Transaction
ID: 1f6eb9101a...8b58
Inputs (9)
Spent
Address:
Output transaction:
Settlement height:
Value:
41.21 ERG
Tokens:
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Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
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Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
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Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
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Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
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Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
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Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
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Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
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Outputs (14)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Unspent
Unspent
Unspent
Unspent
Unspent
Unspent
Unspent
Unspent
Unspent
Unspent
Spent
Address:
Spent in transaction:
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Value:
0.33 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
40.85 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 995,436
Total coins transferred: 41.22 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000174 ERG
Raw Transaction Data
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"ergoTree": "0008cd02302e55a83bafe6f10d86278a8a80eb460c8ec6104e71faf754f92d54c7735061",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(302e55,19caf3,...)))}",
"address": "9etHEWyS1B1zyCd7mXiG1KeqmgkT45W5yyJRS1ZUck2WcZ36fYD",
"assets": [
{
"tokenId": "a4e3843a15130436d3537b34549505ce98b0425c881a9f944f10735fadbd51c8",
"index": 0,
"amount": 1,
"name": "Robot 90",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20364a67338fb66a708f297ff1c0e7455a654c049ebc225b704cadf1cee9a9eef0",
"sigmaType": "Coll[SByte]",
"renderedValue": "364a67338fb66a708f297ff1c0e7455a654c049ebc225b704cadf1cee9a9eef0"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "64107a462687d3415d2159c1ee4da589411d1b75a3c7e5ed2ec75f1edd96bb8e",
"transactionId": "1f6eb9101acbfe8941714ccb5bb5a8b6b5c9e06fbd0057fa79d35baa06638b58",
"blockId": "838539a006f48e17b8650a5c4a737ff035b3fcc299972c709d9b6cc6be150dab",
"value": 3000000,
"index": 0,
"globalIndex": 17395329,
"creationHeight": 763050,
"settlementHeight": 763052,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: Coll(-114,125,-17,38,-62,-51,98,-85,26,-2,87,-107,114,57,-23,66,-9,-64,-116,105,49,38,-90,99,88,-93,-8,80,40,-9,-73,-75)\n3: 50\n4: 0\n5: 1000\n6: 1\n7: Coll(0,8,-51,3,90,-3,5,1,-10,-11,-63,-55,-5,-98,-43,-81,-56,79,-68,2,-126,92,12,124,63,101,-105,15,-93,-29,-39,-56,-58,-85,-59,70)\n8: 0\n9: 0\n10: 900\n11: 2\n12: true\n13: 0\n14: 0\n15: 1\n16: Coll(0,8,-51,3,90,-3,5,1,-10,-11,-63,-55,-5,-98,-43,-81,-56,79,-68,2,-126,92,12,124,63,101,-105,15,-93,-29,-39,-56,-58,-85,-59,70)\n17: 0",
"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
"address": "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",
"assets": [
{
"tokenId": "4550530b3cbdcb7421f7d42ae3f2e365c96ef5cea32335c775c152b7dac4de89",
"index": 0,
"amount": 1,
"name": "Robot 100",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0580c8afa025",
"sigmaType": "SLong",
"renderedValue": "5000000000"
},
"R5": {
"serializedValue": "0e240008cd02302e55a83bafe6f10d86278a8a80eb460c8ec6104e71faf754f92d54c7735061",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02302e55a83bafe6f10d86278a8a80eb460c8ec6104e71faf754f92d54c7735061"
},
"R6": {
"serializedValue": "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",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0702302e55a83bafe6f10d86278a8a80eb460c8ec6104e71faf754f92d54c7735061",
"sigmaType": "SGroupElement",
"renderedValue": "02302e55a83bafe6f10d86278a8a80eb460c8ec6104e71faf754f92d54c7735061"
}
},
"spentTransactionId": "4aa0186cc1191cd396e8a061fbec73170d63ea76946cac17c195741b2e3ef548",
"mainChain": true
},
{
"boxId": "77f63d50daffbca7f7a4c23ecc11071e8f72e8e76bd5f39aaf982dd039e21b97",
"transactionId": "1f6eb9101acbfe8941714ccb5bb5a8b6b5c9e06fbd0057fa79d35baa06638b58",
"blockId": "838539a006f48e17b8650a5c4a737ff035b3fcc299972c709d9b6cc6be150dab",
"value": 3000000,
"index": 1,
"globalIndex": 17395330,
"creationHeight": 763050,
"settlementHeight": 763052,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: Coll(-114,125,-17,38,-62,-51,98,-85,26,-2,87,-107,114,57,-23,66,-9,-64,-116,105,49,38,-90,99,88,-93,-8,80,40,-9,-73,-75)\n3: 50\n4: 0\n5: 1000\n6: 1\n7: Coll(0,8,-51,3,90,-3,5,1,-10,-11,-63,-55,-5,-98,-43,-81,-56,79,-68,2,-126,92,12,124,63,101,-105,15,-93,-29,-39,-56,-58,-85,-59,70)\n8: 0\n9: 0\n10: 900\n11: 2\n12: true\n13: 0\n14: 0\n15: 1\n16: Coll(0,8,-51,3,90,-3,5,1,-10,-11,-63,-55,-5,-98,-43,-81,-56,79,-68,2,-126,92,12,124,63,101,-105,15,-93,-29,-39,-56,-58,-85,-59,70)\n17: 0",
