Transaction
ID: 6c4d4bc74e...5b5e
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0013788 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.22633312 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0013788 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.22523312 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 91,361
Total coins transferred: 0.22771192 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000324 ERG
Raw Transaction Data
{
"id": "6c4d4bc74e5ebb282442917e2aab499620284106a1bc0811573b11ba39025b5e",
"blockId": "2d694118156884a639c60ab6aded4b2a2a2a27dd82f73be2e042ebf96e725d6c",
"inclusionHeight": 1677952,
"timestamp": 1765776976576,
"index": 8,
"globalIndex": 9968250,
"numConfirmations": 91361,
"inputs": [
{
"boxId": "9d71f1a1c9f691ac90963a4f0cbebd598d98a77a99acd1fd75886311994fb557",
"value": 1378800,
"index": 0,
"spendingProof": null,
"outputBlockId": "ad242303ea3668d133291fa76f80176ed8f2849650c1dbb5bbf04e15b62a82be",
"outputTransactionId": "936761d9baa417765ec1efb4d2cae6313354dd75bc16fa11485e8cce80ae8c84",
"outputIndex": 0,
"outputGlobalIndex": 52262176,
"outputCreatedAt": 1677948,
"outputSettledAt": 1677950,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-1,78,94,30,-104,88,21,109,41,114,-109,43,-77,-97,108,-3,-10,48,44,-127,19,98,106,102,55,-126,-32,55,113,-69,96,126)\n2: 0\n3: 2\n4: 1\n5: 0\n6: 1\n7: 0\n8: 1\n9: 0\n10: true\n11: Coll(-2,-14,-112,124,-4,-5,-30,-63,-45,-8,-70,-70,-19,29,-49,72,92,-7,37,-77,-58,-15,-69,27,-83,-86,-48,-45,-80,-98,-93,78)\n12: 1\n13: 0\n14: false\n15: true\n16: 10\n17: false\n18: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n19: 0\n20: Coll(-126,-103,-39,-114,21,-21,-18,127,-93,-102,-41,22,-34,124,-117,-79,-111,121,10,27,-12,-73,-61,-7,26,-13,90,14,54,24,119,6)\n21: 0\n22: 0\n23: 1\n24: 1\n25: 0\n26: 1\n27: 2\n28: 3\n29: 3\n30: 4\n31: 4\n32: 5\n33: 20\n34: 0\n35: 0\n36: 1\n37: 3\n38: 1\n39: false\n40: false\n41: false\n42: 2\n43: 0\n44: 5\n45: 1000000\n46: 1000000\n47: Coll(-30,2,-17,8,63,13,87,-9,42,-104,-14,113,37,38,-126,-84,-91,-88,-102,-22,-96,-30,104,41,-102,-96,-20,-23,1,9,-127,-63)\n48: 1\n49: 1\n50: 2\n51: 30\n52: false\n53: 0\n54: 0\n55: 0\n56: 1000000\n57: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val coll5 = placeholder[Coll[Byte]](1)\n val coll6 = SELF.R6[Coll[Byte]].get\n val coll7 = Coll[Byte]()\n val coll8 = SELF.tokens(placeholder[Int](2))._1\n val tuple9 = SELF.R5[(Coll[Byte], Long)].get\n val coll10 = tuple9._1\n val l11 = coll3(placeholder[Int](3))\n val coll12 = SELF.R9[Coll[Coll[Byte]]].get\n val coll13 = coll12(placeholder[Int](4))\n val bool14 = coll13 == coll7\n val func15 = {(box15: Box) =>\n if (bool14) { box15.value } else {\n box15.tokens.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll13 }).fold(\n placeholder[Long](5), {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 + tuple17._2._2 }\n )\n }\n }\n val l16 = coll3(placeholder[Int](6))\n val coll17 = SELF.R7[Coll[Coll[Byte]]].get\n val l18 = tuple9._2\n sigmaProp((i1 == placeholder[Int](7)) && ((if (l2 >= l4) {(\n val coll19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == coll5 })\n if (coll19.size == placeholder[Int](8)) {(\n val box20 = coll19(placeholder[Int](9))\n val tuple21 = box20.R6[(Coll[Byte], Coll[Byte])].get\n val coll22 = tuple21._1\n val coll23 = tuple21._2\n if (((blake2b256(coll22) == coll6) && (blake2b256(box20.propositionBytes) == coll5)) && if (coll23 == coll7) { placeholder[Boolean](10) } else {(\n val coll24 = CONTEXT.dataInputs.filter({(box24: Box) => ((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](11)) && (box24.R6[Coll[Byte]].get == coll8)) && (box24.R5[Coll[Byte]].get == coll23) })\n if (coll24.size == placeholder[Int](12)) {(\n val box25 = coll24(placeholder[Int](13))\n val coll26 = box25.R9[Coll[Long]].get\n ((coll26.fold(placeholder[Boolean](14), {(tuple27: (Boolean, Long)) =>\n val bool29 = tuple27._1\n if (bool29) { bool29 } else { if (blake2b256(box25.R7[Coll[Byte]].get.append(coll10).append(longToByteArray(tuple27._2)).append(box25.R8[Coll[Byte]].get).append(box25.R4[Coll[Byte]].get).append(coll22)) == box25.R5[Coll[Byte]].get) { placeholder[Boolean](15) } else { bool29 } }\n }) && if (bool14) { box25.value >= l11 } else { box25.tokens.exists({(tuple27: (Coll[Byte], Long)) => (tuple27._1 == coll13) && (tuple27._2 >= l11) }) }) && (box25.creationInfo._1.toLong < l4)) && (coll26.size.toLong <= placeholder[Long](16))\n )} else { placeholder[Boolean](17) }\n )}) {(\n val coll24 = CONTEXT.dataInputs.filter({(box24: Box) => ((((((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](18)) && (box24.tokens.size > placeholder[Int](19))) && (box24.R4[Coll[Byte]].get == placeholder[Coll[Byte]](20))) && (box24.R5[Coll[Byte]].get == coll8)) && box24.R6[Boolean].get) && box24.R8[Boolean].get) && coll17.exists({(coll26: Coll[Byte]) => coll26 == box24.tokens(placeholder[Int](21))._1 }) })\n val coll25 = coll24.map({(box25: Box) => box25.tokens(placeholder[Int](22))._1 })\n ((((((((((((((func15(box20) >= l16) && (box20.tokens.filter({(tuple26: (Coll[Byte], Long)) => tuple26._1 == coll8 }).size == placeholder[Int](23))) && (box20.R4[Int].get == placeholder[Int](24))) && (box20.R5[Coll[Byte]].get == coll10)) && (box20.R7[Coll[Coll[Byte]]].get == coll17)) && (box20.R8[Coll[Long]].get(placeholder[Int](25)) == l4)) && (box20.R8[Coll[Long]].get(placeholder[Int](26)) == l16)) && (box20.R8[Coll[Long]].get(placeholder[Int](27)) == l11)) && (box20.R8[Coll[Long]].get(placeholder[Int](28)) == coll3(placeholder[Int](29)))) && (box20.R8[Coll[Long]].get(placeholder[Int](30)) >= coll3(placeholder[Int](31)))) && (box20.R8[Coll[Long]].get(placeholder[Int](32)) >= l2 + placeholder[Long](33))) && (box20.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == coll12(placeholder[Int](35)))) && (box20.R9[Coll[Coll[Byte]]].get(placeholder[Int](36)) == coll13)) && (box20.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](37))) && coll25.indices.forall({(i26: Int) => !coll25.slice(i26 + placeholder[Int](38), coll24.size).exists({(coll28: Coll[Byte]) => coll28 == coll25(i26) }) })\n )} else { placeholder[Boolean](39) }\n )} else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } || if ((l2 < l4) && (OUTPUTS.size >= placeholder[Int](42))) {(\n val box19 = OUTPUTS(placeholder[Int](43))\n val l20 = l16 - l16 / placeholder[Long](44)\n val l21 = if (bool14) { if (l20 < placeholder[Long](45)) { placeholder[Long](46) } else { l20 } } else { l20 }\n ((((((((blake2b256(box19.propositionBytes) == placeholder[Coll[Byte]](47)) && (func15(box19) >= l21)) && (box19.tokens.filter({(tuple22: (Coll[Byte], Long)) => (tuple22._1 == coll8) && (tuple22._2 == placeholder[Long](48)) }).size == placeholder[Int](49))) && (box19.R4[Int].get == placeholder[Int](50))) && (box19.R5[Long].get >= l2 + placeholder[Long](51))) && (blake2b256(box19.R6[Coll[Byte]].get) == coll6)) && (box19.R7[Long].get == l21)) && (box19.R8[Long].get == l4)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)\n )} else { placeholder[Boolean](52) }) || if ((l2 < l18) && (OUTPUTS.size > placeholder[Int](53))) {(\n val box19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](54))\n val l20 = box19.value\n val tuple21 = box19.R5[(Coll[Byte], Long)].get\n ((((((((box19.tokens(placeholder[Int](55))._1 == coll8) && ((l20 >= placeholder[Long](56)) && (l20 == SELF.value))) && (tuple21._1 == blake2b256(coll10.append(SELF.id)))) && (tuple21._2 == l18)) && (box19.R4[Int].get == i1)) && (box19.R6[Coll[Byte]].get == coll6)) && (box19.R7[Coll[Coll[Byte]]].get == coll17)) && (box19.R8[Coll[Long]].get == coll3)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)\n )} else { placeholder[Boolean](57) }))\n}",
