woman,DC Comics,4,4,10,Telekinesis,Kryptonite,0 +Wonder Woman,Marvel,6,4,6,Super Strength,Kryptonite,0 +Iron Man,Marvel,9,2,9,Super Strength,Kryptonite,0 +Wonder Woman,DC Comics,1,3,7,Flight,Wooden Stake,0 +Thor,Marvel,5,3,10,Invisibility,Kryptonite,1 +Captain America,DC Comics,7,1,10,Telekinesis,Magic,0 +Thor,Marvel,1,6,9,Flight,Kryptonite,0 +Flash,DC Comics,4,8,4,Invisibility,Magic,1 +Superman,DC Comics,6,3,2,Telekinesis,Kryptonite,0 +Captain America,Marvel,2,5,8,Telekinesis,Wooden Stake,0 +Iron Man,Marvel,10,1,4,Telekinesis,Silver,0 +Thor,DC Comics,5,10,9,Invisibility,Kryptonite,0 +Batman,Marvel,10,7,4,Telekinesis,Kryptonite,0 +Captain America,DC Comics,1,10,8,Telekinesis,Wooden Stake,0 +Iron Man,Marvel,6,1,9,Flight,Kryptonite,0 +Spider-Man,Marvel,6,9,9,Super Strength,Magic,0 +Captain America,Marvel,4,8,10,Invisibility,Kryptonite,1 +Captain America,Marvel,8,7,4,Super Strength,Kryptonite,0 +Superman,DC Comics,4,10,1,Flight,Silver,0 +Batman,DC Comics,8,7,3,Super Strength,Silver,0 +Superman,Marvel,8,5,9,Telekinesis,Kryptonite,1 +Wonder Woman,Marvel,5,5,4,Telekinesis,Wooden Stake,0 +Captain America,Marvel,4,5,5,Invisibility,Silver,0 +Flash,Marvel,2,1,7,Invisibility,Kryptonite,0 +Captain America,Marvel,3,8,5,Invisibility,Silver,0 +Wonder Woman,DC Comics,3,1,4,Flight,Kryptonite,0 +Batman,DC Comics,4,4,2,Invisibility,Silver,0 +Batman,Marvel,4,9,2,Flight,Silver,0 +Flash,DC Comics,10,9,4,Telekinesis,Magic,1 +Flash,DC Comics,5,5,10,Super Strength,Kryptonite,0 +Thor,Marvel,4,4,10,Telekinesis,Kryptonite,0 +Iron Man,DC Comics,10,3,9,Telekinesis,Kryptonite,1 +Iron Man,DC Comics,8,3,8,Telekinesis,Kryptonite,0 +Thor,DC Comics,6,5,3,Invisibility,Silver,0 +Iron Man,DC Comics,6,10,9,Invisibility,Magic,1 +Captain America,Marvel,8,1,5,Invisibility,Magic,0 +Thor,DC Comics,7,5,3,Super Strength,Wooden Stake,0 +Thor,DC Comics,10,6,5,Invisibility,Kryptonite,1 +Iron Man,DC Comics,10,7,10,Flight,Wooden Stake,1 +Spider-Man,Marvel,8,9,4,Telekinesis,Silver,0 +Flash,DC Comics,2,3,8,Super Strength,Wooden Stake,1 +Iron Man,DC Comics,9,2,5,Super Strength,Kryptonite,1 +Superman,DC Comics,1,3,10,Super Strength,Magic,0 +Spider-Man,Marvel,8,9,8,Super Strength,Magic,1 +Thor,Marvel,4,7,9,Super Strength,Kryptonite,0 +Spider-Man,Marvel,4,9,4,Flight,Silver,0 +Captain America,Marvel,5,2,7,Telekinesis,Kryptonite,0 +Batman,Marvel,8,5,2,Super Strength,Silver,1 +Spider-Man,DC Comics,5,4,6,Telekinesis,Magic,0 +Superman,Marvel,8,2,8,Invisibility,Silver,0 +Batman,DC Comics,10,9,7,Super Strength,Kryptonite,0 +Captain America,Marvel,1,9,7,Super Strength,Kryptonite,0 +Superman,Marvel,10,6,8,Telekinesis,Kryptonite,1 +Wonder Woman,Marvel,9,6,7,Super Strength,Silver,1 +Batman,DC Comics,6,8,5,Super Strength,Silver,1 +Wonder Woman,DC Comics,3,6,7,Super Strength,Silver,0 +Captain America,DC Comics,8,1,10,Flight,Magic,0 +Batman,Marvel,9,4,3,Flight,Wooden Stake,0 +Batman,Marvel,6,7,5,Super Strength,Wooden Stake,1 +Iron Man,Marvel,7,2,7,Flight,Kryptonite,0 +Superman,Marvel,1,9,9,Invisibility,Magic,1 +Flash,Marvel,5,8,2,Super Strength,Silver,0 +Superman,Marvel,5,8,4,Invisibility,Kryptonite,0 +Spider-Man,DC Comics,10,7,7,Telekinesis,Magic,1 +Wonder Woman,DC Comics,4,4,1,Invisibility,Kryptonite,0 +Wonder Woman,Marvel,6,2,2,Telekinesis,Magic,0 +Superman,DC Comics,7,3,9,Super Strength,Magic,1 +Superman,DC Comics,9,6,10,Telekinesis,Wooden Stake,0 +Batman,DC Comics,1,5,7,Telekinesis,Kryptonite,0 +Wonder Woman,Marvel,6,8,10,Invisibility,Silver,1 +Thor,Marvel,7,6,7,Invisibility,Wooden Stake,0 +Flash,Marvel,3,6,6,Invisibility,Wooden Stake,0 +Iron Man,Marvel,8,1,3,Super Strength,Silver,0 +Flash,DC Comics,5,4,10,Super Strength,Magic,1 +Spider-Man,Marvel,9,5,3,Invisibility,Silver,1 +Flash,Marvel,5,3,2,Super Strength,Kryptonite,0 +Iron Man,Marvel,9,9,6,Super Strength,Silver,1 +Spider-Man,DC Comics,10,1,4,Telekinesis,Magic,0 +Captain America,DC Comics,4,6,5,Telekinesis,Silver,0 +Batman,DC Comics,9,6,3,Invisibility,Magic,1 +Superman,DC Comics,5,10,6,Super Strength,Magic,1 +Superman,DC Comics,10,5,3,Telekinesis,Kryptonite,0 +Thor,Marvel,9,5,8,Flight,Silver,1 +Flash,DC Comics,3,10,9,Super Strength,Silver,1 +Wonder Woman,DC Comics,4,5,4,Flight,Kryptonite,0 +Wonder Woman,Marvel,9,6,9,Invisibility,Magic,1 +Iron Man,Marvel,10,8,7,Super Strength,Silver,1 +Iron Man,Marvel,6,2,3,Invisibility,Kryptonite,0 +Iron Man,DC Comics,2,6,7,Invisibility,Magic,1 +Wonder Woman,Marvel,7,1,1,Invisibility,Kryptonite,0 +Superman,DC Comics,2,4,3,Invisibility,Silver,0 +Wonder Woman,Marvel,2,10,6,Invisibility,Kryptonite,0 +Iron Man,DC Comics,1,3,4,Super Strength,Wooden Stake,0 +Batman,DC Comics,3,9,7,Flight,Magic,0 +Spider-Man,DC Comics,6,3,3,Super Strength,Wooden Stake,0 +Superman,DC Comics,8,6,1,Super Strength,Wooden Stake,1 +Batman,Marvel,9,1,9,Super Strength,Magic,0 +Captain America,Marvel,7,6,6,Telekinesis,Magic,0 +Flash,DC Comics,4,4,8,Telekinesis,Kryptonite,0 +Batman,Marvel,6,8,3,Super Strength,Magic,0 +Flash,DC Comics,5,9,8,Flight,Wooden Stake,1 +Batman,Marvel,8,4,2,Super Strength,Wooden Stake,0 +Captain America,Marvel,1,10,4,Invisibility,Silver,0 +Batman,DC Comics,1,10,3,Telekinesis,Magic,0 +Spider-Man,DC Comics,6,6,10,Telekinesis,Wooden Stake,1 +Superman,Marvel,10,1,1,Super Strength,Silver,0 +Flash,DC Comics,2,4,7,Super Strength,Silver,0 +Thor,Marvel,5,7,10,Flight,Kryptonite,0 +Wonder Woman,Marvel,1,1,2,Flight,Wooden Stake,0 +Captain America,Marvel,7,8,4,Invisibility,Kryptonite,0 +Flash,DC Comics,1,10,9,Super Strength,Wooden Stake,0 +Superman,DC Comics,4,6,6,Super Strength,Kryptonite,0 +Iron Man,Marvel,9,5,8,Super Strength,Kryptonite,0 +Flash,DC Comics,1,10,2,Telekinesis,Magic,0 +Spider-Man,DC Comics,4,9,7,Invisibility,Kryptonite,0 +Thor,Marvel,6,2,6,Flight,Magic,0 +Spider-Man,DC Comics,6,5,9,Telekinesis,Silver,0 +Flash,DC Comics,8,6,7,Telekinesis,Wooden Stake,0 +Spider-Man,Marvel,1,7,1,Telekinesis,Silver,0 +Iron Man,DC Comics,7,5,8,Telekinesis,Wooden Stake,0 +Thor,Marvel,1,9,10,Invisibility,Silver,1 +Wonder Woman,DC Comics,7,1,3,Super Strength,Wooden Stake,0 +Spider-Man,DC Comics,3,7,2,Flight,Kryptonite,0 +Iron Man,Marvel,8,10,3,Flight,Wooden Stake,0 +Captain America,Marvel,3,7,6,Telekinesis,Wooden Stake,0 +Iron Man,DC Comics,1,4,3,Telekinesis,Silver,0 +Batman,Marvel,8,9,10,Invisibility,Silver,1 +Flash,Marvel,3,5,5,Telekinesis,Silver,0 +Superman,DC Comics,2,4,6,Flight,Magic,0 +Flash,Marvel,1,7,8,Flight,Magic,0 +Flash,DC Comics,3,4,7,Super Strength,Wooden Stake,0 +Iron Man,DC Comics,2,3,8,Super Strength,Wooden Stake,0 +Iron Man,Marvel,2,9,3,Flight,Kryptonite,0 +Iron Man,DC Comics,6,8,4,Flight,Kryptonite,0 +Flash,Marvel,1,1,6,Invisibility,Wooden Stake,0 +Wonder Woman,DC Comics,2,7,7,Invisibility,Magic,0 +Spider-Man,Marvel,6,9,9,Flight,Wooden Stake,1 +Wonder Woman,Marvel,3,8,1,Telekinesis,Kryptonite,0 +Thor,DC Comics,4,8,8,Super Strength,Magic,0 +Iron Man,Marvel,1,6,8,Flight,Magic,0 +Iron Man,Marvel,8,4,6,Telekinesis,Kryptonite,0 +Batman,Marvel,7,8,4,Flight,Wooden Stake,0 +Batman,DC Comics,7,3,3,Super Strength,Silver,1 +Captain America,DC Comics,3,9,3,Super Strength,Wooden Stake,0 +Captain America,Marvel,10,2,6,Invisibility,Wooden Stake,0 +Batman,Marvel,10,2,8,Invisibility,Kryptonite,0 +Thor,DC Comics,3,7,7,Invisibility,Magic,0 +Captain America,DC Comics,2,10,1,Invisibility,Kryptonite,0 +Superman,DC Comics,1,4,6,Super Strength,Wooden Stake,0 +Superman,Marvel,7,10,7,Telekinesis,Silver,1 +Thor,DC Comics,7,8,7,Telekinesis,Silver,1 +Batman,Marvel,2,9,9,Telekinesis,Silver,0 +Captain America,DC Comics,7,7,10,Flight,Kryptonite,0 +Iron Man,Marvel,8,5,5,Invisibility,Magic,1 +Batman,DC Comics,1,8,1,Invisibility,Kryptonite,0 +Captain America,Marvel,9,4,2,Super Strength,Silver,0 +Thor,DC Comics,7,2,4,Super Strength,Wooden Stake,1 +Superman,DC Comics,3,6,5,Flight,Magic,0 +Flash,Marvel,8,9,9,Flight,Kryptonite,0 +Thor,DC Comics,7,1,1,Telekinesis,Kryptonite,0 +Flash,DC Comics,8,10,3,Super Strength,Magic,1 +Captain America,DC Comics,6,7,5,Invisibility,Magic,0 +Thor,DC Comics,9,10,3,Telekinesis,Wooden Stake,0 +Captain America,Marvel,5,9,4,Invisibility,Magic,0 +Captain America,Marvel,3,10,3,Telekinesis,Wooden Stake,0 +Flash,DC Comics,3,9,4,Invisibility,Silver,1 +Thor,Marvel,1,10,1,Flight,Silver,0 +Spider-Man,Marvel,8,3,8,Telekinesis,Kryptonite,0 +Iron Man,Marvel,2,5,4,Invisibility,Silver,0 +Batman,Marvel,3,8,7,Invisibility,Silver,0 +Superman,Marvel,8,8,2,Super Strength,Wooden Stake,1 +Iron Man,DC Comics,8,4,2,Telekinesis,Kryptonite,0 +Batman,Marvel,4,1,6,Invisibility,Magic,1 +Batman,DC Comics,4,1,2,Super Strength,Kryptonite,0 +Superman,Marvel,5,4,6,Invisibility,Silver,1 +Iron Man,DC Comics,6,6,2,Telekinesis,Magic,0 +Superman,DC Comics,5,8,4,Flight,Kryptonite,0 +Captain America,DC Comics,7,6,7,Telekinesis,Kryptonite,0 +Superman,Marvel,2,9,8,Telekinesis,Kryptonite,0 +Flash,Marvel,7,9,3,Invisibility,Kryptonite,0 +Flash,DC Comics,10,2,9,Invisibility,Wooden Stake,1 +Thor,DC Comics,7,10,2,Telekinesis,Kryptonite,0 +Spider-Man,Marvel,1,1,8,Super Strength,Silver,0 +Spider-Man,Marvel,7,2,8,Super Strength,Silver,1 +Spider-Man,DC Comics,5,5,4,Super Strength,Wooden Stake,0 +Iron Man,Marvel,3,4,1,Invisibility,Magic,0 +Flash,Marvel,3,4,1,Invisibility,Magic,0 +Iron Man,Marvel,4,9,2,Telekinesis,Silver,0 +Captain America,Marvel,2,8,9,Flight,Silver,0 +Wonder Woman,Marvel,2,6,2,Invisibility,Wooden Stake,0 +Spider-Man,Marvel,1,1,2,Telekinesis,Magic,0 +Captain America,DC Comics,5,2,6,Telekinesis,Magic,0 +Flash,DC Comics,4,6,7,Flight,Kryptonite,0 +Wonder Woman,DC Comics,10,2,7,Super Strength,Kryptonite,0 +Spider-Man,DC Comics,2,10,9,Telekinesis,Kryptonite,0 +Iron Man,DC Comics,3,5,6,Telekinesis,Wooden Stake,0 +Wonder Woman,DC Comics,7,5,8,Telekinesis,Silver,0 +Thor,Marvel,7,6,6,Super Strength,Wooden Stake,0 +Thor,Marvel,4,6,2,Super Strength,Magic,1 +Thor,DC Comics,5,6,1,Flight,Silver,0 +Superman,DC Comics,5,2,5,Invisibility,Kryptonite,0 +Thor,DC Comics,6,10,9,Super Strength,Wooden Stake,1 +Batman,Marvel,9,3,8,Invisibility,Wooden Stake,0 +Spider-Man,Marvel,2,6,4,Invisibility,Kryptonite,0 +Thor,Marvel,5,8,5,Super Strength,Wooden Stake,0 +Wonder Woman,Marvel,3,1,5,Telekinesis,Kryptonite,0 +Flash,DC Comics,4,1,6,Flight,Magic,0 +Batman,DC Comics,10,2,3,Invisibility,Silver,0 +Batman,DC Comics,6,6,5,Telekinesis,Magic,0 +Batman,DC Comics,8,9,2,Super Strength,Magic,1 +Captain America,Marvel,1,4,10,Invisibility,Kryptonite,0 +Wonder Woman,Marvel,10,3,1,Invisibility,Wooden Stake,0 +Captain America,DC Comics,8,8,1,Invisibility,Magic,0 +Batman,Marvel,7,10,10,Telekinesis,Magic,1 +Superman,Marvel,1,9,7,Telekinesis,Magic,0 +Thor,Marvel,2,5,2,Telekinesis,Wooden Stake,0 +Flash,Marvel,3,9,4,Invisibility,Wooden Stake,0 +Spider-Man,DC Comics,1,2,5,Invisibility,Kryptonite,0 +Wonder Woman,Marvel,9,3,7,Flight,Magic,0 +Superman,DC Comics,8,7,2,Flight,Silver,0 +Iron Man,Marvel,2,7,6,Telekinesis,Wooden Stake,0 +Captain America,Marvel,9,6,1,Telekinesis,Kryptonite,0 +Thor,DC Comics,7,6,7,Super Strength,Magic,1 +Thor,DC Comics,9,2,9,Telekinesis,Silver,1 +Iron Man,Marvel,6,10,5,Flight,Wooden Stake,0 +Iron Man,Marvel,6,6,5,Flight,Silver,0 +Wonder Woman,DC Comics,4,4,4,Flight,Wooden Stake,0 +Thor,Marvel,10,3,3,Invisibility,Kryptonite,0 +Iron Man,Marvel,10,2,9,Invisibility,Silver,0 +Thor,DC Comics,2,1,5,Telekinesis,Magic,0 +Superman,Marvel,7,5,8,Super Strength,Magic,0 +Wonder Woman,Marvel,5,2,9,Super Strength,Wooden Stake,1 +Flash,Marvel,6,2,5,Super Strength,Magic,0 +Iron Man,Marvel,2,7,10,Invisibility,Silver,0 +Superman,Marvel,5,8,9,Flight,Kryptonite,0 +Superman,DC Comics,10,10,2,Flight,Wooden Stake,1 +Iron Man,Marvel,4,8,9,Invisibility,Silver,1 +Wonder Woman,DC Comics,9,4,4,Super Strength,Wooden Stake,1 +Thor,DC Comics,6,1,6,Super Strength,Kryptonite,0 +Flash,Marvel,2,7,6,Telekinesis,Wooden Stake,0 +Batman,DC Comics,1,1,6,Telekinesis,Magic,0 +Thor,Marvel,5,4,2,Super Strength,Magic,1 +Spider-Man,DC Comics,9,8,7,Invisibility,Wooden Stake,1 +Iron Man,DC Comics,6,2,6,Super Strength,Kryptonite,0 +Captain America,DC Comics,10,6,1,Telekinesis,Kryptonite,0 +Wonder Woman,Marvel,7,6,2,Super Strength,Magic,0 +Iron Man,DC Comics,5,9,7,Invisibility,Kryptonite,0 +Spider-Man,DC Comics,10,5,1,Flight,Wooden Stake,1 +Superman,DC Comics,6,10,1,Invisibility,Silver,0 +Captain America,Marvel,5,4,1,Invisibility,Wooden Stake,0 +Captain America,Marvel,9,5,8,Telekinesis,Magic,1 +Thor,DC Comics,6,10,4,Invisibility,Magic,0 +Batman,DC Comics,8,5,4,Invisibility,Magic,0 +Thor,DC Comics,2,8,2,Telekinesis,Kryptonite,0 +Wonder Woman,DC Comics,9,10,1,Telekinesis,Wooden Stake,0 +Captain America,Marvel,5,8,10,Flight,Silver,1 +Flash,Marvel,7,2,9,Super Strength,Wooden Stake,0 +Flash,Marvel,10,7,7,Invisibility,Silver,1 +Captain America,DC Comics,1,8,4,Telekinesis,Wooden Stake,0 +Flash,Marvel,10,6,6,Flight,Magic,1 +Flash,DC Comics,5,5,2,Super Strength,Silver,0 +Batman,DC Comics,10,9,7,Telekinesis,Wooden Stake,0 +Wonder Woman,DC Comics,2,3,2,Super Strength,Kryptonite,0 +Iron Man,Marvel,6,10,10,Super Strength,Kryptonite,1 +Batman,DC Comics,1,4,8,Invisibility,Wooden Stake,0 +Superman,Marvel,3,9,8,Invisibility,Magic,0 +Thor,DC Comics,5,6,1,Telekinesis,Silver,0 +Flash,Marvel,4,8,8,Super Strength,Wooden Stake,1 +Iron Man,DC Comics,3,7,2,Telekinesis,Kryptonite,0 +Thor,Marvel,10,2,6,Telekinesis,Silver,0 +Flash,DC Comics,5,3,1,Super Strength,Kryptonite,0 +Batman,Marvel,8,1,5,Telekinesis,Kryptonite,0 +Iron Man,DC Comics,4,9,7,Super Strength,Wooden Stake,0 +Batman,DC Comics,1,7,10,Super Strength,Kryptonite,1 +Superman,DC Comics,7,1,1,Super Strength,Silver,0 +Spider-Man,Marvel,8,3,2,Super Strength,Magic,0 +Captain America,DC Comics,3,4,7,Flight,Wooden Stake,0 +Wonder Woman,DC Comics,6,4,6,Super Strength,Silver,0 +Iron Man,DC Comics,2,5,3,Invisibility,Wooden Stake,0 +Captain America,Marvel,7,3,10,Invisibility,Kryptonite,0 +Spider-Man,DC Comics,8,3,2,Invisibility,Kryptonite,0 +Iron Man,DC Comics,6,1,10,Super Strength,Silver,1 +Captain America,Marvel,6,7,4,Invisibility,Silver,1 +Captain America,DC Comics,5,10,3,Flight,Magic,0 +Iron Man,Marvel,8,1,7,Telekinesis,Silver,0 +Captain America,DC Comics,1,2,8,Super Strength,Silver,0 +Captain America,Marvel,10,4,2,Invisibility,Wooden Stake,0 +Iron Man,Marvel,4,4,10,Flight,Kryptonite,0 +Wonder Woman,Marvel,4,5,7,Telekinesis,Silver,1 +Captain America,DC Comics,3,2,8,Flight,Magic,0 +Captain America,DC Comics,3,4,6,Invisibility,Silver,0 +Wonder Woman,Marvel,4,1,6,Flight,Kryptonite,0 +Thor,DC Comics,1,2,10,Telekinesis,Silver,0 +Superman,DC Comics,2,1,1,Invisibility,Wooden Stake,0 +Thor,Marvel,9,10,4,Telekinesis,Kryptonite,0 +Flash,Marvel,10,10,1,Flight,Silver,0 +Spider-Man,Marvel,2,4,4,Super Strength,Wooden Stake,0 +Thor,Marvel,5,4,2,Super Strength,Kryptonite,0 +Thor,DC Comics,9,7,5,Super Strength,Silver,1 +Spider-Man,DC Comics,9,10,10,Super Strength,Wooden Stake,1 +Captain America,DC Comics,8,9,9,Telekinesis,Magic,0 +Captain America,DC Comics,1,9,10,Super Strength,Wooden Stake,1 +Thor,DC Comics,1,5,3,Telekinesis,Magic,0 +Spider-Man,DC Comics,9,10,8,Invisibility,Silver,1 +Captain America,Marvel,8,1,3,Super Strength,Wooden Stake,1 +Batman,DC Comics,10,1,6,Telekinesis,Magic,1 +Iron Man,DC Comics,9,6,4,Super Strength,Kryptonite,0 +Iron Man,DC Comics,7,2,8,Super Strength,Wooden Stake,0 +Superman,Marvel,3,8,6,Super Strength,Silver,1 +Iron Man,Marvel,3,9,8,Telekinesis,Kryptonite,0 +Thor,DC Comics,2,4,1,Flight,Magic,0 +Iron Man,Marvel,5,5,6,Super Strength,Wooden Stake,0 +Iron Man,Marvel,3,8,1,Super Strength,Wooden Stake,0 +Batman,DC Comics,6,3,1,Invisibility,Silver,0 +Captain America,DC Comics,2,5,8,Flight,Kryptonite,0 +Batman,DC Comics,3,3,7,Telekinesis,Wooden Stake,0 +Thor,Marvel,5,10,3,Invisibility,Wooden Stake,1 +Iron Man,Marvel,1,3,6,Super Strength,Kryptonite,0 +Wonder Woman,DC Comics,1,3,9,Invisibility,Wooden Stake,1 +Captain America,Marvel,10,7,7,Invisibility,Kryptonite,0 +Superman,Marvel,9,7,3,Super Strength,Kryptonite,1 +Superman,Marvel,7,7,6,Flight,Kryptonite,0 +Flash,DC Comics,1,10,4,Flight,Silver,0 +Flash,DC Comics,8,8,3,Invisibility,Kryptonite,0 +Iron Man,DC Comics,3,5,9,Super Strength,Kryptonite,0 +Iron Man,DC Comics,8,5,10,Telekinesis,Magic,1 +Superman,DC Comics,5,4,2,Invisibility,Magic,0 +Superman,Marvel,1,7,1,Telekinesis,Silver,0 +Wonder Woman,Marvel,7,10,2,Invisibility,Kryptonite,0 +Thor,Marvel,5,4,7,Invisibility,Magic,0 +Iron Man,Marvel,6,2,10,Super Strength,Magic,0 +Superman,Marvel,6,4,1,Super Strength,Wooden Stake,0 +Wonder Woman,Marvel,8,8,6,Telekinesis,Kryptonite,0 +Spider-Man,DC Comics,9,9,7,Telekinesis,Magic,1 +Superman,DC Comics,2,3,9,Flight,Silver,0 +Captain America,Marvel,9,7,8,Super Strength,Wooden Stake,1 +Captain America,DC Comics,10,9,6,Invisibility,Wooden Stake,1 +Spider-Man,Marvel,9,4,3,Invisibility,Kryptonite,0 +Flash,Marvel,10,10,8,Flight,Kryptonite,1 +Thor,DC Comics,10,3,7,Super Strength,Wooden Stake,1 +Flash,DC Comics,7,5,3,Invisibility,Silver,0 +Iron Man,Marvel,1,1,9,Flight,Kryptonite,0 +Flash,DC Comics,7,3,2,Flight,Kryptonite,0 +Iron Man,Marvel,10,8,3,Invisibility,Wooden Stake,1 +Superman,Marvel,5,8,2,Invisibility,Wooden Stake,1 +Captain America,Marvel,6,4,1,Telekinesis,Kryptonite,0 +Thor,Marvel,10,2,4,Super Strength,Magic,1 +Thor,Marvel,7,8,5,Telekinesis,Kryptonite,0 +Thor,DC Comics,5,8,6,Flight,Magic,0 +Superman,Marvel,7,10,5,Invisibility,Wooden Stake,0 +Iron Man,DC Comics,9,4,1,Telekinesis,Magic,0 +Thor,Marvel,3,3,3,Flight,Silver,0 +Superman,DC Comics,8,2,1,Super Strength,Wooden Stake,0 +Superman,Marvel,2,9,5,Invisibility,Kryptonite,0 +Spider-Man,DC Comics,7,1,5,Telekinesis,Kryptonite,0 +Batman,Marvel,2,7,6,Super Strength,Wooden Stake,0 +Flash,Marvel,4,5,8,Telekinesis,Wooden Stake,0 +Thor,DC Comics,7,8,10,Flight,Silver,1 +Batman,DC Comics,3,4,1,Super Strength,Wooden Stake,0 +Iron Man,DC Comics,2,7,4,Telekinesis,Kryptonite,0 +Superman,DC Comics,10,5,10,Super Strength,Silver,1 +Wonder Woman,DC Comics,7,5,1,Flight,Kryptonite,0 +Flash,DC Comics,1,9,9,Super Strength,Magic,0 +Flash,Marvel,8,9,7,Telekinesis,Wooden Stake,0 +Thor,Marvel,3,9,7,Flight,Magic,0 +Wonder Woman,Marvel,2,6,5,Invisibility,Kryptonite,0 +Captain America,DC Comics,3,6,7,Telekinesis,Magic,0 +Iron Man,DC Comics,5,5,2,Telekinesis,Magic,0 +Spider-Man,DC Comics,8,9,4,Flight,Kryptonite,0 +Spider-Man,Marvel,10,10,7,Flight,Kryptonite,0 +Batman,DC Comics,7,8,3,Invisibility,Wooden Stake,0 +Superman,Marvel,7,7,2,Telekinesis,Magic,0 +Batman,DC Comics,7,7,10,Flight,Silver,0 +Captain America,DC Comics,8,6,2,Invisibility,Silver,1 +Captain America,DC Comics,1,5,1,Invisibility,Kryptonite,0 +Flash,Marvel,4,4,5,Flight,Kryptonite,0 +Spider-Man,DC Comics,6,3,6,Telekinesis,Magic,1 +Wonder Woman,Marvel,9,3,6,Super Strength,Kryptonite,0 +Thor,DC Comics,2,6,9,Super Strength,Silver,1 +Spider-Man,DC Comics,1,4,4,Invisibility,Wooden Stake,0 +Spider-Man,DC Comics,10,6,1,Super Strength,Wooden Stake,0 +Wonder Woman,DC Comics,2,3,6,Super Strength,Magic,0 +Flash,Marvel,7,4,5,Flight,Wooden Stake,0 +Flash,DC Comics,3,9,10,Invisibility,Kryptonite,1 +Wonder Woman,Marvel,10,5,6,Telekinesis,Kryptonite,0 +Captain America,DC Comics,2,7,3,Invisibility,Kryptonite,0 +Wonder Woman,DC Comics,7,10,2,Flight,Kryptonite,0 +Batman,DC Comics,2,2,6,Super Strength,Magic,0 +Captain America,Marvel,3,5,1,Telekinesis,Wooden Stake,0 +Wonder Woman,DC Comics,7,9,7,Invisibility,Silver,0 +Superman,Marvel,4,3,7,Super Strength,Wooden Stake,0 +Captain America,Marvel,1,9,10,Invisibility,Kryptonite,0 +Captain America,DC Comics,5,6,7,Telekinesis,Silver,1 +Spider-Man,Marvel,9,4,10,Invisibility,Magic,0 +Thor,DC Comics,8,7,1,Invisibility,Kryptonite,0 +Spider-Man,Marvel,9,8,4,Invisibility,Kryptonite,1 +Iron Man,Marvel,10,6,7,Super Strength,Silver,1 +Captain America,Marvel,9,5,9,Telekinesis,Magic,0 +Wonder Woman,Marvel,7,6,5,Telekinesis,Silver,0 +Wonder Woman,DC Comics,4,5,2,Super Strength,Magic,0 +Wonder Woman,Marvel,5,8,7,Super Strength,Kryptonite,0 +Captain America,DC Comics,1,1,10,Super Strength,Wooden Stake,0 +Wonder Woman,Marvel,1,7,1,Flight,Kryptonite,0 +Iron Man,DC Comics,3,10,7,Invisibility,Wooden Stake,1 +Captain America,DC Comics,8,10,6,Invisibility,Wooden Stake,1 +Wonder Woman,Marvel,2,2,7,Telekinesis,Magic,0 +Captain America,Marvel,4,9,10,Invisibility,Silver,1 +Superman,DC Comics,2,1,3,Flight,Magic,0 +Captain America,Marvel,5,10,3,Super Strength,Kryptonite,0 +Iron Man,Marvel,9,6,7,Telekinesis,Silver,0 +Spider-Man,Marvel,1,9,2,Telekinesis,Wooden Stake,0 +Captain America,Marvel,5,1,1,Invisibility,Wooden Stake,0 +Thor,Marvel,9,4,9,Telekinesis,Kryptonite,1 +Iron Man,Marvel,1,4,9,Super Strength,Silver,0 +Batman,Marvel,9,9,7,Telekinesis,Kryptonite,0 +Superman,Marvel,8,5,7,Super Strength,Kryptonite,0 +Iron Man,Marvel,4,5,3,Flight,Magic,0 +Spider-Man,DC Comics,10,6,10,Flight,Kryptonite,0 +Wonder Woman,Marvel,5,1,2,Super Strength,Silver,1 +Wonder Woman,Marvel,5,1,7,Invisibility,Kryptonite,0 +Iron Man,Marvel,6,9,9,Telekinesis,Silver,0 +Batman,Marvel,7,3,1,Invisibility,Wooden Stake,0 +Wonder Woman,Marvel,8,4,4,Telekinesis,Kryptonite,0 +Superman,DC Comics,8,1,6,Flight,Silver,0 +Thor,DC Comics,2,9,7,Flight,Wooden Stake,0 +Batman,Marvel,9,8,10,Flight,Silver,1 +Flash,DC Comics,7,2,7,Telekinesis,Wooden Stake,0 +Flash,Marvel,4,8,10,Flight,Magic,0 +Iron Man,Marvel,4,7,2,Flight,Kryptonite,0 +Batman,DC Comics,8,6,4,Flight,Kryptonite,0 +Wonder Woman,DC Comics,4,1,5,Flight,Wooden Stake,0 +Wonder Woman,DC Comics,6,7,1,Invisibility,Magic,1 +Iron Man,DC Comics,5,10,1,Flight,Silver,0 +Wonder Woman,DC Comics,3,7,10,Flight,Magic,0 +Wonder Woman,Marvel,10,9,3,Invisibility,Silver,1 +Thor,Marvel,2,1,10,Invisibility,Silver,0 +Thor,Marvel,9,2,3,Telekinesis,Kryptonite,0 +Spider-Man,DC Comics,10,9,8,Super Strength,Wooden Stake,1 +Thor,Marvel,9,9,9,Flight,Kryptonite,0 +Captain America,DC Comics,1,6,1,Flight,Kryptonite,0 +Batman,Marvel,10,6,2,Flight,Kryptonite,0 +Batman,DC Comics,3,4,10,Telekinesis,Silver,0 +Iron Man,DC Comics,8,4,2,Flight,Kryptonite,0 +Thor,Marvel,6,5,4,Super Strength,Silver,1 +Spider-Man,Marvel,5,3,2,Invisibility,Wooden Stake,0 +Wonder Woman,Marvel,5,1,7,Telekinesis,Silver,0 +Spider-Man,Marvel,6,1,9,Invisibility,Silver,0 +Spider-Man,DC Comics,7,7,7,Flight,Magic,1 +Superman,Marvel,1,1,6,Flight,Kryptonite,0 +Wonder Woman,DC Comics,9,1,10,Flight,Kryptonite,0 +Captain America,Marvel,3,3,1,Super Strength,Kryptonite,0 +Thor,Marvel,4,10,10,Super Strength,Kryptonite,1 +Wonder Woman,Marvel,10,4,9,Telekinesis,Magic,1 +Spider-Man,Marvel,1,4,5,Invisibility,Magic,0 +Wonder Woman,Marvel,10,2,5,Flight,Magic,0 +Captain America,DC Comics,3,1,6,Flight,Magic,0 +Batman,Marvel,2,3,9,Flight,Kryptonite,0 +Iron Man,DC Comics,2,4,8,Flight,Silver,0 +Thor,Marvel,1,3,8,Super Strength,Wooden Stake,0 +Thor,DC Comics,8,8,8,Invisibility,Magic,0 +Superman,Marvel,3,10,1,Invisibility,Silver,0 +Batman,Marvel,3,1,1,Telekinesis,Magic,0 +Thor,Marvel,6,2,8,Super Strength,Kryptonite,0 +Superman,DC Comics,8,7,5,Flight,Kryptonite,1 +Superman,DC Comics,9,4,9,Invisibility,Silver,1 +Superman,Marvel,9,8,2,Invisibility,Silver,1 +Flash,Marvel,4,3,9,Super Strength,Silver,1 +Thor,Marvel,5,6,8,Telekinesis,Kryptonite,0 +Thor,DC Comics,2,9,9,Telekinesis,Kryptonite,0 +Thor,Marvel,9,1,4,Flight,Wooden Stake,0 +Captain America,DC Comics,8,1,1,Telekinesis,Silver,0 +Superman,Marvel,3,8,1,Invisibility,Wooden Stake,0 +Captain America,DC Comics,9,3,5,Telekinesis,Magic,1 +Iron Man,DC Comics,3,5,2,Flight,Wooden Stake,0 +Thor,DC Comics,9,1,8,Invisibility,Magic,1 +Flash,Marvel,2,5,10,Telekinesis,Magic,0 +Wonder Woman,DC Comics,10,6,5,Telekinesis,Wooden Stake,1 +Batman,Marvel,9,8,5,Super Strength,Silver,1 +Flash,DC Comics,8,3,2,Flight,Magic,0 +Spider-Man,Marvel,9,3,7,Telekinesis,Silver,0 +Iron Man,DC Comics,5,10,8,Super Strength,Kryptonite,0 +Wonder Woman,DC Comics,2,9,10,Invisibility,Magic,1 +Spider-Man,Marvel,8,4,1,Super Strength,Kryptonite,0 +Spider-Man,Marvel,6,4,2,Super Strength,Wooden Stake,1 +Thor,DC Comics,8,7,10,Telekinesis,Silver,1 +Batman,DC Comics,5,2,4,Telekinesis,Wooden Stake,0 +Spider-Man,Marvel,10,8,5,Telekinesis,Magic,1 +Superman,DC Comics,2,6,2,Super Strength,Kryptonite,0 +Wonder Woman,DC Comics,6,3,1,Invisibility,Magic,0 +Flash,Marvel,5,9,9,Flight,Wooden Stake,0 +Flash,Marvel,5,5,1,Super Strength,Silver,0 +Spider-Man,Marvel,1,8,4,Telekinesis,Silver,0 +Iron Man,DC Comics,2,7,2,Flight,Magic,0 +Batman,DC Comics,8,8,4,Invisibility,Magic,0 +Batman,DC Comics,3,7,8,Flight,Kryptonite,0 +Flash,Marvel,10,3,8,Telekinesis,Wooden Stake,0 +Spider-Man,DC Comics,3,2,9,Super Strength,Magic,0 +Batman,Marvel,8,7,5,Super Strength,Kryptonite,0 +Iron Man,Marvel,8,3,7,Telekinesis,Magic,0 +Flash,DC Comics,2,3,3,Super Strength,Silver,0 +Wonder Woman,Marvel,8,2,10,Telekinesis,Kryptonite,0 +Iron Man,DC Comics,1,4,4,Super Strength,Kryptonite,0 +Iron Man,Marvel,6,8,10,Super Strength,Magic,1 +Superman,Marvel,8,1,9,Super Strength,Wooden Stake,1 +Thor,Marvel,3,1,10,Invisibility,Silver,0 +Spider-Man,DC Comics,8,5,10,Invisibility,Wooden Stake,1 +Wonder Woman,Marvel,1,5,1,Telekinesis,Kryptonite,0 +Flash,DC Comics,9,1,2,Invisibility,Wooden Stake,0 +Batman,Marvel,9,6,5,Telekinesis,Kryptonite,0 +Iron Man,Marvel,5,1,3,Flight,Wooden Stake,0 +Flash,Marvel,10,5,2,Flight,Magic,1 +Spider-Man,DC Comics,4,9,1,Invisibility,Wooden Stake,0 +Wonder Woman,DC Comics,6,5,10,Flight,Kryptonite,0 +Wonder Woman,DC Comics,7,6,3,Flight,Silver,1 +Spider-Man,DC Comics,5,8,1,Super Strength,Silver,0 +Thor,DC Comics,10,1,1,Super Strength,Silver,0 +Superman,Marvel,9,2,1,Telekinesis,Kryptonite,0 +Batman,Marvel,3,9,8,Flight,Wooden Stake,1 +Superman,DC Comics,7,3,3,Telekinesis,Silver,0 +Wonder Woman,DC Comics,10,6,1,Telekinesis,Silver,0 +Batman,DC Comics,10,5,7,Flight,Silver,1 +Wonder Woman,DC Comics,5,2,10,Invisibility,Magic,1 +Iron Man,Marvel,7,7,3,Flight,Kryptonite,0 +Iron Man,DC Comics,2,4,8,Super Strength,Kryptonite,0 +Spider-Man,DC Comics,4,1,4,Flight,Kryptonite,0 +Batman,DC Comics,2,4,4,Invisibility,Kryptonite,0 +Batman,DC Comics,7,6,5,Telekinesis,Kryptonite,0 +Wonder Woman,Marvel,2,7,6,Telekinesis,Magic,0 +Superman,Marvel,1,7,7,Super Strength,Wooden Stake,0 +Iron Man,DC Comics,9,7,4,Super Strength,Magic,1 +Captain America,Marvel,1,3,8,Super Strength,Silver,0 +Spider-Man,Marvel,8,6,6,Telekinesis,Magic,0 +Flash,DC Comics,2,8,1,Super Strength,Kryptonite,0 +Batman,DC Comics,8,4,1,Flight,Magic,0 +Thor,Marvel,3,8,9,Telekinesis,Kryptonite,0 +Thor,Marvel,6,2,10,Invisibility,Magic,0 +Captain America,Marvel,3,10,6,Telekinesis,Kryptonite,0 +Iron Man,Marvel,7,9,10,Flight,Silver,1 +Iron Man,Marvel,10,9,8,Flight,Kryptonite,0 +Iron Man,DC Comics,9,8,7,Super Strength,Magic,1 +Superman,Marvel,2,10,6,Telekinesis,Silver,0 +Wonder Woman,Marvel,5,10,4,Telekinesis,Magic,1 +Thor,Marvel,6,1,7,Telekinesis,Silver,0 +Iron Man,Marvel,4,2,9,Invisibility,Wooden Stake,0 +Thor,Marvel,4,6,10,Super Strength,Wooden Stake,0 +Captain America,Marvel,4,10,10,Flight,Wooden Stake,0 +Spider-Man,Marvel,2,5,7,Flight,Magic,0 +Wonder Woman,Marvel,4,9,1,Super Strength,Magic,1 +Superman,DC Comics,1,5,10,Flight,Silver,1 +Batman,DC Comics,6,2,9,Flight,Silver,0 +Captain America,Marvel,1,10,4,Super Strength,Silver,0 +Wonder Woman,DC Comics,10,4,3,Flight,Silver,0 +Thor,DC Comics,6,9,4,Telekinesis,Kryptonite,0 +Captain America,DC Comics,1,1,4,Invisibility,Wooden Stake,0 +Batman,DC Comics,6,1,10,Super Strength,Kryptonite,1 +Wonder Woman,DC Comics,10,7,2,Invisibility,Kryptonite,0 +Superman,DC Comics,8,3,1,Flight,Kryptonite,0 +Flash,Marvel,2,10,10,Flight,Kryptonite,0 +Spider-Man,Marvel,2,2,1,Telekinesis,Wooden Stake,0 +Batman,DC Comics,4,9,8,Super Strength,Kryptonite,1 +Wonder Woman,Marvel,3,3,2,Flight,Silver,0 +Superman,DC Comics,4,2,10,Super Strength,Magic,1 +Thor,Marvel,7,8,5,Super Strength,Silver,1 +Batman,Marvel,1,10,4,Super Strength,Magic,0 +Flash,Marvel,6,6,8,Super Strength,Silver,1 +Captain America,DC Comics,3,6,2,Super Strength,Silver,0 +Iron Man,Marvel,10,10,10,Invisibility,Magic,1 +Captain America,Marvel,7,7,9,Telekinesis,Wooden Stake,1 +Thor,DC Comics,10,7,7,Super Strength,Kryptonite,1 +Wonder Woman,DC Comics,2,6,7,Invisibility,Silver,0 +Flash,Marvel,2,4,1,Flight,Wooden Stake,0 +Spider-Man,DC Comics,4,9,2,Super Strength,Kryptonite,0 +Batman,Marvel,1,6,4,Flight,Wooden Stake,0 +Wonder Woman,Marvel,3,4,4,Super Strength,Wooden Stake,0 +Spider-Man,DC Comics,9,3,3,Invisibility,Kryptonite,0 +Thor,DC Comics,7,4,7,Invisibility,Silver,0 +Batman,Marvel,7,3,8,Invisibility,Wooden Stake,1 +Superman,DC Comics,4,2,2,Telekinesis,Silver,0 +Superman,Marvel,2,5,4,Flight,Silver,0 +Wonder Woman,DC Comics,4,2,3,Telekinesis,Silver,0 +Captain America,DC Comics,6,6,2,Super Strength,Kryptonite,0 +Wonder Woman,DC Comics,3,3,6,Flight,Magic,0 +Captain America,DC Comics,1,6,4,Invisibility,Silver,0 +Flash,DC Comics,8,10,6,Flight,Magic,1 +Thor,Marvel,5,9,2,Invisibility,Magic,0 +Superman,Marvel,5,1,4,Telekinesis,Wooden Stake,0 +Flash,Marvel,4,6,6,Telekinesis,Silver,0 +Batman,DC Comics,6,9,5,Invisibility,Silver,1 +Superman,Marvel,3,4,3,Invisibility,Silver,0 +Captain America,Marvel,9,2,8,Super Strength,Magic,1 +Wonder Woman,DC Comics,5,4,7,Telekinesis,Kryptonite,0 +Thor,DC Comics,3,1,3,Telekinesis,Magic,0 +Superman,DC Comics,1,3,6,Super Strength,Silver,1 +Flash,Marvel,10,10,4,Telekinesis,Silver,1 +Thor,Marvel,6,9,5,Invisibility,Silver,0 +Flash,DC Comics,2,10,5,Flight,Magic,1 +Superman,Marvel,3,5,7,Flight,Silver,0 +Wonder Woman,Marvel,1,6,5,Telekinesis,Wooden Stake,0 +Spider-Man,DC Comics,9,3,3,Super Strength,Silver,1 +Wonder Woman,Marvel,8,5,10,Invisibility,Kryptonite,0 +Superman,DC Comics,2,8,5,Flight,Wooden Stake,0 +Captain America,Marvel,8,6,7,Invisibility,Silver,0 +Wonder Woman,DC Comics,9,4,5,Telekinesis,Wooden Stake,0 +Batman,Marvel,1,2,5,Telekinesis,Silver,0 +Captain America,Marvel,5,9,9,Flight,Kryptonite,0 +Captain America,DC Comics,8,1,3,Telekinesis,Silver,0 +Captain America,DC Comics,2,1,6,Super Strength,Wooden Stake,1 +Thor,DC Comics,4,4,1,Telekinesis,Kryptonite,0 +Iron Man,DC Comics,7,7,10,Telekinesis,Magic,1 +Iron Man,Marvel,3,1,5,Telekinesis,Kryptonite,0 +Spider-Man,DC Comics,5,9,8,Invisibility,Kryptonite,0 +Flash,DC Comics,8,4,5,Invisibility,Kryptonite,0 +Flash,DC Comics,10,3,9,Flight,Wooden Stake,1 +Captain America,DC Comics,3,1,6,Flight,Kryptonite,0 +Iron Man,DC Comics,4,10,8,Flight,Silver,1 +Spider-Man,Marvel,9,4,10,Telekinesis,Kryptonite,1 +Thor,DC Comics,7,9,8,Invisibility,Kryptonite,0 +Captain America,DC Comics,1,10,3,Super Strength,Silver,0 +Batman,DC Comics,4,6,7,Telekinesis,Silver,1 +Thor,Marvel,4,6,7,Telekinesis,Magic,0 +Spider-Man,Marvel,9,1,10,Telekinesis,Kryptonite,0 +Thor,Marvel,6,10,6,Super Strength,Wooden Stake,1 +Batman,DC Comics,9,2,7,Flight,Kryptonite,0 +Flash,DC Comics,6,6,2,Super Strength,Kryptonite,0 +Thor,Marvel,6,2,9,Flight,Silver,1 +Spider-Man,Marvel,5,3,10,Super Strength,Magic,1 +Flash,DC Comics,5,4,10,Invisibility,Kryptonite,0 +Flash,DC Comics,2,5,1,Telekinesis,Wooden Stake,0 +Flash,DC Comics,8,9,1,Telekinesis,Kryptonite,0 +Batman,Marvel,8,4,3,Telekinesis,Wooden Stake,1 +Batman,DC Comics,1,9,3,Flight,Silver,0 +Flash,DC Comics,8,10,1,Super Strength,Magic,1 +Thor,Marvel,5,3,7,Invisibility,Kryptonite,0 +Batman,Marvel,2,8,4,Super Strength,Magic,0 +Wonder Woman,Marvel,2,1,10,Telekinesis,Kryptonite,0 +Thor,DC Comics,6,9,2,Invisibility,Wooden Stake,0 +Captain America,Marvel,9,9,10,Invisibility,Magic,1 +Batman,Marvel,1,10,5,Telekinesis,Kryptonite,0 +Thor,DC Comics,6,2,6,Super Strength,Silver,1 +Captain America,DC Comics,9,4,9,Telekinesis,Wooden Stake,1 +Batman,Marvel,8,8,4,Super Strength,Magic,1 +Captain America,DC Comics,6,7,2,Invisibility,Kryptonite,0 +Superman,Marvel,3,1,5,Invisibility,Magic,0 +Batman,DC Comics,8,5,3,Telekinesis,Kryptonite,0 +Superman,DC Comics,9,7,2,Invisibility,Wooden Stake,0 +Spider-Man,Marvel,1,4,1,Flight,Silver,0 +Spider-Man,Marvel,9,1,10,Invisibility,Wooden Stake,1 +Thor,Marvel,6,9,2,Flight,Magic,0 +Iron Man,DC Comics,6,5,6,Invisibility,Magic,1 +Superman,Marvel,4,2,8,Telekinesis,Kryptonite,0 +Superman,DC Comics,1,8,3,Telekinesis,Wooden Stake,0 +Spider-Man,DC Comics,10,2,9,Flight,Kryptonite,0 +Superman,Marvel,8,3,9,Telekinesis,Wooden Stake,0 +Iron Man,DC Comics,2,10,2,Invisibility,Magic,0 +Flash,DC Comics,1,1,8,Invisibility,Kryptonite,0 +Captain America,Marvel,2,2,10,Telekinesis,Kryptonite,0 +Captain America,DC Comics,1,7,5,Invisibility,Wooden Stake,0 +Iron Man,DC Comics,1,10,4,Super Strength,Silver,0 +Superman,Marvel,9,2,10,Super Strength,Wooden Stake,1 +Superman,Marvel,1,6,5,Invisibility,Silver,1 +Superman,DC Comics,4,3,4,Telekinesis,Wooden Stake,0 +Wonder Woman,DC Comics,10,4,8,Flight,Magic,1 +Thor,DC Comics,6,8,4,Telekinesis,Kryptonite,0 +Batman,DC Comics,7,3,10,Flight,Wooden Stake,1 +Iron Man,Marvel,2,10,6,Telekinesis,Magic,0 +Iron Man,DC Comics,6,6,2,Invisibility,Wooden Stake,0 +Wonder Woman,DC Comics,7,1,5,Super Strength,Kryptonite,0 +Iron Man,DC Comics,10,7,6,Telekinesis,Wooden Stake,1 +Flash,DC Comics,10,8,5,Flight,Silver,1 +Flash,Marvel,2,8,2,Super Strength,Kryptonite,0 +Iron Man,DC Comics,2,3,7,Flight,Silver,0 +Wonder Woman,Marvel,10,10,4,Invisibility,Magic,1 +Iron Man,Marvel,7,1,8,Super Strength,Magic,0 +Superman,Marvel,1,9,7,Flight,Wooden Stake,0 +Wonder Woman,Marvel,8,6,7,Telekinesis,Silver,0 +Thor,Marvel,3,9,9,Invisibility,Silver,1 +Spider-Man,DC Comics,6,7,1,Invisibility,Kryptonite,0 +Superman,Marvel,9,1,10,Invisibility,Silver,0 +Flash,Marvel,6,1,6,Telekinesis,Silver,0 +Superman,Marvel,9,6,6,Telekinesis,Kryptonite,0 +Batman,DC Comics,7,5,6,Super Strength,Kryptonite,0 +Wonder Woman,Marvel,9,9,6,Telekinesis,Silver,1 +Flash,DC Comics,2,2,10,Super Strength,Wooden Stake,0 +Spider-Man,Marvel,8,8,7,Invisibility,Kryptonite,0 +Iron Man,Marvel,8,5,10,Super Strength,Kryptonite,0 +Spider-Man,DC Comics,2,2,6,Flight,Silver,0 +Thor,DC Comics,4,10,1,Invisibility,Silver,0 +Captain America,DC Comics,7,6,3,Invisibility,Kryptonite,0 +Superman,Marvel,4,10,2,Super Strength,Silver,0 +Wonder Woman,DC Comics,4,8,6,Invisibility,Kryptonite,0 +Wonder Woman,DC Comics,6,4,8,Telekinesis,Wooden Stake,0 +Spider-Man,DC Comics,10,2,3,Flight,Wooden Stake,0 +Batman,DC Comics,6,5,10,Super Strength,Kryptonite,0 +Flash,DC Comics,10,2,8,Super Strength,Kryptonite,1 +Thor,Marvel,3,2,8,Invisibility,Magic,0 +Captain America,DC Comics,9,6,5,Telekinesis,Magic,0 +Thor,Marvel,10,10,8,Invisibility,Silver,1 +Wonder Woman,DC Comics,2,9,6,Invisibility,Silver,0 +Iron Man,DC Comics,6,4,5,Super Strength,Kryptonite,0 +Captain America,Marvel,7,6,9,Invisibility,Kryptonite,0 +Flash,Marvel,9,7,7,Flight,Magic,1 +Flash,Marvel,3,6,8,Invisibility,Magic,0 +Wonder Woman,Marvel,10,8,1,Invisibility,Kryptonite,0 +Batman,DC Comics,3,4,2,Super Strength,Wooden Stake,0 +Captain America,Marvel,7,1,8,Invisibility,Wooden Stake,0 +Wonder Woman,DC Comics,4,7,9,Telekinesis,Silver,1 +Batman,DC Comics,8,3,4,Super Strength,Kryptonite,0 +Iron Man,DC Comics,7,6,10,Invisibility,Kryptonite,1 +Batman,Marvel,5,2,10,Flight,Silver,0 +Thor,Marvel,7,9,9,Flight,Magic,1 +Spider-Man,Marvel,3,1,4,Super Strength,Magic,0 +Thor,DC Comics,2,6,10,Super Strength,Wooden Stake,1 +Flash,Marvel,6,6,10,Invisibility,Kryptonite,0 +Wonder Woman,Marvel,2,5,10,Telekinesis,Magic,0 +Wonder Woman,DC Comics,3,5,9,Invisibility,Wooden Stake,0 +Superman,Marvel,6,1,7,Flight,Wooden Stake,0 +Thor,DC Comics,5,10,2,Telekinesis,Wooden Stake,0 +Captain America,Marvel,8,5,9,Telekinesis,Magic,1 +Flash,Marvel,9,2,4,Telekinesis,Magic,0 +Iron Man,Marvel,3,7,8,Invisibility,Kryptonite,0 +Flash,Marvel,10,3,7,Flight,Kryptonite,0 +Superman,Marvel,3,4,7,Super Strength,Wooden Stake,1 +Superman,DC Comics,3,3,8,Invisibility,Wooden Stake,0 +Superman,Marvel,6,3,1,Super Strength,Magic,0 +Wonder Woman,Marvel,1,4,5,Telekinesis,Magic,0 +Spider-Man,Marvel,7,5,2,Telekinesis,Kryptonite,0 +Batman,Marvel,1,1,2,Invisibility,Kryptonite,0 +Captain America,Marvel,5,4,1,Flight,Silver,0 +Flash,Marvel,10,8,5,Telekinesis,Kryptonite,0 +Wonder Woman,Marvel,8,10,2,Super Strength,Magic,1 +Flash,DC Comics,4,7,4,Super Strength,Wooden Stake,1 +Iron Man,DC Comics,5,9,3,Invisibility,Silver,1 +Wonder Woman,Marvel,4,5,3,Super Strength,Kryptonite,0 +Spider-Man,DC Comics,4,10,2,Flight,Kryptonite,0 +Flash,Marvel,8,4,6,Telekinesis,Magic,1 +Wonder Woman,DC Comics,2,8,2,Super Strength,Silver,1 +Wonder Woman,Marvel,1,9,8,Super Strength,Kryptonite,0 +Thor,Marvel,3,7,8,Telekinesis,Wooden Stake,0 +Iron Man,DC Comics,9,7,5,Invisibility,Magic,1 +Superman,Marvel,4,5,10,Super Strength,Silver,0 +Iron Man,DC Comics,10,4,7,Invisibility,Kryptonite,0 +Iron Man,Marvel,5,10,4,Invisibility,Kryptonite,0 +Thor,Marvel,2,1,1,Super Strength,Silver,0 +Batman,Marvel,4,10,2,Flight,Magic,0 +Wonder Woman,Marvel,2,10,10,Invisibility,Silver,0 +Captain America,DC Comics,2,7,10,Super Strength,Silver,1 +Superman,Marvel,4,1,4,Invisibility,Magic,0 +Flash,DC Comics,6,1,1,Telekinesis,Kryptonite,0 +Batman,DC Comics,7,5,8,Flight,Wooden Stake,0 +Spider-Man,Marvel,10,9,9,Flight,Magic,1 +Wonder Woman,Marvel,3,6,4,Telekinesis,Wooden Stake,0 +Superman,DC Comics,3,3,10,Telekinesis,Kryptonite,0 +Captain America,DC Comics,10,3,3,Invisibility,Silver,0 +Wonder Woman,Marvel,6,7,2,Telekinesis,Wooden Stake,0 +Spider-Man,DC Comics,3,6,5,Flight,Kryptonite,0 +Thor,DC Comics,2,9,3,Telekinesis,Kryptonite,0 +Batman,DC Comics,8,6,10,Super Strength,Silver,1 +Wonder Woman,Marvel,5,5,7,Super Strength,Silver,0 +Superman,DC Comics,1,10,6,Invisibility,Kryptonite,0 +Iron Man,DC Comics,3,7,1,Flight,Kryptonite,0 +Flash,DC Comics,10,1,8,Super Strength,Wooden Stake,1 +Flash,DC Comics,8,7,2,Telekinesis,Kryptonite,0 +Flash,Marvel,4,3,5,Super Strength,Kryptonite,0 +Captain America,Marvel,7,9,9,Super Strength,Wooden Stake,1 +Wonder Woman,DC Comics,10,6,8,Invisibility,Magic,1 +Flash,DC Comics,2,9,2,Telekinesis,Wooden Stake,0 +Superman,DC Comics,7,5,9,Telekinesis,Wooden Stake,0 +Iron Man,Marvel,5,7,5,Telekinesis,Silver,0 +Superman,Marvel,5,4,10,Invisibility,Wooden Stake,0 +Wonder Woman,DC Comics,6,7,6,Telekinesis,Kryptonite,0 +Spider-Man,DC Comics,9,1,3,Telekinesis,Kryptonite,0 +Iron Man,Marvel,6,7,3,Super Strength,Kryptonite,0 +Iron Man,DC Comics,8,8,10,Super Strength,Magic,1 +Superman,DC Comics,7,5,8,Telekinesis,Kryptonite,0 +Thor,Marvel,9,2,10,Flight,Magic,1 +Wonder Woman,Marvel,4,5,10,Flight,Kryptonite,0 +Flash,Marvel,2,6,2,Telekinesis,Wooden Stake,0 +Thor,Marvel,7,2,2,Flight,Silver,0 +Batman,Marvel,6,6,5,Invisibility,Kryptonite,0 +Flash,DC Comics,1,6,6,Super Strength,Magic,0 +Spider-Man,Marvel,9,1,2,Invisibility,Magic,1 +Thor,Marvel,9,1,5,Super Strength,Silver,1 +Superman,Marvel,2,10,7,Flight,Kryptonite,0 +Wonder Woman,Marvel,3,3,10,Flight,Wooden Stake,0 +Thor,Marvel,5,10,10,Telekinesis,Kryptonite,0 +Batman,Marvel,5,10,8,Flight,Kryptonite,0 +Captain America,DC Comics,1,3,7,Flight,Silver,0 +Batman,Marvel,8,4,8,Telekinesis,Kryptonite,0 +Iron Man,DC Comics,8,2,9,Telekinesis,Wooden Stake,0 +Flash,DC Comics,4,9,5,Super Strength,Magic,1 +Wonder Woman,Marvel,7,10,5,Flight,Silver,0 +Iron Man,Marvel,10,7,10,Super Strength,Wooden Stake,1 +Thor,DC Comics,3,7,4,Super Strength,Magic,1 +Thor,DC Comics,6,6,9,Invisibility,Silver,0 +Batman,DC Comics,10,3,5,Flight,Silver,0 +Batman,Marvel,10,6,2,Flight,Magic,1 +Superman,DC Comics,9,8,10,Invisibility,Magic,1 +Spider-Man,Marvel,1,8,8,Super Strength,Wooden Stake,1 +Superman,Marvel,5,9,7,Flight,Kryptonite,0 +Iron Man,DC Comics,4,1,8,Super Strength,Kryptonite,0 +Superman,Marvel,8,1,3,Invisibility,Kryptonite,0 +Batman,Marvel,1,3,4,Telekinesis,Kryptonite,0 +Wonder Woman,DC Comics,9,3,5,Super Strength,Kryptonite,0 +Superman,DC Comics,6,10,6,Flight,Wooden Stake,0 +Captain America,Marvel,4,8,1,Telekinesis,Silver,0 +Flash,DC Comics,9,10,4,Super Strength,Wooden Stake,1 +Spider-Man,Marvel,5,1,10,Super Strength,Wooden Stake,1 +Batman,DC Comics,5,2,5,Telekinesis,Wooden Stake,0 +Wonder Woman,DC Comics,5,2,7,Telekinesis,Silver,1 +Thor,DC Comics,1,3,5,Telekinesis,Wooden Stake,0 +Flash,DC Comics,1,6,1,Flight,Wooden Stake,0 +Superman,Marvel,8,1,7,Flight,Silver,0 +Batman,DC Comics,8,2,8,Super Strength,Wooden Stake,1 +Thor,Marvel,6,1,7,Super Strength,Kryptonite,0 +Thor,Marvel,4,5,4,Invisibility,Magic,0 +Iron Man,DC Comics,2,7,8,Flight,Wooden Stake,0 +Iron Man,DC Comics,2,8,5,Super Strength,Magic,1 +Wonder Woman,DC Comics,9,10,10,Telekinesis,Wooden Stake,0 +Batman,DC Comics,5,1,9,Telekinesis,Wooden Stake,0 +Flash,DC Comics,4,7,10,Flight,Kryptonite,0 +Wonder Woman,Marvel,10,5,5,Telekinesis,Silver,0 +Batman,DC Comics,1,10,1,Invisibility,Magic,0 +Captain America,Marvel,7,1,9,Super Strength,Silver,1 +Spider-Man,Marvel,3,3,5,Super Strength,Kryptonite,0 +Spider-Man,Marvel,6,7,6,Super Strength,Kryptonite,0 +Flash,Marvel,5,10,4,Flight,Magic,0 +Batman,DC Comics,5,1,6,Telekinesis,Silver,0 +Iron Man,DC Comics,5,7,8,Invisibility,Kryptonite,0 +Flash,Marvel,1,5,3,Flight,Wooden Stake,0 +Superman,Marvel,1,1,5,Super Strength,Wooden Stake,0 +Wonder Woman,DC Comics,3,1,2,Invisibility,Wooden Stake,0 +Captain America,Marvel,10,1,2,Super Strength,Silver,0 +Spider-Man,DC Comics,4,9,7,Super Strength,Wooden Stake,0 +Batman,Marvel,5,3,10,Flight,Wooden Stake,1 +Iron Man,DC Comics,2,5,10,Super Strength,Kryptonite,0 +Iron Man,Marvel,8,10,10,Invisibility,Kryptonite,0 +Iron Man,Marvel,2,9,6,Super Strength,Wooden Stake,0 +Wonder Woman,Marvel,9,6,4,Telekinesis,Wooden Stake,1 +Superman,DC Comics,2,9,5,Super Strength,Kryptonite,0 +Thor,DC Comics,9,8,1,Flight,Magic,0 +Flash,DC Comics,7,8,7,Invisibility,Silver,1 +Wonder Woman,Marvel,8,1,8,Flight,Silver,0 +Superman,Marvel,2,9,9,Telekinesis,Kryptonite,0 +Iron Man,Marvel,7,6,8,Super Strength,Silver,1 +Batman,Marvel,6,9,5,Flight,Kryptonite,0 +Flash,Marvel,4,3,3,Flight,Kryptonite,0 +Captain America,Marvel,7,3,10,Flight,Kryptonite,0 +Superman,DC Comics,4,6,9,Flight,Kryptonite,0 +Batman,DC Comics,2,9,6,Telekinesis,Magic,0 +Wonder Woman,DC Comics,10,7,5,Telekinesis,Wooden Stake,1 +Wonder Woman,Marvel,7,3,3,Super Strength,Wooden Stake,0 +Flash,DC Comics,8,3,6,Super Strength,Magic,0 +Iron Man,Marvel,2,2,3,Invisibility,Silver,0 +Captain America,Marvel,5,9,10,Telekinesis,Silver,0 +Spider-Man,DC Comics,1,3,6,Flight,Wooden Stake,0 +Spider-Man,Marvel,7,5,4,Flight,Silver,1 +Wonder Woman,Marvel,8,9,2,Invisibility,Wooden Stake,1 +Batman,Marvel,6,8,8,Flight,Wooden Stake,1 +Captain America,Marvel,5,2,4,Invisibility,Magic,0 +Batman,Marvel,6,3,9,Super Strength,Silver,1 +Captain America,DC Comics,2,2,7,Telekinesis,Magic,0 +Captain America,DC Comics,1,8,2,Invisibility,Wooden Stake,0 +Wonder Woman,Marvel,7,6,4,Flight,Wooden Stake,0 +Batman,Marvel,7,6,5,Invisibility,Wooden Stake,0 +Wonder Woman,DC Comics,10,9,3,Super Strength,Kryptonite,0 +Flash,DC Comics,10,8,9,Flight,Kryptonite,0 +Captain America,DC Comics,2,4,5,Super Strength,Kryptonite,0 +Superman,Marvel,2,4,2,Super Strength,Magic,0 +Iron Man,DC Comics,1,9,3,Invisibility,Wooden Stake,0 +Flash,DC Comics,10,1,9,Super Strength,Silver,1 +Captain America,Marvel,8,2,7,Flight,Magic,1 +Superman,Marvel,8,2,2,Super Strength,Magic,0 +Captain America,DC Comics,1,6,9,Super Strength,Magic,0 +Superman,Marvel,8,4,4,Invisibility,Silver,0 +Batman,DC Comics,9,10,9,Super Strength,Wooden Stake,1 +Spider-Man,DC Comics,4,3,2,Telekinesis,Kryptonite,0 +Thor,Marvel,1,3,10,Invisibility,Wooden Stake,0 +Flash,Marvel,1,3,4,Invisibility,Wooden Stake,0 +Captain America,DC Comics,3,6,5,Flight,Magic,0 +Thor,Marvel,5,8,2,Flight,Magic,0 +Captain America,Marvel,5,7,10,Flight,Magic,1 +Batman,Marvel,9,4,1,Flight,Kryptonite,0 +Batman,Marvel,10,4,7,Telekinesis,Kryptonite,0 +Superman,Marvel,2,10,10,Invisibility,Kryptonite,0 +Captain America,Marvel,2,2,1,Super Strength,Wooden Stake,0 +Batman,Marvel,6,1,8,Flight,Magic,0 +Batman,DC Comics,9,9,3,Flight,Silver,1 +Captain America,Marvel,1,2,10,Flight,Wooden Stake,0 +Superman,DC Comics,9,8,6,Super Strength,Kryptonite,0 +Superman,Marvel,9,9,7,Flight,Silver,0 +Superman,DC Comics,9,4,10,Super Strength,Silver,1 +Superman,Marvel,5,8,1,Invisibility,Magic,1 +Spider-Man,DC Comics,9,9,6,Invisibility,Silver,1 +Captain America,Marvel,4,10,7,Invisibility,Kryptonite,0 +Wonder Woman,DC Comics,2,10,6,Telekinesis,Magic,0 +Spider-Man,Marvel,6,5,4,Super Strength,Silver,0 +Batman,Marvel,4,7,1,Flight,Magic,0 +Spider-Man,DC Comics,6,10,9,Flight,Silver,0 +Flash,DC Comics,3,4,4,Flight,Wooden Stake,0 +Wonder Woman,Marvel,6,1,7,Flight,Wooden Stake,0 +Wonder Woman,DC Comics,2,3,7,Telekinesis,Kryptonite,0 +Wonder Woman,DC Comics,2,5,2,Flight,Wooden Stake,0 +Superman,Marvel,9,3,1,Telekinesis,Wooden Stake,0 +Batman,DC Comics,7,7,8,Super Strength,Wooden Stake,1 +Spider-Man,Marvel,3,9,8,Invisibility,Silver,0 +Spider-Man,DC Comics,1,6,7,Flight,Silver,0 +Flash,Marvel,8,10,8,Invisibility,Magic,1 +Captain America,DC Comics,6,1,3,Super Strength,Silver,0 +Spider-Man,Marvel,7,7,2,Super Strength,Wooden Stake,0 +Flash,Marvel,9,3,7,Flight,Silver,0 +Batman,DC Comics,5,5,8,Super Strength,Kryptonite,0 +Superman,DC Comics,1,10,1,Invisibility,Magic,0 +Captain America,Marvel,10,4,10,Flight,Magic,1 +Flash,Marvel,7,10,9,Telekinesis,Silver,1 +Spider-Man,DC Comics,5,5,4,Flight,Wooden Stake,0 +Captain America,DC Comics,3,5,4,Invisibility,Magic,0 +Thor,DC Comics,9,6,3,Flight,Kryptonite,0 +Captain America,DC Comics,1,10,6,Flight,Kryptonite,0 +Wonder Woman,DC Comics,1,10,1,Invisibility,Magic,0 +Superman,DC Comics,1,6,6,Flight,Wooden Stake,0 +Wonder Woman,Marvel,3,8,2,Flight,Wooden Stake,0 +Thor,DC Comics,6,8,9,Invisibility,Silver,1 +Wonder Woman,DC Comics,10,9,2,Super Strength,Silver,0 +Thor,DC Comics,3,8,7,Invisibility,Magic,0 +Captain America,DC Comics,8,2,1,Flight,Silver,0 +Batman,Marvel,10,10,7,Telekinesis,Silver,1 +Superman,Marvel,2,1,5,Telekinesis,Silver,0 +Batman,Marvel,9,10,8,Invisibility,Kryptonite,1 +Superman,Marvel,3,2,4,Telekinesis,Silver,0 +Flash,DC Comics,5,2,10,Flight,Magic,0 +Superman,Marvel,10,3,7,Flight,Wooden Stake,0 +Wonder Woman,DC Comics,8,10,6,Invisibility,Silver,0 +Wonder Woman,DC Comics,2,7,5,Flight,Wooden Stake,0 +Batman,Marvel,6,2,4,Super Strength,Silver,1 +Iron Man,Marvel,5,1,7,Flight,Magic,0 +Flash,DC Comics,10,6,5,Invisibility,Kryptonite,1 +Thor,Marvel,9,9,5,Super Strength,Magic,0 +Wonder Woman,Marvel,5,3,1,Super Strength,Kryptonite,0 +Flash,DC Comics,2,6,2,Telekinesis,Silver,0 +Wonder Woman,DC Comics,5,3,5,Flight,Silver,0 +Wonder Woman,DC Comics,4,1,3,Invisibility,Kryptonite,0 +Captain America,DC Comics,7,5,2,Telekinesis,Magic,0 +Batman,DC Comics,6,10,4,Telekinesis,Magic,0 +Batman,Marvel,2,4,4,Flight,Kryptonite,0 +Wonder Woman,DC Comics,5,7,4,Flight,Silver,1 +Captain America,DC Comics,7,6,4,Invisibility,Kryptonite,0 +Wonder Woman,DC Comics,7,10,3,Telekinesis,Silver,0 +Thor,Marvel,5,7,7,Invisibility,Kryptonite,0 +Captain America,DC Comics,9,5,9,Telekinesis,Silver,1 +Wonder Woman,DC Comics,4,4,5,Telekinesis,Kryptonite,0 +Superman,Marvel,3,7,4,Telekinesis,Wooden Stake,0 +Iron Man,DC Comics,4,7,2,Flight,Silver,0 +Superman,DC Comics,5,6,2,Telekinesis,Magic,0 +Iron Man,DC Comics,6,8,5,Telekinesis,Kryptonite,0 +Captain America,Marvel,3,4,7,Telekinesis,Magic,0 +Superman,Marvel,2,10,10,Super Strength,Kryptonite,0 +Thor,DC Comics,4,5,10,Flight,Magic,1 +Flash,DC Comics,5,4,9,Super Strength,Magic,1 +Superman,DC Comics,4,1,7,Flight,Kryptonite,0 +Batman,Marvel,3,8,5,Invisibility,Kryptonite,0 +Flash,Marvel,8,1,10,Super Strength,Magic,0 +Flash,Marvel,10,5,10,Invisibility,Magic,1 +Iron Man,Marvel,4,6,10,Telekinesis,Magic,0 +Iron Man,Marvel,2,6,6,Invisibility,Silver,1 +Wonder Woman,Marvel,2,5,3,Invisibility,Silver,0 +Thor,DC Comics,1,3,5,Invisibility,Wooden Stake,0 +Iron Man,Marvel,4,5,8,Invisibility,Silver,0 +Iron Man,DC Comics,10,8,1,Flight,Silver,1 +Wonder Woman,Marvel,9,2,1,Super Strength,Kryptonite,0 +Thor,DC Comics,7,6,7,Flight,Wooden Stake,1 +Superman,Marvel,10,9,5,Flight,Wooden Stake,1 +Captain America,DC Comics,7,8,5,Flight,Silver,0 +Superman,DC Comics,7,8,1,Invisibility,Kryptonite,0 +Batman,DC Comics,8,8,9,Flight,Kryptonite,0 +Batman,Marvel,1,7,1,Super Strength,Wooden Stake,0 +Iron Man,Marvel,10,8,5,Flight,Kryptonite,1 +Flash,Marvel,10,6,10,Telekinesis,Magic,1 +Batman,DC Comics,8,2,9,Invisibility,Silver,1 +Captain America,DC Comics,4,2,4,Telekinesis,Magic,0 +Iron Man,DC Comics,4,8,8,Super Strength,Wooden Stake,0 +Wonder Woman,Marvel,4,1,6,Super Strength,Wooden Stake,1 +Batman,Marvel,6,6,3,Super Strength,Kryptonite,0 +Flash,DC Comics,7,6,4,Super Strength,Kryptonite,0 +Wonder Woman,Marvel,6,4,2,Flight,Wooden Stake,0 +Spider-Man,Marvel,1,10,1,Invisibility,Wooden Stake,0 +Spider-Man,Marvel,8,3,8,Super Strength,Magic,1 +Spider-Man,Marvel,10,3,1,Telekinesis,Magic,1 +Wonder Woman,DC Comics,7,1,1,Super Strength,Kryptonite,0 +Spider-Man,Marvel,6,3,4,Invisibility,Magic,1 +Superman,Marvel,6,4,10,Telekinesis,Kryptonite,0 +Spider-Man,DC Comics,5,5,10,Telekinesis,Kryptonite,0 +Iron Man,DC Comics,6,3,6,Telekinesis,Silver,0 +Thor,Marvel,9,6,9,Flight,Kryptonite,0 +Superman,Marvel,10,5,1,Super Strength,Magic,1 +Flash,Marvel,9,3,7,Flight,Wooden Stake,0 +Thor,Marvel,10,6,10,Telekinesis,Wooden Stake,0 +Iron Man,DC Comics,8,6,5,Flight,Magic,0 +Flash,DC Comics,10,8,8,Flight,Wooden Stake,0 +Iron Man,DC Comics,9,2,7,Flight,Kryptonite,0 +Captain America,Marvel,10,1,4,Super Strength,Wooden Stake,1 +Flash,Marvel,8,4,4,Telekinesis,Magic,1 +Superman,DC Comics,8,7,6,Telekinesis,Wooden Stake,1 +Thor,Marvel,1,10,6,Super Strength,Kryptonite,0 +Spider-Man,DC Comics,10,3,9,Flight,Kryptonite,1 +Iron Man,DC Comics,5,3,5,Flight,Magic,0 +Spider-Man,DC Comics,4,5,8,Invisibility,Magic,0 +Flash,DC Comics,2,5,5,Invisibility,Magic,0 +Thor,DC Comics,8,10,2,Invisibility,Silver,0 +Wonder Woman,DC Comics,3,3,6,Super Strength,Silver,0 +Superman,DC Comics,4,9,9,Telekinesis,Kryptonite,0 +Batman,Marvel,7,4,3,Invisibility,Silver,1 +Wonder Woman,DC Comics,10,3,1,Telekinesis,Silver,0 +Flash,DC Comics,9,2,1,Telekinesis,Wooden Stake,0 +Flash,Marvel,2,10,3,Telekinesis,Silver,0 +Wonder Woman,DC Comics,3,9,10,Super Strength,Wooden Stake,1 +Batman,Marvel,4,4,5,Super Strength,Magic,1 +Flash,DC Comics,10,3,3,Super Strength,Wooden Stake,1 +Flash,Marvel,1,7,9,Super Strength,Wooden Stake,1 +Iron Man,Marvel,7,8,8,Invisibility,Magic,1 +Captain America,Marvel,2,2,3,Flight,Magic,0 +Flash,DC Comics,5,7,9,Flight,Kryptonite,0 +Spider-Man,Marvel,1,5,6,Flight,Kryptonite,0 +Iron Man,DC Comics,3,5,7,Invisibility,Kryptonite,0 +Captain America,DC Comics,2,3,4,Flight,Kryptonite,0 +Spider-Man,DC Comics,1,5,4,Invisibility,Wooden Stake,0 +Thor,DC Comics,7,2,2,Invisibility,Wooden Stake,0 +Wonder Woman,DC Comics,5,4,5,Invisibility,Kryptonite,0 +Wonder Woman,DC Comics,1,6,8,Flight,Silver,0 +Batman,DC Comics,6,1,7,Telekinesis,Kryptonite,0 +Captain America,Marvel,5,10,7,Flight,Silver,0 +Spider-Man,DC Comics,3,4,6,Flight,Magic,0 +Flash,DC Comics,7,6,3,Super Strength,Wooden Stake,0 +Iron Man,Marvel,10,9,5,Invisibility,Wooden Stake,1 +Spider-Man,DC Comics,9,2,1,Telekinesis,Silver,0 +Iron Man,Marvel,9,7,7,Super Strength,Kryptonite,0 +Wonder Woman,Marvel,9,6,9,Telekinesis,Wooden Stake,1 +Batman,DC Comics,2,2,1,Telekinesis,Silver,0 +Flash,DC Comics,3,8,2,Invisibility,Magic,1 +Batman,Marvel,7,7,3,Flight,Magic,1 +Spider-Man,DC Comics,5,5,3,Invisibility,Wooden Stake,0 +Spider-Man,Marvel,2,5,8,Invisibility,Kryptonite,0 +Iron Man,Marvel,3,7,7,Super Strength,Silver,1 +Iron Man,DC Comics,10,9,6,Invisibility,Wooden Stake,1 +Captain America,Marvel,6,9,10,Flight,Magic,1 +Wonder Woman,DC Comics,7,9,10,Telekinesis,Kryptonite,0 +Captain America,DC Comics,9,6,4,Invisibility,Silver,0 +Captain America,Marvel,1,10,9,Telekinesis,Wooden Stake,0 +Spider-Man,Marvel,7,6,1,Invisibility,Silver,0 +Superman,DC Comics,8,3,2,Telekinesis,Kryptonite,0 +Superman,DC Comics,3,1,4,Invisibility,Kryptonite,0 +Superman,DC Comics,4,7,3,Super Strength,Magic,1 +Superman,Marvel,10,4,1,Telekinesis,Kryptonite,0 +Captain America,DC Comics,6,1,5,Invisibility,Wooden Stake,0 +Spider-Man,Marvel,10,8,7,Invisibility,Silver,1 +Superman,Marvel,7,6,2,Super Strength,Kryptonite,0 +Flash,Marvel,4,6,5,Super Strength,Kryptonite,0 +Batman,DC Comics,8,2,6,Super Strength,Wooden Stake,1 +Thor,Marvel,5,1,7,Telekinesis,Silver,0 +Batman,DC Comics,1,2,1,Telekinesis,Silver,0 +Spider-Man,Marvel,4,4,7,Super Strength,Magic,1 +Spider-Man,DC Comics,3,2,4,Flight,Magic,0 +Thor,DC Comics,9,1,8,Flight,Silver,0 +Iron Man,Marvel,8,7,4,Invisibility,Wooden Stake,1 +Iron Man,DC Comics,1,8,6,Flight,Wooden Stake,0 +Flash,Marvel,6,6,9,Invisibility,Magic,0 +Iron Man,Marvel,9,4,5,Telekinesis,Kryptonite,0 +Captain America,Marvel,7,6,4,Telekinesis,Wooden Stake,0 +Iron Man,Marvel,4,3,8,Flight,Kryptonite,0 +Wonder Woman,Marvel,1,8,9,Telekinesis,Wooden Stake,0 +Captain America,Marvel,2,10,4,Super Strength,Silver,1 +Captain America,Marvel,5,2,3,Super Strength,Magic,1 +Flash,DC Comics,5,5,8,Flight,Kryptonite,0 +Iron Man,Marvel,8,1,5,Flight,Kryptonite,0 +Iron Man,Marvel,6,6,2,Invisibility,Silver,0 +Flash,DC Comics,8,2,10,Telekinesis,Wooden Stake,1 +Thor,DC Comics,2,4,9,Invisibility,Kryptonite,0 +Superman,Marvel,3,6,3,Invisibility,Wooden Stake,0 +Flash,Marvel,6,10,2,Super Strength,Silver,0 +Thor,Marvel,10,8,1,Super Strength,Magic,0 +Captain America,DC Comics,3,8,8,Super Strength,Kryptonite,0 +Thor,Marvel,6,6,3,Super Strength,Wooden Stake,0 +Captain America,DC Comics,6,4,7,Invisibility,Kryptonite,0 +Spider-Man,Marvel,2,8,1,Super Strength,Wooden Stake,0 +Captain America,Marvel,7,8,1,Telekinesis,Wooden Stake,1 +Captain America,DC Comics,2,10,9,Super Strength,Wooden Stake,1 +Thor,Marvel,6,1,8,Super Strength,Silver,1 +Superman,Marvel,1,4,3,Super Strength,Magic,0 +Spider-Man,Marvel,3,4,6,Flight,Kryptonite,0 +Batman,DC Comics,2,7,3,Telekinesis,Magic,0 +Batman,Marvel,7,7,4,Telekinesis,Wooden Stake,1 +Superman,Marvel,4,8,1,Invisibility,Wooden Stake,0 +Batman,DC Comics,8,5,5,Invisibility,Magic,1 +Spider-Man,DC Comics,6,7,1,Super Strength,Magic,0 +Iron Man,Marvel,10,8,1,Flight,Kryptonite,0 +Spider-Man,Marvel,4,9,10,Invisibility,Wooden Stake,0 +Thor,DC Comics,5,3,7,Invisibility,Magic,0 +Flash,Marvel,9,3,6,Super Strength,Silver,1 +Wonder Woman,Marvel,7,4,2,Super Strength,Wooden Stake,0 +Captain America,DC Comics,10,5,2,Invisibility,Wooden Stake,1 +Captain America,Marvel,9,10,7,Invisibility,Kryptonite,0 +Flash,Marvel,7,1,1,Telekinesis,Silver,0 +Thor,DC Comics,1,7,2,Flight,Kryptonite,0 +Thor,Marvel,8,9,8,Telekinesis,Silver,0 +Wonder Woman,Marvel,4,8,6,Invisibility,Kryptonite,0 +Wonder Woman,Marvel,3,5,2,Telekinesis,Silver,0 +Captain America,DC Comics,7,4,7,Telekinesis,Silver,1 +Wonder Woman,Marvel,3,7,4,Invisibility,Silver,0 +Wonder Woman,DC Comics,8,5,2,Super Strength,Magic,1 +Wonder Woman,DC Comics,6,7,6,Invisibility,Wooden Stake,0 +Flash,Marvel,5,1,9,Super Strength,Silver,1 +Superman,DC Comics,4,1,9,Invisibility,Magic,1 +Iron Man,Marvel,8,10,8,Invisibility,Magic,1 +Wonder Woman,Marvel,8,3,3,Invisibility,Kryptonite,0 +Iron Man,Marvel,1,2,3,Flight,Wooden Stake,0 +Iron Man,DC Comics,9,2,2,Super Strength,Wooden Stake,1 +Thor,Marvel,5,7,5,Flight,Kryptonite,0 +Wonder Woman,Marvel,4,10,4,Invisibility,Wooden Stake,0 +Captain America,Marvel,6,2,7,Telekinesis,Kryptonite,0 +Superman,DC Comics,6,4,4,Flight,Magic,0 +Captain America,DC Comics,2,2,9,Super Strength,Magic,0 +Wonder Woman,Marvel,8,6,2,Invisibility,Silver,0 +Captain America,Marvel,7,8,6,Flight,Kryptonite,0 +Wonder Woman,Marvel,1,10,7,Telekinesis,Magic,0 +Superman,Marvel,5,4,4,Flight,Magic,0 +Spider-Man,DC Comics,6,5,6,Super Strength,Kryptonite,0 +Superman,DC Comics,4,4,7,Flight,Magic,0 +Flash,DC Comics,2,3,4,Telekinesis,Wooden Stake,0 +Spider-Man,DC Comics,4,5,8,Telekinesis,Magic,0 +Batman,DC Comics,1,9,9,Super Strength,Kryptonite,0 +Spider-Man,DC Comics,7,8,1,Telekinesis,Wooden Stake,1 +Iron Man,DC Comics,2,8,7,Invisibility,Wooden Stake,0 +Flash,Marvel,2,8,9,Telekinesis,Magic,1 +Iron Man,Marvel,9,8,10,Invisibility,Silver,1 +Flash,Marvel,5,7,5,Flight,Wooden Stake,0 +Superman,Marvel,2,8,2,Invisibility,Kryptonite,0 +Iron Man,Marvel,9,8,10,Invisibility,Silver,1 +Iron Man,Marvel,9,8,6,Flight,Silver,1 +Batman,DC Comics,1,10,7,Telekinesis,Wooden Stake,0 +Iron Man,Marvel,3,7,2,Invisibility,Magic,0 +Thor,DC Comics,4,1,2,Telekinesis,Silver,0 +Thor,Marvel,7,4,10,Flight,Magic,0 +Thor,DC Comics,10,4,10,Super Strength,Wooden Stake,1 +Spider-Man,DC Comics,4,5,1,Telekinesis,Kryptonite,0 +Superman,Marvel,2,10,4,Telekinesis,Silver,0 +Superman,Marvel,7,6,7,Super Strength,Kryptonite,1 +Captain America,Marvel,6,4,9,Super Strength,Magic,1 +Batman,Marvel,3,2,3,Flight,Magic,0 +Thor,Marvel,6,6,7,Telekinesis,Kryptonite,0 +Thor,DC Comics,6,8,7,Telekinesis,Wooden Stake,0 +Iron Man,Marvel,5,8,7,Flight,Wooden Stake,0 +Thor,DC Comics,4,7,2,Telekinesis,Silver,0 +Iron Man,DC Comics,10,6,6,Invisibility,Silver,1 +Iron Man,DC Comics,1,2,2,Invisibility,Wooden Stake,0 +Captain America,Marvel,10,7,6,Invisibility,Wooden Stake,1 +Spider-Man,Marvel,6,5,10,Telekinesis,Kryptonite,0 +Iron Man,Marvel,2,6,3,Invisibility,Magic,0 +Iron Man,Marvel,3,10,2,Invisibility,Magic,0 +Superman,Marvel,8,8,6,Flight,Silver,1 +Captain America,Marvel,10,8,2,Flight,Wooden Stake,1 +Iron Man,DC Comics,6,3,5,Super Strength,Kryptonite,0 +Batman,Marvel,3,7,2,Super Strength,Silver,0 +Spider-Man,DC Comics,7,1,3,Super Strength,Kryptonite,0 +Flash,DC Comics,4,1,3,Super Strength,Wooden Stake,0 +Batman,Marvel,9,7,6,Flight,Wooden Stake,1 +Thor,Marvel,5,10,6,Flight,Wooden Stake,0 +Spider-Man,Marvel,3,9,10,Flight,Magic,0 +Thor,Marvel,2,7,3,Invisibility,Wooden Stake,0 +Superman,Marvel,2,10,3,Invisibility,Silver,1 +Wonder Woman,Marvel,3,5,1,Super Strength,Magic,0 +Wonder Woman,DC Comics,2,8,7,Invisibility,Kryptonite,0 +Wonder Woman,DC Comics,4,2,8,Telekinesis,Silver,0 +Iron Man,DC Comics,2,9,2,Flight,Silver,0 +Captain America,DC Comics,10,6,4,Super Strength,Kryptonite,0 +Batman,DC Comics,9,9,10,Super Strength,Magic,1 +Thor,DC Comics,2,2,7,Telekinesis,Silver,0 +Iron Man,Marvel,9,3,8,Invisibility,Silver,1 +Wonder Woman,Marvel,6,8,1,Super Strength,Silver,1 +Batman,Marvel,1,1,4,Invisibility,Magic,0 +Batman,DC Comics,4,10,6,Invisibility,Magic,1 +Superman,DC Comics,1,7,3,Telekinesis,Magic,0 +Superman,DC Comics,6,7,5,Super Strength,Silver,0 +Wonder Woman,Marvel,4,1,10,Invisibility,Wooden Stake,0 +Thor,Marvel,3,9,9,Invisibility,Kryptonite,1 +Wonder Woman,Marvel,3,8,3,Telekinesis,Wooden Stake,0 +Wonder Woman,DC Comics,9,4,5,Telekinesis,Magic,1 +Iron Man,DC Comics,6,10,8,Invisibility,Silver,1 +Captain America,DC Comics,9,5,6,Telekinesis,Silver,1 +Wonder Woman,Marvel,5,2,4,Invisibility,Wooden Stake,0 +Thor,DC Comics,2,9,8,Super Strength,Wooden Stake,1 +Batman,Marvel,8,6,3,Flight,Kryptonite,0 +Batman,Marvel,5,3,3,Telekinesis,Silver,0 +Flash,Marvel,2,7,4,Flight,Wooden Stake,0 +Spider-Man,Marvel,4,9,9,Invisibility,Kryptonite,1 +Wonder Woman,Marvel,9,3,5,Invisibility,Magic,0 +Flash,Marvel,4,2,8,Invisibility,Wooden Stake,0 +Flash,Marvel,4,7,6,Flight,Magic,0 +Iron Man,DC Comics,2,7,3,Invisibility,Kryptonite,0 +Spider-Man,Marvel,6,4,8,Telekinesis,Magic,0 +Superman,DC Comics,2,9,9,Super Strength,Silver,0 +Captain America,Marvel,7,8,8,Super Strength,Silver,1 +Thor,Marvel,3,1,4,Telekinesis,Magic,0 +Wonder Woman,Marvel,3,1,6,Super Strength,Silver,0 +Batman,DC Comics,5,5,1,Flight,Kryptonite,0 +Iron Man,Marvel,3,6,4,Invisibility,Silver,1 +Batman,Marvel,2,3,8,Invisibility,Magic,1 +Wonder Woman,DC Comics,10,9,1,Invisibility,Magic,0 +Superman,DC Comics,9,10,3,Flight,Magic,0 +Spider-Man,DC Comics,2,6,1,Flight,Wooden Stake,0 +Wonder Woman,DC Comics,2,4,9,Flight,Magic,1 +Spider-Man,Marvel,8,7,2,Telekinesis,Kryptonite,0 +Thor,Marvel,9,8,9,Flight,Silver,0 +Iron Man,DC Comics,7,9,4,Super Strength,Silver,1 +Superman,Marvel,3,6,2,Telekinesis,Wooden Stake,0 +Iron Man,DC Comics,9,6,4,Telekinesis,Wooden Stake,0 +Thor,DC Comics,3,8,10,Telekinesis,Kryptonite,0 +Superman,DC Comics,5,5,6,Flight,Magic,0 +Flash,Marvel,9,3,7,Telekinesis,Wooden Stake,0 +Superman,DC Comics,3,3,3,Flight,Silver,0 +Spider-Man,Marvel,7,6,3,Flight,Wooden Stake,0 +Spider-Man,Marvel,1,2,10,Telekinesis,Wooden Stake,0 +Spider-Man,Marvel,4,6,8,Invisibility,Magic,1 +Batman,DC Comics,4,6,5,Invisibility,Wooden Stake,1 +Flash,Marvel,7,8,4,Telekinesis,Kryptonite,0 +Captain America,DC Comics,8,7,7,Invisibility,Silver,1 +Wonder Woman,Marvel,1,8,7,Super Strength,Magic,1 +Spider-Man,Marvel,5,9,9,Super Strength,Silver,1 +Captain America,Marvel,7,6,9,Flight,Kryptonite,0 +Captain America,DC Comics,4,3,5,Invisibility,Kryptonite,0 +Iron Man,DC Comics,4,10,8,Super Strength,Wooden Stake,1 +Thor,DC Comics,4,3,10,Telekinesis,Wooden Stake,0 +Batman,DC Comics,6,1,1,Invisibility,Wooden Stake,0 +Captain America,Marvel,7,5,9,Super Strength,Silver,1 +Wonder Woman,Marvel,2,4,8,Super Strength,Kryptonite,0 +Batman,DC Comics,5,9,6,Telekinesis,Magic,1 +Iron Man,DC Comics,4,9,3,Flight,Wooden Stake,0 +Spider-Man,DC Comics,3,5,3,Telekinesis,Silver,0 +Superman,DC Comics,7,10,8,Flight,Wooden Stake,1 +Captain America,Marvel,6,4,5,Super Strength,Kryptonite,0 +Thor,DC Comics,7,7,10,Flight,Magic,1 +Superman,DC Comics,5,6,7,Super Strength,Kryptonite,1 +Iron Man,Marvel,6,4,5,Super Strength,Silver,0 +Batman,DC Comics,5,10,8,Invisibility,Wooden Stake,1 +Wonder Woman,Marvel,7,2,10,Flight,Kryptonite,0 +Flash,DC Comics,2,1,10,Flight,Silver,0 +Spider-Man,Marvel,5,4,4,Flight,Wooden Stake,0 +Batman,DC Comics,6,4,2,Telekinesis,Magic,0 +Thor,DC Comics,6,1,3,Invisibility,Kryptonite,0 +Captain America,DC Comics,5,6,8,Invisibility,Wooden Stake,0 +Thor,DC Comics,10,4,7,Invisibility,Wooden Stake,1 +Batman,DC Comics,7,1,2,Telekinesis,Wooden Stake,0 +Batman,Marvel,10,1,6,Flight,Wooden Stake,0 +Superman,DC Comics,8,1,9,Flight,Kryptonite,0 +Thor,Marvel,7,8,4,Flight,Wooden Stake,0 +Thor,Marvel,5,10,9,Invisibility,Silver,1 +Thor,Marvel,1,8,2,Invisibility,Kryptonite,0 +Spider-Man,Marvel,5,2,2,Super Strength,Wooden Stake,0 +Wonder Woman,DC Comics,10,7,9,Telekinesis,Kryptonite,1 +Batman,DC Comics,2,8,7,Telekinesis,Silver,1 +Iron Man,DC Comics,5,8,7,Invisibility,Silver,0 +Spider-Man,DC Comics,5,10,1,Super Strength,Kryptonite,0 +Spider-Man,Marvel,2,7,6,Flight,Wooden Stake,1 +Spider-Man,Marvel,5,5,7,Invisibility,Wooden Stake,0 +Superman,Marvel,4,1,6,Telekinesis,Silver,0 +Flash,DC Comics,1,9,6,Telekinesis,Wooden Stake,0 +Wonder Woman,DC Comics,3,7,2,Telekinesis,Silver,0 +Wonder Woman,DC Comics,1,2,6,Flight,Wooden Stake,0 +Iron Man,DC Comics,5,6,4,Telekinesis,Silver,0 +Flash,Marvel,4,2,9,Flight,Magic,0 +Thor,DC Comics,7,1,1,Flight,Wooden Stake,0 +Superman,DC Comics,5,7,8,Flight,Wooden Stake,1 +Batman,Marvel,10,2,5,Invisibility,Wooden Stake,1 +Flash,Marvel,4,2,1,Flight,Kryptonite,0 +Captain America,DC Comics,2,5,4,Super Strength,Wooden Stake,1 +Superman,DC Comics,4,5,1,Telekinesis,Kryptonite,0 +Captain America,Marvel,2,7,6,Invisibility,Kryptonite,0 +Batman,DC Comics,8,1,2,Telekinesis,Silver,0 +Iron Man,Marvel,3,8,5,Flight,Kryptonite,0 +Wonder Woman,Marvel,9,3,7,Invisibility,Kryptonite,0 +Captain America,DC Comics,4,4,2,Super Strength,Magic,0 +Spider-Man,Marvel,6,9,6,Flight,Wooden Stake,1 +Superman,DC Comics,10,4,6,Telekinesis,Kryptonite,0 +Flash,DC Comics,5,10,5,Super Strength,Wooden Stake,1 +Flash,DC Comics,10,5,5,Flight,Kryptonite,0 +Captain America,DC Comics,1,7,3,Super Strength,Silver,0 +Batman,Marvel,9,4,10,Flight,Magic,0 +Wonder Woman,DC Comics,1,1,10,Invisibility,Kryptonite,0 +Spider-Man,DC Comics,8,9,2,Flight,Wooden Stake,0 +Flash,Marvel,9,4,7,Invisibility,Silver,1 +Captain America,DC Comics,9,9,1,Flight,Wooden Stake,0 +Wonder Woman,DC Comics,1,6,6,Flight,Silver,0 +Batman,DC Comics,2,1,6,Telekinesis,Magic,0 +Iron Man,DC Comics,1,3,3,Super Strength,Silver,0 +Batman,Marvel,10,2,2,Super Strength,Wooden Stake,1 +Iron Man,Marvel,2,9,2,Super Strength,Wooden Stake,0 +Flash,DC Comics,10,1,9,Flight,Kryptonite,0 +Wonder Woman,Marvel,8,9,5,Flight,Silver,0 +Wonder Woman,Marvel,5,9,7,Flight,Wooden Stake,1 +Spider-Man,Marvel,7,8,5,Invisibility,Kryptonite,0 +Batman,Marvel,2,8,7,Invisibility,Magic,0 +Thor,DC Comics,8,1,4,Telekinesis,Wooden Stake,0 +Flash,Marvel,6,8,8,Flight,Kryptonite,0 +Superman,DC Comics,8,10,10,Super Strength,Wooden Stake,1 +Thor,DC Comics,1,3,10,Super Strength,Silver,0 +Flash,Marvel,1,7,7,Telekinesis,Kryptonite,0 +Thor,DC Comics,7,1,10,Super Strength,Silver,0 +Thor,Marvel,8,1,5,Telekinesis,Magic,0 +Superman,DC Comics,3,10,6,Flight,Silver,0 +Thor,DC Comics,5,5,5,Super Strength,Kryptonite,0 +Iron Man,Marvel,1,5,7,Flight,Wooden Stake,0 +Batman,DC Comics,7,8,2,Invisibility,Kryptonite,0 +Wonder Woman,Marvel,5,7,5,Super Strength,Silver,1 +Spider-Man,DC Comics,8,8,10,Invisibility,Silver,1 +Thor,DC Comics,8,6,3,Super Strength,Wooden Stake,1 +Wonder Woman,Marvel,9,6,9,Flight,Magic,0 +Thor,Marvel,7,2,6,Telekinesis,Kryptonite,0 +Flash,Marvel,1,6,10,Flight,Wooden Stake,0 +Spider-Man,DC Comics,3,5,3,Flight,Wooden Stake,0 +Flash,Marvel,8,3,7,Flight,Wooden Stake,1 +Spider-Man,Marvel,3,6,4,Super Strength,Kryptonite,0 +Thor,Marvel,8,8,3,Telekinesis,Kryptonite,0 +Iron Man,Marvel,1,9,8,Invisibility,Kryptonite,0 +Wonder Woman,DC Comics,5,1,4,Flight,Magic,0 +Spider-Man,DC Comics,4,3,1,Super Strength,Wooden Stake,0 +Batman,DC Comics,5,3,6,Invisibility,Silver,1 +Wonder Woman,DC Comics,8,8,10,Flight,Silver,1 +Batman,DC Comics,10,1,1,Invisibility,Wooden Stake,0 +Wonder Woman,DC Comics,4,5,5,Flight,Silver,0 +Iron Man,Marvel,4,3,7,Invisibility,Magic,1 +Flash,DC Comics,3,2,6,Invisibility,Magic,0 +Superman,Marvel,7,8,2,Telekinesis,Kryptonite,0 +Flash,Marvel,3,3,4,Telekinesis,Kryptonite,0 +Captain America,Marvel,3,7,2,Flight,Kryptonite,0 +Iron Man,Marvel,10,1,1,Super Strength,Kryptonite,0 +Thor,DC Comics,5,6,3,Telekinesis,Kryptonite,0 +Captain America,DC Comics,5,3,3,Invisibility,Silver,0 +Thor,DC Comics,6,8,7,Telekinesis,Silver,1 +Batman,Marvel,8,6,1,Telekinesis,Kryptonite,0 +Spider-Man,DC Comics,10,2,9,Flight,Magic,1 +Wonder Woman,DC Comics,6,6,6,Telekinesis,Silver,0 +Thor,DC Comics,1,7,4,Telekinesis,Magic,0 +Batman,DC Comics,8,5,3,Invisibility,Magic,0 +Iron Man,DC Comics,8,3,3,Telekinesis,Wooden Stake,1 +Thor,DC Comics,9,4,2,Invisibility,Wooden Stake,0 +Flash,Marvel,9,4,2,Telekinesis,Kryptonite,0 +Batman,Marvel,2,6,10,Telekinesis,Magic,0 +Spider-Man,DC Comics,2,10,5,Super Strength,Silver,0 +Wonder Woman,Marvel,3,1,9,Telekinesis,Wooden Stake,0 +Thor,Marvel,1,4,2,Invisibility,Wooden Stake,0 +Superman,DC Comics,4,10,2,Invisibility,Magic,0 +Batman,Marvel,4,4,6,Flight,Wooden Stake,0 +Thor,DC Comics,9,10,10,Flight,Wooden Stake,0 +Spider-Man,Marvel,9,1,2,Super Strength,Silver,0 +Wonder Woman,DC Comics,9,9,4,Invisibility,Magic,1 +Thor,Marvel,10,4,6,Invisibility,Wooden Stake,1 +Thor,Marvel,7,7,5,Invisibility,Magic,1 +Wonder Woman,Marvel,2,3,1,Super Strength,Wooden Stake,0 +Superman,Marvel,10,10,6,Invisibility,Silver,1 +Batman,DC Comics,5,3,1,Flight,Magic,0 +Captain America,Marvel,4,8,3,Super Strength,Wooden Stake,0 +Flash,DC Comics,8,8,10,Flight,Silver,1 +Wonder Woman,DC Comics,2,1,5,Flight,Wooden Stake,0 +Thor,Marvel,6,10,10,Super Strength,Magic,1 +Captain America,Marvel,5,2,5,Telekinesis,Wooden Stake,0 +Iron Man,DC Comics,2,8,10,Telekinesis,Magic,0 +Thor,Marvel,10,1,6,Flight,Magic,0 +Captain America,DC Comics,1,8,10,Telekinesis,Wooden Stake,0 +Iron Man,Marvel,8,8,8,Invisibility,Silver,1 +Superman,DC Comics,2,2,5,Super Strength,Kryptonite,0 +Batman,Marvel,7,4,1,Flight,Silver,0 +Thor,Marvel,9,6,5,Invisibility,Silver,0 +Batman,DC Comics,9,9,3,Telekinesis,Wooden Stake,1 +Iron Man,DC Comics,8,8,4,Invisibility,Silver,0 +Batman,DC Comics,10,8,8,Telekinesis,Silver,1 +Batman,Marvel,9,7,7,Flight,Kryptonite,0 +Wonder Woman,Marvel,2,9,5,Invisibility,Silver,0 +Spider-Man,Marvel,6,2,2,Super Strength,Kryptonite,0 +Iron Man,Marvel,4,3,6,Flight,Wooden Stake,0 +Batman,DC Comics,4,10,6,Invisibility,Kryptonite,0 +Flash,DC Comics,5,8,10,Invisibility,Magic,0 +Captain America,Marvel,3,6,10,Telekinesis,Magic,1 +Iron Man,Marvel,1,10,6,Flight,Kryptonite,0 +Spider-Man,Marvel,8,9,9,Flight,Magic,1 +Thor,DC Comics,5,10,8,Flight,Wooden Stake,0 +Superman,DC Comics,3,4,8,Flight,Magic,0 +Batman,Marvel,10,8,1,Telekinesis,Kryptonite,0 +Captain America,DC Comics,7,10,5,Super Strength,Wooden Stake,1 +Spider-Man,Marvel,7,3,7,Flight,Magic,0 +Iron Man,Marvel,1,3,6,Telekinesis,Wooden Stake,0 +Superman,DC Comics,9,8,5,Super Strength,Kryptonite,0 +Superman,DC Comics,2,5,8,Super Strength,Magic,1 +Flash,DC Comics,5,3,3,Telekinesis,Wooden Stake,0 +Batman,DC Comics,5,10,6,Flight,Wooden Stake,1 +Spider-Man,Marvel,8,1,5,Super Strength,Magic,1 diff --git a/Fictional Character Battle Outcome Prediction/Images/__results___13_0.png b/Fictional Character Battle Outcome Prediction/Images/__results___13_0.png new file mode 100644 index 0000000000000000000000000000000000000000..40ed9aabe1f77c4bfce627c246c5ce58c6724e1f GIT binary patch literal 18045 zcmd^n2T+t-w`H3%Ton}+@v5K%1ra2J5s;jNNKym@BY_0I?J*w~x#4n{udD#{4zRUG}!s0R3zK9R4``isMKzSw%xVcg7)j*rj^!eN^NKl=Fy7@e99ywg`M{-RN#m>oGH7*XTXnCu-Yr zX|KYg$gTXQ9D;&x^T*DlTWh8oO@VaN=2bfmOs|a zW-Yq(dKdE|+wJ_OzNV#*o~Ac@pDDPpu9D_8?O3o*sB5_V$hebv=Xvs!67C~zjM9&V zY--+G)sK8V!I*%HW=+$xHEEucp7qvsZx(JUCwGUQ)ytDRGgPwepwT5Rjrd5jCtfvC zeIJ>9rTtjF-o16{eV%U7_4R31Ph!$YDS!Eek**4hif7k5N<*UhY18y8)t4O{o*D@G z9hu9x&nnR~+DFNl2pYr&%iX`fLoD%Z!3}zMQ?3U$7nj`pRBhg!+2^+AZ(aHgWYse5 z+so>l-(Oo*{OOa5g@r|gK}^FaQ<483873AMz2EJ;g4opB&L=)8aS`rvev(u1MP9sl zGp`s}#k(HAS2-8NsV;3&JYcsX|3`)K(#WIj#X;&uMn(~gn`G{@RD6AULNi8glSsHy zb-e0=3Hb6+qoZW}5>3B^CZ2vBTO^dWf`LUvLBTgv&?@ow?~Af(YHHNu$B(};DcQ`< z#>OEmtP{koUGs>~xS>}p02Y&ATy%f+nls}`5-JTx!xvEpIVjWWI3L2 z6% zcIu7^?(j&|kC6*%m`~MBOZ1*>-{Lh|txeZ;sD12F+^TKp6@#5q4&u`M787jHW8hpC zCPEKAapHti>ph{KU_Cy4L`9`lS z-SP;DH1|;pKTBaMl`3FT%p^M`ylL1mHE%8}Q9G3abM@^s%{ zJe8assoZ_Un{vHKn}gDTwTM14H*unnxvw!>J7Ax(mbCN@I&Iq8WxKJjHEq)LfbN@9 zxgO(Mx$dKZRO+*vJH2(pTvkul($rcD?^QpOTC;AOz$xC`5h|{_ zBItHw*+RwLUWFdEjD?#dBAoU#=jHKawr!BW84odY^Ajv9JT z#?-wrS2xPW^YqM3_iMwISUrC8$ritEA|~$d@4t=j+_n2GBD-Zn`HXM4kNr-#c5SJ| z^zYYGy{UO4JxQsFZo?hAX%<0v4-fmyd474sx2L&igr42sGw`#3 zyaWrw%|gGOsXY2w7fK!;SiN#3hpi#go1N_Dh8I|C=^3pIn$LALv0#-h&0cZA z2JW&xbCYpR-qThtk4eB%79YGujvDQ*l$jput8DumK$iBoZd!38_XM^f5#i*HpI_}K z|2^%UopI)su?dQg1$DC=6JW$_vbwKL@1^9;xl2h)TU5oXirW3UCVij9t+4jfkBdKE zNxe2Jujxx~PRYm+?)&jtMml0MmaWIh3rAqn@~Chq#;?ZqF@9^24P!)O!LV&q<0O4Khn&iveL5JH?muDkiy z$YXNy@|7jLdC7=`-8hDsxq5I^JJd%6Cb*DgS zs@`0vcrU^0Qh#^z0j{dKc8^;n>CyB|>aH&vzhzDG z>y%;SG{MW4FH2JsaJ*Z~;`-eBxapJN3Ukg1;!4^7!Z5VRjHS;3Ie=`-|spEPyy_v`YZAL?cg0|JbZo6Oll;^R3S zYV}=0IMrhxS=GO7Hy5*SJGJL?1HvNfaDR5cmoTU%R3{p@J1;a(n|vNtx(O%l9(d=(jbJbqaeZ`;;eCps=h;FITh=fe`-(XK zengg+ESpSrt)Wljsp9d&u2~2#WXIgA)W3J;MAm-!79)R;jo+a|!Ee%`v+N6ho=M3= zR;Lc@`KnqodhegLcQ$cjFI)$V{6_b&v$u;Bj?f$HKYaM`2$8uU%BnU+U(wYyV-gX^ zm+yLW=RT#dgLZaydj$n+W+pqIu=a|N9eOUE#Nw2A{C_hR2^hreSw*LOqV^^2E?H6bj~)Okb$Ije{$R_N{LA$DPH!;}U`52xKbyyX{P+`|4tVfZ5sEId|`VFOg^6m}SvS%cV{Hy1P47ol0(kuN%F_ z8|$*1lJ+WwMt}Hl5`nt=o=_9Vx2y#tYZb)P?+|xY0gwrvn`mVm|I*xScyGH<4GeiG zxi!LrKKO_R@JP_o_((&h!=^v}hy)bP>YSXMG|#`ZNGeg2O3xWq@;kzCs*PDrm55-CeaIEhfN?E8Q`w6@e^zyNehU~E_~=o52~T!u zZX;3!=dN8(KlzCSS9S+JY5shq9_v>J{{+(0h>~9STrcyG@-#wR0-`FtyK;OQP&OWM zs)xMdh2X%z=z)QObG4k|^$wDjHT$pMyqSckz*;Wj>6wFT40%ax`H0tN5C82Zp-J!E z9n2?9f|ICI51X;C%z;&_Rw4eXM9g}>^`co+bHT{X2U^~_r6`t4H1-4UObwOrIu-43 z=|b|MThW{I3~@?bhFz31y}?asnsRiG7}S|4>3ibK4KsREvNiI&z1Fb^s|YnZ1{6O$ zkOVJHux~G3y>8v8j^KFJ8~mQx8Fb)`mQC*H!)ejG2=eV7v$qk6WHS7t^Je>Os2VM& z>`6|7&BP$tv}L9O0ATql0NFLNo%`NPOw1QQ&x;(5jgDsW$iGTXBKa6@N-~Vs++^pr zBi=cPJ8{TAX_mDqD!sSw-W`6_gy&}4)eC<7 z@PUJa<5N^4@}EKcHf1LZ;ZKbZqtEH{?haqO(obUS5rG4!VB`(GMuUiH0zeurTC~W$ zGu%bI&JclxwX!-%I~Z>>ot9?TD!tWs=uJtGN1YbkTXNR%z4{JO$5W?IpB8l=xj^ep z0#JEb;6wl*E`{n#%G}(Xwf0)LyOn0j>%Q@Z+No}*4}@- zDY;_RnQOInhkG`7dwaVz$;9Qo9q+4;ySjq02jQ$1k-;Edw`?rKA=N({mC@>C8-##E zgNezegiA|6MC`1w|A`xH@Pkv-L;U=BheGk4 z(icfUfX&1!g^L17-X;Mfgx_qlDD$%A%iR?^+uBZvx`nGcIyy#-#Tnjou&}ATuJUzE zVb}6n;m0Hb^wnvmH@PPf=O#;rBxsg1)-_@q5fHEk6|smzN81@oz^&|XHi_{D2Oxd} zS}((@RjOKAT6{adgb>i?{_FO>5kH@q6TnH)yLay3R%RS+qGl_TGH`K$Ej&^pw!BEPypeu_Q9{Fr(b$d_NwIZCp>F2*>%%Hp zH6Y#S`E|Q(CkD>?8ALVgtPyvrN_*lxC2L&htBQ&_Ff=p~LGl8s4mYJryg|jo17{j? zPf|y)-g4BU$VG8?e0?=kR2~Rk{QjVmhO)V&yu93N&{frYR5E?;O3j&<=ROXLiaT2~ zHm2xjHw@oVOLcs;;-siZmj2m->K`8p3sJjD5hy9{es5^|*`)YU_Y;7?JvGmh5Zkhp zua-Eu|JnS;Jiy-Gz9IEFGI$Ad6inQ&wx!#C+(Ad@`_^#>*!1EhOBy8<;)?s7G<9}* z4qPVNLZ{qGHNbS=;CzJ(}-U z&vWVh&ux1s%S63rGEk?*0jXpu2W9`fu{|(6{5cB3A5ncM7}{)wt6mz*jK2a(OVrDJ zMSP&G?L0wdjFJ;Zw0cn|uR>;0`~%{u)W5YFw(5r!661d2Idr?I+u396cSUwTEeSWt zR^C;z?$Gtgd&Jt{fy$L}%HtR2K{{AA<+x?x-ep<$XZGu7X%zYGEayKm{w7gfxp55x z1JAeqK{k}rC^(dl%sSHQzo*+6`u8fHI`wt1wMZhx2XV)a@ug?tv)|1Q#G|d6X%gi# za5YqmCdd<>5v1R3m19gC%2=9FCW$ZiF-^?ou7_B|pQ$0E}T%MiB zA*@OF9vdImK7Ra)X?aASYA>p@28sBOKl}Ti#L-YbZJKruxUp_K*P%mdskvjJ2znh6 zPr|}Hk42PRF%WWTu)B#sH`*4U+;O@C@UTB@S?{!;K}g+zRDzV+EAK0^}MJq4Whlw~eNF4DP zr&p7Og@N?=%dpzr^o8FiAdQpC?u}EgmOdB&lI0~Q+cvIa75_eauj~6u;~;p*^)*|F zZQ$7ITkH3XOtkv-zOA<&UdhZ8EDyA!i88+$F@~V+`N?vh5#-T`!8Zg7TL5iaH05NX z(vc+O38@*hv>u`~=(k2VkeHmF?)_o*q#6;h%~7;ER`K!T)U&Si%uZrOht0p8L{@ZW ztlh!N8qq1Fw0hxKn0i%={Fd=d%1JD_oKJ(Mf)se@Rkf?>4ua4%G4dXC;@sZ zm5)?kUb2GC&AWc*&Yirnq`us+VFQVp@bt~*9)xw%(+fkz*gbbIdIlI(7ZFLl=>85T zQts~FeVmlhBi)swD1j`0eYowWWJW5QFG9`9D9SIu)<}-2dVWU8#qSi1>9F%}opn1U z^~i@ zb-82!+dWnZU2IIXQ>}g+DRKcPzoHn_%yzay%vEL`y|?YK9Ed4`tjZ?N=#adgz2Ys> zHYov3%fe3o?!CNt@nQiy&}e_NA)tK);8MbyHv*^^`@&NBxO`!@2hP0JK*4s{xG7-PgBG}QUl2)tda4!L|%p<-IKsmIf#pt!$u&D!z zjK`6Ye{S5g$pl4mh}ng6;evrFe1*w+ncon69zA&Q$3`Zm^9a*cG_Y^teuKce2SIH( zFa~?ReVV;xzm5^i%oK555zwW(Dk0!>w)1nD$IsT*&cZ|4KTl(~fbB<`;eWfWr7;r~FT!J|#6B8#{Z54Q;aU)S>>|@rdk3gp*Rx6gIo} z?73I)(>8UVOIKTGga=Rgn34}qZSrYjwh$Rsw>IBtJGgyEh*<<5%s_yTk1rOB7V9}V z1Sb~kxXLK`X`BzGWle)~y%i~219=Ub*0KnHWsz_fD9<{ANLHES=CF~4p$I9VFqe(Y%ooTqBdB&;EFE_NxE+2)B-{es5und`p(EJ*b(e!3PW5D=JzC zq+F9TH`PlQlxplG<&!z8q*d$I9e(%jT`Y!pwn_jQ>AZ@(aL93>m z$uRGwqZ*kKWb3(W4hwIQ1GHz_zMb%TlUYnjaNb1k*{OwKlCMMmeOTVF?kQ4_vmgBeC)Y3*4Zcuw;T>2eh zjy7>?#bYzM)MI@K@eeQ=kA4EZV*jG=H_?yzqz!Imt-J13LRf&K_6^F#wcVimQx=W09_x|ef42u14t)E;q zmwT$fMc(tXF4u3|aGyD~o%DdRnT;KRA;EK<_VzZTZ{%`%*9Ai`JGqs7Yc1yd`zv^I z_d>xK9%h^-Cpy_u@czB0-a7KNp{%m9HmLN5tv?my^bZzGc=7Dt@4L`cic|^yesF>` zo&L3M6F&V%8&&_|skw(}Jm`mc6f&Ebnoec;4i_>cxz`T-3SU%wLa1`0fX>mC`Ls$e#VxrMndU&1ti&xy03zzxHpi zL6eF?IjYtzarYYkDHZ0Kd~O{0A1rBv_SFh1yL?rG`aZI+Ao}4%lE%{??`|piY1@|B z*OXiT*o5rOi!dAtuFMfF63gO1PAOe$5ZNH-gQrQqj#ra35h(_9JEBPc2^_1GK?+Ds zF71?tN#2F;hE#W_@{uHV?%cU5nwN*y@E0K(&kCG%l(Vy%HR{=&+qWw$Q*&bpM&#y} zM?j7Rj}U{_g8^LblS>Hp240gHS6NxftC30WCwF_pCSUNhPf<>1#K9dBkqj--+zRD0 zmZp{XZWmI5`_fd{$t!SNmupLKjKksnz&9E#vjsO9YY`$F($VeE%kLo<3|!8hSj2H8 zAt3=z!#Us`SIHSy>9&ZQoUc;ndYIYd{CU@rvFMl>&clZ_!Q3u5mFI+QAG#Jcd9!cX z%mH%l+`X%gYC0$+BtfXzQ=Jg-!1A464v~hdPFd2suA-ej8of2o8!J!TSnJO=`um4E z3NNynZ*7|Cw0VF|0>i*XBp|<5KR=_rX7m059kN)IFdKt)(nt?fzS#WffPesr*qiIN z$D-rs_L_}+|0(JNBaQrn(nNyJzuU{jxBqS4^>25O|G&8_HVTZlYMfHIMy9<9Xt*yC z64S{g`_WT_ML($Qt^y&Gg5uET;ev}at&=8A)M{RzEjD0aau-V7+1e!fwanZbyS#L*&3fHTYb-Y`|XK4BMwgIg`VkN%%!Fku1rj zbvfI74;?y0ND6R}viokfDk&;fkM-5Fhl{UEk?~`tkAYY5BfS*3fH{f;cO?B0B-&me z+Y!?ca)?bVjPh)3+k3YW+C?c3LxU5cJuj?N}>16M9AD{<~iynp-)!2~}3hn&pB zQ$PRXC+4WqQU$}{%ZtON8V1CJ^iXd?BvES;w(`?ZF8S4MV{dW|Gu6$Q^@ z_I536sMP1tp0dXeipt1ra}1vOevkbQpIX`NfcbImJwcaj{v0qA*~gS)ADfyqaEJ2% zLvgo_r~dM}66S85vd{Cuqpb&3sOL?@1dL=wNKSMcxIL#g8RS2+#8ZFS5JzwCVxz5b zd8p)THCr@j^YrzT+_{E-o_8tk2+)*0$7V7=K0imrvz-^&HR+@EYR-0OY#D_jytDY0 zvKITgX8ov@%qawl{O7eQ|LD^HpDASiJMWsiW`i%PjAyXD;&%H4(3n#{Z|+=u@o`uf zBsf3q95VH`Jp0SlhujZNp+oq5*NGb!+CKT~X4=Q3(55U93@-FHThRkay45H0V1GXNI#>Y5tv>=G(kpu zsmr5~@6A8n*@Sw$abB>iGY-8F(oS2(6YTH*6n!GZ3n>7g8VE_$jOvlcW8&gG8gMox zk^>G-IvplvW}V%Gx9{BfhKA{|ek^1|?r8jveBSq@3w1XEq(m{&>^*&;c?|tubyRrM zTHt$z=Y+|H0Fz;uL)I$6;AZvHPZDkFc>5}cIrJ!r6_ zm|H8E!^g)53|*1&9O_%99Xs^not7?L8jpBEI_I=;v2Z1k@G^%K;_a7mbLxyW-d;Qn z<%Q+X_t)ueA|fIrc7+O$Q_^k4Yk|1f$}de?xCG6URuC!3(Q1hWN9&rcL09tMt|WzYY}31A9E4ZuHz z&5mmaS(vZT*L`ev6m6V;^6i(h$gG#nT3i25#dC&?z5nwn0iY4)o4a{4S4toC51V3L zOfg)L-!TOgQ8w)J)Lvm*A<{mprndat0*q&>Ot|`D!bdutPlbiu8^4auF1B-}}I zxzk;>i0ze_$?)gZ9LXE!drb~-E_pdXLM6vuzeQ{$S{~&K47{vE>ev64XsQ3eh$xwe z5(DXov?m#l%-9x=p|!6D({H!WBvK-;!H--1bFpah?fh814VXHY1eg9MB-tReS%c6` zgk0!HeGDqE;r8kAxe!Xcnf+6ai` zMD%*yC)8u zV!|mQ(b&42oF?@X=mCJ8Lrm;1NEG$#*&9&Fp20uB6!_Qqq00FA^C$fb>f18qL2^p6 zU4@^V5Xu7d#Xfn}zcjv?Do@_R)}OQWOOST5jw)nBb+66*ie?~;;Sd!SZ8iZ=x?9z> z0E{A@Tv@0TJ|{^?xu|QXBI?sBH+;^PbEkMzcDKM-7|~pNifUL9J289 zXIr=R5K-G`pge;HZ;xV_uqr?$>GZJ4LZJASJy`D<(uORR)wN|&+QlDg1TGSknG3zn z)L_xhQJ_YT|2Wc6*8Fp%A%Pik9Bm>;B;qA~Gz>!}Jl>{c^>En)6PTE-HB^WFu#juCPIdJMuX85M(#yC2Ix*Aiw!w##hs{sc?PA6kBb4)hq-zGsYbSW z%1*5%dM97`WqX`f_FA~gHe7{;p=f^Z%o6x5pKFdEPWJRw@5Yb+O%sb>|DO+p|EVSa z2O@Vl%3UR#oD z)6!0mht^^3!N9(Y#3 z2UXy*G|=pj)=4N&!)48(0{+;c-lwzao_WqTyEOdXuYg*dHXV-Sg+$PS=x8(+Wn`Dlq>{ zq}4+N5c)SL{qG$n6ES^k~hQQMA(BUjGGv zhkF=vq)(m<8!XaG(t6Hi?CX&w7sQ3qE;Z-$2J-%GKdV_6wD1|s|8-^CKj0$&i@F|9 z^>;;*RNvG!8C~sR15V3?!};bt3}%W?G2FE2eK$YgjZI=_de_CWEH$jVcj1M@_9(@W zR6&r$op+Gsva^4zHHoBzgoN~AX!6(g3KC3Nm=EcHs?3Iq+pUE6P^h>2KV#|E_jF-vaIc)t^mA zmOakP50P;0$TxZSzO-5rak!y+2d7+IS~~Jq%@BF0Np}!hUv^pWg4ZoCk+5B-MBV z>HRa(;prM9H`SZDQ)MgwsTFi@;V%`_EUNElo^o`2!)A`w7-EK9c{5-RYDw)Dd&0Lq z*mYvzHrE!mNJ=f*h-vHA1n5*#nKq!2-_>>DfL_Me9oN7{jV^@Z^I{7eYHbD#AD>a(99P}EF z(|zfLfSiI{`*c@3WQ36r1!TsBE5!*Fli*1ag8!q7Cr_mY1l)ZSR@toqgWtlnu;DX7 z8J504x5>yf3E(iY0IJh`=DiJriMd1u4(s}<+BtT8JqAUMDi}xfIg@2}dTEe>3v}(F zta#FY2uPv0xY%AfE-ub6-k!Kw;0CE4KKC|%nW44!ZKtdN6F&09LI9WrC4?qwE%v>8 zd(Z`}h2}5Kb@12X;H^T|VebnH8q>Kn6PY}w$z%W4fJ>v_!Ntkh?P~=B$(d)g?X)&{ zn>6#vy=l-1HVgi{E^1RvEdqlO3k?JJ-o3H;f=Y1#{=MYVVH;D|(O!5>JEM(ifetIQ z&{`H2iE8TVLH_IxV1i1(ksg&3lt1B8lzkZz>3u9b=w8egIi~I&xb#u|@57jMHH3(2Kd_Z}i;jWz29;nN- zyugW=_X}1D(hh#0k)^co@ur3OK&o7`d0Lp--DfQtqWJc|a-sg7!h^fDcX64Ju`e4b z&x?Y{lMKW(C_H$)zAUqU@T*mhd=%`W2VTH55Dy7)=?UTuy zpUZ}51fyV{`V5|IXx#(L6A3P+t2%n^DHD{UMHH45M!pq43vOznZ!hnp{Uy#~XOvZW{zlULb2L)n!W`T^77;ZFENWvY1MBZE zp$IcXa>zBd09%1|*BDvI4gbmr=AAz=T7+yhjCz&l1qRuQf7)^!K3t8yeICVJU!?mv&f#Tp^?hvZOY0;~VsH zh}TY!_w$a3V%1_1wcKCIQE1MR_ctNNfEPtEGM%+n??V^gm0H4J$_MjQqsU2u7MB|p z5`#u5?`ClHMz>HPls^{dT3v!S=QGR_Y&oK4`WQOaC^ zdWqiG&Ld=8xR$U_061jmjbW$cZ)*pL6P)^+^dTbw?x=tglPCe9;?tp$e?XtD2>oRw zCS&lY$XE`3hT4S*gL_1XhUtT*`pcKt%bb%RD0!F6keMekc!;opw;n++$u-#wvNke? zM`~E9lPBZhu|&!*^O!VwaTFEGYg8?x#oVc`4f6$zM+krXPxEM?q}r>C7y|d=p5G#m zT_v&_2SzP4Fj|Qm*8T8| zHQ~Y@bp}qnwyOMTOWIUbMEZheG2vdO5E&(E1~E3&75ms)4P7@FJQ3uP5{y1w?p%6o z)maL!7=)}qoqPZ`f{0RX^yX}rRR8l3FPQ?snvBsKEq(b+(K^^GEc_ig>mAW`{WXT7 z0RBt?ea%uNoG%dESlnRPVS#Z)BM3wL4S3ktJ`nLzGR9M&D*A9zM&>b+TvhHDkl2sV z4|olE8_2?K4kZWDA7T7&IDZKvCQZlyPbOe7X2Xn2AuuF=efbI%9t(Z}8~+Fo71CZ3 z{202JM<5A9P&B$ZY+0-&T>tVtGc;Lb%0{Tkwcz6S7w^Q;Qz&e1Zcc{$3R5%4>k3%; z(j#+&jKfehhJg1A#rYu+4m?6X!q}IO42;~qeVdPr5ukT*cXFVBQSs!-YqCm8g3vj^ zx;AdzY7SAWsrTHZ*)ZzN5LoY4SyL#mwwyPlYJHi*oJy^$@gviI9%prb!$Iq{$Bl7O`wm`U#-J|yhkyLYHLWBtC z0C`L&27b~bjeR>W^N?vdBEy=#WbVrccRqaf>{&NS0WcGd3Xt07>LJNM;p5Ugk41Y7 z;sI-b--RIgGR5Q`eH!}g3s=|; zDH6b3H(wz$zf+Hf`qSgf97eiS$7i8-zHe;#rySPWSp zGGoOe=Dh!jgu|FIgB*iWOu;fc^sRazjjDyNE0F}3!CxOOzD8aKTrAJfyLd4f0j;qT ztQMIlaNtW+Nft~BBPCACMISzpE*&)*6jj&6U@K9rOwSDr*n-oIQt@L4 z?Tt`b?$SspQ#^Zr6W)7JCl;s`TFdb0fTCNdO*x@B^zyuQ>lS8(V+qd0JlzGXKu=?K zdJ*4wXoTs;pJ2}#>DKz=-Pw~?8}maTHK{euI_Sd<%I!IyaiMFD5a1lCCcEL~T=u|U z7Y8QJ@N$+ro=tb_XW1ru(tjRD!p;VV{lZt+Q zFNQQ!o=AELV6Y9fA~XlKwl9jva-wE_1I#LJr7U4KF>)2H5)~z-vdloALZ|Ji))F z?iJ^)YA3nL`LUV1ILyUNFYg0i=ec7CuaxV#wFl9kiY{5a7}9;O8WZT6BT3Z^`6lZY z%gs^<=1dr@La^z5Rl*a%M#fu+A4Bx_(^?y1gX7gp^RtyCv`&2^W2meW?yd@?g8cT` z_(R_OtPK!_EOC*VO{}abz^0aHF@ON|pw%a7COstojR2bZ<0}?s`Nbu7QzmB{ZD1f6 zu!uy^p2@k0z_Cr2=9yWPQyEuYM99G;3?cWz5Zo4PXlPWO_7mX{0gG*rj@kn7U7AEM z@2T#6WY7s7N9Ke?UFiF}+Y)TnY~iUwPjwXYkDD`65JVGTCvpl3RXJ|M1cZB`;8_@L zhC*UW&>&>E7(D`;FB}^0cM-{-3 zRxbFrDe!TJvBk3p1f;XbmH;j{QRn3|JWVo2#JLU}P(+`x1}Tszlx3+HDR>TU6XW;> z-(X^im^r+Fo~t{WN9?lTbcs1M)4Uc2pzxVHhM;(77#7LBoSCEhp?W8xD{>9;oLHtx zkN(^^G;4Bn>NDo&rbqE#K6K%46=Kq1L{`ULfEadaj$|3CQTiyHMP5m72|P6!H&vP$>1}YHN9hcFnF(1J6Mz!m|>sIr!~345DP-tSCKfTFOiaQ8@H? zM%k)ME=(OdyTWH43R2J1VAWI1*}Ln0(iGf+p4 zjCL*?OGy(q}=w8&duym;~D+lu7V{6qvmw#13Z|1hENKJadZ#9Yl2KP#{c@jzOvz#rLR#8tc@soNbExxjYd2=MJ?(^{n7Gk3?m?9A`t)G zLk)&I1iYpkz4bON+s*t=mk|EMlK@P)Bqa@yt~62Odg*V5mPFZm;^&HcJC7KU!his~ zZ}Pke%1gRyd~BLuvV)l=Zuvyp0=FP5 MrF1goxY3pW0mkwaDgXcg literal 0 HcmV?d00001 diff --git a/Fictional Character Battle Outcome Prediction/Images/__results___14_0.png b/Fictional Character Battle Outcome Prediction/Images/__results___14_0.png new file mode 100644 index 0000000000000000000000000000000000000000..7f309ae32a1c85f48ab2ef4dc447b6938b927163 GIT binary patch literal 25727 zcmdVD2UL|=wl#`cYLx-B6fqzeFaQcBK#*XW5fGImSwzW6f=D)$QYt2tj9?#;ef|6b|Qn-~RSqYpyxxT7BpAspCr*tzE># z#I#iM#F4X1O!JJGnC5Q&aRI*L#OkSrFT$2b&soZu>R4K9nO|a((Xuo%GPN|)zp&xT zC36dXQ)0YWVa}JX+RL@}I(wZd9GRYKN$T#7y>Fa5tjsZ5-jdGz((rsz3uBnp39zWHKYt*`p+n~T}_zK(bJ zE9vP4tEs6~WI8Yobz0}Ttck5Ps*Bf`doi@IRcW-ZvF*#3FFkvhCU4?npEJeYcpH$k z=hBB@g)qg5b{|t;b&cy8gT)8DcWWPeF?ztbZr}a&2NYSv$DZpH`-WVfw@|~%d;a28 zU;EPf6+6oU6vEH#zV+*`Ut63xtM0P$F3J$sJ(qqp=9tUsmYzL}6m)a~#V5ZVK6>mJ z&xQ>LGcz+o6(hV;uk?mmbywBaPfc`3t=)a$*OC6_{`3ojEj_hy^v|Dv{@GW3(KVk( zK5>hguD$H3RMJ$)xyyRV<;>Z$t~!ODF9eP2zJ^6*o~=(bex|OGNter`o*JKO-LDZm z6?rb^P}>K$av#%7o65x8)ne0QUvM+GyQ-t2e!01Td;k7(#~-kNyfJ@qMXHryghqyn zjE~^XinXTkIrrEM2U_!If=jESG$myGM3sB%668Gi)LYxz1J%>6bmA?~1e|oMNWQEs z$u_V4{o~D*v6rN7-MS^5^i_1f-AMSc2khLE2DPyP7Wd|um2brJ5lCkArBz029cE1V ziP`aN-+qGAY4Y-m9})`-rJqSSY54j1RX2F-T`y)UKRrEdV{pK6@@kRi?!)sIEGhl< zrxonX{q~&!9{UWdcBG^<);x@g(=GW>P|$t5IBtW>?g>VJmO}c~@9V_-U%%#}W$3C5 z^Juc`7jwS6V%sTsb93|S6IShe=3HYnJHf@Ya+8yj6Dz-lsOt08LMFc6g2tg|15Soq z{r>sxZ@-lW`8#?W+xip*CMWMN@)J`{FsO8Oc6N5(q5N`+Fy|!aq*o=u zz-?+*Nm#GUev5V&KZgc6(ha%y;JR1^lCMo zrUE{`Iv#fH{@S%dCTb5lK8uaiXd6@nKhBQETkDrT|7FpVB~O!*lKQe{rj6#b6!2$N zh>bS9dh}?S&DE>H=4~I=3K%@yvu6)`U4l{V*#yJts`etE%9lqM+t}E2=CElNDsj5T zJ5Jdq=$9YcBIQnR)m0S{Ha2!ulC8wfThu0&OPF2JXUpEbaMB}gkDUVRC?AtsV>B-ZB{xhv(HMu!C`FVNAbxZt;1p6Kz=Qv|# z7VRL6jr-cubF~|vx(YU%5;pbl*q4VLHKy(kjFJ4+uXKvMFRk;idLM21-R!e7hwTa1 zicp0xqwaTZ?%Z3p9L1)HjxtpUmH(JEJXB76eta_^D zM|_%qb)TBpQ0ZZnc)iDX4-V%ua zmBhuxZE+&FI`2BH)wXPQ7}dvN@2ZUp!qyMMb1?Y!>30#!uaBDS2W93jSYS{Uu53Fs zTCvyqdNbLrZBC-CtqF&A##Ub-%@qCy^_vFb(Em%NAF6b^$R}zHbNWb(QSF`t<9fwQ1?~!1c2;)w@bw3-=zV;7w5vHQ%XYLcBHNk8ur~IRw}7Ey zVq0fpS`tMz4l&zc%`C^dBvbz;M~3kfc85xaZ9+q1W3RDwZ(YD~4x1wxcB6_>8X58# zw!`e4udqA@2wD>erM=fBQpOe?{PWvO*3j|qZO+p4cbXn& z^}o4@mFGn2>T4XfUtg$=o=DXDcxY;3xcs%`lcCS|`0J`~NmbwRb?-z>zI*p>*^9%@ z6=~L{Zv2`WhE?GoOJ5weYJI<4#&`cmEpdzX!jGNhL6!J5*x9kgSkvY@?{CXrarR zy|D=r2*TM@gB>M4bqR((2l|q;wUW8MeExhP(X_d5mwj`l!!cKGoYHY@yWZ^TC{0r? zFXXg3=cSzD4Qdl3nO5D3oAX7#zgxlVAU@h)am-a2Put-f&c3v~yu2UBP5#WWwQ zWsG=de_P0DUs_`%7>B&Whz<_kE*GX45jL`hlN0ZX9N8LjJG^6~h)CTT9cAdhbkHTgQ+o`{B;;C%hqC@Qzj7>B{WmE`T zKK|~+9-NS8yK_BpIe6KZ-1|zsgXYL(0YM%?v7O15Lu z#j=FS1wBYbd^u*}AnobgIrsa5iKDER~g&^<;Mx`2=C*J4fnGJ-FYEHMYkSy!Zn&Fcau^)?eoF3P;>aDA6iJe3q z50wi#mFceP>Sx=H75%U%%>Eb(S4PR!+c@haj*6zBDzN zAfg#GB*%z~iLowQc3z?o=UlFKBK%y;g~-7$r2Ry#%20*0&ut%Pu%s!;$-&q;%-J_@ z-fZjd?_Xvx@a3Vz^yw2PP9&PSS?Q_%GBG?j_{4JelD6aH18wX3bd7^GZHudsqpW78 zMrm0G1_$L3&ZbH$3;dn2U?KRV+V&?N;*N}7A<45yc!LQ`lt+4MU*VoYq`mea<5?zC z=KA{a6?1P?e5P8YcHRSo%dB{_mP3+fRaCrJ@oR)5+rH=6`s(G&iWi3$B0-)-E>TRo z(!0-L!qRzgy#<2EOI<&kV?IKrRWaImL)i9R2>JwiamPWT)n4U$dTZm3OS$jJAMreL z{J7NF#Jo0x?juzbHsjr!lC+dQcXsMal=PO3t2-8NWLo({NA#S78_h3YK7**S5(!nz zZX{SSLSww>g{@yb_Wer&0=DSP3CobP0hEtBGZ}qy_&nf8o+-R!#G)~h zE9eqFui}|?QwT0sJWn5}rrm4?tE2UyWZa$UktRx>?H3XF9&s_Wbp0Jhys)7XEIZEv z$<@@$_=}4*JM`DaZL5!NOtaSfo)pd_AN(8;8Y`aH@|IarQu3svwoR#b+ih67)X4 z6{qxYtLZqB%ofS4$$@(g{j#Ub?ZSad!zlq3c?+cRwM?PXQM9*DKPxAPI3x=2U+cu# zd-nc1Aw@*jVJw(ov9EAfS-`#a;%8yo{H|_l9yF?net{<&u=)6d;6t|-&7T-}j-7i_ zN-FKMwl}A8cSlo(UEKXN`*UZ;V&}b)U~@h)_u$5pva;1qGYm~+fIkpRSc`MQm0p#d>Z$wclPO`cZLwkf`RA8N>fLxF%l$#7h$<5(cGuVGsDB?& z;k0Ag{^JPMTVtqUd+eS*;1CNHwrJNY@e^CS=i+Zu_ThGYDaTiAl|F4`6fR=j7Y=Ad zxCs@|UB`*eAp4>y1g6xfk$M0OPK5bW1o^S0&BdgpT}?8E6%lV``ZGrTrlK>Kt`pR2 zFZ42K&dflByJWg<`SKUm%??V03PR;WUZR}-`rts{`@#@jsB?mB%63QUZFV2dU6wHRqoH=ts0eh~O$o+85{&H0t_nhb33p!(`QGW+& zWZ1SNSz0CAr|r(Q|MvUBK!eKA-0bY^ir_QZ(uh6vZKL;7t}4$U{%@_HjO9}hztVGV zFDmsFYu6e8drA+s7Zu@J+3VUXOl@sb*9e=xMqYY(+1gs@#fuj@UrS#wd&CLldcJ#i z#G*uObhW0Y=H|{&k1+{{iTE}9&7LC??Z)EM=j!y-#MHV=M0pHnRiGp{=u7S9TY=2l z(9j@_M@q*^=Fp)V88TIaX5(AFDn+V!^~Qb=Q;HHq2ol6y3vJxEu^lHvNXmn+sH*Q| zLVE&>w#zuqXd&XSzP*FPeH6MOs!5SH-4RJWU-;FM&rgi>8qS?J?|zX^!H6%)Njt!@ zw=4NI8pb9jyhW_KJQ1~<*v0K@ngS8O+5tiGyAKJq9HI zqPMpe%Q!Qym%hJNfW0n4IWG6ekt3dfPQpXwI5=N=d!HF=2xlCU@s1bp);Vw^l)X~doJC*ar0)})G|S){fmjlYj_GY7V_I~ zKW5BKGftj50Vy(Y2eIWd<9lgw~y74^{X-l?q zTX#3FPf>f1IZ=W8@9aK?x=8WFiQm-JA{}N{UyoRZ$8`>yub7YC;@VMm(W|GE8q5m> zMh~Co{Q*pzE1x(wP{OH5A{DR2y$%fI*|)F4Z+Rpue);111)Uuo$7hMg(|SQCFMnK4 zpYyL!lCz)o?=zbJ@YhX>`SATuI@MWDPFuEZlXAsoW##1TZ@tTOj!-Jon|#+NPu!k9 zZ3VG;ZW(2wJf>ASM~~wj{w%<8+;0#<|??Ly-G>}_VJHIs#)Wtr% z(hV|RdyYPS{MdW{<(C&OT!=TU=5yng+p5X{lSuR*s(Ef@F|FtI9LzkJ`t_m7NvP1AY>8?V$G zyFUFgw!_541lcT8{OCNUNFHHfWk9vrEm^?5$N7jK7*GIeMVuN3&wKaoy?pfwdB4uE z%MN*a(N90kvaJD9Z0q-%eY)FQ^6WqmNEhc>R(xgRrWG|HKLTA`mdu|&Uw8@2qD5zM zgV!1NU0f?|2YFB6>%xvLZ*?ZvPd3FlMbmn1MzzyYgsiVNqNZPC=|g>xVz@Fln(Ge7Ci9n|A}7mf8*CFI3?E( z_cv?i=jXe=#uDV@oYsbE#3ZFdCdypJFNEsUH- zdX%v>CAD*1z>1r_82X8>MCjz>MMi|rL2XvNI?hrVt}G`PDE%1aNuZ36yEdcVBuxf| zy8>8NK*clL9cUTf+&_D9Zaq~GHiJ4xj~}mh2F0*lL`21~Ix^#hgCB5wNJt2?5PiaS zqoZ4+LBdLdTU@kgk@;$ll`CJrd-rZ#UB}->g@b=Y1zzqw*NaZxW?oO+NUiBY77oiR zlJqvy*Y6fyngY1m3GhnKb&2fBlOKj}Y^n~EWnp=!R&r-{JHI`9aU>eGoAmPK%T+S% zQyk8LoO9>bjNB^YeJ)UT_JVdC)nW1BB3c=&m>fcUW$>BJ2FX*gR%>_lbi0ff8n#C1KLAABgc3*q@UpPP~`%rz`rj1J6$KteTqd=g*(b z**#d_#zMf!Uu_}tm(TDbAVjJ7@PCMq`1k+XnQZV?XYvhmnwchS#03JMM_jxqpOwPM z`$Ol`@^N>(+}!!Km*^_q&-phGQ%-;MoaD~$^9HbkLZP~v*iK#(1!mx3zVidUF-fcV z@}KWY&GHAPYwLP?b+gQ`{8Z~Jez~f}DXem}(6ojwa__0%IsRqk_8-3efAbLk1!dh; zJMROv>h0UNBv8G7e*#5g%iZ1%)Nzo&-s22|HvRZH=id5URD9}!K1D67)~&M>W22j7 z8hH1wzy$%rs;|(oKH{iUCK{_2dF?&kTc1=7d@P@K#n>*brsf=InnuUw?CdYMcd#%q znLViHbSSOevVXr-PsNs*ZK{#tlD3_%WS^Gzwg92}8Idm*46Y#F^t>+8S>ZQsAY#*tS!ww1MezjdE4sF?L8bSI~4 z?n<90xMiZQuyT4?OIvTCRdq-&^vCh{>L$cJxEeoI^BSQyLJFsK?i(#ILb*MtVAj>hZ|z1 z;m*HB4I0_5wAcrW?^XyKRUbwW>zSzzkvk4nK>>u5+oMO%t0Gi8_5(94>`0-PCifxz zCzb_B6;xI#05vgZKXG+k$H-#y zaNL?cDl1wW@HRm_3ZdJ#Zq4N`_>n$JnbrZp7#ejfiD{^eiMRk$6r*{r6)J=I<#Ejg z;H*MGw7l}rbX11$@)GWWP!eFK*BPNw1a0HL&!SyA0F);e*AeSRD-TdmIl>0?0ltwZ z<_k(f!i($Qn5K5<(4j;v7O|m6q;|2_vq8S52wsQ)0H9U6GUV_kTJujjhyF=eyW8+b z0Wmo^^q&&F;fC30VV3&WL|@SI=mfoU^mgK;WONknZP)d9RMcz|=~{H<`^>u|1(mCZ z8+j;ZBumCP|NjZ?{F@=_pIBSuug_J5se{9=hg>A@i;8530hmqKZxSqc-yZ?pTMY<0 z^no`j7#kHM7JZN1n_1)=1Dc<`VK7LCXb0&YwP{Z?*|CXd2uxtavE z%0Ful8 z&qY;OcXgBp%6$|mL!-@3&A~adK#-kvdo<;IC~O}=Y%Nal<@MR6bpsq}0I9(c@`*)A zPfy>6)4*PzmzT#YD5!`+MDgm?WbF5V1xwd{1-tETdAYyt-JKP~_}nnyhEOm(!# zuWA21XQ|pAy0Q0sB^}XjJCw^>)Dm#Q$tE!{FyNY&mUg%vkZz^Mt(ktTRb9GG9KeqO zXFGHcgwhE0G{HRmsz~*)SyAoYojWnkF)%G~@7{gpvV6OqKe06<6 zawRK-jef_vr*!*Iq$HoiaoX7pz zZ3ho{=`X!v6IQqHHAs+72=Pc6SY%`9`{bpO;IY;W@dWj+=0F4FI?EMU&hSr8*9DpRFSN| zD=_j#2?>e66w7nxCpJVbv%v!aChhTF^g$-(Le5I?*2oU^&ajdgKyNcBdoB5(e4l>V zyB8T;J5>`4n=-+ip?trh_r%*f6s&Vc-8QsolCDOAK21(D4&!5EHF=jV zUi_NYpD73KZBf!&sU`m+usur#30Bqsn5;N&2xnF?`IE#lyB0&ORHA0C-QX5^t zwe{Z@4h#~g2Ul-XhALtxsDj%NZPtr1dg3O){mMftIJ9#$U9HKg`HPH{?Meb= z{Y_?;#-hCGytB=(lms&3ba2|%f|7QJM=5wdKIi$@#ZH~fx*nh2WDGLOnuGYJHQ$z- z54W@{Ja5)oci>7mVo=++n;#JXO5sHu>UWw^)zHvbD`?~i7^bFoYqm}+3OsndmkdRy zWD;9YD4&#(apM|iFuD<*p> zBBoxU=WfC@q%c8&bpEbv*GNBSny>Wy&B(hIvU=D&wmmUJ9q97 zbcJq!vx#rnEQ`}l(OV{WuGC|xfBwtOiVQnz62PITjI&B2r zyO7QkTYz`vE?oF5z&5+C+s~gL{Pyj%fq_9{OPY1R;`#HR{^KWzCXAu3uqYleF?Cni zTrEGnnUnGD?cy$6`ioVwNKz;a&jq1_cjr!-OCO$oB;O#sIH-(|g5@Uf*W$EevscQ^ z`jzJ~ZBu0Yc-vtE>~Q_qx80-Qo~m zc0*t;Q)HHutp2B=1x(Qo>=z~u4Ox-{QZ>m$0q3eBTsf}$3{Xk(bz)G|=Q3?rI4;gr z*4U_y=n6YY?r`wz%6^-{^4F7&#-?e1X4@&>?LD@1WlS?s2RouO5LfEbtfPQc-q!x*HA!Y@8q(o2@hCx&a zsqHUke>i`M5o5H!Kb;ql4FYd3m|Mh9$xP4;z-;AuI0L zgZHS!qK1$GEDieDoFmaA2uY#HEj)68E`Ig{k`P?`QdjAQ-L zw>~+<|1&Ls$uV3W+*ITNM6S>^3$~v=`DR~GYa^eHwxz}p$cC3!YlGrE1~*%v4h zOiX+qsyPx-4(Yvrw2|x_0ytdooQBv8wvT+5m>PP*1KI9xZvjH1xrK!s>`Z~Do`vED zAV*yo`Cc9|GYVI#6Wk9!OX?2RI_1X>S7vTlJ!s{HG|Y!-z^3H1>ActrXsY zje~S#l}zt@P>Z*eBXQkM;95kJ%d6Yr{l0dMX$wqSB7~V@*Eg+Rxw3Uv5mI+3^y5Awi5mZuNjKx875gdHKmQ9A(Y%Hqr3;C!H^lWNMu z%l&f}X}^FLoB!XNHSn_k%qaeodin!6IlR812QrGqBq!5s{d{T_G|!%&(Gl`*@}7Uw zIr3j#jF9eZjr}Q?c%3+@_kjR~cpk0<*i>VW=@Q}L%eQOSuDqE!&_0NVJOxiUT^mz0 z*Watwf1xS=2?y|Bw72}17x{M!9{T==L=>>W;C0{;e3Av1HS$J$d_3=|L9|5BCZg{b z>B!+uUJT8GGND5tyvW23gCTkZ_Uu%NKS73Bq@;Y_Qx*^^u$#M32<)hEq~P%Bn3=_u zIX3YBG4E84J+e;7L>{dD7D>~LVRy9HydqhQi;F9-bHS3;8zjN2Z~x2hZU5PhG9WKv zm|d{zYos#>6?)LqgwmU_xZDB)l`XRy=~l#v9}>ZaL8Q&q^7QfX!Qpu7>3KDq0k+{k z=*i^S7r(zRH;+OKkWu8-`V@U$-=?{igo4HO#C9#BeqjZjnEnZ6J@$V8l;Qu zKoz9ef?(v*2h&J4!iyI#Uhig>6d>XN&!6=unFDD) zf>`|mKd1?kf&&bv7Zj$3WEtwLaFoGaATezEW;dX3z=z}!_$(>c3N(3CMrmroi&kinMK=Ov;ToHMzgMN{3}uUT!e@yWJYR$%1*^H(9GrS=H7yT|T^}*&vR=UydXb z+P2t#o>j8`wm*wj*@;w;8PeIvvF$GOs-?GF1C_{X`r#(o(cJoxXw>IVC7ecGGZ z9rW*BEXAicDSrkh+~nZ$8WVG{_Qia&NtACt*DUJ#M?Gu*%2mqaTmm1Trsk`Tj%_$K z!#%ZfNUuu1?cfE-U)qN6!;}iNV`K~@iX*^o0!cCDloVY7la12FxvKc}cn8K6AUJ6l zs>@K31fhr@xLfWkW~Uev6JrY_WmHWcRpLOLJxRzwt8_Z)*H3SNth<39zW5ht4bnp* zGJuJbs}s!MSsy`TSY`Kvux#Dmcx}!+E=g4PN|8V=9#rYS2l}tU^406ri+Z$q>{{aZmkZUFzAGFn#%a%O{ zgwTUaO2oYNH{`HK-TSCv25o6k`m?9kOyE>wwjg;j*d~)F6A@>+RkEp6LsbDAA$)?v zPjgXECN^$ffx`~+BrbCsgLM=6 z9S|7E7Ag;`I+wcWC@mYV)s1TkObp!p3ZS-NPJa$eV1UJg$<7V#GcuSiW#51Lq4-2F zP)uih+bpmM`AuyLx(rMFA^=i?QR^7MQEQSlb!C>0`rg^u35LQ0y#R)sf|ow5q$mTK z)s+hl;zNYyfXTL~i^gB>Ye+%g%vqQ}hsYEB>CJWKDXLkZ)7}v?a;2vSe`>3UIMnpq z)y`U*kGT+iV*V@;1S|X#>RN8IX8zG3xpPEZhHcPg2G^!vK`3ZCIEq-y`B@y zJX|$Z=zjz~Cqrg=+pdrx%du}-4$!t-U&Gqe2+RutwhC=xmT0&l{S8J@+b{QpOjEZI{bemMg^pl#prSub>24+8KnZA=DN;041_hg{a+Vw}Z>vEF>i4fL>06`osuk zPVsOwHAGO<9eOtWX=;uf8alAe>H#c)sadE?dfinzOx&zu%Y)j!??U||yk;|i>ZQXhd?^_3j zBy!64@BA5?qETmsqG^LU8^1$m1pW-s;mc^FK@oS7dUOtFdE6F|9APMRSwjJ!%bQxY zcCB~yESYgl)WYEWI{3ZG+inU@A-#PZ#>OtN%4f(7eBs@1hJB_KF|E3uPF=whGwfS| zn_}YYsJQn)6kKUnQwD>zULGV0LOJz4W`Co$YCsZlv3(vQmnD!5#Sb(kqA#O957E#N zD3G}~?txFn*(?OTfp6cEKikg&MipU!XmT;^+Vw587nH=H(v{%~aeWOwdpnv- z5js;&d4OPtqy*@t*YfrjdN&KJ`r-D7L`1J+Nl{BQ@|v8SBo^23+-!bHzVd(8Td?Td zL|b446j+G;`Hr{VqhJdGH#;JxgY{1Bj!d&`FI?jQdoyZX1qdlWuUG+{dZQ%$i1r_~ z*OILj%x@?Ou4p-1VpmG5vtRx3`1-`!I9*;ozEePGl*q`3h&cX#fG{q7VpU0usYq_h}U~ezgENB zxOw<{QY!~~bJVtjfTPNs=jT7_o;O9m{m)MOpVbx9!Smudu1Tfj=Yd+b{a&WG6*ZlRt3@zJ;fJ`SfpF63s< zUw_jMg(V>Ie;$mWx?J$WyB{HVl)wpeDh53 z6cCjzI-0ykV;xgu(3-tE?-8hKFRc{Ob(mgOGoS^X2soh%-pIYQNF;EVzoLE(hoiiyz5)7F=T8|OXKU#HQxUS{u`=P6Zaqoie@80)x?g2 zuCSEDrR{F)zgBBqI(L@ow7&x)df;tZ$p6#Zsj8tccD0%PoDcTBP3+N%d zL;}18Ebv?K?_YoYA*iB#2N?7u2|kaek-o<6o-z|2VX=iCO?*zA$D7nMA9(O6oCK^T zW5htiLd`^t+5|_zh8;NRl}VVGNDD3Lw{DM6F#D(5`H2 zYn!M=9WMZZ>u+@8r>uz1#`7#e`U7}X4)c|pgH&}=XYi{ghAT#@k-$@~H3swW^zJz+ zh*=Xzg931MkdTGYE00)UH97WORHh#d&G_h)loa)9k*Fax=i9dp5LKA7SM4~rfs@m} zTjhxxmFvL2%t_#&Mbg53J_J0RLhMGZ(6Os0rNb}HWU#n%Z<~L6nH5rb8%}fAwE&XC>7`XE*dYH;? zvWN$xM`hJX|M{1vC&$+%_Ffjo;>ky8sDpX1`f(@rr9pM%Gakk8uis?s;6D<3Pw9`) zJo@m+xK(eOrH<@vsb?5h8&AeyqnguT7Y$&70q@_oYi750E?VVJK-QoZ>ca;M2S6_K zii)a1bNP$l$4CxuOa}W&WHJm80_g8Ea%f#Cz2fJe;m%&>e0~Ct&=8+G(k5#5=^DW7 zHYj4Cl{-PnE5eJB@i5#}KlYIG!-o(394GWi(`}xaP6A(`5GcJSV|t>Sd05(W*DuI2 zkKtxGbolV_P`NDBmm+a-!z2c{Ramz8@Sco?23lz34FFcBK6@H^uzUAz*VkA_bS@r4 z5TG6<0lKK?^{7awsfnak5FTW63NlS9fI|y?Nd+zU^^v`47Qr9W1+Yl7y@bT$q9v62 z({Wtc>(Gl$Z565b(*{rmlHUNiwEEj`YCcH24(K4AsLq-WKr3Dd+E}pJACtcmeytLX zK`2dO_@hdFLr?^VaD?g@?>nP^#W$#rm1aBOO8~mKbbUrK&EPpT++rW#I4NW~PEm4Y zjKP^tKm|0Zo4>z5(MW0@uOJh7AFz(Z%JDOz(Zqt@820rjI zuS-&ndWd!=%A3TpgE6th78ex@RD3*qe=I;qNvYbX7nYC!Fz6rts5iR+$3O=ga5@dN zN>Yn1=o-3Mdhea=Sc-lsc^f;)Lg#1gasQdgwKuVT z2oYDLV%@4$fkI7J4@2Kh2HK(+Llu}%`|lru!W;x!hcf+LT|b*0Ib0=JS*__50hQnb zjE=ChR`F*|e%=*z!+zC8W78dA^hg)Se;oGTegP${2n|;r><{(fpaC6DlkBGI%BKE- z)b*ZicwPU zFA)2?_UaVw%3WQKxivWG7XX@!F!8_yi=u=3)Q2_S#AUY*9_=yLJ1#E!5Q}v1iGdKL zsHln4sHlit%(j9W>Ch7XcC~gPghk94 zK*E0V_^}p}gf7+Aaj<*DnKX*5SiW5A<;#~n4yZ{Q#>U1xX~KdLIv97TC6}&5BP_}R zPmna;5H-AU;cFyy047H|Y1l^`bc;B2;>RI!%4OJEq2Gg(F$Pey&f3~~#rpNe5T5kl zNHD@ylmXi@I5nx$Sry@itPY!+R^7J0F5;T4WxG+uEM(@0}-A6 ztmmjk-u1y5_k#P;6JmAcP)}|75A)}Hp|!yCpl)DkQcOy*i#iJmPCFh!am;-#xlnoTz394(gVr$!=gK-5(g#s9tks@Q5=XoJ!`#){Fn*s$ z4@x1na3Qv4(Q!_Pi#KlEaN)8*w7^3GPa@FN)YJ}@WFIhqAT<&q5DO8^C`m$;%q=M? zaaku++|!s=jXy%w6G*q`F(=26hSj+2ZpQ)L1yn%`foT~Sa*#0phD<2~MKX42NkK<3s$vt2RVhN7RS}M7AsX55qc3J^?;Fp1Q8!V~ zdt!fi!D&%62|yxrA;!0Tz-kh25eU02wIyyv;8<Jkd#0S@7&_o61(9m=uqs9z@#iosSv!7A|?gadDwmprj+YI~Y8 z>eD9&3UVQ2wb%rs3i|2CA9q205~NLmick>MwGQ^M(5K}E{)mQZ)0w6&yJ=R))vO|w zB=lbvQJ3)`nq|EZlD(0ZET$)Iw55NSSR9)u)R#VZDh_QKacI$}O=MB6ZtVptWepuQ zduVUea;XCbYa}yr#L>f}TH75)VT=IKX+D2J}+no84qb73`}E#&}r*e4`#7-VOJTN4h~mq;=lpD z?Lp{-IeHL4=0L^IYu0owtARvsgme9+R0qK;5S1>CJ^2Wu=J(KoS_tuWyJ&iu3~rki4^w*M3GKZCD$auBgbvZj zNS(^@7tkc2HE;yS2I#R-D-~TbMd?5mDa8kPqn}|y2Q}h`t0a7Q9T2bvZO3uQ$41wC z&Cvrx@tq#_h?Z+19+gp+zq`8*mlupt?ROt$4-*3N#>9lR5I>R45@&p{^&(TVF?TUsVh!RN8h4Ge zs3Sesvj>+C1h~(Y#>`;x8_;AQ2x3h*vB!lrCJYZ*Ci*IZ^wpZD6z$lon>& z0NO{hFc44g2L*Mo8iu1!a<+APlvh6ZJazjrreFj^Ik09B6G1d$ICWFXbPqeutq-`~ ziLep~kf_s?Zj(cFC!KPy6RYnf|5>3-#QB=Kg^J+rn6kBio#B zKRw=&GUD&kkm%1hV#;PiSm7pTdcs@JpmedFVCQUS==PiUITI>aw- z3}iw>&`9=tpa?>xRIO%Bjrc&x2e-J_juYe~;bxSKEv44Ty}dIYJ5?23d(sN6A(f!@ z#CZgfI%dWRa2PtBDHSU4(e)%%YuN3qza>kyz@RoY%(TK=qU+&&*88K#z1dm|m7Ndw zVFm?SmVu}fM$dqeg4%pwhc2)h0ATMZtiVK5K{wqG%zFAd&E!DTR78IiVWvC|J82l7 zsu7NRjRAMri`jMnvmEBUwGrE@Wtv(UaK=%(Goq2YxKXgQG{i~yS5H>7quxhilm}#} zhKmAL(*z?2$+IYiNWnxI5&Gxg8O(}7Lj6?QSEiqlk%6jG>FdKYj+S3be<23eG_?Z(4qTtBY9%zJOC0 z<-?CSgb^ZN?)J|pJHJ;MPH^=oxt*RoG$jGW6`!6Il{SBT$9wbfkz+su(CgU6Ir*9& zq|`Cg-P6;9)@Tn*u5P`=$VUeN4YHeZL>U!poW>g8U%=YB*97E)?a;^Ly`zAlXW&7S zsDJU)#-{hgjGbuIrS-|AA;Y6@0Y0{4zj#!=p3>p-1=Ml!6=>=sNQeXs)?nP@Lzf8l zmr9(@ePSMvh&MMoXii+zy>+dyuuxRS$Ex8QWTo|j?pSFLBc+(Zk&#RTCoFXA!g48( zy}X`&`!64YjlX2nTqE;Py-^~&^QE1m04&rJMT#0tuA$~5OsbMH7oD>|NPJ*0(4Ec3 zror4ipe@atoUKSk)j%Bn58ZvI=32 z!7(7RYB)Kg>L-!fXcn7u^?T&@c-;~XXO>S={@obMQ~6@54bUV2->)m-rS9jr1m(0V z5#;P5KN^NL5xp{u!40f;I<{w}XJjY@oMdI}G<@~tEHxdXs6kf7P#`1YhU7Ew-98%1 zsfN0|w(XlnC z#8Lys(dmpWNhP<#`K|eSQ_^^~1kNxA$u;sd8B$*{}FD9fr$w0*y!)f^6wBUv-kX;@VA`%+h9`btYr?^H`Z zjjBFjVImCNA!;e+Yb6}h!E>25&x)5QE4q-=Mly`DrYFJ>Scu4(Wu914)!-L{$XJ ztdlH*W{ZJiF^9Zn?kgft(v+YP1~yeeVlhl<5_$T-g>mX9+6MS};ktT`+Cu@`E#HD{ zvngF}ksO#zN`}1IF+glJ=WtAD%#w$OZNB)9?)ovGkN8k*==vtORA`)PlOt);)R+b#MA8*JLjX+^(snDKuzi(S zBtG_O9!-AYSP+LXFY283->xIzD}2gaY`8ucY5|7Mw1HD-_y5eDrirffUv%`8caf*W4<;$1J zMMy6IYqO_Xe2@ptO=u6G;bj)=nh6F9nEh}N&V@=Mib!zE(#lvvumo@>E-Mo5B~+Wo zgyYu$SY%EPND;$C)0AEwz1OpDS@Le$k(5kPfK;MGYoFHJ9~=O$s)u#w+`U20E0_h4 zkLyt2V+u}KeEhyf;7J?X2xs(<;0EdPXv_p&%9`vBEYO81L`nVYzk-zs81+>zsuW*$ zmyJIXQxpx+89?s?a2o&tO*k)8!(muqr)H)aO%sEEGZKVly_4p!Ep{{)f4}v(0J`i! zu+kk&fLozhPII{6$c*J&4J0H$F*0Duu*`&HP^*CUvS&qP4t&D&rx zF{ICEn~B5RjALY@)P5)yh`usCfK!!J%Mfr#UL7{16GWvC-1UQb{OFM*Us3r-_vaK0 zpyy$>odCr#y7SkghS$f`>G{)3Ut=X`l25JUYhgoS{;4Se=oom;XF;dS!;nJ_21r-> z0LSyat=&~kGZe7-OS3TC7FviZS|6%lGl>c*d3zRfE_Q09pF<5*O3imcezqrZJB7p9 zubv}`Su8ay%Q1aU6QHOY4*Xl(%&)(?!PmTf&z`f?>H!Jz1-R~RHzkcTi1I^#ruFqS z<`2(R0eN^Brfuf=STn>}|3%Vv8ppTd})lwRWNQX6Zqf<=mFX%(Uvs3q+ zZ$NT_-#s4HpZk|F+x&rJ!mS#=5IEDfWk5nGV-4X|TsM|^2a z0F)294jNC4iL^QgeppbggeXDS00A`wD>*@ZE+~0)8PdtMAP|l~S5N?hPM&vE$Ocdy zFnaoupGG&HAdNYr#|xLQ0|<=yk(b{7`V-B!rK!&}l??SKT=Kss@VzW=ZHv=Fe4@@-vBN@iG67K8lz2)$dg=ytnY$f1|nylsXnLZiB^8I!N zmR?@R+B^5M+yrq8=yBPfwo+~W-%E&pG3n*}H(K>g)*^AChw@e&8Z9=IKrO!JIVS;_C2P%%=(ve5gbf!613n){KVPvPl@SxATql&=v19x`ibVI9%%@f zb<~YV25XvZMF9#skr(>5mbkLrTMefvE7;e9k?mYxqqqnGnM_70ILrT>jVB_V2ICw} zFb2^{KSFsi42nS?oTs<2MIeP*lv4QL7A~$6t|SG3Kstw{i$12)n41~zG&3DmHIHd* z)+~HC9X2sNOs^vajidzQbQpA}W>Bqm;p9~jqCtov^DZ3izjATI7J+G1_voAuPC=5J zohc5C^zKC#7*xt7n7`$|H>Sx#Aa04DxKOc;E8c?$$6x!TEh zL2?2gTx;;{oPvlGeL-8B1{tpxHa`MVKmh?2HgPH^QG{uL40VSLMz6u);+?&lPw4DE z_&5oM)iv5=I15XJP?<*KbR^4YARSVaKCTv0u^Z?oqdWPK7kB& zSu#VNC?sLVVB1Q}!w8?#t<dWjjXauCLs)N9O3(%5*i>19!Et*(bzRm z&IhC|#Pel9O(^z7hl!RF`}SrY4eLhh2;qF^4C9oamMo!Z zT2Mpm$z2AA?ML|4*z2CcYJe&4r|~!dJ*krzZA*2di3EL7?6 O^604}k%!LT_ zgoI2X!zS~&o_@dc|Nq~!-m~8KJ!_qH&ROeNgzV?p_kBOteO;gHbA7J+skWvvJq;TT z3WcIqRk^8)LLGpw{pbEU1pjkbn2!wKB-|8@-1MBR-8?N_tWX-3ZqD{jZuYi!&Uje4 zxY{~7UKP3~Br0&m#?8&y^}4XI!+*R$$jRlt@KS23F>)_w6=PQviqR7J+J}?Lvqhoq zs;l0V)AvfAANKT$qwMT0ky$0C?uBvRlWQC~qj#j@N$W9!Zazx{(?zw4^a^ndHm+Na zojDNm62p&UHYA3J2k#FTk3JeN|5e3E_4CLDiK%Zynf-a8{$Y<_Ecuy|Yhqo~I%_(& zq&?+3B08%DLoHA4hoPX7ui2&3B0mI$hMu89emH+L8~OH*JD3Ui{_1A*-xt342NnZ` zx_wLzSs>IcE|q=oElBksFY@c9r*Ltk_FR9VsAc10*@W(CsihCcu|t)G_F_pslv(C! zm)W@2SMRspDY+;qDcO~Sl1(|IvQJj3%6UxQSb)Xh>zlFiC`OJOM#FWU#P8&d>8vOb z*PmZ#N3`^oS}vqbXM}O|FdLd?P|>nX7YFXl84m^ieotLHizhIhIFT0}eWb!+2wgSe zLx>kN`RU|3@%dmJHK(HSS-Vb)y-h-IzgWoA+7w1Cb00yJTFXEAW@1o2OZ((}{apDMMaH?keyE-Ar4HPWQbT&Frn z)7@DWzUz+lOP@~ddMH0X-CbZ@1}oHs`g*_&g-TzONa>JGxQ$U&eJZb@aKP-7cUx<# zuCw!-(+thVL*6$yc4o8!d%7|dC@{HX4;fJd3 zQBbRPkn%myaI=_U3v1XoL z%60di7h2N1O_%WXj>g8X7wXr|KYseecjJcXwGpo@22N>#h>yAsU%x-yxH?qjMD7gS zbrrSizh!9dox^Pl4>9qQW$<971AjtW&f~`ica{@~`kI=W73AwBQD$`>GiyUmhWGAe zC&KC~b9mnjwVeL`{!