Transaction
ID: 019ef33a3e...3a40
Inputs (8)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0022 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0022 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
95
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
100
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0084 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
809.49
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 500,999
Total coins transferred: 0.0164 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000871 ERG
Raw Transaction Data
{
"id": "019ef33a3ebd32f8da0e60a7f3fa203f7aed42c6c5c35b3a518d2b35eb4c3a40",
"blockId": "327b58c8616213113f107e2972c514ba288cf798af661239bdec70f740bc4e9f",
"inclusionHeight": 1259945,
"timestamp": 1715169676135,
"index": 45,
"globalIndex": 7165011,
"numConfirmations": 500999,
"inputs": [
{
"boxId": "d22a731e0b787be4908d4a87a6618aeb52ea0140768f2ea0ed01c2a513b0003a",
"value": 2200000,
"index": 0,
"spendingProof": null,
"outputBlockId": "20483692816bbbfd0064a3688bad323695674f362d6a88f8d41794787fe8fe67",
"outputTransactionId": "1e53297f60bf7caaa0d89b61e6498b24ef3e79d2d282f770aada4f868ec974ff",
"outputIndex": 2,
"outputGlobalIndex": 37991764,
"outputCreatedAt": 1221963,
"outputSettledAt": 1221965,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
},
{
"boxId": "1075a3ef97af7999d49aa1a5b0de244602f28e62cde782397f8c5a9ccae71d9b",
"value": 2200000,
"index": 1,
"spendingProof": "54d93f0d175c7ccd3719cefc78c3c21431c35993c091f8353aea40cb7d006cee0f1741a7a27a48f1f5784c5e2e1d185f1939c7a3a01d0c2a",
"outputBlockId": "20483692816bbbfd0064a3688bad323695674f362d6a88f8d41794787fe8fe67",
"outputTransactionId": "1e53297f60bf7caaa0d89b61e6498b24ef3e79d2d282f770aada4f868ec974ff",
"outputIndex": 3,
"outputGlobalIndex": 37991765,
"outputCreatedAt": 1221963,
"outputSettledAt": 1221965,
"ergoTree": "0008cd03349d9244648ed913f18110417ffde85cee2fca02c785932d8a229363b86896ed",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(349d92,9d6432,...)))}",
"address": "9grygda768RvJtBvabzBqgTAehr4R3bP8hn8AzCvki3GUKDRCe4",
"assets": [
{
"tokenId": "b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2",
"index": 0,
"amount": 3,
"name": "WID-3d3d2-UKDRCe4",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "0495dbea8b645f9212e2149e2700f1238ac0e6ba4da5dac3ff6aaeb0067f4c85",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "a82c72ca35070c256f880d013494d221ad622c5ec55f74c556a8de06fc1fc7aa",
"outputTransactionId": "6e5ca62a8e760366685b2abdd346204f41882a80981560f440afc32fa1358f85",
"outputIndex": 2,
"outputGlobalIndex": 37938773,
"outputCreatedAt": 1220602,
"outputSettledAt": 1220607,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 797142,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2"
}
}
},
{
"boxId": "62877c097fbfe51d204f9abaf1333af58543b764437ec0c60738db7e6f3ae5f7",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "03eb92f7453284454534168f862c7d6fbd43fce59361b85179037b9e56f2f66a",
"outputTransactionId": "0a4507d843859f1ae75f2ce2be9cfacc7f68edc5560dc91cc064665b852d3753",
"outputIndex": 0,
"outputGlobalIndex": 37938637,
"outputCreatedAt": 1220599,
"outputSettledAt": 1220604,
"ergoTree": "101904000400040004000400040005000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e3040604000404040204000402050404000400040004000400040204000e201f86f709a22c768a98e8f6b31d1dfaff03d44a4fca2b19968378fe04b2e35e1104040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"name": "eRWT-loen",
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"type": "EIP-004"
