Token
fcb14ee7c62e5e41404a385db4b644ea1cd42b59c752e071a593188e1f0359ab
ID
fcb14ee7c62e5e41404a385db4b644ea1cd42b59c752e071a593188e1f0359ab
Name
Egnome #452 Sofia, Absorber of Human Knowledge
Emission amount
1
Decimals
0
Description
Online dating allowed her to absorb a signficant amount of human knowledge. Her dates often feel brainwashed whenever they part ways.
Type
EIP-004
Issuer Box
{ "boxId": "fcb14ee7c62e5e41404a385db4b644ea1cd42b59c752e071a593188e1f0359ab", "transactionId": "171e0ac7e354ca35b6e0e3a305c775761edcbcd1682646611b7b12fbb896484e", "blockId": "3bf7da99a1311eb228c25644065920e59259995e95359e60003af61de38afe7b", "value": 3004000000, "index": 0, "globalIndex": 8553335, "creationHeight": 600674, "settlementHeight": 600678, "ergoTree": "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", "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 2\n5: 1\n6: 3002000000\n7: Coll(16,12,4,0,14,36,0,8,-51,3,-35,27,44,-121,-91,-90,-82,127,-18,-47,-43,72,20,53,3,92,86,5,77,88,-105,-68,81,56,-88,-89,94,121,62,-35,-32,-103,4,0,4,0,4,0,4,-82,-68,73,5,0,5,-128,-56,-81,-96,37,4,0,5,-128,-8,-126,-83,22,5,0,5,-128,-92,-24,3,-40,2,-42,1,-78,-91,115,0,0,-42,2,115,1,-47,-20,-19,-19,-19,-19,-19,-111,-79,-37,99,8)\n8: Coll(1,1)\n9: Coll(68,101,42,79,27,-43,-80,-37,61,-96,-93,2,115,-84,89,-106,-90,68,-53,56,-68,95,31,127,112,-23,69,23,-3,15,2,-86)\n10: 0\n11: 4000000\n12: Coll(0,8,-51,3,-35,27,44,-121,-91,-90,-82,127,-18,-47,-43,72,20,53,3,92,86,5,77,88,-105,-68,81,56,-88,-89,94,121,62,-35,-32,-103)\n13: 1634575505282", "ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val l2 = box1.value\n val coll3 = INPUTS(placeholder[Int](1)).id\n val tuple4 = box1.tokens.getOrElse(placeholder[Int](2), (coll3, placeholder[Long](3)))\n sigmaProp(\n (\n (OUTPUTS.size == placeholder[Int](4)) && (\n (\n (\n (\n (((coll3 == tuple4._1) && (tuple4._2 == placeholder[Long](5))) && (l2 == placeholder[Long](6))) && (\n box1.propositionBytes == placeholder[Coll[Byte]](7)\n )\n ) && (box1.R7[Coll[Byte]].get == placeholder[Coll[Byte]](8))\n ) && (box1.R8[Coll[Byte]].get == placeholder[Coll[Byte]](9))\n ) || (\n (l2 >= INPUTS.fold(placeholder[Long](10), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - placeholder[Long](11)) && (\n box1.propositionBytes == placeholder[Coll[Byte]](12)\n )\n )\n )\n ) && (HEIGHT.toLong < placeholder[Long](13))\n )\n}", "address": "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", "assets": [], "additionalRegisters": {}, "spentTransactionId": "9ce36936f6fb17e02abb2cb8a2c290b77b21d87de2b760991eb5b9574a601f8d", "mainChain": true }