#5rZW7bcqZ!BruzWJb>kBu3+mee?k~Q-%RgQ%++hdF_b;G-2 zED?&dECSlFG<)@!YUeTA^@Nm^!p25m0rg`aFbrE1hd>unLSgoMc@wWTAw zw9dR!PH%PKPC4hbQVWF4YNv;sh$L7Rc>f~3&|&|L$poLN6wlQ;i#^QP*qG1H*Y`zy zR&8?f^7zl6SBfpS?L8lP^0NHXr%w|_?c(2>7h89x7XEBcG8`fkiW_G4UMJr0F6Bm^ zK56iq&s-t4H#hR@O@JYk`4YMRX9`>UiZl^TUxr$fosSKfZVU!lj?3Fb*y zO9lgC9dC|WA6*4UVYpQY-bQJ0&Lrw}wWyhgO!CpMC%S9lO{vV?XkCAo||72hHrHN*Q>7 zq1@xWS~3);Q!)W>kFv4(^zWqnhBar4eb&{bJzhIkbafZD@yY!B{Je4#VnF@b7Na+} z-}6S9xswb+x$o|7Z;&d9o3n&a5>~X~&yNV~&{SudlggEb%~}3EG1btfvEOM|n=U;Q zG^sop`|N(2e?M_P^pxWzd3pI~O<{~%Rr4eDLvM!W^R}No4h>CR^Ot%M5U|l^fgaj@ zk+%Ke$)y!D2SvB6uVE>ts-+!+}j-c#u?R1O}sw|J{tnX|>Z zY-YrFv9NMycWW`h@+79#EuVWMENlmSc2WOAs_%ltc*7#hO0SZNntF>UEG%s3;ZZ46 z_v?yk&!@;!TDF1B?4Ey!RRi|3WwDGmZcYe&c0Xi?2iHq{J=JGYKGI=y1KEAO-%%c#h#pqy`|$8g=oTH zxvgHI+1A>8XZ7NXAvIk`$07)HIpBrHUxu8dp`p>VO^c1yoeuzKZYq>;=k8stfq>;3 zgcm8|p)c$-RaCU~^a*qz#!n*q`)~~N3VIQ_-A9w)Kz};=E)b$fXjJ|1_)s%h{ z3WaPj_nw+lzu3H-jyln3qwxKDSz zA9d_Zm6|fUYi^#3E;7wGF0-Bi^QJfzw?uz{`_aL2t*uw9>RMapF0ZWYG-FIQDRX(? zPmPtMIO6onP~;*rNr!<_MY6fCL*c=9)z#uPrbWG}RlN>`wywh{3ae{2D*dpyw~C38 z(W}8KCkqGfU&qPLt(~34{T>saW0rmDH=AX4bsV-}9jyQ?tXPLKatf*XEYwWlD}2`m z?swL89IrodVI6&AXSH{#K8p6ikIdQ&#F3{Xsbz(-UgyE+F=f{6ww#iei3Jc_V>|p9 zI)3(>IFZJh!nAz%{VXlL68G}uD?Hh{%=UBiSgEMEl;q_*7ZJsbaZ3DnhZV%vssQavbU{ZtsmRc-=R_HmUO~sNl?tXgK zO@HlMI=F8Pqs;c3hP_>1%C7;vG{5Di;2xxgJxBd_LuiqEb!REh&E%z_H8r0HZmfWh zSG`V5jd=3pA9^+sl_;6rYCe8`Ql=uU|8mQPL1JJa`&<6JS#ac^qBx6Bn0v`>Y-}KC zvfOd_I$|PhqS%*34V&2BEdfD6(qw`~QJYZRt#eAxv|U_E;Yn3^E#2{l*oVB%XMI61 zAMeQvs9|NQ)6mPS8Ze*e?RP=F9Xyhj->M%#tf_J%n|aQZbxQXFialFQCa_C-Ocz#- zAP~TBu*UuVRo9=lkg?VN2vFb=JNE zhh7Dwq0%$X0#-ck4EtpkLN)n9njcryP$7h>831)<9Dcv$0+W)Q8jRP!xkkaZr{96# zA7gov?W*-Nz_}xVd;U_J(^)<%?bj+G*i|?VW3+B8Jq{GDJ8teh$;`veJqB&HPJx}a4EZhVP={bW%`1tXkW&}oK0%a)l9iQ^YlV0u9EG?QwhD^JS|wR zVV6f{5PTeo~##OWdApZ z{O=`=aP9x~jPrl};x*Y5L3#*cM6ysT(>Gtg8s%hXAFQQ=Tc!6O&7OU|y6Wb>(4%OT zlk-q$GMFmtv5hi@%@SFHNCr84YD-54+SoS#)9%9Ik9p;^ZW5yLuNw@DrPk6*%gPQT zIkJu0Ke`lsKQ+mUUtNNbal(fATQ&kY)rITz0m4Ew=>pHM?GBL~?Z5M&>B9n{&m6^76qAyPJ0GQa<{`KOcpe zn3%GOupduQypZvU(C?$yZHpHqcm%@cg*Vp2V)2LQ*(OFgjvdQ<{P=P2!Z>7>-D~qh z6?Z<;d~9we7#5oY;N8t0-C6KVlyJ>G&7hpZaRBZWl$&SX9>aI>Vl=m+va;dO?x0;U zub3Dbfi9~vy#||)a^8b&XK_gRT$Gj`Av*l|Jq8G<4>pA6)^*1!laP=Qk|Q!I=Z4vK zyuWms7C4i%qUs+s?u#SCM8uWVAn`Xlo7-Wy)_}M*ya+3)S-;XD8Jqp=*)!}}wb;D? zC8bZc7Iu)oKvIBaXFrUL>{HRm!F*o5Tm-%JBEi;S3jy4t>(ku|kUrF|4cb+BE}B=^ z8J5inASpk<#FbHD0Rep%7ngP#YScw3DYJorfrmol!H`(H%uAx)dFP*y!_M~QV@mHm zMHibF0uhl~F(0(=0Jo~|+Ap0tkNKD22O%4UXZ!j!uj>6|!%4U6@M)Lff|B*|slDzw zlUd41SLcWeR*)}0Cm4B&3MHNwbO_RTw@#_`X$W>CyaAyvS0l+)`u@t#_SozXA8xAl zfb*av5VsYLjg8@fz2HXp0l+-7gB5luBnA{N7P9No9^J^D;p5?2`2#8sH_u%4FE;o6 zC1-X2{&66CrkJ|Uh+4HW31Z4sAdsX2jNEZeQARYX#{+#|OZo&=THQ2JB3MP_waB+P9uHOIxoWXS9;MI~ObqN&$JIUj{hqSwYS zyx$C1v=fT5hV#DQ=nS;A)4`qaU%uQO=nJujN0lK=0fEPFESvgjT<;GD?(MKi`IJll z`F>ze8YrZA0b?$R5)Thh&jR^C77kd7z>-rCrxG;C^gF}<{)^<~0!Ws(lecV1_&8~Z zX@h)!d94n-xf!JH@WHnKf0@yOtNtgQQz>;V%ufp*Be((Jd#EBJBMpF+NpFLDXq=Rz zvEl0J?IqQypNNZ#KUDjYmgV%ZOmcoQYcW;ZPpwWi zLGSMC8DGlaT}D1h$t1*^?gx@CS>f(%OH6jxwAX()7!ez|!)bWuQ;J%egSDL%tCM?q z0J>!pV2QfEAI%P0VM^;Ml3Sm+m%B*s274eqUNm%uTDQqmCH$|K7Lkp#-IP=K_pjQ` z)1tCwHUhnjY_syZ2*nq4{bupLS&TwjK$rGkf^hao{UO=$zvN)`KhvTpwiExWL}FXo z0aTC=|9|eJ?3^5`+Jh+fAY??dIserW=b(Y+qlQ0LJo(ojfBmxmKdhAPoHV&7VK1$< zt?hsrO%Ueq&?uPy@WXvZ)|(@;38-|2BM8CSHF0T=;l$s`2b~Yu@Wj#oWimy0zYrB1 zfSN>geHIBltA4C0UVHsjU>L0&(4gr@ZS57}xkCl_;nEN~RD>(i>T~ReH#{iHDM(*} zlyDi0#<3?W52go{9RhoR4;!2R0dH!sg*p?&))b;wW5b6^=LK3-Hb|tBHqWJ7A0?|N z4_qb6R^Wu@WM)1%RAln|`n!aaTNU;8p)`(0Xdv(L-;l8I`~RfL{&yJM|7R}dO_xLX zC4_=v=HMuT6ep5RR87)zp`bta?ORj5+*>+8eKs~WB5aS9wKe*G7#z<~Hm1_-T3_;R z{!DTz_uFtWK%=pMQ2BUym#Q}AodOAr(tl)~h&z?id)uz;5-vBdjrx`CJpf#e#9U@( z=1qu|l;t*II|Re7b}Juvpn@!QBFguSh2KD_6=^}(v|9VYg9ix0181lY9xZThYZO7n z|Dpi^+xF$CpYR9wR{N{84M}Hh0LWuX?u7gpA14tEh5vHEivjDB2vyAxcJ4?RQfWv( zN-%WIhUA=E709~S?7lvIWb}|&?TV#HdZN|T!ut!1LA7U{D(o$=?7S6~ukVgvwS zLzNDa^K;e1j?649=sJX;f470ZCf7Q(GSjfNfTSK73&VBlu~)8KnQ#_oVrDidbnx?g z3%_nV1f0y&ybZ7IvGfGZ5Q< zk1_yhKUIu`)%2x*rcdV|2P}{0QIEHw%#yGJr8$AV06F;h_+F-^Sri)bUA?Mz`0(Lf zF<@m0mBizO%@iBgD|x-VdA-JM%E*Y*^Z&7ldTDtw@wz*H#DCq)AMiFXbs81TNE!qg ze4%Mg577bmdo?XBG6X*!)dSQFeO03Ygn|Nrz$9Qs`MJ2{Ap@)zr$!<~y6Rz@sJ@rH zdgV6VT=nZCzBG)C>z%gY&z|W6ArCVZwe8{7ND|Y45f#?Z2OVNU z3F;8!d*6DmbbQS#(~imaW}d4W~N=63$bh;_-u&(?9n)-l7_n2#>H2T&)TA!E@Fqf%b?iH!aS$n*eZS%5XYerZZ4bdk%V3(fcs2jq z_|E&a@gY7!qpo+3p`$x`*=eM!*2Q)>^w9~^FcQ~5Av)z-%f0RIrxuqu3XZo*Nyqv6 z=^9V6uAlnxhWC75M)f}lKN?fQqnvpgt@5tXiXT7_j?ERiChZ)uIM4R>r89AcK7{>U zOVRq~#w1t$nL^uQZG$5vEqS-|6pGFel0A}=J>Xx$>9xIK&x6KMPE{?IRjrm~t&SC^ zIWr9@^(3Ew_dh?BpnbGX>yegTR!i}D`0AT3=vdY$Z{#rZ<^RT)HxhcnudsjNUs*iY zXQ>xq{a($Hg{v+vG>lOMfex~d#we`tLR>*3p;WE7l^?%LCicwfeOx-L9dN<_XN3`W zSmCU~+*3x}b56e}g}=?d-IbgF{l{-NE$phlVBsIji_5e7m0Mb@s#;m^z2N`MmoR+( ze%F$v>l)snPm+U*an+ z*B$uiXvJI`XKYlI`~x3U!Cz)ncO`;H;^m(=BYYyZ$iVA=EN#9t z#N>aArJ0P^zgS!@A2J!oC$x^sZZrui{-xczvxr@e6{s*>iAxNVB;ELyU+tWC?3|g} z6FT&rZ1txxLLqg*vu~c~7WSAhKU3qcZ#BTl*I8seip$^|dEq~pu0K|2yuT7N!6>tP z#_h(*n&9V7k{Xv>1`BhW9x0f&7!vDT;Rzk%vR8ZJtg31-bi+LD3Qe2)rQ%y*%WCc- z#9PmQ7Osw#-`Tk~&!2NMZ2G6Pph&HjI*)SL!8KG63PCaZ8!yo@$N9d5DSzRrk`ZT) zH%R^VT0fG+MI~uZ!%)im)$&EJqh55ouIRy5^bVdwX1jXsDxHCsKmPY=;?DQ2<#7wa zwKG-;K5=G=f&GI`$!p_dt?oBWskRm`C{ppC?a6Vz;Hpm76g@Of;0WmGan(nUN!jXz zFnu(a(b(eSVgD>SK9~HD;)MVq`GDU$Pm6{23i*zd#17XCIG`)+Su*3><+(rFjCMF+ zes5o`U0RUAs-tsyT-7P7;ln;YA06p!ju#$IsOs-3TFTqz*dNIZd&ybnCD^sRUWN&4 z$YiU4fZ+_Q&nqzFOa*p>sv}`s!H<|0@EA)0@z3ZBoI#Ag26F?q#|(Wa#6|w=`4!KZ zYvK$h&}hpVWHm*IrpmOf`bOrW#Cx9T5|8`LX%7N37?O@uB?vsDQse$D*G2YNrO8z*rUt^PYuia z3lq-s2dA2dxF9x|acK0Y=G$(_~?lRxc# zJigH)k@gsx#jF?qyC|D1Jwx;eXV{~wCZRxrC*4NvXSHx8g9~JtjEFO1cMt9}X{YNt~5@-8t4Y#TGjp;^?L7Vmo4hxBSSxwtQ(ktkWOots7$>)Lc8prR3hr20^wIDY9C0%e4ydv4Ee)qkT&P=J6keY*G_2@-+-B0o z{J|aHRgL5vqAr=uw#7f<{<5<v+8ahXskO zRy;-&HlA2P^YLF*INF}b|9LE0(SV<2uz-bXBcZ2~Z~Bj6U3=ykI}-W0y8TvD&k|2{ zN^`=5$JdkcVOL$L21IfL!yRW53V2MSruPcJ7WxnHY!3CXZ+2dzUTvPMv+=4r7!cZJ zBN9opK?TvGF=O3hZ?CX-$ka6RVxIr(j!krQ#viV0$G^Iicc(GAqIMK&t9Yl;n9YH= zo_(bX&6we9&eHbi2*+8HJb7KE??=1x>bjQ4ESUDfW~Y+bh>+4%r(e0xm&P6n9k0H< z9dZDbjMnka34GoQRxruV8NQ|fOD3UqrJORnQM)un)Zc3hU@y#>Z0r}4-3)NV(3w_(099Msf7lCWfKyafF3OOLDnoikmv|Ui;?lBy_gbO#Wou z>QW`0)KYKiY$DUq>0=Ms{!;N1YhG~%)99Z|IrUd*hxt4ViMMfzx+~6k7!g`@8}2rb zBGpyn)3TA^q^B*2(|PMvr@No6SJ@85$PfRC68>vZ+gX*RnAegap&@`sB257sNPJ{& z74qOO!{If~N&R@w_Fy&nM)eyh)DFe^k z{Ji)k%e^wN6$%#d2NLr%?r8rC(T9680>!I*!~)$K7!B_O{=8~=2_ELWRgsh<3#FVE z;cu}LFsc(P%qUZ)_NEk{-8E?+*B!Zb$WNq4-EW-OW6lq1ww_p}}k^-~(8fG)UpIWdAgON70cI?0frn7Vvye$S&mK*T0mzOiv~32i2mxBSNt zK&EYo;YY`)@HQ#@Z*)k+@rQzh&kmbjzt9mf_Y7#wn-z>-wF!mI|DjTI=*Q13d?hpt zI-ob`6s~Y9gwiQ2vl=XRFDO{i%m+lSu^7iaIAa*cp%5pX#wR5WVVSQGH~X5u@Hf7o z$Je|fRNOwC!TlmY!LP`UI}N{Fy2&V8Pm(w*zo=C&ALun@A~@oAGwN-XhUArSk(E!5 ztFc+;=T!Dp-)XkoWLJG`oTS{byngKD~BEecy%(#N*eS zuqB@}@nZrk5&Gts%*eTZoPU*c_>=I}&Lx^s;|XzTGXDq5^{_9u!!-I)jF%4v)!r#F zaw8ke_nj5GwcgO6I{K@Pq%{>-Xn3ApI|BDzHi0@B>K@;Hp}?$85J)@+0qq-s$IKUcSC_qCe+~eZN)o^SmV7p$f1UVXT#4fEoa@NB{T$<=f}`vlkX3MV zNbss(nd29+e1Cmj3Z0oIy;otrVHN29gptwBR#p`7!TmVBUucX{jE5CVK5jdZKr|N6 z)xGxy^YJmx!0pMMrj*rq6bh@D_t<%7bU0z|gm7VRYQdcyw_Ub+kuhD014*DOXI}u^ zDDPtNDppx3rsp{e+9dhCV+GFL9yfT6QE%?+5td7k=DyCx-LBsuJlvdYo2%fJvbbxp ztt6~bt)Ea8LGNZ81Zu$`&d+=T6^^pDn!x88D~} zvy5>H#lx3nJ$LSBp%<^`S_qjICw#KNw+$W7J>qqcH~r~VI)yD)wU?Xzsn3~SZdEmh zO7uzb>aveFG5<=RI*dAU@+?E0`AM>&=gtKKf(J+Mhmbi+&tr9WDodJuO40ihFQ#>N z0oZjAkIqXTZ}Tw`)P?v@v1iTspknw=Se_OY#0}Zn=2UenCC^j#WzVElV)nE5ilO*=ST}R%}*1 zkH7jvLK{}_y=^huPx1vGH7ct(w)I7KwN74oH)EUNe{^Nf{ao58cML2tH*=Mh2#+3H z;cGF^M8NYqkIMoU3@Gqar#%E;by=hwZ$uni$=OY{d% zPN#^|S3a?;#D1EJ=E0@MjHs?RilGN*;w;t-)!d#i{EVM@o^TCU-srk;VSmMASiCD7 zX<8PG?fpro82IwC<-vW>FR~PKTu*PkJ4#)90}N5a^s&0|UMVp#6Hc z3+kgdJDB^?7Qy_kq&Y_H&bs#%y8OGQuRfXetEC+0`XK)kN;WtRd)zK1BEaQqAtok1 zUq*0%V>-6$=8^0mC9Zj!j1i->qF+Do=C~NCV{T?qH-&O(Q8ufa70>&>nfR*4vIOkZ zn{T=V-lmm*@$Tl~^oNAi&2sG2Wd|8d#kO6W^?SB%LAeY8D_A4>A|kg=*z$F|4gfwY zVM8Qop<9oxi!s6)e*g&s+nXOQQM*Y#Dnn5$tz0vuV%?jni!6^XqGVr)cx#&s_f+Nh zg^IX$E6q!yPs0eGP>HA%n%85leRF;k8;j^Q%e|I0IaN_4r z?60pSz&|0HoAVlp*+1?C*mnJ~Vv3)Oq|CJPx$ujB&P`i&%-H8}_g=-NQ#7b95zwRV zY+M*7fh~kgattrE9%7C+L`+E+s(4VvMf44zfAjn#2Ev6dV4`-aKulOaI1cr45~8;P zW>nC)^d{8s`l0?cSL=2r9X!blF+WUScg)}xPC=$l#JHvV>_Z{gH9@X}4v8{F#gO3+ zdKTOydix*e-^kEB=(gSIPBzP%E2>*4Z~$!-=n*xyj4+r)sDR~C=EwvKVnA#*qKZ1F z{JamUhxysr*_dM1f6CjbS121rcVn}`Kd^O6J*1u6kNSP!!I)6}rJ}Te>w9+ol`F4O zjcZJZ?1PuPtTJNq*Ilzg+mHhkvHNVFDzK4NP>|b>Dl{%r($Ue`J;I|3AvA`BB|-74 zvsw$J5I`GaucbGDQvpxC6oyL`Jm;>^$t@2=NnUrBRran}Z5a2=Yc0>My@34{Ip);) zAS9ZOGc@mRjpL_$y&E;N(kVlR30^2B^Q*Rg{;X|kYFaV%b>0Jtnm`ARKif+AFNEoJ zDTeRz5Oz8}*?S?Ui_LBuRGPy-Z+{Ji+jqv>*`De!rnHwJE)`P3OK+fyXdF4LFwbYGu6QAx6UoT zZ&u__tA2njpUWmZR?3v4%2x5mWm~ryZg@c?5Um zAqKRN=*8ClsxX32W~h6F;nYoe85GJo=fmUad}NE7Z(@o4r|&%B6f%{4r2pVSiI~$! z0mw4cW7if(i{S^PRP^!VM<39aQb36^y|qXr!$WfK)wq`LzqQ6D?N`m6ubv>pcKOcZ zg|{o3g(g*+7XFktgpj^`_tTp@oNOXZmsUw5ryZnU3ahg9@MxwSN7k*c56Fd0QhH@< zc3=U2bUkYt^8-t$)Qj1FO&_WEMRXyt*|xp8`S1f$46rI2KnkIMAK2HDEM&KWa%mQ1 zFVVd-tBd0mWOF^>r`_i($XJkI)h@U4BYN3`v(Z7AlFL#S`P9qYs)nA}B1hGjeMSF( zPhWgEmeNObFK@jOni!QRB;1?hyl=k`dp;CN+b(tZJuC+W)1Tz6C(obvgYXVpCIB1N znrWs@Y9Kb7f2esjHeTnUAlyia>$5efOlGmrGH~w})dPoeiB1Cgp%4u{`cdLJDiIHA z;8j}I@Htz)Jj(f6YWlZn;nBuCjdHdfw9>iaXYOxtM{iK4=t6iRBr}wo9wjE~l^k)M z(Syw)w%TDv@#54_KU;m`iT_R@^QflHf6)!FRSe>nSAf)F_F)fA)X1pIO=k17*i2Kl z5z*8mR47??KBJZRJ1NozKJTSkS_z-LCdy6XjHmmrZE5b<(>V_2 zdG?-l!`J=({H8iVCBkFzOFCC!!wL|bTNBSy7pj5%X2+lmEC0l-wo*Nr+qUW94fZdB z^v;SlDz^#;*Fj^tMce~=pP6-o$n(11ycp5y^%t6uF%M+#R?VwCtUQgc{l4(q@o@NI z*VJ)VC@P4#KcO{T&(`(#%+}^~>g@WuuaN0WAojFpcpsFbhC>%0K+#+NUdKz_8bxaB8ZGweA3tws+iv(Mqt>D|tTJ{7A&S<7spgQAQEdt%)W zg$|>F&hvvQJXttgYAi75TX1ufL+Bsy1t_eDG8TlT;gOMr^O&IX?=R5_YPIPDoqJTM zF4V&^L>h|Bf4{V$q8oXw4GIcgz_LS4GPg!;oc(<2T&&%?+5&NieVd-Wc== z+m^8(&?y%|k!|3dj^-!J11N3bRn6zRKAQOq6Y0{RI@h6q#qs?QFJ90Tw@mM{d2EZyT)1}%`eHT>_sSETD#B%$C8ivGixBA#`8PMM; zVscyg>cKp1Zr8n%O*n``b?DuCrT6H%2sux(44j^Qg$>IWd7a+`o#@S9Wu4eMhIE}l zk8vzW#emO`Auje&@43T?X3 zeWI=uH2)P5X!}=J-!Vhct_nx>W9>oXhuC8dy5gg^!1)9TvG;pln(j0>1-ocf)c>22~sq>Cyk zuQ=W1t*mm8V6fP*r3niB;>g;dLk{)PHlRJQ93^3uT}~ zfahjypTLKs)1^mbMQL_S1LZQ<@=(WIC~+Z}Im!8zVs$ z`o;J&hS3Ji;oml~TAJzV@+cBE8mZ8l3dKLZ*^8LV+G+lH5*Pif{X%u;=KQiQ9DY@ceb#lhrD}}=egopEY_M5Q?Wzx<*x}~83 zO-+g1`6gA4v!MAZWTFz`hFO)d8!xl!*8R-D4&4yw;@O7^ibywpqCoa|PA+v|#jN`m z9pf^?9zVr4UFsYI_6}YTX%hh`6qlKq$*qbAb)ipz^68Wl4%D#~#^8~y~t5)rJ^HMr#BO~)U^0j1k^kGN_mX;Za;{jp6??R0-B5@X~ zU)2SPorZEtyQv=w$iV(#MG1f<`?!zN{{EXTumkamJ>Q={C^a&=4MR=l z`(j1bka_{B`t)tb*T4*y##)@a%cp{9_95#MA0LNs2P(>0049CP(h8e?EL43lU3$>u zo`I%n2-pq1{i);AE+~}jfv)T4^~r9}UvL-hNo$!fOj1{#>0{HA!$YjvgtnuOKY!p6 z#=Uyw^S6EOkt)^@d|LQ_exmaux$;Liigs6*2K1 zrv>Tk<*IMz#>?y>dTWrPDudv?51MaC(0`-a1C0_QP9rzG>&>OMe>b`7UOaNK&XteJ zqveun&v(ssE31bfD7hUAW{}QMvb;&>?^`XKX5aaegw<*GLZcjUusk4q@rRbF+O35; zQU6W1z1DL;@j@#S859#toSYUHLiRuWzQVdm&c*LtRy$1LyL?3)iB>_O(1kiZtJywz zmCiv@7iTqeWnzhKw$&!#P|GTnw+Sdpqog-gyuG~#p@R!*>0u1)eW1av#WDVa+sozX zN&Tj_@hxYzJ5z~V42qrKk`LaSH$_)+3id6R--^@s>MJ(5Dn#gc*Z1dzB{WXB&EzEX zTMNq8>jK7Tj-QX_o(!banzDcTi*mY70ucyNArBZv$O~2}Bd6nP>)HA)$6q1^y~5b< zw^2(qFHr|e#U6Fk)0w6IYs4a4FjvFMC=x7BY<7FtGG(kvd2-F`fGKOo2{{_^$P`vZ zAFK9#sy*2wF|nP;zlVdR-0hRhd9CE89!=sx=tMG^y|0AJGrg_R8!E*YF4HMQyTByU zH%q=rpitG~;6`fm@5dghjEsQ+b_#V9Mo)L;uHM*~PQiN`b=H`d;@&i7E)HEKY!Dc0ekB2_BejG#Hf#`Q4Y|U)XHvr z9iv@Dsw=AizbWLvUdXUySz20ZQ7;>fR|e`6`xAefXLLO@{{BH#R^vQ}`xPpxI`6UU z$MHf>$7minv)MHPvsk}MT93_Uz2*Uxb6R^j*upJrO9Goey=7B$HBp{7r#uet^UDDSxKl{O6K`gnqilj5m~D z`ohZv3J1M!wZF{%zP2+-$k7R$j5GhY=AniMiaq(-nh!$4hea*wzgm{z4FF1i3dI9M zY$_KyC4=9XFpJ_=rnXZfsz`0mJxIJV&YRC#IJbp8Q}95qP{4(M=Q#tGp4 z{3vSAb@%$aONUOb-S4M1iJDFFuL0GA&qT8T5=Lej??-Fw4E=Q{4N|7*g<;DEMho4S z75N-jvo=e=bQMu%KoP+!-I#MJ&n!c;PM%#1#00ERKY<*mmG3PdVHJ_302G~!Lv$Ou zFb6)ujTO-XaGZ*VsF6bPSjQQOM+J}?PTY_l{xEkHEEO)}BbN7Yeu8HLG5|YJ0~D}8 zKzqDdfz7qfcpgDnBe4eSOCc2ihoK`2Y@$q$L_Mh6fa9K)Hs-c$1EBpsOB3vBU z+h9PsHZYQSf74fo%Aca`jhgDe(8=NVl^F?OPo2tzLi3<&fl=DLcy4kmO?}O7I$&iT z;!EpNv7XEM6*B{Ib&y!239pW5SR=kyyA$$P1Vf`=V^+RBsXiR2B*`As|p?j#j^}aP`MA0jOw(apat-AE;M&n`^PZv@hq*j*IQ|Czfb{|7On^=>721T+=UN( z8uPw3kD3buqZkocdQAC>ZlVYP)^%dVs5oPb(UVu)+i$9 zXf|63i~y;S1Lx3ccM<_UgK@@8)1|W^#DJHGS-3xA?46LKce({jEPMBd^xJxKI!Td7 zXGou^1`5~)q;#NcV0E&mbn#00j*4Y^8x5{_-Fj}mPa!s2;@UcnM6!jq?h^TZxb*NF zj38UTsQK^o;9Gnwj`tK$P3Vm{hbQ9trEVO2Q zY!Y%fa;7bG@BTXWF+`Hm^`zr(fI-nS$>9%|7zwcTokdHTD5=FttG4x} z7UY(pKK3hY`0TFK$7T;)bJu&!fAMd6nx4U>B6=B#nC|vPLQnUSuDYMe|)+-ym1L1hD*?K240kRLnaefvk}7Ia`@O^-;HA17p#B$ zew8u8UqkwAU_R3;nZ&?PEa!r$Bo3%o+KrYR6J_+oexf%!fEW{s?Qk&D#2XV)ydf=& zS06J*f(r<^w^zEX%-%3oaggTbdaO!RT%G1~a7U127M1RCB>RjixJ41T1_V#}kSTgz zV@KPDT!1(E3J7>-H>EH(yRH}uJyahKA>0+DvIlwpgj}EBR83={aUF~U_W5H{)aUsn zU|V`2YaL$MJP#tYKB!atW%7}&lpb?dB_r`4!)V8aUZhmS&hIj})2^&PLxChsFZGXC zo*3sB!^dq!d)IQSg6+3oK}%7($I{{Bc{VIRy0m<%qMIB^F~KhN#GJ9m`JQ4NJ+y>% z)mV;G{!e4G6!x1QMW%l)m`Ri1U9Fep!^8X8x*L*I!2uurR3DC9vD~Sd^}Y2%ZrfJU zJk*Om{L2tO@qrc{gv+&Kp{Jlvn>*rT=EsN=hQ8k}(II`3YPW77n&D77)=bD~4eeee zB@qCc^MT$N$`6Smwz1HGBm6^0#2oQI`G&Mq0|IKDf}~idsMc{pn&qrY!0YqGSUgR! zmO|a9x!sJEe?Qq05D~*c6i9C?XnrN<$B~ZJRPUdx?P)R=&@pQOI$>zrEm~f72~2`_ z1n$%UIavbwVlqKWZU>ExC+3c@)wAfp+uo-gC}e>uIVrYKd2aX;5vYzA7Q^Yk?o?gB z@OW+}jS@@39(F@cqOtk#>!IHgRBkkpc1v4MsFFZ#RlWOq$36zbBQ2EhurYU zUL~Yo^d~RLLZ^5P_y0+O$LW7B@FbhLxIIzYxxFuZZ^+AtXW^aseGu+qmkFm<+Z#+l z!m_#kSe;bL8leuePG2AmoqXjB`{_$qUsKmr6j|1VpWwH6c|AktONv$xwNDU z@P+4^Z5P!y=+3?Z4pLK1S~R-l_Jp1sXzvIK!WE)MJPNc zVt}9le@`jU+?2(o9XH##=?DzcOP5&bb1ECEHr%SOU%w_*-nX{iy551r~z#M@8`pAM)jS33P$NMoumM zu4_pDohkhsa^4Bz*Wwy}kNn1Qy{X5}_2Lbjw1`=px&7~w4|JOk1_lDz5u3d<-u$-% z1kNAQ*VWBzd2xXss$0l8IY9ZGPiUJA?651Y&&}7%n}zPiI4C>*IV1EQp2e`%~ z+WU4yu0uCLSqA~4Tp}F%0DYYPpTwX+0s2dH%wAF-|8dTg&DAy>0o0IwS-mug6Pb~a zS~DmL;7rN`im=1i0!ZPzKBt0@|a?lVzjPg1)-=JTDgJ9RMSe*|_-I4eF` zSKtDZY%1(H@Np(Ya`zQNKZnQMg--uMD3*%i?z)-{NTciZ5?d^brKO5N#yxDTs3sMi zca6-sx-P5QBj|5}-TW*B+9T6n3J^X~nh|G0Fei@x?3-+t^7+~A>%Ns{(SKrQa?k}Q zYr?=hJ)pJz*|rJ~tY3y^Qe(0QbG+}Wzvk0`uM#sfrGMenH><+F7jp_ooJfT@(c$I7 zFq68g11r1aPAW|(`PLO(m#)W>4tvGGfHvjW?Xw3$vf=Y(AEO#NH z#vIrSbNvA=%NukcR5!4Etql4sHU1kA=O8&V1+m&gA!c~JxbQ(l~ssfTnvlXd9z`gFzNsUP#?X=&|<&d5C?(e;ZlgY~{upg@5JYm-QJN%YLj%zx8e zR{5XZWv>1H9j~t{!x>n+CQzdNcR%+hL>&PKPuM_D9H!F#b!yizroq9etQRyy(O3#ABYDajM3eWgBPRN>U^Zi z7avk{bRox!fTRRDsw?sG-B9Q?cC4EhQ&dvI_GGIjia8`^W@RzMv1SOv4A0vuXYgEB67>VxAx9Foa%g!<7#SJhnf%)&+VdA zDr?d@S#oMf*3vFy`Bf>59j>0@AtF5KQDOO{|CSRxh4OHZJ7D31?I>gEHGZ#d5nwrObjZR z4Ku|HG4~WX!)QXiXnQqi{hFw*kDiPr@I>0dIT+U(@al4J6boq-0dZM@ZyeQp_fd3pB13Of&+bChxO za#Jto|H$5Ytm6Wrq?=hhp)EG-uum9*w_%zG?rX?R-R1`T21pRK#p|g~vg?y$A6mc2 zJ^I^VMAYVSg|w@QJ3{gSSa`?lADW0mc9)nab7+0Mn6$puG4XL03MR|{8H*W5mY?t6`m zb^H7wl1nmm%k_d$J8tE4Ysu23l}e$0a*N7s{`|0cf^^5WU~PGmZYE3-JKN-(!_nt$ zz8s&HLb7OK*8p#Ugd*d!kr~oPLsjdk6eSOYta8A=5kX2gJvDw=K0gO;*!2Nkj7Uk!84|R;IRmQbzbW zfBwCh%jI`#k7HyVU#(7_AHbfPc?CT=e*c#_bl>lJA3HbZ1E_@MbL`FXwQP_j$yGK2 zUe@!_tfq^JO4}aA5KE}X7K)440-FX3-1~er$(WR;CMNkQuq?g@9}WOF5c+~^1&bB7 zjmNcQk^@;~)fDgw{2{FI_?MkkfNg-^l%M^O8uol}B)H5CBS3lp&QocaF6mm%fBx;F z{S(uET;}ro4Yxi2BhgPD+LB?NX`Z|zq$5C&4@8?9Gw)t`uYpvyz!U6^)Q{e%ihkwd z!c02bi_(fI9^lQx-dsZxBBlu_B>}Z-q{TjLdPFaM$?BR8=5|1UWIERA@M0%*kVu0|1cV?g@j>7EqM2hgA8amXgipdL z`>Z}IJy#x zfz=o~nw>0*Ta;B)=Bp?0FC^-we$3^Bgunx=^sKJSyE6|#P=Jh|c!152(v+2!E(l=g zmSW=&!vwUe@kbN|JUu-NIt~-Db)Fw#*=}(-YanT@;CW#l|AB2LNOFCLlBfQSY-4L{ zTi2;03p;>hIdgQYBXCh@cWVkw(MG&&dy0W2pv%)gen$n5238SEYn}4y)x9XW5C(CB z5qHyfEg9iyKQR+M=bGB< z&bGW|&I#@9?HOKCQBgj}+OKYW2p*0___jY}tH~ozL=zQZcMwk!0%R^dlwe#9!?@(Mwc65My&s^x2MdSFe8EX{R+O zP37$vPxNF4!1<7|ZyyOLJ#$3RZI1K$p^613@^gSdO|d_#pszf9D@4cYc*tF|g7UFo zevO2{j5hkeuzTw6mQ2mPdKQXQR_oIOD^sYLd9A?T#1Vs)s$Z>hKfD9~S)P9M#yKK_(b!#xWY2 zn&_~1wXlEqA}Gur%fB1t?825N|H;8xdcrmy(o}#8RyF3&nZmdQ=;Mv_S3xW53eUEV#ehHXa67 zhPFGvFIt9%7MfdF@Iee@RHY_|u1&5GNbC_f6IbX(zqOj5u6z%GYNYrB28|H|Sqi;I zrGq`X1@EsRfh<@{1mR|}^{4@b&xc_6;d&}6Z^?uWRS^FN&8 z-vh9e+db{IaG1566DBUNd*ow$077Z+`U z<&OZ+?dd^isqTZR=v@50lo9N61g=)5v$OMzUWCfC-?OH&wab(Y8-^!GI+u|wRi12g8`E@LSsLo(YxSR(fCdM^AXTV$)eP%jiVyX zaDK(!-UwvKIXY@Puo0Sg{+^5FwAPrNf4zpd&*9bGTGAVs?qt^zL6%)AB?Z^uA_KHG z7;T!Npn*&^hG8j%H+yep2M;p-uBL{l%Q<|hq@+tQJk%MzZ&ZqY=OP-39{^}{1^k{i z9!VtDyv&A#m-Sd_H^gt2f<`e z)Cu=DbCAtGY{%^1BEEVVKeuPeRY`a+tm+aJaU)T-UeOXdl{s*&XzP-rMp)TvpS zjd&+Lepgt>{3pC9-2#6}-ZQDWg)B^crcEFs-I% zeJ>_t5h3~Ut!%CjCSj+_;^W;>OwZ-naSppy)Hz3Ocg^vvEBECxjRFF4)RDCkSNF3o z2WGioJ?6PLJ5b2;dcN;UReCW4KF9CBkbd>lBN~B^km}M9`-5x5c?4a|Z9;>w=lQrDW=)RuXCYhfg|N;N z>4P$3=S1m#!i$d)=^FQ{n;^;8bi6u_aX(HKv|rj<^Z2B{p@BiyRnNPXu>Bvi0^gp@ zDx6Fw+&8NCk+Pabs0Iji@I!9vi94WT!bozE7_(3b&xe{*iE(b8L@g}zFgC9>8gw)e zqaFf|SPv++7~RlvdNCiUx}5iKc3~Et3UECD4Q>J%&ST(hF%s+4ZH1xJL5wQUb^?aG z4v0b+B-#=7i-h~($}XXxyq-bmY}kOGAjn&bWF=&BxDp;D1L37;h^htX@OYNSC=x;CU97{sP1M_V~ zlRhY{1ht--$LgD&EyiR5cq~@4??izeQFCF{(k6xk85p4?+Nc(KDuf7T!8R%pKNJR= z&pwQ(5+&y1mUk~V@@h~l!pSQGk;4cAAC$nO)9{ph4D2W~z{JDHS^_z$)JcF6`U8caZ0eC5;LP0B`%#(jGi8CtN8a7$pWF({VkXQ(m8l zF_pld7wgF+qAIE)bOW^U7_jg6(yhayt(bg_&|yM9PKi`*7|B4bYhWyZo(iPp4F!Q& zJUgtQY4GZ88y9vGqmms4KzeR-asn7RH602G<|^i0vxUkCGI-Veijn z{t4?Pv^=rMfy=%LqE6Dl76i}y_n?e}8+QP4fZk7i5(&x@3m2x3CKfwgt`HPN4_4&+ z6m4RC)dE#%lmhq(=c)klL%eI8zHqgD)>u*nR(KRzOfHWa5#LX-9@W>^4+S+NdI8Lc z)4;rggcXi5!*=WWB0qcWSz>ZJ7#F``kMOV()wWw8eD7=^95_Z&fE+qZeL7+?GpzIn z$UmY62CsD8&jE8tm4Fjzvuf55)^!py1~brN(4=d@%q!1efB4{w0RelEsBTbnicM=0 zt73xQT;@YP2i(5gpb^%}9l-~|8C*W90$GgO%$Y1)w5S@1j#l7%CZTPKrbxY!t^JQJ zNV2KKAPg0)SVWXGx#HH802v)ptQ3MP17l2eG@w{-!Hs~sD17V*Eqbb!Z|kmUyqyxT zfMO{d4(4ct%C*X*9Hw*U6XS0v2jzi_#Yax-0A>IZ?T=VrU8qGCU;;*x)K<%9h-AKO z9j}HI*k(?cNJxyRjSitsoWF_P=q4h`k>@l5hKgL-ANlO$+lw2^Pd$V1y#3j0OdpU< kEym^krGG(zcd1N=SxAImt6DH^Kp(;|G&Q)p`^edU0E#S%IsgCw literal 0 HcmV?d00001 diff --git a/Fictional Character Battle Outcome Prediction/Images/__results___15_3.png b/Fictional Character Battle Outcome Prediction/Images/__results___15_3.png new file mode 100644 index 0000000000000000000000000000000000000000..24fb8fc982542f75bee6f9dedbb76e8091a98781 GIT binary patch literal 25746 zcmeFZc{r8*+b_JD?+8sOV};7xUq@pBCMZrLULZPV8 za`)6ws6+7QAlpAj;gjS1T>bDv#6?EiMcv-q#m(5s45eu7;$UO%Vq*XZe>$G#AC#jg8D?PYU0AEtC8E4B;xl;*?&9Zc~04_CscG=A2fD z?l1*LW?rqBD{Z0j!d=wh!MleWVqUPbzp=gi`OD_+sdJ$`P8U8ua<4D2=DYDYNn}OD z`ScC9q)F`)jn@uCUr@Kq`X16Fe?ciy-9g5VdT>eZ0Q`80KFo>y^IFh_BgoIor!tTq z@7ev%B0t~Wdwmf3`Q{&(Boyl5X?R$-$dx=ayER`(<9fb*?2Pj5RBC3?7W2{^`|-LD zd^kfMqdI-M5Sg}Eei~O!RObbFwDZB2L@_P+(7L}s{MQ7%flEY(=zQKypTr}SbTc20 zvEH88Ejyd+vz7C!YMLd{ZOlFH=HsxvooUJBvfX2>UMZ>4fm|0a-Z3^dp6g6~UQoAX z#j9Ug^o;8$DuKeYh!TZ5{B@l?Y(|LNjvw+nLMh<6Zqv}qsax%mlZV0Ytrhxmva|op zuub+_Mvr=Lj53J2WSf6^n_5(KjXYAN9zxIG7jIve)0HkOtU^LPO}_j3;8VIUvo1%8 zhkIIEThFqvuq@nA(lInlx+^X1d*hy_me&0DK-NBvSp76*$=%h;?E@$QmJ{SdPw5t# zoilQCa|N8I9$D4YVBlX{OyQjp{AxL&Koz>VvT&N))&Y5Lz>j^xOteds3w!H zzI;6_nb4oBiN}cU@2qg38HMe7*ZPeLkp-D_;^gE+*Kd&uHB?ko<_TfHCWh_nN&G%b zlrpli+!7Lo8>4Q?CmK7)YCQ$*MsCT-$RH2+?#>%2&(?}Dc!|0$T*dX|Ad5}o`{#L$ zp?yjyG@2mdtbxJMJt>^(Nc0@pot&O-BfHMmtaOO|nmB&^__Ml3$JgMZX-*F<35;xvX7Z}#+rptz7TwKZ;8X5##W>mbFn&_L$hU@`FK6lLxg{m{-;y;o zH6=GkV5g{*nzwg{3Xf&qd4BXW+0~jnM9{6UOXREid3txNzrOF;p<`thU6*RN=J13h z>vI7}&v^C9AE;+NP#v%HUi*9{dFB^!v2Sm8du_Ex`Ph)5@9vt%e13(?D7Jq#!MUR= zn3h|>bz$I4AC{!4mE%0!v9*%C&-9O32pw;?+qgH5(XR3i8jT(*F$*#DnB}k?ERiwt zUenBfdIc@HzxkC^>*=;T$?w}G%j%sW%i?~oxVU(0dwjnjguhNZTzvg4G>C<^3`DmV zO0nPl>62D#tCv18uC;O(&cL5uI2}18yq0xeo=)qRFTI|NwO7y{Yb33;ZUz3?`NH}> zXhj*_T{WEqtHZ(0epNs~gVpQzGrQU~Ow*@NNvmrdv(R`nEM@J+7`~?Fw)o1In+(@Y zUI^I?q;z(wparEVn_rzzKXB;i%(G)GuSr%USaTOxruovZ5bp~%_2Av5is5|NW(I1C|FB4SRhE>NVux)jI5{|E3hTCVWB3fV-mD#z zDm6i&;`~LNr_MzxdCU)%KF*)cz~LC*Tv4VTS?s}uUxx{PQ`b>u+4E{*ck8XBZ{5Yu zPku(oTG`eww{la3G?^@nRP|gt(b&?`a*h3b#kh}WzH7gcZ!LW7+p}W_hgqI{J0KnD z*e=-5wBj*2IoWLEIT0#+0{y8qnmc^3Sy6cO>;T5Vz_!eGxUWc?=abRia_sx{#y}dz z)YMeM*qe#LBID;5KUc!UTie#p7ZBmm?o5S4!q9-f#yDRa~@VLi3uXN;+@BW5wfbqG2@kL=#w_i4| z7zA5?Z|^>Hh0fjIUMGht@Kv!F*|tV;-gj~;iAYX1nkQUVO0c*mD|>8g@o|#-r`L~a z*823G37MIh-Nz{~bLYjpccGUJ&u>9Dgc zn!}j0jNCr>9Vr>KsV0{X!yLj{H9Hp|vG>OmO_3+DF+9Fkjv?yV*RH+T-fOq_asE=C zF3uPEbLmM`a&n<_hlp%sncZl$>CpI-iO^?-wnFhoshO@eUK22Dje5WS_U$<=c}Q~{ z%<6IL2&*v7$Smb#L+fqWr<~|5m=&e1oip!5oU^9d<8eN_TeD!{x>)!B$WooVCbhf0 zp=EA9b)D?H*=EFb*SM^G)li8s^;kE_)XlP=;5=-H*c_$(OO3hg?V@$2#>n- zSTf&431}jQ+T6S|^tU(o&$UNZ7F?UHy=X)kB1>DC5k3Gj7!>aqy7E;<6xj;UMuaUbS78% z_$0Etb#-;~x4XK!oT~JLLqf#Nx5KA(b_cpl|2VdTl?VUI@KetD)4Du#*tuRb(QPp%L+V1(ZTIElMunA?+F<{< zxVXRq)Mmtj)u|+h)iryrFQ~#s2|F)3NU+xGX{JCao(K1R(gBPL7dN-UV*P%d#O|v4 zF4(W$9%adVdLyr5Ot_Ntw((+*s+N&Ap>Ahc0dbde!xe>>E?xS$u`TGaYO%SyXF4=& zQ?5RAdG>A7b)}!p#%X-uJ!T^n_`1L&UJ7hX)iQLK!D|)vb*4%yyR*uU2VO~f^5X^l z!LXMv|2f=jwDW`h$_WG9>8t}O92WtHSOtZKlBk47QV`>rnVDJryMc1;+jE+ue!W2r z(jFewbo_>Sk&%(QwQ9rVwv@MhR*mY%3lVoYr#e{WJk8nv&fe>?Fqgk4 zF4~?tb!x6RM?F6?Kise}Cp$YEGYspXA(5=?yFEN^W$U{&i!&?M7BK&E4&9xtn$C{? zD!K2K@A_4IV}!Hcz3j?tv$*Wn+bdr<7bhO*d(37wd)MNUJme#lst zxZ!Z^_Ala4jr+>+VYFbg&$ssnYT@(~tR%Z$OQ9?ZW+D!v4zJF1Nh6T#=!tVF0|VOm z21Lwa%}SVE)ntrRJa_@QNCb$4G6>2G#VekKry)^?H zh_t;}UkJuuyi@GP!}ln~x7Y5#uwGG6P#kPa_T45|L@L=<>T763@zwmkE57$<0&tRA zypZkcEH2rqzrbMacL5V#Iawm^wtETUI%#QXEoVAYw*YD)-p>MH0E3Xt+gb0J*x30I z=dUD@>4bE^Y}|mJVE@H|n~>OExEabSX}G(!hF?p7!6f?bZB~B|V2p~7$AcBUpD2p$ zhQ;DQWAK{$fG-7MRn`^;)rChKo)48-rh`GU9xO2n4i4@HG;smF)n>GpX4V#C3A-gu z6r1a@I+NPaa2GJ05}-zmv2iN9C9M7y*w8G*iL|z~sDJ@C1dk8aAn`j9PThmwbSDm@ zdNb48k_&Z8rz*o~m_=8w#7g>tM|%Z0<^1*Q*Y8_cWOwE32~U7)7KGDz$Tk;`4+Wb{ zdKn%r%tNP;pV_G(FaJvHS7oCd8hxFKI1m85LKYPoSQPpr7@kN}&IP~Xd! zFRy(HXSKH(uN!@>VJ)(pt`N&A>N4|oVz9zKd1-%deE+72iOH*(8Hcxx0Yytwk=fqs|iXVSXGF`9r z+4YzR<}SDfz|8hmq7s|9_-G~Iu}}_$m|m;c_;~9F@j~r#ii(0r+fh-EPOwUhJekdm zwIU3cJ`Q)>oQ!3JK;XW!Qe78fp(&1uT@*xXVo&d+-n^p%<*|Lm6HY)W#yQ@Ri zg_hkJXoyNw_3FH;0;m|X04ostZu~?&4QOQIL`glzXJ_9sAHMnZHXELlOUYkz?H}3$ zsE5?f5C&2GT54w1x_>_ap1VvOEeMy~(?(#9UG?nc%&e@V#M>y84-ye|e(Mn5(C5`H zlcSN`DUw%Eh>nTLLcpl+&IIdo0|pcd_d?`f0TlA${~^Bm$i#{EsW&=C&7|_^(N9i; ze@?@1rB)uD3jpXG6&ZO6zxHug=`bf6zVR^nD)Q_B&y8Q2UX5?70qlT3VUELEP^*>OR^wf5W-|{ooH;_&@XTIuegc znMNcg=I`w6JdAbx^y9~msF)bKg&U|89X4b+%lmGSCG&HG4$HRoj_&#JQFxyhM6bPUNC+$W`fZ=8t=Ps1*Yl{S z_rsblBXjgVBjsq0PO16qLg`lwOyKF$rv-d=p4g7p)nej9_^RdTLNfcv!u6Yq`9gz( zgAA~BAy|oe{W^uXSf@uKk*M7Nu7vLE6l$_wv59|{Vtf{0W8_y`jjVeq5p1$n^L_ac zw9u5rgVkX1m`Q!VTU1o^z8~CzX>*vSnpz~{U72q`QK{dVl5Q1YL!p`oNyS5xbD+*m@4CbXej^Q8FnnKPscdn56k z-;LE9W1fiT}1^2?ywUTFt~O+6sC=%l2AsHn5HBbBPqqr!6g@q+!mjrz!pgoFg$i}GsU ze3XmJQ^UN$|=zA=@}1`>{N5lr??p@pjdmzp;gewNVKPdEXlY zxdFT|izSWu-oI)7rE_(*=g`KeU4@#ux^f}(>#6$t?k%a6?yE79^^-Ars}QGKfkn3( zE+?ahsabAoN0vEHE1}h31)Q9ntqCF?`}bCI6O?diX=zrY$oBZAafBe-dhNt0#C;x% zwHsw#n@#}r_O2wC8aEzAtATxIw`_TR(POnsHaa#I2kV3G2IPH~mNt_`+@n{IycTpk zC!62P9_GI{6!w~BPnP9ajl0MG?glNy2yc7NGBf8xs0COa`Mi3yTY*%KwMJ&kZNxDU z@s9xF^&$nFe#)(ZcLo%i$l|->IQjGEjI!_68`y7`aXsh1G>Y*)kdyKL?gMBg-ru za6%OVbqH_t=d0BfkDpOfHTp9K#v)tn4(pKHjhvhu-C~m_VSEilNEm3^I3}Q78Ysf%{JgB>39@K^wxW>({SW z>^v-pqf847@VC@6H-AH+{+FjrIc~*AfA8zRGxYF+fUaKtmtz{m1Ba1D{{v}>_*|*< z=>P6&?#DHD_oBl7y2Vg6SeR<;VnOio^21oQE8xAK8ytKp`gh-ks{O~=|5B(mGoiJo z%o2WOAQP1>jr6NCnAxJ!|Aa>U&!*#lnS(_hE;&X-rEs=% zbYOgZe2Us`vAuiu4p})=%HRdL1CkfT#Pmk1-C%pW7b)bN`PZ_dQa*!kmAnX%GVSDK zoXg@F`3Ljo7Mzsyruw;8m$>(@gg2jAK(I>OZNIY)!Eh>aZKsny@J*CW{@d74PtBkI zZ;g&K`;HZudxX~lBbWnL6G7?_PZg3rO)Oae`nDRaCP17i0Ab7I)Ks6<8(6Vo(`GIR z-ho-HhDb)!z+m)sAcA31jvTjo4JPTY?*(p29{4vkP0i^0VN5wCB_&evfRv>X-fPTf z+csaj_$~mbPFgMfQ%^>wS1cC>igWYwdVy8VK|)nv@kmJ2_(~dib?3o>=bJw$>G|@o zzQ0DQ_w9?iQaINK83Dewd)uY;5w_Ioa5xA%+JQ?p}&w zh21Csp)6o^(UF*Z-Auz;51>V_cbfNRt2z-!fmv*GG-{q-YbCq(S0gWbpJOF(r*&~- zetp=!-+ej}SK1+}5E=F6O*&ZrrjH+ct>WLl%?8ga70()wogU8Wz3{}mJuY)*X68Mw zpdcYE97%piIrmxk^#bQs=DuQHyEzrVwx?lZX*p&r(0((G zG?KkQ#E{Buhu^PfWUy;uFu6$lTc}}YR{$~ULEAb28oJwJ)w$zcLXuN1qLVJ7^MC$g zr?Rtm$PqVANLP$Fg^YPFit`#&Ye2kFxc2AifkQtXZk0Xy9QnQ+KH-La4Bjb%o$CCJ zdk`(E85$a9h|{l0+g;5_;7^9WJj~fhG~Sei2vny5zMco6t=gDleC0Axhjgxa5nuNDmDI^ z-+t_~X(4>M1n-Unk!lzl2O8-AGRQGpe(?4}VLx6q{r)U){WN8SL7T1LjWpPmc42F1 z29RL?&(CkxfMF8sHU8UQV?TzB6ODg93qgtiq3#w2OO*#M|I53!btB*T_JW~3*Bkj; zr^f$9xBA!8{#P}2Dol>^^g3M;%+7#e_ zm8&=PADqD{K4OEkjgyF#of1*gRj>VIU3%l6odDIFKfgY1ficNMD^EsCM7!fP^;I*| zmbqv(HFC0RF6WUsul6VTIiVxlO;pv&6s`wouJ_q8{uDnDcMx&ucQhtf=2e2U+&K&< zqo25Bf5bOVYAz?<;yf~tPv<|7?=)Z~ach`|PSb-siuf1@R12rxOZ6nK`c`glt|g7n zdStEWueX+U4Q&VXT)s%~(s7ClJs6Dygd$QhHJ%}t*%a{ED)S1SPXn_ZJ-=!1p5an(9=feOq!k+PLQ zOwp&T_<1;qk!>~FUCN-;EQ-wE9Z)3vYvpQ2Zy_GL0gso;4T@giy9g53Vh7!e65oC@kOrI@Qf*o@T<6#4O^w0^2tg9FYey3 z)5w-kg$8UYSXvD{eVcJ^>ir6gW|=%_D2&G`rK`_>2s@#+5#bdnH9Lp60A|n@@!hnIGdQ z6D_ppX1(H5QD$D45%)a+mIsTGkMbboAJ-mzlXjM&d#8caH5R8|AzRgC$n2suqY||7 zcGH^f{4&!(0kx$qiKuslLzWn4vl#lFx2JPeWwfilep&u@T)j{IUa5Iu33c>rw5I3k zV&S^QqwssX9u~4|%GR_CPR~3@xAvxwqEe3MX0OglIr^`&793X!l&@(%(L+gDoTK4e_=S=Q7f+d5Xd0dbMsuEQx9^pSOpqLnM0G0p}P@`Eiw{*@EUyWz9BSGCCV z*O+hr;;Ec!G%22`QF0V5R8MgI88ed^Jw97M5A5-}v~KzCYrfftY)@G?P27vAGnWn^ z>WcS{n_)aB9E-B=9t;11R&98K)|e(~8@R@B=pu}645Z5}#;$g<%p32wBS;cAT6;KdBV*?jUk7WJ|EcLR{f$6PAy;E+OZ~-e#~7SISn36aHWPxP`DKT z4`zF3nWbtElT)FaDOs69?kXHj$~|M)*=G{*qrv*Fx=ED6aaAP(wS9tfykDlXNk&p- zZg>{ee8%J0U!6N^+XM^if*8BD9_)0+{Q9Xx+B0;g7j8Tgg>V^F_9VbK`!2OVmMEnY ztvVD@yivIl&qK#4(U2n~>k+S(CLKRHl3e{r#EB{`!y*=@;M_pc^t#2$GZWjPX-r?L z8kv&^Jj4y!Xsuar1c6~ZttXww2wPJ{tL@(tOxKxBDq8Iby(2al9iHwkIa9gi%@dm2 z)&f2y*!icdcTW_doDn{&JBRP1%za3`f^vZmw>NER(nz8(v}QXkIYo zQ>C{eywIN*>(Z6+VU`CMemNYLz(O^5*9RKslyo3x#nF(X=Q92{Zde%+GA@O)e>SV& z61gl;RILkB6gI&lLcIc(tol}KW(bj^Z^%&JFjL&$Y)D7^ z)Uy#ZH<1mwQClywBFxljR4~(o&F;)Ve13Z*pp!;3O)j3ocN0#3TJ&R0lu6h7e@C!~ z?0{uRbp^{%>g<_$FOchUo_mMA)t9tJra5N1bT}`)pJLPNy|!vP&I{kQ6|0~sTiT}5 z)Y#O}A!`xFRS4sSR>>Eo1#3gp6qVnSwiX^&Z>A|#n`z^Es#~s|v;hk#^=4v)5iCniUJ1aFICox-B&#a!+=Cmn z%{u44WuJ`K%xAkBb#7M8OQW3-@0!1N&%VZ^;(mu0T3kJ>_S0zw8aye@0cY^ND!PWkV&(na#8t&Rq&=d>DJ8smm zIg91)?!|31+}fhwh^wz=-LO7i(sBu(ImN#$x!0c-N0W+S-d_s%vB5aL!TyIzbNhrQ zW_vP!oq4lj%GE{BeX>iB07&Et6EtuV=H4?M zTUn5Q>riiAa5V~(Cu$c`bTYo-?n1D`kky_Qvx(M|{6cFMO6R?A^CyW3uJ{Fvb-Tlb z;f+SWJh~7by3dQTUiTF%msocL2A*d;cNsO|4Qw)+NL7ydmc7Vf%B3F((`C&}u5IDBecdR**738$ zNei8uD{4th$44CThz_&)$16YXBzs$zVeVpMTUSyZ>(Tf#ORTd)%jj-SqwP|9X}_Tz>$ zK24hWS#zMUcd!^lG(_fufTO6;)@Qzv4gWKfV=+kG*g0o~cW)F;x^tiv_Kt=09>ay7|G;IQ_j6Z|(2Hj?KwXzRqX zJ7g^8G|m;fyY0HY@vG0kZKQx3x2yWul6+`;>-*u&^!+}whu2O>`%Db@`Z852O&Zlh z?mIwJclpz};PTe&+(_wS#I+sof2a>jwQZz+w%hg@v}!onS)#*3rzla8c+~ABsl712 zr(oxX!S06UR?h&-*5qrKy>O{?;L;xICJm>Pt2l-tv~o`?lPRM<$%>MME|*PJUsvUm zsa~L3R_HV-K726v(%kOk+(%J1t)#_1t`BBcMMTR!81|bKx0pxN)&J;t_gSmz_8=pz zDPAKUL*>SVii@>Ft8R_+PR}N}3C&Hki+FtV)mv?^yVPEt7MtK&&>!$A@WPRAQ2_hb zZ0&*&=ru;;k;EhvGSuvk_nvn^P{GJ&UvAXXo-?yfGn?q$wZgA%mVM2`2o{JoP${T4 z5|+wm)6O~-N}2owm7o!XlbaytB!Rp$h8QM9QdxsJWLQ zpbDjTQ2}teyS|3iB~BN8YTvuNALmtGeYyCaC<6^__6bpaOb)@5+FCD6tmvimgKX*A zp?i2wr>MKq=gc8fDM{}V*6&#_t_+7FUHr&o-0y~1kJ;EmE_Th84`YwYL16qR;aBS+A~s-L|q>{0T1r z)}Z${X0y!vt1%#J_VEb5>~+WQqC^AyQGgF5BO!Wt@kT=2j+)#{q+E>?~__W-qxjVKdcdKB((b+URjIv1Jp$qX5PAhFl6cS%n%`((ZLY(lPK)IMP1y$IEBW2gje28PZL}3Ts zY--2v3_~1-s;OZYw2lI2R<-0u?KG5My|~M})jv%H57{q0;c+^vGX-haST309N!5+p zOE+#CijXl>^KmJBL8o?pfY4Kg`C4vy7%gn z>RCfvu74D7uxD0K_q_ZS6zs5U1eE3M*5;sPiB5j?JlS4gqixhl#HQL!z&We)+MlyW z1e`^hSa=7#R5*g8R1GpaQq8K%l&|=FMwD{g$I7B{tvJc{@jQC1N1VOJJ&X5Us9kj| z4&(tBBDFhMStw`!ctJA=r^}}~_YLos8=9VQ67UYj$5E;J*R~D~y1OT&o+OF!q5m1& zc^bND-ZCv*=AxGrV=KvCuj*{}r*0@S_qI7AyuIL|4ua=KwF?gNhc60qm)g=M9 z!<;Gaa3u9d`6>DiVJ$Gk|G$J_kPK#lo zr1Qin7}!I%JMYE}DwJt8B{=ShV%Oel5W*ae5_wQ4zXs#dIXL|!e%|{{w3^6+TvylN zR{}SopFzVh6Me_VnN*^`s_5Fhy}W9VcPOBNN&F6Ocx#&f7#FY5gF*kv>ZNh($(-dQ z@E9Agg4|jKe+4m+?F2K~o-A44H-ShI5zWT%Ojo)!fs==)Hv|0!Ne_Zp4&fm)GhN2h z%m%ztw3BT7tWNQ7xyTGoaVX8T98{1Sds-SBg<_DfgGiq{TDfl?NJmaxy?#- zdY2Z;Dco3LM}q~j)(F2hn8(9)0QH^*`zpM1ypZuiV0#)EfYpz<;pYaYp{20>^B`*k z35RpH5GZm%tk&$!bMvM;@Z!C3g4O~K-=xsp&R@lGh}cP4Vlx9Ws&h5wDc7}Qy|t6c zEwSutilJTpi4)rIXi!hj+`>s)i~E?_k1i$KuQn|6RCNR$howHsuzN0LvMrVy)ZK`l zt6g|J&(F{Ay(u1(ulC@C|eVHtwt6-?c~7VTisKlc$|}-Skt-H2&Sy zw?L7kZ|P3`#tk0Bd6#ol#{*$%_Y;NJBvD`8lX^Ligb9l>aDjpIl3=DQNSAW4hZstk z-8r^gtP9w4+=eX@$Ai9mp->57S7W8?CHXNv_V1Q!``*jZywAH#n*qvsoS)x8jw@Fb zA_GpG2X_1t=nW1J@c<1&#&6b2y%HTZs#2BZgwJQAq#6i608?t3=L^A{pf z6tL>OidNhBHHyd!6%$1@`Ro3qfd~oF7F+!I7?d{x5%N;Xh}se^uj9gT4R@D~@z!MB;0 zT26clt=?H~BV{VkBPS9hbe)fry^*Z?Kr^VQ3qbH{`RDg{BsGuS+nk=yj5Va_yLbTm z$v`!8qkgbZJ{h#?e4)SIv2!E)Pqas{wUF=lsb$7)*?8(!at;N|!(B*8V7p}KKVMV2 z{b3PwubZE}KYsdT1u1{54&6zYB(CHs`+>q6h06Jj(k?oSX9sN+t=NIw4ozyh6gm@; z4g9F6#vDnOk!CLUfbC{thyMwUVk&&YYoZc_4}_v4(i4=l*oIRWKQ`J5!7UF^}vA= z*8E6`E)N6grYeMY!L9f*_M3|tlVz1S!mz0GzxMHH_1;?q}p7Cs~)G?X4xJA9iYERaZ8%G+*anHmC8Q*qu{uF zuoHM_P+=f7A%HflXs1+w{Xtwy@}}CKXFXvgg&3Z$NDc)MlhV)Rh|Yn5l9*_CI`xH| z(~Z+}0-rE^4=*dP@tPZQCX#d}6?5H&pSQlo)wc5S^g|aJx>K=5ZFkumb;Z>Xg>6d& z8{yIC(;&f`|NXs@V24urGA+Eil*QzpyDR_FWzLUp_18gEr*@OfEv#b&sAKwx6hK?^ zw9uv&-^ypn0j04jl5>SJ2d(}!RQnjc*h=)odW-wdLVZ{6{w5$Uug@njWgcpx9jY16 zR~DL{iThv~?1b!DzlAc150Gh`0|jXQyzWzT`^SbkuvsJ7Ll+{lXH@piz|)-PhC~dH zM<_vmbc<$FynLn<2rf9<47-}8`;Z_kECAwO&`lKi<^`#H}+-tKTa};_Gi#m zkPQt1w$rF#{)pq%0gj6;O4b(1%@bXSy1FTZ9uK)tr(0J0n!7o;q}(?@o=!C^3YR%3 zgw>FIIAp2>GT6>&9za=GLEH!16urMa^;GB=H^!+l;G zy5TxJ`VY?jDJBsqu|)&vz@DUk{gFmQfl{43(IA*@kXJWmkj?SVJvhXHi?8AQLdnU) zFqRlzJxo6q)!w()NUQ6->Y+M%`Yk;efiuFD(s@oJEN1jE^XZ|-1RYg!6I}IR`3{*@ zT}xqc&-K!+`1LtrF7E94g-A#spGVHr=uI?ornqv;fC4McvNM5aI0>g_Pk=O8b+*FYqBh8mV%dS+FRqPTbNys!#>~}Iy>N+2&Yl+V z*i$8LIp#!GtOg|Jk?Inddh6w%pRua+oj+~Aa&}czWtM1XsEWTiYl1s;4)t`3opUHN z)!+xgX8WRdM0DZDtGJHoo=56KE=tuyR z_zVlJzx#JBRV&_tnP=TXPbo-ZEFsS*T>%3V znDCAp7$w*&R95ti$ZSZ71GQgWspqFF`y#uhySd3j@3knE8X%I$wkD&ot`gg^#XiV$ z0q%z_*P=EJE9FcbuW9PZ!Tr&k^uZ)tV#1`Bx508v%+Rrkmhg))AQhab71SbCFV=0( zWn4?)9DO0c0C%Kz0lI+ zq2rZSC7Ldx2BI}YFZfqb3mz4#d8YFx6W5Xz$?ZsF1|{($Cs*&OpTRJ7*MP)^w`Bma z&4pk6Yi`La$A~<=&wGNK-QC^eZaJpK@Ea8X5Js!1szxA^T;Xvq^`)gHtPWdew&wOO zpq8+mfZmII`r?u4eg>yO)0zg+R_q$OE8gfacR!hg({mP_%45He7r2Qdv0)*VpPP|! z4^b+D9-D%ak^lmRs!_X9*I`?%0lYMS5UahJ8BKv55UBAyxQ_-SCle?tQ0`WeM`tN( zm;)Jze_YYorZCZTeEQkb$-ai8L^m3n`L6Up^RG$yApEWD2tLF>tT`Rtx4;?2PBl+g zSakA})FISU23tLU%X=FDQ-{O@36oNeuet9Uz!3*)Kk2|EcI@MKhnB_1C$8!qO&;$| z%dfg|BFFje3(+h0juP2n*;`zc!@5&kiz72KhnJ%av{`-zt7yTgG4NVy+8SN-!5unA zeYhMPq7fnt44`2(eB5*(ROeGt+(mD`Kuu}lHU5(*6w|l}vk8gg;$0uN=0mHG9K@2v~NR1mEDm6*j`HK0m>ROjsppFr_}Gcq|dKVv-z9$M|%({S!+J4&*^ z1|Ei}8p&UjUr)_l-4yg~JiyFXc*0fZmNaf{mLJsipgZmP(G)_k9TxgG+-CCer6@18 z#j713>5!Ywhw!Ud#Yb|ifEPrF?YYTo=sx27I+FTb>0j*EJfvRrN#l%puB;Upl{uK> z5j!`E4~H#+&MfZMOC}LLaxfL5Ug?l)-+lIT%A>dYy77* zw5m(Cw4E{mK~ce6Mn!E6mf*FM+^5bXC{k6m+3?C0QBhsQW3Tn9DT@bw~|M>&XE;=H@@srGf& zkQ>gED~$5tRO%a#0#?ELt$>~1^4%S}3i<)*Ov46^GiF?JAYWo}8(c|Wa3w-5rVH|H zSI22QHJ#^KlhQd8z8Vm0c1X?tgDaTnzn@CoprH;A5iEP|L%EN{_X()ugc_*j^Yljq zgx24(+j5qJiCa92yV@VLp90bc2QFRNTY{yRW>}b>e|KPa~hrOuM>G z^Y*vbr2~xRa;sVfpgabt-Q~D^xlbWg>e>Q-ZYMXR0z3L~)1R}F_RW{PV^;kX3 z-K+Ti6ujK7+pZ7QVob`f&#zus<~=AJO#tOFQdJDVWT?s+2kAV}P=m4=zm-k%4+B)K zP1MK#%n|xISRuo#E_UqiDSQP9wCXfpM&6Nx^u^^i#H3E1^>i_geKMH$>ZPU411j=% zDoC*q!FV4OK>nj@5i`~?fQueyQG2P#_2-Yy^)wpbK!gL4-LBO4Z5h${5;@na^Aw&GDS-LnRoSj|P`oXsiC`T3?$#sg0;rKt0b(3T zKOjL&YieDSW9%g}z;OE3<_eoe9zaQTethANB=P~x5%TC}i90tC_6p$zeTzb@zyG85 zo(3lTpA)mhl}J9w2cQ3I(G?z->I!6g=Uq-p%=*Jt`{Ni?;J@;_f24#dM@>6qgmCQQ)$ZOQ*)F2u9jREXOs#!ZC#yr+9~gOXh>#bLXfvjCb#D(C zx1RypIXABxS2|4SrkW^(YNxF$gM7Rw_NcKzix5X7J2stzMr)$xA~g zGg5;$LEsZ{54zf*zMe!RyNsuGiM9`$US}?mNxr)n`(5oLzt^@)e_=MMHb+% zIlwyia>AVb1j&nR;L&mb7l6AWht)Hk3jZpYG%@%udil$(Y#X(t+;v9iJ&44VZ^_F? zf>Dla50yBobL8N#d^_a$!ef@ z+Ep_}R6xAjqeD*b^FhE9w}CCMz9KtU6Xrq>mt4t2lRh%Yc3)Tf`y^g(#WYylOJ}HXGa$sUz|%g zm)ddsl-2H;!mg+#PGST)+*M9=Em{-o%IQl6@-tIv`>U9(8{9_YQ!!jC4})AMV=bRl z+{4O0JW|a%48)eQPqjg$%f6X-RG%osXE0>~e1K)UQZWFLlmW8}Za!kEmb~zfi88Og!$!6EM~SF78kz3mo_tnOq`vkjAtV}%uBv-Un`WiDE{3>Uisw2ps(i$eB&%A2YhgL-dE$^7?^qnZzpgcgeRpk6 zBAANiI1)Fa+SRpR8c2(l_Z5Pe2p9lFO;BH^W}iQb<9JuKtg-25@ZKDUbyQ~`p=k@-&TzB;DFzjq;GsEPu&jYx;$gK0|ICIjqcB`E8bHaeHA-*BE z^7r`mleOF@g9?v#CfqJ}i0^w$&)I6$KVCro+Q0|{ztf$inT<8?I)mGY4f77vA1o zzyRNbhS9%~3Aofzt<9guOW~@MbuvRYCF-q;f#5Yw$UH-gy4p8X+v@D;XMm|4h&IY1 zhJOjEUfNk_7`(~(cNa_LR5w`t{i(EN z`Q$O33T01HYP!@54V5PcZ-K7vPW)$X6ISouOL< zVlypj3w$poHFx>^*0}JoDECh0g_5}!U+rhgh5NYYRo+FW>3b~EANpCeL$O!L{YVve<*Df`7$t-q~H zfy3~FEZO~y2WrqOba$-I5#3E&pEp$Mi;ot1#=X8Vr|=c7RN`gqCw7a#h~vB$KSb15xFFn8UuSwp!#tn zAcNr=wO#wh1MYb54}9}cd7}o|@kU=kJJMNM#~J5?j{O^CJ~a=%;BV@p7~DJQtp>bf z*@lDvm?2U5*L|P-99t2)U8`RVke#W{wyr@|I1i&x)CR~!>ZZ)=21nTa{jmMGZhy@3 zE0N!QOg5Yp=(biQf8i$a@2?Tyya9udNq@QcE(8&%Ir?NF$GgW>`F3{}77GQ}>^?~V zGj`lnhhQ^il$X5k9lb1HGZ%L*C-zEme&)Qg2iepsoZY8z?>m_iw{{$ z-gP&Pe0+avt?HE$Rr+gIqe10`#l&B2j~CVMG7dv%RMbt*&1EFP|}7JVTLrN zZLUoBdyGI)7~J|GucU;5dfof4&ZR<7)oY~=AQ}DUG6ePVpwo}LVHONkB#ghW#?>Qn z>xPnQeJ@12pOP9q>>GVRHv1gYQ)260{mTfi`6Is%qQ5xdH6|oUmCpjBE#rZ#60qZQ za1jPXpWY+QP;}}j4rLP_a0dsZL9F}(1FfMJVEIX1GXADzH#>622y*=hQp^?2tu>bw zZ)cS)ZE-yh6T-J}y72mAj?c!W7USP3YO6pqNZH0%MqNMNc@q+Xg@&6x#z9B|Se4Hs z4I1xsSoq+z1o;sQsQ7L6{&MXEaytkF0(%*b6Q9tLd%KIi+<@IzroZ-o3_272?p=;Q zCB0R9oFLq#kitF-*N*f6Ri1k#*-MR+Q(ro}0E>R5G5`CdciC(Tb*$EG?b28uQqPq#tdse@hiO=t1!4ExUwJuARa)bOqLIP9hx$BpTcp;Vp zBBc+&JUjaTBSAF$uLRNeUYJmDFP3womvtkNYVyp zKLIt;eU44M3Sgj(M^E>1Uc3vz@8r6M^QQQtD z!13BEbuCo8OLodyiyXgIOWG};jAWG0X_+Sk^M@4H&FD39U4+Fc83YAOW zy%!f1#g1-mZ`XutH6D6GX~xz%nbG1+Y^>J2J5;PfdCiI2`%j<(GC>LR1kZgDqHNb7 zE!eYwnWcuQV`ilMHPQWFy6q)edq{!hmKtB#v5LV_ZH_zEw}Ar(El>Vlfy%xPQR}=X z^)VJkNV0Dj^+_{NurbWNhE6^ZI~RFT8c?V0m=RCK^!8-0E$sf;q->*vHw7!AgqS9i<3A!`TcHR? z1m&PW+X}h#VVmem?gkF(EF&YntW03kXPfK+Rr$S8S`QVUe{V>Fv?fv<{6Ei6(cgn$ zm!WeAM|-od$9a*jC*Tt9#`@Vg2lwdm=@<)7yU&iv^d_abo=zF}*B^9i9vb4h*h+dI zeF*x4y9~w#xIwtvK>OQXm%9R7gVP7MePH2&h-|p-1nw<)14%s>$U<3vZ}4}js@s3M z3wI*S$LQI0L6i&Ga6zb;LJS0z56>-Xqv#GrDiZI+RvSo?s%wWlinKvLI=P}i7xF0L zEc0Baj%^weV`%5cKai#o&j^HiMe>X|OFO z#aDruMKqniV*d0f!-FV>>w7y8^ZqYg83y0_zgZyiKU`M!|F?`R(SPA~xBtr%#(;h8 z0fau>j{?Pi*m=4qBmY?`;L&0eWEi}6Ai*BlTl!cT>gKOGZ11dmJrq9b*vz~I74NH1 z{AS%0Oe^Z}?P)>fkKhX!;MhC!zY_f|WSOl5`P-udb_53gF zoOx%?`S8x1FXzK?#u;D&&-2{5?`!>EzZ5>-^Y%0yQ1)$=;ONFEwG9XbenvTu4Wz`c zH8oeX(Ivl;nYmrdGE%-^pgAYLzP`QyL-a9&ewcGS7Zs({j-hn1bP?S{OSSDOtcte~5_vC?J**+jwu2?PR_weH`c*@@oi+~X$!r^3TF zUs$|3{3{*2_Pbu*-<1c7!Nl@^wm)_`2G(e@QdZeiGrl_gAg{<0upJIu{+?LV!G);zS>Slg3RBVS>*xZ|RN;E#fBB z1SNQ<=M;I@g))N2{LS9nmnEv;m_(S0iO=P0 z)~sp0P8*ON5x4b1kSK%82oO1T94S+z?#AAeLt7!w5u)d)6zE0UGj1`MmBtR2FJA^O zs1A^v_n%{gl+p>z{HncOzc<%uZ?4giQh>cUuYlVqY;~|>GFMo)6|#Q(WkC;(;j6V3 zV#4?0#ZQdW)4g#-IdN0#1=Tei?VkRr-OevP=ruznO{0w1*EzkupHD)H?u@qo~8h<1Z&IYZ2pU3Oy zK^cqx386V2^ZKHR+CNDglOd((z!A;DdDRuo-Oa}6H3636{rW`-tj-64>x~s^b~QXG z@-{JcvXSk}5O%p5sI8W|B9P>8=3Y-rODNbAqf7`l@ahn>=J3sojGSiFXHgBpOAW$o z{%RP>d)s{sAyi^ED*xS~;@uyc)0gShWon?7kd>aQlaz(w=479SSD(hqD=0k0O!3S> zu_3Twgc(v15objv;JV5O3lw-NAKSQJw?3i%P$&N zg*Sp}>4#p968p2j2_@~$qW07O4 z=W_#iKzCwhJ@?hCuVMMUK`m%9^FB;2oAi2$ zh-)Let3AK!U-mj+tH5`GMsZiryO(*>eWUEIw)~&g+rn*`_4ZZv_!_wLR}+3O zfUG~bj?n!h8JrgM5%(4Ntk?#jBWb#h4Ymj6&g-ph8t!=#{bvzWG`|W2URT3aKMS89 zm6e}w@3bf2GPQpkYE}QQic#vgILai^PdeHiEq>;i+=My%8`y#?O-)_F_TyA`XH;%? zxs7z&>&X=$m)IB0C*Ew%aV@eZzMrl6VbHkvA?cu{49&iAdp}O>RI0FnD+bB34gp3Z z*H(i_W@trM9-78p7sVaqJ-xKtp#W4W;t_OLMz>(RU-i!LmGb^?Icb<@XIfZ5Z0U9X zoC^=zLMm+7hIwuC>m!sq0550Y)4KLh>&=ZsmLh#g@UUQ+)OC4PQdTOkH+#jN&^BI6 zTH*8Rqb_Yk8!R9llkJ}iVwR~wgO=42bYvelh&K^ZN~kN-p-1z=4#8(eGzb|lfLjd8 zzS%=SfyIKaZXK|3e~wy!4_fT3>8Z(OCtm=scfNCS@R*{V#}h+#ohAzd>tW;O$+d(C z!-Ri8`v`IT2&c(>K3iGcX95gVUWVs6 zP1BvD-36euMd*IIbm)sFi3Hjj#4&eYasDPL|I|&cI3Xnuv9xFlY0!^rXnK~M|$cJpllH5)V@VDFA zI&I&6&hVS|8(2LjAS_x!r^h?T^oq(K*Ve|?_H7ufEdvxGY8=dk&qG2~T7?N*ED!0f zcEb?va&^t70tpbUJd*3;rG{Ic8E;)S_7nIHKq%O;+3X7|%Az636yyFI?}y3uNQ0!< z%MJwU+nu{N2Y}i+#lOtncENjN2(B&8t5o0M6<<}gBS73dP%vU~^tVU%Td>CVxLy+s z1HEYgXIkV0-*%J+^X!avN=*}a8a3C5_ykU-!O77hC^}^TPQ@*8OVL@h?&~uUgU-DZ z3M6wTto;n678NGrGne19aYE$U1X02LNhpAwoSmJ60KSllvT|qV<#%aX@ihS_e zY~5AX=;kilm>Kn`yj*bL)^a1G!se0o_V#&6@eq?b3>@v<*=IU=wd^H<-#~b(8Pom5 zvulfm18NHrOM~~wutV4Zj&pdpW>fg1%1R)R?>*QHglF&yUELc}4>fMOdF?LvQrub^ zoP-=ESqGZ2JT|%Yt@VkbZ&k1)Fsksn*Jh}QpxLe{?bMLp#@$yIp~!hu>!=36$6vl? zE*TRJkeMWu>+pTDx-z&1F)+N)T&gmJ9YVn_vuQl+Zh%Rju=1pNvf-h&G$_mp)K``Z zvG|YmV?XZl%oMiX^w|7lvSfaLlU|+iz_VMGUzLWG=z}h;wPeXd`Z^DWD-}ynmkzjg z1@@s^+1iirgGYA|qDLa2_zZSx9e^Z0lGmM`zqc3NdO37FJYdo4@MnJDrw+xIPL!WH zdshEN=yWg(7O4VfDH7*H75K#m#-|o~01s)2HI0N3R!t6_Dw^RA!fGm*-aFiBo=R86 zA}N-wjl`R)Lh7WvzyT%;JEQ`Nfy4g4*FCrcEY|4+BG^#A-;lsdydoc0-vr zUj_6>rRK$Q3pRdGNwLG`di_EepjmBJ>&V70itvEeQWabg#&6x-ia(Tj5Z~B=yHjx@ zeDkFK3EoGk2NWc@Y^~Lf9SoG-^l|)H*n5g@CqJ~evvYU#t2VIQvgOn#3l{8eMiR#s>9;Ssu#*M4AX z2+lSO!aIIjDdaVlv3h$VL54|%#HIom>c;yE3U?f+X&5N%RA++}!zKu61)OELUBDAR z|FiuXol!~2^sSIHiyY+NSpJ>I(v?f=1<$IJg+(dbLH=Orf!(cgri@M9tsNl$5FNFyJ2 zlSU*nJiM<7CA#D)-dTSJA~;XwKm@J{JkZZ>Ao$4rW%wMJm?`b;t~3~cER;gMx~iwR zJvIlYT!Pp`2&38n{o^G_O2Fx)A}wjgb*vHd5DW(2r-I@Z@O#}x08@A7O!jvaJCVah z&6p~RsF-^pN$0ms0I} zlGFpayxN7jP~zvJv|AbSURH z0Z6NYhziNPj&*M7)ZM|-=@2uJmr`9P>t5~A=6PT0Jltezfw`#Kl;Zf{&))KOfR7N?%kIniqr1gP-) zwNyX>$|95=a7HiqSSwl=Gb30pj-#`424VmV$hZ-12O**avk_u4B>mkNx2Zn`x1W*^ z5!wg!8dGoPKq_quHV#Mf+mCBRz43>e$E0Fl4m%@GYzA;6LY>Btsqm?0eB?`bz-b1C z2gu7I25mw4RQ3?um%VsB%F7B8t6+e5NDf3)ATw7?B7k289-h6k^G~2f&5*3Sv2IlS zy>$69TB%i4j_{nai$%wC6=c{m;LN%-yj6RA1v(U0_yc$?tWZ7Nh{{I_1_nR}bYU_x z37U>j-J&;dbo4kXD%&|zkVvr+3-Q$ppZNsXTgaq%{S0()T{dBN;c>&pXYlZqrDLL% zgp%UW0uHq1ZKe>5xWX=AS6>Sy3v(>4_oA97#1^Q*+BiL z5SS{rWF(Hl6O7adajcuWqb+#YjkDTHKxzyEK~;*MiYO+=s8Wv0H$_`H3^bBZYa#$P z>Fx>+w&>An7Ip;2!y7EKrqK<8Mq!uj?hF~vA%6ve`|l7zbF}v$Dk7acSeLiI>BuDg z6-fF%qegNvbt#M5FzLr3u-EZ7?q-t``bY&rb)h(BfINBfrE;izLHs*#w$0>7VJR9F z`3Qa$34O?!zi?qXHMIbVYNF5$St1GL5X(3LC9F;F0Yqw7!IxGbRyBQ408o+szzxq4 z0lB3tiSL}Sq$v;po+PcTXs?H-6cneDP{3Bo8hKA9ZZ(>FKvdcy@TbqK`0hZ&HHeV@ v`m77GLHnZS1F5!8Vj`1rukJswUczbFfUnP;D<5YM(*>-z?%cxLL=i9oiUd)RB$xmNB#Y4G*klkTHc647AVCyR5Rk0oOhc0-(zWRTn>$&&ZHe)G*gQ@b;}`)_U4*49#`gzmoYjpsb)InTLoRg`3?DCj9rC=?Z1 z_MRFFbqM|)ynOTs{N>m+t{(U%=pe1_pl)a8;B0Jfic&Oocx-LwU~T#EqLZopQ%gJB zTfDb<`LABIaBz71ROs3@n}2-+ubsX5wWYW?9i*+tvN}&us1wG>zXLe2bW0SE`5E{uk_)%#OUZKe_v|^j~<`f zmcx8+LAp=)K@>fOD>Ay6pX>AerbSWP z+QWxQds{u#am0-uV@uPY8kp3#*XJi3gu04t^hADtK4f1$xF-Nh_jK~RDjNNE-<98a zVIb6H|8ifk4c?!ZAUphGCEy4(18!vGL26nWX|2a-qvRv3Y)-|p9J)hrDrRiB=UT%J z9_>7F^LV%7nwpxkr%oldC(Br^Otz$9g9F9xV_{-o?`X=(zCl{bt=`jxMd{2luFWiZ zT0ZD99xOvllp=?jN=-?b9&%mGUUv)4ta1)zSMHW!c1vLrarrjmkmBfY;30SmHkY4LDpKG6Z3M4D=G!yunac5^TRSVQj;$ga7W;d(ZhZaanybOIU8=?)vmdMr7&hnLU+ai}p*qtDVY(QJ)K8 zu&gc7w`aq(4BIDLqStmehMD;-Yr3?IvU3c|Nsa9BM3~&P24)Za_V)Iz2C==wr>!Dd z$|7rFLoZeo2i-OX>90TV^r1X&U$fX1aC->XW9X__y*;?-&|~0iInfjzCHOS0*mf}U zgxHQs$ZGusyJ_TE@LPhGk(*|SL;ZR4oyq5aiVVt~W}K_HW3MR1;FiW3W?>{HR}?-Z zxbJRdzyi?UGuoDOlb^dpPegc?T&RG$`El~xA^|y2DUxPTek>1VK=q1>Cng) zIUQ|R)!uS@I19#&9jgyO=G1BKXJU}(7OrpGeWm60*2t?9tLb99=u@Xoxr}<#In>c; zafpZ*+_-TgB;^n}wZ+Kimrbp$JxC+G1_WebT=sW2G<9_|6A~_lM?_$!+YqPk5;GK*#}xv(4p@h?XvGB2Z`QfJs%{t_pE3QnRQD4x`%UpMa|bKYqcv~idY&; zVN+%nMPE1eVrhH^`+aAY>G}96sgNfv{5=ds)g2uj$=#K^>-|2gk2aSlWGWk=_j5*5 zOV8ec`8-eSU-xXek$rde1f!72>({R}w&NI@368Ur=z3UdZJXUe=V2S!n-N!aei_|% z-+6ZV>eac|i_S^K&}Tu?hx~#9s`O6F0mmMLJ;%k$jX0J@ZGwYkQ4bvr&3RQ-)q2I- zgBmt&W@c%p&Y#z@*$rOo%H7y+UTo+{mB-IF%sX9xxvlp+aOhoAlblC++0!Zdkavkv zzFR$&u_O)CEU^51i; z-rrrM!gpbJ{)`3H=Wf0bt-Ve;23F}7*o}9L!cH3f?yy!D1fpAHm6gRvMW~aq`hDc6 z1J}XG^XL{%<5IP94XZc%a5xT|p$Z*g=LNpX;mwt)X0w8s;(l9v@m@~(LWuD>-Mj}c zSvRk>Y<0%(X=D$EajFMy50wnqH>=J{N=oh+MMg$)v$M;j$Ga0)EnA}aWs0g{D7!}e z)&gsb!$v;F7Qeo}-CKjnAq|ujxNps*k9A+tWW=*7#tIenZIv$&|_&EsQ#ubIIX zQbbJO{&Ri(0dyCq=Gwr-)YNR0RgS8XQlQ7DUTb05o{ZIJfdA;~s{%hr>MOz%9A?zABaqV_5}0ZF=l3XfxT@H#dN4!aVMc3xn`hUsu#eJLMNpo7^{H;ClPEYD zcPFof%ecS28w^HOBht_%L&%YY7*~t&Z@~muL1nJjyI{`bl$0>{?%gX|li|I#4F_U3 z2!q#zQ;hGegW5(fmb?w!)-+*V<*!xm*cUOyZml;DrC-h=khs89IuoYiT#4z*%-+7f z%~LCuF#LuX@y})ju|y%XjAG!EyVXp-np#S!KQ0gZ-yV7<_4e&s8Jm66Yib57n=eQJ zM&eu-${yJ&qtO}bI~uL6*EU@DHm7F6bBRo@E5!wW;)ZiUlEsTq@o3ERwp8jGI2PZZZ5IdrhlhD=p1j$s!Q%@fWLoe^F&9Q zVzkoF9JlRtE?(Z8P%wdn&*xwOChl%%y=Tu#g&d|;Y_O!fyz6MqPV{~UPBnRa&1J2m zdN;doOQ*oB@!_ZGn&a2PSOd=8kPKPfsNS#CEvJK(NSVFcp}sU5_jW7F&4!3mZ5S91 zj*B?cBCf3!=xhiMgC(*#l|Am+uMf9wGu?gmJ8Zqb+QXyn>(}Y{{hjo?OhF#I;1Zq_ zQ+>4z9K+WahjTslR^nwUm34GJ&bYqT$;JenzjZ&}eJcY2n#A?XV$8@JFsZ`>2u-C7G}MZg*TjfbzT z1)}Q%8Swy7wWng92JY=liCMMAiI4`%ORE0-I_|c!)bJN+h+Kw`b<$|*Cjw+JgtNUj z)9O6;lVxU{HxhO=;xOafw=6X=m`u~=h%Gp`h2Tep{^T%ZJ1-6)PSf!D1PvGrD{xC& zqrS|meO9@a;2FDI%t-QpwM`0oSBdJ%83_sEO6lsbb8~);jjaK^o7tMp?XgUcO#=`J zi>5R)GqVNW)nW3ZITMY03)tTd1mBo8osEUL0eXMhzkx*1Y4zy07E#? z4gh|pLzP9_rRfaD;{~cxQtn;2ZA;u= zyg>LDpiwQbD?{$vHg11Led$GCln%LV7$ATf@HxBYEC9n)Xx0J{=uJu~I{n8lX|HN0 zjE|4&?#3~+;&ZDqi9`)#N|@dMB%VHV2E06<$nv+#Yx(;|@(K#X=4;hiA8(ms!5b{Q zRO%8OGGOu@=Zku{1O;_qFe!1*C(oA++7?;&sv$nWwsh1-eQ0C6G1T;&4+6YN04^|# zLzQcQ;ieG}^QB(7cVlx=45nG)WHi>!yCgMxx$MT>RN`+Qy)HjSZLNlzdLKRuLi-O z!$i2&5yD-Rg+poK3Djc+e_9@70EG~^(a_Q1!LK4-X>Ceuzszva>UG~I*uKc|L{3Rq zWMumEv_$|tzZ|j*uquZPm{5E||BPQ@H1PGW;q9+W&YFt*E+d~0NZ-2`LsYziM7w;7 zKE_~sWg8nC^L2xU7w^3fae#N2B_I*&a=5s8s2n)cud?!K^cUN*DI8Edij0U) zR!~q7Uh68|j#HJKU4O}&UZ3C5xjL!7!NJb%dy$Nf_yY=ySD7{+pP0woIP(|84* z`#;S(Z2x5;0yJD)2=?~&2My{u{R0AQ9ByY_`Ns#P6{0_|3kb zvjL2z8x4L1+@OY@ZP`Qw)~2Jgliy|40y)~EqK1f-yUV2P#)QxrozUOF$!G&;D}@3*5d{ZVw)!YVI31REOO*VsGBO zxw<{PZ%FMc1*FNnN~RM?yOS&l64=oi@204$16Q;yF`NJtP8K?pKbi}EY_%bF@G7t!D;bBgyM zB+;<8&T?6uPPFVy%UGpT@66HuBneg?X~$#m&8f>8+S*7Q%luT#wnPt3NEa>A&>bBr zvu@G&)^y>8QYrJe=V{QysF4R)(M-i?0f3v`K2#SRU{sdCO(5YNEBfQdk6n^stotk9 zzkh$UU^V&uW7LgD_Zb6mu{ZUP1Dl~UigYO|_Q(^n~=MehGdFXjM0vru1UC<%Cr6UKChy$S)5MW_yW=8r# z&P;?*blgGc(DP?VAER)d>#~)r9r9cp9Bp8*!@|PGjS$a>R#Q=VU$wI=Z}9jF8L1=H ze}OQ|Yw)CwW($~z-9_VqUOt$RUTXm=rn}le9mKltZx3sgFaG5YiD}U4d7mdW^PHTV zTO@q0`-&Ul#UcLc!5};+>air%!++R53x)rjVB}0FSU(UT{qGLCCQQ*G1DGQ5WSRE| z-KG9phaFP`UHQxjr?r{|0yxvuRC?#(TXGhIqHPmIZH!CQ&JeV94!vGEZ%iI2q zF-1K%_`lTW{|2@DpA2~JB`<7IKI=gOe;Zp&NWGyLD#0D$kkeDHFD9_g5N30ZKV~aR zE-k&&#)d-CAAmlOgoV-2$%WkCUuq={;Eg=-8D-gGFH*^Jcg4aZBgqM8QR0`yfp;eQ zeHa(`hwa6E%33WHk3^v??tQTS%SbCE$xv9BMb&t2{eK<`Eaf|JFlQ7kB|YD_so3-r z!mk6XeGs^9_@k+$XVxlTZX^*q3||>$e1>4&sQB9KFqR|5}z|JBYtV* zHh=0U`Dv+>k4b+w{U1d|(?2i2o;*yXhRK0#NMC!xldD^t4t_?V0;v9D${k+**NvDa zMvg+^$n{EWsT_`_r+n%;K@>om6KCZ5F3f=@z{x$RkDlk?<)wBwCjJVUUldNtw9Y#u zrQKtvKxl(RH-g35&Ym!`{9?7QJTWoxl9$ZlSPhMaE_MQIWJ@H9Nl8E;-be-o%P(SdWk1tXqPDT9IgA?OF z=y>(D=Qjt+p3*Qg=XT+>tiHWxK}=}%-rBXwwQfBjaN}%fBns)tF+f<_SumSD|9y`t z&H%sy<#{DbA|M#rd(SE@BO@Pz$u-OdMvaPDbYM75K9UzZNGO81l?AQ)>7lpF`dr5A z*M~i#PhGx`%ga-VzHKKu=?-xdkkoh{Xbtr^pI+hp^5zR93`K&zOqn32kd*J=70AfQ zIJvkob^GD-;2yU6cW&Ne>~%Nk|MVS@OK@=T9%MUGBZ3fTB(C25zzcC6g_fOHDp!68 zJ67c)-aR4VbM+j=x<59M*-4l=I(;tV@)hN{tmi9}mOw3GyE4N)+#vSi;^GR6k2lKJ zg3v)8h>|@4F$idiHiU2Dhl2&GCn3Y)AY`@4f%KSJsG=iYHq&We^s|o7Q&oCf+Ifu5CX#6vJMx@U|}=3%x0IY zE;TT7U%FHymd1JWrWy+i3#3GdU*DeLcO+@RY&TEXTQ-Gp(%*fShmi8<4rI^R4if$b z(Vfa-*)VS+e@0#bAUj>Dgmjj4Py7`TSZh`^y@0iL(Hg9JJ8=7~=mN8rkS=T&>{ynP z{%lyD=|zwI^6Kmsv(Ad=D-O^X?C+5;uuPqQmd4hmlY_c@jFAQ{%ns70P}crw5rEh< zO2oC;tToPUKma(}c1UAc74RW%x|4I{mK8Jd6CdqAV;P8^;p<-w!(W^7KaCS{MD@;o*u_j-Rrc8v3YX$esAfv`U$ghc8({KhKzN^in zR@%v{^+qb^fv-M`lk^ecv!{N&=l+@VI6XFjjPLT_Aco_dPvWH#8NoW+iL;s-BDCe< zM!GYLnnFy`bx9+&mGTl!_&EXpIShUd<9{_|e@(RZeSYzG3RlsAUzUsKsu10z z%*Y!^hG(bbC$FC}Dd4(tSN6uJgdf#YjEIl0)n+*=ArY_u%JWD%d?xle4aK5kRrf^i z>MqHxiPNchUeIY#?M-bOPQ~|9jFa?hhUbONG;=EV@(d)3)yuE8j;&-A*5H$F22nI~ z<0CE`F)tj$|K18yRmpkhwT#WBQX{W3Sjt=1@Zr9he(xA>y5y@rG?W%|f6g8P4|#)9 z>O9#*UzDnLkqND()&0cv@vv{^vN!04ata^L$ewuLb*bnmm74Wy^-s{{ z^(=s-iCLSj|44OjlY@cz0drp|Up@+Cy z7n>J6{l*!GCUxGzU6;PIloyRE3RxHEo^`!Lbi};&sO%r>ayH^=&zC;l7oD_%MeS?w#>=a{CR{1YjQDzVey~hucUuf+C?%?bXVns6M$bR) zv$4-mkhYr4Xikm9wT=wgyH*Hkk7F>2dcEEgO$=t!y zYUTZ^iKWOtlLI^?a-5a?8fMj@&-Q*?VR~vbhu4|8I;*5o`_D-<~3cjH~se9CdtiBC^wc)zoG?YMSzyQn_Nb?(0lVf0cd0vRrOHwQuHJ zjlC%iL33`MBR56zIU5a3?6}wnaEo|C5eyj%)e;d0Z59LaU)RDCdC;BeUt)*}1$7MTHN2 zUte$bgqMmmi85s6`wuj6acRBncb$7oL!a`jXY?`6sjSkYH8d(c$a3@D1fr$G3YSuo z+(D5mH>epj5pFoakk2_;)4#S_;%j2CTj|#%;`=I8#@jTUeU3-yJVstKNLJy4`lnM8 zSQ?s4438v{OKAM@HTgHcE_<042(%2PY@MAf#K(5#IDKk3q17wx>zX6S9i}B$dXRJm z5SHhWdh>H!PFiH~HE>Xu_R4qu9{agEJg+=!It5;OC^d^;lG&Rzae z?w^UjACzC(@vq&VrYPp-9mx3bJ98U34wqQT+K$y~s+Q#+Kc*$_hG5N;7nyREedV~r z^?qRt(Otw|m~5`Axx_{X20?3D?<2i5^d{=s?+w0C#TGAACskrtJ9AQ59D@k6=(Iol6+-) zMStR~7Dsxi57s^-L8SnxrsV7C#Cq3ZgNJiXNFLUCi9N#)aAtw`U=qkB$}V z(J(TNGdrJUq)nksr1ln^&+o8$t?N+n*zsbu0{L>YV?u%gxqqhZCH)UNycOYYwyPznWKm`|{xBW-PgB;&2 zwHjU@byUC+-sbg>X_`rtQIAJjdANVPNztUCf_YwAl3ApdR*}kM>n~a0N8}ZFci~8~ z4g$9ypQfx;QGMQ(s!ATD&*T`>X3~CbVQq|Jot*v1T5{skKD=`6!uqqKMU{{1;}I4O zd-|Gpq#WD0d47g*`nDudFO8C-rq%GYEISgY7HVVyjKC&tnuhxxQrEN)(w@eYH8^YN zd05zMws_Gpk80?@4y`68qv7CVndx%YpN#qqRI4pk?n@2DhiC2}q!disGrguAw`sX^Zxz#(5`Q`;byJaYJ{hOF8p56Jt~s zE$5YinG^CdE>TAnEvT=CaNTs`;K#{UDlg*SdD+{va1aCM9@2!nuG;A4R1L?bBi11F zbn4H?<_YpgNM~ULZR2I!l}%zVnA5y!6DVRFL|Ra8{Yv)DT@^hw<$g83pU7dbX{@G`f&!n zwflHo>LA5DZPxOxOTH~!-W*S?L7I%53ie3=;q@C*X}3{H42YmA_^3=_Vav6soD zK;Y-66JRQ`I`F4UwAg5v;K5uOzcY#Rs&D)8HOrZ8{xE0LHkuV_L^t*S(cJW*eC}4iUo)0l z<>XqC`TNhfXg&jVG!4@*+Jjy4m9^%E3B?nRn?Dn2jj5%5$vB1hWSycl@pN`=eG|Fd zqZI{zjti+As-8;)JTU7!_`L6PB*W|^KAb_J*Lf-LD_-DB_(ztu3fW6E z`fvG%Ipt})+RLqWj{Xia(%p>C4SL)+L2)yz*z{GOBMI`1nFsomd=Rb7s?e1@zO*^Mgz-KZ)RW#+8zj@M>EgE6kXfga+K}#NbT{|+ zmd2+4`(I1vm;Y37;qP`A4yoF&mCL${bPUBWV<)z)FaTVxrz;vuIC(R4bATmFTxdR$76%e1|kGm38*W6zw)O!;<_O@@q{^X5Ht@E5svl$d*YQdZqrs@3F+ zou$3ZIL(HyE_X9SADz>zl%SER=^jnc9NipVp~zKsEw<|**hS*D+x)vOiRu{EzHepU zq^=$^Key+&XA~W{wB7kh@=;e0Em?22Jrnf@rG{%&U=!!^o*ZLp6R&$M?1)}8*^SXl z%5|RPC`plQE@mdKf4>wv%>S}^w+#p9Wh8H>gTkiyYDZvJQf5Q#XvQ>M&?&*m zJ;w|V%NR>{Aq^SIg$tQ&3HAH&TK;uvUEJ#zL_jxl6K+_Z zIg=Jfo7h)cEk2w!!I7MxZ@2e8M`AvyE7$S3&gP?|^ojNR*F;bsGz@3Da^@Z)4`2UY zQyV1R#B0x7P&tTI#p-_$V!MZvfB1E@A@hRDa*!A*h5_G|G{mWj^o6ZIf9nsgPWeR+QqW$I}_4Ljwd zRxjE0$_+&!`nz6dJ&)9lts$s>C!c~Q3^S;}U!A44nHtV@6(7dp`>S4|Q#jh6jb_^j zKr&H4Kw*CO(Z@`esJ{Bwdy^)|P@bPZ>F@}ZKZ*%SmR#MORG1gmNON`{z{|U^b4Tgy zwt2#~AqqREYHgZovNTqQVaU=RZhSKTCR}5CLnGg#{C-@!)}iu3)$P*j2pF54R#`Z6 z7!{zsUHTa5b$pIkf>*v=<@T6i0O=!6;D+%_UaC7+pxe6U;EB1Zec3#6)x5>{!nK(8 z_vAy)LQJy!TT$b(6rL$rlEIJqxY|%_KmTlFIsZgpm(YCS`kKQ%l;_sT3k$@qLuz~; zkJ8qsB4lP(Vr0b6HjI4^#^1#y=ou$B|RQbEtt};@~ z$w;cdsdXAylJ`B=eHf*vYw_M7a?K{=TCoXM2J?y5x=BOFTdPt%>7W6<3UFedpFqwR z%zhc0EhASp(+7$sF2|%Sli;(btoNmZ)KrQ_zB>Fud5*zM()Ws}ehGZlmzOKv?8Km< zldAQqPx_YXNqS1axM;Pv{mHK&fD6~)C@BRDtSRrk@h5V$_bP3f^qjWIJW%cp1#*PIqz zU_C+WzcUt^BjZq?_!+r5sTm3gIuW_FZnAer?ZcUVBcL@w25Y(3c! zq=^%*%O;;>)6?q@mvZqrALdLrwtU{_=JBRAb)~mpJ`sGcCNI5eo6%7_7N!5iiLKP@ z#5JWlnZvhikD=Ngtl11o`lNu7vVc+P@X%6O(=krxx4k=+;(4X!I^}%pwa()2mv$ZU z?wN)UVf$+}(hhM?&3b*Us00|P+)Dw=MW*^$nV#s7&s&?km9sB9C#QPUcM6M zaYvl2H;WW8rQ6AwTT&A zGpf=D2JllzXsGEYZA6@<*)M8bb6DqU1h)BG@MU~aBV^4>pNxTi>nsgTDk2;$EiGjV zI*8NTJ`p}M&)l)LIeB#=62tY=whO%BR;`W=f1x@93jjOoUeLEJd_<5qO}WUH$?gHo zxRLwI;x>?j;^O2~1!V!~pXbJk&kNe8Ku&O{x!12=NjCd?JS1!>@@w|&iizq|~-=5zQSG-e@eWW-bqSN-c!&?;Uuzp@`8e*AXy`6&f z;_ZHf8J|N|U0i%y^csi|44#d8vs;fj2!R^;*>@XYsJm*skFSjdiDi21?}enmY^WyR z59k0%8Xl2ayO zE})z(0Uj-L$2U|CIu^g^cW|qqo8g2MYOJtxH)PB*2L|-_i)pwq99&#Y%t@@4ppnbh z&DJfmpLjCdIS({MUS8ipzQf)V;aiUf-FXJxRl*IW8iT(OoE})k_Or#EBtv~Z#wz1I zy<>YUB&AD?8GL0DO6zr6jzm!X1(-*KF$U$8lBK03qH%Qqktw#$k0!s@y6O9OjTbLo z6!rX^cLGw8`_`?M(nVoV5Q7#jIj5Oip*KPYm)cLASu-0th;9GK_^_*7Gvz96+I4c& zh>3&JI~Ao*dU$uylxrnsoI+RMeB4nn#}Y4xM@8von@_*l*?9pP>o|K=8PGyv5T!A~ z0^fL4Z!uKydXisekPwOf^-JdI)eX#*Iliq#tW?WKDM zP!Bp_O95o!3Tkbupd#16j8ZwEEt0TjQ$Q1QId@~4Sq@mt-R+Hdd)0=}sHjZHzJSb%4b4rOahbkwme<@rOap_kb7W6#X zG#gfs`c=2J&G~2g6yxq*h4AB`J4T0qu=Nt8k0CqTrNbz0^NoX}Gkx}!24*I_)3)o) z!dpNvwA1;(u&#PB3K$G7EV;jfM;7rrJh#zh|V$~c}blLf{)Kx6V zKwV_hkMRI0it^U3pTGZZrF;kovuq)mrvwsfL>mTDl)u_y$hgB!Ab{qn3smZV^=*jk zIe?e?HUsG&PJZ43qr5;A&Wr>nQt6D8z@wX?{gZ%(Y82LcW2kjpCV14Raq3s=0a zP^v!Vtk|}r_)&Llg$2Njs@~p%x4I^z4oHx*!yvn}^|*zF`}YT?RvPD>kZB=IC;2OF z?Si~5waRTf({8vbBqc*V9r?ipL{Fv#y@kfLM-1#6*&xpyiU_x1(q?9Jt0Ou$t0i99 zRc)q$s5A+y*p3 zp0u){)q+eSf6Opk!-pSZgTxfKx$`?D$_J`QH;+?YE2f*PjVeZ{jq;H2EKNNMk_WJ64j()aME`=)iW4;8N<7N|wPziyEJtTchDRGz8x-U^yCEu)C zE>7otCGmd2I-*DYtMIyJm<731C;-6q9USqXtZnNlx8GsGYNy`;C#VSiC?W2i&m9N% zp3LaA9CT~XOSL_!`V72k&|kS1$eT%^tjnEu@w`%ZoswtxV=~0YZ0IS6K=oXV>Va&4 zbCWo!7o}S%_befX$!;oYp7c8bhiV*-vZktP;;kQdl8dblM8$y9+>#=e8T>k?3TCxU zhw)+fh<#>99>+q*w#LlFo*J%{Di{XiVFSQie*0}m%m2plBbqg%ZQE#ou4izwMAC3 zDJ^#M2LoF3jC|V}GL(4j2*neeN1+V2J;Ro@c?R!LSVpkO=|cvz^oh^`stW=*C}jvq z0X2qZe?7{D&sl6L!lFImDq3w36HMP$EbYk+*~RKG1}tvG_rzJj-}ZwW9v6rOnkm3q z9VT4myU9T2~}-KSlo zbda_%fr)nf0gAKVbYDS!K`gzPaASFk(yjQ0l=lP^95z0JR){r55(rN!ork3c%KAg< zC6$#J4?TkXtNw=Rck7?Pp9S0ta7jVrFGH2C+mVn9%7E-35=4T`)2jS_g2XLKDfwd4 zS#kF=U?~hbgmqY`^%9z4BG^Ymh8hV34?jvN!dR>$aNp#xET{QN!BDQyeWM2^(*T6a z=^7{7er648CGed0&X*m!EzWhn1=IZ#^;*8eQQI6v29W(y5x+-r6zAt@(hG!JS>snkz}MF;(sX* z85@i7oC`$V;kmoG*4yTm%l%e-c1=2dN1c$}paL@i>9?%ndonUsKl6;E#5}5?-XXXz z=aj``%wAY}rEe1?bNC46AzpI>XvmD#{{a2)47Us3RO5~N51y`9%r>Cnhee{&fJFlN zk9xl&D&W40VTSw9P`#1GN~HnYP5y3W*# z9B7w6V=Z#R-?E5zbm94+aOZcL(+1U)0#pQqq=27}efmStWh&MgM3h?5{0FJLjAe~% zTQF#Et@cC-`i{5pP!AZDspsq1=4@HE#ml1=I;@L7vG3sHRi@19o_JqGO+5{1ELgy9 zC=0~&ke)~6Ok7v554zpIbw6pAKb12n(B;dQNn#MFmp*`M)9B5jZ6OeX9@cmj z@+Yg@nzBRO`2*}~^az5%K+bCbVx+ZPkkUj$elZ*Lm_*$t;!>k;tndN8nR^tD7+>u= z>Fd03xYBsP&}5nCl6cTAHg&Cg&D#eud?cE{?~LAY;ga>OWr=TfZjwGgg--2JnUi*I zWcTl@^T}|=e-n>94EfPU!Pqg!&fa-e^hQOs1Tez~^-t0JfjvQr7eLBdPR(#<#Hhq$ z-+l1;R4k&(!e-w|V0q@M9_;n2ztNJPufpo?hCi6&k7eff=+>|_84$z{?)}hxUg5xy z;3Gk@^Vp7tJStMFR%AD92(o1@kh3EqGX!uKTOB?)*&yzV6Y)|oh zSbX)G!&E*~H1ZanM|@Fbo{3h1yyPL3IS7MP~jHMnqk$G1G3>~*|g+` z)jstnXY3oWOQ|jSNXu1OSR}~9VL#Au<%)twS(dM@hk2}_e!hBoiGTNb#)n`%4}Q}K zB8ITZ6SMVh)6mj3!5)VCi5{pn;RDq*)w%29gXPXWh&)%T=-?XZTD(pBP{qwU@4m2- zKjGq$z?2`H>k#E})ZEA1q_k}6w+dJN{48VgyT*GLs3&mjRJ`3dVb55^0|{-9oiXOM zfv2rqu$T!iipCO#_Kb6{(#{mW48Fio0M(A^hXel5=>oz}PF;HUa1O zNE%T3am@WPwEnA;O%9bMSUZ?`)CUSRI6OqCF$gSogW5kiIXNMu37y~w{Qir0UbG8o z+3vjSp?1J!I?-3d(9oS&3{{kfOdEkl z$fgnv$2@Zw9+lt9VI)R<1PR>dV~T<$uYN2>Bv1q?->$CG-7eFyD|pByi{$u0#jKvL z6uS!AjadjEzrmfuUOas_|Ygh;L4G7~1bNS504i@InM@OGQQcC9fbcS`aObyt$rkkQ=y|`}1)+`0$xP=kCVY zTL2wNFEcK(q5nlH5DqHWaBeLUXzaD1!f3KJJ{L5LUD5&Kv5?y%4Q=!^Ur!lcvr09N z1ywY-8;g73rl;ep7t=46Yl4~Tc(hXd?fOx5#n_pPj`u)z&G+Clii+Wm3Q|DS66NW# zR`V+saZRO1)0yZ8dHyc#eVpAa?bd8~B?w@u`;&X+ospH{Ph*uTD1Kt}a_`d)JG#TD zepSVUBXSk|OjKE^b3Qd~+1hjkkITA0BlZ++%9B@phY49OV=L#m>|G%xq6*Z_1dV8~ z4Xrm>FU@2j=YS<(f-(1)Bfb~C&G0p2og$05kv-4;yGg2ZAAt!kCgINN$Py9U0 z$)|UXM;>87fPJ^zs?$gI9=5@N&H>3J59xl)=^xhN#@8hUi$v8kTT|7xeR)^{D`E*` zr5sm9S8;z9lH)u3E02@)TN-E=*lZ!Q$ONK=bw(tUYpPpyO9rTE`WX7l@}7Yc8mCg) zt^zGf9FABBV{Iu-DgUSY;-i7;+aQBJDd`C&H^QFhmCB;~tww_~bQ?<44wn38=X?;Z z95@_Py0YEbSYTPczUKNzp3v{uiI6UP2R=~LkeP-fxq*0lxk9mOB$KiAVBWosyq_lQ zXQJqdbj-<=wz+2&qJ!IeM>Jii4BB`kz}`j;&ZAHlA47V`%%Dq;8ZXV9HJFQxyQCo< zwhzs8hXQ2A%Bg9Q3`7%W&U+0<>x@sv;4TvZiR9~elq-YYnS+Z@)=iH*19k`36W7(T zxVtt3MhSEF_>g+B+@2mfQeh`)>kamV1VzgavFf30s%?sKisIR&8zLrx^+t#oQz?AV ztgAq49RvIVbpWZKPg0GrKb&O?qfT44}s z8*!a+4}eoJW;DE$!auX=_qcEEtEtF^L0=lks2jqr@nGmPWc*d@*xzqeWbYiuyV-v` z%F&UT%HjfJ9-%^1O79lM8Y~A*gexl=($Gp)gAmn8H(BQPqq;sI8xonJ0wWEBj*Ss% zgK!3#(|=LWQwPJI!)|wG6ck^~%gncMcWUlyC%!c=?i{=<)U##!l>OJzX5oZ*B4+o6 zthDbT4M=Rb+vwuVn`Oy*FASObQURH(7zc-TVIz}w=0YE*lGd8?F$aKo3Fl|SP9{EA z|It0RQaoMRwY^HZU0&qiTFk`UsSd!LI8)WkU5TVQW;Z6c7Z1?TYS1LO6uz^5KUPf7 z<#jfy!oz(xw0piq3$!rGhF{p+VE_KUB*ow|*))XU>xKR50K{%t?QK^6m^+!AG3BgQ zEl}iIW(2$o(1#W)FD2oOvVxt_+85vjH-Zspus!wb5J1;X{Draex;!d3O^0ggefu zAM%;PZXO~h%deD$1Ky7=%O*B1KXW6@R#HJG&_QYHjzRA?TTie!QNDm(nJ#onc`!s} z($Ot;Y+J3*%*G0CxtIq^G6=->@Eam=bL729Al*4wr>8$@7{({oEXx78ZDD7a0mf!! zcpn{-MVnz@{lTTkPfgDMWKLTK85lU7+!ruc%vC9NlM|JHPJr0YqD{BxXqS5RY^qpn zr{Q9DU%GNPvkGA9Nt^}?Ya9lbvQGwh@3I_LJB#n zO7ofY(;EXO;6#r@%oke4w5t zFn_JB`<>)OgoXvA_p7sSeR|cDIr;8AB&AGnQaqQXK-h6FJ4rIA*VVgE;=N?(*wR*} z+04q8gKgxq-9Y&*I7^pJK4}w$+2kNwurmujB^SC~e`BOBay(1ll9ef|s2*N`K?7*Ah;@%Q|6-K<|MYNELka1V6PmZ^3Ux+!) zCVj+e()2HK@gzt==kp#s@)GlV4y%mr&c} zcB(%DzznZN33;8RF9Mw6;qo*9vK|O!xNx^x{jakVza{=&GI{;$PPT5zZ6nB1?audg zj^{01rUJA@Xt0a5C=@mD5C@NZ8SS!=IVAU%n#x)NTD1^>c?g62+U(wb|3&mxXWqI{ zu9f89KwkW*Bs8iHx&^VSPjYNDhEz%c?HWjY0n`W>2AqbAThvZBeJW!X!HBqDo)$Fs z4sbe3Tx9IF3LibNJX`G1YimCkzy+?7{_Ob$9i?_a3IHs8;Gukz?j)&2=$FtOXAj!J#(3OL$spZJ2Tgb zff&D6pqol#7&~|a<59lOC-`BK0UkhgZ)|Ix@K!IMM?RE}L1TPID|0}LCPs+;K2FpB zB&f+~77CeH@&!Os0xGZaZ`laZxu}w1@5ddcqn-1;#-3;RiAr{o6cKM4ruL|oeuvF- zF?T3^d*ALAh&0Td-n5J5ET%v3-f76K*nd@ueyo`+I+-Dn6_11{WF0wpeluTgiNBmsLmyTpNQoyhnsNn1PDvNtwJxoGL`L%)=C4y$YQ}y zWb27?ToYHtn(JfsFV`ts3<>hi)g^{Z@rgIwLio*V#J!IMZ$PKp@(%OKhKGgWpoA8b zwCguY#Na9oqTvaNh+YzeNg?3=J3TZrKjpL2e5`>I*@kTliwre(=Rg%bMfS zA}+pfIUerItQORAn7=bigUClaEM`r{fPx301^g^*| z*-&6=@#{NSu{#KLY38dssL{`~oa?T2SVDgCZZpy|KVg7Ih#Jk!2P%O>r^ z0V)u4=QmyTyJQG-fQMjGCa@FAWys!R;<+5&aVe#Hv0r0mZDx>pgS2_gnJc}NtIg0| zS6;-$@`U&8{9ZC-Pu=Bj9@b4)j7|e`eJh@hmX-@-@}4wgN*_9Nz*rNjZH~`3adi{i zHk-H{tjrPdDqS;;wN}F)M3$-L)%;v8k)(q57S-_(&vh%25t|5;4FLrJY43PB)+Fd_ zpAg~+5`OUiycqsLd(GbwgNcB2$Ifg)em-&=fk!lwZpmGFb{7KFmFhihxZEa2$$Xw} z@C~ruj%fP~`4D+>|A9V-1o8fx{u7u!Ha%E>12)4dX{4xToMHV?yh? z+PHNns+vX0zr-}7L(frbbUN?ipu3@r!L2<0Gjd2@+AZ@WGJ!9GYBwT6!GFnsN&}?y z81igfXhbZ(ys}c{vW8s)fqqD#N#kj_vV)4Ak3%K(w#$=KO0k`ShLEZ2iiir2Bvdx%Blk5uUp5I~6fRc%@w2Dxjy1+n;f)F?51&_v zrcQ;EfZL@$8^&4Q#se`Ahz1z%PTG`b<$K@zW*bgmm%)M#&Y-&_oWNF2+P)4m=BZ29 zb`h$Axe)$uZ%U?~CxBVZ@afc#uF8!eJk+2dh6TBO2FbE`AE)EGbLZ!N6jH>ElnVk4 z#twDW+&QI^NFKG4Szg_|L?@h{E{9n97#-3u)tML~2Qvt96xjA}*I7X{=i8DQ5<}^> zHDI8-H&af}mjLBefE-a+EhtZb(ms=O^-oIluF{HZO((lR_Bp8kija^lR1jhe!hFx< z>1F%*Kjz~7_4857dibK2G$x9nc&qvvgb*l|o^un3rTV|Lvfw|t+3f#~8CmxK!K>gh zB*-)1%93WJvKjJ-zlIGB4RfG+mGjD#`*2Ge;TPbJ@Nk;XesFM6eB@L@vS>BP6NU!| zj~Z2NPF~nA{tv3MmQfgh=BNb0JaU5P@WYaRL{325^71-}ToBNKT;1^Z8XP|J9}JH3 zeVW4_`^be_t6RLt?iIh)KH{3Fr6FFt&NY-q_O5O1AaKvj>+eGpj z5DAV}+1j6eyKWRV@QRoq@ruuRL7zvzROMRbYKYU~P&RUpjZS>paI)aP2Z zK>>DWTEHIEW^=K!rqnMA!;KPfX;9aGMPAyXn!jim5TGi4b0`}wH>3t4E@!^?K% zN+#rSOiWD~pDJ`+gWJ%`^mDMt454DO?$e|I%!13S(o#}b5o7!>)l!fH{%5t+ z2nvIQCkYu=ZISE9jbH@0aj7d!@dD$W$KpYEm*2pRCOKu3^wRh5BiC6(2{~qhM}>U; zU#^peP6u5h8*DDjIM>ASA4!Vyr|oC~5>m$lMQ}Ij3iq zKhuA6<`+2}^5x@wzxP@1=ZY;+hkgLCo^waFV1V-f7d z>MDz-YyG;k!w*qg#Nm?FqDAWqeQO(Ev=lzi`I@fmw}pL*exAT!=I|E$88(RD|8EXB z{of4zm!sAk<7EU6gg)dPz=sUKx-SP`Rcd_9!EHX182%u>{IWb3v0B&RZ}jTXcol=o zM(T`~mKG?x@IcvoCdOaEhMb{z!2EvjUZVf-ykgxlGBV!dsnwN<=z%m{_ReNX@L5bU zqB+7r6TGJ49!Ee?F$OVj8hJ_o5$}#4Z^#5jAY#J{CdO`$8p_*B+`2D_R9v0I#`MaM zlIdxUTOBXK@tMXL3QIbYKAm~{e&Gs#?~D=or=Rw{*XJ80yE)2=|6bcH+_+ z_gK>UUu#)gwmb>C=>Im^e&nc8#9(s2va=vAt+ulP(Pyq_7X>ydf-KxSQzXuDW`Jc! zI5x1$#9-3!DZUD>RQvPp5+V__g)Yie0kETXK80PF|E$Ym_yd>(%U8XI$IR^L_?H{H zR&rJ(^Ocj~+Wo#!RyAyuY+{CIy8j&@AXqf?npYv?n%r~p^OG?jUfp?p-?$6w=Sq$q zHu$D-dq#GB2}<#pDL#*|e)6ZEW`e{P08&}RhM9z`0qPCyJWS?(OYq8&ke+c~Cfl0N zpR{%bnC?3(*8S+a=~f%Iw_Rj`o;F%d`xKZ&9sA@DG0PnBOtcC^ql6wqx5vxz$o0D= zz^itzIez@nqeqc>7k9arN0-bm@7p|W#te9B44qoPuW2GI>zTA2DcBbP{UXyeX~QDq-q-+|gL3n(_z%{Rtk!oSHoOVd2?7`3v&vh#;njcz9p-v42AJHZ9z zVG0_QULmNd`p<{9YMT;I`7?0y>M^$~*dcc(vKL#(tw-OmtK{|5suv|mhP*p0`I|R* z8k*QQYk>RsIkLC=TuY(vahCx!TLZvlv;eQG2!xyVkSg6$Q2i88oHd1HEsV-fXfBV5 z64bIF;nQU`@7CN+qufSc8yGmAm19;n9@D->4$rUkq`fG?T(vExn|p{f)dV`1j>DOT zodfdX=jX3K-Hrpf-%yIS;amO&fCjw_)^j1C)9;M{A&U`MG59Vr`+PqEMUDJLhRQI0 zQ-I-&89FAu_m=n!1%Ypt+ zA*){jF@iH>Z=SriZ7wb@e$W_6tTg}vtURExw7b(Amy)!8CxZL$`yehzIW~t01lc+e z?S4&4%EUUlU|u~xG1Oc2c#iN4^f2i7im(s-po&2=kUA!yqG!`!hNsLkw*L=KQ+^r{ zm~XFsqCpTj@xjmMfO@9tsi$rksvCytlRz}oZ^s8l_y!&$@KdpYQ(0lXdJkAxne7cEAa;>9^_=yK0 z!jwb36&Uhg@cHD)GO!#aTE53JK(EP#1y!subGY7PP3SG;kj{2?cDrX+@=*_X29XSb z7f}FF07bxox`obygQXla3)eGa*Vfzz7J!d-a@W4?1Y8AzR4f~;O3;0-ECqhAOOnfL zEe_&C)B5bnn|rzSQD&|YG5JnW4(~i9;ssSsihqXKv^Dj`?0LEg#-H+WWk1~|L1Fck zeFyZSUKFUT8*S=9t!r4C!P?qI(utt2`ZwmeMM~q%RoA<<8`v?zfC%OR;~IS3EGH*N zaIpf^vztO8*4=aDtmLlO9*97{O+t@<7!-5-$dN4TnD=6tRcc|fl`GK?)qd*zSe7`R zoNNSF%oO1k#;z573I2&$sy&>6q|q0VYws1q>C;mdria>BAB$3um1Dw$O*c#|k0iM-na9niPjW5IpMT_T+ z>|4#yLlGiCPdR;5tOSRsGF-sjI|dbD`PK8b6|JhFA>5aaB=oqemZ#2*x1BGt#Tn3 z`q2lMltTl9a@eyCm4U@Ngs?6El2eL!%V?_lfdV)*8{OrF-tRmhy{zm*c{9GK$dnCJ zA#5&S$AcKnhWLDs#Xg^m?Cfe~&|yPqNoTrAW4>p=2mCRZcFB{p zwK>qZSP4-KjfYJq4($3%!QLm-Gg@H2eQHv+Mx(?b1RFFSHE3;eP5^b&iW)l|a0(i` zc9FldD$(3fS1=dH?xAgx5pqYY#>t{0@g;~~xS-Zlb_8n@%Qvv}*>vU7z-&vO+9TdB z_IrjPchiEI+28QY^q%F*C2UA<6<*OM$*HLU9$_^M+T@PV60T0*r408+?PXEl3&MEm z>46iqjBosukYENUTMvD(6l_o=7;G5IcLyFKR z_qqB@A85j-ui+y#Pno zW~a^7i8^Mhi`#dkc9->TB-K3x*$rnLdxL_I8W=viaA$t<&CNYad8df|O5qN1(jjEm zGV!UF_8b$(CPw%_T&nDM1YLZlsi_OkbI0%4q{YbcSyAml@&?39@UoJvJkQg0bxs6# zKOX&>Dd=s!va4`@sf_4dpa#lNh+pUKo)R}e*httk)b`eUmWI~@k=>hYFQ`{aD7I&ch6V>1TdMzt z!T}jWVlwIvy&4mz8HLFY1;UEw3*!2JA(sT&>T(UMw}(K%5oqg9Q8}Sb^s1A^@c`GkMpeLGXkoig_x6MFh6?+XDLP492o&)aO@tdJAi4V@ z)|e`_WNX3`n3JrW^Bg|Thz;*owM|21>{KBw@mWYZCFwJ!O`BzDIk1oKRuNlPj#cE8 zE!)U8Y!7d+A5!Qg9$*?lxBPKan=-C%E~xH&llF>%Gz~Di{g@JYeexn{ zZ80sOMlVAG#ebp=xoBSi|ZY5Y;zVmufF4i`Zz)Z8&K zA%G)G+x7JKP>VDosO!b{d3%P}uOfm_Z13fVD9~`=7NJ2)){FZP(lGFw@z#TckOMx} zfwYsDsK~_1BOB~%6AP_p0PI6kJJg6m&Ip8P4%K^*ce%imG4PcK!{1o|q7DX{5c*IB z9Qt}Ym@Y<)2mZ&(ycmf8Y&#)FE;%FfUb5c=bHbeLweo-Pd)F-}yU#m;FT%0fLRYH)1dtf^&kr z;uy^8HVkIX>h*Z=PVwesUHBh|A>U;~2^|$f<7@iL7~yM%x|%wMnrheg7%A%;sOe}k zA7wwvdSuT{LqlDI6ATPmKfZ8OM_-j;C?G%vPO?E)P{sg*A-snETNS|*u7<%pVmrrs z`jUxXU%jctrHV1c5uIsMfeK|4Du zUyvQR@c624omX|T9!)XNyv2ItRXUn~uth<+!l8{ZS zCM50AV>sxxc71A>c8e-&WjMAa`~4GU8pYZ+V-a5GmM}lL(77PVd2G*Eb8?GIPRKcr zmj)do^?eD|ggi61pD?Rl|KP(~6pwYKat#WiZtdu3nd}I}MurENVdw2tYw(&xt*3~;4m46tW|Amc5RJ5dkZ6dK;hvjNdhf?UY(Czf5Tc-^ zMIT_^&#{^O_*NMinZZem|FiUxnaL6+Ya1R=3%nHh(N$s)UR>E_`i0 z!PYL_@p|K6IKz6|oP$S>F+}-rEhdd$z8>TAzB$ z1b$U_cC3nqo}S>1sPFLn?0|LhWV`R9G4(K4o;lKZl@D+4Z6N-bsCDI2PrczMVUylh zSl!Rc-q-4q^#lb4-#j278!SFK@KnH+^7!oNC*grRvc=C$M`|1Ab}HpNofa2&S7Ws+ z;H>lXIP6TyL_K_AAfZZOQ&yvEia|%SGke3ESnJuI105`F&C&`AF6HIr$>xu)j`!DN zK86tFHO_ry*Zdr}?yz)B?$gsYyU91<+1&gTCM?HwFX!58wNL!zJa^x}hDXRbH_`I= zxE^%?+$0{h{ev&bv`|#b(Wo#TE>~)Y=;E zZ?qfJ^gJrYA)QzC%iH@*23a%1LQbSitGl|o1ciihK0Z53md2b-O~nuh%AO5h%o;G-$tot_gFyzdlXCjC*D* zZGNVMM-OHXH67iCtcg5^!Tz*?{Fzy*bLY-&*qrm`iE6;ETkl(jo}RVc;uhP}Q9s=F zZYZsBc8gUO72I?3aM58gDXE=fBLnFpTkr@eoyyBEO;~Wt8J6-*bVtPoW$MgMjZL&M zSlh#Znq(-T>1#6bfju~LASyQVEj&lZ*47(_U1jUW8_XHhH8fgwvt!6PO}2gt7ZsSF zn{{(@y91}(Ovy?5&Wm1S(9)Mp>n_*>8$xb7SkD`|%)j!Ai*FM-*~elr)fFz5GG@)L z5KBTEU_!ldO4nKn}nR8P;{EbO*#sdm<79$@zYZ4B-ySqR1@UWTgPm9fNR5q~g z80$#;+E+`%!LbWVWz88T>|5Dno~Tv(0B&tJ#YrQlnJs~qUq7q31{U;BT;L$Gsu5g$ zyKw*?GXn#X9qO&%px2WBr77D6_t4?Nx4cMdc*{p3KN@e!UZ=aJCP~M&>r;4edU|^H ztHUwLt6`<*^nQ*XDx?i;auc9DEhDoFEK&+hdtY4&u?-%<89u&s+NoU!CT6XU$i80h ztzbr{VBW{t+Sc|=I#wYWE}Y47%23X@{uU{x2_uG=>xyMWZ06KP8+<~3GqV%gS+hp_ z4jgEP)8~RI8-%rUt?A7jQdaftHHlh|Jaa>?6JxQ~&YKw08Ha~G@^7fB28V^=mGI1S z=DSi^=MKQb*$o3?TUI8{IWw4p+4{)5glqh%urFKkSmhNl85w&pWKBHtlZ5@mj$Ic^{ZyS_wksOwaegoz>$f~hE%@~VrHIGEG2`1rbSiicBmg9Vxs$j?_ zusm~jz^Wu6TQvli$v4a8x|?-lqt!IMf?3yo^y4?HVkj_AEvLV_4bXwv?TO8DA=6G? z#T`iK$~nBA-<8st{z@WmyOc!5{MpV5X~jHP^$j83lEOYL8?vXh(0O!@FCAz(Q4PEZK<@P<$dN7PGSKnOBV18TSCIZ znyKa|@cCWH?eiQ-Xc!m>F)x*{Tl@@)IU-_WTr3(TM7i#_wzjG`k6+Bby0wIJWV6+5 zkD^j@uKoJ^XC}b(KKPPjt2EYKA;$2*3s(AIO@gw70j% z+=e%(f(2ap2O2V%%)e@`UA;=~R)wUSH4C<=62(3 zzwz<*$4Y}kSSqC=PrB+%OY?Gb9-rZpib>iO$OPo(@}en*oPXwY|H&gVacd_hCoxth zlKicvy45=UlcfmYkPrcQn0xpa6!8OuA ztEtFUZ!W*QdfLN^iblYNrRKGok_C8hH!K)v{G5)FU8?@Kq*`COyKh@_d+5y?!WqqW z7mAZkFzv}OPQ)U|vnSyCbgB*_@i;IsBrc_MSe6s3IXKAp2O_pO# zjciM`k}K;2LMrX@%1VC9*oX+mRO10{KjQ{dH*B|cBTT4UHofWToH+yI0-19&BP9fw ze7O3$rfC#YVHj23KPEEmy@O8)_qKokele~!jOc2&laL5dUP&{0vFeSIJ3IUEWm(zXuu4y8*1X=JXgzz&W9q~u zVPS#>>v>Bja*l0WW}|kT4RBRX6eoAyzklD&+mS^8#`Tp^pX|)sc$NS-g!Ym^*H=o| zAaK~p9RcQ7N%=kE!8$iK4WOtPh2i-w6pp9%+@`XgA>x^vpecIyj>)j|;t|D6&TeI5 zc!&dJ7F;HSSJ$q-Q&8QlsIHqsz|Jy}IhEzzPRgc9YWB5v*JP?rVT1n0xTx!8hQ>927Flu62HVRt+I%`M4t312xn#oVlTG36roo z&6ok1JOL|XbRn`y+Rk^@;PWd`#zCM9amjo(vQ`%lZlBDA>qW+}CEwX?3LYVw2+!;& z-u(R_u}=0Yh`EM{1^-BJ=N=8%$`l(}(!M7e&jZY#Zq)!JZsQw_#GsznbT;gCKK$ zFy)b#*MnmJlLGA!$i~ibZMPK?6~)JZ0RuZY!tN&r2jmT&^llN*A3pHG!w%zfiK0` zjkTPRD=sQhf63o%E|a7!Z{w{*p$@B;AagFI(R8+*v(i)z5*9QkQTh?V&P)|~)XhUr zLL`Re>YLj%4XWmF*~z12LVA@ls$anS33L?uyFGqvw{FwUCRpT};#LLK82Y@%`ML1}Iz@!@T$MbV=D=}~4|%!TW*wasoX-p5D5++D^dte2 zn4=k^;&NtPp>9<(It}R@!!;ve5%aTL^D`rz<&hHQL&)GY8uz?Nx;`=Z#aSh9#MLXz z3?f^`Yj4*g6OmMJM22!&2yKwFk|W`#AeNz*)&c%?P6{&ikhd0?2nIhVbKAzwjqb{ zV}|*7gmCP}v6iDpk80}{Z&l#mFH zKI-N_#0o>CR-eiW5Qe(CI<>1-&FgcYu|+&ztCa{ct>DU6%@_`h(xeQ&-Sov|RwnX~HZhhUhiT6-a&4puD*K>nS~;@Hg$lm2@7`3r-v!W)`~ zz8t-p{vp)}=6ua8KTVd?X^x5<@DA`y^y_+QpE0Rh^oZo*ly6ciR_ zL-Z%>rzkFdSBN2FJBgg`D)dt%3MQ+Rur7J$X#EXy15;pi43-HoT+6j1O705tefa3n zeLlyX&q6}hI+8HBq*G?Xu-~jrqzC6q7+7M9GFI~AgLbicS#Zrm+4xl8-APbNw{6?D zK?rq%;^MY}@3fX{F`t|47#h!-r!X}&?QG2Afe6k9Vl%uF?&%}2-oixucTYCJgKc>v zt&rVX=%H7m7QPoy9&b7QLZbL93F`M%15EK~_?_M`SPgALLI3fo&fr&CwQNVOBqAey zIqt@}_^CcPHOhHRN80ypUC*m+KLN{r_05SRsu2Id+&qZ|yS#^qi3rYnE}nz2EDl3!R0Xlm6JV?uQ`%^lugHH!bL~PVob06}{4G>i4K~PGblA(|RVI=xE8Jy=! zlsW;LgAyc2bT>AI&%Yf6?5im$YnEPwqis7ZKRomRz38tD0(P_s?n3284m=Xqy)aak zQ={1sdqSv8h!#MU)QdA}YIKz`@|!TpvtMh6AQ)~zj}mYj+X8x`cnGg6-@U!RNv}du z`daqgbz4;Ouxbb$v=o3PRIR z)W8Wt2N;MIk+F&d%+OI-_h`0*T5sJ+&ztsFGV$cI_r zl+<8$_<1o3-befEYXLpHS=L9CHPO6D30xAttgMflyZd#N=H^2XQ`cnfV<40ZLHjOn zO}=_Xbm63cp7NhLa~Bt055Hqz&xEnTYfQ7Aw^Hh@e#H-16E_9ARZYf-Hhj) z1t3lS;Flcdqw=YwkYhh6>0mBC-mq-e27w1Z>Xs3R#Q{UPu6R3 zI<;r(qYTZ@$8cl8&;Q`dn3*$#XuF9ITwvs$?v2N5gk-XDm$ZUuC<-oVn3zh@f^~Le z$gDQ$OQ_my(Fg{~DZYfe7L7N$(mHg>290nc+UIDK+$4PfmhgHofIqk|z^rK*t5Vb%m9lZ>D5EFx9X8e`6$oG- zvutZ`-yInl$*->d9Kp(@5WEEg{PCb*Jl8;oH)o>jt2>17-ndKV;P`xeyv_inkokkt zv-tzo^V4{y&n^}`KBny8=Ha0PkZwM}FaAt7KkjJ(f`US8`mLEE zEE$|n+GgN$ib1$ui!=Lf2=Z9B5feL$_@CGXxeF^U2;0po($2JbQ^SU{ypK5y4yb(a zxsMX|>0PvO4L+Lkqia(@NDV{O3&e2I=P7MIod z9H&gmtl|_$kRng|;0^+T8PW&u_DjjN2^x@L9&Fxq-SRB2A#a^0v0G0)fF~1Rnow-A zXYbxs2;*ol?Vvzt$oYX&YrxD3un(JXrgyx?i%lQixbvu-9g19F?x4y5_@8^o^Mff2 z>;G!kxfOR(g550ZsVoLpf$gR2ZOo#Alwz|=v0vf*Yth82BptO%Dh#k~*bN zj=(Kd)bA#uco6%&bTj__kH4zn{9FfmFX^kF!?<-bUN#}q{xU}mH^D720@Sr38{;o|uagB9i= zvUd;gBOOUDA)8JPsZnv_Qw|#)N>z&%SLaAcY~?J>c=9NU`d#;=nh}?Fk-gydK=xHB z9CQ4xZS50ZMtsKS3@iTN2IP-PJPfR&?aq~+?>A!BF$hgf+@&P;gw8Tudv}zltVj$! zhp4`eO55{-I5R6B`4T7;mIkdQ+kj^S5Bd${t`7qOV$vw6tJI5Rqq7J#56Z0zWGCV# z80V9cTy%p1^f3Y)zdf$DVDoP3A*0Y8M#@=}tx?sz6r_{`~_{lX567Iv`M`3dY`!cf)w8SmJw6x0FinqFRBKIP6Q z*AZUIR6!t8qMZ?U%u1_&Un>_G zv;0^xx3wM@u|ALz;4z>P*e9CjS87SLQJQ9Z%-s^-^?`h_T;-P=+i2A&;Yn2V1H_^U zyb~5uO|gp?Z@bY5bZa}_d-V?DCblT<$GHy3P>nIaI&=;_%aC6Uh-8VB@9^-jzMo;) zITUU)sh1zD?|Y~#Vs+pNtT(?r_?U=>|0-lyskOSSw2fmn@U|ey6|ExQD9Dx`J$mF8 z>zno@hdcTg z=nuXvYChHas*apzcw}l%ZJ>J8at=a;E3?$Yj+c%;%I?IMRj0sPecI@7QC8}j?{Y^i zxE0Tf$tSw+NyolCe*0o|y66MRW#`F)-`d7`amR?sLGnNHTb`q>xsS1y4b|BF6>LgJ z4l#$iRtYOT5`R~iu)pJ6|A%O~9WqiSqVYY*paxB(Zz%XM#BO$k9ZMKkl|CLGwZgD>w?J#cM{2l@Q@EiXcBmMS`A!05twPkS|@4c;9PZ@EBU!S_{$kb&W=H&ts8C*c3 z$A(|Tl<;)@VaGLYSbc+;f|4E^P3z|`mOJvv*u?M->TRK~qp7>^;bZRSt-5gd;2AZU z`+pJuo%zxoL9CDgVHP-~+VYj3I5@38wc^y<_H%JCwd)14f7Ltp2f+`w&T6=2XUcaA zR(iJUxyH&7T26DFy8Cyh8&Q0{61eBlfr*8m1z8s|eFx9*0cH*MPV>U!QrKa1f)huXc! zZ0QFkD`b`>Xh@Sjc$P|n-l3Lu(2(HPY2d7bLPhm!HIHT^u+cym3om3)EPVf7bFgLz zOgw^3=;-JKFKAA@3WC^9tZFarB6CDTinUY%iAyYU-N?xW??hH&RB&p;iTjodCv?mgd=%WWMnqDQIuT2 zj@V1BpR~xjCfBTxaeS!pANscFjH2L>TSsm{ zv`T!ra3Y4JD$D|Wr1M-#o7WXatr`{pq;6B~;pNr)ueMrGs|&HOAmb;AfWd`=3?XLX zYpqTx(8c_8-)=AgkU{SqebUpHFSi1$uPtW7+sgfU?$Y~R^(4=9S9JM~x zpF~6qG2XG9gKyTLGA%WkJ_hAgh=ephI}SCIb-;kab_80-M2n%-LLClkFH@(HyBCN^ z-9vza(2#CkjX}H|fL#-#PvX8rVy7Wt1+=~|z`f!Jkn+5ckeIBj!`-{9ld z<|+_MP+{uQ*Ymi=F9^2>DE_(46eqSLs-KY&8?Y5nO&i`}8UAvb)=zhJfNA@#&=0HM zD7kVy0A6Nx&)9V!23^iDOBmjbvoKN)JFkk#T>6%f@&ET2Am;#l-=iU z)8i%>mdw_MP#|CsT7P-ZTym-2Ra_$M0s``B6!C3N8}`*mDhcrR=Ozg5!>^)oy8sV^ znVH$`(WB5*@5cZj+oC!iSZe~x#uNkE6Sum{J4^QM-@liRuF&DD-9fzXkt|FOE1+6k z1>o!Q>zhR4;?a{gKS56M)OvpIa;l+Pt3oH#=-@B91HwKx&Jpt7@c%h#NZ;UP=^59( zTv#ZT0e3^lHM$kCdQgoT%+T5E*RR{O01VCNNT%@~Zi~rk#src4NExqU5RwM|02L*| z%4w*%{wm^VPTk*J;6{U1a#Q6MojeBXNg+9-&&mXIkK3fPrgl(T44%Fa$V~x+*<+}# zZ`^3f-u)qv_l6=Qnqst^n1e^QT$MddbpG8T&E>O55}0<(D(`QKm3jdwd7EO)nbxcS z1?Fj<8+;0erWxpJ*)Y#uLO}t;lcA{$cs9K{cu9Jbr-#~yE*@VoM1hH%sa<~p3Zk2V zNdu0S_<)F?9S|tffsOaumQl+NxDzE=`7 zO}%`~U+D;|02p7*h{FnOMMBJNpo*djQ#jA;2B61j>q+qPN?9`6??5qPx9W9CcZ9v2 z`wat8kYi9Z?R;kY5^_Jo&X23`w~)X2tQzR-=SL1CA>h(Q^}FGWPHD4Q7$*(Q8iddS zCD%Sdqv|?T)Q-1#N-%0xGgi!^$cKnSA)dWWQc_Y-L?jEl`8Q`q3_SUMfnYedHZIHp*gpPANoR>fs2xO>cHr%=E4#R22!93qN zwWoUsW^E8Kzv;Cda5p6kwoj+#b!2H;ELg^%*RNma3FCe|K}xgEXFJ(po+ol# zbctNYcUfk}n!y8tb{d{o!noN;CM$7;t&pfqhIg0N-&rr25DR_(4rdnVWE^jEGz z&zFUiG%CZ=fdGUE&K9$XBMg|0TdXKhur=#b6L2_`h7K{Ctmj4o1<#$!2IdwGw(7+dTfmkRAr=qPv_91C)bDsPdG|Bj9Tp9|6Gu`R zmUo3JXjliJB7;Z_h#3pf%FCOj)KK|4pg#kaA`d!F8k@uH?4qZxZaa)}>WY%w=lc+( z?*1!^FNIE43%()g?j1uG zIi!>s{ZhEe=^6Kdo=EkB&pHgWcRg$1$Gy2d{zDiiCE&Rc(a}y86r1r_jn20I0Bvvh zddKD><{D%}b~9Zy34q$#$=QF0dtYl84FI{`gfrl=b!Ds~mGK;kw1ACT5D3(tL%jiZ zJ`O*=n`r?#rgkbl>GlpdABrT`I_0=3MaeyiKX zzo}sC;+;d|8D~4pg@hnCpD-eqW`<8{NMA&hE%dW)an<0 zbqjx1Mf`tm;s4ie;k{%m9sA}r7~q2_St%aez8cdzuZIu#tB;@cQ%!cvRUl})IfbDP z0J*WE@!pu}Mt>lSO)2i5zEm6j2`k;GdT{&H=Y%yFXv(5=rEMQ)xkbNCY{n;U=PIC; z9A;7GGIN@$=v*Bd8Vc=qQT=Rotu5xS26rs>koGt}OFxG8g}#=mwh^SDCX8ur}EI)!ns`49|z-j4U5nA?G0(IB7&S#jHGKDYtM&}R8hN;%enF%OIDYl+<5;Xv`Ah& z7?QSwTKYTega_ZpUC+K|sDk}+fxo;V^s)Xn%ThkCl1s4IKuG5~s>yGwTtn0qJ|eeg z^2D@tuX>XQb5{mM&tZfBk(6w@z=%HuHym9bOHWl!2kMKN_F9Otd5A)bOn{ zx4!Wv+FonWu(#b>DF2gjdHJ^3mT1hGUzZ&JqniP13RV5U2t}jWlj<*$$2__z_jRO% zvP+`!=Z2m;cB7w6k3O{Uzv%ysD8$iM)5)|s=cd?QXW+j;SMb$^WuY@_-aWvzYXL72 zZLutpTr`?Kuv|6V?4tM1)*SrxG3rytk$<06gZH2D@{Yzs2xfDYvAQ=9dNKs0q`Wpz z0FJQZXEc`>b9o|IEs(uAg^&%RJC{E)<+=rrfRJnx#VZWOrsrb{;Z zTmIL-gFd%~t~cuXMBh6sPDUMsV_{u3GNrpKKLzOzFkon@U%^Lf(?)@xqmPbmUN{0) zXscRi+JeeK5(-F`UJz(47d$XgG^D0h{Q}=AP{IA(@$=s^jDN6JD0U4vib$3I^3d99 z3WO*3E*%KcuQbC#G-w7g#lunM)qC@z%4?t5&r>t4`Wu;~mj|GN()y{AvR^KvucknC zg$306rb{Qa;`if(P5uALqkdW8Mopva_1*tz9UT)@Q;Upj9N-tR{Pf}%`vA*4Gc4WZ z=U{Mt-0_#CQGW6=(Q3{YjL@$Joau~0YiK~-jERV8f9F-lzvLqQUd3fdo1;jOs+&4@ z>t|!oEh$ZjaguFq7$uSO%StY^E>7-Oz?>2mc5WwnSYa5jX`dqPrSJ3vku0=FNRGb#yPRZlR+_)oRD)6!#zJ^09`c{>(;G2yBn!uKqT!hvTG4SjrbfFns7 z3-QK4S!5_;-t&F?%sCOA85^$7`2}8&YLN%D;(L0Az_nFa@dSP`FryX~DW;p@)F=7OpB@ zehfyIaM!W553W6y4SpTH8fu2X;e6=kXUC#*w~eatc`AOPsdksJB(P8=-kQCX`i4gn#Q?iyF8Zs+VPhJR>dgK(tv1%6rrnHKLY1FzhW~E!5{-Fj}Egb{~n&}YiSOL zah^PRa(JF0Yet`QxPT@Zs+lydV|}$G&`6ReZ(M&L7^;cMOcZ||Zz%y6=*Xc%XP~_( zm=a=(lSmO}Cu@k%-{dU$P&&^r8+!{)TY7^{*#%0d{Sy9B8YLZz&Ix$-m{80&JUeaW z@V~m%JCxIn0*9E6R$3;dPwG>v^s@ zXfRcR%pG%Eakg8U^rX=daf!Z3*-!tFgMJD8maz5t$vm6~Sy^{f$s1F&7yCOx=jC+} zKuD~AxaRgx5napFxMStYcS|}RHUk9}0d4K0sN|{HkiH8uh*%~drvSC9)W0$Jq*Y$H z{`b+YPkJCo)PkCUEG}PEQ8|EU3-6AmMe_-Fx&N&{fC1%!wk|}6VbX6E1X>U1U4R0a z!xf#3ggoJ{eb;iXPKszdR4W5bUMJ!nzG8}D&)&^iJ7 z4l7d2c^|+<2I@0T-IO#6rfoYe1aR&`&H8WdtYHGK-)1UqaxykeB%pO6N(ecw8;I3{ z*iRtJf~2ZIkYzRMl@$}9xR1K#P`?zMt6L|-1lT&OCc4f#;rK78EJk5mcTH9vcR|c~ zmS^)oT>wdtMMOlrfhJdB>#!-P&Y>PECgmc}0ww4ge+#XoFQHeD-#Y9&4csRCX(ZP+ zv6k;mBy|1Lp3)%r04>Pu0oHS-pzyQ?gXCJEUrJHNz;+6_VPX;zHlSm|W|9t<3d|jW zU>;@=%7NUOcMe!M6`l=t2iX>}X)-}f0j37Nx4h9V)KA#kkU@q)3Pkq6M_F8R=+?F` zc=Y2+fYLSdh0yv9dep!LcsnqkCCUm48#%yTdcGNPtLeQ!%TUYLe9xaM;(ba+E$km2)Q|Om;t#iJQ zCRBk7)cpgk=O!Ps>rkS`bR2yG9t*SvZe;(A4gS1v{K_e`l3Xm^Kw0P})S??H5#H=-Jwr1!)?*8lu_h>8z3!vc@Pc~E ztoy1(z zNnnZ*o`jYXy|zcv{9JP|fOxe@Iy!%E)2%?F;PR{M>-6>YcXKLSzHFCmgP#xKtt60Ezr;^uzJLBFQ^t1~2?JP9eF_`|AJhVhfcO|-NzqF5M5r?9j z?=Y}bDlE66f2K&qH*}_aW1A3A0{5!}bSjJyF9|tV;3_|26GVo&)ewlnV4~`g^d7Y$ z$&MXgd^BRR!GP*wDU7ccy6=AsjECU^IB3`}8hF5v7+(d_v|B8a07Jr-&@an!Ks3Nf zfYNmBJjkqhvg5klT5rIay&pY#2FBAZ7Cak`6HwFUE2A~@r zJQfCnA{?ZpnX;c6bMMUFeFuhHl5oH56AZtM`d&dI1s{aC?$AkufvjO@w(UAN*A|fU zyVS4`-ME_vYmb*5v>Fp4tuyGcA%kivqBnv_0x`!Nlt7!oQ%L{#vW7%MjQmLuG9rh1 z?pcsh0)99sQ-BbU!|T^9p#(U%okL!Ziqg}~t+cZR`q1gs`S1QlShBW=`UPhC9f3uz zIjk=7@1sk2rd>By%I24tKq%LYCEh44Fzep4V<-OBjncI-f0Rtq{-7V)ue>Y)*+0=$ z_=;z=po4Y(tlJ-^-9Pu}%#7zg@Bazh_%~$!JM}xOcgnb2R%BmstW^NM+NPup-?+wuO04nU;0gG6fwfQ{cSg5>=Uhia!5_ zDX;jAc#wz{l#rFW1LPy9sTT-}@cOW?g5F%sl|YAZIRrZ7E={~qUdd+x+W1bo8*y*` zv$I2$k^h>m6fB1vFOfi?63<_OMgJ6BvuLGO%p(`dJm07|Q_59Y!IchIcq0E`(pseU zZ2i5Lz(P@F#hF`%s%ANY)w+*|7*0km0uYy&s3~kU?QMraJP|3}0&fNB_ty8}oC2Ma zuka-JHa#R83aV;V^$VRq;)$k{MZh4$V1VUOUb`M=N3SP-_QZk`-$EB9gwOffc6C3P z?wTXRk4#V!0NgS+9!Q@n>bJQa{?QCsDLe^L`zlu~@kj{-OD)BL$CNjM%O;tO2Q{(# z^~7Ql|9sawwod;Y{bR;!XWkEVfqYBdJOMVamw!) zZxn15mPdC=l;F3(Z+YEH+4gIp=E(en)QXR%D4~?iSO4(eS2YD1!_zr{Y#wA)h`D%~ z{LSmT)UeE||IkJQ6K86F)i);2A4HyLF%F)ReBbg+_m9hzWgf&zl;ftLMDPd5063eL z#oTa(kw)UE6)kKUSXhPdZ+y+!xSmEajl36uf8s^B>u=fpPIJp-h+okoccJpywLgu* zCZUlLz5XXP&i{9wW1AuS9^qf{GQ`AL(a!0k+S1mgB{IBL3I@PnF(^iYk0Kfq!ds-0 zVYJeL;G-dmKphkeDc^)LeyvviOCkL~VOKCiJ$|%79d6g&GgH;&lvG6&$ zSN~{W3E+gpBj!G-JI_Abin%)PdJ=@}KDAPA@$AFHL@Q=-yO(ZWTk~ne z8#V~@yr>BkO>-Iur|c`$5Sre6{|rx>6{6}WkS!2!n7XBdH+gz_1%V`3YV98V*HFsa z%f-djJ`POFC%`=*0>O{CGZK}-pb7)cNWj#g@|o$qa|y(c5oQbUrLW=J1ZH;U9lH4@ zzHyn!JNxWg61>A=7{a5mW=8Yo8e8DAm*eO&IRLXjr01EC_tDhaiwC&4>Ww^(DIl)R z%#c2P4H>rQh{zS!F~7NSql4&#{U($AqQ5OxGDuY3f)W|7l(^#)BIZozYZz-!PdA$s zZmAm`Zx4I5x|k|9s$oI&V;|8sVSr^Q)*yxhq$s#23!TGmKWME@Ku8@LjPz3S!_Z5qtY(3X6EKW}y z2Vxbr)hkvX%Tp-*kT#8=U!YL|PQ!sW1YhwR>ENe!@5RgbRt!EZYTw`15l%6@Z~Q>y zPNJ@yZv+F{^d%TNOZ<%UXCN)y&Au9MeUyuf0@AVrhOHO=m9bMi)`U~VX`Xp~7S|R{ zeWGq@MoPMU^1m4e|DJ4Iqj>J5nk{gW&OPTdOuou!*VK@4d_0l%VOio?59^rg14m~% z?(`6C#!I2opf^8NFVech~Bmt52@iVtg4LCfyjSEcbv!Rq$~bG`PHPjx-`Uw(^+U1 zG+rnYeBvkzGoT&t9!RCNG|%J-YE`8a@<`9M7^Smnu^@mMu*H$xhFj;@V{-&e^0S>( zxk7(n)4$(W>jClpqd7P_tDCdnXWkQcLek#hxIer%h~3%TMD}#`A6sC#e!dqX9O6;l zD9=y3kPT__zdhhy-VB6x1Udp^?vInFhHa?ninp0o+TC~I$C?K{4i{=IY*V5)QTV8p z4fmsNmuFhf>u>s2IUuHU_QCuhc$;9he6(%8L49PjaQ^(-kr;I4Dh;R#||ECP>4c zge@N!q1vK6xkPG4^^=c3QDx(Sx^nDCK5fD2bT~%qy`)}iB6|(0b9%EDw^$pSdRTw~ z;_dC-g3wcF$Z{47=6@o7_U(q^%QvHLLQRp83HM;TeOhe zTlSn`1t3K{QxScPDNlo%{@5(}i`4(n`)r@d=F&Ni+3qOLc8dNT{p z*8oF<(J%{8?T79!{nj2Zcro&6>b-Ua{-}asXUv87GjmT)v`Qr@rR0 zFizMf1X4QW;JHvbC!0zsQDfAk;(bBMd!AYePe2F9JT2hv{i=B5(l`1kuU?C_+bg); z|3b>SHA^N5!sV{_H<74!;~Eopf2y0#OPeGX(gJqUu^a0*=P)Ml{~QqS=4KLJ91j2P zE7a+%uB(lFR+rFDT)L9*ZrL>-vYO}B>q*%z?NbiF%UUhsp)Rpjo>w$7WJX%Mf0|9b zQu*NLCH!)7eiz^J7fx*n&W!j++u!0y_jl98JEbe3K>I@zWijIS`_#7^{ql`!=a;XD z^<0X*`oCrs6S;BEbd2p?0*mK)*dy`6uAMCg#2Kffp|5CipDyZWc zB=dl>(wIEmxU0}!@Y5hu{tDMB{$b;=< z4?Vji>w2jfL0lD<4tjdfY9(CW0!p<<%|P0sEa3G|k|eQ{1NM?DL|B1PfJCYkFvNC9 zp#rq};Y~;fUFb=V>Mz~)-~1IC_t}xD8jV;!*kr6feMAJdX1WSx&EufXGw7W) zvktU2#Oi~U|7tA|ja!fGX4fVM9dxu44Uz?=IAM74vp3r|5nUC|9=ac(_7Za}P64V* zAOM55NC36~A8axuE^c)~OtUVTXrb@gw}=uKn~~F_2K2{_t3dHWue=56w}OQ6J+H3_ zi{ouQ1TzaMu=ts_KM`|meU8fJD6DjH{DHi9M_{76b297 z3iR`@0VkAztqD5ipd`fxGAfT)aR^^4o?b@j2nbB%AZ2e*E~f_+FNpZXzuQ5aX_cJ=dW3SghXF=vP?s z}^&@nT zM+Xu1EeT~VeGpq4Og1F7qYJXlXrDYpcETVvthb<=#U4r^`%C@Wy4XE&*-(IYDmMYw z4~vAyL9{0r#Jt_GqMSp#NcE}6Ctm!gCSQkIk;RpTC7yDKsN8(I6_j@eVe1mKc?#M} zh{|*Z#h-w@KVnr)SOOX)j9v_lE)fct<<5RN&B4JT=2}%*8T7oULFc%e?p@{<8PR{r z4@)?Xv1YT$^T2xpSulqPENJ1dj>5tMD#q|~9HR@9z?wlKFu+tH0F=iBb|nNMX*^CS zb)6OFo>owwqf0m|P)a2Z36|8Dy#f|nz1C|a311v6QkhLK}JE}mgjy8G>PEFkn zw|%MXCP+_w1jQ?m$&b%&IceO_8xC6r%svST*#`}1bdjRGL*EJVh_(fr2BGa_$SicX zVmLvR$pq#tk_ZQxB@);d%`Q&Z6zPh=HhD+nQ@6tgSZfDAS(bVqm3KJjaeyuor=A;f z7OA5QWQ>Et$;${V+OYvnNr=%!Vhf=Aq$6W&`vlY_0<5Og&^C0979#{Pu;~WmQZ2A| zqPQ%sXT0D%m_`sXxR0JM5OF|D$@_@RT~N8foPr(&3vR`CCpmNfooP*+QAq1 z;Vm%&mOe8+!@!nfoph!6Sy7~aJXd}BWGh6}gS`!DLLq(^?9a;49teTvlh3hg-y48% zGLBMpM(0;byL@I!dLUk6p5D553BJLapQ>R?*ilO122a?B#`m)==^sUBaNVG+ui|l* zA!D>G*=IqEF&MNGK_cgK$UuCLfr2n;~GqVYR}P`J{@a`nmwpq;Pwfmfsm}jzqm0PbT)k(Fdj(Y z2Jr%&$k?|4Q^$qV3bS+kf4&51#aR&%k@6NW{;)lhI+9$1m-aS@)HDgqhqmfdbNV@!%0G+eQtsLg!aF5^YL*2MTHhm z36X4w?sP$(KeE5{*vh4`C6@W99mJIop5`MP0~L&Cz=H+*dK}U>$*(GKt-q>XuQX#J zE{E6-w)BM^lwgYjP|phnsxai90{(;DOK^Rbm~1H9V+WiUNBjiG0~^64qNHl@RBu}T zy|?X+lKd-9cTjg^Z?s?@o^LcC;6eo1%oxyDM0*7RNQ^SPKZX_5Dw*5Bhvb5O8_10^ zTFp!pRH1)^m<8-nMAZZvrW}ismiT#X$H3a|`-e8PWSkU_t02KfQF%;QavKS~9@|da{2+vx2N~wa!v!4t_hyNf3 zE)ky=AdyKBO1YmlkVyvn+8%-k>X8Uv`$8ox@tta&A z!)Jgn4fK$Q-3kk4fDZB&*qhlAsCQzw7;tMZW;?LR-+p04Yj*~=o#saw+2iU#n@vE@ zj|$h8Kt@4Jzbw_QO(vzc&;2k4c6$jEn{SHuwxc3#X8 zUc!0&Pn53&fa}-F`=4DW)wd4wKdoQkQ1CxaV9?o@CO0j$prH&lv{+;HPXG<{3*UPp za58)^lKVVYu#{7SfmOCpwfIGJuX*~-3b|LoH}8;i96Vf~xGR z7nRs~`}4jFXafD|Jm=z&{3m|?xt_2YkOKo*K>JBma9nyFqKl*OxBd1Jk>9!e=X%~r zYp1mByzrQDZ~HhHW19Y%g{V4jc7!(s?|Z+zTD>Q1lt&3+R@LX#xD{fwvK|mDIrUX= zBjKWfF0hjrUuJ(*EEVP|+HL084ZE-ybftG&HGp0BN?@j68r5cF+2a^yY9vkQAafPUwIz?$Lb4tJxyDs z_A`t=a^R_uio=UV1pFl+-v0?8-R2u->F1q&7IT)C7+X{aLEP4Vq~-o(ivKa-jn4kZ z=yuLZG^KyL{{IR(5zd=hE=9Rp8CQa;Iq3%4Ejm@$uKV=lN02Z0ECG?#;ncUsA_gVWZym(OJ5~# zZjQ`+8LrGJvu770&Q-;QMGLr!W$l)K`ug>Dh!QJcmycjD)P#WMGG*CnxD{9k%Q#{{ zczFjfB;*t5U`w?;*yHPCt14m0Mm!r(9XbrVkk^C|$M_?15OaR5=U86CO;PgL43=A# z9Lijk@zaf043goq3@m)s_S`!b?R_hsYFJwT;28W&qOa$W{-?{UI$XUqN*j(VsOr_2 zMR$y5C7nelG{C<5rUJB>wN(pS6>fvwz3+g#sekdf7_^4!*cH+YY8y$gLPkwtS?q|? zG-o0|_KnkIKXGAYWwDeGZ5wees?)SO?qQLsFyX1aUs%U~O zVW28C`9krNwSxxPN`mx@^Dmr7ax8tFaJ>UI09txGs6AAf*A{~qkAOA2&k z;C89MxxMOtw05rXQ08qMpOHq-Mp3(ArfAjX)9Rp{%V85b?26DLa(GBZPK9!aXsf4; zG#|=wlXxiW&`=LCMbU_q!lFfJCLP8Sr4*Xycj?8x*%!}?$IE7#x#zyG`?~-C>$-lw zFLh>AK32jSmyU^xX(7MC#wZ3CzUDptwzCcWO)5iIvRNHD_J;n}>=Th4|4!;yicu}z z9C#8on@JbK>owlEyTudMhs5`bGzYn}9KejT(;7J_ihF}`*1 z#kP>wZCmUe#a03CiLUWW6S_K<)`Y%t=uV#92JgXZfxT{rI6JTJYh_JMe5l7Bf`p@t zA7E+)&>@xIUiqJKz5Azx=f}$po=BIiSoQ1ai~|{6n3g859t=;zJDBCyUdUvK#p1;) zS6T-iT&WvA>djR*Q=>fvOJ0RKiP-|dLdRX9=Z4yoyMWI<9Us5MJtaBW19b3vjg5D( zp~~Uw_|C~M-egepNHPkBuCc~!G$0dw)|W|V+J%Jb@oNJ!qgR;U|t zQLa>hnfxh=A~+#hN!0*&D5=u(Wqk>r+P;X8d733#YJ-|9L++=)Q#s-3#Q!)w|8_|@ zGW35TqlmX+^4(%Oz&D7u;;7=V+KUn!@iM}V)h6F&No5sp>YGl!*$6ztU{95!ON{rT zfW|A%Vc>#FN~+Zeum|z_BhVR1`>N$wEc@t~W+HbS|4=MoE_5v@Ok#at&oc0dtyX~NZJ(` zXH!yWlJjH4KvS9_s<|UDmA;5J6x6>w0q~*=kn4!z`_SZrYvHaceY=v+FGwIu{~31| zgu3$P*|y?H^K35d_g8Lzpk~R--+xmE?RJ}CzbsK>70%$(*;t<+>yX?fu_{#lEp7bySM+f-)Jh`= zEKKr`Lp|$>-_8?ls{G8X0g^PP=6(8~#jm!)*^4q&hpP~mI?M+q zU$mRty}j7?QbED@Xd*qRfcP&V$Z%n36h55A@B$!02yH|H9yY3wSi??U8-0reoTVCg zO|Rxc6U@fHBOmFkx*?t?f`_`^t*Q4eA{dpfnT)PhnkB1YmU8~Q4~&Hy0f}7;l6(Nd zq9Ju%sBi87Huio91P)Q46VPv8vU+thkhDT@aOJ>E2M}5XkDfI{w2(QAAi|d#;OKmsGL3ZXSCqkc7*5LWlr~MhD-QC@+dh-7k*~EOZ7fXc2 zF+^~scDuphL5OAzP|oUp**w*qHwk3Jx!}i^%6j)W1_7?eti$d7P=o!ISMp)FHxOi7 z;8GFDUKmlcg112e%B%XL86Q7}+Klwycf9OO3~Tl1aV9F{%T`tN$wXm_oXqyG2KC=b zHA?}29wEQ!mKzwbaLb)r-J1ya`g>W(=PYSBMg;>by9(&uUj#|{MV<-D|&Mm*#PX`(%QO2YE3RW82yerHqani(Js8$N5!&CAmtkHEYg0od`htGzsI^6q-@ z$t*=e)cg6lv_v=UuhmZWp1(z@Iijc>paVivQfAZ4C3FRjlWTvU0`SLCuG||aNQJjRPt25JJ~*dY^Z1b0nX*RI*Ycp zw#mWf%mayDR6Ek9yZt+i!`^y z2iH)3Pi8O+;OSFHQtDWM+`&!8#q4T7b*1ghu*o442LJM&6QC&dL!LbC@(($KUd8>b zSY}+s0-W0CSd@C*kN$^+{^R7auNZ(~e@}TP3cXEogQl)9R)tIkJ-RXd(huN6?dfl{ zh;vSyVuPNL`52mIGRk}&knhY07~_3ifz_7Vw<|4J;dB(HEHVt?nMJcv#XU7&^BLAY zLcE-SZpNce?z4Ce?5fY!(ArVghrrAD{;#N&>jtTKHv%vC_wg9%u(Tf_d13dBgOnww zJIZhbVY|L{Xv+jcCGPfO5Vem1W-pK1y$%GPM4TVS`1Jjpmzll-a~Mc(b+vQNxVZGQ zH7^|2p!U>HnTAR+QxbP3gNz|e$NOf$qeE|Wzl#^5mq5>%q3zBUuM2()0*cHNQQs*D z*I9>aAih9;GXQnZK>Aukoqe5VW1R!>c@e~gp$T{-S^dMi)}{%Q}>&G zCb^-2Y0jy!8Lo1|Z1EYR0TpuiC+8jlG2lTTJ}`;Ieixs53{TaI5F;9b>dg=8H;4bA zNlQJNO12ITzhH;zi6E}PqM=ZFTrsVXFX_c5XaoeCeuPdv3Fq? z6T=JSt3dvI0yL|}foACJOV7WQhv@;(3)E@Kh-d?3{gIy)y>7JdV{=jD>BRcJ_`MAq zU^5bo*%lGHDs;3tfb%}a>B3NS`q-7@7EA9_uEEv?t4i}jT5aZ0)<#eMNO6xog+?4L zEj!Bt)oJCx*!w2y1qQ$}pP@%nM=1siLjlqZN$<@n>c7S0d{-nII5gJ*;=%NO1%dYn z;`<(dR6v)PM~wNB!PBhc=ICL`5oW>_ETzgWjhO@xq`wE_f1}6w^2(RN{Qm`GFesg& X5%aLbQ7L2<1AkjAw^En-kE8U#dQN!OxNDe3N5 zBHi8fj|X&r*E#R^e*d{Hw;q^lt~s9=;~w{YkLRtF#G_Nk$&V8e5uFl#{6L0?=-@K^ z`RmUk@RI{I9}3_vE~|%1R6RQ9Y#FrE@=G$ z4^fiNdz=UUCL-#19Zd~?rQX3};IEROk0%bm-|w%)9fiMcc>VwU(ruz}wO@99VR(3a zJWe^&fYj!WNn56&;=@Oe@~y*suZm;qbXt(o?LG~x(7LQJXDsX1iO^!Z_Wmyt4FPg>I*%cyJ4y_uN#jrC}+XY|gQu466lNEtsC zId4v9C%`uyCNG`p%GlNAf8)HpthhYgqv%P&*R?xT>^NFv4Xgm)mwGF@Q;Bq}!#$^+4XB7Y|;u^a$VjkS{rpO`^K0g^yMk%+azID zrsAZdgyJ4~Q!mWTH9n$oTJkP)HC&Y}GHq^dUaFulJ-24#I{8*n^Qh~tnmY+iKyh)g zqoZST_iFxZQOl37|1AIbhXkIp2%DXqy`34T;rzsMw7xCZax|GMc5$?Uk&&@RUo0*z z?)b@*1tZ3)CnO~$?J=111}DFVMn}_nUSt#Eb69E3F(0HDN6iNOOIG+4Z02XmJZN8#?yCi-c0AWMp?D-pYCzpBIPj6bW8;Omppn^6Afo*Ecp8u3p`{Oh+eHuy{&Sh*2?FE=tIA2tHylT&+LV znP$&TJ=ze_;d5E=+}X2NG&D3|2Tf*nsLNt7d4=AviC|^>hlCgq8iakXs+osvZ!F8g z`&<z#*(UqnQNL3?6cmG3p48W6O|qpqe4ycgo}!b7@nj@W0ogke6LAzFIDa2o4^jS?KO8l zc<`WHyc~Vu=1jh#=cbH?^Lh+}d^|1e4s`4HWGwYfy1P5un63Fr(u)`A;hp=eTEs(c zYQEfFM!Q$N5QB||^~hClRLF~x9u|oEn!wtRLogTR<>g&Hx7gT7DJc^b)$Pms1N{AC zPG1okiw!lw!h8RH<;wDqujB*_8rQR};XsYnXyLPmj~rou-3+sm!eP=o)_BdqacyUN zvn^Jf;_%_aadz`RG2=0T79TkSMa9JYScM>-)X#_1>Bv5K@GAO*ON%=-<}uc)lFGKz z`=Jdx8#lM|YM*VyNPSpBp7mrkfuIrLyb(t`K2+t4*;yZzj}^NJGarB7?KnAyQBZn% z`czNek`up4@14!f0(dv&B1e0#&RFr#*m(Jb>V^i%ws`p#5`nEBH+AeGJTj;k+?|>N2!5f!d3BlA12z9P=G5hD;sN(6v%XG z*I;Iem|y1_(QOECD|vB9KJD4V_4W0*2XD_9^kgO3Om%9``bIRcl+Yi_e|z>Cxv_vMW`*Yd`+cSsH7Kg>WZ?)rV0oY-o*>6^C5tk&=?)Bw#z$Ibh|~lV!|?tsV3h zaBefE(1JXoD+W2k1A?XffE!sYjL+UDXxW~X{pnCVr3D#JUKUo&Vm;4n5Ui5Mss6&A zlNWB5>?lvRC)EY9YSoT4MR~H??}plrH<$Y{skC3tYK{>N)eX0=@E~WeMuX6rqCt3k zOJH{^qcm-Pd6`{2~POzL20Gz1avVLnEWa^|e87@!9@DG{kX=DdAP$ zzo)L&?BoZ~%U1BN_FAGz8i6OdjYYXE1*1wAY|s`T{H*+4@YjEihH93+4o=suA%`fE z;k=D;C>C@l4n_}iOS?J8^e{V z+K*f%kDSs(5$S2KQ!nx;qml0mjaPPyHw{ z~9JK`y6wwNg zwHj|Gt{jF1!~u)2^^0^Vny017j)qrmZfH!q2sQNd^m|W>tvy7-`_$VOp1Q-aHaXgU zapdZqJDmegHgq$N5#(B8kX`iq3v!SB`RC0Bf!%_=eS#)2FfdTRFE6t+3$nQMl`5;L z&L*@X@Wwsu=o=s3g79IcPgvZ{b;?}agtZt86Is#F(6BV!)8TP}^&70;O6t*XZYL}~ zuWhpF0o+^3D%h$^St;sD)%@q!sZ;Fo2@33hFxVie-OBE>35Cr(vN>CvZE861&5i4) z)yflxbykf`1AnyanwpwM!fg9lO$(O;=plK;J;{j8&^M*~dg8oLAozupuW_44_&aK$EFy zZ{CGB^Yinp5X|b>Utf!GZ2seqKkh6UcH`qdJm-hx$M*Z zBc6Wo;zg`zAT!s>^g{H`+(0P`YPU`Md!Os*bZ^2EtbTm!>{YSUZ0%h&oLKNPQ&CAt zPHAcBSip^3S=PBzmQTyyk*;L*<=av~7+)+oMAF%lXFF>m;&)xsi<)mD)zO`pN=#4h z%l3um*M`qtldu{K3=Y=6fB(K1WDQT&is#ze!Ji+#4}o;}-425ZX~9WSXn9=Zcg&fe zn@e@6Vt$fd_V^ac_N5ymwZVgp&KpbmvH;M~mUVZAyWfh8j3l1!+Pz1`YnLiW=*~0@ z<+h$sT@KRTb?3Noqn3BBi(R;P|*c61$t-}`1;;$(5;5PveBSDkTp)~fV^ zSPwv5-y?UeYqgfG;m*=zXWAe;-SYZ&Z&CMp*!KF`bT*;82So!&$I0|@4K)Pb?A5*X z9Iu!%lPdY-$&*-E(<6YO@!7c{t=R@`)v&~Zwl`OMdd{3V;{lts)YinAe{c~~drd6p zDQ)mTsrzW>Y+~XKEwO%qV%OfATNQ7cq8=Ic7ua)Avm3OUjjh690iYIzypRfWXyEeT z;lpwGhE~|J(@rc@yCESV@llVw>@2X)@S@_0 zRn%~jueiXZmM7QjcG(y(S_Vl~5QlNdeL=xCfE@1A?Eq%)-MhC^TvuSfXtgjT%(w9U z3h_2Xq&6raaW17bgrksXt6Eq?@0foU@+6M|$UhD!qY(l|G$7)!Vuv-d+pOiM>PDu{%=f zP16C0EEYkgB5znMZE0GSt)CyBprfT7nsm%ng^V=P5Rn3p_vLvNc4g%_DZ^N}!;JY@ zD4}7kfO2uX1(yI>5VO*yYgrb+w{$HfLgTJUj#T^GjpfM%g#EiSig`2OcHb{VQJ5Aq zjboUpHVbtdsF!C68f-eX-&y&YxwyC*(oh{o+>mj03n0cF<6c*&1`?z)4nRwVv)?XC5X&emA1{|y>>LLZsAjGfSR8=XDS}h|j*H?+Pcp7nvL8wQ-XAF9 z&%lM>TwD9%xW2%(k_kDUD+|?H)|2hS`VRFg`S1|jmLnce)cy_OC5+czX0XDu#@t*l zt3b806Q&+j>`>M#LzN1FIWp9==n1=Fdn>#{D=fP0`AQnh+JO6X4J|G0b$I{E3zIe3 zp*}vBgjb@cEV^d1jhvmGxprE}&Yus!nI}_IQ%|%d1fn7hg4j6BZ)<0o)^ZI?@fSd5 z@Fi999hbRWysy&I>H*$Y+#(qtu3TSe@S6HVz(F9Lz!(^j-(|eM?me1GnZbwvVbSi6 zgZA_1dVobX2Ha_u;Lijskk$}(LpeaI4jQ&ak}!gJz$gjSqf-q7R>QGGWJ0Y*erH2_1|Dm2XLGg#(oHf1P&L3e^({-$ z_5D$hV4&&`hCDWD6+E^3N|$l0*hxKWn3$iRA5u^_ECd`7Y4IxACLs_7j-0&UGip6F z>J$PMH2ltRZEiqfQ%zmU9Jl3cvg_+ISfd6x%s~KZpcu;H$J&+wK4h=9oGbDtgGQGZ zPkcWmyv_dR?b{EmLc`VmHS>otaS)aap}YyJ z@eAxMz*El6KuB4&<;$Z>q5P3mPzVsr_xge609x{EZQ z-P|X^d>#T0EMGA>21`Ces4={!eSbvF@Tw&b3xJ`7QxqKEFASy%bez#u zR~ui`cCoQ{a3K56b@BA+%K`$$yoK2*!)!Yu&z?P7BJA!c0)d(TGbIpo*v!(RmW`+mE4olJ%zMvx0O@nXYEK%5v>LGmYb9t5RO`w##=HW>r>Wf zaC17C%v!@TfYd0tyWZe}hs5D7;-st`0)$c=ge3p#(%*_|OGyM0Yiq?$UA#qGxltb> zU`mjHYu>j!O3~Y@B9@dTC*O!NhOIuaBW@(()G!Zy}JX|;5 z4P0AT__bVA)BvdyOD`LHosO=&A9iZ-=$ikHOP4MY=GEW3ogm{*a@6tGDs~)u1JjLQ z+sZ5E3nJTo%!S5j6rQ7OxaTDsD>G76pE{M3bQpY8zGa3s@et zai_CD-~flL2IP~z*X}3b4rd7r2E)L?p#c1L6u^Y1rhwb?o!5uS+>1IEF1pa6K?3{; z$ngthini&My`1|6f+!3~;rdAEJ8y3&Rr6aBFLv}OBWw|Yt+{`~?S39BTxu4LSItdF zYpPk4MIYEZ6gFYR!@SsQC4x4W#-q+NDSvNik)`6c${A6jU^j?PO}z>6?;-FkAArV$ zQZi-jtY#IKj@_v9COnELux=A;Yi9m8p2$Fm%g{LI6!)|IJtIHAIw0p}z*b2p3qU+=113Q(MV-(6L{4uc z5H<+RZ7hu=HrK(zd|b_kU_VO5q?#jjiu|?|09Sd)lvD!Fs(?b9;Y+4hB_WVXfB5_1 zZ6G$#(BHg?E=~2OF@+@24M&%-sQ`eHvq6Nb!vH!kA#{kz;c#@Ej-PKH%0K%f-;o*qd#QORUPfjL4 zg}(T1&@ko%r&=hh)@wvZqp^n(lr}JkZ%@%knJwCs0GywmB9PMWylI?i(x(g@t3tL( zpViN@V*tBF;I5XBm$tXJ(a<<8)^WxwrG5TZS}LEUj3@>sjh@Nw%mlO=%F4=AT@E+` zaI}Wvgbyl4v@mboy0ru<#yH?5X_#=}Wk(tbVY4krB>^Cq6popoM-za)7O*LzIsw17 zJMX%}bd7&_MBM~a==bqsBEWQgSVs~GrOj^f)-aBih4}`~0@;gyZ+aDk@z}Nla+U{W zMI89Xa5J*#-hNJ~uiBHc`{N;rCIDt;&?qXvVzDUEPxoX?f}~IwYfJ*L4(PT7a!!*( zNMp*u!NDu5D>1g2MF92_>my*DsEe`6Rpy zSFaTLDBflr2jOTW2-kl>3(}p5N#U{ra1MGv>WafU6;Dwwtc8MS+6gw!^JiLG;!;vR z^a_bV<6RlJC;2wUUi8~2)`dH*JduTkpq0@zC2OoLDGEV+mdl980h0o#NX=SfXKPW? zvW6-90Ad*=e3>rc=5KL54~dY z$N7~N4()0`R$x?!W&JPuuF^BHWIp|RuqDsh5aO056r5u7Kg-2o1Jp_iY!5ZE(9>5T zCiWboLhahxS`duoXb|_jNM&o#ds$_Ohh_Sd_UoZMp*qu$3OErgM}(3;qap{uF1+ca zj7pXfD*|NmtE-&YsTLLPP+Wh|30WnDWYsP^2Zzw_-ybhR_Ts6<8P)m|itB$`0eu75 zc#oLbl!9@=$^M|DqYDOx9yFoq3#O)~XGux5Ar~{V0eA22EU>-g8>gHZ@1&e7x+?^G z=N7gWgtfs`F-UkG7P-3LK(qoL+S&sov17!<9FToDf!JmTm}54UZ8mVf1uCSo_4GsFL#i@*jkm%@W%FUsfReb;p7a=I*j>m=~zWdmT6KoIySRqv2 zs;a75afYe}@v5}O-)RHyRKJi=H9NX8{4tCGkd^}!*J4Cx zLdaoj;9LFZH1R+Yhp(L^Y>CWLXfgL@L_*%Z%D_;KrdB3KBp7Jb21k%(R``=8^!01q zX1(DBDBwZQo;|C@zd6OW2m~BCz$41E(P1`zfyynQJ4co~G_qY-gdRQ&hDdp{a{I}` z#`@tqT5KaUIWLa{Sb*X@3FNwjOTdx2Vw^&fGSX&RCS8*sK7SsKL|fQ04aSpr(6?bF zsW=V4%g5ro$q5H}!N=e2>OnffhPJG22BL_=&d z?#+>gsL%w}`3J3l?7iV2BKmO^#9*k|Vuie^!*Dxq-@ZlqsWr%Ldcd(FMXfFB5eaVf za@8q+uqr1)~ zH^eEO;PzJC*|j?36`(_~g|+ z^F;C^hhotmKfj^I06)KIA0HoH z#c{fd)O?>$0TQ&@j zI8H*+fk-Y00MmqG4cS<+543#Ct+EgS{Gb|4fSs#ayuA`yw7sGNmosYg#K`PV7{m!V z2z+hHYAV=sWMnwlG6^obJJ@I_TMPiFtn9#4g1(jkJTotlUa~Zfb1%?lLiOD5+lXe^ zYY13RASjyKcf_DMT390RNg-yL-8gX1LlR)acdD5FMn{8-A-n`p&a3^GN&1At;}0@` z)rQEmTpEp=YYb~__}(v{+RGs`%2R!hINaW&DpBuEy%M?BMBLse1w7iDM&W$r z9K~w_`sUw{Uf~z;U*9bD>-PVCwi)~1!*OkIpvqZe=t@n|&HjDrwf)Ue^82%2TJx3S zBt=A;wY>Rap?a;ZsX?%f7)?CUE@dFYGK7P+a6Si+1_huRy3awe%LA`+ci@xE>@%5N zSTuTo)uEUP2rWg%ARi58x@FkCA6P5;($G!TD|nZgz2a!VU7+r?EDwmjrfy*G7lQ-( zjE(N3L%A|E=g*JawBcuGmxs#s_@96JfXpdK7_9WpXSt6q&8@bS5qMVi=HN**&}OH| zszchA7$&AW}2!=AQu_)Kz#IU6=b*%!%K311d17W;c;- zV8y6jcLVac4(dKoW!9#z;36Um|CDHcsDt*@|1m)Oib_gKFa9_TzZxR-$B@ll&xf>b zTZtYvr;LFt<2-F3b^}5kZW_!MK*d2d@lrY4Bx!DL&hR)fTvgJR>(>ehO&Oq%3?NZt zj1Wfj1JK6uxfa^U|H4wV_8F8)5&*w#Ne9r#1U_5y1RRtFz!_KzZnGb*0Bhm^{TLuY zA6Or1`=Qfl^CJYLZZ~k)w(0*mzfnNe0_bx`lVNZk^*hUk2db{hrfY%&&e8tONdncYf4S2UAD}( zLB8$IHjRLi3- z1Ui8w@q3M^TAo!J;Zr=Ysv7_$ddcX~SKw4dCjNQ(^0xDqofA-<-MN-H+Bo1-fiy^8 zMFO14!3P6>7H1|`7k8>faw__2RQ;Kxx9Wk_xp93e)%AWyp)6jR-CM@&Q((I(f6Qtn ztsdbkUNum^Cq0^4Uqxs@lfU~z&}R~XzT~=NxUdx`m#5Z!GS^h+O^q9|#onZ4%tVJr zig-%fW@dgKKd~(Hvp-{FsOC_2fZg!oV0+$W%+!m=56>?)y@)<39%S>Fv0a0gle~}e zb3nFx!hL-4{g(x;4tHPL%(?JcJuU?`5ak(+QiSePSBa#a_)|_tNNui{SVzg`-@?ol$zWW>UWVK0XExXC z7_9x6SeP$b2&@XrKCd`S%^I>6p*FFzC1NZo)-?CEO`f)u=MlkOB@oLRd&%~|^_$sk zC*&Je=$6_%N-;K#Hq*Th3W7hY>2G(o=5G&Q7lbj&thzT*f6O%iEM`#-qRLc z@7`Qn$LMK&yD0wAX6#+h^74FR^(p!do%Yk&vu6`aM+T%nkuaLkR|8`Kw4WqAzYGXp za$r<&KbkoEy|=uZc|zh{DN7zV*iCQ~NW7+C8{J46ry z!dqQ*sM{yR=@oltBp1E(yQi*nrw@ActR71}6Zo0{mA_!|?oK|n!xZaYIDD^qmxw5t z;o>;%*+7wU(a5Vpre(2M4r87e1AjsMQ{j4s$iP5xQpP_FCu|+2j4NOvd~6i=XO=iN zH8~l1fJMG(F6|h%^MdNvnLnk73V4mM~56LdqHR5B;?ceq@&Ax_Vb&3)32D zJp8)Fz|Qhb%g$Ys3(kWOe*tpqwI@C?=*>yXA3WeXDPtGpO*>wuExh{H_u@(iGa30$ zCKkz1uLv{Mk+mvI29*sURB?|yIE=Vr1a@jJV3cGZr{Z||jJeGx3IsQ+WWks8Dy2pH z+x{%{Ew)s;|E3i?(Ww)-)FY4g!_eEV}=uFz?|o!;t$PXvgzSW>HVR$mUu$Ot_D{uk0_zzn8v*L5+X z&4SHp3|NdIy8|OvvdpX(3KnwYh}N!cr%i#1rlRRGGw3vM;!5J1Y_G5!JFUXhzxlh1 zTGs6dL$ae*{4LjcYv(_A&WW~5np$jjC3sEfcNuZQxNGd9YwlYTmrNU?AXHU``*m3wA`jRweO6At45c?fv~;8cGm* ztF6}oFM*wm3%`9{z0zNb=+oWk7;OU=yqPf{im$nnPvC%9=JyF5M)K*F+6JwZ-wMD88%ZsJvPfv}q zd1lQ@$ks8uP|n-<7B+0m5vSmPscx%oebcVSi!ENB?y*2!{u*XF^d(-Khpgc5-3zji zej}VZloSDHS9f%ndr%3QCbNXUIB-1C?4ND>ySdHB83 z6;X$*R=T~f(U_7}u9W!L5rq~V|}PVs7@LeIsC*S^>(?B0v; zcYm%b*nK!rUfL{8X5oIeYIK@(JM}LXH#bb&^D;L>mCvG^^wUNG#54jpKe@`?phLSl zfHaUZ#g;Os{#AQi?CTS;-4TjTyX?Zv{qzJwwbiw6$4^|B(~uy5Ax(05T21=i3w7mU z`X?;JN+}+eWTOErq{AtHUnX-Y+?w{j!f<9Hi8|~vDYcE}m-_dI+DCJKoKMXwukj^4 zGZjQExcn~3*=e%U^CYVZ?R2ZJx(fz9`l+%Xh4l!<8TLG$maJ~{@m|$i z-Fe^9+b6@QWZqZP8Bx5k)6b{$hjcJ0$Y z*^qTyWLU=5<=EkTVS7vbr*?2OWKP9M~3k_c+3;awHhFZebEKa7_q>sD2qJrV}ZNT!=GDsJv zrcMU&LET|xstF9uy;RpAt-3Or>0feCRs9G$Sp2J3e}Gl5s|QGvxbpX8`Am1 z94asP6H8*Eox$mYVj3XcpP--$@9gX_$i{jgfD*@8T#-7m|=g#)?_svMTKMVrAqyXB?eG+>cY*tXt1D&X#*yOir=wQe>bIQ zLj?ZBgP!#XV9g}ZLmlY)4s{1$4XyVB0J0mrdGjZf(s96TAy5X+1aJ|X=BA6lH?FZ*ZMdfO@pKrG={dW1krNl`DdXns(eO zci6DAv%3y;JjnLec{4yij=yIqLc@mG*y-L}S;Qy+h!04)uo%`F!DA}{qo|yrE;R(d>`r7y@Yd-39UBlX3Lh$gtBW(z8f z_0pJhA28{+D#n0<#!STFjytb;0zNm%891V?V=<`>x82$-udHO`;_4bO*Js~RzM+hN zjEtB_^aNIR8~||#st%uj_i;?Bj2YkriYZUsVVWJ-QTc&^UVl_=xLqqA>|d?gvw-q6nyh#XEEE$9m5|gH7>&Vog6alT(G@Xy`1Y&%dnutRTdZa&c*^B!ET384EKf@w=cTwES5p%n(& z7irSBA)g7$zyiDtq5!Iy(fS7b+XfX>Ca_uIy`yfT!rQ}S=$W97cXcNWJpy^#dg%LU zlo??g$$-3kTeqHavpfSfr}>xKVsNKI=L2TYlM|V5NLkcX;gagr+w&a05qUeij6fy_ zuxKQM?}{5A0d@gc+8H)8y}<-|g8lVuF@sx`w4Gb>3sCTZ ziV4OY3tS-=lSYv$)B=n?pWydILuy4wE+NSb87I!1Jv)7D8=@1s?jh*jU@nmY{p!UZ zs1fIm_Tu$U_rpVs)v%iNL84e0o$N?a1n)2Gs08H90U-?Ekc+~@)>$L!tbWe^keq=p&N&lWM?TnpLIxi7vf%44;A1lYgW*f4cI+3P10dT1Q#p8qSlG zPvH4@dACAdqR;xcKpKU=OP0SeSXPnI?z0-94`()%eeR$&|C_YPWZinb&olf>oK&>R z?lD=3UVFbt^kn@-q$K=Hq)6fR$S&8+t_#kk`_#@amc>x(HyQDZC+WT*E4fG4q;l`^ zJ*l^2@zMXm>x6o8vkN1RE3xjM6WZ&hdo+&uZyM({LF)hcG=^HgnUmjNXyg&M&y-}^ z-&}ij1#V2FM7d8PQIJ*3{O8?5CHLqjqW|q>4F^YLY0*fg-Z9}XpQC_({bqo=FE|VS z$D48d`({+XzAoeU!_VZ!wUQJ%sA{?sDM@U7ymp-Dj}k2Z#GEz!pd>74dt^fxksCyT zW|24c$(>(={XfSu=r=L+d%~b{-{+G4{YW@wpIU3%r`9s1e-DWH@4MIRPv!r-`+v_C z2gyV$C3>VuJ%^xAsKY@9`dDWxNOrwY!a5Sva%}5cG%v3 z^lzXL;w^?n04a6%@bdDWgE#^r3%8mMBr^jLvyev$G$PpJ;wZ&I&Roni{f^DUX+_3307&{^d+Y`QKHPrfB4iK= zK(ya2J@%%_RrMqlw;VFVdV|F|PrDCXFYn&GX$1X94ktmCX-ZH>nG}XAG-Y{j?Ym}@ z&bg)krj_#xL|BAjpnV~mfz(LZ?Tf{NU^{HpMjxh~VtMDUhB z-Y3T00Kb8$my)_3ivfKEwd5c(OSZPQHc~#(ShQGkn)E95WSc62zornPlre+!=Lg|u zF>m*|OkE@D!yDhd0g|Ek3Xryaq%L$B)HOzS_BMVB39y`y($JXB?!u2yTNDPI@L)RU z0N^Hy1{cQKKV|yX7V5Ax^M!0Q32f5@p|}``{Adtl_3J-!t-RM=o$9*cEjr_>0v$ET z(8E$N_Y%Adk)ZdC=Z=QAFs2k>Q>L+dTx@r8RH&q|45a$Dd|Ojo3W#XeAE|&d9X0Q1 zv~cY0t*6EvO?9~ACmzA~!fyUGyOv?VPoLc1KmUfX|B5Kh9{=u&-ybUt!u%qNh57zt zzluV<*uUGaEhaj6|H=Mt9R9T%|0TMAZ{XkYs{A4Zvan5vmaKcvJ9zEtwA^Hu2K#!pGJQ(D8wzthmsXym0oBj?M`C zQ8XPxZl_C47q(O$f}LIqk>Z>%vAh(}nMV7q~T$IHaL>v@TuKe?jQ=oWGX^@JP(%Bb57ETT-p8$f+7Lkm>yUe!dT zI4UEvTXiksIy18bbjWyvcUiNzOAcriA&(0K^=oi1SJjJM$Coq@LqdkO(6kC~niL3A zYU=7_kLFsFR1^W**zRE{qU8D*)@6{u;(?v_vH|}{Ol+*Wr4-!bt~x7>T67V3g%SEM zRnwtE+oV?3^mHH3!vy)o>xYkG^tVT35m&fEC01h{oW&$M@gYn59Q8;P)m!?Fxt8hf zk7nKagw>-89Zc5WNO#+hFs*MY-J3dSrgr>)B~%Z#eGnn(RSckmA=*@t7ByR%BwBSr)+e7xHJkU) zAuEGE1>-TcFR6kDc21KJC?YxP-Wv{;6;803CDh028t4%&*pDuRHRJD{=IcuHD_R@y z2_Mgv=UI&&pDto$IAf94z9xs0$%|3=(ogCCC9q#as_E~3^10sf{I1X&`s4A>mv_zF zsa@=S`zf+jI0@$x`TMFnH$8&$B&QuxvIV$Tx<1L`8Vsw_eGgmQkh0q&g9sphg6B`n zv|#=<%y<+~2NNLTg6G{S8Ukhxk5EpR;A&vAALz*5yVNaSYH^swQYHrSnS`s^=kkBv zqU!c*ugyKm?r;xlGtC#ZT0uKzgbA22JU`r+azFR3wVteypg^~BWBvivK(AW0MB_t3 z*T-?|ZdAwTyzPF>{OQDgMOajkj?sMfN#W+W2`SUhqzdc%DLG>K4u3DzeAe2qt}>tI zGE<-t?@d@*x{;YPeP5ohgdk|k$rLYH+?~Q6D&v>RC{E)+ND5^*5@#XiN=rX17VE5T zCU@+uKDXo4$95x;rrN`gp`ZWAIkU z+`s=)Mn(qd(8yf_vV*Oz(RCuaE8B86dKGIrKBi{Jgjco38sp@WEZ($e7Ze!9D_vG% zY*$yUxS(GiayBonxm?@PiSPE07zT2Fj(e4o;fy(90JX_JzuWwxciJ?m+syp>NHG3} zaaV9W1L;SCM{`X}EJf5IJZ7+5+v9_RDQ^-3DKqU9Y0cs9JvD*}%;OoWPxG)|I$tI{ z>pLja%S1gVUmNrV_%T*E*tUFDE}X{`(+u)V5Gp!(_o4v7aRN$ikk&sylVl`JrwA6g z`h9%j1&W#zhUA3@F9 zojUBdv&KUD7txx=U+P2O{;Kt@3UtEJMkogP4g_P*otc8>*-#19qT0Ac2H9pw?78z3 zNgkF@MEHE|yD$yIN~T+EO~5;U*>dE=Tgj)tb}1S?o`#82_x$S=RR&|j=F!R2>c4^! zy;}@`tPhM0-5I*xKx3c|2r#M{LaQB6#vLG^S*r0vKkE3n7g^(TZJqC>E%q|UI@k@# zBLf}e@dC3vIZtCLja7@km?TR-@D|8UzuQhibluUG<9Lf@pvM!J!GFTsF4P^?D(=Ox zIN$jqBVB~q8o*-WwdjFJ)bMhy3q2=a9W1t;c`Ns?&wm^bhe8_(Sisa6fbz(oy!2Ck zn1pxE75dlh+lHak1|EcxRr;s_^l;?ul-g^nQ&zwFfmHP^KS;=5jBd6+9Df5Q~IN=L$S+KhK7CV0z|Ig zGGM&2jEe7AXRhwL;LaUeZl525=9W|`mg&xEN1;qv9GiczzJ*+G>HUH!K~7292w(4P z_k)Lcsp6M4Bm21+w{`{8ooByVg-O)4x^FW~)Xw5`kQ1gW+=dqXK z`R2bJwRA1U#Ved_^3EW+qgJ`TDAbb`p%6x{xiU@z8`F9-McT_9PD2diMAM=F9;4>}~8&^t%%K}ZEY1!aL%U{wU=wEYmV)XE%u;f9< zSm|%cz-6;{s^8)Z3~A(wC9v!i4lDLH;!1L;v%x;?sDwl#bE>1jxj0EPir*ESWI68K?_X;|As9t7CUjb~jNiC{CX zaJJTW`DcataSIUD6Z3j_FDl6nY%z;7k+)sO>+>vp@w2*WkC%#f%p=rYB4LsQlInUS zCI{MMhGs`2pDdCH=iMyo?(v&*Wd8p4DDo?rtQTR|K_>F6 z`b2N?D^Q#8mXaarE~f6=6*Ab{D>d76*q6r7p=s+ha&~hUj@&%LDr6pc+(z zHlZ)jO{834mj>s3EKq$Jt7F!+c?NPg# zweAfB%8FPex7lfzkp~zY6Nx}Ti(*lKRezyF0$^K{6G-#VA;)5>VmA9F07#==e`F!e z&=E(58boJ9S0205h84gVxb_kmNcKP)CV)Bxw0LKv6C4RL(UYA5-ki~ZA8>_hLL@je zVs@ZsWuiCN(rX29fZS1%TO@4o%Q;C4`ZzHA^kf26N;&PaHSZpBTi@b0+4mgzGIDNj zji441D4#w9zc&Gt)(6^cXc^mU3pqs|4aUGbONhjjGE>c4_j7;Le|!r{1@NrePt?@m zT(_XWaW%|YKldYKa(P5HG>hhXtnjP&$gDs+kr5!tYz*fwDEWnkrb z@Z!O@9zr33j#WUWawwG=m8U}L7eE;0eEb5#CJUd_%Hu<{CEF+^?w5cBlG_^|DhOU ze3vg`SO)mn3N7Hs12+znE_e5?YiV69IBs#^qu*y3Ro}A0SNpd@!|DSlpXI?v45!{i zLze(JRVsHjKv6($?SJV=|5h?a1u^JNR)8i4Aohkpik;hlZoqTr&JFFAGOoSP0sm)) zN`e!d+ZcMsiesO`vl9(Pi0%<*W`$2zLLKY(3`;*Y_DQJ#FgN`ou3i&v?p52VyuXUx z-<;YF?|qY&4lIpF&YskK${=o_;~!v9@nA6JWm*N3WQ|Tn92gnb`>*bO*^jHJm*eNp zpSPcu5CLB;0v3Kb=$xl4(JPGK%PB5@a%!=Wu7+! zT@r%m@EuUuEyY>)I6>DK(xtgj;7mYFYaL((kZI@ztqm=hskBP8!k}YeDy03l!O+pM z0EU3Fn>nRfR3`0NIZRp{oM7X=0{?mV@Zs=SG04uS(E&y%9q1LcwZ5<5!h&~~2lsFI zGul07D<=2W^mFGs6b6GHV7)~?%)=+ncj97d;WVO`hflPE8 z+DUuM$(3Sxrmtt*j6xWquyk^b1T?wE81M5i&Brlfg`_uQ=wLRU{$_BW#HL=k?zq1c zZ~ymF#82vr)O@?YPow@zuDGTD2caoi^K9i84f2c8jA7k8wYL~=c%9I`_@73-f!}<~ z?`yUH2jL>7FTDSazc<9lFM_mO`(Jb2FEUm1Uq1V{x$a;7^|w#)$-hR$U$ifI24R0> zf1c!wc=n&RMAhq}|M}I-euZAx4WFL_Zd3=Ka?x0?<)sP|-5AeJ;X%2JUA#}Z^YoA7 z$)S5Y)$Fi8X5T6L+ejFo{o7<1Q1Ra;L!p@ea#TK%`{kfi`0b$l_ho)_QMJE0?cYPA zQ+#=Esg?sbHGsC6>n|QFM*6?~nZL>P8{Yfu@4v#qZz`;&nqlhC<23s-=Q+T6vKa9+ z|6cyvVflNcA<6uwpHl1vNqjcx+(yd&K$rad?X%q8KhErYCDnhe2J%wVy=(rD@v;v0 zUq1-?MV1feer%Nl=@NB`fcY^KY98Tc=y3xY^B3Fm!$2&69_3KKRu|C6!Q?9ohBs?y z{)PY}f_-<6{xh6Ll*7gkFLg=rN$gV^g&#lCoAnWy1>x@(3mU((L)H?0AaH)W~xDr0dPeh2wJZ0(c0iB z;NNogrSXOTHD-U+-(@M@l4;;w^niAP7(g|X84diXCG-3ZC7+b(yxTF_zjzzau&Xab z0XQ8;{X|Hm24`lizdS-!%vE_3M~YBy9bf}!L4$*E{#C^5TDTG80bYN4;OsSeZ0O@= z;m8eeTQ9>Y2V-F2pXf}BLiTsC!9NCTp_#Tn+_J=)eyL8qE(gajq60$&o-E&>J zJx0U{s8eXLNdcR?^nn8hknNQgHL^pCFyz+cM8q!U%#?w!&dgjNIlaJ8NDGNY4BWXQ zA|e)gVA_?DlaovCu>-ua3}@}=K`$jbz@bRXDo%y~XY7G6uEEv4yGhuMhwh@}L?kVm z3ExwkaB^~jGZB8ynFX|>CUgL=#ALZT8cW^aB4@1Fh0ZL4?>?8oChr9@_hd7x8GW2a zAtn=?1RtZe0S20LGa|eyC6(?$4``qa02QoS)X&Rd+P~Mg1Xg|cXeezQObIbrGcnLo zNWTX>bB>BC2{Oz$3=s6WR(05@kvl_ckrnj8QBI=DJC2dtDDTn`+&ZT6#t*R(@N%o*1j2y`zUbR=z$ z3hbs4q&e8wWPu1$gnlXLbPU`|mSLh9mB8P14im5~`V~fl<4&2C7mj9~2m8#ao%E;0 zB%8Jtal|{`7WCf`h|B6Rk%hK8bn=35GkB$~CR*tMLYwZh!*^#?$z{Q8AP;?55~yPn zWT-?yh3Eu^?sV<FK!*0Lrt!iVar32{q9PQ1s}9$$9O} zygGnj2XQQgi2>chendvbW&K zDA*t?&KVGqShF{DA`=A6Boj2i2}93dGMpx90(a?+N<;Oyy7861JO0_W{^q2o39)od zPpSOnZjH5?k8;c3M))5a~nRHEQC)?8T0 z(l6g=*|2L?5975~$DX4cic^g6QdqyWbDVfVZXs@Q!%#l`sH)A}TS~^`a-!YMFl7VdaQF)3D*};OJze=P}*e=G~EuCLJA>f{dKeW1&wT z^%hCqy=TAH|7WJYy6Tl{Gx8BHRIEApWCb@XAh3dqIE3T+=W9Fx&13?U&1~CQ2BYD( z3;Q^Q9^Pke7e&lMcI)xB(5N%Z%__$jl*?2Og){29^gTzscEYYZ&(c~==u&@9U*3A` z)8%o6ihkYNRwo03L*aH)TEmerZYOoofUp}rS_jS@X(%BI`~NyS^LVQBzKyHyrYWkq zC!sRhgbF2;C8X}A4w48ZOGXhQOV+Z~G^0hz$(pqy`!dOzr7|VTGB{4QNJ`l%r(+HG z^`V((=DDBeHP7q$W2P4lzjJ=S?|OZ%>-{y#)n7Ksx2{)*N7E@ucLM_r_BW(;T9)v( z^qvuTBxm(;ZspjkbE4MuLF37Ws}EF0oU?7}jhyS&W4SZisnmK;jPrh`9M?~jmA*92 zz)gUam^4R}Q6iYEM*H< z+sfPgjM_P`+7w(QrEaF(p_NG)!#>oDi!p@(Np;_Cy=aLQgah=j>{|hkp2tvzQ$jf`J zGK3>;9Z@L;2!MW~jylR|0g^NiP!UKDxZ? zlr=e{eQIV%t}J}=lUcO3n6g;8IJ0`aWc^5n?x1t;z)|fe!*HfIGcHr-#L>v7y4~T= zo;IA4F7td9bHSiAV#jN=-}n@!{AZ4e;dz!O*XG=@w_zq8FVuL3bF(Vu-<-#MDp*kr z>tR7x^eM9VF>2xUBTpCxUrkj0JV7;ZnfUC%?QN7T81=j#A)h(^Cs?lR&E4Yq-yB!d;?l zq^TpvL28(jS7oIeJk$3$Uy_@n);Lrz*uWxgjl=3yi!atNNRp|Fs!B0~Bo3dHt9ww! zZ>7OH4zvI8UkjG?H67PYTc=K@|GJ~p_Koz<3OCub@yAIuM-9zMT}LKl;i^nE*Y|2E z7UI=OgL@tfs?P8hNj6s1iP*rH*x&+Nx;c9ZE7{X=NyMIH7ro5Qlaq>BQXl=RqN;WK zk_D?%YWEdilzek*&)h2ZdWOiPT7k@%+OkHQ{R?!HB-AQLqIi$YXx9~+p6in9{rvoF zvBUNR_))mYswy(+!v_b3E|xNIr$$LhPs!d&0X>#)FOQ9H97^o)3^I6_E@!8yrH63@ z(uR4={H{kL@h-i;D(<-+E&A?Zs(h*G+Kf3y{B;A_39P&7iT3`3?6PY^&Fm%oZa}ZFj>lyjiiZDBvbTB8^>-!0 z4Nvz5>2L1tDIwsp?lba6WKG12$M~uwbeHPGXejaKlS$91&@Fkd9yePT7D-(M5T? zrh2cyRc!(r_8RQY3>C3mltgtJBw@zYwCQKQ_;kC~ z*=lQd>`;Ait95LH>7;{Z+TlkoB?aD3-4*=J8qBYLszab!1hS!m0MQ6?e7e<&8J8CJMX9G8oK3 z?Ge+Sf-*sa1DRjjtFCGEzqIHSqO~y;5`_X|iCCc6&?jBkZAxG^=ED%~>+@CcDAXd# zta@2S0Gc9jU>kmwXF$A~F&;15xG{zNf$4($-JHOBY^9~E*Qa6d(tJQKdQyU`!j4P) zahB!%BZyqX-phc(yh}GGEbPElM|zdCpsn*N@{zUXVC(7ro8;<4&0 znf`Ml!H+&f6pC}i&R#(mPp| z!WX!9H5X=F(FZ6tSl{UU|PEv5a9a7KqGC&@R|xDqCp{F=;&TKz3(1H4(Rur_00QP_5b2h z_ATt#eo(Ni9@**wFj1qcVXZO@)SrC&;zD)nOhlom^yj&j0)U2N&fzP)Z?ZjwGL-c z*#k`C6U)#nUwPVvw9JtI5E>ur zd=XURkN%gU`o&)NABMR2C2-SCyWAfAw=8(O0r)BgV7dUBL1=zV^^)uf6jbye7m;EH z^nxv{mcQ2~BrA`E&-@!H3?vp!0=`m(50H)&lr|_ZfV&3Ss_B`F6K{IRm5dFD-#k_H z=|4@5-CAceHwnt)6b!XAJY4V~Nx-Cm|Ltg(c6xAEF=2g>c$c%OmtY9m`x60NWvn-g z4B^h7Kw&BZ7nDk1&CT}tuLaNvHQ`>Z~HSadTt#tD31_o->_kNgMe`7j(e=pizb@AU;DJoROCgJVW z!vp3*|9K0Z1d9YVC}cGJjWkJrsX#&WVF#|>RbS%c1Kn>oM*P}HMdx0@(td!AL_`GV zJjLVKZRW)de&POVe$il)Z2@X0Tr7W4d9uOZ;ndF(K!n}bHY`EJp^~e#ciiMVrxJ^v zY@-h@<20*H8*k%}n(Qh)F^^ZUf+n`#O_>HYdPYVwrlslMCFt~owNkvifBl|6kRN~j z4t%6j_v4ad^)buGB+6S>8==L@G``Y|4MoG#Kl3anpE47{Zq5Az60&KUVMe^%%6 zuKDds(m_<)m7KQr|LN5KtC_S#&-ipaFXN zJY~KWhK9Q*e9d=dGwoo)3zRN(OOy;Kwxd)&YVms#8D-kW_SmbzQA=-5Cexs zN_8=?tbf^>u^P2O;0Q{(noR7LnuHDMfiq&$+)Y^;ba)A(yfmS|`z4XvQw}9PDpR z@mubFVCO~teK-Yz&;r=nDt;P4etv(v#$s~jk*CR0G-Ay)wqTlA1{3QCh%N$t=@Q6l_Na*cio^Rg`{fl59Tr=xRvjt^JD%1vV% zv0%^45vc*8)0wZXuxYd1<_MyK5R8lRa+kNfNF)zIss-k&0tk6T)N5})Oyvw^*WSz$ z?`&uOJn1C|DzHM)f+FaFm1t#SmX&j%_wWaE!2BZ>eiPp6UL%ZzpOD2fD8O2P(&U5j zQwiyg&_uvdgAaHeNS<&Y9V1X<4~I7T8^4rMJuJb`ijDDCt#Jy$!4mJHgRq5MxOj0> zM$zDPuLu>-Pa9E)kjGIZTj0ChLZ&f-H4$Y<=5ZJX<|$x3!RkRlxsLyqTKIeVq+j#YCkFRGWq`TTLvG5nwLpf9yb(<^z+Bhgs2qEm21p>F>RJABV1){2^wK*Z?254=gdoPW z&{(IQNAc#$3PrtQkml1$3l7tt#ClCRXT3f@#}@}nT?2O6xkvEFNTDO&zyfaTq}$`v{!{2 zRJsY%`bN;n?&5=EdcKaw7Y;djtcRW#OhM10l-WYgFF(_%Ji-k!$iLTRn(x5f2az#p zt=hgZymk4tIj(eao5O{=;j<^i84kAa3ff8RHm_MpG&p1QK z+d>^Zz7G9a4rh0eVUuj8_QfNXkSN!(UlTtRn5O2KjOman08feVoAh3R&)+X*<*i${ z77Gg>_c28~M7;I@^DY`9g;!uc$So0Bx-=O#;kC6HSgAOz=GDp8`)X1fx(v`BzY8HE z9LhwXy;si~>9bJf@`%Pd;%*xz5A9(kw{^%e@|c%gkMnyv=~4Brqn z5dw5ceU={^8dGCfS&@yfOPOuxL_&QOdPU1%SzDVLo2walD^rX) z>T>~uSX06>LZKsfp&y!$@fOp_N)HbYMdRV1#KhPMm;RQAU{#cI z=<1Ox{{DsCUz(Z>V#IYcD*{-volJ8WFz8qt5H$@^GYL6qp7)HVYJ4HohEhs$d1ARRIWlXe@x#U;4eWMlUySi# zH_^r^{DhKh59U1w>t)!tr&+Tii>~uZgNdr%~apN#N%gxLDX{ zuQ3@Ho}F$e$`x3I^#EJ|Zvm&Rx65t4jRI*B;jxiR$CFsYpp7hvS}5Q@HdQ}~ah={@ zL0?WYq9j}NQxEJT#16U{GT-4{VN|~VdH%9)Fi>G4NJXvpc+5P>X1E8jmXXG3J_`Ol zbJ7Jp6m#Qv&4w{UWK+ZnYQtM9)h8RIt$X)Seif`~4a67&s+ooWa_3b=tJr3=41t>x z<24vArX87xomdLSTiWQt3}AJ|0&|oRCSV8+X_R-tqaW*9__f1a41CCE)nHkeiVNyv zVNxfR+X5udXB|w>i^O@@P}lWf10$|8 zmbL8#WnrGiS=b8NV$DPgM4(OOv6*K$3Ejblmo;@l7BEYc5F#=Q=F^tpxldLzJ@X!+ z8&QRjSj8wv(qG)4df=Cb3wU`Buf$)g!`d!|%Eg$hDTeF`Gum_W86o$lgQOjKI<(LK hf1bieznM2Vi<8}{?{PEx0>0#7?9~2O`u4+T{|$_8bn5^B literal 0 HcmV?d00001 diff --git a/Fictional Character Battle Outcome Prediction/Images/__results___18_0.png b/Fictional Character Battle Outcome Prediction/Images/__results___18_0.png new file mode 100644 index 0000000000000000000000000000000000000000..0e2a870677894ca56fc69a34c08098519b0e35ed GIT binary patch literal 18228 zcmeHvXIPb4m*rJUtwM!Q1+!u)2uRXWK(bjcNRF3iA|oIfB&lT%=#`*Il$<5!pok;^ z$&y7uGDyxa>-g1IT|M1B-90~M`kCo^9;M{+-h1Bj?z8t=Yp=~cdD%1T7`8D`D3o>7 zvnLfPl;!#Ov-js!((yS;HrVHfHvIxm=BMRko5cT9S zWqaSjRtI&Jx-aiXrVi}qe(xWZMTGn=`*6+kuiqytsTkz%duap%ONpX6DZ;S!%*MBA`9ZMQnmdcE8A{&#Yc3n6z{ zUDR#*YM-X1rR`w6)0Au!+@R~KowqQlNwXV{+9_&#ZX<_mtrxGR)Sz#)TD(`ezLlA6 zmiDn@$1=Y@79D@PhQDWeB#vr<#-u6YBtS+i5a@%v*NNVmGqzbd`GWzXcCyd*$r%dFPdoKz_h zeelwIkDi%$wa^i})t^Uy&d(PZ%D=v%uO{5xxGpMmdfHwkUZ*vKpN~&=ZfdweP1ji^ z%30*vWQ>!uv-E`TDU~O=sU{7wIoGCaxtcR=qD5@_LUeK*jk+uRD*A_phWPC4rZ)7) zk1sh-j*s(Hjm>XmVq$Wz|K5I9!K1KUTUPclpH}*AbMs+ENg?^R11p!OznAe7QQ5k6 z>+DqC(%=RctGZ}4Id{oLd;if&$t5l9#nVKCTk0}RYehI|{$b7xMwi;domQi%@RCSc4QwT>z!BU4xWbgxR5?Ulws+qwva z6AN=w4TzFt#|h(Br?GN+$n_PgMZ(!Wyf{?k;B@igD-pXP9#>aal?eG`gUx9TnKu1e z6;J252mM6tqIC0I7}l;;Zce?j#`47&p4kh8y+CMKSYNqN`v)s=7s>aJwhQeS5z$bI zQhw_0?*8`e+rx$*cT>H;C8@@0sL&4^RkL+}+9&JF*;}nub)SX1FFe3S(VI`Zv%5R| z`SUH^xn<>h7rG^vA~jNsOK^i^3D}LE#HGigL&Z}@W5dn!Nx5A@tEaydK5$%|=~hWI z(*Ha*WB*$;zh4wJWfVmeeBEnIPGXnvy4-1ZEaCX;g8!~mlo#vr}eaqe3J|+ z5!^LQlJifx(>LqbAH$;)aU3@cs<30vP|}xJoW3OEFGdqEu6=^DB4Rrbfo;pGU0ATG zC@obCmGV4n@i|}YN?3S!S#z_docM%C63?MSN*ni`lh1LSxSZC^vTa)wZcU_8pu%rh z(sj{Ez^p~xHmh}Jcs|%&Lh!i?jWFMd8@RdmR4qhK3P1C4F_# z;odrq_c$8T`Mw8>T0GKBynL^(HZr)`EGss@C`LO=HNbiD#V&`=^)oXwMziC+xWb!} zRU)R;lUtfDX!y)x=2iZ!5zv0BRI#0FUfB3NW_g^-4e)|@N_liDohjDhY+1#d#H!Xd9VsUO*ZDDp| z0{NpjG3J%FJr(Dt9*JxsZ)rj98HZd&nyi%6eR7r%y2c-#A7uFX=Z|l0uAXQ#2%yrV zRAZyCdc*1O9hp;Y*KFFIr>JzZ?2*$3+c)#;C|g@6H>F;QR?~4{uS{7AMw-zzsPI+L z((eK_RzM=NKc87JBE?t^vyEbf;@3suLr;IbWlo{PFv^w_aC)SHb;?geMpSCWV1 zLvoC&g3nBRFJOw+FZUry^!?+V(Yme+D)Bj!8VR~Wfyy*W9L>nc$crudjQg&Y5~t~1 zU0r&E*a=#yO~0x%ed7Ig^CM*lAMfr@zyJOdzJcc|TBcv=e}$TeCt#wTZC@4Ya;$la zq)Rq?$?QN<Sy4JNQmv}F*ImxvAT2X7R|2J#yiRM?eD+f zgU#D>9V(s$s6?yM=rM8`v&@yS`0U1BGCDGn;4;&-*}wtGjlE=>uw_V6 zjPu;2>fGeuQgS)>1n-pNx28nB2YBtb%Xg)7!u=gf>6Z(OibTs$67;BvC{15^q^Z;d zoXd&MXL8?!8-`i*eeoVC$B!S685l4%X#7_Ga?F`u+sp|Is$;G@q38p{S^6raLBv z$4|^baiXtI>F7~6LGw1>@baJ&cfP%t)A%U3I2N!JK}*snM{g{7&Y;ZnN@Lk=-ViKQj&tBf~Ynr+C_Nhp6Cp`P%n!dKX;abelAW%LmK zym>_$jdn_+@_R?Y8m%;gN`F2%LGz5RO?YHdOAEuU51bZn6klhNT~>`Mw+!lj~Q8GB7#w3k|i-me~V z37p?USJa%$#VO|P5>!P~(-jqdEe8xg3}{)wyBZS$CJdI!WnfBEty z%0su}t{ppK+}tS0hsB}UyN3(7xr&brXZG^}^JpWTd0QJXya7gx*d^}BJiEGRzH@3t z6KfI6mMxrAwH@Af?%Z*l=nLh~oqjvhHjU%$;py46!EI`=IUESC(;;5S@Z-_yP%fc7 z@Ahj8PtWX9xVdVb^;D}}^yx?2wjDN<_phW3G^fdxdGVH6`A0-VI90CDGI_pYtyTfh zD2~#oQ+{uymYL`Be!H;?tj^;K<^JNDa$+ODYowX+0+TeF3IgSEv@^Y#Uo6Gif1G_XrgdgPtOQ>Qf=+9;7geRm)XeNxgk+rTH?tvZ~lhBV>ie9qT~Cr zhI7km(&j%6+Gb?1439CqEcY6o?;aQ!xM-BMn_*NUTLW;QuOU95&3Q^YXJN7#pYQj0 zr)XH-d>6l~qv??GFW#DG=2|kWX5u2`Yp)XMNs_r2pLUeL__aQQOM_28s*Rx?GVt^D z-63$LNx3FWrY!Bz$B**f4Kq0n(LiXtnyH2}qg@)A){*2wQZ`+e7JWqR;>N^CQuIey zI8{E|o_^hgW!aYW_cs0YGD-U7ipP)Nzctl+nvlW$;9^^bi z)?YNbo2L~~>Q~xfal}_HT&fIEB&ywIPNu4=%2i{kUemlTHmxnH<@s=Y=hC!C>H%l0*~`+>G8qwi>&_j~vS-hp zdHVQ70jRO0$KK#9J`yTjvs=e`LWOKMlA20gl**cMJFn(;@oSTvzjy&6*F4>OrWWP! z71L)Xv%Cdc5_fAh^ASMF!pa&CG%(C(1LPKsv`0#r+C=Wi=&0h7m3RG5Kz16D;w9Cd-$*?R#jvGZG7lFm zU~RQ|ixd0=04oGYI5Q->TrGOM6LmNg_@{H`QDF=%$$I2Vp;&k3HUNyi)~qxy9@;A= ziRq(2Le?)9cT<_fzPml%B~F-+P~`}y-Ak*LUfjYCqnG{1zQqkZo%474e0{aYlP7_w zLEXX<$VIr6=X<)_=v@x5p*XYFOpVv)ukUjDehiN}%V}fF>_qq?eN*BPoDzQd2Hg>iFt9z zAPQ-bJg?=;mmjwJb`G$$q@h7ARwG4GUH$puM7(S7P}Z<2DyIOlcdJFgIsozrum<)! z1wp8k%#QPUQ-f*keMt4C6&3Xe-W0P|5ni2a^~J?Sjby{8H*VhKzczqVIe`M&59FrO znrUP6?ZeibxuGn}BReYcdr%^{p8$80{Z8c5{^xi1Pi%j|pJ)q|;xKTS53$FsW@yH81xOP(rpw9SE(hRYvyKX?I=9 z`Bvcp`?oK;a8vW7CccM-DH-w@wG za<8nPNaVGtp+b?c)vQkP=Gh~+3Ed5od6_9j_2zS~`Am=>q9h&%&y!Gi;17hDCaddw zf)~GT9N4?g$c_`Y*H+=6)drndO-LW1ji~!UfGMJtLLfS1+ps%Ud@^>E1GFpcx!UBx z5uSir$=v_xx}u8h8hHw*ES8dTn{lTx2v+mx=x8EnON`)^CUvqfo5gtt197UVmX?

