Transaction
ID: ecd55054ca...8776
Inputs (10)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
800 ERG
Tokens:
Loading assets...
Spent
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
50,500.00
Spent
Address:
Output transaction:
Settlement height:
Value:
1.41 ERG
Tokens:
Loading assets...
Spent
Output transaction:
Settlement height:
Value:
0.001991538 ERG
Tokens:
1
3,000
Spent
Output transaction:
Settlement height:
Value:
0.00198862 ERG
Tokens:
7
3,000
Spent
Output transaction:
Settlement height:
Value:
0.001991538 ERG
Tokens:
1
3,000
Spent
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
3,000
Spent
Output transaction:
Settlement height:
Value:
0.001991081 ERG
Tokens:
1
3,000
Spent
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
11.32
3,000
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
801.43 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 348,956
Total coins transferred: 801.43 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001196 ERG
Raw Transaction Data
{
"id": "ecd55054ca0ae68b248c1ed713430d3a13d4653bf1daaff6ecf7ec980ad18776",
"blockId": "8adb5de56814cd78006e8598bafdadaefa5131213be33acb55e12ce683650fa9",
"inclusionHeight": 1418670,
"timestamp": 1734380331427,
"index": 24,
"globalIndex": 8272420,
"numConfirmations": 348956,
"inputs": [
{
"boxId": "53850b64c34f793656fa973fa47664ad0eb76680c8064f432e9ba9ca5c180ed9",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "d713150cd219d15d2b000624fa7d66342fed2a0e18e3d218227ff52733c88bd9",
"outputTransactionId": "accd26bb465e7476564327820db5e90f7ab2569d37ab0adcc2753ea56a806e7f",
"outputIndex": 0,
"outputGlobalIndex": 44869160,
"outputCreatedAt": 1418655,
"outputSettledAt": 1418658,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\n3: true\n4: 1\n5: 1\n6: 3\n7: 3\n8: 2\n9: 2\n10: 0\n11: 2\n12: 1\n13: 0\n14: Coll(111,-113,115,-14,-72,70,73,13,-104,106,61,44,-97,80,-97,-75,110,47,-39,95,-64,16,12,122,31,106,-111,31,89,-22,118,59)\n15: 1\n16: 3\n17: 0\n18: 0\n19: 5\n20: 1\n21: 3\n22: 0\n23: Coll(-73,37,-74,-105,-76,65,38,109,-102,30,41,-78,41,29,109,19,115,4,26,-37,125,79,-117,14,-74,-78,-10,20,-21,51,85,121)\n24: 4\n25: 0\n26: 0\n27: 1\n28: true\n29: 0\n30: 1\n31: 2\n32: 1\n33: 0\n34: 1\n35: 1\n36: 1\n37: 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 = placeholder[Coll[Byte]](2)\n if (coll4 == coll5) { sigmaProp(placeholder[Boolean](3)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](4))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](5))\n val l10 = tuple9._2\n val tuple11 = coll6(placeholder[Int](6))\n val l12 = tuple11._2\n val tuple13 = coll2(placeholder[Int](7))\n val l14 = tuple13._2\n val tuple15 = coll2(placeholder[Int](8))\n val l16 = tuple15._2\n val tuple17 = coll6(placeholder[Int](9))\n val l18 = tuple17._2\n val coll19 = tuple7._1\n val tuple20 = coll6(placeholder[Int](10))\n val coll21 = tuple17._1\n val coll22 = tuple11._1\n val bool23 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.value >= SELF.value, coll4 == tuple20._1, tuple3._2 == tuple20._2, tuple9._1 == coll19, tuple15._1 == coll21, tuple13._1 == coll22, box1.R4[\n Coll[Byte]\n ].get == SELF.R4[Coll[Byte]].get\n )\n )\n if (l8 > l10) {(\n val box24 = OUTPUTS(placeholder[Int](11))\n val box25 = OUTPUTS(placeholder[Int](12))\n val l26 = l8 - l10\n val tuple27 = box24.tokens(placeholder[Int](13))\n val bool28 = allOf(\n Coll[Boolean](bool23, l26 == l16 - l18, tuple27._2 == l26, tuple27._1 == coll19, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (l14 == l12 - placeholder[Long](15)) {(\n val coll29 = SELF.id\n val tuple30 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n val box31 = CONTEXT.dataInputs(placeholder[Int](18))\n val coll32 = box31.R4[Coll[Long]].get\n val coll33 = box25.tokens\n val l34 = coll32(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.R5[Long].get == SELF.R5[Long].get + placeholder[Long](20), bool28, box24.R4[\n Coll[Byte]\n ].get == coll29, tuple30._1 == coll29, tuple30._2 >= placeholder[Long](21), box31.tokens(placeholder[Int](22))._1 == coll5, blake2b256(\n box25.propositionBytes\n ) == placeholder[Coll[Byte]](23), box25.R4[Coll[Byte]].get == coll29, box25.value >= coll32(placeholder[Int](24)), box25.R5[\n Long\n ].get == l26, coll33(placeholder[Int](25))._1 == coll22, if (l34 > placeholder[Long](26)) {(\n val tuple35 = coll33(placeholder[Int](27))\n allOf(Coll[Boolean](tuple35._1 == coll21, tuple35._2 >= l34))\n )} else { placeholder[Boolean](28) }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool28, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, l14 == l12, box1.R5[Long].get == SELF.R5[Long].get, box25.tokens(\n placeholder[Int](29)\n )._1 == coll22, INPUTS(placeholder[Int](30)).R5[Long].get + l26 == box25.R5[Long].get\n )\n )\n )\n }\n )} else {(\n val box24 = INPUTS(placeholder[Int](31))\n val box25 = INPUTS(placeholder[Int](32))\n val l26 = l10 - l8\n val l27 = box25.R5[Long].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, box24.tokens(placeholder[Int](33))._1 == coll19, l26 == l18 - l16, if (l27 > l26) {\n allOf(Coll[Boolean](l12 == l14, box1.R5[Long].get == SELF.R5[Long].get, l27 - l26 == OUTPUTS(placeholder[Int](34)).R5[Long].get))\n } else { allOf(Coll[Boolean](l14 == l12 + placeholder[Long](35), box1.R5[Long].get == SELF.R5[Long].get - placeholder[Long](36))) }, box25.tokens(\n placeholder[Int](37)\n )._1 == coll22\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660",
"index": 0,
"amount": 1,
"name": "rspv2RWTNFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 1,
"amount": 996578092804,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 2,
"amount": 3421907197,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "c2bdf69d3fd88c3a82149200fe756bffb850c1433ea8473f26664877cc7188b3",
"index": 3,
"amount": 1871,
"name": "rspv2ErgoAWC",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e046572676f",
"sigmaType": "Coll[SByte]",
"renderedValue": "6572676f"
},
"R5": {
"serializedValue": "058202",
"sigmaType": "SLong",
"renderedValue": "129"
}
}
},
{
"boxId": "5d99e462da542593cbb9a358682fcc9e1fb1aa4d9291ac09a46a2a1422e1e7a0",
"value": 800000000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "679060250c0c6548a957683c30bb6d9dca39846cedd814ad4f2c6d6a5b26c1c5",
"outputTransactionId": "a7dcd059031091bbc491c99346cc2bfe1fa2f717adac4aa055ae71ec059373f1",
"outputIndex": 1,
"outputGlobalIndex": 44480451,
"outputCreatedAt": 1410173,
