Transaction
ID: 62bf2d4fc5...05af
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.195 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.097 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.218 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.409 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.097 ERG
Tokens:
Loading assets...
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:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 940,123
Total coins transferred: 0.51 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000048 ERG
Raw Transaction Data
{
"id": "62bf2d4fc51e01f2acac32b00e5eaa8ad22bcd6b6e5f55dad9d5dc23933905af",
"blockId": "67d5f1abeab943bcbee4c2f458abff6edd88eaf50914367fa695c2462a5222d0",
"inclusionHeight": 819389,
"timestamp": 1660912704501,
"index": 29,
"globalIndex": 3789713,
"numConfirmations": 940123,
"inputs": [
{
"boxId": "9062011186a69498506ef124173613fcace97ddaa7821a8df320efd9e8aeaa27",
"value": 195000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "c07ea7ac24708ccd9c030517257976254a11d3c98528bb9a5ece3cc5212d6ec0",
"outputTransactionId": "0f5031269b1508e18b4e758ea50b1484d3483893607b7978dd40c4064979ad0a",
"outputIndex": 0,
"outputGlobalIndex": 20416895,
"outputCreatedAt": 819382,
"outputSettledAt": 819385,
"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: 0\n5: false\n6: 0\n7: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 2\n14: 3\n15: 0\n16: 1\n17: 2\n18: 3\n19: 1\n20: 1\n21: 0\n22: 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)\n23: 0\n24: 1000\n25: 1000000\n26: 0\n27: 2\n28: 1\n29: 1\n30: false\n31: false\n32: 0\n33: 1\n34: 1000\n35: 1000000\n36: 2\n37: 0\n38: 1\n39: 2\n40: 3\n41: 0\n42: 0\n43: 0\n44: 0\n45: false\n46: false\n47: 0\n48: 2\n49: 0\n50: 2\n51: 1\n52: false\n53: 3\n54: 2\n55: 0\n56: 0\n57: 0\n58: false\n59: 0\n60: 2\n61: 2\n62: 3\n63: 0\n64: 0\n65: 2\n66: 1\n67: 0\n68: 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)\n69: 0\n70: 1000\n71: 1\n72: 1000\n73: 0\n74: 0\n75: 1\n76: false\n77: false\n78: false\n79: 2\n80: 3\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: 0\n89: false\n90: false\n91: false\n92: 1\n93: 4\n94: 2\n95: 2\n96: false\n97: false\n98: false\n99: 3\n100: 0\n101: 0\n102: 2\n103: 0\n104: 0\n105: 0\n106: 2\n107: 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) { (box9.tokens(placeholder[Int](4))._1 == coll3) && (box9.value >= l6) } else {\n placeholder[Boolean](5)\n }\n }\n val bool8 = func7(placeholder[Int](6))\n val coll9 = placeholder[SigmaProp](7).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](8))\n val l12 = SELF.R7[Long].get\n val box13 = OUTPUTS(placeholder[Int](9))\n val l14 = box13.tokens(placeholder[Int](10))._2\n val coll15 = SELF.R4[Coll[Byte]].get\n val coll16 = SELF.R5[Coll[Long]].get\n val l17 = coll16(placeholder[Int](11))\n val l18 = coll16(placeholder[Int](12))\n val l19 = coll16(placeholder[Int](13))\n val l20 = coll16(placeholder[Int](14))\n val l21 = SELF.R9[Long].get\n val l22 = SELF.R8[Long].get\n val l23 = box13.value\n val func24 = {(i24: Int) =>\n val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n (((coll26(placeholder[Int](15)) == l17) && (coll26(placeholder[Int](16)) == l18)) && (coll26(placeholder[Int](17)) == l19)) && (\n coll26(placeholder[Int](18)) == l20\n )\n }\n val bool25 = l23 == l10\n val bool26 = func7(placeholder[Int](19))\n val i27 = OUTPUTS.size\n val bool28 = box13.R4[Coll[Byte]].get == coll15\n val box29 = OUTPUTS(placeholder[Int](20))\n val bool30 = box29.propositionBytes == coll9\n sigmaProp(box1.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22)) && prop2 && sigmaProp((((if (!bool8) {(\n val box31 = OUTPUTS(placeholder[Int](23))\n val l32 = max(l10 * l11 / placeholder[Long](24), placeholder[Long](25))\n if (box31.propositionBytes == coll9) {(\n val tuple33 = box31.tokens(placeholder[Int](26))\n ((((tuple33._1 == coll3) && (tuple33._2 == placeholder[Long](27))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](28)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](29)).value >= l10 - l32 - l5)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool8 && (l12 == placeholder[Long](32))) {(\n val box31 = OUTPUTS(placeholder[Int](33))\n val l32 = l10 - box13.value\n if (box31.propositionBytes == coll9) { ((((((((box31.value >= max(max(l32, l32) * l11 / placeholder[Long](34), placeholder[Long](35))) && (l14 == placeholder[Long](36))) && (box13.R4[Coll[Byte]].get == coll15)) && {(i33: Int) =>\n val coll35 = OUTPUTS(i33).R5[Coll[Long]].get\n (((coll35(placeholder[Int](37)) == l17) && (coll35(placeholder[Int](38)) == l18)) && (coll35(placeholder[Int](39)) == l19)) && (coll35(placeholder[Int](40)) == l20)\n }(placeholder[Int](41))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](42))) && (box13.R8[Long].get == placeholder[Long](43))) && (box13.R9[Long].get == l21)) && (l22 == placeholder[Long](44)) } else { placeholder[Boolean](45) }\n )} else { placeholder[Boolean](46) }) || if (bool8 && (l12 == placeholder[Long](47))) { ((((((l23 == l10) && (l14 == placeholder[Long](48))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](49))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R9[Long].get == l21)) && \n val l31 = box13.R7[Long].get\n (l31 == placeholder[Long](50)) || ((l31 == placeholder[Long](51)) && (box13.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](52) }) || if (bool8 && (l12 != placeholder[Long](53))) { ((((((bool25 && (l14 == placeholder[Long](54))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](55))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](56))) && (box13.R8[Long].get == placeholder[Long](57))) && (box13.R9[Long].get == l21) } else { placeholder[Boolean](58) }) || if ((bool8 && (!bool26)) && (l12 == placeholder[Long](59))) { if (i27 > placeholder[Int](60)) { if (bool30) { ((((((((((((bool25 && bool28) && (box13.R5[Coll[Long]].get(placeholder[Int](61)) == l19)) && (box13.R5[Coll[Long]].get(placeholder[Int](62)) == l20)) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](63))) && (box13.R8[Long].get == placeholder[Long](64))) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](65))) && (box29.tokens.size == placeholder[Int](66))) && (box29.tokens(placeholder[Int](67))._1 == placeholder[Coll[Byte]](68))) && (box13.R5[Coll[Long]].get(placeholder[Int](69)) <= placeholder[Long](70))) && (box13.