Transaction
ID: 4b96943a5e...ccb7
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.3188 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.32 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:
0.0011 ERG
Transaction Details
Confirmations: 879,639
Total coins transferred: 1.32 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000412 ERG
Raw Transaction Data
{
"id": "4b96943a5edf77a5a3dfd32ec93b6fc3e1f3502bd0263f4cc292398e5ae3ccb7",
"blockId": "eddafa1c6f945daf0674a14cc159dd94020ffef81741ca77fdd1e3ea5cada751",
"inclusionHeight": 876925,
"timestamp": 1668712111948,
"index": 14,
"globalIndex": 4337406,
"numConfirmations": 879639,
"inputs": [
{
"boxId": "09287ceb7c2261b1eb497add521d8cda0ebd606c26c1cc897b8659b3c555f733",
"value": 318800000,
"index": 0,
"spendingProof": null,
"outputBlockId": "bb5c57747d9037e88ca15d8c9879e561d3f2405938ae474befeb88d04040c617",
"outputTransactionId": "b4d4bae3db16874bc51c09e4327feb3875f1d38b114be19f3ef756645bbddd50",
"outputIndex": 0,
"outputGlobalIndex": 23711667,
"outputCreatedAt": 876920,
"outputSettledAt": 876922,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: 0\n55: false\n56: 0\n57: 2\n58: 2\n59: 2\n60: 3\n61: 3\n62: 0\n63: 1\n64: 0\n65: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n66: 0\n67: 1000\n68: 1\n69: 1000\n70: 4\n71: 5\n72: 6\n73: 0\n74: 1\n75: 1\n76: 4\n77: 1\n78: 5\n79: 6\n80: 0\n81: 3\n82: 1\n83: 1\n84: 4\n85: 5\n86: 0\n87: 6\n88: 0\n89: 0\n90: 0\n91: 6\n92: 1\n93: 0\n94: 1\n95: false\n96: false\n97: false\n98: 2\n99: 3\n100: 2\n101: 1000\n102: 1000000\n103: 2\n104: 2\n105: 2\n106: 0\n107: false\n108: false\n109: false\n110: 1\n111: 4\n112: 2\n113: 1\n114: 2\n115: 2\n116: false\n117: false\n118: false\n119: 3\n120: 0\n121: 0\n122: 0\n123: 2\n124: false\n125: 4\n126: 5\n127: 2\n128: 1\n129: 5\n130: 1\n131: 4\n132: 5\n133: 1\n134: 5\n135: 0\n136: 2\n137: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n val l39 = coll15(placeholder[Int](24))._2\n val bool40 = box3.R9[Long].get == l20\n sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n if (coll4 == coll12) {(\n val tuple42 = coll15(placeholder[Int](29))\n ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n )} else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n val l41 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l41 = box3.R7[Long].get\n if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n val tuple42 = coll15(placeholder[Int](42))\n (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { ((((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53))) && (box3.R8[Long].get == placeholder[Long](54)) } else { placeholder[Boolean](55) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](56))) { if (i30 > placeholder[Int](57)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (box3.R5[Coll[Int]].get(placeholder[Int](60)) == coll23(placeholder[Int](61)))) && (l27 == placeholder[Long](62))) && (coll31.size == placeholder[Int](63))) && (coll31(placeholder[Int](64))._1 == placeholder[Coll[Byte]](65))) && \n val coll41 = box3.R5[Coll[Int]].get\n val i42 = coll41(placeholder[Int](66))\n (((((((i42 <= placeholder[Int](67)) && (coll41(placeholder[Int](68)) <= placeholder[Int](69))) && (coll41(placeholder[Int](70)) == i32)) && (coll41(placeholder[Int](71)) == i33)) && (coll41(placeholder[Int](72)) == i34)) && (coll31(placeholder[Int](73))._2 >= i42 + coll41(placeholder[Int](74)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](75)) == i36)) && (coll41(placeholder[Int](76)) == i32 + placeholder[Int](77))) && (coll41(placeholder[Int](78)) == i33)) && (coll41(placeholder[Int](79)) == i34)) && (coll31(placeholder[Int](80))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](81) * i32 + placeholder[Int](82))))) || ((((i42 == i35) && (coll41(placeholder[Int](83)) == i36)) && (coll41(placeholder[Int](84)) == i32)) && \n val i43 = coll41(placeholder[Int](85))\n ((((i43 > placeholder[Int](86)) && (i43 != i33)) && (coll41(placeholder[Int](87)) == placeholder[Int](88))) && (coll31(placeholder[Int](89))._2 >= coll37(placeholder[Int](90)))) || (((i43 == i33) && (coll41(placeholder[Int](91)) == i34 + placeholder[Int](92))) && (coll31(placeholder[Int](93))._2 >= coll37(i34 + placeholder[Int](94))))\n )\n } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) } } else { placeholder[Boolean](97) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](98))) {\n if (i30 > placeholder[Int](99)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](100) * l14 / placeholder[Long](101), placeholder[Long](102))) && (\n OUTPUTS(placeholder[Int](103)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](104)).value >= l38)\n ) && bool26\n ) && (l39 == placeholder[Long](105))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](106))\n ) && bool40\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) }\n } else { placeholder[Boolean](109) } || if ((bool11 && bool29) && (l18 == placeholder[Long](110))) {\n if (i30 >= placeholder[Int](111)) {\n if (blake2b256(OUTPUTS(placeholder[Int](112)).propositionBytes) == coll5(placeholder[Int](113))) {\n blake2b256(INPUTS(placeholder[Int](114)).propositionBytes) == coll5(placeholder[Int](115))\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n } else { placeholder[Boolean](118) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](119))) {\n (bool22 && (l27 == placeholder[Long](120))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](121))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](122))._2 == placeholder[Long](123))\n )\n } else { placeholder[Boolean](124) }\n ) || if ((bool11 && ((l18 == placeholder[Long](125)) || (l18 == placeholder[Long](126)))) && (INPUTS.size == placeholder[Int](127))) {\n (\n (\n (\n (((blake2b256(INPUTS(placeholder[Int](128)).propositionBytes) == coll5(placeholder[Int](129))) && bool40) && (l39 >= placeholder[Long](130))) && (\n box3.R4[Coll[Byte]].get == coll21\n )\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (box3.R6[SigmaProp].get == prop2)\n ) && (\n (((l18 == placeholder[Long](131)) && (l27 == placeholder[Long](132))) && (l39 == placeholder[Long](133))) || (\n ((l18 == placeholder[Long](134)) && (l27 == placeholder[Long](135))) && (l39 == placeholder[Long](136))\n )\n )\n } else { placeholder[Boolean](137) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "b10b0001e2a3d38d91b082f153e009e6f5ecf1b326474d11c4bac0c9a55daafb",
"index": 0,
"amount": 1,
"name": "Blob",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702021c0c020400",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,14,6,1,2,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R9": {
"serializedValue": "0508",
"sigmaType": "SLong",
"renderedValue": "4"
},
"R4": {
"serializedValue": "0e7652656420697320646561643a6364303435623a6432356434333a323a323a4d3138332c313636513135322c3230372c39352c3139372e355133382c3138382c33392c3132352e355134302c36332c39382c34352e35513135362c32382c3138352c37362e35513231342c3132352c3138332c3136365a",