"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
"address": "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",
"assets": [
{
"tokenId": "55a2d383e72c8be5b46513c6362130930875570008ff84a3d633d177e2a75593",
"index": 0,
"amount": 1,
"name": "Robot 99",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0580c8afa025",
"sigmaType": "SLong",
"renderedValue": "5000000000"
},
"R5": {
"serializedValue": "0e240008cd02302e55a83bafe6f10d86278a8a80eb460c8ec6104e71faf754f92d54c7735061",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02302e55a83bafe6f10d86278a8a80eb460c8ec6104e71faf754f92d54c7735061"
},
"R6": {
"serializedValue": "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",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0702302e55a83bafe6f10d86278a8a80eb460c8ec6104e71faf754f92d54c7735061",
"sigmaType": "SGroupElement",
"renderedValue": "02302e55a83bafe6f10d86278a8a80eb460c8ec6104e71faf754f92d54c7735061"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "a95af090f7d35ebb911ee1bd62c9ce29fcaffcce1d9e393c1bbfb316a2f422c1",
"transactionId": "1f6eb9101acbfe8941714ccb5bb5a8b6b5c9e06fbd0057fa79d35baa06638b58",
"blockId": "838539a006f48e17b8650a5c4a737ff035b3fcc299972c709d9b6cc6be150dab",
"value": 3000000,
"index": 2,
"globalIndex": 17395331,
"creationHeight": 763050,
"settlementHeight": 763052,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: Coll(-114,125,-17,38,-62,-51,98,-85,26,-2,87,-107,114,57,-23,66,-9,-64,-116,105,49,38,-90,99,88,-93,-8,80,40,-9,-73,-75)\n3: 50\n4: 0\n5: 1000\n6: 1\n7: Coll(0,8,-51,3,90,-3,5,1,-10,-11,-63,-55,-5,-98,-43,-81,-56,79,-68,2,-126,92,12,124,63,101,-105,15,-93,-29,-39,-56,-58,-85,-59,70)\n8: 0\n9: 0\n10: 900\n11: 2\n12: true\n13: 0\n14: 0\n15: 1\n16: Coll(0,8,-51,3,90,-3,5,1,-10,-11,-63,-55,-5,-98,-43,-81,-56,79,-68,2,-126,92,12,124,63,101,-105,15,-93,-29,-39,-56,-58,-85,-59,70)\n17: 0",
"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
"address": "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",
"assets": [
{
"tokenId": "6dc193012e56207dd7b741e321df7b2176c1e0824f1e54a27b2cba44b803ead2",
"index": 0,
"amount": 1,
"name": "Robot 98",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0580c8afa025",
"sigmaType": "SLong",
"renderedValue": "5000000000"
},
"R5": {
"serializedValue": "0e240008cd02302e55a83bafe6f10d86278a8a80eb460c8ec6104e71faf754f92d54c7735061",
"sigmaType": "Coll[SByte]",
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{
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"decimals": 0,
"type": "EIP-004"
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"sigmaType": "SLong",
"renderedValue": "5000000000"
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"R5": {
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{
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"index": 4,
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"creationHeight": 763050,
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"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Robot 96",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "SLong",
"renderedValue": "5000000000"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02302e55a83bafe6f10d86278a8a80eb460c8ec6104e71faf754f92d54c7735061"
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"sigmaType": null,
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"R7": {
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"sigmaType": "SGroupElement",
"renderedValue": "02302e55a83bafe6f10d86278a8a80eb460c8ec6104e71faf754f92d54c7735061"
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"spentTransactionId": null,
"mainChain": true
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{
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"blockId": "838539a006f48e17b8650a5c4a737ff035b3fcc299972c709d9b6cc6be150dab",
"value": 3000000,
"index": 5,
"globalIndex": 17395334,
"creationHeight": 763050,
"settlementHeight": 763052,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: Coll(-114,125,-17,38,-62,-51,98,-85,26,-2,87,-107,114,57,-23,66,-9,-64,-116,105,49,38,-90,99,88,-93,-8,80,40,-9,-73,-75)\n3: 50\n4: 0\n5: 1000\n6: 1\n7: Coll(0,8,-51,3,90,-3,5,1,-10,-11,-63,-55,-5,-98,-43,-81,-56,79,-68,2,-126,92,12,124,63,101,-105,15,-93,-29,-39,-56,-58,-85,-59,70)\n8: 0\n9: 0\n10: 900\n11: 2\n12: true\n13: 0\n14: 0\n15: 1\n16: Coll(0,8,-51,3,90,-3,5,1,-10,-11,-63,-55,-5,-98,-43,-81,-56,79,-68,2,-126,92,12,124,63,101,-105,15,-93,-29,-39,-56,-58,-85,-59,70)\n17: 0",
"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
