demostration.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f6d77ad4-aec0-4dfe-9b56-c906205d363e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initializing Ocean Config ...\n",
      "Ocean Initialization done.\n"
     ]
    }
   ],
   "source": [
    "from jupyterOcean import JupyterFrontEnd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e2a02e92-401b-4bbb-8360-660aacd54579",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "app = JupyterFrontEnd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5723d012-7771-450c-b3a6-2830d502a545",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vitual Wallet Address = '0x62e6967B507dea1ad88a3E013ac39A0Ca34265Da'\n",
      "Vitual Wallet OCEAN = 15000000000000000000\n",
      "Vitual Wallet ETH = 10000000000000000\n"
     ]
    }
   ],
   "source": [
    "app.ocean.check_wallet()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "45982100-ba59-4246-81ef-edfa4643a716",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Publishing algorithm asset on Ocean Market ...\n",
      "==============================================\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_encryptor:Asset urls encrypted successfully, encrypted urls str: 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, encryptedEndpoint https://v4.provider.mumbai.oceanprotocol.com/api/services/encrypt?chainId=80001\n",
      "INFO:ocean_lib.data_provider.data_encryptor:Asset urls encrypted successfully, encrypted urls str: 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, encryptedEndpoint https://v4.provider.mumbai.oceanprotocol.com/api/services/encrypt?chainId=80001\n",
      "INFO:ocean_lib.data_provider.data_encryptor:Asset urls encrypted successfully, encrypted urls str: 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, encryptedEndpoint https://v4.provider.mumbai.oceanprotocol.com/api/services/encrypt?chainId=80001\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ALGO_data_nft address = '0x3e42485e27259D590b9Edd17c27D38Be25A5F896'\n",
      "ALGO_datatoken address = '0x0Bf5E4c21e8167B3D7715386c6E35C5d77d4675b'\n",
      " \n",
      "============================================================\n",
      "Publish finished! Here is the decentralized identifier(DID):\n",
      "did:op:d0d99d4d03061970cfd8e0280e0491662a7f8f8f0703b6270d3ef4986aef6437\n",
      "============================================================\n"
     ]
    }
   ],
   "source": [
    "app.ocean.algo_publish('gpr-test', 'QmXsvpGFJmkogHJAzHJFoxhcgzMXrkvsFRpywLuAhMmVQA')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "807cc3aa-857b-41e4-9af5-57c967dbc768",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7bbe31ae-3ec5-4258-be52-b1c0c367a8cf",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean:Search for DDOs matching query: {'query': {'query_string': {'query': '0x62e6967B507dea1ad88a3E013ac39A0Ca34265Da', 'default_operator': 'AND', 'fields': ['nft.owner']}}}\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "============================== Asset 1 | algorithm | ==============================\n",
      " \n",
      "Name -- Algo-2023-10-27-21:20\n",
      "DID  -- did:op:d0d99d4d03061970cfd8e0280e0491662a7f8f8f0703b6270d3ef4986aef6437\n",
      "Description -- Algo-2023-10-27-21:20\n",
      " \n",
      "---------------------------------------------------------------------------------\n",
      " \n"
     ]
    }
   ],
   "source": [
    "app.ocean.my_profile()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "96fe9f1f-e44f-4888-bf0a-a2094fe9038d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e1112c7e-3c08-41ac-9433-8331a65d83c4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean:Search for DDOs matching query: {'query': {'query_string': {'query': '*house*', 'default_operator': 'AND', 'fields': ['metadata.name']}}}\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "============================== Asset 1 | dataset | ==============================\n",
      " \n",
      "Name -- HOUSE PRICE PREDICTION - SEATTLE\n",
      "DID  -- did:op:70b687c40170cdf47c11e76478b7440c02633a786fc413071542cb23cdc9c96d\n",
      "Tags -- ['real-estate', 'state', 'residential-data', 'us']\n",
      "Description -- This is a real dataset of house prices sold in Seattle, Washing, USA between August and December 2022. The task is to predict the house price in this area based on several features, which are described below.\n",
      "\n",
      "Feature\tDescription\n",
      "beds\t       Number of bedrooms in property\n",
      "baths\t        Number of bathrooms in property. Note 0.5 corresponds to a half-bath which has a sink and toilet but no tub or shower\n",
