Transaction
ID: 14b2d6ffa3...a9f2
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.007 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
1,037.61
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
364.34
Outputs (13)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
85.25
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
168.41
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
10.90
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
122.53
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
51.67
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
220.29
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
272.38
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
427.15
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.006 ERG
Tokens:
0
Transaction Details
Confirmations: 972,559
Total coins transferred: 0.019 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000663 ERG
Raw Transaction Data
{
"id": "14b2d6ffa3b94eadeac928d52a43335361d7867d628b0cb1eff5bc9cb040a9f2",
"blockId": "62578ed490daffad1d9297fe276f77c92408dc64a7b359e8a79073a5ca2afd0f",
"inclusionHeight": 784639,
"timestamp": 1656773242123,
"index": 13,
"globalIndex": 3476161,
"numConfirmations": 972559,
"inputs": [
{
"boxId": "7f53ae3a871ae203190b401568b67c2cd9e7e2086bafdc9981ce3e5adff11b8f",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d25aebe49e0a65e07cac60f0859cbb1fc19a98f0dfe9977e5de777f9ec552e45",
"outputTransactionId": "64a5ea7de99dcb034614451bc9b804c7a5cf1656abf4bfbb995651d428725f40",
"outputIndex": 0,
"outputGlobalIndex": 18618999,
"outputCreatedAt": 784524,
"outputSettledAt": 784530,
"ergoTree": "101404000400040204020100010004020100040204000400050204020404040404000400010001000101d806d601c6a70611d602c6a7071ad60396830501e6c6a7040c3c0e11e6c6a7050c4c0ee67201e6720293b2a4730000a7d604b2a5730100d605b2a4730200d606c672040611957203d1959595ed93c27204c2a795957203aee47202d901070e937207c2b2a4730300730496830401e6c67205040c3c0e11e6c67205050c4c0ee6c672050611e6c67205071a730596830601e6c67204040c3c0e11e6c67204050c4c0ee6c672040611e6c67204071a93c17204c1a793b1db6308720473067307d803d607e47206d608e47201d609b27207730800ededed93b272077309009ab27208730a00730bed9072097ea305917209b27208730c0093b27207730d00b27208730e00938cb2db6308a7730f00018cb2db630872047310000173119683040193e4c67204040c3c0e11e4c67205040c3c0e1193e4c67204050c4c0ee4c67205050c4c0e93e47206e4c67205061193e4c67204071ae4c67205071a7312d17313",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: false\n5: false\n6: 1\n7: false\n8: 1\n9: 0\n10: 0\n11: 1\n12: 1\n13: 2\n14: 2\n15: 0\n16: 0\n17: false\n18: false\n19: true",
"ergoTreeScript": "{\n val opt1 = SELF.R6[Coll[Long]]\n val opt2 = SELF.R7[Coll[Coll[Byte]]]\n val bool3 = allOf(\n Coll[Boolean](\n SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Int)]].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(\n placeholder[Int](0)\n ) == SELF\n )\n )\n val box4 = OUTPUTS(placeholder[Int](1))\n val box5 = INPUTS(placeholder[Int](2))\n val opt6 = box4.R6[Coll[Long]]\n if (bool3) {\n sigmaProp(\n if (if (if ((box4.propositionBytes == SELF.propositionBytes) && if (if (bool3) {\n opt2.get.exists({(coll7: Coll[Byte]) => coll7 == INPUTS(placeholder[Int](3)).propositionBytes })\n } else { placeholder[Boolean](4) }) {\n allOf(\n Coll[Boolean](\n box5.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box5.R5[Coll[(Coll[Byte], Int)]].isDefined, box5.R6[Coll[Long]].isDefined, box5.R7[\n Coll[Coll[Byte]]\n ].isDefined\n )\n )\n } else { placeholder[Boolean](5) }) {\n allOf(\n Coll[Boolean](\n box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Int)]].isDefined, box4.R6[Coll[Long]].isDefined, box4.R7[\n Coll[Coll[Byte]]\n ].isDefined, box4.value == SELF.value, box4.tokens.size == placeholder[Int](6)\n )\n )\n } else { placeholder[Boolean](7) }) {(\n val coll7 = opt6.get\n val coll8 = opt1.get\n val l9 = coll7(placeholder[Int](8))\n (\n (\n (coll7(placeholder[Int](9)) == coll8(placeholder[Int](10)) + placeholder[Long](11)) && ((l9 <= HEIGHT.toLong) && (l9 > coll8(placeholder[Int](12))))\n ) && (coll7(placeholder[Int](13)) == coll8(placeholder[Int](14)))\n ) && (SELF.tokens(placeholder[Int](15))._1 == box4.tokens(placeholder[Int](16))._1)\n )} else { placeholder[Boolean](17) }) {\n allOf(\n Coll[Boolean](\n box4.R4[Coll[(Coll[Byte], Coll[Long])]].get == box5.R4[Coll[(Coll[Byte], Coll[Long])]].get, box4.R5[Coll[(Coll[Byte], Int)]].get == box5.R5[\n Coll[(Coll[Byte], Int)]\n ].get, opt6.get == box5.R6[Coll[Long]].get, box4.R7[Coll[Coll[Byte]]].get == box5.R7[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](18) }\n )\n } else { sigmaProp(placeholder[Boolean](19)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "30afb371a30d30f3d1180fbaf51440b9fa259b5d3b65fe2ddc988ab1e2a408e7",
