Transaction
ID: edb8328a88...b032
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.3075 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1279 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1975 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0179 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.2189 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: 934,027
Total coins transferred: 0.4364 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000015 ERG
Raw Transaction Data
{
"id": "edb8328a88f8155486c8cdf9f7a91ac3b9a11d59046dd1a5fb7953dcc2e7b032",
"blockId": "5cc9e90137d91e0aa51f08855f1beb876620ef67fab0c9f5ce640efc44233d96",
"inclusionHeight": 843190,
"timestamp": 1663776817124,
"index": 19,
"globalIndex": 4060528,
"numConfirmations": 934027,
"inputs": [
{
"boxId": "a04bae1187bc8e06a38440f1de1cfcd406fac33ffa64e23a9b2843e81d1aa48b",
"value": 307500000,
"index": 0,
"spendingProof": null,
"outputBlockId": "5cc9e90137d91e0aa51f08855f1beb876620ef67fab0c9f5ce640efc44233d96",
"outputTransactionId": "04a8ac17319ff7de1d4b822eea96ceb03d195e9ef4b3f2658c56877a538f65ad",
"outputIndex": 0,
"outputGlobalIndex": 21915275,
"outputCreatedAt": 843188,
"outputSettledAt": 843190,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 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)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 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)\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: false\n31: false\n32: 0\n33: 1000\n34: 1000000\n35: 0\n36: false\n37: false\n38: 0\n39: 4\n40: 1\n41: 1\n42: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n43: 8\n44: 2\n45: 1\n46: 100000000\n47: false\n48: false\n49: 3\n50: 5\n51: 1\n52: 0\n53: false\n54: 0\n55: 2\n56: 2\n57: 2\n58: 3\n59: 3\n60: 0\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: 0\n104: 2\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: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 1\n127: 5\n128: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n sigmaProp(box1.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && prop2 && sigmaProp((((if (!bool11) {(\n val l39 = max(l13 * l14 / placeholder[Long](26), placeholder[Long](27))\n if (coll4 == coll12) {(\n val tuple40 = coll15(placeholder[Int](28))\n ((((tuple40._1 == coll7) && (tuple40._2 == placeholder[Long](29))) && (box3.value >= l39)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l39 - l9)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool11 && (l18 == placeholder[Long](32))) {(\n val l39 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l39, l39) * l14 / placeholder[Long](33), placeholder[Long](34))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](35)) } else { placeholder[Boolean](36) }\n )} else { placeholder[Boolean](37) }) || if (bool11 && (l18 == placeholder[Long](38))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l39 = box3.R7[Long].get\n if ((l39 == placeholder[Long](39)) && (i25 > placeholder[Int](40))) {(\n val tuple40 = coll15(placeholder[Int](41))\n (tuple40._1 == placeholder[Coll[Byte]](42)) && (tuple40._2 == coll8(placeholder[Int](43)))\n )} else { (l39 == placeholder[Long](44)) || (((l39 == placeholder[Long](45)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](46))) }\n )} else { placeholder[Boolean](47) } } else { placeholder[Boolean](48) }) || if ((bool11 && (l18 != placeholder[Long](49))) && (l18 != placeholder[Long](50))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](51))) && (l27 == placeholder[Long](52)) } else { placeholder[Boolean](53) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](54))) { if (i30 > placeholder[Int](55)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](56)) == coll23(placeholder[Int](57)))) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (l27 == placeholder[Long](60))) && (coll31.size == placeholder[Int](61))) && (coll31(placeholder[Int](62))._1 == placeholder[Coll[Byte]](63))) && \n val coll39 = box3.R5[Coll[Int]].get\n val i40 = coll39(placeholder[Int](64))\n (((((((i40 <= placeholder[Int](65)) && (coll39(placeholder[Int](66)) <= placeholder[Int](67))) && (coll39(placeholder[Int](68)) == i32)) && (coll39(placeholder[Int](69)) == i33)) && (coll39(placeholder[Int](70)) == i34)) && (coll31(placeholder[Int](71))._2 >= i40 + coll39(placeholder[Int](72)) - i35 + i36.toLong)) || ((((((i40 == i35) && (coll39(placeholder[Int](73)) == i36)) && (coll39(placeholder[Int](74)) == i32 + placeholder[Int](75))) && (coll39(placeholder[Int](76)) == i33)) && (coll39(placeholder[Int](77)) == i34)) && (coll31(placeholder[Int](78))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](79) * i32 + placeholder[Int](80))))) || ((((i40 == i35) && (coll39(placeholder[Int](81)) == i36)) && (coll39(placeholder[Int](82)) == i32)) && \n val i41 = coll39(placeholder[Int](83))\n ((((i41 > placeholder[Int](84)) && (i41 != i33)) && (coll39(placeholder[Int](85)) == placeholder[Int](86))) && (coll31(placeholder[Int](87))._2 >= coll37(placeholder[Int](88)))) || (((i41 == i33) && (coll39(placeholder[Int](89)) == i34 + placeholder[Int](90))) && (coll31(placeholder[Int](91))._2 >= coll37(i34 + placeholder[Int](92))))\n )\n } else { placeholder[Boolean](93) } } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](96))) {\n if (i30 > placeholder[Int](97)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](98) * l14 / placeholder[Long](99), placeholder[Long](100))) && (\n OUTPUTS(placeholder[Int](101)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](102)).value >= l38)\n ) && bool26\n ) && (coll15(placeholder[Int](103))._2 == placeholder[Long](104))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](105))\n ) && (box3.R9[Long].get == l20)\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n if (i30 >= placeholder[Int](110)) {\n if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n } else { placeholder[Boolean](115) }\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n (bool22 && (l27 == placeholder[Long](119))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n ) || if (bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) {\n blake2b256(INPUTS(placeholder[Int](126)).propositionBytes) == coll5(placeholder[Int](127))\n } else { placeholder[Boolean](128) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702020404000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,2,2,0,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0580def368",