"address": "26tpZU6i6zeBRuzZVo7tr47zjArAxkHP8x7ijiRbbrvLhySvSU84bH8wNPGGG27EwhJfJLe7bvRPv6B1jQFQqrWUQqBX1XJpVGoiNgveance6JFZ4mKv1KkRE8nBSB3jKBGnVJjJF6wR1Z8YXRsUqrTff4bfmtbhaRRjibnDDtKhS71spfjjTBeU1AhhQpitCDg4NFxmTLyV1arE7G2riZKzDryjWnCiEJGzWNxYtVt8uDxd3qNSRE5sHECwcsb98x7rn4q4FyHMvvWrRMPFfVgAQd5wHCAHwhMEdqUrSFQVkmUMavju8CLAgCNcVFjUBKPX4ooEHLUw3QkxS9Jp6fAFAGmzJ6QVD71mAZYMYhoEQnFyUBx1txJjVJjCrcZsW43dimbt5su4ahATJ8qRtWgwat8vTViTVXAcBmUSnqbqhAqTCxcsS5EFS6ApJSfthPHYUyXwtcbTptfdnUx1e5hEiGcwxoQ8ivufNNiZE9xkxi4nsBBrBVBJ7pfSSoHvbodkzLrq91RHYrvuatyLuBSxgJxs198xUQhULqxmWwgthJLrG5VVfVYH",
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{
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"sigmaType": "SLong",
"renderedValue": "5000000000"
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"R5": {
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{
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"index": 7,
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"creationHeight": 763050,
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"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Robot 93",
"decimals": 0,
"type": "EIP-004"
}
],
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"R4": {
"serializedValue": "0580c8afa025",
"sigmaType": "SLong",
"renderedValue": "5000000000"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02302e55a83bafe6f10d86278a8a80eb460c8ec6104e71faf754f92d54c7735061"
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"sigmaType": null,
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},
"R7": {
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"sigmaType": "SGroupElement",
"renderedValue": "02302e55a83bafe6f10d86278a8a80eb460c8ec6104e71faf754f92d54c7735061"
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},
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"mainChain": true
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{
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"transactionId": "1f6eb9101acbfe8941714ccb5bb5a8b6b5c9e06fbd0057fa79d35baa06638b58",
"blockId": "838539a006f48e17b8650a5c4a737ff035b3fcc299972c709d9b6cc6be150dab",
"value": 3000000,
"index": 8,
"globalIndex": 17395337,
"creationHeight": 763050,
"settlementHeight": 763052,
"ergoTree": "1012040604000e208e7def26c2cd62ab1afe57957239e942f7c08c693126a66358a3f85028f7b7b50564040005d00f04020e240008cd035afd0501f6f5c1c9fb9ed5afc84fbc02825c0c7c3f65970fa3e3d9c8c6abc5460500040004880e040401010400040004020e240008cd035afd0501f6f5c1c9fb9ed5afc84fbc02825c0c7c3f65970fa3e3d9c8c6abc546040095ed91b1a5730094cbc2b2a47301007302d804d601e4c6a70663d602c672010404d603e4c6a70405d6049d72037303d195e67202d804d605b2a5730400d606e47202d6079d9c72037e7206057305d608b2a57306009683070192c17205999972037204720793c27205e4c6a7050e93e4c67205040ec5a792c17208720493c27208730795eded947207730891720673098f7206730ad801d609b2a5730b00ed92c17209720793c27209c27201730c93c572018cb2db6308a7730d0001d802d605b2a5730e00d606b2a5730f009683060192c17205997203720493c27205e4c6a7050e93e4c67205040ec5a792c17206720493c27206731093c572018cb2db6308a773110001cde4c6a70707",
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"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
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"sigmaType": "SLong",
"renderedValue": "5000000000"
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"R5": {
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{
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"index": 9,
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"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
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"name": "Robot 91",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "SLong",
"renderedValue": "5000000000"
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"ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n val box1 = SELF.R6[Box].get\n val opt2 = box1.R4[Int]\n val l3 = SELF.R4[Long].get\n val l4 = l3 / placeholder[Long](3)\n sigmaProp(if (opt2.isDefined) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val i6 = opt2.get\n val l7 = l3 * i6.toLong / placeholder[Long](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n val box9 = OUTPUTS(placeholder[Int](11))\n (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n )} else {(\n val box5 = OUTPUTS(placeholder[Int](14))\n val box6 = OUTPUTS(placeholder[Int](15))\n allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
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"name": "Robot 90",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "SLong",
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"index": 11,
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"creationHeight": 763050,
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"ergoTree": "0008cd035afd0501f6f5c1c9fb9ed5afc84fbc02825c0c7c3f65970fa3e3d9c8c6abc546",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5afd05,88c665,...)))}",
"address": "9h9ssEYyHaosFg6BjZRRr2zxzdPPvdb7Gt7FA8x7N9492nUjpsd",
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