"index": 0,
"amount": 1,
"name": "anetaBTC Smart Pool",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
"renderedValue": "[[0008cd03ec91358efbac4a0279f1775abf4aaaf93490a2ae8c5628e0e77838a7be014968,[4635,2000000000,221432678,61,0]],[0008cd0345eed8f098ee0076c264bd2b1ba18517c7cd7eb88815334cb15db25f9ec1b153,[0,100000000,36818687,-1,0]],[0008cd023b369f3a7c2df4eb23865c86984f1f49d6125c3ddd0b4e3bb8d451b44f810c8b,[299,10000000,7589659,8,0]],[0008cd03bfa3d6e0bd0d26fe2cd0472cb2c825b311a2328fef9fa1e78fc9becc566c436f,[258,10000000,6548936,1,0]],[0008cd03182d7d28fc56b7d51b866106d42761097abe1644260664fd4f69f668ed47a916,[1129,100000000,91954592,8,0]],[0008cd036497afacf184330a03f9f097e22f50addafa30dd194e4d96c4191d2f5ef48868,[3573,10000000,0,152,0]],[0008cd024d81f76813235549dab2bee80d090b57693cb7372cf04e46bcfc7fcbba3b97ae,[3809,100000000,0,90,0]],[0008cd033a30cf7ab9c2406864b18dd9c5a84635ae697a8a2d2618dd4334ca77378cdc04,[9451,100000000,0,16,0]],[0008cd03248558dc8cc5352e3289651a268139c2a839e43b1d445cf53c3985ef4e863c0e,[13910,10000000,0,76,0]],[0008cd0378f9fd68aa61cee719b9e32709af5557b43c5117721dac48b3fa32f63c06ffb9,[1918,10000000,0,61,0]]]"
},
"R5": {
"serializedValue": "0c4c0e01240008cd0315a5d99a010bf189b1abae2d9f21be6f3438803aca1e6aac739fbee31150d62700",
"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd0315a5d99a010bf189b1abae2d9f21be6f3438803aca1e6aac739fbee31150d627,0]]"
},
"R6": {
"serializedValue": "1105d40298e25fe6fd5d1800",
"sigmaType": "Coll[SLong]",
"renderedValue": "[170,784524,769907,12,0]"
},
"R7": {
"serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
}
}
},
{
"boxId": "773eeed6b6c117c1bc91b174b83b68ed1874b635c095a5b6d92797a1467e126d",
"value": 7000000,
"index": 1,
"spendingProof": "3f14d901f4cd2d5d4e13e0fecc81292a8f10902c9eee729a00bdf7d4d21e0f78d3668fca477a273ba0a1a076914847283fdb230b4528530c",
"outputBlockId": "efb31b9e407a554a9db05b87a7c3b47210cf3735f3daa6c1540ca329b208b745",
"outputTransactionId": "99f274d9249e04f009c3407507f87d15fa2bfae8b2204fe1d08a13d62dcbc3ca",
"outputIndex": 12,
"outputGlobalIndex": 18623745,
"outputCreatedAt": 784629,
"outputSettledAt": 784632,
"ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
"address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
"renderedValue": "[[0008cd03ec91358efbac4a0279f1775abf4aaaf93490a2ae8c5628e0e77838a7be014968,[4208,2000000000,330374202,62,0]],[0008cd0345eed8f098ee0076c264bd2b1ba18517c7cd7eb88815334cb15db25f9ec1b153,[0,100000,0,-1,0]],[0008cd023b369f3a7c2df4eb23865c86984f1f49d6125c3ddd0b4e3bb8d451b44f810c8b,[128,10000000,0,9,0]],[0008cd03bfa3d6e0bd0d26fe2cd0472cb2c825b311a2328fef9fa1e78fc9becc566c436f,[0,100000,0,-1,0]],[0008cd03182d7d28fc56b7d51b866106d42761097abe1644260664fd4f69f668ed47a916,[1181,100000000,0,9,0]],[0008cd036497afacf184330a03f9f097e22f50addafa30dd194e4d96c4191d2f5ef48868,[3293,10000000,0,153,0]],[0008cd0351d4cc217c6ccb05b58bc161a2c36c6418db9d092f5364858d849f7f311ab39c,[10521,100000000,0,1,0]],[0008cd025fe0edaf7b8bc246136d2dceeff9fac2a7d2ebe411f0f00eb495054f83868d41,[60,100000000,1553348,1,0]],[0008cd024d81f76813235549dab2bee80d090b57693cb7372cf04e46bcfc7fcbba3b97ae,[3678,100000000,95220277,91,0]],[0008cd033a30cf7ab9c2406864b18dd9c5a84635ae697a8a2d2618dd4334ca77378cdc04,[8509,100000000,0,17,0]],[0008cd03248558dc8cc5352e3289651a268139c2a839e43b1d445cf53c3985ef4e863c0e,[6505,10000000,0,77,0]],[0008cd0378f9fd68aa61cee719b9e32709af5557b43c5117721dac48b3fa32f63c06ffb9,[1996,10000000,0,62,0]]]"
},
"R5": {
"serializedValue": "0c4c0e01240008cd0315a5d99a010bf189b1abae2d9f21be6f3438803aca1e6aac739fbee31150d62700",
"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd0315a5d99a010bf189b1abae2d9f21be6f3438803aca1e6aac739fbee31150d627,0]]"
},
"R6": {
"serializedValue": "1105d602eae35fe6fd5d1800",
"sigmaType": "Coll[SLong]",