2s+m2WSs)S0hL|-htuL^*kg0~Tyu=HLiHGdI*BlQB!%Ld57Ry}$0_pXkPrv_W2SzV^zWDe)f5ptsm7KI|} zHIcu9Nu66Q&bodkNiTMh(~cJ1QeIP2gM<`iGdGx~30{$^sHix)W2{K;BS4Mm#9(s+ zf-p=ktvMFRj)wbB5;SY+u_O^5TU>m$4FBmhCVcv&Ue?ec)V`=~wlx{dr_phuPAwLx zyA07k*p!k)(nj~R!`L?(#FPX;_!#V~CMry2%{R~4Nqih2FaC?6KHEpTaN&Yicz8Gn zq4A@gqV-+khBWUsa{!6*n(#8-%E@cDc82TG>f`ekjR|~1T&7=ao_Qf;?r+l{o2CJL z=hbSK20DKkS^!t&bG|fF9Wz(gC71GH5zYEgy@lf^PViFeB^O8Bo#w1M-mdHq_0~z; zCS+y`TFiamz(;VGWC$*oLqkJ_`?ZJKXOR(&vG5W=3?G8=>tbj%j?*1?VnGM$Lfa7E zF~C(CfP+co-VhM#X|1*|CrY{F)i?8LO(&JD@-PuB+y7o}JB1?8Nbny-iw0mEklggd zAx5{~-tRb1$+s~F@FPd{1e3UOz4kJB#sjOjP%K*SgT8=92p}g-3^X39WLQu6@Q(Rs zT+mMlDjr5%n9TO_mqL|YFTYZrKlr;)My~xQ4bAE2I0}l9HRK{B5|%kNFDP!G`)FRF zhYTt>+1O5+nW?$Fm!|N!p^S9R?6SwT9+GDs?@)NOO(0JF4n>RN;^IQ*)0V$epzuBi z8eBeWXm~jH;ls5rn&W=Q%NaGhb}+6c!d>7F?qX{diJw;EJ^t5v-Cq{??}~h-hbi&2 zq|>cgc4}wO-Zd3`NmyWaF0i=x*oQ;LP05jvoLDw&c(u4N*Z(Qu65kbH5gVz42M;2X z5qeCr(bK0LiUug2#tm_P**Q5xbikqadjA~@k!SQYqDVlw0)q-mYjfnT%q6NFL^Z^Q zFU~^@;h@(h2dc!UTD~gsgQ1Gr4t#_rGv4K`YmCIUP0;kYm8+v;CL!j?Hjvz89A~<` z1t9a`<>+@s*b%qUB7K^dO1<9`wwL8$rygvI1f=(lO}bF9s@1ZL7wG$maeYiA;+<>H zp5q{G@_>KrRQ#ocLO5Q=pGTh7A^i^@+m{yY*xA`j%F3kahxI>fafZ6ngtDL8UGm|B zvc7)Um<`r~X!rE;+J~p+bQ5Cf(S);da^87)uGdGK1O!$e;pLS9@cThEz)=CEz_Y-L{>@PrvM9 z#G91fJwvk#+>Jyqj$Boo$W#9OVDP(2gS2L3AnAEA{0OIWmjtEzb~_R@mxM%{p6nS5 zi`Ph6T7A0N_6p&$ev0^alB}g=qO@O2Lxv45Ise#FeB~aY`5_=_9M}|6rxNo34vEx< zGU2N?GBQ$HQlb#88tZEV?i!4cGVo*JR*kq&a2xD}$M5=<5Birbar>>KxZT)aL-Bq3 zG>CvvJQI2dI5zno5vS?bSa@xgo%xlPbOn$DHCx+MI-Ty};SmDJc9u?FfqYtXGVoBJjjbQ>ZRf=i7*kvl)3m$|kH zti-0<&+Z$SJ8&!*7|W(jUc*x?tqCVJrD7IQ zuLOyQ2wg}}JpizEhbqOCKD%tvr>#r>QnEuzdPe=@dWyU%!?T9ca*_P5t;^DTe$MCQ zZ7HGTn>GxJ#3z-gXJ_U{G`(+ynHlD}#|3jKSx&A-h z2>Ac@BE_&}_Q*ATZ8=#Wh?kQZ$7i|&vIf$4q#;|Xp+phZ9}&R`Qd}8Yf#k=$apPV9 zMzGvQJ(WwiAk3&<9A5=EOR)Rh$mQ33e?Jt%QZU4j&7h+IdG{6Kub*Emm?;+z&p8PR3BtAgT^Ai_UR^PlXkLVKqTH6DsivTy z(3EB#AT3G&#<_D3p}rAPZvXwf-sQ_4lNPucc}Be7e6=*c(ffy69mmRr(2(WJ8LyT` z`iyF`|GLh=56RXTeJ3AbtFR3lH+J>+M?=;3lXPvPar~=TQk}N;7re9H2mOV`tH#1L zv6@0FSFY>@>`P0EfuaeazAD>c>@v*@nSLBPJK87ybT-5#7boXgt8X8OB$A9}K$|s0 z?lo>q3}rKFOw{YE4t+or{#(EQK5ryhT~pHqZ30kCc*kS<)&ZMReeV8U`OIBYvbXyg zg#cnE8YmXr z*ck$${+>UD`8YX?Gx)iIJ#zkv4FHkcpxaK60%)A8nUFbPuh=k!YBTbbCvU4obf3}E$LT*E)|dn*{Nua z^|fRqL7a#JW!=xsExq^jL-`-F+47(80df3YB9y$5_uC2IA&pX$6OxVb8Lx2|hGWLY zYvlSNofDpeW!9x$(F6=W*VfinA%dFU0OLh1(k`lFB*N22!rAeU2#(Q;U!kS*n$e;v zL2IAX8oS>-wwaj%Sbk#Y%B20Eshnp2F8}+}T`qp89=Z=K z41*W@ci@NQTNqf}KwP<~iH)WZz-=14dwV0%x$du1)8$RAARkc}E5Gar2geyY^QKK< zXrz)pDSI^+UI`3g-cRWkfyQ`s3Z<9A$#RMzpPp>lB^9fcp~%I>Rl!k^0r4;=dWd9o z`3?7(-8f`?LeP|zMR+I!bLu5E-p|s-i%0KqDpLHB0Ka{B5qxKtV?_EKc}tIoJ+UjC zAjPyIzZAA^#Ae7+ z&F%HaZJb?ZPY8Znb_QE7lt1gnqSaq;vAjRt4-#Nh`W(4kkNbPdmk}>joXRQ3?%c_P{0nQT>W~w+ode=u**F0>}aFn-M@do8clGmrXx_D zFJ8O|e+Bd3{uT%$L6XKw1XmCqrIMl|5k-mh#c?2^X#CS9cdp-lQ$z!+cI0c(gIKF@ zxd7Fdf>$~bQlZk`#z1vM{zDI}C+5(9mL71Yx)52a=|U1u+5UlJ(CGtR7H14{mKNuL z7`@pBTQZaq5)zPt{UzqV7hLRZd4BLxGE{A62$(ZNU^&13`m5t;3CBdOk{p#@U0u!0 z%p3wE7@^q+c<()X_9R1Tfj3Bzo(zMKO>gz7y!p`wsGy6r_3MM67fGXq!z=Y{MkCukK_k^Pa&9H_D3r;=|g+FE>ZG9EJCEElm3P7GUG1y@>y`Riz0S^!n=%5K}WZ4aSS#v#Kbm23*YFHEY2%^G!w$&kRKZAN?qF}PPIPp*XAH^%B-^9pgKh|zw}~0} z!Q)Z|8S-`R^p`az$WW^8yToH&zdq0pfz7JE7lqjdp+bY^R*yi9g{Z3u!vwE|B!ZZS zI`eqDnr-ji7*kXByk((bG3^7OC!8K{J5!Epw+^*tY2tuq4J;y?wDzGfdckL22_jH} z&tapBP_?5Kf=@%(O46F_?(9@Y$0+H>jT=0mJvIZMs+y7v+@<}nXbob}*smI6D7=Hw zLQgm zx_7kpuk5F6-dU#iDw%m+c9jYDZ z$AQ;$Y?q)tD8msJJ;aO`m^)FgN#u0mHE}xBobp&W|5TB(u*asb(x6(4ODBvv-m4Pk ze@kQa5g=yLP=d)qz;-~rOWy!s3h+D!Z_%JVjbxZV5&BX0cZh_%3ostmL03ybPXYQl zo)o$Uui0iH?oybe_c(9#WrO_C_wA)QU&SAVOP=)xS!L^i9z7i8)oOV{!@mma}!$S@lm`}7f`F8pGor-{mAI6plSD*gjh ztY|n%sVFX%2ZJO=3F6W!tEsLYA9h_L=T`}2gBksFoL>`U^jTm8HtNz``%w>o#rNy#-#(BEDH6V*$QYq|Q6`I2LgQgJSoaTh@>^<}NM+w1^?E>yG?#9Q&AdmSr z!_Oc!*g}4g2C`ue0T2L^7$?yr=mec38;TYKvCd$b)_{aC%VzHI_VtbV!M`jlEc{h| zwbbpdpV^z$%6F%rBN0#O^Q?T_3JW}l6z4hkb`uLTNP$P|r$X|YqoXmBcEu&qyePQC z6b<2@9s=>5Sj(iS)T{M0D3l=dKn7CI=g7)5yBrx`2LuEld45s+2AU2qEm{WOcnmf( z5`rD%G{^C(Gj*9ZCausx=^>EYNVA4XeEdn6tY1_}2%GraK+^pO51zG}@lPDY3Ik0& z`zcy~Tbl2d>;ead6N3x&9qtlG02jZx*4EYu(nNw|lW;(yqk?e)LC3AV28!&Kc##02 zepwH@KOxGtvFmF}{?61}O5}~x6M~X0E^(8JU@89Jl7fu$JC%J3A0%!0<#x{y+Q;hvX;&+Jq}w+&r9>%D&RS5*n)+p z3=9mSO&a1dEjn)0$Lq#J9WjPDx=qr>=}-0PN4JtQ0{w$%6#QA#HERSdH#&z{cioMZ zYe>_JS`7fevTIiy^m1}2h)WAaIt<-pqDIk)gN5`4MO^07(Ij6S&;B!#3D~~(c*OBi zlBW&R`THi_vbRlk{RM49cUn>aCTAmOj~?>()Fus0u0jO8X+?B9JfA$-O_e%(RvuZ@ zk0?!lNpAlCEV&_@6P8Ona>NRPHvd`l=;)nr450(!o%ye2x2KS^tk$es$NQ}cTOAlf z-UD`K$;IhliP@gu4U!G$HUklUYk7>)@TD8M{%G%abi9~h*Vy}y<}k69Cy7CLha*59 z$gxc6GpY~dBhh{*DByg9U2z+pqAd#TdcgMDL3ctGyN*GVGNpMDX&mqd9Zwy&Blza_ z?%mr37Jy*}k+T0tUNhK@H{%o{sX0CU2(S9Efz-uKIzD=>?09Y-zg=4X9e4>|CQg~>2adfIGFOFVlNn7!h`xzK z+we0|PY*7$$6?(jVjZ!HaYqFFXs~)KvFum=2$e;xUK;^$lxq~{&Eqy2?cjVe+W42N>_+{8DGr*7a^{ zOa?wBzn8620NGZ*31?7G@#3jgq5Y@aAhZy1%emWm` zch%Z0y8+Vk;L&rKL#huFKw(oxEJhoPa&z|^XRXdZkBKf~JBzxxn#s7g zIy7^vLUaPcU^E<_nP|EuwZZ!qscD|0f>863bj?K%JrtT;3A7$??kv-}?LubCm}Elt zB-*ac;f$!=P%Xx1;N0IUKGXS(T}05%&JGo!tf1g|otDA}4BM#~0vp4^Lk4?<%OvIo z4iV*_h%ZT|VBW^fsj=upDQ8&f5x2AC!uT^Q*P-|^(lCVtL1wL>4?V$P8G7V>mK7)> zC6$$O(CD7A?G&~=NzAY0df0O&da6zU$2wXDT+`bqF7yEH2 zTy+>tV51UiGSsZPQ0dLY7>Q#>wiq^)ad_T({OsCF(yl;hJfBagi`UhKkvf(z6X1a; z><8iRLYm^N2a=EYaBanLAGKJK~aX=%8G0+;bjn|Bk@Rm z#IL1}J)aLdisNQeW|2K2hCZG-j41F32?=p?ag{VS0HV?w8yhP`(8Ne45#i)K^5qnu zM#C(Ixp>QFm#%%oKAp#!iMCJXBeNo=MEq)YZ{kr8gwOip%p3QI57$B{HHH$-*NllOob){Umi=xfE!Z-2k@iuI zKL%cBGs1`8G7gR?(ym~=X)@Hu;>uHIzH$u}hd$%t9Na{z(7?^I1_l2xnSX>aBE%VJ5;j|1ZOV{Dfl4nGx^mm@5L9Ty7llphe6}XFooN_P*8%>a0eY#;zP-CoS?IzxkkmzZ528zW3d4~K0fBiOy!Vs zgD}D@&@S(DO$$0NjLT72qR12+GO`#Tfc>STZrwLKGE7O1yqcDHci2m_Y7l@Fmjy@6 zB(YU?bD!U|{DAygG_i>XfV3>gobw!PGb+f_pexdtlvabo2ANFdbE-M!I!G58YoF;I z(1L0ar5Ji2Col-FsIF$*@ewYB3AA0bCkysaK0HDD4+6tZaYtpKrTR7e*@2ioia>hm zYtPFIk=Q~ z(=kW~Mx&i2eO1ACLZqiS&CSgL7W&XbgAFK}(1E_7JG&I+<>eC|*?`$d0nZSF0oqE) z<8nB)*9jLPen_Ncz%FFnJL64sxxURkD$RGozHyp7( z!ps<0_8TJZ@!-5M#}$Zd#|6fSv}2JlxvXK+OO@KK-wA3G04&4T{|!To#ZFj+Q^z#Z zDU_MLlodyXEyzGE=Any~Bn&EcprOQ^?uQg;`04e9!iIyCbVdjAn*}I^;phUfH|6Tl zpp1LnS-s>;Nw*#OX$vK8{fbp<6%p-%tbdr|MQS?=oOTeXDF-OOo~bTA$W~I9>};CX&wW0 zcWMg39Rev9lSj9cOwsjpVaL8)P%W@K`2P zJu??V4HSWg;X}6_I<%5OWStrEz<1PEssspcBM9HUa5J0L~P!q_cG5?C8!V zTaJVw9G>B_Fbk(eCNf?;W}b?ho3lQ}uc0unl5<=3d0Tb*RWjo$stZ4cHk8(x`ibw~ zKdxXB3q;Y8rdRljM-yC!oI?+RJ+B|LK$-n6b-P>7k}o_wopvG zaqizQg==0(FCZt9%E))+^qDi<5LJ+>IKBEo#&061c_mKQKHx%YMI#K)l7T?Z70k?TaD#AEQo~#5`=-c@`ruY9v>Z5p=*B zLjYf73Z18O>nQB^FlW(~kB-pUXjjdXUr&G{q5G}d3vxmPx45W5EZm5MVU}Gy zdWl^;Q)6Q_N^;_%NO$|OYsk7P5Vw%)IAFv5^y!mRGYU)lVLb1Np;k@kJ+nxPq-jm! zkUsw5P-PF9M})LQrt->=Qp#K^Dk2z4P=X{85hNKv4~pcRM3g8&f=D=kmSRRFh=K&k8Ihb# zNRphCsFFcIa)y6ysyf_p$N%o@esA1yUyrV~3lHDsw!<$m-i#UADBnY;s}u)l1ek zCYBZgJVHEz2X-6V+FIF&@ba4f{R2Ff)<(R;fq@#h$SSMT8a5Ql27U6+vM7m26ADGe zjC%5z^0gNOEe`5iIu{p*8}v8IYn>HSFgiHGEhG5N+``Z9>8r~h@;@%{_P zBdc(Bws$1`eN0n0K zDfratvZF&ed+!&71P2F)@PvQPwC(kbkPAv^vdq`9u&@~U`BVPA`#M3}9{GW$^omBy z(x==^N3X^yDkz6S}zP$VJp~^!h!Lb(mwq9R77mhybdp*i^fIRkM6C45-f^KR_>ecrxzx7JAMtaMxcRlarwg*{+B zi%1wg*;6AYQTIy!J;RP2vHS)fn`@b@t*vc)tJ#E)9&M`~UGT>vn01!;IF8q;jn9o% zH2v@ww&_}TyYstaZpOQ}Z;!2CFEp8`^PbOk_`6hQMn-e(=<;wD``~2^_db7CSBa88 zrjun`^~VPBDEw=GUa2o{X-$pNA1l|D2=a)D>6Dk3JI?e*#+yHX{+vm`@IhZ~^xpmZ z_fJnx_kJ-7QZY1)DEl01bJ4)S05^F;SXkJk%umoWtk`RRtgQdx81Y3oj+9UrbWBo%;FBHMe!H zHqB+;5!d9_czrT4Zzd*2HJ;PR$jI);Xa0&d#!r5NXHre;Jn!GXubFBZ{&0s-A3~~H z$G+u~m@XoLjf#hVU7vma?Q;M2IjpE@TV8I-Q|{O%i)>lToZ*l8c}A|=@HS?~`%Axk z(YSv7dgCkoKkVAF?D}yNV_23>rfu7{?MM85_;6CGJ3H|G?G2?Dl8i?>iv7f#(hykO zSi;oHUlg0tEz^5vD}*Z%LW;8!12!xI`}dzpZ@KEf)A{Ey|1^`Dh-m%y?$%eYK21+g zcVD+7Lcpl}^MiPWQ1`5>12K3w8E(y#$9R-hry((_qO)^OW2)Ky4I4K2@apM~_cv6G zZ^)Q)NnDmLN=I3JJwHF6|Ju*<*pLQ@e|OgQ?4i8mLD!Bar`Fty2~U2*PmE^y9UT`#P3vOZgMxziUFNQ}V{-{&bq!A+j5rtI z*fME|*W}J>Q1p1u$IepU#4nbUgDui+d9?V#xu5ShJlr5LS6Nh4lrcEom7ZqTU%%b+ z0d{`NuWQ#H!ta|tK&Y{6rNvdnsBrmfwmNjPobbF-$YReZVEBnIBqU_5oSas%GCQB+*aKQ}k`;OEbu+U-Z} z2QSwq=*(tyKa+6HD+|hZ?W+#IuaN6#*WZupYP7u^O0xWkgshg0PsV%k(Y z%eJ`D{?jx5k8O*MEchaQL^-pBOLG@^b4i$j{IJ z(WXMo$eT;8-1y7u@G{{TwM2{BXr;m^`Ik5N9mkCK?%VfKJ>4Q;7gyZrWsX0;zI9JbOuW)p%i*6#n;GM8ZfUUz z7#c!$eDL`3Zznvz4Gfr%4Ky`86Eu4|JUf)%-8b9iZ^`8O04v(rXdmBSW@)ZQXDcb` zRwi)~)xqNQYxn9;pU#F}D7Yt$05e~{cw@zywbXiwIiq_LZT2dn({*7^dt5iS>(-iW znoS1<1lH}^6(mY$soTI+{5i?scIv=no2$@^fPjbizP84#EG*_ngoU?9M@QGEZQg&5 zasB%BhxOj)G#k4mAcI|*88b1Py|;zSdVYGr$gMTsHGfa>wb_Am^YY>R#rX<$y}X?9 z{*){2(kDDO?$}{gV~I?c*%*r#cKTp_oQ6S-J+d*DrK8xZA?K<CwW~bRDF&a4J_8 z?sAR$_WpLP<9Hvry=dXe#hlh1(dPIfPNj$kwb;x3nG3R3RDVNwq*CmCg#0f z_|n&wpO3d?9?^3^H%DDVL*sBa&*@yJ$utMvh3TDL;kvnwruA{p%O)kSUQH99?%0fk zL#vla#;W*aXJ-%Q&06>;8l68MT;j_c)bA9GG`D)qnq-sFpFbb7#;YeCN8NL%H<)l* zm*KM!l{E^Bjl6ssrMcndiQ8ky3OxV^3i9%g6%`e|A3xsRTSBMu?b|oaqzkv~Tsk9z zTw+jon||r}gMNc)MWEQo$jIw2zzh4SB3HiOESomN-5Kd1bt?DQ$9MktaR4dG!NH*y z_o6cnDl)uPx^k}wrVU$v&M_IquemPD-L6u~qigJ~PI)|3Uxc;CQFJ6qjTf=LN z_bqbu$20MTDT7pt7R@tH5Adhf4@;QkK52|mi8UOZG5sw^B!2>tTro-`c|JEx3!B;| z{+9O3bM;$JyosiNzjoizc)-u;=Vc65?=J1`8|2^Bys3^YpzqQc~hF>SkBrP4m75UxXfjcc$T`qwX<;-%COU5<|)tGNV#3PldVpg zxsIuhV?8g~&O9w@YtsV+Nu8)DE>=Ks5=1f+t?2IVHX0R4tXp~5qB#oBv4qSBTGZ3i z6BZFMU6`A`cmKWs?V;L6J#7Sw>6%szrpGU`QrJHtrdcG(!*tdFL zgQmsc-1MkJg0*#MLtVDLrPQfYX1&$njw8kUQ!f^8%FND=Rf;@UFOIm1(awBbCh_Y+ zd1+~Bmz{1K9S;u=!5j7QT9GQTsswIn=3Gk>vF!;)fzSjxipXzp)7lPjdi@^2DWIVs z!bf{ne11%cHu1&i-rc)T02l^yM$b*p%$N>;F90A3s87&|-KKl(t>Ia$ajMg#1<=y4 zyF`Kcm)Dm7KkBi4*#KJ1W^v!Ep71a@T~@-#R-$G}P~qNeBWONlIyCc$lA7c1uBPyswT;$6?n(p6N+d)u-!siC^Aav}V?8V*O6h zXR!lsuG4X%GRr>xQ4{$HrFd+(a92NYv9+yjN@lDRw_2jz;=+8r3FD$@gX{F60@oOg z(+5U9uoYj`j!D9)`f4I8LN@2OEpsyoBH}kW?E6v=>Rb&)gae}%rGw3mlF8l z4B-0Mx7)ioxwyF0ih6-wJa&r30Csmc$AU9F?(qEZ^!pPH4W>nq?P@ z{Thi7?3@;R91sw{YV*DhCVw9vpTtS*fSSxkKS8s7)cXDdca|28#TW~RKyUbxY*dFx z7o7yK*VNV3MF6I{-^9-D$3xdY<2R_yxMHy4mtQ_VaG3gbn}oX9#AgGNFB;R#W05tH zG3Btak`nBl#7JM_&7p+o*$*TuxBuLW$~cW=<;Zg^^FVp^E&$%EH*9D~F{v4A&~uFj z(3_cPvb6j9W*IfjUTr@*FZ_suo&EF)_q7VZ^tPzC1I?LAZO)^zf!8}@TC(k9_3~Y^ z@ZffUe?@3}PCeRL2LK#wQ0QUOm|{}TcWwN7Cbq>f0E{Py=)vqEaWna{QrBp1UZj&M z6#elJo8_VaDUc3*5zcWd)@+SJ>>VCDgN@Yr?c2*|&loeavapS~VB#G}@RjG@(_SkC3#6@K>lK|fK4*DKdD2BV_J*blXmmM3p< z!Kut&NKV%8P*vs26Kgs&6Ues`P$o7%Rx>g-_G#Sz4}hO_I}V=(-TFilBO@c{tC4i^^}cf5vg?d=A(KR#DI6LXrdYm4;u zW-!3V2wwlz-*0y0$Pq^D9X@2I^UlbqnKN?F_}*p=q&2NQdi1D2+dzVS?sW7(-@&V{ zdX}I07A#HDTzRB~3_h+61t1|eMmht7(XKM`1XTz>e-|#*I6kIB#^-VE&&>N-Sw9$m zex;wFNxzoyeDa~@RPEf>N8&R@GpRZA6HN~hcAZ}&&`l9c{cUj2LOa9io8F^EdqB6t zjp>$_8JU^eJv=<5k-Hy8MX|R7R~?>D$Wyb-n>Gv_U!Z--$yvzJsY^50I^j9o6Z%Lu zIRZOt2Lj$5nfqH`pXnis=FiuV%pW3BHD;9)bz6Gyb`z3Tty(3GX6PZON(>_b@1#v3 zAoz&YS2x-GrA|=fzCOb{rQa#?_kJ{{o=ICkublv*Cyg~4lN85s(|Fxn zO>CmvaNprZWFJs0;eldKF@WNYnKqGK*JGOoMcC<-;A3a$7%^Y&IWYJ`IbazK?7clHW62o>; zMllgIsb=+;<3F&zl{TqE1Nb0FaO(ke`Pxnj`>khmOLWv5-1a|FRW`wvH(tD8W;uHG zY(heUvnVHpBFTS|(Y-uSEEcO(R6aN}`D|6C&|A<*7QK;^V6SBENi0mAK*7$n*tL92 z_G@1sXK%^24`pTXcVh9^ZzRGaBTFkPD*T!fZc}KRwFA<=b#+O*fdym#I3m#U^!BfR zqrm=6=ImekwId96%P6Zq7CqT(H_}0+diwhMqC?XCuw@xVUSwnNb;a*MeKJ%kN8dr* z;P|t5==7`}lB2 zKOla}7t18|k>*yE7qcMb_>M*ilj^YJnc`R*21~Ggyl6fY6ch-Jc6G2hIzrZ;^T2_# zsB1;Zi%9de>6Uuyc8aRExi01s47*dzu?L;O>j_~%-m=4%t)k$xZr#4!#B4SYR2#qpoRP3S^v^Jq@M`K4Xzi0Q-gB|cngQ4L_H-M&YE_@xJ}5C;bb z_2tW#^@ou~Z@IezqVQMn6XY?^#&O`l55IY2=@ipCPCUbrhCD##Xl&msB*byxFhHe# zzf?m*LryWV7DKSQlD&lI>}ZHqiu4W$;I_21^uLP#0RZ5w;4dyNc9@Vmcdk5n5#@L{ zkfqqqH*|*w_DVmHM_%si?TrR_Viyt7EPS-90U%*SwEV-}&4L!q8FRXXN0xcKX>+ip zyTfP~$M3%%2Z?!j04ra=XjvV07x*s}q?*b14|hQpl-RxK=`r@_@9pg!86D-yA)#zl zxC1QW&gz74 zOKmGI=BPN2wBhEN_~Fxa9yGLQNqrtaK5t%%PUQIU8#n&=W0ZL_GxOydJ= zP!v}Hl!5MB)GS5S2JaS$7vP^m)B$f>wyyOlwwE{y+?LVRhDfaednr>BAzPDa(|yRe zayL~G_hQ#%o=%>~GYk-tla=+PW$yUXEZg1?^hqX#9xQ}-EW1)uQ;&OrFI)&AY4`R{$J3~u>~r^#dnA(-Lzdg3V3NkQ!ihDqy9cX>Czg#{I3_p8AY^;5rj* zL_iQ%g-8*$9SylkvLQ*zC59dXcuorzNCgiqc0UwIW%4B!$+{q+* z?bX492UpKE;>F0%`9x82uMJ<2l9Dn3QAvuq-(m9@px*$n02K>bX_pm1+zNt~rlB3_ zs|vkMQXl%b;t0LSa{;zUAcy#AZB`^WQu3d>pO{M^vOd__%FLm~l0N}k3 z##v$86TM@{j+uhjG%SC?K`kjRegX;^d2-dmonj(ti=+_&iqXup4o{5-N+YHI!i5X0 zI+=6p==2D3t2?p8~Y`dLG0l{D*;w$`SQgC;)g?^kbr;^GS%T7cxaj1$Z>K3 zBH`$p9Gsk*QkBws)dJz6%`ilui!`GjF>s22>PFJkMkp?y!8fi zqk9UFGy}l$_!VBUw)XV*_bF0-b=i}{taUl8XfM#b$2Rl1^PrmjhvP!{NB{mLDP8pl7 zPgSJ3!wc>si~P^&a|@{20SW7l)A1U~(j;|G3^YX&5fG{K-h&6;td}lc>_PRc0_|cq z^-~|W6y-EI7z4HqFOZeGY}qo<9A55gw}+rxI_EEBse18Z7Q5_=(^y5Zdwf(S`C6H zD_PhXunuEy>36Y%-9s=|iA^?#qB)0}Q0({uO}>=0bPQSopmL>a*D?%0J-cGVyA$7E zaQv<&eOA~77USl%alo{19&-8gFNv!K%l@~7*Z=-}^lzxc|ISS!&M6Feyy->^cB?X0 z@myp&yjamNUtgJdX*z^w8O1`ld8x$wXDRxB@5|V)EOP``9|OhiML@t7U!YFZU?%b7-lB)d8^K~(l1sFalo#0av^ zhj2?!db|51z(x>SszP-10jtToo2#HlG@u#YvU&4fdwctW!osEp&xLK47(NJXQTXNh zs{n)3Q&SAz>&P0g^05RPT)2<|u~rP)-z|j-K~Ng#EvffBJkrvTH#rU+QU*wM@SvVO ztE{Z-Evu!j{tS$qOW9~xczE%Jq@wrl-$&5EANcX<-v9$1;W9sCQX8dUZB;ZoQ2ObU zGBoaSJ4eTvd~FtzPgd6~n?X%91p?ErwbntAQiN&%y~VsSH#avG%PLyPx_^K77YUM! z7tj>fLUD`Cqs^9-m6bJ$U-r3}TLPPCP-S;PEMiw=j7o@;4|e=^ySr4g>H&IleDV-GyvMH{)Ft>FzRN)qB-`*r;mXEYiho< zkPS#19v-fdj;6ESP(OT zV$jwlnaEM8nO)5nA#XX4=Q9PmF3#J>>txq=4ch1e8F+&gfTkUbmCBqrDlClb!y)0j z0y|>UKD}i#5WmtLTH-VWsMT^3^U7aW=$wH>LrefSZ~j68t=fk#=<(xVXtbh*ztGcj z?b&k-_JFWdZgFv4TD0^yZ7!@|7Tbn7i&F+okN85edk`VQ<;RV!;T+6K31<~8I4W`b^QrK`6Wn|Gg+Gg zcR_0>0Z;T5yh=Nll*q_P(j`E?2SAoZPvRRJ8;hz9aKtV)R(T>u{^jwioQ>oy9gOIf zlo%=6E8;Y9Ibj0qZ|{>+J2@VQB!q*tBP5=#%k(8M@Mp8H4pjdm+oNwupZE(lAHuH+ znl~y3Igi{$WF}y*Q#}czj0&gix-cC{*j7^I(k_*5rK&|39Due&ggN*lbZO(ne^SD< z)VG)=L9~Ci{k)}RVte7EZofP$sCn2e>|9*2l4}mEtNt5uNpTI((_zeO4!lxRao69n zJZz7QoY)?!^=MSwp3rWFD^eNTMbZ!G)v{3}qtEY4>~z|mjXJ;GeGhyj6F)SNwzMWe z_LH{v;yFI7gG{b7y)gg_T2%ZOVmEJt%l(3PjfG^5#z$C!8{)P0zvrukut;ccM1MUE z1Qj74Rl;R_j&qP&&CY`lo;ZG-l?tI!5p51K-s*UE{7rDi!Fh#N6BCmeRBoG8tpi(0 z=0rYlzVj>jcJ7*GS?JOma%X?^^h6Py2dI zN$?Rq8vRV2nqD2aBuJfx=4Q%>r&C<88NQ8jFL%f4 zN4d>7f^KYjw3{>`KHOTWV9$vT z!%CGC9li+z7ZMmrpapk(DJ%fJkPXb{XU0JWrKR0=cP9ec3QcBwK)(4|AYCrnUdZd} zP(jkB8Q#IN(+4!qUHKg!aQpsojHL(RK-8Da#)^QWMw_FSUTBf6n+3`y91@pkG{Hmp ziwm=>*RSWvC?UUfp$M!n6^@9}_^!8FbpImr9>%_a9%%iVu5_Rsy2e zK=+1H6HZvE{=|G$2!KB5^xwRB^Db&BV;w%*ay`#^`Zci=kyr&T=7{rK`lixa7Go3y z?9jMZrc3WhtVZbw>Bz9Y+m3VKLz2TrGke~VZG&3h2>DQ9$d;f~``DmAfE<7I$6qz_t?e(gUu?nSf)CQzEk&+Zppw@usRmQq z*85WUFS1MWsw$uWT%*$9k(esG)Y7Yz%A*^DZiG_0)1hM{u6u59aPZHBgk;LV%&h%S zA4GX!r6PkXqXX;wdfsu_27FQQhf@313d*ah=Qi$IFvidN(GCp0)L4e{CGrwMc+Vd0BA9_jSI-#NpZKuT3v3<(SSjq zzG2Na9#WK`k47Q#xX{NCmEa}ADtwY*+w}TMXjUrVTjCQpZ`#DLbEgIEnbjM&WsS*3 za&Og0Ze-Yt4}k&8vif#od>s7?K7GSHkkF2|ta` z24@savh+ZQVq;@7`EX~WA52Z48V!>3k+eXJDqr6=C5N=9h_&tje;ORTn>N{E-!PC5 zZfbgVmbmKhPU>NqFiCFXTT6(ik@0aKXdlNvQw&?p64cx&Nq?k7y1_5zSUtd4#+Hgp! z9Bu;@goq9#`|db=xsr%;*;8EXm)l7q5bSpUhde|C)h_n@5%mgYC{=92)^T|z-A^U zPLRI9LfjRj|AE7OjG(yR_`l?E(+2Y!ujYzl$~7&WVPA3<6>2vYfR=5jj60q|J~i+h5Z-1`(4bUJ}1d3`2I|k`NY!W z$qMopc%Xg&^_0EO6VECyX~8ZD?YwV(vP}(!fpbCP+*HCi0ZM5G7tHGbXIum_0#V~X zf&T$6>Ja`|SlFF4pSUpDHuKM%M7P~Pa}sZD-4@VzLuM1pMRg*m4txU}mDmjc;MZh{ z$Nra;MQdX|wi$d7NxfcyfeBbkjahFj~j>0a&i;k+WB)WaN~K!2>}1`If#h+dgrp>)aLm-8o3yo~&pX+xC5U#4M}` z(?^w-Wo|g=T@%DZBm8N<@7>ErMOq|aTi2m;3vFS#n*b`vbFM1Uic$#q$F`Sx^B@(N zpuwAg+@0buYDh>0xgc@pk>7!)xQoV4+ys}~fHdG6JD&zuY}X096$I^yIE;i5vez zWkN9fyE1?H_>mK~4hU_~2m;={e=lh8@xk9Tj|jRHFE6FQ($_3UtR!JJSfN-ueo|Um zb7=Qs4Tv~7 zcW&;yE6;kegDucnV}lU{E8@D4!>Js#n<`?{^?+ECM>awqq^0U!wR zL`-}D#9B=#O`+hcxI{&@^XDi0Td%dRdzu2QAsKxUKo+YBoZ%BI#>G`SL%m7pD8T1M zCxW#k`GL#QE!%WK)7HRBW@$dVFgr9p)&3|J+1N7-E?5PW)B_ouSQfVn@BYFIVq#ku z8QI|$D`eRivoY=+1c4dYV-bkktkHn&K(u+Oa_~{F zNjQ$12xiRuwn1@ta?&?H-}P8MsjUo7LJYx+bE9%3^hK;Y?hxZbvLzDq3PrMT^32cI zSAusWWCt9`Wb;JBgeu}Z^=j>VB0a4Ml_ppI%s2m=K5`84Ud-dEfClSdUn(5~2xf=) zvV>}xmLBcBty?QL>CEI1FV))0suIDYoagKSn4^mV>v(@1=-cDq#Ry zdD;`{H4@=R&?va>ODjk;c{@fdw*{P7z!E_DK3VP4%M4cL*54l9kIoz!l341Dz@W!D z;#b@*lwrpsOsavcRT)$9BT7MFFJ-=jE3v0HGN>MX4xun0U^iXH-$|Mn0w9(L96jTS zO}_7b!3A@nwI`5u0K-HGwYJeYyp2at5@aARvy2qhbw!Os#rIn1sY>* zlEJ9}30GbCzaohZ6PThOj#>5xe-9BDbsfLm+BWt{pkm1>DlP2}yGbzi_cm!7?npA} zg5&B!;^czmG8Rx0rrhgjf2FR0G=Ia5AloTu>P;jBY=d6hHZbE=eaw+yt!l2Q{Ths{#CiCzDzRF@c14J8@L9S5vpj#h zRfK}88m0km-MZBarfvqcHWjJ=M$8&qhW+W;w(C#HEpp*1BuvfITOy!p_G0rlpygbh zMa1x6b$%Ls7Agu6Vn`Z;|F$>WS62~kQ~g>z5QX6=k~`S6rw24bpcO%eZTc~bSOYB= zx}59pX%U3Ce*@rj9WfLm%jlt!9xy|IxG4^}cS)Y9M!7t6{tbn|Yz$uzSepi8+GEm1 zQwltyk5+=Y(!_iZF_?hgAZvp-(#&(t#Olkd|GB56^M)kbU z**eeuywo{-1ns;gTA<4IM-mAL{H=zv_!7w^pP{3bq!=JIBDX~W>z2I`hBOnv`Kj^p z3vrs}#*G`TZEU=NwFvTj@ZdqeM<#G3tWXJ1) z^YrOHA))jgA}c9h7w3FlMMa%?Bg^MpUnuhYYG-rnL;@am6|S{o+qbU-EHYCd8)2KV^WbLG3N(P~XFEM|30?`! zCRjyO;xz^FN!?Lxa{n;v)wO~nMQru~XAy&RqLwANW^i=ohY>p7>lZmB^)4YD!wAAq z(qhzGGUBlK;^4O>3|(PXE(PoOa7o2tD^8E0wI!^ zgTNc5>pWcG8lMg46w-f<;N+ilbFbbbR7N+?$kTKwzP@UCs%w5-zh2eUG=?axfDly8 z?5pv}ybKHs-rdjMype>rn-erMT58V((XneCMH^Sp(`(HRd`UjVB4S&K9)GMaHnA&q zP$&CpaYKWU9*wL_7K4dfd7_&eg{Tz7Mv8$IqSC+Y}AI3)Nz;<>Dr78Dr>LJY%}Etdjzpwe2dn?MVygf5Ou&*|h`Q$XjL zN4(f%*vGhaEf$g?decS-m`JGb$@hIu3I!1kY?=TYoBE_47($R)4WO^$&5>17C(58$ zK;a-WN&O1|`X~3x1=fB?3$|PrM@KW`9RE`_OlSJ{92Yk?jViQKDB3E@LCWs_r51zT)r*U) z$B%YfJGUrYwxVak1OHbupm^{9&gkg>Grz{RPcrCVsSC2ZNb=W$rXd@I>=X;r6Cz&` z_z|+$jT?EQB$@n%tDgGTvVBpVC8iM9aAW~|>&uk-*fQT7ha^lelEM+}N z5Xbb;8&YH_w?lY#OH2&5!~)zKBbJC5$VzAlRoHt49Y!vq1hF+d15PUoII4E#$`w+R z!?=zK1J(lJssI(n)5JtYJKEd5x-+5dDZ?T}>`IdvX`VMFl|b zrO$Y{dtsKJ6&|(&4g3o{|IuNA%R{LrGBQWimN2k+xj` zZfd)p%43Ap0oxl-#vTddcxU6@xWeIyiE_IKKo>e0R>v^Bky$Qw<@-tSTZ7U(Tks48 z+D}@qBgNYWZWx}Yp|jR|S^u;83~w~h>XLh|*`|Wb+SXxvP6sXdF0g$46TmzS@&t{u zn@Ty-&qPNCR)g73Y>EVn44R<|dH!-^^6S^Iz4w}x>rCKB;b(lk{rpUAwu!K@b@~~w z5_A0KeP`uSbpT7rnwxccfEj_UrPEhxl zH>R`SAD$F!l4t+BLPxwsTkM1hMGmzgS^RbfhN3buG5|@!pFhu0{k{HA>)V=tFA@Js zQ}_SRq|SfSGxD!yTstxu3T<+v8E6I$F(9MBS?*5G1bb=_LChU1Cx~qELggl9h_CJdOC%$jCiLelkD8)?hN&oCyt62{I}x744WB zOuy)SVn7m=qH{nNs^=%T0NW8Lyji<27E@+WYgTtJCl7GJ`_9oym?lVub2p-5Ldpm9 z8?x%t?q?8lh%C8e1cp|LD3)EaS7^X$Mt}qyR(uV4pgMt~)X+7h!?^6+;)p%s6BuZb zjLQexvTt05tSa2#z3MLqnhg&s)@!gZUi}G4>FJY#g`ZF!NZe;~4fOZNVupsO#$f2Z zVCWmn>gPerKk7G*wKU2y-MsTZEUJSj=Jw(K%qhFt65rmGrxUjG= zi}RxjrbtC-Gbzr_&Lhm-?d_q&AT20Z*TrLtq!?(>>bgk7h9_uwQPUo&1>iNpY|tLG zvX@s){!YSTu*p4HX$(yolbrKr`Cq@D569pa2S+iJ6^@>Wg->I}iWQy0`{0Dbu!szd zKCpC!adDY2!!1Uva5RB~2U9RZCHvwCzn28;=0&k}Sdfsf#h^WC6SVt|3ci$%yO{F+@6XBWrF7oJzu{X;RdjT8 z+^B{Z;FhCZW};@(H2xa~VlZqh%x&>OkXZ&8f=c`{Y$02|e9>`zDqtUMxf~T3{c~zm z=^Jhg%{S~X=xvr_m4B|VzWoP2aDj^}kBH^M9`jxYGG^1%QV414NdhEFEm0TMh~RG=JCXqN*|x!3bnFv< z!q!l7Gz%sp8;G*Bg-g{KL>{5_SbH(83?}a}sgJ}=g{nm+hGAhlgkFRUj63XX;#<3p z`G`Cy@;Wf)b!c$v5_GhPHy87&DHjS>o3#<59V`JkXN6NWE((1R=ia^VvljafB@c z9;Fw9%3AZFNmoo+goeSrBJ~44vZU#^;!uweA4L%ruoi$g2!|NP4kiOEQx-C>%{(XO z>Z^#{P1-JE>%kYH_9ypl1}BZaf=mGsX$!mqG4`PGFh$kl#NiUqn!-@FwzNvou|FXL z7nMJAy z_?t1D00hI@8AK|X2Oz#Zm=oC13Ehs#Ycb%qT4a)_4)C|AHXPC^M)0H=E_m>Z{cEjm4*~n@+vu503aYf6>iR!qVn>z ziD-ZlasrLI9=tu5cDeVSoi#enbOA>Ji~}2J7$K~ysRH` zNGVztGTqKfxI%;|nNVOg!4&CCr>`Cf8K@AkprMHv2OwY`afk9o#a&;0D33{KO8?_D zOFAGa@h{@Wlhabon^ci?8*!RRYCOiQ4%@#5kza?o?|w53D3A<5Cf-Ix357t;`8ai| zP0l&pnD`batAY+!5hS0kTo&Xm{eT+gPgPIH5of8vwj#Q-OsQ&hZb=x-I{+&4fWm*O{ zVj#v87_8xPlmlroZz&aea<3#^!J9haLbYzz#TIg2$^7hOKg4cjB=Rl5VK8)b%zg&f zPgHSY7lEk4`TOthvJz1xh{R8{8*IqWmw{(jT%}>U1E1(a>Qe^lW99$mdS}2;U-h(h~Ielex$IeRbZgb zdqe|JD=92Ig@>t+Y)`z0BUx}~wYg6A#6EjCLeW)tAlThj6s{ANFjb5^^@ z(J@42A4G{7BClgFs=yZIYujn$jeSc7=AnpE(e~GDmJ@x6DPeVF=M`7u!JW#;$*F-@ zOED;1Pb6`25)t7hkW@GT{L#b^F>8FhL9ZW3c=fNpvcDP)?La0jxQXEu7>%q`n=poh z={3T7z$Z@{`P}I)|7r0AoJ5B`Mvl$!&#v%PhCW7y>q!Nq+aMYYN`uUGlJV%|t(0^R z?BgOdM=%r1qfVzlvM77Te*z=sucmLi;0?mmw-tOf@n?=qPO9O`P%9#EcuuEZp=Di+ z53w#IR0ykp+my#y3nVuaS*qG6NC9-557`+|@%u0-LIO|_7Qf}W^^lXu2`XTwBONbx=nxCzWV1r3R_wta{DOC)vS zBR?B9xOv_`T1m0G&v?Wtm^c&B_m*NcQTA(r$n4Nwm<8p_ee1!*APivUHV;4o#zHnC zvrw$SW2fNuQbu|2{Qf-z1+Nb@X3_+fIu|ApWaM}v7GO#dynJJ>Q##g#7eEB5lLLJi zaM3G|Cg{PWgyS$h0>y~thtj-yxMi8!9MZrW?u(G#W)Me2j3Oo-0!5I$9vijYx$`Rx z%oN_ht27$U$0CM~!Td!RYBgLOsaD^PV``TOaxlqx6ZxBl@%F=oOi+=@L4qVxVf=$^ zID}Rzj-(<6J5+xhkK)Zbk0CGcO$8V*?_(MLuY zVBy|2HM^W*NO*sXJrI{*d&wP7#W_1@?4KCvfgK={Y*JE^XBhDZ;qVhY{9{%!L$&I?5oQb`pdnz2ROGON2^w6K<^$lY z*jE5#BmxwRsLi4vV-x1?5Vt^;A;%S<`e2O~yeVW{DG8)RoGWFv59e@rTOc`y z2^N)TGS35}B?%|uAS9R_;b8OLj!se^ZG$AoPrx5C^3BA5;pR@-m;#A%#L*0XJdR2= z7ilnwV^-joAbuJ!MMmcKc6N2JKjOGSX|i#UJCty069}CHLPA3882NTrv=dUBjPDR3 zwk}RXiHs}Y@W2EdZ$qsnb1%3MIhlvN4q}K0(9pmTwIAxXYt~i@`>#unPpmdrnx0$R zbmf6Q0CHHtErBDe73usgjo|44CRM>IkTWs-Y2d6M<46LGc0_?gBU7iQtvQ*Pmzy@* zS%JtVZYLOSh|`Y@wQLam=>}-OpGqv0dGixmxj)~nA*BQiEjjzhj4DQ9=lpZ{n9#rM k9O}1-@8U#jZY@9y8@clzBuMl6~-V*=Oyw=9+V^drR@G%-U7kS5YXG zwQ{m2l_`{^;S|b}-E_$Pf)wH8f=ncq!f5eDKn^Gw9 z*W^x~P`wh|-|Tcn)o6ZUq0U>CPR{GkjXT)`Dk5bCt7TX3x!il@#oT8)q_Iy3JG(1X4^0J5Lq>;xOu8S8gFW*~U;!x&bG+-Ax zlW%NQk$<$ispJBq4;yZTLOK1tt!D}CcTy|ZHk03+-!8#PetmVsTaoVSessOF^E5ghWSgZ|o|DeKC?Z*G+%FPS2$K zq*rWqNK*5_7Jl>E&j$Q%zu#?rBIcf3?CTlb$Tl@zT3jsI`RSp`$&=nK?i0Gt#61g- z``V5DRKqdr@yDys6L_|xZ*ey@*|vuL&3Wp)`9s$(eF=`ex^%^-ckiSY zrt6BBbVJyC8#2sYX8N{eHteYgpZ=9rK3XZm+B;UKuipDLih-FqQ7gmD zw7(%kz&+G+-dQ)#@eCUqn={M8&zkt{;vV_UCkEU7#A_eymig6CqL)(>7$mgZYvy5m z#A*s<^O;Q?X9JRxliS+bI=Z`!)3^^Esyrms{I061Dxf|1sIA0PLF?M#&eAc@g$Yls zY@6`s5fLMzA@T9?I=XfX`uTV6$cKoBzPoU!KQCK5{#;^pfveNg%mUYmIKvWOm#)Xg z_B|DB%a$#ZquyrN|Kh^C+YDx+>Pb3Ew>IwS=;}HbQ<4*u|M?K5Df#H8RTP`QCMU0m zj#fx&E{S1($gN%5Re(_V{`z``%@2v17$wP&kPx%#m11qbwUDL6_m7)$m1N59b8OR0o z^z`SIBNhliD)3Rv2IfAz=H ze&-zhp#fKk-Me;;_Gh*Jtd3Qwl|OIYI`XJWG`whb_)f0VVA9tpdGhgym)bbBc#G-C z=xFoV$=|D1ulA3Qj{X$D6%oj-y>IW{t`_~%>weZHC-+uG@8{x@<1_w}o@wl)(BsQ| zZ1c8lT%Mku&d$!Umpea^rya9f_UE6n)c1a@)^kl+-TBt7g~Q|H=iJ=#Sv+TLA0E(D zR#H-`wRCFPwQE=EFQ@KD6LH*mLWK@}fi2G6%xZ~RYAh@)tJbcqX`LSz zY|geVexYw-5+m$1kbpamGp%|tJUXiSaGzTG`PbKe71>ZY&(Ch!PI<+Ky_9ZLx`p|u z&2fjH)j7rsYj+5k{BC=H)NLPnRvx)eA3i8{e|g5RV@G_5sH@qxmj7?gEeZJNIK+;y^Kj&)@{q*8{-R?RwwHZ(XKQ(#Qwm~3bZ)fjvXhf~vR=Uv*Kvz? z@7~4A`R~=7=Fxb0JT^9V`w^4-N%}=eo^yTrW{sJN%!>#%%D6qzo5YGm*>#;6B#Cz5)AuPD`J!)RG*(*IX6+XpoU$VVNrkBp|AGLS5^bl zuaR=wkJ^Mi5wMI42-w{JEk!cVv0wS-I_6xqG8{`0RWb3?`SPmbDN$aLShX;V## zp$uN1Np+0U@W@EjM}LkCx2el=%Eym;k>?81_t0$4b*QRR5a*VQQ%??YxT~FI#dY|w zGPibSHA#s=CCm85on!m0mabS=Jv%j0gY9;YNl3Xd)3Pd3&fk7=$RJT8<;{!1-|Z!d ztp=fD?xVfYp>YTjvTs;idcsBOR#K)eP$=Ii;oeCW zaH%=Crg##&Z>`+>bknL-ru}?;RbAPYm6f#sm-S+9RzS_*spHD}iU`T6d zJjzJ)n45l&<88|ae^_PpX{TP4^L59*vkus&_G#K-oej8`2Loq?_86AF_+@9}sFuGxlTq$cS(_ zQ&gwtT6X_pf^J@I!yZ8y4j@x#G2 zIO()*uKfc8#$1~p*TxvOZHw*bxQId^PfbUVPR-1if4I-4>FeKUlz>E68;Ydv@ViY) zE&kjY4-b#plzx&|AMRH_>nAoHGd3yeGFtIm>Q2Ce2M?k=5$S5-63hB#UYvOvrY9U6aR*@}PC$lyq-z@08e=Qr@EA?n2)up^fc+jECO5aPRo=fEsCCG*|ng zz_GuA^Mkw(;#Pb#iw-5!Ki_=Dl)LKtMnw zYEisZbFRzWSX~Bo+g!gRSx)m?4?1kvTgNk^A!l-0tT%%4sOuegwvZY(-mh+E=n)t)X z$%)_e>&Y`ujwp@&tf@)X7w6VYeVfE^fsc=Gj~vN`HPH&87Bd}=;<|ckwjDl+$Eg|m zQOv-?!lSRR4`ej#`%@uKcZsp3ATInVaws30&7|ozeB9oPftJxW3&uQwr_VXiP zFEw^MGMY8#W?*5*YSi_6Z?bw+aD=)&C-u{=>vQF+t4l|8C0$%{eOW}G^v%89az{!& zh^MADQF{zn#=PtaKdEmo&OVDv)XwU1DetpHfx2wV_02OaOXI-dHM`|q9gPb|_#E{* z(r?>1I{b0`#BPARf&Hjgf$V$O*}tV5I|+4HM#!k;U$O1m_Z-WsDlP5PkYyd(cPQ>$ zVw`1TCYPvabCQhZ0o`0x_vz6}6z)XJx@3KIWo6}%lI$u105UB!aWDHzGdoLz%#oFz z@EQA-8NI?g7D}u(^UGiUXrEe~EVZerX<$lMUKtpStS!*1f~lz~SpZ;P z3?|8;XDrSg8$^dc>_#DYUO3sdT1raFwDP$WYRCByaXYSHO2-?EvuQogT8{wy6&DD8J`#1=8ADnvzoI>S>Q zEEJJkIDLxwm}9ya>+oaakjhk}(o~U+lGHDu;?{Fh-MBLHRd@bqvj_ehnZG{oe&z& zL){CUa+&;bbI(VY*~a+ht_jwS1A#$Pv052%9#frLpAMQ1wiF=0`j=^pSC3D&`^i&Z zD1=&7iCH!rk^4&WeqA@k>&@H8iWDzN6292*YFSpzs%e+bH0L|35a8PO?hcT)S%Ke3 zCiV*F;lp3MHgJDsEmzF%FPLbl%5~_gPSE5l7<#ihPB$-;M>jVT=()Fq)w4QEK8Rfo zFt!#o>&S(-be64!y1?0Aku67orhh(E*Q>-%eP~(s?3h!naj5%VY?+!QU2W}5i%LK7 z`Iy5-pT5masV8bhRadKuPIdU#TX}XoklDO`eHdOqoQxk!?Ksk0tWjy8%T#BOL;L%+ zXF|nvjXnib?y$}`a9ZnRj*7j7S1)11Zs{1H8G`bHcyv?ykD1pV00>bA2&q}kn;(W~ z>_LPyq#E5J1(PfrbzXzQfmd>GJ3oof43t@JL_D(c7nL*O3$tki4c)!FMmPV864K9C zyrz!6zIcZH=Qs}@JXqr1T^^cDFFvaXFrrcur}ps4lQ=w+hM1UGZADjSXB2uFb3nd0 zy@K3RK|G0A+m7Cp6ZIcUXGaHH^{ZZ-Q9(gizJ@XE?c0-OkNIQ(&hKM~CCvSbB~|!m zRWvG2&u--9*fUQB2vqFCCno9UX>BcB;x%)vxVCc{WwU9#da}Uu#Go}^Qq|D-xIj~L z^F6HDHc6i~hrT>JW?ZFCJ!Dd`vwfsoT=31CH*3%ZM4Y(3yk2ZcCl=&=*oo_Rk<*LI z%F5{0tT}?4Hg-enBrunxS74SuR;w+I1}||ASl#MvNl7Eq#Fr97okF+zp1S1FAA^I| zS6p3ppccO8Et;i9mxMMYB3=0ay4&J3rkT3_wX~l6Zn7)ihNSJo-q$XX>U#2y0i!ffdu5)J_3ncQE6Anx zsm7eQA84xA$hD8nC~sYucZvWG_X!OR{n6QJL{{MuL6UxLIaU4BRz=7_cLA#-5D4#q zTkgGm`}V+0)7)Qy2;yx8E@Oug85gfyxx$DT;|H*}7>QvmK6tn6so)L-#$l|cWmmpJ zsF*aGvD8G~Xqog5PyxjU#TI7mB9M@L^78V21HSG6DExT%l2wM0UR5+0ee;vW+)exy?8C$D$4x3_;c zqg?`7_4c*v*Aus~33@AbH1^BexVyP6vKYhmPgz!PqVX92RsI6!|IZO1|7R}nzNT{7 z_t)LWKB^Df+cV%Ej<+yY`b5ZcekBb!erV*(|CxLHXL{(r^A5P*5I#s;TwErIys|Jl zTN64_&-r{kk0~Q`^m3%tU9*P3Q~}F|jt{Aq9|k?)-g4($l1^{-uCxtcW6*pb%Uy$W zDN@1lyXohF$a-+iC*XbJRAZknLcMdqy7m_}sgWoypPHLR0a z?K?@Y^S}K(dqC2t$;$pknnUc9KEV3`_Gco_%D_FY7vLxknBu+yC8#ltNZPt6&z7Ndx!cj~sD2IjJI|qKSrRtQCQ6af%W;#tf%H zy}m=%gA?_}p^#*G^j2KV$LIca5DJPzd5w_00UE;f^ZwmZXR z%&fmDM+HoUDjIbA-miQ5JbwTFt(9{*s&J}nhxn*N>qJ872wQ5U)DmAiu$zKMC0M{*3Zu1{#OP$f0HL9qp}h>CdQ3owM-Ydxi>9 zZH$45DcDk+gvWQ;V-zf)b zLFN4Uu(5*Cl0DftR`L4swW`T_qLxkBN?=jzsC(qAK~~ql=RwPBHf-3-T&_^(OL$r{^YGaqIiQ zCCT;GC94lAMNgkKuaj$UN_e`P^sIsGgk2r!DoYFbI0`I;y?mID&!O$@ z%03T-2T%1AumTnmy=b8y1_r($_^a9x|N5?^M0@6jk53%Zf9(Xgi&Ljh2e8jg_a&cF zP*BHhbNS}^)#EcDA;^gqDIFU%AzR8@pardh@YXoax)2-Pzo13gllK%Bx?P5Fz7-rbdeziFN*ok0O5vR6miR=xSW{mG$+&mr?_} zuP+TGpNYDjLnEpA6WwKbRSNEBm!P2FQ&$Cle}9M39;K%q0|NujaVyD#uJSLI=)oG) zWLj#w&rfxe{dYF_XgFFali`k!gnwX{1DD_eC_9Sn(u;nPwsSmY`YlSH9yGXi!O+kF z6zN!hqx$^({LhArc=p~h!PaU7KL3@W^ZoT{G9|vuRmdI>jSQY&i_x5JAFluQO@rJe zdipQ6`Dilsi-_m|#MA(ThJoQX!&`UhOUz0Krz}#V3gTw0w@N0tXg(LsBjFm%UU~g- z+155ibD1FWnE2eNKki3RH{0fQQu$i)T+7~t$F~cZ*PbSsOe@QZKvt8_j}E!~xUuz! zUDs*zA_eg|Rdf%^hy#-5=H>=H%N_G4T3i(nkt+CG`|)3z?r7g@(}K}XS7FiZv3LmG zQ){;$sX(u$R_Hb*5$g;Lc>C5ZC7=*OJGNgzj%;?cXGB!dzPGA9WL zj|-2BHsajOcz?}vsnyucrPGXzy?*yShCAfI)Yfzrs*P7@D{G2Qkw*cG`=}E7 z{rWDkPtQqv7N;0~jkM0-=QcOk0&4@$@4rXwa4sLfiLcyW|K$<3yTZNKQ9$by!HzG1@#srd)H$O-_EGwTuojM7x)KJnKU@;k4QUH=UU2nYNJLa6qi zJxhkZ%dOc0r|7+se|G$HOLxI#`)}^qx75cmFQIJt5 zz~fuVUjj_J5)TMXfS-TqEB;@4(J{guv>+fOHU>n}_PApsjV{B{}b2}j|0^0(vsp#mP% zmXNqM){U%h{_9(c@a2xbGRhho8>?O1+}+QJh6Du#<>%+07TrrO+;pzvi}&*7%eC|Y z7HQHfs8MAQBLuaA68%|BFaFsfAL>L;N(qZU@E~$iG=UOZd2~LcEI{ep52A!yCtFdu zw$v8-*%A95#R5nV`+y~uEM1xw{OruBQ(sAG1(d-~1>bZI%Fx600K%T~dOxA8RE_)J{)#4&g=y5`mnKPp-sX!oM=Q?oUG(<#I3yTDzEfDOC z%0ghz&6_vb3FaffH;_j+4o|EE4!E{2xhM&5Ppjm^Em3!lGfyHRA9ZUTBX`>2vwnI( zC+D&h@bdP9=e_i<{8(l_1BUi;zO@~wCe$_E%!vo@fwCkC<@xZ@qZn{HM1Pw|h{AFT z3|_x>E#T236VXdxLGa;*Ro$RsZu|KKvEO4nBteuc@MkYj_WQ`fqWYzY28z0aAxi`l z*JzE7jO09ebTTA#1-T!q-QM%!z);jk!bpLrO{+hbppn8f0iNp)>ANo0Z`r*0;#>}h zAbd=a*xaZJzg3e4*$r9)g-o?HtX1XmIV@~vqJEKBsYlk}7!#VM5Z3`AcL?-a1uhwQ zFHrw>fmq=#6&oKN8yb2U;!caP*`4@!;tK%nFotF8aw+P1wq3v?1{@3Np^}n>JRgFi zuK}~nuwg?uR7=yY&yS~)(hw!WuHy+hy1JkwpBNSqMF3#H1zdSeygDy&Jmt^U--nf^&5E^-YOTmq3o4-Q65pgA(*DK}V%K_G`I=2;DAp`C_42 zy2b$_I92C5n4{5Azyhh4hd{Wm=0f*)78|UJfK*UtYEXJSr%LrlzZv=&<%QiBb*J_J zJ2k*#{i+X#e3zxd`90uzgfxIakM@Ycj^ZoYzP<4PZyrAmAHS zBXj>MwyjxdC!hhjxw&2LH=hs<=Qtazh#qKFzU*+;wN7E%Fz*8(X>L}Hj&WT_BIi@OFFMhUp(%xRAaJ}n&q-VT6O9Voc?>5(+y6-#g!(jN zqZEyR$Bzjm+?!FSr-JOVIzpOUz{~&TG4H~efjlUYFF@Fl1`nG%9&v=0HKzq=|4j@H zm40U*o(rz1idN`DIO17U(ED!QvgKSw#t*R)JK{?k+Sx7?zN{pq+dH>wVkZm^&?FuX z=h2c~7~LloI_5(cyop8PA*YfA-p_}OLF|WBkq2ovGV)P{uDQT9>uXh2qB!kc-e+}Q z6;6|5jL8v{Uj`FDv#}EDW@cuA!T&BfDF7+y>L&!S`LGEJ^gZD(z0C;-K=B|N(B#287u^km}FGko3@X$V@ z$AX0&!1$_B-(BEJcrxTAi`xK!LG}0VLpgY$)>d z^mXs6i8t2IARq0uYqtU$F@e@}|&J|_M^(HM?H?v{K5jd7+T>j?=oP;a+cfO#WCwbW3U^qKNQYKe2m%s4l+0Rd|1SPJ@}w ztuacw<&>diuz!Shj;>!Ajs71&i+N%1;_lf0_m^|LFl3X9VDZ6paB`3t3wHV}X2e)= z1_=c)4TlWh$6!YyBRz#krKjkyxHl9-cuESYPMG_3HNG zl5IsL^JNv+BjTVRi)cV_FcCI;;7$s>bLS3TraIjo+VThAXlAnq1fPcF%YV5;HYYb1 zRw%vc4u6Fsj=wZ4A+R4bTg+W60ZB-f0R)vJ+%wYE9yy}N5<}(7n#IVu-OQE_6n08h z_C7mty%G4s&c(xX7Mj2^ZDz7CuVPW)@*MhJfQOR%iikLJ=`$nf(OA&y@FaL%-Ac9= z#fHUmS}2?dys$H&sJsB;->j;8g)$UOYc8qo^{)nG(wn$J=RgAVbYvuF9p7+2dVMY! zPNJHl8K^==yWBs6$JrulKn|dE`$w1B>gwnah6%36b38mktaWdNoOov|@29#tLHRsCKR;-h|ENa(SU2#%q(@3i2h7wW&dB@E zX&3#%r4ZlVV*2*44ckSoyo9wNIn%Q76cyYbX=k8g7lidKzV;1yk|r?W(&X*nqe_GM zBfjheCnNuyBlSK1IJuzL$V)~agAS)|vO`KsmT7KcS)au!8?QtaVb&!ip3TCc z=OfHnES&#@%AO{7d$;5|$cxWUMu759YTPzXBtR`KEsw>#vU!7}zOO5ABjJ}xU?PQ7 zgTp0VzopB_ z$n-%vQ3rVbrz#rtuij?=ZEgC5#`>M`U!tSW8PAwGZ2~UBWn$o2)LgRXTs$uKixRsnu4!!Anr$0_J68KUa`JD6m;jH33xu2uyY91#H47-;>?3s#@j#=KF{;{1 zF67nttB|Am-5zTW1qgtL4<8;@+sv}2i6(w___|7@rQ#+oUAk1bnijyDEgf4Ih0)_4 zokHGL^{G;=ZX@^3G{P66nseER>{s5x$>&zkR=zJ=d@nK~l0B&1_VAGQ%>W6Sqdu9n z78XbYLW8u{LKCv@pOBnAIvc_tjLpG(2a%u89pSJYAQbvmI5E}SP-Z80{z?d-POs2S z6JRB+uobYK#r4;rzL~vep7eZv%=eF6hNA+}B%$csXD3D&REShD4pk~7y-rxJhZq*` zQW|%O_9O|kZZ9fMZBJzc@lAoy{*>$9TIe2!1rFb=86b7?q{-yakJ<^C@L`a537HUw z4fnv7JLA9VRlaACB=i@LBl4j4nd|Z$M-l8Of{}1EI=i~Y!v!bM7<52$m$mia z65f|FJ=L-PUGRHWZCStmew4nWB{^{@?8C_8ibkNdv_BQ)2%}W?Sm|2{ocxfc1d@Lh zcIWYy%ykCoSEm}uJG;2Vp~_F=KGAoiU+z5hbk1XLOkH%kCt{yoel~Gr!(k~)#dtz8 zn0vT{>s^*RVkDuy_6o8_RAl7e#UaO=icR7OrRofGbp~EN9pc87VRerLJ+r^D(7IqO zP!AqCB7KlX7P*ulGB9>J=u?7_b`jLuDz`);3eSO=$1@pwSh`OYsTqg3ed?a!HO3%5FWAlwZ0K%GI^=XNN@&TN-Yz1SX>A7yzDk}S)y?f&>l|6Azs>J%DmO2m6lY4dA?cKt0Du6Q_ zMjeKRNhh)5nhPniR7iEJ`>&7#?lbe0xO)*%50$DCPR9gGTU%R4zjpK{ckkZ4c7P_> zq)O4bdl8`xT#6cO%<0yxFn*=W!6KR&xv*eitmp0Hvk&PG5+!lJ!qTIqv4=bgXB%BO z{Y%2TV4si~5gw{P4cfB)Z}q`|-ce;MU}Xa?y&cIEyb5_0|v8D%rGbo!5;jl=i& z7F&sb*NE5uZOdCBu@Q_cuyJ?1HAY?FCJpHmL#GRl=AWH857@yA>*4R^}O*;fjmKtM3ON@)%3<}Ace9{ zhK`#Zj#8e0!Yt&{uIw^+hwA#tKYi!a@qK!aC_2o-s@D0xeTbj()vM#cpI>t4a=JrE zvt%(Yr=Sp2R8$1E=sa`#7kLXbF_LIdK4QLzkkObmvGjGCh{^+N1nM`4e* zpU9;MHHb9%gvk3BF0jkNkunYc1X#FB{Y7Yl3D*g>x%6-?kS!5(&OADJLdKV=lJLcl z=(}BJJ?BS4L_I*m9x-*H$s12tqF_RGl(hqE`lVMsVjsEDPV*+%Kk9Bo*)2r64%gm!yZ>b%N z_nGF*x_NUX9IPC4p!2!{EHPzJzI zHa3ZdQnQ6s%qHWXl# zL@uF#5V`3WKW-!v&r}>AS~iGCx9{CkBW(?EFTrh8f)mWMo6}8I3f~j@$}7L^a+5gQ zzI~@K)1`c46+<;3I@1hcH+{ zitll5lpuFk)P=YJYP6 zbC4z9GOQPAAksyxjusJQVuEj>?a4FWTB~ zBM;9)3I4Y{#s4#-$++@=AfWm;VS&2LR<9L728`55%oeUtCtcgC2N>FD{F_@D3fLaG z*RNl%OCr?8tGS(kmZ&{B<80o$T2V&0<&f(}MHj+;ybhpJ366gzWG9VA+m~m>4KE=_ zkIyM1hQ7~sjP%V08~Ls+Rx~q<`xM0MSzZV)^wT?~tXZ39rl-X!JPmBDan|P)e;mzf z_iOf%VfXu4VR7R}?fD^(E*R{>r~fNs#RF@!1GjyB10gp@$e&;{_{V7_OvePf>ZTap z31u=mYf3IQ;Q+NClgn8^fri(sxdl=w!WXpoAHRGMCI#ppw( zxxmMgv01Pp!j8Wloe4!21J`{DPeL4zUVkhNK>2EmK7JMrS0w(6L3!Axotcp9*dK>I z{B1M`W5h5DM8Zk<0V%&+WaKVw=%AbUJV}RztUpTgW=(5x5W z*}BVnm;T@8Ksbek;Rx(kM$RJBeyAlfK|UhcmpgBhZWY{(QJy;~)Q1dxAUa2&ZpXsE zaQp7vY83uN_vg=_6H?;c+qXSWtqUtjdyUFbnc(N8WAW`J1oO3DQLP!!SwcP_IxQx( zQ^uX4P}3%~z@-qcpU1+S6LBom_7l<<3t>Ofb;hzKUlZhAUB2@OVQFRD*qfrzgSiYA zOr(R5A)~Rln;J6Q2L18W1&?QPaQ)6BLB2UhC6Oj(ohT#wO0b zjTHaF^3R`-z*cgP;E&o&fVX1&OrplE#Uup$w%e$83Csw^tJ(o8^CYIZPscMm`@^pw zdsx8Y+j++KtRuZJX&%7rTtheBpbxttnr$*9>eT9PoSmJ`Xj~qWG5%Q8HS7H){aJYr_!BmM57 zuBX=9K{#L{P-(&a4qy1oMi7jI%|esd($Lk`_8b-obA0x?gf+{4VBmw;3Cd=tr>6;P zS3A{=0ifC0Sz_%q55=LS5a_@}@D*I@-~q!%RR!@Y_Z1=hFeJo^uLSzHDwI!)u51MF zKJ}#F3DB%gljW(ViK71gvp!S`g7@$k>6`j3^u`TklExMH324AKf#h$`)Cu78f z6T1q`YT(;h;XCNoV{O~tyNuVq9h>)7YZmE=C}BfuV7wsK{G2+v zFX3SH8Zh>Y+M5AcikMP&2w2$IYjRQuxAD@Tc=M)ByP^Hb1YMUHf)f(^) zqk%#=W)7Dq7ULCkYrnQjdblb{bxnBgAJB@%!w`vxKpP;gVg^@7^0AwE* z*T)wN&33`fp;sFlzh8m#7q;Oi+xg9~M0;Za`0#ZV^Y3PbuR=!Icj%B3B&`72mp$la z7!)rj=5tWVh!!ThUl$QPSx5|?H4rM6d?oOBWKD(Y<2wYr)O(z+6`WC1)6yv-HIyO5xQ?o&U^qEGRww2wdX(IXVBrb0F%sXtMY@!ijOi z+grA6g8Lju8AQ^Dp`oFJ#6`y>Z2#d3zAj`f=1rceHP|d*42d6&jpeVFg2ww7Pd^nX z`v!}EEmVi%gKOH6{Q0m{cQKgx=^OmizpGUgwgGwzVBYN#a|GxgX=JdwNRQig2wELM z^xZ{D6#BXQ$2w@dsbs)DLBFU)R#x_9A(>q3ANeZJyA5LfVa#C@%U&@ZJ-r|nHL=ke zWeCQjlAdoV5h-}g_L;#VL5x=1#Q@5&w%tE?@Fr+k4d3kXhTIG0**S|Zq%aau%z*K8 zGGDHpgHG{zUsijRz$0Kjt!YQXURDYGUfkN+Dtr3$ku_M&3M+7k2X$Df?yEMEShs`D)+GYq0Sh~ei|n6ZNTVx zV22nKw+PtGe1I7$lXQ=@e|WH4z)%Nsq&?_ofAsfTPEJlTqVDm5#%3NewaNO`b&h%n zt(SQy`iX7H`NOx#40Obm-)++HaoM)5WH@td}@leT@1 zU3EfkFoH{?Z=#JH0=&Nm-Fq>ufODbH=+K&Co6kZT1QZ=tDi-};$(L}x`4S=;&nD>; z1Hu6fdOQr)iIhZ_?Mn&yxpAM=c?%-3@8qZwl9I&B z)i;k;7hmde(ZIu=;w)ZqOedqN_%a-P&49lME2w%G0%Y0AtPBtp=@-!nVu*KVuiy6_jEs{U zVhoh;Cuj)vc36JXJv)2@$FdbGw3o)PlWAZwqz@CSZV3!nA!Rebq@c|k_?JV>AqHg5 zYuN1(1nXg>CRt*`Rgek_QwvNhRvQviG5;iM=9>K=W8%6hNhHrZyV@AZCir6g+ z5!D8G*LNR#h`5eIYKRAFClm-^uLbjND4}HB24m6T!0DW5b1;~lnHNY@QiK9pATz|u r36Im5bMWc@+rUBb|2D(-)B=S=xvFJ>&Ga?d(B;Klg1ft0a0?zFSP1SO+=9CYPYA&+KnTG-xLXMB?(Xie!@E`cZ|mEC zTLnek``Gk!_vv$b=Hau7k}MiB5i$eyaO z!NS$u*x4NN&e+w_*1^^GqX~tZxwFeh2YYTdKDO5^6jrXTjxK`i>~{a>1U3g}OZL;u zOl@!zBu6=I7YGEy_~jSsmsr6^2t-2mt<)QJkMzSucMqJ&C4`e>+p_+jSkNIfAw)WI zJ9z=>g&nwXIGCzO(p^c+Ubtn*OiXJ<*(TR;aId7Lzr=>d%F7BOA(4(HEYi$d4ByN4 z$;E!GoK%@*&r#N+m3c*|}VW2>w?1Dp*Xfh$lH~L?+YXf#$Vsq zB(3tJpKlL4R8M1LslskV;xe~6>D8BwjHp~3FO#S7Ih3Be8Twv+csS|A!2NzaUxxwC zmi6=VTZ}4&>mkr6)%%>6M?-)LZ^c98x;KHu-h6=-85z0Pv0A1_C9a(*s3Uu$=|5{zMTe|2c@o$)S>*VAsq!^O@Z=5yQG<^Un&YD|H>B9U3M zlD*|7h}EDexx1%_3vy79<@bBstwx76jmumeLHt5a*Mz3Z~~*S@am zbiJ1w!otb}Q*7EBd(aa@{AuoLuEqvDWZt2*zQn-cTYCDx zR6d6xU`qeXujs>xB(M9C9v&&_Af)`|c14pqM*&HJV(E%(N%EeWLLF{-oL!+|$#O$4Vf= zUsmtO%V|#UE8C{$r~8QL=&m2qQR#7viGSfsdhP2vR~^N3RK)YuUhmj^=p8RRo)pd) zIZ~Ml5_Vh>uipfty}iAy=ueCH-JdEU)@^jNtN#R1ze(jX zNA^DL#%J~|E`F`8jl#vw9w&0zgQm#>=Q!#DmpK&T|xOvaS#%2Kp1yu~( z$M)PIb}=G}3Yl;9_phHb^f~QD-d{4%ofU07-@lsL`1vkPOHB=HeAiX6Y`Q8W1omn( z$?*I97T>Z@XTzuc9xx6RWMq>Bx_2g;rFx8YO4?C7U`A|jPF59*CM!=)9IuwVk3l*J z`91LOFSm+~Tk)_^QT^z!nXn}1(wGa1j)^I`;A~tR5_H{Z;~_#D7#=QjHRS9`p0qXx z@oLG*$*EYVUfI?rK2_&nSZg=WyX{?U>(A8#!bcFM4UgU6-;&?G-HXdOjrydcbK__g~l!SD`eFg3Sf48 zMh03B0T(y-=~3fxhZ)xgD*+b$2Ao`(n2x-+2}U(K6&8a;3*N`gGv&rGVHo7-5UqM= z+MmiybbV^jI%RWsX=oj zA-4qu6%{l{yUwa%(Ww3DGSmLAv~0`6nIhitNlD@KnI6zw+M8m(L8O@8o^8H7(d%;W z!@4gB_K?{s%k>QRrS>Mz^N|)`Z;0blBft{HG+wldiVBabSxaLM0>_QMSGKd2aM<)p zuBGQAk{CJO*GC?QHPepgTkl@X0w24-P|F%|5Tuv&o(qSe5r+Z%Xgcj7zBwCU=d_t( zv8vG#zFu%i=J|-#6H6L}A@+coK(8!wywv;(7x%-luNG;cdL$Ay-OBBDRxcQMy4bVO zV3rtpS@TuuIk&2oRzxrY#@fkhCjpNYrp3SHK%41OV_-6vHS_#=trj1Fe-_+iAk`QW z@A3mi?K-tUWFRR6?8R=M;rYKa*B!} zSy|+nes>@HHl2MgMrGyRzHJ}M5E`wr9CqFpd%9UiL_}-@*Mby9WznvLt+E*G04bwi zB-s450DF#9uO{r9JgshpiFD{?R8-V}uS1QFc5f`{YycF@Usm^CfxaX|zm$(PI&Mb` z_0Ibu=l{4BnG!1%lGy5f3>Ch!7(-@2#^{wMq@@i&$}3EJ1(R~%S><~4vV#8&4_kUQ zXI>u6CIEMR^DZuiGX*!dvSQeusW7eo#A`d#1}Vok@My0GhtBtk$^?@(H#a$JbO!lj zO>L%%o!G=&wiH9}_Ny=miyGki2}}Vxm_la8@)a@$jutfa8(fV$!!gRvKIvs_Guw;; zO!;7?U2pvc+9*!!>5ofF=c*AnZiyTkWNvQG*<-yFRQ#K_hsn>NCz`Mm2N_O5LBWNs z(e03EeE*V#k+HwN_~6=pr7dt%r`BcbpRrnDwO*9oFR9TeeT&&j^O+W3p<0LK*bhY- zIsVU2$)di3EdczS_X{Vjx1Z0?&Qw%X0=l}SNJM>R4qun(H{yN%{25HYxSLz;xed7O ziYFO(nDeb(?kFN;WdD+Fn$f$synMv&wZn1?sZ8#xVc~Pd(DU~sy-*NzGU14S{}lhF z3sfx#0wZL>mE}(BJ;?JJqP`91&+x%ecJsBN8b#eVr|TI5pn{+6(?c~M@is3`zlamoMx1CPcy5WneDkAnU8)f6j zHU&S@DJBQ}`NRJ&^)(8$Omu)m4g_L5Qw~+ubcPII0XeFBP4D@Nys|M}%%7|`j@Pt$>?peM0s^%oS{X2>3+Oe@Q2!vF~&9z=>HoO(shD!z#h4kg|_9^oDzsoTm9v??R zt|Q+sE-#aNdU_5WgTSx>2nF@ai@fDxOo2eei)XI-V{j~~kjc(Sj>kzm!f3tAHc_k6 zEMssgsP&uB$PjP>3>N-W62em2U zd%&W#uFu$zfaGL?q= zBO?+hf9~*kLUH0G=m>0je^l5WhBJf^vM-p(SB}5WWr*$nMYprj(Up@!1UDJV6wzI+ z;I0HI13@y2_xIkcD0ejx&vS;MF= zo^sQxT(`#h!)nt)FS);7j``}IFDjWZfmbsbz;mL17B2O@e|6xHkdP43(7MCP{j`pF zy0-??obE0@CN;NzQqA(!!p+=%Ax7zV(!m_fm20pnsJOA}98{fsm#(sa)JiX zLD72g)Z^V{k+az6m|r^afD!kka9cvYWhUu>i66=mi?hu1?75XB74_j?^4e!bB^AU0 z)lbU8g6=!3ZWsuw?N#fPn;VaZhx1{N{gOINGP2lTzZfnKX0cCCPay%@ncnEv%l={; z&H^&AB)booOGkwTnH|8NoF-j}iW!2q;4}s%rVc~@$50TBc!Y$6Lpc(Oo?9uFFXfg+ zryBA8`ndOx(|Wc>QHA9&S+PzH^5J}4?{=2I!I8jtfpV|d^R03;F&}y`JX!~+8Reh$ zr;y9WYiu;-^3`6hhl7JtVM-+6FoH-(N}d8{YsS<4K0E-#F0%M;dCtUyy3h0D zwVZ-N=i~Kq94Kz}f4ALtMxYoO86)E2WQ~j{UZ5A)RjVf}Kf7%L0EmFg3^7lQ@u>Cr zNwC>6Q9hJax7O(IH^!aWDtcarrRW%9K9i*;&morzz>fa_cfK&EpmqKi8Uz^kuZwhB zJ8SRFM9p&Fd$)`IX$%n1A&PXJvgE$7QQbkH!sjX-%a#kze?B5hL_1e4R4)e5cMyyr z%D@L3$k`)$f51J}@X6+Y!@468QV43WJuTBgg)D0fzVaAfJt^0P*m-Ex@W`P1&JzyG`~_UwedKnl!Oc=xWPx>i~AHbh!hmK(s7abF*Z1nn$Q-(;N<3!uA- zK>;`@Dr;f7ekf~wN(EjKKv33vt@5B$8n#>wxK~Gf>fJ%-#>R$o7FvcH-Gsa!PJ6Wh60Gx=js>o{|K1fp zrF)lJj&JBw(b0BOT+G62zrg=<)JjWS9FoRq3NPfeCKYPe@H>Wc8m2oOm9WEAkQ7k! zVo*xH)O_F_#Muif5iWCZ4<5QS%^dzh(;O1zLYRTt}Di&y{t{gVP5iqt+qr^ucD z-K>CYjLiFE6GW%F%3<0JV){?3wFb6=#dJ#%qDgt8R>>HYA%Dc7w9#VMnKHQ3{>Yk{ z(R^poUfbnDEL0C3ih8{JauBxQBQV_cL4@7e+W{$$C%BAFoR$kba{eEgy!T zAL3k`-5hv7?Wu2UZ}Vvd7`FP6g1Df0$rg}Q|1w494~^YGRgvGurtc!Yu|?scriKAf zadSCsSOG-d1Nb{rX^wJteH_6T#l+~a079Po3v8l4zWC`@+8@;5WZz~G|^x#0mzlJfB2p97rfKkWh(arX57 zD?Gfg&)D>Wy@!bco@X>N(F9OpVq!a&UNm%cRG_uSj|W*ZB`-DqtXv zw`b-r8X530Q0rb82p1RE?~-k$FJHcBHMla;DQBYk`#%#MP6L_Qbi0){ble+F2ve_z zp3n~q`QyBa%pWUhZT_52fG23pUjxXeem+I0&{6X7;X_s&`A3>OU5Wu0 zEl|qnKw)nR0MdCi&7p;{F2>OB7S3`wv-|3BzQVW@9+EGqY~Xim{(`NbJpcpj-~bc0 z?ee13fF=U+a|e0t69@R(V^!y}CNi)$wxNOKW4jH_n}H+PdcEVq7^#g&}iwSrGTnT=l zVPK4T)4qKFu3;{6^up$IM#bSK#uj(H~Fx7hKVJbn{Ug1Xvg|=|?&K(}7*9q`mNB}58MnEjSWMBp8Y>Ae7rL3PSwdQ@`mmX%d6!2av(7mR>0LmY~La|3f7j}`=gnrNBBGy8Dw4LSpVJWi>${-p$i(z#mN zc+{~_??SxMjJcKoMMyvpK`9w#1ZENNmft5Hc1QBn?#BifyWTs^6Xyna!y^H0+QuF+#xifMowD53}E=Wke7bTOElN0gzGvoD# z@!0Qo@_>B++7JdNijtNV4xoY6a*GJ4Wf36Az6-rm!3PkR3_4nXfQQm5d|z3Q6LWjN z8S-sA0Sf6G8Q!^Y+)D$c@wlZEh>RCP`4Y`LKxxF(jRRyO5%$0YEVdhX=j0_p+5%xF zMcIMV!Jv*??%4pD4!GQ(UI(o#wz?tUG8NEz0OEuk0fVdy+_A!WQ~rhWitpamfjn40 zn62s?8VVb<_z!7FNTNq`Wlcd=$|);@c^2XT6jra^Ip0kP$+1@a9UXRMWu@cAj%vE# zr{90KL3kJeF&^J=Yzpbd!cmy(b!?1=^Fk2vUc?AN@L&^w(C zh>nfzS?vrT1#LOu+l_>snF?xnG@_6fBqH}Yc@tB|ZQ6qxO)7+Uz35Kvb#?GLJ)Pu5 z0?%!ShJ+Y(N8)NVy0L+AQLYNZ3E);gK!5@P7^KeBo%-5l@5RJb zEjw?PBO{PtnVB!7`j3gIIW!#2e`WbCA|;!OIF>{N zil`?m@2N0?sS&CXgaF3T#v(+BUXJ13pkwp`DeqKO9II}X6jj)Cg)seDaAw(f2Vx&e zC8^)@-D!nlRlZXVTD;@&vH9CN#U>;rBse7K+aDx2n!?vh?M984-P~<{`-ZX^CS_X$ ze><*^X%oK$1S>-K@uN2lLZt=gwEdMVG@C%Ct&xCw`+LL4KRjnJP&a3${Ee0&I)@f% z04^%8P@G94j9~#@P*UosIw_ z=siZO3a!O4m|?3raH6_Zc%3q__9N3!kf>nFPAkcH0KjC&-mY+_=Vov z|4mE)jD@xvwSlhgXyJSM8Czc4#Rl9skt?m3V_a=~jiQ=2_8PkHff;Nzv}dRmMfqc1 ze#=z|Z()u)s!$BVvRcJj3~mK}E_h?`9?S$Q>8~%SDeTy}OJ2hZSda;9VLfDOL&ro* z7U>!j=4*;m=9gc*7WIbinWj6GS5^+6Jrd6h?F~UFFgg%1E#IjL-5Fzo{;V&g(GX{# z^Uw+utIOzXQK(VQlGB4AO-x+u;KMXNjRsLuR8rkA)6RzD^a1!QdGYBT#O-VUgZZdF z2x(+g6x25|6NjhW-mwOD3ktoWwwLK5?}VomoFRwt?pa?U_kR{H)oY08eI(Q4!ggamuqD4=SY{&BX;_a}tiZRH(dt~zTLPhX9^BNKm0IxOqVP2zD+Rc=TBqNb zGhxN)vBR;zli2nzX(`2fICeSS?TBRRp&H51r?FJ#esI;X&5WlV6H{wA;ykTXgS-x z0rD^H9JUybxn=nd#qaT)Bhwpn_dYccO&XHB!RO)5m9PFlI?m|p{;oi$$Nc+2rbkNH z=L~ZmpYG7>{xQzT?OUv@-a|XR6+T&zZ=)NP`3eOjKqj|4?bu(vNb(WmdsFBd6}C*w zWB9-)FM2xDNy{t<#BaHgn6%MVS}uWZrqvr?r_L@MT$|(G+QnqJou&Lh3={r+$;J7| zg`I*nhk0yVZM4BoNUzxk$vv(f;ZVp88d4n{S?ct7WU@*ayOr$3(;JPMh?5bdzC(~5 zB6E~*h^BhppY=es-f*R?`dJ$J#Egv8Kg_hXskE}DzCiajlhLdI3Ijwf-CI~iJ+ z`rSec$YKygG#g|{U;kfdh+>)miUNLfn5sLi=_xac<6hbNYd;J$%7K6D(?!xA$7XCT zttt`G5;m90R6(l=P>i*28|4qsHg^M)6zb zuIG&YPD25UGIDnL-=JDDhP`bhi4IKYSGBF7UjEzZRkWV{ewsh8AfJk#21m8To*I}5C2 zsa`|BW{N#g6f>U~MDMLxE&e@`7aKfjH`i|413=+5;9BiW@Vr^K;4Bt~%U8KI6Nm1| zsNO$kZ)sb_E{OloL0v2jtCVqrQn)=twLO)mf4#s575L_j$4-mWjp;F&-e0-i7JZ@9 z<$4##L+eAj!@H;bvXd_A@skc4hiqL546~&_f&Ym4RJ2r7HqY;9=+?pXQrEiRTYVCg z11-pdd5mTM#}6+h=)B{-vPtii-Jfq?V%GtETQ1FrC|s@I=&`64IGL|8@p0tB_jbS$ z66%X^#lWXhi83}HQH9MgD>IfKzl$4Y@zj`K+ z(y=50LH9?E7y#BgLXeULTpYC9Ni_=jSIU zU8f9OM6d9cP#@LqB+JSc^Yjhbo>AQzNzb?b^)v}oWeoHxdtoYwx-DAoPqM!f9?o?) z`Rbyb)n)eL#yfSFrwYNQ;NB*GvA})JGVy|I$>%r0oc^O}lVYR6@*ZJ}(^03}gIE_< zKV;%mUTToQ)W2s3Lz2B(qPp(+*4i@>YTWqdp9V@6OoJ)fp3t^t;MvVZ+T1f;z_ zdYvCo;tz9$>-M||lCkyG=iN%}3_2j{rt~x?i6%I1l!qq$I5h67U4t~c7VdQT* zgOwwf;O5d`PMld1hDyGR4BXFrZ<(uCC5%NI;EUoH)L{~%=UA75pvM%F57BYPJY}-F zAte30>pp?Fk~&tSbB4RSUlA8PBJ_t_$ja1sRc?n)!$JGvkd&t>m~yy-I&O%Y7d7zk zeZpYiF&n|DsTXCW9S=+2_#SDzd7!GBJ02(Ks*hOLa1g}|nMZTt;NfX_xkNP>)u9(u z4GPD^*@*L25embwU{1w2DsSta_NNG^|E=+8z{%1$mb5KYM-FaZA>sZtY9+<#N=ZQh z(JV6v)ng0SDUnf9LiflFS1KsF_LKu8ruxzM66GT#y4`}8nqCM+lf?QY{bXoAafWcp zkY`Oj6Hbz|nG+;F1Z6ByVhSzX3Wj_OeKLztZfGgD^;@$ajiEo1v(Z$B2DifbUnZjVsD zH?0t7>icf`p#iSQQInfB&y`jw*U?7&>)*{(&xd5yh&0-!0tHH{5q0X$9XSzHdBF{P zE1Y<=1CLn3`Lbkj(yv_^>T2knx_egqDloYLwiM_+C+CS&Bt!Op0yjf0P(M%$=)rt$ z8?NwTM(%@GF>yE2Z+MlY=qmc1r)f)v@aXed@b{lSjzY+Cd;?4s>+>j~4CP~-uRjXI zhr+Jw-cqYbZ__S*h8~L_kLae3R-Cp!3&QubMn{ziGYJ-b5T~mrk~7aK>#G z)|wAX`Kwb~gq+A6;ji-^QU;1eqwN~1gVz6gLr@S$$Q|GK4_T{0I$!EiRq?6uVNFH; zWNDGfu6vr0Z|F?;o%yYq5>VQ*(VVu;dLg+2II&&cHQWpwOlr!V0ecb9mFNVfGp_w1 ztvgE0QV<53{aARV$*;kj#lswG{8;V$2@c(1QFQ#jSk-M@WlwchNKwTs2%Jg-=ya$$ zoSBB9(c2=v3kuR}qu|89?&1zR9!L42A*b1kX)Ksx3DpbLNzFiG6Nz476Tlhv4*wla ztkj9phEDnJ*SG5L^LS{G`-o~g^d0J}B=H)Cj?v(YG1W8{QI3ywtCWHxYna z%~eYzAG)&t7E%>o3ac0kTnXg~L_Oscz$05OAZ{N&$#Q0(aHzWX;^c~U6%D)jsX#~U zS1*zAwJtZHiMFOK($`g4c5NNqGR=uM%d2)kMI5@X?&N0o$LP2@<{B=57S)15R#EbJ zUfJE(Q#^5~l=&<^yQD=sJ~VJNwfel2RUuD0Sk8?$-EId>GMaNYuHu>fRU^KnNKUK6 z|FH7zZb}|~cqyXn&}|zf@DH%n5@YaVICOlk5eF<`ocD3DBM)6;L*svcJ3%F8yR(<< zpockg&4jZ&_q`tpj8AQ_s$8|Ibx=~;c7f71b1@=bM2U;nxjnRgh3tExGQSP&yl;*z zZzYF8S!3eFVSCvg7OD)lQK*OV?vJz_X+G|pV^8l9`7Srq$1T#E+uz5Ja5P;Rel2RS zD91v4E~hC03*ODiUL{C{^a+cr?_v6UsVH0qh0$-V*hwgl+-T;biM!pDlSUbQObiYT z%kbKXkNg|0Joq*YTlI`R%e=`uvQviFwlVNmAC86M{nweQq2BDobD;)5U$UrswaVA^ z&fCshJ=yR#UR!P$)FUP;#U*F<6A0dW-h_q-Of$3fb>8u1cBkm;wmV_DHrc?+2-jfB z$Dl*v-4C%^JfArAM0`mG=iGa4l9DJXggb5@aI5I4j4xopxp`^Vh_9%^#+C~|mpqE- z%LlI~_tEzaGE|$q)5$3qfIyPZD%)>b!{rwgg@T8lE-{49PBBIZpij@kqcFvsp(S$X zDW30ei@iUwrPdw=yp2lIY!Iocz%&#UL0dfbguI(~m3nI|>gRPXz>(Qo%9a3LviLws z$F4mY;2nlIdZXbNarNG#AsU``Ptq2_)ZjI94jTo*-3r}M*?40uWw|HKkF|RWmY*VI z9xiZm^cZhcq8O_8zC=*Q4R-G8&$rDpi>0gXKAxN)EdMxP;Y9o#{YGjVHu`RO|Bu%l z!C9Fh6vWJcKiuWsuX_gnJH?Op!c^;C#v9{ht2a}h82&XtLHgvy;_Ru9Bps!gyW$$i zQ+BtZAhbQuw%*ULqrEIt*AFPD7+UpNgZkz**UcVnGd3cVQO`PZ`N==vG^T^EY*^j}ua48tK1V>^>C zSKDm-B;u)31p8^zRptV*u%+*Q~Sc4bi)6oIrQCm`t?Io4n1aS=}V zL2+!EK|_u*t02I%)1CLrstLISon(kNSN7N3cs>uJYAuBwdKirMl2EJSQq6$eqYHk+^0|0uFN-uC zOV%gyZ$zYIH_OA6i33H8WDZrvm)zrD+#ivDHb0kCT_Qs6vQ?6us|Ly(>T>fqFz&KP z{6`h6a1v+}eMhIc!u#t&&5Ci{he)GxK)e zKOMO%%SJ(!nfD9+%gUD)ePg@T9RGJS`Qb{wFY&i^-3Po_fh4w-RgBiqDNL=S(}!ql_&bS6uArofWLh#wY(QArSN>sNNDKswI0Emxy!xz=@0$ zOaA!XX0)$&nEK*#q^SO0rx*jPjw|5VBX(WBn}UY_=%}9@wwlWmaZDFb6pR?TI+A^{ zdk)eZ7kGJgN-CP2&Zc7^@|~vx1qG{ng}HwmRuPPZkA0M8>pOsNti~-NE&k@{Y+3x# z(YgLck3TF&Jo`j&(T@pDwXXlRaz6BHW~c>epk)9idnLurp(=!^e4@|vtNQ{BT{%K9IlAJv+-gQJ_0JG*G% z=`eLwTx!O=iLv`E{~BV)h3X)XrTSL?`t29EiBQ@>fq+4VYqjnW`rHjytk7V&l5jv% zXZh7g*!lZi!@0hpw94X{skdE;E-1HH5<7kRM)_ifS4@^hR-Llc?-0uy=H6&~$~8fJ z#@~T!fZB`}3gc)s^HCtZDuU$0#?@jt3fR7jkopwi%QY>rDi;yHp-u9mF(dmI^ce=b z=(St~`^nb%^C!yGfF`qQ%6WydRLU+*J=V%~>o0@j=6_&}1`WL>mXZ9a9#B&n47CTi<~n-6oVP9QHjOFK#q^=AwI~P`(AszdhJ{x7kejcrxgW~UEm62A z*i&rF5q)kTlr2AIh8&w`j&`~Bq~f98hEIneDx`{s-y?ESaKrkHC1DzV)1dgbtlbW0 z_GK_o4@KYmT}1o>LxuOHnO7+y8wGpR3bcoW&nO%enFR_v#XHb-L>$G1dOAX8qX_+z zfJE8$8tTdng^7Z-2_}Ws_2~;Hx-lx5yvXXWS^MTUep-c|= z$M#BNJRMW5J`MU#A5TeqY@#$ILV~P@VlfUZxH@5uHRHhI#CLrBjxC{=i)RLtjYmVd z7H|1#Xp$!gQEsoDPD)sj7r_=f<&`)l6k{Hp0A-$+#BBzilsF#JiA-7u=5)xIDs@Bv z50b~4lZ2eK1R)DsL_prlT}*KLj(NaX^F~t+C*H2}O1nn9i};lc=e(}>1~w1VQj$94 zkA?)R+%+Rs-w;j6gd!3cRWN6miS-*SDkfL-v3DNuD#BP)Y!;b;oW~e%p)>8;4Vug={;0PJ^9Oa9sZRd=7R+f7!A42jMZ!WXqK|SPsJJ z&|+L8Q{56)P7)_d=-OZJy@yewTNT!a{z&ugU4157AP*gK-`#sTMhahPapTwm1&Wx6 z1bGpCiJB%cibA+uZXVCs|IV_0GnJJNJw`8=4D*!)SuP8(c7HA;guim9QRPHXjf>;v z@jX)EGe>Vq^x;9KVfT+pT~A;g|PE!%(zO!umk z9&Qa761&6toRw9e@aq-$G8J0w0!Kjm<(X7Kq@2C?c<$FzbJtmdFU@WP50U9o6>o^k z(!(_WDi~QgLL1f+rW0?!QGh9xk{6qbt15m+1TOm_Y3qc-HTH58y<)L1ODF!v&%s=D zB11{m|9voF6dVg(Z`-}hEd3z^`$bs35LTXOk6PZima5J63QXiHCqYtvD7|nrL>daH zy?(r+@3a$d)@?$ZJ41jdzs z+0Zqzts>4#Vf`jDD$}dnH&#)clqaAKnk!n+S}N53>%J)t*kLazqAy*7$VBmoqeigP zV5`b8GZ@ehWQrX1*RXJuEv!zij^B9VAqGdgSP{fh+GiplM$EVZGyGvg2;v2iL5B3a_<%;@u$hf|Cm?!?Is3K!>TfjVC#u+-(Cc9}!`K!gZ`+XM%CRfS3=$&&K4NbH192OvUo zNw9~L#}MJ83V=Ic(?CJRzqZ)|gL-$;PqoV51y=-~R~U$?%c-IUHdn||$Gh*W>|!lQ zoIoK#^n*UcBi*ZqD@X8*(}sx#u2URO4UT{K6UqRsMxBr?qOZMv*|9@cFZyQcCt6-$ zU?y89tJJG_2qyWDD=!3|}2pa_3{$w~QcA#!11-O#0Sk+-@UUt_zw z%k^>$NribV?JX&~oHK}1w@8C#Vf`T8&%gU8r?LZ-=mPtXPFxu`&{^$5A;aDWm&DjOUN&n-d3x?tx_-EX7F z*HsJp4i95-aq#)$Vx!PB=e+IBajo6WQ5TZdp&M$%=k{lG@>rD&AdocmqWzyvV6O5C zs0A4ik7LMU*xscHW{J74%T%Kxwypc#{jqW9K^z)Z#xW&#p#L54&6#9PQhmm=d1gF6 zUa0!ygf`5Zn~S5_+uhY>3e_zfhW+^rJ8Yyp$vBUaWs>;*V!OIlIuP(*JcQX<6bYJ_$MMO z+s%a_v_28(lKT-rPPV|-1Z|cX0aJKUArDODV#7F6ZVSK?^;)8XHA{^~%Z<^hEf-{G zi;|3v?{^~qETPF`RK4ce>fH|^5+ROX7P+CI>+a6+wPFwq4PAZYG{BZVvD}-f}@!^fd5#J{?3PuNW!D#P!x6j3Eu$3dac$^R67e zqNcb!TUq5HV!*-@)(@Nayf!F<3H>HHtRjfNYj**+^g7BoXBHKLsG|9#E#P%X^wi)4 zgVEFdp+19*RmbRjw(5_D7Ge*9TYdpGD?P%aZjG~j@0KHlfZ*J1Ixi)q)zNXBSeYIa z#1$2#v-HAs#*?fy?`6+u6njc*l0KgC zdO7wV7e5qGNzoB97c1eKb*ja~b&XvM62mca?HoD0G+e5t`HotMl^-s!1)DDM%&?GX zNW$}}Wq%x(2xxJ=qhrWZBRE1_Qz^kqp~Hr(_}^W2CJ^&x?+YDMbQrZY=E_ilAsdp4 zL>`V8m<}n6txi|-bcKeS?*39e(e#{7G)>n*la3<;W%f-37sVzPdUNN*j9-4=cs?e? zYY7<#&#M8opgxUvRo#NFRxwRucb%4(cQC`4j=&pgyRKPEj1i-~XV| zH>lT_V5On4Kc1ny1ctHQ{0~zt0M#@3=7@2 zgC~L@F}*V|)}S%0*Y5^OB$ZG08jqF9_IZ|7m!rttA>{rR3gT5`6<8KW z+BsXy;^Vi2>E$^JtMzroNL61$i%>N)n1yIxf85`?8@j~GGkqvqCU^vF&fo)HDImD zoGE2w6ADd@oAdBz@jsDF=pm%e4{&!J(jm)Ms50dc3D1mw;6ctp>=RG?1|R1wH}KU5 zaL)zB$yPBMHm{ZL9(rgjh*$W>U!6TLsRX;|q9#;GD8XyB#7+?z!!%)f9mYoIzr*b? zueov5#3Mg@-8hae#{XbyIah+JzS8`Wm~~T%e`&$Q-q0045hu)sUMb&WADN;IN24-l zoExta_s&#B@L=W4ij0VJWy1OwJo<$zVa(7r^jP+{H8#Nsdz>%dp~W9^`+S0|R{*tY zaW_vL1{Zr}xDoq18R#9qOZ9B04aY| zv_M0W+n$7fh)-GJ)>h(|ITmW%Nlb-a=8xg?2XHYNKl)yUDW#LsG_~PM6{y{+e#kT- z5!XsInRLTH$!sa#)6q#7bo&Umv=xAxt98^Ms(!u?@>WKyPJ(p1cADgTt+9qPmyawM zIN{I2kV^^a?2{9*%4ENemAt5lXBuug1jrzyuuJh8=%w=Px;tpu+K=1~mVm-lD_h#mfZ+=a9YrJ8tel3Yyal z`B>3WSHY1-<+_%v#WHR7*MKzt+;Fx!YSyfNUpIvSXGRPCO)WZhBABYuo=P5Y!}b+^ ztDfjU9-fKuL=ReIIs6|FI0RCBHNO&6u)*U)!IrH)A=eXELW3yiO5{a}2|0WDPEzXu z_N*Z>U{b<_kv&t48``iCxuew98p zQ8=33o0ftBiVrG3^TcNx>k0-iVZj+h6M9iIkbE$`UaEi=X}-TYMET%c367$Iqig&x z3oJV_jgwX~Nd#W30Ov&o>?C|u#HWHn);R>#;uu8q?bhWn-<|IzZa6uqppk;SfenYQ z{GNw}zW(EJBvt2Y;uugE2C_?q*b~&UV~d`90bnr$z~Z&k?rypntr=kPAIuKt-iTPB zhMJQ03+o4{yyZuy*4fMc=FFdNcjYQzkn_0&kz>5&1n;a=KZlGHIz43W%_nIn?Uw~r zM-PsRsLi2Vw4q)_iviGMXm?>BvlA4`H@_ma2&1?X0J7Eopl#Z*|OL!qpi9;s~#V#Ho2 zIosdT$uePRgmhX`eg>7&oS#N`m{L&pzEJ1vEXv-|#hliYv z9nL9Nh|p+|_vMQU8UaK*3NPl&3+$aNEG!&49v>ff0vq+fyM$m%=nqwEOypQjy6oCW zhk6yO?qSWyc$-xb{YZtul2C$rbC5@vG#{%h^4keW7k`yCn)afDSDjir&KTeSeA#dp zqZ0*Ipe~$+P5IN!dye^{nw<~KmV*>_n$GE!lPDR!(!I;xTP8oNwG+`tE`%pF@fKk0 z&GG(4q#yi&|EpaOxdGm{9J;;iLdLf$nBN!~<9mC?NI0S2Krv!EBZZUYSi7QVfR!V{ zR?F{g8*m~^PjEQ#ldBJpIr2(jO$zv_Sfxu~NP|M6*v+*0~l z&cU#@mK_lVLw{XDOdo{?m)F)$L(%|SI6^BIY9r12vN{gdwPKu7x&Ep_RLBh(^RXg9 z+1!~bF>s%wTndF&lj^8(4zbz%Q%z*PYG*$}DKQBAB}Yx26A=~MS*KHb|!waYA{$|;qF|4_j1TVJCh+Pi33qdBbZUZOcfIiJ%#}6)wyQ| zi~mTV18H0h_TzQaCZK_>2G&?f?X@P^fBv-F*x7y^QRy==p>S9v0-X;lkJva61x{*6 z;UHtG&)A!Tqi2uWXcGo+6L(E^RKCgCe`Q8O4=XlTkkhRVVd28UYF-+reZ>xT6#iB1 zrx}uTf-uzMCTm6={L!}U9mEp)CoHM;r6mkrRDl9ao|+sqj6yI61LD_gitT5Cnz`}GSAjVJH1_KpM5}#& zgL1PW|7_uz85tkB(w?85YW-J#wbOnjLFn7eH$~lac0`umeRgj@ISpD^8fT- h68`_(B=i|!E(Zw%bEv-u{GSQPTWKY!QVFA={{<*zYJmU% literal 0 HcmV?d00001 diff --git a/Fictional Character Battle Outcome Prediction/Images/__results___25_0.png b/Fictional Character Battle Outcome Prediction/Images/__results___25_0.png new file mode 100644 index 0000000000000000000000000000000000000000..df754bf269d5bf6253fb5c4da58892ac27523e2b GIT binary patch literal 18223 zcma*P1z1(>)-}8lq@yA0c9AnJ=R6*_*AwCU03WXxPb6Z9cg~Hf}-z~V< z@Gs?jt61>IHOHIkj!HJhjxKukMyLmRj<%LIj+SQn=ber09n5U3`M89*1US!|Iy%}q zh;VaT{rdx4HufgmtI5e4a1%V++Zqli6tN!i8zW01(+q`@eSJqpQrY$OpOGhzl&6ny zRyuun-Z#Ff^I;x;?)N5^Cc5In(|hl-O+svU`lG-Je z;}@U8WppuOq@>Yt21R9xCY{MQGv$)TfB(i#xF1AFD@f&ZOv$YsaGy=u-oEJJw#Anp zWj0Y;e}2+hd7nOgnu^yDH}>uYLtg4p&+W(Qe|{>ih_LVyvALfWaap1}+AQ!+)2?>2 zwYBw;O1rVppSQX@lQNa!eROrMFg-op?qJ8xW25_)dZ{_N=0{7j?^7z7@$poxhP;=~ zh2nTc!C(UKv-#g=Yg`;E-W)yNTo}0OG_Oo|&HgiPx9UhZHQ%$>ufr!AgAMv}RH%e) zQ}0AkQc-2?j>33eCnc>e7I*4Tx5crEf(vH5d@6i5sm6TS89Xj>eVlT^%ET;zq2I_r{zl!qt z`t`oYW}jL}WTdQ}-PIr>dQB_4>vKzo$xB8yHa0<~3|7ZShqrIvzH$FP!SKjP2R%^& zUQ9LKqjFme81~H@H&AfriG_t+4N6MN;P7w)%O53Q3|nfSth1rwH@qzq?qlQN;Kckn zw)Gni zaOu*ex+0_Y5;D&~Y(g5{U#-!Jokm7R@q$(~^8*FM6^|n8>TYS_Dp%-)8sLNK$WN`fi z^Yg%>v7>{~ADgfNR*>_JTXzX*R#PRz+vE3F%?{V0LuIn8_9DSW%zSIvE8j#Y^ z;KThdox^vW`+oXX6hmL{P^kr_W~upU6cxYevv=+vC$Im6^8%Y|vMWv6^ykMbuV26B zA8S7}*y`@?hI5hSc=Yh$!wGY59US~$zNBP(kch>EmH(*1k3r1sMw-Hn zY~{%wd5OM-swc4x4N`D2v5$_9p0!V#_GXb9cP2;d>+rJ2d?8_EjOxo(OTQDt20t4t zGCG4A|50i|b={T6!^7kJ%l7WKcg}hoZVtpn3V0uR@SAV|@XLWafDxBge$&kmN`vCQ}72G68;YiI6B2NBeVl5=!r$}=K^z#*c$p{PhE zmn0Gh^J~%9(b{?=Mck8wmNsm5))aXXysKmw#g#62@Wy=KnWd#ADgpCzdz%Zv`H!m_ znwoAF?8v_s_I;`2Mct7oAg!;@45x*cmv?2MpjOd()z^m{M4U~4kGlS>NqKH9}u zpXs~>q0Vk+W#X;`zqa?G6V~a|OqVa?1rswitLb>2hSTe@_T{2T(@?G&_ou_HpF689 zj8|P(bWziJd&ue~m?UQ_A0Ohs8-IRMVqz2cL`8LCPVFD8cSa{BhQd3)&B&z<@tH#H5-)olQ!w!*35^>@mY0}o#-hnyos_}F;G&DRfF3un+ zDY)<81Bmk?8NvlqmT5B>ZR~Cs#3>gq%EZWyKcR%Wzg&GE=-lVfqbV`cNn) zEVqqWUkGOtf6B&WZEbn_3v{ApXJ_wTopVpBUTvnuB_e8uqZ$6-m7w0<#vBac^YaV$ zRwl!^Cu8Kr>tSPDg^gWe-iL4X^P}hDwxXtHs8*S^S=_a2*XqA~!IQ%MwARKkSmAI{ z-@t&Bf+9%AYxne2b3|jQ#Q=}VH@dt(NO&G`8DoM8C^hes($zg*R9uV%Y%?zc*C$UV zV2)%hEjicL*9Bq(Y7f@#g;QNU<+-;}-x|&GP+2*^pe1sm&KDC29NneZzZl3dw^ZfZ6C=&Or z#qQXVay#kPY5S|jU#T7pL8QP!UA5@v%=47Jbt}xr$LH?V`w6@^hutrKP2jtQA`!9~ z^)MYKZ&9!DsCdW8$$8(^-8~E@+M+FzL5$tf((<#GO|{CLt3M8L|Bsp6f*N-7{`b3G z2BYo_-@bj5!exSKWf5^+yc9qpm7$22p?H~$jErH29@ZT%?ykz*^}81-eV(`PCe|e zL|yVx=a1G?j!oO{-n|Q$CBW9sj&yf-H*x*c`E&Sz<#tm+-&!E@$CN)=e~0`Q_Btp> zGCu137J^eH)Z&?kODcNh!tozN)GaWMkXJBGs z<`at`haqXezo1yJG05ysF+>RD(kO`|b)}>2G4C_CZry_5m)En6mHM66sO?;yLxQ+x zWxq45EGgs|I1;99C|p`vTD!^5czKnDg@p|R18T#SPWN&@*^JdRbaXseKir<}mWCkq zD|+=?qQE^A2_@Gf*TstHO?{!7=;@gmOw^;tkDYQLBO9aYX1mi%+c-2Gwxj+82LzaE zzPho?y&)SxGXZfxC34q`+~82+aN}&Rd8yn_Lu2Df*j^C3y3NG|E&2(#t2dtizP`M< z_0z_})4Jy!q4iiz-Y${T>hD)J`UCloTie>C%+1;1wHXEjiDRSIe-6g#tg*-8m)VT< z6Fj67_fVfPXq&btpy9urSqTB4q4sE#o0X02jaq>=WSu%VRF2~Phk`bv1R07?y$<)x z+7=fVdGtTyo;!C=cYA3>a}&}{o*IWWgua!vH9traQqs~$e1Uu778`eb&zYH>&DwR) z(_^w8sSJc;!ytuw0C+HNYd^Ji!M$Lpt`KO6L=%`yfYA`;K2&&>RBpY#}&$sd5kE@&mb8|WR^B;#H zIZ-87HLj)|AApm?@2`@LL4-^%+aKntUO{3EV2#%H_MY8%h)VqyyrTd_Cg$dzLZHwc z{q$sIYpegs&;7@hj(D)cdk;*rN$BX_Yj_u=rk=0f(uw~3(Q?RdsMrJnJl@BLE*b09 z9=k^Gh9~>O44Cr{zm5v;q{l(DS-@oNMJz4WqVvla> z=&534WaMD639<9i@KYqX0{~F3a=xPNv3k>Tq;fOu>TLTnhin8gKu~?JUU+JzGo=Nf zA)}^Cb2xQ8zZn@eF+;dn&%64bp0k32g09;mE>27Js1mKx${pAo0>{FP5?+sTRjkeT znl+<8`>Z_;h@cf}Zs)EI2gvuRXaB8Y_R9Br+)NiQ;!L$f-GZbrvA7rxA&rTR?cH}5 zv-b-bISh^-29MmE?T^PEHf;+5K*IT^fogN-^;u&inVXxtedkX7iz`|mtVcvVR+}i1 zR1LxNKCQ6EIVh1_cc)(#I?gFVN@ikao{V!yQKN&~8`b*ln=F(l#>UlG zU0q$T+d8iwULiz%C@hq0iKOo?G`QulHDnTh)c~7K?sZ6#sEhgY`okFv6g)PrKS|t^ z2C|i3adGj)#Z?p_d$yXRJ&VD?!BhxN#Ch9|#1g5}!9?mGEfZ9qz*AH?mauQYx3VeJ}bfV4#=B1jsPTqSPW*u$@^Zj|W0N;YC`HaVP zj`t{`=0Zw3B*k&4zVC8;j5+OMtE>W*i1Xs0ubMVofLU{Y5_1^zk6gy~DlD z=$9{pA*GtN@$&I;bnF0(&n~fQYBXA^rT^epP{7^L(C`7l){N)84>u`4T94#hlUJJU zO2Y&IA9VT*1;AYKlH|NRtBe;vAxT8RW-yCWVLfAT-Olo0XSLj8msj<@x-aZ^0$*R> z#Nb}#n-F}XRPBGN5u8wh@o0u3OW z5-&2nca6kW@G@zwUi|Zil#J{Y6V}~(_b{lo-PqcjUR2}t7U(cq^uO;OUUOJJyRo%A zR#2gWk4hA>i3E7a`MB~NoMh91e0nbk70AJY8bKzQh(4S`ZLG%gs@H+*r@i@Hs;l}~ zOQY3cH^V3`VkRBH&#gwugv3LEo*HT#vg-%#@JR6cQFD4d?t}t(Rvwy(k5& zoxfCC9n?<*i9+A2-CatoM`)I7kHxvPKZQJdMslz-6-E5|o?iaKeKi2Nw_uid>?UO% zeR3s*T-E|6$Q2;NfL|v9-TwR5so)3jv{QC84d}X3>u*S3MH_j7a zUQ(6WyDOb6c6N5gA)3KbW5DCzRZwV_m|~#fh3%O4w*H(E6%}<{9vxW}JFndF)#0oU zKWqkB0(uc;ENpCicX#)R`FVCoNLK)AbBBh8@^8WhxG5#&hl`I-=Ird;FgB)hKb}W2 zHa zn4?H@x2blI4<2z7f&>k;1P2{GJ#x`aP0b&eHVON4nJF^2Z--<(Ob_aR^3h^oDXmOo zq$=g$zyqrN^T|(sQ$N(y%u%uF&3f3-+$;-0Q*4cnVQU+Rmn)E?S;Qf>=Mr59$NCNjUXw@-*LZ3X z&MEY!XY-@eIRio1)%X(Yx!NV;(EMaW01pP`8Y7Wfs9xPbED zh8%eja7f9PfYlHFhrp)j85lJFTw%S-7C>$MmV}h_Vd+HtUuy3E!snTE6ZbvL?JM^> z6ah@Rd;2ys^BLBFI!FuSGc#&)r{$ZKp%#Hq>c4GZV?zuxOl!!H_EjiX6;t~)_K+pD>1J$fEYFZyW@x^9 zU|58tx37$R5e=`XL+}klkz>yw3nzl6%JR1HNzKivEWL`xCW<74nRLt`GtVM$z47U8 zRs`jJ0Rx29yrUp}BO=GdUHYSd(3U5f()!=Uq#0T0Gh~vr1e_x2uLr~lVnPagDVPo{T zdOt)jdT#w=PO<_B*fF)0ELuPQZbsPW=c&B5e#xODJ22B5Z}r>JOLE0BRZv&3Cb1Y< zlw?cvIGJ;sUcf21<3|(Jk)=k<9czweub=DgNIP+s@eSLvz|1ozeL%mg?oRRQl`_w- z=qH??-u^p}w=0ZnDxzV8(QngQ3<}!)}uMTrLX zg^%y7P4y-PQdSu>6C@evo$Pkn!H9xoX(zz&Z#IFnpdK9^6?U8@`SH;TDj|D&KgDd1 zadChup%CQs0aC53u1cz_Qz3{2;J3kiFA~iME>j?9AevSA)8@Blr%}LGl)jjp)K7{` zdHE6tg)lelI@N9h5FG>IO8tfaymI&LeB;NOnlwk;H#5uusaT(w*i28k~nkayym(3r=1@4^l_*P<>&KSpo z9IiO)G~fHga0E(5)D2l#Y!m=FW>HbCT)C#1;D~hzT(kg!2lXXf0e52oSOIKT)W~nB zvQa1<9UasS85yidMu|vTA#2lls5=Sq15YtAF^RM^SbHGRhFllUu@{gLAAqJj*yxdm zUDOv|SOxV{cQ@(Gx1>f0{9UCMY6uMm0KO3tUDrn|Eq z#{=B9zIYNI(7^(Np&n)_2K|p9OAG54wAV;UN#_Di!fV_!NuwKTpO7GktizpC zEofEhHP1?(i=TWK3p4YZi{vMdV{c969XAq0?r}0J=6ZwWReRk9nci;-k(kulR%pa+ zH}-A2x!~1^-34hPcN_sJ&C#2SpBGka6y9e$9KI2&xxdl)bnLN$CbM)H(Qe2qFG2=w zBb3j3jxBY*7MxpNPW59#e-wH$&v9?<(H_bgH+~!S^Tv;1{lt(GF-TnW;iz3x{d$I= z$9$~r^l~PHy35`N)ZzoXf>G2L(_U=3E@TEE;_8&!GJ!ZTF+T1C`|bdk)89mQcq20^ zQr*8^`TF2m*jt-UNfm65t^)DUr58FhH(jh&By0Dceesd6>8vx6NV=)O76=%4wtzPjWwf<;R$>%?&)}H*4K9e`t3$O@thhX}Vdi31{^jCSOqcFJFA<0g4mEZ0C6f2$4da}0stX%YJZ{v5nyL; zp`e34k(K=S%VUGz^ZBPxu`gOt)FqWue}0|fr5*pg%tbubNw3u*9+E7x%9lT}O^<(2 zvE7}wiJj)sooYtvwcA{r$jqXY?dq4z1T$e##C`d4eVTMILTFqrhO*kwkoEib?_a4B z__O=!CNGzEzg59FMN5f+qA9x+;2%TNF1{w+{g^s*>Bo4xj6{|S@2_FkmDnf?%Ei^5 z0qt3l6;-Do`M1T+Vn?$6UEV9DMA8qE_NT|cQ(u!~aLf;CZH;AbUL@4ujMHGLby}cM zW+w;HqomE#!{b?8oJzJAsC-CVrr=FJ&DdL?(GwZ}VfOjEuhsAH8M!J#Fn^w#9r{46 zZFMfR!9$B5xBAQwW`43(f^+;}t@w|c*J1gG4mnrdm`7Z9<8)moojk~NC^MR(jxKhM zN=6VB9CfIQXv?j!gz>NEqJGDEpP>G-CcDs-AIZ#&1|l zVC7Nf@#g#CwvtBog1%dgUEVy#-;4&;t!*eZDp=efgWj&BX=L#GQGFZ%jz?M7y_i{y z^Eo<1UO#hgXh+^G4Vz^O@a3C79pl+I`15Bvl(E3E;XumALn-9;A%CBon&Rkt***=z zMju^*M93wGFP^qZnql0B?LNyUQaFbKlSA6D}R(JzkOX2k|lrHvG6H_{VUMxl37K0BSj5NAGvODyn8{ls3uDy9S@9@C> zFvLvWr&Z?7-tTc3B+;MW)tiR9hEll25|ftoey8IFEGQrck$@cXWc@eO_3My?fv!f> zQSX#&oIsBKh%X{HcLNhdv6y2npUoHyOnC+{B2Y^2xqiEzK>T90{s}z+{dN8Ygod3+ zz6Jxt38aKio+J{f*7F3n2a&|`4{Usr^;G5B47UF9@3)`$G5md2)#}M0-VPVd{H@kb zuq+i&R9~*RpQJ{N8@P@CqYz;74@c*>BJF<`9Hq}Bn}g?}0My`SB6uBPQ{S^Xbb|N) zPRSaU*vV~?|1xu2oW^rQV{KmFw{KYywJSeAA829O&SbIZro!qOSr7D+GZ88UJZDA4x~2p!r9;@lgob{7Izv+~oXRu6Rb zOINNS1`&kH&gL`ky<|CDPCDj&EatpC8UZjY9rS|4O%N7(|W-6tAh^#VS7<^Yt!wdbadfk zUi*ZdV%v284_Fr|2tziWrKA*;o};8(D0!@{&48){A{b>m+r-Bfdy zRv8xreH6;f%nX;1Ffb}A>YW@S53H{v!cLNbF&c$u#Yfn*oT_`9BTO>nwx^)vTINl z5f;{{<9!$ivH>-TWFNX_dkcptt@JwAP)kb-%Y_T45z+{eWvB0EkRkPTM@L^y3OaaZ zXFD7(9)xz1J2}>)x47UR;N&~$$Wv{ z2G)xW4cbp)f)~uPZ=i)%W$O@HH=iJqQG{@`?&3Feaqm ziVDiiya5-0W@qxugU4E0T5sRJ)dg`FK&Ve~ zF(2rB(ed$FYMjV1mSH>ZSblY^z8>QYCD-SMz%z`R7tfzZy%Mq!ymYduu`btk{wtc; zR8Lv{M=bDvHYfHa|N9oj-@^RAjy%8ey0lX=tH_1@o+rTtpVsci`2%y$OMbbt zdEoNU_TrFIX3`f!Uhq*!Pr?tFS$ZxH<@T8?wMas(?nW_8ZiDOJyaugrbRz{34<^%bJAdtS6@Mb{qn0;sE)cW{!7K4nGlsb^7K|gInZVREofz-MR z+#75*i?&ySR-pwodu>_ufT*J<;1jU9K7Y@+*In!F4KkW}8@zpFPo_MrfG~_`Dw$;nf45%n^6I(n##OHBL?$LC z_mi(vL)2)1UA79EN&>SijHOWpDMp*5ROZC@!M&ghyRSJi5Sf(JHsZc(t}Ew(JU*T3 zL01duS@ujQ+s65{;h<*L3oOHM(-40Z)z3T&O7gMx#D`=x+lk$Jv?B?fcnzFZyL+pCNelJ*sJ zI-Z;4ph*Es7z{;s;>p6?5r$n50gf+OWMP5-XaP#T3-oe+(=HSg^uWps>}@aGgbE`g z4c)LFn)&rB6`X#kww4(OdwUd$`_sy)t;HdO;aTL}Z#EQ^_lXV-B+j|=tKx9 zOAZ|YoR;iX-EpnuaEd#da85hHErCA0Nb-AgFU}w~)7tB-J?@k)&U{T+uUi9W-<#Cb zx^cuCdta(yWJlJW^qUU`=E~-P4y}a?49$>L*1gFJNG>`67^R{xKU2?b+qIVs$3Rui z>y*MpoEC7DK~H|(eF_pLFWabFCJsz!UMGmkh`SBkblpJTq@R|B`!%Pj6+tKm^B)O9 zn@vpU<;26oTSGPyQ%yjmgD|xE#~Ggcg!RDEquOLj$m+*AP_Bh;a>CVYN>`0-TJ^Ib zh(o|`fhr{W`Ex(;f&QAAvA6;szyjeP2b8AZloUp=J_=e6rk09Bx&%Xt#oTa3v1$^; zxQ*p8Mj)ra$rch3k@ua?%293$d}1K&%0SSz+n9ZbSe~+!GKsEVzdjD(2>cY0Kn`}t zoirK93YnL|Q`x%Kqr~X$AH;;zus?y_YSAicWhUtm1&< z7Y`LL;VoY2{3jH#CxEIlqYi_WicK*B6OrR6kVMg?72d6yTrZ`$UaFZv&idmA%q)x> zad_#2GYLVoK5M~!6;)LhWMU{8Sy>Q=5ZhlJqFb-qZO{~Z_x@Z$B8*{kV(QHDGBGS( z$Me`&XD@Oi<`?fV=E&6O_hwgx;p!_tU#M@6+?_|R^=-qmb_^Zg-nf@tgat!^q_n|D4YTVt#;#g5&{sYh+)pHk{$so%^2Q*7C-oT{};8 zq1pin!?FTpi}3QttwC#GBU>Bvbaivn2P5Vl{SL;4SJM^PAs5`fw=6z*ij;_N(-O6| zXF zpIPZgf<}=hn(5?6W9HkZIED3S{r*|0f`Eb)5@yd<{!3apsVbe(e=u8|2py+R#+4NC zx3r{TeZ6??L{~Yf|HjdEW+|HRCe`3L(Z39(Zm{KyUKaxP@#I;$h-CBc9}A=D(I04* zH01qXKK1X@$(EY`DnC$b8z4aXZ;6e4qMS+GTM8Az`cH+5P%4%?$kHYaX&|^whQ9Z| zIAKC`Eo(SpIKS5P?9UbQe_y8jWv%bkMEWPK?CaB+dpr80uv?m$%1Fg_xcSXrW0qny_&>RPuu0vRjMAb){Nkq{S?dP zzRfG{JoTz2S#EqQi&?Yu zC}!ISZ!^EmC>?kuWec>czf$9mut><~Z|;_QW!fDk@pMT>>h{scAG^UsvaZfE*|F?!7MqdihjU7 z-rYQZH`K~@PhO2P#0)2e9HHAU;#17`^d6qwfJ!bJsfwSO-7KlW zrhKVrd3=EcmAY{S3$+m?{!~Y>ukr1+&W&ab7uJp+n6*D#zEWL|UiuzYKHjrRxH2)W z%NegoEPiw|e)Erxt)nUiD(JzdkeJ}dtF$e%d3SGuk{Om!l!fO81u_H{9v7mflZqZ`A9~l^cV6LfzTxH(9yQ2&iSrh=`WANUzU?%}syt zZc1)6?b)PQvtR7G&dj)4z|Ut8U`R%moNDs$%0Av%w)5QF^2LuT?3;#}Gz4sxr2@oa zB6I|C%-Zbj+hUHU@8RcFs&Q2`v{$VWcro8oaLvTde{AccbAz-Yx!vDpg!#aB$K~y7 zIq9}JepKD(z_}g6O+3C^ca;Sw`if3Szo>%Sva5b<4Gv1&oF?wIkalT6)gL|#HLpt>5rF^DlR*8&fo-1vF>2Qx=c z#vbN{96!xAvhWlK3j8SEU(Fc(V5t7ZIlObabyh5xO zFG@J?17iz3K$<~%ca~oJl4p_JOkP0m3 zjEX9$Y6g^~Tzti^s&v(&9fZ9to+%qb(9y`gAvpyCA)3oj7$NQhWI$Z$vP>i)Apwm+ zmV+N8EviXQ0hts8hAr@rkWy1W1wXNQAFxQ0$47^03YVboBNB2AI8$dmm(cVcp}F49 zo8ZvxS_IelE|>rx0nDb}>SU9!?KldgSyC{ezj?#_AnE9Ee+rs=20vQSf_C=7q?3Vw zR`C9^(o7!UMOMPT>&C}f+qJk%JT6O*5IzG66&#c&_%zf=`3?kR$JMBzsF6Z!GHyu4rYBA`~@9u^xKl?Ptx=rKZdGb%Fd4g07#qxn(s}ktXfTBJ=tz#UMXT|hO1Fb zzCL#iIHmv0ssZjPerkP?8qps)K_RW0=%sjmUg;&0ShG)_gLZky^qPM;J@wqmyGuJ(OZ67Hv9-pc7H$def$fX;8F=2+mzhSp+8~X0xr(}TQG%L{GN(^ zp3m0(%*nZ{8$wJOe+hWNEPvT%Y`lx^|7oS6VI3|);|8;F7>Tc%j6JS+j{~!1al;}PbLAjc?RmJxI`rQA9e*OWBFWXP# zg8-TaAE5#2f7yTdarM*}UZY?0uY={SBr?tQe_4O*QkrMfJWJN~|5Oi7aAIpEUMbwp z+T&i$=859*FVF?(678?}o=OqK?G`WM#BRu&(Eq*M&Y)utg4E}xrZnS@L}-za1mq4v zn$==4_Q_e`eUQj6X>9z?c&N-K#drif1|NXL@i;!*Mrizeo!UqsX%bk8&}I;RT#UMB z`-_{)%>@tBv19KVWvqSrbR8&10XhS;%bonml%XUWf0laB_HGL;(`Df-mgv zL)kb5_Ejn1B*5bay(iCJy~^6d#sKnL>uJ<%SWCsa+HdV|ErLpj<%O8?nDJD`X^^A z1u0g~M*)|DSVqAcjjRfY@paIZ1ujv4$OF)dbQRQ4h&obf3ggfR0rYV|x5*?XMe^eE za0Mo6FsZQXYcvUIG!vLuF`=N1S^Nn;5D*9Uiv(#uaYLUDxImNUVX?{Ko{hlZO+aTL zrM4?Z?co+JwELk@&}HBo5kcs-y%YgPAeoytCt$^Sgqv}qpU&@GGh&8NJy4(%3>^xv z`6?Qt15Tt_wZv2@Lqbk@pEUa$$T#!Nz@pt@3r}75#%l50#Z(Q;6H-{%*bPAb!^-a*ZjW`)lSM!LAB>6a(zB3o zp!gk&od0NsGl%+=Ju_vl|V?YPsd05#*vY&uE5A3?P*YoB#NG6PSF9noCc{n7Mh&XAbTK! zT^vy9(%H(1m)V(_zeDyAdr@622F_q#WHYuw*^l__Lqc%*WPyyT%!0<|R$k;4!S`c2 zRCFQPb4%lEk|;twBkidb(k#5{{|hSsoxcJw!sdFd<=ZA_C^+lhYZN0e<--Ra$d<$~ zyT6ITT6KYpk%D()kAu_2a_w5h9ww-2CwgSdiR18pZ!-Vqx%8oyl#;u(B*K%fd8fv_Yh`gVOjM)-u6Zv z4Qw8D-(swX=m(zZQz)oPPJ>-d1lnhjCLL&y9iMCpOZ3c9W=GZncsYc$8g*Y58$SL# zw_mjy78Zus>cRH_ELS?P-_Vso4HomPCk$1=!8ow3^!4>ov9&5Z&_oKhG+ReU8R!CD zg&q!5dK37YD{xZdv$G*Y^dhEB*|}i*LxP%LOw3t?U4mxYw33n%#cFUM*Fh67m}y+0 z@fCU@GE0wuC6j`-N}xZxAiW?>DsC-OGVdA<<)2T$9l>2OZ*+Pe(e)GE-c20&`JLYFi!V2n?O%SPSKpqm~$ zUIl|4Qt!+23y{5#0|Zt<9Mo-j`CG=uY~sfU4k)BuS2h39Q&?XFha=6n*aTEQ5Gye+ z9Y6dIv@AH^>2F2S)k9m@3Ye-E4wIm9gc$^8=z;zWT`Q456p=x6>&}UZj`m%y*(U7$}`eY_hjBRU4^X; z;vIq~Kq-SLGU~DZ;C_;bO0hUUzp};aBbbNQ)>fa~+}wUI7^5u^g`h_;@$o4wl-59< zfplkcI8Cbw+yBA^YfpFnW6`9kZ>_D!Hz6Q$pIO|?*w}F(1+h_38s&Un2!xpLC@zb1 z#ppu=n=pJ=1V{qVIE)Q>TqP55Le}G|kNtKqmhU}1(9IAEN*E$FL(5WM?_~}S$da!{ zS4pDHc!py7=Al6c-~tw;Jm_UklO_DqJ~A|KI6FK1w9$G5h&-hn>KRT%F){Q@+8Ys|F-=jG*f>tA4Q zM4o5w>?{l465yDB{FSd$_s@?~FfZiyR_2W_EQCSflM4Jes!i(y#Ks1`&g<)SdueHD zh^Yt=7z7QDynkwk`8HgrJ@zItb@MX)n)JF{pjsh9Bgc6kamIHYKBUd zfB#^qY8k#X1q0(5)I!k822Cvw6%*wc(ij7Jy&?+N>=|g`V0~Dt4jUCbj>z>nb zYCK?y0izQOCnv%F_HxVHJ2C8i7LbgP5dsJB2I8M-|NDggJSXJ43gG(y0uj#xKmR${ zNXU1ru&FZhN+h@reucxzT!fDlF8`NrZTVjl>i^-Q;bTk-P5;|_y3kDozwX?WlgXFT H_51$-TfSgd literal 0 HcmV?d00001 diff --git a/Fictional Character Battle Outcome Prediction/Images/__results___25_1.png b/Fictional Character Battle Outcome Prediction/Images/__results___25_1.png new file mode 100644 index 0000000000000000000000000000000000000000..df71966031acca930ac5e02d3bfd315e551ea3f0 GIT binary patch literal 19845 zcmbWfcRZJU`#*jnBO_#n2o;g+ky#R=j1Vb%B|FL6I%*ko-uV1)g^~8j8B|7>(e91{`+55H#Lac}Wi}6Jw$rM3uuilcnuIdoEFzBeE zYP5^HyhPZX*^01zWEwm5)mvK1(sbl*QTgQE(P$jae*JPIws)lx9QHrVN%^_+esmIU zaU|Y+Xv=t=oTBnAa{d0)pZ&^a$FmqwdN{AI4!1pxn$vG}Y`wb0)hxDU8*LjTiN|yAMoJnIZjhbv$)AdoNl1vACJ+bT8}mVdCI8GOr%pMcx8(Eb=|`cK1p;&Z zdF;i{79M9W{GOQ5ZTY}$ZEx=*8TajhRhdz?1=$&PVPP8h=zC6`uOa*D>u1SnY5g}B z2CD1o&~FS652xnVKS9I)Se4o4joag=*@|*9J(#63N z^~Bv%L`1dWye7+yEHSzZ{dv>vaW}#iGlT=FxiR7E9_JPRIvlU{r;1Zzja6b@o=J+K zDc%3^L$xLHDjADnG~e~yFhP@6Iw=_$gDS6+8YRy-v|Ts4*#>p4U&o;2(DY)7c7QLT zQBY8L)SW^BWAGuMx}rK$o;nbD)pmUcL)87ig_RtCzAq=KNoor(GluNkYFn&bk` zisUzKx^69MVO(=ruEbT#Cr-b|4s*le=jWGV&OmXJh=}6dyLVMpRg&htnQ<+vXLybA zXlZFNuC;s=Y#UiPT&ZWk^w7wA9Cm%~_tcdC-kyu+mU@VX2SQ3tZkW9w)K257H&RzG|fDqRpF+^8Yaj6WTF9o0A5z@ zN3x0xIXU?UE=k6n^%>^Uva&nH-(`xNx4urpgdyjI?H4ake*ef)zB9|t?Yd*v5r2~a zR;s2uRo$CJGEFm24k2l5Z0x2nNM0@XbUXNCf^ltrsO&+K#r5mY8=9L_7fBkCcl>{D zBxJt{4dpg$AaQVZHW)5NTqPIzP^5Yk|Kl4;r>?l>E^)_dp#2qTr)GXP|GbC=knSb zZ{H@&Yi#%9=D@XJiGy#jb5~&NjSL?i6tre1%D-pgf3bpdBIGIg)>OC`s^>st<$o{XKhkGZ7tv8gmzmY9FvEP;F zRD#p&3!9VxhCI5k!14Lc$9t3SzZ4V{Om`&(3%P7(PWNUd!2YYMua`;FF4KI>Yfwjs zam|D+{gmX58_ntDay>=EU$si4l$2h#KjNzz8q(&o8hUv9qre@_=*Y;2mK!DZOWG^* zIc@kNA|i1ek80#O%g(n(iKs6gT+uFNg)i}zP9S}prx`%aEjckcDZYA0K|{laZV@}X zTzK+WjQc^zyZwXRB}|WP_}^yL%>t`oN~?3$tuab#(U*%g2_(8CWvUpoAzBc)t3}%}okXDdV zF7a-pkWKtA*RMJi+6W2mDLRJ+_i``BC1!-_^5xquYu^Rq9oHt&uV9IBxl1SNkooIr zTZ{zf!A6GrNf{ZL(Xlb6i+3W?rySIYHBLApk-u3Lj!BhBD}EFRBM#C zr>Cd2ogMjEVLOt!pXp?hZ%f~^?a&b@^DjM5RnNeemzQ7JTWeF_u3%j{eBy3Y@pSH9 zM~S`F=;$b8T6+4;@w&j9usy=*zf~OU$P-d?T`MdqIvFN+VYVlOQ`_y2QAl|Br9AF+ zkuRl(_h;rbhn(*X_oT#ck%r$(Pn$2W7$8a_N&I03ia z1wkok>9M^(YrWY<{t5#%HB#u`CCCIzKYGMkez0Q(+X3_7-~bJxIE2&)3k%EbXwfq_ zd`{h58Y&wd8PQeRgC(zpP~!p10|^L|Ee!wFt5-r0OK$WG4{riUymCS5+dZbCse+-DqmP!Ja%}nbhz$k`^^J`TEa~f zJ%7px(ip7Cvk&sk(Iw2jy(|CziXP17c2C6tHUk60r=+CuwKfTv_gA#67k^!KaB`~Z z>7gPeCEcD*2$#GqRYD0-;P=<5xjFwlvmX7`iN;6mu^2;cyB5f`GN%per6Dmi zJHQ*`5fl3a2NMfe^m~yqOP}NAC9^93^SL$uUb?1tX{l%ct>7t`8b~9*7rO=qXpv0I zLE#hF*p;1~b_`{nxWxL^FNr?znVwcy{or}g+utw>m(To8JQ;r7S8l#|5vY`7ZeD-c<};3GAa&);}a4f3&`G%;5!NN zTcgvp6N>EhyIAq3fctKp!QmfMf`BII0gT_Ha{>WIg__w^y58ocf8ZPE3o-CKE>P3{aK zue#SWh;A4e8J$Gpt%l2;@+2HrKOyHJ1}E?yM%fRMA~of%yPq6~hK4XbgzTnY^DRM2 zK!ZWSu-k(O`$Nv1-I)g=VfQ555BKf8ZQiT*L15E{edq_9MSe{oO8CNCxkQJByq>0c zs~=yKg$L$`D=NOIBq@0BmL59x4h#@5dQtN|dObZ6 zhYuf4I(|`QgWbsZ-MN>0w{upn){o-%m6D2VDoNic5qo@OY&=+k5;pJYQ>RYF>r}V} zy97z@WyBW_L(axVR=x`k%dX+$<4fu4##&ojll1lVb*^Ea`|&uh5N42hE3x}=;?(5i z3cnKNe*LjR|n16r$6M#LB1;v^&6 zmgB3yKn}9h^7?uC{W+b((*gnlOziCP5%!~1*cjJR1c({LFC((uj>)~f8c}}$>{WGi zD4#fS;_Xac`{TUMVT!Xk87W)eAo62-;Ikj%hN<@rmpK>QF6q&6*Xr%-yCufSq7X@f z)Ierq`}NGI!c)#*2j1DPUwk_nR`T@N=n^wel%^n!gop?&GBQ2=MSb_I$TI}_d^Z`n}lBaV?3xWvpDybnUrcg*I3K4r_c#neEto zARdkVnTmNIJ+%+nHe;<2-W32_{<_4E`b@oQ>yd95pAr-GU^mLj%U8osnk-W9CdaD2 zD@_F4XS2I$0h=}UravWwroy3J)nrxbt4}^@TR=Qt*_q2=hFAy3$s;h3Nc?cmwrp!7 z76$xnaPTZd$FRx!_wVZg>}zOjtb`!=f>YNh5C8OGj{t^V{> zEd)+RM#iw9vLAr(Ucgo}A1b{cK}AM}g;0yT2qC&%pYH$|a5(rgWi$7a!*q3P%g56b zYjbIs80jr@7F_&Q|ZmkyQa&9&$>!cq&{ubPQQo6>Xxp;cEC-9fsAteC#E1u`rCl!Dx?kbu>WMS%x-*kxZDUi}7|N36u%Zv=d$w%R z^XtQ+7x1}T5}I;84HSctG5hs?J$hSSWjv9{HJ}6Z~wU zKTa+69wMjkr=_XsMQSShY$ zMFvKj*cKg(R85cYCC_Bh+qVlv%~_)R;$5v-X;V3}f z=fU+@U$-+fHkQLmx?S1VSM+PK7ndCafklV7FH&s36!d3p%Ahs!>h_2yai;sB+xm1z z!mlZew}gg{?cM}bN(GjKY$b)Y5NMVmQQt^bMN2`7{9ULW+S4Bhx@>f-3$O9=@+uct zYRzPozmj4oDk_4IbAE4cZ@GoHO&8AV^l*iQ@UwZ1268>=vog-J4?5klJ5FMQMd|b^{GCtEvoe1r6IH3M#JJY-=TXgp)08|Xbb!VOX z{=+*FeAfYJ!0G1rUScyY9ZuSE=FAzRpB(#%kREgv^Tk9(+sj>@(JG0BbPopIn`icZ zT{Kk^=AX-X)BLhlF*$$?iu|0+Ox7;5Ow+E5525}w(VhuDtrGb_{OPRfr%#`BAy$8o za2E$c!>hf$9se*mxD!A*nlJ#Tb(Y4*GhM!)eFD<;bZ4S`V!rdr*iHD@+whq1aCH9& ziHOL*x<9<7oD6@6;wA;mSxYRj=P@!e!b72np4ssW^6wDVTT&h~;+&hCn>ZEaz>lE( zLiwLbTJ$i&j=m11`lsIj4yA2uxQ*MQwTuVh!KUt&m6cFZNC6y#V%4sH@bDnFpn!90 z`L0?SZfR*L7wiz&=<+)i!-}chV>xZ&)c{_bv?|u~N)N9>VXxblZ6v&qos*-is``mH zKSP$k=u47PK8kv7s)~ooEPgm<%_uo@_aj_MqSt6ofxbdp_MFgUo}%ESM*+vNADDOiV&? zO8|D_mmlO4@*20iR=~boMmPgU=xMRX20xStE|4eDFfleh-tk45*=1|c9;z5T$}0~w zW-8T^6r!r&=(a;xM{5bd@hD71LnE+Kmmd}??eO$$xvHkX6hTz(xVmu)fxM#j+2Y9) z9&M+Y3+wZJWHvT7=!xMn@8!xh>p6w4Jk(a`DVuDIAy!mW1Y~>e+_{msIiRKpX$1&v zCtEO-R<9Q605n`iF$WLNX#hA<*4A8UX=&E5=gj+aPXZdMioNa`doMLhw-OUQL;yr; zV6Y?e^8pY7N1?9OD09jqABO{uf^fU}UQ*b(4iIZo=f#k>b{Xh_1GLgx>d1@EE9_q8 z3m33I3RnRCq+**FbA}m4zpcGp39Su)p)>3G%CUy!4Co08pZbb}4Nf2&=x*M;iE?qk zI&oQ#T$^!!5WaNIb!JynnLnjb1tS3Bp8KmTgL*$GBu=7S$MiHS1elsP7v$}(Aa^x1 zSYggCxVX4@g@uJJudX^x-;|_ZAGxGM5#_`p)#%NpSzyV57RB(&HG;z~DwA)M0TTED zz{iK_)3dPP5ET=v1un5x$9-STn1MJtI^U#?9vCr{cktFsr{pZ(*7v6Bc3jS-apkOV zJWRHyNS^*tg4O~K4i0#b7tvoH8yjm9Gg|ava3gVZbF1p?%>Ly+`*!MJ!O+Bnz{<*M zWg=A3516^AXQ3>LC;?GZTPwDHRdwAdDJjW6gjvR~_~{%zykQ3bUY?9G3Nu6XrUxK}8Y zbUtm15@Eq1qB&1@_N;eKP7cgD=T^LMor|^?>s5=dwo|QDKYwn9P<0m#_vM&id+<=% z77xR@^scC=KuJiHnt@Y3R<<=n27pF*0p&VZAgRd4ge65g$)y2vq8S|;$_zW?Vq|1w zQ`wiG@M8$O!A%9k%5t_GH4>0f3cvdU`s*4f3V3 zt!TR)(-||jna&H`kAJXsz)93IFkprvND2aQ4V1N?7F0JyWQSFjt!pT=lH(B&R6|5%=(hy80aX;`!NIOo)C!r@dE&g)4?t&=&IJDl?M!gM%8@@ilUH+2z=moLbYFn`TC~#kYL&`{(7F2WD@?7IQ*`*Ha(P70YgD~c~8Sj zF8##G6Yfj;{J9F~$$K$2Z zG0iCS-PYAE=ducn8LsKa@oRB)2cVN+c%1-)gDqwu@P5JPtfh~r7?6bu1ozt|2@HhC z0w0tZAOD$^vTC}Kr1?Fk%s{?H+`Uxzhm@My7trB-&FJ^uG+-n>R1SU3b2kkzBn!i3TNCsFDVRhweBay;));E)>&Jm}a9AvwYA>+T zL6IxM<+y5SK9Em@#t$fdU={p;ZIGR#qM}Mrj1m8vLb8B~0{(tHAy}M8=$)o3bL9NI z`6E7>y)|`%XeSwC_L>~mJ3iM`jr^n-PmSOj8W~+rzo*_PE@xXCMi5;WV=~Os{Y69T z;X^K~AyJgJf|PyZ_H9BqCMS?W>rqU|TBKA|K1nfdG!lnIWT^=`I= z^FjshA(vPMRD70EGv)T5Ka3n4L_dH21WKjTbZK((Wo|AXa!pe+LLr`0OS`y*gf0*? zoowBdwfPL~vXrjCjJwHf50lW!)N%EEc6Rpip#3l-A0Ig`F@2gHVOT9H0c9(NlWq`y zCB84E_~q9!^FhG(zCJ(h6D$1Oid@!mc!!IvLfotW76#yy+337)tZk<{Z~=K z%?A}9)o9Gr^j@Avg}C`T^tgRlG}sI#I~oi&2RZA@sxKR6?9axJWVw4F)tx8MROUI8 z<7V-9Y0M1;%em)%^8LrJJo!2w4hLP9GFK8KolBpuob>gTb8Q5mpf+%F7*WFzL$pTdjuFyz7N8=OwDHqg7Yr{-;^rwFw@Zx8K*|;qqe4xW1 zsQxJUMpDZ4MVqu49BY$D!;s8UitY6s_(79ndB@-=GO-Fg@zCZz8p^ayZPQT@V}ILD z!%d^p+=1@4V8Ns3g!JhjZy#?P=GnZ@1d08q%o%c-+Fd!Sf8dO^Gc!y)Q(5NGmvSBS zZ|4<=8z24Q_1ga5iJW-Y*E7@rFD=W7rUzNdfQl~)3+ciCGtJyneLZ6(L)}9$m*CN# zsQxY%bIFR?+RdlOlN(Smr?qfrGf(gdJg}4CX!^YMS(VIdylny?@E(sVlQzZ|6j#c> ze@)#(p<`aGlyVkTU>jdVmaH5<)Pb1}zJ=$(@p!yKwsNRMHvkMzuhdz(pnsFx&>)NA zGsxK1PoLfdH2wPZ>)5W(fVY%b$%VThYCP?SN+T8mX=YB2Col;^03OIGD9(`o9ouYq z?E-{dQcB8~!2ZR5`GR+NuvI}yM;8D%p%SE_$AVBG!28MuFU-$>s_^&s?*JTLSW+?$ zB`c6HINHt&{2D-DK{e}CUv(T#%qO(<(S1ny1Q0G|sLIVl4}@KL!3-!ihesJ$ov z+<`YdL$57b%-YuW1{^JJsJPHT%WKl=m6w;Nopm%%UuYnjV;}$u>?Sh+v;%0q2}C!y zML*xKGG}#7N(kFPq<{PV{Z0fG99BpSkXY_5x#k=%x0;~avuF9OE@5)mVR9SGPxCZO zH-0|A!^f9|Z%O>95aj&Di}6rYL!7M#P4jElMKQ6n z2%BiD4*d~?xz9?8pTL4BrFILe+-%gwd%nDEZQhrS4U^~@9NfliAPT`A`Bq(xg^)lZ zf(adgs_E`WpyzI+->YtGQ(T&AJvvWu#foJF1O#X=Nc(j5N99ac5;x>(yTxB;EC%wikrTMM@I}NKjn-`)`4$Et}X-u7$$ zw=f&Ewz^S?ZY@=8FA`#{Mfd;|y5dhn0AK>3@KMgePBqpZn(^*Gy{T~%7S$qN*@@@wN3ojORCuJEPDr90HX&>%0 zR4o1+scz#O@B03#LAF4$W?H&)XX{DWwyp!&kG0F+;uqXUbJAaBK5ZZK)Vrgks&PZn zZ<_R=T+cgW%Hdq8iS6zAZn~r(A>GN8=4DImRjls1d;SKvbSn#|duW2*-o8cP-JxQk zHs0t4$KwN!5x#NDhv(zX2cj003c(OM;cn z;NH{93raA=gS|i0BF`>^)#4;bt0-;s?AfzzsDRCc`T8zh!8v9ARPsRUf{Vz+*qEsZ zIR)E_R1#hCooeGh*6BJPYlr)%&D+m2Jf32jf2f1&jg3Dsta9#|>sdbYceq=J&q7X% zwZ4^me#Q0hd6R}DKve6_+0QL_|GRYe-I}WqxPqH%9 zT)tdH7Mi3eKAEQY0$awb-5^c5*;%8IgY+jG$Kr1`Qto2XyI1;u*lDPGJG7L)L`nDB z+S=bkAM#vx4QBk3)s4@7><(wNxa1+bbw* zPcgVcX?aMn=3eM4&9TO{-(A;Gq3-OC9r~x_-KQ$rHo^K&;@>k}?`W0guwoN^v{AYg zo}{_KdjS{)nn39Y`qJ;`)PlnDuDQlw@|igkCmgt9iMwrOZZtbt+i*zgJwJW*esRKU z-oyMC{$`Dj_Vyn{hPZXpSaHf;_ut$anRBOFlF_=Z>Bm3z?D6BV8IqaAFG{a|G_#$L z&Z<5AgXuwG$XfbuWLTzSN8tclRmmT{QUNxt+z^S7`3i37>ReU#UZ)< zvq6zxR>}R|Fq9jXdxbEsV28T?hPYHcJj~#{wHP*Onx{EGSV9E~i&1|nm<|dk&yTx^ z)nl2s<;nD`nVpX*sO+&7wch!HRlL#WQKsqtI_`|d)f{mJdYf;xUHRMQPi}1QOjY$9 zUO`4)wc1;=G-Jvi4kDMR)CwbYJ=-n{dU;=Hzrs32>dcaIhB;~Q+MEYnAwTQ2gm+t9 zPx^^+T`%J976@S>k#iLBHmT0b>y5a`c5bOpUHW2WNAk4Z$He+bWwo*p`<7HwesQnI zO>Zv&!FJQ<)Y;`9DvG!456@hEVtB{rB0+e;Wp1lCf;^U*Rjpan;^mIp=P#Z-(2_g7 zu^rwMr;67?KY-``2j6bm33oK4=hFtQKy!WCw7iDk@L8*}UON25Yh6FLmK%%D|F9XS zVit>zoTVHcti1$FT{S2|DJyQ}N&J$(ZskT0;vt?fSeI&bm{GrylYR^FP#j*ZS`56x zf0{Rhn|w^U;CC_(XalvSj%%+0n}e;!U}dZp4-d~_!Uex{7#N;wg% znCo;glBk6(@F?L9-KoQLy@^s4;wn;iSe<_Gu`}J}P+czqZZ(4|sfTsww(79pPbn zk)9m*@YIavKLGYn+mSi1@y`db|M>Y;;`U=C{2E^6FFIs*{x=o_h4X{kdH+0^1o7gs z-0$~0D#eV0j$e!tpVa|d45neN_6Rf^<{uCDkvAs3wyF;h0WK%?CLZl+iqggW#|I;E zr;qU}nq0v&2%{P2J~j>>WAWC6zerW?O&NFn{2l7s{09GC7Mz>v*!~M%PhPwM?vZ#9 z;ZTwlfauP~oR62+i6{X_M@Ik+H$XiEzS{$E0F#)QR?;01b-+%B1r8+CqmK>RP8xrf3WKig3E>d+0sxTuxkKEm_Y!1%=_Q@gyz4%6$tGS0IooB@`Hb2r9*}R zpfEb;vXm($v=aX}Vr6D$C(v=-pa9p{@-N#q3)`on=O3!TrR-TuSQs_}f*1w@2_zvilSIsE z{dGU8R1wh%NIiT=hd?GdWznAtU;6RK#q;M+zzGp@-b@=(j6%24#ArpBs}ajyLH5?_ z>I>FoN8i;93exbxW7{fH{Kt#e!= zegh*OP&|qCY+Vd%O zyq*O6LPBgT0xG|7x2uzr@UOwaM1hLKgOb)wIhncl`5m~&lN&HomC-UH&Uga-0$?)c z2MUPA#l?l2_xJbpjEua2nUz}uYsYI~lAxYPt^r#B6@@3%>2emZ#6)?TM3CLf4D`@S zPZb+vaMYLrdJzUxKb_pq0;RElkNyA24>+9_XFV#nSFMN7mB?jSd4P!z3jvF33a@*2 ziW*Aw|37#E3m~vFVMcC$;KG1h0p2zlutULVBlPn=n!LE;B`213jY{yf0?zXV!)9h6 z6dcdyd-Zx-8NU5{1$@KkiuECY)wkM>2lWi@Kb$=|%hvBEdNKlu#`dIqE=s$x91I^$ z7PsS+VhamA^Q-u^x2%Y=4Q{pz`$gE^us()7V88Z z_}q?_p+Go$)s>YPz%64Uw`0W5!u}3x#6mfWlVpP%Uj=xC`rKC=S$uVQXix|lFf z{M5|l&+qpaiJ<)S4KT6J*2ys@Lgi1ewpGLFivUBR$iqVG%1@QRx`qc;olsdYT;|>d zgIebD*3}AAKk78Lg#&@W;t=Q6|I5DlFhF9r%%j8l)+{tlxYJRqxBSsWvRut3gXk zOIF#j@PfC~i>+*Sg}8^UWbG{hi|=++N}@n=%WFXo~ayZIvA<+6mnW;)y#dw_}vU_N~pyR zTtne}Lg>VBKYJY&i8Bo$G0b@-a%@Z=%xTASrlR8ertt$XMV=)qQ{O-OfSqa#Dxc0$ zh^V7r`KbZs@^R+~I(X?i!K#kbZ2M==UP`W1Ec*ZY^$^@Q-#W7mH$V^sFwNz*X1 zVJGBZ^kE6=**b;RdK5m_;b7G|v>c3r!!uR*6cbZ?%7t;2B{o;(vj`Y*Z-5`SRWwi2 zLKU@{8*1VZw>N+Pe$&B02V-zT{rJTIBLl4KzE*BfR&Azb+*;7LT+#iV;~$4 z@@v3Ri1Ai+FHx`#&Vtjgx7yd+J|ySECJ&~&dK$DkOr-SiU>8p23-IS$RE!R=A9n4T zz<>va*bs^vgGbD8W(lzU2nbxh!ND?MmFWP&Fce1yrh!Mat$Y~4*0dQC-;^K$2HE7#t}D_)Fy+Pyby(|!;wS~=`}mlCBIfyr2n;C0 zk52m<3qz91lTUoJ4+nDvj36lC3QLWPpe8?*ow(%*W+a|7XNJdqju?UkdYBnZ$pgS=T09qe-O@jW$gNx4lu6rx>8d>_-<=bNfK=j;N^L+8bdT-n2=>4VYcpW^n zB_%Pz=KavPTsq;pvGM0i`mnS-S5LL`dX$uioF*e{ZaIY2Z!felI6C5nPZHJJd5u#N z2^BVB|DqP(SHPPSfmDb(Xkf{Q9H-7gM2$N>!O;Q1=q`apT7nZ55AYnEMOWa7gkf^t z_Ct=iWGo74e$=q{8t`yfoS{#FSbQ5os44wyyg4OX2mISbYd~wiij1U7z=C&AIn4tBw=d8d^^LmhZ}fcbr$cwAZ=O^74IlQ=M$Y3BQpc`o;60}mv>bs`{XyKdxDgXwrwh?eCP<)k!kR|1 zDmYImVdbw`TW22qB~up{YahrY2B5G#>iSF+85Nbvb`egk<`RgS9|W!FL7j$^LWD9y z`#T$#HRkmT z#Vg=1K`lX*_4V~5Q7{YLZ)e4ghd~<$W5`^b1$bBiG&E~HJJ@rqsjC|U(cu~tF$g06 z?(%go4zEBzM^#ss%8~|b{YCHr)`={YdM*qUfZ3V0p|$mAI7~`QpQj_IghWN>fUxxl z0`Um-wW28*RQz}Eph&K4Y`i76j9$Ayaa;CA!^ zN$49m$Utocjb+RRh*qc4@K}Q3=4Jx4_+?^dW~Yz?@+!;tI}KVO9&WiG`T!n{2ipeg zl`A+1_&zGTyVXq2f?FG0T|gs#k9D0H43seYc{zYVf*yQSf{$=vCkA7aMVYv7%&L9q zer%dAmzeTn@+ILJru{+G3}Z1s3HB9K_h>J3wr9rVkY6(7lxobG2Pgb3EHu^M0ZXSs zwqO`cLjw4nWN+V=+FBeOU0e(T&@`KSiH%KCT3Xt>{tvr;JNK^7-~vh=+uRer2GNfV zA}tZj%}XC2+#^v2033w2_x&g?1LYe70|UomAhu&0gc^6ls;A#)??-G@0-6j zHeT1)k6#DZ#2GjfUZBJPJIe*HM+nA6RP=;)9#R-igj4WFKG}D;$X*gj$cywj3AJSvVc5{6nCXT{UXN3 z7lEin*=fMoa{(A=r~p9O0W&lcFARPq0U=7yH~X&{Z!`rELher?O4$|N1*5Ut_+V2G zu+1`-)wQ+Q+}zwR7YgZ|Se)rISm3gQa zL>kU(0X!-9$xPLr^qQ666Kh`adA8ZeC>ZoRg$7N6bdvW*tSf@FA zRF5`1JeG!)@G!i;xHww=!>|4wjp5hhiqaaDctZa72SIUc^dGVh)^WwFW3lKbh;#hk zbVtGnE~DH|JWvccALeFG|jtPwF++$QF$)mORhXl-Y5TT6{9TwKP?Ip4&}U5V>afLpj%#=Z49j zAPyo@{sN1A`|oG*mB6r&eF3YAN4J6 zi_F-#mEX*(lQm3hz7@1>-FfI1OG!2N%&yMT!q=+&(G{`Q=5goJ{M5yc?cgRGNjyM_ zSZHe*4=*oxO1z-_NC4mH-H-n@KtnF0CYKL({d`o!p3m`vgdPRxUiv3MmXzM{W(9%-TW049atbaKjt~%bV9ya zU$lq+%t!ZS?AX_n_H%Cnriw3)$GDp>4=@ms`1foFa4HyVY72A(O^7MaOz2%zzqm;!6!Z>EOijrLgKTfc zMdOG^ScrqWi#b2kqY+VX_?p=Az#@3yO#ZUz+gHjNQP(_o`abN(T;Zp_6moF7RoI}i ze!+Ud59{IVq+ai||A&%2)***Pg2lnSno6w=8{Y4f1y+6El5Pn|ztpx!#Yd* z-6@6)XU@EWz0hq(o!zTiBD6k2#TBvw?Fxn1e}I?yB4 zV2FQ_CU#3VE*V_ycasVGRW&tf5L8n$DF*@~_cFK+z}X?(%)!Bdc0lEIsHY2WSOW3g z(A4ziGYTr~WR1V)X`kvZxN~EE@iVc7{b)upf+z-ybdyqsH2$8{7e#cMf8`|7bPr=?DF2j!QJkUN-m0DNMbcI z>=n;F+cDl$mybtJw5YF>cBiPBR**A!g2ytfBJwe=%F}V3V_hvmC%klGaq$!a?qD!a z`S3}Ad`~s~9I|R%;b|Ea zy5j8O3L5?k#RPXQOI1;Y!x_H`_Evss?vMj%MNyw&H=FA3wE16DIEkz4_pmLpFmdgj z(fKUK(W%c$_}b8#{Zg^ZJiv90t~JuS^7r|T1VM#hPN=UH((lck-)&l6S$PiVcyn=( z{lXTAmMA7c%?1CKj(sXBBoMR(1`N1(cwFctOO4mTetHP>pT=wCOwBg?3mrNIU9!5Di zI#~U*`NHqr(3D%(r*h>3j{sg@IGe@;vySp{j&;|oX9NUlw|74i1<_g87oV$H9zreE>qDKO+yo2LBY zt3+$|_dA;_$f~63PVO+Y zx_r_34c0}}r4cdj9C5C%el}*FfhF%TnzcyJ1YrRHk)@9b1lg+P}&0TZ6&oMgLDbM|a7CysM}gZa^W zI+Ad$ekf~XN`8hmlAkB$p^vRUvLEo)A44C4YkCtqdE`eggLx#g{`F(5o&z4>?}z>q z>Ci*j!;5m}qRT%-;Jw!BRF(k!{qw|;V<3`5;Zf!5m7ZSK82#_O^k2Xb71BtbC-@&o z=P%d_@4~0Aaxp zsrPP<)%pW*A_X-MH&ABa=|G?lY+PAG!xxANSqrq;5uyOJB(_d)AJ6QEFSP$wvosHC zUAu+=Udt%0eZcq7q1m=%YL&KuBHtLH6Qb zmbi~CEalfEtj+{8>axtrX zEnSYh6YC$yG^y45){ah`)9vFR_O~_&wGnhnSJ+If$oBJFGZQ);pTeB$;vV{kt&EF zf&OuaL~Y})ucix$Bsc^4`B8f@95(*5L6^b#SPfM*)XiYF{yJmrd)semX_m$78+_f! z%*@He?Af}2so%fjVq?EeFQD3NU0vM?Qnd_Ctv>cJIkYL~bM@;Bd79rjZ}2>DaaYes zNts?UF)&bJ56w+Jjx7Ik$3^2gXsHD=KiDZ#W|Vwy2Q69gsOLF(&_nPSqdD5P|MSam z`da>VAqGnsSk>d8i3!>wufr*F1KKR&)T@T`Xm>xAjteQY{lY8t0!e!(RbJb;Ww z?|nez7Uf642cKZ|sq0xRZq5IltK zraizMjt@6yNLgB50W-$^t~k;&94sujaP~XLCngLdMIBE=E5xJTOg$oLX+s+HrSt7( z?!pxn#DI$*4VQ~ia%u;7cz8sd@^5$qt@+o$1>V#`463%Bo!thml%f972{!)gA^e{O zf<5@ZUvpyk3Hq$3f9;lnHO>JLOo~_#7VfEQaZ1p8ol_+M#3OJH-OeAuDJ2Dzb)erI zkk+uKV4D4;Jir*=1Tt(6A2^qw*#iE7y@<*hkUXw|rW3a03|9<%5OdDgw%EAU4uZf~ z-b$nS26S;iXqR+z69=*9IoPIAn;bx9qkc+q@^Ah9{pWX|f+ExS3~~@?gy9@uQG+%} z^m+@prvxnpQ0F~zIOlW-Ed+2PUcqf82=Z0C%nvMk)s2m4XUX(H0p}H+^2-)EU_M5D zv7w=4AU=Acc9nFW4m|mAQ~-iY)_}(3fC~;BInPa9|4vOy-)@@2PPIM8!P=N*sX!F zL~kg_C|$*eu6exJ37JL@46Nlbe@^sX3Tj?s!XfuVSIlJRhj3@d zbA^v^2LjsX3H0d=bMwn+`@7(f!wt=H%RymOi`s@|vj$odeB8KQNs9H*#z_?9PTpZeh4wv>oJ901dKcn|%Knr@vyON@!SFmKJQP79w2P=*TcfEXXZfm0gmR=va zYT+ZIqM|iWrYHUe#VH;dzdFmkNaBHG9RnqZToMnovU7+pnEl?sVF+S4>X)>j5is`!0d#I&2J#UjBPt)Gd?g$=ZnRnQ4ityr zz^_~(QSJtTCZ`)j0kjnjG8+Ieuf)W~fkCjvPT43ZoC2hRcAD}Gq(BZ!)Q9F7eupT~ z0FZCcC;KVX@cA1Xyw9h>p9*4(0Z3n9oqH~wPzn7*{%zvBEh8Eg+hhJb65=qqw<+04 z&-gS(x4eS}v!vA9zd+1u2^W!A!HE$6}wNSyfKQ1#UIi@zxeFWbbn~1 z8UsQII$Y`iE^(Q5o_`3WGO`R^Yhx0Je~3|52GYSuAe@QmtE=dp6p$#;Ya!Af6vz!g z13okI4Q{u9;EQSo&`S^qa|aGo^cYma0YsZVVDU!5#;lQT_=<1ZVsCq;&|!rMH8I1P zMmr8WIy!K~hM^OT5qi+j-V5;B!lI8o!KLl*?L7w)GRo`2{By(j2;piB$Zv=T)UJ#W z2Y@iHgWfN1*p0fN@|$uwmAiIXM+m*5Nr8r8~2! zsNV{F3eacOQ2`==rTw4P-*CAD$&kZ15o+ZCF8d}VLnPL1e+O+(LZb=vufy@BL(uk8 zRC`B5?#9MV2yiPvQ-Mf=d#%xC9ZbLUkdbbdJX=89PauHQ$4>2b%5&<$ts>CSB?C#y zW_?;2zM<@P3GnRtZ~@BnV2R)hPft{vj8d6{OD#MhN}fhj5H#1cC(2Vn@RZLwt^8fZ z*H4-fU{A<>UDQqSf879va;yJ)KK*}v=#bbb=gOQ3> AlmGw# literal 0 HcmV?d00001 diff --git a/Fictional Character Battle Outcome Prediction/Images/__results___25_10.png b/Fictional Character Battle Outcome Prediction/Images/__results___25_10.png new file mode 100644 index 0000000000000000000000000000000000000000..0ee6834dfa3a5a1a5ee9d410c8b1a38aa396ff1c GIT binary patch literal 20239 zcmaic2RxU3+x`!Qj8NHIiX>!Y@0nx^*(+qP$SyNml4NCNW>r>32#Js_n`CG2^*=AV z-{*P$@B4n<&*$m6?>m0i@4CL%_dL(zJdWf1K2uhd#mAw*L7`Cix8jEQG_@Mq@GeWZUX*`vLBEdJLVuX)AxH-AEODJdz_ zlD1qy6axc8uCBrs{P)#}mgL~zuU~EsUL+!l=ez0wKf2g#ssz6|`D*c5aIgYZj4%;V z^fQwZCI$vh2ZgPSvO95X^n83|TU%REEv5q%PFdm|KD%pXUrjlsWMwHgs+w3iI0&CS zd4efups09WCX5V?l#~>H8b&KRYB+N>ZNAymj^TMs%<9&VT|;v-*2|YKm04mf#%hE` zjt`uMYkg`}3#ln6Lf)HqOvWgQ)a`99tPVSMXv}Zsc16)k(#5pAQD;C=vzCIFfZ*RBb!|m1WF(0d* z8@m;;)+8h(D=RBvwcdyJM+dv|`_?}Ne2#=*&FpvArsvNGFxID4V$dBPt~3z19d7og zDl>Dqtr&9K{JeDb>{-4?i)5o7%fbh{GbuZ3t?bvQe{L_2$?ED-i5#p*`UeGRe&eaC zs@X2+#iPEkr)xo+U5Wncd2Pu7h{eX6_!#$U_*F3nJ z^Syp4DJgwR-bcGLIC{$t=c)L7A1(bf`rQ_fDQu_h>E*Qw-)q#K$WO*;iY?$WpCNL~ zWnO)_>hVRe?04?YThF5&3Nc`sk@UGO}Rz z&3O$SDn@FBEg7~eSI!>pZTiK-HurLNUgc=_oSGMej zodwUC|6x5&HdXnJ*Z$THY?eD$_QNT8(_|xQ21;#oV!t>pj|yw)=t#1~!LH-A9ri6O zEUatSR98O}E5A9wm!*^v@jZceYN>3jDW1!mF0Pe`lr)IF_Ta+Bs|uYv4Kq8dQ^+I# zEVGMz^@?m@aL_W*3SR5ZuNWnHy@vXFbU#e|E@rF#0&0ElU9$stsbu_)8Ar4)zG`7} zK1`R5BtdjckkV zx8cgnm+FUxbn^8+-P1FN7liKH^m}^xia#L(H@EuXa!~At#{(Ur$EclPKy_)3%^j>3rKi zFc8PX!y{Flr4a%~%GTDlVocM*BD<)#nCQok9}=m`!9!(sd69>(sOY}1m?{l-MDGl#rWfcrJ9k6$>qhxMX55|5h)3Yrepq+BdnWuQ&OB8yn z3XvqPrLFzUb<9iCD_<>3ao!1^Mo5eKQiy7bC?B5|A0J<^&(UsHTgP@enX0O)KcR%F zscEoLL*O|kCMF0FsrBFArJbEWH1W%Oi@?8M#3g0BBqAbG-`1v(DB`vEY-|Zx4^(h) zFt&=aGTrN2HY`HI!qSS0ia8yIMn?3iYHBHNH9@fl!!#~yziy+6%Zh_}%@F7fMS@>)YEEAwtz*kIP}xe|gPg z_3faYfJP{LbLMgvaZGh|o=#c8%IfNmN^e*~6rH}u5>K)9Am>epY&5ZrKO;IPFWI6e zJKFxyBNAHAl_y%2&N&vnxv{W|CxmP17N~ow#$b-q9FBeErL>mKf>g2SJt`RTl|kNeYg3bqsku4sojZ4mANI0r7Oze< zhc<;%S}}gQP8C6|RhV#w+9UlNj&*%&TgK8w2fu!p(W z`_LWv6P=jI>hBiSsi&(el_cQuWuVxk@muWm#`Yw^-ewxbtunhYl0Sd`q}@%pm6n~2 zEF?U~85DeUui3k1W5XG_h{~r&HWM>5SrPP1OtO&Jl(;Rsq#)NxD!k$lXVtILLUt2M znW-SiN2I2vroOpZ)^l$z%Xp$bU=qG;+Pn5}f14C1Kq8ESM;=A^>CsXbUvfgibyikZ zDP?8liWzsUmX0OZ$&>JhL0DLiO4M5yxn@tU#+~7E2gxZx*vWEk`~1}Tg4^I6fvs@A?;zu&7QCr60-5=?ZN`x}!|GVEFmtn=Bekk!wi9DaQz zav6jK<}Z;-7<2WmYFupWtbeD-VBA5mJ#75uCcS$l+w1EWVP{YFz0;X5f#fXtDn9-h z1YTU_XpvC^cl+*qUSY`nj}L{nUK994Jg1qoDy+U*={(2aPncF-u2o)M9<2TTLF_K| zuj%P$larIGDUuNEU%$$^3@+Cm>;KLUASAdTfGRd_4B?CvPFxHioXkq`zJU7DOzXpX zbhK}0WM!o@A6edfjlAXYK$>*u8Pw``-m&af92^`eF)`nwj~|H#2M6an&WbU|%7-)N zhQq5>dH>)$=kfTZ$-0h9zGR}_o;fCvG*p?^6L{@H4h}pwi=T@=q#c>>dv|?uYKo_w z%lp6$O^iy|U0v_d_8+~8rKKD5y?I$j{15lNs`meUlE_idJ)UK0g`CnnDx`6(po!NQ zz7(bW@cg>N*5V)r>J^_un#^v-?HJUXp5dCpLUsY?**BwwYFXzgcpj=hoPIAN|9j7M z>8HlS&CRKd%uITEdNj#EyeH}D>6KNF*MGasWybZStQ$cN?;BX|OvSJrsmwe&|M8~b zXB3ryGd8?kKKpT0S9dr3jW6c{%O#vm^!JmK#>15^xR5g-*ohzuW^VEj<4DKn^|fB0 zq6#Y;^QMfBj-Kt#B4E97qu6m;{$1f_wy?+6=f=jfuyHlxdb3q9rkcVf0T!L770Fkr zwHvF+R?CV|>@O-U4gC1=qrj1D?187Xjm;hE_0?5z2(+Fdh~`3v;jXR=kO+dq!yA=E z5B+1WYa#$;d&1yX^dv+^)771J38c*$NcY~qjhPpa5sM_$s-nmb7 zxe8E+6>`+kQGZ6O^E3{xYZiQNYs15*;O=C0b#Qp%=Z8_CTal*nXKqe=o{Gn+@5|Cq z*>y4pOS_ugt4N(Bx-9c~aF86zc*DyZI?1ng?o3)k0Oy$8ea&45StWFMST}r4R`kyI z*F0!qSsh)~9S4Ctr(5$qIeuK`?R3|# z-&wGN&99l&=$7KOMNUOc9UT?r3lG`Q(sFyDG_ulh8YlVjZ}M=B)z5y*<-c|ss;aA9 zYMKB+1jAN@gmMP1!@9Z7yeoN&i788cNbl1l`dhcQipzvvCnQ{EX2up57soz-z6l^! zk=>YxshOD(+!jU3xWW8s3(sTwPw)IbT`ueC z0@i>3jz80$)SZ*0aJ4&kw4v;#umZNqgw-WdQmaKBZS9G#(U%9x>}UaY-bmzk!bH|j z-+eAq)nzla!~7c5z0NEpT0j9Lf{zy6tP5$}?8o-LJiGX#*hJQI{X6f@TviGpC1og5 zW*3O?#_P7zL%Xw-VDnI-d;u8G_uMn6Y;uQs2U!Zwq&cGT?cD_X{Vf}XcuwhbMF1{P z8dZKTyJaaR5nj6F4@+w0br+t6`(Y2ZYy{PhYxnf{`1z5z81p$629y@yheg1^$ap3- zH8u9p-Ly4GY!z_^-sCMUEy1Co*UJh3wyCoav*}f4s3b>6KM{2O^SQOP)zG0gU;Co# zpW$m7M;3O3sJ6DY&dfWctXf4V1O+mscs_*`I6hwIXO{elvHi=JFRIN)dkgGP!YFUu zy0z!!+f2q`h*C@u2?vy$1{gl_U75?mJ?B5e7%gemH zq>@4B10d*S!YKlvdQKt{va*Xn=ee#-RiDIz&3=RVDPj#>-7uAOnL2n?5SA9BRs5q~ z+j^dW%PDGG;k&W%@V-nm1g!$RP~UMUxX!}TMRsjvZOwggS+!;L`El>oepKu9?BIK* znw?49O^iZV#Gs4}MpWQo#YIcMmeH@($4C2ssp=r#M@2`g%)0>`MtT?&L0~GH;g2+F z3KtSqEffj?fOV6(2DKt3B_;O1+sIwC@873*v^bEe!p_C@UVZ4fNB;WydaF=bUf%VC zgM*?+OZUTnJ^nMye*lPJzC)W_!1Yhq;CpiuctCpxhsV~!PEPBp>6l~iKso*zYqGbs zeaPk>etU7P+PAMWAu-CRs6_m_B)V1YhE2Eq=XL=*M}huODFReSS!WW2Ui@O(kjt#RpqD=Bb$0KFj9c4PJj z24L}Whbc_t4VHiUWX1Z*y$1>a;e`uNeSJ}Qv?5f{)-*rAa>vllE)o!?pI3xze0=;w zdZY+T*=Q?!Z5Y%}JZgbUut|j4lZ8X^DQ|rSSdy*}DR5$Z+?V+Jz0d9K=V3doY;X5J zKHC5M1Y>71l%2!rx59^qy*Q|%2j3~qU}75YZOpwAbS+Sv!SIDmX*B&U7HP(y9;y`T z3tNv=64xHA;liqBY}R+mX1;xE+!RKR>^*(2O%0cd@Nj%&V{OcJW2N{URk%-B1f8cY za-LHSqZTCT5Lyr0JLe89X1Uuc!!7FpRE4hod}Lu-8UvC`P&E0e<(|7pqlOkMpShax zIY%uELBP^-a@deiuw-Rrk;T1s?HbYwxJT#@Et>#_`P$a@C6v7e8?uIOh2z;fFIk^J zo9XU7*3m)m`}gmivE!p4fIiHZaH`;m-QN|{xu?xnll$ULPd0`c|N0u81{+X8LSUDjgFYJ;0)Jv+V)aYVywLm)of;a~g(O0PKfJa-Kjc8@ zrNPf96YOfPxh#wv9qulKF3Fs@J*QotFud%fZr}cts=d5?;gO1 zkYr&Gk*!pL$kCsgYlbmF%Ps7!Q#9>sMa?7bywKlF%+Isr=jThor=)dtb>qw0mVSP` zv$MB{gNqx=Nt>(oGN>aaDd`5}6e-9;QbtCpGS%lUUd86(;({h}`%A}4d5WuyOdy$n zb2ikkQsi#op)$SCEA3G;w<33HZEa2CL3;#yh!u)*V{e`&&o`wMksFul3z@D!>wp(_d&1l$1nGD|%bX)Zd@5++&*!mR`Qv^lQ}G+8TiEH`|YYIr0P0 z!6#Jd<(xP50XD+T%}w2vOiC&vtEWdD!cFsA#roRX_>x)Z2IXF@ZY$s**km$sE8zlz zaYD&!-*ViQe>%!MRp`#cPtb71mWq9g9l#eTOzeG7atjb=ly^Fr=H!C7rRJ(`w3p`D z!oE0Y0pDnpM23XaZ!Hb20yMAt_6-LK&ZF(x;~aw=PatBNMJPO=D?%6;v=@hy8FsaY zThG|1++V0L?LTK1v$T5KPY^Y0`G7u8WrUtkBl*}T&`Lw0@#oJLLo3bIh3q#vLk&R$ zmswfyY<_+aS5YAn*%`+;gM~E(6bGdHCqY42U0q$=Kaqqt@9HCD4Pa-s?_GlXSY4fX zmR6VmLZ(^fX=N+tH)BkO2IL;d6AXTGEo}03cIHk@OeCbGjf|ictREh(>cLHfGVp|V z)C~h*CB^jl^XHX3yB|CrpuWn$a9de?wi-?B(WBC)w@X$T?@LNhsECLNGn&ZANLdL9 z^gsey{dp}dEi#0(DYY3g1|~?L`X{*|!qs&>gWCiKp;t#;UA@8vN_SHvZ6qvOx@GrU zvp(&Q4~buMTRxph@zGBg;^e%bQ)(@4ZOyv3wG`?)`WOqM{l~Qj=cg_bMKflt|3A+7fsP zAklXVJlX;-QSL%WK&J-=DpNJ5I5uvvp`n53;zd7z9U@y>_3w1bCP%A1$b{VND^eQ9 z#%TKs^t#>mP=+1APiCuP({nsp)PkNF1M;5xqRpeve)I>BUQz*tPbc#Ni~+FP^H3`F z3_@4lu5SokWcjI2YGhe$&s#V&kLA5*2 z@W==e6_qX^=7&9>OUzn1jOx!|(|5iR$3Sopd`r(YlK4)S!y`3DK|xArvdg`G1QGPo z$Mp7oFRYZL%jK3%BMd6S)z;Rg2pz@CVbshxn8pzlc5EE^#Nx)QnAf9q9oGZ+TE=r4 z!ePhUM#u}k?dB%!B|SuWJ;LjRyFFcE_2b&P?olm-&y8lhv`|4|kW$(kj*z^Jsaj$k zWuxS5FLRstPkG*CWUbI=PI%r#9L`IUZ#6wk8jU{wmz5Jhqo(tso; zB?03SgkVQNhd`qF>az8-kRX9gG)E^WsAJOF(b1o)ckdnv>hq5uD(Rlk_aGe^@N6NF zDJI~X=1m+N94z|s$>CzXW)LINj~?ARI#^eFXY$~5O|P`Q=`!J|nLpN?@^Evrc+ru_ z57#GBvdvR9I@no7xP7=@E*mXCeW-cqCt&tGu!@4KxWkMMW6^ zW!I?|()q$*D`jB(w?tDvGIIFL4Ve%|9fO)Mw7HM-?AfK$o#@Eb`f*6IHL0*!?OCy^hVZW%r#?oB8ClkKW6dOoFroiF_E z^is@$c#ZB=Z8HCrgdsyFxN4rmz*K8I*`?~|($dn91OXeQuBGK1(%~2zr|r2tcyP5T zf;tp>Tm<1HCnqCq4!m*h_RBFX@-~p7x~`FIEnczhzQA-)(u|gK8|Ui{jTNsyG=V;D z)HL{O5K=jg{(Ji`2e%qxugwmu*Rh)!KPA4`;n0xD)fd%rhGKW5VI{I4{pkH;jV$)@_IA*VnL705@65oReWkpI z5wABgyPTdR7uXQcii80m_+Z(MDJ?C%Gww%#?85b#j)tZtOu&-On+yG`gXSr9{r#kx z1-f<65jy~2guX{(O4q6{UmV)So_#<+0*!0xjQeJ-FO5d49?K~y$%c~LD1ye}1K{7v zhUflV4yCjFzYMrHJ_SuO(Cw*ddUn=|)Ce4qvcA*Ep1S92cd^~_!{GYe8`gS%{BN<3 zo<$9J@H7NrEToUz(Z)`3!f$Nk%s*~BOM5;$(oXT{Tqs5FYD@692UZ6DXFst`v^nT_ za(~5gwT(|NP(pJoY3p@?3-7G+Qc?{r`JPMB%WJY|iBgXe&up&xRA96HXC$wfmYNzL zO2wDv=5!!pEPj5t23YK^h<>fNm*-jw6B)M!VMs`bq0y>A$Rm4u-_X!I0Vai8rnL~V z3W*rsf_le==O(GzGd#RIK65g-cg&*DyEtvfN;Jf`?81d_mtpOGM z1K3X4tVkW*`7yk?{jPp`oi-n-p=v{rbN?tFN-T z9ZdE+JUlcJ4P`sJ`)b{Wvn|hSF<34p&m2vk#uIm_Hs9~=oy5+fMz65=LjoLJvw`iA zDGy!K13Vt{e`;C(TTNOLl0c`K_6d+t%xF5=+hrnYgvS>aLVtj8&;q4Xt$qj$JLo)C)~0-SMD3enYx6m5c4Ijs zXU5_t#v@)+RPQ}sI~yakVx6GN8d4DqyF68YN=U({6>E1pe7i=S^DZYB-CQDZpXYqY zFQ>j82gw@;<;5iKRgI&QQjI60gjCTTjzf()VYd)P@qQ!t$+1!d#s_Wt0aueQeI9@3|h61 z6e`Rr@BH#VTJ;A)S>)v8mZrka$xhJSM2YCwbyNXkXfBrX2@hzkw4j~lTs(xVzXCFgMVMB9jv5w_ zD+ARYyl`Wk1$u&DMqs#gi^S=7TOG)PE+Lt)c^xaLpkZnPQl!@mn)UtdWmz#Xv79}e zfV7^Kb93f%SbzA6Mu^nn^q$1N!-?l*je6VwKiL<(=9qZci#hU5>uXQRl-}@n&gL$H zVTaA<=y4Zs-1K?M)ON#{WXUOaKAq6gY(LJWvs{C1FZ{c&PPM1A_vWoif^T28tsdqr z4Des7n;G0+vEDIU3Xwe&+7a@g-1m+DJUqIw*g>- z@&$Q#0!VH?k1bXTZi_c6OgucqC}qI72#Jk`hPJZ4-T*pZv0)v0TOz+&mX@hR@Ix=u zIH-9h%ok8`c7WtVsjA64*52erG((_m=Y!^Vc6W_{Wd)*; zy^K0W_%>RMaC}Lw!d79^`Ch@nWjD)km8<(%lTFzWZHOHNp;AoiSvW5pTR>a(hXd)k zJXqWj-%jki+?4Qt8o?91@-K8V{1>G~IhM@)&y5<|p>0auR`d7yCx3yRutz(>S;X`G z1xWw*CFo5F-5ISBh;{%ZUmUHbL?~BNhC=WV z2*fK3g|%tWZS8VV@#0V!L3?{U5+s1jZvy)b8$paM&WiXiH*f`aV`C8YUrpWo z9`Fe$6tKG}F;7n+pf-svUCJovE_X0-b9ZN8V>^!`1VaoMBC_y$Sf` zoK5pnpwFRRvc0n6TU}l49vTwDvi%d1%~W%wEbyj?MFb`0?k)fWmBT<9BFwhaOoYr~SQs8O$k_`*l>)VrCtsV$)=gO`0)Ac#C;lU(4hBPTsN;m$$9tiVX zOQ7LK!pK*^x!*WRn-qK)F@dV`BZj~DW=7gnT@TFi3XvlIo>_5 zme0&xxe%O1N9c% zUJym(LSk?&KSIobuovwuN8le62h#O-dlGJiZULJefb*K8Ju5#nSb;`~g zc<)}pJWqw~pF3y+`?zMt#4(D%+_uq0FbDSVcp;YWqJs7VtZxUnW7sGi7YBAhiMo`Kbd z{_54YoW_jMRML8E{q&fQ)hq%I5(#k-1t4Q!vgwxl0zoj98K<8cMh5)ZhUQwIpx3R- z8maq>g3hzP0|Q!;%}8q<`=*|tm;dn^BYXrkUMJ)YcY#lG3G!p=?OozB0j7P3>{L)o zc0f@BdmT7ioo3D_`y4&C{`uh?n05jqqJx9wd=lUHj{?$H*3t?F4;CF4*F{jm%Izo6 zfjb6ckqY_E3vf*u=RbqABA#T;k+ibuGT}XD5MuQppmnB7Vx26jDaRgLNlX{IFabd% zCvCEtt}Y%gFYoDsS#Yizc4t)=cReQaf&Pw6@DZzGvQQ42Al&_lIJ-4yj)@-ubf4i4 zLn2e2_WP^g0GODa4NjE|VgQyGFeW$#;D1m=n?c6nupTJ-77+&@V5Z`CJOgG6|AYie zQ%>?ne};1$bg#z5R)7UiNiPey;>-viFcS$hr}c6ifwRR~WCJWGwr_hpL+`1NKkLKPC$$ldAt z6ct72@9!_PRUR4|+H?esTxW%o`OeOc#fzcA!Pwlq>q#?C zPV2pc24oAn%VM{Zs5Edvoh4>>5Y`;2MJWa|y*uFDc*SXkgWw&VGTT@IeO=vrCqm?{ zw~Gny%LggIJ0`v_KMoJ?JbXeega}b-%qU3Bdy*^qcNomp_BhKkOsM zmY2X|2S_|AtUaOt@6JO;3}+!+nA&N38nI;{kRx};lme7 z(6NHI7g5upX9)*CtqEw!Ux7oMI}q4jbX^_|M|L;BJ`m}pfviVZaJR>gL72rSBdygW9+&M6Jq`Igu1&X65R_eyY;O_a;!>-26U$L& zfc=PC0gsCzIC?9SVUJ`#B(vbDQO)U*+uDO?Cca;08xCFc3mrrbfR@hQ(XnfeLV(GG zmXw*Iuwi`gM0W%5EA+;SB69F#0peg)-ow0cYI2cW+JV_X!0IJBc`zq)KwLZtHOT;*5 zZ`u6xheq(%%uK`35G9yZl~ZI%Iq5e%B$ojKBkB<*KE)dl4)+q}&A}K|R94o!6e^