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"index": 1,
"amount": 3333,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2"
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{
"boxId": "d0453e8651f84cd08ab53d71e36a162598f26c0822b50472da445ef89d812e1a",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "e16878ce8daddb34a84422584a6c973a9ce7839f360802a2c76a51ff8986d83c",
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
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"name": "eRWT-loen",
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"sigmaType": "Coll[SByte]",
"renderedValue": "b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2"
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"index": 5,
"spendingProof": null,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
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"name": "eRWT-loen",
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"name": "RSN-loen",
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 2857,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2"
}
}
},
{
"boxId": "1737da06703c6778deafdd5623113849fc30ddf8a6b671de0431caab34625d94",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "dfbd620b825d0d69b98845f6effc7b118ee332b8f5b7525001d2f1eccfaa9237",
"outputTransactionId": "41c8a09176d56eac22fef5bcb8a41d04c493c92052d2880653218b790b7306d6",
"outputIndex": 0,
"outputGlobalIndex": 37937724,
"outputCreatedAt": 1220583,
"outputSettledAt": 1220585,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 95000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "510bbffb46252a656a2776c8f7429dc6ba33f7d9782831a8164f94012c691874",
"transactionId": "019ef33a3ebd32f8da0e60a7f3fa203f7aed42c6c5c35b3a518d2b35eb4c3a40",
"blockId": "327b58c8616213113f107e2972c514ba288cf798af661239bdec70f740bc4e9f",
"value": 2000000,
"index": 0,
"globalIndex": 39909147,
"creationHeight": 1259943,
"settlementHeight": 1259945,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(31,-122,-9,9,-94,44,118,-118,-104,-24,-10,-77,29,29,-6,-1,3,-44,74,79,-54,43,25,-106,-125,120,-2,4,-78,-29,94,17)\n23: 2\n24: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = tuple3._1\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = INPUTS.filter({(box6: Box) =>\n val coll8 = box6.tokens\n ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n if (coll4 == placeholder[Coll[Byte]](7)) {(\n val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n val box8 = OUTPUTS(placeholder[Int](10))\n val coll9 = box8.tokens\n val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n )) {\n allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n } else { l6 == l10 }\n )\n )\n )\n )} else {(\n val coll7 = SELF.tokens(placeholder[Int](19))._1\n val box8 = OUTPUTS(placeholder[Int](20))\n val tuple9 = box8.tokens(placeholder[Int](21))\n val coll10 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n Coll[Byte]\n ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n Coll[Byte]\n ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n placeholder[Int](24)\n )._1 == coll5\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 100000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "74bb362b94dc10932894d35cb9a7910dcfc592b23437c534f34a0cbbe97d867f",
"mainChain": true
},
{
"boxId": "4a981782cf687be9c7c907c67c626a114af38cdc9c81e2ddda3441c0acc4d5cc",
"transactionId": "019ef33a3ebd32f8da0e60a7f3fa203f7aed42c6c5c35b3a518d2b35eb4c3a40",
"blockId": "327b58c8616213113f107e2972c514ba288cf798af661239bdec70f740bc4e9f",
"value": 2000000,
"index": 1,
"globalIndex": 39909148,
