Transaction
ID: a63bdd2312...d013
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0189 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.201 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0079 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 189,639
Total coins transferred: 0.2199 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000497 ERG
Raw Transaction Data
{
"id": "a63bdd23123f06d412e253cf398564dc92844748f9b711d45c34f10a89d7d013",
"blockId": "72b05eb810689cd9302fab16fa593fc9db8715ce7e0a0171409dae57d6e3d511",
"inclusionHeight": 1570348,
"timestamp": 1752746359719,
"index": 9,
"globalIndex": 9222308,
"numConfirmations": 189639,
"inputs": [
{
"boxId": "4763a57198d77fc61214c11db1346e9b4a631c651b7827b33d6e5fe899118780",
"value": 100000000,
"index": 0,
"spendingProof": "bd5c42557a5ec746cf5c155f5d97f744cc7ff6ea6076514582e8beb4235b0a3eabb5f85bf7e051f03e483226421a95248c545ed8b298bcba",
"outputBlockId": "72b05eb810689cd9302fab16fa593fc9db8715ce7e0a0171409dae57d6e3d511",
"outputTransactionId": "d0c196b7f9bfe844cb559c6a7d19ca8a3f519b5368cdf584fdaa941375502e6d",
"outputIndex": 0,
"outputGlobalIndex": 48932008,
"outputCreatedAt": 1570347,
"outputSettledAt": 1570348,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 1\n4: 127\n5: 3\n6: 2\n7: 1\n8: 1\n9: 0\n10: 0\n11: 1\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 2\n18: false\n19: 2\n20: 0\n21: 0\n22: 1\n23: 0\n24: 0\n25: 1\n26: 3\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: false\n33: 0\n34: false\n35: 1\n36: 1\n37: true\n38: 0\n39: 1\n40: false\n41: false",
"ergoTreeScript": "{\n val i1 = getVar[Int](0.toByte).get\n val tuple2 = SELF.R5[(Coll[Byte], Long)].get\n val l3 = tuple2._2\n val l4 = SELF.value\n val coll5 = SELF.tokens\n val coll6 = coll5(placeholder[Int](0))._1\n val ge7 = SELF.R4[GroupElement].get\n val tuple8 = SELF.R6[(Long, Long)].get\n val tuple9 = SELF.R8[(Coll[Byte], Boolean)].get\n val tuple10 = SELF.R9[(Coll[Coll[Byte]], Long)].get\n val prop11 = proveDlog(ge7)\n val func12 = {(tuple12: (SigmaProp, Box)) =>\n val coll14 = tuple12._2.propositionBytes\n val coll15 = tuple12._1.propBytes\n if (coll14(placeholder[Int](1)).toInt == placeholder[Int](2)) { coll14 == coll15 } else {(\n val i16 = coll14.size\n coll15.slice(placeholder[Int](3), coll15.size) == coll14.slice(if (i16 > placeholder[Int](4)) { placeholder[Int](5) } else { placeholder[Int](6) }, i16)\n )}\n }\n val coll13 = SELF.R7[Coll[GroupElement]].get\n val i14 = coll13.size\n val func15 = {(box15: Box) => (box15.value >= tuple10._2) && (blake2b256(box15.propositionBytes) == tuple10._1(placeholder[Int](7))) }\n val coll16 = tuple9._1\n val l17 = tuple8._2\n val i18 = coll5.size\n if (i1 == placeholder[Int](8)) { sigmaProp(if (l3 <= placeholder[Long](9)) {(\n val box19 = OUTPUTS(placeholder[Int](10))\n val box20 = OUTPUTS(placeholder[Int](11))\n val coll21 = SELF.id\n val tuple22 = box20.tokens(placeholder[Int](12))\n