"sigmaType": "SLong",
"renderedValue": "110000000"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R9": {
"serializedValue": "056a",
"sigmaType": "SLong",
"renderedValue": "53"
},
"R4": {
"serializedValue": "0e5f52696e676f3a3162623862613a6438376333383a343a313a4d3138342c313837513132352c3234392c37392c3138375133332c3132352c37392c36392e35513132352c31342c3138342c36392e35513234332c3132352c3138342c3138375a",
"sigmaType": "Coll[SByte]",
"renderedValue": "52696e676f3a3162623862613a6438376333383a343a313a4d3138342c313837513132352c3234392c37392c3138375133332c3132352c37392c36392e35513132352c31342c3138342c36392e35513234332c3132352c3138342c3138375a"
}
}
},
{
"boxId": "53696570f6718d9e155208fbade0234b87754165a89b6c204a64ae909cceaee4",
"value": 127900000,
"index": 1,
"spendingProof": null,
"outputBlockId": "5cc9e90137d91e0aa51f08855f1beb876620ef67fab0c9f5ce640efc44233d96",
"outputTransactionId": "5d3bb7228fcd5107143932e8bae5ef1a8bee3cf77dcc581ece550dac2404d476",
"outputIndex": 0,
"outputGlobalIndex": 21915272,
"outputCreatedAt": 843188,
"outputSettledAt": 843190,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 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)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 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)\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: false\n31: false\n32: 0\n33: 1000\n34: 1000000\n35: 0\n36: false\n37: false\n38: 0\n39: 4\n40: 1\n41: 1\n42: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n43: 8\n44: 2\n45: 1\n46: 100000000\n47: false\n48: false\n49: 3\n50: 5\n51: 1\n52: 0\n53: false\n54: 0\n55: 2\n56: 2\n57: 2\n58: 3\n59: 3\n60: 0\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: 0\n104: 2\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: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 1\n127: 5\n128: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n sigmaProp(box1.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && prop2 && sigmaProp((((if (!bool11) {(\n val l39 = max(l13 * l14 / placeholder[Long](26), placeholder[Long](27))\n if (coll4 == coll12) {(\n val tuple40 = coll15(placeholder[Int](28))\n ((((tuple40._1 == coll7) && (tuple40._2 == placeholder[Long](29))) && (box3.value >= l39)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l39 - l9)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool11 && (l18 == placeholder[Long](32))) {(\n val l39 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l39, l39) * l14 / placeholder[Long](33), placeholder[Long](34))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](35)) } else { placeholder[Boolean](36) }\n )} else { placeholder[Boolean](37) }) || if (bool11 && (l18 == placeholder[Long](38))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l39 = box3.R7[Long].get\n if ((l39 == placeholder[Long](39)) && (i25 > placeholder[Int](40))) {(\n val tuple40 = coll15(placeholder[Int](41))\n (tuple40._1 == placeholder[Coll[Byte]](42)) && (tuple40._2 == coll8(placeholder[Int](43)))\n )} else { (l39 == placeholder[Long](44)) || (((l39 == placeholder[Long](45)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](46))) }\n )} else { placeholder[Boolean](47) } } else { placeholder[Boolean](48) }) || if ((bool11 && (l18 != placeholder[Long](49))) && (l18 != placeholder[Long](50))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](51))) && (l27 == placeholder[Long](52)) } else { placeholder[Boolean](53) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](54))) { if (i30 > placeholder[Int](55)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](56)) == coll23(placeholder[Int](57)))) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (l27 == placeholder[Long](60))) && (coll31.size == placeholder[Int](61))) && (coll31(placeholder[Int](62))._1 == placeholder[Coll[Byte]](63))) && \n val coll39 = box3.R5[Coll[Int]].get\n val i40 = coll39(placeholder[Int](64))\n (((((((i40 <= placeholder[Int](65)) && (coll39(placeholder[Int](66)) <= placeholder[Int](67))) && (coll39(placeholder[Int](68)) == i32)) && (coll39(placeholder[Int](69)) == i33)) && (coll39(placeholder[Int](70)) == i34)) && (coll31(placeholder[Int](71))._2 >= i40 + coll39(placeholder[Int](72)) - i35 + i36.toLong)) || ((((((i40 == i35) && (coll39(placeholder[Int](73)) == i36)) && (coll39(placeholder[Int](74)) == i32 + placeholder[Int](75))) && (coll39(placeholder[Int](76)) == i33)) && (coll39(placeholder[Int](77)) == i34)) && (coll31(placeholder[Int](78))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](79) * i32 + placeholder[Int](80))))) || ((((i40 == i35) && (coll39(placeholder[Int](81)) == i36)) && (coll39(placeholder[Int](82)) == i32)) && \n val i41 = coll39(placeholder[Int](83))\n ((((i41 > placeholder[Int](84)) && (i41 != i33)) && (coll39(placeholder[Int](85)) == placeholder[Int](86))) && (coll31(placeholder[Int](87))._2 >= coll37(placeholder[Int](88)))) || (((i41 == i33) && (coll39(placeholder[Int](89)) == i34 + placeholder[Int](90))) && (coll31(placeholder[Int](91))._2 >= coll37(i34 + placeholder[Int](92))))\n )\n } else { placeholder[Boolean](93) } } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](96))) {\n if (i30 > placeholder[Int](97)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](98) * l14 / placeholder[Long](99), placeholder[Long](100))) && (\n OUTPUTS(placeholder[Int](101)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](102)).value >= l38)\n ) && bool26\n ) && (coll15(placeholder[Int](103))._2 == placeholder[Long](104))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](105))\n ) && (box3.R9[Long].get == l20)\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n if (i30 >= placeholder[Int](110)) {\n if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n } else { placeholder[Boolean](115) }\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n (bool22 && (l27 == placeholder[Long](119))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n ) || if (bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) {\n blake2b256(INPUTS(placeholder[Int](126)).propositionBytes) == coll5(placeholder[Int](127))\n } else { placeholder[Boolean](128) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100706040400020000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[3,2,2,0,1,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0580def368",
