{
"version": 5,
"timestamp": 1691954374927,
"reference": "vUf9JDV3kdJtMPnyTUUo9uBfvKUMkcsvJXZgcYtSDwP",
"nxt-consensus": {
"base-target": 87,
"generation-signature": "2CNcZDoTSd1yKKA3Zg1npmYEctkAvRtrthUCzF9LJxMaytmGRWdCiknNiafmuNecjnsAQ37n6TwFvijC45GS56FcECfCYAkpBcnc8g6rTaLLb1uxZ547zjjDDvaQhJ2KCsdf"
},
"transactionsRoot": "4Tkg9wpyK3vtdBniQMamAs4KYsBb7QZggQh4uo1TJkmH",
"id": "AZg8ov4DbbXzsJsuXMf7buuJphhaMwDziBLQxJ1DBcrt",
"features": [],
"desiredReward": -1,
"generator": "3N4nTJ5sSp5X5ChS2bBBmwNMn1eeRzT1FoP",
"generatorPublicKey": "EsqRXDXnACFAdXz6EPhF1SbKyeV7MVuoyDqmXsMz7ySv",
"signature": "3PzdLHVMjj8PjsWghomvAZSzN8fDZ3btAsYpti8uuueKa3gsMAKRGpBj5RF9GtSy2wzMYscgun7V93r7nqSMQ8h2",
"blocksize": 7408,
"transactionCount": 12,
"totalFee": 6000000,
"reward": 600000000,
"rewardShares": {
"3Myb6G8DkdBb8YcZzhrky65HrmiNuac3kvS": 200000000,
"3N13KQpdY3UU7JkWUBD9kN7t7xuUgeyYMTT": 200000000,
"3N4nTJ5sSp5X5ChS2bBBmwNMn1eeRzT1FoP": 200000000
},
"VRF": "HrkXsnN1NK6xffNM1JrsUUHZvkvXszMGvFcQKFeVp4zi",
"fee": 6000000,
"previous": "2709198",
"height": "2709199",
"next": "2709200",
"transactions": [
{
"type": 16,
"id": "4aHUwsv7cPR5owLCWtEgL9zkAi72LDJjVVgYgFriWvyp",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1691954362241,
"version": 2,
"chainId": 84,
"sender": "3N9ttyLcRwDo7L4EmJkbS3ZFuQJygivupsL",
"senderPublicKey": "92ovWCy1Zf8CSsTLLLssC74m8yn5yPMqVp9fmVacou97",
"proofs": [
"3xxUWFnptvMQ45JfzYPUAiuxx8J6Tq4Sa1mvvGiLe3k24Pp72CrgGBarkVKWGGiWHc4VdU5BD9h5aCL1p5yD79Kd"
],
"dApp": "3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV",
"payment": [],
"call": {
"function": "commitTask",
"args": [
{
"type": "string",
"value": "BfbbX6zy1o8vngskiJVfSRUDssFyapL2aEmK6iQnQVyx_D2Eu5TQSVkAwDi7WKia7vFRkw5diyFYkCRhRzsVDmjQp"
},
{
"type": "string",
"value": " Linear programming (LP) is a mathematical optimization technique used to determine the best outcome from a set of resources. It involves maximizing or minimizing a linear objective function subject to linear equality and inequality constraints. LP problems are often used in decision-making, such as determining how to allocate scarce resources among competing alternatives. The goal of LP is to find the optimal solution that satisfies all the constraints while meeting the objective function."