val l23 = tuple22._2\n ((allOf(Coll[Boolean](box19.value == l4, box19.tokens(placeholder[Int](13)) == (coll6, placeholder[Long](14)), box19.R4[GroupElement].get == ge7, box19.R6[(Long, Long)].get == tuple8, box19.R8[(Coll[Byte], Boolean)].get == tuple9, box19.R9[(Coll[Coll[Byte]], Long)].get == tuple10)) && (((func12((prop11, box20)) && (OUTPUTS.filter({(box24: Box) => box24.tokens.exists({(tuple26: (Coll[Byte], Long)) => tuple26._1 == coll21 }) }).size == placeholder[Int](15))) && allOf(Coll[Boolean](tuple22._1 == coll21, l23 > placeholder[Long](16)))) && (box19.R5[(Coll[Byte], Long)].get == (coll21, l23)))) && (box19.R7[Coll[GroupElement]].get.size >= i14)) && func15(OUTPUTS(placeholder[Int](17)))\n )} else { placeholder[Boolean](18) }) && prop11 } else { if (i1 == placeholder[Int](19)) {(\n val box19 = OUTPUTS(placeholder[Int](20))\n val coll20 = box19.tokens\n sigmaProp((allOf(Coll[Boolean](coll20(placeholder[Int](21)) == (coll6, placeholder[Long](22)), box19.R4[GroupElement].get == ge7, box19.R5[(Coll[Byte], Long)].get == tuple2, box19.R6[(Long, Long)].get == tuple8, box19.R7[Coll[GroupElement]].get == coll13, box19.R8[(Coll[Byte], Boolean)].get == tuple9, box19.R9[(Coll[Coll[Byte]], Long)].get == tuple10)) && ((box19.value >= l4) && coll20.forall({(tuple21: (Coll[Byte], Long)) =>\n val coll23 = tuple21._1\n coll20.fold(placeholder[Long](23), {(tuple24: (Long, (Coll[Byte], Long))) =>\n val tuple26 = tuple24._2\n val l27 = tuple24._1\n if (tuple26._1 == coll23) { l27 + tuple26._2 } else { l27 }\n }) >= coll5.fold(placeholder[Long](24), {(tuple24: (Long, (Coll[Byte], Long))) =>\n val tuple26 = tuple24._2\n val l27 = tuple24._1\n if (tuple26._1 == coll23) { l27 + tuple26._2 } else { l27 }\n })\n }))) && func15(OUTPUTS(placeholder[Int](25)))) && prop11\n )} else { if (i1 == placeholder[Int](26)) { sigmaProp(if (l3 > placeholder[Long](27)) {(\n val box19 = INPUTS(placeholder[Int](28))\n ((((if (coll16.size > placeholder[Int](29)) {(\n val box20 = CONTEXT.dataInputs(placeholder[Int](30))\n val l21 = box20.R4[Long].get\n (box20.tokens(placeholder[Int](31))._1 == coll16) && if (tuple9._2) { l21 >= l17 } else { l21 <= l17 }\n )} else { placeholder[Boolean](32) } || (HEIGHT.toLong > tuple8._1)) || if (i14 > placeholder[Int](33)) { coll13.exists({(ge20: GroupElement) => func12((proveDlog(ge20), box19)) }) } else { placeholder[Boolean](34) }) && ({(box20: Box) => box20.tokens.exists({(tuple22: (Coll[Byte], Long)) => tuple22._1 == tuple2._1 }) }(box19) && {(tuple20: (Box, Box)) =>\n val box22 = tuple20._2\n ((box22.value == l4) && (box22.propositionBytes == tuple20._1.propositionBytes)) && if (i18 > placeholder[Int](35)) { box22.tokens == coll5.slice(placeholder[Int](36), i18) } else { placeholder[Boolean](37) }\n }((box19, OUTPUTS(placeholder[Int](38)))))) && {(coll20: Coll[Byte]) => OUTPUTS.forall({(box22: Box) => box22.tokens.forall({(tuple24: (Coll[Byte], Long)) => tuple24._1 != coll20 }) && (box22.propositionBytes != SELF.propositionBytes) }) }(coll6)) && func15(OUTPUTS(placeholder[Int](39)))\n )} else { placeholder[Boolean](40) }) } else { sigmaProp(placeholder[Boolean](41)) } } }\n}",
