Transaction
ID: de338c073e...481d
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1279 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1279 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0279 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0279 ERG
Tokens:
Loading assets...
Unspent
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: 927,810
Total coins transferred: 0.2568 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000015 ERG
Raw Transaction Data
{
"id": "de338c073e64e5dfb84cbafaedbe4a2ec7933288d063efb30e52665d4855481d",
"blockId": "a63148a3e15f24f682bfd27c2bb3795133fa0664f50f47a08eb471d11ac48b0c",
"inclusionHeight": 843176,
"timestamp": 1663772413869,
"index": 8,
"globalIndex": 4060293,
"numConfirmations": 927810,
"inputs": [
{
"boxId": "249985cc03b61e112fb9bd34f68b8094848347a24f704d335833ea89349f9c27",
"value": 127900000,
"index": 0,
"spendingProof": null,
"outputBlockId": "8fd50368eceeb0dc48e0fd2a10fab20629bf7f09a654c172355454c592f1f8dc",
"outputTransactionId": "153d5d80265d1c3e57a1a88188a8b1de7cfc51e20901ef58dd572f08446ab7e8",
"outputIndex": 0,
"outputGlobalIndex": 21913614,
"outputCreatedAt": 843168,
"outputSettledAt": 843170,
"ergoTree": "1081010400040004000e2027906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c90402058092f40104020400010004060400040208cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e0400050401000402040001000408040a040c0400040204000e20839aeda1a589b18355eee8da3fe3f3d4b4a91e774f303baaf85010aa9c4b9ec705d00f0580897a0400050401000100050005d00f0580897a05000100010005000508040204020e20ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8041005040502058084af5f010001000506050a0402050001000500040404040404040604060500040204000e20c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99040004d00f040204d00f0408040a040c04000402040204080402040a040c04000406040204020408040a0400040c040004000400040c04020400040201000100010005040406050405d00f0580897a040404040400050405000100010001000502040804040402040404040100010001000506050005000400050401000508050a0402040a0100d826d601b2db6501fe730000d602e4c6a70608d603b2a5730100d604cbc27203d605e4c67201041ad606b27205730200d6077303d608e4c672010511d609b27208730400d60a9a73057209d60b959372047206d801d60bdb63087203eded92b1720b7306938cb2720b73070001720792c17203720a7308d60cb27205730900d60dc1a7d60eb27208730a00d60fdb63087203d610b2a5730b00d611c27210d612e4c6a70705d613d0730cd614e4c6a70905d615e4c6a7040ed61695720bededed93e4c6720309057214938cb2720f730d0002730e93e4c67203040e721593e4c6720306087202730fd617e4c6a70510d618c17203d619b1720fd61a937218720dd61be4c672030705d61ccb7211d61d9593721c7206d801d61ddb63087210eded92b1721d7310938cb2721d73110001720792c17210720a7312d61eb1a5d61fdb63087210d620b27217731300d621b27217731400d622b27217731500d623b27217731600d624b27217731700d625e4c672010711d626e4c6a70805ea02d1938cb2db63087201731800017319eb02ea027202d1ecececec95ef720bd801d627a29d9c720d720e731a731b95937204720cd801d628b2720f731c00edededed938c7228017207938c722802731d92c172037227937211d0720292c172109999720d72277209731e731f95ed720b9372127320d801d62799720dc17203959372117213ededed92c17210a29d9ca272277227720e73217322721693e4c672030510721793e4c67203070573237324732595ed720b937212732695eded937218720d721693e4c6720305107217d801d627e4c67203070595ed93722773279172197328d801d628b2720f732900ed938c722801732a938c722802b27208732b00ec937227732ceded937227732d90e4c67203080599720d720a92e4c672030805732e732f733095eded720b94721273319472127332edededed721a721693e4c6720305107217937219733393721b7334733595eded720bef721d93721273369591721e73379593721c720cededededededed721a721693b2e4c672030510733800b2721773390093b2e4c672030510733a00b27217733b0093721b733c93b1721f733d938cb2721f733e0001733fd802d627e4c672030510d628b27227734000ececededededed907228734190b27227734200734393b27227734400722093b27227734500722193b272277346007222928cb2721f734700027e999a7228b272277348009a7223722405ededededed937228722393b27227734900722493b27227734a009a7220734b93b27227734c00722193b27227734d007222928cb2721f734e0002b2e4c6720106119c734f9a7220735000ededed937228722393b27227735100722493b272277352007220d801d629b27227735300ecededed9172297354