"outputSettledAt": 1410177,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n5: 0\n6: 1\n7: 1\n8: 0\n9: 3\n10: 0\n11: 1\n12: 1\n13: 1\n14: true\n15: 0\n16: 3\n17: 0\n18: 2\n19: true\n20: 3\n21: 0\n22: 2\n23: 1\n24: 0\n25: 3\n26: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val l4 = box1.tokens(placeholder[Int](2))._2 - coll3(placeholder[Int](3))._2\n val l5 = SELF.R5[Long].get\n val coll6 = placeholder[Coll[Byte]](4)\n val coll7 = SELF.R4[Coll[Byte]].get\n if (l4 < l5) {(\n val coll8 = SELF.tokens\n val coll9 = coll8(placeholder[Int](5))._1\n val box10 = OUTPUTS(placeholder[Int](6))\n val coll11 = box10.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](7)).id, coll3(placeholder[Int](8))._1 == coll6, coll3(\n placeholder[Int](9)\n )._1 == coll9, box10.value == SELF.value, coll11(placeholder[Int](10))._1 == coll9, if (coll8.size > placeholder[Int](11)) {(\n val tuple12 = coll11(placeholder[Int](12))\n val tuple13 = coll8(placeholder[Int](13))\n (tuple12._1 == tuple13._1) && (tuple12._2 == tuple13._2)\n )} else { placeholder[Boolean](14) }, box10.R4[Coll[Byte]].get == coll7, box10.R5[Long].get + l4 == l5, if (l4 < placeholder[Long](15)) {(\n val tuple12 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n (tuple12._1 == coll7) && (tuple12._2 >= placeholder[Long](18))\n )} else { placeholder[Boolean](19) }\n )\n )\n )\n )} else {(\n val tuple8 = INPUTS(placeholder[Int](20)).tokens(placeholder[Int](21))\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple8._1 == coll7, tuple8._2 >= placeholder[Long](22), box1.R5[Long].get + placeholder[Long](23) == box2.R5[Long].get, coll3(\n placeholder[Int](24)\n )._1 == coll6, coll3(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1\n )\n )\n )\n )}\n}",
"address": "ChTbcUHgBNqNMVjzV1dvCb2UDrX9nh6rGGcURCFEYXuH5ykKh7Ea3FvpFhHb9AnxXJkgAZ6WASN7Rdn7VMgkFaqP5Z5RWp84cDTmsZkhYrgAVGN7mjeLs8UxqUvRi2ArZbm35Xqk8Y88Uq2MJzmDVHLHzCYRGym8XPxFM4YEVxqzHSKYYDvaMLgKvoskFXKrvceAqEiyih26hjpekCmefiF1VmrPwwShrYYxgHLFCZdigw5JWKV4DmewuR1FH3oNtGoFok859SXeuRbpQfrTjHhGVfDsbXEo3GYP2imAh1APKyLEsG9LcE5WZnJV8eseQnYA8sACLDKZ8Tbpp9KUE7QZNFpnwGnkYx7eybbrCeFDFjTGpsBzaS6fRKrWj2J4Wy3TTyTU1F8iMCrHBF8inZPw9Kg9YEZuJMdXDFNtuaK15u86mF2s2Z5B1vdL5MtZfWThFLnixKds8ABEmGbe8n75Dym5Wv3pkEXQ6XPpaMjUxHfRJB3EfcoFM5nsZHWSTfbFBcHxSRnEiiU67cgJsBUpQn7FvEvqNLiKM4fL3yyykMtQ6RjAS8rhycszphvQa5qFrDHie4vPuTq8",
"assets": [
{
"tokenId": "c2bdf69d3fd88c3a82149200fe756bffb850c1433ea8473f26664877cc7188b3",
"index": 0,
"amount": 1,
"name": "rspv2ErgoAWC",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 30000000,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b63d482d991fc91bed24bbc606e3cbb4e02d1bce26966c1c21e94014b981c00c",
"sigmaType": "Coll[SByte]",
"renderedValue": "b63d482d991fc91bed24bbc606e3cbb4e02d1bce26966c1c21e94014b981c00c"
},
"R5": {
"serializedValue": "05c2e8a941",
"sigmaType": "SLong",
"renderedValue": "68500001"
}
}
},
{
"boxId": "4be87dd6e8623caa7ea01b150ae420b092e8a2015949c1d35322d01bf9f44f6f",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "49701a10a5a769cee7fd8db47356acd5df6df44212c40d35d04308b0ec2ae814",
"outputTransactionId": "536cda599eea2743dbc521f7d7108e456009f3d59746e5aab4490d092f182aa9",
"outputIndex": 0,
"outputGlobalIndex": 44864180,
"outputCreatedAt": 1418612,
"outputSettledAt": 1418615,
"ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20375fa034ae65fe2336c7d1d40bf6ec3b0cdb3af7841282a7a41a1812a7ca855b04040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
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"decimals": 3,
"type": "EIP-004"
}
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"sigmaType": "Coll[SByte]",
"renderedValue": "b63d482d991fc91bed24bbc606e3cbb4e02d1bce26966c1c21e94014b981c00c"
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"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