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && \n val coll31 = box13.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](73))._2 >= coll31(placeholder[Int](74)) + coll31(placeholder[Int](75)) - l17 + l18\n } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) } } else { placeholder[Boolean](78) }) || sigmaProp(\n (\n if (bool8 && (l12 == placeholder[Long](79))) {\n if (i27 > placeholder[Int](80)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l22 * l11 / placeholder[Long](81), placeholder[Long](82))) && (\n OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](84)).value >= l22)\n ) && bool25\n ) && (l14 == placeholder[Long](85))\n ) && bool28\n ) && func24(placeholder[Int](86))\n ) && (box13.R7[Long].get == placeholder[Long](87))\n ) && (box13.R8[Long].get == placeholder[Long](88))\n ) && (box13.R9[Long].get == l21)\n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) }\n } else { placeholder[Boolean](91) } || if ((bool8 && bool26) && (l12 == placeholder[Long](92))) {\n if (i27 >= placeholder[Int](93)) {\n if (blake2b256(OUTPUTS(placeholder[Int](94)).propositionBytes) == box1.R5[Coll[Byte]].get) {\n blake2b256(INPUTS(placeholder[Int](95)).propositionBytes) == box1.R7[Coll[Byte]].get\n } else { placeholder[Boolean](96) }\n } else { placeholder[Boolean](97) }\n } else { placeholder[Boolean](98) }\n ) || if ((bool8 && bool26) && (l12 == placeholder[Long](99))) {\n (\n (\n (\n ((bool28 && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](100))) && (box13.R8[Long].get == placeholder[Long](101))\n ) && (box13.R9[Long].get == l21)\n ) && (l14 == placeholder[Long](102))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll15) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](103))) && (\n box29.R8[Long].get == placeholder[Long](104)\n )\n ) && (box29.R9[Long].get == l21)\n ) && (box29.tokens(placeholder[Int](105))._2 == placeholder[Long](106))\n )\n } else { placeholder[Boolean](107) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11042a2a0604",
"sigmaType": "Coll[SLong]",
"renderedValue": "[21,21,3,2]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0580def368",
"sigmaType": "SLong",
"renderedValue": "110000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "053e",
"sigmaType": "SLong",
"renderedValue": "31"
},
"R4": {
"serializedValue": "0ec3014672616e6369732d426c6f62204e47616e6e6f753a3465313535343a3031303530303a333a343a4d3230312e352c313532513139302c3137392c3136372e352c3230372e35513134352c3233362c3131322c3232302e355137392c3230352c35382c3138315133372c3135372c32352e352c3132315131342c38352c35302c37312e355138362c35382c3131362c3332513134362c362c3136352c3431513138342c37362c3139382e352c3130302e35513231332c3132352c3230312e352c3135325a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4672616e6369732d426c6f62204e47616e6e6f753a3465313535343a3031303530303a333a343a4d3230312e352c313532513139302c3137392c3136372e352c3230372e35513134352c3233362c3131322c3232302e355137392c3230352c35382c3138315133372c3135372c32352e352c3132315131342c38352c35302c37312e355138362c35382c3131362c3332513134362c362c3136352c3431513138342c37362c3139382e352c3130302e35513231332c3132352c3230312e352c3135325a"
}
}
},
{
"boxId": "959c1369c3f88913f9c5c8692d4c2bbc0017d38fb4676fa4b2f11b6cad194227",
"value": 97000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "c07ea7ac24708ccd9c030517257976254a11d3c98528bb9a5ece3cc5212d6ec0",
"outputTransactionId": "0f5031269b1508e18b4e758ea50b1484d3483893607b7978dd40c4064979ad0a",
"outputIndex": 1,
"outputGlobalIndex": 20416896,
"outputCreatedAt": 819382,
"outputSettledAt": 819385,
"ergoTree": "106c04000e203aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a0402058092f40104000100040008cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e040004000400040004020404040604000402040404060402040204000e2009ef6c93c6fe2534d6b840c8524a173fea2b7cb1bb0c1c1f0f739dc310e6d10b040005d00f0580897a0400050404020402010001000500040205d00f0580897a050404000402040404060400050005000500010001000500050404000504050201000506050404000500050001000500040404040406050005000504040204000e2025ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901040005d00f040205d00f0400040004020100010001000504040605d00f0580897a0404040405040400050005000100010001000502040804040404010001000100050605000500050405000500040005040100d81ed601b2db6501fe730000d602e4c6a70608d6037301d604e4c672010611d605b27204730200d6069a73037205d607d9010704d801d609b2a57207009593cbc27209e4c67201040eed938cb2db6308720973040001720392c1720972067305d608da7207017306d609d07307d60ac1a7d60bb27204730800d60ce4c6a70705d60db2a5730900d60e8cb2db6308720d730a0002d60fe4c6a7040ed610e4c6a70511d611b27210730b00d612b27210730c00d613b27210730d00d614b27210730e00d615e4c6a70905d616e4c6a70805d617c1720dd618d9011804d801d61ae4c6b2a57218000511ededed93b2721a730f00721193b2721a731000721293b2721a731100721393b2721a7312007214d619937217720ad61ada7207017313d61bb1a5d61c93e4c6720d040e720fd61db2a5731400d61e93c2721d7209ea02d1938cb2db63087201731500017316eb02ea027202d1ecececec95ef7208d802d61fb2a5731700d620a29d9c720a720b731873199593c2721f7209d801d621b2db6308721f731a00edededed938c7221017203938c722102731b92c1721f722093c2b2a5731c00d0720292c1b2a5731d009999720a72207205731e731f95ed720893720c7320d802d61fb2a5732100d62099720ac1720d9593c2721f7209edededededededed92c1721fa29d9ca272207220720b7322732393720e732493e4c6720d040e720fdad9012104d801d623e4c6b2a57221000511ededed93b27223732500721193b27223732600721293b27223732700721393b27223732800721401732993e4c6720d0608720293e4c6720d0705732a93e4c6720d0805732b93e4c6720d09057215937216732c732d732e95ed720893720c732fedededededed937217720a93720e733093e4c6720d040e720fda721801733193e4c6720d0608720293e4c6720d09057215d801d61fe4c6720d0705ec93721f7332ed93721f733390e4c6720d080599720a7206733495ed720894720c7335ededededededed721993720e733693e4c6720d040e720fda721801733793e4c6720d0608720293e4c6720d0705733893e4c6720d0805733993e4c6720d09057215733a95eded7208ef721a93720c733b9591721b733c95721eededededededededededededed7219721c93b2e4c6720d0511733d00721393b2e4c6720d0511733e00721493e4c6720d0608720293e4c6720d0705733f93e4c6720d0805734093e4c6720d0905721593720e734193b1db6308721d7342938cb2db6308721d73430001734490b2e4c6720d0511734500734690b2e4c6720d05117347007348d801d61fe4c6720d0511928cb2db6308721d73490002999ab2721f734a00b2721f734b009a72117212734c734d734ed1ecec95ed720893720c734f9591721b735095721eededededededededed92c1721da29d9c7216720b7351735293c2b2a5735300d0720292c1b2a57354007216721993720e7355721cda721801735693e4c6720d0705735793e4c6720d0805735893e4c6720d090572157359735a735b95eded7208721a93720c735c9592721b735d9593cbc2b2a5735e00e4c67201050e93cbc2b2a4735f00e4c67201070e73607361736295eded7208721a93720c7363ecededededed721c93e4c6720d0608720293e4c6720d0705736493e4c6720d0805736593e4c6720d0905721593720e7366ededededed93e4c6721d040e720f93e4c6721d0608720293e4c6721d0705736793e4c6721d0805736893e4c6721d09057215938cb2db6308721d73690002736a736b",