"address": "MBQ2yyXaqgrP5y4fURjpd2e6egNdrKwEdZUNm8zdLZxk9kFJFZY6pqzimtn24s5FVTMB96n5YUGK1t2YV9VTYk81zBTDVu91yzRNb5RR3gF76b7FmYDcRUpS67B6dm6XqHaaAJzmArcopACEC8ccEKrGmEVtozqBh51hyxpuHdWvJvJ3JUfUNSiytjuHxsGeLVpCLnfdFKVYiyv14Y6M3V1iybBan3VvysyU56ukjij7U96YpZ8KTfBqnN5A6oeCerxf3WKZ85JzxxtHTyg5P1bYXCoR313r6KVZPTs4Scd6anstxJR5kfvvu85J9nowX7wQoVruLSofNhCeNKwxWqnkrbyWzNYUXL9w2Df7jV5mqH3PieSoMUAkcMrFP2GrDbyYZMBAxafcerR36YKPTaLGzSNSrh1WzaFYPFwdF41FGook9JWiZ9JR8uswkK5Uy4ShNP9JV1qyobq8973rW1Hhsoo5k7rim2kAqiR8upsgrD29evdVMJJ5MztHynhrRxdRZPFeyhnr6H3KuQXV37TaNPzwoimmbR53aBzWV7zMcPX94gAAVEr3PJmdMMiin5mit11AP26ik1Vn4m4mFbbStWUNa47iDQ3a879ENLrEuyg8WdiQGcQGjzBXVdiqrETZo6XHptrWSL7o6ZvuQ3iSVKdoKvVVEafmPjDCm6xExLb58nPPwe6NFsp68UrevhmfSEAAPrREouDnUCSR9c1x4YFVEJ94JCy3Zvic6udmZhQLnaXFCXfj1ts6awB8dbcqx2QqVxW8T3FzJjhbv4mMzANfCUsWvDYxKX5rgNj31TvwXQAFAsJrJQ1dTCny9RTrbRw3c3nkZBxdc5sGQQGqFTfdkWfkYwJ1u2vXNY1A7cp8LsMmWbUyHowUruUfqh8faD1ET7nhGJaRrD9mtdEopm7oMoHa6btFBY6S1ocDEZfq72JNJqfzQrNPqvE6qTBPri8aps1mrLPVNg2qJUtGair9YSbYHfMy5NkMaec57jBszycaEzZhP6pQhrd3oWyiVBt773w85bEupqF6DhKZ77m7im9W7F8YCB1qn2MFi5AU4UCCxKhCtupN6Qchc14aBh9n1vkRBoREWM4QSTuCg49JdFzuu6VSuVSPas9VFxCu7j392y9pzchjrmqEMdDz1BgTLmMueqopSo3DsQQGJownXTfYfSUnyFH89dXwvUstnn5H3xWKZpdyot2rcKVcW5oEqzF1NFuFLNBgMyytGTzbQJerbEzvdqdguYbVRnjVXcg3HMGPLzXgc31NGqKdxjYmNKJEfTxHtdcwbGu6uiyWN6z2AapeNLBEnngcAUhXHzo7aaK19b9BgPuhqsXdE9ioLS4rF9",
"assets": [
{
"tokenId": "82f3bc4baeaa4fd9ca36258e45bbe38e285dcca320e644baac7eb7f7c4e2ecd1",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e200c534575119a513ff0de9189e39fa5cc7b8dc0ff3eca73446e029c71b4ff7baa06",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[0c534575119a513ff0de9189e39fa5cc7b8dc0ff3eca73446e029c71b4ff7baa,3]"
},
"R6": {
"serializedValue": "59ead8bf0100",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1570357,0]"
},
"R8": {
"serializedValue": "490e0001",
"sigmaType": "(Coll[SByte], SBoolean)",
"renderedValue": "[,true]"
},
"R7": {
"serializedValue": "13010219de7e3550ddd6403a2e4f136bfa2b22f878e863b44838a76da3e987a416b0a0",
"sigmaType": "Coll[SGroupElement]",
"renderedValue": "[0219de7e3550ddd6403a2e4f136bfa2b22f878e863b44838a76da3e987a416b0a0]"
},
"R9": {
"serializedValue": "4d1a02114b75736874692773205369676d614c6f6b208ac8ee5bf86c5eb597afe8611b58389fcd38481d9fa811905ea5095ccf4cc03180dac409",
"sigmaType": "(Coll[Coll[SByte]], SLong)",
"renderedValue": "[[4b75736874692773205369676d614c6f6b,8ac8ee5bf86c5eb597afe8611b58389fcd38481d9fa811905ea5095ccf4cc031],10000000]"
},
"R4": {
"serializedValue": "0703bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
"sigmaType": "SGroupElement",
"renderedValue": "03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3"
}
}
},
{
