Transaction
ID: 34501bd199...bccb
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0079 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
2.34 ERG
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1579 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.19 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 898,857
Total coins transferred: 2.35 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000425 ERG
Raw Transaction Data
{
"id": "34501bd199bc7a5f6ff4ac9ade293627f9f7effef6d6e158d51e425e01d9bccb",
"blockId": "7f2a53c1842b976009add61f0104027209323dfcc7b6a38dc8932bfc77fb3271",
"inclusionHeight": 863814,
"timestamp": 1667117864599,
"index": 10,
"globalIndex": 4244149,
"numConfirmations": 898857,
"inputs": [
{
"boxId": "63443ab7373bc1887a45e1b2a33d5fcf2e764044a108c9b8a05ced085902b4f3",
"value": 7900000,
"index": 0,
"spendingProof": "e15ed70be32f52e3b97a101bdecdc213c078ccdccf7dba5840cc75b1771b58a2c3d3b17448dd11c8cdba5e5f820ef18441f9bbe0e7573c5c",
"outputBlockId": "7f2a53c1842b976009add61f0104027209323dfcc7b6a38dc8932bfc77fb3271",
"outputTransactionId": "2e762fb9144eaf22d1a14db66005a87258b8f01266bafdb8f7849274ebc3923c",
"outputIndex": 0,
"outputGlobalIndex": 23102256,
"outputCreatedAt": 863812,
"outputSettledAt": 863814,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: false\n55: 0\n56: 2\n57: 2\n58: 2\n59: 3\n60: 3\n61: 0\n62: 1\n63: 0\n64: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n65: 0\n66: 1000\n67: 1\n68: 1000\n69: 4\n70: 5\n71: 6\n72: 0\n73: 1\n74: 1\n75: 4\n76: 1\n77: 5\n78: 6\n79: 0\n80: 3\n81: 1\n82: 1\n83: 4\n84: 5\n85: 0\n86: 6\n87: 0\n88: 0\n89: 0\n90: 6\n91: 1\n92: 0\n93: 1\n94: false\n95: false\n96: false\n97: 2\n98: 3\n99: 2\n100: 1000\n101: 1000000\n102: 2\n103: 2\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: false\n119: 4\n120: 5\n121: 2\n122: 1\n123: 5\n124: 1\n125: 4\n126: 5\n127: 1\n128: 5\n129: 0\n130: 2\n131: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n val l39 = coll15(placeholder[Int](24))._2\n val bool40 = box3.R9[Long].get == l20\n sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n if (coll4 == coll12) {(\n val tuple42 = coll15(placeholder[Int](29))\n ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n )} else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n val l41 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l41 = box3.R7[Long].get\n if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n val tuple42 = coll15(placeholder[Int](42))\n (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53)) } else { placeholder[Boolean](54) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](55))) { if (i30 > placeholder[Int](56)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](57)) == coll23(placeholder[Int](58)))) && (box3.R5[Coll[Int]].get(placeholder[Int](59)) == coll23(placeholder[Int](60)))) && (l27 == placeholder[Long](61))) && (coll31.size == placeholder[Int](62))) && (coll31(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64))) && \n val coll41 = box3.R5[Coll[Int]].get\n val i42 = coll41(placeholder[Int](65))\n (((((((i42 <= placeholder[Int](66)) && (coll41(placeholder[Int](67)) <= placeholder[Int](68))) && (coll41(placeholder[Int](69)) == i32)) && (coll41(placeholder[Int](70)) == i33)) && (coll41(placeholder[Int](71)) == i34)) && (coll31(placeholder[Int](72))._2 >= i42 + coll41(placeholder[Int](73)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](74)) == i36)) && (coll41(placeholder[Int](75)) == i32 + placeholder[Int](76))) && (coll41(placeholder[Int](77)) == i33)) && (coll41(placeholder[Int](78)) == i34)) && (coll31(placeholder[Int](79))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](80) * i32 + placeholder[Int](81))))) || ((((i42 == i35) && (coll41(placeholder[Int](82)) == i36)) && (coll41(placeholder[Int](83)) == i32)) && \n val i43 = coll41(placeholder[Int](84))\n ((((i43 > placeholder[Int](85)) && (i43 != i33)) && (coll41(placeholder[Int](86)) == placeholder[Int](87))) && (coll31(placeholder[Int](88))._2 >= coll37(placeholder[Int](89)))) || (((i43 == i33) && (coll41(placeholder[Int](90)) == i34 + placeholder[Int](91))) && (coll31(placeholder[Int](92))._2 >= coll37(i34 + placeholder[Int](93))))\n )\n } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](97))) {\n if (i30 > placeholder[Int](98)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](99) * l14 / placeholder[Long](100), placeholder[Long](101))) && (\n OUTPUTS(placeholder[Int](102)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](103)).value >= l38)\n ) && bool26\n ) && (l39 == placeholder[Long](104))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](105))\n ) && bool40\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n if (i30 >= placeholder[Int](110)) {\n if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n } else { placeholder[Boolean](115) }\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n ) || placeholder[Boolean](118)\n ) || if ((bool11 && ((l18 == placeholder[Long](119)) || (l18 == placeholder[Long](120)))) && (INPUTS.size == placeholder[Int](121))) {\n (\n (\n (\n (((blake2b256(INPUTS(placeholder[Int](122)).propositionBytes) == coll5(placeholder[Int](123))) && bool40) && (l39 >= placeholder[Long](124))) && (\n box3.R4[Coll[Byte]].get == coll21\n )\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (box3.R6[SigmaProp].get == prop2)\n ) && (\n (((l18 == placeholder[Long](125)) && (l27 == placeholder[Long](126))) && (l39 == placeholder[Long](127))) || (\n ((l18 == placeholder[Long](128)) && (l27 == placeholder[Long](129))) && (l39 == placeholder[Long](130))\n )\n )\n } else { placeholder[Boolean](131) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702020000000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,0,0,0,0,0]"
},
"R6": {
"serializedValue": "08cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
"sigmaType": "SSigmaProp",
"renderedValue": "02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0578",
"sigmaType": "SLong",
"renderedValue": "60"
},
"R4": {
"serializedValue": "0ee9015261653a3431623364383a3932653064313a353a333a4d3231322c3134352e35513139362c3136362c3137382e352c313737513136312c3138382c3134332c323137513132352c3234362c39362e352c3233355136382c3232342c35362e352c3139372e355134352c3137312c33392e352c3134385133342c3132352c34332e352c3130345135332c38332c36332e352c36305137342c33372c39392e352c32332e35513132352c31302c3135352c31352e35513138352c32312c3138372e352c35342e35513139302c38382c3230392c3130362e35513232382c3132352c3231322c3134352e355a",
"sigmaType": "Coll[SByte]",
"renderedValue": "5261653a3431623364383a3932653064313a353a333a4d3231322c3134352e35513139362c3136362c3137382e352c313737513136312c3138382c3134332c323137513132352c3234362c39362e352c3233355136382c3232342c35362e352c3139372e355134352c3137312c33392e352c3134385133342c3132352c34332e352c3130345135332c38332c36332e352c36305137342c33372c39392e352c32332e35513132352c31302c3135352c31352e35513138352c32312c3138372e352c35342e35513139302c38382c3230392c3130362e35513232382c3132352c3231322c3134352e355a"
}
}
},
{
"boxId": "c1c871fe3364ad93c8f99c16a2a63d22777b5d3fddc5441860aaa6230d3c50de",
"value": 2344200000,
"index": 1,
"spendingProof": "3175fcd94a937ca3b78a8cd7dd347c29a4e2f28968827075d2f5e5940bf2fb028c2e867ab7aff196611959cd40eb13ca9f156945caa1fbdd",
"outputBlockId": "4d4343643df5e01059191ec2340ff8d1c76257f7d25df4cd7234c1eaaea01863",
