Transaction
ID: 42e4103206...c740
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0279 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.13 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1279 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.03 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 920,966
Total coins transferred: 1.16 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000388 ERG
Raw Transaction Data
{
"id": "42e4103206c86edd50b6bc349cb2d83b9caed8b6d2fa3a7df6c45fe9ce8ec740",
"blockId": "3c02ebe73eac04b98b7835c04b754770786a66f67809f3f6f14e3523c125a35e",
"inclusionHeight": 843184,
"timestamp": 1663774261273,
"index": 18,
"globalIndex": 4060401,
"numConfirmations": 920966,
"inputs": [
{
"boxId": "185d0fecff19500fed2f140dfae74097fd82e8063327e33e8f5122bc88af0efa",
"value": 27900000,
"index": 0,
"spendingProof": "8729bffc695a4b914c24a0bba11c5c2b14a8d6409879eff94db4ea929a0442ffe3a95cc122ad9926f1f87444c84da3b890dc6e52d889e484",
"outputBlockId": "139bd961ff853b74bc8a778e1f926c2a1545b55f0e8b3515e9c75f3fe010bc57",
"outputTransactionId": "3eeca6630ebd4d61aaf766d52b7b1f1437b42049d54732f51a4d9e0303459d2a",
"outputIndex": 0,
"outputGlobalIndex": 21914651,
"outputCreatedAt": 843171,
"outputSettledAt": 843181,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: false\n31: false\n32: 0\n33: 1000\n34: 1000000\n35: 0\n36: false\n37: false\n38: 0\n39: 4\n40: 1\n41: 1\n42: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n43: 8\n44: 2\n45: 1\n46: 100000000\n47: false\n48: false\n49: 3\n50: 5\n51: 1\n52: 0\n53: false\n54: 0\n55: 2\n56: 2\n57: 2\n58: 3\n59: 3\n60: 0\n61: 1\n62: 0\n63: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n64: 0\n65: 1000\n66: 1\n67: 1000\n68: 4\n69: 5\n70: 6\n71: 0\n72: 1\n73: 1\n74: 4\n75: 1\n76: 5\n77: 6\n78: 0\n79: 3\n80: 1\n81: 1\n82: 4\n83: 5\n84: 0\n85: 6\n86: 0\n87: 0\n88: 0\n89: 6\n90: 1\n91: 0\n92: 1\n93: false\n94: false\n95: false\n96: 2\n97: 3\n98: 2\n99: 1000\n100: 1000000\n101: 2\n102: 2\n103: 0\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 1\n127: 5\n128: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n sigmaProp(box1.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && prop2 && sigmaProp((((if (!bool11) {(\n val l39 = max(l13 * l14 / placeholder[Long](26), placeholder[Long](27))\n if (coll4 == coll12) {(\n val tuple40 = coll15(placeholder[Int](28))\n ((((tuple40._1 == coll7) && (tuple40._2 == placeholder[Long](29))) && (box3.value >= l39)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l39 - l9)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool11 && (l18 == placeholder[Long](32))) {(\n val l39 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l39, l39) * l14 / placeholder[Long](33), placeholder[Long](34))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](35)) } else { placeholder[Boolean](36) }\n )} else { placeholder[Boolean](37) }) || if (bool11 && (l18 == placeholder[Long](38))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l39 = box3.R7[Long].get\n if ((l39 == placeholder[Long](39)) && (i25 > placeholder[Int](40))) {(\n val tuple40 = coll15(placeholder[Int](41))\n (tuple40._1 == placeholder[Coll[Byte]](42)) && (tuple40._2 == coll8(placeholder[Int](43)))\n )} else { (l39 == placeholder[Long](44)) || (((l39 == placeholder[Long](45)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](46))) }\n )} else { placeholder[Boolean](47) } } else { placeholder[Boolean](48) }) || if ((bool11 && (l18 != placeholder[Long](49))) && (l18 != placeholder[Long](50))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](51))) && (l27 == placeholder[Long](52)) } else { placeholder[Boolean](53) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](54))) { if (i30 > placeholder[Int](55)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](56)) == coll23(placeholder[Int](57)))) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (l27 == placeholder[Long](60))) && (coll31.size == placeholder[Int](61))) && (coll31(placeholder[Int](62))._1 == placeholder[Coll[Byte]](63))) && \n val coll39 = box3.R5[Coll[Int]].get\n val i40 = coll39(placeholder[Int](64))\n (((((((i40 <= placeholder[Int](65)) && (coll39(placeholder[Int](66)) <= placeholder[Int](67))) && (coll39(placeholder[Int](68)) == i32)) && (coll39(placeholder[Int](69)) == i33)) && (coll39(placeholder[Int](70)) == i34)) && (coll31(placeholder[Int](71))._2 >= i40 + coll39(placeholder[Int](72)) - i35 + i36.toLong)) || ((((((i40 == i35) && (coll39(placeholder[Int](73)) == i36)) && (coll39(placeholder[Int](74)) == i32 + placeholder[Int](75))) && (coll39(placeholder[Int](76)) == i33)) && (coll39(placeholder[Int](77)) == i34)) && (coll31(placeholder[Int](78))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](79) * i32 + placeholder[Int](80))))) || ((((i40 == i35) && (coll39(placeholder[Int](81)) == i36)) && (coll39(placeholder[Int](82)) == i32)) && \n val i41 = coll39(placeholder[Int](83))\n ((((i41 > placeholder[Int](84)) && (i41 != i33)) && (coll39(placeholder[Int](85)) == placeholder[Int](86))) && (coll31(placeholder[Int](87))._2 >= coll37(placeholder[Int](88)))) || (((i41 == i33) && (coll39(placeholder[Int](89)) == i34 + placeholder[Int](90))) && (coll31(placeholder[Int](91))._2 >= coll37(i34 + placeholder[Int](92))))\n )\n } else { placeholder[Boolean](93) } } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](96))) {\n if (i30 > placeholder[Int](97)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](98) * l14 / placeholder[Long](99), placeholder[Long](100))) && (\n OUTPUTS(placeholder[Int](101)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](102)).value >= l38)\n ) && bool26\n ) && (coll15(placeholder[Int](103))._2 == placeholder[Long](104))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](105))\n ) && (box3.R9[Long].get == l20)\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n if (i30 >= placeholder[Int](110)) {\n if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n } else { placeholder[Boolean](115) }\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n (bool22 && (l27 == placeholder[Long](119))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n ) || if (bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) {\n blake2b256(INPUTS(placeholder[Int](126)).propositionBytes) == coll5(placeholder[Int](127))\n } else { placeholder[Boolean](128) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100706040200020000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[3,2,1,0,1,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0568",
"sigmaType": "SLong",
"renderedValue": "52"
},
"R4": {
"serializedValue": "0ec001466c61743a3463306532323a3030303030303a333a353a4d3232312c313539513231382c3139332c3138342c313938513135302c3230332c3132362c323030513130322c3139372c37332e352c3139305134352c3138332c33352e352c3135345132362c3132352c32392e352c39312e355133332c35382c36392c3630513130352c36322c3132362e352c35372e35513134382c35332c3137342c36312e35513230302c37302c3231322c39372e35513232342c3132352c3232312c3135395a",
"sigmaType": "Coll[SByte]",
"renderedValue": "466c61743a3463306532323a3030303030303a333a353a4d3232312c313539513231382c3139332c3138342c313938513135302c3230332c3132362c323030513130322c3139372c37332e352c3139305134352c3138332c33352e352c3135345132362c3132352c32392e352c39312e355133332c35382c36392c3630513130352c36322c3132362e352c35372e35513134382c35332c3137342c36312e35513230302c37302c3231322c39372e35513232342c3132352c3232312c3135395a"
}
}
},
{
"boxId": "d181d63beae7f408ff7e30e7f49dfc48a6cf3cfae74e558bebb74564e0eadbd8",
"value": 1128690623,
"index": 1,
"spendingProof": "abb346df5967a9efe4799682827ed9b6c5613b325d1b5628a3fd79e287c8cc7445c2bfca250635972c5100fbaabc5452acb432ee20320945",
"outputBlockId": "42ece058e05759d47bcbb04a7f0915deaee8f88b1dbeb67a1369a5231038d076",
"outputTransactionId": "2c49feb8d6c589745637bf84d11002949b6f07e1d6b264ad9d781fb399cdf34f",
"outputIndex": 1,
"outputGlobalIndex": 21914129,
"outputCreatedAt": 843171,
"outputSettledAt": 843175,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
"tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
"index": 0,
"amount": 17,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
"index": 1,
"amount": 9,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e91cbc48016eb390f8f872aa2962772863e2e840708517d1ab85e57451f91bed",
"index": 2,
"amount": 1187,
"name": "Ergold",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
"index": 3,
"amount": 144488,
"name": "EXLE",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "665e47bf28563943d79bcaf310533177410100c06f55730e302572c9759841e2",
"index": 4,
"amount": 2,