"boxId": "09bca09321cc2de75c126cb47ecbe4b5d876aa7208d4b44fb6c20546d1d43f23",
"value": 1000000,
"index": 1,
"spendingProof": "1a92db0d9d0c7496c3fa1e083f4b3cd82594c6087c6a515f35915a9dd8a2c318fd97346d03e180ac05bbede3a646e72935cd062a83a799e4",
"outputBlockId": "72b05eb810689cd9302fab16fa593fc9db8715ce7e0a0171409dae57d6e3d511",
"outputTransactionId": "d0c196b7f9bfe844cb559c6a7d19ca8a3f519b5368cdf584fdaa941375502e6d",
"outputIndex": 1,
"outputGlobalIndex": 48932009,
"outputCreatedAt": 1570347,
"outputSettledAt": 1570348,
"ergoTree": "0008cd03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bcb433,44ea69,...)))}",
"address": "9htusyMs2kpgjxoDNdt2CTNS15azd2vg8M8gWD9fhkxQWKCqALK",
"assets": [
{
"tokenId": "0c534575119a513ff0de9189e39fa5cc7b8dc0ff3eca73446e029c71b4ff7baa",
"index": 0,
"amount": 3,
"name": "Kushti's SigmaLok Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e154b75736874692773205369676d614c6f6b204b6579",
"sigmaType": "Coll[SByte]",
"renderedValue": "4b75736874692773205369676d614c6f6b204b6579"
},
"R5": {
"serializedValue": "0e154b75736874692773205369676d614c6f6b204b6579",
"sigmaType": "Coll[SByte]",
"renderedValue": "4b75736874692773205369676d614c6f6b204b6579"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
}
},
{
"boxId": "44969f01632c428c26fd2e26dd4aa07b70c079d1e9adb2561bea1089183d3d3a",
"value": 18900000,
"index": 2,
"spendingProof": "05129c36fdbe12d6a04201911c3686723a7ff5efb689979546c13eb9e9ceb6b4cb403f74431c4424d1a8b92589d7f25574875981ac569b1a",
"outputBlockId": "72b05eb810689cd9302fab16fa593fc9db8715ce7e0a0171409dae57d6e3d511",
"outputTransactionId": "d0c196b7f9bfe844cb559c6a7d19ca8a3f519b5368cdf584fdaa941375502e6d",
"outputIndex": 4,
"outputGlobalIndex": 48932012,
"outputCreatedAt": 1570347,
"outputSettledAt": 1570348,
"ergoTree": "0008cd03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bcb433,44ea69,...)))}",
"address": "9htusyMs2kpgjxoDNdt2CTNS15azd2vg8M8gWD9fhkxQWKCqALK",
"assets": [
{
"tokenId": "2994f996a9afc4b275cc90f99b86a6f8cb4961dfc82f5f07a0346a51c2ecdad0",
"index": 0,
"amount": 3,
"name": "Kushti's SigmaLok Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3eb1ed0db4b58f77ef6fceaa5684f742f7fe82470c77291184ab13803cd5e027",
"index": 1,
"amount": 3,
"name": "Kushti's SigmaLok Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b0cd29c071483e39203bd19530ec5f74f819b3edec4b991afe8e572cc3552f20",
"index": 2,
"amount": 3,
"name": "Kushti's SigmaLok Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "491ccbf2e34e8878b2773163fcaed8e14f8d592fe0cb6b121b0d1e57833ea101",
"index": 3,
"amount": 3,
"name": "Kushti's SigmaLok Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2cd0ace46adfcf963e01ef5f9767992c02e0dd3b4386387e91e3a1b62180999d",
"index": 4,
"amount": 92,
"name": "Treasure",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "96144fbc91ddc161247740ddbe7dc8fba6a1190d64bbb1c5d22592cd8efdf149",
"index": 5,
"amount": 3,
