{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# HVAC Loops"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conceptual Introduction to HVAC Loops"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Eppy builds threee kinds of loops for the energyplus idf file:\n",
    "\n",
    "1. Plant Loops\n",
    "2. Condensor Loops\n",
    "3. Air Loops\n",
    "\n",
    "All loops have two halves:\n",
    "\n",
    "1. Supply side\n",
    "2. Demand Side\n",
    "\n",
    "The supply side provides the energy to the demand side that needs the energy. So the end-nodes on the supply side connect to the end-nodes on the demand side. \n",
    "\n",
    "The loop is made up of branches connected to each other. A single branch can lead to multiple branches through a **splitter** component. Multiple branches can lead to a single branch through a **mixer** component. \n",
    "\n",
    "Each branch is made up of components connected in series (in a line)\n",
    "\n",
    "Eppy starts off by building the shape or topology of the loop by connecting the branches in the right order. The braches themselves have a single component in them, that is just a place holder. Usually it is a pipe component. In an air loop it would be a duct component.\n",
    "\n",
    "The shape of the loop for the supply or demand side is quite simple. \n",
    "\n",
    "It can be described in the following manner for the supply side\n",
    "\n",
    "- The supply side starts single branch leads to a splitter\n",
    "- The splitter leads to multiple branches\n",
    "- these multiple branches come back and join in a mixer\n",
    "- the mixer leads to a single branch that becomes end of the suppply side\n",
    "\n",
    "For the demand side we have:\n",
    "\n",
    "- The demand side starts single branch leads to a splitter\n",
    "- The splitter leads to multiple branches\n",
    "- these multiple branches come back and join in a mixer\n",
    "- the mixer leads to a single branch that becomes end of the demand side\n",
    "\n",
    "The two ends of the supply side connect to the two ends of the demand side.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Diagramtically the the two sides of the loop will look like this::\n"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "    Supply Side:\n",
    "    ------------\n",
    "                    -> branch1 -> \n",
    "    start_branch   --> branch2 --> end_branch\n",
    "                    -> branch3 ->\n",
    "    Demand Side:\n",
    "    ------------\n",
    "    \n",
    "                      -> d_branch1 -> \n",
    "    d_start_branch   --> d_branch2 --> d_end_branch\n",
    "                      -> d_branch3 ->\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "In eppy you could embody this is a list\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "supplyside = ['start_brandh',   [  'branch1',   'branch2',   'branch3'],   'end_branch']\n",
    "demandside = ['d_start_brandh', ['d_branch1', 'd_branch2', 'd_branch3'], 'd_end_branch']\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Eppy will build the build the shape/topology of the loop using the two lists above. Each branch will have a placeholder component, like a pipe or a duct::"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "    \n",
    "    branch1 = --duct--\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we will have to replace the placeholder with the real components that make up the loop. For instance, branch1 should really have a pre-heat coil leading to a supply fan leading to a cooling coil leading to a heating coil::"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "    \n",
    "    new_branch = pre-heatcoil -> supplyfan -> coolingcoil -> heatingcoil\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Eppy lets you build a new branch and you can replace branch1 with new_branch\n",
    "\n",
    "In this manner we can build up the entire loop with the right components, once the initial toplogy is right"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building a Plant loops"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Eppy can build up the topology of a plant loop using single pipes in a branch.  Once we do that the simple branch in the loop we have built can be replaced with a more complex branch.\n",
    "\n",
    "Let us try this out ans see how it works."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Building the topology of the loop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# you would normaly install eppy by doing\n",
    "# python setup.py install\n",