"address": "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",
"assets": [
{
"tokenId": "3d1ecd4693f6e7c9cbbfb08793ae0851b22f84942f27bc1fcf580c631929be88",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 400,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e08ee95db2d6bdc519282eacc01",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[ee95db2d6bdc5192,1677953]"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "110596eacc01a006f0010000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1677963,400,120,0,0]"
},
"R7": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "1a02b3017b227469746c65223a2254455354205631222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d2c22696e64657465726d69736d496e646578223a317d20aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7b227469746c65223a2254455354205631222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d2c22696e64657465726d69736d496e646578223a317d,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71]"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
},
{
"boxId": "f9690926ba7bd35da5bd3a544c7c0ac05cab06c22d876114620d55025457b97f",
"value": 226333120,
"index": 1,
"spendingProof": "2eb83810a6f8a14f058bbaf3bdabafb9f0cfe75d1a9b7e7460836be0cfd7776b38f6bdf42a2fa52646073bed2298b26594a589d931b7e6b1",
"outputBlockId": "ad242303ea3668d133291fa76f80176ed8f2849650c1dbb5bbf04e15b62a82be",
"outputTransactionId": "936761d9baa417765ec1efb4d2cae6313354dd75bc16fa11485e8cce80ae8c84",
"outputIndex": 2,
"outputGlobalIndex": 52262178,
"outputCreatedAt": 1677948,
"outputSettledAt": 1677950,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 0,
"amount": 95836032,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "50373affe7e34eb809206a245ed30e18e703e179a9dac4ce91f09aa3edbcad6e",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "6323c318a31826d2fab785c6f8c76b15e0f4a5671be869c3bcba7609c901bb5e",
"index": 2,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "dfa24af306c5023520b808563aa9325793ecd1c67e73f75d9476ccf678520194",
"index": 3,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "6aed4eb8f84c6405e7a21de242a76ad95ed6c58adcc177be4aa38cd3a499c7d1",
"index": 4,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "bc5bf1dcb5ac6b1729fdb7d8ab4422d1d4d96ba10b32c3f6a00deb514fdecbf9",
"index": 5,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "098a7f3ae6bb17ad257217fb06565769a8f5002f69657fb67cca00fcc12f44ec",
"index": 6,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 7,
"amount": 999899771025,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "768acd3e78d41e8b7aeccbd247d148fe8fc2347e000b79fbf1739b7791710f7e",
"index": 8,
"amount": 1000,
"name": "21:01 - 23 - Nov APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "e5334cee2aee681039c10ea0cb3895fb9b88f4c161b6059a8759bc658710ae68",
"index": 9,
"amount": 240,
"name": "Test ERG 22 Nov APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "50f7276d622ac22873b0c6dfee16146084e894c2ab2aa5631e2f60efb9957f18",
"index": 10,
"amount": 98819100,
"name": "TGD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "94debade76728e23e43245729ec37785c7ea504e519f56ad9441d057f19070b3",
"index": 11,
"amount": 1,
"name": "Project 10-nov-1229 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "3ceab5099a316474366adac26b0a8f90afa611c8ed7316f4ace087c304d7200c",
