{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "57c258ff",
   "metadata": {},
   "source": [
    "# Timber bucking demo"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6a9f968",
   "metadata": {},
   "source": [
    "This notebook demonstrates timber objects, tapers, pricelists, the Nasberg bucking algorithm and how solution cubes store many results in `xarray`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "28679924",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-17T18:03:41.280783Z",
     "iopub.status.busy": "2025-07-17T18:03:41.280610Z",
     "iopub.status.idle": "2025-07-17T18:03:42.246883Z",
     "shell.execute_reply": "2025-07-17T18:03:42.246216Z"
    }
   },
   "outputs": [],
   "source": [
    "from pyforestry.base.pricelist import create_pricelist_from_data\n",
    "from pyforestry.base.pricelist.data.mellanskog_2013 import Mellanskog_2013_price_data\n",
    "from pyforestry.base.pricelist.solutioncube import SolutionCube\n",
    "from pyforestry.base.timber_bucking.nasberg_1985 import BuckingConfig, Nasberg_1985_BranchBound\n",
    "from pyforestry.sweden.taper import EdgrenNylinder1949\n",
    "from pyforestry.sweden.timber.swe_timber import SweTimber"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1f059fc",
   "metadata": {},
   "source": [
    "## Create timber object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "87346ed0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-17T18:03:42.250843Z",
     "iopub.status.busy": "2025-07-17T18:03:42.250143Z",
     "iopub.status.idle": "2025-07-17T18:03:42.256763Z",
     "shell.execute_reply": "2025-07-17T18:03:42.256201Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pyforestry.sweden.timber.swe_timber.SweTimber at 0x7fa7b0de3e50>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timber = SweTimber(species='pinus sylvestris', diameter_cm=18, height_m=25)\n",
    "timber"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0744a1bc",
   "metadata": {},
   "source": [
    "## Load pricelist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5e33f680",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-17T18:03:42.258631Z",
     "iopub.status.busy": "2025-07-17T18:03:42.258185Z",
     "iopub.status.idle": "2025-07-17T18:03:42.261989Z",
     "shell.execute_reply": "2025-07-17T18:03:42.261493Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['pinus sylvestris'])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pricelist = create_pricelist_from_data(Mellanskog_2013_price_data, species_to_load='pinus sylvestris')\n",
    "pricelist.Timber.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9f05732",
   "metadata": {},
   "source": [
    "## Run bucking optimizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "76197d83",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-17T18:03:42.263598Z",
     "iopub.status.busy": "2025-07-17T18:03:42.263402Z",
     "iopub.status.idle": "2025-07-17T18:03:42.747932Z",
     "shell.execute_reply": "2025-07-17T18:03:42.747301Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BuckingResult(species_group='pinus sylvestris', total_value=np.float32(111.70413), top_proportion=0.006394778317476707, dead_wood_proportion=0.0, high_stump_volume_proportion=0.0, high_stump_value_proportion=0.0, last_cut_relative_height=np.float64(0.894), volume_per_quality=[0.0, 0.1061747827409899, 0.10089169267225445, 0.1242397819277461, 0.0, 0.0, 0.0], timber_price_by_quality=[0.0, np.float32(374.95026), np.float32(395.25204), np.float32(131.40779), 0.0, 0.0, 0.0], vol_fub_5cm=0.3312953029462704, vol_sk_ub=0.333427497880165, DBH_cm=np.float64(18.000000000000004), height_m=25, stump_height_m=0.25, diameter_stump_cm=np.float64(20.503363467016907), taperDiams_cm=[20.50336265563965, 19.994277954101562, 19.61321449279785, 19.30855369567871, 19.054716110229492, 