947229722193b272277355007356928cb2721f73570002b27225735800eded937229722193b272277359009a7222735a928cb2721f735b0002b272259a7222735c00735d735e735fd1ececec95ed720b93721273609591721e7361959372117213edededededededed92c17210a29d9c9c72267362720e7363736493c2b2a5736500d0720292c1b2a57366007226721a938cb2720f73670002736893e4c67203040e721593e4c672030510721793721b736993e4c6720309057214736a736b736c95eded720b721d937212736d9592721e736e9593cbc2b2a5736f00b2720573700093cbc2b2a4737100b2720573720073737374737595eded720b721d9372127376eced721693721b7377edededed93e4c67210040e721593e4c672100608720293e4c672100705737893e4c6721009057214938cb2721f73790002737a737b95ed720bec937212737c937212737d93cbc2b2a4737e00b27205737f00738001",
"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": "100706040000020000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[3,2,0,0,1,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R9": {
"serializedValue": "0568",
"sigmaType": "SLong",
"renderedValue": "52"
},
"R4": {
"serializedValue": "0ec001466c61743a3463306532323a3030303030303a333a353a4d3232312c313539513231382c3139332c3138342c313938513135302c3230332c3132362c323030513130322c3139372c37332e352c3139305134352c3138332c33352e352c3135345132362c3132352c32392e352c39312e355133332c35382c36392c3630513130352c36322c3132362e352c35372e35513134382c35332c3137342c36312e35513230302c37302c3231322c39372e35513232342c3132352c3232312c3135395a",
"sigmaType": "Coll[SByte]",
"renderedValue": "466c61743a3463306532323a3030303030303a333a353a4d3232312c313539513231382c3139332c3138342c313938513135302c3230332c3132362c323030513130322c3139372c37332e352c3139305134352c3138332c33352e352c3135345132362c3132352c32392e352c39312e355133332c35382c36392c3630513130352c36322c3132362e352c35372e35513134382c35332c3137342c36312e35513230302c37302c3231322c39372e35513232342c3132352c3232312c3135395a"
}
}
},
{
"boxId": "12a749d878470d407150b07d455b562fb7be89deb22367b5312b76ded70c65bf",
"value": 127900000,
"index": 1,
"spendingProof": null,
"outputBlockId": "42ece058e05759d47bcbb04a7f0915deaee8f88b1dbeb67a1369a5231038d076",
"outputTransactionId": "2c49feb8d6c589745637bf84d11002949b6f07e1d6b264ad9d781fb399cdf34f",
"outputIndex": 0,
"outputGlobalIndex": 21914128,
"outputCreatedAt": 843171,
"outputSettledAt": 843175,
"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": "100702020000000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,0,0,0,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R9": {
"serializedValue": "056a",
"sigmaType": "SLong",
"renderedValue": "53"
},
"R4": {
"serializedValue": "0e5f52696e676f3a3162623862613a6438376333383a343a313a4d3138342c313837513132352c3234392c37392c3138375133332c3132352c37392c36392e35513132352c31342c3138342c36392e35513234332c3132352c3138342c3138375a",
"sigmaType": "Coll[SByte]",
"renderedValue": "52696e676f3a3162623862613a6438376333383a343a313a4d3138342c313837513132352c3234392c37392c3138375133332c3132352c37392c36392e35513132352c31342c3138342c36392e35513234332c3132352c3138342c3138375a"
}
}
},
{
"boxId": "f27f251d218f1e142d86dec22bc40f7a7fe2f088fd9bc92d29074cf19aa49eeb",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "124c839e292cb831cd59a72a18eddddc344f009afa093414c9c3ee0a084b3f61",
"outputTransactionId": "6c475d1ac974d9a47ca16bdec265e26c9b99f782103614b5918a4f7ab7abf05d",
"outputIndex": 0,
"outputGlobalIndex": 21908809,
"outputCreatedAt": 843133,
"outputSettledAt": 843135,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 3\n2: 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)\n3: 2\n4: 3\n5: 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)\n6: 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)\n7: 0\n8: 1\n9: 1\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 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)\n14: 3\n15: 3\n16: 2\n17: 0\n18: 0\n19: 0\n20: 1\n21: 1\n22: 1\n23: 2\n24: false\n25: 3\n26: 2\n27: 1\n28: 3\n29: 0\n30: 0\n31: 2\n32: 1\n33: 1\n34: 2\n35: 2\n36: 2\n37: 2\n38: 2\n39: false\n40: false\n41: 3\n42: 0\n43: 3\n44: 0\n45: 0\n46: 1\n47: false\n48: false\n49: 3\n50: 1\n51: 3\n52: 0\n53: 0\n54: 1\n55: