Transaction
ID: adaec11393...f0dc
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.007 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.41 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.257 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00125 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.15 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 934,148
Total coins transferred: 1.41 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000734 ERG
Raw Transaction Data
{
"id": "adaec113939758c35e5e6e40bd9e53caae65c19a1c783d799cb7aaaee6b3f0dc",
"blockId": "89f8b3199df47104e3619a0aafd8c8109855f6a8975952a225b9a46329734142",
"inclusionHeight": 827146,
"timestamp": 1661839818044,
"index": 33,
"globalIndex": 3872501,
"numConfirmations": 934148,
"inputs": [
{
"boxId": "abdd726dee69169d0e410940793ac5dfbbbc50475080e8bce6ce9f87fa01b2a4",
"value": 7000000,
"index": 0,
"spendingProof": "7b22da04317943f7c44308b93f46323b2079934c52b5ff9b17e49fac55f3dad063b788fa56b06f74ccf5ca83f4b39591055235cd0dcee58c",
"outputBlockId": "3ddcf0e65e51de686aa6fc47b00f3eaf5af51a3f5d6b4fb526f621c87489edf2",
"outputTransactionId": "fe6fa615e5beb5b3d6b630051eefdba24c8436a707648ebdee9af4a332e8967f",
"outputIndex": 0,
"outputGlobalIndex": 20853229,
"outputCreatedAt": 826879,
"outputSettledAt": 826882,
"ergoTree": "107104000e203aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a0402058092f40104000400010004000406040008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04000400040004020404040604000402040404060402040204000e2009ef6c93c6fe2534d6b840c8524a173fea2b7cb1bb0c1c1f0f739dc310e6d10b040005d00f0580897a0400050404020402010001000500040205d00f0580897a050404000402040404060400050005000500010001000500050404000504050201000506050404000500050001000500040404040406050005000504040204000e2025ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901040005d00f040205d00f04000400040201000100010005040406050405d00f0580897a040404040504040005000500010001000100050204080404040204040404010001000100050605000500050405000500040005040100d820d601b2db6501fe730000d602e4c6a70608d603e4c67201041ad6047301d605e4c672010511d606b27205730200d6079a73037206d608d9010804d801d60ab2a57208009593cbc2720ab27203730400ed938cb2db6308720a73050001720492c1720a72077306d609da7208017307d60ab27203730800d60bc1a7d60cb27205730900d60de4c6a70705d60ed0730ad60fb2a5730b00d6108cb2db6308720f730c0002d611e4c6a7040ed612e4c6a70511d613b27212730d00d614b27212730e00d615b27212730f00d616b27212731000d617e4c6a70905d618e4c6a70805d619c1720fd61ad9011a04d801d61ce4c6b2a5721a000511ededed93b2721c731100721393b2721c731200721493b2721c731300721593b2721c7314007216d61b937219720bd61cda7208017315d61db1a5d61eb2a5731600d61fc2721ed62093e4c6720f040e7211ea02d1938cb2db63087201731700017318eb02ea027202d1ecececec95ef7209d802d621b2a5731900d622a29d9c720b720c731a731b9593cbc27221720ad801d623b2db63087221731c00edededed938c7223017204938c722302731d92c17221722293c2b2a5731e00d0720292c1b2a5731f009999720b722272067320732195ed720993720d7322d802d621b2a5732300d62299720bc1720f9593c27221720eedededededededed92c17221a29d9ca272227222720c73247325937210732693e4c6720f040e7211dad9012304d801d625e4c6b2a57223000511ededed93b27225732700721393b27225732800721493b27225732900721593b27225732a00721601732b93e4c6720f0608720293e4c6720f0705732c93e4c6720f0805732d93e4c6720f09057217937218732e732f733095ed720993720d7331edededededed937219720b937210733293e4c6720f040e7211da721a01733393e4c6720f0608720293e4c6720f09057217d801d621e4c6720f0705ec9372217334ed937221733590e4c6720f080599720b7207733695ed720994720d7337ededededededed721b937210733893e4c6720f040e7211da721a01733993e4c6720f0608720293e4c6720f0705733a93e4c6720f0805733b93e4c6720f09057217733c95eded7209ef721c93720d733d9591721d733e9593cb721