Transaction
ID: 422dbe3f23...ff5e
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0079 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0079 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1989 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.2037 ERG
Tokens:
Loading assets...
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:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 926,508
Total coins transferred: 0.2147 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000232 ERG
Raw Transaction Data
{
"id": "422dbe3f237f89b379b86bfe387aeeb62cb54f45b58bd9e4f6d8cb40609cff5e",
"blockId": "f52a6999b97301e0236210cee61ddde39f62f67ab30bd36b7918500840542542",
"inclusionHeight": 836380,
"timestamp": 1662913979404,
"index": 23,
"globalIndex": 3987225,
"numConfirmations": 926508,
"inputs": [
{
"boxId": "0951c77a97b537d2697f6b461d90d7e8e4c01cf2ebd4973a125de1d409ac3273",
"value": 7900000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f52a6999b97301e0236210cee61ddde39f62f67ab30bd36b7918500840542542",
"outputTransactionId": "fc27a5453cd392f346046507afe819173d25e97393ae808f572bf1b8b4de24af",
"outputIndex": 0,
"outputGlobalIndex": 21495974,
"outputCreatedAt": 836378,
"outputSettledAt": 836380,
"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(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)\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": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100706040000020202",
"sigmaType": "Coll[SInt]",
"renderedValue": "[3,2,0,0,1,1,1]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
}
},
{
"boxId": "f7be1c26fb7810cd98207c904c09deb480a0090ae99a7301c6298eb54f7eea69",
"value": 7900000,
"index": 1,
"spendingProof": null,
"outputBlockId": "f52a6999b97301e0236210cee61ddde39f62f67ab30bd36b7918500840542542",
"outputTransactionId": "fc27a5453cd392f346046507afe819173d25e97393ae808f572bf1b8b4de24af",
"outputIndex": 1,
"outputGlobalIndex": 21495975,
"outputCreatedAt": 836378,
"outputSettledAt": 836380,
"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(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)\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": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702020000000600",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,0,0,0,3,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "0504",
"sigmaType": "SLong",
"renderedValue": "2"
},
"R4": {
