Transaction
ID: 61ff9be0a5...27cc
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0079 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.02696 ERG
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0079 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:
0.02586 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 923,763
Total coins transferred: 0.03586 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000039 ERG
Raw Transaction Data
{
"id": "61ff9be0a5af56772cdbdd7bbae8ef63364f846f2cf12044fc4e0cab571927cc",
"blockId": "865e4773c0885ad6de84ad0a6d78d5f6d83f4805a0e52fce13575e53d182d422",
"inclusionHeight": 839074,
"timestamp": 1663227012707,
"index": 12,
"globalIndex": 4018260,
"numConfirmations": 923763,
"inputs": [
{
"boxId": "150989338cc34e8fb854a9360aac9d330ff5da8db75d798a6451ab6fbf14dc92",
"value": 7900000,
"index": 0,
"spendingProof": "80b0451085c41fb4d27ea4004cc766eaabd351f06f02acae98400b0f29637217cdfc6bb003498e120dfc0f9de27d8e0cd764400fec713719",
"outputBlockId": "8eed8b1129c318f3cb5a3cbbdece38558ce17b9ae32ad04da9e82cbf9af69d43",
"outputTransactionId": "f3a763e834f9987f9740c7764fcd6e4505275acad116992118f069aacbf4f2ab",
"outputIndex": 0,
"outputGlobalIndex": 21677325,
"outputCreatedAt": 839052,
"outputSettledAt": 839054,
"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: 5\n18: 6\n19: 0\n20: 1\n21: 0\n22: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n23: 0\n24: 1000\n25: 1000000\n26: 0\n27: 2\n28: 1\n29: 1\n30: false\n31: false\n32: 0\n33: 1\n34: 1000\n35: 1000000\n36: 2\n37: 0\n38: 0\n39: 0\n40: false\n41: false\n42: 0\n43: 2\n44: 2\n45: 1\n46: false\n47: 3\n48: 2\n49: 0\n50: 0\n51: false\n52: 0\n53: 2\n54: 2\n55: 2\n56: 3\n57: 3\n58: 0\n59: 0\n60: 2\n61: 1\n62: 0\n63: 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)\n64: 0\n65: 1000\n66: 1\n67: 1000\n68: 4\n69: 5\n70: 6\n71: 0\n72: 1\n73: 1\n74: 4\n75: 1\n76: 5\n77: 6\n78: 0\n79: 3\n80: 1\n81: 1\n82: 4\n83: 5\n84: 0\n85: 6\n86: 0\n87: 0\n88: 0\n89: 6\n90: 1\n91: 0\n92: 1\n93: false\n94: false\n95: false\n96: 2\n97: 3\n98: 2\n99: 1000\n100: 1000000\n101: 2\n102: 2\n103: 2\n104: 0\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 2\n122: 0\n123: 0\n124: 0\n125: 2\n126: 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 val i31 = coll18(placeholder[Int](19))\n val i32 = coll18(placeholder[Int](20))\n val coll33 = box1.R7[Coll[Long]].get\n sigmaProp(box1.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22)) && prop2 && sigmaProp((((if (!bool9) {(\n val box34 = OUTPUTS(placeholder[Int](23))\n val l35 = max(l11 * l12 / placeholder[Long](24), placeholder[Long](25))\n if (blake2b256(box34.propositionBytes) == coll10) {(\n val tuple36 = box34.tokens(placeholder[Int](26))\n ((((tuple36._1 == coll4) && (tuple36._2 == placeholder[Long](27))) && (box34.value >= l35)) && (OUTPUTS(placeholder[Int](28)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](29)).value >= l11 - l35 - l6)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool9 && (l13 == placeholder[Long](32))) {(\n val box34 = OUTPUTS(placeholder[Int](33))\n val l35 = l11 - box15.value\n if (box34.propositionBytes == coll14) { ((((((((box34.value >= max(max(l35, l35) * l12 / placeholder[Long](34), placeholder[Long](35))) && (l16 == placeholder[Long](36))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](37))) && (box15.R8[Long].get == placeholder[Long](38))) && (box15.R9[Long].get == l19)) && (l20 == placeholder[Long](39)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) }) || if (bool9 && (l13 == placeholder[Long](42))) { ((((((l21 == l11) && (l16 == placeholder[Long](43))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l19)) && \n val l34 = box15.R7[Long].get\n (l34 == placeholder[Long](44)) || ((l34 == placeholder[Long](45)) && (box15.R8[Long].get <= l11 - l7))\n } else { placeholder[Boolean](46) }) || if (bool9 && (l13 != placeholder[Long](47))) { ((((((bool22 && (l16 == placeholder[Long](48))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](49))) && (box15.R8[Long].get == placeholder[Long](50))) && (box15.R9[Long].get == l19) } else { placeholder[Boolean](51) }) || if ((bool9 && (!bool23)) && (l13 == placeholder[Long](52))) { if (i24 > placeholder[Int](53)) { if (blake2b256(coll26) == coll10) { ((((((((((bool22 && bool27) && (box15.R5[Coll[Int]].get(placeholder[Int](54)) == coll18(placeholder[Int](55)))) && (box15.R5[Coll[Int]].get(placeholder[Int](56)) == coll18(placeholder[Int](57)))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](58))) && (box15.R8[Long].get == placeholder[Long](59))) && (box15.R9[Long].get == l19)) && (l16 == placeholder[Long](60))) && (box25.tokens.size == placeholder[Int](61))) && (box25.tokens(placeholder[Int](62))._1 == placeholder[Coll[Byte]](63))) && \n val coll34 = box15.R5[Coll[Int]].get\n val i35 = coll34(placeholder[Int](64))\n (((((((i35 <= placeholder[Int](65)) && (coll34(placeholder[Int](66)) <= placeholder[Int](67))) && (coll34(placeholder[Int](68)) == i28)) && (coll34(placeholder[Int](69)) == i29)) && (coll34(placeholder[Int](70)) == i30)) && (box25.tokens(placeholder[Int](71))._2 >= i35 + coll34(placeholder[Int](72)) - i31 + i32.toLong)) || ((((((i35 == i31) && (coll34(placeholder[Int](73)) == i32)) && (coll34(placeholder[Int](74)) == i28 + placeholder[Int](75))) && (coll34(placeholder[Int](76)) == i29)) && (coll34(placeholder[Int](77)) == i30)) && (box25.tokens(placeholder[Int](78))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](79) * i28 + placeholder[Int](80))))) || ((((i35 == i31) && (coll34(placeholder[Int](81)) == i32)) && (coll34(placeholder[Int](82)) == i28)) && \n val i36 = coll34(placeholder[Int](83))\n ((((i36 > placeholder[Int](84)) && (i36 != i29)) && (coll34(placeholder[Int](85)) == placeholder[Int](86))) && (box25.tokens(placeholder[Int](87))._2 >= coll33(placeholder[Int](88)))) || (((i36 == i29) && (coll34(placeholder[Int](89)) == i30 + placeholder[Int](90))) && (box25.tokens(placeholder[Int](91))._2 >= coll33(i30 + placeholder[Int](92))))\n )\n } else { placeholder[Boolean](93) } } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) }) || sigmaProp(\n (\n if (bool9 && (l13 == placeholder[Long](96))) {\n if (i24 > placeholder[Int](97)) {\n if (coll26 == coll14) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box25.value >= max(l20 * placeholder[Long](98) * l12 / placeholder[Long](99), placeholder[Long](100))) && (\n OUTPUTS(placeholder[Int](101)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](102)).value >= l20)\n ) && bool22\n ) && (l16 == placeholder[Long](103))\n ) && bool27\n ) && (box15.R5[Coll[Int]].get == coll18)\n ) && (box15.R7[Long].get == placeholder[Long](104))\n ) && (box15.R8[Long].get == placeholder[Long](105))\n ) && (box15.R9[Long].get == l19)\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool9 && bool23) && (l13 == placeholder[Long](109))) {\n if (i24 >= placeholder[Int](110)) {\n if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll3(placeholder[Int](112))) {\n blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll3(placeholder[Int](114))\n } else { placeholder[Boolean](115) }\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n ) || if ((bool9 && bool23) && (l13 == placeholder[Long](118))) {\n (\n (\n (\n ((bool27 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](119))) && (box15.R8[Long].get == placeholder[Long](120))\n ) && (box15.R9[Long].get == l19)\n ) && (l16 == placeholder[Long](121))\n ) || (\n (\n (\n (((box25.R4[Coll[Byte]].get == coll17) && (box25.R6[SigmaProp].get == prop2)) && (box25.R7[Long].get == placeholder[Long](122))) && (\n box25.R8[Long].get == placeholder[Long](123)\n )\n ) && (box25.R9[Long].get == l19)\n ) && (box25.tokens(placeholder[Int](124))._2 == placeholder[Long](125))\n )\n } else { placeholder[Boolean](126) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702020000000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,0,0,0,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0564",
"sigmaType": "SLong",
"renderedValue": "50"
},
"R4": {
"serializedValue": "0e8b0172696e676f3a3833616431373a3530396537313a333a343a4d3230372e352c3137382e35513138372c3233322c3132372c3232382e355136372c3232352c34352c3137355132332c3132352c34332e352c37322e355136342c32302c3132312e352c3236513137392c33322c3230332e352c37382e35513232382c3132352c3230372e352c3137382e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "72696e676f3a3833616431373a3530396537313a333a343a4d3230372e352c3137382e35513138372c3233322c3132372c3232382e355136372c3232352c34352c3137355132332c3132352c34332e352c37322e355136342c32302c3132312e352c3236513137392c33322c3230332e352c37382e35513232382c3132352c3230372e352c3137382e355a"
}
}
},
{
"boxId": "5b81c3a0c9340b72e96c3e18a6ea5089ba51f98d30f196525e26b4d68e8dd82c",
"value": 1000000,
"index": 1,
"spendingProof": "6e69c83265401592a567f91fa19ada1e8facd9d9f4f85897bb188a96048cf7526977c5c1c277e533ee1299187ee1146261e2b9b233990aae",
"outputBlockId": "f52a6999b97301e0236210cee61ddde39f62f67ab30bd36b7918500840542542",
"outputTransactionId": "422dbe3f237f89b379b86bfe387aeeb62cb54f45b58bd9e4f6d8cb40609cff5e",
"outputIndex": 2,
"outputGlobalIndex": 21495981,
"outputCreatedAt": 836378,
"outputSettledAt": 836380,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
"tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
"index": 0,
"amount": 3,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "a44c95129f1b954c0714ea41097b2fbd7286b612bce7ed91bbc3a59ee4798e91",
"value": 26960000,
"index": 2,
"spendingProof": "3275f1785d1a6d2409c3bc6d719bce9901f884dfe0af3744b90c0bc64c34b04da292cbd8f0a5fb4fcfc7bb1dcc021cdb4e08a247fcc37b3d",
"outputBlockId": "f52a6999b97301e0236210cee61ddde39f62f67ab30bd36b7918500840542542",
"outputTransactionId": "f060aa34bedc2595257c424c958d3f09c98321c801ca58541a51f27b9a25c14b",
"outputIndex": 1,
"outputGlobalIndex": 21495957,
"outputCreatedAt": 836377,
"outputSettledAt": 836380,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "c602d748adcd5ab1c4c61641b81db2d7fd95dc1a6b49e2dcb39fe269fe8b75ef",
"value": 1000000,
"index": 0,
"outputBlockId": "c3e25480f5e69cc505f0b91e9a043883409c91b2c0daf78221cfc7c4bd7913f2",
"outputTransactionId": "386298e48136aa83f85149028566c19d6e574323c7bf95285da965ff5239f17c",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020404eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHcXaiuZGf9XTnSSazKFXS",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "11060ac0a386010206c83380897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,1100000,1,3,3300,1000000]"
},
"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": "1a04206047921e5dbaf95702ce36a8cf59568cdbc94625f49dff26797820074f286e5f20a975b95cdc95809439e4843e87e2a2ab891a3c0ce2b18490c706ccbd33ecc21720314655c7edcd47f0a12fc89b7e5b332fc6f86e25421ecc7174aa55b5c5bac2bb20b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6047921e5dbaf95702ce36a8cf59568cdbc94625f49dff26797820074f286e5f,a975b95cdc95809439e4843e87e2a2ab891a3c0ce2b18490c706ccbd33ecc217,314655c7edcd47f0a12fc89b7e5b332fc6f86e25421ecc7174aa55b5c5bac2bb,b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f]"