"renderedValue": "[171,784629,769907,12,0]"
},
"R7": {
"serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
}
}
},
{
"boxId": "f434f8b9957fd2d1cc81195c4d109f2a6d766fc08b3ee059059742fc539161ca",
"value": 10000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "e40fafb93556f9c968be9e72d421505743b46a99b12f7595588126b687cc6ecd",
"outputTransactionId": "8fddad8a69ba92fbf8fd7a94da63c29eedef7f29b3b9d25e1498ea8d856110cb",
"outputIndex": 14,
"outputGlobalIndex": 18618263,
"outputCreatedAt": 784524,
"outputSettledAt": 784526,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 100\n4: 3\n5: -3\n6: 0\n7: 1\n8: 100\n9: 3\n10: -3\n11: 0\n12: Coll(48,-81,-77,113,-93,13,48,-13,-47,24,15,-70,-11,20,64,-71,-6,37,-101,93,59,101,-2,45,-36,-104,-118,-79,-30,-92,8,-25)\n13: 1\n14: 0\n15: 0\n16: 2\n17: 1\n18: 0\n19: 2\n20: 100000\n21: 0\n22: 0\n23: 0\n24: 0\n25: 2\n26: 1\n27: 0\n28: 2\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 2\n36: -1\n37: 2\n38: -1\n39: 0\n40: false\n41: -1\n42: -1\n43: 0\n44: false\n45: -1\n46: 0\n47: 0\n48: -1\n49: 0\n50: 1000000\n51: false\n52: true\n53: 0\n54: 0\n55: true\n56: 0\n57: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val coll3 = INPUTS.filter({(box3: Box) => box3.propositionBytes == coll2 })\n val l4 = placeholder[Long](1)\n val func5 = {(tuple5: (Long, Long)) =>\n val l7 = tuple5._1\n val l8 = tuple5._2\n val bool9 = l8 != placeholder[Long](2)\n val l10 = l8\n val l11 = if (bool9) { l10 } else { l4 }\n val l12 = l7 - l11\n val l13 = l12 * placeholder[Long](3)\n val l14 = l13 / l11\n val bool15 = l14 < placeholder[Long](4)\n val bool16 = \n val bool16 = l14 > placeholder[Long](5)\n bool16\n \n val bool17 = bool15 && bool16\n bool17\n }\n val func6 = {(tuple6: (Long, Long)) =>\n val l8 = tuple6._2\n val l9 = if (l8 != placeholder[Long](6)) { l8 } else { placeholder[Long](7) }\n val l10 = tuple6._1 - l9 * placeholder[Long](8) / l9\n (l10 < placeholder[Long](9)) && (l10 > placeholder[Long](10))\n }\n sigmaProp(if (box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) {(\n val coll7 = INPUTS(placeholder[Int](13)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll8 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l9 = coll3.fold(placeholder[Long](14), {(tuple9: (Long, Box)) => tuple9._1 + tuple9._2.tokens(placeholder[Int](15))._2 }) - coll8.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](16)) < coll11(placeholder[Int](17))\n }).fold(placeholder[Long](18), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](19)) })\n val coll10 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple10: (Coll[Byte], Int)) => (tuple10._1, tuple10._2.toLong * l9 / placeholder[Long](20)) })\n val coll11 = SELF.tokens(placeholder[Int](21))._1\n val coll12 = OUTPUTS.filter({(box12: Box) => box12.tokens.size > placeholder[Int](22) }).filter({(box12: Box) => box12.tokens(placeholder[Int](23))._1 == coll11 })\n val coll13 = coll12.map({(box13: Box) => box13.propositionBytes })\n val l14 = l4\n val coll15 = coll12.map({(box15: Box) => box15.tokens(placeholder[Int](24))._2 })\n val l16 = coll7.filter({(tuple16: (Coll[Byte], Coll[Long])) =>\n val coll18 = tuple16._2\n coll18(placeholder[Int](25)) < coll18(placeholder[Int](26))\n }).fold(placeholder[Long](27), {(tuple16: (Long, (Coll[Byte], Coll[Long]))) => tuple16._1 + tuple16._2._2(placeholder[Int](28)) })\n ((coll7.forall({(tuple17: (Coll[Byte], Coll[Long])) =>\n val coll19 = tuple17._1\n val i20 = coll8.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._1 }).indexOf(coll19, placeholder[Int](29))\n val coll21 = tuple17._2\n val l22 = {(l22: Long) => coll10.fold(l9, {(tuple24: (Long, (Coll[Byte], Long))) => tuple24._1 - tuple24._2._2 }) * l22 / coll7.fold(placeholder[Long](30), {(tuple24: (Long, (Coll[Byte], Coll[Long]))) => tuple24._1 + tuple24._2._2(placeholder[Int](31)) }) }(coll21(placeholder[Int](32)))\n val l23 = coll21(placeholder[Int](33))\n val i24 = coll13.indexOf(coll19, placeholder[Int](34))\n val l25 = coll21(placeholder[Int](35))\n if (i20 != placeholder[Int](36)) {(\n val l26 = coll8.map({(tuple26: (Coll[Byte], Coll[Long])) => tuple26._2 })(i20)(placeholder[Int](37)) + l22\n if (l26 >= l23) { if (i24 != placeholder[Int](38)) {(\n val func27 = func5\n func27((l26, coll15(i24))) && (l25 == placeholder[Long](39))\n )} else { placeholder[Boolean](40) } } else { (i24 == placeholder[Int](41)) && func5((l26, l25)) }\n )} else { if (l22 >= l23) { if (i24 != placeholder[Int](42)) { func5((l22, coll15(i24))) && (l25 == placeholder[Long](43)) } else { placeholder[Boolean](44) } } else { (i24 == placeholder[Int](45)) && func5((l22, l25)) } }\n }) && coll10.forall({(tuple17: (Coll[Byte], Long)) =>\n val l19 = tuple17._2\n if (l19 > placeholder[Long](46)) {(\n val i20 = coll13.indexOf(tuple17._1, placeholder[Int](47))\n if (i20 != placeholder[Int](48)) {(\n val box21 = coll12(i20)\n func6((l19, box21.tokens(placeholder[Int](49))._2)) && (box21.value == placeholder[Long](50))\n )} else { placeholder[Boolean](51) }\n )} else { placeholder[Boolean](52) }\n })) && if (l16 > placeholder[Long](53)) { coll12.exists({(box17: Box) => func6((l16, box17.tokens(placeholder[Int](54))._2)) && (box17.propositionBytes == coll2) }) } else { placeholder[Boolean](55) }) && coll3.forall({(box17: Box) => box17.tokens(placeholder[Int](56))._1 == coll11 })\n )} else { placeholder[Boolean](57) })\n}",
"address": "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",
"assets": [
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 0,
"amount": 1037611069,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "0d8a8e9cd487526b50b7ea3a2cdbe9c5a58356e7b1f92295931c803df9eb19b2",
"value": 1000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "d25aebe49e0a65e07cac60f0859cbb1fc19a98f0dfe9977e5de777f9ec552e45",
"outputTransactionId": "64a5ea7de99dcb034614451bc9b804c7a5cf1656abf4bfbb995651d428725f40",
"outputIndex": 6,
"outputGlobalIndex": 18619005,
"outputCreatedAt": 784524,
"outputSettledAt": 784530,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 100\n4: 3\n5: -3\n6: 0\n7: 1\n8: 100\n9: 3\n10: -3\n11: 0\n12: Coll(48,-81,-77,113,-93,13,48,-13,-47,24,15,-70,-11,20,64,-71,-6,37,-101,93,59,101,-2,45,-36,-104,-118,-79,-30,-92,8,-25)\n13: 1\n14: 0\n15: 0\n16: 2\n17: 1\n18: 0\n19: 2\n20: 100000\n21: 0\n22: 0\n23: 0\n24: 0\n25: 2\n26: 1\n27: 0\n28: 2\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 2\n36: -1\n37: 2\n38: -1\n39: 0\n40: false\n41: -1\n42: -1\n43: 0\n44: false\n45: -1\n46: 0\n47: 0\n48: -1\n49: 0\n50: 1000000\n51: false\n52: true\n53: 0\n54: 0\n55: true\n56: 0\n57: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val coll3 = INPUTS.filter({(box3: Box) => box3.propositionBytes == coll2 })\n val l4 = placeholder[Long](1)\n val func5 = {(tuple5: (Long, Long)) =>\n val l7 = tuple5._1\n val l8 = tuple5._2\n val bool9 = l8 != placeholder[Long](2)\n val l10 = l8\n val l11 = if (bool9) { l10 } else { l4 }\n val l12 = l7 - l11\n val l13 = l12 * placeholder[Long](3)\n val l14 = l13 / l11\n val bool15 = l14 < placeholder[Long](4)\n val bool16 = \n val bool16 = l14 > placeholder[Long](5)\n bool16\n \n val bool17 = bool15 && bool16\n bool17\n }\n val func6 = {(tuple6: (Long, Long)) =>\n val l8 = tuple6._2\n val l9 = if (l8 != placeholder[Long](6)) { l8 } else { placeholder[Long](7) }\n val l10 = tuple6._1 - l9 * placeholder[Long](8) / l9\n (l10 < placeholder[Long](9)) && (l10 > placeholder[Long](10))\n }\n sigmaProp(if (box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) {(\n val coll7 = INPUTS(placeholder[Int](13)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll8 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l9 = coll3.fold(placeholder[Long](14), {(tuple9: (Long, Box)) => tuple9._1 + tuple9._2.tokens(placeholder[Int](15))._2 }) - coll8.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](16)) < coll11(placeholder[Int](17))\n }).fold(placeholder[Long](18), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](19)) })\n val coll10 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple10: (Coll[Byte], Int)) => (tuple10._1, tuple10._2.toLong * l9 / placeholder[Long](20)) })\n val coll11 = SELF.tokens(placeholder[Int](21))._1\n val coll12 = OUTPUTS.filter({(box12: Box) => box12.tokens.size > placeholder[Int](22) }).filter({(box12: Box) => box12.tokens(placeholder[Int](23))._1 == coll11 })\n val coll13 = coll12.map({(box13: Box) => box13.propositionBytes })\n val l14 = l4\n val coll15 = coll12.map({(box15: Box) => box15.tokens(placeholder[Int](24))._2 })\n val l16 = coll7.filter({(tuple16: (Coll[Byte], Coll[Long])) =>\n val coll18 = tuple16._2\n coll18(placeholder[Int](25)) < coll18(placeholder[Int](26))\n }).fold(placeholder[Long](27), {(tuple16: (Long, (Coll[Byte], Coll[Long]))) => tuple16._1 + tuple16._2._2(placeholder[Int](28)) })\n ((coll7.forall({(tuple17: (Coll[Byte], Coll[Long])) =>\n val coll19 = tuple17._1\n val i20 = coll8.