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "5vZtMwZrX2V2dqTrAZyiUtk4ZJbE3ACL2R27zFM5yZRH",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1691954375222,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"4Y59WLBnNetboxBoAnovGVjj2dqfFNmg1ziNzaFNpqnX8hZvtqaY9FTX6VgfgcbK9GdvCc3gn5Q5mtuut1YKGjNB"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "finalizeVoting",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "AEA8e73fLzFkBKij7fqJvFYM4TEQeGAPLXTgEbQCuX4z",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1691954375245,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"4DrHNz8KCEbgvMDrubDmtSJipkrKprbYyVf1MASBuhK5MPPZx7Uo5Ri4aNpEy9yMujdsKh9xYKcqAUgsYAvHHDgd"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "finalizeVoting",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "EvY31V1bNyNhGQYVhmj1tC2QbjZJ6o8zhgeS4GKUCP28",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1691954381411,
"version": 2,
"chainId": 84,
"sender": "3N9ttyLcRwDo7L4EmJkbS3ZFuQJygivupsL",
"senderPublicKey": "92ovWCy1Zf8CSsTLLLssC74m8yn5yPMqVp9fmVacou97",
"proofs": [
"rhHm1ujsrL3LgsMRJ5qDo6B67K1qEDasGDmqAiCsgcrj48tJH4ro4tV7SK6D8v7QDw2Pj8KbvVcbGDWNfoHsS36"
],
"dApp": "3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV",
"payment": [],
"call": {
"function": "commitTask",
"args": [
{
"type": "string",
"value": "BfbbX6zy1o8vngskiJVfSRUDssFyapL2aEmK6iQnQVyx_D2Eu5TQSVkAwDi7WKia7vFRkw5diyFYkCRhRzsVDmjQp"
},
{
"type": "string",
"value": " Linear programming (LP) is a mathematical optimization technique used to determine the best outcome from a set of resources. It involves maximizing or minimizing a linear objective function subject to linear equality and inequality constraints. LP problems are often used in decision-making scenarios where resources need to be allocated efficiently to achieve maximum output. The goal of LP is to find the optimal solution that satisfies all the constraints while meeting the objective function."
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "8sXsTyg5VA3MFgCuYnr6KcKGS7EK1sPiT4DJiqTmYpZQ",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1691954382485,
"version": 1,
"sender": "3MuhGCajV9HXunkyuQpwXvHTjTLaMy93g9Y",
"senderPublicKey": "57C4SttrQ3a2s6nHqTyPoKo6g7JFKhvojLkS3qgrVqyv",
"proofs": [
"2NzYziQWjf8NccTt5CmsdjoQ3AWgbx65D7ocTp9cjqJ1kKF25dKiZ3sSXPV3kKmsEuVpEwHqia3dSEFS3BpMKKGp"
],
"dApp": "3N4NS7d4Jo9a6F14LiFUKKYVdUkkf2eP4Zx",
"payment": [],
"call": {
"function": "finalizeCurrentPrice",
"args": [
{
"type": "integer",
"value": 1919580
},
{
"type": "binary",
"value": "base64:+jReKdKbVjDCaM13+nRoPpPYxbFwmGpoBzZQNAkl6Nefh+a9MvBtn8UEubGKcghCZdAW7pu0YyTeuLhiwEPyBw=="
},
{
"type": "integer",
"value": 1919580
},
{
"type": "binary",
"value": "base64:BtvxXAO6svu/3hO2oRndl54+PxrgzRIDbZ1vfnQpbnZZIY6o5IaMUB5qgXReM8eN1Sxu0wxM+dyG7ssFds8SCg=="
},
{
"type": "integer",
"value": 1919580
},
{
"type": "binary",
"value": "base64:ec907VYU9YwJ84HUgOaxrLvpsYSkcTvYTsDQgDvAelXPaaZgJtHJmJmC9Ke2tFtJkyAO5oB7xZwbLBKEwSylCw=="
},
{
"type": "integer",
