Transaction
ID: 81cdfedf92...f1f7
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00447456 ERG
Tokens:
Loading assets...
Outputs (4)
Unspent
Address:
Settlement height:
Value:
0.00147456 ERG
Tokens:
Loading assets...
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 86,895
Total coins transferred: 0.00447456 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000188 ERG
Raw Transaction Data
{
"id": "81cdfedf92c2ca4c831527b27a7464a8d8e4db0c6f64fc42ab394b3eb6c2f1f7",
"blockId": "bed66a5cecf1aeca054b29cdfb37d0a3bf8cc8099b2c46870f9634a674bd36b2",
"inclusionHeight": 1688632,
"timestamp": 1767065827263,
"index": 12,
"globalIndex": 10055943,
"numConfirmations": 86895,
"inputs": [
{
"boxId": "3eb41da90bb7f6fef0622cd761ff62464fa177190eb067cb85b4433356dada66",
"value": 4474560,
"index": 0,
"spendingProof": null,
"outputBlockId": "894fca247fc9be754e3c28708c7e216e6746f519dbaf91a3920aa296dd8c75cc",
"outputTransactionId": "21b7183eed469db9dfe5349a61dde370ad1e5718098c2abc2715f9fb3a61348e",
"outputIndex": 0,
"outputGlobalIndex": 52615049,
"outputCreatedAt": 1688628,
"outputSettledAt": 1688629,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 1\n7: 1\n8: 4\n9: Coll(48,46,-109,-24,-93,121,-5,123,-41,80,86,121,71,-48,-93,-106,-14,-79,56,-75,23,-127,-25,67,69,126,-30,6,-27,-72,-20,-64)\n10: 1\n11: 0\n12: 0\n13: 1\n14: 2\n15: 2\n16: 0\n17: 2\n18: 0\n19: 0\n20: 1\n21: 2\n22: 3\n23: 3\n24: 1474560\n25: 4\n26: 1000\n27: 1000\n28: 0\n29: 1000\n30: 1\n31: 0\n32: 1000000\n33: 1\n34: false\n35: 0\n36: 0\n37: 2\n38: 1\n39: 0\n40: 0\n41: 2\n42: 2\n43: 0\n44: 1\n45: 0\n46: 2\n47: 0\n48: 4474560\n49: true\n50: 1\n51: 0\n52: 2\n53: 2\n54: false",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Long]].get\n val l2 = coll1(placeholder[Int](0))\n val coll3 = SELF.R9[Coll[Long]].get\n val l4 = coll3(placeholder[Int](1))\n val coll5 = SELF.tokens\n val box6 = OUTPUTS(placeholder[Int](2))\n val coll7 = box6.R9[Coll[Long]].get\n val l8 = coll3(placeholder[Int](3))\n val bool9 = box6.R4[Coll[Long]].get == coll1\n val bool10 = box6.R5[Coll[Coll[Byte]]].get == SELF.R5[Coll[Coll[Byte]]].get\n val bool11 = box6.R6[Coll[Byte]].get == SELF.R6[Coll[Byte]].get\n val coll12 = SELF.R7[Coll[Byte]].get\n val bool13 = box6.R7[Coll[Byte]].get == coll12\n val coll14 = SELF.R8[Coll[Byte]].get\n val bool15 = box6.R8[Coll[Byte]].get == coll14\n val bool16 = box6.propositionBytes == SELF.propositionBytes\n val coll17 = box6.tokens\n val bool18 = coll17(placeholder[Int](4)) == coll5(placeholder[Int](5))\n val bool19 = coll17(placeholder[Int](6)) == coll5(placeholder[Int](7))\n val l20 = coll3(placeholder[Int](8))\n val coll21 = placeholder[Coll[Byte]](9)\n if (INPUTS.size == placeholder[Int](10)) {(\n val box22 = CONTEXT.dataInputs(placeholder[Int](11))\n val l23 = box22.R8[Coll[Long]].get(placeholder[Int](12))\n val box24 = OUTPUTS(placeholder[Int](13))\n val l25 = if (coll5.size > placeholder[Int](14)) { coll5(placeholder[Int](15))._2 } else { placeholder[Long](16) }\n val box26 = OUTPUTS(placeholder[Int](17))\n val opt27 = box22.R7[Coll[Byte]]\n val bool28 = allOf(\n Coll[Boolean](\n bool9, bool10, bool11, bool13, bool15, coll7(placeholder[Int](18)) == coll3(placeholder[Int](19)), coll7(placeholder[Int](20)) == l8, coll7(\n