Transaction
ID: 30632b929c...d5dc
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00141408 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00141408 ERG
Tokens:
11
999,990.02
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
10
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.9969 ERG
Transaction Details
Confirmations: 84,557
Total coins transferred: 1 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000383 ERG
Raw Transaction Data
{
"id": "30632b929cfb6d8145b8a7695c5aad6ab4b65448ff4df51500cd8736164bd5dc",
"blockId": "60186292b6ab589d9df79382438bd2c32f5a7bde40b87fab80d843276c975650",
"inclusionHeight": 1693462,
"timestamp": 1767648489100,
"index": 8,
"globalIndex": 10096284,
"numConfirmations": 84557,
"inputs": [
{
"boxId": "cfb193fe8f8515fd57171a9c33f6e556c71de304738a42f613bec6f973745a34",
"value": 1414080,
"index": 0,
"spendingProof": null,
"outputBlockId": "7a49524386979129fe70894804c4d6f19aa6f30fac2dd5c66e958df152da9846",
"outputTransactionId": "8ae0d59a8cf6947936ff4cb6da02978207d73149415fefacc895e43a28b6f467",
"outputIndex": 0,
"outputGlobalIndex": 52775620,
"outputCreatedAt": 1693460,
"outputSettledAt": 1693461,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 4\n4: 4\n5: 0\n6: 0\n7: 0\n8: 1\n9: 2\n10: 1\n11: 2\n12: 3\n13: 1\n14: 0\n15: 1\n16: 2\n17: 0\n18: 2\n19: 3\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 0\n28: 0\n29: 0\n30: 0\n31: 1\n32: 2\n33: 0\n34: 0\n35: 0\n36: 0\n37: 0\n38: 0\n39: 0\n40: 0\n41: 0\n42: 1\n43: 0\n44: 0\n45: 0\n46: 0\n47: 0\n48: 2\n49: CBigInt(100)\n50: 0\n51: true\n52: 0\n53: 0\n54: 0\n55: 0\n56: 0\n57: 0\n58: 0\n59: 0\n60: 3\n61: 0\n62: 3\n63: Coll(0,8,-51)\n64: false\n65: 3\n66: false\n67: 0\n68: 0\n69: 0\n70: 0\n71: false\n72: 0\n73: 0\n74: 1\n75: 0\n76: false\n77: 0\n78: 0\n79: 0\n80: 0\n81: 0\n82: 0\n83: 0\n84: 0\n85: 0\n86: 0\n87: false\n88: 0\n89: 0\n90: false\n91: 0\n92: 0\n93: 2\n94: 0\n95: false",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val bool2 = (OUTPUTS.size > placeholder[Int](0)) && (OUTPUTS(placeholder[Int](1)).propositionBytes == coll1)\n val coll3 = SELF.tokens\n val tuple4 = coll3(placeholder[Int](2))\n val tuple5 = SELF.R4[(Boolean, Long)].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R7[Long].get\n val coll8 = SELF.R8[Coll[Coll[Byte]]].get\n val coll9 = if (coll8.size > placeholder[Int](3)) { coll8(placeholder[Int](4)) } else { Coll[Byte]() }\n val bool10 = coll9.size == placeholder[Int](5)\n val bool11 = bool2 && \n val box11 = OUTPUTS(placeholder[Int](6))\n val coll12 = box11.tokens\n (\n (\n (\n (\n (((tuple4._1 == coll12(placeholder[Int](7))._1) && (tuple5 == box11.R4[(Boolean, Long)].get)) && (l6 == box11.R5[Long].get)) && (\n l7 == box11.R7[Long].get\n )\n ) && (coll8 == box11.R8[Coll[Coll[Byte]]].get)\n ) && (SELF.R9[Coll[Byte]].get == box11.R9[Coll[Byte]].get)\n ) && (coll1 == box11.propositionBytes)\n ) && if (bool10) {(\n val i13 = coll12.size\n (i13 == placeholder[Int](8)) || (i13 == placeholder[Int](9))\n )} else {(\n val i13 = coll12.size\n ((i13 == placeholder[Int](10)) || (i13 == placeholder[Int](11))) || (i13 == placeholder[Int](12))\n )}\n \n val bool12 = !bool2\n val coll13 = SELF.R6[Coll[Long]].get\n val l14 = coll13(placeholder[Int](13))\n