"serializedValue": "0edf0153616420426c75653a3561613164333a3537633263323a323a323a4d3230362e352c3135312e35513230382c3137382c3138352e352c313933513136332c3230382c3133372e352c323132513131322c3231362c3130302c3139325138382c3136382c36362e352c3135385134352c3134382c33312c3132302e355131372c39332c33362e352c36395135362c34352c38362e352c3539513131372c37332c3134302c35372e35513136332c34322c3136352e352c3730513136382c39382c3138362e352c3131312e35513230352c3132352c3230362e352c3135312e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "53616420426c75653a3561613164333a3537633263323a323a323a4d3230362e352c3135312e35513230382c3137382c3138352e352c313933513136332c3230382c3133372e352c323132513131322c3231362c3130302c3139325138382c3136382c36362e352c3135385134352c3134382c33312c3132302e355131372c39332c33362e352c36395135362c34352c38362e352c3539513131372c37332c3134302c35372e35513136332c34322c3136352e352c3730513136382c39382c3138362e352c3131312e35513230352c3132352c3230362e352c3135312e355a"
}
}
},
{
"boxId": "9f9a2f28025b55c3102a0e6e5db7837857ff13f3dbb0c7f97b457b88d3436ad9",
"value": 198900000,
"index": 2,
"spendingProof": null,
"outputBlockId": "f52a6999b97301e0236210cee61ddde39f62f67ab30bd36b7918500840542542",
"outputTransactionId": "fc27a5453cd392f346046507afe819173d25e97393ae808f572bf1b8b4de24af",
"outputIndex": 2,
"outputGlobalIndex": 21495976,
"outputCreatedAt": 836378,
"outputSettledAt": 836380,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 1\n4: 0\n5: 1\n6: 3\n7: CBigInt(-1)\n8: 1\n9: 2\n10: 4\n11: 3\n12: 5\n13: 0\n14: 1\n15: 2\n16: 8\n17: 1\n18: 2\n19: 6\n20: 5\n21: 5\n22: 2\n23: 1\n24: 4\n25: 1\n26: 2\n27: 4\n28: 3\n29: 5\n30: 0\n31: 2\n32: 8\n33: 1\n34: 2\n35: 6\n36: 5\n37: 5\n38: 2\n39: 1\n40: 0\n41: 3\n42: 0\n43: 6\n44: 2\n45: 4\n46: 1\n47: 0\n48: 3\n49: 6\n50: 2\n51: 4\n52: 1\n53: 3\n54: 5\n55: 1\n56: 2\n57: 0\n58: 1\n59: 3\n60: 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)\n61: 3\n62: 2\n63: 0\n64: 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)\n65: 0\n66: 0\n67: false\n68: 0\n69: 0\n70: false\n71: 2\n72: 2\n73: 2000000\n74: 2\n75: 2\n76: 2000000\n77: 2\n78: 1\n79: 0\n80: 0\n81: 0\n82: false\n83: 3\n84: 1\n85: 0\n86: 0\n87: 0\n88: false\n89: 0\n90: 1\n91: 2\n92: 1\n93: 3\n94: 1\n95: 4\n96: 0\n97: 1\n98: 2\n99: 1\n100: 3\n101: 4\n102: false\n103: 0\n104: 1\n105: 2\n106: 1\n107: 3\n108: 1\n109: 4\n110: 0\n111: 1\n112: 2\n113: 1\n114: 3\n115: 4\n116: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = OUTPUTS(placeholder[Int](1))\n val coll3 = box1.R4[Coll[Coll[Byte]]].get(placeholder[Int](2))\n val prop4 = SELF.R4[SigmaProp].get\n val box5 = OUTPUTS(placeholder[Int](3))\n val prop6 = SELF.R7[SigmaProp].get\n val coll7 = CONTEXT.headers(placeholder[Int](4)).id\n val bi8 = byteArrayToBigInt(coll7.slice(placeholder[Int](5), placeholder[Int](6)))\n val bi9 = placeholder[BigInt](7)\n val coll10 = SELF.R9[Coll[Int]].get\n val i11 = coll10(placeholder[Int](8))\n val i12 = coll10(placeholder[Int](9))\n val coll13 = box1.R5[Coll[Long]].get\n val i14 = coll10(placeholder[Int](10))\n val i15 = placeholder[Int](11) * i14\n val i16 = coll10(placeholder[Int](12))\n val bool17 = i16 == placeholder[Int](13)\n val coll18 = box1.R8[Coll[Int]].get\n val i19 = coll18(placeholder[Int](14))\n val i20 = placeholder[Int](15) + placeholder[Int](16) * i16 - placeholder[Int](17) + placeholder[Int](18) * coll10(placeholder[Int](19))\n val l21 = placeholder[Int](20) * i11 + placeholder[Int](21) * i12.toLong + coll13(i15 + placeholder[Int](22)) + if (bool17) { i19 } else {\n coll18(i20 + placeholder[Int](23))\n }.toLong\n val l22 = coll13(placeholder[Int](24))\n val coll23 = SELF.R6[Coll[Int]].get\n val i24 = coll23(placeholder[Int](25))\n val i25 = coll23(placeholder[Int](26))\n val i26 = coll23(placeholder[Int](27))\n val i27 = placeholder[Int](28) * i26\n val i28 = coll23(placeholder[Int](29))\n val bool29 = i28 == placeholder[Int](30)\n val i30 = placeholder[Int](31) + placeholder[Int](32) * i28 - placeholder[Int](33) + placeholder[Int](34) * coll23(placeholder[Int](35))\n val l31 = placeholder[Int](36) * i24 + placeholder[Int](37) * i25.toLong + coll13(i27 + placeholder[Int](38)) + if (bool29) { i19 } else {\n coll18(i30 + placeholder[Int](39))\n }.toLong\n val i32 = coll10(placeholder[Int](40))\n val i33 = coll10(placeholder[Int](41))\n val i34 = coll18(placeholder[Int](42))\n val l35 = placeholder[Int](43) * i32 + placeholder[Int](44) * i12 + placeholder[Int](45) * i33.toLong + coll13(i15 + placeholder[Int](46)) + if (bool17) {\n i34\n } else { coll18(i20) }.toLong\n val i36 = coll23(placeholder[Int](47))\n val i37 = coll23(placeholder[Int](48))\n val l38 = placeholder[Int](49) * i36 + placeholder[Int](50) * i25 + placeholder[Int](51) * i37.toLong + coll13(i27 + placeholder[Int](52)) + if (bool29) {\n i34\n } else { coll18(i30) }.toLong\n val bi39 = max(max(bi8, bi9 * bi8), min(l21 + l22, l31).toBigInt) + min(l35 + l22, l38).toBigInt\n val bi40 = byteArrayToBigInt(coll7.slice(placeholder[Int](53), placeholder[Int](54)))\n val bi41 = max(max(bi40, bi9 * bi40), min(l31 + l22, l21).toBigInt) + min(l38 + l22, l35).toBigInt\n val bool42 = bi39 > bi41\n val l43 = coll13(placeholder[Int](55))\n val l44 = SELF.value + l43 / placeholder[Long](56)\n val l45 = INPUTS(placeholder[Int](57)).value\n val l46 = INPUTS(placeholder[Int](58)).value\n val bool47 = bi39 <= bi41\n val bool48 = OUTPUTS.size > placeholder[Int](59)\n val coll49 = placeholder[Coll[Byte]](60)\n val l50 = coll13(placeholder[Int](61))\n val l51 = coll13(placeholder[Int](62))\n val opt52 = box2.R5[Coll[Int]]\n val opt53 = box5.R5[Coll[Int]]\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64), if (blake2b256(box2.propositionBytes) == coll3) {\n (((box2.R6[SigmaProp].get == prop4) && (box2.R7[Long].get == placeholder[Long](65))) && (box2.R8[Long].get == placeholder[Long](66))) && (\n