      "size\t         Total floor area of property\n",
      "size_units\t  Units of the previous measurement\n",
      "lot_size\t  Total area of the land where the property is located on. The lot belongs to the house owner\n",
      "lot_size_units Units of the previous measurement\n",
      "zip_code\t      Zip code. This is a postal code used in the USA\n",
      "price\t              Price the property was sold for (US dollars)\n",
      "Useful fact:\n",
      "\n",
      "1 acre = 43560 sqft\n",
      " \n",
      "---------------------------------------------------------------------------------\n",
      " \n"
     ]
    }
   ],
   "source": [
    "app.ocean.search_asset('house', 'us')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "23efdf01-f2cb-43f8-8512-32ddbef8d16c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b85105e2-5261-4452-a1f8-718711c7c8d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing Transaction\n",
      "Wallet OCEAN = 15000000000000000000\n",
      "Wallet ETH = 10000000000000000\n",
      " \n",
      "Buying Algorithm Datatoken...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_service_provider:Service initialized successfully initializeEndpoint https://v4.provider.mumbai.oceanprotocol.com/api/services/initialize\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Already bought datatoken, named DT1.\n",
      "Downloading data asset...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.fileinfo_provider:Retrieved asset files successfully FileInfoEndpoint https://v4.provider.mumbai.oceanprotocol.com/api/services/fileinfo from did did:op:6847b190c42da10995164a535ef875ca8a30b84adfba430cd9f84893843c4663 with service id 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "signing message with nonce 2: did:op:6847b190c42da10995164a535ef875ca8a30b84adfba430cd9f84893843c4663, account=0xFFa63545ED137bdC949D1b7084134A5465A129aA\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.base:Saved downloaded file in ./ocean_download/datafile.did:op:6847b190c42da10995164a535ef875ca8a30b84adfba430cd9f84893843c4663,0/file0\n",
      "INFO:ocean_lib.data_provider.data_service_provider:DDO downloaded successfully downloadEndpoint https://v4.provider.mumbai.oceanprotocol.com/api/services/download\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./ocean_download/datafile.did:op:6847b190c42da10995164a535ef875ca8a30b84adfba430cd9f84893843c4663,0\n",
      "File downloaded at ./ocean_download/datafile.did:op:6847b190c42da10995164a535ef875ca8a30b84adfba430cd9f84893843c4663,0/Algo-2023-10-27-20:22.py\n",
      "Finished !!\n"
     ]
    }
   ],
   "source": [
    "app.ocean.buy_at_download('did:op:6847b190c42da10995164a535ef875ca8a30b84adfba430cd9f84893843c4663')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "894522c6-525c-42c5-bb50-868f44a8cb5f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "00f1028f-bbd4-44a5-a495-8bd22a2b738f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Buying datatoken .....\n",
      "======================\n",
      "Already bought datatoken ==> DT1.\n",
      " \n",
      "Buying algorithm token .....\n",
      "============================\n",
      "Already bought algorithm token ==> DT1.\n",
      " \n",
      "Finished buy DT.\n",
      " \n",
      "Paying for compute service ...\n",
      "==============================\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_service_provider:Service initialized successfully initializeComputeEndpoint https://v4.provider.mumbai.oceanprotocol.com/api/services/initializeCompute\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is dataset ==> [<ocean_lib.models.compute_input.ComputeInput object at 0x7fd208f44880>]\n",
      "This is algo ==><ocean_lib.models.compute_input.ComputeInput object at 0x7fd208f44850>\n",
      " \n",
      "Starting the compute job ...\n",
      "============================\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_service_provider:invoke start compute endpoint with this url: {'dataset': {'documentId': 'did:op:030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da', 'serviceId': '1', 'transferTxId': '0x2c94c7aceb75f318bb49076e91f856fbdb1cd608adcc1eb49c1a4f236b929f72'}, 'environment': 'c2d-op-engine-dev', 'algorithm': {'documentId': 'did:op:b8471c8de1c043cc7018b92e74ff06989b278bc814cfad61265ec9d7fc028f3d', 'serviceId': '1', 'transferTxId': '0xb62e461c00bbc241a197c355fda6367cc670f9edc9116daf9c5242ff39ac43d7'}, 'signature': '0xb959555e3a198364cac69698099fa37fc35596eaf335dba3d6a6a32c5fa00cc6135b9b11d9e36f77655e3671a051525c57a301ac77bf527acab7d9dfbe7a9e9d01', 'nonce': '1698411934563.991', 'consumerAddress': '0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3', 'additionalInputs': []}\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "signing message with nonce 1698411934563.991: 0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3did:op:030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da, account=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n",