false\n56: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val bool2 = OUTPUTS.size > placeholder[Int](1)\n val coll3 = placeholder[Coll[Byte]](2)\n val coll4 = SELF.tokens\n val coll5 = box1.R5[Coll[Long]].get\n val l6 = coll5(placeholder[Int](3)) + coll5(placeholder[Int](4))\n val coll7 = placeholder[Coll[Byte]](5)\n val coll8 = box1.R4[Coll[Coll[Byte]]].get\n val coll9 = placeholder[Coll[Byte]](6)\n val box10 = OUTPUTS(placeholder[Int](7))\n val box11 = OUTPUTS(placeholder[Int](8))\n val l12 = coll5(placeholder[Int](9))\n val coll13 = coll8(placeholder[Int](10))\n placeholder[SigmaProp](11) || sigmaProp(\n ((((box1.tokens(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13)) && if (bool2 && (INPUTS.size == placeholder[Int](14))) {(\n val box14 = OUTPUTS(placeholder[Int](15))\n ((((((blake2b256(box14.propositionBytes) == blake2b256(SELF.propositionBytes)) && (box14.value == SELF.value)) && (box14.tokens.size == placeholder[Int](16))) && (box14.tokens(placeholder[Int](17))._1 == coll3)) && (box14.tokens(placeholder[Int](18))._2 == coll4(placeholder[Int](19))._2 - l6)) && (box14.tokens(placeholder[Int](20))._1 == coll7)) && (box14.tokens(placeholder[Int](21))._2 == coll4(placeholder[Int](22))._2 - placeholder[Long](23))\n )} else { placeholder[Boolean](24) }) && if (bool2 && (INPUTS.size == placeholder[Int](25))) {(\n val box14 = OUTPUTS(placeholder[Int](26))\n if (blake2b256(box14.propositionBytes) == coll8(placeholder[Int](27))) {(\n val coll15 = box14.tokens\n (((((((((((((((coll15.size == placeholder[Int](28)) && (coll15(placeholder[Int](29))._1 == coll9)) && (coll15(placeholder[Int](30))._2 == placeholder[Long](31))) && (coll15(placeholder[Int](32))._1 == coll3)) && (coll15(placeholder[Int](33))._2 == l6)) && (coll15(placeholder[Int](34))._1 == coll7)) && (coll15(placeholder[Int](35))._2 == placeholder[Long](36))) && (box10.R8[Long].get == box11.R8[Long].get)) && (box14.value >= placeholder[Long](37) * box10.R8[Long].get - l12)) && (box14.R4[SigmaProp].get == box10.R6[SigmaProp].get)) && (box14.R5[Long].get == box10.R9[Long].get)) && (box14.R6[Coll[Int]].get == box10.R5[Coll[Int]].get)) && (box14.value >= placeholder[Long](38) * box11.R8[Long].get - l12)) && (box14.R7[SigmaProp].get == box11.R6[SigmaProp].get)) && (box14.R8[Long].get == box11.R9[Long].get)) && (box14.R9[Coll[Int]].get == box11.R5[Coll[Int]].get)\n )} else { placeholder[Boolean](39) }\n )} else { placeholder[Boolean](40) }) && if (bool2 && (INPUTS.size == placeholder[Int](41))) { if (blake2b256(box10.propositionBytes) == coll13) {(\n val box14 = INPUTS(placeholder[Int](42))\n val l15 = box14.R8[Long].get\n ((((((((box10.value == box14.value - l15) && (box10.R4[Coll[Byte]].get == box14.R4[Coll[Byte]].get)) && (box10.R5[Coll[Int]].get == box14.R5[Coll[Int]].get)) && (box10.R6[SigmaProp].get == box14.R6[SigmaProp].get)) && (box10.R7[Long].get == placeholder[Long](43))) && (box10.R8[Long].get == l15)) && (box10.R9[Long].get == box14.R9[Long].get)) && (box10.tokens(placeholder[Int](44))._1 == coll9)) && (box10.tokens(placeholder[Int](45))._2 == placeholder[Long](46))\n )} else { placeholder[Boolean](47) } } else { placeholder[Boolean](48) }) && if (bool2 && (INPUTS.size == placeholder[Int](49))) {\n if (blake2b256(box11.propositionBytes) == coll13) {(\n val box14 = INPUTS(placeholder[Int](50))\n val l15 = box14.R8[Long].get\n (\n (\n (\n (\n (\n (\n ((box11.value == box14.value - l15) && (box11.R4[Coll[Byte]].get == box14.R4[Coll[Byte]].get)) && (\n box11.R5[Coll[Int]].get == box14.R5[Coll[Int]].get\n )\n ) && (box11.R6[SigmaProp].get == box14.R6[SigmaProp].get)\n ) && (box11.R7[Long].get == placeholder[Long](51))\n ) && (box11.R8[Long].get == l15)\n ) && (box11.R9[Long].get == box14.R9[Long].get)\n ) && (box11.tokens(placeholder[Int](52))._1 == coll9)\n ) && (box11.tokens(placeholder[Int](53))._2 == placeholder[Long](54))\n )} else { placeholder[Boolean](55) }\n } else { placeholder[Boolean](56) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
"index": 0,
"amount": 1000,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
"index": 1,
"amount": 1000,