    "# or\n",
    "# pip install eppy\n",
    "# or\n",
    "# easy_install eppy\n",
    "\n",
    "# if you have not done so, uncomment the following three lines\n",
    "import sys\n",
    "# pathnameto_eppy = 'c:/eppy'\n",
    "pathnameto_eppy = '../'\n",
    "sys.path.append(pathnameto_eppy) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from eppy.modeleditor import IDF\n",
    "from eppy import hvacbuilder\n",
    "\n",
    "from io import StringIO\n",
    "iddfile = \"../eppy/resources/iddfiles/Energy+V7_0_0_036.idd\"\n",
    "IDF.setiddname(iddfile)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# make the topology of the loop\n",
    "idf = IDF(StringIO('')) # makes an empty idf file in memory with no file name\n",
    "loopname = \"p_loop\"\n",
    "sloop = ['sb0', ['sb1', 'sb2', 'sb3'], 'sb4'] # supply side of the loop\n",
    "dloop = ['db0', ['db1', 'db2', 'db3'], 'db4'] # demand side of the loop\n",
    "hvacbuilder.makeplantloop(idf, loopname, sloop, dloop)\n",
    "idf.saveas(\"hhh1.idf\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have made plant loop and saved it as hhh1.idf.  \n",
    "Now let us look at what the loop looks like.  \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Diagram of the loop"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us use the script \"eppy/useful_scripts/loopdiagrams.py\" to draw this diagram"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "See [Generating a Loop Diagram](useful_scripts.html#loopdiagram-py) page for details on how to do this"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below is the diagram for this simple loop\n",
    "\n",
    "*Note: the supply and demnd sides are not connected in the diagram, but shown seperately for clarity*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import ex_inits #no need to know this code, it just shows the image below\n",
    "for_images = ex_inits\n",
    "for_images.display_png(for_images.plantloop1) # display the image below\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Modifying the topology of the loop"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us make a new branch and replace the exisiting branch \n",
    "\n",
    "The existing branch name is \"sb0\" and it contains a single pipe component sb0_pipe.\n",
    "\n",
    "Let us replace it with a branch that has a chiller that is connected to a pipe which is turn connected to another pipe. So the connections in the new branch would look like \"chiller-> pipe1->pipe2\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../eppy/modeleditor.py:757: UserWarning: The aname parameter should no longer be used.\n",
      "  warnings.warn(\"The aname parameter should no longer be used.\", UserWarning)\n"
     ]
    }
   ],
   "source": [
    "# make a new branch chiller->pipe1-> pipe2\n",
    "\n",
    "# make a new pipe component\n",
    "pipe1 = idf.newidfobject(\"PIPE:ADIABATIC\", 'np1')\n",
    "\n",
    "# make a new chiller\n",
    "chiller = idf.newidfobject(\"Chiller:Electric\".upper(), 'Central_Chiller')\n",
    "\n",
    "# make another pipe component\n",
    "pipe2 = idf.newidfobject(\"PIPE:ADIABATIC\", 'np2')\n",
    "\n",
    "# get the loop we are trying to modify\n",
    "loop = idf.getobject('PLANTLOOP', 'p_loop') # args are (key, name)\n",
    "# get the branch we are trying to modify\n",
    "branch = idf.getobject('BRANCH', 'sb0') # args are (key, name)\n",
    "listofcomponents = [chiller, pipe1, pipe2] # the new components are connected in this order\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we are going to try to replace **branch** with the a branch made up of **listofcomponents**\n",
    "\n",
    "- We will do this by calling the function replacebranch\n",
    "- Calling replacebranch can throw an exception `WhichLoopError`\n",
    "- In a moment, you will see why this exception is important"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Where should this loop connect ?\n",
      "CHILLER:ELECTRIC - Central_Chiller\n",
      "['Chilled_Water_', 'Condenser_', 'Heat_Recovery_']\n",
      "\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    newbr = hvacbuilder.replacebranch(idf, loop, branch, listofcomponents, fluid='Water')\n",
    "except hvacbuilder.WhichLoopError as e:\n",
    "    print(e)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above code throws the exception. It says that the idfobject `CHILLER:ELECTRIC - Central_Chiller` has three possible connections. The chiller has inlet outlet nodes for the following\n",
    "\n",
    "- Chilled water\n",
