Transaction
ID: 12670ba415...83af
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0099 ERG
Tokens:
90
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
4.32 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
7.64 ERG
Tokens:
5,376
Outputs (16)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.98 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
12
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.010210803 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.28 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
7.69 ERG
Tokens:
5,356
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 627,585
Total coins transferred: 11.98 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000164 ERG
Raw Transaction Data
{
"id": "12670ba415ae14ebb73c73b386db19e2eac148bb9e1a67799919aa4d652f83af",
"blockId": "e09a22fa0ba0a7c38c0d6834d8665c37c6ea71b958551e9eaa3badb0df99b346",
"inclusionHeight": 1132467,
"timestamp": 1699728416864,
"index": 2,
"globalIndex": 6103505,
"numConfirmations": 627585,
"inputs": [
{
"boxId": "2bc9d6490547b1a6ed4dfd1ec446a746b871b868aea9c8131500a4b303300179",
"value": 9900000,
"index": 0,
"spendingProof": null,
"outputBlockId": "23ebaba7053e4474fdcd1f63741701bfc0aeb9bc817cddda13192b1114581d95",
"outputTransactionId": "0e84cbd1968e40d5780e482df210da35e742f562682db0c6904dc444aae038bf",
"outputIndex": 0,
"outputGlobalIndex": 34181130,
"outputCreatedAt": 1132226,
"outputSettledAt": 1132228,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: Coll(119,37,56,-14,72,-36,-110,31,16,-83,-118,110,-49,88,-119,-34,-71,-125,29,24,97,6,14,-110,102,59,-27,-67,-53,-95,124,-19)\n7: 1\n8: 0\n9: Coll(12,-95,-45,30,-109,-76,47,-98,68,-27,41,14,52,17,-86,-94,-70,103,-86,-63,88,-27,121,22,-26,69,97,45,17,7,41,-11)\n10: 7200\n11: Coll(-59,-96,41,-11,-109,-95,6,-31,89,77,-38,30,84,53,-82,68,-77,71,-6,77,-33,-113,-96,60,-51,5,122,-4,40,-73,-35,56)",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Coll[Byte]]].get\n val i2 = coll1.size\n val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n val coll5 = blake2b256(coll4)\n sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n val box8 = tuple6._2\n (((Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)) && (box8.tokens(placeholder[Int](2))._1 == SELF.tokens(placeholder[Int](3))._1)) && (box8.tokens(placeholder[Int](4))._2 == SELF.tokens(placeholder[Int](5))._2 / i2.toLong)\n }), if (coll5 == placeholder[Coll[Byte]](6)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9), HEIGHT - placeholder[Int](10) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](11) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "BRNzuPCshtnBeoxCJ8iQiVb78U7vRX6K6qwuSDauDzTF5ARRi7EqxFxHJwyEspfFcA8fdNUV7gzv9T7v6Dt8KBHZxXrb3rLvX7s45oYovhe8GRs98ZBk2UNNRrRcssVErfbEhQypJpUARoniQo3uUBksqczE4v1ks5ycVwgAj2HoHQEDfbTAsJA7iLZ72GAUZHGjLrdHtgNm9ZHoN6u7f3d7qwFMpRQYxEPNfZFXwXjmH6LnP4RatYCLRaRnq8THR8mQRvmrcm7nXiUKFhAypqHRc4Pp8vod2FAZuEo7v2C9paky93rqhEBSKmDF6NBbkdVUqc3gXypYQA4Y3oKvEiMRtXXRPf7RtNiqWrWZTNYztRaNAwnz46mBkTfvYDnQPirpcj2Q5nVRSM2BJ1NxFu4eviCUTsh4aBGM4ArMQ1v6WcD9BERV6x3UC3g7LAhtbb",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 90000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[297bdfa26dd931697bef0974c16a6c902fabbb046c6c41126343497063b8fcd7,04104ca65210944ece25ea829aec72791909b14ec6483fe7c59b9f73d5377ba6,d06eda167aac54d48448a191145b4c21199677b707ab649c511baeac5b428faa,c647afe0f3af3097b800c5273ccbbde409fb4e9373133233cbd697e218b4b26e,4cfeb2cd329f85ca5e15a61d4a427c753ef379b42a3aa158ab35c7108e1bbcad,f4ed87281fb31714a0ad0e210ab8dcd8995992623803a79617f78f60863985e3,88e680af41112773b0d0861e5ec0b843a5deaf098ba896bd8cd57978a767013b,8d88d645428d27bf2a5bb0fb60bb1071fb1bcf4c57eb728b0a2dbd5d312666e9,524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952]"