"outputTransactionId": "a3859e8b82f24eaabac8867fb61bc1b8815c7fd9b010274a39be24eca5082380",
"outputIndex": 1,
"outputGlobalIndex": 23101680,
"outputCreatedAt": 863797,
"outputSettledAt": 863800,
"ergoTree": "0008cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42a355,5a35ff,...)))}",
"address": "9eYtuDups24XXqzbYTn3qHoknh65EqbcFJhFU7pRNoXZo3hGish",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "82e2e910b284ff4475baeff1c53d495a39787539e06425ab6b31189b8ec7753f",
"value": 1000000,
"index": 0,
"outputBlockId": "160141f7271541edbf08f05c5c31f70bea015e6ed99ea0d696ce5213a6dc45ca",
"outputTransactionId": "eb36d1ea51d01c259ef409de632d35e4f3d09a322dc20cc39fc37b2053c4b095",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020404eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHcXaiuZGf9XTnSSazKFXS",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110a0ac0a386010206c83380897a3c8084af5f040a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[5,1100000,1,3,3300,1000000,30,100000000,2,5]"
},
"R6": {
"serializedValue": "110c0000322832c8016464a006c801c801d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,25,20,25,100,50,50,400,100,100,1000]"
},
"R8": {
"serializedValue": "101a3200b40132b80364e807c8019811f403c8011eea0332cc08649213fa01e601009c0400b009008c1500",
"sigmaType": "Coll[SInt]",
"renderedValue": "[25,0,90,25,220,50,500,100,1100,250,100,15,245,25,550,50,1225,125,115,0,270,0,600,0,1350,0]"
},
"R7": {
"serializedValue": "1104142864c801",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,20,50,100]"
},
"R4": {
"serializedValue": "1a07208e02501dea32097788d7baf04079e813c1fc22786032926904b78ba0e2cb0f63202d2bdcc9e49205cf0dd2007af4196586161d1432048ec620881ae0849c501ffc20e901784be128272745ef53e9c7dd8a85026a633dacfea5a06fd61c045b891ef220b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f208c7d456eb7a4c6f1365b8662a1f2003a51513b7a301e2ba21c4145278a48b597204d1bff34a3e012cb6996d97734ec266ad12660a5cdae1ea6a34c3517271e8a7720e2066772dbb329a555e5fb29f203d8fce51e1e33759a88d077a19b15ad39e1b8",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8e02501dea32097788d7baf04079e813c1fc22786032926904b78ba0e2cb0f63,2d2bdcc9e49205cf0dd2007af4196586161d1432048ec620881ae0849c501ffc,e901784be128272745ef53e9c7dd8a85026a633dacfea5a06fd61c045b891ef2,b9fd4468dccf2a954db1bbb8cde33258aaf52338012dc3fcdc2ae3642179637f,8c7d456eb7a4c6f1365b8662a1f2003a51513b7a301e2ba21c4145278a48b597,4d1bff34a3e012cb6996d97734ec266ad12660a5cdae1ea6a34c3517271e8a77,e2066772dbb329a555e5fb29f203d8fce51e1e33759a88d077a19b15ad39e1b8]"
}
}
}
],
"outputs": [
{
"boxId": "6fae151faedb9327c2f3c674071d46d2e8ba04530b389136d92e37ef5c66ef87",
"transactionId": "34501bd199bc7a5f6ff4ac9ade293627f9f7effef6d6e158d51e425e01d9bccb",
"blockId": "7f2a53c1842b976009add61f0104027209323dfcc7b6a38dc8932bfc77fb3271",
"value": 157900000,
"index": 0,
"globalIndex": 23102260,
"creationHeight": 863812,
"settlementHeight": 863814,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(39,-112,110,-121,-79,-68,-39,13,4,1,54,-119,-116,116,-29,-86,86,69,85,4,-120,30,60,-9,90,-24,89,-69,-19,-48,-123,-55)\n4: 1\n5: 2000000\n6: 1\n7: 0\n8: false\n9: 3\n10: 0\n11: 1\n12: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n13: 0\n14: 2\n15: false\n16: 1\n17: 0\n18: false\n19: 4\n20: 5\n21: 6\n22: 0\n23: 1\n24: 0\n25: 0\n26: Coll(-125,-102,-19,-95,-91,-119,-79,-125,85,-18,-24,-38,63,-29,-13,-44,-76,-87,30,119,79,48,59,-86,-8,80,16,-86,-100,75,-98,-57)\n27: 1000\n28: 1000000\n29: 0\n30: 2\n31: false\n32: false\n33: 0\n34: 1000\n35: 1000000\n36: 0\n37: false\n38: false\n39: 0\n40: 4\n41: 1\n42: 1\n43: Coll(-19,25,107,36,114,-128,-85,-29,87,59,-58,-29,-36,101,-9,-45,58,70,66,53,102,-11,-67,-58,55,-1,25,-121,25,-3,-6,-40)\n44: 