Transaction
ID: c8229a4844...ada3
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.3645 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
5 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.3645 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 894,738
Total coins transferred: 5.37 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000352 ERG
Raw Transaction Data
{
"id": "c8229a48442aa86183c72aecb8e142b0556d7ddff619b17ca89afde72b06ada3",
"blockId": "148a8088983ba6f0caa5e69495442d2a19a9fe1afe29ec66249cc31cea6c0bb6",
"inclusionHeight": 864736,
"timestamp": 1667229472282,
"index": 10,
"globalIndex": 4251627,
"numConfirmations": 894738,
"inputs": [
{
"boxId": "30f68003882e35d198c69271d52e16712f02e98032c8fb906c016af4d32797cb",
"value": 364500000,
"index": 0,
"spendingProof": "884e519a42e512bc7e1dea761c6e099259a44a27a84e6fe27f6dff9ba834aff527ba50c586fff9c3b8b4d550d996eb95b2b6bfe6ce935c99",
"outputBlockId": "148a8088983ba6f0caa5e69495442d2a19a9fe1afe29ec66249cc31cea6c0bb6",
"outputTransactionId": "7e086005efec695d46036e47beaa0ec16c3fe57fa6f6c47d77ba1810f8b6d4ab",
"outputIndex": 0,
"outputGlobalIndex": 23147961,
"outputCreatedAt": 864733,
"outputSettledAt": 864736,
"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: 0\n26: 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)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-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)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: false\n55: 0\n56: 2\n57: 2\n58: 2\n59: 3\n60: 3\n61: 0\n62: 1\n63: 0\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: 0\n66: 1000\n67: 1\n68: 1000\n69: 4\n70: 5\n71: 6\n72: 0\n73: 1\n74: 1\n75: 4\n76: 1\n77: 5\n78: 6\n79: 0\n80: 3\n81: 1\n82: 1\n83: 4\n84: 5\n85: 0\n86: 6\n87: 0\n88: 0\n89: 0\n90: 6\n91: 1\n92: 0\n93: 1\n94: false\n95: false\n96: false\n97: 2\n98: 3\n99: 2\n100: 1000\n101: 1000000\n102: 2\n103: 2\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: 2\n127: 1\n128: 5\n129: 1\n130: 4\n131: 5\n132: 1\n133: 5\n134: 0\n135: 2\n136: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n val l39 = coll15(placeholder[Int](24))._2\n val bool40 = box3.R9[Long].get == l20\n sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n if (coll4 == coll12) {(\n val tuple42 = coll15(placeholder[Int](29))\n ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n )} else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n val l41 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l41 = box3.R7[Long].get\n if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n val tuple42 = coll15(placeholder[Int](42))\n (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53)) } else { placeholder[Boolean](54) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](55))) { if (i30 > placeholder[Int](56)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](57)) == coll23(placeholder[Int](58)))) && (box3.R5[Coll[Int]].get(placeholder[Int](59)) == coll23(placeholder[Int](60)))) && (l27 == placeholder[Long](61))) && (coll31.size == placeholder[Int](62))) && (coll31(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64))) && \n val coll41 = box3.R5[Coll[Int]].get\n val i42 = coll41(placeholder[Int](65))\n (((((((i42 <= placeholder[Int](66)) && (coll41(placeholder[Int](67)) <= placeholder[Int](68))) && (coll41(placeholder[Int](69)) == i32)) && (coll41(placeholder[Int](70)) == i33)) && (coll41(placeholder[Int](71)) == i34)) && (coll31(placeholder[Int](72))._2 >= i42 + coll41(placeholder[Int](73)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](74)) == i36)) && (coll41(placeholder[Int](75)) == i32 + placeholder[Int](76))) && (coll41(placeholder[Int](77)) == i33)) && (coll41(placeholder[Int](78)) == i34)) && (coll31(placeholder[Int](79))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](80) * i32 + placeholder[Int](81))))) || ((((i42 == i35) && (coll41(placeholder[Int](82)) == i36)) && (coll41(placeholder[Int](83)) == i32)) && \n val i43 = coll41(placeholder[Int](84))\n ((((i43 > placeholder[Int](85)) && (i43 != i33)) && (coll41(placeholder[Int](86)) == placeholder[Int](87))) && (coll31(placeholder[Int](88))._2 >= coll37(placeholder[Int](89)))) || (((i43 == i33) && (coll41(placeholder[Int](90)) == i34 + placeholder[Int](91))) && (coll31(placeholder[Int](92))._2 >= coll37(i34 + placeholder[Int](93))))\n )\n } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](97))) {\n if (i30 > placeholder[Int](98)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](99) * l14 / placeholder[Long](100), placeholder[Long](101))) && (\n OUTPUTS(placeholder[Int](102)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](103)).value >= l38)\n ) && bool26\n ) && (l39 == placeholder[Long](104))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](105))\n ) && bool40\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)))) && (INPUTS.size == placeholder[Int](126))) {\n (\n (\n (\n (((blake2b256(INPUTS(placeholder[Int](127)).propositionBytes) == coll5(placeholder[Int](128))) && bool40) && (l39 >= placeholder[Long](129))) && (\n box3.R4[Coll[Byte]].get == coll21\n )\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (box3.R6[SigmaProp].get == prop2)\n ) && (\n (((l18 == placeholder[Long](130)) && (l27 == placeholder[Long](131))) && (l39 == placeholder[Long](132))) || (\n ((l18 == placeholder[Long](133)) && (l27 == placeholder[Long](134))) && (l39 == placeholder[Long](135))\n )\n )\n } else { placeholder[Boolean](136) }\n )\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1007160c0c04000602",
"sigmaType": "Coll[SInt]",
"renderedValue": "[11,6,6,2,0,3,1]"
},
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"renderedValue": "02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e"
},
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"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
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"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
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"renderedValue": "63"
},
"R4": {
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"renderedValue": "4c656d6f6e3a6335623261633a3462613130393a333a343a4d3232372c313437513230392c3136392c3139322e352c3138332e35513137362c3139382c3135362c3230382e35513133362c3231392c3131342e352c3231345139332c3230392c36332e352c3230375133342c3230352c33332e352c3137362e355133332c3134382c33342c3132352e355133352c3130332c34352e352c38332e355135362c36342c37322c34352e355138382c32372c3131332e352c31372e35513133392c382c3136312c32342e35513138332c34312c3230372c3535513233312c36392c3233382c3937513234352c3132352c3232372c3134375a"
}
}
},
{
"boxId": "3e3fefd9cb4546019afc9bca67c36c016c873fc30e013b8e8ef0333c23fe5476",
"value": 5001657123,
"index": 1,
"spendingProof": "3d86e6047f105dc515b747208f4657502c4e904438a47cd4766afcae29a26f7f86c43812151f91681e67732cbf6163af80f94905be5a686f",
"outputBlockId": "d74747cdba848784222f007b6aa00d2880f202bce872050edd150c4fede3c5b5",
"outputTransactionId": "c5951b0c58bf3e6e5f7022da5cee7bbafd02ba580472135bec0172a7a15e5c1a",
"outputIndex": 1,
"outputGlobalIndex": 23147835,
"outputCreatedAt": 864733,
"outputSettledAt": 864735,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
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"index": 0,
"amount": 80,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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{
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"type": "EIP-004"
},
{
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},
{
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},
{
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],
"additionalRegisters": {}
}
],
"dataInputs": [
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}
}
],
"outputs": [
{
