Transaction
ID: b9c351e849...4576
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
100.93 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
100.93 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 194,811
Total coins transferred: 100.93 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000284 ERG
Raw Transaction Data
{
"id": "b9c351e8492b4e79db8bea1c7c09aa1cd81fc75d81b742e6a4d36d97782a4576",
"blockId": "71e44ad7dc26bc1525ac7cbcaf325d941a5d571ee14923ae4ff428f275797721",
"inclusionHeight": 1567050,
"timestamp": 1752342739806,
"index": 5,
"globalIndex": 9200063,
"numConfirmations": 194811,
"inputs": [
{
"boxId": "7af111229b556a7099ca708d9642a700d7da27e29475ac94342cd54215a10b25",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "5b7a1c73b265ac822b235c0e6c4e4d40e825b514807bcce2eeb42447c64c5daf",
"outputTransactionId": "5dfa6e5c14f1fa91e940c158a60fb3a3e9420b221fa2397550099c1816c757e7",
"outputIndex": 0,
"outputGlobalIndex": 48842104,
"outputCreatedAt": 1567035,
"outputSettledAt": 1567037,
"ergoTree": 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"ergoTreeConstants": "0: Coll(-15,81,-11,-63,-86,-80,-44,122,-126,8,61,33,3,70,-5,12,-7,25,51,90,49,48,-114,20,72,-84,11,-1,51,-21,34,9)\n1: SigmaProp(ProveDlog(ECPoint(75acc4,25ee17,...)))\n2: 0\n3: 0\n4: 1\n5: 127\n6: 3\n7: 2\n8: 0\n9: 1\n10: Coll(0,8,-51,2,18,-119,25,-122,77,69,118,50,84,63,54,-89,67,122,-126,85,-111,83,86,57,-80,19,-28,1,-39,4,63,83,-32,-125,-69,-113)\n11: 720\n12: 30\n13: 720\n14: 30\n15: 0\n16: 0\n17: 30\n18: 8\n19: 1\n20: 1\n21: 0\n22: 1\n23: 1\n24: true\n25: false\n26: 0\n27: 10\n28: 100\n29: 0\n30: 1\n31: 2\n32: 1\n33: 0\n34: 1\n35: 0\n36: 2\n37: 2\n38: 0\n39: 60\n40: 0\n41: 3\n42: 1\n43: 0\n44: 2\n45: 1\n46: 2\n47: 2\n48: 0\n49: 0\n50: false\n51: 0\n52: 0\n53: false\n54: 0\n55: true\n56: 4\n57: 1\n58: 0\n59: 0\n60: 5\n61: 1\n62: 0\n63: 0\n64: 800\n65: 1000\n66: 1\n67: 120\n68: 1000\n69: 0\n70: 2\n71: 30\n72: 1000\n73: 0\n74: 3\n75: 2\n76: 1\n77: 0\n78: 0\n79: true\n80: 0\n81: true\n82: 6\n83: 0\n84: 1\n85: 0\n86: 1\n87: 7\n88: 0\n89: 0\n90: 2\n91: 1\n92: 0\n93: 1\n94: 8\n95: 1\n96: 120\n97: 1000\n98: 0\n99: 2\n100: 30\n101: 1000\n102: 0\n103: 3\n104: 2\n105: 1\n106: 0\n107: 1\n108: 0\n109: true\n110: 0\n111: true\n112: 800\n113: 1000\n114: 9\n115: 0\n116: 0\n117: 1\n118: 0\n119: 1\n120: false",
"ergoTreeScript": "{\n val i1 = getVar[Int](0.toByte).get\n val func2 = {(box2: Box) => box2.tokens.exists({(tuple4: (Coll[Byte], Long)) => tuple4._1 == placeholder[Coll[Byte]](0) }) }\n val prop3 = placeholder[SigmaProp](1)\n val func4 = {(tuple4: (SigmaProp, Box)) =>\n val coll6 = tuple4._2.propositionBytes\n val coll7 = tuple4._1.propBytes\n if (coll6(placeholder[Int](2)).toInt == placeholder[Int](3)) { coll6 == coll7 } else {(\n val i8 = coll6.size\n coll7.slice(placeholder[Int](4), coll7.size) == coll6.slice(if (i8 > placeholder[Int](5)) { placeholder[Int](6) } else { placeholder[Int](7) }, i8)\n )}\n }\n val l5 = SELF.R8[Long].get\n val coll6 = SELF.propositionBytes\n val coll7 = SELF.tokens\n val tuple8 = coll7(placeholder[Int](8))\n val coll9 = tuple8._1\n val tuple10 = coll7(placeholder[Int](9))\n val coll11 = tuple10._1\n val i12 = SELF.R4[Int].get\n val tuple13 = SELF.R5[(SigmaProp, SigmaProp)].get\n val prop14 = tuple13._1\n val tuple15 = SELF.R6[(Coll[Byte], Coll[Byte])].get\n val prop16 = tuple13._2\n val l17 = SELF.R9[Long].get\n val coll18 = placeholder[Coll[Byte]](10)\n val func19 = {(coll19: Coll[Byte]) =>\n OUTPUTS.forall(\n {(box21: Box) => allOf(Coll[Boolean](box21.tokens.forall({(tuple23: (Coll[Byte], Long)) => tuple23._1 != coll19 }), box21.propositionBytes != coll6)) }\n )\n }\n val tuple20 = SELF.R7[(Boolean, Boolean)].get\n val bool21 = tuple20._1\n val i22 = i12 - HEIGHT\n val bool23 = (i22 < placeholder[Int](11)) && (i22 >= placeholder[Int](12))\n val bool24 = (i22 >= placeholder[Int](13)) && (i22 >= placeholder[Int](14))\n val bool25 = tuple20._2\n val coll26 = tuple15._1\n val bool27 = coll26.size > placeholder[Int](15)\n val coll28 = tuple15._2\n val bool29 = coll28.size > placeholder[Int](16)\n val i30 = i12 + placeholder[Int](17)\n val i31 = i30 + placeholder[Int](18)\n if (i1 == placeholder[Int](19)) {(\n val box32 = INPUTS(placeholder[Int](20))\n val box33 = OUTPUTS(placeholder[Int](21))\n val tuple34 = box33.R5[(SigmaProp, SigmaProp)].get\n val prop35 = tuple34._2\n val l36 = box33.R9[Long].get\n val coll37 = box33.tokens\n val tuple38 = coll37(placeholder[Int](22))\n val box39 = OUTPUTS(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n func2(box32), allOf(\n Coll[Boolean](prop35 != prop3, func4((prop35, box32)), box33.R7[(Boolean, Boolean)].get == (placeholder[Boolean](24), placeholder[Boolean](25)))\n )\n )\n ), allOf(Coll[Boolean](l36 > placeholder[Long](26), l36 == placeholder[Long](27) * l5 / placeholder[Long](28), tuple38._2 == l5 + l36)), allOf(\n Coll[Boolean](\n box33.value == SELF.value, box33.propositionBytes == coll6, coll37(placeholder[Int](29)) == (\n coll9, placeholder[Long](30)\n ), tuple38._1 == coll11, box33.R4[Int].get == i12, tuple34._1 == prop14, box33.R6[(Coll[Byte], Coll[Byte])].get == tuple15, box33.R8[\n Long\n ].get == l5\n )\n ), allOf(Coll[Boolean](box39.propositionBytes == box32.propositionBytes, func2(box39)))\n )\n )\n )\n )} else { if (i1 == placeholder[Int](31)) {(\n val box32 = INPUTS(placeholder[Int](32))\n val box33 = OUTPUTS(placeholder[Int](33))\n val box34 = OUTPUTS(placeholder[Int](34))\n val tuple35 = box34.tokens(placeholder[Int](35))\n val l36 = l17 / placeholder[Long](36)\n val box37 = OUTPUTS(placeholder[Int](37))\n val tuple38 = box37.tokens(placeholder[Int](38))\n sigmaProp(allOf(Coll[Boolean](bool21, i22 >= placeholder[Int](39), allOf(Coll[Boolean](func4((prop16, box32)), func2(box32))), allOf(Coll[Boolean](func4((prop14, box33)), box33.tokens(placeholder[Int](40)) == (coll11, l5))), allOf(Coll[Boolean](box34.propositionBytes == box32.propositionBytes, allOf(Coll[Boolean](tuple35._1 == coll11, tuple35._2 == l36)), func2(box34))), allOf(Coll[Boolean](box37.propositionBytes == coll18, allOf(Coll[Boolean](tuple38._1 == coll11, tuple38._2 == tuple10._2 - l5 - l36)))), func19(coll9))))\n )} else { if (i1 == placeholder[Int](41)) {(\n val box32 = INPUTS(placeholder[Int](42))\n val box33 = OUTPUTS(placeholder[Int](43))\n val l34 = l5 / placeholder[Long](44)\n val box35 = OUTPUTS(placeholder[Int](45))\n val l36 = l5 - l34\n val l37 = l36 / placeholder[Long](46)\n val box38 = OUTPUTS.getOrElse(placeholder[Int](47), SELF)\n sigmaProp(allOf(Coll[Boolean](bool21, func4((prop14, box32)), allOf(Coll[Boolean](box33.propositionBytes == box32.propositionBytes, if (bool24) { box33.tokens(placeholder[Int](48)) == (coll11, l5) } else { if (bool23) { box33.tokens(placeholder[Int](49)) == (coll11, l34) } else { placeholder[Boolean](50) } })), allOf(Coll[Boolean](func4((prop16, box35)), if (bool24) {(\n val tuple39 = box35.tokens(placeholder[Int](51))\n allOf(Coll[Boolean](tuple39._1 == coll11, tuple39._2 == l17))\n )} else { if (bool23) {(\n val tuple39 = box35.tokens(placeholder[Int](52))\n allOf(Coll[Boolean](tuple39._1 == coll11, tuple39._2 == l17 + l36 - l37))\n )} else { placeholder[Boolean](53) } })), if (bool23) {(\n val tuple39 = box38.tokens(placeholder[Int](54))\n allOf(Coll[Boolean](box38.propositionBytes == coll18, allOf(Coll[Boolean](tuple39._1 == coll11, tuple39._2 == l37))))\n )} else { placeholder[Boolean](55) }, func19(coll9))))\n )} else { if (i1 == placeholder[Int](56)) {(\n val box32 = INPUTS(placeholder[Int](57))\n val box33 = OUTPUTS(placeholder[Int](58))\n sigmaProp(allOf(Coll[Boolean](!bool21, func4((prop14, box32)), allOf(Coll[Boolean](box33.propositionBytes == box32.propositionBytes, box33.tokens(placeholder[Int](59)) == (coll11, l5))), func19(coll9))))\n )} else { if (i1 == placeholder[Int](60)) {(\n val box32 = INPUTS(placeholder[Int](61))\n val box33 = OUTPUTS(placeholder[Int](62))\n val tuple34 = box33.tokens(placeholder[Int](63))\n val l35 = placeholder[Long](64) * l5 / placeholder[Long](65)\n val box36 = OUTPUTS.getOrElse(placeholder[Int](66), SELF)\n val l37 = if (bool27) { placeholder[Long](67) * l5 / placeholder[Long](68) } else { placeholder[Long](69) }\n val box38 = OUTPUTS.getOrElse(placeholder[Int](70), SELF)\n val l39 = if (bool29) { placeholder[Long](71) * l5 / placeholder[Long](72) } else { placeholder[Long](73) }\n val box40 = if (bool27 && bool29) { OUTPUTS(placeholder[Int](74)) } else { if (bool27) { OUTPUTS(placeholder[Int](75)) } else { OUTPUTS(placeholder[Int](76)) } }\n val tuple41 = box40.tokens(placeholder[Int](77))\n sigmaProp(allOf(Coll[Boolean](HEIGHT >= i30, HEIGHT >= i31, bool21, !bool25, allOf(Coll[Boolean](func4((prop16, box32)), func2(box32))), allOf(Coll[Boolean](box33.propositionBytes == box32.propositionBytes, allOf(Coll[Boolean](tuple34._1 == coll11, tuple34._2 == l17 + l35)), func2(box33))), if (bool27) {(\n val tuple42 = box36.tokens(placeholder[Int](78))\n allOf(Coll[Boolean](box36.propositionBytes == coll26, allOf(Coll[Boolean](tuple42._1 == coll11, tuple42._2 == l37))))\n )} else { placeholder[Boolean](79) }, if (bool29 && bool27) {(\n val tuple42 = box38.tokens(placeholder[Int](80))\n allOf(Coll[Boolean](box38.propositionBytes == coll28, allOf(Coll[Boolean](tuple42._1 == coll11, tuple42._2 == l39))))\n )} else { placeholder[Boolean](81) }, allOf(Coll[Boolean](box40.propositionBytes == coll18, allOf(Coll[Boolean](tuple41._1 == coll11, tuple41._2 == l5 - l35 + l37 + l39)))), func19(coll9))))\n )} else { if (i1 == placeholder[Int](82)) {(\n val box32 = OUTPUTS(placeholder[Int](83))\n val tuple33 = box32.R7[(Boolean, Boolean)].get\n val coll34 = box32.tokens\n sigmaProp(allOf(Coll[Boolean]((HEIGHT >= i12) && bool21, HEIGHT < i31, func4((prop14, INPUTS(placeholder[Int](84)))), tuple33._2, allOf(Coll[Boolean](box32.value == SELF.value, box32.propositionBytes == coll6, coll34(placeholder[Int](85)) == tuple8, coll34(placeholder[Int](86)) == tuple10, box32.R4[Int].get == i12, box32.R5[(SigmaProp, SigmaProp)].get == tuple13, box32.R6[(Coll[Byte], Coll[Byte])].get == tuple15, tuple33._1 == bool21, box32.R8[Long].get == l5, box32.R9[Long].get == l17)))))\n )} else { if (i1 == placeholder[Int](87)) {(\n val box32 = OUTPUTS(placeholder[Int](88))\n val tuple33 = box32.tokens(placeholder[Int](89))\n val l34 = l17 / placeholder[Long](90)\n val box35 = OUTPUTS(placeholder[Int](91))\n val tuple36 = box35.tokens(placeholder[Int](92))\n sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](93)))), allOf(Coll[Boolean](func4((prop14, box32)), allOf(Coll[Boolean](tuple33._1 == coll11, tuple33._2 == l34 + l5)))), allOf(Coll[Boolean](box35.propositionBytes == coll18, allOf(Coll[Boolean](tuple36._1 == coll11, tuple36._2 == l17 - l34)))), func19(coll9))))\n )} else { if (i1 == placeholder[Int](94)) {(\n val box32 = OUTPUTS.getOrElse(placeholder[Int](95), SELF)\n val l33 = if (bool27) { placeholder[Long](96) * l5 / placeholder[Long](97) } else { placeholder[Long](98) }\n val box34 = OUTPUTS.getOrElse(placeholder[Int](99), SELF)\n val l35 = if (bool29) { placeholder[Long](100) * l5 / placeholder[Long](101) } else { placeholder[Long](102) }\n val box36 = if (bool27 && bool29) { OUTPUTS(placeholder[Int](103)) } else { if (bool27) { OUTPUTS(placeholder[Int](104)) } else { OUTPUTS(placeholder[Int](105)) } }\n val tuple37 = box36.tokens(placeholder[Int](106))\n sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](107)))), if (bool27) {(\n val tuple38 = box32.tokens(placeholder[Int](108))\n allOf(Coll[Boolean](box32.propositionBytes == coll26, allOf(Coll[Boolean](tuple38._1 == coll11, tuple38._2 == l33))))\n )} else { placeholder[Boolean](109) }, if (bool29 && bool27) {(\n val tuple38 = box34.tokens(placeholder[Int](110))\n allOf(Coll[Boolean](box34.propositionBytes == coll28, allOf(Coll[Boolean](tuple38._1 == coll11, tuple38._2 == l35))))\n )} else { placeholder[Boolean](111) }, allOf(Coll[Boolean](box36.propositionBytes == coll18, allOf(Coll[Boolean](tuple37._1 == coll11, tuple37._2 == l5 - placeholder[Long](112) * l5 / placeholder[Long](113) + l33 + l35)))), func19(coll9))))\n )} else { if (i1 == placeholder[Int](114)) {(\n val box32 = OUTPUTS(placeholder[Int](115))\n val tuple33 = box32.tokens(placeholder[Int](116))\n val box34 = OUTPUTS(placeholder[Int](117))\n val tuple35 = box34.tokens(placeholder[Int](118))\n sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](119)))), allOf(Coll[Boolean](func4((prop14, box32)), allOf(Coll[Boolean](tuple33._1 == coll11, tuple33._2 == l5)))), allOf(Coll[Boolean](func4((prop16, box34)), allOf(Coll[Boolean](tuple35._1 == coll11, tuple35._2 == l17)))), func19(coll9))))\n )} else { sigmaProp(placeholder[Boolean](120)) } } } } } } } } }\n}",
"address": "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",
"assets": [
{
"tokenId": "cbbc69f001873b5a97e96597a53952eb5f0d00458a8fc925f4365876c773ac94",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 1,
"amount": 50,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "5ccd033e7c9bb44d28562745d17c80e54a1954d4cd10f0faac6ca8e1366c72074aea79cd033e7c9bb44d28562745d17c80e54a1954d4cd10f0faac6ca8e1366c72074aea79",
"sigmaType": "(SSigmaProp, SSigmaProp)",
"renderedValue": "[033e7c9bb44d28562745d17c80e54a1954d4cd10f0faac6ca8e1366c72074aea79,033e7c9bb44d28562745d17c80e54a1954d4cd10f0faac6ca8e1366c72074aea79]"
},
"R6": {
"serializedValue": "3c0e0e240008cd0358eb245523ef049eefb8b4f645962c3ed17d505cd8549ed3ffb7ca7485b5ec21240008cd02bd32719211271080424d666d895c89c7c23c43f12a86042639c7fe81fda90508",
"sigmaType": "(Coll[SByte], Coll[SByte])",
"renderedValue": "[0008cd0358eb245523ef049eefb8b4f645962c3ed17d505cd8549ed3ffb7ca7485b5ec21,0008cd02bd32719211271080424d666d895c89c7c23c43f12a86042639c7fe81fda90508]"
},
"R8": {
"serializedValue": "0564",
"sigmaType": "SLong",
"renderedValue": "50"
},
"R7": {
"serializedValue": "550000",
"sigmaType": "(SBoolean, SBoolean)",
"renderedValue": "[false,false]"
},
"R9": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R4": {
"serializedValue": "04d8b2bf01",
"sigmaType": "SInt",
"renderedValue": "1567916"
}
}
},
{
"boxId": "baed0e964e406015a65668dcd4fb4c3be4535ca0d7d908398dfc479d1106387f",
"value": 1000000,
"index": 1,
"spendingProof": "191cb07f69ef705bb1240c87ae13894b72a05a7b39be80ccfb451adca367e17fadcaa74fb52451ba0f61b0de8b50feef8e6194089c1f0eb4",
"outputBlockId": "71e44ad7dc26bc1525ac7cbcaf325d941a5d571ee14923ae4ff428f275797721",
"outputTransactionId": "623e42aa83f1fdba97c9ec3039c60fd31333b983650a71884a076a15916f5868",
"outputIndex": 1,
"outputGlobalIndex": 48842286,
"outputCreatedAt": 1567048,
"outputSettledAt": 1567050,
"ergoTree": "0008cd02627b2ae20e2f69ef4fc16569f8474ed850c7b87fc312aa21002e63f6dc0c43bc",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(627b2a,4dc0a9,...)))}",
"address": "9fGS5mw42MPszcjurgijPP3Abqc47Gm8rwUrqM7TQMBY3AFNRWB",
"assets": [
{
"tokenId": "f151f5c1aab0d47a82083d210346fb0cf919335a31308e1448ac0bff33eb2209",
"index": 0,
"amount": 1,
"name": "Psychologist Pass",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "4d51805669fed883a2d3320d85badb8d517ab77b3df9c53ae0ee20448d6d25a4",
"value": 100928511417,
"index": 2,
"spendingProof": "9d0bf3f382496b2da4848199e4fa491da95ce4bc9af3902395fcc34ff4724adf7aa9ea4057f937a96bec04e04f1553fdff22155cc5e6c41d",
"outputBlockId": "71e44ad7dc26bc1525ac7cbcaf325d941a5d571ee14923ae4ff428f275797721",
"outputTransactionId": "623e42aa83f1fdba97c9ec3039c60fd31333b983650a71884a076a15916f5868",