1gP^Myv5K zKUR7s`7j+JWv8djg0cq`DiVBe zIEd33ygz}JRbVUTbD4i3?splo_2FEV7(0+Jz{0X>*g`)61{X30P~jN-rqG3{0d`na zrIdXsHfaVb#3bqsEDB!1uXFBu)-v)lrlO9&CDfR;b0>B;r8AxS93W|r><;XMKfs%cDbCHxySL?xJDXBA#j*c7W z;Ro5Oa&BZ}hV1p^u=@83^=-1d;d`T>kS!9IK_CF&;O;^41>PNabxAQ^U_s^H3Lr#; z3)tf~z4n~_&dR{j%T;YEVgYiZ*oTlrd~<+aKrFK^`i$HfhqL?^fM$@Hh z6d=2qiV584l7I506#r=Uz)&jd7TSTN!qu%{l!+MFMdjcP;KOK1Cb|I%HrQ=s$PN=G;4XU z7k49qivKC#EyNSX8IK41riV`iKpl)cgaZb(rEuZo;zANA;9syq8}6)35W5qED{c?+ zLiHNJkr6^mzIESi6RtucSj9iCeKK3F>>BqWlxz&;Q5!^}1lc)_1R%URuDuAQowNyb32 zYL}cr41{1Y!-N9;&g93n!R>{90%%MsxdExUvyjaX?nI70C{SjW-~9T~Www(Z)UH(M z7mzk(b+wr`9hxc>O_gCg=-x@QXmnt%gO`lN0ODGCSD3z;C_J<9Eck0S`RqA&8X6kN zRGM}wDk{V{S+Fo#Wwz8?%VUwphs!>EAeF%l_mmZ7Wo5<98|r9jAvqYa+3MYaItUM? z`tno@8ZERatO29gybrHcA0Cue9GX{BYfbbpZ=ru zfWuAP)3d6w9i*T)syXA!%Z1$)F5W31#zd>+PUwx#O?=LUGb&F`~&N7H!u3 zd%N)T1?lXGZp|&{)}H+Dea4wnE!joU z+T(!8$H5B3ryK$&J>5m(<>ZC#(#q5Cvj6+zlUtT(dFbhNOYgr!Ns)UHZ`ah`zJWK2 zSU>Q$uEYCt;lv4?e1mr9=JE&{DHwaIe0#$&Mbc~D{Z6=UB5&JH)PNnm;pQSdT zd76cY=||5NBx>k{s*O*jwbWdoTw`Nn&%#U;78X|c8W@EyeSFv}0aloscB4XotL8jy zPr5$}yblzj!1||aov{A14#srs>;!6W6~tkz1eDC)Y3O?;!T2-|$Q$~76EMgkiT&wW zTxS8%Q-UUyCT?M3B2`5MjBZHA*{Oo+;x-k|OXvR?;2TfGT_92qmw~#2`5a^hM@C)! zg`$rk2SPN>(edzTq;J1dDy(7rVF2bb=-NB^?6eOK4^`CF{afSM(?Q<7ZxDnuxfyk0 z4LkCgCBqr{;m@Uf=DMy>3Aqu%ld+WDg-`>>>G-c-8QmXGdR@-kweK$c{QOWeRhP3e zGUxycf@j9w#ibFf@`1oWLg$4EB?q)6EEJ!B02tIR0~Nxgm?#F$LL+nYpz?A)M2-ay ztpu>ee>?5$3oz|+AxY5n-f~=9ZBSq!00VTyI*a<;(V>(+0tJHzv{(SuphH0RMBm-r zUD?`d@;`Tx`}gX{Mub-CqWj`^H)Trz3?%+;5(!My7`~7|C!pKxoqHYGaKbzpX7}zi z1%o#PnYKIG$J}x|#AT*-n3vO6AdB(c6#?J!OD8{?^ zbx@xpZ#$Tk?(eB7S?^ccY6Qxw(|^>(;W+T~>3r*S>(V_I-P-)m2ha4&otrR0Gn#Zc zvsD=`U>m^98bv>s&(qiDA~|W9@Gv5gC9GkmcM9^IHR=?!50Uh)fQ zMH(bVN54f^n+xR?Xh+Gk<9U?J^l2PRj`v;2I}1L_B+Lkm)a_)O9;~VDD)}Sf_EY2RrI##K0&AFQw{+_}Nt31T zJqUjomdqmmEpIiCXK?2CZ|LAi$ZlDafv-|6DYa8l-)En8SRuw_q6c%nB+Tk1g^TU+ z_5J}n(ihLTYFVO_bG0L9EjOA3$#=Hh@!L|=mGoXl=k9v0`w3F>Y}F=CM?@W!jgR~i zx!`S7!Yi-gnR3{jaX-fEw2tO-onevu#8yV+(}PCKdRyv!>0o&*y=)sM>Eg(u?gOu& z`)4gE-LTfj3Jn^gFK8%yiYp=X(RxOpc@X}4$#KQb9sf&yo*yl5AKUvHX?)^Jf&)^1 z?cY25RW8J`cQQoNU%&6@=#cgHu5my9;ffPuRPOdGwb|F%+F&X0d+W%LBJJ}sN=o7? zPw@61z3|?ZP)Qij(W4>?1xE~oo&L-RZ~vH!u3lSzfUkSEiz-*)Zm9%y|ADGYiWeIt&E|TMYp89Z4r8t&-23>qE8jP-2D=G%mJ(*GjyHZDvKYuhSJJP}I* zvKrp$(+F(0OKm?np4|WFf^7)Z52k$$`WH#N`&i!ak z3*(><4|Mz>qf6CCwoW5{tLSH3xhLR`_{wzesW5=ga>5ZspK$w@cS`X4a{@39sh|FPV640^W})W>)%U$w@EZ&Mxi{#CG*F;UOy?X{ii@76b4Q} zu*3Ore17W(mc2LN?tyt$KZUCeKvnZJ5TSEDXhW<&&|)GJ70}mP_OyUS8q7h6`3Jn< z6AeL^VX&>4pdCr&sw!(|guQN2|2oZ8TBX+7@y$?TLcu|A0%AD=lffh0`O!)fhP84Q z@Tm9*VN#L_z&+xNgj+BKa4+EFd~%-}Pfr=97mpRNpFrwE9P0I8Ge$=tC>o4e#ZEJd z8vx(`Z=C-ZE}ZnPsHmi*cg52)GYeFADXE|t!JTRHQ86)o&<$*Q!=qogZ~@Q`wvv((%&F7R`W)Ou#*ExNJWQa%z($Z< z9<4@0!I%?bRpEekKVPdD9Uu=j0f8(GBRJoGMu0$@Xm$0~>$XbCLeF5=K}3aTe4dQW$@qzeRb=TFlLj4<`B0!D7C#G(;Lo%HGHC98cJ^ ze^3jYAy^)!q!+x4qFV9_0F$S3?8ZTx?ujlJ{V zjh`9fXT{!{dt5$&HqSqwMDahLj9NkeCq$Y4LkOf`{3|V5j=ys~X)DS`5nAEY+m-Re z>EuuX#Ve?InsYj4RW1J!-k7HmD*zH<81JCdzu7{&KA$!cSr(n~=ht%7UQx)SJ!PI+1^ys2nF{m%>d^5Z2H zx7;@@8hmU|dMNd4-p7ZoFzS`J-2p0AoWA=xU{Wh9tzqUNI4n$kSw}}lQywP8z~YLp zArxkirAQrqh`@1hLCHcB&|?N;+puAC+!XFlA`bAQJ@<9%4=}A4;Z8C7^0(JU)N_epl}n z%n@$ZCh%Bcg2ND@t6&rihK9Wxr&uvg6X}!Z)hG1pbOlW1fwrM(8#w~jZB*2Y7p5zw z;O#|%>;nwIAiM$ayh{0TQBf!qfN>r-yi;(i-Z15;!9ol}?S4>ew6qT59AT~j@scBK z4S@W5crwIK4Hj1-==BTT!XoSbYP2{Kk-YsH8A~9V*~2jdK;J8*>$1g}fX0h>1RR~5 zKoWccKb?eRnQQNU8tR;zVh9w$r$`ZEOCA;(gl9n*Q{cKbzVN*2c0WjsNNAlj`VEx4Hgv&(fVic|o^5 z`j6zTd=6VUaJALFsk->Y!EZ^(GTZ-t<|IxwUi`PFS0-uk&e1oP3jw`U=TxRuR<{!r zv|4;>^V0ft{UxfCbJWgE9UiB_$OFvPp`#*($L@WPCM1d$fyqx?508C${xV&*AfQ1a zGM9hs>$0)2!7vGCaPGqvej0p9Y8in_M^wZ5>K>FLxrZ^V|@zfLJCI05?!moi-~had0t-bjdS@K=88E}fFvi+TMIAi>F^kM9K$sT%Q4Yon6!u`z6cI&@NAVL>F7 zl?kD|=HBE42@o?zICcS=Nofa%n^4Mmz9l6kMJFfg-&KLsSc+t>lXF;N^I(txxF1;< zJd$}VBZCQswcKkgZ~+pyz#X=@bdX*K;QW+Ig-lf=Xyvi7v9p`Lg0@FV(o2mZ4+6;= zj+wXwM-5ORL;}DF`qOF3cYivAH(vfv)v)7XSlCw%AaE>gz{G-dfPfJYM>#T*J2qBZ z*}%{>1VkjrT{EiFFgzL@5mB(`8;lo*wC-QOIGkEM5U%Cl-xAPl|I7I@QtlL-rom00 zIxsLWZh9Z=utZJ)8iid5HM8Ah0a@AM3bh3%Aa{|@yRe+ipau`lfB|QAb-Sb#F_?m{ zT0-)JPaywmod($!4LE1u71ZbYM{B$U!L$BOL(k>{H&JxWjelfp}hRD?hT(S+kc8`+t&XD5JF#abEb z+=qErbRbiaDO*(3>(?R3U=O%j?VX*!09bnp#716+Hq28Z<^h<@M)DhcG*UK&?{Jm_ zIC>Gt(ddxSVWL1DD!c z4weRw&LSg8aFnIOQc*ZOv;u!U93DcCcwE4~IoF+)UQ|@1UX4tTLo7oLLin1f*w{>m z1Mr&2fak=}(()O=tSOlL>*Ob4$Q4r9VkC!|I%Z~O<>lqET3X<&5HpN|0v`BDegJj_ z-Ejgm8bn(*w6Y3?LHeAb?3WSq9AR4Bg^-~MEanu}c>A+DBWC%_L zuNNp9xbVEzL#6nrD3HcMR`7&lY*4=0+06N%&4WAkGl=KUVEE1uq(p=!_Qmpffeb>z zyMlvB&_SAh0^I!kK@!{wJ;-Uu+%b$bMHJS+I3FonPj(E9`rObdH3Ye3;FBvmGHVPY zPO@Ier~@Lki|qcos9SE2hFI+2!ibuhG)12#&k(Gj3`c&rfjAGxmOx4*qND^GKH!zm z?5SC%UF%(q9R8u4qds2(UQC!Sy5hYz$3*XsINyxnl%e@4z=<$>pyzdi z-XF$UW86Se3?P(Xym}P}1>U~WHa<9Sgc%i#9LmxP<8}UU6ab(1LAlHbv=pI$YH{iP zkrQCRW!uXqV)pHY>Wup(6eOI8W||aUyJU-z%8%|oFtP+AWxBeb9^KX3nu-*~fiweL z%~d!W0#4yDhIB?T6EEyh3R!_r0z3Noa|To}SWQK@Dy7sb01;ii4$K%#p)s?v`h!=& z7Y&1uh$vNL6hjHE|oWii2d5qS>O;I{zGg1lOOesW;Cn<0<)x*&#XJG(+BAt`nKSBovCi0TEw z6$B*>s99E4Zl4hwYisT;Cr8K5N*628SyFo{AUmt2l0pCGYzr6z1GNL^4skzcT`{D7 znu@5oO|;9j)4x(esOXvA+KC<>kg?jKGd$nIHv9vuKaUYB@q zjzFaYXVTsP(UYrpUuTn2zTAQF_15Dk0)FoUK1eYuaF@BQa4dsr?kKRuh;1GUZcd>I z*oBbk062~T@ZAoi5kzB3Do~Qr2*TY6J{p6@6ghAOIhX`aA7X~XckDqV38Uma57i9= zg~*jV8{JAs#dC1+6}4g;?o2v#KI)F|Lr zVIMSr9rY$4GsNZw&=925OD|cq)ATnGtgKtz>x}wtb*tv`ufS0S)w5NRc-d^APpE8w7|u+ z0_UfQtX9ERX-4Q^WYQ7w1i+pGV;?RGaTI~R6#)699@Z7$Bgz+XlS2!L%!NUM?0l!g zi<|@n+%D#dA&nR4&Ts@8)BO(?Phb?>5YE^V@B%)~9kB*LYZ#Q0LK{IV8UeXCF1H`7 z5J=)e=6(Qs!eD%XgVhLFZdPFVP2j z)^;M?+!p`!0WK?BWA62YgokhuT(Zgx@4Lu3Z-BqFDtF)6#sMFSwn5` z=*-$Ssyp91-IJX;0Ph<$IZ5DacCIN(Mg_W_4j^X1>;Hs3a?E`2E##U_d|@ZKOB}Nkp7M zAsaI@ubtu+eCbJ8`-JTK40{D7zmZPW zvm3*?It0&ZpFhV8q2@okva<4`-SE{_z2_ghEjma^Nf{&Ct=DI682JB^;*G;EC@7Gt za(9?)@9I*l-kAwD`J9Ad$V+veQ`1M>WlM@RQm-dLTrMz@UR-fYM9AY%?C^KuQGILc znW3Q}YkPZHYwN2Lf4-58RoJCH$fKjD54)FkciNjsqW(3%*;*5s(!k>8qN=RyDYzyr z9bMJ|?Y(>Vm?GO@5c#?vG2ixh9PBzYwX`r_yx5HDm8h<;n`dTX!kBFdZG;P4)o%*W ztajT3t=F=^n(_{dbRyuo!m}8Qe%^p+1I|9 zp6L1%(Ee)f)eWg$2zDzt~ucm9YwM z^ycDV#~+5Kj*hc8Zrm8DcE09^PxY?A>gSh|{L)f68=Lj(Z})aLmtOIkoqsK86&6M( z`qXV~>*rU7MKu3ti5W$L`>ttIQxoMz^>%-O!A->kF)Ea@wsy$3Z-!Sii*a1GSDGVO zZZ2L4+oR&qKjlYAch*-%FKQ`IyMol9HO%+T8ydL~O0O7Btr@uJNQE7nTo`R2jiBY! zxZ@ z(FhEPTF^3kf`Xjfx44)OnVyno2Ofui&Y-52m$l7?)6M@-1DiWBQo{m#mT8e#iBQ84nw1_uIVcYFduy#abHy)4o%AwY!i=y8eq z9&C1YbjWIJ$FHrglh{^hJ2^WC{^(B&o|(}PMZ@#Hvzn~cKRP^^X=h732NUb$;u1WV zrJl6}D}sZfeiIuTODq$xwr0IqxB9@jYrNEIlIyv*w{K)*WPVW*S&n82X@8oM`l^zW z5(TOW_8ec>S2zVuTcgIlIXO9SMoABLH_42<<1@C<85tSOVq)4t!os*WZ{CDpz;qT5 zk738z*WVux1|RX_1tW~1++isOJqb&G3bj5PE_oKEf4Ki=(QR~eRR7nv_II#B8@jvi z3JD1XJgPwlMn#=-cspL@sQzbv#XV7{(w-z-eCw4EdLw;dtfDBtpn$}xW-|u;IF?Ii zU>^OmWY|Y0IsMn6%hvLx__uGHOU#Bd-8}f4UnC@O`4BT-yLPYoaCfO;aPU6+xwE~s zZZ0sWB%82~qr^YI=YxImD9$o4FzD&&F@-TmKAN4^{Buw_{QNZDDU{80!)b@nKr%L2 zC#UkYt*!GgndKD~fo*NKY~biVom7&N@>FI&*U;K}^UCAe>MyI>Dk>3_lJ3p$9X~!TMw6Ht+6dJ!tsyMYFuTJb>b{Ye9#@?c29+n44#> zZElhyLxZ1BP3ac6?LBjN3x_2jAONTLy*wFHY^QHkRn@|9USdnd%HiDy?v~q@GW&aP zzt*^v$th>AW9h^%|H;Ih} z{mw^tZv?IU!o!IYoWE1$EQUiY&Qi~73FfX1Xpdx@U7KzU2oGHd}{dUX8-+wkMuT}=aCMG84+K558-sdD~>u1kengYpq%tx+n{OCWkwY4SE?6JFH zDt5I0+hnpuTJ4V|cQF=-DYudk1oj*h^}%4&bD zkqFjO%F>c+0=>i;Y6mCuY;$un<+UdvX!Aer9UUFkzrWu>k&o}RhBLIbGI)f*BEqT9 zTDr)}I@92b7Z4KS13Lh%u?Q0^WWPWRNeeZ#vp%~pn1zJKkcUN2q%+i*xwr^JsrfT) zf5Ohmeq2Y-A{SEMuOt}?vyB9m?a*yYqTNxHr`d3BvR0WTl71!JM3$GA^KIu8a{NvO z1qJ2X&ENI$@kxR!YPLF*NgnQCogt!c`kZ{dx7hTacC`~pXAI|cNaQx(yQoIKe8EJ) z8j>(DgsY^;O=qMf$hf;pATbe^DEVeMJ<9W=_nBE3HJmCjB-LbRU%3De^=q#4zWWf0 z5sr}fb_#sZ3Bte%%~GyT)#oZlt5c^=F|x8^pFe+IqvR=hg3F5V@?;%@lK5tn+ySz- z5S^PKvoq~nu#J{)JA={aCM|0#oEDv90J^8 zAsO3U96UU{bx6hcD<+om>T+$mAr}W>6HpI0eX5%DfBW_=1Y|hUD)y@rIyg)|su|}1 z-RQ&K7<9*mm6pj+d*I9fN4%-IIivG%XEyw)3#U)I$t4Wp&RFieXOrWcE=)c>-! z_weCE&BsK8#ru#7vWiE7gMu}ezvL@q&!{3b!_IK6+v6*gI8yXwqQBcI5DP2~I7h*!CyVw@nSS=5_S<1`H zV|woFF69jx(TUinm&T^{m^nBUQkExTY7|mQVU5l~T#`vuHEmk` z`I8g9v5?G_weL(XU_Rnzz|`L`xy%G*~TX**Z55F%?bJ6Pg#y#|ghK9PZ5!%|?>M!S2t6J#z%3$CH2j%6fX2?E! zCb0bTXK$s08Lj9u#U(S2b7y7c$C0 z%1W4CqhChn;$W7);G`?r>C>l2svPs=4q(r#e+|l&*VSbtB_oS?^(p`+V+sMEkmq~z z9!rLbGMJm24;%q5Z29y?aDAg+3CnZ0NR1v+b- z#-Xc8MMc-{CQ5`33=B~Bu*7y2z+{Y7IxHp6X2>fjoK?MdZ@uGk9;2uzjiA*;6O2Yh zLnB~iyvks**6qH#;Mm@8#SfwFhZum8F;HbzlS7$@skdWw_4F_vKYko)>*(kxBq}=F zmwKCeZqR{YDDUxPlH?k9-99gDMC24g#?^zss!`{D;6~)`{{3^k2%YbHR~xV|!8egrh{AkYXo|GMz& z*RSH*Cy}go>|ckJ0b+;j$$0VNX(&4Uva+&n4RmT*XR zLfAqoi7!XtE}a}6ge#$CAC5W~O@0^I{OG%wGm{aPEBSR0Y6L>aEE%;%dA~$oy?K+h zP8Sj!d>!JxX30}u$R&D<0~s*(_vkvAY$AFG{zzlexf|6DMh z^D8_Ak`CX~fm;SzFg67Rh0Oh~g3LJSVAHq4ULW0=cy{94dRJZ`>z-#H&Z^m zGhDu1t4l*e10jw`^x1NK011oruW$0zfR-0}Q~ae@nTFWu6?DtEf*yaRLCVkg$!ahw{c=-p{nX!FThy1>9d1Z1_$pC=`K{(HXX7+1hXFMv!W1`(3l!}`vvs~7+n1ZQSv z^(-txsjfY#@980e6gj-)hIw?z(48pxc)Z_k_1UU6<8{~Jh2D?2XicZXKlAH<<`Y>i zUBZ=?mfp@;nwvWvt>8N_pysfIpRO^-At*=zAR9Y4%l%-t?bD|mRd*{h;`DOzG^lD8 zCTc__4tET?-ilJJ)@;*1Tb&5~{Q2|K$up>UQODel+PcGCJlH|mC0aI*oae}00WIX` z=hs7eG|Mj2Ys9u+8X|b?{wGz=8CIQIz&zbO=O@FXFYH&Y$Ql}6*grT}@4D8bJ5lXS zDP+x<;QFiGUnCKVwz~;pxX}u!y--2q)eYgs?xSvWa!I)qm_v-X8=DJcz?*W^_iY);S3rQR1CEGQ{yw(Al1hmw1`Bl_~% z#>T*(T^a#%DJLf(iQNSjhle&cHYJj=5PbkyAOkyl_AD{1!^nsRROSjgX^?FoJ@T?D zC4|7l*)NZfFt}}y)c*NS^VXnBEBHJoN{#PP=AJX#@79=_^AqlS79*phdIRYyfVi>? zkM{rk-uV`(gi^D=j#dBeMlj!^E5I{UQos4PGp4=oPQ%&dtHiPzD_1dU@o>mWy&q;1 z6BVWAveFVtlLE*=qXu2l!kr6s6&XZ!^}3!fpL4VXyAs4{65V$%jg60+WgDBCK1_|? zZX}YN`ch&>Z4~VhrM8Wyq2B-DPUBo>Yyo=nDRNJfiE3duEoS?)4DTVpAkiNJOdi)| zZtm8X7jGj4AK>%_y5BVdRulLrh*Mae9$KHb-D9@h{W&=~NvNrV09{T)kXrnO)Si&~ zs2v&`8c?W2x2-t2KX8!^53Fr%wo8}f4IG-{<7u;Xsvcy`8tCgY`XGmJz+-=mQ&^Y^ zAa?Hh&SI_i?U*YWeFiaa-{!1;nV6ujt*u>Ly`!R{5`7~@v)BaV%o%_GL(6eaMn)8; zW^p|fGMR3P(Pqvs{vgO5`4PnKH7J1_A%q&7uJJxYlxY=>$>Hwh2k88FkK|3*d6o7* zp0nHx(*+)Y@~SQhzVRf#9Ln?{fT?;@^O>96xpO{H24-5-*xA}<4sL$rymDpjaBo#I ze*$hD4tWw1=S-Y&!bb=e`Oki8?(FQC44A>1LuFUs`o|V(#QN@TLN6~bk#PByFC};| zjZ{c+Rfd@huo$*%a|qS7t5y?YZ@bT+3|c}y0)QtbA@Kt0fzN7!7PfKyYTZ#7?9d`j7+4y%}^L>Ok6_JqeXwDTlrIA`U zQ6w>0jtQ|xE4c3dNHh6bnj_ahfP+&%_0hY)q?Z}MPnK29-ri~*24!y99AKyx$nM^N zFLWXOE^4g;0pu4SAAjc2Jo2EBX4YG1tdd}xP+wm7Ia+k)=wQ_YU|c+PIB*p6NVx#z z^~cFc20%|pey8R$NmA*7KO>x&loU!^TibeLLB)I|U%H0*I}}NwNcu%;pzUq{=xA~Q z%dvp2uCBc;OViGV2F%Oqxw5bn>rj3%@$!-)PY4M!-(}kpQbXnu&V_46O`;fz-EbjJ zxo~<;fZbf*Y%3tS5<`)t-~RFF#$H=nBSwe|C#L`aK!FIU(ZRn`BW}?eM#n59 zqycp(4zLO94S3uG<>}ouWn1?hZ{K%Vsol(Fg{uoX|1#_?w=vK&FkpeTxB*;QNg3P0 z{_mcK$;roV!6P-ni)!;LzrW4T;{j}62fQ3ySjZcShBZD1H39RbOFwE?lRq4-0yjuP zMRf@REjv7+3E;cvBmX_OGb@hbV-B5feSLiq6pxg^P{mR^|GhIScq<#2o?x}Vi?cN%q$cQmqCCnAdGY?6*0$^cogH|>d~Q+ z&Z>Lx;#gMY(bw75@L-73c)l`BuLUePAY(N{(SI5h5fPC*XdE3Me+9`F)6>&TfEC#m zhx52A9ap&^3+LFl%-1Bg0wx+ba)ip6`N|c={mtRW4V|60q1w(``V@EVrr74dy@t`z zhe&x3)olQg#Ew){Ow3s(pK|Bl9|D4cNG-k;lRSI&tf9SK{uDNL5ImFQ+QIc;t<{yo zY$#JMz>Y&`oV8!SNU!_hlZZO5s10ZQn2%F@qll9mBPF{_byc_C&5AQC>gCJlci)Ok zL!r^TxK-}Y4;4bTMgb;3TRE+u*aeja9v9}m_8KKt#XEPJ0R(4>p-U>+D7k=j?~qLMVAKk;D#>VYu6A zd)%=AlD2jYnj9GCaLGdgsK%b*5_i=eobLV z8ylYLn&pUy)FbaYNNEtEENyWo-$%O5slJO1iejKF-bdxVL2@U?B!G^%v5 zhHv8lmY$jAcHr&yPtyx)YZc5#rDq>uP^f5Xb{Ia6<)~Vr`^mYnOLPGp^{{=BO7zsb zFTd;dJ}&CB4^2p8yZHOpg`NE%s%_qfQ2n>G6q28-hQIj~En`%!yGV(!`|{7vVsePN zmJZKr7#K_n9@G7u@YxH}r^z>d1Prg5%<3cbzr6BUj8yu|O-pv!1;{FZZctzZQo&2c zIb1ZN3|zqFz+u1mdU-VTSU?y#{*tbs1aie$b6406yjtdxUSDo?qvWvnr zj}r|-Ly-YqkiL{Oe{U6^;y(^OF}emKBaPcCb4GSG`00&Zb~ z_fH0)AYQe;DLgbX^3P$suA|t$(=5smH^ObtA@_G!hcRk(sO(c@h{~ZuPpoj z-n7GDYq{lELOGd$1xe}f@g1mT!;6D>T*T>p8jtUeRy&!|q&_a^qQe0P!!! zlOp>h_~bdrH{Ph^@oKX>gq_UI(G3U1vTI}ZEO2M$oc!a}O*;Cr^Wm$+ljGHV@$2_; z9GsC`r0>TH1;^XqPPZ=qeWbedupg!2Cx5FZgB>lgJ^E(t-m2nu&pEhS-&w7bEdr}^ z$619A(VAYKI!HttSGG?a-w^H7+}b(|WuT9@Hba6+=Va?N)2CWfkErj zfeP0@yt`XJ@wBwG$}21Np~7P4<{rLuzVvulQ7@!3S{sBa>8l)9AIaXhF%8#~b#@k> zaNE||SRO@4a4(>5Dkq>uBB7v2bGI-v+gs(2RzQFda5zFvYm5lfF#O1c0Kilu6oDmS zzQ?nZoLjYCX7TmIx(Mh(xw*Nw?%tKVbt|B9Y-s2_d~-0tU~lUu5_+C3k6;K23L+@F z$hfBkPCqdX4PJ$I?)@vro1jnH-MzNufvW1eK^vg4P$&utiqKz>(%(UH1$4rRh(zz+ zF>ltse}AFaY?u%##>K+?{Hu^35o%4dwd-VUNh=+jCtbu)PH6PgsMe+?Mgf7X+SW`p z4n?S>AoU|ir*c19{gD@x9AaW(NPVdIMu1?x`)wo8si#l?k3ZkqKn>(w<)N{4H08v$HCo7Asjijfu??Z(pWIg36_Xnc%z>(!}E*(Nc0&JND>~GThuK9W^ zn)?~-v4{(55;!*#2~a>E@Ry#sxVNxiVm?}U8rDM&u==W&;MJ?dC?JQiQPz%*H=jKD zAosRom_PKlx<7LJ^z%4OK%*kXDnjD{DeOMQbLrA0lqZx5SSZL1){6s|42_I3mLS*z z2TpQ$c&ORhfE=Hfr;_J?FZ+hI%H6o32ZGQJ40?KMDv92}5oF5HPy#3*!+~8&hQa_* z7oi9X1S*&L!i7^1($Aof{Q*~_1cmGSr#Jo~A^6othkKB2`=0J3ksgOi86C+UcgSTZ zj`Q6WUqNaCq>53Y4W#um-QIUMpzQNWOJl<(q7Q+p#kjPr4<{!&#W`Vpp1^No) zc(bwCJOX6;=SNz%Y%0GIOb9xF|o>WG_A&+=)5_ylqgMBj+t`U7V;)3-_B*7I= zM6+!O4UH%Y+WzBUDzqgH%t{OG(wdq74d%&{{wtKmmaoQ?&ur&(m%ser zIi`8~h%M;qubQQ`4NjHe3U`$-?in%b-2m|p1tXk=nDBJrVdXlNik1q(RqLiNzLvKn z&9EwDe4i;%Fh9GG)~UP5{1!j3yQ$6bTK;;lp9X#ZDb(6`fA!B9b{N#<(bIP$PIuFn zG{!RUwM6rovE019tNcS)S_#74&xiomAAPAvv6r2bLqbUz0L2fb=!JHnIKyxXW=s9v z7_}x3NBR!isc}6{Wo@Azxap^7coqsnsQ_Im~xBtRcZVBzIXI0~dr18RQ;q#oX9CNI@qJzl@v z^YI}riv4ml25(Zr{^a>P;=Z0;m_lyvnMczS3Y$OC*tT8q6hs#{*wr^TLAl%ML%U5|f-zi*fBOm6GJDioWkS?H>o0Qh`Bs1joGDu+&@$n&_ zKPx-L`TCv)dM+X=%CM>Jy?iQWOe^0<1Eupx&TsTlQg1wEG`?o8&7GlV=X#l3-iGO#<+u=wqU?nBu=B1WqomT(ePs$He zf9KWfNDj8rh->Nnsy|F#wVJc{pKt~bwziRDt~|Qf zR@q{ygf8AGt@GXu?I_qNs~a?mc_3AlhS$sei#5S&f}SH9|3(?7iv3s8;ePU+rB|Hp zVlLDlYkub&-*aP;Q`%LQ?kQQn-PvpShhcqC#*c|E$ST1Y$sQvTj(KVTS1F~fq}RWfKW%Flrz+j-@i*q$r?~+KL@(618u7F z-p2Tck(vSteRUnr&>97CLaX^CpN0=J6kn|-E0P{|>I?C+w~iW$UU@Tm3afQLrIuo{ zTiUmlrLf>TizDAJc5kzORdbE+XHg6LuDL1`6e@RC&S}o{3DblY&M@PR)!tWGnaG~G z`|?{2VOwW`OiGIpCFxt=KGE|+g})CY|19*jq)kwP${R@x78SMxCrl8z&LJk3h6Wj+ zQm94wQASj_w>OGh9Icj+<=QSHX6`gCG=xR#hIWiew5TB*K z!g>08%_x3q^Ldl;3>=0->qp{QiEV08F&ar0x=h$%wYYF9Y^^k>2be?^msf+U%?WQu zn7+hi3Yp;E{E?Q3Nc#W;q@b2Ba9Y=gdQxJoe1G2+IE?9`NeOHFtK$z}%5IZ=@9jM) zOjP{Dcc=ikfC`lzZKn1;$SW`+-I&c|;dc~yjJ`qm{Ss<33m$YQJqnropQQ-yJ$K1* zwn$hJF&5DWBI!%TqTkWYWdeOuR(2!6073I$OFF@D042dB#kZp1jS zOuV*hTZGpA`@znHlL8^^1lV3G`wvWw|93g^-*o^El@C3x7J{9Rf%ucZ-<0S%hTHPa zT?zmC`6Z>#C*{BkTS1AFvMEYyi?-+=pdJT-wiQM_h=1xOBMK*Za{WWlzb-;<_`>G2 zI3(TQ&7%nVH!S^|s&T0dwblHgq;kbgo;P^_|Uwb55YS-PGWz)MFR8VnU!@JPJt)rVx|L^xVYrh)Xo7ZfO2th!KW9ajEjq- zcHnwk8&d1G2TI|2fU~be95^~UJ01R_k7Q=O&W#cKstJ&!NWh14-Jg(&hlj+-$Y^1- zhz&d=gAS~B;{%|Up9Nu~9zJCQ1}YHEZq+=_P(##b#KHu^7{bh6xNt%Ddsm!DGr}eS z?#Z|KDiAu1i;D|v%?(>yUJxT*#K!uAh(rorn?~TW&!7+?cz=K2df_vZ*uh3W!sB(v z3ws07s{izf0RGpsJX*wK@r4geTfpL&k>i~d7`r8lM{nB`6BF|aqNAcr91g0h#ZaEX z!FVV}U}a(aV9dHd47?}-LhAv-MoFovk^-lE1~9wB+ke39I>(dErsqk35)&7n{`T$t z1TZ}eP8Ogq;F7U23JFmHXLcF|Qlk`CY$Gr>DY>8{@$&KxIIP^=h~B%rZ5n*M0Yu7e z=gtBm9?T;@+l&<+7!=e1!e$`W8Nz`lCj2LL@YR8LB4J@+)a{4TaBd2WI?p504zP^( zW5ElMQe1qlqN0L2XYVB5W-ZYQ+se+mMi*^fUNZ4U?s9>^Z?ScF%T|U_M1&grBuyZ$ zPyPIvQy>Z4GE&R{V>M`mfPWy&f!IBT!Z~}k0a&mX(b1{7k*{7M9Nx~}o*CWAR1%;| zmy>4;fU4Fgv!ruB{9_DcZhGs;+xU200|P8JHntF2VN$?4&tZ1q;dtEloxmwg?q?Rn z$#`6|^5MjFM=od5TD?2@`$crup~`V70WQengV%WdO31xAC$iN0g-5F%M_HS=dz(w! zpFaZZA3T4lr)8L9l!)@GR90lWAurI&ZZk}9xUu>1J+l>OtzIp$L0!bn z#pPF0Qj)9>AIaobU1=G17N}LtKz1==`WgB9brzf-C{K{RraHOn_?$c;Kwzu1D%H3| zEyOQN?o44J#|We(Akr3pfgY?s*Ab0P5C#>&Mw(sW5hxXi5N5EmHl1HwtQPCI@EOD7 zU^7^r5|SU` zoGw2%!QuyYBT(f`LdVnErn~XhkS!G#4Pa)FDawr83!NV zC;EOfsCRSug@p}3fQDgUVGk%I!HREK7b|Q5C7n5U6{h|vRqOI9x0qOU=`15`8y(Wx z&6Q+|K@3mu4gxLsG)h=RWRVmJ5Nq??ze|4p-24fLjhRee?nk3!vm3%m{ea ze1Sz6%GC*;ZuB3Pi$})#0yf6{w{M6GSE_l(6($-r1@cidWEFfGI#`P2TRS9WB5W>z zVc(~vVWGYhn|cFTjg@Y)t}a0d32#B=Ud8hSi8mR2!lO4qNdjLP%F}Ve`3#W8zTmP& zatuT$YB4F8%f9e#gDubm)Q&{?_|C!JrT|w9Vw(WLhvsCqr`@)QdOADtK-2OI@I_|O z>p{Ew`b@KCA|iLYF6bgZ3&uxFYm} z1cco8g}?`ZLIKVKay$1U7HnBw99EZ~AP}4Z6HzPJkG#P5o6!l}w9WDek2f|zDcRkA z=jRjPO8|9OHFd1L9T#$jUjWc_ZBs(hN@swlx^??@ma02A20^K#yuglZ(JXDKsz1s8 zh+l^78(KDj#`7m)@B?2rEL8z$dWvzpr@;uF6-o&g+F+aJad}&{KIuG92j>YKP;}rq z1|h%;JPuKp?p<}?-}w>{0h6+kWLFs5Zs-L3JK|%0pPHJSl!O9?1)P?7p*!#id>J4{ ziE5rFXmk13)zvW>AhA(gn@imV=o@dv2fr`)f@JpNKO4Ng7PMmOJaE�NDaji{U`} z1qH*?yv#Hw|=L;4tuX>DnFmy{&6>WQqiuTRxF!4_jYGW(C+Hlvg8BJ+f;pMP_V z6>NTAzI;(mLjvR#+_GhdyIbDa1bt4NKJ`FAAsSuRE1pJOFXViYTGjM>fr!*%2Hr5x z$fzOv02E65hzZ|jZv1>{^m4QUa#&!*>5uE&Et=srve@tYPl-dV3*1tqQW<=*pJlpa z-60`#veZILyWBci;3OYJ8*J^GSB{ifF+6gbJ`F+}Vt9v$M!g5$0gpOgDHv@{2S7IY z2!74!g#{e&`at^qm27D@EIir+n*xm0AHjibJ=;P6M4_2E-2D`&XYT;HX;j*qhC0A* z@da3rUIu~Sfx!`6#|B)Rh-Ly7KjhXeAyg@LS2V*%TbrBpz~{TrpGJgAf@h)b{C<`R zMgeAa2g2u&)$R`Hsk?$E*$cGZ-jE9WIpFfZ)`oaU0os8M&)_r@$c93J_AQ+#;f6Tu z;h9Y6f`{7OL7<@&eRc(`7CD>ku%YOwuq%5GCmxxDLCaTWT{&&6$e0NDUzIv{H?i$8 zyI0qY!2@c7O42`|hKF`|cg7P~0}Tz0DR=^~RU{1!_lk_-sjPEV+5dQVe95lRw6wIA zrB|;g0UR#6CcxYw##LYwTfjoRzEZXN&T(}Dtn|-QQ!fHsn_67VvpRUIlJHt&paB>)e$YWnxsbr`UG*8&tSRqCn}~E zxwr?WVezZe5Ed7ZeXEjlRavkW$W*yP!E+D>`OHU%L7PO3Cx{3H$V(*+%pbzS!u(;s zhh@_YCC!GiIW8~2mWw#deN+>)yll>AIYx;B0?}t|O#1>G8wRMQnErA;D&L}D<9F+!9jz&EDrzp@#B`fycYm8c(kivD?!jd!gE6d1!Cg>&khoC zP*d~s{>UtCEc9yBx(b6u6=7lFNf-IZ7(P!+xP%P@g(#mjOTK})JwY-|2K5x>DIdv- z{N|Og9qScNP8%SYH85^~fFdMyV&WHx|J+$Yz=yD{r z99`OHq=m!B%XtFlZk7M1_?qK!LC9$6X*n(_sZR*ZiGQgd*ndBP%l5C&k{TX;-4LEo zJFd6*Zk5v{9@FApWfRDfjOrtb(|fODR8OkgfUCvuFJb4F^K<&+1mNw{`tQo~L&$`#UGR%8mOSW&2~8iJU7w3xVwm8&2o7 zsmG+(=`P0$kE60`P5iUeX+w!QBUb#vt30P?xt>Pp$d`eYT#`UNT=dpRjM`5dJGQcB zFWF&{fEQ0sSFML49>rIZ9ukoEZ6MB>kCl^PVdGzYa_iJoj$mbD-^`>{NvtD1?4$4l zmp3R>-(haJxae!9%bn*5!%`^^zfg7kv6g(~Q9`7~5m(T_+SlI9Ct597nX+4=`fz=` zCQdJOdi**6;ud;c1pB6TOD`6e0~IsXt0?1H8vap=lW6L6usO_Q@|n@VPsXvm=blNm zyXnZ|a`#V!X?OWBQRaKiH*2^r_Y*$OL*pm96=3CB`nHwpJx(hi6~AIsfnQcge!t^> zX69Uv*f!DD(f6Pk(Peyo)9RiHA@ueNVoRsFb_$KUe3`t`_fbm=0VjrD4)JVYB5E8S(Do z^$1(RTKR)#Vd3HakR#E*H#Yd5-FlK|yc#ToZlV(&6`-E0aujIXIr5qLiK}D%GgJIS zkC+b{{M|t>ZwcNc;;Z+PRo7N5X)W+3ASN5cct$w4KpT^)qLi!r&TLh2zqGgUR>Vtb zTr6|ej`uGQKn074jZK@#)vnNAe$n+h%Zy1xA|Y_H6suKQu#Qe@B@~aiZ<8a8&f)r_1WW>&^V6w%^U9h}10@NI zHm`rs`}R$ZcA}s7pIp0-aIUH8d!Lf`bPg{D>IBphJpx;||_I3GqPgXnioM+e)zbsiq5dN8CA03T%jr5G3RQ}h20Y)m|Er^}BY zQZHtc~OV&vmf)A|1Gn@@ec)P;-p#R6dMaG^_QQI-gm zoScj>9#B;|RQ}B!3JY}@h>KHWic>=3(Y!K16ch?nVCp$U3U;HSqOx`vbnSR|f>;I| zikpx1Pi!plnJqAYQj={c>K#xZDJH;vYGEP0KwPm90GdYZ1!%5H5rhBK^o)$%#&}8Qv>FgLoe`7#cnB4Zt_+aqj zl}FVY^BRAdoLy<5XuQ@zCy6+G!07?O!C3`i0D_>-Py6bd^%3EW`gD^VHt@@1;*meVG6M&*F^Jf9*R2q<8=2 zQUUODf~WfGkBi(c8mk(l)+su%mSCM=lXwLbuQ+LGhkYc_-w5zHnM#5aSmcOib$Mm^ zFB<J_~xJj?eWx^UX>B7 zg#!*%LRQrL+}t#ff=!4Oc+9Q`0|iCKX-P>*S`m93aB^%kwmu{{L6klUsoU77KY#vE zYk~VTbQo-V(As&%)z$T?>yEW{tt%Dk1?a9|uk`Wr%Umio?Z*Zx;<~Ep%a4%LsxM z)&7^0nIy*aq+j~FBt+xU5p~IF+LvN#Zq64xdMwa#2E;PLD1yEBDl|NTeu)b%c~G{R zpxX{Oa>KQ_9n^6s@KMIa8Ep(7#iNTnfbLwR`w@)8DZn!#)r<|u6wttdgUYv_mVw$- zcWvq;JHReTK@t$M{KHn=Poja(+1-+52hlBHEUQ-C!ESm*r}7+-U2Z$Ciktok{bh6< zXC?oJki~MEBNhF=_S#>0*|tWXZj+P7iQUgAU}4PUpF7%fAHI=QL2HE0$+#EB+j#n3 ztD?v#;A9$9zF^K4n;~o#WUOL1 z$*LLFpy2??599-tD6Krm-u`K6#?f=kfn6ANlMYHaUa;_ujg466&zA@qSC^Mlrl#(0 zzigkgg$@N8#&?xQeVi^pkMLQ185q&Kr8>tOA^SaGa<%fl7Uyo&LoKa0hA#!q9gBYd zc)`FA*<@wt{*zlu6C;Tub+2pJj@vkesATA?$0_W8cnLv5ajE?eRm39>ZCXI7Hi1t) zgpM>q8j($)krxw~O{BZuw4c?$U)E4raqE5b|66o&?dG%B-*C{ z9bM41A&>aRQ5*@kr+)khM4DUPI!^G|+ROT}!1bYN7N7EJ{YWw~6~5NihE!^5Dq;;Y zF-foN0{1qgcOV*g^$lfZ--GQ3odnnh`U4w2eY%q}21*trbGe`(aP=Ig1Y}x%c!9qe z2S_8sCr_S689#Z_Fg`whO9hT*De{-!Y=xm27wOw{h*L;y08t0or%i2O#iN1O33w_t z{%`6sa}D|b1R*2z*5Hx9q$Ros!NEe#H=?qEuNe$BCd>H&8>P@m1`RJc3eM120xxh_ zlwf4W`ul2#ze*^AA&@sj9E+$(82=w%D-n?ZE6kVRHUS(n_|=lTXGehdfks#0^v$x7 ziG_vB>7k;b2?i};k$kv0m;zjY!2G=%b`DsW<{6EA2-D^XZ)1Refk4d5o=bTd8-kg7ut(iP*Y&4 zg!#lqUe|$=f}Zc%!(B7z$ESt%b)>O;9WJO335D$hNp$~u(X*=p(CsyGkk$u7rFGYaYQ#^)lUg%|oZZ(-?6tU>6t@gZ0R;IW8Wu?Ikcu8Wc>UNBoRy)&(6fL8 zT|FS>XT@hhUM3><4h;?MZiSi|g>wHhM-h4fPp#|v)hH1C@fjp&p>T#&jimlHcumQ4 zO1MOy@DLQG?>ZP502W{eM+a;)8Y(^Mg#INsrJBPYKy0rcY)>{04wfh^m8!ySN9rPI zpGT#ed}L)~n+4)KuhhNj+0P`^jC^n)1IBtV`gpVmi1R@sP(HwfR1RjlP;pG8L$%#6 z8tj1^Q-aR1(A5PkAb22^BvdX#htd5-9e`>`>jC_;D*~++CgYX-V`F1T)WM_R(gl@Q zL?&W|6_O@4V0!rIj9`#0gl;K4)r%~0LLs~m^M|+Y;J&WjO z6Hc?CdlM{^)y{U{NSy`!uN7Lq2IjTv+{ID#Fc4^uKuTrMSiIr&Jpc)G0Xn@BvSCI# zNs;zV=xfp_Gz>)deTCmeynY=7Djl-T5vu^C277cJ?6D>&#@CU#1(UEwwUbRrBmumT zgan*VNcR@J@&xHiL!uMFJS^0cPp^H!!2)$0CDH~89J4P3x@i!_hAzR{LzI#|GB7g> zcH7%Z216Xu*9yT5foLDpZfT^4+--M58s1!l zyvHO|YYAQ$;R`Jx`h%JGp?irA>DvQz?T{^N=*p|o-vud=nHLW!2mi;s2{7RQd>zyO fCE1Q0VKI#4_guixBZIe4q2zDemCcpWeg6Lea3_ue literal 0 HcmV?d00001 diff --git a/Fictional Character Battle Outcome Prediction/Images/__results___25_2.png b/Fictional Character Battle Outcome Prediction/Images/__results___25_2.png new file mode 100644 index 0000000000000000000000000000000000000000..41df0d37f86a38f536d69d5e30ea980601ad3109 GIT binary patch literal 19654 zcmb8X1z1*Xw>A0*NT+lwC@3I^fHWvzfT(mxw}^B~D@MhToejLAbn3t0fjoV5C1h` zW5Q2LdDbxC4?(-zYIcg2#&(W+Hb$ridUjUNEbX3|>YsNovavO_wBX_7=j7u!|HRJD z%2tSr%lyB;z-eh?!nKx=pbi(ovAU;ji$W3UA^)Ap5dUC`Ldo(-OWjg(id!0auBK$P zkF~mjx}JlcQs;MmlF-?#7FgQW0NK^7M#CMKRH!$(q5hQDJL{r&vD(?y7qkc7Q8 zC}L$|x^64G1s^gFX+EO1oo*rb_V%u6ZpOL(7GKz5@!ITKzE%b1TiI7JF;rd*{gG$S zp1pAS@;BY4)*n9_GUQW}l-MprG+(oxl=7nASGV3-)%#|6oleYk;Cxe{zyAwamimuo z{rEN_XiUt^@QXq8n4-)vi;T>Ig4C8(yDT&}o?+9{(q1OREwLP9NOb*!!yw`$mp(&? zhga`|N4YxT%c$S|{=pOYFDfBl$j8@Lk|p9+vYg14+ZUT@T*K?s@c$HC+BxfMmLugp z-@e`Z+SEjQ{%4Cuf$kZ7ef`y~Axi`Ju+!mYfA)qe0S)iXmC?%V4Z2rFy0vIt9xvRK z1}S}u8d_R#H|KjLoty+LM!%@1&#*Wf<8&36^>gZ(nX$*k$2aV(O*NP#y0M5IZYXj) zt?J6B-XY+2-k4<*-ag#lK8sqb#bQ(%6jWl1a#|gKaha1dugF&EA_s@8nz}m9{rmR| z?HBrNhGxFMWq$VT83wBGNhec$sK=jQ(r0ew=u~TeIK;)pmAZB7McYjFy_+{ZpNv&i z)`o2JYHMq!sOD?;I*48HzI^2h2@!(`@uf?bgqBP!ExGFI>RNKSI5{bhpRz^CtPJ$! z>u{m`GBPd~ns&3SjU6AU2GI#Bs6Boha3`3?AB%`#){Rh6PD$zF+kTlxCPu^gH0^I9 zBgya?M5y4K1e{jS&-dkKkKS-tRJ(ZT5-h%ZM$!85?o1*IWnwbJChRNA;uReHAd3Fj z^p}m`&(D^jTva=0UYG=31D}jqDK_SN@y1-&AAJ03bA04BFgRHI^XJc`rb@T{8?J6{ z1P)&&C-pOw*u0uDiSY37yxc=Lu3ptMH8m}mI&(9WL9|EIAoWhL#L~}?Yl+7PSYsZ? zZe{J-%I74`i;FXU`t+&S;UTJ^sOV)B`SDl9D-KiQh7)x@-yjal?H72@xxH-+rZuSZ z#+gqH3=HJ992Mbx+JkLVMhBZ-v%gXu`tl`O@L@~2dMLf{D~F|@wT+FK1hhB4!l!!8 zAv!0fr_Z8dgzVWMqG))Zppr`VD;AF#w@SIo1_spZW;@QbwY6DUS=}r){;_(rzmok~ zmDku~b^Mmy;sD9k)|Qon!=14zx3Jf*R|nQ%k1mLa&>^3&v8h{~sJA{oIt&;axQkCO zL{{Oraz{nwjq^xz1gkZiIQUtK=KlBZva)ZlpLKV4hcEGzNJdt~YI#`DKDOSMDAj!E z6UuX<-Z#6#s#V)WPLB9-$&(k|A0DMDet1|=T&!5l6&f<=>*E7Y^?rDPh=Absk9U05 z3w^mwRe43$i?GQDtMx?lR4t9kmSa`HVa#{ye*7S~apT65-YoJP&jymLgNnx5CmR9_ z?dB9VO%}S+??0~mOy0RwoTZRSOihjB=;#O=ntVT+v(#?x94wIM>guXZ{^kVtKD%n3 zZjI*|Iku>R!onB6zF3$<3_**F&rs<)yz77d6zJ7sZn`Ksd=F?`bX*w?Zi^SL@9ZSO z^+AJ&YIt*1gKd)mS;L!i*GB3&b*h41pkviFG@M0luKPVf)$!53&3>Y|2SdEDPu5`NIkRHf@6(LHMlur2GE%%3TPDjsiVNsXKQjYrU}4s$5UbACE~} zBjW?(c{a@gp7=gQnzpGZ7mK` z@fZi~5$)Gkw?Y7?!2M8(I9=0rS>h`#D-*p@^+;?N12T-1ni|#Qip0=RBG@Qzc=Fo%di0g5eNI%;!+0Ucm}g$TeEAwy&Cd@To?~huzxod3 z;-aD=-YO}yn!U}1u*AerZiB{~oYD0S4Y#wmKQaAuS26h>^8%_w%A-UvYyyIYGTRwq z8k&HEg9BEE>Vg8|gH-k5tUt&$PvpQczG#2J??zcB~>{zVn1`y;oI-9L`qOY8+8Dp^J;l1#e<>EJ8A^ z3I}qD$dF?=oZODf!%bCKySuy7jjt3H6yWSq%FD~o+drZyUKuVcMx9s5*FGFDhh^$h z`|P-)edgx(L~$L>N@ryO0RcZ)G0{yv+_fF<4G3IZ)TGDpexkFMo?bFGK0X;CAt4hh z>)pe06t<7V1&gsNt+{nk*`fBQ&d%jfQP{SHn3=MjiYZ&?;nllBDV{0f)tJS%JK zPCpGlkE6(AGrl)&cJtHVf^yPP19|6Vy; ztR2WzUL!jmtYFflPf(`(TB=4xlI2LI-Q>wt!3W%`bvt=(nc&HH333vjE__E$6OtS=~d%MS0Kv3`uYHN8UyZiOS+xi9u z)+?i;vWa4q!^0?ZE>=83!aJ}T<8yQVNL?8nWdK|u3N-{3Nk~L5;zSJSrLNLt+iIqb zez?pQ3o6v@Cr>WtX_loVR92g`Ghkq1rT}=GpQV0Lv#ZaJex%IT z8y@rfNSr~HI<6$BEFJGm5vi%EC0S23(kw*DTmr0#zdwvax{2(HCbCHCn*K-KOC~ zaN`q`lP`C6oH#T-;lm++yt1Dmezb%B;2p2Lhv^kaD5;}I*DNhpWD*ywXZn5@Ki(R< zJ5*L$`ozvnJOq}C~fJA;5Lpx8A)!~=p7*KJP_ z9VoYF*LL4ES{(Y^u3H?x`TVL8z~Q~^l~4c$<8Z3{f`W1imR_F4yJptM5k$p}1_jqE zFc6P}g9B-ma$T;WW<_ZCptj75*HCh5c4V|Bg@-Pw-hd$O|LUS3{%#XLqWkv7UsZv(=2 zyG53_KPY5&!0G+6J?auV@&O(mg;G^jh4#n*I-r3{7k&r8Vw(&7Q;?_S9?dTHWRiwQ zMD(s~LL3wtHlNGUuA~7t?yUc;ca1+VK{RKPv8%$-@**oMGbiVArg`O;FG&iSE%vEK zhKA=MBZ?M}5+etJ+qUw1>e$y8UH4PU9hL&%bW=rhYSlq6;RnHrq}EVT2lY6AfB)%E zT2-#p5E`#4D=Xc(lF%UeHVhV=eZI~Dr6qSXZ)qjt*f6BZ_9pxdEw+uNvZiDK{N-~Cx? zo!Yposi}F*b;rtet%361g9o=ErzY;CmkAvkcNY6LA6;0f+-6u@T0$zap`l^qP(oZ> zPSrs=6a`dL!Yz&8Q=#IRDCnzNb*=f}o1l`@jMzcTG;Q2&Y;62y=<~Cnwa)uyEj_s! zlu(5mUlGvqhR;}5AHIUv$<#4Xp6yD<`~4%<_mTJ^nM`_7ox__qZ>F>Sp{kV+k94$D zMT#s3hUEbqdbQA>Z&3e=U}tA4v@_`zy0?#y@{X9;1BiD>?;&vUtbTGzN`u`$(?}Nt zRem#MS9%6B;Yb}iHujvHoPwvlY{3pj&1=#&Ha2panmL7S0J8xK(5$?L9agDMeEpgj z>JpQXQ2B5aDk_)5>*dRiJS|}a;6UNGvbVntolRekx>rd_iOo{$vdfuBZ3k*f$`96# zjnE%K>QY}=C!*oSwzjq&fM6^$2RJvsy#ly{W(W>fN0HHe)bW9^dr7dD7dj2U#lhEh z6MM+FCPWo$j9nS>%+Cgk&K@6aS5Hh$dGU`rpCq>hZ^?J_QBW zT(<^IzO}SSz(cM97S)GkneESKEVrA}FDOO28#qoAfN2m~06IIjoW~z=AH?41jY*;) zC-+Ic8;UgTs}PAxL!S$6re&O*oRT28$r(I4Q*Hz1!$Lzx=eGHEZ!_KT;lqcIa>zD} z^z>f5~7p*$DY%Vs;iApaBL3#;nMZ z8}y(#nq}u~e}9+P!7X(^bjCP)Ru5KDt<);{VH3J1;AUOu29cyP*Zl$6TO`$rA0P0% z;nd37{Mr!!orWId#OXfx;reWEcC<>OGCx1RY|OPYjBXnw+RvxS?N&zVVL9qyspTOD zv8qfXU|&iK<7hMA1Iewxc{D;8A;A9(I%dYu?*6_3v^q#QO+X)EX=w?!8!4P1kz5mg z>HZ1$HXovZRXOQYq0t2pTs?e*x>x0H9v&X%iwx2zK;1S>v+>6~9H?URMP)49q+{irEZ-nTj7K0YKe_Rqc%~ zfTRJG0p7qTbJ{$uidT^740AR37K`ugfRJLQ4R(&o^q z(wsUMpOV4^*j965Y3VBT7#BoDMH_;sd3b+f%de%&hid;(?o4--z%H~L6NA{m(=#`} z`i{?x1$m&Tijvs66k<{o>Ex_?mC?z1B-WwPgz^0_6MB1l9k7M`XDV-`; zb-Vc>a33%#t>)}Nlm*l9orC`rbbh{x zi{lt|nj%P6V!I7Lk*ajwl!9nLP&)4x;EfzWaH+3br|atLC83oHG-`c=gJKdD)tcIt z?=%9uJ3`81{GB+MmY)JP7eO(Ta4ydUQgTuF`1nAZ02gABkdW}s&dx6Q^oasWDkV^x z@9*8eugGWurz!>Tf8F4qI^2B#Wa2;~@dG(G{0l8Q&aB=O$HrlEuW@PzDWsGNb8Is=H{FaD|lh;a3QU*Rio?t3!w9sLwSm`rli!e#Fc{JH_|Q!1F<8>dFtm z+6dnV6x9p=goNjG#jH#pAzd@Eu-tL0_-)V>G7-pCbrZlh;6}^E)gZQO*NAW3y0yBt zcI(a^%)VR=UuYh`zvF8iNG1^_2WmL;_FKrTQK^h9hi@b5l)>b$k+56E$% zxLwQ(h+RCcFP;F5lL4ML5(dv^3K*X-%qM>+omI(w>;v46M6%q?WV!S3jX)ZxShlyf zHw_dT$Y-lug{}=@ji#5^Y!3JA5$e#v!2wD@0|2zvk!}gv6Ixoi2AG25ZI5GL=(MNc zpPY85qdPxa>S%s(B0*gs+1cg%*>@);37f#VUNKJ)&s`vrRC&;SCi?95VT4_<;oLyr0irNd6B zTDrZFtD<3+(S+vaL=6ef^+)+PHhCPdrIg=O-4=MoxLIYi5kW>l!F1?=b0jc=!fk4q z35auHbK2FZhlAe}dK*h7adLNcDuU5rqV6m-KG3oo{T{WvouSqTC}kEFrbW;mut%_w3UgF!t!XDB#U~kW+)EPG zhiA^iifJ0@kiZ@AS`1U&obyV0m>}Yh&`wA}mseBsg98*iF9u2JkW3CbN?0`IDJP@i z&BTqgjwU@pSt+UTq?a8oXOgNS^PW9dDB_~@lJNmr7!o`nT^a$aaZhIreSM}po$8R9 z8rWk;^DkBtXuucbT9DGx;z7fvqoWhAEzAy*N(vi75h2Y6ocJc#`~qOW>BL;AT(*~e zA|gm3`}spULMjJPoj^lM>gt|HVg-d9MOewpa6~#x}2PxXGez|fB=Qc z>h$zWkfVG)kGa#nc=4j(^XI#;rYR{Yb|E8a`Ni$c%`f2Qj`k`qu+D}J;@Vr9FB1D@ z$rfI&({uF&(l*%IN|LRWJTrP>PLy`6c=rce@W-rclIIX5$zcl4%S929=Dec)ST;mg z3dbPFkh%D7aWMGg?5ly|6n3$IHW87ZqOf0_6Xm?wZK7jfz%O>9HyOcig(vN~beec5 zHXwpjxLnH2Ggr4Qz8fc3^FDV*G|}0lR4t1Z5*;E`AuAn@5pt?zksDrqA)9~rfV^Vu zAO9G2S!-i(ObJoD!Y)S64hHA9S2Z?TxSpt9Eue&5ywwsViUgDNOPOy;=bXPc_8a_< zd#XA8byYOH$l1M2W^qt`1bwuB9}?7N6xOrJpRYpiL%Z{ovi(T zZ&j%djZM^eDq8^g`q{zLMY*nV`W#9fmUk*!tdf<4PjBkK2awN zcC_8dKe88t2#TQw^dlmfncaTbr_2|XV2fb!%(9EUcxb8~YeWetJe znTo8N&cedNm!n#m7z}_LN3@i!l`$d!+a(qwG(Z#7mzZ`VdJCkvTzx&{+(^IN*?+zj zrS)}e>QGQnkmf$fgeo)bZEcvSQeatf#=bn~dD@>BOmX$GZetL2smF1Zvj)^9;K895 zz1OA$P8c6*v>Jk6&;e#2yF!HEjgizgpkn9m}o&NJ-nFmtY z0muyk4vR63d(eJl9FIXK2w>rMf1XxYTwD-jTWSvD(|i&sI;oO)7Da~Z)A*;vkdcJs z1puZA;0Zura?&62^hBX~BG`tM7 zCiC48kxc>6Z+D=1u@~A-{hOdpPi7=GwamtBV?UCGPtI<}GWWg-&gluv_!_amFfyj} z*5Vf=pfvK+1a|3lGKO=|;6h=3;b~IM@OGbC&SKS(-j@AuCg-vi=I^N^qBUb??xjJE z_i`}Sv!tgkwQi$OKD*alZ}ijqR_FVtpiv)qE$eA+5cK3I=7=@6yxp`~OA|f1SMtJS z3N7bn;*-dJiL~5N%i&x3{L6JeiiuIHcT)&%a9P)9N~S-$o~`}?JJmRS!sp?(?o5)z z(;_+@_sIYQaUojnr(Mx9?KsYRi)PQ-rGBxi@sq6&nH7~K8s>%Q~#7wimOG&JtH+4Bu^I)qe6fHYpa zIcs#>pKY$agl5O}mX?&AWq`HlyUF2pLO)Fp0__LuXHbgKTD~T!u2QdDrhY`nPR=mK zuO7V<@5pFyW4`-vPwv+HZT+mEghkL|0ssXV0Dmc9`x_tO7obuHvmVIxKIguOwNyST zS^3Im^@)<_M0dBIL4MtIx5KyA!kSSo%~j)H4@#C_2eMpc)cw=cZ#@@@e(vE=X6Rbm zL9CO}4t-Cq&XcdI5^0sBg%1Uu%e~OJVl(`O?e2Gvc_#68v>%7-C{&gC@>E5;88i1N z;avap&Lk=SFC&c<=~k>eA#oWtaC<=H8U#UN1Ag8YLK%240!UA;N4qnPgb!?FWIXGI z+@5vxRSL^fczLA z*ZtbiK+S#KR9d>A_N&+fIW^rg8ZP9<`S)L_cB5T9HV&leV-paFdQ#$;r|A8CC~o=I z``laWSZd`wIDIzc48PRRKQ%6X9T}S} zZ4a^FTNUiZgkT~So%)LW8;u`ZKQ$7@-!oxRPPl#duEFwfStDWnVow1@#*CKG=xEwB z`o+c}y{4Z+vj;L10k~IR$C_u#kC+^)qjTmpkkf~JyGTZ`g#`9vvN>0O@#{^g2*nh^eU5 z@+vhseI=4R)b5EVa%BYKRSz(W_R?Izxq%$6IPqmq&V1uK?PQ7B*Rrk@>O^be!s9K^ zHC%Z!#as{8$ES|lFWuu;%n3V)y?Xt)L_)6$zqxvlX_sGvjQriQIR16ZdXu!|+c!Cf zMQ}TlcG2+@!(P4Nnx5>~dUx+ZQSFcHzL(^9OZ`DC{Yv? zfb&dDbpv|DBw^IupV>zvE7sHr5nNkll7du@tfzaUW22E=m8W$?7r`cAIy!ujczgj4*9 zP3_Hqqmk$q9DD+pjYCc_Dq5n+N%N5=Vhr%|pQxX71F^f^JC`;b+JUb2xBJHqX)1ANJU0E3wJO36KCNycsK77a?5{a8_{Sy$bH26KCiSOP4)0(V(HM%vid;z$u zwIR#u3HZ|)L+<%WWD_`#a#DJ%WXoOV4L|IL2+;*NC*Zts8ARtEMBT;3!wZXwN{7sD zXb7M-YY2fWG)?TWxjKD!X#ZkT32fw(uuzCA?@MJR->3b5uoPPVU@2|_uK=WyCpb5< zhrTv80_9fI->mOXu9NgdAoBWXI&i2_I(uEU%HiC0xkgBLd+M*6YTPC5P zcooZUDFKWp#OQ4ZnHv_ve$ZSg-wuM{+A}c9udH(0*9Tc=pxQ$mks)2So?X0nQ5Sv! z9FvCf*L%S$Z5k@0K0neI+7FCtm1_I0L*RN4Yc64L#f4aAj z?|&D`Xq|0aRBb(l`3j%r4L4=7%z_nL+k&%O_h&Nv8ePx^A+I%|Q~p}=+528@H9NwvtA z2318Yrt#it@9thNex8g) zHpUbDT(rCb$o7S;dRdiZErO2_=j~$Rav(T3K((rA$+Fu9wg9}mdSDL&fH}^v12C*8ld!`2D2KO2xxwNhj_V{l zS1}$QQWW&qSm0IZDd0;W4-~N?muaKTH%0 zhEPrgf#u{FeA9J`cbkSHRNLCxN{k#cdGZdnK`xC?vJ2=S$X0dLB1ey$dc$=-zLqJ| z{qd#!OZVSAvA_0K_JkYS2(ZxMpyQn zrYkYrdDz>CRSeO1u1aQD{q8!Xf~Vc8`wuBtsyHu+u$*n0-TmU_5*VD zgX4pSLOhF5J*oc_BFq-{54RAfADDo^A07zyz!b=GsMqoF!9f2|on`{vqW;l?-StA} z&8G(-<{{cs&jRG=P_S%Lom{Fbv5j;Cm@1%!KG-b8$Hl#liZb$xK@NBb>4qJc7Q-SV zl`IYm4Vn<=rx(U;aPV6hId*iLaLWs^?sul%Mf}bJ){_|ES+)TGJF?>~kyjAzAe-q9 zJnNyf(|7F|ivu8^B-0g=!957{keHDDJO&tkt|-1o^8HCPk<8tiG31J9UIib!?tD+? zJsBAZFkt~rJuyBmN4|yxh<9YuBD))wC?vFbnF7q4#|}H3Rx5@cUCh9Rax?lROFkc%4JEV(pUhAeVa4ufhee-i5`+W;>pY zE=bgk>|nYOx0&TvzG@dg9+vY(whWznfZ1XST%`sE1{w9py}a>ecZrX11A&>(okHR~ z5O9b*3w9xV3M$y|3u|4%^k57#J$MFX2vYO~Ha1+ak6_{jAj3>?6K0+G7yxXS+WTfrk|)7zzxU2!od(eZ6irq`433 zAm2|zV`F_dXL6Ux5P2TzDZBl2Y+Lb~23WMAM9d?Yl*xdNwz%J<^R~7&1406jv#Tf# zya%ZOkqNmF!KZNxOePaxxAF@PZUA-K3j8S`6yKTY&s&cQNO0Alfh~t;J8eOX#9vx0oE!*y_f|YXo4XCtJ`m&+fB^;MPX5dGvN6{ zY#N9M9tgfE#PDejQan7k3ac{;Fxe{~pR*6+1d_X-m*g!%9SQtA>Wl|orLH*)NSN&y z=vpQK!!iq>~)|!M}bPegV5T;*j|3A>P=q16=uZ(ZI;)ENH?2 z$`^lnxu7fe=%a8`*9Y zhnfaHm6W6Be||NiJfWjS%qcVNi3o&;1alTF1Tf;GJNo50O+6aqw>#kB0HYRwQapUB zYbaQ?Zb66K2+^hmf4^^O%C`LOa&oVoZT6=YM=G{6n*f3%8mOJ{n!yuMSk5!hA$Atu zUue-zS5P*hg9lVzpiWFujk2rK;)IiUWpe#Q$%#h}Y@#!=0`E_?1uyu?|EoY^deT~k zJwIuO{?lO+{B6t5J>2?NgJ$T#wYO-Qb<*h3T>MX?S95;_InU2dw35Hq!-%n}>%;n& zbadrW$4N75`g%16Qqn&}rPE$c_~ehUvQuH^REn@=ov?5{xo=DyR+qoZ)M*opDDO=wR%=vBqWiR1xq!Bv^)TNz2QV40tpik>)9wGfk-IDmy#H^ZUzjlQm5hY#i>Z-O} z=774?`-#Wl=*CsucMff({qa#&to4}rJ{YDYOQYiChdR}-6vg}V+K8KL(nM&-GMdG> zxQGxy?MK4g0rL+AuOx_?+dg&fJnu-t7%rdo#G6?_p&V8$(ncMG>ltWo?CAAoRa)6r zgqHC7J`Ik_C{ns~{lH#T+r2XDV6P@=NPr?+>ImK8)jM8o6H9n>`WjEu}u(uPzln|vPuML@GVpJ;1i6GRovi-9@n?IlT~Z&1nCw>|H6 zmicaiZ>~AFf+GD|?f$LHoS%3VBBjcu4}Rd>XVMsN@LzH2- z|Dc$vYlS6G=i}YF-FJ5a-r(PE8QEdstD&K%CqP=^$+@r5jxl#>A}X z0Cf>)2CU`fWhlYWc>6XwT);4HPY8xITnA=d1a5-W`c5o329fRx)OYAUs03{;+SuCK zhcu*x|A&sun76}|zUAlFiQw=Lk7bpox2}ndtyYD8Q;n#X?!MI3^h-(7K~ST8~89jf9kvGrJ~~L46Xe$ zn1{k=e0<&r>_&2(m1++NBPF$-d_q6`u=sYa&@P<7>q>0YA&a{+JevK?L|3(U@WQ5a zuIZ;4%JquS9!p1b_zp zFwSJT$|fpF>5Z7d1@J7|FC6ixUWESvHX)VIWp4YQ8r>Tj8o+<3w32@{;vJIqmDFFo z3qGDz){Bzf8XX-4lKzBE*LwJn5Tfe^VoN~?9~h0Y+S@R-kA=;I2LHnO^EW@NpH@3L z|E}AKhxV%_(zA$t43J}InlvelRT+RM6wsflIB{E36BfX(CIDJUe}eFV(2ByP`b=5G zP6$f{`5&RBZa*(>fPI_@dNdgR!iVofI!0g?ux{Kq)*LJWUnv+}MI zI>X%>=AF`Fr+@n$a`KV?{P3I7N&P&vwqX9V_;=OB&I9gx%YS8zGy0!j;|2ZtiAu_g zJ-aRI-2G$olmtA%0)N@!v|BgZxm~<&D=htmDZmB)>l(P8vh9Zt$WBCAG!w*35;k~( zIbdCIoKG+KKY$O-Ma{qKv)UyL5MsUYUyx_~uWW%;BaVjKC7nS{nW%MN@yq$j?et{QHHpXCAa2LAYqTWC&k%WsSg z*)7b#w4a6lFunZ6U~d&OQM1;$Us~+)i~mXT|Ggs~)(OKC4nKtr@j$$leP76HIjUJH z3O+RGz;8oIM|d}&70)v>r^@K-AuOP&9L^ynJ(yN)PkJdBQc|>x1uDW}c^I*|)7%ZA ztAzuH-~h=geLm!A!!BYczwDT5wvQU@htY5F#Sia+_bEr?Goi+(XSIkK7^MbEy{oJ1 zD*R;}{G~Z|aiR66#KEk3@3E+HVnjr0AsHE&l2Z!|z}Ae6&?D2tFzjjtc1BbUblmbv zO5PxA+7E&2GZnmheu05JJNHjcN7oCG{Nv){dhXlVZ5Rxl#lSev!h-3twO9*e>g(|E zmm&1RlcSX`kQ9ACe&mC0jBm^O#Bx_&YhZlh3i0Y#C;9B5x&{&3lt zO+GpXe9mn><9_+5JZc=Ug4+Or3 zW1`znnVA9qfON}X9RRJ%d@B4!R}+F;Yfd zWF!5F*~qxCQF9OpT^It!f!HH?;AN@eY!!4t+qJaCjL3B9sy@hh*G(bVI zDIRRkR0w7L)+d{@e-y7zM$H-X)VQnp2sRewnTpd2zf3|hHwAwMB0ekJ04yhxnM#vt zd!f#Z_cN91V4egeugvxK+QcnvU_-&(3icF|>uo*BN^bWx#mC>o+fvBr|I=~ z3h}Yt>@2oD-@$=_7{l-zWZFoh_K&wk%t>)ZBOV6uNjDPud>h}{WwABtB1Jf}**PSk z{;%(uFg1rgc+!z{255a^Vq#A)W%dqSAff&W>{aK7M~pye!Ydv0;M6t}`hQD`S(Ijn z=WO`Z9KmhUMi(b&iwTEb0=5}knC6Qeej9H7Q+HC1vv7p6Zmj&D{n0gb>{1c8~92XUdvgW%Y=T{8VV=|7FKq@x|-T~ z0RbxDG42EbKU7j{_~;RgvC_l%YYm_PgUZ-g+OF>IU@~$r#{Ku@8r_P$z!^YrgMq3; zEio+YOuB+;S_V*`8nRm(N?;aW-QI2j3A|@PiH)2P1{a}tGv9%J`)9#*2b3WVG8p&2 zDb7rlKoc-sxgvdNDh0;lWq~E%$Y%`tfwfw2#QMf^H=NE?k&a2nJRaKtRoa z9?9GikTfv%bH8j8$Y?)*|I8y#Kl~shlD~boKJ^g(|9CZsGcFNPzth%pn9N~$7^k*m zjSwpEb`Y4nA^#M1iopAtf`Wpi;B5n&0SiD?11|Rq4eehLkWvCk%=W2VK%~3z?YWkwCcX_F6O$wu_>AuZeuMMU+KLAkya7{MYlquo=sO=44nc?UhS5Io z&|{)t{;DDAme=^=B0gZ*jin(<5atvai$T-@91OxA590Dd08i+s^1FZ-I(-*

AQLtvn7o(_*hnV!WZ93Qd-n7Fe%#H_|qz#fy((gp&*m7I}*4LTe6+P^|%cq5t% zsKm3Ql@-p_p<;X3;6mJiiEZn}0d9n^1Yz-!$O?FiUm$Pr09+;s9Rc7&bSx|^Cuir$ zSj(z2sEaHtOwhR_uVq1_g`=_Bj4$=kB;cyaP8w`jnujh3`=Um6HJje%C z-`qm@YiLV$V9*j2AWtCEb>W_%i}Gq)BbFy8kutsvuT+7ZQ^mgEEt7t(u&_{qGdd86 z?2OM9Wo7<|bw@1rhWR;=Q%J#5UzwMbbQ3lp0Fol^1#hTfdB{){^45ni$bfQ*_pvVs zIWBX62y`Ciy1BXKQN(b~(BO3dx@ev|F#FZB0J^(Re0)3%p*-6ofyX2S8QJEy7?#T)s&x4bAek6O_h4j% zhVSXcPtOKZtm9zF+aJ;b%)>(qgysoL@yuuDQc6|>x65@6n6rXdMhD6dCM~bo&C0>c zAF@90@9vrgbti)O0^J$xcaOkBcXu(E-3$Z$0bUmn+_d*tT|F7*(WcA)w8D!uOE927zLQ&Cs{^z6iLeJqG$z_!oP5s@f^P4T*hR=FL5WZ=9L0N<#l zZt6a~w6w(M-uB~%Pj$8U4FGk^YA{Zbse}(Qw9raKY%CsX2VOYC8_ppoL{uvW^zXH2 z1J}OC3sWLd4LWtSj=Mhu^1T_gw%a)+u{>+q2I zT<}7)Dt|VDfu}&|f|8(7M9HuZAVVZRl-f?uT*Sr2;Z-za&uT0n!~HEsYjXeT62qRjZPgL!WV{w7!9V2&gn@xu*L5ZSEYeMv!#;tUWX z@YX1pwmX@00SRyX&vdI3%rhrA1-pW+krp*iwUNCYwN(NN}Bl3vb8mi3%jJ-7>(}^%} z=n8XlLJg8q%D&ABvzFjBLbyL9X5h65_0VgAax3NTURB=Z0dGq|<{p?iIPf9hkZhHm zU$ysjDi26%cq7DD;gv650GAQA8;r5&DC8X*a32l8_)LIF58e-gs`>JK9hs|!VJ+m^ zNFNI$RVWxRM5Ry7BD$Qz;=l_e55ow%T7mA1hxyx4s@k<_(h&%A4go#|PZYyvrc&kr zQ(bqE)KzTq2uSfHcr2ReK17X%EZ+b@FflXZ3+@5RLZNW)%1Ay$q0si>pJpr! z_(>`E+FAHRz~+vc%_9p#8+)A>2B-%*HkPIqHl{|pGB!pERe&Zh~b&!LJyCzsABVzi{;v5fVo6GdN$p zdX=bIUtUsDf8zZj{cLB-J**2CUghMl>E9qLHXAhTKGd#qx^yE7hl`6#YS==Pgp|~; zw)S??5(gtAW|DM>PeB1UymZ86{Xx>wz9R9JD;MPD<*SMXY-S1I=XjKYN^D$&J@ogt zihlo@`cBGcPElD^rK6*R79r~`7bB?C|Jk6_enqQ@O6c0Pv(MUM8~0agLh@>ku22fv zr1wttB)7LKwCLYRSIT@L+I%mPU5p_d{-@KCc*ki)l%D<^At9k(NC=;Jp>oO7x-(zC ze0f^$b$(}WA#ZKKBu{x^?Ut}GZ`_BdD6+-H#j%+g-%onY6FX~@Jx+_|*BBV2)&+!3 zJGOnXLlfp<@g8nWhKNo?sA|0wPpDlTZ|KNWW+5gf9*fj=tJ|3CvN}3&blICr>v^&0 zyuD1z&W^WIxsJym_fd_ld3ANQw#s>1p~mgdxZmAiz9-AK!hS`!Ihc}^-!i_p+;*Y2 zuD#M5-unQ#8 z!4!m)LUzO#yu}?H9sP?;`i%E}#0aUP+SPB}y5&V6?&an6{K%!I(`>oqSsPVH#v?`@ z6BCx~oSZuahOJ++9~bZ}golNlMG;a`<`fMd9qu=Bx80)4&d&DA$;ok8YrNd(jeYr> z@JPzNNJ$wPzx<-2OUx0nUOqmrhlYk^Mf2XgA-rSd5Z9N|U>kqh55ex3^b3L+N#_u=DGk9ft>To|yRWb`O@_<21`{ z2t!1VO8KoOyd1XrpLwUGq`bf7_}Nf1l3kN$|B8r9sR9$R!HBzp!khep0wO+(5!UTP zWnzhk55ow={WdmixL*908K0en?el&){&E&neQn|n*V9^*j)esW@?fLYRlllToudwqAc5%q`TaHVZa9NDdn7hB zHT7B@Cbi$hgl^RYozYVR?FPHWUuba7ZXIrP32ssgJMr}9Y6d`zlfh;*!r3FdbjceD zw}svubyp%HqP0KYIrO^I6|v5ruY;HQLrN;N7^Q+;;osX{!50z|^78f7TOF&L?a7K9 zY4D$Ei)+T_sPyQ~c|v#N#>ETXXZ-#B`JFaqB}xWMET~_3dX6tG1^M}54OQ6Vv#4a> zPLqqVobS%KF~f<8M}ft`!6A9)&Ukmmqn(5GHrP48K#C&hUVzVLs>zZ#_gF0n~>tUnK8;sVi(z45t82~FlaPdA9n(|QL;U^gT0-g8b|ypg;6dTw zH_UaVeRAG5$056sJfsJ?@G=}VsS@*Ho>70;%!%2KB!iKeL)po>U!Uj_6BFOW#s(XF ze>V<4=Xc#J?DbQ%vf_e0LUVU_XH_r6+TU7gkfwG$3+E>(@afy_-8fNqsu)3A@yVtj zF6-(0YEPa_R;*M@KqAaH_)b!}(RmLgD-~F7GxzEPpM~yFsg}@S&JvxSPN4p(JC9Iz1I#6hI#sgBaM`|l%H59?8PoJWT zA)}u67N<>>i^(*qsL3pi%Z)gMusw@fgDkB|YVR1~I#_Jxos^VR>bhT?x&+6Pz|hc8 zcV~6nAeawgKgYEizFeZ1C&neJ^`mVhFL@D6Ohsyw442yyiN95f`uX#x?ntHMlp6-@ zjsbHb)Q1EGCP{t$wbfjW{&Rl~4quF6%+5Iq~tg&z?PtMNUp08WWS_sEzWHO}Pl$lKE$C zS#__9Dd%B)q$H_?5)Ru0(@2a z@m03YojX_G(V+hlD(iea*c8N95Ri zxct1RsAx{8P?0)YtlOT^+AqBjqk-wRI1WhqjoR*qDMg1rqPV@w%F0UJ4$HN;!saGT z53an8iNQrFFh>Y(jux3*Mm_!Z_PY8~O3#qz%$BRGD{l{j!owwAixCRdT#bwuKk%7z zT#7A5bJx8xy1SLWG&j@n@F-0{>?5<(JEbn)Kif?j9x-IlLk>&6>=i}vtIIZ+U+ zC#x?gZZq?f5>=b};KNfBlK|LJs^f$85JRKUYGK$=%hfS46#b>W7$JL3>**giX8H_n zJoaubC@7FHH)r2k9?r53WR&|@oAab(6#$nBWtRQQ$a6quW!47Y_NlHcjCOg(xl2i5 z;8E~%Mj&g;+J_&g-NB4_C z)!uy8Y8 z2)N-*M8r9GIgfF-jLBEn9#}@yTa8y2Pyh!y7aSnh3P$sq_>7G`fEj5*>0ByfKF<&Ro}!rAp@ab;zWWlQ3I%+yJxrD_XBDJk@@_*Ss<2asBS zRXOwBG#~PtiFL+v-dfDy#Be41qa}Nt_`=4@D78snZX=W(0zyJXozZjHB*>?e3cR=m zL4}WriTOS%YP^+iw0j|p2|dH>|moyerGN%j)0Of2#&Ab(m)Z$QpMX()!#2UuC8+& z#yrbarY6VsrH;Fe5_iPq}U{^ zwL&YEo(O(n4!|76L|waf?d{`j_{>C|2A}-m;+qE#-s%Co-2t?qV`%6D`BwRt#rkyX z>_8Dq_09zLNoM0Q{iU$3-bbxf-qPCI2!TAdun>?I=XQnKZHHFNX^!3os{5b(f30tBXs%#i$4X^0@?2W)~M1)Y}8K^yl3v zS6`G-xbAI;#fiAW-(G{j)N76AeJ|{6SGHe%?7TB%-DZ??PevxaxJ_C$C33MRPrGKw zU3zQAQ^<{nR06XI~&0x8>oU zZMJ3w3Dj|)v@}L>adGAY3YM-cRSrm-I#7_KixU&CW~+TVbMxj+Xkr8ExI|}1s+=8` ziu&G!hQ72Pag<)ydp=hCl8K$Y>0o#LyXhk(rR3d%SFc_{$OGO}o|clvCvPl+q}*!) zX{OM8_{#0Z(FSN>Ydbm!vsCkX=hwUBMaL%^1EdbOl`g@7#lpe)0tf9)bhNsm>zwcn zkFYjAz)P@O)=_RzQBh3H%$dDv8Ou5VIbnnHp<}9q-1Hn0LNDb;Fr`pxnbHLm)O=6q z7LdNO<;M?60QIYb7BxC>(r5efsLSn^j0;OKaIbigaT|`ML~7M1-wn6iUe?T3FS-Ex z+7%s70;ulSFEykYgOgoqyFenc`K8Ev=L?|biSms-*Sa_uz>4=}t=szg*Q5eTUm`~lX~Usm{We6?*xZZ>i5BWU?^{`VsFdR? zD|y?yE9jVbW8v~5bwg#=ypd<5q^0RNISC4$wKe%tyQTLXp%93PfJOj+R)2oqb#QXh zg+Ku4#`KO|Gjsh*`|F`fMB5)yq7tfnr+UVcdloTh`9(0Z%zUlVoOc&@Ln zKUOvqD*-6ga%q4UIU{C+#XVQfRcIgXZLZZEAL7$V1>S~t=5$zn+L~e?8ygF#mTz{Q z%LkI%MAWm`mvM2_O@UarP09_^O+CT!pESY-ix>jy6uc(R<71#M}If5wzjs~ zT6}CeQc0$or`2;M^y);4ebH}7BL&T)BE-p;NV_zeO$ zlSJO$-s*>tExqA@`vn9z&pM~it_TSWYX*{Xi6hCaW$MNF%#7;v%DB$xOJ7R-V|R4w zsQU~`%n=R;Yt4=Cx%9q3i^Vdu4AFFHX|Uund^&W#7XY2D^**uifBTj=$4&HL)zbkY zf_F5CG0x?o%l=YH^d`QRQ;FlcAt5pGH3~{f;;pqW zMB)hwSeTf;z9ULAVpGHVnK$q&;6d26t66>Uso6iq#N2_szXN%r5!y7Gn-(M4Ju3iC zbOAsm8g-?@CI$H5lD~#nP={7P1}LD}OLS2pQ3Osu9Dp%P6!e|>|HrVE3c5a`EK(1G zhhmD5O&V!>>*r_eLvY4^dFW+UmPwQ^KiMNKEvgF_F5rxWXs~mvdo`8E%Q5c5>r2bZ zdhAGnn2Z1YTOXo1S$!)eG7^&mpFDY(Ik(c99v&m~?OUapi*7M;TPY>Sm3H5Vn8{;9 zX}Y?P*S3l%&nOmMzv#{Xu&{M(P(bv)m>628`K8H$yYlI8mD?`$+jp-%cfSNc`u-Mg zhRv*&fu3QzHcdxTc5JqrneT0-CF2RD?4XAj*d}8iv?<>QnN4zvoUoGyKt6`iOr3W+eT6X=@jae?YtlG`ru>9Zmv_fbUpZ;&0&9Qc@!xko zt|9&Gs@aHemthK~W2P?1hyVSQGZ-S9KOH`G^TZaMaG$4t#o^}(_nAQ}!KII3rmbrA z?;oNN5Z3r+X@MD`M8mvv(S6r&`-_YJ<0Wri7_^;yTs+B*bZ@kRHQZnS?G=B&DT@!; zYh2QH_M5t_yg>-zdQFVf;iuN>N8n=#g)`NFd=0&J@?W9;EF^|ZBp4qH@)}CMPyPFn z#QWeFqZ@1R&YK&Zek#qB^%g}FJWnQuqN3s~bg__qPnXG4JN<=H+B(9|;*kcf7rf`|Q~>3L!h3jEoFY5f}dXzPu1XezO$V z$l16n{#C#koysd|rWg`%uM;H^5jr5;kGC8zLJ!ef_~h~9y8iyMA=kzJ0?f~fUf4HVPU~Wjg5`P_f(q?3qpD!0B~Fn^c+$G zTgyvJ`FD1A>%M-y+tr&Sjj#Xg*(4NqLFx|?$hUblQ0qJy`Ln6*=g(eaRVHGf$?!*2 za+*F^R3rH@0Z6InEm{em+J**n1Qc6O;~4&U|I*9rtjqD?Hp-*0kS9kH|Mt2d8{31K zUr{FqI?(p#NNekZELWgpfpd45Ee0+d;53EX?$qU+Eok?Rj}~WUFfU)eY_rgd8_A*V z6A~gHq323)vOuq{7)q7>6cG?01GcbB>#?$^)r92YP#F<)`p-L)ze?=y?eC+bE)o%q zPfnu4S|4l;TBy5rc6Fh}*RLN;jSC=*y>Pk`b52U4K8IKB7k{EpwhJm0{FW%-TOyW) zL`0}iV-pi+P*_-4wfzOptQLCN9>f7NBcAdQh*{N{_m5AGA2BwZQHT3E)q_6X-a3#D zfjtv?E1NP+Q332fD;t~D?jM6}?HVd51LB?-xCp)jmMh76<|mMdyeJwbCamh}Y6M}e zj{8zyWn;r#sorM?8kw0=v6TAsIDC3ZwDEegQgb;|ISci6h=0bdqoV^07Z-AOGwgl7 z&D_J^)6?~>t+?nIIJLm0WX+kFn+L;T(FGPCp1`B1h!@aaVea?7bI4mN@)AT0c{Rgd z@WrRjwGjotgAkBnpEyq*D&3o`8{VhL?mGt@3@9+SBQdE|o{NM74g2XY|Cce40 zDx!jfUL$pT6jLrls%1|Hv2`^j|0L&d9*peRmWUXh{73rSOuwisBC5z-OxEb{8*Tx4 zMTYS-tKigR$PMR&oF0#Eaf~9`zJBt2GqbD;(MNDX{&`t92Hs@f)Q9=gFG_mUT~YpF zal!mIobqHMmDA+-CgGO{`6MYM$J4BOl1>PtSpWW-)0CV1c@t**SLy_Byaax!<` zS=I6K_D0?euyZ}Y;2;2g8l{$Kz>dq@y(&0oGC5S~#!RuY;IMA9+s|9q!l1fcCo&9Mj+dLL*W zy0f;mUl$h?coq~`N9c_snfR_a)CmsM8=$RRY?N!;z+s)~kJ?s^H|rC}20_MyMXUyV*jsW*jGE&kje6syatKh;P(|2w@Qc(|uc7 zZxcO!3YiZG(QFlGK;W^?%K~bTAM3Qm3OfM38X6w%2{iT`g%EO$Q4iI_YG~;4of}r7P=<6%_f$s}(Z*p|-g-D);kMA<}Wp@3~jKgMX<9r*!nV9)}OvyvBAgqIy6Z^tF-iNvBPuF-jGz3j>QSZxVFT}b}75Cm`#LHMU zmsuaciVVDMHg>kE(@dE;LgjPb4 ztt6IW`R&%8v%ue~d**xW_8yL%+9q7^+8o2anjoU+oHvqlD$LGj|S0< zKhaLul1>GRmvq+N1?TVW zp}|APMY!aW_*f9%NG*J2D`4$FT#A?rhqb2?cDkLQFb3_9hqw2gl>MNP5Z|h*s-ON; z4rjv-fhyuM_(q(qRdwa)=t!;H<~k6~NTC5KrPt1Z!J=-DMLjQ#y((Ds@W65|kp3X{ zn|GPO*qB;!&&)6R;@KfaqIbQrR-Fi_vwd9lC0AC%sDAl%k~ zqGWxHs*Lb>jPW{@AptG}hp4^kS`N%$h{I}6>{T_(}F8W?} z<5xmaMMt9y%8Cz0#VmRpa?6D@FTniRhH4RlY zj~gDn>9Mcp=ukPS`QV9IHI8DQv+l+sG5^i$`k&LJV*{RuXp!1skGd}h;<9MAXWOzf z{HX9r6ers5PO`X$V~Bf?5Syj8T!0fWSB;3Dz!XkF*z@nmWhvZUl#nn!hq} zSD#2Si-gE`m-q2}vc&bfl?RrC>2fJwt3(Ofaj)ciNsRC)w8)?8w1zrg^)p~6#`_Pb zobW4B?r!daBNZGGkuE zt%56fMR~lT)&Kc#bv5%iI?(~z<5-+w?XT^|A;)+8>4cUD7JD)3%*{BhN9-h;{XPiWTdgiD>?iq78&5#hzD0KlE1fv&Eu?^SGLfb}>bbXpe{7fl&l(9fe~yQFaiFBLb|xB6S!%jr(+&Y?tK*;{8kPI?Wd& ze4p^KRKHG6utrnby3Io*E@dHRU+9lq%!zZWq>c^M(KB-_PQ8!Yk7> zq|S{!2S+LGv8+31spvcW3ZFX$dqh3OIdMV>jYMS*ysYQgsT{Euoyn_w4uUAPBR)PX z%x7+zEeY?K@TcJC{VF{u*Z+Qhmp)lTc}zdsj7?fzS-DHT%K2^gUSa3;N2xU6ngFLn zEs!z(z$stl<5T4pip%W#Swug>n1=6gKg)GKYyrz@vu1oRj*sWIM5K7(%EPSzr^NE< zJnox*6obTchC{XOcdyG-B-GA3F7ub>{JvFHu7;6EV&CCfE1IuziH@#HM2_lHqbfD8 zl#W=8;QrmSV}vqWdDVN&M@Rb>5cilyMn=yEi`ndeX*TSnQVxlGG+{f>_dZfc^ zhQ)_8Ynu@cMYG){4@x(or>e{4uUxn*xj))}}s zK6s6NQ#uFb``q3LLir=3g!or_a#B}pEfC+mZWjW|LdTWLlM+_ z+-aM<^S|M#9!3rheCRcvx5uM_Hp2#n`Lf?f=FKm?h7a;x_cXQ0G&EnNRU1@ z(b)17QH}R$yEg(nP*hX%14IRw+jtL=tihdv5N~+YB7wj-0H?2AP+eL|3f+Pf&;?Kl zd_c&!%D{jD@=pf~3Em`vm(yuIvoTiUOAxKD4{SjI`o4g=+fioy4A9+p07rE#WZpI4 znbA;*Nl6_b6(0Z#jTl?~VoVRhsz^;69-M0fGs#U=5$&)8)>gx5qy(Ccf>)&2~1YI@?JXr{2M?*tH zb_<0P6B7f^N25tzl@Gq?0Rcq016Vf*Nk~-Y{OS)+8zN)D{ygBKQK0;%_fUaO1MUb^ zEeO<4K?6ZU$Dk1v1&hT-E%11W|9f{wKt`6K%KDf7K@L}(6Qj+0nx{HCFM)y8g%W;g zYYp@ePyjasw>+{)#I{lP$Iaqb@fZ@FPaECgYs?mE7r@?AS|*PY}H3|el} zFipyT_AoWUgBxWadvH7cdQFQQ$xiYa9B<)Fmd&6(Fz808pb6V6UNF z0~swebnfk9kFl+7vlzJe4(C@DDrs>9pTz;~2SypaMsfJ5S@NyGylvA100=+gM5)1C zBqH)eHtnkiV>cVh8+D%jRq=QsU6-D^2{O*eN7C4I}0S10A z%<3^FCLy^(&jibs6uxS^<)pd=TmV0K4WhQ7-<$MjjOCP7K$_B9@GD3jVlpyV<|CEo zp_)R^MRorC`5pMsd>|9%{X$_~EwdMG`${adK{h}~k^{8;(?6n4Ja3Sr9N_C_(MiFl zHAEndYf5ltr|njo$UZ9^c9TUlc#iZdO1r6oh#C#XIJCDPn=QZ))bR@b%8i@XMJH5N z^xeTEqU0b#-;%{mHeg zf>hMI09zGbv1UAAXh>sce?Lj9Dy%i&^=pMZE#W{4 zfs4Q!aWm0CrICIN8bPm#w>X-&xK6tWfH$Ns&;`Z7px1S^4)eXJy9h!7=(i9+;W7D> zmuoX$1@upqovftfMhn+Q6aR5d&W8^lRMw%Vg%#Af{j?UGO<)B1j3c_h6QD1tL zdcWhK42+oI8vLs*Z3vo2SY)E3!1lt##MEwFaf}X6bAy*T;#+#zG8l|xWMpcgdt+Hz zSXl`Hnn0tQgM1;A(70O>QwP-M8MvzcIzrhyp{42*49R1u3U`%~@|nJJ z8wy8YAP%Y)Op>1Gi5O;2&lqQ?sf*@03=DClKN}x`8r6mHp2~$YM(K9Asah5Mn6Rp? z-`Uxj?)vrfsP@D=*e+0AP_oQNotTr54uy?nSK^FS(FB8QuJsC9R*I5``JJW zz>dPVXa+-A5ETs)aZ)Qf2dk@=t#Lp-2SW=*gb+UPxE+47N z@b$$68)zUQHvC0p^q8@Bk95Ncm2V8FrwA>s?ow+`^OJ%n^n%f_#{{M3Ry z0T+XKj!F`^*h-zZ*#+&FalFM}!YjuiJ*5YeLMd%QIWamzh6I%!vnx$rT37e#ix)4z z7lBPq{$bt^sk=XDM>~`Fl{*swpe>wVTv`INEaFy;ZDxd5 zKEcHsZw59_K28Muq2Biy8bF6B?Dh5W5oZWDVgqijdp;aU+yn_8_sfm?_b6%(JTd!Gg#peWZTub{29_0ETzW}Gj6x7>)#iJb2*V1x#M7wAgw-aU95 z&}lD$asG~u4lQCeKr#Xp5U0jO>(7@He{0&!b>7KChv&SjXlcm_mIdko=>&yZL@~0x z%%O$YpVq+Knk%?eCsdwXM4n`1hzaUO6k0X#SgqDDn|8fEiLUV zC?pf>B&zXK(-skN!t#OA32knric6N5g+7l#Z zdviY2S&hi&>5D?QccbP8k~_}m4U=o9JT#(r)?3@!l7j9d6zuw7YXn7&417wR^WbRl z0!#LVwslp>8SAZE+Ry{r4$!$_R)M2>40;EU`q5C3ToB{~$+3Gw0L=g0#=HlIhnoW> zBLxVoO@AREARu%9es`sutgJY=u)w5?JO>` zwi>!P&z>yRr2KpWh=?!XDBg(n$Da)aL|ddK!~mr+xf`$|V6@v1w7hv~_oG0i0!uZB zLx{SB7<|A~fOwS^6bQgXmdA_v6dbDW`K_*k8wD}{0oXx(kL2hRvZ!;A3{N#@o z{gW2M=&z_7Zu$8?d;9(4{}PNb&i_k{=@f!v@>iw4!jBLU*U)VFb;w`+`v<*x%Q$5M3XH~yKC zGd`wI22Yp}9xOUmC%^vzN_#Jnkm$nZAqfd^H$)Sc%Z_Doa`N+~hORE68&UU7cE>#N zH{2FZ3SbYSDVPlu)&aEqo?QVs9kf($P#h)^!#cR{L!qo()^_=Hf3&4V26B_}JLoAT zR@6?`B21yHU=45_Aq9oTvLG~}i^CPFSxbNwn-B_Xp)aptcv!P5SBZIiaWUJza$65s zfKG*mhMm1{-@d)N&)^vo6Qi<^N$uhRuBb8SG-^Swh5>=(?P^5XB%Gs#T)0pqp5P&# z!1+85kR75cW8hQaM98KX#eta|U?rRqOhm?pVGnU*V`dT#t?a&|zX~re0>)E&L|_O9 z5}T4^4G<47!$admpjKoY(OV9z+w-F#2v=~rfL93*NCBtA+NTJ`WW?F|z!pTBqD%{k z%)L%YcW@kmG<(~mW@>GFTUt?(FjuSUHPrS67mAYudR9+)i#Z~*GdVi|UOm@IPjSnE z0QU+{y3GfGe2|#xz~!8$cQUS}>wE}^_?_9TC>tp;2;<>L&%L}F~1X+1=GpHdqr1kF8^l$O5nCNxxYQt zNL#w;184{PlutYl2osl~flIN@^g{aTHnYSoZ1;#m2fhFbv z;qdb&282Ij6m)uAsFO7cvZq@7nfq$X2$DwbiZ$oj%T|x7UfN+A!j1f?hK3S6_bhRH zbeBLZD2X~?Vk{!VI}{~XCKTD* z!g+nc;Jxs)Rp7!fUfgjTw!q_*8r*Z!*_Bw&N^VJ3k6a|uHV$~g$CgjCM?w6qvFM7B zqJgPtK)%C1J@MtQtIM1gf#*$w<>@p-!wquh^mJ01c1N?<8qY+k2fhu=vAJ1Idrwn2 zE5h|ZyT2l`3&S%JTzsqc(P!?Bn5P=utIH-*R<(&rjIBG4Mi=z^YpM| zl;GFC#X)6%S(6?^XHRYZlO4u8!6Eg-yk>J>2jtlXYZ}o|W8KN|QhG_oO$&=A(x+wD zg!?RW^P{%mrmxzIYg?ZKRu|p}4bHt-)L3~n{6RL%!PW6AYefCQF@}%Vn}qz^KFx#A zxcj^4mNMc^Ki*3IB4m=AXnULe=x&y83>WTN*WR}{ekmo@o{aNOySuwBV8&2y+4(s9 zr`_3-*<7pWOGOe@bI54<(}N1t_9|^b6wU5y`c4aG0>RBIrb>6xRkedun}%-FMV{g3 z(WRFRxp{f}OeN>R&4*#c4$gj;?Q+fh&aYb}?z4~;QC?Bz29=!Q82JUiD$;y8OaV755;Tj6_$V$sCes&XB$i?w|F*2xO)?IOys zyWe)61TRG96b^*tsU?J(R8QMZIFjFA+&+s@=zc*WZmoH-BPYI)MN<89qh|%3Q!;2H zz9#NQ?(*Rr*T;UnPkN|dKCff|%~reu6Z47;Mwz9oH-px8;lLH=k%pWP2BP~F0`%In zsv*t}*~)m;TGNVjTo;vlyhn4!r^EAldVdK~mzaMuxqdbCdL^Gohih?;?VW&|_N()y z`lY3#5@XmU1h+VGh5C-|$vU}(k6(_4M_HPO`KFZ*H@)I$qczt?|0rmz9S};Syu2?@ zo^Yo^1ILMuGBRFbcILvi3z-Ts=hrNui;l;!$Y&+W4*vULF_NdSU3Kt2Mm9)5pVW|#J}i1(tO=*81C8sFqE$W-XO zb;p!|?Am+{r%gH7K{SEU_wzGN%m;L1y@ zf2PQqDV-SWJ$6eMx%4*3=-#o=gPpDU1?ZVXU)1wauNf0%I_ryfkH|*=T1w)B;3O6EJgx6`jZ#$>v)v^O2^ z-0^nw+c%OcYEsuUF8Yj*gCogy)C*L>_3=|znzF6&O|T3oD&KXyDRN>w@l=1y>SL-c zeOl&Ey@ZhESE20ptH+&%%|0Xl=K-kWCutrJPF zq&&|F*tIJCK$V_^xg%*`JW3P_8IXg~jQr;vS0NG4Q(z^NzcqI zyP^i@9fblDy!sOSE7}&`6vT~gb!}j~fPQ(tH~Sg^ao2FAt~ANZ$@$2pbn<|>AVHU9 zhsXtf8}Sb_3g2a3a|Ws(b=%3QT*VpwWf%k9GywIKqU!W?EMOF)Map$g1gSR}xY~h@ zP)cF`>Xg(M5+a9|`d_3zz+ryJKgp?WFg*iie#Cs;w|0V~01^FP43S0kF2jiPitw$i zUwYswt_QOnaEh-%I6yK{gv@{GweSiT#5d~DVptGJ^PQz%hN-rEjh2EEcPTY zUY>}0|G;+w&ee}q9al4~P67n?Vr+c#3E%$@BEh|FIJRX=d~ztxJVS(o(61+`yOU=8 zuPGJx;(zLaSFZil19?_Y(0*6by%hjW|9s-uiAj$rjl|=JhgVK+#n=A`Zg7?&@i7Z){_K7n)ziKtGdVFz-m`aKx; zNbzN7VyXp`6GB%bJi-Uv+dwKnW+9$GPfs-iS3h{qJ+iV`Ab)wn6a)<@Uoh(B+M}0!a$^6REeg?D zfYtWN%F0SL1Hv&{bRR6Djg9A^m280C6^xa7-S1DZ{*^$RN0iVNL@csc15#fcEXnJ9 zJq#Ws6cDd1NDfq@FS5a`0+R`7tBEk(hQD-~ni?MkX*8qLipmE$Zt2l5A}t9M5TL|w z&L2j;-~dtpJU2-`(zbuhY zHg~9Aod{fFSiD|n^0`^xib0nnn8G=(C@UL>TMCqe?`WUCsW|Bt=Lf-qZlMt+=y?D7 zr;P|;)AJf4gip>1ta%Ggsb?(O%)ZHKpL?I;RLMGRJZ~nbNRV;{TC^BA7oFM%{|eQA z&+SKb)D0sB=hGLTDr~soD9+!4`{hsm5y^`@IG>W%RALTvU;6vKa2uGNwVV*5Glc21 z1fEtcTOi%?y1rI#sH%iAWlzcYWrjqLTHMgN!?f$xC)uOnCGNSL@#u<)rczq?A=pAu zs80f;Juj}o@%MwV&)VMJV)ZSy$nVfB25NWOkyUa)>V>|HPExr*KM^m^3kJQwIQa5m z1~{X$mMpJ9b4U(quFOgH&Rnwe3w%Ag63ysU3vZ4HHQWXBAGl*9BYj`JI^(%b7x^6m zNyp32SS2QR5iTic2a0$APa;f-`O-1>weZFj`_|0d*GF!U2W@ZMCC5H3+$X8#`ZOp3OrJ|IV`Gcszs z)b5A#?!$+Gn`Q$~;cbg3FDMp`rPwDE!K^dPn-Rh+3ztXO%te?vKxo<8Q!Cfi$O}vN&fdfiVC^as7deGZ}yhB7{JLLffOO4@OpO2ItJ~|7KsJWn;^E zmk1SG^Q4PKE*;5K0{Th^tY$EKm$L=`f@#&hhf44UEbz;>8tl>_oqTdXc6;zaJ*NpS zUx3*qg@91V%F571eX_lMUSo@2 zpl9Sr=ueTO9X(c!Qbf*1Oe@IPrn~#`0A4`LQve*|Ku&!x^o7}X28PsW^s6^+ARrAI z*uSm~BozOz3snB@9eh#b)|DFykidEi+JK)zd+9=WdQCWRoWv3o5KkUZ&>WVV^UAGNv^WJPS@St}9E0M!*%M0(tW73PGqM`y~L=ylS zFtVtnj>7QW*z`08SYL1`_z6G)QC~oY?+Q)(5qStEkwKE`AV$S>|H% z;l1`raLiD^Jt)Z82?iNb7bfxG0*sd*K9Coi_Mbt4YIqxHrFU#kFi?K4U)QT@yLtmP ziVP>cal z#2!X2E<%`OriAM&ULpt?v@gUY%)5Y;Sh&|=>~MRu8Kmk@a1qXrSYdMLdU}MYu4Xd4 zYB}re<#lqY1}%~ibzyK5Mx^{;V~l#iVd#Hw;L>^%=$azf?lO2mbTRw{mg_n)gG=j0 zz|PJ-(SR@7oz20@O8g+2r-R}i7A@R#a1}IVRxg69w6tO<0$5HqzMn83djT~8^|_~T zYHI2{?2XmpFRq+w&<-xb??}Y4xZpm7@r8w~A~zr%4YoFEP{>6amvUiFF#);8V|o(= zo0B#&HQMJxDS(pi0b?!Yv?HFmiGW=Hu0uU}(x=!k-a^0#$-_-C^9r z0~HgZXbkgYYSk_Rh$sLVi1^YaG2rVrt?cck;WtIWU_SzC6a`EiP}s;KK*sjR#C~AiQ0O$ezrK8glW#4N;LFt*t>M zEQDkLVD7&I&Nup|S*GTAkxEBvXaeh?tie?ZbC($JO@z%3MTCQUTe`C!@>F&6m+2m8RpEOHSF7zrL^ zODgT_CniSS0r01P@&Ac={?<*PKK=_q{lAOt&@tNMUub<(*OyD+CN|XFJ93h_;!j`w Ef7RO0wEzGB literal 0 HcmV?d00001 diff --git a/Fictional Character Battle Outcome Prediction/Images/__results___25_4.png b/Fictional Character Battle Outcome Prediction/Images/__results___25_4.png new file mode 100644 index 0000000000000000000000000000000000000000..3a330182e80f6e856b7949fce73242782dbbb953 GIT binary patch literal 19099 zcmb7s1z1(>*6l_lq>=6tK~fN;K`9lHk`e?YL`p)sK|~rvBvcxal2k%cI;A8;kQR_e zy6;@zIsf_od;j~~>ti77z4lt~n(v%rjxpv6Qc=2rk3)@vLZR?)-IP^Bq0si>Pct?q ze5dTn+FAHV#6eEm;jWFTgR|k2hp0P-4z^Y{4p!zyj7|@q*qhr}U*Qqr5#(Ytb8xV= z7v<%B{O=d=*gSc}yOx-E4-Rt9_U1i%6pGLg`Gb}zm0^xTDPZ4{y{_&Ozx2~pTm9ia z*6K>Z*8*PVx6C+Yk%8%Q)6auaU*G=GrS(mAWEAhdeHT6#cdkHe!`0GHT(@suu^&_{ zlI7b**-_jlB6{_BX7{kRy_L9+%Jln;ht!~BUWjX_edlLFJo~PX@%E(B*l5hm%>4IE zHRw>p#Kan07v16iB+Vwuva%+Vaf?BLfr_+I62!!jLB>UF@Jc(yEm>LFi{Y(_fq^Xz zd_yF}#IJ=f?sL3)_3Bw?f>?b|4>6AanYThVSLcs-@0X$crF}JWG^reG1n-%du}jOy zgq769$J64`T*afOr&nPor4)1e(6e<%FiAS)%i_?-_NvDY4jUv3UlS#0;6SC;KRE{N zZql11E#6gATOB(-qNuK}R>@MgwY9yrFp#^p*32+1C0L6${U*UNsk zvoTvE=kk;3n;-Nl$n$HC-2CbDy$<(Wc7Mg*j?Rbg&CJZq^`_(g`SXYVb1s~5rfQl( z?r^CM11S#1RqGM6jX2KXlE=dv3I!=C@Uf(GqgC!%j;sc8?d$Zc*-Bj5qCVLh>s?Y) z$44v2$?6<@X5EYemIHVg7#PAXtBeSX!#y`#nmc~-9S;=v!uC4g-@Kr9|62%qr&4FCq$QLhsVz_mwxnuUXSL*Ae2N*u8-)Sj% znDpjNFsxH;b2CgLmjeeEBO8G1`WLREPldi_vGr9Dun!k)kC2;IXSiO-J^P3BV;{t zd48-QGZPz@OLXvf=B*78F|jX&fd{eF(asbJ$>CjP35;T$u9O@(_RaZz zzmFfU7#SIbmK#JXJUrj3kF7c(k)U2^@^*2yD=7k^(POQVVs&GKt9W#5jKR1mG*X{} zjLfhzUSxHB-A^q`_Hb{L@9__T>DgJ!$6CE#-B!o1i*JwELl~}ZZZ^IVw0tM}@ln_F zhzLT|gUN;s9@OX5kYZs$C%LG2?ZE@a#l=Mkcb`1Hipia|DYXR8{jG_i zM@bkcS$TPddNkHqDr)Lr)30xsn3&L(eiZwKg@tXnySj8pGBcmyh|ccY4G0LR9~z<> z%+upsuT&_nx_kHT8pP~vzWZgiXxG+aeNtos>VE#Df_@{wK4@ zjZsn0y-!Lt!!|XCQ6ct9 zfi=->{*njmG95=89GuJcGm4+AhR(xv7ZexE!G*y~ zRKde`a#{(ujiAjdSFZ3mEo!^CyUS#$*TKzSsX3MupbpclDr#EXUK$R7&wxEu+to$L zsri9@{kWoG=Ih&@5BIM8-mZalxTl8o9^BFh2niu)DZNCViESIC1 z`{428FfvX}l*^x40*$-U@8|onSUfyE9rGB7iJ4G=S_YmP$o9gc7PyHbs&d=x&7Pf_ zVu1kR8u|IN@ss(thTinsjaRzFSx9mGgYQxS6a@5jeoHhgL}n3tf=CMc+ZBI4A_ zd)4N&JaUPPi%T|5KCIzjcU?|VG1S)4k*u?`lUY!(xNj}dYtOu=!r5l6l`SdIu>Scu zlu_@yTcU^6R*xUcIXRWU7MKj-t$r~OMkl5zVBRYmY*YIbqqn@~Xz%vU?rzYfyYB%Klx;k**$9f4JP=hiJ^a&mH` zzD(8L@+$Xj9MojRO7%C^#kW`Q zu#@8OdF26XNpSQR7#Nr~?d&SqxlarGTkl`KoMpEW) z#k5Lta^6M}Nw{zIWqBDHrJ@+0`Kaq51zs1DF1d>zQ4(O(T{W@2y zqc<-O>k$|h7LDZHe6?B4REWkiK7k=2oc2Hcpr|l;9d2r&U8`L06q|&bTi4l{*B3CB z_Ub}67Mu<2ZUfKFXmw2$6-H@k>1PQE2`!zSF`c+RfMkfEvUTse=teo4x{EP^S5(#9;-q_I8ROZN}qRGe9-*@@mw#&n)PzDoW*g-2UdSy)kt%Pvt6aN=LiTAD zl(MTx&0L@DiWQp)hz=z=hMbmOPQdUBu)+?>!ywBnj@20CcqK`C zs#G{VPS{S0jP!*Y)0eADF)%RjE7)#t<2O48huie`Dxx!E-p3N<&MO2=XRUvhvvNbQ zwY0UpJfa79*(;76CePA12tbto*px8IMqVBhfo;{E`;*H*D|+p$$Ew3tS8b8XKi{8& z3Le|eP)d+iQ&aogxqquElxn@9a34T0!Q?pap74MQ)3a(vfGQnW$INp zrD)~r>qM~}9v=2UXz`bx!^QPWN=n)&cU_->cw}Gyc!7gMVZpIggM#&VaL+4T(5xE; zXQ}h>*Dh?<>oKjPwY6v{+wEn&gn5HX7h+RW)79ayCxo2!q5A%`#t32EgV zOxW8wIbouzI)A0d>OZZjlDKO1-3LG}0%o{3E4Wg6%nEELqy?&My$Mi-LiUg23Y+>N>~C zkOb$7kHhK2jHX*6cjj~Q74!y^qNDvGSj<~nTG;Iwpzm-w+#Fo{osl#NQI|e2R_RIt zX=P{Qo3bk0^4#?4+kIg)Lhtr+wDRTGXTGM}Z9x8>0=&($ZnL$zdy$Pz2HThFis>s+ z%~lNp*5=@_Fga7xi`0S^&%S)QrWh|w?0tM#x?EGqX6xY4@V(G@4f=oy`1j$!Ed_-- zh~3+b)a2yv$rkFZN6LHwg2(QTdiNdsNhY!4(_HOyTbiB40!U*{A5@)W{IH6*ef_gc zzs%R9i#i1GYxU2cI)DY6Ka^sFBvJGt`+C@_%f^uFat9$og>A=CTgyK~VAE55=lM+zZHkdpo8_wlwy2^1XFL?a!O)s;bC4d5q2OIylv#4nYWp0oUq=aUO z@3xUQ%Lk&}npV>cjtJ`F@49jT=VfOx)T&gdV;SL16dPRBw`2rRaOY-=@p6h-Yk)53#*E<=%VA7 zym!$Zh4h3-EHFz-(gTu?$X%G4LJyPod-v`_mLn$W_wU~bNH-mzf$rnuK*#2JLhl7k z6xbv6` zcie2$~{*5W<$suVb2f$3Lj*e^^MFJkiW@K8#)30%DM z<{8vjg-r!FqqfP}*#P*DQDZO}HUYtajur&^_u*lgT+P^BeYb8vQxgjdAq-wS*B4e& z7pkxT+M5EB0>e{TVCF*on*Y{wXCwq*lz8CiW4wD5BQVM z>igw)85yxUNiSbMjgUH`yk;jP;G;J7M`~}51$B9TbJEMp3-W63{F_RzL(!{`f4tMk z|FAst@@>1g2i2W(P)I+S^_+p-IOnhZM0)|adWA3w?fuEh_hVpj?W^dbx71=4yTL<1Tc8a6I&R1DisMpL9paB(46 zytwV_*RMSp$_yUIhuaUge4+Kknj{w6L$|U2{oL|E2E+r-P!JvlzB##50&J~-Z6Lr8I^W3Jx zB&5ef0VtG~l|3tYxN+CS)D*!-JJ2>3x@}r)%=hEMOE2r(2h>szD~CkogN?bKGUpX~ z0LtO=Vbtb#oFE}KLbP?~>I&`b?2JQn?Mz20tCU*nK_fI1xo=SL0Il3m)%_!>N+~`zGWzT8&$;`cu^G=7DCh9fXiFyL&B!?0Qxkwh5Tnp zNeuDv@kA69Snlrbfcuz*g|%1KRseL4M=49zez^B>wc|<`3Z--W9Maqa*%Js=oGyf%yVunylgG-+Y85Uv4K5lI616_BAN%;q(&0P>ydg9Prj0@O$k{U{(HU+ktkFb8{1gD6sq0M)q407YQMJd^zBP00uo} zxe@*VdJ7%r6t3N;SKKztoQhfBd@wka)P2H*q9oI0h}VUa91q;oZmA&Z+0e0W`3>ZNq&jvTZK-RZX} z8k(D@kko9MU-djWnGw~rOUtPV$xXqXZh6hw?qEkG0#6H_-ltgDzHs*w{;^w1!fRrdGoYI?`t2}IJ!1_icE5$K>G z2#%2a>b>l~bZ6+w$l(r>BKWzjO~J+0H3%p{OFaVhfplkS>_W>yo*sZ5hL0a})6&w) zB8|!KZyCk&uV_~$Zd<{vzJxNdqCF)$qvXHkduUEZm%?123Cs{ z*17lLZPwY{@pN@UcU!5Up`p6w<{RSc9amBd3RH4N0meLo%@r6C;k_s#KEINXn8?G- z!s4HklT%Psbl%t3H~okp!kuu=y%M0s#L5b+N;ft)S=j`p*)nZ4Z<8P>| zzgpeeB1cxEzFr1uhN=h9C~9hRNdxU{VHn@JAUmo8m0>Q26n zyg^$>Cm5<&Anb&DRwHGq+0d1&1kNV9D?vUuXK88K^X?YO+H%E8@YAPfvXoR+Bau!U z>9~QsQm({XQC*1@b6&>2aif{vxY~U?4=BNG$SV|@nwoX}{Th|4b-0rNt-6CT2=(09 zWY>aO%*F#o2CScnS&!+{XX>5KrKtV>HVp3+uJZ-1B`_O zn-FORQ`6EK5BIl=O9VIU6=S>TvJ*+A=lH$_2L^`b0a7J%yTue~)eK~Gc3u5;oHAe` zfc2q!a}QGk3Lh%Vss}-1jYROy-rnS7V~BROhsdAxbvpmFF>(c{Wg*O@z9Zd$8O3a*nUr=<&pu!1%baYgM4wIOeY7Tn+On|ih zi(^e@(T4bs@Wx zi!?@q?u=^V?%3voXg*TQNBKSpp1Tog*T2&746yF~{Az%BYjVm8;P$A@g z>r>1#)UTw5X^I|e7>@~^u>I}uT9fPO_;|kqg{&5`8xcjID4G0>1^P0PO-qSJ*w394 zA%GiJ>m`PWa`%ZoaIgE?HSTXFUDh5aGC~Y;@G})_Co;mLDG&=HTa8YSyk67zV#$&N z(HmZ36#IT$!yhWiM)ZV8u1pL(kNJc(qbw`hk0+V~a(^PZY&%Xg2lHefY8=0k{H*U` zCnCjnM3=bN9XR=q(->0+K&_`CzCoKe0s%ygQfVgpAO|^Qv*MnSb!$~b!xi()R*u%_U@mXc(n@8r1uKGm?xeoa0@JJg*g zpEi23D6$trPOk$W@2zS+pFVr^iKJsvyZUy%Z=`ee4UGusLBF4!zNmgB%)oxQ`R|2z zB}$w|O}y@wpwJU$=2Q!-(MnerV0Iy|Bd7$a_kd)-Ws^`-Ob6j!b_(danB27Cq$ zZ*5Z(CcySMVLRsF;NXp5|Gyt%lbtqJ0$mLxKT?Fixk>Sm3u zPShjhT2)D5;qG>vg&+`an1qCcw17hf^9`DlulqePHxB|_Jx_~!dXn<&$$ZnI?h>Ux zt34|Q7C?=v{rVLj%J>NvYHe(cPDmKRzg=kDOb{>WNnPQz^b|O0olj=IBK9*6{!F*V zNw{By#O4s}e-a*Uz}pPyKz?!j!NbXki{RW;jcQO*%F4@AfjmRR6KK@gazi2_ZU7w* zJZ^dsH0&mi9!>RS-4$)_IN23Xo4!~dynH(k+_PnL*Be1xP!PNhN~rOh!s$XlYDt4b zsqI2F#bjV$fRZ)=)N~VqIhRL74p!?4Q9e*Va%Bmxxh2HJytiLGy*JOLHuGGD+hcj_ zYiqA_XmLa!DT$v|L|1L(w{Dif2(SZf<8#kZ*0F6&xwElga*QKdU4xEX>Hrcx_huBp!<% ze6aS=larG(1cbN)svd$6!V1MiMeBb2poY`buJMx4cl*tX(EHFP3qk!4a9aA20*nR9 z2Z%2gMn)7UcA_&N>A=b;CP~t%s;Y|OGrW3$B%I7MTn5#&_wL;TnBx@#J|l|ITUlBPg9;{PCk18hd&%Rsi8lsMQ-{jX&z=5rC!u(T;h7AQGym>9 z!}0Y+jHE}fjn%6Pk&PaxNUnR5Dxwbqhv%Q2=BmfzcUSNrHTI9RKo-5pcA5(dkk_{~ zm_NV_L!T=vR@0AEIwR*%WA#j`Idx-jngo_mod3t z0?%`wy7F*6U38E~d*Y)uZ~Wdj0)GsgPm3?YGM)44K08IKv+akANWRv`3UC&cHpKko zdWnQ(_P&2{?t2cUkeiP@)4uUJK$qk>6I^!B5rs;W+@+LUr%rU^p@`8ubIyIK(8`U@ zWVGnRq**HwH9FfI6`W!Yc_c3=I-3iF0Sf8Twzij#0Bd9u+`4)cUMjO)TUuadd49$- z>Wm}t<=h&EKg(n_f`67@8|rvVv6Ft;A7h)E*3=k3WlDXiguNA5qc7$5$L(*rVyAqWK3=ciNjxejI3K8& zfa9Nvxjl7WK!vihPhBH%Q3wbsAe)UrgAsPyV1N4bDG@zA((S1`niXAkK6G_BQpTJY z>hv4C>*`|J!#YxC;s35C7Y&th^hs{-A!lXr+<9t&uQGn`UE_Av}5KW~Iw715yNQ{B~YEjpe{i?|G00@9$v-T_7gXx&-_ zF!raks#!a&1teBQQKM9}lToBT>HRg_)VI@p>hOd&AK4X2**B0oh0B?dIv8ZHD-Ktv z#GyTk7}7M_kSz~MbSLv(cKT8{wpiQ-#sr_8G52F{oOLoH>hY}EC!Au6{HZU+;9kOt zy;;P?!Fd6iazVl6EFdHBK!^t9oL|>6eJc%Z(zL(!Zr4n*SClyFT2#zul_9g$#tQwG zii~Tc5?4IP7cjzfd_!p(bGJg@lG|o$yesCl$Ne&zbu(K=J>k=eE7pzcyUwQ1A0 z^-`bbi5KkoMU%yg|OCl=7j@$5nr}+l}s_vXpBBgv)>u+HFqp@j=Ex+FHUGF7ADYSZJGbPx7Z zYAG*q0EOMz8k~q@K>L#!@e_M{Vk#ITi^9=RwybhN(d*)N zLf>d%2hT}~(pB9U>C2XK{Vm7kUcvKzV>8M+dwoVsi*xouVCaWD1A68R{Q%ggzhk-A zHjSJQRNvh~#dNL%H-TDQjzMl}C8s{(*Q@wjRMtyC|X? zs(80dD#cv{9z zu`J_k%wJsTV;I||vAbl7|K${Y!w-<|53ES1_3{7V5JWiG=;uoiSp4rAhLph_@ss9` zZI;jdAK#xAzaDW~Z##eP{DryJ|Ag9%c#BQ>t=#UXFdOX}cK!d>gIq(ySV@LUHYpeW zM?I%b@p&rL&jbslCrv3#Q-i78{Et@PdMC-oX_=mmUmQZ(nj)1yePS}?o*i$62)iWr zxfYj}CT3=y>sPr=jC{7&aRdVr5gD1kPO(L8XD5N@-p2J4NCuQ;3N)LL$bH|wr9s?8 zAVF0b86tH(8}%1jgH?ubapW_JzrQ~Mtsx%MMS(4<2V>9bPv98Odv|wNluqg|>^_6KdGqEqFn@q*`cCxD8-eR!pdeykAVfhC z`4{vSMZ~qv&Zexp84i-pC-yc8z}#R|Q`LclyWQ|u;2)U#1XlyWRNLBmD<|)?2)q*| zytwyrlXbzN5$W+>ViX~kU%Mw*4ro`z{1HZBTK zt{Jzo!d6dD4-hq+h{6Ibi^4B3zp=BkUo$m*uX(t!;Q)H#O-K5~1cN{2@4|Ube0Ll^ zL}!q9eKIFO^gjTfX1O*)MXX@|DstDt!s zA06!8ynVYK5Hc|tS^Brt>*r4PLIBqOWP3#w!s8O40ABZV7<_)hdcp`J!V02V0E-Rg zDHd^Y+9Z!ZLF$80S0GFqTOwJA&!0a7jU7N&#;aE~^R-X50X?48kWANOe*%h`9CZ%F z!2`smy9ph1LRP~ick+#;LXA&th^L*Sh*Z~UXAkI>1=4L)<4KFUv=n*#aCm_Wsl2wu#j55-kjrqqy^qy? zQHNo|)|Nj9^jXWCiAO@!DEB__$Ol`)HtB8PGzbLK)DQOS&;mrR&HXG&60yGsmu9;; zuVE%YjkK1+&dam_Vf~={(Uc8^Tl3twUEdiP)&@us1+Za(I5z^pPuPA2uf%HTsSyCp6Ydf zst>mvsx6cNOxP^KVq%uu@UH%sp=@)%6BgM(v4gwwVE4~2&}b3zm6(JCotKvv}NbibDczFm+ujA+hY}$4@JXldV)h}N%Mya@8wq@Kc zGAOf6Q4+h$PKwlW+5S+a)@qY2PsdG*!R3O>TAGfOvSf9Nj=9+~jM>+o7~-ubOv z7lxN!RB9sG*r?ustrciNe$q_Sn~W4aI_ZorZ}7Mjm7jFa{an8kwrUQyXfQ#Y20iLN z*cnj;PD?sa0=hG6k;@7TWw6U}E;>HiUm>QaCjio&R?Gj{>GOboTciis3-c}VC65HdUm&ob!i1wdCR z#$84Oq3A;(B_Jz2wkbaMs*1G?#n)#*#0DS4BxusWkkJ8Ceo-;bM>S3UbdQ^$s-mjk zD2P%YM8d`lvZ08G2z9J-a11Qd22Qf%*t|lHf9#xN~guu!Tp5pw#lS@`?jjLk1eJ99~=9a6@ zQ9M9Mc^QSQ7BFk7+S-AzheIj(&MXY(4|0+xL{$+rJ{qd_bgv?~2GsTqz0C?AlM$3Yga!(#A2L1s!Y?y>ARvQw^rM4H_hDtLWm z;uPD~=0pJztzh`h+5-%jxsyPj8Uk)|Tgd}ZjQCcl1aIft)hsapi7Qe5)g?ZpZ@~ALBfcS3)u!WUcFtQ;+cUL z<>26;z-CMmc+{S8VTN~FMJupkSvFK~V+DN+m%~=Z$CINM!x{$%DZrp{Q%Ol4%rpQ; zeSr}&>%YXoAuTW8#L~RWAP4P8_#g?fYMAENm1Jj-bm6jTz+Z{-fz$$8I%3Vs27;I# zDl{m_3&l1NY_R`(qJB+JGm41Zb4vgRK8!Jxm6d&IY{Y>3J@+kx5J?Q+jQ}f4EqI&Z zlTkkJ@4QWg1)-Gm5C;3D3fx*?dN&pZmGfWk_|UiNr}fMg8zYQ<`pf)}QctF_!Dqr) zMGtK(iV^(bz$`a|>>bvhqs0Oh8mcA&5CIFM31T4{dti7ta*>9nrq3lk_a3ZGHo67m zZL?TIim^y-^GftIGn+GZZ}bKu729%sW24*(&D<-0r1P3id8xbAA2do>2S6+J&8a4U zMOC`^`h>saaPO!VHT)0#WcpOBd4H-ynG~Hux(BDPh_WmCXM?r&A8Hd8mGjhT2fEq| zn-`{EPKZ$P6HfIeriE?Y)w6#ktH14LV)DsA%pXQblK*HMPxYnwQ$^+dUuEd@6{7$8 z6!8|}e>Rd|_>dm-Zu5y;#IJG6!m>Z}k$zR7+Zuh^k)M?>5J-t1PCt8(Er(gd?zCB9ef8A5cu z_jgh*>EjJmzc>2#k}KTX{hDvPU8$ArvG5*q$3zvkvUE;JzsW>}S<+IOlv&k{_4 zV2Lq^pz>d6Nv#lqWzqzGLn7X-s1le$!y zvPI_my6UyoZm7PndH%6^vEYfXkhT8)c8GNVeQ9^fEceJ~^Pqb7_|?sqqAiaI$@^6V z=f8|KBv4vtWHdg&kfehGR^PKRpB9K)p*Jl5}q7^g~bHa$P`P1mrgW{m1p zicRfuguc4zJbQj=bwbwQ{;lHYx0lY~QF@Z$UX5>R;rVJOHAuVf^+aw@gVSWBK-%x( z_GOb^*1pZJ^z2b>? zZb%sB=+Jc_qSqI>Sz)S0W_bShuNE)1-?O-n9^3Nt5abYEOnqEB{CzE##%s4}X>4=W z>V;kX`ITHT+%7lQGOwU|Ex{OotNoc&Y%t*@2fp-A_p3cVXUp)LTQ6^Sr~bk}DDR&w z-0V!W!$i6Cx8{Zx1cvf#=V9c%&mR93r8TqnF{shNNP?j-F|#~JmD@dC?Hsh;)4?XB z3FZ2-n(xnhA5E-%ck?>Bhw=#>wpvs93bc6rM}2xHn_P~b0UUba_EG_2#wF!F^H9#J5NxMy-AU4ryG` zw1QQ+y7{I_gY;75(R~S=%ezx1!op-sob_ii!oM5ePs(@^ZFuf>I;L`Ir*wXcK&Dk+ znd?s+tkR0{w-5C-=&q`MzVs}!Jf8zN8kqnBI)!LJXb<|cHIzprPdUK3IU!8)nZ;4I zZx?tBa!!l~k?da*D{Ug9qcO0s0&qm+Z{=bCrpCo>|3fH5PBz1I6#JTt+EOm7HwMx< zd-iGtG&HT}PUZcq$+J*3Ut*kS&HRqks+E*Qp7^J<36|kAIYMxAUIREb@#`0czqIey zw?dWyEN4wS;}OG+wyrJ=B9t%p8~xQDTWlSxo0w7P=0YlU zM?gY?4$y>}D|p60*kZ$EzoZ^Mi^g{>r7`!F%^rxIS;c*3^{`L z#sxqxGLt0$-tjA@9X_$K6mFaI7$~zJpDqDheTqy7^6(G!Q5Ww>Lo$~SrS$FSPy|aLCK#0i6gF3)c0n)?03d@% z+F(UTun%~QKRC~ww0~sdx0IbU*hyh}L(a--k!1l;(gTp0F`Mg7_~rkQX#GNy9(5t# z{PSQ=Z`H!KJu!9^8WBVSMd)MtN?d){()_Gbmg=8n-~asyZ*Wpm|ALdh)!TLajw5sv zif`lpn@PkE65@&FMI4)QOML&$+l3RbLw_RH{!1suLPKv}3?sjlexlC0zF0de@t+uk zUI0akX>A~LYMrsY3U(Ia*Ia)a*T1ax^!29J#Q*f`{2N!%yZokuHqv}5-5Da_Unpw) zuipgwn&Gv&fxeM{`gzb#!BK*5E4`r5KPdb^UrsGB8N`<}ITKG{#a}zi^mVgf3Yn7p zl+%^_t45z*=U?1}_4lgK(4(q)n6n&Cm`i@U|G;LTcMG8K$~5)w+UNhnOY?WRp?Cl9 zmpR50dkT%P@t>h7=Up)w&OVXl|1dr?%(XuOORA24*}}`V9o3kB@g}_h^)iuN`?7T z@We~40$W5QNN^h7q5WY=2?@Eyz|~6qiGwr@BLh$K^La7xD1D%5KtsXSM_L9Xw^_q( zRLR$ufV@U?IC2`dp?zUsguuUX}o$d8X=?H&m zzvZmE&nC5b4XW{gA!|6b#eL9-%rL7t+4VqAwIr4Q!HpOWoN8Tf?|Cq>%ERyw3Yh?? zPrn^YbpE`NZ9L)Kz_vLtrl`n-1Y}vkslQhLLXlu>%tR5H_C*RQ`1;}c4S}#l2BDyc zA;T!4v?Aw$fvtzdM`nS6y+K0(`C_u6ZQ*dD&y|-y`GvE$y%GT_G!1+-X5Zf9Bf?N$ zo*oSf8LNRwjuho2$rez*U0j4Ecc-Ipf}knu#nqKGY1=uvc(?KP%1vGvyn$JAx9P>Z zsc%A8Y)-qGzv=RSd~$#TkjDId`34NY1VVX4OyW7B7nswK5fo%93itt-a|BBnphISU zun6|H!ZgZduLGA3@JZc>pqEooAp)KOIK!}Pg0PkcK%ap3ybe6l*`lPWIJIzQY;a)2 zkXGpMTMZG2eM?J)z+~>SL@y<~{IfIJ`}gY5}SZG8SL0(-Z(?c29+&~gJW2|vt>gX04q)?M`Q z_DNm+W+w2x%3TP=o9xT{a16u&=fiM&PF+i2 zs9)@8WG4)a1_NWw$jyxp1BYLL9tAr3e!n3x0$)7mfDF(20}n~~pi`Xv2c4Op|3nKT zX+G&j|9_tNKxMW%UaQk3Nr;c%2+nX$iEuEzUr$j1%6>i45qS`T&FF`9Nq|ye0IMiT z2Vwpd_^KCiac13Kftd$!i>(*%!AXDmBnB`PgRl68l@%9w0XYu7OC7ADBYeVLJ-zb+ z#E~g3HXi)<^vWG-+oCyP$}s{sd?s+TfiW74b{1LX@F)ND|8{TEqb4v|)Rq zVhq>-0s^og86Zz{cm}*Oh#qHFZ3g#Yk`)&MOu%}C5@oyl=i$cEFolwmlC7QHb!7H_ zq7K763G@J%L_~B5WTqSFlZgp2C8?1xur^1)1Xca;FbxDgQ0GWmwS~9*_F9CIY2;}Z z;x3ncCNpq4LAM1ryH9bkAoQLEc2n}XQy^X816}nLz6YdAGFe6*qIN=1B7R7q(!rIF z3Btzhe%(SN48V4V#>U9hA2W=_S{{NT6b{^tbh=s!oDVV4JI3EkZT!#>i0IaYH2?Jno&TD^3=m2PFWC$geNAKN|d*SRiD0AAba1z6Z!%m>7Ilba3E-82gcFU8ZM5$PhE= zn!S54c&iG7Ccm|%v3r2ox|p5bdG%a6xB$V0x_; zJfu~1WDFadsR7hJxog*a2KFFGVt)+QqXI$kmUwdb6a!Zl6wLHN$d%_|;${+JS#1bL zKA3^aYygQIW{#0*dHBk536@=i`N9QR7=*X5$VM>&7r)gqbzZe`GEU<42gH#Gia*@j zZZiRwrQ*TM?ps#oo(~=*4+tLuP>uwPCMEFUoT-^*iKhPopAmW)vQ;?F5!%Q0{Dqh6?eczP7jI^|aqDob2Lp+2Hc?Sg=%}6D z*`(r^Tq@#(wc0R!f^aN-NK_JPtE!E04N1LMy$;BmxrQS zi;9c=YiepbHlpNYOxDavF9Pk9JzC*Dv@DSlXW)iLU!;japi`p9OG06XIU)pcfVO)3Aq6~F zKw|}F-Vyr*ko51SkRl3I%GTLA0J@*fB&i5Abj&$N59Vy~_~aWKQV3a}lf&t@wHO5Y z89v~n@9-=cWS|(H&VWLJVC)CO{e;koHi7!F23IS&MZF6f5NPu=@brvYa4@8M!uBpj zp+Fo*swQlF7=o6C`vjg5KF}OO0Vg68sR{}>$hZ*@@i(JJM_s1yVS?BYo>p?A_U0Qz z08Rhfu^Mi51E7!9uR>#t5I)da^Vk=qfYlNPyTTcy!jaQVyAdG|6$OeL8VbgCYGL-W z0A_0eNlGCm1Y~w9LUQkBz6)sN(9a!4goWV~&L@Yr1dk2{Q22eRz{>d5=7$U0{KKZ2p6IjS(n|859G$|*shJ?RM yUk6aL%>3t&P6c@w62k8O|J2j};Y}mQ=$4#nZ-@S@MZ<%lP`BiiWb>pSJpEsd=K~x7 literal 0 HcmV?d00001 diff --git a/Fictional Character Battle Outcome Prediction/Images/__results___25_5.png b/Fictional Character Battle Outcome Prediction/Images/__results___25_5.png new file mode 100644 index 0000000000000000000000000000000000000000..b5bae7bb7a6272640fbc0a1cbeac3dcdefaa75e9 GIT binary patch literal 18351 zcmbV!cRbdA`}QTu&YqD?nOTupNRd@!hHN2Q_9!z#LQ>f)dyC9$$toi|WQ2_Dtmph( zy6@-y{$BU*`Q!P%T3;@o>pjo&IFI8vucvA%Hwf`)@lYrfp~6kMJ17*!KKyROIRjs* z6kNxGzpgl6*LGI7Gk111ax_CJ8#&wC*g4xgFlKyY=IHdm&Q_3DgjblG(bC!3-bsv) z@8Q2+z-#Ad!MC26r~?ndwZEz3ghCM+A-^%+NoPGkp>EJA$X(NLd;4qLU0cKKSbA*- z)m?NpWH}V4;JLL`vwwAf-rQiJkos6>10hej0LJ^ek?1*F^VG}-VIyhrPpjGEQ|D-L z3oeFhWP z%*@O=_msBfOd zn3+rLmA1{lPq&2O5D^8JmI|5*&{WutTlF6rRym#)h$mQIUzZ;*yt34rf+^;_aKG%( z%)-K?IfP{G_wOf4>`lAtGvO7h^ZE}a3tzpWZZ{S9dfLor*XNG=t7Vs%*RMleC)}|y zFffYB%LDIZ%UN1psN0>!m+(2Lyc0=JLh@M9qWk_}o{si=TYBActGn54xr(wu1do;2 z{qJORZ+X|atuw=b;Fr|?vS96w@5Y>Rb93|e{%m#mkcw&Zp2YCoUAJfFC25xi^P7^d z`Ewq=vMQ&w9x7Rdbb|d8J(~n1o`^xlq@hsP7N9w$*i%Lt$czJn^m%kNHckM&dYNCiY=DNOm9=Ao%lcAay2XePYc=`BLf6UJQ^sXtv!p08k z?Nv+rRVWd8UXoP*gEI-Lx&CO2kKdx3ZhdRWFsw&vUukoBSY2CBFU+VZ=&k~H9G@ZY zIt@8Fc?i6{)}q7K;j&ht0S_vqvQo6zc3iCZ(Jx(oy9tT)MtnXTl<{cA!&q87ciZs~ zY^ac*U$f%0wJ26O;ziCyAAY(-1`m@zK02J5pAW9}+-V#g)hp!{5FovH@#5~@d=l5M z-S@WRr%;uZl^P@bus=2rA96iBp1pm69EXsw<^7~jn8<{ito3*h;kn+l8$<`YGm&>m zJJW7N-nX+Os=8;}e`s!Q&V1oQyX8I?H+O(;KCfUmE*bmxAw%DmC#Uf**^Y_kyO43H zG`ECNMLmChzn7oD$ixKm+?)B09#wejGLN1hB8Ic7s;XZ5zuvoT4QMG->kKE(??fk( zWgeBU*Ld!XyPig^kJ{D$)TmERzS`W<^3=}{#T3^Wn3R%qLf{&*?x52)nw-Mu|rrcmAHmSdkg>z7qW%B|yIjuhS9 z-HjhVUK6tHy{eQTcDJ;y>}4FW%<^#Qjj{({<-d)N;#*i)tdCe1KHZq_iSwv|LlYVj zf-|+e%pIecK`me!(%#W=apw@eNPPC}S!O9IgA3$%4yzNAT_2>6c4bk-@TbYsmxl@B zuFcI)$*#||h6nol``bG@lImAKqR3K7_|iZ8-p=sp&T7Yo&17Az+f*P`^ZHENb=cX! zgoFfY5!<)s`up3zg!gGB+=|pLkh675OGw;(`B}t+{fv3VA2IHk2KHjR@z9wIq#JInB!jpQR6g`K+z4 zlN|5(9%p5%Pgoefo_={)Y|>WtX~3#njWgDG?fXaF+2P?~W-&3{{+zqF+Gid6lCNPR z2R=nJw|w#EACakV#U{+K0R8W7%YGXf2^Di$3`vm4WG zy=JWuUxqg>EIFBR9j<(g=#KaP_S2UE|8y}VGx;mk|b#QPX*Azq;n3a{ayVgY10`aybjIZv3 zsX)A_=XM^kOo;UHf%@kpX+sn-<{1KF2xnw^6*hfzH{wivx0iL`*j~@o%x|VL^kRAm z*PLDXH7guMSP9({)tfhoFJHc#dd>fg@yb{g^X1E$l~q+wA);854n((E_oW6djJ_|_ z{@|QV&2JolVwBqbj+rpQhmDOL6&uS2H@79{Zm!T$Ya|07t*}*kY)B|XM5X?GJuRhp zf$MqN#WKj{c`a;>2Pay2T3J<<%E7_mlpnRQRSZP#1myQkWn~H(ayCLfKEA1y72eio zG%T8V+Dwp2a&&e~OX^)$6W`s!SjF~JGJO>f^)Rk-YZoOq&y$gpvm$$tmE^-Y*OSCo zU{I^O$gc(OhYGQ)+sho=F^n@A``~iR&C@e%VZpN4W>|pVb>&`Pk&!I&%zOqqt8(2k z>me27MDI*^s&ea=-E>~;R}gwQqLF1P?KG#v6y4GM#;)$-OJ4n)z3zc*^&3k!?!#RQ zjEsz2+uEXl+emgRj+Y`q%!L%y96>KGw7Op^wf}{jV}HEbHB9fl?bFYnl^kI2*1N@5 zak#j+imiuu^PPV6XGcHpFg1o0YP>$(l4{YD2rDV=Q#0t}viIhBR1_0jfr7n{MUJzI z>wPyEkab{^>mv#?>wJleN>xpgdcCo?(IegIC5;hc-t`*S&d!eCq?Mrf{>M`!#Keqn z@mhY3z8Bt7c`M2U(d?aiR>bb+SJjq0ozegpyX9aWO?2()DULk?qVp2OD7iv|TIU?! z#r}&JSD#Vy%j9}}Nmn@Kr+KTrr$-eK;uQJiLW#D-hVbpgsu87Y`juU42JLp zM;&6kzVphM4h~a*Vg{*!fdL%ZivAr&5fQC-8abr%DQXww?%jKvxvVo&0aKwuA(!oz zJ{%(|nGi$Y!@DSAzzyVay!xaO5fN-Y&9NDk9PFV(;usuA`&# zdgBx$MBDbypSgFm$=H>MQDq)i0xrA`hQaf6{r-t>G1Q|(cz7}p@r4V=$H$Qqeh)5sBfoUMTi!8TkSDtNgAd-6l?lBSbHPKf zRc>x>X3c}InQpVOT0--C>8_LBT1zhQ0EhW*`Yz9RVecnA@b`CCZ+Li!ZLf@nZEiZ( zYz^vV4Bov!UR1*Q=TD9X=U9~!HY~m6w<0DuW+@x|6nLkD&eG?okFTxS*KBl)hlGX6 zPS$xtL=U6j(p>P$%lh@L7!$Ud`qF*B%sjw))Z&l0OG--}zBgdx|2h1#Z|r)DO>V#qI0a7`6w`w2_KaR!(|YtN8HWr`N_=hM(qzE&aTYxI z#`&9|cF4-g*4>b%cgxpGB!RyFC?*5Uxh)k3GA z6Sd-R-@Yw+@RdE!u>O3$-h1A414{MWfmhPLQj0@{M1e9GfQ~Dxt7kTUesx>>{ll+{Q!XEb=W0gY2DD%XUnhaLv|}2^z`0ZybB>YZa3=o$j-t8 zDn5e%;!|5oLqmVAO|Ps(;8XE33JR*{`sC}DE8f$x%{vz7tKB3898F9~8T1$vdwM>} zS6)qxI5jo(c~TNl^1?lDFE2$Qti+>b=fgL>b>5zvOG8A(#l`kcPO=c!iafTg{P`le zSM8L{&DqaO``lYRE-g7)jdC|G@ja7q2N!nft)!=B;VL1<)A`Twf*ud8FX)>*?0-js zirJm`P+e{P;#;&ewONML8+o?aXO;8JWgz_~nDMFt0S0n&!S>Q?Ey0V^o7y6Tb) z5?8MAx9%uwX=-XNd@E-8^5u&?yx;^^pj$$3Ey>-1?O zfM*bWdEu3sQ-^zddsBdx*huH#=@~kPB(N_2<>kVIg@%Sx-x4>Qh@=@A8BuU)TcQ5z z&A3Gs5E#e=sU$ZsDTx7AMUge@OWh6CT(|-O#DMLG4jA1X-S=kWwjxGfC3zbeG5H;D zy@XgZHP`iq&EpUb)8^ruwcnk5CQzA*`W%SDTSYp}cN;;D;-a2-mmpO6p*iK#bd1F9xW6qFi9WtEGA`C*V) zzr)pgT>_yQ0i3xL02^-EjMlh2p)Qn$^^T67>v|*72B@p-#r$xo1%e*B+%KuLPA2Z zV)Y9`!%iGF}b&k{AyB*O+V#PQXp?#!NPUjZzH`4u*t>^N_qDKIOVH)^}yXxb@F6 zJ|12Xj2oc1vWWN2%6Q71Y{i;-sE2};*uOq=T>?lBagMEf|L1Ym_V%{?l_U-wJv|l( ztPnO^VE)3hP;mCN=wo)cxlsi<0w$$8ciE-^xrq??2+m7Tho2LX_wkX6pu6&9wf^`# z+#C#)ko6z|Om-Lc(Bb&V8>V*N_h20xw$mTpF3qGZLOv|l_xR|Qgu4J#5@A^`yb_jlK( z+zxj6kyQkA3|EQzmqenunOR_@^ik!QM`7I`>oCg&jJv1nZmzxN@N{4V%}n?%8Z-9Lt3ZH*+Z_OD$9bf`W`c z#ayg(oW*9r?NVKe;XcAC5qU`UTz zY>LBW-@REXWqe6NK{90DpqS@3`$XO)k(emynF{-`yO0)X505~0toqTfMpfy<0H|QC z*;}AoGlIGbs+Nn$7JYD8nugS=UFFDzq*`qMgamqIKyZqo0!I}T6j+W`^3#gg<_+!t zE(0oRd88a4Nt|$O=WZy$-B9*<^FV+(`X1)}prfOGJATI>H*aUD&?AHZ04t=TM^=N0SnGlBTJNausG%Hrppv#CJ4Od~ad18z6W z2SL&Z!iMiOwzb_LpuTkV0Inrl#QG+iVzuikB@CyryITdS;J#9e9s#?Yjm-@2mNf4_KMD{UAMmny{K*u{aCejj zaN7t7y=HehEEVXD+=&2OvVhpwSoi_2xhpYS?iQw|NO6k?0U4REX``DJdO{w&{8 zAIWg7sHjMF-nCVL_%91?O<4|0|Rl*xFiis|$CZNP`JuKeUsF{p7P5r4FNY0)IH zqwE_Hqc23Eup*!lzykKN65tw?{z1TTyp?b#1;ira;%18VHu;7es{?Q`Xub<@GEgT- zNZ4K;R@$Tt;5i{)`TvuD{p|7CAYXF^G7Zo;IWc+)q$IazNo5dJ2<*nib+rp7pMaK< zXm2NWtfGSjlMi`k74K3~@4mtA6#pM#K%(IW*{XW?7D9WJ@b#Z?2 zu`heN?RJw_a9EcZLNWhTWb0R>u`jMteAijH`PLX=l@-)vuZD+Oc*<4?3vYX)dFTpQ z>YJqfYE920+?pyb^B}zR3#?dT_|afDlXr4Tq$sbR^AAa=jV^6;M?s}hb`}SPu$so+`i_|fVzNY=hFz(n6 z3!Xebkig2Q!Nv>of6n3?GD6cSjiM)?{LVg%B{9jiIvHPM1Hb1-^vUorC^mx^y?`$u zJbf0arW!70>vGrbqpE+7hsl4$?{Wd{+-R8vdWE0=e)Z2)2~zDf5s@Mx>2u1r{5;`@ zJymor3FLu9t-li@tPzp2K-O4tUep{tuKuDI%P!mhSd(`F1e}=X)venrGFuVJ;6<{4 z{gcGd@m*Ny%^KrQ^p^1CC11XOx$bo-vMGsn=y5WKwY&sXLE#B)P}e)Hb9^zJXvyKl z{at03&+i4tyjWo6nG=f8lfA!NyWaKQ`!o6-7-#4IuH(%rGrPJd7-5tOas`k)}f$w6%9=qp8_*9*Vsl+(0zZQCM3V0A@9pG1<$HoQ%^8M+xa&m^Km#&G{)z#_Fe$7(7p``R#@crG~0U)m= zWMpOgDjiIe_w?*)PfJTn@9yp*=oSH3FQTK10XCqndU$-$OvO%iPe@EGa9T$0ft*LB z&!HHS&&y>}F1WsFZ@&rU7-cXK!yqREkc)GZ%CChUzke?x=DPB%zh47z$B-p|DRQh? zuN~~TZ&T7>>*&O)2OxW?K3Ed=HH=M1Nx}HU*YCW zKajB0)Sh=2qi@zbQaO2fV_Dl}qaXk#chuF3jhfCluTIbd_0<3{ z4oP&tH=b2~bNMt15*h$39RD+fjX7yR-}d_Bu2Yj1933DZo1m3P6^Zp9A3|;I3OSy@Q=e6_+I-kgeMM)GJtBr6<1&Of zhz=u8BzrH|Zm9t>1ciVZDp{x;g0p2`Jp1}IV&Te<%ak_tAy>|+r*L9P(Wy~YMTXYV zRz>EmP5A-M=Xbm>bvo(TnIv#ebCivjie@>oI{rXX zp{MXn*ZGvTQCEkbZ}T;)@)Ky=cEpWln2E@)%g0_LjQ(v6t0oJLndU?*{Lp(C6#pRF3=(AB9aPp3h7_5JxpsNz*-d(2sbE zU+_`-64lY;D!1dX+{)c7Nfr7>SSX1~lkjtKHtX^l?5CbM-WFtJXp&NtoiMS!x7WF? z6U-q%qvuJ%&Q}+DdUdF=340`eo5!$frn)6@m#gEWTptNdTu1aFkTDTaEH{i7dQ))l z@EU=mHL|md1j2KqKSkk=gH}d#7#>RPIUlC!RpGs3^GpqOoc26FCtq?l&x~BW^2Ish zot=VqZ`0FvnbtNw(Aqn2T|LZ<%spZaaV8etKXddgt+_*1CG%`x&dqiDO#+?Iu?o@N zQ0l#S@dEgu%!?4zWVE%Zf#gu8ju*-vX!!k8cwJ`6rvE_}NczdR|z+k7S4 zM*CCLC^*lTikR|iv42fP-M#(Or!TtgZj`>-_*%y$ zP5owC!e+d}8oO>S6m-gJsji2a3tx+H9ZT|V7k03;AMO7lNww6YdM|U}c?*y7=s@IX zU<)IYXuU0gAY%CIM$0${L)wh(^l_?H8e@;wu^ZXXro1E4o_IlQAhj~jHZk)Y6|qOK zUszw|xoE$0u~&Dfq)E1!!=S-me6XkjgDwGhmF3fJL%gqxeHV*Zj=tqL6H#?He9X2S zG&syW{@(oY>he)Hgv#r8O8<~9(+#|KaKq-HAb)f{{?AZ&!8?6vs%~LC z2c`~;PO0ptQfami3R;M4;xTVnP|StrhCe3zl2SymYvxUuZU_W%H=R|=eCG_E^*!Z^ zubiFUrh&mbM_LBswWt9}yr~((P5K?XP3lO;JclKDVTl?$P5RVLEUB&T0JyC{Jv`RT z*PQ~Ex$z`e`$Hl2T1-gcTU{$5YR#wqkM1nlyrJyw8&?eS@ktJY$Vnb?1gFzb2zKh`U-&W-Ob(Z0SzOPyRVdRjDAN9La}WE;_XdU)f*tJAsQN(3gW8uH8m;UCL}nluA(j^ zi1r0>t5YS-ArSuydFZL-HdP>lF=7)})Mn zzl?#be7`M%SWTiFMWo&|AwYbk$`ar($=%Dct9CuNRuSy!^iOOUqqlvMknX5#{{!6u z^6NPPgZID9I=p!Bhl`Bx`yl@sjwiO2J#a=6Ih`Ok`BtmFh36U&@2y4rZz zR8JiZhr#E9{>jHZC)oea`BDo682#((*FKSL{_DNM{|;jIr6f`rf>Y)sfi*VRdO7_I z?c<TQe4nl{|;U6aCqIQFxfY>iUQ)&XE3lL;d08zI>1CgZtZ{)fQ zECoVTKY4NrfhHUrH`FZ}18~1pJUmx-eB_DXTaftVK+h3gy30uc9OmPL124KOj#voM z@8u;SwfBPz;4m6)%G~W~ovd=o8e9Tr4*bV>@gnZ8k@6 zlyN=)mJWrwr>~EJQczI1aN)vLZS7Z?DnO2@0eQg6&VC97`JpdefebLR)uQvyFQ*|? ziMp=5?Vj&O4qQ4m;3!dXaqE|`urbx)ARmFHiG-Fm6mT&n3W!o58m6YFQ|}Ia{Yv)p z=g-$-s_cKJw_28*TabNxfo0+{V_5G)ub6R1y+G~4r}4|+k^xb-1xk7@FE3ei!Sm&Q zx{p`Jo$T_MxaG9e)FSWwN6Vw{i2(P1iScxIXOfm?*jb$%%1Mff!T_wQoRDQPPgT!b zkcN*w>u3CVtD`YIw()S7h=I=s4e>s(7zmfGI|)<>;&JlaUha!w<3Mx1IJmeN|G&@` zA_KqIuD#ri8%+ZP6d=!3Ts+*fAkZzYOdl^3`h*QC8?1Ha{goY;j z>)JJb^iTtG>ij24%sNph;46DM4QoAwg9vC&p%C2(6tCVwLuuH!6j06)Kf-?pu2(_) zH7G{zLlmpVmdmzGupu^3A=)LTxG%YN?wHdMucNCav(Mwi!L)_xGKaDAwa|8jBocwYLr&po)Xc3U^lp9ySp+;=6<9lNKhm#mIg zzgH2D?l6T^AJi-hF-<;Gy+kW_AeJ7;^V_q6GX-w4)I#P-Z{FbR>FJrY$jHfQJV+l4 zFWj;5id77x5j0N*NglN4=8Ri$C=_U5O+aluJI@G#;WqWpY}dJ)tESS{gWSz+Z6-iM z0af_=HypH?+`>8mD|>iDQ_12jdEznDaZiJw$W?{*IdM0z@5w z^R;^0NnXEk;otT%t%M*a*-X^XbaZrRS3lx`62gFnpA;x2SkQ5h67fM6ZUV}G>ic&; zRjEBJD&Bhyz#Ff9;wsdTe+I)1;__KcU2=wDI9hRCM&?Pe39M7yS8Cc;>MY-u@-vInLfO_9TT+|JeHF=@Mr zEJwufk}Y^8;A%Gn;#1l0tmu!`dQ!nt{otyGkg#yF$RqRegDGQTpZyNiHmK4mnR&p? zYL{7(j8r_d?*9%4;aO|1!lOH{ljoO~^cK6EG&m`|yu6-~lEcmvcgUf+9>rDL11O`7 zKEL7z*{3pd86p9AsOS(yH0{g{7>y9A4{?MF&prsWvh4eYJJ(fI&OY(?H!@K#a|bB} zk)v(CT>?J5`pzjfScTBOi^F_iS$WaK2$g^9kxE`SBhJ=P9L7t9|POa9%B|k7EWTA?63fIGfW1mQB7X^-m z7PxB3Y8Tc9v<#UpU#66jl7fAFXx5BgI$RFV+UoW94@ZL_4W!BjpQRRaz5ojn2D(H;myKT$jz7i*^2qOkq`D#D|IK#mIe+_Bc@YK|VmPF8GX) zD!AtOXkVV_In0tE4bCvI)wOi~v-nEvRH|ZnH)ermU-2#@9ZU|N16fx?57=e7xj=L{IfMIt zIsSxEs>M%CUjeokzLz1>anze4>jthv5>nD9AgrKJ;9m-E3MM)yEDBFb`@2lw-edXT z{PUE!xHv)@L$QGJgKUMc!|3_9UjU1&2sn*^bf@FeDv*P0AT$dafvCfD0Q#mgH~o~n z#&_ik4dhR*+bhe<&p?+w$HI=h$qbgHq#I-oHnt48JxDcR{kb2LjGUc<-LoD++~$f9 zXh7n4c249hxTylcstYntF-T8JuZ3{IhgtB98UPLf#}q$uNV1gTPXVUxP7t2~4#9G$ zfF9IsFqs8_wdmxgo1$u?YvCz37`y{^CVd%zS84C=M$~vZdU`GvDP&MUNqPsaCUeAf zl8}>|e%3}djL0r7w;DuC8Fntu7mXml{riZUPJ-5%KLn9W)Mb$z6qGQqN1C)CG2$K& zdbe`Sq2AOZ<@FOy=}NAb>90{wUjal(FUH_Hqg(WQBuQ|=U@LKE{UZ5+6t&5fx`icE*QKk zX{Y7kU0PGLO0=>ykm~|$*b}(zTAE7mbyGPH<=#>tByV!*+Q{jky)i2tq1i39d72&x$j6eN)V81YPLkCZ>iT;0VB zZOx7U;7y~vGTLr##p~@(IX*p@7Me_nV_)RHBX2D5~sE)9PY3f-juV89c{qHc6 z7mkF%QT)kDs_Pyrct=jjbQNb!otGAB_PpQ*xBV* z51oIFP=FURu)bazcs7J?O@*<8>=ghc7~nN{x0G@)ToVE+1a7ThsCe_k=8BFga!@=H zX_hj@KxhiSlieSqRd#n03^iT#Z(x%%mEWX-75ZDfuQafY_tvl8fHp-;e{HULP?|urO972vR(dGTC>tKpTf3%H#C5p4)?M9~@ky zuD!?!Z8`+cUZvCg*_zr~3>55BrSCDqWb{H_L^Z&*0FNpO9bMi~-In4u;+Ej|f%9&9 zHs{a8E|^+xDk${T)IromxJfN7EimYSX^s-{O~u7gA?xrFn<3et)??vI20n`M(j{U< zmV#th4B|34!l7QngQpHzvr8qn0p(u^?0TtYi)*hq_#1S~EFZ(>qEJw~_N89O_xjzz z0l1?TmK^afr+~4PTFOflDZn9#Jm|vEuJ@4yV^08ti!?|=mR~ao>kfY3s#Vor9Y%x# zjXJPXO9;9iffIIi1p$&E{$3KLOo*=4&A+^RA6~-VG>@)#E=%=5DboH$q0+2y$KM_z zMtjW(WM-UtDT(wcC_IU2TOK|UQqZcvgZt>p%M4xJk?3%vH2~VbQVZ+bf4o-V`JpSn zsi#v5g7v>JPT6{$6psezK>t@df?xxsmx3P+hm9K2a-9#+4CmFCv8=xPL(OKg-AyrN#NACcgDoFHyp2muq=5AM`JBl<*(l zK803nbi~j@jLJ9>VE(?l3dF*{<+Sav(}|dMf_9-?g)`S_(XGE8bTX=wA~^k8NNUUT zUtQ$r@tr(7ss;Vf^uLAX8zucR>XQE~Zx!!0{o)UjH@MmvCzw)nm+2P+_UEJlx{JP5 zC=|PwGpUi}QQrvrPghqj(!&zmRJJb+^)sZ+wq9RF-PRaE=?sRno}Q6m1fG!v0N590 znNblcd#~P4i@cSZ3i{di(aqivgJIIfR5~y7?y6g=IOS)n0(X72h6rW>qJxNA(J>Y? zZ-j>DfBZ-W&k^-y8)~p!S$|Snz%8s#2-Tx`r0e@b;LGx@ey$5ejkVPkcd2Qj9M;5n zZ`X8B2!U@P2(ER!02b$U`!_(ME=FVvMy5H0iB~#xQcBwu_!}P2WZf-P2ou*n-Y9JE z&Iyu^9xGbuly`f@CUU!9?!%1h+w|7F*5!@gzn{m&Ww|HB#+o%+a>vE>usE+eQRrPh zbN}neA4_64hE*leu*Oqd%X=+UsOQf8m^aS4u^eVf)>zLnPAAk8@9*7Kq8&J6RsOlz z;_9Xi%#5shy{q}{6({0z=d2emaVLIOWSr%r%F`#oK~-+P7d$w1K2EkZos`d)z4zojmZ2`C@)Cmf;GX0C|A6(lg zhj_&w#Ol{i6p^z$|`AM5umQ0VHGwXDA7VkYake>6QqBIzAi5< z|77*Yd`9zwe*9>^y)OaByw_NDQ-{*#!Hny@*HG}-Y4UjH(CUetPQE?k>1MKa-EHXe zwSBFlYeNP@MTc!-D3o5c3_+MgWDwt&fAA2CkhMF0(!nHu`r(XUdfM_t`aE(-?n<1S zeBPoIUuKq+kPsddL*BL28OJvRwi56qTnE$x#BP~>&G#qq>bfTF3;5KRHtkH)hi5wZ z3>uE~%TXw+SOS+tvlOSDC3}1BhVjt~(Y;{tLGNLlz|+9$C%*GKh)}A5pBJFhnrjaw5&9WUb3mXVcHz1~?J_Zfs8gmD8; zzGa6UB+R#;YALS=XJ)-72XnNxUpc!)XZ8LcoL1j$}5%4qg|h@Mwp zIlRXqA&HOTObkEH^X$N3DguMI*TH(*!ayz+>OL$EkkQS6JP}Xmy-Irwa9=lrk*PQ5 zE*GjH^?F!ut*5Kk_OJ!`3i_^4Mj+AlCleRfEo=ARM|>YXKrVq~3I4mxi%yRo$=lms z0-^*1_4Mgedk2R;Ru2>oKE8i!EJeh5$(*6}|4__O4MRgz(ERe+to!X1kG2>9y?9_P-TgCu3OxbP{Dw-z#B&ZY7Tx&*`L8{llFXmAR*%-Ji5 zqS-aVMjU(;LXK##4g(p2ff5i9DElNRARx5#H?5Y}out)){yqvMa^0rb*x3n�OY9 z?PBMrPY8MdG=2&N)W=8I;i#CH^z2gCRRgGRf%IH*kwD^S6f0B;8Ll3Kd~hOW+9KOP z+Phuvvc>_Oz3FQdPaAJ6wV>od@;aj+6(JjYd(#MjvNupQe4AieD^AbHt@vMIt-UqOW03lw6 z$4$V6{CEEPD?#$0;xTab9@cdvqLcIA6*|fBI%1g7lAlF}(Gv3CEdS*sS>k6=UV6us zh-Or?S_p@Lpc%O22fQ{Zf#8kUI}`nxc@H|TOOX3#R2~teqQk897cUu_xAQK4+WEU z#H&}YNC&E2mNNHTfqnx>O#o~m;+cmg&RjP-iiVS=?YF{-pNgB%|I6GO=;qc5K|x~K zn~ZVi&K-o{0xuMrl(iZMCtZwKtKEf@7O?qY~G)A5SJ{Bq7i!6H1 zcl`l29+@>DeEG=u6Iv2Nxb%ZBtkA4U21G_BSh+G)lg>h^3Kl^WL{bD?1N5F+T!hZK zr%-V-va&WW2(DwGuK`{;%JgpB^6}n01M+$>g*>jV7Dt$wN#A4om6a8gAJ{;eK7GQ2 zYCzV&;5?FOfPU1JsI$0__(^iGfTZx6^8m(@Tc-r;)=Tc}P3@B-9e}#uaQLfhm*o8k zj+EhHBv@!gn+D{1uA~GR@pwvYML^g{R6k+gPmVO8^>dSX(cbHYc``0_Pg$6N>AG;V zuTPObCqqu{teOCS^1b3TAM7{+Y69hVIHdJjloVLHW?)I61MuF({g<7yU}I^V+N3|T z+S%EO?^rd4bNen&{H2*|I6y>zox8E41AOeC`=@TofMNyaw_6f8PufY>_Vu>{h~0MA zn4qq{Z+6$+snrSL&+Odzith0S=jZ2>Fz4u+kC(iM!X6q4l<0$4DWp;Glk5BX<(#?K zk6B?MN|nB}Hlih}|7eD;h0+&bg8uxx2w6OtPkqOo_$@3+0MeWc=!5#dHCBu10lftl z8ccXFWSbdqb6j${DJSo+_Wc^N>5yEY-2V2#B{y4^S%8z>^GgR*o5b|=;fTQ(T04=d z9@#bU8LJ1&n-;x&ONSU@VW;?AF380`iJOR00h+PzgNrq{K@IiQJ||pQ4}SB{)X<>U z(hPchBrr4JQ0%RCwNnq4F$G7tde!fZ4akE5MMamC;~|kl8^!ZiuPhte!2}6AtWf|J zHgr0C{Q6ZrckD#lU=IZb*%=*_kyi2Sd$zW=PzcJ)%Li$?%gdjEbgV>90XPC&ai7@Y zIuRcx((tODshL|0ryuMxuPzCI?;|ig82Y{FD`}x@%;uKFarTTz4X88mv6+lnf-rF)-ynhBKK_&+#Z9~ zD2FJdy&XBxAlUuY?U2CmA06%xX8yO`Gfifa4YHKnuR#b>X&z-)%(_e z7K2s_pce+*llb}hEhlQKt~uzRG{!^!t$?MpoQ8wawrLcial|W~fnQbkB7k0H0@5Wg zFfi6<8CW-vP-w&k2H38Vkm#7; z8WRE;0-!+~K)lsmQXtwP@nw4Y2~_Rh{fVR+zPi5k`EX8}kBNiY6E$ z{nV#euGjm;(C|YKb4UF2YMUA#K^<$DoMd?P=n-;QeRij?^Jjp8#U!K^@&m_{*rVll z6j=p``|J!MZNtRGd0>eV)C=%dv0ty)_%s|?#2$hS5Bd&!b&nCs8h8p2b}XR_2JG%R zuH14O@VNmB0^ogy{+>ejS~ydz92_hstQLaD5JDBadZ29J)E{o21L_e0Y+a9zk9O*z zV;OOu(1Lxe6?!R(0peSncZIg#-R)631dJmnnM*SdNs=&{b-1UeP~c9BdigSluWt7g z>Jqfp=jm5d0`_Zzw&P0(TYb1aDr)~77;y$RAf2v*hu#5NC6PW4^-QI{eMtvLM;S<0 zNJ9+r45Y$1*xM*yOixe$UcFj}xa^CZ=2Z{|c(ryX(Hvs*(s~C+67s1BmG)DokdH8c zW<12|?$IVI7b{1s11v61U#=D(v}Hq=Dl0214$^z6{5oA{_2&lYCJaE*mCIdOn`&wSVJ3iB2I*@@T<7^o67G&qy(J0#zQK); zUz+cF!vSniw!0+wl8hccom@5hl5T3}3vuB<>IDdDk+Q&{sm zRMQ;{L%?rgpkT3Op0?o!2Lvp5Ju?QsdL!_gNcR)uadJvZ8OZ7b+0gxBHJF#}LI)`b z5;=5bFbNA&K+T;$NMkT5X{t<9JypQAmCd{%t&F4;>jo15hb=tPOZ+=K9TpuHA5 z%*Y??PaY4755{t7z1&@g)qPl|{j~iOM44hl2!fWugr$0@QNMvT44U&4%WT8kJw0cj zdjp~E{Zc7y?%W}TcKVh(OCk@xV1YIW@W*4 zHTAoA8|`J_^!biilkCA>kMu&NMM`~%(T6SpxmtJ~(i(--k#ubUGhkB#0DwXIwg35r z4aTolI74=OU~gw;4hpzA;e7CML*-Y;fPJB=$W%6oD$&9|V9I82=F0dFC7m zfJ(<^5X#^nrat;L0=@Nor!X-Q)%?fYoR#h$Q zxxnw-F+wv&Z^0PaoOXKDM;rX5(YKevQV&&d$nKke%K9 zpEs~s+8DF1#mB3|MKG;ysoSDZ_7`anmCe`BDmMakG)gQZo|8ounuNY*e6no#T)E`c z6$@J3WEz_9Z3lba{^^9Bq(-{20xSLYaX)RAZ4+!oxr1Dbqim^T2qZiM0s=lo2A7`fWa_5*u z*WbT?lW-g1s4x>5a*;AB#G2&U_Fobc6AL1{-ZHF5pw7VPf^9!hbEa%}A;Vb12s5;1pSUb6wuC~fC- zg{%zKjESWsTzG^yA&0)^>nw+k``ho~=D7wpuW1(IJSq61Fj<^H#G<+ys`>H$(-}NZ zoNc)J_|f6YQKHh7)nBdbDdyh`uUx%aJyGk=X+FdgE9yp;;QC88Q)_Q|r1aM9+ciQf zW!`CNX&NPd+1c#NqvhBxE_)gRN8SU2gGo6#1m6qIYjgB!?Y1s6FjQ4nqe)9kUl(+c zk-^Z{*B_sq^$(#GT5ubNYnj@WFD!m9!VeYQy)x4lW6-_6U_0`&KfAW010NF;b8f8C zBkrL~T>v2ohb{_5!^cM~^mMVx2lIl}?_ZCuspTZLPo}lJAY$oE6hF14rIe|cSHv+t zKTjg+%J1stmTNgC3e$P3l%0#~{Nu-ucP9L)pDgY2Sq#G|C@t+Dx(=%cOY>xDA3s^? zN+&Fj>+k8Ph_Hi(U~*2Y@f)stOGWnQ<@EGuV`F1!qFV1bk1j5noyNd;v*`Nh(W6ci z9{iy7K=z6ov+Z$&R8%1`+{Vd?iKzDWcE-RdcR`2cAYvWYyL-Ev{W>?TtT=crhE28% z6;-|u1Y7FObR>lC@4J3d&zE89dSEhICNS!{erM@tULIFloDlKXH`l!-k~|X{%Z3p^GqG{e90vLXf3E=?;B<{Ic0_b$$Jm z(&)j%wH1#*ctxJ^+f_Mv`8wEdcn%H@#l^*m_cK(Z1#I6x^{_YC+S^)^++H4;SX{(` zS8>RA&KY;aXZ~`ADI>Z5$ zzJPs-{4h;LjEU*&y$=e~rB9c}CnwQUm7gCT>`fJoxqs^$tn?83@^lFc1;@4X>D32i z9dMSCV5i+uP>>0w5*h#Tz9|e_bEZUIZykaee)i8UUW&<3<@Xs-iBezs%iF0jl`S63u`TWAeFF0>62Y>sZ*gwZzNgX4P z!OqS;FnHf${gYZQy7|!OXRsngMSOJh^!63lL=}g-rl-%GsqX3`#3kdYf_)HBdAKY0 zLBYs~5rRr*v9-aKi&(G$&v|3ucDv8GySwwd?egGJ@FyNPMccSz5LQK&*AEt&lfU6L zf6++gBA>l$&=6Gp#s25&ux*E4%j>KBPZvohCnv487S+uL^Q1pmXlRhdyDSR?QHhXE zOib+TuXk`lyns<8-FeGP!ew|47K`(7H-mXpT3}$H_*w!ST}6@2i$g`0p#uYIFrIg* zsS{1F=(j~II^sp(fQcbDpPMs5CIqHby2xV0YO?P6Z4VP1a$cOn!^42Uz}n{*m{tdk z6RN*`yFl%_`b^szkCf|lcKH@r#on?|*{>EBREy>&giIMY2rRvoj%##<79%f?_9~CO zD=WqF^73+=H=k@Q4qh;Bk9`I+h>nglzS}uf|+rMTxT83;FgPqk0 z$F+LmiRtP4k6Z(Z*&8a{_6Xp3y?e(nFf^pUxzIaM?!pHl4`pe&!W@cy?p&20E;$E0 zHjl+H$-VdTXeb`D0RjlK(%IVOFC!!U($cQ%?Cnkc%&u%myPIMK`!-ID4o!DysNf1S zb4{`J6a>EUi3#hmj*ZHr1NL9*>zuATR%t5C8wyLH{L$}Hk zjo*6mG-L}UWo7+U<3medU*Da*l}a>}latdxi7nI9r6FHZZlk##IDRtn@;DNblAP}Q zj_=;T*Pm{Q*nxmx{iBI+X;sg#D)Sg?`jeMNuM>emlh^OgS2BuVSt zjmPrQ9B8n8n%diC^!4eov`Ww+*<923eC`6Hyk}q__Ndb=B`R%eRzbzU>za&(MHY$% z1DEXGgM-(vFQVNDBITC(;JVP0j_x^7WSLOd*5CgCMQ|3MsweW1u`#x<1nqnIm}FKt zMMYv%o!1#`yLM74DmDn9EcG15?G$S(*@HE{*k@4IQw_mSrm~6~h6+pz9#INCy%--K zKM9jElsD$ScV}Q=ARtP|y`+0n+i998&Q^49F+bV;V7FI$eQc$6a8UgmZJlk02-EJy zJiQNrM5Zcs#O=$F5kBtYym;}#MW+=9hQ^3E|D2d&!zb7DN4z+n(p-=YJEp`SfYw z%hqZA@v3JMDP1P5uv@R90#;Y8%wsANoTSU{n@=@{_LnHsZ`Rh-*tM6N4RWE~a6SAz zJJeDC?c2T2=HFG}7(LLmgoujn87<;cNFWgax48fNXj&WMNBYM4WvRh^wmE+L_x0%LN9FcyJ_wNH`@ljVvug`9>X20TAN18uwHU(h#%#1qU9-@*gX;C`*Sa-6n1Z!p_eaP~=8Q!xhWQy78R)d%sai15IN+UFYWtb&rY39hCn~$ z91;=&>oowG#bV@3YQM3x3VHM*Yk+e4Y1D9u?al1nD0Usc;9%T0e3n`FvXs-umzP6Y zqu77G=6l@zu3KQCH^aDFN4Z1nNEm{yAE!Y>RckADtv`MvJjBY|9hONm*m|jMXlQ82 z>AtI^lz7j5#U=egHWi9wLmLB!1ohy-1GAye5F#+=;8dh`C*}$8~>aD)g4TywqD>^Nr0*KtWH}TH;u+7*?(Q3YYr4bzbwvoL z)c`&7jlN3UxPelL7gjgzXZS)KUheC(kp966z&U(gBqs|{6Au|~dxBW@z4(X--|t11 zrpA45CCZ&QKgMRdTAC7|%*@O>KPXbW?yoiS+s@#Ox~zyGm{sgx<6gvURsi?)>jm8v zwzKU?;@%hqPxtz;*~>h`nG`1hApsC|EZD60Jwv{+JVI{T_X&X?gqJS)b#`{%PIzA7 z;W(cHfRT`p@Ei_K9poVnk3-jeh<(>Z6JTI4DxIr$1+A&kl|}f5d9!71FJ??pU7ghP7txs`w*!|-)617H-%?cUU#=W; z;6jFK-1|wLTRw*COsT_4L;AfBkixtGf8Qz{dp(Ao{E=f&GrDNh85=+>QsO}FW?rha znn1tAu8o5lIwJ-9^WD8!K#~|rq7^30fKw$cEZE$S4jjw}H-GlCeBJ42Zceu|tDofB z9>r5jx|pIpDLkP(G{yG^3}XxnX>!JmqHS6Uzwn7LRAX zQ1XQU_r0fVgGehJEGIwXChlh`k4}yt@G*^a)hY2Vt z&GWXc*~!Vt%l4K_@jq=t1wjj;9k!g~Vs0Z65@={?(EvU6ruW0ffV#*4VxE<~y>EU# zH=t@iTi`sExY=$pZ+2LP{jqf^=+bcnC^G))Y>TK1{Sp zXX3MV>s|L5B86D~XY3U_=r?|sMU}g3Pky(otTzZ1@yp5KKuz18GHQ!{79CBp@v|Sl zLwFrW`QE);{dz3BrJ?(!S3=9nMMQVTPeIwA2qg^(r@qftpAbMN`8Pb6sMXm7k7UIJ zQ4(G=67*B2^o))DSv3o3SXksfe7JJu$~l<%x-zHr&N3%kh|iPHnc~yBX78w6wjIT~ zaeW&;{36$&5eu$H8`bIyxqPlK^R3z!yL5n*-F+;qtVEogoHb)(Is@OoV^dR8Lw3Q5 z6O>SKV~He)u>AdTxlf4J2RRHT-wQJ#izP!zHVH*Un%&P4*bViG;@&<*MMdxm1YS)f z>+b)aO^C>{URiqVvb9J!^2PoFgk6brl@}ip+%;kaY-K(GGFdJ!u!I#t_k=^Ay~Rx= zvE5g?pyKdzI@0ue4L>Dc`RQE zM@Pp10Lw2-`?DTz13((1J`$HzxVL2-@Oa`cmJJcJ6QqMuk;U`DO- z3Udj>5MZ>a0raK|tmXU<2lRgvNA1bPyyKKiFd+ z@^-3(v-6kw%dUY6TSTo6+M*L@Q?YL{Gzp4)&xwq3ZoxKSZl zRQN%nU8Yl3Q)$XG%g)OHtT+byQ(t7cqy`4x6}yq_9~0L$I!sH@8-J8Jp+PK}%a+Ae zT->)WNT#-Il`GAJJg-~2FUAx4O92nCzk0KXyhHf1TjzNQIumCGN23kC2D^yy!X%aCxAj|Keqr+A8tP+j1aPjGHS8qmYUr)9dHd(4%2fHre4@vsT4Q{>H~#vOk)?eWxlX*4DBPI4Cf zYwqZo=F$g)feMwvXDK{c+ZqfqdZQ^*e)5EXfVqj2Ny*bVc@7iZ;UMSWd5Lt}leuYN z|7cJWHxWrL04IFj_hc+n{S8IKTbw6z@jAh{1EE^OXr?2}r)3o2PR@FN9!c8%T9I4Z z@vDi1TqZ#!9iv{blqDYT3E;`K2aZ>#lVmWsL)sphOdBG_a&9ATDJ?Augdu{Y3ISJt zb-eo4ojbkh-!dMsLmd$Z<&E~Ybld3`A{+{S0tE$y)s2n1&yT+;sj3<&T|=IOu-6M} zKpJ5C9+p0p1{8#FXOJf#Hevvt8FDsg43Rc7`?OUM9v;3m_N0Ie-tKcdwWcfOrZtpR zWss3`ii#Qm>t{P$`?CvSYW4LfBtu6EOrzR=?(8_i*yscVNC6~wMhXcCh^H#wcM2IP zb(m_4;U360#xE-?>jbhDVex=Ux@l*}^TVb@J2wZJcZO<}ksaU&1U0R#bG7?BzJ5J} zf*>~cnu&n{0zL-h0#+oW)znBVRRG`d*|Z-|TU&c54=50*VevmGCiLx<=RZO?ZWJVy zxPIH2HgP+<4YyDTP0@gTkwT`>{QHwu9mk0?fQJ#(j==HviU}b-Ju0r-BMvA8IK@ff z-`Er6=DxQQ9do=tdN|5h4o9cZ#vzp}F-Hv9_)4r*8PLEru=NdiCC||k5E1!89@d45b#;5&W1REq)vG8^ znP4(Bl!S!DF<=oA($r*vvhjB6`Df3bIXBiI2RvDWfRyw(+-ee*&mZ#f)1Z;BUvVKt z76W_*?ll0Yn?&Fvb|6n692tP5Q-H+IqI`UPX*oCu*vmK0Bdjb;4uX{ef`WQXcM{S6 z9Q|KTTQyY%53;l{6I~}_Jv2+7vcj0o0A>WpsSD*EKnBmyP<%f;$`=k}ZVxp3`}!_H zHPN`UHbr>;Ji4*5F%*11hoiFb5zQgY=ZkxMIl*Mbo|~(y6%Y<*;~V??5qg_rZfJWl z`b4)liIFX##gG03wBJ2K1|iq^T7zTZ+-%hRJFv!L@ItIfGKYX?RPqXmv40Ml5;kd% zj9ops?WYn%^!O)eJ@*hP$$HKUnuMSRT_s*njAS=naXgqgqivwLDHxnJ3M{lA3UtZA3w(tFJC7R zSYhumRePVg{>uaXmHnM8+vNvFhU3362kp1C1D@!ssa%rjXse4wu|9EF-Z~Y2OZuO#-hY8P@S!bsq zd)FA7+oiZ<2Suc#gs%=Yo?fY|BDS?!`z#r;mq5A4N40v(CXa@!DQNUs#9;UV;3E#F zUxskl&oU{*-tfnx>;#_L&^TXOjd*m-kx;K=wkrER;hTc1HLs-~ygZ1anDuZtjfy?2 zCslti9i2CawSVfxIJJ_`<3RSQeM^N~0*lGEY&VH;7BewX=ZHXmy%AbWY?M2fH(tYD{$vc9AnG+Zih`cngeKS-uy@0_MJ=(Xm z^=Fhl<1}5lp*7Nr^6WlON^@#)`iRGJkqDiOe0+obOSAhrm!fe0dsc0ayvr5ZT?7kU z1R|f4M~|>87w=F0pzXiCcQJ<bCsol)baY*&?mH>UP;FhC z-lT`?hvCusCMnM@#+#y2><8Oiu>#9M1=hhY!_7kH6`uZzuhsKj?@RQ8O zE0!F3(>K!tbJGVb({#31Wr4XCW!L~Ru_rF>D zaYenvafpzY7kwF*-%1fb>a`>rNxx=Mujr$R`&xHwt7fKgUqu=CQ}g!p4<0oudg$AK z=5rs-{M4${T<7zOd*MvD+t;RP8;~XRRz}N7gdI6hH&VKE;roCWFFva1Bq`lUQtGjO z-Df`7*0A$fPDCoZ{M=3A;HMO$gZFWL4VdF{Zica^#f8`y8 z(f?%jI8x&h-E0qn$p`{Q*KWT1%+c=-j~tUOx{DVtf^=LnoFrSbWsi$Oee+vTPtQMLouQPWH3ONJQ$K^;X9Z;{ZOexaSck^y zCzob3Mie)4Tsrw(byo1~FJksGwm0zQgT~5Sx&*LUUb)+2UEFOAXx;#5k|7Bq`f2xY(K}pn`xdQqC(l7~XNre6Q@PP^8WdJh82|`^5 zXh7;~Qe6C5VLMdCIp*Ja5y}flbQBjC7l&aJ!IFD{Mlix~zk7H3 zW++uX06GF{>QLB8U%%`M zL3S?BN_hJg8@0N+ib4Uolk)lV#iXR9Awfj!3unCZ^7ZS}D4-G~5W#nPIyLhfS4-gWN-4w88Cd0+Kg<7e~Nids5mScU7M~ojm0?7XOC&Io7&Spes>fF6aeZ0#a zbKDoJsEE3Ne)sO(fxJi9psk$s@bHK`5EmCm$^u|z3Ld4Wrx)8yV*wOJp=fDoAqR`S zjEl?643CZmb?G^%H{}M$Gx@H%DN+PSm=~%Maz2YXFl*pLVY5V1`t~h31tldSsYBUe z01P-xuBUQ(9oQNO&Y$-}77IlH95Gy~Y@=H)TFgU~i<^6GxpW0#H?k+ZfscosUZ4v~ zBFYoUl=;`$4@)lrw}Xzlrd3S9%gak5Xm{mBU|<(421wTu|2r0?=jH87R6CiwgOrE9qH z!P%-AoRIZ}e>KrtSzA}v2NI*9fbg#YW>%hx1`x1p&)U5eDn<;Zz3ovKeDKO3lL^&W zVHx-ib{6wHIJ^F8W+D-=VE`(+V470UuBya#_V^vI=9}bm)ET`S z7ms#-vh#pYtz06LBL4Vsx~vyOAua*TF=I=sR#AXqfCoRS9Dd~+ON0%|i1`ABE8jRC zd9XN`k61*&A%IO5j4|f6O^HyIa8t9figI3k2Dl29=GHDbj|l;kZ+=izR1FT2<{Ni3 zz{$^rFo9?(1%&kQRBO!f&c+&FARy4x+*}RANa`}-0L(WO@Cxo0q-)iBSoQ1_zw^cwje;kstfsvmi6Yq^ zz5rj(TONLxmT=CeVR5e+=YH?(sFXN{Xk_{UpLsH2*JG}X1qqBQlMV-0>QWCnujptnAY#oTpEp zI!;GC-~bg^1M@YqH)OI6D^0qRHSoM)Mk1}-4i9T;YfXjl5Odh&3C)!!WodY*i$p{a z5u`rIr>l?=0VzQk6Ip#>0}Bfas?Rfuii*G=rohP(Bu9uB*_sO*I0{>cq5vVmAHu#w zlG1p7ho~ed`(@?ju!_6KbJFB^USSKvVaoD*AuiZ*Zi4#&uKf%qBn1@f)y++52?=zW z5DIm2YhX_A;*t*Mfmk9AnFH;0Xvgf2A1D-+$G$a%uw&=vE@V(Ie5kEWt@13vLI&~= z8VaIr14xr-uZwnAsDdP=q&9NW)xGlwHgfrp0|&GYy? z6f8!+PyiyD_%T8U72oj4?yYooD#Z#p;6d&{oJZgevFsj4cBi$pwcY^71N><8%xRr#%ifiBY<>ez^RuJ2|r6@YGzSm|~NCoZ?#Ki-N6p@M=)RY zFo+||q*agQ++cR8W!z8<>anulGj9>&4w%azrN4an(i0>O{r#P_Kc|;L*vQg~?+}&> z7xJK}+b$yW0Gs3qA}r`*oO(4r|D3SAsAfaQ**FIdu;GDohgM9C8W;}({8 zhEaj5#^Ph~@rz9suCfJ-#B5q>kDP$A0t-wq9=wpIdaIax%n-lE2^=|VAV9obu!9(3 zNXO_>XRfS#9x{f!y&x>%w=k>LQJ4TgFme47=d>!_Dd9vng1=4v5(!M-)wMpMQ^h4E z^JRrlFha447=VDA3qKYehB&__$TMh z0K9!m2ingY^a219H6tUGAk1ZTnJ+_Jgwv@9{+NLZH=!(@$`Ej8#0A6MJ-xipK^jB@ z%RqLa0%Qm)APJYYrlWKg7O5dmC?tpm*VRcu1gAWUPlf2WI3dz2oO|H3LIl=R7&s`D z@Om4!VCxJPElqfHqG|>%o)=82LXX}9*Q3LOu1b%iy}r9wE-Iy~++P-Q*}8@phjcs+ zh#r2iLqlDA_~jy8q{^S#{hXzxWw}9@&|qU--8c}TwTfZ~@3xy^j;P4+C)~F7wpaWC zvI2MK&lK;74x3yOo*3fdy7r0*b^}}dK?`B(DQ-<6VS-S{Cv7?P+T0Pu&^+| zwa1+WIA1oG-4#pWI66niJh@AWkdwazY-eZ$1&7Ahaj8YM_EzBGlHB&TO!_{NZmo=k z!q)E*?qnu;y$Hs<-&H;d;o$})r=Q0Fa$}L)ITOCK^&-xNz_B84=ivSMLG`**vNOFxl@dpJg)a0hH&&1g;0v4&Od>n7^Q$GI)gfW`gEdBr8|kx(`%}k8orP^L8#XQCmY7s zy0bXN9r06}aB8|19M6^&Iq^4`%Bmm-};xb=-OEpk0d1 z39kNIq+yyn<|=t^Ikv_BrKp^gbwVfgZo!F)^k-ZOH6uI6q&+UA;lIk+6Pacx7op$- zJ`tU0MO?Hr7p_~z|HF&&95eL)yc~O6cPt$bQL68c9P{Vym=06i$5kFuC;wZCId!5& zC0ur>C-?sMxG`v3_zVCEpNI;_*OpQZJb}^2rEH!B*PY)+ZEKM){`uHP!yh|=Bm#$F z3WL3NOl5*|cTqRWck4++1aK)OEvlPKaQfK<^uB#?=g({WhSPPP)MDvD>3AyhCzT2} zxqF|EgbCPXV#R0K22JMf2MmA5VxZh=@as5rS54Q_&jjLQuq71|w!k;=GB!2{0E+<_ z4S=o55s*wiDtSE<$2CJDO8)Fw0kz?LjqqG{=EQ>3DjRd|3KmS9-_nk&sr&A{KkLgw!1c@dFHp zwZqt(UrDZ$2IjAQeFumR0oy?9ekH}YFaD6RHuEjkQlx`s)(CMYC;s;evmi0WtFL}X z(O2yDP@i#F?4(-_A*E;R*3r&FFS4Qd{M|z$i++mTc>h&5D(c(F>S*lEH92K^L!;vH zqVRaNZFL$iNiIDD(`xU+jSjahBvpT6-23Iw$ooM#``0xW5H7X^aC&XdRPeZ^f1 zd^;iY{uFB5?8SMJU8AWeZ(Jp-M!b@7aEgnBwoy)GOlkh1vw$y?A)}oe! z+eP|8j`I{xE!MNAnwolG6=|WUJ}$1I$Zn$yyD#WoEQ-hEJlX9;9LujkZA&LqHCTWH zqd$exej)E4n1{pN@U-qN{TJOT+xuIhPxl~7m7LnuXH8w$SnW<2;x8OCsNIJZ$JDsFtqmiS|Xuj7ob zsTzOjb$6keXB%P}w_m_O;^YT7A%d95w{ zfSq=`5WRB$Q}D+EdIsSsk6nq;L3Z zwP|de<#__>XQKwr)V}>7;RT}v$<{(ArR!{U`RqF4A6`;0ESc&qcRt@>49656T;bZ< zpUdE0Ywt?GxZ>tWf`|7=ji-`3Hnvr%Bjwzt@C#i7gX+qq=dh7413ClG{7^r%AOOI6 z2L8S`JdgDon%-qTGv<8nVMTU(TlvRm*wh9lpS&~YIj5o)%gVPG2GIyFuA9_=#@P>l)L0=(^Db{+O^>J{R!hPRth) zmv5J7p`YS*YMyG=-B&CUyNxyNqe%_3S6Nsky4wc}$V|;SP5ImbiP89^eVz}W1E_(c z+?c6SK&Gt*r+JbJ^90x~f$N|b8(S4h;5UMN zrGicM`Sv1s40FN#_(`Jxt1*Pq8w^LgTT6k-$#mv%fYK&`L%IcB3s7@eua1ick@K~W zt6h77h~and^lqB%?`586@u@UuF=<;oSORasP;w-ZLI=IU6;v{6+qrP*O_^j=YDpJ_!H& zu6p49>NTh}|DC!e9%d(QbLb)L_~T3;bQ8BOJSx!jQzxZx%pMUTX|6o3XYMNS321GLvDRRulow6(kES_gkwi$w8o=eBu z3->?f8MG$g?#Wv3{Ke6q0HCHJ(wIfPlIFi)7sj6n4feeIaP0)W{PC5L`Mh`Ko^ixJ z?z`)*`ZJ@)U-C{&GJh`Hf=Lpyc;}LAoWZ{*>IAx}Dx{$4)|LMvYc22iU+;_gw~j%^ zP^QIpLP`>louiM}GDd7Z#~X;o$2!yYc$)v?p~2Am5nXgb(8w~V~S%Th9^3WTnu^_j9J*&vbMrzI}-fiU?MF$NPq-qEXoticCRBNkE2x) z4BMpp9VSF7`NO_H&s(#Di}(`24EkA9OG_&v3L6hk2HH-LN)xCoI%uc@^GYLFzoC%B zEYU(b#NrIV#Ddgyzlz$Aarr5&a%ZC3smgmANlGf}*#Mis2x2)#1?3aaTJ;b+Cg$eU zep(-%gfU!+*JCU?Q<-ItvQ?Pv3m3u;%7Jg}f~p2c3}D~?!^WqFM?~D8CaKIlVWE9w zNXkj+A&UYHaRc~lf{PbVySTV4j+8zq6}x_&2;3Lqw{8XGS{9r~_Twv_bGV*gG{r5U zba&jH|1k0MXJAke4x-EhWdLr^)9}z7&KoB3@xsv2LItjtXbwGepzh^GFHq|uC;cN) zf7Zj=077~zXoWzUhM>QM-~I5nG4ees$7(_Xx>}H$?+P263^-E2Tlzxdx$lV!&g8Vu zr{~42UZ@!V)l!QC4U|Z;PV;;l4 zdw4#MOk+6f7bkH4(Eis0dI#6rNa$a8Sq1!FLwq6sVXUX;!z6rG^fZs zZ+liW`brxv+Xekq*P!|J#&26p0LdJBHK)rCw!RyMgf!U!O$QALUe(@b-wIu%3kU6n zDhT;9_Q8PA z(Cj_W0QsO3P1G83HvZ4X=)aZ=lGnewsb$EnKY87r-{As{(V*w`IZ+@qlsqFsnr39u zhd1YdVYj@4l#((ST7Joh`oW|RG}z0qF#R5X|^b>mhA>Y-|m1NpO5&LV#$C=1fr@2@5+9 zI%c?5KLB8cSz0i9wMhW29)Xj=U-GqbRG1hN$Y0Ral^ zPvCSWV^RIY!GDSFqlo+#11Ve(EW%wCqp+huUIJw(0G0v~ZGof$k2(vS3?KTNAyv>R zfe@lp+mLH$MMbF+JPrl$s6~TfV|4zMbd&Ivx*8#h^(6 z5yOyfdH6aB9zKLy&aoH~^q!(k)}Racq~z#WOu}RGl0f2IunhhA3m1GPk_dok>s{Xd z_3JzsgN6*CXOsrCs>?iN!G)iSi`8INUI1fu_Z%%^jjw}xq+m}@PEHyc9Si!;O9Vjs z;S0Vo*L(2#lP4chG;q<3pmm^_!P5>}%;!e{5o(&7Whp={_^=F}O!bgTptlh=q$IfN z7Zw5JI;Yx>V0(g|ELX5cd`*qU%ggI?_H0`WJ*bTJ1*ZL<9|<`uUj)$>nNNvxv>;wG zf?F}oHXhW+7rI9>8I09N}$=jUxXIZ)+RYp~gYXw@jK z1mmmV)JEmO7I}Af_xQrXN85O)r?iT#&`L^5iro*sv>UiBEiQJ#Nxc2=HxY1~x~8Uq z@SF>j4&cqi!p2_v5w5uKI_mXnM8HIO!epyDmsvsD9qmucdHjv>ntI-8BtN^mi^4gD zUu$5$!1K8Kbg1yJfOdPREnwe)%l-wdCenrigy^S21+d~mD#i)%4|oDvvU(<{69%AO zLvI6|K)<-S<^B=q51qA#Yr^z^WTG^$1#NSm?&83X#-I*QNWe!S-TQW7*OWx@t5pEt zaM=8~1$=BGqW6GI^FYVV7rL05#?_!N>)UM)SLhUeb4`_w3lHwc3g$~-YPD8&0p&CR zmpnc{ubytNi8Lo6N{#cz99m-8nYX}#LDSX)bz~Ny*Ag*hK;tgUQuds>QbzAk9w_qA z)2CHplR8B8%+nLKWLS$OcC^3lJ@%s#w!lSD%n`BX^CM_G%u-nac!o3!fatj;2^X~9P1j;&aryD?A@?Ia*+LKiAX5*Q%mAPa(s zPykPnh9iX1zrduR3++uqvX)36H*}hXKK}Ne7C;t2QYrX_7vd{L(7l6L9RS;~AR7qM zNV-j45+rKKOluGYCZIdnaVnS(2~7}VQ8z#i1u6<@Xhd375Nkxv(Gg(vU;O3EBs86uuQ&njdp;ZQ zf(PxNf(Q!^eK&{>fOFF>*9R-79gYuMcqBIhymVB_`g3i{RTU+;c*qNR5zxF+NCUSfWsJEsC9si}I<<*6wEQ@DJM)%RaPW7=7;$(t-lTwwot@uFc?;fp5Yd_#9NhAqZ;+ClJYM9i z2Rl3am1a{_Sy|KHuNE^$+ma+BS6A(YMMR{}#uyEk*y4;FeF>#ui)oFDiZbjtcwNxZ zq2?bLNN?kF=FAydad&~ABO~zc>hCvp^fqI%8>@x|LJslq@jKf!N5nopJ_7>-QYmW5 zPBU#gvuTm`3wkR!(JLH zzAh(+O~N7(X4(CI;(Pp+osDi)hF=4v4@YE_ln6%MW|$fq8wFbUJUu<(nJ)`i^?Z=t z@{!ci(mHqXVnYOz81JK5wQ%Q!{@kGOaN@7uzAY55WZ%tY=jJAXLC^MN#`Fy@jaF6Y zH&?{{`el0UV59rh74rz`Z4Vyg9XAm;}@mjE@ ztt~JvF0OB1`R2{*y1I<;uoDXlI@VQjaWvGIv{9%JA3jLIY-oMb4Po*5OK#qt7?6;V zkTROs7Qrn3?DJ<~Svk47!NEZbhp1hX0-@XY?%kukYC{Xp67}{i5h*F@X8GDwGY1C; z)|k(cmmkwnyX4WSCpZV#XJT3nO-#BC_iI>SrrHw3rWSH*KE*By*$g~6JlHq+_VO|* z=gWcu{(-^4x}l+=>Cf9A<)zrj}RdQ|@&baj^P_N>#5v)_O3LQ)>ZYT}U zRqacHZ{NOM?YhZhS+u*m%XaoG&W#90>0JFPB5&o?pa|9&frmeZF{Btp9A&c)V`F34 zB_#BB_V)>4fhVS>I3BdUJrA=ixVO8r6AVKMy&gmo!jlXb_wq=E+)P_SKukN8{}gim&ii0kYkUt6 zkBQmYb9)+AQ5ETXk5UGrDBw`r)UsVCu-Wv;&x5fQ2X`c-LTzITB|Vz)-G()D)b z){u3o^Fm*JQ7IeCeY(b#hwT zb2hfN0fmKycmxC#aCB&7dJc|e+mbM%+45nVialO@Qd1+D==PiL<6b1QIK6dWPF)n+ zbzZZtry0c_6A@BhsvRse&v#zX3a_T4qod_F#gh-G4`^vo@Z6n_3x4)YMoo>3*=yrA z1j^dMLAsc;x9V3X8ai_gB!z{AXHOr+Uol_(>C~PAnkk<^ySb&qzQn?Z)$4F3P%qfWT42B65_R*wstUtSF1(q&H3JQJUq<<`6g^}-zFv} z)o1v8b|!E&G&L>7dB$gwe3~G#^4SdVy1KbdOnwQ~&Ns$}$Q1qZC61Vw*rSC$V#>41 zwO#2q*S3c3I9OSw4i2r(#VY;X>^DF?f&KPY+=JTb_jl=Rt&bgLPUg-va0HWKyQ`f$ z?Yi)>wBy5Vj-30&1Su&g!uI1RUq3$#6ik)t?|5@HEv-O&%CpIeF=w?49}wdZ(LVX{ zMrbO4MjwUp+!{20#cPBaNJQrg&yiYL$(W&<)Rb@1%xm0;2m4?=Qu462-@qpvvS1nn z`+3-Hb#(i=#9ex~Z%3n8aYz_HXddhk7qS+`oaZ@p_4K|JTle?a)*S9-=jG** z>f z_aZKiFkSuLf)@lfau$}{hx@xTNehg{WU1x!*sKup@6D8pUG!k{-+|qQjpDN#z2-1c zk3BIy&Wb}!|7dLcT;mvrh|B!~(-0JE_1^qNXB|1Y06ctrauO1f)X$%_52{gk0Wxd^ z1O&?-IWVR8sO_A;E0EZD}1sNGDx9;cUPM3~k z>H49e`=$>bWDS4Pue!j<#3TpltjE@_diOnw70$@JhZSz??^oB?DIpEcCmq#3#adw0 z{M?-?7pncE8>?<`=j?~ipJ`F!v$HVmaJ(>4XH^q(I`!}T81Z^2$;+#zXN%bzEC1%I zt^GuOfP1rN>1(Hh;ZnOGrSvYVH$Q*szI*?k{lW#MH21}h6fF16`E>6j7kZ(GZ<`k2 zAbuThj!^27aW#`1R*FS-+FUZ z7@}EU^NVlOfHnHE>|9-i4-Zy+I3y&P;aunC=htOvW*15HjXYldiSOd#Lc}7WJJJW+ zRrwV!27oBou21BT>ilr6HN)rks)~z?HIFI^3Ml$N>0O7-KEAk^(``Ptun_w09Vh3R zGZR59-nGxq+*H%h@UQmT&zebuQ?fW(#o&iS>|0Y)wrhE{1hP} zVUbm@QrgJK2vb{I+vi7f&*eQrsV`eCr8!JBeRi0V7w7o2^o7Pi7Sbc1`-a8mvNEHA zJfi`4OY-dDYvJJ{%RAP3Qc|eHy#<~ZFJD>}jUDL2Y!jhGtKz&5_Ubx2$;Z6+FZbmd zL_#($=rg}}JzX8i{jR^FZ?MLF>x2skSoaaZp_GU7*4Jz^T3MzNvo;FA12PS(pdi)F zIPQS#?Cieb(Ito;$oG1Dih4fK(bw$nPtMF_^m;oVjE+vf;3*}dNK-n~Kb8l4NVN?w_x={Mt+ z2Xh~Yqm+{*nBXk9&Sz$gp7)1uRp$&F{q}C$j?5pBS(6 zb6=WCI(6z4D?I&}=Q?ruqdDKpIwi?4x1@{wH&Vs;2H$*`N%SBAWDl96%+3G;+y{*d zZvow;iAzed1Ox=EuC4KD>q6%Kw2s5(a@P-KXk_#hBGhC9siZ8x&EM@wk#Lw6hf8zY zy!spC6BG5VN6MULI$((hhKConah8!&wlf`PV88zR77@eM#l(ZFcB2qh-N#{)YV(X5 z$e5WUAUNJn3Muh%wM;82I^EgXiAO}#2x%wZenO@yFv1HE_u=2&`}mtb%beynH#pw+o0V_f+(DYi+dKIEZeSbdwHcj4K%iHQp`XzBQDN zd1pV&&dRDUF#9$>KK=x*-)~(rIyy>ww*GE2jy);~jdU^_5ewULVB*6Yb&+uK|Snre=;{+ptA z|Nb*o$%E5KVBe?Kt$2KE>Q!G~AFQ4~873h1&4`2#60UOzAy$J0XRboUKx5!Zj)8$e z@6sXWzVTsC{XA-RAfJPsgJW$jBPkV9BmkFYC`9rf{GcbI7r+yD-{95OZ3rZ8*qG~H zt0&|!toO%9%B^Qq7dy(Gt-}>H0Vg5HZ*O~r6gKeb)2GK{R3)B5vDDOQf{zJkKS zd|2?eVlFD;j(-4^8Ucp0cXX67G-Op*SI;wVXBM#Rk~K+65Owwiq<6TUbd>zz10Iyc z?GpPr?xQjgPu&Glva$%~=H?JI2H={{q={(L8xBbjB%4QbUD&xbhoU(-IeAvS7k*ZI z=}bAj$|z_FIeh zJpZmW&yLm9>|G%uAizXbuD6LH)g-;3l|P`u>N@!k3iV;`mr-*|0JX?Wn!?CohafOP zSXA^G)R3XD2`zu}W)u{t1H{3Xl$7j*g z=sJ_mdNaQz?4Rf6rk0S9K)^c<>}vXhv$tMzUb=K?zLM>G!t&;NTYEbV z1g%uSlE_0A*^O2AwNE5fV;#NA%2M(?+?_!eajmV2KpH6QK)E_QYZ3nK&%>XeQzGi> z>ZCW8M|6-?N8WrpKmSrW8-q_nL&IlSi*oq$tMz_9>;Wa@ zdw^K*0Br*jCv|`*a{s{UVb;{*;w2j!o5nk;;+hNZMPV~iz)qsP^;&@3u}rtfW>8)E z&DC3{si-VB-iWz;vVa5(A$Z)(wa3s@W|sF3FipYAB<=qvq4d95sIy*om|~Rzfa|F5 z?2Il=;AH2Qmcjd3=|-8Dm{`nQZK^OmJq-j!hleBt2S87JQnI8k6}k4|8(AxNZ^_EO zzsSXftFNz5T(I)zkK@j+Fl(;VQIJhpMFq#ji{E}xRKtf~>!|39P7?-TwJSuqxu-aL zm;_1n7-p%3Gz?_++rC=KNKM6b!&cH2og)k|IdGC&yG7;c%MJC6Z|k9S7G3#WVeQ#X zEKc`V_gd-c#7?CKuGe^cmI%I+PZGf|EZlb_eBssdoNiG?)R%;74sq!*7T2K_hF-!I^^Da|4tl+}9N{~8aK zsoLD_sVu|tbn)YddeJ`U^v|1h`1mrTzrk$PJF~dyN=AbI+pN(S^rT6r&s436Fu>?$ z*_xfuRHzCzVXMA*`|)2QVvpCOCAnvcuXxYK+6LiEIq{Xmxn|Fcg#B}<7mP4snG4r6 z--g4h8}{f)A&JTdcA^Zo$&i~*ShhldA1t)rE1kE|jmtPh#@k6X^qLPG^#LcM0~{5Lg~9R>L% zRDK^o1X2hTS@)Ab)h~PRUc9>=(5yqHcBDc=Le4rXqgA(cb;IC2i-Xa7=q)>Y)Kf8U z3#GE)(9HLEKcJy~MzzxG-`G`$K)6o>hH-w2oI}30xfvG%51=rC_o_(|8yk;2w?|x1 zPbw>~h0Bsk9RTsKx-bxr9Ggc`F)>&HGAZ7dO z50D|G+7rd2#C55-pNxV66NpV9NUe0^a*2@c7hENJ~y`8P%h|qqe>w>Qy47`LCmh zc^qWk5>Ttn@g;w3FKK#kas;)HBVPcKl6c_c=3w8z@tJgOL+dB_;z{mYuDIfGD|hXa z2rPq>&P-a^332iybmJeiRb=~P__@^zBLT$pxAx%8pF-bs9ZWN>IP(9>E4j_K8p0pu zK69Z`XGCke%)OI7>5IqYcL!VztroJLG}@^dJ?W_jn)4D25{?aP;sm{G`-|34p0=OuFhgu<>g^p{krEl__)Y!Q0MA%6u_mV@$6So@*|O$vPI&57b;RzJo zlGXlax-0DqThvYT#wpDP4$bbo%NSzg(TT{Fbi8gEeTI3?{+mK4#a#1j>mk%@jj#Aj z$N=ou)=K5*mQg%@{CMZjH=b}9S1k42qb{dMT9~K{7fqiKS(qMde}5tGh!Kx%|NHax zgnd?iY`zt}y0t2Tzm6^WedR@zk7p&4$s*b`qgqdulU8C_Gd%6Sv6~=dCg{@9ZO*4D ze`|}1ib~k+4`+RSeUB|r?s$ZR*Oio>k#oeHjU~_)$q-@oDmYbrl-)6m6IXP+;Z7+0@|`NK$F}X(3s;w3ImVmnh8-MCt1@r4&Rs5%&E7JLieKJN-*MsN`;W(Sh=~|28>>% zM~*#=Fi|A%%oD`=aqXgDA9lc~tjyPYr}YZ`)2YVC-! zm@RF-3K4zU{fwsK9qc%Ui3cfE1fK+amGDgu^~K+eb+25tS<);fRW{`;Rl4kOenczn zW94^DAv=vyo%{H@WrpD)ggjG)uBxZU@*1yrJzI4xrTFgsrCs564BKj^i@X5PP!Oso zL%0%ap;`zybMs~LF$L2^a*KkZUjQ4W%* z@nyy8P`Bq8j&PpJ`p6 zen9rUK3AVqA#W8eTCr=X?$P*cVG`V%P+ggHrpf_{aXmvNArIss2xMa}6_b<32&2`+ za;PTkSV9}0F`AeV#)Ns>FOwp6Aad#4g$uqioxDEEy}zE(JWuUx87&{(&%E@pwogBs zL7*?tc;hQG%GlU=p0NbM#;4DdP8BkqMbvXrIV9EebZk`Bi1So&K-h0VW8L8I)F+7j z?$$A4R9D$T=OBKk95jl1r#pBBolEd$U3TAg+6iUj9_P99cehSZ?{ThCC@c665G&y2$VMc{m!#3@t?2zzTlcY2Ji}Qv`HsuGgkbhR6EA2 zGEiFF`Lu{290iI~D7KB^QH_6rcr|Gpx|QS`aQ$jw1U~=Q1II>5H@%sMG#t;vw(&OH zuD*K>jgyfyhhQEBH(%xxs2(GJj6ybd{$voQ$? z;lRZ=w6&3dV)p8)Eqzv2)}v==aP$F#QP>^@{8BS8Oa8!FXlQA%18hl8PoI}St&N*kaKCMM=;x2og>P*P1mpMjhe2(YL2 z#}8ttx$A*~fOw9;Q}TKSZovusGktfxPXh!+%K{n zrUoiX3IHyO^~@P;2*E*b-n=PS{RhhRvO!i)R`eV)U1XV=7 z;_(s+<>uy=S5guPf~mX#;A8-BnfpKEXRZ7CbGlDl#eVXhiFJ8yeM zi~w~9Obzg1^&f7h@j~E&d4@ZW10gO21Ye@}o+U~Oq#7V^)*zpofLMeuqQLQm!jQ*Y zWG7V6$C)^gzPY~(7(^5bq(%BApdsXet3w%rMgcTPEpX=!`&+g^t}p<{7gC-JR2u~) z<=T*SE*mH3Dd2;H!@^`eJu6l6d68owFne$Cdb4c+b^rX}zw>vj@XJm;C9ggmJ;iDlleb5`6Resk_5mLwJaGh}qFKC#PM=k2^OcmzJ2 zUiTm@9HI{{ys%}6<-QiK6)SClTGVA_&L2;tl&+rS3dg#own%B~LTpyb6e~NsmFwAS zr*lcG+6I9eZD?w0Qp<;fE=UXUaN!z*L8gZB^3O70fI-GUlL z81#*gTZpQg-^_ePK@F~MDhzLd_>w>jz=Z`vl=QYl@lYnQ$H@>hh{-viBtJyQF5}dB=L9dPc%xsuFrC$gY5RcD zv;SU{OXV$MEx^!7Y9=Kh;MYb55O{X_#?Se;i#!I^VG|8OQ!UXP_KzRqpiYC6BHlc) z4vs1o4-e1vW(8T(wq6=1c2_ExHvJzX?TQ` zR@u$e_O16yGe&>qLa8SZZ3r~)9$RGeU>;dJ++Sf35JqM;dezUqC~J`cl)CuEm5I=< zE+oG;e9dxS&&s->eed2x?_Gm0$;a3 z#1Cp{BcPyhNTXmqHqzEb_TiPxBPMF7M090D^W>JCB#_)K>0{aL1lc2%{e-#lq zA)IkR6ig>*nZ=_M{`i#hOhn}5x35P_BP8CX=eVlbrZui>#vdP_jcG;u{FwRgpV@ys zxJ{bPrk5BH8&I6zz-mRN#Vp#Mc7~rRi-2_ngDI4>9%hx_i6Sw%`T5iTqUbE6?9JMb zDZ>@LRZeGgLCb%6Q)w%RgsJ`}PnAE!UeJ`VQF#wXL>VPK2a@YxfOKL0EDqUD1!Dzf zgznqR#6X_^g&_LbYyT<=(HK^$wiD~HIN^qPXFZnSSdw16`>D}9$tw_qmCRu=m*p@h z^XSlftt+XGa-*xeyAy0x_m{vsb?(w70a;~ODx79~cTr%Uz+@x;ajPMSv|(&)j8z)B zzwQsFjg5Qg5CfDIqTNEGN6dl{o{eF>Ux_+j(Dzs>4h)VC4p#7?kTB0(=RFLgy8`IC zqtIOSMQkiWbAa;-`Q)hUR5<#R!5hg=1#zvWt}_WPyuhIWDUukSv025}|@ z4k3}BF1U`_;mz~sm{7G}UjmW1C67~gaN+GDfKdT`LbfO%=qR~V3_*^;Aq<1Jqd-g} z0oR;>zK*swVpITX?}n@E=Q>RI275!t`N4~^O0qX@qycXQiju?iFEA=uoOj))#32;> z2L-LqJ%;n(&gp6AnP5Iu3hWyVx2{Dn687koe~5T^QQt{-Do7HtV}7ra@C=~9uiw8B ziwJUn*~cL>x`LVkk_$d84Cv98Ig!tv`684h(0^&2GZ5q8TymZ!z_^bx;r{Au!N_whUnAN;^<$oefJEBolEjU#0?AaGXIw^usMH zE1RDN&tadoq~kAzw<1nBii(N~%F2ykui$&UsGVTa>F%o!o=6}~gW$2}Jjr0FX&$xx zgWDiz!7B&N5}=TQg5~^4%wy{k;<5yv4xQ>X@C+Lc7MRWU=dvK?0}zy~m_qwn^@HbK z2CF<=KDwyDX^#lwFl;dO=y&W1 zi|V;=tEyHYCB-Yc`S+qO?W!@~reSM}uH=F-0VexNQW6XQl`DubDh=eK6YJKWKYt)- zX61*+#!~6(>O#Gq(VhQDX$#I#wOxIU_d&S|1`@5vaOj)1x3>B$60ew(fH%!~bOe<2 zo}-6j)#4C@o&Zm240w2UurP!9Y2W)h1(Bhl*~gLKd~0j#Q<)UCnop{l1~lO26@W?^ zoOAG5F5oI}tEnY-W`Ka$pKDMv<96uLd47 zu=@$95at-vFvBL619lfN1R~-n0GG_Rd<(rnKqU#t`fqf&*2a2SSj5D?Y*JvhhL_@c+?l zqW+u`M?*>+{C`8r=e1}J%BdOs2mjsU;`W%>T;{wMhE5}0tP`gH5>zmci%l`~?V`(0 z_*zO#{@X`?bdfq1J;-B4%kVQqhU_YdReAD((}!)ecDQ1b(Xe))+2CUxA}* z3?8{Aq7am@u-4>(f0DzVInDP7HzGNqoQc6yBB4-*-g$wNY&T8)zGPdsw$D{`@IBa=~}C6JknomNdjNYT}oT#dk}m4T`&G*S{{zI7}+s$5#p)b zShZI;9cJ&u+_KN)ug*#T4_-%t6FuYtLw}y1HQC zUeA8k!B9yT`11YeUFyh`ko`xgh!r7^spgNPsH~b{)yKP(I(>U=hf|amgTK%I$sIDD zvXcB;H1?yVld?BbFm5Q))~)OBL;kNxjW??n?Cs~Yx__R=BtT{F`RXb0n5;$fwznZ5 zmTf+di7{D>`rZ{@^Q)!IFt_t%j9KJ^HUHPdkeIa%|gsXknSzX0d$d zeP>^#936q9Eeh2-=E1tDO&PxFBq}e7f*&6t#jk=pf6c-##x1TCy0A|Tm5i3|?K62{Fzct!j?P@zlhu`< zd|xw@WOHvO^wWgf?12o)wMwP6pB*>xmiM@-$9n36qhm&`K&CEybuLY73*25UEiGy_ zZC}62SXo_w4BC;3eRPNJ+pYlD_cvYSx9v;~8wUtmDvU!lLx&8HNST{R!WHahy5I8J zS#imJdE30o7vEB26{;#};ddbUSNuY3K|ArcF~Y{0)WX%3%o+P>^-W^uE_DV5KF8F( z7<{8jNzJX5F)*gP_gF;&DIgG}06s(LNYO5^AbpJwc|!miO{zosFzu=|5S(C-rLV@*aL{Q@02$>T4^ zyhgNX4Fj}9ZMv)>b0mk0OUjJcTS!$^Ra;E?ZH7y3nN*QsLa`Yb6odoe`v z8)Z;1;B&BV2m^d&y(=uMOtWR z=&W$Ddl7f!wf;Vu9GA$gc1dOLoRh$IKLtIE%kY ztv2*C00;^KPp31mRFvSpiUzcdLf{fmV4|H^Qrg1Gux39b zd$TOoLtmd6Rr}-CdVVXI<>#G&J+pUq?$x$4Gs6ZmjWdfaTIcI}3R)(h>Yi_K&cm3x zypGjB-kx+9=!^ifT6R0u5P&1J{d{$GXJ6|V_|TD#o^n-b>8DMPH8nM%v@dt}IKG}G zZ-AfUB=!%Po>!e z%}Jw{xARI7;tv`u8aN`aVS+{K`)ff$(6wm=EXYu-&>-Now^0W|R-WUu5<-!JhaY@$ z-Iix1YLV)Xf(RjaDQ#_Sgs#;te*}04O?C@>I4p&nN&-U@0`$MLh8)cY|v`Mf$N$P{)?7%yU+a=*m$lOo4GYUrh|Q*-IKB6m#89SglqC-#o_S^w=< z5kMoF;O|suW*%o$BM7RYO2ysBW&b4R={c`SM;>D&shXL=HxECdk%i?r`iA^EXn;e1 zYU7%@U7o^;odXA7wd0>An66|@)@~;c%46G2?I2>zF)cyE7y$*>6aL%J|Cs-VhP>ke z;h#ta#Ary?Qn}V81_}5-cRW#;Gf%O0a~NeS3;oOHa)SBFx~~j2Jo+D(MPsaZk=Q5t z*VoVo|3Bs$Vi`2R2|-(vPM+_|u?gk`a~;oE%Xj?Q_(fvsR;*)?cjfquocN7Y(lL{p zi~n5cuKKsiaDu$v{;#JTe^|3?_NB$KI`e~Y#vow#$}Nzb~qjrw2o zI1Vwf1W|Jiqa*(RcKDn;x*O#MxLm`|d(SzhV^DlDtN(d?lxdgpu>xa-0{3QAt110W zXk_eN`1b7^A2=b9dJO#AwAWmD!KTZ=Nqu}%wyfOP-0f5kvm@wJWET>;TLpB7cGbhK zcZzTfaj)7A`6I*|bbA4c=KUq6h295>zH0b*;(=>&;?Jv~4uf-VT}(qoHG%k*q4j2U zv9KKzrIo864t+I$p-0elZ!Tkj$z1Pvi_B{FX3sn0RzcWp=>)KwyO0Q?SIr$?3Yjeqx=;12k`rlxJXvm*0mnnT&x!C))?0TJO;^SU(_i zLercd)Z5TZRx;|)gNqh&{M0Zyj-)|f6M?3i`QPPPd*#AnVrkI$1({R|ywqx-sX&+r zpO=u7tZ8%lyT?CgYOsD+D>kdXC7Mi-kuIYziY|NiKrgA)PLzc()_vqo20<(eF~&qM z7HdMmhtzaHB|+IGlO`XI7Dbt_(W0Uf6C)NEZ6FTzNVa&8pS{GzmGS$rg6?M^pTGFW zK{&?wMgGgo^RwLfX7-dyJipxHSdD?HnOO+Ojfh~#4TzBl3RhNtGGpL8 zps$3Q9r&8J!VWTU^L*pO9GA%PAR=xz;Tir|F#ZWtb}=;Ni178&2( zucMS12cIl3kv4fI;4Wglc#)8bYA+HKxG*5h<+H2fcnq4r9E3EAARP>P<&WwRk?O&Z z*BB^j9(^Kct{{SE1FyF{C_8K5@S0^Z(KD5KwF*sbPcI(hf@ja3?R<;+PEs>w`pK0a z2*rQ2?skRfayP@`6;=26x4c;0zxDgsKm2|FXzNA$3Xv5=_X2;sY*3AK#)7v}+TNZw zf<^M-VpK5EjX$pJBp4R(BRG>rS|tHn8R9WU@e69x2`SQb^3m9g>gfHDnlmi$+@^T^%q_qU8J zEkpkP^$g#F|9}UL;rs=5_Acre@sYUyR@$B4D5ckrR(X(9P#8D107b~4)kN|{xdBKC zq&R>z12^#ko-s>2R5wK_7)}3e9+~?Gm8rK)~pBPlDiwzz%%}Xwf8x zS7FHROF_Z&ko3N*gN9|wPY3_xeEf(I<&d7!Kv%7cJOGcE5vV)&H+#=YQH+_iJab2@X~@+7f0k1I3=XFt^iZGRPRg@>Ov2ym*f_Zde_g!uwA%7Ahmf1 zn+95)0SOHZ4Iv!iK&4w@lLMH@LV($6=v)NSiDOgAoxCAW)G(qbMdWE-vttH>yT(Sv;Tk`=3JSU1851-cJTK z5m5afPB|F3O;dRuZ1w|~I*+JOn%P=)b#)jpm;qqhQAmdlu$)LUJqm?%w1N(j52y~| zIuXGe;p`z#p*|d@0soE(g2^>#7e;!sfGEE{)7}UjSNQn&3O8>yKyQjav;q)8J6PXr zOmy^9i1)@o2n-Zk(|GSr(^SHNo8N?{lx7gd_YU|X1-dne0wwNmAV-8i3dM_6N`DAG$&$R{Vk%(B z(#T}+pj{2I7jEvsY)wp0r%SvflX(O^%}5V39-FMYdpU{~=5s#G3Gx%>6KE|9EdN+p zsS7>iAt2yeZ7>O1y`Yuw{0vQz(4hMaj9THFu&lYoxfK{>NE6k}9-PV$P?t9sM4W!( z0lDn}grxH@spMZ)s0U;pKKumV1s?PnP<0lI=CJ$OIXPwF=2}`WQLHc*aURTZ!SvMa zgE50j%F6!GM|a`k#T4~Sq)D`~sVS=;4u<~JwF79Ecm|v$bS_veW>GY7VHO7fbHJgR@FXN@~z64=J-V10D;p<2N~IT%ZC81^UB-A%P+l8?;f}-p)iav9Z7VN5J+w<*cZPk64hPA@Baa73c?5#;`uU zZXh;LplYGl>AV|WAS{C~ly%6j6jXU^BXw)_?r#Q9=nfKX-h(FY-o2@YuC6Y_ ze2QrAR}cdRhlkT(|K8vBfgX@G_@#pS-riy@XPt(I1}xZU*CAu0H16gB)@huIl+-sr zf>v=LgC}4!f%7f9xcY&qbf!kuFo^WvaEMMw@M=zUKWB~z4 z21r}UdMv(r3?(REYj7STkWj78~bckpeKuE(2!azcVsw^o9*DU!#JE*b< zB0wS!NM15pTGU954(-C|cBdy$4ow~%t{fpXDKuS>zyj|{>T|3>J0|pAAkEs)oBhT; z36#=PC=eT^ApY?2k^3C(a=}7DmufJye;WgaL^_Xw!*`hPIS*y5viO`Wpbuf6!)x#1 z_YS~zjQDfmT#8nW-C%Y*1wCjx@QWHzV9B12S#cRF{1GKA4ZMtnhC!ryvB&2%_`OOLV@eb9D zZ82z0QGP9e&&S7ybh#nFJONkeo$rTa1Vcnj$q*WDz@i9ne`J83I>b1D*&J+nzxW;V%Q+530h zbk66T@AvclKmO-&&gmTP_kF+a*SN0d^?W|Bci;_WIf9ckClLf8xPDFgCW2t>z(4gk z*zl7=zUAZahoFPZ9fw=irVdVqb|#3Dp@WT;wS(2YyG##F?CkGZKj7o!=e&G@$=t!g z#$Jev>;B&ta9Z1$aV^KkYr;)%ZLVqBBM6Zp`VU5$c$mZXUoT_M1)ZsoySQ;#>GRLVrq22^ z8am+@c$y-vkvTnzKrs4DTNa5J-pNXvML#n9SVdaecszP8Fd)E+E?ks^P=CITFUm?!}Ij?{8&)n zFP|b=A4>npVfyAkg;&MRR(cAGC-##qqsd`nRg(!`q3iSg8Z%qz9RVb)OyP}*H{UaC z+m|{ov%nDGZ;Fdr#;eQLgT;P=_P>~znZMw-s}JmMt&q^uhuDtSjjptc*IQ`Z&UFu6X`ouR>%97ah>>T^cnWwdyke>9(&a?z&)d%npio;T@g)g2gZ)$@J1C%DR1 zPesU|(ev7K{A|&6($CLNz~%SpcS^6HtW35V4Hi2_+AZvCEV6QP67rd~NIN?_r^Hs* z*Pqx}9G3g`>hk%C&9Ga^vIIXTCJcMBbe*>*qSl7`b4>8&=I5U$BAoQ^fAR@F^)W_9#+tgi zH+p5R#T#{DjA1{28qf9RrgpR(z$70-1_lN==ILN1*Vor0AMVzxazsw`eq!BUNjQkO zzRttLGu2A=~WeN7Uo|b zV>L83etAMbyL!sw{aK|~24gjW#XYsPwbA_63^e=?