Transaction
ID: 73c54de01b...3938
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Tokens:
11
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.084 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 379,747
Total coins transferred: 0.1011 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000767 ERG
Raw Transaction Data
{
"id": "73c54de01bdec2ed25a068735f5468590aac8ce1b1e78e457f575f03a01a3938",
"blockId": "531ae6b87c60126096fb883d4ab95844e0d70ae31926427bec38fe43466448ab",
"inclusionHeight": 1389816,
"timestamp": 1730897140824,
"index": 2,
"globalIndex": 8006816,
"numConfirmations": 379747,
"inputs": [
{
"boxId": "77ceb05d4a8adb83b8fc29f497e1907215fe58000b602d60e0ceb53252853d82",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "9185f58212f4cba6118b84a27422cd3f61d4c05553bffe3c27178cbd6d391097",
"outputTransactionId": "bd32f05cae9bfef041b597c5396de72b068815df6ea49cf611b791215506c049",
"outputIndex": 4,
"outputGlobalIndex": 43478457,
"outputCreatedAt": 1382765,
"outputSettledAt": 1382767,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(109,-128,110,-39,-74,-47,-58,-63,85,8,98,-72,-80,-120,79,13,86,69,-18,-105,-53,-12,124,-62,53,-15,-123,51,27,18,28,-124)\n3: true\n4: 1\n5: 1\n6: 3\n7: 3\n8: 2\n9: 2\n10: 0\n11: 2\n12: 1\n13: 0\n14: Coll(15,-113,91,-109,59,-17,8,-76,-82,43,65,85,4,95,-59,10,62,-80,-118,53,-61,10,-89,111,5,55,120,64,-65,0,65,-54)\n15: 1\n16: 3\n17: 0\n18: 0\n19: 5\n20: 1\n21: 3\n22: 0\n23: Coll(-85,-24,57,-48,-56,116,55,109,-125,23,56,30,-87,-118,11,-97,33,-90,-13,-32,-3,-21,18,-86,105,35,110,-92,60,72,-5,-70)\n24: 4\n25: 0\n26: 0\n27: 1\n28: true\n29: 0\n30: 1\n31: 2\n32: 1\n33: 0\n34: 1\n35: 1\n36: 1\n37: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = placeholder[Coll[Byte]](2)\n if (coll4 == coll5) { sigmaProp(placeholder[Boolean](3)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](4))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](5))\n val l10 = tuple9._2\n val tuple11 = coll6(placeholder[Int](6))\n val l12 = tuple11._2\n val tuple13 = coll2(placeholder[Int](7))\n val l14 = tuple13._2\n val tuple15 = coll2(placeholder[Int](8))\n val l16 = tuple15._2\n val tuple17 = coll6(placeholder[Int](9))\n val l18 = tuple17._2\n val coll19 = tuple7._1\n val tuple20 = coll6(placeholder[Int](10))\n val coll21 = tuple17._1\n val coll22 = tuple11._1\n val bool23 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.value >= SELF.value, coll4 == tuple20._1, tuple3._2 == tuple20._2, tuple9._1 == coll19, tuple15._1 == coll21, tuple13._1 == coll22, box1.R4[\n Coll[Byte]\n ].get == SELF.R4[Coll[Byte]].get\n )\n )\n if (l8 > l10) {(\n val box24 = OUTPUTS(placeholder[Int](11))\n val box25 = OUTPUTS(placeholder[Int](12))\n val l26 = l8 - l10\n val tuple27 = box24.tokens(placeholder[Int](13))\n val bool28 = allOf(\n Coll[Boolean](bool23, l26 == l16 - l18, tuple27._2 == l26, tuple27._1 == coll19, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (l14 == l12 - placeholder[Long](15)) {(\n val coll29 = SELF.id\n val tuple30 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n val box31 = CONTEXT.dataInputs(placeholder[Int](18))\n val coll32 = box31.R4[Coll[Long]].get\n val coll33 = box25.tokens\n val l34 = coll32(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.R5[Long].get == SELF.R5[Long].get + placeholder[Long](20), bool28, box24.R4[\n Coll[Byte]\n ].get == coll29, tuple30._1 == coll29, tuple30._2 >= placeholder[Long](21), box31.tokens(placeholder[Int](22))._1 == coll5, blake2b256(\n box25.propositionBytes\n ) == placeholder[Coll[Byte]](23), box25.R4[Coll[Byte]].get == coll29, box25.value >= coll32(placeholder[Int](24)), box25.R5[\n Long\n ].get == l26, coll33(placeholder[Int](25))._1 == coll22, if (l34 > placeholder[Long](26)) {(\n val tuple35 = coll33(placeholder[Int](27))\n allOf(Coll[Boolean](tuple35._1 == coll21, tuple35._2 >= l34))\n )} else { placeholder[Boolean](28) }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool28, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, l14 == l12, box1.R5[Long].get == SELF.R5[Long].get, box25.tokens(\n placeholder[Int](29)\n )._1 == coll22, INPUTS(placeholder[Int](30)).R5[Long].get + l26 == box25.R5[Long].get\n )\n )\n )\n }\n )} else {(\n val box24 = INPUTS(placeholder[Int](31))\n val box25 = INPUTS(placeholder[Int](32))\n val l26 = l10 - l8\n val l27 = box25.R5[Long].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, box24.tokens(placeholder[Int](33))._1 == coll19, l26 == l18 - l16, if (l27 > l26) {\n allOf(Coll[Boolean](l12 == l14, box1.R5[Long].get == SELF.R5[Long].get, l27 - l26 == OUTPUTS(placeholder[Int](34)).R5[Long].get))\n } else { allOf(Coll[Boolean](l14 == l12 + placeholder[Long](35), box1.R5[Long].get == SELF.R5[Long].get - placeholder[Long](36))) }, box25.tokens(\n placeholder[Int](37)\n )._1 == coll22\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "ac7bbfff7ec3852afae13153a9a5b063ac26fc43a780aa3468cec8c9cdd176b3",
"index": 0,
"amount": 1,
"name": "RosenRWTRepo-Pandora",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b5c6663aadb8491819a0505e8fa90d9c2fe57375c52b0fca85dedcf6f1522a71",
"index": 1,
"amount": 1000000000000,
"name": "RosenBinanceRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
"index": 2,
"amount": 1,
"name": "RSN-Pandora",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "ad6aef47944a50e9e23ea5e994737f74b22ca8d7ed63e2e3993617e998acd8fe",
"index": 3,
"amount": 2000,
"name": "RosenBinanceAWC-Pandora",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0762696e616e6365",
"sigmaType": "Coll[SByte]",
"renderedValue": "62696e616e6365"
},
"R5": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
}
}
},
{
"boxId": "3ee28235f546139e846dbaa2c965f969842d435691a57b226b13463b4f178381",
"value": 100000000,
"index": 1,
"spendingProof": "2d52870850ec9fca52de10bb3f91b228ae02548b3fa0202647102356c213cae00e9762a0cd048b00705a0d3ff636b686fb84d381e81a73fc",
"outputBlockId": "138db8f213d698ce6fc7e5caaecf0f6cf412173723a066acaf11e45c155a6c94",
"outputTransactionId": "2476176cb20f50502608c7812a45527765bbee242117261377b38fb0a485a198",
"outputIndex": 0,
"outputGlobalIndex": 43517398,
"outputCreatedAt": 1384143,
"outputSettledAt": 1384145,
"ergoTree": "0008cd02b05acdc2115d2950f570ee4254be056cfff8798b5daeb2e8bfe956f23db448c4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b05acd,455769,...)))}",
"address": "9frjFzCEyq6CZEqBzYDMVbKUqFCP3xctdsiFPMCVuFshL2HpDq3",
"assets": [
{
"tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
"index": 0,
"amount": 11000,
"name": "RSN-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "6957360e636a4e633d4452b49f182fdd9085eacf03f3e388c4d69a00390192c6",
"value": 1100000,
"index": 0,
"outputBlockId": "2778384714b045ac25db3e97bee736e75e61d4cfe864f4a953ed94fb4b710d49",
"outputTransactionId": "e9263db5490e619f9b8c30712c8d9f2d1ccc987656c79fdae20051ca2988ace3",
"outputIndex": 0,
"ergoTree": "100604000400040004000e20a2d7f41b79f98bcaef08214b9e6bf0f3b803e446a9ef5949da799739555165aa0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhBMkLFHpReSPj7knVLihVSxxh55yh3X39NhP6cKMVYZYf6cFuP7267DEtkrWxFSbYqfX6zj2qY57ZBCNkFEQnJVGxvyjXnNJ1Nrj5YiymeX2SAb66uYfHxZJQTv9R7S6PE4vvnUp5oC4LbGaC4bo8HkGCUzpvpSLm9qeSzwFXdznsJketE6n6HLGLqNXQ3KZXNaG8",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,1000]"
}
}
}
],
"outputs": [
{
"boxId": "b8401bc86e06e507cc93b311ff85321f4d9430b0942f9956d2ad0509bc02dece",