box2.R9[Long].get == SELF.R5[Long].get\n )\n } else { placeholder[Boolean](67) }, if (blake2b256(box5.propositionBytes) == coll3) {\n (((box5.R6[SigmaProp].get == prop6) && (box5.R7[Long].get == placeholder[Long](68))) && (box5.R8[Long].get == placeholder[Long](69))) && (\n box5.R9[Long].get == SELF.R8[Long].get\n )\n } else { placeholder[Boolean](70) }, anyOf(\n Coll[Boolean](\n (bool42 && (box2.value == l45 + placeholder[Long](71) * l44 - placeholder[Long](72) * l43 - placeholder[Long](73))) && (box5.value == l46), (\n bool47 && (box2.value == l45)\n ) && (box5.value == l46 + placeholder[Long](74) * l44 - placeholder[Long](75) * l43 - placeholder[Long](76))\n )\n ), if (bool48) {(\n val box54 = OUTPUTS(placeholder[Int](77))\n (\n ((box54.propositionBytes == prop4.propBytes) && (box54.tokens.size == placeholder[Int](78))) && (box54.tokens(placeholder[Int](79))._1 == coll49)\n ) && ((bool42 && (box54.tokens(placeholder[Int](80))._2 == l50)) || (bool47 && (box54.tokens(placeholder[Int](81))._2 == l51)))\n )} else { placeholder[Boolean](82) }, if (bool48) {(\n val box54 = OUTPUTS(placeholder[Int](83))\n (\n ((box54.propositionBytes == prop6.propBytes) && (box54.tokens.size == placeholder[Int](84))) && (box54.tokens(placeholder[Int](85))._1 == coll49)\n ) && ((bool42 && (box54.tokens(placeholder[Int](86))._2 == l51)) || (bool47 && (box54.tokens(placeholder[Int](87))._2 == l50)))\n )} else { placeholder[Boolean](88) }, if (opt52.isDefined) {(\n val coll54 = opt52.get\n anyOf(\n Coll[Boolean](\n (\n (\n ((bool42 && (coll54(placeholder[Int](89)) == i36)) && (coll54(placeholder[Int](90)) == i24)) && (\n coll54(placeholder[Int](91)) == i25 + placeholder[Int](92)\n )\n ) && (coll54(placeholder[Int](93)) == i37 + placeholder[Int](94))\n ) && (coll54(placeholder[Int](95)) == i26), (\n (\n ((bool47 && (coll54(placeholder[Int](96)) == i36)) && (coll54(placeholder[Int](97)) == i24)) && (\n coll54(placeholder[Int](98)) == i25 + placeholder[Int](99)\n )\n ) && (coll54(placeholder[Int](100)) == i37)\n ) && (coll54(placeholder[Int](101)) == i26)\n )\n )\n )} else { placeholder[Boolean](102) }, if (opt53.isDefined) {(\n val coll54 = opt53.get\n anyOf(\n Coll[Boolean](\n (\n (\n ((bool47 && (coll54(placeholder[Int](103)) == i32)) && (coll54(placeholder[Int](104)) == i11)) && (\n coll54(placeholder[Int](105)) == i12 + placeholder[Int](106)\n )\n ) && (coll54(placeholder[Int](107)) == i33 + placeholder[Int](108))\n ) && (coll54(placeholder[Int](109)) == i14), (\n (\n ((bool42 && (coll54(placeholder[Int](110)) == i32)) && (coll54(placeholder[Int](111)) == i11)) && (\n coll54(placeholder[Int](112)) == i12 + placeholder[Int](113)\n )\n ) && (coll54(placeholder[Int](114)) == i33)\n ) && (coll54(placeholder[Int](115)) == i14)\n )\n )\n )} else { placeholder[Boolean](116) }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