f720aededededededededededededed721b722093b2e4c6720f0511733f00721593b2e4c6720f0511734000721693e4c6720f0608720293e4c6720f0705734193e4c6720f0805734293e4c6720f09057217937210734393b1db6308721e7344938cb2db6308721e73450001734690b2e4c6720f0511734700734890b2e4c6720f0511734900734ad801d621e4c6720f0511928cb2db6308721e734b0002999ab27221734c00b27221734d009a72137214734e734f7350d1ecec95ed720993720d73519591721d73529593721f720eededededededededed92c1721ea29d9c9c72187353720c7354735593c2b2a5735600d0720292c1b2a57357007218721b93721073587220da721a01735993e4c6720f0705735a93e4c6720f0805735b93e4c6720f09057217735c735d735e95eded7209721c93720d735f9592721d73609593cbc2b2a5736100b2720373620093cbc2b2a4736300b2720373640073657366736795eded7209721c93720d7368ecededededed722093e4c6720f0608720293e4c6720f0705736993e4c6720f0805736a93e4c6720f09057217937210736bededededed93e4c6721e040e721193e4c6721e0608720293e4c6721e0705736c93e4c6721e0805736d93e4c6721e09057217938cb2db6308721e736e0002736f7370",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 0\n5: 0\n6: false\n7: 0\n8: 3\n9: 0\n10: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n11: 0\n12: 0\n13: 0\n14: 1\n15: 2\n16: 3\n17: 0\n18: 1\n19: 2\n20: 3\n21: 1\n22: 1\n23: 0\n24: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n25: 0\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: 1\n31: 1\n32: false\n33: false\n34: 0\n35: 1\n36: 1000\n37: 1000000\n38: 2\n39: 0\n40: 1\n41: 2\n42: 3\n43: 0\n44: 0\n45: 0\n46: 0\n47: false\n48: false\n49: 0\n50: 2\n51: 0\n52: 2\n53: 1\n54: false\n55: 3\n56: 2\n57: 0\n58: 0\n59: 0\n60: false\n61: 0\n62: 2\n63: 2\n64: 3\n65: 0\n66: 0\n67: 2\n68: 1\n69: 0\n70: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n71: 0\n72: 1000\n73: 1\n74: 1000\n75: 0\n76: 0\n77: 1\n78: false\n79: false\n80: false\n81: 2\n82: 3\n83: 2\n84: 1000\n85: 1000000\n86: 2\n87: 2\n88: 2\n89: 0\n90: 0\n91: 0\n92: false\n93: false\n94: false\n95: 1\n96: 4\n97: 2\n98: 1\n99: 2\n100: 2\n101: false\n102: false\n103: false\n104: 3\n105: 0\n106: 0\n107: 2\n108: 0\n109: 0\n110: 0\n111: 2\n112: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = box1.R4[Coll[Coll[Byte]]].get\n val coll4 = placeholder[Coll[Byte]](1)\n val coll5 = box1.R5[Coll[Long]].get\n val l6 = coll5(placeholder[Int](2))\n val l7 = placeholder[Long](3) + l6\n val func8 = {(i8: Int) =>\n val box10 = OUTPUTS(i8)\n if (blake2b256(box10.propositionBytes) == coll3(placeholder[Int](4))) { (box10.tokens(placeholder[Int](5))._1 == coll4) && (box10.value >= l7) } else {\n placeholder[Boolean](6)\n }\n }\n val bool9 = func8(placeholder[Int](7))\n val coll10 = coll3(placeholder[Int](8))\n val l11 = SELF.value\n val l12 = coll5(placeholder[Int](9))\n val l13 = SELF.R7[Long].get\n val coll14 = placeholder[SigmaProp](10).propBytes\n val box15 = OUTPUTS(placeholder[Int](11))\n val l16 = box15.tokens(placeholder[Int](12))._2\n val coll17 = SELF.R4[Coll[Byte]].get\n val coll18 = SELF.R5[Coll[Long]].get\n val l19 = coll18(placeholder[Int](13))\n val l20 = coll18(placeholder[Int](14))\n val l21 = coll18(placeholder[Int](15))\n val l22 = coll18(placeholder[Int](16))\n val l23 = SELF.R9[Long].get\n val l24 = SELF.R8[Long].get\n val l25 = box15.value\n val func26 = {(i26: Int) =>\n val coll28 = OUTPUTS(i26).R5[Coll[Long]].get\n (((coll28(placeholder[Int](17)) == l19) && (coll28(placeholder[Int](18)) == l20)) && (coll28(placeholder[Int](19)) == l21)) && (\n coll28(placeholder[Int](20)) == l22\n )\n }\n val bool27 = l25 == l11\n val bool28 = func8(placeholder[Int](21))\n val i29 = OUTPUTS.size\n val box30 = OUTPUTS(placeholder[Int](22))\n val coll31 = box30.propositionBytes\n val bool32 = box15.R4[Coll[Byte]].get == coll17\n sigmaProp(box1.