"creationHeight": 1259943,
"settlementHeight": 1259945,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(27,-116,76,37,40,-126,101,95,112,-33,-3,96,52,21,-26,19,-72,77,-52,-127,47,51,-28,-62,97,-88,-118,-109,37,-128,35,20)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-103,1,109,87,11,102,-57,24,-119,87,-53,114,-84,-65,19,26,-80,-66,118,17,-32,17,-70,71,-57,-125,-93,-61,-11,119,61,-81)\n26: 0\n27: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "c5c6e337aa9bebf87b1f174e1bc1c3019be44ebf72de5b55fbbdcd1f659b4881",
"index": 0,
"amount": 1000,
"name": "eRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2"
},
"R5": {
"serializedValue": "0e205f1e33e3aa8f7b6fd2d0add46d33b51fa0deb6a2ea96e7dfcf5436273c94c728",
"sigmaType": "Coll[SByte]",
"renderedValue": "5f1e33e3aa8f7b6fd2d0add46d33b51fa0deb6a2ea96e7dfcf5436273c94c728"
},
"R6": {
"serializedValue": "0e20800a560854d835d3e2dd614948282afc265a9efd23ed2a1ec13f9903d6d6672c",
"sigmaType": "Coll[SByte]",
"renderedValue": "800a560854d835d3e2dd614948282afc265a9efd23ed2a1ec13f9903d6d6672c"
},
"R7": {
"serializedValue": "0e206f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62",
"sigmaType": "Coll[SByte]",
"renderedValue": "6f72321bee6b7acb929662195f37c0f33015fea06510e2480810e829fe01da62"
}
},
"spentTransactionId": "7f90ea36068fedb3957527b66499d070779071efb82a18b611ccf36f243ef71e",
"mainChain": true
},
{
"boxId": "ff8632abe35484d0fbf4143689ef30cb38d1f228444da75759c079671945af97",
"transactionId": "019ef33a3ebd32f8da0e60a7f3fa203f7aed42c6c5c35b3a518d2b35eb4c3a40",
"blockId": "327b58c8616213113f107e2972c514ba288cf798af661239bdec70f740bc4e9f",
"value": 8400000,
"index": 2,
"globalIndex": 39909149,
"creationHeight": 1259943,
"settlementHeight": 1259945,
"ergoTree": "0008cd03349d9244648ed913f18110417ffde85cee2fca02c785932d8a229363b86896ed",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(349d92,9d6432,...)))}",
"address": "9grygda768RvJtBvabzBqgTAehr4R3bP8hn8AzCvki3GUKDRCe4",
"assets": [
{
"tokenId": "b82811ba9392127c28c97d9cd0fae9aacaa414d2dcead602afafc160c333d3d2",
"index": 0,
"amount": 3,
"name": "WID-3d3d2-UKDRCe4",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "74bb362b94dc10932894d35cb9a7910dcfc592b23437c534f34a0cbbe97d867f",
"mainChain": true
},
{
"boxId": "95aa23f277d42c1651a05482a7d1a7bb563fc6f384f2151ebb1744c21cbf62c7",
"transactionId": "019ef33a3ebd32f8da0e60a7f3fa203f7aed42c6c5c35b3a518d2b35eb4c3a40",
"blockId": "327b58c8616213113f107e2972c514ba288cf798af661239bdec70f740bc4e9f",
"value": 2000000,
"index": 3,
"globalIndex": 39909150,
"creationHeight": 1259943,
"settlementHeight": 1259945,
"ergoTree": "0008cd03349d9244648ed913f18110417ffde85cee2fca02c785932d8a229363b86896ed",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(349d92,9d6432,...)))}",
"address": "9grygda768RvJtBvabzBqgTAehr4R3bP8hn8AzCvki3GUKDRCe4",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 809486,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "7f694d82914fe961e1079bbd97ffcfab50c6b0ad99c60bb57f398dfafc42332c",
"mainChain": true
},
{
"boxId": "01c48611551fa1bb5d91bc9b6df15ac35f70dd454039e1e86e73330ca90567eb",
"transactionId": "019ef33a3ebd32f8da0e60a7f3fa203f7aed42c6c5c35b3a518d2b35eb4c3a40",
"blockId": "327b58c8616213113f107e2972c514ba288cf798af661239bdec70f740bc4e9f",
"value": 2000000,
"index": 4,
"globalIndex": 39909151,
"creationHeight": 1259943,
"settlementHeight": 1259945,
"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": "f2f52cdad8eb4e05fa63ec38f4fa487cca7bdd325a2332c64d35ccfd1f170392",
"mainChain": true
}
],
"size": 2296,
"isUnconfirmed": false
}