{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "# Adding Basic Components (v4.0)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Creating a new Feb object"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### The basics"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We can create a new FEB file with basically no information. To do so, we can simply call Feb and provide it a version. Right now, we accept versions 2.5 and 3.0."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb40(4.0):\n",
                            "-> Module: Unknown\n",
                            "-> Control: 0\n",
                            "-> Material: 0\n",
                            "-> Globals: 0\n",
                            "-> Mesh: 0\n",
                            "-> MeshDomains: 0\n",
                            "-> MeshData: 0\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 0\n",
                            "-> Discrete: 0\n",
                            "-> LoadData: 0\n",
                            "-> Output: 0"
                        ]
                    },
                    "execution_count": 1,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "from febio_python import Feb\n",
                "from febio_python.feb import Feb40 # for type hinting\n",
                "\n",
                "feb: Feb40 = Feb(version=4.0)\n",
                "feb"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "You will notices that all contents of the feb file are zero. This means that there is nothing stored in the feb right now. Let's start modifying it. We will begin with simple structures, like module, globals and controls:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "qn_method {'attr_type': 'BFGS', 'max_ups': 10, 'max_buffer_size': 0, 'cycle_buffer': 1, 'cmax': 100000}\n"
                    ]
                }
            ],
            "source": [
                "feb.setup_module(module_type=\"solid\") # default values\n",
                "feb.setup_globals(T=0, P=0, R=0, Fc=0) # default values\n",
                "feb.setup_controls(analysis=\"STATIC\") # here, you can change basic settings. See docs for more info.\n",
                "feb.setup_output(variables=[\"displacement\", \"Lagrange strain\", \"stress\"]) # default values"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We can check the FEB object. It now has some data:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb40(4.0):\n",
                            "-> Module: solid\n",
                            "-> Control: 12\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Mesh: 0\n",
                            "-> MeshDomains: 0\n",
                            "-> MeshData: 0\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 0\n",
                            "-> Discrete: 0\n",
                            "-> Output: 1\n",
                            "-> LoadData: 0"
                        ]
                    },
                    "execution_count": 3,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "feb"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Adding Mesh"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We will now add more interestind data to our feb. Let's start by creating a simple mesh with pyvista:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": "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",
                        "text/plain": [
                            "<PIL.Image.Image image mode=RGB size=800x400>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "import pyvista as pv\n",
                "pv.set_jupyter_backend('static')\n",
                "\n",
                "# Create a simple mesh (plane mesh)\n",
                "mesh = pv.Plane(direction=(0,0,1), i_size=2, j_size=1, i_resolution=6, j_resolution=3)\n",
                "mesh = mesh.cast_to_unstructured_grid() # we will be using unstructured grid for FEBio\n",
                "mesh.plot(show_edges=True, window_size=(800, 400), cpos='xy')"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "In Pyvista, an unstructured grid is defined as \"points\" (nodes) and \"cells\" (elements). We can access them like this: "
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "pyvista_ndarray([[-1.        , -0.5       ,  0.        ],\n",
                            "                 [-0.6666667 , -0.5       ,  0.        ],\n",
                            "                 [-0.33333334, -0.5       ,  0.        ],\n",
                            "                 [ 0.        , -0.5       ,  0.        ],\n",
                            "                 [ 0.33333334, -0.5       ,  0.        ],\n",
                            "                 [ 0.6666667 , -0.5       ,  0.        ],\n",
                            "                 [ 1.        , -0.5       ,  0.        ],\n",
                            "                 [-1.        , -0.16666667,  0.        ],\n",
                            "                 [-0.6666667 , -0.16666667,  0.        ],\n",
                            "                 [-0.33333334, -0.16666667,  0.        ],\n",
                            "                 [ 0.        , -0.16666667,  0.        ],\n",
                            "                 [ 0.33333334, -0.16666667,  0.        ],\n",
                            "                 [ 0.6666667 , -0.16666667,  0.        ],\n",
                            "                 [ 1.        , -0.16666667,  0.        ],\n",
                            "                 [-1.        ,  0.16666667,  0.        ],\n",
                            "                 [-0.6666667 ,  0.16666667,  0.        ],\n",
                            "                 [-0.33333334,  0.16666667,  0.        ],\n",
                            "                 [ 0.        ,  0.16666667,  0.        ],\n",
                            "                 [ 0.33333334,  0.16666667,  0.        ],\n",
                            "                 [ 0.6666667 ,  0.16666667,  0.        ],\n",
                            "                 [ 1.        ,  0.16666667,  0.        ],\n",
                            "                 [-1.        ,  0.5       ,  0.        ],\n",
                            "                 [-0.6666667 ,  0.5       ,  0.        ],\n",
                            "                 [-0.33333334,  0.5       ,  0.        ],\n",
                            "                 [ 0.        ,  0.5       ,  0.        ],\n",
                            "                 [ 0.33333334,  0.5       ,  0.        ],\n",
                            "                 [ 0.6666667 ,  0.5       ,  0.        ],\n",
                            "                 [ 1.        ,  0.5       ,  0.        ]], dtype=float32)"
                        ]
                    },
                    "execution_count": 5,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "mesh.points"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "{9: array([[ 0,  1,  8,  7],\n",
                            "        [ 1,  2,  9,  8],\n",
                            "        [ 2,  3, 10,  9],\n",
                            "        [ 3,  4, 11, 10],\n",
                            "        [ 4,  5, 12, 11],\n",
                            "        [ 5,  6, 13, 12],\n",
                            "        [ 7,  8, 15, 14],\n",
                            "        [ 8,  9, 16, 15],\n",
                            "        [ 9, 10, 17, 16],\n",
                            "        [10, 11, 18, 17],\n",
                            "        [11, 12, 19, 18],\n",
                            "        [12, 13, 20, 19],\n",
                            "        [14, 15, 22, 21],\n",
                            "        [15, 16, 23, 22],\n",
                            "        [16, 17, 24, 23],\n",
                            "        [17, 18, 25, 24],\n",
                            "        [18, 19, 26, 25],\n",
                            "        [19, 20, 27, 26]], dtype=int64)}"
                        ]
                    },
                    "execution_count": 6,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "mesh.cells_dict"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "Number of nodes: 28\n",
                        "Number of elements: 18\n"
                    ]
                }
            ],
            "source": [
                "print(f\"Number of nodes: {mesh.points.shape[0]}\")\n",
                "print(f\"Number of elements: {mesh.cells_dict[pv.CellType.QUAD].shape[0]}\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "metadata": {},
            "outputs": [],
            "source": [
                "from febio_python.core import Nodes, Elements\n",
                "# Create nodes\n",
                "nodes = Nodes(name=\"plane\", coordinates=mesh.points)\n",
                "# Create elements\n",
                "elements = Elements(name=\"plane_elements\",\n",
                "                    mat=\"1\",\n",
                "                    part=\"Part1\",\n",
                "                    type=\"QUAD\",\n",
                "                    connectivity=mesh.cells_dict[pv.CellType.QUAD.value],\n",
                "                    )\n",
                "# Add nodes and elements to the feb object (need to be lists)\n",
                "feb.add_nodes([nodes])\n",
                "feb.add_elements([elements])"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We can now see that we have two 'Mesh' items:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb40(4.0):\n",
                            "-> Module: solid\n",
                            "-> Control: 12\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Mesh: 2\n",
                            "--> Nodes: 28\n",
                            "--> Elements: 18\n",
                            "-> MeshDomains: 0\n",
                            "-> MeshData: 0\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 0\n",
                            "-> Discrete: 0\n",
                            "-> Output: 1\n",
                            "-> LoadData: 0"
                        ]
                    },
                    "execution_count": 9,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "feb"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We can further inspect them:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "--> Nodes 'plane': 28\n",
                        "--> Elements 'plane_elements': 18\n",
                        "\n"
                    ]
                }
            ],
            "source": [
                "feb.inspect_nodes_and_elements()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Modfying nodes/elements"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Oh no! We have defined a too coarse mesh! Let's create a fine mesh and update our feb."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<PIL.Image.Image image mode=RGB size=800x400>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Create a simple mesh (plane mesh)\n",
                "mesh = pv.Plane(direction=(0,0,1), i_size=2, j_size=1, i_resolution=10, j_resolution=5)\n",
                "mesh = mesh.cast_to_unstructured_grid() # we will be using unstructured grid for FEBio\n",
                "mesh.plot(show_edges=True, window_size=(800, 400), cpos='xy')"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 12,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "Number of nodes: 66\n",
                        "Number of elements: 50\n"
                    ]
                }
            ],
            "source": [
                "print(f\"Number of nodes: {mesh.points.shape[0]}\")\n",
                "print(f\"Number of elements: {mesh.cells_dict[pv.CellType.QUAD].shape[0]}\")"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Note that if we use the function \"ADD\" again, it will add the new nodes to the existing nodes in the same mesh. This is used when we are creating mesh in an iterative process. Let's try:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 13,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "--> Nodes 'plane': 94\n",
                        "--> Elements 'plane_elements': 68\n",
                        "\n"
                    ]
                }
            ],
            "source": [
                "# Create nodes\n",
                "nodes = Nodes(name=\"plane\", coordinates=mesh.points)\n",
                "# Create elements\n",
                "elements = Elements(name=\"plane_elements\",\n",
                "                    mat=\"1\",\n",
                "                    part=\"Part1\",\n",
                "                    type=\"QUAD\",\n",
                "                    connectivity=mesh.cells_dict[pv.CellType.QUAD.value],\n",
                "                    )\n",
                "# Add nodes and elements to the feb object (need to be lists)\n",
                "feb.add_nodes([nodes])\n",
                "feb.add_elements([elements])\n",
                "# Inspect nodes and elements\n",
                "feb.inspect_nodes_and_elements()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "You can see that it had inscrease the number of nodes/elements. But this is not what we are looking for.\n",
                "Let's clean the feb data and add it again:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 14,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb40(4.0):\n",
                            "-> Module: solid\n",
                            "-> Control: 12\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Mesh: 0\n",
                            "-> MeshDomains: 0\n",
                            "-> MeshData: 0\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 0\n",
                            "-> Discrete: 0\n",
                            "-> Output: 1\n",
                            "-> LoadData: 0"
                        ]
                    },
                    "execution_count": 14,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "feb.clear_nodes()\n",
                "feb.clear_elements()\n",
                "feb"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 15,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "--> Nodes 'plane': 66\n",
                        "--> Elements 'plane_elements': 50\n",
                        "\n"
                    ]
                }
            ],
            "source": [
                "feb.add_nodes([nodes])\n",
                "feb.add_elements([elements])\n",
                "feb.inspect_nodes_and_elements()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Is there another method? We need triangle elements!! Also, What if we have multiple nodes or elements and we do not want to delete all of them and just update the existing ones? Let's create another mesh and update the 'plane' mesh in the feb file."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 16,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<PIL.Image.Image image mode=RGB size=800x400>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Create a simple mesh (plane mesh)\n",