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._1 }).indexOf(coll19, placeholder[Int](29))\n val coll21 = tuple17._2\n val l22 = {(l22: Long) => coll10.fold(l9, {(tuple24: (Long, (Coll[Byte], Long))) => tuple24._1 - tuple24._2._2 }) * l22 / coll7.fold(placeholder[Long](30), {(tuple24: (Long, (Coll[Byte], Coll[Long]))) => tuple24._1 + tuple24._2._2(placeholder[Int](31)) }) }(coll21(placeholder[Int](32)))\n val l23 = coll21(placeholder[Int](33))\n val i24 = coll13.indexOf(coll19, placeholder[Int](34))\n val l25 = coll21(placeholder[Int](35))\n if (i20 != placeholder[Int](36)) {(\n val l26 = coll8.map({(tuple26: (Coll[Byte], Coll[Long])) => tuple26._2 })(i20)(placeholder[Int](37)) + l22\n if (l26 >= l23) { if (i24 != placeholder[Int](38)) {(\n val func27 = func5\n func27((l26, coll15(i24))) && (l25 == placeholder[Long](39))\n )} else { placeholder[Boolean](40) } } else { (i24 == placeholder[Int](41)) && func5((l26, l25)) }\n )} else { if (l22 >= l23) { if (i24 != placeholder[Int](42)) { func5((l22, coll15(i24))) && (l25 == placeholder[Long](43)) } else { placeholder[Boolean](44) } } else { (i24 == placeholder[Int](45)) && func5((l22, l25)) } }\n }) && coll10.forall({(tuple17: (Coll[Byte], Long)) =>\n val l19 = tuple17._2\n if (l19 > placeholder[Long](46)) {(\n val i20 = coll13.indexOf(tuple17._1, placeholder[Int](47))\n if (i20 != placeholder[Int](48)) {(\n val box21 = coll12(i20)\n func6((l19, box21.tokens(placeholder[Int](49))._2)) && (box21.value == placeholder[Long](50))\n )} else { placeholder[Boolean](51) }\n )} else { placeholder[Boolean](52) }\n })) && if (l16 > placeholder[Long](53)) { coll12.exists({(box17: Box) => func6((l16, box17.tokens(placeholder[Int](54))._2)) && (box17.propositionBytes == coll2) }) } else { placeholder[Boolean](55) }) && coll3.forall({(box17: Box) => box17.tokens(placeholder[Int](56))._1 == coll11 })\n )} else { placeholder[Boolean](57) })\n}",
"address": "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",
"assets": [
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 0,
"amount": 364344552,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "095f66740ab7810c48e0a14a41d69ddbe50998cc2ecb897f1bf04dbaf9e256e5",
"transactionId": "14b2d6ffa3b94eadeac928d52a43335361d7867d628b0cb1eff5bc9cb040a9f2",
"blockId": "62578ed490daffad1d9297fe276f77c92408dc64a7b359e8a79073a5ca2afd0f",
"value": 1000000,
"index": 0,
"globalIndex": 18624748,
"creationHeight": 784629,
"settlementHeight": 784639,
"ergoTree": "101404000400040204020100010004020100040204000400050204020404040404000400010001000101d806d601c6a70611d602c6a7071ad60396830501e6c6a7040c3c0e11e6c6a7050c4c0ee67201e6720293b2a4730000a7d604b2a5730100d605b2a4730200d606c672040611957203d1959595ed93c27204c2a795957203aee47202d901070e937207c2b2a4730300730496830401e6c67205040c3c0e11e6c67205050c4c0ee6c672050611e6c67205071a730596830601e6c67204040c3c0e11e6c67204050c4c0ee6c672040611e6c67204071a93c17204c1a793b1db6308720473067307d803d607e47206d608e47201d609b27207730800ededed93b272077309009ab27208730a00730bed9072097ea305917209b27208730c0093b27207730d00b27208730e00938cb2db6308a7730f00018cb2db630872047310000173119683040193e4c67204040c3c0e11e4c67205040c3c0e1193e4c67204050c4c0ee4c67205050c4c0e93e47206e4c67205061193e4c67204071ae4c67205071a7312d17313",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: false\n5: false\n6: 1\n7: false\n8: 1\n9: 0\n10: 0\n11: 1\n12: 1\n13: 2\n14: 2\n15: 0\n16: 0\n17: false\n18: false\n19: true",
