{ "cells": [ { "cell_type": "markdown", "id": "9bb71b4c-18c6-4b5c-9183-8a34679bbc7d", "metadata": {}, "source": [ "# Implement the *Neilson hack* using `ws3` and `libcbm` (from scratch)" ] }, { "cell_type": "markdown", "id": "e19e32a4-b3d9-4b08-af0b-f97fb2ecec38", "metadata": {}, "source": [ "In this notebook we show how to implement the *Neilson hack* (i.e., generate carbon yield curves from a CBM for use in a forest estate model) using `ws3` and `libcbm`. \n", "\n", "In a nutshell, the *Neilson hack* consists of running a CBM from forest estate model output (see example notebook 030 and 031 for details), except that the inventory table gets hacked to have one record per development type (with age set to 0 and area set to 1) and no disturabance events are simulated. Carbon stock and flux data exported from the CBM can then be reformatted and imported in the forest estate model as carbon yield curves. That is about it. Should work for just about any `ws3` model. See Neilson et al. (2006) for details.\n", "\n", "> Neilson, E. T., MacLean, D. A., Arp, P. A., Meng, F. R., Bourque, C. P., & Bhatti, J. S. (2006). Modeling carbon sequestration with CO2Fix and a timber supply model for use in forest management planning. Canadian journal of soil science, 86(Special Issue), 219-233.\n", "\n", "In this notebook, we implement the Neilson hack from scratch. In notebook 041 we show how to use built-in `ws3` functions to automate this." ] }, { "cell_type": "markdown", "id": "de78c4b7-d920-4b7d-99fa-c379ec854fd3", "metadata": {}, "source": [ "## Set up modelling environment" ] }, { "cell_type": "markdown", "id": "697f5364-a7d0-460e-8df7-10e9ebf4d44a", "metadata": {}, "source": [ "First, make sure we have the correct versions of `ws3` and `libcbm` installed. Both of these packages are relatively new and under active development, it is best we stick to known-working versions of each package from their respective GitHub repos. \n", "\n", "\n", "> We _strongly recommend_ that you run this notebook in venv-sandboxed Python kernel (see `venv_python_kernel_setup` notebook for an example of how to do this). This will ensure that you are working from a fresh Python package environment, and not wasting time debugging random interactions between this notebook and whatever mishmash of packages you have installed on your system in various parts of your Python path. You have been warned. " ] }, { "cell_type": "code", "execution_count": 1, "id": "0fc5a914-6738-413e-8b82-7db5c71e291d", "metadata": { "tags": [] }, "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "markdown", "id": "a7f6df14", "metadata": {}, "source": [ "Optionally, uninstall the `ws3` package and replace it with a pointer to _this local clone of the GitHub repository code_ (useful if you want ot tweak the source code for whatever reason). " ] }, { "cell_type": "code", "execution_count": 2, "id": "c3246cee", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Found existing installation: ws3 1.1.0.dev0\n", "Uninstalling ws3-1.1.0.dev0:\n", " Successfully uninstalled ws3-1.1.0.dev0\n", "Note: you may need to restart the kernel to use updated packages.\n", "Obtaining file:///home/gep/tmp/ws3\n", " Installing build dependencies ... \u001b[?25ldone\n", "\u001b[?25h Checking if build backend supports build_editable ... \u001b[?25ldone\n", "\u001b[?25h Getting requirements to build editable ... \u001b[?25ldone\n", "\u001b[?25h Installing backend dependencies ... \u001b[?25ldone\n", "\u001b[?25h Preparing editable metadata (pyproject.toml) ... \u001b[?25ldone\n", "\u001b[?25hRequirement already satisfied: dill in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from ws3==1.1.0.dev0) (0.4.0)\n", "Requirement already satisfied: fiona in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from ws3==1.1.0.dev0) (1.10.1)\n", "Requirement already satisfied: gurobipy in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from ws3==1.1.0.dev0) (12.0.3)\n", "Requirement already satisfied: highspy in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from ws3==1.1.0.dev0) (1.11.0)\n", "Requirement already satisfied: libcbm in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from ws3==1.1.0.dev0) (2.8.1)\n", "Requirement already satisfied: matplotlib in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from ws3==1.1.0.dev0) (3.10.5)\n", "Requirement already satisfied: numpy>=1.21 in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from ws3==1.1.0.dev0) (2.2.6)\n", "Requirement already satisfied: pandas>=1.3 in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from ws3==1.1.0.dev0) (2.3.1)\n", "Requirement already satisfied: profilehooks in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from ws3==1.1.0.dev0) (1.13.0)\n", "Requirement already 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(1.17.0)\n", "Requirement already satisfied: attrs>=19.2.0 in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from fiona->ws3==1.1.0.dev0) (25.3.0)\n", "Requirement already satisfied: certifi in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from fiona->ws3==1.1.0.dev0) (2025.8.3)\n", "Requirement already satisfied: click~=8.0 in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from fiona->ws3==1.1.0.dev0) (8.2.1)\n", "Requirement already satisfied: click-plugins>=1.0 in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from fiona->ws3==1.1.0.dev0) (1.1.1.2)\n", "Requirement already satisfied: cligj>=0.5 in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from fiona->ws3==1.1.0.dev0) (0.7.2)\n", "Requirement already satisfied: numexpr>=2.8.7 in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from libcbm->ws3==1.1.0.dev0) (2.11.0)\n", "Requirement already satisfied: numba in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from 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(2.4.0)\n", "Building wheels for collected packages: ws3\n", " Building editable for ws3 (pyproject.toml) ... \u001b[?25ldone\n", "\u001b[?25h Created wheel for ws3: filename=ws3-1.1.0.dev0-py3-none-any.whl size=4136 sha256=5df49d1809d2f15004f3046010971c142390fb47fb3bfa7620b09e11903424a7\n", " Stored in directory: /tmp/pip-ephem-wheel-cache-gqh8kf6a/wheels/fa/4b/10/3fe4b92a02fb87987a6fe53a10fad0a22a781bf98cd7b63f17\n", "Successfully built ws3\n", "Installing collected packages: ws3\n", "Successfully installed ws3-1.1.0.dev0\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "clobber_ws3 = True\n", "if clobber_ws3:\n", " %pip uninstall -y ws3\n", " %pip install -e .." ] }, { "cell_type": "markdown", "id": "8d9b334e", "metadata": {}, "source": [ "Use `pip` to install Python packages listed in `requirements.txt` (some extra packages needed for example notebooks to run correctly)." ] }, { "cell_type": "code", "execution_count": 3, "id": "dc08d99a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: seaborn in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from -r requirements.txt (line 1)) (0.13.2)\n", "Requirement already satisfied: geopandas in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from -r requirements.txt (line 2)) (1.1.1)\n", "Requirement already satisfied: ipywidgets in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from -r requirements.txt (line 3)) (8.1.7)\n", "Requirement already satisfied: numpy!=1.24.0,>=1.20 in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from seaborn->-r requirements.txt (line 1)) (2.2.6)\n", "Requirement already satisfied: pandas>=1.2 in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from seaborn->-r requirements.txt (line 1)) (2.3.1)\n", "Requirement already satisfied: matplotlib!=3.6.1,>=3.4 in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from seaborn->-r requirements.txt (line 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(line 3)) (3.0.0)\n", "Requirement already satisfied: pure-eval in /home/gep/tmp/ws3/.venv/lib/python3.12/site-packages (from stack_data->ipython>=6.1.0->ipywidgets->-r requirements.txt (line 3)) (0.2.3)\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "%pip install -r requirements.txt" ] }, { "cell_type": "markdown", "id": "f68d15fd-018e-4f01-9e0f-2bd2990cb0d2", "metadata": {}, "source": [ "Create a `ForestModel` instance by loading Woodstock-formatted input files." ] }, { "cell_type": "code", "execution_count": 4, "id": "98f59dae-1f3c-4261-99b7-b9a356dcd053", "metadata": { "tags": [] }, "outputs": [], "source": [ "import ws3.forest" ] }, { "cell_type": "code", "execution_count": 5, "id": "a660c17d-4745-4a31-ac30-eb3fc5fc31c3", "metadata": { "tags": [] }, "outputs": [], "source": [ "base_year = 2020\n", "horizon = 10\n", "period_length = 10\n", "max_age = 1000\n", "tvy_name = \"totvol\"\n" ] }, { "cell_type": "code", "execution_count": 6, "id": "41b461f7", "metadata": {}, "outputs": [], "source": [ "fm = ws3.forest.ForestModel(model_name=\"tsa24_clipped\",\n", " model_path=\"data/woodstock_model_files_tsa24_clipped\",\n", " base_year=base_year,\n", " horizon=horizon,\n", " period_length=period_length,\n", " max_age=max_age)\n", "fm.import_landscape_section()\n", "fm.import_areas_section(convert_periods_to_years=period_length)\n", "fm.import_yields_section(convert_periods_to_years=period_length)\n", "fm.import_actions_section(convert_periods_to_years=period_length)\n", "fm.import_transitions_section(convert_periods_to_years=period_length)\n", "fm.initialize_areas()\n", "fm.add_null_action()\n", "fm.reset_actions()" ] }, { "cell_type": "markdown", "id": "91042058", "metadata": {}, "source": [ "Schedule some harvesting in our `ws3.ForestModel` instance using the self-parametrising priority queue heuristic defined in the local `util` module (just so we have something interesting to push through `libcbm`)." ] }, { "cell_type": "code", "execution_count": 7, "id": "9fe175a3", "metadata": {}, "outputs": [], "source": [ "from util import schedule_harvest_areacontrol" ] }, { "cell_type": "code", "execution_count": 8, "id": "8095744c", "metadata": {}, "outputs": [], "source": [ "sch = schedule_harvest_areacontrol(fm)" ] }, { "cell_type": "code", "execution_count": 9, "id": "3e6b14cf", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(
,\n", " array([,\n", " ,\n", " ], dtype=object))" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from util import compile_scenario, plot_scenario\n", "df = compile_scenario(fm)\n", "plot_scenario(df)" ] }, { "cell_type": "code", "execution_count": 10, "id": "16fbe8e9", "metadata": {}, "outputs": [], "source": [ "disturbance_type_mapping = [{\"user_dist_type\": \"harvest\", \"default_dist_type\": \"Clearcut harvesting without salvage\"},\n", " {\"user_dist_type\": \"fire\", \"default_dist_type\": \"Wildfire\"}]\n" ] }, { "cell_type": "code", "execution_count": 11, "id": "2d68cb31", "metadata": {}, "outputs": [], "source": [ "for dtype_key in fm.dtypes:\n", " fm.dt(dtype_key).last_pass_disturbance = \"fire\" if dtype_key[2] == dtype_key[4] else \"harvest\"\n" ] }, { "cell_type": "code", "execution_count": 12, "id": "76b77751", "metadata": {}, "outputs": [], "source": [ "sit_config, sit_tables = fm.to_cbm_sit(softwood_volume_yname=\"swdvol\",\n", " hardwood_volume_yname=\"hwdvol\",\n", " admin_boundary=\"British Columbia\",\n", " eco_boundary=\"Montane Cordillera\",\n", " disturbance_type_mapping=disturbance_type_mapping)" ] }, { "cell_type": "code", "execution_count": 13, "id": "001e2045", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'softwood'" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fm.dt((\"tsa24_clipped\", \"1\", \"2401002\", \"204\", \"2401002\")).leading_species\n" ] }, { "cell_type": "code", "execution_count": 14, "id": "5e7c3a9b-16e5-4e44-bf9a-cf29ba24265a", "metadata": { "tags": [] }, "outputs": [], "source": [ "fm = ws3.forest.ForestModel(model_name=\"tsa24_clipped\",\n", " model_path=\"data/woodstock_model_files_tsa24_clipped\",\n", " base_year=base_year,\n", " horizon=horizon,\n", " period_length=period_length,\n", " max_age=max_age)\n", "fm.import_landscape_section()\n", "fm.import_areas_section(convert_periods_to_years=period_length)\n", "fm.import_yields_section(convert_periods_to_years=period_length)\n", "fm.import_actions_section(convert_periods_to_years=period_length)\n", "fm.import_transitions_section(convert_periods_to_years=period_length)\n", "fm.initialize_areas()\n", "fm.add_null_action()\n", "fm.reset_actions()" ] }, { "cell_type": "markdown", "id": "34d993ec-a895-4172-b78b-d6da7cd6d33e", "metadata": { "tags": [] }, "source": [ "## Export ``ws3`` data to Standard Input Table (SIT) format" ] }, { "cell_type": "markdown", "id": "79145d24-0eb3-45dc-9d8e-1c1d975122ac", "metadata": {}, "source": [ "Export standard SIT tables from `ws3` as a starting point." ] }, { "cell_type": "code", "execution_count": 15, "id": "6e769bc7-8068-47c5-aff4-9c43cea4781d", "metadata": { "tags": [] }, "outputs": [], "source": [ "disturbance_type_mapping = [{\"user_dist_type\": \"harvest\", \"default_dist_type\": \"Clearcut harvesting without salvage\"},\n", " {\"user_dist_type\": \"fire\", \"default_dist_type\": \"Wildfire\"}]\n" ] }, { "cell_type": "code", "execution_count": 16, "id": "b28616cf-99c6-49cb-9279-6628110a1817", "metadata": { "tags": [] }, "outputs": [], "source": [ "for dtype_key in fm.dtypes:\n", " fm.dt(dtype_key).last_pass_disturbance = \"fire\" if dtype_key[2] == dtype_key[4] else \"harvest\"\n" ] }, { "cell_type": "code", "execution_count": 17, "id": "36d356b4-0095-41f2-9089-5c10ddfe8f76", "metadata": { "tags": [] }, "outputs": [], "source": [ "sit_config, sit_tables = fm.to_cbm_sit(softwood_volume_yname=\"swdvol\",\n", " hardwood_volume_yname=\"hwdvol\",\n", " admin_boundary=\"British Columbia\",\n", " eco_boundary=\"Montane Cordillera\",\n", " disturbance_type_mapping=disturbance_type_mapping)" ] }, { "cell_type": "code", "execution_count": 18, "id": "5783eb45", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "print(fm.dt((\"tsa24_clipped\", \"1\", \"2402000\", \"100\", \"2422000\")))\n" ] }, { "cell_type": "code", "execution_count": 19, "id": "288313f5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(('tsa24_clipped', '0', '2401000', '100', '2401000'), 85)\n", "(('tsa24_clipped', '0', '2401000', '100', '2401000'), 95)\n", "(('tsa24_clipped', '0', '2401000', '100', '2401000'), 105)\n", "(('tsa24_clipped', '0', '2401000', '100', '2401000'), 125)\n", "(('tsa24_clipped', '0', '2401000', '100', '2401000'), 135)\n", "(('tsa24_clipped', '0', '2401000', '100', '2401000'), 145)\n", "(('tsa24_clipped', '0', '2401000', '100', '2401000'), 155)\n", "(('tsa24_clipped', '0', '2402005', '1201', '2402005'), 85)\n", "(('tsa24_clipped', '1', '2401002', '204', '2401002'), 78)\n", "(('tsa24_clipped', '1', '2401002', '204', '2401002'), 80)\n", "(('tsa24_clipped', '1', '2401002', '204', '2401002'), 85)\n", "(('tsa24_clipped', '1', '2401002', '204', '2401002'), 91)\n", "(('tsa24_clipped', '1', '2401002', '204', '2401002'), 93)\n", "(('tsa24_clipped', '1', '2401002', '204', '2401002'), 95)\n", "(('tsa24_clipped', '1', '2401002', '204', '2401002'), 105)\n", "(('tsa24_clipped', '1', '2401002', '204', '2401002'), 113)\n", "(('tsa24_clipped', '1', '2401002', '204', '2401002'), 115)\n", "(('tsa24_clipped', '1', '2401002', '204', '2401002'), 125)\n", "(('tsa24_clipped', '1', '2401002', '204', '2401002'), 135)\n", "(('tsa24_clipped', '1', '2401002', '204', '2401002'), 145)\n", "(('tsa24_clipped', '1', '2401002', '204', '2401002'), 153)\n", "(('tsa24_clipped', '1', '2401002', '204', '2401002'), 155)\n", "(('tsa24_clipped', '1', '2401002', '204', '2421002'), 20)\n", "(('tsa24_clipped', '1', '2402000', '100', '2402000'), 165)\n", "(('tsa24_clipped', '1', '2402002', '204', '2402002'), 78)\n", "(('tsa24_clipped', '1', '2402002', '204', '2402002'), 93)\n", "(('tsa24_clipped', '1', '2402002', '204', '2402002'), 95)\n", "(('tsa24_clipped', '1', '2402002', '204', '2402002'), 115)\n", "(('tsa24_clipped', '1', '2403000', '100', '2403000'), 93)\n", "(('tsa24_clipped', '1', '2403002', '204', '2403002'), 73)\n", "(('tsa24_clipped', '1', '2403002', '204', '2423002'), 9)\n", "(('tsa24_clipped', '1', '2403002', '204', '2423002'), 18)\n" ] } ], "source": [ "p = fm.problems[\"__cbm_sit_bogus\"]\n", "for k in p.trees.keys(): print(k)" ] }, { "cell_type": "code", "execution_count": 20, "id": "b18dd317", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2422000')\n", "\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "('tsa24_clipped', '1', '2402000', '100', '2402000')\n", "\n" ] } ], "source": [ "t = p.trees[((\"tsa24_clipped\", \"1\", \"2402000\", \"100\", \"2402000\"), 165)]\n", "for path in t.paths():\n", " for n in path:\n", " print(n.data(\"dtk\"))\n", " print()" ] }, { "cell_type": "markdown", "id": "f57d1d64-f4fb-492a-9986-965c59134395", "metadata": {}, "source": [ "The `sit_events` table should be empty, because we did not simulate any actions before calling `fm.to_cbm_sit`." ] }, { "cell_type": "code", "execution_count": 21, "id": "1eb300d3-483b-4ad2-a7c6-ddc6aba92523", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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theme0theme1theme2theme3theme4speciesusing_age_classmin_softwood_agemax_softwood_agemin_hardwood_age...MinSWMerchStemSnagCMaxSWMerchStemSnagCMinHWMerchStemSnagCMaxHWMerchStemSnagCefficiencysort_typetarget_typetargetdisturbance_typedisturbance_year
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0 rows \u00d7 38 columns

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" ], "text/plain": [ "Empty DataFrame\n", "Columns: [theme0, theme1, theme2, theme3, theme4, species, using_age_class, min_softwood_age, max_softwood_age, min_hardwood_age, max_hardwood_age, MinYearsSinceDist, MaxYearsSinceDist, LastDistTypeID, MinTotBiomassC, MaxTotBiomassC, MinSWMerchBiomassC, MaxSWMerchBiomassC, MinHWMerchBiomassC, MaxHWMerchBiomassC, MinTotalStemSnagC, MaxTotalStemSnagC, MinSWStemSnagC, MaxSWStemSnagC, MinHWStemSnagC, MaxHWStemSnagC, MinTotalStemSnagMerchC, MaxTotalStemSnagMerchC, MinSWMerchStemSnagC, MaxSWMerchStemSnagC, MinHWMerchStemSnagC, MaxHWMerchStemSnagC, efficiency, sort_type, target_type, target, disturbance_type, disturbance_year]\n", "Index: []\n", "\n", "[0 rows x 38 columns]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sit_tables[\"sit_events\"]\n" ] }, { "cell_type": "markdown", "id": "ccd2944d-fbd2-4898-b551-06e85fbd1430", "metadata": {}, "source": [ "Rebuild the inventory table. We need one inventory record _for every possible development type_ (including system states that are not present in the initial inventory). Conveniently for us, `fm.to_cbm_sit` calls `fm._cbm_sit_yield`, which calls `fm.add_problem`, which calls `fm._bld_tree_m1`, which simulates all feasible combinations of actions, which creates any new development types that we need. You just have to know, and now you can leverage that side-effect to make this next part easy peasy. \n", "\n", "Figuring out which development types were missing and adding them by hand would not have been _too_ difficult for the simple test dataset we are are using here (assuming you are good at reading Woodstock input files and running through all possible future states in your head), but this could be a doozie of a puzzle or larger models with hundreds of initial development types and more complex actions and transitions. Basically, you definitely want to take note of the `add_problem` hack described about and use that. Any other way is just looking for trouble.\n", "\n", "We can reuse the `sit_inventory` table returned from `fm.to_cbm_sit` to make sure we have the correct structure." ] }, { "cell_type": "code", "execution_count": 22, "id": "219cc8a2-aabf-41ae-acf4-6a076ec063f7", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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theme0theme1theme2theme3theme4speciesusing_age_classageareadelaylandclasshistoric_disturbancelast_pass_disturbance
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" ], "text/plain": [ "Empty DataFrame\n", "Columns: [theme0, theme1, theme2, theme3, theme4, species, using_age_class, age, area, delay, landclass, historic_disturbance, last_pass_disturbance]\n", "Index: []" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = sit_tables[\"sit_inventory\"]\n", "df = df.iloc[0:0]\n", "df" ] }, { "cell_type": "code", "execution_count": 23, "id": "651d5c3e-fa59-4a90-94bc-650ea7603fda", "metadata": { "tags": [] }, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 24, "id": "f5852308-6421-4834-9a93-c19647390ea3", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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theme0theme1theme2theme3theme4speciesusing_age_classageareadelaylandclasshistoric_disturbancelast_pass_disturbance
0tsa24_clipped024010001002401000softwoodFALSE01.000firefire
1tsa24_clipped0240200512012402005hardwoodFALSE01.000firefire
2tsa24_clipped124010022042401002softwoodFALSE01.000firefire
3tsa24_clipped124010022042421002softwoodFALSE01.000fireharvest
4tsa24_clipped124020001002402000softwoodFALSE01.000firefire
5tsa24_clipped124020022042402002softwoodFALSE01.000firefire
6tsa24_clipped124030001002403000softwoodFALSE01.000firefire
7tsa24_clipped124030022042403002softwoodFALSE01.000firefire
8tsa24_clipped124030022042423002softwoodFALSE01.000fireharvest
9tsa24_clipped124020001002422000softwoodFALSE01.000fireharvest
10tsa24_clipped124020022042422002softwoodFALSE01.000fireharvest
11tsa24_clipped124030001002423000softwoodFALSE01.000fireharvest
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" ], "text/plain": [ " theme0 theme1 theme2 theme3 theme4 species using_age_class \\\n", "0 tsa24_clipped 0 2401000 100 2401000 softwood FALSE \n", "1 tsa24_clipped 0 2402005 1201 2402005 hardwood FALSE \n", "2 tsa24_clipped 1 2401002 204 2401002 softwood FALSE \n", "3 tsa24_clipped 1 2401002 204 2421002 softwood FALSE \n", "4 tsa24_clipped 1 2402000 100 2402000 softwood FALSE \n", "5 tsa24_clipped 1 2402002 204 2402002 softwood FALSE \n", "6 tsa24_clipped 1 2403000 100 2403000 softwood FALSE \n", "7 tsa24_clipped 1 2403002 204 2403002 softwood FALSE \n", "8 tsa24_clipped 1 2403002 204 2423002 softwood FALSE \n", "9 tsa24_clipped 1 2402000 100 2422000 softwood FALSE \n", "10 tsa24_clipped 1 2402002 204 2422002 softwood FALSE \n", "11 tsa24_clipped 1 2403000 100 2423000 softwood FALSE \n", "\n", " age area delay landclass historic_disturbance last_pass_disturbance \n", "0 0 1.0 0 0 fire fire \n", "1 0 1.0 0 0 fire fire \n", "2 0 1.0 0 0 fire fire \n", "3 0 1.0 0 0 fire harvest \n", "4 0 1.0 0 0 fire fire \n", "5 0 1.0 0 0 fire fire \n", "6 0 1.0 0 0 fire fire \n", "7 0 1.0 0 0 fire fire \n", "8 0 1.0 0 0 fire harvest \n", "9 0 1.0 0 0 fire harvest \n", "10 0 1.0 0 0 fire harvest \n", "11 0 1.0 0 0 fire harvest " ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data = []\n", "for dtype_key in fm.dtypes:\n", " dt = fm.dt(dtype_key)\n", " values = list(dtype_key) \n", " values += [dt.leading_species, \"FALSE\", 0, 1., 0, 0, \"fire\", \"fire\" if dtype_key[2] == dtype_key[4] else \"harvest\"]\n", " data.append(dict(zip(df.columns, values)))\n", "sit_tables[\"sit_inventory\"] = pd.DataFrame(data)\n", "sit_tables[\"sit_inventory\"]\n" ] }, { "cell_type": "markdown", "id": "52f55155", "metadata": {}, "source": [ "## Run ``CBM`` using built-in ``ws3`` functions" ] }, { "cell_type": "markdown", "id": "a4b17578-31d0-4e55-9f14-fe2d19057248", "metadata": { "tags": [] }, "source": [ "Now we run this thruogh `libcbm` for 300 time steps." ] }, { "cell_type": "code", "execution_count": 25, "id": "85841c7f-a9a1-4421-8a27-0b8be7565562", "metadata": { "tags": [] }, "outputs": [], "source": [ "disturbance_type_mapping = [{\"user_dist_type\": \"harvest\", \"default_dist_type\": \"Clearcut harvesting without salvage\"},\n", " {\"user_dist_type\": \"fire\", \"default_dist_type\": \"Wildfire\"}]\n" ] }, { "cell_type": "code", "execution_count": 26, "id": "4c2b2f7d-3105-442e-90e9-d3ae048fb51d", "metadata": { "tags": [] }, "outputs": [], "source": [ "for dtype_key in fm.dtypes:\n", " fm.dt(dtype_key).last_pass_disturbance = \"fire\" if dtype_key[2] == dtype_key[4] else \"harvest\"\n" ] }, { "cell_type": "code", "execution_count": 27, "id": "b755ec13-17b1-46e4-b0f1-29aab64e9053", "metadata": { "tags": [] }, "outputs": [], "source": [ "from util import run_cbm" ] }, { "cell_type": "code", "execution_count": 28, "id": "c9a6c266-6887-4721-ae03-a340c8377c5f", "metadata": { "tags": [] }, "outputs": [], "source": [ "n_steps = 300\n", "cbm_output = run_cbm(sit_config, sit_tables, n_steps, plot=False)" ] }, { "cell_type": "code", "execution_count": 29, "id": "baae324a-4629-4bf3-80ac-56853ddc596c", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cbm_output" ] }, { "cell_type": "code", "execution_count": 30, "id": "9462626d-d9c5-43b4-ac96-06de3e6c9b84", "metadata": { "tags": [] }, "outputs": [], "source": [ "pi = cbm_output.classifiers.to_pandas().merge(cbm_output.pools.to_pandas(), \n", " left_on=[\"identifier\", \"timestep\"], \n", " right_on=[\"identifier\", \"timestep\"])\n", "fi = cbm_output.classifiers.to_pandas().merge(cbm_output.flux.to_pandas(), \n", " left_on=[\"identifier\", \"timestep\"], \n", " right_on=[\"identifier\", \"timestep\"])" ] }, { "cell_type": "code", "execution_count": 31, "id": "ac19bb83-9884-47cd-a587-77b93f6e4691", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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identifiertimesteptheme0theme1theme2theme3theme4speciesInputSoftwoodMerch...BelowGroundSlowSoilSoftwoodStemSnagSoftwoodBranchSnagHardwoodStemSnagHardwoodBranchSnagCO2CH4CONO2Products
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450tsa24_clipped124020001002402000softwood1.00.000000...78.41561947.91373422.4042960.0000000.0000006182.0508336.06094354.5468270.00.000000
..................................................................
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36089300tsa24_clipped124030022042423002softwood1.092.723531...118.4714509.8510962.2701040.0000000.0000009070.4826937.59770768.3775860.079.633546
360910300tsa24_clipped124020001002422000softwood1.074.795270...87.5284987.7859732.0658190.0000000.0000006201.9809055.59999550.3985160.048.597173
361011300tsa24_clipped124020022042422002softwood1.066.253514...93.7525066.9904601.9704350.0000000.0000006923.6261786.06378254.5725060.053.757580
361112300tsa24_clipped124030001002423000softwood1.093.686522...106.6823839.8549802.2808760.0000000.0000007881.3898046.77925561.0116510.068.419040
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3612 rows \u00d7 35 columns

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" ], "text/plain": [ " identifier timestep theme0 theme1 theme2 theme3 theme4 \\\n", "0 1 0 tsa24_clipped 0 2401000 100 2401000 \n", "1 2 0 tsa24_clipped 0 2402005 1201 2402005 \n", "2 3 0 tsa24_clipped 1 2401002 204 2401002 \n", "3 4 0 tsa24_clipped 1 2401002 204 2421002 \n", "4 5 0 tsa24_clipped 1 2402000 100 2402000 \n", "... ... ... ... ... ... ... ... \n", "3607 8 300 tsa24_clipped 1 2403002 204 2403002 \n", "3608 9 300 tsa24_clipped 1 2403002 204 2423002 \n", "3609 10 300 tsa24_clipped 1 2402000 100 2422000 \n", "3610 11 300 tsa24_clipped 1 2402002 204 2422002 \n", "3611 12 300 tsa24_clipped 1 2403000 100 2423000 \n", "\n", " species Input SoftwoodMerch ... BelowGroundSlowSoil \\\n", "0 softwood 1.0 0.000000 ... 61.072161 \n", "1 hardwood 1.0 0.000000 ... 114.491754 \n", "2 softwood 1.0 0.000000 ... 70.577311 \n", "3 softwood 1.0 0.000000 ... 56.591833 \n", "4 softwood 1.0 0.000000 ... 78.415619 \n", "... ... ... ... ... ... \n", "3607 softwood 1.0 63.042997 ... 110.566427 \n", "3608 softwood 1.0 92.723531 ... 118.471450 \n", "3609 softwood 1.0 74.795270 ... 87.528498 \n", "3610 softwood 1.0 66.253514 ... 93.752506 \n", "3611 softwood 1.0 93.686522 ... 106.682383 \n", "\n", " SoftwoodStemSnag SoftwoodBranchSnag HardwoodStemSnag \\\n", "0 28.616202 19.461734 0.000000 \n", "1 0.000000 0.000000 65.448939 \n", "2 38.209170 20.940326 0.000000 \n", "3 0.000000 0.000000 0.000000 \n", "4 47.913734 22.404296 0.000000 \n", "... ... ... ... \n", "3607 10.465389 1.954894 0.000000 \n", "3608 9.851096 2.270104 0.000000 \n", "3609 7.785973 2.065819 0.000000 \n", "3610 6.990460 1.970435 0.000000 \n", "3611 9.854980 2.280876 0.000000 \n", "\n", " HardwoodBranchSnag CO2 CH4 CO NO2 Products \n", "0 0.000000 4790.526504 4.942348 44.479699 0.0 0.000000 \n", "1 18.985542 9638.462743 8.550696 76.954017 0.0 0.000000 \n", "2 0.000000 5549.131806 5.574412 50.168153 0.0 0.000000 \n", "3 0.000000 4504.469208 4.878363 43.903950 0.0 34.110922 \n", "4 0.000000 6182.050833 6.060943 54.546827 0.0 0.000000 \n", "... ... ... ... ... ... ... \n", "3607 0.000000 9088.654777 7.694727 69.250637 0.0 0.000000 \n", "3608 0.000000 9070.482693 7.597707 68.377586 0.0 79.633546 \n", "3609 0.000000 6201.980905 5.599995 50.398516 0.0 48.597173 \n", "3610 0.000000 6923.626178 6.063782 54.572506 0.0 53.757580 \n", "3611 0.000000 7881.389804 6.779255 61.011651 0.0 68.419040 \n", "\n", "[3612 rows x 35 columns]" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pi" ] }, { "cell_type": "code", "execution_count": 32, "id": "787931b1-efe8-4d24-870a-7b6c1caa7426", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "Index(['identifier', 'timestep', 'theme0', 'theme1', 'theme2', 'theme3',\n", " 'theme4', 'species', 'Input', 'SoftwoodMerch', 'SoftwoodFoliage',\n", " 'SoftwoodOther', 'SoftwoodCoarseRoots', 'SoftwoodFineRoots',\n", " 'HardwoodMerch', 'HardwoodFoliage', 'HardwoodOther',\n", " 'HardwoodCoarseRoots', 'HardwoodFineRoots', 'AboveGroundVeryFastSoil',\n", " 'BelowGroundVeryFastSoil', 'AboveGroundFastSoil', 'BelowGroundFastSoil',\n", " 'MediumSoil', 'AboveGroundSlowSoil', 'BelowGroundSlowSoil',\n", " 'SoftwoodStemSnag', 'SoftwoodBranchSnag', 'HardwoodStemSnag',\n", " 'HardwoodBranchSnag', 'CO2', 'CH4', 'CO', 'NO2', 'Products'],\n", " dtype='object')" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pi.columns" ] }, { "cell_type": "code", "execution_count": 33, "id": "029476ea-5843-41e7-8fa4-230606fe7721", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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450tsa24_clipped124020001002402000softwood0.00.0...0.00.00.00.00.00.00.00.00.00.0
..................................................................
