Transaction
ID: 485fd5e8e7...42c6
Inputs (10)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
1.7 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0099 ERG
Tokens:
90
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.7 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 636,620
Total coins transferred: 1.71 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000657 ERG
Raw Transaction Data
{
"id": "485fd5e8e79a4f5e8a31788ace09969772acf75a856b3580d35043ce8ebc42c6",
"blockId": "ac06f96ed449af6422b49b727673495d59a19730bf298c1acdfbd43908dda0b5",
"inclusionHeight": 1139996,
"timestamp": 1700645802068,
"index": 9,
"globalIndex": 6156098,
"numConfirmations": 636620,
"inputs": [
{
"boxId": "6abec6e12c24db314b95a2a07ecb1ced6d4a093b4ab6722d5c01d460a703cd56",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "e1d12d585f4ed3df997face91c5e0e955296154ef03952aa0cb95cdc04662518",
"outputTransactionId": "57e53e2ae5903f6cb167bc38279e7215e5e6ac7c4f785573534241c8db1b5f68",
"outputIndex": 1,
"outputGlobalIndex": 34473981,
"outputCreatedAt": 1139983,
"outputSettledAt": 1139987,
"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": "1a01206cd3e0aee75b946a179db3148c2ab43446b3abd6b10ec82b6c17c7fcdd4bd3a7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6cd3e0aee75b946a179db3148c2ab43446b3abd6b10ec82b6c17c7fcdd4bd3a7]"
},
"R5": {
"serializedValue": "1a01201d91f38206bc45abd3e74d2c0db4908316ae72f22dd8b0fab3eab320635e21c6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1d91f38206bc45abd3e74d2c0db4908316ae72f22dd8b0fab3eab320635e21c6]"
},
"R6": {
"serializedValue": "0e20413126f46a560329e6d3b6c919f04e403081295bfe5b1b145934d9584b78d31e",
"sigmaType": "Coll[SByte]",
"renderedValue": "413126f46a560329e6d3b6c919f04e403081295bfe5b1b145934d9584b78d31e"
},
"R7": {
"serializedValue": "0e20a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849",
"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
}
}
},
{
"boxId": "b90ff63fadc91951b5826ab2f68493a713f36b41783724ba0e9dd3c364162cc0",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "e1d12d585f4ed3df997face91c5e0e955296154ef03952aa0cb95cdc04662518",
"outputTransactionId": "450f92e9e5ba4e18608ca104748787ab4eb976efd7d080f0396d52f4d7989d5c",
"outputIndex": 1,
"outputGlobalIndex": 34474058,
"outputCreatedAt": 1139984,
"outputSettledAt": 1139987,
"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": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[620af66be09e0cb5948e2666154979935e10b15f2faff1c9a89a1f7a35dedb5d]"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1d91f38206bc45abd3e74d2c0db4908316ae72f22dd8b0fab3eab320635e21c6]"
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"sigmaType": "Coll[SByte]",
"renderedValue": "d14554bf40f183a29d4299eb74994e8d5769bd9d0718e63bf004c73ace8b49a6"
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
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{
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"index": 2,
"spendingProof": null,
"outputBlockId": "e1d12d585f4ed3df997face91c5e0e955296154ef03952aa0cb95cdc04662518",
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"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}",
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"assets": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"serializedValue": "1a0120b93488e537f0597ff58be00fff65f290459fbf7917840c589746d96f5f1c1f6d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b93488e537f0597ff58be00fff65f290459fbf7917840c589746d96f5f1c1f6d]"
},
"R5": {
"serializedValue": "1a01201d91f38206bc45abd3e74d2c0db4908316ae72f22dd8b0fab3eab320635e21c6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1d91f38206bc45abd3e74d2c0db4908316ae72f22dd8b0fab3eab320635e21c6]"
},
"R6": {
"serializedValue": "0e20eb1d956f60b0c58d46bc242acf1ba918ece533091865fff402eec663b0bfcfdc",
"sigmaType": "Coll[SByte]",
"renderedValue": "eb1d956f60b0c58d46bc242acf1ba918ece533091865fff402eec663b0bfcfdc"
},
"R7": {
"serializedValue": "0e20a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849",
"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
}
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{