val bool15 = bool12 || (l14 == OUTPUTS(placeholder[Int](14)).R6[Coll[Long]].get(placeholder[Int](15)))\n val l16 = coll13(placeholder[Int](16))\n val bool17 = bool12 || (l16 == OUTPUTS(placeholder[Int](17)).R6[Coll[Long]].get(placeholder[Int](18)))\n val coll18 = coll8(placeholder[Int](19))\n val bool19 = bool12 || \n val coll19 = coll3.filter({(tuple19: (Coll[Byte], Long)) => tuple19._1 == coll18 })\n val coll20 = OUTPUTS(placeholder[Int](20)).tokens.filter({(tuple20: (Coll[Byte], Long)) => tuple20._1 == coll18 })\n if (coll19.size > placeholder[Int](21)) { coll19(placeholder[Int](22))._2 } else { placeholder[Long](23) } == if (coll20.size > placeholder[Int](24)) {\n coll20(placeholder[Int](25))._2\n } else { placeholder[Long](26) }\n \n val l20 = tuple4._2\n val func21 = {(box21: Box) =>\n val coll23 = box21.tokens.filter({(tuple23: (Coll[Byte], Long)) => tuple23._1 == coll18 })\n val coll24 = box21.R6[Coll[Long]].get\n val l25 = if (coll23.size > placeholder[Int](27)) { coll23(placeholder[Int](28))._2 } else { placeholder[Long](29) } - coll24(\n placeholder[Int](30)\n ) + coll24(placeholder[Int](31)) + coll24(placeholder[Int](32))\n if (l25 < placeholder[Long](33)) { placeholder[Long](34) } else { l25 }\n }\n val func22 = {(box22: Box) => if (bool10) { box22.value } else {(\n val coll24 = box22.tokens.filter({(tuple24: (Coll[Byte], Long)) => tuple24._1 == coll9 })\n if (coll24.size > placeholder[Int](35)) { coll24(placeholder[Int](36))._2 } else { placeholder[Long](37) }\n )} }\n val l23 = coll13(placeholder[Int](38))\n val bool24 = bool12 || (l23 == OUTPUTS(placeholder[Int](39)).R6[Coll[Long]].get(placeholder[Int](40)))\n val l25 = l23 - l14\n val coll26 = coll8(placeholder[Int](41))\n val coll27 = OUTPUTS.filter({(box27: Box) => box27.propositionBytes == coll26 })\n val coll28 = OUTPUTS.filter({(box28: Box) => blake2b256(box28.propositionBytes) == coll8(placeholder[Int](42)) })\n val l29 = SELF.value\n val l30 = if (bool10) { if (bool2) { l29 - OUTPUTS(placeholder[Int](43)).value } else { l29 } } else {\n func22(SELF) - if (bool2) { func22(OUTPUTS(placeholder[Int](44))) } else { placeholder[Long](45) }\n }\n val bool31 = bool12 || (l20 == OUTPUTS(placeholder[Int](46)).tokens(placeholder[Int](47))._2)\n val bi32 = l30.toBigInt\n val bi33 = bi32 * byteArrayToBigInt(coll8(placeholder[Int](48))) / placeholder[BigInt](49)\n val bi34 = bi32 - bi33\n val bool35 = l25 >= l6\n val bool36 = bool12 || \n val box36 = OUTPUTS(placeholder[Int](50))\n (l29 == box36.value) && if (bool10) { placeholder[Boolean](51) } else { func22(SELF) == func22(box36) }\n \n val coll37 = coll3.filter({(tuple37: (Coll[Byte], Long)) => tuple37._1 == coll18 })\n val l38 = if (bool2) {(\n val coll38 = OUTPUTS(placeholder[Int](52)).tokens.filter({(tuple38: (Coll[Byte], Long)) => tuple38._1 == coll18 })\n if (coll38.size > placeholder[Int](53)) { coll38(placeholder[Int](54))._2 } else { placeholder[Long](55) }\n )} else { placeholder[Long](56) } - if (coll37.size > placeholder[Int](57)) { coll37(placeholder[Int](58))._2 } else { placeholder[Long](59) }\n val l39 = !l38\n val i40 = coll26.size\n val prop41 = sigmaProp(INPUTS.exists({(box41: Box) => box41.propositionBytes == coll26 })) || if (if (i40 >= placeholder[Int](60)) {\n coll26.slice(placeholder[Int](61), placeholder[Int](62)) == placeholder[Coll[Byte]](63)\n } else { placeholder[Boolean](64) }) { proveDlog(decodePoint(coll26.slice(placeholder[Int](65), i40))) } else { sigmaProp(placeholder[Boolean](66)) }\n if (bool11) {(\n val box42 = OUTPUTS(placeholder[Int](67))\n val l43 = l20 - box42.tokens(placeholder[Int](68))._2\n val l44 = box42.R6[Coll[Long]].get(placeholder[Int](69)) - l23\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool11, bool15, bool17, bool19)), l43 <= func21(SELF), func22(box42) - func22(SELF) == l43 * l7, allOf(\n Coll[Boolean](l43 == l44, l44 > placeholder[Long](70))\n )\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](71)) } || if (bool11) {(\n val box42 = OUTPUTS(placeholder[Int](72))\n val l43 = box42.tokens(placeholder[Int](73))._2 - l20\n val l44 = box42.R6[Coll[Long]].get(placeholder[Int](74)) - l14\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool11, bool24, bool17, bool19)), (if (tuple5._1) { CONTEXT.preHeader.timestamp } else { HEIGHT.toLong } > tuple5._2) && (\n l25 < l6\n ), allOf(Coll[Boolean](l43 == l44, l44 > placeholder[Long](75))), func22(SELF) - func22(box42) == l43 * l7\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](76)) } || if ((coll27.size > placeholder[Int](77)) && (coll28.size > placeholder[Int](78))) {(\n val box42 = coll28(placeholder[Int](79))\n val box43 = coll27(placeholder[Int](80))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n bool11 || (\n if (bool10) { l30 == l29 } else { l30 == func22(SELF) } && (!coll3.exists({(tuple44: (Coll[Byte], Long)) => tuple44._1 == coll18 }))\n ), bool24, bool15, bool17, bool31, bool19\n )\n ), bool35, if (bool10) { box42.value.toBigInt == bi33 } else {(\n val coll44 = box42.tokens.filter({(tuple44: (Coll[Byte], Long)) => tuple44._1 == coll9 })\n if (coll44.size > placeholder[Int](81)) { coll44(placeholder[Int](82))._2 } else { placeholder[Long](83) }.toBigInt == bi33\n )}, if (bool10) { box43.value.toBigInt == bi34 } else {(\n val coll44 = box43.tokens.filter({(tuple44: (Coll[Byte], Long)) => tuple44._1 == coll9 })\n if (coll44.size > placeholder[Int](84)) { coll44(placeholder[Int](85))._2 } else { placeholder[Long](86) }.toBigInt == bi34\n )}\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](87)) } || sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](bool11 || (!OUTPUTS.exists({(box42: Box) => box42.propositionBytes == coll1 })), bool24, bool15, bool17, bool36, bool31)\n ), l38 < placeholder[Long](88), l39 <= func21(SELF)\n )\n )\n ) && prop41 || if (bool2) {\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](bool11, bool24, bool15, bool17, bool36, bool31)), l38 > placeholder[Long](89)))) && prop41\n } else { sigmaProp(placeholder[Boolean](90)) } || if (bool2) {(\n val box42 = OUTPUTS(placeholder[Int](91))\n val l43 = box42.tokens(placeholder[Int](92))._2 - l20\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool11, bool24, bool15, bool36)), bool35, l43 == box42.R6[Coll[Long]].get(placeholder[Int](93)) - l16, allOf(\n Coll[Boolean](l43 == l39, l43 > placeholder[Long](94))\n )\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](95)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "fd9a899f4c693ce9d9ea1601c0f79835abcd3c22877db3ea4895610c1c00ee9a",