18.83714485168457, 18.646760940551758, 18.47751808166504, 18.325185775756836, 18.186691284179688, 18.059728622436523, 17.942522048950195, 17.833681106567383, 17.732088088989258, 17.6368408203125, 17.547189712524414, 17.46251678466797, 17.382295608520508, 17.306081771850586, 17.233495712280273, 17.16420555114746, 17.097925186157227, 17.034404754638672, 16.97342300415039, 16.914785385131836, 16.858318328857422, 16.803865432739258, 16.751291275024414, 16.70046615600586, 16.651281356811523, 16.6036319732666, 16.557424545288086, 16.512577056884766, 16.46900749206543, 16.426651000976562, 16.38543701171875, 16.345306396484375, 16.306203842163086, 16.26807975769043, 16.230884552001953, 16.1945743560791, 16.159109115600586, 16.124448776245117, 16.090559005737305, 16.057403564453125, 16.02495574951172, 15.993182182312012, 15.962057113647461, 15.931553840637207, 15.90164852142334, 15.872318267822266, 15.843542098999023, 15.81529712677002, 15.787566184997559, 15.760330200195312, 15.727702140808105, 15.703722953796387, 15.679622650146484, 15.655400276184082, 15.631054878234863, 15.606584548950195, 15.581988334655762, 15.557265281677246, 15.532414436340332, 15.50743293762207, 15.482320785522461, 15.457075119018555, 15.431696891784668, 15.406182289123535, 15.380531311035156, 15.354741096496582, 15.328811645507812, 15.302741050720215, 15.276528358459473, 15.25016975402832, 15.223666191101074, 15.197013854980469, 15.170212745666504, 15.143260955810547, 15.116156578063965, 15.088896751403809, 15.061481475830078, 15.033907890319824, 15.006174087524414, 14.978279113769531, 14.950220108032227, 14.921995162963867, 14.893603324890137, 14.865041732788086, 14.836308479309082, 14.807401657104492, 14.778319358825684, 14.749058723449707, 14.719618797302246, 14.689995765686035, 14.660187721252441, 14.630193710327148, 14.60000991821289, 14.569634437561035, 14.539064407348633, 14.508298873901367, 14.477333068847656, 14.446166038513184, 14.414793968200684, 14.38321590423584, 14.35142707824707, 14.319425582885742, 14.287208557128906, 14.254773139953613, 14.222116470336914, 14.18923568725586, 14.156126976013184, 14.122786521911621, 14.089213371276855, 14.055401802062988, 14.021349906921387, 13.987054824829102, 13.952510833740234, 13.917716026306152, 13.882665634155273, 13.847357749938965, 13.811785697937012, 13.775948524475098, 13.739839553833008, 13.70345687866211, 13.666794776916504, 13.629850387573242, 13.59261703491211, 13.555092811584473, 13.517271041870117, 13.479147911071777, 13.440718650817871, 13.401978492736816, 13.362921714782715, 13.323542594909668, 13.28383731842041, 13.243800163269043, 13.203424453735352, 13.162704467773438, 13.121635437011719, 13.08021068572998, 13.038424491882324, 12.996269226074219, 12.953739166259766, 12.91082763671875, 12.867527961730957, 12.823832511901855, 12.77973461151123, 12.722068786621094, 12.649435997009277, 12.576272964477539, 12.502571105957031, 12.428321838378906, 12.353517532348633, 12.27815055847168, 12.202211380004883, 12.125691413879395, 12.048582077026367, 11.970873832702637, 11.892557144165039, 11.813623428344727, 11.734062194824219, 11.653862953186035, 11.573016166687012, 11.491511344909668, 11.40933609008789, 11.326481819152832, 11.242935180664062, 11.158685684204102, 11.07371997833252, 10.988027572631836, 10.901595115661621, 10.814409255981445, 10.726457595825195, 10.637725830078125, 10.548199653625488, 10.457866668701172, 10.366710662841797, 10.2747163772583, 10.181868553161621, 10.088150978088379, 9.993548393249512, 9.898042678833008, 9.801615715026855, 9.704252243041992, 9.605931282043457, 9.506634712219238, 9.406343460083008, 9.305037498474121, 9.2026948928833, 9.099294662475586, 8.994815826416016, 8.889233589172363, 8.782526969909668, 8.67466926574707, 8.56563663482666, 8.455403327941895, 8.343942642211914, 8.231225967407227, 8.117225646972656, 