"name": "HeyHo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 5,
"amount": 221566,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "669e24e2b39b06b6134bc0dd67ee57f4ce2cbc1a5b552e39d655737a05f6f384",
"index": 6,
"amount": 3,
"name": "Have_A_Nice_Day",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fd9aaa087978f522fc838295bbecc5b9c4409ca5b49f55235906f9be7a443f7f",
"index": 7,
"amount": 2,
"name": "SAFEW pink logo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "74d7745b32e895008027a853ea7a6974ba3cbd1efa986537563c12d6ab22c506",
"index": 8,
"amount": 1100,
"name": "thisguyfucks",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "b688fbb9c29be71b450842c2369a5e074d15a5fef7f707fb7134eef6935ed699",
"value": 1000000,
"index": 0,
"outputBlockId": "3af60dc5808452df751057c59d1f13746a638c9880f6276960a7e600cb949967",
"outputTransactionId": "f3f22501bd604f1ad805bbececabf878a529774be3e8e95c76f481ef5030dcd4",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020404eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHcXaiuZGf9XTnSSazKFXS",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110a0ac0a386010206c83380897a3c8084af5f040a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,1100000,1,3,3300,1000000,30,100000000,2,5]"
},
"R6": {
"serializedValue": "110c0000322832c8016464a006c801c801d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,25,20,25,100,50,50,400,100,100,1000]"
},
"R8": {
"serializedValue": "101a3200b40132b80364e807c8019811f403c8011eea0332cc08649213fa01e601009c0400b009008c1500",
"sigmaType": "Coll[SInt]",
"renderedValue": "[25,0,90,25,220,50,500,100,1100,250,100,15,245,25,550,50,1225,125,115,0,270,0,600,0,1350,0]"
},
"R7": {
"serializedValue": "1104142864c801",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,20,50,100]"
},
"R4": {
"serializedValue": "1a06201b8051f0c446832f07d249e5badac9f8f8e3399e145e91273e2bef08322864f0207a8494a4a5bacf7d71967a77ad251711ba8fe10da2be11e251f55313e8b4b14220e901784be128272745ef53e9c7dd8a85026a633dacfea5a06fd61c045b891ef220b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f20a91a29f123da8dc96a1cced234c9b2780f48a6eb58b025e9eacc0dd492f34946207de5e17f63a7777d9d42c1a8e45bd3e7d361aa422c81ae4771986ab598889068",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1b8051f0c446832f07d249e5badac9f8f8e3399e145e91273e2bef08322864f0,7a8494a4a5bacf7d71967a77ad251711ba8fe10da2be11e251f55313e8b4b142,e901784be128272745ef53e9c7dd8a85026a633dacfea5a06fd61c045b891ef2,b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f,a91a29f123da8dc96a1cced234c9b2780f48a6eb58b025e9eacc0dd492f34946,7de5e17f63a7777d9d42c1a8e45bd3e7d361aa422c81ae4771986ab598889068]"
}
}
}
],
"outputs": [
{
"boxId": "a7828abc3bcf845728beb24672d130b56686b91593ba57a3ece6a792f960c161",
"transactionId": "42e4103206c86edd50b6bc349cb2d83b9caed8b6d2fa3a7df6c45fe9ce8ec740",
"blockId": "3c02ebe73eac04b98b7835c04b754770786a66f67809f3f6f14e3523c125a35e",
"value": 127900000,
"index": 0,
"globalIndex": 21914822,
"creationHeight": 843182,
"settlementHeight": 843184,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: false\n31: false\n32: 0\n33: 1000\n34: 1000000\n35: 0\n36: false\n37: false\n38: 0\n39: 4\n40: 1\n41: 1\n42: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n43: 8\n44: 2\n45: 1\n46: 100000000\n47: false\n48: false\n49: 3\n50: 5\n51: 1\n52: 0\n53: false\n54: 0\n55: 2\n56: 2\n57: 2\n58: 3\n59: 3\n60: 0\n61: 1\n62: 0\n63: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n64: 0\n65: 1000\n66: 1\n67: 1000\n68: 4\n69: 5\n70: 6\n71: 0\n72: 1\n73: 1\n74: 4\n75: 1\n76: 5\n77: 6\n78: 0\n79: 3\n80: 1\n81: 1\n82: 4\n83: 5\n84: 0\n85: 6\n86: 0\n87: 0\n88: 0\n89: 6\n90: 1\n91: 0\n92: 1\n93: false\n94: false\n95: false\n96: 2\n97: 3\n98: 2\n99: 1000\n100: 1000000\n101: 2\n102: 2\n103: 0\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: 3\n119: 0\n120: 0\n121: 0\n122: 2\n123: false\n124: 4\n125: 5\n126: 1\n127: 5\n128: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n sigmaProp(box1.