    "- Condenser\n",
    "- Heat Recovery\n",
    "\n",
    "eppy does not know which one to connect to, and it needs your help. We know that the chiller needs to be connected to the chilled water inlet and outlet. Simply copy `Chilled_Water_` from the text in the exception and paste as shown in the code below. (make sure you copy it exactly. eppy is a little nerdy about that)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no exception was thrown\n"
     ]
    }
   ],
   "source": [
    "# instead of passing chiller to the function, we pass a tuple (chiller, 'Chilled_Water_').\n",
    "# This lets eppy know where the connection should be made.\n",
    "# The idfobject pipe does not have this ambiguity. So pipes do not need this extra information\n",
    "listofcomponents = [(chiller, 'Chilled_Water_'), pipe1, pipe2]\n",
    "\n",
    "try:\n",
    "    newbr = hvacbuilder.replacebranch(idf, loop, branch, listofcomponents, fluid='Water')\n",
    "except Exception as e:\n",
    "    print(e)\n",
    "else: # else will run only if the try suceeds\n",
    "    print(\"no exception was thrown\")\n",
    "\n",
    "idf.saveas(\"hhh_new.idf\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Tagential note*: The `\"try .. except .. else\"` statement is useful here. If you have not run across it before, take a look at these two links\n",
    "\n",
    "- http://shahriar.svbtle.com/the-possibly-forgotten-optional-else-in-python-try-statement\n",
    "- https://docs.python.org/2/tutorial/errors.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have saved this as  file \"hhh_new.idf\".  \n",
    "Let us draw the diagram of this file.  (run this from eppy/eppy folder)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "python ex_loopdiagram.py hhh_new.idf\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import ex_inits #no need to know this code, it just shows the image below\n",
    "for_images = ex_inits\n",
    "for_images.display_png(for_images.plantloop2) # display the image below\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This diagram shows the new components in the branch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Work flow with `WhichLoopError`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When you are writing scripts don't bother to use `try .. except` for `WhichLoopError`. \n",
    "\n",
    "- Simply allow the exception to be raised. \n",
    "- Use the information in the exception to update your code\n",
    "- You may have to do this a couple of times in your script.\n",
    "- In a sense you are letting eppy tell you how to update the script.\n",
    "\n",
    "*Question:* I am writing an application using eppy, not just a script. The above workflow does not work for me\n",
    "\n",
    "*Response:* Aha ! If that is the case, open an issue in [github/eppy](https://github.com/santoshphilip/eppy). We are lazy people. We don't write code unless it is needed :-)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Traversing the loop"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It would be nice to move through the loop using functions \"nextnode()\" and \"prevnode()\"\n",
    "\n",
    "Eppy indeed has such functions\n",
    "\n",
    "Let us try to traverse the loop above. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# to traverse the loop we are going to call some functions ex_loopdiagrams.py, \n",
    "# the program that draws the loop diagrams.\n",
    "from eppy.useful_scripts import loopdiagram\n",
    "fname = 'hhh_new.idf'\n",
    "iddfile = '../eppy/resources/iddfiles/Energy+V8_0_0.idd'\n",
    "edges = loopdiagram.getedges(fname, iddfile)\n",
    "# edges are the lines that draw the nodes in the loop. \n",
    "# The term comes from graph theory in mathematics\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above code gets us the edges of the loop diagram. Once we have the edges, we can traverse through the diagram. Let us start with the \"Central_Chiller\" and work our way down."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['np1']\n"
     ]
    }
   ],
   "source": [
    "from eppy import walk_hvac\n",
    "firstnode = \"Central_Chiller\"\n",
    "nextnodes = walk_hvac.nextnode(edges, firstnode)\n",
    "print(nextnodes)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['np2']\n"
     ]
    }
   ],
   "source": [
    "nextnodes = walk_hvac.nextnode(edges, nextnodes[0])\n",
    "print(nextnodes)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['p_loop_supply_splitter']\n"
     ]
    }
   ],
   "source": [