"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: 0\n5: false\n6: 0\n7: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 2\n14: 3\n15: 0\n16: 1\n17: 2\n18: 3\n19: 1\n20: 1\n21: 0\n22: 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)\n23: 0\n24: 1000\n25: 1000000\n26: 0\n27: 2\n28: 1\n29: 1\n30: false\n31: false\n32: 0\n33: 1\n34: 1000\n35: 1000000\n36: 2\n37: 0\n38: 1\n39: 2\n40: 3\n41: 0\n42: 0\n43: 0\n44: 0\n45: false\n46: false\n47: 0\n48: 2\n49: 0\n50: 2\n51: 1\n52: false\n53: 3\n54: 2\n55: 0\n56: 0\n57: 0\n58: false\n59: 0\n60: 2\n61: 2\n62: 3\n63: 0\n64: 0\n65: 2\n66: 1\n67: 0\n68: 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)\n69: 0\n70: 1000\n71: 1\n72: 1000\n73: 0\n74: 0\n75: 1\n76: false\n77: false\n78: false\n79: 2\n80: 3\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: 0\n89: false\n90: false\n91: false\n92: 1\n93: 4\n94: 2\n95: 2\n96: false\n97: false\n98: false\n99: 3\n100: 0\n101: 0\n102: 2\n103: 0\n104: 0\n105: 0\n106: 2\n107: 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) { (box9.tokens(placeholder[Int](4))._1 == coll3) && (box9.value >= l6) } else {\n placeholder[Boolean](5)\n }\n }\n val bool8 = func7(placeholder[Int](6))\n val coll9 = placeholder[SigmaProp](7).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](8))\n val l12 = SELF.R7[Long].get\n val box13 = OUTPUTS(placeholder[Int](9))\n val l14 = box13.tokens(placeholder[Int](10))._2\n val coll15 = SELF.R4[Coll[Byte]].get\n val coll16 = SELF.R5[Coll[Long]].get\n val l17 = coll16(placeholder[Int](11))\n val l18 = coll16(placeholder[Int](12))\n val l19 = coll16(placeholder[Int](13))\n val l20 = coll16(placeholder[Int](14))\n val l21 = SELF.R9[Long].get\n val l22 = SELF.R8[Long].get\n val l23 = box13.value\n val func24 = {(i24: Int) =>\n val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n (((coll26(placeholder[Int](15)) == l17) && (coll26(placeholder[Int](16)) == l18)) && (coll26(placeholder[Int](17)) == l19)) && (\n coll26(placeholder[Int](18)) == l20\n )\n }\n val bool25 = l23 == l10\n val bool26 = func7(placeholder[Int](19))\n val i27 = OUTPUTS.size\n val bool28 = box13.R4[Coll[Byte]].get == coll15\n val box29 = OUTPUTS(placeholder[Int](20))\n val bool30 = box29.propositionBytes == coll9\n sigmaProp(box1.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22)) && prop2 && sigmaProp((((if (!bool8) {(\n val box31 = OUTPUTS(placeholder[Int](23))\n val l32 = max(l10 * l11 / placeholder[Long](24), placeholder[Long](25))\n if (box31.propositionBytes == coll9) {(\n val tuple33 = box31.tokens(placeholder[Int](26))\n ((((tuple33._1 == coll3) && (tuple33._2 == placeholder[Long](27))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](28)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](29)).value >= l10 - l32 - l5)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool8 && (l12 == placeholder[Long](32))) {(\n val box31 = OUTPUTS(placeholder[Int](33))\n val l32 = l10 - box13.value\n if (box31.propositionBytes == coll9) { ((((((((box31.value >= max(max(l32, l32) * l11 / placeholder[Long](34), placeholder[Long](35))) && (l14 == placeholder[Long](36))) && (box13.R4[Coll[Byte]].get == coll15)) && {(i33: Int) =>\n val coll35 = OUTPUTS(i33).R5[Coll[Long]].get\n (((coll35(placeholder[Int](37)) == l17) && (coll35(placeholder[Int](38)) == l18)) && (coll35(placeholder[Int](39)) == l19)) && (coll35(placeholder[Int](40)) == l20)\n }(placeholder[Int](41))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](42))) && (box13.R8[Long].get == placeholder[Long](43))) && (box13.R9[Long].get == l21)) && (l22 == placeholder[Long](44)) } else { placeholder[Boolean](45) }\n )} else { placeholder[Boolean](46) }) || if (bool8 && (l12 == placeholder[Long](47))) { ((((((l23 == l10) && (l14 == placeholder[Long](48))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](49))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R9[Long].get == l21)) && \n val l31 = box13.R7[Long].get\n (l31 == placeholder[Long](50)) || ((l31 == placeholder[Long](51)) && (box13.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](52) }) || if (bool8 && (l12 != placeholder[Long](53))) { ((((((bool25 && (l14 == placeholder[Long](54))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](55))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](56))) && (box13.R8[Long].get == placeholder[Long](57))) && (box13.R9[Long].get == l21) } else { placeholder[Boolean](58) }) || if ((bool8 && (!bool26)) && (l12 == placeholder[Long](59))) { if (i27 > placeholder[Int](60)) { if (bool30) { ((((((((((((bool25 && bool28) && (box13.R5[Coll[Long]].get(placeholder[Int](61)) == l19)) && (box13.R5[Coll[Long]].get(placeholder[Int](62)) == l20)) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](63))) && (box13.R8[Long].get == placeholder[Long](64))) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](65))) && (box29.tokens.size == placeholder[Int](66))) && (box29.tokens(placeholder[Int](67))._1 == placeholder[Coll[Byte]](68))) && (box13.R5[Coll[Long]].get(placeholder[Int](69)) <= placeholder[Long](70))) && (box13.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && \n val coll31 = box13.