"value": 1919580
},
{
"type": "binary",
"value": "base64:5nieMMKkN9jIEXKSJxQNvomRKZ4WtM8u9LbS/NrS/gWuLY6WSKXIV7rIB6jDpu3Jr0N1pH1TKTDgtwRcf8EvAQ=="
},
{
"type": "integer",
"value": 1919580
},
{
"type": "binary",
"value": "base64:LFZz0370i2Z+deAzHN70zeXVwtQBsby9HEvrQCkxY5OG7ncCkkOOl1pvDptJiJH6z1cHhMTyUYXS8rfV1idECg=="
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "CewZ7qe4NNAhofUXPVVUmvtzQYFVR8MoqEDNnrrH8JuD",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1691954385275,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"3Pv4rygPZhxBUUgfts1aez8n6r7ixyAYxQQwvvPvojCxnA1J5doCv36dc6upz3DVCMxFW65Z88GNBoqKRHgGPFrv"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "finalizeVoting",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "ETpG6CbmaU1FoCp9ptfPcyVgjjSk15kAB6wHQr3qqE8N",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1691954385292,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"3ccXCo679Vu3s8z4YC77nAk4i6fpc4BsFRZYABQLMKaQTmyoXmRRN9A451CUsCU4xRzWC1Y1sLGV7U5JzMM6PDxV"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "finalizeVoting",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "DX7YnJ1AetDURrz4c51zXoqWqrFkW9bJpXhHo6sLoNy1",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1691954390489,
"version": 1,
"sender": "3NCUKAFDsto71gnSck6XiN9a6Gzz3Citk65",
"senderPublicKey": "oAyXTQzZy4edk6DeVxvaJd78F97qm2xpHd4UDyh32JH",
"proofs": [
"jaseUp8AQS5itHX7PKQas4rwZwQMJkTBbQng6rfXKp5NW3YRewkUNM9f6kmny4jzKZFMpRswuNNgbWT18fJ4faf"
],
"dApp": "3N1WjhmF3EyutvrvtsfsSLbhmiLU8Bc1Toy",
"payment": [],
"call": {
"function": "finalizeDORA2",
"args": [
{
"type": "string",
"value": "WAVES-DORA2:1:2709199"
},
{
"type": "string",
"value": "XRP-USDT:634000:1:DOGE-USDT:75900:1:DOT-USDT:5037000:1:TRX-USDT:77550:1"
},
{
"type": "binary",
"value": "base64:fOsrM98QP41VC4eHUN0EuMw8CiYPSrTUQOL9jYg/VK3YhCD61fnlzcZXqWx8xMxAPMXhrlu8gRsKoHKfdDnmDQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA="
},
{
"type": "binary",
"value": "base64:jy9gK7IyK9Y80TylydsxrbtLvEKrVZxO4QhVuCYOanXR1RevPHD/RKEAOXe/5Wlxjgd88faZrN0yzK/j4vfdBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA="
},
{
"type": "binary",
"value": "base64:TXZkYpCxu41A1Wn6vOSbh3oMjNEJvDktW0Pike6rMdawQHYENOcMwCjjom1yjtKpwc/OaL5yp2zfvNL+giXlAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA="
},
{
"type": "binary",
"value": "base64:EJlCshRCmzo6Ys/eS+fNmWEgvzZKwziEnd8Atwpg+SmkeOecTXW29qaoyH4yP5cjCE2JrnDgXy7T67X/C0i0AgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA="
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "YJX71c3uRpGyxpjZbHgP3qVh8EiLoy9bz2krXVLvQbw",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1691954390183,
"version": 1,
"sender": "3NCUKAFDsto71gnSck6XiN9a6Gzz3Citk65",
"senderPublicKey": "oAyXTQzZy4edk6DeVxvaJd78F97qm2xpHd4UDyh32JH",
"proofs": [
"3wZV96aAVWyeeFNEtLhysbtNyQSKKnNnx4uuwRX1ejZ8nqscv8CqQg8n7w3MPySKG3mQkzdQ9vbw1HUoZc4kdCed"
],
"dApp": "3N1WjhmF3EyutvrvtsfsSLbhmiLU8Bc1Toy",
"payment": [],
"call": {
"function": "finalizeDORA2",
"args": [
{
"type": "string",
