Transaction
ID: 94223dc8e6...5583
Inputs (31)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
800 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
4.13 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
15,150
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
8,094.07
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
4
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
8
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0039 ERG
Tokens:
8
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
800 ERG
Tokens:
Loading assets...
Spent
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
24,000.00
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
4.18 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0021 ERG
Transaction Details
Confirmations: 453,840
Total coins transferred: 804.18 ERG
Fees: 0.0021 ERG
Fees per byte: 0.00000041 ERG
Raw Transaction Data
{
"id": "94223dc8e694e5fac92d671ef606c73e00e07921359d8a66136ffcfd0c075583",
"blockId": "c9b8fe0c266dfb77b711095a187103d3e57ff21674a185ccb3382e3833f06f90",
"inclusionHeight": 1305485,
"timestamp": 1720675630199,
"index": 5,
"globalIndex": 7461273,
"numConfirmations": 453840,
"inputs": [
{
"boxId": "7c6f61039c469739d2b1045d3a610e24d0845065c0cbe47d516773c0d84efa39",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "5dd8c8615ce190bb7906e3031abfc4aae6f91e891637172e8ba77ca3d370fd85",
"outputTransactionId": "da280b699c0482ed526835087ebdb1574c8468332579da529b2aca1cb6b74a89",
"outputIndex": 0,
"outputGlobalIndex": 41334753,
"outputCreatedAt": 1304375,
"outputSettledAt": 1304377,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n3: true\n4: 1\n5: 1\n6: 3\n7: 3\n8: 2\n9: 2\n10: 0\n11: 2\n12: 1\n13: 0\n14: Coll(29,43,-89,-31,109,-42,105,-64,102,70,-13,84,24,32,-8,-60,91,-113,103,-107,-59,115,80,104,48,-96,-55,-74,-52,88,-14,-76)\n15: 1\n16: 3\n17: 0\n18: 0\n19: 5\n20: 1\n21: 3\n22: 0\n23: Coll(-73,37,-74,-105,-76,65,38,109,-102,30,41,-78,41,29,109,19,115,4,26,-37,125,79,-117,14,-74,-78,-10,20,-21,51,85,121)\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": "eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660",
"index": 0,
"amount": 1,
"name": "rspv2RWTNFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 1,
"amount": 998250160627,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 2,
"amount": 1749839374,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "edbff0275676e3ba0f35dd1aff9a1dd29d81b17778aed36492fdd2cd94a20482",
"index": 3,
"amount": 1923,
"name": "rspv2CardanoAWC",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0763617264616e6f",
"sigmaType": "Coll[SByte]",
"renderedValue": "63617264616e6f"
},
"R5": {
"serializedValue": "059a01",
"sigmaType": "SLong",
"renderedValue": "77"
}
}
},
{
"boxId": "c03717be86d962989d5ff40ecee1191e8d6dc4d8196058cc523265760b606fc8",
"value": 800000000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "4f8e1d9738726970a6af24fbf15da9f92b79c5e53a7e9f4e10ff93f80aa777c0",
"outputTransactionId": "2e720496717dd605a7713a29e69c1909568a1e01aec653fc0de3e711426999e7",
"outputIndex": 1,
"outputGlobalIndex": 40747299,
"outputCreatedAt": 1284768,
"outputSettledAt": 1284773,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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}",
"address": "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",
"assets": [
{
"tokenId": "edbff0275676e3ba0f35dd1aff9a1dd29d81b17778aed36492fdd2cd94a20482",
"index": 0,
"amount": 1,
"name": "rspv2CardanoAWC",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 30000000,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