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}
},
{
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"value": 1414934932,
"index": 3,
"spendingProof": "74457c9af334874b9248d781c8cc3a16b9322b1c706b61eb2e2b862101861de86b7939f47f4f9082895de67dee09cd325f132f325e064fb9",
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"outputIndex": 2,
"outputGlobalIndex": 44864182,
"outputCreatedAt": 1418612,
"outputSettledAt": 1418615,
"ergoTree": "0008cd02fbb89f89e128e3b0259565239bdadcba9d8b3acd55b48c433194629d8e900e27",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fbb89f,e284d5,...)))}",
"address": "9gRvPrUYaUx8TBwCwMXUYm9TytNXzjztYQA5T1XAUW8n86BQoSe",
"assets": [
{
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"index": 0,
"amount": 3,
"name": "WID-1c00c-86BQoSe",
"decimals": 0,
"type": "EIP-004"
}
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},
{
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"value": 1991538,
"index": 4,
"spendingProof": null,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\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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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
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"type": "EIP-004"
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{
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"amount": 705,
"name": "eRSN",
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],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b63d482d991fc91bed24bbc606e3cbb4e02d1bce26966c1c21e94014b981c00c",
"sigmaType": "Coll[SByte]",
"renderedValue": "b63d482d991fc91bed24bbc606e3cbb4e02d1bce26966c1c21e94014b981c00c"
}
}
},
{
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"spendingProof": null,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\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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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
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{
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"index": 1,
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"name": "eRSN",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b63d482d991fc91bed24bbc606e3cbb4e02d1bce26966c1c21e94014b981c00c",
"sigmaType": "Coll[SByte]",
"renderedValue": "b63d482d991fc91bed24bbc606e3cbb4e02d1bce26966c1c21e94014b981c00c"
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"name": "eRSN",
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}
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"sigmaType": "Coll[SByte]",
"renderedValue": "b63d482d991fc91bed24bbc606e3cbb4e02d1bce26966c1c21e94014b981c00c"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\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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{
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"sigmaType": "Coll[SByte]",
"renderedValue": "b63d482d991fc91bed24bbc606e3cbb4e02d1bce26966c1c21e94014b981c00c"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\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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"outputCreatedAt": 1418635,
"outputSettledAt": 1418638,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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(55,95,-96,52,-82,101,-2,35,54,-57,-47,-44,11,-10,-20,59,12,-37,58,-9,-124,18,-126,-89,-92,26,24,18,-89,-54,-123,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 0,