                "mesh = pv.Plane(direction=(0,0,1), i_size=2, j_size=1, i_resolution=20, j_resolution=10)\n",
                "mesh = mesh.triangulate() # we will be using unstructured grid for FEBio\n",
                "mesh = mesh.cast_to_unstructured_grid() # we will be using unstructured grid for FEBio\n",
                "mesh.plot(show_edges=True, window_size=(800, 400), cpos='xy')"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 17,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "Number of nodes: 231\n",
                        "Number of elements: 400\n"
                    ]
                }
            ],
            "source": [
                "print(f\"Number of nodes: {mesh.points.shape[0]}\")\n",
                "print(f\"Number of elements: {mesh.cells_dict[pv.CellType.TRIANGLE].shape[0]}\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 18,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "--> Nodes 'plane': 231\n",
                        "--> Elements 'plane_elements': 400\n",
                        "\n"
                    ]
                }
            ],
            "source": [
                "# Create nodes\n",
                "nodes = Nodes(name=\"plane\", coordinates=mesh.points)\n",
                "# Create elements\n",
                "elements = Elements(name=\"plane_elements\",\n",
                "                    mat=\"1\",\n",
                "                    part=\"Part1\",\n",
                "                    type=\"TRIANGLE\",\n",
                "                    connectivity=mesh.cells_dict[pv.CellType.TRIANGLE.value],\n",
                "                    )\n",
                "# Add nodes and elements to the feb object (need to be lists)\n",
                "feb.update_nodes([nodes])\n",
                "feb.update_elements([elements])\n",
                "# Inspect nodes and elements\n",
                "feb.inspect_nodes_and_elements()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Adding Mesh Domains"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 19,
            "metadata": {},
            "outputs": [],
            "source": [
                "from febio_python.core import ShellDomain\n",
                "\n",
                "# create a shell domain\n",
                "shell = ShellDomain(\n",
                "    id=1,\n",
                "    name=\"plane_elements\", # this must match one of the element names\n",
                "    mat=\"plane material\", # this must match one of the material names\n",
                "    type=\"elastic-shell\", # type of shell element\n",
                "    shell_normal_nodal = 1, # normal to the shell\n",
                "    shell_thickness=0.01, # thickness of the shell\n",
                "    )\n",
                "feb.add_mesh_domains([shell])"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Adding Load"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Let's try adding a shear load to the mesh:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 20,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb40(4.0):\n",
                            "-> Module: solid\n",
                            "-> Control: 12\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Mesh: 3\n",
                            "--> Nodes: 231\n",
                            "--> Elements: 400\n",
                            "-> MeshDomains: 1\n",
                            "-> MeshData: 0\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 1\n",
                            "-> Discrete: 0\n",
                            "-> Output: 1\n",
                            "-> LoadData: 1"
                        ]
                    },
                    "execution_count": 20,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "import numpy as np\n",
                "from febio_python.core import NodalLoad, LoadCurve, NodeSet\n",
                "\n",
                "# First, let's select the nodeset to apply the load.\n",
                "# we will add load to the nodes at the right edge of the mesh\n",
                "x_values = mesh.points[:, 0]\n",
                "selected_nodes = np.where(x_values == x_values.max())[0]\n",
                "\n",
                "# Create a nodeset\n",
                "nodeset = NodeSet(name=\"right_edge\", ids=selected_nodes)\n",
                "# Create a nodal load\n",
                "shear_load = NodalLoad(node_set=\"right_edge\",\n",
                "                       dof=\"y\",\n",
                "                       scale=-25.0, # negative value means force is pointing in the negative direction\n",
                "                       load_curve=1,\n",
                "                       )\n",
                "# Create a load curve\n",
                "load_curve = LoadCurve(id=1, interpolate_type=\"smooth\", data=[(0, 0), (1, 1)])\n",
                "\n",
                "# Add nodeset, nodal load and load curve to the feb object\n",
                "feb.add_node_sets([nodeset])\n",
                "feb.add_nodal_loads([shear_load])\n",
                "feb.add_load_curves([load_curve])\n",
                "feb"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Let's try to add a non-linear load now. Pointing in the x-direction"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 21,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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L5Vi+fDm6du2KRo0aYciQIXB3d8etW7ewf/9+2NjYYNu2bQBKvj/Xrl0LW1tbNGzYEOHh4di7d6/28vaK9PXXX6Nr164IDAzE0KFDtZeC29raYtq0adr9ypvpww8/xNq1a/Hiiy9i/Pjx2kvBvby8cP78+QrPT0ZIsuu0iCTw4LLXRz0SEhKEEEKcOXNGhIaGCisrK2FhYSE6duwojh49Wuq58vPzxfvvvy9cXV2Fubm5CAoKEuHh4SI4OFgEBweX2vfGjRvi5ZdfFhYWFsLBwUGMHz9ee+n0ky4Ff3D8wIEDhaOjo1CpVMLX11eMHTu21GXDp0+fFgEBAUKpVIpatWqJb7/99pGXgnfv3v2xrxcUFCQAiGHDhj1yn6VLlwp/f39hbm4urK2tRZMmTcSHH34oEhMTH/vcj7scf8OGDeK5554TKpVK1KhRQ/Tv31/cvHmz1D6DBg0SlpaWj32N/5oxY4Zwd3cXcrm81PkAIMaOHfvQ/l5eXmLQoEGltiUnJ4uxY8cKT09PYWpqKlxcXESnTp3E0qVLH/va+/btEz179hRubm5CqVQKNzc38eabb4qrV69q93lwKfimTZtKHVvWZddCCHH27Fnx6quvipo1awqVSiW8vLxE7969xb59+7T73L17VwwZMkQ4ODgIKysrERoaKiIjIx/63MqzPEJ5Mu3du1cEBQUJc3NzYWNjI3r06CEuX75cap/yZhJCiPPnz4vg4GBhZmYm3N3dxYwZM8SKFSt4KTiVi0yI/4wREhERERkwzrkhIiIio8JyQ0REREaF5YaIiIiMCssNERERGRWWGyIiIjIqLDdERERkVKrdIn4ajQaJiYmwtrZ+5mXZiYiIqGoIIZCdnQ03N7cn3luu2pWbxMRE7b2BiIiIyLAkJCTAw8PjsftUu3JjbW0NoOTkPLhHEBEREem3rKwseHp6an+PP061KzcP3oqysbFhuSEiIjIw5ZlSwgnFREREZFRYboiIiMiosNwQERGRUWG5ISIiIqPCckNERERGheWGiIiIjArLDRERERkVlhsiIiIyKiw3REREZFRYboiIiMioSFpuDh48iB49esDNzQ0ymQybN29+4jFhYWFo0aIFVCoVateujdWrV1d6TiIiIjIckpabnJwcNGvWDIsWLSrX/rGxsejevTs6duyIiIgIvPfeexg2bBh2795dyUmJiIjIUEh648yuXbuia9eu5d5/8eLF8PHxwTfffAMAaNCgAQ4fPozvvvsOoaGhlRWTiAyEEAJ5RWpYKKvdPYGJ6F8Mas5NeHg4QkJCSm0LDQ1FeHj4I48pKChAVlZWqQcRGZ/bmXl4fXE4mn2+B8sOxkAIIXUkIpKIQZWbpKQkODs7l9rm7OyMrKws5OXllXnMrFmzYGtrq314enpWRVQiqkKHr6Wh+/zDOH3jLorUAl/uvILRP59BVn6R1NGISAIGVW6exieffILMzEztIyEhQepIRFRBNBqBhf9cw4CVx5GeU4hGbjaYFFoPpgoZdl1KQs+FRxCZxNFaourGoN6YdnFxQXJycqltycnJsLGxgbm5eZnHqFQqqFSqqohHRFUoM7cIEzZG4J/IFABAn5ae+LxnI5iZKhBU2wFjfj6N2LQc9Fp0BDNfaYJXW3hInJiIqopBjdwEBgZi3759pbb9/fffCAwMlCgREUnh4q1MdF9wCP9EpkBlIsec15riq9ebwsxUAQBo7mmH7ePaoV0dB+QXaTBx4zl89ucFFBSrJU5ORFVB0nJz7949REREICIiAkDJpd4RERGIj48HUPKW0sCBA7X7jxo1CjExMfjwww8RGRmJH374ARs3bsSECROkiE9EEthwMh6v/ngUN+/moVYNC/w+ug16P//wXLoalkqsHtIK4zvVgUwGrDsej96Lw3Hzbq4EqYmoKsmEhJcUhIWFoWPHjg9tHzRoEFavXo3BgwcjLi4OYWFhpY6ZMGECLl++DA8PD0yePBmDBw8u92tmZWXB1tYWmZmZsLGxqYDPgoiqQn6RGpM3X8Sm0zcBACENnPDNG81ha2H6xGP3R6VgwoYIZOQWwc7CFPP6NEeHek6VHZmIKpAuv78lLTdSYLkhMjw37uRg1M9ncOV2FuQy4P0u9TA62A9yuazcz5GQnouxv5zB+ZuZkMmA8Z3qYNwLdXR6DiKSji6/vw1qzg0RVT9/X07GSwsO48rtLNS0VOLnoQEY27G2zqXEs4YFNo0KRP+AWhACmLf3GoasPom7OYWVlJyIpMJyQ0R6qVitwVe7IjH8p1PIzi+Gv5c9doxrhza1HZ76OVUmCnz5ShN880YzmJnKceBqKl5acBjnEjIqLjgRSY7lhoj0Tmp2AQasOIEfw6IBAG8H+WD9iNZwsTWrkOd/zd8Dm8cGwbumBW5l5OGNxeH4+dgNrmpMZCRYbohIr5yKS8dLCw4hPOYOLJQKLOz3HKb0aAhTRcX+uKrvYoOt77ZFaCNnFKo1+N/mi3h/4znkFfJycSJDx3JDRHpBCIEVh2PRd+kxJGcVoLaTFba+E4SXmrpV2mvamJli8Vv++LRbfSjkMvxx9hZ6LTqCmNR7lfaaRFT5WG6ISHL3Corxzi9nMWP7ZRRrBHo0c8OWsUGo7WRd6a8tk8kwor0f1g0LgIOVClHJ2Xh54RHsuni70l+biCoHyw0RSepacjZeXngYOy7cholchmk9GmJ+3+awVFXt3WFa+9bEznFt0cq7Bu4VFGPUz2cwc+cVFKs1VZqDiJ4dyw0RSWZLxC30XHQEMak5cLExw4aRgRgc5AOZTJq1Z5xszLBueABGtPcFACw9GIN+y48jJStfkjxE9HRYboioyhUWazB1y0WMXx+B3EI1gmrXxI5xbeHvZS91NJgq5Pi0WwMsfqsFrFQmOBGbjm7zD+N4zB2poxFRObHcEFGVSszIQ5+l4VgTfgMA8E7H2vjp7QDUtFJJnKy0Fxu7Yus7QajnbI20ewXot/w4lh6M5uXiRAaA5YaIqszha2l4acFhnI3PgI2ZCVYObokPQutBoae3QPB1tMKfY9vglefcodYIzNwZidE/n0FWfpHU0YjoMVhuiKjSaTQCC/+5hgErjyM9pxCN3GywY1w7vFDfWepoT2ShNMG3vZvhi16NoVTIsetSEl6+fzsIItJPLDdEVKkycgsx7KdTmLvnKoQA+j7vid9Ht4FnDQupo5WbTCbDW629sGlUINztzBF3Jxev/HAEf5y5KXU0IioDyw0RVZoLNzPx0oLD+CcyBSoTOea83hSzX2sKM1OF1NGeSjNPO2x/ty3a13VEfpEGEzeew2d/XkBBMVc1JtInLDdEVOGEEFh/Ih6vLT6Km3fzUKuGBf4Y0wa9W3pKHe2Z2VsqsWrw83gvpA5kMmDd8Xi8sTgcN+/mSh2NiO5juSGiCpVXqMak387j4z8uoLBYg5AGztj2bls0crOVOlqFUchleC+kLlYNfh52FqY4f3+EKiwqRepoRASWGyKqQHFpOXj1x6P47fRNyGXARy/Wx9IB/rA1N5U6WqXoUM8J299ti2YetsjILcKQ1Sfx3d9XodbwcnEiKbHcEFGF2HMpCT0WllxF5GClxM/DAjC6gx/kenqZd0XxsLfAxlGBeKt1LQgBfL/vGoasPon0nEKpoxFVWyw3RPRMitUazP4rEiPWnkZ2fjH8veyx/d12aOPnIHW0KqMyUeCLXk3wbe9mMDOV4+DVVPRYcBgRCRlSRyOqllhuiOippWYX4K0Vx7H4QDQA4O0gH6wf0RoutmYSJ5PGqy08sHlsEHwcLHErIw9vLD6KtcducFVjoirGckNET+VUXDq6zz+EYzHpsFQqsLDfc5jSoyFMFdX7x0p9FxtseScILzZyQZFaYPLmi5i48RxyC4uljkZUbVTvn0JEpDMhBJYfikHfpceQkl2AOk5W2PJOW7zU1E3qaHrDxswUP77VAp91awCFXIY/z97CK4uOIib1ntTRiKoFlhsiKrd7BcUY+8sZfLHjCoo1Ai83c8PmsUGo7WQldTS9I5PJMLy9L34ZFgBHaxWikrPx8sIj+OvCbamjERk9lhsiKperydl4eeFh7LyQBFOFDJ+/3Ajf920OS5WJ1NH0WoBvTex4ty1a+dTAvYJijF53Bl/uuIwitUbqaERGi+WGiJ5oS8Qt9Fx4BDGpOXC1NcOGkYEY1MYbMplxX+ZdUZxszPDLsACMbO8LAFh2KBb9lx1HSla+xMmIjBPLDRE9UmGxBlO3XMT49RHIK1KjbW0HbH+3LVrUspc6msExUcjxSbcGWPxWC1ipTHAiLh3d5h/GsZg7UkcjMjosN0RUpsSMPPReEo414TcAAO++UBtr3m6FmlYqiZMZthcbu2LrO0Go72KNtHsF6L/8OJYciObl4kQViOWGiB5SrNZg0MoTiEjIgK25KVYObon3u9SDwshXG64qvo5W+HNMEF59zh1qjcCsvyLx64kEqWMRGQ2WGyJ6yB9nbuFayj3YW5hi+7tt8UJ9Z6kjGR1zpQLf9G6G90LqAADm7b2KvEK1xKmIjAPLDRGVUlCsxry9VwEAYzvWhmcNC4kTGS+ZTIYxHWrDw94cKdkF+Ck8TupIREaB5YaISll3LB6JmflwsTHDW629pI5j9JQmcrwXUhcA8OOBaGTlF0mciMjwsdwQkVZOQTEW7b8OABgfUgdmpgqJE1UPrzznjtpOVsjILcLygzFSxyEyeCw3RKS18nAs7uQUwrumBV7395A6TrWhkMvwQZeS0Zvlh2ORdq9A4kREho3lhogAABm5hVh6f9RgQue61f4GmFUttJELmnrYIrdQjR/2R0sdh8ig8acXEQEAFh+IQXZBMeq7WKMHb4JZ5WQyGSaF1gMA/HzsBm5l5EmciMhwsdwQEVKy8rH6aCwAYFJoPci5no0k2tZ2QGvfGihUazB/7zWp4xAZLJYbIsKCf64jv0gDfy97vFDfSeo41VbJ6E19AMCm0wmITr0ncSIiw8RyQ1TNxd/Jxa8n4gGUjNrwZpjS8veyR0gDJ2gE8O3fV6WOQ2SQWG6Iqrl5e6+iWCPQvq4jWvvWlDoOAXi/Sz3IZMCO87dx8Vam1HGIDA7LDVE1FpWUjT8jbgEAJnWpJ3EaeqCBqw1eblYyqXvuniiJ0xAZHpYbomrsmz1REALo1sQFTTxspY5D/zIhpC5M5DKERaXiRGy61HGIDArLDVE1dTb+LvZcToZcBkzsXFfqOPQf3g6W6P28JwDg692REEJInIjIcLDcEFVTD97ueK2FB2o7WUuchsoy7oU6UJnIcTLuLsKupkodh8hgsNwQVUNHrqfhyPU7UCrkGB9SR+o49AgutmYY1MYbAPD1rihoNBy9ISoPlhuiakYIgTm7S0Zt+gXUgoe9hcSJ6HFGB/vBSmWCy7ezsPPibanjEBkElhuiambP5WScS8iAhVKBsR1rSx2HnsDeUonh7XwBAN/uuYpitUbiRET6j+WGqBpRawS+uT/X5u0gHzhaqyROROUxtJ0PalgqEZOWg9/P3JQ6DpHeY7khqka2RNzC1eR7sDEzwfD2vlLHoXKyUplgTAc/AMC8vdeQX6SWOBGRfmO5IaomCos1+G5vyXL+ozr4wdbcVOJEpIu3WnvB1dYMtzPzse54vNRxiPQayw1RNbHhZDwS0vPgaK3C4PtX4JDhMDNVYHynkivbFu2/jnsFxRInItJfLDdE1UBeoRrz/7kOAHj3hdqwUJpInIiexuv+HvBxsER6TiFWHo6VOg6R3mK5IaoG1oTHITW7AB725uj7fC2p49BTMlHItatJLzsYg7s5hRInItJPLDdERi4zrwg/hkUDKLlfkdKE/+wNWfcmrmjoaoPsgmIsPhAtdRwivcSfckRGbvmhGGTmFaGOkxV6PecudRx6RnK5DJNCS+7gvvpoHJIy8yVORKR/WG6IjFhqdgFW3J+b8X6XelDIZRInoorQoZ4jnve2R0GxBgv+uSZ1HCK9w3JDZMR+CLuO3EI1mnnYIrSRs9RxqILIZDJMCq0PANhwMgE37uRInIhIv7DcEBmpm3dzse5YyXook0LrQybjqI0xaeVTA8F1HVGsEfju76tSxyHSKyw3REZq/r5rKFRr0MavJtrWcZA6DlWCB3NvtpxLRGRSlsRpiPQHyw2REbqecg+/nS65B9EH938BkvFp7G6L7k1cIQQwdzdHb4geYLkhMkLf/X0VGgF0buiMFrXspY5DlWhil7qQy4C9V5Jx+sZdqeMQ6QWWGyIjc/FWJnZcuA2ZDHi/S12p41Al83O0wuv+HgCAr3dHQgghcSIi6bHcEBmZr3dHAQB6NnNDfRcbidNQVRgfUhdKhRzHYtJx+Hqa1HGIJCd5uVm0aBG8vb1hZmaGgIAAnDhx4rH7z5s3D/Xq1YO5uTk8PT0xYcIE5OdzESsiADgecwcHrqbCRC7DhM4ctaku3O3M0b91yW01vt4dxdEbqvYkLTcbNmzAxIkTMXXqVJw5cwbNmjVDaGgoUlJSytz/l19+wccff4ypU6fiypUrWLFiBTZs2IBPP/20ipMT6R8hhHbUps/znvCqaSlxIqpKYzvWhoVSgfM3M7H7UpLUcYgkJWm5+fbbbzF8+HAMGTIEDRs2xOLFi2FhYYGVK1eWuf/Ro0cRFBSEfv36wdvbG126dMGbb775xNEeoupgf1QKTt24C5WJHOM61ZE6DlUxBysVhrb1AQDM3XMVag1Hb6j6kqzcFBYW4vTp0wgJCfn/MHI5QkJCEB4eXuYxbdq0wenTp7VlJiYmBjt37kS3bt0e+ToFBQXIysoq9SAyNhqNwNf3LwUe3MYbzjZmEiciKQxv7wtbc1NcT7mHzWdvSR2HSDKSlZu0tDSo1Wo4O5deEt7Z2RlJSWUPqfbr1w/Tp09H27ZtYWpqCj8/P3To0OGxb0vNmjULtra22oenp2eFfh5E+mD7hdu4cjsL1ioTjAr2kzoOScTGzBSjO5R8/b/bexWFxRqJExFJQ/IJxboICwvDzJkz8cMPP+DMmTP4448/sGPHDsyYMeORx3zyySfIzMzUPhISEqowMVHlK1Jr8O2ekrk2w9v7wt5SKXEiktKgQG84Watw824e1p+MlzoOkSQkKzcODg5QKBRITk4utT05ORkuLi5lHjN58mQMGDAAw4YNQ5MmTfDKK69g5syZmDVrFjSasv9CUalUsLGxKfUgMia/n76JuDu5qGmpxNv351xQ9WWuVODd+3Ou5u+7jtzCYokTEVU9ycqNUqmEv78/9u3bp92m0Wiwb98+BAYGlnlMbm4u5PLSkRUKBQDw0keqlvKL1Ph+3zUAwJiOtWGlMpE4EemDPi09UauGBdLuFWD10Tip4xBVOUnflpo4cSKWLVuGNWvW4MqVKxg9ejRycnIwZMgQAMDAgQPxySefaPfv0aMHfvzxR6xfvx6xsbH4+++/MXnyZPTo0UNbcoiqk5+P3cDtzHy42Zqhf0AtqeOQnlCayDGhc8nozeKwaGTmFkmciKhqSfpnXp8+fZCamoopU6YgKSkJzZs3x65du7STjOPj40uN1Pzvf/+DTCbD//73P9y6dQuOjo7o0aMHvvzyS6k+BSLJ3Csoxg9h0QCA8SF1YGbKgk//7+Vm7lgcFoOo5GwsPRSNSaH1pY5EVGVkopq9n5OVlQVbW1tkZmZy/g0ZtO/3XsN3e6/C18ESeya0h4nCoK4PoCqw51ISRqw9DXNTBQ582AFO1lwigAyXLr+/+dOQyACl5xRi2aEYACV3hWaxobJ0buiM5p52yCtS44f90VLHIaoy/IlIZIAWH4jGvYJiNHKzQbfGrlLHIT0lk8nwYWg9AMC64zeQkJ4rcSKiqsFyQ2RgkjLzseb+FTAfhNaDXC6TNhDptTa1HdC2tgOK1EJ7ZR2RsWO5ITIw8/+5hoJiDZ73tkeHuo5SxyED8MH90Zs/ztzEteRsidMQVT6WGyIDEpeWg40nS1bZnhRaHzIZR23oyZp72qFLQ2doBPDt31eljkNU6VhuiAzId3uvolgj0KGeI1r51JA6DhmQD0LrQSYD/rqYhPM3M6SOQ1SpWG6IDMSV21nYei4RAPBBl3oSpyFDU9fZGq80dwcAfL07SuI0RJWL5YbIQHyzJwpCAN2buqKxu63UccgATehcF6YKGQ5dS0N49B2p4xBVGpYbIgNw+kY69l5JgUIuw/ud60odhwyUZw0L9H2+5DYdX++O5D35yGix3BDpOSEE5uwqeRvh9RYe8HW0kjgRGbJ3X6gNM1M5zsRnYN+VFKnjEFUKlhsiPXf4ehqOx6ZDqZBjfEgdqeOQgXOyMcPgNj4AgLl7oqDRcPSGjA/LDZEeE0JoJ3++1doLbnbmEiciYzAq2BfWZiaITMrGtvOJUschqnAsN0R6bPelJJy/mQlLpQJjO/pJHYeMhJ2FEiPb+wIoWfemSK2ROBFRxWK5IdJTao3A3D0lC64NbeuDmlYqiRORMRkS5AMHKyVu3MnFxlMJUschqlAsN0R66s+zt3A95R7sLEwx7P5f2UQVxVJlgrEdawMA5u+7hvwitcSJiCoOyw2RHiooVuO7+8vkjw72g42ZqcSJyBj1C6gFdztzJGcV4KfwOKnjEFUYlhsiPbT+RAJuZeTByVqFgYHeUschI6UyUWivwPshLBrZ+UUSJyKqGCw3RHomt7AYC/65DgAY16kOzJUKiRORMXv1OXf4OVoiI7cIyw7FSh2HqEKw3BDpmVVH4pB2rwC1aligd0tPqeOQkTNRyPH+/XuVrTgUgzv3CiRORPTsWG6I9EhmbhGWHIgGAEzsXBdKE/4TpcrXtbELmrjbIqdQjR/DoqWOQ/TM+JOTSI8sORiNrPxi1HO2Ro9mblLHoWpCJpPhg9CS0Zufjt1AYkaexImIng3LDZGeSMnOx6ojcQCAD0LrQSGXSRuIqpX2dRwQ4FMDhcUaLPjnmtRxiJ4Jyw2Rnlj0z3XkFanxXC07hDRwkjoOVTMymQwfvlgyerPx1E3EpN6TOBHR02O5IdIDCem5+OVEPABgUmg9yGQctaGq5+9VA53qO0GtEfhuL0dvyHCx3BDpgXl7r6FILdC2tgPa+DlIHYeqsQdXTm07l4hLiZkSpyF6Oiw3RBK7lpyNP8/eBFAyakMkpYZuNtrJ7N/cv7cZkaFhuSGS2Dd7rkIjgNBGzmjmaSd1HCJM7FwXCrkM/0Sm4FRcutRxiHTGckMkoXMJGdh1KQkyGfBBF47akH7wcbBE75YeAIA5u6IghJA4EZFuWG6IJDR3TxQA4JXn3FHH2VriNET/b1ynOlCayHEiLh0HrqZKHYdIJyw3RBI5Gp2GQ9fSYKqQYUJIXanjEJXiamuOga29AABf746CRsPRGzIcLDdEEhBC4OvdJaM2b7aqBc8aFhInInrYmI61YalU4FJiFv66mCR1HKJyY7khksC+Kyk4G58BM1M53ulYW+o4RGWqYanEsHa+AIBv/o5CsVojcSKi8mG5IapiGo3QzrUZEuQDJxsziRMRPdqwdj6wtzBFTGoO/jhzS+o4ROXCckNUxbadT0RkUjaszUwwqr2f1HGIHsvazBRjOpSMLs7bexUFxWqJExE9GcsNURUqUmvw7d8lC6ONCvaDrYWpxImInmxAoBdcbMyQmJmPdcfipY5D9EQsN0RVaOOpBNy4kwsHKyUGt/GWOg5RuZiZKjCuUx0AwKL915FTUCxxIqLHY7khqiL5RWrM31dyM8J3OtaGpcpE4kRE5fdGSw9417TAnZxCrDwcK3UcosdiuSGqIj+FxyE5qwDuduZ4M6CW1HGIdGKqkGNC55L1mJYejEFGbqHEiYgejeWGqApk5Rfhh7BoAMB7IXWgMlFInIhIdz2auqG+izWyC4rx44FoqeMQPRLLDVEVWH4oFhm5RfBztMQrz7lLHYfoqcjlMu2d69ccjUNyVr7EiYjKxnJDVMky84q0cxQ+6FIPJgr+syPD9UJ9J/h72SO/SIMfwzh6Q/qJP2WJKtnPx27gXkEx6jlb48XGLlLHIXomMpkM74WUXDm14WQC7uZw7g3pH5YbokqUX6TGqiMlozajOvhCJpNJnIjo2bWt7YBGbjbIK1JjTXic1HGIHsJyQ1SJNp2+ibR7hXC3M8dLTd2kjkNUIWQyGUZ3KFlde/XROOQWct0b0i8sN0SVpFitwbKDMQCA4e18YMq5NmREujZ2hVdNC2TkFmHDyQSp4xCVwp+2RJVk58UkxKfnooalEn2e57o2ZFwUchlGtC+5Y/iygzEo4h3DSY+w3BBVAiGE9kqSQYHeMFdyXRsyPq+18ICDlQqJmfnYGpEodRwiLZYbokpw8FoartzOgoVSgYGBXlLHIaoUZqYKvN3WGwCw5GA0NBohbSCi+1huiCrBj2HXAQBvtqoFe0ulxGmIKk//AC9YqUxwNfke/olMkToOEQCWG6IKdzb+Lo7FpMNELsPQtj5SxyGqVLbmpujfumRO2WLekoH0BMsNUQV78AO+13PucLMzlzgNUeUbGuQDpUKOUzfu4mRcutRxiJ6t3OTn874iRP92PeUe9lxOBgCMCvaVOA1R1XCyMcNr/iX3TFvMWzKQHtC53Gg0GsyYMQPu7u6wsrJCTEzJOh6TJ0/GihUrKjwgkSFZejAaQgCdGzqjtpO11HGIqsyI9n6QyYB9kSmISsqWOg5VczqXmy+++AKrV6/GnDlzoFT+/0TJxo0bY/ny5RUajsiQJGXm48+ztwAAo4L9JE5DVLV8HCzR9f6905Zw7g1JTOdy89NPP2Hp0qXo378/FIr/X7ujWbNmiIyMrNBwRIZkxeEYFKkFWvnUgL+XvdRxiKrcg1K/5Vwibt7NlTgNVWc6l5tbt26hdu3aD23XaDQoKiqqkFBEhiYztwi/HI8HAO09d4iqm6YedgiqXRNqjcDyQ7FSx6FqTOdy07BhQxw6dOih7b/99huee+65CglFZGjWHotDTqEa9V2s0aGuo9RxiCQzOrjkj9/1J+ORnlMocRqqrkx0PWDKlCkYNGgQbt26BY1Ggz/++ANRUVH46aefsH379srISKTX8ovUWHUkDkDJqI1MJpM2EJGEgmrXRGN3G1y8lYXVR+MwsXNdqSNRNaTzyE3Pnj2xbds27N27F5aWlpgyZQquXLmCbdu2oXPnzpWRkUivbTqVgDs5hfCwN0f3Jq5SxyGSlEwm047e/BQeh5yCYokTUXWk88gNALRr1w5///13RWchMjjFag2WHCxZDmFEe1+YKLguJtGLjV3gXdMCcXdysf5kAlfqpiqn80/iYcOGISwsrBKiEBmeHRdu4+bdPNSwVOINf0+p4xDpBYVchhHtSybWrzgUg8JijcSJqLrRudykpqbixRdfhKenJyZNmoSIiIhKiEWk/4QQ+PH+aqxD2njDXKl4whFE1cerLdzhaK1CYmY+tp5LlDoOVTM6l5stW7bg9u3bmDx5Mk6ePAl/f380atQIM2fORFxcnM4BFi1aBG9vb5iZmSEgIAAnTpx47P4ZGRkYO3YsXF1doVKpULduXezcuVPn1yV6VmFXUxGZlA0LpQIDAr2kjkOkV8xMFXg7qOTtqMUHoqHRCIkTUXXyVBME7O3tMWLECISFheHGjRsYPHgw1q5dW+b6N4+zYcMGTJw4EVOnTsWZM2fQrFkzhIaGIiUlpcz9CwsL0blzZ8TFxeG3335DVFQUli1bBnd396f5NIieyYN76PRrVQt2Fson7E1U/fRvXQvWKhNcT7mHfZFl/1wnqgzPNPuxqKgIp06dwvHjxxEXFwdnZ2edjv/2228xfPhwDBkyBA0bNsTixYthYWGBlStXlrn/ypUrkZ6ejs2bNyMoKAje3t4IDg5Gs2bNnuXTINLZmfi7OB6bDlOFDEPbcbIkUVlszEzRv3XJqOaPYdchBEdvqGo8VbnZv38/hg8fDmdnZwwePBg2NjbYvn07bt68We7nKCwsxOnTpxESEvL/YeRyhISEIDw8vMxjtm7disDAQIwdOxbOzs5o3LgxZs6cCbVa/cjXKSgoQFZWVqkH0bN6MGrTq7k7XG3NJU5DpL/eDvKG0kSOM/EZOBl3V+o4VE3oXG7c3d3RrVs3pKWlYenSpUhOTsbKlSvRqVMnnRYvS0tLg1qtfmi0x9nZGUlJSWUeExMTg99++w1qtRo7d+7E5MmT8c033+CLL7545OvMmjULtra22oenJ69ooWdzPSUbey4nQyYDRgb7Sh2HSK852ZjhtRYeAEpGb4iqgs7lZtq0abh9+zb+/PNPvP7661CpVJWRq0wajQZOTk5YunQp/P390adPH3z22WdYvHjxI4/55JNPkJmZqX0kJCRUWV4yTksOlKxr07mBM2o7WUuchkj/jWzvC7kM2B+Viiu3OXpOlU+nclNUVITRo0fr9PbTozg4OEChUCA5ObnU9uTkZLi4uJR5jKurK+rWrVvqbuQNGjRAUlISCgvLvoeJSqWCjY1NqQfR07qdmYfNEbcAAKN4g0yicvF2sETX+6t3LzkQLXEaqg50KjempqaoVavWY+e4lJdSqYS/vz/27dun3abRaLBv3z4EBgaWeUxQUBCuX78Ojeb/F4S6evUqXF1doVTyahWqfCsOxaJILRDgUwMtatlLHYfIYIwOLvljYNv520hIz5U4DRk7nd+W+uyzz/Dpp58iPT39mV984sSJWLZsGdasWYMrV65g9OjRyMnJwZAhQwAAAwcOxCeffKLdf/To0UhPT8f48eNx9epV7NixAzNnzsTYsWOfOQvRk2TkFuKXE/EASm6QSUTl19jdFu3qOECtEVh+KEbqOGTkdL631MKFC3H9+nW4ubnBy8sLlpaWpT5+5syZcj9Xnz59kJqaiilTpiApKQnNmzfHrl27tJOM4+PjIZf/f//y9PTE7t27MWHCBDRt2hTu7u4YP348PvroI10/DSKd/RR+A7mFajRwtUFwXUep4xAZnFHBfjh0LQ0bTiVgXKc6qGlVdXM2qXrRudz06tWrQgO88847eOedd8r8WFn3sAoMDMSxY8cqNAPRk+QVqrH6aBwAYFSwr05XBhJRiTZ+NdHUwxbnb2ZizdE4TOxST+pIZKR0LjdTp06tjBxEem3jqQSk5xTCs4Y5ut+fGElEupHJZBgV7Icx685gTfgNjAz2g6VK519DRE/0TCsUE1UHRWoNlh4smSMwop0vTBT8Z0P0tEIbucDHwRKZeUX49f4cNqKKpvNPablcDoVC8cgHkbHZcf42bmXkoaalEm+05CKQRM9CIZdhZPuSxS+XH4pFYbHmCUcQ6U7n8cA///yz1P8XFRXh7NmzWLNmDT7//PMKC0akD4QQWHx/XY4hQd4wM2WBJ3pWr7Rwx7d/X0VSVj62RNziHw1U4XQuNz179nxo2+uvv45GjRphw4YNGDp0aIUEI9IHYVGpiEzKhqVSgQGtvaWOQ2QUVCYKDG3rg1l/RWLxgWi81sIDcjkn6VPFqbDJA61bty61IB+RMfjx/qhN/9ZesLUwlTgNkfHoF1AL1mYmiE7Nwd4ryU8+gEgHFVJu8vLyMH/+fLi7u1fE0xHphdM30nEiNh2mChneDvKROg6RUbE2M8WA1l4AgB/CoiGEkDgRGROd35ayt7cvtcaHEALZ2dmwsLDAzz//XKHhiKT0Y1jJFVKvPucBF1szidMQGZ8hQT5YfjgWEQkZOB6bjta+NaWOREZC53Lz3XfflSo3crkcjo6OCAgIgL0977VDxuFacjb2XkmGTAaMCPaVOg6RUXK0VuENfw+sOx6PxQeiWW6owuhcbgYPHlwJMYj0y+IDJaM2oQ1d4OdoJXEaIuM1or0vfj0Rj7CoVFxOzEJDNxupI5ER0HnOzapVq7Bp06aHtm/atAlr1qypkFBEUkrMyMOWiFsAgFG8QSZRpfKqaYlu91f9XnIwWuI0ZCx0LjezZs2Cg4PDQ9udnJwwc+bMCglFJKXlh2JRrBEI9K2J5p52UschMnqjgkv+iNh2LhEJ6bkSpyFjoHO5iY+Ph4/Pw1eOeHl5IT6eS2mTYbubU4j1J0u+j0dz1IaoSjR2t0W7Og7QCGDZoRip45AR0LncODk54fz58w9tP3fuHGrW5GQwMmw/hd9AbqEajdxs0K7OwyOURFQ5HvwxseFkAtLuFUichgydzuXmzTffxLhx47B//36o1Wqo1Wr8888/GD9+PPr27VsZGYmqRG5hMVYfjQVQMkz+76sCiahyBfrWRDMPWxQUa7D6SJzUccjA6VxuZsyYgYCAAHTq1Anm5uYwNzdHly5d8MILL3DODRm0jScTcDe3CLVqWKBrYxep4xBVKzKZTDt681N4HO4VFEuciAyZzpeCK5VKbNiwAV988QUiIiJgbm6OJk2awMvLqzLyEVWJIrUGyw6VjNqMaO8LE0WF3ZmEiMqpc0MX+DpYIiYtB78ej8fw9lxjip6OzuXmgTp16qBOnToVmYVIMtvPJ+JWRh4crJR43d9D6jhE1ZJCLsPIYF989PsFLD8cg4FtvKAyUUgdiwwQ/zylak8IgcX3b7UwJMgHZqb8YUoklV7PucPZRoXkrAJsOZsodRwyUCw3VO3tj0pBVHI2rFQmeKs1314lkpLKRIGhbUuWG1l8MBoaDW+oSbpjuaFq78ewklVR+wfUgq25qcRpiOjNVrVgY2aCmNQc7LmcLHUcMkAsN1StnYpLx8m4u1Aq5Hi77cOLUxJR1bM2M8WAwJJR1B8PREMIjt6Qbso1obisRfsepWnTpk8dhqiqLT5QMmrzagt3ONuYSZyGiB4Y3MYHyw/F4lxCBo7FpCPQj4vEUvmVq9w0b94cMpkMQognLmymVqsrJBhRZYtKysbeKymQyUou/yYi/eForcIbLT3w87F4/HggmuWGdFKut6ViY2MRExOD2NhY/P777/Dx8cEPP/yAs2fP4uzZs/jhhx/g5+eH33//vbLzElWYB3cgfrGRC3wdrSROQ0T/NaKdH+Qy4ODVVFxKzJQ6DhmQco3c/HuBvjfeeAPz589Ht27dtNuaNm0KT09PTJ48Gb169arwkEQV7VZGHrZGlFxm+uCOxESkX2rVtED3pm7Ydi4Riw/EYMGbz0kdiQyEzhOKL1y4UOZdwX18fHD58uUKCUVU2ZYfikGxRqCNX00087STOg4RPcKo4JK3jHecT0T8nVyJ05Ch0LncNGjQALNmzUJhYaF2W2FhIWbNmoUGDRpUaDiiynA3pxDrTyQA+P87ERORfmrkZov2dR2hEcDSQ9FSxyEDofPtFxYvXowePXrAw8NDe2XU+fPnIZPJsG3btgoPSFTR1oTHIa9IjcbuNmhb20HqOET0BKOD/XDwaio2nbqJ8Z3qwtFaJXUk0nM6l5tWrVohJiYG69atQ2RkJACgT58+6NevHywtLSs8IFFFyi0sxuqjcQBK5to86eo/IpJea98aaO5ph4iEDKw+GotJofWljkR67qlunGlpaYkRI0ZUdBaiSrf+RAIycovgVdMCXRu7Sh2HiMpBJpNhVLAfRv18Gj+F38CoYD9Ym3E1cXq0p74r+OXLlxEfH19q7g0AvPzyy88ciqgyFKk1WH6o5AaZI9r7QiHnqA2RoejS0Bm+jpaISc3BryfiMaI958vRo+lcbmJiYvDKK6/gwoUL2oX9AGiH97mIH+mrrRGJSMzMh4OVCq+18JA6DhHpQC6XYVR7P3z4+3ksPxSLQW28oTJRSB2L9JTOV0uNHz8ePj4+SElJgYWFBS5duoSDBw+iZcuWCAsLq4SIRM9OoxHaRfvebusNM1P+UCQyND2fc4OLjRlSsguw+ewtqeOQHtO53ISHh2P69OlwcHCAXC6HXC5H27ZtMWvWLIwbN64yMhI9s38iU3A1+R6sVSZ4q7XXkw8gIr2jMlFg6P0b3C45EAO1hjfUpLLpXG7UajWsra0BAA4ODkhMLFnl1cvLC1FRURWbjqiCPLhBZv/WXrDhREQig/VmQC3YmJkgJi0Hf19OkjoO6Smdy03jxo1x7tw5AEBAQADmzJmDI0eOYPr06fD15c0HSf+cjEvHqRt3oVTI8XaQt9RxiOgZWKlMMDDQGwDwY1i0dt4n0b/pXG7+97//QaPRAACmT5+O2NhYtGvXDjt37sT8+fMrPCDRs1ocVjJq85q/B5xszCROQ0TPanCQN1Qmcpy7mYnwmDtSxyE9pPPVUqGhodr/rl27NiIjI5Geng57e3suiEZ6JzIpC/siUyCTlVz+TUSGz8FKhT7Pe+Kn8Bv4MSwabfy40jiVpvPIzb/dvHkTN2/eRI0aNVhsSC8tOVCyrk23xq7wceAK2kTGYni7krWqDl1Lw8VbmVLHIT2jc7nRaDSYPn06bG1t4eXlBS8vL9jZ2WHGjBnat6uI9MHNu7nYeq5kwvuoYC74RWRMPGtY4KWmJauMP7hggOgBnd+W+uyzz7BixQrMnj0bQUFBAIDDhw9j2rRpyM/Px5dfflnhIYmexvJDsVBrBNrWdkATD1up4xBRBRvZ3g9bIhKx88Jt3LiTA6+aHJ2lEjqP3KxZswbLly/H6NGj0bRpUzRt2hRjxozBsmXLsHr16kqISKS79JxCrD8ZDwAY3YGjNkTGqKGbDTrUc4RGAEsPxkgdh/SIzuUmPT0d9es/fEfW+vXrIz09vUJCET2r1UfjkF+kQRN3W7Txqyl1HCKqJA/ect50+iZSsvMlTkP6Qudy06xZMyxcuPCh7QsXLkSzZs0qJBTRs8gpKMZP4XEASkZtONmdyHgF+NTAc7XsUFisweojcVLHIT2h85ybOXPmoHv37ti7dy8CAwMBlNySISEhATt37qzwgES6Wn8yARm5RfBxsERoIxep4xBRJZLJZBgV7IeRa09j7bEbGN3BD9Zchbza03nkJjg4GFevXsUrr7yCjIwMZGRk4NVXX0VUVBTatWtXGRmJyq2wWIMVh0reex/RvuRSUSIybp0bOMPP0RLZ+cX45Xi81HFID+g8cgMAbm5uD10VdfPmTYwYMQJLly6tkGBET2PruUQkZubD0VqFV55zlzoOEVUBubxk9GbSb+ex/HAsBrXxhpmpQupYJKFnWsTv3+7cuYMVK1ZU1NMR6UyjEdr1Loa29eEPN6JqpGdzd7jamiE1uwB/nr0ldRySWIWVGyKp7YtMwfWUe7A2M0H/gFpSxyGiKqQ0kWNoWx8AJZeFqzW8oWZ1xnJDRkEIgR/DrgMA3mrtxQmFRNXQm61qwdbcFLFpOdh9KUnqOCQhlhsyCifj7uJMfAaUJnIMCfKWOg4RScBSZYJBgV4ASm7JIARHb6qrck8ofvXVVx/78YyMjGfNQvTUHozavO7vASdrM4nTEJFUBrXxxtJDMTh/MxNHo+8gqDbvGF4dlbvc2No+/t48tra2GDhw4DMHItLVldtZ2B+VCrkMGNHOV+o4RCShmlYq9GnpiTXhN7D4QDTLTTVV7nKzatWqysxB9NSW3L9CqmsTV3g78MZ5RNXdsHa++Pl4PA5dS8OFm5m8cW41xDk3ZNAS0nOx7fxtAMDoYN4gk4gAzxoW6NHUFQC0y0NQ9cJyQwZt+aGSSz7b1XFAY3f+dUZEJUZ1KPlj56+LtxGbliNxGqpqLDdksO7cK8CGUwkAOGpDRKXVd7FBx3qO0IiSdW+oemG5IYO15mgc8os0aOZhi0C/mlLHISI9M7pDbQDA76dvIiUrX+I0VJVYbsgg5RQUY034DQDAqGA/yGS8QSYRlfa8tz1a1LJDoVqDlUfipI5DVYjlhgzSryfikZlXBF8HS3Rp5CJ1HCLSQzKZTDt6s+7YDWTlF0mciKoKyw0ZnMJiDZYfigUAjGjvC4WcozZEVLZO9Z1Qx8kK2QXFWHcsXuo4VEX0otwsWrQI3t7eMDMzQ0BAAE6cOFGu49avXw+ZTIZevXpVbkDSK1sibiEpKx9O1iq80sJd6jhEpMfkchlG3r/gYOWRWOQXqSVORFVB8nKzYcMGTJw4EVOnTsWZM2fQrFkzhIaGIiUl5bHHxcXF4YMPPkC7du2qKCnpg2K1RrtuxdC2PlCZKCRORET67uVmbnC1NUNqdgE2nb4pdRyqApKXm2+//RbDhw/HkCFD0LBhQyxevBgWFhZYuXLlI49Rq9Xo378/Pv/8c/j6crn96uTnYzcQnZoDW3NT9AuoJXUcIjIAShM5RrQv+V0x7++ryMzl3BtjJ2m5KSwsxOnTpxESEqLdJpfLERISgvDw8EceN336dDg5OWHo0KFVEZP0RGp2Ab7ZcxUAMCm0HqzNTCVORESGon+AF2o7WeFOTiHm7omSOg5VMknLTVpaGtRqNZydnUttd3Z2RlJSUpnHHD58GCtWrMCyZcvK9RoFBQXIysoq9SDDNOuvK8guKEYTd1u82YqjNkRUfkoTOaa/3AgA8PPxG7hwM1PiRFSZJH9bShfZ2dkYMGAAli1bBgeH8t3pddasWbC1tdU+PD09KzklVYYTsen448wtyGTAjF6NeYUUEemsTW0H9GjmBiGAyVsuQqMRUkeiSiJpuXFwcIBCoUBycnKp7cnJyXBxeXjtkujoaMTFxaFHjx4wMTGBiYkJfvrpJ2zduhUmJiaIjn74BmmffPIJMjMztY+EhIRK+3yochSrNZiy5SIAoO/ztdDc007aQERksP7XvQEslQpEJGRg02n+PjBWkpYbpVIJf39/7Nu3T7tNo9Fg3759CAwMfGj/+vXr48KFC4iIiNA+Xn75ZXTs2BERERFljsqoVCrY2NiUepBh+Sn8BiKTsmFnYYoPQ+tJHYeIDJizjRkmdK4LAJj9VyQycgslTkSVwUTqABMnTsSgQYPQsmVLtGrVCvPmzUNOTg6GDBkCABg4cCDc3d0xa9YsmJmZoXHjxqWOt7OzA4CHtpNxSMnKx3d/l0wi/ujF+rC3VEqciIgM3aA23th4KgFXk+/h691R+PKVJlJHogomebnp06cPUlNTMWXKFCQlJaF58+bYtWuXdpJxfHw85HKDmhpEFWjWX5HILihGM0879GnJ+VJE9OxMFXJM79kYfZcewy8n4tHneU809bCTOhZVIJkQolrNqMrKyoKtrS0yMzP5FpWeOx5zB32WHoNMBmwZG8QfPkRUod5bfxabIxLRzMMWf44JgpwXKug1XX5/c0iE9FKRWoMpWy4BAPq1qsViQ0QV7tNuDWClMsG5m5nYcIqTi40Jyw3ppTVH4xCVnA17C1NM4iRiIqoETv+aXPzVrkjczeHkYmPBckN6JzkrH/P2XgMAfNy1PuwsOImYiCrHoEAv1HexRkZuEebs5srFxoLlhvTOlzuu4F5BMZp72uENf04iJqLKY3J/cjEArD8Zj4iEDGkDUYVguSG9cjQ6DVvPJUImA77o1ZgT/Iio0rXyqYFXn3OHEMCULReh5srFBo/lhvTGvycRvxXghcbuthInIqLq4uNu9WGtMsH5m5n49US81HHoGbHckN5YdSQW11PuoaalEh904SRiIqo6TtZmmNilZHLx17ujcOdegcSJ6Fmw3JBeuJ2ZV2oSsa2FqcSJiKi6GdDaCw1cbZCZV4Q5uzi52JCx3JBe+HLHFeQWquHvZY/XWnhIHYeIqiEThRwzejYCAGw4lYAz8XclTkRPi+WGJHfkehq2n78NuQyY3rMRJxETkWRaetfA6/4lf2BN3szJxYaK5YYkVViswZQtFwEAAwO90ciNk4iJSFofd60PazMTXErMwi/Hb0gdh54Cyw1JauWRWESn5sDBSqldKZSISEoOVirtyuhf745CGicXGxyWG5JMYkYe5u8rmUT8SdcGsDXnJGIi0g/9A7zQyM0GWfnF+OqvSKnjkI5YbkgyDyYRP+9tj1dbuEsdh4hISyGXaVcu3nT6Jk7fSJc4EemC5YYkcehaKnZcuK39ASKTcRIxEekXfy979G75YHLxJRSrNRInovJiuaEqV1CsxtT7KxEPDCxZV4KISB999GJ92JiZ4PLtLKw7zpWLDQXLDVW55YdiEZOWAwcrFScRE5Feq2mlwqQX6wMA5u6JQmo2JxcbApYbqlK3MvKw4J+SScSfda8PGzNOIiYi/davVS00cbdFdn4xZnNysUFguaEqNWPbZeQXadDKpwZ6NeckYiLSfwq5DDN6NYZMBvx+5iZOxnFysb5juaEqExaVgl2Xkkp+UHASMREZkOaeduj7vCeAkpWLOblYv7HcUJUoKFZj2taSScRD2nijnou1xImIiHQzKbQ+7CxMEZmUjZ/CuXKxPmO5oSqx7GAM4u7kwslahfEhdaSOQ0SksxqWSnwYWjK5+Lu/ryIlK1/iRPQoLDdU6RLSc7Fw/3UAwGfdG8Cak4iJyED1ed4TzTxskV1QjFmcXKy3WG6o0s3YXjKJuLVvDbzczE3qOERET+3/Fx4F/jx7C8dj7kgdicrAckOVan9kCvZcToYJVyImIiPRzNMOb7aqBQCYsuUSiji5WO+w3FClyS9SY9q2kknEb7f1QV1nTiImIuMwqUs92FuYIio5G2uOxkkdh/6D5YYqzdKDMbhxJxfONiqM68RJxERkPOwtlfjo/srF8/ZeQzInF+sVlhuqFAnpuVh0fxLx/7o3hJXKROJEREQVq3dLTzTztMO9gmLM3HlF6jj0Lyw3VCk+33YJBcUatPGriZeaukodh4iowsnlMnxxf3LxlohEhEdzcrG+YLmhCrf3cjL2XkmBqYKTiInIuDXxsMVbAV4AgClbLnJysZ5guaEKlV+kxufbSyYRD23ri9pOVhInIiKqXB90qYcalkpcS7mH1UfipI5DYLmhCvZjWDQS0vPgamuGd1+oLXUcIqJKZ2thio+7PphcfBVJmZxcLDWWG6owN+7k4McD0QCAyS81hCUnERNRNfF6Cw+0qGWHnEI1vuTkYsmx3FCFEEJg2tZLKCzWoF0dB3Rt7CJ1JCKiKiO/v1CpXAZsO5eII9fTpI5UrbHcUIXYeyUF+6NSYaqQYdrLjTiJmIiqncbuthjQ+v8nFxcWc3KxVFhu6JnlFaoxbWvJJOLh7Xzh58hJxERUPU3sUg81LZWITs3ByiOxUseptlhu6Jn9GHYdtzLy4GZrhnc4iZiIqjFbc1N80q0BAGD+vmtIzMiTOFH1xHJDzyQuLQeLD8QAAKb0aAgLJScRE1H19upz7mjpZY/cQjW+3MHJxVJguaGnJoTA1K2XUKjWoH1dR4Q24iRiIqJ/Ty7eceE2Dl1LlTpStcNyQ09t96VkHLiaCqVCjs85iZiISKuhmw0GBnoDAKZuuYSCYrW0gaoZlht6KrmFxZix/TIAYGSwL3wcLCVORESkXyZ2qQsHKxVi0nKw4jAnF1cllht6Kov2l0widrczx5gOnERMRPRfNmam+Kx7ycrFC/aV/MykqsFyQzqLSb2HpQdLJhFP7dEQ5kqFxImIiPRTr+buaOVdA3lFanxxf7SbKh/LDenkwSTiIrVAx3qO6NzQWepIRER6SyaTYXqvRlDIZfjrYhIOXOXk4qrAckM62XUxCYeupUFpIudKxERE5VDfxQaD23gDAKZt5eTiqsByQ+WWW1iM6feHVUcF+8GrJicRExGVx3shdeBorUJsWg6WH+Lk4srGckPltuCf67idmQ8Pe3OM6eAndRwiIoNhbWaK/3UvWbl4wT/XcPNursSJjBvLDZXL9ZR7WH6oZBLxtB6NYGbKScRERLp4uZkbAnxqIL9Ig+nbOLm4MrHc0BMJITDt/iTiTvWdEMJJxEREOpPJZJjRqzEUchn2XE7G/sgUqSMZLZYbeqKdF5Jw+HrJJOKpPRpJHYeIyGDVdbbG20HeAIBp2y4hv4iTiysDyw091r2C/1+JeEwHP9SqaSFxIiIiwzY+pC6cbVS4cSdXu2YYVSyWG3qsBfuuISkrH7VqWGBUMCcRExE9KyuVCT7r3hBAyWrvCemcXFzRWG7oka4lZ2vvhzLt5YacRExEVEF6NHVFG7+aKCjW4HNOLq5wLDdUJiEEpmy5hGKNQOeGznihPicRExFVFJlMhuk9G8FELsPeK8nYdyVZ6khGheWGyrTt/G2Ex9yBykSOKS81lDoOEZHRqe1kjaHtfABwcnFFY7mhh9wrKNbe4O2djrXhWYOTiImIKsO4F+rAxcYMCel5WHwgWuo4RoPlhh7y/d6rSMkugHdNCwxv7yt1HCIio2WpMsHk+6PjP4RFI/4OJxdXBJYbKiUqKRsrj8QBAKa9zJWIiYgqW7cmLmhb2wGFxRp8vu2S1HGMAssNaZVMIr4ItUYgtJEzOtRzkjoSEZHRk8lkmPZyI5gqZNgXmYK9lzm5+Fmx3JDW1nOJOB6bDjNTuXaYlIiIKl9tJysMa1cyDYCTi58dyw0BALLzi/DFjisAgHdfqAMPe04iJiKqSu++UBtutma4eTcPP4RxcvGzYLkhAMC8vdeQml0AHwdLDLt/aSIREVUdC+X/Ty5efCAacWk5EicyXHpRbhYtWgRvb2+YmZkhICAAJ06ceOS+y5YtQ7t27WBvbw97e3uEhIQ8dn96ssikLKw+GgcA+PzlRlCZcBIxEZEUXmzsgnZ1SiYXT9t2CUIIqSMZJMnLzYYNGzBx4kRMnToVZ86cQbNmzRAaGoqUlLJvBR8WFoY333wT+/fvR3h4ODw9PdGlSxfcunWripMbByEEJm8umUTcrYkL2td1lDoSEVG1VbJycWMoFXKERaViDycXPxWZkLgWBgQE4Pnnn8fChQsBABqNBp6ennj33Xfx8ccfP/F4tVoNe3t7LFy4EAMHDnzi/llZWbC1tUVmZiZsbGyeOb+h++PMTUzceA7mpgrsez8YbnbmUkciIqr25u6OwsL91+FuZ469E4NhruSIui6/vyUduSksLMTp06cREhKi3SaXyxESEoLw8PByPUdubi6KiopQo0aNyopptBLSczFzZ8kk4nGd6rDYEBHpibEda8Pdzhy3MvLwxY7LfHtKR5KWm7S0NKjVajg7l74po7OzM5KSksr1HB999BHc3NxKFaR/KygoQFZWVqkHAbFpOei9JBxp9wpRz9kaQ9tyEjERkb4wVyrw+cuNAADrjsdj6tZL0GhYcMpL8jk3z2L27NlYv349/vzzT5iZmZW5z6xZs2Bra6t9eHp6VnFK/XM9JRu9l4TjdmY+ajtZYe3QVlCaGPS3AhGR0Qlp6IzZrzaBTAb8FH4Dn/55gQWnnCT9jebg4ACFQoHk5NITppKTk+Hi4vLYY+fOnYvZs2djz549aNq06SP3++STT5CZmal9JCQkVEh2QxWZlIU+S44hNbsA9V2ssX5EazjZlF0MiYhIWn1b1cLc15tBLgPWn0zApN/OQ82C80SSlhulUgl/f3/s27dPu02j0WDfvn0IDAx85HFz5szBjBkzsGvXLrRs2fKxr6FSqWBjY1PqUV1dvJWJN5cew52cQjRys8Gvw1vDwUoldSwiInqM1/w9MK/vc1DIZfj9zE28tyECRWqN1LH0monUASZOnIhBgwahZcuWaNWqFebNm4ecnBwMGTIEADBw4EC4u7tj1qxZAICvvvoKU6ZMwS+//AJvb2/t3BwrKytYWVlJ9nnou4iEDAxccRxZ+cVo5mmHn4a0gq2FqdSxiIioHF5u5galQoZ3fz2LbecSUVSswfw3n+OUgkeQ/Kz06dMHc+fOxZQpU9C8eXNERERg165d2knG8fHxuH37tnb/H3/8EYWFhXj99dfh6uqqfcydO1eqT0HvnYpLx1vLS4pNSy97/DyUxYaIyNC82NgVi9/yh1Ihx65LSRiz7jQKinkPqrJIvs5NVatu69yER9/B0DUnkVuoRmvfGlgx6HlYqiQfsCMioqd04GoqRvx0CgXFGrSv64ilA/xhZmr86+AYzDo3VLkOX0vDkNUnkFuoRrs6Dlg1uBWLDRGRgQuu64hVg5+HuakCB6+m4u3VJ5FbWCx1LL3CcmOk9kem4O01J5FfpEHHeo5YNrAlV7gkIjISbWo7YM3brWCpVOBo9B0MXnkS9wpYcB5guTFCey4lYcTaUygs1qBLQ2csriZDlkRE1UkrnxpYOywA1mYmOBGXjgErjiMzr0jqWHqB5cbI7Dh/G2PWnUGRWqB7U1cs6t+Cd/kmIjJSLWrZ45dhrWFrboqz8Rl4a/lxZOQWSh1Lciw3RmTz2Vt499czKNYIvPKcO77v0xymCn6JiYiMWRMPW/w6vDVqWCpx4VYm3lx2HHfuFUgdS1L8zWckNp5KwISNEdAI4A1/D8x9oxlMWGyIiKqFhm42WD+iZGHWK7ez8OayY0jJzpc6lmT4288IrDt+Ax/+dh5CAP0DauGr15pCIZdJHYuIiKpQXWdrbBjZGs42KlxNvoe+S44hKbN6FhyWGwO36kgsPvvzIgBgSJA3vujVGHIWGyKiasnP0QobRwbC3c4cMWk56LM0HLcy8qSOVeVYbgzYkgPR+HzbZQDAyGBfTHmpIWQyFhsiourMq6YlNoxsDc8a5rhxJxe9F4cj/k6u1LGqFMuNgVqw7xpm/RUJABj3Qm18/GJ9FhsiIgIAeNhbYOPIQPg4WOJWRh76LA1HbFqO1LGqDMuNgRFC4Ns9Ufjm76sAgPc718XELvVYbIiIqBRXW3NsGNEatZ2scDszH72XhONacrbUsaoEy40BEUJg9q5IzP/nOgDgk6718W6nOhKnIiIifeVkY4b1I1qjvos1UrML0HfpMVy5nSV1rErHcmMghBCYvv0ylhyIAQBM7dEQI4P9JE5FRET6zsFKhV+Ht0ZjdxvcySnEm8uO4eKtTKljVSqWGwOg0Qj8b/NFrDoSBwD48pXGGBLkI20oIiIyGPaWSqwb1hrNPO2QkVuEfsuOISIhQ+pYlYblRs+pNQIf/3Ee647HQyYD5rzeFP0DvKSORUREBsbW3BQ/D22Fll72yMovxlvLj+NUXLrUsSoFy40eK1Zr8