"index": 1,
"amount": 4,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R6": {
"serializedValue": "100706040000020202",
"sigmaType": "Coll[SInt]",
"renderedValue": "[3,2,0,0,1,1,1]"
},
"R8": {
"serializedValue": "0504",
"sigmaType": "SLong",
"renderedValue": "2"
},
"R7": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R9": {
"serializedValue": "100702020000000600",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,0,0,0,3,0]"
},
"R4": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
}
}
}
],
"dataInputs": [
{
"boxId": "db77c44e3ccf5ed84a83d6d29a6064ce61a8001ac1eb92145b8406a9941280fc",
"value": 1000000,
"index": 0,
"outputBlockId": "42961fa2fd454d2d21b871c6a7fc599bed7642c5a4b61c46c9ff142d24b92792",
"outputTransactionId": "2a799d3fd007296d2c403c66d6efcd3f2c1f3b66cb5e9af02a2b8a7e290b2b29",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"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": "1a0420b62779e598bc19a8ff45278512f89a267e51b79b02b30e22388fdfce24b628f120d2bcde6b5335d1522ff7d3d2d60a1fa05f6dc65134413148e5fbfc83866b0a67204e5d946b409e5181149a9f59e65c67f33457597bdd442cd2fc870aa061237215201e0bd8ad69f1b1160303b527205007a7107fec6029435d1ab14305d1bfa72e06",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b62779e598bc19a8ff45278512f89a267e51b79b02b30e22388fdfce24b628f1,d2bcde6b5335d1522ff7d3d2d60a1fa05f6dc65134413148e5fbfc83866b0a67,4e5d946b409e5181149a9f59e65c67f33457597bdd442cd2fc870aa061237215,1e0bd8ad69f1b1160303b527205007a7107fec6029435d1ab14305d1bfa72e06]"
}
}
}
],
"outputs": [
{
"boxId": "fdb0d8e78c1d0cd9bf4b50c2b131a9eeb74a6211f77a77d7b60736356b355cc5",
"transactionId": "422dbe3f237f89b379b86bfe387aeeb62cb54f45b58bd9e4f6d8cb40609cff5e",
"blockId": "f52a6999b97301e0236210cee61ddde39f62f67ab30bd36b7918500840542542",
"value": 203700000,
"index": 0,
"globalIndex": 21495979,
"creationHeight": 836378,
"settlementHeight": 836380,
"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(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)\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": "HYUehBTYcCTHuz4WAzgh9XWL2nwt3tJYSC3teHKVbQx1kXzFWz5WLWBxa32h4XEzRZnR54pSS3Qcd3YYJsBzYuoaNJwYDTsGM5acaLNhGytF1EJVeJ9zmQRsxBDRR6C4dXGdYK8u7zjhqPuk5khwZCaAomYu8vAi9zQkhNkMHQSX5o7MrDooF8sdf3CEegnbNs6K5Cu2zoAU26aKEJC4RtJU1YsC8iQyve6Erq4afNhhkBfQ92ShaGqViWMcrL8xHRfs1BsUJbJbG1CXuupNK6cn23JqiycuUp37rnGUMthkjeQ3Sfbe5Atpbu5SPVopmbaka6swUmXnHiRFi6CdAeXRLYwxrtYRm9bpAPoUND62vdYVLeRyyEyQ1WmTswjQe2xBHdtTUGGWCZrxY3hDxCcsgPiKu4oYV6qWY53gFdvqLY1VoT8JmUkeHuTzockHxeJghRk4JG4RAzZ9Zn26sFG4okAo8B1Svfed4ayrYuuudy16PqduqeXSWjcFGeKDa45QBe1VbKFJkcP76nt72MBrw1z4SiY8RBqxS4Kdw19w8sK9qNtJiur3Po5RFGkmNmuQQtt6LHiyqYJiFNSS8TyVEhA3UiLzcaZkrTTxg5EbL9M64GAZpDZLRorQksfJqXS9o5qZ7jFCHfLU3LVY3xvj34LgtN7khvCiqnfErYtxVCGmWZUkiJQ44URGf1LKyJYQQEC6Y468si9BziPSWVgRCuVwfiy6bJrzU8Vu1AR1ebGik2DzZd4rDVsjjFLxhN25ZiDMWzW5GbaosCJYac7acqoEtVFMiJDUmQMqVCPS3eKMLpNmCWEbnVAHE4GQDQ45ch7aA4QRpGwkxa5ebXYyShm9JGe6nZ7Jv6xofPH3TQ1rWX47GQ7L7ddrN6ikEzXE4p6nRcmGfVXHUd4HaymvFVsndirKnZZ8ASFZS3wkTXp7uaPMNCTETu1NGmQBVDfb7SgzfU3z45LcpjYMEGHuLvyn2LzafcXZ2DzmcNi3dvyBUHQ38bFq6eWnCNuBcNiMvkR1BMkmu7eLDd3itXF89Urmj4wT85kEhovNkQK6cqWMdpSTFjAVGfDDNcYhMWrbLBjXizPa3yPDKqeLSD7gE5VeKvfeWKE2EuXPXtiHxdf5RAEkuxVyhNjviPvNi644j2oxakcoifd92e8DBvgYcFpwEj8dX3EXRx29t8KzVumtWfdJz1nCZ1smebvXnqNqT74d5Bp1E7YxEKg1cYc4LRC7uoy67646Jb4mQpc93EpBp2Vr7w1z7GyYxm11xiqxUP978RcERNjfjTx5xeWioxat7mkFvHU199hUBK2Q8i53ufJgMLEJo1Mjmapb9u6Lwtp6YNWX82YRwY4vaLtwxEzuMCuRQyMnagdSgEoRDQa3aVGq5vkUigarKtY8Zbv9rc2DP16sgM9GjPYrA9VeyPWGzubafRUjR5Qq8JeCqDsL7ZpT7U2fFEyqHfrWQSEsumBKQw9dNdL6A1qw1iPZpEqgA7m3M6YpKfSfUN6vgoxqHFN4EHQMaRGQo4uf5v7YiDe9PMZJgxptcW6pSuVyYMpXqE3aj1a6Zm8u7BZuj3p6BPc97s52o7vQjqftrtJddCeDRZexUHPY5jxjsAzPxBVtmWrvZzkpHNXwKVgLXkFhWmKpRu4jy5p9ko62wSoCrpN6F91LmprgJu5x8PsZ9mLa9kNKDgpzScLvs6McpgAtzR6z1fZj2iQFUFS2vmqFfaoqNhFRJ4eN6ogA9TbvqGQF4JfjrZR9TfghRw4Ku8MtZ3sGhXgJdDjJPXKLfX516chEmQkMvsJ7GbWyoEdFvHXAX5CaXC3LQ7yXsL2N9HgP9q1rwUK9Wen22SVomMxqn5ZuK5f3hCKCT7tunaEgEHLYj5TKjDNG31Ck97CVigzGnczMovjK4Y9i1gRJtdNAxAuQTJ86fnXxX1VzRnjLHmPJViCa8BGaeJCZxow6yofZVhGarTxyDa8xCeEPoKhCJ4qBnGkPGAaS4JSRr8MMV9QVNy9SatiUukEtYemFreeriHgkGZHDUfDztF7GaQRSPLBZkZMP5PyyLEgDi6ajYaqBJDUxb7L3Me5nJKsHLsx5xLxpjUrr1Mb3efQb7QtGLM4rdHTWRbC7EMMiQvLHbYpF4ixbkquh8NwThnP9m18DAzdfBRfnc3wCAFe2gW7dG5ipgfXihxafph1Yf4872VTbkKHgzHcC1iW6VBP34qVNigXnRTVM4uSD2tbwhFu2cc8HBZ8YzJCMPZTWue9LVcEupVseph19dcVNzTUyr5o2bHLQxUmwmW2AMaeLE5F4wVPwSTtNEC8fFqD6Wues69NEBqdeoz55tZEZTy4Ge95ms8yaAk2x6F4vsK3ehLDhxAbto7LxnJZLXj6ZhukWtUFVk5aQydPk9jMrQ4eymaX6DMfvSxpCFThp8tbZFH6RTPAWEEStrDvXnc2g7ronpN6wM2fx8L9F2aLWE323T8qmbMsZXqR31AmARxVtsHH8HgugjQdtfyYE86bvB6GaVRtG5LnW8dtSAJ9UyCPz9MvWipZ2MBtsp",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100706040202020202",
"sigmaType": "Coll[SInt]",
"renderedValue": "[3,2,1,1,1,1,1]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
},
"spentTransactionId": "faf71d1919487dc2fb339e176e1eba079e6f97222a8b8ccf5d505d9ce57ec531",
"mainChain": true
},
{
"boxId": "ce71da8887357b5678b5e4d0b79bd63aa3019c6ae1ff6b3712b4ba212e10c5bf",
"transactionId": "422dbe3f237f89b379b86bfe387aeeb62cb54f45b58bd9e4f6d8cb40609cff5e",
"blockId": "f52a6999b97301e0236210cee61ddde39f62f67ab30bd36b7918500840542542",
"value": 7900000,
"index": 1,
"globalIndex": 21495980,
"creationHeight": 836378,
"settlementHeight": 836380,