      "===========================================================================================\n",
      "Your job started successfully! Started compute job with id: 4893459b9df0462daf12e3a246356bad\n",
      "===========================================================================================\n",
      " \n",
      "Runing the compute job, this might take a while..., checking status every 20 sec.\n",
      "--- Checking running status for 1 time ---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_service_provider:invoke compute endpoint with this url: https://v4.provider.mumbai.oceanprotocol.com/api/services/compute?consumerAddress=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3&documentId=did%3Aop%3A030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da&jobId=4893459b9df0462daf12e3a246356bad&nonce=1698411942638.134&signature=0xa1164775b994e6e8de3ecd89f3a8e8ad581035540b04c47a23bf09a6be58b84927003db5907d15948d79b56e3979b4bf587558c6c0614285bb413afe77de27df00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "signing message with nonce 1698411942638.134: 0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC34893459b9df0462daf12e3a246356baddid:op:030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da, account=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n",
      " \n",
      "C2D Still running, waiting for next check ...\n",
      " \n",
      "--- Checking running status for 2 time ---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_service_provider:invoke compute endpoint with this url: https://v4.provider.mumbai.oceanprotocol.com/api/services/compute?consumerAddress=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3&documentId=did%3Aop%3A030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da&jobId=4893459b9df0462daf12e3a246356bad&nonce=1698411971146.444&signature=0x631f89194502e414ee7653289b14173e3cb3274c071768bbaa09d1c68663c3052bfa44a51289f8d5aae142ab6b1fa180c5a66b719ef32cf373be969142c87c2901\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "signing message with nonce 1698411971146.444: 0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC34893459b9df0462daf12e3a246356baddid:op:030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da, account=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n",
      " \n",
      "C2D Still running, waiting for next check ...\n",
      " \n",
      "--- Checking running status for 3 time ---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_service_provider:invoke compute endpoint with this url: https://v4.provider.mumbai.oceanprotocol.com/api/services/compute?consumerAddress=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3&documentId=did%3Aop%3A030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da&jobId=4893459b9df0462daf12e3a246356bad&nonce=1698412000023.0352&signature=0x3e4555ad5f1f0886e33c70ea708fe6613a32fc2f51c9b4c20b6686e8cbb887e647eaffc7adcb1317825a886ba3442c3444eae82394882e02aa2f261db74a2a7b00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "signing message with nonce 1698412000023.0352: 0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC34893459b9df0462daf12e3a246356baddid:op:030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da, account=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n",
      " \n",
      "C2D Still running, waiting for next check ...\n",
      " \n",
      "--- Checking running status for 4 time ---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_service_provider:invoke compute endpoint with this url: https://v4.provider.mumbai.oceanprotocol.com/api/services/compute?consumerAddress=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3&documentId=did%3Aop%3A030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da&jobId=4893459b9df0462daf12e3a246356bad&nonce=1698412027524.935&signature=0x7f6a47b8bb53c3e12704a1b92a17a40a93f63bf2ecbbc8a575ddf86579ec2e2c0ce5cbab0c100519814d7d843b61283024259be1bd52b0faa2498d5fa95ed42d00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "signing message with nonce 1698412027524.935: 0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC34893459b9df0462daf12e3a246356baddid:op:030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da, account=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n",
      " \n",