"outputIndex": 3,
"outputGlobalIndex": 48842288,
"outputCreatedAt": 1567048,
"outputSettledAt": 1567050,
"ergoTree": "0008cd02627b2ae20e2f69ef4fc16569f8474ed850c7b87fc312aa21002e63f6dc0c43bc",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(627b2a,4dc0a9,...)))}",
"address": "9fGS5mw42MPszcjurgijPP3Abqc47Gm8rwUrqM7TQMBY3AFNRWB",
"assets": [
{
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"index": 0,
"amount": 937,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "f151f5c1aab0d47a82083d210346fb0cf919335a31308e1448ac0bff33eb2209",
"index": 1,
"amount": 9999989,
"name": "Psychologist Pass",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 1,
"name": "Psychologist Pass Test",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 3,
"amount": 1,
"name": "Psy Test",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 4,
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"name": "test",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 5,
"amount": 9990997,
"name": "PsychologistPass",
"decimals": 0,
"type": "EIP-004"
},
{
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"name": "Sigmanaut",
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"type": "EIP-004"
},
{
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"name": "Shaggy",
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"type": "EIP-004"
},
{
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"name": "TRUMP 2024",
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"type": "EIP-004"
},
{
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"index": 9,
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"name": "🚬",
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"name": "COS",
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"name": "RSN",
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"type": "EIP-004"
},
{
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"index": 14,
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"name": "maff",
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"type": "EIP-004"
},
{
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"index": 15,
"amount": 1,
"name": "INTRODUCING $GIF",
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"type": "EIP-004"
},
{
"tokenId": "e005c3748329d38727987b639c876808b9cc3332c1d9fe601782783f6736380e",
"index": 16,
"amount": 1,
"name": " INTRODUCING $GIF",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 17,
"amount": 26041666000000,
"name": "GIF",
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"type": "EIP-004"
},
{
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"index": 18,
"amount": 1,
"name": "Addy",
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"amount": 1,
"name": "test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "52e7d381f3fdfdde2952111468e03178124ffa631fd1e0eafe94270f0b9b135e",
"transactionId": "b9c351e8492b4e79db8bea1c7c09aa1cd81fc75d81b742e6a4d36d97782a4576",
"blockId": "71e44ad7dc26bc1525ac7cbcaf325d941a5d571ee14923ae4ff428f275797721",
"value": 1000000,
"index": 0,
"globalIndex": 48842289,
"creationHeight": 1567048,
"settlementHeight": 1567050,
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"ergoTreeConstants": "0: Coll(-15,81,-11,-63,-86,-80,-44,122,-126,8,61,33,3,70,-5,12,-7,25,51,90,49,48,-114,20,72,-84,11,-1,51,-21,34,9)\n1: SigmaProp(ProveDlog(ECPoint(75acc4,25ee17,...)))