8.001911163330078, 7.885253429412842, 7.767219543457031, 7.6477766036987305, 7.526891231536865, 7.40452766418457, 7.280649185180664, 7.155218601226807, 7.028195858001709, 6.899539947509766, 6.769208908081055, 6.637157917022705, 6.503341197967529, 6.367711067199707, 6.230217933654785, 6.090808868408203, 5.9494309425354, 5.806026935577393, 5.660538196563721, 5.512903213500977, 5.363057613372803, 5.210934162139893], taperHeights_m=[0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.8500000000000001, 0.9500000000000001, 1.05, 1.15, 1.25, 1.35, 1.4500000000000002, 1.55, 1.6500000000000001, 1.75, 1.85, 1.9500000000000002, 2.05, 2.1500000000000004, 2.25, 2.35, 2.45, 2.5500000000000003, 2.6500000000000004, 2.75, 2.85, 2.95, 3.0500000000000003, 3.1500000000000004, 3.25, 3.35, 3.45, 3.5500000000000003, 3.6500000000000004, 3.75, 3.85, 3.95, 4.050000000000001, 4.15, 4.25, 4.3500000000000005, 4.45, 4.55, 4.65, 4.75, 4.8500000000000005, 4.95, 5.050000000000001, 5.15, 5.25, 5.3500000000000005, 5.45, 5.550000000000001, 5.65, 5.75, 5.8500000000000005, 5.95, 6.050000000000001, 6.15, 6.25, 6.3500000000000005, 6.45, 6.550000000000001, 6.65, 6.75, 6.8500000000000005, 6.95, 7.050000000000001, 7.15, 7.25, 7.3500000000000005, 7.45, 7.550000000000001, 7.65, 7.75, 7.8500000000000005, 7.95, 8.05, 8.15, 8.25, 8.35, 8.450000000000001, 8.55, 8.65, 8.75, 8.85, 8.950000000000001, 9.05, 9.15, 9.25, 9.35, 9.450000000000001, 9.55, 9.65, 9.75, 9.850000000000001, 9.950000000000001, 10.05, 10.15, 10.25, 10.350000000000001, 10.450000000000001, 10.55, 10.65, 10.75, 10.850000000000001, 10.950000000000001, 11.05, 11.15, 11.25, 11.350000000000001, 11.450000000000001, 11.55, 11.65, 11.75, 11.850000000000001, 11.950000000000001, 12.05, 12.15, 12.25, 12.350000000000001, 12.450000000000001, 12.55, 12.65, 12.75, 12.850000000000001, 12.950000000000001, 13.05, 13.15, 13.25, 13.350000000000001, 13.450000000000001, 13.55, 13.65, 13.75, 13.850000000000001, 13.950000000000001, 14.05, 14.15, 14.25, 14.350000000000001, 14.450000000000001, 14.55, 14.65, 14.75, 14.850000000000001, 14.950000000000001, 15.05, 15.15, 15.25, 15.350000000000001, 15.450000000000001, 15.55, 15.65, 15.75, 15.850000000000001, 15.950000000000001, 16.05, 16.15, 16.25, 16.35, 16.45, 16.55, 16.650000000000002, 16.75, 16.85, 16.95, 17.05, 17.150000000000002, 17.25, 17.35, 17.45, 17.55, 17.650000000000002, 17.75, 17.85, 17.95, 18.05, 18.150000000000002, 18.25, 18.35, 18.45, 18.55, 18.650000000000002, 18.75, 18.85, 18.95, 19.05, 19.150000000000002, 19.25, 19.35, 19.450000000000003, 19.55, 19.650000000000002, 19.75, 19.85, 19.950000000000003, 20.05, 20.150000000000002, 20.25, 20.35, 20.450000000000003, 20.55, 20.650000000000002, 20.75, 20.85, 20.950000000000003, 21.05, 21.150000000000002, 21.25, 21.35, 21.450000000000003, 21.55, 21.650000000000002, 21.75, 21.85, 21.950000000000003, 22.05, 22.150000000000002, 22.25, 22.35], sections=[CrossCutSection(start_point=np.int16(100), end_point=221, volume=0.1242397819277461, top_diameter=np.float32(5.210934), value=np.float32(32.01622), species_group='pinus sylvestris', timber_proportion=1.0, pulp_proportion=0.0, cull_proportion=0.0, fuelwood_proportion=0.0, quality=<QualityType.TopLog: 3>), CrossCutSection(start_point=np.int16(45), end_point=np.int16(100), volume=0.10089169267225445, top_diameter=np.float32(14.508299), value=np.float32(39.877647), species_group='pinus sylvestris', timber_proportion=1.0, pulp_proportion=0.0, cull_proportion=0.0, fuelwood_proportion=0.0, quality=<QualityType.MiddleLog: 2>), CrossCutSection(start_point=np.int16(0), end_point=np.int16(45), volume=0.1061747827409899, top_diameter=np.float32(16.024956), value=np.float32(39.81026), species_group='pinus sylvestris', timber_proportion=1.0, pulp_proportion=0.0, cull_proportion=0.0, fuelwood_proportion=0.0, quality=<QualityType.ButtLog: 1>)])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "optimizer = Nasberg_1985_BranchBound(timber, pricelist, EdgrenNylinder1949)\n",
