Transaction
ID: 765c97225c...a24d
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.007 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.057 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.198 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.201 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.057 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:
0.002 ERG
Transaction Details
Confirmations: 938,859
Total coins transferred: 0.262 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000457 ERG
Raw Transaction Data
{
"id": "765c97225cd6b22efa187d126ade80c9871a97efddbb106ad9afdf08454ea24d",
"blockId": "38c1ceff5cace2c442f28e2432c18db0351522a392fc459d084f135b18c821b2",
"inclusionHeight": 827155,
"timestamp": 1661841481225,
"index": 16,
"globalIndex": 3872646,
"numConfirmations": 938859,
"inputs": [
{
"boxId": "2c0d9bd15384d2b34b0a19b37b60fdc6c237a65ad7a7bbed18c8df3a1e498511",
"value": 7000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "e1933011af2173989dd55a21161f2989ee4582358e9e6330f737d85cf105ad7c",
"outputTransactionId": "6a30a4434e755f96f67535fedb0c501334b52a2162349897c84ad16b34145be6",
"outputIndex": 0,
"outputGlobalIndex": 20875457,
"outputCreatedAt": 827152,
"outputSettledAt": 827154,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 0\n5: 0\n6: false\n7: 0\n8: 3\n9: 0\n10: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n11: 0\n12: 0\n13: 0\n14: 1\n15: 2\n16: 3\n17: 0\n18: 1\n19: 2\n20: 3\n21: 1\n22: 1\n23: 0\n24: 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)\n25: 0\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: 1\n31: 1\n32: false\n33: false\n34: 0\n35: 1\n36: 1000\n37: 1000000\n38: 2\n39: 0\n40: 1\n41: 2\n42: 3\n43: 0\n44: 0\n45: 0\n46: 0\n47: false\n48: false\n49: 0\n50: 2\n51: 0\n52: 2\n53: 1\n54: false\n55: 3\n56: 2\n57: 0\n58: 0\n59: 0\n60: false\n61: 0\n62: 2\n63: 2\n64: 3\n65: 0\n66: 0\n67: 2\n68: 1\n69: 0\n70: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n71: 0\n72: 1000\n73: 1\n74: 1000\n75: 0\n76: 0\n77: 1\n78: false\n79: false\n80: false\n81: 2\n82: 3\n83: 2\n84: 1000\n85: 1000000\n86: 2\n87: 2\n88: 2\n89: 0\n90: 0\n91: 0\n92: false\n93: false\n94: false\n95: 1\n96: 4\n97: 2\n98: 1\n99: 2\n100: 2\n101: false\n102: false\n103: false\n104: 3\n105: 0\n106: 0\n107: 2\n108: 0\n109: 0\n110: 0\n111: 2\n112: 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))) { (box10.tokens(placeholder[Int](5))._1 == coll4) && (box10.value >= l7) } else {\n placeholder[Boolean](6)\n }\n }\n val bool9 = func8(placeholder[Int](7))\n val coll10 = coll3(placeholder[Int](8))\n val l11 = SELF.value\n val l12 = coll5(placeholder[Int](9))\n val l13 = SELF.R7[Long].get\n val coll14 = placeholder[SigmaProp](10).propBytes\n val box15 = OUTPUTS(placeholder[Int](11))\n val l16 = box15.tokens(placeholder[Int](12))._2\n val coll17 = SELF.R4[Coll[Byte]].get\n val coll18 = SELF.R5[Coll[Long]].get\n val l19 = coll18(placeholder[Int](13))\n val l20 = coll18(placeholder[Int](14))\n val l21 = coll18(placeholder[Int](15))\n val l22 = coll18(placeholder[Int](16))\n val l23 = SELF.R9[Long].get\n val l24 = SELF.R8[Long].get\n val l25 = box15.value\n val func26 = {(i26: Int) =>\n val coll28 = OUTPUTS(i26).R5[Coll[Long]].get\n (((coll28(placeholder[Int](17)) == l19) && (coll28(placeholder[Int](18)) == l20)) && (coll28(placeholder[Int](19)) == l21)) && (\n coll28(placeholder[Int](20)) == l22\n )\n }\n val bool27 = l25 == l11\n val bool28 = func8(placeholder[Int](21))\n val i29 = OUTPUTS.size\n val box30 = OUTPUTS(placeholder[Int](22))\n val coll31 = box30.propositionBytes\n val bool32 = box15.R4[Coll[Byte]].get == coll17\n sigmaProp(box1.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24)) && prop2 && sigmaProp((((if (!bool9) {(\n val box33 = OUTPUTS(placeholder[Int](25))\n val l34 = max(l11 * l12 / placeholder[Long](26), placeholder[Long](27))\n if (blake2b256(box33.propositionBytes) == coll10) {(\n val tuple35 = box33.tokens(placeholder[Int](28))\n ((((tuple35._1 == coll4) && (tuple35._2 == placeholder[Long](29))) && (box33.value >= l34)) && (OUTPUTS(placeholder[Int](30)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](31)).value >= l11 - l34 - l6)\n )} else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } || if (bool9 && (l13 == placeholder[Long](34))) {(\n val box33 = OUTPUTS(placeholder[Int](35))\n val l34 = l11 - box15.value\n if (box33.propositionBytes == coll14) { ((((((((box33.value >= max(max(l34, l34) * l12 / placeholder[Long](36), placeholder[Long](37))) && (l16 == placeholder[Long](38))) && (box15.R4[Coll[Byte]].get == coll17)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](39)) == l19) && (coll37(placeholder[Int](40)) == l20)) && (coll37(placeholder[Int](41)) == l21)) && (coll37(placeholder[Int](42)) == l22)\n }(placeholder[Int](43))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](44))) && (box15.R8[Long].get == placeholder[Long](45))) && (box15.R9[Long].get == l23)) && (l24 == placeholder[Long](46)) } else { placeholder[Boolean](47) }\n )} else { placeholder[Boolean](48) }) || if (bool9 && (l13 == placeholder[Long](49))) { ((((((l25 == l11) && (l16 == placeholder[Long](50))) && (box15.R4[Coll[Byte]].get == coll17)) && func26(placeholder[Int](51))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l23)) && \n val l33 = box15.R7[Long].get\n (l33 == placeholder[Long](52)) || ((l33 == placeholder[Long](53)) && (box15.R8[Long].get <= l11 - l7))\n } else { placeholder[Boolean](54) }) || if (bool9 && (l13 != placeholder[Long](55))) { ((((((bool27 && (l16 == placeholder[Long](56))) && (box15.R4[Coll[Byte]].get == coll17)) && func26(placeholder[Int](57))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](58))) && (box15.R8[Long].get == placeholder[Long](59))) && (box15.R9[Long].get == l23) } else { placeholder[Boolean](60) }) || if ((bool9 && (!bool28)) && (l13 == placeholder[Long](61))) { if (i29 > placeholder[Int](62)) { if (blake2b256(coll31) == coll10) { ((((((((((((bool27 && bool32) && (box15.R5[Coll[Long]].get(placeholder[Int](63)) == l21)) && (box15.R5[Coll[Long]].get(placeholder[Int](64)) == l22)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](65))) && (box15.R8[Long].get == placeholder[Long](66))) && (box15.R9[Long].get == l23)) && (l16 == placeholder[Long](67))) && (box30.tokens.size == placeholder[Int](68))) && (box30.tokens(placeholder[Int](69))._1 == placeholder[Coll[Byte]](70))) && (box15.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && (box15.R5[Coll[Long]].get(placeholder[Int](73)) <= placeholder[Long](74))) && \n val coll33 = box15.R5[Coll[Long]].get\n box30.tokens(placeholder[Int](75))._2 >= coll33(placeholder[Int](76)) + coll33(placeholder[Int](77)) - l19 + l20\n } else { placeholder[Boolean](78) } } else { placeholder[Boolean](79) } } else { placeholder[Boolean](80) }) || sigmaProp(\n (\n if (bool9 && (l13 == placeholder[Long](81))) {\n if (i29 > placeholder[Int](82)) {\n if (coll31 == coll14) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box30.value >= max(l24 * placeholder[Long](83) * l12 / placeholder[Long](84), placeholder[Long](85))) && (\n OUTPUTS(placeholder[Int](86)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](87)).value >= l24)\n ) && bool27\n ) && (l16 == placeholder[Long](88))\n ) && bool32\n ) && func26(placeholder[Int](89))\n ) && (box15.R7[Long].get == placeholder[Long](90))\n ) && (box15.R8[Long].get == placeholder[Long](91))\n ) && (box15.R9[Long].get == l23)\n } else { placeholder[Boolean](92) }\n } else { placeholder[Boolean](93) }\n } else { placeholder[Boolean](94) } || if ((bool9 && bool28) && (l13 == placeholder[Long](95))) {\n if (i29 >= placeholder[Int](96)) {\n if (blake2b256(OUTPUTS(placeholder[Int](97)).propositionBytes) == coll3(placeholder[Int](98))) {\n blake2b256(INPUTS(placeholder[Int](99)).propositionBytes) == coll3(placeholder[Int](100))\n } else { placeholder[Boolean](101) }\n } else { placeholder[Boolean](102) }\n } else { placeholder[Boolean](103) }\n ) || if ((bool9 && bool28) && (l13 == placeholder[Long](104))) {\n (\n (\n (\n ((bool32 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](105))) && (box15.R8[Long].get == placeholder[Long](106))\n ) && (box15.R9[Long].get == l23)\n ) && (l16 == placeholder[Long](107))\n ) || (\n (\n (\n (((box30.R4[Coll[Byte]].get == coll17) && (box30.R6[SigmaProp].get == prop2)) && (box30.R7[Long].get == placeholder[Long](108))) && (\n box30.R8[Long].get == placeholder[Long](109)\n )\n ) && (box30.R9[Long].get == l23)\n ) && (box30.tokens(placeholder[Int](110))._2 == placeholder[Long](111))\n )\n } else { placeholder[Boolean](112) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110402020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "0504",
"sigmaType": "SLong",
"renderedValue": "2"
},
"R4": {
"serializedValue": "0eea0159656c6c6f773a3938653931613a3738336130393a333a323a4d3230372c3135322e35513231392c3138302c3139342e352c313932513137302c3230342c3134372e352c323230513132352c3233362c39392c3232352e355137332c3231352c35332c3139362e355133332c3137382c32302c3135312e3551372c3132352c33372c3130382e355136372c39322c36382c35392e355136392c32372c39372c34342e35513132352c36322c3134362c35372e35513136372c35332c3139352e352c36302e35513232342c36382c3230392e352c39362e35513139352c3132352c3230372c3135322e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "59656c6c6f773a3938653931613a3738336130393a333a323a4d3230372c3135322e35513231392c3138302c3139342e352c313932513137302c3230342c3134372e352c323230513132352c3233362c39392c3232352e355137332c3231352c35332c3139362e355133332c3137382c32302c3135312e3551372c3132352c33372c3130382e355136372c39322c36382c35392e355136392c32372c39372c34342e35513132352c36322c3134362c35372e35513136372c35332c3139352e352c36302e35513232342c36382c3230392e352c39362e35513139352c3132352c3230372c3135322e355a"
}
}
},
{
"boxId": "a7ec4a805cacb6d2ac25c8daadd3fcfd8ca465fc7ae4e307339573c10e0de996",
"value": 57000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "e1933011af2173989dd55a21161f2989ee4582358e9e6330f737d85cf105ad7c",
"outputTransactionId": "6a30a4434e755f96f67535fedb0c501334b52a2162349897c84ad16b34145be6",
"outputIndex": 1,
"outputGlobalIndex": 20875458,
"outputCreatedAt": 827152,