"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(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)\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": "HYUehBTYcCTHuz4WAzgh9XWL2nwt3tJYSC3teHKVbQx1kXzFWz5WLWBxa32h4XEzRZnR54pSS3Qcd3YYJsBzYuoaNJwYDTsGM5acaLNhGytF1EJVeJ9zmQRsxBDRR6C4dXGdYK8u7zjhqPuk5khwZCaAomYu8vAi9zQkhNkMHQSX5o7MrDooF8sdf3CEegnbNs6K5Cu2zoAU26aKEJC4RtJU1YsC8iQyve6Erq4afNhhkBfQ92ShaGqViWMcrL8xHRfs1BsUJbJbG1CXuupNK6cn23JqiycuUp37rnGUMthkjeQ3Sfbe5Atpbu5SPVopmbaka6swUmXnHiRFi6CdAeXRLYwxrtYRm9bpAPoUND62vdYVLeRyyEyQ1WmTswjQe2xBHdtTUGGWCZrxY3hDxCcsgPiKu4oYV6qWY53gFdvqLY1VoT8JmUkeHuTzockHxeJghRk4JG4RAzZ9Zn26sFG4okAo8B1Svfed4ayrYuuudy16PqduqeXSWjcFGeKDa45QBe1VbKFJkcP76nt72MBrw1z4SiY8RBqxS4Kdw19w8sK9qNtJiur3Po5RFGkmNmuQQtt6LHiyqYJiFNSS8TyVEhA3UiLzcaZkrTTxg5EbL9M64GAZpDZLRorQksfJqXS9o5qZ7jFCHfLU3LVY3xvj34LgtN7khvCiqnfErYtxVCGmWZUkiJQ44URGf1LKyJYQQEC6Y468si9BziPSWVgRCuVwfiy6bJrzU8Vu1AR1ebGik2DzZd4rDVsjjFLxhN25ZiDMWzW5GbaosCJYac7acqoEtVFMiJDUmQMqVCPS3eKMLpNmCWEbnVAHE4GQDQ45ch7aA4QRpGwkxa5ebXYyShm9JGe6nZ7Jv6xofPH3TQ1rWX47GQ7L7ddrN6ikEzXE4p6nRcmGfVXHUd4HaymvFVsndirKnZZ8ASFZS3wkTXp7uaPMNCTETu1NGmQBVDfb7SgzfU3z45LcpjYMEGHuLvyn2LzafcXZ2DzmcNi3dvyBUHQ38bFq6eWnCNuBcNiMvkR1BMkmu7eLDd3itXF89Urmj4wT85kEhovNkQK6cqWMdpSTFjAVGfDDNcYhMWrbLBjXizPa3yPDKqeLSD7gE5VeKvfeWKE2EuXPXtiHxdf5RAEkuxVyhNjviPvNi644j2oxakcoifd92e8DBvgYcFpwEj8dX3EXRx29t8KzVumtWfdJz1nCZ1smebvXnqNqT74d5Bp1E7YxEKg1cYc4LRC7uoy67646Jb4mQpc93EpBp2Vr7w1z7GyYxm11xiqxUP978RcERNjfjTx5xeWioxat7mkFvHU199hUBK2Q8i53ufJgMLEJo1Mjmapb9u6Lwtp6YNWX82YRwY4vaLtwxEzuMCuRQyMnagdSgEoRDQa3aVGq5vkUigarKtY8Zbv9rc2DP16sgM9GjPYrA9VeyPWGzubafRUjR5Qq8JeCqDsL7ZpT7U2fFEyqHfrWQSEsumBKQw9dNdL6A1qw1iPZpEqgA7m3M6YpKfSfUN6vgoxqHFN4EHQMaRGQo4uf5v7YiDe9PMZJgxptcW6pSuVyYMpXqE3aj1a6Zm8u7BZuj3p6BPc97s52o7vQjqftrtJddCeDRZexUHPY5jxjsAzPxBVtmWrvZzkpHNXwKVgLXkFhWmKpRu4jy5p9ko62wSoCrpN6F91LmprgJu5x8PsZ9mLa9kNKDgpzScLvs6McpgAtzR6z1fZj2iQFUFS2vmqFfaoqNhFRJ4eN6ogA9TbvqGQF4JfjrZR9TfghRw4Ku8MtZ3sGhXgJdDjJPXKLfX516chEmQkMvsJ7GbWyoEdFvHXAX5CaXC3LQ7yXsL2N9HgP9q1rwUK9Wen22SVomMxqn5ZuK5f3hCKCT7tunaEgEHLYj5TKjDNG31Ck97CVigzGnczMovjK4Y9i1gRJtdNAxAuQTJ86fnXxX1VzRnjLHmPJViCa8BGaeJCZxow6yofZVhGarTxyDa8xCeEPoKhCJ4qBnGkPGAaS4JSRr8MMV9QVNy9SatiUukEtYemFreeriHgkGZHDUfDztF7GaQRSPLBZkZMP5PyyLEgDi6ajYaqBJDUxb7L3Me5nJKsHLsx5xLxpjUrr1Mb3efQb7QtGLM4rdHTWRbC7EMMiQvLHbYpF4ixbkquh8NwThnP9m18DAzdfBRfnc3wCAFe2gW7dG5ipgfXihxafph1Yf4872VTbkKHgzHcC1iW6VBP34qVNigXnRTVM4uSD2tbwhFu2cc8HBZ8YzJCMPZTWue9LVcEupVseph19dcVNzTUyr5o2bHLQxUmwmW2AMaeLE5F4wVPwSTtNEC8fFqD6Wues69NEBqdeoz55tZEZTy4Ge95ms8yaAk2x6F4vsK3ehLDhxAbto7LxnJZLXj6ZhukWtUFVk5aQydPk9jMrQ4eymaX6DMfvSxpCFThp8tbZFH6RTPAWEEStrDvXnc2g7ronpN6wM2fx8L9F2aLWE323T8qmbMsZXqR31AmARxVtsHH8HgugjQdtfyYE86bvB6GaVRtG5LnW8dtSAJ9UyCPz9MvWipZ2MBtsp",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702020200000600",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,1,0,0,3,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0504",
