Transaction
ID: 2c0bc1a2ca...32aa
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
12.52 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
4.31 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:
12.42 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
4.21 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1989 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: 866,349
Total coins transferred: 16.83 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000144 ERG
Raw Transaction Data
{
"id": "2c0bc1a2ca663ec7b97291f454f2c0753c2d6a552d4cbb6f01bc3323eb0732aa",
"blockId": "111a9ba32ca0249b6688e0c7384cff7926770795711ce4c995e3e24d0ea041a1",
"inclusionHeight": 890445,
"timestamp": 1670357333744,
"index": 8,
"globalIndex": 4431131,
"numConfirmations": 866349,
"inputs": [
{
"boxId": "2134c4f2b414164c8472eb9867bd2abbc8b62d36023199bdf9762374c35cf85e",
"value": 12516920000,
"index": 0,
"spendingProof": null,
"outputBlockId": "aa48c5d6a7f40f6a9fae2ed7867fc340a414c42eb08c54c9ef43e9368270cd0b",
"outputTransactionId": "ec54b363dd3c300f8b9aee9de8f29ebcfb65fb985d5dd4f4e3f171b864d4263c",
"outputIndex": 0,
"outputGlobalIndex": 24323102,
"outputCreatedAt": 890438,
"outputSettledAt": 890440,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: 0\n55: false\n56: 0\n57: 2\n58: 2\n59: 2\n60: 3\n61: 3\n62: 0\n63: 1\n64: 0\n65: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n66: 0\n67: 1000\n68: 1\n69: 1000\n70: 4\n71: 5\n72: 6\n73: 0\n74: 1\n75: 1\n76: 4\n77: 1\n78: 5\n79: 6\n80: 0\n81: 3\n82: 1\n83: 1\n84: 4\n85: 5\n86: 0\n87: 6\n88: 0\n89: 0\n90: 0\n91: 6\n92: 1\n93: 0\n94: 1\n95: false\n96: false\n97: false\n98: 2\n99: 3\n100: 2\n101: 1000\n102: 1000000\n103: 2\n104: 2\n105: 2\n106: 0\n107: false\n108: false\n109: false\n110: 1\n111: 4\n112: 2\n113: 1\n114: 2\n115: 2\n116: false\n117: false\n118: false\n119: 3\n120: 0\n121: 0\n122: 0\n123: 2\n124: false\n125: 4\n126: 5\n127: 2\n128: 1\n129: 5\n130: 1\n131: 4\n132: 5\n133: 1\n134: 5\n135: 0\n136: 2\n137: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n val l39 = coll15(placeholder[Int](24))._2\n val bool40 = box3.R9[Long].get == l20\n sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n if (coll4 == coll12) {(\n val tuple42 = coll15(placeholder[Int](29))\n ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n )} else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n val l41 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l41 = box3.R7[Long].get\n if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n val tuple42 = coll15(placeholder[Int](42))\n (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { ((((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53))) && (box3.R8[Long].get == placeholder[Long](54)) } else { placeholder[Boolean](55) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](56))) { if (i30 > placeholder[Int](57)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (box3.R5[Coll[Int]].get(placeholder[Int](60)) == coll23(placeholder[Int](61)))) && (l27 == placeholder[Long](62))) && (coll31.size == placeholder[Int](63))) && (coll31(placeholder[Int](64))._1 == placeholder[Coll[Byte]](65))) && \n val coll41 = box3.R5[Coll[Int]].get\n val i42 = coll41(placeholder[Int](66))\n (((((((i42 <= placeholder[Int](67)) && (coll41(placeholder[Int](68)) <= placeholder[Int](69))) && (coll41(placeholder[Int](70)) == i32)) && (coll41(placeholder[Int](71)) == i33)) && (coll41(placeholder[Int](72)) == i34)) && (coll31(placeholder[Int](73))._2 >= i42 + coll41(placeholder[Int](74)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](75)) == i36)) && (coll41(placeholder[Int](76)) == i32 + placeholder[Int](77))) && (coll41(placeholder[Int](78)) == i33)) && (coll41(placeholder[Int](79)) == i34)) && (coll31(placeholder[Int](80))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](81) * i32 + placeholder[Int](82))))) || ((((i42 == i35) && (coll41(placeholder[Int](83)) == i36)) && (coll41(placeholder[Int](84)) == i32)) && \n val i43 = coll41(placeholder[Int](85))\n ((((i43 > placeholder[Int](86)) && (i43 != i33)) && (coll41(placeholder[Int](87)) == placeholder[Int](88))) && (coll31(placeholder[Int](89))._2 >= coll37(placeholder[Int](90)))) || (((i43 == i33) && (coll41(placeholder[Int](91)) == i34 + placeholder[Int](92))) && (coll31(placeholder[Int](93))._2 >= coll37(i34 + placeholder[Int](94))))\n )\n } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) } } else { placeholder[Boolean](97) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](98))) {\n if (i30 > placeholder[Int](99)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](100) * l14 / placeholder[Long](101), placeholder[Long](102))) && (\n OUTPUTS(placeholder[Int](103)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](104)).value >= l38)\n ) && bool26\n ) && (l39 == placeholder[Long](105))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](106))\n ) && bool40\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) }\n } else { placeholder[Boolean](109) } || if ((bool11 && bool29) && (l18 == placeholder[Long](110))) {\n if (i30 >= placeholder[Int](111)) {\n if (blake2b256(OUTPUTS(placeholder[Int](112)).propositionBytes) == coll5(placeholder[Int](113))) {\n blake2b256(INPUTS(placeholder[Int](114)).propositionBytes) == coll5(placeholder[Int](115))\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n } else { placeholder[Boolean](118) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](119))) {\n (bool22 && (l27 == placeholder[Long](120))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](121))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](122))._2 == placeholder[Long](123))\n )\n } else { placeholder[Boolean](124) }\n ) || if ((bool11 && ((l18 == placeholder[Long](125)) || (l18 == placeholder[Long](126)))) && (INPUTS.size == placeholder[Int](127))) {\n (\n (\n (\n (((blake2b256(INPUTS(placeholder[Int](128)).propositionBytes) == coll5(placeholder[Int](129))) && bool40) && (l39 >= placeholder[Long](130))) && (\n box3.R4[Coll[Byte]].get == coll21\n )\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (box3.R6[SigmaProp].get == prop2)\n ) && (\n (((l18 == placeholder[Long](131)) && (l27 == placeholder[Long](132))) && (l39 == placeholder[Long](133))) || (\n ((l18 == placeholder[Long](134)) && (l27 == placeholder[Long](135))) && (l39 == placeholder[Long](136))\n )\n )\n } else { placeholder[Boolean](137) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "b10b0001e2a3d38d91b082f153e009e6f5ecf1b326474d11c4bac0c9a55daafb",
"index": 0,
"amount": 2,
"name": "Blob",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "10072e2e8c05e402040604",
"sigmaType": "Coll[SInt]",
"renderedValue": "[23,23,326,178,2,3,2]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R9": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R4": {
"serializedValue": "0eb7015761746f3a3436653739353a6663633965313a343a343a4d3230382c313632513231342c3139392c3137342e352c3138392e35513133352c3138302c3132302e352c313639513130362c3135382c36322e352c3136315131392c3136342c32352e352c3132372e355133322c39312c36382e352c39302e35513130352c39302c3132322c36372e35513133392c34352c3136392c3534513139392c36332c3230302e352c3934513230322c3132352c3230382c3136325a",
"sigmaType": "Coll[SByte]",
"renderedValue": "5761746f3a3436653739353a6663633965313a343a343a4d3230382c313632513231342c3139392c3137342e352c3138392e35513133352c3138302c3132302e352c313639513130362c3135382c36322e352c3136315131392c3136342c32352e352c3132372e355133322c39312c36382e352c39302e35513130352c39302c3132322c36372e35513133392c34352c3136392c3534513139392c36332c3230302e352c3934513230322c3132352c3230382c3136325a"
}
}
},
{
"boxId": "b2b6dbee3f1fa6ba8ba69562adc5e085e6aac122a86d900ea04d019fc00d00eb",
"value": 4314340000,
"index": 1,
"spendingProof": null,
"outputBlockId": "bed9d940e4616d8d5691c79e68ecd215bdf02c8e9567fc98818563ea56e1ced2",
"outputTransactionId": "13ef34921c6268f3cc25e8bd2b60c9ae808876bd1a87991c89d154b6a41d1a2d",
"outputIndex": 0,
"outputGlobalIndex": 24323201,
"outputCreatedAt": 890441,
"outputSettledAt": 890443,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: 0\n55: false\n56: 0\n57: 2\n58: 2\n59: 2\n60: 3\n61: 3\n62: 0\n63: 1\n64: 0\n65: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n66: 0\n67: 1000\n68: 1\n69: 1000\n70: 4\n71: 5\n72: 6\n73: 0\n74: 1\n75: 1\n76: 4\n77: 1\n78: 5\n79: 6\n80: 0\n81: 3\n82: 1\n83: 1\n84: 4\n85: 5\n86: 0\n87: 6\n88: 0\n89: 0\n90: 0\n91: 6\n92: 1\n93: 0\n94: 1\n95: false\n96: false\n97: false\n98: 2\n99: 3\n100: 2\n101: 1000\n102: 1000000\n103: 2\n104: 2\n105: 2\n106: 0\n107: false\n108: false\n109: false\n110: 1\n111: 4\n112: 2\n113: 1\n114: 2\n115: 2\n116: false\n117: false\n118: false\n119: 3\n120: 0\n121: 0\n122: 0\n123: 2\n124: false\n125: 4\n126: 5\n127: 2\n128: 1\n129: 5\n130: 1\n131: 4\n132: 5\n133: 1\n134: 5\n135: 0\n136: 2\n137: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n val l39 = coll15(placeholder[Int](24))._2\n val bool40 = box3.R9[Long].get == l20\n sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n if (coll4 == coll12) {(\n val tuple42 = coll15(placeholder[Int](29))\n ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n )} else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n val l41 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l41 = box3.R7[Long].get\n if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n val tuple42 = coll15(placeholder[Int](42))\n (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { ((((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53))) && (box3.R8[Long].get == placeholder[Long](54)) } else { placeholder[Boolean](55) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](56))) { if (i30 > placeholder[Int](57)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (box3.R5[Coll[Int]].get(placeholder[Int](60)) == coll23(placeholder[Int](61)))) && (l27 == placeholder[Long](62))) && (coll31.size == placeholder[Int](63))) && (coll31(placeholder[Int](64))._1 == placeholder[Coll[Byte]](65))) && \n val coll41 = box3.R5[Coll[Int]].get\n val i42 = coll41(placeholder[Int](66))\n (((((((i42 <= placeholder[Int](67)) && (coll41(placeholder[Int](68)) <= placeholder[Int](69))) && (coll41(placeholder[Int](70)) == i32)) && (coll41(placeholder[Int](71)) == i33)) && (coll41(placeholder[Int](72)) == i34)) && (coll31(placeholder[Int](73))._2 >= i42 + coll41(placeholder[Int](74)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](75)) == i36)) && (coll41(placeholder[Int](76)) == i32 + placeholder[Int](77))) && (coll41(placeholder[Int](78)) == i33)) && (coll41(placeholder[Int](79)) == i34)) && (coll31(placeholder[Int](80))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](81) * i32 + placeholder[Int](82))))) || ((((i42 == i35) && (coll41(placeholder[Int](83)) == i36)) && (coll41(placeholder[Int](84)) == i32)) && \n val i43 = coll41(placeholder[Int](85))\n ((((i43 > placeholder[Int](86)) && (i43 != i33)) && (coll41(placeholder[Int](87)) == placeholder[Int](88))) && (coll31(placeholder[Int](89))._2 >= coll37(placeholder[Int](90)))) || (((i43 == i33) && (coll41(placeholder[Int](91)) == i34 + placeholder[Int](92))) && (coll31(placeholder[Int](93))._2 >= coll37(i34 + placeholder[Int](94))))\n )\n } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) } } else { placeholder[Boolean](97) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](98))) {\n if (i30 > placeholder[Int](99)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](100) * l14 / placeholder[Long](101), placeholder[Long](102))) && (\n OUTPUTS(placeholder[Int](103)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](104)).value >= l38)\n ) && bool26\n ) && (l39 == placeholder[Long](105))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](106))\n ) && bool40\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) }\n } else { placeholder[Boolean](109) } || if ((bool11 && bool29) && (l18 == placeholder[Long](110))) {\n if (i30 >= placeholder[Int](111)) {\n if (blake2b256(OUTPUTS(placeholder[Int](112)).propositionBytes) == coll5(placeholder[Int](113))) {\n blake2b256(INPUTS(placeholder[Int](114)).propositionBytes) == coll5(placeholder[Int](115))\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n } else { placeholder[Boolean](118) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](119))) {\n (bool22 && (l27 == placeholder[Long](120))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](121))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](122))._2 == placeholder[Long](123))\n )\n } else { placeholder[Boolean](124) }\n ) || if ((bool11 && ((l18 == placeholder[Long](125)) || (l18 == placeholder[Long](126)))) && (INPUTS.size == placeholder[Int](127))) {\n (\n (\n (\n (((blake2b256(INPUTS(placeholder[Int](128)).propositionBytes) == coll5(placeholder[Int](129))) && bool40) && (l39 >= placeholder[Long](130))) && (\n box3.R4[Coll[Byte]].get == coll21\n )\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (box3.R6[SigmaProp].get == prop2)\n ) && (\n (((l18 == placeholder[Long](131)) && (l27 == placeholder[Long](132))) && (l39 == placeholder[Long](133))) || (\n ((l18 == placeholder[Long](134)) && (l27 == placeholder[Long](135))) && (l39 == placeholder[Long](136))\n )\n )\n } else { placeholder[Boolean](137) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "b10b0001e2a3d38d91b082f153e009e6f5ecf1b326474d11c4bac0c9a55daafb",
"index": 0,
"amount": 2,
"name": "Blob",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702028604da01020400",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,259,109,1,2,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R9": {
"serializedValue": "0508",
"sigmaType": "SLong",
"renderedValue": "4"
},
"R4": {
"serializedValue": "0e7652656420697320646561643a6364303435623a6432356434333a323a323a4d3138332c313636513135322c3230372c39352c3139372e355133382c3138382c33392c3132352e355134302c36332c39382c34352e35513135362c32382c3138352c37362e35513231342c3132352c3138332c3136365a",
"sigmaType": "Coll[SByte]",
"renderedValue": "52656420697320646561643a6364303435623a6432356434333a323a323a4d3138332c313636513135322c3230372c39352c3139372e355133382c3138382c33392c3132352e355134302c36332c39382c34352e35513135362c32382c3138352c37362e35513231342c3132352c3138332c3136365a"
}
}
},
{
"boxId": "5fad1aa47b63c3e39468eb74eb5fad23e729fa9b9be1c0937373b660bc7504aa",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "78d18f00af302d474db833f42f9b3467ee0d54170809b2c8624ba00eda9c462d",
"outputTransactionId": "4d275a158ff6152ba7d993853338bab171a27cc2e047fc11cdc901c813dfd6b1",
"outputIndex": 3,
"outputGlobalIndex": 24323054,
"outputCreatedAt": 890436,
"outputSettledAt": 890438,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 3\n2: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n3: 2\n4: 3\n5: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n6: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n7: 0\n8: 1\n9: 1\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\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": "b10b0004004ddb5b036ca1016471fc099f8d996cb023bdac59ea78072db46242",
