Transaction
ID: 6f06bd95f4...23b9
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:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 587,021
Total coins transferred: 0.003 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000581 ERG
Raw Transaction Data
{
"id": "6f06bd95f45ae02de0fe8ab2f3e960cf2ec2894b44bb89ea7d6be3c9a22a23b9",
"blockId": "9e76a6ae9744419ddd6230b83a2a6725fba08471eba779df70996d6d59d55bec",
"inclusionHeight": 1177681,
"timestamp": 1705213623687,
"index": 1,
"globalIndex": 6467587,
"numConfirmations": 587021,
"inputs": [
{
"boxId": "a58a5c7a5b3ae02b26c908548114f85a06ce077f79a01f69fb87d8dd34ed0dda",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "a781b2a0b03802c21a4b260df421aa4931fa33eb83803040464aab6e3095ba5d",
"outputTransactionId": "de51142a32f3493e6d62b771499b9d7e5883c29a1de2a9632c5670bf315a717c",
"outputIndex": 0,
"outputGlobalIndex": 36090812,
"outputCreatedAt": 1177654,
"outputSettledAt": 1177656,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(104,23,40,-84,20,-34,85,90,-63,-67,49,92,28,-21,58,-11,9,-71,98,-71,-91,-122,-46,-85,55,-38,74,-68,-85,-96,-128,-120)\n1: 0\n2: Coll(11,-102,-8,113,47,-24,-64,26,-17,90,38,52,-92,54,-1,-54,-24,-7,-101,48,19,-103,117,-127,46,7,113,-98,-88,-103,60,16)\n3: 0\n4: Coll(45,83,66,118,-65,-51,-39,120,107,91,14,30,-102,81,-14,-58,-83,-61,120,87,-82,44,124,-107,43,35,-33,-101,64,60,-50,28)\n5: 0\n6: 50\n7: 50\n8: 10\n9: 0\n10: 0\n11: 100000\n12: 0\n13: 0\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 1\n26: 0\n27: 1\n28: 0\n29: 100000\n30: 1000\n31: 1000000\n32: 900\n33: 500\n34: false\n35: 1\n36: 2\n37: 1\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 300\n44: 0\n45: 0\n46: 0\n47: 0\n48: 100000\n49: 1000\n50: 500\n51: 1\n52: 0\n53: 1\n54: 1\n55: false\n56: 0",
"ergoTreeScript": "{sigmaProp(\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 tuple12 = box4.R5[(Long, 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 tuple17 = SELF.R5[(Long, Long)].get\n val coll18 = SELF.R6[Coll[Byte]].get\n val l19 = tuple12._2\n val l20 = tuple12._1\n val l21 = SELF.R7[Long].get\n val l22 = SELF.R9[Long].get\n val coll23 = placeholder[Coll[Byte]](2)\n val tuple24 = coll10(placeholder[Int](3))\n val coll25 = placeholder[Coll[Byte]](4)\n val tuple26 = coll9(placeholder[Int](5))\n val l27 = tuple17._2\n val coll28 = tuple24._1\n val l29 = tuple17._1\n val l30 = tuple24._2\n val coll31 = tuple26._1\n val l32 = tuple26._2\n val l33 = l2 + placeholder[Long](6)\n val l34 = l33 + placeholder[Long](7)\n if (l1 < l2 - placeholder[Long](8)) {(\n val box35 = CONTEXT.dataInputs(placeholder[Int](9))\n val tuple36 = box35.tokens(placeholder[Int](10))\n val l37 = tuple36._2\n val l38 = l19\n val l39 = l20\n (\n (\n (\n (\n (\n (\n (((((tuple36._1 == coll3) && (l37 > SELF.R8[Long].get)) && (l37 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (\n coll9 == coll10\n )\n ) && (l2 == l11)\n ) && ((l38 == placeholder[Long](12)) && (l39 == box35.R4[Long].get))\n ) && (coll13 == box35.R5[Coll[Byte]].get)\n ) && (l14 == placeholder[Long](13))\n ) && (l15 == l37)\n ) && (l16 == placeholder[Long](14))\n )} else { if ((l1 > l2) && (l1 < l33)) {(\n val l35 = l27\n val coll36 = INPUTS.slice(placeholder[Int](15), INPUTS.size)\n val l37 = l29\n (((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((l19 == l35 + coll36.fold(placeholder[Long](16), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if ((box40.R4[Long].get == l37) && (box40.R5[Coll[Byte]].get == coll18)) { l41 + box40.tokens(placeholder[Int](17))._2 } else { l41 }\n })) && (l20 == l37))) && (coll13 == coll18)) && (l14 == coll36.fold(placeholder[Long](18), {(tuple38: (Long, Box)) => tuple38._1 + tuple38._2.tokens(placeholder[Int](19))._2 }) + l21)) && (l16 == l22 + coll36.fold(placeholder[Long](20), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if (box40.R9[Int].get == placeholder[Int](21)) { l41 + box40.tokens(placeholder[Int](22))._2 } else { l41 }\n }))) && coll36.forall({(box38: Box) =>\n val coll40 = box38.tokens\n ((coll40(placeholder[Int](23))._1 == coll23) && (coll40(placeholder[Int](24))._1 == coll3)) && (box38.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box38: Box) => box38.tokens.forall({(tuple40: (Coll[Byte], Long)) => tuple40._1 != coll23 }) })\n )} else { if ((l1 > l33) && (l1 < l34)) {(\n val box35 = INPUTS(placeholder[Int](25))\n val l36 = box35.R4[Long].get\n val tuple37 = box35.tokens(placeholder[Int](26))\n val coll38 = coll28\n val l39 = l30\n val box40 = OUTPUTS(placeholder[Int](27))\n val tuple41 = box40.tokens(placeholder[Int](28))\n val coll42 = coll31\n val l43 = l32\n (((((((((((((if (l21 > placeholder[Long](29)) {(\n val l44 = l22 * placeholder[Long](30) / l21\n if (l36 > placeholder[Long](31)) { l44 > placeholder[Long](32) } else { l44 > placeholder[Long](33) }\n )} else { placeholder[Boolean](34) } && (((tuple37._1 == coll38) && (tuple37._2 == placeholder[Long](35))) && (l39 == box35.R6[Long].get))) && (blake2b256(box40.propositionBytes) == coll25)) && ((tuple41._1 == coll38) && (tuple41._2 == placeholder[Long](36)))) && (l36 == box40.R4[Long].get)) && (box35.R5[Coll[Byte]].get == box40.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll42 == coll38) && (l43 == l39 - placeholder[Long](37)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (tuple12 == (placeholder[Long](38), placeholder[Long](39)))) && (l14 == placeholder[Long](40))) && (l16 == placeholder[Long](41))) && (l15 == placeholder[Long](42))\n )} else { if (l1 > l34) {(\n val bool35 = ((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](43))) && (tuple12 == (placeholder[Long](44), placeholder[Long](45)))) && (l14 == placeholder[Long](46))) && (l16 == l22)) && (l15 == placeholder[Long](47))\n if ((l21 > placeholder[Long](48)) && (l27 * placeholder[Long](49) / l21 > placeholder[Long](50))) {(\n val box36 = OUTPUTS(placeholder[Int](51))\n val tuple37 = box36.tokens(placeholder[Int](52))\n (((((bool35 && (blake2b256(box36.propositionBytes) == coll25)) && ((tuple37._1 == coll28) && (tuple37._2 == placeholder[Long](53)))) && (box36.R4[Long].get == l29)) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll18)) && ((coll31 == coll28) && (l32 == l30 - placeholder[Long](54)))\n )} else { bool35 && (coll9 == coll10) }\n )} else { placeholder[Boolean](55) && (HEIGHT > placeholder[Int](56)) } } } }\n)}",
