Transaction
ID: 82cd8a73e8...70fb
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.38765 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.199 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.199 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.38565 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 953,191
Total coins transferred: 0.58665 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000685 ERG
Raw Transaction Data
{
"id": "82cd8a73e8e992e7af72f2c7e633d6c863c461d0369dc4452600f0c8b27b70fb",
"blockId": "fd2f14c416c7d2f581e901850c0bcec2afab2b8df85c4ff650f6a55118421ce1",
"inclusionHeight": 808451,
"timestamp": 1659629827030,
"index": 14,
"globalIndex": 3684175,
"numConfirmations": 953191,
"inputs": [
{
"boxId": "9a856bf347dd7e8f753380be2c9a5691a8ab6be7bf6c5b2337aa772d9831fe85",
"value": 387650000,
"index": 0,
"spendingProof": "7c648a2ff1dd5de93486a654454ce447c1dba3cae9104e18e7812cf57c02b5c0127407cd24c98e6c83e1a93de3f5bc41a66a4dea29df5017",
"outputBlockId": "6299d895b9d7debc49a7ff5afba1fd5aa749465f222fd38cedb3b12a657a2151",
"outputTransactionId": "87ba6cab97a922db5aa392ab2f1375e6eb1f6fccd68fd9a32beb9b05e594646d",
"outputIndex": 2,
"outputGlobalIndex": 19840737,
"outputCreatedAt": 808437,
"outputSettledAt": 808439,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
"tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
"index": 0,
"amount": 6,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "ef66ef7649e0d6175d309f4c5dd1b756b6c9b89f14bd6f7a08d115a7a753c3e8",
"value": 199000000,
"index": 1,
"spendingProof": "f9ebc5a4feae88a9f4d81883a82ecdb4cc84694c72c3e40f71fd011ee60767757180df609dbe3bff4f5fa0ff1e0c7e59cdc809f647c68ddd",
"outputBlockId": "6299d895b9d7debc49a7ff5afba1fd5aa749465f222fd38cedb3b12a657a2151",
"outputTransactionId": "87ba6cab97a922db5aa392ab2f1375e6eb1f6fccd68fd9a32beb9b05e594646d",
"outputIndex": 0,
"outputGlobalIndex": 19840735,
"outputCreatedAt": 808437,
"outputSettledAt": 808439,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 0\n74: 2\n75: 2\n76: 3\n77: 0\n78: 0\n79: 0\n80: 2\n81: 1\n82: 0\n83: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n84: 0\n85: 0\n86: 1\n87: false\n88: false\n89: false\n90: 2\n91: 3\n92: 1000\n93: 1000000\n94: 0\n95: 2\n96: 2\n97: 2\n98: 0\n99: 0\n100: 2\n101: 0\n102: 0\n103: 0\n104: false\n105: false\n106: false\n107: 1\n108: 4\n109: 2\n110: 0\n111: 3\n112: 0\n113: 1\n114: 2\n115: 0\n116: 1\n117: 2\n118: 3\n119: 1\n120: 3\n121: 0\n122: 1\n123: 2\n124: 0\n125: 1\n126: 2\n127: 3\n128: false\n129: false\n130: false\n131: 3\n132: 0\n133: 0\n134: 0\n135: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = box1.R6[Coll[Long]].get\n val l5 = coll4(placeholder[Int](2))\n val l6 = placeholder[Long](3) + l5\n val func7 = {(i7: Int) =>\n val box9 = OUTPUTS(i7)\n if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n val coll10 = box9.tokens\n if (coll10.size == placeholder[Int](4)) {(\n val tuple11 = coll10(placeholder[Int](5))\n (\n (\n (\n (\n (\n (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n )\n ) && box9.R6[SigmaProp].isDefined\n ) && box9.R7[Long].isDefined\n ) && box9.R8[Long].isDefined\n ) && box9.R9[Long].isDefined\n ) && (box9.value >= l6)\n )} else { placeholder[Boolean](8) }\n )} else { placeholder[Boolean](9) }\n }\n val bool8 = func7(placeholder[Int](10))\n val coll9 = placeholder[SigmaProp](11).