placeholder[Int](21)\n ) == l4, coll7(placeholder[Int](22)) == coll3(placeholder[Int](23)), bool16, bool18, bool19, box6.value == placeholder[Long](24)\n )\n )\n val bool29 = coll7(placeholder[Int](25)) == l20 + l25\n val l30 = l25 * l2 / placeholder[Long](26) * l23 / placeholder[Long](27)\n if ((l2 == placeholder[Long](28)) || (l4 * l23 / placeholder[Long](29) < placeholder[Long](30))) {(\n val tuple31 = box24.tokens(placeholder[Int](31))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool28, bool29, allOf(Coll[Boolean](tuple31._1 == coll12, box24.propositionBytes == coll14, tuple31._2 == l25)), allOf(\n Coll[Boolean](box26.propositionBytes == opt27.get, box26.value == placeholder[Long](32))\n )\n )\n )\n )\n )} else { if (l30 < placeholder[Long](33)) { sigmaProp(placeholder[Boolean](34)) } else {(\n val tuple31 = box24.tokens(placeholder[Int](35))\n val tuple32 = box26.tokens(placeholder[Int](36))\n sigmaProp(allOf(Coll[Boolean](bool28, bool29, allOf(Coll[Boolean](tuple31._1 == coll12, box24.propositionBytes == coll14, tuple31._2 == l25 - l30)), allOf(Coll[Boolean](tuple32._1 == coll12, box26.propositionBytes == opt27.get, tuple32._2 == l30)))))\n )} }\n )} else {(\n val bool22 = coll5.size > placeholder[Int](37)\n val tuple23 = (Coll[Byte](placeholder[Byte](38)), placeholder[Long](39))\n val bool24 = if (bool22) {\n (\n ((coll5.getOrElse(placeholder[Int](40), tuple23)._1 == coll21) && (coll5.getOrElse(placeholder[Int](41), tuple23)._1 == coll12)) && (\n coll5.getOrElse(placeholder[Int](42), tuple23)._2 < l8 - l20\n )\n ) && (l20 < l8)\n } else { (coll5.getOrElse(placeholder[Int](43), tuple23)._1 == coll21) && (l20 < l8) }\n val box25 = INPUTS(placeholder[Int](44))\n val l26 = if (bool22) { box25.tokens(placeholder[Int](45))._2 + coll5(placeholder[Int](46))._2 } else { box25.tokens(placeholder[Int](47))._2 }\n if (bool24) {(\n val bool27 = allOf(\n Coll[Boolean](\n box6.value >= placeholder[Long](48), placeholder[Boolean](49), allOf(\n Coll[Boolean](bool9, bool10, bool11, bool13, bool15, coll7 == coll3, bool16, bool18, bool19)\n ), bool24\n )\n )\n if (l26 > l8) {(\n val tuple28 = OUTPUTS(placeholder[Int](50)).tokens(placeholder[Int](51))\n val l29 = l8 - l20\n val tuple30 = coll17(placeholder[Int](52))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](tuple28._2 == l26 - l29, tuple28._1 == coll12)), allOf(Coll[Boolean](tuple30._2 == l29, tuple30._1 == coll12)), bool27\n )\n )\n )\n )} else {(\n val tuple28 = coll17(placeholder[Int](53))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](tuple28._2 == l26, tuple28._1 == coll12)), bool27)))\n )}\n )} else { sigmaProp(placeholder[Boolean](54)) }\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "302e93e8a379fb7bd750567947d0a396f2b138b51781e743457ee206e5b8ecc0",
"index": 0,
"amount": 1,
"name": "Exle: SLT RepaymentBox Token V1.3",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "72c647c8779f446c4fc6078c1bf4bf598335c38006f40d2daa6d84909aeaf16a",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 2,
"amount": 101,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a0210746573742063726f77642066756e64201c6c6574732067657420612063726f77642066756e6420676f696e672e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[746573742063726f77642066756e6420,6c6574732067657420612063726f77642066756e6420676f696e672e]"