    "result = optimizer.calculate_tree_value(min_diam_dead_wood=99, config=BuckingConfig(save_sections=True))\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ae9112af",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-17T18:03:42.750010Z",
     "iopub.status.busy": "2025-07-17T18:03:42.749825Z",
     "iopub.status.idle": "2025-07-17T18:03:43.089458Z",
     "shell.execute_reply": "2025-07-17T18:03:43.088887Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "result.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54c1dc54",
   "metadata": {},
   "source": [
    "## Generate a small solution cube"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "66adf409",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-17T18:03:43.095643Z",
     "iopub.status.busy": "2025-07-17T18:03:43.095418Z",
     "iopub.status.idle": "2025-07-17T18:03:44.194742Z",
     "shell.execute_reply": "2025-07-17T18:03:44.194109Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generating Solution Cube using 1 parallel processes...\n",
      "Pricelist hash: 4058af6a860784c4a6ce94f561a4f484a0401624c2f3cc8405c3074570164174\n",
      "Total trees to process: 4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generating Solution Cube:   0% 0/4 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "Generating Solution Cube: 100% 4/4 [00:00<00:00, 920.06it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Finished parallel computation in 1.08 seconds.\n",
      "Successfully created xarray Dataset.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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       "  );\n",
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       "\n",
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       "  min-width: 300px;\n",
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       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
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       "\n",
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       "  margin-left: 2px;\n",
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       "\n",
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       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
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       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
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       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
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       "\n",
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       "\n",
       ".xr-section-inline-details {\n",
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       "\n",
       ".xr-section-details {\n",
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       "  grid-column: 1 / -1;\n",
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       "\n",
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       "\n",
       ".xr-array-wrap {\n",
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       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
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       "\n",
       ".xr-array-wrap > label {\n",
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       "\n",
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       "\n",
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       "  padding: 0 5px !important;\n",
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       "\n",
       ".xr-array-data,\n",
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       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