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](73))._2 >= coll31(placeholder[Int](74)) + coll31(placeholder[Int](75)) - l17 + l18\n } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) } } else { placeholder[Boolean](78) }) || sigmaProp(\n (\n if (bool8 && (l12 == placeholder[Long](79))) {\n if (i27 > placeholder[Int](80)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l22 * l11 / placeholder[Long](81), placeholder[Long](82))) && (\n OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](84)).value >= l22)\n ) && bool25\n ) && (l14 == placeholder[Long](85))\n ) && bool28\n ) && func24(placeholder[Int](86))\n ) && (box13.R7[Long].get == placeholder[Long](87))\n ) && (box13.R8[Long].get == placeholder[Long](88))\n ) && (box13.R9[Long].get == l21)\n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) }\n } else { placeholder[Boolean](91) } || if ((bool8 && bool26) && (l12 == placeholder[Long](92))) {\n if (i27 >= placeholder[Int](93)) {\n if (blake2b256(OUTPUTS(placeholder[Int](94)).propositionBytes) == box1.R5[Coll[Byte]].get) {\n blake2b256(INPUTS(placeholder[Int](95)).propositionBytes) == box1.R7[Coll[Byte]].get\n } else { placeholder[Boolean](96) }\n } else { placeholder[Boolean](97) }\n } else { placeholder[Boolean](98) }\n ) || if ((bool8 && bool26) && (l12 == placeholder[Long](99))) {\n (\n (\n (\n ((bool28 && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](100))) && (box13.R8[Long].get == placeholder[Long](101))\n ) && (box13.R9[Long].get == l21)\n ) && (l14 == placeholder[Long](102))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll15) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](103))) && (\n box29.R8[Long].get == placeholder[Long](104)\n )\n ) && (box29.R9[Long].get == l21)\n ) && (box29.tokens(placeholder[Int](105))._2 == placeholder[Long](106))\n )\n } else { placeholder[Boolean](107) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 1,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11045c5c0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[46,46,0,0]"
},
"R6": {
"serializedValue": "08cd03c0cba1f4b1723e391403dc3d415aac57aa27986090b41a02cac0418c05b23376",
"sigmaType": "SSigmaProp",
"renderedValue": "03c0cba1f4b1723e391403dc3d415aac57aa27986090b41a02cac0418c05b23376"
},
"R8": {
"serializedValue": "0580def368",
"sigmaType": "SLong",
"renderedValue": "110000000"
},
"R7": {
"serializedValue": "0506",
"sigmaType": "SLong",
"renderedValue": "3"
},
"R9": {
"serializedValue": "0542",
"sigmaType": "SLong",
"renderedValue": "33"
},
"R4": {
"serializedValue": "0e99015067723435363a3030303030303a6666353533373a313a343a4d3231332e352c313732513230302c3231392c3135302c3232362e35513130302c3233342c36372e352c3230312e355133352c3136392c32362e352c3132312e355131382c37342c35392c34332e35513130302c31332c3133372e352c3338513137352c36332c3230312c3934513232372c3132352c3231332e352c3137325a",
"sigmaType": "Coll[SByte]",
"renderedValue": "5067723435363a3030303030303a6666353533373a313a343a4d3231332e352c313732513230302c3231392c3135302c3232362e35513130302c3233342c36372e352c3230312e355133352c3136392c32362e352c3132312e355131382c37342c35392c34332e35513130302c31332c3133372e352c3338513137352c36332c3230312c3934513232372c3132352c3231332e352c3137325a"
}
}
},
{
"boxId": "f11d23c7090073f75c10e1bfaa7cbb40dd72b8d0cdb155f167f6ce4bcf10257a",
"value": 218000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "c07ea7ac24708ccd9c030517257976254a11d3c98528bb9a5ece3cc5212d6ec0",
"outputTransactionId": "0f5031269b1508e18b4e758ea50b1484d3483893607b7978dd40c4064979ad0a",
"outputIndex": 2,
"outputGlobalIndex": 20416897,
"outputCreatedAt": 819382,
"outputSettledAt": 819385,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 0\n4: 1\n5: 3\n6: CBigInt(-1)\n7: 1\n8: 2\n9: 5\n10: 5\n11: 4\n12: 1\n13: 2\n14: 5\n15: 5\n16: 0\n17: 3\n18: 6\n19: 3\n20: 2\n21: 4\n22: 0\n23: 3\n24: 6\n25: 3\n26: 2\n27: 4\n28: 3\n29: 5\n30: 1\n31: 2\n32: 0\n33: 1\n34: 3\n35: 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)\n36: 3\n37: 2\n38: 0\n39: 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)\n40: 0\n41: 0\n42: false\n43: 0\n44: 0\n45: false\n46: 2\n47: 2\n48: 2000000\n49: 2\n50: 2\n51: 2000000\n52: 2\n53: 1\n54: 0\n55: 0\n56: 0\n57: false\n58: 3\n59: 1\n60: 0\n61: 0\n62: 0\n63: false\n64: 0\n65: 1\n66: 2\n67: 1\n68: 3\n69: 1\n70: 0\n71: 1\n72: 2\n73: 1\n74: 3\n75: false\n76: 0\n77: 1\n78: 2\n79: 1\n80: 3\n81: 1\n82: 0\n83: 1\n84: 2\n85: 1\n86: 3\n87: false",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = OUTPUTS(placeholder[Int](1))\n val coll3 = box1.R4[Coll[Byte]].get\n val prop4 = SELF.R4[SigmaProp].get\n val box5 = OUTPUTS(placeholder[Int](2))\n val prop6 = SELF.R7[SigmaProp].get\n val coll7 = CONTEXT.headers(placeholder[Int](3)).id\n val bi8 = byteArrayToBigInt(coll7.slice(placeholder[Int](4), placeholder[Int](5)))\n val bi9 = placeholder[BigInt](6)\n val coll10 = SELF.R9[Coll[Long]].get\n val l11 = coll10(placeholder[Int](7))\n val l12 = coll10(placeholder[Int](8))\n val l13 = placeholder[Long](9) * l11 + placeholder[Long](10) * l12\n val coll14 = box1.R6[Coll[Long]].get\n val l15 = coll14(placeholder[Int](11))\n val coll16 = SELF.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](12))\n val l18 = coll16(placeholder[Int](13))\n val l19 = placeholder[Long](14) * l17 + placeholder[Long](15) * l18\n val l20 = coll10(placeholder[Int](16))\n val l21 = coll10(placeholder[Int](17))\n val l22 = placeholder[Long](18) * l20 + placeholder[Long](19) * l11 + placeholder[Long](20) * l12 + placeholder[Long](21) * l21\n val l23 = coll16(placeholder[Int](22))\n val l24 = coll16(placeholder[Int](23))\n val l25 = placeholder[Long](24) * l23 + placeholder[Long](25) * l17 + placeholder[Long](26) * l18 + placeholder[Long](27) * l24\n val bi26 = max(max(bi8, bi9 * bi8), min(l13 + l15, l19).toBigInt) + min(l22 + l15, l25).toBigInt\n val bi27 = byteArrayToBigInt(coll7.slice(placeholder[Int](28), placeholder[Int](29)))\n val bi28 = max(max(bi27, bi9 * bi27), min(l19 + l15, l13).toBigInt) + min(l25 + l15, l22).toBigInt\n val bool29 = bi26 > bi28\n val l30 = coll14(placeholder[Int](30))\n val l31 = SELF.value + l30 / placeholder[Long](31)\n val l32 = INPUTS(placeholder[Int](32)).value\n val l33 = INPUTS(placeholder[Int](33)).value\n val bool34 = bi26 <= bi28\n val bool35 = OUTPUTS.size > placeholder[Int](34)\n val coll36 = placeholder[Coll[Byte]](35)\n val l37 = coll14(placeholder[Int](36))\n val l38 = coll14(placeholder[Int](37))\n val opt39 = box2.R5[Coll[Long]]\n val opt40 = box5.R5[Coll[Long]]\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](38))._1 == placeholder[Coll[Byte]](39), if (blake2b256(box2.propositionBytes) == coll3) {\n (((box2.R6[SigmaProp].get == prop4) && (box2.R7[Long].get == placeholder[Long](40))) && (box2.R8[Long].get == placeholder[Long](41))) && (\n box2.R9[Long].get == SELF.R5[Long].get\n )\n } else { placeholder[Boolean](42) }, if (blake2b256(box5.propositionBytes) == coll3) {\n (((box5.R6[SigmaProp].get == prop6) && (box5.R7[Long].get == placeholder[Long](43))) && (box5.R8[Long].get == placeholder[Long](44))) && (\n box5.R9[Long].get == SELF.R8[Long].get\n )\n } else { placeholder[Boolean](45) }, anyOf(\n Coll[Boolean](\n (bool29 && (box2.value == l32 + placeholder[Long](46) * l31 - placeholder[Long](47) * l30 - placeholder[Long](48))) && (box5.value == l33), (\n bool34 && (box2.value == l32)\n ) && (box5.value == l33 + placeholder[Long](49) * l31 - placeholder[Long](50) * l30 - placeholder[Long](51))\n )\n ), if (bool35) {(\n val box41 = OUTPUTS(placeholder[Int](52))\n (\n ((box41.propositionBytes == prop4.propBytes) && (box41.tokens.size == placeholder[Int](53))) && (box41.tokens(placeholder[Int](54))._1 == coll36)\n ) && ((bool29 && (box41.tokens(placeholder[Int](55))._2 == l37)) || (bool34 && (box41.tokens(placeholder[Int](56))._2 == l38)))\n )} else { placeholder[Boolean](57) }, if (bool35) {(\n val box41 = OUTPUTS(placeholder[Int](58))\n (\n ((box41.propositionBytes == prop6.propBytes) && (box41.tokens.size == placeholder[Int](59))) && (box41.tokens(placeholder[Int](60))._1 == coll36)\n ) && ((bool29 && (box41.tokens(placeholder[Int](61))._2 == l38)) || (bool34 && (box41.tokens(placeholder[Int](62))._2 == l37)))\n )} else { placeholder[Boolean](63) }, if (opt39.isDefined) {(\n val coll41 = opt39.get\n anyOf(\n Coll[Boolean](\n (\n ((bool29 && (coll41(placeholder[Int](64)) == l23)) && (coll41(placeholder[Int](65)) == l17)) && (\n coll41(placeholder[Int](66)) == l18 + placeholder[Long](67)\n )\n ) && (coll41(placeholder[Int](68)) == l24 + placeholder[Long](69)), (\n ((bool34 && (coll41(placeholder[Int](70)) == l23)) && (coll41(placeholder[Int](71)) == l17)) && (\n coll41(placeholder[Int](72)) == l18 + placeholder[Long](73)\n )\n ) && (coll41(placeholder[Int](74)) == l24)\n )\n )\n )} else { placeholder[Boolean](75) }, if (opt40.isDefined) {(\n val coll41 = opt40.get\n anyOf(\n Coll[Boolean](\n (\n ((bool34 && (coll41(placeholder[Int](76)) == l20)) && (coll41(placeholder[Int](77)) == l11)) && (\n coll41(placeholder[Int](78)) == l12 + placeholder[Long](79)\n )\n ) && (coll41(placeholder[Int](80)) == l21 + placeholder[Long](81)), (\n ((bool29 && (coll41(placeholder[Int](82)) == l20)) && (coll41(placeholder[Int](83)) == l11)) && (\n coll41(placeholder[Int](84)) == l12 + placeholder[Long](85)\n )\n ) && (coll41(placeholder[Int](86)) == l21)\n )\n )\n )} else { placeholder[Boolean](87) }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "25ea05523dc54837ea5e255a82359da4f1969bda95cabaed5b064f14752d1901",
"index": 1,
"amount": 4,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "053e",
"sigmaType": "SLong",
"renderedValue": "31"
},
"R6": {
"serializedValue": "11042a2a0604",
"sigmaType": "Coll[SLong]",
"renderedValue": "[21,21,3,2]"
},
"R8": {
"serializedValue": "0542",
"sigmaType": "SLong",
"renderedValue": "33"
},
"R7": {
"serializedValue": "08cd03c0cba1f4b1723e391403dc3d415aac57aa27986090b41a02cac0418c05b23376",
"sigmaType": "SSigmaProp",
"renderedValue": "03c0cba1f4b1723e391403dc3d415aac57aa27986090b41a02cac0418c05b23376"
},
"R9": {
"serializedValue": "11045c5c0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[46,46,0,0]"
},
"R4": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
}
}
}
],
"dataInputs": [
{
"boxId": "d01367ba26b7fe687c4e994e63e0d599092a9281748d1f9e1d8b070e9afaa3a7",
"value": 1000000,
"index": 0,
"outputBlockId": "4727d9f23ffd1dffb2e5aaa84200804df1af92a39d1a7162e6e3e51f93a47bb8",
"outputTransactionId": "db2c36dd21a5f7c643f1b27049d15e6740f31f8fcf0ece69add81be2b0a8f227",
"outputIndex": 0,
"ergoTree": "100308cd0358ca7a890f5c237eca72e0d7f8290e808b089690504a0c47805cf489767ea53e04020400eb027300d19373017302",
"address": "5p1BsJCFXC4ZzEJPeAkj4z1evEpr6zks4WSYXdEjU2svhFRTWfDcZHTHW38Cr1fDScsirutqoNCe",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2063f3775a1a28ecd4311a34d87c357bf433979175d359d834e6f53b06b9517d07",
"sigmaType": "Coll[SByte]",
"renderedValue": "63f3775a1a28ecd4311a34d87c357bf433979175d359d834e6f53b06b9517d07"
},
"R5": {
"serializedValue": "0e20e79d151f49f523c029e72e0d91a1a469bf867a8b958cc22a3522a1aab284197e",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79d151f49f523c029e72e0d91a1a469bf867a8b958cc22a3522a1aab284197e"
},
"R6": {
"serializedValue": "1106148092f4010206c83380897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,2000000,1,3,3300,1000000]"
},
"R7": {
"serializedValue": "0e20f7721d5251645e89443b3411061aba2db50ed3676a9bb4494777ed42a51a2bce",
"sigmaType": "Coll[SByte]",
"renderedValue": "f7721d5251645e89443b3411061aba2db50ed3676a9bb4494777ed42a51a2bce"
}
}
}
],
"outputs": [
{
"boxId": "9bf62804da01b58d67349132e416feca812d15801a20a7e0d125f700a7f23621",
"transactionId": "62bf2d4fc51e01f2acac32b00e5eaa8ad22bcd6b6e5f55dad9d5dc23933905af",
"blockId": "67d5f1abeab943bcbee4c2f458abff6edd88eaf50914367fa695c2462a5222d0",
"value": 409000000,
"index": 0,
"globalIndex": 20417068,
"creationHeight": 819385,
"settlementHeight": 819389,