"index": 0,
"amount": 4180,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b000335049957b39273834f5f93aaf81bc1913c4d93401b34c78eca427243",
"index": 1,
"amount": 4590,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "154782bafa20e2044ed5af9b3d3e55e7611b2669b4620a228f724e43cfba27ab",
"value": 1000000,
"index": 0,
"outputBlockId": "e3b9d2b25884e968b573b7dce1a84bc9c72ac72a5beba3fdf3ebf21c5f8e54b4",
"outputTransactionId": "7087a8fc53afaf006bf59c52b9aa313aff400353fd045ee915a80b0924031570",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020404eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHcXaiuZGf9XTnSSazKFXS",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110a0ac0a386010206c8338084af5f3c80a8d6b907040c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,1100000,1,3,3300,100000000,30,1000000000,2,6]"
},
"R6": {
"serializedValue": "110c0000322832c8016464a006c801c801d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,25,20,25,100,50,50,400,100,100,1000]"
},
"R8": {
"serializedValue": "101a3200b40132b80364e807c8019811f403c8011eea0332cc08649213fa01e601009c0400b009008c1500",
"sigmaType": "Coll[SInt]",
"renderedValue": "[25,0,90,25,220,50,500,100,1100,250,100,15,245,25,550,50,1225,125,115,0,270,0,600,0,1350,0]"
},
"R7": {
"serializedValue": "1104142864c801",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,20,50,100]"
},
"R4": {
"serializedValue": "1a07204c24b641de5fe3e470a968df0edac197bafa3a0159c524e0962c47b1e59c7b222074cebc57be0ed14a04915294fbba83cbd73c0b095914242cfb82601b9299b1a8202f75de9a7ee9e03c6552a815a6307b06c9a7d21ca549ba7dd21a145171297d4720e6510ffeb72fe8796b3f95218b0ba472c281a5180d8d67a6831596e8c27b60d3200b769f8bea56882c2939b3d49b1d3b9260a9430e0bab124590ade0685cfaade020340414ca5ebab4e5c281ea32cb99d4117aa2a2784f94623a768b0791a1c2ed9020607fc1648a09704a246e9f2529654e696112addb5757b30f1d71083bf04af858",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[4c24b641de5fe3e470a968df0edac197bafa3a0159c524e0962c47b1e59c7b22,74cebc57be0ed14a04915294fbba83cbd73c0b095914242cfb82601b9299b1a8,2f75de9a7ee9e03c6552a815a6307b06c9a7d21ca549ba7dd21a145171297d47,e6510ffeb72fe8796b3f95218b0ba472c281a5180d8d67a6831596e8c27b60d3,0b769f8bea56882c2939b3d49b1d3b9260a9430e0bab124590ade0685cfaade0,340414ca5ebab4e5c281ea32cb99d4117aa2a2784f94623a768b0791a1c2ed90,607fc1648a09704a246e9f2529654e696112addb5757b30f1d71083bf04af858]"
}
}
}
],
"outputs": [
{
"boxId": "b4d1a0b50428f188f09d80d2e33dc7b8352aff83874edd650466f93040cfb1d0",
"transactionId": "2c0bc1a2ca663ec7b97291f454f2c0753c2d6a552d4cbb6f01bc3323eb0732aa",
"blockId": "111a9ba32ca0249b6688e0c7384cff7926770795711ce4c995e3e24d0ea041a1",
"value": 12416920000,
"index": 0,
"globalIndex": 24323249,
"creationHeight": 890442,
"settlementHeight": 890445,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: 0\n55: false\n56: 0\n57: 2\n58: 2\n59: 2\n60: 3\n61: 3\n62: 0\n63: 1\n64: 0\n65: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n66: 0\n67: 1000\n68: 1\n69: 1000\n70: 4\n71: 5\n72: 6\n73: 0\n74: 1\n75: 1\n76: 4\n77: 1\n78: 5\n79: 6\n80: 0\n81: 3\n82: 1\n83: 1\n84: 4\n85: 5\n86: 0\n87: 6\n88: 0\n89: 0\n90: 0\n91: 6\n92: 1\n93: 0\n94: 1\n95: false\n96: false\n97: false\n98: 2\n99: 3\n100: 2\n101: 1000\n102: 1000000\n103: 2\n104: 2\n105: 2\n106: 0\n107: false\n108: false\n109: false\n110: 1\n111: 4\n112: 2\n113: 1\n114: 2\n115: 2\n116: false\n117: false\n118: false\n119: 3\n120: 0\n121: 0\n122: 0\n123: 2\n124: false\n125: 4\n126: 5\n127: 2\n128: 1\n129: 5\n130: 1\n131: 4\n132: 5\n133: 1\n134: 5\n135: 0\n136: 2\n137: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n val l39 = coll15(placeholder[Int](24))._2\n val bool40 = box3.R9[Long].get == l20\n sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n if (coll4 == coll12) {(\n val tuple42 = coll15(placeholder[Int](29))\n ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n )} else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n val l41 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l41 = box3.R7[Long].get\n if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n val tuple42 = coll15(placeholder[Int](42))\n (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { ((((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53))) && (box3.R8[Long].get == placeholder[Long](54)) } else { placeholder[Boolean](55) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](56))) { if (i30 > placeholder[Int](57)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (box3.R5[Coll[Int]].get(placeholder[Int](60)) == coll23(placeholder[Int](61)))) && (l27 == placeholder[Long](62))) && (coll31.size == placeholder[Int](63))) && (coll31(placeholder[Int](64))._1 == placeholder[Coll[Byte]](65))) && \n val coll41 = box3.R5[Coll[Int]].get\n val i42 = coll41(placeholder[Int](66))\n (((((((i42 <= placeholder[Int](67)) && (coll41(placeholder[Int](68)) <= placeholder[Int](69))) && (coll41(placeholder[Int](70)) == i32)) && (coll41(placeholder[Int](71)) == i33)) && (coll41(placeholder[Int](72)) == i34)) && (coll31(placeholder[Int](73))._2 >= i42 + coll41(placeholder[Int](74)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](75)) == i36)) && (coll41(placeholder[Int](76)) == i32 + placeholder[Int](77))) && (coll41(placeholder[Int](78)) == i33)) && (coll41(placeholder[Int](79)) == i34)) && (coll31(placeholder[Int](80))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](81) * i32 + placeholder[Int](82))))) || ((((i42 == i35) && (coll41(placeholder[Int](83)) == i36)) && (coll41(placeholder[Int](84)) == i32)) && \n val i43 = coll41(placeholder[Int](85))\n ((((i43 > placeholder[Int](86)) && (i43 != i33)) && (coll41(placeholder[Int](87)) == placeholder[Int](88))) && (coll31(placeholder[Int](89))._2 >= coll37(placeholder[Int](90)))) || (((i43 == i33) && (coll41(placeholder[Int](91)) == i34 + placeholder[Int](92))) && (coll31(placeholder[Int](93))._2 >= coll37(i34 + placeholder[Int](94))))\n )\n } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) } } else { placeholder[Boolean](97) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](98))) {\n if (i30 > placeholder[Int](99)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](100) * l14 / placeholder[Long](101), placeholder[Long](102))) && (\n OUTPUTS(placeholder[Int](103)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](104)).value >= l38)\n ) && bool26\n ) && (l39 == placeholder[Long](105))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](106))\n ) && bool40\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) }\n } else { placeholder[Boolean](109) } || if ((bool11 && bool29) && (l18 == placeholder[Long](110))) {\n if (i30 >= placeholder[Int](111)) {\n if (blake2b256(OUTPUTS(placeholder[Int](112)).propositionBytes) == coll5(placeholder[Int](113))) {\n blake2b256(INPUTS(placeholder[Int](114)).propositionBytes) == coll5(placeholder[Int](115))\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n } else { placeholder[Boolean](118) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](119))) {\n (bool22 && (l27 == placeholder[Long](120))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](121))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](122))._2 == placeholder[Long](123))\n )\n } else { placeholder[Boolean](124) }\n ) || if ((bool11 && ((l18 == placeholder[Long](125)) || (l18 == placeholder[Long](126)))) && (INPUTS.size == placeholder[Int](127))) {\n (\n (\n (\n (((blake2b256(INPUTS(placeholder[Int](128)).propositionBytes) == coll5(placeholder[Int](129))) && bool40) && (l39 >= placeholder[Long](130))) && (\n box3.R4[Coll[Byte]].get == coll21\n )\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (box3.R6[SigmaProp].get == prop2)\n ) && (\n (((l18 == placeholder[Long](131)) && (l27 == placeholder[Long](132))) && (l39 == placeholder[Long](133))) || (\n ((l18 == placeholder[Long](134)) && (l27 == placeholder[Long](135))) && (l39 == placeholder[Long](136))\n )\n )\n } else { placeholder[Boolean](137) }\n )\n}",
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"assets": [
{
"tokenId": "b10b0001e2a3d38d91b082f153e009e6f5ecf1b326474d11c4bac0c9a55daafb",
"index": 0,
"amount": 1,
"name": "Blob",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "10072e2e8c05e402040604",
"sigmaType": "Coll[SInt]",
"renderedValue": "[23,23,326,178,2,3,2]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
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"R8": {
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"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "5761746f3a3436653739353a6663633965313a343a343a4d3230382c313632513231342c3139392c3137342e352c3138392e35513133352c3138302c3132302e352c313639513130362c3135382c36322e352c3136315131392c3136342c32352e352c3132372e355133322c39312c36382e352c39302e35513130352c39302c3132322c36372e35513133392c34352c3136392c3534513139392c36332c3230302e352c3934513230322c3132352c3230382c3136325a"
}
},
"spentTransactionId": "3cc8433480e12445883be94018c1305818077970a542be2d907bb78bd6264fba",
"mainChain": true
},
{
"boxId": "db2c37a78cb8c3c906a203905d662443f5c7059cf317a74bc31821e53d9e2166",
"transactionId": "2c0bc1a2ca663ec7b97291f454f2c0753c2d6a552d4cbb6f01bc3323eb0732aa",
"blockId": "111a9ba32ca0249b6688e0c7384cff7926770795711ce4c995e3e24d0ea041a1",
"value": 4214340000,
"index": 1,
"globalIndex": 24323250,
"creationHeight": 890442,
"settlementHeight": 890445,