8\n45: 2\n46: 1\n47: 100000000\n48: false\n49: false\n50: 3\n51: 5\n52: 1\n53: 0\n54: false\n55: 0\n56: 2\n57: 2\n58: 2\n59: 3\n60: 3\n61: 0\n62: 1\n63: 0\n64: Coll(-64,34,-29,46,67,-2,72,-4,6,70,-69,-111,-12,-105,-100,114,-54,-50,80,-105,-59,96,-127,-110,-37,120,-124,88,70,31,-36,-103)\n65: 0\n66: 1000\n67: 1\n68: 1000\n69: 4\n70: 5\n71: 6\n72: 0\n73: 1\n74: 1\n75: 4\n76: 1\n77: 5\n78: 6\n79: 0\n80: 3\n81: 1\n82: 1\n83: 4\n84: 5\n85: 0\n86: 6\n87: 0\n88: 0\n89: 0\n90: 6\n91: 1\n92: 0\n93: 1\n94: false\n95: false\n96: false\n97: 2\n98: 3\n99: 2\n100: 1000\n101: 1000000\n102: 2\n103: 2\n104: 2\n105: 0\n106: false\n107: false\n108: false\n109: 1\n110: 4\n111: 2\n112: 1\n113: 2\n114: 2\n115: false\n116: false\n117: false\n118: false\n119: 4\n120: 5\n121: 2\n122: 1\n123: 5\n124: 1\n125: 4\n126: 5\n127: 1\n128: 5\n129: 0\n130: 2\n131: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val prop2 = SELF.R6[SigmaProp].get\n val box3 = OUTPUTS(placeholder[Int](1))\n val coll4 = blake2b256(box3.propositionBytes)\n val coll5 = box1.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](2))\n val coll7 = placeholder[Coll[Byte]](3)\n val coll8 = box1.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](4))\n val l10 = placeholder[Long](5) + l9\n val bool11 = if (coll4 == coll6) {(\n val coll11 = box3.tokens\n ((coll11.size >= placeholder[Int](6)) && (coll11(placeholder[Int](7))._1 == coll7)) && (box3.value >= l10)\n )} else { placeholder[Boolean](8) }\n val coll12 = coll5(placeholder[Int](9))\n val l13 = SELF.value\n val l14 = coll8(placeholder[Int](10))\n val coll15 = box3.tokens\n val box16 = OUTPUTS(placeholder[Int](11))\n val coll17 = box16.propositionBytes\n val l18 = SELF.R7[Long].get\n val coll19 = placeholder[SigmaProp](12).propBytes\n val l20 = SELF.R9[Long].get\n val coll21 = SELF.R4[Coll[Byte]].get\n val bool22 = if (bool11) {\n (((box3.R9[Long].get == l20) && (coll15(placeholder[Int](13))._2 == placeholder[Long](14))) && (box3.R4[Coll[Byte]].get == coll21)) && (\n box3.R6[SigmaProp].get == prop2\n )\n } else { placeholder[Boolean](15) }\n val coll23 = SELF.R5[Coll[Int]].get\n val l24 = box3.value\n val i25 = coll15.size\n val bool26 = l24 == l13\n val l27 = box3.R7[Long].get\n val coll28 = blake2b256(coll17)\n val bool29 = if (coll28 == coll6) {(\n val coll29 = box16.tokens\n ((coll29.size >= placeholder[Int](16)) && (coll29(placeholder[Int](17))._1 == coll7)) && (box16.value >= l10)\n )} else { placeholder[Boolean](18) }\n val i30 = OUTPUTS.size\n val coll31 = box16.tokens\n val i32 = coll23(placeholder[Int](19))\n val i33 = coll23(placeholder[Int](20))\n val i34 = coll23(placeholder[Int](21))\n val i35 = coll23(placeholder[Int](22))\n val i36 = coll23(placeholder[Int](23))\n val coll37 = box1.R7[Coll[Long]].get\n val l38 = SELF.R8[Long].get\n val l39 = coll15(placeholder[Int](24))._2\n val bool40 = box3.R9[Long].get == l20\n sigmaProp(box1.tokens(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26)) && prop2 && sigmaProp((((if (!bool11) {(\n val l41 = max(l13 * l14 / placeholder[Long](27), placeholder[Long](28))\n if (coll4 == coll12) {(\n val tuple42 = coll15(placeholder[Int](29))\n ((((tuple42._1 == coll7) && (tuple42._2 == placeholder[Long](30))) && (box3.value >= l41)) && (coll17 == prop2.propBytes)) && (box16.value >= l13 - l41 - l9)\n )} else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) } || if (bool11 && (l18 == placeholder[Long](33))) {(\n val l41 = l13 - box3.value\n if (coll17 == coll19) { (((box16.value >= max(max(l41, l41) * l14 / placeholder[Long](34), placeholder[Long](35))) && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (box3.R7[Long].get == placeholder[Long](36)) } else { placeholder[Boolean](37) }\n )} else { placeholder[Boolean](38) }) || if (bool11 && (l18 == placeholder[Long](39))) { if (((l24 == l13) && bool22) && (box3.R5[Coll[Int]].get == coll23)) {(\n val l41 = box3.R7[Long].get\n if ((l41 == placeholder[Long](40)) && (i25 > placeholder[Int](41))) {(\n val tuple42 = coll15(placeholder[Int](42))\n (tuple42._1 == placeholder[Coll[Byte]](43)) && (tuple42._2 == coll8(placeholder[Int](44)))\n )} else { (l41 == placeholder[Long](45)) || (((l41 == placeholder[Long](46)) && (box3.R8[Long].get <= l13 - l10)) && (box3.R8[Long].get >= placeholder[Long](47))) }\n )} else { placeholder[Boolean](48) } } else { placeholder[Boolean](49) }) || if ((bool11 && (l18 != placeholder[Long](50))) && (l18 != placeholder[Long](51))) { (((bool26 && bool22) && (box3.R5[Coll[Int]].get == coll23)) && (i25 == placeholder[Int](52))) && (l27 == placeholder[Long](53)) } else { placeholder[Boolean](54) }) || if ((bool11 && (!bool29)) && (l18 == placeholder[Long](55))) { if (i30 > placeholder[Int](56)) { if (coll28 == coll12) { ((((((bool26 && bool22) && (box3.R5[Coll[Int]].get(placeholder[Int](57)) == coll23(placeholder[Int](58)))) && (box3.R5[Coll[Int]].get(placeholder[Int](59)) == coll23(placeholder[Int](60)))) && (l27 == placeholder[Long](61))) && (coll31.size == placeholder[Int](62))) && (coll31(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64))) && \n val coll41 = box3.R5[Coll[Int]].get\n val i42 = coll41(placeholder[Int](65))\n (((((((i42 <= placeholder[Int](66)) && (coll41(placeholder[Int](67)) <= placeholder[Int](68))) && (coll41(placeholder[Int](69)) == i32)) && (coll41(placeholder[Int](70)) == i33)) && (coll41(placeholder[Int](71)) == i34)) && (coll31(placeholder[Int](72))._2 >= i42 + coll41(placeholder[Int](73)) - i35 + i36.toLong)) || ((((((i42 == i35) && (coll41(placeholder[Int](74)) == i36)) && (coll41(placeholder[Int](75)) == i32 + placeholder[Int](76))) && (coll41(placeholder[Int](77)) == i33)) && (coll41(placeholder[Int](78)) == i34)) && (coll31(placeholder[Int](79))._2 >= box1.R6[Coll[Long]].get(placeholder[Int](80) * i32 + placeholder[Int](81))))) || ((((i42 == i35) && (coll41(placeholder[Int](82)) == i36)) && (coll41(placeholder[Int](83)) == i32)) && \n val i43 = coll41(placeholder[Int](84))\n ((((i43 > placeholder[Int](85)) && (i43 != i33)) && (coll41(placeholder[Int](86)) == placeholder[Int](87))) && (coll31(placeholder[Int](88))._2 >= coll37(placeholder[Int](89)))) || (((i43 == i33) && (coll41(placeholder[Int](90)) == i34 + placeholder[Int](91))) && (coll31(placeholder[Int](92))._2 >= coll37(i34 + placeholder[Int](93))))\n )\n } else { placeholder[Boolean](94) } } else { placeholder[Boolean](95) } } else { placeholder[Boolean](96) }) || sigmaProp(\n (\n (\n if (bool11 && (l18 == placeholder[Long](97))) {\n if (i30 > placeholder[Int](98)) {\n if (coll17 == coll19) {\n (\n (\n (\n (\n (\n (\n (\n (box16.value >= max(l38 * placeholder[Long](99) * l14 / placeholder[Long](100), placeholder[Long](101))) && (\n OUTPUTS(placeholder[Int](102)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](103)).value >= l38)\n ) && bool26\n ) && (l39 == placeholder[Long](104))\n ) && (box3.R4[Coll[Byte]].get == coll21)\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (l27 == placeholder[Long](105))\n ) && bool40\n } else { placeholder[Boolean](106) }\n } else { placeholder[Boolean](107) }\n } else { placeholder[Boolean](108) } || if ((bool11 && bool29) && (l18 == placeholder[Long](109))) {\n if (i30 >= placeholder[Int](110)) {\n if (blake2b256(OUTPUTS(placeholder[Int](111)).propositionBytes) == coll5(placeholder[Int](112))) {\n