Transaction
ID: 8cd01b6cd7...2c4c
Inputs (7)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
574
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
19.10
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
19.10
574
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 256,503
Total coins transferred: 0.014 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001259 ERG
Raw Transaction Data
{
"id": "8cd01b6cd7d8225d59fd7fd0361c13fbca7e2e2997aaeed08f168d99dbcd2c4c",
"blockId": "e544c80293cf46724e9881c678c1e820d67819c61dde71b619f994e2a15b9ba7",
"inclusionHeight": 1501948,
"timestamp": 1744467089754,
"index": 5,
"globalIndex": 8829220,
"numConfirmations": 256503,
"inputs": [
{
"boxId": "f458871ac7894fd0a391e776b18f29b7792cf903983cce2c971baeaf827a47ad",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "73dab551b290f90eddf4b670178ba06357f23617d06328ec6a5c28fee9f07639",
"outputTransactionId": "1273c01f58a3798b426822e4fda13087b50ba55d5e57ab3451448f4763130a8c",
"outputIndex": 1,
"outputGlobalIndex": 47318618,
"outputCreatedAt": 1501939,
"outputSettledAt": 1501941,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-17,-21,35,82,-114,52,-80,-40,20,56,112,-37,-3,-114,7,115,-120,-101,81,25,-90,-17,91,-39,98,32,30,-60,86,-36,-37,-81)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-88,-79,0,123,-113,-110,-123,68,31,-28,61,-96,99,121,49,51,-47,78,-9,105,78,16,-118,43,-123,-84,-93,-59,19,-118,-78,78)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 1000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20118342badfb3831436a9e67db0d80c0444068a07ca15174629d806c41bce5f44",
"sigmaType": "Coll[SByte]",
"renderedValue": "118342badfb3831436a9e67db0d80c0444068a07ca15174629d806c41bce5f44"
},
"R5": {
"serializedValue": "0e20e436c7301b8ea246e4f3149c93fffda358030cefcaa0dfc338205f11b08fed62",
"sigmaType": "Coll[SByte]",
"renderedValue": "e436c7301b8ea246e4f3149c93fffda358030cefcaa0dfc338205f11b08fed62"
},
"R6": {
"serializedValue": "0e2090a551c97484a65a07bf5ea233cbe4c5c2f9ba25d0cf81062ca82f765ec7e9b5",
"sigmaType": "Coll[SByte]",
"renderedValue": "90a551c97484a65a07bf5ea233cbe4c5c2f9ba25d0cf81062ca82f765ec7e9b5"
},
"R7": {
"serializedValue": "0e20955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3",
"sigmaType": "Coll[SByte]",
"renderedValue": "955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3"
}
}
},
{
"boxId": "d632e8b87615bd322253ffdb04da8bf61761604e8ebfc7ed6c3190d5af9b23e3",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "73dab551b290f90eddf4b670178ba06357f23617d06328ec6a5c28fee9f07639",
"outputTransactionId": "2ff722d728adf0a8a12db3c3b49b9135ea256b18908c1c578f3e7e3c5dcc650a",
"outputIndex": 1,
"outputGlobalIndex": 47318623,
"outputCreatedAt": 1501939,
"outputSettledAt": 1501941,