"outputSettledAt": 827154,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 0\n5: 0\n6: false\n7: 0\n8: 3\n9: 0\n10: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n11: 0\n12: 0\n13: 0\n14: 1\n15: 2\n16: 3\n17: 0\n18: 1\n19: 2\n20: 3\n21: 1\n22: 1\n23: 0\n24: 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)\n25: 0\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: 1\n31: 1\n32: false\n33: false\n34: 0\n35: 1\n36: 1000\n37: 1000000\n38: 2\n39: 0\n40: 1\n41: 2\n42: 3\n43: 0\n44: 0\n45: 0\n46: 0\n47: false\n48: false\n49: 0\n50: 2\n51: 0\n52: 2\n53: 1\n54: false\n55: 3\n56: 2\n57: 0\n58: 0\n59: 0\n60: false\n61: 0\n62: 2\n63: 2\n64: 3\n65: 0\n66: 0\n67: 2\n68: 1\n69: 0\n70: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n71: 0\n72: 1000\n73: 1\n74: 1000\n75: 0\n76: 0\n77: 1\n78: false\n79: false\n80: false\n81: 2\n82: 3\n83: 2\n84: 1000\n85: 1000000\n86: 2\n87: 2\n88: 2\n89: 0\n90: 0\n91: 0\n92: false\n93: false\n94: false\n95: 1\n96: 4\n97: 2\n98: 1\n99: 2\n100: 2\n101: false\n102: false\n103: false\n104: 3\n105: 0\n106: 0\n107: 2\n108: 0\n109: 0\n110: 0\n111: 2\n112: 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))) { (box10.tokens(placeholder[Int](5))._1 == coll4) && (box10.value >= l7) } else {\n placeholder[Boolean](6)\n }\n }\n val bool9 = func8(placeholder[Int](7))\n val coll10 = coll3(placeholder[Int](8))\n val l11 = SELF.value\n val l12 = coll5(placeholder[Int](9))\n val l13 = SELF.R7[Long].get\n val coll14 = placeholder[SigmaProp](10).propBytes\n val box15 = OUTPUTS(placeholder[Int](11))\n val l16 = box15.tokens(placeholder[Int](12))._2\n val coll17 = SELF.R4[Coll[Byte]].get\n val coll18 = SELF.R5[Coll[Long]].get\n val l19 = coll18(placeholder[Int](13))\n val l20 = coll18(placeholder[Int](14))\n val l21 = coll18(placeholder[Int](15))\n val l22 = coll18(placeholder[Int](16))\n val l23 = SELF.R9[Long].get\n val l24 = SELF.R8[Long].get\n val l25 = box15.value\n val func26 = {(i26: Int) =>\n val coll28 = OUTPUTS(i26).R5[Coll[Long]].get\n (((coll28(placeholder[Int](17)) == l19) && (coll28(placeholder[Int](18)) == l20)) && (coll28(placeholder[Int](19)) == l21)) && (\n coll28(placeholder[Int](20)) == l22\n )\n }\n val bool27 = l25 == l11\n val bool28 = func8(placeholder[Int](21))\n val i29 = OUTPUTS.size\n val box30 = OUTPUTS(placeholder[Int](22))\n val coll31 = box30.propositionBytes\n val bool32 = box15.R4[Coll[Byte]].get == coll17\n sigmaProp(box1.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24)) && prop2 && sigmaProp((((if (!bool9) {(\n val box33 = OUTPUTS(placeholder[Int](25))\n val l34 = max(l11 * l12 / placeholder[Long](26), placeholder[Long](27))\n if (blake2b256(box33.propositionBytes) == coll10) {(\n val tuple35 = box33.tokens(placeholder[Int](28))\n ((((tuple35._1 == coll4) && (tuple35._2 == placeholder[Long](29))) && (box33.value >= l34)) && (OUTPUTS(placeholder[Int](30)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](31)).value >= l11 - l34 - l6)\n )} else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } || if (bool9 && (l13 == placeholder[Long](34))) {(\n val box33 = OUTPUTS(placeholder[Int](35))\n val l34 = l11 - box15.value\n if (box33.propositionBytes == coll14) { ((((((((box33.value >= max(max(l34, l34) * l12 / placeholder[Long](36), placeholder[Long](37))) && (l16 == placeholder[Long](38))) && (box15.R4[Coll[Byte]].get == coll17)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](39)) == l19) && (coll37(placeholder[Int](40)) == l20)) && (coll37(placeholder[Int](41)) == l21)) && (coll37(placeholder[Int](42)) == l22)\n }(placeholder[Int](43))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](44))) && (box15.R8[Long].get == placeholder[Long](45))) && (box15.R9[Long].get == l23)) && (l24 == placeholder[Long](46)) } else { placeholder[Boolean](47) }\n )} else { placeholder[Boolean](48) }) || if (bool9 && (l13 == placeholder[Long](49))) { ((((((l25 == l11) && (l16 == placeholder[Long](50))) && (box15.R4[Coll[Byte]].get == coll17)) && func26(placeholder[Int](51))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l23)) && \n val l33 = box15.R7[Long].get\n (l33 == placeholder[Long](52)) || ((l33 == placeholder[Long](53)) && (box15.R8[Long].get <= l11 - l7))\n } else { placeholder[Boolean](54) }) || if (bool9 && (l13 != placeholder[Long](55))) { ((((((bool27 && (l16 == placeholder[Long](56))) && (box15.R4[Coll[Byte]].get == coll17)) && func26(placeholder[Int](57))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](58))) && (box15.R8[Long].get == placeholder[Long](59))) && (box15.R9[Long].get == l23) } else { placeholder[Boolean](60) }) || if ((bool9 && (!bool28)) && (l13 == placeholder[Long](61))) { if (i29 > placeholder[Int](62)) { if (blake2b256(coll31) == coll10) { ((((((((((((bool27 && bool32) && (box15.R5[Coll[Long]].get(placeholder[Int](63)) == l21)) && (box15.R5[Coll[Long]].get(placeholder[Int](64)) == l22)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](65))) && (box15.R8[Long].get == placeholder[Long](66))) && (box15.R9[Long].get == l23)) && (l16 == placeholder[Long](67))) && (box30.tokens.size == placeholder[Int](68))) && (box30.tokens(placeholder[Int](69))._1 == placeholder[Coll[Byte]](70))) && (box15.