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       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list:before {\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "  padding-bottom: 20px !important;\n",
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       "\n",
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       "\n",
       ".xr-var-data > table {\n",
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       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
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       "\n",
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       ".xr-index-data,\n",
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       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
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       "\n",
       "dl.xr-attrs {\n",
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       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 88B\n",
       "Dimensions:            (species: 1, height: 2, dbh: 2)\n",
       "Coordinates:\n",
       "  * species            (species) object 8B &#x27;picea abies&#x27;\n",
       "  * height             (height) float64 16B 15.0 15.2\n",
       "  * dbh                (dbh) int64 16B 20 22\n",
       "Data variables:\n",
       "    total_value        (species, height, dbh) float32 16B 55.12 69.41 ... 70.02\n",
       "    solution_sections  (species, height, dbh) object 32B &#x27;[{&quot;start_point&quot;: 80...\n",
       "Attributes:\n",
       "    pricelist_hash:     4058af6a860784c4a6ce94f561a4f484a0401624c2f3cc8405c30...\n",
       "    taper_model:        EdgrenNylinder1949\n",
       "    creation_date_utc:  2025-07-17T18:03:44.181048+00:00\n",
       "    dbh_range:          20-22 cm\n",
       "    height_range:       15-15.2 m</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cd2325cf-6b63-43f3-a974-7cfcd3ec4578' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cd2325cf-6b63-43f3-a974-7cfcd3ec4578' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>species</span>: 1</li><li><span class='xr-has-index'>height</span>: 2</li><li><span class='xr-has-index'>dbh</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-90c38737-26e6-42b4-8da8-c81833b54b3f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-90c38737-26e6-42b4-8da8-c81833b54b3f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>species</span></div><div class='xr-var-dims'>(species)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;picea abies&#x27;</div><input id='attrs-21a1cb58-5fa8-4353-942f-056224c96b0a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-21a1cb58-5fa8-4353-942f-056224c96b0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d93e1a8f-f0eb-4c29-83b0-b153fbad527f' class='xr-var-data-in' type='checkbox'><label for='data-d93e1a8f-f0eb-4c29-83b0-b153fbad527f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;picea abies&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>height</span></div><div class='xr-var-dims'>(height)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 15.2</div><input id='attrs-6e1b2706-de14-4198-a340-e25ee52880d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e1b2706-de14-4198-a340-e25ee52880d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0dad57fb-b832-415a-a35c-75ef6ac232c1' class='xr-var-data-in' type='checkbox'><label for='data-0dad57fb-b832-415a-a35c-75ef6ac232c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([15. , 15.2])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dbh</span></div><div class='xr-var-dims'>(dbh)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>20 22</div><input id='attrs-c9f61588-4d3a-4132-a36e-f617d054d78c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9f61588-4d3a-4132-a36e-f617d054d78c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2612c7c-276f-409e-a02d-d6a4411dd719' class='xr-var-data-in' type='checkbox'><label