},
"R5": {
"serializedValue": "1a0c40316538613761393336326133396238636131366263653335643738383830666239333438613939376235316264323433613262383066323334346333643061340763617264616e6f046572676f4061646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a72743833396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a7044630800000000fe8583ac080000000076255eac080000000000973a132c6173736574313932786d6a796a7578707764776735656d6b766466776671373937356832727377646b79687903657267403030376566366565393536323161653433396162623563623461373163616466363139663239643663383066316239643932376531376536633831653566613708000000000091752d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[31653861376139333632613339623863613136626365333564373838383066623933343861393937623531626432343361326238306632333434633364306134,63617264616e6f,6572676f,61646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463,00000000fe8583ac,0000000076255eac,0000000000973a13,6173736574313932786d6a796a7578707764776735656d6b766466776671373937356832727377646b796879,657267,30303765663665653935363231616534333961626235636234613731636164663631396632396436633830663162396439323765313765366338316535666137,000000000091752d]"
},
"R6": {
"serializedValue": "0e20b453fbebc0be9dc0b034dd61a09e3720507250f3b2100d10ab9ae6d15f796650",
"sigmaType": "Coll[SByte]",
"renderedValue": "b453fbebc0be9dc0b034dd61a09e3720507250f3b2100d10ab9ae6d15f796650"
}
}
},
{
"boxId": "04785f224f561686fbce2589755f1e2e739943cea7fa6cad1176c7604fcaf6f3",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "8a643655aa41fc7141145eab6d38e30bb04c17dce5036cba3d44b00fe02aa1c8",
"outputTransactionId": "d855ec60b29c663e5211e7e38f93f43258441bbabe447cf979c53ea764ce55a8",
"outputIndex": 1,
"outputGlobalIndex": 34181092,
"outputCreatedAt": 1132224,
"outputSettledAt": 1132227,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-14,-118,5,103,123,-50,90,-33,35,76,0,-28,35,-54,-79,-84,-35,29,63,35,97,10,-126,-24,-68,10,95,101,-114,-38,-118,-88)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120db5f79130edd367e8bdafbc739e753366082005e5f5a30bd75bc79d85fb198f7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[db5f79130edd367e8bdafbc739e753366082005e5f5a30bd75bc79d85fb198f7]"
},
"R5": {
"serializedValue": "1a0120b14f62dc060544c30309e8c74196182d527bc6c5f82c0e133bc91a70682011e5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b14f62dc060544c30309e8c74196182d527bc6c5f82c0e133bc91a70682011e5]"
},
"R6": {
"serializedValue": "0e202bcc5e0efd09681145206e3a77ed0c091c94366591a64013c4c66ce952e8bb3d",
"sigmaType": "Coll[SByte]",
"renderedValue": "2bcc5e0efd09681145206e3a77ed0c091c94366591a64013c4c66ce952e8bb3d"
},
"R7": {
"serializedValue": "0e20b453fbebc0be9dc0b034dd61a09e3720507250f3b2100d10ab9ae6d15f796650",
"sigmaType": "Coll[SByte]",
"renderedValue": "b453fbebc0be9dc0b034dd61a09e3720507250f3b2100d10ab9ae6d15f796650"
}
}
},
{
"boxId": "6cdb9fb53a2f66c0005928b33c5a03d9d29f661fa76bdcbd443e1acafe7e244d",
"value": 4323436971,
"index": 2,
"spendingProof": "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",
"outputBlockId": "1be1454b48f2307336dc2bdc89831ea396cfbe9c0180dbeb2b39a25f5943fd82",
"outputTransactionId": "3562832c11f3acef4613892d5449a682f26503710cff18d87425e75a3d2706a5",
"outputIndex": 0,
"outputGlobalIndex": 34175683,
"outputCreatedAt": 1132134,
"outputSettledAt": 1132136,
"ergoTree": "100304000e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d0400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(100,-114,-100,-16,-77,-107,96,-35,51,69,75,-72,-27,-59,-27,-65,72,-15,46,22,29,-57,-61,17,45,-114,-33,-37,22,6,-60,13)\n2: 0",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
