{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Time-explicit LCA of an electric vehicle\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook shows how to use `bw_timex` with a cradle-to-grave case study of an electric vehicle (ev). The case study is simplified, not meant to reflect the complexity of electric mobility but to demonstrate how to use `bw_timex`. \n",
    "\n",
    "> **Note:** This is the \"standalone\" version of this notebook with some made up background processes, but there is also a version available that works with ecoinvent and premise databases."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prospective background databases\n",
    "\n",
    "The `bw_timex` package itself does not provide any data - specifying prospective and dynamic information is up to the user. To make this notebook executable for anyone, anywhere, and not rely on any external data, we make up three different background databases for this example, representing the years 2020, 2030 and 2040. Also, we create a very simple biosphere database."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import bw2data as bd\n",
    "\n",
    "bd.projects.set_current(\"electric_vehicle_standalone\")\n",
    "\n",
    "# making sure to start fresh\n",
    "for db in list(bd.databases):\n",
    "    del bd.databases[db]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1/1 [00:00<00:00, 2003.97it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vacuuming database \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "biosphere = bd.Database(\"biosphere\")\n",
    "biosphere.write(\n",
    "    {\n",
    "        (\"biosphere\", \"CO2\"): {\n",
    "            \"type\": \"emission\",\n",
    "            \"name\": \"carbon dioxide\",\n",
    "        },\n",
    "    }\n",
    ")\n",
    "\n",
    "background_2020 = bd.Database(\"background_2020\")\n",
    "background_2030 = bd.Database(\"background_2030\")\n",
    "background_2040 = bd.Database(\"background_2040\")\n",
    "\n",
    "background_2020.write({})\n",
    "background_2030.write({})\n",
    "background_2040.write({})\n",
    "\n",
    "background_databases = [\n",
    "    background_2020,\n",
    "    background_2030,\n",
    "    background_2040,\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now create some very simple processes within these databases. These process get only one aggregated CO2-emission each. The amounts of these emissions change over time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "process_co2_emissions = {\n",
    "    \"glider\": (10, 5, 2.5), # for 2020, 2030 and 2040\n",
    "    \"powertrain\": (20, 10, 7.5),\n",
    "    \"battery\": (10, 5, 4),\n",
    "    \"electricity\": (0.5, 0.25, 0.075),\n",
    "    \"glider_eol\": (0.01, 0.0075, 0.005),\n",
    "    \"powertrain_eol\": (0.01, 0.0075, 0.005),\n",
    "    \"battery_eol\": (1, 0.5, 0.25),\n",
    "}\n",
    "\n",
    "node_co2 = biosphere.get(\"CO2\")\n",
    "\n",
    "for component_name, gwis in process_co2_emissions.items():\n",
    "    for database, gwi in zip(background_databases, gwis):\n",
    "        database.new_node(component_name, name=component_name, location=\"somewhere\").save()\n",
    "        component = database.get(component_name)\n",
    "        component[\"reference product\"] = component_name        \n",
    "        component.save()\n",
    "        production_amount = -1 if \"eol\" in component_name else 1\n",
    "        component.new_edge(input=component, amount=production_amount, type=\"production\").save()\n",
    "        component.new_edge(input=node_co2, amount=gwi, type=\"biosphere\").save()       \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Case study setup\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this study, we consider the following production system for our ev. Purple boxes are foreground, cyan boxes are background (i.e., ecoinvent/premise)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```{mermaid}\n",
    "flowchart LR\n",
    "    glider_production(glider production):::ei-->ev_production\n",
    "    powertrain_production(powertrain production):::ei-->ev_production\n",
    "    battery_production(battery production):::ei-->ev_production\n",
    "    ev_production(ev production):::fg-->driving\n",
    "    electricity_generation(electricity generation):::ei-->driving\n",
    "    driving(driving):::fg-->used_ev\n",
    "    used_ev(used ev):::fg-->glider_eol(glider eol):::ei\n",
    "    used_ev-->powertrain_eol(powertrain eol):::ei\n",
    "    used_ev-->battery_eol(battery eol):::ei\n",
    "\n",
    "    classDef ei color:#222832, fill:#3fb1c5, stroke:none;\n",
    "    classDef fg color:#222832, fill:#9c5ffd, stroke:none;\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Modeling the production system\n",
    "\n",
    "Now, we need to build this with brightway. If you are not interested in the modeling details, feel free to skip this section.\n",
    "\n",
    "For our ev model we make the following assumptions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "ELECTRICITY_CONSUMPTION = 0.2 # kWh/km\n",
    "MILEAGE = 150_000 # km\n",
    "LIFETIME = 15 # years\n",
    "\n",
    "# Overall mass: 1200 kg\n",
    "MASS_GLIDER = 840 # kg\n",
    "MASS_POWERTRAIN = 80 # kg\n",
    "MASS_BATTERY = 280 # kg"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we create a new foreground database:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "if \"foreground\" in bd.databases:\n",
    "    del bd.databases[\"foreground\"] # to make sure we create the foreground from scratch\n",
    "foreground = bd.Database(\"foreground\")\n",
    "foreground.register()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's creating the foreground activities:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "ev_production = foreground.new_node(\"ev_production\", name=\"production of an electric vehicle\", unit=\"unit\")\n",
    "ev_production['reference product'] = \"electric vehicle\"\n",
    "ev_production.save()\n",
    "\n",
    "driving = foreground.new_node(\"driving\", name=\"driving an electric vehicle\", unit=\"transport over an ev lifetime\")\n",
    "driving['reference product'] = \"transport\"\n",
    "driving.save()\n",
    "\n",
    "used_ev = foreground.new_node(\"used_ev\", name=\"used electric vehicle\", unit=\"unit\")\n",
    "used_ev['reference product'] = \"used electric vehicle\"\n",
    "used_ev.save()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's build the exchanges, starting with the ev production:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "glider_production = background_2020.get(code=\"glider\")\n",
    "powertrain_production = background_2020.get(code=\"powertrain\")\n",
    "battery_production = background_2020.get(code=\"battery\")\n",
    "\n",
    "ev_production.new_edge(input=ev_production, amount=1, type=\"production\").save()\n",
    "\n",
    "glider_to_ev = ev_production.new_edge(\n",
    "    input=glider_production,\n",
    "    amount=MASS_GLIDER, \n",
    "    type=\"technosphere\"\n",
    ")\n",
    "powertrain_to_ev = ev_production.new_edge(\n",
    "    input=powertrain_production, \n",
    "    amount=MASS_POWERTRAIN, \n",
    "    type=\"technosphere\"\n",
    ")\n",
    "battery_to_ev = ev_production.new_edge(\n",
    "    input=battery_production, \n",
    "    amount=MASS_BATTERY, \n",
    "    type=\"technosphere\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "... the end of life:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "glider_eol = background_2020.get(name=\"glider_eol\")\n",
    "powertrain_eol = background_2020.get(name=\"powertrain_eol\")\n",
    "battery_eol = background_2020.get(name=\"battery_eol\")\n",
    "\n",
    "used_ev.new_edge(input=used_ev, amount=-1, type=\"production\").save()  # -1 as this gets rid of a used car\n",
    "\n",
    "used_ev_to_glider_eol = used_ev.new_edge(\n",
    "    input=glider_eol,\n",
    "    amount=-MASS_GLIDER,\n",
    "    type=\"technosphere\",\n",
    ")\n",
    "used_ev_to_powertrain_eol = used_ev.new_edge(\n",
    "    input=powertrain_eol,\n",
    "    amount=-MASS_POWERTRAIN,\n",
    "    type=\"technosphere\",\n",
    ")\n",
    "used_ev_to_battery_eol = used_ev.new_edge(\n",
    "    input=battery_eol,\n",
    "    amount=-MASS_BATTERY,\n",
    "    type=\"technosphere\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "...and, finally, driving:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "electricity_production = background_2020.get(name=\"electricity\")\n",