}
}
}
],
"outputs": [
{
"boxId": "9c8453f5a5cf1b94d21254ef1918bf92d087d3997417d334604547000e30c129",
"transactionId": "61ff9be0a5af56772cdbdd7bbae8ef63364f846f2cf12044fc4e0cab571927cc",
"blockId": "865e4773c0885ad6de84ad0a6d78d5f6d83f4805a0e52fce13575e53d182d422",
"value": 7900000,
"index": 0,
"globalIndex": 21677833,
"creationHeight": 839072,
"settlementHeight": 839074,
"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: 5\n18: 6\n19: 0\n20: 1\n21: 0\n22: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n23: 0\n24: 1000\n25: 1000000\n26: 0\n27: 2\n28: 1\n29: 1\n30: false\n31: false\n32: 0\n33: 1\n34: 1000\n35: 1000000\n36: 2\n37: 0\n38: 0\n39: 0\n40: false\n41: false\n42: 0\n43: 2\n44: 2\n45: 1\n46: false\n47: 3\n48: 2\n49: 0\n50: 0\n51: false\n52: 0\n53: 2\n54: 2\n55: 2\n56: 3\n57: 3\n58: 0\n59: 0\n60: 2\n61: 1\n62: 0\n63: 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)\n64: 0\n65: 1000\n66: 1\n67: 1000\n68: 4\n69: 5\n70: 6\n71: 0\n72: 1\n73: 1\n74: 4\n75: 1\n76: 5\n77: 6\n78: 0\n79: 3\n80: 1\n81: 1\n82: 4\n83: 5\n84: 0\n85: 6\n86: 0\n87: 0\n88: 0\n89: 6\n90: 1\n91: 0\n92: 1\n93: false\n94: false\n95: false\n96: 2\n97: 3\n98: 2\n99: 1000\n100: 1000000\n101: 2\n102: 2\n103: 2\n104: 0\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 2\n122: 0\n123: 0\n124: 0\n125: 2\n126: 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 val i31 = coll18(placeholder[Int](19))\n val i32 = coll18(placeholder[Int](20))\n val coll33 = box1.R7[Coll[Long]].get\n sigmaProp(box1.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22)) && prop2 && sigmaProp((((if (!bool9) {(\n val box34 = OUTPUTS(placeholder[Int](23))\n val l35 = max(l11 * l12 / placeholder[Long](24), placeholder[Long](25))\n if (blake2b256(box34.propositionBytes) == coll10) {(\n val tuple36 = box34.tokens(placeholder[Int](26))\n ((((tuple36._1 == coll4) && (tuple36._2 == placeholder[Long](27))) && (box34.value >= l35)) && (OUTPUTS(placeholder[Int](28)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](29)).value >= l11 - l35 - l6)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool9 && (l13 == placeholder[Long](32))) {(\n val box34 = OUTPUTS(placeholder[Int](33))\n val l35 = l11 - box15.value\n if (box34.propositionBytes == coll14) { ((((((((box34.value >= max(max(l35, l35) * l12 / placeholder[Long](34), placeholder[Long](35))) && (l16 == placeholder[Long](36))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](37))) && (box15.R8[Long].get == placeholder[Long](38))) && (box15.R9[Long].get == l19)) && (l20 == placeholder[Long](39)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) }) || if (bool9 && (l13 == placeholder[Long](42))) { ((((((l21 == l11) && (l16 == placeholder[Long](43))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l19)) && \n val l34 = box15.R7[Long].get\n (l34 == placeholder[Long](44)) || ((l34 == placeholder[Long](45)) && (box15.R8[Long].get <= l11 - l7))\n } else { placeholder[Boolean](46) }) || if (bool9 && (l13 != placeholder[Long](47))) { ((((((bool22 && (l16 == placeholder[Long](48))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](49))) && (box15.R8[Long].get == placeholder[Long](50))) && (box15.R9[Long].get == l19) } else { placeholder[Boolean](51) }) || if ((bool9 && (!bool23)) && (l13 == placeholder[Long](52))) { if (i24 > placeholder[Int](53)) { if (blake2b256(coll26) == coll10) { ((((((((((bool22 && bool27) && (box15.R5[Coll[Int]].get(placeholder[Int](54)) == coll18(placeholder[Int](55)))) && (box15.R5[Coll[Int]].get(placeholder[Int](56)) == coll18(placeholder[Int](57)))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](58))) && (box15.R8[Long].get == placeholder[Long](59))) && (box15.R9[Long].get == l19)) && (l16 == placeholder[Long](60))) && (box25.tokens.size == placeholder[Int](61))) && (box25.tokens(placeholder[Int](62))._1 == placeholder[Coll[Byte]](63))) && \n val coll34 = box15.R5[Coll[Int]].get\n val i35 = coll34(placeholder[Int](64))\n (((((((i35 <= placeholder[Int](65)) && (coll34(placeholder[Int](66)) <= placeholder[Int](67))) && (coll34(placeholder[Int](68)) == i28)) && (coll34(placeholder[Int](69)) == i29)) && (coll34(placeholder[Int](70)) == i30)) && (box25.tokens(placeholder[Int](71))._2 >= i35 + coll34(placeholder[Int](72)) - i31 + i32.toLong)) || ((((((i35 == i31) && (coll34(placeholder[Int](73)) == i32)) && (coll34(placeholder[Int](74)) == i28 + placeholder[Int](75))) && (coll34(placeholder[Int](76)) == i29)) && (coll34(placeholder[Int](77)) == i30)) && (box25.tokens(placeholder[Int](78))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](79) * i28 + placeholder[Int](80))))) || ((((i35 == i31) && (coll34(placeholder[Int](81)) == i32)) && (coll34(placeholder[Int](82)) == i28)) && \n val i36 = coll34(placeholder[Int](83))\n ((((i36 > placeholder[Int](84)) && (i36 != i29)) && (coll34(placeholder[Int](85)) == placeholder[Int](86))) && (box25.tokens(placeholder[Int](87))._2 >= coll33(placeholder[Int](88)))) || (((i36 == i29) && (coll34(placeholder[Int](89)) == i30 + placeholder[Int](90))) && (box25.tokens(placeholder[Int](91))._2 >= coll33(i30 + placeholder[Int](92))))\n )\n } else { placeholder[Boolean](93) } } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) }) || sigmaProp(\n (\n if (bool9 && (l13 == placeholder[Long](96))) {\n if (i24 > placeholder[Int](97)) {\n if (coll26 == coll14) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box25.value >= max(l20 * placeholder[Long](98) * l12 / placeholder[Long](99), placeholder[Long](100))) && (\n OUTPUTS(placeholder[Int](101)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](102)).value >= l20)\n ) && bool22\n ) && (l16 == placeholder[Long](103))\n ) && bool27\n ) && (box15.R5[Coll[Int]].get == coll18)\n ) && (box15.R7[Long].get == placeholder[Long](104))\n ) && (box15.R8[Long].get == placeholder[Long](105))\n ) && (box15.R9[Long].get == l19)\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool9 && bool23) && (l13 == placeholder[Long](109))) {\n if (i24 >= placeholder[Int](110)) {\n if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll3(placeholder[Int](112))) {\n blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll3(placeholder[Int](114))\n } else { placeholder[Boolean](115) }\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n ) || if ((bool9 && bool23) && (l13 == placeholder[Long](118))) {\n (\n (\n (\n ((bool27 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](119))) && (box15.R8[Long].get == placeholder[Long](120))\n ) && (box15.R9[Long].get == l19)\n ) && (l16 == placeholder[Long](121))\n ) || (\n (\n (\n (((box25.R4[Coll[Byte]].get == coll17) && (box25.R6[SigmaProp].get == prop2)) && (box25.R7[Long].get == placeholder[Long](122))) && (\n box25.R8[Long].get == placeholder[Long](123)\n )\n ) && (box25.R9[Long].get == l19)\n ) && (box25.tokens(placeholder[Int](124))._2 == placeholder[Long](125))\n )\n } else { placeholder[Boolean](126) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100704040000000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[2,2,0,0,0,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0564",