MGmc9h46ibkMuDb3s3Qu6Wn1LGIiMhAWZuZYs3brRDoWxP3CooxcOUJhEffkTpWhWO50VNFag3Gb4jAn2dvQSGXYf6bz+GV5zykjkVERAbOUmWClYOfR7s6DsgtVGPI6hM4dC1V6lgViuVGDxUUqzF23RnsOH8bpgoZfujfAi81dZM6FhERGQlzpQLLBrbEC/WdkF+kwdA1p7A/MkXqWBWG5UbP5BepMWrtaey5nAyliRxLB7REaCMXqWMREZGRMTNVYPFb/ujS0BmFxRqMWHsKuy8lSR2rQrDc6JG8QjWG/3QK+6NSYWYqx4pBLdGxvpPUsYiIyEgpTeRY1L8Fujd1RZFaYOy6M9h+PlHqWM/MROoAVCKnoBhD15zEsZh0WCgVWDHoeQT61ZQ6FhERGTlThRzf92kOlUKOP87ewrhfz6JIrTHoeZ4sN3ogO78IQ1adxKkbd2GlMsHqIc+jpXcNqWMREVE1YaKQ4+s3msFEIcPGUzcxceM5FBUL9H7eMK/Q5dtSEsvMLcJbK07g1I27sDEzwc/DAlhsiIioyinkMsx+tSneal0LQgAf/n4ePx+7IXWsp8JyI6G7OYXot/wYziVkwM7CFL8Mb43mnnZSxyIiompKLpdhRs/GGBLkDQD3V8ePlTbUU2C5kUjavQK8uewYLiVmoaalEutHtEZjd1upYxERUTUnk8kw5aWGGHX//oWfb7uMJQeiJU6lG5YbCaRk5aPv0mOITMqGo7Xq/h1bbaSORUREBKCk4Hz0Yj2M61QHADDrr0jM33dN4lTlx3JTxW5n5qHP0mO4nnIPLjZm2DCiNeo4W0sdi4iIqBSZTIaJnevigy51AQDf/n0V3+yJghBC4mRPxnJThW7ezUWfJccQm5YDdztzbBwZCF9HK6ljERERPdI7L9TBp93qAwAW/HMds/+K1PuCw3JTRW7cyUGfJccQn54Lr5oW2DgqELVqWkgdi4iI6IlGtPfDtB4NAQBLDsZg+vbLel1wWG6qQHTqPfReEo5bGXnwdbTEhhGBcLczlzoWERFRuQ0O8sHMV5oAAFYdicP/Nl+ERqOfBYflppJdTc5GnyXHkJxVgDpOVlg/ojVcbM2kjkVERKSzfgG1MOf1ppDJgHXH4/HR7+eh1sOCw3JTiS4nZqHv0mNIu1eABq42WD+iNZysWWyIiMhw9W7pie96N4dcBmw6fRPvb4xAsVojdaxSWG4qyYWbmXhz2TGk5xSiibstfh0egJpWKqljERERPbNez7ljwZstYCKXYXNEIsavj0CRHhUclptKcCb+LvotP4bMvCI8V8sO64YHwM5CKXUsIiKiCtO9qSt+6N8CpgoZdly4jTHrzqCgWC11LAAsNxXuRGw6Biw/juz8YrTyroG1QwNgY2YqdSwiIqIK16WRC5YObAmliRx/X07GqLWnkV8kfcFhualAR6+nYdDKE8gpVKONX02sfvt5WKl443UiIjJeHes5YeWg52FmKsf+qFQMW3MKeYXSFhyWmwpy+Foahqw+ibwiNdrXdcTKwc/DQsliQ0RExq9tHQesHtIKFkoFDl9Pw+BVJyQtOCw3FcTFVgVrMxOENHDC0gH+MDNVSB2JiIioyrT2rYm1Q1vBWmWCWjUsoDKRrmLIhD4vMVgJsrKyYGtri8zMTNjYVOzNKm/cyYGrrTmUEn5BiYiIpBSTeg9eNS2hkMsq9Hl1+f3N900qkFdNS6kjEBERSUof7pnIIQYiIiIyKiw3REREZFRYboiIiMiosNwQERGRUWG5ISIiIqPCckNERERGheWGiIiIjArLDRERERkVlhsiIiIyKiw3REREZFRYboiIiMiosNwQERGRUWG5ISIiIqNS7e4KLoQAUHLrdCIiIjIMD35vP/g9/jjVrtxkZ2cDADw9PSVOQkRERLrKzs6Gra3tY/eRifJUICOi0WiQmJgIa2tryGSyCn3urKwseHp6IiEhATY2NhX63PT/eJ6rBs9z1eB5rjo811Wjss6zEALZ2dlwc3ODXP74WTXVbuRGLpfDw8OjUl/DxsaG/3CqAM9z1eB5rho8z1WH57pqVMZ5ftKIzQOcUExERERGheWGiIiIjArLTQVSqVSYOnUqVCqV1FGMGs9z1eB5rho8z1WH57pq6MN5rnYTiomIiMi4ceSGiIiIjArLDRERERkVlhsiIiIyKiw3REREZFRYbnS0aNEieHt7w8zMDAEBAThx4sRj99+0aRPq168PMzMzNGnSBDt37qyipIZNl/O8bNkytGvXDvb29rC3t0dISMgTvy5UQtfv5wfWr18PmUyGXr16VW5AI6Hrec7IyMDYsWPh6uoKlUqFunXr8mdHOeh6nufNm4d69erB3Nwcnp6emDBhAvLz86sorWE6ePAgevToATc3N8hkMmzevPmJx4SFhaFFixZQqVSoXbs2Vq9eXek5Iajc1q9fL5RKpVi5cqW4dOmSGD58uLCzsxPJycll7n/kyBGhUCjEnDlzxOXLl8X//vc/YWpqKi5cuFDFyQ2Lrue5X79+YtGiReLs2bPiypUrYvDgwcLW1lbcvHmzipMbFl3P8wOxsbHC3d1dtGvXTvTs2bNqwhowXc9zQUGBaNmypejWrZs4fPiwiI2NFWFhYSIiIqKKkxsWXc/zunXrhEqlEuvWrROxsbFi9+7dwtXVVUyYMKGKkxuWnTt3is8++0z88ccfAoD4888/H7t/TEyMsLCwEBMnThSXL18WCxYsEAqFQuzatatSc7Lc6KBVq1Zi7Nix2v9Xq9XCzc1NzJo1q8z9e/fuLbp3715qW0BAgBg5cmSl5jR0up7n/youLhbW1tZizZo1lRXRKDzNeS4uLhZt2rQRy5cvF4MGDWK5KQddz/OPP/4ofH19RWFhYVVFNAq6nuexY8eKF154odS2iRMniqCgoErNaUzKU24+/PBD0ahRo1Lb+vTpI0JDQysxmRB8W6qcCgsLcfr0aYSEhGi3yeVyhISEIDw8vMxjwsPDS+0PAKGhoY/cn57uPP9Xbm4uioqKUKNGjcqKafCe9jxPnz4dTk5OGDp0aFXENHhPc563bt2KwMBAjB07Fs7OzmjcuDFmzpwJtVpdVbENztOc5zZt2uD06dPat65iYmKwc+dOdOvWrUoyVxdS/R6sdjfOfFppaWlQq9VwdnYutd3Z2RmRkZFlHpOUlFTm/klJSZWW09A9zXn+r48++ghubm4P/YOi//c05/nw4cNYsWIFIiIiqiChcXia8xwTE4N//vkH/fv3x86dO3H9+nWMGTMGRUVFmDp1alXENjhPc5779euHtLQ0tG3bFkIIFBcXY9SoUfj000+rInK18ajfg1lZWcjLy4O5uXmlvC5HbsiozJ49G+vXr8eff/4JMzMzqeMYjezsbAwYMADLli2Dg4OD1HGMmkajgZOTE5YuXQp/f3/06dMHn332GRYvXix1NKMSFhaGmTNn4ocffsCZM2fwxx9/YMeOHZgxY4bU0agCcOSmnBwcHKBQKJCcnFxqe3JyMlxcXMo8xsXFRaf96enO8wNz587F7NmzsXfvXjRt2rQyYxo8Xc9zdHQ04uLi0KNHD+02jUYDADAxMUFUVBT8/PwqN7QBeprvZ1dXV5iamkKhUGi3NWjQAElJSSgsLIRSqazUzIboac7z5MmTMWDAAAwbNgwA0KRJE+Tk5GDEiBH47LPPIJfzb/+K8KjfgzY2NpU2agNw5KbclEol/P39sW/fPu02jUaDffv2ITAwsMxjAgMDS+0PAH///fcj96enO88AMGfOHMyYMQO7du1Cy5YtqyKqQdP1PNevXx8XLlxARESE9vHyyy+jY8eOiIiIgKenZ1XGNxhP8/0cFBSE69eva8sjAFy9ehWurq4sNo/wNOc5Nzf3oQLzoFAK3nKxwkj2e7BSpysbmfXr1wuVSiVWr14tLl++LEaMGCHs7OxEUlKSEEKIAQMGiI8//li7/5EjR4SJiYmYO3euuHLlipg6dSovBS8HXc/z7NmzhVKpFL/99pu4ffu29pGdnS3Vp2AQdD3P/8WrpcpH1/McHx8vrK2txTvvvCOioqLE9u3bhZOTk/jiiy+k+hQMgq7neerUqcLa2lr8+uuvIiYmRuzZs0f4+fmJ3r17S/UpGITs7Gxx9uxZcfbsWQFAfPvtt+Ls2bPixo0bQgghPv74YzFgwADt/g8uBZ80aZK4cuWKWLRoES8F10cLFiwQtWrVEkqlUrRq1UocO3ZM+7Hg4GAxaNCgUvtv3LhR1K1bVyiVStGoUSOxY8eOKk5smHQ5z15eXgLAQ4+pU6dWfXADo+v387+x3JSfruf56NGjIiAgQKhUKuHr6yu+/PJLUVxcXMWpDY8u57moqEhMmzZN+Pn5CTMzM+Hp6SnGjBkj7t69W/XBDcj+/fvL/Hn74NwOGjRIBAcHP3RM8+bNhVKpFL6+vmLVqlWVnlMmBMffiIiIyHhwzg0REREZFZYbIiIiMiosN0RERGRUWG6IiIjIqLDcEBERkVFhuSEiIiKjwnJDRERERoXlhogqVVhYGGQyGTIyMgAAq1evhp2dXaW+5uDBg9GrV69KfY2K9t/z9Cje3t6YN29elWQiMlQsN0QGYvDgwZDJZJg9e3ap7Zs3b4ZMJpMole769OmDq1evSh1D77Rp0wa3b9+Gra0tgEeXwJMnT2LEiBFVnI7IsLDcEBkQMzMzfPXVV7h7926FPm9hYWGFPt/jmJubw8nJqcpez1AolUq4uLg8sag6OjrCwsKiilIRGSaWGyIDEhISAhcXF8yaNeux+/3+++9o1KgRVCoVvL298c0335T6uLe3N2bMmIGBAwfCxsYGI0aM0I4UbN++HfXq1YOFhQVef/115ObmYs2aNfD29oa9vT3GjRsHtVqtfa61a9eiZcuWsLa2houLC/r164eUlJRHZvvviIS3tzdkMtlDjwcSEhLQu3dv2NnZoUaNGujZsyfi4uK0H1er1Zg4cSLs7OxQs2ZNfPjhh4+9q3NOTg5sbGzw22+/ldq+efNmWFpaIjs7u8zjOnTogHfeeQfvvPMObG1t4eDggMmTJ5d6rbt372LgwIGwt7eHhYUFunbtimvXrmk/fuPGDfTo0QP29vawtLREo0aNsHPnTgCl35YKCwvDkCFDkJmZqT0f06ZN056vf78tFR8fj549e8LKygo2Njbo3bs3kpOTtR+fNm0amjdvjrVr18Lb2xu2trbo27fvIz9PImPAckNkQBQKBWbOnIkFCxbg5s2bZe5z+vRp9O7dG3379sWFCxcwbdo0TJ48GatXry6139y5c9GsWTOcPXsWkydPBgDk5uZi/vz5WL9+PXbt2oWwsDC88sor2LlzJ3bu3Im1a9diyZIlpYpBUVERZsyYgXPnzmHz5s2Ii4vD4MGDy/05nTx5Erdv38bt27dx8+ZNtG7dGu3atdM+d2hoKKytrXHo0CEcOXIEVlZWePHFF7WjTd988w1Wr16NlStX4vDhw0hPT8eff/75yNeztLRE3759sWrVqlLbV61ahddffx3W1taPPHbNmjUwMTHBiRMn8P333+Pbb7/F8uXLtR8fPHgwTp06ha1btyI8PBxCCHTr1g1FRUUAgLFjx6KgoAAHDx7EhQsX8NVXX8HKyuqh12nTpg3mzZsHGxsb7bn54IMPHtpPo9GgZ8+eSE9Px4EDB/D3338jJiYGffr0KbVfdHQ0Nm/ejO3bt2P79u04cODAQ29vEhmVSr81JxFViH/fhbt169bi7bffFkII8eeff4p//1Pu16+f6Ny5c6ljJ02aJBo2bKj9fy8vL9GrV69S+6xatUoAENevX9duGzlypLCwsBDZ2dnabaGhoWLkyJGPzHny5EkBQHvMg7sIP7jb8qpVq4StrW2Zx44bN054eXmJlJQUIYQQa9euFfXq1RMajUa7T0FBgTA3Nxe7d+8WQgjh6uoq5syZo/14UVGR8PDweOwdy48fPy4UCoVITEwUQgiRnJwsTExMRFhY2COPCQ4OFg0aNCiV5aOPPhINGjQQQghx9epVAUAcOXJE+/G0tDRhbm4uNm7cKIQQokmTJmLatGllPn95z5OXl5f47rvvhBBC7NmzRygUChEfH6/9+KVLlwQAceLECSGEEFOnThUWFhYiKytLu8+kSZNEQEDAIz9XIkPHkRsiA/TVV19hzZo1uHLlykMfu3LlCoKCgkptCwoKwrVr10q9ndSyZcuHjrWwsICfn5/2/52dneHt7V1qdMHZ2bnU206nT59Gjx49UKtWLVhbWyM4OBhAydsluli6dClWrFiBrVu3wtHREQBw7tw5XL9+HdbW1rCysoKVlRVq1KiB/Px8REdHIzMzE7dv30ZAQID2eUxMTMr83P6tVatWaNSoEdasWQMA+Pnnn+Hl5YX27ds/9rjWrVuXesssMDBQe16vXLkCExOTUllq1qyJevXqab9O48aNwxdffIGgoCBMnToV58+f1+kc/deVK1fg6ekJT09P7baGDRvCzs6u1PeGt7d3qREpV1fXx751SGToWG6IDFD79u0RGhqKTz755Kmfw9LS8qFtpqampf5fJpOVuU2j0QAomb8SGhoKGxsbrFu3DidPntS+JaTLJOX9+/fj3XffxU8//YSmTZtqt9+7dw/+/v6IiIgo9bh69Sr69etX7ucvy7Bhw7Rv1a1atQpDhgyp9KvOhg0bhpiYGAwYMAAXLlxAy5YtsWDBgkp9TaDsr+uDryGRMWK5ITJQs2fPxrZt2xAeHl5qe4MGDXDkyJFS244cOYK6detCoVBUaIbIyEjcuXMHs2fPRrt27VC/fn2dRwSuX7+O119/HZ9++ileffXVUh9r0aIFrl27BicnJ9SuXbvUw9bWFra2tnB1dcXx48e1xxQXF+P06dNPfN233noLN27cwPz583H58mUMGjToicf8+3UA4NixY6hTpw4UCgUaNGiA4uLiUvvcuXMHUVFRaNiwoXabp6cnRo0ahT/++APvv/8+li1bVuZrKZXKUiNtZWnQoAESEhKQkJCg3Xb58mVkZGSUek2i6oblhshANWnSBP3798f8+fNLbX///fexb98+zJgxA1evXsWaNWuwcOHCMiekPqtatWpBqVRiwYIFiImJwdatWzFjxoxyH5+Xl4cePXrgueeew4gRI5CUlKR9AED//v3h4OCAnj174tChQ4iNjUVYWBjGjRunnVA9fvx4zJ49G5s3b0ZkZCTGjBnzxIXwAMDe3h6vvvoqJk2ahC5dusDDw+OJx8THx2PixImIiorCr7/+igULFmD8+PEAgDp16qBnz54YPnw4Dh8+jHPnzuGtt96Cu7s7evbsCQB47733sHv3bsTGxuLMmTPYv38/GjRoUOZreXt74969e9i3bx/S0tKQm5v70D4hISHa74MzZ87gxIkTGDhwIIKDg5/41hyRMWO5ITJg06dPf+jthRYtWmDjxo1Yv349GjdujClTpmD69Ok6XcFUXo6Ojli9ejU2bdqEhg0bYvbs2Zg7d265j09OTkZkZCT27dsHNzc3uLq6ah9AyRyggwcPolatWnj11VfRoEEDDB06FPn5+bCxsQFQUuYGDBiAQYMGITAwENbW1njllVfK9fpDhw5FYWEh3n777XLtP3DgQOTl5aFVq1YYO3Ysxo8fX2pBvVWrVsHf3x8vvfQSAgMDIYTAzp07tW8LqdVqjB07Fg0aNMCLL76IunXr4ocffijztdq0aYNRo0ahT58+cHR0xJw5cx7aRyaTYcuWLbC3t0f79u0REhICX19fbNiwoVyfD5GxkgnxmAUhiIiM2Nq1azFhwgQkJiZCqVQ+dt8OHTqgefPmvPUBkQEwkToAEVFVy83Nxe3btzF79myMHDnyicWGiAwL35Yiompnzpw5qF+/PlxcXJ7pijMi0k98W4qIiIiMCkduiIiIyKiw3BAREZFRYbkhIiIio8JyQ0REREaF5YaIiIiMCssNERERGRWWGyIiIjIqLDdERERkVFhuiIiIyKj8H324rSiJDCVgAAAAAElFTkSuQmCC",
                        "text/plain": [
                            "<Figure size 640x480 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/plain": [
                            "Feb40(4.0):\n",
                            "-> Module: solid\n",
                            "-> Control: 12\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Mesh: 3\n",
                            "--> Nodes: 231\n",
                            "--> Elements: 400\n",
                            "-> MeshDomains: 1\n",
                            "-> MeshData: 1\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 2\n",
                            "-> Discrete: 0\n",
                            "-> Output: 1\n",
                            "-> LoadData: 1"
                        ]
                    },
                    "execution_count": 21,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "# first, get the y position of the nodes\n",
                "y_values = mesh.points[selected_nodes, 1]\n",
                "# then, normalize the y values, so that we can use them as 'maps'\n",
                "y_values = (y_values - y_values.min()) / (y_values.max() - y_values.min())\n",
                "# now, create a normal distribution curve using the y values, centered at\n",
                "# middle of the y values (0.5)\n",
                "tensile_load_map = np.exp(-((y_values - 0.5) ** 2) / 0.1)\n",
                "# plot the load curve\n",
                "import matplotlib.pyplot as plt\n",
                "plt.plot(y_values, tensile_load_map)\n",
                "plt.xlabel(\"Normalized y position\")\n",
                "plt.ylabel(\"Load curve\")\n",
                "plt.title(\"Load curve for the shear load\")\n",
                "plt.show()\n",
                "\n",
                "# Create a nodal load\n",
                "tensile_load = NodalLoad(node_set=\"right_edge\",\n",
                "                         dof=\"x\",\n",
                "                       scale=100.0*tensile_load_map, #\n",
                "                       load_curve=1,\n",
                "                       )\n",
                "feb.add_nodal_loads([tensile_load])\n",
                "feb"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Add boundary condition"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Now, let's fix the left boundary of the mesh. We will be applying fixed condition to restrain the mesh in all coordinates. In addition, since this is a simple plane mesh, we will apply constraint in z (for all nodes) and rotation (shell constrain) for all the left nodes."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 22,
            "metadata": {},
            "outputs": [],
            "source": [
                "from febio_python.core import ZeroDisplacementCondition, ZeroShellDisplacementCondition\n",
                "\n",
                "# Fix the left edge of the mesh\n",
                "x_values = mesh.points[:, 0]\n",
                "selected_nodes = np.where(x_values == x_values.min())[0]\n",
                "all_nodes = np.arange(mesh.points.shape[0]) # used to fix all nodes in the z direction\n",
                "# Create nodesets\n",
                "left_nodeset = NodeSet(name=\"left_edge\", ids=selected_nodes)\n",
                "all_nodeset = NodeSet(name=\"all_nodes\", ids=all_nodes)\n",
                "# Create a fix condition\n",
                "left_fix_condition = ZeroDisplacementCondition(dof=\"x,y,z\", node_set=\"left_edge\")\n",
                "left_shell_fix_condition = ZeroShellDisplacementCondition(dof=\"sx,sy,sz\", node_set=\"left_edge\")\n",
                "# we will\n",
                "all_fix_condition = ZeroDisplacementCondition(dof=\"z\", node_set=\"all_nodes\")\n",
                "\n",
                "# Add nodeset and fix condition to the feb object\n",
                "feb.add_node_sets([left_nodeset, all_nodeset])\n",
                "feb.add_boundary_conditions([left_fix_condition, left_shell_fix_condition, all_fix_condition])"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Adding Material"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Now, let's add a material. We will use simple Isotropic-Elastic."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 23,
            "metadata": {},
            "outputs": [],
            "source": [
                "from febio_python.core import Material\n",
                "\n",
                "mat = Material(\n",
                "    id=1,\n",
                "    type=\"isotropic elastic\",\n",
                "    name=\"plane material\",\n",
                "    parameters=dict(\n",
                "        E=1e6,\n",
                "        v=0.3,\n",
                "        density=1,\n",
                "    )\n",
                ")\n",
                "\n",
                "feb.add_materials([mat])"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Add Element data"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 24,
            "metadata": {},
            "outputs": [],
            "source": [
                "from febio_python.core import ElementData\n",
                "\n",
                "shell_thickness = ElementData(\n",
                "    name=\"Element thickness\",\n",
                "    elem_set=\"plane_elements\",\n",
                "    data=np.full((mesh.n_cells, 3), 0.01),\n",
                "    ids=np.arange(0, mesh.n_cells + 1),\n",
                ")\n",
                "feb.add_element_data([shell_thickness])"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Running FEB"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Uncomment and run the code below:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 25,
            "metadata": {},
            "outputs": [],
            "source": [
                "# from febio_python.feb import run\n",
                "# # Save the FEB file\n",
                "# feb.write(\"plane_mesh_v40.feb\")\n",
                "# run(\"plane_mesh_v40.feb\")"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Reading XPLT"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 26,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Xplt object [2887623865632]:\n",
                            "=== xplt_mesh: ===\n",
                            "-Nodes:\n",
                            "--->None: (231, 3)\n",
                            "-Elements:\n",
                            "--->None: (400, 3)\n",
                            "=== States: ===\n",
                            "-Nodes:\n",
                            "--->displacement: (11, 231, 3)\n",
                            "-Elements:\n",
                            "--->Lagrange strain: (11, 400, 6)\n",
                            "--->stress: (11, 400, 6)\n",
                            "-Surfaces:"
                        ]
                    },
                    "execution_count": 26,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "from febio_python import Xplt\n",
                "\n",
                "xplt = Xplt(\"plane_mesh_v40.xplt\")\n",