"index": 0,
"amount": 99999002,
"name": "CAT GOLD - 24 NOV APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 1100,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 2,
"amount": 1000,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "05d00f",
"sigmaType": "SLong",
"renderedValue": "1000"
},
"R6": {
"serializedValue": "1103d00f0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,0,0]"
},
"R8": {
"serializedValue": "1a05240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b720a0aa6d3cdd7660b87c44e025f0b7eab6e46ee3f7a85a678df7256c706ce923db010520aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c712074b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7,a0aa6d3cdd7660b87c44e025f0b7eab6e46ee3f7a85a678df7256c706ce923db,05,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71,74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a]"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R9": {
"serializedValue": "0e437b227469746c65223a2243415420474f4c44202d203234204e4f56222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a2243415420474f4c44202d203234204e4f56222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22227d"
},
"R4": {
"serializedValue": "3d050194b3e9c4f066",
"sigmaType": "(SBoolean, SLong)",
"renderedValue": "[true,1767451208906]"
}
}
},
{
"boxId": "70e2e53c45d1bc926183321476b2a25be3a57fcc0ab9a5960b980cd39ed0eada",
"value": 1000000000,
"index": 1,
"spendingProof": "cf8b71f14e1bd4427f0585886295dda6db0529452ce49c9d9ea24eb31c6097c115eb84cf9606da957e83091c1d378d5aa55e38f50756ce97",
"outputBlockId": "fd859f6d630bae8414c2c5144237130f44cf580e119f1f04d72802d5c8170eb9",
"outputTransactionId": "862a48eb15fe7a9fef693c25539f0e5ea04229a5e576324c418e52edb0e2d6a5",
"outputIndex": 0,
"outputGlobalIndex": 52774856,
"outputCreatedAt": 1693457,
"outputSettledAt": 1693459,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "0b5109de5da09452c152389753c100a50e358e8b90e1ad44f3a9d4e9da183a62",
"transactionId": "30632b929cfb6d8145b8a7695c5aad6ab4b65448ff4df51500cd8736164bd5dc",
"blockId": "60186292b6ab589d9df79382438bd2c32f5a7bde40b87fab80d843276c975650",
"value": 1414080,
"index": 0,
"globalIndex": 52775668,
"creationHeight": 1693461,
"settlementHeight": 1693462,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 4\n4: 4\n5: 0\n6: 0\n7: 0\n8: 1\n9: 2\n10: 1\n11: 2\n12: 3\n13: 1\n14: 0\n15: 1\n16: 2\n17: 0\n18: 2\n19: 3\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 0\n28: 0\n29: 0\n30: 0\n31: 1\n32: 2\n33: 0\n34: 0\n35: 0\n36: 0\n37: 0\n38: 0\n39: 0\n40: 0\n41: 0\n42: 1\n43: 0\n44: 0\n45: 0\n46: 0\n47: 0\n48: 2\n49: CBigInt(100)\n50: 0\n51: true\n52: 0\n53: 0\n54: 0\n55: 0\n56: 0\n57: 0\n58: 0\n59: 0\n60: 3\n61: 0\n62: 3\n63: Coll(0,8,-51)\n64: false\n65: 3\n66: false\n67: 0\n68: 0\n69: 0\n70: 0\n71: false\n72: 0\n73: 0\n74: 1\n75: 0\n76: false\n77: 0\n78: 0\n79: 0\n80: 0\n81: 0\n82: 0\n83: 0\n84: 0\n85: 0\n86: 0\n87: false\n88: 0\n89: 0\n90: false\n91: 0\n92: 0\n93: 2\n94: 0\n95: false",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val bool2 = (OUTPUTS.size > placeholder[Int](0)) && (OUTPUTS(placeholder[Int](1)).propositionBytes == coll1)\n val coll3 = SELF.tokens\n val tuple4 = coll3(placeholder[Int](2))\n val tuple5 = SELF.R4[(Boolean, Long)].