"address": "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",
"assets": [
{
"tokenId": "6e0fc9d5d213fbe221614b205ed473c9155f761841cd7557f83abc0747a7bad8",
"index": 0,
"amount": 1999999999,
"name": "Counter Tokens",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59809bee0200",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[3000000,0]"
},
"R6": {
"serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
},
"R8": {
"serializedValue": "0580b518",
"sigmaType": "SLong",
"renderedValue": "200000"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "0594e18f01",
"sigmaType": "SLong",
"renderedValue": "1177674"
}
}
},
{
"boxId": "483e56ff6121a6e3d0d54d67592c576170fb297ef20cc0d48c8b620ba40808df",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "18616eeef3caa0b720f01d4b5a9e368ba2f0073e2f12c6242fc511edb8786156",
"outputTransactionId": "86b69f86197813128e83020fab37909e4484b464966683028e7522dc7bf3e7b8",
"outputIndex": 1,
"outputGlobalIndex": 36090956,
"outputCreatedAt": 1177660,
"outputSettledAt": 1177663,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(110,15,-55,-43,-46,19,-5,-30,33,97,75,32,94,-44,115,-55,21,95,118,24,65,-51,117,87,-8,58,-68,7,71,-89,-70,-40)\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",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val bool2 = coll1.size > placeholder[Int](0)\n val coll3 = placeholder[Coll[Byte]](1)\n if (bool2) {(\n val box4 = coll1(placeholder[Int](2))\n proveDlog(SELF.R6[GroupElement].get) && sigmaProp(\n if (bool2 && box4.R4[Long].isDefined) { HEIGHT.toLong < box4.R4[Long].get } else { placeholder[Boolean](3) }\n ) && sigmaProp(HEIGHT.toLong > SELF.R8[Long].get + placeholder[Int](4).toLong) && sigmaProp(if (bool2 && (box4.tokens.size > placeholder[Int](5))) {(\n val tuple5 = box4.tokens(placeholder[Int](6))\n (tuple5._1 == coll3) && (tuple5._2 > placeholder[Int](7).toLong)\n )} else { placeholder[Boolean](8) }) && sigmaProp(OUTPUTS.forall({(box5: Box) =>\n val coll7 = box5.tokens\n if (coll7.size > placeholder[Int](9)) { coll7.forall({(tuple8: (Coll[Byte], Long)) => tuple8._1 != SELF.tokens(placeholder[Int](10))._1 }) } else { placeholder[Boolean](11) }\n }))\n )} else {(\n val tuple4 = INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))\n sigmaProp(\n ((tuple4._1 == coll3) && (tuple4._2 > placeholder[Int](14).toLong)) && OUTPUTS.slice(placeholder[Int](15), OUTPUTS.size).exists(\n {(box5: Box) =>\n ((box5.propositionBytes == SELF.R7[Coll[Byte]].get) && (box5.tokens(placeholder[Int](16)) == SELF.tokens(placeholder[Int](17)))) && (\n box5.R4[Coll[Byte]].get == SELF.id\n )\n }\n )\n )\n )}\n}",
"address": "HujSEtihb6ib81oEuEHwsxPiMRbxavLALLusprG3wfq1TvZG3EbXwxqv2cgWGSDAP5ZYYU147rLL4Sn9SbKQoJMnoJLzavhSktvDkKdFtRoBhVVFCmuQPuA8nWxu22YR5aCfPFSDH5YVC2C83NF4cw4xFyfF9CMmSfBDhzv8GrKFuhLLwWxf1MfSM6PUxgFoU777xn9dJhTWEz6bk1nUWrru19nzPuasMpJpuTYeKX4CeNUsk6SzuHF5gARMpNyxwBRugtjiKEmSNeX9tDnwQKjEzJff2tTLpbkqE7364jhy8sFfMzb1AT7dVnHkLNruoFhDQ6kTPgdtj7GNViin4gK9mctaVHfAKFwXY9msgmquSPxhTseLpUpxPJuHgcodnreZYWYW73PpbTkQHmHebwPDFx7NHeHGaQsCBr9zEvPbJ4VAUtnX3ezVptwwfxwP232akuGyV5ueYR6tPTpp8",