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25)) && prop2 && sigmaProp((((if (!bool11) {(\n val l39 = max(l13 * l14 / placeholder[Long](26), placeholder[Long](27))\n if (coll4 == coll12) {(\n val tuple40 = coll15(placeholder[Int](28))\n ((((tuple40._1 == coll7) && (tuple40._2 == placeholder[Long](29))) && (box3.value >= l39)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l39 - l9)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool11 && (l18 == placeholder[Long](32))) {(\n val l39 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l39, l39) * l14 / placeholder[Long](33), placeholder[Long](34))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](35)) } else { placeholder[Boolean](36) }\n )} else { placeholder[Boolean](37) }) || if (bool11 && (l18 == placeholder[Long](38))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l39 = box3.R7[Long].get\n if ((l39 == placeholder[Long](39)) && (i25 > placeholder[Int](40))) {(\n val tuple40 = coll15(placeholder[Int](41))\n (tuple40._1 == placeholder[Coll[Byte]](42)) && (tuple40._2 == coll8(placeholder[Int](43)))\n )} else { (l39 == placeholder[Long](44)) || (((l39 == placeholder[Long](45)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](46))) }\n )} else { placeholder[Boolean](47) } } else { placeholder[Boolean](48) }) || if ((bool11 && (l18 != placeholder[Long](49))) && (l18 != placeholder[Long](50))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](51))) && (l27 == placeholder[Long](52)) } else { placeholder[Boolean](53) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](54))) { if (i30 > placeholder[Int](55)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](56)) == coll23(placeholder[Int](57)))) && (box3.R5[Coll[Int]].get(placeholder[Int](58)) == coll23(placeholder[Int](59)))) && (l27 == placeholder[Long](60))) && (coll31.size == placeholder[Int](61))) && (coll31(placeholder[Int](62))._1 == placeholder[Coll[Byte]](63))) && \n val coll39 = box3.R5[Coll[Int]].get\n val i40 = coll39(placeholder[Int](64))\n (((((((i40 <= placeholder[Int](65)) && (coll39(placeholder[Int](66)) <= placeholder[Int](67))) && (coll39(placeholder[Int](68)) == i32)) && (coll39(placeholder[Int](69)) == i33)) && (coll39(placeholder[Int](70)) == i34)) && (coll31(placeholder[Int](71))._2 >= i40 + coll39(placeholder[Int](72)) - i35 + i36.toLong)) || ((((((i40 == i35) && (coll39(placeholder[Int](73)) == i36)) && (coll39(placeholder[Int](74)) == i32 + placeholder[Int](75))) && (coll39(placeholder[Int](76)) == i33)) && (coll39(placeholder[Int](77)) == i34)) && (coll31(placeholder[Int](78))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](79) * i32 + placeholder[Int](80))))) || ((((i40 == i35) && (coll39(placeholder[Int](81)) == i36)) && (coll39(placeholder[Int](82)) == i32)) && \n val i41 = coll39(placeholder[Int](83))\n ((((i41 > placeholder[Int](84)) && (i41 != i33)) && (coll39(placeholder[Int](85)) == placeholder[Int](86))) && (coll31(placeholder[Int](87))._2 >= coll37(placeholder[Int](88)))) || (((i41 == i33) && (coll39(placeholder[Int](89)) == i34 + placeholder[Int](90))) && (coll31(placeholder[Int](91))._2 >= coll37(i34 + placeholder[Int](92))))\n )\n } else { placeholder[Boolean](93) } } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](96))) {\n if (i30 > placeholder[Int](97)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](98) * l14 / placeholder[Long](99), placeholder[Long](100))) && (\n OUTPUTS(placeholder[Int](101)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](102)).value >= l38)\n ) && bool26\n ) && (coll15(placeholder[Int](103))._2 == placeholder[Long](104))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](105))\n ) && (box3.R9[Long].get == l20)\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n if (i30 >= placeholder[Int](110)) {\n if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n } else { placeholder[Boolean](115) }\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n ) || if ((bool11 && bool29) && (l18 == placeholder[Long](118))) {\n (bool22 && (l27 == placeholder[Long](119))) || (\n (\n (((box16.R4[Coll[Byte]].get == coll21) && (box16.R6[SigmaProp].get == prop2)) && (box16.R7[Long].get == placeholder[Long](120))) && (\n box16.R9[Long].get == l20\n )\n ) && (coll31(placeholder[Int](121))._2 == placeholder[Long](122))\n )\n } else { placeholder[Boolean](123) }\n ) || if (bool11 && ((l18 == placeholder[Long](124)) || (l18 == placeholder[Long](125)))) {\n blake2b256(INPUTS(placeholder[Int](126)).propositionBytes) == coll5(placeholder[Int](127))\n } else { placeholder[Boolean](128) }\n )\n}",
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}