"transactionId": "73c54de01bdec2ed25a068735f5468590aac8ce1b1e78e457f575f03a01a3938",
"blockId": "531ae6b87c60126096fb883d4ab95844e0d70ae31926427bec38fe43466448ab",
"value": 1100000,
"index": 0,
"globalIndex": 43670185,
"creationHeight": 1389814,
"settlementHeight": 1389816,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(109,-128,110,-39,-74,-47,-58,-63,85,8,98,-72,-80,-120,79,13,86,69,-18,-105,-53,-12,124,-62,53,-15,-123,51,27,18,28,-124)\n3: true\n4: 1\n5: 1\n6: 3\n7: 3\n8: 2\n9: 2\n10: 0\n11: 2\n12: 1\n13: 0\n14: Coll(15,-113,91,-109,59,-17,8,-76,-82,43,65,85,4,95,-59,10,62,-80,-118,53,-61,10,-89,111,5,55,120,64,-65,0,65,-54)\n15: 1\n16: 3\n17: 0\n18: 0\n19: 5\n20: 1\n21: 3\n22: 0\n23: Coll(-85,-24,57,-48,-56,116,55,109,-125,23,56,30,-87,-118,11,-97,33,-90,-13,-32,-3,-21,18,-86,105,35,110,-92,60,72,-5,-70)\n24: 4\n25: 0\n26: 0\n27: 1\n28: true\n29: 0\n30: 1\n31: 2\n32: 1\n33: 0\n34: 1\n35: 1\n36: 1\n37: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = placeholder[Coll[Byte]](2)\n if (coll4 == coll5) { sigmaProp(placeholder[Boolean](3)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](4))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](5))\n val l10 = tuple9._2\n val tuple11 = coll6(placeholder[Int](6))\n val l12 = tuple11._2\n val tuple13 = coll2(placeholder[Int](7))\n val l14 = tuple13._2\n val tuple15 = coll2(placeholder[Int](8))\n val l16 = tuple15._2\n val tuple17 = coll6(placeholder[Int](9))\n val l18 = tuple17._2\n val coll19 = tuple7._1\n val tuple20 = coll6(placeholder[Int](10))\n val coll21 = tuple17._1\n val coll22 = tuple11._1\n val bool23 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.value >= SELF.value, coll4 == tuple20._1, tuple3._2 == tuple20._2, tuple9._1 == coll19, tuple15._1 == coll21, tuple13._1 == coll22, box1.R4[\n Coll[Byte]\n ].get == SELF.R4[Coll[Byte]].get\n )\n )\n if (l8 > l10) {(\n val box24 = OUTPUTS(placeholder[Int](11))\n val box25 = OUTPUTS(placeholder[Int](12))\n val l26 = l8 - l10\n val tuple27 = box24.tokens(placeholder[Int](13))\n val bool28 = allOf(\n Coll[Boolean](bool23, l26 == l16 - l18, tuple27._2 == l26, tuple27._1 == coll19, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (l14 == l12 - placeholder[Long](15)) {(\n val coll29 = SELF.id\n val tuple30 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n val box31 = CONTEXT.dataInputs(placeholder[Int](18))\n val coll32 = box31.R4[Coll[Long]].get\n val coll33 = box25.tokens\n val l34 = coll32(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.R5[Long].get == SELF.R5[Long].get + placeholder[Long](20), bool28, box24.R4[\n Coll[Byte]\n ].get == coll29, tuple30._1 == coll29, tuple30._2 >= placeholder[Long](21), box31.tokens(placeholder[Int](22))._1 == coll5, blake2b256(\n box25.propositionBytes\n ) == placeholder[Coll[Byte]](23), box25.R4[Coll[Byte]].get == coll29, box25.value >= coll32(placeholder[Int](24)), box25.R5[\n Long\n ].get == l26, coll33(placeholder[Int](25))._1 == coll22, if (l34 > placeholder[Long](26)) {(\n val tuple35 = coll33(placeholder[Int](27))\n allOf(Coll[Boolean](tuple35._1 == coll21, tuple35._2 >= l34))\n )} else { placeholder[Boolean](28) }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool28, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, l14 == l12, box1.R5[Long].get == SELF.R5[Long].get, box25.tokens(\n placeholder[Int](29)\n )._1 == coll22, INPUTS(placeholder[Int](30)).R5[Long].get + l26 == box25.R5[Long].get\n )\n )\n )\n }\n )} else {(\n val box24 = INPUTS(placeholder[Int](31))\n val box25 = INPUTS(placeholder[Int](32))\n val l26 = l10 - l8\n val l27 = box25.R5[Long].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, box24.tokens(placeholder[Int](33))._1 == coll19, l26 == l18 - l16, if (l27 > l26) {\n allOf(Coll[Boolean](l12 == l14, box1.R5[Long].get == SELF.R5[Long].get, l27 - l26 == OUTPUTS(placeholder[Int](34)).R5[Long].get))\n } else { allOf(Coll[Boolean](l14 == l12 + placeholder[Long](35), box1.R5[Long].get == SELF.R5[Long].get - placeholder[Long](36))) }, box25.tokens(\n placeholder[Int](37)\n )._1 == coll22\n )\n )\n )\n )}\n )}\n}",