"name": "Kushti's SigmaLok Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "2d36c7577f5e8ff67f6b2958b50acd4c4395e68482cde84c6136d1bb45651995",
"value": 100000000,
"index": 3,
"spendingProof": "c80597cb24368ca1f100adaf04f37286ea80f506bb4bebac137d0d0b621a8bcda2b2496f50088912d944beeee2b237ba242769915bcaef26",
"outputBlockId": "9333d0565469db61d151c76c2bc9aeedbee86e00708449485cfbd1cedca783f2",
"outputTransactionId": "eb9c2f5f005bf8460f2b5b1be0389fd61aab39c360b2bb71bf71ccb2b4ae3b6e",
"outputIndex": 0,
"outputGlobalIndex": 48915697,
"outputCreatedAt": 1569727,
"outputSettledAt": 1569728,
"ergoTree": "0008cd03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bcb433,44ea69,...)))}",
"address": "9htusyMs2kpgjxoDNdt2CTNS15azd2vg8M8gWD9fhkxQWKCqALK",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "023224586796b6d054652f3101cf6e7eed630b82c272ac084ef6b391d37faa56",
"transactionId": "a63bdd23123f06d412e253cf398564dc92844748f9b711d45c34f10a89d7d013",
"blockId": "72b05eb810689cd9302fab16fa593fc9db8715ce7e0a0171409dae57d6e3d511",
"value": 201000000,
"index": 0,
"globalIndex": 48932020,
"creationHeight": 1570347,
"settlementHeight": 1570348,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 1\n4: 127\n5: 3\n6: 2\n7: 1\n8: 1\n9: 0\n10: 0\n11: 1\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 2\n18: false\n19: 2\n20: 0\n21: 0\n22: 1\n23: 0\n24: 0\n25: 1\n26: 3\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: false\n33: 0\n34: false\n35: 1\n36: 1\n37: true\n38: 0\n39: 1\n40: false\n41: false",
"ergoTreeScript": "{\n val i1 = getVar[Int](0.toByte).get\n val tuple2 = SELF.R5[(Coll[Byte], Long)].get\n val l3 = tuple2._2\n val l4 = SELF.value\n val coll5 = SELF.tokens\n val coll6 = coll5(placeholder[Int](0))._1\n val ge7 = SELF.R4[GroupElement].get\n val tuple8 = SELF.R6[(Long, Long)].get\n val tuple9 = SELF.R8[(Coll[Byte], Boolean)].get\n val tuple10 = SELF.R9[(Coll[Coll[Byte]], Long)].get\n val prop11 = proveDlog(ge7)\n val func12 = {(tuple12: (SigmaProp, Box)) =>\n val coll14 = tuple12._2.propositionBytes\n val coll15 = tuple12._1.propBytes\n if (coll14(placeholder[Int](1)).toInt == placeholder[Int](2)) { coll14 == coll15 } else {(\n val i16 = coll14.size\n coll15.slice(placeholder[Int](3), coll15.size) == coll14.slice(if (i16 > placeholder[Int](4)) { placeholder[Int](5) } else { placeholder[Int](6) }, i16)\n )}\n }\n val coll13 = SELF.R7[Coll[GroupElement]].get\n val i14 = coll13.size\n val func15 = {(box15: Box) => (box15.value >= tuple10._2) && (blake2b256(box15.propositionBytes) == tuple10._1(placeholder[Int](7))) }\n val coll16 = tuple9._1\n val l17 = tuple8._2\n val i18 = coll5.size\n if (i1 == placeholder[Int](8)) { sigmaProp(if (l3 <= placeholder[Long](9)) {(\n val box19 = OUTPUTS(placeholder[Int](10))\n val box20 = OUTPUTS(placeholder[Int](11))\n val coll21 = SELF.id\n val tuple22 = box20.tokens(placeholder[Int](12))\n val l23 = tuple22._2\n ((allOf(Coll[Boolean](box19.value == l4, box19.tokens(placeholder[Int](13)) == (coll6, placeholder[Long](14)), box19.R4[GroupElement].get == ge7, box19.R6[(Long, Long)].get == tuple8, box19.R8[(Coll[Byte], Boolean)].get == tuple9, box19.R9[(Coll[Coll[Byte]], Long)].get == tuple10)) && (((func12((prop11, box20)) && (OUTPUTS.filter({(box24: Box) => box24.tokens.exists({(tuple26: (Coll[Byte], Long)) => tuple26._1 == coll21 }) }).size == placeholder[Int](15))) && allOf(Coll[Boolean](tuple22._1 == coll21, l23 > placeholder[Long](16)))) && (box19.R5[(Coll[Byte], Long)].get == (coll21, l23)))) && (box19.R7[Coll[GroupElement]].get.size >= i14)) && func15(OUTPUTS(placeholder[Int](17)))\n )} else { placeholder[Boolean](18) }) && prop11 } else { if (i1 == placeholder[Int](19)) {(\n val box19 = OUTPUTS(placeholder[Int](20))\n val coll20 = box19.tokens\n sigmaProp((allOf(Coll[Boolean](coll20(placeholder[Int](21)) == (coll6, placeholder[Long](22)), box19.R4[GroupElement].get == ge7, box19.R5[(Coll[Byte], Long)].get == tuple2, box19.R6[(Long, Long)].get == tuple8, box19.R7[Coll[GroupElement]].get == coll13, box19.R8[(Coll[Byte], Boolean)].get == tuple9, box19.R9[(Coll[Coll[Byte]], Long)].get == tuple10)) && ((box19.value >= l4) && coll20.forall({(tuple21: (Coll[Byte], Long)) =>\n val coll23 = tuple21._1\n coll20.fold(placeholder[Long](23), {(tuple24: (Long, (Coll[Byte], Long))) =>\n val tuple26 = tuple24._2\n val l27 = tuple24._1\n if (tuple26._1 == coll23) { l27 + tuple26._2 } else { l27 }\n }) >= coll5.fold(placeholder[Long](24), {(tuple24: (Long, (Coll[Byte], Long))) =>\n val tuple26 = tuple24._2\n val l27 = tuple24._1\n if (tuple26._1 == coll23) { l27 + tuple26._2 } else { l27 }\n })\n }))) && func15(OUTPUTS(placeholder[Int](25)))) && prop11\n )} else { if (i1 == placeholder[Int](26)) { sigmaProp(if (l3 > placeholder[Long](27)) {(\n val box19 = INPUTS(placeholder[Int](28))\n ((((if (coll16.size > placeholder[Int](29)) {(\n val box20 = CONTEXT.dataInputs(placeholder[Int](30))\n val l21 = box20.R4[Long].get\n (box20.tokens(placeholder[Int](31))._1 == coll16) && if (tuple9._2) { l21 >= l17 } else { l21 <= l17 }\n )} else { placeholder[Boolean](32) } || (HEIGHT.toLong > tuple8._1)) || if (i14 > placeholder[Int](33)) { coll13.exists({(ge20: GroupElement) => func12((proveDlog(ge20), box19)) }) } else { placeholder[Boolean](34) }) && ({(box20: Box) => box20.tokens.exists({(tuple22: (Coll[Byte], Long)) => tuple22._1 == tuple2._1 }) }(box19) && {(tuple20: (Box, Box)) =>\n val box22 = tuple20._2\n ((box22.value == l4) && (box22.propositionBytes == tuple20._1.propositionBytes)) && if (i18 > placeholder[Int](35)) { box22.tokens == coll5.slice(placeholder[Int](36), i18) } else { placeholder[Boolean](37) }\n }((box19, OUTPUTS(placeholder[Int](38)))))) && {(coll20: Coll[Byte]) => OUTPUTS.forall({(box22: Box) => box22.tokens.forall({(tuple24: (Coll[Byte], Long)) => tuple24._1 != coll20 }) && (box22.propositionBytes != SELF.propositionBytes) }) }(coll6)) && func15(OUTPUTS(placeholder[Int](39)))\n )} else { placeholder[Boolean](40) }) } else { sigmaProp(placeholder[Boolean](41)) } } }\n}",