"index": 12,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "81e1d04b6afdcfadf056c0bd4ea4e154a12d60d48959bb1e0f4b0dc36602cfaf",
"index": 13,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "961d9f245de3af73a3a8a700bf72566f1f8904e6c5d8e21598dfad35a324e389",
"index": 14,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "e39a0caed9cb88e696d61057cdd54834e979e6adaa1f6537da162d05da6f7d0c",
"index": 15,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "a0dda03db7197b89365b75b33c7488a5ee7908c8a28a36fa1b5c676a2b50d905",
"index": 16,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "ac0bcdb8129f912eb367d28c419a219d29a7159d22e8f2dbb6176e05a7316342",
"index": 17,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "1445e0c5a021293aa4a1aeff00782302ee281979c372ce508b7f584a6ffba61f",
"index": 18,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "8821752e5972bcf3cb98f1a19f13e7fe440cccbe4facf3a234b6b838cc70be84",
"index": 19,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "70d0e8e56699ca4c61488f421d9eda77e77e180b7ec94115a2b325f36d5984d7",
"index": 20,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "469632d31f1762c604fb5605f17a6a3acea25dc0c0acd9ed9c99a9657a39ef13",
"index": 21,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 22,
"amount": 61056,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 23,
"amount": 4003,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
"index": 24,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
"tokenId": "a6b3df8edc3223975b49247b425e69a85cb45f3c7a94668ba89c890f2f0d2194",
"index": 25,
"amount": 6000,
"name": "TEST DEV 50 PERCENT APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "2293d454406cc0f3b6a7c63db90fc989b4065204d4b101f8fe155d1d65c283ff",
"index": 26,
"amount": 10000,
"name": "TEST FULL WITHDRAW V3 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "950e6f63aab88d72048da7d561efcb1bad568bc7a82fe3cc26ea729619cc3d9f",
"index": 27,
"amount": 7000,
"name": "Test project for 1.2 V1 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "ebb40ecab7bb7d2a935024100806db04f44c62c33ae9756cf6fc4cb6b9aa2d12",
"index": 28,
"amount": 1,
"name": "🚬",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ef0199cb118810aa3b35b5b071d2f417bdc6c27e985bbd425a1f04d31a12a59b",
"index": 29,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "44f3f0b7ebb5369965908aaa586ed811f62c1688e6ae375b7af523cba0027ea6",
"index": 30,
"amount": 37,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "357d59abf7fbfb46fa73faa4f0898475b24713e2fc8311dab37d5b87dfb72392",
"index": 31,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "6236c29eb679e644342f6c606b0fc44ab1adfc782ad0f66bf57ef3002d96e236",
"index": 32,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "3c7b0b07c1f6be6f21c617db4ad45499ecd7283fe4de08dec3a7117a4663ebe0",
"index": 33,
"amount": 95000,
"name": "BeneSpace",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "3a37bdc6364544fc926fc3d914a4e25c91cf5bb2b9c754bc7f0f6184595b9025",
"index": 34,
"amount": 9999900,
"name": "fakeBTC",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "192a3b6a3f0fec229017d5d7caf3ca484f6f254ad857f7feffea2e82b9367eb5",
"index": 35,
"amount": 152301,
"name": "FALCON",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "687fd56baf59225ef3e5dbd8bd2ba240081ba1b0fd320322f434551d0a509249",
"index": 36,
"amount": 23398,
"name": "FALCON Test Project APT",
"decimals": 5,
"type": "EIP-004"
},
{
"tokenId": "322a090ccd17f3f94ff8294410bdebec87723a3a50774113219009d2ac8eadbc",
"index": 37,
"amount": 100,
"name": "TEST TIMESTAMP 17:05 APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "36baf7010ff975982f745494d3f441527c9c4b1f26b1729386cf6c3e058a6195",
"index": 38,
"amount": 1,
"name": "TEST V2 APT",