blake2b256(INPUTS(placeholder[Int](113)).propositionBytes) == coll5(placeholder[Int](114))\n } else { placeholder[Boolean](115) }\n } else { placeholder[Boolean](116) }\n } else { placeholder[Boolean](117) }\n ) || placeholder[Boolean](118)\n ) || if ((bool11 && ((l18 == placeholder[Long](119)) || (l18 == placeholder[Long](120)))) && (INPUTS.size == placeholder[Int](121))) {\n (\n (\n (\n (((blake2b256(INPUTS(placeholder[Int](122)).propositionBytes) == coll5(placeholder[Int](123))) && bool40) && (l39 >= placeholder[Long](124))) && (\n box3.R4[Coll[Byte]].get == coll21\n )\n ) && (box3.R5[Coll[Int]].get == coll23)\n ) && (box3.R6[SigmaProp].get == prop2)\n ) && (\n (((l18 == placeholder[Long](125)) && (l27 == placeholder[Long](126))) && (l39 == placeholder[Long](127))) || (\n ((l18 == placeholder[Long](128)) && (l27 == placeholder[Long](129))) && (l39 == placeholder[Long](130))\n )\n )\n } else { placeholder[Boolean](131) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "27906e87b1bcd90d040136898c74e3aa56455504881e3cf75ae859bbedd085c9",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "100702020000000000",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1,0,0,0,0,0]"
},
"R6": {
"serializedValue": "08cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
"sigmaType": "SSigmaProp",
"renderedValue": "02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0578",
"sigmaType": "SLong",
"renderedValue": "60"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "5261653a3431623364383a3932653064313a353a333a4d3231322c3134352e35513139362c3136362c3137382e352c313737513136312c3138382c3134332c323137513132352c3234362c39362e352c3233355136382c3232342c35362e352c3139372e355134352c3137312c33392e352c3134385133342c3132352c34332e352c3130345135332c38332c36332e352c36305137342c33372c39392e352c32332e35513132352c31302c3135352c31352e35513138352c32312c3138372e352c35342e35513139302c38382c3230392c3130362e35513232382c3132352c3231322c3134352e355a"
}
},
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"mainChain": true
},
{
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"transactionId": "34501bd199bc7a5f6ff4ac9ade293627f9f7effef6d6e158d51e425e01d9bccb",
"blockId": "7f2a53c1842b976009add61f0104027209323dfcc7b6a38dc8932bfc77fb3271",
"value": 1000000,
"index": 1,
"globalIndex": 23102261,
"creationHeight": 863812,
"settlementHeight": 863814,
"ergoTree": "0008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))}",
"address": "9h8ujgHBKcCgJRbBrCY9rgfqLtjZyvsSEh2E4u1pQXuX8zNRo3y",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "2fc8fedf31dfa26e23cfc47c459d01bb64d60d324cbe857dcff209683d306083",
"mainChain": true
},
{
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"blockId": "7f2a53c1842b976009add61f0104027209323dfcc7b6a38dc8932bfc77fb3271",
"value": 2192100000,
"index": 2,
"globalIndex": 23102262,
"creationHeight": 863812,
"settlementHeight": 863814,
"ergoTree": "0008cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42a355,5a35ff,...)))}",
"address": "9eYtuDups24XXqzbYTn3qHoknh65EqbcFJhFU7pRNoXZo3hGish",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "a676148ce3398df23ee34f5b1a0352155a04a2d11858090aaf45df2425d32b7b",
"mainChain": true
},
{
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"transactionId": "34501bd199bc7a5f6ff4ac9ade293627f9f7effef6d6e158d51e425e01d9bccb",
"blockId": "7f2a53c1842b976009add61f0104027209323dfcc7b6a38dc8932bfc77fb3271",
"value": 1100000,
"index": 3,
"globalIndex": 23102263,
"creationHeight": 863812,
"settlementHeight": 863814,
"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": "29b2a4cff5c1a70b4a43be10aa31556d6223d91d9c305b9e4fdc059bfd2dcc79",
"mainChain": true
}
],
"size": 2587,
"isUnconfirmed": false
}