"address": "nB3L2PD3JTNGWZVRVuTYLEyHwoSe4EC4zP5Wd7x1f29FimSmwmUPsaR5duxgoZ8bZdyBBpHkEHaAhPMxgaGL2KhQEezsTCdayAoWYX6mLEXDM1hGfv5ZrEq5PWA4aPCcbiefyVyrZGFA5",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a050763617264616e6f6761646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438787333656e633533663461716b733776356735743235346675326e38737a3277736c6132393361093639333735363139350a3139383231363035353633396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,61646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438787333656e633533663461716b733776356735743235346675326e38737a3277736c6132393361,363933373536313935,31393832313630353536,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463]"
}
}
},
{
"boxId": "9aa0278a4075c112d6d7e3848a9ae6a36d77f42ac45f145d38eb715ef88ca262",
"value": 7641566498,
"index": 3,
"spendingProof": "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",
"outputBlockId": "c6702b5ae41d19b5e514d3c6558581a6c9b76853e1df8f996ea750e65cb3d5ef",
"outputTransactionId": "d87ef65b368a93dd23c534d1ff26341db6e54ece7cb2c5171f486c6621c6c066",
"outputIndex": 12,
"outputGlobalIndex": 34011247,
"outputCreatedAt": 1127442,
"outputSettledAt": 1127446,
"ergoTree": "100304000e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d0400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(100,-114,-100,-16,-77,-107,96,-35,51,69,75,-72,-27,-59,-27,-65,72,-15,46,22,29,-57,-61,17,45,-114,-33,-37,22,6,-60,13)\n2: 0",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
"address": "nB3L2PD3JTNGWZVRVuTYLEyHwoSe4EC4zP5Wd7x1f29FimSmwmUPsaR5duxgoZ8bZdyBBpHkEHaAhPMxgaGL2KhQEezsTCdayAoWYX6mLEXDM1hGfv5ZrEq5PWA4aPCcbiefyVyrZGFA5",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 5376000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "9648f1fb5f93204d0f4e258c848a4cc893202c862f374278cf10770fcaf28cac",
"value": 1100000,
"index": 0,
"outputBlockId": "21d034007d73c966f37b73908d9e59face45b3a3b6c3cc4508196ea642ea4b70",
"outputTransactionId": "d9dd9b37d31ff6d3e2e8dfc0f38034135efa34f4a74b3bf7a21c1371d7bc2a67",
"outputIndex": 0,
"ergoTree": "100804000400040004000400040004020402d802d601b2db6308b2a5730000730100d602b2db6308a7730200ea02d19683030193b1b5a4d9010363d801d605db63087203ed91b172057303938cb27205730400018cb2db6308a7730500017306938c7201018c720201938c7201028c72020298b2e4c6a70510730700ade4c6a7041ad901030ecdee7203",
"address": "3FBpC6dt4xNpexUbLSZDR4YbuMWwLyKDUjbnHPCQf6VpUfqqLGzQ6P6uKkfoF1Eudh9YSU9uTEwYYJ3J8hDERT2mhM6wvCciz4HvZPLMUtdjeg5mCtJMyi6Wy2wTeQQ6UxyuwKCNGxU669QN1HNz7MF5JMg1xy84cEFVcTCcU2rKqiYpHNotatUq6uP6K3fAraF",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0329c11a8c915014f7f538f9af5005bda5c92c01045fa2fe204a566f465c85ca42,0210b79b76d47d2f7bed850b2632b31b0a36b1f41d578ab323a315f177201c42de,022c2e132c2d3065d904830122d5dcc9ad3435f58392647d8886cb76ca6bedfe30,0224def9adbb89ec4963c256f48ab594cd7ea4efe465cdaf1a96bd004a2af81062,02bbcccfad6962e01d94d2155e58798bd5d452a7be3573c644b2c75efdfe30f347,02c12daa0e0290c493012758031af979d222440c66636751a3e50b6118ab70404d,03b0a147903e493896822e99ddd7f4ab64792a3e0c7f064e8292e6add1f3c6117e,03372fe8c849c66847dfcaee0263bdd9f212bd1e27b2b6388789ad283c93cc6c86,0242f6c85295030adc35e014ac85447ab29c771bf1c80f23c2ff465356b412d565,0367a8b3ccc55d368ff2601c41c1dfb642254399d7d2e3f8aae4ea440b0e7f0050]"
},
"R5": {
"serializedValue": "10020e10",
"sigmaType": "Coll[SInt]",
"renderedValue": "[7,8]"
}
}
}
],
"outputs": [
{
"boxId": "b7e9f901b1bcb573578bef0d463c32977a4183aa0f1eb038c8b44b2c6749d28a",
"transactionId": "12670ba415ae14ebb73c73b386db19e2eac148bb9e1a67799919aa4d652f83af",
"blockId": "e09a22fa0ba0a7c38c0d6834d8665c37c6ea71b958551e9eaa3badb0df99b346",