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3612 rows \u00d7 60 columns

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" ], "text/plain": [ " identifier timestep theme0 theme1 theme2 theme3 theme4 \\\n", "0 1 0 tsa24_clipped 0 2401000 100 2401000 \n", "1 2 0 tsa24_clipped 0 2402005 1201 2402005 \n", "2 3 0 tsa24_clipped 1 2401002 204 2401002 \n", "3 4 0 tsa24_clipped 1 2401002 204 2421002 \n", "4 5 0 tsa24_clipped 1 2402000 100 2402000 \n", "... ... ... ... ... ... ... ... \n", "3607 8 300 tsa24_clipped 1 2403002 204 2403002 \n", "3608 9 300 tsa24_clipped 1 2403002 204 2423002 \n", "3609 10 300 tsa24_clipped 1 2402000 100 2422000 \n", "3610 11 300 tsa24_clipped 1 2402002 204 2422002 \n", "3611 12 300 tsa24_clipped 1 2403000 100 2423000 \n", "\n", " species DisturbanceCO2Production DisturbanceCH4Production ... \\\n", "0 softwood 0.0 0.0 ... \n", "1 hardwood 0.0 0.0 ... \n", "2 softwood 0.0 0.0 ... \n", "3 softwood 0.0 0.0 ... \n", "4 softwood 0.0 0.0 ... \n", "... ... ... ... ... \n", "3607 softwood 0.0 0.0 ... \n", "3608 softwood 0.0 0.0 ... \n", "3609 softwood 0.0 0.0 ... \n", "3610 softwood 0.0 0.0 ... \n", "3611 softwood 0.0 0.0 ... \n", "\n", " DisturbanceVFastBGToAir DisturbanceFastAGToAir DisturbanceFastBGToAir \\\n", "0 0.0 0.0 0.0 \n", "1 0.0 0.0 0.0 \n", "2 0.0 0.0 0.0 \n", "3 0.0 0.0 0.0 \n", "4 0.0 0.0 0.0 \n", "... ... ... ... \n", "3607 0.0 0.0 0.0 \n", "3608 0.0 0.0 0.0 \n", "3609 0.0 0.0 0.0 \n", "3610 0.0 0.0 0.0 \n", "3611 0.0 0.0 0.0 \n", "\n", " DisturbanceMediumToAir DisturbanceSlowAGToAir DisturbanceSlowBGToAir \\\n", "0 0.0 0.0 0.0 \n", "1 0.0 0.0 0.0 \n", "2 0.0 0.0 0.0 \n", "3 0.0 0.0 0.0 \n", "4 0.0 0.0 0.0 \n", "... ... ... ... \n", "3607 0.0 0.0 0.0 \n", "3608 0.0 0.0 0.0 \n", "3609 0.0 0.0 0.0 \n", "3610 0.0 0.0 0.0 \n", "3611 0.0 0.0 0.0 \n", "\n", " DisturbanceSWStemSnagToAir DisturbanceSWBranchSnagToAir \\\n", "0 0.0 0.0 \n", "1 0.0 0.0 \n", "2 0.0 0.0 \n", "3 0.0 0.0 \n", "4 0.0 0.0 \n", "... ... ... \n", "3607 0.0 0.0 \n", "3608 0.0 0.0 \n", "3609 0.0 0.0 \n", "3610 0.0 0.0 \n", "3611 0.0 0.0 \n", "\n", " DisturbanceHWStemSnagToAir DisturbanceHWBranchSnagToAir \n", "0 0.0 0.0 \n", "1 0.0 0.0 \n", "2 0.0 0.0 \n", "3 0.0 0.0 \n", "4 0.0 0.0 \n", "... ... ... \n", "3607 0.0 0.0 \n", "3608 0.0 0.0 \n", "3609 0.0 0.0 \n", "3610 0.0 0.0 \n", "3611 0.0 0.0 \n", "\n", "[3612 rows x 60 columns]" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fi" ] }, { "cell_type": "code", "execution_count": 34, "id": "f0900526-72d8-4175-af7c-0893d99de60f", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "Index(['identifier', 'timestep', 'theme0', 'theme1', 'theme2', 'theme3',\n", " 'theme4', 'species', 'DisturbanceCO2Production',\n", " 'DisturbanceCH4Production', 'DisturbanceCOProduction',\n", " 'DisturbanceBioCO2Emission', 'DisturbanceBioCH4Emission',\n", " 'DisturbanceBioCOEmission', 'DecayDOMCO2Emission',\n", " 'DisturbanceSoftProduction', 'DisturbanceHardProduction',\n", " 'DisturbanceDOMProduction', 'DeltaBiomass_AG', 'DeltaBiomass_BG',\n", " 'TurnoverMerchLitterInput', 'TurnoverFolLitterInput',\n", " 'TurnoverOthLitterInput', 'TurnoverCoarseLitterInput',\n", " 'TurnoverFineLitterInput', 'DecayVFastAGToAir', 'DecayVFastBGToAir',\n", " 'DecayFastAGToAir', 'DecayFastBGToAir', 'DecayMediumToAir',\n", " 'DecaySlowAGToAir', 'DecaySlowBGToAir', 'DecaySWStemSnagToAir',\n", " 'DecaySWBranchSnagToAir', 'DecayHWStemSnagToAir',\n", " 'DecayHWBranchSnagToAir', 'DisturbanceMerchToAir',\n", " 'DisturbanceFolToAir', 'DisturbanceOthToAir', 'DisturbanceCoarseToAir',\n", " 'DisturbanceFineToAir', 'DisturbanceDOMCO2Emission',\n", " 'DisturbanceDOMCH4Emission', 'DisturbanceDOMCOEmission',\n", " 'DisturbanceMerchLitterInput', 'DisturbanceFolLitterInput',\n", " 'DisturbanceOthLitterInput', 'DisturbanceCoarseLitterInput',\n", " 'DisturbanceFineLitterInput', 'DisturbanceVFastAGToAir',\n", " 'DisturbanceVFastBGToAir', 'DisturbanceFastAGToAir',\n", " 'DisturbanceFastBGToAir', 'DisturbanceMediumToAir',\n", " 'DisturbanceSlowAGToAir', 'DisturbanceSlowBGToAir',\n", " 'DisturbanceSWStemSnagToAir', 'DisturbanceSWBranchSnagToAir',\n", " 'DisturbanceHWStemSnagToAir', 'DisturbanceHWBranchSnagToAir'],\n", " dtype='object')" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fi.columns" ] }, { "cell_type": "markdown", "id": "249721b7", "metadata": {}, "source": [ "## Import ``CBM`` output back into ``ws3`` (as carbon yield curves)" ] }, { "cell_type": "markdown", "id": "f0f9690b-3197-4f27-8ff2-b35fd0987cbb", "metadata": {}, "source": [ "Now we just need to recompile this data into yield curves and stuff them back into our `ForestModel` instance." ] }, { "cell_type": "code", "execution_count": 35, "id": "d40c951e-f41a-4f85-8234-6d6b60d563d1", "metadata": { "tags": [] }, "outputs": [], "source": [ "biomass_pools = [\"SoftwoodMerch\",\"SoftwoodFoliage\", \"SoftwoodOther\", \"SoftwoodCoarseRoots\",\"SoftwoodFineRoots\",\n", " \"HardwoodMerch\", \"HardwoodFoliage\", \"HardwoodOther\", \"HardwoodCoarseRoots\", \"HardwoodFineRoots\"]\n", "dom_pools = [\"AboveGroundVeryFastSoil\", \"BelowGroundVeryFastSoil\", \"AboveGroundFastSoil\", \"BelowGroundFastSoil\",\n", " \"MediumSoil\", \"AboveGroundSlowSoil\", \"BelowGroundSlowSoil\", \"SoftwoodStemSnag\", \"SoftwoodBranchSnag\",\n", " \"HardwoodStemSnag\", \"HardwoodBranchSnag\"]\n", "emissions_pools = [\"CO2\", \"CH4\", \"CO\", \"NO2\"]\n", "products_pools = [\"Products\"]\n", "ecosystem_pools = biomass_pools + dom_pools\n", "all_pools = biomass_pools + dom_pools + emissions_pools + products_pools" ] }, { "cell_type": "code", "execution_count": 36, "id": "4fb89592-2fb2-40cf-b96d-e6b0b26784cb", "metadata": { "tags": [] }, "outputs": [], "source": [ "annual_process_fluxes = [\n", " \"DecayDOMCO2Emission\",\n", " \"DeltaBiomass_AG\",\n", " \"DeltaBiomass_BG\",\n", " \"TurnoverMerchLitterInput\",\n", " \"TurnoverFolLitterInput\",\n", " \"TurnoverOthLitterInput\",\n", " \"TurnoverCoarseLitterInput\",\n", " \"TurnoverFineLitterInput\",\n", " \"DecayVFastAGToAir\",\n", " \"DecayVFastBGToAir\",\n", " \"DecayFastAGToAir\",\n", " \"DecayFastBGToAir\",\n", " \"DecayMediumToAir\",\n", " \"DecaySlowAGToAir\",\n", " \"DecaySlowBGToAir\",\n", " \"DecaySWStemSnagToAir\",\n", " \"DecaySWBranchSnagToAir\",\n", " \"DecayHWStemSnagToAir\",\n", " \"DecayHWBranchSnagToAir\"\n", "]\n", "\n", "npp_fluxes=[\n", " \"DeltaBiomass_AG\",\n", " \"DeltaBiomass_BG\"\n", "]\n", "decay_emissions_fluxes = [\n", " \"DecayVFastAGToAir\",\n", " \"DecayVFastBGToAir\",\n", " \"DecayFastAGToAir\",\n", " \"DecayFastBGToAir\",\n", " \"DecayMediumToAir\",\n", " \"DecaySlowAGToAir\",\n", " \"DecaySlowBGToAir\",\n", " \"DecaySWStemSnagToAir\",\n", " \"DecaySWBranchSnagToAir\",\n", " \"DecayHWStemSnagToAir\",\n", " \"DecayHWBranchSnagToAir\"\n", "]\n", "\n", "disturbance_production_fluxes = [\n", " \"DisturbanceSoftProduction\",\n", " \"DisturbanceHardProduction\",\n", " \"DisturbanceDOMProduction\"\n", "]\n", "\n", "disturbance_emissions_fluxes = [\n", " \"DisturbanceMerchToAir\",\n", " \"DisturbanceFolToAir\",\n", " \"DisturbanceOthToAir\",\n", " \"DisturbanceCoarseToAir\",\n", " \"DisturbanceFineToAir\",\n", " \"DisturbanceVFastAGToAir\",\n", " \"DisturbanceVFastBGToAir\",\n", " \"DisturbanceFastAGToAir\",\n", " \"DisturbanceFastBGToAir\",\n", " \"DisturbanceMediumToAir\",\n", " \"DisturbanceSlowAGToAir\",\n", " \"DisturbanceSlowBGToAir\",\n", " \"DisturbanceSWStemSnagToAir\",\n", " \"DisturbanceSWBranchSnagToAir\",\n", " \"DisturbanceHWStemSnagToAir\",\n", " \"DisturbanceHWBranchSnagToAir\"\n", "]\n", "\n", "all_fluxes = [\n", " \"DisturbanceCO2Production\",\n", " \"DisturbanceCH4Production\",\n", " \"DisturbanceCOProduction\",\n", " \"DisturbanceBioCO2Emission\",\n", " \"DisturbanceBioCH4Emission\",\n", " \"DisturbanceBioCOEmission\",\n", " \"DecayDOMCO2Emission\",\n", " \"DisturbanceSoftProduction\",\n", " \"DisturbanceHardProduction\",\n", " \"DisturbanceDOMProduction\",\n", " \"DeltaBiomass_AG\",\n", " \"DeltaBiomass_BG\",\n", " \"TurnoverMerchLitterInput\",\n", " \"TurnoverFolLitterInput\",\n", " \"TurnoverOthLitterInput\",\n", " \"TurnoverCoarseLitterInput\",\n", " \"TurnoverFineLitterInput\",\n", " \"DecayVFastAGToAir\",\n", " \"DecayVFastBGToAir\",\n", " \"DecayFastAGToAir\",\n", " \"DecayFastBGToAir\",\n", " \"DecayMediumToAir\",\n", " \"DecaySlowAGToAir\",\n", " \"DecaySlowBGToAir\",\n", " \"DecaySWStemSnagToAir\",\n", " \"DecaySWBranchSnagToAir\",\n", " \"DecayHWStemSnagToAir\",\n", " \"DecayHWBranchSnagToAir\",\n", " \"DisturbanceMerchToAir\",\n", " \"DisturbanceFolToAir\",\n", " \"DisturbanceOthToAir\",\n", " \"DisturbanceCoarseToAir\",\n", " \"DisturbanceFineToAir\",\n", " \"DisturbanceDOMCO2Emission\",\n", " \"DisturbanceDOMCH4Emission\",\n", " \"DisturbanceDOMCOEmission\",\n", " \"DisturbanceMerchLitterInput\",\n", " \"DisturbanceFolLitterInput\",\n", " \"DisturbanceOthLitterInput\",\n", " \"DisturbanceCoarseLitterInput\",\n", " \"DisturbanceFineLitterInput\",\n", " \"DisturbanceVFastAGToAir\",\n", " \"DisturbanceVFastBGToAir\",\n", " \"DisturbanceFastAGToAir\",\n", " \"DisturbanceFastBGToAir\",\n", " \"DisturbanceMediumToAir\",\n", " \"DisturbanceSlowAGToAir\",\n", " \"DisturbanceSlowBGToAir\",\n", " \"DisturbanceSWStemSnagToAir\",\n", " \"DisturbanceSWBranchSnagToAir\",\n", " \"DisturbanceHWStemSnagToAir\",\n", " \"DisturbanceHWBranchSnagToAir\"\n", "]" ] }, { "cell_type": "code", "execution_count": 37, "id": "2b6ba5ae-dc84-4264-855d-167b5bbfeaba", "metadata": { "tags": [] }, "outputs": [], "source": [ "pi[\"dtype_key\"] = pi.apply(lambda r: \"%s %s %s %s %s\" % (r[\"theme0\"], r[\"theme1\"], r[\"theme2\"], r[\"theme3\"], r[\"theme4\"]), axis=1)\n", "fi[\"dtype_key\"] = fi.apply(lambda r: \"%s %s %s %s %s\" % (r[\"theme0\"], r[\"theme1\"], r[\"theme2\"], r[\"theme3\"], r[\"theme4\"]), axis=1)\n" ] }, { "cell_type": "code", "execution_count": 38, "id": "435a4664-168d-4594-99d7-f68c1a8a05c7", "metadata": { "tags": [] }, "outputs": [], "source": [ "pi_gb_sum = pi.groupby([\"dtype_key\", \"timestep\"], as_index=True)[all_pools].sum()\n", "fi_gb_sum = fi.groupby([\"dtype_key\", \"timestep\"], as_index=True)[all_fluxes].sum()\n" ] }, { "cell_type": "markdown", "id": "89d0bebd-ac56-4a8d-894b-227e72d2a6bc", "metadata": {}, "source": [ "Reformatted this way, we essentially have carbon yield curves now." ] }, { "cell_type": "code", "execution_count": 39, "id": "f34d2aab-8910-4b5e-a9c9-6ffae535bf25", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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3612 rows \u00d7 26 columns

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" ], "text/plain": [ " SoftwoodMerch SoftwoodFoliage \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.000000 0.000000 \n", " 1 0.000036 0.132721 \n", " 2 0.000305 0.370208 \n", " 3 0.001061 0.611266 \n", " 4 0.002569 0.774699 \n", "... ... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 92.723531 8.635211 \n", " 297 92.723531 8.635211 \n", " 298 92.723531 8.635211 \n", " 299 92.723531 8.635211 \n", " 300 92.723531 8.635211 \n", "\n", " SoftwoodOther \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.000000 \n", " 1 0.000000 \n", " 2 0.000000 \n", " 3 0.061592 \n", " 4 0.251065 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 32.241928 \n", " 297 32.241928 \n", " 298 32.241928 \n", " 299 32.241928 \n", " 300 32.241928 \n", "\n", " SoftwoodCoarseRoots \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.000000 \n", " 1 0.016954 \n", " 2 0.047501 \n", " 3 0.086822 \n", " 4 0.133230 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 27.228756 \n", " 297 27.228756 \n", " 298 27.228756 \n", " 299 27.228756 \n", " 300 27.228756 \n", "\n", " SoftwoodFineRoots \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.000000 \n", " 1 0.012518 \n", " 2 0.034753 \n", " 3 0.062788 \n", " 4 0.095060 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 2.430592 \n", " 297 2.430592 \n", " 298 2.430592 \n", " 299 2.430592 \n", " 300 2.430592 \n", "\n", " HardwoodMerch HardwoodFoliage \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 0.0 \n", " 1 0.0 0.0 \n", " 2 0.0 0.0 \n", " 3 0.0 0.0 \n", " 4 0.0 0.0 \n", "... ... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 0.0 \n", " 297 0.0 0.0 \n", " 298 0.0 0.0 \n", " 299 0.0 0.0 \n", " 300 0.0 0.0 \n", "\n", " HardwoodOther \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " HardwoodCoarseRoots \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " HardwoodFineRoots ... \\\n", "dtype_key timestep ... \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 ... \n", " 1 0.0 ... \n", " 2 0.0 ... \n", " 3 0.0 ... \n", " 4 0.0 ... \n", "... ... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 ... \n", " 297 0.0 ... \n", " 298 0.0 ... \n", " 299 0.0 ... \n", " 300 0.0 ... \n", "\n", " BelowGroundSlowSoil \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 61.072161 \n", " 1 61.121090 \n", " 2 61.131684 \n", " 3 61.114167 \n", " 4 61.076059 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 118.137520 \n", " 297 118.221284 \n", " 298 118.304861 \n", " 299 118.388250 \n", " 300 118.471450 \n", "\n", " SoftwoodStemSnag \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 28.616202 \n", " 1 27.409295 \n", " 2 26.253292 \n", " 3 25.146046 \n", " 4 24.085504 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 9.862722 \n", " 297 9.859625 \n", " 298 9.856659 \n", " 299 9.853818 \n", " 300 9.851096 \n", "\n", " SoftwoodBranchSnag \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 19.461734 \n", " 1 16.809097 \n", " 2 14.518014 \n", " 3 12.539502 \n", " 4 10.831866 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 2.270108 \n", " 297 2.270107 \n", " 298 2.270106 \n", " 299 2.270105 \n", " 300 2.270104 \n", "\n", " HardwoodStemSnag \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " HardwoodBranchSnag CO2 \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 4790.526504 \n", " 1 0.0 4793.580328 \n", " 2 0.0 4796.408697 \n", " 3 0.0 4799.057094 \n", " 4 0.0 4801.559391 \n", "... ... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 9052.158176 \n", " 297 0.0 9056.738888 \n", " 298 0.0 9061.319879 \n", " 299 0.0 9065.901147 \n", " 300 0.0 9070.482693 \n", "\n", " CH4 CO NO2 \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 4.942348 44.479699 0.0 \n", " 1 4.942348 44.479699 0.0 \n", " 2 4.942348 44.479699 0.0 \n", " 3 4.942348 44.479699 0.0 \n", " 4 4.942348 44.479699 0.0 \n", "... ... ... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 7.597707 68.377586 0.0 \n", " 297 7.597707 68.377586 0.0 \n", " 298 7.597707 68.377586 0.0 \n", " 299 7.597707 68.377586 0.0 \n", " 300 7.597707 68.377586 0.0 \n", "\n", " Products \n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.000000 \n", " 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DisturbanceCO2ProductionDisturbanceCH4ProductionDisturbanceCOProductionDisturbanceBioCO2EmissionDisturbanceBioCH4EmissionDisturbanceBioCOEmissionDecayDOMCO2EmissionDisturbanceSoftProductionDisturbanceHardProductionDisturbanceDOMProduction...DisturbanceVFastBGToAirDisturbanceFastAGToAirDisturbanceFastBGToAirDisturbanceMediumToAirDisturbanceSlowAGToAirDisturbanceSlowBGToAirDisturbanceSWStemSnagToAirDisturbanceSWBranchSnagToAirDisturbanceHWStemSnagToAirDisturbanceHWBranchSnagToAir
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3612 rows \u00d7 52 columns

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" ], "text/plain": [ " DisturbanceCO2Production \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceCH4Production \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceCOProduction \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceBioCO2Emission \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceBioCH4Emission \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceBioCOEmission \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DecayDOMCO2Emission \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.000000 \n", " 1 3.053824 \n", " 2 2.828369 \n", " 3 2.648398 \n", " 4 2.502297 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 4.580435 \n", " 297 4.580713 \n", " 298 4.580990 \n", " 299 4.581268 \n", " 300 4.581546 \n", "\n", " DisturbanceSoftProduction \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceHardProduction \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceDOMProduction ... \\\n", "dtype_key timestep ... \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 ... \n", " 1 0.0 ... \n", " 2 0.0 ... \n", " 3 0.0 ... \n", " 4 0.0 ... \n", "... ... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 ... \n", " 297 0.0 ... \n", " 298 0.0 ... \n", " 299 0.0 ... \n", " 300 0.0 ... \n", "\n", " DisturbanceVFastBGToAir \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceFastAGToAir \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceFastBGToAir \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceMediumToAir \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceSlowAGToAir \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceSlowBGToAir \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceSWStemSnagToAir \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceSWBranchSnagToAir \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceHWStemSnagToAir \\\n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", " DisturbanceHWBranchSnagToAir \n", "dtype_key timestep \n", "tsa24_clipped 0 2401000 100 2401000 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", " 4 0.0 \n", "... ... \n", "tsa24_clipped 1 2403002 204 2423002 296 0.0 \n", " 297 0.0 \n", " 298 0.0 \n", " 299 0.0 \n", " 300 0.0 \n", "\n", "[3612 rows x 52 columns]" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fi_gb_sum" ] }, { "cell_type": "markdown", "id": "ba43ccbc-df5d-4d8a-bb86-f7ca1fb6c784", "metadata": {}, "source": [ "Add carbon yield curves to our model." ] }, { "cell_type": "code", "execution_count": 41, "id": "77140788-b7e4-448a-9ab4-ce4e78c8616e", "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "found match for mask ('?', '?', '2401000', '?', '2401000')\n", "found match for mask ('?', '?', '2401000', '?', '2401000')\n", "found match for mask ('?', '?', '2402005', '?', '2402005')\n", "found match for mask ('?', '?', '2402005', '?', '2402005')\n", "found match for mask ('?', '?', '2401002', '?', '2401002')\n", "found match for mask ('?', '?', '2401002', '?', '2421002')\n", "found match for mask ('?', '?', '2402000', '?', '2402000')\n", "found match for mask ('?', '?', '2402002', '?', '2402002')\n", "found match for mask ('?', '?', '2403000', '?', '2403000')\n", "found match for mask ('?', '?', '2403002', '?', '2403002')\n", "found match for mask ('?', '?', '2403002', '?', '2423002')\n", "found match for mask ('?', '?', '2402000', '?', '2422000')\n", "found match for mask ('?', '?', '2402002', '?', '2422002')\n", "found match for mask ('?', '?', '2403000', '?', '2423000')\n" ] } ], "source": [ "for dtype_key in fm.dtypes:\n", " dt = fm.dt(dtype_key)\n", " mask = (\"?\", \"?\", dtype_key[2], \"?\", dtype_key[4])\n", " for _mask, ytype, curves in fm.yields:\n", " if _mask != mask: continue # we know there will be a match so this works\n", " print(\"found match for mask\", mask)\n", " pool_data = pi_gb_sum.loc[\" \".join(dtype_key)]\n", " for yname in all_pools:\n", " points = list(zip(pool_data.index.values, pool_data[yname]))\n", " curve = fm.register_curve(ws3.core.Curve(yname, \n", " points=points, \n", " type=\"a\",\n", " is_volume=False,\n", " xmax=fm.max_age,\n", " period_length=fm.period_length))\n", " curves.append((yname, curve))\n", " dt.add_ycomp(\"a\", yname, curve)\n", " flux_data = fi_gb_sum.loc[\" \".join(dtype_key)]\n", " for yname in all_fluxes:\n", " points = list(zip(flux_data.index.values, flux_data[yname]))\n", " curve = fm.register_curve(ws3.core.Curve(yname, \n", " points=points, \n", " type=\"a\",\n", " is_volume=False,\n", " xmax=fm.max_age,\n", " period_length=fm.period_length))\n", " curves.append((yname, curve))\n", " dt.add_ycomp(\"a\", yname, curve)" ] }, { "cell_type": "code", "execution_count": 42, "id": "def9223d-adf0-4058-9f97-4c97f734a43b", "metadata": { "tags": [] }, "outputs": [], "source": [ "fm.reset()" ] }, { "cell_type": "code", "execution_count": 43, "id": "f1c33a6b-1706-49bf-9334-6c4dfbcb8d49", "metadata": { "tags": [] }, "outputs": [], "source": [ "fm.grow()" ] }, { "cell_type": "code", "execution_count": 44, "id": "df62cf3e-f648-41bd-9289-e7a6bb8c12d6", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "for pool in ecosystem_pools: \n", " x, y = fm.periods, [fm.inventory(p, pool) for p in fm.periods]\n", " plt.plot(x, y, label=pool)\n", "plt.legend(bbox_to_anchor=(1, 1))" ] }, { "cell_type": "code", "execution_count": 45, "id": "972a8d08-6e48-4a89-acb5-a21a30af7a75", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "for flux in annual_process_fluxes:\n", " x, y = fm.periods, [fm.inventory(p, flux) for p in fm.periods]\n", " plt.plot(x, y, label=flux)\n", "plt.legend(bbox_to_anchor=(1, 1))" ] }, { "cell_type": "markdown", "id": "1d8b5ba2-9bf1-4779-b1cf-0c740893ca9c", "metadata": {}, "source": [ "Not the most pretty or informative plots, but the point is that we are new tracking 26 new carbon pools and 52 new carbon fluxes in our model. \n", "\n", "Bam!