"ergoTree": "108a010400040004000e20b10b0001e2a3d38d91b082f153e009e6f5ecf1b326474d11c4bac0c9a55daafb0402058092f40104020400010004060400040208cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e0400050401000402040001000408040a040c04000402040004000e20b10b0000e4d4aeb3808ea19c6a17039095b8be8706f98867885add59d8dc7b8c05d00f0580897a0400050401000100050005d00f0580897a05000100010005000508040204020e20b10b000335049957b39273834f5f93aaf81bc1913c4d93401b34c78eca427243041005040502058084af5f010001000506050a04020500050001000500040404040404040604060500040204000e20b10b0004004ddb5b036ca1016471fc099f8d996cb023bdac59ea78072db46242040004d00f040204d00f0408040a040c04000402040204080402040a040c04000406040204020408040a0400040c040004000400040c04020400040201000100010005040406050405d00f0580897a04040404050405000100010001000502040804040402040404040100010001000506050005000400050401000508050a04040402040a05020508050a0502050a050005040100d828d601b2db6501fe730000d602e4c6a70608d603b2a5730100d604cbc27203d605e4c67201041ad606b27205730200d6077303d608e4c672010511d609b27208730400d60a9a73057209d60b959372047206d801d60bdb63087203eded92b1720b7306938cb2720b73070001720792c17203720a7308d60cb27205730900d60dc1a7d60eb27208730a00d60fdb63087203d610b2a5730b00d611c27210d612e4c6a70705d613d0730cd614e4c6a70905d615e4c6a7040ed61695720bededed93e4c6720309057214938cb2720f730d0002730e93e4c67203040e721593e4c6720306087202730fd617e4c6a70510d618c17203d619b1720fd61a937218720dd61be4c672030705d61ccb7211d61d9593721c7206d801d61ddb63087210eded92b1721d7310938cb2721d73110001720792c17210720a7312d61eb1a5d61fdb63087210d620b27217731300d621b27217731400d622b27217731500d623b27217731600d624b27217731700d625e4c672010711d626e4c6a70805d6278cb2720f73180002d62893e4c6720309057214ea02d1938cb2db6308720173190001731aeb02ea027202d1ecececec95ef720bd801d629a29d9c720d720e731b731c95937204720cd801d62ab2720f731d00edededed938c722a017207938c722a02731e92c172037229937211d0720292c172109999720d72297209731f732095ed720b9372127321d801d62999720dc17203959372117213ededed92c17210a29d9ca272297229720e73227323721693e4c672030510721793e4c67203070573247325732695ed720b937212732795eded937218720d721693e4c6720305107217d801d629e4c67203070595ed93722973289172197329d801d62ab2720f732a00ed938c722a01732b938c722a02b27208732c00ec937229732deded937229732e90e4c67203080599720d720a92e4c672030805732f7330733195eded720b94721273329472127333ededededed721a721693e4c6720305107217937219733493721b733593e4c6720308057336733795eded720bef721d93721273389591721e73399593721c720cededededededed721a721693b2e4c672030510733a00b27217733b0093b2e4c672030510733c00b27217733d0093721b733e93b1721f733f938cb2721f734000017341d802d629e4c672030510d62ab27229734200ececededededed90722a734390b27229734400734593b27229734600722093b27229734700722193b272297348007222928cb2721f734900027e999a722ab27229734a009a7223722405ededededed93722a722393b27229734b00722493b27229734c009a7220734d93b27229734e00722193b27229734f007222928cb2721f73500002b2e4c6720106119c73519a7220735200ededed93722a722393b27229735300722493b272297354007220d801d62bb27229735500ecededed91722b735694722b722193b272297357007358928cb2721f73590002b27225735a00eded93722b722193b27229735b009a7222735c928cb2721f735d0002b272259a7222735e00735f73607361d1ececec95ed720b93721273629591721e7363959372117213edededededededed92c17210a29d9c9c72267364720e7365736693c2b2a5736700d0720292c1b2a57368007226721a937227736993e4c67203040e721593e4c672030510721793721b736a7228736b736c736d95eded720b721d937212736e9592721e736f9593cbc2b2a5737000b2720573710093cbc2b2a4737200b2720573730073747375737695eded720b721d9372127377eced721693721b7378edededed93e4c67210040e721593e4c672100608720293e4c672100705737993e4c6721009057214938cb2721f737a0002737b737c95eded720bec937212737d937212737e93b1a4737fedededededed93cbc2b2a473800100b2720573810100722892722773820193e4c67203040e721593e4c672030510721793e4c6720306087202eceded93721273830193721b738401937227738501eded93721273860193721b738701937227738801738901",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: 0\n55: false\n56: 0\n57: 2\n58: 2\n59: 2\n60: 3\n61: 3\n62: 0\n63: 1\n64: 0\n65: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n66: 0\n67: 1000\n68: 1\n69: 1000\n70: 4\n71: 5\n72: 6\n73: 0\n74: 1\n75: 1\n76: 4\n77: 1\n78: 5\n79: 6\n80: 0\n81: 3\n82: 1\n83: 1\n84: 4\n85: 5\n86: 0\n87: 6\n88: 0\n89: 0\n90: 0\n91: 6\n92: 1\n93: 0\n94: 1\n95: false\n96: false\n97: false\n98: 2\n99: 3\n100: 2\n101: 1000\n102: 1000000\n103: 2\n104: 2\n105: 2\n106: 0\n107: false\n108: false\n109: false\n110: 1\n111: 4\n112: 2\n113: 1\n114: 2\n115: 2\n116: false\n117: false\n118: false\n119: 3\n120: 0\n121: 0\n122: 0\n123: 2\n124: false\n125: 4\n126: 5\n127: 2\n128: 1\n129: 5\n130: 1\n131: 4\n132: 5\n133: 1\n134: 5\n135: 0\n136: 2\n137: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n val l39 = coll15(placeholder[Int](24))._2\n val bool40 = box3.R9[Long].get == l20\n sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n if (coll4 == coll12) {(\n val tuple42 = coll15(placeholder[Int](29))\n ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n )} else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n val l41 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l41 = box3.R7[Long].get\n if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n val tuple42 = coll15(placeholder[Int](42))\n (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { ((((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53))) && (box3.R8[Long].get == placeholder[Long](54)) } else { placeholder[Boolean](55) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](56))) { if (i30 > placeholder[Int](57)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (box3.R5[Coll[Int]].get(placeholder[Int](60)) == coll23(placeholder[Int](61)))) && (l27 == placeholder[Long](62))) && (coll31.size == placeholder[Int](63))) && (coll31(placeholder[Int](64))._1 == placeholder[Coll[Byte]](65))) && \n val coll41 = box3.R5[Coll[Int]].get\n val i42 = coll41(placeholder[Int](66))\n (((((((i42 <= placeholder[Int](67)) && (coll41(placeholder[Int](68)) <= placeholder[Int](69))) && (coll41(placeholder[Int](70)) == i32)) && (coll41(placeholder[Int](71)) == i33)) && (coll41(placeholder[Int](72)) == i34)) && (coll31(placeholder[Int](73))._2 >= i42 + coll41(placeholder[Int](74)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](75)) == i36)) && (coll41(placeholder[Int](76)) == i32 + placeholder[Int](77))) && (coll41(placeholder[Int](78)) == i33)) && (coll41(placeholder[Int](79)) == i34)) && (coll31(placeholder[Int](80))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](81) * i32 + placeholder[Int](82))))) || ((((i42 == i35) && (coll41(placeholder[Int](83)) == i36)) && (coll41(placeholder[Int](84)) == i32)) && \n val i43 = coll41(placeholder[Int](85))\n ((((i43 > placeholder[Int](86)) && (i43 != i33)) && (coll41(placeholder[Int](87)) == placeholder[Int](88))) && (coll31(placeholder[Int](89))._2 >= coll37(placeholder[Int](90)))) || (((i43 == i33) && (coll41(placeholder[Int](91)) == i34 + placeholder[Int](92))) && (coll31(placeholder[Int](93))._2 >= coll37(i34 + placeholder[Int](94))))\n )\n } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) } } else { placeholder[Boolean](97) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](98))) {\n if (i30 > placeholder[Int](99)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](100) * l14 / placeholder[Long](101), placeholder[Long](102))) && (\n OUTPUTS(placeholder[Int](103)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](104)).value >= l38)\n ) && bool26\n ) && (l39 == placeholder[Long](105))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](106))\n ) && bool40\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) }\n } else { placeholder[Boolean](109) } || if ((bool11 && bool29) && (l18 == placeholder[Long](110))) {\n if (i30 >= placeholder[Int](111)) {\n if (blake2b256(OUTPUTS(placeholder[Int](112)).propositionBytes) == coll5(placeholder[Int](113))) {\n blake2b256(INPUTS(placeholder[Int](114)).propositionBytes) == coll5(placeholder[Int](115))\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n } else { placeholder[Boolean](118) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](119))) {\n (bool22 && (l27 == placeholder[Long](120))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](121))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](122))._2 == placeholder[Long](123))\n )\n } else { placeholder[Boolean](124) }\n ) || if ((bool11 && ((l18 == placeholder[Long](125)) || (l18 == placeholder[Long](126)))) && (INPUTS.size == placeholder[Int](127))) {\n (\n (\n (\n (((blake2b256(INPUTS(placeholder[Int](128)).propositionBytes) == coll5(placeholder[Int](129))) && bool40) && (l39 >= placeholder[Long](130))) && (\n box3.R4[Coll[Byte]].get == coll21\n )\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (box3.R6[SigmaProp].get == prop2)\n ) && (\n (((l18 == placeholder[Long](131)) && (l27 == placeholder[Long](132))) && (l39 == placeholder[Long](133))) || (\n ((l18 == placeholder[Long](134)) && (l27 == placeholder[Long](135))) && (l39 == placeholder[Long](136))\n )\n )\n } else { placeholder[Boolean](137) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "b10b0001e2a3d38d91b082f153e009e6f5ecf1b326474d11c4bac0c9a55daafb",
"index": 0,
"amount": 1,
"name": "Blob",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702028604da01020400",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,259,109,1,2,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "0508",
"sigmaType": "SLong",
"renderedValue": "4"
},
"R4": {
"serializedValue": "0e7652656420697320646561643a6364303435623a6432356434333a323a323a4d3138332c313636513135322c3230372c39352c3139372e355133382c3138382c33392c3132352e355134302c36332c39382c34352e35513135362c32382c3138352c37362e35513231342c3132352c3138332c3136365a",
"sigmaType": "Coll[SByte]",
"renderedValue": "52656420697320646561643a6364303435623a6432356434333a323a323a4d3138332c313636513135322c3230372c39352c3139372e355133382c3138382c33392c3132352e355134302c36332c39382c34352e35513135362c32382c3138352c37362e35513231342c3132352c3138332c3136365a"
}
},
"spentTransactionId": "3cc8433480e12445883be94018c1305818077970a542be2d907bb78bd6264fba",
"mainChain": true
},
{
"boxId": "c66560927790713b768db2eed3c278cd11ecdddf0ce82c6e0c541b115d7ab4d3",
"transactionId": "2c0bc1a2ca663ec7b97291f454f2c0753c2d6a552d4cbb6f01bc3323eb0732aa",
"blockId": "111a9ba32ca0249b6688e0c7384cff7926770795711ce4c995e3e24d0ea041a1",
"value": 198900000,
