Transaction
ID: eb4325c3d1...4180
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
50
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 469,701
Total coins transferred: 0.003 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000561 ERG
Raw Transaction Data
{
"id": "eb4325c3d13bda229101b7487c249c5c4f7e3a13c5e1e43a9c063fb203f14180",
"blockId": "ade17d9bf9fd6d0a852fc29f83a159c9d32ef2fd71590a6958aa044a8d3538ed",
"inclusionHeight": 1299893,
"timestamp": 1720004616522,
"index": 5,
"globalIndex": 7430744,
"numConfirmations": 469701,
"inputs": [
{
"boxId": "642d055d8099f16ea596538cecad543527e93f9302b0cf33c3ea4669a4dc7083",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "ffdb447a02feb9856ed63d05f9ffe32d0df776369916236784248ce790ca91e8",
"outputTransactionId": "898c3808b524c2d53021aaf371f0d3f1640ee0331b2e3d5c564ffa9597f24a67",
"outputIndex": 0,
"outputGlobalIndex": 41207968,
"outputCreatedAt": 1299832,
"outputSettledAt": 1299835,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n1: 0\n2: Coll(35,69,61,28,-92,106,47,25,63,-70,75,13,125,123,-33,-77,51,-92,-78,-27,62,-61,115,-28,27,87,2,-114,104,116,47,25)\n3: 0\n4: Coll(62,-125,-38,-77,116,-119,-116,-8,118,109,87,-37,38,-57,37,87,-30,-111,-93,-45,-81,-38,-54,-73,94,89,107,0,-64,-22,-30,37)\n5: 0\n6: 30\n7: 30\n8: 10\n9: 0\n10: 0\n11: 100000000\n12: 0\n13: 0\n14: 1\n15: 0\n16: 0\n17: 1\n18: 1\n19: 0\n20: 0\n21: 0\n22: 1\n23: 1\n24: 0\n25: 1\n26: 0\n27: 1\n28: 1\n29: 0\n30: 1\n31: 1\n32: 0\n33: 1\n34: 0\n35: 300000000000\n36: 1000\n37: 500\n38: false\n39: 1\n40: 360\n41: 2\n42: 1\n43: 0\n44: 0\n45: 360\n46: 0\n47: 0\n48: 0\n49: 0\n50: 0\n51: 600000000\n52: 0\n53: 1000\n54: 500\n55: 1\n56: 0\n57: 1\n58: 1\n59: 1\n60: false\n61: 0",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[Long].get\n val coll3 = placeholder[Coll[Byte]](0)\n val box4 = OUTPUTS(placeholder[Int](1))\n val coll5 = box4.propositionBytes\n val coll6 = SELF.propositionBytes\n val l7 = box4.value\n val l8 = SELF.value\n val coll9 = box4.tokens\n val coll10 = SELF.tokens\n val l11 = box4.R4[Long].get\n val coll12 = box4.R5[Coll[Long]].get\n val coll13 = box4.R6[Coll[Byte]].get\n val l14 = box4.R7[Long].get\n val l15 = box4.R8[Long].get\n val l16 = box4.R9[Long].get\n val coll17 = SELF.R5[Coll[Long]].get\n val coll18 = SELF.R6[Coll[Byte]].get\n val l19 = SELF.R7[Long].get\n val l20 = SELF.R9[Long].get\n val coll21 = placeholder[Coll[Byte]](2)\n val tuple22 = coll10(placeholder[Int](3))\n val coll23 = placeholder[Coll[Byte]](4)\n val tuple24 = coll9(placeholder[Int](5))\n val coll25 = tuple22._1\n val l26 = tuple24._2\n val coll27 = tuple24._1\n val l28 = tuple22._2\n val l29 = l2 + placeholder[Long](6)\n val l30 = l29 + placeholder[Long](7)\n sigmaProp(if (l1 < l2 - placeholder[Long](8)) {(\n val box31 = CONTEXT.dataInputs(placeholder[Int](9))\n val tuple32 = box31.tokens(placeholder[Int](10))\n val l33 = tuple32._2\n (((((((((((tuple32._1 == coll3) && (l33 > SELF.R8[Long].get)) && (l33 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((coll12(placeholder[Int](12)) == placeholder[Long](13)) && (coll12.slice(placeholder[Int](14), coll12.size) == box31.R4[Coll[Long]].get))) && (coll13 == box31.R5[Coll[Byte]].get)) && (l14 == placeholder[Long](15))) && (l15 == l33)) && (l16 == placeholder[Long](16))\n )} else { if ((l1 > l2) && (l1 < l29)) {(\n val coll31 = INPUTS.slice(placeholder[Int](17), INPUTS.size)\n val i32 = coll17.size\n val coll33 = coll17.slice(placeholder[Int](18), i32)\n ((((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((coll12(placeholder[Int](19)) == coll17(placeholder[Int](20)) + coll31.fold(placeholder[Long](21), {(tuple34: (Long, Box)) =>\n val box36 = tuple34._2\n val l37 = tuple34._1\n if ((box36.R4[Coll[Long]].get == coll33) && (box36.R5[Coll[Byte]].get == coll18)) { l37 + box36.tokens(placeholder[Int](22))._2 } else { l37 }\n })) && (coll12.slice(placeholder[Int](23), i32) == coll33))) && (i32 == coll12.size)) && (coll13 == coll18)) && (l14 == coll31.fold(placeholder[Long](24), {(tuple34: (Long, Box)) => tuple34._1 + tuple34._2.tokens(placeholder[Int](25))._2 }) + l19)) && (l16 == l20 + coll31.fold(placeholder[Long](26), {(tuple34: (Long, Box)) =>\n val box36 = tuple34._2\n val l37 = tuple34._1\n if (box36.R9[Int].get == placeholder[Int](27)) { l37 + box36.tokens(placeholder[Int](28))._2 } else { l37 }\n }))) && coll31.forall({(box34: Box) =>\n val coll36 = box34.tokens\n ((coll36(placeholder[Int](29))._1 == coll21) && (coll36(placeholder[Int](30))._1 == coll3)) && (box34.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box34: Box) => box34.tokens.forall({(tuple36: (Coll[Byte], Long)) => tuple36._1 != coll21 }) })\n )} else { if ((l1 > l29) && (l1 < l30)) {(\n val box31 = INPUTS(placeholder[Int](31))\n val tuple32 = box31.tokens(placeholder[Int](32))\n val coll33 = coll25\n val l34 = l28\n val box35 = OUTPUTS(placeholder[Int](33))\n val tuple36 = box35.tokens(placeholder[Int](34))\n val coll37 = coll27\n val l38 = l26\n ((((((((((((((if (l19 > placeholder[Long](35)) { l20 * placeholder[Long](36) / l19 > placeholder[Long](37) } else { placeholder[Boolean](38) } && ((((tuple32._1 == coll33) && (tuple32._2 == placeholder[Long](39))) && (l34 == box31.R6[Long].get)) && (box31.R7[Long].get == l2 - placeholder[Long](40)))) && (blake2b256(box35.propositionBytes) == coll23)) && ((tuple36._1 == coll33) && (tuple36._2 == placeholder[Long](41)))) && (box31.R4[Coll[Long]].get == box35.R4[Coll[Long]].get)) && (box31.R5[Coll[Byte]].get == box35.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll37 == coll33) && (l38 == l34 - placeholder[Long](42)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (coll12 == coll17)) && (coll13 == coll18)) && (l14 == l19)) && (l16 == placeholder[Long](43))) && (l15 == placeholder[Long](44))\n )} else { if (l1 > l30) {(\n val bool31 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](45))) && (coll12(placeholder[Int](46)) == placeholder[Long](47))) && (l14 == placeholder[Long](48))) && (l16 == placeholder[Long](49))) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](50))\n if ((l19 > placeholder[Long](51)) && (coll17(placeholder[Int](52)) * placeholder[Long](53) / l19 > placeholder[Long](54))) {(\n val box32 = OUTPUTS(placeholder[Int](55))\n val tuple33 = box32.tokens(placeholder[Int](56))\n ((((((bool31 && (blake2b256(box32.propositionBytes) == coll23)) && ((tuple33._1 == coll25) && (tuple33._2 == placeholder[Long](57)))) && (box32.R4[Coll[Long]].get == coll17.slice(placeholder[Int](58), coll17.size))) && (box32.R6[Long].get == l26)) && (box32.R5[Coll[Byte]].get == coll18)) && (box32.R7[Long].get == l2)) && ((coll27 == coll25) && (l26 == l28 - placeholder[Long](59)))\n )} else { bool31 && (coll9 == coll10) }\n )} else { placeholder[Boolean](60) && (HEIGHT > placeholder[Int](61)) } } } })\n}",
"address": "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",
"assets": [
{
"tokenId": "25437a86c8c1a0c493859b821ffcb08746869ce68493fb3b1a5d0a2a080612bf",
"index": 0,
"amount": 8999999100000000,
"name": "Counter Box Token - Params",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11050002d804a006880e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1,300,400,900]"
},