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R7[Long].get\n val coll8 = SELF.R8[Coll[Coll[Byte]]].get\n val coll9 = if (coll8.size > placeholder[Int](3)) { coll8(placeholder[Int](4)) } else { Coll[Byte]() }\n val bool10 = coll9.size == placeholder[Int](5)\n val bool11 = bool2 && \n val box11 = OUTPUTS(placeholder[Int](6))\n val coll12 = box11.tokens\n (\n (\n (\n (\n (((tuple4._1 == coll12(placeholder[Int](7))._1) && (tuple5 == box11.R4[(Boolean, Long)].get)) && (l6 == box11.R5[Long].get)) && (\n l7 == box11.R7[Long].get\n )\n ) && (coll8 == box11.R8[Coll[Coll[Byte]]].get)\n ) && (SELF.R9[Coll[Byte]].get == box11.R9[Coll[Byte]].get)\n ) && (coll1 == box11.propositionBytes)\n ) && if (bool10) {(\n val i13 = coll12.size\n (i13 == placeholder[Int](8)) || (i13 == placeholder[Int](9))\n )} else {(\n val i13 = coll12.size\n ((i13 == placeholder[Int](10)) || (i13 == placeholder[Int](11))) || (i13 == placeholder[Int](12))\n )}\n \n val bool12 = !bool2\n val coll13 = SELF.R6[Coll[Long]].get\n val l14 = coll13(placeholder[Int](13))\n val bool15 = bool12 || (l14 == OUTPUTS(placeholder[Int](14)).R6[Coll[Long]].get(placeholder[Int](15)))\n val l16 = coll13(placeholder[Int](16))\n val bool17 = bool12 || (l16 == OUTPUTS(placeholder[Int](17)).R6[Coll[Long]].get(placeholder[Int](18)))\n val coll18 = coll8(placeholder[Int](19))\n val bool19 = bool12 || \n val coll19 = coll3.filter({(tuple19: (Coll[Byte], Long)) => tuple19._1 == coll18 })\n val coll20 = OUTPUTS(placeholder[Int](20)).tokens.filter({(tuple20: (Coll[Byte], Long)) => tuple20._1 == coll18 })\n if (coll19.size > placeholder[Int](21)) { coll19(placeholder[Int](22))._2 } else { placeholder[Long](23) } == if (coll20.size > placeholder[Int](24)) {\n coll20(placeholder[Int](25))._2\n } else { placeholder[Long](26) }\n \n val l20 = tuple4._2\n val func21 = {(box21: Box) =>\n val coll23 = box21.tokens.filter({(tuple23: (Coll[Byte], Long)) => tuple23._1 == coll18 })\n val coll24 = box21.R6[Coll[Long]].get\n val l25 = if (coll23.size > placeholder[Int](27)) { coll23(placeholder[Int](28))._2 } else { placeholder[Long](29) } - coll24(\n placeholder[Int](30)\n ) + coll24(placeholder[Int](31)) + coll24(placeholder[Int](32))\n if (l25 < placeholder[Long](33)) { placeholder[Long](34) } else { l25 }\n }\n val func22 = {(box22: Box) => if (bool10) { box22.value } else {(\n val coll24 = box22.tokens.filter({(tuple24: (Coll[Byte], Long)) => tuple24._1 == coll9 })\n if (coll24.size > placeholder[Int](35)) { coll24(placeholder[Int](36))._2 } else { placeholder[Long](37) }\n )} }\n val l23 = coll13(placeholder[Int](38))\n val bool24 = bool12 || (l23 == OUTPUTS(placeholder[Int](39)).R6[Coll[Long]].get(placeholder[Int](40)))\n val l25 = l23 - l14\n val coll26 = coll8(placeholder[Int](41))\n val coll27 = OUTPUTS.filter({(box27: Box) => box27.propositionBytes == coll26 })\n val coll28 = OUTPUTS.filter({(box28: Box) => blake2b256(box28.propositionBytes) == coll8(placeholder[Int](42)) })\n val l29 = SELF.value\n val l30 = if (bool10) { if (bool2) { l29 - OUTPUTS(placeholder[Int](43)).value } else { l29 } } else {\n func22(SELF) - if (bool2) { func22(OUTPUTS(placeholder[Int](44))) } else { placeholder[Long](45) }\n }\n val bool31 = bool12 || (l20 == OUTPUTS(placeholder[Int](46)).tokens(placeholder[Int](47))._2)\n val bi32 = l30.toBigInt\n val bi33 = bi32 * byteArrayToBigInt(coll8(placeholder[Int](48))) / placeholder[BigInt](49)\n val bi34 = bi32 - bi33\n val bool35 = l25 >= l6\n val bool36 = bool12 || \n val box36 = OUTPUTS(placeholder[Int](50))\n (l29 == box36.value) && if (bool10) { placeholder[Boolean](51) } else { func22(SELF) == func22(box36) }\n \n val coll37 = coll3.filter({(tuple37: (Coll[Byte], Long)) => tuple37._1 == coll18 })\n val l38 = if (bool2) {(\n val coll38 = OUTPUTS(placeholder[Int](52)).tokens.filter({(tuple38: (Coll[Byte], Long)) => tuple38._1 == coll18 })\n if (coll38.size > placeholder[Int](53)) { coll38(placeholder[Int](54))._2 } else { placeholder[Long](55) }\n )} else { placeholder[Long](56) } - if (coll37.size > placeholder[Int](57)) { coll37(placeholder[Int](58))._2 } else { placeholder[Long](59) }\n val l39 = !l38\n val i40 = coll26.size\n val prop41 = sigmaProp(INPUTS.exists({(box41: Box) => box41.propositionBytes == coll26 })) || if (if (i40 >= placeholder[Int](60)) {\n coll26.slice(placeholder[Int](61), placeholder[Int](62)) == placeholder[Coll[Byte]](63)\n } else { placeholder[Boolean](64) }) { proveDlog(decodePoint(coll26.slice(placeholder[Int](65), i40))) } else { sigmaProp(placeholder[Boolean](66)) }\n if (bool11) {(\n val box42 = OUTPUTS(placeholder[Int](67))\n val l43 = l20 - box42.tokens(placeholder[Int](68))._2\n val l44 = box42.R6[Coll[Long]].get(placeholder[Int](69)) - l23\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool11, bool15, bool17, bool19)), l43 <= func21(SELF), func22(box42) - func22(SELF) == l43 * l7, allOf(\n Coll[Boolean](l43 == l44, l44 > placeholder[Long](70))\n )\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](71)) } || if (bool11) {(\n val box42 = OUTPUTS(placeholder[Int](72))\n val l43 = box42.tokens(placeholder[Int](73))._2 - l20\n val l44 = box42.R6[Coll[Long]].get(placeholder[Int](74)) - l14\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool11, bool24, bool17, bool19)), (if (tuple5._1) { CONTEXT.preHeader.timestamp } else { HEIGHT.toLong } > tuple5._2) && (\n l25 < l6\n ), allOf(Coll[Boolean](l43 == l44, l44 > placeholder[Long](75))), func22(SELF) - func22(box42) == l43 * l7\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](76)) } || if ((coll27.size > placeholder[Int](77)) && (coll28.size > placeholder[Int](78))) {(\n val box42 = coll28(placeholder[Int](79))\n val box43 = coll27(placeholder[Int](80))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n bool11 || (\n if (bool10) { l30 == l29 } else { l30 == func22(SELF) } && (!coll3.exists({(tuple44: (Coll[Byte], Long)) => tuple44._1 == coll18 }))\n ), bool24, bool15, bool17, bool31, bool19\n )\n ), bool35, if (bool10) { box42.value.toBigInt == bi33 } else {(\n val coll44 = box42.tokens.filter({(tuple44: (Coll[Byte], Long)) => tuple44._1 == coll9 })\n if (coll44.size > placeholder[Int](81)) { coll44(placeholder[Int](82))._2 } else { placeholder[Long](83) }.toBigInt == bi33\n )}, if (bool10) { box43.value.toBigInt == bi34 } else {(\n val coll44 = box43.tokens.filter({(tuple44: (Coll[Byte], Long)) => tuple44._1 == coll9 })\n if (coll44.size > placeholder[Int](84)) { coll44(placeholder[Int](85))._2 } else { placeholder[Long](86) }.toBigInt == bi34\n )}\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](87)) } || sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](bool11 || (!OUTPUTS.exists({(box42: Box) => box42.propositionBytes == coll1 })), bool24, bool15, bool17, bool36, bool31)\n ), l38 < placeholder[Long](88), l39 <= func21(SELF)\n )\n )\n ) && prop41 || if (bool2) {\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](bool11, bool24, bool15, bool17, bool36, bool31)), l38 > placeholder[Long](89)))) && prop41\n } else { sigmaProp(placeholder[Boolean](90)) } || if (bool2) {(\n val box42 = OUTPUTS(placeholder[Int](91))\n val l43 = box42.tokens(placeholder[Int](92))._2 - l20\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool11, bool24, bool15, bool36)), bool35, l43 == box42.R6[Coll[Long]].get(placeholder[Int](93)) - l16, allOf(\n Coll[Boolean](l43 == l39, l43 > placeholder[Long](94))\n )\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](95)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "fd9a899f4c693ce9d9ea1601c0f79835abcd3c22877db3ea4895610c1c00ee9a",
"index": 0,
"amount": 99999002,
"name": "CAT GOLD - 24 NOV APT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 1100,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "05d00f",
"sigmaType": "SLong",
"renderedValue": "1000"
},
"R6": {
"serializedValue": "1103d00f0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,0,0]"
},
"R8": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7,a0aa6d3cdd7660b87c44e025f0b7eab6e46ee3f7a85a678df7256c706ce923db,05,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71,74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a]"
},
"R7": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
},
"R9": {
"serializedValue": "0e437b227469746c65223a2243415420474f4c44202d203234204e4f56222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22227d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a2243415420474f4c44202d203234204e4f56222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22227d"
},
"R4": {
"serializedValue": "3d050194b3e9c4f066",
"sigmaType": "(SBoolean, SLong)",
"renderedValue": "[true,1767451208906]"
}
},
"spentTransactionId": "4388980eca35ce89886fce7c51eb750b6ad0802c30643006e4d513bc5e1aecc8",
"mainChain": true
},
{
"boxId": "9a491d166229ab3b64c7b86ad6301af60500450305bc1071d7c89cb2b5cc1d4a",
"transactionId": "30632b929cfb6d8145b8a7695c5aad6ab4b65448ff4df51500cd8736164bd5dc",
"blockId": "60186292b6ab589d9df79382438bd2c32f5a7bde40b87fab80d843276c975650",
"value": 1000000,
"index": 1,
"globalIndex": 52775669,
"creationHeight": 1693461,
"settlementHeight": 1693462,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 0,
"amount": 950,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "a0539ed3d0171d55fd7f6d23a94b71694cfb5e614019ac776d23c2e3238db875",
"mainChain": true
},
{
"boxId": "7f1d1f0da5a2d672f6edd175d8a9cd1c1ae82df091587e8680836dcbd320e9da",
"transactionId": "30632b929cfb6d8145b8a7695c5aad6ab4b65448ff4df51500cd8736164bd5dc",
"blockId": "60186292b6ab589d9df79382438bd2c32f5a7bde40b87fab80d843276c975650",