      "C2D Still running, waiting for next check ...\n",
      " \n",
      "--- Checking running status for 5 time ---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_service_provider:invoke compute endpoint with this url: https://v4.provider.mumbai.oceanprotocol.com/api/services/compute?consumerAddress=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3&documentId=did%3Aop%3A030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da&jobId=4893459b9df0462daf12e3a246356bad&nonce=1698412057731.4128&signature=0x85cb6dd768fa89218ec90fcac01034dead1d96d8fcbb660b17225c26afaa98ed3d9cf60aba0688896882757626d4b1875c829b23081501053987a8d4f0865b5500\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "signing message with nonce 1698412057731.4128: 0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC34893459b9df0462daf12e3a246356baddid:op:030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da, account=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n",
      " \n",
      "C2D Still running, waiting for next check ...\n",
      " \n",
      "--- Checking running status for 6 time ---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_service_provider:invoke compute endpoint with this url: https://v4.provider.mumbai.oceanprotocol.com/api/services/compute?consumerAddress=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3&documentId=did%3Aop%3A030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da&jobId=4893459b9df0462daf12e3a246356bad&nonce=1698412087737.866&signature=0x521c6e3584361eb39c519c0f8ede16f21a74888c0ca555c89e118e2a019fbc457944b34b87366b27c23c86d93e434bce11be171b48d81f4184face418a46ff7d01\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "signing message with nonce 1698412087737.866: 0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC34893459b9df0462daf12e3a246356baddid:op:030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da, account=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n",
      " \n",
      "=====================\n",
      "Done! C2D successful.\n",
      "=====================\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_service_provider:invoke compute endpoint with this url: https://v4.provider.mumbai.oceanprotocol.com/api/services/compute?consumerAddress=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3&documentId=did%3Aop%3A030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da&jobId=4893459b9df0462daf12e3a246356bad&nonce=1698412090089.416&signature=0x947bdc3fe8e2c63d785d587e50a418b2ed885cf80fa6c6ced52f542d6c1bddae324f1cc9066d48b955de6f9b84808df374aca7022546431e9e5d33c362fb5e2e00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "signing message with nonce 1698412090089.416: 0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC34893459b9df0462daf12e3a246356baddid:op:030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da, account=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n",
      "signing message with nonce 1698412090702.996: 0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC34893459b9df0462daf12e3a246356bad0, account=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_service_provider:invoke the computeResult endpoint with this url: https://v4.provider.mumbai.oceanprotocol.com/api/services/computeResult?signature=0xf25d4eaab2433e778c7fabd23c8bd15ace181b378d0a021f8e7fe62d81d3f0247d0be960a9ff519d31ac9033ca0a2ce09669fec42c95dcb063fccf85db64a7c701&nonce=1698412090702.996&jobId=4893459b9df0462daf12e3a246356bad&index=0&consumerAddress=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "signing message with nonce 1698412093724.3792: 0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC34893459b9df0462daf12e3a246356bad1, account=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_service_provider:invoke the computeResult endpoint with this url: https://v4.provider.mumbai.oceanprotocol.com/api/services/computeResult?signature=0x0510e27e825c4cc548dbafcfad2df2262519d87b350ebdffabe603e81ad83fe0258f5a2f473c0ce766f158d2b732d5af603e677c7643089ceac89c2c644a5a9e00&nonce=1698412093724.3792&jobId=4893459b9df0462daf12e3a246356bad&index=1&consumerAddress=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "signing message with nonce 1698412096438.791: 0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC34893459b9df0462daf12e3a246356bad2, account=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_service_provider:invoke the computeResult endpoint with this url: https://v4.provider.mumbai.oceanprotocol.com/api/services/computeResult?signature=0x9dfb8ae98e8f58287ee539198ebdaa9e3136dfd6f6c8a8ed8496fc1f5792a3252e007d186df1b228053b04c7592f7aa4b1f23bf9ad4b1d58af5caad104f607a301&nonce=1698412096438.791&jobId=4893459b9df0462daf12e3a246356bad&index=2&consumerAddress=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "signing