"R6": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R8": {
"serializedValue": "0580b8b872",
"sigmaType": "SLong",
"renderedValue": "120000000"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "05d8d69e01",
"sigmaType": "SLong",
"renderedValue": "1299884"
}
}
},
{
"boxId": "b5824ef13d8b7cb41b917a34d356d07909844606a4f7024d0e8b911abc46a59a",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "bb9e91d06dd6e9b95647f8740ee747d88173416db94bf79c01007007a2d8e713",
"outputTransactionId": "91167678ee6e741dd0373cbc1b34f2c7f1ce5ee12a8b2a8b86e19797092e48a8",
"outputIndex": 1,
"outputGlobalIndex": 41208078,
"outputCreatedAt": 1299838,
"outputSettledAt": 1299840,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(37,67,122,-122,-56,-63,-96,-60,-109,-123,-101,-126,31,-4,-80,-121,70,-122,-100,-26,-124,-109,-5,59,26,93,10,42,8,6,18,-65)\n2: 0\n3: false\n4: 20\n5: 0\n6: 0\n7: 100000000\n8: false\n9: 0\n10: 0\n11: true\n12: 0\n13: 0\n14: 100000000\n15: 1\n16: 0\n17: 1\n18: SigmaProp(ProveDlog(ECPoint(f0dbaa,8779c5,...)))\n19: 64800",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val l3 = SELF.R8[Long].get\n val coll4 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box5 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box5.R4[Long].isDefined) { HEIGHT.toLong < box5.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > l3 + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box5.tokens.size > placeholder[Int](5))) {(\n val tuple6 = box5.tokens(placeholder[Int](6))\n (tuple6._1 == coll4) && (tuple6._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box6: Box) =>\n val coll8 = box6.tokens\n if (coll8.size > placeholder[Int](9)) { coll8.forall({(tuple9: (Coll[Byte], Long)) => tuple9._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple5 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple5._1 == coll4) && (tuple5._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box6: Box) =>\n ((box6.propositionBytes == SELF.R7[Coll[Byte]].get) && (box6.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box6.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n ) || placeholder[SigmaProp](18) && sigmaProp(HEIGHT.toLong > l3 + placeholder[Long](19))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "23453d1ca46a2f193fba4b0d7d7bdfb333a4b2e53ec373e41b57028e68742f19",
"index": 0,
"amount": 1,
"name": "Vote Verification Token - Params",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 1,
"amount": 50000000,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "07036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"sigmaType": "SGroupElement",
"renderedValue": "036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
},
"R8": {
"serializedValue": "0586d69e01",
"sigmaType": "SLong",
"renderedValue": "1299843"
},
"R7": {
"serializedValue": "0e240008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
},
"R9": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
},
"R4": {
"serializedValue": "110402d804a006880e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,300,400,900]"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "e743260bfd7d015b35dc3b961e44d26ca92779cd87e709ad7c96f69b3c648644",
"transactionId": "eb4325c3d13bda229101b7487c249c5c4f7e3a13c5e1e43a9c063fb203f14180",
"blockId": "ade17d9bf9fd6d0a852fc29f83a159c9d32ef2fd71590a6958aa044a8d3538ed",
"value": 1000000,
"index": 0,
"globalIndex": 41209072,
"creationHeight": 1299891,
"settlementHeight": 1299893,