},
"R6": {
"serializedValue": "0e240008cd03f898847d7d0bce46ce6766124e7ec15656a97e9cc854170606c730a9f8b9666a",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03f898847d7d0bce46ce6766124e7ec15656a97e9cc854170606c730a9f8b9666a"
},
"R8": {
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}
}
}
],
"outputs": [
{
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"transactionId": "81cdfedf92c2ca4c831527b27a7464a8d8e4db0c6f64fc42ab394b3eb6c2f1f7",
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"value": 1474560,
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"ergoTreeConstants": "0: 2\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 1\n7: 1\n8: 4\n9: Coll(48,46,-109,-24,-93,121,-5,123,-41,80,86,121,71,-48,-93,-106,-14,-79,56,-75,23,-127,-25,67,69,126,-30,6,-27,-72,-20,-64)\n10: 1\n11: 0\n12: 0\n13: 1\n14: 2\n15: 2\n16: 0\n17: 2\n18: 0\n19: 0\n20: 1\n21: 2\n22: 3\n23: 3\n24: 1474560\n25: 4\n26: 1000\n27: 1000\n28: 0\n29: 1000\n30: 1\n31: 0\n32: 1000000\n33: 1\n34: false\n35: 0\n36: 0\n37: 2\n38: 1\n39: 0\n40: 0\n41: 2\n42: 2\n43: 0\n44: 1\n45: 0\n46: 2\n47: 0\n48: 4474560\n49: true\n50: 1\n51: 0\n52: 2\n53: 2\n54: false",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Long]].get\n val l2 = coll1(placeholder[Int](0))\n val coll3 = SELF.R9[Coll[Long]].get\n val l4 = coll3(placeholder[Int](1))\n val coll5 = SELF.tokens\n val box6 = OUTPUTS(placeholder[Int](2))\n val coll7 = box6.R9[Coll[Long]].get\n val l8 = coll3(placeholder[Int](3))\n val bool9 = box6.R4[Coll[Long]].get == coll1\n val bool10 = box6.R5[Coll[Coll[Byte]]].get == SELF.R5[Coll[Coll[Byte]]].get\n val bool11 = box6.R6[Coll[Byte]].get == SELF.R6[Coll[Byte]].get\n val coll12 = SELF.R7[Coll[Byte]].get\n val bool13 = box6.R7[Coll[Byte]].get == coll12\n val coll14 = SELF.R8[Coll[Byte]].get\n val bool15 = box6.R8[Coll[Byte]].get == coll14\n val bool16 = box6.propositionBytes == SELF.propositionBytes\n val coll17 = box6.tokens\n val bool18 = coll17(placeholder[Int](4)) == coll5(placeholder[Int](5))\n val bool19 = coll17(placeholder[Int](6)) == coll5(placeholder[Int](7))\n val l20 = coll3(placeholder[Int](8))\n val coll21 = placeholder[Coll[Byte]](9)\n if (INPUTS.size == placeholder[Int](10)) {(\n val box22 = CONTEXT.dataInputs(placeholder[Int](11))\n val l23 = box22.R8[Coll[Long]].get(placeholder[Int](12))\n val box24 = OUTPUTS(placeholder[Int](13))\n val l25 = if (coll5.size > placeholder[Int](14)) { coll5(placeholder[Int](15))._2 } else { placeholder[Long](16) }\n val box26 = OUTPUTS(placeholder[Int](17))\n val opt27 = box22.R7[Coll[Byte]]\n val bool28 = allOf(\n Coll[Boolean](\n bool9, bool10, bool11, bool13, bool15, coll7(placeholder[Int](18)) == coll3(placeholder[Int](19)), coll7(placeholder[Int](20)) == l8, coll7(\n placeholder[Int](21)\n ) == l4, coll7(placeholder[Int](22)) == coll3(placeholder[Int](23)), bool16, bool18, bool19, box6.value == placeholder[Long](24)\n )\n )\n val bool29 = coll7(placeholder[Int](25)) == l20 + l25\n val l30 = l25 * l2 / placeholder[Long](26) * l23 / placeholder[Long](27)\n if ((l2 == placeholder[Long](28)) || (l4 * l23 / placeholder[Long](29) < placeholder[Long](30))) {(\n val