"value": 1100000,
"index": 0,
"globalIndex": 34187838,
"creationHeight": 1132462,
"settlementHeight": 1132467,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
"address": "2H6MZUZjzGqbP3HcRcAJWEYYj1Up7kZkJJVVZ6c5AKBrbNbNfJBEFfW9BPhCDUoxSxTFikyd24ARmQfQhiCGK7PpRScJcqwRBpmrSbivpxATJYsJX8KrrzyrVg1nAdioWjeRkUTQaH4vv5sKwQEq14XA1yhwqJ48ytpncnX7SzgGuahwsrVvDowR3HhEbra8cLojGwTwZbC7NyRb7HYVnLQTR7kDH6nyVkdm6oFaRrUrYVL3XgZwUJZSXyKz4qcvqXBKwJfx6A4gixvbH9gDWByFni57SziSswjvmNEt99rW5sgi1pNXdL9iwVRk9qY5ju2rqVGXCokCfrZLGFmKvVm19TajTLUn3ijEuLC53vijsGok4eYVtcX1rMA2dzv8gttioRgJwzyX8WqdYmLxEpH8beEHjGSSqtFQsGLZmH1EQ9wWcsXkKnUMcHGVr8PePswX1tWuHhxh4pJZgPGJ7yh1HKtwsKBjsRQPM5LDt4phec4eNDzPXdDnSbjiVKxuTVy3WKai1QfayB3Ue7CuDkwxHsfDznyQXqa7GCDgA7psi9BtxztM3k4Z7eyGiVDLhc34EshGPqL6kfpLvqootodWoVbvURfqCx2vQeMZ2ZdxAY6eS6vjKt1Th89WQ7RS75tb75fHQfoPRd",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 800,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120297bdfa26dd931697bef0974c16a6c902fabbb046c6c41126343497063b8fcd7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[297bdfa26dd931697bef0974c16a6c902fabbb046c6c41126343497063b8fcd7]"
}
},
"spentTransactionId": "56f28faf9ec060d8214aa0fcebf1db79f2a11e5eee12dcaa5d122819a3a829fe",
"mainChain": true
},
{
"boxId": "d6483240b32c39150f576c73ba84743cd723c79a17db413db812d58f609795db",
"transactionId": "12670ba415ae14ebb73c73b386db19e2eac148bb9e1a67799919aa4d652f83af",
"blockId": "e09a22fa0ba0a7c38c0d6834d8665c37c6ea71b958551e9eaa3badb0df99b346",
"value": 1100000,
"index": 1,
"globalIndex": 34187839,
"creationHeight": 1132462,
"settlementHeight": 1132467,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 800,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012004104ca65210944ece25ea829aec72791909b14ec6483fe7c59b9f73d5377ba6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[04104ca65210944ece25ea829aec72791909b14ec6483fe7c59b9f73d5377ba6]"
}
},
"spentTransactionId": "322c3a7be150363f359d97e5f1dd62b536be82cbde48f6195d2346b220fdadb4",
"mainChain": true
},
{
"boxId": "80546a4d998fd7839f890c1edaa2edee2ad7e17280e61cd0e2e336d44da017f2",
"transactionId": "12670ba415ae14ebb73c73b386db19e2eac148bb9e1a67799919aa4d652f83af",
"blockId": "e09a22fa0ba0a7c38c0d6834d8665c37c6ea71b958551e9eaa3badb0df99b346",
"value": 1100000,
"index": 2,
"globalIndex": 34187840,
"creationHeight": 1132462,
"settlementHeight": 1132467,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 800,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d06eda167aac54d48448a191145b4c21199677b707ab649c511baeac5b428faa",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d06eda167aac54d48448a191145b4c21199677b707ab649c511baeac5b428faa]"
}
},
"spentTransactionId": "4b5c43d18d331977693d0b9169abd503d3b2f5786eea98a47e80072205b8ad1e",
"mainChain": true
},
{
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"blockId": "e09a22fa0ba0a7c38c0d6834d8665c37c6ea71b958551e9eaa3badb0df99b346",
"value": 1100000,
"index": 3,
"globalIndex": 34187841,
"creationHeight": 1132462,
"settlementHeight": 1132467,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 800,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120c647afe0f3af3097b800c5273ccbbde409fb4e9373133233cbd697e218b4b26e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c647afe0f3af3097b800c5273ccbbde409fb4e9373133233cbd697e218b4b26e]"
}
},
"spentTransactionId": "b31425811432900fc6ea07c2a0f8b1f5707bd16294bb9d4292fe75231a632dda",
"mainChain": true
},
{
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"blockId": "e09a22fa0ba0a7c38c0d6834d8665c37c6ea71b958551e9eaa3badb0df99b346",
"value": 1100000,
"index": 4,
"globalIndex": 34187842,