"sigmaType": "SLong",
"renderedValue": "110000000"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R9": {
"serializedValue": "0568",
"sigmaType": "SLong",
"renderedValue": "52"
},
"R4": {
"serializedValue": "0ec001466c61743a3463306532323a3030303030303a333a353a4d3232312c313539513231382c3139332c3138342c313938513135302c3230332c3132362c323030513130322c3139372c37332e352c3139305134352c3138332c33352e352c3135345132362c3132352c32392e352c39312e355133332c35382c36392c3630513130352c36322c3132362e352c35372e35513134382c35332c3137342c36312e35513230302c37302c3231322c39372e35513232342c3132352c3232312c3135395a",
"sigmaType": "Coll[SByte]",
"renderedValue": "466c61743a3463306532323a3030303030303a333a353a4d3232312c313539513231382c3139332c3138342c313938513135302c3230332c3132362c323030513130322c3139372c37332e352c3139305134352c3138332c33352e352c3135345132362c3132352c32392e352c39312e355133332c35382c36392c3630513130352c36322c3132362e352c35372e35513134382c35332c3137342c36312e35513230302c37302c3231322c39372e35513232342c3132352c3232312c3135395a"
}
}
},
{
"boxId": "17dad1ffc129cf1e9178729ede69b08880bc821ab89d1babea3ad3ec0f164219",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "9b490bc5458ec0b6f22340d189b60bd6c8f75b6e6fdb8b6328bb5b78618e2f90",
"outputTransactionId": "71390f4fe02ae8ac065c5973f5fd5594a160eb862776a971bf6494f84b4c2868",
"outputIndex": 3,
"outputGlobalIndex": 21915125,
"outputCreatedAt": 843186,
"outputSettledAt": 843188,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 3\n2: 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)\n3: 2\n4: 3\n5: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n6: 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)\n7: 0\n8: 1\n9: 1\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 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)\n14: 3\n15: 3\n16: 2\n17: 0\n18: 0\n19: 0\n20: 1\n21: 1\n22: 1\n23: 2\n24: false\n25: 3\n26: 2\n27: 1\n28: 3\n29: 0\n30: 0\n31: 2\n32: 1\n33: 1\n34: 2\n35: 2\n36: 2\n37: 2\n38: 2\n39: false\n40: false\n41: 3\n42: 0\n43: 3\n44: 0\n45: 0\n46: 1\n47: false\n48: false\n49: 3\n50: 1\n51: 3\n52: 0\n53: 0\n54: 1\n55: false\n56: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val bool2 = OUTPUTS.size > placeholder[Int](1)\n val coll3 = placeholder[Coll[Byte]](2)\n val coll4 = SELF.tokens\n val coll5 = box1.R5[Coll[Long]].get\n val l6 = coll5(placeholder[Int](3)) + coll5(placeholder[Int](4))\n val coll7 = placeholder[Coll[Byte]](5)\n val coll8 = box1.R4[Coll[Coll[Byte]]].get\n val coll9 = placeholder[Coll[Byte]](6)\n val box10 = OUTPUTS(placeholder[Int](7))\n val box11 = OUTPUTS(placeholder[Int](8))\n val l12 = coll5(placeholder[Int](9))\n val coll13 = coll8(placeholder[Int](10))\n placeholder[SigmaProp](11) || sigmaProp(\n ((((box1.tokens(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13)) && if (bool2 && (INPUTS.size == placeholder[Int](14))) {(\n val box14 = OUTPUTS(placeholder[Int](15))\n ((((((blake2b256(box14.propositionBytes) == blake2b256(SELF.propositionBytes)) && (box14.value == SELF.value)) && (box14.tokens.size == placeholder[Int](16))) && (box14.tokens(placeholder[Int](17))._1 == coll3)) && (box14.tokens(placeholder[Int](18))._2 == coll4(placeholder[Int](19))._2 - l6)) && (box14.tokens(placeholder[Int](20))._1 == coll7)) && (box14.tokens(placeholder[Int](21))._2 == coll4(placeholder[Int](22))._2 - placeholder[Long](23))\n )} else { placeholder[Boolean](24) }) && if (bool2 && (INPUTS.size == placeholder[Int](25))) {(\n val box14 = OUTPUTS(placeholder[Int](26))\n if (blake2b256(box14.propositionBytes) == coll8(placeholder[Int](27))) {(\n val coll15 = box14.tokens\n (((((((((((((((coll15.size == placeholder[Int](28)) && (coll15(placeholder[Int](29))._1 == coll9)) && (coll15(placeholder[Int](30))._2 == placeholder[Long](31))) && (coll15(placeholder[Int](32))._1 == coll3)) && (coll15(placeholder[Int](33))._2 == l6)) && (coll15(placeholder[Int](34))._1 == coll7)) && (coll15(placeholder[Int](35))._2 == placeholder[Long](36))) && (box10.R8[Long].get == box11.R8[Long].get)) && (box14.value >= placeholder[Long](37) * box10.R8[Long].get - l12)) && (box14.R4[SigmaProp].get == box10.R6[SigmaProp].get)) && (box14.R5[Long].get == box10.R9[Long].get)) && (box14.R6[Coll[Int]].get == box10.R5[Coll[Int]].get)) && (box14.value >= placeholder[Long](38) * box11.R8[Long].get - l12)) && (box14.R7[SigmaProp].get == box11.R6[SigmaProp].get)) && (box14.R8[Long].get == box11.R9[Long].get)) && (box14.R9[Coll[Int]].get == box11.R5[Coll[Int]].get)\n )} else { placeholder[Boolean](39) }\n )} else { placeholder[Boolean](40) }) && if (bool2 && (INPUTS.size == placeholder[Int](41))) { if (blake2b256(box10.propositionBytes) == coll13) {(\n val box14 = INPUTS(placeholder[Int](42))\n val l15 = box14.R8[Long].get\n ((((((((box10.value == box14.value - l15) && (box10.R4[Coll[Byte]].get == box14.R4[Coll[Byte]].get)) && (box10.R5[Coll[Int]].get == box14.R5[Coll[Int]].get)) && (box10.R6[SigmaProp].get == box14.R6[SigmaProp].get)) && (box10.R7[Long].get == placeholder[Long](43))) && (box10.R8[Long].get == l15)) && (box10.R9[Long].get == box14.R9[Long].get)) && (box10.tokens(placeholder[Int](44))._1 == coll9)) && (box10.tokens(placeholder[Int](45))._2 == placeholder[Long](46))\n )} else { placeholder[Boolean](47) } } else { placeholder[Boolean](48) }) && if (bool2 && (INPUTS.size == placeholder[Int](49))) {\n if (blake2b256(box11.propositionBytes) == coll13) {(\n val box14 = INPUTS(placeholder[Int](50))\n val l15 = box14.R8[Long].get\n (\n (\n (\n (\n (\n (\n ((box11.value == box14.value - l15) && (box11.R4[Coll[Byte]].get == box14.R4[Coll[Byte]].get)) && (\n box11.R5[Coll[Int]].get == box14.R5[Coll[Int]].get\n )\n ) && (box11.R6[SigmaProp].get == box14.R6[SigmaProp].get)\n ) && (box11.R7[Long].get == placeholder[Long](51))\n ) && (box11.R8[Long].get == l15)\n ) && (box11.R9[Long].get == box14.R9[Long].get)\n ) && (box11.tokens(placeholder[Int](52))._1 == coll9)\n ) && (box11.tokens(placeholder[Int](53))._2 == placeholder[Long](54))\n )} else { placeholder[Boolean](55) }\n } else { placeholder[Boolean](56) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