"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: 0\n5: false\n6: 0\n7: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 2\n14: 3\n15: 0\n16: 1\n17: 2\n18: 3\n19: 1\n20: 1\n21: 0\n22: 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)\n23: 0\n24: 1000\n25: 1000000\n26: 0\n27: 2\n28: 1\n29: 1\n30: false\n31: false\n32: 0\n33: 1\n34: 1000\n35: 1000000\n36: 2\n37: 0\n38: 1\n39: 2\n40: 3\n41: 0\n42: 0\n43: 0\n44: 0\n45: false\n46: false\n47: 0\n48: 2\n49: 0\n50: 2\n51: 1\n52: false\n53: 3\n54: 2\n55: 0\n56: 0\n57: 0\n58: false\n59: 0\n60: 2\n61: 2\n62: 3\n63: 0\n64: 0\n65: 2\n66: 1\n67: 0\n68: 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)\n69: 0\n70: 1000\n71: 1\n72: 1000\n73: 0\n74: 0\n75: 1\n76: false\n77: false\n78: false\n79: 2\n80: 3\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: 0\n89: false\n90: false\n91: false\n92: 1\n93: 4\n94: 2\n95: 2\n96: false\n97: false\n98: false\n99: 3\n100: 0\n101: 0\n102: 2\n103: 0\n104: 0\n105: 0\n106: 2\n107: 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) { (box9.tokens(placeholder[Int](4))._1 == coll3) && (box9.value >= l6) } else {\n placeholder[Boolean](5)\n }\n }\n val bool8 = func7(placeholder[Int](6))\n val coll9 = placeholder[SigmaProp](7).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](8))\n val l12 = SELF.R7[Long].get\n val box13 = OUTPUTS(placeholder[Int](9))\n val l14 = box13.tokens(placeholder[Int](10))._2\n val coll15 = SELF.R4[Coll[Byte]].get\n val coll16 = SELF.R5[Coll[Long]].get\n val l17 = coll16(placeholder[Int](11))\n val l18 = coll16(placeholder[Int](12))\n val l19 = coll16(placeholder[Int](13))\n val l20 = coll16(placeholder[Int](14))\n val l21 = SELF.R9[Long].get\n val l22 = SELF.R8[Long].get\n val l23 = box13.value\n val func24 = {(i24: Int) =>\n val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n (((coll26(placeholder[Int](15)) == l17) && (coll26(placeholder[Int](16)) == l18)) && (coll26(placeholder[Int](17)) == l19)) && (\n coll26(placeholder[Int](18)) == l20\n )\n }\n val bool25 = l23 == l10\n val bool26 = func7(placeholder[Int](19))\n val i27 = OUTPUTS.size\n val bool28 = box13.R4[Coll[Byte]].get == coll15\n val box29 = OUTPUTS(placeholder[Int](20))\n val bool30 = box29.propositionBytes == coll9\n sigmaProp(box1.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22)) && prop2 && sigmaProp((((if (!bool8) {(\n val box31 = OUTPUTS(placeholder[Int](23))\n val l32 = max(l10 * l11 / placeholder[Long](24), placeholder[Long](25))\n if (box31.propositionBytes == coll9) {(\n val tuple33 = box31.tokens(placeholder[Int](26))\n ((((tuple33._1 == coll3) && (tuple33._2 == placeholder[Long](27))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](28)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](29)).value >= l10 - l32 - l5)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool8 && (l12 == placeholder[Long](32))) {(\n val box31 = OUTPUTS(placeholder[Int](33))\n val l32 = l10 - box13.value\n if (box31.propositionBytes == coll9) { ((((((((box31.value >= max(max(l32, l32) * l11 / placeholder[Long](34), placeholder[Long](35))) && (l14 == placeholder[Long](36))) && (box13.R4[Coll[Byte]].get == coll15)) && {(i33: Int) =>\n val coll35 = OUTPUTS(i33).R5[Coll[Long]].get\n (((coll35(placeholder[Int](37)) == l17) && (coll35(placeholder[Int](38)) == l18)) && (coll35(placeholder[Int](39)) == l19)) && (coll35(placeholder[Int](40)) == l20)\n }(placeholder[Int](41))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](42))) && (box13.R8[Long].get == placeholder[Long](43))) && (box13.R9[Long].get == l21)) && (l22 == placeholder[Long](44)) } else { placeholder[Boolean](45) }\n )} else { placeholder[Boolean](46) }) || if (bool8 && (l12 == placeholder[Long](47))) { ((((((l23 == l10) && (l14 == placeholder[Long](48))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](49))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R9[Long].get == l21)) && \n val l31 = box13.R7[Long].get\n (l31 == placeholder[Long](50)) || ((l31 == placeholder[Long](51)) && (box13.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](52) }) || if (bool8 && (l12 != placeholder[Long](53))) { ((((((bool25 && (l14 == placeholder[Long](54))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](55))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](56))) && (box13.R8[Long].get == placeholder[Long](57))) && (box13.R9[Long].get == l21) } else { placeholder[Boolean](58) }) || if ((bool8 && (!bool26)) && (l12 == placeholder[Long](59))) { if (i27 > placeholder[Int](60)) { if (bool30) { ((((((((((((bool25 && bool28) && (box13.R5[Coll[Long]].get(placeholder[Int](61)) == l19)) && (box13.R5[Coll[Long]].get(placeholder[Int](62)) == l20)) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](63))) && (box13.R8[Long].get == placeholder[Long](64))) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](65))) && (box29.tokens.size == placeholder[Int](66))) && (box29.tokens(placeholder[Int](67))._1 == placeholder[Coll[Byte]](68))) && (box13.R5[Coll[Long]].get(placeholder[Int](69)) <= placeholder[Long](70))) && (box13.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && \n val coll31 = box13.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](73))._2 >= coll31(placeholder[Int](74)) + coll31(placeholder[Int](75)) - l17 + l18\n } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) } } else { placeholder[Boolean](78) }) || sigmaProp(\n (\n if (bool8 && (l12 == placeholder[Long](79))) {\n if (i27 > placeholder[Int](80)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l22 * l11 / placeholder[Long](81), placeholder[Long](82))) && (\n OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](84)).value >= l22)\n ) && bool25\n ) && (l14 == placeholder[Long](85))\n ) && bool28\n ) && func24(placeholder[Int](86))\n ) && (box13.R7[Long].get == placeholder[Long](87))\n ) && (box13.R8[Long].get == placeholder[Long](88))\n ) && (box13.R9[Long].get == l21)\n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) }\n } else { placeholder[Boolean](91) } || if ((bool8 && bool26) && (l12 == placeholder[Long](92))) {\n if (i27 >= placeholder[Int](93)) {\n if (blake2b256(OUTPUTS(placeholder[Int](94)).propositionBytes) == box1.R5[Coll[Byte]].get) {\n blake2b256(INPUTS(placeholder[Int](95)).propositionBytes) == box1.R7[Coll[Byte]].get\n } else { placeholder[Boolean](96) }\n } else { placeholder[Boolean](97) }\n } else { placeholder[Boolean](98) }\n ) || if ((bool8 && bool26) && (l12 == placeholder[Long](99))) {\n (\n (\n (\n ((bool28 && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](100))) && (box13.R8[Long].get == placeholder[Long](101))\n ) && (box13.R9[Long].get == l21)\n ) && (l14 == placeholder[Long](102))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll15) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](103))) && (\n box29.R8[Long].get == placeholder[Long](104)\n )\n ) && (box29.R9[Long].get == l21)\n ) && (box29.tokens(placeholder[Int](105))._2 == placeholder[Long](106))\n )\n } else { placeholder[Boolean](107) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11042a2a0806",