"ergoTree": "102404000e20efeb23528e34b0d8143870dbfd8e0773889b5119a6ef5bd962201ec456dcdbaf040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20a8b1007b8f9285441fe43da063793133d14ef7694e108a2b85aca3c5138ab24e04000e20ac7bbfff7ec3852afae13153a9a5b063ac26fc43a780aa3468cec8c9cdd176b304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-17,-21,35,82,-114,52,-80,-40,20,56,112,-37,-3,-114,7,115,-120,-101,81,25,-90,-17,91,-39,98,32,30,-60,86,-36,-37,-81)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-88,-79,0,123,-113,-110,-123,68,31,-28,61,-96,99,121,49,51,-47,78,-9,105,78,16,-118,43,-123,-84,-93,-59,19,-118,-78,78)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 1000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b",
"sigmaType": "Coll[SByte]",
"renderedValue": "3341b92af2552e7b094b4521eda522859842038f04f734aadd220fde62dc545b"
},
"R5": {
"serializedValue": "0e20e436c7301b8ea246e4f3149c93fffda358030cefcaa0dfc338205f11b08fed62",
"sigmaType": "Coll[SByte]",
"renderedValue": "e436c7301b8ea246e4f3149c93fffda358030cefcaa0dfc338205f11b08fed62"
},
"R6": {
"serializedValue": "0e207c559e539b06d38ff454c853ec6027a17481093c12f7529ac8f6aab5389b2826",
"sigmaType": "Coll[SByte]",
"renderedValue": "7c559e539b06d38ff454c853ec6027a17481093c12f7529ac8f6aab5389b2826"
},
"R7": {
"serializedValue": "0e20955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3",
"sigmaType": "Coll[SByte]",
"renderedValue": "955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3"
}
}
},
{
"boxId": "1b2e9277de2bbbdf4042ef19f5fbe29f6f038defc8e13ce38e9bad2363536606",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "73dab551b290f90eddf4b670178ba06357f23617d06328ec6a5c28fee9f07639",
"outputTransactionId": "64eb7356667daa86cb44651a262dd9edfa65abea32ba9c00b75e50cdae60f97d",
"outputIndex": 1,
"outputGlobalIndex": 47318628,
"outputCreatedAt": 1501939,
"outputSettledAt": 1501941,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-17,-21,35,82,-114,52,-80,-40,20,56,112,-37,-3,-114,7,115,-120,-101,81,25,-90,-17,91,-39,98,32,30,-60,86,-36,-37,-81)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-88,-79,0,123,-113,-110,-123,68,31,-28,61,-96,99,121,49,51,-47,78,-9,105,78,16,-118,43,-123,-84,-93,-59,19,-118,-78,78)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 1000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200c5f8b7e4703c7c7eb9cf0da01ea900b409eb328f1c1dd5af8af6ea7a027e3e6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0c5f8b7e4703c7c7eb9cf0da01ea900b409eb328f1c1dd5af8af6ea7a027e3e6"
},
"R5": {
"serializedValue": "0e20e436c7301b8ea246e4f3149c93fffda358030cefcaa0dfc338205f11b08fed62",
"sigmaType": "Coll[SByte]",
"renderedValue": "e436c7301b8ea246e4f3149c93fffda358030cefcaa0dfc338205f11b08fed62"
},
"R6": {
"serializedValue": "0e20557927ef11c3087246540e59fae4f6287eb167935a47d4da5db667639291284a",
"sigmaType": "Coll[SByte]",
"renderedValue": "557927ef11c3087246540e59fae4f6287eb167935a47d4da5db667639291284a"
},
"R7": {
"serializedValue": "0e20955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3",
"sigmaType": "Coll[SByte]",
"renderedValue": "955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3"
}
}
},
{
"boxId": "dbc46f249e177be599c031641ed5570b179c4d6dfa550ead4084dfcf1824cf5f",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "73dab551b290f90eddf4b670178ba06357f23617d06328ec6a5c28fee9f07639",
