image
image
output_json_dumpsed
string
"40 0 4 2 ###\n57 9 12 7 LOVIS\n0 15 8 5 SSHA\n58 15 9 2 DIAMONDS\n38 23 2 2 ###\n26 29 2 20 ###\n43 29 4 2 ###\n64 31 3 2 LOVS\n26 38 3 4 15%\n50 38 2 2 ###\n73 39 2 2 ###\n98 41 1 3 ###"
"65 8 7 3 ###\n67 10 6 3 chrec\n77 16 8 2 ###\n31 19 9 6 Admire\n29 36 3 4 $12\n26 37 1 4 ###\n27 37 2 4 for\n29 40 2 3 $20\n26 41 1 4 ###\n27 41 2 3 for\n38 90 4 3 ###"
"13 17 3 6 HAS\n7 19 6 5 STABILITY\n14 22 5 6 FASTER\n11 23 3 6 BEEN\n7 24 4 5 NEVER\n89 24 9 4 ###\n33 27 7 8 NIKE"
"5 12 1 16 ###\n10 14 1 6 ###\n13 35 5 2 LENOVO\n36 35 5 2 lenovo\n20 36 3 2 ###\n76 36 3 3 ###\n15 37 2 6 ###\n55 37 3 2 ###\n21 38 2 3 ###\n14 39 1 2 ###\n36 39 4 1 ###\n36 41 3 1 ###\n21 43 3 2 ###\n16 54 7 3 YOGA\n45 57 6 2 ###\n53 57 5 2 ###\n85 57 3 2 1099\n38 58 3 2 999\n18 60 3 2 ###\n46 61 4 2 ###\n94 61 4 2 ###\n11 68 3 3 Office\n71 68 2 1 ###\n71 69 4 1 ###\n70 70 4 1 ###\n71 70 3 1 ###\n72 73 3 1 ###\n73 77 3 1 ###\n73 81 3 1 ###\n73 85 3 1 ###\n74 86 2 1 ###\n74 90 2 1 ###\n74 92 3 1 ###"
"35 7 3 6 ###\n38 7 1 5 ###\n29 8 6 7 Life\n32 13 8 7 riding\n40 15 1 4 ###\n11 21 5 4 LIVE\n14 26 1 2 ###\n12 30 4 4 LIFE\n14 34 2 2 ###\n13 38 5 6 Love\n26 50 2 3 ###\n44 82 5 4 ###\n41 83 2 4 ###\n43 87 6 3 ###\n45 90 7 6 ###\n42 93 3 3 ###\n45 96 7 3 ###\n39 97 6 5 PEP"
"61 18 4 3 bua\n65 18 3 3 ###\n20 19 2 3 ###\n22 19 10 3 HarbourFront\n58 20 3 2 CC22\n61 22 6 3 ###\n79 22 5 2 ###\n12 28 6 2 ###"
"54 0 3 15 ADU\n68 19 3 44 AUTHOR\n55 26 3 11 ###"
"58 35 13 2 ###\n65 52 4 5 HAS\n69 54 7 6 YOUR\n76 57 11 6 LOVED\n68 59 7 6 BEEN\n87 62 10 7 ONE\n75 63 22 7 ###"
"37 20 3 3 EXIT\n55 20 3 4 ###\n61 26 4 4 SALE\n47 27 3 2 ###\n46 28 7 4 arrival\n2 32 5 4 ###\n61 35 2 2 ###\n5 41 2 2 ###"
"58 9 8 5 BOUTIQUE\n57 13 2 4 ###\n53 19 4 4 ###\n47 26 5 4 ###\n58 31 3 4 ###\n60 38 3 2 ###"
"0 6 7 36 Blush!\n75 22 6 5 ###\n36 36 3 3 ###\n59 44 4 2 ###\n1 46 4 2 ###\n1 47 5 2 ###\n45 48 2 3 ###\n36 91 3 3 ###"
"21 18 4 3 ###\n4 20 10 3 ###\n21 21 3 2 ###\n25 23 4 2 ###\n21 24 3 3 ###\n25 25 4 2 ###\n25 27 3 2 ###\n45 45 3 1 ###\n25 50 5 3 ###\n35 50 3 2 Enjoy\n39 52 3 6 ###\n35 53 4 9 ###\n26 55 5 2 ###\n41 61 4 2 rebate\n36 62 5 2 SMARTS\n21 68 4 2 hour\n21 71 2 2 ###\n36 72 5 2 ###\n21 73 4 3 ###\n36 77 4 1 ###\n47 77 2 2 UOB\n25 78 2 2 ###\n36 78 10 1 ###\n25 80 3 2 ###"