message with nonce 1698412101867.121: 0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC34893459b9df0462daf12e3a246356bad3, account=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:ocean_lib.data_provider.data_service_provider:invoke the computeResult endpoint with this url: https://v4.provider.mumbai.oceanprotocol.com/api/services/computeResult?signature=0xdf11eb2c98f40b2ed3250ca015a76a8cc953d29ad511f0ddb61dac11029524f75e0e18f65170f22ca76f02fdbb1955e2c97a6cefba4e5e4e8a691ce797f49c0001&nonce=1698412101867.121&jobId=4893459b9df0462daf12e3a246356bad&index=3&consumerAddress=0xd0Ca75fbD9456fF1ce06701D5001811FC4dA6DC3\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " \n",
      "Requesting the compute result ...\n",
      "=================================\n",
      "<class 'bytes'>\n",
      "b'\\x80\\x03cnumpy.core.multiarray\\n_reconstruct\\nq\\x00cnumpy\\nndarray\\nq\\x01K\\x00\\x85q\\x02C\\x01bq\\x03\\x87q\\x04Rq\\x05(K\\x01K\\x0fK\\x0f\\x86q\\x06cnumpy\\ndtype\\nq\\x07X\\x02\\x00\\x00\\x00f8q\\x08\\x89\\x88\\x87q\\tRq\\n(K\\x03X\\x01\\x00\\x00\\x00<q\\x0bNNNJ\\xff\\xff\\xff\\xffJ\\xff\\xff\\xff\\xffK\\x00tq\\x0cb\\x89B\\x08\\x07\\x00\\x00\\x87\\x87!\\xcb\\x10Bs@\\xb6\\xb75\\xa2\\xb4\\xc5i@\\x92Y\\xa7\\xd8_\\xec`@\\x9c\\xfcU\\x9f\\xabeW@\\xe8\\x89\\x01_\\x98HQ@\\x93\\x10\\xc6\\x98\\xbbVH@\\x03\\xc3\\x1b\\xb9\\xfcG;@wP\\x9e\\x11\\xa5\\x9d$@\\xc8\\xd9]\\xeeZ\\x82\\x14@\\xe4\\xed\\xf3(\\\\\\x8f&@\\xe4\\x10\\xe6\\xe26Z3@q\\xd2\\xb2\\x15\\xfb\\xbb3@\\xd46\\x1dS\\x05C(@T[\\xafg\\xb3\\xaa\\x17@~\\x8b\\xa7\\x15\\xfb\\xeb%@8Cx\\xe9&\\x07q@;\\x87(~\\x8c\\x19f@@\\xe8\\xbd\\x9f\\x1a\\xeb[@r\\xe8\\x93\\x18\\x04\\xbaR@\\x8f\\xe4\\xb8\\xfc\\x87lK@P\\xeb\\x87\\x85Z\\x13C@\\xbe,\\x96\\xb2\\x0c\\xe13@nu\\xa2<,\\x94\\x15@\\x19\\xa1\\xe2\\x02\\t\\x8a\\x00@w\\xafTR\\'\\xe0\"@5\\x98z\\x14\\xae\\x172@\\xfcv6\\x1a\\xc0k2@\\x1a(\\xf5\\xdb\\xd7A$@\\x00\\xf5\\xc1}\\x1d\\xb8\\x04@\\x9cKx\\xd7\\x12\\xb2\\x16@\\xb6e\\xce\\x12\\xf2\\xe1m@\\xb8\\x16\\x1c/\\xdd\\xb6b@\\xcd\\x90\\x168g\\x90V@\\t\\xb5\\x9bw\\x9cBM@\\xe2\\xa7\\x9d\\x01\\xbcmE@\\xd3`\\x0bq\\xac\\xeb=@\\xdd\\xc4\\xe7\\xa7\\xc6\\x8b-@\\xbcC\\x8d\\xebQ8\\x06@\\x96v\\xdf\\xd0\"\\xdb\\xf4?C\\xf8\\x90\\xcb\\x7f\\xc8#@\"\\x93\\x85\\xd2\\xde 3@`\\xd9\\xa5\\xc6Kg3@\"\\x15,\\x99*\\xd8$@(\\xc5{ A\\xf1\\xf8?\\x98\\x8a^F\\x94v\\x05@\\x14\\xdb\\xb7\\'\\x0f\\xffi@\\xbd\\x95\\xa9\\xc6K;_@\\xa3\\x1d\\x08\\xd7\\xa3\\xc8Q@f\\xcd*\\xcb\\x107F@\\x03\\xef\\x83Z\\xd3\\x94@@p/\\xfa~j\\xfc7@\\xb8\\x84\\x1f\\x1f\\xf4\\xec\\'@\\xd8V\\xc5\\xc1\\x17\\xa6\\x03@\\xac\"\\xfa1\\xe6\\xae\\x06@\\xae\\xe5<yXH)@\\xbd\\xa1\\x848\\xd6u6@\\xedRN\\x8d\\x97\\xae6@\\x1e4\\xd9\\x8a\\xfd\\x05*@\\x90\\x1f\\x1e\\xe2X\\x97\\x06@\\xa2\\xd9v_\\x07\\xce\\xff?\\xd4\")n\\xa3ef@\\xe3\\xac\\xaa5\\xcd\\x9bY@\\xe1\\xaa\\x01\\xf9\\xa0\\'K@\\x00\\xb8\\xb1rhQ@@\\xfa\\xb7\\xff\\x80\\x95\\xc39@\\xd2n\\x1d\\xa7\\xe8X4@\\xac\\xdb\\xbb\\xca\\xa1\\xe5&@G&\\xbck\\t\\xb9\\x11@\\x92\\x9e{\\x1d8\\xa7\\x1a@.a\\xaa\\xad\\xd8\\xaf1@\\xb4\\xce\\xfe*\\x87\\x16<@\\x84Xs\\xe0\\x9cA<@j\\x12wX\\xa8\\xe51@\\x0c:\\xe1\\x02\\t\\x8a\\x19@\\xa54\\xa9\\xeas\\xb5\\x0c@\\x93\\xd0\\x9c\\x89\\xb0\\x15c@x\\x86\\xa6N@\\x8fT@A\\xce\\x15Q\\xda\\xe3C@\\x04<\\xef\\xc09#7@n\\xd14gD\\xa94@\\xb2\\xd2x\\xe9&\\x013@\\t\\xe6\\xca\\xaa\\xcfu*@\\xd0\\xa9\\xb8\\xaf\\x03g!@\\xd0\\x19l\\xc5\\xfe\\x92)@\\xf6\\xa9\\xed8E\\x079@D~\\x91\\xa9\\x82\\x01B@\\x0bq\\xc4m4\\x10B@1\\xb9r\\x93\\x18\\x149@\\x05\\x9d\\xc5\\xfe\\xb2{(@S\\xd5\\xb0{\\xf2\\xf0\\x1d@\\x96\\xc3T\\xa85\\x0f`@E\\x8c\\xc2\\xca\\xa1\\x15P@\\xbc\\xde:\\xfa\\xed\\x8b;@:\\xed\\xd4\\x88\\xd2\\xde/@b\\xb7\\x9cg\\xb3\\xda1@\\x18\\xe7\\tF%\\xf53@~\\x9fZm\\xc5N1@\\x9a\\xdd\\xff\\xdd\\x02\\x89.@\\xae\\x17C\\xd8\\xf045@\\\\\\xd6\\x0f6<UA@B\\xcf\\xe1\\x83\\x9e\\x1dG@\\xb3xF\\xbf}%G@Adu-!GA@\\xa6.\\xfde\\xf7d4@\\xdd\\xcb\\xe0\\xd0\"[+@\\xcb\\xf5\\xa9\\x94e\\xa4Z@\\xb3$\\xb4\\xe1\\xe9]H@\\xd4\\xd7\\xcc\\xde\\xe0\\x9b1@ /9\\xc4\\xb1\\x0e&@n\\x88\\xf6\\x0f\\xe9W1@\\xf8\\xaf\\xd2\\xbc\\xe347@B\\xfb\\x87\\x1fc\\xae7@v\\xb8\\x13\\xaeG!8@U\\x9f\\xc0\\xf5(\\xec?@,\\xbb\\xc4\\xdc\\xb5LG@|JNk\\x9a_M@^\\x1a\\x08\\xd7\\xa3`M@F\\xf3)e\\x19*G@\\x8e\\xc3\\x15\\xd9\\xce\\xd7>@\\xb0\\x89t\\xbe\\x9f*6@CU6\\xdfO\\xbdU@\\xfc\\x1c\\xff:p\\xb6A@\\x8b\\xab\\x96\\xd64\\xef#@\\xe3L\\n4\\x11\\xd6 @\\xe2T\\xccD\\xd8 3@P\\xa6\\x89\\xdbh\\xc0<@\\x06\\xcd\\x18/\\xdd,@@\\xe2\\x14\\xd2\\xbc\\xe3\\xa4A@\\xf97\\xddO\\x8dwF@\\x84\\x1c\\x94\\x90\\x0fjN@\\xcb\\xa6X\\xd3\\xbccR@\\xf1G`\\xa1\\xd6`R@~\\x99\\xf8\\xa9\\xf12N@1\\xa8\\x0ez6\\xcbE@\\xd7\\x822^\\xbay@@\\xc0\\x91\\xbf\\xd3+iQ@\\x1b\\'\\xcaB\\xadi8@\\x06A\\tHP|\\x12@\\x00\\x15J\\xd8\\xf04 @\\xba\\xa5\\x93!