"outputTransactionId": "a1ec9f9b0945ab28b2a00675567b9b1eb56ae5dd634ff40c22c6fa26a06f98bb",
"outputIndex": 1,
"outputGlobalIndex": 47318633,
"outputCreatedAt": 1501939,
"outputSettledAt": 1501941,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-17,-21,35,82,-114,52,-80,-40,20,56,112,-37,-3,-114,7,115,-120,-101,81,25,-90,-17,91,-39,98,32,30,-60,86,-36,-37,-81)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-88,-79,0,123,-113,-110,-123,68,31,-28,61,-96,99,121,49,51,-47,78,-9,105,78,16,-118,43,-123,-84,-93,-59,19,-118,-78,78)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 1000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209e8b5e3f451fc9430fd2c05404e9b4180aa7b755302e723af0cafb15e6dcdceb",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e8b5e3f451fc9430fd2c05404e9b4180aa7b755302e723af0cafb15e6dcdceb"
},
"R5": {
"serializedValue": "0e20e436c7301b8ea246e4f3149c93fffda358030cefcaa0dfc338205f11b08fed62",
"sigmaType": "Coll[SByte]",
"renderedValue": "e436c7301b8ea246e4f3149c93fffda358030cefcaa0dfc338205f11b08fed62"
},
"R6": {
"serializedValue": "0e20cca1d7c26d41b016e0ef7b0964c3a53a3c44c94d6202d56284935ef324f7f0f4",
"sigmaType": "Coll[SByte]",
"renderedValue": "cca1d7c26d41b016e0ef7b0964c3a53a3c44c94d6202d56284935ef324f7f0f4"
},
"R7": {
"serializedValue": "0e20955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3",
"sigmaType": "Coll[SByte]",
"renderedValue": "955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3"
}
}
},
{
"boxId": "5d986203847bb26ea66282c618d4af3bfb5111c4adf49caeb68b2f54434b515a",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "556b631ca6f2e19388a2bacb51662511bf1b205627fffb9329225eecb773632e",
"outputTransactionId": "54e6e7dfab354b48d220a8afd997f95d2ec51dabf7c6399b3e6490d821a8105a",
"outputIndex": 1,
"outputGlobalIndex": 47318658,
"outputCreatedAt": 1501939,
"outputSettledAt": 1501942,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-17,-21,35,82,-114,52,-80,-40,20,56,112,-37,-3,-114,7,115,-120,-101,81,25,-90,-17,91,-39,98,32,30,-60,86,-36,-37,-81)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-88,-79,0,123,-113,-110,-123,68,31,-28,61,-96,99,121,49,51,-47,78,-9,105,78,16,-118,43,-123,-84,-93,-59,19,-118,-78,78)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYa5NY5B3KLGT2fE25S4AXgzuP7EMkx7FW4XCDBamKAq3PfeMkFr9WT6Yju4RYaMY3W4qjFkY5cBkBXhBwqmJzZwmAurpLEtBPW3usRZ3pNeKJejg9nDeKGKapHQPUK6eK8b4aZU3VUJ8aiVbZ3hYCpY5xxHnBMwaGqKhRwuRiqJn5jvzVfQmCjGMtwGnktcuzMz82EVL1UKkM4Fns4QMbHygtq6T76PU3iBWnA94YQJ2YjSmmx3Kvh22wHP9EYjT8pqGa7TVnADmKDaH4386FumwmvgtS3WkZZonWRGL2A5pZgbLffJJARBFAo8MjJRMoquWSL1GpSErTmTSJcv14wCmUmWhG3Ugb7Nmu543oeN8RC88TNFz43sX3isTLRphf7KaxMyYPeqX6uyFRaH1wEv36mZNU7JkyAEs2twaNFLMFRG7ySkeE7P3MwvBhve6KaKjbGcXbEEdDLUxH3TuYNsWQcx5z8NX8p3LAHVe6QMSGhzaKNbeYkLGksQgP67hDd1FSMp2ewZRG6kuMvRtALEdBxuGgwEjeJzcEx96Mw1Dgv5MvDSHEbtcUPFSmLvzp47PPK4Q2VD3J6FotQqEcwxgsvBgjgUCwETinehdvNdZuPH9KQPr15fk6URcqpSKX1s9HHmvxj8yCF9Q7ySs5oana1F6QjNewAxXHCqfDhSVftKoUoktvZVTxhQT8DiQtQEEdzFy2bvh1Ffp37V5WsaQdpVrca8UcpNh8sEaHSxMSerT6ycJW2etCtBwuMuQSzSz825S7p3SEaENUMEVfdAP2wBitGNH2FH9tw1kGZs11A8ajofYKS1TydKAZhEMrhAaicGBMMnzWt3YjF7ABaEeurMM94HvGRyamLts46TfYHfB9eGM91LqFv97BkYwmNEoVN2hWGa58CrQBaZDywUGHLYFX44o1Ec8K29aMwNv28bxh99oWQ6NLbFGvvzg36oQrb5AwNw2Zhb6wWHTYgHGK7N3dQd4BG5BRPdpUFsUb455BKRNjno7S3gnSCBTSrfSbAyz91C779cXcw29NzunSYKaJPywZnnr9eatpnwNdHsxNCGx9sSY5nrDr89KFr2B2qrRdQFg3J93N54xj9AsmYUruK6PCFLQJQ8pM7dq1Shvtr8iSrgqQFr1WRZNkgkEryuzBwmBkNWx4BSKdEryaY46Hiv9WhzinzFkMYdKBhK595uQYpMivXUtiq3TfmUQR3f4KzKgRNwxDq8da9XRYzmDVwcpLd8o8WFXnrb2wqnnbfYexgXAFArHGxYEo2kXo6aJsbQFQA",
"assets": [
{
"tokenId": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 1000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2098068413376abaefdc212a7721986ab7d450c1977a5e853f496302ea5b398fa7",
"sigmaType": "Coll[SByte]",
"renderedValue": "98068413376abaefdc212a7721986ab7d450c1977a5e853f496302ea5b398fa7"
},
"R5": {
"serializedValue": "0e20e436c7301b8ea246e4f3149c93fffda358030cefcaa0dfc338205f11b08fed62",
"sigmaType": "Coll[SByte]",
"renderedValue": "e436c7301b8ea246e4f3149c93fffda358030cefcaa0dfc338205f11b08fed62"
},
"R6": {
"serializedValue": "0e200e5854dc7a3c5435a396668dfb61ea99f389eb479cd8ce531744d10b0d925230",
"sigmaType": "Coll[SByte]",
"renderedValue": "0e5854dc7a3c5435a396668dfb61ea99f389eb479cd8ce531744d10b0d925230"
},
"R7": {
"serializedValue": "0e20955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3",
"sigmaType": "Coll[SByte]",
"renderedValue": "955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3"
}
}
},
{
"boxId": "518741f2596f140fb3aca402ab4e5d4ee5953dd4c34bf2669b366f44a22ae9cd",
"value": 2000000,
"index": 5,
"spendingProof": "257c0448712ef1f9d1208d13fcd013e0c695281880110292d028214134d822c18aa646a2ff7a349b558f8062a23d43b7593ec4e78c6ad08e",
"outputBlockId": "6c3a46309ace9616da46599eaa47712d18f77640487042a769196095564466c0",
"outputTransactionId": "f9b33b84a9e3719ec945160d472a970267f94bd7dbf0b7429c5972ec2d461cf0",
"outputIndex": 1,
"outputGlobalIndex": 45210454,
"outputCreatedAt": 1428512,
"outputSettledAt": 1428515,
"ergoTree": "0008cd03e098b659e0d91499c14f3420ffb25f6b950d77bc79b3fa80e82fd74e9bb83ff0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e098b6,631ab2,...)))}",
"address": "9iAii3NWAhqVNDiWvLbLAxsn6SuQLdZ5M1e3p1Ucdi6cEBGi8d7",
"assets": [
{
"tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
"index": 0,
"amount": 574000,
"name": "RSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "504c02621213e7a69882c41cd958c026840a0774335fb043b8ef349dfdc99b1e",
"value": 2000000,
"index": 6,
"spendingProof": "a0c917284ce8156e7b1e55a757b38995b770f633d6fa85b4a03b08d4e46222be3e8fd352ea1f1c65115fb413e27968ea0a201eb31760e331",
"outputBlockId": "c3290ef0c88f3d4013249b987901c75cb43d8c16f1e6bca07369385b39323545",
"outputTransactionId": "429e8daa843f16e30e87f793ff96db6dfbf16b4ed4a2ab942bc1ffe59b32c120",
"outputIndex": 3,
"outputGlobalIndex": 47310298,
"outputCreatedAt": 1501580,
"outputSettledAt": 1501583,
"ergoTree": "0008cd03e098b659e0d91499c14f3420ffb25f6b950d77bc79b3fa80e82fd74e9bb83ff0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e098b6,631ab2,...)))}",