\n", "\n", "To make this more useful in a production model, we would likely also want to define some complex yields that aggregate groups of pools and fluxes, and then use these aggregate indicators either as part of the objective function or constraints of an optimization model (i.e., to include carbon in management strategy) or simply as an output indicator (i.e., for reporting on scenario performance without directly influencing the management strategy). " ] }, { "cell_type": "markdown", "id": "9f803d6b-4b01-4592-9dd1-8296a1191a04", "metadata": { "tags": [] }, "source": [ "## Compare embedded carbon anticipation function to original CBM model\n", "\n", "The new `ws3` embedded carbon anticipation function is a simplified version of the original CBM model, so we expect it will produce highly correlated but somewhat offset results from the original `libcbm` model.\n", "\n", "We can verify this by comparing carbon output from both models side-by-side.\n", "\n", "We start by defining a utility function that runs `libcbm`, compiles `libcbm` and `ws3` carbon pool and flux data into analogous tables, and plots results." ] }, { "cell_type": "code", "execution_count": 46, "id": "82bcea3a-c6a4-4dec-a892-0ec61dfdf6cc", "metadata": { "tags": [] }, "outputs": [], "source": [ "def compare_ws3_cbm(pools=biomass_pools, fluxes=annual_process_fluxes, \n", " cbm_x_shift=False, \n", " ws3_pool_coeff=1., ws3_flux_coeff=1.,\n", " ws3_pool_const=0., ws3_flux_const=0.):\n", " sit_config, sit_tables = fm.to_cbm_sit(softwood_volume_yname=\"swdvol\",\n", " hardwood_volume_yname=\"hwdvol\",\n", " admin_boundary=\"British Columbia\",\n", " eco_boundary=\"Montane Cordillera\",\n", " disturbance_type_mapping=disturbance_type_mapping)\n", " n_steps = 100\n", " cbm_output = run_cbm(sit_config, sit_tables, n_steps, plot=False)\n", " pi = cbm_output.classifiers.to_pandas().merge(cbm_output.pools.to_pandas(), \n", " left_on=[\"identifier\", \"timestep\"], \n", " right_on=[\"identifier\", \"timestep\"])\n", " fi = cbm_output.classifiers.to_pandas().merge(cbm_output.flux.to_pandas(), \n", " left_on=[\"identifier\", \"timestep\"], \n", " right_on=[\"identifier\", \"timestep\"])\n", " if cbm_x_shift:\n", " df_cbm = pd.DataFrame({\"period\":pi[\"timestep\"] * 0.1,\n", " \"pool\":pi[pools].sum(axis=1),\n", " \"flux\":fi[fluxes].sum(axis=1)}).groupby(\"period\").sum().iloc[1::10, :].reset_index()\n", " df_cbm[\"period\"] = (df_cbm[\"period\"] - 0.1 + 1.0).astype(int)\n", " else:\n", " df_cbm = pd.DataFrame({\"period\":pi[\"timestep\"] * 0.1,\n", " \"pool\":pi[pools].sum(axis=1),\n", " \"flux\":fi[fluxes].sum(axis=1)}).groupby(\"period\").sum().iloc[10::10, :].reset_index()\n", " df_cbm[\"period\"] = (df_cbm[\"period\"]).astype(int)\n", "\n", " df_ws3 = pd.DataFrame({\"period\":fm.periods,\n", " \"pool\":[sum(fm.inventory(period, pool) for pool in pools) for period in fm.periods],\n", " \"flux\":[sum(fm.inventory(period, flux) for flux in fluxes) for period in fm.periods],\n", " \"ha\":[fm.compile_product(period, \"1.\", acode=\"harvest\") for period in fm.periods]})\n", " fix, ax = plt.subplots(2, 1, figsize=(6, 8), sharex=True)\n", " ax[0].plot(df_cbm[\"period\"], df_cbm[\"pool\"], label=\"cbm pool\")\n", " ax[0].plot(df_ws3[\"period\"], df_ws3[\"pool\"] * ws3_pool_coeff + ws3_pool_const, label=\"ws3 pool\")\n", " ax[1].plot(df_cbm[\"period\"], df_cbm[\"flux\"], label=\"cbm flux\")\n", " ax[1].plot(df_ws3[\"period\"], df_ws3[\"flux\"] * ws3_flux_coeff + ws3_flux_const, label=\"ws3 flux\")\n", " ax[0].legend()\n", " ax[1].legend()\n", " ax[0].set_ylim(0, None)\n", " ax[1].set_ylim(0, None)\n", " return pi, fi, df_ws3, df_cbm" ] }, { "cell_type": "markdown", "id": "a6b7a9d0-7a2b-4ae0-bc4e-001fe7480dbc", "metadata": {}, "source": [ "First we run a no-disturbance scenario (i.e., just growth). This should almost perfectly match what we ran through the CBM in the first place to create the carbon yield curves, so we expect there should be a very close match between `ws3` and `libcbm` output for both stocks and fluxes." ] }, { "cell_type": "code", "execution_count": 47, "id": "b0e762bb-8dfb-4f99-a426-9289336b76b8", "metadata": { "tags": [] }, "outputs": [], "source": [ "from util import compile_scenario, plot_scenario" ] }, { "cell_type": "code", "execution_count": 48, "id": "e8ef934d-3994-4ead-8940-cebc20928ab1", "metadata": { "tags": [] }, "outputs": [], "source": [ "fm.reset()\n", "fm.grow()" ] }, { "cell_type": "code", "execution_count": 49, "id": "43252b0d-b317-4b27-9e31-87967ec56141", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(
,\n", " array([,\n", " ,\n", " ], dtype=object))" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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7rFy50pBkPP/88zbt9913n+Hg4GB+7/j2228NScaaNWsMwzCMXbt2GZKMPn36GO3atTP369mzp3HLLbeY79evX29Isvl30qlTp3zfS7KysgwfHx+jd+/eZtvMmTMNScbKlSvNtrNnzxoBAQH5+rTniy++MJycnAwnJycjODjYGDt2rLF27VojOzs7X2zFihVtclGe8PBww9nZ2Thw4IDZduTIEaNy5crG7bffbrZNmjTJkGSsWLEiXx95OSfvs4iNjTVOnz5tdOrUyfD09DR27Nhx2XkYhmGsW7fOkGR89tln+bbl/UxMTEw029auXWtIMtzc3Gy+f7755psFfnahoaFmbnN2djYeffRRm58XF89fkjF9+vQrjvufgEvNbyDz589XfHx8vlfeGZOLXXz2I+8sUqdOnfTLL78oPT3dJtbf31+hoaE2bTfddJNatmypZcuWmW05OTn68MMPdffdd5v9x8bGysPDQ//61790/Phx8xUUFKRKlSqZv2nMOzuyatUqu2evLufEiRP68ssv1bdvX50+fdo8xp9//qnQ0FDt27fPvPxxzZo1uvXWW23OKNSoUcO8ROpKLv7czp07p+PHj5v3x2zfvj1f/KWLVqxYsUK5ubnq27evzefh4+OjRo0a2fzm9eJjZWZm6vjx42rfvr0Mw7jipT15l77nnZ26VEhIiPkbWOnCWTV3d3f98ssvdo9//vx5/fnnn2rYsKGqVKlid655x7rcZVDAtSDHWZ/j+vXrp+TkZB04cMBsW7ZsmVxcXNSrVy9JFy6ZP3r0qJ544gmb+y3DwsIUEBCg1atXF2l+V3Lx/YJOTk5q3bq1DMPQ0KFDzfYqVaqocePGNjksNjZWTZo0UUBAgM2fTd590lc60/Xnn38WmEMlaejQoTZXObVr1y7fuPLGe/G48jRt2lTx8fFauXKlxo4dq4oVK+Zb1TxP1apVdfbsWf3111+XHTNQFBkZGZJk98knnTt3Vo0aNczX/Pnz88U8/vjjNu/XrFkjJycnPfXUUzbt//73v2UYhnnJ+C233KJKlSrpq6++knThzHbepdTbt2/XX3/9JcMw9PXXX6tjx45XnEelSpX0wAMPmO+dnZ3Vtm1bm393cXFxqlWrlnk2XbqweGFhHxX4r3/9S0lJSerZs6e+++47zZgxQ6GhoapVq5bdW34ulZOToy+++ELh4eGqX7++2V6zZk3df//9+vrrr80/j48++kgtWrQwr2S62KVXVqanp6tbt27as2ePNmzYoJYtW15xLFf6jti0aVMFBweb7/POxN9xxx2qU6dOvnZ7+e2ll17SF198oXfeeUe33nqrsrOz9ffff+eL47ujLS41v4G0bdtWrVu3ztdetWrVfH+hv/nmG02ePFlJSUn5fpCnp6fLw8PDfO/v72/3eP369dOECRN0+PBh1apVSxs2bNDRo0fVr18/M2bfvn1KT0+3uf/lYnkLUnTq1Em9e/fW1KlTNXv2bHXu3Fnh4eG6//775eLictl579+/X4Zh6Nlnn9Wzzz5b4HFq1aqlX3/91e7lVI0bN77sMfKcOHFCU6dO1dKlS/MtpnHpl3kp/2e3b98+GYahRo0a2e2/fPny5v+npKRo0qRJ+vTTT/PdK2rvWPYYBdxXeHHizFO1alWb45w9e1ZRUVFatGiRDh8+bNOXvePnbb/Rn9mL0oscZ32O69OnjyIjI7Vs2TJNmDBBhmEoNjbWvCdRknkPuL0+AwIC7C4cdi0uzVceHh5ydXXNd7mlh4eHzXob+/bt008//WTeO3+pwiyIVFAOLWhckmzuhc1rvzSHS5K7u7t5/3ivXr0UExOjXr16afv27WrRooXdcZBfUZwqV64sSXZ/4ZP3pJK0tDSbojZPuXLlVLt2bZu2X3/9Vb6+vma/eZo0aWJuly78Qio4OFibNm2SdKHw7tixozp06KCcnBxt3rxZ3t7eOnHiRKEK79q1a+f7t1G1alWbx6D9+uuvatCgQb64ojyxoE2bNlqxYoWys7P13Xff6eOPP9bs2bN13333aefOnWratGmB+x47dkx//fWX3bzZpEkT5ebm6rffflOzZs104MAB9e7du1BjGjVqlM6dO6cdO3aoWbNmhZ6LVPjviJfLbZLs5reLfwHwwAMPqFWrVnrooYfyPXec3GaLwrsMOnDggLp27aqAgADNmjVLfn5+cnZ21po1azR79ux8i/AUdG9gv379NH78eMXGxmrUqFFavny5PDw8bFYszM3NlZeXl5YsWWK3j7wvRA4ODvrwww+1efNmffbZZ1q7dq0efvhhzZw5U5s3b77sc6jzxvv000/nO2uVp7geBdO3b18lJiZqzJgxatmypSpVqqTc3Nx8j4DJc+lnl5ubay4U4uTklC8+b545OTn617/+pRMnTuiZZ55RQECAKlasqMOHD+uhhx664kJJefdpnzx5Mt8PRkl2jy3ZJuEnn3xSixYt0qhRoxQcHCwPDw85ODiof//+do+fl3jt3XsEXE/kuKvn6+urjh07avny5ZowYYI2b96slJQUTZ8+vVj6L+jLVU5OToH72MtXhclhubm5CgwM1KxZs+zGXvol8lLVq1e3+4XySmOw1365Aj7PvffeqwcffFBLly7NV3ifPHlSFSpUYLV9FCsPDw/VrFlTu3fvzrct7xd49hZUlSQXF5crrnR+OR06dDCf4bxp0yb95z//UZUqVdS8eXNt2rRJ3t7eklSowrsw+aA4OTs7q02bNmrTpo1uuukmDRkyRLGxsZo8ebIlx7ucXr16aenSpXrppZf03nvvFerP5OLviPYUJbdJV/6cnZ2d1bNnT7300ks6e/asTR7ju6MtCu8y6LPPPlNWVpY+/fRTm99qFXaBiTz+/v5q27atli1bpoiICK1YsULh4eE2Z28aNGigdevW6bbbbivUF4Zbb71Vt956q1544QXFxMRo4MCBWrp0qYYNG1bgF7a8S3bKly9/2VW8pQuLY+zbty9f+969e684tpMnTyohIUFTp07VpEmTzHZ7/RWkQYMGMgxD/v7+uummmwqM+/777/Xzzz/r3XfftVmQJz4+vlDHCQgIkCQdPHhQgYGBhR7fxT788EMNHjzYZqXgc+fO2V2VMu9Ynp6eBZ5dAq4XctzV5bg8/fr10xNPPKG9e/dq2bJlqlChgu6++26bY+T1eenjrfbu3VvgYmTS/y4rvDSPWPGM4AYNGui7775T165dr+psSkBAgD766KNiH1dBsrKylJuba/eKooMHD5pnDYHiFBYWprfffltbt261u7BfUdStW1fr1q3T6dOnbc5679mzx9yep2PHjsrOztYHH3ygw4cPmwX27bffbhbeN910k1mAX6u6devqxx9/lGEYNvlg//7919Rv3lVYf/zxh9lmL9/UqFFDFSpUsJuL9+zZI0dHR/OXgQ0aNLD7yxB7wsPD1a1bNz300EOqXLmy3ad3XOri74jXy9mzZ2UYhk6fPm3zszJvDOS3C7jHuwzK+43VpZcOL1q0qMh99evXT5s3b9bChQt1/Phxm0swpQtniHNycjRt2rR8++at6CpdKGov/Y1Z3mUqeY99yVtF+9IvbF5eXurcubPefPNNm8SX59ixY+b/33nnndq8ebO2bt1qs72gs1UXs/e5SdKcOXOuuG+ee++9V05OTpo6dWq+fgzDMC+TtHcswzA0d+7cQh0nKChIzs7O2rZtW6HHdiknJ6d8Y3zttdcKPDOVnJxsc08QUFLIcVeX4/L07t1bTk5O+uCDDxQbG6u77rrL5vm8rVu3lpeXl6Kjo20ey/X555/rp59+UlhYWIF9u7u7y9PT07y3M8/rr79e6PEVVt++fXX48GG99dZb+badPXtWmZmZl90/ODhYJ0+etHv/4rU4deqU3fv83377bUmyezvF9u3b1b59+2IdByBJY8eOVYUKFfTwww8rLS0t3/ainDW+8847lZOTo3nz5tm0z549Ww4ODuYK49KFM+rly5fX9OnTVa1aNfMy6Y4dO2rz5s3auHFjoc52F1ZoaKgOHz5scz/2uXPn7OYHe9avX2/3s1izZo0k21tvKlasmC+POzk5qVu3bvrkk09sriJIS0tTTEyMOnToYN7O07t3b/NS9kvZG8OgQYP06quvKjo6Ws8888wV51KrVi35+fld03fEgti7hefUqVP66KOP5Ofnl++2rOTkZDk4OPD98f9xxrsM6tatm5ydnXX33Xfr0Ucf1ZkzZ/TWW2/Jy8vL7pe6y+nbt6+efvppPf3006pWrVq+szGdOnXSo48+qqioKO3cuVPdunVT+fLltW/fPsXGxmru3Lm677779O677+r111/XPffcowYNGuj06dN666235O7urjvvvFPShctBmzZtqmXLlummm25StWrV1Lx5czVv3lzz589Xhw4dFBgYqOHDh6t+/fpKS0tTUlKSfv/9d3333XeSLvyAef/999W9e3eNHDnSfNRO3bp1be4Fssfd3V233367ZsyYofPnz6tWrVr64osvivQbwwYNGuj555/X+PHjdejQIYWHh6ty5co6ePCgPv74Yz3yyCN6+umnFRAQoAYNGujpp5/W4cOH5e7uro8++uiylz1ezNXVVd26ddO6dev03HPPFXp8F7vrrrv0/vvvy8PDQ02bNlVSUpLWrVtnXqJ0saNHj2rXrl35HtMElARy3NXluDxeXl7q0qWLZs2apdOnT+f7ZUPel+UhQ4aoU6dOGjBggPk4sXr16mn06NGX7X/YsGF66aWXNGzYMLVu3VpfffWVfv7558L+kRTagw8+qOXLl+uxxx7T+vXrddtttyknJ0d79uzR8uXLzWe3FyQsLEzlypXTunXrzMcCFYcNGzboqaee0n333adGjRopOztbmzZt0ooVK9S6det899MmJyfrxIkT5uJ2QHFq1KiRYmJiNGDAADVu3FgDBw5UixYtZBiGDh48qJiYGDk6Otq9be1Sd999t7p06aL//Oc/OnTokFq0aKEvvvhCn3zyiUaNGmWzqGuFChUUFBSkzZs3m8/wli6c8c7MzFRmZmaxFt6PPvqo5s2bpwEDBmjkyJGqWbOmlixZYi4QeaWrYp588kn99ddfuueeexQQEKDs7GwlJiZq2bJlqlevnoYMGWLGBgUFad26dZo1a5Z8fX3l7++vdu3a6fnnn1d8fLw6dOigJ554QuXKldObb76prKwsm+eOjxkzRh9++KH69Omjhx9+WEFBQTpx4oQ+/fRTRUdH57sVRZIiIiKUkZGh//znP/Lw8LD76K6L9erVSx9//HG+KwCuVY8ePVS7dm21a9dOXl5eSklJ0aJFi3TkyBGbxUrzxMfH67bbbrP73fIfycIV01FM8h5tUtBjajp16pTvUTuffvqpcfPNNxuurq5GvXr1jOnTpxsLFy7M97iZunXrGmFhYZc9/m233WZIMoYNG1ZgzIIFC4ygoCDDzc3NqFy5shEYGGiMHTvWOHLkiGEYhrF9+3ZjwIABRp06dQwXFxfDy8vLuOuuu4xt27bZ9JOYmGgEBQUZzs7O+R49c+DAAWPQoEGGj4+PUb58eaNWrVrGXXfdZXz44Yc2fezatcvo1KmT4erqatSqVcuYNm2a8c477xTqUTu///67cc899xhVqlQxPDw8jD59+piPQrD3GJxjx47Z7eejjz4yOnToYFSsWNGoWLGiERAQYIwYMcLYu3evGfPjjz8aISEhRqVKlQxPT09j+PDh5mO/7D2K51IrVqwwHBwcjJSUFJt2ScaIESPyxdetW9fm8RcnT540hgwZYnh6ehqVKlUyQkNDjT179uSLMwzDeOONN4wKFSoYGRkZVxwXUFTkuAuuR47L89ZbbxmSjMqVK9t9BIxhGMayZcuMW265xXBxcTGqVatmDBw40Pj9999tYi59nJhhXHjU29ChQw0PDw+jcuXKRt++fY2jR48WOo8OHjzYqFixYr7x2Pt7kJ2dbUyfPt1o1qyZ4eLiYlStWtUICgoypk6daqSnp1/xc+jZs6fRtWtXm7aC/j4Wdrz79+83Bg0aZNSvX99wc3MzXF1djWbNmhmTJ082zpw5k28MzzzzjFGnTh2bR5cBxW3//v3G448/bjRs2NBwdXU13NzcjICAAOOxxx4zdu7caRNb0L9BwzCM06dPG6NHjzZ8fX2N8uXLG40aNTJefvllu39/x4wZY/dRUg0bNjQk2Tx2yzAKfpzYpf/u88ZYt25dm7ZffvnFCAsLM9zc3IwaNWoY//73v42PPvrIkGRs3rz5ch+P8fnnnxsPP/ywERAQYFSqVMlwdnY2GjZsaDz55JP5HqO6Z88e4/bbbzfc3NwMSTbfmbZv326EhoYalSpVMipUqGB06dLF5tFdef78808jIiLCqFWrluHs7GzUrl3bGDx4sHH8+HGbzyI2NtZmv7FjxxqSjHnz5l12Ptu3bzck5XvcYkE/E+19d8x7POTLL79sts2bN8/o0KGD4enpaZQrV86oUaOGcffdd9s8cjfPqVOnDGdnZ+Ptt9++7Fj/SRwMw6KVCQBYKicnR02bNlXfvn3tXgZbnG655RZ17txZs2fPtvQ4AHA9bdq0SZ07d9aePXsKfBqFlbKyslSvXj2NGzdOI0eOvO7HB8q6OXPmaPTo0fr9999Vq1atkh7OddW1a1f5+vrq/fffL5Hjz5kzRzNmzNCBAwdYOPL/UXgDN7Bly5bp8ccfV0pKymVXTb4WcXFxuu+++/TLL78U+EglALhR5V06Wdh7QYtTdHS0XnzxRe3bt++Kj50DcHmXrqh97tw53XLLLcrJybHkdpfSbsuWLerYsaP27dt32UUxrXD+/Hk1aNBA48aN0xNPPHFdj12aUXgDAAAAuKH16NFDderUUcuWLZWenq7//ve/+uGHH7RkyRLdf//9JT08gMXVAAAAANzYQkND9fbbb2vJkiXm7XhLly7Nt4AkUFI44w0AAAAAgIV4jjcAAAAAABai8AYAAAAAwEJl4h7v3NxcHTlyRJUrVy7Wh8QD+OcwDEOnT5+Wr6+vHB3L1u8kyZEArgX5EQDsK0p+LBOF95EjR+Tn51fSwwBQBvz222+qXbt2SQ+jWJEjARQH8iMA2FeY/FgmCu/KlStLujBhd3f3Eh4NgBtRRkaG/Pz8zHxSlpAjAVwL8iMA2FeU/FgmCu+8S4Pc3d1JmgCuSVm81JAcCaA4kB8BwL7C5MeydaMOAAAAAAClDIU3AAAAAAAWovAGAAAAAMBCFN4AAAAAAFiIwhsAAAAAAAtReAMAAAAAYCEKbwAAAAAALEThDQAAAElSVFSU2rRpo8qVK8vLy0vh4eHat2+fTUznzp3l4OBg83rsscdsYlJSUhQWFqYKFSrIy8tLY8aM0d9//20Ts2HDBrVq1UouLi5q2LChFi9enG888+fPV7169eTq6qp27dpp69atNtvPnTunESNGqHr16qpUqZJ69+6ttLS04vkwAKAYUXgDAABAkrRx40aNGDFCmzdvVnx8vM6fP6977rknX9zw4cP1xx9/mK8ZM2aY23JychQWFqbs7GwlJibq3Xff1eLFizVp0iQz5uDBgwoLC1OXLl20c+dOjRo1SsOGDdPatWvNmGXLlikyMlKTJ0/W9u3b1aJFC4WGhuro0aNmzOjRo/XZZ58pNjZWGzdu1JEjR3Tvvfda9OkAwNVzMAzDKOlBXKuMjAx5eHgoPT1d7u7uJT0cADegspxHyvLcAFjr2LFj8vLykiQzh3Tu3FktW7bUnDlz7O7z+eef66677tKRI0fk7e0tSYqOjtYzzzyjY8eOydnZWc8884xWr16t3bt3m/v1799fp06dUlxcnCSpXbt2atOmjebNmydJys3NlZ+fn5588kmNGzdO6enpqlGjhmJiYnTfffdJkvbs2aMmTZooKSlJt9566xXnR34EcC2KkkM44w0AAAC70tPT7bYvWbJEnp6eat68ucaPH6+//vrL3JaUlKTAwECz6Jak0NBQZWRk6IcffjBjQkJCbPoMDQ1VUlKSJCk7O1vJyck2MY6OjgoJCTFjkpOTdf78eZuYgIAA1alTx4y5VFZWljIyMmxeAHA9UHgDAAAgn9zcXI0aNSrfmeP7779f//3vf7V+/XqNHz9e77//vh544AFze2pqqk3RLcl8n5qaetmYjIwMnT17VsePH1dOTo7dmIv7cHZ2VpUqVQqMuVRUVJQ8PDzMl5+fXyE/DQC4NuVKegAAAAAofUaMGKHdu3fr888/V9OmTc32Rx55xPz/wMBA1axZU127dtWBAwfUoEGDkhhqoY0fP16RkZHm+4yMDIpv4AZXb9zqYu3v0EthxdpfHs54AwAAwEZERIRWrVql9evXq1atWpeNbdeunSRp//79kiQfH598K4vnvffx8blsjLu7u9zc3OTp6SknJye7MRf3kZ2drVOnThUYcykXFxe5u7vbvADgeqDwBgAAgCTJMAxFRETo448/1pdffil/f/8r7rNz505JUs2aNSVJwcHB+v77721WH4+Pj5e7u7t55jw4OFgJCQk2/cTHxys4OFiS5OzsrKCgIJuY3NxcJSQkmDFBQUEqX768TczevXuVkpJixgBAacGl5gAAAJB04fLymJgYffLJJ6pcubJSU1N1+vRpc/uBAwcUExOjO++8U9WrV9euXbs0evRo3X777br55pslSd26dVPTpk314IMPasaMGUpNTdXEiRM1YsQIubi4SJIee+wxzZs3T2PHjtXDDz+sL7/8UsuXL9fq1f+7ZDQyMlKDBw9W69at1bZtW82ZM0eZmZkaMmSIJMnDw0NDhw5VZGSkqlWrJnd3dz355JMKDg4u1IrmAKxV3JeAS9ZdBn49UHgDAABAkvTGG29Ikjp37mx3u7Ozs9atW2cWwX5+furdu7cmTpxoxjg5OWnVqlV6/PHHFRwcrIoVK2rw4MF67rnnzBh/f3+tXr1ao0eP1ty5c1W7dm29/fbbCg0NNWP69eunY8eOadKkSUpNTVXLli0VFxdns+Da7Nmz5ejoqN69eysrK0uhoaF6/fXXi/lTAYBrx3O8AUBlO4+U5bkBsF5ZziFleW5ASbteZ7xLcnE1nuMNAAAAAEApQeENAAAAAICFKLwBAAAAALDQVS2uNn/+fL388stKTU1VixYt9Nprr6lt27YFxsfGxurZZ5/VoUOH1KhRI02fPl133nmnuf2hhx7Su+++a7NPaGio4uLirmZ4AFBiyI8AAKC0K8n7ov+pinzGe9myZYqMjNTkyZO1fft2tWjRQqGhoTbParxYYmKiBgwYoKFDh2rHjh0KDw9XeHi4du/ebRPXvXt3/fHHH+brgw8+uLoZAUAJIT8CAADAniIX3rNmzdLw4cM1ZMgQNW3aVNHR0apQoYIWLlxoN37u3Lnq3r27xowZoyZNmmjatGlq1aqV5s2bZxPn4uIiHx8f81W1atWrmxEAlBDyIwAAAOwpUuGdnZ2t5ORkhYSE/K8DR0eFhIQoKSnJ7j5JSUk28dKFyyQvjd+wYYO8vLzUuHFjPf744/rzzz8LHEdWVpYyMjJsXgBQkkpLfpTIkQAAAKVNkQrv48ePKycnR97e3jbt3t7eSk1NtbtPamrqFeO7d++u9957TwkJCZo+fbo2btyoHj16KCcnx26fUVFR8vDwMF9+fn5FmQYAFLvSkh8lciQAAEBpc1WLqxW3/v37m/8fGBiom2++WQ0aNNCGDRvUtWvXfPHjx49XZGSk+T4jI4MvlgDKpKLmR4kcCQAAUNoU6Yy3p6ennJyclJaWZtOelpYmHx8fu/v4+PgUKV6S6tevL09PT+3fv9/udhcXF7m7u9u8AKAklZb8KJEjAQAASpsiFd7Ozs4KCgpSQkKC2Zabm6uEhAQFBwfb3Sc4ONgmXpLi4+MLjJek33//XX/++adq1qxZlOEBQIkhPwIAAKAgRV7VPDIyUm+99Zbeffdd/fTTT3r88ceVmZmpIUOGSJIGDRqk8ePHm/EjR45UXFycZs6cqT179mjKlCnatm2bIiIiJElnzpzRmDFjtHnzZh06dEgJCQnq1auXGjZsqNDQ0GKaJgBYj/wIAAAAe4p8j3e/fv107NgxTZo0SampqWrZsqXi4uLMBYJSUlLk6Pi/er59+/aKiYnRxIkTNWHCBDVq1EgrV65U8+bNJUlOTk7atWuX3n33XZ06dUq+vr7q1q2bpk2bJhcXl2KaJgBYj/wIAAAAexwMwzBKehDXKiMjQx4eHkpPT+deRgBXpSznkbI8NwDWK8s5pCzPDTeueuNWF2t/h14KKxPHuF7HsXeMghQlhxT5UnMAAAAAAFB4FN4AAAAAAFiIwhsAAAAAAAtReAMAAAAAYCEKbwAAAAAALEThDQAAAACAhSi8AQAAAACwEIU3AAAAAAAWovAGAAAAAMBCFN4AAAAAAFiIwhsAAAAAAAtReAMAAAAAYCEKbwAAAAAALFSupAcAAAAAAKVdvXGri73PQy+FFXufKJ044w0AAAAAgIUovAEAAAAAsBCFNwAAAAAAFqLwBgAAAADAQhTeAAAAAABYiMIbAAAAAAALUXgDAAAAAGAhCm8AAAAAACxE4Q0AAAAAgIUovAEAAAAAsBCFNwAAAAAAFqLwBgAAAADAQhTeAAAAAABYiMIbAAAAAAALUXgDAAAAAGChciU9AAAAAAC4FvXGrS7W/g69FFas/QGc8QYAAAAAwEIU3gAAAAAAWIjCGwAAAAAAC1F4AwAAQJIUFRWlNm3aqHLlyvLy8lJ4eLj27dtnE3Pu3DmNGDFC1atXV6VKldS7d2+lpaXZxKSkpCgsLEwVKlSQl5eXxowZo7///tsmZsOGDWrVqpVcXFzUsGFDLV68ON945s+fr3r16snV1VXt2rXT1q1bizwWACgNKLwBAAAgSdq4caNGjBihzZs3Kz4+XufPn9c999xjEzN69Gh99tlnio2N1caNG3XkyBHde++95vacnByFhYUpOztbiYmJevfdd7V48WJNmjTJjDl48KDCwsLUpUsX7dy5U6NGjdKwYcO0du1aM2bZsmWKjIzU5MmTtX37drVo0UKhoaE6evRooccCAKUFq5oDAABAkhQXF2fzfvHixfLy8jLfp6en65133lFMTIzuuOMOSdKiRYvUpEkTbd68Wbfeequ++OIL/fjjj1q3bp28vb3VsmVLTZs2Tc8884ymTJkiZ2dnRUdHy9/fXzNnzpQkNWnSRF9//bVmz56t0NBQSdKsWbM0fPhwDRkyRJIUHR2t1atXa+HChRo3blyhxgIApQVnvAEAAGBXenq6zfvk5GSdP39eISEhZltAQIDq1KmjpKQkSVJSUpICAwPl7e1txoSGhiojI0M//PCDGXNxH3kxeX1kZ2crOTnZJsbR0VEhISFmTGHGAgClBYU3AAAA8snNzdWoUaNszhynpqbK2dlZVapUsYn19vZWamqqGXNx0Z23PW/b5WIyMjJ09uxZHT9+XDk5OXZjLu7jSmO5VFZWljIyMmxeAHA9UHgDAAAgnxEjRmj37t1auHBhSQ+l2ERFRcnDw8N8+fn5lfSQAPxDUHgDAADARkREhFatWqX169erVq1aZruPj4+ys7N16tQpm/i0tDT5+PiYMZeuLJ73/kox7u7ucnNzk6enp5ycnOzGXNzHlcZyqfHjxys9Pd18/fbbb4X4NADg2lF4AwAAQJJkGIYiIiL08ccf68svv5S/v7/N9qCgIJUvX14JCQlm2969e5WSkqLg4GBJUnBwsL7//nub1cfj4+Pl7u6upk2bmjEX95EXk9eHs7OzgoKCbGJyc3OVkJBgxhRmLJdycXGRu7u7zQsArgdWNQcAAICkC5eXx8TE6JNPPlHlypWVmpqq06dPm9s9PDw0dOhQRUZGqlq1anJ3d9eTTz6p4OBg817wbt26qWnTpnrwwQc1Y8YMpaamauLEiRoxYoRcXFwkSY899pjmzZunsWPH6uGHH9aXX36p5cuXa/Xq1eaxIiMjNXjwYLVu3Vpt27bVnDlzlJmZaa5yXpixAEBpQeENAAAASdIbb7whSercuXOBMbNnz5ajo6N69+6trKwshYaG6vXXXze3Ozk5adWqVXr88ccVHBysihUravDgwXruuefMGH9/f61evVqjR4/W3LlzVbt2bb399tvmo8QkqV+/fjp27JgmTZqk1NRUtWzZUnFxcTYLrl1pLABQWlB4AwAAQNKFS80vlZGRIQ8PD/O9q6ur5s+fr/nz5xfYT926dbVmzZrLHqtz587asWPHZWMiIiIUERFR4PbCjAUASgPu8QYAAAAAwEJXVXjPnz9f9erVk6urq9q1a6etW7deNj42NlYBAQFydXVVYGDgZX8D+thjj8nBwUFz5sy5mqEBQIkiPwIAAOBSRS68ly1bpsjISE2ePFnbt29XixYtFBoaarNy5cUSExM1YMAADR06VDt27FB4eLjCw8O1e/fufLEff/yxNm/eLF9f36LPBABKGPkRAAAA9hT5Hu9Zs2Zp+PDh5oqS0dHRWr16tRYuXKhx48bli587d666d++uMWPGSJKmTZum+Ph4zZs3T9HR0Wbc4cOH9eSTT2rt2rUKCwu72vkAQIkhPwIAYKveuNVXDiqiQy/xsxA3niKd8c7OzlZycrJCQkL+14Gjo0JCQpSUlGR3n6SkJJt4SQoNDbWJz83N1YMPPqgxY8aoWbNmVxxHVlaWMjIybF4AUJJKS36UyJEAAAClTZEK7+PHjysnJ8fmMQ6S5O3trdTUVLv7pKamXjF++vTpKleunJ566qlCjSMqKkoeHh7my8/PryjTAIBiV1ryo0SOBAAAKG1KfFXz5ORkzZ07V4sXL5aDg0Oh9hk/frzS09PN12+//WbxKAHg+rua/CiRIwEAAEqbIhXenp6ecnJyUlpamk17WlqafHx87O7j4+Nz2fhNmzbp6NGjqlOnjsqVK6dy5crp119/1b///W/Vq1fPbp8uLi5yd3e3eQFASSot+VEiRwIAAJQ2RSq8nZ2dFRQUpISEBLMtNzdXCQkJCg4OtrtPcHCwTbwkxcfHm/EPPvigdu3apZ07d5ovX19fjRkzRmvXri3qfACgRJAfAQAAUJAir2oeGRmpwYMHq3Xr1mrbtq3mzJmjzMxMcxXfQYMGqVatWoqKipIkjRw5Up06ddLMmTMVFhampUuXatu2bVqwYIEkqXr16qpevbrNMcqXLy8fHx81btz4WucHANcN+REAAAD2FLnw7tevn44dO6ZJkyYpNTVVLVu2VFxcnLlAUEpKihwd/3civX379oqJidHEiRM1YcIENWrUSCtXrlTz5s2LbxYAUAqQHwEAAGBPkQtvSYqIiFBERITdbRs2bMjX1qdPH/Xp06fQ/R86dOhqhgUAJY78CAAAgEuV+KrmAAAAAACUZRTeAAAAAABYiMIbAAAAAAALUXgDAAAAAGAhCm8AAAAAACxE4Q0AAAAAgIUovAEAAAAAsNBVPccbAAAAwI2t3rjVxdrfoZfCirU/oCzhjDcAAAAAABai8AYAAAAAwEIU3gAAAAAAWIjCGwAAAAAAC1F4AwAAAABgIQpvAAAAAAAsROENAAAAAICFKLwBAAAAALAQhTcAAAAAABai8AYAAAAAwEIU3gAAAAAAWIjCGwAAAAAAC1F4AwAAAABgIQpvAAAAAAAsROENAAAAAICFypX0AAAAAADYqjdudbH2d+ilsGLtD0DRcMYbAAAAAAALUXgDAAAAAGAhCm8AAAAAACxE4Q0AAAAAgIUovAEAAAAAsBCFNwAAAAAAFqLwBgAAAADAQhTeAAAAAABYiMIbAAAAAAALUXgDAAAAAGAhCm8AAAAAACxE4Q0AAAAAgIUovAEAACBJ+uqrr3T33XfL19dXDg4OWrlypc32hx56SA4ODjav7t2728ScOHFCAwcOlLu7u6pUqaKhQ4fqzJkzNjG7du1Sx44d5erqKj8/P82YMSPfWGJjYxUQECBXV1cFBgZqzZo1NtsNw9CkSZNUs2ZNubm5KSQkRPv27SueDwIAihmFNwAAACRJmZmZatGihebPn19gTPfu3fXHH3+Yrw8++MBm+8CBA/XDDz8oPj5eq1at0ldffaVHHnnE3J6RkaFu3bqpbt26Sk5O1ssvv6wpU6ZowYIFZkxiYqIGDBigoUOHaseOHQoPD1d4eLh2795txsyYMUOvvvqqoqOjtWXLFlWsWFGhoaE6d+5cMX4iAFA8ypX0AAAAAFA69OjRQz169LhsjIuLi3x8fOxu++mnnxQXF6dvv/1WrVu3liS99tpruvPOO/XKK6/I19dXS5YsUXZ2thYuXChnZ2c1a9ZMO3fu1KxZs8wCfe7cuerevbvGjBkjSZo2bZri4+M1b948RUdHyzAMzZkzRxMnTlSvXr0kSe+99568vb21cuVK9e/fv7g+EgAoFhTeAAAAKLQNGzbIy8tLVatW1R133KHnn39e1atXlyQlJSWpSpUqZtEtSSEhIXJ0dNSWLVt0zz33KCkpSbfffrucnZ3NmNDQUE2fPl0nT55U1apVlZSUpMjISJvjhoaGmpe+Hzx4UKmpqQoJCTG3e3h4qF27dkpKSrK08K43bnWx93nopbBi7xNA6ULhDQAAgELp3r277r33Xvn7++vAgQOaMGGCevTooaSkJDk5OSk1NVVeXl42+5QrV07VqlVTamqqJCk1NVX+/v42Md7e3ua2qlWrKjU11Wy7OObiPi7ez16MPVlZWcrKyjLfZ2RkFGX6AHDVKLwBAABQKBefSQ4MDNTNN9+sBg0aaMOGDeratWsJjqxwoqKiNHXq1JIeBoB/IBZXAwAAwFWpX7++PD09tX//fkmSj4+Pjh49ahPz999/68SJE+Z94T4+PkpLS7OJyXt/pZiLt1+8n70Ye8aPH6/09HTz9dtvvxVpvgBwtSi8AQAAcFV+//13/fnnn6pZs6YkKTg4WKdOnVJycrIZ8+WXXyo3N1ft2rUzY7766iudP3/ejImPj1fjxo1VtWpVMyYhIcHmWPHx8QoODpYk+fv7y8fHxyYmIyNDW7ZsMWPscXFxkbu7u80LAK4HCm8AAABIks6cOaOdO3dq586dki4sYrZr1y5z25gxY7R582YdOnRICQkJ6tWrlxo2bKjQ0FBJUpMmTdS9e3cNHz5cW7du1TfffKOIiAj1799fvr6+kqT7779fzs7OGjp0qH744QctW7ZMc+fOtVlMbeTIkYqLi9PMmTO1Z88eTZkyRdu2bVNERIQkycHBQaNGjdLzzz+vTz/9VN9//70GDRokX19fhYeHX78PDAAK6aoK7/nz56tevXpydXVVu3bttHXr1svGx8bGKiAgQK6urgoMDNSaNWtstk+ZMkUBAQGqWLGiqlatqpCQEG3ZsuVqhgYAJYr8COBGtm3bNt1yyy265ZZbJEmRkZHq2LGjJMnJyUm7du1Sz549ddNNN2no0KEKCgrSpk2b5OLiYvaxZMkSBQQEqGvXrrrzzjvVoUMHm2d0e3h46IsvvtDBgwcVFBSkf//735o0aZLNs77bt2+vmJgYLViwQC1atNCHH36olStXqnnz5mbM2LFj9eSTT+qRRx5RmzZtdObMGcXFxcnV1dXqjwkAiqzIi6stW7ZMkZGRio6OVrt27TRnzhyFhoZq7969+VaxlKTExEQNGDBAUVFRuuuuuxQTE6Pw8HBt377dTJ433XST5s2bp/r16+vs2bOaPXu2unXrpv3796tGjRrXPksAuA7IjwBudJ07d5ZhGDZtGRkZ8vDwkJubm9auXXvFPqpVq6aYmJjLxtx8883atGnTZWP69OmjPn36FLjdwcFBzz33nJ577rkrjgkASlqRz3jPmjVLw4cP15AhQ9S0aVNFR0erQoUKWrhwod34uXPnqnv37hozZoyaNGmiadOmqVWrVpo3b54Zc//99yskJET169dXs2bNNGvWLGVkZJiXNgHAjYD8CAAAAHuKVHhnZ2crOTlZISEh/+vA0VEhISFKSkqyu09SUpJNvCSFhoYWGJ+dna0FCxbIw8NDLVq0sBuTlZWljIwMmxcAlKTSkh8lciQAAEBpU6TC+/jx48rJyZG3t7dNu7e3t1JTU+3uk5qaWqj4VatWqVKlSnJ1ddXs2bMVHx8vT09Pu31GRUXJw8PDfPn5+RVlGgBQ7EpLfpTIkQAAAKVNqVnVvEuXLtq5c6cSExPVvXt39e3bN99zIPPwDEYA/yRFyY8SORIAAKC0KVLh7enpKScnJ6Wlpdm0p6WlycfHx+4+Pj4+hYqvWLGiGjZsqFtvvVXvvPOOypUrp3feecdunzyDEUBpU1ryo0SOBAAAKG2KVHg7OzsrKChICQkJZltubq4SEhIUHBxsd5/g4GCbeEmKj48vMP7ifrOysooyPAAoMeRHAAAAFKTIjxOLjIzU4MGD1bp1a7Vt21Zz5sxRZmamhgwZIkkaNGiQatWqpaioKEnSyJEj1alTJ82cOVNhYWFaunSptm3bZj7PMTMzUy+88IJ69uypmjVr6vjx45o/f74OHz582UdIAEBpQ34EAACAPUUuvPv166djx45p0qRJSk1NVcuWLRUXF2cuEJSSkiJHx/+dSG/fvr1iYmI0ceJETZgwQY0aNdLKlSvNZ9Q6OTlpz549evfdd3X8+HFVr15dbdq00aZNm9SsWbNimiYAWI/8CAAAAHuKXHhLUkREhCIiIuxu27BhQ762Pn36FHh2xtXVVStWrLiaYQBAqUN+BAAAwKVKzarmAAAAAACURRTeAAAAAABYiMIbAAAAAAALUXgDAAAAAGAhCm8AAAAAACxE4Q0AAAAAgIUovAEAAAAAsBCFNwAAAAAAFqLwBgAAAADAQhTeAAAAAABYiMIbAAAAAAALUXgDAAAAAGAhCm8AAAAAACxE4Q0AAAAAgIUovAEAAAAAsBCFNwAAAAAAFqLwBgAAAADAQhTeAAAAAABYiMIbAAAAAAALUXgDAAAAAGAhCm8AAAAAACxE4Q0AAAAAgIUovAEAAAAAsBCFNwAAAAAAFqLwBgAAAADAQhTeAAAAAABYiMIbAAAAAAALUXgDAAAAAGAhCm8AAAAAACxE4Q0AAAAAgIUovAEAAAAAsBCFNwAAAAAAFqLwBgAAAADAQhTeAAAAAABYiMIbAAAAAAALUXgDAAAAAGAhCm8AAAAAACxE4Q0AAAAAgIUovAEAAAAAsBCFNwAAACRJX331le6++275+vrKwcFBK1eutNluGIYmTZqkmjVrys3NTSEhIdq3b59NzIkTJzRw4EC5u7urSpUqGjp0qM6cOWMTs2vXLnXs2FGurq7y8/PTjBkz8o0lNjZWAQEBcnV1VWBgoNasWVPksQBAaUHhDQAAAElSZmamWrRoofnz59vdPmPGDL366quKjo7Wli1bVLFiRYWGhurcuXNmzMCBA/XDDz8oPj5eq1at0ldffaVHHnnE3J6RkaFu3bqpbt26Sk5O1ssvv6wpU6ZowYIFZkxiYqIGDBigoUOHaseOHQoPD1d4eLh2795dpLEAQGlRrqQHAAAAgNKhR48e6tGjh91thmFozpw5mjhxonr16iVJeu+99+Tt7a2VK1eqf//++umnnxQXF6dvv/1WrVu3liS99tpruvPOO/XKK6/I19dXS5YsUXZ2thYuXChnZ2c1a9ZMO3fu1KxZs8wCfe7cuerevbvGjBkjSZo2bZri4+M1b948RUdHF2osAFCacMYbAAAAV3To0CGlpqYqJCTEbPPw8FC7du2UlJQkSUpKSlKVKlXMoluSQkJC5OjoqC1btpgxt99+u5ydnc2Y0NBQ7d27VydPnjRjLj5OXkzecQ4ePHjFsQBAacIZbwAAAFzR0aNHJUne3t427d7e3kpNTZUkpaamysvLy2Z7uXLlVK1aNZsYf3//fH3kbatatapSU1OveJwrjcWerKwsZWVlme8zMjIuM2MAKD6c8QYAAMA/QlRUlDw8PMyXn59fSQ8JwD/EVRXe8+fPV7169eTq6qp27dpp69atl42/3KqU58+f1zPPPKPAwEBVrFhRvr6+GjRokI4cOXI1QwOAEkV+BFBW5Z3JTktLs2lPS0uTj4+PJMnHx8c8M57n77//1okTJ2xi7PWRt+1yMRdvv9JY7Bk/frzS09PN12+//XaFWQNA8Shy4b1s2TJFRkZq8uTJ2r59u1q0aKHQ0NB8STbPlVal/Ouvv7R9+3Y9++yz2r59u1asWKG9e/eqZ8+e1zYzALjOyI8AyrJ69erJx8dHCQkJZltGRoa2bNmi4OBgSVJwcLBOnTql5ORkM+bLL79Ubm6u2rVrZ8Z89dVXOn/+vBkTHx+vxo0bq2rVqmbMxcfJi8k7jr+//xXHYo+Li4vc3d1tXgBwPRS58J41a5aGDx+uIUOGqGnTpoqOjlaFChW0cOFCu/EXr0rZpEkTTZs2Ta1atdK8efMkXVgIIz4+Xn379lXjxo116623at68eUpOTlZKSsq1zQ4AriPyI4Ab3ZkzZ7Rz507t3LlT0oVFzHbt2iVJcnBw0KhRo/T888/r008/1ffff69BgwbJ19dX4eHhkqQmTZqoe/fuGj58uLZu3apvvvlGERER6t+/v3x9fSVJ999/v5ydnTV06FD98MMPWrZsmebOnavIyEhzHCNHjlRcXJxmzpypPXv2aMqUKdq2bZsiIiIKPRYAKE2KtLhadna2kpOTNX78eLPN0dFRISEhBa4gmZSUZJNIpQurUq5cubLA46Snp8vBwUFVqlSxu52FMQCUNqUlP0rkSABXb9u2berSpYv5/tIcNXbsWGVmZuqRRx7RqVOn1KFDB8XFxcnV1dWMWbJkiSIiItS1a1c5Ojqqd+/eevXVV83tHh4e+uKLLzRixAgFBQXJ09NTkyZNsnnWd/v27RUTE6OJEydqwoQJatSokVauXKnmzZsXaSwAUFoUqfA+fvy4cnJy7K4guWfPHrv7XGlVykudO3dOzzzzjAYMGFDg5T9RUVGaOnVqUYYOAJYqLflRIkcCuHqdO3eWYRg2bRkZGfLw8JB04Uzzc889p+eee67APqpVq6aYmJjLHufmm2/Wpk2bLhvTp08f9enTp8DthRkLAJQWpWpV8/Pnz6tv374yDENvvPFGgXEsjAHgn6aw+VEiRwIAAJQ2RTrj7enpKScnpyKtIHmlVSnz5H2p/PXXX/Xll19e9myOi4uLXFxcijJ0ALBUacmPEjkSAACgtCnSGW9nZ2cFBQXZrCCZm5urhISEAleQvNKqlNL/vlTu27dP69atU/Xq1YsyLAAoceRHAAAAFKRIZ7ylC4tsDB48WK1bt1bbtm01Z84cZWZmasiQIZKkQYMGqVatWoqKipJ0YVXKTp06aebMmQoLC9PSpUu1bds2LViwQNKFL5X33Xeftm/frlWrViknJ8e8v7FatWpydnYurrkCgKXIjwAAALCnyIV3v379dOzYMU2aNEmpqalq2bKl4uLizAWCUlJS5Oj4vxPpV1qV8vDhw/r0008lSS1btrQ51vr169W5c+ernBoAXF/kRwAAANhT5MJbkiIiIsznKF5qw4YN+doutyplvXr18q2eCQA3KvIjAAAALlWqVjUHAAAAAKCsofAGAAAAAMBCFN4AAAAAAFiIwhsAAAAAAAtReAMAAAAAYCEKbwAAAAAALEThDQAAAACAhSi8AQAAAACwEIU3AAAAAAAWovAGAAAAAMBCFN4AAAAAAFiIwhsAAAAAAAtReAMAAAAAYCEKbwAAAAAALEThDQAAAACAhSi8AQAAAACwEIU3AAAAAAAWovAGAAAAAMBCFN4AAAAAAFiIwhsAAAAAAAtReAMAAAAAYCEKbwAAAAAALEThDQAAAACAhSi8AQAAAACwEIU3AAAAAAAWovAGAAAAAMBCFN4AAAAAAFiIwhsAAAAAAAtReAMAAAAAYCEKbwAAAAAALEThDQAAAACAhSi8AQAAAACwEIU3AAAAAAAWovAGAAAAAMBCFN4AAAAAAFiIwhsAAAAAAAtReAMAAAAAYCEKbwAAAAAALEThDQAAAACAhSi8AQAAAACwEIU3AAAAAAAWovAGAAAAAMBCFN4AAAAotClTpsjBwcHmFRAQYG4/d+6cRowYoerVq6tSpUrq3bu30tLSbPpISUlRWFiYKlSoIC8vL40ZM0Z///23TcyGDRvUqlUrubi4qGHDhlq8eHG+scyfP1/16tWTq6ur2rVrp61bt1oyZwC4VhTeAAAAKJJmzZrpjz/+MF9ff/21uW306NH67LPPFBsbq40bN+rIkSO69957ze05OTkKCwtTdna2EhMT9e6772rx4sWaNGmSGXPw4EGFhYWpS5cu2rlzp0aNGqVhw4Zp7dq1ZsyyZcsUGRmpyZMna/v27WrRooVCQ0N19OjR6/MhAEARUHgDAACgSMqVKycfHx/z5enpKUlKT0/XO++8o1mzZumOO+5QUFCQFi1apMTERG3evFmS9MUXX+jHH3/Uf//7X7Vs2VI9evTQtGnTNH/+fGVnZ0uSoqOj5e/vr5kzZ6pJkyaKiIjQfffdp9mzZ5tjmDVrloYPH64hQ4aoadOmio6OVoUKFbRw4cLr/4EAwBVcVeFd1Mt6YmNjFRAQIFdXVwUGBmrNmjU221esWKFu3bqpevXqcnBw0M6dO69mWABQ4siPAP4J9u3bJ19fX9WvX18DBw5USkqKJCk5OVnnz59XSEiIGRsQEKA6deooKSlJkpSUlKTAwEB5e3ubMaGhocrIyNAPP/xgxlzcR15MXh/Z2dlKTk62iXF0dFRISIgZY09WVpYyMjJsXgBwPRS58C7qZT2JiYkaMGCAhg4dqh07dig8PFzh4eHavXu3GZOZmakOHTpo+vTpVz8TAChh5EcA/wTt2rXT4sWLFRcXpzfeeEMHDx5Ux44ddfr0aaWmpsrZ2VlVqlSx2cfb21upqamSpNTUVJuiO2973rbLxWRkZOjs2bM6fvy4cnJy7Mbk9WFPVFSUPDw8zJefn99VfQYAUFRFLryLelnP3Llz1b17d40ZM0ZNmjTRtGnT1KpVK82bN8+MefDBBzVp0qR8v9kEgBsJ+RHAP0GPHj3Up08f3XzzzQoNDdWaNWt06tQpLV++vKSHdkXjx49Xenq6+frtt99KekgA/iGKVHhfzWU9V7pU6GpwmRCA0qa05EeJHAng+qpSpYpuuukm7d+/Xz4+PsrOztapU6dsYtLS0uTj4yNJ8vHxybfKed77K8W4u7vLzc1Nnp6ecnJyshuT14c9Li4ucnd3t3kBwPVQpML7ai7rKehSoctdBnQlXCYEoLQpLflRIkcCuL7OnDmjAwcOqGbNmgoKClL58uWVkJBgbt+7d69SUlIUHBwsSQoODtb3339vcxtOfHy83N3d1bRpUzPm4j7yYvL6cHZ2VlBQkE1Mbm6uEhISzBgAKE1uyFXNuUwIAApGjgRgpaefflobN27UoUOHlJiYqHvuuUdOTk4aMGCAPDw8NHToUEVGRmr9+vVKTk7WkCFDFBwcrFtvvVWS1K1bNzVt2lQPPvigvvvuO61du1YTJ07UiBEj5OLiIkl67LHH9Msvv2js2LHas2ePXn/9dS1fvlyjR482xxEZGam33npL7777rn766Sc9/vjjyszM1JAhQ0rkcwGAyylXlOCruaynoEuFLncZ0JW4uLiYiRkASoPSkh8lciQAa/3+++8aMGCA/vzzT9WoUUMdOnTQ5s2bVaNGDUnS7Nmz5ejoqN69eysrK0uhoaF6/fXXzf2dnJy0atUqPf744woODlbFihU1ePBgPffcc2aMv7+/Vq9erdGjR2vu3LmqXbu23n77bYWGhpox/fr107FjxzRp0iSlpqaqZcuWiouLy3clEQCUBkUqvC++rCc8PFzS/y7riYiIsLtP3qVCo0aNMtsuvlQIAMoC8iOAf4qlS5dedrurq6vmz5+v+fPnFxhTt27dfI9PvFTnzp21Y8eOy8ZEREQUmGMBoDQpUuEtXbisZ/DgwWrdurXatm2rOXPm2FzWM2jQINWqVUtRUVGSpJEjR6pTp06aOXOmwsLCtHTpUm3btk0LFiww+zxx4oRSUlJ05MgRSRfuBZIunA261jM/AHC9kB8BAABgT5EL7ytd1pOSkiJHx//dOt6+fXvFxMRo4sSJmjBhgho1aqSVK1eqefPmZsynn35qcz9O//79JUmTJ0/WlClTrnZuAHBdkR8BAABgT5ELb+nyl/Vs2LAhX1ufPn3Up0+fAvt76KGH9NBDD13NUACgVCE/AgAA4FI35KrmAAAAAADcKCi8AQAAAACwEIU3AAAAAAAWovAGAAAAAMBCFN4AAAAAAFiIwhsAAAAAAAtReAMAAAAAYCEKbwAAAAAALEThDQAAAACAhSi8AQAAAACwEIU3AAAAAAAWovAGAAAAAMBCFN4AAAAAAFiIwhsAAAAAAAtReAMAAAAAYCEKbwAAAAAALEThDQAAAACAhSi8AQAAAACwEIU3AAAAAAAWovAGAAAAAMBCFN4AAAAAAFiIwhsAAAAAAAtReAMAAAAAYCEKbwAAAAAALEThDQAAAACAhSi8AQAAAACwEIU3AAAAAAAWovAGAAAAAMBCFN4AAAAAAFiIwhsAAAAAAAtReAMAAAAAYCEKbwAAAAAALEThDQAAAACAhSi8AQAAAACwEIU3AAAAAAAWovAGAAAAAMBCFN4AAAAAAFiIwhsAAAAAAAtReAMAAAAAYCEKbwAAAAAALEThDQAAAACAhSi8AQAAAACwEIU3AAAAAAAWovAGAAAAAMBCFN4AAAAAAFjoqgrv+fPnq169enJ1dVW7du20devWy8bHxsYqICBArq6uCgwM1Jo1a2y2G4ahSZMmqWbNmnJzc1NISIj27dt3NUMDgBJFfgSA66uoeRcASkKRC+9ly5YpMjJSkydP1vbt29WiRQuFhobq6NGjduMTExM1YMAADR06VDt27FB4eLjCw8O1e/duM2bGjBl69dVXFR0drS1btqhixYoKDQ3VuXPnrn5mAHCdkR8B4Poqat4FgJJS5MJ71qxZGj58uIYMGaKmTZsqOjpaFSpU0MKFC+3Gz507V927d9eYMWPUpEkTTZs2Ta1atdK8efMkXTibM2fOHE2cOFG9evXSzTffrPfee09HjhzRypUrr2lyAHA9kR8B4Poqat4FgJJSrijB2dnZSk5O1vjx4802R0dHhYSEKCkpye4+SUlJioyMtGkLDQ01vzQePHhQqampCgkJMbd7eHioXbt2SkpKUv/+/fP1mZWVpaysLPN9enq6JCkjI6Mo0wEAU17+MAzjqvYvLflRIkcCKF7Xmh+tcjV5tzjyY27WX1c54oLZO35xH6esHON6HYe5lL5jXK/jFCUfFCU/FqnwPn78uHJycuTt7W3T7u3trT179tjdJzU11W58amqquT2vraCYS0VFRWnq1Kn52v38/Ao3EQAowOnTp+Xh4VHk/UpLfpTIkQCscbX50SpXk3dLa370mMMxSttxmEvpO8b1Os7VHKMw+bFIhXdpMX78eJuzRLm5uTpx4oSqV68uBweHEhzZ1cnIyJCfn59+++03ubu7l/RwrglzKZ3KylysnIdhGDp9+rR8fX2Ltd+SQI4sncrKPCTmUlpZNRfyY+nF39/Sp6zMQ2IuhVGU/FikwtvT01NOTk5KS0uzaU9LS5OPj4/dfXx8fC4bn/fftLQ01axZ0yamZcuWdvt0cXGRi4uLTVuVKlWKMpVSyd3d/Yb/S52HuZROZWUuVs3jWs7klJb8KJEjS7uyMg+JuZRWVsylNJ3pznM1eZf8WPqVlbmUlXlIzOVKCpsfi7S4mrOzs4KCgpSQkGC25ebmKiEhQcHBwXb3CQ4OtomXpPj4eDPe399fPj4+NjEZGRnasmVLgX0CQGlDfgSA6+tq8i4AlJQiX2oeGRmpwYMHq3Xr1mrbtq3mzJmjzMxMDRkyRJI0aNAg1apVS1FRUZKkkSNHqlOnTpo5c6bCwsK0dOlSbdu2TQsWLJAkOTg4aNSoUXr++efVqFEj+fv769lnn5Wvr6/Cw8OLb6YAYDHyIwBcX1fKuwBQWhS58O7Xr5+OHTumSZMmKTU1VS1btlRcXJy5sEVKSoocHf93Ir19+/aKiYnRxIkTNWHCBDVq1EgrV65U8+bNzZixY8cqMzNTjzzyiE6dOqUOHTooLi5Orq6uxTDF0s/FxUWTJ0/Od+nTjYi5lE5lZS6lfR7kR2uU9j/3wior85CYS2lVluZSWFfKu2VdWfozLytzKSvzkJhLcXMwStuzIQAAAAAAKEOKdI83AAAAAAAoGgpvAAAAAAAsROENAAAAAICFKLwBAAAAALAQhXcJioqKUps2bVS5cmV5eXkpPDxce/fuLelhXbOXXnrJfAzSjejw4cN64IEHVL16dbm5uSkwMFDbtm0r6WEVWU5Ojp599ln5+/vLzc1NDRo00LRp03QjrKf41Vdf6e6775avr68cHBy0cuVKm+2GYWjSpEmqWbOm3NzcFBISon379pXMYGGJspofJXJkaUB+xI2urOZI8mPpQI60BoV3Cdq4caNGjBihzZs3Kz4+XufPn1e3bt2UmZlZ0kO7at9++63efPNN3XzzzSU9lKty8uRJ3XbbbSpfvrw+//xz/fjjj5o5c6aqVq1a0kMrsunTp+uNN97QvHnz9NNPP2n69OmaMWOGXnvttZIe2hVlZmaqRYsWmj9/vt3tM2bM0Kuvvqro6Ght2bJFFStWVGhoqM6dO3edRwqrlMX8KJEjSwvyI250ZTFHkh9LD3KkRQyUGkePHjUkGRs3bizpoVyV06dPG40aNTLi4+ONTp06GSNHjizpIRXZM888Y3To0KGkh1EswsLCjIcfftim7d577zUGDhxYQiO6OpKMjz/+2Hyfm5tr+Pj4GC+//LLZdurUKcPFxcX44IMPSmCEuB5u9PxoGOTI0oT8iLLmRs+R5MfShRxpDc54lyLp6emSpGrVqpXwSK7OiBEjFBYWppCQkJIeylX79NNP1bp1a/Xp00deXl665ZZb9NZbb5X0sK5K+/btlZCQoJ9//lmS9N133+nrr79Wjx49Snhk1+bgwYNKTU21+Xvm4eGhdu3aKSkpqQRHBivd6PlRIkeWJuRHlDU3eo4kP5Yu5EhrlLP8CCiU3NxcjRo1SrfddpuaN29e0sMpsqVLl2r79u369ttvS3oo1+SXX37RG2+8ocjISE2YMEHffvutnnrqKTk7O2vw4MElPbwiGTdunDIyMhQQECAnJyfl5OTohRde0MCBA0t6aNckNTVVkuTt7W3T7u3tbW5D2XKj50eJHFnakB9RltzoOZL8WPqQI61B4V1KjBgxQrt379bXX39d0kMpst9++00jR45UfHy8XF1dS3o41yQ3N1etW7fWiy++KEm65ZZbtHv3bkVHR99wSXP58uVasmSJYmJi1KxZM+3cuVOjRo2Sr6/vDTcX/LPdyPlRIkeWRuRHlCU3co4kP5ZO5EhrcKl5KRAREaFVq1Zp/fr1ql27dkkPp8iSk5N19OhRtWrVSuXKlVO5cuW0ceNGvfrqqypXrpxycnJKeoiFVrNmTTVt2tSmrUmTJkpJSSmhEV29MWPGaNy4cerfv78CAwP14IMPavTo0YqKiirpoV0THx8fSVJaWppNe1pamrkNZceNnh8lcmRpRH5EWXGj50jyY+lEjrQGhXcJMgxDERER+vjjj/Xll1/K39+/pId0Vbp27arvv/9eO3fuNF+tW7fWwIEDtXPnTjk5OZX0EAvttttuy/c4jp9//ll169YtoRFdvb/++kuOjrb/xJ2cnJSbm1tCIyoe/v7+8vHxUUJCgtmWkZGhLVu2KDg4uARHhuJUVvKjRI4sjciPuNGVlRxJfiydyJHW4FLzEjRixAjFxMTok08+UeXKlc17Czw8POTm5lbCoyu8ypUr57unqGLFiqpevfoNd6/R6NGj1b59e7344ovq27evtm7dqgULFmjBggUlPbQiu/vuu/XCCy+oTp06atasmXbs2KFZs2bp4YcfLumhXdGZM2e0f/9+8/3Bgwe1c+dOVatWTXXq1NGoUaP0/PPPq1GjRvL399ezzz4rX19fhYeHl9ygUazKSn6UyJGlEfkRN7qykiPJj6UTOdIilq+bjgJJsvtatGhRSQ/tmt2oj4IwDMP47LPPjObNmxsuLi5GQECAsWDBgpIe0lXJyMgwRo4cadSpU8dwdXU16tevb/znP/8xsrKySnpoV7R+/Xq7/zYGDx5sGMaFx0E8++yzhre3t+Hi4mJ07drV2Lt3b8kOGsWqLOdHwyBHljTyI250ZTlHkh9LHjnSGg6GYRiWV/cAAAAAAPxDcY83AAAAAAAWovAGAAAAAMBCFN4AAAAAAFiIwhsAAAAAAAtReAMAAAAAYCEKbwAAAAAALEThDQAAAACAhSi8AQAAAACwEIU3AAAAAAAWovAGAAAAAMBCFN4AAAAAAFiIwhsAAAAAAAv9H435CkkTv90WAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df = compile_scenario(fm)\n", "plot_scenario(df)" ] }, { "cell_type": "code", "execution_count": 50, "id": "17652093-5a33-4bd8-88e7-84223f768caa", "metadata": { "tags": [] }, "outputs": [], "source": [ "pools = biomass_pools + dom_pools + products_pools\n", "fluxes = decay_emissions_fluxes" ] }, { "cell_type": "code", "execution_count": 51, "id": "3868ccb3-4f16-44a3-855d-d12b9f7d60e4", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": 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qw7EzdS1OqRw7Uw/neR7AFqJRNevZCEZilLeHo0eEHsGaS3zTK9/D18780tir0fxUSingPk+IUgY19mL492xc07QcEgMoL9EdUYnoitauMFJZWYmHH34Y5eXlMBqNGDJkCLZs2YJf//rXAIAlS5ZAqVRi0qRJATca81GpVFi/fj1mzpwJs9mMkJAQTJ06FS+99JJU06tXL2zYsAFz5szBG2+8gR49euC9996T7jECAPfffz9OnDiB+fPnw2KxYNiwYdi8eXPAoNbztYWuLo4GN8qq7H6DQ32nVLyhw1p/7l4AldJ3KqWxZyOiqWcjMVJ/6e8gKgRgrzr7aZSq0vM/5VWhBAw9moUNv96NsDjeOZSILomLvs/IlYz3Gbl8OBs8KLcGXvp69HTTJbAV1Xac75/06FCNX8gIlsZuJETqEWfUXbrnovjUVzVd6uqb/MOH43yXniu8geJsYcPQHVDJMPiViK4Kl+Q+I0SXksvtgcVq9542Od3yJl8Wmx3ne8K8Tq0MCBj+PRs9IoIRor2E/zoIAdSdBqy+oHE08D4bVUcBh/X8+wmJOUvYuAYw9gCCOCCbiLo+hhHqEhrcHpRb7S1u6nX0TB2On6lHubX+vGFDG6SU7q/hfxlsjwjvGI7IEM2lO5UiBFBT2Rgufmk9bJzvNAoA6KO999gwJvgNEu3pnTcmABp95x8LEVEnYxihS8J3c69jjadOmu4o6n0tt9rhPk/a0PiFDf8beyU0vkaHXsKw4XF776XR/DSKb9l6DGiwn38/oaamG3oZm93Yy9gD0IR0/rEQEcmMYYQ6hNsjUGFr3rPRFDzKq+xoOF/YUCkbn/7a/Bkp3sARHaqF8lJdAutuAGzHA3syqkqbTqtYj5//0leF0vu01xZho/E+G4bugFp3aY6HiKgLYxihNnG5Paiw2WHxO5Vy9HQ9jlV5A0dZG+4kqlYpEB8e3Hi5a7NHzUfq0e1Shg3/R8y3CBxHvUHkfDf1UgZ5A0XAzbz8bl3OAaJERG3CMEKwu9ywWO0ot9phsXlPmVh8k827/mSN47xXowQpvWEj4BSK39iNmLBLdHMvjweoPeENFLayxtfj3t4MX9hoy+3KVVrvqRL/gGH0e+Q8L30lIuoQDCNXuGq7qyloSIHDDou1XpqvqjvP6YZGapUCsQad36kTvx6OS3UnUY/bGzSsx1uGDWm+/PynUADv7cqb92b4blUensCbehERXSIMI5cpIQTO1LlQbq2XQkaFzT90eNfXOt1t2l+wWoU4ow6mxinOqIPJoIPJGCytj9RrOvc0iscN1FQ0hYqAwNG4rroc8Jz7WS8AvOM1Qk2AIR4wdveeMjHEBw4S5e3KiYi6BIaRLsjtEThZ42gMFo1hw2YP6OGw2OznvUW5jzFY3RgsdE2BQ1oOhsmog0EX1LlXorgb/ILGsaaAYfWbry4HRBvCk0LpPUXiCxhS0PALHaEmQMV/vImILgf8r/Ul5mxoHAja2ItR0cpYjcpqx3kvc/WJDtXCZNTCZAgOCBr+vRx6TSf/md0NQI3l7KdOrMe92883IBQAFKrGgBHvFzT8Qoexu/f0CYMGEdEVg/9Fv8Se+2wfPvn22HnrVEoFYsK0fqdMvGEj1u8USoxBC21QJw2gFAJw1ngftlZ7yvtad6pxYGizsFFT0bagoQzyXurqCxr+PRmGHo09GjEcFEpEdJVhGLnETAYdNEHKFqdN4gy+ngxv6IgO1XbsYFC3qylQ1J0Cak82zp8G6k76rferOd9TXf0p1YAhrvWeDN88B4QSEVEr+KC8c+iMB+U5GzxQqxQXNz5DCMBuDQwXZwsYtSe9y215zklrgnTeW5KHRHkHfOqjAnsypKDRjUGDiIgkfFBeF6YJauUH22VvGSxaBIxmU1uuKGlOoQSCI72BIiQa0DfO66ObgoZ/6NBH89knRETU6RhGLrVv3wcOb2gMFY29Fs6aC9uXJtQvOPgCRlRjyIhuuV4Xzt4LIiLqchhGLrVTPwE/5bRcrwzy66WIbBYuolqGjuBIPteEiIiuCAwjl1rSRCBmQGDwCIkGtAbegIuIiK5KDCOXWsIN3omIiIgAABxAQERERLJiGCEiIiJZMYwQERGRrBhGiIiISFYMI0RERCQrhhEiIiKSFcMIERERyYphhIiIiGTFMEJERESyYhghIiIiWTGMEBERkawYRoiIiEhWDCNEREQkK4YRIiIiklW7wkh2djZuuOEGhIWFISYmBhMnTkRxcXFAzW233QaFQhEwzZgxI6CmtLQUaWlp0Ov1iImJwdy5c9HQ0BBQk5eXh+HDh0Or1aJPnz5YtWpVi/YsX74c11xzDXQ6HZKTk7F79+6A7Xa7Henp6YiKikJoaCgmTZqEioqK9hwyERERdbJ2hZH8/Hykp6dj586dyMnJgcvlwrhx41BbWxtQ9/jjj6O8vFyaFi1aJG1zu91IS0uD0+nEjh078MEHH2DVqlWYP3++VFNSUoK0tDTcfvvtKCoqwuzZszF9+nRs2bJFqvn444+RkZGBBQsW4LvvvsPQoUORmpqKyspKqWbOnDn48ssvsXbtWuTn56OsrAz33HNPu78kIiIi6kTiIlRWVgoAIj8/X1p36623iqeffvqs79m4caNQKpXCYrFI61auXCkMBoNwOBxCCCHmzZsnBg4cGPC++++/X6SmpkrLo0aNEunp6dKy2+0W8fHxIjs7WwghRFVVlVCr1WLt2rVSzaFDhwQAUVBQ0Kbjs1qtAoCwWq1tqiciIiKv9vyGXtSYEavVCgCIjIwMWP/RRx8hOjoagwYNQlZWFurq6qRtBQUFGDx4MGJjY6V1qampsNlsOHDggFSTkpISsM/U1FQUFBQAAJxOJwoLCwNqlEolUlJSpJrCwkK4XK6Amv79+yMxMVGqac7hcMBmswVMRERE1LmCLvSNHo8Hs2fPxujRozFo0CBp/YMPPoiePXsiPj4eP/zwAzIzM1FcXIxPP/0UAGCxWAKCCABp2WKxnLPGZrOhvr4eZ86cgdvtbrXm8OHD0j40Gg3Cw8Nb1Pg+p7ns7Gy8+OKL7fwmiIiI6GJccBhJT0/H/v378fXXXwesf+KJJ6T5wYMHIy4uDmPHjsXPP/+Ma6+99sJbeglkZWUhIyNDWrbZbEhISJCxRURERFe+CzpNM2vWLKxfvx7btm1Djx49zlmbnJwMAPjpp58AACaTqcUVLb5lk8l0zhqDwYDg4GBER0dDpVK1WuO/D6fTiaqqqrPWNKfVamEwGAImIiIi6lztCiNCCMyaNQvr1q3D1q1b0atXr/O+p6ioCAAQFxcHADCbzdi3b1/AVS85OTkwGAxISkqSanJzcwP2k5OTA7PZDADQaDQYMWJEQI3H40Fubq5UM2LECKjV6oCa4uJilJaWSjVERETUBbRnZOzMmTOF0WgUeXl5ory8XJrq6uqEEEL89NNP4qWXXhLffvutKCkpEZ9//rno3bu3GDNmjLSPhoYGMWjQIDFu3DhRVFQkNm/eLLp16yaysrKkmn//+99Cr9eLuXPnikOHDonly5cLlUolNm/eLNWsWbNGaLVasWrVKnHw4EHxxBNPiPDw8ICrdGbMmCESExPF1q1bxbfffivMZrMwm81tPl5eTUNERHRh2vMb2q4wAqDV6f333xdCCFFaWirGjBkjIiMjhVarFX369BFz585t0ZAjR46ICRMmiODgYBEdHS2eeeYZ4XK5Amq2bdsmhg0bJjQajejdu7f0Gf7eeustkZiYKDQajRg1apTYuXNnwPb6+nrx5JNPioiICKHX68Xdd98tysvL23y8DCNEREQXpj2/oQohhJCrV6ars9lsMBqNsFqtHD9CRETUDu35DeWzaYiIiEhWDCNEREQkK4YRIiIikhXDCBEREcmKYYSIiIhkxTBCREREsmIYISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJimGEiIiIZMUwQkRERLJiGCEiIiJZMYwQERGRrBhGiIiISFYMI0RERCQrhhEiIiKSFcMIERERyYphhIiIiGTFMEJERESyYhghIiIiWTGMEBERkawYRoiIiEhWDCNEREQkK4YRIiIikhXDCBEREcmKYYSIiIhkxTBCREREsmIYISIiIlm1K4xkZ2fjhhtuQFhYGGJiYjBx4kQUFxcH1NjtdqSnpyMqKgqhoaGYNGkSKioqAmpKS0uRlpYGvV6PmJgYzJ07Fw0NDQE1eXl5GD58OLRaLfr06YNVq1a1aM/y5ctxzTXXQKfTITk5Gbt37253W4iIiEhe7Qoj+fn5SE9Px86dO5GTkwOXy4Vx48ahtrZWqpkzZw6+/PJLrF27Fvn5+SgrK8M999wjbXe73UhLS4PT6cSOHTvwwQcfYNWqVZg/f75UU1JSgrS0NNx+++0oKirC7NmzMX36dGzZskWq+fjjj5GRkYEFCxbgu+++w9ChQ5GamorKyso2t4WIiIi6AHERKisrBQCRn58vhBCiqqpKqNVqsXbtWqnm0KFDAoAoKCgQQgixceNGoVQqhcVikWpWrlwpDAaDcDgcQggh5s2bJwYOHBjwWffff79ITU2VlkeNGiXS09OlZbfbLeLj40V2dnab23I+VqtVABBWq7VN9UREROTVnt/QixozYrVaAQCRkZEAgMLCQrhcLqSkpEg1/fv3R2JiIgoKCgAABQUFGDx4MGJjY6Wa1NRU2Gw2HDhwQKrx34evxrcPp9OJwsLCgBqlUomUlBSppi1tac7hcMBmswVMRERE1LkuOIx4PB7Mnj0bo0ePxqBBgwAAFosFGo0G4eHhAbWxsbGwWCxSjX8Q8W33bTtXjc1mQ319PU6ePAm3291qjf8+zteW5rKzs2E0GqUpISGhjd8GERERXagLDiPp6enYv38/1qxZ05HtkVVWVhasVqs0HT16VO4mERERXfGCLuRNs2bNwvr167F9+3b06NFDWm8ymeB0OlFVVRXQI1FRUQGTySTVNL/qxXeFi39N86teKioqYDAYEBwcDJVKBZVK1WqN/z7O15bmtFottFptO74JIiIiuljt6hkRQmDWrFlYt24dtm7dil69egVsHzFiBNRqNXJzc6V1xcXFKC0thdlsBgCYzWbs27cv4KqXnJwcGAwGJCUlSTX++/DV+Pah0WgwYsSIgBqPx4Pc3Fyppi1tISIioi6gPSNjZ86cKYxGo8jLyxPl5eXSVFdXJ9XMmDFDJCYmiq1bt4pvv/1WmM1mYTabpe0NDQ1i0KBBYty4caKoqEhs3rxZdOvWTWRlZUk1//73v4Verxdz584Vhw4dEsuXLxcqlUps3rxZqlmzZo3QarVi1apV4uDBg+KJJ54Q4eHhAVfpnK8t58OraYiIiC5Me35D2xVGALQ6vf/++1JNfX29ePLJJ0VERITQ6/Xi7rvvFuXl5QH7OXLkiJgwYYIIDg4W0dHR4plnnhEulyugZtu2bWLYsGFCo9GI3r17B3yGz1tvvSUSExOFRqMRo0aNEjt37gzY3pa2nAvDCBER0YVpz2+oQggh5OqV6epsNhuMRiOsVisMBoPczSEiIrpstOc3lM+mISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJimGEiIiIZMUwQkRERLJiGCEiIiJZMYwQERGRrBhGiIiISFYMI0RERCQrhhEiIiKSFcMIERERyYphhIiIiGTFMEJERESyYhghIiIiWTGMEBERkawYRoiIiEhWDCNEREQkK4YRIiIikhXDCBEREcmKYYSIiIhkxTBCREREsmIYISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJimGEiIiIZMUwQkRERLJqdxjZvn077rzzTsTHx0OhUOCzzz4L2P7II49AoVAETOPHjw+oOX36NKZMmQKDwYDw8HBMmzYNNTU1ATU//PADbrnlFuh0OiQkJGDRokUt2rJ27Vr0798fOp0OgwcPxsaNGwO2CyEwf/58xMXFITg4GCkpKfjxxx/be8hERETUidodRmprazF06FAsX778rDXjx49HeXm5NP39738P2D5lyhQcOHAAOTk5WL9+PbZv344nnnhC2m6z2TBu3Dj07NkThYWFWLx4MV544QW88847Us2OHTswefJkTJs2DXv37sXEiRMxceJE7N+/X6pZtGgR3nzzTbz99tvYtWsXQkJCkJqaCrvd3t7DJiIios4iLgIAsW7duoB1U6dOFXfddddZ33Pw4EEBQOzZs0dat2nTJqFQKMTx48eFEEKsWLFCRERECIfDIdVkZmaKfv36Scv33XefSEtLC9h3cnKy+M///E8hhBAej0eYTCaxePFiaXtVVZXQarXi73//e5uOz2q1CgDCarW2qZ6IiIi82vMb2iljRvLy8hATE4N+/fph5syZOHXqlLStoKAA4eHhGDlypLQuJSUFSqUSu3btkmrGjBkDjUYj1aSmpqK4uBhnzpyRalJSUgI+NzU1FQUFBQCAkpISWCyWgBqj0Yjk5GSppjmHwwGbzRYwERERUefq8DAyfvx4fPjhh8jNzcWf/vQn5OfnY8KECXC73QAAi8WCmJiYgPcEBQUhMjISFotFqomNjQ2o8S2fr8Z/u//7WqtpLjs7G0ajUZoSEhLaffxERETUPkEdvcMHHnhAmh88eDCGDBmCa6+9Fnl5eRg7dmxHf1yHysrKQkZGhrRss9kYSIiIiDpZp1/a27t3b0RHR+Onn34CAJhMJlRWVgbUNDQ04PTp0zCZTFJNRUVFQI1v+Xw1/tv939daTXNarRYGgyFgIiIios7V6WHk2LFjOHXqFOLi4gAAZrMZVVVVKCwslGq2bt0Kj8eD5ORkqWb79u1wuVxSTU5ODvr164eIiAipJjc3N+CzcnJyYDabAQC9evWCyWQKqLHZbNi1a5dUQ0RERF1Ae0fHVldXi71794q9e/cKAOL1118Xe/fuFb/88ouorq4Wf/jDH0RBQYEoKSkRX331lRg+fLjo27evsNvt0j7Gjx8vrr/+erFr1y7x9ddfi759+4rJkydL26uqqkRsbKx46KGHxP79+8WaNWuEXq8Xf/nLX6Sab775RgQFBYnXXntNHDp0SCxYsECo1Wqxb98+qWbhwoUiPDxcfP755+KHH34Qd911l+jVq5eor69v07HyahoiIqIL057f0HaHkW3btgkALaapU6eKuro6MW7cONGtWzehVqtFz549xeOPPy4sFkvAPk6dOiUmT54sQkNDhcFgEI8++qiorq4OqPn+++/FzTffLLRarejevbtYuHBhi7Z88skn4rrrrhMajUYMHDhQbNiwIWC7x+MRzz//vIiNjRVarVaMHTtWFBcXt/lYGUaIiIguTHt+QxVCCCFXr0xXZ7PZYDQaYbVaOX6EiIioHdrzG8pn0xAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJimGEiIiIZMUwQkRERLJiGCEiIiJZMYwQERGRrBhGiIiISFYMI0RERCQrhhEiIiKSFcMIERERyYphhIiIiGTFMEJERESyYhghIiIiWTGMEBERkawYRoiIiEhWDCNEREQkK4YRIiIikhXDCBEREcmKYYSIiIhkxTBCREREsmIYISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJimGEiIiIZMUwQkRERLJqdxjZvn077rzzTsTHx0OhUOCzzz4L2C6EwPz58xEXF4fg4GCkpKTgxx9/DKg5ffo0pkyZAoPBgPDwcEybNg01NTUBNT/88ANuueUW6HQ6JCQkYNGiRS3asnbtWvTv3x86nQ6DBw/Gxo0b290WIiIikle7w0htbS2GDh2K5cuXt7p90aJFePPNN/H2229j165dCAkJQWpqKux2u1QzZcoUHDhwADk5OVi/fj22b9+OJ554Qtpus9kwbtw49OzZE4WFhVi8eDFeeOEFvPPOO1LNjh07MHnyZEybNg179+7FxIkTMXHiROzfv79dbSEiIiKZiYsAQKxbt05a9ng8wmQyicWLF0vrqqqqhFarFX//+9+FEEIcPHhQABB79uyRajZt2iQUCoU4fvy4EEKIFStWiIiICOFwOKSazMxM0a9fP2n5vvvuE2lpaQHtSU5OFv/5n//Z5racj9VqFQCE1WptUz0RERF5tec3tEPHjJSUlMBisSAlJUVaZzQakZycjIKCAgBAQUEBwsPDMXLkSKkmJSUFSqUSu3btkmrGjBkDjUYj1aSmpqK4uBhnzpyRavw/x1fj+5y2tKU5h8MBm80WMBEREVHn6tAwYrFYAACxsbEB62NjY6VtFosFMTExAduDgoIQGRkZUNPaPvw/42w1/tvP15bmsrOzYTQapSkhIaENR01EREQXg1fT+MnKyoLVapWmo0ePyt0kIiKiK16HhhGTyQQAqKioCFhfUVEhbTOZTKisrAzY3tDQgNOnTwfUtLYP/884W43/9vO1pTmtVguDwRAwERERUefq0DDSq1cvmEwm5ObmSutsNht27doFs9kMADCbzaiqqkJhYaFUs3XrVng8HiQnJ0s127dvh8vlkmpycnLQr18/RERESDX+n+Or8X1OW9pCREREXUB7R8dWV1eLvXv3ir179woA4vXXXxd79+4Vv/zyixBCiIULF4rw8HDx+eefix9++EHcddddolevXqK+vl7ax/jx48X1118vdu3aJb7++mvRt29fMXnyZGl7VVWViI2NFQ899JDYv3+/WLNmjdDr9eIvf/mLVPPNN9+IoKAg8dprr4lDhw6JBQsWCLVaLfbt2yfVtKUt58KraYiIiC5Me35D2x1Gtm3bJgC0mKZOnSqE8F5S+/zzz4vY2Fih1WrF2LFjRXFxccA+Tp06JSZPnixCQ0OFwWAQjz76qKiurg6o+f7778XNN98stFqt6N69u1i4cGGLtnzyySfiuuuuExqNRgwcOFBs2LAhYHtb2nIuDCNEREQXpj2/oQohhJCrV6ars9lsMBqNsFqtHD9CRETUDu35DeXVNERERCQrhhEiIiKSFcMIERERyYphhIiIiGTFMEJERESyYhghIiIiWTGMEBERkawYRoiIiEhWDCNEREQkK4YRIiIikhXDCBEREcmKYYSIiIhkxTBCREREsmIYISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJimGEiIiIZMUwQkRERLJiGCEiIiJZMYwQERGRrBhGiIiISFZBcjfgSuB2u+FyueRuBl0AjUYDpZKZnIhITgwjF0EIAYvFgqqqKrmbQhdIqVSiV69e0Gg0cjeFiOiqxTByEXxBJCYmBnq9HgqFQu4mUTt4PB6UlZWhvLwciYmJ/PsREcmEYeQCud1uKYhERUXJ3Ry6QN26dUNZWRkaGhqgVqvlbg4R0VWJJ8svkG+MiF6vl7kldDF8p2fcbrfMLSEiunoxjFwkdu1f3vj3IyKSH8MIERERyYphhIiIiGTV4WHkhRdegEKhCJj69+8vbbfb7UhPT0dUVBRCQ0MxadIkVFRUBOyjtLQUaWlp0Ov1iImJwdy5c9HQ0BBQk5eXh+HDh0Or1aJPnz5YtWpVi7YsX74c11xzDXQ6HZKTk7F79+6OPtwrzpEjR6BQKFBUVCR3UzrMCy+8gGHDhsndDCIiOotO6RkZOHAgysvLpenrr7+Wts2ZMwdffvkl1q5di/z8fJSVleGee+6RtrvdbqSlpcHpdGLHjh344IMPsGrVKsyfP1+qKSkpQVpaGm6//XYUFRVh9uzZmD59OrZs2SLVfPzxx8jIyMCCBQvw3XffYejQoUhNTUVlZWVnHDIRERFdKNHBFixYIIYOHdrqtqqqKqFWq8XatWuldYcOHRIAREFBgRBCiI0bNwqlUiksFotUs3LlSmEwGITD4RBCCDFv3jwxcODAgH3ff//9IjU1VVoeNWqUSE9Pl5bdbreIj48X2dnZbT4Wq9UqAAir1dpiW319vTh48KCor69v8/4uByUlJQKA2Lt3r9xN6TDn+mfySv07EhHJ7Vy/oc11Ss/Ijz/+iPj4ePTu3RtTpkxBaWkpAKCwsBAulwspKSlSbf/+/ZGYmIiCggIAQEFBAQYPHozY2FipJjU1FTabDQcOHJBq/Pfhq/Htw+l0orCwMKBGqVQiJSVFqmmNw+GAzWYLmNpDCIE6Z4MskxCize30eDxYtGgR+vTpA61Wi8TERLzyyisBNYcPH8ZNN90EnU6HQYMGIT8/X9qWl5cHhUKBLVu24Prrr0dwcDB+9atfobKyEps2bcKAAQNgMBjw4IMPoq6u7qztWLVqFcLDw/HZZ5+hb9++0Ol0SE1NxdGjRwPqVq5ciWuvvRYajQb9+vXDf//3fwdsLy0txV133YXQ0FAYDAbcd999LU79ERFR19XhNz1LTk7GqlWr0K9fP5SXl+PFF1/ELbfcgv3798NisUCj0SA8PDzgPbGxsbBYLAC8dzX1DyK+7b5t56qx2Wyor6/HmTNn4Ha7W605fPjwWduenZ2NF1988YKOGwDqXW4kzd9y/sJOcPClVOg1bftzZmVl4d1338WSJUtw8803o7y8vMX3MnfuXCxduhRJSUl4/fXXceedd6KkpCTgBm8vvPACli1bBr1ej/vuuw/33XcftFotVq9ejZqaGtx999146623kJmZeda21NXV4ZVXXsGHH34IjUaDJ598Eg888AC++eYbAMC6devw9NNPY+nSpUhJScH69evx6KOPokePHrj99tvh8XikIJKfn4+Ghgakp6fj/vvvR15eXvu/SCIiuuQ6PIxMmDBBmh8yZAiSk5PRs2dPfPLJJwgODu7oj+tQWVlZyMjIkJZtNhsSEhJkbFHHq66uxhtvvIFly5Zh6tSpAIBrr70WN998c0DdrFmzMGnSJADenonNmzfjr3/9K+bNmyfVvPzyyxg9ejQAYNq0acjKysLPP/+M3r17AwDuvfdebNu27ZxhxOVyYdmyZUhOTgYAfPDBBxgwYAB2796NUaNG4bXXXsMjjzyCJ598EgCQkZGBnTt34rXXXsPtt9+O3Nxc7Nu3DyUlJdLf6sMPP8TAgQOxZ88e3HDDDR3xtRERUSfq9NvBh4eH47rrrsNPP/2EX//613A6naiqqgroHamoqIDJZAIAmEymFle9+Lrc/Wuad8NXVFTAYDAgODgYKpUKKpWq1RrfPlqj1Wqh1Wov+FiD1SocfCn1gt9/MYLVqjbVHTp0CA6HA2PHjj1nndlsluaDgoIwcuRIHDp0KKBmyJAh0nxsbCz0er0URHzrzncFU1BQUEBg6N+/P8LDw3Ho0CGMGjUKhw4dwhNPPBHwntGjR+ONN96QjichISEgNCYlJUn7YBghIur6Ov0+IzU1Nfj5558RFxeHESNGQK1WIzc3V9peXFyM0tJS6cfPbDZj3759AVe95OTkwGAwICkpSarx34evxrcPjUaDESNGBNR4PB7k5uYG/Mh2NIVCAb0mSJaprXcS7cjeKf9nuSgUihbPdlEoFPB4PB32eUREdGXq8DDyhz/8Afn5+Thy5Ah27NiBu+++GyqVCpMnT4bRaMS0adOQkZGBbdu2obCwEI8++ijMZjNuvPFGAMC4ceOQlJSEhx56CN9//z22bNmC5557Dunp6VKvxYwZM/Dvf/8b8+bNw+HDh7FixQp88sknmDNnjtSOjIwMvPvuu/jggw9w6NAhzJw5E7W1tXj00Uc7+pAvK3379kVwcHCLMNfczp07pfmGhgYUFhZiwIABHd6ehoYGfPvtt9JycXExqqqqpM8aMGCANH7E55tvvpGC6YABA3D06NGAQa8HDx5EVVWVVENERF1bh5+mOXbsGCZPnoxTp06hW7duuPnmm7Fz505069YNALBkyRIolUpMmjQJDocDqampWLFihfR+lUqF9evXY+bMmTCbzQgJCcHUqVPx0ksvSTW9evXChg0bMGfOHLzxxhvo0aMH3nvvPaSmNp0iuf/++3HixAnMnz8fFosFw4YNw+bNm1sMar3a6HQ6ZGZmYt68edBoNBg9ejROnDiBAwcOYNq0aVLd8uXL0bdvXwwYMABLlizBmTNn8Nhjj3V4e9RqNZ566im8+eabCAoKwqxZs3DjjTdi1KhRALwDae+77z5cf/31SElJwZdffolPP/0UX331FQAgJSUFgwcPxpQpU7B06VI0NDTgySefxK233oqRI0d2eHuJiKgTdPqFxpexK/U+I263W7z88suiZ8+eQq1Wi8TERPHqq68KIZruM7J69WoxatQoodFoRFJSkti6dav0/m3btgkA4syZM9K6999/XxiNxoDPOdf9Pfzf83//93+id+/eQqvVipSUFPHLL78E1K1YsUL07t1bqNVqcd1114kPP/wwYPsvv/wi/uM//kOEhISIsLAw8dvf/jbgPjW8zwgR0aXXnvuMKIRoxw0qrjI2mw1GoxFWqxUGgyFgm91uR0lJCXr16gWdTidTCy9vq1atwuzZs1FVVSVbG/h3JCLqHOf6DW2OD8ojIiIiWTGMEBERkawYRkg2jzzyiKynaIiIqGtgGCEiIiJZMYwQERGRrBhGiIiISFYMI0RERCQrhhEiIiKSFcMIERERyYphhK5IeXl5UCgUvHSYiOgywDBCF+zUqVMYP3484uPjodVqkZCQgFmzZsFms8ndNCIiuowwjNAFUyqVuOuuu/DFF1/gX//6F1atWoWvvvoKM2bMkLtpRER0GWEY6UhCAM5aeaY2Pu9w/fr1CA8Ph9vtBgAUFRVBoVDg2WeflWqmT5+O3/3udwCAX375BXfeeSciIiIQEhKCgQMHYuPGjQCAiIgIzJw5EyNHjkTPnj0xduxYPPnkk/jnP/951s8/cuQIFAoF1qxZg5tuugk6nQ6DBg1Cfn5+QF1+fj5GjRoFrVaLuLg4PPvss2hoaJC2OxwO/P73v0dMTAx0Oh1uvvlm7Nmzp21/JyIi6lKC5G7AFcVVB7waL89n/1cZoAk5b9ktt9yC6upq7N27FyNHjkR+fj6io6ORl5cn1eTn5yMzMxMAkJ6eDqfTie3btyMkJAQHDx5EaGhoq/suKyvDp59+iltvvfW87Zg7dy6WLl2KpKQkvP7667jzzjtRUlKCqKgoHD9+HL/5zW/wyCOP4MMPP8Thw4fx+OOPQ6fT4YUXXgAAzJs3D//3f/+HDz74AD179sSiRYuQmpqKn376CZGRkef/voiIqMtgz8hVxmg0YtiwYVL4yMvLw5w5c7B3717U1NTg+PHj+Omnn6RAUVpaitGjR2Pw4MHo3bs37rjjDowZMyZgn5MnT4Zer0f37t1hMBjw3nvvnbcds2bNwqRJkzBgwACsXLkSRqMRf/3rXwEAK1asQEJCApYtW4b+/ftj4sSJePHFF/HnP/8ZHo8HtbW1WLlyJRYvXowJEyYgKSkJ7777LoKDg6V9EBHR5YM9Ix1Jrff2UMj12W106623Ii8vD8888wz++c9/Ijs7G5988gm+/vprnD59GvHx8ejbty8A4Pe//z1mzpyJf/zjH0hJScGkSZMwZMiQgP0tWbIECxYswL/+9S9kZWUhIyMDK1asOGcbzGazNB8UFISRI0fi0KFDAIBDhw7BbDZDoVBINaNHj0ZNTQ2OHTuGqqoquFwujB49uunw1WqMGjVK2gcREV0+GEY6kkLRplMlcrvtttvwt7/9Dd9//z3UajX69++P2267DXl5eThz5kzAaZbp06cjNTUVGzZswD/+8Q9kZ2fjz3/+M5566impxmQywWQyoX///oiMjMQtt9yC559/HnFxcXIcHhERXWZ4muYq5Bs3smTJEil4+MJIXl4ebrvttoD6hIQEzJgxA59++imeeeYZvPvuu2fdt8fjAeAdYHouO3fulOYbGhpQWFiIAQMGAAAGDBiAgoICCL9Bud988w3CwsLQo0cPXHvttdBoNPjmm2+k7S6XC3v27EFSUlLbvgQiIuoy2DNyFYqIiMCQIUPw0UcfYdmyZQCAMWPG4L777oPL5QroGZk9ezYmTJiA6667DmfOnMG2bduk0LBx40ZUVFTghhtuQGhoKA4cOIC5c+di9OjRuOaaa87ZhuXLl6Nv374YMGAAlixZgjNnzuCxxx4DADz55JNYunQpnnrqKcyaNQvFxcVYsGABMjIyoFQqERISgpkzZ2Lu3LmIjIxEYmIiFi1ahLq6OkybNq1zvjQiIuo0DCNXqVtvvRVFRUVSL0hkZCSSkpJQUVGBfv36SXVutxvp6ek4duwYDAYDxo8fjyVLlgAAgoOD8e6772LOnDlwOBxISEjAPffcE3CZ8NksXLgQCxcuRFFREfr06YMvvvgC0dHRAIDu3btj48aNmDt3LoYOHYrIyEhMmzYNzz33XMD7PR4PHnroIVRXV2PkyJHYsmULIiIiOvBbIiKiS0EhRBtvUHEVstlsMBqNsFqtMBgMAdvsdjtKSkrQq1cv6HQ6mVp4+Tly5Ah69eqFvXv3YtiwYXI3h39HIqJOcq7f0OY4ZoSIiIhkxTBCREREsuKYEbqkrrnmGvDMIBER+WPPCBEREcmKYeQi+e6rQZcn9tIQEcmPp2kukEajgVKpRFlZGbp16waNRhNw+3Lq+oQQOHHiBBQKBdRqtdzNISK6ajGMXCClUolevXqhvLwcZWUyPY+GLppCoUCPHj2gUqnkbgoR0VWLYeQiaDQaJCYmoqGhAW63W+7m0AVQq9UMIkREMmMYuUi+Ln528xMREV0YDmAlIiIiWV0VYWT58uW45pproNPpkJycjN27d8vdJCIiImp0xYeRjz/+GBkZGViwYAG+++47DB06FKmpqaisrJS7aURERISr4EF5ycnJuOGGG7Bs2TIA3vuCJCQk4KmnnmrxdFmHwwGHwyEtW61WJCYm4ujRo+d9yA8RERE1sdlsSEhIQFVVFYxG4zlrr+gBrE6nE4WFhcjKypLWKZVKpKSkoKCgoEV9dnY2XnzxxRbrExISOrWdREREV6rq6uqrO4ycPHkSbrcbsbGxAetjY2Nx+PDhFvVZWVnIyMiQlj0eD06fPo2oqCje0AxNKZc9RZcWv3d58HuXB793eXTG9y6EQHV1NeLj489be0WHkfbSarXQarUB68LDw+VpTBdmMBj4HwkZ8HuXB793efB7l0dHf+/n6xHxuaIHsEZHR0OlUqGioiJgfUVFBUwmk0ytIiIiIn9XdBjRaDQYMWIEcnNzpXUejwe5ubkwm80ytoyIiIh8rvjTNBkZGZg6dSpGjhyJUaNGYenSpaitrcWjjz4qd9MuO1qtFgsWLGhxKos6F793efB7lwe/d3nI/b1f8Zf2AsCyZcuwePFiWCwWDBs2DG+++SaSk5PlbhYRERHhKgkjRERE1HVd0WNGiIiIqOtjGCEiIiJZMYwQERGRrBhGiIiISFYMI0RERCQrhhEiIiKSFcMIERERyYphhIiIiGTFMEJERESyYhghIiIiWTGMEBERkawYRoiIiEhWDCNEREQkK4YRIiIikhXDCBEREcmKYYSIiIhkxTBCREREsmIYISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJimGEiIiIZMUwQkRERLJiGCEiIiJZMYwQERGRrBhGiIiISFYMI0RERCQrhhEiIiKSFcMIERERyYphhIiIiGTFMEJERESyYhghIiIiWTGMEBERkawYRoiIiEhWDCNEREQkK4YRIiIikhXDCBEREcmKYYSIiIhkxTBCREREsmIYISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJKkjuBnRlHo8HZWVlCAsLg0KhkLs5RERElw0hBKqrqxEfHw+l8tx9Hwwj51BWVoaEhAS5m0FERHTZOnr0KHr06HHOGoaRcwgLCwPg/SINBoPMrSEioiuRy+2B3eWG3eWGw+WBo8ENu8sDe4MbjgYP7C4PHC436l1uOH3bfHUN3m3SsqvpPfYGt7TN2Vhrd3ng9oiztmXVIzdgZK/IDjkum82GhIQE6bf0XBhGzsF3asZgMDCMEBFdhVxuD+qcbtQ5G7yvjqb5WmldA+pcvm1u2BuagoXd5Vv2oL5xm7Te5Q0I5woHFyMIDdDDDj0ciFTYEaxwIETjQLDCjhA4oFfYYVQ5YVA5EaZwIkxpR7TyOhgM13RoO9oyzIFhhIiILmtCCDjdHm8YcDWGg8awUO90o9bpRr2zAbUOb+9CbeN2KWA4vet825re44bT7ens1kPjFxoi1E5EBDlhULlgVDlgULkQpnQgTOlEqNIOPZwIUdgRDAeChR062KHz1EMj6qHx2KFx1yHIXY+ghnoohautTfBOHgChMzrxWM+OYYSIiC4pIQTsLg+q7S7Y7A2otrtQ42hAdeN8tb0pJDQFBr+eCVeD1AvhCxwNndS74BOkVECvUUGvViFC60Y3tQORQXZEqeoRrrQjXFkPg6IOoQoHglGPYDigE/XQCTs0nnpo3PVQe+qhdtdD5a6HylULVUM9FK5aKIS72RcEoKFx6gjKIEATAmhCAbW+cb5xUuu96zUhgEYPGOI76EPbh2GEiIjaTAiBWqdbCg2+QFFjDwwTvtezhY3OCg8alRJ6rQohmiAEa1QI0agaX4OgVysQEeRCuMqOcFU9jIp6hCnqEIY6hIg66EUtdO5a6Dy10DTUQN1QA7WrGkpnNZQOG+CwAY5qoKajUkIzKq03ELQWGgKCQ+M2dUhTiAh4T7OaIE3ntLcDMYwQEV0l3B7RGAp8gcFv3tEySLQ2X+NoQEflCIUCCNUGwaBTI0wX1DipEaoNQohWhWB146tGhVC1AgZFPQyKeoQq6hEqahEi6qDzeMODtqEG6oZqqJzV3sBgbwwPdhtQawNONS6joxqvBLRhgNYI6AyN842vrQUC/9BwtmChunp/kq/eIyciugy5PQK2eheq6l04U+eEtc6FqnonqupcOFPngrXOiap6F6rqXAFBosbhnTqKSqloChBatRQkDI3rQhuXw/xeDRoFjIo6GFCNUE81dC4blPYzQH3jVHfa+2qvAk77hQmHDXDWdFjboQzyBgcpRPgCheHsr83XaUK9aYo6BMMIEZEM2hoqmgcMm90FcZH/c69RKQN6Ipr3ShhaCRL+YSNUo0CwuxqK+qqmIFF/OjBUVJ8BKptts1sv/otTaQN7IqSAYGwlRIS1vk0dzCDRxTCMEBFdBLlCRag2CMZgNcL1vkmD8MblCL0GhmB1i1ARqvWGCp1a5d2Jxw0EBIqKwFBxwm++I0OFJgwIjgD0Ed5XaYpsfA0/e9AI0l7cZ1OXxDBCRNTI0eDG6VonTtU4carWidO1jksaKiL0Ghj16oBQ4d2mQURj6DAGe9dpgprdXrvBAdSeBGpPALXHgLqTQM0Z4ITf6Y/OCBVnDRQRgD6ylW3hgEp9cZ9LVxyGESK6Yrk9AmfqGsNFjQMna504XePAqVonTjauO13rbFx2oNp+4WMqfKEiIkSN8OCmUBGh1zSGiJahIlyvhlp1lmd2uBu8oaH2hDdkVJ8ALL6wcQKoO9U0X3uycXDmBdIavCGhtUDRIlT49V4wVFAHYRghosuGEAK2+gacqvUGilM1jsZQ4e3FONm4ztezcabO2e5eC5VSgagQDSJDNIgK1UinP/xDhW++TaGiqfHegZm+3ouTjSGi9mRgqKhrXK47jXZf+aEMAvTRQEg3ICSqDb0UDBXUNTCMEJGs6pwNOFXj7ZnwnSI5WeuQejNOSadNvNtd7vb9QCsUQHiwGlGhWkSFaBAdqpWCRlSoFtEh3tfIEA2iQzUw6NRQKtswuFEIwFkL1JYB5f69FM1Dhi9cnAQ87e15UXhDREg376SPapoPiW6c/JZ14RyYSZclhhEi6lBCCFTVuVBZ7UBltR0nqpt6KprCRVPIqHe5z7/TZsK0QYgK9fVeaBEdqkFUiFZaFx3qnY8K0SJCr0bQ+Xotmhrv7ZGosQDVllYCRrOg0VDf7rZDa/T2WviHCKk3o1m4CI68qu89QVcP/lNORG3i9gicqnFIIaPS1nL+ROPU3ud5aIOUfgFCI/ViRPmFDP+wIV0N0ubGN3jDQ40FqK44x2sF4Gnj8zx8gnRASEyzngq/UKFvtp5XgxC1wDBCdJVzNLhxoroxWNgcOFFtl+YrffPVDpyqcbTrzpvhejViwrToFqb1Bo2QZmEjVIPoxnV6japNT/ZsocHhDRBSoLA0Ljd7rT0BiHYEpOBIIMwEhMY0Bo1uzXoz/Ho0NCE8NUJ0kRhGiK5QtY6GxlDRFCgqq+044d+jUe29dLWtlAogKlSLmDDfpEOMQdsYOvzntdAGtbP3wp+jxi9MnKM3o/5M2/epUHqDRVgsEGpq5dUEhMZ6p8vgWR5EVxKGEaLLiO9qkqYeC//TJQ5U2LxjNCptdtQ62z4WQ6NSoltjiIgJ0zaGCl2L+ahQLVRtGdzZeuO94aG1novmr+259bdK4xcqYhtDRSthIyQaUF5EQCKiTsMwQtRFuD0CJ6odKLfWo9xqR1mV99VitaPcWi8FDmdD20836DUqqQejm8GvN6NZyAjXqy/sNImPx+0NErYywHYMsB5vmreVNY3HcDvavk9NqF+4OMdrcARPkxBd5hhGiC4Bj0fgZK0D5VV2lDeGC1/g8IYNOyps9jY/Vt0YrG4RKLqFaRFj0DWdQjHoEKrtgH/FPR6gtrIxYDRO1mON82Xe9dXlgGhjT0xwxFlOkzQ7XaINvfi2E9FlgWGE6CIJIXC61hnQmyEFjio7yqz1qLDZ23R/DJVSgdgwLeLCgxFn1CE+PBgmgw5xRp0UNLqFadt/NcnZG++9TLV5b4Z/8LCVt+0KE4UKMMQDhu6AsXvjfA/va1hc02kUXk1CRM0wjBCdg++eGb5wUWa1o7yxN6PM2hQ82nLqRKkAYsJ0MBl1iA/XIc7oDRxxxmDEhesQbwxGt7CLGJPRsvHee2acrTfDdwrF7Tz/vhRKb6CQwkYP76shvmk+NIZjMojogjCM0FVLCAGbvUHqwZACR5X31Rc47K7zBw2FAogO1SK+MVz4B474cB1MxmDEhGnPf8vwtjfee2vxs/Vm+Na36aZcCm+PhX9vhrF7Y9ho7OUINfHmW0TUaWT/r8vChQuRlZWFp59+GkuXLgUA2O12PPPMM1izZg0cDgdSU1OxYsUKxMbGSu8rLS3FzJkzsW3bNoSGhmLq1KnIzs5GUFDTIeXl5SEjIwMHDhxAQkICnnvuOTzyyCOX+AhJDr4eDYvNOwDU99p8rEZbrziJCtEgzhcujN5w4d+7EWvQtXyK6oU33tujUV3mPUViaxyT4d+bYT0OuGrbtr+Qbn69Ga30bITF8VJWIpKVrGFkz549+Mtf/oIhQ4YErJ8zZw42bNiAtWvXwmg0YtasWbjnnnvwzTffAADcbjfS0tJgMpmwY8cOlJeX4+GHH4Zarcarr74KACgpKUFaWhpmzJiBjz76CLm5uZg+fTri4uKQmpp6yY+VOo7L7UFltcMbMhqDRkWz0FFhs8PRxqtOIvRqb7gw6qTA4Tt9Eh/uDRodNkajwem9P4atvDFsNE7V5X7Bw9L2q06CIxt7MXqcpWcjnmM0iKjLUwjR3mdadoyamhoMHz4cK1aswMsvv4xhw4Zh6dKlsFqt6NatG1avXo17770XAHD48GEMGDAABQUFuPHGG7Fp0ybccccdKCsrk3pL3n77bWRmZuLEiRPQaDTIzMzEhg0bsH//fukzH3jgAVRVVWHz5s1taqPNZoPRaITVaoXBYOiYA/95G3Ds28Zz7X4/GJqQjtn/Za7a7moMFt5LXCtsvoDhvYdGudWOU7WONj+JNTJEA5PBO04j1qBrDBy+sOENHMGaDggaQngf4S6FjPLGkFEWGDxqT7R9n/powBDn/WckLK7ZqZPGXg518MW3nYioE7TnN1S2npH09HSkpaUhJSUFL7/8srS+sLAQLpcLKSkp0rr+/fsjMTFRCiMFBQUYPHhwwGmb1NRUzJw5EwcOHMD111+PgoKCgH34ambPnn3WNjkcDjgcTf9HarPZOuBIm/nXFmDXypbrdeF+AwL9QorBb/4yvtTR91wT/56L8ua9Gu04baJWKRAT5g0UsUadN3A0hg5T43KM4SLvAurjcQM1lX7BotyvR8NvXVtv1KXSeC9fDYtv/Bs3nirxDx5hJvZoENFVQ5YwsmbNGnz33XfYs2dPi20WiwUajQbh4eEB62NjY2GxWKQa/yDi2+7bdq4am82G+vp6BAe3/D/K7OxsvPjiixd8XG2SMApwVjf9mFmPe5ftVd6p8sDZ36szth5S/MOLNqxz298Ku8vd4nSJ774ZFpsdFVY7KqodcLfxHhphuqCmYOHXq+Ebm2Ey6hCp17TtMe/n46xrChcBr8ebQka1pe330NAZG0NG45UnvnlpXXfvY+B5ky4iIsklDyNHjx7F008/jZycHOh0ukv98eeUlZWFjIwMadlmsyEhIaFjP2TQPd7Jn90WeLdKW1njZZi+MQXHvacA7FbvVHnw7PvXGpv+b/tsPSy6lt1lzgYP6pwNqHW6Uedo9upsQK3D+2qzN6DCP3jY7G1+tolSAXQL08Jk8AsXrfRq6DXt/MeywentlXDW+k01Left1pbBw17Vts9QKL1XlBji/C5xbSVs8HQbEVG7XfIwUlhYiMrKSgwfPlxa53a7sX37dixbtgxbtmyB0+lEVVVVQO9IRUUFTCYTAMBkMmH37t0B+62oqJC2+V596/xrDAZDq70iAKDVaqHVytA1rjN4p5j+Z6+x24DqcgjrMTScOQbXmWPwNAYWVXU51LVlCHJVAw4rcMIKnDh01l3VKvQ4oYhChYjCcRGJY+4IHPdEolxEolxEwSIiUQ19uw4hWK1q7MHQNgaLYJgMWr9ejWBEh6gRJJzNwsLppvnjNUBJG0JF8+X2PvK9ObXe71SJ77V7YMgIieGlrUREneSS/9d17Nix2LdvX8C6Rx99FP3790dmZiYSEhKgVquRm5uLSZMmAQCKi4tRWloKs9kMADCbzXjllVdQWVmJmJgYAEBOTg4MBgOSkpKkmo0bNwZ8Tk5OjrQPufz7RA1+OV2HOocbtc6GVnsfmvdKNNV6Xz0iGkA0gGEB+w5BPUyK04hTnEac4hRM8L7GKU7DpDiNeMUpGBV1CBHe6Roc9b5R1Tj5qUUwTiqjcUYVjSp1DKo1MajVxcKli0aUDojWuBChdiFc5USYygGtuw4Kl19QsNQCpa2Eh/Y8xr29VFpvz4QmtPE1JHBZG9oscDS+6ow8bUJEJKNLHkbCwsIwaNCggHUhISGIioqS1k+bNg0ZGRmIjIyEwWDAU089BbPZjBtvvBEAMG7cOCQlJeGhhx7CokWLYLFY8NxzzyE9PV3q2ZgxYwaWLVuGefPm4bHHHsPWrVvxySefYMOGDZf2gJv5YMcRfFDwS4fsK1itQohWBb0mCHqNCiHaCOg1CQjRBMGtVaFKEwSnVoVTmiD8WxuEEI0KYSoHIhtOwuiqRJizEnp7BXT1FmhqyxFUUw6F7Thgr0II6hHiOYqenqOAC0BdhzS5ibqVsNDqcju2qdQd3EgiIroUumS/85IlS6BUKjFp0qSAm575qFQqrF+/HjNnzoTZbEZISAimTp2Kl156Sarp1asXNmzYgDlz5uCNN95Ajx498N5778l+j5GESD0GdTdAr/GGA31jSNBrgqRg0bQ+CHqtyvuqUSFE27QtWK26iNuG9z33Zmdt46Wpx5rGrPju6Fl7wns5aUAYOFtAOEuQUOsBZQfdIIyIiC57st1n5HLQKfcZISIiugq05zeU/3tKREREsmIYISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJimGEiIiIZMUwQkRERLJiGCEiIiJZMYwQERGRrBhGiIiISFYMI0RERCQrhhEiIiKSFcMIERERyYphhIiIiGTFMEJERESyYhghIiIiWTGMEBERkawYRoiIiEhWsoSRlStXYsiQITAYDDAYDDCbzdi0aZO0/bbbboNCoQiYZsyYEbCP0tJSpKWlQa/XIyYmBnPnzkVDQ0NATV5eHoYPHw6tVos+ffpg1apVl+LwiIiIqB2C5PjQHj16YOHChejbty+EEPjggw9w1113Ye/evRg4cCAA4PHHH8dLL70kvUev10vzbrcbaWlpMJlM2LFjB8rLy/Hwww9DrVbj1VdfBQCUlJQgLS0NM2bMwEcffYTc3FxMnz4dcXFxSE1NvbQHTERERGelEEIIuRsBAJGRkVi8eDGmTZuG2267DcOGDcPSpUtbrd20aRPuuOMOlJWVITY2FgDw9ttvIzMzEydOnIBGo0FmZiY2bNiA/fv3S+974IEHUFVVhc2bN7epTTabDUajEVarFQaD4aKPkYiI6GrRnt9Q2ceMuN1urFmzBrW1tTCbzdL6jz76CNHR0Rg0aBCysrJQV1cnbSsoKMDgwYOlIAIAqampsNlsOHDggFSTkpIS8FmpqakoKCg4a1scDgdsNlvARERERJ1LltM0ALBv3z6YzWbY7XaEhoZi3bp1SEpKAgA8+OCD6NmzJ+Lj4/HDDz8gMzMTxcXF+PTTTwEAFoslIIgAkJYtFss5a2w2G+rr6xEcHNyiTdnZ2XjxxRc7/FiJiIjo7GQLI/369UNRURGsViv+93//F1OnTkV+fj6SkpLwxBNPSHWDBw9GXFwcxo4di59//hnXXnttp7UpKysLGRkZ0rLNZkNCQkKnfR4RERHJeJpGo9GgT58+GDFiBLKzszF06FC88cYbrdYmJycDAH766ScAgMlkQkVFRUCNb9lkMp2zxmAwtNorAgBarVa6wsc3ERERUeeSfcyIj8fjgcPhaHVbUVERACAuLg4AYDabsW/fPlRWVko1OTk5MBgM0qkes9mM3NzcgP3k5OQEjEshIiIi+clymiYrKwsTJkxAYmIiqqursXr1auTl5WHLli34+eefsXr1avzmN79BVFQUfvjhB8yZMwdjxozBkCFDAADjxo1DUlISHnroISxatAgWiwXPPfcc0tPTodVqAQAzZszAsmXLMG/ePDz22GPYunUrPvnkE2zYsEGOQyYiIqKzkCWMVFZW4uGHH0Z5eTmMRiOGDBmCLVu24Ne//jWOHj2Kr776CkuXLkVtbS0SEhIwadIkPPfcc9L7VSoV1q9fj5kzZ8JsNiMkJARTp04NuC9Jr169sGHDBsyZMwdvvPEGevTogffee4/3GCEiIupiusx9Rroi3meEiIjowlxW9xkhIiKiqxvDCBEREcmKYYSIiIhkxTBCREREsmIYISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJimGEiIiIZMUwQkRERLJiGCEiIiJZMYwQERGRrBhGiIiISFYMI0RERCQrhhEiIiKSFcMIERERyYphhIiIiGTFMEJERESyYhghIiIiWckSRlauXIkhQ4bAYDDAYDDAbDZj06ZN0na73Y709HRERUUhNDQUkyZNQkVFRcA+SktLkZaWBr1ej5iYGMydOxcNDQ0BNXl5eRg+fDi0Wi369OmDVatWXYrDIyIionaQJYz06NEDCxcuRGFhIb799lv86le/wl133YUDBw4AAObMmYMvv/wSa9euRX5+PsrKynDPPfdI73e73UhLS4PT6cSOHTvwwQcfYNWqVZg/f75UU1JSgrS0NNx+++0oKirC7NmzMX36dGzZsuWSHy8RERGdnUIIIeRuBABERkZi8eLFuPfee9GtWzesXr0a9957LwDg8OHDGDBgAAoKCnDjjTdi06ZNuOOOO1BWVobY2FgAwNtvv43MzEycOHECGo0GmZmZ2LBhA/bv3y99xgMPPICqqips3ry5TW2y2WwwGo2wWq0wGAwdf9BERERXqPb8hso+ZsTtdmPNmjWora2F2WxGYWEhXC4XUlJSpJr+/fsjMTERBQUFAICCggIMHjxYCiIAkJqaCpvNJvWuFBQUBOzDV+PbR2scDgdsNlvARERERJ1LtjCyb98+hIaGQqvVYsaMGVi3bh2SkpJgsVig0WgQHh4eUB8bGwuLxQIAsFgsAUHEt9237Vw1NpsN9fX1rbYpOzsbRqNRmhISEjriUImIiOgcZAsj/fr1Q1FREXbt2oWZM2di6tSpOHjwoFzNAQBkZWXBarVK09GjR2VtDxER0dUgSK4P1mg06NOnDwBgxIgR2LNnD9544w3cf//9cDqdqKqqCugdqaiogMlkAgCYTCbs3r07YH++q238a5pfgVNRUQGDwYDg4OBW26TVaqHVajvk+IiIiKhtZB8z4uPxeOBwODBixAio1Wrk5uZK24qLi1FaWgqz2QwAMJvN2LdvHyorK6WanJwcGAwGJCUlSTX++/DV+PZBREREXYMsPSNZWVmYMGECEhMTUV1djdWrVyMvLw9btmyB0WjEtGnTkJGRgcjISBgMBjz11FMwm8248cYbAQDjxo1DUlISHnroISxatAgWiwXPPfcc0tPTpZ6NGTNmYNmyZZg3bx4ee+wxbN26FZ988gk2bNggxyETERHRWcgSRiorK/Hwww+jvLwcRqMRQ4YMwZYtW/DrX/8aALBkyRIolUpMmjQJDocDqampWLFihfR+lUqF9evXY+bMmTCbzQgJCcHUqVPx0ksvSTW9evXChg0bMGfOHLzxxhvo0aMH3nvvPaSmpl7y4yUiIqKz6zL3GemKeJ8RIiKiC3NZ3WeEiIiIrm4MI0RERCQrhhEiIiKSFcMIERERyYphhIiIiGTFMEJERESyYhghIiIiWTGMEBERkawYRoiIiEhWDCNEREQkK4YRIiIikhXDCBEREcmKYYSIiIhkxTBCREREsmIYISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJimGEiIiIZCVLGMnOzsYNN9yAsLAwxMTEYOLEiSguLg6oue2226BQKAKmGTNmBNSUlpYiLS0Ner0eMTExmDt3LhoaGgJq8vLyMHz4cGi1WvTp0werVq3q7MMjIiKidpAljOTn5yM9PR07d+5ETk4OXC4Xxo0bh9ra2oC6xx9/HOXl5dK0aNEiaZvb7UZaWhqcTid27NiBDz74AKtWrcL8+fOlmpKSEqSlpeH2229HUVERZs+ejenTp2PLli2X7FiJiIjo3BRCCCF3I06cOIGYmBjk5+djzJgxALw9I8OGDcPSpUtbfc+mTZtwxx13oKysDLGxsQCAt99+G5mZmThx4gQ0Gg0yMzOxYcMG7N+/X3rfAw88gKqqKmzevLnFPh0OBxwOh7Rss9mQkJAAq9UKg8HQgUdMRER0ZbPZbDAajW36De0SY0asVisAIDIyMmD9Rx99hOjoaAwaNAhZWVmoq6uTthUUFGDw4MFSEAGA1NRU2Gw2HDhwQKpJSUkJ2GdqaioKCgpabUd2djaMRqM0JSQkdMjxERER0dkFyd0Aj8eD2bNnY/To0Rg0aJC0/sEHH0TPnj0RHx+PH374AZmZmSguLsann34KALBYLAFBBIC0bLFYzlljs9lQX1+P4ODggG1ZWVnIyMiQln09I0RERNR5ZA8j6enp2L9/P77++uuA9U888YQ0P3jwYMTFxWHs2LH4+eefce2113ZKW7RaLbRabafsm4iIiFon62maWbNmYf369di2bRt69Ohxztrk5GQAwE8//QQAMJlMqKioCKjxLZtMpnPWGAyGFr0iREREJA9ZwogQArNmzcK6deuwdetW9OrV67zvKSoqAgDExcUBAMxmM/bt24fKykqpJicnBwaDAUlJSVJNbm5uwH5ycnJgNps76EiIiIjoYskSRtLT0/E///M/WL16NcLCwmCxWGCxWFBfXw8A+Pnnn/HHP/4RhYWFOHLkCL744gs8/PDDGDNmDIYMGQIAGDduHJKSkvDQQw/h+++/x5YtW/Dcc88hPT1dOtUyY8YM/Pvf/8a8efNw+PBhrFixAp988gnmzJkjx2ETERFRK2S5tFehULS6/v3338cjjzyCo0eP4ne/+x3279+P2tpaJCQk4O6778Zzzz0XcHnQL7/8gpkzZyIvLw8hISGYOnUqFi5ciKCgpqEweXl5mDNnDg4ePIgePXrg+eefxyOPPNKmdrbnsiQiIiJq0p7f0C5xn5GuimGEiIjowlx29xkhIiKiqxfDCBEREcmKYYSIiIhkxTBCREREsmIYISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJimGEiIiIZMUwQkRERLJiGCEiIiJZMYwQERGRrBhGiIiISFYMI0RERCQrhhEiIiKSFcMIERERyYphhIiIiGTFMEJERESykiWMZGdn44YbbkBYWBhiYmIwceJEFBcXB9TY7Xakp6cjKioKoaGhmDRpEioqKgJqSktLkZaWBr1ej5iYGMydOxcNDQ0BNXl5eRg+fDi0Wi369OmDVatWdfbhERERUTvIEkby8/ORnp6OnTt3IicnBy6XC+PGjUNtba1UM2fOHHz55ZdYu3Yt8vPzUVZWhnvuuUfa7na7kZaWBqfTiR07duCDDz7AqlWrMH/+fKmmpKQEaWlpuP3221FUVITZs2dj+vTp2LJlyyU9XiIiIjo7hRBCyN2IEydOICYmBvn5+RgzZgysViu6deuG1atX49577wUAHD58GAMGDEBBQQFuvPFGbNq0CXfccQfKysoQGxsLAHj77beRmZmJEydOQKPRIDMzExs2bMD+/fulz3rggQdQVVWFzZs3n7ddNpsNRqMRVqsVBoOhcw6eiIjoCtSe39AuMWbEarUCACIjIwEAhYWFcLlcSElJkWr69++PxMREFBQUAAAKCgowePBgKYgAQGpqKmw2Gw4cOCDV+O/DV+PbR3MOhwM2my1gIiIios4lexjxeDyYPXs2Ro8ejUGDBgEALBYLNBoNwsPDA2pjY2NhsVikGv8g4tvu23auGpvNhvr6+hZtyc7OhtFolKaEhIQOOUYiIiI6O9nDSHp6Ovbv3481a9bI3RRkZWXBarVK09GjR+VuEhER0RUvSM4PnzVrFtavX4/t27ejR48e0nqTyQSn04mqqqqA3pGKigqYTCapZvfu3QH7811t41/T/AqciooKGAwGBAcHt2iPVquFVqvtkGMjIiKitpGlZ0QIgVmzZmHdunXYunUrevXqFbB9xIgRUKvVyM3NldYVFxejtLQUZrMZAGA2m7Fv3z5UVlZKNTk5OTAYDEhKSpJq/Pfhq/Htg4iIiOQny9U0Tz75JFavXo3PP/8c/fr1k9YbjUapx2LmzJnYuHEjVq1aBYPBgKeeegoAsGPHDgDeS3uHDRuG+Ph4LFq0CBaLBQ899BCmT5+OV199FYD30t5BgwYhPT0djz32GLZu3Yrf//732LBhA1JTU8/bTl5NQ0REdGHa9RsqZACg1en999+Xaurr68WTTz4pIiIihF6vF3fffbcoLy8P2M+RI0fEhAkTRHBwsIiOjhbPPPOMcLlcATXbtm0Tw4YNExqNRvTu3TvgM87HarUKAMJqtV7M4RIREV112vMb2iXuM9JVsWeEiIjowlx29xkhIiKiqxfDCBEREcmKYYSIiIhkxTBCREREsmIYISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJimGEiIiIZMUwQkRERLJiGCEiIiJZMYwQERGRrBhGiIiISFYMI0RERCQrhhEiIiKSFcMIERERyYphhIiIiGTFMEJERESyYhghIiIiWckSRrZv344777wT8fHxUCgU+OyzzwK2P/LII1AoFAHT+PHjA2pOnz6NKVOmwGAwIDw8HNOmTUNNTU1AzQ8//IBbbrkFOp0OCQkJWLRoUWcfGhEREbWTLGGktrYWQ4cOxfLly89aM378eJSXl0vT3//+94DtU6ZMwYEDB5CTk4P169dj+/bteOKJJ6TtNpsN48aNQ8+ePVFYWIjFixfjhRdewDvvvNNpx0VERETtFyTHh06YMAETJkw4Z41Wq4XJZGp126FDh7B582bs2bMHI0eOBAC89dZb+M1vfoPXXnsN8fHx+Oijj+B0OvG3v/0NGo0GAwcORFFREV5//fWA0EJERETy6rJjRvLy8hATE4N+/fph5syZOHXqlLStoKAA4eHhUhABgJSUFCiVSuzatUuqGTNmDDQajVSTmpqK4uJinDlzptXPdDgcsNlsARMRERF1ri4ZRsaPH48PP/wQubm5+NOf/oT8/HxMmDABbrcbAGCxWBATExPwnqCgIERGRsJisUg1sbGxATW+ZV9Nc9nZ2TAajdKUkJDQ0YdGREREzchymuZ8HnjgAWl+8ODBGDJkCK699lrk5eVh7Nixnfa5WVlZyMjIkJZtNhsDCRERUSfrkj0jzfXu3RvR0dH46aefAAAmkwmVlZUBNQ0NDTh9+rQ0zsRkMqGioiKgxrd8trEoWq0WBoMhYCIiIqLOdVmEkWPHjuHUqVOIi4sDAJjNZlRVVaGwsFCq2bp1KzweD5KTk6Wa7du3w+VySTU5OTno168fIiIiLu0BEBER0VnJEkZqampQVFSEoqIiAEBJSQmKiopQWlqKmpoazJ07Fzt37sSRI0eQm5uLu+66C3369EFqaioAYMCAARg/fjwef/xx7N69G9988w1mzZqFBx54APHx8QCABx98EBqNBtOmTcOBAwfw8ccf44033gg4DUNERERdgJDBtm3bBIAW09SpU0VdXZ0YN26c6Natm1Cr1aJnz57i8ccfFxaLJWAfp06dEpMnTxahoaHCYDCIRx99VFRXVwfUfP/99+Lmm28WWq1WdO/eXSxcuLBd7bRarQKAsFqtF33MREREV5P2/IYqhBBCxizUpdlsNhiNRlitVo4fISIiaof2/IZeFmNGiIiI6MrFMEJERESyYhghIiIiWTGMEBERkawYRoiIiEhWDCNEREQkK4YRIiIikhXDCBEREcmKYYSIiIhkxTBCREREsmIYISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJimGEiIiIZMUwQkRERLJiGCEiIiJZMYwQERGRrGQJI9u3b8edd96J+Ph4KBQKfPbZZwHbhRCYP38+4uLiEBwcjJSUFPz4448BNadPn8aUKVNgMBgQHh6OadOmoaamJqDmhx9+wC233AKdToeEhAQsWrSosw+NiIiI2kmWMFJbW4uhQ4di+fLlrW5ftGgR3nzzTbz99tvYtWsXQkJCkJqaCrvdLtVMmTIFBw4cQE5ODtavX4/t27fjiSeekLbbbDaMGzcOPXv2RGFhIRYvXowXXngB77zzTqcfHxEREbWDkBkAsW7dOmnZ4/EIk8kkFi9eLK2rqqoSWq1W/P3vfxdCCHHw4EEBQOzZs0eq2bRpk1AoFOL48eNCCCFWrFghIiIihMPhkGoyMzNFv3792tw2q9UqAAir1Xqhh0dERHRVas9vaJcbM1JSUgKLxYKUlBRpndFoRHJyMgoKCgAABQUFCA8Px8iRI6WalJQUKJVK7Nq1S6oZM2YMNBqNVJOamori4mKcOXOm1c92OByw2WwBExEREXWuLhdGLBYLACA2NjZgfWxsrLTNYrEgJiYmYHtQUBAiIyMDalrbh/9nNJednQ2j0ShNCQkJF39AREREdE5dLozIKSsrC1arVZqOHj0qd5OIiIiueF0ujJhMJgBARUVFwPqKigppm8lkQmVlZcD2hoYGnD59OqCmtX34f0ZzWq0WBoMhYCIiIqLO1eXCSK9evWAymZCbmyuts9ls2LVrF8xmMwDAbDajqqoKhYWFUs3WrVvh8XiQnJws1Wzfvh0ul0uqycnJQb9+/RAREXGJjoaIiIjOR5YwUlNTg6KiIhQVFQHwDlotKipCaWkpFAoFZs+ejZdffhlffPEF9u3bh4cffhjx8fGYOHEiAGDAgAEYP348Hn/8cezevRvffPMNZs2ahQceeADx8fEAgAcffBAajQbTpk3DgQMH8PHHH+ONN95ARkaGHIdMREREZ3MJru5pYdu2bQJAi2nq1KlCCO/lvc8//7yIjY0VWq1WjB07VhQXFwfs49SpU2Ly5MkiNDRUGAwG8eijj4rq6uqAmu+//17cfPPNQqvViu7du4uFCxe2q528tJeIiOjCtOc3VCGEEDJmoS7NZrPBaDTCarVy/AgREVE7tOc3tMuNGSEiIqKrC8MIERERySpI7gZcCdxud8BVO9R1qdVqqFQquZtBRER+GEYughACFosFVVVVcjeF2iE8PBwmkwkKhULuphARERhGLooviMTExECv1/PHrYsTQqCurk66YV5cXJzMLSIiIoBh5IK53W4piERFRcndHGqj4OBgAEBlZSViYmJ4yoaIqAvgANYL5BsjotfrZW4JtZfvb8ZxPkREXQPDyEXiqZnLD/9mRERdC8MIERERyYphhIiIiGTFMEIBjhw5AoVCIT3EsLN99tln6NOnD1QqFWbPno1Vq1YhPDz8knw2ERF1DQwjJKv//M//xL333oujR4/ij3/8o9zNISIiGfDSXpJNTU0NKisrkZqaivj4eLmbQ0REMmHPSAcSQqDO2SDL1J6HL3s8HixatAh9+vSBVqtFYmIiXnnllYCaw4cP46abboJOp8OgQYOQn58vbcvLy4NCocCWLVtw/fXXIzg4GL/61a9QWVmJTZs2YcCAATAYDHjwwQdRV1fXahvy8vIQFhYGAPjVr34FhUKBvLy8FnWPPPIIJk6cGLBu9uzZuO222wAAJ06cgMlkwquvvipt37