"86 2 12 9 ###\n74 7 11 8 kate\n88 10 10 8 YORK\n81 15 7 6 NEW\n24 39 11 4 MARKETPLACE\n57 73 3 3 50%\n61 74 4 3 OFF"
"61 21 10 8 ISONS\n87 22 2 4 ###\n73 28 3 4 ###\n71 32 2 2 ###\n61 34 1 3 ###"
"50 35 10 3 guardian"
"22 46 5 4 ###\n34 47 4 3 ###\n41 47 4 3 ###\n5 53 10 10 GRAPHICS\n15 54 4 7 TEES\n13 63 3 17 ###\n15 63 5 20 ###\n2 67 6 24 ###\n8 68 6 10 FOR"
"30 21 18 6 PROOF\n34 28 12 2 ###"
"94 33 4 5 SAL\n30 38 5 2 dENiZEN\n95 41 4 7 ###\n83 44 2 4 SALE\n82 52 2 6 ###\n83 52 1 3 ###\n83 55 1 2 OFF"
"79 15 14 6 CREAM\n50 18 3 2 HOTTIS\n71 18 7 6 ICE\n46 19 3 2 CRATE\n32 22 9 6 Appetit!\n26 23 6 6 Bon\n37 26 4 2 ###\n34 27 1 2 ###\n36 27 2 2 ###\n22 28 4 2 Quick\n28 29 2 2 THE\n30 29 5 2 ###\n23 31 3 2 ###\n15 37 2 2 BIG"
"86 20 7 5 HOPE\n63 33 11 6 ###\n41 43 4 2 ###\n36 44 6 1 ###"
"61 6 2 4 ###\n58 8 2 3 ###\n63 8 4 3 ###\n54 11 4 3 ###\n52 12 2 3 ###\n39 15 12 8 LATINA\n57 20 12 5 ###"
"51 6 3 3 ###\n55 7 3 3 ###\n39 11 5 8 $10\n85 15 6 4 ###\n52 16 8 3 ALTERATION\n60 16 6 3 SERVICES\n54 37 7 14 $10\n89 89 8 4 ###"
"82 10 15 7 QUICKPICK\n77 26 2 1 ###"
"58 18 4 3 ###\n18 27 1 9 LD OF SPORTS\n33 50 12 2 ###\n24 52 6 2 union\n18 54 5 2 ###\n21 56 3 2 KEPT\n24 56 5 2 SECRET\n18 58 3 3 BEST\n25 58 3 2 good\n19 59 2 2 ###\n21 59 5 2 LOOKING"
"29 0 9 12 ###\n29 16 7 2 Genaxis Theatre\n39 16 2 2 [06]\n38 21 5 3 62-03\n29 22 3 2 ###\n39 26 4 2 ###\n29 28 4 2 Carpark"
"44 26 5 2 connexis\n44 28 2 2 ###\n46 28 2 2 ###\n45 33 1 1 ###"
"63 26 7 4 ###\n70 26 9 4 Organizer\n56 27 3 4 Files\n9 33 5 3 ###\n37 37 6 2 ###"
"88 1 3 2 ###\n11 31 2 2 ###\n44 32 6 2 MRBT\n31 46 2 2 ###\n52 47 3 3 ###\n41 52 3 2 ###\n31 53 1 3 ###\n42 54 3 2 ###\n42 56 3 7 ###\n49 61 5 3 SHARP\n54 62 3 6 ###\n49 73 5 2 ###\n44 74 5 3 AQUOS\n49 76 8 2 ###\n20 91 8 5 ARP\n28 92 7 8 ###\n35 94 1 3 ###\n51 96 7 8 ###"