"sigmaType": "Coll[SByte]",
"renderedValue": "52656420697320646561643a6364303435623a6432356434333a323a323a4d3138332c313636513135322c3230372c39352c3139372e355133382c3138382c33392c3132352e355134302c36332c39382c34352e35513135362c32382c3138352c37362e35513231342c3132352c3138332c3136365a"
}
}
},
{
"boxId": "daa2455b243af026ec412820400eaef106e0f2a556100358e1cd878b8c3ef673",
"value": 1000000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "bb5c57747d9037e88ca15d8c9879e561d3f2405938ae474befeb88d04040c617",
"outputTransactionId": "b4d4bae3db16874bc51c09e4327feb3875f1d38b114be19f3ef756645bbddd50",
"outputIndex": 1,
"outputGlobalIndex": 23711668,
"outputCreatedAt": 876920,
"outputSettledAt": 876922,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: Coll(-79,11,0,2,-3,-120,11,-113,63,-117,94,91,36,80,-56,-18,-67,-92,-56,80,82,-59,74,111,-14,-69,-71,-111,-117,-21,-85,36)\n5: 3\n6: 0\n7: 0\n8: 4\n9: CBigInt(-1)\n10: 9\n11: CBigInt(0)\n12: 1\n13: 0\n14: 1\n15: 0\n16: 2\n17: 3\n18: 1\n19: 1\n20: 2\n21: 0\n22: 0\n23: 1\n24: 1\n25: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n26: 1\n27: 1\n28: 0\n29: 2\n30: 2\n31: 1000000\n32: 2\n33: 0\n34: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n35: 2\n36: 0\n37: 8\n38: 2\n39: 1\n40: false\n41: 0\n42: 2\n43: 3\n44: 1000000\n45: 1000000\n46: 1\n47: 0\n48: 0\n49: 1\n50: false\n51: 0\n52: 2\n53: 3\n54: 1\n55: 0\n56: 0\n57: 1\n58: 0\n59: 1\n60: false",
"ergoTreeScript": "{\n val l1 = SELF.R9[Long].get\n val box2 = INPUTS(placeholder[Int](0))\n val box3 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll4 = box3.R4[Coll[Coll[Byte]]].get\n val coll5 = coll4(placeholder[Int](2))\n val bool6 = (blake2b256(box2.propositionBytes) == coll5) && (blake2b256(OUTPUTS(placeholder[Int](3)).propositionBytes) == coll5)\n val coll7 = placeholder[Coll[Byte]](4)\n val coll8 = coll4(placeholder[Int](5))\n val coll9 = box3.R5[Coll[Long]].get\n val bi10 = byteArrayToBigInt(CONTEXT.headers(placeholder[Int](6)).id.slice(placeholder[Int](7), placeholder[Int](8)))\n val bool11 = max(bi10, placeholder[BigInt](9) * bi10) + l1.toBigInt % coll9(placeholder[Int](10)).toBigInt == placeholder[BigInt](11)\n val box12 = OUTPUTS(placeholder[Int](12))\n val box13 = OUTPUTS(placeholder[Int](13))\n val bool14 = SELF.creationInfo._1 == box13.creationInfo._1\n val l15 = coll9(placeholder[Int](14))\n val coll16 = box12.tokens\n val i17 = coll16.size\n sigmaProp(\n (\n if (((((l1 == placeholder[Long](15)) && (INPUTS.size == placeholder[Int](16))) && (OUTPUTS.size > placeholder[Int](17))) && bool6) && (\n OUTPUTS(placeholder[Int](18)).propositionBytes == SELF.propositionBytes\n )) {(\n val box18 = OUTPUTS(placeholder[Int](19))\n val coll19 = box18.tokens\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((coll19.size == placeholder[Int](20)) && (box18.value == SELF.value)) && (coll19(placeholder[Int](21))._1 == coll7)) && (\n coll19(placeholder[Int](22))._2 == placeholder[Long](23)\n )\n ) && (coll19(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25))\n ) && (coll19(placeholder[Int](26))._2 == placeholder[Long](27))\n ) && (box18.R8[Long].get == SELF.R8[Long].get)\n ) && (box18.R9[Long].get == OUTPUTS(placeholder[Int](28)).R9[Long].get)\n ) && (blake2b256(OUTPUTS(placeholder[Int](29)).propositionBytes) == coll8)\n ) && (OUTPUTS(placeholder[Int](30)).value == placeholder[Long](31))\n ) && (OUTPUTS(placeholder[Int](32)).tokens(placeholder[Int](33))._1 == placeholder[Coll[Byte]](34))\n ) && (OUTPUTS(placeholder[Int](35)).tokens(placeholder[Int](36))._2 == coll9(placeholder[Int](37)))\n ) && (OUTPUTS(placeholder[Int](38)).tokens.size == placeholder[Int](39))\n )} else { placeholder[Boolean](40) } || if ((\n ((((bool11 && (l1 > placeholder[Long](41))) && (INPUTS.size == placeholder[Int](42))) && (OUTPUTS.size == placeholder[Int](43))) && bool6) && (\n blake2b256(box12.propositionBytes) == coll8\n )\n ) && (!bool14)) {\n (\n (\n (\n ((box13.value >= box2.value - l15 + SELF.value - placeholder[Long](44)) && (box13.R9[Long].get == l1)) && (box12.value == placeholder[Long](45))\n ) && (i17 == placeholder[Int](46))\n ) && (coll16(placeholder[Int](47))._1 == coll7)\n ) && (coll16(placeholder[Int](48))._2 == placeholder[Long](49))\n } else { placeholder[Boolean](50) }\n ) || if ((\n (((((!bool11) && (l1 > placeholder[Long](51))) && (INPUTS.size == placeholder[Int](52))) && (OUTPUTS.size == placeholder[Int](53))) && bool6) && (\n box12.propositionBytes == SELF.propositionBytes\n )\n ) && (!bool14)) {\n (\n (\n (\n ((((box13.value >= box2.value - l15) && (box13.R9[Long].get == l1)) && (box12.value == SELF.value)) && (i17 == placeholder[Int](54))) && (\n coll16(placeholder[Int](55))._1 == coll7\n )\n ) && (coll16(placeholder[Int](56))._2 == placeholder[Long](57))\n ) && (box12.R9[Long].get == placeholder[Long](58))\n ) && (box12.R8[Long].get == SELF.R8[Long].get + placeholder[Long](59))\n } else { placeholder[Boolean](60) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "b10b0002fd880b8f3f8b5e5b2450c8eebda4c85052c54a6ff2bbb9918bebab24",
"index": 0,
"amount": 1,
"name": "Blobinator",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b0001e2a3d38d91b082f153e009e6f5ecf1b326474d11c4bac0c9a55daafb",
"index": 1,
"amount": 1,
"name": "Blob",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100100",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0]"
},
"R6": {
"serializedValue": "08cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e",
"sigmaType": "SSigmaProp",
"renderedValue": "0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e"
},
"R8": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0508",
"sigmaType": "SLong",
"renderedValue": "4"
},
"R4": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
}
],
"dataInputs": [
{
"boxId": "154782bafa20e2044ed5af9b3d3e55e7611b2669b4620a228f724e43cfba27ab",
"value": 1000000,
"index": 0,
"outputBlockId": "e3b9d2b25884e968b573b7dce1a84bc9c72ac72a5beba3fdf3ebf21c5f8e54b4",
"outputTransactionId": "7087a8fc53afaf006bf59c52b9aa313aff400353fd045ee915a80b0924031570",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020404eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHcXaiuZGf9XTnSSazKFXS",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110a0ac0a386010206c8338084af5f3c80a8d6b907040c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,1100000,1,3,3300,100000000,30,1000000000,2,6]"
},
"R6": {
"serializedValue": "110c0000322832c8016464a006c801c801d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,25,20,25,100,50,50,400,100,100,1000]"
},
"R8": {
"serializedValue": "101a3200b40132b80364e807c8019811f403c8011eea0332cc08649213fa01e601009c0400b009008c1500",
"sigmaType": "Coll[SInt]",
"renderedValue": "[25,0,90,25,220,50,500,100,1100,250,100,15,245,25,550,50,1225,125,115,0,270,0,600,0,1350,0]"
},
"R7": {
"serializedValue": "1104142864c801",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,20,50,100]"
},
"R4": {