"index": 0,
"amount": 992,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
"index": 1,
"amount": 996,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "927dd8095911f824d12646c2f9d43e3941970d1da7d05e3738b4518588de953f",
"value": 1000000,
"index": 0,
"outputBlockId": "e3a0dad5e490fd39e5e0f8d93b37e86338252bc6942a32855629858316e571bc",
"outputTransactionId": "4b76231b077a20a20c30b95e87f3ea6e39dbc48c1626a297259fd34b2e7e1942",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020404eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHcXaiuZGf9XTnSSazKFXS",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110a0ac0a386010206c83380897a3c8084af5f040a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,1100000,1,3,3300,1000000,30,100000000,2,5]"
},
"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": "1a06201b8051f0c446832f07d249e5badac9f8f8e3399e145e91273e2bef08322864f0202d2bdcc9e49205cf0dd2007af4196586161d1432048ec620881ae0849c501ffc20e901784be128272745ef53e9c7dd8a85026a633dacfea5a06fd61c045b891ef220b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f20a91a29f123da8dc96a1cced234c9b2780f48a6eb58b025e9eacc0dd492f34946207de5e17f63a7777d9d42c1a8e45bd3e7d361aa422c81ae4771986ab598889068",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1b8051f0c446832f07d249e5badac9f8f8e3399e145e91273e2bef08322864f0,2d2bdcc9e49205cf0dd2007af4196586161d1432048ec620881ae0849c501ffc,e901784be128272745ef53e9c7dd8a85026a633dacfea5a06fd61c045b891ef2,b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f,a91a29f123da8dc96a1cced234c9b2780f48a6eb58b025e9eacc0dd492f34946,7de5e17f63a7777d9d42c1a8e45bd3e7d361aa422c81ae4771986ab598889068]"
}
}
}
],
"outputs": [
{
"boxId": "092767723e55f2f902eaeeb3e3d3e4c8aadeebafce401854c5bbf88473ec2b13",
"transactionId": "edb8328a88f8155486c8cdf9f7a91ac3b9a11d59046dd1a5fb7953dcc2e7b032",
"blockId": "5cc9e90137d91e0aa51f08855f1beb876620ef67fab0c9f5ce640efc44233d96",
"value": 197500000,
"index": 0,
"globalIndex": 21915283,
"creationHeight": 843188,
"settlementHeight": 843190,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 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)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 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)\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: false\n31: false\n32: 0\n33: 1000\n34: 1000000\n35: 0\n36: false\n37: false\n38: 0\n39: 4\n40: 1\n41: 1\n42: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n43: 8\n44: 2\n45: 1\n46: 100000000\n47: false\n48: false\n49: 3\n50: 5\n51: 1\n52: 0\n53: false\n54: 0\n55: 2\n56: 2\n57: 2\n58: 3\n59: 3\n60: 0\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: 0\n104: 2\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: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 1\n127: 5\n128: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n sigmaProp(box1.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && prop2 && sigmaProp((((if (!bool11) {(\n val l39 = max(l13 * l14 / placeholder[Long](26), placeholder[Long](27))\n if (coll4 == coll12) {(\n val tuple40 = coll15(placeholder[Int](28))\n ((((tuple40._1 == coll7) && (tuple40._2 == placeholder[Long](29))) && (box3.value >= l39)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l39 - l9)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool11 && (l18 == placeholder[Long](32))) {(\n val l39 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l39, l39) * l14 / placeholder[Long](33), placeholder[Long](34))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](35)) } else { placeholder[Boolean](36) }\n )} else { placeholder[Boolean](37) }) || if (bool11 && (l18 == placeholder[Long](38))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l39 = box3.R7[Long].get\n if ((l39 == placeholder[Long](39)) && (i25 > placeholder[Int](40))) {(\n val tuple40 = coll15(placeholder[Int](41))\n (tuple40._1 == placeholder[Coll[Byte]](42)) && (tuple40._2 == coll8(placeholder[Int](43)))\n )} else { (l39 == placeholder[Long](44)) || (((l39 == placeholder[Long](45)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](46))) }\n )} else { placeholder[Boolean](47) } } else { placeholder[Boolean](48) }) || if ((bool11 && (l18 != placeholder[Long](49))) && (l18 != placeholder[Long](50))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](51))) && (l27 == placeholder[Long](52)) } else { placeholder[Boolean](53) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](54))) { if (i30 > placeholder[Int](55)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](56)) == coll23(placeholder[Int](57)))) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (l27 == placeholder[Long](60))) && (coll31.size == placeholder[Int](61))) && (coll31(placeholder[Int](62))._1 == placeholder[Coll[Byte]](63))) && \n val coll39 = box3.R5[Coll[Int]].get\n val i40 = coll39(placeholder[Int](64))\n (((((((i40 <= placeholder[Int](65)) && (coll39(placeholder[Int](66)) <= placeholder[Int](67))) && (coll39(placeholder[Int](68)) == i32)) && (coll39(placeholder[Int](69)) == i33)) && (coll39(placeholder[Int](70)) == i34)) && (coll31(placeholder[Int](71))._2 >= i40 + coll39(placeholder[Int](72)) - i35 + i36.toLong)) || ((((((i40 == i35) && (coll39(placeholder[Int](73)) == i36)) && (coll39(placeholder[Int](74)) == i32 + placeholder[Int](75))) && (coll39(placeholder[Int](76)) == i33)) && (coll39(placeholder[Int](77)) == i34)) && (coll31(placeholder[Int](78))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](79) * i32 + placeholder[Int](80))))) || ((((i40 == i35) && (coll39(placeholder[Int](81)) == i36)) && (coll39(placeholder[Int](82)) == i32)) && \n val i41 = coll39(placeholder[Int](83))\n ((((i41 > placeholder[Int](84)) && (i41 != i33)) && (coll39(placeholder[Int](85)) == placeholder[Int](86))) && (coll31(placeholder[Int](87))._2 >= coll37(placeholder[Int](88)))) || (((i41 == i33) && (coll39(placeholder[Int](89)) == i34 + placeholder[Int](90))) && (coll31(placeholder[Int](91))._2 >= coll37(i34 + placeholder[Int](92))))\n )\n } else { placeholder[Boolean](93) } } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](96))) {\n if (i30 > placeholder[Int](97)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](98) * l14 / placeholder[Long](99), placeholder[Long](100))) && (\n OUTPUTS(placeholder[Int](101)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](102)).value >= l38)\n ) && bool26\n ) && (coll15(placeholder[Int](103))._2 == placeholder[Long](104))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](105))\n ) && (box3.R9[Long].get == l20)\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n if (i30 >= placeholder[Int](110)) {\n if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n } else { placeholder[Boolean](115) }\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n (bool22 && (l27 == placeholder[Long](119))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n ) || if (bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) {\n blake2b256(INPUTS(placeholder[Int](126)).propositionBytes) == coll5(placeholder[Int](127))\n } else { placeholder[Boolean](128) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702020404000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,2,2,0,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0580def368",
"sigmaType": "SLong",
"renderedValue": "110000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "056a",
"sigmaType": "SLong",
"renderedValue": "53"
},
"R4": {
"serializedValue": "0e5f52696e676f3a3162623862613a6438376333383a343a313a4d3138342c313837513132352c3234392c37392c3138375133332c3132352c37392c36392e35513132352c31342c3138342c36392e35513234332c3132352c3138342c3138375a",
"sigmaType": "Coll[SByte]",
"renderedValue": "52696e676f3a3162623862613a6438376333383a343a313a4d3138342c313837513132352c3234392c37392c3138375133332c3132352c37392c36392e35513132352c31342c3138342c36392e35513234332c3132352c3138342c3138375a"
}
},
"spentTransactionId": "3f2e22ca26670ba48a839a580ace9b2c5b342f35628f492e5288caa49ff7f177",
"mainChain": true
},
{
"boxId": "d7a8341f003abd8ca1730d93c994ea67e6a837389313c8d6df6bfd14643f76a4",
"transactionId": "edb8328a88f8155486c8cdf9f7a91ac3b9a11d59046dd1a5fb7953dcc2e7b032",
"blockId": "5cc9e90137d91e0aa51f08855f1beb876620ef67fab0c9f5ce640efc44233d96",
"value": 17900000,
"index": 1,
"globalIndex": 21915284,
"creationHeight": 843188,
"settlementHeight": 843190,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 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)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 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)\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: false\n31: false\n32: 0\n33: 1000\n34: 1000000\n35: 0\n36: false\n37: false\n38: 0\n39: 4\n40: 1\n41: 1\n42: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n43: 8\n44: 2\n45: 1\n46: 100000000\n47: false\n48: false\n49: 3\n50: 5\n51: 1\n52: 0\n53: false\n54: 0\n55: 2\n56: 2\n57: 2\n58: 3\n59: 3\n60: 0\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: 0\n104: 2\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: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 1\n127: 5\n128: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n sigmaProp(box1.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && prop2 && sigmaProp((((if (!bool11) {(\n val l39 = max(l13 * l14 / placeholder[Long](26), placeholder[Long](27))\n if (coll4 == coll12) {(\n val tuple40 = coll15(placeholder[Int](28))\n ((((tuple40._1 == coll7) && (tuple40._2 == placeholder[Long](29))) && (box3.value >= l39)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l39 - l9)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool11 && (l18 == placeholder[Long](32))) {(\n val l39 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l39, l39) * l14 / placeholder[Long](33), placeholder[Long](34))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](35)) } else { placeholder[Boolean](36) }\n )} else { placeholder[Boolean](37) }) || if (bool11 && (l18 == placeholder[Long](38))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l39 = box3.R7[Long].get\n if ((l39 == placeholder[Long](39)) && (i25 > placeholder[Int](40))) {(\n val tuple40 = coll15(placeholder[Int](41))\n (tuple40._1 == placeholder[Coll[Byte]](42)) && (tuple40._2 == coll8(placeholder[Int](43)))\n )} else { (l39 == placeholder[Long](44)) || (((l39 == placeholder[Long](45)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](46))) }\n )} else { placeholder[Boolean](47) } } else { placeholder[Boolean](48) }) || if ((bool11 && (l18 != placeholder[Long](49))) && (l18 != placeholder[Long](50))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](51))) && (l27 == placeholder[Long](52)) } else { placeholder[Boolean](53) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](54))) { if (i30 > placeholder[Int](55)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](56)) == coll23(placeholder[Int](57)))) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (l27 == placeholder[Long](60))) && (coll31.size == placeholder[Int](61))) && (coll31(placeholder[Int](62))._1 == placeholder[Coll[Byte]](63))) && \n val coll39 = box3.R5[Coll[Int]].get\n val i40 = coll39(placeholder[Int](64))\n (((((((i40 <= placeholder[Int](65)) && (coll39(placeholder[Int](66)) <= placeholder[Int](67))) && (coll39(placeholder[Int](68)) == i32)) && (coll39(placeholder[Int](69)) == i33)) && (coll39(placeholder[Int](70)) == i34)) && (coll31(placeholder[Int](71))._2 >= i40 + coll39(placeholder[Int](72)) - i35 + i36.toLong)) || ((((((i40 == i35) && (coll39(placeholder[Int](73)) == i36)) && (coll39(placeholder[Int](74)) == i32 + placeholder[Int](75))) && (coll39(placeholder[Int](76)) == i33)) && (coll39(placeholder[Int](77)) == i34)) && (coll31(placeholder[Int](78))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](79) * i32 + placeholder[Int](80))))) || ((((i40 == i35) && (coll39(placeholder[Int](81)) == i36)) && (coll39(placeholder[Int](82)) == i32)) && \n val i41 = coll39(placeholder[Int](83))\n ((((i41 > placeholder[Int](84)) && (i41 != i33)) && (coll39(placeholder[Int](85)) == placeholder[Int](86))) && (coll31(placeholder[Int](87))._2 >= coll37(placeholder[Int](88)))) || (((i41 == i33) && (coll39(placeholder[Int](89)) == i34 + placeholder[Int](90))) && (coll31(placeholder[Int](91))._2 >= coll37(i34 + placeholder[Int](92))))\n )\n } else { placeholder[Boolean](93) } } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](96))) {\n if (i30 > placeholder[Int](97)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](98) * l14 / placeholder[Long](99), placeholder[Long](100))) && (\n OUTPUTS(placeholder[Int](101)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](102)).value >= l38)\n ) && bool26\n ) && (coll15(placeholder[Int](103))._2 == placeholder[Long](104))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](105))\n ) && (box3.R9[Long].get == l20)\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n if (i30 >= placeholder[Int](110)) {\n if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n } else { placeholder[Boolean](115) }\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n (bool22 && (l27 == placeholder[Long](119))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n ) || if (bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) {\n blake2b256(INPUTS(placeholder[Int](126)).propositionBytes) == coll5(placeholder[Int](127))\n } else { placeholder[Boolean](128) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100706040400020000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[3,2,2,0,1,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0580def368",
"sigmaType": "SLong",
"renderedValue": "110000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "0568",
"sigmaType": "SLong",
"renderedValue": "52"
},
"R4": {
"serializedValue": "0ec001466c61743a3463306532323a3030303030303a333a353a4d3232312c313539513231382c3139332c3138342c313938513135302c3230332c3132362c323030513130322c3139372c37332e352c3139305134352c3138332c33352e352c3135345132362c3132352c32392e352c39312e355133332c35382c36392c3630513130352c36322c3132362e352c35372e35513134382c35332c3137342c36312e35513230302c37302c3231322c39372e35513232342c3132352c3232312c3135395a",
"sigmaType": "Coll[SByte]",
"renderedValue": "466c61743a3463306532323a3030303030303a333a353a4d3232312c313539513231382c3139332c3138342c313938513135302c3230332c3132362c323030513130322c3139372c37332e352c3139305134352c3138332c33352e352c3135345132362c3132352c32392e352c39312e355133332c35382c36392c3630513130352c36322c3132362e352c35372e35513134382c35332c3137342c36312e35513230302c37302c3231322c39372e35513232342c3132352c3232312c3135395a"
}
},
"spentTransactionId": "3f2e22ca26670ba48a839a580ace9b2c5b342f35628f492e5288caa49ff7f177",
"mainChain": true
},
{
"boxId": "e6acccb0a4ba42e88a16517888d51aec8d642fbdde6cde6de64c4728a215a639",
"transactionId": "edb8328a88f8155486c8cdf9f7a91ac3b9a11d59046dd1a5fb7953dcc2e7b032",
"blockId": "5cc9e90137d91e0aa51f08855f1beb876620ef67fab0c9f5ce640efc44233d96",
"value": 218900000,
"index": 2,
"globalIndex": 21915285,
"creationHeight": 843188,
"settlementHeight": 843190,
"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: 6\n16: 2\n17: 8\n18: 1\n19: 2\n20: 5\n21: 5\n22: 2\n23: 1\n24: 4\n25: 1\n26: 2\n27: 4\n28: 3\n29: 5\n30: 0\n31: 6\n32: 2\n33: 8\n34: 1\n35: 2\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: 0\n56: 1\n57: 2\n58: 2\n59: 6\n60: 1000\n61: 1000000\n62: 1\n63: 4\n64: 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)\n65: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n66: 3\n67: 2\n68: 0\n69: 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)\n70: 0\n71: 0\n72: false\n73: 0\n74: 0\n75: false\n76: 2\n77: 2000000\n78: 2\n79: 2000000\n80: 2\n81: 2\n82: 0\n83: 1\n84: 1\n85: 1\n86: 0\n87: 0\n88: false\n89: 3\n90: 2\n91: 0\n92: 1\n93: 1\n94: 1\n95: 0\n96: 0\n97: false\n98: 0\n99: 1\n100: 4\n101: 5\n102: 6\n103: 2\n104: 1\n105: 3\n106: 1\n107: 2\n108: 1\n109: 3\n110: false\n111: 0\n112: 1\n113: 4\n114: 5\n115: 6\n116: 2\n117: 1\n118: 3\n119: 1\n120: 2\n121: 1\n122: 3\n123: false\n124: 4\n125: 4\n126: 0\n127: 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\n val coll4 = coll3(placeholder[Int](2))\n val prop5 = SELF.R4[SigmaProp].get\n val box6 = OUTPUTS(placeholder[Int](3))\n val prop7 = SELF.R7[SigmaProp].get\n val coll8 = CONTEXT.headers(placeholder[Int](4)).id\n val bi9 = byteArrayToBigInt(coll8.slice(placeholder[Int](5), placeholder[Int](6)))\n val bi10 = placeholder[BigInt](7)\n val coll11 = SELF.R9[Coll[Int]].get\n val i12 = coll11(placeholder[Int](8))\n val i13 = coll11(placeholder[Int](9))\n val coll14 = box1.R6[Coll[Long]].get\n val i15 = coll11(placeholder[Int](10))\n val i16 = placeholder[Int](11) * i15\n val i17 = coll11(placeholder[Int](12))\n val bool18 = i17 == placeholder[Int](13)\n val coll19 = box1.R8[Coll[Int]].get\n val i20 = coll19(placeholder[Int](14))\n val i21 = coll11(placeholder[Int](15))\n val i22 = placeholder[Int](16) + placeholder[Int](17) * i17 - placeholder[Int](18) + placeholder[Int](19) * i21\n val l23 = placeholder[Int](20) * i12 + placeholder[Int](21) * i13.toLong + coll14(i16 + placeholder[Int](22)) + if (bool18) { i20 } else {\n coll19(i22 + placeholder[Int](23))\n }.toLong\n val coll24 = box1.R5[Coll[Long]].get\n val l25 = coll24(placeholder[Int](24))\n val coll26 = SELF.R6[Coll[Int]].get\n val i27 = coll26(placeholder[Int](25))\n val i28 = coll26(placeholder[Int](26))\n val i29 = coll26(placeholder[Int](27))\n val i30 = placeholder[Int](28) * i29\n val i31 = coll26(placeholder[Int](29))\n val bool32 = i31 == placeholder[Int](30)\n val i33 = coll26(placeholder[Int](31))\n val i34 = placeholder[Int](32) + placeholder[Int](33) * i31 - placeholder[Int](34) + placeholder[Int](35) * i33\n val l35 = placeholder[Int](36) * i27 + placeholder[Int](37) * i28.toLong + coll14(i30 + placeholder[Int](38)) + if (bool32) { i20 } else {\n coll19(i34 + placeholder[Int](39))\n }.toLong\n val i36 = coll11(placeholder[Int](40))\n val i37 = coll11(placeholder[Int](41))\n val i38 = coll19(placeholder[Int](42))\n val l39 = placeholder[Int](43) * i36 + placeholder[Int](44) * i13 + placeholder[Int](45) * i37.toLong + coll14(i16 + placeholder[Int](46)) + if (bool18) {\n i38\n } else { coll19(i22) }.toLong\n val i40 = coll26(placeholder[Int](47))\n val i41 = coll26(placeholder[Int](48))\n val l42 = placeholder[Int](49) * i40 + placeholder[Int](50) * i28 + placeholder[Int](51) * i41.toLong + coll14(i30 + placeholder[Int](52)) + if (bool32) {\n i38\n } else { coll19(i34) }.toLong\n val bi43 = max(max(bi9, bi10 * bi9), min(l23 + l25, l35).toBigInt) + min(l39 + l25, l42).toBigInt\n val bi44 = byteArrayToBigInt(coll8.slice(placeholder[Int](53), placeholder[Int](54)))\n val bi45 = max(max(bi44, bi10 * bi44), min(l35 + l25, l23).toBigInt) + min(l42 + l25, l39).toBigInt\n val bool46 = bi43 > bi45\n val l47 = INPUTS(placeholder[Int](55)).value\n val l48 = coll24(placeholder[Int](56))\n val l49 = placeholder[Long](57) * SELF.value + l48 / placeholder[Long](58)\n val l50 = max(l49 * coll24(placeholder[Int](59)) / placeholder[Long](60), placeholder[Long](61))\n val l51 = INPUTS(placeholder[Int](62)).value\n val bool52 = bi43 <= bi45\n val bool53 = OUTPUTS.size > placeholder[Int](63)\n val coll54 = placeholder[Coll[Byte]](64)\n val coll55 = placeholder[Coll[Byte]](65)\n val l56 = coll24(placeholder[Int](66))\n val l57 = coll24(placeholder[Int](67))\n val opt58 = box2.R5[Coll[Int]]\n val opt59 = box6.R5[Coll[Int]]\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](68))._1 == placeholder[Coll[Byte]](69), if (blake2b256(box2.propositionBytes) == coll4) {\n (((box2.R6[SigmaProp].get == prop5) && (box2.R7[Long].get == placeholder[Long](70))) && (box2.R8[Long].get == placeholder[Long](71))) && (\n box2.R9[Long].get == SELF.R5[Long].get\n )\n } else { placeholder[Boolean](72) }, if (blake2b256(box6.propositionBytes) == coll4) {\n (((box6.R6[SigmaProp].get == prop7) && (box6.R7[Long].get == placeholder[Long](73))) && (box6.R8[Long].get == placeholder[Long](74))) && (\n box6.R9[Long].get == SELF.R8[Long].get\n )\n } else { placeholder[Boolean](75) }, anyOf(\n Coll[Boolean](\n (bool46 && (box2.value == l47 + l49 - placeholder[Long](76) * l48 - placeholder[Long](77) - l50)) && (box6.value == l51), (\n bool52 && (box2.value == l47)\n ) && (box6.value == l51 + l49 - placeholder[Long](78) * l48 - placeholder[Long](79) - l50)\n )\n ), if (bool53) {(\n val box60 = OUTPUTS(placeholder[Int](80))\n (\n (\n (\n ((box60.propositionBytes == prop5.propBytes) && (box60.tokens.size == placeholder[Int](81))) && (\n box60.tokens(placeholder[Int](82))._1 == coll54\n )\n ) && (box60.tokens(placeholder[Int](83))._1 == coll55)\n ) && (box60.tokens(placeholder[Int](84))._2 == placeholder[Long](85))\n ) && ((bool46 && (box60.tokens(placeholder[Int](86))._2 == l56)) || (bool52 && (box60.tokens(placeholder[Int](87))._2 == l57)))\n )} else { placeholder[Boolean](88) }, if (bool53) {(\n val box60 = OUTPUTS(placeholder[Int](89))\n (\n (\n (\n ((box60.propositionBytes == prop7.propBytes) && (box60.tokens.size == placeholder[Int](90))) && (\n box60.tokens(placeholder[Int](91))._1 == coll54\n )\n ) && (box60.tokens(placeholder[Int](92))._1 == coll55)\n ) && (box60.tokens(placeholder[Int](93))._2 == placeholder[Long](94))\n ) && ((bool46 && (box60.tokens(placeholder[Int](95))._2 == l57)) || (bool52 && (box60.tokens(placeholder[Int](96))._2 == l56)))\n )} else { placeholder[Boolean](97) }, if (opt58.isDefined) {(\n val coll60 = opt58.get\n (\n (\n (((coll60(placeholder[Int](98)) == i40) && (coll60(placeholder[Int](99)) == i27)) && (coll60(placeholder[Int](100)) == i29)) && (\n coll60(placeholder[Int](101)) == i31\n )\n ) && (coll60(placeholder[Int](102)) == i33)\n ) && (\n ((bool46 && (coll60(placeholder[Int](103)) == i28 + placeholder[Int](104))) && (coll60(placeholder[Int](105)) == i41 + placeholder[Int](106))) || (\n (bool52 && (coll60(placeholder[Int](107)) == i28 + placeholder[Int](108))) && (coll60(placeholder[Int](109)) == i41)\n )\n )\n )} else { placeholder[Boolean](110) }, if (opt59.isDefined) {(\n val coll60 = opt59.get\n (\n (\n (((coll60(placeholder[Int](111)) == i36) && (coll60(placeholder[Int](112)) == i12)) && (coll60(placeholder[Int](113)) == i15)) && (\n coll60(placeholder[Int](114)) == i17\n )\n ) && (coll60(placeholder[Int](115)) == i21)\n ) && (\n ((bool52 && (coll60(placeholder[Int](116)) == i13 + placeholder[Int](117))) && (coll60(placeholder[Int](118)) == i37 + placeholder[Int](119))) || (\n (bool46 && (coll60(placeholder[Int](120)) == i13 + placeholder[Int](121))) && (coll60(placeholder[Int](122)) == i37)\n )\n )\n )} else { placeholder[Boolean](123) }, if (bool53) {(\n val box60 = OUTPUTS(placeholder[Int](124))\n ((blake2b256(box60.propositionBytes) == coll3(placeholder[Int](125))) && (box60.value >= l50)) && (box60.tokens.size == placeholder[Int](126))\n )} else { placeholder[Boolean](127) }\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"
},
{
"tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
"index": 2,
"amount": 2,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "056a",
"sigmaType": "SLong",
"renderedValue": "53"
},
"R6": {
"serializedValue": "100702020404000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,2,2,0,0,0]"
},
"R8": {
"serializedValue": "0568",
"sigmaType": "SLong",
"renderedValue": "52"
},
"R7": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R9": {
"serializedValue": "100706040400020000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[3,2,2,0,1,0,0]"