                "xplt"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Example properties"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 27,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "[Nodes(name=None, coordinates=array([[-1.        , -0.5       ,  0.        ],\n",
                            "        [-0.89999998, -0.5       ,  0.        ],\n",
                            "        [-0.80000001, -0.5       ,  0.        ],\n",
                            "        [-0.69999999, -0.5       ,  0.        ],\n",
                            "        [-0.60000002, -0.5       ,  0.        ],\n",
                            "        [-0.5       , -0.5       ,  0.        ],\n",
                            "        [-0.40000001, -0.5       ,  0.        ],\n",
                            "        [-0.30000001, -0.5       ,  0.        ],\n",
                            "        [-0.2       , -0.5       ,  0.        ],\n",
                            "        [-0.1       , -0.5       ,  0.        ],\n",
                            "        [ 0.        , -0.5       ,  0.        ],\n",
                            "        [ 0.1       , -0.5       ,  0.        ],\n",
                            "        [ 0.2       , -0.5       ,  0.        ],\n",
                            "        [ 0.30000001, -0.5       ,  0.        ],\n",
                            "        [ 0.40000001, -0.5       ,  0.        ],\n",
                            "        [ 0.5       , -0.5       ,  0.        ],\n",
                            "        [ 0.60000002, -0.5       ,  0.        ],\n",
                            "        [ 0.69999999, -0.5       ,  0.        ],\n",
                            "        [ 0.80000001, -0.5       ,  0.        ],\n",
                            "        [ 0.89999998, -0.5       ,  0.        ],\n",
                            "        [ 1.        , -0.5       ,  0.        ],\n",
                            "        [-1.        , -0.40000001,  0.        ],\n",
                            "        [-0.89999998, -0.40000001,  0.        ],\n",
                            "        [-0.80000001, -0.40000001,  0.        ],\n",
                            "        [-0.69999999, -0.40000001,  0.        ],\n",
                            "        [-0.60000002, -0.40000001,  0.        ],\n",
                            "        [-0.5       , -0.40000001,  0.        ],\n",
                            "        [-0.40000001, -0.40000001,  0.        ],\n",
                            "        [-0.30000001, -0.40000001,  0.        ],\n",
                            "        [-0.2       , -0.40000001,  0.        ],\n",
                            "        [-0.1       , -0.40000001,  0.        ],\n",
                            "        [ 0.        , -0.40000001,  0.        ],\n",
                            "        [ 0.1       , -0.40000001,  0.        ],\n",
                            "        [ 0.2       , -0.40000001,  0.        ],\n",
                            "        [ 0.30000001, -0.40000001,  0.        ],\n",
                            "        [ 0.40000001, -0.40000001,  0.        ],\n",
                            "        [ 0.5       , -0.40000001,  0.        ],\n",
                            "        [ 0.60000002, -0.40000001,  0.        ],\n",
                            "        [ 0.69999999, -0.40000001,  0.        ],\n",
                            "        [ 0.80000001, -0.40000001,  0.        ],\n",
                            "        [ 0.89999998, -0.40000001,  0.        ],\n",
                            "        [ 1.        , -0.40000001,  0.        ],\n",
                            "        [-1.        , -0.30000001,  0.        ],\n",
                            "        [-0.89999998, -0.30000001,  0.        ],\n",
                            "        [-0.80000001, -0.30000001,  0.        ],\n",
                            "        [-0.69999999, -0.30000001,  0.        ],\n",
                            "        [-0.60000002, -0.30000001,  0.        ],\n",
                            "        [-0.5       , -0.30000001,  0.        ],\n",
                            "        [-0.40000001, -0.30000001,  0.        ],\n",
                            "        [-0.30000001, -0.30000001,  0.        ],\n",
                            "        [-0.2       , -0.30000001,  0.        ],\n",
                            "        [-0.1       , -0.30000001,  0.        ],\n",
                            "        [ 0.        , -0.30000001,  0.        ],\n",
                            "        [ 0.1       , -0.30000001,  0.        ],\n",
                            "        [ 0.2       , -0.30000001,  0.        ],\n",
                            "        [ 0.30000001, -0.30000001,  0.        ],\n",
                            "        [ 0.40000001, -0.30000001,  0.        ],\n",
                            "        [ 0.5       , -0.30000001,  0.        ],\n",
                            "        [ 0.60000002, -0.30000001,  0.        ],\n",
                            "        [ 0.69999999, -0.30000001,  0.        ],\n",
                            "        [ 0.80000001, -0.30000001,  0.        ],\n",
                            "        [ 0.89999998, -0.30000001,  0.        ],\n",
                            "        [ 1.        , -0.30000001,  0.        ],\n",
                            "        [-1.        , -0.2       ,  0.        ],\n",
                            "        [-0.89999998, -0.2       ,  0.        ],\n",
                            "        [-0.80000001, -0.2       ,  0.        ],\n",
                            "        [-0.69999999, -0.2       ,  0.        ],\n",
                            "        [-0.60000002, -0.2       ,  0.        ],\n",
                            "        [-0.5       , -0.2       ,  0.        ],\n",
                            "        [-0.40000001, -0.2       ,  0.        ],\n",
                            "        [-0.30000001, -0.2       ,  0.        ],\n",
                            "        [-0.2       , -0.2       ,  0.        ],\n",
                            "        [-0.1       , -0.2       ,  0.        ],\n",
                            "        [ 0.        , -0.2       ,  0.        ],\n",
                            "        [ 0.1       , -0.2       ,  0.        ],\n",
                            "        [ 0.2       , -0.2       ,  0.        ],\n",
                            "        [ 0.30000001, -0.2       ,  0.        ],\n",
                            "        [ 0.40000001, -0.2       ,  0.        ],\n",
                            "        [ 0.5       , -0.2       ,  0.        ],\n",
                            "        [ 0.60000002, -0.2       ,  0.        ],\n",
                            "        [ 0.69999999, -0.2       ,  0.        ],\n",
                            "        [ 0.80000001, -0.2       ,  0.        ],\n",
                            "        [ 0.89999998, -0.2       ,  0.        ],\n",
                            "        [ 1.        , -0.2       ,  0.        ],\n",
                            "        [-1.        , -0.1       ,  0.        ],\n",
                            "        [-0.89999998, -0.1       ,  0.        ],\n",
                            "        [-0.80000001, -0.1       ,  0.        ],\n",
                            "        [-0.69999999, -0.1       ,  0.        ],\n",
                            "        [-0.60000002, -0.1       ,  0.        ],\n",
                            "        [-0.5       , -0.1       ,  0.        ],\n",
                            "        [-0.40000001, -0.1       ,  0.        ],\n",
                            "        [-0.30000001, -0.1       ,  0.        ],\n",
                            "        [-0.2       , -0.1       ,  0.        ],\n",
                            "        [-0.1       , -0.1       ,  0.        ],\n",
                            "        [ 0.        , -0.1       ,  0.        ],\n",
                            "        [ 0.1       , -0.1       ,  0.        ],\n",
                            "        [ 0.2       , -0.1       ,  0.        ],\n",
                            "        [ 0.30000001, -0.1       ,  0.        ],\n",
                            "        [ 0.40000001, -0.1       ,  0.        ],\n",
                            "        [ 0.5       , -0.1       ,  0.        ],\n",
                            "        [ 0.60000002, -0.1       ,  0.        ],\n",
                            "        [ 0.69999999, -0.1       ,  0.        ],\n",
                            "        [ 0.80000001, -0.1       ,  0.        ],\n",
                            "        [ 0.89999998, -0.1       ,  0.        ],\n",
                            "        [ 1.        , -0.1       ,  0.        ],\n",
                            "        [-1.        ,  0.        ,  0.        ],\n",
                            "        [-0.89999998,  0.        ,  0.        ],\n",
                            "        [-0.80000001,  0.        ,  0.        ],\n",
                            "        [-0.69999999,  0.        ,  0.        ],\n",
                            "        [-0.60000002,  0.        ,  0.        ],\n",
                            "        [-0.5       ,  0.        ,  0.        ],\n",
                            "        [-0.40000001,  0.        ,  0.        ],\n",
                            "        [-0.30000001,  0.        ,  0.        ],\n",
                            "        [-0.2       ,  0.        ,  0.        ],\n",
                            "        [-0.1       ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.1       ,  0.        ,  0.        ],\n",
                            "        [ 0.2       ,  0.        ,  0.        ],\n",
                            "        [ 0.30000001,  0.        ,  0.        ],\n",
                            "        [ 0.40000001,  0.        ,  0.        ],\n",
                            "        [ 0.5       ,  0.        ,  0.        ],\n",
                            "        [ 0.60000002,  0.        ,  0.        ],\n",
                            "        [ 0.69999999,  0.        ,  0.        ],\n",
                            "        [ 0.80000001,  0.        ,  0.        ],\n",
                            "        [ 0.89999998,  0.        ,  0.        ],\n",
                            "        [ 1.        ,  0.        ,  0.        ],\n",
                            "        [-1.        ,  0.1       ,  0.        ],\n",
                            "        [-0.89999998,  0.1       ,  0.        ],\n",
                            "        [-0.80000001,  0.1       ,  0.        ],\n",
                            "        [-0.69999999,  0.1       ,  0.        ],\n",
                            "        [-0.60000002,  0.1       ,  0.        ],\n",
                            "        [-0.5       ,  0.1       ,  0.        ],\n",
                            "        [-0.40000001,  0.1       ,  0.        ],\n",
                            "        [-0.30000001,  0.1       ,  0.        ],\n",
                            "        [-0.2       ,  0.1       ,  0.        ],\n",
                            "        [-0.1       ,  0.1       ,  0.        ],\n",
                            "        [ 0.        ,  0.1       ,  0.        ],\n",
                            "        [ 0.1       ,  0.1       ,  0.        ],\n",
                            "        [ 0.2       ,  0.1       ,  0.        ],\n",
                            "        [ 0.30000001,  0.1       ,  0.        ],\n",
                            "        [ 0.40000001,  0.1       ,  0.        ],\n",
                            "        [ 0.5       ,  0.1       ,  0.        ],\n",
                            "        [ 0.60000002,  0.1       ,  0.        ],\n",
                            "        [ 0.69999999,  0.1       ,  0.        ],\n",
                            "        [ 0.80000001,  0.1       ,  0.        ],\n",
                            "        [ 0.89999998,  0.1       ,  0.        ],\n",
                            "        [ 1.        ,  0.1       ,  0.        ],\n",
                            "        [-1.        ,  0.2       ,  0.        ],\n",
                            "        [-0.89999998,  0.2       ,  0.        ],\n",
                            "        [-0.80000001,  0.2       ,  0.        ],\n",
                            "        [-0.69999999,  0.2       ,  0.        ],\n",
                            "        [-0.60000002,  0.2       ,  0.        ],\n",
                            "        [-0.5       ,  0.2       ,  0.        ],\n",
                            "        [-0.40000001,  0.2       ,  0.        ],\n",
                            "        [-0.30000001,  0.2       ,  0.        ],\n",
                            "        [-0.2       ,  0.2       ,  0.        ],\n",
                            "        [-0.1       ,  0.2       ,  0.        ],\n",
                            "        [ 0.        ,  0.2       ,  0.        ],\n",
                            "        [ 0.1       ,  0.2       ,  0.        ],\n",
                            "        [ 0.2       ,  0.2       ,  0.        ],\n",
                            "        [ 0.30000001,  0.2       ,  0.        ],\n",
                            "        [ 0.40000001,  0.2       ,  0.        ],\n",
                            "        [ 0.5       ,  0.2       ,  0.        ],\n",
                            "        [ 0.60000002,  0.2       ,  0.        ],\n",
                            "        [ 0.69999999,  0.2       ,  0.        ],\n",
                            "        [ 0.80000001,  0.2       ,  0.        ],\n",
                            "        [ 0.89999998,  0.2       ,  0.        ],\n",
                            "        [ 1.        ,  0.2       ,  0.        ],\n",
                            "        [-1.        ,  0.30000001,  0.        ],\n",
                            "        [-0.89999998,  0.30000001,  0.        ],\n",
                            "        [-0.80000001,  0.30000001,  0.        ],\n",
                            "        [-0.69999999,  0.30000001,  0.        ],\n",
                            "        [-0.60000002,  0.30000001,  0.        ],\n",
                            "        [-0.5       ,  0.30000001,  0.        ],\n",
                            "        [-0.40000001,  0.30000001,  0.        ],\n",
                            "        [-0.30000001,  0.30000001,  0.        ],\n",
                            "        [-0.2       ,  0.30000001,  0.        ],\n",
                            "        [-0.1       ,  0.30000001,  0.        ],\n",
                            "        [ 0.        ,  0.30000001,  0.        ],\n",
                            "        [ 0.1       ,  0.30000001,  0.        ],\n",
                            "        [ 0.2       ,  0.30000001,  0.        ],\n",
                            "        [ 0.30000001,  0.30000001,  0.        ],\n",
                            "        [ 0.40000001,  0.30000001,  0.        ],\n",
                            "        [ 0.5       ,  0.30000001,  0.        ],\n",