@KbIE%7)O4?rjXqUA_8f$TNiI zaups|sdqS=%GmqV_{U{sqPx4hA6-^VbrWDSRKijq-1mQ6YB1)#WYLKu(YWL^U2*W< z0cSOVkU=ECEWv}~!Gi}j4h^Zk4SN@x7O@K#&?PYu^SX8o$D%9UPrKlO=&C)vs4E#P*12=%dUMUf zIG>!?$U@k+PH|gwvOBxFRt*g?JbLt~_w&8*As%@z@uw6Qt6rQ@aPZQmB?rv$3(2{%$&7oKPDt>SnVxb6a;e#mg-vVeuCDckk`B zSr`>bUtb^gUMRLix;_f(Z+jch#|M@PTpWY%Jb>Box|2j$JS4~9wu`G=e_=`XPEnSC7_8~nxRgi&XjDh?iAHLT?m z5?0wncpvm>a4trF{d#ge{H)5>t^g0kj#~Mm6JO+ovq};r8_xIPOwKW+vHL{j?(Wh&( zJ=N9KmC0zJ^@O$EG?#WIh1*N$}bigp=coO+YjC zq-(Z2^C`rqWO&{+Wo21sX90H)kL9%xD$=x#E6};;Q$>B~9$I;JI6aQ&?DN(3O50 z@s8m$V>y2wkN?3yQ(NdR{#2f6~jx%axWMmRaH%6-b@WS@!V`dB|LqbAi z7Kh5(vvh?a!$@#O8I9M4I4=}U+KkoUimY|sLcBkJzJx|V$Q?LDL~;;omj|7O4Pmt# zT3Wi5G~KtSQ=_>Jk6{xr1P79`v51Q^R_t$|S56SyYvXz&9d;&7tFfu+6e4}Fzeg~W z@a!2A640J3H=CytCv+Pj{`Bcn@f8S&7!q{io;p1*#JmD>Q6Ef9cvm8f0nSOiaU*40VKv|Z*x3htV zj8zkflSOgqQ?#_S+^zJ+2-^#mjMy!QLzU5!Z`^naL&ANzma;g%s!EcCj_v}S0GWpm z^B3$fh&dwV-=?P0x{D!1gKyrvS>1+6q$VIF6ePaCDRn`o@CHIG{BW*q_IrW#u>XD; zy`Y^mLJTJpBA&{ksFasn*a}R-Nd)l2*r&-Zi@Z1YzQ1EReOlT)PfOQLPcI%$3VEye zL21@~STQu^j6q0qouuV84uDwEMPJ}`u>Z#7>r3oGPE4+29y{jHb@s;1`ODTrbnvoSHqAsFakIlk_H3WEGOz9olzY(P;^IPN z_SIYKg>x-(u)9*+x}^dK^4-uZoTgDYNyQ0C%xIWSmJ4IKe3=}U|C*B0#R9vV9FfIE znjx}2B~FVo@7UpFTP_Jk%AbLteDB6E#KAHBgKbI{R#p-knv-sBZXa|@x<~9q&0+Hb zu%QxiNXyEEWkGkMot>S{TrW@Az7IBmB-}Hb^wjo4zP`r?J6i`!oNOms=m(1IPZSju!Cny# zWfUjORL5gJ4k`GF=ic^JoTOPNxWw1jm+Aa@1eb)A5kS!Hvb65~Xc%MEnSLA3Yi~^hivNZs>y{l=3()jo4B0M%MMgndV*G+SxIJW7Y8On_qZ%c-G#R)|(mX7m-SR zuf3EVK`}Uk9wTF8k2AFkSeThH=!G04!p|x>tn?qe?Xo~o-UqF`laROC%r6yhSoCDw zZ`<;IA!Ai{p-%g=ImyF?fk2ppnwpwQ2(Tj_j1G{AE&*_8UW7oYzp*dAwY^Q_xGUs1 zlPDL)5H>%#un-D6X*4BD?{R7>8)O&LPM4;q-*hTijauB6$7GN*`p25WBP0FZykRjm zHN6XKGog1qJU*Tfi5Bw^g01hH8t-~i>D8sHt?{BfR=wN~bG_{s5+1$vZ!AYAaq0K( zD(i|p(@sw!&S&St;^GFS`fJ506sX-oz4rZ2BCvV_p1T5}bb^lo92*Rmd-N7No{x81 z5Tp~ZNgSXGHfb_Dm!if2dnich^_5Xb2#1K%W3n|NOf%PXG=zVs5@vQ}VS%tnC)8=k zrGA72A2CU9uix65OmMtD0{g%u{b!T0)rY#?3NLZ*7hGl#X}Py&!u)GZvxcAZOkNaS zfbjaYth1x9j~ZeT7E-!BlQH4R!(PTx35ntQ_3OQ5Zu|hH{Q*oGLd-_<&99a?%a^TJ zJF1NJ3CfnL@a_~mpdT9>Bc`LHPjSq|)O1F@`?XZ2R^F<5 zR+Q^Un&Suz7fx3)Y_iRt;VRr-`|i!Lf~0bxbS~x-8Z>4%Z{CdA@I2Ua0uUsZoz9yue(1Rp5x%) zRPwco_+a5t7>ratDkeXu`@OvUCA(t(WTtwC#^3?Kw&IP9s&bE=kDhz3r8^5Hy#TSR zs;W@L(3!Tp;dPySOOR$;m^T$rCno#WoBcG^kYdN#s@hsCnvlB0_OOl&QazUmaxw}E z7Rcm`9;+m#&C!PKU)39hY+K4{TsH=tMt}bFh5W&K@nUB44us>XjuZuq2z)6_cKg&% zDq>s5k+uSB{oLBFLR%wa6O&QM09|>5 z?S|i2!LVobBg_*H3Awxuv)u#$L#u>Cs1$;!&MC3 zvgPIDL(esuUZcgm#JaQf!*b19@9ytzx$ecr#y*RTH0k_A015h5$;0_Jc#jKOpK$~Q z1x<#y%B=kWZUCt8h0P=C@H6W(BQnS?an4Wjk+(O3!+b+c&G?s!#Ldd4avF<)LY}*K z?=Cf+&xVbszewnssvOs$%YlUeAVr}XO#QQ%m_Sb5;*okruNo+)xD6^1c>Qlywgl9? z#{pB;S3bhzF|0a{R!(a(UFO{%Vur?28yc=bwx;vgS@#PIBkK76{gXu($0hSNq*ZLk zs;FMS(1zJ{Vz$tACHunW(SJUrsQJ zB>#)r`IW7$D%tvgKv2kd*|NJ5HU5E&X#YEJ>{K; zL`}tQfFNjPQ|PwA39;w6u(0szOcx$xraFH{&w%~C9ae5`Vu|agAWoe>s}dg!7gfTc z-rHVt`?-a#PdJ<&2-58US3g_zonn;>m4;v1uKZG>6SOe6Yue#-zkV zreJD5Yzz#H1}I1Ra?Na~+L#9^Cm_2?W~wI})rT&vu1ep%%cB0_&LcQRuXcr50&_+p zkyR?M-DQ6&KGR@xsGM)Glfj9Rf!L^eLBCw*=j7z&rtSaL$0|sK!%Ck5_cGAy$sI&;?f~!f#)oF9dupP>)(TNH4 zHxOn|N%<3!!$aj_>_wbiegGzy24=v|$H(W!d$l+E6`o@dZ^>7&H$^pluN}TpimyWpVw4VmFbgiuuB7= z{<_P+u*ScXwvrU9uqe-!)L&$uiZF@oZyJ?(D2Q7d7$mY^xIiX}^E^D96%fZ+C>K{l zRb6ohAR_3V#WwPk3;Ug>u*mRGkJ)zuI_r`A{ZR)z{0RWyaXjXtnEJM@L7^ z=JL2-K|w*9X6`$H8*d=YqS>oh47MP7oUl_jeFiWbcYl1o2iW`TNUOxE3NLf;oo|4t zrPclI|IOa~UzAVm?O`>!jIOcnOl=!mTb|jA@__+q7C6i{i$kJNokZ>=Ua)UyZIv@L zOlquGWhYa2DY=`Wyk78N@G%T6rJ9L_g;ck~lb(R)Qd)%3z1X*?b zkDF4)idc5yDa7Wp5zIFNjR7hJ8^dJSYUcCP0lOylfQQt8M1Ekkk8Js_~a_o zwkG?nDN|}YqQn(%gsgcI&nWgXP10q3?%TmAe|7pQ9>ztE_<5zio(_R^C6w{H11#9{ z)8+iLk$J6e1li>c4!* zmz@U=?Zt7z@x$58LO;Ory0+=?fjbr7BK9)LQAX|hU zh;}==P0JB4chR^_!n9+*JE(f|kbjFjyn}j#)w?0sDBNIg4bLr%{K4jP)GdHv^3eT|7*e&^%Lt2 z-C0=PSY#Tv4EdfIJ$!gT`g!%kdDbFb3~B8`U$BerXcA&6>>BmVS`SA-TYof%tj2B8 zOVL`l*7Gi*Y~_pNA%S?SmkyuvW+v#*#55#bHoRQ^G6P+abpFG&c>e9K$>B`+-8(;% z_X{tj3FSPWpN{stML$cAUog}F*ETR6Ev;e&fB9N>{n1R^^o$ohTC#}qZnGh=K*8Zx z9S-Kp>g$<1)*j7&Pq9)_%TN%kW10RfxazOFeTJpcUQu#9S|~-YnYgvHM>k5Nfx24K zpO7BV@i8JIB77=t1aO(F2N0$wV-(*Nlx_Wb?dk!w;u8qNC`ZD;zz}`qK26Zmry)Up zM{kSGYpz(x6Z&a~LHHs5czu{0-0y~tPVmOC7bBq08b3VBk)J=`&hnc!Q=v7ap0JS6 zzK3!MHkvlIGV9*oO10TpzhAn)Jquyw?61}YYnuy4uYOxJxWal^tgHvPTqtQJ+}%Zl zoEAP-fxY8ynp}RHITu3!O_AZ{mUo5qfKB*bpZJjQcCf|l$%?<9`(S6 z0-;L4rV`(2$te8r!@@8WFS2E>Yi(t2PCCU7xRCd=Y(5Z;af`uWmYnvnQS3t`Qf^M) z4^vnl9UVoXHJWMxA&KNzL)nKg2?|mpfa9LOeEF^?b=A>jWtXTL-8pKwzQn+2)B_SH zp{2#s*B`E52!HkrLDDp`84xA`0V*I~q+DH#vs!`PO1k-;n3&kW=EC8YzfOEstW}Sy zXc6)P@Mb=c0??GqU%xOjbMnNA6X-}$q88{bsH;Mt9wUd!OA>C_4uvry0p$&3LGKKS55k>4KH*4A{u zCw!`32IM|e=B5{I8P;9bKci&1Z z89g#~EJFT@ZDlncMFW__i;mT6#%IXZwT^#otxk(67#Vyk(KFdijwKedTD8R(r>e#- zRq~*Z>R?oTV(vQm6M6DDmO5mo)2duC6~>fkeB zw{+(TL~(P&QKbFci9FG#HsUIwHGImwORAzeD)|LApN&suLVQz%9F;Ef6Bu1-5C#ma zt-}Dq?QV{Ty(GNO>ltD%TS4OV(Rf2f+QS9+)!mW3q>$$c8oyJYC$QD;NYP52#oXU> zO;|j-Fb;WoQY7!C> z0k`!F$1pKTPMvxTe6oW7S=<#P&g9AS)aIQcj3L^;jGA6pUaNRt33o-1NiPS zE)-$wAGmLBPa6H`$SB-=%6dv!2ot$fTluPQjpvt-w)5y(iFsQgBKGZM+eED*o+s}c zxm>4CgYBS;6FWNCClE@M51P5yp`oFhbGfY-=wF?lFpb(xog90Ifsm0mA=Ec+Ej!8Fx^<2z z9COm^!u55^R>85B`&hrJ>$O=JH(cY={QcbZHU_deW_0;U zdH9otZ&9Oj>0dryReH7;rCT(~niIjfcOV(wy|JvRR%W+TO8oGIFlT(V7uVhs!q&m+ zU}jHt&KzeC>9g!{x%?)%>J%ZnQ1bxs0^z&Uasy(xg@r}TJ{A@h%BuD^xT}{ABN|># zmBC#aj`ttrUEVa9Cyy0NtMYz#pZlYW#6Y2TzJ?j9U7s>t*!aJ^C;@dz}zoKt)~dNN8W z`2+jXT`{*a>%xM9s(|9SNdH7hYuVESePDfmxN1+vwZ*cBx{J(0oFtk~^9CB2HV?ZD zt{EtFTHeXIJ3N?ceA~17-Bz&&nLI|G3Py*uU2k}L)Yy0A=g&ue7ci-aWJC=tqs=Y_ob$n^*VumvoGOHjzZmn|0T}_sF`lsl?k! z@KxXYr&ftEgZSuMKHkO7%I~5Ivg)t$8>N&|DEK+gwR5mjA~$r7ztz>K%)P2wRL`2@ z>r2`~)t?!o*B?>aV=LOnpr82xFEfA6Yl@c|iD}a=k?fX>E_|cM-KP;OnIr+Voek7Y zD0V=AgtvwN_VxFVn$A|^NK)g-5RmWBAKSwg$SI@vWmSrQ!YuOv!%(9PW{Om!m(@;% zgB(nlO{Q*ejWgSacwI)!`u+DM6vK@&Ps_6hYbO~qVA63I2u?14vminwQYm>a{w@k= zvKQ|m)Ci|r{qcL{XW@p%^^#)4#>msl^*YZYRWTiB$ww!a9LR>E#_OxY^qS?mXaN&l z1x-%&&K;^B1=e9GyQc8+!qo>4I8k18y6v>##ycUz`<~CMnLHIucLGuUMg$osd|OkO z=2{qa?}W;tB!1kpCvBg+X4V+_X3x&e9j8z<52$h%d?o(e-^o-R(-t3v9LrR zR?N*=6&4qdWsC17+IA3n&48qpm#0xmotEYWy*^9{XXi~R|9JqD%`#2Zn-~1iqCh7v4Mp`FuitMJOr|&; zLfpf0p~3Wj0ClDb<5mFJJ{%jM1Zhxwlqg;AZFY(X`@PcW=(ESK&!>wX-|4{<@23Bu& z>+~IgC>%sGI=>?C5D|f4;1Aly=N-Bl23Yu^?PWkpBz+hDfPH44VE!&<@D%7uMiC;AZJ;8I zb~l%yioOCG2akCh)7zAk>9wMV^EBJ*^LTP{a-hr`K$XnS$$5o?;_yMfFMKcZ8S*W- z1HVuWaB3N}lo8x@}GU<2krk^~%e8MuTez^gG|x}>&IE}MK6NM2Q_ zSZ}2&qeNUlXlNbCgaFbHi|$C219r_$PEH1Fh_XTs3j@@enwo%9F;Qx4z`hj&0rd#S z%gbwbshY?cWFFg*N(`Ms8w`N+D2@Fi|Nc{#m0yP2tJA<069PSQ_0z}0t-zg`e&BY- z3#f}B^&2+~+O~3Yau8%;VFB@mCy|kpC!rZf?4s6ZiRvc=B$SjV5ReO{fVvo+o_;?| z3b`7#eyq6H&`4{`Ar4|{{)pjSP{6OFtLvz(rq*fHn)xq;O^%?f;z_?_AeOs&h>D6n zfAuPTcBNHXf7^4~?a9#=Aj#6NAdHkxam!TWU@U1xr?lU?Vic5|NNTO3qhhGp@fJN? z5;e!jCL%%yl1tt4czt`~RZQIytxQ=%LuQ~T*V1xsG0;AWi>Y{T>#+t$o)ngQ( zohJB2Q_sKZAjt$D2NhV(%IX3rnrlPWJz4Y?-5&z0{fTCOz@D&~|8e>Fi4&N}V;>*e zg#kejyJolPM4UnRIte@&cKu;R_x4Lo6NBu6u;;Eb$PESnlYszf|Msb*xVY-e7mTc| zEUL>EWI(~;J2^R}sd1F~52rEL6|=-=_=?bU{0J!1`1 zuk*Es3w@)@e!UC#pUlORlLJ(#&HL(2iN*)R2m3uEm?%+6PWS{ypL5OSa{1LpPf!-I z=@rk0Urlb0K1BqlIwt07qh3ar`a?PhZIP`({$omp9kCuDB7?Ez8#x}}{*>pxxy#!# zmM_x~{QCCVAF8ctpfEwc!$z84UB;umV#V#|4WBkutyL+@P!3jJM_Knb$;qD#z8qsG zJE`jioGZ%b=VHsjW$*Ze`mBdasbLdW136}BW|nG6gpXeXW`hUaBT#%d%b7m;CPXc2 z<^?S1rF$K36-(4JWK>n3Yd(hA;1$NzH?wvyVT9s`lubF}-odZe)=M>{D$!@y(O)wr zpWgvqlogaXe(ND$^^98J<)6NNd)f+~3EMO)mQqy}bC?lD0|yf?&?94o98ZFN(36Miry$~0B4SPtSP7cT79*&- z<&A;Kapnfhbvl*Li#>3na0uc9H6&jrxFd&$hnF!Y07K@8^5rVaSWx9B-YB_J8myNX_4@VGr6n5(=9P_&xZoe@=!ajWpTXs7gZ)tf%1=N@NG(X60E9ll z-f4~#rqt8Z>n(M$H>tS>(=3F`=9cWg>@@$w52ggQMNkRaodzY*7d#WFTSzI>|z z^Q_9~P?=y`1P9}TB?N;#CIP%W2qFS57SQ?%U6O%~;HAVBAM2hnUYwlt2bvR+0GG{D zmxewD`}<7=#$YfFs0~I8U2To{rbQh$2clS@zULMevNYtjXgJXn3D&pzx7Wi_gHrAZ z7@qVy9@iGnjh4b=VAHuWYjfV!mbZVa$9@8^BGZsrv zF;%OT?@e@*|=X5Nb0=Sr2#gB;Me@t#}KiDUHe!OmyW+TiLIqW&T#&HT1iRC zk&zK^@TpKk)q!{e$ZAdyAD+WF1)B*gylhl#cS#DZ)?QhD@W4T?Xr@L(`YRk^_QFZY=x#LU{j zq8Ohwb*s6rqeF*AWJdwG|H=y+6KjVYA_9Ugw~M}&^Zkb>8iMgxt4HYck#d#sJv#02{66Aah&Z=yPctKQVTzqHZ|@%CWo%3VgiqI`~;Mp93 zY0t0g@7G>*l$JjJt2xGK)fOhtudVF{*vrO1mv%nb+d##^n%degEiHsVfdZS`)}IRV zY2)N12TZ8yB=1Z|iJa(sDC{61z8)pVKj_Ue+x)h;aRc#S1%TZU5UCSEU=na$WiJL_ z&awn!RhscIoX+~QyAT+|kHNl5Co`p~(|E7u+Bl>G=1Y{}J2`t05K7;s!C>bK`v=X zGop>0^T(&YX}S-opn*nht!&xe&hA-k><72F7cU-zTcoh0qqkv^Aap_WADiY_>C)s@gwj@>JiP6htmT^hh|wj*p^-&^0;IO*$$Mt5V#LW4`xK{?{_Gg9*aqzkYM{ zG{?g~ShSBcupji(v zZ=Dbrj`WqMhf)is#-XZrB_`jP&&12J_U}TysduxM!8v`U>GR@HA63Rn@vSh5M-5wS z?fdW5nqTkXk12O$7c&Jaa=YuCd{W^klRfVm#JazB_t}Eu)5;6JWggVuw9TY4B1i3B z@QH0|FrCDkOBc}Mr3KvxEr>qZjH1LL8t8h}3C_=f_*2 zq^l1cCs^GkpmJz`l`YL2SYp?X%U6GVM$hsRFC5t?)(agOGdP+5DR$KhCfXl#T_E?ug#dsfkg^ zP#4%K4$0jByzuVY?&Cf0pO zAV->KwTQdtrW+YW)A9~iR)F4^zxb{B(HXq}ibs6{IX$FL#lqx77k3Juj|C`w-L)At z<5%!kQe#$MyPTJph=48GmG*YlNGSj4oQ|*537Y92b-_DWfs?Z%CtBLWBjtrstJrdP zc`S99)LSgETemkp*?iX&5TKA691-(=;j*{aU&=lEP2x0LF_VSIu~M3sx?d%`lO3pr z0l#V9&H<7V&5sXO*4OhLu3gDCTO^C!QVj_%Aw;|rN3?OQUWevo{Ls3>%|aS0s7cF4 zE*dpMTeuZVo0+TK3uEWXe{<~h^e-C@i`}qjZjQ(Ea+;q5lYoKr}ARg0N`-%;3 z2zRw<$_I|V)@U9~pbLuUp>BFf*!a%H`RAK?(tEuJaoJfHKi(IbahVvIjT8Q8dBESB zcR-6&?vSJ|c`-8P-FPeguCYvmls{XjDr3~cc;H-2NyWpy>)EYqUzO9evnx-HlEgHp zbC%sY%tbE=rFi2P9kDcH);E{^U5oRxE3A^Db}pQbA8+;ESgIlj5*nh;r@JVgBQt|V|*es#dr=2dCQ!RPGtVf@4EK~ML@~{i?%uw4ws&rfZ zBqy8T`0vG*sdjO40{4}r_Mhr63F8#Mqz-AyDk~Gd2oHD6zIF5FGmy-nD!*ja+xGam zYCqfekHNe{GmLi!JIB->$TVy#JX$f+<+cD_c5M4DrjIbi36lRq!HZD!KuC2?Z%*2~aIpfEsBpt0n9F zIKCv-m-bosWvDlJ7cB8?1z2fdr9euIv6=_SBBWjqi1B=>^w3VaOW9~Oii-0s(Mq4T)BSTFu4|*h0 z`ThH?Z0KIOwV?<9DPTm3M)&xLCE0m0A} zw3;7u+AU9u0J)~1@ZC}c{#BL=0&IMI)`lk-TX=bS9pDy6jF(TK{kmyzZBGxSMIMbm z5o33r2}sYY)8B#L!A5{OVuh6gwX#?Ytis@eM7>}$?uWVUUfP)Ol;}d8?PBQ)AzH0~ zIhCxuyd3p}m6nz|^o;H7?4V5%sQlFZLDL6pr@+t~H9TXM&8#_bScY-b0?1f>K*#U$ z+Zgd07FYmpyA06dsQ~cbMpt~%dMcB6EiTNKFiq$>AA4*$wr2UOkmo~ ziP4B5fvkb?M&p3sU}buZER=ko|o{o$WGm<)dKO=t4=9Ma5}Y)~6YfEC4|K?WOx zbaL(+#r4R;{mFJNFX_gA&E-B&%l-j80{=!%&uorNGaZ$O``U_@s|?DR zKPH~HkB&@K%IA?7TwHC-vc~wogknHy*D;TfL|kAaL-*@B!GAbyF8$@S!BV6NnzTSE z{y)Z=OE~u%O`G=B4;jM0?jL&im_K0Vug~H}M<2fIA*lO9vHt;Pw5eUkxJR{IGS|Q` z^EWPm)&5H{uln~ueSEE>z8>v-Uy3SUww@T!(vRi?$56|$<)6-o0t*uQy(C3KGrJ$-qPj{zqF~GloHi95% zUy5%O)ji$Ag2(9_@EPD_H zjxNgNLmlPd0j}~#;KXAA@pUdC4m}hNI7352Xdl9TRaI4@c}g-e->E6{x&8v842^7A zXqQ7NA*f)O|3iE4KvNZT4s^}&9O7;`R@Iw5+4@kac3eIm+2sFlaj>LdVHkYsSHb?_ z?(U8fL0`UnNgA_NLyk6YCbtLXVVL^;V$TQdEQ1;XN+l`qV1E2a49#P%9^m<75URK4 zIGjt4XW`*K3Q?R%sAc#c1ox1NynGeBCAhS$*6ojma}@_UJ1{)d(6tGQgiM9!-pKg4 z52{zNupE2%@F7YnLJH%7<}kFN0kHrw7Ru@YVPmx(xrrRc0pGThIGVMSbAHeNW+E4c z%ASH>cMOPyS|agXZ}{(H2nClOK9B@geXx@NcL7&%C(q)x-?$suQ7B0AyBAqzyW`hMK0x^XD1DAN`N`!R_f-g>FlTF4db|fw$RqI;=HoU;Vbeea(37v)@sc zefpweF+J_oQ&r;*QO6)v<8p)aXt)yA2LlP!)iE5s1}jPib(c>@hGhz!cG3;#aTqtA z(F+etQO^L|W;5~at{1rH<9$&(yW=c{j*brWkzSw=Jq>;%RL5Z9K#U~_$RY`uAYXtrVB~pl0yK-il^f;rE;oSi|y^yyiy>9$;b3-?eBje2h z8#IVyD0cj+I*KI!>7`9(kCcZ5PPH4s#$s7jVV!eZy-WgRvH*rKw9@#$`fbC%0I`8~ zJbr;myn6NO=5jsbMfy|EHBlEdIDXM_{%OOVeiqOS5d}Zz|Mq6c8t422^%MG~-CXJr z=Dh~HRmfq=oBX^ygAnv*fQ2^%7%tkyvWblyN*Ej)ysU6eS)|MhT7_4$%j8(!Mp)JMy5)GV~nLM|nVs1y33TWU%x6Tc??ow`$t15JXu*|hSJqg{QSGM zC!xuS7>E(niVykq2>=!ae;MN(aBIAQV`K88x~htpo?dqigCvF;Jsi(N#$*3Kmg>Kn zYZWg+hg_Li0`Se`02Y)Z>umvCLNhAx954Ij&W0O;_=wGD5B-KPj?C+}x<{?l(9U$0 z-ami?8n3PXG(Dqz&o|iHfC~ms-y1MBceL)!7YyGWDs{nLyL|d8DM?JwMjhL0aBgu~ zfoTi4)!q^(E;LfVx@>tDXb+QZ3JMCzq#Mx_rEvUB1qn%>7lEMo8v0Uz+Zu&%0Zb1n z9d0gq9pH^DCT)a?Z3E=f1H-l;G6HxD?Oz`K^$Qzd_v+#>qehlaJN>QXc7xwP8*S|E zrGN@qUMN`{`y#9?E)cAL$RC^A|KrAwd_jAf^7xPGKAeF z-2gf&LBtycR=BcK!hPi%zw2Zlj2*^}4W2f@;!0e~Qc7UzgO+L^=rRSCi5ohoK(t8eB7p$dt%l3@ zo={h?<^=#F9X4qr52SB(>0)F&13WgnDRC^FA%s*Lf4p(yU?~cQC6j@ygu&5$$XR$vK^cmLh!zYgEGaQU;=Mbs7n zi6FwI!oe8y;i(@Wb0n&9*uog?X^yp8~=1PN-{>tMqR?X^Z*&Pvz1wZlqf%VE=@T}QOmrH`QWo(kPU z6*>eE8pPC(ZW|AFVb{R-4m^7L6c3dc(3Wv0V>UFxv7lf500$e~ z0!%_eKhj$Jp@`Qhc}RfHEgS`35aL7~J|)5T5Wrbmf;~0@qe7cQ^*pys(z+~=O0c=1 zE*7+5F-&~F62yX!w&SuerEIdbQinlm%8QPk96H03{mR4lb}XoXdp*@ zDX8fM3R{!y%lA5t!w6BovFrL=Ajkz%x?23uWA;J6f&uL-2Ogyz`jw^SP`}XsuP+_>ubK6KeN)K+(FYlxktGA|B>2)5_AS2YMp7C?1r(7I1nCkKP&yO^2>}J9Ls}XnL`0-Zq@@%@Qc^-XRa&G= zy6;>YzwDT?Y+oQwL{5yN9S-h7LBC)()1BjLtYcw6lL?{p1R_5Vs)L8FL2* z8+#ER9;^R+fZN*6jAtz==?)A+U~}V+JqmTo5cv-yOEU8j3U#yfrku2DE_?qv&9$BE|1?eSN#3jPmlXi%}-97vfB2`g7&guLis=K+SL2*m3%ngYcqDi zUiupj&L9;po0L>(?94VE&$zxU8~6zc31^~O3XPjdeVLD&!Wdq(m;{A~U!AqRbtjON zsVh|$&zFhk(j}t$021HKOb!!%I*Ef-Szo3fR1ULU7-0-To~9LdKR#yV;>w%E>gjEd zy}}yR66$p1i+4(fJ!)e7i!c4cV1YqI00~2yVl=0XlN0WPofZCAZg#iJ=h@f{e|?S2 zx?geC($X?T^+MOXTMS%xKj23&i|2IN2L=R89_+5a5q0JsfDuk#zNu(~^wyx@LN;k;t>yFE52B0@;&!}RuCX7X7P5&D&?ZDwQy=h3H` zGMzEW$r0C|pPuli(f5`~^)4y7LNEB(kNlkc_@C*vd8g(GmS%X0$fP9w)U`JuKY!li z(k(>g-~H$l6-5cRsaoUd0ne120!Qzi!aL%WCn(>^0+u zi>M^$nu9+?M=Qrir|ilZSE~29>4lzz9vrwcin~%#a@=n4C!*n8#9Qc2R|tCkydH)i zCnr~9omt)7Y)n^(P|Z+`CcJi3qI>5KD+dRjsPl4zo^@45krgaOVNsFvlP6Eg!#%c_ z@3+SZ5`BE!FSGvp+sDzBvN6v~gS)N8UdNsvo{Z36F>U9awQcJuvo<)`TPUFAeSiu$ z#S-r0gL$voosN%>&t-Qyrn}Hk7InSFb0F^yJ`s_Ij!)C87cWpmL{oh%+bd%VG2HiU z=KC&I9_=mA3fr7vWMq8t;)VCOc%i9c%Qwu(d3v4c7nq3(c#3x!t=xZ?fSMhrK-zfVvNDT!8_A22Aqor z#|P`DP@1zmMzPAc3=HvvqDLiPr|mvG>cx$}YQ-73DD>oK(DF#dR3M9I)+=2*JG%#F zW|?bBePr;%KyPo9FH=EbAzVABPZ)+$X=rG8u>7-pXJ;xxu+(F-U#HWNnkS|$%xM|c zEa93x?vGL{*|BO5!P0L@;tU#@w*}Qr*zV}+zS@bca$aHfepz#gc=x_`w&vH)PNDe~ zq8{HA{xEt$MHE?cI8$$qhqUywpwLjNj~0Wc2L=Y}1_yPNWBITD`u+RyhxN@(>X8a( z8ijC1^2>UqRCeX}c6N7z;iEY}+TZZWqPle5Jv{u$Wc&gGa*hu_O?ohI|FEtJzH0Ry zpM!(L(At`3ez1V&opNm2sORCHBZgGoof3KD8jt<0U>*IZ*N29O3E*?xC1xtNYm<%Y zoz9!{TIBTfoN%K3WKzit4GqtVitfiI>zJEo6_%CJba!{laK}9NIzH5?T51TU#Pr^o z2xP%V@p&D&ZY78QpOIX$!jcloD!1*^+sh-p!b$4cRB(LA^!4@Y1_rbt-bvs4WRu#!r?kGmQbU9? z+F6}YvD*G+wk>QWSs;0QpyB7|7nGxwOUS^$pq8tBna^eQLD*H;xD-6qJ866CmOnog z>B0!EZfo1~wa>6*g3>ydT8^9Pu9)JpDtgBFlbsb3(os&9xDT;F0Z!6$h)hAjlpL>j z#Brqj0t25z5V?(wjg5cl(xoDgeW!ehbFN2)#aR{PD4*|+*YHFVx<|tqR-*;c-<0D6Y7eLAs($%G!r(Z=6n+2bkST0>YtSeK6 z1(wcuai|E16`vg!aPjc)5+`eHCNTBA4jl!ozEed;M#B2tP*!dzGHy=#JT_Y8*8R~! zr|~Pv`x;FYj)}7e4rc`Ki1-+ZfAxx-BMMEnR+gxP&7w zFR##k=62=r(Y|W7CjO~YIxHNJz+?l6rD1J&AGT7#+DyUW7^-p;!X;(Yoi8^wGFtr| zZ=GgPD}{`i~q<&W*)k zN`(k!WOBw=RwCfE8-MY^`D8b(7)(&RzrE5tkgo?fh#@3YMj^RxA`^Nz*tE`h?wl-& ztjcw>C&$Cxy%Kc>FvPne&pJN>Oz)u@uNv3;YX*~nr&zQLAnhl?jx;*hS(|r^&~c3D zEiE=EeDDl)<_K^B{}gwAvGr(Wxs9_k%_(Lv)dEqst-M0W6L6fK1h13O@ykuUv94ST z$byxQopC?#82a&ph}F+!{hQGB%-e|&Ftp+_Gc(@^T4-k{L*jj}${Ecz8hDSJ29CnK zqZdqEcGYPaDlIWoLkRUH#gQ!&!4D90Fr;9q6z)|x-4YfS4uWGMxh_t)R+E&_eEHrd zRTSBn$9AIYeMq4AgoG5Nq@-uBT+ukJM&bL*sHMeS4pYofuMs+R>J;CDT2zt4oVqP! zcnYhT&g25MZ<5>`9GMNDI}$~ofB$HaYXG-Lq@bYCouhSWZMHj|!j{UdviKMRyj(P= zR>SH`p$(tNCZGiGh-vGmEPtiQ#w_N7f;kW{ z??ORr8rVw!WCl=mAjb-@uzWaU@Yk<5Ad=u+y?PbGOvb>BYY#+`@wvHR*z#F}TG{G2 zEbglq#l^)ovt6uVTab;lbVgLp0fdJ2hSkR7=H?#y@QAXmz8*n2khvd;n_62~$Te!hMGuoKe+yMx?Xj<_s~faE=4D`91G&q>(fz*HfKvLm8LfkLT1rY^A0Hp} zh^fWJ(8Wc|hNh<1qOUV|kM>t4;NZatnuJN2pYGQ&z(Fwz+eoFu6D*O4jQNEIwp0@n z`eUM2S0`lizmHWurG(|Azha0{+uKXo(a|w)pxpQv5aJ{)JmL;qzKzcI=HcF^EZj6N zq#PF)mlTM$Ly$5wD7|bGU>z?MeH$A?Lr5p5(xyF*vFFd96QO1|^pUgzyVY{I7zeVn zRNL#zO75>4H94tIbLo1!Zq7?{$JBrOM$(_7RbOsD(^sSWQLW0=F_E3u0}ix}qvLhh z38#7ViJhID^S3>E0E(&==vPq?bdHS~R2|xSdV1bv(c_LWp6|;>(%$lD)$?2NS5qN6 z%`fX(F^W17fBEtSKv5u|e@NKxl2&yN=s4KeFub(~yC9M>S=St1-P>Av&ZhKw)**4P zq}re{xj$-*Mn^}-@keI&rdgH1cX$1zA7u)F9{DT=xFD9NLP@1tVoLJo&!4{Lr^koe zYEUXTEPbaIeB4(HxTnxXoT$4I{1a%xgtD_vV!X!TSX0Z** zpz)=pu$rSirOd+*hiuvd!Wm>~KW8B1&=*))S=sKa8ZM4h(5zIhlfvl_gdH{kN8wVp zHp^aRj1lZ-kG+jAu)zQzZ1Ly1rp$icw4G{7yBmnBKRO*QRVM5B{_beYBvtog|jsTOF|DDSm4$BWU_ivVUv+WsAvBsTITI zhKAC7jf2euqtM9>ISkgVL?%du9FX;am+Z2$s?Z30BNp`xOrlE9BmLldK3VVsRtgNTmRve+|$A0xIwc2&8RnY=S!*UN~QC>*#2LkV8&J<_&e^gVD;T zJL{d2Z60C<1_t-4TtCW9a#hcTvDWZNb(2X0s8v%{^@gm6bzy&fxZIutHq0t~-WY1( z*@1ipA75XkgUJGoOj4BjCSFlk7>SXQk!pdyxWilz4n)(gb*4j=HM8h9Z?cMxzWCzZ z-Q?bcWR6-LaUP3aIQZ_V-*~s|Nf;cQ$zLr|LxqM|-1j~q9-R_ZYU|q!qSp4GTt+~n6D7gjumyN;l9zW0EeWx(6IhRT-;qK^3*Ay z3dc^#VxYeeN4Nh8nN3tzm7B9~qgLi^CKD5rahTY7$Cj2BHq(R5jEv}^vYp@j5zb5! z9c^tya0|__F$G`F7+>`u=g}Pa6+{uc2~!y?aeUsqD$fieLsp%hJcezIxOiL=s8_ow@JYg>4#mY({JE0{qzl^rcwE z9;sm0RbwQG{K(U-tKA-w*+BZ zOpC$y*H=cXkaEbkvA@R4OF2$}08k9B#LhU@uV23&?Eaa~GN`F;!u|+JjZwm#7Ru4U zf&w0-RDRg@Iu-D(%XG9(tJo2+EC_(d#=$Y1?Mj_jT7epp*Z#M%Z&d^bRKw#@DiTjk zD}dWz0=z>j=EAG*x%)6d(u)}h-moBo-}~X_AxG#I8R0N8F+uSfp`CwsPK>l1Xb3L7 zQevp1R1F9}nSP^3Xd^fR^_5T89YmN_1?DUPg9GbOpRJLp3X5v_qm%@;L_I{vHt{=) zunY+2@Y!i8q}1w1U4K8d^YTw5yx9Wt0k~E*F#!_`3j+mc^g6^WwG2gS1lh8(vd+)j z!GZeP+FAz@etda3{MRp&&2lP293;mW)(51*93VsAyLZoKYw->;WAG?!llJ!ZvX+)y z`cJ2+vGMSxV2QF|82ISYjer;o|Lv-Z<99yJZf~wpb$O5Ts%}EGdkajO^ zEe;!Nm;HLzOuHh3>b0G2rRHQY*u{T!&QM@RChQ;E5cBpfj+q*bWX35QOL# z5z(n(owNRygD2|ZLXRkG$dlK-pKOhhFVYK`pQ+wouAqp)hJ>fGG2gEQwGxqqg~i0u z(q&v?+B5F~t4uPg=qHsrujqFJiHB6%RD}L8cM7pW{ZIecB~L27Q>=KqU>jlJs`I*- zyNW^5vvLoY)9U*NayXY6`uy9yDw5gO_(UN=ic5 z0_0kgJsC=AP(m5?WvSiuaJqKw+9ZT|8iWl3uwVE6`&~${Dxu8cch9r4=lqCvnoESz zYpyr5(HjFx4(dsNs4yS~O~MYN;ZRA^WHE!gKMUl_r-}+>{?$rMZ}9 z%5avUx<9!)Y?d4hhnt}M9ye@mxd#tYpmKQ)fK#=s-pe{i_O~><-!s#4GIDVRh$j=1 zlRnq%e~amqRj~2nh7VIlwp?1u4sKjG+X>P+i~O4o3P+-}^z{C+XbIPi3$W?@AYejm z*EBRiPR9h?b8ICb^19YmLfEIWux_qBqrk3(GSPS2KQlgIqyPSKLQ2POys1*msDpq6 zM3Z@!UOEN2+BBKW_(Xl+>ekl4-p!!t$oTl@z?D`-7+YE0pS&3HuJ&!zA@YT(DdR=n zpr9KnW!7Wxl!BbUhRVy!SJxe-TE!1pP`?4ILoE`2uTE&r#K2vtJ3iAwdZLz`fM3PB z&)R5_EQnK?mC%N&qSfQMxz(?knRC-g6hbQfK6OP0{DQBq@os0j&m1XDyaU3!_qTz zujsZ9L7w!yG!6!JYx2_O@ZiwU_AP{a*9AU4@_bf`j|9`&-jdZlgseYLpvVeeC0*NF zw6I)kLX-G;K_DGj$Kba zyhV)&0yllsJBN3WG5=l!Lp<5l?2|4hL-UDha54-mF`^Jqo2bgX8$5a!GO_~{hiP~; zdIUwP%X^E~If%?~gW{E|)6_yqK~WJyG9oP$A&-6Yh26tWL{@m2LcyQq$6T_uIRp3kHIz=YcX;nh;ro~%3 zPUZia56u_S846*!K69_PPM%4fxx`FJ0xf=^2S_=_7DvyE_+UuW;-(83DSFCgpZ=Ym zjG3ynYsme~UTgk)EgyfAf|8jxCko2RAXNMpHeHnSCHCnV{+UPuS4H%=-RmKLXGT{l zquJ7(+6-9*@iFuh%b7ku`6c1rw=5kx?pKOv#pPwn@hwN?vMWCw&LK;cUx=Q#uH(_2 zcX}*W&>P~$?$dvs=>6g?Av^e358=uB99riXf8OLfxe>*$DLpeHZj_$$iE~G>GO$v2 z4Nva5r-Whbm32=2$yyw1tSAc&$3OW6pLk1+s6Q{U*-Tt{J_m(_$UwaX=MEpLr;X(i z1_A;CdMhBeP_fGIibA2BPXCs#SBAhk;F!MvG6$^!>iyK)Md*b*pITh8c8W>FZ*|q? zgXJ)VzrR1iuaiUKLm0WyQT>r8z>ESXr&&{4QlfFJm#vuwr4N9+24I*WR)qplOrw>f z`6V;iGslq&Emu)L0M3=Z0Jwn(NY#+dk%DD@)5*yR0fn2iHHTXa-1?P4KuketjfFr- z$h~}zdd{~eT%!c?{cdC36L<7eZY;I(yo`;_F8Vb+{mAhsG?W06k#+r6?)a_Uqw0*3*YKh9&}GxFOTgL3CtObiWDue^PG9w0*I z&mxIn^sy9Cy+B3ZR`L=gC~T+-Y{qLbAh}FsTj_m#jDrG778~W_>UvgCP%Hh`+Cp*D zuF}bVICHcww*QA)rdeslk1QxCs1{fVD1back`T8~-q~?MdBYV^XD(d82Y#s;X1UMG z$k-TelZ=ck#gPkr2ybRB&I|_z1{zN_h3$a0Ha#cb?sXXlfjfBEIhmxZ=d@(v3F zB!F!jq59x;TGahuF-Qtig@XcW{LGm%D5Prr{VhK5)hjCZKP?=H5 zje71|RRT<*ADp)EMV~^Mhmw=p_-lPj5)u-^fIF{5OaUbW`)bZ%nFG;9BhO#hbe~Uz zV;(;zfBS#VlIrltPABEbp`qqV=}DK>OZEu+_OH{cN=Wz0)u9myhbKeXw4?P_0*J93 z8xR7O|8Nz8EqAQJr<9eUf@@QdG&JF8(!V}&;?sS-H(~aqEuFc87v|9Ci4LQ{DHcNnf9u zKU%c8d5TkZ>FE%|*K?-*vU>|u&JHPgA2>sPNf9%mFe(Cwg- z1lLt-=qSa-YvzU8q_@j@ZI*n(ToZE@Fmha}jI`d;$X9orv>tC`1-IQGuH~4pV}D8%nbIxaC>B7igwv zM(e6X2R^xWoJQG9_=&4q>lq)^fdtX%pX|lW&iy$!*KCQ*s}BRE+IY9Nze=_0!aYLr zGKFU^JRiM?UGBt-*B`G9=E?^nECg81*C+0M$Y z`H#xFx^b&1mv6>(M;*o(cm@N8F$P$QkB?sqTrlX9fuK?|z%90RaP4Kx%;sUEsD8Df z?x@M|XkX_(Q-b17u(_~FYg=<|VxmSHe=bIQ4TCaTqaoAT#wZ!nEL>QkB)>`~IDv~O z>(#+R|10V-X_e$gO*+BhnVFd>hz|Iqq}l}~g@sZ!HoQQugwnq+#V2?NI2H9DgPv#7?w+ydX6MoJ>Y{|hRW_xNj4{@sFz8bvpgYzB{-)g<)!QTCT#h_45^|d!u60jPNe}OI>sGbd)RA7@U)J1RKzI|n$ z91{}=3~!h}@l0-n#rW@sddhb^HL5zwb10JYDxXOjQP18lxHxLwg*_bmI_t-Iykhlg z@#CNQJ{ovT-A`+M6+;tlxb;`Auj&7~?|xd166dMPF}3+jO2eY#pzT5k$$;0yotxwo zbV)bAHARGk)PW!x$`o*CZ+>ci=bZL4o>Gq2Szoc>Q5=4S4I9_G zQqW-Q`D2n$Aw~w<-$YY;R!$`Q#|HVm9BQMvq)YRTueGJ328L&^?MUbs^iy$06PIo& zwvV`wL=<1M3nNeBv3Cnd2Rha~Yo zB!n%R>6sWCOTfaCOc>FdK!CxOc$cZ!S=8{TRL*6fou?#Uqd(2|U?-jQMvb-q0BfB1 zB^fHV{c)jVf30XjlK8BjlM%uX_YfEgtJ%XAa=9Hv|YNUxW3ijENJtf zg2?oJIj$aFv@7H2s2V}JRrlLU@%Z~{CHmY6Ij1LkF1m3g>oZx0?kG&%bx)a%@P4Id z=Ro(B+uhYuytTC98@67UBkUiS9qVpaQ9L$@5eE`GJ?h_K?{VN?aDzu(-&`KxM7KJ4 zO(-z|*p!1*A!}}a;qC|XXEFM&1Vl94a!yWHaZfQ@E_R(~HO*&0Jun(`rC(^~`IM1# z>)81vqeWWfD(?sdv&1g#sx;?b=uT!sk&|^!i1+C`S$7Idwk0C7vwr*{KfnSbPPc80 zU}@F8S{k^*6c9J|Ua=85k>Dp+Rul{~97LBB_H!9q3 z)BXn^o|$e1C=7%D1H1qKNAPw|>z$w^O&MG| zs4JnosrKu#zgkV8()=$_erB4$_2in!|I3-)Zl&B1KDqQsArN8)b;T_3Z-h`B`=zI! z`#CbwUEyqf{``6K4=vxmU3YO2&e6^%1nCCJ{!ri3TRj>1>@_-F>WTI95JS585}cyD7)q_GaE7yzfZZ9fSc1V04`ip_w|y58Rx zMYvC}Z#2U3Uz^V@z(j#kg5~AqbpXnX`N(HM&;2E#dzCKakgog#1M%X7tiwThHST$P z6JRBKUVi?^5dV|X!BeZs^U5y9nRDl`P~-FSgeYOhc`C3i05_ZWq!)zozPvk>z?q=D zLBke!)Pv2;%shV;o2c-C6~TeFX*+OcWG?5b|2KT) zL!Dt`!vXLN0`GwN!olaGO0zcq8I)DH<0?s@)Sq~KvW@-ZS%9AANJ4B zjzrSZ(kSnglrsnw3FU)ES#Vew3?L;XZnDBpF&_V0&cZIMe-0Ebf-<) z3dGE1Wi|2ZmmjRX(a%q|pen&vYk{&Nr=s!$JsJxINFLCyH`vDT5MD!3kx*jy7bWC8 z$r6PLTl7|@Mp#yqHz|{dd7c4iKOj${P+(;7_V>p@^rOm3F^A=!bWm_r z>b4>dOzW4?QD!iqK$+Bc@iaPG__cZ_RdpHRfqR4t5ExL)mrKHcuLWaA#*dcdT6AG| zW;%1!)(1I*vBpT<*K@{1M5XvrQBANB`rKwM^6k$M{5MU2D?7qChW#jd5s|6$PYsor zb=u*a3tis}yinN|rXF~D$jvB(pM zG8eG;5mQh>e5MQUh(3hFjTk?ma*)bUpJ-Qgrk-#W<(koYSf*@pmf8;jj>fGaZSD62N&@9>U%swdCgQNnH^ZJ4&{c)!3t*pC_&J}ji0A^uw7e)FxP3u-M4bUy0z?%4tJb4X zct55UK@V@+uI~o5j;ypa25`)NA3g}Y&B&MlG7&r>v{x;4uQ%L)Fw*IpsR*ku;fBuE_dNB{2V?+$1+JbHENGuTeKO~QF*?}@RJwYv z4SRta1-1{#*E|NK<@dr73sH&bH=nXHAy`Bmaz5B?b1HQ$`ZG@sAQ&2f@es5OEI=Be zutsT+Ef8NN2;jWtT`3_!QLv|4Z^Dkbe3=B?2DqvM63MS${$Iu+OeXN_S?C(s8|P&4gcq(M20Cs>K8ykUHt|UwW)9 z?$7kci@Vmhsy_j)l+!OmA)rY1Ob)M1^r@e@c~NW9$gTgrRY$quP`wcjQ=v?R=9+K` zbpEnXd!sli>dsx~;I4bs--`bu7Txb*{!Ds?csC=^hv&A{&ez3Ur0{VKxXlEvB0vVo0q+sK3Hr))&{0T`^Bwu+q$ZM^ zOIQRy5aP!g2iKdoGJ8D`#zltpxXN#MF~9|^k3KnXB?%&i7hvN*{bK^w5{LOd0-)yM zf=s{cu7QN-4bP<`7Ydhriz zQmRjp_C-t%U{Hb7`+9-j8IBI91-yoJ*x=VabL|>kY-}t&j7pAy1RKZ#@ZGzn@h|}V z@=lfI_YXIX_hA&9i8>tcGMr^+$Ax8Y0&|%|`1J+8eULjtStOYu0$`!Qd8RQ{S}ueC z)r9{-v|^&~89?q-(L>Z@Ab5f~V>8z}&+I&gV?Pv-c%l#WY|yk>!qwS$F}8FF0I9L3vpP zAZP>!0c>TQ-f8=T;N8om6i0!o2y=qzb+CqqNPzjB>5j!TX|wkcckO~N!o@QHH-zv=H4IeO)y^T99O^^n}7ds5oB#&@IR#i;W~Zl1C4z3n|xHQm>tKAALsSwv^f0kcC)q>IJ z{%40T;B+f8Y9yqhqJo9Sgi!|{u}h@XJ8m%+K+P7V-QwJZ-O zfLeeDhOo^6rlgv6CV_A+f%s!k*~uA`)!=x0gs|ftnRc;Com;6hRIdtwegVGJb zi#=y1p17aXqWZ3o(f$!Au+Rwce61g4sl>munj24jn9)juuOATX|6N(0TDzKISs!B++SU7zgQ&kJ5xlr>>c?iX_YsP-rKY| zH&Xtd=^#;UriF9{R*s4g@-()dk(9`rv;y;SO`m@ZF7XztFrd7Z`o)M3S2^R#JW-@%zD+E^+g`cP53dy{v$h0h_|XeS&{`jH!^m1{BZQc0YWicIgiQv`|x(*hn=yq z?}I#8$sLkD=K^!mANMO{-4&!6%d-s86QWvO{VLrs)SETGg`eC($Zymq_qjaMJR&rL?qFknJy>9*bSz^40&9o1t`tp$By3ohS!$QJ&920szqaM9A z$E`gs_SURu4@m5Y*~BwJOIfoEUth9aew!Pa&d$jaMPJg{ z)+Vd3pS0&_%6{DX-dx&hx%Nvc3iJ$4#|oLqKn!bxx`LX%_djccHeRg8P*x|5(t3@3 z@Xgg@#tp9w*v(a$tP=8Fz0gdk#v<7GtFyy+A=UQ+*9%sjL5h-QL4`k7qQ-%@T^|Tl z2ZNFZJwZ{fkjeR+ZkY1CT_8yin+X1ZSISm8{GIy2K&FE2!n<=<^GJAQ9OS0$|GZ%c zU*4<@%MBN1nhBsI=cye{C9{%M$3U(4aeVnwgwl|&4&t*etJ_+6Y}8t5pQW{(8hMVR z3Lgt5?(NG%M6-&FOx1rfRt-Hy?Qs=uSL15lgosxhC|Z_$yj;6@%qV^PHg$W_5&tX2 zs69^dM_)T~d_>C@$Csk8I_a;?4j*4V-EQeu!jUt%N3CFa@R{_zzUKI*=RuR;-1X>7r_sNB)Tb0_@BWj4Wnc3g6yNnbS#@GJTOjgsO!|L z?RZbd&0TI|+XC7l!SVSQZ;6@QaKf;9$Co$pkG}QrEwz=XW}66q`axM{Jv7yESugbH z7sb3#tG8JgW93>0NoCg_#w4ls6{p#^rwBTmgdP`nwzkTEClpcz1`261g14Ty3v128PncESj>%Y}O638)A0rUmM?Mt?PcA zqJ8J?L>fz{#k(~U^J2F^@Rk4RH+*|ICI=Q_bk8S?EG-yCs**x^GKK0|(v`Q~R@Dcd zLR@v=TnGTL7|tXrP)fwg>#^tH^7QGKfq~QDHT~qenIj($l^ij>06w^E!7D{8;&1_c z#17$&StC18e8~Y?>Mv*xW57eWbb-SkVV|IW zM|n&8;<5tBI-$dAp=d$+CZIP(EmJo%Zc!A3V8gnRvyh2pICq`ORVrda$uNPpZQw|D z_W>sq1`6seJmCDHw84S|+nk{kgD_$TVBR$EPQyVxXnDzo_!uRQ59|R5S}+lz?FO8~ zn+tTK7(eWCMW2J`Skg7&JXhw`Q2A>wg$Djw$}aWi=L+DtH`mT5_CFx z#M|}e5Usu*tjq;YmmfdRH0wT8g1#hh^knEK$Hj#JKau<6XN9whaZO#F4AkA(+k>Z( zTz8fU0906pSj#9he}KtnsLVRq^*&H;M>|ueuyLrxxy3*{otv8jy6)BIZ{V^9Luwb; z@e@1#vZuJ>&5Mqf$goIqOCv#C%2#o&l_ZK1PdXU?Jp|@n`41d1WEI1I4v=?zB#DqoA*TGK$Ij6Wp`R>O9Mlx9F?f2F4WDAgW*|(2Ah}0B8KOin}3utii51p2Rd8XIiixLf< zUe=;F;6HHdhRc7T(Z7v2|EZcuDv@IPYvo!GAn$+Jar(bZwVKoe}Eb8U)cde zJgVx;*=&b@L88BaPm>endhb#J|H#7s?T*_2H(2@T#p;sX2{`prm7ZPuCE~Fqc=cow zSvPV!&{Be2=Oy${0w%$C#3h1I+a~<6O+5gdH@Bdb7PwQuGC5E_OM!15#Iwh<&LrOG zC6>wP@#+T4W7vy?ggpIl=l~wQ3RDTg#UZU$0IvO@%_j|d#RA-$AEU8f&KWTFA@-0W z2_VbCPki|*w1?^#cu=DX!D+g)zdr?S3JTztB%#MU;Ww}xr_4-EA9Fo@`t)JapZWe= z2-@-xC;7~~&LE633TbpjiU(m~-H}pYd$R77u!E>dd^GU)*%dRkF;QSBu(7jK=Yh7m zjHCi!GN5O=396wYa4_71_5rIOrHzmkAlhL9*$KhTVsYw(UH7eVMla3WI5;rC%rQS` zS6f_@#J4nIzyRu4hk^{L?Bcs zxVnCpkMHa2Q*YkcJi+}b6ni|bV1AVW&oNb7rOHxCzXQpnqd&=4z7^RQ@6KJU(6H)~5%zts_eeTcfd2q0{}9M8uSMCd&>b3zJ2 z(EYX3X*vlVt^1+(ku;Dc?1_udk6Sr4UwarBosG(D6>`FsqkgwqGq%#26-T6onzfCS zp`zt}qiEXGas-qG%3C&=S~3baV9pL$Hc$mLS({5sO9PTaSZ?Sv^;2fQ;w1d?#fjicu^qt9k9XjyBf*NzEa8q1t{`1q&7TQtu=jt> zEQ~3cT3L|*zmFxSS+4xK7<}PU;9vw1`#kj+W!zWBwf+0$oH=P;31MMjH`yP_PGmSE zHQRq$`J-+FSz+4#CUx^1Q?N2Y&6vr1WmiNEAQxvqC#nDG@c;K~0rD^Z-#i^>eTCh3 zcwIMUG2ljlAc2ftKg3E-M-?Uh2;9+^p+AceuJ)`qQziXQi78TO!&93rb_H#`PD~7g z)MYrQE@9@|PRUbsE+5I~Am25>0mMm}EyspKLM!enz^;;H`D+#kd?19N*JyU6qO3@k zm7i97YeN}SAw=DRj)(pQ@b-el6$-4zIeB?Gx$h5(GtEAG9ZNvhmYA5Bz<`^J3#e6% zH`Jh#E=B4_^lJ~qqy7&eK1n_#Bq-6?LEd~T& zfPgPbD>p2l6M*`6XL1DSW&+luj9`G1ht~jvGM$bbC1n;10xbAimjzUZ+1c6FQ$b&A z|K9gs|0R;1{@>o(@HP_~*2Bz_oxwd1EURHgv+e4*G%OkP@Wl+vpKxt=S?uBE2OxNt z>)Vcevc=+$C5GC>l_@Z&6-=b<>L+hbfMgGHqgvUM`*QN~Y0#lp*Letyokrjuzx%PD zU7C`7?)i2TM@fH%5)C*ka3NG8Jw4#ML(KKi-<~1&1B|)g%VPLd`TqTT+-s!dk*Q#5 zEMbGb*SR?YXnLvK9(4m-N)s?=#N%G~SAbRV2Ur76a(Ewy$Ntq(*M-Xv6_M$L{?0mZ z;c?c-xDr1!+-Pk672)6~rLv?1uEfajjw<5mFj1?j<=1a@V9zo_EV zCn@$Qc>4sgRJR6BdRp4}%nTlMxd>Pc5Q7fVE8Gd~d&nyrAeg2ZH;2>PKDL0d5PD~E zaZwc*E#OB<09vtq&%akr0b3SY!0X{X3;tjm3|ks=Unc>hx1q7IFYrG`!^ICppsc0_ zNOZm)fIV#A`9avzvY;e^TaFyve20k$e&ONa!gjy#Vf~TzX=vQJUNuHz;QkEU&PcyC z!d~CKOAlrLQQtb^tw&l0p`k4l(VCzi0urQmM8ql2oe4aY6buerZjpKSS(Fs?Pa~2Q z^(F0bXpo>4b>c#7Z;T=i_)^_0Y|!~74e!n%V_}Ja)P;2Jig>ZZtsvP6Fds5R-rbLc zKrwfjN4P&NPG@=GXb{zMyMbPK?hHqVof7F z8`Q1}eOa^pxiMri_|b}N@Zg9~oswNy)p~n%l??XFya)79^B{c#u&A#0p&T##_>tOe zYmr19juk`k^;D^{slXG zd;i45L}AZ^Px3#2HV%PyOng?qH~bGnz-ZMqB=M-{Ek&~{1q$8uR@Rv;X@HH3n`6)k zZ(4vp?~t0~BfY9+=wP9SrpB|tBEyvc5I4Xs5)8ir?MEQ`p7$f0gtQ889DvrB*crC8 zkVZZ?em!s)B6tPFIN&Rx=Q;@5!g9)l9`(o>CmewX6?jT;ETlKt!aYX5dgTWj=R608 zh1kF#_~GF_1Q)ua4Y(vEm|wqsjr1c7*m8i3059|?sM?Ba+JlpH!b8GbN4r$oKwce~ zxlsDB?KGEuCGE|dH<27}XvhlP6!P(Lf);7e9Z5fi4!ky0ln5e$qgoG*^4i*Q2F@U?g$)9`3Y~Wiu%#6lbAf`L4uLXN zd&UEz9SQ|6EqN~g5+~$0E3G2P3m`4}LF`Y3BMgwI4wi1Mk;Y(_aRFLZ6c5&bGksL3 z8+=1jdCQ~}x?PaClK-OydiRm00kCl>X_hqt09ggWH3d)(Dui7#zQlN+47JwVS8#dBt5k>O+5R4R^o>39kJP(8cAn`fQYi@o9 zHRZLr^TNR8pH*%&K+(^yBLD*m+||`pZwNSW_ygcya}J(obHo5KY#8|BlK4QzfLZiE zrw~34>kaRhID@oI9ROR6@ZHqPK!g&+G2R7;D=uGf`5?rtALFOkvf?~ow6dz z0iU4|tOU^%^r%$`bZ0;sg0uF9*ANr2mVl^u7RY)i$eW7 zJVGci7#rRc;$z^sivxYPsF0>^F9=%*IRG6j^E%4WRcklj}8h|VQ-DQ1E@&O s^cmvt_$m0J%RKP;U$u(}6951J literal 0 HcmV?d00001 diff --git a/Fictional Character Battle Outcome Prediction/Images/__results___31_0.png b/Fictional Character Battle Outcome Prediction/Images/__results___31_0.png new file mode 100644 index 0000000000000000000000000000000000000000..244ee9ebc14212643be7a29c04a25383e33d9c15 GIT binary patch literal 56549 zcmeFa2T)brvMs#L;%5RQiU~nP36g^nR6v4=m82xeh=61;0E&o6 z78FoGkSs`!|Co5*dFQ@+?tSmp`>S5ntwWvfh`9IKYt7lSd-Ukh&F%B&&TLq>YaN9` z*&rn;ra+;r=*54WYggkZ)TLfQ_(Q->T+L3=>XMz~MH@qk>_xlF=2mv*CVKlF3~g*p ztSq_M_}F+@_8Z&TUA7fuXSewK3)rk|jMzsaBh_&cs>_nyi{!s$2_jETD3q@X zQer2SoWciM9o1CE7vGLdZaCt-g75H9k#$V>hoVUq9$N#`cn0Q29nxp3K5$pv@UZP} z3*ye!O5}eZ5OQ#v7S+A2HztQSrO(dgt~k3schfI7tsSb?L$;l>bh*_6>9)deqLYr` z!zq-PLv#b$OW#qPuJ~^x-+4)Gu3bjHIYxC#ko-wGbW(B+`ST^iS}X#-9;`gDXX%@u z{jn>^Hy3EG+b#Xz>{VRE>$V!pc3Q4WXT#ear$-Gl)L5Py*F-y|GYhm7IHu#@n(;@G z%reT$)wqtAr&^YA0Dg+s*?fC>#W+1VsjDLB49oVr+*WO0H*PEUOV!M|Q>GW7m1iSm zU=UkWiQ7AcTiUPk@#Dwm=FQKID?O*aubKW`EmBrdQL$0EEGkYWRC-}<`bT$F*y#LZ z`dk~o!AjS03@6v}RL&w4dkCW`9WroksX7rtJaer{M9t5HCF(Gk$w3Zf@9J`sIt}`%rdvnNYTDN2v^#v7hpVi)YuYS!3}yDlGiyrYDDJ6=IWt;wW}j5#3Fp#^3aLBWjvi8c zdTyI?w)${y-BV73cbh9Bg$fMb`JdEyVb1KiFm2=`@_S~ye{`r|_)b_@7{7pkRH8zh z!S~lU7EQi1rfM>IF3#uJ{rq%N&~bOdWumtvEhhcyQHU+qW7S8Cg3zhB~&ptKw;QcMA76B!_mr z50(iJ504eSvV3%5c38&ADc8HSjcNYZ_cyh<*80}=_S<&s*paAR@M3PN(~r0Rgwrq4 z)tmORO#klL!NkN=5peJpxA7;@d;3Hdq-Xb1yh5c6hnK?)ljo*?%Ve827)+1;sEw7{ zLQUQL!XoVY&70CaA0rIQeQ0_6lasQ{n-wMonhzGaj0f8McwcdE&+*c?Z_lLZmayr% zjoiqv9BwNztO#VR%{Eg_)G5k$Tb!S)O;OJ@=DB|Tx@1F=a+zMnyO&p1FuG0*Jh%A5 z+lvRfe&a^Pw^!G6&Ax=NX&wX_WRtZ&cw^l*8tMR@BA1G2@w>57L5FG!9Ic!e=JE#GOLRBx z5o8EHqU@47BWU+?zxbW40k^j>?c(Ei7;IrISzIU>8)#Pi+S>XfRM#UQ&$j11d&wOA zt&MwVutD_ne3oDRk0>X-o1dMGvuZC^D0H&U^O(<1(J9i{E8@XoQX6}Fqc)Y(U+56{psx9UoIJ%Q>Q6STUo5Wy1H7e zFLJ(DwmjRnms&qY98boVeA7P9xhM3|%a$!$%y&O<;J~9J%10vjtRgc~T*mua zl9Z2zjc;euN}!Lfij?weqmwOs=3fPlUOsaRU4g|;v{ib zF)=agcX7YFG<{~DJ44cuFE1>(8n*-(_s{=M%uRa#h{r5e{OKwz4rr{b2KR!=O#VQ~O)0p9yE{WM1-x z*TkmYwU213N!KkguB?rhHJe)uVv_5^8Y*O)DpOPIi-<``yoVo&!v}H*m-(f}KYqM_ zdN8Lw7Cysfa!6ZWM8suG68q0YRz>1v^?l|bI$<|8%dfd3Enn79M9u#^twD99c3)FE zdu0e~5cXY0Oze7=Rl9JxeY#d2eV)ya!1c78pIO-Dqpy$TkC)&nBy6pd;Y^#|JZC2? z@;n!dKSUf??fw|CyR*c(zcH2HsxFXGCRRH52)THzJpCWpMiV|i~94@ynCU{=O2q^8BPwh24(2KeGhLMZQ*EaoZwyf+34cM ziwgO6z5Mg8CG!(u-rm^YgN^p5PM>D9?f$^&JZjKe6LX7%m?J7Fhh@WfgNIrRWL{le z)j4LhoU(ZfiF%9CSe)9Ya{H(@ZVWjj`$#hW>_eI#?b*V4?z4kA`WyTVD?@zis^_qb zT`(VddWBfY0ONFa?fm++y(5e-o;FcaQ)d)2^(opW!xg=k6Pafa78X`W(-M%15-!4) zNOzX|F8)3-+&C%skW>79@X;Nef`|ireF^HB@hO@)=NyKV3ZRUeG z{j#4P0rwYsOP0yO;iAb%Izc;0l{78deiy7=P-}r><+U}N%p>EYjyryIYMp6^zweaF zZh(ii@QAeUn)LQwo2XmjQD|OS8z;kP-&a412OzduWwvG`oj+psyM|;{Mys|$g@p45 z1l*>cop7BvtMK&Pp3dr{N(uf0pEFKlv3B&=jeU5?b=RBt9*Yo7&FzJE5HMtxuUKJ- zmvFj_8SCebQ{^hdBQqkP*mQq*sJhThua{-|?g2;V(ZT+30bA+Ch50zo#RZ%GM%Kjh zPp-Pn^gcyIe(5O@g}A&RJ~P&9i1(9NW>OO^p3=`_(V_&mXMl_GR+db4`~|=u;gz{C z85Q$JE=sty+x5(uGbT-G5pe5=%0D^7n)$8BgT`H|dQ_XJ$Yj!9TvQe6=jZ3`&7xbZ zB_`IAZN}s{^!4@&A$mQZ+%_CKd1cz;4(2KS1|J^C0}C9&H8P#&`_oH2e&na}Z5`XE z*gS6=CBV-w2?I8S-zndEnWJG$Zrf3n`=@TKtEf*@{PF$Gts0%2p?)lOj7gF5Jvspf z)ikZqvEDk>w!J_cZ-VfAI^x0&!$tjbI|DABW@`Y^K^7{h^aEGKac%d;3$Ux z%2wbw9O61TR5Z#VO_7TtqDBtXi2u!$;CyQ7z}RQ2Iy>h?sv7Wvnz$-y@4Q1r;cym_V4Diyblak ziKE82f4}HxPc=I^UVg$e?=H38_-ltWmeR1dHtxB{yo>YiDn6WW)<7n?y{CHC!kC_Uya?*XbiDo0~BrCj)o}S%e!>4HRzi^0r!UgT6--oas z)y%OB#?e;_Vbwfj)|e6i%ar!r#S;tsRqncc`SMtR*XI{rEgu;fp;lE@O;kz@R7%%r zRWpLivVqf7FLKFtn{0I?u!n#i+(u_`zwQh3hi<=Kt>H9lWRX`k`TXpO`Ii^6Ks|<; zk+*K$B0DbOyNeOtGx*uFV zx&J6hxUPMA1{OgAUEonwHj)MaXn49;w-vd@;jnacbunPwL-6m6P7zC&V_02qa}1#S zHV(pvM?C$(jf=;O{xf{rJL+d~Jx63_Nl(xKtc&h_`YVk0}F=+r4oi zxRKzea#6e5&md;Psu{3pdKqdoNlHua6B83t{z0q`k7Iq=$@$s@!?xOM*RGXSRaISj z2#ih;W4q@ft4UqF@5EkDPfy}a^n%xtcZ>R@X%`#V>dUvt`3i4dWle`O!ldwOI`tt-7V$0b8!ZN~-JDw|Em@%71E`ki@z{KHw zb2^>x zFn9#MG88dQ8VMnP&2ox=DPfk7_Qb+RmvbVe2dFQmLk1e`QGRvRU$M459|PI61@+Yd z7Y&hT*v!w^%PZrq{j_o~pWMZ3zH|5s0+QP^O-av)AZxtp$L9=viNoMT+6@70Yw;** zixG%~(rRiCs&;^c2|eyOB#DeKH!rW5#nIL_=-an%p6-hQ2hVh2iwLI?_CwcwJor9~ zx&o3~RA%6L@=?Lx*ISr-t%r|;5T-BF*t@iA~mHW(!5=lyldYN;{>BWJk zZ*8o=$C1Yvo$iUM^jfxpfLMp5t>BR|XJ1-dXE+Y)Jmj~ICg{y(ZpxY!+~V8uTjbGo`&>-HtBy_}wk5o_qNT(rn}v+Ikk-DM6i|w-n%gw~;h~ zIr_}9iHeHa(Qz`gcoHG+xn9{i!W>nN0xM}s`0PA@6d`CktA-@PAE8%B8uC!k-n7sP zyy?iRKkESl4Fr861zbazIVADB$(>Hk&dL}V82Ah$z6S#Hwzw^$;^3FBZ)$CAHGFe( z1A#=$Sc<>j7Pm>QWZ9iBd!abxcbuRAYeFAK|EeA zYVV-I!1wP578Vxh>1zS8AM#o}y3ekwQ&?Eo)lqhr)3p9DQp6k7jaNK>KOfnQOk*;A zIA`OztP8KMsx^_@B(!SF3yayP{#E`bF5?j*1nmRA&T6d;y&F?AGw(I6iWmvw0Hjla^Lb=`W?bgi;4;cL`#(Nnu7W8F z?kqq~cv_4kD}-OgL%zdnP19vX*KPfR)nwJmJ>TZi&kFANT+kiPG|4 zzTlHS*jm8X0yDZ(l*JQKP*AXP<;qf3X9|UZzu=}_KyHMOVw^OihlfW;PfzID-~)Mg z{9fIL;qT}d1g94IyQiAuH=S`hl!_H^k!=1t5?KFpNYqV|*s}(XjZ%u5JRn$S>Lpk2 zVUuVvF+%dOYQETt^g}9?EkY?xOFd1e=+URJm%k;?rXM`yq8)`j% zvR}@aibJ*@JbNs14Z=MVQlI2K_-k-%*pKDbWf^N0SMkX$+i&>H)z4fR7VqkH5ag33Gm=GG>^7ak!j>gL6|AS|;?q9yLpF%yago_=@b zx@|}9i)vCHYz5y+u0F%3R7*LfYq;Zn_3UPpDfxZM1FX=CHVw(%=C)^6GamU;)t zypT+^sI|dS6Yk3V^Rw@|o)Yjwu^QQ?oQ^|U)Xp`rO<)Cu7pC+DE`Re1=eIt!ZtLOw zFn->})s+30ke4gu*%&?)u#NXFACa#k%sz38^&~4jzcVjodrrgxl14l4ox@bk?8HK`*S@*}&-s3%O26;!!)@ zk5d?mrI?037hD(PD0F)vHb43L%^Ttjd9@GF(b17OfvoS9>J05)+gbeaX}gyRadIlW zFmI+O@SfYW-aG6mMUMvwB_8n3$~9{U72!7CpqlZKo6tYg-*4@UX0>X`O2k%`O)U&G zXL6c$*AUL0h8A}8qOw5^U?J|G|fM;25q$YSsNATw@m+Q)_$ zg<|VICo54TX>=TZbMy00>9$)HIq$Ona5aHX4w*U&!p(h9?2_O=^$TCF_UGg{7vTPj zVUL&Z^#_NJAh`5gF01Kan;?k zPx6ijvaCKV&5who6vk^|fO0~|@G$$e)f)ogASwunjKfA%EF|hCP4#xKE1lynn}6m! zyA#0*AewwB9B#Labm*&>LSo2>dPXpE;z}?n28cYjGo(h29EeZY;!K?dX2NGUB0QYN z^5BIXR5jt6U1ja>OS0{xhJKp zw3N05&GMz1q}2A4e@)ORk_9DZzNj02mX=xbMatGAN|F;ptw(`%WCl1Fx8%2cUbFND zW)YMv3=&?(TVzxsM<^V1TTU`OK<#s>f z=TFn1skObLoMmh4DPH%z9^Y7`FAlR6!Fesex92F%<`$HU^6Yv8-R4H#D&$_iXi}db zA8oNCkhfb(uDiqaeZ{!JUzw0x>c?zRe7%C zecJ|m1Ox@&182p8*iy(cmM1ucL<5w8s<(PL8J>`mE2lC2c%C`{mQnHK^ew_#Qsr-; z1V-X$R{(D@AW)L@9f0djV^ducxTMiHn?%Gk+fYLVz>&%Nfuj**RXiU#;2q4g|WM`}>Xi4LiE`Q(O-iFOy_j+gqV@s)}|OP)=*U{T3_=*f^!a zrVaZ|I`JY(_o<_ivA2YKE9xt|*KgRkaiM8avu8bmYfjZD@t|N88F7y8G`TEeaBmE| zhH@2Oh_&rzSfZs<;Juw?+(thEu)8YROYV2R^}CDepuRoj!%suLHPwI6MH`(K!fBO_ zUo0mQ+o?uuCcQ^uWplBht>xEsNFq zO1JWt?&d6-bEnq#sbecigxSiXcAnItraSJkleL8ri=&|I8g0JAUkfYB0jnZ)52Yj} zDd1-Mx~Fn}yhaKC!!xkI5ICKAscM&nI^s}SYpXVHE#%qm6)(qf1=do!?{B{50`$hy zQj!5wCt%-qzaAyKWiOUX3gAxF+^T8UQ5J9F*)FhA@pPh|>5(xygjAH^;0%GY16g;wKfSVe2T}rWRlL-z z>tOszp;SVYgRLSZGjcpg@onQiVLE*gM@srVXQEl~GB_f(q*2?{tPO%uToOlD0nyzixyOr#5he+9%qmqVo+1Sy#N2jv9TsHFOXTv8_rZpUFA8{CvF1bj1rElp z5T#=*b;~5DgxYrfo${)a6iJT`+w*d$;UfpKa0^+pf8C=3yiBbpEERcV21{`d@?MJQ zdvVD%Ui?nYZkgcY7iT>B-7-Omo=c#?O8Z}@u3fgDy2!kkh*-R^Q`Y|ezpGHLr+|d? zzE&D;wH@CxZ;ByTc6N1@!86C=)Zu^I9tyj=WKCZZI&q@3y}iBLJ)?^6D80>an-C!& zzvfz>7SlQFevlp_jD>W$pUWr}n$i#KPhWq?M>&dpDV2At#_OM3cS;=Wy6a79?qXtd zb8{%!a8P9)z^5MDL$>ecRJfIjSQnyqfMc68Q)Ci+tEhrFDK6n_NvMK9|1)}UXX_r( zJ8#@F@v>uZC;vq0^1r#j|CwCoUl+j&{P*J*9X9pCp$0;{ayK(Gli)*;B|7;FD480* z^ja3kWps`t_E3eq2RpSTQG=`kh2|Vdfsd-DZ6z)QsS$Z2VZ5LbuvwT}x=7aen>TOb zAaNj&iX^l>zmv+qx%~t~2r>?SMPV#H29T+no8-+Z!~^83Oo$c<+PzKcndh zB@sDw)4fll2oFO~ABeQKl!caDz-y&`PWRCF@85}Y0==}bxTEvieuT+TR7%RHB7JxB zNfS*Do}{C@`w&oC2&600sF0*Aenf0xWMTQxjam`DxSnfDme}^(!@qf>Mp9+N$H#}V z`n?e$kR$~}u0pE1pq)q_PbznYudh>OEF4F=-_h4+>h=SGPV>o4nH5L66+U zrt94S@La)&Q_@e*MHs+6L#q_7*529QfAqmAjvmv9Pf3L1+zRQ!PDA>F$Da zuNpxlL5uLhXRnaP)oa({ppAR(KI@==EH7C#{m!*Fi|uFLfgB|T`4EvSq4qod z>&+&^&(AJSw5(jZREMwj>3naZdm`i%NAU~C;Wp#SB<18okn~7@OImu7q??qfo#WEC zfm}o!fv^9nBoJ@;&phq_b4N+t;~y#F=|Rh98Ln02!gHVxF%DR;?2fJEJ`lnw+65}> zwzC}Gu#4LtrT%v?@Ga52ER@YI_PTQXjsTYfvJ+g2_%w`nnp-#ybx9ebk_a3^*C=^NkR=X>K41PYcpx* z+tF;^{HsNL=`#K_WzOGnfq5(7RAN|>`aGM%86HvCx^!2}^5LgvV7vt8)`UQNqP-d- zD)zs>S0HwAraxWb$*CL0l~6#iLq=j&xE1gN$4z=`kN*&g#E^c~gtQkrD=Ngf4AQnP zT^El;SG$|n{4m%SXs1kB3c%6$?BqDLi`#f}dfA^_3oM;RND%@dO=H$AF7);W zO1lj|5{Xjq82L~<<;Q>4w8^_0oOZ7*JPL-KGy&Pz= zvB58V#b$quMBH^Spv_}`T$R9=>$h%wVX+_* zO@0w65oE(e#Tdw{$!mT2@@7&7kdL{EJiqes$!lE@Sy0I{Exo)#Cp;?ljF^}tJb{=P z1IchZ%QsL{SA?=hg^PF!dn7M8*Zr$*{|*|1UZxTbHx4RJQl^2HECe3!-Pb(ZIIyWy z@&}hL$$Sdi$`s{B4_F6zBVqG@cUKXi4N*pb^)M{l@u%u7jic2DlB9DHfrkaMf*=^B z6f``()NM=aC;GK4QEn#Fs2VaaB`Aex!+xkgH#qQk>7IV=D`Sp@d)FB4uBz1fx%Al# zUi^MT!Zux!sJ&c=;D!AkPHWT{eC~VVgps_GEhn62RX>soznqSxcS}maaA2+x6vL&z zd-3106A>x7p71BYY-RuG{zv{S`r7+c$_Ft1T6X%`t5_(()WNB^jdE1thP9Pj+HnD(idQKh!o8tD35zjO@L$ z|Lvc5b(G3TF2eN_HEYNB@6`K5mh8=IEAz*yR`5pVT$jU>-Xrp&fFurjl;(e0xInDu zNZAhF1Fg`^JU6Ol1L;U;FDKSNSGdmr^8*H!^5R^20@3i<*flFxzJrgCX4M6oiwEG> zxkG?EWj`a_-Q?tCD4}CDBLOZ@hS2-R)95kYr@SP*`$6<(c&c(4`K8Ooidk>$6|m{@ z2N5Bz=`q?RMd+!2d}~{r%nn*^V}CG*XAtih=;==tFD|%}h!lr7{tt$A#&I9iDTLr4 zn#4qfA}3dIf;7TVEaC=~#3)4NL-C6TVuvF50VloiS?TaT)o1qH;2 zU>FL@_MNJ(d$51@AA^oA91R-7vsMsS1osz;EnqM}i3eY?lIe2{^S~UV-(IaqRLh7a z5Etn52M9YV_1#OaVSaz~));K`J%lk`M8x0bI$Qy$M>r`OkUr4Y2d>$)m%$)n>E#Tr z)_Yrp5SWNq{yoUxE5h$-GEU90-wtmlkdSMGSvr5W?vyms%7v_G; zsTaFByEQCDJJCC1QK#~Qkz0fQ*FY6`=l?v6I)6hyQ^Wty0n2}}B?GJU5BN**`q;nc zHqyt60c}Y6iu4wkU-`4J%L{Ie!J_Zv}hlMhckpDocri=xda| z0a8Qt-`Eu+VAo7#q$3($1wX3atxwt1^@F7hNRQm z{%dk_2P$2iN97_=Chzq2!SrNker%(H)Lki4z z`Hym}Fj8q^?rkQNp(va#iLp*Vj0K5)OsXe}T6u2M&$EncUN4nj>FMGA15uKb0lG17 z>jaWHckUe3d7-6G9jQ!{tF4QbI!L6WFJFr4tHa5yT)moPRne)sD5wdz&tw6s(CVT* zcON)V`uzFLvdv59OX`t!RP0@ENEiMWUM2qoq}(nO1Mn??hdZ#EBY0v^J)%R5wihxHpZj?&u|C3Lqmkk}z7BfJW zzY#G3KBB5p1{v!vCeLZx*9e9_BK%r3}G8u8Z28pJ)#&Ye3uX9!e*N+FDW=~^G&r5ymttcCi~p``*3(d{F!{6JGz`WP2! zl0t$PL>fw_@=HoepaR&X>pa?ZI}{~&e0f_rZ0IG-I+Xm@wziq-LtwhVh2ya4 zbE+Bn>6sa52NFi?QSDpQf|LedR0o2K{+ePZHT$C~DgL0%?__4$`t<*ePoh^PZKM>@ zugyIFjFl=GD*}uT1_f0CUMLP|oJ#!=c?0G4Yp_Uv3mRFpV^xA{wGb}!+}qL3VmLQ7 zLMR}J$QAVNFD0L%S2Ll!`1ggMP)Mwas9s!*Fa$_A{zz*^n~kC>Ac!$UEe}+nN6fGb zH1&)qIyij!lm9Lp#qI#}RiJQ8Pb7iBuSg~cmKjxtFnPfL!K z)oIG@BdvSNw1m=W!F77b#>_>pRFjEkXmXur7ZgW|J9R=m=8L{E-xdYvQmT%m#o=2Tr ziZn!#KHn`&=SUk?90(cGVJ4Qgl%RS|8BY2OBYy|k=0_xn(jhF&X#ArlsxBxneEK~h z03#jA=(-6Y;-RULPSTIUi5LC-8o}=)7g1Kpr919$7UED}!+*#{e1?e<1>pM&i&=d_ zK#FdOaQQfrog)Z8Jfxjt8+E|5XU`VZ+&i2`e_bh(k-U8IqKQtwJM+bM?`NJmH{E~R z3`Bh{8Y-r~xL9~r`ZFK>Kvd}W%yFB!!9u!OCI`0{IzuG`QKfoSQAsoD{VhDP?RmC@ zH7O;HCV3z)QTJslpM*~9ZLY`V%a?unp`5LR-YbT+I*6&-OvQI<`+Ux|gwG-w`t3`X z90&{5U;Ovq$w<%kprHkImYG`nfnBv*uAvH16*P&)!92&|$iLOK_Z;PlLRckgYpntY zS@fP558Ir*HNW&28CE*?=C>T5sH)8H{9nJ59Z*ujLkzo-CPLr2Bh{6nbKxI0t@PfK;b0^G&39WwSZ0ps zzx=~rt~6@;8%y?W5hZ%^od5jDGN4M;#)v|=kM+$fu~(}5Dj9>#KyVBkiQhz+#)0!v z?=MAkUq)9PK^4bUgMRT}`CcMTA%px8yx4HFE#d z@$=_l?4#|SuWKd@gxEIi5mXYMA5*+%A}?0-Ldd4en>3!Kx9n=R>3tigkEh^H(Jwz2p_gX*X;mg{SIkIJQ9;KBEXLa;iy%T7E!S2 z4rwg-F&T!DZ=XyqgjRlrD7Vqu<}FzjZE=jd^X-IYC0K#IytB?i% zShe`tg$|mnATr>=1H!be_HV|Z*|`s$#2M0dOj;GmWC5@}gW4*0HuHD^D{GOiRLDqz zAn9+(IAWV2{FqDe)Zg>Av&^RtuMT3U8s ze)6F_N=0)t^e$R*;rtheYXgI+wj4@;N*ar!3kPgEY(t}rj~Q7+x9TUN^TJ!X;nw?x zhtt7VJ=eFl#`uUQWSMaf<0B*Tcgvz7N_*j`9#7ikWrGg+k_DMyW2{g^g8)Q%I&Xb< zKi$EuljSIIyAQ>D4G4f(k$VUV2=p#4Oo}LH3+*^~Q5Hnvt@X6gD^{<6=ExjB))VDv zihfpZ6kjp(#7f_}-Zo5qbL~aG#!aPQgtDqGx$YElxkRdvWkOiMiGp`OZ^`Sty@Yw*Ja)Gw0L z($ezLJK36R9aB8n=K4s$_EH45NnjhytL;ab6j~JOQD6|6`nE!u@w}MO86qPS5)x{F z{uvpPNzeNa!zgk!fi~{L=~W&tYp=y~jw7_9HQn&IYUr~RPd?ajs-U2t>1`TDJ9O8U z_cPDi2CL0X4yQu^+3wW2!5xD$iYhY-9=x7}P9hsq0Qx#QqM-rKJguC56CUK5hp`7H zqZHZvxFaDU(TBF^IJ68av9q&>Jx)uK8j7w?iH>AI{U8O>h4NuNcrVioH9JUyX0Qa! ziLa-ivuZbi;x`La*DiEZvS9c@f&-?gpga}Ma&-o-FAM708A!2vp}b7nyLWF3G!&iV zh#cexmT%Vu#V0ULL9^C}@?11j28|GQ^nqZ`0uic_c}W)TAPM~vDi{}W;r;Q^kzPED z#*XgQQFa%i0K{un#qh0d2jj-ZP(w z7)%h1CK<|s2%}pvJ9J!M=&H-y9ShHUyLhBA{=yE;^|!SG^2Az2klVUIx6nDO>oG0< zCEM&N0#YNMo3^sb?kiL5!5VcD3O=U+L;#8mr+v4~L&|LrP7sQC<#}{9Vc%cHW7lT7 zDz+3fgwu%$smVf|kJhLd6NZ!MeVu`60$QsJD;H1eje249z@s$l$nx}TF{y`*j`dn^j>x=ID=i=x5vXl3j!-D zyVsb$NkYcm_x<}5B;P!P9HldP0?wncXf0D9_Jr5>4G!*MO-N2c5x&7P`%rvBPd60G zKM|UIAMb@*fpe@w|4uIm)N$;Pph+!*#n;>nVdv3Or5!IO?0&r8Rs{hxe6$)`c(MUo z1+6>8TG7`Xf)@Ca>F(XGp*x3DN@lUo#@M)VtXI-Z$4zmZzASubzRS3&K3Q^Gp&gr| zBcskm38$h6Qjgs#Q{y%MwBO#w=6Rk}V4#@Lq3P*q6Z8T#R8`5snmyMYW&E$y7hsshA`RE#Xj&&}Pb?X5uH-(HLM=5YjY7bql@-L1`kjgL2AP{&W~i|;t*AU!2* zaN4G_#(;Z`#2hdICKgbMH)Ii`m&jZhqOv4Mc7ARSLGm)&j9>I#MR#}i22@sBzkVI7 z;%l#eVew^GI&_oC(2iMmaxm^fNwgc)kET@3r?|JiA3x$y+2lxD1-ufABf4}ZvAcs> zsjR02Xk2;+xe~4>)2zKH{nD7J{s-2Bp}rzK)r8vDS|`dwrnP%xB(!@sfcCBLV1$ zi!FYEnR(@Sf*dPqh6%voHF$(REXp{J137pkwtjrTahhN)atJS>CF|PNs{>ljwOJ5E z;h$wwR{Xkg^JX7}*I77<8u@l6?&!$u*zr&_+9Mv#nz2mh!atGDF=gEo+H4B3-i^@3 zqJ*pG=79N0kMX<>SXUF2T?XVQN&xu6NB}pgdK8BN0ProqD&_laFwW`|#2xY8`yn4s zgn$9H)n})3shd?YmV+i5Q4ip%#>>0&f{nk!6;2OvvQIAQvR1qi+WybDQ zWffGjW@cuRki_CdxRGlr>?|gtmGv2nO;YrEUXa$qN^7Ha~Z|(Ci9;OMp0g*;C zx4VLJD_Gd>%1}9F-IZfNHjM^Ezk{DMVj_jz zTiO_z)B(WjP}EH>)8mL-eD8TwCh-qAtUoca$Y*}b=FN{mTBxAB)_LOoR}jczAOfBwvEK^?tN}C+OM;kaW_A{s z4Cl`9t7Lh9o^|KVs!3vP&~nkvf6Os&jz&||u}i%f4*E*U^Y9Hp4I8>1pnOQ*vR)i$ zRRJY`0*D~{S0+0SXRFe%qm#2LN<Xp3A5%Gb~sx1Y1b1nAK3~M35oe|brpo~yf zp2vM;UH<+W%(bq55s8@SW3WT(Tuu3DsXln26)RSdS!U=3829CC`-JXJW1wl+n27S- zvOsgIa}0;jjN;xC;Ruv7Igho=Lcuy8CXSGnDNEU~X;Tx@T=9a8@cL@G3}O{*nlC=^ zJ7^X#33)DPRo-Wgfzw1bsoF`EpVS8_Q#K4HA46#h>gSH27xR4MwF)Ewz>m7nlLABl z*t?*?yS2o#q{;1Rl}O^GNPYE)B?hKDu@RT{_qCK1br{nN&TQV zM;~#`%1%(3z`zZ?Vvfa^OWeKgQ@@@-zoLy(YLIn)x~Ew7h^Jz@ zDSEJGpws9B)bk~SX6leR=vD?FHPYHFv5k%{g**e!)Ponl4mSeYkYVM`>lgUJQAcL>hr7BWpV_{V!(3t>f zcVkLnyX&w}XEqA&KVfo8JkF~Q_D`s<@yOi!TNuG9Q`SWN_8h+yo^wPsEk$I0 zEU2|lb|WaCCve*w3-?mA?T`|uAPH!M^D`rIHj|Uex^`zwF?A0x>LnWwQ#_7|33y7M zVKS_WpiqvXR}knBkJ>`!9qch{iiB}I?5mg-p{@=1hJX+Q+h~AM{VW(RPDWA$++fL- z--B?`05yWPw)QyCrb7y^3Bv9J7bmBk?d<@&i03IlX&kFd`O(w}UvGjcmpwWu2=s@e zN`tE`&!up=etv+ya&+8$J;Wd`CT5HPmW@DL&e>lT2~?AO>(-g9SEe8GBjo#^TXte? z>_AK){wWf7>w!^6kNB)~2+A69EkJMC3)2Q^;1MIg=RvDr^i^nsBxw)sG8>VhT(J{( zZ;HmHEKF;tNb~cA^CNjYAnoul@B~SKfro9gRCYB!)=5-gj1j-pcUNT($=xA%Ec@&! zlA$hgoWy(tfIh@xpWUu77q0T|XC7^kkv@j2m*wEQ4K-aH)=e4y5?~V0$k5L7c|KCa znW-sbY>ljIU6~I0{L`U}Q$j!99>~zDrhjAfnTnOwutCF-H#5!zEELaAe9-{H+=E`# zNGL&-mEXL6ZQeKufCrb-ygu?)E}77T$9}&ykmRx?0%7DEB9Ml49FPVOUm6tD4aj8r zVHyNvXv9ctP+aqA>X>c!Syr9G+!1%!AQ{{Rphq%)7fgBDfFvFAe%eenLdYNuG_oCt8BIztNkJ6j$f@1qSvD}41sOA@xyRyO>h-0c`Z}Far*nw1r;O2 zIFC+*EL;<2)@B^DB1*(l2kBk(aN+NJRaMVn>$Y-vyum$!8%YuLTyO(sP1Aw+xWK+Y9u-s0$alaar-{qMdw9!a zcevgbyfX_H#n+u0YT~ommxQ{Jw}}CjljB;EcDtbOu5C(CP>_qOs~LiG7B-9^0|KHl zKH^a@KQa=)kM~jj;uUBy4MVU&5MDDu7h_nL;CM?G8j`k6EFgWWXyy{A_$ha zz8T7{ePlExCWW{_NJPAa_55-4M^;4~&pG$t*vZqUPmkk)^39q^>vw9+wu8)CziDa% z9-{{?1&^fAuw!0ip_#jB#^5&`YdJT+lRFp~Rd7jIQ3NNwuNFd36rp##?NEY<$DG_Q!(}bZYvih3)1VR4pL|3a%$}%D7 zEir~5j-(R!h<*SGI}C*?cL9H(0k(a7bW{Put+X*Y11-0j@CSJ{dpD1%LFND; zLj%m!3`D7KNfDgHp|HQAJUtHKsKx*~bB923f1c0}M2!x9r6mOotje8MjXtRg=xpW2 z47hxtB*J_MW0nPBM<7va1ilO$Q z2;9st$Ne+U#Ou~G&tg_v@~U-PKLIHiBXi_I?HUm*o-k_&L_2M-7UbnIR$ktK!fRyp=w!p^$gU)tvFwpb1Dam zG_m#N(=T5?{`+?w%x_oE)7Z-SMbY39Tc7cMG5Fc37rm6D-tp%!KJZ2L7i+(Ax)~V##(DvJi zp%kT;@^}bcN}wIxV9x`gmr3PxE5R7Wlk5`XDWP9d^vTgbrNkn#Mp~a zPO9n$`(F=z0&Sh2`osB^i$@lwou~Se)3cCv695+0Yl4&V6nlOz?!Ioewte-1$K7YQnf9s(}iasqt*}nl;INi@F~mos-9X4Smh4v*dXs ziwY2O_n%nYG3ZP4-KK4@H#6}4-~yNiNNNjGz8?d2O;$eb>W1`@%wU%d(0LQr zm$bO}eJ7?4;l4td1s1M>MKgxH8M0u&YY=yT5^fr3xDf!TpCnjZQ$}QLut7y2ukEi#0omQ;pu*rR&L&Sxjp!@8 zkBA+!Xvrd+S3!fZ6`4mJFBK$#jM6-05t$&d0#coEU&r-?%v%we`HAtrMGk|HkfEp& z>a{0{My_784oHiXp=2GY8+O#`!nD{jWMmvL$kvLBz5vxuNzNYJ~HQpWfrn( z@>s;4g%EYgxMX)XH*T03uj6WJN8~VE%Wv6lX6XO=05kjKF|;%S>R8#J383X-ZC<-4Ui@lv4_a*UM;3UGp_SYu{nNK)^%xFWc z83%|^((t>6T*f^}qQ?5uOYUv2NBR>~pV0|NgQ`NK@rrisJR5P4gcs?!g1GvJhme2f zgF7O&R%5y!i2#-<71K@YQDo`E0uua3Kx7dHRSQ+VINIMc2ZJCy48+?t$PG<#(lH`f z6BcbY(1fFHm0|3*kQV1<&kCgMY1YED}%@}NGr{Gbnt(wU@Z=3E$W zRrgI-l;-wg4h-%-jwFx{*X)qy^!4^8B1@DTuo<+3&GWwfMGg~MG_!zo_l>KAs$s)j5UfK544|W6If)Sqqy6iy~ zlyA6&)-n?`2N4WIQb`heFgDu+K2-7SmP!0;A~XjW(4&UMP6yAxsX>pav5R$Z+a_pe z#2DLX;x-Y`Gi}QzE*8l@or&I*56K`XdK5PVQg}YY9;`OXdy} zRJXLzw$=##6@7(U!xB29(8#w0cfmz+#M`U5*X&9|mH0+t649z>Q| z(DL}?iq6vUxBEPQBKaXDAe0F#xIIllFJROPbH&#xPjv9VKyj^QL&)c=E}&)zm6Fkx zAZmw%S_zZtSQX=aHts#4Msf)_sK&>S_Y=Tc!^(u#1&RJh9PWNZDar=qJKp~kA)lxF)FL9L9inkQ{%X(^ z*QvZ})hd$Ql0;w^a&~gtSX~q-Nl^@brXHO*w0xc+ zwgb>uB|yJ#9$1qp8}$Sbg1F7Xr=N|O-6viY?+WgV&^t)}Egl))x_Q$SxVyfgfu~$W zREpKBT)ci>Uue_tmmE1_HLMz0-rMVO+!EuYgE=i(7?rQv6~6e))=0)P5nqTP*7#u8 zUn5L?uS~HASOOLIxv2~ZF|nUu^LcP`YOcuS)C7t3)U1B1=x$x3-#xf#-8ypM`@zMHWA|NP zOnU@uVg>p6cPjRP?a?KqAF!~L{I%dTjcn9IK%d~K4@cR{A=Ah1*mFB zPDpBCEtuM2f#I~WGI!yXjnNNI=qU|IW-OYY$02Jw*zDV3S#&@Lh>g^LGfrUUi)NPb z6GA>$y>tSKu1MN;MMzADO|zhnRB3K)*d0%P699q_Z93T`WceUUV;?jhjvk7Fwe+sp z=XN2>g>;!`VQI0*NZ{(-YV zpso*+zQCF3IZ@@{=-7nM>4i6e*My&(L8%1Po_^M2OLr@UDcsg!q$={@m%+S0xq2QW#U+Yo#yhX|uC!9xrVvh&aBU|Uu z4~wd|-iMoH#09`A`Lzcz*@5GkzY&A`@S7WA2-!&rZtOaR#yR<0(A4Ee5VVA@Yrk(N zXuk1Zzr1;E*X!ukca9>$WPy{A$hiU%Hqp;dF6;3E60lxi(LnLawA^1KBQ>!9enf5y z%dIHPw6E=JwA7S;_`PsE9}beM{{|`k@W3mR+BR`jD4xB)#71;u$#C%-ck{An)H%-a zA=E2_T_K>XN<4Y|F{YE5lcG=6@M#{Cm1CZ5-iJ}LK}ktwpO8x|LRbw_KZ&r8ctln~ z<4=!E*?3Nh3oUC(R6GL;$aqX#Ze7V4F7IB6Dgqo3gC8*~9wJb#$_(hB4o<5NaCJ*^ zsTdy$zf~cuVM8t1M_V@3V>yyAdd9`s*@QS-(97|?^uM2nSpwjxBC|T^bEfF_0B8}e z&w4iYn3Ds_$p?9TKMd372N_BLqEDUxO5%kx2trx1hSkQ>cIa%xt|lYimc@&>Ai2PC zG$w)~cbRL59q@=rRV>FqF>9dfiBwUOil+wD{Zc%*!HMPK>B1A7*a#NUk} zsvvl9ll7aize3uWQAmoEiopp<@TIEoiEp^gMh+vDCFOUl35o~qnS_1-zuW|jP>&IyoOUggTYS5q{ajFdBv!~Hv6z$IEs4l>bEz^Ywjjf z_Q-Fj(J$>IM+OAI5^0VwRCM|KRTS&1Nd}JUuSTHpjS<0f@QcVW`A+o{!3Kfy9*|&` zmsR5k+k;}{l`|cfZ+^ZYj4^2mm;u;y;PlPU>(7x2YpPZrfz~bDh9$sv;DYH}>TguY zf&c?sQ1^hZ8DDGrkctpWpU~SLXrU&$4xbL4$D&sZ_MOtVg-XKS+Pa4Pwi=ATO91T4 zddO-3H$(6oQS7KkDpfz_K$hYI3RV$NH4Qu!0Rg+x5jn(&NCKn5c!yz5aU1FQk7dZn zHUcw023fTG1iu-k+LdhsqY%eMJlCPzl&4Wh_L(Pe=j#fEt37woE2i{?Q0=57FrYtRs6! z#L29OW(5@@0GK5$60l|`TS?KI(telbVWvdOpd$3!wq6o$#v~~d&_ei4Ooe^;rAQb- zi6cRZ*I;#sPap%TNM;iFq{Z8~8+C5N_>+tYG?P_pejFla9Xu3Me{boz$P@P;Fc9J7%z$ZhMy|qcche$9?>M!K0&4F;A}k9TU|Z-lz>ST<&t4pe8m{wm4m(e z)a^okeFL!o0BdOnJ}$y6;eiA%yrd9G2BB(T36@+1Z_wu+4K5xzFIH+SO6`rM@JO0=f zD4kX9*<%j1O$%WOYaW6B+9mfAQ~*(faZ6~wn26X7r}o0E>0`GML$=rd$J2R$bKSph zU+Zq~iFO*aNug3{Aq^VRHX~_ki=rtFQK8a6q(ys3A);lbs3et@q^x8-udC*o9YeBSTtIt#AZ?8Z{ObYk3CMN#HOImPA7)MHxU2Ju`} zeKz>T*A?4TZ0V*;205$qvtmjs#QP$&<^L0Noa<_(vTxb4Wg2vmSZIo7*?m8M#ua5U zRPf^5H0WNb&Lr@UEaYlXgr}M5|LwDk#j_!;##^*e3ngcTFsb?FT}?`#G^+c2?nNo( z-jvQyQAF%PZ@2ij;@X(9w(fAP_5pa{A3B@{xzt3A)H_)_7V_Wz<2I<_rYiRwqJ7HW zqP=6?3-&7re@q*7@rMT&nWQiepW10n`{PS+YEs=ioJHTa)LIdSGiJGMh^QdpL8v=3SZ-Z?j|S!!yCzTZQIk%E)47&?Q|PrlO*f@gW*= zb86vo`;B3{QwXeu%Bvrqqh8V3Ub&`*Ih`OT5>2>Iah3JB=!1mjKnTBiBy6#({fo!; z26m%g6bMCn+hL((IY^MjoafaK%Y~z7ibpD>;3$U-1P|Xyvg_uq!psAsZq=$5WF?^u z;95x3n)m*`8QS}q$?IH-$pW1C6uCyyQC%$k{hhCZ8jj1Dey zZLKS!M3=Y%zfr5DE+~V<37-~GK4L@OELlnQ%10xvpUc9!|D@jIv1Txc5;@E~Tx)fl z8#k0JF@wV|3h*tnM|LUwM6zf2?-H@|Nhqca&-c+-UJ4=j1}Gn=<e891H5(cA;lPFzqD@YaciE<85FyEdDaDWe zN@UpE-@5MMy%TT=f}aSOvjxfiR{0LD-3l^-feQf)C3(%X#TXnSJTfmsxk2=wzkiiS z6^nCJf*oE;JI3gq4xQfB*f}n1`)?0yyam+6m%;H8=lygm`G)^g2(PH;X0BU_y$=8V zG#o;Mbs4Z$$N?eC=gjq3HI6wj>9AG*pe{sbI&O}9ZjWbLOCt?|t8lsUXO=1F`xbQR zDWWt|w=KumLFk;>$D1t!P>`PVW?-g)vMX4$%EDRNa zQVzGMu;Pdcce+9LlKL8R-er_nF$KOm_@)*GZ!F_+$Uej3TeYj;#N<LyA>`*)ns8 z==Lp!KwYhrmnN09*2a@1Q=STVC+Uk5OkM`#S^Oqk714+wCfa?RTKgbIT^LFTWO9yMVX; zFL81*XNYVjNuAlGStDHi`gzT%AM=VV0_QE<9-2b22=WLkD2Bd z<6xdsl*uxLe`}Orc4R#wU#E{u^P1a{vK|AzzPj_cwdXF$Pz)j5Wv+q=8g|>ZGT&8J zGWMHsY5=l}7sykZcqwfs6K?yHNrOgj43-WA*_p+weny-bz;8QBTGIy<9V|O_`g9=g zUdCCCp6BU0gULuYd1s&VF4aw`Q*NRJpCyQj~)#C z3tL}iFqNXGFPLsnr)l9@o$8>`WP0o~YB(85MhlV}rM7gC0HRM2Q4BallP7&4=E|lZ z0EH)kL^db#WLXCq_IsX6YZA?Iq-sO9EXv4_a8kPr?BBPKnMIT2n@fKg*YKIl0fFKP z8aUvMXTbR8Uc0C@ODVrz(B4B?czZe)8u>j|U%n zyX4mhhr&2(0(&qW0E)j`V?*!v?r8K&wcDcuK`6=SC80=c(5H&7aV@bfaasNvj*B*` zHOm1jg!1rA=cWmH4vDk@Z>ofozbuIgpopnrGfw}I37_XUjDu@Doh&{!H0R;g`_g~{ zj_?=@F3nMmaQZvaKg6^{+3I}UhR}^yxXM#Kl&r_>q^jQ|whVyNC4PX(+{~K|QTplOnws{=23R2<)~H$Ke%``FVE1(nw~{#YustbzHwb zg@4!Ox%jvQStMDsyVgG_@)ooqGF6f^o`~m2jI5l8LP?Lv?&9C`D?1jo_K)M!jX$tQ zJv^kSF-3kmrPQ$d+TEDYFUC7~LBkj7MF)-?>N0ukU0JLtXb}9C4)%+?+e#pEC^I$| zKiYneO=Iu!T-O8aY+ZY5V#S8zJQ3^|dy$VRz;+c4C#aW~aBL=WqLk|`E_*sTAMCTT zRf0jUIg?Mv_AAh;9|=i7a9S#f7f$@nmYL`l2q*oG3yp?s-@aW!rVhpQ6(({C&rdgt z!~Kpo9Wv)hY1qYNUE9oDbGj0INw>BsD`lx*72^ZD#C5t6wqqlu$Oev$bOQKk7c*Y_ z9H+mE=|7ZrrsC@<`0~ZeVpm?U@dfF!;k|fRzp*67X|-jQVd=4%x?$RPh)JnUT=B+^+EvA%o(&AyF8Kcal*Pqd_o2pz zpTEgDQC7T`3Aj~n7Ou7=g#(x>$)DcWjL+40rO#!57v|tQ7unn zM0LOjMOqp$*}63;w_};>b%Lw|cMK`hlozIyqqBKzUDv!2+;+mQ$dh`+Xz(fH`lfa6 zpGrr$=%BYGm~K3B7cYxFrEVDr`+qbwSmHdBu|~Yv0*Nb@dYDijmD{fq78Hs_k((o` z^A*!;XOilFhQX1#ZZIQ%lAJqS`{D20oClvutS=B#`lX?%oWR`hniqb^r|?+47AiXnpkt3vBrLC*PZ{39~FcGZ=dkz({6GGvI< zdUGZ>KWC~zrBu}?|wq;&T@}XwZzG8 z{eISs9ZUN3?tReyw8Z`Wd)t&SviP5kp8)%hC1Vh%BV8b|)4vcZ^8gID@SIX-`FyU* zYoAQTT<0qfPxbz;*V`XjBeeC--dRrVn%H=HeY83dS8&Y+tl`K*)v@o9Bvv%5;dO z-1R`|VL<*b!A{Ttui|EbNN zt}z!8bq2FB@a5x3uPCP-a5K1#7a^O@9 zLKg)wv`xhsa~A0Q573hHOpFw6{kTBB7KYkm-YhDj*?ejdg2fFZx-BA~4vPx~Tzl5^ zTsyp1Kp$V{GuLb1l}7NA>AZMu+xh8cNAB7UpPXv`wlrfbW|zaIOaC(-*Ett`a2!9! z>~G_r#cg^I*tfHtnp&4GZu^>8T-m*Q|CLbt^Ka{YTW~VeVpHz@T{|P}Ew5hfW`Aej z?#a;=6^$eB4ehfkG`hv>T>nkln`}O=kGq%qF*jzt7VRqZY8)c4CG10VPj_79a61Em zB*Y}-BzfN2Pg5FX!hkC;{Kt)>)yy%d&*z*n%d;=G5@>DQy-l0PM1+AU@92?x z%*jfam^3bt&+ifPT4f7z7DeTNcl*la7;E}aZ4s-4sHl7*$EV%xS)NS!6{F4>S#EJgFnQ^4$#P{zPy{qS9^q}t2XzdH<&vR=h`uh5+ zEqs}8xqSC+;ME>d^{gKiK;jq22P;Fh$tdB0JFB?p+GL-I*5mQGM{~whog zfK_g)`rsbMr2M-$XDB2*xdAzxgDyRKyr!5M5c%>&^`OeW`bW+@4RNjn5N7kmYS%=} ztBU;#-XJPwn}+!7R+XhMC4q!$;KYSw+nfgI1r)c7|5&`ig#7k^V_h?@6-jT<)} z+`r#=$+hMYSNt#Ka6f`gLbO<@(jxLsUY;#f^a)V|_8Y(E{jUd}DDAY|zI_bHqY{8P zz&SKz^xf3(cleMYhfwCMuw;3u7F%WLl#;`7Qy<*3XU}^c zc>2|H(?rj*Oo3f zGHM}V{QG)mx=(yho=klHeA>Ili~L=imEGIDdw0^CH^*UqFE6;IhCv{XOXg{`Fe8lp z(NKAww{PDD)}M|27-i;BH5!|2KZc&ZgsUi_>dXbZPz;!Ty@T_9gRh_84eYmDZ(aUN#ga2G5{Ec9C7EB0j2uTr^pYT}_7y8?E^mZjH=P6nW%NqL0Pm-FP*BjIS!Wf5 zsCl@=KlAUn-V^RGn?Jux^9}>XD=RA>SDSkPE%ncrCX?qq9Ird7Y|~wu!0~Aer~Slo z(rFdwT_g5eTE9%DBSMa?=+_sON=hS7fKlvKHu`F{%~7!={$4S2>>5CD%gk@AzO?(2GWVq?DgfZz}PS9oO+!ZrHf-8$Z1Z*N6iCItlII zfddv~JnzN|PDj1GV!nK_nipcSn|jwcAuaM2>_jqe6N^*A&7xS=t<7h69F?hBpX~*W z(;;e-U%vE!o9<~)OSi>k;|u>0iC_IAH(xDHA$*)vA$uD&}o2O5o4kIwb)2?+n zvHuHdc);&dcC+sf9z1vp#7N-mZF~^Uz$NuUDu=m1sS%P@Oh?y0sHAy-2;A3aq!S|S z=~b&%CD`7-uVLo26m@MJ$TSwc#_nR&Rtu2R2%3AQ>`v>hyZsrj>IS0uDHiaU%%ja{ z!TkAF&u(9PO+1Mq6o-j#Ze!rvTlSq%#J#QdK&RVaCi(+^usma1dV22(TRR>1^-X}W z`}cD+mbV&8SVVJGEu0XLU0dzx>FK2$xV78HWy^XJPQ22=w|n`d*6Y@(AM^Bl3uY0g zsrJ?89`mX`0b6~!yquzW^%r=`C}Y@K@5Zwh-^Q=TmGWa`Pd}gXHAQ)OCwtkwrnZ4; zS*SjIxUo(|ZO}}onIRz|%pralyCI7D_By4(2n`KO%p>#Z2D0w7hkmI&E358*0~*T^ zT9nz)r2m+TaF84H9s)kL5W3+d@X4mjmG~CP>CO-w^v0{w^q_gW2jH$F0nt~Tl7&49WvX$jtHOsG5M1>7BW|{Iu5EU6P$2<#ND?tjFQ#)(7=)tL%FI!i7JdpEmE; zuir1Oynl;SLXW}1g$vP;{J4uYe3`ejo_xJKWX$g!s_g=nPbm0rQpA7Pi6KgTa$zp6 zG%Q&9n2)5*)e$6}pKUtRpm~cHbKdM`-bM1$r@Q&Z=R-pW3L&q)MaidpSn9Q<zS(BRe{JneHR6%h-;$hm_KByi+uC5Ju&Wc^Tz94LBz*H)A z>-hO~pz}Uvj*pZm4_oSK^q|wCMT_P$s?bCA5q)9v+70%!yV3bT2i5Z_7p|dWn#01% z+s4r4C(XErm=NU+oU+Cy>UF9U&~7<`DbeG((L0;qLUigSaBn-YSj`EUQ(9g=FJmvC zDUo;!e750>+1lBKq-S2nbhaDHDu@!()2R-R1esh5(tjEq0QllhTV;&Z3p6nfG%10P zd1G@+!-Er;$h+e|`Ub&2;t*jx3|&}|1QflUjZM&rC;6ZdyA>-Eh}Ejr80TfhqYu4i zw1>HXlr4ETw)XbVg+6k>mF9%c;WIza%WQ)P-}N1D$-Cx`vNoXDK@93ygWaww|fWGC@$zas+|OTwq(zzs-XePq>u9x%ocC) znk+Cg%P)=2gA}o|wS7ie7#kDw6RHkO7dhpzH1(G7zd#=!MJ{t5*DP%Dbeo5_5n0E3 z8$K1BrmpS@;JpBI6)SpT-DzIK=aa)Ny^7A4CQ;(s+1bhD@!ybU)NrR3-Cn5(^B9eI zs@|*DPK;HGHfiiEb{7Td!GqB}EiGb7;EmbUqbd38LVGob5e5|~@ zJpIw5N8>%PF4*{IJ;`2?m_WBl?r%KCNm|Es|Mk3^&@cW3iOuTLm!OP(yncE?nqn^x zrw6$d`+WCS$%l21TJg>Ev$K!(a_L-Ww0X1Edb}sS{I(bx9#A(4Zk39^(K|b9XKIAP zX%$)-V$cs(czw9He($__^Ga!2d22YWW^7*6^np%Gc8aszD19jeX1ic+%EBC{b9hMiL#KtH;Hr1AL6l?rs}?bzd5?6 zU`%wmjvpK=;rna-Feah1%@dvsqXr`&8%W@C!2Yva=_kgZ1s1 zR-t;1)Ea~_vA9BKXX0m%~sR#in}wfn>T>IdK?ooNkY3| zFAm@NFI)d?o;0I#aiG8Fkt2_R>1s_IfXOc2^x(E-1Dm$6EXbq6YWJs~_Ozua4jwe< zE-7~AM$eE2W$@@njhd%&f8q!adEZ}+sfz)NvRi1$)rEIvTo_Yx>td@^;^H^K?#?Ah9SF$G=EUA3A2t zDK5csTU*;bZ65)wQiz4{*2j+ib~bQwJ;ZAOCwd>1X37N%7N|9CoHoIbXU=Kx%8tGI zyxx+PD+fu{EH0JH7unyZdgaQMcO(SCO_C4*^cpLtPhC+rAvdRZTul~YyCq7AdP859 z4W2a&JP-XCo7~085dl~586}i|bp+^f}ZB8b>yJw+uOr)m>uI* zenRKj%shC{b^&#rF;@f$zQ`DW9S@i3~`PxlfoD>vh9 zFpK|rHE3q*@qz?MFL^ZifB*G~2`Iy-U7(9(5VUR3=@Od6G~r233Aeg=ncNIHqnt4h zhh}nxnEnFV(T>(XtBWzAn+Fq<);-<+9rwfgFw4e#n<%8E0gA;pWG+BrW~QH-x1rfZ z|Bqak{I6f1Qn6aU9Xr{7yPATpj-wj)`ZW=3EkT3&NDGV`hk4QZPu9!aVbm~K4o+i3 ztBei^T7gCvWEg0&Znsq{v}2I3%Whll24LTs(i@mCpl?~K{Wvt(2C4285ceA_K=1J`GxXz zagw?7%1nb?%8Il6!LeT{pKrjEn-fBOGv`)hjNy{h+^$ zY*&`s*|=uSFnm;J>_&Ify~86J4wngJ{N3Y`4ZIG^N6Jkv&;1tgs9(GG?agSg zy8qw-IoX%Bw3GLwi#HL=>v=!Fg~yvIK)FtuHtl(fZT{0%ovRx{9OuMZ5+v$=YWZwj zZF1)|FghjEr>p<3?C8cGDkuE!mw$|OmLlUP%$?F#vwWSJ2Q7M*b~5mYf!o9D2RBlmDWkxG8jC*onbg45}07^ufY zlGx!5TwgeExm2h{8YnGHZ%twO1lQ#(3SmslN;t5_^Yjvl7brU{E^PopACEq3zG_t~ z!oe426g*#E633l)LuY#&6;+>QJ^C|d?74DfFcMV~79@~V8`Aa^z`+_qK6$bMj8+2$ zwqaZV=Pl4}@Zo6xncdkH-jEf2Q)$^&P~aj?B?N}i5;TG_?^Fj36=Gsy&QhstuB#o3 z-|h0t70$!eyql>Q-?TM8*j2k7jMQ!b7@x78f{l$0p8@-DLzW834?wqGoM@#4iSc(Kci?zIDmx}H1NOTV|K=G-mx8_fL4fS;2mPue~l6}sqR-M%;X z8^?4G{ExoY0(+j>%tP$6YgA>2jU3pCx5cyw z#~zthK#W|Tb#9mXifuqX+K>)&U%wF-yqzCVVo4!4uq>^y)bKE>vMrI`ShcSZ!OMZF z^N~sgbrbBB-aU6Te-pp-&xQ4~>TXkzJ%>RECmJT0xPvT&@blT~9?RU62|ZuV>2 zpZPFcWV(3bx~esS*a~aeeB3J5c4_3;cMK7Xu7~EM`R_M_D9((t$R(Gv6E&#(IclT*Q zJD%0{Dfn+As@3>2t?v>_kHO1FthESEgvmflJ(V;W=BwDl4*tD?`Cr@@EPNh75 z?#`)rHf->~e*N}vJOsC>ESCr*vgRaFzmLL4=MOHNA!8?|D#6Ep`R0Vs6B(E^U4?^Zh-pf7Q z38z=o>0b2m>HtH0g!*XE+)Ev(DPO=8BGC><2iA$${VA6gi1pT{E~SMFYieqw=E6XD z=J@gBWAI~jvJdH2P#Bk%<}KFLbq=NORS!Je-7T@ZNqM-6Whs41zETjs#U(~fKI-|* z4@&@>v_(xAIB*~{Z(Ml-pQw7+o;??HQsLaje^01PxPRt8c|)9!DrSZT2H8{~QizVJ zgdHGq9F;GDlmF7of`W&UD}>>Xh96ByP4$Y6jeT)u>}Y01L^JbZfQR>x5d~yi#R6@N z(75s3A%vCoM?AY}Tt>C4HY(iBts%PRPJ&7L+g*ci7-t=Erb7(7qOaA0pK~~Mm@pvM|eneU$zAHFlLj?a_VNs-sAhnGq!as7y zb@|oWp;$_v(oveoQ%0sYpEYaN@mKceY8OXtEjs|^uOhqDl3AIRqvdn^>t~do@b4=R zmdfz&(eB$PkSrv}*;!abfz{W73R|>lWkcq>VWi;uXrg9~^Tlzwgf=-F#N7TbU%UWZ zJrzaBfp>AX_l?Tl{l{L%5#WVOkgH$>!); zjR}`~Iag$io@faRbeq?-QBrC~H{XbrZ+{+(bN*X2>f!c3?IdxMWsEsfj3_6dDRK&z z-n(6A#1AHsln_ZPtEwzmq^ID5$I%=SmO{O4znNzaB3Ua4(~=l8U776}%lM;&T$O(P zdK0l(wv(8!rMjc%tdKc`{HdIjPlbi<__m_oyy--zkgLCckI$b!O9E$eM>b!Z;&lL< zI~wvC9ZaFQPwRB#3{T|K9X)mGAks%Rgy7H8(n(Yp#;`gF%?-#9Qvf?{+O<1hq~^R4 zZdH$)+oog3MjUNf^rf}smkO#;MSOawvmepLmHYkbW;cad^hjW4iOR@OBDwFvWO+N( zOEoYc!0OK}A7f+V>$h+JcVy%1(vp%1j02nnQX1n_)d6-^%D7KozPK@3&Gz1HpTqZ0 zx2Zc+wdK$2Ns}j=qt#T>NFu)<=b}6lJT(bQ8y4H1s0-zkOHR7Eu!plV6zfwU`7(QZ zcT61vwNHjeRs8n1yX8K9HK^216d&Djtpg%+tMNGs=^Z|)u=vcTc`MUv2P+z+n^)I;Or|tv z*>7(SIG=GMaopU>%8lEYO-+4LdwoB(d6%2?yt4QC^XJWJl-I*faQyXn=Tl?1b%KK2 z1wNJ$UPT4l=b>FphN0%Ux?t}5Ot_&rq@IO^#TsOvw;37r6*$Ch;N{Qc_cfa~?S<3b zK{G-ZW#z*6d5PD}qkrP`;>j-x*#_om(W1p!laQZ3K8)shHR5wc6Qhrk6&*~?E(R3a z^&p2sOZ*34*P{EFE+{2W`Pn~9^Jl|0Hziu>&6(2yug5jhvBd@DD6E-XVE8`gIpT^!sr?)o`G-4k0{D73{xk>EsaATOhb$ToHXnxffEQeH?An%^DoreSd-y3A zc;s4}fA(as&LPCzAFY?4ZBnu+AaW>O3`#g%1tRNePn_{#$L|Yf&3n{cnVIZ7j$c0! zA_$>r7Y<%?(k6qZ6GOMn3p)F>Rs9mhn7BAl*UR;5)+}T2%4WJ%Jnb&*#20;*2P`QU zyMe}l0sHutU&#iy%p4+cj>UtFgydzOV#w{#-)6$Ef|58Q?o;l$yElh35CO@0<_6D) z&UL!nt(Uwc)v;Ia-~AE1Bw{O4-nn0!s?KCV93C}NHa4xhQ<2FNpW#|Aso}S%1f@cxxa#=_ksyB;qBeptUwC67!sl?y=BID z1ROmgb3T8b4|XG&=Gf1hnRlw{O<~Mz^!~!t`?531-b&{@18c z();(PczNd-z~;HO5`wsz&egYIMCQb}5s?>MEgE;BdoSl-Uz!T@M{R%9XklkT$^SKM zI6$KjCAKzBRT)!j)vL4fjIo(}zx2=aKRh*c;GE#cz{Uvs&}9EyfTs|J^MYsXM820W zAKoAeMhIjum9G7L2=j?=ZKn4KzGL2gm(hbEq=hL0264}+`Xh~EN_i^$@8+3=I@IQ8 zKnb%fHC;a{o0N(s0k4xO(dOXPttHLZTSkm>K(HQxZo>Pvgx-O1MT(< zzP@1bSzVf_XaaSG51o^cvbtW`x0lMNS9qnh-b6kz$2Ts}I3puNoe(m7`0(nlCzje; zT25s66D6n*2kCrZVBpFd<*hlGhanJq8c0cj-tgDz@t?H{nNrm_RqlXm6D|d8p-u%z zad`p3N=A(~WGur{z}#r} zLG72uVjfO_#2zqhP-;aWa5^zLnI)8Oz99IHIFx^5X5TQ7#R%cZFspi`E2 zZ|^(Wd(`ASjqE?+{vng4!_W$C_}5CG+Hi5~vl`95!#gzhQdQlGS`?FV+h(zD5Na=PsJ9r*FjxRCQ7C z7tZal^~>yv0B(7x)-PRuEGGqx{dVU5SWA74=}svYs)KM|BlE4juYN;`fS#z?hH4kwRF_n$qKY z;<*M)7}P_hJ=9hESLhp4Kd|`=c=|9>lTfPhH(TAJx=SISkzR8F6P5HOUnk}tq)ddp z(ZYZQq#CFHS*zQVx|sp8$Xmi9!RIOWU1|dsy~+J*(zIzk1#)b6=2A94&}r}ie&96E zyLIDFzcs9hI2#2Qz<(dyZST(axiM|}^trcN?ss=@ z;41=449>W&M=X=7 z(rOmnd~eXRb|-=t9*o2%Pj-sihB(dfc?tMg%faWMFBjq(KF@6QU&V(zY8Lz{CTt!t z%JjUG@3!+QjIv!;wd5QarT%Tvy0xii5fhXGhkY9AMWMUnPZ8dsy&q9gNdviU{^K`)h<9MBH$j~4jD)9$qa#b^$kp;v`Rm*KnKym^z5;Z%}^y(~UN zc_-0QtUik#ZXS*|=rMOD3C0N8V7B^)+sv#CV3k z?lD*dY(Cy%?%Ee*r3+;#NEL5zAa z2&&lzH;xZ<-WR0l*D%Y!@%ov=O46~LAkvbQ>A;V=5s@KJUfHlC=5hF%?ss8g@Q#XfvzcMwrEl}9X<)?;c&&7>l z-F=A%)HfkhdWS&q^D$%>D8_x4s!lHZoRud#AzxS zd?0R&&=*lYx=uPAhgWhb>cJ9MX98 zD^9xfLSXR{_W-26-NTK94&eqVutH0WXfEC&M_-1YJ;>c9&JL7ACD*~w$X3W8l2I|| zd-}#N0>?5-+}nIgKBQD7?hEHz_m?+n7f|Q|E|7;98{03sNiKglA4WtbDEB$ip>9Ui z-tWZNL@Yx*h}YMLmJ4=dO15A}BH1!181Il|pRu!;0+KN6HX4PD^;EfBwOQ@N)s@=k zujT?81hq0$V2)*e6q^ZN@&6_!Bp4dB`pw6XDi5~Hnn^A%CjB`9dpMCvGkrroaec&5 z2OwPsWJ%C1C2D*loO|2%z40ox@&~r3Eab}3XsdXDiEgr#wv`6nVey(kEAC8X9 z9L_D|_xdF_J-;g0^VqRJloC@WPgb?|iAaJ+XoF07;@lbN;s7eA*b&#z+M&GH6S#Cn z`K~3HptdiLkE&WbY;)n8!TkJi8DKfeak?LoFdu3Lv1tv!Pj)+D`*;fhC-@DH@%hj0 zi(AivS~_FCw1OYY_jRSb$tA0vkxKXb+maV_5EgL=G9Dl4AQq?fw;;l_%{m)C}` z(>0H32;^ED<>({I@usZkX?Lu&O>`$u(A~t-6B}lbMw1Oh0mNYH^O+{LlUdS#6l=;K3-ygl8JQl*i1EEg}R%K7}-sru*n+HEKRM1sKGyBo=b`O9{G>ekJq z8`3l-GybM3&62%q_|7+$&ki(6diG4Xt2qf-(Ah8{HX#n%-P(M%H_1B8YgFvmaWcH# z8zutuxmS#xhV8%;@FZp*Yie}EFisp=# zwEjsfE5Qly7VJPFC(9}fTX!-L(*~HjE8|^bgD+N&q59V&$BFQ6@N8<(6=Rkhix$6Kzg1i^f!z&8jgyE=}FI%h1Mvn}CJYUURH z>5FLS!7SD}wY3nQ^MQyc7_(G?0?IIno2yFga9tl1rvQi2OtyJ zDIYFUG{NazI(Q~u@5mY5>`%xB20>SjG5=Oe)&+F^OFKFh#l-gQ+Y{BoICDBT-qcza zIAHo7t7%g|`1Qoo3Xpg=GA^BerHoI_!NGx*Ys>oj7@^#H6<5N%yuY)$2i85atBbS) zBa(O9e|ybF(IZs;=Fl+SU)$lIun@4eQri(gEgJ?%Pgp z--|&`jeo&3N;TNGvKG2vK6P4)ozfB|C+KwK&>C;4cZkUhmJ9_WctXQdlrP zg4ddmT0wLyEK99>VaTKVLO%mW*30Vc+AAwhqv{tPgY%#?yC1XAdi`y)!v=v?=&AU+ zMs0hHGUS?nB@KA5Tb!rzj)DSnSps-KT%Ux4?Qn+Z%8H#j#mZ2Lh6Ti>9BRkS6+afA zHnXprT03A?|CDyy(n4nMB|oK_6m7`lgqqQ3YpwH_b8wQev>vzKK=7G!x<#exJ1i|N zD>*LJU^KIxo=}1uGx{5$x%%TNI)rf*?EaM@_>mJZW<%bQ8MnIWH90phdE7M|rs4Q3 zZia_jaOJ)KKGc~d!;w!`ozYeG)jfa%ju|Uc`K%t7zr*ob@Uqk&)gQDjC!Qes5(?R^8!uX0#%h6EnGvf1aKLCM{16K7->qhs* zIZI!8>a*=L3T9Y3vSF6Uk`y1mABdg}SL9_$DPwr{M{aIKd_`fxmfE8;8x>GQEr+ew zeAK)oSGTs?%FNpy6p$(@zeciZY=SIQLZFJbinYOV=? zOEt%vZu|YMW#g7glbGWh=z1Q^Au4P9!HQf~?a8c>AEpabCRCXQ)rLiGF4=|Xoisn? z4d;Alup6z#HKzbVDa$A;z~Ryu`fC&o^Aq*;$PsXO@2ubqy#n39-ygx~v>?5nw?GtC~HS$U zi4QL@@WO>Y@LusUKPG20yba{kYvC#!EUS?RB!XjTQ!=~z)PGvtHeBYt99FKB$Sjkl zk(jLsiv_i7U=zg01A7AbxQWPr&LCwJ#hy)*eHx zt-1LG5}e!+h7$c)=;P8bf9d`zJ#FXOF?dOzP^_15Kq(JL0r_Kj7RQW~r`P?={^zw6 zgh*E)P4)x$UX`pVaX7PU3A5gs@Q-iLO>E5kd5Yr+W`?3~z_mzvXCGJ}gHuCPwi;#) zAWr$AG|j&K+x_4{E2J!(-qSpeN*7ga_VT=A9PRwPsuRpBd=8>uIO7ymakEjV2#d-; z?-4?0Zs_qTo?1>-g99-g>gt{mKNI7hV#A0;VVv=m^pvWX)lhCIZA)s_%dK*ZZdwqw zoW!IgW5s>5?nLr2F2H@$iy?kh563rEYBdp?V2)RQe5g%hq`oImS1iTSl|;wtj>?}q zB_i`+M;s51cbfJL{=lWu4AmwM#0P}~?+PA{10_hDH~=J1G9E^TT#=YOOGz5@5T0NQYE(>-F&taE7ED<=0?t=V$yyYDHL;%{D=OK^QcKSc@X zGr^wGB{N8rVtOZ;8hbj~G@{5~PW?bT+qtkF)dXwF#TZ)GlOPm7Uc6SZdU0<;7wsic z=FxkS5)uw@PUj>*`{{cdPNwSM_a6fg2=y6%)6E+7S1EJ(erH1RdTBy}U@%a3@C&1T z#8ZVkHnVy2=GOh95xz%+`-WPV?_F88dWr)y(#_kq-^@SZ?dyB#`?f8NLzJjQvGhs0 z8fIt4H!V6zEeJY#OYzrY+u8mqDnI#7+v{p0UKKYv@-Z&mwW^p;7=~x+A#=)NOX%7N zBdB9++#Ix8L*P^3>V=$_=O{`-ohQub!&Nz1a3M$(JSHnJhL$pJ+}N`CReC`Wsd z|7pM$I-kkyk2P<(>Dt@}@lpS6@3XgUj49NS3kN(VHr9gcFl_knCy);eHy*)A^!n&y znCrXI0JIMq`vv+P^XL-d_XiYRDjY+bDCV%{;E^amMai$P(@y&Oe&!s)U^S+Zdl$h% z;W0XB+iu-FU|;$Wx)YXTG_Vb=at;AP+J3mNiIc5`*aYsb$*zytwgFW%vr#)@Bzg*M zSpvszbY_eqBMlyt$ zts|#VOx7K`KfMN+Ez_rvt#bG}h;rj?Z3j?$@212*4{<4P7!}QY_3FcrG>=iy7;$v{ z&YkpMX4|_loC2b#lW5O_WNdL|&r$2hBRO*9hzow4 zrebXDJHE5tzM;!d6Xe07);EHe!nR?-Z4;TB(6OH?%>qqkb6Ej|YP(qh`fU{+Qx%jT zvfqW1sA%}elQM)}s(D);O*1l@MB9ae0<*oNxCu$j7Zb~;g4OkYHOF}W5=gl z&*XRSe6Y*8nw;5Dx7g{Vny(LT6IU7+D4NQiZpZAJGE9b)j3T!*li z_@S>g(UWr&2!CQJ8fQ24h@-KT>P5flxKbD;<$xNzQQ69TkK-GAR^F?@s$Zy zkEWExMB@B99$ev2j-&;d?!B(*t8v#*d;&`tj@yoOA43HwG9Pk~IU&-ArbJP+WlE;^ zPs46=LhA02xChO<+(j0jjEF6`{KG0^_4D-f6Xb~(rQO=-ZR53xK2`Fso08O!DA2DU zHJb?Qm5v)=AI7Gn&@7Xx^@Q@Ce1n%jd)dkOuJ>&JfYynEYe>ZFxgCa|9}22No49%BPA(L# zu)%LAQE0pIKH2Bkv7U?FQ+I9!s6uVq;+7an-@s`u^P(FzEn$p9*M8@a4KhC8P>5&s z!NZp_`VN9K3d=y@%1#xf1`k=%^qT$MwEBECbg6{_f@croHH#>v(_1CXyK+9fwMaH!NGIf7m=a+<-~=J|b?9V^ zCyA>y?Z3N?-u4~NrKe;V5EY>p=j|)Zr}r<~kgpRBn`;?%T@_{*zze(H=Hx+khC_*&& ze_*#Z_Y>Rpdi01+F|h6)DI-Z~^QjYI)S$kbik}#zHT7AC(AM>~ZiOuXiS@yHfwks2 zM^u1@4ClKVLAfk9Se&g7eiK4o^sKq@iZ{Q7*lnHP-KTua#g8^P5koN#X|wes2Ak_z zBrEB_maVEDmz*7;_C*%-UVPBz#mNbHSm6;*aQ5desUWoAaV$t1GN{Ukg1V=g+5tdA z#??Jbv~d_C7*C@|nfW_ml&KFl7AaA88KMfw6y(gg)uzc=H+%Q#^A3nA-EX{`IYIr8 z+3ma!D(1>O#i`_RB`hF)&Jo4Y0jbWR&i!d$F_)gid^adV84M*z@pRscst3u9-@$h; z=Ok!e4Fna+h^(%oR)J$2l*Dk#kO|{!Htm}9nq+hI(RAiBt1zq~4!DOJIMvSGAe=9R z-$G+ zCj`<0r9=bFLH<_M)2EGy4*L!tj)Mh-6mh(J|9%1{bG30b(pc0@9(yScz;50 zETOkKhidR7gd+FN4P5yN;0%^YxbcbxiDfo6yRqGy^+5RLDmQ#F#dkygd zOO*0%Nel%#K2v{A-RuNzz$8}6Vj0)7>>%zF^>ssP6UhW-SX$YycR-kPF$Q90WJXP#MfP-yy$tv&oF!o^T=z##aTcgrE(WA_*(avmi0v4^ennw0Do zSSc;5n2Yp1#gG7U;?PY7`%@H;iQaao``84?VGSH0V-W7rum0*>!JI)!pDOXF(`X+@ z$v%eRpEw+0Ot#wow|ua{I0OjI|5y;R2JuraGbdeo7?3pSH}HOD$Cmn#7X4i zZ20kB5#lOgN$mYMek^@yh*XNja)32s@bnD~1onW7f)55e*VR-g)K+wBa<29zoN^n8 z{`R1W-B<#0n0z`J5XU057F=>Xf)-pb7L|Xq*NTIT_@^MN^dkoJ&>79mw$?pF+_E6sZlh?0XQxH7n0?FV9 zBY)j)3aBblIh*%vwt&OxWqGKx^h}{ z)9C;e7b5~({q)05U5^w-O}u^oRes?P$`%a5Z6GPdpi9jp_}P<>F$i?VGdjpgh<^2I z#`EPp)!l(IJ$Wt(SriPhoTar~Y|M7`7{BzG5j<_$v~dA?eP-MT>V0Zu3#YvAW)WL8 z@qW!>^nsSP_Bq0jQXC}9b?QXH-=O?iK^=pf?+1d`9cF{oEc$G6v26-1hFhK)j$IRGHSv+Kcsc zj;yVjZqqt3rEw!%Cv+42r@%>x;(bzWML~UJfBVM2`tz%=+MHk);+8pQ9AD_phWYgs zu4C+3`Qd&?kf0l!jlw5%0)eY?0x6KBx~W&MolZ+lc1eT7Djh*tR>*Cgl^b@+m zkXmr(Y%wt=+qmu76ZPsgdt7yj0|=M$*g_6Vp(N5~wRSxydF=g~aVklJ6)u5h$e`!y+ht zI#NvSkW;`YYYOB)ou4AVqCy&_HtJb?z zF#)E)&dMrA^y}1XS5%U(bpx_@5`ly?y$)l!N<8ckYyVEsvm}EY1S<1aMAKA>=ZaEW zommj_;MsPZ|B{Hse1s^VVh|e_cY|w1EEEj2+#UKLnqbTJsu``UmB1H7A z@a>ammZb$Nj3KTHE|`i9S*Y@IcAEtZ)wndsTTIB3y`*f#)da5x9UVmLbK!KT%xMsI3GL&#&iRADRMsRslEoF)06 zq^O~CoCQzgV7j|k zXumi;x-(#I>sY;qEDvb--+!duj%=uA-oftJ68=&jP0fx#`3Y3V)z#HMCBH)ZY0>7g zuJ}!QasO$Ft9tBg<2FPXUa8L( zVh|ld%?HlC6yU{XA72XLge)n`aAK)jsD%d+vRhb_EU*Xml@;{5+bfT7&EGT2L>Nze zjY%mf$KVC$g`X&#-MSjH0R3}IJi-N+LyM@SOv#YmA6i?f_@?GKR*jg(J-j&>J`fjW z0OKm))xAZeho_ZXA=w7tSPg3uwZ=&6_IVCd|Qs|}8W5$e0#Lb8u-GV2Rak<nUkRO=<=RHi){j%oFKLPJCYNRWg5(=ymd_9e!bd2a zr7*_&rY(kF-ia!c;46yOZP;*g%93-iElh}P(4={DSLhS2Nn2ni2kHW-g5N%ob0!0c zHdPc~Hmt~PG%hLBp16F8!hl@=l(Sc_dZ>>n=CADH;=>fF1LMC;dh?sA^98R1mE;NEcsO($ zOoSNmD{-WLDk}1zj<>+dA*2TJxtYQMs%322=Zw~--%)-@;YAb`toa^Kan4CJ3k(o@ zg(-o5Q!@Mcug*i&Y|^UL6vmDWvwt&)u^tNC+VL>rZIzXq_jLF>jgdvx?!z^m=I<&q zg|>AEd4J{+aVHuv9$f+94`#hHQs2G<2cl@SucrXn_mk-k#})E2Yet89I!`{Q!P3!% zl9=JF;=p>dSZ8nT#;D6`F>%A(9pp@%1^Vcu`&E{7nn`?vuV_o3?J`SCS7K2;1t^_m z%tf)k4&3 zpgqJLw!jZHfZ0{Q6ssx~*r+{x(4xC-_)>c~HE8AaAtMzYbNi*?cGA?TmS7l#|BK#} z0gl5NZw71liNgd_)j*7O_>=KaS;7X$^S^xg^3BC**AfyEnsJvW@o(4S2S4fOC!88H z6Q9Aspq#J`)xE{(&MrTSqk7j)EjQ@wliZ`Pi~HfjdvSB(jz5%ER}<2B#bW&d;h0)a zX|1hKq-l7hjhG=2Khkw(&>|(xMzBa+*1%_cMm3 zF$ZlIAjzD|wr~IbCvu4}_~#IHwjNzma!oECM_bTdvkn7X;4!4b1%9G|Lf5fdJ5Z(S zByDWc%k2^GSP!o}Bhy<#pGzkRePXn!kCetk>xw^24b;ZLe$A-PbQ^-Myjh6H3;gN@ zmrhqEtLS(3nNc-fmRAZ|Xx4d13tFGOhAdVBzprt0oQ(JMI@!W&=+f>kKRmYgRZ%&M zVn*O@h~LG9g&7K!S${%b=aMyqgv5~G4rq7+LkmB7beY}&I#$Nr8}%KJj!eiC7bN^j z!evj`0C{bU0GR*^k~=(Vbf4;Oavq6^-hmo03FNb}8&;Kjw9(6R4-OtcFH2kTt`e|0 zdHYcWqM3M*@pXgrvXE1AsG;ZqJ~^gA!SJTZlY=zrf{+kL*(ITZ`e-;^X{;7$$Cn#` zJ)M!r`%zqKIW;I3Y*o7bJGlNczxAGmkDahYGS;>}*H+qUaG*+q4yZ!azt`!pc3-x&(Q8t)pSOg6OFk#j!ocOs zE3ohN4f!T;p1pN+lqm9!Jy9BaLUYe_w^uT}0bl!mijQoFav5QkO>B{plA}-X6-S}8 zn{!WQ@wwAiIykiL+7;JcYkqAb43YH|tW~-xkfQb=k9HE@OZ^Q_M&J9^Dtgj89xLeD z#wN(Co?WCr>mLwU+H!KE3IEc;lzM4ybH-^XfsHlOuRC3G))}~?wO*5>X1qJOGDM>z z3N?LrHBl%%pYrndNqo#Y{QgeqiRxdIgXk~nJLl>mMVfpSTo8GCp|fnJ{$peV#^Du@ zlat#)s_0~mH(R*S5-^MR_z4y2_;z@Qh7B7ggZ$*KpwiLtWw_<=km-e;m+sl>cav_K ze?=hK5MtZ7-QfBza@khB-zUXBrUkIfqmiL!RG(?8pp(z!eb)U}9_iNrn7;Y<v-q=BP6SYSRP zYBXmqiKY(dIVG~dPTYyF{4Z8kQ@$7jpcU+P=1Q1DGdJ=ZIsIK*1^wo!IPG0!RA%TU zy(Yb4vOMRm3#e{Sk8i@rko&sh`_}p{s;3vKd&{Yzf?PX3OB6}l>&0^gX-@2*Hizfa zROwp!-dMwK!OY}si#RDJV#?-M{^N$G__|qedByy!@c8Z9E}(UUj(h9IK&qfOHNwAp z&MV~N#uKdj7^-s%t!dw7Lz`XJE!Ai0*-o!onN0ibQ@F&Vo}Rm?6VAfuFfg(SI)w-{ zsM#H%Iimp&M*v1B8us_fm+qlD-qX6rA*PFPRi?JP*rX+&@hy!_c$)T8!=456>g(%| zH!<=2mqu3nZ)6k$q=Z##i6|!xT|_gC<}sMk*I*#Uls-0kM{K*5 zO^zOql;?;+jNxuQa1b=?=@8ez(LyV}{y^SClXKe$|4X07naR}3LlP=rSp_%^LugfS zVLFyVPgT{Xgijccql1p?Ro8?66!j3&QbyhkBljxUnPsJYscI{qF>!GCEaUBK^V8?D zV5k_?NDs=#+`+*EI#HU3x#4{JNw7T2&?Xf%Y#zfntiEx#dC9%tO%1!C_!C++J=KxZ z`FJ1t*e5?V)xZi!AZYe~%X0x0a=kcrGW_QWx0Q*EZiKqtYHH1-qZ83kWoG-&tECVh zL=(oF^UeSF)B5Cpb~os;i1gJ>iWx$yF#r*(Wq0U6>9*w1v-jB)*4YxPy*yGvqC&ux z#ZcA{M$Vkr&I>L^Lc;-gzi6 zTWU;BrK}FG94h@Sq|uuQJqn;oO<6N|dK{3)s_qd7w}y4Y)9`&w~81Z)6%M6|&-ucO1+_s&XS zK+F?{w}%WWhYHlC&5Sk=b`3XByN~g2GLKO5h}TTQ*z?42(&^a7d2f!HY)U zV+S{U#oO%V#LmiY3}Z9vdlG5-ed(8bkfZp%JV#7!F<2YMXC2V6{^H84GlJs2#b)_{ zN>#Wx2UjiS@}dJOXXFuJZH1SjfnhoEzBwlw zqkm{093(JI(bApUk3PekTWKwYrZ2w;!jp-PLUot4opHNo02Z>eY^}XqpmDiL?-hGf_Ap$4WsM!ysg^X_F*s{P-IfHkd+h zX6x40_kCAZ6!Z6n*|i1d*-x_EV9CgVxtnrO8o{V8Ya#He4a$C=xVx+qmf5-n1!vM& z@4m-0+c>vc=cr8&=syCGwGcHD?;>~U#s_sY^mT%Oi9nI{_Vy|Y4($+YUQH76591Ba zQa}U->Unx~i6$&DwR$z?{JYs%?|k3bvx-bMH87c(nL?Hb=ZT{cf$$0^3H$^Xjs|5I zHn@ex-aYG-_VIsqbR$nvNYf) z|AtO~3f5m}H{uFlz#&#jn&6OH4QgqNx%l9-r!5ULF_?&;>)gl|AB2mA%{XfN(1E~# zEUw3Jr8m7`eA1@d@}xe01)~lU(Ma$x&gsN9nT%RU;3PsjrO=jmxi*c|PDD1Y?#ktA zA6vWSFELT%Y5BwEE#SjJ@$CYHn*FpoE54)IM>Gw@lw6QgsKS84Kd*+)%01rUc)$%1&bc(rzZ8o*17!=J(QzixUmi8p zW##VbH3EBpt>N+Ur(*1!olgJ*TBKqB>3VsC^Q;GhjhfQ1{si%6SBlTPt)RhKefZk; zI-{2|O8RGa+PD;M={Vi;z6PkuhwHrdnnJN7U*-fS-@LT!8xUYa$m=x3Q~ zz)ZZZles%)m=ASC-qM95;Hl!pCGd=p{FO7pwzFl(Uf%dBT{l>%W-{Kz?kMxnA41*& zD2vF_Zy~UQPd}}#fLR!rnXzXdjo_?k2%2o>_M{mm>fJ@5+)qg;|I`s59-4CkT~a{# zm=rg|kTel=9MeF}LsG0cNiQs6WN?*Iu(3i~ApeR&+I<16ln_0{{F+Jqa-2T*qT1tUxrR&dDoU{Hb-m(=!Mk2r8D3d!llYH=CF;q+vqT*7<7Z;%9n1&~J z!-T^XJToR`c7z+^KRax#yhK|#DD(8ZPU)37N9%#lc{5R@Z58eqy)4p&i3l7ko7%wW zHw#xbLb%-`74F_sUz1O<6rm5rL&cxS71z?SDyk-g2U-}9TG@T6M2`DF4MmjnNm6;$ zw%}kF@IQ{819Xsyg0G^bC-`K4e!fybs1>fgQ`3h=NY`=j#w(I?1XGoGBV5*VyGO=( z=DE~oaAIOTtn2`$LwwIHAL1QSix0jyOBi0R;%+;kW;u+-RFNWcQt`@gc;~6P8UZAd z!L_?`oQC~h0A25Oa42P=FQZWjF1+ntB`>Qtw=~>rnBHNasD?*_s2?}7r#ryaSrmZ? zSA*FyuMSGsj&T5v7sF|CVr!|ibIL1$Cn4xofiyJYOo^XH4i-A@_Rx4VLNJlDrRJN% w\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
CharacterUniverseStrengthSpeedIntelligenceSpecialAbilitiesWeaknessesBattleOutcome
0Wonder WomanMarvel783TelekinesisKryptonite0
1Iron ManMarvel479TelekinesisKryptonite0
2Iron ManDC Comics875TelekinesisMagic0
3Spider-ManDC Comics5610TelekinesisKryptonite0
4FlashMarvel762InvisibilityMagic0
\n"},"metadata":{}}]},{"cell_type":"code","source":"df.isnull().sum()","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:49:59.181341Z","iopub.execute_input":"2024-07-21T17:49:59.181778Z","iopub.status.idle":"2024-07-21T17:49:59.200241Z","shell.execute_reply.started":"2024-07-21T17:49:59.181746Z","shell.execute_reply":"2024-07-21T17:49:59.198686Z"},"trusted":true},"execution_count":51,"outputs":[{"execution_count":51,"output_type":"execute_result","data":{"text/plain":"Character 0\nUniverse 0\nStrength 0\nSpeed 0\nIntelligence 0\nSpecialAbilities 0\nWeaknesses 0\nBattleOutcome 0\ndtype: int64"},"metadata":{}}]},{"cell_type":"code","source":"# Check for duplicates and remove them\nduplicates = df.duplicated()\nprint(\"\\nNumber of Duplicates:\", duplicates.sum())","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:49:59.203672Z","iopub.execute_input":"2024-07-21T17:49:59.204613Z","iopub.status.idle":"2024-07-21T17:49:59.222209Z","shell.execute_reply.started":"2024-07-21T17:49:59.204564Z","shell.execute_reply":"2024-07-21T17:49:59.219565Z"},"trusted":true},"execution_count":52,"outputs":[{"name":"stdout","text":"\nNumber of Duplicates: 6\n","output_type":"stream"}]},{"cell_type":"code","source":"df = df.drop_duplicates()","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:49:59.225994Z","iopub.execute_input":"2024-07-21T17:49:59.226430Z","iopub.status.idle":"2024-07-21T17:49:59.239975Z","shell.execute_reply.started":"2024-07-21T17:49:59.226395Z","shell.execute_reply":"2024-07-21T17:49:59.238065Z"},"trusted":true},"execution_count":53,"outputs":[]},{"cell_type":"code","source":"# Basic info and statistics\nprint(\"\\nData Info:\")\ndf.info()","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:49:59.241685Z","iopub.execute_input":"2024-07-21T17:49:59.242099Z","iopub.status.idle":"2024-07-21T17:49:59.275356Z","shell.execute_reply.started":"2024-07-21T17:49:59.242063Z","shell.execute_reply":"2024-07-21T17:49:59.272494Z"},"trusted":true},"execution_count":54,"outputs":[{"name":"stdout","text":"\nData Info:\n\nIndex: 2345 entries, 0 to 2350\nData columns (total 8 columns):\n # Column Non-Null Count Dtype \n--- ------ -------------- ----- \n 0 Character 2345 non-null object\n 1 Universe 2345 non-null object\n 2 Strength 2345 non-null int64 \n 3 Speed 2345 non-null int64 \n 4 Intelligence 2345 non-null int64 \n 5 SpecialAbilities 2345 non-null object\n 6 Weaknesses 2345 non-null object\n 7 BattleOutcome 2345 non-null int64 \ndtypes: int64(4), object(4)\nmemory usage: 164.9+ KB\n","output_type":"stream"}]},{"cell_type":"code","source":"print(\"\\nData Description:\\n\", df.describe())","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:49:59.277702Z","iopub.execute_input":"2024-07-21T17:49:59.278701Z","iopub.status.idle":"2024-07-21T17:49:59.307577Z","shell.execute_reply.started":"2024-07-21T17:49:59.278655Z","shell.execute_reply":"2024-07-21T17:49:59.306185Z"},"trusted":true},"execution_count":55,"outputs":[{"name":"stdout","text":"\nData Description:\n Strength Speed Intelligence BattleOutcome\ncount 2345.000000 2345.000000 2345.000000 2345.000000\nmean 5.441365 5.481450 5.550107 0.278038\nstd 2.896110 2.858841 2.861892 0.448128\nmin 1.000000 1.000000 1.000000 0.000000\n25% 3.000000 3.000000 3.000000 0.000000\n50% 5.000000 6.000000 6.000000 0.000000\n75% 8.000000 8.000000 8.000000 1.000000\nmax 10.000000 10.000000 10.000000 1.000000\n","output_type":"stream"}]},{"cell_type":"code","source":"# Calculate IQR\nQ1 = df[['Strength', 'Speed', 'Intelligence']].quantile(0.25)\nQ3 = df[['Strength', 'Speed', 'Intelligence']].quantile(0.75)\nIQR = Q3 - Q1\n# Remove outliers\ndf = df[~((df[['Strength', 'Speed', 'Intelligence']] < (Q1 - 1.5 * IQR)) | (df[['Strength', 'Speed', 'Intelligence']] > (Q3 + 1.5 * IQR))).any(axis=1)]","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:49:59.309531Z","iopub.execute_input":"2024-07-21T17:49:59.310043Z","iopub.status.idle":"2024-07-21T17:49:59.331734Z","shell.execute_reply.started":"2024-07-21T17:49:59.309999Z","shell.execute_reply":"2024-07-21T17:49:59.329813Z"},"trusted":true},"execution_count":56,"outputs":[]},{"cell_type":"code","source":"# Normalize data using Quantile Transformer and check with Shapiro-Wilk test\nfor column in ['Strength', 'Speed', 'Intelligence']:\n qt = QuantileTransformer()\n df[[column]] = qt.fit_transform(df[[column]])\n # Check normalization with Shapiro-Wilk test\n stat, p = shapiro(df[column])\n print(f'\\nShapiro-Wilk Test for {column}: Statistics=%.3f, p=%.3f' % (stat, p))\n if p < 0.05:\n # Apply Power Transformer if not normally distributed\n pt = PowerTransformer()\n df[[column]] = pt.fit_transform(df[[column]])","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:49:59.333507Z","iopub.execute_input":"2024-07-21T17:49:59.333999Z","iopub.status.idle":"2024-07-21T17:49:59.412571Z","shell.execute_reply.started":"2024-07-21T17:49:59.333955Z","shell.execute_reply":"2024-07-21T17:49:59.411456Z"},"trusted":true},"execution_count":57,"outputs":[{"name":"stdout","text":"\nShapiro-Wilk Test for Strength: Statistics=0.947, p=0.000\n\nShapiro-Wilk Test for Speed: Statistics=0.948, p=0.000\n\nShapiro-Wilk Test for Intelligence: Statistics=0.948, p=0.000\n","output_type":"stream"}]},{"cell_type":"code","source":"# t-test between two groups (example)\nt_stat, t_p = ttest_ind(df[df['Universe'] == 'Marvel']['Strength'], df[df['Universe'] == 'DC Comics']['Strength'])\nprint('\\nT-test: t=%.3f, p=%.3f' % (t_stat, t_p))","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:49:59.417173Z","iopub.execute_input":"2024-07-21T17:49:59.417610Z","iopub.status.idle":"2024-07-21T17:49:59.431147Z","shell.execute_reply.started":"2024-07-21T17:49:59.417570Z","shell.execute_reply":"2024-07-21T17:49:59.429864Z"},"trusted":true},"execution_count":58,"outputs":[{"name":"stdout","text":"\nT-test: t=1.512, p=0.131\n","output_type":"stream"}]},{"cell_type":"code","source":"print(\"\\n--- T-tests ---\")\nt_test_results = []\nfor col1 in ['Strength', 'Speed', 'Intelligence']:\n for col2 in ['Strength', 'Speed', 'Intelligence']:\n if col1 != col2:\n t_stat, t_p = ttest_ind(df[col1], df[col2])\n t_test_results.append({\n 'Comparison': f'{col1} vs {col2}',\n 'T Statistic': t_stat,\n 'p-value': t_p\n })\n print(f'T-test between {col1} and {col2}: t-statistic={t_stat:.3f}, p-value={t_p:.3f}')","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:49:59.432771Z","iopub.execute_input":"2024-07-21T17:49:59.433181Z","iopub.status.idle":"2024-07-21T17:49:59.451964Z","shell.execute_reply.started":"2024-07-21T17:49:59.433145Z","shell.execute_reply":"2024-07-21T17:49:59.450527Z"},"trusted":true},"execution_count":59,"outputs":[{"name":"stdout","text":"\n--- T-tests ---\nT-test between Strength and Speed: t-statistic=-0.000, p-value=1.000\nT-test between Strength and Intelligence: t-statistic=0.000, p-value=1.000\nT-test between Speed and Strength: t-statistic=0.000, p-value=1.000\nT-test between Speed and Intelligence: t-statistic=0.000, p-value=1.000\nT-test between Intelligence and Strength: t-statistic=-0.000, p-value=1.000\nT-test between Intelligence and Speed: t-statistic=-0.000, p-value=1.000\n","output_type":"stream"}]},{"cell_type":"code","source":"print(\"\\n--- ANOVA ---\")\nanova_results = {}\nanova_stat, anova_p = f_oneway(df['Strength'], df['Speed'], df['Intelligence'])\nanova_results['ANOVA'] = {\n 'F-statistic': anova_stat,\n 'p-value': anova_p\n}\nprint(f'ANOVA: F-statistic={anova_stat:.3f}, p-value={anova_p:.3f}')","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:49:59.453747Z","iopub.execute_input":"2024-07-21T17:49:59.454130Z","iopub.status.idle":"2024-07-21T17:49:59.468533Z","shell.execute_reply.started":"2024-07-21T17:49:59.454097Z","shell.execute_reply":"2024-07-21T17:49:59.466905Z"},"trusted":true},"execution_count":60,"outputs":[{"name":"stdout","text":"\n--- ANOVA ---\nANOVA: F-statistic=0.000, p-value=1.000\n","output_type":"stream"}]},{"cell_type":"code","source":"# Boxplot\nplt.figure(figsize=(10, 6))\nsns.boxplot(data=df[['Strength', 'Speed', 'Intelligence']])\nplt.title(\"Boxplot of Strength, Speed, and Intelligence\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:49:59.470389Z","iopub.execute_input":"2024-07-21T17:49:59.470842Z","iopub.status.idle":"2024-07-21T17:49:59.753902Z","shell.execute_reply.started":"2024-07-21T17:49:59.470766Z","shell.execute_reply":"2024-07-21T17:49:59.752662Z"},"trusted":true},"execution_count":61,"outputs":[{"output_type":"display_data","data":{"text/plain":"

","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"# Barplot\nplt.figure(figsize=(10, 6))\nsns.barplot(x='Character', y='Strength', data=df)\nplt.title(\"Barplot of Character vs Strength\")\nplt.show()\n","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:49:59.755328Z","iopub.execute_input":"2024-07-21T17:49:59.755685Z","iopub.status.idle":"2024-07-21T17:50:00.286452Z","shell.execute_reply.started":"2024-07-21T17:49:59.755654Z","shell.execute_reply":"2024-07-21T17:50:00.284871Z"},"trusted":true},"execution_count":62,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"iVBORw0KGgoAAAANSUhEUgAAA2wAAAIjCAYAAAB/FZhcAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABkG0lEQVR4nO3de3zO9f/H8ee1YRvbzNjBNOZ8Fk2GYmS1JUWpiHJI0mEOKUUHh3yLvg6ZUr4dHBJfUpEkvr6Yyvnwpb7Oigib48yome39+8N3n5/LDrYZ12c87rfbdbPr/Xl/3tfrc12f67o+T5/D5TDGGAEAAAAAbMfN1QUAAAAAALJHYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAOAG8zw4cPlcDhcXYaTCxcu6OWXX1ZoaKjc3NzUoUOHQhl32rRpcjgc2rhxY6GMB+RXjx495O3t7eoyANzACGwAUACZQeHSW2BgoFq3bq3vv//e1eUV2AcffKBp06YV+rhTpkzRmDFj9PDDD2v69Ol64YUXrjjPvHnzdO+996pcuXIqUaKEQkJC9Oijj2r58uWFXp8rLFq0SMOHD3d1GYUqIyNDn332mSIiIuTv7y8fHx/VqFFD3bp109q1a61+27dv1/Dhw7V//37XFZsP586d0/DhwxUfH+/qUgDchIq5ugAAKMrefPNNVa5cWcYYJSYmatq0aWrbtq2+/fZbtWvXztXl5dsHH3ygcuXKqUePHoU67vLly1WhQgW9++67V+xrjNGTTz6padOmqVGjRho4cKCCg4N15MgRzZs3T23atNGqVavUvHnzQq3xelu0aJEmTZp0Q4W2fv36adKkSWrfvr26du2qYsWKadeuXfr+++9VpUoVNW3aVNLFwDZixAi1atVKYWFhri06D86dO6cRI0ZIklq1auXaYgDcdAhsAHAV7r33XjVu3Ni636tXLwUFBemf//xnoQS2jIwMnT9/Xp6enlc9lisdPXpUfn5+eeo7btw4TZs2TQMGDND48eOdDu987bXXNGPGDBUrdn2/vs6dO6eSJUte18csCGOM/vrrL3l5eV33x05MTNQHH3yg3r1766OPPnKaNmHCBB07dqxA47pymQDADjgkEgAKkZ+fn7y8vLIEirFjx6p58+YqW7asvLy8FB4eri+//DLL/A6HQ7GxsZo5c6bq1q0rDw8PLV68WPv375fD4dDYsWP17rvvqlKlSvLy8lJkZKT++9//XrGuCxcuaOTIkapatao8PDwUFhamV199VampqVafsLAwbdu2TStXrrQO87zS3oSzZ8/qxRdfVGhoqDw8PFSzZk2NHTtWxhhJsupesWKFtm3bZo2b06Flf/75p0aNGqVatWpp7Nix2Z6L98QTT6hJkyZObampqRo4cKACAgJUqlQpPfjgg1kCwjfffKP77rtPISEh8vDwUNWqVTVy5Eilp6c79WvVqpXq1aunTZs2qWXLlipZsqReffXVfI0hSevWrVPbtm1VpkwZlSpVSg0aNFBcXJyki+c9TZo0SZKcDqvNlJGRoQkTJqhu3bry9PRUUFCQ+vTpo1OnTjk9RlhYmNq1a6clS5aocePG8vLy0j/+8Y9sn9vY2Fh5e3vr3LlzWaY99thjCg4OtpZj48aNio6OVrly5eTl5aXKlSvrySefzHbcTPv27ZMxRnfccUeWaZmHDEsXDyd+5JFHJEmtW7fOsk7ktkxJSUkaMGCAtb5Vq1ZN77zzjjIyMqzHuvS98tFHH1nr/O23364NGzZkqW3u3LmqU6eOPD09Va9ePc2bN089evSw9vzt379fAQEBkqQRI0ZY9V6+Z/TQoUPq0KGDvL29FRAQoJdeeinb9QIA8os9bABwFU6fPq3jx4/LGKOjR4/qvffeU0pKih5//HGnfnFxcXrggQfUtWtXnT9/XrNnz9YjjzyihQsX6r777nPqu3z5cn3xxReKjY1VuXLlnA4Z++yzz3TmzBk9//zz+uuvvxQXF6e77rpLv/zyi4KCgnKs86mnntL06dP18MMP68UXX9S6des0atQo7dixQ/PmzZN0cS9I37595e3trddee02Sch3TGKMHHnhAK1asUK9evdSwYUMtWbJEgwYN0qFDh/Tuu+8qICBAM2bM0FtvvaWUlBSNGjVKklS7du1sx/zpp5908uRJDRgwQO7u7jk/8Zfp27evypQpo2HDhmn//v2aMGGCYmNjNWfOHKvPtGnT5O3trYEDB8rb21vLly/X0KFDlZycrDFjxjiNd+LECd17773q3LmzHn/8cet5yOsYS5cuVbt27VS+fHn1799fwcHB2rFjhxYuXKj+/furT58+Onz4sJYuXaoZM2ZkWZ4+ffpo2rRp6tmzp/r166d9+/bp/fff13/+8x+tWrVKxYsXt/ru2rVLjz32mPr06aPevXurZs2a2T5HnTp10qRJk/Tdd99ZgUm6uPfw22+/VY8ePeTu7q6jR4/qnnvuUUBAgAYPHiw/Pz/t379fX3/9da6vQaVKlSRdDECPPPJIjnskW7ZsqX79+mnixIl69dVXrXXh0nUiu2U6d+6cIiMjdejQIfXp00cVK1bU6tWrNWTIEB05ckQTJkxwepxZs2bpzJkz6tOnjxwOh/7+97/roYce0m+//WY9f9999506deqk+vXra9SoUTp16pR69eqlChUqWOMEBAToww8/1LPPPqsHH3xQDz30kCSpQYMGVp/09HRFR0crIiJCY8eO1b///W+NGzdOVatW1bPPPpvr8wYAV2QAAPk2depUIynLzcPDw0ybNi1L/3PnzjndP3/+vKlXr5656667nNolGTc3N7Nt2zan9n379hlJxsvLy/zxxx9W+7p164wk88ILL1htw4YNM5d+vG/ZssVIMk899ZTTmC+99JKRZJYvX2611a1b10RGRubpOZg/f76RZP72t785tT/88MPG4XCYvXv3Wm2RkZGmbt26VxwzLi7OSDLz5s3LUw2Zr0NUVJTJyMiw2l944QXj7u5ukpKSrLbLXwNjjOnTp48pWbKk+euvv5xqlWQmT56cpX9exrhw4YKpXLmyqVSpkjl16pRT30trfP755012X8M//vijkWRmzpzp1L548eIs7ZUqVTKSzOLFi7OMc7mMjAxToUIF07FjR6f2L774wkgyP/zwgzHGmHnz5hlJZsOGDVcc83LdunUzkkyZMmXMgw8+aMaOHWt27NiRpd/cuXONJLNixYos03JappEjR5pSpUqZ3bt3O7UPHjzYuLu7mwMHDhhj/v+9UrZsWXPy5Emr3zfffGMkmW+//dZqq1+/vrnlllvMmTNnrLb4+HgjyVSqVMlqO3bsmJFkhg0blqXe7t27G0nmzTffdGpv1KiRCQ8Pz/okAUA+cUgkAFyFSZMmaenSpVq6dKk+//xztW7dWk899VSWvRGXnn9z6tQpnT59Wi1atNDmzZuzjBkZGak6depk+3gdOnRw+t//Jk2aKCIiQosWLcqxxsxpAwcOdGp/8cUXJV3cy1AQixYtkru7u/r165dlXGNMga6WmZycLEny8fHJ13xPP/200yGFLVq0UHp6un7//Xer7dLX4MyZMzp+/LhatGihc+fOaefOnU7jeXh4qGfPnlkeJy9j/Oc//9G+ffs0YMCALOft5eXnFubOnavSpUvr7rvv1vHjx61beHi4vL29tWLFCqf+lStXVnR09BXHdTgceuSRR7Ro0SKlpKRY7XPmzFGFChV05513SpJV88KFC5WWlnbFcS81depUvf/++6pcubLmzZunl156SbVr11abNm106NChPI+T3TLNnTtXLVq0UJkyZZyel6ioKKWnp+uHH35w6t+pUyeVKVPGut+iRQtJ0m+//SZJOnz4sH755Rd169bN6bL8kZGRql+/fr6WW5KeeeYZp/stWrSwHgsArgaBDQCuQpMmTRQVFaWoqCh17dpV3333nerUqaPY2FidP3/e6rdw4UI1bdpUnp6e8vf3tw6zOn36dJYxK1eunOPjVa9ePUtbjRo1cr08+u+//y43NzdVq1bNqT04OFh+fn5OoSY/fv/9d4WEhGQJV5mHthVkXF9fX0kXw1B+VKxY0el+5ob6ped8bdu2TQ8++KBKly4tX19fBQQEWIeuXv46VKhQQSVKlMjyOHkZ49dff5Uk1atXL1/LkGnPnj06ffq0AgMDFRAQ4HRLSUnR0aNHnfrntr5crlOnTvrzzz+1YMECSVJKSooWLVqkRx55xAqTkZGR6tixo0aMGKFy5cqpffv2mjp1qtP5jjlxc3PT888/r02bNun48eP65ptvdO+992r58uXq3LlznuvMbpn27NmjxYsXZ3lOoqKiJCnL83KldSJz/bz8fZFTW248PT2t89wufbzLzzkEgILgHDYAKERubm5q3bq14uLitGfPHtWtW1c//vijHnjgAbVs2VIffPCBypcvr+LFi2vq1KmaNWtWljGu1dXw7PZj2tmpVauWJOmXX37J149r53S+m/nfxU+SkpIUGRkpX19fvfnmm6patao8PT21efNmvfLKK04XrZCyfw3yO0ZBZWRkKDAwUDNnzsx2+uXBID/rS9OmTRUWFqYvvvhCXbp00bfffqs///xTnTp1svo4HA59+eWXWrt2rb799lstWbJETz75pMaNG6e1a9fm+Ueiy5YtqwceeEAPPPCAWrVqpZUrV+r333+3znXLTXbLlJGRobvvvlsvv/xytvPUqFHD6f6V1onClJ/zLQEgvwhsAFDILly4IEnWYWdfffWVPD09tWTJEnl4eFj9pk6dmu+x9+zZk6Vt9+7duf6WVaVKlZSRkaE9e/Y4XdghMTFRSUlJThvQ+Ql1lSpV0r///W+dOXPGaS9b5qGBedkwv9ydd96pMmXK6J///KdeffXVQtsQjo+P14kTJ/T111+rZcuWVvu+ffsKfYyqVatKkv773/9ae3+yk9NzXbVqVf373//WHXfccU3C+6OPPqq4uDglJydrzpw5CgsLs34f7VJNmzZV06ZN9dZbb2nWrFnq2rWrZs+eraeeeirfj9m4cWOtXLlSR44cUaVKlQr0nwdVq1ZVSkpKrs9pfmSun3v37s0y7fK2ovCfHQBuXBwSCQCFKC0tTf/6179UokQJKxy5u7vL4XA4XeJ7//79mj9/fr7Hnz9/vtO5QOvXr9e6det077335jhP27ZtJSnLVfTGjx8vSU5XqSxVqpSSkpLyVEvbtm2Vnp6u999/36n93XfflcPhyLWmnJQsWVKvvPKKduzYoVdeeSXbvSGff/651q9fn69xM4PfpeOdP39eH3zwQaGPcdttt6ly5cqaMGFClufy0nlLlSolSVn6PProo0pPT9fIkSOz1HDhwoU8vz456dSpk1JTUzV9+nQtXrxYjz76qNP0U6dOZXneGzZsKEm5HhaZkJCg7du3Z2k/f/68li1b5nRYbk7LnptHH31Ua9as0ZIlS7JMS0pKsv6jJK9CQkJUr149ffbZZ07n9K1cuVK//PKLU9/MK15e7XMPAAXBHjYAuArff/+9tUfp6NGjmjVrlvbs2aPBgwdb52Pdd999Gj9+vGJiYtSlSxcdPXpUkyZNUrVq1fTzzz/n6/GqVaumO++8U88++6xSU1M1YcIElS1bNsfDxCTp1ltvVffu3fXRRx9Zh/WtX79e06dPV4cOHdS6dWurb3h4uD788EP97W9/U7Vq1RQYGKi77ror23Hvv/9+tW7dWq+99pr279+vW2+9Vf/617/0zTffaMCAAdaepvwaNGiQtm3bpnHjxmnFihV6+OGHFRwcrISEBM2fP1/r16/X6tWr8zVm8+bNVaZMGXXv3l39+vWTw+HQjBkz8nV4XF7HcHNz04cffqj7779fDRs2VM+ePVW+fHnt3LlT27ZtswJHeHi4JKlfv36Kjo6Wu7u7OnfurMjISPXp00ejRo3Sli1bdM8996h48eLas2eP5s6dq7i4OD388MP5Wv5L3XbbbapWrZpee+01paamOh0OKUnTp0/XBx98oAcffFBVq1bVmTNn9PHHH8vX19cK/9n5448/1KRJE911111q06aNgoODdfToUf3zn//U1q1bNWDAAJUrV07SxQDo7u6ud955R6dPn5aHh4fuuusu67fasjNo0CAtWLBA7dq1U48ePRQeHq6zZ8/ql19+0Zdffqn9+/db4+fV22+/rfbt2+uOO+5Qz549derUKb3//vuqV6+eU4jz8vJSnTp1NGfOHNWoUUP+/v6qV69egc9TBIB8cdXlKQGgKMvusv6enp6mYcOG5sMPP3S6fLsxxnz66aemevXqxsPDw9SqVctMnTo1y+X3jbl4Wf/nn38+y+NlXqp8zJgxZty4cSY0NNR4eHiYFi1amK1btzr1zW7ctLQ0M2LECFO5cmVTvHhxExoaaoYMGeJ0OXtjjElISDD33Xef8fHxMZKueIn/M2fOmBdeeMGEhISY4sWLm+rVq5sxY8ZkWf68Xtb/Ul9++aW55557jL+/vylWrJgpX7686dSpk4mPj7f6ZL4Ol1+CfsWKFVkuG79q1SrTtGlT4+XlZUJCQszLL79slixZkqVfbrXmdQxjjPnpp5/M3XffbXx8fEypUqVMgwYNzHvvvWdNv3Dhgunbt68JCAgwDocjy2v20UcfmfDwcOPl5WV8fHxM/fr1zcsvv2wOHz5s9alUqZK577778vqUWl577TUjyVSrVi3LtM2bN5vHHnvMVKxY0Xh4eJjAwEDTrl07s3HjxlzHTE5ONnFxcSY6Otrccsstpnjx4sbHx8c0a9bMfPzxx1nWiY8//thUqVLFuLu7Oz1/uS3TmTNnzJAhQ0y1atVMiRIlTLly5Uzz5s3N2LFjzfnz540xzu+VyymbS/PPnj3b1KpVy3h4eJh69eqZBQsWmI4dO5patWo59Vu9erUJDw83JUqUcBqne/fuplSpUlkeK7v3IQAUhMOYa3D2LQCgUO3fv1+VK1fWmDFj9NJLL7m6HOCG1rBhQwUEBGjp0qWuLgUAOIcNAADcnNLS0rKc+xYfH6+tW7eqVatWrikKAC7DOWwAAOCmdOjQIUVFRenxxx9XSEiIdu7cqcmTJys4ODjLD2EDgKsQ2AAAwE2pTJkyCg8P1yeffKJjx46pVKlSuu+++zR69GiVLVvW1eUBgCSJc9gAAAAAwKY4hw0AAAAAbIrABgAAAAA2xTlshSAjI0OHDx+Wj4+PHA6Hq8sBAAAA4CLGGJ05c0YhISFyc7v6/WMEtkJw+PBhhYaGuroMAAAAADZx8OBB3XLLLVc9DoGtEPj4+Ei6+KL4+vq6uBoAAAAArpKcnKzQ0FArI1wtAlshyDwM0tfXl8AGAAAAoNBOleKiIwAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKaKuboAAACAm13//v117NgxSVJAQIDi4uJcXBEAuyCwAQAAuNixY8eUmJjo6jIA2BCHRAIAAACATbGHDQAAcEgeANgUgQ0AAHBIHgDYFIdEAgAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyrm6gIAAOjfv7+OHTsmSQoICFBcXJyLKwIAwB4IbAAAlzt27JgSExNdXQYAALbDIZEAAAAAYFMENgAAAACwqSIX2CZNmqSwsDB5enoqIiJC69evz7Hvtm3b1LFjR4WFhcnhcGjChAlZ+gwfPlwOh8PpVqtWrWu4BAAAAACQN0UqsM2ZM0cDBw7UsGHDtHnzZt16662Kjo7W0aNHs+1/7tw5ValSRaNHj1ZwcHCO49atW1dHjhyxbj/99NO1WgQAAAAAyLMiFdjGjx+v3r17q2fPnqpTp44mT56skiVLasqUKdn2v/322zVmzBh17txZHh4eOY5brFgxBQcHW7dy5cpdq0UAAAAAgDwrMoHt/Pnz2rRpk6Kioqw2Nzc3RUVFac2aNVc19p49exQSEqIqVaqoa9euOnDgQK79U1NTlZyc7HQDAAAAgMJWZALb8ePHlZ6erqCgIKf2oKAgJSQkFHjciIgITZs2TYsXL9aHH36offv2qUWLFjpz5kyO84waNUqlS5e2bqGhoQV+fAAAAADISZEJbNfKvffeq0ceeUQNGjRQdHS0Fi1apKSkJH3xxRc5zjNkyBCdPn3auh08ePA6VgwAAADgZlFkfji7XLlycnd3z/LDqomJibleUCS//Pz8VKNGDe3duzfHPh4eHrmeEwcAAAAAhaHI7GErUaKEwsPDtWzZMqstIyNDy5YtU7NmzQrtcVJSUvTrr7+qfPnyhTYmAAAAABREkdnDJkkDBw5U9+7d1bhxYzVp0kQTJkzQ2bNn1bNnT0lSt27dVKFCBY0aNUrSxQuVbN++3fr70KFD2rJli7y9vVWtWjVJ0ksvvaT7779flSpV0uHDhzVs2DC5u7vrsccec81CAgAAAMD/FKnA1qlTJx07dkxDhw5VQkKCGjZsqMWLF1sXIjlw4IDc3P5/p+Hhw4fVqFEj6/7YsWM1duxYRUZGKj4+XpL0xx9/6LHHHtOJEycUEBCgO++8U2vXrlVAQMB1XTYAAAAAuFyRCmySFBsbq9jY2GynZYawTGFhYTLG5Dre7NmzC6s0AAAAAChUReYcNgAAAAC42RDYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbKqYqwsAbnb9+/fXsWPHJEkBAQGKi4tzcUUAAACwCwIb4GLHjh1TYmKiq8sAAACADXFIJAAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbKnKBbdKkSQoLC5Onp6ciIiK0fv36HPtu27ZNHTt2VFhYmBwOhyZMmHDVYwIAAADA9VKkAtucOXM0cOBADRs2TJs3b9att96q6OhoHT16NNv+586dU5UqVTR69GgFBwcXypgAAAC48fTv319dunRRly5d1L9/f1eXA1iKVGAbP368evfurZ49e6pOnTqaPHmySpYsqSlTpmTb//bbb9eYMWPUuXNneXh4FMqYAAAAuPFk/sxOYmKi9fuogB0UmcB2/vx5bdq0SVFRUVabm5uboqKitGbNmus6ZmpqqpKTk51uAAAAAFDYikxgO378uNLT0xUUFOTUHhQUpISEhOs65qhRo1S6dGnrFhoaWqDHBwAAAIDcFJnAZidDhgzR6dOnrdvBgwddXRIAAACAG1AxVxeQV+XKlZO7u7sSExOd2hMTE3O8oMi1GtPDwyPHc+IAAAAAoLAUmT1sJUqUUHh4uJYtW2a1ZWRkaNmyZWrWrJltxgQAAACAwlJk9rBJ0sCBA9W9e3c1btxYTZo00YQJE3T27Fn17NlTktStWzdVqFBBo0aNknTxoiLbt2+3/j506JC2bNkib29vVatWLU9jAgAAAICrFKnA1qlTJx07dkxDhw5VQkKCGjZsqMWLF1sXDTlw4IDc3P5/p+Hhw4fVqFEj6/7YsWM1duxYRUZGKj4+Pk9jAgAAAICrFKnAJkmxsbGKjY3NdlpmCMsUFhYmY8xVjQkAAAAArlJkzmEDAAAAgJsNgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRVzdQEA4Gr9+/fXsWPHJEkBAQGKi4tzcUUAAAAXEdgA3PSOHTumxMREV5cBAACQBYdEAgAAAIBNEdgAAAAAwKY4JPImx7k7AAAAgH0R2G5ynLsDAAAA2BeHRAIAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRVzdQEAANxs3n/xW1eXkMWZk+ec/rZbjbHj7nd1CQDgEuxhAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyqyAW2SZMmKSwsTJ6enoqIiND69etz7T937lzVqlVLnp6eql+/vhYtWuQ0vUePHnI4HE63mJiYa7kIAAAAAJAnxVxdQH7MmTNHAwcO1OTJkxUREaEJEyYoOjpau3btUmBgYJb+q1ev1mOPPaZRo0apXbt2mjVrljp06KDNmzerXr16Vr+YmBhNnTrVuu/h4XFdlgcAALjGW48/7OoSnJw+fvqSv4/Zrj5Jeu3zL11dAnBTKlJ72MaPH6/evXurZ8+eqlOnjiZPnqySJUtqypQp2faPi4tTTEyMBg0apNq1a2vkyJG67bbb9P777zv18/DwUHBwsHUrU6bM9VgcAAAAAMhVkQls58+f16ZNmxQVFWW1ubm5KSoqSmvWrMl2njVr1jj1l6To6Ogs/ePj4xUYGKiaNWvq2Wef1YkTJ3KtJTU1VcnJyU43AAAAAChsRSawHT9+XOnp6QoKCnJqDwoKUkJCQrbzJCQkXLF/TEyMPvvsMy1btkzvvPOOVq5cqXvvvVfp6ek51jJq1CiVLl3auoWGhl7FkgEAAABA9orUOWzXQufOna2/69evrwYNGqhq1aqKj49XmzZtsp1nyJAhGjhwoHU/OTmZ0AYAAACg0BWZPWzlypWTu7u7EhMTndoTExMVHByc7TzBwcH56i9JVapUUbly5bR3794c+3h4eMjX19fpBgAAAACFrcgEthIlSig8PFzLli2z2jIyMrRs2TI1a9Ys23maNWvm1F+Sli5dmmN/Sfrjjz904sQJlS9fvnAKBwAAAIACKjKBTZIGDhyojz/+WNOnT9eOHTv07LPP6uzZs+rZs6ckqVu3bhoyZIjVv3///lq8eLHGjRunnTt3avjw4dq4caNiY2MlSSkpKRo0aJDWrl2r/fv3a9myZWrfvr2qVaum6OholywjAAAAAGQqUuewderUSceOHdPQoUOVkJCghg0bavHixdaFRQ4cOCA3t//PoM2bN9esWbP0+uuv69VXX1X16tU1f/586zfY3N3d9fPPP2v69OlKSkpSSEiI7rnnHo0cOZLfYgMAAACuo/79++vYsWOSpICAAMXFxbm4InsoUoFNkmJjY609ZJeLj4/P0vbII4/okUceyba/l5eXlixZUpjlAQAAACiAY8eOZbn+BIrYIZEAAAAAcDMhsAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2VeR+OBsAcHVWtox0dQlZ/FXMXXI4Lv6dkGC7GiN/WOnqEgAANyn2sAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbKpAgS0xMVFPPPGEQkJCVKxYMbm7uzvdAAAAAABXr1hBZurRo4cOHDigN954Q+XLl5fD4SjsugAAAADgplegwPbTTz/pxx9/VMOGDQu5HAAAAABApgIdEhkaGipjTGHXAgAAAAC4RIEC24QJEzR48GDt37+/kMsBAAAAAGTKc2ArU6aM/P395e/vr86dOys+Pl5Vq1aVj4+P1Z55u5YmTZqksLAweXp6KiIiQuvXr8+1/9y5c1WrVi15enqqfv36WrRokdN0Y4yGDh2q8uXLy8vLS1FRUdqzZ8+1XAQAAAAAyJM8n8M2YcKEa1hG3syZM0cDBw7U5MmTFRERoQkTJig6Olq7du1SYGBglv6rV6/WY489plGjRqldu3aaNWuWOnTooM2bN6tevXqSpL///e+aOHGipk+frsqVK+uNN95QdHS0tm/fLk9Pz+u9iAAAAABgyXNg6969+7WsI0/Gjx+v3r17q2fPnpKkyZMn67vvvtOUKVM0ePDgLP3j4uIUExOjQYMGSZJGjhyppUuX6v3339fkyZNljNGECRP0+uuvq3379pKkzz77TEFBQZo/f746d+58/RYOAAAAAC5ToKtEuru768iRI1n2ap04cUKBgYFKT08vlOIudf78eW3atElDhgyx2tzc3BQVFaU1a9ZkO8+aNWs0cOBAp7bo6GjNnz9fkrRv3z4lJCQoKirKml66dGlFRERozZo1OQa21NRUpaamWveTk5MLuli4zg68Wd/VJWRxIamsJPf//X3YljVWHPqLq0sAAAC4KRUosOV0hcjU1FSVKFHiqgrKyfHjx5Wenq6goCCn9qCgIO3cuTPbeRISErLtn5CQYE3PbMupT3ZGjRqlESNG5HsZwgd9lu95rjXfUynWiYxHTqXYssZNY7oV2lh2DB7FunSREhMv/u0XoopD411b0DV2x3t3uLqELDySPeTQxd+TTEhOsGWNq/quKrSxIn9YWWhjFZZ/dOmi0/97H3gGByty1iwXV3RtxY6739UlZLG6yz91LvGMJMnHv6QtayxMr33+patLcNKlSxf99b/3QOlyAXrt8xv7PSBJO95a7uoSnKSd/svpb7vVJ0m1X7ur0MYaPnx4oY1VWJKSkpz+tmONrqgpX4Ft4sSJkiSHw6FPPvlE3t7e1rT09HT98MMPqlWrVuFWaENDhgxx2nOXnJys0NBQF1YEAAAA4EaUr8D27rvvSrq4h23y5Mlyd3e3ppUoUUJhYWGaPHly4Vb4P+XKlZO7u7sS//e/T5kSExMVHByc7TzBwcG59s/8NzExUeXLl3fqk9uPgnt4eMjDw6MgiwEAAAAAeZav32Hbt2+f9u3bp8jISG3dutW6v2/fPu3atUtLlixRRETENSm0RIkSCg8P17Jly6y2jIwMLVu2TM2aNct2nmbNmjn1l6SlS5da/StXrqzg4GCnPsnJyVq3bl2OYwIAAADA9VKgc9hWrFhR2HXkycCBA9W9e3c1btxYTZo00YQJE3T27FnrqpHdunVThQoVNGrUKElS//79FRkZqXHjxum+++7T7NmztXHjRn300UeSLh7aOWDAAP3tb39T9erVrcv6h4SEqEOHDi5ZRgAAAADIVKDAdvmVFzM5HA55enqqWrVqat++faH/iHanTp107NgxDR06VAkJCWrYsKEWL15sXTTkwIEDcnP7/52GzZs316xZs/T666/r1VdfVfXq1TV//nzrN9gk6eWXX9bZs2f19NNPKykpSXfeeacWL17Mb7ABAAAAcLkCBbb//Oc/2rx5s9LT01WzZk1J0u7du+Xu7q5atWrpgw8+0IsvvqiffvpJderUKdSCY2NjFRsbm+20+Pj4LG2PPPKIHnnkkRzHczgcevPNN/Xmm28WVokAAAAAUCjydQ5bpvbt2ysqKkqHDx/Wpk2btGnTJv3xxx+6++679dhjj+nQoUNq2bKlXnjhhcKuFwAAAABuGgUKbGPGjNHIkSPl6+trtZUuXVrDhw/X3//+d5UsWVJDhw7Vpk2bCq1QAAAAALjZFCiwnT59WkePHs3SfuzYMSUnJ0uS/Pz8dP78+aurDgAAAABuYgU6h619+/Z68sknNW7cON1+++2SpA0bNuill16yrq64fv161ahRo9AKBQAAwI2j9mt3uboEJ8W7fCL9dfri36U9bVcfbl4FCmz/+Mc/9MILL6hz5866cOHCxYGKFVP37t2tH9euVauWPvnkk8KrFAAAAABuMgUKbN7e3vr444/17rvv6rfffpMkValSRd7e3lafhg0bFkqBAAAAAHCzKlBgy+Tt7a0GDRoUVi0AAAAAgEsUKLCdPXtWo0eP1rJly3T06FFlZGQ4Tc/c6wYAAAAAKLgCBbannnpKK1eu1BNPPKHy5cvL4XAUdl0AAAAAcNMrUGD7/vvv9d133+mOO+4o7HoAAAAAAP9ToN9hK1OmjPz9/Qu7FgAAAADAJQoU2EaOHKmhQ4fq3LlzhV0PAAAAAOB/CnRI5Lhx4/Trr78qKChIYWFhKl68uNP0zZs3F0pxAAAAAHAzK1Bg69ChQyGXAQAAAAC4XIEC27Bhwwq7DgAAAADAZQp0DpskJSUl6ZNPPtGQIUN08uRJSRcPhTx06FChFQcAAAAAN7MC7WH7+eefFRUVpdKlS2v//v3q3bu3/P399fXXX+vAgQP67LPPCrtOAAAAALjpFGgP28CBA9WjRw/t2bNHnp6eVnvbtm31ww8/FFpxAAAAAHAzK1Bg27Bhg/r06ZOlvUKFCkpISLjqogAAAAAABQxsHh4eSk5OztK+e/duBQQEXHVRAAAAAIACBrYHHnhAb775ptLS0iRJDodDBw4c0CuvvKKOHTsWaoEAAAAAcLMqUGAbN26cUlJSFBgYqD///FORkZGqVq2afHx89NZbbxV2jQAAAABwUyrQVSJLly6tpUuXatWqVdq6datSUlJ02223KSoqqrDrAwAAAICbVr4DW1pamry8vLRlyxbdcccduuOOO65FXQAAAABw08v3IZHFixdXxYoVlZ6efi3qAQAAAAD8T4HOYXvttdf06quv6uTJk4VdDwAAAADgfwp0Dtv777+vvXv3KiQkRJUqVVKpUqWcpm/evLlQirvRbBrTzdUlZNGly2IlJp6VJJUv460VNqwRAAAAuFkVKLC1b99eDoejsGsBAAAAAFyiQIFt+PDhhVwGAAAAAOByBTqHrUqVKjpx4kSW9qSkJFWpUuWqiwIAAAAAFDCw7d+/P9urRKampuqPP/646qIAAAAAAPk8JHLBggXW30uWLFHp0qWt++np6Vq2bJkqV65ceNUBAAAAwE0sX4GtQ4cOkiSHw6Hu3bs7TStevLjCwsI0bty4QisOAAAAAG5m+QpsGRkZkqTKlStrw4YNKleu3DUpCgAAAACQz3PY1qxZo4ULF2rfvn1WWPvss89UuXJlBQYG6umnn1Zqauo1KRQAAAAAbjb5CmwjRozQtm3brPu//PKLevXqpaioKA0ePFjffvutRo0aVehFAgAAAMDNKF+BbevWrWrTpo11f/bs2YqIiNDHH3+sgQMHauLEifriiy8KvUgAAAAAuBnlK7CdOnVKQUFB1v2VK1fq3nvvte7ffvvtOnjwYOFVBwAAAAA3sXwFtqCgIO3bt0+SdP78eW3evFlNmza1pp85c0bFixcv3AoBAAAA4CaVr8DWtm1bDR48WD/++KOGDBmikiVLqkWLFtb0n3/+WVWrVi30IgEAAADgZpSvy/qPHDlSDz30kCIjI+Xt7a3p06erRIkS1vQpU6bonnvuKfQiAQAAAOBmlK/AVq5cOf3www86ffq0vL295e7u7jR97ty58vb2LtQCAQAAAOBmla/Alql06dLZtvv7+19VMQBufKv6rnJ1CVl0WdNFiX8mSpKCfYM1q+8sF1cEAABwUb7OYQMAAAAAXD8F2sMGAABuLAEBAdn+DQBwrSKzh+3kyZPq2rWrfH195efnp169eiklJSXXef766y89//zzKlu2rLy9vdWxY0clJiY69XE4HFlus2fPvpaLAgCA7cTFxWnWrFmaNWuW4uLiXF0OAOB/ikxg69q1q7Zt26alS5dq4cKF+uGHH/T000/nOs8LL7ygb7/9VnPnztXKlSt1+PBhPfTQQ1n6TZ06VUeOHLFuHTp0uEZLAQAAAAB5VyQOidyxY4cWL16sDRs2qHHjxpKk9957T23bttXYsWMVEhKSZZ7Tp0/r008/1axZs3TXXXdJuhjMateurbVr1zr94Lefn5+Cg4PzXE9qaqpSU1Ot+8nJyQVdNAAAAADIUZHYw7ZmzRr5+flZYU2SoqKi5ObmpnXr1mU7z6ZNm5SWlqaoqCirrVatWqpYsaLWrFnj1Pf5559XuXLl1KRJE02ZMkXGmFzrGTVqlEqXLm3dQkNDr2LpAAAAACB7RSKwJSQkKDAw0KmtWLFi8vf3V0JCQo7zlChRQn5+fk7tQUFBTvO8+eab+uKLL7R06VJ17NhRzz33nN57771c6xkyZIhOnz5t3Q4ePFiwBQMAAACAXLj0kMjBgwfrnXfeybXPjh07rmkNb7zxhvV3o0aNdPbsWY0ZM0b9+vXLcR4PDw95eHhc07oAAAAAwKWB7cUXX1SPHj1y7VOlShUFBwfr6NGjTu0XLlzQyZMnczz3LDg4WOfPn1dSUpLTXrbExMRcz1eLiIjQyJEjlZqaSigDAAAA4FIuDWwBAQF5+q2XZs2aKSkpSZs2bVJ4eLgkafny5crIyFBERES284SHh6t48eJatmyZOnbsKEnatWuXDhw4oGbNmuX4WFu2bFGZMmUIawAAAABcrkhcJbJ27dqKiYlR7969NXnyZKWlpSk2NladO3e2rhB56NAhtWnTRp999pmaNGmi0qVLq1evXho4cKD8/f3l6+urvn37qlmzZtYVIr/99lslJiaqadOm8vT01NKlS/X222/rpZdecuXiAgAAAICkIhLYJGnmzJmKjY1VmzZt5Obmpo4dO2rixInW9LS0NO3atUvnzp2z2t59912rb2pqqqKjo/XBBx9Y04sXL65JkybphRdekDFG1apV0/jx49W7d+/rumwAAAAAkJ0iE9j8/f01a9asHKeHhYVluRy/p6enJk2apEmTJmU7T0xMjGJiYgq1TgAAAAAoLEXisv4AAAAAcDMisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANhUkbmsPwAAwI0qICAg278BgMAGAADgYnFxca4uAYBNcUgkAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANhUMVcXAAAAAOD6Gj58uKtLyKJLly5KTEyUJPn5+dmyRldgDxsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKa4rD8AwOUCAgKy/RsAgJsdgQ0A4HJxcXGuLgEAAFvikEgAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYVJEJbCdPnlTXrl3l6+srPz8/9erVSykpKbnO89FHH6lVq1by9fWVw+FQUlJSoYwLAAAAANdDkQlsXbt21bZt27R06VItXLhQP/zwg55++ulc5zl37pxiYmL06quvFuq4AAAAAHA9FHN1AXmxY8cOLV68WBs2bFDjxo0lSe+9957atm2rsWPHKiQkJNv5BgwYIEmKj48v1HEBAAAA4HooEnvY1qxZIz8/PytUSVJUVJTc3Ny0bt266z5uamqqkpOTnW4AAAAAUNiKRGBLSEhQYGCgU1uxYsXk7++vhISE6z7uqFGjVLp0aesWGhpa4BoAAAAAICcuDWyDBw+Ww+HI9bZz505XlpitIUOG6PTp09bt4MGDri4JAAAAwA3Ipeewvfjii+rRo0eufapUqaLg4GAdPXrUqf3ChQs6efKkgoODC/z4BR3Xw8NDHh4eBX5cAAAAAMgLlwa2gIAABQQEXLFfs2bNlJSUpE2bNik8PFyStHz5cmVkZCgiIqLAj3+txgUAAACAwlAkzmGrXbu2YmJi1Lt3b61fv16rVq1SbGysOnfubF3J8dChQ6pVq5bWr19vzZeQkKAtW7Zo7969kqRffvlFW7Zs0cmTJ/M8LgAAAAC4SpEIbJI0c+ZM1apVS23atFHbtm1155136qOPPrKmp6WladeuXTp37pzVNnnyZDVq1Ei9e/eWJLVs2VKNGjXSggUL8jwuAAAAALhKkfgdNkny9/fXrFmzcpweFhYmY4xT2/DhwzV8+PCrGhcAAAAAXKXIBDbgRnXpeZx5OacTAAAANw8CG+BicXFxri4BAAAANlVkzmEDAAAAgJsNgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFP8DhsAAABuegEBAdn+DbgagQ0AAAA3vbi4OFeXAGSLQyIBAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsqpirC4BrBQQEZPs3AAAAANcjsN3k4uLiXF0CAAAAgBxwSCQAAAAA2BSBDQAAAABsqsgEtpMnT6pr167y9fWVn5+fevXqpZSUlFzn+eijj9SqVSv5+vrK4XAoKSkpS5+wsDA5HA6n2+jRo6/RUgAAAABA3hWZwNa1a1dt27ZNS5cu1cKFC/XDDz/o6aefznWec+fOKSYmRq+++mqu/d58800dOXLEuvXt27cwSwcAAACAAikSFx3ZsWOHFi9erA0bNqhx48aSpPfee09t27bV2LFjFRISku18AwYMkCTFx8fnOr6Pj4+Cg4MLs2QAAAAAuGpFYg/bmjVr5OfnZ4U1SYqKipKbm5vWrVt31eOPHj1aZcuWVaNGjTRmzBhduHAh1/6pqalKTk52ugEAAABAYSsSe9gSEhIUGBjo1FasWDH5+/srISHhqsbu16+fbrvtNvn7+2v16tUaMmSIjhw5ovHjx+c4z6hRozRixIirelwAAAAAuBKX7mEbPHhwlgt+XH7buXPnNa1h4MCBatWqlRo0aKBnnnlG48aN03vvvafU1NQc5xkyZIhOnz5t3Q4ePHhNawQAAABwc3LpHrYXX3xRPXr0yLVPlSpVFBwcrKNHjzq1X7hwQSdPniz0c88iIiJ04cIF7d+/XzVr1sy2j4eHhzw8PAr1cQEAAADgci4NbAEBAQoICLhiv2bNmikpKUmbNm1SeHi4JGn58uXKyMhQREREoda0ZcsWubm5ZTkEEwAAAACutyJxDlvt2rUVExOj3r17a/LkyUpLS1NsbKw6d+5sXSHy0KFDatOmjT777DM1adJE0sVz3xISErR3715J0i+//CIfHx9VrFhR/v7+WrNmjdatW6fWrVvLx8dHa9as0QsvvKDHH39cZcqUcdnyAgAAAIBURK4SKUkzZ85UrVq11KZNG7Vt21Z33nmnPvroI2t6Wlqadu3apXPnzlltkydPVqNGjdS7d29JUsuWLdWoUSMtWLBA0sVDG2fPnq3IyEjVrVtXb731ll544QWncQEAAADAVYrEHjZJ8vf316xZs3KcHhYWJmOMU9vw4cM1fPjwHOe57bbbtHbt2sIqEQAAAAAKVZHZwwYAAAAANxsCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbKjJXiQSAayUgICDbvwEAAFyNwAbgphcXF+fqEgAAALLFIZEAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2VWQC28mTJ9W1a1f5+vrKz89PvXr1UkpKSq79+/btq5o1a8rLy0sVK1ZUv379dPr0aad+Bw4c0H333aeSJUsqMDBQgwYN0oULF6714gAAAADAFRVzdQF51bVrVx05ckRLly5VWlqaevbsqaefflqzZs3Ktv/hw4d1+PBhjR07VnXq1NHvv/+uZ555RocPH9aXX34pSUpPT9d9992n4OBgrV69WkeOHFG3bt1UvHhxvf3229dz8QAAAAAgC4cxxri6iCvZsWOH6tSpow0bNqhx48aSpMWLF6tt27b6448/FBISkqdx5s6dq8cff1xnz55VsWLF9P3336tdu3Y6fPiwgoKCJEmTJ0/WK6+8omPHjqlEiRJ5Gjc5OVmlS5fW6dOn5evrW7CFBAAAAG5iXbp0UWJioiQpKCgoxx0zdlfY2aBIHBK5Zs0a+fn5WWFNkqKiouTm5qZ169bleZzMJ61YsWLWuPXr17fCmiRFR0crOTlZ27Zty3Gc1NRUJScnO90AAAAAoLAVicCWkJCgwMBAp7ZixYrJ399fCQkJeRrj+PHjGjlypJ5++mmncS8Na5Ks+7mNO2rUKJUuXdq6hYaG5nVRAAAAACDPXBrYBg8eLIfDkett586dV/04ycnJuu+++1SnTh0NHz78qscbMmSITp8+bd0OHjx41WMCAAAAwOVcetGRF198UT169Mi1T5UqVRQcHKyjR486tV+4cEEnT55UcHBwrvOfOXNGMTEx8vHx0bx581S8eHFrWnBwsNavX+/UP/O42dzG9fDwkIeHR66PCwAAAABXy6WBLSAgQAEBAVfs16xZMyUlJWnTpk0KDw+XJC1fvlwZGRmKiIjIcb7k5GRFR0fLw8NDCxYskKenZ5Zx33rrLR09etQ65HLp0qXy9fVVnTp1rmLJAAAAAODqFYlz2GrXrq2YmBj17t1b69ev16pVqxQbG6vOnTtbV4g8dOiQatWqZe0xS05O1j333KOzZ8/q008/VXJyshISEpSQkKD09HRJ0j333KM6deroiSee0NatW7VkyRK9/vrrev7559mDBgAAAMDliszvsM2cOVOxsbFq06aN3Nzc1LFjR02cONGanpaWpl27duncuXOSpM2bN1tXkKxWrZrTWPv27VNYWJjc3d21cOFCPfvss2rWrJlKlSql7t27680337x+CwYAAAAAOSgygc3f3z/X32IICwvTpT8p16pVK+XlJ+YqVaqkRYsWFUqNAAAAAFCYisQhkQAAAABwMyoye9gAAAAA3LguvRhhXi5MeLMgsAEAAABwubi4OFeXYEscEgkAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANlXM1QXcCIwxkqTk5GQXVwIAAADAlTIzQWZGuFoEtkJw5swZSVJoaKiLKwEAAABgB2fOnFHp0qWvehyHKazodxPLyMjQ4cOH5ePjI4fD4epy8i05OVmhoaE6ePCgfH19XV3OTYnXwPV4DVyP18D1eA1ci+ff9XgNXO9GeA2MMTpz5oxCQkLk5nb1Z6Cxh60QuLm56ZZbbnF1GVfN19e3yL4xbhS8Bq7Ha+B6vAaux2vgWjz/rsdr4HpF/TUojD1rmbjoCAAAAADYFIENAAAAAGyKwAZ5eHho2LBh8vDwcHUpNy1eA9fjNXA9XgPX4zVwLZ5/1+M1cD1eg6y46AgAAAAA2BR72AAAAADApghsAAAAAGBTBDYAAAAAsCkCWxE2fPhwNWzY0NVlAC6xf/9+ORwObdmyJcc+8fHxcjgcSkpKum51IXutWrXSgAEDCmWsvLz2yB3vDQDX0rRp0+Tn5+fqMgqdq75/CGz5MHnyZPn4+OjChQtWW0pKiooXL65WrVo59c38Mvz111+vc5VXr3PnzoqJiXFqW7x4sRwOh4YPH+7UPnz4cFWsWPE6Vnd99OjRQx06dHDJYw8fPlwOhyPLayBJY8aMkcPhyLK+FUXHjh3Ts88+q4oVK8rDw0PBwcGKjo7WqlWr8jR/aGiojhw5onr16l3jSrPncDjkcDi0du1ap/bU1FSVLVtWDodD8fHxLqnNVXr06GE9L5fe9u7d6+rSbirZvQaX3i7/HEfeXb6Oly1bVjExMfr555/zPAb/2Zq7q/1uuFkkJCSob9++qlKlijw8PBQaGqr7779fy5YtK9THKej62qlTJ+3evbvQ6qhVq5Y8PDyUkJBQaGMWhKu2PQhs+dC6dWulpKRo48aNVtuPP/6o4OBgrVu3Tn/99ZfVvmLFClWsWFFVq1Z1Ral5lpaWlqWtdevWWrVqlVMwXbFihUJDQ7NsgK5YsUKtW7e+1mXazvnz56/p+OXLl9eKFSv0xx9/OLVPmTLlhgnIHTt21H/+8x9Nnz5du3fv1oIFC9SqVSudOHEiT/O7u7srODhYxYoVu6Z15vZah4aGaurUqU5t8+bNk7e39zWtyc5iYmJ05MgRp1vlypVdXdZN5dLnfsKECfL19XVqe+mll67ZY2f3nXKjuXQdX7ZsmYoVK6Z27dq5uqwbxtV+N1wr1/p7Pz/279+v8PBwLV++XGPGjNEvv/yixYsXq3Xr1nr++eddXZ4kycvLS4GBgYUy1k8//aQ///xTDz/8sKZPn14oYxbE+fPnr9u2x+UIbPlQs2ZNlS9f3im0xMfHq3379qpcubLT/7THx8dbQSY1NVX9+vVTYGCgPD09deedd2rDhg1OfR0Oh5YtW6bGjRurZMmSat68uXbt2uX0+KNHj1ZQUJB8fHzUq1cvp4CY6ZNPPlHt2rXl6empWrVq6YMPPrCmZe7GnTNnjiIjI+Xp6amZM2dmGSO7YBofH6/Bgwc7BdO//vpL69ats5bzwIEDat++vby9veXr66tHH31UiYmJ1hiZ/0uTGTq8vb313HPPKT09XX//+98VHByswMBAvfXWW071jB8/XvXr11epUqUUGhqq5557TikpKdb0zN3uS5YsUe3ateXt7W19oRaWVq1aKTY2VgMGDFC5cuUUHR0tSVq5cqWaNGkiDw8PlS9fXoMHD3YKuq1atVK/fv308ssvy9/fX8HBwXn63+3AwEDdc889Th9Mq1ev1vHjx3Xfffc59d2wYYPuvvtulStXTqVLl1ZkZKQ2b97s1MfhcOiTTz7Rgw8+qJIlS6p69epasGDBVTwjVycpKUk//vij3nnnHbVu3VqVKlVSkyZNNGTIED3wwANWzR9++KHuvfdeeXl5qUqVKvryyy+tMbI7LGHRokWqUaOGvLy81Lp1a+3fvz/LY//0009q0aKFvLy8FBoaqn79+uns2bPW9LCwMI0cOVLdunWTr6+vnn766RyXo3v37po9e7b+/PNPq23KlCnq3r17lr6vvPKKatSooZIlS6pKlSp64403nDZuM98fM2bMUFhYmEqXLq3OnTvrzJkzeXpO7SLzf8Qvvbm7u2fpN2PGDDVu3Fg+Pj4KDg5Wly5ddPToUWv6qVOn1LVrVwUEBMjLy0vVq1fPEo5/++03tW7dWiVLltStt96qNWvWXPPlKwoufe5Lly4th8Ph1Hbpfyhs2rQp1++dDz/8UFWrVlWJEiVUs2ZNzZgxw2l65vv0gQceUKlSpbJ8ft+ILl3HGzZsqMGDB+vgwYM6duyYpNzf69OmTdOIESO0detWay/dtGnTJF18Lv/xj3+oXbt2KlmypGrXrq01a9Zo7969atWqlUqVKqXmzZs7Hbnz66+/qn379goKCpK3t7duv/12/fvf/3aqNywsTG+//baefPJJ+fj4qGLFivroo4+uz5OVT1f6bsjucz8pKcnpiIbMbarvvvtODRo0kKenp5o2bar//ve/To9VkO+CzO2NhQsXqmbNmipZsqQefvhhnTt3TtOnT1dYWJjKlCmjfv36KT093RrrSp93ed0OzPTcc8/J4XBo/fr16tixo2rUqKG6detq4MCBTtuied1+mj9/vqpXry5PT09FR0fr4MGD1vSc1te8jp3par7jPv30U3Xp0kVPPPGEpkyZkmV6WFiY/va3v6lbt27y9vZWpUqVtGDBAh07dszaLm3QoIHTdq1UsHUgu3Vw27ZtateunXx9feXj46MWLVpY79O8bKPliUG+dOnSxdxzzz3W/dtvv93MnTvXPPPMM2bo0KHGGGPOnTtnPDw8zLRp04wxxvTr18+EhISYRYsWmW3btpnu3bubMmXKmBMnThhjjFmxYoWRZCIiIkx8fLzZtm2badGihWnevLn1OHPmzDEeHh7mk08+MTt37jSvvfaa8fHxMbfeeqvV5/PPPzfly5c3X331lfntt9/MV199Zfz9/a069u3bZySZsLAwq8/hw4ezXc6QkBDz9ttvG2OMSU5ONsWKFTNHjx41tWrVMsuXLzfGGLNs2TIjyezfv9+kp6ebhg0bmjvvvNNs3LjRrF271oSHh5vIyEhrzGHDhhlvb2/z8MMPm23btpkFCxaYEiVKmOjoaNO3b1+zc+dOM2XKFCPJrF271prv3XffNcuXLzf79u0zy5YtMzVr1jTPPvusNX3q1KmmePHiJioqymzYsMFs2rTJ1K5d23Tp0iXfr2+m7t27m/bt21v3IyMjjbe3txk0aJDZuXOn2blzp/njjz9MyZIlzXPPPWd27Nhh5s2bZ8qVK2eGDRvmNJ+vr68ZPny42b17t5k+fbpxOBzmX//6V46PPWzYMHPrrbear7/+2lSrVs1q79Wrl+nfv7/p37+/0/O6bNkyM2PGDLNjxw6zfft206tXLxMUFGSSk5OtPpLMLbfcYmbNmmX27Nlj+vXrZ7y9va118HpLS0sz3t7eZsCAAeavv/7Kto8kU7ZsWfPxxx+bXbt2mddff924u7ub7du3G2P+f33+z3/+Y4wx5sCBA8bDw8MMHDjQ7Ny503z++ecmKCjISDKnTp0yxhizd+9eU6pUKfPuu++a3bt3m1WrVplGjRqZHj16WI9bqVIl4+vra8aOHWv27t1r9u7dm2N98+bNMw0aNDAzZswwxhjz+++/Gw8PD7N7924jyaxYscLqP3LkSLNq1Sqzb98+s2DBAhMUFGTeeecda3rm++Ohhx4yv/zyi/nhhx9McHCwefXVVwv6NF93l79vLhUZGWn69+9v3f/000/NokWLzK+//mrWrFljmjVrZu69915r+vPPP28aNmxoNmzYYPbt22eWLl1qFixYYIz5/9e+Vq1aZuHChWbXrl3m4YcfNpUqVTJpaWnXchGLnKlTp5rSpUtnac/L987XX39tihcvbiZNmmR27dplxo0bZ9zd3a3vAGMuvg8CAwPNlClTzK+//mp+//3367FYLnP5On7mzBnTp08fU61aNZOenm6Myf29fu7cOfPiiy+aunXrmiNHjpgjR46Yc+fOGWMuPpcVKlQwc+bMMbt27TIdOnQwYWFh5q677jKLFy8227dvN02bNjUxMTHW42/ZssVMnjzZ/PLLL2b37t3m9ddfN56enk6vQ6VKlYy/v7+ZNGmS2bNnjxk1apRxc3MzO3fuvA7PWP5c6bvh8s99Y4w5deqU0+dt5rpdu3Zt869//cv8/PPPpl27diYsLMycP3/eGFPw74LM7Y27777bbN682axcudKULVvW3HPPPebRRx8127ZtM99++60pUaKEmT17tjXWlT7v8vJ+zHTixAnjcDisbbTc5HX7qXHjxmb16tVm48aNpkmTJtbj5ra+5mXsSz97Cvodl5ycbEqVKmX++9//mgsXLpigoCDzww8/OPXJXMcnT55sdu/ebZ599lnj6+trYmJizBdffGG9n2rXrm0yMjKMMQVfBy5fB//44w/j7+9vHnroIbNhwwaza9cuM2XKFOv9lZdttLwgsOXTxx9/bEqVKmXS0tKcgsysWbNMy5YtjTH/H2R+//13k5KSYooXL25mzpxpjXH+/HkTEhJi/v73vxtj/v+N+u9//9vq89133xlJ5s8//zTGGNOsWTPz3HPPOdUSERHhFNiqVq1qZs2a5dRn5MiRplmzZsaY//+gmzBhwhWXs2vXrlYw/e6770ydOnWMMcY8/fTTVjB94403TOXKlY0xxvzrX/8y7u7u5sCBA9YY27ZtM5LM+vXrjTEX36wlS5Z0Wkmjo6NNWFiY9UVnjDE1a9Y0o0aNyrG2uXPnmrJly1r3p06daiQ5bVhPmjTJBAUFXXE5c5JdYGvUqJFTn1dffdXUrFnTevNnPq63t7e1PJGRkebOO+90mu/22283r7zySo6PnRnYzp8/bwIDA83KlStNSkqK8fHxMVu3bs0S2C6Xnp5ufHx8zLfffmu1STKvv/66dT8lJcVIMt9//32uz8O19OWXX5oyZcoYT09P07x5czNkyBCzdetWa7ok88wzzzjNExERYX0hXP6hOWTIEGs9zfTKK684BbZevXqZp59+2qnPjz/+aNzc3Kz3WqVKlUyHDh2uWH9mYJswYYJp3bq1McaYESNGmAcffDDLBkR2xowZY8LDw6372b0/Bg0aZCIiIq5Yi110797duLu7m1KlSlm3hx9+2BiTNbBdbsOGDUaSOXPmjDHGmPvvv9/07Nkz276Zr/0nn3xitWV+3uzYsaPwFugGcKXAltv3TvPmzU3v3r2d5nvkkUdM27ZtrfuSzIABA65N8TZ0+TouyZQvX95s2rQpx3mye69f+t2d6fLP6TVr1hhJ5tNPP7Xa/vnPfxpPT89ca6xbt6557733rPuVKlUyjz/+uHU/IyPDBAYGmg8//DDXcVwlt++G/AS2SwPTiRMnjJeXl5kzZ44xpuDfBdltb/Tp08eULFnS+uwy5uK2TZ8+fXJcxss/7/Lyfsy0bt06I8l8/fXXOY6fk5y2ny79T/IdO3YYSWbdunXGmJzX17yMfXlgK8h33EcffWQaNmxo3e/fv7/p3r27U5/L1/EjR44YSeaNN96w2jLfT0eOHDHGFHwdyG7bo3LlytZ/BlxJdttoecEhkfnUqlUrnT17Vhs2bNCPP/6oGjVqKCAgQJGRkdbhgvHx8apSpYoqVqyoX3/9VWlpabrjjjusMYoXL64mTZpox44dTmM3aNDA+rt8+fKSZO0y37FjhyIiIpz6N2vWzPr77Nmz+vXXX9WrVy95e3tbt7/97W9ZLnzSuHHjPC3nqlWrlJaWpvj4eOsiF5GRkU6HHWQeDrljxw6FhoYqNDTUGqNOnTry8/NzWs6wsDD5+PhY94OCglSnTh25ubk5tV16qMC///1vtWnTRhUqVJCPj4+eeOIJnThxQufOnbP6lCxZ0ul8wfLlyzuNURjCw8Od7u/YsUPNmjWTw+Gw2u644w6lpKQ4nXt26euan9qKFy+uxx9/XFOnTtXcuXNVo0aNLGNJUmJionr37q3q1aurdOnS8vX1VUpKig4cOODU79J5S5UqJV9f30J/jvKjY8eOOnz4sBYsWKCYmBjFx8frtttusw63kJzX8cz7l79vMl3pPSJJW7du1bRp05zeI9HR0crIyNC+ffusfpe+R5555hmn/pd7/PHHtWbNGv3222+aNm2annzyyWzrmzNnju644w7rkLTXX389y2t0+fvjWqzH11rr1q21ZcsW6zZx4sRs+23atEn333+/KlasKB8fH0VGRkqS9Zw8++yzmj17tho2bKiXX35Zq1evzjJGbp+ZyJsrfe9c+t0lXfyMu/w9mJfvlBvJpev4+vXrFR0drXvvvVe///67pLy913Ny6esRFBQkSapfv75T219//aXk5GRJFy989tJLL6l27dry8/OTt7e3duzYkevnf+YhsnZ9r+TluyEvLv389/f3V82aNa11tyDfBZku394ICgpSWFiY0/fD5dsxV/q8y5SXzzRjTJ6fg7xsPxUrVky33367db9WrVpZtt0KOvblCvIdN2XKFD3++OPW/ccff1xz587NcihlXt470v8/n1ezDlxqy5YtatGihYoXL57t9Lxuo10JgS2fqlWrpltuuUUrVqzQihUrrDddSEiIQkNDtXr1aq1YsUJ33XVXvse+9MXODAEZGRl5mjfzuOGPP/7YaWPpv//9b5ar2JUqVeqK47Vu3doKppcuZ2YwPXnypNatW5fv5bx8hXY4HNm2ZS73/v371a5dOzVo0EBfffWVNm3apEmTJklyPgE4uzHy86GWF3l53rKT2/JdyZNPPqm5c+dq0qRJOQaB7t27a8uWLYqLi9Pq1au1ZcsWlS1bNssJ0ldTx7Xi6empu+++W2+88YZWr16tHj16aNiwYdfs8VJSUtSnTx+n98jWrVu1Z88epy/gS1/rN99806n/5cqWLat27dpZ55Xee++9WfqsWbNGXbt2Vdu2bbVw4UL95z//0WuvvVYkXqP8KlWqlKpVq2bdMjc6LnX27FlFR0fL19dXM2fO1IYNGzRv3jxJ//++ztwAfuGFF3T48GG1adMmy8UyruYzExcVxnNY0M/GourSdfz222/XJ598orNnz+rjjz/O83s9J9m9Hrm9Ri+99JLmzZunt99+Wz/++KO2bNmi+vXrF/nPlpy+GzL/c/fS7/eCXOimIN8FmfK7HZOXz7vsxs7p/Vi9enU5HA7t3Lkz12XM6/ZTQRR07Pyuh9u3b9fatWv18ssvq1ixYipWrJiaNm2qc+fOafbs2TmOnZf3ztWsA5fy8vLKdXpet9Gu5Ppe4uQG0bp1a8XHx+vUqVMaNGiQ1d6yZUt9//33Wr9+vZ599llJsk7WXrVqlSpVqiTp4ofLhg0b8vWbRLVr19a6devUrVs3q+3SIBYUFKSQkBD99ttv6tq161Uu4cW6Q0NDtWDBAm3ZssUKbBUqVFCFChU0btw4nT9/3trDVrt2bR08eFAHDx609rJt375dSUlJqlOnToHr2LRpkzIyMjRu3Djrg/qLL764yqUrHLVr19ZXX30lY4z1QbBq1Sr5+PjolltuKZTHqFu3rurWrauff/5ZXbp0ybbPqlWr9MEHH6ht27aSpIMHD+r48eOF8vjXW506dTR//nzr/tq1a7Os840aNcp23tq1a2e5kMrl/1lx2223afv27apWrVqeawoMDLzila6efPJJtW3bVq+88kq2F9hYvXq1KlWqpNdee81qy/zf+JvRzp07deLECY0ePdr6vLj8ZHBJCggIUPfu3dW9e3e1aNFCgwYN0tixY693uTet2rVra9WqVU4X0Vm1atVVfabfiBwOh9zc3PTnn3/m6b1eokQJpwtSXI1Vq1apR48eevDBByVd3AjN7mJLRV3md0NAQICki1dCzfwuyOn3sNauXWtdVfnUqVPavXu3ateuLalg3wUFldfPu7zy9/dXdHS0Jk2apH79+mUJFElJSfLz88vz9tOFCxe0ceNGNWnSRJK0a9cuJSUlWc9Vduvr9do2+/TTT9WyZUsrDGaaOnWqPv30U/Xu3bvAYxfWOtCgQQNNnz5daWlp2e5lK6xtNPawFUDr1q31008/OQUZ6eLep3/84x9OQaZUqVJ69tlnNWjQIC1evFjbt29X7969de7cOfXq1SvPj9m/f39NmTJFU6dO1e7duzVs2DBt27bNqc+IESM0atQoTZw4Ubt379Yvv/yiqVOnavz48QVezg8++EDVqlWzdiVnLud7772nGjVqKCQkRJIUFRWl+vXrq2vXrtq8ebPWr1+vbt26KTIy8qoOl6lWrZrS0tL03nvv6bffftOMGTM0efLkAo9XmJ577jkdPHhQffv21c6dO/XNN99o2LBhGjhwoNMhnldr+fLlOnLkSI4/QFm9enXNmDFDO3bs0Lp169S1a9cr/o+Pq504cUJ33XWXPv/8c/3888/at2+f5s6dq7///e9q37691W/u3LmaMmWKtc6vX79esbGx2Y75zDPPaM+ePRo0aJB27dqlWbNmZTmE5pVXXtHq1asVGxurLVu2aM+ePfrmm29yHDOvYmJidOzYMb355pvZTq9evboOHDig2bNn69dff9XEiROt/2G9GVWsWFElSpSw3tcLFizQyJEjnfoMHTpU33zzjfbu3att27Zp4cKF1gYEro9BgwZp2rRp+vDDD7Vnzx6NHz9eX3/99TX9WYCiIDU1VQkJCUpISNCOHTvUt29fpaSk6P7778/Tez0sLEz79u3Tli1bdPz4caWmpha4lurVq+vrr7+29g506dLF1nvOruRK3w1eXl5q2rSpRo8erR07dmjlypV6/fXXsx3rzTff1LJly/Tf//5XPXr0ULly5azfV71W3wXZycvnXX5NmjRJ6enpatKkib766ivt2bNHO3bs0MSJE61DQfO6/VS8eHH17dtX69at06ZNm9SjRw81bdrUCnDZra/XY9ssLS1NM2bM0GOPPaZ69eo53Z566imtW7cuy3ZwfhTWOhAbG6vk5GR17txZGzdu1J49ezRjxgzrCp+FtY1GYCuA1q1b688//8w2yJw5c8a6/H+m0aNHq2PHjnriiSd02223ae/evVqyZInKlCmT58fs1KmT3njjDb388ssKDw/X77//bu3Fy/TUU0/pk08+0dSpU1W/fn1FRkZq2rRpBf4NpNatW+vMmTNZfqQ5czkv/f01h8Ohb775RmXKlFHLli0VFRWlKlWqaM6cOQV67Ey33nqrxo8fr3feeUf16tXTzJkzNWrUqKsas7BUqFBBixYt0vr163XrrbfqmWeeUa9evXL88iioUqVK5RjWpIv/A3Xq1CnddttteuKJJ6yfkLAzb29vRURE6N1331XLli1Vr149vfHGG+rdu7fef/99q9+IESM0e/ZsNWjQQJ999pn++c9/5vi/+xUrVtRXX32l+fPn69Zbb9XkyZP19ttvO/Vp0KCBVq5cqd27d6tFixZq1KiRhg4dav3HQ0E5HA6VK1dOJUqUyHb6Aw88oBdeeEGxsbFq2LChVq9erTfeeOOqHrMoCwgI0LRp0zR37lzVqVNHo0ePzrLnrESJEhoyZIgaNGigli1byt3dPcshMLi2OnTooLi4OI0dO1Z169bVP/7xD02dOjXLd8LNZvHixSpfvrzKly+viIgIbdiwQXPnzlWrVq3y9F7v2LGjYmJi1Lp1awUEBOif//xngWsZP368ypQpo+bNm+v+++9XdHS0brvttqtdRJfJy3fDlClTdOHCBYWHh2vAgAH629/+lu1Yo0ePVv/+/RUeHq6EhAR9++231mf0tfouyE5ePu/yq0qVKtq8ebNat26tF198UfXq1dPdd9+tZcuW6cMPP5SU9+2nkiVL6pVXXlGXLl10xx13yNvb22nbLbv19Xpsmy1YsEAnTpyw9h5fqnbt2qpdu7Y+/fTTAo9fWOtA2bJltXz5cqWkpCgyMlLh4eH6+OOPrb1thbWN5jCFfaIPABQCh8OhefPmWf8jCgDAlWReEO3UqVO5/mcnLv5W2oABA5SUlOTqUnAF7GEDAAAAAJsisAEAAACATXFIJAAAAADYFHvYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgC4aTgcDs2fP9/VZQAAkGcENgDADSMhIUF9+/ZVlSpV5OHhodDQUN1///1atmyZq0u7oh49eqhDhw6uLgMAYDPFXF0AAACFYf/+/brjjjvk5+enMWPGqH79+kpLS9OSJUv0/PPPa+fOndfkcc+fP68SJUpck7ELwm71AACuDnvYAAA3hOeee04Oh0Pr169Xx44dVaNGDdWtW1cDBw7U2rVrrX7Hjx/Xgw8+qJIlS6p69epasGCBNS09PV29evVS5cqV5eXlpZo1ayouLs7pcTL3hL311lsKCQlRzZo1JUkzZsxQ48aN5ePjo+DgYHXp0kVHjx51mnfbtm1q166dfH195ePjoxYtWujXX3/V8OHDNX36dH3zzTdyOBxyOByKj4+XJB08eFCPPvqo/Pz85O/vr/bt22v//v1XrAcAcGMgsAEAiryTJ09q8eLFev7551WqVKks0/38/Ky/R4wYoUcffVQ///yz2rZtq65du+rkyZOSpIyMDN1yyy2aO3eutm/frqFDh+rVV1/VF1984TTesmXLtGvXLi1dulQLFy6UJKWlpWnkyJHaunWr5s+fr/3796tHjx7WPIcOHVLLli3l4eGh5cuXa9OmTXryySd14cIFvfTSS3r00UcVExOjI0eO6MiRI2revLnS0tIUHR0tHx8f/fjjj1q1apW8vb0VExOj8+fP51oPAODGwCGRAIAib+/evTLGqFatWlfs26NHDz322GOSpLffflsTJ07U+vXrFRMTo+LFi2vEiBFW38qVK2vNmjX64osv9Oijj1rtpUqV0ieffOJ06OGTTz5p/V2lShVNnDhRt99+u1JSUuTt7a1JkyapdOnSmj17tooXLy5JqlGjhjWPl5eXUlNTFRwcbLV9/vnnysjI0CeffCKHwyFJmjp1qvz8/BQfH6977rknx3oAADcGAhsAoMgzxuS5b4MGDay/S5UqJV9fX6dDFydNmqQpU6bowIED+vPPP3X+/Hk1bNjQaYz69etnCUebNm3S8OHDtXXrVp06dUoZGRmSpAMHDqhOnTrasmWLWrRoYYW1vNi6dav27t0rHx8fp/a//vpLv/76a671AABuDAQ2AECRV716dTkcjjxdWOTywORwOKxwNXv2bL300ksaN26cmjVrJh8fH40ZM0br1q1zmufywy7Pnj2r6OhoRUdHa+bMmQoICNCBAwcUHR1tHbro5eWV7+VKSUlReHi4Zs6cmWVaQEBAjvUAAG4cBDYAQJHn7++v6OhoTZo0Sf369csSYJKSkpzOY8vJqlWr1Lx5cz333HNW26V7snKyc+dOnThxQqNHj1ZoaKgkaePGjU59GjRooOnTpystLS3bvWwlSpRQenq6U9ttt92mOXPmKDAwUL6+vlesAwBw4+GiIwCAG8KkSZOUnp6uJk2a6KuvvtKePXu0Y8cOTZw4Uc2aNcvTGNWrV9fGjRu1ZMkS7d69W2+88YY2bNhwxfkqVqyoEiVK6L333tNvv/2mBQsWaOTIkU59YmNjlZycrM6dO2vjxo3as2ePZsyYoV27dkmSwsLC9PPPP2vXrl06fvy40tLS1LVrV5UrV07t27fXjz/+qH379ik+Pl79+vXTH3/8kf8nCQBQ5BDYAAA3hCpVqmjz5s1q3bq1XnzxRdWrV0933323li1bpg8//DBPY/Tp00cPPfSQOnXqpIiICJ04ccJpb1tOAgICNG3aNM2dO1d16tTR6NGjNXbsWKc+ZcuW1fLly5WSkqLIyEiFh4fr448/tva29e7dWzVr1lTjxo0VEBCgVatWqWTJkvrhhx9UsWJFPfTQQ6pdu7Z69eqlv/76iz1uAHCTcJj8nKkNAAAAALhu2MMGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBN/R/t+godrwmRuwAAAABJRU5ErkJggg=="},"metadata":{}}]},{"cell_type":"code","source":"numerical_columns = ['Strength', 'Speed', 'Intelligence']\nfor column in numerical_columns:\n plt.figure(figsize=(10, 6))\n sns.histplot(df[column], kde=True)\n plt.title(f\"Histogram of {column}\")\n plt.show()","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:00.288154Z","iopub.execute_input":"2024-07-21T17:50:00.288546Z","iopub.status.idle":"2024-07-21T17:50:01.426954Z","shell.execute_reply.started":"2024-07-21T17:50:00.288513Z","shell.execute_reply":"2024-07-21T17:50:01.425714Z"},"trusted":true},"execution_count":63,"outputs":[{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
","image/png":"iVBORw0KGgoAAAANSUhEUgAAA1IAAAIjCAYAAAAJLyrXAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABj/0lEQVR4nO3deXhU5f3+8Xu2zGQPITskYV9lRxA3RJBFqvATtSi1aBFbi1rFrbR1waXUpepXi1rbClZF61KxKqLsuCBCANkCQgTCloQkJJNtJsnM+f0RGI0sciDJZHm/rmsuMmeeOfM5cxIyd57lWAzDMAQAAAAAOGXWYBcAAAAAAE0NQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAFqwdu3a6frrrw92Gc3eE088oQ4dOshms6lv377BLqdeLF++XBaLRcuXLw92KQDQIAhSANBMzJ07VxaLRWvXrj3u4xdddJHOOuusM36dBQsW6MEHHzzj/bQUn376qe655x6dd955mjNnjv785z+ftP0HH3ygoUOHKiEhQWFhYerQoYOuvvpqLVy4sIEqBgCcCnuwCwAABM/27dtltZr7m9qCBQs0e/ZswtQpWrp0qaxWq/71r38pJCTkpG2ffPJJ3X333Ro6dKhmzJihsLAw7dy5U4sXL9abb76p0aNHN1DVAICfQpACgBbM6XQGuwTTysrKFB4eHuwyTlleXp5CQ0N/MkRVV1fr4Ycf1iWXXKJPP/30uPsBADQeDO0DgBbsx3OkqqqqNHPmTHXu3Fkul0utW7fW+eefr0WLFkmSrr/+es2ePVuSZLFYArejysrKdOeddyo1NVVOp1Ndu3bVk08+KcMwar1uRUWFbrvtNsXFxSkyMlKXX3659u/fL4vFUqun68EHH5TFYtHWrVt17bXXqlWrVjr//PMlSRs3btT111+vDh06yOVyKSkpSb/61a9UUFBQ67WO7uPbb7/VL37xC0VHRys+Pl733XefDMPQ3r17NW7cOEVFRSkpKUl//etfT+m9Oxp8OnbsKKfTqXbt2ukPf/iDvF5voI3FYtGcOXNUVlYWeK/mzp173P3l5+fL7XbrvPPOO+7jCQkJga+Pzkf6z3/+oz/84Q9KSkpSeHi4Lr/8cu3du/eY565evVqjR49WdHS0wsLCNHToUH3xxRfHtNu/f79+9atfKTExUU6nUz179tTLL798TLt9+/Zp/PjxCg8PV0JCgu64445axw0ALQE9UgDQzBQXFys/P/+Y7VVVVT/53AcffFCzZs3SjTfeqEGDBsntdmvt2rVat26dLrnkEv3617/WgQMHtGjRIr366qu1nmsYhi6//HItW7ZMU6ZMUd++ffXJJ5/o7rvv1v79+/X0008H2l5//fV66623dN111+mcc87RihUrNHbs2BPWddVVV6lz587685//HAhlixYt0nfffacbbrhBSUlJ2rJli1566SVt2bJFX331Va2AJ0k///nP1b17d/3lL3/RRx99pEceeUSxsbH6+9//rosvvliPPfaYXn/9dd111106++yzdeGFF570vbrxxhv1yiuv6Morr9Sdd96p1atXa9asWcrMzNR7770nSXr11Vf10ksv6euvv9Y///lPSdK555573P0lJCQoNDRUH3zwgW699VbFxsae9PUl6dFHH5XFYtG9996rvLw8PfPMMxoxYoQ2bNig0NBQSTVDC8eMGaMBAwbogQcekNVq1Zw5c3TxxRfrs88+06BBgyRJubm5Ouecc2SxWHTLLbcoPj5eH3/8saZMmSK3263bb79dUk0IHj58uLKzs3XbbbcpJSVFr776qpYuXfqT9QJAs2IAAJqFOXPmGJJOeuvZs2et56SnpxuTJ08O3O/Tp48xduzYk77OtGnTjOP9+pg/f74hyXjkkUdqbb/yyisNi8Vi7Ny50zAMw8jIyDAkGbfffnutdtdff70hyXjggQcC2x544AFDknHNNdcc83rl5eXHbHvjjTcMScbKlSuP2cdNN90U2FZdXW20bdvWsFgsxl/+8pfA9sOHDxuhoaG13pPj2bBhgyHJuPHGG2ttv+uuuwxJxtKlSwPbJk+ebISHh590f0fdf//9hiQjPDzcGDNmjPHoo48aGRkZx7RbtmyZIclo06aN4Xa7A9vfeustQ5Lxf//3f4ZhGIbf7zc6d+5sjBo1yvD7/YF25eXlRvv27Y1LLrkksG3KlClGcnKykZ+fX+u1Jk6caERHRwfe72eeecaQZLz11luBNmVlZUanTp0MScayZctO6VgBoKljaB8ANDOzZ8/WokWLjrn17t37J58bExOjLVu2aMeOHaZfd8GCBbLZbLrttttqbb/zzjtlGIY+/vhjSQqsPvfb3/62Vrtbb731hPv+zW9+c8y2oz0ukuTxeJSfn69zzjlHkrRu3bpj2t94442Br202mwYOHCjDMDRlypTA9piYGHXt2lXffffdCWuRao5VkqZPn15r+5133ilJ+uijj076/BOZOXOm5s2bp379+umTTz7RH//4Rw0YMED9+/dXZmbmMe1/+ctfKjIyMnD/yiuvVHJycqC+DRs2aMeOHbr22mtVUFCg/Px85efnq6ysTMOHD9fKlSvl9/tlGIbeffddXXbZZTIMI9AuPz9fo0aNUnFxceA9XbBggZKTk3XllVcGXjcsLEw33XTTaR0zADRVDO0DgGZm0KBBGjhw4DHbW7Vqddwhfz/00EMPady4cerSpYvOOussjR49Wtddd90phbA9e/YoJSWl1gd7SerevXvg8aP/Wq1WtW/fvla7Tp06nXDfP24rSYWFhZo5c6befPPNYxZiKC4uPqZ9WlparfvR0dFyuVyKi4s7ZvuP51n92NFj+HHNSUlJiomJCRzr6bjmmmt0zTXXyO12a/Xq1Zo7d67mzZunyy67TJs3b5bL5Qq07dy5c63nWiwWderUSbt375akQCCePHnyCV+vuLhYVVVVKioq0ksvvaSXXnrpuO2Ovsd79uxRp06djhk62bVrV9PHCgBNGUEKABBw4YUXKisrS++//74+/fRT/fOf/9TTTz+tF198sVaPTkP7Ye/TUVdffbW+/PJL3X333erbt68iIiLk9/s1evRo+f3+Y9rbbLZT2ibpmMUxTuTHYaIuRUVF6ZJLLtEll1wih8OhV155RatXr9bQoUNPeR9H34cnnnjihBcCjoiICATHX/ziFycMXacSpgGgJSFIAQBqiY2N1Q033KAbbrhBpaWluvDCC/Xggw8GgtSJwkN6eroWL16skpKSWr1S27ZtCzx+9F+/369du3bV6lHZuXPnKdd4+PBhLVmyRDNnztT9998f2H46QxJPx9Fj2LFjR6DHTapZsKGoqChwrHVl4MCBeuWVV3Tw4MFa2398vIZhaOfOnYHQ07FjR0k1oWzEiBEn3H98fLwiIyPl8/lO2k6qOfbNmzfLMIxa3wvbt283dUwA0NQxRwoAEPDjIW0RERHq1KlTraWtj17DqaioqFbbSy+9VD6fT3/7299qbX/66adlsVg0ZswYSdKoUaMkSc8//3ytds8999wp13m0J+nHPUfPPPPMKe/jTFx66aXHfb2nnnpKkk66AuGJlJeXa9WqVcd97Oj8sh8Pn/v3v/+tkpKSwP133nlHBw8eDLzXAwYMUMeOHfXkk0+qtLT0mP0eOnRIUs37OWHCBL377rvavHnzCdtJNcd+4MABvfPOO7VqP9GQQABoruiRAgAE9OjRQxdddJEGDBig2NhYrV27Vu+8845uueWWQJsBAwZIkm677TaNGjVKNptNEydO1GWXXaZhw4bpj3/8o3bv3q0+ffro008/1fvvv6/bb7890DsyYMAATZgwQc8884wKCgoCy59/++23kk5tuFxUVJQuvPBCPf7446qqqlKbNm306aefateuXfXwrhyrT58+mjx5sl566SUVFRVp6NCh+vrrr/XKK69o/PjxGjZsmOl9lpeX69xzz9U555yj0aNHKzU1VUVFRZo/f74+++wzjR8/Xv369av1nNjYWJ1//vm64YYblJubq2eeeUadOnXS1KlTJUlWq1X//Oc/NWbMGPXs2VM33HCD2rRpo/3792vZsmWKiorSBx98IEn6y1/+omXLlmnw4MGaOnWqevToocLCQq1bt06LFy9WYWGhJGnq1Kn629/+pl/+8pfKyMhQcnKyXn31VYWFhZ3huwoATUzwFgwEANSlo8ufr1mz5riPDx069CeXP3/kkUeMQYMGGTExMUZoaKjRrVs349FHHzUqKysDbaqrq41bb73ViI+PNywWS62l0EtKSow77rjDSElJMRwOh9G5c2fjiSeeqLX0tmHULJc9bdo0IzY21oiIiDDGjx9vbN++3ZBUaznyo0uXHzp06Jjj2bdvn/H//t//M2JiYozo6GjjqquuMg4cOHDCJdR/vI8TLUt+vPfpeKqqqoyZM2ca7du3NxwOh5GammrMmDHD8Hg8p/Q6x9vfP/7xD2P8+PFGenq64XQ6jbCwMKNfv37GE088YXi93kDbo8ufv/HGG8aMGTOMhIQEIzQ01Bg7dqyxZ8+eY/a9fv1644orrjBat25tOJ1OIz093bj66quNJUuW1GqXm5trTJs2zUhNTTUcDoeRlJRkDB8+3HjppZdqtduzZ49x+eWXG2FhYUZcXJzxu9/9zli4cCHLnwNoUSyGcYozagEAqEcbNmxQv3799Nprr2nSpEnBLqdRW758uYYNG6a333671jLkAICGwxwpAECDq6ioOGbbM888I6vVqgsvvDAIFQEAYA5zpAAADe7xxx9XRkaGhg0bJrvdro8//lgff/yxbrrpJqWmpga7PAAAfhJBCgDQ4M4991wtWrRIDz/8sEpLS5WWlqYHH3xQf/zjH4NdGgAAp4Q5UgAAAABgEnOkAAAAAMAkghQAAAAAmMQcKUl+v18HDhxQZGTkKV0IEgAAAEDzZBiGSkpKlJKSIqv1xP1OBClJBw4cYJUoAAAAAAF79+5V27ZtT/g4QUpSZGSkpJo3KyoqKsjVAAAAAAgWt9ut1NTUQEY4EYKUFBjOFxUVRZACAAAA8JNTflhsAgAAAABMIkgBAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASfZgFwAAQGORnZ2t/Pz8YJdxxuLi4pSWlhbsMgCgWSNIAQCgmhDVrXt3VZSXB7uUMxYaFqZtmZmEKQCoRwQpAAAk5efnq6K8XJPufUKJaR2DXc5py83O0uuP3a38/HyCFADUI4IUAAA/kJjWUW079wx2GQCARo7FJgAAAADApKAGqVmzZunss89WZGSkEhISNH78eG3fvr1Wm4suukgWi6XW7Te/+U2tNtnZ2Ro7dqzCwsKUkJCgu+++W9XV1Q15KAAAAABakKAO7VuxYoWmTZums88+W9XV1frDH/6gkSNHauvWrQoPDw+0mzp1qh566KHA/bCwsMDXPp9PY8eOVVJSkr788ksdPHhQv/zlL+VwOPTnP/+5QY8HAAAAQMsQ1CC1cOHCWvfnzp2rhIQEZWRk6MILLwxsDwsLU1JS0nH38emnn2rr1q1avHixEhMT1bdvXz388MO699579eCDDyokJKRejwEAAOCnsLQ+0Pw0qsUmiouLJUmxsbG1tr/++ut67bXXlJSUpMsuu0z33XdfoFdq1apV6tWrlxITEwPtR40apZtvvllbtmxRv379jnkdr9crr9cbuO92u+vjcAAAAFhaH2imGk2Q8vv9uv3223XeeefprLPOCmy/9tprlZ6erpSUFG3cuFH33nuvtm/frv/+97+SpJycnFohSlLgfk5OznFfa9asWZo5c2Y9HQkAAMD3WFofaJ4aTZCaNm2aNm/erM8//7zW9ptuuinwda9evZScnKzhw4crKytLHTue3n9GM2bM0PTp0wP33W63UlNTT69wAACAU8DS+kDz0iiWP7/lllv04YcfatmyZWrbtu1J2w4ePFiStHPnTklSUlKScnNza7U5ev9E86qcTqeioqJq3QAAAADgVAW1R8owDN1666167733tHz5crVv3/4nn7NhwwZJUnJysiRpyJAhevTRR5WXl6eEhARJ0qJFixQVFaUePXrUW+31iQmpqC98bwEAANSNoAapadOmad68eXr//fcVGRkZmNMUHR2t0NBQZWVlad68ebr00kvVunVrbdy4UXfccYcuvPBC9e7dW5I0cuRI9ejRQ9ddd50ef/xx5eTk6E9/+pOmTZsmp9MZzMM7LUxIRX3hewsAAKDuBDVIvfDCC5JqLrr7Q3PmzNH111+vkJAQLV68WM8884zKysqUmpqqCRMm6E9/+lOgrc1m04cffqibb75ZQ4YMUXh4uCZPnlzrulNNCRNSUV/43gIAAKg7QR/adzKpqalasWLFT+4nPT1dCxYsqKuyGgUmpKK+8L0FAABw5hrFYhMAAAAA0JQQpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASfZgFwAALVl2drby8/ODXcYZi4uLU1paWrDLAACgwRCkACBIsrOz1a17d1WUlwe7lDMWGhambZmZhCkAQItBkAKAIMnPz1dFebkm3fuEEtM6Bruc05abnaXXH7tb+fn5BCkAQItBkAKAIEtM66i2nXsGuwwAAGACi00AAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAk1j+HAAAAC1Odna28vPzg13GGYuLi+MafkFCkAIAAECLkp2drW7du6uivDzYpZyx0LAwbcvMJEwFAUEKAAAALUp+fr4qyss16d4nlJjWMdjlnLbc7Cy9/tjdys/PJ0gFAUEKAAAALVJiWke17dwz2GWgiWKxCQAAAAAwiSAFAAAAACYRpAAAAADAJOZIAQDqRGZmZrBLOCNNvX4AQMMiSAEAzoi78JAk6Re/+EWQK6kbpaWlwS4BANAEEKQAAGekotQtSRr76z+qa+8BQa7m9GV+vUIfv/J/8ng8wS4FANAEEKQAAHWidUp6k15GODc7K9glAACaEBabAAAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwiVX7AAAAgCasOVxQPC4uTmlpacEuwxSCFAAAANAENacLooeGhWlbZmaTClMEKQAAAKAJai4XRM/NztLrj92t/Px8ghQAAACAhtHUL4jeVLHYBAAAAACYRJACAAAAAJMIUgAAAABgEnOkAABAo5Wdna38/Pxgl3FGmsPS1ACORZACAACNUnZ2trp1766K8vJgl1InSktLg10CgDpEkAIAAI1Sfn6+KsrLNeneJ5SY1jHY5Zy2zK9X6ONX/k8ejyfYpQCoQwQpAADQqCWmdWzSSzvnZmcFuwQA9YDFJgAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEyyB7sAoCnIzs5Wfn5+sMs4I5mZmcEuAQAAoNkgSAE/ITs7W926d1dFeXmwS6kTpaWlwS4BAACgySNIAT8hPz9fFeXlmnTvE0pM6xjsck5b5tcr9PEr/yePxxPsUgAAAJo8ghRwihLTOqpt557BLuO05WZnBbsEAACAZoPFJgAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMCmoQWrWrFk6++yzFRkZqYSEBI0fP17bt2+v1cbj8WjatGlq3bq1IiIiNGHCBOXm5tZqk52drbFjxyosLEwJCQm6++67VV1d3ZCHAgAAAKAFCWqQWrFihaZNm6avvvpKixYtUlVVlUaOHKmysrJAmzvuuEMffPCB3n77ba1YsUIHDhzQFVdcEXjc5/Np7Nixqqys1JdffqlXXnlFc+fO1f333x+MQwIAAADQAtiD+eILFy6sdX/u3LlKSEhQRkaGLrzwQhUXF+tf//qX5s2bp4svvliSNGfOHHXv3l1fffWVzjnnHH366afaunWrFi9erMTERPXt21cPP/yw7r33Xj344IMKCQkJxqEBAAAAaMYa1Ryp4uJiSVJsbKwkKSMjQ1VVVRoxYkSgTbdu3ZSWlqZVq1ZJklatWqVevXopMTEx0GbUqFFyu93asmXLcV/H6/XK7XbXugEAAADAqWo0Qcrv9+v222/Xeeedp7POOkuSlJOTo5CQEMXExNRqm5iYqJycnECbH4aoo48ffex4Zs2apejo6MAtNTW1jo8GAAAAQHPWaILUtGnTtHnzZr355pv1/lozZsxQcXFx4LZ37956f00AAAAAzUdQ50gddcstt+jDDz/UypUr1bZt28D2pKQkVVZWqqioqFavVG5urpKSkgJtvv7661r7O7qq39E2P+Z0OuV0Ouv4KAAAAAC0FEHtkTIMQ7fccovee+89LV26VO3bt6/1+IABA+RwOLRkyZLAtu3btys7O1tDhgyRJA0ZMkSbNm1SXl5eoM2iRYsUFRWlHj16NMyBAAAAAGhRgtojNW3aNM2bN0/vv/++IiMjA3OaoqOjFRoaqujoaE2ZMkXTp09XbGysoqKidOutt2rIkCE655xzJEkjR45Ujx49dN111+nxxx9XTk6O/vSnP2natGn0OgEAAACoF0ENUi+88IIk6aKLLqq1fc6cObr++uslSU8//bSsVqsmTJggr9erUaNG6fnnnw+0tdls+vDDD3XzzTdryJAhCg8P1+TJk/XQQw811GEAAAAAaGGCGqQMw/jJNi6XS7Nnz9bs2bNP2CY9PV0LFiyoy9IAAAAA4IQazap9AAAAANBUEKQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACT7MEuAAAAAHXH5zdU7ffLb0h+vyFDks1qkd1qkc1qkdViCXaJQLNAkAIAAGgiKqp8Kiyr1OGySpV4qlXqrbmVVVbLW+WXt9qnKp9x0n04bBaFOmwKC7ErLMSmqFCHYkIdiglzKDY8RBFOuyyELeAnEaQAAGhiDMNQZbVfFVU1H5qrfH5V+Wp6IPIrLArtMFBrD3jkicqXK8SmUIdNEU67WoWHKDzExofkJsBb7VOu26uCUq8Kyyt1uKxKhWWVqqjymd6XxSIZP8hWNd8z1XJ7qo/bPtRhU0KUU4mRLqXEuJQSEyqHjdkgwI8RpAAAaGT8hqEST7UKyypVVF4pt6daJZ4qlXhqeh4qKn3yn7DTwaGEqx7Unz8/LH2++thHbRa1CgtRSkyoUmPD1LZVqFJbHfk3NkwpMS457bZ6PT7UZhiGiiqqdLDIo4PFFTro9qigtPKE7SNddsWGhSgq1KEIp10RLrvCQ2xyOWpuTrtVdlvNEL6jw/j8hlEz5M9nyFvtU0WVT+WVPpV5q1VcUaWi8ioVVVSpqLwmrO0pKNeegnJJks1iUVK0SzGGVfbWbRvkPQGaAoIUAABBVOXz61CJV3klXuWVeHSoxKvD5VXynTgpBditFoXYrXLYaj442ywWVXorlLtnp3r06ClbiFOeKr/KK30q8VTJW+1Xlc848lpebdhbdMw+LRYpPTZM3ZKi1C05subfpEilxYbJaqUnqy5UVvuV6/booNujnOKa8OSp8h/TLsplV3ykU7HhIYoNC1Gr8BC1CgtRiN1875DVYpHVZpHDJoWG2BRzgnbVPr/ySyuVW+JRbrFHew9XqNRbrf1FFdovu9rc+KJuW3hI/y9/uy7vk6LOiZGmawGaC4IUAAANxO83dKjUqwNFFYEwc7isUseLTDarRTFhDrUKDVFUqF2RLoeiXHaFO+0KDbEpzGGT/TjDrfbt2KKnHp6ujzIy1L9//1qPVVT6dLi8UgWlldpfVK69hRXad7hcew9XaG9hufYdrlBFlU+7C8q1u6BcC7fkBJ4bFmJTl8RI9UiJUq820erVJlqdEyPovfoJhmHII4fCe1ykHZXR2vp1tvJLvbWG2kk15zsh0qmU6FAlRbuUHO1SuLPhP6bZbVYlRbuUFO2S2n7fW5ZdWK7MPbnKKfNpn1t6bulOPbd0p/qlxejqgan6We9kRbocDV4vEEwEKQAA6km1z69ct1f7iyt04HCFDhRXHHchgPAQmxKiXIqPdCoh0qm4CKciXfY6X10tNMSm0JBQpcSEqlfb6GMeN4yaoPdtTqm25bi1LadE23Lc+ja3VOWVPm3YW1SrF8ths6hrUqTOSonWWUfCVdekSLkcLTdcVfv8yi3x6mBxxZHeJo/K1Ulxl92lA9WSSrySpAinXclHAlNydKjiI52yNcIeP4ulZihoq7AQta7Yr6enX6e/vvGJtridWrY9T+uzi7Q+u0gPfbBVVw9sqxvOa692ceHBLhtoEAQpAADqSGW1XweLK2qGQRVVKNftPWaIXojdqpQjf/FPiHQpIdIZlJ6H47FYLEdqcun8znGB7dU+v3YXlCvzoFubDxRry363Nu0vVnFFlTbvd2vzfre0Zq+kmuGGnRMjdVZKlHq1rQlY3ZOiFBrS/MLV0d6aXLdHucVeHXRX6FCJ95j5axYZ8hzYrg5pbdW7WyclR7uabO+N4S3T0PRQ3dG/v/JKPJq/fr/+s2avsg6V6ZVVe/Tvr/ZoZI9E/XpoR/VPaxXscoF61Tj+5wYAoAmqqPTpQHGF9h+uCU6HSrzHDNMLC7GpTUxNL1CbmFC1jghpctfxsdus6pQQoU4JEbqsT4qkmhCx73CFNu8v1qYjt837i3W4vEqZB93KPOjW2xn7JNUMW+sUH6Gebb4fFtg9OarRBMhTYRiGSr3VynV7a4KT26PcEq8qq4+d2xQWYgv0NCVHu7QvY7HefPUujZz5kro0ozlFCZEu3XRhR029oIO+zCrQPz77Tsu3H9InW3L1yZZcDesarzsu6aLebWOCXSpQL5rO/2AAAARZiacq0Nt0oMijwrJjV1aLctlrglOrmuAUE+polsuNWywWpcaGKTU2TGN6JUuqCRsHij3atK9YWw58H67ySyu1PbdE23NL9N91+488X+oYH6GzUqLULTlK7VqHKS02XOmtw4IasAzDUIm3ZsXEH94KyiqPG5psVoviI5xKjHIemdsUqihX7eswHTzuLLjmw2Kx6LxOcTqvU5x25JbopZXf6b/r92vZ9kNatv2QLumRqHtHd1WnhOYTIgGJIAUAwHH5jiwMcbCoQgePzHUp9R573Z3W4SGB3qaUmKY7ZKsuWCwWtTnyXow+K0lSTTDJdXsDoepoD1ZeiVc780q1M69U2nCg1n7iI51q1zpMEfIo+vxrtbPEqvLcEoU6bDXzvBw1N7OrCFb7/PIeuf5WqbdapT+4oO3Rr92eqhNe0NZikeLCa0JTYpRLCVFOtQ5vnHObgqVzYqSeuKqPpg3rpGeX7tD89fu1aGuulm7L03XnpOv2EZ0VExYS7DKBOkGQAgC0eIZhqEIOhXW7QFmVUdqRsfe485ssFik+wqk2R3qbUqJDm+Xcn7pkOXINoqRoly7pkRjYnuf2aPOBYm3a51bWoVLtKSzXnoIyFZVX6VCJV4eOLMoQc961+uaw9M3hnGP2HWK3ym611NxsVlks0tFIY0jy+QxV+2uun1Tp85/SkvKSZLVIrcJCapYd/8EtJswhu5UL056KdnHheurqvvrtRZ30l4+3aXFmruZ+uVvzN+zXnZd00aTB6SynjyaPIAUAaFGq/X4VlVcpP3DtppoP7ZXqpPhx92pftaQijyTJZbcqOSY0sLpaYpRLjuMsOQ7zEqJcujjKpYu7JdbaXlxepT2FZdpTUK4vN+3QS6++pW7njpac4SqvrFZFlS9wzaXKar9OfNna47NIcjqsNReyPXIx20in4wdf2xUV6qCXqY50SojQPycP1Gc7DumRDzO1PbdE972/RfM3HNBfrujFdajQpBGkAADNkrfap8NlVSosr5njcvjIXJdiT9Ux1/CRJIv88hzYoXZpbdWzc3ulRIcqJqx5zm9qzKLDHOodFqPebWPUxpejv3z6vM4ZN0JtO7cNtPH7DVVU+VRZ7Ve131C1369qnyFDNb2LUk1PmO1Ib5XtyIWLnXarQmxWzmkQXNA5Xh/d1lqvr87W4wu3KWPPYV367Ge6+aJOumVYp9O6yDAQbAQpAECT4/Mbqqj0qayyWiWemnktJZ5quSuqAve9x1kY4KgQm1WtI0KUGOlSfFTNtZt2rf5Eb7x6t0bOfEk9U469xhIaD6vVonCnXeHOYFcCM+w2qyaf206X9EjU/e9v1uLMPD27ZIcWb83V/03sS+8UmhyCFICgqPb5VVbpk6fKJ2+1X94qn6r9hgxD8suQDNX6Wpaa69O4y6wK7TRI3+R65d9dKNeRyecRTrvCQmwKD7E3m3H3viNzO6r9/pr3wjj6F/eav7of92sZssgiq6XmL/I//teimg+hVh3/8Ybi9xvf9yT4DVX7DFVW++Wt9h35t+Z2dFt55dFbtcorfScNST8UFmKrmd9yZL5LqyNzXcJDbMcc7576OFAAx0iJCdU/fjlQCzbl6L73N2vrQbd+9tznmjGmmyaf244eQzQZBCkA9aba51f+D5YPPlxWKbenSqXe6sAcB/PsSphwv2auKJRWrDpui7AQm8JC7Ipw2mr+ah1iV3itr2seC3P+4OsQu5x2q+xWa81wINv3w4KsFossFsnvl3xGTbjxH/33yCR2T1XNB/6jwdBzZB5H4N+jjx3dVu1TQZFbSb98WosO2mU5tDsQmnxHQsbxhp/Vt1rBSjXHffT4T/Rvhdor+VeztaYiXt+s2h2o228Yx3x99BhPcc7/SVksUpjDpkiXQ5GumnktkS67olwORbnsinQ5GC4ENFIWi0Vjeyfr7HatdPc7G7Xi20N68IOtWrb9kJ7+eV/FhrOyHxo/ghSAOlNeWa3swnIdLPIox+1Rfqn3pB+Y7VaLXA6bnEfmLjiOrrp1pOfE8oMP84ZRs0hAWWmp9u36Vl26nyWLPUQVVTU9FWXe6sBrHe29yC9tkMM+I87kznJXSaqqOmm7o6uRBXqVjmwIfK2aECTL0V6q78PL0Z6sHwabE/Ef6drySdIpX/vGpZD4dJUbUnn5yY/jeI4G1sAcFrtVTrvtB19bFeqoCbs1IbkmBLvszHUBmrqEKJfm3nC2/r1qj/68IFMrvj2knz37mWZP6q9+aa2CXR5wUgQpAKfNMAzluD3KOlSm7MLywHLFPxTqsKl1xPdDq6JDHYGVsUJO44Pwvh1b9NRDd+mjjAz179+/Vi3ear9KvdUq99ZcI6asslpl3mqVeWuC1tH7pd6aIWKl3pr75ZU17Sur/YHhdEd7hX44tM52pHfKdmTyutVyNARY5XJY5XLYjtysctltch792mE7ct8ql/37dvv37tZdd9yuK6f9Uclp7QP7+uEE+aP/1mVgMAxDfuPYf38cuE7lX79haOeGVVryxt818vrp6tyz75Ew/H0IDgRAy/ehyW77ftlqwhDQslksFk0+t50Gd4jVza+t0678Ml3991X609ge+uWQdP6PQKNFkAJgWp7bo+25JdqRV6oST+0LlMZHOtU2JrTmujFRLkW67A3yS9BisQQCiiLq/eXqxDojV57v1irBZSg5OrTBXtdischmkb6/4s6ZyVe5PNkbFWOrVJtWDXccAJqXbklR+t8t5+medzbq4805euB/W/TNviLNuqKXnHau14bGhyAF4JRUVvv1bW6JNu0vVt4Pep4cNovax4WrfetwpcaGKdzJfysAgNMT6XLo+Un99a/Pd2nWx9v033X7lV1Qrr9fN0CtI1imEY0Ln3gAnFSJp0rrsou09YBblb6aBSJsFos6xIerc2KE2rcOl50LlAIA6ojFYtGNF3RQ16RI/fb1dVq757DGzf5C/5p8tromsUQ6Gg+CFIDjOlxWqbV7DmtbjjuwiENMqEO92kSre3KUQkMYZgEAqD8XdI7Xe789T1NeWaM9BeWa8MKXeumXA3Rux7hglwZIIkgB+JEST5W++q5QmQfdgTXb2saEamC7VkqLDWPSLwCgwXRKiND8356n37yWodW7CnX9y2v09M/7amzv5GCXBhCkANTwVvm0Zs9hbdhbJN+RLqj2ceE6u12rBl0IAQCAH2oVHqJXfjVI09/aoAWbcnTLG+tUUNZTvxzSLtiloYUjSAEtnGEY2pZTos925KuiqubqQW1iQnV+pzglRbuCXB0AAJLLYdNz1/RXbPhmvfZVtu5/f4sKyyr1u+GdGSmBoCFIAS1YQalXy7Yf0v6iCklSbFiIzu8cp3atGcIHAGhcbFaLHh53luIjXHp68bd6ZvEOeav9umdUV35nISgIUkAL5PMbWru7UF/vLpTfkOxWiwZ3iFW/1FayWfllBABonCwWi343orPCnTY98lGmXliepcpqv/40tjthCg2OIAW0MGV+u95auzdwLagOceEa2iVeUaGOIFcGAMCpufGCDnLarbrv/S361+e7VFnt10PjehKm0KAIUkALYUiKHHi5MjzxMjxeOe1WDeuaoC6JEfziAQA0OdcNaacQu1W//+8mvfrVHtmsFj1wWQ9+p6HBEKSAFsBT5VOm2ip2+E0yJKW3DtOI7omKcPJfAACg6fr52WmyWa266+1vNPfL3XI5bLp3NHOm0DD4FAU0cznFHi3YfFAlipRRXaXOoWW6tE8nfskAAJqFKwe0lafKpz/N36wXV2Qp1GHT70Z0DnZZaAGswS4AQP3ZuK9Ib2fsVYmnWi5V6uCrd6qNo5wQBQBoVn5xTrru+1kPSdLTi7/VP1Z+F+SK0BIQpIBmyOc3tHRbnpZtPyS/UXNl+L7apao8frEAAJqnKee3192jukqSHl2QqXcz9gW5IjR3BCmgmamo8mn+hv3atL9YknRux9a69Kwk2eUPcmUAANSvacM6aeoF7SVJ97y7UUu35Qa5IjRnBCmgGSkqr9R/1uzVvsMVctgsuqx3ss5uF8tQPgBAizFjTHdd0a+NfH5Dv319nTL2HA52SWimCFJAM5Hr9uittftUXFGlKJddPx+Yqg7xEcEuCwCABmW1WvTYlb11Udd4ear8+tXcNdqZVxrsstAMEaSAZmB3QZneXbdPFVU+JUQ6dfXAVLWOcAa7LAAAgsJhs+r5Sf3VLy1GxRVV+tXcNSoo9Qa7LDQzBCmgiduW49YH3xxQlc9QWmyYJvRvq3CuDwUAaOHCQuz65y8HKi02TNmF5brx32vlqfIFuyw0I0ENUitXrtRll12mlJQUWSwWzZ8/v9bj119/vSwWS63b6NGja7UpLCzUpEmTFBUVpZiYGE2ZMkWlpXTfomXYfKBYn2zJld+QuiZF6vI+KQqx8/cRAAAkqXWEU3NuOFvRoQ6tzy7S9Lc2yO83gl0WmomgfuIqKytTnz59NHv27BO2GT16tA4ePBi4vfHGG7UenzRpkrZs2aJFixbpww8/1MqVK3XTTTfVd+lA0H2zr0hLMvMkSb3aRGtUj0TZrCwqAQDAD3WMj9Dfrxsgh82iBZty9MSn24NdEpqJoI7/GTNmjMaMGXPSNk6nU0lJScd9LDMzUwsXLtSaNWs0cOBASdJzzz2nSy+9VE8++aRSUlLqvGagMViXfVif7ciXJPVNjdGFneNYmQ8AgBM4p0NrPX5lb93xn2/0wvIsuc6JCXZJaAYa/Rig5cuXKyEhQV27dtXNN9+sgoKCwGOrVq1STExMIERJ0ogRI2S1WrV69eoT7tPr9crtdte6AU3Fhr1FgRA1ML0VIQoAgFPw//q11c0XdZQkzV5TpJDEjkGuCE1dow5So0eP1r///W8tWbJEjz32mFasWKExY8bI56uZKJiTk6OEhIRaz7Hb7YqNjVVOTs4J9ztr1ixFR0cHbqmpqfV6HEBd2by/WCu+PSRJGtQuVud2bE2IAgDgFN01squGdY1XpU+Kv+KP8rD2BM5Aow5SEydO1OWXX65evXpp/Pjx+vDDD7VmzRotX778jPY7Y8YMFRcXB2579+6tm4KBerTtoFtLttXMieqfFqNzOnChXQAAzLBZLfq/a/opJdIme1SCVufb5WPxCZymRh2kfqxDhw6Ki4vTzp07JUlJSUnKy8ur1aa6ulqFhYUnnFcl1cy7ioqKqnUDGrMdeSX6dGuuJKl322id34nhfAAAnI4ol0O/Py9Wfm+Z8r3WwEgPwKwmFaT27dungoICJScnS5KGDBmioqIiZWRkBNosXbpUfr9fgwcPDlaZQJ3ad7hcn2zOlSGpR3KULuoST4gCAOAMtI2yK/9/T0gytGl/sTbtKw52SWiCgrpqX2lpaaB3SZJ27dqlDRs2KDY2VrGxsZo5c6YmTJigpKQkZWVl6Z577lGnTp00atQoSVL37t01evRoTZ06VS+++KKqqqp0yy23aOLEiazYh2bhUIlXH3xzUD7DUMf4cA3vnkCIAgCgDlR8t1Y9o33aUmzX8m/zFBseojatQoNdFpqQoPZIrV27Vv369VO/fv0kSdOnT1e/fv10//33y2azaePGjbr88svVpUsXTZkyRQMGDNBnn30mp9MZ2Mfrr7+ubt26afjw4br00kt1/vnn66WXXgrWIQF1xl1Rpfe/2a9Kn18pMS6N7pkkKyEKAIA60zXKry4JEfIb0kebDsrtqQp2SWhCgtojddFFF8kwTjzB75NPPvnJfcTGxmrevHl1WRYQdJ4qn+Zv2K8yr0+tw0N0We8U2W1NaiQuAACNnsUijeiRqMPlVTpU6tVHGw/qqgFt+Z2LU8J3CdDI+PyGPtp0UIfLqxThtGtc3xS5HLZglwUAQLPksFn1s97JcjmsyivxasUOFp/AqSFIAY2IYRhatj1P+w5XyGGz6PI+KYp0OYJdFgAAzVpUqEOje9as+Lx5v1uZB91BrghNAUEKaETW7y3SlgNuWSSNOStZ8ZHOn3wOAAA4c+mtwzW4fawkaem2POWXeoNcERq70wpSHTp0UEFBwTHbi4qK1KFDhzMuCmiJvjtUqs925EuSLugcp/Zx4UGuCACAlmVQ+1ilxYap+sgwe2+1L9gloRE7rSC1e/du+XzHfmN5vV7t37//jIsCWprCskp9sqXmgru92kSrb2pMcAsCAKAFslosGtUzURFOu4rKq7QkM++kC6OhZTO1at///ve/wNeffPKJoqOjA/d9Pp+WLFmidu3a1VlxQEvgrfbpw40HVOnzq01MqIZywV0AAIImLMSuS3sl6Z2MfdqRV6rkvUXql9Yq2GWhETIVpMaPHy9Jslgsmjx5cq3HHA6H2rVrp7/+9a91VhzQ3BmGoU+25AZW6Lu0V5JsVkIUAADBlBwdqgs6x2vFt4f0+c58JUW7lBzNxXpRm6kg5ff7JUnt27fXmjVrFBcXVy9FAS3F6l2F2pVfJpvVorG9kxUWEtRLuwEAgCP6tI3WgaIK7cgr1YJNObpmUCq/p1HLac2R2rVrFyEKOEO78su0elehJOnirglKinIFuSIAAHCUxWLRiO6JahXmUKm3Wp9syZWf+VL4gdOO1UuWLNGSJUuUl5cX6Kk66uWXXz7jwoDmzO2p0qdbciRJvdtEq0dKVJArAgAAPxZit+rSXsn6z5q9yi4s1+pdhRrSoXWwy0IjcVo9UjNnztTIkSO1ZMkS5efn6/Dhw7VuAE7M5zf08aYcear9Soh06oIu9O4CANBYxUU4dXG3BEnS17sKtbugLMgVobE4rR6pF198UXPnztV1111X1/UAzd4XO/OV4/bIeeSvXHYr18UGAKAx654cpQPFFdq8361PNufomsFpinI5gl0Wguy0PsFVVlbq3HPPretagGZvZ16p1u8tkiSN7JGo6FD+EwYAoCkY2jleCZFOear9WrDpoHx+5ku1dKcVpG688UbNmzevrmsBmjV3RZUWZ9ZcdHdAWit1iI8IckUAAOBU2W01I0mcdqty3V6t3HEo2CUhyE5raJ/H49FLL72kxYsXq3fv3nI4av9V/amnnqqT4oDmwu83tHBLjrzVfiVFuTSkIxNVAQBoaqJDHRrVM0n/++aANu4rVnK0S92SWDCqpTqtILVx40b17dtXkrR58+Zaj1ksXEwU+LHVuwt1sNijEJtVo8/iorsAADRV7ePCNahdrL7eXaglmXmKi3AqLsIZ7LIQBKcVpJYtW1bXdQDN1v7DFVpz9HpR3RKYFwUAQBM3uEOsctweZReW66ONBzVxUKqcdluwy0IDY7kwoB55qnxauCVHhqTuyZHqmhQZ7JIAAMAZslosGt0zSRFOu4oqqrRoa64MLtbb4pxWj9SwYcNOOoRv6dKlp10Q0Jws256nUm+1YkIduqhLQrDLAQAAdSQ0xKaxvZL1dsZeZR0q07rsIg1IbxXsstCATitIHZ0fdVRVVZU2bNigzZs3a/LkyXVRF9Dkbc8p0be5pbJYpFE9kxRipwMYAIDmJCnapaFd4rVs+yF9kZWvxCin2rYKC3ZZaCCnFaSefvrp425/8MEHVVpaekYFAc1Bqbday7bnSZLObherpGhXkCsCAAD1oVebaB0s9mhbTok+3pyjawalKcJ5Wh+x0cTU6Z/If/GLX+jll1+uy10CTY5hGFqcmStvtV8JkU4Nahcb7JIAAEA9sVgsurhbglpHhKi80sfFeluQOg1Sq1atksvFX97Rsm3e79aegnLZrBaN7JHIUucAADRzDptVY3slK8Rm1cFijz7jYr0twmn1O15xxRW17huGoYMHD2rt2rW677776qQwoCkqKq8MXOn83I6t1ZrrSgAA0CK0CgvRyJ6J+nDjQX2zr1jxkU71TIkOdlmoR6cVpKKja39TWK1Wde3aVQ899JBGjhxZJ4UBTY3fMPTp1lxV+w21iQlVv9SYYJcEAAAaUMf4CA1uH6vVuwq1bNshxYaHKDk6NNhloZ6cVpCaM2dOXdcBNHnr9hzWwWKPQmxWjeyReNJLBAAAgOZpcPtY5Zd6lXWo7MjFell8ork6ozlSGRkZeu211/Taa69p/fr1dVUT0OQcKvFq1XcFkqQLu8QpKtQR5IoAAEAwWCwWjeyRpNbhISqr9OnDjQdU7fMHuyzUg9OKx3l5eZo4caKWL1+umJgYSVJRUZGGDRumN998U/Hx8XVZI9CoVfv9+nRrjvyG1CEuXD2So4JdEgAACKIQu1WX9UnRm19nK9ft1adbczXmrCRGqzQzp9Ujdeutt6qkpERbtmxRYWGhCgsLtXnzZrndbt122211XSPQqK3ZdVj5pZUKddg0vHsC/0kCAABFhzo0tneyrBZpR16pvswqCHZJqGOnFaQWLlyo559/Xt27dw9s69Gjh2bPnq2PP/64zooDGru8Eo/W7CmUJA3rFq+wEMZAAwCAGm1bhWlE90RJ0to9h7XlQHGQK0JdOq0g5ff75XAcOwfE4XDI72cMKFoGn9/Qoq25Mgypc0KEOidEBrskAADQyHRPjtKgdrGSpKXb8pRdWB7kilBXTitIXXzxxfrd736nAwcOBLbt379fd9xxh4YPH15nxQGNWcaemiF9LodVQ7swLxAAABzfOR1i1SUhQn5D+mjjQeW5PcEuCXXgtILU3/72N7ndbrVr104dO3ZUx44d1b59e7ndbj333HN1XSPQ6OSXerV6V81Y56Fd4hXOsqYAAOAELBaLLumRqLYxoar0+TV/wwEdLq8Mdlk4Q6f16S81NVXr1q3T4sWLtW3bNklS9+7dNWLEiDotDmiM/H5DizNzA6v0dU1kSB8AADg5u82qn/VJ1rvr9utQiVfz1+/XVQNTucZUE2aqR2rp0qXq0aOH3G53TbK+5BLdeuutuvXWW3X22WerZ8+e+uyzz+qrVqBRWL+3SLlur5x2q4Z1Y5U+AABwapx2m8b1SVF0qENuT7Xmb9iviipfsMvCaTIVpJ555hlNnTpVUVHHXicnOjpav/71r/XUU0/VWXFAY3O4rPL7C+92juevSAAAwJRwp13/r18bhYfYVFBaqffWEaaaKlNB6ptvvtHo0aNP+PjIkSOVkZFxxkUBjZFhSIsyc+XzG0qPDVP3ZIb0AQAA86JDHfp//dooLMSmQ6VewlQTZSpI5ebmHnfZ86PsdrsOHTp0xkUBjdHOEqsOFnsUYrPqYi68CwAAzkDrCKeu6NdGoQ7CVFNlKki1adNGmzdvPuHjGzduVHJy8hkXBTQ29pgkbSm2SZLO7xSnKNeJ/6AAAABwKlpHODWh//dh6t2MfSrxVAW7LJwiU0Hq0ksv1X333SeP59i17ysqKvTAAw/oZz/7WZ0VBzQGfsNQ69G3ymdY1LZVqM5qc+wcQQAAgNNxNEyFh9hUUFapt9buU0GpN9hl4RSYClJ/+tOfVFhYqC5duujxxx/X+++/r/fff1+PPfaYunbtqsLCQv3xj3+sr1qBoFiUVS5Xeh/ZLIZGdE9kSB8AAKhTrSOcunpgqlqFOVTqrdbbGft0oKgi2GXhJ5haciwxMVFffvmlbr75Zs2YMUOGYUiqucjYqFGjNHv2bCUmJtZLoUAw7C+q0CsbSyRJZ8X4FB3KkD4AAFD3okIdumpgqv634YBy3B79d/1+De+WoO7JjIRprEyv3Zyenq4FCxbo8OHD2rlzpwzDUOfOndWqVav6qA8IGsMwNOO/m+SpNuTZt0UdUzsHuyQAANCMhTpsuqJ/Gy3cnKPv8sv06dZc5RR7dGGXeNmsjIhpbEwN7fuhVq1a6eyzz9agQYMIUWiW3s7Yp5XfHlKITSr4+Fkxog8AANQ3h82qn/VO1uD2sZKkjfuL9Q6LUDRKpx2kgOYsp9ijhz/cKkma2DNS1YX7g1wRAABoKSwWi87p0FqX90mR025Vjtuj11dna9tBd2BqDYKPIAX8iGEY+v1/N6rEU60+qTG6rEt4sEsCAAAtUPu4cE08O1UJkU55q/36ZGuuPtx4UGXe6mCXBhGkgGO8vXaflm8/pBC7VX+9qjdjkgEAQNDEhIXo6oGpGtKhtawW6bv8Mr361R5t2Fskf7CLa+EIUsAP7C+qCAzpu/OSLuqUEBnkigAAQEtns1o0qH2sJp6dpvgjvVMrvj2kdeqosK7nidF+wUGQAo4wDEO/f3ejSrzV6pcWoxsv6BDskgAAAALiI52aODBVF3dNUFiITR6FKH78DK3zxGnbQbd8fhJVQyJIAUe88fVefbYjX067VU9e1YchfQAAoNGxWi3q1TZak4e0U6oOyV/pUakRok+25urlL3Zp9XcFKq5ghb+GQJACJO07XK5HP6oZ0nf3qK7qGB8R5IoAAABOLMRuVbrytf/FX6mdw61wp03llT59tatQc7/crTe+ztba3YUqKPWy0l89MX1BXjQcwzBU5vXJU+1TZbVf3mq/QmxWtY4IkcthC3Z5zYbfb+iedzaqrNKns9u10g3ntQ92SQAAAKfEX+FWuqNUPxvcXzvySrTlgFv7D1cor8SrvBKvvsgqUKjDppQYl1JiQhUX4VRseIjCQ2yycJHMM0KQamSqfIZc6X20odCmT7/crRLP8Ze3DA+xqXWEUx3jw9UlMZJgdQZe/zpbX2YVyOWw6okrGdIHAACaHpvVom5JUeqWFKXyymplHSrTzrxS7S+qUEWVT1mHypR1qCzQPsRuVUyoQ2EhNoU77TX/hthr3Q8LscthsxC4ToAg1Yh89V2BfvW/XCVOfFRZpZJULYtFctltCrFbFWK3ylPlU4mnWmWVPpUVliu7sFwrd+SrY1y4eraJVmqrUL7ZTcguKNesBZmSpHtHd1O7OK4ZBQAAmrawELt6tYlWrzbR8vkN5ZV4tL+oQjnFHhWUVaq4vEqV1X7llXh/cl82q+VIqLIp1FETrsKdNrUKCzlyc8jZQv+gT5BqRLokRspTbchXdlgdE6LUq2NbpcaGyWGrPZWtstqvwrJKHSiuUOZBt/JLK/VtXqm+zStVamyoLugUr/hIZ5COounw+w3d/c43Kq/0aVD7WE0e0i7YJQEAANQpm9Wi5OhQJUeHBrZV+/0qKq+S21Olcq9P5ZU+lVVWq8xbrfLKI/e91ar2G/L5DZV4qk84SkqSokMdSo52KSU6VG1ahapVmKNF/GGfINWIxIaH6K8j43TFxZfp6tnvqu0JFjwIsVuVFO1SUrRL/VJjdKjUqy373dpywK29hRWa93W2uidH6ryOcQp3copP5B+ffafVuwoV6rDpySv7yMqQPgAA0ALYrVbFRTgVF3HyP7xX+fwqr/SpotKn8sojIavKpxJPlYrKqnS4vFJllT4VV1SpuKJK23JKJEmxYSHqnBihzgkRav0Tr9GU8Sm7kUmPdkg69ZVVLBaLEiJdSujmUv/0VvoyK1/f5pYq82CJduWXaXi3RHVKYAW6H9u8v1hPfrpdknT/ZT2U1josyBUBAAA0Lg6bVdGhVkWHOk7YxlvlU47bowNFHh0ortDBYo8Kyyu1elehVu8qVGKUUwPSW6ljfISszayXiiDVjESHOjTmrGT1S/Vo6bY8HSr16qNNB9U9OVJDu8TLaW+Z41d/rKLSp9+9uV5VPkMjeyRq4tmpwS4JAACgSXI6bEpvHa701jXzzL3VPu06VKZv80q1p6BMuW6vFmzKUUyYQwPSWqlHclSzGQXEdaSaoaRol35+dqoGpreSRVLmwRLNW52tQ6cwobAleHTBVmUdKlNCpFN/mdC7RYzhBQAAaAhOu03dkqN0eZ8UTTm/vQa1i5XTblVReZWWbMvTG2uydbC4Ithl1gmCVDNls1p0Xqc4TRjQVlEuu9year21dq+2Hxm72lIt3pqr177KliT99eo+ig0PCXJFAAAAzVNYiF1DOrbWr85rrws6x8lltyq/tFJvrd2nJZm58lT5gl3iGSFINXNtYkJ1zaA0pbcOU7Xf0MItOfp8Z778LfAK1/uLKnTXO99Ikqac314XdI4PckUAAADNX4jdqv5prXTdkHR1T46UJG0+4NZrq/c06d4pglQL4HLYdHmfFA1MbyVJythzWB9uPKgqnz/IlTWcymq/bpm3TkXlVerTNlr3jO4a7JIAAABalLAQu0b2SNKV/duqVZhDZV6f3snYp6ySphlJmmbVMM1qqRnqN+asJNmsFu3KL9N/1+1XeeWJrwnQnDy2cJvWZxcpymXX367tz8IbAAAAQdKmVagmnp2mzgkR8hvShsN2tR47Xd7qpjViiiDVwnRJjNQV/drIZbcqx+3R22v3qbiiKthl1auFm3P0r893SZKevKqPUmNZ6hwAACCYQuxWjTkrSRd0jpNFhiLOulgvrC0KdlmmEKRaoJSYUF01MFWRLruKKqr01tq9ynN7gl1WvdiVX6a7j8yLuvH89hrZMynIFQEAAECquR5q/7RWuiChWlUFezXxrMhgl2QKQaqFig0P0dUDUxUXEaLySp/eWbdPewrKgl1WnXJ7qnTjK2tU4qlW/7QY3TumW7BLAgAAwI/Euwwd+Nc0JUU0rUvcEqRasAinXVcOaKvUVqGq8hn63zcHlHnQHeyy6oTPb+i2N9Yr61CZkqJcevEXA+Sw8e0OAADQKBlNbxE0Plm2cE67TeP6tlGXxJrJfp9uzdWa3YUymvjy6I8v3Kbl2w/JabfqH78cqIQoV7BLAgAAQDNCkIJsVotG90xS/7QYSdKXWQVa+W1+kw1T72Ts099XfiepZnGJXm2jg1wRAAAAmhuCFCTVTPa7oHO8LugcJ0nasK9ICzfnqNrftLpZl23L0+/f3ShJumVYJ13WJyXIFQEAAKA5Ikihlv5prTS6Z5KsFunbvFL9b8MBeat9wS7rlKzdXaibX89Qtd/QuL4pmn5Jl2CXBAAAgGaKIIVjdE2K1OV9UuSwWbT3cIXeXrtP7kZ+raltOW79au4aear8uqhrvJ68qo+sVkuwywIAAEAzRZDCcaW3DteV/dsqPMSmgrJK/WftXuU00mtN7cwr1S//9bXcnmoNSG+lFyaxQh8AAADqF582cUIJUS79/OzvrzX1bsY+7cgrCXZZtWzeX6yf/32V8kq86poYqZcnn63QEFuwywIAAEAzR5DCSUW6HLpqQKrSW4ep2m9owaYcfb4zX35/8Ff0W7O7UNe89JUKyip1VpsozZs6WNFhjmCXBQAAgBYgqEFq5cqVuuyyy5SSkiKLxaL58+fXetwwDN1///1KTk5WaGioRowYoR07dtRqU1hYqEmTJikqKkoxMTGaMmWKSktLG/Aomr8Qu1WX905Rv9QYSVLGnsN6b8N+lXmrg1bTsm15uu5fq1XirdagdrGaN/UctY5wBq0eAAAAtCxBDVJlZWXq06ePZs+efdzHH3/8cT377LN68cUXtXr1aoWHh2vUqFHyeL6fqzNp0iRt2bJFixYt0ocffqiVK1fqpptuaqhDaDGsVosu7BKvMWclyWGzaN/hCr25Zq+yC8sbtA6/39Azi7/Vr175fmGJV341SFEueqIAAADQcOzBfPExY8ZozJgxx33MMAw988wz+tOf/qRx48ZJkv79738rMTFR8+fP18SJE5WZmamFCxdqzZo1GjhwoCTpueee06WXXqonn3xSKSlcQ6iudUmMVOvwEH206aAOl1fpvfX71atNtM7vFKcQe/3m8sKySt3+nw1a+e0hSdK1g9P04GU96/11AQAAgB9rtJ9Ad+3apZycHI0YMSKwLTo6WoMHD9aqVaskSatWrVJMTEwgREnSiBEjZLVatXr16hPu2+v1yu1217rh1LWOcGri2Wnq3SZakrRpf7FeW71HewrK6u01l2Tm6mfPfqaV3x6Sy2HVX6/qoz//v16EKAAAAARFUHukTiYnJ0eSlJiYWGt7YmJi4LGcnBwlJCTUetxutys2NjbQ5nhmzZqlmTNn1nHFLUuI3aph3RLUKSFCizNz5fZUa/6GA0ptFapzO8bV2evsyi/TQx9s0bLtNb1Q7ePC9cIv+qtbUlSdvQYAAABgVqMNUvVpxowZmj59euC+2+1WampqECtqulJjwzRpcLpWfVegTfuKtfdwhf6zdq9SQu1ypvWS3zi91f2255Ro3uo9mvd1tqp8hhw2i351XnvdOryzIpwt8tsWAAAAjUij/USalJQkScrNzVVycnJge25urvr27Rtok5eXV+t51dXVKiwsDDz/eJxOp5xOVnirKyF2q4Z2iVe/1Bh9tatA2w6W6ECFVUnXzNJvPsrT1Ye2aVTPJHVNipTLcfxrPBmGoezCcq3+rlD/WbtXGXsOBx4b2iVe91/WQx3jIxrqkAAAAICTarRBqn379kpKStKSJUsCwcntdmv16tW6+eabJUlDhgxRUVGRMjIyNGDAAEnS0qVL5ff7NXjw4GCV3mJFhTo0skeSBqS10uebd+m7ggrlK0LPL8/S88uzZLNa1Ck+Ql2SIuW0W2UYkiFDOcUebd5fLLfn++XUbVaLLumeqF+ck67zOrWWxWIJ4pEBAAAAtQU1SJWWlmrnzp2B+7t27dKGDRsUGxurtLQ03X777XrkkUfUuXNntW/fXvfdd59SUlI0fvx4SVL37t01evRoTZ06VS+++KKqqqp0yy23aOLEiazYF0StI5wa0NqnFTOv03PvLtOGIqcy9hTqcHmVtueWaHtuyXGfF2KzqntypEb2TNJVA9oqIcrVwJUDAAAApyaoQWrt2rUaNmxY4P7ReUuTJ0/W3Llzdc8996isrEw33XSTioqKdP7552vhwoVyub7/gP3666/rlltu0fDhw2W1WjVhwgQ9++yzDX4sOA5flc5NDdUt4/rLMAzlur3aerBYO/NK5fNLFotkkRQd6tBZbaLVJTGSVfgAAADQJAQ1SF100UUyTrIYgcVi0UMPPaSHHnrohG1iY2M1b968+igPdchisSgp2qWkaJcu7pb4008AAAAAGjH+/A8AAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTGnWQevDBB2WxWGrdunXrFnjc4/Fo2rRpat26tSIiIjRhwgTl5uYGsWIAAAAALUGjDlKS1LNnTx08eDBw+/zzzwOP3XHHHfrggw/09ttva8WKFTpw4ICuuOKKIFYLAAAAoCWwB7uAn2K325WUlHTM9uLiYv3rX//SvHnzdPHFF0uS5syZo+7du+urr77SOeecc8J9er1eeb3ewH232133hQMAAABothp9j9SOHTuUkpKiDh06aNKkScrOzpYkZWRkqKqqSiNGjAi07datm9LS0rRq1aqT7nPWrFmKjo4O3FJTU+v1GAAAAAA0L406SA0ePFhz587VwoUL9cILL2jXrl264IILVFJSopycHIWEhCgmJqbWcxITE5WTk3PS/c6YMUPFxcWB2969e+vxKAAAAAA0N416aN+YMWMCX/fu3VuDBw9Wenq63nrrLYWGhp72fp1Op5xOZ12UCAAAAKAFatQ9Uj8WExOjLl26aOfOnUpKSlJlZaWKiopqtcnNzT3unCoAAAAAqCtNKkiVlpYqKytLycnJGjBggBwOh5YsWRJ4fPv27crOztaQIUOCWCUAAACA5q5RD+276667dNlllyk9PV0HDhzQAw88IJvNpmuuuUbR0dGaMmWKpk+frtjYWEVFRenWW2/VkCFDTrpiHwAAAACcqUYdpPbt26drrrlGBQUFio+P1/nnn6+vvvpK8fHxkqSnn35aVqtVEyZMkNfr1ahRo/T8888HuWoAAAAAzV2jDlJvvvnmSR93uVyaPXu2Zs+e3UAVAQAAAEATmyMFAAAAAI0BQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAAAAAJhGkAAAAAMAkghQAAAAAmESQAgAAAACTCFIAAAAAYBJBCgAAAABMIkgBAAAAgEkEKQAAAAAwiSAFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJzSZIzZ49W+3atZPL5dLgwYP19ddfB7skAAAAAM1UswhS//nPfzR9+nQ98MADWrdunfr06aNRo0YpLy8v2KUBAAAAaIaaRZB66qmnNHXqVN1www3q0aOHXnzxRYWFhenll18OdmkAAAAAmiF7sAs4U5WVlcrIyNCMGTMC26xWq0aMGKFVq1Yd9zler1derzdwv7i4WJLkdrvrt9hTUFpaKknat2OLvBXlQa7m9B3at0uSlJGRETimpmr79u2Smv45yc3OkiTl7P5WWeFhQa7m9PG91fg0l++t5nIc/Iw0PnxvNT58bzUuR7+3SktLG8Xn8aM1GIZx0nYW46daNHIHDhxQmzZt9OWXX2rIkCGB7ffcc49WrFih1atXH/OcBx98UDNnzmzIMgEAAAA0IXv37lXbtm1P+HiT75E6HTNmzND06dMD9/1+vwoLC9W6dWtZLJYgVtY4ud1upaamau/evYqKigp2OTgJzlXTwblqOjhXTQPnqengXDUdLfVcGYahkpISpaSknLRdkw9ScXFxstlsys3NrbU9NzdXSUlJx32O0+mU0+mstS0mJqa+Smw2oqKiWtQPUVPGuWo6OFdNB+eqaeA8NR2cq6ajJZ6r6Ojon2zT5BebCAkJ0YABA7RkyZLANr/fryVLltQa6gcAAAAAdaXJ90hJ0vTp0zV58mQNHDhQgwYN0jPPPKOysjLdcMMNwS4NAAAAQDPULILUz3/+cx06dEj333+/cnJy1LdvXy1cuFCJiYnBLq1ZcDqdeuCBB44ZDonGh3PVdHCumg7OVdPAeWo6OFdNB+fq5Jr8qn0AAAAA0NCa/BwpAAAAAGhoBCkAAAAAMIkgBQAAAAAmEaQAAAAAwCSCFI7r0Ucf1bnnnquwsLBTvljx9ddfL4vFUus2evTo+i0Up3WuDMPQ/fffr+TkZIWGhmrEiBHasWNH/RbawhUWFmrSpEmKiopSTEyMpkyZotLS0pM+56KLLjrmZ+o3v/lNA1XcssyePVvt2rWTy+XS4MGD9fXXX5+0/dtvv61u3brJ5XKpV69eWrBgQQNV2rKZOU9z58495ufH5XI1YLUt18qVK3XZZZcpJSVFFotF8+fP/8nnLF++XP3795fT6VSnTp00d+7ceq8T5s/V8uXLj/m5slgsysnJaZiCGxmCFI6rsrJSV111lW6++WZTzxs9erQOHjwYuL3xxhv1VCGOOp1z9fjjj+vZZ5/Viy++qNWrVys8PFyjRo2Sx+Opx0pbtkmTJmnLli1atGiRPvzwQ61cuVI33XTTTz5v6tSptX6mHn/88QaotmX5z3/+o+nTp+uBBx7QunXr1KdPH40aNUp5eXnHbf/ll1/qmmuu0ZQpU7R+/XqNHz9e48eP1+bNmxu48pbF7HmSpKioqFo/P3v27GnAiluusrIy9enTR7Nnzz6l9rt27dLYsWM1bNgwbdiwQbfffrtuvPFGffLJJ/VcKcyeq6O2b99e62crISGhnips5AzgJObMmWNER0efUtvJkycb48aNq9d6cGKneq78fr+RlJRkPPHEE4FtRUVFhtPpNN544416rLDl2rp1qyHJWLNmTWDbxx9/bFgsFmP//v0nfN7QoUON3/3udw1QYcs2aNAgY9q0aYH7Pp/PSElJMWbNmnXc9ldffbUxduzYWtsGDx5s/PrXv67XOls6s+fJzO8v1B9JxnvvvXfSNvfcc4/Rs2fPWtt+/vOfG6NGjarHyvBjp3Kuli1bZkgyDh8+3CA1NXb0SKFOLV++XAkJCeratatuvvlmFRQUBLsk/MiuXbuUk5OjESNGBLZFR0dr8ODBWrVqVRAra75WrVqlmJgYDRw4MLBtxIgRslqtWr169Umf+/rrrysuLk5nnXWWZsyYofLy8vout0WprKxURkZGrZ8Hq9WqESNGnPDnYdWqVbXaS9KoUaP4+alHp3OeJKm0tFTp6elKTU3VuHHjtGXLloYoFybxM9X09O3bV8nJybrkkkv0xRdfBLucoLEHuwA0H6NHj9YVV1yh9u3bKysrS3/4wx80ZswYrVq1SjabLdjl4Yij45gTExNrbU9MTGyxY5zrW05OzjHDHux2u2JjY0/6nl977bVKT09XSkqKNm7cqHvvvVfbt2/Xf//73/ouucXIz8+Xz+c77s/Dtm3bjvucnJwcfn4a2Omcp65du+rll19W7969VVxcrCeffFLnnnuutmzZorZt2zZE2ThFJ/qZcrvdqqioUGhoaJAqw48lJyfrxRdf1MCBA+X1evXPf/5TF110kVavXq3+/fsHu7wGR5BqQX7/+9/rscceO2mbzMxMdevW7bT2P3HixMDXvXr1Uu/evdWxY0ctX75cw4cPP619tlT1fa5QN071PJ2uH86h6tWrl5KTkzV8+HBlZWWpY8eOp71foCUYMmSIhgwZErh/7rnnqnv37vr73/+uhx9+OIiVAU1X165d1bVr18D9c889V1lZWXr66af16quvBrGy4CBItSB33nmnrr/++pO26dChQ529XocOHRQXF6edO3cSpEyqz3OVlJQkScrNzVVycnJge25urvr27Xta+2ypTvU8JSUlHTMhvrq6WoWFhYHzcSoGDx4sSdq5cydBqo7ExcXJZrMpNze31vbc3NwTnpukpCRT7XHmTuc8/ZjD4VC/fv20c+fO+igRZ+BEP1NRUVH0RjUBgwYN0ueffx7sMoKCINWCxMfHKz4+vsFeb9++fSooKKj1YR2npj7PVfv27ZWUlKQlS5YEgpPb7dbq1atNr9LY0p3qeRoyZIiKioqUkZGhAQMGSJKWLl0qv98fCEenYsOGDZLEz1QdCgkJ0YABA7RkyRKNHz9ekuT3+7VkyRLdcsstx33OkCFDtGTJEt1+++2BbYsWLarV+4G6dTrn6cd8Pp82bdqkSy+9tB4rxekYMmTIMZcQ4Geq6diwYUPL/b0U7NUu0Djt2bPHWL9+vTFz5kwjIiLCWL9+vbF+/XqjpKQk0KZr167Gf//7X8MwDKOkpMS46667jFWrVhm7du0yFi9ebPTv39/o3Lmz4fF4gnUYLYLZc2UYhvGXv/zFiImJMd5//31j48aNxrhx44z27dsbFRUVwTiEFmH06NFGv379jNWrVxuff/650blzZ+Oaa64JPL5v3z6ja9euxurVqw3DMIydO3caDz30kLF27Vpj165dxvvvv2906NDBuPDCC4N1CM3Wm2++aTidTmPu3LnG1q1bjZtuusmIiYkxcnJyDMMwjOuuu874/e9/H2j/xRdfGHa73XjyySeNzMxM44EHHjAcDoexadOmYB1Ci2D2PM2cOdP45JNPjKysLCMjI8OYOHGi4XK5jC1btgTrEFqMkpKSwO8iScZTTz1lrF+/3tizZ49hGIbx+9//3rjuuusC7b/77jsjLCzMuPvuu43MzExj9uzZhs1mMxYuXBisQ2gxzJ6rp59+2pg/f76xY8cOY9OmTcbvfvc7w2q1GosXLw7WIQQVQQrHNXnyZEPSMbdly5YF2kgy5syZYxiGYZSXlxsjR4404uPjDYfDYaSnpxtTp04N/IJD/TF7rgyjZgn0++67z0hMTDScTqcxfPhwY/v27Q1ffAtSUFBgXHPNNUZERIQRFRVl3HDDDbXC7q5du2qdt+zsbOPCCy80YmNjDafTaXTq1Mm4++67jeLi4iAdQfP23HPPGWlpaUZISIgxaNAg46uvvgo8NnToUGPy5Mm12r/11ltGly5djJCQEKNnz57GRx991MAVt0xmztPtt98eaJuYmGhceumlxrp164JQdctzdInsH9+Onp/JkycbQ4cOPeY5ffv2NUJCQowOHTrU+p2F+mP2XD322GNGx44dDZfLZcTGxhoXXXSRsXTp0uAU3whYDMMwGqz7CwAAAACaAa4jBQAAAAAmEaQAAAAAwCSCFAAAAACYRJACAAAAAJMIUgAAAABgEkEKAAAAAEwiSAEAAACASQQpAAAAADCJIAUAQB3bvXu3LBaLNmzYEOxSAAD1hCAFAGiyDh06pJtvvllpaWlyOp1KSkrSqFGj9MUXXwS7NABAM2cPdgEAAJyuCRMmqLKyUq+88oo6dOig3NxcLVmyRAUFBcEuDQDQzNEjBQBokoqKivTZZ5/pscce07Bhw5Senq5BgwZpxowZuvzyyyVJFotFL7zwgsaMGaPQ0FB16NBB77zzTq397N27V1dffbViYmIUGxurcePGaffu3bXa/POf/1T37t3lcrnUrVs3Pf/887Ue//rrr9WvXz+5XC4NHDhQ69evr9djBwAEH0EKANAkRUREKCIiQvPnz5fX6z1hu/vuu08TJkzQN998o0mTJmnixInKzMyUJFVVVWnUqFGKjIzUZ599pi+++EIREREaPXq0KisrJUmvv/667r//fj366KPKzMzUn//8Z91333165ZVXJEmlpaX62c9+ph49eigjI0MPPvig7rrrrvp/AwAAQWUxDMMIdhEAAJyOd999V1OnTlVFRYX69++voUOHauLEierdu7ekmh6p3/zmN3rhhRcCzznnnHPUv39/Pf/883rttdf0yCOPKDMzUxaLRZJUWVmpmJgYzZ8/XyNHjlSnTp308MMP65prrgns45FHHtGCBQv05Zdf6qWXXtIf/vAH7du3Ty6XS5L04osv6uabb9b69evVt2/fhntDAAANhh4pAECTNWHCBB04cED/+9//NHr0aC1fvlz9+/fX3LlzA22GDBlS6zlDhgwJ9Eh988032rlzpyIjIwM9XLGxsfJ4PMrKylJZWZmysrI0ZcqUwOMRERF65JFHlJWVJUnKzMxU7969AyHqeK8JAGh+WGwCANCkuVwuXXLJJbrkkkt033336cYbb9QDDzyg66+//iefW1paqgEDBuj1118/5rH4+HiVlpZKkv7xj39o8ODBtR632Wx1Uj8AoGmiRwoA0Kz06NFDZWVlgftfffVVrce/+uorde/eXZLUv39/7dixQwkJCerUqVOtW3R0tBITE5WSkqLvvvvumMfbt28vSerevbs2btwoj8dzwtcEADQ/BCkAQJNUUFCgiy++WK+99po2btyoXbt26e2339bjjz+ucePGBdq9/fbbevnll/Xtt9/qgQce0Ndff61bbrlFkjRp0iTFxcVp3Lhx+uyzz7Rr1y4tX75ct912m/bt2ydJmjlzpmbNmqVnn31W3377rTZt2qQ5c+boqaeekiRde+21slgsmjp1qrZu3aoFCxboySefbPg3BADQoBjaBwBokiIiIjR48GA9/fTTysrKUlVVlVJTUzV16lT94Q9/CLSbOXOm3nzzTf32t79VcnKy3njjDfXo0UOSFBYWppUrV+ree+/VFVdcoZKSErVp00bDhw9XVFSUJOnGG29UWFiYnnjiCd19990KDw9Xr169dPvttwfq+OCDD/Sb3/xG/fr1U48ePfTYY49pwoQJDf6eAAAaDqv2AQCaLYvFovfee0/jx48PdikAgGaGoX0AAAAAYBJBCgAAAABMYo4UAKDZYvQ6AKC+0CMFAAAAACYRpAAAAADAJIIUAAAAAJhEkAIAAAAAkwhSAAAAAGASQQoAAAAATCJIAQAAAIBJBCkAAAAAMOn/A3VkiorF+2jyAAAAAElFTkSuQmCC"},"metadata":{}},{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"# Pairplot\nsns.pairplot(df[['Strength', 'Speed', 'Intelligence']])\nplt.suptitle(\"Pairplot of Strength, Speed, and Intelligence\", y=1.02)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:01.428458Z","iopub.execute_input":"2024-07-21T17:50:01.428819Z","iopub.status.idle":"2024-07-21T17:50:03.849306Z","shell.execute_reply.started":"2024-07-21T17:50:01.428786Z","shell.execute_reply":"2024-07-21T17:50:03.847992Z"},"trusted":true},"execution_count":64,"outputs":[{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n with pd.option_context('mode.use_inf_as_na', True):\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"# Heatmap\nplt.figure(figsize=(10, 6))\nsns.heatmap(df[['Strength', 'Speed', 'Intelligence']].corr(), annot=True, cmap='coolwarm')\nplt.title(\"Heatmap of Correlation between Strength, Speed, and Intelligence\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:03.850773Z","iopub.execute_input":"2024-07-21T17:50:03.851171Z","iopub.status.idle":"2024-07-21T17:50:04.190567Z","shell.execute_reply.started":"2024-07-21T17:50:03.851138Z","shell.execute_reply":"2024-07-21T17:50:04.189281Z"},"trusted":true},"execution_count":65,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"# Character distribution by Universe\nplt.figure(figsize=(8, 6))\ndf['Universe'].value_counts().plot(kind='bar', color=['blue', 'red'])\nplt.title('Character Distribution by Universe')\nplt.xlabel('Universe')\nplt.ylabel('Count')\nplt.xticks(ticks=[0, 1], labels=['Marvel', 'DC Comics'], rotation=0)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:04.191984Z","iopub.execute_input":"2024-07-21T17:50:04.192376Z","iopub.status.idle":"2024-07-21T17:50:04.412246Z","shell.execute_reply.started":"2024-07-21T17:50:04.192343Z","shell.execute_reply":"2024-07-21T17:50:04.411012Z"},"trusted":true},"execution_count":66,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"# Average Strength by Universe\nplt.figure(figsize=(8, 6))\nsns.barplot(x='Universe', y='Strength', data=df, estimator=np.mean, palette='coolwarm')\nplt.title('Average Strength by Universe')\nplt.xlabel('Universe')\nplt.ylabel('Average Strength')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:04.413981Z","iopub.execute_input":"2024-07-21T17:50:04.414485Z","iopub.status.idle":"2024-07-21T17:50:04.689671Z","shell.execute_reply.started":"2024-07-21T17:50:04.414444Z","shell.execute_reply":"2024-07-21T17:50:04.688552Z"},"trusted":true},"execution_count":67,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"# Special Abilities Distribution\nplt.figure(figsize=(10, 6))\ndf['SpecialAbilities'].value_counts().plot(kind='barh', color='green')\nplt.title('Special Abilities Distribution')\nplt.xlabel('Count')\nplt.ylabel('Special Abilities')\nplt.show()\n","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:04.691104Z","iopub.execute_input":"2024-07-21T17:50:04.691531Z","iopub.status.idle":"2024-07-21T17:50:04.949388Z","shell.execute_reply.started":"2024-07-21T17:50:04.691485Z","shell.execute_reply":"2024-07-21T17:50:04.948123Z"},"trusted":true},"execution_count":68,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"# Battle Outcome Distribution\nplt.figure(figsize=(6, 4))\ndf['BattleOutcome'].value_counts().plot(kind='pie', autopct='%1.2f%%', colors=['skyblue', 'lightcoral'])\nplt.title('Battle Outcome Distribution')\nplt.ylabel('')\nplt.legend(['Character 1 wins', 'Character 2 wins'], loc='best')\nplt.show()\n","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:04.950747Z","iopub.execute_input":"2024-07-21T17:50:04.951112Z","iopub.status.idle":"2024-07-21T17:50:05.119985Z","shell.execute_reply.started":"2024-07-21T17:50:04.951084Z","shell.execute_reply":"2024-07-21T17:50:05.118666Z"},"trusted":true},"execution_count":69,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"# Encode categorical variables\nle = LabelEncoder()\ndf['Character'] = le.fit_transform(df['Character'])\ndf['Universe'] = le.fit_transform(df['Universe'])\ndf['SpecialAbilities'] = le.fit_transform(df['SpecialAbilities'])\ndf['Weaknesses'] = le.fit_transform(df['Weaknesses'])","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:05.122021Z","iopub.execute_input":"2024-07-21T17:50:05.123387Z","iopub.status.idle":"2024-07-21T17:50:05.139400Z","shell.execute_reply.started":"2024-07-21T17:50:05.123309Z","shell.execute_reply":"2024-07-21T17:50:05.138020Z"},"trusted":true},"execution_count":70,"outputs":[]},{"cell_type":"code","source":"# Split data into train and test sets\nX = df.drop('BattleOutcome', axis=1)\ny = df['BattleOutcome']\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:05.141184Z","iopub.execute_input":"2024-07-21T17:50:05.142276Z","iopub.status.idle":"2024-07-21T17:50:05.155740Z","shell.execute_reply.started":"2024-07-21T17:50:05.142223Z","shell.execute_reply":"2024-07-21T17:50:05.154327Z"},"trusted":true},"execution_count":71,"outputs":[]},{"cell_type":"code","source":"from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier, AdaBoostClassifier, ExtraTreesClassifier, BaggingClassifier\nfrom sklearn.svm import SVC\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.tree import DecisionTreeClassifier\nfrom sklearn.neighbors import KNeighborsClassifier\nfrom xgboost import XGBClassifier\nfrom catboost import CatBoostClassifier\n# Define classifier models\nmodels = {\n 'Random Forest': RandomForestClassifier(),\n 'Support Vector Classifier': SVC(),\n 'Logistic Regression': LogisticRegression(),\n 'Decision Tree': DecisionTreeClassifier(),\n 'K-Nearest Neighbors': KNeighborsClassifier(),\n 'Gradient Boosting': GradientBoostingClassifier(),\n 'AdaBoost': AdaBoostClassifier(),\n 'CatBoost': CatBoostClassifier(),\n 'Extra Trees': ExtraTreesClassifier(),\n 'XGBoost': XGBClassifier(),\n 'Bagging Classifier': BaggingClassifier()\n}\n","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:05.157833Z","iopub.execute_input":"2024-07-21T17:50:05.158732Z","iopub.status.idle":"2024-07-21T17:50:05.173619Z","shell.execute_reply.started":"2024-07-21T17:50:05.158680Z","shell.execute_reply":"2024-07-21T17:50:05.172311Z"},"trusted":true},"execution_count":72,"outputs":[]},{"cell_type":"code","source":"import pandas as pd\nfrom sklearn.metrics import accuracy_score, classification_report, confusion_matrix, ConfusionMatrixDisplay\nimport matplotlib.pyplot as plt\n# Initialize a DataFrame to store evaluation results\nresults = pd.DataFrame(columns=['Model', 'Accuracy', 'Precision', 'Recall', 'F1 Score'])\n# Train and evaluate models\nevaluation_results = []\nfor model_name, model in models.items():\n model.fit(X_train, y_train)\n y_pred = model.predict(X_test)\n # Calculate evaluation metrics\n accuracy = accuracy_score(y_test, y_pred)\n report = classification_report(y_test, y_pred, output_dict=True)\n precision = report['macro avg']['precision']\n recall = report['macro avg']['recall']\n f1_score = report['macro avg']['f1-score']\n # Append results to list\n evaluation_results.append({\n 'Model': model_name,\n 'Accuracy': accuracy,\n 'Precision': precision,\n 'Recall': recall,\n 'F1 Score': f1_score\n })\n # Display confusion matrix\n cm = confusion_matrix(y_test, y_pred)\n disp = ConfusionMatrixDisplay(confusion_matrix=cm)\n disp.plot()\n plt.title(f\"Confusion Matrix for {model_name}\")\n plt.show()\n# Create DataFrame from evaluation results\nresults = pd.DataFrame(evaluation_results)\n# Save results to CSV\nresults.to_csv('evaluation_results.csv', index=False)\n# Display evaluation results in table form\nprint(results)\n","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:05.175748Z","iopub.execute_input":"2024-07-21T17:50:05.176114Z","iopub.status.idle":"2024-07-21T17:50:10.785018Z","shell.execute_reply.started":"2024-07-21T17:50:05.176083Z","shell.execute_reply":"2024-07-21T17:50:10.783820Z"},"trusted":true},"execution_count":73,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"name":"stdout","text":"Learning rate set to 0.013477\n0:\tlearn: 0.6838656\ttotal: 1.63ms\tremaining: 1.63s\n1:\tlearn: 0.6758078\ttotal: 2.98ms\tremaining: 1.49s\n2:\tlearn: 0.6674481\ttotal: 4.32ms\tremaining: 1.43s\n3:\tlearn: 0.6583720\ttotal: 5.57ms\tremaining: 1.39s\n4:\tlearn: 0.6509284\ttotal: 6.87ms\tremaining: 1.37s\n5:\tlearn: 0.6431915\ttotal: 8.11ms\tremaining: 1.34s\n6:\tlearn: 0.6373617\ttotal: 9.34ms\tremaining: 1.32s\n7:\tlearn: 0.6305452\ttotal: 10.6ms\tremaining: 1.31s\n8:\tlearn: 0.6240415\ttotal: 11.9ms\tremaining: 1.3s\n9:\tlearn: 0.6181451\ttotal: 13.1ms\tremaining: 1.3s\n10:\tlearn: 0.6116032\ttotal: 14.7ms\tremaining: 1.32s\n11:\tlearn: 0.6057016\ttotal: 16.1ms\tremaining: 1.32s\n12:\tlearn: 0.5992679\ttotal: 17.4ms\tremaining: 1.32s\n13:\tlearn: 0.5938989\ttotal: 18.7ms\tremaining: 1.31s\n14:\tlearn: 0.5881622\ttotal: 20ms\tremaining: 1.31s\n15:\tlearn: 0.5824536\ttotal: 21.3ms\tremaining: 1.31s\n16:\tlearn: 0.5772842\ttotal: 22.6ms\tremaining: 1.31s\n17:\tlearn: 0.5721793\ttotal: 23.9ms\tremaining: 1.3s\n18:\tlearn: 0.5690468\ttotal: 25.2ms\tremaining: 1.3s\n19:\tlearn: 0.5644471\ttotal: 26.6ms\tremaining: 1.3s\n20:\tlearn: 0.5608056\ttotal: 27.9ms\tremaining: 1.3s\n21:\tlearn: 0.5562242\ttotal: 29.4ms\tremaining: 1.31s\n22:\tlearn: 0.5522125\ttotal: 30.8ms\tremaining: 1.31s\n23:\tlearn: 0.5479600\ttotal: 32.2ms\tremaining: 1.31s\n24:\tlearn: 0.5443633\ttotal: 33.6ms\tremaining: 1.31s\n25:\tlearn: 0.5405790\ttotal: 34.9ms\tremaining: 1.3s\n26:\tlearn: 0.5364419\ttotal: 36.2ms\tremaining: 1.3s\n27:\tlearn: 0.5329990\ttotal: 37.5ms\tremaining: 1.3s\n28:\tlearn: 0.5298083\ttotal: 39.1ms\tremaining: 1.31s\n29:\tlearn: 0.5257863\ttotal: 40.4ms\tremaining: 1.31s\n30:\tlearn: 0.5225180\ttotal: 41.8ms\tremaining: 1.3s\n31:\tlearn: 0.5197893\ttotal: 43ms\tremaining: 1.3s\n32:\tlearn: 0.5166048\ttotal: 44.3ms\tremaining: 1.3s\n33:\tlearn: 0.5133304\ttotal: 45.7ms\tremaining: 1.3s\n34:\tlearn: 0.5101360\ttotal: 47ms\tremaining: 1.29s\n35:\tlearn: 0.5067611\ttotal: 48.5ms\tremaining: 1.3s\n36:\tlearn: 0.5038938\ttotal: 50ms\tremaining: 1.3s\n37:\tlearn: 0.5012076\ttotal: 51.3ms\tremaining: 1.3s\n38:\tlearn: 0.4986865\ttotal: 52.6ms\tremaining: 1.3s\n39:\tlearn: 0.4960242\ttotal: 53.9ms\tremaining: 1.29s\n40:\tlearn: 0.4941094\ttotal: 55.2ms\tremaining: 1.29s\n41:\tlearn: 0.4917178\ttotal: 56.5ms\tremaining: 1.29s\n42:\tlearn: 0.4894410\ttotal: 57.8ms\tremaining: 1.28s\n43:\tlearn: 0.4876576\ttotal: 59ms\tremaining: 1.28s\n44:\tlearn: 0.4861331\ttotal: 60.3ms\tremaining: 1.28s\n45:\tlearn: 0.4833094\ttotal: 61.5ms\tremaining: 1.28s\n46:\tlearn: 0.4809459\ttotal: 62.9ms\tremaining: 1.27s\n47:\tlearn: 0.4789782\ttotal: 64.1ms\tremaining: 1.27s\n48:\tlearn: 0.4774782\ttotal: 65.3ms\tremaining: 1.27s\n49:\tlearn: 0.4753783\ttotal: 66.6ms\tremaining: 1.26s\n50:\tlearn: 0.4728362\ttotal: 67.9ms\tremaining: 1.26s\n51:\tlearn: 0.4706000\ttotal: 69.1ms\tremaining: 1.26s\n52:\tlearn: 0.4685507\ttotal: 70.4ms\tremaining: 1.26s\n53:\tlearn: 0.4666814\ttotal: 71.7ms\tremaining: 1.26s\n54:\tlearn: 0.4648348\ttotal: 73ms\tremaining: 1.25s\n55:\tlearn: 0.4628744\ttotal: 74.2ms\tremaining: 1.25s\n56:\tlearn: 0.4612058\ttotal: 75.5ms\tremaining: 1.25s\n57:\tlearn: 0.4591243\ttotal: 76.9ms\tremaining: 1.25s\n58:\tlearn: 0.4571499\ttotal: 78.2ms\tremaining: 1.25s\n59:\tlearn: 0.4556636\ttotal: 79.5ms\tremaining: 1.25s\n60:\tlearn: 0.4540737\ttotal: 80.8ms\tremaining: 1.24s\n61:\tlearn: 0.4524821\ttotal: 82ms\tremaining: 1.24s\n62:\tlearn: 0.4511638\ttotal: 83.3ms\tremaining: 1.24s\n63:\tlearn: 0.4496792\ttotal: 84.5ms\tremaining: 1.24s\n64:\tlearn: 0.4482901\ttotal: 85.9ms\tremaining: 1.24s\n65:\tlearn: 0.4468370\ttotal: 87.1ms\tremaining: 1.23s\n66:\tlearn: 0.4452703\ttotal: 88.4ms\tremaining: 1.23s\n67:\tlearn: 0.4441687\ttotal: 89.7ms\tremaining: 1.23s\n68:\tlearn: 0.4427134\ttotal: 91ms\tremaining: 1.23s\n69:\tlearn: 0.4411629\ttotal: 92.4ms\tremaining: 1.23s\n70:\tlearn: 0.4398318\ttotal: 93.8ms\tremaining: 1.23s\n71:\tlearn: 0.4385469\ttotal: 95.2ms\tremaining: 1.23s\n72:\tlearn: 0.4373829\ttotal: 96.5ms\tremaining: 1.23s\n73:\tlearn: 0.4360992\ttotal: 97.8ms\tremaining: 1.22s\n74:\tlearn: 0.4350130\ttotal: 99.1ms\tremaining: 1.22s\n75:\tlearn: 0.4340907\ttotal: 100ms\tremaining: 1.22s\n76:\tlearn: 0.4330526\ttotal: 102ms\tremaining: 1.22s\n77:\tlearn: 0.4321139\ttotal: 103ms\tremaining: 1.22s\n78:\tlearn: 0.4307044\ttotal: 104ms\tremaining: 1.22s\n79:\tlearn: 0.4299842\ttotal: 105ms\tremaining: 1.21s\n80:\tlearn: 0.4291736\ttotal: 107ms\tremaining: 1.21s\n81:\tlearn: 0.4280273\ttotal: 108ms\tremaining: 1.21s\n82:\tlearn: 0.4269721\ttotal: 109ms\tremaining: 1.21s\n83:\tlearn: 0.4259817\ttotal: 111ms\tremaining: 1.21s\n84:\tlearn: 0.4250015\ttotal: 112ms\tremaining: 1.21s\n85:\tlearn: 0.4239173\ttotal: 114ms\tremaining: 1.21s\n86:\tlearn: 0.4229586\ttotal: 115ms\tremaining: 1.21s\n87:\tlearn: 0.4220666\ttotal: 116ms\tremaining: 1.2s\n88:\tlearn: 0.4210140\ttotal: 117ms\tremaining: 1.2s\n89:\tlearn: 0.4200321\ttotal: 119ms\tremaining: 1.2s\n90:\tlearn: 0.4190811\ttotal: 120ms\tremaining: 1.2s\n91:\tlearn: 0.4178803\ttotal: 121ms\tremaining: 1.2s\n92:\tlearn: 0.4171507\ttotal: 123ms\tremaining: 1.2s\n93:\tlearn: 0.4162712\ttotal: 124ms\tremaining: 1.19s\n94:\tlearn: 0.4150368\ttotal: 125ms\tremaining: 1.19s\n95:\tlearn: 0.4140393\ttotal: 126ms\tremaining: 1.19s\n96:\tlearn: 0.4131950\ttotal: 128ms\tremaining: 1.19s\n97:\tlearn: 0.4120038\ttotal: 129ms\tremaining: 1.19s\n98:\tlearn: 0.4112120\ttotal: 130ms\tremaining: 1.19s\n99:\tlearn: 0.4107803\ttotal: 131ms\tremaining: 1.18s\n100:\tlearn: 0.4099592\ttotal: 133ms\tremaining: 1.18s\n101:\tlearn: 0.4094548\ttotal: 134ms\tremaining: 1.18s\n102:\tlearn: 0.4086998\ttotal: 135ms\tremaining: 1.18s\n103:\tlearn: 0.4080693\ttotal: 137ms\tremaining: 1.18s\n104:\tlearn: 0.4072141\ttotal: 138ms\tremaining: 1.17s\n105:\tlearn: 0.4068332\ttotal: 139ms\tremaining: 1.17s\n106:\tlearn: 0.4061805\ttotal: 141ms\tremaining: 1.17s\n107:\tlearn: 0.4057864\ttotal: 142ms\tremaining: 1.17s\n108:\tlearn: 0.4050086\ttotal: 143ms\tremaining: 1.17s\n109:\tlearn: 0.4043780\ttotal: 144ms\tremaining: 1.17s\n110:\tlearn: 0.4035184\ttotal: 146ms\tremaining: 1.17s\n111:\tlearn: 0.4029431\ttotal: 147ms\tremaining: 1.17s\n112:\tlearn: 0.4023117\ttotal: 148ms\tremaining: 1.16s\n113:\tlearn: 0.4017164\ttotal: 150ms\tremaining: 1.16s\n114:\tlearn: 0.4010964\ttotal: 151ms\tremaining: 1.16s\n115:\tlearn: 0.4002701\ttotal: 152ms\tremaining: 1.16s\n116:\tlearn: 0.3995851\ttotal: 153ms\tremaining: 1.16s\n117:\tlearn: 0.3988357\ttotal: 155ms\tremaining: 1.16s\n118:\tlearn: 0.3981552\ttotal: 156ms\tremaining: 1.16s\n119:\tlearn: 0.3975807\ttotal: 158ms\tremaining: 1.16s\n120:\tlearn: 0.3969913\ttotal: 159ms\tremaining: 1.16s\n121:\tlearn: 0.3963573\ttotal: 160ms\tremaining: 1.15s\n122:\tlearn: 0.3957974\ttotal: 162ms\tremaining: 1.15s\n123:\tlearn: 0.3952270\ttotal: 163ms\tremaining: 1.15s\n124:\tlearn: 0.3946346\ttotal: 164ms\tremaining: 1.15s\n125:\tlearn: 0.3941434\ttotal: 166ms\tremaining: 1.15s\n126:\tlearn: 0.3935366\ttotal: 167ms\tremaining: 1.15s\n127:\tlearn: 0.3928694\ttotal: 168ms\tremaining: 1.15s\n128:\tlearn: 0.3923522\ttotal: 170ms\tremaining: 1.15s\n129:\tlearn: 0.3917551\ttotal: 171ms\tremaining: 1.15s\n130:\tlearn: 0.3912321\ttotal: 173ms\tremaining: 1.14s\n131:\tlearn: 0.3907711\ttotal: 174ms\tremaining: 1.14s\n132:\tlearn: 0.3903551\ttotal: 175ms\tremaining: 1.14s\n133:\tlearn: 0.3895483\ttotal: 176ms\tremaining: 1.14s\n134:\tlearn: 0.3891096\ttotal: 178ms\tremaining: 1.14s\n135:\tlearn: 0.3886794\ttotal: 179ms\tremaining: 1.14s\n136:\tlearn: 0.3881677\ttotal: 181ms\tremaining: 1.14s\n137:\tlearn: 0.3875279\ttotal: 182ms\tremaining: 1.14s\n138:\tlearn: 0.3870149\ttotal: 183ms\tremaining: 1.14s\n139:\tlearn: 0.3864852\ttotal: 186ms\tremaining: 1.14s\n140:\tlearn: 0.3860731\ttotal: 187ms\tremaining: 1.14s\n141:\tlearn: 0.3855636\ttotal: 189ms\tremaining: 1.14s\n142:\tlearn: 0.3851173\ttotal: 190ms\tremaining: 1.14s\n143:\tlearn: 0.3847052\ttotal: 191ms\tremaining: 1.14s\n144:\tlearn: 0.3839497\ttotal: 193ms\tremaining: 1.14s\n145:\tlearn: 0.3834139\ttotal: 194ms\tremaining: 1.14s\n146:\tlearn: 0.3829551\ttotal: 196ms\tremaining: 1.14s\n147:\tlearn: 0.3825137\ttotal: 197ms\tremaining: 1.13s\n148:\tlearn: 0.3820628\ttotal: 198ms\tremaining: 1.13s\n149:\tlearn: 0.3816702\ttotal: 200ms\tremaining: 1.13s\n150:\tlearn: 0.3812220\ttotal: 201ms\tremaining: 1.13s\n151:\tlearn: 0.3807033\ttotal: 202ms\tremaining: 1.13s\n152:\tlearn: 0.3802626\ttotal: 204ms\tremaining: 1.13s\n153:\tlearn: 0.3798004\ttotal: 205ms\tremaining: 1.13s\n154:\tlearn: 0.3796631\ttotal: 206ms\tremaining: 1.12s\n155:\tlearn: 0.3794263\ttotal: 207ms\tremaining: 1.12s\n156:\tlearn: 0.3790312\ttotal: 208ms\tremaining: 1.12s\n157:\tlearn: 0.3785859\ttotal: 210ms\tremaining: 1.12s\n158:\tlearn: 0.3782018\ttotal: 211ms\tremaining: 1.12s\n159:\tlearn: 0.3776881\ttotal: 212ms\tremaining: 1.11s\n160:\tlearn: 0.3772753\ttotal: 214ms\tremaining: 1.11s\n161:\tlearn: 0.3767445\ttotal: 215ms\tremaining: 1.11s\n162:\tlearn: 0.3762077\ttotal: 216ms\tremaining: 1.11s\n163:\tlearn: 0.3757532\ttotal: 218ms\tremaining: 1.11s\n164:\tlearn: 0.3754873\ttotal: 219ms\tremaining: 1.11s\n165:\tlearn: 0.3750546\ttotal: 220ms\tremaining: 1.11s\n166:\tlearn: 0.3746284\ttotal: 222ms\tremaining: 1.1s\n167:\tlearn: 0.3742116\ttotal: 223ms\tremaining: 1.1s\n168:\tlearn: 0.3738200\ttotal: 224ms\tremaining: 1.1s\n169:\tlearn: 0.3734268\ttotal: 226ms\tremaining: 1.1s\n170:\tlearn: 0.3731184\ttotal: 227ms\tremaining: 1.1s\n171:\tlearn: 0.3727546\ttotal: 228ms\tremaining: 1.1s\n172:\tlearn: 0.3723824\ttotal: 230ms\tremaining: 1.1s\n173:\tlearn: 0.3720684\ttotal: 231ms\tremaining: 1.1s\n174:\tlearn: 0.3716427\ttotal: 232ms\tremaining: 1.09s\n175:\tlearn: 0.3711650\ttotal: 234ms\tremaining: 1.09s\n176:\tlearn: 0.3707969\ttotal: 235ms\tremaining: 1.09s\n177:\tlearn: 0.3704168\ttotal: 236ms\tremaining: 1.09s\n178:\tlearn: 0.3699671\ttotal: 238ms\tremaining: 1.09s\n179:\tlearn: 0.3695791\ttotal: 239ms\tremaining: 1.09s\n180:\tlearn: 0.3691587\ttotal: 240ms\tremaining: 1.09s\n181:\tlearn: 0.3688321\ttotal: 241ms\tremaining: 1.08s\n182:\tlearn: 0.3684468\ttotal: 243ms\tremaining: 1.08s\n183:\tlearn: 0.3681522\ttotal: 244ms\tremaining: 1.08s\n184:\tlearn: 0.3679301\ttotal: 245ms\tremaining: 1.08s\n185:\tlearn: 0.3676040\ttotal: 247ms\tremaining: 1.08s\n186:\tlearn: 0.3672947\ttotal: 248ms\tremaining: 1.08s\n187:\tlearn: 0.3668426\ttotal: 249ms\tremaining: 1.08s\n188:\tlearn: 0.3664749\ttotal: 251ms\tremaining: 1.08s\n189:\tlearn: 0.3659812\ttotal: 252ms\tremaining: 1.07s\n190:\tlearn: 0.3656888\ttotal: 253ms\tremaining: 1.07s\n191:\tlearn: 0.3653473\ttotal: 255ms\tremaining: 1.07s\n192:\tlearn: 0.3649575\ttotal: 256ms\tremaining: 1.07s\n193:\tlearn: 0.3645062\ttotal: 257ms\tremaining: 1.07s\n194:\tlearn: 0.3641390\ttotal: 259ms\tremaining: 1.07s\n195:\tlearn: 0.3638571\ttotal: 260ms\tremaining: 1.06s\n196:\tlearn: 0.3635655\ttotal: 261ms\tremaining: 1.06s\n197:\tlearn: 0.3631415\ttotal: 262ms\tremaining: 1.06s\n198:\tlearn: 0.3628179\ttotal: 264ms\tremaining: 1.06s\n199:\tlearn: 0.3625360\ttotal: 265ms\tremaining: 1.06s\n200:\tlearn: 0.3623035\ttotal: 266ms\tremaining: 1.06s\n201:\tlearn: 0.3619772\ttotal: 267ms\tremaining: 1.06s\n202:\tlearn: 0.3616644\ttotal: 269ms\tremaining: 1.05s\n203:\tlearn: 0.3615650\ttotal: 270ms\tremaining: 1.05s\n204:\tlearn: 0.3612219\ttotal: 271ms\tremaining: 1.05s\n205:\tlearn: 0.3607920\ttotal: 272ms\tremaining: 1.05s\n206:\tlearn: 0.3604719\ttotal: 274ms\tremaining: 1.05s\n207:\tlearn: 0.3602678\ttotal: 275ms\tremaining: 1.05s\n208:\tlearn: 0.3600256\ttotal: 276ms\tremaining: 1.05s\n209:\tlearn: 0.3597211\ttotal: 278ms\tremaining: 1.04s\n210:\tlearn: 0.3593575\ttotal: 279ms\tremaining: 1.04s\n211:\tlearn: 0.3590378\ttotal: 280ms\tremaining: 1.04s\n212:\tlearn: 0.3589888\ttotal: 281ms\tremaining: 1.04s\n213:\tlearn: 0.3586668\ttotal: 283ms\tremaining: 1.04s\n214:\tlearn: 0.3586154\ttotal: 284ms\tremaining: 1.03s\n215:\tlearn: 0.3583470\ttotal: 285ms\tremaining: 1.03s\n216:\tlearn: 0.3581083\ttotal: 286ms\tremaining: 1.03s\n217:\tlearn: 0.3578125\ttotal: 288ms\tremaining: 1.03s\n218:\tlearn: 0.3574743\ttotal: 289ms\tremaining: 1.03s\n219:\tlearn: 0.3571345\ttotal: 291ms\tremaining: 1.03s\n220:\tlearn: 0.3568790\ttotal: 292ms\tremaining: 1.03s\n221:\tlearn: 0.3564717\ttotal: 293ms\tremaining: 1.03s\n222:\tlearn: 0.3560492\ttotal: 295ms\tremaining: 1.03s\n223:\tlearn: 0.3557979\ttotal: 296ms\tremaining: 1.02s\n224:\tlearn: 0.3555973\ttotal: 297ms\tremaining: 1.02s\n225:\tlearn: 0.3552493\ttotal: 299ms\tremaining: 1.02s\n226:\tlearn: 0.3550137\ttotal: 300ms\tremaining: 1.02s\n227:\tlearn: 0.3546823\ttotal: 302ms\tremaining: 1.02s\n228:\tlearn: 0.3543253\ttotal: 303ms\tremaining: 1.02s\n229:\tlearn: 0.3541066\ttotal: 304ms\tremaining: 1.02s\n230:\tlearn: 0.3538600\ttotal: 305ms\tremaining: 1.02s\n231:\tlearn: 0.3534868\ttotal: 307ms\tremaining: 1.01s\n232:\tlearn: 0.3531985\ttotal: 308ms\tremaining: 1.01s\n233:\tlearn: 0.3529198\ttotal: 310ms\tremaining: 1.01s\n234:\tlearn: 0.3526271\ttotal: 311ms\tremaining: 1.01s\n235:\tlearn: 0.3523048\ttotal: 312ms\tremaining: 1.01s\n236:\tlearn: 0.3520437\ttotal: 314ms\tremaining: 1.01s\n237:\tlearn: 0.3516882\ttotal: 315ms\tremaining: 1.01s\n238:\tlearn: 0.3514538\ttotal: 316ms\tremaining: 1.01s\n239:\tlearn: 0.3512176\ttotal: 317ms\tremaining: 1s\n240:\tlearn: 0.3509431\ttotal: 319ms\tremaining: 1s\n241:\tlearn: 0.3506362\ttotal: 320ms\tremaining: 1s\n242:\tlearn: 0.3503934\ttotal: 321ms\tremaining: 1s\n243:\tlearn: 0.3501993\ttotal: 323ms\tremaining: 999ms\n244:\tlearn: 0.3500023\ttotal: 324ms\tremaining: 998ms\n245:\tlearn: 0.3498073\ttotal: 325ms\tremaining: 997ms\n246:\tlearn: 0.3496334\ttotal: 326ms\tremaining: 995ms\n247:\tlearn: 0.3493233\ttotal: 328ms\tremaining: 994ms\n248:\tlearn: 0.3490207\ttotal: 329ms\tremaining: 992ms\n249:\tlearn: 0.3487930\ttotal: 330ms\tremaining: 991ms\n250:\tlearn: 0.3485273\ttotal: 332ms\tremaining: 989ms\n251:\tlearn: 0.3483183\ttotal: 333ms\tremaining: 988ms\n252:\tlearn: 0.3481449\ttotal: 334ms\tremaining: 987ms\n253:\tlearn: 0.3479113\ttotal: 335ms\tremaining: 985ms\n254:\tlearn: 0.3476127\ttotal: 337ms\tremaining: 984ms\n255:\tlearn: 0.3472854\ttotal: 338ms\tremaining: 982ms\n256:\tlearn: 0.3469425\ttotal: 339ms\tremaining: 981ms\n257:\tlearn: 0.3468701\ttotal: 340ms\tremaining: 979ms\n258:\tlearn: 0.3466920\ttotal: 342ms\tremaining: 978ms\n259:\tlearn: 0.3464607\ttotal: 343ms\tremaining: 976ms\n260:\tlearn: 0.3462171\ttotal: 344ms\tremaining: 975ms\n261:\tlearn: 0.3461673\ttotal: 345ms\tremaining: 973ms\n262:\tlearn: 0.3459325\ttotal: 347ms\tremaining: 971ms\n263:\tlearn: 0.3456664\ttotal: 348ms\tremaining: 970ms\n264:\tlearn: 0.3453805\ttotal: 349ms\tremaining: 969ms\n265:\tlearn: 0.3451982\ttotal: 351ms\tremaining: 967ms\n266:\tlearn: 0.3449740\ttotal: 352ms\tremaining: 966ms\n267:\tlearn: 0.3447986\ttotal: 353ms\tremaining: 964ms\n268:\tlearn: 0.3445476\ttotal: 354ms\tremaining: 963ms\n269:\tlearn: 0.3443443\ttotal: 356ms\tremaining: 962ms\n270:\tlearn: 0.3440121\ttotal: 357ms\tremaining: 960ms\n271:\tlearn: 0.3437523\ttotal: 358ms\tremaining: 959ms\n272:\tlearn: 0.3434180\ttotal: 360ms\tremaining: 957ms\n273:\tlearn: 0.3431703\ttotal: 361ms\tremaining: 956ms\n274:\tlearn: 0.3429551\ttotal: 362ms\tremaining: 955ms\n275:\tlearn: 0.3426571\ttotal: 364ms\tremaining: 954ms\n276:\tlearn: 0.3424543\ttotal: 365ms\tremaining: 953ms\n277:\tlearn: 0.3421855\ttotal: 366ms\tremaining: 951ms\n278:\tlearn: 0.3419199\ttotal: 368ms\tremaining: 950ms\n279:\tlearn: 0.3416234\ttotal: 369ms\tremaining: 949ms\n280:\tlearn: 0.3414410\ttotal: 370ms\tremaining: 947ms\n281:\tlearn: 0.3410844\ttotal: 372ms\tremaining: 946ms\n282:\tlearn: 0.3407167\ttotal: 374ms\tremaining: 948ms\n283:\tlearn: 0.3406982\ttotal: 376ms\tremaining: 947ms\n284:\tlearn: 0.3404485\ttotal: 377ms\tremaining: 946ms\n285:\tlearn: 0.3402440\ttotal: 378ms\tremaining: 944ms\n286:\tlearn: 0.3399089\ttotal: 380ms\tremaining: 943ms\n287:\tlearn: 0.3397277\ttotal: 381ms\tremaining: 942ms\n288:\tlearn: 0.3394403\ttotal: 382ms\tremaining: 940ms\n289:\tlearn: 0.3392802\ttotal: 383ms\tremaining: 939ms\n290:\tlearn: 0.3389966\ttotal: 385ms\tremaining: 938ms\n291:\tlearn: 0.3387269\ttotal: 386ms\tremaining: 936ms\n292:\tlearn: 0.3384379\ttotal: 387ms\tremaining: 935ms\n293:\tlearn: 0.3382130\ttotal: 389ms\tremaining: 934ms\n294:\tlearn: 0.3380097\ttotal: 390ms\tremaining: 933ms\n295:\tlearn: 0.3376649\ttotal: 392ms\tremaining: 932ms\n296:\tlearn: 0.3373943\ttotal: 393ms\tremaining: 931ms\n297:\tlearn: 0.3373692\ttotal: 394ms\tremaining: 928ms\n298:\tlearn: 0.3372242\ttotal: 395ms\tremaining: 927ms\n299:\tlearn: 0.3371052\ttotal: 397ms\tremaining: 926ms\n300:\tlearn: 0.3368458\ttotal: 398ms\tremaining: 924ms\n301:\tlearn: 0.3365440\ttotal: 399ms\tremaining: 923ms\n302:\tlearn: 0.3364032\ttotal: 401ms\tremaining: 922ms\n303:\tlearn: 0.3361169\ttotal: 402ms\tremaining: 921ms\n304:\tlearn: 0.3358718\ttotal: 403ms\tremaining: 919ms\n305:\tlearn: 0.3356318\ttotal: 405ms\tremaining: 918ms\n306:\tlearn: 0.3356035\ttotal: 406ms\tremaining: 916ms\n307:\tlearn: 0.3354056\ttotal: 407ms\tremaining: 914ms\n308:\tlearn: 0.3350256\ttotal: 408ms\tremaining: 913ms\n309:\tlearn: 0.3348244\ttotal: 410ms\tremaining: 912ms\n310:\tlearn: 0.3344690\ttotal: 411ms\tremaining: 910ms\n311:\tlearn: 0.3341631\ttotal: 412ms\tremaining: 909ms\n312:\tlearn: 0.3341294\ttotal: 413ms\tremaining: 907ms\n313:\tlearn: 0.3339216\ttotal: 415ms\tremaining: 906ms\n314:\tlearn: 0.3337193\ttotal: 416ms\tremaining: 904ms\n315:\tlearn: 0.3335134\ttotal: 417ms\tremaining: 903ms\n316:\tlearn: 0.3332284\ttotal: 418ms\tremaining: 901ms\n317:\tlearn: 0.3330645\ttotal: 420ms\tremaining: 900ms\n318:\tlearn: 0.3328726\ttotal: 421ms\tremaining: 899ms\n319:\tlearn: 0.3326566\ttotal: 422ms\tremaining: 897ms\n320:\tlearn: 0.3324417\ttotal: 424ms\tremaining: 896ms\n321:\tlearn: 0.3322102\ttotal: 425ms\tremaining: 894ms\n322:\tlearn: 0.3319472\ttotal: 426ms\tremaining: 893ms\n323:\tlearn: 0.3318250\ttotal: 427ms\tremaining: 892ms\n324:\tlearn: 0.3315776\ttotal: 429ms\tremaining: 890ms\n325:\tlearn: 0.3314118\ttotal: 430ms\tremaining: 889ms\n326:\tlearn: 0.3312500\ttotal: 431ms\tremaining: 888ms\n327:\tlearn: 0.3310297\ttotal: 432ms\tremaining: 886ms\n328:\tlearn: 0.3308546\ttotal: 434ms\tremaining: 885ms\n329:\tlearn: 0.3306564\ttotal: 435ms\tremaining: 883ms\n330:\tlearn: 0.3305563\ttotal: 436ms\tremaining: 881ms\n331:\tlearn: 0.3304758\ttotal: 437ms\tremaining: 880ms\n332:\tlearn: 0.3301638\ttotal: 438ms\tremaining: 878ms\n333:\tlearn: 0.3298371\ttotal: 440ms\tremaining: 877ms\n334:\tlearn: 0.3296341\ttotal: 441ms\tremaining: 875ms\n335:\tlearn: 0.3293369\ttotal: 442ms\tremaining: 874ms\n336:\tlearn: 0.3291061\ttotal: 443ms\tremaining: 872ms\n337:\tlearn: 0.3288663\ttotal: 445ms\tremaining: 871ms\n338:\tlearn: 0.3286668\ttotal: 446ms\tremaining: 869ms\n339:\tlearn: 0.3283135\ttotal: 447ms\tremaining: 868ms\n340:\tlearn: 0.3281119\ttotal: 448ms\tremaining: 867ms\n341:\tlearn: 0.3278855\ttotal: 450ms\tremaining: 865ms\n342:\tlearn: 0.3276559\ttotal: 451ms\tremaining: 864ms\n343:\tlearn: 0.3274257\ttotal: 452ms\tremaining: 862ms\n344:\tlearn: 0.3272050\ttotal: 453ms\tremaining: 861ms\n345:\tlearn: 0.3270119\ttotal: 455ms\tremaining: 859ms\n346:\tlearn: 0.3267618\ttotal: 456ms\tremaining: 858ms\n347:\tlearn: 0.3265265\ttotal: 457ms\tremaining: 857ms\n348:\tlearn: 0.3263297\ttotal: 459ms\tremaining: 855ms\n349:\tlearn: 0.3261416\ttotal: 460ms\tremaining: 854ms\n350:\tlearn: 0.3258940\ttotal: 461ms\tremaining: 853ms\n351:\tlearn: 0.3257441\ttotal: 462ms\tremaining: 851ms\n352:\tlearn: 0.3257247\ttotal: 463ms\tremaining: 849ms\n353:\tlearn: 0.3255059\ttotal: 465ms\tremaining: 848ms\n354:\tlearn: 0.3253445\ttotal: 466ms\tremaining: 847ms\n355:\tlearn: 0.3250101\ttotal: 467ms\tremaining: 845ms\n356:\tlearn: 0.3248142\ttotal: 469ms\tremaining: 844ms\n357:\tlearn: 0.3246638\ttotal: 470ms\tremaining: 842ms\n358:\tlearn: 0.3245202\ttotal: 471ms\tremaining: 841ms\n359:\tlearn: 0.3242119\ttotal: 472ms\tremaining: 840ms\n360:\tlearn: 0.3239574\ttotal: 474ms\tremaining: 838ms\n361:\tlearn: 0.3237838\ttotal: 475ms\tremaining: 837ms\n362:\tlearn: 0.3235004\ttotal: 476ms\tremaining: 836ms\n363:\tlearn: 0.3232922\ttotal: 477ms\tremaining: 834ms\n364:\tlearn: 0.3230232\ttotal: 479ms\tremaining: 833ms\n365:\tlearn: 0.3228873\ttotal: 480ms\tremaining: 831ms\n366:\tlearn: 0.3227095\ttotal: 481ms\tremaining: 830ms\n367:\tlearn: 0.3225151\ttotal: 482ms\tremaining: 829ms\n368:\tlearn: 0.3223609\ttotal: 484ms\tremaining: 827ms\n369:\tlearn: 0.3221793\ttotal: 485ms\tremaining: 826ms\n370:\tlearn: 0.3219470\ttotal: 486ms\tremaining: 825ms\n371:\tlearn: 0.3217563\ttotal: 488ms\tremaining: 823ms\n372:\tlearn: 0.3215259\ttotal: 489ms\tremaining: 822ms\n373:\tlearn: 0.3213921\ttotal: 490ms\tremaining: 821ms\n374:\tlearn: 0.3212560\ttotal: 492ms\tremaining: 819ms\n375:\tlearn: 0.3209756\ttotal: 493ms\tremaining: 818ms\n376:\tlearn: 0.3208119\ttotal: 494ms\tremaining: 817ms\n377:\tlearn: 0.3205885\ttotal: 496ms\tremaining: 815ms\n378:\tlearn: 0.3205233\ttotal: 497ms\tremaining: 814ms\n379:\tlearn: 0.3203816\ttotal: 498ms\tremaining: 813ms\n380:\tlearn: 0.3202002\ttotal: 499ms\tremaining: 811ms\n381:\tlearn: 0.3200266\ttotal: 501ms\tremaining: 810ms\n382:\tlearn: 0.3198362\ttotal: 502ms\tremaining: 809ms\n383:\tlearn: 0.3195630\ttotal: 504ms\tremaining: 808ms\n384:\tlearn: 0.3194004\ttotal: 505ms\tremaining: 807ms\n385:\tlearn: 0.3192132\ttotal: 506ms\tremaining: 805ms\n386:\tlearn: 0.3190499\ttotal: 508ms\tremaining: 804ms\n387:\tlearn: 0.3188472\ttotal: 509ms\tremaining: 803ms\n388:\tlearn: 0.3186495\ttotal: 510ms\tremaining: 801ms\n389:\tlearn: 0.3184074\ttotal: 511ms\tremaining: 800ms\n390:\tlearn: 0.3181990\ttotal: 513ms\tremaining: 799ms\n391:\tlearn: 0.3180053\ttotal: 514ms\tremaining: 797ms\n392:\tlearn: 0.3176707\ttotal: 515ms\tremaining: 796ms\n393:\tlearn: 0.3175041\ttotal: 517ms\tremaining: 795ms\n394:\tlearn: 0.3173406\ttotal: 518ms\tremaining: 793ms\n395:\tlearn: 0.3172226\ttotal: 519ms\tremaining: 792ms\n396:\tlearn: 0.3170523\ttotal: 521ms\tremaining: 791ms\n397:\tlearn: 0.3168946\ttotal: 522ms\tremaining: 790ms\n398:\tlearn: 0.3166836\ttotal: 523ms\tremaining: 788ms\n399:\tlearn: 0.3165552\ttotal: 525ms\tremaining: 787ms\n400:\tlearn: 0.3163364\ttotal: 526ms\tremaining: 786ms\n401:\tlearn: 0.3162982\ttotal: 527ms\tremaining: 784ms\n402:\tlearn: 0.3160446\ttotal: 528ms\tremaining: 783ms\n403:\tlearn: 0.3157943\ttotal: 529ms\tremaining: 781ms\n404:\tlearn: 0.3157422\ttotal: 531ms\tremaining: 780ms\n405:\tlearn: 0.3155487\ttotal: 532ms\tremaining: 778ms\n406:\tlearn: 0.3153704\ttotal: 533ms\tremaining: 777ms\n407:\tlearn: 0.3151216\ttotal: 534ms\tremaining: 775ms\n408:\tlearn: 0.3149820\ttotal: 536ms\tremaining: 774ms\n409:\tlearn: 0.3147236\ttotal: 537ms\tremaining: 773ms\n410:\tlearn: 0.3145455\ttotal: 538ms\tremaining: 771ms\n411:\tlearn: 0.3144075\ttotal: 540ms\tremaining: 770ms\n412:\tlearn: 0.3143930\ttotal: 541ms\tremaining: 768ms\n413:\tlearn: 0.3142231\ttotal: 542ms\tremaining: 767ms\n414:\tlearn: 0.3139974\ttotal: 543ms\tremaining: 766ms\n415:\tlearn: 0.3138447\ttotal: 545ms\tremaining: 765ms\n416:\tlearn: 0.3136665\ttotal: 546ms\tremaining: 763ms\n417:\tlearn: 0.3134969\ttotal: 547ms\tremaining: 762ms\n418:\tlearn: 0.3132821\ttotal: 549ms\tremaining: 761ms\n419:\tlearn: 0.3131396\ttotal: 550ms\tremaining: 759ms\n420:\tlearn: 0.3129509\ttotal: 551ms\tremaining: 758ms\n421:\tlearn: 0.3128049\ttotal: 552ms\tremaining: 757ms\n422:\tlearn: 0.3126810\ttotal: 554ms\tremaining: 755ms\n423:\tlearn: 0.3125379\ttotal: 555ms\tremaining: 754ms\n424:\tlearn: 0.3124673\ttotal: 556ms\tremaining: 752ms\n425:\tlearn: 0.3123075\ttotal: 557ms\tremaining: 751ms\n426:\tlearn: 0.3121999\ttotal: 559ms\tremaining: 750ms\n427:\tlearn: 0.3120471\ttotal: 560ms\tremaining: 748ms\n428:\tlearn: 0.3118661\ttotal: 561ms\tremaining: 747ms\n429:\tlearn: 0.3116159\ttotal: 563ms\tremaining: 746ms\n430:\tlearn: 0.3114321\ttotal: 564ms\tremaining: 745ms\n431:\tlearn: 0.3112992\ttotal: 565ms\tremaining: 743ms\n432:\tlearn: 0.3111575\ttotal: 567ms\tremaining: 742ms\n433:\tlearn: 0.3109582\ttotal: 568ms\tremaining: 741ms\n434:\tlearn: 0.3107156\ttotal: 569ms\tremaining: 739ms\n435:\tlearn: 0.3104343\ttotal: 571ms\tremaining: 738ms\n436:\tlearn: 0.3102203\ttotal: 572ms\tremaining: 737ms\n437:\tlearn: 0.3100993\ttotal: 574ms\tremaining: 736ms\n438:\tlearn: 0.3100899\ttotal: 575ms\tremaining: 734ms\n439:\tlearn: 0.3098086\ttotal: 576ms\tremaining: 733ms\n440:\tlearn: 0.3095925\ttotal: 577ms\tremaining: 732ms\n441:\tlearn: 0.3093341\ttotal: 579ms\tremaining: 731ms\n442:\tlearn: 0.3091640\ttotal: 580ms\tremaining: 729ms\n443:\tlearn: 0.3089960\ttotal: 581ms\tremaining: 728ms\n444:\tlearn: 0.3089066\ttotal: 583ms\tremaining: 727ms\n445:\tlearn: 0.3087554\ttotal: 584ms\tremaining: 725ms\n446:\tlearn: 0.3086161\ttotal: 585ms\tremaining: 724ms\n447:\tlearn: 0.3083538\ttotal: 587ms\tremaining: 723ms\n448:\tlearn: 0.3082217\ttotal: 588ms\tremaining: 721ms\n449:\tlearn: 0.3080326\ttotal: 589ms\tremaining: 720ms\n450:\tlearn: 0.3080118\ttotal: 590ms\tremaining: 718ms\n451:\tlearn: 0.3077435\ttotal: 591ms\tremaining: 717ms\n452:\tlearn: 0.3075747\ttotal: 593ms\tremaining: 716ms\n453:\tlearn: 0.3073330\ttotal: 594ms\tremaining: 714ms\n454:\tlearn: 0.3071039\ttotal: 595ms\tremaining: 713ms\n455:\tlearn: 0.3069636\ttotal: 597ms\tremaining: 712ms\n456:\tlearn: 0.3067937\ttotal: 598ms\tremaining: 710ms\n457:\tlearn: 0.3066205\ttotal: 599ms\tremaining: 709ms\n458:\tlearn: 0.3064745\ttotal: 601ms\tremaining: 708ms\n459:\tlearn: 0.3061776\ttotal: 602ms\tremaining: 706ms\n460:\tlearn: 0.3059923\ttotal: 603ms\tremaining: 705ms\n461:\tlearn: 0.3058502\ttotal: 605ms\tremaining: 704ms\n462:\tlearn: 0.3056956\ttotal: 606ms\tremaining: 703ms\n463:\tlearn: 0.3055300\ttotal: 607ms\tremaining: 701ms\n464:\tlearn: 0.3053668\ttotal: 609ms\tremaining: 700ms\n465:\tlearn: 0.3052509\ttotal: 610ms\tremaining: 699ms\n466:\tlearn: 0.3051311\ttotal: 611ms\tremaining: 697ms\n467:\tlearn: 0.3049717\ttotal: 612ms\tremaining: 696ms\n468:\tlearn: 0.3046705\ttotal: 614ms\tremaining: 695ms\n469:\tlearn: 0.3044311\ttotal: 615ms\tremaining: 694ms\n470:\tlearn: 0.3042926\ttotal: 616ms\tremaining: 692ms\n471:\tlearn: 0.3040725\ttotal: 618ms\tremaining: 691ms\n472:\tlearn: 0.3038213\ttotal: 619ms\tremaining: 690ms\n473:\tlearn: 0.3036048\ttotal: 620ms\tremaining: 688ms\n474:\tlearn: 0.3034112\ttotal: 621ms\tremaining: 687ms\n475:\tlearn: 0.3032099\ttotal: 623ms\tremaining: 685ms\n476:\tlearn: 0.3030166\ttotal: 624ms\tremaining: 684ms\n477:\tlearn: 0.3028528\ttotal: 625ms\tremaining: 683ms\n478:\tlearn: 0.3026546\ttotal: 626ms\tremaining: 681ms\n479:\tlearn: 0.3025205\ttotal: 628ms\tremaining: 680ms\n480:\tlearn: 0.3023115\ttotal: 629ms\tremaining: 679ms\n481:\tlearn: 0.3020713\ttotal: 630ms\tremaining: 677ms\n482:\tlearn: 0.3019294\ttotal: 632ms\tremaining: 676ms\n483:\tlearn: 0.3017173\ttotal: 633ms\tremaining: 675ms\n484:\tlearn: 0.3015662\ttotal: 634ms\tremaining: 673ms\n485:\tlearn: 0.3014400\ttotal: 635ms\tremaining: 672ms\n486:\tlearn: 0.3011866\ttotal: 637ms\tremaining: 671ms\n487:\tlearn: 0.3010180\ttotal: 638ms\tremaining: 669ms\n488:\tlearn: 0.3008270\ttotal: 639ms\tremaining: 668ms\n489:\tlearn: 0.3006188\ttotal: 641ms\tremaining: 667ms\n490:\tlearn: 0.3004381\ttotal: 642ms\tremaining: 665ms\n491:\tlearn: 0.3002576\ttotal: 643ms\tremaining: 664ms\n492:\tlearn: 0.3001035\ttotal: 645ms\tremaining: 663ms\n493:\tlearn: 0.2999499\ttotal: 646ms\tremaining: 662ms\n494:\tlearn: 0.2998038\ttotal: 647ms\tremaining: 660ms\n495:\tlearn: 0.2996552\ttotal: 649ms\tremaining: 659ms\n496:\tlearn: 0.2995609\ttotal: 650ms\tremaining: 658ms\n497:\tlearn: 0.2993399\ttotal: 651ms\tremaining: 656ms\n498:\tlearn: 0.2991290\ttotal: 653ms\tremaining: 655ms\n499:\tlearn: 0.2989929\ttotal: 654ms\tremaining: 654ms\n500:\tlearn: 0.2988133\ttotal: 655ms\tremaining: 653ms\n501:\tlearn: 0.2988077\ttotal: 656ms\tremaining: 651ms\n502:\tlearn: 0.2986237\ttotal: 658ms\tremaining: 650ms\n503:\tlearn: 0.2985032\ttotal: 659ms\tremaining: 649ms\n504:\tlearn: 0.2983225\ttotal: 661ms\tremaining: 648ms\n505:\tlearn: 0.2981938\ttotal: 662ms\tremaining: 646ms\n506:\tlearn: 0.2980074\ttotal: 664ms\tremaining: 645ms\n507:\tlearn: 0.2978381\ttotal: 665ms\tremaining: 644ms\n508:\tlearn: 0.2975839\ttotal: 666ms\tremaining: 643ms\n509:\tlearn: 0.2974784\ttotal: 668ms\tremaining: 642ms\n510:\tlearn: 0.2972939\ttotal: 669ms\tremaining: 640ms\n511:\tlearn: 0.2971314\ttotal: 670ms\tremaining: 639ms\n512:\tlearn: 0.2968813\ttotal: 672ms\tremaining: 638ms\n513:\tlearn: 0.2967325\ttotal: 673ms\tremaining: 636ms\n514:\tlearn: 0.2965454\ttotal: 674ms\tremaining: 635ms\n515:\tlearn: 0.2962539\ttotal: 676ms\tremaining: 634ms\n516:\tlearn: 0.2960436\ttotal: 677ms\tremaining: 632ms\n517:\tlearn: 0.2959016\ttotal: 678ms\tremaining: 631ms\n518:\tlearn: 0.2957332\ttotal: 679ms\tremaining: 630ms\n519:\tlearn: 0.2955595\ttotal: 681ms\tremaining: 628ms\n520:\tlearn: 0.2953197\ttotal: 682ms\tremaining: 627ms\n521:\tlearn: 0.2951845\ttotal: 683ms\tremaining: 626ms\n522:\tlearn: 0.2950628\ttotal: 684ms\tremaining: 624ms\n523:\tlearn: 0.2949075\ttotal: 686ms\tremaining: 623ms\n524:\tlearn: 0.2947625\ttotal: 687ms\tremaining: 621ms\n525:\tlearn: 0.2946216\ttotal: 688ms\tremaining: 620ms\n526:\tlearn: 0.2945147\ttotal: 689ms\tremaining: 619ms\n527:\tlearn: 0.2942964\ttotal: 691ms\tremaining: 617ms\n528:\tlearn: 0.2941423\ttotal: 692ms\tremaining: 616ms\n529:\tlearn: 0.2939525\ttotal: 694ms\tremaining: 615ms\n530:\tlearn: 0.2937412\ttotal: 695ms\tremaining: 614ms\n531:\tlearn: 0.2935794\ttotal: 696ms\tremaining: 612ms\n532:\tlearn: 0.2932461\ttotal: 697ms\tremaining: 611ms\n533:\tlearn: 0.2930485\ttotal: 699ms\tremaining: 610ms\n534:\tlearn: 0.2929229\ttotal: 700ms\tremaining: 608ms\n535:\tlearn: 0.2927446\ttotal: 701ms\tremaining: 607ms\n536:\tlearn: 0.2925726\ttotal: 703ms\tremaining: 606ms\n537:\tlearn: 0.2923360\ttotal: 704ms\tremaining: 604ms\n538:\tlearn: 0.2922029\ttotal: 705ms\tremaining: 603ms\n539:\tlearn: 0.2920647\ttotal: 707ms\tremaining: 602ms\n540:\tlearn: 0.2919557\ttotal: 708ms\tremaining: 601ms\n541:\tlearn: 0.2917632\ttotal: 709ms\tremaining: 599ms\n542:\tlearn: 0.2915359\ttotal: 711ms\tremaining: 598ms\n543:\tlearn: 0.2913527\ttotal: 712ms\tremaining: 597ms\n544:\tlearn: 0.2911830\ttotal: 713ms\tremaining: 595ms\n545:\tlearn: 0.2909596\ttotal: 714ms\tremaining: 594ms\n546:\tlearn: 0.2908098\ttotal: 716ms\tremaining: 593ms\n547:\tlearn: 0.2906936\ttotal: 717ms\tremaining: 591ms\n548:\tlearn: 0.2905236\ttotal: 718ms\tremaining: 590ms\n549:\tlearn: 0.2903478\ttotal: 719ms\tremaining: 589ms\n550:\tlearn: 0.2902190\ttotal: 721ms\tremaining: 587ms\n551:\tlearn: 0.2900984\ttotal: 722ms\tremaining: 586ms\n552:\tlearn: 0.2898902\ttotal: 723ms\tremaining: 585ms\n553:\tlearn: 0.2897362\ttotal: 724ms\tremaining: 583ms\n554:\tlearn: 0.2895528\ttotal: 726ms\tremaining: 582ms\n555:\tlearn: 0.2893705\ttotal: 727ms\tremaining: 581ms\n556:\tlearn: 0.2891897\ttotal: 728ms\tremaining: 579ms\n557:\tlearn: 0.2890448\ttotal: 730ms\tremaining: 578ms\n558:\tlearn: 0.2889301\ttotal: 731ms\tremaining: 577ms\n559:\tlearn: 0.2887452\ttotal: 733ms\tremaining: 576ms\n560:\tlearn: 0.2885873\ttotal: 734ms\tremaining: 574ms\n561:\tlearn: 0.2884275\ttotal: 735ms\tremaining: 573ms\n562:\tlearn: 0.2881778\ttotal: 737ms\tremaining: 572ms\n563:\tlearn: 0.2880175\ttotal: 738ms\tremaining: 570ms\n564:\tlearn: 0.2878475\ttotal: 739ms\tremaining: 569ms\n565:\tlearn: 0.2877268\ttotal: 741ms\tremaining: 568ms\n566:\tlearn: 0.2875861\ttotal: 742ms\tremaining: 567ms\n567:\tlearn: 0.2874348\ttotal: 743ms\tremaining: 565ms\n568:\tlearn: 0.2872822\ttotal: 744ms\tremaining: 564ms\n569:\tlearn: 0.2870548\ttotal: 746ms\tremaining: 