"name": "Spicy Oatmeal",
"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": "577ce5f829a9d1b2f8af2e5260ee95f74c7abad87f46dacf645e5022da0c646d",
"transactionId": "de338c073e64e5dfb84cbafaedbe4a2ec7933288d063efb30e52665d4855481d",
"blockId": "a63148a3e15f24f682bfd27c2bb3795133fa0664f50f47a08eb471d11ac48b0c",
"value": 27900000,
"index": 0,
"globalIndex": 21914299,
"creationHeight": 843171,
"settlementHeight": 843176,
"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": "GcdDJQUSoNCRjXitt2aM7kanbnbkQtxYXWnrWF1z3RZtvww2DL8RLcEiu4bfz45U3zyHM51GtAc5GxR33ggtnxaoCsnFKYue9SFggRKjCfv4E4VfdZnsqQEqonzdqXWc3a6JzDSzJz8NegATfrKc57NuE5Yy51VkavUMFSSkH5x2e5estNrMsAo7yq5aHhRbaVoTw8MBDDb6Lx1BhyvT5SknPkCQfF9Eb4nBb4LiowSb8F4JzvEwdZ4FwwdjXz196oJi18yXRDK9ePVmph82KFk3p4CfvFQph4kU8u6rLBkVQa9rze9gHD3BSi8nc4Py6uYHEp3JMkBEbPjKPcP3rAHhdymUA7FrkqWiQa299ZHhCLLuwKzBf9bPdn7BG4an1gRFDur5HyvG5yvCphvowDj5XAoasnf76PCmzRYUQJ8EjzEhUnPMqQPugVUTDVv76XyoD8YfQm8Z7ds55P2CXs7EVR9HhQCC62T9PPrA6Qf6QGqxhgV6QTK7yoMjCRcNHvzVtHKJMegvVoUJjyHX72x4bEQeMJrLUB5bUnMcP7WBaa4jMXN5ovS3RU3rcbw6D2YKqCW7DaehQyvGvrAPVLC2DMUaWtD5oPjh7gRF8FHf48rDduPGmcdNN46y3MEFpdj42D2HjMBUSiyP9eH65exwaaGAsM8Q5kCAD5rgMZyVXbLtsdN2Hh3gokgGdYR1VQYtPckN8Pcsc7XGQPueXQZgtLcnX5sfrVcL2BoRCcXiPH5zdU5uqhMpjPvTpyJUSWb1DcRgzDFqeiGhu94zGxGsXaJb79oRZKuhWVRkgHc1YuLyhRLCWGNz6YEopbRH9sCNdsr9qbh17EFGdjb1EpvcpcUGFV4NpG11xpPdS8pPMLhAtrWyiybXuRoeqxBR5i6Hy9pKCsXYJMZ5xL9vShjYVMWBByTwrs7fHrjUc6E7AsLu58VJDzJZ5Z23odqfN7VYWVdu442dt2AVgdFGdeaJMLnqrte5e8CbmmZAGcgXh8FGF6Z2axTWZnxhiQTHTsNp6DuUXBNcEStudUic2RHR6RWXbbB4BTD9L3VBjXKZDNAPB4VW5eErDHMsTbCkfbkdaNTmuW9VorewGuhrYRBr5omBXBY6fzGFC6WVUEK7TaKYXb12f3AYnFkqXGVdgt15e5iocxkUNWNuaGbFPxkosP2vibe5g23ESJMCVaZ2UciV6UtF6HyKjzry7TmVVQym8953PP7UufgkS4UCKziLQCMFRL63iYHegP1gRtZgtCvthEnb8p6NPzvz8MyzqwGc6PHfDVE4oAfVYSz3LwP1ghsfh95nBsRZP2AGtimm4gUjXFHXQy11BQZHUHHGHu6hMC7XHXCgP674NhfUifgerMKft1nXFdkrxKsXHk5qe782NbHxUzDadnKTM8ffb1vPvmUA48kPdyimbeekyBKws7tnAVRAnirSHc4kuT6AXupbVfmye4JEfMQo5AqxF7pnMJ4pzAvTgjfRCcCkjcccZN84KZH785dL85w8zSb4M6GJ7ENhxyay2gVKdytKo2gCjvDNMrQ9sMUfNDf51TSeMjppRNmegFRb5kBghfLg355CGxfXbuXeNWtG5a7WrfMpwuq3RkR8JB3X2Bc5B1SQ7UeDJMogsXBdiG4djqVtBMXFwncUb953id7g666KaD6CutjYsWjiZbRko9MdntcxWESFadtf5mmAmwSExxNfjYb4RhhCv9C3X7bg1m5faTBNoEDEm6dbEM3cvfZHQ2qrrb1YdRXAGaqnNMZNECCkrDfk2t2AyjbdCPA4ffemiVt1p1MrtiZdjj24ordnKd7TfXWmyGdia1f2ETXgdED6rWV3CbLTDZJyAvKB7toSQYC1evHs4GaDCYXJyNCE6z13RpVbQ6CDMVzxBFp8YDhQMyBqiLrHEByNNBtFkwrnKG8tJnUEAb42JkQzMwGXDxFCrBw82NPmFbdsfkma2kWRSGrrXJtZzYW8xwSeEYLrL4x1CCBhTHfkfVufUACQnwNCdyHc5HbvyGthsA2RSNGxvRKigFJrzsyUfptxGvrzohiyWd2miamx4WhstvfwF623aNpYyebNKsAsNpfmsKUG6SsH1zMtPdYcg5LyFzy2a72XqksRck5MPxzpgYf1kGEXks9npJGN8uxfH1hC7g7epVz43fmUNh7z4MEqpx9avHvut7AgVMwscnGBLiLrYTdALeTKEAsRvX3sL2AodkDDbpPAx79YjvKgvQczHiD67DM3htAiJ8Kb3GNKn8ozTYr4X4KVn1bUgzopsfZJQiWXBDzqUGomJgvfwCMbGYPRMVGCwLudxP77KQwDUfx8HfuRkkYeENjFKFQnXL2xRFkvdQ9S1fTPVNANjvdwgfcwkvjXJtHrCivN8eFruwXdh75Tx2uxwHsLeKhQTkbHram5QCJUQkVH3BnHEgaehj7dSDekmMr4bTBsD2G57Mi8RkC42oQJN2eeNTRawATC9BuzgfCSNx",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100706040000020000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[3,2,0,0,1,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "0568",
"sigmaType": "SLong",
"renderedValue": "52"
},
"R4": {
"serializedValue": "0ec001466c61743a3463306532323a3030303030303a333a353a4d3232312c313539513231382c3139332c3138342c313938513135302c3230332c3132362c323030513130322c3139372c37332e352c3139305134352c3138332c33352e352c3135345132362c3132352c32392e352c39312e355133332c35382c36392c3630513130352c36322c3132362e352c35372e35513134382c35332c3137342c36312e35513230302c37302c3231322c39372e35513232342c3132352c3232312c3135395a",
"sigmaType": "Coll[SByte]",
"renderedValue": "466c61743a3463306532323a3030303030303a333a353a4d3232312c313539513231382c3139332c3138342c313938513135302c3230332c3132362c323030513130322c3139372c37332e352c3139305134352c3138332c33352e352c3135345132362c3132352c32392e352c39312e355133332c35382c36392c3630513130352c36322c3132362e352c35372e35513134382c35332c3137342c36312e35513230302c37302c3231322c39372e35513232342c3132352c3232312c3135395a"
}
},