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"ergoTree": "1026040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce0010104020402040604060404040404000404040204000e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b40502040604000400040a0502050604000e20b725b697b441266d9a1e29b2291d6d1373041adb7d4f8b0eb6b2f614eb33557904080400050004020101040004020404040204000402050205020400d805d601b2a5730000d602db63087201d603b27202730100d6048c720301d6057302959372047205d17303d812d606db6308a7d607b27206730400d6088c720702d609b27202730500d60a8c720902d60bb27206730600d60c8c720b02d60db27202730700d60e8c720d02d60fb27202730800d6108c720f02d611b27206730900d6128c721102d6138c720701d614b27206730a00d6158c721101d6168c720b01d6179683080193c27201c2a792c17201c1a79372048c721401938c7203028c721402938c7209017213938c720f017215938c720d01721693e4c67201040ee4c6a7040e95917208720ad805d618b2a5730b00d619b2a5730c00d61a997208720ad61bb2db63087218730d00d61c96830501721793721a9972107212938c721b02721a938c721b01721393cbc27218730e9593720e99720c730fd806d61dc5a7d61eb2db6308b2a5731000731100d61fb2db6501fe731200d620e4c6721f0411d621db63087219d622b27220731300d196830c0193e4c6720105059ae4c6a705057314721c93e4c67218040e721d938c721e01721d928c721e027315938cb2db6308721f73160001720593cbc27219731793e4c67219040e721d92c17219b2722073180093e4c672190505721a938cb2722173190001721695917222731ad801d623b27221731b0096830201938c7223017215928c7223027222731cd196830601721c93e4c67218040ee4c67219040e93720e720c93e4c672010505e4c6a70505938cb2db63087219731d00017216939ae4c6b2a4731e000505721ae4c672190505d804d618b2a4731f00d619b2a4732000d61a99720a7208d61be4c672190505d196830601721793e4c67218040ee4c67219040e938cb2db6308721873210001721393721a99721272109591721b721a9683030193720c720e93e4c672010505e4c6a705059399721b721ae4c6b2a573220005059683020193720e9a720c732393e4c67201050599e4c6a705057324938cb2db63087219732500017216",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n3: true\n4: 1\n5: 1\n6: 3\n7: 3\n8: 2\n9: 2\n10: 0\n11: 2\n12: 1\n13: 0\n14: Coll(29,43,-89,-31,109,-42,105,-64,102,70,-13,84,24,32,-8,-60,91,-113,103,-107,-59,115,80,104,48,-96,-55,-74,-52,88,-14,-76)\n15: 1\n16: 3\n17: 0\n18: 0\n19: 5\n20: 1\n21: 3\n22: 0\n23: Coll(-73,37,-74,-105,-76,65,38,109,-102,30,41,-78,41,29,109,19,115,4,26,-37,125,79,-117,14,-74,-78,-10,20,-21,51,85,121)\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": "eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660",
"index": 0,
"amount": 1,
"name": "rspv2RWTNFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 1,
"amount": 998226160626,
"name": "rspv2CardanoRWT",
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"type": "EIP-004"
},
{
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"amount": 1773839375,
"name": "RSN",
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"type": "EIP-004"
},
{
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"index": 3,
"amount": 1923,
"name": "rspv2CardanoAWC",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0763617264616e6f",
"sigmaType": "Coll[SByte]",
"renderedValue": "63617264616e6f"
},
"R5": {
"serializedValue": "059a01",
"sigmaType": "SLong",
"renderedValue": "77"
}
},
"spentTransactionId": "bff981e3190f95946dbebeb5afcb0f2d88e753177888b2741c17d09523b0783b",
"mainChain": true
},
{
"boxId": "3a3e09146b11f12357c4b625ff341cd982ce35766af5e47869c7be5113fdbf9d",
"transactionId": "94223dc8e694e5fac92d671ef606c73e00e07921359d8a66136ffcfd0c075583",
"blockId": "c9b8fe0c266dfb77b711095a187103d3e57ff21674a185ccb3382e3833f06f90",
"value": 800000000000,
"index": 1,
"globalIndex": 41362366,
"creationHeight": 1305483,
"settlementHeight": 1305485,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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}",
"address": "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",
"assets": [
{
"tokenId": "edbff0275676e3ba0f35dd1aff9a1dd29d81b17778aed36492fdd2cd94a20482",
"index": 0,
"amount": 1,