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"value": 1100000,
"index": 3,
"spendingProof": null,
"outputBlockId": "e1d12d585f4ed3df997face91c5e0e955296154ef03952aa0cb95cdc04662518",
"outputTransactionId": "def38873bad41e585960020f9d6c2f73e74aae2a8d7a01264b82dc9a2a0a429c",
"outputIndex": 1,
"outputGlobalIndex": 34474078,
"outputCreatedAt": 1139984,
"outputSettledAt": 1139987,
"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}",
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"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c]"
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"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1d91f38206bc45abd3e74d2c0db4908316ae72f22dd8b0fab3eab320635e21c6]"
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"sigmaType": "Coll[SByte]",
"renderedValue": "3759261b852689d6a1ba881f6f5d0a0449d175539b32f007a1811498890d89b1"
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
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"index": 4,
"spendingProof": null,
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"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}",
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"assets": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[818f8212780151192d7398599368acac539525e32e5f73cf47644090d98a8bb9]"
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"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1d91f38206bc45abd3e74d2c0db4908316ae72f22dd8b0fab3eab320635e21c6]"
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"R6": {
"serializedValue": "0e2033a1b87304d31685627d1422ce7932ffda09a4540ea2d50fd3b4af4dbf595935",
"sigmaType": "Coll[SByte]",
"renderedValue": "33a1b87304d31685627d1422ce7932ffda09a4540ea2d50fd3b4af4dbf595935"
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
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{
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"value": 1100000,
"index": 5,
"spendingProof": null,
"outputBlockId": "e1d12d585f4ed3df997face91c5e0e955296154ef03952aa0cb95cdc04662518",
"outputTransactionId": "276f8f37403265ca01b170fe71235135ea8b97313cece362b36f0402dc9e9809",
"outputIndex": 1,
"outputGlobalIndex": 34474086,
"outputCreatedAt": 1139984,
"outputSettledAt": 1139987,
"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}",
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"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[08301e5c818abc014ecf2b674fea5f8121a13c11e19dfd6d5e4114fd6e33dc22]"
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"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1d91f38206bc45abd3e74d2c0db4908316ae72f22dd8b0fab3eab320635e21c6]"
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
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{
"boxId": "353ac7f4a331ddd3480dc8dde61e1b4f5a65ce4f27d9d7b69c65a369c116dce9",
"value": 1100000,
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"spendingProof": null,
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"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}",
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"index": 0,
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"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
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"sigmaType": "Coll[Coll[SByte]]",
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"R5": {
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"R6": {
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"sigmaType": "Coll[SByte]",
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"R7": {
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"sigmaType": "Coll[SByte]",
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"index": 7,
"spendingProof": null,
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"outputTransactionId": "e169d05aa1d031cd9367198a63e5be312cd633d1ee010b5bca40f313ce8e8d38",
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"outputGlobalIndex": 34474094,
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"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}",