"ergoTree": "103e0e20089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f04000e2023453d1ca46a2f193fba4b0d7d7bdfb333a4b2e53ec373e41b57028e68742f1904000e203e83dab374898cf8766d57db26c72557e291a3d3afdacab75e596b00c0eae2250400053c053c051404000400058084af5f040005000402050005000402040204000400050004020402050004020500040204020400040204020400040204000580e0a596bb1105d00f05e8070100050205d005050405020500050005d005040005000500050005000580989abc04040005d00f05e8070402040005020402050201000400d81ed6017ea305d602e4c6a70405d6037300d604b2a5730100d605c27204d606c2a7d607c17204d608c1a7d609db63087204d60adb6308a7d60be4c672040405d60ce4c672040511d60de4c67204060ed60ee4c672040705d60fe4c672040805d610e4c672040905d611e4c6a70511d612e4c6a7060ed613e4c6a70705d614e4c6a70905d6157302d616b2720a730300d6177304d618b27209730500d6198c721601d61a8c721802d61b8c721801d61c8c721602d61d9a72027306d61e9a721d7307d1958f72019972027308d803d61fb2db6501fe730900d620b2db6308721f730a00d6218c722002ededededededededededed938c7220017203917221e4c6a70805917221730b93720572069272077208937209720a937202720bed93b2720c730c00730d93b4720c730eb1720ce4c6721f041193720de4c6721f050e93720e730f93720f7221937210731095ed91720172028f7201721dd803d61fb4a47311b1a4d620b17211d621b4721173127220edededededededededed93720572069272077208937209720a937202720bed93b2720c7313009ab27211731400b0721f7315d901224163d802d6248c722202d6258c72220195ed93e4c672240411722193e4c67224050e72129a72258cb2db6308722473160002722593b4720c731772207221937220b1720c93720d721293720e9ab0721f7318d9012241639a8c7222018cb2db63088c7222027319000272139372109a7214b0721f731ad901224163d802d6248c722202d6258c7222019593e4c672240904731b9a72258cb2db63087224731c00027225af721fd9012263d801d624db63087222eded938cb27224731d00017215938cb27224731e000172038fe4c6722208057202afa5d9012263afdb63087222d901244d0e948c722401721595ed917201721d8f7201721ed808d61fb2a4731f00d620b2db6308721f732000d6217219d622721cd623b2a5732100d624b2db63087223732200d625721bd626721aededededededededededededededed959172137323919d9c72147324721373257326ededed938c7220017221938c7220027327937222e4c6721f060593e4c6721f0705997202732893cbc272237217ed938c7224017221938c722402732993e4c6721f0411e4c67223041193e4c6721f050ee4c67223050e93720572069272077208ed9372257221937226997222732a93b17209b1720a937202720b93720c721193720d721293720e7213937210732b93720f732c95917201721ed801d61fededededededed9372057206927207720893720b9a7202732d93b2720c732e00732f93720e7330937210733193b17209b1720a93720f733295ed9172137333919d9cb27211733400733572137336d802d620b2a5733700d621b2db63087220733800ededededededed721f93cbc272207217ed938c7221017219938c722102733993e4c672200411b47211733ab1721193e4c672200605721a93e4c67220050e721293e4c6722007057202ed93721b721993721a99721c733bed721f937209720aed733c91a3733d",
"ergoTreeConstants": "0: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n1: 0\n2: Coll(35,69,61,28,-92,106,47,25,63,-70,75,13,125,123,-33,-77,51,-92,-78,-27,62,-61,115,-28,27,87,2,-114,104,116,47,25)\n3: 0\n4: Coll(62,-125,-38,-77,116,-119,-116,-8,118,109,87,-37,38,-57,37,87,-30,-111,-93,-45,-81,-38,-54,-73,94,89,107,0,-64,-22,-30,37)\n5: 0\n6: 30\n7: 30\n8: 10\n9: 0\n10: 0\n11: 100000000\n12: 0\n13: 0\n14: 1\n15: 0\n16: 0\n17: 1\n18: 1\n19: 0\n20: 0\n21: 0\n22: 1\n23: 1\n24: 0\n25: 1\n26: 0\n27: 1\n28: 1\n29: 0\n30: 1\n31: 1\n32: 0\n33: 1\n34: 0\n35: 300000000000\n36: 1000\n37: 500\n38: false\n39: 1\n40: 360\n41: 2\n42: 1\n43: 0\n44: 0\n45: 360\n46: 0\n47: 0\n48: 0\n49: 0\n50: 0\n51: 600000000\n52: 0\n53: 1000\n54: 500\n55: 1\n56: 0\n57: 1\n58: 1\n59: 1\n60: false\n61: 0",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val l2 = SELF.R4[Long].get\n val coll3 = placeholder[Coll[Byte]](0)\n val box4 = OUTPUTS(placeholder[Int](1))\n val coll5 = box4.propositionBytes\n val coll6 = SELF.propositionBytes\n val l7 = box4.value\n val l8 = SELF.value\n