Transaction
ID: 76af4ad45e...d715
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.2037 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1029 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.2037 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1018 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 931,523
Total coins transferred: 0.3066 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000481 ERG
Raw Transaction Data
{
"id": "76af4ad45efe858a0076eecde5e2bf9d8637b4c7cbd941da480c3c80a44ed715",
"blockId": "70dc99d636ef4c8793089d1c3c87ea672961a64849e43e2aa72d1613a268390b",
"inclusionHeight": 833166,
"timestamp": 1662499302701,
"index": 16,
"globalIndex": 3946108,
"numConfirmations": 931523,
"inputs": [
{
"boxId": "285cdba743a428cd3e8144e3a38d49278f6be918c22b759b82040013ce08548d",
"value": 203700000,
"index": 0,
"spendingProof": "441520a58a802c0f8ad125b071581b1927a358e6a3a4bec65bc1f388f67558f1cd89965931ef48ef8932449c77c19cb52b643809f3bb3582",
"outputBlockId": "89f3b18c96adedbe6c1207bafbbb0fb8161642b2b8577e6e397d73e1e054b781",
"outputTransactionId": "608ebe1dfaa2ff681cbfd2201cabb36c7499babff114cdc246f574866b0e4429",
"outputIndex": 0,
"outputGlobalIndex": 21270460,
"outputCreatedAt": 833159,
"outputSettledAt": 833163,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n2: 1\n3: 2000000\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 3\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 1\n15: 1\n16: 4\n17: 0\n18: 1\n19: 0\n20: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n21: 0\n22: 1000\n23: 1000000\n24: 0\n25: 2\n26: 1\n27: 1\n28: false\n29: false\n30: 0\n31: 1\n32: 1000\n33: 1000000\n34: 2\n35: 0\n36: 0\n37: 0\n38: false\n39: false\n40: 0\n41: 2\n42: 2\n43: 1\n44: false\n45: 3\n46: 2\n47: 0\n48: 0\n49: false\n50: 0\n51: 2\n52: 2\n53: 2\n54: 3\n55: 3\n56: 0\n57: 0\n58: 2\n59: 1\n60: 0\n61: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n62: 0\n63: 1000\n64: 1\n65: 1000\n66: 4\n67: 0\n68: 1\n69: 1\n70: 4\n71: 1\n72: 0\n73: 3\n74: 1\n75: false\n76: false\n77: false\n78: 2\n79: 3\n80: 2\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: false\n89: false\n90: false\n91: 1\n92: 4\n93: 2\n94: 1\n95: 2\n96: 2\n97: false\n98: false\n99: false\n100: 3\n101: 0\n102: 0\n103: 2\n104: 0\n105: 0\n106: 0\n107: 2\n108: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = box1.R4[Coll[Coll[Byte]]].get\n val coll4 = placeholder[Coll[Byte]](1)\n val coll5 = box1.R5[Coll[Long]].get\n val l6 = coll5(placeholder[Int](2))\n val l7 = placeholder[Long](3) + l6\n val func8 = {(i8: Int) =>\n val box10 = OUTPUTS(i8)\n if (blake2b256(box10.propositionBytes) == coll3(placeholder[Int](4))) {(\n val coll11 = box10.tokens\n ((coll11.size == placeholder[Int](5)) && (coll11(placeholder[Int](6))._1 == coll4)) && (box10.value >= l7)\n )} else { placeholder[Boolean](7) }\n }\n val bool9 = func8(placeholder[Int](8))\n val coll10 = coll3(placeholder[Int](9))\n val l11 = SELF.value\n val l12 = coll5(placeholder[Int](10))\n val l13 = SELF.R7[Long].get\n val coll14 = placeholder[SigmaProp](11).propBytes\n val box15 = OUTPUTS(placeholder[Int](12))\n val l16 = box15.tokens(placeholder[Int](13))._2\n val coll17 = SELF.R4[Coll[Byte]].get\n val coll18 = SELF.R5[Coll[Int]].get\n val l19 = SELF.R9[Long].get\n val l20 = SELF.R8[Long].get\n val l21 = box15.value\n val bool22 = l21 == l11\n val bool23 = func8(placeholder[Int](14))\n val i24 = OUTPUTS.size\n val box25 = OUTPUTS(placeholder[Int](15))\n val coll26 = box25.propositionBytes\n val bool27 = box15.R4[Coll[Byte]].get == coll17\n val i28 = coll18(placeholder[Int](16))\n val i29 = coll18(placeholder[Int](17))\n val i30 = coll18(placeholder[Int](18))\n sigmaProp(box1.tokens(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20)) && prop2 && sigmaProp((((if (!bool9) {(\n val box31 = OUTPUTS(placeholder[Int](21))\n val l32 = max(l11 * l12 / placeholder[Long](22), placeholder[Long](23))\n if (blake2b256(box31.propositionBytes) == coll10) {(\n val tuple33 = box31.tokens(placeholder[Int](24))\n ((((tuple33._1 == coll4) && (tuple33._2 == placeholder[Long](25))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](26)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](27)).value >= l11 - l32 - l6)\n )} else { placeholder[Boolean](28) }\n )} else { placeholder[Boolean](29) } || if (bool9 && (l13 == placeholder[Long](30))) {(\n val box31 = OUTPUTS(placeholder[Int](31))\n val l32 = l11 - box15.value\n if (box31.propositionBytes == coll14) { ((((((((box31.value >= max(max(l32, l32) * l12 / placeholder[Long](32), placeholder[Long](33))) && (l16 == placeholder[Long](34))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](35))) && (box15.R8[Long].get == placeholder[Long](36))) && (box15.R9[Long].get == l19)) && (l20 == placeholder[Long](37)) } else { placeholder[Boolean](38) }\n )} else { placeholder[Boolean](39) }) || if (bool9 && (l13 == placeholder[Long](40))) { ((((((l21 == l11) && (l16 == placeholder[Long](41))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l19)) && \n val l31 = box15.R7[Long].get\n (l31 == placeholder[Long](42)) || ((l31 == placeholder[Long](43)) && (box15.R8[Long].get <= l11 - l7))\n } else { placeholder[Boolean](44) }) || if (bool9 && (l13 != placeholder[Long](45))) { ((((((bool22 && (l16 == placeholder[Long](46))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](47))) && (box15.R8[Long].get == placeholder[Long](48))) && (box15.R9[Long].get == l19) } else { placeholder[Boolean](49) }) || if ((bool9 && (!bool23)) && (l13 == placeholder[Long](50))) { if (i24 > placeholder[Int](51)) { if (blake2b256(coll26) == coll10) { ((((((((((bool22 && bool27) && (box15.R5[Coll[Int]].get(placeholder[Int](52)) == coll18(placeholder[Int](53)))) && (box15.R5[Coll[Int]].get(placeholder[Int](54)) == coll18(placeholder[Int](55)))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](56))) && (box15.R8[Long].get == placeholder[Long](57))) && (box15.R9[Long].get == l19)) && (l16 == placeholder[Long](58))) && (box25.tokens.size == placeholder[Int](59))) && (box25.tokens(placeholder[Int](60))._1 == placeholder[Coll[Byte]](61))) && \n val coll31 = box15.R5[Coll[Int]].get\n val i32 = coll31(placeholder[Int](62))\n ((((i32 <= placeholder[Int](63)) && (coll31(placeholder[Int](64)) <= placeholder[Int](65))) && (coll31(placeholder[Int](66)) == i28)) && (box25.tokens(placeholder[Int](67))._2 >= i32 + coll31(placeholder[Int](68)) - i29 + i30.toLong)) || ((((i32 == i29) && (coll31(placeholder[Int](69)) == i30)) && (coll31(placeholder[Int](70)) == i28 + placeholder[Int](71))) && (box25.tokens(placeholder[Int](72))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](73) * i28 + placeholder[Int](74))))\n } else { placeholder[Boolean](75) } } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) }) || sigmaProp(\n (\n if (bool9 && (l13 == placeholder[Long](78))) {\n if (i24 > placeholder[Int](79)) {\n if (coll26 == coll14) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box25.value >= max(l20 * placeholder[Long](80) * l12 / placeholder[Long](81), placeholder[Long](82))) && (\n OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](84)).value >= l20)\n ) && bool22\n ) && (l16 == placeholder[Long](85))\n ) && bool27\n ) && (box15.R5[Coll[Int]].get == coll18)\n ) && (box15.R7[Long].get == placeholder[Long](86))\n ) && (box15.R8[Long].get == placeholder[Long](87))\n ) && (box15.R9[Long].get == l19)\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) } || if ((bool9 && bool23) && (l13 == placeholder[Long](91))) {\n if (i24 >= placeholder[Int](92)) {\n if (blake2b256(OUTPUTS(placeholder[Int](93)).propositionBytes) == coll3(placeholder[Int](94))) {\n blake2b256(INPUTS(placeholder[Int](95)).propositionBytes) == coll3(placeholder[Int](96))\n } else { placeholder[Boolean](97) }\n } else { placeholder[Boolean](98) }\n } else { placeholder[Boolean](99) }\n ) || if ((bool9 && bool23) && (l13 == placeholder[Long](100))) {\n (\n (\n (\n ((bool27 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](101))) && (box15.R8[Long].get == placeholder[Long](102))\n ) && (box15.R9[Long].get == l19)\n ) && (l16 == placeholder[Long](103))\n ) || (\n (\n (\n (((box25.R4[Coll[Byte]].get == coll17) && (box25.R6[SigmaProp].get == prop2)) && (box25.R7[Long].get == placeholder[Long](104))) && (\n box25.R8[Long].get == placeholder[Long](105)\n )\n ) && (box25.R9[Long].get == l19)\n ) && (box25.tokens(placeholder[Int](106))._2 == placeholder[Long](107))\n )\n } else { placeholder[Boolean](108) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "10050202020202",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,1,1,1]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0508",
"sigmaType": "SLong",
"renderedValue": "4"
},
"R4": {
"serializedValue": "0ea80144656c74613a6366323032643a6234346164643a333a343a4d3138372c3136332e35513230322c3230322c3136332e352c3138372e35513132352c3137332c3130382c3136365139312c3135392c35372e352c3134325132342c3132352c35362c3130362e355138382c38382c3130362e352c3437513132352c362c3135302c34302e35513137352c37352c3137332e352c313030513137322c3132352c3138372c3136332e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "44656c74613a6366323032643a6234346164643a333a343a4d3138372c3136332e35513230322c3230322c3136332e352c3138372e35513132352c3137332c3130382c3136365139312c3135392c35372e352c3134325132342c3132352c35362c3130362e355138382c38382c3130362e352c3437513132352c362c3135302c34302e35513137352c37352c3137332e352c313030513137322c3132352c3138372c3136332e355a"
}
}
},
{
"boxId": "ec577ca640f143098cd649693fa945153e3ae071b7992868fd52dde33d721122",
"value": 102900000,
"index": 1,