    "\n",
    "driving.new_edge(input=driving, amount=1, type=\"production\").save()\n",
    "\n",
    "driving_to_used_ev = driving.new_edge(input=used_ev, amount=-1, type=\"technosphere\")\n",
    "ev_to_driving = driving.new_edge(\n",
    "    input=ev_production, \n",
    "    amount=1, \n",
    "    type=\"technosphere\"\n",
    ")\n",
    "electricity_to_driving = driving.new_edge(\n",
    "    input=electricity_production,\n",
    "    amount=ELECTRICITY_CONSUMPTION * MILEAGE,\n",
    "    type=\"technosphere\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adding temporal information\n",
    "\n",
    "Now that the production system is modelled, we can add temporal distributions at the exchange level. The temporal information we want to embed in our product system looks somewhat like this:\n",
    "\n",
    "```{mermaid}\n",
    "flowchart LR\n",
    "    glider_production(glider production):::ei-->|0-2 years prior|ev_production\n",
    "    powertrain_production(powertrain production):::ei-->|1 year prior|ev_production\n",
    "    battery_production(battery production):::ei-->|1 year prior|ev_production\n",
    "    ev_production(ev production):::fg-->|0-3 months prior|driving\n",
    "    electricity_generation(electricity generation):::ei-->|uniformly distributed \\n over lifetime|driving\n",
    "    driving(driving):::fg-->|after ev lifetime|used_ev\n",
    "    used_ev(used ev):::fg-->|3 months after \\n ev lifetime|glider_eol(glider eol):::ei\n",
    "    used_ev-->|3 months after \\n ev lifetime|powertrain_eol(powertrain eol):::ei\n",
    "    used_ev-->|3 months after \\n ev lifetime|battery_eol(battery eol):::ei\n",
    "\n",
    "    classDef ei color:#222832, fill:#3fb1c5, stroke:none;\n",
    "    classDef fg color:#222832, fill:#9c5ffd, stroke:none;\n",
    "```\n",
    "\n",
    "To include this temopral information, we use the `TemporalDistribution` class from `bw_temporalis`. For more info, take a look at the [bw_temporalis documentation](https://github.com/brightway-lca/bw_temporalis).\n",
    "\n",
    "Notably, in addition to the timestamp of the occurence of the process (which is shown in the flowchart above), we also need to specify the amount share of the exchange that happens at that time to fully define a `TemporalDistribution`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bw_temporalis import TemporalDistribution, easy_timedelta_distribution\n",
    "import numpy as np\n",
    "\n",
    "td_assembly_and_delivery = TemporalDistribution(\n",
    "    date=np.array([-3, -2], dtype=\"timedelta64[M]\"), amount=np.array([0.2, 0.8])\n",
    ")\n",
    "\n",
    "td_glider_production = TemporalDistribution(\n",
    "    date=np.array([-2, -1, 0], dtype=\"timedelta64[Y]\"), amount=np.array([0.7, 0.1, 0.2])\n",
    ")\n",
    "\n",
    "td_produce_powertrain_and_battery = TemporalDistribution(\n",
    "    date=np.array([-1], dtype=\"timedelta64[Y]\"), amount=np.array([1])\n",
    ")\n",
    "\n",
    "td_use_phase = easy_timedelta_distribution(\n",
    "    start=0,\n",
    "    end=LIFETIME,\n",
    "    resolution=\"Y\",\n",
    "    steps=(LIFETIME + 1),\n",
    "    kind=\"uniform\", # you can also do \"normal\" or \"triangular\" distributions\n",
    ")\n",
    "\n",
    "td_disassemble_used_ev = TemporalDistribution(\n",
    "    date=np.array([LIFETIME + 1], dtype=\"timedelta64[Y]\"), amount=np.array([1])\n",
    ")\n",
    "\n",
    "td_treating_waste = TemporalDistribution(\n",
    "    date=np.array([3], dtype=\"timedelta64[M]\"), amount=np.array([1])\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's explore what a `TemporalDistribution` looks like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Time (Months)', ylabel='Amount'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "td_assembly_and_delivery.graph(resolution=\"M\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Time (Months)', ylabel='Amount'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "td_glider_production.graph(resolution=\"M\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Starting from the functional unit in our supply chain graph, the temporal distributions of consecutive edges get \"multiplied\", or more specifically, convoluted. Let's look at an example to clarify this. The assembly and delivery of our ev happens either 2 or 3 months before we can start using it. Each of these occurences of this process demands a glider, which also has a temporal distribution that then gets convoluted \"back in time\". Also pay attention to how the amounts get scaled."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Time (Months)', ylabel='Amount'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(td_assembly_and_delivery * td_glider_production).graph(resolution=\"M\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now add the temporal information to the exchanges of our EV. We add temporal distributions to all (technosphere) exchanges, but you don't have to.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "glider_to_ev[\"temporal_distribution\"] = td_glider_production\n",
    "glider_to_ev.save()\n",
    "\n",
    "powertrain_to_ev[\"temporal_distribution\"] = td_produce_powertrain_and_battery\n",
    "powertrain_to_ev.save()\n",
    "\n",
    "battery_to_ev[\"temporal_distribution\"] = td_produce_powertrain_and_battery\n",
    "battery_to_ev.save()\n",
    "\n",
    "ev_to_driving[\"temporal_distribution\"] = td_assembly_and_delivery\n",
    "ev_to_driving.save()\n",
    "\n",
    "electricity_to_driving[\"temporal_distribution\"] = td_use_phase\n",
    "electricity_to_driving.save()\n",
    "\n",
    "driving_to_used_ev[\"temporal_distribution\"] = td_disassemble_used_ev\n",
    "driving_to_used_ev.save()\n",
    "\n",
    "used_ev_to_glider_eol[\"temporal_distribution\"] = td_treating_waste\n",
    "used_ev_to_glider_eol.save()\n",
    "\n",
    "used_ev_to_powertrain_eol[\"temporal_distribution\"] = td_treating_waste\n",
    "used_ev_to_powertrain_eol.save()\n",
    "\n",
    "used_ev_to_battery_eol[\"temporal_distribution\"] = td_treating_waste\n",
    "used_ev_to_battery_eol.save()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add a characterization method"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we need some characterization method. Again, this is just a simple made-up one:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "bd.Method((\"GWP\", \"example\")).write(\n",
    "    [\n",
    "        ((\"biosphere\", \"CO2\"), 1),\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## LCA using `bw_timex`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that the data is set up, we can get startet with the actual time-explicit LCA. As usual, we need to select a method first:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "method = (\"GWP\", \"example\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`bw_timex` needs to know the representative time of the databases:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "\n",
    "database_date_dict = {\n",
    "    background_2020.name: datetime.strptime(\"2020\", \"%Y\"),\n",
    "    background_2030.name: datetime.strptime(\"2030\", \"%Y\"),\n",
    "    background_2040.name: datetime.strptime(\"2040\", \"%Y\"),\n",
    "    \"foreground\": \"dynamic\",  # flag databases that should be temporally distributed with \"dynamic\"\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we can instantiate a `TimexLCA`. It's structure is similar to a normal `bw2calc.LCA`, but with the additional argument `database_date_dict`.\n",
    "\n",
    "Not sure about the required inputs? Check the documentation using `?`. All our classes and methods have docstrings!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[0;31mInit signature:\u001b[0m \u001b[0mTimexLCA\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdemand\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdatabase_date_dict\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mDocstring:\u001b[0m     \n",
      "Class to perform time-explicit LCA calculations.\n",
      "\n",
      "A TimexLCA retrieves the LCI of processes occuring at explicit points in time and relinks their technosphere\n",
      "exchanges to match the technology landscape at that point in time, while keeping track of the timing of the\n",
      "resulting emissions. As such, it combines prospective and dynamic LCA approaches.\n",