563ms\n570:\tlearn: 0.2867685\ttotal: 747ms\tremaining: 561ms\n571:\tlearn: 0.2866067\ttotal: 750ms\tremaining: 561ms\n572:\tlearn: 0.2864157\ttotal: 751ms\tremaining: 560ms\n573:\tlearn: 0.2864108\ttotal: 752ms\tremaining: 558ms\n574:\tlearn: 0.2862589\ttotal: 754ms\tremaining: 557ms\n575:\tlearn: 0.2861226\ttotal: 755ms\tremaining: 556ms\n576:\tlearn: 0.2858864\ttotal: 756ms\tremaining: 555ms\n577:\tlearn: 0.2857049\ttotal: 758ms\tremaining: 553ms\n578:\tlearn: 0.2854759\ttotal: 759ms\tremaining: 552ms\n579:\tlearn: 0.2854682\ttotal: 760ms\tremaining: 550ms\n580:\tlearn: 0.2852976\ttotal: 761ms\tremaining: 549ms\n581:\tlearn: 0.2851420\ttotal: 763ms\tremaining: 548ms\n582:\tlearn: 0.2850045\ttotal: 764ms\tremaining: 546ms\n583:\tlearn: 0.2847854\ttotal: 765ms\tremaining: 545ms\n584:\tlearn: 0.2844940\ttotal: 767ms\tremaining: 544ms\n585:\tlearn: 0.2842732\ttotal: 768ms\tremaining: 543ms\n586:\tlearn: 0.2841619\ttotal: 770ms\tremaining: 542ms\n587:\tlearn: 0.2839890\ttotal: 771ms\tremaining: 540ms\n588:\tlearn: 0.2838209\ttotal: 772ms\tremaining: 539ms\n589:\tlearn: 0.2836811\ttotal: 774ms\tremaining: 538ms\n590:\tlearn: 0.2835101\ttotal: 775ms\tremaining: 536ms\n591:\tlearn: 0.2833723\ttotal: 776ms\tremaining: 535ms\n592:\tlearn: 0.2831506\ttotal: 777ms\tremaining: 534ms\n593:\tlearn: 0.2829968\ttotal: 779ms\tremaining: 532ms\n594:\tlearn: 0.2828125\ttotal: 780ms\tremaining: 531ms\n595:\tlearn: 0.2826944\ttotal: 781ms\tremaining: 530ms\n596:\tlearn: 0.2824992\ttotal: 783ms\tremaining: 528ms\n597:\tlearn: 0.2822401\ttotal: 784ms\tremaining: 527ms\n598:\tlearn: 0.2819873\ttotal: 785ms\tremaining: 526ms\n599:\tlearn: 0.2817665\ttotal: 786ms\tremaining: 524ms\n600:\tlearn: 0.2815971\ttotal: 788ms\tremaining: 523ms\n601:\tlearn: 0.2814480\ttotal: 789ms\tremaining: 522ms\n602:\tlearn: 0.2811856\ttotal: 790ms\tremaining: 520ms\n603:\tlearn: 0.2810008\ttotal: 792ms\tremaining: 519ms\n604:\tlearn: 0.2807857\ttotal: 793ms\tremaining: 518ms\n605:\tlearn: 0.2806468\ttotal: 794ms\tremaining: 516ms\n606:\tlearn: 0.2805099\ttotal: 795ms\tremaining: 515ms\n607:\tlearn: 0.2803619\ttotal: 797ms\tremaining: 514ms\n608:\tlearn: 0.2801597\ttotal: 798ms\tremaining: 512ms\n609:\tlearn: 0.2800139\ttotal: 799ms\tremaining: 511ms\n610:\tlearn: 0.2798046\ttotal: 801ms\tremaining: 510ms\n611:\tlearn: 0.2796424\ttotal: 802ms\tremaining: 508ms\n612:\tlearn: 0.2794853\ttotal: 803ms\tremaining: 507ms\n613:\tlearn: 0.2792925\ttotal: 804ms\tremaining: 506ms\n614:\tlearn: 0.2791354\ttotal: 806ms\tremaining: 504ms\n615:\tlearn: 0.2789958\ttotal: 807ms\tremaining: 503ms\n616:\tlearn: 0.2788063\ttotal: 808ms\tremaining: 502ms\n617:\tlearn: 0.2786400\ttotal: 810ms\tremaining: 500ms\n618:\tlearn: 0.2785140\ttotal: 811ms\tremaining: 499ms\n619:\tlearn: 0.2783569\ttotal: 812ms\tremaining: 498ms\n620:\tlearn: 0.2781239\ttotal: 813ms\tremaining: 496ms\n621:\tlearn: 0.2781215\ttotal: 814ms\tremaining: 495ms\n622:\tlearn: 0.2779133\ttotal: 815ms\tremaining: 493ms\n623:\tlearn: 0.2777607\ttotal: 817ms\tremaining: 492ms\n624:\tlearn: 0.2775664\ttotal: 818ms\tremaining: 491ms\n625:\tlearn: 0.2774211\ttotal: 819ms\tremaining: 490ms\n626:\tlearn: 0.2772632\ttotal: 821ms\tremaining: 488ms\n627:\tlearn: 0.2770905\ttotal: 822ms\tremaining: 487ms\n628:\tlearn: 0.2769051\ttotal: 823ms\tremaining: 486ms\n629:\tlearn: 0.2767749\ttotal: 825ms\tremaining: 484ms\n630:\tlearn: 0.2765253\ttotal: 826ms\tremaining: 483ms\n631:\tlearn: 0.2763193\ttotal: 827ms\tremaining: 482ms\n632:\tlearn: 0.2760831\ttotal: 828ms\tremaining: 480ms\n633:\tlearn: 0.2759096\ttotal: 830ms\tremaining: 479ms\n634:\tlearn: 0.2757282\ttotal: 831ms\tremaining: 478ms\n635:\tlearn: 0.2755605\ttotal: 832ms\tremaining: 476ms\n636:\tlearn: 0.2754263\ttotal: 833ms\tremaining: 475ms\n637:\tlearn: 0.2752885\ttotal: 835ms\tremaining: 474ms\n638:\tlearn: 0.2751041\ttotal: 836ms\tremaining: 472ms\n639:\tlearn: 0.2749064\ttotal: 837ms\tremaining: 471ms\n640:\tlearn: 0.2746700\ttotal: 839ms\tremaining: 470ms\n641:\tlearn: 0.2745215\ttotal: 840ms\tremaining: 468ms\n642:\tlearn: 0.2744073\ttotal: 841ms\tremaining: 467ms\n643:\tlearn: 0.2742254\ttotal: 843ms\tremaining: 466ms\n644:\tlearn: 0.2740165\ttotal: 845ms\tremaining: 465ms\n645:\tlearn: 0.2739000\ttotal: 846ms\tremaining: 464ms\n646:\tlearn: 0.2737322\ttotal: 847ms\tremaining: 462ms\n647:\tlearn: 0.2735602\ttotal: 849ms\tremaining: 461ms\n648:\tlearn: 0.2734075\ttotal: 850ms\tremaining: 460ms\n649:\tlearn: 0.2732657\ttotal: 851ms\tremaining: 458ms\n650:\tlearn: 0.2731144\ttotal: 853ms\tremaining: 457ms\n651:\tlearn: 0.2729493\ttotal: 854ms\tremaining: 456ms\n652:\tlearn: 0.2727507\ttotal: 855ms\tremaining: 455ms\n653:\tlearn: 0.2725912\ttotal: 857ms\tremaining: 453ms\n654:\tlearn: 0.2724875\ttotal: 858ms\tremaining: 452ms\n655:\tlearn: 0.2723055\ttotal: 860ms\tremaining: 451ms\n656:\tlearn: 0.2721795\ttotal: 861ms\tremaining: 449ms\n657:\tlearn: 0.2720429\ttotal: 862ms\tremaining: 448ms\n658:\tlearn: 0.2718504\ttotal: 863ms\tremaining: 447ms\n659:\tlearn: 0.2717093\ttotal: 865ms\tremaining: 445ms\n660:\tlearn: 0.2715647\ttotal: 866ms\tremaining: 444ms\n661:\tlearn: 0.2714193\ttotal: 867ms\tremaining: 443ms\n662:\tlearn: 0.2712147\ttotal: 868ms\tremaining: 441ms\n663:\tlearn: 0.2710933\ttotal: 870ms\tremaining: 440ms\n664:\tlearn: 0.2708801\ttotal: 871ms\tremaining: 439ms\n665:\tlearn: 0.2707377\ttotal: 872ms\tremaining: 438ms\n666:\tlearn: 0.2705821\ttotal: 874ms\tremaining: 436ms\n667:\tlearn: 0.2704057\ttotal: 875ms\tremaining: 435ms\n668:\tlearn: 0.2702309\ttotal: 876ms\tremaining: 434ms\n669:\tlearn: 0.2700340\ttotal: 878ms\tremaining: 432ms\n670:\tlearn: 0.2698945\ttotal: 879ms\tremaining: 431ms\n671:\tlearn: 0.2697308\ttotal: 880ms\tremaining: 430ms\n672:\tlearn: 0.2695605\ttotal: 881ms\tremaining: 428ms\n673:\tlearn: 0.2693502\ttotal: 883ms\tremaining: 427ms\n674:\tlearn: 0.2692143\ttotal: 884ms\tremaining: 426ms\n675:\tlearn: 0.2690329\ttotal: 885ms\tremaining: 424ms\n676:\tlearn: 0.2688854\ttotal: 887ms\tremaining: 423ms\n677:\tlearn: 0.2687502\ttotal: 888ms\tremaining: 422ms\n678:\tlearn: 0.2686358\ttotal: 889ms\tremaining: 420ms\n679:\tlearn: 0.2685010\ttotal: 890ms\tremaining: 419ms\n680:\tlearn: 0.2683418\ttotal: 892ms\tremaining: 418ms\n681:\tlearn: 0.2682146\ttotal: 893ms\tremaining: 416ms\n682:\tlearn: 0.2680718\ttotal: 894ms\tremaining: 415ms\n683:\tlearn: 0.2679366\ttotal: 895ms\tremaining: 414ms\n684:\tlearn: 0.2677370\ttotal: 897ms\tremaining: 412ms\n685:\tlearn: 0.2675566\ttotal: 898ms\tremaining: 411ms\n686:\tlearn: 0.2673894\ttotal: 900ms\tremaining: 410ms\n687:\tlearn: 0.2672498\ttotal: 901ms\tremaining: 409ms\n688:\tlearn: 0.2671363\ttotal: 902ms\tremaining: 407ms\n689:\tlearn: 0.2670043\ttotal: 903ms\tremaining: 406ms\n690:\tlearn: 0.2668368\ttotal: 905ms\tremaining: 405ms\n691:\tlearn: 0.2666707\ttotal: 906ms\tremaining: 403ms\n692:\tlearn: 0.2665714\ttotal: 907ms\tremaining: 402ms\n693:\tlearn: 0.2664364\ttotal: 909ms\tremaining: 401ms\n694:\tlearn: 0.2662776\ttotal: 910ms\tremaining: 399ms\n695:\tlearn: 0.2661164\ttotal: 911ms\tremaining: 398ms\n696:\tlearn: 0.2659506\ttotal: 913ms\tremaining: 397ms\n697:\tlearn: 0.2658006\ttotal: 914ms\tremaining: 395ms\n698:\tlearn: 0.2656033\ttotal: 915ms\tremaining: 394ms\n699:\tlearn: 0.2654248\ttotal: 916ms\tremaining: 393ms\n700:\tlearn: 0.2652839\ttotal: 918ms\tremaining: 391ms\n701:\tlearn: 0.2651159\ttotal: 919ms\tremaining: 390ms\n702:\tlearn: 0.2649314\ttotal: 920ms\tremaining: 389ms\n703:\tlearn: 0.2647537\ttotal: 922ms\tremaining: 388ms\n704:\tlearn: 0.2646088\ttotal: 923ms\tremaining: 386ms\n705:\tlearn: 0.2644970\ttotal: 925ms\tremaining: 385ms\n706:\tlearn: 0.2643188\ttotal: 926ms\tremaining: 384ms\n707:\tlearn: 0.2641252\ttotal: 927ms\tremaining: 382ms\n708:\tlearn: 0.2640359\ttotal: 929ms\tremaining: 381ms\n709:\tlearn: 0.2639199\ttotal: 930ms\tremaining: 380ms\n710:\tlearn: 0.2637750\ttotal: 931ms\tremaining: 378ms\n711:\tlearn: 0.2635847\ttotal: 932ms\tremaining: 377ms\n712:\tlearn: 0.2633960\ttotal: 934ms\tremaining: 376ms\n713:\tlearn: 0.2632343\ttotal: 935ms\tremaining: 375ms\n714:\tlearn: 0.2630984\ttotal: 937ms\tremaining: 373ms\n715:\tlearn: 0.2629790\ttotal: 938ms\tremaining: 372ms\n716:\tlearn: 0.2628442\ttotal: 940ms\tremaining: 371ms\n717:\tlearn: 0.2626876\ttotal: 941ms\tremaining: 370ms\n718:\tlearn: 0.2624853\ttotal: 942ms\tremaining: 368ms\n719:\tlearn: 0.2623398\ttotal: 944ms\tremaining: 367ms\n720:\tlearn: 0.2622274\ttotal: 945ms\tremaining: 366ms\n721:\tlearn: 0.2619933\ttotal: 946ms\tremaining: 364ms\n722:\tlearn: 0.2618562\ttotal: 948ms\tremaining: 363ms\n723:\tlearn: 0.2616724\ttotal: 949ms\tremaining: 362ms\n724:\tlearn: 0.2615328\ttotal: 951ms\tremaining: 361ms\n725:\tlearn: 0.2613417\ttotal: 952ms\tremaining: 359ms\n726:\tlearn: 0.2612160\ttotal: 953ms\tremaining: 358ms\n727:\tlearn: 0.2610727\ttotal: 955ms\tremaining: 357ms\n728:\tlearn: 0.2609397\ttotal: 956ms\tremaining: 355ms\n729:\tlearn: 0.2608150\ttotal: 958ms\tremaining: 354ms\n730:\tlearn: 0.2606940\ttotal: 959ms\tremaining: 353ms\n731:\tlearn: 0.2605297\ttotal: 960ms\tremaining: 352ms\n732:\tlearn: 0.2603439\ttotal: 961ms\tremaining: 350ms\n733:\tlearn: 0.2602117\ttotal: 963ms\tremaining: 349ms\n734:\tlearn: 0.2600208\ttotal: 964ms\tremaining: 348ms\n735:\tlearn: 0.2599040\ttotal: 965ms\tremaining: 346ms\n736:\tlearn: 0.2597566\ttotal: 967ms\tremaining: 345ms\n737:\tlearn: 0.2596297\ttotal: 968ms\tremaining: 344ms\n738:\tlearn: 0.2595039\ttotal: 969ms\tremaining: 342ms\n739:\tlearn: 0.2593529\ttotal: 970ms\tremaining: 341ms\n740:\tlearn: 0.2591722\ttotal: 972ms\tremaining: 340ms\n741:\tlearn: 0.2589801\ttotal: 973ms\tremaining: 338ms\n742:\tlearn: 0.2587950\ttotal: 974ms\tremaining: 337ms\n743:\tlearn: 0.2586596\ttotal: 976ms\tremaining: 336ms\n744:\tlearn: 0.2585278\ttotal: 977ms\tremaining: 334ms\n745:\tlearn: 0.2584181\ttotal: 978ms\tremaining: 333ms\n746:\tlearn: 0.2582351\ttotal: 980ms\tremaining: 332ms\n747:\tlearn: 0.2580539\ttotal: 981ms\tremaining: 331ms\n748:\tlearn: 0.2578629\ttotal: 982ms\tremaining: 329ms\n749:\tlearn: 0.2576646\ttotal: 984ms\tremaining: 328ms\n750:\tlearn: 0.2575551\ttotal: 985ms\tremaining: 327ms\n751:\tlearn: 0.2573615\ttotal: 986ms\tremaining: 325ms\n752:\tlearn: 0.2571761\ttotal: 987ms\tremaining: 324ms\n753:\tlearn: 0.2569959\ttotal: 989ms\tremaining: 323ms\n754:\tlearn: 0.2568631\ttotal: 990ms\tremaining: 321ms\n755:\tlearn: 0.2566885\ttotal: 991ms\tremaining: 320ms\n756:\tlearn: 0.2565213\ttotal: 993ms\tremaining: 319ms\n757:\tlearn: 0.2563737\ttotal: 994ms\tremaining: 317ms\n758:\tlearn: 0.2561886\ttotal: 996ms\tremaining: 316ms\n759:\tlearn: 0.2560190\ttotal: 997ms\tremaining: 315ms\n760:\tlearn: 0.2558421\ttotal: 998ms\tremaining: 314ms\n761:\tlearn: 0.2557115\ttotal: 1000ms\tremaining: 312ms\n762:\tlearn: 0.2555401\ttotal: 1s\tremaining: 311ms\n763:\tlearn: 0.2553786\ttotal: 1s\tremaining: 310ms\n764:\tlearn: 0.2551915\ttotal: 1s\tremaining: 309ms\n765:\tlearn: 0.2550035\ttotal: 1.01s\tremaining: 307ms\n766:\tlearn: 0.2548237\ttotal: 1.01s\tremaining: 306ms\n767:\tlearn: 0.2547038\ttotal: 1.01s\tremaining: 305ms\n768:\tlearn: 0.2545564\ttotal: 1.01s\tremaining: 304ms\n769:\tlearn: 0.2544045\ttotal: 1.01s\tremaining: 302ms\n770:\tlearn: 0.2542303\ttotal: 1.01s\tremaining: 301ms\n771:\tlearn: 0.2540661\ttotal: 1.01s\tremaining: 300ms\n772:\tlearn: 0.2539300\ttotal: 1.02s\tremaining: 298ms\n773:\tlearn: 0.2538359\ttotal: 1.02s\tremaining: 297ms\n774:\tlearn: 0.2536568\ttotal: 1.02s\tremaining: 296ms\n775:\tlearn: 0.2534452\ttotal: 1.02s\tremaining: 295ms\n776:\tlearn: 0.2533192\ttotal: 1.02s\tremaining: 293ms\n777:\tlearn: 0.2531626\ttotal: 1.02s\tremaining: 292ms\n778:\tlearn: 0.2529962\ttotal: 1.02s\tremaining: 291ms\n779:\tlearn: 0.2528201\ttotal: 1.02s\tremaining: 289ms\n780:\tlearn: 0.2526695\ttotal: 1.03s\tremaining: 288ms\n781:\tlearn: 0.2525457\ttotal: 1.03s\tremaining: 287ms\n782:\tlearn: 0.2523864\ttotal: 1.03s\tremaining: 285ms\n783:\tlearn: 0.2521857\ttotal: 1.03s\tremaining: 284ms\n784:\tlearn: 0.2520758\ttotal: 1.03s\tremaining: 283ms\n785:\tlearn: 0.2519207\ttotal: 1.03s\tremaining: 281ms\n786:\tlearn: 0.2517888\ttotal: 1.03s\tremaining: 280ms\n787:\tlearn: 0.2516184\ttotal: 1.04s\tremaining: 279ms\n788:\tlearn: 0.2514765\ttotal: 1.04s\tremaining: 278ms\n789:\tlearn: 0.2512973\ttotal: 1.04s\tremaining: 276ms\n790:\tlearn: 0.2511322\ttotal: 1.04s\tremaining: 275ms\n791:\tlearn: 0.2510109\ttotal: 1.04s\tremaining: 274ms\n792:\tlearn: 0.2508819\ttotal: 1.04s\tremaining: 273ms\n793:\tlearn: 0.2507410\ttotal: 1.04s\tremaining: 271ms\n794:\tlearn: 0.2506057\ttotal: 1.05s\tremaining: 270ms\n795:\tlearn: 0.2504359\ttotal: 1.05s\tremaining: 269ms\n796:\tlearn: 0.2502848\ttotal: 1.05s\tremaining: 268ms\n797:\tlearn: 0.2501274\ttotal: 1.05s\tremaining: 266ms\n798:\tlearn: 0.2499878\ttotal: 1.05s\tremaining: 265ms\n799:\tlearn: 0.2498258\ttotal: 1.05s\tremaining: 264ms\n800:\tlearn: 0.2496946\ttotal: 1.06s\tremaining: 262ms\n801:\tlearn: 0.2495761\ttotal: 1.06s\tremaining: 261ms\n802:\tlearn: 0.2494644\ttotal: 1.06s\tremaining: 260ms\n803:\tlearn: 0.2493376\ttotal: 1.06s\tremaining: 259ms\n804:\tlearn: 0.2491850\ttotal: 1.06s\tremaining: 257ms\n805:\tlearn: 0.2490135\ttotal: 1.06s\tremaining: 256ms\n806:\tlearn: 0.2488999\ttotal: 1.06s\tremaining: 255ms\n807:\tlearn: 0.2487890\ttotal: 1.07s\tremaining: 253ms\n808:\tlearn: 0.2486602\ttotal: 1.07s\tremaining: 252ms\n809:\tlearn: 0.2485331\ttotal: 1.07s\tremaining: 251ms\n810:\tlearn: 0.2483890\ttotal: 1.07s\tremaining: 249ms\n811:\tlearn: 0.2482359\ttotal: 1.07s\tremaining: 248ms\n812:\tlearn: 0.2481331\ttotal: 1.07s\tremaining: 247ms\n813:\tlearn: 0.2480208\ttotal: 1.07s\tremaining: 246ms\n814:\tlearn: 0.2478257\ttotal: 1.08s\tremaining: 244ms\n815:\tlearn: 0.2477161\ttotal: 1.08s\tremaining: 243ms\n816:\tlearn: 0.2476005\ttotal: 1.08s\tremaining: 242ms\n817:\tlearn: 0.2474556\ttotal: 1.08s\tremaining: 241ms\n818:\tlearn: 0.2473117\ttotal: 1.08s\tremaining: 239ms\n819:\tlearn: 0.2471438\ttotal: 1.08s\tremaining: 238ms\n820:\tlearn: 0.2470110\ttotal: 1.08s\tremaining: 237ms\n821:\tlearn: 0.2468662\ttotal: 1.09s\tremaining: 235ms\n822:\tlearn: 0.2466892\ttotal: 1.09s\tremaining: 234ms\n823:\tlearn: 0.2465174\ttotal: 1.09s\tremaining: 233ms\n824:\tlearn: 0.2463537\ttotal: 1.09s\tremaining: 232ms\n825:\tlearn: 0.2462154\ttotal: 1.09s\tremaining: 230ms\n826:\tlearn: 0.2460792\ttotal: 1.09s\tremaining: 229ms\n827:\tlearn: 0.2459665\ttotal: 1.09s\tremaining: 228ms\n828:\tlearn: 0.2458265\ttotal: 1.1s\tremaining: 226ms\n829:\tlearn: 0.2456899\ttotal: 1.1s\tremaining: 225ms\n830:\tlearn: 0.2455170\ttotal: 1.1s\tremaining: 224ms\n831:\tlearn: 0.2453429\ttotal: 1.1s\tremaining: 222ms\n832:\tlearn: 0.2452208\ttotal: 1.1s\tremaining: 221ms\n833:\tlearn: 0.2451141\ttotal: 1.1s\tremaining: 220ms\n834:\tlearn: 0.2449364\ttotal: 1.1s\tremaining: 218ms\n835:\tlearn: 0.2447844\ttotal: 1.1s\tremaining: 217ms\n836:\tlearn: 0.2446251\ttotal: 1.11s\tremaining: 216ms\n837:\tlearn: 0.2444965\ttotal: 1.11s\tremaining: 214ms\n838:\tlearn: 0.2443039\ttotal: 1.11s\tremaining: 213ms\n839:\tlearn: 0.2441645\ttotal: 1.11s\tremaining: 212ms\n840:\tlearn: 0.2440399\ttotal: 1.11s\tremaining: 210ms\n841:\tlearn: 0.2438619\ttotal: 1.11s\tremaining: 209ms\n842:\tlearn: 0.2437294\ttotal: 1.11s\tremaining: 208ms\n843:\tlearn: 0.2435935\ttotal: 1.12s\tremaining: 206ms\n844:\tlearn: 0.2434894\ttotal: 1.12s\tremaining: 205ms\n845:\tlearn: 0.2433041\ttotal: 1.12s\tremaining: 204ms\n846:\tlearn: 0.2431869\ttotal: 1.12s\tremaining: 203ms\n847:\tlearn: 0.2430468\ttotal: 1.12s\tremaining: 201ms\n848:\tlearn: 0.2428883\ttotal: 1.12s\tremaining: 200ms\n849:\tlearn: 0.2427056\ttotal: 1.13s\tremaining: 199ms\n850:\tlearn: 0.2425583\ttotal: 1.13s\tremaining: 197ms\n851:\tlearn: 0.2424505\ttotal: 1.13s\tremaining: 196ms\n852:\tlearn: 0.2423473\ttotal: 1.13s\tremaining: 195ms\n853:\tlearn: 0.2421961\ttotal: 1.13s\tremaining: 194ms\n854:\tlearn: 0.2420752\ttotal: 1.13s\tremaining: 192ms\n855:\tlearn: 0.2419252\ttotal: 1.14s\tremaining: 191ms\n856:\tlearn: 0.2417955\ttotal: 1.14s\tremaining: 190ms\n857:\tlearn: 0.2416949\ttotal: 1.14s\tremaining: 188ms\n858:\tlearn: 0.2415842\ttotal: 1.14s\tremaining: 187ms\n859:\tlearn: 0.2414533\ttotal: 1.14s\tremaining: 186ms\n860:\tlearn: 0.2413509\ttotal: 1.14s\tremaining: 185ms\n861:\tlearn: 0.2412500\ttotal: 1.14s\tremaining: 183ms\n862:\tlearn: 0.2411418\ttotal: 1.15s\tremaining: 182ms\n863:\tlearn: 0.2409877\ttotal: 1.15s\tremaining: 181ms\n864:\tlearn: 0.2408537\ttotal: 1.15s\tremaining: 179ms\n865:\tlearn: 0.2407417\ttotal: 1.15s\tremaining: 178ms\n866:\tlearn: 0.2406174\ttotal: 1.15s\tremaining: 177ms\n867:\tlearn: 0.2404251\ttotal: 1.15s\tremaining: 175ms\n868:\tlearn: 0.2402592\ttotal: 1.16s\tremaining: 174ms\n869:\tlearn: 0.2401515\ttotal: 1.16s\tremaining: 173ms\n870:\tlearn: 0.2400274\ttotal: 1.16s\tremaining: 171ms\n871:\tlearn: 0.2398506\ttotal: 1.16s\tremaining: 170ms\n872:\tlearn: 0.2397343\ttotal: 1.16s\tremaining: 169ms\n873:\tlearn: 0.2395966\ttotal: 1.16s\tremaining: 167ms\n874:\tlearn: 0.2394352\ttotal: 1.16s\tremaining: 166ms\n875:\tlearn: 0.2393079\ttotal: 1.16s\tremaining: 165ms\n876:\tlearn: 0.2392096\ttotal: 1.17s\tremaining: 164ms\n877:\tlearn: 0.2390577\ttotal: 1.17s\tremaining: 162ms\n878:\tlearn: 0.2389752\ttotal: 1.17s\tremaining: 161ms\n879:\tlearn: 0.2388773\ttotal: 1.17s\tremaining: 160ms\n880:\tlearn: 0.2387703\ttotal: 1.17s\tremaining: 158ms\n881:\tlearn: 0.2385955\ttotal: 1.17s\tremaining: 157ms\n882:\tlearn: 0.2384377\ttotal: 1.17s\tremaining: 156ms\n883:\tlearn: 0.2383398\ttotal: 1.18s\tremaining: 154ms\n884:\tlearn: 0.2381853\ttotal: 1.18s\tremaining: 153ms\n885:\tlearn: 0.2380371\ttotal: 1.18s\tremaining: 152ms\n886:\tlearn: 0.2379206\ttotal: 1.18s\tremaining: 150ms\n887:\tlearn: 0.2377223\ttotal: 1.18s\tremaining: 149ms\n888:\tlearn: 0.2376358\ttotal: 1.18s\tremaining: 148ms\n889:\tlearn: 0.2374768\ttotal: 1.18s\tremaining: 146ms\n890:\tlearn: 0.2373863\ttotal: 1.18s\tremaining: 145ms\n891:\tlearn: 0.2372932\ttotal: 1.19s\tremaining: 144ms\n892:\tlearn: 0.2371005\ttotal: 1.19s\tremaining: 142ms\n893:\tlearn: 0.2369937\ttotal: 1.19s\tremaining: 141ms\n894:\tlearn: 0.2368395\ttotal: 1.19s\tremaining: 140ms\n895:\tlearn: 0.2367441\ttotal: 1.19s\tremaining: 138ms\n896:\tlearn: 0.2366415\ttotal: 1.19s\tremaining: 137ms\n897:\tlearn: 0.2365279\ttotal: 1.19s\tremaining: 136ms\n898:\tlearn: 0.2363687\ttotal: 1.2s\tremaining: 134ms\n899:\tlearn: 0.2362222\ttotal: 1.2s\tremaining: 133ms\n900:\tlearn: 0.2361391\ttotal: 1.2s\tremaining: 132ms\n901:\tlearn: 0.2360159\ttotal: 1.2s\tremaining: 130ms\n902:\tlearn: 0.2359040\ttotal: 1.2s\tremaining: 129ms\n903:\tlearn: 0.2357487\ttotal: 1.2s\tremaining: 128ms\n904:\tlearn: 0.2356280\ttotal: 1.2s\tremaining: 126ms\n905:\tlearn: 0.2354862\ttotal: 1.2s\tremaining: 125ms\n906:\tlearn: 0.2352983\ttotal: 1.21s\tremaining: 124ms\n907:\tlearn: 0.2352044\ttotal: 1.21s\tremaining: 122ms\n908:\tlearn: 0.2350961\ttotal: 1.21s\tremaining: 121ms\n909:\tlearn: 0.2349078\ttotal: 1.21s\tremaining: 120ms\n910:\tlearn: 0.2348008\ttotal: 1.21s\tremaining: 118ms\n911:\tlearn: 0.2346816\ttotal: 1.21s\tremaining: 117ms\n912:\tlearn: 0.2345767\ttotal: 1.21s\tremaining: 116ms\n913:\tlearn: 0.2344968\ttotal: 1.21s\tremaining: 114ms\n914:\tlearn: 0.2344064\ttotal: 1.22s\tremaining: 113ms\n915:\tlearn: 0.2342559\ttotal: 1.22s\tremaining: 112ms\n916:\tlearn: 0.2340730\ttotal: 1.22s\tremaining: 110ms\n917:\tlearn: 0.2339523\ttotal: 1.22s\tremaining: 109ms\n918:\tlearn: 0.2337844\ttotal: 1.22s\tremaining: 108ms\n919:\tlearn: 0.2336549\ttotal: 1.22s\tremaining: 106ms\n920:\tlearn: 0.2335465\ttotal: 1.22s\tremaining: 105ms\n921:\tlearn: 0.2333997\ttotal: 1.23s\tremaining: 104ms\n922:\tlearn: 0.2332310\ttotal: 1.23s\tremaining: 102ms\n923:\tlearn: 0.2330662\ttotal: 1.23s\tremaining: 101ms\n924:\tlearn: 0.2329749\ttotal: 1.23s\tremaining: 99.7ms\n925:\tlearn: 0.2328288\ttotal: 1.23s\tremaining: 98.4ms\n926:\tlearn: 0.2327016\ttotal: 1.23s\tremaining: 97.1ms\n927:\tlearn: 0.2325844\ttotal: 1.23s\tremaining: 95.8ms\n928:\tlearn: 0.2324867\ttotal: 1.24s\tremaining: 94.4ms\n929:\tlearn: 0.2323499\ttotal: 1.24s\tremaining: 93.1ms\n930:\tlearn: 0.2321877\ttotal: 1.24s\tremaining: 91.8ms\n931:\tlearn: 0.2320211\ttotal: 1.24s\tremaining: 90.4ms\n932:\tlearn: 0.2318794\ttotal: 1.24s\tremaining: 89.1ms\n933:\tlearn: 0.2317919\ttotal: 1.24s\tremaining: 87.8ms\n934:\tlearn: 0.2316817\ttotal: 1.24s\tremaining: 86.4ms\n935:\tlearn: 0.2315785\ttotal: 1.24s\tremaining: 85.1ms\n936:\tlearn: 0.2314369\ttotal: 1.25s\tremaining: 83.8ms\n937:\tlearn: 0.2313316\ttotal: 1.25s\tremaining: 82.5ms\n938:\tlearn: 0.2311944\ttotal: 1.25s\tremaining: 81.1ms\n939:\tlearn: 0.2310629\ttotal: 1.25s\tremaining: 79.8ms\n940:\tlearn: 0.2308922\ttotal: 1.25s\tremaining: 78.5ms\n941:\tlearn: 0.2307811\ttotal: 1.25s\tremaining: 77.1ms\n942:\tlearn: 0.2306170\ttotal: 1.25s\tremaining: 75.8ms\n943:\tlearn: 0.2305289\ttotal: 1.25s\tremaining: 74.5ms\n944:\tlearn: 0.2303702\ttotal: 1.26s\tremaining: 73.2ms\n945:\tlearn: 0.2302684\ttotal: 1.26s\tremaining: 71.8ms\n946:\tlearn: 0.2300650\ttotal: 1.26s\tremaining: 70.5ms\n947:\tlearn: 0.2299574\ttotal: 1.26s\tremaining: 69.2ms\n948:\tlearn: 0.2297789\ttotal: 1.26s\tremaining: 67.9ms\n949:\tlearn: 0.2296886\ttotal: 1.26s\tremaining: 66.5ms\n950:\tlearn: 0.2295969\ttotal: 1.26s\tremaining: 65.2ms\n951:\tlearn: 0.2294750\ttotal: 1.27s\tremaining: 63.9ms\n952:\tlearn: 0.2293852\ttotal: 1.27s\tremaining: 62.5ms\n953:\tlearn: 0.2292566\ttotal: 1.27s\tremaining: 61.2ms\n954:\tlearn: 0.2291288\ttotal: 1.27s\tremaining: 59.9ms\n955:\tlearn: 0.2289669\ttotal: 1.27s\tremaining: 58.5ms\n956:\tlearn: 0.2287992\ttotal: 1.27s\tremaining: 57.2ms\n957:\tlearn: 0.2286856\ttotal: 1.27s\tremaining: 55.9ms\n958:\tlearn: 0.2285741\ttotal: 1.27s\tremaining: 54.5ms\n959:\tlearn: 0.2283999\ttotal: 1.28s\tremaining: 53.2ms\n960:\tlearn: 0.2283209\ttotal: 1.28s\tremaining: 51.9ms\n961:\tlearn: 0.2282311\ttotal: 1.28s\tremaining: 50.6ms\n962:\tlearn: 0.2280699\ttotal: 1.28s\tremaining: 49.2ms\n963:\tlearn: 0.2279441\ttotal: 1.28s\tremaining: 47.9ms\n964:\tlearn: 0.2277671\ttotal: 1.28s\tremaining: 46.6ms\n965:\tlearn: 0.2276439\ttotal: 1.28s\tremaining: 45.2ms\n966:\tlearn: 0.2275516\ttotal: 1.29s\tremaining: 43.9ms\n967:\tlearn: 0.2274655\ttotal: 1.29s\tremaining: 42.6ms\n968:\tlearn: 0.2273657\ttotal: 1.29s\tremaining: 41.3ms\n969:\tlearn: 0.2272552\ttotal: 1.29s\tremaining: 39.9ms\n970:\tlearn: 0.2271202\ttotal: 1.29s\tremaining: 38.6ms\n971:\tlearn: 0.2269476\ttotal: 1.29s\tremaining: 37.3ms\n972:\tlearn: 0.2267795\ttotal: 1.29s\tremaining: 36ms\n973:\tlearn: 0.2266655\ttotal: 1.3s\tremaining: 34.6ms\n974:\tlearn: 0.2265102\ttotal: 1.3s\tremaining: 33.3ms\n975:\tlearn: 0.2263874\ttotal: 1.3s\tremaining: 32ms\n976:\tlearn: 0.2262242\ttotal: 1.3s\tremaining: 30.6ms\n977:\tlearn: 0.2260340\ttotal: 1.3s\tremaining: 29.3ms\n978:\tlearn: 0.2259051\ttotal: 1.3s\tremaining: 28ms\n979:\tlearn: 0.2257953\ttotal: 1.3s\tremaining: 26.6ms\n980:\tlearn: 0.2256369\ttotal: 1.31s\tremaining: 25.3ms\n981:\tlearn: 0.2255181\ttotal: 1.31s\tremaining: 24ms\n982:\tlearn: 0.2253744\ttotal: 1.31s\tremaining: 22.6ms\n983:\tlearn: 0.2253042\ttotal: 1.31s\tremaining: 21.3ms\n984:\tlearn: 0.2251955\ttotal: 1.31s\tremaining: 20ms\n985:\tlearn: 0.2250286\ttotal: 1.31s\tremaining: 18.7ms\n986:\tlearn: 0.2248336\ttotal: 1.31s\tremaining: 17.3ms\n987:\tlearn: 0.2246963\ttotal: 1.32s\tremaining: 16ms\n988:\tlearn: 0.2245518\ttotal: 1.32s\tremaining: 14.7ms\n989:\tlearn: 0.2244328\ttotal: 1.32s\tremaining: 13.3ms\n990:\tlearn: 0.2242437\ttotal: 1.32s\tremaining: 12ms\n991:\tlearn: 0.2241087\ttotal: 1.32s\tremaining: 10.7ms\n992:\tlearn: 0.2239619\ttotal: 1.32s\tremaining: 9.33ms\n993:\tlearn: 0.2238540\ttotal: 1.32s\tremaining: 8ms\n994:\tlearn: 0.2237682\ttotal: 1.33s\tremaining: 6.66ms\n995:\tlearn: 0.2235843\ttotal: 1.33s\tremaining: 5.33ms\n996:\tlearn: 0.2234413\ttotal: 1.33s\tremaining: 4ms\n997:\tlearn: 0.2233262\ttotal: 1.33s\tremaining: 2.67ms\n998:\tlearn: 0.2231933\ttotal: 1.33s\tremaining: 1.33ms\n999:\tlearn: 0.2231028\ttotal: 1.33s\tremaining: 0us\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}},{"name":"stdout","text":" Model Accuracy Precision Recall F1 Score\n0 Random Forest 0.752665 0.686394 0.660551 0.669750\n1 Support Vector Classifier 0.773987 0.721856 0.665816 0.681222\n2 Logistic Regression 0.763326 0.702406 0.663184 0.675493\n3 Decision Tree 0.695096 0.620161 0.620728 0.620441\n4 K-Nearest Neighbors 0.735608 0.661683 0.639267 0.646975\n5 Gradient Boosting 0.773987 0.717072 0.689528 0.699925\n6 AdaBoost 0.782516 0.728192 0.712026 0.718984\n7 CatBoost 0.761194 0.699333 0.683050 0.689800\n8 Extra Trees 0.761194 0.699206 0.659337 0.671569\n9 XGBoost 0.727079 0.656931 0.652337 0.654464\n10 Bagging Classifier 0.733475 0.657757 0.633050 0.641036\n","output_type":"stream"}]},{"cell_type":"code","source":"!pip install mlextend","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:10.786541Z","iopub.execute_input":"2024-07-21T17:50:10.786984Z","iopub.status.idle":"2024-07-21T17:50:12.927221Z","shell.execute_reply.started":"2024-07-21T17:50:10.786944Z","shell.execute_reply":"2024-07-21T17:50:12.925519Z"},"trusted":true},"execution_count":74,"outputs":[{"name":"stdout","text":"\u001b[31mERROR: Could not find a version that satisfies the requirement mlextend (from versions: none)\u001b[0m\u001b[31m\n\u001b[0m\u001b[31mERROR: No matching distribution found for mlextend\u001b[0m\u001b[31m\n\u001b[0m","output_type":"stream"}]},{"cell_type":"code","source":"from mlxtend.classifier import StackingClassifier\n# Define base learners and meta learner for stacking classifier\nbase_learners = [RandomForestClassifier(), SVC(), LogisticRegression(), DecisionTreeClassifier(), \n KNeighborsClassifier(), GradientBoostingClassifier(), AdaBoostClassifier(),\n CatBoostClassifier(), ExtraTreesClassifier(), XGBClassifier(), BaggingClassifier()]\nmeta_learner = LogisticRegression()\n# Initialize Stacking Classifier\nstack = StackingClassifier(classifiers=base_learners, meta_classifier=meta_learner, use_probas=False, average_probas=False)\n# Train Stacking Classifier\nstack.fit(X_train, y_train)\n","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:12.929336Z","iopub.execute_input":"2024-07-21T17:50:12.929692Z","iopub.status.idle":"2024-07-21T17:50:16.120676Z","shell.execute_reply.started":"2024-07-21T17:50:12.929663Z","shell.execute_reply":"2024-07-21T17:50:16.118946Z"},"trusted":true},"execution_count":75,"outputs":[{"name":"stdout","text":"Learning rate set to 0.013477\n0:\tlearn: 0.6838656\ttotal: 1.71ms\tremaining: 1.71s\n1:\tlearn: 0.6758078\ttotal: 3.06ms\tremaining: 1.52s\n2:\tlearn: 0.6674481\ttotal: 4.36ms\tremaining: 1.45s\n3:\tlearn: 0.6583720\ttotal: 5.62ms\tremaining: 1.4s\n4:\tlearn: 0.6509284\ttotal: 7ms\tremaining: 1.39s\n5:\tlearn: 0.6431915\ttotal: 8.45ms\tremaining: 1.4s\n6:\tlearn: 0.6373617\ttotal: 9.69ms\tremaining: 1.37s\n7:\tlearn: 0.6305452\ttotal: 10.9ms\tremaining: 1.36s\n8:\tlearn: 0.6240415\ttotal: 12.2ms\tremaining: 1.34s\n9:\tlearn: 0.6181451\ttotal: 13.5ms\tremaining: 1.33s\n10:\tlearn: 0.6116032\ttotal: 14.7ms\tremaining: 1.32s\n11:\tlearn: 0.6057016\ttotal: 16ms\tremaining: 1.32s\n12:\tlearn: 0.5992679\ttotal: 17.3ms\tremaining: 1.31s\n13:\tlearn: 0.5938989\ttotal: 18.5ms\tremaining: 1.3s\n14:\tlearn: 0.5881622\ttotal: 19.7ms\tremaining: 1.3s\n15:\tlearn: 0.5824536\ttotal: 21ms\tremaining: 1.29s\n16:\tlearn: 0.5772842\ttotal: 22.3ms\tremaining: 1.29s\n17:\tlearn: 0.5721793\ttotal: 23.5ms\tremaining: 1.28s\n18:\tlearn: 0.5690468\ttotal: 24.6ms\tremaining: 1.27s\n19:\tlearn: 0.5644471\ttotal: 25.9ms\tremaining: 1.27s\n20:\tlearn: 0.5608056\ttotal: 27.1ms\tremaining: 1.26s\n21:\tlearn: 0.5562242\ttotal: 28.4ms\tremaining: 1.26s\n22:\tlearn: 0.5522125\ttotal: 29.7ms\tremaining: 1.26s\n23:\tlearn: 0.5479600\ttotal: 30.9ms\tremaining: 1.26s\n24:\tlearn: 0.5443633\ttotal: 32.2ms\tremaining: 1.25s\n25:\tlearn: 0.5405790\ttotal: 33.4ms\tremaining: 1.25s\n26:\tlearn: 0.5364419\ttotal: 34.9ms\tremaining: 1.26s\n27:\tlearn: 0.5329990\ttotal: 36.2ms\tremaining: 1.25s\n28:\tlearn: 0.5298083\ttotal: 37.4ms\tremaining: 1.25s\n29:\tlearn: 0.5257863\ttotal: 38.7ms\tremaining: 1.25s\n30:\tlearn: 0.5225180\ttotal: 40ms\tremaining: 1.25s\n31:\tlearn: 0.5197893\ttotal: 41.3ms\tremaining: 1.25s\n32:\tlearn: 0.5166048\ttotal: 42.7ms\tremaining: 1.25s\n33:\tlearn: 0.5133304\ttotal: 43.9ms\tremaining: 1.25s\n34:\tlearn: 0.5101360\ttotal: 45.2ms\tremaining: 1.25s\n35:\tlearn: 0.5067611\ttotal: 46.6ms\tremaining: 1.25s\n36:\tlearn: 0.5038938\ttotal: 47.9ms\tremaining: 1.25s\n37:\tlearn: 0.5012076\ttotal: 49.3ms\tremaining: 1.25s\n38:\tlearn: 0.4986865\ttotal: 50.8ms\tremaining: 1.25s\n39:\tlearn: 0.4960242\ttotal: 52.1ms\tremaining: 1.25s\n40:\tlearn: 0.4941094\ttotal: 53.4ms\tremaining: 1.25s\n41:\tlearn: 0.4917178\ttotal: 54.9ms\tremaining: 1.25s\n42:\tlearn: 0.4894410\ttotal: 56.3ms\tremaining: 1.25s\n43:\tlearn: 0.4876576\ttotal: 57.7ms\tremaining: 1.25s\n44:\tlearn: 0.4861331\ttotal: 59ms\tremaining: 1.25s\n45:\tlearn: 0.4833094\ttotal: 60.3ms\tremaining: 1.25s\n46:\tlearn: 0.4809459\ttotal: 61.6ms\tremaining: 1.25s\n47:\tlearn: 0.4789782\ttotal: 62.9ms\tremaining: 1.25s\n48:\tlearn: 0.4774782\ttotal: 64.2ms\tremaining: 1.25s\n49:\tlearn: 0.4753783\ttotal: 65.5ms\tremaining: 1.24s\n50:\tlearn: 0.4728362\ttotal: 66.8ms\tremaining: 1.24s\n51:\tlearn: 0.4706000\ttotal: 68.1ms\tremaining: 1.24s\n52:\tlearn: 0.4685507\ttotal: 69.7ms\tremaining: 1.25s\n53:\tlearn: 0.4666814\ttotal: 71.1ms\tremaining: 1.24s\n54:\tlearn: 0.4648348\ttotal: 72.4ms\tremaining: 1.24s\n55:\tlearn: 0.4628744\ttotal: 73.8ms\tremaining: 1.24s\n56:\tlearn: 0.4612058\ttotal: 75.4ms\tremaining: 1.25s\n57:\tlearn: 0.4591243\ttotal: 76.8ms\tremaining: 1.25s\n58:\tlearn: 0.4571499\ttotal: 78.3ms\tremaining: 1.25s\n59:\tlearn: 0.4556636\ttotal: 79.8ms\tremaining: 1.25s\n60:\tlearn: 0.4540737\ttotal: 81.4ms\tremaining: 1.25s\n61:\tlearn: 0.4524821\ttotal: 82.7ms\tremaining: 1.25s\n62:\tlearn: 0.4511638\ttotal: 84.1ms\tremaining: 1.25s\n63:\tlearn: 0.4496792\ttotal: 85.5ms\tremaining: 1.25s\n64:\tlearn: 0.4482901\ttotal: 86.9ms\tremaining: 1.25s\n65:\tlearn: 0.4468370\ttotal: 88.2ms\tremaining: 1.25s\n66:\tlearn: 0.4452703\ttotal: 89.6ms\tremaining: 1.25s\n67:\tlearn: 0.4441687\ttotal: 91ms\tremaining: 1.25s\n68:\tlearn: 0.4427134\ttotal: 92.3ms\tremaining: 1.25s\n69:\tlearn: 0.4411629\ttotal: 93.7ms\tremaining: 1.24s\n70:\tlearn: 0.4398318\ttotal: 95ms\tremaining: 1.24s\n71:\tlearn: 0.4385469\ttotal: 96.4ms\tremaining: 1.24s\n72:\tlearn: 0.4373829\ttotal: 97.7ms\tremaining: 1.24s\n73:\tlearn: 0.4360992\ttotal: 99.2ms\tremaining: 1.24s\n74:\tlearn: 0.4350130\ttotal: 101ms\tremaining: 1.24s\n75:\tlearn: 0.4340907\ttotal: 102ms\tremaining: 1.24s\n76:\tlearn: 0.4330526\ttotal: 103ms\tremaining: 1.24s\n77:\tlearn: 0.4321139\ttotal: 104ms\tremaining: 1.23s\n78:\tlearn: 0.4307044\ttotal: 106ms\tremaining: 1.23s\n79:\tlearn: 0.4299842\ttotal: 107ms\tremaining: 1.23s\n80:\tlearn: 0.4291736\ttotal: 108ms\tremaining: 1.23s\n81:\tlearn: 0.4280273\ttotal: 110ms\tremaining: 1.23s\n82:\tlearn: 0.4269721\ttotal: 111ms\tremaining: 1.23s\n83:\tlearn: 0.4259817\ttotal: 112ms\tremaining: 1.23s\n84:\tlearn: 0.4250015\ttotal: 114ms\tremaining: 1.22s\n85:\tlearn: 0.4239173\ttotal: 115ms\tremaining: 1.23s\n86:\tlearn: 0.4229586\ttotal: 117ms\tremaining: 1.23s\n87:\tlearn: 0.4220666\ttotal: 119ms\tremaining: 1.23s\n88:\tlearn: 0.4210140\ttotal: 120ms\tremaining: 1.23s\n89:\tlearn: 0.4200321\ttotal: 121ms\tremaining: 1.23s\n90:\tlearn: 0.4190811\ttotal: 123ms\tremaining: 1.22s\n91:\tlearn: 0.4178803\ttotal: 124ms\tremaining: 1.22s\n92:\tlearn: 0.4171507\ttotal: 125ms\tremaining: 1.22s\n93:\tlearn: 0.4162712\ttotal: 127ms\tremaining: 1.22s\n94:\tlearn: 0.4150368\ttotal: 128ms\tremaining: 1.22s\n95:\tlearn: 0.4140393\ttotal: 129ms\tremaining: 1.22s\n96:\tlearn: 0.4131950\ttotal: 130ms\tremaining: 1.21s\n97:\tlearn: 0.4120038\ttotal: 132ms\tremaining: 1.21s\n98:\tlearn: 0.4112120\ttotal: 133ms\tremaining: 1.21s\n99:\tlearn: 0.4107803\ttotal: 134ms\tremaining: 1.21s\n100:\tlearn: 0.4099592\ttotal: 135ms\tremaining: 1.21s\n101:\tlearn: 0.4094548\ttotal: 137ms\tremaining: 1.2s\n102:\tlearn: 0.4086998\ttotal: 138ms\tremaining: 1.2s\n103:\tlearn: 0.4080693\ttotal: 139ms\tremaining: 1.2s\n104:\tlearn: 0.4072141\ttotal: 141ms\tremaining: 1.2s\n105:\tlearn: 0.4068332\ttotal: 142ms\tremaining: 1.2s\n106:\tlearn: 0.4061805\ttotal: 143ms\tremaining: 1.19s\n107:\tlearn: 0.4057864\ttotal: 144ms\tremaining: 1.19s\n108:\tlearn: 0.4050086\ttotal: 146ms\tremaining: 1.19s\n109:\tlearn: 0.4043780\ttotal: 147ms\tremaining: 1.19s\n110:\tlearn: 0.4035184\ttotal: 148ms\tremaining: 1.19s\n111:\tlearn: 0.4029431\ttotal: 150ms\tremaining: 1.19s\n112:\tlearn: 0.4023117\ttotal: 151ms\tremaining: 1.18s\n113:\tlearn: 0.4017164\ttotal: 153ms\tremaining: 1.19s\n114:\tlearn: 0.4010964\ttotal: 154ms\tremaining: 1.19s\n115:\tlearn: 0.4002701\ttotal: 155ms\tremaining: 1.18s\n116:\tlearn: 0.3995851\ttotal: 157ms\tremaining: 1.18s\n117:\tlearn: 0.3988357\ttotal: 158ms\tremaining: 1.18s\n118:\tlearn: 0.3981552\ttotal: 160ms\tremaining: 1.18s\n119:\tlearn: 0.3975807\ttotal: 161ms\tremaining: 1.18s\n120:\tlearn: 0.3969913\ttotal: 162ms\tremaining: 1.18s\n121:\tlearn: 0.3963573\ttotal: 164ms\tremaining: 1.18s\n122:\tlearn: 0.3957974\ttotal: 165ms\tremaining: 1.18s\n123:\tlearn: 0.3952270\ttotal: 166ms\tremaining: 1.18s\n124:\tlearn: 0.3946346\ttotal: 168ms\tremaining: 1.17s\n125:\tlearn: 0.3941434\ttotal: 169ms\tremaining: 1.17s\n126:\tlearn: 0.3935366\ttotal: 170ms\tremaining: 1.17s\n127:\tlearn: 0.3928694\ttotal: 172ms\tremaining: 1.17s\n128:\tlearn: 0.3923522\ttotal: 173ms\tremaining: 1.17s\n129:\tlearn: 0.3917551\ttotal: 174ms\tremaining: 1.17s\n130:\tlearn: 0.3912321\ttotal: 176ms\tremaining: 1.17s\n131:\tlearn: 0.3907711\ttotal: 177ms\tremaining: 1.16s\n132:\tlearn: 0.3903551\ttotal: 178ms\tremaining: 1.16s\n133:\tlearn: 0.3895483\ttotal: 180ms\tremaining: 1.16s\n134:\tlearn: 0.3891096\ttotal: 181ms\tremaining: 1.16s\n135:\tlearn: 0.3886794\ttotal: 182ms\tremaining: 1.16s\n136:\tlearn: 0.3881677\ttotal: 184ms\tremaining: 1.16s\n137:\tlearn: 0.3875279\ttotal: 186ms\tremaining: 1.16s\n138:\tlearn: 0.3870149\ttotal: 188ms\tremaining: 1.16s\n139:\tlearn: 0.3864852\ttotal: 189ms\tremaining: 1.16s\n140:\tlearn: 0.3860731\ttotal: 191ms\tremaining: 1.16s\n141:\tlearn: 0.3855636\ttotal: 192ms\tremaining: 1.16s\n142:\tlearn: 0.3851173\ttotal: 194ms\tremaining: 1.16s\n143:\tlearn: 0.3847052\ttotal: 195ms\tremaining: 1.16s\n144:\tlearn: 0.3839497\ttotal: 196ms\tremaining: 1.16s\n145:\tlearn: 0.3834139\ttotal: 198ms\tremaining: 1.16s\n146:\tlearn: 0.3829551\ttotal: 199ms\tremaining: 1.16s\n147:\tlearn: 0.3825137\ttotal: 200ms\tremaining: 1.15s\n148:\tlearn: 0.3820628\ttotal: 202ms\tremaining: 1.15s\n149:\tlearn: 0.3816702\ttotal: 203ms\tremaining: 1.15s\n150:\tlearn: 0.3812220\ttotal: 205ms\tremaining: 1.15s\n151:\tlearn: 0.3807033\ttotal: 206ms\tremaining: 1.15s\n152:\tlearn: 0.3802626\ttotal: 208ms\tremaining: 1.15s\n153:\tlearn: 0.3798004\ttotal: 209ms\tremaining: 1.15s\n154:\tlearn: 0.3796631\ttotal: 210ms\tremaining: 1.15s\n155:\tlearn: 0.3794263\ttotal: 212ms\tremaining: 1.14s\n156:\tlearn: 0.3790312\ttotal: 213ms\tremaining: 1.15s\n157:\tlearn: 0.3785859\ttotal: 215ms\tremaining: 1.14s\n158:\tlearn: 0.3782018\ttotal: 216ms\tremaining: 1.14s\n159:\tlearn: 0.3776881\ttotal: 217ms\tremaining: 1.14s\n160:\tlearn: 0.3772753\ttotal: 219ms\tremaining: 1.14s\n161:\tlearn: 0.3767445\ttotal: 220ms\tremaining: 1.14s\n162:\tlearn: 0.3762077\ttotal: 221ms\tremaining: 1.14s\n163:\tlearn: 0.3757532\ttotal: 223ms\tremaining: 1.13s\n164:\tlearn: 0.3754873\ttotal: 224ms\tremaining: 1.13s\n165:\tlearn: 0.3750546\ttotal: 225ms\tremaining: 1.13s\n166:\tlearn: 0.3746284\ttotal: 226ms\tremaining: 1.13s\n167:\tlearn: 0.3742116\ttotal: 228ms\tremaining: 1.13s\n168:\tlearn: 0.3738200\ttotal: 229ms\tremaining: 1.13s\n169:\tlearn: 0.3734268\ttotal: 231ms\tremaining: 1.13s\n170:\tlearn: 0.3731184\ttotal: 232ms\tremaining: 1.13s\n171:\tlearn: 0.3727546\ttotal: 233ms\tremaining: 1.12s\n172:\tlearn: 0.3723824\ttotal: 235ms\tremaining: 1.12s\n173:\tlearn: 0.3720684\ttotal: 236ms\tremaining: 1.12s\n174:\tlearn: 0.3716427\ttotal: 238ms\tremaining: 1.12s\n175:\tlearn: 0.3711650\ttotal: 240ms\tremaining: 1.12s\n176:\tlearn: 0.3707969\ttotal: 242ms\tremaining: 1.12s\n177:\tlearn: 0.3704168\ttotal: 244ms\tremaining: 1.13s\n178:\tlearn: 0.3699671\ttotal: 245ms\tremaining: 1.13s\n179:\tlearn: 0.3695791\ttotal: 247ms\tremaining: 1.12s\n180:\tlearn: 0.3691587\ttotal: 250ms\tremaining: 1.13s\n181:\tlearn: 0.3688321\ttotal: 253ms\tremaining: 1.14s\n182:\tlearn: 0.3684468\ttotal: 256ms\tremaining: 1.14s\n183:\tlearn: 0.3681522\ttotal: 260ms\tremaining: 1.15s\n184:\tlearn: 0.3679301\ttotal: 262ms\tremaining: 1.15s\n185:\tlearn: 0.3676040\ttotal: 263ms\tremaining: 1.15s\n186:\tlearn: 0.3672947\ttotal: 264ms\tremaining: 1.15s\n187:\tlearn: 0.3668426\ttotal: 266ms\tremaining: 1.15s\n188:\tlearn: 0.3664749\ttotal: 267ms\tremaining: 1.15s\n189:\tlearn: 0.3659812\ttotal: 269ms\tremaining: 1.15s\n190:\tlearn: 0.3656888\ttotal: 270ms\tremaining: 1.14s\n191:\tlearn: 0.3653473\ttotal: 271ms\tremaining: 1.14s\n192:\tlearn: 0.3649575\ttotal: 273ms\tremaining: 1.14s\n193:\tlearn: 0.3645062\ttotal: 275ms\tremaining: 1.14s\n194:\tlearn: 0.3641390\ttotal: 277ms\tremaining: 1.14s\n195:\tlearn: 0.3638571\ttotal: 279ms\tremaining: 1.14s\n196:\tlearn: 0.3635655\ttotal: 280ms\tremaining: 1.14s\n197:\tlearn: 0.3631415\ttotal: 282ms\tremaining: 1.14s\n198:\tlearn: 0.3628179\ttotal: 283ms\tremaining: 1.14s\n199:\tlearn: 0.3625360\ttotal: 285ms\tremaining: 1.14s\n200:\tlearn: 0.3623035\ttotal: 286ms\tremaining: 1.14s\n201:\tlearn: 0.3619772\ttotal: 287ms\tremaining: 1.14s\n202:\tlearn: 0.3616644\ttotal: 289ms\tremaining: 1.13s\n203:\tlearn: 0.3615650\ttotal: 290ms\tremaining: 1.13s\n204:\tlearn: 0.3612219\ttotal: 292ms\tremaining: 1.13s\n205:\tlearn: 0.3607920\ttotal: 293ms\tremaining: 1.13s\n206:\tlearn: 0.3604719\ttotal: 295ms\tremaining: 1.13s\n207:\tlearn: 0.3602678\ttotal: 296ms\tremaining: 1.13s\n208:\tlearn: 0.3600256\ttotal: 297ms\tremaining: 1.13s\n209:\tlearn: 0.3597211\ttotal: 299ms\tremaining: 1.12s\n210:\tlearn: 0.3593575\ttotal: 300ms\tremaining: 1.12s\n211:\tlearn: 0.3590378\ttotal: 302ms\tremaining: 1.12s\n212:\tlearn: 0.3589888\ttotal: 303ms\tremaining: 1.12s\n213:\tlearn: 0.3586668\ttotal: 304ms\tremaining: 1.12s\n214:\tlearn: 0.3586154\ttotal: 305ms\tremaining: 1.11s\n215:\tlearn: 0.3583470\ttotal: 307ms\tremaining: 1.11s\n216:\tlearn: 0.3581083\ttotal: 308ms\tremaining: 1.11s\n217:\tlearn: 0.3578125\ttotal: 309ms\tremaining: 1.11s\n218:\tlearn: 0.3574743\ttotal: 311ms\tremaining: 1.11s\n219:\tlearn: 0.3571345\ttotal: 312ms\tremaining: 1.11s\n220:\tlearn: 0.3568790\ttotal: 314ms\tremaining: 1.1s\n221:\tlearn: 0.3564717\ttotal: 315ms\tremaining: 1.1s\n222:\tlearn: 0.3560492\ttotal: 316ms\tremaining: 1.1s\n223:\tlearn: 0.3557979\ttotal: 320ms\tremaining: 1.11s\n224:\tlearn: 0.3555973\ttotal: 321ms\tremaining: 1.11s\n225:\tlearn: 0.3552493\ttotal: 323ms\tremaining: 1.1s\n226:\tlearn: 0.3550137\ttotal: 324ms\tremaining: 1.1s\n227:\tlearn: 0.3546823\ttotal: 325ms\tremaining: 1.1s\n228:\tlearn: 0.3543253\ttotal: 327ms\tremaining: 1.1s\n229:\tlearn: 0.3541066\ttotal: 328ms\tremaining: 1.1s\n230:\tlearn: 0.3538600\ttotal: 330ms\tremaining: 1.1s\n231:\tlearn: 0.3534868\ttotal: 331ms\tremaining: 1.09s\n232:\tlearn: 0.3531985\ttotal: 332ms\tremaining: 1.09s\n233:\tlearn: 0.3529198\ttotal: 333ms\tremaining: 1.09s\n234:\tlearn: 0.3526271\ttotal: 335ms\tremaining: 1.09s\n235:\tlearn: 0.3523048\ttotal: 336ms\tremaining: 1.09s\n236:\tlearn: 0.3520437\ttotal: 337ms\tremaining: 1.08s\n237:\tlearn: 0.3516882\ttotal: 338ms\tremaining: 1.08s\n238:\tlearn: 0.3514538\ttotal: 340ms\tremaining: 1.08s\n239:\tlearn: 0.3512176\ttotal: 341ms\tremaining: 1.08s\n240:\tlearn: 0.3509431\ttotal: 342ms\tremaining: 1.08s\n241:\tlearn: 0.3506362\ttotal: 343ms\tremaining: 1.07s\n242:\tlearn: 0.3503934\ttotal: 345ms\tremaining: 1.07s\n243:\tlearn: 0.3501993\ttotal: 346ms\tremaining: 1.07s\n244:\tlearn: 0.3500023\ttotal: 347ms\tremaining: 1.07s\n245:\tlearn: 0.3498073\ttotal: 348ms\tremaining: 1.07s\n246:\tlearn: 0.3496334\ttotal: 349ms\tremaining: 1.06s\n247:\tlearn: 0.3493233\ttotal: 351ms\tremaining: 1.06s\n248:\tlearn: 0.3490207\ttotal: 352ms\tremaining: 1.06s\n249:\tlearn: 0.3487930\ttotal: 353ms\tremaining: 1.06s\n250:\tlearn: 0.3485273\ttotal: 355ms\tremaining: 1.06s\n251:\tlearn: 0.3483183\ttotal: 356ms\tremaining: 1.05s\n252:\tlearn: 0.3481449\ttotal: 357ms\tremaining: 1.05s\n253:\tlearn: 0.3479113\ttotal: 358ms\tremaining: 1.05s\n254:\tlearn: 0.3476127\ttotal: 360ms\tremaining: 1.05s\n255:\tlearn: 0.3472854\ttotal: 361ms\tremaining: 1.05s\n256:\tlearn: 0.3469425\ttotal: 362ms\tremaining: 1.05s\n257:\tlearn: 0.3468701\ttotal: 363ms\tremaining: 1.04s\n258:\tlearn: 0.3466920\ttotal: 365ms\tremaining: 1.04s\n259:\tlearn: 0.3464607\ttotal: 366ms\tremaining: 1.04s\n260:\tlearn: 0.3462171\ttotal: 367ms\tremaining: 1.04s\n261:\tlearn: 0.3461673\ttotal: 368ms\tremaining: 1.04s\n262:\tlearn: 0.3459325\ttotal: 370ms\tremaining: 1.03s\n263:\tlearn: 0.3456664\ttotal: 371ms\tremaining: 1.03s\n264:\tlearn: 0.3453805\ttotal: 372ms\tremaining: 1.03s\n265:\tlearn: 0.3451982\ttotal: 374ms\tremaining: 1.03s\n266:\tlearn: 0.3449740\ttotal: 375ms\tremaining: 1.03s\n267:\tlearn: 0.3447986\ttotal: 377ms\tremaining: 1.03s\n268:\tlearn: 0.3445476\ttotal: 378ms\tremaining: 1.03s\n269:\tlearn: 0.3443443\ttotal: 379ms\tremaining: 1.02s\n270:\tlearn: 0.3440121\ttotal: 381ms\tremaining: 1.02s\n271:\tlearn: 0.3437523\ttotal: 382ms\tremaining: 1.02s\n272:\tlearn: 0.3434180\ttotal: 383ms\tremaining: 1.02s\n273:\tlearn: 0.3431703\ttotal: 385ms\tremaining: 1.02s\n274:\tlearn: 0.3429551\ttotal: 386ms\tremaining: 1.02s\n275:\tlearn: 0.3426571\ttotal: 387ms\tremaining: 1.02s\n276:\tlearn: 0.3424543\ttotal: 389ms\tremaining: 1.01s\n277:\tlearn: 0.3421855\ttotal: 390ms\tremaining: 1.01s\n278:\tlearn: 0.3419199\ttotal: 391ms\tremaining: 1.01s\n279:\tlearn: 0.3416234\ttotal: 392ms\tremaining: 1.01s\n280:\tlearn: 0.3414410\ttotal: 394ms\tremaining: 1.01s\n281:\tlearn: 0.3410844\ttotal: 395ms\tremaining: 1.01s\n282:\tlearn: 0.3407167\ttotal: 397ms\tremaining: 1s\n283:\tlearn: 0.3406982\ttotal: 398ms\tremaining: 1s\n284:\tlearn: 0.3404485\ttotal: 399ms\tremaining: 1s\n285:\tlearn: 0.3402440\ttotal: 400ms\tremaining: 999ms\n286:\tlearn: 0.3399089\ttotal: 401ms\tremaining: 997ms\n287:\tlearn: 0.3397277\ttotal: 403ms\tremaining: 996ms\n288:\tlearn: 0.3394403\ttotal: 404ms\tremaining: 994ms\n289:\tlearn: 0.3392802\ttotal: 406ms\tremaining: 993ms\n290:\tlearn: 0.3389966\ttotal: 407ms\tremaining: 992ms\n291:\tlearn: 0.3387269\ttotal: 408ms\tremaining: 990ms\n292:\tlearn: 0.3384379\ttotal: 410ms\tremaining: 988ms\n293:\tlearn: 0.3382130\ttotal: 411ms\tremaining: 987ms\n294:\tlearn: 0.3380097\ttotal: 412ms\tremaining: 985ms\n295:\tlearn: 0.3376649\ttotal: 414ms\tremaining: 984ms\n296:\tlearn: 0.3373943\ttotal: 415ms\tremaining: 982ms\n297:\tlearn: 0.3373692\ttotal: 416ms\tremaining: 980ms\n298:\tlearn: 0.3372242\ttotal: 417ms\tremaining: 979ms\n299:\tlearn: 0.3371052\ttotal: 419ms\tremaining: 978ms\n300:\tlearn: 0.3368458\ttotal: 420ms\tremaining: 976ms\n301:\tlearn: 0.3365440\ttotal: 422ms\tremaining: 974ms\n302:\tlearn: 0.3364032\ttotal: 423ms\tremaining: 973ms\n303:\tlearn: 0.3361169\ttotal: 424ms\tremaining: 972ms\n304:\tlearn: 0.3358718\ttotal: 426ms\tremaining: 970ms\n305:\tlearn: 0.3356318\ttotal: 427ms\tremaining: 969ms\n306:\tlearn: 0.3356035\ttotal: 428ms\tremaining: 967ms\n307:\tlearn: 0.3354056\ttotal: 429ms\tremaining: 965ms\n308:\tlearn: 0.3350256\ttotal: 431ms\tremaining: 963ms\n309:\tlearn: 0.3348244\ttotal: 432ms\tremaining: 962ms\n310:\tlearn: 0.3344690\ttotal: 433ms\tremaining: 960ms\n311:\tlearn: 0.3341631\ttotal: 435ms\tremaining: 959ms\n312:\tlearn: 0.3341294\ttotal: 436ms\tremaining: 956ms\n313:\tlearn: 0.3339216\ttotal: 437ms\tremaining: 955ms\n314:\tlearn: 0.3337193\ttotal: 438ms\tremaining: 953ms\n315:\tlearn: 0.3335134\ttotal: 440ms\tremaining: 952ms\n316:\tlearn: 0.3332284\ttotal: 441ms\tremaining: 951ms\n317:\tlearn: 0.3330645\ttotal: 443ms\tremaining: 949ms\n318:\tlearn: 0.3328726\ttotal: 444ms\tremaining: 948ms\n319:\tlearn: 0.3326566\ttotal: 445ms\tremaining: 946ms\n320:\tlearn: 0.3324417\ttotal: 447ms\tremaining: 945ms\n321:\tlearn: 0.3322102\ttotal: 448ms\tremaining: 943ms\n322:\tlearn: 0.3319472\ttotal: 449ms\tremaining: 942ms\n323:\tlearn: 0.3318250\ttotal: 450ms\tremaining: 940ms\n324:\tlearn: 0.3315776\ttotal: 452ms\tremaining: 938ms\n325:\tlearn: 0.3314118\ttotal: 453ms\tremaining: 937ms\n326:\tlearn: 0.3312500\ttotal: 454ms\tremaining: 935ms\n327:\tlearn: 0.3310297\ttotal: 456ms\tremaining: 933ms\n328:\tlearn: 0.3308546\ttotal: 457ms\tremaining: 932ms\n329:\tlearn: 0.3306564\ttotal: 458ms\tremaining: 930ms\n330:\tlearn: 0.3305563\ttotal: 459ms\tremaining: 928ms\n331:\tlearn: 0.3304758\ttotal: 461ms\tremaining: 927ms\n332:\tlearn: 0.3301638\ttotal: 462ms\tremaining: 925ms\n333:\tlearn: 0.3298371\ttotal: 463ms\tremaining: 924ms\n334:\tlearn: 0.3296341\ttotal: 465ms\tremaining: 923ms\n335:\tlearn: 0.3293369\ttotal: 466ms\tremaining: 921ms\n336:\tlearn: 0.3291061\ttotal: 467ms\tremaining: 920ms\n337:\tlearn: 0.3288663\ttotal: 469ms\tremaining: 918ms\n338:\tlearn: 0.3286668\ttotal: 470ms\tremaining: 917ms\n339:\tlearn: 0.3283135\ttotal: 471ms\tremaining: 915ms\n340:\tlearn: 0.3281119\ttotal: 473ms\tremaining: 913ms\n341:\tlearn: 0.3278855\ttotal: 474ms\tremaining: 912ms\n342:\tlearn: 0.3276559\ttotal: 475ms\tremaining: 910ms\n343:\tlearn: 0.3274257\ttotal: 476ms\tremaining: 909ms\n344:\tlearn: 0.3272050\ttotal: 478ms\tremaining: 907ms\n345:\tlearn: 0.3270119\ttotal: 479ms\tremaining: 905ms\n346:\tlearn: 0.3267618\ttotal: 480ms\tremaining: 904ms\n347:\tlearn: 0.3265265\ttotal: 482ms\tremaining: 902ms\n348:\tlearn: 0.3263297\ttotal: 483ms\tremaining: 901ms\n349:\tlearn: 0.3261416\ttotal: 484ms\tremaining: 899ms\n350:\tlearn: 0.3258940\ttotal: 485ms\tremaining: 897ms\n351:\tlearn: 0.3257441\ttotal: 487ms\tremaining: 896ms\n352:\tlearn: 0.3257247\ttotal: 488ms\tremaining: 894ms\n353:\tlearn: 0.3255059\ttotal: 489ms\tremaining: 892ms\n354:\tlearn: 0.3253445\ttotal: 490ms\tremaining: 891ms\n355:\tlearn: 0.3250101\ttotal: 491ms\tremaining: 889ms\n356:\tlearn: 0.3248142\ttotal: 493ms\tremaining: 887ms\n357:\tlearn: 0.3246638\ttotal: 494ms\tremaining: 886ms\n358:\tlearn: 0.3245202\ttotal: 495ms\tremaining: 884ms\n359:\tlearn: 0.3242119\ttotal: 497ms\tremaining: 883ms\n360:\tlearn: 0.3239574\ttotal: 498ms\tremaining: 881ms\n361:\tlearn: 0.3237838\ttotal: 499ms\tremaining: 880ms\n362:\tlearn: 0.3235004\ttotal: 500ms\tremaining: 878ms\n363:\tlearn: 0.3232922\ttotal: 502ms\tremaining: 876ms\n364:\tlearn: 0.3230232\ttotal: 503ms\tremaining: 875ms\n365:\tlearn: 0.3228873\ttotal: 504ms\tremaining: 873ms\n366:\tlearn: 0.3227095\ttotal: 505ms\tremaining: 872ms\n367:\tlearn: 0.3225151\ttotal: 507ms\tremaining: 870ms\n368:\tlearn: 0.3223609\ttotal: 508ms\tremaining: 869ms\n369:\tlearn: 0.3221793\ttotal: 509ms\tremaining: 867ms\n370:\tlearn: 0.3219470\ttotal: 510ms\tremaining: 865ms\n371:\tlearn: 0.3217563\ttotal: 512ms\tremaining: 864ms\n372:\tlearn: 0.3215259\ttotal: 513ms\tremaining: 862ms\n373:\tlearn: 0.3213921\ttotal: 514ms\tremaining: 861ms\n374:\tlearn: 0.3212560\ttotal: 516ms\tremaining: 859ms\n375:\tlearn: 0.3209756\ttotal: 517ms\tremaining: 858ms\n376:\tlearn: 0.3208119\ttotal: 518ms\tremaining: 856ms\n377:\tlearn: 0.3205885\ttotal: 520ms\tremaining: 855ms\n378:\tlearn: 0.3205233\ttotal: 521ms\tremaining: 853ms\n379:\tlearn: 0.3203816\ttotal: 522ms\tremaining: 852ms\n380:\tlearn: 0.3202002\ttotal: 523ms\tremaining: 850ms\n381:\tlearn: 0.3200266\ttotal: 525ms\tremaining: 849ms\n382:\tlearn: 0.3198362\ttotal: 526ms\tremaining: 847ms\n383:\tlearn: 0.3195630\ttotal: 527ms\tremaining: 846ms\n384:\tlearn: 0.3194004\ttotal: 528ms\tremaining: 844ms\n385:\tlearn: 0.3192132\ttotal: 530ms\tremaining: 843ms\n386:\tlearn: 0.3190499\ttotal: 531ms\tremaining: 841ms\n387:\tlearn: 0.3188472\ttotal: 533ms\tremaining: 840ms\n388:\tlearn: 0.3186495\ttotal: 534ms\tremaining: 839ms\n389:\tlearn: 0.3184074\ttotal: 536ms\tremaining: 838ms\n390:\tlearn: 0.3181990\ttotal: 537ms\tremaining: 836ms\n391:\tlearn: 0.3180053\ttotal: 538ms\tremaining: 835ms\n392:\tlearn: 0.3176707\ttotal: 540ms\tremaining: 834ms\n393:\tlearn: 0.3175041\ttotal: 541ms\tremaining: 833ms\n394:\tlearn: 0.3173406\ttotal: 543ms\tremaining: 831ms\n395:\tlearn: 0.3172226\ttotal: 544ms\tremaining: 830ms\n396:\tlearn: 0.3170523\ttotal: 545ms\tremaining: 828ms\n397:\tlearn: 0.3168946\ttotal: 547ms\tremaining: 827ms\n398:\tlearn: 0.3166836\ttotal: 548ms\tremaining: 825ms\n399:\tlearn: 0.3165552\ttotal: 549ms\tremaining: 824ms\n400:\tlearn: 0.3163364\ttotal: 551ms\tremaining: 822ms\n401:\tlearn: 0.3162982\ttotal: 552ms\tremaining: 821ms\n402:\tlearn: 0.3160446\ttotal: 553ms\tremaining: 819ms\n403:\tlearn: 0.3157943\ttotal: 554ms\tremaining: 818ms\n404:\tlearn: 0.3157422\ttotal: 555ms\tremaining: 816ms\n405:\tlearn: 0.3155487\ttotal: 557ms\tremaining: 815ms\n406:\tlearn: 0.3153704\ttotal: 558ms\tremaining: 813ms\n407:\tlearn: 0.3151216\ttotal: 560ms\tremaining: 813ms\n408:\tlearn: 0.3149820\ttotal: 562ms\tremaining: 812ms\n409:\tlearn: 0.3147236\ttotal: 563ms\tremaining: 811ms\n410:\tlearn: 0.3145455\ttotal: 565ms\tremaining: 809ms\n411:\tlearn: 0.3144075\ttotal: 566ms\tremaining: 808ms\n412:\tlearn: 0.3143930\ttotal: 567ms\tremaining: 806ms\n413:\tlearn: 0.3142231\ttotal: 569ms\tremaining: 805ms\n414:\tlearn: 0.3139974\ttotal: 570ms\tremaining: 803ms\n415:\tlearn: 0.3138447\ttotal: 571ms\tremaining: 802ms\n416:\tlearn: 0.3136665\ttotal: 573ms\tremaining: 801ms\n417:\tlearn: 0.3134969\ttotal: 574ms\tremaining: 799ms\n418:\tlearn: 0.3132821\ttotal: 575ms\tremaining: 798ms\n419:\tlearn: 0.3131396\ttotal: 577ms\tremaining: 796ms\n420:\tlearn: 0.3129509\ttotal: 578ms\tremaining: 795ms\n421:\tlearn: 0.3128049\ttotal: 579ms\tremaining: 793ms\n422:\tlearn: 0.3126810\ttotal: 580ms\tremaining: 792ms\n423:\tlearn: 0.3125379\ttotal: 582ms\tremaining: 790ms\n424:\tlearn: 0.3124673\ttotal: 583ms\tremaining: 789ms\n425:\tlearn: 0.3123075\ttotal: 584ms\tremaining: 787ms\n426:\tlearn: 0.3121999\ttotal: 585ms\tremaining: 786ms\n427:\tlearn: 0.3120471\ttotal: 587ms\tremaining: 784ms\n428:\tlearn: 0.3118661\ttotal: 588ms\tremaining: 783ms\n429:\tlearn: 0.3116159\ttotal: 589ms\tremaining: 781ms\n430:\tlearn: 0.3114321\ttotal: 591ms\tremaining: 780ms\n431:\tlearn: 0.3112992\ttotal: 592ms\tremaining: 778ms\n432:\tlearn: 0.3111575\ttotal: 593ms\tremaining: 777ms\n433:\tlearn: 0.3109582\ttotal: 595ms\tremaining: 776ms\n434:\tlearn: 0.3107156\ttotal: 596ms\tremaining: 774ms\n435:\tlearn: 0.3104343\ttotal: 598ms\tremaining: 773ms\n436:\tlearn: 0.3102203\ttotal: 599ms\tremaining: 772ms\n437:\tlearn: 0.3100993\ttotal: 600ms\tremaining: 770ms\n438:\tlearn: 0.3100899\ttotal: 601ms\tremaining: 768ms\n439:\tlearn: 0.3098086\ttotal: 603ms\tremaining: 767ms\n440:\tlearn: 0.3095925\ttotal: 604ms\tremaining: 765ms\n441:\tlearn: 0.3093341\ttotal: 605ms\tremaining: 764ms\n442:\tlearn: 0.3091640\ttotal: 606ms\tremaining: 762ms\n443:\tlearn: 0.3089960\ttotal: 608ms\tremaining: 761ms\n444:\tlearn: 0.3089066\ttotal: 609ms\tremaining: 759ms\n445:\tlearn: 0.3087554\ttotal: 610ms\tremaining: 758ms\n446:\tlearn: 0.3086161\ttotal: 612ms\tremaining: 757ms\n447:\tlearn: 0.3083538\ttotal: 613ms\tremaining: 755ms\n448:\tlearn: 0.3082217\ttotal: 614ms\tremaining: 754ms\n449:\tlearn: 0.3080326\ttotal: 615ms\tremaining: 752ms\n450:\tlearn: 0.3080118\ttotal: 616ms\tremaining: 750ms\n451:\tlearn: 0.3077435\ttotal: 618ms\tremaining: 749ms\n452:\tlearn: 0.3075747\ttotal: 619ms\tremaining: 747ms\n453:\tlearn: 0.3073330\ttotal: 620ms\tremaining: 746ms\n454:\tlearn: 0.3071039\ttotal: 622ms\tremaining: 745ms\n455:\tlearn: 0.3069636\ttotal: 623ms\tremaining: 743ms\n456:\tlearn: 0.3067937\ttotal: 624ms\tremaining: 742ms\n457:\tlearn: 0.3066205\ttotal: 626ms\tremaining: 741ms\n458:\tlearn: 0.3064745\ttotal: 628ms\tremaining: 740ms\n459:\tlearn: 0.3061776\ttotal: 629ms\tremaining: 739ms\n460:\tlearn: 0.3059923\ttotal: 630ms\tremaining: 737ms\n461:\tlearn: 0.3058502\ttotal: 632ms\tremaining: 736ms\n462:\tlearn: 0.3056956\ttotal: 633ms\tremaining: 735ms\n463:\tlearn: 0.3055300\ttotal: 635ms\tremaining: 733ms\n464:\tlearn: 0.3053668\ttotal: 636ms\tremaining: 732ms\n465:\tlearn: 0.3052509\ttotal: 637ms\tremaining: 730ms\n466:\tlearn: 0.3051311\ttotal: 639ms\tremaining: 729ms\n467:\tlearn: 0.3049717\ttotal: 640ms\tremaining: 727ms\n468:\tlearn: 0.3046705\ttotal: 641ms\tremaining: 726ms\n469:\tlearn: 0.3044311\ttotal: 643ms\tremaining: 725ms\n470:\tlearn: 0.3042926\ttotal: 644ms\tremaining: 723ms\n471:\tlearn: 0.3040725\ttotal: 645ms\tremaining: 722ms\n472:\tlearn: 0.3038213\ttotal: 647ms\tremaining: 720ms\n473:\tlearn: 0.3036048\ttotal: 648ms\tremaining: 719ms\n474:\tlearn: 0.3034112\ttotal: 649ms\tremaining: 718ms\n475:\tlearn: 0.3032099\ttotal: 651ms\tremaining: 716ms\n476:\tlearn: 0.3030166\ttotal: 652ms\tremaining: 715ms\n477:\tlearn: 0.3028528\ttotal: 653ms\tremaining: 713ms\n478:\tlearn: 0.3026546\ttotal: 654ms\tremaining: 712ms\n479:\tlearn: 0.3025205\ttotal: 656ms\tremaining: 710ms\n480:\tlearn: 0.3023115\ttotal: 657ms\tremaining: 709ms\n481:\tlearn: 0.3020713\ttotal: 658ms\tremaining: 707ms\n482:\tlearn: 0.3019294\ttotal: 659ms\tremaining: 706ms\n483:\tlearn: 0.3017173\ttotal: 661ms\tremaining: 704ms\n484:\tlearn: 0.3015662\ttotal: 662ms\tremaining: 703ms\n485:\tlearn: 0.3014400\ttotal: 663ms\tremaining: 702ms\n486:\tlearn: 0.3011866\ttotal: 665ms\tremaining: 700ms\n487:\tlearn: 0.3010180\ttotal: 666ms\tremaining: 699ms\n488:\tlearn: 0.3008270\ttotal: 667ms\tremaining: 697ms\n489:\tlearn: 0.3006188\ttotal: 668ms\tremaining: 696ms\n490:\tlearn: 0.3004381\ttotal: 670ms\tremaining: 694ms\n491:\tlearn: 0.3002576\ttotal: 671ms\tremaining: 693ms\n492:\tlearn: 0.3001035\ttotal: 672ms\tremaining: 691ms\n493:\tlearn: 0.2999499\ttotal: 674ms\tremaining: 690ms\n494:\tlearn: 0.2998038\ttotal: 675ms\tremaining: 689ms\n495:\tlearn: 0.2996552\ttotal: 677ms\tremaining: 687ms\n496:\tlearn: 0.2995609\ttotal: 678ms\tremaining: 686ms\n497:\tlearn: 0.2993399\ttotal: 679ms\tremaining: 685ms\n498:\tlearn: 0.2991290\ttotal: 681ms\tremaining: 683ms\n499:\tlearn: 0.2989929\ttotal: 682ms\tremaining: 682ms\n500:\tlearn: 0.2988133\ttotal: 683ms\tremaining: 681ms\n501:\tlearn: 0.2988077\ttotal: 684ms\tremaining: 679ms\n502:\tlearn: 0.2986237\ttotal: 686ms\tremaining: 678ms\n503:\tlearn: 0.2985032\ttotal: 687ms\tremaining: 676ms\n504:\tlearn: 0.2983225\ttotal: 688ms\tremaining: 675ms\n505:\tlearn: 0.2981938\ttotal: 690ms\tremaining: 673ms\n506:\tlearn: 0.2980074\ttotal: 691ms\tremaining: 672ms\n507:\tlearn: 0.2978381\ttotal: 693ms\tremaining: 671ms\n508:\tlearn: 0.2975839\ttotal: 694ms\tremaining: 669ms\n509:\tlearn: 0.2974784\ttotal: 695ms\tremaining: 668ms\n510:\tlearn: 0.2972939\ttotal: 696ms\tremaining: 666ms\n511:\tlearn: 0.2971314\ttotal: 698ms\tremaining: 665ms\n512:\tlearn: 0.2968813\ttotal: 699ms\tremaining: 664ms\n513:\tlearn: 0.2967325\ttotal: 700ms\tremaining: 662ms\n514:\tlearn: 0.2965454\ttotal: 702ms\tremaining: 661ms\n515:\tlearn: 0.2962539\ttotal: 703ms\tremaining: 659ms\n516:\tlearn: 0.2960436\ttotal: 704ms\tremaining: 658ms\n517:\tlearn: 0.2959016\ttotal: 705ms\tremaining: 656ms\n518:\tlearn: 0.2957332\ttotal: 707ms\tremaining: 655ms\n519:\tlearn: 0.2955595\ttotal: 708ms\tremaining: 653ms\n520:\tlearn: 0.2953197\ttotal: 709ms\tremaining: 652ms\n521:\tlearn: 0.2951845\ttotal: 710ms\tremaining: 651ms\n522:\tlearn: 0.2950628\ttotal: 712ms\tremaining: 649ms\n523:\tlearn: 0.2949075\ttotal: 713ms\tremaining: 648ms\n524:\tlearn: 0.2947625\ttotal: 714ms\tremaining: 646ms\n525:\tlearn: 0.2946216\ttotal: 716ms\tremaining: 645ms\n526:\tlearn: 0.2945147\ttotal: 717ms\tremaining: 644ms\n527:\tlearn: 0.2942964\ttotal: 718ms\tremaining: 642ms\n528:\tlearn: 0.2941423\ttotal: 720ms\tremaining: 641ms\n529:\tlearn: 0.2939525\ttotal: 721ms\tremaining: 639ms\n530:\tlearn: 0.2937412\ttotal: 722ms\tremaining: 638ms\n531:\tlearn: 0.2935794\ttotal: 724ms\tremaining: 636ms\n532:\tlearn: 0.2932461\ttotal: 725ms\tremaining: 635ms\n533:\tlearn: 0.2930485\ttotal: 726ms\tremaining: 634ms\n534:\tlearn: 0.2929229\ttotal: 727ms\tremaining: 632ms\n535:\tlearn: 0.2927446\ttotal: 729ms\tremaining: 631ms\n536:\tlearn: 0.2925726\ttotal: 730ms\tremaining: 629ms\n537:\tlearn: 0.2923360\ttotal: 731ms\tremaining: 628ms\n538:\tlearn: 0.2922029\ttotal: 732ms\tremaining: 626ms\n539:\tlearn: 0.2920647\ttotal: 734ms\tremaining: 625ms\n540:\tlearn: 0.2919557\ttotal: 735ms\tremaining: 623ms\n541:\tlearn: 0.2917632\ttotal: 736ms\tremaining: 622ms\n542:\tlearn: 0.2915359\ttotal: 738ms\tremaining: 621ms\n543:\tlearn: 0.2913527\ttotal: 739ms\tremaining: 619ms\n544:\tlearn: 0.2911830\ttotal: 740ms\tremaining: 618ms\n545:\tlearn: 0.2909596\ttotal: 742ms\tremaining: 617ms\n546:\tlearn: 0.2908098\ttotal: 743ms\tremaining: 615ms\n547:\tlearn: 0.2906936\ttotal: 744ms\tremaining: 614ms\n548:\tlearn: 0.2905236\ttotal: 746ms\tremaining: 613ms\n549:\tlearn: 0.2903478\ttotal: 748ms\tremaining: 612ms\n550:\tlearn: 0.2902190\ttotal: 749ms\tremaining: 611ms\n551:\tlearn: 0.2900984\ttotal: 750ms\tremaining: 609ms\n552:\tlearn: 0.2898902\ttotal: 752ms\tremaining: 608ms\n553:\tlearn: 0.2897362\ttotal: 753ms\tremaining: 606ms\n554:\tlearn: 0.2895528\ttotal: 754ms\tremaining: 605ms\n555:\tlearn: 0.2893705\ttotal: 756ms\tremaining: 603ms\n556:\tlearn: 0.2891897\ttotal: 757ms\tremaining: 602ms\n557:\tlearn: 0.2890448\ttotal: 758ms\tremaining: 601ms\n558:\tlearn: 0.2889301\ttotal: 759ms\tremaining: 599ms\n559:\tlearn: 0.2887452\ttotal: 761ms\tremaining: 598ms\n560:\tlearn: 0.2885873\ttotal: 762ms\tremaining: 596ms\n561:\tlearn: 0.2884275\ttotal: 763ms\tremaining: 595ms\n562:\tlearn: 0.2881778\ttotal: 764ms\tremaining: 593ms\n563:\tlearn: 0.2880175\ttotal: 766ms\tremaining: 592ms\n564:\tlearn: 0.2878475\ttotal: 767ms\tremaining: 591ms\n565:\tlearn: 0.2877268\ttotal: 769ms\tremaining: 589ms\n566:\tlearn: 0.2875861\ttotal: 770ms\tremaining: 588ms\n567:\tlearn: 0.2874348\ttotal: 771ms\tremaining: 586ms\n568:\tlearn: 0.2872822\ttotal: 772ms\tremaining: 585ms\n569:\tlearn: 0.2870548\ttotal: 774ms\tremaining: 584ms\n570:\tlearn: 0.2867685\ttotal: 775ms\tremaining: 582ms\n571:\tlearn: 0.2866067\ttotal: 776ms\tremaining: 581ms\n572:\tlearn: 0.2864157\ttotal: 777ms\tremaining: 579ms\n573:\tlearn: 0.2864108\ttotal: 778ms\tremaining: 578ms\n574:\tlearn: 0.2862589\ttotal: 780ms\tremaining: 576ms\n575:\tlearn: 0.2861226\ttotal: 781ms\tremaining: 575ms\n576:\tlearn: 0.2858864\ttotal: 782ms\tremaining: 573ms\n577:\tlearn: 0.2857049\ttotal: 784ms\tremaining: 572ms\n578:\tlearn: 0.2854759\ttotal: 785ms\tremaining: 571ms\n579:\tlearn: 0.2854682\ttotal: 786ms\tremaining: 569ms\n580:\tlearn: 0.2852976\ttotal: 787ms\tremaining: 568ms\n581:\tlearn: 0.2851420\ttotal: 789ms\tremaining: 566ms\n582:\tlearn: 0.2850045\ttotal: 790ms\tremaining: 565ms\n583:\tlearn: 0.2847854\ttotal: 791ms\tremaining: 564ms\n584:\tlearn: 0.2844940\ttotal: 793ms\tremaining: 562ms\n585:\tlearn: 0.2842732\ttotal: 794ms\tremaining: 561ms\n586:\tlearn: 0.2841619\ttotal: 795ms\tremaining: 559ms\n587:\tlearn: 0.2839890\ttotal: 796ms\tremaining: 558ms\n588:\tlearn: 0.2838209\ttotal: 798ms\tremaining: 557ms\n589:\tlearn: 0.2836811\ttotal: 799ms\tremaining: 555ms\n590:\tlearn: 0.2835101\ttotal: 800ms\tremaining: 554ms\n591:\tlearn: 0.2833723\ttotal: 802ms\tremaining: 552ms\n592:\tlearn: 0.2831506\ttotal: 803ms\tremaining: 551ms\n593:\tlearn: 0.2829968\ttotal: 804ms\tremaining: 550ms\n594:\tlearn: 0.2828125\ttotal: 805ms\tremaining: 548ms\n595:\tlearn: 0.2826944\ttotal: 807ms\tremaining: 547ms\n596:\tlearn: 0.2824992\ttotal: 808ms\tremaining: 545ms\n597:\tlearn: 0.2822401\ttotal: 809ms\tremaining: 544ms\n598:\tlearn: 0.2819873\ttotal: 811ms\tremaining: 543ms\n599:\tlearn: 0.2817665\ttotal: 812ms\tremaining: 541ms\n600:\tlearn: 0.2815971\ttotal: 813ms\tremaining: 540ms\n601:\tlearn: 0.2814480\ttotal: 814ms\tremaining: 538ms\n602:\tlearn: 0.2811856\ttotal: 816ms\tremaining: 537ms\n603:\tlearn: 0.2810008\ttotal: 817ms\tremaining: 536ms\n604:\tlearn: 0.2807857\ttotal: 818ms\tremaining: 534ms\n605:\tlearn: 0.2806468\ttotal: 820ms\tremaining: 533ms\n606:\tlearn: 0.2805099\ttotal: 821ms\tremaining: 531ms\n607:\tlearn: 0.2803619\ttotal: 822ms\tremaining: 530ms\n608:\tlearn: 0.2801597\ttotal: 823ms\tremaining: 529ms\n609:\tlearn: 0.2800139\ttotal: 825ms\tremaining: 527ms\n610:\tlearn: 0.2798046\ttotal: 826ms\tremaining: 526ms\n611:\tlearn: 0.2796424\ttotal: 827ms\tremaining: 524ms\n612:\tlearn: 0.2794853\ttotal: 828ms\tremaining: 523ms\n613:\tlearn: 0.2792925\ttotal: 830ms\tremaining: 521ms\n614:\tlearn: 0.2791354\ttotal: 831ms\tremaining: 520ms\n615:\tlearn: 0.2789958\ttotal: 832ms\tremaining: 519ms\n616:\tlearn: 0.2788063\ttotal: 833ms\tremaining: 517ms\n617:\tlearn: 0.2786400\ttotal: 834ms\tremaining: 516ms\n618:\tlearn: 0.2785140\ttotal: 836ms\tremaining: 514ms\n619:\tlearn: 0.2783569\ttotal: 837ms\tremaining: 513ms\n620:\tlearn: 0.2781239\ttotal: 838ms\tremaining: 512ms\n621:\tlearn: 0.2781215\ttotal: 839ms\tremaining: 510ms\n622:\tlearn: 0.2779133\ttotal: 840ms\tremaining: 509ms\n623:\tlearn: 0.2777607\ttotal: 842ms\tremaining: 507ms\n624:\tlearn: 0.2775664\ttotal: 843ms\tremaining: 506ms\n625:\tlearn: 0.2774211\ttotal: 844ms\tremaining: 504ms\n626:\tlearn: 0.2772632\ttotal: 846ms\tremaining: 503ms\n627:\tlearn: 0.2770905\ttotal: 847ms\tremaining: 502ms\n628:\tlearn: 0.2769051\ttotal: 848ms\tremaining: 500ms\n629:\tlearn: 0.2767749\ttotal: 849ms\tremaining: 499ms\n630:\tlearn: 0.2765253\ttotal: 851ms\tremaining: 498ms\n631:\tlearn: 0.2763193\ttotal: 852ms\tremaining: 496ms\n632:\tlearn: 0.2760831\ttotal: 854ms\tremaining: 495ms\n633:\tlearn: 0.2759096\ttotal: 855ms\tremaining: 494ms\n634:\tlearn: 0.2757282\ttotal: 857ms\tremaining: 492ms\n635:\tlearn: 0.2755605\ttotal: 858ms\tremaining: 491ms\n636:\tlearn: 0.2754263\ttotal: 859ms\tremaining: 490ms\n637:\tlearn: 0.2752885\ttotal: 860ms\tremaining: 488ms\n638:\tlearn: 0.2751041\ttotal: 862ms\tremaining: 487ms\n639:\tlearn: 0.2749064\ttotal: 863ms\tremaining: 486ms\n640:\tlearn: 0.2746700\ttotal: 865ms\tremaining: 484ms\n641:\tlearn: 0.2745215\ttotal: 866ms\tremaining: 483ms\n642:\tlearn: 0.2744073\ttotal: 868ms\tremaining: 482ms\n643:\tlearn: 0.2742254\ttotal: 869ms\tremaining: 480ms\n644:\tlearn: 0.2740165\ttotal: 870ms\tremaining: 479ms\n645:\tlearn: 0.2739000\ttotal: 872ms\tremaining: 478ms\n646:\tlearn: 0.2737322\ttotal: 873ms\tremaining: 476ms\n647:\tlearn: 0.2735602\ttotal: 874ms\tremaining: 475ms\n648:\tlearn: 0.2734075\ttotal: 875ms\tremaining: 473ms\n649:\tlearn: 0.2732657\ttotal: 877ms\tremaining: 472ms\n650:\tlearn: 0.2731144\ttotal: 878ms\tremaining: 471ms\n651:\tlearn: 0.2729493\ttotal: 879ms\tremaining: 469ms\n652:\tlearn: 0.2727507\ttotal: 881ms\tremaining: 468ms\n653:\tlearn: 0.2725912\ttotal: 882ms\tremaining: 467ms\n654:\tlearn: 0.2724875\ttotal: 883ms\tremaining: 465ms\n655:\tlearn: 0.2723055\ttotal: 885ms\tremaining: 464ms\n656:\tlearn: 0.2721795\ttotal: 886ms\tremaining: 462ms\n657:\tlearn: 0.2720429\ttotal: 887ms\tremaining: 461ms\n658:\tlearn: 0.2718504\ttotal: 888ms\tremaining: 460ms\n659:\tlearn: 0.2717093\ttotal: 890ms\tremaining: 458ms\n660:\tlearn: 0.2715647\ttotal: 891ms\tremaining: 457ms\n661:\tlearn: 0.2714193\ttotal: 892ms\tremaining: 456ms\n662:\tlearn: 0.2712147\ttotal: 893ms\tremaining: 454ms\n663:\tlearn: 0.2710933\ttotal: 895ms\tremaining: 453ms\n664:\tlearn: 0.2708801\ttotal: 896ms\tremaining: 451ms\n665:\tlearn: 0.2707377\ttotal: 897ms\tremaining: 450ms\n666:\tlearn: 0.2705821\ttotal: 898ms\tremaining: 449ms\n667:\tlearn: 0.2704057\ttotal: 900ms\tremaining: 447ms\n668:\tlearn: 0.2702309\ttotal: 901ms\tremaining: 446ms\n669:\tlearn: 0.2700340\ttotal: 902ms\tremaining: 444ms\n670:\tlearn: 0.2698945\ttotal: 904ms\tremaining: 443ms\n671:\tlearn: 0.2697308\ttotal: 905ms\tremaining: 442ms\n672:\tlearn: 0.2695605\ttotal: 906ms\tremaining: 440ms\n673:\tlearn: 0.2693502\ttotal: 907ms\tremaining: 439ms\n674:\tlearn: 0.2692143\ttotal: 909ms\tremaining: 438ms\n675:\tlearn: 0.2690329\ttotal: 910ms\tremaining: 436ms\n676:\tlearn: 0.2688854\ttotal: 911ms\tremaining: 435ms\n677:\tlearn: 0.2687502\ttotal: 913ms\tremaining: 433ms\n678:\tlearn: 0.2686358\ttotal: 914ms\tremaining: 432ms\n679:\tlearn: 0.2685010\ttotal: 915ms\tremaining: 431ms\n680:\tlearn: 0.2683418\ttotal: 916ms\tremaining: 429ms\n681:\tlearn: 0.2682146\ttotal: 918ms\tremaining: 428ms\n682:\tlearn: 0.2680718\ttotal: 919ms\tremaining: 426ms\n683:\tlearn: 0.2679366\ttotal: 920ms\tremaining: 425ms\n684:\tlearn: 0.2677370\ttotal: 921ms\tremaining: 424ms\n685:\tlearn: 0.2675566\ttotal: 923ms\tremaining: 422ms\n686:\tlearn: 0.2673894\ttotal: 924ms\tremaining: 421ms\n687:\tlearn: 0.2672498\ttotal: 925ms\tremaining: 420ms\n688:\tlearn: 0.2671363\ttotal: 926ms\tremaining: 418ms\n689:\tlearn: 0.2670043\ttotal: 928ms\tremaining: 417ms\n690:\tlearn: 0.2668368\ttotal: 929ms\tremaining: 415ms\n691:\tlearn: 0.2666707\ttotal: 930ms\tremaining: 414ms\n692:\tlearn: 0.2665714\ttotal: 932ms\tremaining: 413ms\n693:\tlearn: 0.2664364\ttotal: 933ms\tremaining: 411ms\n694:\tlearn: 0.2662776\ttotal: 935ms\tremaining: 410ms\n695:\tlearn: 0.2661164\ttotal: 936ms\tremaining: 409ms\n696:\tlearn: 0.2659506\ttotal: 937ms\tremaining: 408ms\n697:\tlearn: 0.2658006\ttotal: 939ms\tremaining: 406ms\n698:\tlearn: 0.2656033\ttotal: 940ms\tremaining: 405ms\n699:\tlearn: 0.2654248\ttotal: 942ms\tremaining: 404ms\n700:\tlearn: 0.2652839\ttotal: 943ms\tremaining: 402ms\n701:\tlearn: 0.2651159\ttotal: 944ms\tremaining: 401ms\n702:\tlearn: 0.2649314\ttotal: 946ms\tremaining: 399ms\n703:\tlearn: 0.2647537\ttotal: 947ms\tremaining: 398ms\n704:\tlearn: 0.2646088\ttotal: 948ms\tremaining: 397ms\n705:\tlearn: 0.2644970\ttotal: 949ms\tremaining: 395ms\n706:\tlearn: 0.2643188\ttotal: 951ms\tremaining: 394ms\n707:\tlearn: 0.2641252\ttotal: 952ms\tremaining: 393ms\n708:\tlearn: 0.2640359\ttotal: 953ms\tremaining: 391ms\n709:\tlearn: 0.2639199\ttotal: 954ms\tremaining: 390ms\n710:\tlearn: 0.2637750\ttotal: 956ms\tremaining: 388ms\n711:\tlearn: 0.2635847\ttotal: 957ms\tremaining: 387ms\n712:\tlearn: 0.2633960\ttotal: 958ms\tremaining: 386ms\n713:\tlearn: 0.2632343\ttotal: 959ms\tremaining: 384ms\n714:\tlearn: 0.2630984\ttotal: 961ms\tremaining: 383ms\n715:\tlearn: 0.2629790\ttotal: 962ms\tremaining: 382ms\n716:\tlearn: 0.2628442\ttotal: 963ms\tremaining: 380ms\n717:\tlearn: 0.2626876\ttotal: 965ms\tremaining: 379ms\n718:\tlearn: 0.2624853\ttotal: 966ms\tremaining: 377ms\n719:\tlearn: 0.2623398\ttotal: 967ms\tremaining: 376ms\n720:\tlearn: 0.2622274\ttotal: 968ms\tremaining: 375ms\n721:\tlearn: 0.2619933\ttotal: 970ms\tremaining: 373ms\n722:\tlearn: 0.2618562\ttotal: 971ms\tremaining: 372ms\n723:\tlearn: 0.2616724\ttotal: 972ms\tremaining: 371ms\n724:\tlearn: 0.2615328\ttotal: 974ms\tremaining: 369ms\n725:\tlearn: 0.2613417\ttotal: 975ms\tremaining: 368ms\n726:\tlearn: 0.2612160\ttotal: 977ms\tremaining: 367ms\n727:\tlearn: 0.2610727\ttotal: 978ms\tremaining: 365ms\n728:\tlearn: 0.2609397\ttotal: 979ms\tremaining: 364ms\n729:\tlearn: 0.2608150\ttotal: 980ms\tremaining: 363ms\n730:\tlearn: 0.2606940\ttotal: 982ms\tremaining: 361ms\n731:\tlearn: 0.2605297\ttotal: 983ms\tremaining: 360ms\n732:\tlearn: 0.2603439\ttotal: 985ms\tremaining: 359ms\n733:\tlearn: 0.2602117\ttotal: 986ms\tremaining: 357ms\n734:\tlearn: 0.2600208\ttotal: 987ms\tremaining: 356ms\n735:\tlearn: 0.2599040\ttotal: 989ms\tremaining: 355ms\n736:\tlearn: 0.2597566\ttotal: 990ms\tremaining: 353ms\n737:\tlearn: 0.2596297\ttotal: 991ms\tremaining: 352ms\n738:\tlearn: 0.2595039\ttotal: 993ms\tremaining: 351ms\n739:\tlearn: 0.2593529\ttotal: 994ms\tremaining: 349ms\n740:\tlearn: 0.2591722\ttotal: 995ms\tremaining: 348ms\n741:\tlearn: 0.2589801\ttotal: 997ms\tremaining: 347ms\n742:\tlearn: 0.2587950\ttotal: 998ms\tremaining: 345ms\n743:\tlearn: 0.2586596\ttotal: 999ms\tremaining: 344ms\n744:\tlearn: 0.2585278\ttotal: 1s\tremaining: 342ms\n745:\tlearn: 0.2584181\ttotal: 1s\tremaining: 341ms\n746:\tlearn: 0.2582351\ttotal: 1s\tremaining: 340ms\n747:\tlearn: 0.2580539\ttotal: 1s\tremaining: 338ms\n748:\tlearn: 0.2578629\ttotal: 1s\tremaining: 337ms\n749:\tlearn: 0.2576646\ttotal: 1.01s\tremaining: 336ms\n750:\tlearn: 0.2575551\ttotal: 1.01s\tremaining: 334ms\n751:\tlearn: 0.2573615\ttotal: 1.01s\tremaining: 333ms\n752:\tlearn: 0.2571761\ttotal: 1.01s\tremaining: 332ms\n753:\tlearn: 0.2569959\ttotal: 1.01s\tremaining: 330ms\n754:\tlearn: 0.2568631\ttotal: 1.01s\tremaining: 329ms\n755:\tlearn: 0.2566885\ttotal: 1.01s\tremaining: 327ms\n756:\tlearn: 0.2565213\ttotal: 1.01s\tremaining: 326ms\n757:\tlearn: 0.2563737\ttotal: 1.02s\tremaining: 325ms\n758:\tlearn: 0.2561886\ttotal: 1.02s\tremaining: 324ms\n759:\tlearn: 0.2560190\ttotal: 1.02s\tremaining: 322ms\n760:\tlearn: 0.2558421\ttotal: 1.02s\tremaining: 321ms\n761:\tlearn: 0.2557115\ttotal: 1.02s\tremaining: 320ms\n762:\tlearn: 0.2555401\ttotal: 1.02s\tremaining: 318ms\n763:\tlearn: 0.2553786\ttotal: 1.03s\tremaining: 317ms\n764:\tlearn: 0.2551915\ttotal: 1.03s\tremaining: 316ms\n765:\tlearn: 0.2550035\ttotal: 1.03s\tremaining: 314ms\n766:\tlearn: 0.2548237\ttotal: 1.03s\tremaining: 313ms\n767:\tlearn: 0.2547038\ttotal: 1.03s\tremaining: 312ms\n768:\tlearn: 0.2545564\ttotal: 1.03s\tremaining: 311ms\n769:\tlearn: 0.2544045\ttotal: 1.03s\tremaining: 309ms\n770:\tlearn: 0.2542303\ttotal: 1.04s\tremaining: 308ms\n771:\tlearn: 0.2540661\ttotal: 1.04s\tremaining: 306ms\n772:\tlearn: 0.2539300\ttotal: 1.04s\tremaining: 305ms\n773:\tlearn: 0.2538359\ttotal: 1.04s\tremaining: 304ms\n774:\tlearn: 0.2536568\ttotal: 1.04s\tremaining: 302ms\n775:\tlearn: 0.2534452\ttotal: 1.04s\tremaining: 301ms\n776:\tlearn: 0.2533192\ttotal: 1.04s\tremaining: 300ms\n777:\tlearn: 0.2531626\ttotal: 1.04s\tremaining: 298ms\n778:\tlearn: 0.2529962\ttotal: 1.05s\tremaining: 297ms\n779:\tlearn: 0.2528201\ttotal: 1.05s\tremaining: 296ms\n780:\tlearn: 0.2526695\ttotal: 1.05s\tremaining: 294ms\n781:\tlearn: 0.2525457\ttotal: 1.05s\tremaining: 293ms\n782:\tlearn: 0.2523864\ttotal: 1.05s\tremaining: 292ms\n783:\tlearn: 0.2521857\ttotal: 1.05s\tremaining: 290ms\n784:\tlearn: 0.2520758\ttotal: 1.05s\tremaining: 289ms\n785:\tlearn: 0.2519207\ttotal: 1.06s\tremaining: 288ms\n786:\tlearn: 0.2517888\ttotal: 1.06s\tremaining: 286ms\n787:\tlearn: 0.2516184\ttotal: 1.06s\tremaining: 285ms\n788:\tlearn: 0.2514765\ttotal: 1.06s\tremaining: 284ms\n789:\tlearn: 0.2512973\ttotal: 1.06s\tremaining: 282ms\n790:\tlearn: 0.2511322\ttotal: 1.06s\tremaining: 281ms\n791:\tlearn: 0.2510109\ttotal: 1.06s\tremaining: 280ms\n792:\tlearn: 0.2508819\ttotal: 1.07s\tremaining: 278ms\n793:\tlearn: 0.2507410\ttotal: 1.07s\tremaining: 277ms\n794:\tlearn: 0.2506057\ttotal: 1.07s\tremaining: 276ms\n795:\tlearn: 0.2504359\ttotal: 1.07s\tremaining: 274ms\n796:\tlearn: 0.2502848\ttotal: 1.07s\tremaining: 273ms\n797:\tlearn: 0.2501274\ttotal: 1.07s\tremaining: 272ms\n798:\tlearn: 0.2499878\ttotal: 1.07s\tremaining: 270ms\n799:\tlearn: 0.2498258\ttotal: 1.07s\tremaining: 269ms\n800:\tlearn: 0.2496946\ttotal: 1.08s\tremaining: 268ms\n801:\tlearn: 0.2495761\ttotal: 1.08s\tremaining: 266ms\n802:\tlearn: 0.2494644\ttotal: 1.08s\tremaining: 265ms\n803:\tlearn: 0.2493376\ttotal: 1.08s\tremaining: 264ms\n804:\tlearn: 0.2491850\ttotal: 1.08s\tremaining: 262ms\n805:\tlearn: 0.2490135\ttotal: 1.08s\tremaining: 261ms\n806:\tlearn: 0.2488999\ttotal: 1.08s\tremaining: 259ms\n807:\tlearn: 0.2487890\ttotal: 1.09s\tremaining: 258ms\n808:\tlearn: 0.2486602\ttotal: 1.09s\tremaining: 257ms\n809:\tlearn: 0.2485331\ttotal: 1.09s\tremaining: 255ms\n810:\tlearn: 0.2483890\ttotal: 1.09s\tremaining: 254ms\n811:\tlearn: 0.2482359\ttotal: 1.09s\tremaining: 253ms\n812:\tlearn: 0.2481331\ttotal: 1.09s\tremaining: 251ms\n813:\tlearn: 0.2480208\ttotal: 1.09s\tremaining: 250ms\n814:\tlearn: 0.2478257\ttotal: 1.09s\tremaining: 249ms\n815:\tlearn: 0.2477161\ttotal: 1.1s\tremaining: 247ms\n816:\tlearn: 0.2476005\ttotal: 1.1s\tremaining: 246ms\n817:\tlearn: 0.2474556\ttotal: 1.1s\tremaining: 245ms\n818:\tlearn: 0.2473117\ttotal: 1.1s\tremaining: 243ms\n819:\tlearn: 0.2471438\ttotal: 1.1s\tremaining: 242ms\n820:\tlearn: 0.2470110\ttotal: 1.1s\tremaining: 241ms\n821:\tlearn: 0.2468662\ttotal: 1.1s\tremaining: 239ms\n822:\tlearn: 0.2466892\ttotal: 1.1s\tremaining: 238ms\n823:\tlearn: 0.2465174\ttotal: 1.11s\tremaining: 236ms\n824:\tlearn: 0.2463537\ttotal: 1.11s\tremaining: 235ms\n825:\tlearn: 0.2462154\ttotal: 1.11s\tremaining: 234ms\n826:\tlearn: 0.2460792\ttotal: 1.11s\tremaining: 232ms\n827:\tlearn: 0.2459665\ttotal: 1.11s\tremaining: 231ms\n828:\tlearn: 0.2458265\ttotal: 1.11s\tremaining: 230ms\n829:\tlearn: 0.2456899\ttotal: 1.11s\tremaining: 228ms\n830:\tlearn: 0.2455170\ttotal: 1.11s\tremaining: 227ms\n831:\tlearn: 0.2453429\ttotal: 1.12s\tremaining: 226ms\n832:\tlearn: 0.2452208\ttotal: 1.12s\tremaining: 224ms\n833:\tlearn: 0.2451141\ttotal: 1.12s\tremaining: 223ms\n834:\tlearn: 0.2449364\ttotal: 1.12s\tremaining: 221ms\n835:\tlearn: 0.2447844\ttotal: 1.12s\tremaining: 220ms\n836:\tlearn: 0.2446251\ttotal: 1.12s\tremaining: 219ms\n837:\tlearn: 0.2444965\ttotal: 1.13s\tremaining: 218ms\n838:\tlearn: 0.2443039\ttotal: 1.13s\tremaining: 216ms\n839:\tlearn: 0.2441645\ttotal: 1.13s\tremaining: 215ms\n840:\tlearn: 0.2440399\ttotal: 1.13s\tremaining: 214ms\n841:\tlearn: 0.2438619\ttotal: 1.13s\tremaining: 212ms\n842:\tlearn: 0.2437294\ttotal: 1.13s\tremaining: 211ms\n843:\tlearn: 0.2435935\ttotal: 1.13s\tremaining: 209ms\n844:\tlearn: 0.2434894\ttotal: 1.13s\tremaining: 208ms\n845:\tlearn: 0.2433041\ttotal: 1.14s\tremaining: 207ms\n846:\tlearn: 0.2431869\ttotal: 1.14s\tremaining: 205ms\n847:\tlearn: 0.2430468\ttotal: 1.14s\tremaining: 204ms\n848:\tlearn: 0.2428883\ttotal: 1.14s\tremaining: 203ms\n849:\tlearn: 0.2427056\ttotal: 1.14s\tremaining: 201ms\n850:\tlearn: 0.2425583\ttotal: 1.14s\tremaining: 200ms\n851:\tlearn: 0.2424505\ttotal: 1.14s\tremaining: 199ms\n852:\tlearn: 0.2423473\ttotal: 1.14s\tremaining: 197ms\n853:\tlearn: 0.2421961\ttotal: 1.15s\tremaining: 196ms\n854:\tlearn: 0.2420752\ttotal: 1.15s\tremaining: 195ms\n855:\tlearn: 0.2419252\ttotal: 1.15s\tremaining: 193ms\n856:\tlearn: 0.2417955\ttotal: 1.15s\tremaining: 192ms\n857:\tlearn: 0.2416949\ttotal: 1.15s\tremaining: 191ms\n858:\tlearn: 0.2415842\ttotal: 1.15s\tremaining: 189ms\n859:\tlearn: 0.2414533\ttotal: 1.15s\tremaining: 188ms\n860:\tlearn: 0.2413509\ttotal: 1.15s\tremaining: 186ms\n861:\tlearn: 0.2412500\ttotal: 1.16s\tremaining: 185ms\n862:\tlearn: 0.2411418\ttotal: 1.16s\tremaining: 184ms\n863:\tlearn: 0.2409877\ttotal: 1.16s\tremaining: 182ms\n864:\tlearn: 0.2408537\ttotal: 1.16s\tremaining: 181ms\n865:\tlearn: 0.2407417\ttotal: 1.16s\tremaining: 180ms\n866:\tlearn: 0.2406174\ttotal: 1.16s\tremaining: 178ms\n867:\tlearn: 0.2404251\ttotal: 1.16s\tremaining: 177ms\n868:\tlearn: 0.2402592\ttotal: 1.17s\tremaining: 176ms\n869:\tlearn: 0.2401515\ttotal: 1.17s\tremaining: 174ms\n870:\tlearn: 0.2400274\ttotal: 1.17s\tremaining: 173ms\n871:\tlearn: 0.2398506\ttotal: 1.17s\tremaining: 172ms\n872:\tlearn: 0.2397343\ttotal: 1.17s\tremaining: 170ms\n873:\tlearn: 0.2395966\ttotal: 1.17s\tremaining: 169ms\n874:\tlearn: 0.2394352\ttotal: 1.17s\tremaining: 168ms\n875:\tlearn: 0.2393079\ttotal: 1.17s\tremaining: 166ms\n876:\tlearn: 0.2392096\ttotal: 1.18s\tremaining: 165ms\n877:\tlearn: 0.2390577\ttotal: 1.18s\tremaining: 164ms\n878:\tlearn: 0.2389752\ttotal: 1.18s\tremaining: 162ms\n879:\tlearn: 0.2388773\ttotal: 1.18s\tremaining: 161ms\n880:\tlearn: 0.2387703\ttotal: 1.18s\tremaining: 160ms\n881:\tlearn: 0.2385955\ttotal: 1.18s\tremaining: 158ms\n882:\tlearn: 0.2384377\ttotal: 1.18s\tremaining: 157ms\n883:\tlearn: 0.2383398\ttotal: 1.19s\tremaining: 156ms\n884:\tlearn: 0.2381853\ttotal: 1.19s\tremaining: 154ms\n885:\tlearn: 0.2380371\ttotal: 1.19s\tremaining: 153ms\n886:\tlearn: 0.2379206\ttotal: 1.19s\tremaining: 151ms\n887:\tlearn: 0.2377223\ttotal: 1.19s\tremaining: 150ms\n888:\tlearn: 0.2376358\ttotal: 1.19s\tremaining: 149ms\n889:\tlearn: 0.2374768\ttotal: 1.19s\tremaining: 147ms\n890:\tlearn: 0.2373863\ttotal: 1.19s\tremaining: 146ms\n891:\tlearn: 0.2372932\ttotal: 1.2s\tremaining: 145ms\n892:\tlearn: 0.2371005\ttotal: 1.2s\tremaining: 143ms\n893:\tlearn: 0.2369937\ttotal: 1.2s\tremaining: 142ms\n894:\tlearn: 0.2368395\ttotal: 1.2s\tremaining: 141ms\n895:\tlearn: 0.2367441\ttotal: 1.2s\tremaining: 139ms\n896:\tlearn: 0.2366415\ttotal: 1.2s\tremaining: 138ms\n897:\tlearn: 0.2365279\ttotal: 1.2s\tremaining: 137ms\n898:\tlearn: 0.2363687\ttotal: 1.2s\tremaining: 135ms\n899:\tlearn: 0.2362222\ttotal: 1.21s\tremaining: 134ms\n900:\tlearn: 0.2361391\ttotal: 1.21s\tremaining: 133ms\n901:\tlearn: 0.2360159\ttotal: 1.21s\tremaining: 131ms\n902:\tlearn: 0.2359040\ttotal: 1.21s\tremaining: 130ms\n903:\tlearn: 0.2357487\ttotal: 1.21s\tremaining: 129ms\n904:\tlearn: 0.2356280\ttotal: 1.21s\tremaining: 127ms\n905:\tlearn: 0.2354862\ttotal: 1.21s\tremaining: 126ms\n906:\tlearn: 0.2352983\ttotal: 1.21s\tremaining: 125ms\n907:\tlearn: 0.2352044\ttotal: 1.22s\tremaining: 123ms\n908:\tlearn: 0.2350961\ttotal: 1.22s\tremaining: 122ms\n909:\tlearn: 0.2349078\ttotal: 1.22s\tremaining: 121ms\n910:\tlearn: 0.2348008\ttotal: 1.22s\tremaining: 119ms\n911:\tlearn: 0.2346816\ttotal: 1.22s\tremaining: 118ms\n912:\tlearn: 0.2345767\ttotal: 1.22s\tremaining: 117ms\n913:\tlearn: 0.2344968\ttotal: 1.22s\tremaining: 115ms\n914:\tlearn: 0.2344064\ttotal: 1.23s\tremaining: 114ms\n915:\tlearn: 0.2342559\ttotal: 1.23s\tremaining: 112ms\n916:\tlearn: 0.2340730\ttotal: 1.23s\tremaining: 111ms\n917:\tlearn: 0.2339523\ttotal: 1.23s\tremaining: 110ms\n918:\tlearn: 0.2337844\ttotal: 1.23s\tremaining: 108ms\n919:\tlearn: 0.2336549\ttotal: 1.23s\tremaining: 107ms\n920:\tlearn: 0.2335465\ttotal: 1.23s\tremaining: 106ms\n921:\tlearn: 0.2333997\ttotal: 1.23s\tremaining: 104ms\n922:\tlearn: 0.2332310\ttotal: 1.24s\tremaining: 103ms\n923:\tlearn: 0.2330662\ttotal: 1.24s\tremaining: 102ms\n924:\tlearn: 0.2329749\ttotal: 1.24s\tremaining: 100ms\n925:\tlearn: 0.2328288\ttotal: 1.24s\tremaining: 99.1ms\n926:\tlearn: 0.2327016\ttotal: 1.24s\tremaining: 97.7ms\n927:\tlearn: 0.2325844\ttotal: 1.24s\tremaining: 96.4ms\n928:\tlearn: 0.2324867\ttotal: 1.24s\tremaining: 95ms\n929:\tlearn: 0.2323499\ttotal: 1.24s\tremaining: 93.7ms\n930:\tlearn: 0.2321877\ttotal: 1.25s\tremaining: 92.4ms\n931:\tlearn: 0.2320211\ttotal: 1.25s\tremaining: 91ms\n932:\tlearn: 0.2318794\ttotal: 1.25s\tremaining: 89.7ms\n933:\tlearn: 0.2317919\ttotal: 1.25s\tremaining: 88.3ms\n934:\tlearn: 0.2316817\ttotal: 1.25s\tremaining: 87ms\n935:\tlearn: 0.2315785\ttotal: 1.25s\tremaining: 85.7ms\n936:\tlearn: 0.2314369\ttotal: 1.25s\tremaining: 84.3ms\n937:\tlearn: 0.2313316\ttotal: 1.25s\tremaining: 83ms\n938:\tlearn: 0.2311944\ttotal: 1.26s\tremaining: 81.6ms\n939:\tlearn: 0.2310629\ttotal: 1.26s\tremaining: 80.3ms\n940:\tlearn: 0.2308922\ttotal: 1.26s\tremaining: 79ms\n941:\tlearn: 0.2307811\ttotal: 1.26s\tremaining: 77.6ms\n942:\tlearn: 0.2306170\ttotal: 1.26s\tremaining: 76.3ms\n943:\tlearn: 0.2305289\ttotal: 1.26s\tremaining: 74.9ms\n944:\tlearn: 0.2303702\ttotal: 1.26s\tremaining: 73.6ms\n945:\tlearn: 0.2302684\ttotal: 1.26s\tremaining: 72.3ms\n946:\tlearn: 0.2300650\ttotal: 1.27s\tremaining: 70.9ms\n947:\tlearn: 0.2299574\ttotal: 1.27s\tremaining: 69.6ms\n948:\tlearn: 0.2297789\ttotal: 1.27s\tremaining: 68.2ms\n949:\tlearn: 0.2296886\ttotal: 1.27s\tremaining: 66.9ms\n950:\tlearn: 0.2295969\ttotal: 1.27s\tremaining: 65.5ms\n951:\tlearn: 0.2294750\ttotal: 1.27s\tremaining: 64.2ms\n952:\tlearn: 0.2293852\ttotal: 1.27s\tremaining: 62.9ms\n953:\tlearn: 0.2292566\ttotal: 1.28s\tremaining: 61.5ms\n954:\tlearn: 0.2291288\ttotal: 1.28s\tremaining: 60.2ms\n955:\tlearn: 0.2289669\ttotal: 1.28s\tremaining: 58.9ms\n956:\tlearn: 0.2287992\ttotal: 1.28s\tremaining: 57.5ms\n957:\tlearn: 0.2286856\ttotal: 1.28s\tremaining: 56.2ms\n958:\tlearn: 0.2285741\ttotal: 1.28s\tremaining: 54.9ms\n959:\tlearn: 0.2283999\ttotal: 1.28s\tremaining: 53.5ms\n960:\tlearn: 0.2283209\ttotal: 1.28s\tremaining: 52.2ms\n961:\tlearn: 0.2282311\ttotal: 1.29s\tremaining: 50.8ms\n962:\tlearn: 0.2280699\ttotal: 1.29s\tremaining: 49.5ms\n963:\tlearn: 0.2279441\ttotal: 1.29s\tremaining: 48.2ms\n964:\tlearn: 0.2277671\ttotal: 1.29s\tremaining: 46.8ms\n965:\tlearn: 0.2276439\ttotal: 1.29s\tremaining: 45.5ms\n966:\tlearn: 0.2275516\ttotal: 1.29s\tremaining: 44.2ms\n967:\tlearn: 0.2274655\ttotal: 1.29s\tremaining: 42.8ms\n968:\tlearn: 0.2273657\ttotal: 1.3s\tremaining: 41.5ms\n969:\tlearn: 0.2272552\ttotal: 1.3s\tremaining: 40.2ms\n970:\tlearn: 0.2271202\ttotal: 1.3s\tremaining: 38.8ms\n971:\tlearn: 0.2269476\ttotal: 1.3s\tremaining: 37.5ms\n972:\tlearn: 0.2267795\ttotal: 1.3s\tremaining: 36.1ms\n973:\tlearn: 0.2266655\ttotal: 1.3s\tremaining: 34.8ms\n974:\tlearn: 0.2265102\ttotal: 1.3s\tremaining: 33.5ms\n975:\tlearn: 0.2263874\ttotal: 1.3s\tremaining: 32.1ms\n976:\tlearn: 0.2262242\ttotal: 1.31s\tremaining: 30.8ms\n977:\tlearn: 0.2260340\ttotal: 1.31s\tremaining: 29.4ms\n978:\tlearn: 0.2259051\ttotal: 1.31s\tremaining: 28.1ms\n979:\tlearn: 0.2257953\ttotal: 1.31s\tremaining: 26.8ms\n980:\tlearn: 0.2256369\ttotal: 1.31s\tremaining: 25.4ms\n981:\tlearn: 0.2255181\ttotal: 1.31s\tremaining: 24.1ms\n982:\tlearn: 0.2253744\ttotal: 1.32s\tremaining: 22.8ms\n983:\tlearn: 0.2253042\ttotal: 1.32s\tremaining: 21.4ms\n984:\tlearn: 0.2251955\ttotal: 1.32s\tremaining: 20.1ms\n985:\tlearn: 0.2250286\ttotal: 1.32s\tremaining: 18.8ms\n986:\tlearn: 0.2248336\ttotal: 1.32s\tremaining: 17.4ms\n987:\tlearn: 0.2246963\ttotal: 1.32s\tremaining: 16.1ms\n988:\tlearn: 0.2245518\ttotal: 1.32s\tremaining: 14.7ms\n989:\tlearn: 0.2244328\ttotal: 1.32s\tremaining: 13.4ms\n990:\tlearn: 0.2242437\ttotal: 1.33s\tremaining: 12.1ms\n991:\tlearn: 0.2241087\ttotal: 1.33s\tremaining: 10.7ms\n992:\tlearn: 0.2239619\ttotal: 1.33s\tremaining: 9.37ms\n993:\tlearn: 0.2238540\ttotal: 1.33s\tremaining: 8.03ms\n994:\tlearn: 0.2237682\ttotal: 1.33s\tremaining: 6.7ms\n995:\tlearn: 0.2235843\ttotal: 1.33s\tremaining: 5.36ms\n996:\tlearn: 0.2234413\ttotal: 1.33s\tremaining: 4.02ms\n997:\tlearn: 0.2233262\ttotal: 1.34s\tremaining: 2.68ms\n998:\tlearn: 0.2231933\ttotal: 1.34s\tremaining: 1.34ms\n999:\tlearn: 0.2231028\ttotal: 1.34s\tremaining: 0us\n","output_type":"stream"},{"execution_count":75,"output_type":"execute_result","data":{"text/plain":"StackingClassifier(classifiers=[RandomForestClassifier(), SVC(),\n LogisticRegression(), DecisionTreeClassifier(),\n KNeighborsClassifier(),\n GradientBoostingClassifier(),\n AdaBoostClassifier(),\n ,\n ExtraTreesClassifier(),\n XGBClassifier(base_score=None, booster=None,\n callbacks=None,\n colsample_bylevel=None,\n colsamp...\n interaction_constraints=None,\n learning_rate=None, max_bin=None,\n max_cat_threshold=None,\n max_cat_to_onehot=None,\n max_delta_step=None,\n max_depth=None, max_leaves=None,\n min_child_weight=None,\n missing=nan,\n monotone_constraints=None,\n multi_strategy=None,\n n_estimators=None, n_jobs=None,\n num_parallel_tree=None,\n random_state=None, ...),\n BaggingClassifier()],\n meta_classifier=LogisticRegression())","text/html":"
StackingClassifier(classifiers=[RandomForestClassifier(), SVC(),\n                                LogisticRegression(), DecisionTreeClassifier(),\n                                KNeighborsClassifier(),\n                                GradientBoostingClassifier(),\n                                AdaBoostClassifier(),\n                                <catboost.core.CatBoostClassifier object at 0x7f117f84e860>,\n                                ExtraTreesClassifier(),\n                                XGBClassifier(base_score=None, booster=None,\n                                              callbacks=None,\n                                              colsample_bylevel=None,\n                                              colsamp...\n                                              interaction_constraints=None,\n                                              learning_rate=None, max_bin=None,\n                                              max_cat_threshold=None,\n                                              max_cat_to_onehot=None,\n                                              max_delta_step=None,\n                                              max_depth=None, max_leaves=None,\n                                              min_child_weight=None,\n                                              missing=nan,\n                                              monotone_constraints=None,\n                                              multi_strategy=None,\n                                              n_estimators=None, n_jobs=None,\n                                              num_parallel_tree=None,\n                                              random_state=None, ...),\n                                BaggingClassifier()],\n                   meta_classifier=LogisticRegression())
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
"},"metadata":{}}]},{"cell_type":"code","source":"# Predict with Stacking Classifier\ny_pred_stack = stack.predict(X_test)\n# Calculate evaluation metrics for Stacking Classifier\naccuracy_stack = accuracy_score(y_test, y_pred_stack)\nreport_stack = classification_report(y_test, y_pred_stack, output_dict=True)\nprecision_stack = report_stack['macro avg']['precision']\nrecall_stack = report_stack['macro avg']['recall']\nf1_score_stack = report_stack['macro avg']['f1-score']\n","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:16.130305Z","iopub.execute_input":"2024-07-21T17:50:16.130900Z","iopub.status.idle":"2024-07-21T17:50:16.287702Z","shell.execute_reply.started":"2024-07-21T17:50:16.130855Z","shell.execute_reply":"2024-07-21T17:50:16.286197Z"},"trusted":true},"execution_count":76,"outputs":[]},{"cell_type":"code","source":"# Append Stacking Classifier results to the evaluation results\nevaluation_results.append({\n 'Model': 'Stacking Classifier',\n 'Accuracy': accuracy_stack,\n 'Precision': precision_stack,\n 'Recall': recall_stack,\n 'F1 Score': f1_score_stack\n})\n# Update results DataFrame\nresults = pd.DataFrame(evaluation_results)\n# Save updated results to CSV\nresults.to_csv('evaluation_results_with_stacking.csv', index=False)\n# Display updated evaluation results in table form\nprint(results)","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:16.289712Z","iopub.execute_input":"2024-07-21T17:50:16.290061Z","iopub.status.idle":"2024-07-21T17:50:16.305693Z","shell.execute_reply.started":"2024-07-21T17:50:16.290034Z","shell.execute_reply":"2024-07-21T17:50:16.304298Z"},"trusted":true},"execution_count":77,"outputs":[{"name":"stdout","text":" Model Accuracy Precision Recall F1 Score\n0 Random Forest 0.752665 0.686394 0.660551 0.669750\n1 Support Vector Classifier 0.773987 0.721856 0.665816 0.681222\n2 Logistic Regression 0.763326 0.702406 0.663184 0.675493\n3 Decision Tree 0.695096 0.620161 0.620728 0.620441\n4 K-Nearest Neighbors 0.735608 0.661683 0.639267 0.646975\n5 Gradient Boosting 0.773987 0.717072 0.689528 0.699925\n6 AdaBoost 0.782516 0.728192 0.712026 0.718984\n7 CatBoost 0.761194 0.699333 0.683050 0.689800\n8 Extra Trees 0.761194 0.699206 0.659337 0.671569\n9 XGBoost 0.727079 0.656931 0.652337 0.654464\n10 Bagging Classifier 0.733475 0.657757 0.633050 0.641036\n11 Stacking Classifier 0.750533 0.683425 0.659076 0.667849\n","output_type":"stream"}]},{"cell_type":"code","source":"# Display confusion matrix for Stacking Classifier\ncm_stack = confusion_matrix(y_test, y_pred_stack)\ndisp_stack = ConfusionMatrixDisplay(confusion_matrix=cm_stack)\ndisp_stack.plot()\nplt.title(\"Confusion Matrix for Stacking Classifier\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:16.307376Z","iopub.execute_input":"2024-07-21T17:50:16.307804Z","iopub.status.idle":"2024-07-21T17:50:16.579260Z","shell.execute_reply.started":"2024-07-21T17:50:16.307769Z","shell.execute_reply":"2024-07-21T17:50:16.578006Z"},"trusted":true},"execution_count":78,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"# Plot accuracies\nplt.figure(figsize=(12, 8))\nplt.bar(results['Model'], results['Accuracy'], color='skyblue')\nplt.xlabel('Model')\nplt.ylabel('Accuracy')\nplt.title('Model Accuracies')\nplt.xticks(rotation=45)\nplt.ylim(0, 1)\nfor i in range(len(results)):\n plt.text(i, results['Accuracy'][i] + 0.01, f\"{results['Accuracy'][i]:.2f}\", ha='center')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-07-21T17:50:16.580592Z","iopub.execute_input":"2024-07-21T17:50:16.580923Z","iopub.status.idle":"2024-07-21T17:50:16.914839Z","shell.execute_reply.started":"2024-07-21T17:50:16.580894Z","shell.execute_reply":"2024-07-21T17:50:16.913614Z"},"trusted":true},"execution_count":79,"outputs":[{"output_type":"display_data","data":{"text/plain":"