\\x8e57@\\xe4\\xa8<\\n\\xd7KB@h\\xf0Bio\\xa8E@\\x1c5\\x93\\xf6\\x06_H@\\x81F\\xd3x\\xe9\\x1eN@\\xb9.\\xc0\\xa8\\xa4VS@\\xc6\\x9b*\\xd4\\x9a\\xaaV@\\x14\\xc8\\\\\\xbaI\\xa4V@\\xdfK\\xf2\\xfd\\xd40S@\\x84x\\xae\\x94ePM@\\xb5WH\\xea\\x04\\x04G@\\xb6\\xfb\\xceV\\xecOK@\\xed\\xac\\x9bStd/@\\x80:\\xe7.\\xdd$\\xf9?a?\\xf5\\xb0P+$@\\xc6\\xb2\\x8e\\x18\\x04\\x96=@F+\\xce\\xb3Y]G@\\xe0\\xfd\\xa9i\\xdeIL@\\xc9\\xcb\\xb6\\x1e\\x85\\x1fP@2\\x15q\\xd7\\x12vS@t\\xa8\\xc2\\x8f1\\x0bX@\\xdb\\xc1\\xf6~j\\x84[@k\\xd0S}\\xaez[@\\xcea\\xe2\\xd0\"\\xdbW@\\x0cC4^\\xba\\xfdR@\\xe9tu\\x83/\\xb4N@}\\xed\\x17Zd\\xf3D@K\\xfe\\rV\\x0e\\x8d\"@\\x8e\\x9eZ\\xc2\\xf5(\\xea?/\\x1c\\x83\\xd9=\\xb9,@N\\x9b\\xe2\\x14\\x1d!C@\\xcc\\xfa}j\\xbc\\x94M@\\xb6\\xfc\\x97\\xbb\\x96\\x08R@X\\x86\\xb3\\xc8v\\xa2T@~k\\x08\\xf9\\xa0oX@=*U}\\xaeR]@\\x1f\\xbf)\\x18\\x95x`@\\xf3\\x88$u\\x02r`@\\x04\\x06\\xf5\\x06_\\x18]@\\xa5\\x0c\\xa0\\xf81\\xe6W@/\\x95P\\xb8\\x1e\\xc5S@\\x96t\\xf4\\xd4xy?@r\\xab\\xc7Pk\\x9a\\x14@\\x8b\\x89\"\\x89A\\xe0\\x02@t\\xee;\\x9bU\\xef4@\\xcc{qq\\x1b\\x9dH@H\\xff!\\x97\\xffxR@J\\xb4S\\xec/\\x7fV@\\xee\\xa8:yX\\xb8Y@\\xc0\\x87)!\\x1f\\xfc]@\\xb1\\xb2o\\x8a\\x8e\\x96a@\\xe8z\\xd3\\xc5mxc@Q\\xd8,\\xdd$pc@\\x84\\x0c\\x7fsFta@v\\xdb\\x05=\\x9ba]@0\\xc6\\xff\\x11\\x14\\xc3X@@,\\xae\\x9d\\xefW7@\\xbc^\\x7f\\xbct\\x93\\n@\\x9b*\\xc09#\\xca\\x18@n\\xc3\\xf2c\\xcc\\xcd=@\\xebWF\\x94\\xf6>O@\\x9eR\\x05\\xa3\\x92\\xbaV@\\x89\\x80\\xa2#\\xb9\\x88[@\\xfdQ\\xc3\\xd3+a_@K\\x88\\xef\\xa7\\xc6\\rb@\"<\\x7f\\xd9=\\xcdd@5c\\x11\\xa5\\xbd\\xc1f@\\x89\\x94\\x7fH\\xbf\\xb7f@\\xf0\\x17\\xcff\\xd5\\xa5d@\\xb96Gr\\xf9\\xb7a@\\xd0X\\xb5\\x15\\xfbS^@\\x07l\\xdc\\xf2\\x1f\\x821@|\\rW\\xa9\\x13P\\x0e@\\xce\\xe6g\\xf0\\x85\\xa9(@^\\x84k\\xa3\\x01|D@\\xa8\\xbd\\x83\\x85Z\\x83S@\\xa4\\xdb\\x00\\x12\\x14\\x8f[@\\xec\\x10\\xbb0\\x99\\x92`@e\\x1a\\xb1\\xc8v\\xceb@H\\xb4B\\x94\\xf6fe@\\x80\\xbf\\xcf+eMh@K\\xf8EY\\x86Tj@Yb\\xca\\x88\\xd2Hj@\\xb0O^]\\xdc h@K\\xca\\x06\\x1b\\x9e\\x08e@\\xbf\\xa1\\xf3\\x0f\\xe9;b@q\\rtq\\x0eb.'\n",
      " \n",
      "Compute job log ==> b'\\x80\\x03cnumpy.core.multiarray\\n_reconstruct\\nq\\x00cnumpy\\nndarray\\nq\\x01K\\x00\\x85q\\x02C\\x01bq\\x03\\x87q\\x04Rq\\x05(K\\x01K\\x0fK\\x0f\\x86q\\x06cnumpy\\ndtype\\nq\\x07X\\x02\\x00\\x00\\x00f8q\\x08\\x89\\x88\\x87q\\tRq\\n(K\\x03X\\x01\\x00\\x00\\x00<q\\x0bNNNJ\\xff\\xff\\xff\\xffJ\\xff\\xff\\xff\\xffK\\x00tq\\x0cb\\x89B\\x08\\x07\\x00\\x00\\x87\\x87!\\xcb\\x10Bs@\\xb6\\xb75\\xa2\\xb4\\xc5i@\\x92Y\\xa7\\xd8_\\xec`@\\x9c\\xfcU\\x9f\\xabeW@\\xe8\\x89\\x01_\\x98HQ@\\x93\\x10\\xc6\\x98\\xbbVH@\\x03\\xc3\\x1b\\xb9\\xfcG;@wP\\x9e\\x11\\xa5\\x9d$@\\xc8\\xd9]\\xeeZ\\x82\\x14@\\xe4\\xed\\xf3(\\\\\\x8f&@\\xe4\\x10\\xe6\\xe26Z3@q\\xd2\\xb2\\x15\\xfb\\xbb3@\\xd46\\x1dS\\x05C(@T[\\xafg\\xb3\\xaa\\x17@~\\x8b\\xa7\\x15\\xfb\\xeb%@8Cx\\xe9&\\x07q@;\\x87(~\\x8c\\x19f@@\\xe8\\xbd\\x9f\\x1a\\xeb[@r\\xe8\\x93\\x18\\x04\\xbaR@\\x8f\\xe4\\xb8\\xfc\\x87lK@P\\xeb\\x87\\x85Z\\x13C@\\xbe,\\x96\\xb2\\x0c\\xe13@nu\\xa2<,\\x94\\x15@\\x19\\xa1\\xe2\\x02\\t\\x8a\\x00@w\\xafTR\\'\\xe0\"@5\\x98z\\x14\\xae\\x172@\\xfcv6\\x1a\\xc0k2@\\x1a(\\xf5\\xdb\\xd7A$@\\x00\\xf5\\xc1}\\x1d\\xb8\\x04@\\x9cKx\\xd7\\x12\\xb2\\x16@\\xb6e\\xce\\x12\\xf2\\xe1m@\\xb8\\x16\\x1c/\\xdd\\xb6b@\\xcd\\x90\\x168g\\x90V@\\t\\xb5\\x9bw\\x9cBM@\\xe2\\xa7\\x9d\\x01\\xbcmE@\\xd3`\\x0bq\\xac\\xeb=@\\xdd\\xc4\\xe7\\xa7\\xc6\\x8b-@\\xbcC\\x8d\\xebQ8\\x06@\\x96v\\xdf\\xd0\"\\xdb\\xf4?C\\xf8\\x90\\xcb\\x7f\\xc8#@\"\\x93\\x85\\xd2\\xde 3@`\\xd9\\xa5\\xc6Kg3@\"\\x15,\\x99*\\xd8$@(\\xc5{ A\\xf1\\xf8?\\x98\\x8a^F\\x94v\\x05@\\x14\\xdb\\xb7\\'\\x0f\\xffi@\\xbd\\x95\\xa9\\xc6K;_@\\xa3\\x1d\\x08\\xd7\\xa3\\xc8Q@f\\xcd*\\xcb\\x107F@\\x03\\xef\\x83Z\\xd3\\x94@@p/\\xfa~j\\xfc7@\\xb8\\x84\\x1f\\x1f\\xf4\\xec\\'@\\xd8V\\xc5\\xc1\\x17\\xa6\\x03@\\xac\"\\xfa1\\xe6\\xae\\x06@\\xae\\xe5<yXH)@\\xbd\\xa1\\x848\\xd6u6@\\xedRN\\x8d\\x97\\xae6@\\x1e4\\xd9\\x8a\\xfd\\x05*@\\x90\\x1f\\x1e\\xe2X\\x97\\x06@\\xa2\\xd9v_\\x07\\xce\\xff?\\xd4\")n\\xa3ef@\\xe3\\xac\\xaa5\\xcd\\x9bY@\\xe1\\xaa\\x01\\xf9\\xa0\\'K@\\x00\\xb8\\xb1rhQ@@\\xfa\\xb7\\xff\\x80\\x95\\xc39@\\xd2n\\x1d\\xa7\\xe8X4@\\xac\\xdb\\xbb\\xca\\xa1\\xe5&@G&\\xbck\\t\\xb9\\x11@\\x92\\x9e{\\x1d8\\xa7\\x1a@.a\\xaa\\xad\\xd8\\xaf1@\\xb4\\xce\\xfe*\\x87\\x16<@\\x84Xs\\xe0\\x9cA<@j\\x12wX\\xa8\\xe51@\\x0c:\\xe1\\x02\\t\\x8a\\x19@\\xa54\\xa9\\xeas\\xb5\\x0c@\\x93\\xd0\\x9c\\x89\\xb0\\x15c@x\\x86\\xa6N@\\x8fT@A\\xce\\x15Q\\xda\\xe3C@\\x04<\\xef\\xc09#7@n\\xd14gD\\xa94@\\xb2\\xd2x\\xe9&\\x013@\\t\\xe6\\xca\\xaa\\xcfu*@\\xd0\\xa9\\xb8\\xaf\\x03g!