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && (box15.R5[Coll[Long]].get(placeholder[Int](73)) <= placeholder[Long](74))) && \n val coll33 = box15.R5[Coll[Long]].get\n box30.tokens(placeholder[Int](75))._2 >= coll33(placeholder[Int](76)) + coll33(placeholder[Int](77)) - l19 + l20\n } else { placeholder[Boolean](78) } } else { placeholder[Boolean](79) } } else { placeholder[Boolean](80) }) || sigmaProp(\n (\n if (bool9 && (l13 == placeholder[Long](81))) {\n if (i29 > placeholder[Int](82)) {\n if (coll31 == coll14) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box30.value >= max(l24 * placeholder[Long](83) * l12 / placeholder[Long](84), placeholder[Long](85))) && (\n OUTPUTS(placeholder[Int](86)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](87)).value >= l24)\n ) && bool27\n ) && (l16 == placeholder[Long](88))\n ) && bool32\n ) && func26(placeholder[Int](89))\n ) && (box15.R7[Long].get == placeholder[Long](90))\n ) && (box15.R8[Long].get == placeholder[Long](91))\n ) && (box15.R9[Long].get == l23)\n } else { placeholder[Boolean](92) }\n } else { placeholder[Boolean](93) }\n } else { placeholder[Boolean](94) } || if ((bool9 && bool28) && (l13 == placeholder[Long](95))) {\n if (i29 >= placeholder[Int](96)) {\n if (blake2b256(OUTPUTS(placeholder[Int](97)).propositionBytes) == coll3(placeholder[Int](98))) {\n blake2b256(INPUTS(placeholder[Int](99)).propositionBytes) == coll3(placeholder[Int](100))\n } else { placeholder[Boolean](101) }\n } else { placeholder[Boolean](102) }\n } else { placeholder[Boolean](103) }\n ) || if ((bool9 && bool28) && (l13 == placeholder[Long](104))) {\n (\n (\n (\n ((bool32 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](105))) && (box15.R8[Long].get == placeholder[Long](106))\n ) && (box15.R9[Long].get == l23)\n ) && (l16 == placeholder[Long](107))\n ) || (\n (\n (\n (((box30.R4[Coll[Byte]].get == coll17) && (box30.R6[SigmaProp].get == prop2)) && (box30.R7[Long].get == placeholder[Long](108))) && (\n box30.R8[Long].get == placeholder[Long](109)\n )\n ) && (box30.R9[Long].get == l23)\n ) && (box30.tokens(placeholder[Int](110))._2 == placeholder[Long](111))\n )\n } else { placeholder[Boolean](112) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11040a080000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,4,0,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
}
},
{
"boxId": "de2b6be050355522af6d5c2ad1b435e299d45f7e1092cde612a939c7c31bde8d",
"value": 198000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "e1933011af2173989dd55a21161f2989ee4582358e9e6330f737d85cf105ad7c",
"outputTransactionId": "6a30a4434e755f96f67535fedb0c501334b52a2162349897c84ad16b34145be6",
"outputIndex": 2,
"outputGlobalIndex": 20875459,
"outputCreatedAt": 827152,
"outputSettledAt": 827154,
"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: 5\n11: 5\n12: 4\n13: 1\n14: 2\n15: 5\n16: 5\n17: 0\n18: 3\n19: 6\n20: 3\n21: 2\n22: 4\n23: 0\n24: 3\n25: 6\n26: 3\n27: 2\n28: 4\n29: 3\n30: 5\n31: 1\n32: 2\n33: 0\n34: 1\n35: 3\n36: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n37: 3\n38: 2\n39: 0\n40: 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)\n41: 0\n42: 0\n43: false\n44: 0\n45: 0\n46: false\n47: 2\n48: 2\n49: 2000000\n50: 2\n51: 2\n52: 2000000\n53: 2\n54: 1\n55: 0\n56: 0\n57: 0\n58: false\n59: 3\n60: 1\n61: 0\n62: 0\n63: 0\n64: false\n65: 0\n66: 1\n67: 2\n68: 1\n69: 3\n70: 1\n71: 0\n72: 1\n73: 2\n74: 1\n75: 3\n76: false\n77: 0\n78: 1\n79: 2\n80: 1\n81: 3\n82: 1\n83: 0\n84: 1\n85: 2\n86: 1\n87: 3\n88: 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[Long]].get\n val l11 = coll10(placeholder[Int](8))\n val l12 = coll10(placeholder[Int](9))\n val l13 = placeholder[Long](10) * l11 + placeholder[Long](11) * l12\n val coll14 = box1.R5[Coll[Long]].get\n val l15 = coll14(placeholder[Int](12))\n val coll16 = SELF.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14))\n val l19 = placeholder[Long](15) * l17 + placeholder[Long](16) * l18\n val l20 = coll10(placeholder[Int](17))\n val l21 = coll10(placeholder[Int](18))\n val l22 = placeholder[Long](19) * l20 + placeholder[Long](20) * l11 + placeholder[Long](21) * l12 + placeholder[Long](22) * l21\n val l23 = coll16(placeholder[Int](23))\n val l24 = coll16(placeholder[Int](24))\n val l25 = placeholder[Long](25) * l23 + placeholder[Long](26) * l17 + placeholder[Long](27) * l18 + placeholder[Long](28) * l24\n val bi26 = max(max(bi8, bi9 * bi8), min(l13 + l15, l19).toBigInt) + min(l22 + l15, l25).toBigInt\n val bi27 = byteArrayToBigInt(coll7.slice(placeholder[Int](29), placeholder[Int](30)))\n val bi28 = max(max(bi27, bi9 * bi27), min(l19 + l15, l13).toBigInt) + min(l25 + l15, l22).toBigInt\n val bool29 = bi26 > bi28\n val l30 = coll14(placeholder[Int](31))\n val l31 = SELF.value + l30 / placeholder[Long](32)\n val l32 = INPUTS(placeholder[Int](33)).value\n val l33 = INPUTS(placeholder[Int](34)).value\n val bool34 = bi26 <= bi28\n val bool35 = OUTPUTS.size > placeholder[Int](35)\n val coll36 = placeholder[Coll[Byte]](36)\n val l37 = coll14(placeholder[Int](37))\n val l38 = coll14(placeholder[Int](38))\n val opt39 = box2.R5[Coll[Long]]\n val opt40 = box5.R5[Coll[Long]]\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), if (blake2b256(box2.propositionBytes) == coll3) {\n (((box2.R6[SigmaProp].get == prop4) && (box2.R7[Long].get == placeholder[Long](41))) && (box2.R8[Long].get == placeholder[Long](42))) && (\n box2.R9[Long].get == SELF.R5[Long].get\n )\n } else { placeholder[Boolean](43) }, if (blake2b256(box5.propositionBytes) == coll3) {\n (((box5.R6[SigmaProp].get == prop6) && (box5.R7[Long].get == placeholder[Long](44))) && (box5.R8[Long].get == placeholder[Long](45))) && (\n box5.R9[Long].get == SELF.R8[Long].get\n )\n } else { placeholder[Boolean](46) }, anyOf(\n Coll[Boolean](\n (bool29 && (box2.value == l32 + placeholder[Long](47) * l31 - placeholder[Long](48) * l30 - placeholder[Long](49))) && (box5.value == l33), (\n bool34 && (box2.value == l32)\n ) && (box5.value == l33 + placeholder[Long](50) * l31 - placeholder[Long](51) * l30 - placeholder[Long](52))\n )\n ), if (bool35) {(\n