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](12))\n val l12 = SELF.R7[Long].get\n val l13 = SELF.R8[Long].get\n val box14 = OUTPUTS(placeholder[Int](13))\n val coll15 = box14.tokens\n val coll16 = SELF.R4[Coll[Byte]].get\n val coll17 = SELF.R5[Coll[Long]].get\n val l18 = coll17(placeholder[Int](14))\n val l19 = coll17(placeholder[Int](15))\n val l20 = coll17(placeholder[Int](16))\n val l21 = coll17(placeholder[Int](17))\n val l22 = SELF.R9[Long].get\n val l23 = box14.value\n val func24 = {(i24: Int) =>\n val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n (((coll26(placeholder[Int](18)) == l18) && (coll26(placeholder[Int](19)) == l19)) && (coll26(placeholder[Int](20)) == l20)) && (\n coll26(placeholder[Int](21)) == l21\n )\n }\n val bool25 = l23 == l10\n val bool26 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n (\n (\n (\n (\n ((bool25 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](26))\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](27))\n ) && (box14.R8[Long].get == placeholder[Long](28))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](29) }\n val bool27 = func7(placeholder[Int](30))\n val bool28 = box14.R4[Coll[Byte]].get == coll16\n val box29 = OUTPUTS(placeholder[Int](31))\n val bool30 = box29.propositionBytes == coll9\n val i31 = OUTPUTS.size\n sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box32 = OUTPUTS(placeholder[Int](35))\n val l33 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box32.propositionBytes == coll9) {(\n val coll34 = box32.tokens\n (((((coll34.size == placeholder[Int](38)) && (coll34(placeholder[Int](39))._1 == coll3)) && (coll34(placeholder[Int](40))._2 == placeholder[Long](41))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l33 - l5)\n )} else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n val box32 = OUTPUTS(placeholder[Int](49))\n val l33 = box14.value\n val l34 = l10 - l33\n if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l33 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](54)) == l18) && (coll37(placeholder[Int](55)) == l19)) && (coll37(placeholder[Int](56)) == l20)) && (coll37(placeholder[Int](57)) == l21)\n }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { (((((((l23 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n val l32 = box14.R7[Long].get\n (l32 == placeholder[Long](70)) || ((l32 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](73))) {\n if (i31 > placeholder[Int](74)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](75)) == l20)) && (\n box14.R5[Coll[Long]].get(placeholder[Int](76)) == l21\n )\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](77))\n ) && (box14.R8[Long].get == placeholder[Long](78))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](79))._2 == placeholder[Long](80))\n ) && (box29.tokens.size == placeholder[Int](81))\n ) && (box29.tokens(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83))\n ) && \n val coll32 = box14.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](84))._2 >= coll32(placeholder[Int](85)) + coll32(placeholder[Int](86)) - l18 + l19\n \n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) }\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](90))) && (!bool26)) {\n if (i31 > placeholder[Int](91)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l13 * l11 / placeholder[Long](92), placeholder[Long](93))) && (box29.tokens.size == placeholder[Int](94))\n ) && (OUTPUTS(placeholder[Int](95)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](96)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](97)).tokens.size == placeholder[Int](98))\n ) && bool25\n ) && (coll15(placeholder[Int](99))._2 == placeholder[Long](100))\n ) && bool28\n ) && func24(placeholder[Int](101))\n ) && (box14.R7[Long].get == placeholder[Long](102))\n ) && (box14.R8[Long].get == placeholder[Long](103))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](104) }\n } else { placeholder[Boolean](105) }\n } else { placeholder[Boolean](106) } || if ((bool8 && bool27) && (l12 == placeholder[Long](107))) { if (i31 >= placeholder[Int](108)) {(\n val box32 = OUTPUTS(placeholder[Int](109))\n if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](110))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](111))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](112))._2 == placeholder[Long](113))) && (box32.value >= placeholder[Long](114) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](115)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](116)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](119))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](120))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))) && (box32.value >= placeholder[Long](123) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](124)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](125)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l21)) } else { placeholder[Boolean](128) }\n )} else { placeholder[Boolean](129) } } else { placeholder[Boolean](130) }\n ) || if ((bool8 && bool27) && (l12 == placeholder[Long](131))) {\n (\n (\n (\n ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n box29.R8[Long].get == placeholder[Long](137)\n )\n ) && (box29.R9[Long].get == l22)\n ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n )\n } else { placeholder[Boolean](140) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110402020a08",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,5,4]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "050c",
"sigmaType": "SLong",
"renderedValue": "6"
},
"R4": {
"serializedValue": "0ed70143686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "43686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a"
}
}
}
],
"dataInputs": [
{
"boxId": "ac049ccaa1c7c954a513ca24c01deaa7c61f682f546b0932b181b91450cb5dce",
"value": 1000000,
"index": 0,
"outputBlockId": "a2fb7dc2b4549a1887c518100f7e5ba60d70fc5eedbba273d353cc833c1c610f",
"outputTransactionId": "a4e3ed4bd33089db7d6eae67aa8f777a4da36f7b87794ba9beea97bd4dbeaadd",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2077e75cdf11f9f82d9a7ae7f468ce60bd8cd965bb8f6f4979d3e0d78a10e4186a",
"sigmaType": "Coll[SByte]",
"renderedValue": "77e75cdf11f9f82d9a7ae7f468ce60bd8cd965bb8f6f4979d3e0d78a10e4186a"
},
"R5": {
"serializedValue": "0e2036c7be88db045bffc7f00f4605883243da29205dee2327060c88ae963b561e94",
"sigmaType": "Coll[SByte]",
"renderedValue": "36c7be88db045bffc7f00f4605883243da29205dee2327060c88ae963b561e94"
},
"R6": {
"serializedValue": "1104148092f4010206",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,2000000,1,3]"
}
}
}
],
"outputs": [
{
"boxId": "5c3ef09b0cb8b771a3285256d24e8b5e39e2ce47828dcc9431fdfbc7232898c5",
"transactionId": "82cd8a73e8e992e7af72f2c7e633d6c863c461d0369dc4452600f0c8b27b70fb",
"blockId": "fd2f14c416c7d2f581e901850c0bcec2afab2b8df85c4ff650f6a55118421ce1",
"value": 199000000,
"index": 0,
"globalIndex": 19841218,
"creationHeight": 808448,
"settlementHeight": 808451,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(58,-92,13,-97,-10,-19,-106,91,10,126,-40,-97,45,-57,90,93,4,12,-60,121,99,108,-104,83,30,-107,5,-26,-11,104,-75,122)\n2: 1\n3: 2000000\n4: 1\n5: 0\n6: 1\n7: 4\n8: false\n9: false\n10: 0\n11: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n12: 0\n13: 0\n14: 0\n15: 1\n16: 2\n17: 3\n18: 0\n19: 1\n20: 2\n21: 3\n22: 1\n23: 2\n24: 0\n25: 2\n26: 0\n27: 0\n28: 0\n29: false\n30: 1\n31: 1\n32: 0\n33: Coll(9,-17,108,-109,-58,-2,37,52,-42,-72,64,-56,82,74,23,63,-22,43,124,-79,-69,12,28,31,15,115,-99,-61,16,-26,-47,11)\n34: 2\n35: 0\n36: 1000\n37: 1000000\n38: 1\n39: 0\n40: 0\n41: 2\n42: 1\n43: 1\n44: false\n45: false\n46: 0\n47: 0\n48: 2\n49: 1\n50: 1000\n51: 1000000\n52: 0\n53: 2\n54: 0\n55: 1\n56: 2\n57: 3\n58: 0\n59: 0\n60: 0\n61: 0\n62: false\n63: false\n64: false\n65: 0\n66: 0\n67: 0\n68: 2\n69: 0\n70: 2\n71: 1\n72: false\n73: 0\n74: 2\n75: 2\n76: 3\n77: 0\n78: 0\n79: 0\n80: 2\n81: 1\n82: 0\n83: Coll(37,-22,5,82,61,-59,72,55,-22,94,37,90,-126,53,-99,-92,-15,-106,-101,-38,-107,-54,-70,-19,91,6,79,20,117,45,25,1)\n84: 