                            "        [ 0.60000002,  0.30000001,  0.        ],\n",
                            "        [ 0.69999999,  0.30000001,  0.        ],\n",
                            "        [ 0.80000001,  0.30000001,  0.        ],\n",
                            "        [ 0.89999998,  0.30000001,  0.        ],\n",
                            "        [ 1.        ,  0.30000001,  0.        ],\n",
                            "        [-1.        ,  0.40000001,  0.        ],\n",
                            "        [-0.89999998,  0.40000001,  0.        ],\n",
                            "        [-0.80000001,  0.40000001,  0.        ],\n",
                            "        [-0.69999999,  0.40000001,  0.        ],\n",
                            "        [-0.60000002,  0.40000001,  0.        ],\n",
                            "        [-0.5       ,  0.40000001,  0.        ],\n",
                            "        [-0.40000001,  0.40000001,  0.        ],\n",
                            "        [-0.30000001,  0.40000001,  0.        ],\n",
                            "        [-0.2       ,  0.40000001,  0.        ],\n",
                            "        [-0.1       ,  0.40000001,  0.        ],\n",
                            "        [ 0.        ,  0.40000001,  0.        ],\n",
                            "        [ 0.1       ,  0.40000001,  0.        ],\n",
                            "        [ 0.2       ,  0.40000001,  0.        ],\n",
                            "        [ 0.30000001,  0.40000001,  0.        ],\n",
                            "        [ 0.40000001,  0.40000001,  0.        ],\n",
                            "        [ 0.5       ,  0.40000001,  0.        ],\n",
                            "        [ 0.60000002,  0.40000001,  0.        ],\n",
                            "        [ 0.69999999,  0.40000001,  0.        ],\n",
                            "        [ 0.80000001,  0.40000001,  0.        ],\n",
                            "        [ 0.89999998,  0.40000001,  0.        ],\n",
                            "        [ 1.        ,  0.40000001,  0.        ],\n",
                            "        [-1.        ,  0.5       ,  0.        ],\n",
                            "        [-0.89999998,  0.5       ,  0.        ],\n",
                            "        [-0.80000001,  0.5       ,  0.        ],\n",
                            "        [-0.69999999,  0.5       ,  0.        ],\n",
                            "        [-0.60000002,  0.5       ,  0.        ],\n",
                            "        [-0.5       ,  0.5       ,  0.        ],\n",
                            "        [-0.40000001,  0.5       ,  0.        ],\n",
                            "        [-0.30000001,  0.5       ,  0.        ],\n",
                            "        [-0.2       ,  0.5       ,  0.        ],\n",
                            "        [-0.1       ,  0.5       ,  0.        ],\n",
                            "        [ 0.        ,  0.5       ,  0.        ],\n",
                            "        [ 0.1       ,  0.5       ,  0.        ],\n",
                            "        [ 0.2       ,  0.5       ,  0.        ],\n",
                            "        [ 0.30000001,  0.5       ,  0.        ],\n",
                            "        [ 0.40000001,  0.5       ,  0.        ],\n",
                            "        [ 0.5       ,  0.5       ,  0.        ],\n",
                            "        [ 0.60000002,  0.5       ,  0.        ],\n",
                            "        [ 0.69999999,  0.5       ,  0.        ],\n",
                            "        [ 0.80000001,  0.5       ,  0.        ],\n",
                            "        [ 0.89999998,  0.5       ,  0.        ],\n",
                            "        [ 1.        ,  0.5       ,  0.        ]]), ids=array([  1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
                            "         14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,\n",
                            "         27,  28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,\n",
                            "         40,  41,  42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,\n",
                            "         53,  54,  55,  56,  57,  58,  59,  60,  61,  62,  63,  64,  65,\n",
                            "         66,  67,  68,  69,  70,  71,  72,  73,  74,  75,  76,  77,  78,\n",
                            "         79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89,  90,  91,\n",
                            "         92,  93,  94,  95,  96,  97,  98,  99, 100, 101, 102, 103, 104,\n",
                            "        105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117,\n",
                            "        118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130,\n",
                            "        131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143,\n",
                            "        144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156,\n",
                            "        157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169,\n",
                            "        170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182,\n",
                            "        183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195,\n",
                            "        196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,\n",
                            "        209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221,\n",
                            "        222, 223, 224, 225, 226, 227, 228, 229, 230, 231]))]"
                        ]
                    },
                    "execution_count": 27,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.nodes # list of Nodes objects"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 28,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "[Elements(name=None, type='TRIANGLE', connectivity=array([[  0,   1,  21],\n",
                            "        [ 22,  21,   1],\n",
                            "        [  1,   2,  22],\n",
                            "        ...,\n",
                            "        [229, 228, 208],\n",
                            "        [208, 209, 229],\n",
                            "        [230, 229, 209]]), ids=array([  1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
                            "         14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,\n",
                            "         27,  28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,\n",
                            "         40,  41,  42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,\n",
                            "         53,  54,  55,  56,  57,  58,  59,  60,  61,  62,  63,  64,  65,\n",
                            "         66,  67,  68,  69,  70,  71,  72,  73,  74,  75,  76,  77,  78,\n",
                            "         79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89,  90,  91,\n",
                            "         92,  93,  94,  95,  96,  97,  98,  99, 100, 101, 102, 103, 104,\n",
                            "        105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117,\n",
                            "        118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130,\n",
                            "        131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143,\n",
                            "        144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156,\n",
                            "        157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169,\n",
                            "        170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182,\n",
                            "        183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195,\n",
                            "        196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,\n",
                            "        209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221,\n",
                            "        222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234,\n",
                            "        235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247,\n",
                            "        248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260,\n",
                            "        261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273,\n",
                            "        274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286,\n",
                            "        287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299,\n",
                            "        300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312,\n",
                            "        313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325,\n",
                            "        326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338,\n",
                            "        339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351,\n",
                            "        352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364,\n",
                            "        365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377,\n",
                            "        378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390,\n",
                            "        391, 392, 393, 394, 395, 396, 397, 398, 399, 400]), mat=None, part=1)]"
                        ]
                    },
                    "execution_count": 28,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.elements # list of Elements objects"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 29,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "States(nodes=[StateData(name='displacement', dom=-1, data=array([[[ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.00220876, -0.00138848,  0.        ],\n",
                            "        [-0.0044777 , -0.00291381,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.03501934, -0.07832458,  0.        ],\n",
                            "        [ 0.03535859, -0.08439115,  0.        ],\n",
                            "        [ 0.03562101, -0.09075736,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.0040143 , -0.00251072,  0.        ],\n",
                            "        [-0.00812449, -0.00527578,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.06155637, -0.14323959,  0.        ],\n",
                            "        [ 0.06199993, -0.15412821,  0.        ],\n",
                            "        [ 0.06229447, -0.16563064,  0.        ]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.0102166 , -0.00648645,  0.        ],\n",
                            "        [-0.02036276, -0.01388767,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.14947748, -0.3811367 ,  0.        ],\n",
                            "        [ 0.14983469, -0.40797347,  0.        ],\n",
                            "        [ 0.14956348, -0.4375061 ,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.01080656, -0.00690494,  0.        ],\n",
                            "        [-0.02147301, -0.01484216,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.15917969, -0.40684003,  0.        ],\n",
                            "        [ 0.15957509, -0.43523568,  0.        ],\n",
                            "        [ 0.15924646, -0.46669516,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.01131956, -0.00728358,  0.        ],\n",
                            "        [-0.02242204, -0.01571946,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.16826567, -0.4302698 ,  0.        ],\n",
                            "        [ 0.16872025, -0.46006113,  0.        ],\n",
                            "        [ 0.16835007, -0.49328837,  0.        ]]], dtype=float32))], elements=[StateData(name='Lagrange strain', dom=0, data=array([[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        ...,\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00]],\n",
                            "\n",
                            "       [[-2.17677094e-02,  0.00000000e+00,  3.74327949e-03,\n",
                            "         -6.93582371e-03, -4.37995950e-05, -2.12121537e-04],\n",
                            "        [-1.44304177e-02,  4.09667706e-03,  5.80157526e-03,\n",
                            "         -1.21883943e-03,  5.60197332e-05, -6.63803366e-05],\n",
                            "        [-2.22795270e-02,  4.09667706e-03,  7.83721078e-03,\n",
                            "         -3.98436794e-03,  3.43527390e-05,  1.65543141e-04],\n",
                            "        ...,\n",
                            "        [ 5.26422681e-03, -1.79072132e-03, -1.32321590e-03,\n",
                            "         -1.09698484e-03,  1.35720460e-04, -9.22642721e-05],\n",
                            "        [ 3.76291759e-03, -1.79072132e-03, -6.20350009e-04,\n",
                            "         -1.20366516e-03,  3.88481822e-05,  1.51849181e-05],\n",
                            "        [ 4.56744991e-03, -4.31843102e-03, -2.29693338e-04,\n",
                            "         -2.06525391e-03, -6.21005311e-04,  2.85787100e-04]],\n",
                            "\n",
                            "       [[-3.90582196e-02,  0.00000000e+00,  6.69534458e-03,\n",
                            "         -1.25417085e-02, -7.91431958e-05, -3.80462821e-04],\n",
                            "        [-2.57335734e-02,  7.29539804e-03,  1.03692589e-02,\n",
                            "         -2.23168731e-03,  1.01221529e-04, -1.18771379e-04],\n",
                            "        [-3.98102477e-02,  7.29539804e-03,  1.40054580e-02,\n",
                            "         -7.24549964e-03,  6.26781766e-05,  2.96983548e-04],\n",
                            "        ...,\n",
                            "        [ 1.04291877e-02, -3.59612866e-03, -2.62246048e-03,\n",
                            "         -1.94583589e-03,  2.62564688e-04, -1.94546839e-04],\n",
                            "        [ 7.59910978e-03, -3.59612866e-03, -1.25865580e-03,\n",
                            "         -2.20169220e-03,  7.99803020e-05,  2.65620838e-05],\n",
                            "        [ 9.37132537e-03, -8.74294899e-03, -5.08905330e-04,\n",
                            "         -3.88899446e-03, -1.21698214e-03,  6.25088112e-04]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[-9.49234068e-02,  0.00000000e+00,  1.60137974e-02,\n",
                            "         -3.24016511e-02, -2.04027048e-04, -9.26311302e-04],\n",
                            "        [-5.90482466e-02,  1.65700149e-02,  2.44058762e-02,\n",
                            "         -6.17906218e-03,  2.60786124e-04, -2.74899823e-04],\n",
                            "        [-9.34232473e-02,  1.65700149e-02,  3.28529291e-02,\n",
                            "         -1.95991900e-02,  1.65617355e-04,  7.16031471e-04],\n",
                            "        ...,\n",
                            "        [ 3.98563445e-02, -1.43719194e-02, -9.90771782e-03,\n",