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{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
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"index": 8,
"spendingProof": null,
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"outputCreatedAt": 1139984,
"outputSettledAt": 1139988,
"ergoTree": "101f04000e20f28a05677bce5adf234c00e423cab1acdd1d3f23610a82e8bc0a5f658eda8aa80400020004020400040004000400040004000400040604040402050205c8010400040004000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e30402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"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": "1a012087c369e9cba6a1875f41e9cf58e0ddd67907d31ccb4592714c41a2e9a0616fcb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[87c369e9cba6a1875f41e9cf58e0ddd67907d31ccb4592714c41a2e9a0616fcb]"
},
"R5": {
"serializedValue": "1a01201d91f38206bc45abd3e74d2c0db4908316ae72f22dd8b0fab3eab320635e21c6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1d91f38206bc45abd3e74d2c0db4908316ae72f22dd8b0fab3eab320635e21c6]"
},
"R6": {
"serializedValue": "0e20784eeba9ce92daa868f8bc8a7c5135dd38d328c4c6c10531b6ed101127942a5f",
"sigmaType": "Coll[SByte]",
"renderedValue": "784eeba9ce92daa868f8bc8a7c5135dd38d328c4c6c10531b6ed101127942a5f"
},
"R7": {
"serializedValue": "0e20a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849",
"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
}
}
},
{
"boxId": "e4113fddc949800c58fc5ad0b95fdb998c038829e95b3ccce4a6867311deace2",
"value": 1699640000,
"index": 9,
"spendingProof": "f48a8dc5dbd228184ed40ab5dd926ac455b1133e99cdad9cc3c480f50846a90b39d1b6d663e9cd2e244df668fb207b3de669b2cd6c88746a",
"outputBlockId": "ac06f96ed449af6422b49b727673495d59a19730bf298c1acdfbd43908dda0b5",
"outputTransactionId": "e484227a4fc073be9dd309656d330c1a8085d89ae1bbeb10e30564c356665a7b",
"outputIndex": 1,
"outputGlobalIndex": 34474278,
"outputCreatedAt": 1139994,
"outputSettledAt": 1139996,
"ergoTree": "0008cd03019c95e931b44d66e6d870d120988214c85cd329a7c20a33d56c1ca4aae5f1e6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19c95e,47ae87,...)))}",
"address": "9gUWrnaB7dG9CvLhv9A7CYSySmWkrjzWzjBeejzF6cPHF5hVU4W",
"assets": [
{
"tokenId": "8ec26fb45dc1bef88e05a9ddb37399c97dedf9395a1415e4aa54618ffbcf853d",
"index": 0,
"amount": 1,
"name": "WID-F5hVU4W",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "2db393f1a886baf8c881d039a19e6d293587444ae87f8da1be9e123fedf21e1a",
"value": 1100000,
"index": 0,
"outputBlockId": "9f8a4f4430978213d02d061849e0d344ec1e0cdb672c3e48d35717443bbf3a23",
"outputTransactionId": "39e6487f84bc58123c9b308946e97cad34b09b5e6d81e083cb5bbe7dd210ccb4",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0b0763617264616e6f2008301e5c818abc014ecf2b674fea5f8121a13c11e19dfd6d5e4114fd6e33dc22208ec26fb45dc1bef88e05a9ddb37399c97dedf9395a1415e4aa54618ffbcf853d2087c369e9cba6a1875f41e9cf58e0ddd67907d31ccb4592714c41a2e9a0616fcb209619de151da8f361043383a8ed1b4793d275d5de01c4c20a82e7f30305ffde7020818f8212780151192d7398599368acac539525e32e5f73cf47644090d98a8bb9206a8162f121d36bfe4204870885979014ce0d1a644f965398b1a53333b934dd52206cd3e0aee75b946a179db3148c2ab43446b3abd6b10ec82b6c17c7fcdd4bd3a720b93488e537f0597ff58be00fff65f290459fbf7917840c589746d96f5f1c1f6d20620af66be09e0cb5948e2666154979935e10b15f2faff1c9a89a1f7a35dedb5d20e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,08301e5c818abc014ecf2b674fea5f8121a13c11e19dfd6d5e4114fd6e33dc22,8ec26fb45dc1bef88e05a9ddb37399c97dedf9395a1415e4aa54618ffbcf853d,87c369e9cba6a1875f41e9cf58e0ddd67907d31ccb4592714c41a2e9a0616fcb,9619de151da8f361043383a8ed1b4793d275d5de01c4c20a82e7f30305ffde70,818f8212780151192d7398599368acac539525e32e5f73cf47644090d98a8bb9,6a8162f121d36bfe4204870885979014ce0d1a644f965398b1a53333b934dd52,6cd3e0aee75b946a179db3148c2ab43446b3abd6b10ec82b6c17c7fcdd4bd3a7,b93488e537f0597ff58be00fff65f290459fbf7917840c589746d96f5f1c1f6d,620af66be09e0cb5948e2666154979935e10b15f2faff1c9a89a1f7a35dedb5d,e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c]"
},
"R5": {
"serializedValue": "110b0080897a80897a80897a80897a80897a80897a80897a80897a80897a80897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1000000,1000000,1000000,1000000,1000000,1000000,1000000,1000000,1000000,1000000]"