"48 0 1 4 ###\n59 0 1 5 ###\n61 0 1 13 ###\n60 5 1 7 Alpha\n49 6 2 13 Alpha\n49 7 1 0 ###\n60 14 1 4 ###\n49 20 2 15 Ribbon\n53 53 8 2 ###\n51 60 4 1 ###\n53 60 4 1 ###\n51 62 3 0 ###\n42 63 3 1 ###\n50 63 2 1 ###\n66 64 3 3 ###\n28 65 9 1 ###\n44 66 4 4 ###\n31 70 6 3 AS1060SB\n40 70 2 2 ###\n20 71 8 1 ###\n53 71 5 2 ###\n7 73 8 2 ###\n44 76 7 3 AURORA\n44 81 5 7 ###\n13 85 5 4 cut\n45 88 5 3 SHEETS\n3 90 9 5 Strip\n8 92 10 2 wastebin\n0 93 1 3 ###\n3 94 5 2 with\n0 95 3 3 der\n24 97 8 3 S1060SB\n74 98 6 5 ###"
"8 23 13 4 SAMSUNG\n41 28 5 2 ###\n29 30 7 2 GERATOR\n1 34 4 2 SON\n65 78 3 3 ###\n64 83 5 4 ###\n65 88 4 3 ###"
"59 20 8 3 ###\n62 24 2 16 ###\n55 36 8 6 grand\n57 41 8 4 theft\n55 44 6 4 auto\n61 44 5 6 ###\n62 46 3 2 ###\n61 51 2 2 OUT\n64 51 3 3 ###\n55 65 7 5 ###\n57 69 8 4 ###\n55 72 6 4 ###\n61 79 5 3 ###\n55 92 7 5 ###\n57 96 7 3 ###"
"68 20 6 2 ###\n67 22 6 1 ###\n43 24 6 1 ###\n43 25 6 1 ARS\n76 31 14 3 iMOD\n80 33 8 1 ###\n16 40 2 1 ###\n16 42 3 1 ###\n81 43 8 4 multiply\n80 44 1 3 ###\n89 44 3 4 ###\n92 44 7 4 routes\n14 47 4 2 ###\n80 48 7 3 success\n88 48 5 3 with\n92 48 7 4 double\n80 52 3 3 It\u00b4s\n84 52 3 4 ###\n87 52 6 4 choice\n85 58 15 5 Murdoch\n85 64 14 3 UNIVERSITY\n85 67 3 2 ###\n89 68 5 2 ###\n93 68 7 2 ###"
"24 12 4 2 Connexis\n24 13 4 2 Symbiosis\n30 14 1 3 ###\n24 15 5 2 Fusionopolis\n26 17 2 2 Park\n24 18 2 2 Car\n32 26 3 2 ###\n40 26 2 1 ###"
"22 4 7 7 HAPPY\n70 13 8 6 Phoenix\n74 18 4 4 #02-81"
"10 8 6 4 sms\n15 8 4 3 ###\n13 12 4 3 ###\n36 12 6 3 Waxing\n4 27 25 7 L'OREAL\n5 35 24 3 PROFESSIONNEL\n7 43 5 4 #04-29\n0 50 10 9 ###\n6 57 4 3 ###\n0 59 6 4 ###\n1 68 7 6 $ 15\n9 78 5 10 $30\n0 87 7 9 one\n10 88 5 10 ###"
"69 0 3 2 ###\n65 3 4 3 SUSHI\n41 5 5 3 Healthy\n47 5 3 3 Fresh\n51 5 5 3 Delicious\n44 20 6 9 ###\n45 30 5 2 ###\n29 34 3 1 ###"
"69 0 28 30 MORE\n54 25 17 15 DISCOVER\n76 30 23 8 ###\n70 32 7 5 ###\n64 34 5 5 ###\n60 35 5 4 ###\n55 36 1 3 ###\n57 36 3 4 ###\n84 42 7 5 SHOPPES\n80 43 3 4 THE\n91 43 1 4 ###\n83 46 7 4 MARINA\n90 46 4 4 ###\n94 46 6 5 San\n94 51 7 3 INGAPO"
"3 14 3 2 ###\n12 14 2 2 ###\n12 16 2 2 ###\n18 28 6 5 CONNECTION\n48 34 4 2 dENiZEN\n1 36 2 2 ###\n12 48 3 3 ###\n2 52 4 2 ###"
"71 33 8 4 LEVEL\n25 41 10 2 ###\n64 41 14 41 ###\n27 44 3 2 ###\n30 44 1 2 ###\n30 45 4 2 ###\n61 52 26 4 ###\n62 58 21 6 ###\n32 68 2 2 ###\n25 69 4 1 ###\n27 87 4 4 Ion\n82 89 3 8 ###"