                            "         -4.43919096e-03,  9.21695610e-04, -8.83027446e-04],\n",
                            "        [ 3.06086857e-02, -1.43719194e-02, -5.02582826e-03,\n",
                            "         -6.17014943e-03,  3.49059643e-04,  5.59888649e-05],\n",
                            "        [ 3.98842469e-02, -3.57679091e-02, -2.52990308e-03,\n",
                            "         -1.22303627e-02, -4.48134402e-03,  3.11454432e-03]],\n",
                            "\n",
                            "       [[-9.99256521e-02,  0.00000000e+00,  1.68171786e-02,\n",
                            "         -3.44921164e-02, -2.17095192e-04, -9.75765346e-04],\n",
                            "        [-6.14328049e-02,  1.72004160e-02,  2.55326405e-02,\n",
                            "         -6.64548576e-03,  2.77563930e-04, -2.86216731e-04],\n",
                            "        [-9.76665765e-02,  1.72004160e-02,  3.43420096e-02,\n",
                            "         -2.10359637e-02,  1.76507951e-04,  7.52359221e-04],\n",
                            "        ...,\n",
                            "        [ 4.45817485e-02, -1.61659475e-02, -1.10525191e-02,\n",
                            "         -4.63817036e-03,  1.02229952e-03, -1.00125966e-03],\n",
                            "        [ 3.43548208e-02, -1.61659475e-02, -5.61971823e-03,\n",
                            "         -6.68002805e-03,  3.96120304e-04,  5.75903759e-05],\n",
                            "        [ 4.50384207e-02, -4.02831174e-02, -2.87718838e-03,\n",
                            "         -1.33968135e-02, -4.99630766e-03,  3.55860265e-03]],\n",
                            "\n",
                            "       [[-1.04221813e-01,  0.00000000e+00,  1.74986590e-02,\n",
                            "         -3.63835469e-02, -2.28882986e-04, -1.01843383e-03],\n",
                            "        [-6.32932782e-02,  1.76788010e-02,  2.64601391e-02,\n",
                            "         -7.07987975e-03,  2.92746816e-04, -2.95078993e-04],\n",
                            "        [-1.01138130e-01,  1.76788010e-02,  3.55594903e-02,\n",
                            "         -2.23720279e-02,  1.86323217e-04,  7.83163880e-04],\n",
                            "        ...,\n",
                            "        [ 4.92735021e-02, -1.79623552e-02, -1.21813323e-02,\n",
                            "         -4.80537629e-03,  1.12142053e-03, -1.11944962e-03],\n",
                            "        [ 3.80702429e-02, -1.79623552e-02, -6.20182930e-03,\n",
                            "         -7.17152003e-03,  4.43671306e-04,  5.86747301e-05],\n",
                            "        [ 5.01911044e-02, -4.47977670e-02, -3.22174374e-03,\n",
                            "         -1.45287961e-02, -5.50667616e-03,  4.00539767e-03]]],\n",
                            "      dtype=float32)), StateData(name='stress', dom=0, data=array([[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        ...,\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00]],\n",
                            "\n",
                            "       [[-2.64484258e+04, -1.04529355e+04, -7.70807080e+03,\n",
                            "         -4.94026172e+03, -2.88648472e+01, -1.48734741e+02],\n",
                            "        [-1.33989375e+04,  5.57711304e+02,  1.88573279e+03,\n",
                            "         -7.94711731e+02,  4.41828728e+01, -4.59821739e+01],\n",
                            "        [-2.23616953e+04, -2.78293970e+03,  6.36981621e+01,\n",
                            "         -2.71356543e+03,  2.35810680e+01,  1.20599007e+02],\n",
                            "        ...,\n",
                            "        [ 5.21622900e+03, -1.42441969e+01,  2.21691864e+02,\n",
                            "         -1.16859033e+03,  1.08122070e+02, -6.51865768e+01],\n",
                            "        [ 3.57391211e+03, -4.66856659e+02,  3.02063782e+02,\n",
                            "         -1.17826062e+03,  2.89683361e+01,  1.33193684e+01],\n",
                            "        [ 3.34432422e+03, -3.05434204e+03, -1.65373367e+02,\n",
                            "         -1.99538770e+03, -4.88635071e+02,  1.92100922e+02]],\n",
                            "\n",
                            "       [[-4.64621133e+04, -1.88682031e+04, -1.41482842e+04,\n",
                            "         -8.36959863e+03, -4.55878372e+01, -2.46629288e+02],\n",
                            "        [-2.34484590e+04,  1.02387891e+03,  3.44388110e+03,\n",
                            "         -1.25443335e+03,  8.13408356e+01, -7.52409744e+01],\n",
                            "        [-3.89257422e+04, -4.96432617e+03,  1.06509041e+02,\n",
                            "         -4.44692822e+03,  3.91465225e+01,  2.07021591e+02],\n",
                            "        ...,\n",
                            "        [ 1.01885801e+04,  1.16335869e+02,  4.08291443e+02,\n",
                            "         -2.64133667e+03,  2.15579498e+02, -1.29476761e+02],\n",
                            "        [ 7.06979736e+03, -7.04508606e+02,  6.12370789e+02,\n",
                            "         -2.58942432e+03,  5.83515320e+01,  2.63631763e+01],\n",
                            "        [ 6.61788672e+03, -5.68839160e+03, -3.21880890e+02,\n",
                            "         -4.44795850e+03, -9.77329163e+02,  3.83126587e+02]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[-1.04840055e+05, -4.70084375e+04, -3.73781641e+04,\n",
                            "         -1.69710664e+04, -6.83919601e+01, -4.50002289e+02],\n",
                            "        [-5.06672891e+04,  2.73838452e+03,  9.09365039e+03,\n",
                            "         -1.89116357e+03,  2.20604797e+02, -1.26405624e+02],\n",
                            "        [-8.42736016e+04, -1.19750898e+04, -8.18701248e+01,\n",
                            "         -8.20814648e+03,  7.18703384e+01,  4.27924744e+02],\n",
                            "        ...,\n",
                            "        [ 3.76055586e+04,  2.70066382e+03,  1.32220825e+03,\n",
                            "         -1.40359697e+04,  8.46136597e+02, -5.05699005e+02],\n",
                            "        [ 2.67870898e+04,  4.54238922e+02,  2.55717505e+03,\n",
                            "         -1.31917803e+04,  2.39443359e+02,  1.01728439e+02],\n",
                            "        [ 2.51188770e+04, -1.50789824e+04, -1.02254968e+03,\n",
                            "         -2.35351816e+04, -3.90821924e+03,  1.51564709e+03]],\n",
                            "\n",
                            "       [[-1.09579477e+05, -4.95953594e+04, -3.96914570e+04,\n",
                            "         -1.76262246e+04, -6.85027390e+01, -4.60733307e+02],\n",
                            "        [-5.24544531e+04,  2.91616431e+03,  9.67994531e+03,\n",
                            "         -1.91455396e+03,  2.35612656e+02, -1.27949501e+02],\n",
                            "        [-8.75843594e+04, -1.25930576e+04, -1.67251129e+02,\n",
                            "         -8.49706055e+03,  7.33836594e+01,  4.42672363e+02],\n",
                            "        ...,\n",
                            "        [ 4.20180820e+04,  3.29068579e+03,  1.46246997e+03,\n",
                            "         -1.61456777e+04,  9.49143250e+02, -5.67585632e+02],\n",
                            "        [ 2.99093887e+04,  8.65932373e+02,  2.87275732e+03,\n",
                            "         -1.51393564e+04,  2.70139343e+02,  1.13898109e+02],\n",
                            "        [ 2.80943340e+04, -1.58814502e+04, -1.11977356e+03,\n",
                            "         -2.70906562e+04, -4.39748926e+03,  1.70320874e+03]],\n",
                            "\n",
                            "       [[-1.13583438e+05, -5.18183477e+04, -4.17205117e+04,\n",
                            "         -1.81947441e+04, -6.83979645e+01, -4.69166656e+02],\n",
                            "        [-5.38241758e+04,  3.07517920e+03,  1.02040029e+04,\n",
                            "         -1.94041626e+03,  2.49166428e+02, -1.28910309e+02],\n",
                            "        [-9.02867969e+04, -1.31167275e+04, -2.62930817e+02,\n",
                            "         -8.76461328e+03,  7.44312668e+01,  4.54420135e+02],\n",
                            "        ...,\n",
                            "        [ 4.64248828e+04,  3.90854077e+03,  1.60259070e+03,\n",
                            "         -1.82951836e+04,  1.05164062e+03, -6.29355957e+02],\n",
                            "        [ 3.29966719e+04,  1.31243579e+03,  3.18418384e+03,\n",
                            "         -1.71187715e+04,  3.00957672e+02,  1.25958168e+02],\n",
                            "        [ 3.10599844e+04, -1.65141113e+04, -1.21385217e+03,\n",
                            "         -3.07127969e+04, -4.88739697e+03,  1.89066504e+03]]],\n",
                            "      dtype=float32))], surfaces=[], timesteps=array([0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ],\n",
                            "      dtype=float32))"
                        ]
                    },
                    "execution_count": 29,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.states # list of States objects"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### States data:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 30,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "StateData(name='displacement', dom=-1, data=array([[[ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.00220876, -0.00138848,  0.        ],\n",
                            "        [-0.0044777 , -0.00291381,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.03501934, -0.07832458,  0.        ],\n",
                            "        [ 0.03535859, -0.08439115,  0.        ],\n",
                            "        [ 0.03562101, -0.09075736,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.0040143 , -0.00251072,  0.        ],\n",
                            "        [-0.00812449, -0.00527578,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.06155637, -0.14323959,  0.        ],\n",
                            "        [ 0.06199993, -0.15412821,  0.        ],\n",
                            "        [ 0.06229447, -0.16563064,  0.        ]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.0102166 , -0.00648645,  0.        ],\n",
                            "        [-0.02036276, -0.01388767,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.14947748, -0.3811367 ,  0.        ],\n",
                            "        [ 0.14983469, -0.40797347,  0.        ],\n",
                            "        [ 0.14956348, -0.4375061 ,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.01080656, -0.00690494,  0.        ],\n",
                            "        [-0.02147301, -0.01484216,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.15917969, -0.40684003,  0.        ],\n",
                            "        [ 0.15957509, -0.43523568,  0.        ],\n",
                            "        [ 0.15924646, -0.46669516,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.01131956, -0.00728358,  0.        ],\n",
                            "        [-0.02242204, -0.01571946,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.16826567, -0.4302698 ,  0.        ],\n",
                            "        [ 0.16872025, -0.46006113,  0.        ],\n",
                            "        [ 0.16835007, -0.49328837,  0.        ]]], dtype=float32))"
                        ]
                    },
                    "execution_count": 30,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.states.nodes[0]"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 31,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "StateData(name='Lagrange strain', dom=0, data=array([[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        ...,\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00]],\n",
                            "\n",
                            "       [[-2.17677094e-02,  0.00000000e+00,  3.74327949e-03,\n",
                            "         -6.93582371e-03, -4.37995950e-05, -2.12121537e-04],\n",
                            "        [-1.44304177e-02,  4.09667706e-03,  5.80157526e-03,\n",
                            "         -1.21883943e-03,  5.60197332e-05, -6.63803366e-05],\n",
                            "        [-2.22795270e-02,  4.09667706e-03,  7.83721078e-03,\n",
                            "         -3.98436794e-03,  3.43527390e-05,  1.65543141e-04],\n",
                            "        ...,\n",
                            "        [ 5.26422681e-03, -1.79072132e-03, -1.32321590e-03,\n",
                            "         -1.09698484e-03,  1.35720460e-04, -9.22642721e-05],\n",
                            "        [ 3.76291759e-03, -1.79072132e-03, -6.20350009e-04,\n",
                            "         -1.20366516e-03,  3.88481822e-05,  1.51849181e-05],\n",
                            "        [ 4.56744991e-03, -4.31843102e-03, -2.29693338e-04,\n",
                            "         -2.06525391e-03, -6.21005311e-04,  2.85787100e-04]],\n",
                            "\n",
                            "       [[-3.90582196e-02,  0.00000000e+00,  6.69534458e-03,\n",
                            "         -1.25417085e-02, -7.91431958e-05, -3.80462821e-04],\n",
                            "        [-2.57335734e-02,  7.29539804e-03,  1.03692589e-02,\n",
                            "         -2.23168731e-03,  1.01221529e-04, -1.18771379e-04],\n",
                            "        [-3.98102477e-02,  7.29539804e-03,  1.40054580e-02,\n",
                            "         -7.24549964e-03,  6.26781766e-05,  2.96983548e-04],\n",
                            "        ...,\n",
                            "        [ 1.04291877e-02, -3.59612866e-03, -2.62246048e-03,\n",
                            "         -1.94583589e-03,  2.62564688e-04, -1.94546839e-04],\n",
                            "        [ 7.59910978e-03, -3.59612866e-03, -1.25865580e-03,\n",
                            "         -2.20169220e-03,  7.99803020e-05,  2.65620838e-05],\n",
                            "        [ 9.37132537e-03, -8.74294899e-03, -5.08905330e-04,\n",
                            "         -3.88899446e-03, -1.21698214e-03,  6.25088112e-04]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[-9.49234068e-02,  0.00000000e+00,  1.60137974e-02,\n",
                            "         -3.24016511e-02, -2.04027048e-04, -9.26311302e-04],\n",
                            "        [-5.90482466e-02,  1.65700149e-02,  2.44058762e-02,\n",
                            "         -6.17906218e-03,  2.60786124e-04, -2.74899823e-04],\n",
                            "        [-9.34232473e-02,  1.65700149e-02,  3.28529291e-02,\n",
                            "         -1.95991900e-02,  1.65617355e-04,  7.16031471e-04],\n",