"address": "9iAii3NWAhqVNDiWvLbLAxsn6SuQLdZ5M1e3p1Ucdi6cEBGi8d7",
"assets": [
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 0,
"amount": 19101,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "79033fa1651c85c527bc49fb4dfa00b46e3745e1b318b15e7d09513011ce4856",
"value": 1100000,
"index": 0,
"outputBlockId": "10c528e4df4101e1b1abe98ebf98390f452e2bd7e07fd1ba9c1634fd7d52f452",
"outputTransactionId": "cf5dc6aaecdb2215408315feaef8a35a2173d832a64f93bec87f8bae53831a07",
"outputIndex": 0,
"ergoTree": "100604000400040004000e20a2d7f41b79f98bcaef08214b9e6bf0f3b803e446a9ef5949da799739555165aa0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhBMkLFHpReSPj7knVLihVSxxh55yh3X39NhP6cKMVYZYf6cFuP7267DEtkrWxFSbYqfX6zj2qY57ZBCNkFEQnJVGxvyjXnNJ1Nrj5YiymeX2SAb66uYfHxZJQTv9R7S6PE4vvnUp5oC4LbGaC4bo8HkGCUzpvpSLm9qeSzwFXdznsJketE6n6HLGLqNXQ3KZXNaG8",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,1000]"
}
}
},
{
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"value": 1100000,
"index": 1,
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"outputTransactionId": "67e1e1b8584b3d73cc823adca2d97485f525bd472de47ca12ee2477779ad51da",
"outputIndex": 0,
"ergoTree": "1026040004000e20a8b1007b8f9285441fe43da063793133d14ef7694e108a2b85aca3c5138ab24e010104020402040604060404040404000404040204000e20955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac30502040604000400040a0502050604000e20abe839d0c874376d8317381ea98a0b9f21a6f3e0fdeb12aa69236ea43c48fbba04080400050004020101040004020404040204000402050205020400d805d601b2a5730000d602db63087201d603b27202730100d6048c720301d6057302959372047205d17303d812d606db6308a7d607b27206730400d6088c720702d609b27202730500d60a8c720902d60bb27206730600d60c8c720b02d60db27202730700d60e8c720d02d60fb27202730800d6108c720f02d611b27206730900d6128c721102d6138c720701d614b27206730a00d6158c721101d6168c720b01d6179683080193c27201c2a792c17201c1a79372048c721401938c7203028c721402938c7209017213938c720f017215938c720d01721693e4c67201040ee4c6a7040e95917208720ad805d618b2a5730b00d619b2a5730c00d61a997208720ad61bb2db63087218730d00d61c96830501721793721a9972107212938c721b02721a938c721b01721393cbc27218730e9593720e99720c730fd806d61dc5a7d61eb2db6308b2a5731000731100d61fb2db6501fe731200d620e4c6721f0411d621db63087219d622b27220731300d196830c0193e4c6720105059ae4c6a705057314721c93e4c67218040e721d938c721e01721d928c721e027315938cb2db6308721f73160001720593cbc27219731793e4c67219040e721d92c17219b2722073180093e4c672190505721a938cb2722173190001721695917222731ad801d623b27221731b0096830201938c7223017215928c7223027222731cd196830601721c93e4c67218040ee4c67219040e93720e720c93e4c672010505e4c6a70505938cb2db63087219731d00017216939ae4c6b2a4731e000505721ae4c672190505d804d618b2a4731f00d619b2a4732000d61a99720a7208d61be4c672190505d196830601721793e4c67218040ee4c67219040e938cb2db6308721873210001721393721a99721272109591721b721a9683030193720c720e93e4c672010505e4c6a705059399721b721ae4c6b2a573220005059683020193720e9a720c732393e4c67201050599e4c6a705057324938cb2db63087219732500017216",