FjBzQaDXJzc9v8nRARkXzYM9KB6l1uJM3fIstnH3wpFXpN2/6cWVlZePfdd7FkyRLcfPPNKC8vx+HDhwNq5s6di6VLlyIpKQmvv/467rzzTpSUlATc4O2FF17AsmXLoNfrcd999+G+++6DVqvF6tWrUVNTg7vvvhtvvfUWMjMzW7ThpptuQnFxMfr164f/+7//w0033YTIyEgcOXKkXcfdrVs3/O1vf8PEiRMxbtw49OvXDw899BBmzZqFsWPHtmtfREQkD4aRq0x1dTXeeOMNLFu2DFOnTgUAXHvttbj55psD6mbNmoVJkyYBAFauXInNmzfjr3/9K+bNmyfVvPzyyxg9ejQAYNq0acjKysLPP/+M3r17AwDuvfdebNu2rdUwotFoEBMTAwCIjIyEyWS64GP6zW9+g8cffxxTpkzByJEjERISguzs7AveHxERXVoMIx0oWK3CwZdSZfvstjh06BAcDsd5ew3MZrM0HxQUhJEjR+LQoUMBNUOGDJHmY2NjodfrpSDiW7d79+42tetivfbaaxg0aBDWrl2LwsJCaLXaS/K5RER08RhGOpBCoWjzqRK5+J7N0hHUarU0r1AoApZ96zwez0V9hlKpbDEeprXbuP/8888oKyuDx+PBkSNHMHjw4Iv6XCIiunQ4gPUq07dvXwQHB593cOfOnTul+YaGBhQWFmLAgAGd3bwWunXrhvLy8oB1ze+B4nQ68bvf/Q73338//vjHP2L69OnSk3mJiKjrYxi5yuh0OmRmZmLevHn48MMP8fPPP2Pnzp3461//GlC3fPlyrFu3DocPH0Z6ejrOnDmDxx577JK391e/+hW+/fZbfPjhh/jxxx+xYMEC7N+/P6Dm//2//wer1Yo333wTmZmZuO6662RpKxERXRiGkavQ888/j2eeeQbz58/HgAEDcP/997foSVi4cCEWLlyIoUOH4uuvv8YXX3yB6OjoS97W1NRUPP/885g3bx5uuOEGVFdX4+GHH5a25+XlYenSpfjv//5vGAwGKJVK/Pd//zf++c9/YuXKlZe8vURE1H4K0Z4bVFwiL7zwAl588cWAdf369ZMuP7Xb7XjmmWewZs0aOBwOpKamYsWKFYiNjZXqS0tLMXPmTGzbtg2hoaGYOnUqsrOzERTU9jEdNpsNRqMRVqsVBoMhYJvdbkdJSQl69eoFnU53EUdLlxr/dkREne9cv6HNddnRlgMHDsRXX30lLfuHiDlz5mDDhg1Yu3YtjEYjZs2ahXvuuQfffPMNAMDtdiMtLQ0mkwk7duxAeXk5Hn74YajV6oCbYxEREZH8umwYCQoKavXeE1arFX/961+xevVq/OpXvwIAvP/++xgwYAB27tyJG2+8Ef/4xz9w8OBBfPXVV4iNjcWwYcPwxz/+EZmZmXjhhReg0Wgu9eEQERHRWXTZMSM//vgj4uPj0bt3b0yZMgWlpaUAgMLCQrhcLqSkpEi1/fv3R2JiIgoKCgAABQUFGDx4cMBpm9TUVNhsNhw4cOCsn+lwOGCz2QImIiIi6lxdMowkJydj1apV2Lx5M1auXImSkhLccsstqK6uhsVigUajafGY+djYWFgsFgCAxWIJCCK+7b5tZ5OdnQ2j0ShNCQkJHXtgRERE1EKXPE0zYcIEaX7IkCFITk5Gz5498cknn3ToTbuay8rKQkZGhrRss9kYSIiIiDpZl+wZaS48PBzXXXcdfvrpJ5hMJjidTlRVVQXUVFRUSGNMTCYTKioqWmz3bTsbrVYLg8EQMBEREVHnuizCSE1NDX7++WfExcVhxIgRUKvVAXcQLS4uRmlpqfQ8FbPZjH379gXcOyMnJwcGgwFJSUmXvP1ERER0dl3yNM0f/vAH3HnnnejZsyfKysqwYMECqFQqTJ48GUajEdOmTUNGRgYiIyNhMBjw1FNPwWw248YbbwQAjBs3DklJSXjooYewaNEiWCwWPPfcc0hPT+cD1IiIiLqYLtkzcuzYMUyePBn9+vXDfffdh6ioKOzcuRPdunUDACxZsgR33HEHJk2ahDFjxsBkMuHTTz+V3q9SqbB+/XqoVCqYzWb87ne/w8MPP4yXXnpJrkMiP4cPH8aNN94InU6HYcOG4ciRI1AoFC2eOUNERFeHLtkzsmbNmnNu1+l0WL58OZYvX37Wmp49e2Ljxo0d3TTyc+rUKUyZMgU//PADTp06hZiYGNx111149dVXzzneZsGCBQgJCUFxcTFCQ0NRXV19CVtNRERdTZfsGaHLg1KpxF133YUvvvgC//rXv7Bq1Sp89dVXmDFjxjnf9/PPP+Pmm29Gz549ERUVdYlaS0REXRXDyFVm/fr1CA8Ph9vtBgAUFRVBoVDg2WeflWqmT5+O3/3udwCAX375BXfeeSciIiIQEhKCgQMHSj1OERERmDlzJkaOHImePXti7NixePLJJ/HPf/7zrJ+vUChQWFiIl156CQqFAi+88EKLmlWrVrW4j8xnn30GhUIBABBCICUlBampqfA9Wun06dPo0aMH5s+ff8HfDRERyaNLnqa5bAkBuOrk+Wy1Hmj8sT4X383j9u7di5EjRyI/Px/R0dHIy8uTavLz85GZmQkASE9Ph9PpxPbt2xESEoKDBw8iNDS01X2XlZXh008/xa233nrWzy8vL0dKSgrGjx+PP/zhDwgNDcXJkyfbdagKhQIffPABBg8ejDfffBNPP/00ZsyYge7duzOMEBFdhhhGOpKrDng1Xp7P/q8yQBNy3jKj0Yhhw4YhLy8PI0eORF5eHubMmYMXX3wRNTU1sFqt+Omnn6RAUVpaikmTJmHw4MEAgN69e7fY5+TJk/H555+jvr4ed955J957772zfr7JZEJQUBBCQ0Ole760N4wAQPfu3fGXv/wFDz/8MCwWCzZu3Ii9e/e266nMRETUNfA0zVXo1ltvRV5eHoQQ+Oc//4l77rkHAwYMwNdff438/HzEx8ejb9++AIDf//73ePnllzF69GgsWLAAP/zwQ4v9LVmyBN999x0+//xz/PzzzwF3se1Mv/3tb3H33Xdj4cKFeO2116Q2ExHR5YX/G9mR1HpvD4Vcn91Gt912G/72t7/h+++/h1qtRv/+/XHbbbchLy8PZ86cCTjNMn36dKSmpmLDhg34xz/+gezsbPz5z3/GU089JdWYTCaYTCb0798fkZGRuOWWW/D8888jLi7ugg5FqVRKY0F8XC5Xi7q6ujoUFhZCpVLhxx9/vKDPIiIi+bFnpCMpFN5TJXJMbRgv4uMbN7JkyRIpePjCSF5eHm677baA+oSEBMyYMQOffvopnnnmGbz77rtn3bfH4wHgfQLyherWrRuqq6tRW1srrWvtHiTPPPMMlEolNm3ahDfffBNbt2694M8kIiL5sGfkKhQREYEhQ4bgo48+wrJlywAAY8aMwX333QeXyxXQMzJ79mxMmDAB1113Hc6cOYNt27ZhwIABAICNGzeioqICN9xwA0JDQ3HgwAHMnTsXo0ePxjXXXHPB7UtOToZer8d//dd/4fe//z127dqFVatWBdRs2LABf/vb31BQUIDhw4dj7ty5mDp1Kn744QdERERc8GcTEdGlx56Rq9Stt94Kt9st9YJERkYiKSkJJpMJ/fr1k+rcbjfS09MxYMAAjB8/Htdddx1WrFgBAAgODsa7776Lm2++GQMGDMCcOXPwH//xH1i/fv1FtS0yMhL/8z//g40bN2Lw4MH4+9//HnAJ8IkTJzBt2jS88MILGD58OADgxRdfRGxs7HnvcUJERF2PQjQ/OU8Sm80Go9EIq9Xa4o6idrsdJSUl6NWrF3Q6nUwtpAvBvx0RUec7129oc+wZISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVw8hF8t3kiy4f/JsREXUtvOnZBdJoNFAqlSgrK0O3bt2g0WikR9xT1ySEgNPpxIkTJ6BUKqHRaORuEhERgWHkgimVSvTq1Qvl5eUoK5PpeTR0QfR6PRITE6FUsmOQiKgrYBi5CBqNBomJiWhoaIDb7Za7OdQGKpUKQUFB7MUiIupCGEYukkKhgFqthlqtlrspRERElyX2UxMREZGsroowsnz5clxzzTXQ6XRITk7G7t275W4SERERNbriw8jHH3+MjIwMLFiwAN999x2GDh2K1NRUVFZWyt00IiIiwlXw1N7k5GTccMMNWLZsGQDvPSYSEhLw1FNP4dlnnw2odTgccDgc0rLVakViYiKOHj163icOEhERURObzYaEhARUVVXBaDSes/aKHsDqdDpRWFiIrKwsaZ1SqURKSgoKCgpa1GdnZ+PFF19ssT4hIaFT20lERHSlqq6uvrrDyMmTJ+F2uxEbGxuwPjY2FocPH25Rn5WVhYyMDGnZ4/Hg9OnTiIqK4qWgaEq57Cm6tPi9y4Pfuzz4vcujM753IQSqq6sRHx9/3torOoy0l1arhVarDVgXHh4uT2O6MIPBwP9IyIDfuzz4vcuD37s8Ovp7P1+PiM8VPYA1OjoaKpUKFRUVAesrKipgMplkahURERH5u6LDiEajwYgRI5Cbmyut83g8yM3NhdlslrFlRERE5HPFn6bJyMjA1KlTMXLkSIwaNQpLly5FbW0tHn30UbmbdtnRarVYsGBBi1NZ1Ln4vcuD37s8+L3LQ+7v/Yq/tBcAli1bhsWLF8NisWDYsGF48803kZycLHeziIiICFdJGCEiIqKu64oeM0JERERdH8MIERERyYphhIiIiGTFMEJERESyYhih88rOzsYNN9yAsLAwxMTEYOLEiSguLpa7WVedhQsXQqFQYPbs2XI35Yp3/Phx/O53v0NUVBSCg4MxePBgfPvtt3I364rmdrvx/PPPo1evXggODsa1116LP/7xj+A1Fh1r+/btuPPOOxEfHw+FQoHPPvssYLsQAvPnz0dcXByCg4ORkpKCH3/8sdPbxTBC55Wfn4/09HTs3LkTOTk5cLlcGDduHGpra+Vu2lVjz549+Mtf/oIhQ4bI3ZQr3pkzZzB69Gio1Wps2rQJBw8exJ///GdERETI3bQr2p/+9CesXLkSy5Ytw6FDh/CnP/0JixYtwltvvSV3064otbW1GDp0KJYvX97q9kWLFuHNN9/E22+/jV27diEkJASpqamw2+2d2i5e2kvtduLECcTExCA/Px9jxoyRuzlXvJqaGgwfPhwrVqzAyy+/jGHDhmHp0qVyN+uK9eyzz+Kbb77BP//5T7mbclW54447EBsbi7/+9a/SukmTJiE4OBj/8z//I2PLrlwKhQLr1q3DxIkTAXh7ReLj4/HMM8/gD3/4AwDAarUiNjYWq1atwgMPPNBpbWHPCLWb1WoFAERGRsrckqtDeno60tLSkJKSIndTrgpffPEFRo4cid/+9reIiYnB9ddfj3fffVfuZl3xbrrpJuTm5uJf//oXAOD777/H119/jQkTJsjcsqtHSUkJLBZLwH9rjEYjkpOTUVBQ0KmffcXfDp46lsfjwezZszF69GgMGjRI7uZc8dasWYPvvvsOe/bskbspV41///vfWLlyJTIyMvBf//Vf2LNnD37/+99Do9Fg6tSpcjfvivXss8/CZrOhf//+UKlUcLvdeOWVVzBlyhS5m3bVsFgsAIDY2NiA9bGxsdK2zsIwQu2Snp6O/fv34+uvv5a7KVe8o0eP4umnn0ZOTg50Op3czblqeDwejBw5Eq+++ioA4Prrr8f+/fvx9ttvM4x0ok8++QQfffQRVq9ejYEDB6KoqAizZ89GfHw8v/erAE/TUJvNmjUL69evx7Zt29CjRw+5m3PFKywsRGVlJYYPH46goCAEBQUhPz8fb775JoKCguB2u+Vu4hUpLi4OSUlJAesGDBiA0tJSmVp0dZg7dy6effZZPPDAAxg8eDAeeughzJkzB9nZ2XI37aphMpkAABUVFQHrKyoqpG2dhWGEzksIgVmzZmHdunXYunUrevXqJXeTrgpjx47Fvn37UFRUJE0jR47ElClTUFRUBJVKJXcTr0ijR49ucen6v/71L/Ts2VOmFl0d6urqoFQG/iSpVCp4PB6ZWnT16dWrF0wmE3Jzc6V1NpsNu3btgtls7tTP5mkaOq/09HSsXr0an3/+OcLCwqRzh0ajEcHBwTK37soVFhbWYlxOSEgIoqKiOF6nE82ZMwc33XQTXn31Vdx3333YvXs33nnnHbzzzjtyN+2Kduedd+KVV15BYmIiBg4ciL179+L111/HY489JnfTrig1NTX46aefpOWSkhIUFRUhMjISiYmJmD17Nl5++WX07dsXvXr1wvPPP4/4+HjpiptOI4jOA0Cr0/vvvy930646t956q3j66aflbsYV78svvxSDBg0SWq1W9O/fX7zzzjtyN+mKZ7PZxNNPPy0SExOFTqcTvXv3Fv/v//0/4XA45G7aFWXbtm2t/vd86tSpQgghPB6PeP7550VsbKzQarVi7Nixori4uNPbxfuMEBERkaw4ZoSIiIhkxTBCREREsmIYISIiIlkxjBAREZGsGEaIiIhIVgwjREREJCuGESIiIpIVwwgRERHJimGEiIiIZMUwQkRERLJiGCEiIiJZ/X8xniZsV7QEHgAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pi, fi, df_ws3, df_cbm = compare_ws3_cbm(pools=pools, fluxes=fluxes)" ] }, { "cell_type": "markdown", "id": "bc364d0e-56db-485a-a7b2-445862c09280", "metadata": {}, "source": [ "Looks pretty good!" ] }, { "cell_type": "markdown", "id": "a9b57914-75a0-4fea-a703-f354edcc7adb", "metadata": {}, "source": [ "Next, simulate some harvesting. " ] }, { "cell_type": "markdown", "id": "ad32dae4-f8c6-4a3e-89fc-ac97ec22feab", "metadata": {}, "source": [ "Next, we use the `schedule_harvest_areacontrol` function defined in the local `util` module to simulate some harvesting in all periods. We expect there will be more of a gap between `ws3` and `libcbm` carbon estimates, although we still expect `ws3` output to be highly correlated with `libcbm`. " ] }, { "cell_type": "code", "execution_count": 52, "id": "a28363fa-4e93-4894-852c-069225768f40", "metadata": { "tags": [] }, "outputs": [], "source": [ "fm.reset()" ] }, { "cell_type": "code", "execution_count": 53, "id": "8ef121dd-7d25-4f1b-a62b-df280d29966c", "metadata": { "tags": [] }, "outputs": [], "source": [ "from util import schedule_harvest_areacontrol" ] }, { "cell_type": "code", "execution_count": 54, "id": "0f02305b-8265-425d-861c-5dc96fd5a77d", "metadata": { "tags": [] }, "outputs": [], "source": [ "sch = schedule_harvest_areacontrol(fm)" ] }, { "cell_type": "code", "execution_count": 55, "id": "2dffce8b-acac-474e-b747-f483871a2538", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(
,\n", " array([,\n", " ,\n", " ], dtype=object))" ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df = compile_scenario(fm)\n", "plot_scenario(df)" ] }, { "cell_type": "code", "execution_count": 56, "id": "4c4ce8c7-1072-4112-aaca-5be52155ace8", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pi, fi, df_ws3, df_cbm = compare_ws3_cbm(pools=pools, fluxes=fluxes)" ] }, { "cell_type": "markdown", "id": "3fa54eb3-0731-4af8-8980-6a975c98cef9", "metadata": {}, "source": [ "As expected, when we include harvesting disturbances in our simulation `ws3` carbon indicators diverge from corresponding `libcbm` indicators. The gaps for stocks and fluxes are substantial (and of different magnitudes), but output from both models is hightly correlated. So even with some estimations error, we could likely still use these carbon indicators to define optimization problems in `ws3` and get a useful response from the model." ] }, { "cell_type": "code", "execution_count": 57, "id": "27573b98-55bf-4641-a875-7539308edba6", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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periodpoolfluxha
01273038.2240793684.318154103.411088
12272183.3174383555.014049105.655079
23270757.4254893423.239007103.411088
34269290.9844143279.680491103.411088
45268189.4152033145.807922103.411088
56267189.5912663022.501985103.411088
67266209.8868372922.140693103.411088
78264538.2695952802.888808114.043292
89261988.9738562742.978337114.043292
910260038.6257032699.396679114.043292
\n", "
" ], "text/plain": [ " period pool flux ha\n", "0 1 273038.224079 3684.318154 103.411088\n", "1 2 272183.317438 3555.014049 105.655079\n", "2 3 270757.425489 3423.239007 103.411088\n", "3 4 269290.984414 3279.680491 103.411088\n", "4 5 268189.415203 3145.807922 103.411088\n", "5 6 267189.591266 3022.501985 103.411088\n", "6 7 266209.886837 2922.140693 103.411088\n", "7 8 264538.269595 2802.888808 114.043292\n", "8 9 261988.973856 2742.978337 114.043292\n", "9 10 260038.625703 2699.396679 114.043292" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_ws3" ] }, { "cell_type": "code", "execution_count": 58, "id": "4c296d0f-27b8-4d0a-bd11-2be8f20d6c8e", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "np.float64(1.0349424535173106)" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pool_corr = (df_cbm[\"pool\"] / df_ws3[\"pool\"]).mean()\n", "pool_corr" ] }, { "cell_type": "code", "execution_count": 59, "id": "6d43f85e-7389-4c9b-b436-bfcfe3cc5688", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "np.float64(6.833749380341729)" ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "flux_corr = ((df_cbm[\"flux\"] - df_ws3[\"flux\"]) / df_ws3[\"ha\"]).mean()\n", "flux_corr" ] }, { "cell_type": "markdown", "id": "fa3f95d1-0db5-47e5-b74d-d397244041f7", "metadata": {}, "source": [ "Apply correction." ] }, { "cell_type": "code", "execution_count": 60, "id": "f1574ac7-db34-41b0-86bc-0352ff650c9b", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pi, fi, df_ws3, df_cbm = compare_ws3_cbm(pools=pools, fluxes=fluxes,\n", " ws3_pool_coeff=pool_corr,\n", " ws3_flux_const=flux_corr*df_ws3[\"ha\"])" ] }, { "cell_type": "markdown", "id": "bc3e8b3c-ba31-4dac-953a-b79ed285dea8", "metadata": {}, "source": [ "Looking good!" ] }, { "cell_type": "markdown", "id": "b7d26863-5342-4a5b-92bc-0401ae5b7097", "metadata": {}, "source": [ "Schedule some more harvesting on top of previous solution, to see how stable the gaps are. Not super important what the exact harvest pattern is here, as long as it is distinct from the previous scenario." ] }, { "cell_type": "code", "execution_count": 61, "id": "c7e0fc31-6ec1-4a20-8a67-ee4e0b7804cf", "metadata": { "tags": [] }, "outputs": [], "source": [ "sch = schedule_harvest_areacontrol(fm)" ] }, { "cell_type": "code", "execution_count": 62, "id": "3268db34-f22a-48be-bf46-d88dbe0b8798", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(
,\n", " array([,\n", " ,\n", " ], dtype=object))" ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df = compile_scenario(fm)\n", "plot_scenario(df)" ] }, { "cell_type": "markdown", "id": "65131501-461a-4710-9eaa-94c5ec1ac30c", "metadata": {}, "source": [ "No correction." ] }, { "cell_type": "code", "execution_count": 63, "id": "caee0b38-0c95-45a2-a77e-2308439bf16c", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pi, fi, df_ws3, df_cbm = compare_ws3_cbm(pools=pools, fluxes=fluxes)" ] }, { "cell_type": "markdown", "id": "238e1c41-62d1-4b58-952d-e0b9c349db1f", "metadata": {}, "source": [ "With correction." ] }, { "cell_type": "code", "execution_count": 64, "id": "80a19683-6d02-43ab-b95a-76fac5886d11", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pi, fi, df_ws3, df_cbm = compare_ws3_cbm(pools=pools, fluxes=fluxes,\n", " ws3_pool_coeff=pool_corr,\n", " ws3_flux_const=flux_corr*df_ws3[\"ha\"])" ] }, { "cell_type": "markdown", "id": "7f0050eb-4421-4b07-bf14-024b99c1cf04", "metadata": {}, "source": [ "Very nice! Now try again with more harvesting, to test stability of the correction hack." ] }, { "cell_type": "code", "execution_count": 65, "id": "7b903876-6ce9-46e5-97d9-a8b49f7c87f3", "metadata": { "tags": [] }, "outputs": [], "source": [ "sch = schedule_harvest_areacontrol(fm)" ] }, { "cell_type": "code", "execution_count": 66, "id": "1f5df083-6045-4e1e-8e7b-e6839cf1a07c", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(
,\n", " array([,\n", " ,\n", " ], dtype=object))" ] }, "execution_count": 66, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df = compile_scenario(fm)\n", "plot_scenario(df)" ] }, { "cell_type": "markdown", "id": "932af0a1-da03-47af-82c6-2912d064905d", "metadata": {}, "source": [ "No correction." ] }, { "cell_type": "code", "execution_count": 67, "id": "763c6dbd-8b3c-4413-bda1-7856fdb85f64", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pi, fi, df_ws3, df_cbm = compare_ws3_cbm(pools=pools, fluxes=fluxes)" ] }, { "cell_type": "markdown", "id": "6afe2f45-85f5-47df-95a9-b6b1663bbe4f", "metadata": {}, "source": [ "With correction." ] }, { "cell_type": "code", "execution_count": 68, "id": "c1e8d0b9-bf87-4d56-9740-16dab049cd35", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": 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cc+zfv5877riDX/7ylzzzzDMAZGZm0rNnT+6//37uvfde5s2bx8SJE5k1axapqakA/Oc//+GOO+7grbfeYvDgwbz00kvMmDGDjIwM4uLiABg3bhyzZs1i+vTpREREMGHCBOx2O4sXL/b5N1LOToWlFSzedrA6nOTWmbSofYtQhneJY3iXWAadqNXEMMxfsptnmq0mx87q2Gqg2fm169XQomMTXY1IM1JVYS40Vzt4HNyC13wfYAb3+B5UJPRjh6MbS0rb8n2ukzV7XbhK6waPoAA7PZLM4NG7uq9H+xah2C2a2EuO74zdpsnNzSUuLo6FCxcybNgwwAwjffv25aWXXqr3NV9//TVXX301+/bt87RQvPXWWzz22GPk5uYSGBjIY489xqxZs1i/fr3ndbfccgv5+fnMmTMHgMGDBzNw4EBee+01ANxuN8nJyTz44IP89re/paCggNjYWD788ENuvPFGADZv3ky3bt1IS0vjwgsvrFO3srIyysqOrkvgcrlITk5WGDlPGIbB5uxarSa7DlNVq9UkOMCPlA4xXNolluFd4kiOPkGrycGtR4PJ3pXex2K7mqGk29WQ2Fcjc+TsZxiQn2WGjprgsX/NMbdbqkW2hpYDKIrtyzo68n1BImlZxWzc56ozsiXQz063JKfnNkvvVhF0jA0776ZVP1s1Joyc1jCAgoICAKKjo732f/DBB/z73/8mISGBa665hscff5yQEPMXd1paGr169fK6VZKamsq4cePYsGEDF1xwAWlpaYwcOdLrnKmpqUycOBGA8vJy0tPTmTJliue43W5n5MiRpKWlAZCenk5FRYXXebp27Urr1q2PG0amTp3K008/fRrfETmb2Ww2uiU66ZboZNzwDrhKK1i8tbrVZMsBclxlfL/5AN9vPgBsoH1sKMM7x3FpV7PVxOFfq9WkRSe4eJK5ufYdnWRt5w+Qu9ncfngenK3MWzndrjaHImpkjpwNSgtg709m0N5THUDqu93iiICW/TBa9ueAsxfLytvy434bK3YeJjO9uLrQfk/xVlHBDGobTf+2UfRpFUnn+PCGr+otZ7VT/s3ndruZOHEiQ4YMoWfPnp79//d//0ebNm1ISkpi7dq1PPbYY2RkZPDpp58CkJ2dXafPRs3z7OzsE5ZxuVyUlJRw+PBhqqqq6i2zefNmzzkCAwOJjIysU6bmfY41ZcoUJk+e7Hle0zIi5ydnUABX9krkyl6JGIbBpv2FLNhygAUZuaTvOsyO3GJ25Gbyj8WZBAf4cVGHGIZ3jWN451jvVhNnEgz6pbmVHDZHCGyuHpnj2gPL3za34OjqNXNGmVNUa2SONAdVFZCzoVbwWHnMBIHV7P4Q3xNaDcCd1J9tgV1ZcjiCFbsKWLE0jwOFZcDRflU2G3SJD2dg22gGtotmYNsoEiP0b/58dcphZPz48axfv54ff/zRa/99993nedyrVy8SExMZMWIE27dvp0OH5j2LpcPhwOHQ+HKpy2az0T3JSfckJw8M70hBSU1fEzOcHCgsY97mA8zbbP512CE2lEu7xDG8SxwD20UdbTUJjoI+N5tbRYm5aNfmmeacJiV5sPoDcwsIMUfmdL3GnMApOMrCq5fzhmFA/q7qWy3VwWP/GqisZwG4qLbQsj+0HEBZwgWsqWzDij1HWJ6Zx0/LD1NYtp/arR4BfjZ6t4pkYNtoBrWLon/r6Iavyi3nvFMKIxMmTGDmzJksWrSIVq1anbDs4MGDAdi2bRsdOnQgISGB5cuXe5XJyTHXEEhISPB8rdlXu4zT6SQ4OBg/Pz/8/PzqLVP7HOXl5eTn53u1jtQuI3KqIoIDuKpXIldVt5ps3O9iQUYuCzNySc86zPbcYrbnZvLuj5mEBFa3mlR3hG0VVd1qEhAMXa8yt6pKyFpi3srZNNNsMdn0lbnZ/c2JndpfYt7KadkP/BWaxQdK8s0lEWqCx950KM6tWy4owhM8aDUAV0xvVubaWbHzMCtW57F2Tz7lVXleLwlz+NOvTRSD2kYxsG00fZIjTz7ZoJy3GhVGDMPgwQcf5LPPPmPBggW0a9fupK9ZvXo1AImJ5tDGlJQU/vznP3PgwAHPqJe5c+fidDrp3r27p8zs2bO9zjN37lxSUlIACAwMpH///sybN4/rrrsOMG8bzZs3jwkTJgDQv39/AgICmDdvHqNHjwYgIyODrKwsz3lEfMFms9EjKYIeSRGMv9RsNflxa3WryZZccgvL+G7TAb7bZLaadIwL80y4NqBtdauJX/VQ4HbD4IpnzRVHa9bMyd0MmQvNDcDPYY7OaZMCbS6CVoPAEWbdN0DODpXlcGCD9+iWQ1vrlrMHQEJPT/Cg5QCy/VuyfNdhVu7MY/nsPDJyfqqzfkuLMAeD2pnBY2DbaLolOi1bul7OPo0aTfPAAw/w4Ycf8sUXX3jNLRIREUFwcDDbt2/nww8/5KqrriImJoa1a9cyadIkWrVq5Zl7pGZob1JSEtOmTSM7O5sxY8Zw77331hnaO378eO6++26+//57HnrooTpDe8eOHcvbb7/NoEGDeOmll/jkk0/YvHmzpy/JuHHjmD17NtOnT8fpdPLggw8CsGTJkgZdr4b2yukyDIMN+1ws3GKO0PkpK99rhI7ZatKCS7uaI3Ra1reGzsFt5iqku5aY25GD3sdtfpDU15yavs0QaH0hhETXPY+cP2put9QOHvvXQFVZ3bJRbb2Ch5HQk+2Hq1ixM48VmXms2JXH7ry6o2LatQhlYNsoBrSNZlDbaM3rIXU02dDe4/1D++c//8mdd97J7t27uf3221m/fj3FxcUkJydz/fXX84c//MGrIrt27WLcuHEsWLCA0NBQxo4dy7PPPltn0rNJkyaxceNGWrVqxeOPP15n0rPXXnvNM+lZ3759eeWVVzy3heDopGcfffSR16RnDb1NozAivlZwpIIftx1kfsYBFla3mtTWKS6sesK1WAa0ja47kqBmpdKsJUfDScHuum8U191sNWlzkXlrR5OunZvcbvPnn5tRPUqr1tfywrrlgyLN2y3VwYOW/akIimLjPhcrduaxPDOPlbsOk1dc7vUyuw26Jzk9rR4D2kYRF+6blV3l3KXp4H1EYUSakttd09fE7AT7U9Zhr3kWQgP9uKhjCy7tEsclXWLrbzUBc36HXWnmbLC7ltTf9B7Vzmw1qbm1E9VO85ucTdxV5gq1x4aOg1u8F46rzR4ACb2OBo9WAyC6PUcqqlidlc/ynXms2JnHqqx8jpR7T6fu8LfTNzmSQe2iGdA2mn6tIwkPUmdTaRyFER9RGJEzqeBIBT9sy2X+5lwWbsnlYJF3q0lcuIPerSKrp7w219uICaunI2vRAchKO9pykr2OOrNehidWt5pU39qJ7Qp2zedguaoKyMus28pxcEv9t1jAXLk2phPEdjF/jjVfo9uDfyB5xeWsrA4ey3ceZsPeAq8lEMBcx6X2ENueLSO8580ROQUKIz6iMCJWqd1qMj8jl1XHtJrUaBkZ7AknfVpF0rNlBBHBx/wFW5IPu5ebLSdZaeZkVe4K7zLBUdXBpPrWTkIfTcDWlCrL4ND2uqHj0La6P5sa/kHQorN34Ijtavb58PPHMAyyXaXV898UsXF/ISt25rHtQFGdUyVGBHnCx6C20XSKC9N06uJzCiM+ojAizcWR8ko27nOZK5XuLWDtnnx2HCyuM6IBoG1MyNEWlJYR9GgZQZijVrAoP2J2aty1xAwoe1bUbeoPCIXkQdW3di4y+xkEqI9Ao1WUmH18PIGjOnTk7QCj7kqzgPm9P7aVI7aLOY263Y8j5ZVm4Dhohg7zcRGZucUUl9d/zo5xYZ75PQa2jdbqtXJGKIz4iMKINGeFpRWs3+ti3d581lQvp56VV7f/gM0GHWPDPLd2eidH0j3ReXTOh6oKc6RFTZ+TrDRzuu/a/ALNQFLTITZ5EATp/4RHWZF5K+XYPh2Hd1LnFlkNh7NuK0dsF3C2xI2NvfkldQLHjtxi9hfUMwFZNT+7jdbRIbRvEUrH+DD6tzZHu0SHBjbJZYuciMKIjyiMyNkm/0i5V+vJuj0F7Kvnw8vPbqNzfHh1OImgd8tIuiRUrwPidpurrda0nGSlQZH3BIPY7JDQ+2in2NYXQWjMGbpKC5UWQO4W71aO3AwoyDr+a4KjILZb3daO8ARcZZWe2yq1A0fmwWLKKt3HPWV0aCDtW4TSPjaU9rFh1Y/DaB0dorVcpNlQGPERhRE5FxwoLGX93gIzpOwpYM2egjqdY6F6hdTE8OoWlEh6tYqgU1wY/nabeVth1+Kjo3byd9V9o9iuRzvEtrkIIlqegas7AXeV2erjrjC/Hu+xuxKqymvtq37urjgmfGRA4b7jv19oXD23V7pSGRTN7vxSr8CxPbeYHbnF9f4cagT62WkTE1IncHSIDSUyRC0d0vwpjPiIwoici2o6Oq7dY7ae1LSk5B+p23EyKMBOjySz70mf5Ah6tYykfYtQ7IX7qkfsVN/ayd1c940i25ihJKmfea/ouAGgsjoglB993KgAcZxzHe/2yOkKT6q3T8dhI8wTNLbXBI/cIrLyjlBRdfy6xIY7vIJG+9hQ2rcIo1VUMP5+auWQs5fCiI8ojMj5wjAMdueVsHaveWunJqAUlVXWKRvm8KdnSye9W0XSq2UEvVtF0DqoBFvW0qO3drLXgnH82wzWsJl9X/wCzPV+/ALM5/U9tgeYXwNDIaajp5WjPKojWUf8PS0bO3KLPP06DtcT5mo4/O20axFKh9iw6pYOM3C0iw3Fqfk75BylMOIjCiNyPnO7DTIPFVff2jFDyvp9BZRW1A0ZEcEBntE7vVtF0ifWToJrLbasJebtDZv9+B/4nseB5nDiOvuPeVxnn3/1eQMw7P5U2vypxJ9Kmx+VRs1zPyoNO5Vug8oqNxVVBlVugwq3m8oqg8rqr1Vug4oqt1nObVBYWkFmrZEruw+XeE3nf6ykiCDzlkpsqKe1o31sKEkRwRo6K+cdhREfURgR8VZZ5WZ7brEnnKzdW8CmfS7Kq+oGlBZhgfRqGUHnhHBs2KhymyGg0u2u/tCv9eFfZVQHAO9wUOE2qKp5XOX9ukq32/scbuOEQcFXQgP9agWOoy0d7VqEEhKouVlEaiiM+IjCiMjJlVe62ZJT6NUHJSOn8IwEg4YK8LPhb7fjb7fh72fDz24393ntP3o8wG7Hz24jONCPtjGhnsDRITaMuHCH5ugQaQCFER9RGBE5NaUVVWzab07SlnmwGLvN5vnw97PbCTjmw//YMOBfHRb87HavcGCe45jXVZfxr122+liAnx277fiLfIpI02nMZ6jaFEXE54IC/LigdRQXtI6yuioichbQuDERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiKYURERERsZTCiIiIiFhKYUREREQspTAiIiIillIYEREREUspjIiIiIilFEZERETEUgojIiIiYimFEREREbGUwoiIiIhYSmFERERELKUwIiIiIpZSGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxVKPCyNSpUxk4cCDh4eHExcVx3XXXkZGR4VWmtLSU8ePHExMTQ1hYGKNHjyYnJ8erTFZWFqNGjSIkJIS4uDgeeeQRKisrvcosWLCAfv364XA46NixI9OnT69Tn9dff522bdsSFBTE4MGDWb58eaPrIiIiItZqVBhZuHAh48ePZ+nSpcydO5eKigouv/xyiouLPWUmTZrEV199xYwZM1i4cCH79u3jhhtu8Byvqqpi1KhRlJeXs2TJEt577z2mT5/OE0884SmTmZnJqFGjuPTSS1m9ejUTJ07k3nvv5ZtvvvGU+c9//sPkyZN58skn+emnn+jTpw+pqakcOHCgwXURERGRZsA4DQcOHDAAY+HChYZhGEZ+fr4REBBgzJgxw1Nm06ZNBmCkpaUZhmEYs2fPNux2u5Gdne0p8+abbxpOp9MoKyszDMMwHn30UaNHjx5e73XzzTcbqampnueDBg0yxo8f73leVVVlJCUlGVOnTm1wXU6moKDAAIyCgoIGlRcRERFTYz5DT6vPSEFBAQDR0dEApKenU1FRwciRIz1lunbtSuvWrUlLSwMgLS2NXr16ER8f7ymTmpqKy+Viw4YNnjK1z1FTpuYc5eXlpKene5Wx2+2MHDnSU6YhdTlWWVkZLpfLaxMREZGmdcphxO12M3HiRIYMGULPnj0ByM7OJjAwkMjISK+y8fHxZGdne8rUDiI1x2uOnaiMy+WipKSEgwcPUlVVVW+Z2uc4WV2ONXXqVCIiIjxbcnJyA78bIiIicqpOOYyMHz+e9evX8/HHH/uyPpaaMmUKBQUFnm337t1WV0lEROSc538qL5owYQIzZ85k0aJFtGrVyrM/ISGB8vJy8vPzvVokcnJySEhI8JQ5dtRLzQiX2mWOHfWSk5OD0+kkODgYPz8//Pz86i1T+xwnq8uxHA4HDoejEd8JEREROV2NahkxDIMJEybw2Wef8f3339OuXTuv4/379ycgIIB58+Z59mVkZJCVlUVKSgoAKSkprFu3zmvUy9y5c3E6nXTv3t1TpvY5asrUnCMwMJD+/ft7