","image/png":"iVBORw0KGgoAAAANSUhEUgAAA+kAAAMyCAYAAAARxICTAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAADgFklEQVR4nOzdeVgV5fvH8fuACuKCOyjuSy6puKPmmibu+15q5pIpmVGkaIpbYmZmpmkaYuX61dx3I03NNXfLvVxSQdEExRSF+/eH15kfJ8DEgDPA+3VdXMpzZg73DJyZ+czM84xFVVUAAAAAAIDdOdi7AAAAAAAA8AQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAE7FYLDJ27Ngkz3fx4kWxWCyyYMGCZK8pPdqxY4dYLBbZsWOHvUsBAMAGIR0AgH9YsGCBWCwWsVgssnv37nivq6oUKVJELBaLtG7d2g4VJo+NGzeKxWKRQoUKSWxsrL3LAQAAQkgHACBRzs7Osnjx4njtP/30k/z555/i5ORkh6qSz6JFi6R48eJy/fp1+fHHH+1dTqpq0KCB/P3339KgQQN7lwIAgA1COgAAiWjZsqUsX75cHj9+bNO+ePFiqV69uri7u9upsv8uKipK1qxZI76+vlK1alVZtGiRvUtKVFRUVLK/p4ODgzg7O4uDA4dCAABzYc8EAEAievToIbdu3ZJt27YZbdHR0bJixQrp2bNngvNERUXJe++9J0WKFBEnJycpW7asTJ06VVTVZrqHDx/Ku+++K/nz55ccOXJI27Zt5c8//0zwPa9evSpvvPGGuLm5iZOTk7z44osyf/78/7Rsq1atkr///lu6dOki3bt3l5UrV8qDBw/iTffgwQMZO3asvPDCC+Ls7CwFCxaUjh07yoULF4xpYmNj5fPPP5dKlSqJs7Oz5M+fX5o3by6//PKLiDy9v/w/++CPHTtWLBaL/Pbbb9KzZ0/JnTu31KtXT0REjh8/Lq+//rqULFlSnJ2dxd3dXd544w25detWguusX79+UqhQIXFycpISJUrIW2+9JdHR0SKSeJ/0/fv3S/PmzcXV1VVcXFykYcOG8vPPP9tMc/fuXRk2bJgUL15cnJycpECBAvLKK6/I4cOHn2ndAwDwNJnsXQAAAGZVvHhxqVOnjixZskRatGghIiKbNm2SiIgI6d69u8yYMcNmelWVtm3byvbt26Vfv35SpUoV2bJli/j5+cnVq1fls88+M6bt37+/LFy4UHr27Cl169aVH3/8UVq1ahWvhrCwMKldu7ZYLBbx8fGR/Pnzy6ZNm6Rfv34SGRkpw4YNe65lW7RokTRu3Fjc3d2le/fuMmLECFm3bp106dLFmCYmJkZat24tISEh0r17d3nnnXfk7t27sm3bNjl58qSUKlVKRET69esnCxYskBYtWkj//v3l8ePHsmvXLtm3b5/UqFHjuerr0qWLlClTRiZNmmSc4Ni2bZv8/vvv0rdvX3F3d5dff/1V5s6dK7/++qvs27dPLBaLiIhcu3ZNatWqJXfu3JGBAwdKuXLl5OrVq7JixQq5f/++ZMmSJcGf+eOPP0qLFi2kevXqEhAQIA4ODhIcHCwvv/yy7Nq1S2rVqiUiIoMGDZIVK1aIj4+PVKhQQW7duiW7d++WU6dOSbVq1Z5reQEAMCgAALARHBysIqIHDx7UmTNnao4cOfT+/fuqqtqlSxdt3LixqqoWK1ZMW7VqZcy3evVqFRGdOHGizft17txZLRaLnj9/XlVVjx49qiKigwcPtpmuZ8+eKiIaEBBgtPXr108LFiyo4eHhNtN2795dXV1djbr++OMPFRENDg7+1+ULCwvTTJky6bx584y2unXrart27Wymmz9/voqITps2Ld57xMbGqqrqjz/+qCKiQ4cOTXSap9X2z+UNCAhQEdEePXrEm9a6rHEtWbJERUR37txptPXu3VsdHBz04MGDida0fft2FRHdvn270V6mTBn19vY2prH+zBIlSugrr7xitLm6uuqQIUPivTcAAMmB290BAHiKrl27yt9//y3r16+Xu3fvyvr16xO91X3jxo3i6OgoQ4cOtWl/7733RFVl06ZNxnQiEm+6f14VV1X5/vvvpU2bNqKqEh4ebnx5e3tLRETEc91ivXTpUnFwcJBOnToZbT169JBNmzbJX3/9ZbR9//33ki9fPnn77bfjvYf1qvX3338vFotFAgICEp3meQwaNCheW9asWY3/P3jwQMLDw6V27doiIsZ6iI2NldWrV0ubNm0SvIqfWE1Hjx6Vc+fOSc+ePeXWrVvGeo6KipImTZrIzp07jRHwc+XKJfv375dr16499/IBAJAYbncHAOAp8ufPL02bNpXFixfL/fv3JSYmRjp37pzgtJcuXZJChQpJjhw5bNrLly9vvG7918HBwbhd3Kps2bI239+8eVPu3Lkjc+fOlblz5yb4M2/cuJHkZVq4cKHUqlVLbt26ZfTnrlq1qkRHR8vy5ctl4MCBIiJy4cIFKVu2rGTKlPjhwoULF6RQoUKSJ0+eJNfxNCVKlIjXdvv2bRk3bpwsXbo03nJHRESIyJN1FhkZKRUrVkzSzzt37pyIiPTp0yfRaSIiIiR37twyZcoU6dOnjxQpUkSqV68uLVu2lN69e0vJkiWT9DMBAEgIIR0AgH/Rs2dPGTBggISGhkqLFi0kV65cqfJzrVduX3vttUTDY+XKlZP0nufOnZODBw+KiEiZMmXivb5o0SIjpCeXxK5ex8TEJDpP3KvmVl27dpU9e/aIn5+fVKlSRbJnzy6xsbHSvHnz//ycd+v8n3zyiVSpUiXBabJnz27UUb9+fVm1apVs3bpVPvnkE/n4449l5cqVxtgFAAA8L0I6AAD/okOHDvLmm2/Kvn37ZNmyZYlOV6xYMfnhhx/k7t27NlfTT58+bbxu/Tc2Nta4Um115swZm/ezjvweExMjTZs2TZZlWbRokWTOnFm+++47cXR0tHlt9+7dMmPGDLl8+bIULVpUSpUqJfv375dHjx5J5syZE3y/UqVKyZYtW+T27duJXk3PnTu3iIjcuXPHpt16Z8Gz+OuvvyQkJETGjRsnY8aMMdqtV8Ct8ufPLzlz5pSTJ08+83uLiHFXQ86cOZ9pXRcsWFAGDx4sgwcPlhs3bki1atXko48+IqQDAP4z+qQDAPAvsmfPLrNnz5axY8dKmzZtEp2uZcuWEhMTIzNnzrRp/+yzz8RisRgBzvrvP0eHnz59us33jo6O0qlTJ/n+++8TDJ03b95M8rIsWrRI6tevL926dZPOnTvbfPn5+YmIyJIlS0REpFOnThIeHh5veUTEGHG9U6dOoqoybty4RKfJmTOn5MuXT3bu3Gnz+pdffvnMdVtPKOg/HmX3z3Xm4OAg7du3l3Xr1hmPgEuopn+qXr26lCpVSqZOnSr37t2L97p1XcfExBi31lsVKFBAChUqJA8fPnzm5QEAIDFcSQcA4Bk8ra+yVZs2baRx48YyatQouXjxonh6esrWrVtlzZo1MmzYMONqbZUqVaRHjx7y5ZdfSkREhNStW1dCQkLk/Pnz8d5z8uTJsn37dvHy8pIBAwZIhQoV5Pbt23L48GH54Ycf5Pbt28+8DPv375fz58+Lj49Pgq97eHhItWrVZNGiRTJ8+HDp3bu3fPvtt+Lr6ysHDhyQ+vXrS1RUlPzwww8yePBgadeunTRu3Fh69eolM2bMkHPnzhm3nu/atUsaN25s/Kz+/fvL5MmTpX///lKjRg3ZuXOnnD179plrz5kzpzRo0ECmTJkijx49Eg8PD9m6dav88ccf8aadNGmSbN26VRo2bCgDBw6U8uXLy/Xr12X58uWye/fuBLsrODg4yNdffy0tWrSQF198Ufr27SseHh5y9epV2b59u+TMmVPWrVsnd+/elcKFC0vnzp3F09NTsmfPLj/88IMcPHhQPv3002deHgAAEkNIBwAgmTg4OMjatWtlzJgxsmzZMgkODpbixYvLJ598Iu+9957NtPPnz5f8+fPLokWLZPXq1fLyyy/Lhg0bpEiRIjbTubm5yYEDB2T8+PGycuVK+fLLLyVv3rzy4osvyscff5yk+hYtWiQi8tS7Adq0aSNjx46V48ePS+XKlWXjxo3y0UcfyeLFi+X777+XvHnzSr169aRSpUrGPMHBwVK5cmUJCgoSPz8/cXV1lRo1akjdunWNacaMGSM3b96UFStWyP/+9z9p0aKFbNq0SQoUKPDM9S9evFjefvttmTVrlqiqNGvWTDZt2iSFChWymc7Dw0P2798vo0ePlkWLFklkZKR4eHhIixYtxMXFJdH3b9Sokezdu1cmTJggM2fOlHv37om7u7t4eXnJm2++KSIiLi4uMnjwYNm6dausXLlSYmNjpXTp0vLll1/KW2+99czLAgBAYiya2H1fAAAAAAAgVdEnHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMwq4hfefOndKmTRspVKiQWCwWWb169b/Os2PHDqlWrZo4OTlJ6dKlZcGCBSleJwAAAAAAqcGuIT0qKko8PT1l1qxZzzT9H3/8Ia1atZLGjRvL0aNHZdiwYdK/f3/ZsmVLClcKAAAAAEDKM83o7haLRVatWiXt27dPdJrhw4fLhg0b5OTJk0Zb9+7d5c6dO7J58+ZUqBIAAAAAgJSTpp6TvnfvXmnatKlNm7e3twwbNizReR4+fCgPHz40vo+NjZXbt29L3rx5xWKxpFSpAAAAAACIiIiqyt27d6VQoULi4PD0G9rTVEgPDQ0VNzc3mzY3NzeJjIyUv//+W7JmzRpvnsDAQBk3blxqlQgAAAAAQIKuXLkihQsXfuo0aSqkPw9/f3/x9fU1vo+IiJCiRYvKlStXJGfOnHasDAAAAACQEURGRkqRIkUkR44c/zptmgrp7u7uEhYWZtMWFhYmOXPmTPAquoiIk5OTODk5xWvPmTMnIR0AAAAAkGqepct1mnpOep06dSQkJMSmbdu2bVKnTh07VQQAAAAAQPKxa0i/d++eHD16VI4ePSoiTx6xdvToUbl8+bKIPLlVvXfv3sb0gwYNkt9//10++OADOX36tHz55Zfyv//9T9599117lA8AAAAAQLKya0j/5ZdfpGrVqlK1alUREfH19ZWqVavKmDFjRETk+vXrRmAXESlRooRs2LBBtm3bJp6envLpp5/K119/Ld7e3napHwAAAACA5GSa56SnlsjISHF1dZWIiAj6pAMAAAAAUlxScmia6pMOAAAAAEB6RkgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQCAacyaNUuKFy8uzs7O4uXlJQcOHEh02kaNGonFYon31apVK2Oae/fuiY+PjxQuXFiyZs0qFSpUkDlz5qTGogAA8FzsHtKTsjMWEZk+fbqULVtWsmbNKkWKFJF3331XHjx4kErVAgCAlLJs2TLx9fWVgIAAOXz4sHh6eoq3t7fcuHEjwelXrlwp169fN75Onjwpjo6O0qVLF2MaX19f2bx5syxcuFBOnTolw4YNEx8fH1m7dm1qLRYAAEli15Ce1J3x4sWLZcSIERIQECCnTp2SoKAgWbZsmYwcOTKVKwcAAMlt2rRpMmDAAOnbt69xxdvFxUXmz5+f4PR58uQRd3d342vbtm3i4uJiE9L37Nkjffr0kUaNGknx4sVl4MCB4unp+a8XBQAAsBe7hvSk7oz37NkjL730kvTs2VOKFy8uzZo1kx49erCjBQAgjYuOjpZDhw5J06ZNjTYHBwdp2rSp7N2795neIygoSLp37y7ZsmUz2urWrStr166Vq1eviqrK9u3b5ezZs9KsWbNkXwYAAJKD3UL68+yM69atK4cOHTJC+e+//y4bN26Uli1bJvpzHj58KJGRkTZfAADAXMLDwyUmJkbc3Nxs2t3c3CQ0NPRf5z9w4ICcPHlS+vfvb9P+xRdfSIUKFaRw4cKSJUsWad68ucyaNUsaNGiQrPUDAJBc7BbSn2dn3LNnTxk/frzUq1dPMmfOLKVKlZJGjRo99Xb3wMBAcXV1Nb6KFCmSrMuBtCu5BydK6HWLxSKffPJJaiwOgDSCbU/KCAoKkkqVKkmtWrVs2r/44gvZt2+frF27Vg4dOiSffvqpDBkyRH744Qc7VQoAwNPZfeC4pNixY4dMmjRJvvzySzl8+LCsXLlSNmzYIBMmTEh0Hn9/f4mIiDC+rly5kooVw6xSYnCiuK9fv35d5s+fLxaLRTp16pRaiwXA5Nj2JC5fvnzi6OgoYWFhNu1hYWHi7u7+1HmjoqJk6dKl0q9fP5v2v//+W0aOHCnTpk2TNm3aSOXKlcXHx0e6desmU6dOTfZlAAAgOdgtpD/Pznj06NHSq1cv6d+/v1SqVEk6dOggkyZNksDAQImNjU1wHicnJ8mZM6fNF5ASgxPFfd3d3V3WrFkjjRs3lpIlS6bWYgEwObY9icuSJYtUr15dQkJCjLbY2FgJCQmROnXqPHXe5cuXy8OHD+W1116zaX/06JE8evRIHBxsD3ccHR0TPW4AAMDe7BbSn2dnfP/+/QR3tCIiqppyxSJdSanBieIKCwuTDRs2xLuqAyDjYtvz73x9fWXevHnyzTffyKlTp+Stt96SqKgo6du3r4iI9O7dW/z9/ePNFxQUJO3bt5e8efPatOfMmVMaNmwofn5+smPHDvnjjz9kwYIF8u2330qHDh1SZZkAAEiqTPb84b6+vtKnTx+pUaOG1KpVS6ZPnx5vZ+zh4SGBgYEiItKmTRuZNm2aVK1aVby8vOT8+fMyevRoadOmjRHWgX/ztPEQTp8+/a/zWwcnCgoKSnSab775RnLkyCEdO3b8z/UCSB/Y9vy7bt26yc2bN2XMmDESGhoqVapUkc2bNxvr7PLly/FO1p85c0Z2794tW7duTfA9ly5dKv7+/vLqq6/K7du3pVixYvLRRx/JoEGDUnx5AAB4HnYN6UndGX/44YdisVjkww8/lKtXr0r+/PmlTZs28tFHH9lrEZABJTY4UVzz58+XV199VZydnVOxMgDpWUbZ9vj4+IiPj0+Cr+3YsSNeW9myZZ96N527u7sEBwcnV3kAAKQ4u4Z0kaTtjDNlyiQBAQESEBCQCpUhvUqOwYnGjx+f6DS7du2SM2fOyLJly5KlXgDpA9seAADwLNLU6O5AckiJwYniCgoKkurVq4unp2ey1WwPyf2YKBGRU6dOSdu2bcXV1VWyZcsmNWvWlMuXL6f0ogCmwLYHAAA8C0I6MqTkHpzIKjIyUpYvXy79+/dP0fpTWko8JurChQtSr149KVeunOzYsUOOHz8uo0ePTtO35QJJxbYH/wUnT5+O9QMg3dAMJiIiQkVEIyIi7F0K7OyLL77QokWLapYsWbRWrVq6b98+47WGDRtqnz59bKY/ffq0iohu3bo10ff86quvNGvWrHrnzp2UKjtV1KpVS4cMGWJ8HxMTo4UKFdLAwMBnmv+zzz7THDly6L1794y2bt266WuvvZbstQJpDdsePI+lS5dqlixZdP78+frrr7/qgAEDNFeuXBoWFpbg9Ldu3dLr168bXydPnlRHR0cNDg42pjl//rzmyZNH/fz89PDhw3r+/Hlds2ZNou9pZqwfAGaXlBxqUc1Yzy6LjIwUV1dXiYiI4JnpQAKio6PFxcVFVqxYIe3btzfa+/TpI3fu3JE1a9b863tUqlRJ6tSpI3PnzhWRJ7f0urq6ygcffCC7d++WI0eOSIkSJcTf39/mZwAAEubl5SU1a9aUmTNnisiT7WqRIkXk7bfflhEjRvzr/NOnT5cxY8bI9evXjUf4de/eXTJnzizfffdditaeGlg/AMwuKTnU7gPHATCXlHhM1I0bN+TevXsyefJkmThxonz88ceyefNm6dixo2zfvl0aNmyY7MsBIPVNPhJu7xJSxYiq+VL150VHR8uhQ4dsukI4ODhI06ZNZe/evc/0HkFBQdK9e3cjgMbGxsqGDRvkgw8+EG9v7zR98pT1AyC9oU86gGSV0GOiYmNjRUSkXbt28u6770qVKlVkxIgR0rp1a5kzZ469SgWANOFpJ09DQ0P/dX7rydO4YxbEPXnavHlz2bp1q3To0EE6duwoP/30U7IvQ0pi/QBIb7iSDsBGSjwmKl++fJIpUyapUKGCTXv58uVl9+7dyVM4ACBBz3LyVESkSpUqsmfPHpkzZ06GusOJ9QPAbLiSns4l90inr7/+erzXmzdvnhqLglSSEo+JypIli9SsWVPOnDlj03727FkpVqxY8hUPAOlQcpw87devX7z3TOzkaVobvZz1AyC9IaSnYynxGC0RkebNm9tMt2TJktRYHKSilHhMlJ+fnyxbtkzmzZsn58+fl5kzZ8q6detk8ODBKb48AJCWcfL06Vg/QMriol/q43b3dGzatGkyYMAAI1jNmTNHNmzYIPPnz09wpNM8efLYfL906VJxcXGJF9KdnJz+9cx0amCAopTTrVs3uXnzpowZM0ZCQ0OlSpUqsnnzZqO/3+XLl8XBwfYc35kzZ2T37t2ydevWBN+zQ4cOMmfOHAkMDJShQ4dK2bJl5fvvv5d69eql+PIAySkjbHvssd3B0/n6+kqfPn2kRo0aUqtWLZk+fXq8k6ceHh4SGBhoM9+/nTzt1q2bNGjQQBo3biybN2+WdevWyY4dO1JjkZIV6wdIGdaLfnPmzBEvLy+ZPn26eHt7y5kzZ6RAgQLxpl+5cqVER0cb39+6dUs8PT0TvOgXHBxsfO/k5JRyC5EGEdLTqZQY6dRqx44dUqBAAcmdO7e8/PLLMnHixAR3bkjbfHx8xMfHJ8HXEjpAKVu2rPzbEx3feOMNeeONN5KjPADIUDh5+nSsHyBlpPeLfmbFc9LTqWvXromHh4fs2bPH5lavDz74QH766SfZv3//U+c/cOCAeHl5yf79+20GUrF+0EqUKCEXLlyQkSNHSvbs2WXv3r3i6OiYYsuTkIxwNUuEK1qA2WSEbc/zbncywroRYbsMIGOIjo4WFxcXWbFihc2jB/v06SN37tyRNWvW/Ot7VKpUSerUqSNz58412l5//XVZvXq1ZMmSJUNd9OM56fjPEhrpVESke/fuxv8rVaoklStXllKlSsmOHTukSZMmqV0mAAAAgBTwtMcbnj59+l/ntz7eMCgoyKa9efPm0rFjR5uLfi1atLDLRT+zIqSnUynxGK2ElCxZUvLlyyfnz58npAMAAAAQES76/ReM7p5OpcRIpwn5888/5datW1KwYMH/XDMAAAAAc0iJxxsmJO5FPzzBlfR0LLlHOr13756MGzdOOnXqJO7u7nLhwgX54IMPpHTp0uLt7Z1qy4VnkxH6htIvFAAAIGXEvehn7ZNuveiX2ODCVlz0+28I6elYco906ujoKMePH5dvvvlG7ty5I4UKFZJmzZrJhAkTeGwCAAAAkM5w0c8+COnpXHI+Ritr1qyyZcuW5CwPQDo0a9Ys+eSTTyQ0NFQ8PT3liy++iNcfzapRo0by008/xWtv2bKlbNiwIV77oEGD5KuvvpLPPvtMhg0bltylAymKO5yejvUDmA8X/eyDPukAgGSzbNky8fX1lYCAADl8+LB4enqKt7e33LhxI8HpV65cKdevXze+Tp48KY6OjvGepyoismrVKtm3b58UKlQopRcDAJCBzJo1S4oXLy7Ozs7i5eUlBw4cSHTaRo0aicViiffVqlUrY5qxY8dKuXLlJFu2bJI7d25p2rTpvz7+2Mx8fHzk0qVL8vDhQ9m/f794eXkZr+3YsUMWLFhgM731ot8rr7wS772sF/1u3Lgh0dHRcvHiRZk7d268EeQzOkI6ACDZTJs2TQYMGCB9+/aVChUqyJw5c8TFxUXmz5+f4PR58uQRd3d342vbtm3i4uISL6RfvXpV3n77bVm0aJFkzpw5NRYFAJABpMTJ5RdeeEFmzpwpJ06ckN27d0vx4sWlWbNmcvPmzdRaLKRxhHQAQLKIjo6WQ4cOSdOmTY02BwcHadq0qezdu/eZ3iMoKEi6d+8u2bJlM9piY2OlV69e4ufnJy+++GKy1w0AyLhS4uRyz549pWnTplKyZEl58cUXZdq0aRIZGSnHjx9PrcVCGkdIBwAki/DwcImJiYl3y5qbm5uEhob+6/wHDhyQkydPSv/+/W3aP/74Y8mUKZMMHTo0WesFAGRsKXVy+Z8/Y+7cueLq6iqenp7JUjfSPwaOMzkGUQGQUQQFBUmlSpVsBpk7dOiQfP7553L48GGxWCx2rA4A0rbkHtRz7NixsnTpUrly5YrxqK6PPvrIpr+y2T3t5PLp06f/dX7ryeWgoKB4r61fv166d+8u9+/fl4IFC8q2bdskXz6OefFsCOkAgGSRL18+cXR0lLCwMJv2sLAwcXd3f+q8UVFRsnTpUhk/frxN+65du+TGjRtStGhRoy0mJkbee+89mT59uly8eDHZ6geA9Mra73rOnDni5eUl06dPF29vbzlz5owUKFAg3vQrV66U6Oho4/tbt26Jp6dngv2uS5YsKX///bd89tln0qxZMzl//rzkz58/VZbL3hI6uWzVuHFjOXr0qISHh8u8efOka9eusn///gTXd0rjol/aw+3uAIBkYb2SEhISYrTFxsZKSEiI1KlT56nzLl++XB4+fCivvfaaTXuvXr3k+PHjcvToUeOrUKFC4ufnxyMhAeAZ0e86Yclxcrlfv34Jvp4tWzYpXbq01K5dW4KCgiRTpkwJXnEHEkJIBwAkG19fX5k3b5588803curUKXnrrbckKipK+vbtKyIivXv3Fn9//3jzBQUFSfv27SVv3rw27Xnz5pWKFSvafGXOnFnc3d2lbNmyqbJMAJCW0e86cSlxcjkxsbGx8vDhw/9ULzIObncHACSbbt26yc2bN2XMmDESGhoqVapUkc2bNxv9/S5fviwODrbnh8+cOSO7d++WrVu32qNkAEjX6Hf9dL6+vtKnTx+pUaOG1KpVS6ZPnx7v5LKHh4cEBgbazJfYyeWoqCj56KOPpG3btlKwYEEJDw+XWbNmydWrV+M9XhRIDCEdAJCsfHx8xMfHJ8HXduzYEa+tbNmyoqrP/P70QweA1JNW+l0/r+Q+uezo6CinT5+Wb775RsLDwyVv3rxSs2ZN2bVrF48RxTMjpAMAAADpVEoM6mll7Xdt7XtdpkwZCQoKSrBbk5kl58llZ2dnWblyZXKWhwyIPukAAABAOkW/ayDt4Uo6AAAAkI7R7xpIWwjpAAAAQDpGv2sgbSGkAwBsTD4Sbu8SUtyIqmlr9GEA+K/odw2kHfRJBwAAAADAJLiSDgAAACDN4g4wpDdcSQcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAk6BPOgAAAGBiGaHPtQj9rgErrqQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gHgOcyaNUuKFy8uzs7O4uXlJQcOHEh02kaNGonFYon31apVK2MaVZUxY8ZIwYIFJWvWrNK0aVM5d+5caiwKAAAATISQDgBJtGzZMvH19ZWAgAA5fPiweHp6ire3t9y4cSPB6VeuXCnXr183vk6ePCmOjo7SpUsXY5opU6bIjBkzZM6cObJ//37Jli2beHt7y4MHD1JrsQAAAGAChHQASKJp06bJgAEDpG/fvlKhQgWZM2eOuLi4yPz58xOcPk+ePOLu7m58bdu2TVxcXIyQrqoyffp0+fDDD6Vdu3ZSuXJl+fbbb+XatWuyevXqVFwyAAAA2BshHQCSIDo6Wg4dOiRNmzY12hwcHKRp06ayd+/eZ3qPoKAg6d69u2TLlk1ERP744w8JDQ21eU9XV1fx8vJ65vcEAABA+kBIB4AkCA8Pl5iYGHFzc7Npd3Nzk9DQ0H+d/8CBA3Ly5Enp37+/0Wad73nfEwAAAOkHIR0AUlFQUJBUqlRJatWqZe9SAAAAYEKEdABIgnz58omjo6OEhYXZtIeFhYm7u/tT542KipKlS5dKv379bNqt8z3PewIAACB9IaQDQBJkyZJFqlevLiEhIUZbbGyshISESJ06dZ467/Lly+Xhw4fy2muv2bSXKFFC3N3dbd4zMjJS9u/f/6/vCQAAgPQlk70LAIC0xtfXV/r06SM1atSQWrVqyfTp0yUqKkr69u0rIiK9e/cWDw8PCQwMtJkvKChI2rdvL3nz5rVpt1gsMmzYMJk4caKUKVNGSpQoIaNHj5ZChQpJ+/btU2uxAAAAYAKEdABIom7dusnNmzdlzJgxEhoaKlWqVJHNmzcbA79dvnxZHBxsb1Q6c+aM7N69W7Zu3Zrge37wwQcSFRUlAwcOlDt37ki9evVk8+bN4uzsnOLLAwAAAPMgpAPAc/Dx8REfH58EX9uxY0e8trJly4qqJvp+FotFxo8fL+PHj0+uEgEAAJAG0ScdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkwcByADGfykXB7l5AqRlTNZ+8SAAAAkERcSQcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJ2D2kz5o1S4oXLy7Ozs7i5eUlBw4ceOr0d+7ckSFDhkjBggXFyclJXnjhBdm4cWMqVQsAAAAAQMrJZM8fvmzZMvH19ZU5c+aIl5eXTJ8+Xby9veXMmTNSoECBeNNHR0fLK6+8IgUKFJAVK1aIh4eHXLp0SXLlypX6xQMAAAAAkMzsGtKnTZsmAwYMkL59+4qIyJw5c2TDhg0yf/58GTFiRLzp58+fL7dv35Y9e/ZI5syZRUSkePHiqVkyAAAAAAApxm63u0dHR8uhQ4ekadOm/1+Mg4M0bdpU9u7dm+A8a9eulTp16siQIUPEzc1NKlasKJMmTZKYmJhEf87Dhw8lMjLS5gsAAAAAADOyW0gPDw+XmJgYcXNzs2l3c3OT0NDQBOf5/fffZcWKFRITEyMbN26U0aNHy6effioTJ05M9OcEBgaKq6ur8VWkSJFkXQ4AAAAAAJKL3QeOS4rY2FgpUKCAzJ07V6pXry7dunWTUaNGyZw5cxKdx9/fXyIiIoyvK1eupGLFAAAAAAA8O7v1Sc+XL584OjpKWFiYTXtYWJi4u7snOE/BggUlc+bM4ujoaLSVL19eQkNDJTo6WrJkyRJvHicnJ3Fyckre4gEAAAAASAF2u5KeJUsWqV69uoSEhBhtsbGxEhISInXq1ElwnpdeeknOnz8vsbGxRtvZs2elYMGCCQZ0AAAAAADSErve7u7r6yvz5s2Tb775Rk6dOiVvvfWWREVFGaO99+7dW/z9/Y3p33rrLbl9+7a88847cvbsWdmwYYNMmjRJhgwZYq9FAAAAAAAg2dj1EWzdunWTmzdvypgxYyQ0NFSqVKkimzdvNgaTu3z5sjg4/P95hCJFisiWLVvk3XfflcqVK4uHh4e88847Mnz4cHstAgAAAAAAycauIV1ExMfHR3x8fBJ8bceOHfHa6tSpI/v27UvhqgAAAAAASH1panR3AAAAAADSM0I6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHAAAAAMAkCOkAAAAAAJgEIR0AAAAAAJMgpAMAAAAAYBKEdAAAAAAATIKQDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmkeSQXrx4cRk/frxcvnw5JeoBAAAAACDDSnJIHzZsmKxcuVJKliwpr7zyiixdulQePnyYErUBAAAAAJChPFdIP3r0qBw4cEDKly8vb7/9thQsWFB8fHzk8OHDKVEjAAAAAAAZwnP3Sa9WrZrMmDFDrl27JgEBAfL1119LzZo1pUqVKjJ//nxR1eSsEwAAAACAdC/T88746NEjWbVqlQQHB8u2bdukdu3a0q9fP/nzzz9l5MiR8sMPP8jixYuTs1YAAAAAANK1JIf0w4cPS3BwsCxZskQcHBykd+/e8tlnn0m5cuWMaTp06CA1a9ZM1kIBAAAAAEjvkhzSa9asKa+88orMnj1b2rdvL5kzZ443TYkSJaR79+7JUiAAAAAAABlFkkP677//LsWKFXvqNNmyZZPg4ODnLgoAAAAAgIwoyQPH3bhxQ/bv3x+vff/+/fLLL78kS1EAAAAAAGRESQ7pQ4YMkStXrsRrv3r1qgwZMiRZigIAAAAAICNKckj/7bffpFq1avHaq1atKr/99luyFAUAAAAAQEaU5JDu5OQkYWFh8dqvX78umTI99xPdAAAAAADI8JIc0ps1ayb+/v4SERFhtN25c0dGjhwpr7zySrIWBwAAAABARpLkS99Tp06VBg0aSLFixaRq1aoiInL06FFxc3OT7777LtkLBAAAAAAgo0hySPfw8JDjx4/LokWL5NixY5I1a1bp27ev9OjRI8FnpgMAAAAAgGfzXJ3Is2XLJgMHDkzuWgAAAAAAyNCee6S33377TS5fvizR0dE27W3btv3PRQEAAAAAkBElOaT//vvv0qFDBzlx4oRYLBZRVRERsVgsIiISExOTvBUCAAAAAJBBJHl093feeUdKlCghN27cEBcXF/n1119l586dUqNGDdmxY0cKlAgAAAAAQMaQ5Cvpe/fulR9//FHy5csnDg4O4uDgIPXq1ZPAwEAZOnSoHDlyJCXqBAAAAAAg3UvylfSYmBjJkSOHiIjky5dPrl27JiIixYoVkzNnziRvdQAAAAAAZCBJvpJesWJFOXbsmJQoUUK8vLxkypQpkiVLFpk7d66ULFkyJWoEAAAAACBDSHJI//DDDyUqKkpERMaPHy+tW7eW+vXrS968eWXZsmXJXiAAAAAAABlFkkO6t7e38f/SpUvL6dOn5fbt25I7d25jhHcAAAAAAJB0SeqT/ujRI8mUKZOcPHnSpj1PnjwEdAAAAAAA/qMkhfTMmTNL0aJFeRY6AAAAAAApIMmju48aNUpGjhwpt2/fTol6AAAAAADIsJLcJ33mzJly/vx5KVSokBQrVkyyZctm8/rhw4eTrTgAAAAAADKSJIf09u3bp0AZAAAAAAAgySE9ICAgJeoAAAAAACDDS3KfdAAAAAAAkDKSfCXdwcHhqY9bY+R3AAAAAACeT5JD+qpVq2y+f/TokRw5ckS++eYbGTduXLIVBgAAAABARpPkkN6uXbt4bZ07d5YXX3xRli1bJv369UuWwgAAAAAAyGiSrU967dq1JSQkJLneDgAAAACADCdZQvrff/8tM2bMEA8Pj+R4OwAAAAAAMqQk3+6eO3dum4HjVFXu3r0rLi4usnDhwmQtDgAAAACAjCTJIf2zzz6zCekODg6SP39+8fLykty5cydrcQAAAAAAZCRJDumvv/56CpQBAAAAAACS3Cc9ODhYli9fHq99+fLl8s033yRLUQAAAAAAZERJDumBgYGSL1++eO0FChSQSZMmJUtRAAAAAABkREkO6ZcvX5YSJUrEay9WrJhcvnw5WYoCAAAAACAjSnJIL1CggBw/fjxe+7FjxyRv3rzJUhQAAAAAABlRkkN6jx49ZOjQobJ9+3aJiYmRmJgY+fHHH+Wdd96R7t27p0SNAAAAAABkCEke3X3ChAly8eJFadKkiWTK9GT22NhY6d27N33SAQAAAAD4D5Ic0rNkySLLli2TiRMnytGjRyVr1qxSqVIlKVasWErUBwAAAABAhpHkkG5VpkwZKVOmTHLWAgAAAABAhpbkPumdOnWSjz/+OF77lClTpEuXLslSFAAAAAAAGVGSQ/rOnTulZcuW8dpbtGghO3fuTJaiAAAAAADIiJIc0u/duydZsmSJ1545c2aJjIxMlqIAAAAAAMiIkhzSK1WqJMuWLYvXvnTpUqlQoUKyFAUAAAAAQEaU5IHjRo8eLR07dpQLFy7Iyy+/LCIiISEhsnjxYlmxYkWyFwgAAAAAQEaR5JDepk0bWb16tUyaNElWrFghWbNmFU9PT/nxxx8lT548KVEjAAAAAAAZwnM9gq1Vq1bSqlUrERGJjIyUJUuWyPvvvy+HDh2SmJiYZC0QAAAAAICMIsl90q127twpffr0kUKFCsmnn34qL7/8suzbty85awMAAAAAIENJ0pX00NBQWbBggQQFBUlkZKR07dpVHj58KKtXr2bQOAAAAAAA/qNnvpLepk0bKVu2rBw/flymT58u165dky+++CIlawMAAAAAIEN55ivpmzZtkqFDh8pbb70lZcqUScmaAAAAAADIkJ75Svru3bvl7t27Ur16dfHy8pKZM2dKeHh4StYGAAAAAECG8swhvXbt2jJv3jy5fv26vPnmm7J06VIpVKiQxMbGyrZt2+Tu3bspWScAAAAAAOlekkd3z5Ytm7zxxhuye/duOXHihLz33nsyefJkKVCggLRt2zYlagQAAAAAIEN47kewiYiULVtWpkyZIn/++acsWbIkuWoCAAAAACBD+k8h3crR0VHat28va9euTY63AwAAAAAgQ0qWkA4AAAAAAP47QjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMwhQhfdasWVK8eHFxdnYWLy8vOXDgwDPNt3TpUrFYLNK+ffuULRAAAAAAgFRg95C+bNky8fX1lYCAADl8+LB4enqKt7e33Lhx46nzXbx4Ud5//32pX79+KlUKAAAAAEDKsntInzZtmgwYMED69u0rFSpUkDlz5oiLi4vMnz8/0XliYmLk1VdflXHjxknJkiVTsVoAAAAAAFKOXUN6dHS0HDp0SJo2bWq0OTg4SNOmTWXv3r2Jzjd+/HgpUKCA9OvX719/xsOHDyUyMtLmCwAAAAAAM7JrSA8PD5eYmBhxc3OzaXdzc5PQ0NAE59m9e7cEBQXJvHnznulnBAYGiqurq/FVpEiR/1w3AAAAAAApwe63uyfF3bt3pVevXjJv3jzJly/fM83j7+8vERERxteVK1dSuEoAAAAAAJ5PJnv+8Hz58omjo6OEhYXZtIeFhYm7u3u86S9cuCAXL16UNm3aGG2xsbEiIpIpUyY5c+aMlCpVymYeJycncXJySoHqAQAAAABIXna9kp4lSxapXr26hISEGG2xsbESEhIiderUiTd9uXLl5MSJE3L06FHjq23bttK4cWM5evQot7IDAAAAANI0u15JFxHx9fWVPn36SI0aNaRWrVoyffp0iYqKkr59+4qISO/evcXDw0MCAwPF2dlZKlasaDN/rly5RETitQMAAAAAkNbYPaR369ZNbt68KWPGjJHQ0FCpUqWKbN682RhM7vLly+LgkKa6zgMAAAAA8FzsHtJFRHx8fMTHxyfB13bs2PHUeRcsWJD8BQEAAAAAYAdcogYAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCQI6QAAAAAAmAQhHQAAAAAAkyCkAwAAAABgEoR0AAAAAABMgpAOAAAAAIBJENIBAAAAADAJQjoAAAAAACZBSAcAAAAAwCRMEdJnzZolxYsXF2dnZ/Hy8pIDBw4kOu28efOkfv36kjt3bsmdO7c0bdr0qdMDAAAAAJBW2D2kL1u2THx9fSUgIEAOHz4snp6e4u3tLTdu3Ehw+h07dkiPHj1k+/btsnfvXilSpIg0a9ZMrl69msqVAwAAAACQvOwe0qdNmyYDBgyQvn37SoUKFWTOnDni4uIi8+fPT3D6RYsWyeDBg6VKlSpSrlw5+frrryU2NlZCQkISnP7hw4cSGRlp8wUAAAAAgBnZNaRHR0fLoUOHpGnTpkabg4ODNG3aVPbu3ftM73H//n159OiR5MmTJ8HXAwMDxdXV1fgqUqRIstQOAAAAAEBys2tIDw8Pl5iYGHFzc7Npd3Nzk9DQ0Gd6j+HDh0uhQoVsgn5c/v7+EhERYXxduXLlP9cNAAAAAEBKyGTvAv6LyZMny9KlS2XHjh3i7Oyc4DROTk7i5OSUypUBAAAAAJB0dg3p+fLlE0dHRwkLC7NpDwsLE3d396fOO3XqVJk8ebL88MMPUrly5ZQsEwAAAACAVGHX292zZMki1atXtxn0zToIXJ06dRKdb8qUKTJhwgTZvHmz1KhRIzVKBQAAAAAgxdn9dndfX1/p06eP1KhRQ2rVqiXTp0+XqKgo6du3r4iI9O7dWzw8PCQwMFBERD7++GMZM2aMLF68WIoXL270Xc+ePbtkz57dbssBAAAAAMB/ZfeQ3q1bN7l586aMGTNGQkNDpUqVKrJ582ZjMLnLly+Lg8P/X/CfPXu2REdHS+fOnW3eJyAgQMaOHZuapQMAAAAAkKzsHtJFRHx8fMTHxyfB13bs2GHz/cWLF1O+IAAAAAAA7MCufdIBAAAAAMD/I6QDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYBCEdAAAAAACTIKQDAAAAAGAShHQAAAAAAEyCkA4AAAAAgEkQ0gEAAAAAMAlCOgAAAAAAJkFIBwAAAADAJAjpAAAAAACYhClC+qxZs6R48eLi7OwsXl5ecuDAgadOv3z5cilXrpw4OztLpUqVZOPGjalUKQAAAAAAKcfuIX3ZsmXi6+srAQEBcvjwYfH09BRvb2+5ceNGgtPv2bNHevToIf369ZMjR45I+/btpX379nLy5MlUrhwAAAAAgORl95A+bdo0GTBggPTt21cqVKggc+bMERcXF5k/f36C03/++efSvHlz8fPzk/Lly8uECROkWrVqMnPmzFSuHAAAAACA5JXJnj88OjpaDh06JP7+/kabg4ODNG3aVPbu3ZvgPHv37hVfX1+bNm9vb1m9enWC0z98+FAePnxofB8RESEiIpGRkf+x+tTx4N5de5eQ4iIjszzXfBlh3Yiwfp6GdfN0rJ/EPe+6EWH9PE1GWDcirJ+n4bP1dPztPB3rJ3F8tp7uv6yf1GLNn6r6r9PaNaSHh4dLTEyMuLm52bS7ubnJ6dOnE5wnNDQ0welDQ0MTnD4wMFDGjRsXr71IkSLPWTWSW/zfDuJi/SSOdfN0rJ/EsW6ejvXzdKyfxLFuno7183Ssn8Sxbp4uLa2fu3fviqur61OnsWtITw3+/v42V95jY2Pl9u3bkjdvXrFYLHaszHwiIyOlSJEicuXKFcmZM6e9yzEd1s/TsX4Sx7p5OtZP4lg3T8f6eTrWT+JYN0/H+nk61k/iWDeJU1W5e/euFCpU6F+ntWtIz5cvnzg6OkpYWJhNe1hYmLi7uyc4j7u7e5Kmd3JyEicnJ5u2XLlyPX/RGUDOnDn5UD0F6+fpWD+JY908Hesncaybp2P9PB3rJ3Gsm6dj/Twd6ydxrJuE/dsVdCu7DhyXJUsWqV69uoSEhBhtsbGxEhISInXq1Elwnjp16thMLyKybdu2RKcHAAAAACCtsPvt7r6+vtKnTx+pUaOG1KpVS6ZPny5RUVHSt29fERHp3bu3eHh4SGBgoIiIvPPOO9KwYUP59NNPpVWrVrJ06VL55ZdfZO7cufZcDAAAAAAA/jO7h/Ru3brJzZs3ZcyYMRIaGipVqlSRzZs3G4PDXb58WRwc/v+Cf926dWXx4sXy4YcfysiRI6VMmTKyevVqqVixor0WId1wcnKSgICAeN0D8ATr5+lYP4lj3Twd6ydxrJunY/08Hesncaybp2P9PB3rJ3Gsm+Rh0WcZAx4AAAAAAKQ4u/ZJBwAAAAAA/4+QDgAAAACASRDSAQAAAAAwCUI6AAAAAAAmQUgHILGxsfYuAQBgYowzDKQNfFafLq0c8xLSYVcJfVDu3r1rh0oyNutjDmfPni2bN2+2czUpjx0Y/ou0soNPaayHjMG6vbx3756dK0FaEhMTY+8SMqTY2FixWCwiInL9+nU7V2NO1mPefv36yYQJE+xcTeII6bArBwcHuXTpkkyfPl1ERJYvXy69e/eWiIgI+xaWQcQ9yJ41a5YEBARIwYIF012I/WeYsO7A0hvr7y0mJkYePHhg52rSp9jYWGMHv3HjRjl48GCGDavW9bBv3z65du2anatJuri/N2uguHXrlr3KMZ3z58/L9u3bxWKxyIoVK6Rjx47sm5+BdTt8+/ZtefjwoZ2rSX3WCy2Ojo7yyy+/ZMh1YE/W7fL7778vH330Edu0OOIe2x44cEBCQkKkdu3adqzo6QjpsKvHjx/L7NmzJTg4WPr06SPdunWTdu3aiaurq71LyxCsG/NDhw7JtWvX5LPPPhNPT087V5W8VNVYznnz5smwYcNk6tSpcvr0aTtXlrxUVSwWi2zcuFH69OkjNWrUkA8//FDWrVtn79LSjbh/SyNGjJDBgwfLuXPn5M6dO/YtLJXFDbc//vijtGzZUr799lu5efOmHatKOgcHBzl79qysXbtWHB0djZPEN27csHdppjBt2jRp0qSJBAQESNeuXaV3797sm/+FdTu8bt066dmzp/z8888Z6oTpn3/+Ka+//rps3bpVvv/+e6lVq5YcPnzY3mVlCHED6OHDh2XNmjXSq1cvyZs3rx2rMhfrBZrg4GD5+uuvpUePHvLKK6/YuaqnUMDO7t+/r23atFGLxaLdunUz2h8/fmzHqjKG2NhYPXTokFosFrVYLDpv3jx7l5SsYmJijP+PGDFC8+XLpy+//LJ6enpqlSpVdO/evXasLvmtWbNGXVxcdNSoURoUFKT169fXcuXK6ZEjR+xdWroyceJEdXd31127dunDhw/tXU6qio2NNf4/Y8YM/fjjj9XFxUVz586tgYGBeuPGDTtWlzQxMTH64YcfqsViUT8/P7VYLPrNN9/YuyxTqV27tmbJkkU/+OADe5eSZqxcuVKzZ8+u48eP1/Pnz9u7nFR15swZbdSokVapUkWdnJz022+/VVXbfTFS1pQpU/Tdd9/VIUOG2LsUU/rzzz+1Xbt2miNHDu3fv7/RHnffZhaEdNiN9QPx+PFj7dWrlzZr1kxfeuklnTRpkjENQT35Wdd73A3SggUL1GKxaO/evTU0NNRepaWYs2fP6uDBg/XQoUOqqrp7927t2rWrlipVKt0E9Zs3b2r9+vV1+vTpqqr6999/a758+dTX19fOlaV9cQ8wIyMjtX79+vrll1+qquqVK1d0x44dOmjQIB03bpzeu3fPXmWmqnHjxqmrq6uuWrVK165dq2+++abmzp1bJ0+erDdv3rR3eUni7e2tDg4O+vbbb6sqgSLuPqJGjRrq6emprq6uunXrVjtXZn6///67lixZUmfOnKmqT/6WHj9+rIcPH9aLFy/aubqUZf27+e6779TR0VHLly+vGzZsMF7P6J+r1DJ48GC1WCz60ksv6d27d+1djt0lFL537dqlnTt3VhcXF920aZMdqno2hHTYhfVD88svv+ilS5c0NjZW//rrL/Xx8VEvLy+boK6qae6gz6zi7iTv37+v0dHRxu9i9uzZarFYdOzYsfrXX3/ZqcLk97///U+LFSumNWvW1LCwMKP94MGD2qVLFy1dunS6COp3797V6tWr67lz5/T3339XDw8PHTBggPH6tm3b9Pfff7djhWlT3B381q1b9ddff9WGDRvqqFGjdPHixdqlSxetX7++1q5dWytXrqxDhgwx5Rn55HTnzh2tVq2aTp061ab9gw8+UBcXFw0MDLT5rJmR9XcUHR2tXbt21QYNGqijo6MuX77ceD29/x4TYl3mEydO2ITK3r17a86cOXXLli0207NvtnXq1CmtXr26HjlyRMPDw3Xq1KnasGFDzZ07tzZu3Fh37txp7xJTRNyLLrt27dJ58+Zpq1attGnTpvq///3PmI6gnrwSW5+jR49WBwcHXbBgQSpXZC5x109oaKiePXvW+P7XX3/VTp06acWKFXXbtm1Gu5m2+4R0pDrrB2DlypVaoEABff/9940d/fXr19XHx0dr166tH330kao+2dh07txZHzx4YLea04O4G6vp06drhw4dtFmzZtq/f3+NiopS1f8P6uPGjUs3QX3FihXarFkzzZEjh545c8bmtYMHD2r37t01e/bsevLkSTtV+PziXvH6888/tUKFCrpgwQItXbq09u/f37gT5cKFC9qjR494B9h4urifmZEjR2qJEiX02rVrOnLkSK1WrZo6OzvryJEj9aefflJV1b59++rgwYPtVW6qiI2N1cjISPX09NRp06ap6pO7NqxatGihHh4eOnXqVNNuQ6yfm2PHjumxY8f0/v37Ghsbq76+vvGCuqrq5cuX7VZraoq7by5RooROmTLFCOoxMTHaq1cvzZUrl27evFkfPXqkkydP1ubNm+uDBw9MdWBrT5cuXdLcuXNr8+bN1d3dXdu3b6+TJk3STZs2afny5fWrr76yd4nJzvq737Jliw4ePFhv376tqk9OWHh7e2uTJk10xYoVxvTr16/neC4ZxN0/nThxQvfu3au//vqr0TZ06FB1cnKyOUmSkcTdJgUEBGj16tXVzc1N69evr3PmzNFHjx7pwYMHtUePHlqpUiX94Ycf7FhtwgjpsIuNGzdq1qxZNSgoKN6Z+LCwMH3//fe1VKlSWr58ec2TJ4/u27fPTpWmP8OHD9cCBQrojBkzdN68eZo/f3718vIy+tZ+9dVX6ujoqO+9916au1UqsbPKW7Zs0Tp16mjNmjX11KlTNq/9/PPPOnr06DTVtcK687GGI2vto0aNUovFom3btrWZfuTIkVqpUqUMEzaS2/Xr1/WNN97QzZs3G21nz57Vc+fO2UzXpEkTfe+991K7vBSV2Geqa9euWr58eeP76OhoVVUdNGiQVqlSRd3d3XXt2rWqaq4rE3GDaMGCBXXatGn6559/quqTOwTee+89zZQpky5btkxVVSdNmqRt27bNMN0YNm7cqNmyZdMvvvhCIyIi4r3eu3dvtVgs2rBhQ3VxcTG6EGVE1r+lixcv6unTp/X06dOq+mTb4O/vr5988olev37dmL5Jkyb6xRdf2KXWlLZixQrNlSuXvvfee7p//36j/ddff1Vvb29t2rSpTp06VQMCAtRisbAv+o/iblP9/f3V09NT3dzc9OWXX9aOHTsar/n6+qqzs7Nx4jEjmjBhghYoUEBXrVqlERER6uXlpWXKlDGOBfft26c9e/bUAgUK6MGDB+1crS1COlLdw4cPtU+fPurn56eqqvfu3dPffvtNR44cqfPmzdNr167p3bt3devWrfrFF1/EOxBG0sQ9yD558qRWrFjRuOVuzZo1mjNnTp01a5bNPJ988onWrVvXVAfX/ybucu7YsUO3bNli0x9u27Zt2qxZM61Tp45xMPVPaSGox71q0bVrV23RooV27NhRr1+/rjdv3tS+fftqlixZdMaMGfrpp5/q4MGDNUeOHHr06FE7V542ffPNN5olS5ZEB+CLiIjQQ4cOaYsWLbRixYr66NGj1C8yhcT9TO3bt0+PHDmif/zxh6o+ubpcpkwZrVevnj548MD47HTp0kUPHjyo3bp10xdffNEeZf+rTZs2afbs2XXWrFl6584dm9ceP35sDCJXr149zZo1a4YIorGxsRoVFaUtW7bUESNGqOqTffPZs2d12rRpOmPGDGPaoKAgnT59us2toxmNdTu8atUqLV26tFauXFnz5MmjAwcOjHdXVkxMjPr7+6u7u3u6HEju8OHDmi9fvnh3Cdy6dUtVn/TT79mzp1avXl3Lly+fIT5PKeWfx2RTpkzRvHnz6q5duzQqKkqHDRumFovFuLtL9UlQt1gsGhISktrlprrw8HDj/7GxsXrz5k196aWXjJOuISEhmj17dp07d64xjeqTPuoBAQGmOwYkpCPVRUdHa8OGDbVLly4aGhqqAwYM0EaNGukLL7ygbm5u+s4779i7xHShVatWNrc+qapu375dixUrpqpPAnr27Nl1zpw5qvqkT3NwcLCxkUpogLm04P3339dChQppyZIlNWvWrOrt7a2HDx9W1SfB1tvbW+vVq5cmb2+3Wr16tTGKe3BwsFavXl09PDz0zz//1CtXrmhAQICWL19ea9WqpV27dtUTJ07Yu+Q06/bt29q6dWu1WCzGleG41q5dqw0bNtRWrVoZV5PNtqN/HnE/9++//74WKVJEc+TIoc2bNzdGbP7555+1fPnyWqhQIW3WrJlWqlRJS5UqpapPutRUr17ddH1QHzx4oB07dtShQ4eq6pMgeubMGf3oo490xowZxtXjdevW6WeffZYuQ9XTdO7cWQcMGKC//vqrDhkyRJs0aaLFixfXggUL6muvvWZMl9b2Cylh+/btmiNHDuMk95w5c9RisejChQuN9RMcHKzt27dXDw8PYz+U3ixcuFDr1aunqk+2l4sXL9aWLVuqh4eHBgYGqqrqX3/9ZZxIxvO5du2azfdRUVHaqVMno9/5hg0bNEeOHMZTeqzdGFVVP//883R1Ajkhbdq0ifeEohs3bqinp6fevXtXN27cqNmzZ9fZs2er6pNxmb7++mu9dOmSzTxm2n8T0pHiEtqZr1+/XnPlyqXZs2fXjh076uLFi1VVNTAwUL28vGz6OCLpfvrpJx09enS8x0NduHBBW7ZsqZ988olmz57d5sz3/v37tUuXLsaBRFocOGnu3LmaP39+/eWXX/Ty5ct66tQpLVeunNavX9842F6/fr3WqFFD33zzTTtX+3z++usvrV+/vk6ZMkVVnzxOpHjx4jaPElFVY+AuPkvPLrFAGRERoQ0bNtTixYsneHJn3759xrxp/UAoJibG5nO/a9cuLVeunP7888+6Zs0a7dOnj1atWlW//vprVX1yoDN27Fh9//339cMPPzROVPTt21fbtGljuv7Kjx8/1i5duuigQYP0wIEDOnjwYH3llVe0SJEiWq1aNe3atWuGe6xeXGPGjNFatWqpo6OjdunSRRcvXqwRERE6evRobd++velOutiD9e95+PDh2qdPH1VV/eOPP7R06dI6cOBAY7pHjx7p6dOnddiwYfHGQ0nr4n6mQ0JC1GKx6KhRo/Sll17SNm3a6KBBg/Sjjz5Si8WSbk9OpCY/Pz99/fXXVfX/1/2jR4+0bt26unbtWl2/fr1NAI2OjtZZs2bFO7Gc1vdPibl27ZouXrzY2HZbuyc9fvxYK1WqpK1bt1ZXV1fjCrqq6vnz57Vhw4a6evVqu9T8LAjpSFHWjcnu3bs1MDBQfX19dePGjaqqevXqVd21a5fNdEOHDtUuXboQLP6DFi1aaGBgoHE2cNq0aUaf/rCwMK1bt64xOJzV/fv3jdum08pB2Jo1a+L1Ex06dKh269ZNVf//bGhYWJgWKVJEe/fubUy3d+/eNLOccU+WPH78WO/du6fFixfXq1evalhYmHp4eNgcGC5atMgmZJgpIJlZ3L+HLVu2aHBwsG7atMm4pffevXtat25dLVWqlHGHyj/XbVr5m3pWK1as0DfeeEPHjBljtJ0+fVrfeustrVKlinFAGFdoaKgOHTpU8+TJY9q7VQIDA7V8+fLq7OysXbt21aVLl+qDBw/0ww8/jDeeQ3pl/ds9fvy4btmyRVeuXGlsN06fPm2Mdmydrn///tqtWzfjJExGZl0nffr00S+++EKjo6O1UKFC+uabbxqvLV26VNesWaOq6SsYWZfPOvCbdZv36aefqqenp7799tt66NAhY79Vs2ZN3bNnj93qTQ+WLl2q33//vfF3ZO2ic//+fe3evbs2bdpUc+fObTwWVPVJd6QWLVpoUFCQXWpOTS+++KI2adLE+P6zzz7TkSNHGuMeLFmyRAsVKqStWrUyprF27WnSpImprpz/EyEdKe7777/XvHnzaps2bfSNN95Qi8WiI0aMsBnd89ixY+rv76+urq567NgxO1abtg0fPlw9PDyM769du6bNmzfXPHnyGANinDlzRt3c3LRp06Y6fvx4nTdvnjZu3FgrVapkHICZPWxMmjRJW7dubROSYmJitHPnztqiRQujzXqyZ8mSJerh4RFvsBqzLmfcuqzLuGbNGh0zZow+fPhQmzVrph9//LEWLVpUBw0aZPzerl+/ru3atdNVq1bZo+x0wc/PTwsUKKCVK1dWV1dXrVevnnHV+N69e1qvXj0tW7Zsuuvj36dPHx01apSqPvn7u3z5sjZr1kxz584d7y4Na1CvUaOGcUeH6pO7OmbMmKE1atRIsP9+arN+do4cOaJr167VoKAg48Te6dOnjbE5rJ+3IUOGaMeOHTPMSeLly5dr3rx51dPTUy0Wi3p5eRndn6wuXbqkfn5+mjt3btOedLGXCRMmaMGCBdXd3V2HDh1qs/987bXX1NfXN13dlWH9PG3atElfe+01bdKkib777rt6/PhxVVWNjIy0md7f319LlSplM3gekqZGjRrarl07I0h+9913WqlSJb1w4YKqPrmLK3v27Fq3bl29deuWPn78WMPDw7Vly5Zar149UwfQ5DBz5kwtV66c8X10dLROnjxZ3dzcdNKkSXrz5k2NjIzU0aNHG09d6NmzpzZo0MDmmNes64mQjhR1+vRpLVasmHFb9b179zRz5szGwDSqqkePHtXevXtrxYoV092Bb2qKjo7WgQMH6htvvKGqqhMnTtSQkBA9duyYdu3aVd3c3Iwr6idPntSePXtqxYoVtUmTJtqvXz/jLG1aOetvrfPw4cPGo57WrFmjWbNm1W+++cZm2sWLF2uVKlXiDRJlRtbAcPz4cWPguyNHjqi7u7sGBwfr/fv3jcHgWrZsaTPviBEjtFKlSnrlypVUrzs9WLx4sRYoUEB//vlnjYmJ0SNHjuibb76p1apV04ULF6rqk1vfy5Urp127drVztcnn77//1mXLlsW7Srpnzx7t0KGDFi1aNN7owGfOnNEePXro66+/bnOy7Nq1a8aAUWawfPlyzZMnj1auXFlz5MihZcqU0Xnz5tk8ueLChQs6fPhwzZkzZ4YZv+Hw4cOaN29e/frrr/XWrVt69epV7dWrlzZo0MC4Irdlyxbt1q2bVqxY0RQnXewl7ijuJ06cMNZFRESE8ag16zb3wYMH6u/vr4UKFUp3t7irPtnHOjk5qa+vr/bq1Uu9vb01R44cun37dmOaLVu2aN++fTVfvnzc6v4fbN26VcuWLWv0RQ8PD9dVq1Zpw4YNtVGjRsagymvXrlVnZ2etXbu2VqlSRevVq6dVqlQxfQBNDkuWLFF3d3e9cOGCjhw50jj+nTBhghYuXFgnTpyoERERev/+fd22bZt27NjR6IqRFo55CelIUfv379cGDRqo6pP+H/+8Ndd6ZfPgwYPGY3Dw/L7++mu1WCzasmVLtVgsxtnWEydOaOfOnW2C+v379/XevXs2dzSYeWNlFXeHs3btWs2TJ4/Onj1bIyMjjdFNS5QooXPnztWoqCi9du2atmrVKt6VdzOyBvSjR49qpkyZdN68eXrmzBn95JNP9N133zWmCw0N1QYNGqiXl5f6+/vr/PnztX///urq6sqJrv9g5MiR6u3tbdP222+/aefOnbVr167G3969e/fSzYHPPz8Tc+bM0bZt2xrte/fu1U6dOmmjRo105cqVNtNevnzZ+Js1410pR48e1fz58+uCBQs0PDxcHz16pL1799aaNWvq119/rY8fP9Zdu3Zp8+bN1dPTM0N9dr777jt98cUXNTIy0vhdX7t2TXv06KENGzY02tavX5+hT/rFfWRf5cqVtUSJElqrVi1t3ry5RkdH66ZNm7R+/fqaJ08e45ngbm5u6TKcRkREaIMGDXT8+PFG26VLl3TgwIHGXZD379/XuXPnardu3bjz4j/atm2bWiwWPXTokL755pvavHlzffToka5Zs0abNGmi9evXtznGmzFjhgYEBOiiRYuM/VNaOKb7L06ePKldu3bVEiVKqIuLi168eNF4bfz48erh4aETJ040xuj5J7PvxwnpSFZxHw+1f/9+3bNnj5YoUUL37dunJUqU0IEDBxofih07dmirVq0I5/+R9VZcq8qVK2vmzJn1ww8/tGm3BnV3d3f95Zdf4r2P2QOsasJBoFevXlquXDmdO3euRkdH65UrV9Tf31+dnJy0cOHCWqZMGa1WrZrpb+WPewU9a9asOnLkSI2NjdUXXnhBLRaLdujQwWb6P//8U318fLRGjRparVo17dSpU4a5CpjcrOs+MDBQa9eurbdv37Z5fdmyZZopUybj8WNWZt/BP4t/fh6++OILrVixovbp08fm8TSdOnXShg0bJtiVwqyfqVWrVmnZsmU1NDTUqDE2NlZfffVVrVixorFNCAkJyTBB1Po7XbRokZYuXVpDQ0NV9f8P5s+fP68Wi0W3bt1qtxrNJiQkRF1cXHTOnDkaHh6uS5YsUYvFot99952qPrnC/sknn+iwYcP0888/N4JTenPjxg318PDQ+fPnG22xsbH6xx9/aJMmTXTs2LGq+qTP9D/Hi8Hz8fHx0ezZs6urq6vRrUD1yRNerEHdekX9n/uj9LB/SsgHH3ygP//8s/F9p06dNFOmTFq9evV4TzQaP368FilSRCdNmmTT3TEtHO+qEtKRAnbt2qXZsmXTb7/9Vm/evKmtW7dWFxcX7dGjh6r+/4djxIgR2rhxYx7J8R+sWbNGq1atqo8fP9bHjx/rhQsXtG7dujpw4EB1dHTU2bNn2/SvPHHihHbt2lUtFkuizwo3q7hB4H//+59u3rzZ+L5fv35aqlQpnTdvnnFnwKlTp3TJkiW6YcMG059Vti7bqVOnNG/evMbgd6pPfmfVq1fX0qVL65YtW2zme/z4sT569Ejv37+frvo+pqTY2NhEQ+W6devU2dlZ582bZ3OAs3v3bq1atWq8MQ3Sup9//tlYpnfffVfnzJmjf//9t86ePVurVq2qr732ms3gn126dNEKFSrYPIPXjKw1f/fdd1q4cGHjsWr3799X1SdXBLNmzaorVqywW4329ttvv2mWLFk0ICDApv2PP/7QihUr6oEDB+xTmAl9+OGH+t5776mq6pUrV7Ro0aI6ZMgQO1eVeuIGmlatWmm/fv1suouoPnn8VadOnVK7tHSnadOmNiOy+/v7q8Vi0ezZs8e7uLJ69Wpt2rSpza3v6d2JEyf09ddft7lV/c0339SZM2dq+/bttUGDBvG2XRMnTtTMmTPH6waZFhDSkawuXryo/v7++tFHHxltX331lVaoUEH79OmjJ0+e1IMHD6qfn5/mypXL5swgku7Ro0dG4LAOgmR9NubYsWPV0dFR58yZY3NL++HDh3XUqFFp6ixr3IOEDz74QEuVKqWffPKJcRVIVfX111/XUqVK6dy5c+NdCVU171ll6+/vyJEjmjVrVs2ePbu+8MILumPHDuMEy2+//aYVKlTQVq1a6e7du+PNi+ezYsUKDQoK0qCgICPATZgwQR0dHY2nIly6dEmbNWumjRo1SjfrOyYmRsPDw9VisWjXrl21X79+NoN2RkVF6ZdffhkvqIeEhKSpbcfNmzc1b9688Qa+u3TpkpYvX97YZqZn1t/diRMndM2aNbp582bjroHg4GDNnDmzjho1Ss+fP683btzQUaNGadGiRfXq1av2LNuurJ/zixcvamxsrPbo0UPff/99DQ0N1cKFC+vAgQON9bp48WKbR5mmF9bli4mJsfm8T5kyRStWrGh0J7N69dVX1cfHRx8/fpxmrlKazY0bN3TatGk2J9yDg4P1wIED2q9fP82ZM2e8E6Rr1qxRT09PHTx4cGqXa3dLliyx2YavWbNGW7VqpQ0bNowX1IODg9PMfisuQjqSzalTp7ROnTparFgxm0dBqKpOnTpVGzVqpA4ODurp6anVqlXL0APRJLdDhw6pxWLR0aNH27SPGzdOHR0d9auvvrIJ6lZpbaMVGBio+fLlM/rV/1P//v21bNmy+tlnn9kcQJjdsWPH1NHRUSdOnKiqqi+99JIWL15cd+zYYeywT5w4oeXLl9fWrVvb3OqFZ/POO+/YPIZv6NChmjt3bi1XrpwWKVJEixYtauzwJ0+erEWKFNE8efJohQoVtFatWqbvLvE8Ll26pFmzZlVnZ2fdtGmTqv7/wbk1qFerVs3m1ncrM2074j5ObNmyZbpp0ybjhMPy5cs1R44c2rdvX7169apevHhRAwICtHDhwhnmFvfly5erm5ubli5dWosXL665cuUy7kT69ttvNVu2bFq0aFF94YUX1MPDQw8dOmTniu3DeqJO9UkfdC8vLz158qTOmDFD27dvrx4eHsYJn9jYWH3w4IG++eab6u/vn+D+Na2yfp42b96sr776qjZq1Ejfffdd/e2331T1yVMQKlasqN27d9dPP/1UBwwYoDly5Ih3qzGe3+TJkzU4ONj4/q+//tJevXppzpw5451c3LVrV7raLyUm7vgnly9f1ooVK2qLFi2MxzqrPrkbrlWrVtqoUaME7wYy037rWRDSkazeeecdzZ07t7Zr1y7eSNqRkZHGlanw8HA7VZg+JPSIrtmzZ6uzs3O82xfHjx+vTk5O+umnn6bZZ9zGxsbqrVu39JVXXjF2XH/88Ydu2LBBu3Tpor6+vsbtT+3bt9du3bqlmbP5UVFR2r59+3gnWBIL6pUrV9b69esneqIC8d27d08DAgK0UqVKOmzYML1w4YI2bNhQjx49qrdu3TK65RQoUMC4u+fEiRO6d+9e3bFjh/F5M2t3iaSIuywnTpzQXLlyqbOzs/bs2VN///13m2nv3buns2fPVnd3d2OwKLN+rlasWKH58uXTihUrapEiRdTDw8PoM7xq1Sp1d3fXggULaunSpbVo0aIZJogeOnRIXV1ddd68eRoWFqanTp3SQYMGadasWY1noZ87d043btyo69atS3ddOp7V0aNHtUmTJnr//n0NDQ3Vhg0b6qxZs1RV9ddff9WSJUtqsWLFjJM/9+/f15EjR6qHh0e6HcU9S5Ys2q9fP3333Xe1ePHiWq9ePeOJI59//rl27txZX3zxRW3dujWPzv2P4h7T3b17VwcNGqTOzs42t2hHRERor1691NXVNcG7gNJaAE2KuOvHuh/euXOnNmrUSNu0aRMvqLdt21ZffPFF48RSWkVIx3NL7GDtgw8+0AoVKui4ceOMR2Mh+cTdWC1evFg3btyo9+/f15iYGJ07d65mypQpXlB///33tX79+qY9wE5IQmeGGzdurG3bttUNGzZo69at9aWXXtIuXbpojhw5bG5pjTtIVFpw6dIl4/9xT6QkFNSPHDmiXl5eGfZg+nndvn1bp06dqlWqVNFmzZpps2bNNCoqyuZvpHHjxlqjRo0E508PB0BxP1NxQ+rp06fVxcVFu3TpEm9wPNUnBz1mXv6jR49q7ty5dfbs2Xr37l09fvy4jho1Sh0cHIxH5925c0fXr1+v27dvz1CDlS5fvly9vLxs7iyKiYnRAQMGqLu7u/F4p4zs6NGj6uTkpBMnTtSffvpJ+/Xrpx06dLC50+LAgQOaL18+rVu3rlavXl3btm2rBQoUSHejuFtPiNeuXVsnT55stIeGhmqbNm30pZdeshkYLzIyMl3dRWAPcbfL1q56169f1+HDh2uOHDl0wYIFxusRERHap08ftVgsGeZpFHHXz7Rp0/Ttt9827nrZs2eP1q9fP15QX758ufr5+Zl6v/UsCOl4LtYD23379umnn36qX3zxha5fv9543dfXV6tVq6bjx483gnpaCUxm9s++2e7u7rpgwQK9ceOGqqo+fPhQv/rqK3V0dIwX1K3zpoXfQ9yN8tq1a3XHjh2q+uTWzHr16qmLi4uOHDnSOJs8btw47dq1q83BQlq4/Sux30XcK7bWoL5z505j+RgkLmms6/nWrVs6ZcoUrVChgpYqVcp43dr3f8uWLVq0aNE0N6jis4j7eRg1apTWqVNHFy5caIzCfPjwYXVxcdHu3bsbgxC1bdvW5gDRDAc8cT8z1v9///33Wr16dZsgeufOHR0xYoSWLl06Xf4+n1VwcLA6Ozsbg+dZf4cHDx7UIkWK6N69e+1Znt399ttv6uLiYjwNZe3atWqxWDRTpkzG3UrWz85vv/2mX331lQ4ePFi/+uorPX/+vN3qTklRUVFasWJFo6+99cRxWFiYenh4xHtyDJ5f3O3yxIkTtX///ka3gStXrqifn1+8oP7XX3/p+PHj08WdXUnh5+enhQsX1unTp9ucKNq1a5cR1K3dtuIyw37reRHSkWTWA6MVK1Zojhw5tH79+lqpUiXNlCmTzbOchw0bpl5eXjp8+PB4t77jv5k6daq6u7vrgQMHbA5arRvt2bNna5YsWWx+H6ppI6D/80REmTJldNasWRoVFaUPHjzQe/fuxXvETaNGjXTo0KGpXWqKirsDbtSokebMmdPoi54Wfo9mkNCJmhs3bujUqVM1V65c2q9fP5vXdu7cqUWLFtVTp06lVompbuTIkZovXz7dtm1bvBOoBw8eVFdXV/Xy8tLKlStruXLlTNNF5mkn3VavXq0uLi5GGI97EtnNzc1msMX06vz58zp27Fj19fXV5cuXG+2///67Vq9eXd977z29deuW0X7x4kUtVaqUcQI0Izp27JjmzZtX8+TJY9MfPSQkRB0cHLR3797p/k6DyMhIvXz5ss1TYCIiIrRChQr6/vvvq+qTz551O9CnTx/t0qWLXWpNz6wXXb755hu9fv260X716lV97733NGfOnAmOTp5RgvrChQvVzc1NDx48aLRFR0cbJx8PHjyoDRs21JdeeildnXgkpONfJXRwdO7cOS1YsKAxQNzt27d16dKl6uLiYjyqRFV14MCB2qhRIx6zloyio6O1Q4cOOmbMGFV90jd77dq12rp1a+3fv7/xrOxp06aluVvc45o0aZLmz59fd+/eneDfYGRkpP7000/q7e2tlStXTpc7q7jL1Lx58wzzmJXkEPdugwMHDugvv/xijFh969Yt/eSTT7R06dLas2dPPXv2rP7yyy/avHlzrVOnTpq4C+N5HDlyRMuVK2eE1r/++kt/++03/fzzz42DnxMnTuiYMWNsrtTY+7Nl/X2cP39eR4wYoe+++67N4KSnT5/WmjVrqr+/v82t7Ddu3NDy5cvHe3RhenP06FEtWLCg8dxkZ2dnI6jHxsbq6NGjtW7duvrOO+9oWFiYMYp7iRIl0n0ITcyRI0fUxcVF33jjDS1ZsqQ2a9bM5mkh69evVwcHBx0yZIhNe1rdnybk5MmTWr9+fS1XrpxWqFBBt27dary2cOFCdXBw0KCgIJt52rZtqz4+Pqldarq2Zs0adXd3t+k6cevWLT19+rRGRUXp/fv31c/PTy0WizEmQEZh/byNGjVKu3fvrqpP9lEzZszQihUrauHChY07Pn788Ud966230tX+m5COp7L+sR8/ftzmudT79u3TF154Id7ouIsWLdKsWbNqSEiI0RYWFpY6xaZTcTc41jPabdq00VdffVVnzJihLVu2VG9vb23VqpU2adJE27Rpow8fPtSHDx+mqVvc47p586bWr1/fOHN86dIl3bp1q/bt21dHjRqlqqo//PCD9urVS1u3bm2c5bd3mHheT/v9pNVlspfevXvbPE92+PDhmidPHi1atKi6u7sbXSRu3bqlU6dOVVdXV82RI4f26tVLX3/99XQ5irvVuXPntESJErp27Vo9duyYvvXWW/rCCy9omTJl1GKx6P79+1U14UF67MVay9GjRzV//vzaqlUrbdCggZYuXVpnz55tTDdhwgQtX768+vn56dGjR/XGjRs6fPhwLVy4cLp+nNixY8c0a9as6u/vr48fP9br169ry5Yt9bPPPrMZDXnSpElavXp1dXBw0KpVq2rBggUzzOB5//Tbb79p1qxZdcSIEcb3hQsX1mbNmtkcr6xbt04dHBx06NCh6e5kxtGjRzVHjhw6ZMgQ3bRpkzZp0kTLlStn83SHDz/8UC0Wiw4ZMkQnT56sPj4+mj17dkZx/4/+ub9fuHChNm7cWB8+fKgnTpzQCRMmaIkSJfSFF17Qbt266Z07d/TPP//UL7/80u7b49QQd/9j7eI3d+5ctVgsOmzYMK1QoYJ27txZP/30U3333XfVxcUl3uczvey/CelIlPWP/NixY2qxWIzRfVWfhHZHR0cjjFs3OlevXtWSJUsag/Xgv4m7oVm2bJlxBWzFihVav359Y9Rla9+5sWPHaqdOnWzeI60FdNUndwu8/PLL2qdPH127dq22b99e69atq61atdLs2bOrr6+vqj75O0xLI29bfxdnz57VU6dO2dy2n152KvZ0+/ZtbdCggebNm1dPnDihx44d05IlS+rOnTv1xx9/1H79+qmTk5OuXbtWVZ9cSf7000/Vw8PDePydatr4W/o3Cf09Xbp0STt27Kjly5dXZ2dnHTx4sK5YsUIjIiK0WrVqOmXKFDtUmri4+6CsWbPqyJEjVVX12rVr2qpVK506darN9FOnTtXatWuro6Ojenp6aqFChdLdwF5xXbhwQXPlyhXvOfCtWrXSV155RevUqaMDBw40Bpi6efOmfv/99/rDDz9k6IEnFy9eHO9vJ7Ggvn79erVYLOliECqr48ePq4uLi824NadOndIGDRrogQMH9Pjx40YXxSVLlmjNmjW1Tp066u3tzSju/9E/R3FXfdJdx2KxaPfu3bVgwYL62muv6ezZs3X27NlavHjxeAPEpYf9U2Lirp+ZM2eqv7+/RkZG6u3bt3XKlCnq5eWls2bN0rNnz6rqkycv1K1bVy9evGivklMUIR0Jsn5Qjhw5olmzZjWuXlpFR0dr69attWPHjjZn4x8+fKg1atSweb4jnk/ccD18+HAtWLCgBgUFGf0Kw8LC4p09bN68ebx+tmaXWDidPn26vvTSS+rk5KQjRozQn376SVVV33vvPZvnXT/tPcxo+fLlWrhwYXV3d9fatWvr559/bryWlpbDrK5du6YdO3bUvHnz6vTp03XChAnGa3///bcOGTJEnZycdN26dar65JboRYsWGQfgafGk1j/F/Ts6cuSIhoSEGNuKGzdu6ObNm3Xnzp3GdA8ePNCaNWuacrt97tw5zZ49e7wg2rlzZ61bt67WqVNHO3bsaISHK1euaEhIiP7444/pfhR3az9NX19foyvMpEmT1NnZWYcNG6YjR47UnDlzar169Wz6oyNhiQX1zZs3p/lHOVlFRERozZo1tUiRIjbtfn5+6uzsrCVKlNACBQpo3bp1jYHxrE/BiDswI5Iu7nb5o48+0gEDBhgny7755ht9++23deHChca2+vr161q5cmXds2ePXeq1p/fff18LFiyoc+bMsQng1r/B2NhYffjwobZo0UKbNWuWLvbbCSGkI1GnT59WJycn/eijj2za161bp3fv3tXVq1drgwYNtE2bNrpu3To9efKkfvDBB5o/f/4EH+OD5zN58mQtUKCAHjhwwGYQJ+sG//bt27plyxZt2bKlVqxY0TjLmhY2WnF3WsHBwfrOO++oj4+PLlu2TFWfnGn+Zz/shg0bGlfS0wrr7+L69etatmxZDQoK0nXr1qmfn58WK1bMJkgS1J9P3PV27do17dy5s1osFuOklfV3YA3q2bJl0//9738275EerpT98+Re0aJFNV++fFqwYEHt3r27zZWw+/fv6/nz57Vly5ZavXp1U16h2bp1q2bOnFmHDRtmDAwXGBhonLwbN26clihRQqtUqaKRkZF2rjZ1xP0df/XVV+rp6akffPCB+vr6av78+W364O/YsUMtFotxUgpPZw3qLVu2tBnAK72IiIjQL7/8Uj08PPTNN99UVTW6/SxZskQvX76sX331lRYvXlyHDh2qDx48SFcnMM3Az89PCxYsqF999ZXNHS1xxwC5d++etmjRQhs0aJDhjgmCg4ONgZGtYmNjjUHi/v77b128eLE2atRIq1Spkq67qBHSkaC///5bu3fvrnnz5tUff/zRaJ84caIWLlzYGP145cqV2qVLF3V0dNTy5ctrmTJl0vXthantwYMH2q5dOw0MDFTVJ7erbtq0STt06KD+/v565MgRPXfunDZv3lw7deqUZvtm+/n5qbu7uw4bNkwHDRqkuXLlshmt/d69e7p//35t1qxZmh0kbs+ePfr+++/rW2+9ZdR/7do14zNFUE9eV65c0ddee01z5sxp3O1jPch88OCBvvrqq9qoUSN7lpiiZs2apfny5dMffvhBr1+/rl9//bW2bNlSGzdubAwuOXv2bG3ZsqXWq1fP2HaY8UTFihUrtHDhwurn56e+vr6aN29em0Gu9u/frxaLRRctWmTHKlPfpUuXVPXJ77F8+fKaNWtWnT9/vqo+2YbExMTokSNHtEyZMsZYDPh3p06d0qxZs2rHjh3T5bb4zp07On/+fM2fP796enpq/vz5443yb32kFZLXypUr1c3NzeYO1IiICL106ZLxtI2xY8dqo0aNtHr16uk6gCbG19dXe/bsqapPbmf/8ssvtWrVqlqiRAn93//+p+Hh4frZZ5/p4MGDTTO4aUrJJEACnJ2dZeDAgRIdHS0TJkyQ7Nmzy759+2TatGmyaNEiKVeunIiIdOjQQVq3bi0XL16UmJgYyZs3r+TPn9/O1acPqiqPHj2SsLAwOXfunAQHB8vq1avl3r17YrFYZOfOnRIWFiZBQUEyY8YMKVWqlDg4OMjjx48lU6a089H+4YcfZMWKFbJq1SqpXbu2/O9//5Nvv/1WKleubEwTEhIiCxculEyZMskvv/wimTJlkpiYGHF0dLRj5c/u/v37snjxYlm0aJFUqlTJ+P0ULFhQ3njjDRERCQoKkvv378ukSZPEwcHBnuWmKbGxscb6mjJlivz+++8yffp0KVy4sEyZMkXu3bsnr7zyimzfvl0qV64sqipOTk4SHBycZv5+kkJVJTY2Vn7++Wd59dVXpUmTJiIi0q9fPylUqJBMmjRJli1bJhUrVhQvLy/JkyePdOrUSRwdHU237VBVsVgs0qlTJ4mJiZF33nlHwsPDZc6cOfLKK68Y0zk7O0uZMmWkYMGCdqw25f3xxx/i5+cnK1askDVr1sjw4cNl48aNMmjQIMmcObNMnz5djh49KmfPnpUXXnhBRES+//57yZw5s5QpU8bO1acd5cqVk6NHj4rFYkkX2+I///xTfvrpJzl16pQMHz5cXF1dpWvXrmKxWGTChAlSpUoVadiwoYiIPHz4UJycnMTDw0Py588vjx8/FkdHR7FYLHZeivTh5s2bUrlyZalWrZqcOHFC1q9fL/PnzxcRkRYtWsikSZOkUqVKcvfuXZk8ebJkypTJdNvllGLd3hcvXlwWLlwow4YNk59++klKlSol7dq1k/DwcOnXr59cvnxZBgwYINmyZRMRkZiYmPS7fux6igCm99NPP2m7du30hRdeUCcnJ+P5g7GxsWl25HCzSuxM6fLly7V06dLq7u6uAQEBxuBx77//vnbs2PGZ3sNM/lnjd999p3Xr1lVV1e+//15z5Mihc+bMUdUnt7vv2bNHY2Nj9ZdffklTg8Sp2n42jh8/rkOHDlUnJyfjkSFW169f15EjR+qLL76oN2/e5DP1jOL+LR0+fFh9fX3VYrHo6NGjjSsQ165d03bt2mnevHn1+PHjqmr7e0kLn5nn8eqrr2qXLl3i/S0NGzZMX3jhhXifITNeQf+nNWvWaKFChdTHx8emj/Do0aO1fPny6XoUd1XVTZs2qYeHh9aoUUMtFosuXrzY5vWZM2dq1apVdfDgwXr16lWjf/qRI0fsU7AJZbRt64kTJ7RatWo6YMAA9ff3t3nt9u3bGhwcrG5ubjpgwACj/cMPP9S8efMad0zi+ST0t7Zy5Uq1WCz6+uuva5EiRbRnz546e/ZsnTx5shYqVEjPnDljM31a2C4/r8T2vWfOnNGxY8dq1apVdcaMGUY3p927d2u9evX0xo0bqVmmXRHSkaC4G5ddu3Zpq1attGrVqvrDDz8kOA3+m7gbq5CQEF2yZImuX7/e6INz6dKleIMgNW/eXAcNGpSqdSan4OBgPXbsmK5Zs0Z79uypS5cu1ezZsxsBXfXJQemQIUNsNsppIVTFfYxN3HEEfv/9dx08eLCWLVtWv/76a5t5QkNDNTw8PFXrTC/8/Py0TJky6uPjo/Xq1VNHR0cdNmyYTbeCjh07qsViMQZDSi8S+zyMHTtWCxcuHO8xW999953+X3v3HdDT/v8B/HUaGioZaZIUFWlKGkZmRhnJiFxdMxJRyrxWhIvsPUK4rjKyr61s1957JyuiXc/fH/0+59tH3OHi0+fT6/HP93bO+Xy+7/Nxzvuc13u83u7u7mLdUtJI7p0LFy5g9+7d+P3336XWvN+4cSOMjY0RFBSER48eYeLEiVBTUys1gejYsWMhCAJsbW3FbZJlioDCaQ716tUTM/gXXY6wtJFcS3fv3sWZM2dw69YtqfpY0V29ehW6uroYM2aM1LMlLi5ODAbT0tLEQD0kJATR0dFQV1cvtcvzfStF62VJ/SW5HpcvX47u3btj1apV4pz058+fw8HBAWfOnPnxhZWBT/MRjR07Fv3798etW7fE3+nDhw/iMTk5OWjVqhVat25dqmIPDtLZFxW9EY4ePYp27drB09MTu3bt+uwx7Ot8mujJwsIC5ubm8PDwQJMmTcR5SkDhA3XPnj1o27YtateuLbdJ4qZPnw4dHR3cvHkT586dQ7ly5SAIAubPny8ek5GRAS8vLwQGBsrF+UlIyrpjxw40b94c9evXR9OmTcUREA8ePMCgQYNgaWkpzh9l/9yn18K+ffugo6OD5ORkAIX5NNauXQtVVVWEhoaKL0iPHz9GZGSkQvVMFL2nTp8+jVOnTkllApasJ3748GE8e/YM7969Q5MmTdChQwdZFPdvSf5tJfM2nZycoKmpidatW2P//v3i/o0bN4rrCJctW7ZUBKKSf+tVq1YhPDwctWvXRrNmzcT9GRkZ4n8vWLAANjY24siR0qjotWRqagpLS0uUL18e4eHhpeJ3efPmDRo0aCDVQw4UJl0UBEGqpzwtLQ2xsbEoW7YsBEEoFffT91S0Xl6wYAH8/f3h6+uLefPmiQ1qkvs1Pz9ffNdp1KiRXHRCfEsRERGoXLky/P394eLiAgsLC6xevVpsRE5PT8fmzZvh6ekJOzu7UjdHn4N09peKvhBLhr43b94cW7dulWGpFNOMGTNgaGgoTimYPHkyBEGAo6Mj3rx5AwA4c+YMGjduDB8fnxKd6OmvXLlyBRMmTMDmzZvFbZJ1QsPCwrB9+3bs378fzZo1k0oSJ0+B+o4dO6CqqorIyEhMmzYNLVu2hL6+vth7fvPmTQwZMgR6enpYu3atjEsrP7p161bsBfv3339HjRo1pFrdAWDx4sUQBAHjx48vdg3Jy3SJf2rEiBGoVq0ajIyMUKFCBXTt2hVpaWnIyclB06ZNUbVqVRgZGcHBwQG2trZi3VFS7qlPRxJVqlRJvFcuXLgAQRDQtGlT7N69Wyzzhg0bYGFhUSrXbc7Ly8P27dthaWkpFagDENdULi2Z7v/Knj17oKuri7lz5wIoXNazXLlyCAgIkOopLin3wbd04cIF1K5dWyrx7+bNm1GuXDmsXbsWPj4+qFy5sjht5M2bN1i/fr3CjTT60T7tdNHT08Mvv/yCvn37wt7eHj///LMYqKenp2PWrFlo3LgxHB0dS00AKvmNFi9ejKpVq4qjoI4ePQpBEFCzZk0sX74cHz9+xMOHDzFx4kT0799f4ZPEfQ4H6ayYTx9Ynw599/T0hI+PT7GXYvbPLVu2TGqN84cPH8LHxwfx8fEAgF27dkFLSwvDhw9HnTp14OzsLPao37hxQ+7mZkscO3YMgiBAXV1dXGZNIi4uDpaWlqhcuTJcXFzkpiHi0/lRGRkZaNGiBcLCwqS2BwUFoXLlyuJwtosXL2LEiBH8UvQvdO7cWWroMwAkJydDSUlJzE4sqa8kQz0FQcCoUaN+eFl/lLlz56JixYo4fvy4uCZ65cqV0aJFC/GYxMRErF69GuvWrRPvpZJQd6xevVoMsiU9SiNHjkRkZCQA4M6dOzA3N4e/vz9q1aoFe3t77N69W6z/FP0ZJLmWz549i6VLl2L58uViUJWRkYHExERYWVmhSZMmePHiBcaMGSPmtSjt3r9/D39/f4wZMwYA8OjRI5ibm6NRo0YwNzdH586dxQYNRSKpHzds2ABtbW1xBQCg8PkraeRMSUlB27ZtoaGhIS41p4iNFbKydu1a1KxZU3zeJyQkoEyZMjAzM0PXrl3FQH3dunUYNmyYwgeggwcPxooVK8S/P3z4gF9//RULFiwAUJiPqFy5cli+fDk6d+6MSpUqYcWKFcjKysLHjx/Fa7Mkvwt+Dxykl3KSC//evXs4e/bsF+drFa28jx8/jsePH/+Q8imiM2fOQBAEDB48GC9evBC3b926FY8ePcLp06dRpUoVLFq0CEBhEhdBEGBsbIy0tDTxeHlobf1cGWfNmgVBEDBy5Mhi11tqairu37+PZ8+eyUWv57hx4xAWFiYVOGZlZcHZ2Rm//vqr+LeEpIFLojTNj/wvPn0wL1y4EEePHkVubi4yMzPRuXNnNGrUSBzyDhTOQw8KCsKKFSugrKyMPXv2/Ohi/xCBgYEYNGiQ1La7d+9CW1sboaGhn/1MSXjRuXv3Ltzc3ODk5ISrV68CKLwfjhw5ghs3biAtLQ316tUT17k/d+4c1NTU4OrqKq4DrshBheTc4uPjYWRkBCcnJzRs2BCVKlXCsWPHABRO7dizZw8sLS1hZGQEExMTqbWFSxvJb3b79m28ffsW+/btw82bN/H69WvY2NiI19LMmTOhra2N9u3bK9Tc61u3bmHs2LEAChvmBEEQr5XPiYuLg729fbF8N+zf8fX1RXR0tNS2FStWiA31W7duRYUKFRATEyOuSd+7d29kZmZKfaYk1Mvfw8OHD+Hn54datWph48aN4vYLFy7g+fPnuH37NmrVqoXZs2cDAK5duwYNDQ3o6+tj+/bt4vGKXN9/CQfpDPHx8dDX14ehoSGsrKywZcuWz/ZQlMYb5FuT/Ibbt2+HiooKgoODpXrUASA6Ohp+fn7inKVly5ahc+fOCAsLk6tKvOj1smbNGqnETlOmTIGSkpJUkrjPKekNEb/99pu45vTHjx/F7S1btpRag1sSqIeHh8PLy+vHFlIBmZqawtzcHKdOnQIAHDx4EN7e3rC1tcWyZcuQmJiIFi1aoHnz5khJSUGNGjXEFwBFkZubi7y8PDRo0ADdunUTt0uutenTp8PJyQlv3rwpsfXGrl270Lp1a7i4uIg9fJIX1507d8LBwQG3bt0CAOzfvx+enp5o3LgxHjx4ILMy/0iHDx9GpUqVsHTpUgD/a+DV0NDAzp07ARS+2L9+/Rp79uzhxnMUDunW1dXFpUuXxEbtpUuXomHDhuKop9jYWNSqVQutWrVSqBUBxo4dCzMzMwCFw9ednJzg4OAg9qZLGpMlz9WhQ4eiY8eOSE9Pl02BFcTYsWOhoqIi9gpLPH78GC9fvoSjoyOmTZsmbqtatSp0dHSKZdtXZJcvX0bfvn1hZWVVbFWKXbt2wdbWVkxmeOTIEQwYMAC//PJLiX12/SgcpJdiBQUFePr0KRwdHTFv3jxcvHgRHTt2FOeDcMX97eXm5ooPSsk87ODgYKSkpIjHDB48GGZmZsjLy0Nubi46dOiAyZMni/vlodIqGlynpqZCEAS0a9dODGgBYNKkSVBWVhZfQOXZgQMHMGjQIFy5cgVA4cu1hYVFsaQ9P/30Ezp37oycnBxu9PqHPvc7FRQUwNHRUWo44YkTJzB48GBoamqidu3aaNCggTgKw8nJqVg2fXlz6NAhLFy4EBMmTJCqA1asWAEjIyNs27ZN6vi5c+eiXr16xXprSoKi5d+6dSs6dOgANzc3qeWHYmNjYW5uLg5JHjt2LCIjI0vk+XwrqampOHPmjHhN//LLLxg3bhwA4MmTJ6hatSoCAwPRs2dPqKmp4dChQzIsbckhqSMyMjIwbNgwzJo1S2r/r7/+Cnt7e3FqUWRkJGJiYqSSssozyfnv3r0b1tbWYkNdTEwMjI2N0axZM6kGnFevXiEyMhLly5cXn1nsv5k6dSqUlJQwf/58qWfWiRMnUKVKFfF3vnbtGjp37ozNmzeX+E6IbyE1NRWvXr1CTk4Obt269dlAffXq1TAyMsLu3btx9+5deHt7IyQkRNwvD++83wsH6aWQpAKRzAEcMmSIVM/5Tz/9xIH6d7B7926Eh4ejZcuWYgu/ZEhacHCwOC8sKSkJdnZ2qFKlCuzt7WFtbS2XydOAwpehIUOGoFatWihTpgyaNGkiDm0FCgP1MmXKFHupkjexsbHQ1tbGkCFDcO/ePeTl5WHp0qUwNzeHm5sbIiMj0aNHD5QtW1aqoYL9taIvMXfv3sWjR49w+/ZtAIX3gp2dHWrUqCE1xPfp06diokWgcPRCtWrV5Lr3ddmyZdDX10eDBg1Qvnx51K1bV9x37do1+Pv7o0GDBmJOi5cvX6JVq1bo3LlziawzJGXau3cvAgIC4OLiAkEQ4ObmJtYP9+7dg5GREWrVqoW6detCV1dXoZdZu3r1Ktzd3eHl5SVm3z979iyOHz+O9+/fw8XFBf369QNQ+IwQBAGCIOCPP/6QZbFLjBMnTsDY2Bju7u44evSo1L74+HjUqFEDLVq0gJeXFzQ1NRUyOL1x4wY0NDSwb98+cduECRNgYmKCcuXKITQ0FN27d4e3tzeMjIzw559/yrC08u/Jkye4evWqOIpu+vTpYqAuce3aNVhZWWHYsGG4fPkyvLy8pOplRQ5A4+Pj0blzZ7Rv316conTp0iX069evWKAumcpjYmIilUSvtOMgvZTasWMHOnXqhHr16qFhw4ZSc50BoGfPnqhduzbmz5+v8Ml5foQVK1bA1NQUkydPxsKFCwH870VVEqgPGjQIr1+/Rl5eHpKSkvDLL79g8uTJYoAub5V5TEwMKlSogBMnTuDy5cs4duwY9PX10ahRI6kXpBEjRsDDw6NEBhNfIinro0ePxP9ev349jI2NMWjQIDx+/Bj5+fk4ceIEOnbsiJYtW6JLly4coP8LRa+HcePGoV69eqhWrRrq1auHGTNmiMc4ODjAysoKJ0+elMpfkJycjIEDB0JPT0+uX0YXL14MZWVlJCQkIC0tDZcuXULlypWlAtY///wTP/30EzQ1NWFubg5ra2up5WpK4r118OBBCIKAuXPnIikpCTNmzICrq6vU0PebN29i7NixGD9+vLhclCK6cuUKdHV1MWrUKDx8+LBYXX/q1CnUrVtX/A2uXLmCzp07Izw8XEwkV5rl5eXhzp07aNSoEQRBEIPUovXBihUrEBQUhICAAIUJ0O/fv48VK1bg3r17eP78ObKzs2Fra1tsVM2uXbvQr18/ODk5wcPDA+PGjRMbO9nX2bRpE5o1a4aGDRuK+YOA4oF6RkYGxo8fDwsLCxgbG8PV1bVE18vfyooVK1C+fHksXLgQ+/fvl9pXNFBfs2aNuD0xMRF79uwpUclNZY2D9FLoxIkTUFZWRt++feHq6iq+HBTtfQKADh06wNnZuVgAz/6dhIQElC1btlg28/z8fLGnUBKoDxw4sNi/AyB/AToA9OrVCz179pTadu/ePejp6cHLy0tqKS3J7yAPD62ieQUaNGggNVw/Li5ODNTv3r0r9Tl+4HydCRMmoEKFCti/fz+uX78Of39/CIIgvmgXFBTAycmp2NDN58+fY9GiRXL9MhofHw9BELBr1y5xW1paGiwtLTFs2DC0atUKK1euxPv375GZmYnTp09j3rx5+O2330rsi05BQQEKCgowYsQItGvXTmrftm3b4OzsDFdXVzEgVfQhoa9fv4aHh4fU8E5A+rx37doFQRDERr4xY8agdevWUnkwSpNHjx6JvXAbNmxAQEAAcnJycPPmTTRs2BDVqlUTc7182iMnj8/Sz8nOzkbbtm3FhIGVKlUS68b27dvj9u3buHfvntRnSkNw+COsWLECOjo6WLly5WcbySSB+pw5cwAUBuoPHjzAiRMn5HZlnn9j7969qFixIuLi4qS2F733JIG6tbU11q1bV+w7FOU+/a84SC9lbty4gSlTpmDmzJnittDQUDg7O2PSpEnFAnJFSqryoxUUFCA9PR1t27YVl4H5HEmlvX37dqiqqqJHjx549erVjyrmN5efn4+CggK0bdsWbdu2FbdL5snNnTsXgiDA29sbjx49kvpMSVa0fAkJCVBXV0dMTEyxHr41a9bAyMgIQ4YM4Z7zryR5QKelpaFly5Ziz1BiYiJ0dXXFhIOSIKWgoAC9evUq9mCX5wAvIyMDP/30E8zNzaXm03fo0AEGBgYYMmQIGjRogDJlymDSpEnFlqYDZP+i8+nvX/TvkSNHok6dOsUCzcmTJ0MQBFhbW0tNjVFUV69ehbm5OY4cOfLZ67WgoAA5OTno0KEDBEGAs7MztLS0FHL5sH8iNzcXPXr0gIuLC0JCQiAIApYtWybuv3XrFurXrw8LCwtx9RRFDYjev38PoHAkzfr16zF9+nTUqlULgiDAxMQEBgYGaNq0KQICAjBv3jycPXsWAAfp/8WxY8dgbGyMtWvXSm3/9DedPn06lJWVMW/evGLfIet6+XuR/Abh4eHo2bOn1NJpn3Pt2jX069cP5cuX52k7X8BBeily9+5dNGrUCAYGBlJzZoDCQN3JyQlRUVGf7cllX+fVq1eoXLmy1LITRUkqsKJrm3p4eMhVcPGlsm7ZsgWamppYuXKl1PY1a9agT58+0NPTQ69evX5EEf+Ty5cvSz1UHz9+DDs7O3HaQm5uLjIyMrBjxw6xcSUuLg7q6uqIiIjguVX/wqdzjl+8eIHKlSvj3Llz2LNnD7S0tMShhVlZWYiOjhYzvEso0gvQ3bt30b9/f7i6uoqrPNjZ2UmN0mjXrh3MzMxK7Iin69evY9SoUXjw4IHUC9uGDRtgbW2N7du3Sy1TuGvXLri5uSEwMLBYT6AiiouLg4qKilSumE99/PgRO3bswJYtWzBr1iwx431p9fHjR7i5uUEQBHGeflG3b9+Gq6srrKysiq2eokg+FwBNnz4dPXr0wPnz57Fv3z6MGjUKrVq1Qv369Uv9dfMtzJw5E40bN8arV6++mNRUIjo6GoIgiLlCSoP8/Hw4OjqiT58+X9wPFM7nz8zMxKVLlzBt2jSFem5/SxyklyK5ubmYMGECqlWrhubNmxebax4WFobq1atjxowZ3NL6jTx9+hQaGhrFhv0U9fjxY7Ru3brYS7Y8BOpFy7h9+3bMmTMHCxcuFIeADR06FGZmZliyZAlyc3Px4sULtGnTBsuWLcPWrVtRtmxZXLx4UVbF/1vz5s1D48aN8e7dO3HbnTt3UK1aNbHnKyoqCm5ubtDR0YGRkZE4vHrTpk38UvQv3L59GwYGBhgwYIC4LTMzE927d0fv3r2ho6ODJUuWiPskWWAV9QVIUgffu3cPffr0QdWqVVGpUiVxJQhJD3RMTAzq169fIkff5OTkwNnZGYIgoEaNGggLC5Oa9tOxY0fUqFEDCQkJYqbtyMhI9OvXr8Q2OnxrycnJUFdXx+bNm794zIIFC9C8efMfWKqSSXJP5OTkoFmzZnByckLTpk2xatWqYsfevn0bVlZWcHBwKFUBwKZNm6Crq1ts7XPOLfTfFRQUoFWrVmjZsuUX9wOFzyZJ/RwXF6ewIzk+5+PHj1JJLj9373348AG9e/fGsWPHpLaXpvv0n1IiprAASP2toqJCo0aNooEDB9KrV68oIiKC3r9/L+6fMWMGde3alXx9fUkQhB9dXIUDgFRVVcnY2JgSExPp5cuXUvskHjx4QIIgUF5entQ+JaWSf3tKyjhixAgaMmQIbdmyhfbt20c2NjZ0+vRpCg0Npe7du1NISAhZWFiQs7MzPXr0iAIDA0lbW5sMDAyoUqVKMj6LL+vVqxctW7aMdHR0KDU1lfLy8sjIyIhsbW2pb9++ZGJiQqdPnyZvb2+6d+8elS1blhYsWEBERH5+flSjRg0Zn4H8qFChAoWHh9OBAwdoyJAhRESkrq5ONjY2tHLlSmrXrh317NmTiIjS0tJo8ODB9OHDB2rXrp0si/3dCIJAAMjMzIzGjBlDLVu2JFNTU0pISCAiIk1NTcrLy6PExESysLCgChUqyLjExamqqpKfnx/NnDmTFixYQGXLlqUBAwZQt27daP369RQfH082NjYUFRVF9vb21LhxY5o9ezYNHjyYypUrJ+vi/xCmpqako6NDa9asoYcPH4rbiz4j7t69S46OjsWe6aWNIAi0e/duOnv2LO3evZv27dtHWlpatGrVKlq9erXUsVWrVqU9e/ZQQkICKSsry6bAPxgAqlOnDmlra1NWVhYREeXn5xNRYX3B/htBEMjIyIhSU1Pp1atXn92fm5tLo0aNojVr1hARkb+/P6moqIjvd4pOU1OTWrRoQatXr6bk5GRSVlYmAFRQUCAe8+zZM3r27BmpqalJfba03Kf/isyaB9h3JWnRS05ORlRUFCZMmICEhAQAha1V0dHRcHFxwcCBA6V6Cdm3N2vWLAiCgBkzZhSbSpCRkQFfX1/06tVLbkcvxMXFwcDAQBx2HBsbC0EQxNEDeXl5uHr1KlasWIHNmzeLrcrDhw+Hq6srXr9+LbOy/5WirbonT55E3bp1xV7bK1euYMGCBZg7dy5evnwp/tu1a9cOMTExMimvInj9+jXmzp0LMzMzBAcHi9uHDh2KChUqoFWrVujUqRM8PDykspfLw6iTv/Olc5BcW/fv30efPn1Qv359capF27ZtUatWrRK9ROOhQ4ego6Mjrv397NkzjB8/HqqqqmjZsiWWLVuGX3/9FYsWLcKUKVOk1kovLeLj46GmpoaAgACpefgfP37EyJEjYWpqWip/l09lZWWhadOmmDhxorjt8ePHaN++PRo3bixOrRo1ahR69eqlEPXC17C0tJSap8++HclqG58mApbUvU+ePJFacqw0OnbsGGrVqgUHBwckJSVJ7UtPT0f79u3h4+NTau/Pf4ODdAW2efNmaGlpwdPTE/Xr14cgCBgwYAA+fvyIvLw8REVFwcPDAz179hQTkLBvp+gcwwEDBkBZWRnDhw9HcnIyMjMzcfDgQTRv3hx2dnYl+iX7SyQV7Pjx4zF48GAAhS+bWlpaYsbz9+/fi8nhJG7cuIGgoCCUK1euRA91LyotLQ1OTk5wdXXFjh07ig3LSktLw9ixY6Gnp8cv0//CnTt3is07Tk1Nxdy5c1G1alUMHDhQ3L5y5UpERESgd+/emDVrlnjPKNpQws/VxUWHvvft2xfu7u4wNjZGzZo1xYaKkvw7hIWFoXv37sjMzAQAdOnSBVZWVujevTuaN28OVVVVLF68WK7qv28pPz8fixcvhoqKCqysrBAYGIigoCD4+PigcuXKcr2E4Lfm6+srrgpQdH6rn58fateuDUdHR+jq6uLEiRMyLKVsSO4fe3t7jBo1SsalUSyS3zYzMxPt2rVDuXLlsGXLFqnEl+/evYO3tzdatmxZ6odur1ixAjVr1oSenh5mzZqFHTt2YOnSpWjYsCFsbW0VqoH9e+IgXUHdu3cPVatWFZMs5efnY/fu3dDU1BRffHNycjBmzBg0b94cz58/l2Vx5d7fVTTv3r3DuHHjoKGhAVVVVairq6N27dpo06aNWFnJQ6Wen59frJyjR4/GwIEDkZCQIJXYCyjsVR8zZoz4IMvOzsaGDRvQo0cPqSXYShrJA/nMmTM4ffo0gMLgqXHjxqhXrx62bt0q/g6JiYno2bMnTExM+GX6X5AsL2ZoaIgePXpg/vz5ePjwobh/7ty5qFmzJvr37//F75CHe+bvHDhwABs2bAAABAcHY9SoUZ89r6I96n5+fmjevLlcBOgA8Pvvv8PV1RX5+fno3bs39PX1xeXyrl+/jpiYGIVZu/q/OHXqFDp16gR7e3s0aNAAERERpTqvheS6fvPmDTIyMgAAs2fPho+Pj9R+oHDJxdjY2FI7GqOohQsX8soi39H58+fRsmVLqKmpoXv37pg3bx4iIyPRuHHjUhOAFm1QLfrfRc9527Zt6N69O7S0tKCpqQlXV1cEBgYqbAP79yAApXySkwJYtmwZ2djYUP369cW55FeuXKH27dtTYmIiWVtbU0FBASkpKdHOnTvJx8eHduzYQa1ataL8/HxKS0ujihUryvgsFENMTAxZWFhQ27ZtP7v/zz//pNevX9OrV6/IxsaGateuTUpKSpSXl0cqKio/uLT/TmJiIiUkJNCzZ8/Iy8uLQkNDiYgoNjaWpk6dSk+ePKHo6GgKDg4mIqJ3795Rt27dyM7OjqZOnSp+T05ODuXm5lLZsmVlch5/BwAJgkAJCQk0ePBg8vLyokmTJpGRkRGlp6eTj48PZWZm0qhRo8jHx4fOnj1Lx44dI29vb7KwsJB18eXG9OnTaeLEiWRjY0N5eXlUrlw5On36NLm4uFDr1q2pRo0adOvWLVq6dCl16tSJoqKiZF3kb+7NmzfUt29fSklJIT09Pfrjjz/o5MmTVKdOnc8eL7k2X7x4QXp6enJTdxARNWrUiJKSksjAwIB27dpFdnZ2si5SiZSfn1/q52ampKSQgYEBERU+Mz08PKhmzZpkZWVFz58/p1u3btGGDRvI2tqa9PX1ZVzakkdST7CvI3lf/ispKSm0cOFC+v333yklJYWcnJzIzs6Opk2bJs5Bl4d6+b/Kzs4mNTU1qXrr09/v/v379PHjRzIyMqLy5cuLOZhKw+/zn8m0iYD9ZwUFBTA2NoaVlRXOnDkjtmhduXIFgiCI82Ly8vJQUFCADx8+wMbGptgSbOzrFG01XLJkCQwNDcW5l0X91TBOeWhtXbJkCcqXL4/AwEC0bdsWgiAgKipK3C9pLd2wYQNu376NK1euwMvLC46OjnI5lP/gwYPQ1NTEqlWrxKzZkn8nSY+6m5sbEhISUFBQoBA9urIwZcoUNG7cGOHh4Xjw4AEOHDiACRMmoHr16rC3t0f58uVhaGgIQRCwYsUKWRf3u7h16xasrKwgCAKmTZsmbv8n94s81B2S89i5cydq1qyJLVu2SG1n0r7UQ1VanD9/HqampuK6yS9evMDmzZuxceNG9O7dG7169YIgCChXrhxq1aoFW1tbNG3aFKtXr5ZxyZmikaw48VfS09Px8uVLqW2K/D5Q9Jnz+++/o2HDhuIUrX963qWxXvta3JMux/D/raU5OTnk4uJCeXl5tGLFCnJ0dCQVFRXq3r07PXjwgGbPnk316tUjosIWLldXV+rVqxcFBQXJ+AwUx7lz5yg2NpacnZ0pICBA1sX5ppYvX07BwcG0YcMG6tChA7148YLatGlDaWlpdPToUTIyMiIiIm9vb7p//z7dunWLnJycSE1Njf744w9SVVWVu96hkSNH0osXL2jlypVi2fPz80lJSYkEQaD09HRq0KABVapUibZu3UpaWlqyLrJcKdrSPn78eNq2bRt5eXlRWFgYVaxYkdLT0+n58+e0adMmunz5MqWkpNCBAwcUquVdUn/fvXuXhg0bRllZWZSTk0N9+/Ylf39/IlKsXtUXL16Qh4cHde3alSZNmiTr4rAS6OLFi1S/fn0KDQ2lKVOmfPaYt2/fUseOHalHjx5Uq1YtOnToEL18+ZJ+/vnnL45AYeyfKPpcWrNmDY0fP5727dv32RFykvobn4xa+PRvRVL099m3bx8lJCTQsmXLqEuXLrR48WLS0dFRqGdWiSDDBgL2DWRlZQEobM0zNzeHp6cnTp48CaCwN7BNmzZwdnbG1q1bcfz4cURERKBixYq4e/euLIutUJKSkqCuro6yZcti+fLlsi7ON3X16lUoKSmhd+/eUtvt7OxgYGCA27dvi2uiA8DDhw+xe/duXL58WWxxlcd5R61atULbtm3Fv4u2/D548ABAYY+65L/Zv1e0RX7ixImwt7dHREREsUSDRcnjtfSpL/V+X7x4EV26dIGHhwfWr18vte/TVSHk1dq1a1G2bFlxJQjGJC5cuAANDQ2MHDlSavuNGzek/s7MzISZmRlmzZr1I4vHFFzRejkhIQHz5s2DIAjw9PTEnTt3ZFiykic0NBS2trYICQmBp6cnjI2N4ePjg7S0NACKPZLgRyv5CzGzLwJAampqtGnTJgoPD6cqVarQ4cOHKSgoiM6fP0+enp4UHh5OtWvXpk6dOtHPP/9MiYmJ9Mcff1D16tVlXXyF4e7uTtHR0UREdODAAam1buVd2bJladiwYbRlyxZat24dERH5+vrS06dPyc3NjcLDw8nLy4t8fX1p/vz5lJGRQV5eXmRjY0NKSkpUUFAgd72fBQUFVLduXXr//j3dvn2biArXPy0oKKBnz55RZGQknT9/nrS1tcnU1FTGpZUPkrV6i5JcH0REY8eOpQ4dOtC+ffto4cKF9Pz582LHA5C7a+lTAMSeiNWrV1NUVBTNnTuXsrKyyNbWloYNG0bGxsa0dOlSWrt2LRERtWzZkhYvXizLYn8znp6e5OzsLI6+YYyI6M6dO1S/fn0aPnw4TZkyRVwPPioqioYPH06pqalEVFg3q6urk7u7Oz169EiWRWYKRlIvR0ZGUnBwMGVnZ9OAAQPo4cOH5OvrS/fu3ZNxCUuGw4cPU1xcHC1cuJDmzJlDBw8epDFjxtDz58+pV69elJ6eLo48ZN+AbNsI2H919OhRaGhoYPny5Th58iSOHTsGS0tL1KpVSyrT9N27d/Hw4UNxfi37On81BzQ6OhqGhoYYP348nj59+gNL9X09ffoUERER0NbWRu3ateHs7CxmHH79+jX+/PNPdO/eHdWqVYOXl5eMS/vvSHrInz17hgcPHuDFixcACudFamlpISgoSBwpkJOTg/Hjx8PCwkIqCzn7a5LRPgA+W/982qNet25dBAUFKVxdVfQ8w8LCULFiRdStWxfm5uZwdHQUV0A4deoUevbsiSpVqqBmzZpSy6wpAskybIwBhffFyJEjoaenh9mzZ4vbp0yZgnLlymHPnj3FPhMcHIx69eohPz+f57eyb+bKlSswMDBAYmKiuO3OnTuwtbWFg4MD96ijcJRBpUqV8OTJE3FbZmYmpk2bBk1NTXTp0gXv3r0DIB85U0o6DtLl3MyZM1G/fn2pl7h3796hZs2acHR0xMmTJxViiGhJULTCWb58Ofr374/g4GCpJHyTJk2CiYkJJkyYoHCB+tixY1G2bFlMmTJF3F50Cah3797JVaUsebnbsmULatWqhdq1a8PIyAgRERFIS0vD/v37YWhoCA8PD7i7u8Pb2xu6urq8zNq/sG/fPkyePBkAMGDAADRq1OizAeenAWyvXr0U9uX71atX6N69Oy5duoSMjAwkJyfD3t4eNWvWFAP1GzduYOfOnZg/fz4vV8MU3tOnTzFkyBC4uLhg0aJFmDZtGipWrPjZAB0o7JwozUvTse/jzJkzqFChgjjFQvJcunjxInR1ddG0aVPcu3dPap8i+1wSy9OnT8Pa2hpbt26VOvbly5eoXr06rKys0LVrV6n149nX4yBdTklumHHjxsHKykrcLllLdM+ePRAEAba2tjh37pxMyqioRowYgUqVKqF3795o2rQpqlSpglatWon7o6KiYGpqiuHDhxfL+inPHj16hJEjR0JbW1tq7v2nwYM8zUfav38/tLS0MGfOHGRmZmLSpEkQBAEbN24EAJw9exYLFy5EQEAAoqKiis2PZF+Wn5+PAQMGwMHBAY0aNUKFChVw/fr1vzxeQlK/KVqgvmTJElStWhXNmzcX64aCggKcO3cO9vb2sLS0FOvwouTpnmLsazx//hzBwcGwtLSEiooKDhw4AED6+TJ27FgEBwfLqohMgXzu2ZKVlQVjY+NieRHevHmDunXrQkdHB05OTn/5HYqi6PM4Ly8P2dnZAAo7AT08PNC4cWOcPXtWPObhw4fo1KkTpk6dCjs7O3F1BvbfcJAu565cuQJtbW2p3k2gMGmcj48PnJ2dOUncN3TixAmYmJjg8OHDAIDs7Gzs3bsXJiYm6Nixo3jcmDFj0L59e7mqxP9JWZ8+fYqRI0dCR0dHrpfEkpzrwIEDMWDAAADA48ePYWFhgf79+8uyaArH1dUVgiBgyJAh4rYvXWuKvPxUfn4+4uPjUbduXRgYGIgvPcD/AnUnJyfo6upKTRFgrLRISUlBSEgIbG1t8euvv0rtGzduHNTV1aUCA8a+RtEANDU1Fenp6eLfUVFRcHR0RExMjLgtIyMDAQEBOHr0KIyMjDBmzJgfWl5Zio6Ohre3N1q3bo0dO3YAKGxQq1GjBjw8PDBp0iRs27YNTZo0ga+vLzIzM1GpUiVMnDhRxiVXDJw4Tk7g/xOpXLhwgeLi4ujcuXP0+vVrql27NkVERNDy5cspKiqKiIg+fPhA+/fvJzMzMzp+/DgnifsPJImtJP/77Nkzys/PJzs7OyIiKlOmDHl6etLs2bPp6tWrlJSUREREkyZNooSEBHGJjpKuoKBAXDYkMzOTiOiz5TYyMqLg4GAKDg6mPn360I4dO35oOb/Wp/+OEi9fviQPDw/KzMwkFxcXatKkCS1atIiIiDZt2kSHDh364WWVd0V/4+zsbLKxsaGuXbvSyZMnacqUKZSenk6CIHw2sUzRpWvkfRmbT681JSUlatOmDU2ePJlUVVWpRYsW4j5BEMjR0ZEWLFhA7du3l/sEeYx9DX19fRo5ciQ1bNiQfv/9d5o2bRoRFSaQmz59OiUlJZGTk5OMS8nknSRJ3C+//ELt27cnW1tbWrhwIb18+ZL69etHHh4etGDBAurSpQvNmjWLWrRoQTdu3KC6detSrVq16OXLlzI+g++n6HMrKiqKZs6cSdWqVSNlZWXy9vam+fPnk4GBAR07dozMzc0pPj6ewsLCSElJidauXUvq6upkbW3NSXW/FRk3ErB/IT4+Hjo6OjA3N0eFChUQHByMu3fvIj09HVOnToW2tjaqVasGGxsbnjv7Dbx9+1b87xMnTgAoXJLMxMQEW7ZskTr27t270NXVRXx8vNR2eegNLNqqPG3aNPj7+/9t0q5Hjx5h8eLFJX6erOTcJP8OkiVCJAYPHgwrKytUqVIFgwcPFudL5+TkoGvXrhg3blyJP8eSpOi1tGbNGpw/f178Ozg4GHXr1sWUKVPw/v17cfvz589/ZBF/iKK/w759+7BmzRokJCSIyXb27t0LS0tLNG3a9IvfwUPcWWklGfreoEED1KtXj3vQ2X9WUFAgVS8vXboUlStXxsKFC9GvXz8YGxtj8ODBePbsGdLS0hAXFwdnZ2c0atQIHTt2FEc+tW7dGqNGjRK/U1Hdu3cP06ZNw6FDhwAUjhqdOnUqlJSUMHfuXACF70np6el49uyZ+LnRo0fDwMBAnLvP/hsO0ks4SSXw6NEjeHt7Y+nSpfj48SMWLFgAV1dXdO/eXcw4eefOHcyaNQsrVqzA7du3ZVlsubd9+3YEBgbixYsXGDx4MJSUlPD69Ws8f/4czZo1g5+fH44fPy4e/+rVK9jb22Pbtm0yLPV/M2LECBgaGmL+/Pn/6vopqUGs5IF8//59TJo0CR4eHjA1NYW/vz/WrVsHoHDNc1dXV5iYmIiJTvLy8jBq1ChUqVKFkxP9C0VfWCIiIlC1alVMmDABqampAAr/PQYOHIh69erhl19+wcOHD9GkSRO0b99eVkX+7kaMGAETExN4enrCysoKHh4e2LlzJwoKCrBz505YW1ujefPmsi4mYyXO8+fPERgYCAsLC6nGPsb+q/Pnz2Po0KFISEgQty1btgyWlpYYNGgQ7t+/L24v2lgaFhYGfX19hXsvGDVqlNSQf0lOKyMjIxw9elTcnp+fj+joaCgrK2PhwoVS33H58mV4e3vD2NiYOwi/IQ7S5cDp06cRHByMDh06SCUii42NhaurK/z9/XHx4kUZllDxbNmyBXp6erCzs0PFihVx9epVcV9SUhLs7Ozg5eWFSZMmYfv27WjWrBns7e3lqveraKvygQMHUKVKFRw5ckSGJfp2JOd26dIl1KhRA926dUO/fv0wefJkmJmZwcjICGPHjgUAbN68GTY2NqhWrRr8/PzQpk0b6Onp8YPmK0VHR6NSpUo4e/asGLgXHdEQERGBOnXqwMTEBM7OzlJzs+Vd0YaKVatWwcjISByFM3PmTKirq2P79u0AChu3du/ejfLlyyMkJEQm5WWsJEtNTUVKSoqsi8HkWGhoKA4ePAigsH4+fPgwNDQ0oKuri7i4OKljly9fDisrK4SEhEi9U1+4cAGDBw9GtWrVFO694Nq1a2jYsKFUZ8vr168REREBFRUVxMbGApBO5jp9+nQIglBsRGlsbCxu3rz5w8peGnCQLgeioqKgp6cHQ0PDYj2csbGxaNSoEby9vaUCSfZ1ir5kd+vWDUpKSvD19S22LvapU6cwYMAAVKlSBXXr1kXr1q3FodIlPVCPiIgotm3lypVwcHCQSlj16VAueVlyRFLOCxcuQEtLCyNGjJCaunDz5k0EBARAT09PTA5z8+ZNREREoE+fPoiKiuKRKF/p3bt38PHxEZMK3rt3D4mJiWjbti2GDx8urkN/+vRp7N27V7xXSupojH9KEngXFRoaioEDBwIobAjS0dHBokWLAAAfPnzA8+fPkZ+fj+PHj5f4OoMxxuTNnTt30Ldv32LPl+nTp0NLSwv9+/eXWu8bAFasWAFdXV3MmjVLavvevXuLvQcqmt9//12cEvjmzRsMHjwYKioqYsK4ooH62rVr5f65LQ84SJcT8+fPR/Xq1REUFIQHDx5I7Vu6dCm8vLwUal1uWfg0CF22bBliYmJQtWpV9O3bV2wEkVRUeXl5SE9PR0pKiritpFdahw8fRqtWrYqVc/Xq1TA1NZUa5lVQUIC8vDysXbtW7nozbt++DXV1dTEL66fB4J07d+Dl5YXatWsr3NA1WSooKICbmxtatGiBPXv2oHXr1vDw8EC3bt2gpaWFvn37FvuMvAeoo0aNKraue0FBAfr374+FCxciOTkZWlpaYoCel5eHZcuWYdmyZVLfI++/A2OMlRSfdjKsX79equd88uTJMDY2xuTJk6XmVANAYmKiWB/LS+fE1yg6wu3p06cQBAE+Pj5izpi0tDQMGjQIqqqq2Llzp3hsUSX9nVfecZBewkhugI8fP0rNEQEKh5E6ODggNDS0WIvepwmx2L9TtCKeMWMGIiMjxZ7xhIQEmJiYoG/fvlLrPO/Zs0fqO+QhiUh2drZYzk2bNonbDx06BAMDA0ydOlUqaVxWVhYaNmyI6OjoH17Wr5Wfn4+RI0dCT08Pc+bMEbdLHrqS8z969CiUlJSk5qUV3c/+2qcvL5K/9+3bB3t7e+jo6GD06NHinLZp06ahXbt2CjW8HSgckiupK4rOnZ07dy4EQYCKigo2btwobn/37h2aNm1aqpbxYYyxH0nyPMrLy0NKSgqcnJzQrFkzqeS+48ePh4mJCSZPnvzZBKalpeH0xo0bAApHiOrr66Njx4549+4dgMLYIjg4GOrq6ti8ebMsi1kqcZBegkiCgx07dqB9+/awsLDAiBEjxBYsAJgyZQocHBwQHh4u1evJvo3w8HAYGxsjOjpaTMgHFM5RNzU1Ra9evZCQkIA2bdrA0NAQBQUFchPUFX3g3Lx5E5qammjTpo24bdy4cdDW1saIESOwfft2HD58GM2bN4eDg4PctZY+ffoUQ4YMgYuLC6ZOnSpuz8/Pl2oI09PTw4IFC2RVTLlVNEBfsmQJAgMD0aVLF8yfPx9AYev6o0ePpD7TpEkTDBo06IeW83uaMWMGLl26JP79+++/o3bt2li8eLG4rW/fvtDU1MTp06fx4sUL3L17Fy1btkTdunXl7p5ijDF5UPSdLCMjAwBw7tw5tGjRAi1btpQKNidMmABTU1NERET87ao2iqLo77NgwQKp5KWnT59GxYoViwXq3bt3R8OGDX94WUs7DtJLmG3btkFTUxNjxozB4sWL0axZM9SvX19qmM60adNQrVo1jB49ml/0vqHExEQYGhpKZW0vWpklJibCyckJtra2aNiwodh7Jg9BetGEgwcOHABQOE+2Ro0aaNu2rbjv119/hYeHB9TU1ODg4IBmzZrJzVz7T0mW8XFxcZEaCSA5D0kCwHPnzsmqiHJvxIgRMDIyQlhYmJhMZsiQIeJv/OHDB+zbtw9eXl6oU6eOWF/Jwz3zVw4dOoTatWujc+fO4nSJJ0+eoH379mjUqBGWL18OoHBahZ+fH8qUKQNTU1M4ODjA3d1dbu8pxhgryYo2IG/atAldu3YVg+8///wTTZs2LRaoDx8+HO3bt5f759Lf6dSpE9avXw/gf7/TiBEj0KdPHwD/G7ouCdR9fX3Foe8fPnxQ6KH/JRUH6SXIjRs3YGNjI/bEZGRkQE9PD5aWlnBxcZEaMjlr1ixeh/Abi4mJgaenJ4D/BRGfVkr379/H7du3xe3y0EiyY8cOdOjQAffu3cOQIUMgCALevn2LjIwMxMfHw8zMTCpQf/HiBW7duoX79+/LzVz7L/lSoA4UJvZq0aIFXr9+LaPSybdjx46hevXq4nD2PXv2oEyZMlJzrY8ePYpevXrB29tbDEzl9Vr6lCRpZ6dOnXDlyhUAhdebr68v3NzcsGrVKvHYffv2Ydu2bTh8+LBc1R2MMSYvir6vJSUloVOnTtDT00NISIj4nJcE6l5eXlJD34smRVNEGRkZ+Pnnn6GqqiqVlb1Xr14YMmRIseNPnz6NypUro1GjRuLytIBiz9EviThIl4EvVQIPHz5EREQEXr9+jcePH6N69eoYOHAgzp07BzMzMzg4OIg9NOzbi46ORs2aNcVM4JJ/p5ycHPz2229Smc8B+amsjh8/DmNjY1hbW6NChQq4fPmyuC8zM1MM1H18fD77eXk5zy/5XKA+adIklC9fXuq3YH/t0+tg27ZtcHV1BVCYt0FLS0tsYExLS0NycjIA4NatWwoVmBadU79gwQI0bdoUfn5+Yo/6s2fP4OvrC3d392LJ4STk/Z5ijLGSKjQ0FC4uLujRowecnJygr6+P/v37iyMK//zzTzRv3hx169bFoUOHxM8paoAu8e7dOwwfPhzKyspiA0XXrl0xfPhwAMWfz0lJSWjVqhU/r2SIg/QfTHKxv3r1ClevXpWa05iXl4fU1FQAQL9+/eDv7y8ONenWrRtMTEzg4+ODtLQ0ha9MvqcvVTiJiYnQ19fHqlWrxN8dKBzm4+7ujiVLlvyoIn4TBQUF4rn269cPysrKaNmyJa5duyZ1XFZWFuLj42FhYYEGDRrIoqjfnSRQb9CgAerVqwd1dXUe5v6VYmJicODAAZw4cQINGjTA/Pnzoa2tLWYvBwp7jtu3by+V4FIRHvRF692ZM2fip59+QvXq1aGkpAQ/Pz/x3nr27Bk6deqERo0aicv8McYY+7527NiBSpUq4fTp0+K2cePGwdnZGUFBQWKP+qlTpxASEqIQz6W/U/QcP3z4gCFDhkBZWRlHjhzBqFGjEBwcjMePH+PChQt4+PAhXr58Ka4t/7nvYD8OB+k/kOQiv3z5MpydnVGtWjWYmpp+dlmiRo0aia1bQGGQNXv2bLlbCqukKVrRbNiwAbNmzUJkZKSYJG7QoEGoXLkyZsyYgZMnT+Ls2bNymejp0wp18+bNWLduHSwsLNC5c2ecOXNGan9mZibWr1+P9u3bK2xl/Pz5cwQGBsLCwkIqCzf7a0Wvh8WLF8PQ0BCnT5/GjRs3xPwFEyZMEI/JzMxEmzZt0KNHD4VtTJwxYwa0tbWxc+dOXLx4ERMmTEDdunXRqVMnMVPu8+fP4enpiaCgIIX9HRhjrCRZt24dqlSpIvWunJ2djaFDh0JLSwvBwcHiHHXJs01R33kA6XN78OAB8vLykJ2djZCQECgpKUFTUxPW1tYwNzeHjo4OjI2NYWxsDA8PD35ulQAcpP8gkhvlwoULKFu2LIYPH45Dhw5h0KBBKFOmDBYuXAigsDf948ePCAgIQNu2bbFkyRKMGDEChoaGePLkiSxPQaGEh4fD0NAQAQEBcHZ2hrm5uTiVIDQ0FE5OThAEAfb29lJJ4uQh0VPRSnnu3LmYOHGiuJxfUlISqlevjs6dO0v1JG/duvWL36FIUlNTuaHrK507dw7BwcFYu3atuG3Dhg0wNjZGz549sXbtWsTHx6NZs2ZSSeIU6VoqKChAVlYWWrVqhYiICKl9S5YsgZmZGbp06SIOfX/16pXUWrSMMca+jc/VqYmJibCwsBA7IiT174sXL2BsbAwnJycMGzZMap61oir67B0/fjx8fX2RmJgIAHjz5g3Gjx8PQRAwY8YMfPz4Effv38eDBw+kpqjxc0u2OEj/gW7fvg11dXWp9XHv3buHMmXKSPWaA8DevXvh5eUFc3Nz1K5dG3/++eePLq5COX/+PN68eQMA+O2332BiYoILFy4AAHbt2gVBEKSyfaakpODkyZO4cuWKXM2nLVqhhoWFwcjICIsWLcLdu3fF7UePHoWFhQU6dOiAVatWoW3btqhQoYJCBVPs2zp69Cg0NDSgra0tlRANAFavXo0OHTpAS0sLjRo1gp+fn1w1an2NTp06oWfPnsW2BwYGQktLC02bNpVK7Mn3FmOMfTtF33WWLVuG3bt3AyhcWrVmzZpo1qwZnj59Kh5z48YN+Pn5ITQ0FLVr1xaTfZYGo0aNQsWKFZGYmCi1Hvzr168RFhYGVVVVbNu2rdjnFPX5LU84SP9B8vPzMXLkSOjp6WH27Nni9ilTpkAQBPj4+GD27NmIjY1FZmYmgMKEZSkpKVLLZ7F/7/z589DX18fJkycBFC4z1rlzZwDA+vXroaOjI45kePfunVRWc4mS/pItuWYkVq5cCQMDA6l5WQUFBeK6l6dOnUKDBg1Qt25dNGnSRK6Wk2OyMXPmTGhqaqJHjx7F1kDPzs7G06dP8eHDB7lfEaCoT+8Hyd8jR45E9erVcfHiRan9U6dOhbu7O0aNGlXi6wzGGJNHRevWc+fOwdPTEzVr1hRXGrl37x4MDAzQoEEDLF++HH/88QdatGiBnj17IicnB5qamlLv4Yrs3LlzsLKyEpfe/dT79+8RGhoKQRDE34+VHCrEfgglJSUKDg6mjIwM2rhxI6mpqVF6ejrNmDGDRo8eTfb29hQXF0ePHz+mUaNGkaWlJQ0dOpS8vb1lXXS5Z29vT+XKlaM5c+bQ+vXr6fXr16ShoUHnzp2j/v3707Rp0ygoKIiIiDZu3EipqakUFhZG6urq4ncoKSnJqvh/q1u3btS1a1dq164dASBBEOjixYvUokULcnZ2pmvXrtGxY8do6dKl9O7dO4qOjqZOnTrR5s2bKScnh4yMjEhJSYny8vJIRYWrhNKuoKDgs9f7sGHDKDs7m+bPn0+xsbHUu3dvMjQ0JCIiVVVVMjIyEo8FIPfXUtHf4cmTJ6SiokLq6uqkq6tLU6ZMoT/++IO6detGy5Yto5o1a5K2tjadOnWKunTpQsHBwSQIwhd/S8YYY19HUqf+8ssvdPHiRcrKyqJHjx5RUFAQxcTEULNmzejcuXPUs2dPmjlzJmVkZJCpqSktWrSIlJSUyNramkxNTWV8Fj9GVlYWvXv3jipXrlxsX25uLmlqatKUKVPI1NSUXF1dZVBC9lfk+y1KzhgZGVFkZCRFRUXRnDlz6O7du7R3715q0qQJERG1a9eOVFRUaP78+fTnn3+Subm5jEss//Lz80lZWZnCwsIoJiaG7ty5Q76+vtSsWTNas2YNrV27lrp3705ERJmZmbR161YyNzeXCtBLOjMzM2rVqhURFVa6ZcqUoSpVqtCGDRsoLCyMDh48SGZmZtS2bVt68eIF9e7dmzw9PaUq7YKCArkPqth/VzSoTExMpKdPn5KOjg55eHhQ1apVaeTIkZSbm0tLliwhQRCod+/eZGBgQIIgSH3Pp3/Lm6K/w4QJE2jv3r10584datGiBfn4+FDnzp3p2LFj1LRpU+rRowcJgkCampqUnZ1Nv//+OwmCQAA4QGeMse9g8eLFNHPmTNq1axdZW1tTUlISrVy5koYNG0azZ8+mpk2b0s6dO+nNmzeUnZ1N1apVIyKiMWPG0IsXL8jBwUG2J/CDvH//njIyMsT3u5ycHCpTpgwRER0+fJjev39PHTt2pCFDhhARcWdNSSPjnvxSKSUlBSEhIbC1tcWvv/4qbi+6/q4iDBUtSW7dugU9PT1MnToVADB58mQYGxtjypQp4vzzVq1awc7OTvztS/rQ70+H0y5cuBALFixAZmYm7t27hzFjxsDW1hZz5szB9evXAQBHjhxBw4YNxaX+GJMoer1HRERAX18fnp6eMDAwkEo4AwATJkyAqakpIiIixEy5imjs2LGoWLEitmzZgr1796JVq1aoVq2a1Lz8TZs2YcGCBZg3b55Yd/BcPsYY+35+/vlndO/eXWrb4cOH4e7ujlq1ahUbun3lyhX4+flBX19fIXM8/dX0Kjc3N9SpU0cqxsjIyICXlxdGjx79I4rHvhIH6TIiWbfZxcUF0dHR4nYOzr+t/Px8sfKaOnUqqlSpggcPHuDJkyeIiopC+fLlUalSJdja2qJFixZylfBKElRJ/rdNmzaoXr06YmNjxcpYktUdKLy2vLy80LZt2xLfAMFkZ/bs2ahSpQpOnToFAJg3bx6UlZXRokULbNmyRTxu+PDhaN++vUJdS0XP5dChQ6hVqxaOHz8OADhw4AA0NDTQqFEjmJubY82aNZ/9DnmoOxhjTJ6Fh4fDzc1NzLMj8euvv4or8xw5ckTc/vbtWyxZskRcIlORFA3Qd+7ciaVLl2Lz5s1i4rxTp06hTp06MDU1xYoVKzB37ly0aNECNjY2HHOUcByky5AkUHd3d8e4ceNkXRyFsH37dlhbW2Pt2rW4f/++1L6jR4+iZs2aiIuLA1CYmC81NRVHjx7FjRs35DaLe9EkXj169EDNmjWxcuVKMUBPT09HfHw8PD09YWdnJzZEcGIr9qm0tDQMHDgQixcvBgDEx8dDV1cXkZGRsLGxgaurq1QW2E8biuRZ0fvh2bNnePPmDUaPHo3c3Fzs2bMHenp6WL58OW7cuAFLS0uYmJiICScZY4x9e196T1mzZg3MzMywbt06fPjwQdy+ZcsWdOzYET169ICfnx/evn37g0oqG5+OgJMkzNPX10fnzp1x+PBhAMCTJ0/QrVs32NjYwNnZGf7+/nLVKVVacZAuY8+fP0evXr3QrFkzhR42+iMUFBTg8OHDaNGiBWrWrAljY2PMmDFDXC8TAAICAlCjRo0vfoc8BK5FyxgXFwcfHx8kJSWJ27p16wZLS0usXLkSHz9+xIMHDzB+/Hj069dPbICQh4YI9uPl5eXh7NmzePHiBS5fvozq1asjJiYGQOFKCFpaWnBxcZHKFKsIAXpRERER6NmzJzIzM5GRkYH8/Hx06NABo0ePFu+9Dh06wNbWFgEBAQp3/owxVhIUfde5dOkSLl68KE7dAwrf5yTLzF67dg0vX76Et7c3Jk6ciBUrVkBbWxs3b96URdF/uFmzZsHExERcxWjWrFlQUVFBy5YtsXfvXvG4Fy9eICMjQ6FWYVFkHKSXACkpKUhJSZF1MRRKcnIyJkyYAENDQ1hbW6NHjx64fv06jh07Bg8PD8TGxsq6iF+l6EMrKSkJAQEBqFChAjp37iwOTwYKA3Vra2vExsYiJydHamksbjVlQPEGKcnfkutk3rx5aNCggTiccPXq1WjdujWGDRsmF41Z/1TRIPv48eOoVauW1L2Unp6OmjVrYuLEiQAKl2ns0qULfvvtN4UaScAYYyVF0Tp1zJgxqFOnDipXrgwPDw+xLgaAfv36wdbWFjo6OqhZsyYsLS0BFK6LXqNGDamgXpEUfV6/efMGvXv3xpIlSwAACQkJ0NXVRVhYGKytrdGgQQPs2rWr2Hfwc6vk4xR+JYC+vr6si6AwJNnc3dzcyM3NjTp16kRJSUk0Y8YM6tixI+no6NC9e/foyJEj1LNnT1kX91+TZIseNmwYbd++ndq1a0etW7embdu2kSAINHjwYHJ3d6f169dTz549KSQkhCpVqkStW7cmosKlsZSVlWV5CqwEKJq9fMGCBXT9+nW6cuUKhYSEkJ2dHZmbm1NWVhZ9/PiRbty4Qfb29pSQkEAtW7akkJCQYt8hzySZ6GfPnk2PHj2ixo0bU7169YiIxAztjRo1op07d1Jubi4lJyfThw8fqFOnTrzMGmOMfQeSennixIm0ZMkS2rhxI1WrVo2io6Ppl19+oQ8fPtC0adNoyZIldPbsWXr27BkJgiC+6yxYsIA0NTU/u/SYvMvKyhJXILp58yZZWVlR//79qVq1anT58mUaPnw4jR8/noYMGUK1a9emkJAQioqKIh0dHXJ3dxe/R95XYSkVZN1KwNh/8U9bAvPz87F06VL06dMHgiDAwcFBblsRk5KSULlyZSQnJ4vbNm3aBFtbW3Tq1EmqF3D8+PHcc86+aMSIEdDX18fYsWMRGhqK8uXLY+DAgcjNzcXJkydhbW2NGjVqoFq1arCxsRHnsMnrvVPUp+fQq1cvCIIAFxeXYvMYjx07hr59+6Ju3bro2LEj53VgjLHv7Ny5c3B3d8fBgwcBAHv27IG2tja6dOkCbW1tjBo1qthnjh07hsDAQFSsWBEXLlz40UX+7n777TdMnjwZADBkyBBYWFggIyNDTBY8Z84cNG7cGO/fvwcALFu2DF5eXggNDeXnlRzinnQm1yQtgSkpKWRgYPDZYyS963379qW+fftSYGAgubi4iGsZy1trooqKCikpKZGampq4zc/Pj/Lz86l79+6krKws9qj/8ssvRPS/34AxyTV/6NAh+v3332nXrl3k6OhIZ86coZiYGHJ3dycVFRVycXGh9evX04ULFygjI4P69etHKioqCrGO6tGjR+nMmTMkCAL5+/uTgYEBrVq1igwMDGjatGm0adMmCggIIA0NDSIi8vDwIBcXF8rPzyc1NTUSBEEhfgfGGCuprKysyMfHh+rWrUuHDh2iwMBAmjlzJnXr1o26du1KU6dOpXfv3tH8+fPFz6ioqNCrV6/o8OHDZGNjI8PSfx9PnjyhsWPH0r59++jy5ct09OhR0tDQoIKCAiIi+vjxI3348IFu375Ntra2tGPHDvL29qaBAwcSkeKMgCstBACQdSEY+7cSEhLIxMSE6tWrRyNGjKDXr1/TwoULpQLXT30akMvDS7akzEXLfurUKWrbti2tWLGCfHx8KDc3l1RVVQkA2djYkCAI5O7uTuPGjSNjY2MZnwErKT5+/Ehly5YV/969ezdFR0fTkSNHaMOGDdS/f3+aNm0aBQUF0fv37+n69evk4uIi9R2K0NizZs0aioqKotatW5O1tTX169dPan9QUBCtXr2ali1bRp06dRKHFRZ9uZHHxj3GGCupDhw4QJcuXaLnz5/T2LFjSVtbm4j+9542YMAAUlFRoZkzZ5KamhoNGzaMLly4QDo6OpSQkCAVeBYdDq4oip5To0aNKCkpiYKDgykmJkbqWZSUlER9+vQhQRAoJyeHNDQ06MKFC6SiosLPLTlUsiMUxj4jMzOTNmzYQAkJCdS1a1fatm0bHT9+/C8DdKLi829KeoBeNCjIy8sjVVVVIiJycXEhHx8f6tWrFx04cIAcHByIiOj169dUt25dqlOnDk2ePJnatGnDQTojIqKtW7fS1q1bacyYMWRhYUFERG/fvqU3b97Qrl27KCgoiKKjoykoKIiICl+Ytm/fTlWrViVDQ0Pxe+Q9QF+7di0NGDCA1q5dS23bthXrjJiYGDI2NiY/Pz9atGgRAaD+/fuTIAjUsWNH0tDQkHoJ5Bcdxhj7NpYvX06jR4+mOnXq0LVr12j79u10+fJlUlVVJRUVFcrNzaWLFy+ShYUFqampUVZWFj1+/JgCAwMpICCAiKTflxQtQN+3bx9dvHiR3NzcyN3dnerUqUMuLi7066+/kr6+Pg0aNIjKlStHBQUF5OHhQStXrqSrV6/Sx48fKTg4mFRUVBSigb1UktEwe8a+StEM5RYWFlBRUcG6desAKNZSEkXnDs2ZMwcdO3ZEhw4dEBoaCgDIzs6Gr68vNDU1MWnSJMyZMwdNmzZFw4YNAQCOjo4YMGCATMrOSp4dO3ZARUUFAwYMwO3btwEAWVlZqF+/PgRBwLx588Rjs7Ky0LZtW3Tv3l0h5p5LXLt2DXXq1BHXgJfw8/ODIAjw8vJCQkKCuD0oKAiCIGDPnj0/uqiMMVYqLF68GCoqKkhISEB6ejpu374NY2NjnD59Wur5M3v2bBgZGaFz585wdXWFnZ2dmG9HkZ5Tn1q5ciWMjY0RFBQkLq8mMXv2bAiCgKioKHEVFgC4cuWK1HGcl0h+leyuRMaKQJGhOhs3biQ1NTVq1qwZBQUFUfXq1cnV1VVh5ttIzmHkyJG0fPly6tOnD718+ZI2b95Mx44do507d9LmzZtp1KhRtHPnTsrIyCBTU1PatGkTERGpqamRpaWlLE+ByVhBQYE4VaJNmza0c+dO6tKlC+Xl5VFERARZWFhQZGQkTZgwgX7//XeytbWlJ0+e0Nq1a+nJkyd0/vx5uc3b8DmPHz+m9PR0atSokVhPDBo0iM6fP087duyg2bNn04oVKyg/P586depECxcuJHNzc2ratKmsi84YYwpn69atFBQURNu2bSNvb28iIjI2NqayZcvSqlWraMSIEeTr60u+vr4UEBBAgiDQgQMHqE6dOjR//nxSVlZW6B7ijRs3UnBwMK1atYq8vLxIR0dHav/QoUOpoKCAwsPDKTc3l3x8fOiXX36hly9f0okTJ8Rnt6L+PqWCbNsIGPtnivYsS9bMvHz5Mt6/f4+uXbtCS0sLJ06ckPrMw4cPf3Qxv6mrV6/CzMxMqifv7t27sLOzQ/369cVtb9++RWZmpvj3mDFjYGRkJPaYstIpKyur2LZdu3ZBV1cXP//8Mx4/foy8vDzs2rULnp6eqFSpElxcXNC1a1cxe7kitcBPnjwZFStWlNr27NkzPH78GEBhT7u7uzvc3Nxw7949qeMUaZQOY4zJWlZWFgYMGABzc3PExMSI2zt06ABDQ0NERESgTZs2UFVVRWRk5Ge/Q5Hr5dTUVDRu3Bjz58+X2p6eno5Tp04hKSlJ3DZ79mxUqFABtWrVgpOTk/j8ZvKPe9KZXJD0LD948IBu3bpFv/76q5i5c86cOSQIAnl5edH27dvJ2dmZevXqRUZGRjR79mxZFvs/SUtLo3fv3pG1tTURFY4kqF69OsXGxlLr1q1p/fr15O/vT9ra2qSsrEy3bt2imTNn0rZt22j37t3i3GNW+sTFxVF0dDT179+fjI2NqUOHDpSTk0OtWrWijRs3UteuXSk/P58mTpxIrVq1olatWtG9e/dIX1+fNDU1FTJ7uYWFBWVmZtIff/xBzZs3JyIS59sXFBSQtbU1+fj40JEjR4qtratIvwNjjMmampoajRs3jtTU1Gjjxo1EVJj07P79+5ScnExmZmZERNSzZ09auXIlDR8+nCpVqiR+HoDC18upqalSeYUWLVpEBw8epPj4eDIyMiJTU1NKSkqioUOHUuPGjSkzM5Pq1atHysrKCvf8Lq3kf1wwKzUWLVpEzs7OdOvWLapataq4vXLlyhQTE0Pt27enxo0bk5ubG50/f56mT58uw9L+d9bW1qShoUEJCQlE9L9kVSYmJqShoUHv378nov8l86pcuTL5+fnR8ePHxWRyrPR5+/YtzZkzh65evUrr1q2j0NBQcnBwIH9/f9q/fz+5ubnR3r17afv27TRz5ky6du0aERFVr16dypYtKw5xV7QHvLOzM6moqNCSJUvo4cOHUvuUlJQoPT2djh07RpaWllJZ8BljjH17hoaGFBkZSXXr1qU5c+bQwYMHaceOHWRmZkYZGRlEVLj8pampqbjEmIQiTMH6O+/fv6edO3fSwYMHqVOnTrRo0SLS09OjvXv3UkxMDKWkpNCkSZOIiMje3p5cXV3FKQCK9vwurfhfkcmNn376iZYtW0YXLlygq1evUs2aNcUe9sqVK9Pq1aupXbt29O7dOwoICJC71sRPl3hSU1Mjb29vSkxMJENDQ+rSpQsREWlqapKurq6Y7R3/P+9IV1eXmjVrJrPys5KhXLlyNHfuXAoPD6e3b9/S4cOHaefOnbRv3z4KDAyk7Oxs+vnnn8nW1pZWrlxJ79+/p0mTJpGJiYn4HYr4AlS9enVavHgxBQYGkpqaGoWHh5O9vT0RET18+JD69u1LqamptGXLFiLiZdYYY+x7MzAwoDFjxpCSkhIlJyfThg0bKCwsjDQ1NSkvL482b95M1atXJz09PVkX9YfS09Oj1atXk6+vLx08eJC0tbUpJiaG7OzsqGLFivT27VvS0dEp1nhBJP+rsLD/4XXSWYn0pQRwWVlZ5OTkRESF6x1L/vtzL9TykFDkwIEDdOLECRozZgwRFT/v69ev0+jRo+nRo0fk4OBATk5OtGnTJnr16hWdP3++xJ8fkw0AdO7cOfLz8yMrKyvatm0blSlThq5evUoPHjygNWvWUFpaGv3xxx/k7u5OR44cUYiEi38nPz+fVq1aRQMHDiR9fX2ysbGhvLw8Sk9PJyKiY8eOkaqqqlzUHYwxpihSUlIoKiqKTp8+TX5+fhQWFkY+Pj509+5dunjxYqld5/vly5f04cMHcfi/xNu3b6ldu3bUo0cP6tevn4xKx743DtJZiVM0UD1w4AA9fvyYqlatSgYGBlSrVi3KyMgge3t7Klu2LK1YsYIcHR2JSP56vrKzsykkJIROnDhBAQEBFB4eTkT/O3/J+dy5c4e2bt1K69ato3LlypGhoSGtXbuWgwkmysrK+uzasGfPnqXOnTuTgYEBHT16VBxVkpeXR0pKSrR//35q2rQpKSsrK8zKCP/EhQsXaPny5eLUGUdHR+rfv7/cjb5hjDFFkZKSQlOmTKFz587RnTt3SFdXl65cuUKqqqpcLxfx8uVLCgwMpFevXlFycjK/AyowDtJZiRUeHk5xcXGko6NDmZmZVL58eRo1ahR17tyZMjIyyNHRkbS0tGjBggXk4uIi6+J+lWfPntH06dPp5MmT1KFDB4qIiCCi/y2fJWl0yMvLEyviotv4ocXWrVtHqampNGzYMJJU5wDEgPv8+fPUqVMnMjQ0pEOHDpGqqirl5ORQmTJlxO/gxp5C/DswxpjspKSkUEREBL18+ZK2bdvGAXoRr169ouXLl1NSUhKlpqZScnIyd9YouNLRbcLkTlxcHK1evZo2bdpEly5dot9++43c3Nxo+PDhtGXLFtLU1KTz58/TvXv3aPHixbIu7lczMjKiyMhIcnZ2pi1bttC0adOIiMSedCKiFy9e0E8//UQbN24UA3RFTOzF/h0AlJeXRzNnziRNTU1xG1Hh9fPHH39QYmIiOTg40KZNm+jFixfUrFkzys3NlQrQiUrnHLbPtU+Xxt+BMcZKCgMDA4qJiaEdO3ZwgP6JJ0+eUHJyMllYWNDx48fF34efW4qLr3xWIl2+fJnc3d3Jw8ODiIjq169PFSpUoPfv39OaNWvI09OTdHV1KSUlRe4rKAMDAxo9ejRFRUXRli1bCABFRkaSkpISPX/+nPz8/Cg1NZViY2PFz8jTsH72fUiWSUtLSyM1NTVxmyAItGXLFjHRIhGRk5MTbdy4kRo3bkxDhgyhhQsXyrLoJQLfQ4wxVvKUL1+eiApHFHKA/j/29va0du1aKleuHAmCwFncSwHuSWclkra2Nj18+JDevHkjbqtZsyZ5enrS0aNHKTMzk4iIypQpIy45Ic8kgbqzszNt3bqVZsyYQa9fv6bu3bvT27dv6erVq6SioiL358m+PW1tbdLX1yeiwsBz37595O/vTzNmzBBXBCAqDNTPnj1L8+bNk1VRGWOMsX+ktORI+Td0dXXFZVLlvYOK/T2+A5hMfW75CCKiWrVq0Zs3b2jbtm1i5mUiIisrK6pSpQplZ2dLHa8IlZUkUK9Xrx7Fx8eTubk5paSk0IULF3hYExMdOHCAJk+eTEREqqqq9PHjR9LW1hb3V6pUiVatWkX9+/cXt0mGdltaWipEoxZjjDFWWvFIsNKBx0kwmSmaTXrr1q304cMHys/Pp4CAAOrQoQMdPXqUIiMj6d27d9SwYUOqVKkSTZw4kSpWrEimpqYyLv33YWBgQKNGjaKIiAiqUKECJ05hUrKzs2nTpk108uRJKlu2LPXu3Zuys7MpNzdXPMbR0VFc8UDi0wc6N/YwxhhjjJVcnN2dyUTR5dJCQ0Np9erVZGRkRE+fPiUzMzOaO3cuNWjQgCIjI2nPnj1048YNsrS0JDU1NTGjpSIvGfX27VsqV64cKSkpcYDOpEhWBDh16hS5ublRYmIide/enbS1tamgoECcn56dnU3Pnz+nLl26UL169WRcasYYY4wx9k9xkM5k6smTJ+Tr60tLliwRe8d9fHzo7du3FBcXR3Z2dnTjxg0xQZybm1upWstYkRsi2Nd7/vw5RUVF0eHDh+natWtkbm5O2tra9PHjR3H5PnV1dapQoQLt37+/VNwrjDHGGGOKgoN0JjOzZ8+mHTt2ULly5SguLo7U1NRISUmJ8vPzqV69eqSrq0sHDhwo9jleE5KxwvVkp06dSufOnaPGjRuL89RzcnJIRUVFXMZPkgWW7xnGGGOMMfnAXXRMJrKysignJ4euXbtGt27dIg0NDVJSUqKMjAxSVlamWbNm0YULF+jGjRvF1jPmYIOxwvwFkZGR5ODgQPv27aOpU6cSUeGKB5LEcJwFljHGGGNM/nCQzn6IT7O4q6ur008//USjR4+mW7duUVhYGBERaWpqEhFRbm4u6ejokJqaGmexZOwLDA0NafTo0VS/fn3asWMHjRkzhogKs75L8P3DGGOMMSZfeKIi++6Kzqu+efMm5ebmkqWlJRkYGFCfPn0oNzeXIiMjKScnh/r27UtKSko0a9YsMjY2Vtgs7ox9K5IVAUaMGEGpqalSSRkZY4wxxpj84Tnp7IcZOXIkxcbGUl5eHqmqqlJ4eDj5+/tThQoVaN68eTRmzBjKzc2lAQMGUEpKCsXGxpKGhgYnT2PsH3jz5g3p6upKzUVnjDHGGGPyh3vS2XdTNLjevn07rVq1ipYuXUpVq1al9evX05IlSyglJYUiIyOpT58+pKqqSlOnTiVlZWXatGkTERXOXVdXV5flaTAmFypUqEBEvCIAY4wxxpi84yCdfTeSQGHVqlWUlZVFYWFh5OPjQ0RE9vb2ZGBgQLNnz6Z69epRx44dqXPnzlRQUEDjx48nbW1tmjhxIgfojP1LHKAzxhhjjMk3Hu7OvqtXr16Ri4sL3b9/nwYOHEjz58+XWuPcz8+Pnj59SsePHyciEtdHDwkJoYkTJ4qJsBhjjDHGGGOsNOCedPbdFBQUUKVKlWjLli00dOhQ2rVrFz19+pSMjY3FObO2trb07t07cYhu+fLlyd/fn1RVValx48ayPgXGGGOMMcYY+6G4J519F1OmTKHs7GwaPXo0lSlThq5evUr+/v5UUFBA8fHxpKenRxoaGtSiRQsyMDAQ56BL8LxaxhhjjDHGWGnEPensu1BVVaUxY8aQlpYWDRkyhGrXrk3r16+nHj16UP369cnMzIzq1KlDaWlpdODAASIiqYzUHKAzxhhjjDHGSiPuSWf/2Zd6vRcuXEjBwcE0depUCg0NpTJlytCVK1coNDSUTp06RcnJyVSnTh0iIql56owxxhhjjDFWWnGQzr6Za9euUa1ataS2zZ8/n0JCQmjq1Kk0dOhQUlNToytXrpC/vz8pKSnR8ePHSVNTk4e3M8YYY4wxxhgRcVTEvlp2drb43wcPHiQbGxuKi4uTOiY4OJimTZtGY8eOpeXLl1NmZibZ2NjQhg0bSFlZmaytrenDhw8coDPGGGOMMcYYcZDOvtK+ffto7ty5dPr0aSIiatKkCQ0fPpz69u1L69evlzrW29ubNDQ0aPDgwRQfH09ERLVr16aVK1dSlSpVKDU19YeXnzHGGGOMMcZKIp4EzP61VatW0dixY8nHx0dqmbQZM2aQkpIS9erVi4iI/P39iYhITU2NgoODyd7enjp06CAeb2dnRwcPHqQyZcr8yOIzxhhjjDHGWInFQTr7VzZu3EjBwcG0atUq8vLyIh0dHan906ZNo/z8fAoICKDbt29T7dq1ac2aNQSAoqKiiEg6SRwH6IwxxhhjjDH2P5w4jv1jL1++pM6dO1OnTp1o0KBB4vYPHz7QtWvXKD8/n1xdXYmIaPr06TRv3jzS0tKiypUr0/79+0lVVVVWRWeMMcYYY4wxucA96exfSU1NJWNjY/HvRYsW0cGDByk+Pp4MDQ2pevXqdPToURoxYgR16dKFVFVVycDAgJSUlHiZNcYYY4wxxhj7G5w4jv0r79+/p507d9LBgwepU6dOtGjRItLT06O9e/fSnDlz6NmzZzRp0iQiIqpatSoZGRmRkpISFRQUcIDOGGOMMcYYY3+Doyb2j+np6dHq1avJ19eXDh48SNra2hQTE0N2dnZUsWJFevv2Leno6FBBQQEREQmCIH6Wl1hjjDHGGGOMsb/HQTr7V5o2bUq3b9+mDx8+kJmZWbH92traZGRkJIOSMcYYY4wxxpj848Rx7Jt4+fIlBQYG0qtXryg5OZmUlZVlXSTGGGOMMcYYkzvck87+k1evXtHy5cspKSmJUlNTxQA9Pz+fA3XGGGOMMcYY+5d4ojD7T548eULJyclkYWFBx48fJ1VVVcrLy+MAnTHGGGOMMca+Ag93Z/9ZWloalStXjgRB4B50xhhjjDHGGPsPOEhn3wwAqYzujDHGGGOMMcb+HR7uzr4ZDtAZY4wxxhhj7L/hIJ0xxhhjjDHGGCshOEhnjDHGGGOMMcZKCA7SGWOMMcYYY4yxEoKDdMYYY4wxxhhjrITgIJ0xxhhjjDHGGCshOEhnjDHGGGOMMcZKCA7SGWOMMfafHD58mARBoLS0tH/8mWrVqlFMTMx3KxNjjDEmrzhIZ4wxxhRcr169SBAEGjBgQLF9gwYNIkEQqFevXj++YIwxxhgrhoN0xhhjrBSoUqUKbdy4kTIzM8VtWVlZtH79eqpataoMS8YYY4yxojhIZ4wxxkoBR0dHqlKlCiUkJIjbEhISqGrVquTg4CBuy87OppCQEKpcuTKpq6uTh4cHnTlzRuq7du3aRTVr1iQNDQ3y9PSkBw8eFPv/S0pKogYNGpCGhgZVqVKFQkJC6OPHj9/t/BhjjDFFwUE6Y4wxVkr8/PPPtGrVKvHvlStXUmBgoNQxI0aMoPj4eIqNjaU///yTLCwsqGXLlvTmzRsiInr8+DF17NiRvL296cKFC9SnTx+KjIyU+o67d++Sl5cX+fr60qVLl+i3336jpKQkCg4O/v4nyRhjjMk5DtIZY4yxUqJHjx6UlJREDx8+pIcPH1JycjL16NFD3P/x40datGgRzZgxg1q1akW1atWiZcuWkYaGBq1YsYKIiBYtWkTm5uY0c+ZMsrS0pO7duxebzz516lTq3r07DR06lGrUqEFubm40d+5cWrNmDWVlZf3IU2aMMcbkjoqsC8AYY4yxH0NPT4/atGlDq1evJgDUpk0bqlSpkrj/7t27lJubS+7u7uI2VVVVqlevHl2/fp2IiK5fv04uLi5S3+vq6ir198WLF+nSpUsUFxcnbgNABQUFdP/+fbK2tv4ep8cYY4wpBA7SGWOMsVLk559/FoedL1iw4Lv8f3z48IH69+9PISEhxfZxkjrGGGPsr3GQzhhjjJUiXl5elJOTQ4IgUMuWLaX2mZubU5kyZSg5OZlMTU2JiCg3N5fOnDlDQ4cOJSIia2tr2r59u9TnTp48KfW3o6MjXbt2jSwsLL7fiTDGGGMKiuekM8YYY6WIsrIyXb9+na5du0bKyspS+8qWLUtBQUEUHh5Oe/bsoWvXrlHfvn0pIyODevfuTUREAwYMoNu3b1N4eDjdvHmT1q9fT6tXr5b6noiICDp+/DgFBwfThQsX6Pbt27Rt2zZOHMcYY4z9AxykM8YYY6WMjo4O6ejofHZfdHQ0+fr6UkBAADk6OtKdO3do7969VL58eSIqHK4eHx9PW7duJTs7O1q8eDFNmTJF6jtsbW3pyJEjdOvWLWrQoAE5ODjQuHHjyMjI6LufG2OMMSbvBACQdSEYY4wxxhhjjDHGPemMMcYYY4wxxliJwUE6Y4wxxhhjjDFWQnCQzhhjjDHGGGOMlRAcpDPGGGOMMcYYYyUEB+mMMcYYY4wxxlgJwUE6Y4wxxhhjjDFWQnCQzhhjjDHGGGOMlRAcpDPGGGOMMcYYYyUEB+mMMcYYY4wxxlgJwUE6Y4wxxhhjjDFWQnCQzhhjjDHGGGOMlRD/B8pCOPlG/0ToAAAAAElFTkSuQmCC"},"metadata":{}}]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]} \ No newline at end of file diff --git a/Fictional Character Battle Outcome Prediction/Results/evaluation_results.csv b/Fictional Character Battle Outcome Prediction/Results/evaluation_results.csv new file mode 100644 index 000000000..10e7c863a --- /dev/null +++ b/Fictional Character Battle Outcome Prediction/Results/evaluation_results.csv @@ -0,0 +1,12 @@ +Model,Accuracy,Precision,Recall,F1 Score +Random Forest,0.7377398720682303,0.6640658631080499,0.6383707737690039,0.6467789636106468 +Support Vector Classifier,0.7739872068230277,0.7218562147064181,0.6658157476741547,0.6812224274135632 +Logistic Regression,0.7633262260127932,0.7024064171122995,0.6631835715906512,0.6754932211313699 +Decision Tree,0.7142857142857143,0.6414804016844833,0.6387451781257091,0.6400407807917888 +K-Nearest Neighbors,0.7356076759061834,0.6616833508956796,0.639267075107783,0.6469745532245532 +Gradient Boosting,0.7739872068230277,0.7170720931441343,0.68952802359882,0.6999251533149837 +AdaBoost,0.7825159914712153,0.7281918530819576,0.712026321760835,0.7189835048639504 +CatBoost,0.7611940298507462,0.6993328391401038,0.6830496936691627,0.6898001606273917 +Extra Trees,0.7505330490405118,0.6828282828282828,0.6519627864760609,0.6620309064368906 +XGBoost,0.7270788912579957,0.6569308087891539,0.6523371908327661,0.6544642446010038 +Bagging Classifier,0.7526652452025586,0.6860840108401084,0.6558089403222147,0.6659051830017195 diff --git a/Fictional Character Battle Outcome Prediction/Results/evaluation_results_with_stacking.csv b/Fictional Character Battle Outcome Prediction/Results/evaluation_results_with_stacking.csv new file mode 100644 index 000000000..c7e3c951a --- /dev/null +++ b/Fictional Character Battle Outcome Prediction/Results/evaluation_results_with_stacking.csv @@ -0,0 +1,13 @@ +Model,Accuracy,Precision,Recall,F1 Score +Random Forest,0.7377398720682303,0.6640658631080499,0.6383707737690039,0.6467789636106468 +Support Vector Classifier,0.7739872068230277,0.7218562147064181,0.6658157476741547,0.6812224274135632 +Logistic Regression,0.7633262260127932,0.7024064171122995,0.6631835715906512,0.6754932211313699 +Decision Tree,0.7142857142857143,0.6414804016844833,0.6387451781257091,0.6400407807917888 +K-Nearest Neighbors,0.7356076759061834,0.6616833508956796,0.639267075107783,0.6469745532245532 +Gradient Boosting,0.7739872068230277,0.7170720931441343,0.68952802359882,0.6999251533149837 +AdaBoost,0.7825159914712153,0.7281918530819576,0.712026321760835,0.7189835048639504 +CatBoost,0.7611940298507462,0.6993328391401038,0.6830496936691627,0.6898001606273917 +Extra Trees,0.7505330490405118,0.6828282828282828,0.6519627864760609,0.6620309064368906 +XGBoost,0.7270788912579957,0.6569308087891539,0.6523371908327661,0.6544642446010038 +Bagging Classifier,0.7526652452025586,0.6860840108401084,0.6558089403222147,0.6659051830017195 +Stacking Classifier,0.7569296375266524,0.6924390243902439,0.6611300204220558,0.671665438467207 From af70f79b9beffa57dc88b21b55dcca2ad12325de Mon Sep 17 00:00:00 2001 From: adi271001 <67856422+adi271001@users.noreply.github.com> Date: Wed, 24 Jul 2024 11:29:46 +0530 Subject: [PATCH 2/4] Create README.md --- .../README.md | 119 ++++++++++++++++++ 1 file changed, 119 insertions(+) create mode 100644 Fictional Character Battle Outcome Prediction/README.md diff --git a/Fictional Character Battle Outcome Prediction/README.md b/Fictional Character Battle Outcome Prediction/README.md new file mode 100644 index 000000000..adf3bbfea --- /dev/null +++ b/Fictional Character Battle Outcome Prediction/README.md @@ -0,0 +1,119 @@ +# Fictional Character Battle Outcome Prediction Project + +## Goal +The goal of this project is to predict the outcomes of battles between fictional characters using various machine learning models. + +## Dataset +The dataset used for this project is the ["Fictional Character Battle Outcome Prediction"](https://www.kaggle.com/datasets/rabieelkharoua/fictional-character-battle-outcome-prediction/data) dataset from Kaggle. + +## Description +The dataset contains features related to fictional characters and the outcomes of their battles. The features include attributes such as strength, intelligence, speed, durability, power, and combat skills of the characters. The target variable is the outcome of the battle. + +## What I Had Done +1. **Data Preprocessing**: + - Loaded the dataset. + - Handled missing values. + - Encoded categorical variables. + - Split the data into training and testing sets. + +2. **Exploratory Data Analysis (EDA)**: + - Visualized the distribution of features. + - Analyzed the correlation between features. + - Examined the class distribution of the target variable. + +3. **Model Training and Evaluation**: + - Trained multiple machine learning models. + - Evaluated the performance of each model using accuracy, precision, recall, and F1 score. + - Implemented a stacking classifier as an ensemble method. + +## Models Implemented +The following machine learning models were implemented and evaluated in this project: + +1. **Random Forest**: + - A versatile ensemble learning method that operates by constructing multiple decision trees during training and outputs the mode of the classes for classification. + +2. **Support Vector Classifier (SVC)**: + - A supervised learning model that analyzes data for classification by finding the hyperplane that best separates the classes. + +3. **Logistic Regression**: + - A statistical model that in its basic form uses a logistic function to model a binary dependent variable. + +4. **Decision Tree**: + - A decision support tool that uses a tree-like graph of decisions and their possible consequences. + +5. **K-Nearest Neighbors (KNN)**: + - A simple, instance-based learning algorithm that assigns a class to a sample based on the majority class among its k-nearest neighbors. + +6. **Gradient Boosting**: + - An ensemble technique that builds models sequentially, each new model correcting errors made by previous models. + +7. **AdaBoost**: + - A boosting algorithm that combines the predictions of several base estimators to improve robustness over a single estimator. + +8. **CatBoost**: + - A high-performance library for gradient boosting on decision trees, especially well-suited for categorical data. + +9. **Extra Trees**: + - An ensemble learning method similar to Random Forest but with more randomness in the splitting of nodes. + +10. **XGBoost**: + - An optimized distributed gradient boosting library designed to be highly efficient, flexible, and portable. + +11. **Bagging Classifier**: + - An ensemble meta-estimator that fits base classifiers each on random subsets of the original dataset and then aggregates their predictions. + +12. **Stacking Classifier**: + - An ensemble learning technique that combines multiple base classifiers via a meta-classifier. The base classifiers are trained on the training dataset, and the meta-classifier is trained on the outputs of the base classifiers. + +## Libraries Needed +The following libraries were used in this project: +- pandas +- numpy +- matplotlib +- scikit-learn +- xgboost +- catboost +- mlxtend + +## EDA Results +- Visualizations of feature distributions showed that most features are normally distributed. +- Correlation analysis indicated that certain features like strength and power have a high correlation. +- The target variable was found to be balanced, with a nearly equal distribution of battle outcomes. + +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___13_0.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___14_0.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___15_1.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___15_3.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___15_5.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___16_1.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___17_0.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___18_0.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___19_0.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___20_0.png?raw=true) + +## Performance of the Models based on Accuracy Scores + +| Model | Accuracy | Precision | Recall | F1 Score | +|-------------------------|----------|-----------|--------|----------| +| Random Forest | 0.752665 | 0.686600 | 0.662923 | 0.671616 | +| Support Vector Classifier | 0.773987 | 0.721856 | 0.665816 | 0.681222 | +| Logistic Regression | 0.763326 | 0.702406 | 0.663184 | 0.675493 | +| Decision Tree | 0.710021 | 0.638167 | 0.638167 | 0.638167 | +| K-Nearest Neighbors | 0.735608 | 0.661683 | 0.639267 | 0.646975 | +| Gradient Boosting | 0.773987 | 0.717072 | 0.689528 | 0.699925 | +| AdaBoost | 0.782516 | 0.728192 | 0.712026 | 0.718984 | +| CatBoost | 0.761194 | 0.699333 | 0.683050 | 0.689800 | +| Extra Trees | 0.733475 | 0.658311 | 0.635421 | 0.643107 | +| XGBoost | 0.727079 | 0.656931 | 0.652337 | 0.654464 | +| Bagging Classifier | 0.739872 | 0.667861 | 0.644588 | 0.652669 | +| Stacking Classifier | 0.752665 | 0.687412 | 0.670036 | 0.676997 | + +## Conclusion +Among the models evaluated, **AdaBoost** achieved the highest accuracy of 78.25%. This model is the best performer due to its ability to adaptively adjust the weights of misclassified instances, leading to improved performance in the prediction task. AdaBoost’s strong performance across multiple metrics, including precision, recall, and F1 score, highlights its effectiveness in handling this classification problem. + +## Signature +- **Name:** Aditya D +- **Github:** [https://www.github.com/adi271001](https://www.github.com/adi271001) +- **LinkedIn:** [https://www.linkedin.com/in/aditya-d-23453a179/](https://www.linkedin.com/in/aditya-d-23453a179/) +- **Topmate:** [https://topmate.io/aditya_d/](https://topmate.io/aditya_d/) +- **Twitter:** [https://x.com/ADITYAD29257528](https://x.com/ADITYAD29257528) From f0f963e82f93dfc46dbde8dae15ec4cad5d06882 Mon Sep 17 00:00:00 2001 From: adi271001 <67856422+adi271001@users.noreply.github.com> Date: Wed, 24 Jul 2024 11:38:38 +0530 Subject: [PATCH 3/4] Create README.md --- .../Models/README.md | 77 +++++++++++++++++++ 1 file changed, 77 insertions(+) create mode 100644 Fictional Character Battle Outcome Prediction/Models/README.md diff --git a/Fictional Character Battle Outcome Prediction/Models/README.md b/Fictional Character Battle Outcome Prediction/Models/README.md new file mode 100644 index 000000000..6edcfa651 --- /dev/null +++ b/Fictional Character Battle Outcome Prediction/Models/README.md @@ -0,0 +1,77 @@ +# Models Implemented in Fictional Character Battle Outcome Prediction Project + +This document provides details on the machine learning models implemented in the "Fictional Character Battle Outcome Prediction" project. + +## Models and Their Accuracies + +1. **Random Forest**: + - Accuracy: 75.27% + - A versatile ensemble learning method that operates by constructing multiple decision trees during training and outputs the mode of the classes for classification. + +2. **Support Vector Classifier (SVC)**: + - Accuracy: 77.40% + - A supervised learning model that analyzes data for classification by finding the hyperplane that best separates the classes. + +3. **Logistic Regression**: + - Accuracy: 76.33% + - A statistical model that in its basic form uses a logistic function to model a binary dependent variable. + +4. **Decision Tree**: + - Accuracy: 71.00% + - A decision support tool that uses a tree-like graph of decisions and their possible consequences. + +5. **K-Nearest Neighbors (KNN)**: + - Accuracy: 73.56% + - A simple, instance-based learning algorithm that assigns a class to a sample based on the majority class among its k-nearest neighbors. + +6. **Gradient Boosting**: + - Accuracy: 77.40% + - An ensemble technique that builds models sequentially, each new model correcting errors made by previous models. + +7. **AdaBoost**: + - Accuracy: 78.25% + - A boosting algorithm that combines the predictions of several base estimators to improve robustness over a single estimator. + +8. **CatBoost**: + - Accuracy: 76.12% + - A high-performance library for gradient boosting on decision trees, especially well-suited for categorical data. + +9. **Extra Trees**: + - Accuracy: 73.35% + - An ensemble learning method similar to Random Forest but with more randomness in the splitting of nodes. + +10. **XGBoost**: + - Accuracy: 72.71% + - An optimized distributed gradient boosting library designed to be highly efficient, flexible, and portable. + +11. **Bagging Classifier**: + - Accuracy: 73.99% + - An ensemble meta-estimator that fits base classifiers each on random subsets of the original dataset and then aggregates their predictions. + +12. **Stacking Classifier**: + - Accuracy: 75.27% + - An ensemble learning technique that combines multiple base classifiers via a meta-classifier. The base classifiers are trained on the training dataset, and the meta-classifier is trained on the outputs of the base classifiers. + +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___25_0.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___25_1.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___25_2.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___25_3.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___25_4.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___25_5.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___25_6.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___25_7.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___25_8.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___25_9.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___25_10.png?raw=true) +![eda-1](https://github.com/adi271001/ML-Crate/blob/Fictional-Character-Battle/Fictional%20Character%20Battle%20Outcome%20Prediction/Images/__results___25_11.png?raw=true) + +## Conclusion +Among the models evaluated, **AdaBoost** achieved the highest accuracy of 78.25%. This model is the best performer due to its ability to adaptively adjust the weights of misclassified instances, leading to improved performance in the prediction task. AdaBoost’s strong performance across multiple metrics, including precision, recall, and F1 score, highlights its effectiveness in handling this classification problem. + +## Signature + +**Name:** Aditya D +**Github:** [https://www.github.com/adi271001](https://www.github.com/adi271001) +**LinkedIn:** [https://www.linkedin.com/in/aditya-d-23453a179/](https://www.linkedin.com/in/aditya-d-23453a179/) +**Topmate:** [https://topmate.io/aditya_d/](https://topmate.io/aditya_d/) +**Twitter:** [https://x.com/ADITYAD29257528](https://x.com/ADITYAD29257528) From 6ac93554bc382ece18cf6223bb80259494e77c3c Mon Sep 17 00:00:00 2001 From: adi271001 <67856422+adi271001@users.noreply.github.com> Date: Wed, 24 Jul 2024 11:42:14 +0530 Subject: [PATCH 4/4] Create requirements.txt --- .../requirements.txt | 9 +++++++++ 1 file changed, 9 insertions(+) create mode 100644 Fictional Character Battle Outcome Prediction/requirements.txt diff --git a/Fictional Character Battle Outcome Prediction/requirements.txt b/Fictional Character Battle Outcome Prediction/requirements.txt new file mode 100644 index 000000000..011eb943d --- /dev/null +++ b/Fictional Character Battle Outcome Prediction/requirements.txt @@ -0,0 +1,9 @@ +pandas==2.0.3 +numpy==1.24.3 +seaborn==0.11.2 +matplotlib==3.7.1 +scikit-learn==1.2.2 +scipy==1.10.1 +xgboost==1.7.6 +catboost==1.2 +mlxtend==0.22.0