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24)) && prop2 && sigmaProp((((if (!bool9) {(\n val box33 = OUTPUTS(placeholder[Int](25))\n val l34 = max(l11 * l12 / placeholder[Long](26), placeholder[Long](27))\n if (blake2b256(box33.propositionBytes) == coll10) {(\n val tuple35 = box33.tokens(placeholder[Int](28))\n ((((tuple35._1 == coll4) && (tuple35._2 == placeholder[Long](29))) && (box33.value >= l34)) && (OUTPUTS(placeholder[Int](30)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](31)).value >= l11 - l34 - l6)\n )} else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } || if (bool9 && (l13 == placeholder[Long](34))) {(\n val box33 = OUTPUTS(placeholder[Int](35))\n val l34 = l11 - box15.value\n if (box33.propositionBytes == coll14) { ((((((((box33.value >= max(max(l34, l34) * l12 / placeholder[Long](36), placeholder[Long](37))) && (l16 == placeholder[Long](38))) && (box15.R4[Coll[Byte]].get == coll17)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](39)) == l19) && (coll37(placeholder[Int](40)) == l20)) && (coll37(placeholder[Int](41)) == l21)) && (coll37(placeholder[Int](42)) == l22)\n }(placeholder[Int](43))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](44))) && (box15.R8[Long].get == placeholder[Long](45))) && (box15.R9[Long].get == l23)) && (l24 == placeholder[Long](46)) } else { placeholder[Boolean](47) }\n )} else { placeholder[Boolean](48) }) || if (bool9 && (l13 == placeholder[Long](49))) { ((((((l25 == l11) && (l16 == placeholder[Long](50))) && (box15.R4[Coll[Byte]].get == coll17)) && func26(placeholder[Int](51))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l23)) && \n val l33 = box15.R7[Long].get\n (l33 == placeholder[Long](52)) || ((l33 == placeholder[Long](53)) && (box15.R8[Long].get <= l11 - l7))\n } else { placeholder[Boolean](54) }) || if (bool9 && (l13 != placeholder[Long](55))) { ((((((bool27 && (l16 == placeholder[Long](56))) && (box15.R4[Coll[Byte]].get == coll17)) && func26(placeholder[Int](57))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](58))) && (box15.R8[Long].get == placeholder[Long](59))) && (box15.R9[Long].get == l23) } else { placeholder[Boolean](60) }) || if ((bool9 && (!bool28)) && (l13 == placeholder[Long](61))) { if (i29 > placeholder[Int](62)) { if (blake2b256(coll31) == coll10) { ((((((((((((bool27 && bool32) && (box15.R5[Coll[Long]].get(placeholder[Int](63)) == l21)) && (box15.R5[Coll[Long]].get(placeholder[Int](64)) == l22)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](65))) && (box15.R8[Long].get == placeholder[Long](66))) && (box15.R9[Long].get == l23)) && (l16 == placeholder[Long](67))) && (box30.tokens.size == placeholder[Int](68))) && (box30.tokens(placeholder[Int](69))._1 == placeholder[Coll[Byte]](70))) && (box15.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && (box15.R5[Coll[Long]].get(placeholder[Int](73)) <= placeholder[Long](74))) && \n val coll33 = box15.R5[Coll[Long]].get\n box30.tokens(placeholder[Int](75))._2 >= coll33(placeholder[Int](76)) + coll33(placeholder[Int](77)) - l19 + l20\n } else { placeholder[Boolean](78) } } else { placeholder[Boolean](79) } } else { placeholder[Boolean](80) }) || sigmaProp(\n (\n if (bool9 && (l13 == placeholder[Long](81))) {\n if (i29 > placeholder[Int](82)) {\n if (coll31 == coll14) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box30.value >= max(l24 * placeholder[Long](83) * l12 / placeholder[Long](84), placeholder[Long](85))) && (\n OUTPUTS(placeholder[Int](86)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](87)).value >= l24)\n ) && bool27\n ) && (l16 == placeholder[Long](88))\n ) && bool32\n ) && func26(placeholder[Int](89))\n ) && (box15.R7[Long].get == placeholder[Long](90))\n ) && (box15.R8[Long].get == placeholder[Long](91))\n ) && (box15.R9[Long].get == l23)\n } else { placeholder[Boolean](92) }\n } else { placeholder[Boolean](93) }\n } else { placeholder[Boolean](94) } || if ((bool9 && bool28) && (l13 == placeholder[Long](95))) {\n if (i29 >= placeholder[Int](96)) {\n if (blake2b256(OUTPUTS(placeholder[Int](97)).propositionBytes) == coll3(placeholder[Int](98))) {\n blake2b256(INPUTS(placeholder[Int](99)).propositionBytes) == coll3(placeholder[Int](100))\n } else { placeholder[Boolean](101) }\n } else { placeholder[Boolean](102) }\n } else { placeholder[Boolean](103) }\n ) || if ((bool9 && bool28) && (l13 == placeholder[Long](104))) {\n (\n (\n (\n ((bool32 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](105))) && (box15.R8[Long].get == placeholder[Long](106))\n ) && (box15.R9[Long].get == l23)\n ) && (l16 == placeholder[Long](107))\n ) || (\n (\n (\n (((box30.R4[Coll[Byte]].get == coll17) && (box30.R6[SigmaProp].get == prop2)) && (box30.R7[Long].get == placeholder[Long](108))) && (\n box30.R8[Long].get == placeholder[Long](109)\n )\n ) && (box30.R9[Long].get == l23)\n ) && (box30.tokens(placeholder[Int](110))._2 == placeholder[Long](111))\n )\n } else { placeholder[Boolean](112) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110402020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,0,0]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
}
},
{
"boxId": "72359d6bdf716807a0ab8ccf9f95a3cf546b43cf28e31f3b911d28a5790bc0f0",
"value": 1407615623,
"index": 1,
"spendingProof": "0e92b1a1b9091472754bcaa0fde2aa950fb0e6b7606f75730305a2410899eb84b47b809f6df22db7810fe09d640dc51a4cea057a1514e5b9",
"outputBlockId": "d4563dd5cabc886c3c3fb261c77ccbecb350cabdcbce670c4b0f2bd79e52d52f",
"outputTransactionId": "cb5bc50180dfe7ba6f6d983aa15f3a90bc7759d2d5d3813b49a270f005ca4687",
"outputIndex": 1,
"outputGlobalIndex": 20607612,
"outputCreatedAt": 822899,
"outputSettledAt": 822902,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
"tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
"index": 0,
"amount": 6,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e91cbc48016eb390f8f872aa2962772863e2e840708517d1ab85e57451f91bed",
"index": 1,
"amount": 1187,
"name": "Ergold",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
"index": 2,
"amount": 144488,
"name": "EXLE",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "665e47bf28563943d79bcaf310533177410100c06f55730e302572c9759841e2",
"index": 3,
"amount": 2,
"name": "HeyHo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
"index": 4,
"amount": 221566,
"name": "Paideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "669e24e2b39b06b6134bc0dd67ee57f4ce2cbc1a5b552e39d655737a05f6f384",
"index": 5,
"amount": 3,
"name": "Have_A_Nice_Day",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fd9aaa087978f522fc838295bbecc5b9c4409ca5b49f55235906f9be7a443f7f",
"index": 6,
"amount": 2,
"name": "SAFEW pink logo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "74d7745b32e895008027a853ea7a6974ba3cbd1efa986537563c12d6ab22c506",
"index": 7,
"amount": 1100,
"name": "thisguyfucks",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "cd6989b02d49780cf12bedc6c4018f11d8e43159650e0b5e80cba12a8d748a9f",
"value": 1000000,
"index": 0,
"outputBlockId": "d97eb93523c3df157faf274480df0e28b2d60e1494a6628c9b4ac61c2e897660",