"value": 1000000,
"index": 2,
"globalIndex": 52775670,
"creationHeight": 1693461,
"settlementHeight": 1693462,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 1\n7: 2\n8: 3\n9: 32\n10: 100\n11: 5000000\n12: 5000000\n13: SigmaProp(ProveDlog(ECPoint(56b254,f723bc,...)))\n14: SigmaProp(ProveDlog(ECPoint(25bede,bb0a11,...)))\n15: SigmaProp(ProveDlog(ECPoint(1bf847,c2be87,...)))\n16: 4\n17: 100\n18: SigmaProp(ProveDlog(ECPoint(5a9770,d3c928,...)))",
"ergoTreeScript": "{\n val opt1 = SELF.R4[Coll[Byte]]\n val coll2 = if (opt1.isDefined) { opt1.get } else { Coll[Byte]() }\n val bool3 = coll2.size > placeholder[Int](0)\n val l4 = OUTPUTS.map({(box4: Box) => box4.value }).fold(placeholder[Long](1), {(tuple4: (Long, Long)) => tuple4._1 + tuple4._2 })\n val func5 = {(box5: Box) => if (bool3) {(\n val coll7 = box5.tokens.filter({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (coll7.size > placeholder[Int](2)) { coll7(placeholder[Int](3))._2 } else { placeholder[Long](4) }\n )} else { box5.value } }\n val box6 = OUTPUTS(placeholder[Int](5))\n val box7 = OUTPUTS(placeholder[Int](6))\n val box8 = OUTPUTS(placeholder[Int](7))\n val box9 = OUTPUTS(placeholder[Int](8))\n val l10 = if (bool3) { func5(box6) + func5(box7) + func5(box8) + func5(box9) } else { l4 }\n val l11 = placeholder[Long](9) * l10 / placeholder[Long](10)\n sigmaProp(\n allOf(\n Coll[Boolean](\n if (bool3) { l4 >= placeholder[Long](11) } else { l4 >= placeholder[Long](12) }, allOf(\n Coll[Boolean](\n (func5(box6) == l11) && (box6.propositionBytes == placeholder[SigmaProp](13).propBytes), (func5(box7) == l11) && (\n box7.propositionBytes == placeholder[SigmaProp](14).propBytes\n ), (func5(box8) == l11) && (box8.propositionBytes == placeholder[SigmaProp](15).propBytes), (\n func5(box9) == placeholder[Long](16) * l10 / placeholder[Long](17)\n ) && (box9.propositionBytes == placeholder[SigmaProp](18).propBytes)\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 0,
"amount": 50,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2074b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"sigmaType": "Coll[SByte]",
"renderedValue": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "eaa3eb78802b5c427766dfd57112e450993c158b0e15a2650c3045191a704fc8",
"transactionId": "30632b929cfb6d8145b8a7695c5aad6ab4b65448ff4df51500cd8736164bd5dc",
"blockId": "60186292b6ab589d9df79382438bd2c32f5a7bde40b87fab80d843276c975650",
"value": 1100000,
"index": 3,
"globalIndex": 52775671,
"creationHeight": 1693461,
"settlementHeight": 1693462,
"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": "4ae5de0d0bf0a5466143bdbed69b84782e270bee35b132533449ca99777ec8d3",
"mainChain": true
},
{
"boxId": "3ce004a84f8a7190dbe96417d54c088d6d98bec4f072fcacdf59af53d84ae87d",
"transactionId": "30632b929cfb6d8145b8a7695c5aad6ab4b65448ff4df51500cd8736164bd5dc",
"blockId": "60186292b6ab589d9df79382438bd2c32f5a7bde40b87fab80d843276c975650",
"value": 996900000,
"index": 4,
"globalIndex": 52775672,
"creationHeight": 1693461,
"settlementHeight": 1693462,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "a0539ed3d0171d55fd7f6d23a94b71694cfb5e614019ac776d23c2e3238db875",
"mainChain": true
}
],
"size": 2872,
"isUnconfirmed": false
}