"creationHeight": 1132462,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 800,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01204cfeb2cd329f85ca5e15a61d4a427c753ef379b42a3aa158ab35c7108e1bbcad",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[4cfeb2cd329f85ca5e15a61d4a427c753ef379b42a3aa158ab35c7108e1bbcad]"
}
},
"spentTransactionId": "b34cd00955525d0ddcabf219ad15473de1e87b16cbd6a4a0c995b8e7e3f8143f",
"mainChain": true
},
{
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"transactionId": "12670ba415ae14ebb73c73b386db19e2eac148bb9e1a67799919aa4d652f83af",
"blockId": "e09a22fa0ba0a7c38c0d6834d8665c37c6ea71b958551e9eaa3badb0df99b346",
"value": 1100000,
"index": 5,
"globalIndex": 34187843,
"creationHeight": 1132462,
"settlementHeight": 1132467,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
"address": "2H6MZUZjzGqbP3HcRcAJWEYYj1Up7kZkJJVVZ6c5AKBrbNbNfJBEFfW9BPhCDUoxSxTFikyd24ARmQfQhiCGK7PpRScJcqwRBpmrSbivpxATJYsJX8KrrzyrVg1nAdioWjeRkUTQaH4vv5sKwQEq14XA1yhwqJ48ytpncnX7SzgGuahwsrVvDowR3HhEbra8cLojGwTwZbC7NyRb7HYVnLQTR7kDH6nyVkdm6oFaRrUrYVL3XgZwUJZSXyKz4qcvqXBKwJfx6A4gixvbH9gDWByFni57SziSswjvmNEt99rW5sgi1pNXdL9iwVRk9qY5ju2rqVGXCokCfrZLGFmKvVm19TajTLUn3ijEuLC53vijsGok4eYVtcX1rMA2dzv8gttioRgJwzyX8WqdYmLxEpH8beEHjGSSqtFQsGLZmH1EQ9wWcsXkKnUMcHGVr8PePswX1tWuHhxh4pJZgPGJ7yh1HKtwsKBjsRQPM5LDt4phec4eNDzPXdDnSbjiVKxuTVy3WKai1QfayB3Ue7CuDkwxHsfDznyQXqa7GCDgA7psi9BtxztM3k4Z7eyGiVDLhc34EshGPqL6kfpLvqootodWoVbvURfqCx2vQeMZ2ZdxAY6eS6vjKt1Th89WQ7RS75tb75fHQfoPRd",
"assets": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 800,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f4ed87281fb31714a0ad0e210ab8dcd8995992623803a79617f78f60863985e3",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f4ed87281fb31714a0ad0e210ab8dcd8995992623803a79617f78f60863985e3]"
}
},
"spentTransactionId": "246cb188a3053d3b6c63ecc40c2958a60fee52f9e52a429181c2fcf58cd9bf83",
"mainChain": true
},
{
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"value": 1100000,
"index": 6,
"globalIndex": 34187844,
"creationHeight": 1132462,
"settlementHeight": 1132467,
"ergoTree": "10150400040004000404040004020e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e304040400040004020400010104000400040005000e20f6ebb4f4e3afacd9e665faacece987a12a3d1f7990717543997239f9f744a1ee040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63938cb2db6308720b730e00017204d9010b638cb2db6308720b730f00027310d9010b599a8c720b018c720b028c720202938c720901720493cbc272077311e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573120073130001b27206731400",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 800,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012088e680af41112773b0d0861e5ec0b843a5deaf098ba896bd8cd57978a767013b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[88e680af41112773b0d0861e5ec0b843a5deaf098ba896bd8cd57978a767013b]"
}
},
"spentTransactionId": "18a5e1c53f78a04574dacd0e0e1ce6f4cb9df374774091c261189a379e3bb052",
"mainChain": true
},
{
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"value": 1100000,
"index": 7,
"globalIndex": 34187845,
"creationHeight": 1132462,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 800,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208d88d645428d27bf2a5bb0fb60bb1071fb1bcf4c57eb728b0a2dbd5d312666e9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8d88d645428d27bf2a5bb0fb60bb1071fb1bcf4c57eb728b0a2dbd5d312666e9]"
}
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"spentTransactionId": "b3d11d30fa340b91c79380a79a919a0e17536b1c813ef199d8f245bf517f29ed",
"mainChain": true
},
{
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"index": 8,
"globalIndex": 34187846,
"creationHeight": 1132462,
"settlementHeight": 1132467,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