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"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: 0\n26: 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)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-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)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: false\n55: 0\n56: 2\n57: 2\n58: 2\n59: 3\n60: 3\n61: 0\n62: 1\n63: 0\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: 0\n66: 1000\n67: 1\n68: 1000\n69: 4\n70: 5\n71: 6\n72: 0\n73: 1\n74: 1\n75: 4\n76: 1\n77: 5\n78: 6\n79: 0\n80: 3\n81: 1\n82: 1\n83: 4\n84: 5\n85: 0\n86: 6\n87: 0\n88: 0\n89: 0\n90: 6\n91: 1\n92: 0\n93: 1\n94: false\n95: false\n96: false\n97: 2\n98: 3\n99: 2\n100: 1000\n101: 1000000\n102: 2\n103: 2\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: 2\n127: 1\n128: 5\n129: 1\n130: 4\n131: 5\n132: 1\n133: 5\n134: 0\n135: 2\n136: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n val l39 = coll15(placeholder[Int](24))._2\n val bool40 = box3.R9[Long].get == l20\n sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n if (coll4 == coll12) {(\n val tuple42 = coll15(placeholder[Int](29))\n ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n )} else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n val l41 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l41 = box3.R7[Long].get\n if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n val tuple42 = coll15(placeholder[Int](42))\n (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53)) } else { placeholder[Boolean](54) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](55))) { if (i30 > placeholder[Int](56)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](57)) == coll23(placeholder[Int](58)))) && (box3.R5[Coll[Int]].get(placeholder[Int](59)) == coll23(placeholder[Int](60)))) && (l27 == placeholder[Long](61))) && (coll31.size == placeholder[Int](62))) && (coll31(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64))) && \n val coll41 = box3.R5[Coll[Int]].get\n val i42 = coll41(placeholder[Int](65))\n (((((((i42 <= placeholder[Int](66)) && (coll41(placeholder[Int](67)) <= placeholder[Int](68))) && (coll41(placeholder[Int](69)) == i32)) && (coll41(placeholder[Int](70)) == i33)) && (coll41(placeholder[Int](71)) == i34)) && (coll31(placeholder[Int](72))._2 >= i42 + coll41(placeholder[Int](73)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](74)) == i36)) && (coll41(placeholder[Int](75)) == i32 + placeholder[Int](76))) && (coll41(placeholder[Int](77)) == i33)) && (coll41(placeholder[Int](78)) == i34)) && (coll31(placeholder[Int](79))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](80) * i32 + placeholder[Int](81))))) || ((((i42 == i35) && (coll41(placeholder[Int](82)) == i36)) && (coll41(placeholder[Int](83)) == i32)) && \n val i43 = coll41(placeholder[Int](84))\n ((((i43 > placeholder[Int](85)) && (i43 != i33)) && (coll41(placeholder[Int](86)) == placeholder[Int](87))) && (coll31(placeholder[Int](88))._2 >= coll37(placeholder[Int](89)))) || (((i43 == i33) && (coll41(placeholder[Int](90)) == i34 + placeholder[Int](91))) && (coll31(placeholder[Int](92))._2 >= coll37(i34 + placeholder[Int](93))))\n )\n } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](97))) {\n if (i30 > placeholder[Int](98)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](99) * l14 / placeholder[Long](100), placeholder[Long](101))) && (\n OUTPUTS(placeholder[Int](102)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](103)).value >= l38)\n ) && bool26\n ) && (l39 == placeholder[Long](104))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](105))\n ) && bool40\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)))) && (INPUTS.size == placeholder[Int](126))) {\n (\n (\n (\n (((blake2b256(INPUTS(placeholder[Int](127)).propositionBytes) == coll5(placeholder[Int](128))) && bool40) && (l39 >= placeholder[Long](129))) && (\n box3.R4[Coll[Byte]].get == coll21\n )\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (box3.R6[SigmaProp].get == prop2)\n ) && (\n (((l18 == placeholder[Long](130)) && (l27 == placeholder[Long](131))) && (l39 == placeholder[Long](132))) || (\n ((l18 == placeholder[Long](133)) && (l27 == placeholder[Long](134))) && (l39 == placeholder[Long](135))\n )\n )\n } else { placeholder[Boolean](136) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1007160c0c04000602",
"sigmaType": "Coll[SInt]",
"renderedValue": "[11,6,6,2,0,3,1]"
},
"R6": {
"serializedValue": "08cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
"sigmaType": "SSigmaProp",
"renderedValue": "02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R9": {
"serializedValue": "057e",
"sigmaType": "SLong",
"renderedValue": "63"
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