for='data-d2612c7c-276f-409e-a02d-d6a4411dd719' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([20, 22])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2f241fd7-5994-4645-a1ce-6e12f5c50699' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2f241fd7-5994-4645-a1ce-6e12f5c50699' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>total_value</span></div><div class='xr-var-dims'>(species, height, dbh)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>55.12 69.41 55.56 70.02</div><input id='attrs-16667bbc-31a9-4c1a-84a7-1ff9dd132c50' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16667bbc-31a9-4c1a-84a7-1ff9dd132c50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbd72981-3325-4a61-900f-b1841f9a46c1' class='xr-var-data-in' type='checkbox'><label for='data-dbd72981-3325-4a61-900f-b1841f9a46c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[55.121742, 69.41475 ],\n",
       "        [55.56269 , 70.01582 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>solution_sections</span></div><div class='xr-var-dims'>(species, height, dbh)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;[{&quot;start_point&quot;: 80, &quot;end_point...</div><input id='attrs-448b8598-91a7-4988-ab55-416fe7f689b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-448b8598-91a7-4988-ab55-416fe7f689b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4772a89f-8ab8-409d-b26b-46f557ed10a7' class='xr-var-data-in' type='checkbox'><label for='data-4772a89f-8ab8-409d-b26b-46f557ed10a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[&#x27;[{&quot;start_point&quot;: 80, &quot;end_point&quot;: 115, &quot;volume&quot;: 0.016191082232439986, &quot;top_diameter&quot;: 5.185598373413086, &quot;value&quot;: 4.290634632110596, &quot;species_group&quot;: &quot;picea abies&quot;, &quot;timber_proportion&quot;: 1.0, &quot;pulp_proportion&quot;: 0.0, &quot;cull_proportion&quot;: 0.0, &quot;fuelwood_proportion&quot;: 0.0, &quot;quality&quot;: 3}, {&quot;start_point&quot;: 52, &quot;end_point&quot;: 80, &quot;volume&quot;: 0.032022008100272975, &quot;top_diameter&quot;: 9.956061363220215, &quot;value&quot;: 8.485830307006836, &quot;species_group&quot;: &quot;picea abies&quot;, &quot;timber_proportion&quot;: 1.0, &quot;pulp_proportion&quot;: 0.0, &quot;cull_proportion&quot;: 0.0, &quot;fuelwood_proportion&quot;: 0.0, &quot;quality&quot;: 2}, {&quot;start_point&quot;: 0, &quot;end_point&quot;: 52, &quot;volume&quot;: 0.1362180790952966, &quot;top_diameter&quot;: 14.06132698059082, &quot;value&quot;: 42.345279693603516, &quot;species_group&quot;: &quot;picea abies&quot;, &quot;timber_proportion&quot;: 1.0, &quot;pulp_proportion&quot;: 0.0, &quot;cull_proportion&quot;: 0.0, &quot;fuelwood_proportion&quot;: 0.0, &quot;quality&quot;: 1}]&#x27;,\n",
       "         &#x27;[{&quot;start_point&quot;: 63, &quot;end_point&quot;: 118, &quot;volume&quot;: 0.04063251286964093, &quot;top_diameter&quot;: 5.233541488647461, &quot;value&quot;: 10.767617225646973, &quot;species_group&quot;: &quot;picea abies&quot;, &quot;timber_proportion&quot;: 1.0, &quot;pulp_proportion&quot;: 0.0, &quot;cull_proportion&quot;: 0.0, &quot;fuelwood_proportion&quot;: 0.0, &quot;quality&quot;: 3}, {&quot;start_point&quot;: 36, &quot;end_point&quot;: 63, &quot;volume&quot;: 0.05364847041562995, &quot;top_diameter&quot;: 13.683911323547363, &quot;value&quot;: 14.216845512390137, &quot;species_group&quot;: &quot;picea abies&quot;, &quot;timber_proportion&quot;: 1.0, &quot;pulp_proportion&quot;: 0.0, &quot;cull_proportion&quot;: 0.0, &quot;fuelwood_proportion&quot;: 0.0, &quot;quality&quot;: 2}, {&quot;start_point&quot;: 0, &quot;end_point&quot;: 36, &quot;volume&quot;: 0.12936282734352741, &quot;top_diameter&quot;: 18.028379440307617, &quot;value&quot;: 44.4302864074707, &quot;species_group&quot;: &quot;picea abies&quot;, &quot;timber_proportion&quot;: 1.0, &quot;pulp_proportion&quot;: 0.0, &quot;cull_proportion&quot;: 0.0, &quot;fuelwood_proportion&quot;: 0.0, &quot;quality&quot;: 1}]&#x27;],\n",