tuple31 = box24.tokens(placeholder[Int](31))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool28, bool29, allOf(Coll[Boolean](tuple31._1 == coll12, box24.propositionBytes == coll14, tuple31._2 == l25)), allOf(\n Coll[Boolean](box26.propositionBytes == opt27.get, box26.value == placeholder[Long](32))\n )\n )\n )\n )\n )} else { if (l30 < placeholder[Long](33)) { sigmaProp(placeholder[Boolean](34)) } else {(\n val tuple31 = box24.tokens(placeholder[Int](35))\n val tuple32 = box26.tokens(placeholder[Int](36))\n sigmaProp(allOf(Coll[Boolean](bool28, bool29, allOf(Coll[Boolean](tuple31._1 == coll12, box24.propositionBytes == coll14, tuple31._2 == l25 - l30)), allOf(Coll[Boolean](tuple32._1 == coll12, box26.propositionBytes == opt27.get, tuple32._2 == l30)))))\n )} }\n )} else {(\n val bool22 = coll5.size > placeholder[Int](37)\n val tuple23 = (Coll[Byte](placeholder[Byte](38)), placeholder[Long](39))\n val bool24 = if (bool22) {\n (\n ((coll5.getOrElse(placeholder[Int](40), tuple23)._1 == coll21) && (coll5.getOrElse(placeholder[Int](41), tuple23)._1 == coll12)) && (\n coll5.getOrElse(placeholder[Int](42), tuple23)._2 < l8 - l20\n )\n ) && (l20 < l8)\n } else { (coll5.getOrElse(placeholder[Int](43), tuple23)._1 == coll21) && (l20 < l8) }\n val box25 = INPUTS(placeholder[Int](44))\n val l26 = if (bool22) { box25.tokens(placeholder[Int](45))._2 + coll5(placeholder[Int](46))._2 } else { box25.tokens(placeholder[Int](47))._2 }\n if (bool24) {(\n val bool27 = allOf(\n Coll[Boolean](\n box6.value >= placeholder[Long](48), placeholder[Boolean](49), allOf(\n Coll[Boolean](bool9, bool10, bool11, bool13, bool15, coll7 == coll3, bool16, bool18, bool19)\n ), bool24\n )\n )\n if (l26 > l8) {(\n val tuple28 = OUTPUTS(placeholder[Int](50)).tokens(placeholder[Int](51))\n val l29 = l8 - l20\n val tuple30 = coll17(placeholder[Int](52))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](tuple28._2 == l26 - l29, tuple28._1 == coll12)), allOf(Coll[Boolean](tuple30._2 == l29, tuple30._1 == coll12)), bool27\n )\n )\n )\n )} else {(\n val tuple28 = coll17(placeholder[Int](53))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](tuple28._2 == l26, tuple28._1 == coll12)), bool27)))\n )}\n )} else { sigmaProp(placeholder[Boolean](54)) }\n )}\n}",
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},
"spentTransactionId": null,
"mainChain": true
},
{
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"transactionId": "81cdfedf92c2ca4c831527b27a7464a8d8e4db0c6f64fc42ab394b3eb6c2f1f7",
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"index": 1,
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"creationHeight": 1688629,
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"ergoTreeConstants": "0: 0\n1: Coll(114,-58,71,-56,119,-97,68,108,79,-58,7,-116,27,-12,-65,89,-125,53,-61,-128,6,-12,13,45,-86,109,-124,-112,-102,-22,-15,106)\n2: 0\n3: 4000000\n4: 0\n5: 0\n6: Coll(82,-51,-84,78,-82,-22,-34,92,82,5,107,26,94,108,-53,93,92,4,-8,25,-120,-79,90,-6,39,-71,61,-45,-75,109,76,-7)\n7: 1\n8: 1\n9: 0\n10: 1\n11: 1\n12: 2\n13: 3\n14: 2\n15: 1\n16: 0\n17: Coll(48,46,-109,-24,-93,121,-5,123,-41,80,86,121,71,-48,-93,-106,-14,-79,56,-75,23,-127,-25,67,69,126,-30,6,-27,-72,-20,-64)\n18: 2\n19: 1\n20: 1\n21: false\n22: 1\n23: 0\n24: 0\n25: 2\n26: 0\n27: 0\n28: 2\n29: 1000\n30: 1\n31: 0\n32: 1000000\n33: 0\n34: 0\n35: 0\n36: 1\n37: 1\n38: 1\n39: 1\n40: 2\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 0\n47: 0\n48: 0\n49: 0\n50: 1\n51: 1\n52: 1\n53: 2\n54: 2\n55: 2\n56: 1\n57: 2\n58: 1\n59: 2\n60: 2\n61: 0\n62: 2\n63: 1\n64: 1\n65: 1\n66: 1\n67: 1\n68: 1\n69: 0\n70: 1\n71: 0\n72: 1\n73: 1\n74: 0\n75: 1\n76: 1\n77: 1\n78: 0\n79: 0\n80: 1\n81: 1\n82: 1\n83: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = box2.tokens\n val coll4 = placeholder[Coll[Byte]](1)\n val coll5 = SELF.propositionBytes\n val box6 = OUTPUTS(placeholder[Int](2))\n val coll7 = box6.tokens\n val coll8 = SELF.tokens\n val bool9 = SELF.value >= placeholder[Long](3)\n val box10 = INPUTS(placeholder[Int](4))\n val tuple11 = coll3(placeholder[Int](5))\n val bool12 = allOf(Coll[Boolean](box2.propositionBytes == coll5, tuple11._1 == placeholder[Coll[Byte]](6), tuple11._2 == placeholder[Long](7)))\n val tuple13 = (Coll[Byte](placeholder[Byte](8)), placeholder[Long](9))\n val tuple14 = coll8.getOrElse(placeholder[Int](10), tuple13)\n val tuple15 = coll7.getOrElse(placeholder[Int](11), tuple13)\n val l16 = tuple15._2\n if (if ((coll3.size == placeholder[Int](12)) && (coll1.size == placeholder[Int](13))) {(\n val coll17 = coll1(placeholder[Int](14)).tokens\n allOf(\n Coll[Boolean](\n coll17(placeholder[Int](15))._1 == box2.R4[Coll[Byte]].get, coll17(placeholder[Int](16))._1 == placeholder[Coll[Byte]](17), box2.R6[\n Long\n ].get == placeholder[Long](18), coll3(placeholder[Int](19))._2 == placeholder[Long](20)\n )\n )\n )} else { placeholder[Boolean](21) }) {(\n val coll17 = INPUTS.filter({(box17: Box) => box17.propositionBytes != coll5 })\n val coll18 = box2.R5[Coll[Byte]].get\n val coll19 = OUTPUTS(placeholder[Int](22)).tokens\n val l20 = coll17.flatMap({(box20: Box) => box20.tokens.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll18 }) }).fold(\n placeholder[Long](23), {(tuple20: (Long, (Coll[Byte], Long))) => tuple20._1 + tuple20._2._2 }\n ) - coll19.filter({(tuple20: (Coll[Byte], Long)) => tuple20._1 == coll18 }).fold(\n placeholder[Long](24), {(tuple20: (Long, (Coll[Byte], Long))) => tuple20._1 + tuple20._2._2 }\n )\n val box21 = coll1(placeholder[Int](25))\n val coll22 = box21.R7[Coll[Byte]].get\n val l23 = coll19.filter({(tuple23: (Coll[Byte], Long)) => tuple23._1 == coll22 }).fold(\n placeholder[Long](26), {(tuple23: (Long, (Coll[Byte], Long))) => tuple23._1 + tuple23._2._2 }\n ) - coll17.flatMap({(box23: Box) => box23.tokens.filter({(tuple25: (Coll[Byte], Long)) => tuple25._1 == coll22 }) }).fold(\n placeholder[Long](27), {(tuple23: (Long, (Coll[Byte], Long))) => tuple23._1 + tuple23._2._2 }\n )\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.R4[Coll[Byte]].get == coll4, allOf(\n Coll[Boolean](\n l20 + l20 * box21.R4[Coll[Long]].get(placeholder[Int](28)) * placeholder[Long](29) - coll1(placeholder[Int](30)).R8[Coll[Long]].get(\n placeholder[Int](31)\n ) / placeholder[Long](32) == l23, INPUTS.filter({(box24: Box) => box24.propositionBytes == coll5 }).flatMap(\n {(box24: Box) => box24.tokens.filter({(tuple26: (Coll[Byte], Long)) => tuple26._1 == coll22 }) }\n ).fold(placeholder[Long](33), {(tuple24: (Long, (Coll[Byte], Long))) => tuple24._1 + tuple24._2._2 }) - coll7.filter(\n {(tuple24: (Coll[Byte], Long)) => tuple24._1 == coll22 }\n ).fold(placeholder[Long](34), {(tuple24: (Long, (Coll[Byte], Long))) => tuple24._1 + tuple24._2._2 }) == l23\n )\n ), box6.propositionBytes == coll5\n )\n )\n )\n )} else {\n if (allOf(\n Coll[Boolean](\n (SELF.id == box10.id) && (coll5 == OUTPUTS(placeholder[Int](35)).propositionBytes), tuple14._2 < l16, l16 != placeholder[Long](\n 36\n ), tuple14._1 == tuple15._1\n )\n )) {(\n val coll17 = INPUTS.slice(placeholder[Int](37), INPUTS.size + placeholder[Int](38))\n val coll18 = box2.R5[Coll[Byte]].get\n val box19 = OUTPUTS(placeholder[Int](39))\n val coll20 = box19.tokens\n val coll21 = coll1(placeholder[Int](40)).R7[Coll[Byte]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.R6[Long].get == placeholder[Long](41), allOf(\n Coll[Boolean](\n coll17.flatMap({(box22: Box) => box22.tokens.filter({(tuple24: (Coll[Byte], Long)) => tuple24._1 == coll18 }) }).fold(\n placeholder[Long](42), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) - coll20.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll18 }).fold(\n placeholder[Long](43), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) == coll20.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll21 }).fold(\n placeholder[Long](44), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) - coll17.flatMap({(box22: Box) => box22.tokens.filter({(tuple24: (Coll[Byte], Long)) => tuple24._1 == coll21 }) }).fold(\n placeholder[Long](45), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ), coll7.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll18 }).fold(\n placeholder[Long](46), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) - coll8.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll18 }).fold(\n placeholder[Long](47), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) == coll8.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll21 }).fold(\n placeholder[Long](48), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n ) - coll7.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll21 }).fold(\n placeholder[Long](49), {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 + tuple22._2._2 }\n )\n )\n ), coll17.forall({(box22: Box) => box22.propositionBytes == box19.propositionBytes }), bool9\n )\n )\n )\n )} else {(\n val opt17 = box2.R4[Coll[Byte]]\n val opt18 = box2.R5[Coll[Byte]]\n if (box2.R6[Long].get == placeholder[Long](50)) {(\n val box19 = OUTPUTS(placeholder[Int](51))\n val coll20 = opt18.get\n val coll21 = box19.tokens\n val tuple22 = coll21(placeholder[Int](52))\n val tuple23 = coll7(placeholder[Int](53))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box19.propositionBytes == coll5, allOf(\n Coll[Boolean](opt17.get == box19.R4[Coll[Byte]].get, coll20 == box19.R5[Coll[Byte]].get, box19.R6[Long].get == placeholder[Long](54))\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](coll21.size == placeholder[Int](55), tuple22._1 == coll20, tuple22._2 == placeholder[Long](56))), allOf(\n Coll[Boolean](tuple23._1 == box10.R7[Coll[Byte]].get, tuple23._2 == coll8(placeholder[Int](57))._2)\n )\n )\n ), box10.tokens(placeholder[Int](58))._1 == coll4, bool12, bool9\n )\n )\n )\n )} else {(\n val tuple19 = coll7(placeholder[Int](59))\n val l20 = tuple19._2\n val box21 = coll1(placeholder[Int](60))\n val l22 = box21.R4[Coll[Long]].get(placeholder[Int](61))\n val bool23 = l20 == l22\n val coll24 = box21.R7[Coll[Byte]].get\n val bool25 = tuple19._1 == coll24\n val l26 = l20 - coll8.getOrElse(placeholder[Int](62), tuple13)._2\n val coll27 = opt18.get\n val coll28 = opt17.get\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](if (bool23) {(\n val tuple29 = coll7(placeholder[Int](63))\n allOf(Coll[Boolean](tuple29._2 == placeholder[Long](64), tuple29._1 == coll8(placeholder[Int](65))._1, bool25))\n )} else {(\n val tuple29 = coll8(placeholder[Int](66))\n val tuple30 = coll7(placeholder[Int](67))\n allOf(Coll[Boolean](tuple29._2 - tuple30._2 == l26, tuple30._1 == tuple29._1, bool25))\n )}, OUTPUTS(placeholder[Int](68)).tokens.filter({(tuple29: (Coll[Byte], Long)) => tuple29._1 == coll27 }).fold(placeholder[Long](69), {(tuple29: (Long, (Coll[Byte], Long))) => tuple29._1 + tuple29._2._2 }) - INPUTS(placeholder[Int](70)).tokens.filter({(tuple29: (Coll[Byte], Long)) => tuple29._1 == coll27 }).fold(placeholder[Long](71), {(tuple29: (Long, (Coll[Byte], Long))) => tuple29._1 + tuple29._2._2 }) == l26)), allOf(Coll[Boolean](bool25, box21.tokens(placeholder[Int](72))._1 == coll28)), allOf(Coll[Boolean](coll28 == box6.R4[Coll[Byte]].get, coll27 == box6.R5[Coll[Byte]].get)), if (bool23) { allOf(Coll[Boolean](box6.R6[Long].get == placeholder[Long](73), coll7(placeholder[Int](74))._2 == placeholder[Long](75), coll7(placeholder[Int](76))._2 == placeholder[Long](77), bool23)) } else { allOf(Coll[Boolean](box6.R6[Long].get == placeholder[Long](78), coll7(placeholder[Int](79))._2 == placeholder[Long](80), coll7(placeholder[Int](81))._2 != placeholder[Long](82))) }, box6.propositionBytes == coll5, bool12, bool9, coll7.filter({(tuple29: (Coll[Byte], Long)) => tuple29._1 == coll24 }).fold(placeholder[Long](83), {(tuple29: (Long, (Coll[Byte], Long))) => tuple29._1 + tuple29._2._2 }) <= l22)))\n )}\n )}\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 0,
"amount": 101,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "68eb5867c27510636b5d64bea4d13578794fb3e0e352b74f96e98b56c28c3e47",
"transactionId": "81cdfedf92c2ca4c831527b27a7464a8d8e4db0c6f64fc42ab394b3eb6c2f1f7",
"blockId": "bed66a5cecf1aeca054b29cdfb37d0a3bf8cc8099b2c46870f9634a674bd36b2",
"value": 1000000,
"index": 2,
"globalIndex": 52615163,
"creationHeight": 1688629,
"settlementHeight": 1688632,
"ergoTree": "0008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))}",
"address": "9f83nJY4x9QkHmeek6PJMcTrf2xcaHAT3j5HD5sANXibXjMUixn",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "705f5cfc90a8c061f29b7b470a44ff4ebd1bcb5ee50faa63b933da1e4aeacbbd",
"transactionId": "81cdfedf92c2ca4c831527b27a7464a8d8e4db0c6f64fc42ab394b3eb6c2f1f7",
"blockId": "bed66a5cecf1aeca054b29cdfb37d0a3bf8cc8099b2c46870f9634a674bd36b2",
"value": 1000000,
"index": 3,
"globalIndex": 52615164,
"creationHeight": 1688629,
"settlementHeight": 1688632,
"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": "01cd23f5318e0d8542e9a2e3b8d18539b00171c567d730f190c197282b5e2757",
"mainChain": true
}
],
"size": 5329,
"isUnconfirmed": false
}