@\\xd0\\x19l\\xc5\\xfe\\x92)@\\xf6\\xa9\\xed8E\\x079@D~\\x91\\xa9\\x82\\x01B@\\x0bq\\xc4m4\\x10B@1\\xb9r\\x93\\x18\\x149@\\x05\\x9d\\xc5\\xfe\\xb2{(@S\\xd5\\xb0{\\xf2\\xf0\\x1d@\\x96\\xc3T\\xa85\\x0f`@E\\x8c\\xc2\\xca\\xa1\\x15P@\\xbc\\xde:\\xfa\\xed\\x8b;@:\\xed\\xd4\\x88\\xd2\\xde/@b\\xb7\\x9cg\\xb3\\xda1@\\x18\\xe7\\tF%\\xf53@~\\x9fZm\\xc5N1@\\x9a\\xdd\\xff\\xdd\\x02\\x89.@\\xae\\x17C\\xd8\\xf045@\\\\\\xd6\\x0f6<UA@B\\xcf\\xe1\\x83\\x9e\\x1dG@\\xb3xF\\xbf}%G@Adu-!GA@\\xa6.\\xfde\\xf7d4@\\xdd\\xcb\\xe0\\xd0\"[+@\\xcb\\xf5\\xa9\\x94e\\xa4Z@\\xb3$\\xb4\\xe1\\xe9]H@\\xd4\\xd7\\xcc\\xde\\xe0\\x9b1@ /9\\xc4\\xb1\\x0e&@n\\x88\\xf6\\x0f\\xe9W1@\\xf8\\xaf\\xd2\\xbc\\xe347@B\\xfb\\x87\\x1fc\\xae7@v\\xb8\\x13\\xaeG!8@U\\x9f\\xc0\\xf5(\\xec?@,\\xbb\\xc4\\xdc\\xb5LG@|JNk\\x9a_M@^\\x1a\\x08\\xd7\\xa3`M@F\\xf3)e\\x19*G@\\x8e\\xc3\\x15\\xd9\\xce\\xd7>@\\xb0\\x89t\\xbe\\x9f*6@CU6\\xdfO\\xbdU@\\xfc\\x1c\\xff:p\\xb6A@\\x8b\\xab\\x96\\xd64\\xef#@\\xe3L\\n4\\x11\\xd6 @\\xe2T\\xccD\\xd8 3@P\\xa6\\x89\\xdbh\\xc0<@\\x06\\xcd\\x18/\\xdd,@@\\xe2\\x14\\xd2\\xbc\\xe3\\xa4A@\\xf97\\xddO\\x8dwF@\\x84\\x1c\\x94\\x90\\x0fjN@\\xcb\\xa6X\\xd3\\xbccR@\\xf1G`\\xa1\\xd6`R@~\\x99\\xf8\\xa9\\xf12N@1\\xa8\\x0ez6\\xcbE@\\xd7\\x822^\\xbay@@\\xc0\\x91\\xbf\\xd3+iQ@\\x1b\\'\\xcaB\\xadi8@\\x06A\\tHP|\\x12@\\x00\\x15J\\xd8\\xf04 @\\xba\\xa5\\x93!\\x8e57@\\xe4\\xa8<\\n\\xd7KB@h\\xf0Bio\\xa8E@\\x1c5\\x93\\xf6\\x06_H@\\x81F\\xd3x\\xe9\\x1eN@\\xb9.\\xc0\\xa8\\xa4VS@\\xc6\\x9b*\\xd4\\x9a\\xaaV@\\x14\\xc8\\\\\\xbaI\\xa4V@\\xdfK\\xf2\\xfd\\xd40S@\\x84x\\xae\\x94ePM@\\xb5WH\\xea\\x04\\x04G@\\xb6\\xfb\\xceV\\xecOK@\\xed\\xac\\x9bStd/@\\x80:\\xe7.\\xdd$\\xf9?a?\\xf5\\xb0P+$@\\xc6\\xb2\\x8e\\x18\\x04\\x96=@F+\\xce\\xb3Y]G@\\xe0\\xfd\\xa9i\\xdeIL@\\xc9\\xcb\\xb6\\x1e\\x85\\x1fP@2\\x15q\\xd7\\x12vS@t\\xa8\\xc2\\x8f1\\x0bX@\\xdb\\xc1\\xf6~j\\x84[@k\\xd0S}\\xaez[@\\xcea\\xe2\\xd0\"\\xdbW@\\x0cC4^\\xba\\xfdR@\\xe9tu\\x83/\\xb4N@}\\xed\\x17Zd\\xf3D@K\\xfe\\rV\\x0e\\x8d\"@\\x8e\\x9eZ\\xc2\\xf5(\\xea?/\\x1c\\x83\\xd9=\\xb9,@N\\x9b\\xe2\\x14\\x1d!C@\\xcc\\xfa}j\\xbc\\x94M@\\xb6\\xfc\\x97\\xbb\\x96\\x08R@X\\x86\\xb3\\xc8v\\xa2T@~k\\x08\\xf9\\xa0oX@=*U}\\xaeR]@\\x1f\\xbf)\\x18\\x95x`@\\xf3\\x88$u\\x02r`@\\x04\\x06\\xf5\\x06_\\x18]@\\xa5\\x0c\\xa0\\xf81\\xe6W@/\\x95P\\xb8\\x1e\\xc5S@\\x96t\\xf4\\xd4xy?@r\\xab\\xc7Pk\\x9a\\x14@\\x8b\\x89\"\\x89A\\xe0\\x02@t\\xee;\\x9bU\\xef4@\\xcc{qq\\x1b\\x9dH@H\\xff!\\x97\\xffxR@J\\xb4S\\xec/\\x7fV@\\xee\\xa8:yX\\xb8Y@\\xc0\\x87)!\\x1f\\xfc]@\\xb1\\xb2o\\x8a\\x8e\\x96a@\\xe8z\\xd3\\xc5mxc@Q\\xd8,\\xdd$pc@\\x84\\x0c\\x7fsFta@v\\xdb\\x05=\\x9ba]@0\\xc6\\xff\\x11\\x14\\xc3X@@,\\xae\\x9d\\xefW7@\\xbc^\\x7f\\xbct\\x93\\n@\\x9b*\\xc09#\\xca\\x18@n\\xc3\\xf2c\\xcc\\xcd=@\\xebWF\\x94\\xf6>O@\\x9eR\\x05\\xa3\\x92\\xbaV@\\x89\\x80\\xa2#\\xb9\\x88[@\\xfdQ\\xc3\\xd3+a_@K\\x88\\xef\\xa7\\xc6\\rb@\"<\\x7f\\xd9=\\xcdd@5c\\x11\\xa5\\xbd\\xc1f@\\x89\\x94\\x7fH\\xbf\\xb7f@\\xf0\\x17\\xcff\\xd5\\xa5d@\\xb96Gr\\xf9\\xb7a@\\xd0X\\xb5\\x15\\xfbS^@\\x07l\\xdc\\xf2\\x1f\\x821@|\\rW\\xa9\\x13P\\x0e@\\xce\\xe6g\\xf0\\x85\\xa9(@^\\x84k\\xa3\\x01|D@\\xa8\\xbd\\x83\\x85Z\\x83S@\\xa4\\xdb\\x00\\x12\\x14\\x8f[@\\xec\\x10\\xbb0\\x99\\x92`@e\\x1a\\xb1\\xc8v\\xceb@H\\xb4B\\x94\\xf6fe@\\x80\\xbf\\xcf+eMh@K\\xf8EY\\x86Tj@Yb\\xca\\x88\\xd2Hj@\\xb0O^]\\xdc h@K\\xca\\x06\\x1b\\x9e\\x08e@\\xbf\\xa1\\xf3\\x0f\\xe9;b@q\\rtq\\x0eb.'\n",
      "========================================\n",
      "Model is download at ./c2d_output/4893459b9df0462daf12e3a246356bad.pickle\n"
     ]
    }
   ],
   "source": [
    "\n",
    "## Run the compute job (C2D), we use the dataset brain.arff and the algorithm gpr.py on Ocean Market\n",
    "app.ocean.temp_c2d('did:op:030c288f377e627b9f230f3d2a0181efc8349eb32ee1436902e3714ff758e4da', 'did:op:b8471c8de1c043cc7018b92e74ff06989b278bc814cfad61265ec9d7fc028f3d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4ebbb7ca-9892-4309-a249-76af798e0626",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fe03bf84-03d0-450d-a54a-c30fcc97c4e2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[308.12909997 206.1783     135.38669999  93.5886      69.13429999\n",
      "   48.6776      27.2812      10.3079       5.1273      11.28\n",
      "   19.3524      19.7343      12.1309       5.9167      10.9609    ]\n",
      " [272.447      176.7984     111.6735      74.9065      54.8479\n",
      "   38.1512      19.8791       5.3947       2.0674       9.4378\n",
      "   18.0925      18.4209      10.1286       2.5899       5.6739    ]\n",
      " [239.06079998 149.7145      90.25629999  58.5204      42.8573\n",
      "   29.9206      14.773        2.7775       1.3035       9.8916\n",
      "   19.1284      19.4035      10.4222       1.5589       2.6829    ]\n",
      " [207.97059999 124.9265      71.135       44.4302      33.1627\n",
      "   23.986       11.9628       2.4561       2.8354      12.6413\n",