"65 24 3 3 EXIT\n10 28 27 30 COTTON\n35 41 4 13 ###\n62 42 5 4 ###"
"86 24 14 18 ###\n35 27 2 7 ###\n37 27 3 3 ###\n74 27 12 13 the\n31 28 2 6 ###\n36 30 3 3 ###\n37 37 3 2 ###\n37 38 3 3 ###\n38 41 2 2 ###"
"46 55 14 11 Dine\n24 70 17 13 Shop\n39 74 22 10 SMRT"
"52 16 6 2 ###\n47 21 2 2 Next\n49 21 4 1 custom\n64 39 6 3 Special\n79 39 3 2 NEW\n83 39 1 2 ###\n84 41 4 2 grain\n88 43 2 2 ###\n79 44 6 4 Special\n96 44 4 2 ###\n89 45 4 2 WIN\n42 50 1 3 ###\n43 50 2 2 ###\n95 51 5 3 ###\n53 56 4 1 PANAD\n47 57 2 1 ###\n64 58 4 2 Vanilla\n69 60 6 2 Almond\n53 61 4 1 ###\n77 62 6 3 Original\n64 66 1 2 ###\n93 70 7 2 Original\n93 84 7 3 Special"
"73 2 2 1 ###\n76 2 2 1 ###\n85 2 2 2 ###\n88 2 2 1 ###\n25 64 9 5 Shops\n17 65 14 4 Esplanade\n32 69 12 4 ahead\n31 74 15 5 Xchange\n1 88 12 21 Shop\n0 90 9 14 ###"
"34 21 3 3 EXIT\n13 22 8 6 ###\n43 25 4 3 ###\n21 29 2 4 ###\n23 31 4 4 ###\n82 47 5 2 ZARA"
"63 25 9 8 LITTLE\n56 29 7 8 JOHN\n34 41 3 2 ###\n34 42 5 3 ###\n35 45 5 2 ###\n33 46 2 2 ###"
"94 32 2 2 ###\n59 36 2 2 ###\n58 38 5 3 launch\n59 38 4 2 ###"
"33 1 1 3 ###\n34 2 2 3 you\n36 2 3 2 know\n39 2 2 2 that\n41 3 1 2 the\n31 5 4 2 average\n36 5 3 2 adult\n38 6 3 2 heart\n41 6 3 2 beats\n32 8 2 2 ###\n34 8 3 3 times\n64 8 5 3 HUMAN\n37 9 1 2 ###\n38 9 4 3 minute;\n70 9 3 3 BDT\n31 12 5 3 100,000\n36 12 3 2 times\n39 12 1 2 ###\n40 12 2 3 day;\n64 12 8 3 EXPIRIENCE\n30 15 6 3 36,000,000\n36 15 3 2 times\n39 16 1 2 ###\n40 16 2 2 yea\n63 16 8 1 ###\n63 18 2 2 ###\n65 18 2 2 ###\n67 18 2 2 ###\n31 19 9 2 #ilovesciencecentre\n63 20 5 1 ###\n39 43 4 2 Seating\n38 44 1 2 ###\n34 45 2 2 ###"
"96 10 4 6 ###\n87 11 8 7 Faces\n35 31 2 2 ###\n84 59 1 7 ###"
"29 12 5 8 ###\n30 29 4 3 Shops\n30 36 5 3 Gen is\n31 40 4 3 Theatre\n31 45 4 4 Fraser\n35 46 3 4 Place\n31 51 5 3 Nursing\n36 52 3 3 Room"
"39 18 5 2 Gom\n41 20 4 2 ###\n10 28 5 2 ###\n12 29 4 2 ###\n45 45 6 2 ###\n33 49 5 2 ###\n45 63 6 2 Rowente\n34 65 5 2 PHILIPS\n59 72 9 2 Rowente\n10 73 5 2 ###\n46 75 6 2 Rowenta\n36 82 5 2 PHILIPS\n27 85 4 2 ###\n29 87 4 2 ###"