      "\n",
      "TimexLCA first calculates a static LCA, which informs a priority-first graph traversal. From the graph traversal,\n",
      "temporal relationships between exchanges and processes are derived. Based on the timing of the processes, bw_timex\n",
      "matches the processes at the intersection between foreground and background to the best available background\n",
      "databases. This temporal relinking is achieved by using datapackages to add new time-specific processes. The new\n",
      "processes and their exchanges to other technosphere processes or biosphere flows extent the technopshere and\n",
      "biosphere matrices.\n",
      "\n",
      "Temporal information of both processes and biosphere flows are retained, allowing for dynamic LCIA.\n",
      "\n",
      "Currently absolute Temporal Distributions for biosphere exchanges are dealt with as a look up function:\n",
      "If an activity happens at timestamp X then and the biosphere exchange has an absolute temporal\n",
      "distribution (ATD), it looks up the amount from from the ATD correspnding to timestamp X.\n",
      "E.g.: X = 2024, TD=(data=[2020,2021,2022,2023,2024,.....,2120 ], amount=[3,4,4,5,6,......,3]),\n",
      "it will look up the value 6 corresponding 2024. If timestamp X does not exist it find the nearest\n",
      "timestamp available (if two timestamps are equally close, it will take the first in order of\n",
      "apearance (see numpy.argmin() for this behabiour).\n",
      "\n",
      "\n",
      "TimexLCA calculates:\n",
      " 1) a static LCA score (`TimexLCA.static_lca.score`, same as `bw2calc.lca.score`),\n",
      " 2) a static time-explicit LCA score (`TimexLCA.static_score`), which links LCIs to the respective background databases but without additional temporal dynamics of the biosphere flows,\n",
      " 3) a dynamic time-explicit LCA score (`TimexLCA.dynamic_score`), with dynamic inventory and dynamic charaterization factors. These are provided for radiative forcing and GWP but can also be user-defined.\n",
      "\n",
      "Example\n",
      "-------\n",
      ">>> demand = {('my_foreground_database', 'my_process'): 1}\n",
      ">>> method = (\"some_method_family\", \"some_category\", \"some_method\")\n",
      ">>> database_date_dict = {\n",
      "        'my_background_database_one': datetime.strptime(\"2020\", \"%Y\"),\n",
      "        'my_background_database_two': datetime.strptime(\"2030\", \"%Y\"),\n",
      "        'my_foreground_database':'dynamic'\n",
      "    }\n",
      ">>> bw_timex = TimexLCA(demand, method, database_date_dict)\n",
      ">>> bw_timex.build_timeline() # you can pass many optional arguments here, also for the graph traversal\n",
      ">>> bw_timex.lci()\n",
      ">>> bw_timex.static_lcia()\n",
      ">>> print(bw_timex.static_score)\n",
      ">>> bw_timex.dynamic_lcia(metric=\"radiative_forcing\") # different metrics can be used, e.g. \"GWP\", \"radiative_forcing\"\n",
      ">>> print(bw_timex.dynamic_score)\n",
      "\u001b[0;31mInit docstring:\u001b[0m\n",
      "Instantiating a `TimexLCA` object calculates a static LCA, initializes time mapping dicts for activities and biosphere flows, and stores useful subsets of ids in the node_id_collection_dict.\n",
      "\n",
      "Parameters\n",
      "----------\n",
      "demand : dict[object: float]\n",
      "        The demand for which the LCA will be calculated. The keys can be Brightway `Node`\n",
      "        instances, `(database, code)` tuples, or integer ids.\n",
      "method : tuple\n",
      "        Tuple defining the LCIA method, such as `('foo', 'bar')` or default methods, such as `(\"EF v3.1\", \"climate change\", \"global warming potential (GWP100)\")`\n",
      "database_date_dict : dict, optional\n",
      "        Dictionary mapping database names to dates.\n",
      "\u001b[0;31mFile:\u001b[0m           ~/Documents/Coding/bw_timex/bw_timex/timex_lca.py\n",
      "\u001b[0;31mType:\u001b[0m           type\n",
      "\u001b[0;31mSubclasses:\u001b[0m     "
     ]
    }
   ],
   "source": [
    "from bw_timex import TimexLCA\n",
    "TimexLCA?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's create a `TimexLCA` object for our EV life cycle:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "tlca = TimexLCA({driving: 1}, method, database_date_dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we build a timeline of the exchanges. To do this, we can call the `build_timeline()` method, which does the graph traversal and creates a timeline dataframe from the results. The exchanges (rows of the dataframe) are aggregated to the resolution specified in the argument `temporal_grouping`. There are also many more options to specify the timeline creation and graph traversal process. Here are the most important ones:\n",
    "- `temporal_grouping`: temporal resolution to which processes will be aggregated,\"year\" (default), \"month\", \"day\" or \"hour\"\n",
    "- `interpolation_type`: How the best fitting background database is selected: \"linear\"(default), \"closest\"\n",
    "- `edge_filter_function`: Custom filter function specifying when to stop the graph traversal.\n",
    "- `cutoff`: stops graph traversal for nodes below this contribution to the static impact score.\n",
    "- `max_calc`: stops graph traversal if this number of nodes has been traversed\n",
    "\n",
    "For all these options, we provide sensible default values. Of course you can always just check the docstrings to see all your options and our assumptions for default values. \n",
    "\n",
    "So, let's build the timeline. We choose a monthly temporal grouping here because we use that resolution in our temporal distributions.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting graph traversal\n",
      "Calculation count: 9\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/timodiepers/Documents/Coding/bw_timex/bw_timex/timex_lca.py:194: UserWarning: No edge filter function provided. Skipping all edges within background databases.\n",
      "  warnings.warn(\n",
      "/Users/timodiepers/Documents/Coding/bw_timex/bw_timex/timeline_builder.py:527: Warning: Reference date 2040-08-01 00:00:00 is higher than all provided dates. Data will be taken from the closest lower year.\n",
      "  warnings.warn(\n",
      "/Users/timodiepers/Documents/Coding/bw_timex/bw_timex/timeline_builder.py:527: Warning: Reference date 2040-11-01 00:00:00 is higher than all provided dates. Data will be taken from the closest lower year.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date_producer</th>\n",
       "      <th>producer_name</th>\n",
       "      <th>date_consumer</th>\n",
       "      <th>consumer_name</th>\n",
       "      <th>amount</th>\n",
       "      <th>interpolation_weights</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-05-01</td>\n",
       "      <td>glider</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>production of an electric vehicle</td>\n",
       "      <td>588.0</td>\n",
       "      <td>{'background_2020': 0.7670407883931015, 'backg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>glider</td>\n",
       "      <td>2024-06-01</td>\n",
       "      <td>production of an electric vehicle</td>\n",
       "      <td>588.0</td>\n",
       "      <td>{'background_2020': 0.7585546126471393, 'backg...</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-05-01</td>\n",
       "      <td>glider</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>production of an electric vehicle</td>\n",
       "      <td>84.0</td>\n",
       "      <td>{'background_2020': 0.6671229126745142, 'backg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-05-01</td>\n",
       "      <td>powertrain</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>production of an electric vehicle</td>\n",
       "      <td>80.0</td>\n",
       "      <td>{'background_2020': 0.6671229126745142, 'backg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-05-01</td>\n",
       "      <td>battery</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>production of an electric vehicle</td>\n",
       "      <td>280.0</td>\n",
       "      <td>{'background_2020': 0.6671229126745142, 'backg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>glider</td>\n",
       "      <td>2024-06-01</td>\n",
       "      <td>production of an electric vehicle</td>\n",
       "      <td>84.0</td>\n",