"amount": 3000000,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 1,
"amount": 11318,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b63d482d991fc91bed24bbc606e3cbb4e02d1bce26966c1c21e94014b981c00c",
"sigmaType": "Coll[SByte]",
"renderedValue": "b63d482d991fc91bed24bbc606e3cbb4e02d1bce26966c1c21e94014b981c00c"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "932f4b0a6ce8f43c3e6ecc2433950f02db6e3b06ce53f1ed86208601e1dda73f",
"transactionId": "ecd55054ca0ae68b248c1ed713430d3a13d4653bf1daaff6ecf7ec980ad18776",
"blockId": "8adb5de56814cd78006e8598bafdadaefa5131213be33acb55e12ce683650fa9",
"value": 2000000,
"index": 0,
"globalIndex": 44869417,
"creationHeight": 1418668,
"settlementHeight": 1418670,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\n3: true\n4: 1\n5: 1\n6: 3\n7: 3\n8: 2\n9: 2\n10: 0\n11: 2\n12: 1\n13: 0\n14: Coll(111,-113,115,-14,-72,70,73,13,-104,106,61,44,-97,80,-97,-75,110,47,-39,95,-64,16,12,122,31,106,-111,31,89,-22,118,59)\n15: 1\n16: 3\n17: 0\n18: 0\n19: 5\n20: 1\n21: 3\n22: 0\n23: Coll(-73,37,-74,-105,-76,65,38,109,-102,30,41,-78,41,29,109,19,115,4,26,-37,125,79,-117,14,-74,-78,-10,20,-21,51,85,121)\n24: 4\n25: 0\n26: 0\n27: 1\n28: true\n29: 0\n30: 1\n31: 2\n32: 1\n33: 0\n34: 1\n35: 1\n36: 1\n37: 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 = placeholder[Coll[Byte]](2)\n if (coll4 == coll5) { sigmaProp(placeholder[Boolean](3)) } else {(\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](4))\n val l8 = tuple7._2\n val tuple9 = coll2(placeholder[Int](5))\n val l10 = tuple9._2\n val tuple11 = coll6(placeholder[Int](6))\n val l12 = tuple11._2\n val tuple13 = coll2(placeholder[Int](7))\n val l14 = tuple13._2\n val tuple15 = coll2(placeholder[Int](8))\n val l16 = tuple15._2\n val tuple17 = coll6(placeholder[Int](9))\n val l18 = tuple17._2\n val coll19 = tuple7._1\n val tuple20 = coll6(placeholder[Int](10))\n val coll21 = tuple17._1\n val coll22 = tuple11._1\n val bool23 = allOf(\n Coll[Boolean](\n box1.propositionBytes == SELF.propositionBytes, box1.value >= SELF.value, coll4 == tuple20._1, tuple3._2 == tuple20._2, tuple9._1 == coll19, tuple15._1 == coll21, tuple13._1 == coll22, box1.R4[\n Coll[Byte]\n ].get == SELF.R4[Coll[Byte]].get\n )\n )\n if (l8 > l10) {(\n val box24 = OUTPUTS(placeholder[Int](11))\n val box25 = OUTPUTS(placeholder[Int](12))\n val l26 = l8 - l10\n val tuple27 = box24.tokens(placeholder[Int](13))\n val bool28 = allOf(\n Coll[Boolean](bool23, l26 == l16 - l18, tuple27._2 == l26, tuple27._1 == coll19, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](14))\n )\n if (l14 == l12 - placeholder[Long](15)) {(\n val coll29 = SELF.id\n val tuple30 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n val box31 = CONTEXT.dataInputs(placeholder[Int](18))\n val coll32 = box31.R4[Coll[Long]].get\n val coll33 = box25.tokens\n val l34 = coll32(placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.R5[Long].get == SELF.R5[Long].get + placeholder[Long](20), bool28, box24.R4[\n Coll[Byte]\n ].get == coll29, tuple30._1 == coll29, tuple30._2 >= placeholder[Long](21), box31.tokens(placeholder[Int](22))._1 == coll5, blake2b256(\n box25.propositionBytes\n ) == placeholder[Coll[Byte]](23), box25.R4[Coll[Byte]].get == coll29, box25.value >= coll32(placeholder[Int](24)), box25.R5[\n Long\n ].get == l26, coll33(placeholder[Int](25))._1 == coll22, if (l34 > placeholder[Long](26)) {(\n val tuple35 = coll33(placeholder[Int](27))\n allOf(Coll[Boolean](tuple35._1 == coll21, tuple35._2 >= l34))\n )} else { placeholder[Boolean](28) }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool28, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, l14 == l12, box1.R5[Long].get == SELF.R5[Long].get, box25.tokens(\n placeholder[Int](29)\n )._1 == coll22, INPUTS(placeholder[Int](30)).R5[Long].get + l26 == box25.R5[Long].get\n )\n )\n )\n }\n )} else {(\n val box24 = INPUTS(placeholder[Int](31))\n val box25 = INPUTS(placeholder[Int](32))\n val l26 = l10 - l8\n val l27 = box25.R5[Long].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool23, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, box24.tokens(placeholder[Int](33))._1 == coll19, l26 == l18 - l16, if (l27 > l26) {\n allOf(Coll[Boolean](l12 == l14, box1.R5[Long].get == SELF.R5[Long].get, l27 - l26 == OUTPUTS(placeholder[Int](34)).R5[Long].get))\n } else { allOf(Coll[Boolean](l14 == l12 + placeholder[Long](35), box1.R5[Long].get == SELF.R5[Long].get - placeholder[Long](36))) }, box25.tokens(\n placeholder[Int](37)\n )._1 == coll22\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660",
"index": 0,
"amount": 1,
"name": "rspv2RWTNFT",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
"index": 1,
"amount": 996646592805,
"name": "rspv2ErgoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 2,
"amount": 3353407196,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "c2bdf69d3fd88c3a82149200fe756bffb850c1433ea8473f26664877cc7188b3",
"index": 3,
"amount": 1872,
"name": "rspv2ErgoAWC",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e046572676f",
"sigmaType": "Coll[SByte]",
"renderedValue": "6572676f"
},
"R5": {
"serializedValue": "058002",
"sigmaType": "SLong",
"renderedValue": "128"
}
},
"spentTransactionId": "3db9864a16fae62699ddec892e8d209ef2e815f541b0e0736dc0162c424dd36f",
"mainChain": true
},
{
"boxId": "7569bc89be14a2997976b932840db664ada215135d831abcd4fbb2300b252d28",
"transactionId": "ecd55054ca0ae68b248c1ed713430d3a13d4653bf1daaff6ecf7ec980ad18776",
"blockId": "8adb5de56814cd78006e8598bafdadaefa5131213be33acb55e12ce683650fa9",
"value": 801426897709,
"index": 1,
"globalIndex": 44869418,
"creationHeight": 1418668,
"settlementHeight": 1418670,
"ergoTree": "0008cd02fbb89f89e128e3b0259565239bdadcba9d8b3acd55b48c433194629d8e900e27",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fbb89f,e284d5,...)))}",
"address": "9gRvPrUYaUx8TBwCwMXUYm9TytNXzjztYQA5T1XAUW8n86BQoSe",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 98500001,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 1,
"amount": 22327,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "df91d83a0167111dbb9fabad771e8a957d23ef1dd727ee3163ce5e6bb1faa7d6",
"mainChain": true
},
{
"boxId": "84fd4b9aa2bc4e5ff821dd9a0fb14d29647ea22593321130b89be50f4d7234e2",
"transactionId": "ecd55054ca0ae68b248c1ed713430d3a13d4653bf1daaff6ecf7ec980ad18776",
"blockId": "8adb5de56814cd78006e8598bafdadaefa5131213be33acb55e12ce683650fa9",
"value": 2000000,
"index": 2,
"globalIndex": 44869419,
"creationHeight": 1418668,
"settlementHeight": 1418670,
"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": "69404d6627cb08b04eb983beece24937f97213818d8c8af21d99b180c67088c8",
"mainChain": true
}
],
"size": 1672,
"isUnconfirmed": false
}