                            "        ...,\n",
                            "        [ 3.98563445e-02, -1.43719194e-02, -9.90771782e-03,\n",
                            "         -4.43919096e-03,  9.21695610e-04, -8.83027446e-04],\n",
                            "        [ 3.06086857e-02, -1.43719194e-02, -5.02582826e-03,\n",
                            "         -6.17014943e-03,  3.49059643e-04,  5.59888649e-05],\n",
                            "        [ 3.98842469e-02, -3.57679091e-02, -2.52990308e-03,\n",
                            "         -1.22303627e-02, -4.48134402e-03,  3.11454432e-03]],\n",
                            "\n",
                            "       [[-9.99256521e-02,  0.00000000e+00,  1.68171786e-02,\n",
                            "         -3.44921164e-02, -2.17095192e-04, -9.75765346e-04],\n",
                            "        [-6.14328049e-02,  1.72004160e-02,  2.55326405e-02,\n",
                            "         -6.64548576e-03,  2.77563930e-04, -2.86216731e-04],\n",
                            "        [-9.76665765e-02,  1.72004160e-02,  3.43420096e-02,\n",
                            "         -2.10359637e-02,  1.76507951e-04,  7.52359221e-04],\n",
                            "        ...,\n",
                            "        [ 4.45817485e-02, -1.61659475e-02, -1.10525191e-02,\n",
                            "         -4.63817036e-03,  1.02229952e-03, -1.00125966e-03],\n",
                            "        [ 3.43548208e-02, -1.61659475e-02, -5.61971823e-03,\n",
                            "         -6.68002805e-03,  3.96120304e-04,  5.75903759e-05],\n",
                            "        [ 4.50384207e-02, -4.02831174e-02, -2.87718838e-03,\n",
                            "         -1.33968135e-02, -4.99630766e-03,  3.55860265e-03]],\n",
                            "\n",
                            "       [[-1.04221813e-01,  0.00000000e+00,  1.74986590e-02,\n",
                            "         -3.63835469e-02, -2.28882986e-04, -1.01843383e-03],\n",
                            "        [-6.32932782e-02,  1.76788010e-02,  2.64601391e-02,\n",
                            "         -7.07987975e-03,  2.92746816e-04, -2.95078993e-04],\n",
                            "        [-1.01138130e-01,  1.76788010e-02,  3.55594903e-02,\n",
                            "         -2.23720279e-02,  1.86323217e-04,  7.83163880e-04],\n",
                            "        ...,\n",
                            "        [ 4.92735021e-02, -1.79623552e-02, -1.21813323e-02,\n",
                            "         -4.80537629e-03,  1.12142053e-03, -1.11944962e-03],\n",
                            "        [ 3.80702429e-02, -1.79623552e-02, -6.20182930e-03,\n",
                            "         -7.17152003e-03,  4.43671306e-04,  5.86747301e-05],\n",
                            "        [ 5.01911044e-02, -4.47977670e-02, -3.22174374e-03,\n",
                            "         -1.45287961e-02, -5.50667616e-03,  4.00539767e-03]]],\n",
                            "      dtype=float32))"
                        ]
                    },
                    "execution_count": 31,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.states.elements[0]"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## FEBio Container"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 32,
            "metadata": {},
            "outputs": [],
            "source": [
                "from febio_python import FEBioContainer\n",
                "\n",
                "container = FEBioContainer(feb=feb,\n",
                "                           xplt=xplt)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Can also load from a file directly:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 33,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "feb:  plane_mesh_v40.feb\n"
                    ]
                }
            ],
            "source": [
                "container = FEBioContainer(feb=\"plane_mesh_v40.feb\",\n",
                "                           xplt=\"plane_mesh_v40.xplt\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 34,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb40(4.0):\n",
                            "-> Module: solid\n",
                            "-> Control: 12\n",
                            "-> Material: 1\n",
                            "-> Globals: 1\n",
                            "-> Mesh: 5\n",
                            "--> Nodes: 231\n",
                            "--> Elements: 400\n",
                            "-> MeshDomains: 1\n",
                            "-> MeshData: 2\n",
                            "-> Boundary: 3\n",
                            "-> Loads: 2\n",
                            "-> Discrete: 0\n",
                            "-> Output: 1\n",
                            "-> LoadData: 1"
                        ]
                    },
                    "execution_count": 34,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "container.feb"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 35,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Xplt object [2887623868368]:\n",
                            "=== xplt_mesh: ===\n",
                            "-Nodes:\n",
                            "--->None: (231, 3)\n",
                            "-Elements:\n",
                            "--->None: (400, 3)\n",
                            "=== States: ===\n",
                            "-Nodes:\n",
                            "--->displacement: (11, 231, 3)\n",
                            "-Elements:\n",
                            "--->Lagrange strain: (11, 400, 6)\n",
                            "--->stress: (11, 400, 6)\n",
                            "-Surfaces:"
                        ]
                    },
                    "execution_count": 35,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "container.xplt"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 36,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "[Nodes(name='plane', coordinates=array([[-1. , -0.5,  0. ],\n",
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                            "        169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181,\n",
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                            "        195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207,\n",
                            "        208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220,\n",
                            "        221, 222, 223, 224, 225, 226, 227, 228, 229, 230], dtype=int64))]"
                        ]
                    },
                    "execution_count": 36,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "container.nodes"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Ploting Feb or Xplt"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 37,
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "C:\\Users\\igorp\\AppData\\Roaming\\Python\\Python310\\site-packages\\scipy\\__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 1.26.3\n",
                        "  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n"
                    ]
                },
                {
                    "data": {
                        "text/plain": [
                            "11"
                        ]
                    },
                    "execution_count": 37,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "from febio_python.utils.pyvista_utils import febio_to_pyvista\n",
                "\n",
                "grids_list = febio_to_pyvista(container)\n",
                "len(grids_list)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 38,
            "metadata": {},
            "outputs": [
                {
                    "data": {
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",
                        "text/plain": [
                            "<PIL.Image.Image image mode=RGB size=1024x768>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "grids_list[-1].plot(cpos='xy', show_edges=True, scalars=\"stress\")"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "You can also quickly convert all cell data to node data:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 39,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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                        "text/plain": [
                            "<PIL.Image.Image image mode=RGB size=1024x768>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "last_grid_as_nodal_data = grids_list[-1].cell_data_to_point_data()\n",
                "last_grid_as_nodal_data.plot(cpos='xy', show_edges=True, scalars=\"stress\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 40,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<table style='width: 100%;'><tr><th>Header</th><th>Data Arrays</th></tr><tr><td>\n",
                            "<table style='width: 100%;'>\n",
                            "<tr><th>UnstructuredGrid</th><th>Information</th></tr>\n",
                            "<tr><td>N Cells</td><td>400</td></tr>\n",
                            "<tr><td>N Points</td><td>231</td></tr>\n",
                            "<tr><td>X Bounds</td><td>-1.000e+00, 1.168e+00</td></tr>\n",
                            "<tr><td>Y Bounds</td><td>-9.488e-01, 5.000e-01</td></tr>\n",
                            "<tr><td>Z Bounds</td><td>0.000e+00, 0.000e+00</td></tr>\n",
                            "<tr><td>N Arrays</td><td>19</td></tr>\n",
                            "</table>\n",
                            "\n",
                            "</td><td>\n",
                            "<table style='width: 100%;'>\n",
                            "<tr><th>Name</th><th>Field</th><th>Type</th><th>N Comp</th><th>Min</th><th>Max</th></tr>\n",
                            "<tr><td>right_edge</td><td>Points</td><td>bool</td><td>1</td><td>nan</td><td>nan</td></tr>\n",
                            "<tr><td>left_edge</td><td>Points</td><td>bool</td><td>1</td><td>nan</td><td>nan</td></tr>\n",
                            "<tr><td>all_nodes</td><td>Points</td><td>bool</td><td>1</td><td>nan</td><td>nan</td></tr>\n",
                            "<tr><td>nodal_load_right_edge_scale</td><td>Points</td><td>float64</td><td>1</td><td>8.209e+00</td><td>1.000e+02</td></tr>\n",
                            "<tr><td>nodal_load</td><td>Points</td><td>float64</td><td>3</td><td>-2.500e+01</td><td>1.000e+02</td></tr>\n",
                            "<tr><td>fix</td><td>Points</td><td>int32</td><td>3</td><td>0.000e+00</td><td>0.000e+00</td></tr>\n",
                            "<tr><td>fix_shell</td><td>Points</td><td>int32</td><td>3</td><td>0.000e+00</td><td>0.000e+00</td></tr>\n",
                            "<tr><td>displacement</td><td>Points</td><td>float32</td><td>3</td><td>-4.933e-01</td><td>1.687e-01</td></tr>\n",
                            "<tr><td>domain</td><td>Points</td><td>float32</td><td>1</td><td>0.000e+00</td><td>0.000e+00</td></tr>\n",
                            "<tr><td>Element thickness</td><td>Points</td><td>float64</td><td>3</td><td>1.000e-02</td><td>1.000e-02</td></tr>\n",
                            "<tr><td>mat_parameters:1</td><td>Points</td><td>float64</td><td>2</td><td>3.000e-01</td><td>1.000e+00</td></tr>\n",
                            "<tr><td>Lagrange strain</td><td>Points</td><td>float32</td><td>6</td><td>-1.042e-01</td><td>2.035e-01</td></tr>\n",
                            "<tr><td>stress</td><td>Points</td><td>float32</td><td>6</td><td>-1.136e+05</td><td>2.762e+05</td></tr>\n",
                            "<tr><td><b>stress-normed</b></td><td>Points</td><td>float32</td><td>1</td><td>6.978e+03</td><td>2.955e+05</td></tr>\n",
                            "<tr><td>mat_parameters:1</td><td>Fields</td><td><U7</td><td>1</td><td>nan</td><td>nan</td></tr>\n",
                            "<tr><td>mat_type:1</td><td>Fields</td><td><U17</td><td>1</td><td>nan</td><td>nan</td></tr>\n",
                            "<tr><td>mat_name:1</td><td>Fields</td><td><U14</td><td>1</td><td>nan</td><td>nan</td></tr>\n",
                            "<tr><td>timestep</td><td>Fields</td><td>float32</td><td>1</td><td>1.000e+00</td><td>1.000e+00</td></tr>\n",
                            "<tr><td>lc_1</td><td>Fields</td><td>float32</td><td>1</td><td>1.000e+00</td><td>1.000e+00</td></tr>\n",
                            "</table>\n",
                            "\n",
                            "</td></tr> </table>"
                        ],
                        "text/plain": [
                            "UnstructuredGrid (0x2a05d5ba6e0)\n",
                            "  N Cells:    400\n",
                            "  N Points:   231\n",
                            "  X Bounds:   -1.000e+00, 1.168e+00\n",
                            "  Y Bounds:   -9.488e-01, 5.000e-01\n",
                            "  Z Bounds:   0.000e+00, 0.000e+00\n",
                            "  N Arrays:   19"
                        ]
                    },
                    "execution_count": 40,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "last_grid_as_nodal_data"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "When using the FEBio container, we have access to both Feb and Xplt data. This means that we can retrieve nodal load, boundary conditions, etc. Here is a cool plot that we can do:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 41,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<PIL.Image.Image image mode=RGB size=1024x768>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "plotter = pv.Plotter()\n",
                "strain_xx = last_grid_as_nodal_data[\"Lagrange strain\"][:, 0]\n",
                "fixed_nodes = last_grid_as_nodal_data[\"fix\"].sum(1)\n",
                "\n",
                "plotter.add_mesh(last_grid_as_nodal_data,\n",
                "                 scalars=strain_xx,\n",
                "                 cmap=\"coolwarm\",\n",
                "                 show_edges=True,\n",
                "                 scalar_bar_args={\"title\": \"Strain - XX\"})\n",
                "plotter.add_mesh(last_grid_as_nodal_data.points,\n",
                "                 scalars=fixed_nodes,\n",
                "                 cmap=\"viridis\",\n",
                "                 style=\"points\",\n",
                "                 point_size=10,\n",
                "                 render_points_as_spheres=True, show_scalar_bar=False)\n",
                "plotter.add_arrows(last_grid_as_nodal_data.points,\n",
                "                   last_grid_as_nodal_data[\"nodal_load\"],\n",
                "                   mag=5e-3, # This controls the mag of the arrows. Not the actual load. There may be a better way to control this.\n",
                "                   show_scalar_bar=False,\n",
                "                   color=\"orange\")\n",
                "plotter.show(cpos=\"xy\")"
            ]
        }
    ],
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