Transaction
ID: e7273be80a...1264
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
4
Spent
Address:
Output transaction:
Settlement height:
Value:
0.203 ERG
Tokens:
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.203 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 66,290
Total coins transferred: 0.206 ERG
Fees: 0.001 ERG
Fees per byte: 0.000001608 ERG
Raw Transaction Data
{
"id": "e7273be80a4fe03d7f05ee0aa12eb59ffe712a0a2f3bd19d2196eb2c63d11264",
"blockId": "64353f332d584f4734283ceb70133ae2735973e909fac93affe526a90b353749",
"inclusionHeight": 1707801,
"timestamp": 1769379414695,
"index": 4,
"globalIndex": 10200586,
"numConfirmations": 66290,
"inputs": [
{
"boxId": "92d7dd3c214bc7f0c2ab68c0a1da6236c033c05787fc1ba8805fe84203840fac",
"value": 3000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "0f9a04dad326effb35576b9558c0efc97d51d2c93347a09a8c2161022e72299e",
"outputTransactionId": "20eeb9e8dfd3e31168117b1d13960e6fd601ad3dc5ecf34c5de31a851fa1eb83",
"outputIndex": 0,
"outputGlobalIndex": 53186882,
"outputCreatedAt": 1707793,
"outputSettledAt": 1707794,
"ergoTree": "10040406040004000580897a9592b1a57300d801d601b2a5730100d1ededed93c27201e4c6a7050e92c17201e4c6a7040593db63087201dc0c1de4c6a7091a01e4c6a7081193e4c67201040ec5a7d801d601b2a5730200d1ededed93c27201e4c6a7050e92c1720199c1a7730393db63087201db6308a792a3e4c6a70604",
"ergoTreeConstants": "0: 3\n1: 0\n2: 0\n3: 1000000",
"ergoTreeScript": "{if (OUTPUTS.size >= placeholder[Int](0)) {(\n val box1 = OUTPUTS(placeholder[Int](1))\n sigmaProp(\n (\n ((box1.propositionBytes == SELF.R5[Coll[Byte]].get) && (box1.value >= SELF.R4[Long].get)) && (\n box1.tokens == SELF.R9[Coll[Coll[Byte]]].get.zip(SELF.R8[Coll[Long]].get)\n )\n ) && (box1.R4[Coll[Byte]].get == SELF.id)\n )\n)} else {(\n val box1 = OUTPUTS(placeholder[Int](2))\n sigmaProp(\n (((box1.propositionBytes == SELF.R5[Coll[Byte]].get) && (box1.value >= SELF.value - placeholder[Long](3))) && (box1.tokens == SELF.tokens)) && (\n HEIGHT >= SELF.R6[Int].get\n )\n )\n)}}",
"address": "TwyqbJtQAJCTiZsGAy9R1Uc2gwBWn66uNGyzAEMYtpYmRjm4DKFZcrkyQyNAao4U7E3tgoQ87RvECZm1vuGeTLFZvu98ThquQEBE2eR8C7SCGY4jKFt39hSZE3io2UL7FCadtMbAru3kNbmihaJEXsQtsYaSFzgPpNa5NLkr9Znxp79oji",
"assets": [
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 0,
"amount": 4000001,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "04debcd001",
"sigmaType": "SInt",
"renderedValue": "1707823"
},
"R8": {
"serializedValue": "1100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[]"
},
"R7": {
"serializedValue": "0e203727af9b2cae2ec916998b1671c3e1d27861712bbc5d3fc79f115ab317d212eb",
"sigmaType": "Coll[SByte]",
"renderedValue": "3727af9b2cae2ec916998b1671c3e1d27861712bbc5d3fc79f115ab317d212eb"
},
"R9": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R4": {
"serializedValue": "0580a3ccc101",
"sigmaType": "SLong",
"renderedValue": "203000000"
}
}
},
{
"boxId": "3727af9b2cae2ec916998b1671c3e1d27861712bbc5d3fc79f115ab317d212eb",
"value": 203000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "297aa78f1bcee2c14f204a5ac52eb51ce4b625601645b8a42561b37429bec765",