"outputTransactionId": "74a6f8fd75ac33bebff9fbbdf06886efa11f56010644ad877edebb6a97866138",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a04208fbf32b62bf1d91afc9a4c65992c969593d65ff373dd9995879baf6ef5f4f3362003534426e98731c9ab1321daa88504574c3b120bd922ed5f890fd4fede97e62c202e49a379f7e3479d2c54fc1cda887a7c15c2c3e55f63daa9aa839bbd507d8473201e0bd8ad69f1b1160303b527205007a7107fec6029435d1ab14305d1bfa72e06",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8fbf32b62bf1d91afc9a4c65992c969593d65ff373dd9995879baf6ef5f4f336,03534426e98731c9ab1321daa88504574c3b120bd922ed5f890fd4fede97e62c,2e49a379f7e3479d2c54fc1cda887a7c15c2c3e55f63daa9aa839bbd507d8473,1e0bd8ad69f1b1160303b527205007a7107fec6029435d1ab14305d1bfa72e06]"
},
"R5": {
"serializedValue": "11060a8092f4010206c83380897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,2000000,1,3,3300,1000000]"
}
}
}
],
"outputs": [
{
"boxId": "870b965ef9abbf13613aad65550e306d7e1c6f0ea41b72262bb6d731f91256a4",
"transactionId": "adaec113939758c35e5e6e40bd9e53caae65c19a1c783d799cb7aaaee6b3f0dc",
"blockId": "89f8b3199df47104e3619a0aafd8c8109855f6a8975952a225b9a46329734142",
"value": 257000000,
"index": 0,
"globalIndex": 20874568,
"creationHeight": 827143,
"settlementHeight": 827146,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 0\n5: 0\n6: false\n7: 0\n8: 3\n9: 0\n10: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n11: 0\n12: 0\n13: 0\n14: 1\n15: 2\n16: 3\n17: 0\n18: 1\n19: 2\n20: 3\n21: 1\n22: 1\n23: 0\n24: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n25: 0\n26: 1000\n27: 1000000\n28: 0\n29: 2\n30: 1\n31: 1\n32: false\n33: false\n34: 0\n35: 1\n36: 1000\n37: 1000000\n38: 2\n39: 0\n40: 1\n41: 2\n42: 3\n43: 0\n44: 0\n45: 0\n46: 0\n47: false\n48: false\n49: 0\n50: 2\n51: 0\n52: 2\n53: 1\n54: false\n55: 3\n56: 2\n57: 0\n58: 0\n59: 0\n60: false\n61: 0\n62: 2\n63: 2\n64: 3\n65: 0\n66: 0\n67: 2\n68: 1\n69: 0\n70: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n71: 0\n72: 1000\n73: 1\n74: 1000\n75: 0\n76: 0\n77: 1\n78: false\n79: false\n80: false\n81: 2\n82: 3\n83: 2\n84: 1000\n85: 1000000\n86: 2\n87: 2\n88: 2\n89: 0\n90: 0\n91: 0\n92: false\n93: false\n94: false\n95: 1\n96: 4\n97: 2\n98: 1\n99: 2\n100: 2\n101: false\n102: false\n103: false\n104: 3\n105: 0\n106: 0\n107: 2\n108: 0\n109: 0\n110: 0\n111: 2\n112: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = box1.R4[Coll[Coll[Byte]]].get\n val coll4 = placeholder[Coll[Byte]](1)\n val coll5 = box1.R5[Coll[Long]].get\n val l6 = coll5(placeholder[Int](2))\n val l7 = placeholder[Long](3) + l6\n val func8 = {(i8: Int) =>\n val box10 = OUTPUTS(i8)\n if (blake2b256(box10.propositionBytes) == coll3(placeholder[Int](4))) { (box10.tokens(placeholder[Int](5))._1 == coll4) && (box10.value >= l7) } else {\n placeholder[Boolean](6)\n }\n }\n val bool9 = func8(placeholder[Int](7))\n val coll10 = coll3(placeholder[Int](8))\n val l11 = SELF.value\n val l12 = coll5(placeholder[Int](9))\n val l13 = SELF.R7[Long].get\n val coll14 = placeholder[SigmaProp](10).propBytes\n val box15 = OUTPUTS(placeholder[Int](11))\n val l16 = box15.tokens(placeholder[Int](12))._2\n val coll17 = SELF.R4[Coll[Byte]].get\n val coll18 = SELF.R5[Coll[Long]].get\n val l19 = coll18(placeholder[Int](13))\n val l20 = coll18(placeholder[Int](14))\n val l21 = coll18(placeholder[Int](15))\n val l22 = coll18(placeholder[Int](16))\n val l23 = SELF.R9[Long].get\n val l24 = SELF.R8[Long].get\n val l25 = box15.value\n val func26 = {(i26: Int) =>\n val coll28 = OUTPUTS(i26).R5[Coll[Long]].get\n (((coll28(placeholder[Int](17)) == l19) && (coll28(placeholder[Int](18)) == l20)) && (coll28(placeholder[Int](19)) == l21)) && (\n coll28(placeholder[Int](20)) == l22\n )\n }\n val bool27 = l25 == l11\n val bool28 = func8(placeholder[Int](21))\n val i29 = OUTPUTS.size\n val box30 = OUTPUTS(placeholder[Int](22))\n val coll31 = box30.propositionBytes\n val bool32 = box15.R4[Coll[Byte]].get == coll17\n sigmaProp(box1.