"spendingProof": "4abea89a80ccb3eb50a886715d9475a05f5dd2ef820727c1cc52d2df9eb9085672ae1d8205dbe6d3570bf677e33d6503d86061aad98640d2",
"outputBlockId": "162f06a6afb4d13230c2103ccc262f4f41e5aed4dfe0c5d9bf655e44e345a9f2",
"outputTransactionId": "e74c47874d34735036409514805f6c12f5c5a9aa7026dc462eefaab3fd6f5611",
"outputIndex": 2,
"outputGlobalIndex": 21201957,
"outputCreatedAt": 832230,
"outputSettledAt": 832233,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "b8bef77d1fb0d69e64a7fdea267db097651b1fb9366a307f8aa8919cd76eb0ca",
"value": 1000000,
"index": 0,
"outputBlockId": "99fb86d62b91583b2d420523a10e90dbaf424ddca80efdf54235a1b0e0cd359e",
"outputTransactionId": "60030db505154d81b2acaa9f4751ddc9419e5593479038be4f017e193506198d",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a04202dfa37a82d35cbbbd43961a659104762deaa9b4a7d8e18da304d267dce8b8a0320cfffd84eb10f09a1cff221d731777fc3c525af060db37ae7f6745342e47b1f5d204e5d946b409e5181149a9f59e65c67f33457597bdd442cd2fc870aa061237215201e0bd8ad69f1b1160303b527205007a7107fec6029435d1ab14305d1bfa72e06",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[2dfa37a82d35cbbbd43961a659104762deaa9b4a7d8e18da304d267dce8b8a03,cfffd84eb10f09a1cff221d731777fc3c525af060db37ae7f6745342e47b1f5d,4e5d946b409e5181149a9f59e65c67f33457597bdd442cd2fc870aa061237215,1e0bd8ad69f1b1160303b527205007a7107fec6029435d1ab14305d1bfa72e06]"
},
"R5": {
"serializedValue": "11060ac0a386010206c83380897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,1100000,1,3,3300,1000000]"
},
"R6": {
"serializedValue": "110c000032323290036464e807c801c801d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,25,25,25,200,50,50,500,100,100,1000]"
}
}
}
],
"outputs": [
{
"boxId": "e43129291c963191ba74c45508a8f4ac291e5ae81efacb9f686838b59d07865d",
"transactionId": "76af4ad45efe858a0076eecde5e2bf9d8637b4c7cbd941da480c3c80a44ed715",
"blockId": "70dc99d636ef4c8793089d1c3c87ea672961a64849e43e2aa72d1613a268390b",
"value": 203700000,
"index": 0,
"globalIndex": 21271114,
"creationHeight": 833163,
"settlementHeight": 833166,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n2: 1\n3: 2000000\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 3\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 1\n15: 1\n16: 4\n17: 0\n18: 1\n19: 0\n20: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n21: 0\n22: 1000\n23: 1000000\n24: 0\n25: 2\n26: 1\n27: 1\n28: false\n29: false\n30: 0\n31: 1\n32: 1000\n33: 1000000\n34: 2\n35: 0\n36: 0\n37: 0\n38: false\n39: false\n40: 0\n41: 2\n42: 2\n43: 1\n44: false\n45: 3\n46: 2\n47: 0\n48: 0\n49: false\n50: 0\n51: 2\n52: 2\n53: 2\n54: 3\n55: 3\n56: 0\n57: 0\n58: 2\n59: 1\n60: 0\n61: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n62: 0\n63: 1000\n64: 1\n65: 1000\n66: 4\n67: 0\n68: 1\n69: 1\n70: 4\n71: 1\n72: 0\n73: 3\n74: 1\n75: false\n76: false\n77: false\n78: 2\n79: 3\n80: 2\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: false\n89: false\n90: false\n91: 1\n92: 4\n93: 2\n94: 1\n95: 2\n96: 2\n97: false\n98: false\n99: false\n100: 3\n101: 0\n102: 0\n103: 2\n104: 0\n105: 0\n106: 0\n107: 2\n108: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = box1.R4[Coll[Coll[Byte]]].get\n val coll4 = placeholder[Coll[Byte]](1)\n val coll5 = box1.R5[Coll[Long]].get\n val l6 = coll5(placeholder[Int](2))\n val l7 = placeholder[Long](3) + l6\n val func8 = {(i8: Int) =>\n val box10 = OUTPUTS(i8)\n if (blake2b256(box10.propositionBytes) == coll3(placeholder[Int](4))) {(\n val coll11 = box10.tokens\n ((coll11.size == placeholder[Int](5)) && (coll11(placeholder[Int](6))._1 == coll4)) && (box10.value >= l7)\n )} else { placeholder[Boolean](7) }\n }\n val bool9 = func8(placeholder[Int](8))\n val coll10 = coll3(placeholder[Int](9))\n val l11 = SELF.value\n val l12 = coll5(placeholder[Int](10))\n val l13 = SELF.R7[Long].get\n val coll14 = placeholder[SigmaProp](11).propBytes\n val box15 = OUTPUTS(placeholder[Int](12))\n val l16 = box15.tokens(placeholder[Int](13))._2\n val coll17 = SELF.R4[Coll[Byte]].get\n val coll18 = SELF.R5[Coll[Int]].get\n val l19 = SELF.R9[Long].get\n val l20 = SELF.R8[Long].get\n val l21 = box15.value\n val bool22 = l21 == l11\n val bool23 = func8(placeholder[Int](14))\n val i24 = OUTPUTS.size\n val box25 = OUTPUTS(placeholder[Int](15))\n val coll26 = box25.propositionBytes\n val bool27 = box15.R4[Coll[Byte]].get == coll17\n val i28 = coll18(placeholder[Int](16))\n val i29 = coll18(placeholder[Int](17))\n val i30 = coll18(placeholder[Int](18))\n sigmaProp(box1.tokens(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20)) && prop2 && sigmaProp((((if (!bool9) {(\n val box31 = OUTPUTS(placeholder[Int](21))\n val l32 = max(l11 * l12 / placeholder[Long](22), placeholder[Long](23))\n if (blake2b256(box31.propositionBytes) == coll10) {(\n val tuple33 = box31.tokens(placeholder[Int](24))\n ((((tuple33._1 == coll4) && (tuple33._2 == placeholder[Long](25))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](26)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](27)).value >= l11 - l32 - l6)\n )} else { placeholder[Boolean](28) }\n )} else { placeholder[Boolean](29) } || if (bool9 && (l13 == placeholder[Long](30))) {(\n val box31 = OUTPUTS(placeholder[Int](31))\n val l32 = l11 - box15.value\n if (box31.propositionBytes == coll14) { ((((((((box31.value >= max(max(l32, l32) * l12 / placeholder[Long](32), placeholder[Long](33))) && (l16 == placeholder[Long](34))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](35))) && (box15.R8[Long].get == placeholder[Long](36))) && (box15.R9[Long].get == l19)) && (l20 == placeholder[Long](37)) } else { placeholder[Boolean](38) }\n )} else { placeholder[Boolean](39) }) || if (bool9 && (l13 == placeholder[Long](40))) { ((((((l21 == l11) && (l16 == placeholder[Long](41))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l19)) && \n val l31 = box15.R7[Long].get\n (l31 == placeholder[Long](42)) || ((l31 == placeholder[Long](43)) && (box15.R8[Long].get <= l11 - l7))\n } else { placeholder[Boolean](44) }) || if (bool9 && (l13 != placeholder[Long](45))) { ((((((bool22 && (l16 == placeholder[Long](46))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](47))) && (box15.R8[Long].get == placeholder[Long](48))) && (box15.R9[Long].get == l19) } else { placeholder[Boolean](49) }) || if ((bool9 && (!bool23)) && (l13 == placeholder[Long](50))) { if (i24 > placeholder[Int](51)) { if (blake2b256(coll26) == coll10) { ((((((((((bool22 && bool27) && (box15.R5[Coll[Int]].get(placeholder[Int](52)) == coll18(placeholder[Int](53)))) && (box15.R5[Coll[Int]].get(placeholder[Int](54)) == coll18(placeholder[Int](55)))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](56))) && (box15.R8[Long].get == placeholder[Long](57))) && (box15.R9[Long].get == l19)) && (l16 == placeholder[Long](58))) && (box25.tokens.size == placeholder[Int](59))) && (box25.tokens(placeholder[Int](60))._1 == placeholder[Coll[Byte]](61))) && \n val coll31 = box15.R5[Coll[Int]].get\n val i32 = coll31(placeholder[Int](62))\n ((((i32 <= placeholder[Int](63)) && (coll31(placeholder[Int](64)) <= placeholder[Int](65))) && (coll31(placeholder[Int](66)) == i28)) && (box25.tokens(placeholder[Int](67))._2 >= i32 + coll31(placeholder[Int](68)) - i29 + i30.toLong)) || ((((i32 == i29) && (coll31(placeholder[Int](69)) == i30)) && (coll31(placeholder[Int](70)) == i28 + placeholder[Int](71))) && (box25.tokens(placeholder[Int](72))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](73) * i28 + placeholder[Int](74))))\n } else { placeholder[Boolean](75) } } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) }) || sigmaProp(\n (\n if (bool9 && (l13 == placeholder[Long](78))) {\n if (i24 > placeholder[Int](79)) {\n if (coll26 == coll14) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box25.value >= max(l20 * placeholder[Long](80) * l12 / placeholder[Long](81), placeholder[Long](82))) && (\n OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](84)).value >= l20)\n ) && bool22\n ) && (l16 == placeholder[Long](85))\n ) && bool27\n ) && (box15.R5[Coll[Int]].get == coll18)\n ) && (box15.R7[Long].get == placeholder[Long](86))\n ) && (box15.R8[Long].get == placeholder[Long](87))\n ) && (box15.R9[Long].get == l19)\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) } || if ((bool9 && bool23) && (l13 == placeholder[Long](91))) {\n if (i24 >= placeholder[Int](92)) {\n if (blake2b256(OUTPUTS(placeholder[Int](93)).propositionBytes) == coll3(placeholder[Int](94))) {\n blake2b256(INPUTS(placeholder[Int](95)).propositionBytes) == coll3(placeholder[Int](96))\n } else { placeholder[Boolean](97) }\n } else { placeholder[Boolean](98) }\n } else { placeholder[Boolean](99) }\n ) || if ((bool9 && bool23) && (l13 == placeholder[Long](100))) {\n (\n (\n (\n ((bool27 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](101))) && (box15.R8[Long].get == placeholder[Long](102))\n ) && (box15.R9[Long].get == l19)\n ) && (l16 == placeholder[Long](103))\n ) || (\n (\n (\n (((box25.R4[Coll[Byte]].get == coll17) && (box25.R6[SigmaProp].get == prop2)) && (box25.R7[Long].get == placeholder[Long](104))) && (\n box25.R8[Long].get == placeholder[Long](105)\n )\n ) && (box25.R9[Long].get == l19)\n ) && (box25.tokens(placeholder[Int](106))._2 == placeholder[Long](107))\n )\n } else { placeholder[Boolean](108) }\n )\n}",