"outputTransactionId": "4c339d6ae39906c4d01449bc44bfe27f96ad2cf53796584a76d58f2a2446961a",
"outputIndex": 0,
"outputGlobalIndex": 53177350,
"outputCreatedAt": 1707478,
"outputSettledAt": 1707485,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(94,-60,-75,-117,-12,-43,74,-30,89,-45,56,5,-27,-50,-47,1,-36,45,-116,34,7,122,-42,124,87,47,124,-115,-31,11,-71,-30)\n3: 0\n4: 0\n5: 0\n6: CBigInt(10000000000000000)\n7: 0\n8: 0\n9: Coll(-57,-21,-109,80,114,30,-117,87,-99,56,22,-126,-104,-19,36,-44,-1,-97,86,-116,20,20,-111,-31,-85,111,-71,-38,51,85,127,81)\n10: 0\n11: 1\n12: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n13: 0\n14: 0\n15: 1\n16: 5\n17: 7\n18: 2\n19: 0\n20: 32\n21: 32\n22: 40\n23: 1000\n24: 6\n25: 0\n26: 0\n27: 0\n28: 0\n29: 0\n30: 1\n31: 0\n32: 0\n33: 0\n34: 1\n35: 3\n36: 0\n37: 8\n38: 0\n39: 8\n40: 0\n41: 1\n42: 10000000\n43: 1\n44: 1000000\n45: 1000\n46: 1000\n47: 1000000\n48: 10000000\n49: 5\n50: 1000000\n51: 10000000\n52: 100000000\n53: 100000000\n54: true\n55: 0\n56: 0\n57: 0\n58: 1000\n59: 1\n60: 1\n61: 980000\n62: 1000000\n63: CBigInt(1)\n64: 0\n65: 0\n66: 0\n67: 0\n68: -1\n69: 1\n70: 1\n71: 2000000\n72: 0\n73: 0\n74: 0\n75: true\n76: 0\n77: 1000000",
"ergoTreeScript": "{\n val coll1 = SELF.R7[Coll[Byte]].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == coll1)\n })\n val coll3 = SELF.propositionBytes\n val coll4 = placeholder[Coll[Byte]](2)\n val i5 = INPUTS.indexOf(SELF, placeholder[Int](3))\n val coll6 = SELF.R9[Coll[Long]].get\n val coll7 = SELF.tokens\n val tuple8 = coll7(placeholder[Int](4))\n val coll9 = tuple8._1\n val coll10 = SELF.R4[Coll[Byte]].get\n val ge11 = SELF.R5[GroupElement].get\n val l12 = SELF.R6[Long].get\n val coll13 = SELF.R8[Coll[Byte]].get\n val l14 = SELF.value\n val func15 = {(box15: Box) =>\n val coll17 = box15.propositionBytes\n val bool18 = coll17 == coll3\n bool18\n }\n val coll16 = OUTPUTS.filter(func15)\n val box17 = coll16.getOrElse(i5, SELF)\n val coll18 = box17.tokens\n val tuple19 = coll18(placeholder[Int](5))\n val l20 = tuple19._2\n val bi21 = placeholder[BigInt](6)\n val bi22 = CONTEXT.dataInputs.filter({(box22: Box) =>\n val coll24 = box22.tokens\n (coll24.size > placeholder[Int](7)) && (coll24(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9))\n })(placeholder[Int](10)).R5[BigInt].get\n val l23 = tuple8._2\n val bi24 = l23.toBigInt\n val coll25 = coll7.slice(placeholder[Int](11), coll7.size)\n val coll26 = placeholder[Coll[Byte]](12)\n val func27 = {(box27: Box) =>\n val coll29 = box27.propositionBytes\n val coll30 = blake2b256(coll29)\n val bool31 = coll30 == coll4\n bool31\n }\n val coll28 = OUTPUTS.filter(func27)\n val box29 = coll28.getOrElse(i5, SELF)\n val coll30 = box29.tokens\n val tuple31 = coll30(placeholder[Int](13))\n val l32 = coll6(placeholder[Int](14))\n val i33 = INPUTS.filter({(box33: Box) => box33.propositionBytes == coll3 }).size\n val bool34 = i33 == placeholder[Int](15)\n val l35 = HEIGHT.toLong\n val l36 = coll6(placeholder[Int](16)) + coll6(placeholder[Int](17))\n val l37 = coll6(placeholder[Int](18))\n val coll38 = coll13.slice(placeholder[Int](19), placeholder[Int](20))\n val coll39 = coll13.slice(placeholder[Int](21), placeholder[Int](22))\n val bi40 = bi24 * bi22 / bi21\n val bi41 = if (l35 < l36) {(\n val i41 = placeholder[Int](23)\n bi40 * coll6(placeholder[Int](24)).toBigInt + i41.toBigInt / i41.toBigInt\n )} else { bi40 }\n val box42 = coll28.getOrElse(placeholder[Int](25), SELF)\n val coll43 = box42.tokens\n val tuple44 = coll43(placeholder[Int](26))\n val func45 = {(box45: Box) =>\n val coll47 = box45.propositionBytes\n val coll48 = blake2b256(coll47)\n val bool49 = coll48 == coll4\n bool49\n }\n val coll46 = OUTPUTS.filter(func45)\n val box47 = coll46.getOrElse(placeholder[Int](27), SELF)\n val coll48 = box47.tokens\n val tuple49 = coll48(placeholder[Int](28))\n if (coll2.size > placeholder[Int](29)) {(\n val func50 = func15\n val coll51 = coll16\n val i52 = coll51.size\n val func53 = func27\n val coll54 = coll28\n val box55 = coll2.getOrElse(i5, SELF)\n val l56 = box55.R4[Coll[Long]].get(placeholder[Int](30))\n if (i52 > placeholder[Int](31)) {(\n val box57 = box17\n val bool58 = OUTPUTS.map({(box58: Box) => box58.id }).indexOf(box57.id, placeholder[Int](32)) == box55.R9[Coll[Int]].get(\n placeholder[Int](33)\n ) - placeholder[Int](34)\n val l59 = box57.value\n val coll60 = coll18\n val tuple61 = tuple19\n val coll62 = box57.R4[Coll[Byte]].get\n val ge63 = box57.R5[GroupElement].get\n val coll64 = box57.R7[Coll[Byte]].get\n val bool65 = ((((l59 >= coll6(placeholder[Int](35))) && (tuple61._1 == coll9)) && (coll62 == coll10)) && (ge63 == ge11)) && (coll64 == coll1)\n val coll66 = box57.R8[Coll[Byte]].get\n val l67 = box57.R6[Long].get\n val coll68 = box57.R9[Coll[Long]].get\n val bool69 = coll68.slice(placeholder[Int](36), placeholder[Int](37)) == coll6.slice(placeholder[Int](38), placeholder[Int](39))\n if (coll54.size > placeholder[Int](40)) {(\n val bi70 = l20.toBigInt\n val box71 = box29\n val coll72 = coll30\n val tuple73 = coll72(placeholder[Int](41))\n val tuple74 = tuple31\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool65 && bool58) && (coll13 == coll66)) && (l59 >= l14)) && (l59 <= l14 + placeholder[Long](42))) && (\n bi70 >= bi24 - tuple73._2.toBigInt * bi21 / bi22\n )\n ) && (coll60.slice(placeholder[Int](43), coll60.size) == coll25)\n ) && (l67 == l12)\n ) && bool69\n ) && (((box71.value >= placeholder[Long](44)) && (tuple74._1 == coll9)) && (tuple73._1 == coll26))\n ) && (tuple74._2 == l23 - l20)\n ) && (l56.toBigInt >= bi70 * bi22 / bi21 * l32.toBigInt / placeholder[Int](45).toBigInt)\n ) && bool34\n ) && (l35 >= l36)\n )\n )} else {(\n val bi70 = l56.toBigInt\n val bi71 = l20.toBigInt * bi22 / bi21 * l32.toBigInt / placeholder[Int](46).toBigInt\n val prop72 = proveDlog(ge11)\n sigmaProp(\n (\n (\n (\n (\n (\n ((((bool65 && bool58) && (coll13 == coll66)) && (l59 >= l14 - placeholder[Long](47))) && (l59 <= l14 + placeholder[Long](48))) && (\n