"serializedValue": "1a07204c24b641de5fe3e470a968df0edac197bafa3a0159c524e0962c47b1e59c7b222074cebc57be0ed14a04915294fbba83cbd73c0b095914242cfb82601b9299b1a8202f75de9a7ee9e03c6552a815a6307b06c9a7d21ca549ba7dd21a145171297d4720e6510ffeb72fe8796b3f95218b0ba472c281a5180d8d67a6831596e8c27b60d3200b769f8bea56882c2939b3d49b1d3b9260a9430e0bab124590ade0685cfaade020340414ca5ebab4e5c281ea32cb99d4117aa2a2784f94623a768b0791a1c2ed9020607fc1648a09704a246e9f2529654e696112addb5757b30f1d71083bf04af858",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[4c24b641de5fe3e470a968df0edac197bafa3a0159c524e0962c47b1e59c7b22,74cebc57be0ed14a04915294fbba83cbd73c0b095914242cfb82601b9299b1a8,2f75de9a7ee9e03c6552a815a6307b06c9a7d21ca549ba7dd21a145171297d47,e6510ffeb72fe8796b3f95218b0ba472c281a5180d8d67a6831596e8c27b60d3,0b769f8bea56882c2939b3d49b1d3b9260a9430e0bab124590ade0685cfaade0,340414ca5ebab4e5c281ea32cb99d4117aa2a2784f94623a768b0791a1c2ed90,607fc1648a09704a246e9f2529654e696112addb5757b30f1d71083bf04af858]"
}
}
}
],
"outputs": [
{
"boxId": "2ac265896f1877e84657c577ba9df6f04f2f9a913ec981c80d5064fb6eb45bab",
"transactionId": "4b96943a5edf77a5a3dfd32ec93b6fc3e1f3502bd0263f4cc292398e5ae3ccb7",
"blockId": "eddafa1c6f945daf0674a14cc159dd94020ffef81741ca77fdd1e3ea5cada751",
"value": 1316700000,
"index": 0,
"globalIndex": 23711753,
"creationHeight": 876922,
"settlementHeight": 876925,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: 0\n55: false\n56: 0\n57: 2\n58: 2\n59: 2\n60: 3\n61: 3\n62: 0\n63: 1\n64: 0\n65: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n66: 0\n67: 1000\n68: 1\n69: 1000\n70: 4\n71: 5\n72: 6\n73: 0\n74: 1\n75: 1\n76: 4\n77: 1\n78: 5\n79: 6\n80: 0\n81: 3\n82: 1\n83: 1\n84: 4\n85: 5\n86: 0\n87: 6\n88: 0\n89: 0\n90: 0\n91: 6\n92: 1\n93: 0\n94: 1\n95: false\n96: false\n97: false\n98: 2\n99: 3\n100: 2\n101: 1000\n102: 1000000\n103: 2\n104: 2\n105: 2\n106: 0\n107: false\n108: false\n109: false\n110: 1\n111: 4\n112: 2\n113: 1\n114: 2\n115: 2\n116: false\n117: false\n118: false\n119: 3\n120: 0\n121: 0\n122: 0\n123: 2\n124: false\n125: 4\n126: 5\n127: 2\n128: 1\n129: 5\n130: 1\n131: 4\n132: 5\n133: 1\n134: 5\n135: 0\n136: 2\n137: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n val l39 = coll15(placeholder[Int](24))._2\n val bool40 = box3.R9[Long].get == l20\n sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n if (coll4 == coll12) {(\n val tuple42 = coll15(placeholder[Int](29))\n ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n )} else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n val l41 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l41 = box3.R7[Long].get\n if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n val tuple42 = coll15(placeholder[Int](42))\n (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { ((((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53))) && (box3.R8[Long].get == placeholder[Long](54)) } else { placeholder[Boolean](55) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](56))) { if (i30 > placeholder[Int](57)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (box3.R5[Coll[Int]].get(placeholder[Int](60)) == coll23(placeholder[Int](61)))) && (l27 == placeholder[Long](62))) && (coll31.size == placeholder[Int](63))) && (coll31(placeholder[Int](64))._1 == placeholder[Coll[Byte]](65))) && \n val coll41 = box3.R5[Coll[Int]].get\n val i42 = coll41(placeholder[Int](66))\n (((((((i42 <= placeholder[Int](67)) && (coll41(placeholder[Int](68)) <= placeholder[Int](69))) && (coll41(placeholder[Int](70)) == i32)) && (coll41(placeholder[Int](71)) == i33)) && (coll41(placeholder[Int](72)) == i34)) && (coll31(placeholder[Int](73))._2 >= i42 + coll41(placeholder[Int](74)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](75)) == i36)) && (coll41(placeholder[Int](76)) == i32 + placeholder[Int](77))) && (coll41(placeholder[Int](78)) == i33)) && (coll41(placeholder[Int](79)) == i34)) && (coll31(placeholder[Int](80))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](81) * i32 + placeholder[Int](82))))) || ((((i42 == i35) && (coll41(placeholder[Int](83)) == i36)) && (coll41(placeholder[Int](84)) == i32)) && \n val i43 = coll41(placeholder[Int](85))\n ((((i43 > placeholder[Int](86)) && (i43 != i33)) && (coll41(placeholder[Int](87)) == placeholder[Int](88))) && (coll31(placeholder[Int](89))._2 >= coll37(placeholder[Int](90)))) || (((i43 == i33) && (coll41(placeholder[Int](91)) == i34 + placeholder[Int](92))) && (coll31(placeholder[Int](93))._2 >= coll37(i34 + placeholder[Int](94))))\n )\n } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) } } else { placeholder[Boolean](97) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](98))) {\n if (i30 > placeholder[Int](99)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](100) * l14 / placeholder[Long](101), placeholder[Long](102))) && (\n OUTPUTS(placeholder[Int](103)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](104)).value >= l38)\n ) && bool26\n ) && (l39 == placeholder[Long](105))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](106))\n ) && bool40\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) }\n } else { placeholder[Boolean](109) } || if ((bool11 && bool29) && (l18 == placeholder[Long](110))) {\n if (i30 >= placeholder[Int](111)) {\n if (blake2b256(OUTPUTS(placeholder[Int](112)).propositionBytes) == coll5(placeholder[Int](113))) {\n blake2b256(INPUTS(placeholder[Int](114)).propositionBytes) == coll5(placeholder[Int](115))\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n } else { placeholder[Boolean](118) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](119))) {\n (bool22 && (l27 == placeholder[Long](120))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](121))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](122))._2 == placeholder[Long](123))\n )\n } else { placeholder[Boolean](124) }\n ) || if ((bool11 && ((l18 == placeholder[Long](125)) || (l18 == placeholder[Long](126)))) && (INPUTS.size == placeholder[Int](127))) {\n (\n (\n (\n (((blake2b256(INPUTS(placeholder[Int](128)).propositionBytes) == coll5(placeholder[Int](129))) && bool40) && (l39 >= placeholder[Long](130))) && (\n box3.R4[Coll[Byte]].get == coll21\n )\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (box3.R6[SigmaProp].get == prop2)\n ) && (\n (((l18 == placeholder[Long](131)) && (l27 == placeholder[Long](132))) && (l39 == placeholder[Long](133))) || (\n ((l18 == placeholder[Long](134)) && (l27 == placeholder[Long](135))) && (l39 == placeholder[Long](136))\n )\n )\n } else { placeholder[Boolean](137) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "b10b0001e2a3d38d91b082f153e009e6f5ecf1b326474d11c4bac0c9a55daafb",
"index": 0,
"amount": 2,
"name": "Blob",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702021c0c020400",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,14,6,1,2,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0508",
"sigmaType": "SLong",