"index": 2,
"globalIndex": 24323251,
"creationHeight": 890442,
"settlementHeight": 890445,
"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(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n65: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n66: 3\n67: 2\n68: 0\n69: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\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) }, !(SELF.creationInfo._1 == box2.creationInfo._1), 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": "b10b0001e2a3d38d91b082f153e009e6f5ecf1b326474d11c4bac0c9a55daafb",
"index": 0,
"amount": 2,
"name": "Blob",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b0004004ddb5b036ca1016471fc099f8d996cb023bdac59ea78072db46242",
"index": 1,
"amount": 4,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b000335049957b39273834f5f93aaf81bc1913c4d93401b34c78eca427243",
"index": 2,
"amount": 2,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R6": {
"serializedValue": "10072e2e8c05e402040604",
"sigmaType": "Coll[SInt]",
"renderedValue": "[23,23,326,178,2,3,2]"
},
"R8": {
"serializedValue": "0508",
"sigmaType": "SLong",
"renderedValue": "4"
},
"R7": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R9": {
"serializedValue": "100702028604da01020400",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,259,109,1,2,0]"
},
"R4": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
}
},
"spentTransactionId": "3cc8433480e12445883be94018c1305818077970a542be2d907bb78bd6264fba",
"mainChain": true
},
{
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"transactionId": "2c0bc1a2ca663ec7b97291f454f2c0753c2d6a552d4cbb6f01bc3323eb0732aa",
"blockId": "111a9ba32ca0249b6688e0c7384cff7926770795711ce4c995e3e24d0ea041a1",
"value": 1000000,
"index": 3,
"globalIndex": 24323252,
"creationHeight": 890442,
"settlementHeight": 890445,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 3\n2: Coll(-79,11,0,4,0,77,-37,91,3,108,-95,1,100,113,-4,9,-97,-115,-103,108,-80,35,-67,-84,89,-22,120,7,45,-76,98,66)\n3: 2\n4: 3\n5: Coll(-79,11,0,3,53,4,-103,87,-77,-110,115,-125,79,95,-109,-86,-8,27,-63,-111,60,77,-109,64,27,52,-57,-114,-54,66,114,67)\n6: Coll(-79,11,0,1,-30,-93,-45,-115,-111,-80,-126,-15,83,-32,9,-26,-11,-20,-15,-77,38,71,77,17,-60,-70,-64,-55,-91,93,-86,-5)\n7: 0\n8: 1\n9: 1\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: Coll(-79,11,0,0,-28,-44,-82,-77,-128,-114,-95,-100,106,23,3,-112,-107,-72,-66,-121,6,-7,-120,103,-120,90,-35,89,-40,-36,123,-116)\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": "5gy47hVmBrcTLncn1pXgUdrX5r7JD2i8jMcqSybXMvauHDTKekFBRdD2aFewq8N4GVnTMYDPGh4F7DpR8QuJaCsjvmW1v6mvqk76g8hSvQVfE4WyGyP1LsGduYag2GArsuFsgcHgaJGuUjdJWzQY2hiFuBsBhA4GcZ9iFW5YZuD2hA14BKuePWHMzUdULdampbHhqxnhdDGK5tDn7Ey817GQ7ixCknMQVbXPwWhLu3AspiiGTifqR12apCwZhBx5TwWUhEdzDbwmU7Mr1FghCYZqUY4e1FL6Umg8Dpi412QRMHBGqr11Qw36y8YuXGmCqh8skMWBzstDeuRzWKAq4Hr3CkrqfryewdkfFUu5FF7ytHjhvd1GzQpMUnhFgs27Fc1U9EJcr7zrveTRVBBsBNrHMxGeNV2J7U4JWDYTQtLr9JX1choVXweD9xtvR9VzWu5oA929ij8Qu52USbHvv5R8nzqUxGfdua3r6RUeAEudjrKDdJEWTbwHWW7EXrTG93s1GtthVrcXPmoVBGPwh7h8SpjG8gHCwmBVKhHH695PC12YH3wYu611oVFuZCVt8VhBTMxJVpYngvcVaEKYQbBz8DBkafTiY6NWjmbSGMC8QS834L9aaYLRvPtb69tHKmnGuwyt3nRMvzXNZVVAAdE7PEXJy3tUPgaBFja8gAP2EcWhCf34QynguT1Kwyg34vqpdZN3QNezkMskAZk5ZVMcVSPWLfQx2eyP8yck6b8ZQyqBwVofT2z8fzwR4LipueuJhPgrLb8XxfVkMg9yjgqLpK16kikp6HzZkuVrQ36HMTbWAsd1gv7ftpXsWc5GZas8d9h3L4TcRQ46tgkBucAJzUFV5A1KnzdyURaN1cS9crroT38vrBQvRD16zhMWAhdA8qa5cU79gsguo2uXHiFnrsA9Ks5TRS6e8AcNMHLwuyVYyJjV8mUEvmGRyCqg8pHxYJHVf9J4U9LBo8VuSs2bXVSWdRpqUy15jq82xrwUgHHymRZSDsiURrPdD39HhMTxUtEJ7JSM5HPJnBfaESEcLh5Ru9HpUWboTAdT8WUmbcm1kg1m7RaFevbZBie3osQdaX2gmtRN7axFzRgrKPL88h5FA1gEZLCxKdWjabtHe7gPvHMMY8ygcXH6NqASgKPeghH2dxKMHBVxB6WGbau3t9LxdZtYyWRQTA4mFgX3FM7QYoJwVupdC1kvbq7FRcJBGFYs1HeMY5bFUt48iM4dBcPAHAFRyi79AV1kzYgYkYDnX6qJa3Bh3AcwnVpccBFn9w9wEJ2Gce74BWS4vsVsCqHtTj591sBQm8HmgSQHfMMJhBhtDuJR5AES9BpbuBsusb7iJPSHA34ihkNHbHHaszGbokm1oiowZ5HD954e16XF5f6CeuUn3UWWCfHiixhsrRbHNt7J51CpjLgW5228gohJw1fwo8noQ7wQuxF9c2HZGK9WVdfe2si6q2NPSJ2TevtqStte",
"assets": [
{
"tokenId": "b10b0004004ddb5b036ca1016471fc099f8d996cb023bdac59ea78072db46242",
"index": 0,
"amount": 4176,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b10b000335049957b39273834f5f93aaf81bc1913c4d93401b34c78eca427243",
"index": 1,
"amount": 4588,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "559c7905d0603bbdfd482c41245eb7ad5a6a71e6deaddfb946ec2e86de03d36d",
"mainChain": true
},
{
"boxId": "2b3896ef2a8ec36877c48f0f5340c47d37c15f61d3fd65b8031c34f1e3dbb045",
"transactionId": "2c0bc1a2ca663ec7b97291f454f2c0753c2d6a552d4cbb6f01bc3323eb0732aa",
"blockId": "111a9ba32ca0249b6688e0c7384cff7926770795711ce4c995e3e24d0ea041a1",
"value": 1100000,
"index": 4,
"globalIndex": 24323253,
"creationHeight": 890442,
"settlementHeight": 890445,
"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": "6d0f62c5e2ad5199ddd7641f2039533776f64152cb92d42e72b8cf6272608966",
"mainChain": true
}
],
"size": 7621,
"isUnconfirmed": false
}