coll60 == coll7\n )\n ) && (l67 > l35 + l37)\n ) && (l67 < l35 + l37 + placeholder[Long](49))\n ) && (bi70 < bi71)\n ) && bool69\n ) && bool34\n ) || sigmaProp(\n (\n (\n (\n (\n (\n ((((bool65 && bool58) && (coll13 == coll66)) && (l59 >= l14 - placeholder[Long](50))) && (l59 <= l14 + placeholder[Long](51))) && (\n coll60 == coll7\n )\n ) && (l12 != placeholder[Long](52))\n ) && (l67 == placeholder[Long](53))\n ) && (bi70 >= bi71)\n ) && bool69\n ) && bool34\n ) || sigmaProp(placeholder[Boolean](54)) || prop72 && sigmaProp(l59 != l14) || sigmaProp(INPUTS.filter({(box73: Box) =>\n val coll75 = box73.tokens\n ((coll75.size > placeholder[Int](55)) && (coll75(placeholder[Int](56))._1 == coll38)) && (box73.R9[Coll[Coll[Byte]]].get(i5) == coll39)\n }).size > placeholder[Int](57)) || prop72 && sigmaProp(\n ((((((bool65 && (l59 == l14)) && (coll60 == coll7)) && (coll62 == coll10)) && (ge63 == ge11)) && (coll64 == coll1)) && (coll68 == coll6)) && (\n i33 == i52\n )\n )\n )}\n )} else {(\n val bi57 = l56.toBigInt\n val i58 = placeholder[Int](58)\n val box59 = box42\n val coll60 = coll43\n val tuple61 = tuple44\n val tuple62 = coll60(placeholder[Int](59))\n val coll63 = SELF.id\n val bi64 = bi57 - bi41\n val bi65 = coll6(placeholder[Int](60)).toBigInt\n val bi66 = bi64 * i58.toBigInt - bi65 / i58.toBigInt\n val l67 = tuple62._2\n sigmaProp(\n (\n (\n (\n (\n (((bi57 <= bi41 * l32.toBigInt / i58.toBigInt) && (l35 >= l12)) || (l35 > SELF.creationInfo._1.toLong + placeholder[Long](61))) && (\n (((box59.value >= placeholder[Long](62)) && (tuple61._1 == coll9)) && (tuple62._1 == coll26)) && (box59.id != coll63)\n )\n ) && (tuple61._2 == l23)\n ) && if (bi66 < placeholder[BigInt](63)) { l67.toBigInt >= bi57 } else {(\n val box68 = OUTPUTS.filter({(box68: Box) => box68.propositionBytes == coll10 }).getOrElse(placeholder[Int](64), SELF)\n val tuple69 = box68.tokens(placeholder[Int](65))\n (((l67.toBigInt >= bi41 + bi64 * bi65 / i58.toBigInt) && (tuple69._2.toBigInt >= bi66)) && (tuple69._1 == coll26)) && (box68.id != coll63)\n )}\n ) && (\n INPUTS.map({(box68: Box) => box68.id }).indexOf(coll63, placeholder[Int](66)) == box55.R9[Coll[Int]].get(placeholder[Int](67)) * placeholder[Int](\n 68\n ) - placeholder[Int](69)\n )\n ) && bool34\n )\n )}\n )} else {(\n val func50 = func45\n val coll51 = coll46\n val box52 = box47\n val coll53 = coll48\n val tuple54 = tuple49\n val tuple55 = coll53(placeholder[Int](70))\n sigmaProp(\n (\n (\n (((((box52.value >= placeholder[Long](71)) && (tuple54._1 == coll9)) && (tuple55._1 == coll26)) && (box52.id != SELF.id)) && (tuple54._2 == l23)) && (\n tuple55._2.toBigInt > bi41\n )\n ) && if (INPUTS.filter({(box56: Box) =>\n val coll58 = box56.tokens\n ((coll58.size > placeholder[Int](72)) && (coll58(placeholder[Int](73))._1 == coll38)) && (box56.R9[Coll[Byte]].get == coll39)\n }).size > placeholder[Int](74)) { placeholder[Boolean](75) } else {(\n val box56 = OUTPUTS.filter({(box56: Box) => box56.propositionBytes == coll10 }).getOrElse(placeholder[Int](76), SELF)\n ((box56.value >= l14 - placeholder[Long](77)) && (box56.tokens == coll25)) && (box56.id != SELF.id)\n )}\n ) && bool34\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8e5d948b742235dd57a0b61ab77d7455e9178045f336bb1c358eccbe8a693183",
