Transaction
ID: 608ebe1dfa...4429
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0079 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0079 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1989 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.2037 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0079 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 931,421
Total coins transferred: 0.2147 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000269 ERG
Raw Transaction Data
{
"id": "608ebe1dfaa2ff681cbfd2201cabb36c7499babff114cdc246f574866b0e4429",
"blockId": "89f3b18c96adedbe6c1207bafbbb0fb8161642b2b8577e6e397d73e1e054b781",
"inclusionHeight": 833163,
"timestamp": 1662499035736,
"index": 9,
"globalIndex": 3946077,
"numConfirmations": 931421,
"inputs": [
{
"boxId": "6e6d5ce38f104191f11e456856f248c7c4650744cbc9a378e478a68d8036e17b",
"value": 7900000,
"index": 0,
"spendingProof": null,
"outputBlockId": "7497df3f3598ab1b19d1f754519e58eb93b855e017417235d6f3cccc382210ba",
"outputTransactionId": "fe1ee89d9598e72a792ac960fcba585aa933e720fbd95e7fafc738a180e9a3e5",
"outputIndex": 0,
"outputGlobalIndex": 21269961,
"outputCreatedAt": 833156,
"outputSettledAt": 833158,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n2: 1\n3: 2000000\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 3\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 1\n15: 1\n16: 4\n17: 0\n18: 1\n19: 0\n20: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n21: 0\n22: 1000\n23: 1000000\n24: 0\n25: 2\n26: 1\n27: 1\n28: false\n29: false\n30: 0\n31: 1\n32: 1000\n33: 1000000\n34: 2\n35: 0\n36: 0\n37: 0\n38: false\n39: false\n40: 0\n41: 2\n42: 2\n43: 1\n44: false\n45: 3\n46: 2\n47: 0\n48: 0\n49: false\n50: 0\n51: 2\n52: 2\n53: 2\n54: 3\n55: 3\n56: 0\n57: 0\n58: 2\n59: 1\n60: 0\n61: 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)\n62: 0\n63: 1000\n64: 1\n65: 1000\n66: 4\n67: 0\n68: 1\n69: 1\n70: 4\n71: 1\n72: 0\n73: 3\n74: 1\n75: false\n76: false\n77: false\n78: 2\n79: 3\n80: 2\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: false\n89: false\n90: false\n91: 1\n92: 4\n93: 2\n94: 1\n95: 2\n96: 2\n97: false\n98: false\n99: false\n100: 3\n101: 0\n102: 0\n103: 2\n104: 0\n105: 0\n106: 0\n107: 2\n108: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = box1.R4[Coll[Coll[Byte]]].get\n val coll4 = placeholder[Coll[Byte]](1)\n val coll5 = box1.R5[Coll[Long]].get\n val l6 = coll5(placeholder[Int](2))\n val l7 = placeholder[Long](3) + l6\n val func8 = {(i8: Int) =>\n val box10 = OUTPUTS(i8)\n if (blake2b256(box10.propositionBytes) == coll3(placeholder[Int](4))) {(\n val coll11 = box10.tokens\n ((coll11.size == placeholder[Int](5)) && (coll11(placeholder[Int](6))._1 == coll4)) && (box10.value >= l7)\n )} else { placeholder[Boolean](7) }\n }\n val bool9 = func8(placeholder[Int](8))\n val coll10 = coll3(placeholder[Int](9))\n val l11 = SELF.value\n val l12 = coll5(placeholder[Int](10))\n val l13 = SELF.R7[Long].get\n val coll14 = placeholder[SigmaProp](11).propBytes\n val box15 = OUTPUTS(placeholder[Int](12))\n val l16 = box15.tokens(placeholder[Int](13))._2\n val coll17 = SELF.R4[Coll[Byte]].get\n val coll18 = SELF.R5[Coll[Int]].get\n val l19 = SELF.R9[Long].get\n val l20 = SELF.R8[Long].get\n val l21 = box15.value\n val bool22 = l21 == l11\n val bool23 = func8(placeholder[Int](14))\n val i24 = OUTPUTS.size\n val box25 = OUTPUTS(placeholder[Int](15))\n val coll26 = box25.propositionBytes\n val bool27 = box15.R4[Coll[Byte]].get == coll17\n val i28 = coll18(placeholder[Int](16))\n val i29 = coll18(placeholder[Int](17))\n val i30 = coll18(placeholder[Int](18))\n sigmaProp(box1.tokens(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20)) && prop2 && sigmaProp((((if (!bool9) {(\n val box31 = OUTPUTS(placeholder[Int](21))\n val l32 = max(l11 * l12 / placeholder[Long](22), placeholder[Long](23))\n if (blake2b256(box31.propositionBytes) == coll10) {(\n val tuple33 = box31.tokens(placeholder[Int](24))\n ((((tuple33._1 == coll4) && (tuple33._2 == placeholder[Long](25))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](26)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](27)).value >= l11 - l32 - l6)\n )} else { placeholder[Boolean](28) }\n )} else { placeholder[Boolean](29) } || if (bool9 && (l13 == placeholder[Long](30))) {(\n val box31 = OUTPUTS(placeholder[Int](31))\n val l32 = l11 - box15.value\n if (box31.propositionBytes == coll14) { ((((((((box31.value >= max(max(l32, l32) * l12 / placeholder[Long](32), placeholder[Long](33))) && (l16 == placeholder[Long](34))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](35))) && (box15.R8[Long].get == placeholder[Long](36))) && (box15.R9[Long].get == l19)) && (l20 == placeholder[Long](37)) } else { placeholder[Boolean](38) }\n )} else { placeholder[Boolean](39) }) || if (bool9 && (l13 == placeholder[Long](40))) { ((((((l21 == l11) && (l16 == placeholder[Long](41))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l19)) && \n val l31 = box15.R7[Long].get\n (l31 == placeholder[Long](42)) || ((l31 == placeholder[Long](43)) && (box15.R8[Long].get <= l11 - l7))\n } else { placeholder[Boolean](44) }) || if (bool9 && (l13 != placeholder[Long](45))) { ((((((bool22 && (l16 == placeholder[Long](46))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](47))) && (box15.R8[Long].get == placeholder[Long](48))) && (box15.R9[Long].get == l19) } else { placeholder[Boolean](49) }) || if ((bool9 && (!bool23)) && (l13 == placeholder[Long](50))) { if (i24 > placeholder[Int](51)) { if (blake2b256(coll26) == coll10) { ((((((((((bool22 && bool27) && (box15.R5[Coll[Int]].get(placeholder[Int](52)) == coll18(placeholder[Int](53)))) && (box15.R5[Coll[Int]].get(placeholder[Int](54)) == coll18(placeholder[Int](55)))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](56))) && (box15.R8[Long].get == placeholder[Long](57))) && (box15.R9[Long].get == l19)) && (l16 == placeholder[Long](58))) && (box25.tokens.size == placeholder[Int](59))) && (box25.tokens(placeholder[Int](60))._1 == placeholder[Coll[Byte]](61))) && \n val coll31 = box15.R5[Coll[Int]].get\n val i32 = coll31(placeholder[Int](62))\n ((((i32 <= placeholder[Int](63)) && (coll31(placeholder[Int](64)) <= placeholder[Int](65))) && (coll31(placeholder[Int](66)) == i28)) && (box25.tokens(placeholder[Int](67))._2 >= i32 + coll31(placeholder[Int](68)) - i29 + i30.toLong)) || ((((i32 == i29) && (coll31(placeholder[Int](69)) == i30)) && (coll31(placeholder[Int](70)) == i28 + placeholder[Int](71))) && (box25.tokens(placeholder[Int](72))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](73) * i28 + placeholder[Int](74))))\n } else { placeholder[Boolean](75) } } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) }) || sigmaProp(\n (\n if (bool9 && (l13 == placeholder[Long](78))) {\n if (i24 > placeholder[Int](79)) {\n if (coll26 == coll14) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box25.value >= max(l20 * placeholder[Long](80) * l12 / placeholder[Long](81), placeholder[Long](82))) && (\n OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](84)).value >= l20)\n ) && bool22\n ) && (l16 == placeholder[Long](85))\n ) && bool27\n ) && (box15.R5[Coll[Int]].get == coll18)\n ) && (box15.R7[Long].get == placeholder[Long](86))\n ) && (box15.R8[Long].get == placeholder[Long](87))\n ) && (box15.R9[Long].get == l19)\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) } || if ((bool9 && bool23) && (l13 == placeholder[Long](91))) {\n if (i24 >= placeholder[Int](92)) {\n if (blake2b256(OUTPUTS(placeholder[Int](93)).propositionBytes) == coll3(placeholder[Int](94))) {\n blake2b256(INPUTS(placeholder[Int](95)).propositionBytes) == coll3(placeholder[Int](96))\n } else { placeholder[Boolean](97) }\n } else { placeholder[Boolean](98) }\n } else { placeholder[Boolean](99) }\n ) || if ((bool9 && bool23) && (l13 == placeholder[Long](100))) {\n (\n (\n (\n ((bool27 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](101))) && (box15.R8[Long].get == placeholder[Long](102))\n ) && (box15.R9[Long].get == l19)\n ) && (l16 == placeholder[Long](103))\n ) || (\n (\n (\n (((box25.R4[Coll[Byte]].get == coll17) && (box25.R6[SigmaProp].get == prop2)) && (box25.R7[Long].get == placeholder[Long](104))) && (\n box25.R8[Long].get == placeholder[Long](105)\n )\n ) && (box25.R9[Long].get == l19)\n ) && (box25.tokens(placeholder[Int](106))._2 == placeholder[Long](107))\n )\n } else { placeholder[Boolean](108) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "10050202000002",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,0,0,1]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "0508",
"sigmaType": "SLong",
"renderedValue": "4"
},
"R4": {
"serializedValue": "0ea80144656c74613a6366323032643a6234346164643a333a343a4d3138372c3136332e35513230322c3230322c3136332e352c3138372e35513132352c3137332c3130382c3136365139312c3135392c35372e352c3134325132342c3132352c35362c3130362e355138382c38382c3130362e352c3437513132352c362c3135302c34302e35513137352c37352c3137332e352c313030513137322c3132352c3138372c3136332e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "44656c74613a6366323032643a6234346164643a333a343a4d3138372c3136332e35513230322c3230322c3136332e352c3138372e35513132352c3137332c3130382c3136365139312c3135392c35372e352c3134325132342c3132352c35362c3130362e355138382c38382c3130362e352c3437513132352c362c3135302c34302e35513137352c37352c3137332e352c313030513137322c3132352c3138372c3136332e355a"
}
}
},
{
"boxId": "94011046443a4d1e5d1a80d36d20281472d02099a709566c08a7f5cdb5a848e6",
"value": 7900000,
"index": 1,
"spendingProof": null,
"outputBlockId": "7497df3f3598ab1b19d1f754519e58eb93b855e017417235d6f3cccc382210ba",
"outputTransactionId": "fe1ee89d9598e72a792ac960fcba585aa933e720fbd95e7fafc738a180e9a3e5",
"outputIndex": 1,
"outputGlobalIndex": 21269962,
"outputCreatedAt": 833156,
"outputSettledAt": 833158,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n2: 1\n3: 2000000\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 3\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 1\n15: 1\n16: 4\n17: 0\n18: 1\n19: 0\n20: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n21: 0\n22: 1000\n23: 1000000\n24: 0\n25: 2\n26: 1\n27: 1\n28: false\n29: false\n30: 0\n31: 1\n32: 1000\n33: 1000000\n34: 2\n35: 0\n36: 0\n37: 0\n38: false\n39: false\n40: 0\n41: 2\n42: 2\n43: 1\n44: false\n45: 3\n46: 2\n47: 0\n48: 0\n49: false\n50: 0\n51: 2\n52: 2\n53: 2\n54: 3\n55: 3\n56: 0\n57: 0\n58: 2\n59: 1\n60: 0\n61: 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)\n62: 0\n63: 1000\n64: 1\n65: 1000\n66: 4\n67: 0\n68: 1\n69: 1\n70: 4\n71: 1\n72: 0\n73: 3\n74: 1\n75: false\n76: false\n77: false\n78: 2\n79: 3\n80: 2\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: false\n89: false\n90: false\n91: 1\n92: 4\n93: 2\n94: 1\n95: 2\n96: 2\n97: false\n98: false\n99: false\n100: 3\n101: 0\n102: 0\n103: 2\n104: 0\n105: 0\n106: 0\n107: 2\n108: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = box1.R4[Coll[Coll[Byte]]].get\n val coll4 = placeholder[Coll[Byte]](1)\n val coll5 = box1.R5[Coll[Long]].get\n val l6 = coll5(placeholder[Int](2))\n val l7 = placeholder[Long](3) + l6\n val func8 = {(i8: Int) =>\n val box10 = OUTPUTS(i8)\n if (blake2b256(box10.propositionBytes) == coll3(placeholder[Int](4))) {(\n val coll11 = box10.tokens\n ((coll11.size == placeholder[Int](5)) && (coll11(placeholder[Int](6))._1 == coll4)) && (box10.value >= l7)\n )} else { placeholder[Boolean](7) }\n }\n val bool9 = func8(placeholder[Int](8))\n val coll10 = coll3(placeholder[Int](9))\n val l11 = SELF.value\n val l12 = coll5(placeholder[Int](10))\n val l13 = SELF.R7[Long].get\n val coll14 = placeholder[SigmaProp](11).propBytes\n val box15 = OUTPUTS(placeholder[Int](12))\n val l16 = box15.tokens(placeholder[Int](13))._2\n val coll17 = SELF.R4[Coll[Byte]].get\n val coll18 = SELF.R5[Coll[Int]].get\n val l19 = SELF.R9[Long].get\n val l20 = SELF.R8[Long].get\n val l21 = box15.value\n val bool22 = l21 == l11\n val bool23 = func8(placeholder[Int](14))\n val i24 = OUTPUTS.size\n val box25 = OUTPUTS(placeholder[Int](15))\n val coll26 = box25.propositionBytes\n val bool27 = box15.R4[Coll[Byte]].get == coll17\n val i28 = coll18(placeholder[Int](16))\n val i29 = coll18(placeholder[Int](17))\n val i30 = coll18(placeholder[Int](18))\n sigmaProp(box1.tokens(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20)) && prop2 && sigmaProp((((if (!bool9) {(\n val box31 = OUTPUTS(placeholder[Int](21))\n val l32 = max(l11 * l12 / placeholder[Long](22), placeholder[Long](23))\n if (blake2b256(box31.propositionBytes) == coll10) {(\n val tuple33 = box31.tokens(placeholder[Int](24))\n ((((tuple33._1 == coll4) && (tuple33._2 == placeholder[Long](25))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](26)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](27)).value >= l11 - l32 - l6)\n )} else { placeholder[Boolean](28) }\n )} else { placeholder[Boolean](29) } || if (bool9 && (l13 == placeholder[Long](30))) {(\n val box31 = OUTPUTS(placeholder[Int](31))\n val l32 = l11 - box15.value\n if (box31.propositionBytes == coll14) { ((((((((box31.value >= max(max(l32, l32) * l12 / placeholder[Long](32), placeholder[Long](33))) && (l16 == placeholder[Long](34))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](35))) && (box15.R8[Long].get == placeholder[Long](36))) && (box15.R9[Long].get == l19)) && (l20 == placeholder[Long](37)) } else { placeholder[Boolean](38) }\n )} else { placeholder[Boolean](39) }) || if (bool9 && (l13 == placeholder[Long](40))) { ((((((l21 == l11) && (l16 == placeholder[Long](41))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l19)) && \n val l31 = box15.R7[Long].get\n (l31 == placeholder[Long](42)) || ((l31 == placeholder[Long](43)) && (box15.R8[Long].get <= l11 - l7))\n } else { placeholder[Boolean](44) }) || if (bool9 && (l13 != placeholder[Long](45))) { ((((((bool22 && (l16 == placeholder[Long](46))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](47))) && (box15.R8[Long].get == placeholder[Long](48))) && (box15.R9[Long].get == l19) } else { placeholder[Boolean](49) }) || if ((bool9 && (!bool23)) && (l13 == placeholder[Long](50))) { if (i24 > placeholder[Int](51)) { if (blake2b256(coll26) == coll10) { ((((((((((bool22 && bool27) && (box15.R5[Coll[Int]].get(placeholder[Int](52)) == coll18(placeholder[Int](53)))) && (box15.R5[Coll[Int]].get(placeholder[Int](54)) == coll18(placeholder[Int](55)))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](56))) && (box15.R8[Long].get == placeholder[Long](57))) && (box15.R9[Long].get == l19)) && (l16 == placeholder[Long](58))) && (box25.tokens.size == placeholder[Int](59))) && (box25.tokens(placeholder[Int](60))._1 == placeholder[Coll[Byte]](61))) && \n val coll31 = box15.R5[Coll[Int]].get\n val i32 = coll31(placeholder[Int](62))\n ((((i32 <= placeholder[Int](63)) && (coll31(placeholder[Int](64)) <= placeholder[Int](65))) && (coll31(placeholder[Int](66)) == i28)) && (box25.tokens(placeholder[Int](67))._2 >= i32 + coll31(placeholder[Int](68)) - i29 + i30.toLong)) || ((((i32 == i29) && (coll31(placeholder[Int](69)) == i30)) && (coll31(placeholder[Int](70)) == i28 + placeholder[Int](71))) && (box25.tokens(placeholder[Int](72))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](73) * i28 + placeholder[Int](74))))\n } else { placeholder[Boolean](75) } } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) }) || sigmaProp(\n (\n if (bool9 && (l13 == placeholder[Long](78))) {\n if (i24 > placeholder[Int](79)) {\n if (coll26 == coll14) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box25.value >= max(l20 * placeholder[Long](80) * l12 / placeholder[Long](81), placeholder[Long](82))) && (\n OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](84)).value >= l20)\n ) && bool22\n ) && (l16 == placeholder[Long](85))\n ) && bool27\n ) && (box15.R5[Coll[Int]].get == coll18)\n ) && (box15.R7[Long].get == placeholder[Long](86))\n ) && (box15.R8[Long].get == placeholder[Long](87))\n ) && (box15.R9[Long].get == l19)\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) } || if ((bool9 && bool23) && (l13 == placeholder[Long](91))) {\n if (i24 >= placeholder[Int](92)) {\n if (blake2b256(OUTPUTS(placeholder[Int](93)).propositionBytes) == coll3(placeholder[Int](94))) {\n blake2b256(INPUTS(placeholder[Int](95)).propositionBytes) == coll3(placeholder[Int](96))\n } else { placeholder[Boolean](97) }\n } else { placeholder[Boolean](98) }\n } else { placeholder[Boolean](99) }\n ) || if ((bool9 && bool23) && (l13 == placeholder[Long](100))) {\n (\n (\n (\n ((bool27 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](101))) && (box15.R8[Long].get == placeholder[Long](102))\n ) && (box15.R9[Long].get == l19)\n ) && (l16 == placeholder[Long](103))\n ) || (\n (\n (\n (((box25.R4[Coll[Byte]].get == coll17) && (box25.R6[SigmaProp].get == prop2)) && (box25.R7[Long].get == placeholder[Long](104))) && (\n box25.R8[Long].get == placeholder[Long](105)\n )\n ) && (box25.R9[Long].get == l19)\n ) && (box25.tokens(placeholder[Int](106))._2 == placeholder[Long](107))\n )\n } else { placeholder[Boolean](108) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "10050202000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,0,0,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R4": {
"serializedValue": "0e5f5469743a6336623733653a3666303862373a313a323a4d3136302c313532513132352c3137392c38372e352c3135325135302c3132352c38372e352c313030513132352c37352c3136302c313030513139352c3132352c3136302c3135325a",
"sigmaType": "Coll[SByte]",
"renderedValue": "5469743a6336623733653a3666303862373a313a323a4d3136302c313532513132352c3137392c38372e352c3135325135302c3132352c38372e352c313030513132352c37352c3136302c313030513139352c3132352c3136302c3135325a"
}
}
},
{
"boxId": "737f0e7f1b127ce54dc954e8f4f57b94a660b27238a2ea1f206d3ae4e0e77c64",
"value": 198900000,
"index": 2,
"spendingProof": null,
"outputBlockId": "7497df3f3598ab1b19d1f754519e58eb93b855e017417235d6f3cccc382210ba",
"outputTransactionId": "fe1ee89d9598e72a792ac960fcba585aa933e720fbd95e7fafc738a180e9a3e5",
"outputIndex": 2,
"outputGlobalIndex": 21269963,
"outputCreatedAt": 833156,
"outputSettledAt": 833158,
"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: 5\n14: 2\n15: 4\n16: 1\n17: 2\n18: 4\n19: 3\n20: 5\n21: 5\n22: 2\n23: 0\n24: 3\n25: 6\n26: 3\n27: 2\n28: 4\n29: 1\n30: 0\n31: 3\n32: 6\n33: 3\n34: 2\n35: 4\n36: 1\n37: 3\n38: 5\n39: 1\n40: 2\n41: 0\n42: 1\n43: 3\n44: 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)\n45: 3\n46: 2\n47: 0\n48: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n49: 0\n50: 0\n51: false\n52: 0\n53: 0\n54: false\n55: 2\n56: 2\n57: 2000000\n58: 2\n59: 2\n60: 2000000\n61: 2\n62: 1\n63: 0\n64: 0\n65: 0\n66: false\n67: 3\n68: 1\n69: 0\n70: 0\n71: 0\n72: false\n73: 0\n74: 1\n75: 2\n76: 1\n77: 3\n78: 1\n79: 4\n80: 0\n81: 1\n82: 2\n83: 1\n84: 3\n85: 4\n86: false\n87: 0\n88: 1\n89: 2\n90: 1\n91: 3\n92: 1\n93: 4\n94: 0\n95: 1\n96: 2\n97: 1\n98: 3\n99: 4\n100: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = OUTPUTS(placeholder[Int](1))\n val coll3 = box1.R4[Coll[Coll[Byte]]].get(placeholder[Int](2))\n val prop4 = SELF.R4[SigmaProp].get\n val box5 = OUTPUTS(placeholder[Int](3))\n val prop6 = SELF.R7[SigmaProp].get\n val coll7 = CONTEXT.headers(placeholder[Int](4)).id\n val bi8 = byteArrayToBigInt(coll7.slice(placeholder[Int](5), placeholder[Int](6)))\n val bi9 = placeholder[BigInt](7)\n val coll10 = SELF.R9[Coll[Int]].get\n val i11 = coll10(placeholder[Int](8))\n val i12 = coll10(placeholder[Int](9))\n val coll13 = box1.R5[Coll[Long]].get\n val i14 = coll10(placeholder[Int](10))\n val i15 = placeholder[Int](11) * i14\n val l16 = placeholder[Int](12) * i11 + placeholder[Int](13) * i12.toLong + coll13(i15 + placeholder[Int](14))\n val l17 = coll13(placeholder[Int](15))\n val coll18 = SELF.R6[Coll[Int]].get\n val i19 = coll18(placeholder[Int](16))\n val i20 = coll18(placeholder[Int](17))\n val i21 = coll18(placeholder[Int](18))\n val i22 = placeholder[Int](19) * i21\n val l23 = placeholder[Int](20) * i19 + placeholder[Int](21) * i20.toLong + coll13(i22 + placeholder[Int](22))\n