"ergoTreeScript": "{\n val opt1 = SELF.R6[Coll[Long]]\n val opt2 = SELF.R7[Coll[Coll[Byte]]]\n val bool3 = allOf(\n Coll[Boolean](\n SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Int)]].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(\n placeholder[Int](0)\n ) == SELF\n )\n )\n val box4 = OUTPUTS(placeholder[Int](1))\n val box5 = INPUTS(placeholder[Int](2))\n val opt6 = box4.R6[Coll[Long]]\n if (bool3) {\n sigmaProp(\n if (if (if ((box4.propositionBytes == SELF.propositionBytes) && if (if (bool3) {\n opt2.get.exists({(coll7: Coll[Byte]) => coll7 == INPUTS(placeholder[Int](3)).propositionBytes })\n } else { placeholder[Boolean](4) }) {\n allOf(\n Coll[Boolean](\n box5.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box5.R5[Coll[(Coll[Byte], Int)]].isDefined, box5.R6[Coll[Long]].isDefined, box5.R7[\n Coll[Coll[Byte]]\n ].isDefined\n )\n )\n } else { placeholder[Boolean](5) }) {\n allOf(\n Coll[Boolean](\n box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Int)]].isDefined, box4.R6[Coll[Long]].isDefined, box4.R7[\n Coll[Coll[Byte]]\n ].isDefined, box4.value == SELF.value, box4.tokens.size == placeholder[Int](6)\n )\n )\n } else { placeholder[Boolean](7) }) {(\n val coll7 = opt6.get\n val coll8 = opt1.get\n val l9 = coll7(placeholder[Int](8))\n (\n (\n (coll7(placeholder[Int](9)) == coll8(placeholder[Int](10)) + placeholder[Long](11)) && ((l9 <= HEIGHT.toLong) && (l9 > coll8(placeholder[Int](12))))\n ) && (coll7(placeholder[Int](13)) == coll8(placeholder[Int](14)))\n ) && (SELF.tokens(placeholder[Int](15))._1 == box4.tokens(placeholder[Int](16))._1)\n )} else { placeholder[Boolean](17) }) {\n allOf(\n Coll[Boolean](\n box4.R4[Coll[(Coll[Byte], Coll[Long])]].get == box5.R4[Coll[(Coll[Byte], Coll[Long])]].get, box4.R5[Coll[(Coll[Byte], Int)]].get == box5.R5[\n Coll[(Coll[Byte], Int)]\n ].get, opt6.get == box5.R6[Coll[Long]].get, box4.R7[Coll[Coll[Byte]]].get == box5.R7[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](18) }\n )\n } else { sigmaProp(placeholder[Boolean](19)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "30afb371a30d30f3d1180fbaf51440b9fa259b5d3b65fe2ddc988ab1e2a408e7",
"index": 0,
"amount": 1,
"name": "anetaBTC Smart Pool",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
"renderedValue": "[[0008cd03ec91358efbac4a0279f1775abf4aaaf93490a2ae8c5628e0e77838a7be014968,[4208,2000000000,330374202,62,0]],[0008cd0345eed8f098ee0076c264bd2b1ba18517c7cd7eb88815334cb15db25f9ec1b153,[0,100000,0,-1,0]],[0008cd023b369f3a7c2df4eb23865c86984f1f49d6125c3ddd0b4e3bb8d451b44f810c8b,[128,10000000,0,9,0]],[0008cd03bfa3d6e0bd0d26fe2cd0472cb2c825b311a2328fef9fa1e78fc9becc566c436f,[0,100000,0,-1,0]],[0008cd03182d7d28fc56b7d51b866106d42761097abe1644260664fd4f69f668ed47a916,[1181,100000000,0,9,0]],[0008cd036497afacf184330a03f9f097e22f50addafa30dd194e4d96c4191d2f5ef48868,[3293,10000000,0,153,0]],[0008cd0351d4cc217c6ccb05b58bc161a2c36c6418db9d092f5364858d849f7f311ab39c,[10521,100000000,0,1,0]],[0008cd025fe0edaf7b8bc246136d2dceeff9fac2a7d2ebe411f0f00eb495054f83868d41,[60,100000000,1553348,1,0]],[0008cd024d81f76813235549dab2bee80d090b57693cb7372cf04e46bcfc7fcbba3b97ae,[3678,100000000,95220277,91,0]],[0008cd033a30cf7ab9c2406864b18dd9c5a84635ae697a8a2d2618dd4334ca77378cdc04,[8509,100000000,0,17,0]],[0008cd03248558dc8cc5352e3289651a268139c2a839e43b1d445cf53c3985ef4e863c0e,[6505,10000000,0,77,0]],[0008cd0378f9fd68aa61cee719b9e32709af5557b43c5117721dac48b3fa32f63c06ffb9,[1996,10000000,0,62,0]]]"
},
"R5": {
"serializedValue": "0c4c0e01240008cd0315a5d99a010bf189b1abae2d9f21be6f3438803aca1e6aac739fbee31150d62700",
"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd0315a5d99a010bf189b1abae2d9f21be6f3438803aca1e6aac739fbee31150d627,0]]"
},
"R6": {
"serializedValue": "1105d602eae35fe6fd5d1800",
"sigmaType": "Coll[SLong]",
"renderedValue": "[171,784629,769907,12,0]"
},
"R7": {
"serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
}
},
"spentTransactionId": "ec860b0fe3e043deef80dc1daeaf6287b5bb24b13a45a7b435a05dd510062ea8",
"mainChain": true
},
{
"boxId": "05fc7afff65fc6fcdf5bcbcaeadad9e90e13e710b9ad78b67a5041d84a4d4803",
"transactionId": "14b2d6ffa3b94eadeac928d52a43335361d7867d628b0cb1eff5bc9cb040a9f2",
"blockId": "62578ed490daffad1d9297fe276f77c92408dc64a7b359e8a79073a5ca2afd0f",
"value": 1000000,
"index": 1,
"globalIndex": 18624749,
"creationHeight": 784629,
"settlementHeight": 784639,
"ergoTree": "0008cd036497afacf184330a03f9f097e22f50addafa30dd194e4d96c4191d2f5ef48868",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6497af,b17759,...)))}",
"address": "9hE7C7hFteQjiLVJUghjdMk5b9J5vL326aKamf4xzHe7yXmGqgL",
"assets": [
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 0,