"sigmaType": "SLong",
"renderedValue": "50"
},
"R4": {
"serializedValue": "0e8b0172696e676f3a3833616431373a3530396537313a333a343a4d3230372e352c3137382e35513138372c3233322c3132372c3232382e355136372c3232352c34352c3137355132332c3132352c34332e352c37322e355136342c32302c3132312e352c3236513137392c33322c3230332e352c37382e35513232382c3132352c3230372e352c3137382e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "72696e676f3a3833616431373a3530396537313a333a343a4d3230372e352c3137382e35513138372c3233322c3132372c3232382e355136372c3232352c34352c3137355132332c3132352c34332e352c37322e355136342c32302c3132312e352c3236513137392c33322c3230332e352c37382e35513232382c3132352c3230372e352c3137382e355a"
}
},
"spentTransactionId": "14fd07ca1b54a2b852b110b37bab367852a669f48bea023d63face8cadd6b559",
"mainChain": true
},
{
"boxId": "db5388f6c41c48f8dd9ce90481a3abd30fc2b94972dbcb4efedd9b8ecbee5db9",
"transactionId": "61ff9be0a5af56772cdbdd7bbae8ef63364f846f2cf12044fc4e0cab571927cc",
"blockId": "865e4773c0885ad6de84ad0a6d78d5f6d83f4805a0e52fce13575e53d182d422",
"value": 1000000,
"index": 1,
"globalIndex": 21677834,
"creationHeight": 839072,
"settlementHeight": 839074,
"ergoTree": "100f040008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e040004040400040004020400010004000e20839aeda1a589b18355eee8da3fe3f3d4b4a91e774f303baaf85010aa9c4b9ec7058084af5f040204020100d803d601b2db6501fe730000d6027301d603b2a5730200ea02d1ed9593b1a57303ed93b1db6308b2a5730400730593b1db6308b2a573060073077308938cb2db6308720173090001730aeb027202d19593c27203d07202ed92c17203730b93c1b2a5730c00b2e4c672010511730d00730e",
"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(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\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": "DaL2oRoq8FPfFKpZPsWqiv6qHkyiGUFdNVDVdNUmQMVV29iZTvds1XU8w9RJRChcSwCKhmqkpK8AiAqDQiuheZHb63iw23M6FMqRxFrdF4vXD4HzYRiRihYibMFXt4rR6XyWi8wVmgfojv27cQ4RAfYtuZdjJU4fWtKUj4aeB1iLNbi3axAg9MjCBF8PSDs69VcKmBB5vTpJDi1Pd9G2ZVxwUV15dDYDZZdmUaxxAD6Sutgov3Lf7wTUAKcdze5RqZvJ9TzBruLrbsNj65fQmPswngiVzAeGHh4PVok3D",
"assets": [
{
"tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
"index": 0,
"amount": 2,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "e95c0c7523e0da4ed5b196b6ae5b1cbec07eaec7888f89139841721147f7208c",
"mainChain": true
},
{
"boxId": "7516eec3845208f69b0d63e97e4791dd6929186ee3da58a36509d3a70bba9c37",
"transactionId": "61ff9be0a5af56772cdbdd7bbae8ef63364f846f2cf12044fc4e0cab571927cc",
"blockId": "865e4773c0885ad6de84ad0a6d78d5f6d83f4805a0e52fce13575e53d182d422",
"value": 25860000,
"index": 2,
"globalIndex": 21677835,
"creationHeight": 839072,
"settlementHeight": 839074,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
"tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
"index": 0,
"amount": 1,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "6963844f4f27ca41d4255cf4b5cf1410693c9810b16e80ddc5aa0a2e6d998673",
"mainChain": true
},
{
"boxId": "d01e050098142d5770e4b7d72c887a3c16e5026cc78aa0dcbd035424604a6543",
"transactionId": "61ff9be0a5af56772cdbdd7bbae8ef63364f846f2cf12044fc4e0cab571927cc",
"blockId": "865e4773c0885ad6de84ad0a6d78d5f6d83f4805a0e52fce13575e53d182d422",
"value": 1100000,
"index": 3,
"globalIndex": 21677836,
"creationHeight": 839072,
"settlementHeight": 839074,
"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": "36b181f14f4e502b4edf43fa730dd2ffc84fcb499b46fd05de52dc797a4710ab",
"mainChain": true
}
],
"size": 2821,
"isUnconfirmed": false
}