val box41 = OUTPUTS(placeholder[Int](53))\n (\n ((box41.propositionBytes == prop4.propBytes) && (box41.tokens.size == placeholder[Int](54))) && (box41.tokens(placeholder[Int](55))._1 == coll36)\n ) && ((bool29 && (box41.tokens(placeholder[Int](56))._2 == l37)) || (bool34 && (box41.tokens(placeholder[Int](57))._2 == l38)))\n )} else { placeholder[Boolean](58) }, if (bool35) {(\n val box41 = OUTPUTS(placeholder[Int](59))\n (\n ((box41.propositionBytes == prop6.propBytes) && (box41.tokens.size == placeholder[Int](60))) && (box41.tokens(placeholder[Int](61))._1 == coll36)\n ) && ((bool29 && (box41.tokens(placeholder[Int](62))._2 == l38)) || (bool34 && (box41.tokens(placeholder[Int](63))._2 == l37)))\n )} else { placeholder[Boolean](64) }, if (opt39.isDefined) {(\n val coll41 = opt39.get\n anyOf(\n Coll[Boolean](\n (\n ((bool29 && (coll41(placeholder[Int](65)) == l23)) && (coll41(placeholder[Int](66)) == l17)) && (\n coll41(placeholder[Int](67)) == l18 + placeholder[Long](68)\n )\n ) && (coll41(placeholder[Int](69)) == l24 + placeholder[Long](70)), (\n ((bool34 && (coll41(placeholder[Int](71)) == l23)) && (coll41(placeholder[Int](72)) == l17)) && (\n coll41(placeholder[Int](73)) == l18 + placeholder[Long](74)\n )\n ) && (coll41(placeholder[Int](75)) == l24)\n )\n )\n )} else { placeholder[Boolean](76) }, if (opt40.isDefined) {(\n val coll41 = opt40.get\n anyOf(\n Coll[Boolean](\n (\n ((bool34 && (coll41(placeholder[Int](77)) == l20)) && (coll41(placeholder[Int](78)) == l11)) && (\n coll41(placeholder[Int](79)) == l12 + placeholder[Long](80)\n )\n ) && (coll41(placeholder[Int](81)) == l21 + placeholder[Long](82)), (\n ((bool29 && (coll41(placeholder[Int](83)) == l20)) && (coll41(placeholder[Int](84)) == l11)) && (\n coll41(placeholder[Int](85)) == l12 + placeholder[Long](86)\n )\n ) && (coll41(placeholder[Int](87)) == l21)\n )\n )\n )} else { placeholder[Boolean](88) }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
"index": 1,
"amount": 4,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0504",
"sigmaType": "SLong",
"renderedValue": "2"
},
"R6": {
"serializedValue": "110402020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,0,0]"
},
"R8": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R7": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R9": {
"serializedValue": "11040a080000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,4,0,0]"
},
"R4": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
}
}
}
],
"dataInputs": [
{
"boxId": "cd6989b02d49780cf12bedc6c4018f11d8e43159650e0b5e80cba12a8d748a9f",
"value": 1000000,
"index": 0,
"outputBlockId": "d97eb93523c3df157faf274480df0e28b2d60e1494a6628c9b4ac61c2e897660",
"outputTransactionId": "74a6f8fd75ac33bebff9fbbdf06886efa11f56010644ad877edebb6a97866138",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a04208fbf32b62bf1d91afc9a4c65992c969593d65ff373dd9995879baf6ef5f4f3362003534426e98731c9ab1321daa88504574c3b120bd922ed5f890fd4fede97e62c202e49a379f7e3479d2c54fc1cda887a7c15c2c3e55f63daa9aa839bbd507d8473201e0bd8ad69f1b1160303b527205007a7107fec6029435d1ab14305d1bfa72e06",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8fbf32b62bf1d91afc9a4c65992c969593d65ff373dd9995879baf6ef5f4f336,03534426e98731c9ab1321daa88504574c3b120bd922ed5f890fd4fede97e62c,2e49a379f7e3479d2c54fc1cda887a7c15c2c3e55f63daa9aa839bbd507d8473,1e0bd8ad69f1b1160303b527205007a7107fec6029435d1ab14305d1bfa72e06]"
},
"R5": {
"serializedValue": "11060a8092f4010206c83380897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,2000000,1,3,3300,1000000]"
}
}
}
],
"outputs": [
{
"boxId": "09f8358af34f9094aa7c93b4a4ce24bf5df2280a661fbb2007e8e7ccca8eecdb",
"transactionId": "765c97225cd6b22efa187d126ade80c9871a97efddbb106ad9afdf08454ea24d",
"blockId": "38c1ceff5cace2c442f28e2432c18db0351522a392fc459d084f135b18c821b2",
"value": 201000000,
"index": 0,
"globalIndex": 20875513,
"creationHeight": 827152,
"settlementHeight": 827155,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 0\n5: 0\n6: false\n7: 0\n8: 3\n9: 0\n10: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n11: 0\n12: 0\n13: 0\n14: 1\n15: 2\n16: 3\n17: 0\n18: 1\n19: 2\n20: 3\n21: 1\n22: 1\n23: 0\n24: 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)\n25: 0\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: 1\n31: 1\n32: false\n33: false\n34: 0\n35: 1\n36: 1000\n37: 1000000\n38: 2\n39: 0\n40: 1\n41: 2\n42: 3\n43: 0\n44: 0\n45: 0\n46: 0\n47: false\n48: false\n49: 0\n50: 2\n51: 0\n52: 2\n53: 1\n54: false\n55: 3\n56: 2\n57: 0\n58: 0\n59: 0\n60: false\n61: 0\n62: 2\n63: 2\n64: 3\n65: 0\n66: 0\n67: 2\n68: 1\n69: 0\n70: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n71: 0\n72: 1000\n73: 1\n74: 1000\n75: 0\n76: 0\n77: 1\n78: false\n79: false\n80: false\n81: 2\n82: 3\n83: 2\n84: 1000\n85: 1000000\n86: 2\n87: 2\n88: 2\n89: 0\n90: 0\n91: 0\n92: false\n93: false\n94: false\n95: 1\n96: 4\n97: 2\n98: 1\n99: 2\n100: 2\n101: false\n102: false\n103: false\n104: 3\n105: 0\n106: 0\n107: 2\n108: 0\n109: 0\n110: 0\n111: 2\n112: 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))) { (box10.tokens(placeholder[Int](5))._1 == coll4) && (box10.value >= l7) } else {\n placeholder[Boolean](6)\n }\n }\n val bool9 = func8(placeholder[Int](7))\n val coll10 = coll3(placeholder[Int](8))\n val l11 = SELF.value\n val l12 = coll5(placeholder[Int](9))\n val l13 = SELF.R7[Long].get\n val coll14 = placeholder[SigmaProp](10).propBytes\n val box15 = OUTPUTS(placeholder[Int](11))\n val l16 = box15.tokens(placeholder[Int](12))._2\n val coll17 = SELF.R4[Coll[Byte]].get\n val coll18 = SELF.R5[Coll[Long]].get\n val l19 = coll18(placeholder[Int](13))\n val l20 = coll18(placeholder[Int](14))\n val l21 = coll18(placeholder[Int](15))\n val l22 = coll18(placeholder[Int](16))\n val l23 = SELF.R9[Long].get\n val l24 = SELF.R8[Long].get\n val l25 = box15.value\n val func26 = {(i26: Int) =>\n val coll28 = OUTPUTS(i26).R5[Coll[Long]].get\n (((coll28(placeholder[Int](17)) == l19) && (coll28(placeholder[Int](18)) == l20)) && (coll28(placeholder[Int](19)) == l21)) && (\n coll28(placeholder[Int](20)) == l22\n )\n }\n val bool27 = l25 == l11\n val bool28 = func8(placeholder[Int](21))\n val i29 = OUTPUTS.size\n val box30 = OUTPUTS(placeholder[Int](22))\n val coll31 = box30.propositionBytes\n val bool32 = box15.R4[Coll[Byte]].get == coll17\n sigmaProp(box1.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24)) && prop2 && sigmaProp((((if (!bool9) {(\n val box33 = OUTPUTS(placeholder[Int](25))\n val l34 = max(l11 * l12 / placeholder[Long](26), placeholder[Long](27))\n if (blake2b256(box33.propositionBytes) == coll10) {(\n val tuple35 = box33.tokens(placeholder[Int](28))\n ((((tuple35._1 == coll4) && (tuple35._2 == placeholder[Long](29))) && (box33.value >= l34)) && (OUTPUTS(placeholder[Int](30)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](31)).value >= l11 - l34 - l6)\n )} else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } || if (bool9 && (l13 == placeholder[Long](34))) {(\n val box33 = OUTPUTS(placeholder[Int](35))\n val l34 = l11 - box15.value\n if (box33.propositionBytes == coll14) { ((((((((box33.value >= max(max(l34, l34) * l12 / placeholder[Long](36), placeholder[Long](37))) && (l16 == placeholder[Long](38))) && (box15.R4[Coll[Byte]].get == coll17)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](39)) == l19) && (coll37(placeholder[Int](40)) == l20)) && (coll37(placeholder[Int](41)) == l21)) && (coll37(placeholder[Int](42)) == l22)\n }(placeholder[Int](43))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](44))) && (box15.R8[Long].get == placeholder[Long](45))) && (box15.R9[Long].get == l23)) && (l24 == placeholder[Long](46)) } else { placeholder[Boolean](47) }\n )} else { placeholder[Boolean](48) }) || if (bool9 && (l13 == placeholder[Long](49))) { ((((((l25 == l11) && (l16 == placeholder[Long](50))) && (box15.R4[Coll[Byte]].get == coll17)) && func26(placeholder[Int](51))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l23)) && \n val l33 = box15.R7[Long].get\n (l33 == placeholder[Long](52)) || ((l33 == placeholder[Long](53)) && (box15.R8[Long].get <= l11 - l7))\n } else { placeholder[Boolean](54) }) || if (bool9 && (l13 != placeholder[Long](55))) { ((((((bool27 && (l16 == placeholder[Long](56))) && (box15.R4[Coll[Byte]].get == coll17)) && func26(placeholder[Int](57))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](58))) && (box15.R8[Long].get == placeholder[Long](59))) && (box15.R9[Long].get == l23) } else { placeholder[Boolean](60) }) || if ((bool9 && (!bool28)) && (l13 == placeholder[Long](61))) { if (i29 > placeholder[Int](62)) { if (blake2b256(coll31) == coll10) { ((((((((((((bool27 && bool32) && (box15.R5[Coll[Long]].get(placeholder[Int](63)) == l21)) && (box15.R5[Coll[Long]].get(placeholder[Int](64)) == l22)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](65))) && (box15.R8[Long].get == placeholder[Long](66))) && (box15.R9[Long].get == l23)) && (l16 == placeholder[Long](67))) && (box30.tokens.size == placeholder[Int](68))) && (box30.tokens(placeholder[Int](69))._1 == placeholder[Coll[Byte]](70))) && (box15.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && (box15.R5[Coll[Long]].get(placeholder[Int](73)) <= placeholder[Long](74))) && \n val coll33 = box15.R5[Coll[Long]].get\n box30.tokens(placeholder[Int](75))._2 >= coll33(placeholder[Int](76)) + coll33(placeholder[Int](77)) - l19 + l20\n } else { placeholder[Boolean](78) } } else { placeholder[Boolean](79) } } else { placeholder[Boolean](80) }) || sigmaProp(\n (\n if (bool9 && (l13 == placeholder[Long](81))) {\n if (i29 > placeholder[Int](82)) {\n if (coll31 == coll14) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box30.value >= max(l24 * placeholder[Long](83) * l12 / placeholder[Long](84), placeholder[Long](85))) && (\n OUTPUTS(placeholder[Int](86)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](87)).value >= l24)\n ) && bool27\n ) && (l16 == placeholder[Long](88))\n ) && bool32\n ) && func26(placeholder[Int](89))\n ) && (box15.R7[Long].get == placeholder[Long](90))\n ) && (box15.R8[Long].get == placeholder[Long](91))\n ) && (box15.R9[Long].get == l23)\n } else { placeholder[Boolean](92) }\n } else { placeholder[Boolean](93) }\n } else { placeholder[Boolean](94) } || if ((bool9 && bool28) && (l13 == placeholder[Long](95))) {\n if (i29 >= placeholder[Int](96)) {\n if (blake2b256(OUTPUTS(placeholder[Int](97)).propositionBytes) == coll3(placeholder[Int](98))) {\n blake2b256(INPUTS(placeholder[Int](99)).propositionBytes) == coll3(placeholder[Int](100))\n } else { placeholder[Boolean](101) }\n } else { placeholder[Boolean](102) }\n } else { placeholder[Boolean](103) }\n ) || if ((bool9 && bool28) && (l13 == placeholder[Long](104))) {\n (\n (\n (\n ((bool32 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](105))) && (box15.R8[Long].get == placeholder[Long](106))\n ) && (box15.R9[Long].get == l23)\n ) && (l16 == placeholder[Long](107))\n ) || (\n (\n (\n (((box30.R4[Coll[Byte]].get == coll17) && (box30.R6[SigmaProp].get == prop2)) && (box30.R7[Long].get == placeholder[Long](108))) && (\n box30.R8[Long].get == placeholder[Long](109)\n )\n ) && (box30.R9[Long].get == l23)\n ) && (box30.tokens(placeholder[Int](110))._2 == placeholder[Long](111))\n )\n } else { placeholder[Boolean](112) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110402020202",