"52 47 15 6 KEEP\n49 51 20 7 CALM\n52 61 8 5 AND\n47 63 19 8 STAY\n40 68 29 11 COOL"
"75 10 6 1 ###\n14 12 8 3 ###\n59 13 2 1 ###\n44 15 5 4 ###\n59 15 3 2 ###\n59 23 7 3 CELEBRATE\n60 25 3 3 NEW\n59 26 1 2 ###\n59 28 7 3 TRADITION\n60 30 10 2 ###\n60 36 4 4 ###"
"94 8 4 2 COURTS\n1 14 9 5 Aimer\n88 22 3 3 ###"
"66 13 8 9 BEGA\n20 20 7 4 LOVIS\n21 25 5 2 ###\n34 42 2 1 ###"
"57 12 4 5 THE\n61 13 4 5 RINK\n60 20 4 3 LEVEL\n64 22 1 2 ###\n14 27 5 3 ###\n91 27 7 3 ###\n21 32 3 2 ###\n20 34 3 7 ###\n21 41 3 4 ###\n20 45 4 2 ###\n76 63 3 2 ###\n76 66 2 2 ###\n76 68 2 2 ###\n76 69 3 2 ###"
"63 0 2 1 ###\n64 2 2 2 ###\n81 2 1 2 ###\n82 2 1 2 ###\n0 4 10 7 ###\n63 4 2 2 ###\n81 4 2 1 ###\n81 5 1 1 ###\n16 6 7 5 ###\n23 7 3 4 ###\n25 7 13 4 ###\n81 8 2 1 ###\n41 9 5 4 ###\n81 9 1 1 ###\n46 10 2 4 ###\n48 11 3 4 ###\n81 12 3 2 ###\n82 14 2 1 ###\n82 17 3 2 ###\n82 18 1 1 ###\n82 21 3 2 ###\n82 22 1 2 ###\n83 22 1 1 ###\n82 24 2 1 ###\n82 24 1 1 ###\n0 30 7 3 ###\n64 37 6 8 LEGO\n90 37 6 11 LEGO\n19 91 6 4 ###"
"47 7 5 5 Style\n35 10 11 5 Digital\n41 13 7 2 ###\n5 48 5 7 ###"
"35 0 9 5 ###\n45 0 10 8 BEEN\n56 0 7 3 ###\n35 5 9 8 NEVER\n60 5 5 3 ###\n63 6 6 5 ###\n69 6 5 4 ###\n52 7 2 4 ###\n19 10 4 12 ###\n44 10 8 4 STRUCTURE\n40 11 3 4 ZOOM\n0 12 6 5 ###\n38 12 2 4 AIR\n36 13 3 3 ###\n61 13 8 5 ###\n53 27 4 5 ###\n0 34 4 9 ###\n54 48 5 3 ###\n18 49 3 5 ###\n69 51 4 2 ###\n95 57 5 2 ###\n77 59 9 3 ###\n95 65 4 2 ###"
"39 10 3 3 EXIT\n48 14 3 30 Payless\n50 16 1 14 SHOESOURCE\n33 17 2 3 ###\n89 17 7 2 ###\n67 20 3 3 ###"
"94 22 5 4 IPAL\n89 46 11 2 ###\n94 51 6 4 Stude\n89 52 4 3 IPAL\n90 57 5 2 ###\n95 58 5 2 ###\n90 62 6 2 ###\n97 63 3 2 ###"
"1 1 12 7 Specials\n34 7 9 5 crunchy\n2 10 4 2 Garlic\n5 11 3 2 bread\n1 13 3 2 course\n8 13 2 2 ###\n4 14 3 2 below\n7 14 2 2 ###\n10 14 2 2 ###\n9 15 1 2 ###\n10 15 2 2 ###\n45 71 2 3 ###\n39 74 4 7 baked\n42 76 3 4 ###\n41 79 1 3 ###\n33 84 6 8 Freshly"
"7 1 5 4 ENJOY\n11 5 3 4 ###\n14 8 7 5 REBATE\n21 14 3 4 ###\n24 16 7 5 MORE\n31 22 11 5 STORES\n42 31 9 6 THAN\n53 40 8 6 ANY\n1 41 7 10 ILLS\n61 47 16 7 OTHER\n78 61 16 8 CARD\n16 64 2 4 ###\n18 68 7 3 RETAIL\n16 71 15 4 ###\n25 79 10 4 BRANDS"