"value": "WAVES-DORA2:0:2709199"
},
{
"type": "string",
"value": "WAVES-USDT:1921000:1:BTC-USDT:29434980000:1:ETH-USDT:1856780000:1:BNB-USDT:241400000:1"
},
{
"type": "binary",
"value": "base64:3trRXpgf2WNQlstTZ6XHf5suftCGdU0fjG+fFRiOCUtiF9qJtvAGoTsnVRq7HMNezxax4l8C2yBwdgM8BNqRDgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA="
},
{
"type": "binary",
"value": "base64:4yybqaE+XUP+DGr6YrlrqPgeix7FH4z7k8JHl3y71ILKi7QbhIb++35bsEMA+qBv4jsD1sfh7BLUsZSaMudBDwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA="
},
{
"type": "binary",
"value": "base64:r5rkFeWi4XWqp4wB35WLSaVFFBshYBVNRawSCP+uLwZhGWQHmbVu0UHV8B00RoD51bTWTY9w1dwOax4qIKTDBwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA="
},
{
"type": "binary",
"value": "base64:b4hUNkPMHgDGCoJb0fuWNUGi9uMUOy2RkFeKQ/0HF5Z7RZ/a/PMDNTcVkusgzVqFdovNx4unNpRZHXWoVO7MBwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA="
}
]
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "5LPJfgDhRQXuDLuExYWF8pCiEpXPS9DywTdRBxm2yjTh",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1691954395325,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"31LzbnAciyFxr3MXBj5abSuz9Y5hDXXJ7nxeiPk5VR5un8dkiZVL4JxCSCWq94Gw4T36ou5aes9z56PHS4HknAN9"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "finalizeVoting",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "4fQP4UvoPs7zmCak59PoFsM7seZPxkV9Ho8rBLhUMMKs",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1691954395350,
"version": 2,
"chainId": 84,
"sender": "3MrD3wC4Yds6JgyGthbzArnJDxcSgUCLCvB",
"senderPublicKey": "J5m6H7xXXwMv5HCXAPBPr71SoChHv7cbrqp7bdnKC9P3",
"proofs": [
"46wassFG85j5NH9EdZW5bbHtHuxfhmYHn5koXC65bJhdhVJTKpVqZ9adhbLSum6N3QCSS3nRTeAjbvXYALGtoMrT"
],
"dApp": "3N9yMmmL5cJ7LJxr8o6GFbKFUbGz4XcAjeg",
"payment": [],
"call": {
"function": "finalizeVoting",
"args": []
},
"applicationStatus": "succeeded"
},
{
"type": 16,
"id": "7SeU3Dv7jk4XB8GYwtr4NoRo4KobZXjbzcbVhZ1LJP9Y",
"fee": 500000,
"feeAssetId": null,
"timestamp": 1691954399205,
"version": 2,
"chainId": 84,
"sender": "3N9ttyLcRwDo7L4EmJkbS3ZFuQJygivupsL",
"senderPublicKey": "92ovWCy1Zf8CSsTLLLssC74m8yn5yPMqVp9fmVacou97",
"proofs": [
"H98cigVVpaB8NS54jmR4iXh98CCS2SJZ42gpuNMCZssJBYFPTL7r8thwwCgkkk68tft4UGVnnsRsAVWYvVT98VG"
],
"dApp": "3N9tKixzqTYWnEXQxrDQ5pBTGvQd6sFsvmV",
"payment": [],
"call": {
"function": "commitTask",
"args": [
{
"type": "string",
"value": "BfbbX6zy1o8vngskiJVfSRUDssFyapL2aEmK6iQnQVyx_D2Eu5TQSVkAwDi7WKia7vFRkw5diyFYkCRhRzsVDmjQp"
},
{
"type": "string",
"value": " Linear programming (LP) is a mathematical optimization technique used to determine the best outcome from a set of available resources. It involves maximizing or minimizing a linear objective function subject to linear equality and inequality constraints. LP problems are often used in decision-making, production planning, transportation scheduling, and resource allocation. The goal of LP is to find the optimal solution that satisfies all the constraints while meeting the objective function."
}
]
},
"applicationStatus": "succeeded"
}
]
}