      "   22.4603      22.682       13.0117       2.8239       1.9878    ]\n",
      " [179.17619999 102.4344      54.3096      32.636       25.764\n",
      "   20.3473      11.4485       4.4307       6.6633      17.6869\n",
      "   28.088       28.2563      17.8971       6.3848       3.5886    ]\n",
      " [152.67779999  82.2383      39.7801      23.1376      20.6612\n",
      "   19.0045      13.2301       8.7012      12.7871      25.0284\n",
      "   36.0118      36.1266      25.0785      12.2416       7.4853    ]\n",
      " [128.47529999  64.338       27.5466      15.9352      17.8543\n",
      "   19.9576      17.3077      15.2676      21.2068      34.6659\n",
      "   46.2314      46.2929      34.5557      20.3944      13.678     ]\n",
      " [106.5687      48.7337      17.6089      11.0287      17.3434\n",
      "   23.2066      23.6812      24.13        31.9225      46.5993\n",
      "   58.7469      58.755       46.3289      30.843       22.1665    ]\n",
      " [ 86.958       35.4253       9.9672       8.4181      19.1283\n",
      "   28.7516      32.3505      35.2882      44.934       60.8286\n",
      "   73.5584      73.5131      60.398       43.5876      32.951     ]\n",
      " [ 69.6433      24.4128       4.6214       8.1034      23.2092\n",
      "   36.5925      43.3159      48.7424      60.2415      77.3538\n",
      "   90.6657      90.567       76.763       58.6281      46.0314    ]\n",
      " [ 54.6244      15.6962       1.5715      10.0846      29.586\n",
      "   46.7293      56.5771      64.4925      77.8449      96.1749\n",
      "  110.069      109.9169      95.424       75.9645      61.4077    ]\n",
      " [ 41.9015       9.2755       0.8175      14.3618      38.2587\n",
      "   59.162       72.1342      82.5385      97.7442     117.2919\n",
      "  131.7682     131.5628     116.3808      95.5968      79.08      ]\n",
      " [ 31.4745       5.1508       2.3595      20.9349      49.2274\n",
      "   73.8906      89.9873     102.8804     119.9394     140.7049\n",
      "  155.76339999 155.5045     139.63359999 117.5251      99.04809999]\n",
      " [ 23.3435       3.322        6.1974      29.8039      62.4919\n",
      "   90.9152     110.1363     125.5183     144.4305     166.4138\n",
      "  182.0544     181.7421     165.1823     141.7492     121.3122    ]\n",
      " [ 17.5083       3.7891      12.3311      40.9688      78.0524\n",
      "  110.2356     132.58119999 150.45199999 171.21759999 194.41859999\n",
      "  210.64139999 210.27569999 193.02689999 168.2693     145.87219999]]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "## Display the model result just download\n",
    "import numpy\n",
    "import pickle\n",
    "from matplotlib import pyplot\n",
    "with open('./c2d_output/4893459b9df0462daf12e3a246356bad.pickle', \"rb\") as f2:\n",
    "    content = f2.read()\n",
    "    model = pickle.loads(content)\n",
    "    print(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e94e7a96-d9f9-49aa-ad7a-9a980ca415e2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "23dc10f8-f905-4b21-8773-7eb5400bd2f1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "## generate plot for C2D result model\n",
    "import numpy\n",
    "import pickle\n",
    "from matplotlib import pyplot\n",
    "\n",
    "with open('./c2d_output/4893459b9df0462daf12e3a246356bad.pickle', 'rb') as file:\n",
    "    content = file.read()\n",
    "\n",
    "model = pickle.loads(content)\n",
    "X0_vec = numpy.linspace(-5., 10., 15)\n",
    "X1_vec = numpy.linspace(0., 15., 15)\n",
    "X0, X1 = numpy.meshgrid(X0_vec, X1_vec)\n",
    "b, c, t = 0.12918450914398066, 1.5915494309189535, 0.039788735772973836\n",
    "u = X1 - b * X0 ** 2 + c * X0 - 6\n",
    "r = 10. * (1. - t) * numpy.cos(X0) + 10\n",
    "Z = u ** 2 + r\n",
    "\n",
    "fig, ax = pyplot.subplots(subplot_kw={\"projection\": \"3d\"})\n",
    "ax.scatter(X0, X1, model, c=\"r\", label=\"model\")\n",
    "pyplot.title(\"Data + model\")\n",
    "pyplot.show()  \n",
    "# pyplot.savefig(\"test.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "01a955f8-e6a7-4946-bd54-cabfadc18b67",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------------------------------\n",
      "Converting notebook into Python script ...\n",
      " \n",
      "Convert finished ! \n",
      "------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "app.ocean.convert('convert_example.ipynb')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a559998e-5c6a-4305-bb33-ef0960cd0c90",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.17"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}