"sigmaType": "Coll[SLong]",
"renderedValue": "[21,21,4,3]"
},
"R6": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "053e",
"sigmaType": "SLong",
"renderedValue": "31"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "4672616e6369732d426c6f62204e47616e6e6f753a3465313535343a3031303530303a333a343a4d3230312e352c313532513139302c3137392c3136372e352c3230372e35513134352c3233362c3131322c3232302e355137392c3230352c35382c3138315133372c3135372c32352e352c3132315131342c38352c35302c37312e355138362c35382c3131362c3332513134362c362c3136352c3431513138342c37362c3139382e352c3130302e35513231332c3132352c3230312e352c3135325a"
}
},
"spentTransactionId": "b793fd865154a213660993e8f176cb4373511a12e18400dac489ed9093b4b54c",
"mainChain": true
},
{
"boxId": "b7f9e761c94400aa5e7b34b7a5bf6854828cb4648193c81846b565320a13b296",
"transactionId": "62bf2d4fc51e01f2acac32b00e5eaa8ad22bcd6b6e5f55dad9d5dc23933905af",
"blockId": "67d5f1abeab943bcbee4c2f458abff6edd88eaf50914367fa695c2462a5222d0",
"value": 97000000,
"index": 1,
"globalIndex": 20417069,
"creationHeight": 819385,
"settlementHeight": 819389,
"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: 0\n5: false\n6: 0\n7: SigmaProp(ProveDlog(ECPoint(58ca7a,e397d7,...)))\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 2\n14: 3\n15: 0\n16: 1\n17: 2\n18: 3\n19: 1\n20: 1\n21: 0\n22: 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)\n23: 0\n24: 1000\n25: 1000000\n26: 0\n27: 2\n28: 1\n29: 1\n30: false\n31: false\n32: 0\n33: 1\n34: 1000\n35: 1000000\n36: 2\n37: 0\n38: 1\n39: 2\n40: 3\n41: 0\n42: 0\n43: 0\n44: 0\n45: false\n46: false\n47: 0\n48: 2\n49: 0\n50: 2\n51: 1\n52: false\n53: 3\n54: 2\n55: 0\n56: 0\n57: 0\n58: false\n59: 0\n60: 2\n61: 2\n62: 3\n63: 0\n64: 0\n65: 2\n66: 1\n67: 0\n68: 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)\n69: 0\n70: 1000\n71: 1\n72: 1000\n73: 0\n74: 0\n75: 1\n76: false\n77: false\n78: false\n79: 2\n80: 3\n81: 1000\n82: 1000000\n83: 2\n84: 2\n85: 2\n86: 0\n87: 0\n88: 0\n89: false\n90: false\n91: false\n92: 1\n93: 4\n94: 2\n95: 2\n96: false\n97: false\n98: false\n99: 3\n100: 0\n101: 0\n102: 2\n103: 0\n104: 0\n105: 0\n106: 2\n107: 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) { (box9.tokens(placeholder[Int](4))._1 == coll3) && (box9.value >= l6) } else {\n placeholder[Boolean](5)\n }\n }\n val bool8 = func7(placeholder[Int](6))\n val coll9 = placeholder[SigmaProp](7).propBytes\n val l10 = SELF.value\n val l11 = coll4(placeholder[Int](8))\n val l12 = SELF.R7[Long].get\n val box13 = OUTPUTS(placeholder[Int](9))\n val l14 = box13.tokens(placeholder[Int](10))._2\n val coll15 = SELF.R4[Coll[Byte]].get\n val coll16 = SELF.R5[Coll[Long]].get\n val l17 = coll16(placeholder[Int](11))\n val l18 = coll16(placeholder[Int](12))\n val l19 = coll16(placeholder[Int](13))\n val l20 = coll16(placeholder[Int](14))\n val l21 = SELF.R9[Long].get\n val l22 = SELF.R8[Long].get\n val l23 = box13.value\n val func24 = {(i24: Int) =>\n val coll26 = OUTPUTS(i24).R5[Coll[Long]].get\n (((coll26(placeholder[Int](15)) == l17) && (coll26(placeholder[Int](16)) == l18)) && (coll26(placeholder[Int](17)) == l19)) && (\n coll26(placeholder[Int](18)) == l20\n )\n }\n val bool25 = l23 == l10\n val bool26 = func7(placeholder[Int](19))\n val i27 = OUTPUTS.size\n val bool28 = box13.R4[Coll[Byte]].get == coll15\n val box29 = OUTPUTS(placeholder[Int](20))\n val bool30 = box29.propositionBytes == coll9\n sigmaProp(box1.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22)) && prop2 && sigmaProp((((if (!bool8) {(\n val box31 = OUTPUTS(placeholder[Int](23))\n val l32 = max(l10 * l11 / placeholder[Long](24), placeholder[Long](25))\n if (box31.propositionBytes == coll9) {(\n val tuple33 = box31.tokens(placeholder[Int](26))\n ((((tuple33._1 == coll3) && (tuple33._2 == placeholder[Long](27))) && (box31.value >= l32)) && (OUTPUTS(placeholder[Int](28)).propositionBytes == prop2.propBytes)) && (OUTPUTS(placeholder[Int](29)).value >= l10 - l32 - l5)\n )} else { placeholder[Boolean](30) }\n )} else { placeholder[Boolean](31) } || if (bool8 && (l12 == placeholder[Long](32))) {(\n val box31 = OUTPUTS(placeholder[Int](33))\n val l32 = l10 - box13.value\n if (box31.propositionBytes == coll9) { ((((((((box31.value >= max(max(l32, l32) * l11 / placeholder[Long](34), placeholder[Long](35))) && (l14 == placeholder[Long](36))) && (box13.R4[Coll[Byte]].get == coll15)) && {(i33: Int) =>\n val coll35 = OUTPUTS(i33).R5[Coll[Long]].get\n (((coll35(placeholder[Int](37)) == l17) && (coll35(placeholder[Int](38)) == l18)) && (coll35(placeholder[Int](39)) == l19)) && (coll35(placeholder[Int](40)) == l20)\n }(placeholder[Int](41))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](42))) && (box13.R8[Long].get == placeholder[Long](43))) && (box13.R9[Long].get == l21)) && (l22 == placeholder[Long](44)) } else { placeholder[Boolean](45) }\n )} else { placeholder[Boolean](46) }) || if (bool8 && (l12 == placeholder[Long](47))) { ((((((l23 == l10) && (l14 == placeholder[Long](48))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](49))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R9[Long].get == l21)) && \n val l31 = box13.R7[Long].get\n (l31 == placeholder[Long](50)) || ((l31 == placeholder[Long](51)) && (box13.R8[Long].get <= l10 - l6))\n } else { placeholder[Boolean](52) }) || if (bool8 && (l12 != placeholder[Long](53))) { ((((((bool25 && (l14 == placeholder[Long](54))) && (box13.R4[Coll[Byte]].get == coll15)) && func24(placeholder[Int](55))) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](56))) && (box13.R8[Long].get == placeholder[Long](57))) && (box13.R9[Long].get == l21) } else { placeholder[Boolean](58) }) || if ((bool8 && (!bool26)) && (l12 == placeholder[Long](59))) { if (i27 > placeholder[Int](60)) { if (bool30) { ((((((((((((bool25 && bool28) && (box13.R5[Coll[Long]].get(placeholder[Int](61)) == l19)) && (box13.R5[Coll[Long]].get(placeholder[Int](62)) == l20)) && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](63))) && (box13.R8[Long].get == placeholder[Long](64))) && (box13.R9[Long].get == l21)) && (l14 == placeholder[Long](65))) && (box29.tokens.size == placeholder[Int](66))) && (box29.tokens(placeholder[Int](67))._1 == placeholder[Coll[Byte]](68))) && (box13.R5[Coll[Long]].get(placeholder[Int](69)) <= placeholder[Long](70))) && (box13.R5[Coll[Long]].get(placeholder[Int](71)) <= placeholder[Long](72))) && \n val coll31 = box13.R5[Coll[Long]].get\n box29.tokens(placeholder[Int](73))._2 >= coll31(placeholder[Int](74)) + coll31(placeholder[Int](75)) - l17 + l18\n } else { placeholder[Boolean](76) } } else { placeholder[Boolean](77) } } else { placeholder[Boolean](78) }) || sigmaProp(\n (\n if (bool8 && (l12 == placeholder[Long](79))) {\n if (i27 > placeholder[Int](80)) {\n if (bool30) {\n (\n (\n (\n (\n (\n (\n (\n (\n (box29.value >= max(l22 * l11 / placeholder[Long](81), placeholder[Long](82))) && (\n OUTPUTS(placeholder[Int](83)).propositionBytes == prop2.propBytes\n )\n ) && (OUTPUTS(placeholder[Int](84)).value >= l22)\n ) && bool25\n ) && (l14 == placeholder[Long](85))\n ) && bool28\n ) && func24(placeholder[Int](86))\n ) && (box13.R7[Long].get == placeholder[Long](87))\n ) && (box13.R8[Long].get == placeholder[Long](88))\n ) && (box13.R9[Long].get == l21)\n } else { placeholder[Boolean](89) }\n } else { placeholder[Boolean](90) }\n } else { placeholder[Boolean](91) } || if ((bool8 && bool26) && (l12 == placeholder[Long](92))) {\n if (i27 >= placeholder[Int](93)) {\n if (blake2b256(OUTPUTS(placeholder[Int](94)).propositionBytes) == box1.R5[Coll[Byte]].get) {\n blake2b256(INPUTS(placeholder[Int](95)).propositionBytes) == box1.R7[Coll[Byte]].get\n } else { placeholder[Boolean](96) }\n } else { placeholder[Boolean](97) }\n } else { placeholder[Boolean](98) }\n ) || if ((bool8 && bool26) && (l12 == placeholder[Long](99))) {\n (\n (\n (\n ((bool28 && (box13.R6[SigmaProp].get == prop2)) && (box13.R7[Long].get == placeholder[Long](100))) && (box13.R8[Long].get == placeholder[Long](101))\n ) && (box13.R9[Long].get == l21)\n ) && (l14 == placeholder[Long](102))\n ) || (\n (\n (\n (((box29.R4[Coll[Byte]].get == coll15) && (box29.R6[SigmaProp].get == prop2)) && (box29.R7[Long].get == placeholder[Long](103))) && (\n box29.R8[Long].get == placeholder[Long](104)\n )\n ) && (box29.R9[Long].get == l21)\n ) && (box29.tokens(placeholder[Int](105))._2 == placeholder[Long](106))\n )\n } else { placeholder[Boolean](107) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3aa40d9ff6ed965b0a7ed89f2dc75a5d040cc479636c98531e9505e6f568b57a",
"index": 0,
"amount": 2,
"name": "BLOB",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "11045c5c0200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[46,46,1,0]"
},
"R6": {
"serializedValue": "08cd03c0cba1f4b1723e391403dc3d415aac57aa27986090b41a02cac0418c05b23376",
"sigmaType": "SSigmaProp",
"renderedValue": "03c0cba1f4b1723e391403dc3d415aac57aa27986090b41a02cac0418c05b23376"
},
"R8": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R7": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R9": {
"serializedValue": "0542",
"sigmaType": "SLong",
"renderedValue": "33"
},
"R4": {
"serializedValue": "0e99015067723435363a3030303030303a6666353533373a313a343a4d3231332e352c313732513230302c3231392c3135302c3232362e35513130302c3233342c36372e352c3230312e355133352c3136392c32362e352c3132312e355131382c37342c35392c34332e35513130302c31332c3133372e352c3338513137352c36332c3230312c3934513232372c3132352c3231332e352c3137325a",
"sigmaType": "Coll[SByte]",
"renderedValue": "5067723435363a3030303030303a6666353533373a313a343a4d3231332e352c313732513230302c3231392c3135302c3232362e35513130302c3233342c36372e352c3230312e355133352c3136392c32362e352c3132312e355131382c37342c35392c34332e35513130302c31332c3133372e352c3338513137352c36332c3230312c3934513232372c3132352c3231332e352c3137325a"
}
},
"spentTransactionId": "0a60000f409ced71c7166b8746032773a80dfd910b865649567ed724a389db1f",
"mainChain": true
},
{
"boxId": "b64b68e6cbec4951881249a92b86dd02a0c650e0a913d0e774e448cec8c60459",
"transactionId": "62bf2d4fc51e01f2acac32b00e5eaa8ad22bcd6b6e5f55dad9d5dc23933905af",
"blockId": "67d5f1abeab943bcbee4c2f458abff6edd88eaf50914367fa695c2462a5222d0",
"value": 1000000,
"index": 2,
"globalIndex": 20417070,
"creationHeight": 819385,
"settlementHeight": 819389,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
"assets": [
{
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"index": 0,
"amount": 3,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "fd3082c44df8ceb7c9fcc02d885b15c1db29cb6079a2dfb77f42f319090ad285",
"mainChain": true
},
{
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"transactionId": "62bf2d4fc51e01f2acac32b00e5eaa8ad22bcd6b6e5f55dad9d5dc23933905af",
"blockId": "67d5f1abeab943bcbee4c2f458abff6edd88eaf50914367fa695c2462a5222d0",
"value": 1000000,
"index": 3,
"globalIndex": 20417071,
"creationHeight": 819385,
"settlementHeight": 819389,
"ergoTree": "0008cd03c0cba1f4b1723e391403dc3d415aac57aa27986090b41a02cac0418c05b23376",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c0cba1,6af860,...)))}",
"address": "9hviPhbAcBQiXgpkQaxKHXRhhpRwbXg1N8PyP4MgGt6GnmMBKPC",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Oatmeal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "0a60000f409ced71c7166b8746032773a80dfd910b865649567ed724a389db1f",
"mainChain": true
},
{
"boxId": "3b2f0d4bcd21c3b74726c4f8698db1edfc1048e4bd04b008fabc7077bee80dce",
"transactionId": "62bf2d4fc51e01f2acac32b00e5eaa8ad22bcd6b6e5f55dad9d5dc23933905af",
"blockId": "67d5f1abeab943bcbee4c2f458abff6edd88eaf50914367fa695c2462a5222d0",
"value": 2000000,
"index": 4,
"globalIndex": 20417072,
"creationHeight": 819385,
"settlementHeight": 819389,
"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": [],
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"spentTransactionId": "c8cab076cc40b2e7483f4c37400a87ffb060cdb4ff4fc995dc1f979a92c30d6a",
"mainChain": true
}
],
"size": 4170,
"isUnconfirmed": false
}