"sigmaType": "SLong",
"renderedValue": "2"
},
"R4": {
"serializedValue": "0edf0153616420426c75653a3561613164333a3537633263323a323a323a4d3230362e352c3135312e35513230382c3137382c3138352e352c313933513136332c3230382c3133372e352c323132513131322c3231362c3130302c3139325138382c3136382c36362e352c3135385134352c3134382c33312c3132302e355131372c39332c33362e352c36395135362c34352c38362e352c3539513131372c37332c3134302c35372e35513136332c34322c3136352e352c3730513136382c39382c3138362e352c3131312e35513230352c3132352c3230362e352c3135312e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "53616420426c75653a3561613164333a3537633263323a323a323a4d3230362e352c3135312e35513230382c3137382c3138352e352c313933513136332c3230382c3133372e352c323132513131322c3231362c3130302c3139325138382c3136382c36362e352c3135385134352c3134382c33312c3132302e355131372c39332c33362e352c36395135362c34352c38362e352c3539513131372c37332c3134302c35372e35513136332c34322c3136352e352c3730513136382c39382c3138362e352c3131312e35513230352c3132352c3230362e352c3135312e355a"
}
},
"spentTransactionId": "7df02a2e742182080b959ac3cd7a60034921939c70827d81307d79527abdd8be",
"mainChain": true
},
{
"boxId": "5b81c3a0c9340b72e96c3e18a6ea5089ba51f98d30f196525e26b4d68e8dd82c",
"transactionId": "422dbe3f237f89b379b86bfe387aeeb62cb54f45b58bd9e4f6d8cb40609cff5e",
"blockId": "f52a6999b97301e0236210cee61ddde39f62f67ab30bd36b7918500840542542",
"value": 1000000,
"index": 2,
"globalIndex": 21495981,
"creationHeight": 836378,
"settlementHeight": 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": {},
"spentTransactionId": "61ff9be0a5af56772cdbdd7bbae8ef63364f846f2cf12044fc4e0cab571927cc",
"mainChain": true
},
{
"boxId": "cb6f3f977271b643209aceb87e9ecf57a332c30fe7c5ec965f60d643917dada4",
"transactionId": "422dbe3f237f89b379b86bfe387aeeb62cb54f45b58bd9e4f6d8cb40609cff5e",
"blockId": "f52a6999b97301e0236210cee61ddde39f62f67ab30bd36b7918500840542542",
"value": 1000000,
"index": 3,
"globalIndex": 21495982,
"creationHeight": 836378,
"settlementHeight": 836380,
"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": "fe5d020fcdc551f8156ed9dce63be9b5eadeb396994bbc98c4c5987ec424f9c3",
"mainChain": true
},
{
"boxId": "f948ed77b358777ea6cc030c2e999f413320723c96feae59ee7483dced984d8d",
"transactionId": "422dbe3f237f89b379b86bfe387aeeb62cb54f45b58bd9e4f6d8cb40609cff5e",
"blockId": "f52a6999b97301e0236210cee61ddde39f62f67ab30bd36b7918500840542542",
"value": 1100000,
"index": 4,
"globalIndex": 21495983,
"creationHeight": 836378,
"settlementHeight": 836380,
"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": "24d459a0315d837479a5a4a2de8e73d441d403e5327c2f85fb5ee0fe9c24e49d",
"mainChain": true
}
],
"size": 4744,
"isUnconfirmed": false
}