0\n85: 0\n86: 1\n87: false\n88: false\n89: false\n90: 2\n91: 3\n92: 1000\n93: 1000000\n94: 0\n95: 2\n96: 2\n97: 2\n98: 0\n99: 0\n100: 2\n101: 0\n102: 0\n103: 0\n104: false\n105: false\n106: false\n107: 1\n108: 4\n109: 2\n110: 0\n111: 3\n112: 0\n113: 1\n114: 2\n115: 0\n116: 1\n117: 2\n118: 3\n119: 1\n120: 3\n121: 0\n122: 1\n123: 2\n124: 0\n125: 1\n126: 2\n127: 3\n128: false\n129: false\n130: false\n131: 3\n132: 0\n133: 0\n134: 0\n135: 2\n136: 0\n137: 0\n138: 0\n139: 2\n140: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = box1.R6[Coll[Long]].get\n val l5 = coll4(placeholder[Int](2))\n val l6 = placeholder[Long](3) + l5\n val func7 = {(i7: Int) =>\n val box9 = OUTPUTS(i7)\n if (blake2b256(box9.propositionBytes) == box1.R4[Coll[Byte]].get) {(\n val coll10 = box9.tokens\n if (coll10.size == placeholder[Int](4)) {(\n val tuple11 = coll10(placeholder[Int](5))\n (\n (\n (\n (\n (\n (((tuple11._1 == coll3) && (tuple11._2 >= placeholder[Long](6))) && box9.R4[Coll[Byte]].isDefined) && (\n box9.R5[Coll[Long]].get.size == placeholder[Int](7)\n )\n ) && box9.R6[SigmaProp].isDefined\n ) && box9.R7[Long].isDefined\n ) && box9.R8[Long].isDefined\n ) && box9.R9[Long].isDefined\n ) && (box9.value >= l6)\n )} else { placeholder[Boolean](8) }\n )} else { placeholder[Boolean](9) }\n }\n val bool8 = func7(placeholder[Int](10))\n val coll9 = placeholder[SigmaProp](11).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](12))\n val l12 = SELF.R7[Long].get\n val l13 = SELF.R8[Long].get\n val box14 = OUTPUTS(placeholder[Int](13))\n val coll15 = box14.tokens\n val coll16 = SELF.R4[Coll[Byte]].get\n val coll17 = SELF.R5[Coll[Long]].get\n val l18 = coll17(placeholder[Int](14))\n val l19 = coll17(placeholder[Int](15))\n val l20 = coll17(placeholder[Int](16))\n val l21 = coll17(placeholder[Int](17))\n val l22 = SELF.R9[Long].get\n val l23 = box14.value\n val func24 = {(i24: Int) =>\n val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n (((coll26(placeholder[Int](18)) == l18) && (coll26(placeholder[Int](19)) == l19)) && (coll26(placeholder[Int](20)) == l20)) && (\n coll26(placeholder[Int](21)) == l21\n )\n }\n val bool25 = l23 == l10\n val bool26 = if (bool8 && ((l12 == placeholder[Long](22)) || (l12 == placeholder[Long](23)))) {\n (\n (\n (\n (\n ((bool25 && (coll15(placeholder[Int](24))._2 == placeholder[Long](25))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](26))\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](27))\n ) && (box14.R8[Long].get == placeholder[Long](28))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](29) }\n val bool27 = func7(placeholder[Int](30))\n val bool28 = box14.R4[Coll[Byte]].get == coll16\n val box29 = OUTPUTS(placeholder[Int](31))\n val bool30 = box29.propositionBytes == coll9\n val i31 = OUTPUTS.size\n sigmaProp(box1.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33)) && prop2 && sigmaProp(\n (((if ((!bool8) && (OUTPUTS.size > placeholder[Int](34))) {(\n val box32 = OUTPUTS(placeholder[Int](35))\n val l33 = max(l10 * l11 / placeholder[Long](36), placeholder[Long](37))\n if (box32.propositionBytes == coll9) {(\n val coll34 = box32.tokens\n (((((coll34.size == placeholder[Int](38)) && (coll34(placeholder[Int](39))._1 == coll3)) && (coll34(placeholder[Int](40))._2 == placeholder[Long](41))) && (box32.value >= l33)) && (OUTPUTS(placeholder[Int](42)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](43)).value >= l10 - l33 - l5)\n )} else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) } || if ((bool8 && (l12 == placeholder[Long](46))) && (l13 == placeholder[Long](47))) { if (OUTPUTS.size > placeholder[Int](48)) {(\n val box32 = OUTPUTS(placeholder[Int](49))\n val l33 = box14.value\n val l34 = l10 - l33\n if (box32.propositionBytes == coll9) { (((((((((box32.value >= max(max(l34, l34) * l11 / placeholder[Long](50), placeholder[Long](51))) && (l33 >= l6)) && (coll15(placeholder[Int](52))._2 == placeholder[Long](53))) && (box14.R4[Coll[Byte]].get == coll16)) && {(i35: Int) =>\n val coll37 = OUTPUTS(i35).R5[Coll[Long]].get\n (((coll37(placeholder[Int](54)) == l18) && (coll37(placeholder[Int](55)) == l19)) && (coll37(placeholder[Int](56)) == l20)) && (coll37(placeholder[Int](57)) == l21)\n }(placeholder[Int](58))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](59))) && (box14.R8[Long].get == placeholder[Long](60))) && (box14.R9[Long].get == l22)) && (l13 == placeholder[Long](61)) } else { placeholder[Boolean](62) }\n )} else { placeholder[Boolean](63) } } else { placeholder[Boolean](64) }) || if ((bool8 && (l12 == placeholder[Long](65))) && (l13 == placeholder[Long](66))) { (((((((l23 == l10) && (coll15(placeholder[Int](67))._2 == placeholder[Long](68))) && (box14.R4[Coll[Byte]].get == coll16)) && func24(placeholder[Int](69))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R8[Long].get >= l6)) && (box14.R9[Long].get == l22)) && \n val l32 = box14.R7[Long].get\n (l32 == placeholder[Long](70)) || ((l32 == placeholder[Long](71)) && (box14.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](72) }) || bool26) || if ((bool8 && (!bool27)) && (l12 == placeholder[Long](73))) {\n if (i31 > placeholder[Int](74)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n ((bool25 && bool28) && (box14.R5[Coll[Long]].get(placeholder[Int](75)) == l20)) && (\n box14.R5[Coll[Long]].get(placeholder[Int](76)) == l21\n )\n ) && (box14.R6[SigmaProp].get == prop2)\n ) && (box14.R7[Long].get == placeholder[Long](77))\n ) && (box14.R8[Long].get == placeholder[Long](78))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](79))._2 == placeholder[Long](80))\n ) && (box29.tokens.size == placeholder[Int](81))\n ) && (box29.tokens(placeholder[Int](82))._1 == placeholder[Coll[Byte]](83))\n ) && \n val coll32 = box14.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](84))._2 >= coll32(placeholder[Int](85)) + coll32(placeholder[Int](86)) - l18 + l19\n \n } else { placeholder[Boolean](87) }\n } else { placeholder[Boolean](88) }\n } else { placeholder[Boolean](89) }\n ) || sigmaProp(\n (\n if ((bool8 && (l12 == placeholder[Long](90))) && (!bool26)) {\n if (i31 > placeholder[Int](91)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l13 * l11 / placeholder[Long](92), placeholder[Long](93))) && (box29.tokens.size == placeholder[Int](94))\n ) && (OUTPUTS(placeholder[Int](95)).propositionBytes == prop2.propBytes)\n ) && (OUTPUTS(placeholder[Int](96)).value >= l13)\n ) && (OUTPUTS(placeholder[Int](97)).tokens.size == placeholder[Int](98))\n ) && bool25\n ) && (coll15(placeholder[Int](99))._2 == placeholder[Long](100))\n ) && bool28\n ) && func24(placeholder[Int](101))\n ) && (box14.R7[Long].get == placeholder[Long](102))\n ) && (box14.R8[Long].get == placeholder[Long](103))\n ) && (box14.R9[Long].get == l22)\n } else { placeholder[Boolean](104) }\n } else { placeholder[Boolean](105) }\n } else { placeholder[Boolean](106) } || if ((bool8 && bool27) && (l12 == placeholder[Long](107))) { if (i31 >= placeholder[Int](108)) {(\n val box32 = OUTPUTS(placeholder[Int](109))\n if (blake2b256(box32.propositionBytes) == box1.R5[Coll[Byte]].get) { (((((((((((((bool28 && func24(placeholder[Int](110))) && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](111))) && (box14.R8[Long].get == l13)) && (box14.R9[Long].get == l22)) && (coll15(placeholder[Int](112))._2 == placeholder[Long](113))) && (box32.value >= placeholder[Long](114) * l13 - l5)) && (box32.R4[SigmaProp].get == prop2)) && (box32.R5[Long].get == l22)) && (box32.R6[Coll[Long]].get(placeholder[Int](115)) == l18)) && (box32.R6[Coll[Long]].get(placeholder[Int](116)) == l19)) && (box32.R6[Coll[Long]].get(placeholder[Int](117)) == l20)) && (box32.R6[Coll[Long]].get(placeholder[Int](118)) == l21)) || ((((((((((((((box29.R4[Coll[Byte]].get == coll16) && func24(placeholder[Int](119))) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](120))) && (box29.R8[Long].get == l13)) && (box29.R9[Long].get == l22)) && (box29.tokens(placeholder[Int](121))._2 == placeholder[Long](122))) && (box32.value >= placeholder[Long](123) * l13 - l5)) && (box32.R7[SigmaProp].get == prop2)) && (box32.R8[Long].get == l22)) && (box32.R9[Coll[Long]].get(placeholder[Int](124)) == l18)) && (box32.R9[Coll[Long]].get(placeholder[Int](125)) == l19)) && (box32.R9[Coll[Long]].get(placeholder[Int](126)) == l20)) && (box32.R9[Coll[Long]].get(placeholder[Int](127)) == l21)) } else { placeholder[Boolean](128) }\n )} else { placeholder[Boolean](129) } } else { placeholder[Boolean](130) }\n ) || if ((bool8 && bool27) && (l12 == placeholder[Long](131))) {\n (\n (\n (\n ((bool28 && (box14.R6[SigmaProp].get == prop2)) && (box14.R7[Long].get == placeholder[Long](132))) && (box14.R8[Long].get == placeholder[Long](133))\n ) && (box14.R9[Long].get == l22)\n ) && (coll15(placeholder[Int](134))._2 == placeholder[Long](135))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll16) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](136))) && (\n box29.R8[Long].get == placeholder[Long](137)\n )\n ) && (box29.R9[Long].get == l22)\n ) && (box29.tokens(placeholder[Int](138))._2 == placeholder[Long](139))\n )\n } else { placeholder[Boolean](140) }\n )\n}",
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"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110402020a08",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,5,4]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0580def368",
"sigmaType": "SLong",
"renderedValue": "110000000"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R9": {
"serializedValue": "050c",
"sigmaType": "SLong",
"renderedValue": "6"
},
"R4": {
"serializedValue": "0ed70143686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "43686f6f7365206d652061206e616d653a3462336663343a6466326262383a333a353a4d3231382e352c3136312e35513232352c3139382c3138372c3139382e35513134392c3139392c3132302c3231342e355139312c3233302c35382c3231332e355132352c3139372c33362c3136315134372c3132352c33392e352c39315133322c35372c36362e352c3534513130312c35312c3132392e352c33372e35513135382c32342c3138342e352c3433513231312c36322c3231312e352c39332e35513231322c3132352c3231382e352c3136312e355a"
}
},
"spentTransactionId": "1f0ff2c268bcf375414fee22ea6bd0598e2aabe0ff3b1c13cbe50efc8a7c4f83",
"mainChain": true
},
{
"boxId": "b654410d432fa60af8e83c8014ae89a9cf029f11534f50f60fdf80b0380c4982",
"transactionId": "82cd8a73e8e992e7af72f2c7e633d6c863c461d0369dc4452600f0c8b27b70fb",
"blockId": "fd2f14c416c7d2f581e901850c0bcec2afab2b8df85c4ff650f6a55118421ce1",
"value": 385650000,
"index": 1,
"globalIndex": 19841219,
"creationHeight": 808448,
"settlementHeight": 808451,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
"tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
"index": 0,
"amount": 6,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "daaeb53481794c120dac002453a652d5342b22fdb1ada11f4cc36d514c4d3079",
"mainChain": true
},
{
"boxId": "34d7ddcd236ca99aef012ac4b4cc8e2f2df6d99bd90ad7a0847fad1d17385a56",
"transactionId": "82cd8a73e8e992e7af72f2c7e633d6c863c461d0369dc4452600f0c8b27b70fb",
"blockId": "fd2f14c416c7d2f581e901850c0bcec2afab2b8df85c4ff650f6a55118421ce1",
"value": 2000000,
"index": 2,
"globalIndex": 19841220,
"creationHeight": 808448,
"settlementHeight": 808451,
"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": "8da38e987f7e765462d4c40ffdabe1694f4e4faacab11df60a29eed0882cc8fb",
"mainChain": true
}
],
"size": 2918,
"isUnconfirmed": false
}