    "nextnodes = walk_hvac.nextnode(edges, nextnodes[0])\n",
    "print(nextnodes)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['sb1_pipe', 'sb2_pipe', 'sb3_pipe']\n"
     ]
    }
   ],
   "source": [
    "nextnodes = walk_hvac.nextnode(edges, nextnodes[0])\n",
    "print(nextnodes)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This leads us to three components -> ['sb1_pipe', 'sb2_pipe', 'sb3_pipe']. Let us follow one of them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['p_loop_supply_mixer']\n"
     ]
    }
   ],
   "source": [
    "nextnodes = walk_hvac.nextnode(edges, nextnodes[0])\n",
    "print(nextnodes)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['sb4_pipe']\n"
     ]
    }
   ],
   "source": [
    "nextnodes = walk_hvac.nextnode(edges, nextnodes[0])\n",
    "print(nextnodes)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[]\n"
     ]
    }
   ],
   "source": [
    "nextnodes = walk_hvac.nextnode(edges, nextnodes[0])\n",
    "print(nextnodes)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have reached the end of this branch. There are no more components. \n",
    "\n",
    "We can follow this in reverse using the function prevnode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['p_loop_supply_mixer']\n"
     ]
    }
   ],
   "source": [
    "lastnode = 'sb4_pipe'\n",
    "prevnodes = walk_hvac.prevnode(edges, lastnode)\n",
    "print(prevnodes)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['sb1_pipe', 'sb2_pipe', 'sb3_pipe']\n"
     ]
    }
   ],
   "source": [
    "prevnodes = walk_hvac.prevnode(edges, prevnodes[0])\n",
    "print(prevnodes)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['p_loop_supply_splitter']\n"
     ]
    }
   ],
   "source": [
    "prevnodes = walk_hvac.prevnode(edges, prevnodes[0])\n",
    "print(prevnodes)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['np2']\n"
     ]
    }
   ],
   "source": [
    "prevnodes = walk_hvac.prevnode(edges, prevnodes[0])\n",
    "print(prevnodes)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['np1']\n"
     ]
    }
   ],
   "source": [
    "prevnodes = walk_hvac.prevnode(edges, prevnodes[0])\n",
    "print(prevnodes)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Central_Chiller']\n"
     ]
    }
   ],
   "source": [
    "prevnodes = walk_hvac.prevnode(edges, prevnodes[0])\n",
    "print(prevnodes)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[]\n"
     ]
    }
   ],
   "source": [
    "prevnodes = walk_hvac.prevnode(edges, prevnodes[0])\n",
    "print(prevnodes)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All the way to where the loop ends"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building a Condensor loop"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We build the condensor loop the same way we built the plant loop. Pipes are put as place holders for the components. Let us build a new idf file with just a condensor loop in it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "condensorloop_idf = IDF(StringIO('')) \n",
    "loopname = \"c_loop\"\n",
    "sloop = ['sb0', ['sb1', 'sb2', 'sb3'], 'sb4'] # supply side\n",
    "dloop = ['db0', ['db1', 'db2', 'db3'], 'db4'] # demand side\n",
    "theloop = hvacbuilder.makecondenserloop(condensorloop_idf, loopname, sloop, dloop)\n",
    "condensorloop_idf.saveas(\"c_loop.idf\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Again, just as we did in the plant loop, we can change the components of the loop, by replacing the branchs and traverse the loop using the functions nextnode() and prevnode()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building an Air Loop"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Building an air loop is similar to the plant and condensor loop. The difference is that instead of pipes , we have ducts as placeholder components. The other difference is that we have zones on the demand side."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "airloop_idf = IDF(StringIO('')) \n",
    "loopname = \"a_loop\"\n",
    "sloop = ['sb0', ['sb1', 'sb2', 'sb3'], 'sb4'] # supply side of the loop\n",
    "dloop = ['zone1', 'zone2', 'zone3'] # zones on the demand side\n",
    "hvacbuilder.makeairloop(airloop_idf, loopname, sloop, dloop)\n",
    "airloop_idf.saveas(\"a_loop.idf\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Again, just as we did in the plant and condensor loop, we can change the components of the loop, by replacing the branchs and traverse the loop using the functions nextnode() and prevnode()"
   ]
  }
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