val i24 = coll10(placeholder[Int](23))\n val i25 = coll10(placeholder[Int](24))\n val l26 = placeholder[Int](25) * i24 + placeholder[Int](26) * i11 + placeholder[Int](27) * i12 + placeholder[Int](28) * i25.toLong + coll13(\n i15 + placeholder[Int](29)\n )\n val i27 = coll18(placeholder[Int](30))\n val i28 = coll18(placeholder[Int](31))\n val l29 = placeholder[Int](32) * i27 + placeholder[Int](33) * i19 + placeholder[Int](34) * i20 + placeholder[Int](35) * i28.toLong + coll13(\n i22 + placeholder[Int](36)\n )\n val bi30 = max(max(bi8, bi9 * bi8), min(l16 + l17, l23).toBigInt) + min(l26 + l17, l29).toBigInt\n val bi31 = byteArrayToBigInt(coll7.slice(placeholder[Int](37), placeholder[Int](38)))\n val bi32 = max(max(bi31, bi9 * bi31), min(l23 + l17, l16).toBigInt) + min(l29 + l17, l26).toBigInt\n val bool33 = bi30 > bi32\n val l34 = coll13(placeholder[Int](39))\n val l35 = SELF.value + l34 / placeholder[Long](40)\n val l36 = INPUTS(placeholder[Int](41)).value\n val l37 = INPUTS(placeholder[Int](42)).value\n val bool38 = bi30 <= bi32\n val bool39 = OUTPUTS.size > placeholder[Int](43)\n val coll40 = placeholder[Coll[Byte]](44)\n val l41 = coll13(placeholder[Int](45))\n val l42 = coll13(placeholder[Int](46))\n val opt43 = box2.R5[Coll[Int]]\n val opt44 = box5.R5[Coll[Int]]\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](47))._1 == placeholder[Coll[Byte]](48), if (blake2b256(box2.propositionBytes) == coll3) {\n (((box2.R6[SigmaProp].get == prop4) && (box2.R7[Long].get == placeholder[Long](49))) && (box2.R8[Long].get == placeholder[Long](50))) && (\n box2.R9[Long].get == SELF.R5[Long].get\n )\n } else { placeholder[Boolean](51) }, if (blake2b256(box5.propositionBytes) == coll3) {\n (((box5.R6[SigmaProp].get == prop6) && (box5.R7[Long].get == placeholder[Long](52))) && (box5.R8[Long].get == placeholder[Long](53))) && (\n box5.R9[Long].get == SELF.R8[Long].get\n )\n } else { placeholder[Boolean](54) }, anyOf(\n Coll[Boolean](\n (bool33 && (box2.value == l36 + placeholder[Long](55) * l35 - placeholder[Long](56) * l34 - placeholder[Long](57))) && (box5.value == l37), (\n bool38 && (box2.value == l36)\n ) && (box5.value == l37 + placeholder[Long](58) * l35 - placeholder[Long](59) * l34 - placeholder[Long](60))\n )\n ), if (bool39) {(\n val box45 = OUTPUTS(placeholder[Int](61))\n (\n ((box45.propositionBytes == prop4.propBytes) && (box45.tokens.size == placeholder[Int](62))) && (box45.tokens(placeholder[Int](63))._1 == coll40)\n ) && ((bool33 && (box45.tokens(placeholder[Int](64))._2 == l41)) || (bool38 && (box45.tokens(placeholder[Int](65))._2 == l42)))\n )} else { placeholder[Boolean](66) }, if (bool39) {(\n val box45 = OUTPUTS(placeholder[Int](67))\n (\n ((box45.propositionBytes == prop6.propBytes) && (box45.tokens.size == placeholder[Int](68))) && (box45.tokens(placeholder[Int](69))._1 == coll40)\n ) && ((bool33 && (box45.tokens(placeholder[Int](70))._2 == l42)) || (bool38 && (box45.tokens(placeholder[Int](71))._2 == l41)))\n )} else { placeholder[Boolean](72) }, if (opt43.isDefined) {(\n val coll45 = opt43.get\n anyOf(\n Coll[Boolean](\n (\n (\n ((bool33 && (coll45(placeholder[Int](73)) == i27)) && (coll45(placeholder[Int](74)) == i19)) && (\n coll45(placeholder[Int](75)) == i20 + placeholder[Int](76)\n )\n ) && (coll45(placeholder[Int](77)) == i28 + placeholder[Int](78))\n ) && (coll45(placeholder[Int](79)) == i21), (\n (\n ((bool38 && (coll45(placeholder[Int](80)) == i27)) && (coll45(placeholder[Int](81)) == i19)) && (\n coll45(placeholder[Int](82)) == i20 + placeholder[Int](83)\n )\n ) && (coll45(placeholder[Int](84)) == i28)\n ) && (coll45(placeholder[Int](85)) == i21)\n )\n )\n )} else { placeholder[Boolean](86) }, if (opt44.isDefined) {(\n val coll45 = opt44.get\n anyOf(\n Coll[Boolean](\n (\n (\n ((bool38 && (coll45(placeholder[Int](87)) == i24)) && (coll45(placeholder[Int](88)) == i11)) && (\n coll45(placeholder[Int](89)) == i12 + placeholder[Int](90)\n )\n ) && (coll45(placeholder[Int](91)) == i25 + placeholder[Int](92))\n ) && (coll45(placeholder[Int](93)) == i14), (\n (\n ((bool33 && (coll45(placeholder[Int](94)) == i24)) && (coll45(placeholder[Int](95)) == i11)) && (\n coll45(placeholder[Int](96)) == i12 + placeholder[Int](97)\n )\n ) && (coll45(placeholder[Int](98)) == i25)\n ) && (coll45(placeholder[Int](99)) == i14)\n )\n )\n )} else { placeholder[Boolean](100) }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
"index": 1,
"amount": 4,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0508",
"sigmaType": "SLong",
"renderedValue": "4"
},
"R6": {
"serializedValue": "10050202000002",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,0,0,1]"
},
"R8": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R7": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R9": {
"serializedValue": "10050202000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,0,0,0]"
},
"R4": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
}
}
}
],
"dataInputs": [
{
"boxId": "b8bef77d1fb0d69e64a7fdea267db097651b1fb9366a307f8aa8919cd76eb0ca",
"value": 1000000,
"index": 0,
"outputBlockId": "99fb86d62b91583b2d420523a10e90dbaf424ddca80efdf54235a1b0e0cd359e",
"outputTransactionId": "60030db505154d81b2acaa9f4751ddc9419e5593479038be4f017e193506198d",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a04202dfa37a82d35cbbbd43961a659104762deaa9b4a7d8e18da304d267dce8b8a0320cfffd84eb10f09a1cff221d731777fc3c525af060db37ae7f6745342e47b1f5d204e5d946b409e5181149a9f59e65c67f33457597bdd442cd2fc870aa061237215201e0bd8ad69f1b1160303b527205007a7107fec6029435d1ab14305d1bfa72e06",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[2dfa37a82d35cbbbd43961a659104762deaa9b4a7d8e18da304d267dce8b8a03,cfffd84eb10f09a1cff221d731777fc3c525af060db37ae7f6745342e47b1f5d,4e5d946b409e5181149a9f59e65c67f33457597bdd442cd2fc870aa061237215,1e0bd8ad69f1b1160303b527205007a7107fec6029435d1ab14305d1bfa72e06]"
},
"R5": {
"serializedValue": "11060ac0a386010206c83380897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,1100000,1,3,3300,1000000]"
},
"R6": {
"serializedValue": "110c000032323290036464e807c801c801d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,25,25,25,200,50,50,500,100,100,1000]"
}
}
}
],
"outputs": [
{
"boxId": "285cdba743a428cd3e8144e3a38d49278f6be918c22b759b82040013ce08548d",
"transactionId": "608ebe1dfaa2ff681cbfd2201cabb36c7499babff114cdc246f574866b0e4429",
"blockId": "89f3b18c96adedbe6c1207bafbbb0fb8161642b2b8577e6e397d73e1e054b781",
"value": 203700000,
"index": 0,
"globalIndex": 21270460,
"creationHeight": 833159,
"settlementHeight": 833163,