"decimals": 5,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "9a2e5841cef4c1cbacc67d9904842ab74af6b91056eaa7aada1b6abb75532165",
"transactionId": "6c4d4bc74e5ebb282442917e2aab499620284106a1bc0811573b11ba39025b5e",
"blockId": "2d694118156884a639c60ab6aded4b2a2a2a27dd82f73be2e042ebf96e725d6c",
"value": 1378800,
"index": 0,
"globalIndex": 52262214,
"creationHeight": 1677951,
"settlementHeight": 1677952,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-1,78,94,30,-104,88,21,109,41,114,-109,43,-77,-97,108,-3,-10,48,44,-127,19,98,106,102,55,-126,-32,55,113,-69,96,126)\n2: 0\n3: 2\n4: 1\n5: 0\n6: 1\n7: 0\n8: 1\n9: 0\n10: true\n11: Coll(-2,-14,-112,124,-4,-5,-30,-63,-45,-8,-70,-70,-19,29,-49,72,92,-7,37,-77,-58,-15,-69,27,-83,-86,-48,-45,-80,-98,-93,78)\n12: 1\n13: 0\n14: false\n15: true\n16: 10\n17: false\n18: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n19: 0\n20: Coll(-126,-103,-39,-114,21,-21,-18,127,-93,-102,-41,22,-34,124,-117,-79,-111,121,10,27,-12,-73,-61,-7,26,-13,90,14,54,24,119,6)\n21: 0\n22: 0\n23: 1\n24: 1\n25: 0\n26: 1\n27: 2\n28: 3\n29: 3\n30: 4\n31: 4\n32: 5\n33: 20\n34: 0\n35: 0\n36: 1\n37: 3\n38: 1\n39: false\n40: false\n41: false\n42: 2\n43: 0\n44: 5\n45: 1000000\n46: 1000000\n47: Coll(-30,2,-17,8,63,13,87,-9,42,-104,-14,113,37,38,-126,-84,-91,-88,-102,-22,-96,-30,104,41,-102,-96,-20,-23,1,9,-127,-63)\n48: 1\n49: 1\n50: 2\n51: 30\n52: false\n53: 0\n54: 0\n55: 0\n56: 1000000\n57: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val coll5 = placeholder[Coll[Byte]](1)\n val coll6 = SELF.R6[Coll[Byte]].get\n val coll7 = Coll[Byte]()\n val coll8 = SELF.tokens(placeholder[Int](2))._1\n val tuple9 = SELF.R5[(Coll[Byte], Long)].get\n val coll10 = tuple9._1\n val l11 = coll3(placeholder[Int](3))\n val coll12 = SELF.R9[Coll[Coll[Byte]]].get\n val coll13 = coll12(placeholder[Int](4))\n val bool14 = coll13 == coll7\n val func15 = {(box15: Box) =>\n if (bool14) { box15.value } else {\n box15.tokens.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll13 }).fold(\n placeholder[Long](5), {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 + tuple17._2._2 }\n )\n }\n }\n val l16 = coll3(placeholder[Int](6))\n val coll17 = SELF.R7[Coll[Coll[Byte]]].get\n val l18 = tuple9._2\n sigmaProp((i1 == placeholder[Int](7)) && ((if (l2 >= l4) {(\n val coll19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == coll5 })\n if (coll19.size == placeholder[Int](8)) {(\n val box20 = coll19(placeholder[Int](9))\n val tuple21 = box20.R6[(Coll[Byte], Coll[Byte])].get\n val coll22 = tuple21._1\n val coll23 = tuple21._2\n if (((blake2b256(coll22) == coll6) && (blake2b256(box20.propositionBytes) == coll5)) && if (coll23 == coll7) { placeholder[Boolean](10) } else {(\n val coll24 = CONTEXT.dataInputs.filter({(box24: Box) => ((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](11)) && (box24.R6[Coll[Byte]].get == coll8)) && (box24.R5[Coll[Byte]].get == coll23) })\n if (coll24.size == placeholder[Int](12)) {(\n val box25 = coll24(placeholder[Int](13))\n val coll26 = box25.R9[Coll[Long]].get\n ((coll26.fold(placeholder[Boolean](14), {(tuple27: (Boolean, Long)) =>\n val bool29 = tuple27._1\n if (bool29) { bool29 } else { if (blake2b256(box25.R7[Coll[Byte]].get.append(coll10).append(longToByteArray(tuple27._2)).append(box25.R8[Coll[Byte]].get).append(box25.R4[Coll[Byte]].get).append(coll22)) == box25.R5[Coll[Byte]].get) { placeholder[Boolean](15) } else { bool29 } }\n }) && if (bool14) { box25.value >= l11 } else { box25.tokens.exists({(tuple27: (Coll[Byte], Long)) => (tuple27._1 == coll13) && (tuple27._2 >= l11) }) }) && (box25.creationInfo._1.toLong < l4)) && (coll26.size.toLong <= placeholder[Long](16))\n )} else { placeholder[Boolean](17) }\n )}) {(\n val coll24 = CONTEXT.dataInputs.filter({(box24: Box) => ((((((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](18)) && (box24.tokens.size > placeholder[Int](19))) && (box24.R4[Coll[Byte]].get == placeholder[Coll[Byte]](20))) && (box24.R5[Coll[Byte]].get == coll8)) && box24.R6[Boolean].get) && box24.R8[Boolean].get) && coll17.exists({(coll26: Coll[Byte]) => coll26 == box24.tokens(placeholder[Int](21))._1 }) })\n val coll25 = coll24.map({(box25: Box) => box25.tokens(placeholder[Int](22))._1 })\n ((((((((((((((func15(box20) >= l16) && (box20.tokens.filter({(tuple26: (Coll[Byte], Long)) => tuple26._1 == coll8 }).size == placeholder[Int](23))) && (box20.R4[Int].get == placeholder[Int](24))) && (box20.R5[Coll[Byte]].get == coll10)) && (box20.R7[Coll[Coll[Byte]]].get == coll17)) && (box20.R8[Coll[Long]].get(placeholder[Int](25)) == l4)) && (box20.R8[Coll[Long]].get(placeholder[Int](26)) == l16)) && (box20.R8[Coll[Long]].get(placeholder[Int](27)) == l11)) && (box20.R8[Coll[Long]].get(placeholder[Int](28)) == coll3(placeholder[Int](29)))) && (box20.R8[Coll[Long]].get(placeholder[Int](30)) >= coll3(placeholder[Int](31)))) && (box20.R8[Coll[Long]].get(placeholder[Int](32)) >= l2 + placeholder[Long](33))) && (box20.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == coll12(placeholder[Int](35)))) && (box20.R9[Coll[Coll[Byte]]].get(placeholder[Int](36)) == coll13)) && (box20.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](37))) && coll25.indices.forall({(i26: Int) => !coll25.slice(i26 + placeholder[Int](38), coll24.size).exists({(coll28: Coll[Byte]) => coll28 == coll25(i26) }) })\n )} else { placeholder[Boolean](39) }\n )} else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } || if ((l2 < l4) && (OUTPUTS.size >= placeholder[Int](42))) {(\n val box19 = OUTPUTS(placeholder[Int](43))\n val l20 = l16 - l16 / placeholder[Long](44)\n val l21 = if (bool14) { if (l20 < placeholder[Long](45)) { placeholder[Long](46) } else { l20 } } else { l20 }\n ((((((((blake2b256(box19.propositionBytes) == placeholder[Coll[Byte]](47)) && (func15(box19) >= l21)) && (box19.tokens.filter({(tuple22: (Coll[Byte], Long)) => (tuple22._1 == coll8) && (tuple22._2 == placeholder[Long](48)) }).size == placeholder[Int](49))) && (box19.R4[Int].get == placeholder[Int](50))) && (box19.R5[Long].get >= l2 + placeholder[Long](51))) && (blake2b256(box19.R6[Coll[Byte]].get) == coll6)) && (box19.R7[Long].get == l21)) && (box19.R8[Long].get == l4)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)\n )} else { placeholder[Boolean](52) }) || if ((l2 < l18) && (OUTPUTS.size > placeholder[Int](53))) {(\n val box19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](54))\n val l20 = box19.value\n val tuple21 = box19.R5[(Coll[Byte], Long)].get\n ((((((((box19.tokens(placeholder[Int](55))._1 == coll8) && ((l20 >= placeholder[Long](56)) && (l20 == SELF.value))) && (tuple21._1 == blake2b256(coll10.append(SELF.id)))) && (tuple21._2 == l18)) && (box19.R4[Int].get == i1)) && (box19.R6[Coll[Byte]].get == coll6)) && (box19.R7[Coll[Coll[Byte]]].get == coll17)) && (box19.R8[Coll[Long]].get == coll3)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)\n )} else { placeholder[Boolean](57) }))\n}",
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"sigmaType": "(Coll[SByte], SLong)",
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},
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{
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"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)}",
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
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