"3 12 1 2 ###\n66 17 3 3 GET\n65 20 3 3 FIT\n64 27 4 2 REWARDS"
"50 3 3 4 Way\n54 3 2 3 out\n43 13 2 2 Line\n41 15 2 3 ###\n59 21 1 2 ###\n57 22 1 2 ###\n58 22 0 2 ###\n53 24 4 2 Platform"
"61 33 3 4 ###\n89 33 3 2 sale\n55 35 3 2 ###\n87 37 2 3 ###\n89 37 2 2 ###\n87 40 5 5 70%\n14 74 3 3 ###\n2 80 6 4 SECRET\n0 83 3 5 A'S"
"44 4 4 3 ###\n25 5 4 2 ###\n38 5 2 2 ###\n93 28 7 9 ###\n77 29 15 9 MARKET\n84 35 8 3 VITALITY\n92 37 6 3 COURT\n73 45 7 4 PODI\n4 78 5 3 ###"
"56 13 6 5 unity\n50 14 2 2 ###\n34 31 6 5 Sanook\n34 38 7 7 $9.90"
"15 15 10 6 vom\n14 23 17 11 FASS\n84 43 3 2 ###\n81 47 1 2 ###\n75 56 3 2 EXIT"
"49 24 2 2 ###\n46 25 3 3 ###\n5 27 3 3 ###\n31 31 4 3 GUCCI\n25 40 5 5 GUCCI\n17 46 2 3 ###\n18 50 2 2 ###"
"60 7 4 4 EXIT\n65 20 18 10 BreadTalk\n3 24 22 8 ###\n53 32 6 4 TOASTBOX\n44 40 3 2 ###"
"29 13 4 3 MANGO\n85 14 12 5 ###\n23 16 13 12 TOUCH\n26 31 10 2 ###\n96 52 3 7 ###\n85 53 6 7 ###\n83 54 2 3 ###\n94 54 2 3 ###\n86 72 13 6 ###"
"86 15 7 2 SANDS\n82 16 3 3 BAY\n73 18 2 2 A-T\n75 18 6 2 MARINA\n67 19 6 2 SHOPPES\n65 20 2 2 THE"
"32 21 2 3 ###\n76 77 1 3 ###\n78 78 3 4 ###\n81 80 5 4 CHA"
"53 19 5 3 ###\n31 24 11 9 S.K.\n37 28 14 4 HOUSE\n27 36 10 3 LEATHER"
"0 10 3 4 ###\n3 11 6 4 6825\n31 14 7 6 SING\n39 16 7 6 KONG\n46 19 14 6 EMPLOYMENT\n40 23 6 3 Licence\n61 24 8 5 AGENCY\n46 25 2 3 No:\n1 26 23 11 MAIDS\n48 26 5 2 03C5262\n69 26 9 6 ###\n1 40 2 2 ###\n4 40 7 2 ###\n11 41 1 3 ###\n1 42 6 2 ###\n7 43 8 3 INDONESIAN\n51 43 3 1 ###\n52 44 2 1 ###\n1 45 5 3 ###\n15 45 3 2 ###\n18 45 2 2 ###\n5 46 1 2 ###\n7 46 4 2 ###\n51 46 2 1 ###\n11 47 4 2 ###\n14 47 9 2 DEVELOPMENT\n0 52 3 2 ###\n3 52 6 2 ###\n0 54 4 2 ###\n4 54 4 2 ###\n0 56 2 2 ###\n3 57 9 2 DOCUMENTATION\n0 59 1 2 ###\n1 59 5 2 ###\n3 61 4 2 ###\n0 62 2 2 ###\n0 64 4 2 ###\n5 64 1 2 ###\n6 64 8 2 ###\n14 65 2 2 ###\n15 65 3 2 ###\n18 65 4 2 ###"
"19 9 3 5 ALDO\n43 42 3 4 SALE\n42 50 5 8 70%"
"12 0 27 8 ARTBOX\n62 16 3 4 ###\n19 21 5 3 ART\n20 24 4 3 ###\n60 26 2 3 ###\n90 32 3 13 ###\n57 40 2 3 ###\n6 42 10 2 ###\n81 48 5 2 ###\n80 49 7 5 ###\n80 54 7 2 ###\n80 56 7 3 ###\n81 59 7 18 ###"