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],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0762696e616e6365",
"sigmaType": "Coll[SByte]",
"renderedValue": "62696e616e6365"
},
"R5": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
}
},
"spentTransactionId": "3aa68b14770def264bfeb1ce0ad79b6aea3b725d0607ad33b3c429781af073c1",
"mainChain": true
},
{
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"transactionId": "73c54de01bdec2ed25a068735f5468590aac8ce1b1e78e457f575f03a01a3938",
"blockId": "531ae6b87c60126096fb883d4ab95844e0d70ae31926427bec38fe43466448ab",
"value": 10000000,
"index": 1,
"globalIndex": 43670186,
"creationHeight": 1389814,
"settlementHeight": 1389816,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: 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)\n5: 0\n6: 1\n7: 1\n8: 0\n9: 3\n10: 0\n11: 1\n12: 1\n13: 1\n14: true\n15: 0\n16: 3\n17: 0\n18: 2\n19: true\n20: 3\n21: 0\n22: 2\n23: 1\n24: 0\n25: 3\n26: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val l4 = box1.tokens(placeholder[Int](2))._2 - coll3(placeholder[Int](3))._2\n val l5 = SELF.R5[Long].get\n val coll6 = placeholder[Coll[Byte]](4)\n val coll7 = SELF.R4[Coll[Byte]].get\n if (l4 < l5) {(\n val coll8 = SELF.tokens\n val coll9 = coll8(placeholder[Int](5))._1\n val box10 = OUTPUTS(placeholder[Int](6))\n val coll11 = box10.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](7)).id, coll3(placeholder[Int](8))._1 == coll6, coll3(\n placeholder[Int](9)\n )._1 == coll9, box10.value == SELF.value, coll11(placeholder[Int](10))._1 == coll9, if (coll8.size > placeholder[Int](11)) {(\n val tuple12 = coll11(placeholder[Int](12))\n val tuple13 = coll8(placeholder[Int](13))\n (tuple12._1 == tuple13._1) && (tuple12._2 == tuple13._2)\n )} else { placeholder[Boolean](14) }, box10.R4[Coll[Byte]].get == coll7, box10.R5[Long].get + l4 == l5, if (l4 < placeholder[Long](15)) {(\n val tuple12 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n (tuple12._1 == coll7) && (tuple12._2 >= placeholder[Long](18))\n )} else { placeholder[Boolean](19) }\n )\n )\n )\n )} else {(\n val tuple8 = INPUTS(placeholder[Int](20)).tokens(placeholder[Int](21))\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple8._1 == coll7, tuple8._2 >= placeholder[Long](22), box1.R5[Long].get + placeholder[Long](23) == box2.R5[Long].get, coll3(\n placeholder[Int](24)\n )._1 == coll6, coll3(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1\n )\n )\n )\n )}\n}",
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"name": "RosenBinanceAWC-Pandora",
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"type": "EIP-004"
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"sigmaType": "Coll[SByte]",
"renderedValue": "77ceb05d4a8adb83b8fc29f497e1907215fe58000b602d60e0ceb53252853d82"
},
"R5": {
"serializedValue": "05a09c01",
"sigmaType": "SLong",
"renderedValue": "10000"
}
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"mainChain": true
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{
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"index": 2,
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"creationHeight": 1389814,
"settlementHeight": 1389816,