       "        [&#x27;[{&quot;start_point&quot;: 81, &quot;end_point&quot;: 117, &quot;volume&quot;: 0.016500787693186084, &quot;top_diameter&quot;: 5.111711502075195, &quot;value&quot;: 4.37270975112915, &quot;species_group&quot;: &quot;picea abies&quot;, &quot;timber_proportion&quot;: 1.0, &quot;pulp_proportion&quot;: 0.0, &quot;cull_proportion&quot;: 0.0, &quot;fuelwood_proportion&quot;: 0.0, &quot;quality&quot;: 3}, {&quot;start_point&quot;: 52, &quot;end_point&quot;: 81, &quot;volume&quot;: 0.0333762238052496, &quot;top_diameter&quot;: 9.94941520690918, &quot;value&quot;: 8.844701766967773, &quot;species_group&quot;: &quot;picea abies&quot;, &quot;timber_proportion&quot;: 1.0, &quot;pulp_proportion&quot;: 0.0, &quot;cull_proportion&quot;: 0.0, &quot;fuelwood_proportion&quot;: 0.0, &quot;quality&quot;: 2}, {&quot;start_point&quot;: 0, &quot;end_point&quot;: 52, &quot;volume&quot;: 0.13651392477890803, &quot;top_diameter&quot;: 14.13994312286377, &quot;value&quot;: 42.345279693603516, &quot;species_group&quot;: &quot;picea abies&quot;, &quot;timber_proportion&quot;: 1.0, &quot;pulp_proportion&quot;: 0.0, &quot;cull_proportion&quot;: 0.0, &quot;fuelwood_proportion&quot;: 0.0, &quot;quality&quot;: 1}]&#x27;,\n",
       "         &#x27;[{&quot;start_point&quot;: 70, &quot;end_point&quot;: 120, &quot;volume&quot;: 0.032728334497939424, &quot;top_diameter&quot;: 5.158217430114746, &quot;value&quot;: 8.67300796508789, &quot;species_group&quot;: &quot;picea abies&quot;, &quot;timber_proportion&quot;: 1.0, &quot;pulp_proportion&quot;: 0.0, &quot;cull_proportion&quot;: 0.0, &quot;fuelwood_proportion&quot;: 0.0, &quot;quality&quot;: 3}, {&quot;start_point&quot;: 36, &quot;end_point&quot;: 70, &quot;volume&quot;: 0.06382086924742099, &quot;top_diameter&quot;: 12.685321807861328, &quot;value&quot;: 16.91252899169922, &quot;species_group&quot;: &quot;picea abies&quot;, &quot;timber_proportion&quot;: 1.0, &quot;pulp_proportion&quot;: 0.0, &quot;cull_proportion&quot;: 0.0, &quot;fuelwood_proportion&quot;: 0.0, &quot;quality&quot;: 2}, {&quot;start_point&quot;: 0, &quot;end_point&quot;: 36, &quot;volume&quot;: 0.12943462648888698, &quot;top_diameter&quot;: 18.076704025268555, &quot;value&quot;: 44.4302864074707, &quot;species_group&quot;: &quot;picea abies&quot;, &quot;timber_proportion&quot;: 1.0, &quot;pulp_proportion&quot;: 0.0, &quot;cull_proportion&quot;: 0.0, &quot;fuelwood_proportion&quot;: 0.0, &quot;quality&quot;: 1}]&#x27;]]],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c6a47026-54a7-4a00-a460-9a9c2e97527b' class='xr-section-summary-in' type='checkbox'  ><label for='section-c6a47026-54a7-4a00-a460-9a9c2e97527b' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>species</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5cc02b7e-b3a5-4e9a-b1f0-3f92009979a2' class='xr-index-data-in' type='checkbox'/><label for='index-5cc02b7e-b3a5-4e9a-b1f0-3f92009979a2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;picea abies&#x27;], dtype=&#x27;object&#x27;, name=&#x27;species&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>height</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5b880ded-6636-4e76-a3b6-292f30b343b3' class='xr-index-data-in' type='checkbox'/><label for='index-5b880ded-6636-4e76-a3b6-292f30b343b3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([15.0, 15.2], dtype=&#x27;float64&#x27;, name=&#x27;height&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dbh</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9c598848-4ecd-4e44-ad08-b7b39b6cf279' class='xr-index-data-in' type='checkbox'/><label for='index-9c598848-4ecd-4e44-ad08-b7b39b6cf279' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([20, 