"spentTransactionId": "3eeca6630ebd4d61aaf766d52b7b1f1437b42049d54732f51a4d9e0303459d2a",
"mainChain": true
},
{
"boxId": "9e4781f629efde77b6755175f185705f51bee424524636fbdf15494ccece6a43",
"transactionId": "de338c073e64e5dfb84cbafaedbe4a2ec7933288d063efb30e52665d4855481d",
"blockId": "a63148a3e15f24f682bfd27c2bb3795133fa0664f50f47a08eb471d11ac48b0c",
"value": 27900000,
"index": 1,
"globalIndex": 21914300,
"creationHeight": 843171,
"settlementHeight": 843176,
"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": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702020000000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,0,0,0,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "056a",
"sigmaType": "SLong",
"renderedValue": "53"
},
"R4": {
"serializedValue": "0e5f52696e676f3a3162623862613a6438376333383a343a313a4d3138342c313837513132352c3234392c37392c3138375133332c3132352c37392c36392e35513132352c31342c3138342c36392e35513234332c3132352c3138342c3138375a",
"sigmaType": "Coll[SByte]",
"renderedValue": "52696e676f3a3162623862613a6438376333383a343a313a4d3138342c313837513132352c3234392c37392c3138375133332c3132352c37392c36392e35513132352c31342c3138342c36392e35513234332c3132352c3138342c3138375a"
}
},
"spentTransactionId": "3eeca6630ebd4d61aaf766d52b7b1f1437b42049d54732f51a4d9e0303459d2a",
"mainChain": true
},
{
"boxId": "651c5c7176d987b8c6cdfd0eb5092e34172ad45d40a0365f7b7b12c91fffb36e",
"transactionId": "de338c073e64e5dfb84cbafaedbe4a2ec7933288d063efb30e52665d4855481d",
"blockId": "a63148a3e15f24f682bfd27c2bb3795133fa0664f50f47a08eb471d11ac48b0c",
"value": 198900000,
"index": 2,
"globalIndex": 21914301,
"creationHeight": 843171,
"settlementHeight": 843176,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 1\n4: 0\n5: 1\n6: 3\n7: CBigInt(-1)\n8: 1\n9: 2\n10: 4\n11: 3\n12: 5\n13: 0\n14: 1\n15: 6\n16: 2\n17: 8\n18: 1\n19: 2\n20: 5\n21: 5\n22: 2\n23: 1\n24: 4\n25: 1\n26: 2\n27: 4\n28: 3\n29: 5\n30: 0\n31: 6\n32: 2\n33: 8\n34: 1\n35: 2\n36: 5\n37: 5\n38: 2\n39: 1\n40: 0\n41: 3\n42: 0\n43: 6\n44: 2\n45: 4\n46: 1\n47: 0\n48: 3\n49: 6\n50: 2\n51: 4\n52: 1\n53: 3\n54: 5\n55: 1\n56: 2\n57: 0\n58: 6\n59: 1000\n60: 1\n61: 4\n62: 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)\n63: 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)\n64: 3\n65: 2\n66: 0\n67: 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)\n68: 0\n69: 0\n70: false\n71: 0\n72: 0\n73: false\n74: 2\n75: 2\n76: 3000000\n77: 2\n78: 2\n79: 3000000\n80: 2\n81: 2\n82: 0\n83: 1\n84: 1\n85: 1\n86: 0\n87: 0\n88: false\n89: 3\n90: 2\n91: 0\n92: 1\n93: 1\n94: 1\n95: 0\n96: 0\n97: false\n98: 0\n99: 1\n100: 4\n101: 5\n102: 6\n103: 2\n104: 1\n105: 3\n106: 1\n107: 2\n108: 1\n109: 3\n110: false\n111: 0\n112: 1\n113: 4\n114: 5\n115: 6\n116: 2\n117: 1\n118: 3\n119: 1\n120: 2\n121: 1\n122: 3\n123: false\n124: 4\n125: 4\n126: 0\n127: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = OUTPUTS(placeholder[Int](1))\n val coll3 = box1.R4[Coll[Coll[Byte]]].get\n val coll4 = coll3(placeholder[Int](2))\n val prop5 = SELF.R4[SigmaProp].get\n val box6 = OUTPUTS(placeholder[Int](3))\n val prop7 = SELF.R7[SigmaProp].get\n val coll8 = CONTEXT.headers(placeholder[Int](4)).id\n val bi9 = byteArrayToBigInt(coll8.slice(placeholder[Int](5), placeholder[Int](6)))\n val bi10 = placeholder[BigInt](7)\n val coll11 = SELF.R9[Coll[Int]].get\n val i12 = coll11(placeholder[Int](8))\n val i13 = coll11(placeholder[Int](9))\n val coll14 = box1.R6[Coll[Long]].get\n val i15 = coll11(placeholder[Int](10))\n val i16 = placeholder[Int](11) * i15\n val i17 = coll11(placeholder[Int](12))\n val bool18 = i17 == placeholder[Int](13)\n val coll19 = box1.R8[Coll[Int]].get\n val i20 = coll19(placeholder[Int](14))\n val i21 = coll11(placeholder[Int](15))\n val i22 = placeholder[Int](16) + placeholder[Int](17) * i17 - placeholder[Int](18) + placeholder[Int](19) * i21\n val l23 = placeholder[Int](20) * i12 + placeholder[Int](21) * i13.toLong + coll14(i16 + placeholder[Int](22)) + if (bool18) { i20 } else {\n coll19(i22 + placeholder[Int](23))\n }.toLong\n val coll24 = box1.R5[Coll[Long]].get\n val l25 = coll24(placeholder[Int](24))\n val coll26 = SELF.R6[Coll[Int]].get\n val i27 = coll26(placeholder[Int](25))\n val i28 = coll26(placeholder[Int](26))\n val i29 = coll26(placeholder[Int](27))\n val i30 = placeholder[Int](28) * i29\n val i31 = coll26(placeholder[Int](29))\n val bool32 = i31 == placeholder[Int](30)\n val i33 = coll26(placeholder[Int](31))\n val i34 = placeholder[Int](32) + placeholder[Int](33) * i31 - placeholder[Int](34) + placeholder[Int](35) * i33\n val l35 = placeholder[Int](36) * i27 + placeholder[Int](37) * i28.toLong + coll14(i30 + placeholder[Int](38)) + if (bool32) { i20 } else {\n coll19(i34 + placeholder[Int](39))\n }.toLong\n val i36 = coll11(placeholder[Int](40))\n val i37 = coll11(placeholder[Int](41))\n val i38 = coll19(placeholder[Int](42))\n val l39 = placeholder[Int](43) * i36 + placeholder[Int](44) * i13 + placeholder[Int](45) * i37.toLong + coll14(i16 + placeholder[Int](46)) + if (bool18) {\n i38\n } else { coll19(i22) }.toLong\n val i40 = coll26(placeholder[Int](47))\n val i41 = coll26(placeholder[Int](48))\n val l42 = placeholder[Int](49) * i40 + placeholder[Int](50) * i28 + placeholder[Int](51) * i41.toLong + coll14(i30 + placeholder[Int](52)) + if (bool32) {\n i38\n } else { coll19(i34) }.toLong\n val bi43 = max(max(bi9, bi10 * bi9), min(l23 + l25, l35).toBigInt) + min(l39 + l25, l42).toBigInt\n val bi44 = byteArrayToBigInt(coll8.slice(placeholder[Int](53), placeholder[Int](54)))\n val bi45 = max(max(bi44, bi10 * bi44), min(l35 + l25, l23).toBigInt) + min(l42 + l25, l39).toBigInt\n val bool46 = bi43 > bi45\n val l47 = SELF.value\n val l48 = coll24(placeholder[Int](55))\n val l49 = l47 + l48 / placeholder[Long](56)\n val l50 = INPUTS(placeholder[Int](57)).value\n val l51 = l47 * coll24(placeholder[Int](58)) / placeholder[Long](59)\n val l52 = INPUTS(placeholder[Int](60)).value\n val bool53 = bi43 <= bi45\n val bool54 = OUTPUTS.size > placeholder[Int](61)\n val coll55 = placeholder[Coll[Byte]](62)\n val coll56 = placeholder[Coll[Byte]](63)\n val l57 = coll24(placeholder[Int](64))\n val l58 = coll24(placeholder[Int](65))\n val opt59 = box2.R5[Coll[Int]]\n val opt60 = box6.R5[Coll[Int]]\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](66))._1 == placeholder[Coll[Byte]](67), if (blake2b256(box2.propositionBytes) == coll4) {\n (((box2.R6[SigmaProp].get == prop5) && (box2.R7[Long].get == placeholder[Long](68))) && (box2.R8[Long].get == placeholder[Long](69))) && (\n box2.R9[Long].get == SELF.R5[Long].get\n )\n } else { placeholder[Boolean](70) }, if (blake2b256(box6.propositionBytes) == coll4) {\n (((box6.R6[SigmaProp].get == prop7) && (box6.R7[Long].get == placeholder[Long](71))) && (box6.R8[Long].get == placeholder[Long](72))) && (\n box6.R9[Long].get == SELF.R8[Long].get\n )\n } else { placeholder[Boolean](73) }, anyOf(\n Coll[Boolean](\n (bool46 && (box2.value == l50 + placeholder[Long](74) * l49 - placeholder[Long](75) * l48 - placeholder[Long](76) - l51)) && (box6.value == l52), (\n bool53 && (box2.value == l50)\n ) && (box6.value == l52 + placeholder[Long](77) * l49 - placeholder[Long](78) * l48 - placeholder[Long](79) - l51)\n )\n ), if (bool54) {(\n val box61 = OUTPUTS(placeholder[Int](80))\n (\n (\n (\n ((box61.propositionBytes == prop5.propBytes) && (box61.tokens.size == placeholder[Int](81))) && (\n box61.tokens(placeholder[Int](82))._1 == coll55\n )\n ) && (box61.tokens(placeholder[Int](83))._1 == coll56)\n ) && (box61.tokens(placeholder[Int](84))._2 == placeholder[Long](85))\n ) && ((bool46 && (box61.tokens(placeholder[Int](86))._2 == l57)) || (bool53 && (box61.tokens(placeholder[Int](87))._2 == l58)))\n )} else { placeholder[Boolean](88) }, if (bool54) {(\n val box61 = OUTPUTS(placeholder[Int](89))\n (\n (\n (\n ((box61.propositionBytes == prop7.propBytes) && (box61.tokens.size == placeholder[Int](90))) && (\n box61.tokens(placeholder[Int](91))._1 == coll55\n )\n ) && (box61.tokens(placeholder[Int](92))._1 == coll56)\n ) && (box61.tokens(placeholder[Int](93))._2 == placeholder[Long](94))\n ) && ((bool46 && (box61.tokens(placeholder[Int](95))._2 == l58)) || (bool53 && (box61.tokens(placeholder[Int](96))._2 == l57)))\n )} else { placeholder[Boolean](97) }, if (opt59.isDefined) {(\n val coll61 = opt59.get\n (\n (\n (((coll61(placeholder[Int](98)) == i40) && (coll61(placeholder[Int](99)) == i27)) && (coll61(placeholder[Int](100)) == i29)) && (\n coll61(placeholder[Int](101)) == i31\n )\n ) && (coll61(placeholder[Int](102)) == i33)\n ) && (\n ((bool46 && (coll61(placeholder[Int](103)) == i28 + placeholder[Int](104))) && (coll61(placeholder[Int](105)) == i41 + placeholder[Int](106))) || (\n (bool53 && (coll61(placeholder[Int](107)) == i28 + placeholder[Int](108))) && (coll61(placeholder[Int](109)) == i41)\n )\n )\n )} else { placeholder[Boolean](110) }, if (opt60.isDefined) {(\n val coll61 = opt60.get\n (\n (\n (((coll61(placeholder[Int](111)) == i36) && (coll61(placeholder[Int](112)) == i12)) && (coll61(placeholder[Int](113)) == i15)) && (\n coll61(placeholder[Int](114)) == i17\n )\n ) && (coll61(placeholder[Int](115)) == i21)\n ) && (\n ((bool53 && (coll61(placeholder[Int](116)) == i13 + placeholder[Int](117))) && (coll61(placeholder[Int](118)) == i37 + placeholder[Int](119))) || (\n (bool46 && (coll61(placeholder[Int](120)) == i13 + placeholder[Int](121))) && (coll61(placeholder[Int](122)) == i37)\n )\n )\n )} else { placeholder[Boolean](123) }, if (bool54) {(\n val box61 = OUTPUTS(placeholder[Int](124))\n ((blake2b256(box61.propositionBytes) == coll3(placeholder[Int](125))) && (box61.value == l51)) && (box61.tokens.size == placeholder[Int](126))\n )} else { placeholder[Boolean](127) }\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"
},
{
"tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
"index": 2,
"amount": 2,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0568",
"sigmaType": "SLong",
"renderedValue": "52"
},
"R6": {
"serializedValue": "100706040000020000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[3,2,0,0,1,0,0]"
},
"R8": {
"serializedValue": "056a",
"sigmaType": "SLong",
"renderedValue": "53"
},
"R7": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R9": {
"serializedValue": "100702020000000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,0,0,0,0,0]"
},
"R4": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
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"transactionId": "de338c073e64e5dfb84cbafaedbe4a2ec7933288d063efb30e52665d4855481d",
"blockId": "a63148a3e15f24f682bfd27c2bb3795133fa0664f50f47a08eb471d11ac48b0c",
"value": 1000000,
"index": 3,
"globalIndex": 21914302,
"creationHeight": 843171,
"settlementHeight": 843176,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 3\n2: 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)\n3: 2\n4: 3\n5: 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)\n6: 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)\n7: 0\n8: 1\n9: 1\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 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)\n14: 3\n15: 3\n16: 2\n17: 0\n18: 0\n19: 0\n20: 1\n21: 1\n22: 1\n23: 2\n24: false\n25: 3\n26: 2\n27: 1\n28: 3\n29: 0\n30: 0\n31: 2\n32: 1\n33: 1\n34: 2\n35: 2\n36: 2\n37: 2\n38: 2\n39: false\n40: false\n41: 3\n42: 0\n43: 3\n44: 0\n45: 0\n46: 1\n47: false\n48: false\n49: 3\n50: 1\n51: 3\n52: 0\n53: 0\n54: 1\n55: false\n56: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val bool2 = OUTPUTS.size > placeholder[Int](1)\n val coll3 = placeholder[Coll[Byte]](2)\n val coll4 = SELF.tokens\n val coll5 = box1.R5[Coll[Long]].get\n val l6 = coll5(placeholder[Int](3)) + coll5(placeholder[Int](4))\n val coll7 = placeholder[Coll[Byte]](5)\n val coll8 = box1.R4[Coll[Coll[Byte]]].get\n val coll9 = placeholder[Coll[Byte]](6)\n val box10 = OUTPUTS(placeholder[Int](7))\n val box11 = OUTPUTS(placeholder[Int](8))\n val l12 = coll5(placeholder[Int](9))\n val coll13 = coll8(placeholder[Int](10))\n placeholder[SigmaProp](11) || sigmaProp(\n ((((box1.tokens(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13)) && if (bool2 && (INPUTS.size == placeholder[Int](14))) {(\n val box14 = OUTPUTS(placeholder[Int](15))\n ((((((blake2b256(box14.propositionBytes) == blake2b256(SELF.propositionBytes)) && (box14.value == SELF.value)) && (box14.tokens.size == placeholder[Int](16))) && (box14.tokens(placeholder[Int](17))._1 == coll3)) && (box14.tokens(placeholder[Int](18))._2 == coll4(placeholder[Int](19))._2 - l6)) && (box14.tokens(placeholder[Int](20))._1 == coll7)) && (box14.tokens(placeholder[Int](21))._2 == coll4(placeholder[Int](22))._2 - placeholder[Long](23))\n )} else { placeholder[Boolean](24) }) && if (bool2 && (INPUTS.size == placeholder[Int](25))) {(\n val box14 = OUTPUTS(placeholder[Int](26))\n if (blake2b256(box14.propositionBytes) == coll8(placeholder[Int](27))) {(\n val coll15 = box14.tokens\n (((((((((((((((coll15.size == placeholder[Int](28)) && (coll15(placeholder[Int](29))._1 == coll9)) && (coll15(placeholder[Int](30))._2 == placeholder[Long](31))) && (coll15(placeholder[Int](32))._1 == coll3)) && (coll15(placeholder[Int](33))._2 == l6)) && (coll15(placeholder[Int](34))._1 == coll7)) && (coll15(placeholder[Int](35))._2 == placeholder[Long](36))) && (box10.R8[Long].get == box11.R8[Long].get)) && (box14.value >= placeholder[Long](37) * box10.R8[Long].get - l12)) && (box14.R4[SigmaProp].get == box10.R6[SigmaProp].get)) && (box14.R5[Long].get == box10.R9[Long].get)) && (box14.R6[Coll[Int]].get == box10.R5[Coll[Int]].get)) && (box14.value >= placeholder[Long](38) * box11.R8[Long].get - l12)) && (box14.R7[SigmaProp].get == box11.R6[SigmaProp].get)) && (box14.R8[Long].get == box11.R9[Long].get)) && (box14.R9[Coll[Int]].get == box11.R5[Coll[Int]].get)\n )} else { placeholder[Boolean](39) }\n )} else { placeholder[Boolean](40) }) && if (bool2 && (INPUTS.size == placeholder[Int](41))) { if (blake2b256(box10.propositionBytes) == coll13) {(\n val box14 = INPUTS(placeholder[Int](42))\n val l15 = box14.R8[Long].get\n ((((((((box10.value == box14.value - l15) && (box10.R4[Coll[Byte]].get == box14.R4[Coll[Byte]].get)) && (box10.R5[Coll[Int]].get == box14.R5[Coll[Int]].get)) && (box10.R6[SigmaProp].get == box14.R6[SigmaProp].get)) && (box10.R7[Long].get == placeholder[Long](43))) && (box10.R8[Long].get == l15)) && (box10.R9[Long].get == box14.R9[Long].get)) && (box10.tokens(placeholder[Int](44))._1 == coll9)) && (box10.tokens(placeholder[Int](45))._2 == placeholder[Long](46))\n )} else { placeholder[Boolean](47) } } else { placeholder[Boolean](48) }) && if (bool2 && (INPUTS.size == placeholder[Int](49))) {\n if (blake2b256(box11.propositionBytes) == coll13) {(\n val box14 = INPUTS(placeholder[Int](50))\n val l15 = box14.R8[Long].get\n (\n (\n (\n (\n (\n (\n ((box11.value == box14.value - l15) && (box11.R4[Coll[Byte]].get == box14.R4[Coll[Byte]].get)) && (\n box11.R5[Coll[Int]].get == box14.R5[Coll[Int]].get\n )\n ) && (box11.R6[SigmaProp].get == box14.R6[SigmaProp].get)\n ) && (box11.R7[Long].get == placeholder[Long](51))\n ) && (box11.R8[Long].get == l15)\n ) && (box11.R9[Long].get == box14.R9[Long].get)\n ) && (box11.tokens(placeholder[Int](52))._1 == coll9)\n ) && (box11.tokens(placeholder[Int](53))._2 == placeholder[Long](54))\n )} else { placeholder[Boolean](55) }\n } else { placeholder[Boolean](56) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "c022e32e43fe48fc0646bb91f4979c72cace5097c5608192db788458461fdc99",
"index": 0,
"amount": 996,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ed196b247280abe3573bc6e3dc65f7d33a46423566f5bdc637ff198719fdfad8",
"index": 1,
"amount": 998,
"name": "Spicy Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "71390f4fe02ae8ac065c5973f5fd5594a160eb862776a971bf6494f84b4c2868",
"mainChain": true
},
{
"boxId": "0e484f275766d99c08978b419ff39d7b5121ec3ae110a8fb6dcf95ffaa8c8210",
"transactionId": "de338c073e64e5dfb84cbafaedbe4a2ec7933288d063efb30e52665d4855481d",
"blockId": "a63148a3e15f24f682bfd27c2bb3795133fa0664f50f47a08eb471d11ac48b0c",
"value": 1100000,
"index": 4,
"globalIndex": 21914303,
"creationHeight": 843171,
"settlementHeight": 843176,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "c3c80d969407701b0d56afbf36d5ba31530fd646130ac559d34fd64774e4bc8f",
"mainChain": true
}
],
"size": 7336,
"isUnconfirmed": false
}