"assets": [
{
"tokenId": "0b9af8712fe8c01aef5a2634a436ffcae8f99b30139975812e07719ea8993c10",
"index": 0,
"amount": 1,
"name": "Vote Token",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "681728ac14de555ac1bd315c1ceb3af509b962b9a586d2ab37da4abcaba08088",
"index": 1,
"amount": 250000,
"name": "Test quacks",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
},
"R6": {
"serializedValue": "07036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"sigmaType": "SGroupElement",
"renderedValue": "036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
},
"R8": {
"serializedValue": "0582e18f01",
"sigmaType": "SLong",
"renderedValue": "1177665"
},
"R7": {
"serializedValue": "0e240008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608"
},
"R9": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
},
"R4": {
"serializedValue": "05809bee02",
"sigmaType": "SLong",
"renderedValue": "3000000"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "fdb453cedb5fc629cccd12cf950ca78370b629dd0b313ab934e0eae84fcbb586",
"transactionId": "6f06bd95f45ae02de0fe8ab2f3e960cf2ec2894b44bb89ea7d6be3c9a22a23b9",
"blockId": "9e76a6ae9744419ddd6230b83a2a6725fba08471eba779df70996d6d59d55bec",
"value": 1000000,
"index": 0,
"globalIndex": 36091759,
"creationHeight": 1177679,
"settlementHeight": 1177681,
"ergoTree": "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",
"ergoTreeConstants": "0: Coll(104,23,40,-84,20,-34,85,90,-63,-67,49,92,28,-21,58,-11,9,-71,98,-71,-91,-122,-46,-85,55,-38,74,-68,-85,-96,-128,-120)\n1: 0\n2: Coll(11,-102,-8,113,47,-24,-64,26,-17,90,38,52,-92,54,-1,-54,-24,-7,-101,48,19,-103,117,-127,46,7,113,-98,-88,-103,60,16)\n3: 0\n4: Coll(45,83,66,118,-65,-51,-39,120,107,91,14,30,-102,81,-14,-58,-83,-61,120,87,-82,44,124,-107,43,35,-33,-101,64,60,-50,28)\n5: 0\n6: 50\n7: 50\n8: 10\n9: 0\n10: 0\n11: 100000\n12: 0\n13: 0\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 1\n26: 0\n27: 1\n28: 0\n29: 100000\n30: 1000\n31: 1000000\n32: 900\n33: 500\n34: false\n35: 1\n36: 2\n37: 1\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 300\n44: 0\n45: 0\n46: 0\n47: 0\n48: 100000\n49: 1000\n50: 500\n51: 1\n52: 0\n53: 1\n54: 1\n55: false\n56: 0",
"ergoTreeScript": "{sigmaProp(\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 tuple12 = box4.R5[(Long, 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 tuple17 = SELF.R5[(Long, Long)].get\n val coll18 = SELF.R6[Coll[Byte]].get\n val l19 = tuple12._2\n val l20 = tuple12._1\n val l21 = SELF.R7[Long].get\n val l22 = SELF.R9[Long].get\n val coll23 = placeholder[Coll[Byte]](2)\n val tuple24 = coll10(placeholder[Int](3))\n val coll25 = placeholder[Coll[Byte]](4)\n val tuple26 = coll9(placeholder[Int](5))\n val l27 = tuple17._2\n val coll28 = tuple24._1\n val l29 = tuple17._1\n val l30 = tuple24._2\n val coll31 = tuple26._1\n val l32 = tuple26._2\n val l33 = l2 + placeholder[Long](6)\n val l34 = l33 + placeholder[Long](7)\n if (l1 < l2 - placeholder[Long](8)) {(\n val box35 = CONTEXT.dataInputs(placeholder[Int](9))\n val tuple36 = box35.tokens(placeholder[Int](10))\n val l37 = tuple36._2\n val l38 = l19\n val l39 = l20\n (\n (\n (\n (\n (\n (\n (((((tuple36._1 == coll3) && (l37 > SELF.R8[Long].get)) && (l37 > placeholder[Long](11))) && (coll5 == coll6)) && (l7 >= l8)) && (\n coll9 == coll10\n )\n ) && (l2 == l11)\n ) && ((l38 == placeholder[Long](12)) && (l39 == box35.R4[Long].get))\n ) && (coll13 == box35.R5[Coll[Byte]].get)\n ) && (l14 == placeholder[Long](13))\n ) && (l15 == l37)\n ) && (l16 == placeholder[Long](14))\n )} else { if ((l1 > l2) && (l1 < l33)) {(\n val l35 = l27\n val coll36 = INPUTS.slice(placeholder[Int](15), INPUTS.size)\n val l37 = l29\n (((((((((coll5 == coll6) && (l7 >= l8)) && (coll9 == coll10)) && (l2 == l11)) && ((l19 == l35 + coll36.fold(placeholder[Long](16), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if ((box40.R4[Long].get == l37) && (box40.R5[Coll[Byte]].get == coll18)) { l41 + box40.tokens(placeholder[Int](17))._2 } else { l41 }\n })) && (l20 == l37))) && (coll13 == coll18)) && (l14 == coll36.fold(placeholder[Long](18), {(tuple38: (Long, Box)) => tuple38._1 + tuple38._2.tokens(placeholder[Int](19))._2 }) + l21)) && (l16 == l22 + coll36.fold(placeholder[Long](20), {(tuple38: (Long, Box)) =>\n val box40 = tuple38._2\n val l41 = tuple38._1\n if (box40.R9[Int].get == placeholder[Int](21)) { l41 + box40.tokens(placeholder[Int](22))._2 } else { l41 }\n }))) && coll36.forall({(box38: Box) =>\n val coll40 = box38.tokens\n ((coll40(placeholder[Int](23))._1 == coll23) && (coll40(placeholder[Int](24))._1 == coll3)) && (box38.R8[Long].get < l2)\n })) && OUTPUTS.forall({(box38: Box) => box38.tokens.forall({(tuple40: (Coll[Byte], Long)) => tuple40._1 != coll23 }) })\n )} else { if ((l1 > l33) && (l1 < l34)) {(\n val box35 = INPUTS(placeholder[Int](25))\n val l36 = box35.R4[Long].get\n val tuple37 = box35.tokens(placeholder[Int](26))\n val coll38 = coll28\n val l39 = l30\n val box40 = OUTPUTS(placeholder[Int](27))\n val tuple41 = box40.tokens(placeholder[Int](28))\n val coll42 = coll31\n val l43 = l32\n (((((((((((((if (l21 > placeholder[Long](29)) {(\n val l44 = l22 * placeholder[Long](30) / l21\n if (l36 > placeholder[Long](31)) { l44 > placeholder[Long](32) } else { l44 > placeholder[Long](33) }\n )} else { placeholder[Boolean](34) } && (((tuple37._1 == coll38) && (tuple37._2 == placeholder[Long](35))) && (l39 == box35.R6[Long].get))) && (blake2b256(box40.propositionBytes) == coll25)) && ((tuple41._1 == coll38) && (tuple41._2 == placeholder[Long](36)))) && (l36 == box40.R4[Long].get)) && (box35.R5[Coll[Byte]].get == box40.R5[Coll[Byte]].get)) && (coll5 == coll6)) && (l7 >= l8)) && ((coll42 == coll38) && (l43 == l39 - placeholder[Long](37)))) && (coll9.size == coll10.size)) && (l2 == l11)) && (tuple12 == (placeholder[Long](38), placeholder[Long](39)))) && (l14 == placeholder[Long](40))) && (l16 == placeholder[Long](41))) && (l15 == placeholder[Long](42))\n )} else { if (l1 > l34) {(\n val bool35 = ((((((coll5 == coll6) && (l7 >= l8)) && (l11 == l2 + placeholder[Long](43))) && (tuple12 == (placeholder[Long](44), placeholder[Long](45)))) && (l14 == placeholder[Long](46))) && (l16 == l22)) && (l15 == placeholder[Long](47))\n