22], dtype=&#x27;int64&#x27;, name=&#x27;dbh&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-82ec1e5c-8cf2-4096-a698-99ec0b7897f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-82ec1e5c-8cf2-4096-a698-99ec0b7897f0' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>pricelist_hash :</span></dt><dd>4058af6a860784c4a6ce94f561a4f484a0401624c2f3cc8405c3074570164174</dd><dt><span>taper_model :</span></dt><dd>EdgrenNylinder1949</dd><dt><span>creation_date_utc :</span></dt><dd>2025-07-17T18:03:44.181048+00:00</dd><dt><span>dbh_range :</span></dt><dd>20-22 cm</dd><dt><span>height_range :</span></dt><dd>15-15.2 m</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 88B\n",
       "Dimensions:            (species: 1, height: 2, dbh: 2)\n",
       "Coordinates:\n",
       "  * species            (species) object 8B 'picea abies'\n",
       "  * height             (height) float64 16B 15.0 15.2\n",
       "  * dbh                (dbh) int64 16B 20 22\n",
       "Data variables:\n",
       "    total_value        (species, height, dbh) float32 16B 55.12 69.41 ... 70.02\n",
       "    solution_sections  (species, height, dbh) object 32B '[{\"start_point\": 80...\n",
       "Attributes:\n",
       "    pricelist_hash:     4058af6a860784c4a6ce94f561a4f484a0401624c2f3cc8405c30...\n",
       "    taper_model:        EdgrenNylinder1949\n",
       "    creation_date_utc:  2025-07-17T18:03:44.181048+00:00\n",
       "    dbh_range:          20-22 cm\n",
       "    height_range:       15-15.2 m"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cube = SolutionCube.generate(\n",
    "    pricelist_data=Mellanskog_2013_price_data,\n",
    "    taper_model=EdgrenNylinder1949,\n",
    "    species_list=['picea abies'],\n",
    "    dbh_range=(20,22),\n",
    "    height_range=(15,15.2),\n",
    "    dbh_step=2,\n",
    "    height_step=0.2,\n",
    "    workers=1\n",
    ")\n",
    "cube.dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "508f92b4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-17T18:03:44.196788Z",
     "iopub.status.busy": "2025-07-17T18:03:44.196576Z",
     "iopub.status.idle": "2025-07-17T18:03:44.203379Z",
     "shell.execute_reply": "2025-07-17T18:03:44.202861Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(55.121742248535156,\n",
       " [{'start_point': 80,\n",
       "   'end_point': 115,\n",
       "   'volume': 0.016191082232439986,\n",
       "   'top_diameter': 5.185598373413086,\n",
       "   'value': 4.290634632110596,\n",
       "   'species_group': 'picea abies',\n",
       "   'timber_proportion': 1.0,\n",
       "   'pulp_proportion': 0.0,\n",
       "   'cull_proportion': 0.0,\n",
       "   'fuelwood_proportion': 0.0,\n",
       "   'quality': 3},\n",
       "  {'start_point': 52,\n",
       "   'end_point': 80,\n",
       "   'volume': 0.032022008100272975,\n",
       "   'top_diameter': 9.956061363220215,\n",
       "   'value': 8.485830307006836,\n",
       "   'species_group': 'picea abies',\n",
       "   'timber_proportion': 1.0,\n",
       "   'pulp_proportion': 0.0,\n",
       "   'cull_proportion': 0.0,\n",
       "   'fuelwood_proportion': 0.0,\n",
       "   'quality': 2},\n",
       "  {'start_point': 0,\n",
       "   'end_point': 52,\n",
       "   'volume': 0.1362180790952966,\n",
       "   'top_diameter': 14.06132698059082,\n",
       "   'value': 42.345279693603516,\n",
       "   'species_group': 'picea abies',\n",
       "   'timber_proportion': 1.0,\n",
       "   'pulp_proportion': 0.0,\n",
       "   'cull_proportion': 0.0,\n",
       "   'fuelwood_proportion': 0.0,\n",
       "   'quality': 1}])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cube.lookup(species='picea abies', dbh=20.0, height=15.0)"
   ]
  }
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