\n2: 0\n3: 0\n4: 1\n5: 127\n6: 3\n7: 2\n8: 0\n9: 1\n10: Coll(0,8,-51,2,18,-119,25,-122,77,69,118,50,84,63,54,-89,67,122,-126,85,-111,83,86,57,-80,19,-28,1,-39,4,63,83,-32,-125,-69,-113)\n11: 720\n12: 30\n13: 720\n14: 30\n15: 0\n16: 0\n17: 30\n18: 8\n19: 1\n20: 1\n21: 0\n22: 1\n23: 1\n24: true\n25: false\n26: 0\n27: 10\n28: 100\n29: 0\n30: 1\n31: 2\n32: 1\n33: 0\n34: 1\n35: 0\n36: 2\n37: 2\n38: 0\n39: 60\n40: 0\n41: 3\n42: 1\n43: 0\n44: 2\n45: 1\n46: 2\n47: 2\n48: 0\n49: 0\n50: false\n51: 0\n52: 0\n53: false\n54: 0\n55: true\n56: 4\n57: 1\n58: 0\n59: 0\n60: 5\n61: 1\n62: 0\n63: 0\n64: 800\n65: 1000\n66: 1\n67: 120\n68: 1000\n69: 0\n70: 2\n71: 30\n72: 1000\n73: 0\n74: 3\n75: 2\n76: 1\n77: 0\n78: 0\n79: true\n80: 0\n81: true\n82: 6\n83: 0\n84: 1\n85: 0\n86: 1\n87: 7\n88: 0\n89: 0\n90: 2\n91: 1\n92: 0\n93: 1\n94: 8\n95: 1\n96: 120\n97: 1000\n98: 0\n99: 2\n100: 30\n101: 1000\n102: 0\n103: 3\n104: 2\n105: 1\n106: 0\n107: 1\n108: 0\n109: true\n110: 0\n111: true\n112: 800\n113: 1000\n114: 9\n115: 0\n116: 0\n117: 1\n118: 0\n119: 1\n120: false",
"ergoTreeScript": "{\n val i1 = getVar[Int](0.toByte).get\n val func2 = {(box2: Box) => box2.tokens.exists({(tuple4: (Coll[Byte], Long)) => tuple4._1 == placeholder[Coll[Byte]](0) }) }\n val prop3 = placeholder[SigmaProp](1)\n val func4 = {(tuple4: (SigmaProp, Box)) =>\n val coll6 = tuple4._2.propositionBytes\n val coll7 = tuple4._1.propBytes\n if (coll6(placeholder[Int](2)).toInt == placeholder[Int](3)) { coll6 == coll7 } else {(\n val i8 = coll6.size\n coll7.slice(placeholder[Int](4), coll7.size) == coll6.slice(if (i8 > placeholder[Int](5)) { placeholder[Int](6) } else { placeholder[Int](7) }, i8)\n )}\n }\n val l5 = SELF.R8[Long].get\n val coll6 = SELF.propositionBytes\n val coll7 = SELF.tokens\n val tuple8 = coll7(placeholder[Int](8))\n val coll9 = tuple8._1\n val tuple10 = coll7(placeholder[Int](9))\n val coll11 = tuple10._1\n val i12 = SELF.R4[Int].get\n val tuple13 = SELF.R5[(SigmaProp, SigmaProp)].get\n val prop14 = tuple13._1\n val tuple15 = SELF.R6[(Coll[Byte], Coll[Byte])].get\n val prop16 = tuple13._2\n val l17 = SELF.R9[Long].get\n val coll18 = placeholder[Coll[Byte]](10)\n val func19 = {(coll19: Coll[Byte]) =>\n OUTPUTS.forall(\n {(box21: Box) => allOf(Coll[Boolean](box21.tokens.forall({(tuple23: (Coll[Byte], Long)) => tuple23._1 != coll19 }), box21.propositionBytes != coll6)) }\n )\n }\n val tuple20 = SELF.R7[(Boolean, Boolean)].get\n val bool21 = tuple20._1\n val i22 = i12 - HEIGHT\n val bool23 = (i22 < placeholder[Int](11)) && (i22 >= placeholder[Int](12))\n val bool24 = (i22 >= placeholder[Int](13)) && (i22 >= placeholder[Int](14))\n val bool25 = tuple20._2\n val coll26 = tuple15._1\n val bool27 = coll26.size > placeholder[Int](15)\n val coll28 = tuple15._2\n val bool29 = coll28.size > placeholder[Int](16)\n val i30 = i12 + placeholder[Int](17)\n val i31 = i30 + placeholder[Int](18)\n if (i1 == placeholder[Int](19)) {(\n val box32 = INPUTS(placeholder[Int](20))\n val box33 = OUTPUTS(placeholder[Int](21))\n val tuple34 = box33.R5[(SigmaProp, SigmaProp)].get\n val prop35 = tuple34._2\n val l36 = box33.R9[Long].get\n val coll37 = box33.tokens\n val tuple38 = coll37(placeholder[Int](22))\n val box39 = OUTPUTS(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n func2(box32), allOf(\n Coll[Boolean](prop35 != prop3, func4((prop35, box32)), box33.R7[(Boolean, Boolean)].get == (placeholder[Boolean](24), placeholder[Boolean](25)))\n )\n )\n ), allOf(Coll[Boolean](l36 > placeholder[Long](26), l36 == placeholder[Long](27) * l5 / placeholder[Long](28), tuple38._2 == l5 + l36)), allOf(\n Coll[Boolean](\n box33.value == SELF.value, box33.propositionBytes == coll6, coll37(placeholder[Int](29)) == (\n coll9, placeholder[Long](30)\n ), tuple38._1 == coll11, box33.R4[Int].get == i12, tuple34._1 == prop14, box33.R6[(Coll[Byte], Coll[Byte])].get == tuple15, box33.R8[\n Long\n ].get == l5\n )\n ), allOf(Coll[Boolean](box39.propositionBytes == box32.propositionBytes, func2(box39)))\n )\n )\n )\n )} else { if (i1 == placeholder[Int](31)) {(\n val box32 = INPUTS(placeholder[Int](32))\n val box33 = OUTPUTS(placeholder[Int](33))\n val box34 = OUTPUTS(placeholder[Int](34))\n val tuple35 = box34.tokens(placeholder[Int](35))\n val l36 = l17 / placeholder[Long](36)\n val box37 = OUTPUTS(placeholder[Int](37))\n