"21 14 6 3 ###\n21 26 6 2 ###\n16 28 6 3 SAMSUNG\n0 29 12 4 SAMSUNG\n73 47 3 2 1398\n82 47 3 2 2298\n85 47 3 2 2198\n67 48 3 2 1098\n63 49 1 2 ###\n54 54 2 2 ###\n53 63 2 3 769\n56 63 3 2 1249\n84 64 3 1 ###\n76 65 3 1 ###\n59 66 3 1 ###\n58 74 5 4 acer\n69 82 2 2 ###\n18 84 3 3 ###\n54 84 2 5 199\n69 84 2 2 ###\n66 85 3 4 299\n81 87 2 3 ###\n73 97 1 3 ###\n74 97 6 3 1198"
"79 15 9 4 ###\n48 23 5 3 Champion\n91 23 1 2 ###\n37 26 3 2 ###\n50 26 1 3 ###\n52 26 3 3 ###\n20 27 5 2 ###\n25 27 5 2 Approach\n30 27 1 2 ###\n31 27 4 2 ###\n35 27 2 2 ###\n46 27 4 3 Readers\n17 28 1 2 ###\n18 28 3 2 ###\n48 30 2 3 for\n51 30 2 3 Life\n53 78 9 4 ###"
"47 24 3 3 EXIT\n57 43 5 7 I2R"
"13 25 21 19 ###\n79 27 5 5 FISH\n85 27 12 5 DELIGHT'S\n31 38 9 4 CHINATOWN\n21 39 4 3 ###\n25 39 6 4 ###\n57 44 2 13 ###\n22 48 1 13 ###"
"27 15 10 9 Yellow\n42 17 5 12 ###\n84 30 3 2 ###\n13 31 6 3 ###\n58 38 3 3 ###\n41 39 2 2 ###"
"59 5 3 3 TYR\n66 5 8 3 azura\n79 7 8 4 SPALDING\n70 9 3 1 ###\n80 11 4 1 ###\n71 15 1 2 ###\n86 17 1 3 ###\n33 21 2 1 ###\n45 27 5 8 ###\n86 32 11 3 ###\n48 34 8 4 ANDI\n63 38 7 4 ANDI\n89 46 4 2 ###\n95 48 3 2 ###"
"86 5 10 5 etnies\n96 11 3 3 ###\n70 14 10 5 HI-TEC\n56 22 8 4 ###\n78 22 1 3 ###\n0 27 12 4 aman\n14 27 3 5 ###\n62 28 2 3 ###\n48 29 4 3 ###\n26 48 7 2 SALE\n26 50 7 3 ###\n27 54 4 8 ###\n63 55 3 2 ###\n69 55 6 3 ###\n85 55 3 6 ###\n31 56 1 3 ###\n79 56 5 4 dupd\n88 57 1 3 ###\n1 58 8 3 ###\n50 58 2 4 ###\n53 59 3 2 ###\n50 73 1 2 ###\n49 76 3 1 ###\n56 85 2 5 ###\n41 86 6 5 ###\n41 92 4 9 ###\n54 92 6 3 salomon\n45 93 1 5 ###"
"55 0 3 2 ###\n59 0 7 3 PIER\n79 1 3 4 ###\n55 2 5 5 CTE\n80 5 1 4 ###\n55 7 11 4 Airport\n78 10 3 4 ###\n70 12 10 3 ###"
"61 1 18 5 ###\n9 3 2 2 ###\n11 3 2 2 ###\n20 4 4 4 ###\n17 10 7 6 fusionopolis\n26 10 5 5 ###\n5 11 10 6 fusionopolis\n31 11 4 5 ###\n11 17 4 2 ###\n7 24 2 3 ###\n17 24 5 5 ###\n8 27 2 2 ###\n11 33 3 2 ###"
"6 1 21 10 Standard\n28 8 14 8 Chartered\n70 9 3 5 ###\n54 17 3 3 ###\n54 18 6 7 ###\n86 18 14 6 Foodfare\n50 26 4 4 ###\n7 32 4 2 ###\n19 46 6 2 ###\n21 47 1 1 ###\n23 47 1 1 ###\n19 48 1 1 ###\n21 58 4 1 ###\n21 60 2 1 ###\n23 60 2 1 ###\n22 62 4 2 ###"