"amount": 85252956,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "37809b61d5ea2685d142f9a6a3ec808e7a0fc397fed0fea98a700202f94ee978",
"mainChain": true
},
{
"boxId": "89550f61695549f0ada957d1e4613bbd530485755d8bd362ccd501cc3f55472f",
"transactionId": "14b2d6ffa3b94eadeac928d52a43335361d7867d628b0cb1eff5bc9cb040a9f2",
"blockId": "62578ed490daffad1d9297fe276f77c92408dc64a7b359e8a79073a5ca2afd0f",
"value": 1000000,
"index": 2,
"globalIndex": 18624750,
"creationHeight": 784629,
"settlementHeight": 784639,
"ergoTree": "0008cd03248558dc8cc5352e3289651a268139c2a839e43b1d445cf53c3985ef4e863c0e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(248558,f8085c,...)))}",
"address": "9gjtZvdaBezGmgGXgmNpdzSZ62XztJUo8Yb8yJEjPN7c8qEQbo9",
"assets": [
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 0,
"amount": 168408891,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "755fd67e6904876288563f829fb726c776120ed047d7111930b8b08c0aa9eab1",
"mainChain": true
},
{
"boxId": "9136e5595fe545e70d0a9db2a6c4e27711d723270aa79b689fab58c16d627105",
"transactionId": "14b2d6ffa3b94eadeac928d52a43335361d7867d628b0cb1eff5bc9cb040a9f2",
"blockId": "62578ed490daffad1d9297fe276f77c92408dc64a7b359e8a79073a5ca2afd0f",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(51d4cc,ac3335,...)))}",
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],
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val coll3 = INPUTS.filter({(box3: Box) => box3.propositionBytes == coll2 })\n val l4 = placeholder[Long](1)\n val func5 = {(tuple5: (Long, Long)) =>\n val l7 = tuple5._1\n val l8 = tuple5._2\n val bool9 = l8 != placeholder[Long](2)\n val l10 = l8\n val l11 = if (bool9) { l10 } else { l4 }\n val l12 = l7 - l11\n val l13 = l12 * placeholder[Long](3)\n val l14 = l13 / l11\n val bool15 = l14 < placeholder[Long](4)\n val bool16 = \n val bool16 = l14 > placeholder[Long](5)\n bool16\n \n val bool17 = bool15 && bool16\n bool17\n }\n val func6 = {(tuple6: (Long, Long)) =>\n val l8 = tuple6._2\n val l9 = if (l8 != placeholder[Long](6)) { l8 } else { placeholder[Long](7) }\n val l10 = tuple6._1 - l9 * placeholder[Long](8) / l9\n (l10 < placeholder[Long](9)) && (l10 > placeholder[Long](10))\n }\n sigmaProp(if (box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) {(\n val coll7 = INPUTS(placeholder[Int](13)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll8 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l9 = coll3.fold(placeholder[Long](14), {(tuple9: (Long, Box)) => tuple9._1 + tuple9._2.tokens(placeholder[Int](15))._2 }) - coll8.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n val coll11 = tuple9._2\n coll11(placeholder[Int](16)) < coll11(placeholder[Int](17))\n }).fold(placeholder[Long](18), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](19)) })\n val coll10 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple10: (Coll[Byte], Int)) => (tuple10._1, tuple10._2.toLong * l9 / placeholder[Long](20)) })\n val coll11 = SELF.tokens(placeholder[Int](21))._1\n val coll12 = OUTPUTS.filter({(box12: Box) => box12.tokens.size > placeholder[Int](22) }).filter({(box12: Box) => box12.tokens(placeholder[Int](23))._1 == coll11 })\n val coll13 = coll12.map({(box13: Box) => box13.propositionBytes })\n val l14 = l4\n val coll15 = coll12.map({(box15: Box) => box15.tokens(placeholder[Int](24))._2 })\n val l16 = coll7.filter({(tuple16: (Coll[Byte], Coll[Long])) =>\n val coll18 = tuple16._2\n coll18(placeholder[Int](25)) < coll18(placeholder[Int](26))\n }).fold(placeholder[Long](27), {(tuple16: (Long, (Coll[Byte], Coll[Long]))) => tuple16._1 + tuple16._2._2(placeholder[Int](28)) })\n ((coll7.forall({(tuple17: (Coll[Byte], Coll[Long])) =>\n val coll19 = tuple17._1\n val i20 = coll8.