"sigmaType": "Coll[SLong]",
"renderedValue": "[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": "0504",
"sigmaType": "SLong",
"renderedValue": "2"
},
"R4": {
"serializedValue": "0eea0159656c6c6f773a3938653931613a3738336130393a333a323a4d3230372c3135322e35513231392c3138302c3139342e352c313932513137302c3230342c3134372e352c323230513132352c3233362c39392c3232352e355137332c3231352c35332c3139362e355133332c3137382c32302c3135312e3551372c3132352c33372c3130382e355136372c39322c36382c35392e355136392c32372c39372c34342e35513132352c36322c3134362c35372e35513136372c35332c3139352e352c36302e35513232342c36382c3230392e352c39362e35513139352c3132352c3230372c3135322e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "59656c6c6f773a3938653931613a3738336130393a333a323a4d3230372c3135322e35513231392c3138302c3139342e352c313932513137302c3230342c3134372e352c323230513132352c3233362c39392c3232352e355137332c3231352c35332c3139362e355133332c3137382c32302c3135312e3551372c3132352c33372c3130382e355136372c39322c36382c35392e355136392c32372c39372c34342e35513132352c36322c3134362c35372e35513136372c35332c3139352e352c36302e35513232342c36382c3230392e352c39362e35513139352c3132352c3230372c3135322e355a"
}
},
"spentTransactionId": "4f1c9349566ae7ad867fa3a4b3c4997b3aee372ce492dcc27adabd178802fb7a",
"mainChain": true
},
{
"boxId": "3c005f2f565d2af88beed2efca0e4b59f0215905c6c250c7cb8301cb0644cbcc",
"transactionId": "765c97225cd6b22efa187d126ade80c9871a97efddbb106ad9afdf08454ea24d",
"blockId": "38c1ceff5cace2c442f28e2432c18db0351522a392fc459d084f135b18c821b2",
"value": 57000000,
"index": 1,
"globalIndex": 20875514,
"creationHeight": 827152,
"settlementHeight": 827155,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 0\n5: 0\n6: false\n7: 0\n8: 3\n9: 0\n10: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n11: 0\n12: 0\n13: 0\n14: 1\n15: 2\n16: 3\n17: 0\n18: 1\n19: 2\n20: 3\n21: 1\n22: 1\n23: 0\n24: 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)\n25: 0\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: 1\n31: 1\n32: false\n33: false\n34: 0\n35: 1\n36: 1000\n37: 1000000\n38: 2\n39: 0\n40: 1\n41: 2\n42: 3\n43: 0\n44: 0\n45: 0\n46: 0\n47: false\n48: false\n49: 0\n50: 2\n51: 0\n52: 2\n53: 1\n54: false\n55: 3\n56: 2\n57: 0\n58: 0\n59: 0\n60: false\n61: 0\n62: 2\n63: 2\n64: 3\n65: 0\n66: 0\n67: 2\n68: 1\n69: 0\n70: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n71: 0\n72: 1000\n73: 1\n74: 1000\n75: 0\n76: 0\n77: 1\n78: false\n79: false\n80: false\n81: 2\n82: 3\n83: 2\n84: 1000\n85: 1000000\n86: 2\n87: 2\n88: 2\n89: 0\n90: 0\n91: 0\n92: false\n93: false\n94: false\n95: 1\n96: 4\n97: 2\n98: 1\n99: 2\n100: 2\n101: false\n102: false\n103: false\n104: 3\n105: 0\n106: 0\n107: 2\n108: 0\n109: 0\n110: 0\n111: 2\n112: 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))) { (box10.tokens(placeholder[Int](5))._1 == coll4) && (box10.value >= l7) } else {\n placeholder[Boolean](6)\n }\n }\n val bool9 = func8(placeholder[Int](7))\n val coll10 = coll3(placeholder[Int](8))\n val l11 = SELF.value\n val l12 = coll5(placeholder[Int](9))\n val l13 = SELF.R7[Long].get\n val coll14 = placeholder[SigmaProp](10).propBytes\n val box15 = OUTPUTS(placeholder[Int](11))\n val l16 = box15.tokens(placeholder[Int](12))._2\n val coll17 = SELF.R4[Coll[Byte]].get\n val coll18 = SELF.R5[Coll[Long]].get\n val l19 = coll18(placeholder[Int](13))\n val l20 = coll18(placeholder[Int](14))\n val l21 = coll18(placeholder[Int](15))\n val l22 = coll18(placeholder[Int](16))\n val l23 = SELF.R9[Long].get\n val l24 = SELF.R8[Long].get\n val l25 = box15.value\n val func26 = {(i26: Int) =>\n val coll28 = OUTPUTS(i26).R5[Coll[Long]].get\n (((coll28(placeholder[Int](17)) == l19) && (coll28(placeholder[Int](18)) == l20)) && (coll28(placeholder[Int](19)) == l21)) && (\n coll28(placeholder[Int](20)) == l22\n )\n }\n val bool27 = l25 == l11\n val bool28 = func8(placeholder[Int](21))\n val i29 = OUTPUTS.size\n val box30 = OUTPUTS(placeholder[Int](22))\n val coll31 = box30.propositionBytes\n val bool32 = box15.R4[Coll[Byte]].get == coll17\n sigmaProp(box1.