       "      <td>{'background_2020': 0.658636736928552, 'backgr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>powertrain</td>\n",
       "      <td>2024-06-01</td>\n",
       "      <td>production of an electric vehicle</td>\n",
       "      <td>80.0</td>\n",
       "      <td>{'background_2020': 0.658636736928552, 'backgr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>battery</td>\n",
       "      <td>2024-06-01</td>\n",
       "      <td>production of an electric vehicle</td>\n",
       "      <td>280.0</td>\n",
       "      <td>{'background_2020': 0.658636736928552, 'backgr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>glider</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>production of an electric vehicle</td>\n",
       "      <td>168.0</td>\n",
       "      <td>{'background_2020': 0.5669312893512182, 'backg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>production of an electric vehicle</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>0.2</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2024-06-01</td>\n",
       "      <td>glider</td>\n",
       "      <td>2024-06-01</td>\n",
       "      <td>production of an electric vehicle</td>\n",
       "      <td>168.0</td>\n",
       "      <td>{'background_2020': 0.558445113605256, 'backgr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2024-06-01</td>\n",
       "      <td>production of an electric vehicle</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>0.8</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2020': 0.54174650971804, 'backgro...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>-1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2025-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2020': 0.4418286339994525, 'backg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2026-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2020': 0.34191075828086503, 'back...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2027-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2020': 0.24199288256227758, 'back...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2028-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2020': 0.14180125923898168, 'back...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2029-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2020': 0.041883383520394224, 'bac...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2030-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2030': 0.9419496166484118, 'backg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2031-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2030': 0.8420043811610076, 'backg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2032-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2030': 0.7417853231106244, 'backg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2033-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2030': 0.6418400876232202, 'backg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2034-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2030': 0.541894852135816, 'backgr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2035-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2030': 0.4419496166484118, 'backg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2036-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2030': 0.3417305585980285, 'backg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2037-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2030': 0.24178532311062428, 'back...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2038-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2030': 0.1418400876232202, 'backg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2039-08-01</td>\n",
       "      <td>electricity</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>1875.0</td>\n",
       "      <td>{'background_2030': 0.04189485213581601, 'back...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2040-08-01</td>\n",
       "      <td>used electric vehicle</td>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>driving an electric vehicle</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2040-11-01</td>\n",
       "      <td>glider_eol</td>\n",
       "      <td>2040-08-01</td>\n",
       "      <td>used electric vehicle</td>\n",
       "      <td>-840.0</td>\n",
       "      <td>{'background_2040': 1}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2040-11-01</td>\n",
       "      <td>powertrain_eol</td>\n",
       "      <td>2040-08-01</td>\n",
       "      <td>used electric vehicle</td>\n",
       "      <td>-80.0</td>\n",
       "      <td>{'background_2040': 1}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2040-11-01</td>\n",
       "      <td>battery_eol</td>\n",
       "      <td>2040-08-01</td>\n",
       "      <td>used electric vehicle</td>\n",
       "      <td>-280.0</td>\n",
       "      <td>{'background_2040': 1}</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   date_producer                      producer_name date_consumer  \\\n",
       "0     2022-05-01                             glider    2024-05-01   \n",
       "1     2022-06-01                             glider    2024-06-01   \n",
       "2     2023-05-01                             glider    2024-05-01   \n",
       "3     2023-05-01                         powertrain    2024-05-01   \n",
       "4     2023-05-01                            battery    2024-05-01   \n",
       "5     2023-06-01                             glider    2024-06-01   \n",
       "6     2023-06-01                         powertrain    2024-06-01   \n",
       "7     2023-06-01                            battery    2024-06-01   \n",
       "8     2024-05-01                             glider    2024-05-01   \n",
       "9     2024-05-01  production of an electric vehicle    2024-08-01   \n",
       "10    2024-06-01                             glider    2024-06-01   \n",
       "11    2024-06-01  production of an electric vehicle    2024-08-01   \n",
       "12    2024-08-01                        electricity    2024-08-01   \n",
       "13    2024-08-01        driving an electric vehicle    2024-08-01   \n",
       "14    2025-08-01                        electricity    2024-08-01   \n",
       "15    2026-08-01                        electricity    2024-08-01   \n",
       "16    2027-08-01                        electricity    2024-08-01   \n",
       "17    2028-08-01                        electricity    2024-08-01   \n",
       "18    2029-08-01                        electricity    2024-08-01   \n",
       "19    2030-08-01                        electricity    2024-08-01   \n",
       "20    2031-08-01                        electricity    2024-08-01   \n",
       "21    2032-08-01                        electricity    2024-08-01   \n",
       "22    2033-08-01                        electricity    2024-08-01   \n",
       "23    2034-08-01                        electricity    2024-08-01   \n",
       "24    2035-08-01                        electricity    2024-08-01   \n",
       "25    2036-08-01                        electricity    2024-08-01   \n",
       "26    2037-08-01                        electricity    2024-08-01   \n",
       "27    2038-08-01                        electricity    2024-08-01   \n",
       "28    2039-08-01                        electricity    2024-08-01   \n",
       "29    2040-08-01              used electric vehicle    2024-08-01   \n",
       "30    2040-11-01                         glider_eol    2040-08-01   \n",
       "31    2040-11-01                     powertrain_eol    2040-08-01   \n",
       "32    2040-11-01                        battery_eol    2040-08-01   \n",
       "\n",
       "                        consumer_name  amount  \\\n",
       "0   production of an electric vehicle   588.0   \n",
       "1   production of an electric vehicle   588.0   \n",
       "2   production of an electric vehicle    84.0   \n",
       "3   production of an electric vehicle    80.0   \n",
       "4   production of an electric vehicle   280.0   \n",
       "5   production of an electric vehicle    84.0   \n",
       "6   production of an electric vehicle    80.0   \n",
       "7   production of an electric vehicle   280.0   \n",
       "8   production of an electric vehicle   168.0   \n",
       "9         driving an electric vehicle     0.2   \n",
       "10  production of an electric vehicle   168.0   \n",