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24)) && prop2 && sigmaProp((((if (!bool9) {(\n val box33 = OUTPUTS(placeholder[Int](25))\n val l34 = max(l11 * l12 / placeholder[Long](26), placeholder[Long](27))\n if (blake2b256(box33.propositionBytes) == coll10) {(\n val tuple35 = box33.tokens(placeholder[Int](28))\n ((((tuple35._1 == coll4) && (tuple35._2 == placeholder[Long](29))) && (box33.value >= l34)) && (OUTPUTS(placeholder[Int](30)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](31)).value >= l11 - l34 - l6)\n )} else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } || if (bool9 && (l13 == placeholder[Long](34))) {(\n val box33 = OUTPUTS(placeholder[Int](35))\n val l34 = l11 - box15.value\n if (box33.propositionBytes == coll14) { ((((((((box33.value >= max(max(l34, l34) * l12 / placeholder[Long](36), placeholder[Long](37))) && (l16 == placeholder[Long](38))) && (box15.R4[Coll[Byte]].get == coll17)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](39)) == l19) && (coll37(placeholder[Int](40)) == l20)) && (coll37(placeholder[Int](41)) == l21)) && (coll37(placeholder[Int](42)) == l22)\n }(placeholder[Int](43))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](44))) && (box15.R8[Long].get == placeholder[Long](45))) && (box15.R9[Long].get == l23)) && (l24 == placeholder[Long](46)) } else { placeholder[Boolean](47) }\n )} else { placeholder[Boolean](48) }) || if (bool9 && (l13 == placeholder[Long](49))) { ((((((l25 == l11) && (l16 == placeholder[Long](50))) && (box15.R4[Coll[Byte]].get == coll17)) && func26(placeholder[Int](51))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R9[Long].get == l23)) && \n val l33 = box15.R7[Long].get\n (l33 == placeholder[Long](52)) || ((l33 == placeholder[Long](53)) && (box15.R8[Long].get <= l11 - l7))\n } else { placeholder[Boolean](54) }) || if (bool9 && (l13 != placeholder[Long](55))) { ((((((bool27 && (l16 == placeholder[Long](56))) && (box15.R4[Coll[Byte]].get == coll17)) && func26(placeholder[Int](57))) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](58))) && (box15.R8[Long].get == placeholder[Long](59))) && (box15.R9[Long].get == l23) } else { placeholder[Boolean](60) }) || if ((bool9 && (!bool28)) && (l13 == placeholder[Long](61))) { if (i29 > placeholder[Int](62)) { if (blake2b256(coll31) == coll10) { ((((((((((((bool27 && bool32) && (box15.R5[Coll[Long]].get(placeholder[Int](63)) == l21)) && (box15.R5[Coll[Long]].get(placeholder[Int](64)) == l22)) && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](65))) && (box15.R8[Long].get == placeholder[Long](66))) && (box15.R9[Long].get == l23)) && (l16 == placeholder[Long](67))) && (box30.tokens.size == placeholder[Int](68))) && (box30.tokens(placeholder[Int](69))._1 == placeholder[Coll[Byte]](70))) && (box15.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && (box15.R5[Coll[Long]].get(placeholder[Int](73)) <= placeholder[Long](74))) && \n val coll33 = box15.R5[Coll[Long]].get\n box30.tokens(placeholder[Int](75))._2 >= coll33(placeholder[Int](76)) + coll33(placeholder[Int](77)) - l19 + l20\n } else { placeholder[Boolean](78) } } else { placeholder[Boolean](79) } } else { placeholder[Boolean](80) }) || sigmaProp(\n (\n if (bool9 && (l13 == placeholder[Long](81))) {\n if (i29 > placeholder[Int](82)) {\n if (coll31 == coll14) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box30.value >= max(l24 * placeholder[Long](83) * l12 / placeholder[Long](84), placeholder[Long](85))) && (\n OUTPUTS(placeholder[Int](86)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](87)).value >= l24)\n ) && bool27\n ) && (l16 == placeholder[Long](88))\n ) && bool32\n ) && func26(placeholder[Int](89))\n ) && (box15.R7[Long].get == placeholder[Long](90))\n ) && (box15.R8[Long].get == placeholder[Long](91))\n ) && (box15.R9[Long].get == l23)\n } else { placeholder[Boolean](92) }\n } else { placeholder[Boolean](93) }\n } else { placeholder[Boolean](94) } || if ((bool9 && bool28) && (l13 == placeholder[Long](95))) {\n if (i29 >= placeholder[Int](96)) {\n if (blake2b256(OUTPUTS(placeholder[Int](97)).propositionBytes) == coll3(placeholder[Int](98))) {\n blake2b256(INPUTS(placeholder[Int](99)).propositionBytes) == coll3(placeholder[Int](100))\n } else { placeholder[Boolean](101) }\n } else { placeholder[Boolean](102) }\n } else { placeholder[Boolean](103) }\n ) || if ((bool9 && bool28) && (l13 == placeholder[Long](104))) {\n (\n (\n (\n ((bool32 && (box15.R6[SigmaProp].get == prop2)) && (box15.R7[Long].get == placeholder[Long](105))) && (box15.R8[Long].get == placeholder[Long](106))\n ) && (box15.R9[Long].get == l23)\n ) && (l16 == placeholder[Long](107))\n ) || (\n (\n (\n (((box30.R4[Coll[Byte]].get == coll17) && (box30.R6[SigmaProp].get == prop2)) && (box30.R7[Long].get == placeholder[Long](108))) && (\n box30.R8[Long].get == placeholder[Long](109)\n )\n ) && (box30.R9[Long].get == l23)\n ) && (box30.tokens(placeholder[Int](110))._2 == placeholder[Long](111))\n )\n } else { placeholder[Boolean](112) }\n )\n}",
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"assets": [
{
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"index": 0,
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"name": "BLOB",
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}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,0,0]"
},
"R6": {
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"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
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"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "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"
}
},
"spentTransactionId": "4acdf3bfe7263f609f6b02beca8456c502fc0fa68afe84f6bb10b1d53ca8af21",
"mainChain": true
},
{
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"transactionId": "adaec113939758c35e5e6e40bd9e53caae65c19a1c783d799cb7aaaee6b3f0dc",
"blockId": "89f8b3199df47104e3619a0aafd8c8109855f6a8975952a225b9a46329734142",
"value": 1250000,
"index": 1,
"globalIndex": 20874569,
"creationHeight": 827143,
"settlementHeight": 827146,
"ergoTree": "0008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))}",
"address": "9h8ujgHBKcCgJRbBrCY9rgfqLtjZyvsSEh2E4u1pQXuX8zNRo3y",
"assets": [],
"additionalRegisters": {},
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"mainChain": true
},
{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
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{
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"type": "EIP-004"
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{
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{
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"type": "EIP-004"
},
{
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"index": 3,
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"name": "HeyHo",
"decimals": 0,
"type": "EIP-004"
},
{
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},
{
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{
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"type": "EIP-004"
},
{
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],
"additionalRegisters": {},
"spentTransactionId": "4acdf3bfe7263f609f6b02beca8456c502fc0fa68afe84f6bb10b1d53ca8af21",
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},
{
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"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
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"mainChain": true
}
],
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}