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24)) && prop2 && sigmaProp((((if (!bool9) {(\n val box33 = OUTPUTS(placeholder[Int](25))\n val l34 = max(l11 * l12 / placeholder[Long](26), placeholder[Long](27))\n if (blake2b256(box33.propositionBytes) == coll10) {(\n val tuple35 = box33.tokens(placeholder[Int](28))\n ((((tuple35._1 == coll4) && (tuple35._2 == placeholder[Long](29))) && (box33.value >= l34)) && (OUTPUTS(placeholder[Int](30)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](31)).value >= l11 - l34 - l6)\n )} else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } || if (bool9 && (l13 == placeholder[Long](34))) {(\n val box33 = OUTPUTS(placeholder[Int](35))\n val l34 = l11 - box15.value\n if (box33.propositionBytes == coll14) { ((((((((box33.value >= max(max(l34, l34) * l12 / placeholder[Long](36), placeholder[Long](37))) && (l16 == placeholder[Long](38))) && (box15.R4[Coll[Byte]].get == coll17)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](39)) == l19) && (coll37(placeholder[Int](40)) == l20)) && (coll37(placeholder[Int](41)) == l21)) && (coll37(placeholder[Int](42)) == l22)\n }(placeholder[Int](43))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](44))) && (box15.R8[Long].get == placeholder[Long](45))) && (box15.R9[Long].get == l23)) && (l24 == placeholder[Long](46)) } else { placeholder[Boolean](47) }\n )} else { placeholder[Boolean](48) }) || if (bool9 && (l13 == placeholder[Long](49))) { ((((((l25 == l11) && (l16 == placeholder[Long](50))) && (box15.R4[Coll[Byte]].get == coll17)) && func26(placeholder[Int](51))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l23)) && \n val l33 = box15.R7[Long].get\n (l33 == placeholder[Long](52)) || ((l33 == placeholder[Long](53)) && (box15.R8[Long].get <= l11 - l7))\n } else { placeholder[Boolean](54) }) || if (bool9 && (l13 != placeholder[Long](55))) { ((((((bool27 && (l16 == placeholder[Long](56))) && (box15.R4[Coll[Byte]].get == coll17)) && func26(placeholder[Int](57))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](58))) && (box15.R8[Long].get == placeholder[Long](59))) && (box15.R9[Long].get == l23) } else { placeholder[Boolean](60) }) || if ((bool9 && (!bool28)) && (l13 == placeholder[Long](61))) { if (i29 > placeholder[Int](62)) { if (blake2b256(coll31) == coll10) { ((((((((((((bool27 && bool32) && (box15.R5[Coll[Long]].get(placeholder[Int](63)) == l21)) && (box15.R5[Coll[Long]].get(placeholder[Int](64)) == l22)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](65))) && (box15.R8[Long].get == placeholder[Long](66))) && (box15.R9[Long].get == l23)) && (l16 == placeholder[Long](67))) && (box30.tokens.size == placeholder[Int](68))) && (box30.tokens(placeholder[Int](69))._1 == placeholder[Coll[Byte]](70))) && (box15.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && (box15.R5[Coll[Long]].get(placeholder[Int](73)) <= placeholder[Long](74))) && \n val coll33 = box15.R5[Coll[Long]].get\n box30.tokens(placeholder[Int](75))._2 >= coll33(placeholder[Int](76)) + coll33(placeholder[Int](77)) - l19 + l20\n } else { placeholder[Boolean](78) } } else { placeholder[Boolean](79) } } else { placeholder[Boolean](80) }) || sigmaProp(\n (\n if (bool9 && (l13 == placeholder[Long](81))) {\n if (i29 > placeholder[Int](82)) {\n if (coll31 == coll14) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box30.value >= max(l24 * placeholder[Long](83) * l12 / placeholder[Long](84), placeholder[Long](85))) && (\n OUTPUTS(placeholder[Int](86)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](87)).value >= l24)\n ) && bool27\n ) && (l16 == placeholder[Long](88))\n ) && bool32\n ) && func26(placeholder[Int](89))\n ) && (box15.R7[Long].get == placeholder[Long](90))\n ) && (box15.R8[Long].get == placeholder[Long](91))\n ) && (box15.R9[Long].get == l23)\n } else { placeholder[Boolean](92) }\n } else { placeholder[Boolean](93) }\n } else { placeholder[Boolean](94) } || if ((bool9 && bool28) && (l13 == placeholder[Long](95))) {\n if (i29 >= placeholder[Int](96)) {\n if (blake2b256(OUTPUTS(placeholder[Int](97)).propositionBytes) == coll3(placeholder[Int](98))) {\n blake2b256(INPUTS(placeholder[Int](99)).propositionBytes) == coll3(placeholder[Int](100))\n } else { placeholder[Boolean](101) }\n } else { placeholder[Boolean](102) }\n } else { placeholder[Boolean](103) }\n ) || if ((bool9 && bool28) && (l13 == placeholder[Long](104))) {\n (\n (\n (\n ((bool32 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](105))) && (box15.R8[Long].get == placeholder[Long](106))\n ) && (box15.R9[Long].get == l23)\n ) && (l16 == placeholder[Long](107))\n ) || (\n (\n (\n (((box30.R4[Coll[Byte]].get == coll17) && (box30.R6[SigmaProp].get == prop2)) && (box30.R7[Long].get == placeholder[Long](108))) && (\n box30.R8[Long].get == placeholder[Long](109)\n )\n ) && (box30.R9[Long].get == l23)\n ) && (box30.tokens(placeholder[Int](110))._2 == placeholder[Long](111))\n )\n } else { placeholder[Boolean](112) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11040a080200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,4,1,0]"
},
"R6": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
},
"spentTransactionId": "76f0e185fbe47596c05ab4aa5dfa57f51159b6a1408d82eb4abf180eba316706",
"mainChain": true
},
{
"boxId": "5e7954c97b289ff32c9364b6d33c523705102cbb0f9a86a7e9749affc0cbaa61",
"transactionId": "765c97225cd6b22efa187d126ade80c9871a97efddbb106ad9afdf08454ea24d",
"blockId": "38c1ceff5cace2c442f28e2432c18db0351522a392fc459d084f135b18c821b2",
"value": 1000000,
"index": 2,
"globalIndex": 20875515,
"creationHeight": 827152,
"settlementHeight": 827155,
"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"
}
],
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},
{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c35a80,73a7d0,...)))}",
"address": "9g16ZMPo22b3qaRL7HezyQt2HSW2ZBF6YR3WW9cYQjgQwYKxxoT",
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{
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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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}