"name": "rspv2CardanoAWC",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 30000000,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2091250d408f15040831d9dd40e61f25ba9914ceaf0631b578996f381d8fff1817",
"sigmaType": "Coll[SByte]",
"renderedValue": "91250d408f15040831d9dd40e61f25ba9914ceaf0631b578996f381d8fff1817"
},
"R5": {
"serializedValue": "05848ece1c",
"sigmaType": "SLong",
"renderedValue": "30000002"
}
},
"spentTransactionId": "c60e047820f132c3178b59e8510c0ba27e442499a5b990c7c8a09ec5114d7853",
"mainChain": true
},
{
"boxId": "da506cbd8db3e84ac6ca1dc97ebf3b2c538103659c1203719945a3d1e9e7cfc2",
"transactionId": "94223dc8e694e5fac92d671ef606c73e00e07921359d8a66136ffcfd0c075583",
"blockId": "c9b8fe0c266dfb77b711095a187103d3e57ff21674a185ccb3382e3833f06f90",
"value": 2000000,
"index": 2,
"globalIndex": 41362367,
"creationHeight": 1305483,
"settlementHeight": 1305485,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 24000001,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2091250d408f15040831d9dd40e61f25ba9914ceaf0631b578996f381d8fff1817",
"sigmaType": "Coll[SByte]",
"renderedValue": "91250d408f15040831d9dd40e61f25ba9914ceaf0631b578996f381d8fff1817"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "5d3a190b52b70a14ee21824b633cad5c734b25df1a041ba5fbf156bb00bc95bc",
"mainChain": true
},
{
"boxId": "97fc034db33b43efce505e75984015c3697a22451629e20fb572fe993f3e5e5d",
"transactionId": "94223dc8e694e5fac92d671ef606c73e00e07921359d8a66136ffcfd0c075583",
"blockId": "c9b8fe0c266dfb77b711095a187103d3e57ff21674a185ccb3382e3833f06f90",
"value": 2000000,
"index": 3,
"globalIndex": 41362368,
"creationHeight": 1305483,
"settlementHeight": 1305485,
"ergoTree": "0008cd0366ca42c48d2e9fdd9fac8cdb4ddb74121af34aaa482431042a062ffe00c5d6ea",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(66ca42,4c21dd,...)))}",
"address": "9hF5KsGaUEsNReecphYZYmH73JiaW35RuXf2J5dQ3NEiP36ewQQ",
"assets": [
{
"tokenId": "91250d408f15040831d9dd40e61f25ba9914ceaf0631b578996f381d8fff1817",
"index": 0,
"amount": 2,
"name": "WID-f1817-P36ewQQ",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "feb426d157e91b03285f7f25c453ecbf939750e829638f6ed90bf002c02fb9d4",
"mainChain": true
},
{
"boxId": "bb54d54b4e41cce627ae569b07c16f2355ec49fe38c928a39fd0c16e74b8017d",
"transactionId": "94223dc8e694e5fac92d671ef606c73e00e07921359d8a66136ffcfd0c075583",
"blockId": "c9b8fe0c266dfb77b711095a187103d3e57ff21674a185ccb3382e3833f06f90",
"value": 4176227962,
"index": 4,
"globalIndex": 41362369,
"creationHeight": 1305483,
"settlementHeight": 1305485,
"ergoTree": "0008cd0366ca42c48d2e9fdd9fac8cdb4ddb74121af34aaa482431042a062ffe00c5d6ea",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(66ca42,4c21dd,...)))}",
"address": "9hF5KsGaUEsNReecphYZYmH73JiaW35RuXf2J5dQ3NEiP36ewQQ",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 9486,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "e005c3748329d38727987b639c876808b9cc3332c1d9fe601782783f6736380e",
"index": 1,
"amount": 1,
"name": " INTRODUCING $GIF",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2e2a68e47335e2e0afc9eed7855fc0590aa50f84daa5453f1d8e59b575d34e48",
"index": 2,
"amount": 73766,
"name": "maff",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "feb426d157e91b03285f7f25c453ecbf939750e829638f6ed90bf002c02fb9d4",
"mainChain": true
},
{
"boxId": "da66bd74e624e6b30490d42579e0648a6b12247c317fb3efff822435745c3eb2",
"transactionId": "94223dc8e694e5fac92d671ef606c73e00e07921359d8a66136ffcfd0c075583",
"blockId": "c9b8fe0c266dfb77b711095a187103d3e57ff21674a185ccb3382e3833f06f90",
"value": 2100000,
"index": 5,
"globalIndex": 41362370,
"creationHeight": 1305483,
"settlementHeight": 1305485,
"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": "5ef4d72d01baab0894c40b36d64b55e7cecd2d32fe9c444209433b8697393c77",
"mainChain": true
}
],
"size": 5119,
"isUnconfirmed": false
}