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"index": 0,
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"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
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"index": 1,
"amount": 800,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[524f7e57a82c154836227085aea85f095f52cee1de0db49295a8830716076952]"
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"spentTransactionId": "a7a65332908b2b525714c0247b424b734290c56d654d50006e87618a2f04c29d",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n18: 2\n19: 0\n20: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) => box11.tokens(placeholder[Int](14))._1 == coll4 }).map(\n {(box11: Box) => box11.tokens(placeholder[Int](15))._2 }\n ).fold(placeholder[Long](16), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(\n box7.propositionBytes\n ) == placeholder[Coll[Byte]](17), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(\n coll10\n ), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(\n placeholder[Int](18)\n ).tokens(placeholder[Int](19))._1 == coll6(placeholder[Int](20))\n )\n )\n )\n )}\n}",
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"assets": [
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"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
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"amount": 800,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
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"serializedValue": "1a0120db5f79130edd367e8bdafbc739e753366082005e5f5a30bd75bc79d85fb198f7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[db5f79130edd367e8bdafbc739e753366082005e5f5a30bd75bc79d85fb198f7]"
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"mainChain": true
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"index": 10,
"globalIndex": 34187848,
"creationHeight": 1132462,
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"ergoTree": "0008cd0283729b7d284e528aceac69706af1221fbb345cd78e85e984c9bc8af23cdf3589",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(83729b,96d228,...)))}",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
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"creationHeight": 1132462,
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b5d6ac,d5b778,...)))}",
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}
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4e4e18,4c59d4,...)))}",
"address": "9f7YiJRETT14PzywFSWyHwzFstMhcpqAozVffewuQ4Mus6X7AFU",
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},
{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e5f5f6,a26aed,...)))}",
"address": "9iD5jMoLjK9azTdigyT8z1QY6qHrA6gVrJamMF8MJ2qt45pJpDc",
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},
{
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"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
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{
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"index": 0,
"amount": 5356000,
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"decimals": 3,
"type": "EIP-004"
}
],
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"mainChain": true
},
{
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"creationHeight": 1132462,
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"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
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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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"spentTransactionId": "1883be6fb6fb2a50421b78c4fde1198936641758e80db0ea003eb94af8c1526a",
"mainChain": true
}
],
"size": 6714,
"isUnconfirmed": false
}