lXG73cybN89TpiF1ERERkWagMT1jx40bZ0RERBgLFiww9u/f79mOHDniKXP//fcbrVu3Nr7//ntj5cqVRkpKipGSkuI5XllZafTs2dO4/PLLjdWrVxtz5swxYmNjjSlTpnjK7NixwwgJCTEeeeQRY9OmTcbrr79u+Pn5GXPmzPGU+fjjjw2Hw2FMnz7d2Lhxo3HfffcZkZGRXqN0TlaXk9FoGhERkVPTmM/QRoURoN7tn//8p6dMSUmJ8cADDxhRUVFGSEiIcf311xv79+/3Os/OnTuNK6+80ggODjZatGhhPPzww0ZFRYVXmfnz5xt9+/Y1AgMDjfbt23u9R41XX33VaN26tREYGGgMGjTIWLp0qdfxhtTlRBRGRERETk1jPkNthmEYVrXKNHcul4uIiAgKCgpwOp1WV0dEROSs0ZjPUK1NIyIiIpZSGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiKYURERERsZTCiIiIiFhKYUREREQspTAiIiIillIYEREREUspjIiIiIilFEZERETEUgojIiIiYimFEREREbGUwoiIiIhYSmFERERELKUwIiIiIpZSGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiKYURERERsVSjw8iiRYu45pprSEpKwmaz8fnnn3sdv/POO7HZbF7bFVdc4VUmLy+P2267DafTSWRkJPfccw9FRUVeZdauXcvQoUMJCgoiOTmZadOm1anLjBkz6Nq1K0FBQfTq1YvZs2d7HTcMgyeeeILExESCg4MZOXIkW7dubewli4iISBNqdBgpLi6mT58+vP7668ctc8UVV7B//37P9tFHH3kdv+2229iwYQNz585l5syZLFq0iPvuu89z3OVycfnll9OmTRvS09N57rnneOqpp/jb3/7mKbNkyRJuvfVW7rnnHlatWsV1113Hddddx/r16z1lpk2bxiuvvMJbb73FsmXLCA0NJTU1ldLS0sZetoiIiDQV4zQAxmeffea1b+zYsca111573Nds3LjRAIwVK1Z49n399deGzWYz9u7daxiGYbzxxhtGVFSUUVZW5inz2GOPGV26dPE8v+mmm4xRo0Z5nXvw4MHGr371K8MwDMPtdhsJCQnGc8895zmen59vOBwO46OPPmrQ9RUUFBiAUVBQ0KDyIiIiYmrMZ2iT9BlZsGABcXFxdOnShXHjxnHo0CHPsbS0NCIjIxkwYIBn38iRI7Hb7SxbtsxTZtiwYQQGBnrKpKamkpGRweHDhz1lRo4c6fW+qamppKWlAZCZmUl2drZXmYiICAYPHuwpc6yysjJcLpfXJiIiIk3L52Hkiiuu4P3332fevHn85S9/YeHChVx55ZVUVVUBkJ2dTVxcnNdr/P39iY6OJjs721MmPj7eq0zN85OVqX289uvqK3OsqVOnEhER4dmSk5Mbff0iIiLSOP6+PuEtt9ziedyrVy969+5Nhw4dWLBgASNGjPD12/nUlClTmDx5sue5y+VSIBEREWliTT60t3379rRo0YJt27YBkJCQwIEDB7zKVFZWkpeXR0JCgqdMTk6OV5ma5ycrU/t47dfVV+ZYDocDp9PptYmIiEjTavIwsmfPHg4dOkRiYiIAKSkp5Ofnk56e7inz/fff43a7GTx4sKfMokWLqKio8JSZO3cuXbp0ISoqylNm3rx5Xu81d+5cUlJSAGjXrh0JCQleZVwuF8uWLfOUERERkWagsb1jCwsLjVWrVhmrVq0yAOOFF14wVq1aZezatcsoLCw0fvOb3xhpaWlGZmam8d133xn9+vUzOnXqZJSWlnrOccUVVxgXXHCBsWzZMuPHH380OnXqZNx6662e4/n5+UZ8fLwxZswYY/369cbHH39shISEGG+//banzOLFiw1/f3/j+eefNzZt2mQ8+eSTRkBAgLFu3TpPmWeffdaIjIw0vvjiC2Pt2rXGtddea7Rr184oKSlp0LVqNI2IiMipacxnaKPDyPz58w2gzjZ27FjjyJEjxuWXX27ExsYaAQEBRps2bYxf/vKXRnZ2ttc5Dh06ZNx6661GWFiY4XQ6jbvuussoLCz0KrNmzRrj4osvNhwOh9GyZUvj2WefrVOXTz75xOjcubMRGBho9OjRw5g1a5bXcbfbbTz++ONGfHy84XA4jBEjRhgZGRkNvlaFERERkVPTmM9Qm2EYhlWtMs2dy+UiIiKCgoIC9R8RERFphMZ8hmptGhEREbGUwoiIiIhYSmFERERELKUwIiIiIpZSGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiKYURERERsZTCiIiIiFhKYUREREQspTAiIiIillIYEREREUspjIiIiIilFEZERETEUgojIiIiYimFEREREbGUwoiIiIhYSmFERERELKUwIiIiIpZSGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUaHUYWLVrENddcQ1JSEjabjc8//9zruGEYPPHEEyQmJhIcHMzIkSPZunWrV5m8vDxuu+02nE4nkZGR3HPPPRQVFXmVWbt2LUOHDiUoKIjk5GSmTZtWpy4zZsyga9euBAUF0atXL2bPnt3ouoiIiIi1Gh1GiouL6dOnD6+//nq9x6dNm8Yrr7zCW2+9xbJlywgNDSU1NZXS0lJPmdtuu40NGzYwd+5cZs6cyaJFi7jvvvs8x10uF5dffjlt2rQhPT2d5557jqeeeoq//e1vnjJLlizh1ltv5Z577mHVqlVcd911XHfddaxfv75RdRERERGLGacBMD777DPPc7fbbSQkJBjPPfecZ19+fr7hcDiMjz76yDAMw9i4caMBGCtWrPCU+frrrw2bzWbs3bvXMAzDeOONN4yoqCijrKzMU+axxx4zunTp4nl+0003GaNGjfKqz+DBg41f/epXDa7LyRQUFBiAUVBQ0KDyIiIiYmrMZ6hP+4xkZmaSnZ3NyJEjPfsiIiIYPHgwaWlpAKSlpREZGcmAAQM8ZUaOHIndbmfZsmWeMsOGDSMwMNBTJjU1lYyMDA4fPuwpU/t9asrUvE9D6nKssrIyXC6X1yYiIiJNy6dhJDs7G4D4+Hiv/fHx8Z5j2dnZxMXFeR339/cnOjraq0x956j9HscrU/v4yepyrKlTpxIREeHZkpOTG3DVIiIicjo0mqaWKVOmUFBQ4Nl2795tdZVERETOeT4NIwkJCQDk5OR47c/JyfEcS0hI4MCBA17HKysrycvL8ypT3zlqv8fxytQ+frK6HMvhcOB0Or02ERERaVo+DSPt2rUjISGBefPmefa5XC6WLVtGSkoKACkpKeTn55Oenu4p8/333+N2uxk8eLCnzKJFi6ioqPCUmTt3Ll26dCEqKspTpvb71JSpeZ+G1EVERESagcb2ji0sLDRWrVplrFq1ygCMF154wVi1apWxa9cuwzAM49lnnzUiIyONL774wli7dq1x7bXXGu3atTNKSko857jiiiuMCy64wFi2bJnx448/Gp06dTJuvfVWz/H8/HwjPj7eGDNmjLF+/Xrj448/NkJCQoy3337bU2bx4sWGv7+/8fzzzxubNm0ynnzySSMgIMBYt26dp0xD6nIiGk0jIiJyahrzGdroMDJ//nwDqLONHTvWMAxzSO3jjz9uxMfHGw6HwxgxYoSRkZHhdY5Dhw4Zt956qxEWFmY4nU7jrrvuMgoLC73KrFmzxrj44osNh8NhtGzZ0nj22Wfr1OWTTz4xOnfubAQGBho9evQwZs2a5XW8IXU5EYURERGRU9OYz1CbYRiGVa0yzZ3L5SIiIoKCggL1HxEREWmExnyGajSNiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiKYURERERsZTCiIiIiFhKYUREREQspTAiIiIillIYEREREUspjIiIiIilFEZERETEUgojIiIiYimFEREREbGUwoiIiIhYSmFERERELKUwIiIiIpZSGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiKYURERERsZTCiIiIiFhKYUREREQspTAiIiIillIYEREREUspjIiIiIil/K2uwLmgqqqKiooKq6shpyAwMBC7XZlcRMRKPg8jTz31FE8//bTXvi5durB582YASktLefjhh/n4448pKysjNTWVN954g/j4eE/5rKwsxo0bx/z58wkLC2Ps2LFMnToVf/+j1V2wYAGTJ09mw4YNJCcn84c//IE777zT631ff/11nnvuObKzs+nTpw+vvvoqgwYN8tm1GoZBdnY2+fn5PjunnFl2u5127doRGBhodVVERM5bTdIy0qNHD7777rujb1IrREyaNIlZs2YxY8YMIiIimDBhAjfccAOLFy8GzFaGUaNGkZCQwJIlS9i/fz933HEHAQEBPPPMMwBkZmYyatQo7r//fj744APmzZvHvffeS2JiIqmpqQD85z//YfLkybz11lsMHjyYl156idTUVDIyMoiLi/PJddYEkbi4OEJCQrDZbD45r5wZbrebffv2sX//flq3bq2fn4iIVQwfe/LJJ40+ffrUeyw/P98ICAgwZsyY4dm3adMmAzDS0tIMwzCM2bNnG3a73cjOzvaUefPNNw2n02mUlZUZhmEYjz76qNGjRw+vc998881Gamqq5/mgQYOM8ePHe55XVVUZSUlJxtSpUxt8LQUFBQZgFBQU1DlWWVlpbNy40Th48GCDzyfNT35+vrFx40ajvLzc6qqIiJxTTvQZeqwmuVm+detWkpKSaN++PbfddhtZWVkApKenU1FRwciRIz1lu3btSuvWrUlLSwMgLS2NXr16ed22SU1NxeVysWHDBk+Z2ueoKVNzjvLyctLT073K2O12Ro4c6SlTn7KyMlwul9d2PDV9REJCQhr0PZHmqeb2TFVVlcU1ERE5f/k8jAwePJjp06czZ84c3nzzTTIzMxk6dCiFhYVkZ2cTGBhIZGSk12vi4+PJzs4GzFsftYNIzfGaYycq43K5KCkp4eDBg1RVVdVbpuYc9Zk6dSoRERGeLTk5+aTXq6b9s5t+fiIi1vN5n5Err7zS87h3794MHjyYNm3a8MknnxAcHOzrt/OpKVOmMHnyZM9zl8vVoEAiIiIip67JxzRGRkbSuXNntm3bRkJCAuXl5XVGn+Tk5JCQkABAQkICOTk5dY7XHDtRGafTSXBwMC1atMDPz6/eMjXnqI/D4cDpdHptIiIi0rSaPIwUFRWxfft2EhMT6d+/PwEBAcybN89zPCMjg6ysLFJSUgBISUlh3bp1HDhwwFNm7ty5OJ1Ounfv7ilT+xw1ZWrOERgYSP/+/b3KuN1u5s2b5ykj9du5cyc2m43Vq1dbXRWfeeqpp+jbt6/V1RARkePweRj5zW9+w8KFC9m5cydLlizh+uuvx8/Pj1tvvZWIiAjuueceJk+ezPz580lPT+euu+4iJSWFCy+8EIDLL7+c7t27M2bMGNasWcM333zDH/7wB8aPH4/D4QDg/vvvZ8eOHTz66KNs3ryZN954g08++YRJkyZ56jF58mTeeecd3nvvPTZt2sS4ceMoLi7mrrvu8vUli4iIyGnweZ+RPXv2cOutt3Lo0CFiY2O5+OKLWbp0KbGxsQC8+OKL2O12Ro8e7TXpWQ0/Pz9mzpzJuHHjSElJITQ0lLFjx/LHP/7RU6Zdu3bMmjWLSZMm8fLLL9OqVSveffddzxwjADfffDO5ubk88cQTZGdn07dvX+bMmVOnU6uIiIhY7AwMNT5rnWiMdElJibFx40ajpKTEs8/tdhvFZRWWbG63u8HXVVVVZfzlL38xOnToYAQGBhrJycnGn/70J8MwDCMzM9MAjI8++shISUkxHA6H0aNHD2PBggWe18+fP98AjDlz5hh9+/Y1goKCjEsvvdTIyckxZs+ebXTt2tUIDw83br31VqO4uPi49fjnP/9pREREGJ999pnRsWNHw+FwGJdffrmRlZXlVe6NN94w2rdvbwQEBBidO3c23n//fa/ju3btMn7+858boaGhRnh4uPGLX/zCa56aE819U9/PUURETl9j5hnR2jQ+VFJRRfcnvrHkvTf+MZWQwIb9OKdMmcI777zDiy++yMUXX8z+/fs90/XXeOSRR3jppZfo3r07L7zwAtdccw2ZmZnExMR4yjz11FO89tprhISEcNNNN3HTTTfhcDj48MMPKSoq4vrrr+fVV1/lscceO25djhw5wp///Gfef/99AgMDeeCBB7jllls8M/J+9tln/PrXv+all15i5MiRzJw5k7vuuotWrVpx6aWX4na7ufbaawkLC2PhwoVUVlYyfvx4br75ZhYsWND4b6SIiJxxCiPnmcLCQl5++WVee+01xo4dC0CHDh24+OKLvcpNmDCB0aNHA/Dmm28yZ84c/v73v/Poo496yvzpT39iyJAhANxzzz1MmTKF7du30759ewBuvPFG5s+ff8IwUlFRwWuvvcbgwYMBeO+99+jWrRvLly9n0KBBPP/889x555088MADgNkXaOnSpTz//PNceumlzJs3j3Xr1pGZmekZhv3+++/To0cPVqxYwcCBA33xbRMRkSakMOJDwQF+bPxj6skLNtF7N8SmTZsoKytjxIgRJyxXe9SRv78/AwYMYNOmTV5levfu7XkcHx9PSEiIJ4jU7Fu+fPkJ38ff398rMHTt2pXIyEg2bdrEoEGD2LRpE/fdd5/Xa4YMGcLLL7/suZ7k5GSv+WC6d+/uOYfCiIhI86cw4kM2m63Bt0qs4suJ5wICAjyPbTab1/OafW6322fvJyIi56Ymn2dEmpdOnToRHBxcZ56WYy1dutTzuLKykvT0dLp16+bz+lRWVrJy5UrP84yMDPLz8z3v1a1bN0//kRqLFy/2zDnTrVs3du/eze7duz3HN27cSH5+vqeMiIg0b837z3jxuaCgIB577DEeffRRAgMDGTJkCLm5uWzYsIF77rnHU+7111+nU6dOdOvWjRdffJHDhw9z9913+7w+AQEBPPjgg7zyyiv4+/szYcIELrzwQgYNGgSYHWlvuukmLrjgAkaOHMlXX33Fp59+ynfffQfAyJEj6dWrF7fddhsvvfQSlZWVPPDAA1xyySUMGDDA5/UVERHfUxg5Dz3++OP4+/vzxBNPsG/fPhITE7n//vu9yjz77LM8++yzrF69mo4dO/Lll1/SokULn9clJCSExx57jP/7v/9j7969DB06lL///e+e49dddx0vv/wyzz//PL/+9a9p164d//znPxk+fDhg3gr64osvePDBBxk2bBh2u50rrriCV1991ed1FRGRpmEzDMOwuhLNlcvlIiIigoKCgjrr1JSWlpKZmUm7du0ICgqyqIZnt+nTpzNx4sQ6axWdSfo5iog0jRN9hh5LfUZERETEUgojIiIiYimFEbHMnXfeaektGhERaR4URkRERMRSCiMiIiJiKYURERERsZTCiIiIiFhKYUREREQspTAiIiIillIYkXPSggULsNlsGjosInIWUBiRU3bo0CGuuOIKkpKScDgcJCcnM2HCBFwul9VVExGRs4jCiJwyu93Otddey5dffsmWLVuYPn063333XZ1F90RERE5EYcSXDAPKi63ZGrje4cyZM4mMjKSqqgqA1atXY7PZ+O1vf+spc++993L77bcDsGvXLq655hqioqIIDQ2lR48ezJ49G4CoqCjGjRvHgAEDaNOmDSNGjOCBBx7ghx9+OO7779y5E5vNxscff8xFF11EUFAQPXv2ZOHChV7lFi5cyKBBg3A4HCQmJvLb3/6WyspKz/GysjIeeugh4uLiCAoK4uKLL2bFihUN+zmJiEiz4m91Bc4pFUfgmSRr3vt3+yAw9KTFhg4dSmFhIatWrWLAgAEsXLiQFi1asGDBAk+ZhQsX8thjjwEwfvx4ysvLWbRoEaGhoWzcuJGwsLB6z71v3z4+/fRTLrnkkpPW45FHHuGll16ie/fuvPDCC1xzzTVkZmYSExPD3r17ueqqq7jzzjt5//332bx5M7/85S8JCgriqaeeAuDRRx/lf//7H++99x5t2rRh2rRppKamsm3bNqKjo0/+/RIRkWZDLSPnmYiICPr27esJHwsWLGDSpEmsWrWKoqIi9u7dy7Zt2zyBIisriyFDhtCrVy/at2/P1VdfzbBhw7zOeeuttxISEkLLli1xOp28++67J63HhAkTGD16NN26dePNN98kIiKCv//97wC88cYbJCcn89prr9G1a1euu+46nn76af7617/idrspLi7mzTff5LnnnuPKK6+ke/fuvPPOOwQHB3vOISIiZw+1jPhSQIjZQmHVezfQJZdcwoIFC3j44Yf54YcfmDp1Kp988gk//vgjeXl5JCUl0alTJwAeeughxo0bx7fffsvIkSMZPXo0vXv39jrfiy++yJNPPsmWLVuYMmUKkydP5o033jhhHVJSUjyP/f39GTBgAJs2bQJg06ZNpKSkYLPZPGWGDBlCUVERe/bsIT8/n4qKCoYMGXL08gMCGDRokOccIiJy9lAY8SWbrUG3Sqw2fPhw/vGPf7BmzRoCAgLo2rUrw4cPZ8GCBRw+fNjrNsu9995Lamoqs2bN4ttvv2Xq1Kn89a9/5cEHH/SUSUhIICEhga5duxIdHc3QoUN5/PHHSUxMtOLyRETkLKPbNOehmn4jL774oid41ISRBQsWMHz4cK/yycnJ3H///Xz66ac8/PDDvPPOO8c9t9vtBswOpieydOlSz+PKykrS09Pp1q0bAN26dSMtLQ2jVqfcxYsXEx4eTqtWrejQoQOBgYEsXrzYc7yiooIVK1bQvXv3hn0TRESk2VDLyHkoKiqK3r1788EHH/Daa68BMGzYMG666SYqKiq8WkYmTpzIlVdeSefOnTl8+DDz58/3hIbZs2eTk5PDwIEDCQsLY8OGDTzyyCMMGTKEtm3bnrAOr7/+Op06daJbt268+OKLHD58mLvvvhuABx54gJdeeokHH3yQCRMmkJGRwZNPPsnkyZOx2+2EhoYybtw4HnnkEaKjo2ndujXTpk3jyJEj3HPPPU3zTRMRkSajMHKeuuSSS1i9erWnFSQ6Opru3buTk5NDly5dPOWqqqoYP348e/bswel0csUVV/Diiy8CEBwczDvvvMOkSZMoKysjOTmZG264wWuY8PE8++yzPPvss6xevZqOHTvy5Zdf0qJFCwBatmzJ7NmzeeSRR+jTpw/R0dHcc889/OEPf/B6vdvtZsyYMRQWFjJgwAC++eYboqKifPhdEhGRM8FmGA2coOI85HK5iIiIoKCgAKfT6XWstLSUzMxM2rVrR1BQkEU1PPvs3LmTdu3asWrVKvr27Wt1dfRzFBFpIif6DD2W+oyIiIiIpRRGRERExFLqMyJnVNu2bdGdQRERqU0tIyIiImIphZHTVDOvhpyd1EojImI93aY5RYGBgdjtdvbt20dsbCyBgYFe05dL82cYBrm5udhsNgICAqyujojIeUth5BTZ7XbatWvH/v372bfPovVo5LTZbDZatWqFn5+f1VURETlvKYychsDAQFq3bk1lZSVVVVVWV0dOQUBAgIKIiIjFFEZOU00Tv5r5RURETo06sIqIiIilzosw8vrrr9O2bVuCgoIYPHgwy5cvt7pKIiIiUu2cDyP/+c9/mDx5Mk8++SQ//fQTffr0ITU1lQMHDlhdNREREeE8WChv8ODBDBw4kNdeew0w5wVJTk7mwQcfrLO6bFlZGWVlZZ7nBQUFtG7dmt27d590kR8RERE5yuVykZycTH5+PhEREScse053YC0vLyc9PZ0pU6Z49tntdkaOHElaWlqd8lOnTuXpp5+usz85OblJ6ykiInKuKiwsPL/DyMGDB6mqqiI+Pt5rf3x8PJs3b65TfsqUKUyePNnz3O12k5eXR0xMjCY042jKVUvRmaXvuzX0fbeGvu/WaIrvu2EYFBYWkpSUdNKy53QYaSyHw4HD4fDaFxkZaU1lmjGn06lfEhbQ990a+r5bQ993a/j6+36yFpEa53QH1hYtWuDn50dOTo7X/pycHBISEiyqlYiIiNR2ToeRwMBA+vfvz7x58zz73G438+bNIyUlxcKaiYiISI1z/jbN5MmTGTt2LAMGDGDQoEG89NJLFBcXc9ddd1ldtbOOw+HgySefrHMrS5qWvu/W0PfdGvq+W8Pq7/s5P7QX4LXXXuO5554jOzubvn378sorrzB48GCrqyUiIiKcJ2FEREREmq9zus+IiIiINH8KIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiKYURERERsZTCiIiIiFhKYUREREQspTAiIiIillIYEREREUspjIiIiIilFEZERETEUgojIiIiYimFEREREbGUwoiIiIhYSmFERERELKUwIiIiIpZSGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiKYURERERsZTCiIiIiFhKYUREREQspTAiIiIillIYEREREUspjIiIiIilFEZERETEUgojIiIiYimFEREREbGUwoiIiIhYSmFERERELKUwIiIiIpZSGBERERFL+VtdgebM7Xazb98+wsPDsdlsVldHRETkrGEYBoWFhSQlJWG3n7jtQ2HkBPbt20dycrLV1RARETlr7d69m1atWp2wjMLICYSHhwPmN9LpdFpcGxERkbOHy+UiOTnZ81l6IgojJ1Bza8bpdCqMiIiInIKGdHNQB1YRERGxlMKIiIiIWEphRERERCylMCIiIiKWUgfWM239/2D1h9DuEmg/HOJ7wknGX4uIiJzLFEbOtC3fwrbvzA0gJAbaDTsaTqLbWVo9ERGRM01h5Ey7eBIk9oYdC2Hnj3DkEGz4zNwAIttA++pg0u4SCG1haXVFRESams0wDMPqSjRXLpeLiIgICgoKmmaekcpy2JsOmQthxwLYswLcld5l4nsdDSetU8AR5vt6iIiI+FhjPkMVRk6gycPIscqKYNeSo+EkZ733cXsAtBpoBpP2l0DL/uAX0PT1EhERaSSFER8542HkWEW5R4PJjoVQkOV9PDAM2l58tL9JXDfQgn4iItIMKIz4iOVhpDbDgMOZZijZsQAyF0FJnneZ0DizxaQmnERqkT8REbFGYz5DLRlT+tRTT2Gz2by2rl27eo6XlpYyfvx4YmJiCAsLY/To0eTk5HidIysri1GjRhESEkJcXByPPPIIlZXe/S0WLFhAv379cDgcdOzYkenTp5+Jy2saNhtEt4cBd8FN78Ej2+FXi+CyP0KHEeAfDMUHYN0M+HICvNQTXukHMyfBxi/gSN7J30NERMQClo2m6dGjB999993RivgfrcqkSZOYNWsWM2bMICIiggkTJnDDDTewePFiAKqqqhg1ahQJCQksWbKE/fv3c8cddxAQEMAzzzwDQGZmJqNGjeL+++/ngw8+YN68edx7770kJiaSmpp6Zi+2KdjtkNjH3Ib8GirLzA6wNbd09qZD3nZzW/kPwGaWrd0ZNiDY4osQERGx6DbNU089xeeff87q1avrHCsoKCA2NpYPP/yQG2+8EYDNmzfTrVs30tLSuPDCC/n666+5+uqr2bdvH/Hx8QC89dZbPPbYY+Tm5hIYGMhjjz3GrFmzWL/+aCfQW265hfz8fObMmdOgejar2zSNVeqCXYuPhpPcTd7H/RyQPKi6M+xwSOwLfhrpLSIivtHsb9MAbN26laSkJNq3b89tt91GVpbZOTM9PZ2KigpGjhzpKdu1a1dat25NWloaAGlpafTq1csTRABSU1NxuVxs2LDBU6b2OWrK1JyjPmVlZbhcLq/trBXkhC5XwpV/gfFL4eEMuP5v0Pc2cLaEqjLY+QN8///g3REwrT18fBss+xvkbjH7qIiIiJwBlvwpPHjwYKZPn06XLl3Yv38/Tz/9NEOHDmX9+vVkZ2cTGBhIZGSk12vi4+PJzs4GIDs72yuI1ByvOXaiMi6Xi5KSEoKD696imDp1Kk8//bSvLrNen/60h09W7mZQuxgGtY3mgtaRhDrOwI8hPAH63GxuhgGHtsOO+eZoncxFUFoAm2eaG0B44tGJ19pfAs6kpq+jiIiclywJI1deeaXnce/evRk8eDBt2rThk08+qTcknClTpkxh8uTJnucul4vkZN+OSPlx60GW7shj6Q6zQ6mf3UbPJCeD2kUzsK25RYUG+vQ967DZoEVHcxv0S3BXwf7VR0fqZC2Fwv2w5iNzA2jRufqWzqXQ6TLNbyIiIj7TLDoJREZG0rlzZ7Zt28Zll11GeXk5+fn5Xq0jOTk5JCQkAJCQkMDy5cu9zlEz2qZ2mWNH4OTk5OB0Oo8beBwOBw6Hw1eXVa8JP+tI/7ZRrMjMY8XOw+zNL2HNngLW7CngnR8yAegUF8agdtGegJIU2cQBze5nTqDWsj8MnQwVJbB72dFwsn81HNxibsv/BlFtYdij0Ptm9TMREZHT1iw+SYqKiti+fTtjxoyhf//+BAQEMG/ePEaPHg1ARkYGWVlZpKSkAJCSksKf//xnDhw4QFxcHABz587F6XTSvXt3T5nZs2d7vc/cuXM957BK+9gw2seGcdvgNgDsOXyEFTvzWJ55mBU789h2oIit1dsHy8x+NC0jgxncLpqB1eGkQ2wotqac3Cwg+GjHVp6EksPmOjo7FsLGz+HwTvjiAfjhebjkt9DrRjPQiIiInAJLRtP85je/4ZprrqFNmzbs27ePJ598ktWrV7Nx40ZiY2MZN24cs2fPZvr06TidTh588EEAlixZAphDe/v27UtSUhLTpk0jOzubMWPGcO+993oN7e3Zsyfjx4/n7rvv5vvvv+ehhx5i1qxZDR7aa8VomkNFZazYaQaTFTvz2LDPRZXb+0cUExrIgLZRnn4n3RLD8fc7Q32Ry4thxd9h8UvmIn9g3sK55DHocb1CiYiIAGfBDKy33HILixYt4tChQ8TGxnLxxRfz5z//mQ4dOgDmpGcPP/wwH330EWVlZaSmpvLGG294bsEA7Nq1i3HjxrFgwQJCQ0MZO3Yszz77rNd8JQsWLGDSpEls3LiRVq1a8fjjj3PnnXc2uJ7NYWhvUVklq7IOszwzj+WZeazenU9ZpdurTGigH/3aRJmtJ22j6ZMcSVBAE4eCsiLzls2SV8yWE4DYbjD8t9Dt5+Y8KCIict5q9mHkbNEcwsixyiqrWL+3gGWZeazIzGPlrsMUlnrPPBvoZ6d3qwgGVvc76d8mCmdQE3U4LXXBsrch7VVzRA5AfE8zlHS9WmvliIicpxRGfKQ5hpFjVbkNMrILq/ud5LF8Zx65hWVeZew26Jrg9OoUGxvu4466Jfmw9E1Y+gaUVc/PktAbLv0ddL5CoURE5DyjMOIjZ0MYOZZhGOw6dITl1eFkxc48dh06UqdcuxahDKzV7yQ5Otg3nWKP5JmBZOmbUF5k7ku6AC79PXQcqVAiInKeUBjxkbMxjNQnx1VqdojNzGNZZh4ZOYV1JliNdzoY2Dba03rSOS4cu/00gkPxIfPWzbK3oaI6DLUaaLaUtL9UoURE5BynMOIj50oYOVZBSQXpu44OJ167J5+KKu9/BhHBAQxoE+Xpd9IzKYJA/1PolFqUC0tehuXvQmWJua91ihlK2g3zwdWIiEhzpDDiI+dqGDlWaUUVq7LyPcOJ03cd5kh5lVeZoAA7FyRHMbh9NLdf2IYWYY3sc1KYYw4HXvF3c10cgDYXm6Gk7RDfXIiIiDQbCiM+cr6EkWNVVrnZsM/l6RS7Ymceh49UeI5HBAfw+1Hd+EX/Vo3vZ+LaDz++AOnToarc3NfuErNPSevBvrsIERGxlMKIj5yvYeRYhmGwPbeIZZl5fLA0i437zdEyF7aP5pnre9E+NqzxJy3YAz/8FX76F7irg06HEWZLSasBPqy9iIhYQWHERxRG6qqscvOPxZm8MHcLpRVuAv3tPHhpR351SYdT61OSnwWLnofVH4C7er6UTqlw6RRzFI6IiJyVFEZ8RGHk+HbnHeH3n69n0ZZcwFzc79nRvejfJvrUTpiXCYueM1cJNqpnmO1yFQyfAom9fVRrERE5UxRGfERh5MQMw+DLNfv441cbOVRs9v+4/cLWPHpF11Of8fXQdlg4DdZ9cjSUdLvGDCXxPXxUcxERaWoKIz6iMNIw+UfKeWb2Jj5ZuQeAuHAHT/+8B1f0TDj1idRyt8DCv8D6/wHV/0R7XG+uEhzX1TcVFxGRJqMw4iMKI42zZPtBfv/ZejIPFgMwsls8f7y2B0mRwad+0gObYMGzsPHz6h026HWjuUpwi06nXWcREalW6oIg333WKYz4iMJI45VWVPHG/G28uXA7FVUGoYF+PJLahTEpbfE7nRlds9fDgqmweab53GaH3jfDsEcgpoNvKi8icj46sBl+fBEyZsNDqyC0hU9OqzDiIwojp25LTiFTPl1H+q7DAPRJjuTZG3rRLfE0v4/7VpstJVu+Np/b/KDvrWYoiWp7eucWETmf7P3JnGKh5o88gGtfhwtu98npFUZ8RGHk9LjdBh8uz+IvX2+msKwSP7uNXw5tz69HdCI40O/0Tr43HeZPhW1zzed2f+h7Gwz7DUS2Pv3Ki4iciwwDdi02Q8j274/u73YNDH3Yp1MqKIz4iMKIb+S4Snnqyw18vT4bgNbRIfz5+p4M7RR7+iffvQIWPHP0P5U9APrdYf6nimh5+ucXETkXGAZs/dYMIbuXmftsftD7JhgysUkGBiiM+IjCiG/N3ZjD45+vJ9tVCsANF7Tk96O6EdPYdW7qsyvNDCWZi8znfoHQ/y64eBI4E0///CIiZyN3lTkA4IcXIGe9uc/PAf3GwEUPQVSbJntrhREfURjxvcLSCv767RbeS9uJYUBUSAC/H9Wd0f1anvow4Noyf4D5z0DWEvO5fxAMuAcunghhcad/fhGRs0FlOaz92OyYmrfD3BcYBgPvgQvHQ3h8k1dBYcRHFEaazqqsw0z5dB2bswsBuKhDDM9c34u2LUJP/+SGAZkLzVBS0xzpHwyDfmkOCXacwlo6IiJng/Ji+Ol9WPIquPaa+4Kj4MIHzN+BwVFnrCoKIz6iMNK0KqrcvPtDJi99t4WySjcOfzsPjejEfcPaE+B3CuvcHMswYPs8M5TsTTf3JfWD22b4bOiaiEizUJIPK96BpW/CkUPmvvBEuOhB6DfWkj/CFEZ8RGHkzNh1qJjff7aeH7cdBKBLfDhTR/eiX2sfJXjDgC1z4PMHoCQPYjrBmE816kZEzn5FubD0DVjxLpSZK6oT1dbslNr3/8DfB33yTpHCiI8ojJw5hmHw2aq9/GnWJvKKy7HZYMyFbXgktQvhp7rOzbFyt8C/rgfXHghPMgNJXDffnFtE5EzK323eivnpPag0BwUQ1x0unmwuneHnb239UBjxGYWRMy+vuJw/z9rE/34y17lJcAbx9LU9SO2R4Js3KNhrBpKDGRAUad6ySR7km3OLiDS1g1vhx5fMzqnuSnNfy/4w9DfQ+Qqw++AWt48ojPiIwoh1Fm87yO8+W8euQ0cASO0Rz9M/70lCRNDpn/xIHnx4E+xZYXZsvflf0Omy0z+viEhT2b/GHJ678Qs8i4e2u8ScU6ndMPDFaEQfUxjxEYURa5VWVPHKvK38bdEOKt0GYQ5/Hr2iC7cNbnN669yA2eP8kztg23fm7K3XvgF9bvZNxUVEfGVXmjlRWc1s0wBdRsHQydBqgHX1agCFER9RGGkeNme7+O3/1rF6dz4AF7SOZOoNveiacJo/k6oKs1Pruk/M56lTIeWB0zuniMjpMgzYNs8MITVzJtns0PNGcyLH+O7W1q+BFEZ8RGGk+ahyG3ywbBfT5mRQVFaJv93Gry5pz4M/60RQwGmsc+N2wze/g2Vvms8vngwjnmiWTZ4ico5zu2HzV2YI2b/G3OcXaI6KGfJriG5vbf0aSWHERxRGmp/9BSU8+cUGvt2YA0DbmBCeub4XF3U8jXlDDAN+fAHm/dF8fsEYuPqlZtEbXUTOA1UVsG6GOVvqwS3mvoAQGHA3pIwHZ5K19TtFCiM+ojDSfM1Zn82TX64nx1UGwI39W/H7q7oRFRp46idNfw9mTgTDDV2vhtF/hwAfdJgVEalPRQms+jcsfhkKdpv7giJg8P3mFhJtbf1Ok8KIjyiMNG+u0gqem5PBv5ftwjAgOjSQx6/uxnV9T2Odm01fwX/vgaoyaHMx3Pqh+ctBRMRXSl2w8u+Q9joU55r7QuPgognmAp9B58bnjcKIjyiMnB3Sdx1myqdr2ZJTBMDQTi3483W9aB0TcmonzPwBProVygshvhfc/r8zsqiUiJzjig+Z/dOW/w1KC8x9Ea3h4l9D39sgINja+vmYwoiPKIycPcor3bzzww5enreV8ko3QQF2Jo7szD0Xtzu1dW72r4F/jzb/aolqC2M+O+s6j4lIM1GwF9Jeg/TpUGHOnUSLLubw3J6jwc9Hs0w3MwojPqIwcvbJPFjM7z5dR9oOc6GobolOnr2hF32SIxt/skPbzdla83eZTai3/w8Se/u2wiJy7jq0HRa/BKs/AneFuS+xrzlRWderm9VsqU1BYcRHFEbOToZh8N/0Pfx59ibyj1Rgs8HYlLb8JrULYY5GjpApzDZbSHLWg8MJt34EbS9umoqLyLkhe705MmbDp2aHeDD7oA2dDB1+dt5MHaAw4iMKI2e3Q0Vl/GnWJj5btReAxIggXrn1Aga2bWQP9ZJ8sw9J1hLwc8Av/gldR/m+wiJydsvdAnOfgC1fH93XKdUMIa0vtK5eFlEY8RGFkXPDoi25/P7zdezOKyHAz8afr+vFTQOTG3eSihL4792QMducCfGaV6DfmKapsIicfcqPwOuDqofo2syVcy+edF7f2m3MZ+i5fcNKBBjWOZZvJg7jql4JVFQZPPq/tfy/mRuprHI3/CQBwXDTv6Dv7Waz65cTzGZYZXkRAbODasFucLaCCSvNFtTzOIg0lsKInBdCAv157dZ+TBzZCYC//5jJPe+txFVa0fCT+PnDta/BkInm8++egm//YE7hLCLnL9c+848TgMuehhYdra3PWUhhRM4bdruNiSM78/r/9SMowM7CLblc//piMg8WN/wkNpv5y+byP5nP016Dz8eZ0zmLyPnpu6fMIbvJF5pDdaXRFEbkvDOqdyL/vf8iEiOC2J5bzHWvL+bHrQcbd5KLHoTr3gKbH6z9GD6+zbxnLCLnl90rYO1/zMdXTD1vRsr4msKInJd6tozgiwlDuKB1JAUlFYz953LeT9tJo/pz973VHOrrHwxbv4F/XQclh5usziLSzLjdMOe35uO+t0HLftbW5yxmeRh59tlnsdlsTJw40bOvtLSU8ePHExMTQ1hYGKNHjyYnJ8frdVlZWYwaNYqQkBDi4uJ45JFHqKys9CqzYMEC+vXrh8PhoGPHjkyfPv0MXJGcLeLCg/jolxdywwUtqXIbPPHFBv7w+XoqGtOxtXMq3PG5uX7N7mXwz6vM+8cicu5bNwP2roTAMBjxhNW1OatZGkZWrFjB22+/Te/e3j2OJ02axFdffcWMGTNYuHAh+/bt44YbbvAcr6qqYtSoUZSXl7NkyRLee+89pk+fzhNPHP3HkJmZyahRo7j00ktZvXo1EydO5N577+Wbb745Y9cnzV9QgB9/vakPv72yKzYbfLAsizF/X8bh4vKGn6T1hXDXHAhPhAMb4e+pcHBb01VaRKxXXmz2FQFzHpHwBEurc9YzLFJYWGh06tTJmDt3rnHJJZcYv/71rw3DMIz8/HwjICDAmDFjhqfspk2bDMBIS0szDMMwZs+ebdjtdiM7O9tT5s033zScTqdRVlZmGIZhPProo0aPHj283vPmm282UlNTG1zHgoICAzAKCgpO9TLlLPLdxmyj++NfG20em2kM/cv3Rka2q3EnyNtpGC9fYBhPOg3jL+0MY09601RURKw370/m//UXexpGeYnVtWmWGvMZalnLyPjx4xk1ahQjR4702p+enk5FRYXX/q5du9K6dWvS0tIASEtLo1evXsTHH11JNTU1FZfLxYYNGzxljj13amqq5xz1KSsrw+VyeW1y/hjRLZ5PHxhCcnQwWXlHuOGNJXy/OefkL6wR1Qbu/sZce+LIIXjvGtixoKmqKyJWyd8NS14xH1/2/yAgyNr6nAMsCSMff/wxP/30E1OnTq1zLDs7m8DAQCIjI732x8fHk52d7SlTO4jUHK85dqIyLpeLkpKSeus1depUIiIiPFtyciNn6ZSzXpeEcL4YfzGD20VTVFbJPe+t5O2F2xvesTUsFu6cCe0ugfIi+OAXsOGzpq20iJxZ3z0JlaXQZgh0v9bq2pwTzngY2b17N7/+9a/54IMPCApqXmlyypQpFBQUeLbdu3dbXSWxQHRoIP+6ZzC3DmqNYcDUrzfz8Iw1lFZUNewEjnC4bYb5S6qqHGbcBSvebdpKi8iZkbUU1v8PsGkorw+d8TCSnp7OgQMH6NevH/7+/vj7+7Nw4UJeeeUV/P39iY+Pp7y8nPz8fK/X5eTkkJBgdhBKSEioM7qm5vnJyjidToKDg+utm8PhwOl0em1yfgr0t/PM9T15+uc98LPb+PSnvfzfO0s5UFjasBP4O+DGf8KAuwEDZj0MC/6i6eNFzmZuN3z9mPm43xhI7GNtfc4hZzyMjBgxgnXr1rF69WrPNmDAAG677TbP44CAAObNm+d5TUZGBllZWaSkpACQkpLCunXrOHDggKfM3LlzcTqddO/e3VOm9jlqytScQ+RkbDYbYy9qy/S7BuIM8uenrHyue20x6/cWNOwEdj8Y9QJcUj0PwYJnYPYjmj5e5Gy15iPYvxoCw+Fnj1tdm3NKs1i1d/jw4fTt25eXXnoJgHHjxjF79mymT5+O0+nkwQcfBGDJkiWAObS3b9++JCUlMW3aNLKzsxkzZgz33nsvzzzzDGAO7e3Zsyfjx4/n7rvv5vvvv+ehhx5i1qxZpKamNqheWrVXauzILeLe91eyI7eY4AA/XripD1f2Smz4CZb9Db5+FDCgxw1w/dvgH9hk9RURHysrhFf7Q1EOXPZHGPJrq2vU7J31q/a++OKLXH311YwePZphw4aRkJDAp59+6jnu5+fHzJkz8fPzIyUlhdtvv5077riDP/7xj54y7dq1Y9asWcydO5c+ffrw17/+lXfffbfBQUSktvaxYXz2wBCGdY6lpKKKcR/8xMvfbW14x9bB98Hod8EeABs+hQ9vgrKipq20iPjODy+YQSSqHQy+3+ranHOaRctIc6WWETlWZZWbZ2Zv5h+LMwFznZvnb+xDcKBfw06wbR78ZwxUFENSP7jtvxAa04Q1FpHTdngnvDYIqsrg5g+g29VW1+is0JjPUIWRE1AYkeP5eHkWj3+xnooqg54tnbxzxwASI+rvGF3HnnT44EYoyYOYTjDmM4jUMHKRZuuTO2DjF9BuGNzx5XFH0Ly1cDtfrt5HVGgAMaEOYsICaRHmoEX115haj4MCGvgHzFlMYcRHFEbkRJbtOMS4D34ir7ic2HAHfxvTnwtaRzXsxblb4F/Xg2sPhCeZgSSua9NWWEQab+ePMH0U2Oxw/48Q36PeYv9N38NvZqxp8GnDHP6esBITGkhMmIPYsMDqwOIdZCKCA7CdhUOIFUZ8RGFETmZ33hHufW8lGTmFBPrb+cvoXlx/QauGvbhgrxlIDmZAUKQ5N0nyoCatr4g0grsK/nYJZK8zh+lf/WK9xVbuzOP/3llGeZWbsSlt6Ns6kkNF5eQWlXGoqJyDx3wtb8xinIC/3XY0uIQ5aBEaSItwM8R4BxfzcYBf8+gOqjDiIwoj0hBFZZVM/Hg1320y57W5/5IOPJraBbu9AX/JHMkzO7PuWQEBIXDT+9DpsiausYg0SPp78NVD4IiAh36C0BZ1iuzOO8J1ry/mUHE5V/RI4I3b+p3w/75hGBSWVXKwsIxDxeUcLCzjYPXXQ8XeoSW3qIzC0srjnut4IoIDaOFpZalpfXHQIjyQmFAHsdVfW4Q7CA30a7JWF4URH1EYkYZyuw2e/zaDNxZsB2BktzheuuUCwhz+J39xebF5T3rbd2D3h+vehN43NXGNReSESl3waj8ozoXUZyBlfJ0iRWWV3PjmEjZnF9IjycmM+1MICWzA//lGKKus4lBRuSekHCw6GmIOFdfsM7/mFZdT5W7cR7rD3+65HRQT5mDiyE70bhXpk7orjPiIwog01uer9vLo/9ZSXummS3w4744dQHJ0yMlfWFUBnz8A6z4xn1/xLFw4rmkrKyLH9+3j5mJ4MR1hXFqdeYGq3Aa/+tdKvtt0gNhwB1+MH0JSZAM7sTcRt9ugoKTCK6Acqn58qLiM3MJyr9aXI+V1l7j45FcpDGoX7ZP6NOYz1LcRTuQ8d90FLWnbIpRfvm/2I/n5az/y1u39Gdz+JMN3/QLMidBCYmDZmzDnt+ZfZD97XGtfiJxph7bD0jfNx6nP1DtB4bRvNvPdpgME+tv525j+lgcRALvdRlRoIFGhgXSKP3n5I+WVtVpcyjlUVEbHuLCmr2g91DJyAmoZkVO1v6CE+95PZ93eAvztNv7fdT25dVDrk7/QMODHF2Be9QR+/e6AUS+Cn/5uEDljPvo/yJgFHX4Gt39a5w+CGSt388h/1wLw8i19ubZvSytq2eyd9TOwipztEiOC+eRXKVzdO5FKt8GUT9fx1JcbqDxZL3qbDYY+DNe8Yg4l/Ol9mDEWKhq4QJ+InJ4dC8wgYvOD1Lqr8q7YmcfvPlsHwIM/66gg4iMKIyJNJDjQj1dvvYCHL+sMwPQlO7lr+goKjlSc/MX9x5oja/wcsHkm/Hu0uTaGiDSdqkqY8zvz8cB76sz9szvvCL/6VzoVVQZX9kxg0sjOFlTy3KQwItKEbDYbD47oxFu39yM4wI8fth7k+jcWsyO3AevSdLsGbv+fuULorh9h9qNNX2GR89lP78GBDea8P8OneB0qKqvk3vdWkldcTo8kJ3+9qU/Dhu9LgyiMiJwBV/RM5L/jUkiKCGLHwWKue30xi7bknvyF7Yaak6HZ7LDmQ9g8q+krK3I+KsmH+X82H1/6Owg5OqKkym3w649WkZFTSGy4g3fHDvD5EN7zncKIyBnSIymCLyZcTP82UbhKK7nzn8v55+LMk6/82yYFLnrIfPzVr6H4UNNXVuR8s3AaHDkELbqYs63WMm3OZuZtPoDD3964daikwRRGRM6g2HAHH/5yMDf2b4XbgKe/2sjvPltHeeVJOrZe+juI7WYO9501yRx1IyK+cXArLH/bfHzFM+ZQ+2ozVu7m7UU7AHjuF33omxxpQQXPfQojImeYw9+P527sze+v6obNBh8t383tf19GXnH58V/k74Dr3zRnaN34Baz/35mrsMi57pvfg7sSOqVCx5Ge3bVHzjz0s478vE+SVTU85ymMiFjAZrPxy2Ht+cfYgYQ7/FmemcfPX/uRzdmu478o6QIY9oj5eNbDUJh9Ziorci7b9h1s/cYM+ql/9uyuPXLmql4JTNTImSalMCJioUu7xvHpAxfRJiaEPYdLGP3GEuZuzDn+C4Y+DIl9oDQfvnxIt2tETkftobyD7oMWnQDvkTM9Wzr56y/6auRME1MYEbFYp/hwPn9gCCntYygur+K+f63kjQXb6u/YWjNtvF+g+dfc6g/OfIVFzhUr/wEHMyA4Gi4xh87XHjkTF+7gnTsGEBzoZ3FFz30KIyLNQFRoIO/fM4jbL2yNYcC0ORlM+s9qSivqLmRFXDf42R/Mx1//FvKzzmxlRc4FR/JgwTPm45/9HoKjAPiLRs5YQmFEpJkI8LPzp+t68f+u7YGf3cbnq/dxy9+WcsBVz1TwKRMgeTCUF8IX48F9ktE4IuJtwbNQchjiukO/OwH4ZOVu/lY9cub5X/Shj0bOnDEKIyLNzJiUtvzr7kFEBAewenc+P39tMev2FHgXsvvBdW+CfzBkLoKVf7emsiJnowObYcW75uMrpoKf2Yn89zUjZ0Z04hqNnDmjFEZEmqGLOrbgi/FD6BAbSrarlF+8vYQl2w96F4rpAJdVr+479wlz2XMROTHDgG9+B0YVdBkF7YezO+8I9//bHDkzqlciE0d0srqW5x2FEZFmqm2LUD4bP4RLOsdSWuFmwoer2Jtf4l1o4L3QbhhUHIHPx4G7nj4mInLU1m9h+zywB8Dl/4/C0grueW8FecXl9GoZwfO/0JozVlAYEWnGnEEBvD2mPz1bOskrLuf+f6V7d2q12+Ha183F9HYvg7TXrKusSHNXWW62igBceD9VUe359cer2ZJTpJEzFlMYEWnmggL8eOv2/kSFBLBubwF/+Hy997DfyNbmfW+A7/8EBzZZU1GR5m7Fu3BoG4S0gGGP8OzXm/i+1siZhIggq2t43lIYETkLtIoK4dVb+2G3wX/T9/DvZccM573gdnMq66py+Ox+qKqwpqIizVXxIVj4rPl4xON8ss7FOz9kAvDXmzRyxmoKIyJniYs7teCxK7oC8MevNpC+K+/oQZsNfv4KBEXC/tXwwwuW1FGk2Zr/ZygtgPheLIu4it9/bo6c+fWITlzdWyNnrKYwInIWuW9Ye0b1TqSiyuD+f//kPQdJeAKM+qv5eNE02LfakjqKNDs5GyD9n+bDIU9x/4erzZEzvRP5tUbONAsKIyJnEZvNxrTRvekcH0ZuYRnjPviJ8spaE571HA3drzVXIP3sfqgss66yIs2BYcCcKWC4qehyDbd/F8DhIxX0bhXB8zdq5ExzoTAicpYJdfjz9pgBhAf5k77rMP9v5sajB202GPUChMZC7iaY/4x1FRVpDjJmQ+ZCDD8Hvyv8BVsPFBHvdPC3MRo505wojIichdq1COWlm/sC8K+lu5ixcvfRg6Et4OqXzMdLXoGsZWe8fiLNQmUZfPN7AJbE3syMHf4EBWjkTHOkMCJylhrRLZ6JI8373b//fD1r9+QfPdjtauhzKxhu+Px+KC+2ppIiVlr2FhzOpMTRgvt2XgKYa870bhVpbb2kDoURkbPYQz/rxMhucZRXurn/X+kcKqrVR+SKZyE8CfJ2wHdPW1dJESsUHYCFzwHwdPFoiglm4kiNnGmuFEZEzmJ2u40Xbu5Luxah7Cso5cGPVlFZVd2hNTgSrq2ekXX52+aCeiLni+//BOWFbKQ9/6kcytUaOdOsKYyInOVqpowPCfRjyfZDTPsm4+jBjiOg/13m48/HQ6nLmkqKnEn712L89D4AT5TdTq9WUTz/iz7YbBo501wpjIicAzrHh/P8L/oA8LdFO/hqzb6jBy//fxDZBgqy4NvfW1RDkTPEMDDm/BYbBl9VXcju8D68c8cAggI0cqY5UxgROUdc1SuR+y/pAMCj/13L5uzqVhBHOFz3BmCDn96HLd9aV0mRprbpS2y7FlNqBPACt/PuHQOJd2rkTHOnMCJyDnkktQtDO7WgpKKKX/0rnYIj1WvUtL0YLnzAfPzlg3Ak7/gnETlbVZRS9NUUAN6uuprf/GIkvVpFWFwpaQiFEZFziJ/dxiu3XEDLyGB2HTrCxP+swu2uXuF3xOMQ0wmKsuHrR62tqEgTyJr9HGEle8k2ovAfOplRvROtrpI0kMKIyDkmKjSQt8f0x+FvZ35GLi99t8U8EBAM178NNjusmwEbv7C2oiI+tCdrBy1WvQrAt4njeODyXhbXSBpDYUTkHNSzZQRTbzB/Gb/y/Ta+3ZBtHmjVHy6ebD6eOQmKci2qoYjvuEorWP+v3xBCGVv8O3PT3ZM1cuYsozAico66oV8r7ryoLQCTP1nD9twi88Alj0F8TzhyCGZONBcSEzlLVbkN/jr9P1xe/j0ALW58kaDAAItrJY1lSRh588036d27N06nE6fTSUpKCl9//bXneGlpKePHjycmJoawsDBGjx5NTk6O1zmysrIYNWoUISEhxMXF8cgjj1BZWelVZsGCBfTr1w+Hw0HHjh2ZPn36mbg8kWbj96O6MahtNEVllfzqX+kUlVWCfyBc/xbYA2DzTFj7idXVFDllz8zayNX7XsZuM8jveD3RXS+2ukpyCiwJI61ateLZZ58lPT2dlStX8rOf/Yxrr72WDRs2ADBp0iS++uorZsyYwcKFC9m3bx833HCD5/VVVVWMGjWK8vJylixZwnvvvcf06dN54oknPGUyMzMZNWoUl156KatXr2bixInce++9fPPNN2f8ekWsEuBn57XbLiDe6WDbgSJ+88kaDMOAhF4w/DGz0OxHoGCvtRUVOQUfL88iJ+0jBtq3UOkXTOQ1f7a6SnKqjGYiKirKePfdd438/HwjICDAmDFjhufYpk2bDMBIS0szDMMwZs+ebdjtdiM7O9tT5s033zScTqdRVlZmGIZhPProo0aPHj283uPmm282UlNTG1yngoICAzAKCgpO59JELJe+K8/o+LtZRpvHZhqvz99q7qysMIy3hxvGk07DeP96w3C7ra2kSCMs2XbQ6D7lM2P3E+3Nf8Pzn7W6SnKMxnyGWt5npKqqio8//pji4mJSUlJIT0+noqKCkSNHesp07dqV1q1bk5aWBkBaWhq9evUiPj7eUyY1NRWXy+VpXUlLS/M6R02ZmnPUp6ysDJfL5bWJnAv6tY7i6Z/3BOD5bzJYtCUX/PzN0TX+QbB9HqRPt7aSIg2061Ax4z5I527bV7SyHcRwtoKLHrS6WnIaLAsj69atIywsDIfDwf33389nn31G9+7dyc7OJjAwkMjISK/y8fHxZGebIwKys7O9gkjN8ZpjJyrjcrkoKSmpt05Tp04lIiLCsyUnJ/viUkWahf8b3JpbBibjNuDBj1axO+8IxHaGEdW3N7/5PeRlWltJkZNwlVZwz3srcRzJYXzAVwDYLnsaAkMsrpmcDsvCSJcuXVi9ejXLli1j3LhxjB07lo0bN1pVHQCmTJlCQUGBZ9u9e7el9RHxtaev7UGf5EgKSiq471/plJRXweBx0GYIVBTDFxPA7ba6miL1qqxy8+CHq9h2oIinQmYQRBkkD4aeo62umpwmy8JIYGAgHTt2pH///kydOpU+ffrw8ssvk5CQQHl5Ofn5+V7lc3JySEhIACAhIaHO6Jqa5ycr43Q6CQ4OrrdODofDM8KnZhM5lzj8/Xjr9n7EhAayab+LKZ+uxbDZ4NrXISAUdv0Iy9+2upoi9Xpm9mYWbsllUMB2rnQvNHdeMRU0p8hZz/I+IzXcbjdlZWX079+fgIAA5s2b5zmWkZFBVlYWKSkpAKSkpLBu3ToOHDjgKTN37lycTifdu3f3lKl9jpoyNecQOV8lRgTz+m398LPb+Hz1Pv65eCdEtzNX9wX47ik4uNXKKorU8dHyLP6xOBMweDv2v+bOPv8HLftbWi/xDUvCyJQpU1i0aBE7d+5k3bp1TJkyhQULFnDbbbcRERHBPffcw+TJk5k/fz7p6encddddpKSkcOGFFwJw+eWX0717d8aMGcOaNWv45ptv+MMf/sD48eNxOBwA3H///ezYsYNHH32UzZs388Ybb/DJJ58wadIkKy5ZpFm5sH0Mv7uqGwB/nr2JpTsOwYC7of2lUFkKn90PVZUnOYvImZG2/RCPf74egLf77CAqb43ZkjfiiZO8Us4WloSRAwcOcMcdd9ClSxdGjBjBihUr+Oabb7jssssAePHFF7n66qsZPXo0w4YNIyEhgU8//dTzej8/P2bOnImfnx8pKSncfvvt3HHHHfzxj3/0lGnXrh2zZs1i7ty59OnTh7/+9a+8++67pKamnvHrFWmO7h7Slmv7JlHlNpjw4U/sd5XCta+BIwL2roQlL1tdRRF2HjRHzlS6DW7sFcXl+940DwydDE4thHeusBmG5oI+HpfLRUREBAUFBeo/IuekkvIqbnhzCZv2u+iTHMknv7oQx/pP4PP7zRla71sACT2trqacp1ylFVz/+mK25xbTJzmS/3WZj/+Pz0Fkaxi/AgKCrK6inEBjPkObTZ8RETnzggP9ePv2/kQEB7Bmdz5PfbkB+twCXUaBu8K8XVNZbnU15TxUWeVmwoer2J5bTGJEEH+/Nh7/peaqvFz2/xREzjEKIyLnudYxIbxy6wXYbPDR8t18tGI3XPMSBEdDzjpYNM3qKsp56M+zN7FoSy7BAX68c8cAWix9xuzP1GYIdL/W6uqJjymMiAiXdI7lN5d3AeDJLzawKi8Arn7RPPjDC7A33cLayfnmw2VZ5igv4MWb+9CzahOs/x9g01Dec5TCiIgA8MDwDlzRI4HyKjfj/v0Tua2vNCeTMqrgs3FQUf/MxSK+9N3GHJ74whw585vLO3NF93iY81vz4AW3Q2IfC2snTUVhREQAsNlsPH9THzrGhZHtKmX8Bz9RkToNwuLhYAZ8/yerqyjnsFVZh7n93WXc+/5KKt0G1/ZNYvylHWHtx7BvFQSGayjvOUxhREQ8whz+vD2mP+EOf5bvzOPP83PgmlfMg2mvw64l1lZQzjmb9ru4970VXP/GEn7cdpAAPxt3XtSWv4zuja28GL572iw47DcQFmdtZaXJKIyIiJcOsWH89SazKXz6kp18dqSn2TyOAZ+Pg7Iiayso54TtuUVM+PAnrnz5B77bdAC7DX7RvxXfPzycp37eg6AAP/jxBSjKhqh2cOE4q6ssTUhhRETquLxHAg/+rCMAv/3fOjb2ngIRyXB4J8xVU7mcut15R3hkxhoue2EhM9fuB+CaPknMnXwJz/2iD8nR1avvHt4JS14zH1/+J/B3WFNhOSP8ra6AiDRPE0d2Zt3eAhZk5HLfJ1v4+pqXCP9kNKz8O3QdBR1HWF1FOYsccJXy2vxtfLQ8i4oqc67Nkd3iefjyznRLrGdCrLlPQFUZtBtm/nuTc5paRkSkXn52Gy/ffAFtYkLYc7iEB9LCcQ/8pXnwywehJN/S+snZIa+4nGdmb2LotPm8n7aLiiqDizu24LMHLuLdsQPqDyI7f4SNX4DNDqkayns+UBgRkeOKCAng7TH9CQ7w44etB3mJ2yC6Pbj2wpwpVldPmjFXaQUvzN3CsGnz+duiHZRVuunfJoqPfnkh/753MBe0jqr/he6qo0N5+43VcgTnCYURETmhrglO/nJjbwBe+WEfab3+BNhgzYeweba1lZNm50h5JW8u2M7Qv8znlXlbKSqrpGdLJ/+8ayD/vT+FlA4xx39xZbk5yV72OnPBxp/94cxVXCylPiMiclI/75PEuj35vPNDJvfO9+OHfr8ievVb8NWvIXkwhJ7gA0bOC2WVVXy0LIvX5m/nYFEZAB3jwnj4ss5c0TMB24lutRQfgvR/wPJ3zdEzAJc8CqEtzkDNpTlQGBGRBnnsiq5s2OdiyfZD3LJ1BF+3mI/fwQyY/TD8YrrV1ROLVFS5+V/6Hl6Zt5V9BaUAtI4OYeLITlzbtyV+9hOEkJyNsOxNWPuJue4MQFiCOYxXQ3nPKzbDMAyrK9FcNWb5Y5HzwaGiMn7+2mL25pdwT/t8/rD/QWxGFdz4D3PqeDlvuN0GX63dx4tzt7Dz0BEAEpxBPDSiE78Y0IoAv+P0AnC7YdtcWPoG7FhwdH9iX0gZD92vA//Apq6+nAGN+QxVGDkBhRGRutbtKWD0W0sor3Tzcaf5XLj7HQiOggeWQniC1dWTJmYYBt9uzOGFb7eQkVMIQExoIA9c2pHbBrc2JyurT1kRrPkIlr4JedvNfTY7dLsGLnzAvN2nUTPnFIURH1EYEanfjJW7eeS/awmwVfJTwrOEH94Ina+AWz/WB8o5yjAMFm09yF+/zWDtngIAnEH+/OqSDtx5UVtCHce56394Fyz/G/z0LygzX4cjAvrfAYPug8jWZ+gK5ExrzGeo+oyISKP9YkAya/bk8++lWdxx+G4+tf8O25Y5sPqD6qnj5VyyPDOP57/JYPnOPABCAv245+J23Du0PRHBAXVfYBiQtdS8FbN5Jhhuc39MRxh8P/S5FRxhZ/AKpLlTGBGRU/LE1T3YtL+Q9F3w98hbubf0Pfj6t9DuEohMtrp64gNr9+Tz/LdbWLQlF4BAfzt3XNiGccM7EBNWz/TsleWw4TMzhOxffXR/+0vNWzEdR4JdM0pIXbpNcwK6TSNyYjmuUq5+9UcOFZbwXeQztC/dCO2Hw+2f6UPnLJaRXcgLczP4ZkMOAP52GzcPTObBn3UiISKo7guKD8LKf8KKd6DIfA3+QdD7ZrMlJL77Gay9NBfqM+IjCiMiJ7dyZx63/G0pycY+5gb/Hn93KVz1PAz6pdVVk0baebCYF7/bwpdr9mEYYLfB9Re04tcjOtE6JqTuC7LXVw/NnWGuIwMQnmj+7PvdqflnznPqMyIiZ8yAttE8eU13Hv/C4E9lN/NUwHvmImcdfgYxHayunjTA3vwSXp23lRnpe6hym3+fjuqVyKTLOtExLty7sNsNW78xb8VkLjq6P6lf9dDca8Gvnn4kIiegMCIip+32C9uwZk8B76VfxlUBKxlUsQE+fwDumg324wz1FMvlFpbx+vxtfLgsi/Iqs5Ppz7rGMfmyzvRsGeFduKwQVn8Iy96CvB3mPpsfdP+52R+k1UCNpJJTpjAiIqfNZrPxp+t6kpFdyOR99/Ft0G8J2b0U0l6HIQ9ZXT05Rv6Rct5auIP3luykpKIKgJT2MfwmtTP920R7Fz68E5a/Az+9D2Uuc19QBPS/Ewb+Up2VxSfUZ+QE1GdEpHH25pdwzas/MrL0G6YFvIPhF4jtV4sgrpvVVROgsLSCf/y4k3d/2EFhWSUAfZMjeSS1C0M61loHxjBg1xLzVkzG7FpDczuZ07T3uQUCQy24AjmbqM+IiFiiZWQwr916Abf/vYwrqlbwM1bDZ/fD7Z+qM6OFSiuqeD9tJ28u2M7hIxUAdEt08pvLO/OzrnFHF7GrLIP1n5ohJHvt0RN0GGHeiunwM42SkiahlpETUMuIyKl5Z9EO3pm9hG8djxJpKwZskHQBdLoMOl4GLfupL8kZUF7p5j8rsnj1+20cKDRHu7SPDWXyZZ25qmci9ppF7IpyYeU/YMW7UHzA3OcfbLaADL4f4rpadAVyNtPQXh9RGBE5NYZh8OBHqzi0/jueCvyALuz0LhAcZf6V3XGkuYXFWVLPc1VpRRVfrtnHy99tZW9+CQCtooL59YhOXH9BS/xrFrHLXgdL34J1n0BVubkvPMkcmtv/TgiJrv8NRBpAYcRHFEZETt2R8kquf30JGTmFxHGYS/zWcIl9DZf4rSOcI15ljcQ+2DqONFtNWg0EP91BbgjDMMhxlbEp28Wm/S427y9k034XOw4We4boxoU7eHBEJ24ekEygvx3cVbBljrlg3c4fjp6s1UCzP0i3n2torviEwoiPKIyInJ78I+V8snI36/e62LCvgB0Hi7EbVfS1bWN4dTjpbc/0ek2FfzhlbYYR0j0Ve6fLwJlkUe2bl9KKKrYdKGLTfheb9heyuTqA1PQBOVZcuINfDm3PmJQ25kq6pS5z7aBlb5kjZMAcmtvjOhg8DpIHnrFrkfODwoiPKIyI+FZxWSWbs12ecLJ+r4u8A7u5yFjDJX5rGWZfS5StyOs12UEdyU8ahqNbKi17DyfQUc905OcQwzA4UFjGxlotHce2dtTmZ7fRvkUo3RKddE0Mp1uik24JTuKdDrNjal7m0VVzywvNFwVFwoC7zKG5ES3P7AXKeUNhxEcURkSaXlllFVtzitiwr4ANew5TlrWS5EOLGcIa+ti2Y7cd/RVVZASzNrAP2bEXY3QcSdsOXemWGE5I4Nl5W6exrR2RIQF0S3B6gkf3RCcd48LMlo/aDAN2LTZvxWyeBVR/D1t0gQvvh963QGA907uL+JDCiI8ojIhYo8ptkHmwiC07dlG25Tti9i+iZ8kKonF5ldvibskidx+2OC+kstWFdGsVS48kJz2SIogIaT79Hupr7dic7WJ7bv2tHXYbtI8NM1s5EsM9AcTT2lGjtAAOboNDtbetcGgHVBQfLdfxMrM/SIefaZZUOWMURnxEYUSk+TDcVeRsWY5r3deEZC0gqXAddtye40cMB0vc3Vng7stCd2+MyLb0TIqgR5KTni3Nr3HOpr/FU7u1Y3N2oedrXnF5veVrWjtq32LpFF+rtaOyzOzjcXDrMaFjGxTnHr8iASHQ51ZzaG5sZ99fqMhJKIz4iMKISDNWchh2LKBk4xzsO77HUXLA6/B2dyKL3L1Z4O7LUnc3yggkNtxR3XLirA4qESRHB3u3NjRQTWtHzS2WxrR2dE0wb7F0TQwnwRmEzTCgcJ8ZMA5uhUPbj7Zy5GcdnQG1PmEJENMRWnQ0v8Z0NGdKjWqjUTFiKYURH1EYETlLGAbkrIetc2HbPIzdS7G5Kz2Hywgkzd2NBVV9WOjuQ6aRAJgBxBnkT/eacNLS/No+Ngw/+9GAUtOvpaGtHRHBAebtleqWjm6J1a0dlS4zaHi1clQHj8qS419fYLi5AnKLTrUCRwfzqyP8+K8TsZDCiI8ojIicpUoLzOXtt86Fbd+Ba6/X4UOBSaTZLuDL4u78UNmNErxv3wQF2OmW6CQxIohtB4pO2trRNSH8aP+O2EASKvdjy9tet5XjyKHj19nuD1Ht6m/lCItTXw856yiM+IjCiMg5wDAgd7MZSrbONReAcx8dreK2B3Iguh+rHQOZU9qDb3MjOVJe97ZITWtH1wQn3RPC6B1eRHv7fgILMr1bOvKz8IxeqU940tFWjdotHZFtNNmbnFMURnxEYUTkHFRWZM48unUubJtbHR6OMiJa4Wo1nIywwWz170yX4Hw62rOJOLILW81tlbztUFl6/PdwOGu1bNRq6YjuAI6wJr5AkeZBYcRHFEZEznGGYbZm1LSa7PwRqsoa9lp7AES39+6/UdPSERqr2ypy3mvMZ6jaBEXk/GWzmQGiRSdzHo7yI+ZkYTV9TfK2g7PlMa0cnczwEdFat1VEfMRuxZtOnTqVgQMHEh4eTlxcHNdddx0ZGRleZUpLSxk/fjwxMTGEhYUxevRocnJyvMpkZWUxatQoQkJCiIuL45FHHqGystKrzIIFC+jXrx8Oh4OOHTsyffr0pr48ETlbBYZAp8vgqmnw0E/w+CGYvBHGfglXvwApD5jHo9sriIj4kCVhZOHChYwfP56lS5cyd+5cKioquPzyyykuPjpj4KRJk/jqq6+YMWMGCxcuZN++fdxwww2e41VVVYwaNYry8nKWLFnCe++9x/Tp03niiSc8ZTIzMxk1ahSXXnopq1evZuLEidx777188803Z/R6ReQspcAhckY0iz4jubm5xMXFsXDhQoYNG0ZBQQGxsbF8+OGH3HjjjQBs3ryZbt26kZaWxoUXXsjXX3/N1Vdfzb59+4iPjwfgrbfe4rHHHiM3N5fAwEAee+wxZs2axfr16z3vdcstt5Cfn8+cOXNOWi/1GRERETk1jfkMtaRl5FgFBQUAREdHA5Cenk5FRQUjR470lOnatSutW7cmLS0NgLS0NHr16uUJIgCpqam4XC42bNjgKVP7HDVlas5xrLKyMlwul9cmIiIiTcvyMOJ2u5k4cSJDhgyhZ8+eAGRnZxMYGEhkZKRX2fj4eLKzsz1lageRmuM1x05UxuVyUVJSd7bDqVOnEhER4dmSk5N9co0iIiJyfJaHkfHjx7N+/Xo+/vhjq6vClClTKCgo8Gy7d++2ukoiIiLnPEt7Z02YMIGZM2eyaNEiWrVq5dmfkJBAeXk5+fn5Xq0jOTk5JCQkeMosX77c63w1o21qlzl2BE5OTg5Op5Pg4OA69XE4HDgcDp9cm4iIiDSMJS0jhmEwYcIEPvvsM77//nvatWvndbx///4EBAQwb948z76MjAyysrJISUkBICUlhXXr1nHgwNGVOufOnYvT6aR79+6eMrXPUVOm5hwiIiJiPUtG0zzwwAN8+OGHfPHFF3Tp0sWzPyIiwtNiMW7cOGbPns306dNxOp08+OCDACxZsgQwh/b27duXpKQkpk2bRnZ2NmPGjOHee+/lmWeeAcyhvT179mT8+PHcfffdfP/99zz00EPMmjWL1NTUk9ZTo2lEREROTaM+Qw0LYK4iVWf75z//6SlTUlJiPPDAA0ZUVJQREhJiXH/99cb+/fu9zrNz507jyiuvNIKDg40WLVoYDz/8sFFRUeFVZv78+Ubfvn2NwMBAo3379l7vcTIFBQUGYBQUFJzO5YqIiJx3GvMZ2izmGWmu1DIiIiJyas66eUZERETk/KUwIiIiIpZSGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiKYURERERsZTCiIiIiFhKYUREREQspTAiIiIillIYEREREUspjIiIiIilFEZERETEUgojIiIiYimFEREREbGUwoiIiIhYSmFERERELKUwIiIiIpZSGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiKYURERERsZTCiIiIiFhKYUREREQspTAiIiIilrIkjCxatIhrrrmGpKQkbDYbn3/+uddxwzB44oknSExMJDg4mJEjR7J161avMnl5edx22204nU4iIyO55557KCoq8iqzdu1ahg4dSlBQEMnJyUybNq2pL01EREQayZIwUlxcTJ8+fXj99dfrPT5t2jReeeUV3nrrLZYtW0ZoaCipqamUlpZ6ytx2221s2LCBuXPnMnPmTBYtWsR9993nOe5yubj88stp06YN6enpPPfcczz11FP87W9/a/LrExERkYazGYZhWFoBm43PPvuM6667DjBbRZKSknj44Yf5zW9+A0BBQQHx8fFMnz6dW265hU2bNtG9e3dWrFjBgAEDAJgzZw5XXXUVe/bsISkpiTfffJPf//73ZGdnExgYCMBvf/tbPv/8czZv3tygurlcLiIiIigoKMDpdB63XFVVFRUVFafxXZAzJSAgAD8/P6urISJyzmvoZyiA/xmqU4NlZmaSnZ3NyJEjPfsiIiIYPHgwaWlp3HLLLaSlpREZGekJIgAjR47EbrezbNkyrr/+etLS0hg2bJgniACkpqbyl7/8hcOHDxMVFVXnvcvKyij7/+3de1BU5/3H8fcud1BRUHYlAYOpF1QUDZYKJlp1gmlra2pibDTSRtPagop4g2QQjSjGJtEQjIlWa5Nom3YaLzWaxKqgpl5RkhivsVidKmCqcq2o7P7+SNn+thgvKB7c/bxmdoZ9zsM+nz3rsF/Pec5zamocz8vLy6+b1W63U1xczMWLF2/jHcvd1rJlS6xWKyaTyegoIiJCEyxGiouLAbBYLE7tFovFsa24uJiQkBCn7Z6engQFBTn1iYiIqPcadduuVYxkZ2cza9asW8p68eJFQkJC8Pf315dbE2e326murqa0tBSAtm3bGpxIRESgCRYjRkpPTyc1NdXxvLy8nLCwsGv2ra2tdRQiwcHBdyui3CY/Pz8ASktLCQkJ0SkbEZEmoMld2mu1WgEoKSlxai8pKXFss1qtjv/d1rl69Srnz5936nOt1/j/Y/wvHx8fWrRo4fT4JnVzRPz9/W/2rUkTUfeZaZ6PiEjT0OSKkYiICKxWK5s3b3a0lZeXs3v3bvr06QNAnz59uHjxIgUFBY4+W7ZswWazERsb6+izbds2py+cTZs20alTp2ueomkonZq59+gzExFpWgwpRiorKyksLKSwsBD4etJqYWEhp06dwmQykZKSQlZWFuvWrePzzz9n9OjRhIaGOq64iYyMZPDgwTz33HPs2bOHTz75hOTkZEaMGEFoaCgATz/9NN7e3owZM4YvvviC9957j9dee83pNIyIiIgYz5A5I/v27eO73/2u43ldgZCYmMiKFSuYNm0aVVVV/PznP+fixYv07duXDz/8EF9fX8fvrFy5kuTkZAYOHIjZbGbYsGHk5OQ4tgcGBvLxxx+TlJTEQw89ROvWrZkxY4bTWiQiIiJiPMPXGWnKrneN9KVLlygqKiIiIsKpSLrXnTx5koiICA4cOEB0dHSjj7dmzRqmTJlCUVER48ePJzo6mpSUlEa9XNpVPzsRkabkVtYZaXJzRsS9/OIXv+CJJ57g9OnTzJ492+g4IiJiAF3aK4aprKyktLSUhIQEx1wfERFxPzoycgfZ7XaqL1815HErZ9tsNhvz58/nW9/6Fj4+PoSHhzNnzhynPkeOHCEuLg5fX1+6detGfn6+Y1teXh4mk4mPPvqInj174ufnx4ABAygtLWXjxo1ERkbSokULnn76aaqrq6+ZIS8vj+bNmwMwYMAATCYTeXl59fr99Kc/dUxcrpOSkkL//v0BOHfuHFarlblz5zq2/+1vf8Pb29vpiiwREWm6dGTkDvr3lVq6zPjIkLEPvZiAv/fNfZzp6eksXbqUBQsW0LdvX86ePVvvfj1Tp05l4cKFdOnShVdffZUhQ4ZQVFTktMDbzJkzyc3Nxd/fn+HDhzN8+HB8fHxYtWoVlZWVPP7447z++utMnz69Xoa4uDiOHj1Kp06d+POf/0xcXBxBQUGcPHnylt53mzZtWL58OUOHDuXRRx+lU6dOPPPMM47JzSIi0vSpGHEzFRUVvPbaa+Tm5pKYmAjAgw8+SN++fZ36JScnM2zYMAAWL17Mhx9+yLJly5g2bZqjT1ZWFvHx8QCMGTOG9PR0Tpw4Qfv27QF44okn2Lp16zWLEW9vb8eS/kFBQd+4EN3N+N73vsdzzz3HyJEjiYmJISAggOzs7Aa/noiI3F0qRu4gPy8PDr2YYNjYN+Pw4cPU1NTc8KhB3QJz8PV9f2JiYjh8+LBTn+7duzt+tlgs+Pv7OwqRurY9e/bcVK7b9fLLL9OtWzf+9Kc/UVBQgI+Pz10ZV0REbp+KkTvIZDLd9KkSo9Tdm+VO8PLycvxsMpmcnte12Wy22xrDbDbXmw9zrWXcT5w4wZkzZ7DZbJw8eZKoqKjbGldERO4eTWB1Mx06dMDPz++Gkzt37drl+Pnq1asUFBQQGRnZ2PHqadOmDWfPnnVqq1u5t87ly5cZNWoUTz31FLNnz2bs2LH17l0kIiJNl4oRN+Pr68v06dOZNm0ab7/9NidOnGDXrl0sW7bMqd+iRYtYvXo1R44cISkpiQsXLvDss8/e9bwDBgxg3759vP322xw/fpzMzEwOHjzo1OeFF16grKyMnJwcpk+fTseOHQ3JKiIiDaNixA1lZGQwefJkZsyYQWRkJE899VS9Iwnz5s1j3rx59OjRgx07drBu3Tpat25917MmJCSQkZHBtGnT6N27NxUVFYwePdqxPS8vj4ULF/LOO+/QokULzGYz77zzDtu3b2fx4sV3Pa+IiNw6LQd/He64HLw70GcnItL4tBy8iIiI3DNUjIiIiIihVIyIiIiIoVSMiIiIiKFUjIiIiIihVIyIiIiIoVSMiIiIiKFUjIiIiIihVIzIXXfkyBG+853v4OvrS3R0NCdPnsRkMtW754yIiLgHFSPSYP/6178YPHgwoaGh+Pj4EBYWRnJyMuXl5df9vczMTAICAjh69OgNb9gnIiKuT8WINJjZbOZHP/oR69at49ixY6xYsYK//vWvjBs37rq/d+LECfr27Uu7du0IDg6+S2lFRKSpUjHiZtavX0/Lli2pra0FoLCwEJPJRFpamqPP2LFjGTVqFAD/+Mc/GDJkCK1atSIgIICuXbuyYcMGAFq1asUvf/lLYmJiaNeuHQMHDuRXv/oV27dv/8bxTSYTBQUFvPjii5hMJmbOnFmvz4oVK2jZsqVT25o1azCZTADY7XYGDRpEQkICdbdWOn/+PPfffz8zZsxo8L4RERFjeBodwKXY7XCl2pixvfzhP1/W1/Pwww9TUVHBgQMHiImJIT8/n9atW5OXl+fok5+fz/Tp0wFISkri8uXLbNu2jYCAAA4dOkSzZs2u+dpnzpzh/fffp1+/ft84/tmzZxk0aBCDBw9mypQpNGvWjK+++uqW3qrJZOJ3v/sdUVFR5OTkMHHiRMaNG8d9992nYkRE5B6kYuROulINc0ONGfv5M+AdcMNugYGBREdHk5eXR0xMDHl5eUyaNIlZs2ZRWVlJWVkZX375paOgOHXqFMOGDSMqKgqA9u3b13vNn/zkJ6xdu5Z///vfDBkyhN/85jffOL7VasXT05NmzZphtVoBbrkYAbjvvvt46623GD16NMXFxWzYsIEDBw7g6al/0iIi9xqdpnFD/fr1Iy8vD7vdzvbt2/nxj39MZGQkO3bsID8/n9DQUDp06ADAhAkTyMrKIj4+nszMTD777LN6r7dgwQL279/P2rVrOXHiBKmpqXflfTz55JM8/vjjzJs3j5dfftmRWURE7i36b+Sd5OX/9REKo8a+Sf3792f58uV8+umneHl50blzZ/r3709eXh4XLlxwOs0yduxYEhIS+OCDD/j444/Jzs7mlVdeYfz48Y4+VqsVq9VK586dCQoK4uGHHyYjI4O2bds26K2YzWbHXJA6V65cqdevurqagoICPDw8OH78eIPGEhER4+nIyJ1kMn19qsSIx03MF6lTN29kwYIFjsKjrhjJy8ujf//+Tv3DwsIYN24c77//PpMnT2bp0qXf+No2mw2AmpqaW99//9GmTRsqKiqoqqpytF1rDZLJkydjNpvZuHEjOTk5bNmypcFjioiIcXRkxA21atWK7t27s3LlSnJzcwF45JFHGD58OFeuXHE6MpKSksJjjz1Gx44duXDhAlu3biUyMhKADRs2UFJSQu/evWnWrBlffPEFU6dOJT4+ngceeKDB+WJjY/H39+f5559nwoQJ7N69mxUrVjj1+eCDD1i+fDk7d+6kV69eTJ06lcTERD777DNatWrV4LFFROTu05ERN9WvXz9qa2sdR0GCgoLo0qULVquVTp06OfrV1taSlJREZGQkgwcPpmPHjrzxxhsA+Pn5sXTpUvr27UtkZCSTJk3ihz/8IevXr7+tbEFBQbz77rts2LCBqKgofv/73ztdAnzu3DnGjBnDzJkz6dWrFwCzZs3CYrHccI0TERFpekz2/z05Lw7l5eUEBgZSVlZGixYtnLZdunSJoqIiIiIi8PX1NSihNIQ+OxGRxne979D/pSMjIiIiYigVIyIiImIoFSMiIiJiKBUjIiIiYigVIyIiImIoFSO3qW6RL7l36DMTEWlatOhZA3l7e2M2mzlz5gxt2rTB29vbcYt7aZrsdjuXL1/m3LlzmM1mvL29jY4kIiKoGGkws9lMREQEZ8+e5cwZg+5HIw3i7+9PeHg4ZrMODIqINAUqRm6Dt7c34eHhXL16ldraWqPjyE3w8PDA09NTR7FERJoQFSO3yWQy4eXlhZeXl9FRRERE7kk6Ti0iIiKGcotiZNGiRTzwwAP4+voSGxvLnj17jI4kIiIi/+Hyxch7771HamoqmZmZ7N+/nx49epCQkEBpaanR0URERAQ3uGtvbGwsvXv3Jjc3F/h6jYmwsDDGjx9PWlqaU9+amhpqamocz8vKyggPD+f06dM3vOOgiIiI/Fd5eTlhYWFcvHiRwMDA6/Z16Qmsly9fpqCggPT0dEeb2Wxm0KBB7Ny5s17/7OxsZs2aVa89LCysUXOKiIi4qoqKCvcuRr766itqa2uxWCxO7RaLhSNHjtTrn56eTmpqquO5zWbj/PnzBAcH61JQ/lvl6kjR3aX9bgztd2NovxujMfa73W6noqKC0NDQG/Z16WLkVvn4+ODj4+PU1rJlS2PCNGEtWrTQHwkDaL8bQ/vdGNrvxrjT+/1GR0TquPQE1tatW+Ph4UFJSYlTe0lJCVar1aBUIiIi8v+5dDHi7e3NQw89xObNmx1tNpuNzZs306dPHwOTiYiISB2XP02TmppKYmIiMTExfPvb32bhwoVUVVXxs5/9zOho9xwfHx8yMzPrncqSxqX9bgztd2NovxvD6P3u8pf2AuTm5vLrX/+a4uJioqOjycnJITY21uhYIiIigpsUIyIiItJ0ufScEREREWn6VIyIiIiIoVSMiIiIiKFUjIiIiIihVIzIDWVnZ9O7d2+aN29OSEgIQ4cO5ejRo0bHcjvz5s3DZDKRkpJidBSX989//pNRo0YRHByMn58fUVFR7Nu3z+hYLq22tpaMjAwiIiLw8/PjwQcfZPbs2egaiztr27ZtDBkyhNDQUEwmE2vWrHHabrfbmTFjBm3btsXPz49BgwZx/PjxRs+lYkRuKD8/n6SkJHbt2sWmTZu4cuUKjz76KFVVVUZHcxt79+7lrbfeonv37kZHcXkXLlwgPj4eLy8vNm7cyKFDh3jllVdo1aqV0dFc2ksvvcTixYvJzc3l8OHDvPTSS8yfP5/XX3/d6Ggupaqqih49erBo0aJrbp8/fz45OTm8+eab7N69m4CAABISErh06VKj5tKlvXLLzp07R0hICPn5+TzyyCNGx3F5lZWV9OrVizfeeIOsrCyio6NZuHCh0bFcVlpaGp988gnbt283Oopb+cEPfoDFYmHZsmWOtmHDhuHn58e7775rYDLXZTKZWL16NUOHDgW+PioSGhrK5MmTmTJlCgBlZWVYLBZWrFjBiBEjGi2LjozILSsrKwMgKCjI4CTuISkpie9///sMGjTI6ChuYd26dcTExPDkk08SEhJCz549Wbp0qdGxXF5cXBybN2/m2LFjAHz66afs2LGDxx57zOBk7qOoqIji4mKnvzWBgYHExsayc+fORh3b5ZeDlzvLZrORkpJCfHw83bp1MzqOy/vDH/7A/v372bt3r9FR3Mbf//53Fi9eTGpqKs8//zx79+5lwoQJeHt7k5iYaHQ8l5WWlkZ5eTmdO3fGw8OD2tpa5syZw8iRI42O5jaKi4sBsFgsTu0Wi8WxrbGoGJFbkpSUxMGDB9mxY4fRUVze6dOnmThxIps2bcLX19foOG7DZrMRExPD3LlzAejZsycHDx7kzTffVDHSiP74xz+ycuVKVq1aRdeuXSksLCQlJYXQ0FDtdzeg0zRy05KTk1m/fj1bt27l/vvvNzqOyysoKKC0tJRevXrh6emJp6cn+fn55OTk4OnpSW1trdERXVLbtm3p0qWLU1tkZCSnTp0yKJF7mDp1KmlpaYwYMYKoqCieeeYZJk2aRHZ2ttHR3IbVagWgpKTEqb2kpMSxrbGoGJEbstvtJCcns3r1arZs2UJERITRkdzCwIED+fzzzyksLHQ8YmJiGDlyJIWFhXh4eBgd0SXFx8fXu3T92LFjtGvXzqBE7qG6uhqz2fkrycPDA5vNZlAi9xMREYHVamXz5s2OtvLycnbv3k2fPn0adWydppEbSkpKYtWqVaxdu5bmzZs7zh0GBgbi5+dncDrX1bx583rzcgICAggODtZ8nUY0adIk4uLimDt3LsOHD2fPnj0sWbKEJUuWGB3NpQ0ZMoQ5c+YQHh5O165dOXDgAK+++irPPvus0dFcSmVlJV9++aXjeVFREYWFhQQFBREeHk5KSgpZWVl06NCBiIgIMjIyCA0NdVxx02jsIjcAXPPx29/+1uhobqdfv372iRMnGh3D5f3lL3+xd+vWze7j42Pv3LmzfcmSJUZHcnnl5eX2iRMn2sPDw+2+vr729u3b21944QV7TU2N0dFcytatW6/59zwxMdFut9vtNpvNnpGRYbdYLHYfHx/7wIED7UePHm30XFpnRERERAylOSMiIiJiKBUjIiIiYigVIyIiImIoFSMiIiJiKBUjIiIiYigVIyIiImIoFSMiIiJiKBUjIiIiYigVIyIiImIoFSMiIiJiKBUjIiIiYqj/A35eb8CVl0GdAAAAAElFTkSuQmCC", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pi, fi, df_ws3, df_cbm = compare_ws3_cbm(pools=pools, fluxes=fluxes,\n", " ws3_pool_coeff=pool_corr,\n", " ws3_flux_const=flux_corr*df_ws3[\"ha\"])" ] }, { "cell_type": "markdown", "id": "c2c67bc4-225b-49e1-ae12-ae18aae50926", "metadata": {}, "source": [ "Note that this correction hack is *not* guaranteed to work for all datasets, but might constitute a good start if you want to apply develop a single correction hack that could be applied to all carbon and flux indicators in your `ws3` model (across all scenarios). The way we implemented this would work reasonably well as a _post hoc_ correction on `ws3` model output (e.g., for reporting), but does not correct the carbon indicators inside the model (so they would still be a bit wonky and might distort harvesting solutions, e.g., if we included one or more wonky carbon indicators in an optimization problem).\n", " \n", "You could easily implement a similar pool correction inside `ws3` by scaling all carbon pool yield curves by an appropriate coefficient. \n", "\n", "The correction we applied to the flux estimates would be less intuitive to implement. To implement this correction inside an optimizaiton problem, you would likely have to define the appropriate `coeff_func` function to return something like $x + (Cxy)$, where $x$ is something like `fm.inventory(..., yname='flux_yname', ...)`, $y$ is something like `(fm.compile_product(..., expr='1.', acode='harvest', ...)` and $C$ is the flux correction coefficient (calculated similary to how we did it above, but then divided by the total system flux in `ws3`). Might get a bit messy, and may not be necessary at all depending on what you are trying to do (and why).\n", "\n", "The _post hoc_ calibration should work well enough for reporting purposes (or to confirm that \"optimizing\" for carbon in a `ws3` scenario actually did more good than harm, which is not a given)." ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "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": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 5 }