},
"R6": {
"serializedValue": "1106a09c018c0102288084af5f80d0acf30e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000,70,1,20,100000000,2000000000]"
}
}
}
],
"outputs": [
{
"boxId": "4c13e0a61db117780b68f6df497f0f85d989d411f6acd07ab5920a8fc666171e",
"transactionId": "485fd5e8e79a4f5e8a31788ace09969772acf75a856b3580d35043ce8ebc42c6",
"blockId": "ac06f96ed449af6422b49b727673495d59a19730bf298c1acdfbd43908dda0b5",
"value": 9900000,
"index": 0,
"globalIndex": 34474280,
"creationHeight": 1139994,
"settlementHeight": 1139996,
"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": "[6cd3e0aee75b946a179db3148c2ab43446b3abd6b10ec82b6c17c7fcdd4bd3a7,620af66be09e0cb5948e2666154979935e10b15f2faff1c9a89a1f7a35dedb5d,b93488e537f0597ff58be00fff65f290459fbf7917840c589746d96f5f1c1f6d,e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c,818f8212780151192d7398599368acac539525e32e5f73cf47644090d98a8bb9,08301e5c818abc014ecf2b674fea5f8121a13c11e19dfd6d5e4114fd6e33dc22,6a8162f121d36bfe4204870885979014ce0d1a644f965398b1a53333b934dd52,8ec26fb45dc1bef88e05a9ddb37399c97dedf9395a1415e4aa54618ffbcf853d,87c369e9cba6a1875f41e9cf58e0ddd67907d31ccb4592714c41a2e9a0616fcb]"
},
"R5": {
"serializedValue": "1a0c40616234626264323437343938393137373161646336326235626263336636646531373736356134653835656262626132366531613436663236343164633866350763617264616e6f046572676f4061646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a72743833396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463080000000120f848b0080000000076255eac080000000000973a132c6173736574313932786d6a796a7578707764776735656d6b766466776671373937356832727377646b796879036572674063666563396535623565363663396362303731633034363366373339316536333164386334396238623532333631373037653037393932623437636363643839080000000000922a95",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[61623462626432343734393839313737316164633632623562626333663664653137373635613465383565626262613236653161343666323634316463386635,63617264616e6f,6572676f,61646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463,0000000120f848b0,0000000076255eac,0000000000973a13,6173736574313932786d6a796a7578707764776735656d6b766466776671373937356832727377646b796879,657267,63666563396535623565363663396362303731633034363366373339316536333164386334396238623532333631373037653037393932623437636363643839,0000000000922a95]"
},
"R6": {
"serializedValue": "0e20a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849",
"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
}
},
"spentTransactionId": "8ec6fc1e8985e366fae0f5cffb273a7facd9daff71e234812d6558a16aaf3302",
"mainChain": true
},
{
"boxId": "b64e9a0bd7c2bd6f2a3cc1ab2a1ec2683eed1cfd91ce5169f7f607233a9de6a7",
"transactionId": "485fd5e8e79a4f5e8a31788ace09969772acf75a856b3580d35043ce8ebc42c6",
"blockId": "ac06f96ed449af6422b49b727673495d59a19730bf298c1acdfbd43908dda0b5",
"value": 1698540000,
"index": 1,
"globalIndex": 34474281,
"creationHeight": 1139994,
"settlementHeight": 1139996,
"ergoTree": "0008cd03019c95e931b44d66e6d870d120988214c85cd329a7c20a33d56c1ca4aae5f1e6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19c95e,47ae87,...)))}",
"address": "9gUWrnaB7dG9CvLhv9A7CYSySmWkrjzWzjBeejzF6cPHF5hVU4W",
"assets": [
{
"tokenId": "8ec26fb45dc1bef88e05a9ddb37399c97dedf9395a1415e4aa54618ffbcf853d",
"index": 0,
"amount": 1,
"name": "WID-F5hVU4W",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "d7dbed756069ef478a4c3659a82a5007ad2aaa6c0f52049ab8dfd6aed841124c",
"mainChain": true
},
{
"boxId": "424117cc6bafa39e09645577820f245dbacc01c0e8ae12816c46ab2e43edb0c0",
"transactionId": "485fd5e8e79a4f5e8a31788ace09969772acf75a856b3580d35043ce8ebc42c6",
"blockId": "ac06f96ed449af6422b49b727673495d59a19730bf298c1acdfbd43908dda0b5",
"value": 1100000,
"index": 2,
"globalIndex": 34474282,
"creationHeight": 1139994,
"settlementHeight": 1139996,
"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": "4e4badb64b22ec6c4375e999d8daeb80b402ce8d30cc373e5283c75e7f24cfb1",
"mainChain": true
}
],
"size": 1675,
"isUnconfirmed": false
}