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._1 }).indexOf(coll19, placeholder[Int](29))\n val coll21 = tuple17._2\n val l22 = {(l22: Long) => coll10.fold(l9, {(tuple24: (Long, (Coll[Byte], Long))) => tuple24._1 - tuple24._2._2 }) * l22 / coll7.fold(placeholder[Long](30), {(tuple24: (Long, (Coll[Byte], Coll[Long]))) => tuple24._1 + tuple24._2._2(placeholder[Int](31)) }) }(coll21(placeholder[Int](32)))\n val l23 = coll21(placeholder[Int](33))\n val i24 = coll13.indexOf(coll19, placeholder[Int](34))\n val l25 = coll21(placeholder[Int](35))\n if (i20 != placeholder[Int](36)) {(\n val l26 = coll8.map({(tuple26: (Coll[Byte], Coll[Long])) => tuple26._2 })(i20)(placeholder[Int](37)) + l22\n if (l26 >= l23) { if (i24 != placeholder[Int](38)) {(\n val func27 = func5\n func27((l26, coll15(i24))) && (l25 == placeholder[Long](39))\n )} else { placeholder[Boolean](40) } } else { (i24 == placeholder[Int](41)) && func5((l26, l25)) }\n )} else { if (l22 >= l23) { if (i24 != placeholder[Int](42)) { func5((l22, coll15(i24))) && (l25 == placeholder[Long](43)) } else { placeholder[Boolean](44) } } else { (i24 == placeholder[Int](45)) && func5((l22, l25)) } }\n }) && coll10.forall({(tuple17: (Coll[Byte], Long)) =>\n val l19 = tuple17._2\n if (l19 > placeholder[Long](46)) {(\n val i20 = coll13.indexOf(tuple17._1, placeholder[Int](47))\n if (i20 != placeholder[Int](48)) {(\n val box21 = coll12(i20)\n func6((l19, box21.tokens(placeholder[Int](49))._2)) && (box21.value == placeholder[Long](50))\n )} else { placeholder[Boolean](51) }\n )} else { placeholder[Boolean](52) }\n })) && if (l16 > placeholder[Long](53)) { coll12.exists({(box17: Box) => func6((l16, box17.tokens(placeholder[Int](54))._2)) && (box17.propositionBytes == coll2) }) } else { placeholder[Boolean](55) }) && coll3.forall({(box17: Box) => box17.tokens(placeholder[Int](56))._1 == coll11 })\n )} else { placeholder[Boolean](57) })\n}",
"address": "2x459aECGv9N81rY346AEZ7TdZgSEYZAZH99UDp9mii1yFfo9TUHvLeNJoXzfUjXYJP6ESKC2MVRcSZtVmhKVppPMn6857gNEcefko57Pukw1hyAoxmBK9YjT91T3wkBsF9i4BKQxiioho6RnZPFPVHdfwppj1ExTYqgzSedc2YwnFTp5njKtdKUfTAbEjyqDKdKf5YdJfjRar1adtEmJmBgaaZRn5K9BPyt7sNWBEWD5aQWsspHA1D57mFCbwBALU9Ae8YmxfvomJpfX31GHnNfwcBfpU7gMocWb7MbPcdnBYLyLgGJtXXQ2jvtWkEWRR9RzbSvUbM2pZ22QVdmyKC1hNuVf9dNmL5AVPhz3FtbBLKDrGzKjNRnpvnd93DJR4BYGTDhfzQVTHRQ5puSutpkXAgKe2APCe5AfUAUFzUSeHkFw1d1m75pAs3DRonvXP6Cuy4ABSeaXqxceniVvWje3G7E9zRFnjRZCSebGsmn2eHdbi5DHeqbZ8SGgEM5sYHD4ZWca4NWkERcak4jQjiNZSivAjvjTk9fQ5q7W296XU3snSq3uFpDHkx2Y6L4DCC5hfaD4tGYeja7gnKWSXnEbRgp3yxMkuR2YtjneJN1X7gWDkbAjReSXbox6kUGzKcTccDTD17Lk7mQpRjoiN8b1PeqLdMgEyxvuNQ4ADweipFNQUEF5abRBFm1WLxaJUP5VicWZqFKU7uhACYuMcSaxxmmprkVAYPoLUy8XEeqqZijZuNUzvYxeQfn8W2J145tDdqvvqJh6iVmCa7T1ndScdE1fqDjFF5Y1QATM52amD4f7Fgfo4yBsR8s9jQQekBPRgPABEzpAiSiF2QHfXTvUNQBMyWncuQm2423hrqZN4PSaZoYbzEnfgQ7sQLE8BginMZzjtj7mSektGtHtttinBCxJHDf8ND8bDFvoVS94WdQjVLu7Zbpbmou1X6iUN7i7PBPEDSXmeGusH11X9tmAo4unESX9NB1ivr2kFEZjn6beJUDiByL8uj9JgwSHQWvkb2FwGn1Hvsk9GNQcHWZ12HVrsEuY9wzS9hCc4fEeDJ9ALBrURJKN9qksHJL22px2tYS3yL5pXVxGkJmZAFBJAts8z14ji6uCyuyLxmC9dmiwxwpCxJAqBrQWM1CjUYBmxmX3dbCdjHibR7fPdNpfLM9jSZphvar4ufiUCzFBsVsB6CD71T2EbUG7PYn7dMhcJ8SEmfscRveCHu2EumCrRqrtmqP9RwX7myhnvYwP3JAfux5okYSAiCwgSxdDouPJLft9UnY1ZDs5FD826zzMBbaurnAGUJCbjGwhirGq9ZKZteVGp52FFLJmaRfiXnaUQyzXEkJZfUrYZUGi8xeyNSwHpZSqCgcWBrvK5AYWKnAZkgo7wqbtbKMKYhXje4mtg9TNwdbUNMQCuhqRUUVNhK2mKkxNztFbLWtLKCDopEVgVsAy",
"assets": [
{
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"index": 0,
"amount": 427147827,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "ec860b0fe3e043deef80dc1daeaf6287b5bb24b13a45a7b435a05dd510062ea8",
"mainChain": true
},
{
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"transactionId": "14b2d6ffa3b94eadeac928d52a43335361d7867d628b0cb1eff5bc9cb040a9f2",
"blockId": "62578ed490daffad1d9297fe276f77c92408dc64a7b359e8a79073a5ca2afd0f",
"value": 2000000,
"index": 11,
"globalIndex": 18624759,
"creationHeight": 784629,
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"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": "89252e989b30472526f20058a57d5e4136a35de8065c14265d35869eead494ab",
"mainChain": true
},
{
"boxId": "4d6fbefd3bf61dabbcc708e198d9882df8072b890ac5c496b456f5edafeb99ee",
"transactionId": "14b2d6ffa3b94eadeac928d52a43335361d7867d628b0cb1eff5bc9cb040a9f2",
"blockId": "62578ed490daffad1d9297fe276f77c92408dc64a7b359e8a79073a5ca2afd0f",
"value": 6000000,
"index": 12,
"globalIndex": 18624760,
"creationHeight": 784629,
"settlementHeight": 784639,
"ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
"address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
"assets": [
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 0,
"amount": 10,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "e21932a588c526fa9631f665c771fcff06ee2a628051f2a49debc23252cd29b3",
"mainChain": true
}
],
"size": 3017,
"isUnconfirmed": false
}