"ergoTree": "106d04000e2027906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c90402058092f401040004020400010004000406040008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e040004000402040204080400040204000e2009ef6c93c6fe2534d6b840c8524a173fea2b7cb1bb0c1c1f0f739dc310e6d10b040005d00f0580897a0400050404020402010001000500040205d00f0580897a0504050005000500010001000500050405040502010005060504050005000100050004040404040404060406050005000504040204000e20c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99040004d00f040204d00f04080400040204020408040204000406040201000100010005040406050405d00f0580897a04040404050405000500010001000100050204080404040204040404010001000100050605000500050405000500040005040100d81ed601b2db6501fe730000d602e4c6a70608d603e4c67201041ad6047301d605e4c672010511d606b27205730200d6079a73037206d608d9010804d801d60ab2a57208009593cbc2720ab27203730400d801d60bdb6308720aeded93b1720b7305938cb2720b73060001720492c1720a72077307d609da7208017308d60ab27203730900d60bc1a7d60cb27205730a00d60de4c6a70705d60ed0730bd60fb2a5730c00d6108cb2db6308720f730d0002d611e4c6a7040ed612e4c6a70510d613e4c6a70905d614e4c6a70805d615c1720fd616937215720bd617da720801730ed618b1a5d619b2a5730f00d61ac27219d61b93e4c6720f040e7211d61cb27212731000d61db27212731100d61eb27212731200ea02d1938cb2db63087201731300017314eb02ea027202d1ecececec95ef7209d802d61fb2a5731500d620a29d9c720b720c731673179593cbc2721f720ad801d621b2db6308721f731800edededed938c7221017204938c722102731992c1721f722093c2b2a5731a00d0720292c1b2a5731b009999720b72207206731c731d95ed720993720d731ed802d61fb2a5731f00d62099720bc1720f9593c2721f720eedededededededed92c1721fa29d9ca272207220720c73207321937210732293e4c6720f040e721193e4c6720f0510721293e4c6720f0608720293e4c6720f0705732393e4c6720f0805732493e4c6720f0905721393721473257326732795ed720993720d7328edededededed937215720b937210732993e4c6720f040e721193e4c6720f0510721293e4c6720f0608720293e4c6720f09057213d801d61fe4c6720f0705ec93721f732aed93721f732b90e4c6720f080599720b7207732c95ed720994720d732dededededededed7216937210732e93e4c6720f040e721193e4c6720f0510721293e4c6720f0608720293e4c6720f0705732f93e4c6720f0805733093e4c6720f09057213733195eded7209ef721793720d73329591721873339593cb721a720aededededededededededed7216721b93b2e4c6720f0510733400b2721273350093b2e4c6720f0510733600b2721273370093e4c6720f0608720293e4c6720f0705733893e4c6720f0805733993e4c6720f09057213937210733a93b1db63087219733b938cb2db63087219733c0001733dd802d61fe4c6720f0510d620b2721f733e00ecededed907220733f90b2721f734000734193b2721f734200721c928cb2db63087219734300027e999a7220b2721f7344009a721d721e05ededed937220721d93b2721f734500721e93b2721f7346009a721c7347928cb2db6308721973480002b2e4c6720106119c73499a721c734a00734b734c734dd1ecec95ed720993720d734e95917218734f9593721a720eededededededededed92c17219a29d9c9c72147350720c7351735293c2b2a5735300d0720292c1b2a5735400721472169372107355721b93e4c6720f0510721293e4c6720f0705735693e4c6720f0805735793e4c6720f0905721373587359735a95eded7209721793720d735b95927218735c9593cbc2b2a5735d00b27203735e0093cbc2b2a4735f00b2720373600073617362736395eded7209721793720d7364ecededededed721b93e4c6720f0608720293e4c6720f0705736593e4c6720f0805736693e4c6720f090572139372107367ededededed93e4c67219040e721193e4c672190608720293e4c672190705736893e4c672190805736993e4c6721909057213938cb2db63087219736a0002736b736c",
"ergoTreeConstants": "0: 0\n1: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n2: 1\n3: 2000000\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 3\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 1\n15: 1\n16: 4\n17: 0\n18: 1\n19: 0\n20: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n21: 0\n22: 1000\n23: 1000000\n24: 0\n25: 2\n26: 1\n27: 1\n28: false\n29: false\n30: 0\n31: 1\n32: 1000\n33: 1000000\n34: 2\n35: 0\n36: 0\n37: 0\n38: false\n39: false\n40: 0\n41: 2\n42: 2\n43: 1\n44: false\n45: 3\n46: 2\n47: 0\n48: 0\n49: false\n50: 0\n51: 2\n52: 2\n53: 2\n54: 3\n55: 3\n56: 0\n57: 0\n58: 2\n59: 1\n60: 0\n61: 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)\n62: 0\n63: 1000\n64: 1\n65: 1000\n66: 4\n67: 0\n68: 1\n69: 1\n70: 4\n71: 1\n72: 0\n73: 3\n74: 1\n75: false\n76: false\n77: false\n78: 2\n79: 3\n80: 2\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: false\n89: false\n90: false\n91: 1\n92: 4\n93: 2\n94: 1\n95: 2\n96: 2\n97: false\n98: false\n99: false\n100: 3\n101: 0\n102: 0\n103: 2\n104: 0\n105: 0\n106: 0\n107: 2\n108: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = box1.R4[Coll[Coll[Byte]]].get\n val coll4 = placeholder[Coll[Byte]](1)\n val coll5 = box1.R5[Coll[Long]].get\n val l6 = coll5(placeholder[Int](2))\n val l7 = placeholder[Long](3) + l6\n val func8 = {(i8: Int) =>\n val box10 = OUTPUTS(i8)\n if (blake2b256(box10.propositionBytes) == coll3(placeholder[Int](4))) {(\n val coll11 = box10.tokens\n ((coll11.size == placeholder[Int](5)) && (coll11(placeholder[Int](6))._1 == coll4)) && (box10.value >= l7)\n )} else { placeholder[Boolean](7) }\n }\n val bool9 = func8(placeholder[Int](8))\n val coll10 = coll3(placeholder[Int](9))\n val l11 = SELF.value\n val l12 = coll5(placeholder[Int](10))\n val l13 = SELF.R7[Long].get\n val coll14 = placeholder[SigmaProp](11).propBytes\n val box15 = OUTPUTS(placeholder[Int](12))\n val l16 = box15.tokens(placeholder[Int](13))._2\n val coll17 = SELF.R4[Coll[Byte]].get\n val coll18 = SELF.R5[Coll[Int]].get\n val l19 = SELF.R9[Long].get\n val l20 = SELF.R8[Long].get\n val l21 = box15.value\n val bool22 = l21 == l11\n val bool23 = func8(placeholder[Int](14))\n val i24 = OUTPUTS.size\n val box25 = OUTPUTS(placeholder[Int](15))\n val coll26 = box25.propositionBytes\n val bool27 = box15.R4[Coll[Byte]].get == coll17\n val i28 = coll18(placeholder[Int](16))\n val i29 = coll18(placeholder[Int](17))\n val i30 = coll18(placeholder[Int](18))\n sigmaProp(box1.tokens(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20)) && prop2 && sigmaProp((((if (!bool9) {(\n val box31 = OUTPUTS(placeholder[Int](21))\n val l32 = max(l11 * l12 / placeholder[Long](22), placeholder[Long](23))\n if (blake2b256(box31.propositionBytes) == coll10) {(\n val tuple33 = box31.tokens(placeholder[Int](24))\n ((((tuple33._1 == coll4) && (tuple33._2 == placeholder[Long](25))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](26)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](27)).value >= l11 - l32 - l6)\n )} else { placeholder[Boolean](28) }\n )} else { placeholder[Boolean](29) } || if (bool9 && (l13 == placeholder[Long](30))) {(\n val box31 = OUTPUTS(placeholder[Int](31))\n val l32 = l11 - box15.value\n if (box31.propositionBytes == coll14) { ((((((((box31.value >= max(max(l32, l32) * l12 / placeholder[Long](32), placeholder[Long](33))) && (l16 == placeholder[Long](34))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](35))) && (box15.R8[Long].get == placeholder[Long](36))) && (box15.R9[Long].get == l19)) && (l20 == placeholder[Long](37)) } else { placeholder[Boolean](38) }\n )} else { placeholder[Boolean](39) }) || if (bool9 && (l13 == placeholder[Long](40))) { ((((((l21 == l11) && (l16 == placeholder[Long](41))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l19)) && \n val l31 = box15.R7[Long].get\n (l31 == placeholder[Long](42)) || ((l31 == placeholder[Long](43)) && (box15.R8[Long].get <= l11 - l7))\n } else { placeholder[Boolean](44) }) || if (bool9 && (l13 != placeholder[Long](45))) { ((((((bool22 && (l16 == placeholder[Long](46))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](47))) && (box15.R8[Long].get == placeholder[Long](48))) && (box15.R9[Long].get == l19) } else { placeholder[Boolean](49) }) || if ((bool9 && (!bool23)) && (l13 == placeholder[Long](50))) { if (i24 > placeholder[Int](51)) { if (blake2b256(coll26) == coll10) { ((((((((((bool22 && bool27) && (box15.R5[Coll[Int]].get(placeholder[Int](52)) == coll18(placeholder[Int](53)))) && (box15.R5[Coll[Int]].get(placeholder[Int](54)) == coll18(placeholder[Int](55)))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](56))) && (box15.R8[Long].get == placeholder[Long](57))) && (box15.R9[Long].get == l19)) && (l16 == placeholder[Long](58))) && (box25.tokens.size == placeholder[Int](59))) && (box25.tokens(placeholder[Int](60))._1 == placeholder[Coll[Byte]](61))) && \n val coll31 = box15.R5[Coll[Int]].get\n val i32 = coll31(placeholder[Int](62))\n ((((i32 <= placeholder[Int](63)) && (coll31(placeholder[Int](64)) <= placeholder[Int](65))) && (coll31(placeholder[Int](66)) == i28)) && (box25.tokens(placeholder[Int](67))._2 >= i32 + coll31(placeholder[Int](68)) - i29 + i30.toLong)) || ((((i32 == i29) && (coll31(placeholder[Int](69)) == i30)) && (coll31(placeholder[Int](70)) == i28 + placeholder[Int](71))) && (box25.tokens(placeholder[Int](72))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](73) * i28 + placeholder[Int](74))))\n } else { placeholder[Boolean](75) } } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) }) || sigmaProp(\n (\n if (bool9 && (l13 == placeholder[Long](78))) {\n if (i24 > placeholder[Int](79)) {\n if (coll26 == coll14) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box25.value >= max(l20 * placeholder[Long](80) * l12 / placeholder[Long](81), placeholder[Long](82))) && (\n OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](84)).value >= l20)\n ) && bool22\n ) && (l16 == placeholder[Long](85))\n ) && bool27\n ) && (box15.R5[Coll[Int]].get == coll18)\n ) && (box15.R7[Long].get == placeholder[Long](86))\n ) && (box15.R8[Long].get == placeholder[Long](87))\n ) && (box15.R9[Long].get == l19)\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) } || if ((bool9 && bool23) && (l13 == placeholder[Long](91))) {\n if (i24 >= placeholder[Int](92)) {\n if (blake2b256(OUTPUTS(placeholder[Int](93)).propositionBytes) == coll3(placeholder[Int](94))) {\n blake2b256(INPUTS(placeholder[Int](95)).propositionBytes) == coll3(placeholder[Int](96))\n } else { placeholder[Boolean](97) }\n } else { placeholder[Boolean](98) }\n } else { placeholder[Boolean](99) }\n ) || if ((bool9 && bool23) && (l13 == placeholder[Long](100))) {\n (\n (\n (\n ((bool27 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](101))) && (box15.R8[Long].get == placeholder[Long](102))\n ) && (box15.R9[Long].get == l19)\n ) && (l16 == placeholder[Long](103))\n ) || (\n (\n (\n (((box25.R4[Coll[Byte]].get == coll17) && (box25.R6[SigmaProp].get == prop2)) && (box25.R7[Long].get == placeholder[Long](104))) && (\n box25.R8[Long].get == placeholder[Long](105)\n )\n ) && (box25.R9[Long].get == l19)\n ) && (box25.tokens(placeholder[Int](106))._2 == placeholder[Long](107))\n )\n } else { placeholder[Boolean](108) }\n )\n}",
"address": "uwcaw7YxXQiemkFM53JewzAxDrSfGSyz5ByMZYAuk4Zts67SnoUqu1TKmZBeLC2cPNdEiRuM9JbsYp7fNji4NKeT9uyV3d4Cy55UgWk7yxDNufST5c6FEAFVzmMcMh1WpfBjcYVw3WG3o33xYpvdXiV6zR8TugfGNyaVXhRmBTFcPaVx5miGsLbNTc6GhUuJJhdmMNvqRjuaz3ULLottVDToWSZcZDWCFr4AFqnjiQeeUudHKih2VFNFAC8TzwDDPSwVBcgYi461RvJvCMehSMxz3bcJ883Eq3cBxNZebfEbCuvzmUevarKuhvRaC9Q2uNbyCnqMbee4pGTJ85AGuzhcj3nejuRtoEkMDFohvyddUhZaifeA3hCmXSk5mxNBUBFDjFLva67WMQ9rXV3TY2ic2rNF5YSTByWaspXzDiYmdxVvZxQRHHhJgCgbsWMSaX9NtP5mEap1e723ZgqMs7Wz1mjLrp8t19ZS7Hx92HE7F16b5LNQyYJrFvyboJb654MuGYLeFK2bVe1K9SEcBMc7KNETxPRT1ceUdBrvZp6XnxbWHeoGsyb3CyvDnCP3jgDXizBtGN14yLDGi7aYp4zPYr2XL7k9aantKEjE3Nq8oubmCnqWsXt5ahQ7VwcxVUD71tamwEWqTQXGYWnyGXmqm6LjcKMX6L5etpPGbCtC2eQTWdwHMneyeWAwxpUdMueHZ59NeZpo3TRdSxDPFQ3E1JPdeN3bMMFg3AXhueY9x3U968pEncQYqyFKkJ1L39TMDWavaCDrgrg4SjctkTr3upEo3DMcAELHnKuZLicTb4CgCu8wjX9s2SegTrNETjm1cxbxEeFSTpYs6PZAxMx9iqdSN9juQHQSQR77xgCnVwdarsf55RuSwr1iUzgRHhP9efGPrqN8L6VXXNwDDA6ubVhseXCyqKgruwkwPfHTysh1ZcQ6bfRga7qC4hyYt1bG2xF4ZfZ2uMvYeEGzi2Wm8xJwgDgXjYRQUyhjw2zyUszVRf7um87mDCMu4rMoY392KMuTTr4NhbafdY6wP59B7Qy8BkSFwe486wvgAXAbSz3TJryitdfw1u53FXyzen6vNPwycs97Ft2T9uJDHN56iAtA2nxDKtTWLFwyhBWm868MhgW3FrUNCArs9S1NpTVQkwkdqzJHaKbwnXGyrTXCtMUJm83pHR8AzCBv5W7GiJ948s1yK25Vh6qY5iZw1WyswvZH8Ksz4aYkcK32yHpk2ucSxBXBj3jCBaF3fhcUqXt1eR9Ya1nCMJK5wUKM534P8RC8aQiyxvhEuiebQrzKtES4FGshjY6KDYz1ChW8jHYi6ydwLAsHKFaegXgADunk9r5pdaKDvTYKC9ZxK6KnsCWYoxwKb92GSBsEqU6jUSVWgoL2JzT9ui23eWUoPFEiGTkJ2moNFW8QQa8cXVJA6twGrgi9f1aqbgGBG6YYqSonx9GDuJncpDRUUonmye9HgMmPowYqWPZaCL2k11yx8PotdxAqfybAGoUNYqj6YfSXU9g9DbXHoR8F8kNEmgrjFBEXb9sJfnWuK6ra9MeRyAexM2Y4Vn2M8f1FzHa76SDEUaVn9Baj7GcVZTLPn3k2eaCX8LR7GWYiwWBCfeKSjpbgAfGut3xYRHbtNWyH3VGSsoNsUmhz2cNPDtrJSry2LusJWiSasv3s6pERuqj1TrmK3HpD5sdyZpTy5FjFfF5WVstiLogfWFpEKSEXxfSgZc5499LoDg23nZxn7vvnN7WBSAmFLBTXWRthpLX5WHJBExJnPZnLM83u7gHzjwwvCCMwn8dzmUq8Khf9Ju6szWBPeVApXGcrp2FKNPVGqiNQrnNf2vevSsMq2KoK9dRdv8Q6oEdUz299ge1juVmL6Up9rr4M2Rkue4LpzMiozUjzQnHia6WT2KGT96iWWgu2WuPUhAJ9yDv8xCHtCvCwgdzW4sJhuvLq1t9ibJPtwHnz8xtfYfw9v1NrLzkrvwKG94tNdK6avX55JAtBHC52sNEZE8HTbupEjRCkMTio6JJgQwSpUXXFEab44agyDB2houmU7UUyJVs5m75Zo5cDfoiXj6vF1bbnGWzfdkwPWstniGEP49HzLQns1tAg93L7dhf3UBr9ozvgYjTGVN9LftdJhvJXNXzcKUV2VYo7qBnqngKvKWYrCCgehreepzp7G8AaX8ZQY6VoEhrN6xBpsgenyGtMxqy8SqrjZSe2Sh2zQ9KutAKZKd1m6FT1A8q3coihHHdzidn",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "10050202020202",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,1,1,1]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0508",
"sigmaType": "SLong",
"renderedValue": "4"
},
"R4": {
"serializedValue": "0ea80144656c74613a6366323032643a6234346164643a333a343a4d3138372c3136332e35513230322c3230322c3136332e352c3138372e35513132352c3137332c3130382c3136365139312c3135392c35372e352c3134325132342c3132352c35362c3130362e355138382c38382c3130362e352c3437513132352c362c3135302c34302e35513137352c37352c3137332e352c313030513137322c3132352c3138372c3136332e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "44656c74613a6366323032643a6234346164643a333a343a4d3138372c3136332e35513230322c3230322c3136332e352c3138372e35513132352c3137332c3130382c3136365139312c3135392c35372e352c3134325132342c3132352c35362c3130362e355138382c38382c3130362e352c3437513132352c362c3135302c34302e35513137352c37352c3137332e352c313030513137322c3132352c3138372c3136332e355a"