"address": "NY4PEzZ7VfjubcLArFq3qwfTFsMrnnGtHHa6L5zLG188sCQGmD6jUsTXAtnFxJDKVCbxZK6GZpE48uyuAvuRdkNGgxLDrpSdz8A9qpCjtDRihMbtti4dfodHvakq3tCGE1DyWCCcA8YK1souA1r411yuCgrK2Zd284PmQxAQBQNzE7wMchwYVJst6aCZ6RJAVtFXuz4bGcPTrEL7TH6vcFmMUjASJuVSqcHhPWi9ygKNveJHVRkutPCaXYmW2mHtjbKCAzZFzyem44p373TAALFmPuhQWAwrW6d7JyQjG9pB5WRkyAtAyNBeu1NVkRFjyqiHpRzM8bV3MQKK52cqyUR18pbGHZxaQbZYDBMoso1kNbpw69ojfTM8bU94SrJJcWGZsM9GiBHNjTtAg6MJEUudrSQZq66yU89jwfY68DjMGgwbo8MDiL7tKqQoDcWiAtGMM2RZnvnPrGftheNVyn5PrGNd3i6NFR3QQMEmZwjopJYyXdGDN6ma8VGJRx42NpzE3xCUayjPrStzk6H81zUGXLuUvDL7JBfnmZpcDXJYEri4twyjq9uHLtsbBXaVSy1F88btVNBXxLTdEtSHYUHen52eY4Kivz8JgiHBdw9uMPBHEGY8vPKNgSWkoGYrV8feVKYtqyudrJazjuFaLC5rQBWrRhCKhjRjANezHqKhLQfZCYbnZ6v28SCvhZ4kZr98Pk6LFnHoxpjwGg6DkmRbbvFcfTuC7CAqEoFVXmseQw4BqaT2uekPSEeVhEjHmJs6AziAmNS7RiEf1wb145g2oBraSzreEt4zBiXczrgWAyzRt9jVucdj2GGKSUqiJFQ4Knx97EkKgm5bocJ92RoSoWWC7ngGb3uSAycARJsN1aYGyjmYsTFhj16fnPs5YZJLNwB3KmR9rCb9inQqHVtF2ovqjd3XvSGT18K9SksYXTZVVoSNpJKAppjoTZXkBaGjPXMD3cQVdV5K4E3hSjNFdXKnzeoRnzD3jUneASfQ75g2bif5gExhEZmKqBZZTiT2iy6pD1iroZBLnLGD9VnY1bGwzKXM3rYcbtQ6SNfLjL7eYo9okSbfkKbWCLjgahBybK62ZZkAKvGtJcEds3BbKgNs6tKJbwnENoDrBoBsWcihB3uLNfuqoGuANUFSGJhn63SvgSUrPrqnkMxFKMxNbYrcZD5pPP3FnVgYY7Sg7gp8i4UGLEDxwri3YV7kLDVYkidHkFqKw1dyYKtmwfZGwTmafM",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e08657468657265756d",
"sigmaType": "Coll[SByte]",
"renderedValue": "657468657265756d"
},
"R5": {
"serializedValue": "050a",
"sigmaType": "SLong",
"renderedValue": "5"
}
}
}
],
"outputs": [
{
"boxId": "9e9cc6ef4dd90062778aaa5c040dea4eba8b01e9a6439b604851eba28ee0dc58",
"transactionId": "8cd01b6cd7d8225d59fd7fd0361c13fbca7e2e2997aaeed08f168d99dbcd2c4c",
"blockId": "e544c80293cf46724e9881c678c1e820d67819c61dde71b619f994e2a15b9ba7",
"value": 10000000,
"index": 0,
"globalIndex": 47318735,
"creationHeight": 1501946,
"settlementHeight": 1501948,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(-44,-58,-15,-70,95,88,88,126,-60,-126,-96,-84,106,-67,76,-19,-119,47,120,-100,-128,-123,67,-4,-36,-39,113,-88,70,-78,66,-62)\n10: 1\n11: 0\n12: Coll(-40,-34,-115,55,67,125,13,-55,105,27,-33,40,-113,115,82,69,24,-3,118,123,44,66,72,118,-15,-63,22,-23,-39,-33,-65,107)\n13: 10\n14: Coll(9,-81,-23,48,20,-10,-106,10,-86,-61,7,28,-111,-102,-31,-125,0,-15,92,117,-92,109,-45,-78,47,-79,-8,-64,30,101,-9,91)",
"ergoTreeScript": "{\n val i1 = SELF.R7[Int].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n }).slice(placeholder[Int](3), i1)\n val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n val coll4 = blake2b256(coll3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n ), coll2.forall(\n {(box5: Box) =>\n ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n )\n }\n ), if (coll4 == placeholder[Coll[Byte]](9)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n )\n )\n } else {\n allOf(\n Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n )\n }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "45334f8a4bf7455e0275416c6eef214cfca3a78e9bdbad8fc7846847d10b0851",
"index": 0,
"amount": 5000,