val tuple38 = box37.tokens(placeholder[Int](38))\n sigmaProp(allOf(Coll[Boolean](bool21, i22 >= placeholder[Int](39), allOf(Coll[Boolean](func4((prop16, box32)), func2(box32))), allOf(Coll[Boolean](func4((prop14, box33)), box33.tokens(placeholder[Int](40)) == (coll11, l5))), allOf(Coll[Boolean](box34.propositionBytes == box32.propositionBytes, allOf(Coll[Boolean](tuple35._1 == coll11, tuple35._2 == l36)), func2(box34))), allOf(Coll[Boolean](box37.propositionBytes == coll18, allOf(Coll[Boolean](tuple38._1 == coll11, tuple38._2 == tuple10._2 - l5 - l36)))), func19(coll9))))\n )} else { if (i1 == placeholder[Int](41)) {(\n val box32 = INPUTS(placeholder[Int](42))\n val box33 = OUTPUTS(placeholder[Int](43))\n val l34 = l5 / placeholder[Long](44)\n val box35 = OUTPUTS(placeholder[Int](45))\n val l36 = l5 - l34\n val l37 = l36 / placeholder[Long](46)\n val box38 = OUTPUTS.getOrElse(placeholder[Int](47), SELF)\n sigmaProp(allOf(Coll[Boolean](bool21, func4((prop14, box32)), allOf(Coll[Boolean](box33.propositionBytes == box32.propositionBytes, if (bool24) { box33.tokens(placeholder[Int](48)) == (coll11, l5) } else { if (bool23) { box33.tokens(placeholder[Int](49)) == (coll11, l34) } else { placeholder[Boolean](50) } })), allOf(Coll[Boolean](func4((prop16, box35)), if (bool24) {(\n val tuple39 = box35.tokens(placeholder[Int](51))\n allOf(Coll[Boolean](tuple39._1 == coll11, tuple39._2 == l17))\n )} else { if (bool23) {(\n val tuple39 = box35.tokens(placeholder[Int](52))\n allOf(Coll[Boolean](tuple39._1 == coll11, tuple39._2 == l17 + l36 - l37))\n )} else { placeholder[Boolean](53) } })), if (bool23) {(\n val tuple39 = box38.tokens(placeholder[Int](54))\n allOf(Coll[Boolean](box38.propositionBytes == coll18, allOf(Coll[Boolean](tuple39._1 == coll11, tuple39._2 == l37))))\n )} else { placeholder[Boolean](55) }, func19(coll9))))\n )} else { if (i1 == placeholder[Int](56)) {(\n val box32 = INPUTS(placeholder[Int](57))\n val box33 = OUTPUTS(placeholder[Int](58))\n sigmaProp(allOf(Coll[Boolean](!bool21, func4((prop14, box32)), allOf(Coll[Boolean](box33.propositionBytes == box32.propositionBytes, box33.tokens(placeholder[Int](59)) == (coll11, l5))), func19(coll9))))\n )} else { if (i1 == placeholder[Int](60)) {(\n val box32 = INPUTS(placeholder[Int](61))\n val box33 = OUTPUTS(placeholder[Int](62))\n val tuple34 = box33.tokens(placeholder[Int](63))\n val l35 = placeholder[Long](64) * l5 / placeholder[Long](65)\n val box36 = OUTPUTS.getOrElse(placeholder[Int](66), SELF)\n val l37 = if (bool27) { placeholder[Long](67) * l5 / placeholder[Long](68) } else { placeholder[Long](69) }\n val box38 = OUTPUTS.getOrElse(placeholder[Int](70), SELF)\n val l39 = if (bool29) { placeholder[Long](71) * l5 / placeholder[Long](72) } else { placeholder[Long](73) }\n val box40 = if (bool27 && bool29) { OUTPUTS(placeholder[Int](74)) } else { if (bool27) { OUTPUTS(placeholder[Int](75)) } else { OUTPUTS(placeholder[Int](76)) } }\n val tuple41 = box40.tokens(placeholder[Int](77))\n sigmaProp(allOf(Coll[Boolean](HEIGHT >= i30, HEIGHT >= i31, bool21, !bool25, allOf(Coll[Boolean](func4((prop16, box32)), func2(box32))), allOf(Coll[Boolean](box33.propositionBytes == box32.propositionBytes, allOf(Coll[Boolean](tuple34._1 == coll11, tuple34._2 == l17 + l35)), func2(box33))), if (bool27) {(\n val tuple42 = box36.tokens(placeholder[Int](78))\n allOf(Coll[Boolean](box36.propositionBytes == coll26, allOf(Coll[Boolean](tuple42._1 == coll11, tuple42._2 == l37))))\n )} else { placeholder[Boolean](79) }, if (bool29 && bool27) {(\n val tuple42 = box38.tokens(placeholder[Int](80))\n allOf(Coll[Boolean](box38.propositionBytes == coll28, allOf(Coll[Boolean](tuple42._1 == coll11, tuple42._2 == l39))))\n )} else { placeholder[Boolean](81) }, allOf(Coll[Boolean](box40.propositionBytes == coll18, allOf(Coll[Boolean](tuple41._1 == coll11, tuple41._2 == l5 - l35 + l37 + l39)))), func19(coll9))))\n )} else { if (i1 == placeholder[Int](82)) {(\n val box32 = OUTPUTS(placeholder[Int](83))\n val tuple33 = box32.R7[(Boolean, Boolean)].get\n val coll34 = box32.tokens\n sigmaProp(allOf(Coll[Boolean]((HEIGHT >= i12) && bool21, HEIGHT < i31, func4((prop14, INPUTS(placeholder[Int](84)))), tuple33._2, allOf(Coll[Boolean](box32.value == SELF.value, box32.propositionBytes == coll6, coll34(placeholder[Int](85)) == tuple8, coll34(placeholder[Int](86)) == tuple10, box32.R4[Int].get == i12, box32.R5[(SigmaProp, SigmaProp)].get == tuple13, box32.R6[(Coll[Byte], Coll[Byte])].get == tuple15, tuple33._1 == bool21, box32.R8[Long].get == l5, box32.R9[Long].get == l17)))))\n )} else { if (i1 == placeholder[Int](87)) {(\n val box32 = OUTPUTS(placeholder[Int](88))\n val tuple33 = box32.tokens(placeholder[Int](89))\n val l34 = l17 / placeholder[Long](90)\n val box35 = OUTPUTS(placeholder[Int](91))\n val tuple36 = box35.tokens(placeholder[Int](92))\n sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](93)))), allOf(Coll[Boolean](func4((prop14, box32)), allOf(Coll[Boolean](tuple33._1 == coll11, tuple33._2 == l34 + l5)))), allOf(Coll[Boolean](box35.propositionBytes == coll18, allOf(Coll[Boolean](tuple36._1 == coll11, tuple36._2 == l17 - l34)))), func19(coll9))))\n )} else { if (i1 == placeholder[Int](94)) {(\n val box32 = OUTPUTS.getOrElse(placeholder[Int](95), SELF)\n val l33 = if (bool27) { placeholder[Long](96) * l5 / placeholder[Long](97) } else { placeholder[Long](98) }\n val box34 = OUTPUTS.getOrElse(placeholder[Int](99), SELF)\n val l35 = if (bool29) { placeholder[Long](100) * l5 / placeholder[Long](101) } else { placeholder[Long](102) }\n val box36 = if (bool27 && bool29) { OUTPUTS(placeholder[Int](103)) } else { if (bool27) { OUTPUTS(placeholder[Int](104)) } else { OUTPUTS(placeholder[Int](105)) } }\n val tuple37 = box36.tokens(placeholder[Int](106))\n sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](107)))), if (bool27) {(\n val tuple38 = box32.tokens(placeholder[Int](108))\n allOf(Coll[Boolean](box32.propositionBytes == coll26, allOf(Coll[Boolean](tuple38._1 == coll11, tuple38._2 == l33))))\n )} else { placeholder[Boolean](109) }, if (bool29 && bool27) {(\n val tuple38 = box34.tokens(placeholder[Int](110))\n allOf(Coll[Boolean](box34.propositionBytes == coll28, allOf(Coll[Boolean](tuple38._1 == coll11, tuple38._2 == l35))))\n )} else { placeholder[Boolean](111) }, allOf(Coll[Boolean](box36.propositionBytes == coll18, allOf(Coll[Boolean](tuple37._1 == coll11, tuple37._2 == l5 - placeholder[Long](112) * l5 / placeholder[Long](113) + l33 + l35)))), func19(coll9))))\n )} else { if (i1 == placeholder[Int](114)) {(\n val box32 = OUTPUTS(placeholder[Int](115))\n val tuple33 = box32.tokens(placeholder[Int](116))\n val box34 = OUTPUTS(placeholder[Int](117))\n val tuple35 = box34.tokens(placeholder[Int](118))\n sigmaProp(allOf(Coll[Boolean](bool25, func4((prop3, INPUTS(placeholder[Int](119)))), allOf(Coll[Boolean](func4((prop14, box32)), allOf(Coll[Boolean](tuple33._1 == coll11, tuple33._2 == l5)))), allOf(Coll[Boolean](func4((prop16, box34)), allOf(Coll[Boolean](tuple35._1 == coll11, tuple35._2 == l17)))), func19(coll9))))\n )} else { sigmaProp(placeholder[Boolean](120)) } } } } } } } } }\n}",
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{
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},
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"sigmaType": "(SBoolean, SBoolean)",
"renderedValue": "[true,false]"
},
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"sigmaType": "SLong",
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},
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}
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"ergoTreeConstants": "",
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