"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R8": {
"serializedValue": "0e28cf74f4e1447e0626d93a3c81a0f46e72ac65c38878c1114419ad6862755ab61d019bf515a67bb7f8",
"sigmaType": "Coll[SByte]",
"renderedValue": "cf74f4e1447e0626d93a3c81a0f46e72ac65c38878c1114419ad6862755ab61d019bf515a67bb7f8"
},
"R7": {
"serializedValue": "0e208138efa43399227cdee9cdd012cd753ad8ee322f1d88aec40f216568463fc27f",
"sigmaType": "Coll[SByte]",
"renderedValue": "8138efa43399227cdee9cdd012cd753ad8ee322f1d88aec40f216568463fc27f"
},
"R9": {
"serializedValue": "1108b6163c108087a70e008cb7d001641e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1435,30,8,15000000,0,1707462,50,15]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
}
],
"dataInputs": [
{
"boxId": "6e32541e069ae85a4fdf3a67cc6282b8708244c95ce9882922f1de8ed96c11ae",
"value": 1000000,
"index": 0,
"outputBlockId": "d0d35381eb5fe99e81a69ecbf1a6716158208aeae04f7bbd701d0d7375810b57",
"outputTransactionId": "663361ea1a94e56d99288b799641379161982a76338f4b90b7a3b849d29e9035",
"outputIndex": 0,
"ergoTree": "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",
"address": "zxFnr6XrdtpugAYXqkLFbKFM3xDFvBb634noBhaqkcqcrbTwJEwVvHhCFAYhvt1wJzEPSRr4mXzmRC4g1bCuS1WHTt7FL2PLik4V6sDWtQT962ooDE7LxVCRVMA1ZKbfgmtjbt6jCzp6iSTE4sgCXjrc9vJuQKpsEkRTdayf93X2KCNrq7xYMS72xxAC9BLGyE26QeB91pCx89q7s3HkmvX3Q6KmwdJ7SS2CGEm7rjL9GtceWLwoBkGyGhNdfJTKEC9iyiWpwwURbq62soFKYqdo4NS3SuQUXM921MUPzctudzjPt3cLdvWeETMTtxodMS7E6WrwHHwj1LqpFTnXWgBVCUAfb9xn75bqPmcAF6et5azeAH86stgqQsf3EkbBS8xQm9wMessF9oozsJVMz6Ma3KSZwfLAu7jHgFNmb8K3Lfm5Ee59mQ4mzzYkwNfP6ueSAS9dRwHbP2SWrTvZPwmu8YsmecMzFqxtuwwA2q1a3e1C9WZKknbZW283PgwGxJYeN1KSKXdJEzV9b9wtVEKTLG7o3dg5nwKZJRuvd7BZKkS6o7RKhiZYMDzb2UY469ZQXQmAD6JuT6YuR8DinDBsj2vp91F932waDjY6Q6BgskLmhADs5VrLZPk3U7rgsAbhBNkCUUafiS7wipXX7QR6JExLNvYa3MGmDtYxB64uCbPPNgbBoBg6SYkPoRs7mHkGEG4HWbrNP4KwZAY8ip4QEGjNmQC",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05e2b6d001",
"sigmaType": "SLong",
"renderedValue": "1707441"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
}
],
"outputs": [
{
"boxId": "b653fb5dfed07dcd0c8fdade820a7a9ed207288c7aabf6d89ce96cf10bc21715",
"transactionId": "e7273be80a4fe03d7f05ee0aa12eb59ffe712a0a2f3bd19d2196eb2c63d11264",
"blockId": "64353f332d584f4734283ceb70133ae2735973e909fac93affe526a90b353749",
"value": 203000000,
"index": 0,
"globalIndex": 53187160,
"creationHeight": 1707799,
"settlementHeight": 1707801,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2092d7dd3c214bc7f0c2ab68c0a1da6236c033c05787fc1ba8805fe84203840fac",
"sigmaType": "Coll[SByte]",
"renderedValue": "92d7dd3c214bc7f0c2ab68c0a1da6236c033c05787fc1ba8805fe84203840fac"
}
},
"spentTransactionId": "4627fd5087c9dffedbe5ad236f2ef39a484c5d0c20f0e6bece47c8360bd0e6a2",
"mainChain": true
},
{