}
},
"spentTransactionId": "76af4ad45efe858a0076eecde5e2bf9d8637b4c7cbd941da480c3c80a44ed715",
"mainChain": true
},
{
"boxId": "41e4ce57282abe206cee81d9175e64f6f9975b3777154b9c502c8f2aa165c9bf",
"transactionId": "608ebe1dfaa2ff681cbfd2201cabb36c7499babff114cdc246f574866b0e4429",
"blockId": "89f3b18c96adedbe6c1207bafbbb0fb8161642b2b8577e6e397d73e1e054b781",
"value": 7900000,
"index": 1,
"globalIndex": 21270461,
"creationHeight": 833159,
"settlementHeight": 833163,
"ergoTree": "106d04000e2027906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c90402058092f401040004020400010004000406040008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e040004000402040204080400040204000e2009ef6c93c6fe2534d6b840c8524a173fea2b7cb1bb0c1c1f0f739dc310e6d10b040005d00f0580897a0400050404020402010001000500040205d00f0580897a0504050005000500010001000500050405040502010005060504050005000100050004040404040404060406050005000504040204000e20c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99040004d00f040204d00f04080400040204020408040204000406040201000100010005040406050405d00f0580897a04040404050405000500010001000100050204080404040204040404010001000100050605000500050405000500040005040100d81ed601b2db6501fe730000d602e4c6a70608d603e4c67201041ad6047301d605e4c672010511d606b27205730200d6079a73037206d608d9010804d801d60ab2a57208009593cbc2720ab27203730400d801d60bdb6308720aeded93b1720b7305938cb2720b73060001720492c1720a72077307d609da7208017308d60ab27203730900d60bc1a7d60cb27205730a00d60de4c6a70705d60ed0730bd60fb2a5730c00d6108cb2db6308720f730d0002d611e4c6a7040ed612e4c6a70510d613e4c6a70905d614e4c6a70805d615c1720fd616937215720bd617da720801730ed618b1a5d619b2a5730f00d61ac27219d61b93e4c6720f040e7211d61cb27212731000d61db27212731100d61eb27212731200ea02d1938cb2db63087201731300017314eb02ea027202d1ecececec95ef7209d802d61fb2a5731500d620a29d9c720b720c731673179593cbc2721f720ad801d621b2db6308721f731800edededed938c7221017204938c722102731992c1721f722093c2b2a5731a00d0720292c1b2a5731b009999720b72207206731c731d95ed720993720d731ed802d61fb2a5731f00d62099720bc1720f9593c2721f720eedededededededed92c1721fa29d9ca272207220720c73207321937210732293e4c6720f040e721193e4c6720f0510721293e4c6720f0608720293e4c6720f0705732393e4c6720f0805732493e4c6720f0905721393721473257326732795ed720993720d7328edededededed937215720b937210732993e4c6720f040e721193e4c6720f0510721293e4c6720f0608720293e4c6720f09057213d801d61fe4c6720f0705ec93721f732aed93721f732b90e4c6720f080599720b7207732c95ed720994720d732dededededededed7216937210732e93e4c6720f040e721193e4c6720f0510721293e4c6720f0608720293e4c6720f0705732f93e4c6720f0805733093e4c6720f09057213733195eded7209ef721793720d73329591721873339593cb721a720aededededededededededed7216721b93b2e4c6720f0510733400b2721273350093b2e4c6720f0510733600b2721273370093e4c6720f0608720293e4c6720f0705733893e4c6720f0805733993e4c6720f09057213937210733a93b1db63087219733b938cb2db63087219733c0001733dd802d61fe4c6720f0510d620b2721f733e00ecededed907220733f90b2721f734000734193b2721f734200721c928cb2db63087219734300027e999a7220b2721f7344009a721d721e05ededed937220721d93b2721f734500721e93b2721f7346009a721c7347928cb2db6308721973480002b2e4c6720106119c73499a721c734a00734b734c734dd1ecec95ed720993720d734e95917218734f9593721a720eededededededededed92c17219a29d9c9c72147350720c7351735293c2b2a5735300d0720292c1b2a5735400721472169372107355721b93e4c6720f0510721293e4c6720f0705735693e4c6720f0805735793e4c6720f0905721373587359735a95eded7209721793720d735b95927218735c9593cbc2b2a5735d00b27203735e0093cbc2b2a4735f00b2720373600073617362736395eded7209721793720d7364ecededededed721b93e4c6720f0608720293e4c6720f0705736593e4c6720f0805736693e4c6720f090572139372107367ededededed93e4c67219040e721193e4c672190608720293e4c672190705736893e4c672190805736993e4c6721909057213938cb2db63087219736a0002736b736c",
"ergoTreeConstants": "0: 0\n1: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n2: 1\n3: 2000000\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 3\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 1\n15: 1\n16: 4\n17: 0\n18: 1\n19: 0\n20: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n21: 0\n22: 1000\n23: 1000000\n24: 0\n25: 2\n26: 1\n27: 1\n28: false\n29: false\n30: 0\n31: 1\n32: 1000\n33: 1000000\n34: 2\n35: 0\n36: 0\n37: 0\n38: false\n39: false\n40: 0\n41: 2\n42: 2\n43: 1\n44: false\n45: 3\n46: 2\n47: 0\n48: 0\n49: false\n50: 0\n51: 2\n52: 2\n53: 2\n54: 3\n55: 3\n56: 0\n57: 0\n58: 2\n59: 1\n60: 0\n61: 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)\n62: 0\n63: 1000\n64: 1\n65: 1000\n66: 4\n67: 0\n68: 1\n69: 1\n70: 4\n71: 1\n72: 0\n73: 3\n74: 1\n75: false\n76: false\n77: false\n78: 2\n79: 3\n80: 2\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: false\n89: false\n90: false\n91: 1\n92: 4\n93: 2\n94: 1\n95: 2\n96: 2\n97: false\n98: false\n99: false\n100: 3\n101: 0\n102: 0\n103: 2\n104: 0\n105: 0\n106: 0\n107: 2\n108: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = box1.R4[Coll[Coll[Byte]]].get\n val coll4 = placeholder[Coll[Byte]](1)\n val coll5 = box1.R5[Coll[Long]].get\n val l6 = coll5(placeholder[Int](2))\n val l7 = placeholder[Long](3) + l6\n val func8 = {(i8: Int) =>\n val box10 = OUTPUTS(i8)\n if (blake2b256(box10.propositionBytes) == coll3(placeholder[Int](4))) {(\n val coll11 = box10.tokens\n ((coll11.size == placeholder[Int](5)) && (coll11(placeholder[Int](6))._1 == coll4)) && (box10.value >= l7)\n )} else { placeholder[Boolean](7) }\n }\n val bool9 = func8(placeholder[Int](8))\n val coll10 = coll3(placeholder[Int](9))\n val l11 = SELF.value\n val l12 = coll5(placeholder[Int](10))\n val l13 = SELF.R7[Long].get\n val coll14 = placeholder[SigmaProp](11).propBytes\n val box15 = OUTPUTS(placeholder[Int](12))\n val l16 = box15.tokens(placeholder[Int](13))._2\n val coll17 = SELF.R4[Coll[Byte]].get\n val coll18 = SELF.R5[Coll[Int]].get\n val l19 = SELF.R9[Long].get\n val l20 = SELF.R8[Long].get\n val l21 = box15.value\n val bool22 = l21 == l11\n val bool23 = func8(placeholder[Int](14))\n val i24 = OUTPUTS.size\n val box25 = OUTPUTS(placeholder[Int](15))\n val coll26 = box25.propositionBytes\n val bool27 = box15.R4[Coll[Byte]].get == coll17\n val i28 = coll18(placeholder[Int](16))\n val i29 = coll18(placeholder[Int](17))\n val i30 = coll18(placeholder[Int](18))\n sigmaProp(box1.tokens(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20)) && prop2 && sigmaProp((((if (!bool9) {(\n val box31 = OUTPUTS(placeholder[Int](21))\n val l32 = max(l11 * l12 / placeholder[Long](22), placeholder[Long](23))\n if (blake2b256(box31.propositionBytes) == coll10) {(\n val tuple33 = box31.tokens(placeholder[Int](24))\n ((((tuple33._1 == coll4) && (tuple33._2 == placeholder[Long](25))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](26)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](27)).value >= l11 - l32 - l6)\n )} else { placeholder[Boolean](28) }\n )} else { placeholder[Boolean](29) } || if (bool9 && (l13 == placeholder[Long](30))) {(\n val box31 = OUTPUTS(placeholder[Int](31))\n val l32 = l11 - box15.value\n if (box31.propositionBytes == coll14) { ((((((((box31.value >= max(max(l32, l32) * l12 / placeholder[Long](32), placeholder[Long](33))) && (l16 == placeholder[Long](34))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](35))) && (box15.R8[Long].get == placeholder[Long](36))) && (box15.R9[Long].get == l19)) && (l20 == placeholder[Long](37)) } else { placeholder[Boolean](38) }\n )} else { placeholder[Boolean](39) }) || if (bool9 && (l13 == placeholder[Long](40))) { ((((((l21 == l11) && (l16 == placeholder[Long](41))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l19)) && \n val l31 = box15.R7[Long].get\n (l31 == placeholder[Long](42)) || ((l31 == placeholder[Long](43)) && (box15.R8[Long].get <= l11 - l7))\n } else { placeholder[Boolean](44) }) || if (bool9 && (l13 != placeholder[Long](45))) { ((((((bool22 && (l16 == placeholder[Long](46))) && (box15.R4[Coll[Byte]].get == coll17)) && (box15.R5[Coll[Int]].get == coll18)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](47))) && (box15.R8[Long].get == placeholder[Long](48))) && (box15.R9[Long].get == l19) } else { placeholder[Boolean](49) }) || if ((bool9 && (!bool23)) && (l13 == placeholder[Long](50))) { if (i24 > placeholder[Int](51)) { if (blake2b256(coll26) == coll10) { ((((((((((bool22 && bool27) && (box15.R5[Coll[Int]].get(placeholder[Int](52)) == coll18(placeholder[Int](53)))) && (box15.R5[Coll[Int]].get(placeholder[Int](54)) == coll18(placeholder[Int](55)))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](56))) && (box15.R8[Long].get == placeholder[Long](57))) && (box15.R9[Long].get == l19)) && (l16 == placeholder[Long](58))) && (box25.tokens.size == placeholder[Int](59))) && (box25.tokens(placeholder[Int](60))._1 == placeholder[Coll[Byte]](61))) && \n val coll31 = box15.R5[Coll[Int]].get\n val i32 = coll31(placeholder[Int](62))\n ((((i32 <= placeholder[Int](63)) && (coll31(placeholder[Int](64)) <= placeholder[Int](65))) && (coll31(placeholder[Int](66)) == i28)) && (box25.tokens(placeholder[Int](67))._2 >= i32 + coll31(placeholder[Int](68)) - i29 + i30.toLong)) || ((((i32 == i29) && (coll31(placeholder[Int](69)) == i30)) && (coll31(placeholder[Int](70)) == i28 + placeholder[Int](71))) && (box25.tokens(placeholder[Int](72))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](73) * i28 + placeholder[Int](74))))\n } else { placeholder[Boolean](75) } } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) }) || sigmaProp(\n (\n if (bool9 && (l13 == placeholder[Long](78))) {\n if (i24 > placeholder[Int](79)) {\n if (coll26 == coll14) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box25.value >= max(l20 * placeholder[Long](80) * l12 / placeholder[Long](81), placeholder[Long](82))) && (\n OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](84)).value >= l20)\n ) && bool22\n ) && (l16 == placeholder[Long](85))\n ) && bool27\n ) && (box15.R5[Coll[Int]].get == coll18)\n ) && (box15.R7[Long].get == placeholder[Long](86))\n ) && (box15.R8[Long].get == placeholder[Long](87))\n ) && (box15.R9[Long].get == l19)\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) } || if ((bool9 && bool23) && (l13 == placeholder[Long](91))) {\n if (i24 >= placeholder[Int](92)) {\n if (blake2b256(OUTPUTS(placeholder[Int](93)).propositionBytes) == coll3(placeholder[Int](94))) {\n blake2b256(INPUTS(placeholder[Int](95)).propositionBytes) == coll3(placeholder[Int](96))\n } else { placeholder[Boolean](97) }\n } else { placeholder[Boolean](98) }\n } else { placeholder[Boolean](99) }\n ) || if ((bool9 && bool23) && (l13 == placeholder[Long](100))) {\n (\n (\n (\n ((bool27 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](101))) && (box15.R8[Long].get == placeholder[Long](102))\n ) && (box15.R9[Long].get == l19)\n ) && (l16 == placeholder[Long](103))\n ) || (\n (\n (\n (((box25.R4[Coll[Byte]].get == coll17) && (box25.R6[SigmaProp].get == prop2)) && (box25.R7[Long].get == placeholder[Long](104))) && (\n box25.R8[Long].get == placeholder[Long](105)\n )\n ) && (box25.R9[Long].get == l19)\n ) && (box25.tokens(placeholder[Int](106))._2 == placeholder[Long](107))\n )\n } else { placeholder[Boolean](108) }\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": "10050202020000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,1,0,0]"
},
"R6": {
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"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
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"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "5469743a6336623733653a3666303862373a313a323a4d3136302c313532513132352c3137392c38372e352c3135325135302c3132352c38372e352c313030513132352c37352c3136302c313030513139352c3132352c3136302c3135325a"
}
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"spentTransactionId": "d9fbbb2e4d937f8db43e862f8a91ad0cc2f9f6791f5c47cf0d7d0a2525ecf2b5",
"mainChain": true
},
{
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"transactionId": "608ebe1dfaa2ff681cbfd2201cabb36c7499babff114cdc246f574866b0e4429",
"blockId": "89f3b18c96adedbe6c1207bafbbb0fb8161642b2b8577e6e397d73e1e054b781",
"value": 1000000,
"index": 2,
"globalIndex": 21270462,
"creationHeight": 833159,
"settlementHeight": 833163,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
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"index": 0,
"amount": 3,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
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{
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"value": 1000000,
"index": 3,
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"creationHeight": 833159,
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"ergoTree": "0008cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
"address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
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}
],
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},
{
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"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)}",
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}
],
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}