"renderedValue": "4"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "52656420697320646561643a6364303435623a6432356434333a323a323a4d3138332c313636513135322c3230372c39352c3139372e355133382c3138382c33392c3132352e355134302c36332c39382c34352e35513135362c32382c3138352c37362e35513231342c3132352c3138332c3136365a"
}
},
"spentTransactionId": "fc5bb70aba94f3f844831721f7d9ea070b5627b4ba2fcdfcf3cadd236ed1ba96",
"mainChain": true
},
{
"boxId": "0c5921cc7afef72b9e0ef18091c9f7e1ce9d34b71e9c56eb890b4cc60ef9dadc",
"transactionId": "4b96943a5edf77a5a3dfd32ec93b6fc3e1f3502bd0263f4cc292398e5ae3ccb7",
"blockId": "eddafa1c6f945daf0674a14cc159dd94020ffef81741ca77fdd1e3ea5cada751",
"value": 1000000,
"index": 1,
"globalIndex": 23711754,
"creationHeight": 876922,
"settlementHeight": 876925,
"ergoTree": "100f040008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e040004040400040004020400010004000e20b10b0000e4d4aeb3808ea19c6a17039095b8be8706f98867885add59d8dc7b8c058084af5f040204020100d803d601b2db6501fe730000d6027301d603b2a5730200ea02d1ed9593b1a57303ed93b1db6308b2a5730400730593b1db6308b2a573060073077308938cb2db6308720173090001730aeb027202d19593c27203d07202ed92c17203730b93c1b2a5730c00b2e4c672010511730d00730e",
"ergoTreeConstants": "0: 0\n1: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n2: 0\n3: 2\n4: 0\n5: 0\n6: 1\n7: 0\n8: false\n9: 0\n10: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n11: 100000000\n12: 1\n13: 1\n14: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = placeholder[SigmaProp](1)\n val box3 = OUTPUTS(placeholder[Int](2))\n sigmaProp(\n if (OUTPUTS.size == placeholder[Int](3)) {\n (OUTPUTS(placeholder[Int](4)).tokens.size == placeholder[Int](5)) && (OUTPUTS(placeholder[Int](6)).tokens.size == placeholder[Int](7))\n } else { placeholder[Boolean](8) } && (box1.tokens(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10))\n ) && prop2 || sigmaProp(\n if (box3.propositionBytes == prop2.propBytes) {\n (box3.value >= placeholder[Long](11)) && (OUTPUTS(placeholder[Int](12)).value == box1.R5[Coll[Long]].get(placeholder[Int](13)))\n } else { placeholder[Boolean](14) }\n )\n}",
"address": "DaL2oRoq8FPfFKpZPsWqiv6qHkyiGUFdNVDVdNUmQMVV29iZTvds1XU8w9RJRChcSwCKhmqkpK8AiArbXDKC5Zzt4nndc5Aj79hvWxtwyPFxxqke1kcMQQ8rtksC9odtXx4uoUL9CmvGJW8mJt1hESajCWC2RGhJSKp75vV1uk3zmrwizLChWkiHrYmG2hryEXGdDkuRW2qLcoJp5tSeLkAmvK1bAtUetmnsCsHkdvZgbYw38sySjbQduYSY1Zp9gdnThroMHfjFLpJemtukbT4McAPm9VdcMSND8ttwt",
"assets": [
{
"tokenId": "b10b0002fd880b8f3f8b5e5b2450c8eebda4c85052c54a6ff2bbb9918bebab24",
"index": 0,
"amount": 1,
"name": "Blobinator",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100100",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0]"
},
"R6": {
"serializedValue": "08cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e",
"sigmaType": "SSigmaProp",
"renderedValue": "0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
},
"spentTransactionId": "de54e1d5ce6841300b8a754622cd740278972b06d2fb2af83bf0e8e6885728ce",
"mainChain": true
},
{
"boxId": "a820a57f8cc608dfaccf8307d8401edba2aa7192744517991e6a47ef94cabd35",
"transactionId": "4b96943a5edf77a5a3dfd32ec93b6fc3e1f3502bd0263f4cc292398e5ae3ccb7",
"blockId": "eddafa1c6f945daf0674a14cc159dd94020ffef81741ca77fdd1e3ea5cada751",
"value": 1100000,
"index": 2,
"globalIndex": 23711755,
"creationHeight": 876922,
"settlementHeight": 876925,
"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": "de215ceb757261d00895cc2014782b3531906dc25cda00a712cbac8d4cd32296",
"mainChain": true
}
],
"size": 2671,
"isUnconfirmed": false
}