"boxId": "6984206c35b9891ead485e99747219f23fe061b0df1da5a3595f46fa5b0ab346",
"transactionId": "e7273be80a4fe03d7f05ee0aa12eb59ffe712a0a2f3bd19d2196eb2c63d11264",
"blockId": "64353f332d584f4734283ceb70133ae2735973e909fac93affe526a90b353749",
"value": 2000000,
"index": 1,
"globalIndex": 53187161,
"creationHeight": 1707799,
"settlementHeight": 1707801,
"ergoTree": "100f04000e20127a2cca78f1f4b4a909df020ff4558b2061b58a94d62b73991ac4d6ab6320c1040004020406040004000580897a0406058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d808d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d606db6308a7d607b27206730300d608b27205730400d1ededededed938cb27202730500017203938cb272057306000172039299c17201c1720499c1a77307ed938c720702998cb27202730800028c720802938c7207018c72080193999973098cb27205730a000299730b8cb27202730c00028cb27206730d000293b2a4730e00a7",
"ergoTreeConstants": "0: 0\n1: Coll(18,122,44,-54,120,-15,-12,-76,-87,9,-33,2,15,-12,85,-117,32,97,-75,-118,-108,-42,43,115,-103,26,-60,-42,-85,99,32,-63)\n2: 0\n3: 1\n4: 3\n5: 0\n6: 0\n7: 1000000\n8: 3\n9: 9000000000000000\n10: 2\n11: 9000000000000000\n12: 2\n13: 0\n14: 1",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = placeholder[Coll[Byte]](1)\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = box4.tokens\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val tuple8 = coll5(placeholder[Int](4))\n sigmaProp(\n (\n (\n (\n ((coll2(placeholder[Int](5))._1 == coll3) && (coll5(placeholder[Int](6))._1 == coll3)) && (\n box1.value - box4.value >= SELF.value - placeholder[Long](7)\n )\n ) && ((tuple7._2 == coll2(placeholder[Int](8))._2 - tuple8._2) && (tuple7._1 == tuple8._1))\n ) && (placeholder[Long](9) - coll5(placeholder[Int](10))._2 - placeholder[Long](11) - coll2(placeholder[Int](12))._2 == coll6(placeholder[Int](13))._2)\n ) && (INPUTS(placeholder[Int](14)) == SELF)\n )\n}",
"address": "r5zW3yf58bRZ5pSfmQr3RZnW41tfEhxrikNvRzobVMF69PGwK1A52i3MY5UWnxWtxVjSj2JtdDPZhQ7iGZxiq5JDBPduetMoYcPhad8pntkW1vpQEpqBRw3NNH1LsxkK3Yt4E5GuHpkL7TXhsvQko29qzhsZTzPuT4vo8t1tYoQyTeUyVTJVbT7PwBRCEKYoh7dThfw1Mo2iy8Hj5UxpSUeP4brX4bicw6BN2PgmkKMonqNP4NnuVwgdxTtGAG1aEfJS8N6rzhB5XYy8k28feEyfKYaCNYaALZngkvsSgPxubTWudS5v2tnfHZ3Y1Qd49aZLAW5taXMDKiW1aNz",
"assets": [
{
"tokenId": "8e5d948b742235dd57a0b61ab77d7455e9178045f336bb1c358eccbe8a693183",
"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 1,
"amount": 4000001,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "4c14436d3e97e729edb3a17123683eb9297abd4b8892aff373c8d5d8185d7017",
"mainChain": true
},
{
"boxId": "93c9477a7bdfdc5d8d8ba0ec8353091a4ba0bb2998b8deb7cc9ed75331226260",
"transactionId": "e7273be80a4fe03d7f05ee0aa12eb59ffe712a0a2f3bd19d2196eb2c63d11264",
"blockId": "64353f332d584f4734283ceb70133ae2735973e909fac93affe526a90b353749",
"value": 1000000,
"index": 2,
"globalIndex": 53187162,
"creationHeight": 1707799,
"settlementHeight": 1707801,
"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": "57422311708d4a01f6be9e05d882a57bacaca0b20e3986f8ba6246dbd79dc6ed",
"mainChain": true
}
],
"size": 622,
"isUnconfirmed": false
}