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"assets": [
{
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"additionalRegisters": {
"R5": {
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"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[0c534575119a513ff0de9189e39fa5cc7b8dc0ff3eca73446e029c71b4ff7baa,3]"
},
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"sigmaType": "(SLong, SLong)",
"renderedValue": "[1570357,0]"
},
"R8": {
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"sigmaType": "(Coll[SByte], SBoolean)",
"renderedValue": "[,true]"
},
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"sigmaType": "Coll[SGroupElement]",
"renderedValue": "[0219de7e3550ddd6403a2e4f136bfa2b22f878e863b44838a76da3e987a416b0a0]"
},
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"sigmaType": "(Coll[Coll[SByte]], SLong)",
"renderedValue": "[[4b75736874692773205369676d614c6f6b,8ac8ee5bf86c5eb597afe8611b58389fcd38481d9fa811905ea5095ccf4cc031],10000000]"
},
"R4": {
"serializedValue": "0703bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
"sigmaType": "SGroupElement",
"renderedValue": "03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3"
}
},
"spentTransactionId": "ec025eefb6ade1760936206e7438e6ea47fa6480d7ac0aa1c9d196699f910c6b",
"mainChain": true
},
{
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"transactionId": "a63bdd23123f06d412e253cf398564dc92844748f9b711d45c34f10a89d7d013",
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"index": 1,
"globalIndex": 48932021,
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"settlementHeight": 1570348,
"ergoTree": "0008cd0219de7e3550ddd6403a2e4f136bfa2b22f878e863b44838a76da3e987a416b0a0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19de7e,2d53d9,...)))}",
"address": "9eiTJkLo4CjFgp7eC9mgcJ1DpcENubWshZAASQZWzNEwpQKBJr2",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "2296345a0da27bcffc54d2ead4ba0c176156ab5b9438ba324d5154b7f156601d",
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"blockId": "72b05eb810689cd9302fab16fa593fc9db8715ce7e0a0171409dae57d6e3d511",
"value": 1000000,
"index": 2,
"globalIndex": 48932022,
"creationHeight": 1570347,
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"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": "e6aba5da71f27aa4164c171637b151c00593ff727bd278eb693c215d4a9d25fb",
"mainChain": true
},
{
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"index": 3,
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"ergoTree": "0008cd03bcb433aca5485fd60832d0b9f1d75d9eb57f218d3b8c049f449e837aa41152d3",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bcb433,44ea69,...)))}",
"address": "9htusyMs2kpgjxoDNdt2CTNS15azd2vg8M8gWD9fhkxQWKCqALK",
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