"name": "RosenEthereumRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20dcd8690c0f7007ec7da74ec445538aac1cf40484350a448fadef2f390000713f",
"sigmaType": "Coll[SByte]",
"renderedValue": "dcd8690c0f7007ec7da74ec445538aac1cf40484350a448fadef2f390000713f"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307838656563366339663338363165636635353934393264346433373632636662623431316238666362623564656265353433373566383665353939353137663563,657468657265756d,63617264616e6f,307837623265623836376639366432656534623838326332636239646635343261386365616535303963,616464723171786b65756a7a393332336a7537736565763074757667726c673370327538797978656576776a7272756c3233346d786d346d6b786e686b706d397578363978636632797763726d32306e6e79727938686c616e79797a7a30636571367564633266,00000000001a4a0e,000000000000435a,00000000000035e2,307831623333393735346631666630396566393864656166366561316231633261383665336466343061,35376162653432663534393738346338386631346537383837323132376436326663306137626662656430616437643431653565623266622e373237303665343537353633366336393634,307831616465373435663930353732393834643064373037663866626533326634313736356234336135663036313733313530303961313865383130633033633963,0000000001538ebf]"
},
"R6": {
"serializedValue": "0e20955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3",
"sigmaType": "Coll[SByte]",
"renderedValue": "955b9ad8a834b9e9740934063a60bd3d069e3936b1fb5228288cd0436f0deac3"
},
"R7": {
"serializedValue": "040a",
"sigmaType": "SInt",
"renderedValue": "5"
}
},
"spentTransactionId": "0d1e8008a61c81246056e831fe9f40f64ec9b86c75e45b67be831e7617c2e77d",
"mainChain": true
},
{
"boxId": "6db9229765ec5abb2f4816798855fb84c2909db0ba849b5f847510a9d5f94c17",
"transactionId": "8cd01b6cd7d8225d59fd7fd0361c13fbca7e2e2997aaeed08f168d99dbcd2c4c",
"blockId": "e544c80293cf46724e9881c678c1e820d67819c61dde71b619f994e2a15b9ba7",
"value": 2000000,
"index": 1,
"globalIndex": 47318736,
"creationHeight": 1501946,
"settlementHeight": 1501948,
"ergoTree": "0008cd03e098b659e0d91499c14f3420ffb25f6b950d77bc79b3fa80e82fd74e9bb83ff0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e098b6,631ab2,...)))}",
"address": "9iAii3NWAhqVNDiWvLbLAxsn6SuQLdZ5M1e3p1Ucdi6cEBGi8d7",
"assets": [
{
"tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
"index": 0,
"amount": 574000,
"name": "RSN-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
"index": 1,
"amount": 19101,
"name": "eRSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "c367b1096f2757df3ac048fc41e73970110e2f9f822db708412388ba73e7b810",
"mainChain": true
},
{
"boxId": "0eef26a44e9cf5b58882b1f72607e636d3ee790390d71f05b74215894b55f40b",
"transactionId": "8cd01b6cd7d8225d59fd7fd0361c13fbca7e2e2997aaeed08f168d99dbcd2c4c",
"blockId": "e544c80293cf46724e9881c678c1e820d67819c61dde71b619f994e2a15b9ba7",
"value": 2000000,
"index": 2,
"globalIndex": 47318737,
"creationHeight": 1501946,
"settlementHeight": 1501948,
"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": "3fb520dc503297c91d9cf2a6de3c95603e678386192fce1f771cc2f293743f9c",
"mainChain": true
}
],
"size": 1589,
"isUnconfirmed": false
}