val coll9 = box4.tokens\n val coll10 = SELF.tokens\n val l11 = box4.R4[Long].get\n val coll12 = box4.R5[Coll[Long]].get\n val coll13 = box4.R6[Coll[Byte]].get\n val l14 = box4.R7[Long].get\n val l15 = box4.R8[Long].get\n val l16 = box4.R9[Long].get\n val coll17 = SELF.R5[Coll[Long]].get\n val coll18 = SELF.R6[Coll[Byte]].get\n val l19 = SELF.R7[Long].get\n val l20 = SELF.R9[Long].get\n val coll21 = placeholder[Coll[Byte]](2)\n val tuple22 = coll10(placeholder[Int](3))\n val coll23 = placeholder[Coll[Byte]](4)\n val tuple24 = coll9(placeholder[Int](5))\n val coll25 = tuple22._1\n val l26 = tuple24._2\n val coll27 = tuple24._1\n val l28 = tuple22._2\n val l29 = l2 + placeholder[Long](6)\n val l30 = l29 + placeholder[Long](7)\n sigmaProp(if (l1 < l2 - placeholder[Long](8)) {(\n val box31 = CONTEXT.dataInputs(placeholder[Int](9))\n val tuple32 = box31.tokens(placeholder[Int](10))\n val l33 = tuple32._2\n (((((((((((tuple32._1 == coll3) && (l33 > SELF.R8[Long].get)) && (l33 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((coll12(placeholder[Int](12)) == placeholder[Long](13)) && (coll12.slice(placeholder[Int](14), coll12.size) == box31.R4[Coll[Long]].get))) && (coll13 == box31.R5[Coll[Byte]].get)) && (l14 == placeholder[Long](15))) && (l15 == l33)) && (l16 == placeholder[Long](16))\n )} else { if ((l1 > l2) && (l1 < l29)) {(\n val coll31 = INPUTS.slice(placeholder[Int](17), INPUTS.size)\n val i32 = coll17.size\n val coll33 = coll17.slice(placeholder[Int](18), i32)\n ((((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((coll12(placeholder[Int](19)) == coll17(placeholder[Int](20)) + coll31.fold(placeholder[Long](21), {(tuple34: (Long, Box)) =>\n val box36 = tuple34._2\n val l37 = tuple34._1\n if ((box36.R4[Coll[Long]].get == coll33) && (box36.R5[Coll[Byte]].get == coll18)) { l37 + box36.tokens(placeholder[Int](22))._2 } else { l37 }\n })) && (coll12.slice(placeholder[Int](23), i32) == coll33))) && (i32 == coll12.size)) && (coll13 == coll18)) && (l14 == coll31.fold(placeholder[Long](24), {(tuple34: (Long, Box)) => tuple34._1 + tuple34._2.tokens(placeholder[Int](25))._2 }) + l19)) && (l16 == l20 + coll31.fold(placeholder[Long](26), {(tuple34: (Long, Box)) =>\n val box36 = tuple34._2\n val l37 = tuple34._1\n if (box36.R9[Int].get == placeholder[Int](27)) { l37 + box36.tokens(placeholder[Int](28))._2 } else { l37 }\n }))) && coll31.forall({(box34: Box) =>\n val coll36 = box34.tokens\n ((coll36(placeholder[Int](29))._1 == coll21) && (coll36(placeholder[Int](30))._1 == coll3)) && (box34.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box34: Box) => box34.tokens.forall({(tuple36: (Coll[Byte], Long)) => tuple36._1 != coll21 }) })\n )} else { if ((l1 > l29) && (l1 < l30)) {(\n val box31 = INPUTS(placeholder[Int](31))\n val tuple32 = box31.tokens(placeholder[Int](32))\n val coll33 = coll25\n val l34 = l28\n val box35 = OUTPUTS(placeholder[Int](33))\n val tuple36 = box35.tokens(placeholder[Int](34))\n val coll37 = coll27\n val l38 = l26\n ((((((((((((((if (l19 > placeholder[Long](35)) { l20 * placeholder[Long](36) / l19 > placeholder[Long](37) } else { placeholder[Boolean](38) } && ((((tuple32._1 == coll33) && (tuple32._2 == placeholder[Long](39))) && (l34 == box31.R6[Long].get)) && (box31.R7[Long].get == l2 - placeholder[Long](40)))) && (blake2b256(box35.propositionBytes) == coll23)) && ((tuple36._1 == coll33) && (tuple36._2 == placeholder[Long](41)))) && (box31.R4[Coll[Long]].get == box35.R4[Coll[Long]].get)) && (box31.R5[Coll[Byte]].get == box35.