       "11        driving an electric vehicle     0.8   \n",
       "12        driving an electric vehicle  1875.0   \n",
       "13                                 -1     1.0   \n",
       "14        driving an electric vehicle  1875.0   \n",
       "15        driving an electric vehicle  1875.0   \n",
       "16        driving an electric vehicle  1875.0   \n",
       "17        driving an electric vehicle  1875.0   \n",
       "18        driving an electric vehicle  1875.0   \n",
       "19        driving an electric vehicle  1875.0   \n",
       "20        driving an electric vehicle  1875.0   \n",
       "21        driving an electric vehicle  1875.0   \n",
       "22        driving an electric vehicle  1875.0   \n",
       "23        driving an electric vehicle  1875.0   \n",
       "24        driving an electric vehicle  1875.0   \n",
       "25        driving an electric vehicle  1875.0   \n",
       "26        driving an electric vehicle  1875.0   \n",
       "27        driving an electric vehicle  1875.0   \n",
       "28        driving an electric vehicle  1875.0   \n",
       "29        driving an electric vehicle    -1.0   \n",
       "30              used electric vehicle  -840.0   \n",
       "31              used electric vehicle   -80.0   \n",
       "32              used electric vehicle  -280.0   \n",
       "\n",
       "                                interpolation_weights  \n",
       "0   {'background_2020': 0.7670407883931015, 'backg...  \n",
       "1   {'background_2020': 0.7585546126471393, 'backg...  \n",
       "2   {'background_2020': 0.6671229126745142, 'backg...  \n",
       "3   {'background_2020': 0.6671229126745142, 'backg...  \n",
       "4   {'background_2020': 0.6671229126745142, 'backg...  \n",
       "5   {'background_2020': 0.658636736928552, 'backgr...  \n",
       "6   {'background_2020': 0.658636736928552, 'backgr...  \n",
       "7   {'background_2020': 0.658636736928552, 'backgr...  \n",
       "8   {'background_2020': 0.5669312893512182, 'backg...  \n",
       "9                                                None  \n",
       "10  {'background_2020': 0.558445113605256, 'backgr...  \n",
       "11                                               None  \n",
       "12  {'background_2020': 0.54174650971804, 'backgro...  \n",
       "13                                               None  \n",
       "14  {'background_2020': 0.4418286339994525, 'backg...  \n",
       "15  {'background_2020': 0.34191075828086503, 'back...  \n",
       "16  {'background_2020': 0.24199288256227758, 'back...  \n",
       "17  {'background_2020': 0.14180125923898168, 'back...  \n",
       "18  {'background_2020': 0.041883383520394224, 'bac...  \n",
       "19  {'background_2030': 0.9419496166484118, 'backg...  \n",
       "20  {'background_2030': 0.8420043811610076, 'backg...  \n",
       "21  {'background_2030': 0.7417853231106244, 'backg...  \n",
       "22  {'background_2030': 0.6418400876232202, 'backg...  \n",
       "23  {'background_2030': 0.541894852135816, 'backgr...  \n",
       "24  {'background_2030': 0.4419496166484118, 'backg...  \n",
       "25  {'background_2030': 0.3417305585980285, 'backg...  \n",
       "26  {'background_2030': 0.24178532311062428, 'back...  \n",
       "27  {'background_2030': 0.1418400876232202, 'backg...  \n",
       "28  {'background_2030': 0.04189485213581601, 'back...  \n",
       "29                                               None  \n",
       "30                             {'background_2040': 1}  \n",
       "31                             {'background_2040': 1}  \n",
       "32                             {'background_2040': 1}  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tlca.build_timeline(temporal_grouping=\"month\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The interpolation weights in the timeline (right most column above) specify the share of the amount of an exchange to be sourced from the respective database. \n",
    "`None` means that the exchange is in the foreground supply chain, and not at the intersection with the background system.  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we calculate the time-explicit LCI. The `TimexLCA.lci()` function takes care of all the relinking, based on the information from the timeline. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.10/site-packages/bw2calc/lca_base.py:127: SparseEfficiencyWarning: splu converted its input to CSC format\n",
      "  self.solver = factorized(self.technosphere_matrix)\n"
     ]
    }
   ],
   "source": [
    "tlca.lci()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Taking a look at the `dynamic_inventory` that was now created, we can see that it has more rows (emissions) one - even though co2 is the only biosphere flow we modeled. Instead of one row for each emission in the biosphere database we now get one row for each emission at each point in time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Compressed Sparse Row sparse matrix of dtype 'float64'\n",
       "\twith 29 stored elements and shape (23, 57)>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tlca.dynamic_inventory"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The standard, non-dynamic inventory has far less rows because the temporal resolution is missing. Looking at the timeline again, we see that we have processes at 23 different points in time (only counting the ones that actually directly produce emissions), which exactly matches the ratio of the dimensions of our two inventories:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 57)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tlca.base_lca.inventory.shape # (#rows, #cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "23.0"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tlca.dynamic_inventory.shape[0]/tlca.base_lca.inventory.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "While under the hood, the dynamic inventory is calculated as a sparse matrix, there is also a more human-friendly version as a pandas DataFrame:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>amount</th>\n",
       "      <th>flow</th>\n",
       "      <th>activity</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-05-01</td>\n",
       "      <td>1039.019984</td>\n",
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       "      <td>26</td>\n",
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       "      <th>1</th>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>4136.120449</td>\n",
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       "      <td>27</td>\n",
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       "      <th>2</th>\n",
       "      <td>2023-05-01</td>\n",
       "      <td>466.794416</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-05-01</td>\n",
       "      <td>266.739666</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-05-01</td>\n",
       "      <td>140.038325</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>1857.673145</td>\n",
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       "      <td>33</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>1061.527512</td>\n",
       "      <td>1</td>\n",
       "      <td>32</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>557.301944</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>263.244457</td>\n",
       "      <td>1</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024-06-01</td>\n",
       "      <td>1047.275116</td>\n",
       "      <td>1</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2024-08-01</td>\n",
       "      <td>722.693676</td>\n",
       "      <td>1</td>\n",
       "      <td>38</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2025-08-01</td>\n",
       "      <td>675.857172</td>\n",
       "      <td>1</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2026-08-01</td>\n",
       "      <td>629.020668</td>\n",
       "      <td>1</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2027-08-01</td>\n",
       "      <td>582.184164</td>\n",
       "      <td>1</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2028-08-01</td>\n",
       "      <td>535.219340</td>\n",
       "      <td>1</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2029-08-01</td>\n",
       "      <td>488.382836</td>\n",
       "      <td>1</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2030-08-01</td>\n",
       "      <td>449.702218</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2031-08-01</td>\n",