if ((l21 > placeholder[Long](48)) && (l27 * placeholder[Long](49) / l21 > placeholder[Long](50))) {(\n val box36 = OUTPUTS(placeholder[Int](51))\n val tuple37 = box36.tokens(placeholder[Int](52))\n (((((bool35 && (blake2b256(box36.propositionBytes) == coll25)) && ((tuple37._1 == coll28) && (tuple37._2 == placeholder[Long](53)))) && (box36.R4[Long].get == l29)) && (box36.R6[Long].get == l30)) && (box36.R5[Coll[Byte]].get == coll18)) && ((coll31 == coll28) && (l32 == l30 - placeholder[Long](54)))\n )} else { bool35 && (coll9 == coll10) }\n )} else { placeholder[Boolean](55) && (HEIGHT > placeholder[Int](56)) } } } }\n)}",
"address": "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",
"assets": [
{
"tokenId": "6e0fc9d5d213fbe221614b205ed473c9155f761841cd7557f83abc0747a7bad8",
"index": 0,
"amount": 1999999999,
"name": "Counter Tokens",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59809bee02a0c21e",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[3000000,250000]"
},
"R6": {
"serializedValue": "0e240008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96"
},
"R8": {
"serializedValue": "0580b518",
"sigmaType": "SLong",
"renderedValue": "200000"
},
"R7": {
"serializedValue": "05a0c21e",
"sigmaType": "SLong",
"renderedValue": "250000"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "0594e18f01",
"sigmaType": "SLong",
"renderedValue": "1177674"
}
},
"spentTransactionId": "76a06f3252e802c60d16c2dd2dad2f1e52d7629ba29643b51d42fddf23a00154",
"mainChain": true
},
{
"boxId": "cbcbd81f1104e8224aaf313efc26096e08f5810f6d0cc2f0cbb0ec90e23437af",
"transactionId": "6f06bd95f45ae02de0fe8ab2f3e960cf2ec2894b44bb89ea7d6be3c9a22a23b9",
"blockId": "9e76a6ae9744419ddd6230b83a2a6725fba08471eba779df70996d6d59d55bec",
"value": 1000000,
"index": 1,
"globalIndex": 36091760,
"creationHeight": 1177679,
"settlementHeight": 1177681,
"ergoTree": "0008cd036b1001ad3e368f9ca5272a21affee9e8d0f21df023ee9e8ba0ab0047dc6b9608",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6b1001,e0825c,...)))}",
"address": "9hGxTdZKhZ12eZNzg7mCGRpuHTvxayNm7gxPz6rmbMtVpjdjYQh",
"assets": [
{
"tokenId": "681728ac14de555ac1bd315c1ceb3af509b962b9a586d2ab37da4abcaba08088",
"index": 0,
"amount": 250000,
"name": "Test quacks",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20483e56ff6121a6e3d0d54d67592c576170fb297ef20cc0d48c8b620ba40808df",
"sigmaType": "Coll[SByte]",
"renderedValue": "483e56ff6121a6e3d0d54d67592c576170fb297ef20cc0d48c8b620ba40808df"
}
},
"spentTransactionId": "fae71fa06b2e5262800e94f8895afc58d855d1f1fed3b7cdaf1906af0ee10bbe",
"mainChain": true
},
{
"boxId": "226b9424d009c71c978ded2b99d07e037c9e27bd19cd91aa37ad311ae6534204",
"transactionId": "6f06bd95f45ae02de0fe8ab2f3e960cf2ec2894b44bb89ea7d6be3c9a22a23b9",
"blockId": "9e76a6ae9744419ddd6230b83a2a6725fba08471eba779df70996d6d59d55bec",
"value": 1000000,
"index": 2,
"globalIndex": 36091761,
"creationHeight": 1177679,
"settlementHeight": 1177681,
"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": "b77e6e78b3212149b99ab2bfd5cd2f71cad6bc553870f6827aff9e6c6f8a7ace",
"mainChain": true
}
],
"size": 1721,
"isUnconfirmed": false
}