"address": "uwcaw7YxXQiemkFM53JewzAxDrSfGSyz5ByMZYAuk4Zts67SnoUqu1TKmZBeLC2cPNdEiRuM9JbsYp7fNji4NKeT9uyV3d4Cy55UgWk7yxDNufST5c6FEAFVzmMcMh1WpfBjcYVw3WG3o33xYpvdXiV6zR8TugfGNyaVXhRmBTFcPaVx5miGsLbNTc6GhUuJJhdmMNvqRjuaz3ULLottVDToWSZcZDWCFr4AFqnjiQeeUudHKih2VFNFAC8TzwDDPSwVBcgYi461RvJvCMehSMxz3bcJ883Eq3cBxNZebfEbCuvzmUevarKuhvRaC9Q2uNbyCnqMbee4pGTJ85AGuzhcj3nejuRtoEkMDFohvyddUhZaifeA3hCmXSk5mxNBUBFDjFLva67WMQ9rXV3TY2ic2rNF5YSTByWaspXzDiYmdxVvZxQRHHhJgCgbsWMSaX9NtP5mEap1e723ZgqMs7Wz1mjLrp8t19ZS7Hx92HE7F16b5LNQyYJrFvyboJb654MuGYLeFK2bVe1K9SEcBMc7KNETxPRT1ceUdBrvZp6XnxbWHeoGsyb3CyvDnCP3jgDXizBtGN14yLDGi7aYp4zPYr2XL7k9aantKEjE3Nq8oubmCnqWsXt5ahQ7VwcxVUD71tamwEWqTQXGYWnyGXmqm6LjcKMX6L5etpPGbCtC2eQTWdwHMneyeWAwxpUdMueHZ59NeZpo3TRdSxDPFQ3E1JPdeN3bMMFg3AXhueY9x3U968pEncQYqyFKkJ1L39TMDWavaCDrgrg4SjctkTr3upEo3DMcAELHnKuZLicTb4CgCu8wjX9s2SegTrNETjm1cxbxEeFSTpYs6PZAxMx9iqdSN9juQHQSQR77xgCnVwdarsf55RuSwr1iUzgRHhP9efGPrqN8L6VXXNwDDA6ubVhseXCyqKgruwkwPfHTysh1ZcQ6bfRga7qC4hyYt1bG2xF4ZfZ2uMvYeEGzi2Wm8xJwgDgXjYRQUyhjw2zyUszVRf7um87mDCMu4rMoY392KMuTTr4NhbafdY6wP59B7Qy8BkSFwe486wvgAXAbSz3TJryitdfw1u53FXyzen6vNPwycs97Ft2T9uJDHN56iAtA2nxDKtTWLFwyhBWm868MhgW3FrUNCArs9S1NpTVQkwkdqzJHaKbwnXGyrTXCtMUJm83pHR8AzCBv5W7GiJ948s1yK25Vh6qY5iZw1WyswvZH8Ksz4aYkcK32yHpk2ucSxBXBj3jCBaF3fhcUqXt1eR9Ya1nCMJK5wUKM534P8RC8aQiyxvhEuiebQrzKtES4FGshjY6KDYz1ChW8jHYi6ydwLAsHKFaegXgADunk9r5pdaKDvTYKC9ZxK6KnsCWYoxwKb92GSBsEqU6jUSVWgoL2JzT9ui23eWUoPFEiGTkJ2moNFW8QQa8cXVJA6twGrgi9f1aqbgGBG6YYqSonx9GDuJncpDRUUonmye9HgMmPowYqWPZaCL2k11yx8PotdxAqfybAGoUNYqj6YfSXU9g9DbXHoR8F8kNEmgrjFBEXb9sJfnWuK6ra9MeRyAexM2Y4Vn2M8f1FzHa76SDEUaVn9Baj7GcVZTLPn3k2eaCX8LR7GWYiwWBCfeKSjpbgAfGut3xYRHbtNWyH3VGSsoNsUmhz2cNPDtrJSry2LusJWiSasv3s6pERuqj1TrmK3HpD5sdyZpTy5FjFfF5WVstiLogfWFpEKSEXxfSgZc5499LoDg23nZxn7vvnN7WBSAmFLBTXWRthpLX5WHJBExJnPZnLM83u7gHzjwwvCCMwn8dzmUq8Khf9Ju6szWBPeVApXGcrp2FKNPVGqiNQrnNf2vevSsMq2KoK9dRdv8Q6oEdUz299ge1juVmL6Up9rr4M2Rkue4LpzMiozUjzQnHia6WT2KGT96iWWgu2WuPUhAJ9yDv8xCHtCvCwgdzW4sJhuvLq1t9ibJPtwHnz8xtfYfw9v1NrLzkrvwKG94tNdK6avX55JAtBHC52sNEZE8HTbupEjRCkMTio6JJgQwSpUXXFEab44agyDB2houmU7UUyJVs5m75Zo5cDfoiXj6vF1bbnGWzfdkwPWstniGEP49HzLQns1tAg93L7dhf3UBr9ozvgYjTGVN9LftdJhvJXNXzcKUV2VYo7qBnqngKvKWYrCCgehreepzp7G8AaX8ZQY6VoEhrN6xBpsgenyGtMxqy8SqrjZSe2Sh2zQ9KutAKZKd1m6FT1A8q3coihHHdzidn",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "10050202020202",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,1,1,1]"
},
"R6": {
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"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
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},
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},
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}
},
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},
{
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"transactionId": "76af4ad45efe858a0076eecde5e2bf9d8637b4c7cbd941da480c3c80a44ed715",
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"creationHeight": 833163,
"settlementHeight": 833166,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [],
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},
{
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"transactionId": "76af4ad45efe858a0076eecde5e2bf9d8637b4c7cbd941da480c3c80a44ed715",
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"index": 2,
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"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",
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"spentTransactionId": "d494515cbaa2a71f2c36375fdeaad43c1984a05081c62f015177cc25821fc69b",
"mainChain": true
}
],
"size": 2286,
"isUnconfirmed": false
}