"ergoTree": "101904000400040004000400040005000e20ac7bbfff7ec3852afae13153a9a5b063ac26fc43a780aa3468cec8c9cdd176b3040604000404040204000402050404000400040004000400040204000e201f60441ed41fbcc929b74dc79436edd4b1b0c79b185f7c22c5eefda9f9dc6adf04040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 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)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,96,68,30,-44,31,-68,-55,41,-73,77,-57,-108,54,-19,-44,-79,-80,-57,-101,24,95,124,34,-59,-18,-3,-87,-7,-36,106,-33)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b5c6663aadb8491819a0505e8fa90d9c2fe57375c52b0fca85dedcf6f1522a71",
"index": 0,
"amount": 10000,
"name": "RosenBinanceRWT-Pandora",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2077ceb05d4a8adb83b8fc29f497e1907215fe58000b602d60e0ceb53252853d82",
"sigmaType": "Coll[SByte]",
"renderedValue": "77ceb05d4a8adb83b8fc29f497e1907215fe58000b602d60e0ceb53252853d82"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "6529d58967d4bc43da34565b6b7b4a6f5ad66f11c9eef1acbb3cc776e997f423",
"mainChain": true
},
{
"boxId": "29eb04c2d5626e2182a633b42f9c55d7d46c3957f88f1d2112273305fa94e751",
"transactionId": "73c54de01bdec2ed25a068735f5468590aac8ce1b1e78e457f575f03a01a3938",
"blockId": "531ae6b87c60126096fb883d4ab95844e0d70ae31926427bec38fe43466448ab",
"value": 2000000,
"index": 3,
"globalIndex": 43670188,
"creationHeight": 1389814,
"settlementHeight": 1389816,
"ergoTree": "0008cd02b05acdc2115d2950f570ee4254be056cfff8798b5daeb2e8bfe956f23db448c4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b05acd,455769,...)))}",
"address": "9frjFzCEyq6CZEqBzYDMVbKUqFCP3xctdsiFPMCVuFshL2HpDq3",
"assets": [
{
"tokenId": "77ceb05d4a8adb83b8fc29f497e1907215fe58000b602d60e0ceb53252853d82",
"index": 0,
"amount": 3,
"name": "WID-53d82-L2HpDq3",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e115749442d35336438322d4c324870447133",
"sigmaType": "Coll[SByte]",
"renderedValue": "5749442d35336438322d4c324870447133"
},
"R5": {
"serializedValue": "0e46526f73656e205761746368657220494420283966726a467a4345797136435a4571427a59444d56624b55714643503378637464736946504d4356754673684c32487044713329",
"sigmaType": "Coll[SByte]",
"renderedValue": "526f73656e205761746368657220494420283966726a467a4345797136435a4571427a59444d56624b55714643503378637464736946504d4356754673684c32487044713329"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
},
"R7": {
"serializedValue": "0e0131",
"sigmaType": "Coll[SByte]",
"renderedValue": "31"
}
},
"spentTransactionId": "6529d58967d4bc43da34565b6b7b4a6f5ad66f11c9eef1acbb3cc776e997f423",
"mainChain": true
},
{
"boxId": "7ecccfde5dfc4fbbc4f2cfb0d2fa12f14d04af411c762283613e3e24679f3751",
"transactionId": "73c54de01bdec2ed25a068735f5468590aac8ce1b1e78e457f575f03a01a3938",
"blockId": "531ae6b87c60126096fb883d4ab95844e0d70ae31926427bec38fe43466448ab",
"value": 84000000,
"index": 4,
"globalIndex": 43670189,
"creationHeight": 1389814,
"settlementHeight": 1389816,
"ergoTree": "0008cd02b05acdc2115d2950f570ee4254be056cfff8798b5daeb2e8bfe956f23db448c4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b05acd,455769,...)))}",
"address": "9frjFzCEyq6CZEqBzYDMVbKUqFCP3xctdsiFPMCVuFshL2HpDq3",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "6529d58967d4bc43da34565b6b7b4a6f5ad66f11c9eef1acbb3cc776e997f423",
"mainChain": true
},
{
"boxId": "c2471a87a1d41e77462ede93fa8acaedcc065ec5f2686760e0b18650be5f5636",
"transactionId": "73c54de01bdec2ed25a068735f5468590aac8ce1b1e78e457f575f03a01a3938",
"blockId": "531ae6b87c60126096fb883d4ab95844e0d70ae31926427bec38fe43466448ab",
"value": 2000000,
"index": 5,
"globalIndex": 43670190,
"creationHeight": 1389814,
"settlementHeight": 1389816,
"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": "c632dfd12cfcbde5f7ab75ff303d082e200f892d1375aea0511b2362963cb449",
"mainChain": true
}
],
"size": 2608,
"isUnconfirmed": false
}