       "      <td>416.907688</td>\n",
       "      <td>1</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2032-08-01</td>\n",
       "      <td>384.023311</td>\n",
       "      <td>1</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2033-08-01</td>\n",
       "      <td>351.228781</td>\n",
       "      <td>1</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2034-08-01</td>\n",
       "      <td>318.434251</td>\n",
       "      <td>1</td>\n",
       "      <td>49</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
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       "      <td>285.639721</td>\n",
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       "      <td>50</td>\n",
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       "      <td>252.755343</td>\n",
       "      <td>1</td>\n",
       "      <td>51</td>\n",
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       "      <th>23</th>\n",
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       "      <td>219.960813</td>\n",
       "      <td>1</td>\n",
       "      <td>52</td>\n",
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       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2038-08-01</td>\n",
       "      <td>187.166284</td>\n",
       "      <td>1</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2039-08-01</td>\n",
       "      <td>154.371754</td>\n",
       "      <td>1</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2040-11-01</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2040-11-01</td>\n",
       "      <td>4.200000</td>\n",
       "      <td>1</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2040-11-01</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>1</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date       amount  flow  activity\n",
       "0  2022-05-01  1039.019984     1        26\n",
       "1  2022-06-01  4136.120449     1        27\n",
       "2  2023-05-01   466.794416     1        30\n",
       "3  2023-05-01   266.739666     1        29\n",
       "4  2023-05-01   140.038325     1        28\n",
       "5  2023-06-01  1857.673145     1        33\n",
       "6  2023-06-01  1061.527512     1        32\n",
       "7  2023-06-01   557.301944     1        31\n",
       "8  2024-05-01   263.244457     1        34\n",
       "9  2024-06-01  1047.275116     1        36\n",
       "10 2024-08-01   722.693676     1        38\n",
       "11 2025-08-01   675.857172     1        40\n",
       "12 2026-08-01   629.020668     1        41\n",
       "13 2027-08-01   582.184164     1        42\n",
       "14 2028-08-01   535.219340     1        43\n",
       "15 2029-08-01   488.382836     1        44\n",
       "16 2030-08-01   449.702218     1        45\n",
       "17 2031-08-01   416.907688     1        46\n",
       "18 2032-08-01   384.023311     1        47\n",
       "19 2033-08-01   351.228781     1        48\n",
       "20 2034-08-01   318.434251     1        49\n",
       "21 2035-08-01   285.639721     1        50\n",
       "22 2036-08-01   252.755343     1        51\n",
       "23 2037-08-01   219.960813     1        52\n",
       "24 2038-08-01   187.166284     1        53\n",
       "25 2039-08-01   154.371754     1        54\n",
       "26 2040-11-01    70.000000     1        58\n",
       "28 2040-11-01     4.200000     1        56\n",
       "27 2040-11-01     0.400000     1        57"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tlca.dynamic_inventory_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we are only interested in the new overall time-explicit scores and don't care about the timing of the emissions, we can set `build_dynamic_biosphere=False` (default is `True`), which saves time and memory. In that case, you only get the `TimexLCA.inventory`, but not the `TimexLCA.dynamic_inventory`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In case the timing of emissions is not important, one can directly calculate the LCIA the \"standard way\" using static characterization methods. Per default, the following calculates the static lcia score based on the impact method chosen in the very beginning:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17563.883032708363"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tlca.static_lcia()\n",
    "tlca.score   #kg CO2-eq"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At this point, we can already compare these time-explicit results to the results of an \"ordinary\", completely static LCA. These already exist within the TimexLCA class, originally to set the priorities for the graph traversal:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "28089.199999794364"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tlca.base_lca.score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dynamic Characterization\n",
    "In addition to the standard static characterization, the time-explicit, dynamic inventory generated by a `TimexLCA` allows for dynamic characterization. Users can provide their own dynamic characterization functions and link them to corresponding biosphere flows (see example on [dynamic characterization](https://github.com/TimoDiepers/timex/blob/main/notebooks/example_simple_dynamic_characterization.ipynb)). \n",
    "\n",
    "Alternatively, you can use the functions from our separate (but fully compatible) package [dynamic_characterization](https://dynamic-characterization.readthedocs.io/en/latest/). We provide two different metrics for dynamic LCIA of Climate Change: Radiative forcing [W/m2] and Global Warming Potential (GWP) [kg CO2-eq]. For both of these metrics, we have parameterized dynamic characterization functions for all GHG's that [IPCC AR6](https://www.ipcc.ch/report/ar6/wg1/chapter/chapter-7/) provides data for.\n",
    "\n",
    "For the dynamic characterization, users can also choose the length of the considered time horizon (`time_horizon`) and whether it is a fixed time horizon (`fixed_time_horizon`). Fixed means that the time horizon for all emissions (no matter when they occur) starts counting at the time of the functional unit, resulting in shorter time horizons for emissions occuring later. If the time horizon is not fixed (this is what conventional impact assessment factors assume), it starts counting from the timing of the emission.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Radiative forcing\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's import a dynamic characterization function for CO2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dynamic_characterization.ipcc_ar6.radiative_forcing import characterize_co2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then, we can create the characterization_function_dict where we map the function to the corresponding flow via its ID:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "characterization_function_dict = {\n",
    "    bd.get_node(code=\"CO2\").id: characterize_co2,\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can do the actual dynamic characterization:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>amount</th>\n",
       "      <th>flow</th>\n",
       "      <th>activity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-05-01 05:49:12</td>\n",
       "      <td>1.711476e-12</td>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-06-01 05:49:12</td>\n",
       "      <td>6.813028e-12</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2024-04-30 05:49:12</td>\n",
       "      <td>4.393743e-13</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2024-04-30 05:49:12</td>\n",
       "      <td>2.306715e-13</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2024-04-30 05:49:12</td>\n",
       "      <td>7.689050e-13</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2708</th>\n",
       "      <td>2123-08-02 01:37:12</td>\n",
       "      <td>2.743986e-13</td>\n",
       "      <td>1</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2709</th>\n",
       "      <td>2123-08-02 02:20:24</td>\n",
       "      <td>1.825679e-13</td>\n",
       "      <td>1</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2710</th>\n",
       "      <td>2123-11-02 03:03:36</td>\n",
       "      <td>5.114609e-14</td>\n",
       "      <td>1</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2711</th>\n",
       "      <td>2123-11-02 03:03:36</td>\n",
       "      <td>3.068766e-15</td>\n",
       "      <td>1</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2712</th>\n",
       "      <td>2123-11-02 03:03:36</td>\n",
       "      <td>2.922634e-16</td>\n",
       "      <td>1</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2713 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    date        amount  flow  activity\n",
       "0    2023-05-01 05:49:12  1.711476e-12     1        26\n",
       "1    2023-06-01 05:49:12  6.813028e-12     1        27\n",
       "2    2024-04-30 05:49:12  4.393743e-13     1        29\n",
       "3    2024-04-30 05:49:12  2.306715e-13     1        28\n",
       "4    2024-04-30 05:49:12  7.689050e-13     1        30\n",
       "...                  ...           ...   ...       ...\n",
       "2708 2123-08-02 01:37:12  2.743986e-13     1        47\n",
       "2709 2123-08-02 02:20:24  1.825679e-13     1        51\n",
       "2710 2123-11-02 03:03:36  5.114609e-14     1        58\n",
       "2711 2123-11-02 03:03:36  3.068766e-15     1        56\n",
       "2712 2123-11-02 03:03:36  2.922634e-16     1        57\n",
       "\n",
       "[2713 rows x 4 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tlca.dynamic_lcia(metric=\"radiative_forcing\", fixed_time_horizon=True, characterization_function_dict=characterization_function_dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The method call returns a dataframe of all the individual emissions at their respective timesteps, but we can also just look at the overall score:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.5385763605772788e-09"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tlca.dynamic_score #W/m2 (radiative forcing)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To visualize the results, we provide a simple plotting functions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tlca.plot_dynamic_characterized_inventory()  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This can be a bit messy, though, because all the individual impacts caused by individual emissions (e.g., CO2, CH4, N2O, ...) appear. Luckily, there is also an option to sum the emissions within each activity:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tlca.plot_dynamic_characterized_inventory(sum_emissions_within_activity=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is also a flag to plot the cumulative score over time:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tlca.plot_dynamic_characterized_inventory(sum_activities=True, cumsum=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### GWP\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similar options are available for the metric GWP, which compares the radiative forcing of a GHG to that of CO2 over a certain time horizon (commonly 100 years, but it can be set flexibly in `time_horizon`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.10/site-packages/dynamic_characterization/dynamic_characterization.py:262: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "17563.883032708363"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tlca.dynamic_lcia(metric=\"GWP\", fixed_time_horizon=False, time_horizon=70, characterization_function_dict=characterization_function_dict)\n",
    "tlca.dynamic_score #kg CO2-eq (GWP)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plotting the GWP results over time:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tlca.plot_dynamic_characterized_inventory(sum_emissions_within_activity=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cumulative:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3mo1kt9ieMgEuQ12qx6hVtbrKM03ZDUOh8pHLabE3CgDnwePnAAAAAIAKK115it+yrNCxKdtWKUPOMq6obDidTgW5bAoz7Qp22eRyEWgCqFwINQEAAAAAFVZabrZSc04XOpbrcurI6fQyrggAUBYINQEAAAAAFZbtAhsC+RSxUzgAoGIj1AQAAAAAVFhhPv6qFRRe6FiIr7+q+weVcUUAgLJAqAkAAAAAqLBC5KOXWnSXv81zH1y7YeilFt0VYrI/LgBYEb+7AwAAAIAF5dmkU2aejmWdUqCPnxy+AQox7TJNs7xLK1Uul0v1/MKU0HGIvj24TT+f/F0NQqvr9uimqmL4SxZ7vwCAMwg1AQAAAMBisuymZuzcqM93/yCXzoR6EQEher3VnarjGyLTajtlm6Yc8tGAus3lrHut7JJcTheBJgBYGI+fAwAAAICF2Gw2Lftjhz7dvdkdaErSkaxTGrHmU6Uqtxyru7RcTqcMp+tMoAkAsDRCTQAAAACwkHTlaXryukLHMvJytPXkH7LZ+E9BAEDFxp9kAAAAAGAhTtPUiezMIsd3pR+TYRhlWBEAAKWPUBMAAAAALMTHMBQZGFrkeGNHpFxWW1MTAFDpEGoCAAAAgIWEGr76v0ZtCh2r4hekRmERltsBHQBQ+RBqAgAAAICFOJ1O3VgtWg83aS9/u4/7eGxYDU1t209h8jnP2QAAVAz8aQYAAACg0jDtNmWaeZIpBdt8JIvuku3vMnRnravVJepKpeVlyd/mo1C7nwJNG4+eAwAsgVATAAAAgOUZhqFUI0+f7NygxQe3y2YY6ln3at1V71qFuuyWfBzbcLkUJrvC7MFnDrgkU9Z7nwCAyolQEwAAAIDlpRlOPbDqEx3PznAfm7Fjg5Yd+k3vtr5bISYrcwEAUJHwJzcAAAAASzNsNn21/2ePQDPfwcxUJR3dI7vdXg6VAQCAi0WoCQAAAMDSMs08LTv0W5Hj3x7YpizTWYYVAQAAbxFqAgAAALA0m2EowO5b5HiA3Vd2wyjDigAAgLcINQEAAABYWqDsurt+8yLH74m5TnY2BAcAoEIh1AQAAABgaS6XS62qR+v66tEFxjpHXamGIdUtufs5AABWxu7nAAAAACwv0GnouWtv1d7Mk5q/92fZbYbuiG6muoHhCnDx6DkAABUNoSYAAABQyfn4nPnPAqfTaek7FoNchq4KrKamV3eSZMjldMp0Wff9AgBgZYSaAAAAQCWVYzN1LPe0vt6zVam5WbqlViM1DK2hIAvfuWiappx57HQOAEBFR6gJAAAAVEI5Nmnu/p/0r9/Wuo99e2CbGobV0D9a3algp3WDTQAAUPGxURAAAABQCR3PO+0RaOZLTjuqeXu3SHb+UwEAAFy++JsKAAAAUMn4+PjomwO/FDk+b8+PyjDzyrAiAACAkiHUBAAAACqh9JysIscynbllWAkAAEDJEWoCAAAAlYzT6VSXWo2KHG8TUV/+spdhRQAAACVDqAkAAABUMqZpKiakqpqERxYY87f76KEmbeXjMsuhMgAAgOIh1AQAAAAqoSCXTfHX364HGrVRVf8g+dt91LnWlZreYZBqGAHlXR4AAMB5+ZR3AQAAAADKR5DTUP8616hnnatkSgqQ/cwdmiZ3aQIAgMsboSYAAABwDpvtzANNLpernCu59Fwul4LdD3ARZgIAgIqBUBMAAAD4H6dNyjCd+vnkAaXmnNY1VWurmm+gAlxGeZcGAACAsxBqAgAAAJKchvRj2mE9s3GB8sw/79C8MaKe/t81tyjQSbAJAABwuWCjIAAAAEBSmnL19Mb5HoGmJK09skcL9m+VYeOvzgAAAJcL/mYGAACASs9ut2vVH7vkLGKDnE92fa9TyivjqgAAAFAUQk0AAABUeoZh6I+s9CLH03Kz2EIHAADgMkKoCQAAgErP6XSqVfXoIscbhUfIR6ypCQAAcLkg1AQAAEClZ5qmYkOrq3aQo9DxR6/uqECTvzoDAABcLirE38zmzJmjRx99VB07dlRERIQcDocSEhIKnTthwgQ5HI5C/4mMjCzyGp999pk6d+6sWrVq6YorrtDdd9+tzZs3Fzl/586duu+++9SgQQPVrFlTbdq00QcffCCXy1Xo/OzsbMXHxysuLk6RkZFq1KiRRo4cqcOHD5fswwAAAMAlEWLaNbl1X91cu5Hsxpm7MqODq2jSjX1UL9Ahs4j1NgEAAFD2fMq7gOIYP3689u/fr2rVqikyMlL79++/4Dn9+/dXdLTnI0Q+PoW/3TfeeEPjxo1TnTp1NGzYMGVkZOiLL77Qrbfeqrlz56p9+/Ye87dv366uXbvq9OnT6t27t6KiorRkyRKNHj1aW7du1aRJkzzmu1wuDRgwQMuWLVPLli3Vq1cv7d69WwkJCVqxYoWWLVt23sAVAAAAl55pmgo1bXqycUcNb9RWTtOlAJuPQuRT5A+uAQAAUD4qRKj5zjvvKCYmRtHR0XrzzTc1duzYC54zYMCAAmFkYXbu3KkJEyYoNjZWy5YtU3h4uCTpwQcfVJcuXfTII49ow4YNHoHoY489prS0NH366afq2rWrJOnZZ59V3759NX36dPXp00cdOnRwz589e7aWLVumPn366MMPP5Txv5/8z5o1S3/729/0wgsv6L333ivRZwIAAIBLw+4yFZ7/12SX5BKBJgAAwOWmQjx+3rFjxwJ3XZaWhIQE5eXl6fHHH3cHmpLUpEkT3Xvvvdq9e7dWrlzpPr5jxw6tWbNG7du3dweakuTr66vnnntOkjRjxgyPa+R//cILL7gDTUkaNGiQGjVqpHnz5ik9vejdNgEAAMqbYRiy2SrEXx0BAABQCVj2b6ZJSUmaNGmS3nnnHS1atEjZ2dmFzlu1apUkqXPnzgXG8o+tXr26WPPj4uIUHh7uMT8rK0sbN25Uw4YNCw1mO3XqpOzsbG3cuLEE7w4AAKBsGIahUzaXfso4pkVHk7UzJ1WZNtPjB7UAAABAWasQj59fjFdeecXj65o1a2rq1Knq1KmTx/GdO3cqJCSk0DUtGzRo4J5z9nxJiomJKTDfMAzFxMRo8+bNyszMVFBQkHbv3i2Xy1Xo/HOvcW5t58rKyjrveFnIycnx+Deshf5aF721NvprbeXZX7vdrmO2PI1c+7lSck67j18RUkUTW/VWQLaTzXO8wPeutdFfa6O/1kVvrY3+Xt4CAgJKNN9yoWazZs00depUtW3bVhERETp06JDmzp2riRMnqn///lqyZImaNWvmnp+WlqYaNWoU+lqhoaHuOWfPl+TxqHpR5wQFBZVo/oUcOnRITqfzgvPKAru2Wxv9tS56a23019rKo7+OulF6bON8j0BTkvaeOqlXtyzVo9E3KO3IsTKvy2r43rU2+mtt9Ne66K210d/Lj91uL/KGwKJYLtTs2bOnx9cxMTF68sknFRERoVGjRukf//iHpk+fXk7VeadWrVrlXYJycnJ0+PBhRUZGys/Pr7zLQSmjv9ZFb62N/lpbefb3D1uOjmadKnRsw7F98mnaWXX9A8u0Jivhe9fa6K+10V/rorfWRn+txXKhZlH69++vxx9/XOvWrfM4HhYWVuRdkvmb94SFhXnMl6TU1NTznpN/B2Zx5599jaKU9DbcS8nPz++yqgeli/5aF721NvprbWXdX8MwlHbq/BsZZrvyVC0gqIwqsi6+d62N/lob/bUuemtt9NcaLLtR0Ln8/PwUEhKizMxMj+MNGjTQqVOnCr31OH/9zPx1L8/+9a5duwrMN01Tu3btUlRUlIKDgyVJ9evXl81mK3R+UdcAAAAob6ZpqlZw4cvnSFKg3VehPv5lWBEAAADwp0oTau7cuVMpKSkFdiBv27atJGn58uUFzsk/lj9Hktq1a1fk/E2bNik1NdVjfkBAgOLi4pScnKx9+/YVOGfFihXy9/dXXFzcRbwrAACASyfM5qebasYWOja0YSuFGr5lXBEAAABwhqVCzfT0dP38888FjqekpOhvf/ubJKlv374eYwMHDpSPj4/eeOMNj0fEt23bpk8++UT169dXhw4d3MdjY2PVpk0bJSYmavHixe7jubm5Gj9+vCRpyJAhHtcYOnSoJGns2LEeO4TOmjVLv/76q3r37l2sx88BAADKkp9LeqJpZ90b00L+9jOrFoX7BujRqzuqV52rJZernCsEAABAZVUh1tScMWOGkpKSJEm//PKLJGnmzJlatWqVJKlHjx7q2bOnTpw4oXbt2um6667TVVddpRo1aujQoUNaunSpTpw4oU6dOmnEiBEerx0bG6unnnpK48ePV9u2bXXHHXcoMzNTc+fOVW5uriZNmiQfH8+PaeLEieratasGDRqkO++8U1FRUVq6dKm2bt2qIUOGeISg0pn1POfNm6e5c+dq7969ateunfbs2aP58+erTp06Gjt27KX66AAAALwS6JTuj2mlfvWuU47LqQCbXaGGr0wngSYAAADKT4UINZOSkvTxxx97HFu7dq3Wrl0rSYqOjlbPnj1VpUoVPfDAA9qwYYO+/fZbpaamKigoSFdffbX69eunIUOGyG63F3j9J554QtHR0Zo6daqmTZsmX19ftWrVSs8884xatGhRYH7jxo21fPlyjRs3TkuXLlVGRoZiYmIUHx+vBx54oMB8u92u2bNn66233tKcOXM0ZcoUORwODRgwQM8++6wiIyNL6ZMCAAAofYbTpTDZJcMumZJpEmgCAACgfBkpKSnmhacBZ2RlZWn//v2qW7cuO4VZEP21LnprbfTX2uivddFba6O/1kZ/rYveWhv9tRZLrakJAABQVmw2m3x8fGSz8dcpAAAAoKxViMfPAQAALheGYSjdcOqXlN+1+cR+RQdXVZuIegqTjwyefwEAAADKBKEmAABAMRmGoRPK0fDVn+pYVob7+Ns2u9664S41CqwqmSSbAAAAwKXG81IAAADFlG2YevmHxR6BpiTlupx6csN/lG7klVNlAAAAQOVCqAkAAFBMp1y5+uHEwULHMvN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      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tlca.plot_dynamic_characterized_inventory(sum_emissions_within_activity=True, cumsum=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Comparison of time-explicit results to static results\n",