},
"R4": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
}
},
"spentTransactionId": "3f2e22ca26670ba48a839a580ace9b2c5b342f35628f492e5288caa49ff7f177",
"mainChain": true
},
{
"boxId": "efb0ff27006658709ae362cf57e40baba75b3926ab3881804b6fb746e127292a",
"transactionId": "edb8328a88f8155486c8cdf9f7a91ac3b9a11d59046dd1a5fb7953dcc2e7b032",
"blockId": "5cc9e90137d91e0aa51f08855f1beb876620ef67fab0c9f5ce640efc44233d96",
"value": 1000000,
"index": 3,
"globalIndex": 21915286,
"creationHeight": 843188,
"settlementHeight": 843190,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 3\n2: 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)\n3: 2\n4: 3\n5: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n6: 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)\n7: 0\n8: 1\n9: 1\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 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)\n14: 3\n15: 3\n16: 2\n17: 0\n18: 0\n19: 0\n20: 1\n21: 1\n22: 1\n23: 2\n24: false\n25: 3\n26: 2\n27: 1\n28: 3\n29: 0\n30: 0\n31: 2\n32: 1\n33: 1\n34: 2\n35: 2\n36: 2\n37: 2\n38: 2\n39: false\n40: false\n41: 3\n42: 0\n43: 3\n44: 0\n45: 0\n46: 1\n47: false\n48: false\n49: 3\n50: 1\n51: 3\n52: 0\n53: 0\n54: 1\n55: false\n56: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val bool2 = OUTPUTS.size > placeholder[Int](1)\n val coll3 = placeholder[Coll[Byte]](2)\n val coll4 = SELF.tokens\n val coll5 = box1.R5[Coll[Long]].get\n val l6 = coll5(placeholder[Int](3)) + coll5(placeholder[Int](4))\n val coll7 = placeholder[Coll[Byte]](5)\n val coll8 = box1.R4[Coll[Coll[Byte]]].get\n val coll9 = placeholder[Coll[Byte]](6)\n val box10 = OUTPUTS(placeholder[Int](7))\n val box11 = OUTPUTS(placeholder[Int](8))\n val l12 = coll5(placeholder[Int](9))\n val coll13 = coll8(placeholder[Int](10))\n placeholder[SigmaProp](11) || sigmaProp(\n ((((box1.tokens(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13)) && if (bool2 && (INPUTS.size == placeholder[Int](14))) {(\n val box14 = OUTPUTS(placeholder[Int](15))\n ((((((blake2b256(box14.propositionBytes) == blake2b256(SELF.propositionBytes)) && (box14.value == SELF.value)) && (box14.tokens.size == placeholder[Int](16))) && (box14.tokens(placeholder[Int](17))._1 == coll3)) && (box14.tokens(placeholder[Int](18))._2 == coll4(placeholder[Int](19))._2 - l6)) && (box14.tokens(placeholder[Int](20))._1 == coll7)) && (box14.tokens(placeholder[Int](21))._2 == coll4(placeholder[Int](22))._2 - placeholder[Long](23))\n )} else { placeholder[Boolean](24) }) && if (bool2 && (INPUTS.size == placeholder[Int](25))) {(\n val box14 = OUTPUTS(placeholder[Int](26))\n if (blake2b256(box14.propositionBytes) == coll8(placeholder[Int](27))) {(\n val coll15 = box14.tokens\n (((((((((((((((coll15.size == placeholder[Int](28)) && (coll15(placeholder[Int](29))._1 == coll9)) && (coll15(placeholder[Int](30))._2 == placeholder[Long](31))) && (coll15(placeholder[Int](32))._1 == coll3)) && (coll15(placeholder[Int](33))._2 == l6)) && (coll15(placeholder[Int](34))._1 == coll7)) && (coll15(placeholder[Int](35))._2 == placeholder[Long](36))) && (box10.R8[Long].get == box11.R8[Long].get)) && (box14.value >= placeholder[Long](37) * box10.R8[Long].get - l12)) && (box14.R4[SigmaProp].get == box10.R6[SigmaProp].get)) && (box14.R5[Long].get == box10.R9[Long].get)) && (box14.R6[Coll[Int]].get == box10.R5[Coll[Int]].get)) && (box14.value >= placeholder[Long](38) * box11.R8[Long].get - l12)) && (box14.R7[SigmaProp].get == box11.R6[SigmaProp].get)) && (box14.R8[Long].get == box11.R9[Long].get)) && (box14.R9[Coll[Int]].get == box11.R5[Coll[Int]].get)\n )} else { placeholder[Boolean](39) }\n )} else { placeholder[Boolean](40) }) && if (bool2 && (INPUTS.size == placeholder[Int](41))) { if (blake2b256(box10.propositionBytes) == coll13) {(\n val box14 = INPUTS(placeholder[Int](42))\n val l15 = box14.R8[Long].get\n ((((((((box10.value == box14.value - l15) && (box10.R4[Coll[Byte]].get == box14.R4[Coll[Byte]].get)) && (box10.R5[Coll[Int]].get == box14.R5[Coll[Int]].get)) && (box10.R6[SigmaProp].get == box14.R6[SigmaProp].get)) && (box10.R7[Long].get == placeholder[Long](43))) && (box10.R8[Long].get == l15)) && (box10.R9[Long].get == box14.R9[Long].get)) && (box10.tokens(placeholder[Int](44))._1 == coll9)) && (box10.tokens(placeholder[Int](45))._2 == placeholder[Long](46))\n )} else { placeholder[Boolean](47) } } else { placeholder[Boolean](48) }) && if (bool2 && (INPUTS.size == placeholder[Int](49))) {\n if (blake2b256(box11.propositionBytes) == coll13) {(\n val box14 = INPUTS(placeholder[Int](50))\n val l15 = box14.R8[Long].get\n (\n (\n (\n (\n (\n (\n ((box11.value == box14.value - l15) && (box11.R4[Coll[Byte]].get == box14.R4[Coll[Byte]].get)) && (\n box11.R5[Coll[Int]].get == box14.R5[Coll[Int]].get\n )\n ) && (box11.R6[SigmaProp].get == box14.R6[SigmaProp].get)\n ) && (box11.R7[Long].get == placeholder[Long](51))\n ) && (box11.R8[Long].get == l15)\n ) && (box11.R9[Long].get == box14.R9[Long].get)\n ) && (box11.tokens(placeholder[Int](52))._1 == coll9)\n ) && (box11.tokens(placeholder[Int](53))._2 == placeholder[Long](54))\n )} else { placeholder[Boolean](55) }\n } else { placeholder[Boolean](56) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
"index": 0,
"amount": 988,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
"index": 1,
"amount": 994,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "71c20c71703225982317a283342b81d19c40deea54603be426462bba77f2c484",
"mainChain": true
},
{
"boxId": "f3c3597481ab5e7e6a7f7c083fae9b6fb8ef6c0a8a8acb7040aa294a3f9a75f3",
"transactionId": "edb8328a88f8155486c8cdf9f7a91ac3b9a11d59046dd1a5fb7953dcc2e7b032",
"blockId": "5cc9e90137d91e0aa51f08855f1beb876620ef67fab0c9f5ce640efc44233d96",
"value": 1100000,
"index": 4,
"globalIndex": 21915287,
"creationHeight": 843188,
"settlementHeight": 843190,
"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": "387a54f852dcd8fe09b789a709395726f3e7711bd23e1be025a5cea925de23a2",
"mainChain": true
}
],
"size": 7334,
"isUnconfirmed": false
}