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll37 == coll33) && (l38 == l34 - placeholder[Long](42)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (coll12 == coll17)) && (coll13 == coll18)) && (l14 == l19)) && (l16 == placeholder[Long](43))) && (l15 == placeholder[Long](44))\n )} else { if (l1 > l30) {(\n val bool31 = (((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](45))) && (coll12(placeholder[Int](46)) == placeholder[Long](47))) && (l14 == placeholder[Long](48))) && (l16 == placeholder[Long](49))) && (coll9.size == coll10.size)) && (l15 == placeholder[Long](50))\n if ((l19 > placeholder[Long](51)) && (coll17(placeholder[Int](52)) * placeholder[Long](53) / l19 > placeholder[Long](54))) {(\n val box32 = OUTPUTS(placeholder[Int](55))\n val tuple33 = box32.tokens(placeholder[Int](56))\n ((((((bool31 && (blake2b256(box32.propositionBytes) == coll23)) && ((tuple33._1 == coll25) && (tuple33._2 == placeholder[Long](57)))) && (box32.R4[Coll[Long]].get == coll17.slice(placeholder[Int](58), coll17.size))) && (box32.R6[Long].get == l26)) && (box32.R5[Coll[Byte]].get == coll18)) && (box32.R7[Long].get == l2)) && ((coll27 == coll25) && (l26 == l28 - placeholder[Long](59)))\n )} else { bool31 && (coll9 == coll10) }\n )} else { placeholder[Boolean](60) && (HEIGHT > placeholder[Int](61)) } } } })\n}",
"address": "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",
"assets": [
{
"tokenId": "25437a86c8c1a0c493859b821ffcb08746869ce68493fb3b1a5d0a2a080612bf",
"index": 0,
"amount": 8999999100000000,
"name": "Counter Box Token - Params",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110580c2d72f02d804a006880e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[50000000,1,300,400,900]"
},
"R6": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R8": {
"serializedValue": "0580b8b872",
"sigmaType": "SLong",
"renderedValue": "120000000"
},
"R7": {
"serializedValue": "0580c2d72f",
"sigmaType": "SLong",
"renderedValue": "50000000"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "05d8d69e01",
"sigmaType": "SLong",
"renderedValue": "1299884"
}
},
"spentTransactionId": "50f35dd872322813dbb564f4bda3312a129e189440541aa078ef1824758e5866",
"mainChain": true
},
{
"boxId": "f064adb2f8cc4177f3e7dee0f5550223033395d4797115e93d9e509635d36b99",
"transactionId": "eb4325c3d13bda229101b7487c249c5c4f7e3a13c5e1e43a9c063fb203f14180",
"blockId": "ade17d9bf9fd6d0a852fc29f83a159c9d32ef2fd71590a6958aa044a8d3538ed",
"value": 1000000,
"index": 1,
"globalIndex": 41209073,
"creationHeight": 1299891,
"settlementHeight": 1299893,
"ergoTree": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6b1001,e0825c,...)))}",
"address": "9hGxTdZKhZ12eZNzg7mCGRpuHTvxayNm7gxPz6rmbMtVpjdjYQh",
"assets": [
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 0,
"amount": 50000000,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b5824ef13d8b7cb41b917a34d356d07909844606a4f7024d0e8b911abc46a59a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b5824ef13d8b7cb41b917a34d356d07909844606a4f7024d0e8b911abc46a59a"
}
},
"spentTransactionId": "a3f3b5bc8f8dbd8e5ec1e818bbc6317915f0175251a7f8a3aede9dfbefd0a8a9",
"mainChain": true
},
{
"boxId": "b7784567f3905562bc5d30b4ca91415bd25697fe5e57165031aa693357467740",
"transactionId": "eb4325c3d13bda229101b7487c249c5c4f7e3a13c5e1e43a9c063fb203f14180",
"blockId": "ade17d9bf9fd6d0a852fc29f83a159c9d32ef2fd71590a6958aa044a8d3538ed",
"value": 1000000,
"index": 2,
"globalIndex": 41209074,
"creationHeight": 1299891,
"settlementHeight": 1299893,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "e72f86dae60461b703923937d5a1abb14344dce5c91d87378052d99a88c2274b",
"mainChain": true
}
],
"size": 1782,
"isUnconfirmed": false
}