    "It's helpful to understand how the time-explicit results differ from those using static assessments. \n",
    "\n",
    "We compare the time-explicit results with those of an LCA for the year 2020 and 2040 for the standard GWP100 metric (time horizon=100 and no fixed time horizon). This means we neglect the additional differences of the time-explicit results that would arise from using dynamic LCIA. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Time-explicit scores:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.10/site-packages/dynamic_characterization/dynamic_characterization.py:262: UserWarning: Using bw_timex's default CO2 characterization function for GWP reference.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "17563.883032708363"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tlca.dynamic_lcia(metric=\"GWP\", fixed_time_horizon=False, time_horizon=100, characterization_function_dict=characterization_function_dict)\n",
    "tlca.dynamic_score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The 2020 (static) score has already been calculated by TimexLCA in the beginning, but we can still access the score:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "28089.199999794364"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tlca.base_lca.score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, further down we also want to look at what part of the life cycle has what contribution. To get this info, we need some more calculations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "static_scores = {}\n",
    "for exc in driving.technosphere():\n",
    "    if exc.input == ev_production:\n",
    "        for subexc in exc.input.technosphere():\n",
    "            tlca.base_lca.lcia(demand={subexc.input.id: exc.amount * subexc.amount * subexc.input.rp_exchange().amount})\n",
    "            static_scores[subexc.input[\"name\"]] = tlca.base_lca.score\n",
    "    elif exc.input == used_ev:\n",
    "        for subexc in exc.input.technosphere():\n",
    "            tlca.base_lca.lcia(demand={subexc.input.id: exc.amount * subexc.amount * subexc.input.rp_exchange().amount})\n",
    "            static_scores[subexc.input[\"name\"]] = tlca.base_lca.score\n",
    "    else:\n",
    "        tlca.base_lca.lcia(demand={exc.input.id: exc.amount})\n",
    "        static_scores[exc.input[\"name\"]] = tlca.base_lca.score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similarly, we calculate the 2040 (prospective) scores by just changing the database the exchanges point to:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/timodiepers/anaconda3/envs/timex/lib/python3.10/site-packages/bw2calc/lca_base.py:127: SparseEfficiencyWarning: splu converted its input to CSC format\n",
      "  self.solver = factorized(self.technosphere_matrix)\n"
     ]
    }
   ],
   "source": [
    "import bw2calc as bc\n",
    "\n",
    "# first create a copy of the system and relink to processes from 2040 database\n",
    "try:\n",
    "    prospective_driving = driving.copy(code=\"prospective_driving\", name=\"driving an electric vehi0cle in 2040\")\n",
    "except:\n",
    "    foreground.get(code=\"prospective_driving\").delete()\n",
    "    prospective_driving = driving.copy(code=\"prospective_driving\", name=\"driving an electric vehicle in 2040\")\n",
    "    \n",
    "\n",
    "for exc in prospective_driving.technosphere():\n",
    "    if exc.input == ev_production:\n",
    "        prospective_ev_production = ev_production.copy(name=\"production of an electric vehicle in 2040\")\n",
    "        exc.input = prospective_ev_production\n",
    "        exc.save()\n",
    "        for subexc in prospective_ev_production.technosphere():\n",
    "            subexc.input = bd.get_node(\n",
    "                database=background_2040.name,\n",
    "                name=subexc.input[\"name\"],\n",
    "                product=subexc.input[\"reference product\"],\n",
    "                location=subexc.input[\"location\"],\n",
    "            )\n",
    "            subexc.save()\n",
    "    elif exc.input == used_ev:\n",
    "        prospective_used_ev = used_ev.copy(name=\"used electric vehicle in 2040\")\n",
    "        exc.input = prospective_used_ev\n",
    "        exc.save()\n",
    "        for subexc in prospective_used_ev.technosphere():\n",
    "            subexc.input = bd.get_node(\n",
    "                database=background_2040.name,\n",
    "                name=subexc.input[\"name\"],\n",
    "                product=subexc.input[\"reference product\"],\n",
    "                location=subexc.input[\"location\"],\n",
    "            )\n",
    "            subexc.save()\n",
    "    else:\n",
    "        exc.input = bd.get_node(\n",
    "            database=background_2040.name,\n",
    "            name=exc.input[\"name\"],\n",
    "            product=exc.input[\"reference product\"],\n",
    "            location=exc.input[\"location\"],\n",
    "        )\n",
    "    exc.save()\n",
    "\n",
    "prospective_scores = {}\n",
    "lca = bc.LCA({prospective_driving.key: 1}, method)\n",
    "lca.lci(factorize=True)\n",
    "for exc in prospective_driving.technosphere():\n",
    "    if exc.input[\"name\"] in (prospective_ev_production[\"name\"], prospective_used_ev[\"name\"]):\n",
    "        for subexc in exc.input.technosphere():\n",
    "            lca.lcia(demand={subexc.input.id: exc.amount * subexc.amount * subexc.input.rp_exchange().amount})\n",
    "            prospective_scores[subexc.input[\"name\"]] = lca.score\n",
    "    else:\n",
    "        lca.lcia(demand={exc.input.id: exc.amount})\n",
    "        prospective_scores[exc.input[\"name\"]] = lca.score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets compare the overall scores:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Static score:  28089.199999794364\n",
      "Prospective score:  6144.600089304149\n",
      "Time-explicit score:  17563.883032708363\n"
     ]
    }
   ],
   "source": [
    "print(\"Static score: \", sum(static_scores.values())) # should be the same as tlca.base_lca.score\n",
    "print(\"Prospective score: \", sum(prospective_scores.values()))\n",
    "print(\"Time-explicit score: \", tlca.dynamic_score)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To better understand what's going on, let's plot the scores as a waterfall chart  based on timing of emission. Also, we can look at the \"first-level contributions\":"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bw_timex.utils import plot_characterized_inventory_as_waterfall\n",
    "\n",
    "order_stacked_activities = (\n",
    "    [ \n",
    "        glider_production[\"name\"],\n",
    "        battery_production[\"name\"],\n",
    "        powertrain_production[\"name\"],\n",
    "        electricity_production[\"name\"],\n",
    "        glider_eol[\"name\"],\n",
    "        battery_eol[\"name\"],\n",
    "        powertrain_eol[\"name\"],\n",
    "    ]\n",
    ")\n",
    "\n",
    "plot_characterized_inventory_as_waterfall(\n",
    "    tlca,\n",
    "    static_scores=static_scores,\n",
    "    prospective_scores=prospective_scores,\n",
    "    order_stacked_activities=order_stacked_activities,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One can see that the time-explicit results (in the middle) are somewhere in between the static and the prospective results. This makes sense as at each timestep, the underlying processes are sourced from progressively \"cleaner\" background databases, reaching a lower impact than if they are only sourced from the current database, but not so low as the prospective results, which are fully sourced from the most decarbonized database. Notably, the electricity consumption in the use-phase, modelled uniformly over the lifetime of the EV, contributes less and less to the score in the later years, since the electricity becomes cleaner in the future databases."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "medusa",
   "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": 2
}