"45 14 3 3 1098\n50 15 3 3 1398\n62 15 4 3 2298\n67 15 4 3 2198\n86 21 3 2 1998\n17 27 2 3 949\n86 27 6 4 1Gbps\n32 30 2 3 1249\n7 31 3 2 7698\n32 34 2 2 ###\n37 36 3 2 ###\n44 40 4 2 ASUS\n54 42 4 3 ASUS\n60 44 1 3 ###\n68 48 6 3 ###\n75 52 2 3 ###"
"14 22 14 13 ###\n29 26 5 4 BANK\n34 27 2 3 ###\n37 27 4 4 CHINA\n31 40 4 3 SOON\n23 42 9 4 COMING"
"79 66 9 6 Lobby\n90 68 2 6 ###\n96 72 4 4 ###\n95 78 5 5 ###\n95 84 5 6 ###\n95 93 4 7 ###"
"61 44 15 22 coast\n63 58 10 5 LONDON"
"0 7 6 10 ###\n94 17 6 11 ###\n79 28 14 9 MATAHARI\n79 35 9 3 UcNo:12C6009\n70 38 4 5 ###\n67 39 2 4 ###\n89 45 10 4 Attention!\n54 46 4 5 ###\n89 51 11 6 FILIPIN\n89 57 11 6 DOMES\n89 64 11 6 HELPE\n89 71 2 3 ###\n91 71 6 3 SALARY\n98 72 2 3 ###\n89 74 2 3 ###\n91 74 5 3 WORK\n96 76 2 4 ###\n89 91 4 4 ###\n93 93 6 3 ###"
"0 1 5 4 ###\n9 2 5 2 ###\n13 3 3 2 ###\n91 3 2 4 EXIT\n0 5 5 2 ###\n9 6 4 2 ###\n1 10 6 2 ###\n3 12 4 2 ###\n1 15 6 2 ###\n85 16 3 5 S.K\n40 25 8 6 Amor\n34 27 5 7 ###\n50 27 3 3 02-46\n44 30 3 2 ###\n32 34 3 2 ###\n29 35 2 2 ###\n5 37 11 5 EXPRESS\n54 38 1 2 $10\n0 39 4 4 NOY\n1 43 14 2 ###\n1 43 14 2 ###\n6 44 5 2 ###\n45 44 0 2 ###\n45 45 1 1 ###\n6 49 2 3 ###"
"43 0 5 6 ###\n35 6 7 8 ###\n41 11 4 5 ZHAI\n36 15 5 4 JIXIANG"
"15 0 4 2 BRITY\n11 2 3 2 GUY\n14 2 3 2 ###\n19 2 9 2 RESTAURANTS\n11 7 5 2 FOOD\n16 8 5 2 COURT\n13 9 3 2 ###\n17 10 5 2 HALANA\n42 15 1 1 ###\n32 16 9 2 RESTAURANTS\n10 21 6 2 CASINO\n57 24 3 6 CHANEL\n38 69 4 2 ###"
"46 41 9 6 TOUCH\n70 44 6 3 Evottica\n32 47 5 2 ###\n68 62 1 2 ###\n69 62 3 3 ###\n75 62 4 3 149\n74 63 1 2 ###\n32 66 5 3 ###\n70 72 7 3 nanoflex\n75 92 2 3 ###"
"67 15 7 6 Talk\n42 19 6 5 Talk\n55 28 4 1 ###\n36 31 5 2 ON SALE\n30 32 5 3 ON:SAL"
"98 0 2 2 ###\n87 5 4 5 ###\n69 10 12 4 ###\n6 15 5 5 ###\n70 35 3 3 ONE\n72 35 3 3 MAN\n70 37 2 2 ONE\n72 38 6 3 MACHINE\n69 40 1 2 ###\n70 40 1 2 ###\n71 40 1 2 ###\n73 40 1 2 ###\n69 44 7 3 ###"
"42 71 7 4 Health\n52 71 7 4 Beauty\n49 72 2 4 ###\n45 76 10 4 Naturally\n41 82 4 3 ###\n46 83 3 2 ###\n49 83 3 2 ###\n43 86 15 5 ###\n41 92 5 3 ###\n45 92 2 3 ###\n42 96 17 2 ###"
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